[
  {
    "path": ".gitattributes",
    "content": "doc/* linguist-documentation\n"
  },
  {
    "path": ".github/workflows/python-publish.yml",
    "content": "# This workflow will upload a Python Package using Twine when a release is created\n# For more information see: https://docs.github.com/en/actions/automating-builds-and-tests/building-and-testing-python#publishing-to-package-registries\n\n# This workflow uses actions that are not certified by GitHub.\n# They are provided by a third-party and are governed by\n# separate terms of service, privacy policy, and support\n# documentation.\n\nname: Upload Python Package\n\non:\n  release:\n    types: [published]\n\npermissions:\n  contents: read\n\njobs:\n  deploy:\n\n    runs-on: ubuntu-latest\n\n    steps:\n    - uses: actions/checkout@v3\n    - name: Set up Python\n      uses: actions/setup-python@v3\n      with:\n        python-version: '3.x'\n    - name: Install dependencies\n      run: |\n        python -m pip install --upgrade pip\n        pip install build\n    - name: Build package\n      run: python -m build\n    - name: Publish package\n      uses: pypa/gh-action-pypi-publish@27b31702a0e7fc50959f5ad993c78deac1bdfc29\n      with:\n        user: __token__\n        password: ${{ secrets.PYPI_API_TOKEN }}\n"
  },
  {
    "path": ".github/workflows/tests.yml",
    "content": "name: tests\n\non:\n  push:\n    paths:\n      - '**.py' # only run workflow when source files changed\n  pull_request:\n    branches:\n      - master\n    paths:\n      - '**.py'\n\njobs:\n  tests:\n    runs-on: ubuntu-latest\n    strategy:\n      matrix:\n        python-version: [\"3.9\", \"3.10\"]\n\n    steps:\n      - name: Check out repo\n        uses: actions/checkout@v4\n\n      - name: Set up Python ${{ matrix.python-version }}\n        uses: actions/setup-python@v5\n        with:\n          python-version: ${{ matrix.python-version }}\n\n      - name: Install uv\n        run: pip install uv\n\n      - name: Install dependencies\n        run: uv pip install .[test] --system\n\n      - name: Test_general\n        run: pytest tests/test_all.py\n\n      - name: Test_crystal\n        run: pytest tests/test_crystal.py\n\n      - name: Test_lattice\n        run: pytest tests/test_lattice.py\n\n      - name: Test_molecule\n        run: pytest tests/test_molecule.py\n\n      - name: Test_wyckoff\n        run: pytest tests/test_wyckoff.py\n\n      - name: Test_symmetry\n        run: pytest tests/test_symmetry.py\n\n      - name: Test_group\n        run: pytest tests/test_group.py\n\n      - name: Test_lego\n        run: pytest tests/test_lego.py \n\n      - name: Test_supergroup\n        run: pytest tests/test_supergroup.py\n\n      - name: Test_so3\n        run: pytest tests/test_SO3.py\n\n      #- name: Test_xrd\n      #  run: pytest tests/test_xrd.py\n\n\n\n\n"
  },
  {
    "path": ".gitignore",
    "content": "*.py[cod]\n\n# Packages\n*.egg\n*.egg-info\ndist\nbuild\neggs\n.eggs/*\nparts\nbin\nvar\nsdist\ndevelop-eggs\n.installed.cfg\nlib\nlib64\n\n# output files\ntest_summary.txt\nout\n\n# JSmol files for flask app (VXRD)\nflask/app/static/jsmol/\n\n# VS Code\n*.code-workspace\n"
  },
  {
    "path": ".pre-commit-config.yaml",
    "content": "# Install these hooks with `pre-commit install`.\n\nci:\n  autoupdate_schedule: quarterly\n\nrepos:\n  - repo: https://github.com/astral-sh/ruff-pre-commit\n    rev: v0.5.0\n    hooks:\n      - id: ruff\n        args: [--fix]\n      - id: ruff-format\n\n  - repo: https://github.com/pre-commit/pre-commit-hooks\n    rev: v4.6.0\n    hooks:\n      - id: check-case-conflict\n      - id: check-symlinks\n      - id: check-yaml\n      - id: destroyed-symlinks\n      - id: end-of-file-fixer\n      - id: mixed-line-ending\n      - id: trailing-whitespace\n"
  },
  {
    "path": ".readthedocs.yaml",
    "content": "# Read the Docs configuration file for Sphinx projects\n# See https://docs.readthedocs.io/en/stable/config-file/v2.html for details\n\n# Required\nversion: 2\n\n# Set the OS, Python version and other tools you might need\nbuild:\n  os: ubuntu-22.04\n  tools:\n    python: \"3.9\"\n    # You can also specify other tool versions:\n    # nodejs: \"19\"\n    # rust: \"1.64\"\n    # golang: \"1.19\"\n\n# Build documentation in the \"docs/\" directory with Sphinx\nsphinx:\n   configuration: doc/conf.py\n\n# Optionally build your docs in additional formats such as PDF and ePub\n# formats:\n#    - pdf\n#    - epub\n\n# Optional but recommended, declare the Python requirements required\n# to build your documentation\n# See https://docs.readthedocs.io/en/stable/guides/reproducible-builds.html\npython:\n   install:\n   - requirements: doc/requirements.txt\n"
  },
  {
    "path": "LICENSE.txt",
    "content": "MIT License\n\nCopyright 2018 Scott Fredericks, Qiang Zhu\n\nPermission is hereby granted, free of charge, to any person obtaining a copy\nof this software and associated documentation files (the \"Software\"), to deal\nin the Software without restriction, including without limitation the rights\nto use, copy, modify, merge, publish, distribute, sublicense, and/or sell\ncopies of the Software, and to permit persons to whom the Software is\nfurnished to do so, subject to the following conditions:\n\nThe above copyright notice and this permission notice shall be included in all\ncopies or substantial portions of the Software.\n\nTHE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\nIMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\nFITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE\nAUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\nLIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,\nOUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE\nSOFTWARE.\n"
  },
  {
    "path": "MANIFEST.in",
    "content": "include /*.py\ninclude database/*.py\ninclude database/*.csv\ninclude database/*.json\n"
  },
  {
    "path": "README.md",
    "content": "<img src=\"https://raw.githubusercontent.com/MaterSim/PyXtal/master/images/512px_type1.png\" alt=\"PyXtal\" width=\"300\"/>\n\n[![Documentation Status](https://readthedocs.org/projects/pyxtal/badge/?version=latest)](https://pyxtal.readthedocs.io/en/latest/?badge=latest)\n[![Test Status](https://github.com/MaterSim/PyXtal/workflows/tests/badge.svg)](https://github.com/MaterSim/PyXtal/actions)\n[![Download Status](https://img.shields.io/pypi/pyversions/pyxtal)](https://pypi.org/project/pyxtal/)\n[![Download Status](https://img.shields.io/pypi/v/pyxtal)](https://pypi.org/project/pyxtal/)\n[![Downloads](https://pepy.tech/badge/pyxtal)](https://pepy.tech/project/pyxtal)\n[![DOI](https://zenodo.org/badge/128165891.svg)](https://zenodo.org/badge/latestdoi/128165891)\n[![Gitter](https://badges.gitter.im/PyXtal/community.svg)](https://gitter.im/PyXtal/community?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge)\n<img align=\"right\" width=\"450\" src=\"https://raw.githubusercontent.com/MaterSim/PyXtal/master/images/water.gif\">\n\n\n## Table of content\n- [Introduction](#introduction)\n- [Quick Start](#quick-start)\n- [Current Features](#current-features)\n- [Installation](#installation)\n- [Citation](#citation)\n- [How to contribute?](#how-to-contribute)\n\n\n## Introduction\n\nPyXtal is an open source Python package which was initiated by [Qiang Zhu](http://qzhu2017.github.io) and Scott Fredericks. The goal of PyXtal is to develop a fundamental library to allow one to design the material structure with a certain symmetry constraint. These structures can exported to various structural formats for further study. See the [documentation](https://pyxtal.readthedocs.io/en/latest/) for more information.\n\nTo contribute to this project, please check [How to contribute?](#how-to-contribute).\n\n## Quick Start\n\n- [Atomic crystal](https://nbviewer.jupyter.org/github/MaterSim/PyXtal/blob/master/examples/tutorials_notebook/01_atomic_crystals.ipynb)\n- [Molecular crystal](https://nbviewer.jupyter.org/github/MaterSim/PyXtal/blob/master/examples/tutorials_notebook/02_molecular_crystals.ipynb)\n- [XRD](https://nbviewer.jupyter.org/github/MaterSim/PyXtal/blob/master/examples/tutorials_notebook/03_pxrd.ipynb)\n- [Molecular Packing](https://nbviewer.org/github/MaterSim/PyXtal/blob/master/examples/tutorials_notebook/05-crystal-packing.ipynb)\n\n## Current Features\n\n- Generation of atomic structures for a given symmetry and stoichiometry (0-3D)\n- Generation of molecular crystals (1-3D) with the support of special Wyckoff positions.\n- Structure manipulation via subgroup/supergroup symmetry relation\n- Geometry optimization from built-in and external optimization methods.\n- Internal support of ``cif`` file and many other formats via ``pymatgen`` or ``ASE``.\n- Easy access to symmetry information (e.g., Wyckoff, site symmetry and international symbols).\n- X-ray diffraction analysis and [its online application](https://vxrd.physics.unlv.edu)\n\n## Installation\n\nTo install the code, one just needs to do\n\n```sh\npip install pyxtal\n```\n\nor\n\n```sh\npip install --upgrade git+https://github.com/MaterSim/PyXtal.git@master\n```\n\nIf you want to add the Julia package install (required by the use of `pyxtal.lego` module), please use\n\n```sh\nexport INSTALL_JULIA=1 && pip install pyxtal \n```\n\nTo check if the installation is successful, run the following script,\n```python\n\nfrom juliacall import Main as jl\njl.seval(\"using CrystalNets\")\nprint(\"Success\")\n```\n\n## Citation\n\n### General PyXtal\n\nFredericks S, Parrish K, Sayre D, Zhu Q\\*(2020)\n[PyXtal: a Python Library for Crystal Structure Generation and Symmetry Analysis](https://www.sciencedirect.com/science/article/pii/S0010465520304057).\n\\[[arXiv link](https://arxiv.org/pdf/1911.11123.pdf)\\]\n\n```bib\n@article{pyxtal,\ntitle = \"PyXtal: A Python library for crystal structure generation and symmetry analysis\",\njournal = \"Computer Physics Communications\",\nvolume = \"261\",\npages = \"107810\",\nyear = \"2021\",\nissn = \"0010-4655\",\ndoi = \"https://doi.org/10.1016/j.cpc.2020.107810\",\nurl = \"http://www.sciencedirect.com/science/article/pii/S0010465520304057\",\nauthor = \"Scott Fredericks and Kevin Parrish and Dean Sayre and Qiang Zhu\",\n}\n```\n\n### Site Symmetry Representation\nLevy D, Panigrahi S-S, Kaba S-O, Zhu Q, Galkin M, Miret S, Ravanbakhsh S. (2024) \n[SymmCD: Symmetry-Preserving Crystal Generation with Diffusion Models AI for Accelerated Materials Design](https://openreview.net/forum?id=V7x2KZQn2v)\nNeurIPS 2024, \n\n```bib\n@inproceedings{\nlevy2024symmcd,\ntitle={Symm{CD}: Symmetry-Preserving Crystal Generation with Diffusion Models},\nauthor={Daniel Levy and Siba Smarak Panigrahi and S{\\'e}kou-Oumar Kaba and Qiang Zhu and Mikhail Galkin and Santiago Miret and Siamak Ravanbakhsh},\nbooktitle={AI for Accelerated Materials Design - NeurIPS 2024},\nyear={2024},\nurl={https://openreview.net/forum?id=V7x2KZQn2v}\n}\n```\n\n\n### Symmetry relation\nZhu Q, Kang B, Parrish K (2022). \n[Symmetry Relation Database and Its Application to Ferroelectric Materials Discovery](https://link.springer.com/article/10.1557/s43579-022-00268-4)\n\n```bib\n@article{zhu2022symmetry,\n  title=\"Symmetry relation database and its application to ferroelectric materials discovery\",\n  author=\"Zhu, Qiang and Kang, Byungkyun and Parrish, Kevin\",\n  journal=\"MRS Communications\",\n  volume=\"12\",\n  number=\"5\",\n  pages=\"686--691\",\n  year=\"2022\",\n  doi=\"https://doi.org/10.1557/s43579-022-00268-4\",\n```\n\n### Organic crystal packing motif\nZhu Q, Tang W-L, Hattori S. (2022). \n[Quantification of Crystal Packing Similarity from Spherical Harmonic Transform](https://pubs.acs.org/doi/10.1021/acs.cgd.2c00933)\n\n```bib\n@article{zhu2022quantification,\n  title=\"Quantification of Crystal Packing Similarity from Spherical Harmonic Transform\",\n  author=\"Zhu, Qiang and Tang, Weilun and Hattori, Shinnosuke\",\n  journal=\"Crystal Growth \\& Design\",\n  volume=\"22\",\n  number=\"12\",\n  pages=\"7308--7316\",\n  year=\"2022\",\n  doi=\"https://doi.org/10.1021/acs.cgd.2c00933\",\n}\n```\n\n## How to contribute?\n\nThis is an open-source project. Its growth depends on the community. To contribute to PyXtal, you don't necessarily have to write the code. Any contributions from the following list will be helpful.\n\n- [![Star on GitHub](https://img.shields.io/github/stars/qzhu2017/pyxtal.svg?style=social)](https://github.com/MaterSim/pyxtal/stargazers)\n the PyXtal project and recommend it to your colleagues/friends\n- Open an [![GitHub issues](https://img.shields.io/github/issues/qzhu2017/pyxtal.svg)](https://GitHub.com/MaterSim/pyxtal/issues/) to report the bug or address your wishlist or improve our documentation\n- [![GitHub forks](https://img.shields.io/github/forks/qzhu2017/pyxtal?style=social)](https://github.com/MaterSim/PyXtal/network/members) the repository and send us the pull request\n"
  },
  {
    "path": "SECURITY.md",
    "content": "# Security Policy\n\n## Supported Versions\n\nUse this section to tell people about which versions of your project are\ncurrently being supported with security updates.\n\n| Version | Supported          |\n| ------- | ------------------ |\n| 5.1.x   | :white_check_mark: |\n| 5.0.x   | :x:                |\n| 4.0.x   | :white_check_mark: |\n| < 4.0   | :x:                |\n\n## Reporting a Vulnerability\n\nUse this section to tell people how to report a vulnerability.\n\nTell them where to go, how often they can expect to get an update on a\nreported vulnerability, what to expect if the vulnerability is accepted or\ndeclined, etc.\n"
  },
  {
    "path": "_config.yml",
    "content": "markdown: GFM\n"
  },
  {
    "path": "doc/Algorithm.rst",
    "content": "How PyXtal Works\n================\n\nPyXtal is a free, open source Python package intended to aid with crystal structure prediction and other purposes of crystal symmetry analysis. It is our aim to make our tools and theory freely available, in order to expand the knowledge and utilization of crystallographic symmetry. To this end, we outline the basic algorithms used by PyXtal. For more general information about crystallography, see the `Background and Theory <Background.html>`_ page.\n\nOverview\n--------\n\nIn order to generate random symmetrical crystals, PyXtal uses space groups and their Wyckoff positions as templates, then **inserts atoms (or molecules) one Wyckoff position at a time, until the desired stoichiometry is reached**. This ensures that the correct symmetry will be obtained, without the need to adjust atomic positions. Along the way, it checks that the atoms are sufficiently far apart. To generate a single random crystal, PyXtal performs roughly seven steps:\n\n.. figure:: ../images/Flowchart.png\n   :height: 450 px\n   :width: 300 px\n   :scale: 100 %\n   :align: center\n\n   PyXtal Structure Generation Flowchart. \n\n\n1) Get the input parameters from the user. \n\n\n2) Check the compatibility of the stoichiometry with the space group. \n\n.. Because atoms lie in Wyckoff positions, and these can only have specific numbers of atoms in them, not every number of atoms will be able to fit into a unit cell without breaking the symmetry. To check this, we consider the full number of each type of atom, then reduce this number by the size of a Wyckoff position, beginning with the largest (general) position. If the number goes to exactly zero for each atom type, we say the stoichiometry is compatible with the space group. Additionally, we check the degrees of freedom of each Wyckoff position, so as to avoid placing multiple atoms in the same location. For molecular crystals, we also check whether the molecules can be symmetrically oriented into each Wyckoff position.\n\n3) Generate a random lattice consistent with the space group. \n\n.. The cell parameters are based on both the crystal class (which determines the latice angles) and the stoichiometry (which determines the volume). Where there is some leeway for the lattice parameters, a value will be randomly chosen, with preference for more symmetrical values. If the user has defined a lattice, that will be used instead. For randomly generated lattices, we also check that the atoms or molecules can fit into the unit cell without extending outside of it.\n\n4) Begin placing atoms into Wyckoff positions, one atomic specie at a time. \n\n.. First we check the multiplicity of the general Wyckoff position. If at least this number of atoms still needs to be added, then we place the atoms into the general position. If fewer atoms are needed, we instead place the atoms into a special Wyckoff position, beginning with the largest, then decreasing in multiplicity as needed. We choose a random vector between [0,0,0] and (1,1,1), and use this as the generating point for the atoms in the Wyckoff position.\n\n5) Check that the atoms in the single Wyckoff position are not too close together. If the minimum distance is smaller than some tolerance (based on the atomic species), then we merge the Wyckoff position into a smaller special position. \n\n.. To do this, we first group atoms together based on the shortest distances between them, then replace the clusters with single atoms at the clusters' geometric centers. We check the Wyckoff position of the resulting cluster, then continue to merge as needed until the atoms are sufficiently far apart.\n\n6) Check the inter-atomic distance between the newly generated Wyckoff position and the previously generated positions. If the distances are too close, we choose a new generating point within the same original Wyckoff position. For molecular crystals, we also attempt to reorient the molecule, so as to reduce the distance between atoms.\n\n\n7) Continue to place Wyckoff positions and species into the crystal, until the proper stoichiometry is reached. If any step between 3-6 fails, we repeat it, up to a pre-determined maximum number of attempts. \n\n.. If this still fails, we go to the previous step and retry, up to a different maximum number of attempts. If we succeed, we store the information within the random_crystal class and set random_crystal.valid to True. If we fail after the maximum number of attempts, we output an error message and set random_crystal.valid to False.\n\nIf the generation succeeds, the resulting crystal can be (energetically) optimized and compared with other possible structures. After many attempts, the lowest-energy structure will be the one most likely to exist at the specified conditions. This can be used, for example, to determine the phase diagram of a solid without the need to perform any experiments.\n\nNext, we explain the steps listed above in greater detail.\n\nUser Input\n----------\nThis includes the crystal's stoichiometry, space group, and volume factor. Optionally, the desired lattice and allowed inter-atomic distances can also be defined (which is useful for testing at higher pressures). Otherwise, these parameters will be chosen automatically.\n\n\nChecking Compatibility\n----------------------\nBefore attempting to generate a structure, PyXtal must make sure it is possible to do so. The WP's in different space groups have different multiplicities. As a result, not every number of atoms is compatible with every space group. For example, consider the space group ``Pn-3n (222)``. \n\n::\n\n    $ pyxtal_symmetry -s 222\n\n    -- Space group # 222 (Pn-3n)--\n    48i site symm: 1\n    ...\n    ...\n    ...\n    6b site symm: 42 . 2\n      3/4, 1/4, 1/4\n      1/4, 3/4, 1/4\n      1/4, 1/4, 3/4\n      1/4, 3/4, 3/4\n      3/4, 1/4, 3/4\n      3/4, 3/4, 1/4\n    2a site symm: 4 3 2\n      1/4, 1/4, 1/4\n      3/4, 3/4, 3/4\n\nThe smallest Wyckoff position is ``2a``, with the next smallest being ``6b``. It is impossible to create a crystal with 4 atoms in the unit cell for this symmetry group, because no combination of Wyckoff positions adds up to 4. The position ``2a`` cannot be repeated, because it falls on the exact coordinates ``(1/4, 1/4, 1/4)`` and ``(3/4, 3/4, 3/4)``. A second set of atoms in the 2a position would overlap the atoms in the first position, but this is not physically possible.\n\nThus, it is necessary to check the input stoichiometry against the Wyckoff positions of the desired space group. To accomplish this, PyXtal iterates through all possible Wyckoff position combinations within the confines of the stoichiometry. As soon as one valid combination is found, the check returns ``True``. If no valid combination is found, the check returns ``False``, and the generation attempt fails with a warning.\n\nSome space groups allow valid combinations of WP's, but may not give many degrees of freedom for generation. It may also be the case that the allowed combinations result in atoms which are too close together. In these cases, PyXtal will attempt generation as usual: until the maximum limit is reached, or until a successful generation occurs. If generation repeatedly fails for a given combination of space group and stoichiometry, the user should make note and avoid the combination going forward.\n\nLattice Generation\n------------------\nThe first step in PyXtal's structure generation is the choice of unit cell. Depending on the symmetry group, a specific type of lattice must be generated. For all crystals, the conventional cell choice is used to avoid ambiguity. The most general case is the triclinic cell, from which other cell types can be obtained by applying various constraints.\n\nTo generate a triclinic cell, 3 real numbers are randomly chosen (using a Gaussian distribution centered at 0) as the off-diagonal values for a 3x3 shear matrix. Treating this matrix as a cell matrix, one obtains 3 lattice angles. For the lattice vector lengths, a random 3-vector between (0, 0, 0) and (1, 1, 1) is chosen (using a Gaussian distribution centered at (0.5, 0.5, 0.5)). The relative values of the x, y, and z coordinates are used for a, b, and c respectively, and scaled based on the required volume.\n\nFor other cell types, any free parameters are obtained using the same methods as for the triclinic case, along with any necessary constraints. In the tetragonal case, for example, all angles must be 90 degrees. Thus, only a random vector is needed to generate the lattice constants.\n\nFor molecular crystals, the issue of generating the lattice is also dependent on molecular orientation. Thus, the lattice must be checked for every molecule in the crystal. To do this, the atoms in the original molecule are checked against the atoms in periodically translated copies of the molecule. Here, standard atom-atom distance checking is used.\n\n\nGeneration of Wyckoff Positions\n-------------------------------\nThe central building block for crystals in PyXtal is the Wyckoff position (WP). Once a space group and lattice are chosen, WP's are inserted one at a time to add structure.\n\nPyXtal starts with the largest available WP, which is the general position of the space group. If the number of atoms required is equal to or greater than the size of the general position, the algorithm proceeds. If fewer atoms are needed, the next largest WP (or set of WP's) is chosen, in order of descending multiplicity. This is done to ensure that larger positions are preferred over smaller ones; this reflects the greater prevalence of larger multiplicities both statistically and in nature.\n\nChecking Inter-atomic Distances\n-------------------------------\nTo produce structures with realistic bonds and bond lengths, the generated atoms should not be too close together. In PyXtal this means that by default, two atoms should be no closer than the covalent bond length between them. However, for a given application the user may decide that shorter or longer cutoff distances are appropriate. For this reason, PyXtal has a custom tolerance matrix class which allows the user to define the distances allowed between any two types of atoms.\n\nBecause crystals have periodic symmetry, any point in a crystal actually corresponds to an infinite lattice of points. Likewise, any separation vector between two points actually corresponds to an infinite number of separation vectors. For the purposes of distance checking, only the shortest of these vectors are relevant. When a lattice is non-Euclidean, the problem of finding shortest distances with periodic boundary conditions is non-trivial, and the general solution can be computationally expensive \\cite{LatticeProblem}. So instead, an approximate solution is used based on assumptions about the lattice geometry:\n\nFor any two given points, PyXtal first considers only the separation vector which lies within the ``central`` unit cell spanning between (0, 0, 0) and (1, 1, 1). For example, if the original two (fractional) points are (-8.1, 5.2, -4.8) and (2.7, -7.4, 9.3), one can directly obtain the separation vector (-10.8, 12.6, -14.1). This is then translated to the vector (0.2, 0.6, 0.9), which lies within the central unit cell. PyXtal also considers those vectors lying within a 3x3x3 supercell centered on the first vector. These would include (1.2, 1.6, 1.9), (-0.8, -0.4, -0.1), (-0.8, 1.6, 0.9), etc. This gives a total of 27 separation vectors to consider. After converting to absolute coordinates, one can calculate the Euclidean length of each of these vectors and thus find the shortest distance.\n\nNote that this does not work for certain vectors within some highly distorted lattices. Often the shortest Euclidean distance is accompanied by the shortest fractional distance, but whether this is the case or not depends on how distorted the lattice is. However, because all lattices are required to have no angles smaller than 30 degrees or larger than 150 degrees, this is not an issue.\n\n.. figure:: ../images/skew.png\n   :height: 700 px\n   :width: 800 px\n   :scale: 50 %\n   :align: center\n\n   Distorted Unit Cell. Due to the cell's high level of distortion, the closest neighbors for a single point lie more than two unit cells away. In this case, the closest point to the central point is located two cells to the left and one cell diagonal-up. To find this point using PyXtal's distance checking method, a 5x5x5 unit cell would be needed. For this reason, a limit is placed on the distortion of randomly generated lattices.\n\nFor two given sets of atoms (for example, when cross-checking two WP's in the same crystal), one can calculate the shortest inter-atomic distances by applying the above procedure for each unique pair of atoms. This only works if it has already been established that both sets on their own satisfy the needed distance requirements.\n\nThanks to symmetry, it is not necessary to calculate every atomic pair between two Wyckoff positions. For two Wyckoff positions A and B, one need only calculate either the separations between one atom in A and all atoms in B, or one atom in B and all atoms in A. This is because the symmetry operations which duplicate a point in a Wyckoff position also duplicate the separation vectors associated with that point. This is also true for a single Wyckoff position; for example, in a Wyckoff position with 16 points, only 16 calculations are needed, as opposed to 256. This can significantly speed up the calculation for larger Wyckoff positions.\n\nFor a single WP, it is necessary to calculate the distances for each unique atom-atom pair, but also for the lattice vectors for each atom by itself. Since the lattice is the same for all atoms in the crystal, this check only needs to be performed on a single atom of each specie. For atomic crystals, this just means ensuring that the generated lattice is sufficiently large.\n\n\n\nFor molecules, the process is slightly more complicated. Depending on the molecule's orientation within the lattice, the inter-atomic distances can change. Additionally, one must calculate the distances not just between molecular centers, but between every unique atom-atom pair. This increases the number of needed calculations, in rough proportion to the square of size of the molecules. As a result, this is typically the largest time cost for generation of molecular crystals.\n\n\nMerging and Checking Wyckoff Positions\n--------------------------------------\nOnce a WP is chosen, a random 3-vector between (0, 0, 0) and (1, 1, 1) is created. This acts as the generating point. Projecting this vector into the WP, one obtains a set of coordinates in real space. Then, the distances between these coordinates are checked. If the atom-atom distances are all greater than a pre-defined limit, the WP is kept and the algorithm continues. If any of the distances are too small, it is an indication that the WP would not occur with that generating point. In this case, the coordinates are merged together into a smaller WP, if possible. This merging continues until the atoms are no longer too close together (see below).\n\n.. figure:: ../images/merge.png\n   :height: 700 px\n   :width: 800 px\n   :scale: 80 %\n   :align: center\n\n   Wyckoff Position Merging Example. Shown are possible mergings of the general position 8c of the 2D point group 4mm. Moving from 8c to 4b (along the solid arrows) requires a smaller translation than for 4a (along the dashed arrows). Thus, if the atoms in 8c were too close together, PyXtal would merge them into 4b instead of 4a. The atoms could be further merged into position 1o by following the arrows shown in the bottom right image.\n\n\n\nTo merge into a smaller position, the original generating point is projected into each of the remaining WP's. The WP with the smallest translation between the original point and the transformed point is chosen, so long as the new WP is a subset of the original one, and so long as the new points are not too close together. If the atoms are still too close together, the WP is discarded and another attempt is made.\n\nOnce a satisfactory WP has been filled, the inter-atomic distances between the current WP and the already-added WP's are checked. If all distances are acceptable, the algorithm continues. More WP's are then added as needed until the desired number of atoms has been reached. At this point, either a satisfactory structure has been generated, or the generation has failed. If the generation fails, then either smaller distances tolerances or a larger volume factor might increase the chances of success. However, altering these quantities too drastically may result in less realistic crystals. Common sense and system-specific intuition should be applied when adjusting these parameters.\n\nFinding Valid Molecular Orientations\n------------------------------------\nIn crystallography, atoms are typically assumed to be point particles with no well-defined orientation. Since the object occupying a crystallographic Wyckoff position is usually an atom, it is further assumed that the object's symmetry group contains the Wyckoff position's site symmetry as a subgroup. If this is the case, the only remaining condition for occupation of a Wyckoff position is the location within the unit cell. However, if the object is instead a molecule, then the Wyckoff position compatibility is also determined by orientation and shape.\n\nTo handle the general case, one must ensure that the object 1) is sufficiently symmetric, and 2) is oriented such that its symmetry operations are aligned with the Wyckoff site symmetry. The result is that different point group symmetries are compatible with only certain Wyckoff positions. For a given molecule and Wyckoff position, one can find all valid orientations as follows:\n\n1. Determine the molecule's point group and point group operations. This is currently handled by Pymatgen's build-in `PointGroupAnalyzer class <https://pymatgen.org/pymatgen.symmetry.analyzer.html#pymatgen.symmetry.analyzer.PointGroupAnalyzer>`_, which produces a list of symmetry operations for the molecule.\n\n2. Associate an axis to every symmetry operation. For now, it can be assumed that the axis is centered at the origin. For a rotation or improper rotation, use the *rotational axis*. For a mirror plane, use *an axis perpendicular to the plane*. Note that inversional symmetry does not add any constraints, since the inversion center is always located at the molecule's center of mass.\n\n3. Find up to two non-collinear axes in the site symmetry and calculate the angle between them. Find all conjugate operations (with the same order and type) in the molecular point symmetry with the same angle between the axes, and store the rotation which maps the pairs of axes onto each other. For example, if the site symmetry were ``mmm``, then choose two reflectional axes, say the x and y axes or the y and z axes. Then, look for two reflection operations in the molecular symmetry group. If the angle between these two operation axes is 90 degrees, store the rotation which maps the two molecular axes onto the Wyckoff axes for every pair of reflections with 90 degrees separating them.\n\n4. For a given pair of axes, there are two rotations which can map one onto the other, with opposite directions of the molecular axis. Depending on the molecular symmetry, these two rotations may produce the same molecular orientation. Using the list of rotations calculated in step 3, remove redundant orientations which are equivalent to each other.\n\n5. For each found orientation, check that the rotated molecule is symmetric under the Wyckoff site symmetry. To do this, simply check the site symmetry operations one at a time by transforming the molecule and checking for equivalence with the untransformed molecule.\n\n6. For the remaining valid rotations, store the rotation matrix and the number of degrees of freedom. If two axes were used to constrain the molecule, then there are no degrees of freedom. If one axis is used, then there is one rotational degree of freedom, and store the axis about which the molecule may rotate. If no axes are used (because there are only point operations in the site symmetry), there are three (stored internally as two) degrees of freedom, meaning the molecule can be rotated freely in 3 dimensions.\n\nPyXtal performs these steps for every Wyckoff position in the symmetry group and stores the nested list of valid orientations. When a molecule must be inserted into a Wyckoff position, an allowed orientation is randomly chosen from the list. This forces the overall symmetry group to be preserved, because symmetry-breaking positions are not allowed.\n\nIt is worth noting that the general position of any symmetry group always has site symmetry group 1. This means that any molecule can always be inserted into the general position with any orientation. However, many real crystals have molecules located in special positions, and thus this method alone is insufficient for generating realistic structures [1]_.\n\nAnother important consideration is whether a symmetry group will produce inverted copies of the constituent molecules. In many cases, a chiral molecule's mirror image will possess different chemical or biological properties \\cite{chirality}. For pharmaceutical applications in particular, one may not want to consider crystals containing mirror molecules. By default, PyXtal does not generate crystals with mirror copies of chiral molecules. The user can choose to allow inversion if desired.\n\n\n.. [1] U. M. ller, “3.2.4. molecular symmetry,”International Tables for Crystallography, vol. A, p.72776, 2016.\n"
  },
  {
    "path": "doc/Background.rst",
    "content": "Background and Theory\n=====================\nThis is a pedagogical introduction to crystallography and basic group theory.\nFor information about how PyXtal works specifically, see the\n`Algorithm <Algorithm.html>`_ page.\n\n\nCrystals and Structures\n-----------------------\nWhen studying solids, it is often useful to describe a material's structure at\nthe atomic level. From this description one can (in theory) determine the\nmaterial's physical properties, including mechanical strength, electrical and\nthermal conductivity, melting point, etc. Due to the near-infinite number of\npossible materials and atomic geometries, it is necessary to have a consistent\nmathematical framework. This is described by *crystallography*.\n\nFor an atomic structure, we could describe the geometry by specifying the type\nand position of every atom. This works alright for molecules, and is in fact how\ncomputers typically encode molecules. But for an ideal crystal, which is\ninfinitely large, it is impossible to describe where each individual atom lies.\nFortunately, because crystals are symmetrical, we can specify one part of the\ncrystal, and then use the symmetry operations to *generate* the rest of the\ncrystal. This creates a perfectly symmetrical structure which is infinitely\nlarge in size. Such objects do not exist in nature, but they are nevertheless\nuseful for understanding small parts of real, imperfect crystals. So, we call\nthis infinite and symmetrical object an *ideal crystal*.\n\nMost inorganic materials are formed by many small (nearly) ideal crystals called\n*grains*. These grains may have different shapes, sizes, and orientations, but\neach grain has the same crystal structure at the inter-atomic scale. If we can\ndetermine this crystal structure, it becomes possible to predict the way that\nthe grains form and interact with each other. From this, we can go on to predict\nproperties at larger and larger scales, and determine how useful a material will\nbehave in different physical situations. Therefore, determining a material's\nsmall-scale crystal structure is absolutely essential for modern materials\nscience and engineering.\n\nAt different pressures and temperatures, a material may go through a solid\n*phase transition*, and take on a different crystal structure. So, one job of\ncrystallographers is to determine how a system will change under different\nconditions. Often, new structures will form at high pressure, and sometimes\nthese structures have vastly superior properties (think diamond .v.s graphite).\nThus, high pressure physics forms an active branch of physics and chemistry,\nand is a potential avenue for finding high temperature superconductors.\n\nPeriodicity, Lattices, and Unit Cells\n-------------------------------------\n\nFormally, an ideal crystal is an atomic structure that is periodic in three\ndimensions. This means that when we translate the structure by a certain amount\n(in any one of 3 directions unique to the crystal), the crystal will look the\nsame. This can be pictured in a few simple steps:\n\n1. Define a small parallelepiped-shaped box.\n2. Put atoms into the box (You can put as few or as many atoms as you like.\n\n.. image:: ../images/unit_cell1.png\n   :height: 444 px\n   :width: 576 px\n   :scale: 35 %\n   :alt: single unit cell\n   :align: center\n\n3. Make a copy of the box and place it adjacent to the original box.\n\n.. image:: ../images/unit_cell2.png\n   :height: 763 px\n   :width: 995 px\n   :scale: 35 %\n   :alt: repeated unit cell\n   :align: center\n\n4. Make a copy of the copy, and place that adjacent to the previous one, but\nalong a different axis.\n\n.. image:: ../images/unit_cell3.png\n   :height: 763 px\n   :width: 983 px\n   :scale: 35 %\n   :alt: repeated unit cell\n   :align: center\n\n5. Repeat step 4 until you have filled all of space.\n\n.. image:: ../images/unit_cell4.png\n   :height: 763 px\n   :width: 1095 px\n   :scale: 35 %\n   :alt: full crystal\n   :align: center\n\nWe say that the resulting object has *translational symmetry*, or that it is\n*periodic*. We can be more specific by defining the vectors of translational\nsymmetry. For a given crystal, there are 3 such linearly independent vectors.\nThese 3 vectors, placed into a matrix, define what is called the unit cell.\nAlternatively, we can define the unit cell using the lengths of each side of the\nbox (usually called a, b, c), along with the angles between them (usually called\n:math:`alpha, beta, gamma`). These 6 values are called the cell parameters. The\nunit cell is any parallepiped-shaped part of the crystal which can be used to\ngenerate the rest of the crystal through translations alone. Any unit cell which\nhas the smallest possible volume is called a *primitive cell*.\n\nNote: a given crystal can have multiple ways to define a primitive cell, and\nthere is not always a clearly preferred choice. Consider a 2-dimensional square\nlattice. You could just as well define the lattice using parallelograms which\nrun along the diagonal lines:\n\n.. image:: ../images/equivalent_lattices.png\n   :height: 488 px\n   :width: 1604 px\n   :scale: 35 %\n   :alt: equivalent lattices\n   :align: center\n\nTo avoid this confusion, there is a set of standards (defined in the\n`International Tables of Crystallography <https://it.iucr.org/>`_) which is\ntypically used. A cell based on these standards is called the *conventional cell*.\nIn many cases, the conventional cell is not actually a primitive cell. Instead,\nthe conventional cell may have extra atoms which exist in specific locations\nwithin the cell. So the cell type is determined both by the cell parameters,\nand by any additional atomic sites within the cell.\n\nDifferent cell parameters lead to different rotational symmetries of the unit\ncell (we will discuss this more below). Based on these symmetries, unit cells\ncan be divided into seven different ``crystal classes``. Each crystal class has\na different range of allowable cell parameters; triclinic is the general class,\nrequiring no symmetry. Combining these restrictions with possible extra lattice\npositions, we get 14 possible types of lattices, called the *Bravais lattices*.\nWe list these here:\n\n.. list-table::\n\n    * - .. figure:: ../images/triclinic.png\n            :scale: 80% %\n            :figclass: align-center\n\n            Triclinic\n\n      - .. figure:: ../images/monoclinic_P.png\n            :scale: 80% %\n            :figclass: align-center\n\n            P-monoclinic\n\n      - .. figure:: ../images/monoclinic_C.png\n            :scale: 80 %\n            :figclass: align-center\n\n            C-monoclinic\n\n      - .. figure:: ../images/orthorhombic_P.png\n            :scale: 80 %\n            :figclass: align-center\n\n            P-orthorhombic\n\n    * - .. figure:: ../images/orthorhombic_C.png\n            :scale: 80 %\n            :figclass: align-center\n\n            C-orthorhombic\n\n      - .. figure:: ../images/orthorhombic_I.png\n            :scale: 80 %\n            :figclass: align-center\n\n            B-orthorhombic\n\n      - .. figure:: ../images/orthorhombic_F.png\n            :scale: 80 %\n            :figclass: align-center\n\n            F-orthorhombic\n\n      - .. figure:: ../images/tetragonal_P.png\n            :scale: 80 %\n            :figclass: align-center\n\n            P-tetragonal\n\n.. list-table::\n\n    * - .. figure:: ../images/tetragonal_I.png\n            :scale: 100 %\n            :figclass: align-center\n\n            B-tetragonal\n\n      - .. figure:: ../images/hexagonal.png\n            :scale: 100 %\n            :figclass: align-center\n\n            Hexagonal\n\n      - .. figure:: ../images/rhombohedral.png\n            :scale: 100 %\n            :figclass: align-center\n\n            Rhombohedral\n\n    * - .. figure:: ../images/cubic_P.png\n            :scale: 100 %\n            :figclass: align-center\n\n            R-cubic\n\n      - .. figure:: ../images/cubic_I.png\n            :scale: 100 %\n            :figclass: align-center\n\n            Body-centered cubic\n\n      - .. figure:: ../images/cubic_F.png\n           :scale: 100 %\n           :figclass: align-center\n\n           Face-centered cubic [#]_\n\nMuch like squares can be considered a special case of rectangles, all unit cells\ncan be thought of as special cases of triclinic cells. Cubic cells are a subset\nof tetragonal cells, tetragonal cells are a subset of orthorhombic cells, and so\non. The hexagonal and trigonal lattices are somewhat special cases. They can be\ngenerated using either trigonal/hexagonal prisms, or using the standard\nparallelepiped shape. For consistency, the parallelepiped is always used. Note\nthat despite using a parallelepiped, this is still called a hexagonal cell choice.\nSome lattices can be generated using a rhombohedral unit cell. Such space groups\nbegin with an ``R``, and always have trigonal symmetry. For these cases, we\nagain use the hexagonal cell.\n\nWhenever possible, PyXtal uses the same choices of unit cell as the Bilbao\nCrystallographic Server, which in turn uses the standard conventional cell.\nFor a complete list of the cell choices used by PyXtal, see the\n`Group Settings <html/Settings.html>`_ page.\n\nTypically, to describe coordinates within a crystal, we use what are called\n*fractional coordinates*. Fractional coordinates use the lattice vectors as the\nbasis, as opposed to *absolute coordinates*, which use Euclidean space as the\nbasis. This makes it easier to describe two similar structures that differ only\nin their lattice values. Unless otherwise specified, any listed coordinates are\nfractional coordinates.\n\n.. image:: ../images/fractional.png\n   :height: 351 px\n   :width: 481 px\n   :scale: 100 %\n   :alt: fractional vs absolute coordinates\n\nIt is important to note that when periodicity is present, multiple coordinates\ncan actually correspond to the same point, at least in notation. It is common\npractice to convert all coordintaes to lie within the range [0, 1) for periodic\naxes. So, for example, if we have a point at ``(1.4,-0.3,0.6)``, it will usually\nbe written as ``(0.4,0.7,0.6)``. This is because it is assumed that each unit\ncell is the same. In other words, an atom located at ``(1.4,-0.3,0.6)`` implies\nthat another atom is located at ``(0.4,0.7,0.6)``. So, it is more convenient to\nonly consider the unit cell which lies between ``(0,0,0)`` and ``(1,1,1)``.\n\nSymmetry Operations\n-------------------\n\nTranslations are just one kind of transformation operation. More generally, we\ncan perform any 3-dimensional transformation which preserves the lengths and\nangles between atoms. This means we can also apply rotations, reflections, and\ninversions, as well as any combination of these. Note that successive operations\ndo not generally commute. That is, the order of operations determines the final\noutcome.\n\nA symmetry operation is any transformation which leaves the original structure\nunchanged. In other words, if the structure looks the same before and after a\ntransformation, then that transformation is a symmetry operation of the object.\nThis includes the identity operation (doing nothing to the object), which means\nthat every object has at least a trivial symmetry.\n\nWe can artificially split a transformation into two parts: the rotational and\ninversional part (given by a 3x3 matrix), and the translational part (given by a\n3D vector, specifically a 3x1 column matrix). Often, we denote this as a\nmatrix-column pair ``(P,p)`` or ``(P|p)``, where the capital letter *P* represents\nthe rotation matrix, and the lowercase letter *p* represents the translation vector.\n\nWe can define the 3x3 rotation matrix by using 3 orthogonal unit vectors as the\ncolumns. The resulting matrix is orthogonal, meaning the determinant is either\n+1 or -1. If only a rotation is applied, then the determinant is +1, and if an\ninversion is applied, the determinant is -1. If an object has no symmetry\noperations with determinant -1, it is said to be **chiral**. In this case, the\nobject's mirror image is different from the original, and cannot be rotated to\nmatch its **twin**. This is especially important for molecules with biochemical\napplications, since the mirror molecule may have a different effect.\n\nNow, we can define how one operation is applied to another. We consider two\noperations: ``(P,p)`` and ``(Q,q)``. If we first apply ``(P,p)``, followed by\n``(Q,q)``, then we get a new operation, which we will call ``(R,r): (Q,q)(P,p) = (R,r)``.\nNote that we apply operations from the left. Then, the relationships are:\n\n``R = Q*P``\n\n``r = Q*p + q``\n\nwhere * denotes standard matrix multiplication. From this definition, we see that\nthe rotation is always applied first, followed by the translation. This rule\napplies for multiple operations as well; with 3 operations ``(R,r)(Q,q)(P,p)``,\nwe first apply ``(P,p)``, then ``(Q,q)``, then ``(R,r)``.\n\nAlternatively, the matrix-column pair can be **combined** into a single 4x4\nmatrix. We simply place the vector to the right of the rotation matrix, place\n0's on the bottom row, and place a 1 in the lower right-hand corner:\n\n.. image:: ../images/matrix4x4.png\n   :height: 343 px\n   :width: 828 px\n   :scale: 50%\n   :alt: fractional vs absolute coordinates\n\nThis matrix is called an ``affine transformation matrix``. With it, we can apply\noperations using a single matrix multiplication operation. Although this may\nseem like just a mathematical trick, the affine matrix notation highlights the\ngroup structure of the transformations, as it allows translations and rotations\nto be placed on equal footing. Furthermore, we can use the additional dimension\nto represent time: the '1' value can be thought of as a single step forward in\ntime, and thus we can define both rotational and translational reference frames\n(and equivalently, torques and forces) with a single 4x4 matrix. Objects which\nare (periodically) symmetric in time are called time crystals. Such objects have\nonly recently been synthesized in the lab, and there is likely more research to\nbe done. However, for most applications in crystallography, time is not a factor,\nand we consider only spatial symmetries.\n\nSometimes crystallographers express an affine transformation as a list of letters\nand numbers, separated by commas (for example, ``x,y,z``). In this notation, the\nfirst, second, and third positions denote what happens to the unit x, y, and z\naxes, respectively. So if we want to perform an inversion, we replace each axis\nwith its opposite. Then, ``x,y,z`` becomes ``-x,-y,-z``. So, you can use\n``-x,-y,-z`` to represent an inversion. Similarly, ``y,-x,z`` would represent a\n90 degree rotation about the z axis (using the right hand rule). You can also\nmap to a linear combination of axes, or add a constant value. So, you might see\nsomething like ``x-y,x,z+1/2``. Here, we just follow the same procedure: x, which\nis the vector (1,0,0) is mapped onto ``x-y``, which is the vector ``(1,-1,0)``.\n``y (0,1,0)`` is mapped onto ``x (1,0,0)``, and ``z (0,0,1)`` is mapped onto\n``z+1/2 (0,0,1)``, or in the 4x4 notation, ``(0,0,1,.5)``. To express the\naddition of a constant (in this case 1/2 for the z-axis), the right-hand side of\nthe 4x4 matrix is used. So, we would write ``x-y,x,z+1/2`` as:\n\n.. image:: ../images/affine_matrix.png\n   :height: 126 px\n   :width: 174 px\n   :scale: 100%\n   :alt: [[1,-1,0,0],[1,0,0,0],[0,0,1,0.5],[0,0,0,1]]\n\n\nNote that the mapped vectors are written as rows, NOT columns. So, ``x-y`` is\nwritten on the first row as ``(1,-1,0,0)``. Again, the bottom row is always\n``(0,0,0,1)``, so that matrix multiplication is preserved.\n\nGroups\n------\n\nSymmetry operations have several nice properties, and this allows certain sets\nof them to be classified as a mathematical object called a group. There are\nseveral simple and intuitive examples of groups, which we will discuss below.\nFormally, a group G is a set of mathematical objects (called elements) with 4\nproperties:\n\n1) There is a binary operation which maps any two elements in the set onto a\nthird element which is also in the set: ``A*B = C``. The operation must be\ndefined for every possible pair on the set, and must map onto an element which\nis inside of the set.\n\n2) There must be exactly one identity element ``I`` which maps every element of\nthe set onto itself: ``A*I = I*A = A`` for every A in G.\n\n3) Every element ``A`` must have an inverse ``A^-1``, such that multiplication\nby the inverse gives the identity: ``A*A^-1 = A^-1*A = I``.\n\n4) The operation * must be associative. That is, ``(A*B)*C = A*(B*C)``.\n\nNote that commutativity is not a requirement for groups, but associativity is.\nAnticommutativity has important implications for describing rotations and angular\nmomentum in 3 dimensions, which are beyond the scope of this study.\n\nOne of the simplest examples of a group is the additive group of real integers\n``(Z,+)``. Here, the set is that of the integers ``(-1, 0, 1, ...)``, and the\noperation is addition. Here, the inverse of a number is just its negative.\nFor example, the inverse of -2 is 2. One can easily verify that the 4 properties\nlisted above hold true for this group. Similarly, we can consider the additive\ngroup of real numbers ``(R,+)``, or the additive group of complex numbers ``(C,+)``.\n\nHowever, if we replace addition with multiplication, then we no longer have a\ngroup, because the element 0 does not have a multiplicitive inverse: any number\nmultiplied by 0 is 0, but any number divided by 0 is undefined. We can fix this\nby considering the multiplicative group of all numbers except for 0. Or,\nequivalently, we can consider the multiplicitave group exp(x), where x is any\ncomplex number. Then, the inverse is defined as exp(-x), and the identity\nelement is exp(0) = 1.\n\nInterestingly, the  real numbers are a subset of the complex numbers, and yet\nboth the complex numbers and the real numbers form groups in their own right.\nIn this case, we call the real numbers a subgroup of the complex numbers.\nLikewise, we call the complex numbers a supergroup of the real numbers. More\nspecifically, we say that the real numbers are a proper subgroup of the complex\nnumbers, because there are fewer real numbers than complex numbers. Likewise,\nthe complex numbers form a proper supergroup of the real numbers. So, a group is\nalways both a subgroup and a supergroup of itself, but is never a proper\nsubgroup or proper supergroup of itself.\n\nThese are so far all examples of infinite groups, since there are infinitely\nmany points on the number line. However, there also exist finite groups. For\nexample, consider the permutation group of 3 objects (we'll call them ``a``,\n``b``, and ``c``). Our group elements are:\n\n::\n\n    1: (a,b,c)\n    2: (a,c,b)\n    3: (b,a,c)\n    4: (b,c,a)\n    5: (c,a,b)\n    6: (c,b,a)\n\nAs you can see, there are only 6 elements in this group. Element (1) is the\nidentity, as it represents keeping ``a``, ``b``, and ``c`` in their original\norder. Element (2) represents swapping ``b`` and ``c``, element (3) represents\nswapping ``a`` and ``b``, and so on.\n\nIn general, we call the number of elements in a group the order of that group.\nIn the example above, the order is 6. If there are an infinite number of elements\nin a group (for example, the additive group of real numbers), we say the group\nhas infinite order. A group of order 1 is called a trivial group, because it has\nonly one element, and this must be the identity element. Furthermore, because\nevery group has an identity element, every group also contains a trivial group\nas a subgroup.\n\nSometimes, it is inconvenient to list every member of a group. Instead, it is\noften possible to list only a few elements, which can be used to determine, or\n**generate** the other elements. These chosen elements are called generators.\nFor example, consider elements (2) and (3) in the permutation group shown above.\nWe can define the remaining elements (1, 4, 5, and 6) starting with only (2) and\n(3) (with operations acting from the left):\n\n::\n\n    2 * 2 = 1 : (a,c,b) * (a,c,b) = (a,b,c)\n    2 * 3 = 4 : (a,c,b) * (b,a,c) = (b,c,a)\n    3 * 4 = 6 : (b,a,c) * (b,c,a) = (c,b,a)\n    6 * 2 = 5 : (c,b,a) * (a,c,b) = (c,a,b)\n\nThus, we say that (2) and (3) are generators of the group. Typically, there is\nnot a single **best** choice of generators for a group. We could just as easily\nhave chosen (2) and (6), or (4) and (3), or some other subset as our generators.\n\nSymmetry Groups\n---------------\n\nOne can verify that the four properties of groups listed above also hold for our\n4x4 transformation matrices. Thus the set of all 3D transformations (with 4x4\nmatrix multiplication as our operation) forms a group. Because of this, the tools\nof group theory become available.\n\nWhen we want to define the symmetry of an object, we specify the object's\nsymmetry group. A symmetry group is just the set of all of the object's symmetry\noperations (described above). It turns out, the set of all symmetry operations\nfor an object always forms a group. The group properties (2-4) hold because we\nare using 4x4 transformation matrices, which are already a group. Property (1)\nholds because a symmetry group is always a closed set. This is because performing\nany symmetry operations always brings us back to our original state, and\ntherefore combining multiple symmetry operations also brings us back to the\noriginal state. Thus, combinations of symmetry operations are themselves symmetry\noperations, and are therefore elements of the object's symmetry group.\n\nThe simplest 3D symmetry group is the trivial group (called \"1\"). This group has\nonly the identity transformation I, which means that it corresponds to a\ncompletely asymmetrical object. For such an object, there is no transformation\n(besides the identity) which brings the object back to its original state. Most\nmolecules have at least some rotational symmetry, and crystals always have at\nleast translational symmetry, so we will not encounter this group very often.\n\nOn the other hand, we can consider empty 3D space, which is perfectly symmetrical\n(note: this does not apply to actual empty space, which contain gravitational\nand quantum fields). The symmetry group of empty space includes not only\nrotations and translations, but also scaling and shearing, since **nothing** will\nalways be mapped back onto **nothing**.\n\n\nNote that only empty space, or other idealized objects (including some fractals)\ncan have scaling symmetry. For atomic structures, we will never encounter this.\nHowever, shear symmetry is possible for lattices. As an example, consider the\ndifferent choices for the primitive cell shown in the section above. These\ndifferent primitive cells can be mapped onto each other using shear\ntransformations. It is important to note that in general only simple lattices\nhave this shearing symmetry; if there are atoms inside of the lattice, they may\nnot map onto other atoms in the crystal.\n\nWe can also define symmetry groups for objects of arbitrary dimension. A simple\nexample is the equilateral triangle, which has a 3-fold rotational symmetry, as\nwell as 3 reflectional symmetries. A slightly more complex example is the regular\nhexagon, which has all of the symmetries of the triangle, but also 6-fold and\n2-fold rotational symmetry, and additional reflectional symmetries. Combining\nrotation and reflection, the hexagon also has the inversion symmetry:\n\n.. list-table::\n\n    * - .. figure:: ../images/triangle.png\n            :scale: 75% %\n            :figclass: align-center\n\n            triangular symmetry\n\n      - .. figure:: ../images/hexagon.png\n            :scale: 40% %\n            :figclass: align-center\n\n            hexagonal symmetry\n\n\n\n\nIt takes practice to develop an intuition for finding symmetries, but the results\ncan be very rewarding. Often, a symmetry can be utilized to lessen the work\nneeded to solve a problem, sometimes even reducing the problem to a trivial\nidentity. This is a core concept in mathematics and physics, and deserves reflection.\n\nPoint Groups\n~~~~~~~~~~~~\n\nIn order for an object to be translationally symmetric, it must be periodic along\none or more axes. This means that most objects (excluding crystals and certain\nidealized chain molecules) can only have rotational/inversional symmetry. A 3D\nsymmetry group without translational symmetry is called a point group. This is\nbecause the transformations leave at least one point of space unmoved. This\nincludes rotations, reflections, inversions, and combinations of the three. Note\nthat we can either use rotations and reflections, or rotations and inversions,\nto generate the remaining point transformations. In PyXtal and the documentation,\nwe use rotations and inversions as the basic transformations, meaning reflections\nare treated as rotoinversions.\n\nA point group can contain rotations, reflections, and possibly inversion. There\nare several conventions for naming point groups, but PyXtal uses the Schoenflies\nnotation. Here, point groups have one or two letters to describe the type(s) of\ntransformations present, and a number to describe the order. For detailed\ninformation, see the Wikipedia page. Below are a few examples of point groups\nfound in crystallography and chemistry.\n\n- :math:`H_2O`: point group C2v (2-fold rotation axis, and two mirror planes) [#]_\n- Hypothetical Pmmm crystal: point group mmm (3 mirror planes)\n- Buckminsterfullerene: point group Ih (Full icosahedral symmetry) [#]_\n\n.. list-table::\n\n    * - .. figure:: ../images/water_symmetry_1.gif\n            :height: 720 px\n            :width: 1024 px\n            :scale: 25%\n            :figclass: align-center\n\n            :math:`H_2O` molecule (``C2v``)\n\n      - .. figure:: ../images/Pmmm.png\n            :height: 720 px\n            :width: 1024 px\n            :scale: 25%\n            :figclass: align-center\n\n            Hypothetical crystal (``mmm``)\n\n      - .. figure:: ../images/Bucky.png\n            :height: 720 px\n            :width: 1024 px\n            :scale: 25%\n            :figclass: align-center\n\n            Buckminsterfullerene (``Ih``)\n\n\n\nSpace Groups\n~~~~~~~~~~~~\n\nFor crystals, we need to describe both the translational (lattice) and rotational\n(point group) symmetry. A 3D symmetry group containing both of these is called a\nspace group, and is one of the main tools used by crystallographers. We can\nseparate a space group into its point group and its lattice group. Thus, space\ngroups can be neatly divided into the seven different crystal classes.\nMathematically, the two different types of symmetry are connected; thus, certain\nkinds of translational symmetry (lattice types) can only have certain kinds of\nrotational symmetry (point groups). This is apparent from the names of the space\ngroups; certain symbols are only found in certain lattice systems. A list of\nspace groups and their symmetries is provided by the\n`Bilbao utility WYCKPOS <http://www.cryst.ehu.es/cryst/get_wp.html>`_. Note that\nfor space groups, we use the `Hermann-Mauguin (H-M) notation <https://en.wikipedia.org/wiki/Hermann%E2%80%93Mauguin_notation>`_.\nThis means a space group can be specified by a number between 1 and 230. However,\na space group symbol should always be provided, as the numbers are not used as\ncommonly. The numbers are more useful for computer applications like PyXtal or\nPymatgen, or in conjunction with references like the Bilbao server or the\nInternational Tables.\n\nTechnically speaking, two crystals with the same lattice type and point group,\nbut with different cell parameters, have different space groups. The space group\nis the set of all symmetry operations, and in this case the translational\nsymmetry operations would be different. But typically when someone says space\ngroup, they actually mean the set of all space groups with the same lattice type\nand point group. In this sense, we say that there are 230 different space groups.\nThis is the meaning of space group which we will use from now on, unless\notherwise specified. This is useful, since we don't need to define a new space\ngroup every time we shrink or stretch a crystal by some small amount.\n\nNot every rotational symmetry is compatible with a 3D lattice. Specifically, only\nrotations of order 2, 3, 4, or 6 are found in real crystals (Note: pseudo-crystals\nmay have different local symmetries, but lack long-range periodicity). As a result,\nonly 32 point groups are found as subgroups of space groups. These are called the\ncrystallographic point groups. So, by choosing such a point group, along with a\n**compatible lattice**, we define a space group. By **compatible lattice**, we\nmean any lattice which maps onto itself under the symmetry operations of the\nchosen point group. Because of this compatibility condition, the presence of a\nparticular symmetry can tell you what kind of lattice is present. For example, a\n6-fold rotation always belongs to a hexagonal lattice. A 3-fold rotation about\none of the primary axes belongs to a trigonal axis, whereas a 3-fold rotation\nabout the diagonal belongs to a cubic lattice. In this way, the lattice type can\nbe determined from the Hermann-Mauguin symbol.\n\nIn reality, a crystal is often distorted slightly from its ideal symmetrical\nstate. As a result, two researchers may label the same crystal with different\nspace groups. This phenomenon is called pseudosymmetry; it is when a crystal is\nclose to possessing a certain space group, but is only slightly off. This is a\nreal problem for computational crystallography, since numerical accuracy makes\ndetermining symmetry an imprecise business. For example, if an atom is located\nat ``(0,1/3,0)``, it will be encoded as something like ``(0,.33333,0)`` due to\nrounding. As a result, it will be slightly off from the expected location, and\nthe computer may not recognize the 3-fold symmetry. So, whenever you work with\ncrystal symmetry, it is a good idea to allow some numerical **tolerance**\n(roughly somewhere between ``.001`` and ``.03`` Angstroms), so as to correctly\nassess the symmetry. On the flip side, if a provided crystal is labeled as\nhaving P1 symmetry (which means no rotational symmetry was found), it is likely\nthat some symmetry is actually present, but was not found due to numerical issues.\n\nWyckoff Positions\n-----------------\n\nBecause symmetry operations can be thought of as making *copies* of parts of an\nobject, we can usually only describe part of a structure, and let symmetry\ngenerate the rest. This small part of the structure used to generate the rest is\ncalled the asymmetric unit. However, not all points in the asymmetric unit are\ngenerated the same. If an atom lies within certain regions - planes, lines, or\npoints - then the atom may not be \"copied\" as many times as other atoms within\nthe asymmetric unit. A familiar example is in the creation of a paper snowflake.\nWe start with a hexagon, then fold it into a single triangle 6 sheets thick.\nThen, if we cut out a mark somewhere in the middle of the triangle, the mark is\ncopied 6-fold. However, if we instead cut out a mark alonng the triangle's edge,\nor at the tip, the marks will only have 3 or 1 copies:\n\n.. image:: ../images/PaperSnowflake.png\n   :height: 256 px\n   :width: 256 px\n   :scale: 100%\n   :alt: Paper snowflake\n\nThese different regions are called Wyckoff positions, and the number of copies\nis called the multiplicity of the *Wyckoff position*. So, if an atom lies in a\nWyckoff position with multiplicity greater than 1, then that Wyckoff position\nactually corresponds to multiple atoms. However, thanks to symmetry, we can refer\nto all of the copies (for that particular atom) as a single Wyckoff position.\nThis makes describing a crystal much easier, since we no longer need to specify\nthe exact location of most of the atoms. Instead, we need only list the space\ngroup, the lattice, and the location and type of one atom from each Wyckoff\nposition. This is exactly how the cif file format encodes crystal data (more\ninfo below). Just keep in mind that in this format, a single atomic entry may\ncorrespond to multiple atoms in the unit cell.\n\nThe largest Wyckoff position, which makes a copy for every symmetry operation,\nis called the general Wyckoff position, or just the general position. In the\nsnowflake example, this was the large inner region of the triangle. In general,\nthe general position will consist of every location which does not lie along\nsome special symmetry axis, plane, or point. For this reason, the other Wyckoff\npositions are called the special Wyckoff positions.\n\nThe number and type of Wyckoff positions are different for every space group; a\nlist of them can be found using the\n`Bilbao utility WYCKPOS <http://www.cryst.ehu.es/cryst/get_wp.html>`_. In the\nutility, Wyckoff positions are described using the ``x,y,z`` notation, where\neach operation shows how the original ``(x,y,z)`` point is transformed/copied.\nIn other words, if we choose a single set of coordinates, then plugging these\ncoordinates into the Wyckoff position will generate the remaining coordinates.\nAs an example, consider the general position of space group ``P222 (#16)``,\nwhich consists of the points ``(x,y,z), (-x,-y,z), (-x,y,-z), and (x,-y,-z)``.\nIf we choose a random point, say ``(0.321,0.457,0.892)``, we can determine the\nremaining points:\n\n::\n\n    (x,y,z)->(0.321,0.457,0.892)\n    (-x,-y,z)->(0.679,0.543,0.892)\n    (-x,y,-z)->(0.679,0.457,0.108)\n    (x,-y,-z)->(0.321,0.543,0.108)\n\nHere a negative value is equal to 1 minus that value (-0.321 = 1 - 0.321 = 0.679).\n\nTo denote Wyckoff positions, a combination of number and letter is used. The\nnumber gives the multiplicity of the Wyckoff position, while the letter\ndifferentiates between positions with the same multiplicity. The letter 'a' is\nalways given to the smallest Wyckoff position (usually located at the origin or\nz axis), and the letter increases for positions with higher multiplicity. So,\nfor example, the space group ``I4mm (#107)`` has 5 different Wyckoff positions:\n``2a``, ``4b``, ``8c``, ``8d``, and ``16e``. Here, ``16e`` is the general\nposition, since it has the largest multiplicity and last letter alphabetically.\n\nNote that for space groups with non-simple lattices (those which begin with a\nletter other than 'P'), the Wyckoff positions also contain fractional translations.\nTake for example the space group ``I4mm (#107)``. The Bilbao entry can be found\nat the `url <http://www.cryst.ehu.es/cgi-bin/cryst/programs/nph-wp-list?gnum=107>`_.\nEach listed Wyckoff position coordinate has a copy which is translated by\n``(0.5,0.5,0.5)``. It is inconvenient to list each of these translated copies\nfor every Wyckoff position, so instead a note is placed at the top. This is why\nWyckoff position ``16e`` has only 8 points listed. In this case, to generate the\nfull crystal, one could apply the 8 operations listed, then make a copy of the\nresulting structure by translating it by the vector ``(0.5,0.5,0.5)``. Note that\nin space groups beginning with letters other than P, the smallest Wyckoff\nposition will never have a multiplicity of 1.\n\nIn addition to the generating operations, the site symmetry of each Wyckoff\nposition is listed. The site symmetry is just the point group which leaves the\nWyckoff position invariant. So, if a Wyckoff position consists of an axis, then\nthe site symmetry might be a rotation about that axis. The general position\nalways has site symmetry 1, since it corresponds to choosing any arbitrary\nstructure or location can be made symmetrical by copying it and applying all of\nthe operations in the space group.\n\nFinally, since crystals are infinitely periodic, a Wyckoff position refers not\nonly to the atoms inside a unit cell, but every periodic copy of those atoms in\nthe other unit cells. Thus, the Wyckoff position ``x,y,z`` is the same as the\nposition ``x+1,y+1,z``, and so on. This is usually a minor detail, but it must\nbe taken into account for certain computational tasks.\n\nMolecular Wyckoff Positions\n---------------------------\n\nIn most cases, it is assumed that the objects occupying Wyckoff positions will\nbe atoms. Because atoms are spherically symmetrical, they will always possess\nthe site symmetry associated with a given Wyckoff position. However, this is not\nalways the case for molecules, which have their own point group symmetry. Because\nof this, a given molecule may or may not fit into a given Wyckoff position,\ndepending on its symmetry and orientation.\n\nIn order for a molecule to fit within a Wyckoff position, its point group must\nbe a supergroup of the position's site symmetry. In other words, the molecule\nmust be at least as symmetrical as the region of the Wyckoff position itself\n(with reference to the operations of the space group as a whole). Furthermore,\nthe molecule must be oriented in such a way that its symmetry axes line up with\nthe symmetry axes of the Wyckoff position. As an example, consider a Wyckoff\nposition with site symmetry 2. This is an axis with 2-fold symmetry. Now consider\na water molecule lying on this axis. In order to truly occupy the Wyckoff\nposition, the water molecule's 2-fold axis must line up with the Wyckoff\nposition's (See the water molecule image above).\n\nFor larger site symmetry groups, it is more complicated to check if a molecule\nwill fit or not. The algorithm used by PyXtal for doing this is detailed in the\n`How PyXtal Works <Algorithm.html>`_ page.\n\n\nCrystal File Formats\n--------------------\n\nThere are two main file formats used for storing crystal structures: cif and\nPOSCAR. Each of these has standard definitions.\n`Here <https://www.iucr.org/resources/cif/spec/version1.1/cifsyntax>`_ is the\ncif file definition (given by the International Tables), and\n`here <https://cms.mpi.univie.ac.at/vasp/vasp/POSCAR_file.html>`_ is the POSCAR\nfile definition (given by Vasp).\n\nCif uses the space group symmetry to compress the data. The core information\nconsists of the space group, the lattice, and the location and type of a single\natom from each Wyckoff position. So, for high symmetry space groups, a cif file\ncan be much smaller than a POSCAR file. As with any type of compression, the cif\nfile has the downside that the program using it must be able to work with\nsymmetry operations. Specifically, each Wyckoff position's generating atom must\nbe copied using the symmetry operations, so that the entire unit cell can be known.\n\nIn contrast, a POSCAR file does not provide the symmetry information, but instead\nspecifies the type and location of every atom in the unit cell, including those\nwhich are symmetrical copies of each other. This results in a larger file, but\none that is easier to read, since no symmetry operations need to be applied. The\ndownside is that if one wishes to know the space group, it must either be\ncalculated, or given by some external source.\n\nEach format has advantages and disadvantages. A computational crystallographer\nshould be familiar with both, and understand the differences. If you provide a\nPOSCAR file for a structure, you should also provide the symmetry group.\nLikewise, if you provide a cif file, you should be certain that the symmetry\ninformation is correct, and that you are using the correct space group setting.\n\n.. [#] Images from https://en.wikipedia.org/wiki/Crystal_structure\n\n.. [#] Image from \"Molecular Orbitals for Water (H2O)\"http://www1.lsbu.ac.uk/php-cgiwrap/water/pfp.php3?page=http://www1.lsbu.ac.uk/water/h2o_orbitals.html)\n\n.. [#] Image from https://en.wikipedia.org/wiki/Buckminsterfullerene#/media/File:Buckminsterfullerene-perspective-3D-balls.png\n"
  },
  {
    "path": "doc/COMMAND_MODE.rst",
    "content": "Run PyXtal executables\n======================\n\nCurrently, we provide several utilities to the users so that they can run the\ncode from command line with Python scripting.\nThey include:\n\n- ``Pyxtal_main.py``: a tool to generate atomic/molecular crystals\n- ``Pyxtal_symmetry.py``: a tool to access the symmetry information\n\nAfter a successfull `installation <Installation.html>`_, all of them can be\naccessed by invoking the ``-h`` command:\n\n::\n\n    $ pyxtal_main.py -h\n                 ______       _    _          _\n                (_____ \\     \\ \\  / /        | |\n                 _____) )   _ \\ \\/ / |_  ____| |\n                |  ____/ | | | )  (|  _)/ _  | |\n                | |    | |_| |/ /\\ \\ |_( (_| | |___\n                |_|     \\__  /_/  \\_\\___)__|_|_____)\n                       (____/\n\n\n    ----------------------(version 0.1.4 )----------------------\n\n    A Python package for random crystal generation\n    The source code is available at https://github.com/MaterSim/pyxtal\n    Developed by Zhu's group at University of Nevada Las Vegas\n\n\n    usage: pyxtal_main.py [-h] [-s sg] [-e element] [-n numIons] [-f factor]\n                          [-a attempts] [-o outdir] [-d dimension] [-t thickness]\n                          [-m]\n\n    optional arguments:\n      -h, --help            show this help message and exit\n      -s sg, --symmetry sg  desired symmetry, number or string, e.g., 36, Pbca, Ih\n      -e element, --element element\n                            desired elements: e.g., Li\n      -n numIons, --numIons numIons/numMols\n                            desired numbers of atoms: 16\n      -f factor, --factor factor\n                            volume factor: default 1.0\n      -a attempts, --attempts attempts\n                            number of crystals to generate: default 1\n      -o outdir, --outdir outdir\n                            Directory for storing output cif files: default 'out'\n      -d dimension, --dimension dimension\n                            desired dimension: (3, 2, 1, 0): default 3\n      -t thickness, --thickness thickness\n                            Thickness of a 2D crystal, or area of a 1D crystal,\n                            None generates a value automatically: default None\n      -m, --molecular       molecular? default: False\n\n\n\nPyXtal_symmetry utility\n------------------------\n``PyXtal_symmetry.py`` is a utility to handle the generation of moelcular crystals.\n\n- `-d`, the dimension, e.g., ``3``, ``2``, ``1``, ``0``. The defult is ``3``.\n- `-s`: the target symmetry, either by *string* (e.g., ``Ih``, ``Pbca``) and *integer* (``61``).\n\n::\n\n    $ pyxtal_symmetry.py -s 36\n\n    -- Space group # 36 (Cmc2_1)--\n    8b site symm: 1\n      x, y, z\n      -x, -y, z+1/2\n      x, -y, z+1/2\n      -x, y, z\n      x+1/2, y+1/2, z\n      -x+1/2, -y+1/2, z+1/2\n      x+1/2, -y+1/2, z+1/2\n      -x+1/2, y+1/2, z\n    4a site symm: m..\n      0, y, z\n      0, -y, z+1/2\n      1/2, y+1/2, z\n      1/2, -y+1/2, z+1/2\n\n::\n\n    $ pyxtal_symmetry.py -s 20 -d 2\n\n    -- Layer group # 20 (p2_122)--\n    4d site symm: 1\n      x, y, z\n      x+1/2, -y, -z\n      -x+1/2, y, -z\n      -x, -y, z\n    2c site symm: .2.\n      1/4, y, 0\n      3/4, -y, 0\n    2b site symm: ..2\n      0, 1/2, z\n      1/2, 1/2, -z\n    2a site symm: ..2\n      0, 0, z\n      1/2, 0, -z\n\nif the ``-s`` tag is not given, it will output the list of all possible symmetry\ngroups for the given dimension.\n\n::\n\n    $ pyxtal_symmetry.py -d 3\n        space_group\n    1            P1\n    2           P-1\n    3            P2\n    4          P2_1\n    5            C2\n    6            Pm\n    7            Pc\n    8            Cm\n    9            Cc\n    10         P2/m\n    11       P2_1/m\n    12         C2/m\n    13         P2/c\n    14       P2_1/c\n    15         C2/c\n    16         P222\n    17       P222_1\n    18     P2_12_12\n    19   P2_12_12_1\n    20       C222_1\n    ...\n    ...\n    212       P4332\n    213      P4_132\n    214      I4_132\n    215       P-43m\n    216       F-43m\n    217       I-43m\n    218       P-43n\n    219       F-43c\n    220       I-43d\n    221       Pm-3m\n    222       Pn-3n\n    223       Pm-3n\n    224       Pn-3m\n    225       Fm-3m\n    226       Fm-3c\n    227       Fd-3m\n    228       Fd-3c\n    229       Im-3m\n    230       Ia-3d\n\nPyXtal_main utility\n--------------------\n``PyXtal_main.py`` is a utility to handle the generation of atomic crystals.\nTypically, four arguments are requried to describe the target structure:\n\n- `-d`, the dimension, e.g., ``3``, ``2``, ``1``, ``0``.\n- `-s`: the target symmetry (*space*, *layer*, *rod*, *point* group information), either by *string* (e.g., ``Ih``, ``Pbca``) and *integer* (``61``).\n- `-e`: the list of elements, e.g., ``Si``, ``Si, O``\n- `-n`: the number of atoms in the target primitive unit cell, e.g., ``12``, ``4, 8``. The size should be consistent with the ``-e`` tag.\n\nFor **group setting**, please refer to the `Group Setting page <Settings.html>`_.\n**To our knowledge, PyXtal is perhaps the only open source code which can handle\nthe crystal symmetry generation from 0 to 3 dimensional systems.**\nBelow we will introduce its capability in detail.\n\nA quick example of C60\n~~~~~~~~~~~~~~~~~~~~~~\n\nBelow is a quick example to generate a random ``C60`` clusters with icosahedral\n(``Ih``) symmetry.\n\n::\n\n    $ pyxtal_main.py -e C -n 60 -d 0 -s Ih\n\n    Symmetry requested: 56(Ih), generated: Ih\n    Output to out/C60.xyz\n\n\nAs described in the screen output, the run will generate a file called\n``out/C60.xyz`` which stores the structural information about C60.\nOne can thus visualize via different third-party packages. For instance,\nbelow is the output from `VESTA <https://jp-minerals.org/vesta/en/>`_.\n\n.. image:: ../images/C60.png\n   :height: 763 px\n   :width: 995 px\n   :scale: 25 %\n   :align: center\n\nNote that this is a random process. So each time the structure is different.\n\n\n3D crystals\n~~~~~~~~~~~~~~~~~~~~~~\nBy default, ``-d`` tag is 3, which means to generate 3D crystal. Below is a\nquick example to generate a diamond like crystals for carbon.\n\n::\n\n    $ pyxtal_main.py -e C -n 8 -s 227\n\n    Symmetry requested: 227(Fd-3m), generated: Fd-3m\n    Output to out/C8.cif\n\n\n.. image:: ../images/C8-diamond.png\n   :height: 763 px\n   :width: 763 px\n   :scale: 30 %\n   :align: center\n\nIt is important to note that we specified ``8`` for ``-n`` tag, which means 8\ncarbon atoms in the conventional unit cell.\n\n2D and 1D crystals\n~~~~~~~~~~~~~~~~~~~~~~\n2D and 1D crystals need one more argument to specify the confinement. For 2D\ncrystal, the ``thickness`` needs to be provided through ``-t`` tag in Angstrom.\nBelow is an example fo generating a 2D MoS2 crystal.\n\n::\n\n    $ pyxtal_main.py -e Mo,S -n 1,2 -s 77 -d 2 -t 2.4\n\n    Symmetry requested: 77(p6mm), generated: P6mm\n    Output to out/Mo1S2.cif\n\n\n.. image:: ../images/MoS2.png\n   :height: 763 px\n   :width: 1263 px\n   :scale: 30 %\n   :align: center\n\n\nMolecular crystals occupying general Wyckoff positions\n~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\nBelow is an example to generate of random crystal for a famous drug molecule ROY.\n\n::\n\n    $ pyxtal_main.py -m -e ROY -n 4 -s P2_12_12_1\n\n    Symmetry requested: 19 (P2_12_12_1), generated: P2_12_12_1, vol: 2895.37 A^3\n    Output to out/S4O8N12C48H36.cif\n\n.. image:: ../images/ROY.png\n   :height: 763 px\n   :width: 963 px\n   :scale: 30 %\n   :align: center\n\nMolecular crystals occupying special Wyckoff positions\n~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\nAn import feature of PyXtal is that the program can automatically generate\nmolecular crystals occupying special Wyckoff positions. This is very useful for\nmolecules with high internal symmetry. During crystallization, these molecule\ncan occupy some special Wyckoff positions as long as the site symmetry is\ncompatible with the molecular symmetry. For instance, the space group ``Cmc_21``\nhas 4 symmetry operations (``mm2``) in its primitive cell. However, we can still\ngenerate a structure with 2 molecules for C60 by placing them to the special\nWyckoff position. This will be automatically processed by our\n`internal algorithm <Algorithm.html#finding-valid-molecular-orientations>`_.\n\n::\n\n    $ pyxtal_main.py -m -e C60 -n 2 -s 36\n\n\n.. image:: ../images/C60-x.png\n   :height: 703 px\n   :width: 683 px\n   :scale: 50 %\n   :align: center\n\nHow to define the molecules?\n~~~~~~~~~~~~~~~~~~~~~~~~~~~~\nPlease ref to the section of `Molecule <Usage.html#molecule-in-pyxtal>`_.\n"
  },
  {
    "path": "doc/Installation.rst",
    "content": "Installation and Setup\n======================\n\nDependencies\n------------\n\nVersions indicated are those used during development. Other versions may be\ncompatible, but have not yet been tested.\n\n  * `SciPy 1.0.1 <https://www.scipy.org/install.html>`_\n  * `NumPy 1.14.3 <https://www.scipy.org/scipylib/download.html>`_\n  * `Pandas 0.20.3 <https://pandas.pydata.org/getpandas.html>`_\n  * `Pymatgen 2017.9.3 <http://pymatgen.org/#getting-pymatgen>`_\n  * `SpgLib for Python 1.9.9.44 <https://atztogo.github.io/spglib/python-spglib.html#installation>`_\n  * `Openbabel 2.4.1 <http://openbabel.org/wiki/Category:Installation>`_\n  * `Networkx 2.3 <https://networkx.github.io>`_\n\nOpenbabel is not necessary, and only adds additional file format support for\nimporting molecules. You must install the C++ pacakge before installing the\nPython bindings. For Debian based systems, your distribution may already have\ninstallable packages:\n\n::\n\n    $ sudo apt-get install openbabel\n    $ pip install openbabel\n\nAlso note that the openbabel Python bindings require swig to install:\n\n::\n\n    $ sudo apt-get install swig\n\nOlder version of swig (before 2.0) will not work. For other systems, you must\ncompile the openbabel Python bindings yourself. There are tutorials for this on\nthe `openbabel website\n<https://openbabel.org/docs/dev/UseTheLibrary/PythonInstall.html>`_, as well as\nin the `pymatgen documentation\n<http://pymatgen.org/installation.html#openbabel-mac-os-x-tested-on-v2-3-2>`_.\n\nInstallation\n------------\n\nTo install PxXtal, one can simply type\n\n::\n\n    $ pip install pyxtal\n\nor make a copy of the source code, and then install it manually.\n\n::\n\n    $ git clone https://github.com/MaterSim/pyxtal\n    $ cd pyxtal\n    $ pip install .\n\n\nor update the code to our developing version\n\n::\n\n    $ pip install --upgrade git+https://github.com/MaterSim/PyXtal.git@master\n\n\nThis will install the module. You can check the installation of the code by a\nsimple test run as follows,\n\n::\n\n    $ pyxtal_test.py\n\nYou expect to see the following output.\n\n::\n\n                ______       _    _          _\n                (_____ \\     \\ \\  / /        | |\n                 _____) )   _ \\ \\/ / |_  ____| |\n                |  ____/ | | | )  (|  _)/ _  | |\n                | |    | |_| |/ /\\ \\ |_( ( | | |___\n                |_|     \\__  /_/  \\_\\___)_||_|_(___\n                       (____/\n\n\n    ----------------------(version 0.0.1 )----------------------\n\n    A Python package for random crystal generation\n    The source code is available at https://github.com/MaterSim/pyxtal\n    Developed by Zhu's group at University of Nevada Las Vegas\n\n\n    ====== Testing functionality for pyXtal version 0.1dev ======\n    Importing sys...\n    Success!\n    Importing numpy...\n    Success!\n    Importing pymatgen...\n    Success!\n    Importing pandas...\n    Success!\n    ...\n    ...\n    \t223\t|\t223\t|\t223\t|\t1.12 s ~\n    \t224\t|\t224\t|\t224\t|\t0.30 s\n    \t225\t|\t225\t|\t225\t|\t0.54 s\n    \t226\t|\t226\t|\t226\t|\t0.45 s\n    \t227\t|\t227\t|\t227\t|\t0.47 s\n    \t228\t|\t228\t|\t228\t|\t1.42 s ~\n    \t229\t|\t229\t|\t229\t|\t0.19 s\n    \t230\t|\t230\t|\t230\t|\t0.18 s\n    TEST COMPLETE\n\n    Total time elapsed: 34.15 s\n\nMore extensive test can be invoked by running\n\n::\n\n    $ pyxtal_test.py -m all\n\nIdeally, one should see the completion of all modules in the end.\n"
  },
  {
    "path": "doc/Makefile",
    "content": "# Minimal makefile for Sphinx documentation\n#\n\n# You can set these variables from the command line.\nSPHINXOPTS    =\nSPHINXBUILD   = sphinx-build\nSPHINXPROJ    = PyXtal\nSOURCEDIR     = .\nBUILDDIR      = _build\n\n# Put it first so that \"make\" without argument is like \"make help\".\nhelp:\n\t@$(SPHINXBUILD) -M help \"$(SOURCEDIR)\" \"$(BUILDDIR)\" $(SPHINXOPTS) $(O)\n\n.PHONY: help Makefile\n\n# Catch-all target: route all unknown targets to Sphinx using the new\n# \"make mode\" option.  $(O) is meant as a shortcut for $(SPHINXOPTS).\n%: Makefile\n\t@$(SPHINXBUILD) -M $@ \"$(SOURCEDIR)\" \"$(BUILDDIR)\" $(SPHINXOPTS) $(O)"
  },
  {
    "path": "doc/README.txt",
    "content": "This is the documentation folder for PyXtal. We use Sphinx to automatically generate documentation.\n\nThe following command will update the rst files to include any new python files:\n`sphinx-apidoc -o . ../pyxtal -e -M -f`\nOnce the rst files are satisfactory, or if no new Python files have been added/deleted, you can build the html by running:\n`make html`\nThe html files will be output to /doc/_build/html .\n"
  },
  {
    "path": "doc/Settings.rst",
    "content": "Group Settings\n==============\n\nFor the output 3D structures, PyXtal uses the conventional standard cell (same\nas `Bilbao <http://www.cryst.ehu.es/cgi-bin/cryst/programs/nph-def-choice>`_).\nBelow are the links for each set.\n\n- `Space group <http://www.cryst.ehu.es/cgi-bin/cryst/programs/nph-table>`_\n- `Layer group <http://www.cryst.ehu.es/cgi-bin/subperiodic/programs/nph-sub_gen?subtype=layer&from=table>`_\n- `Rod group <http://www.cryst.ehu.es/cgi-bin/subperiodic/programs/nph-sub_gen?subtype=rod&from=table>`_\n\nOne can conveniently access the list of crystallographic point groups, 1D\nrod, 2D layer groups and 3D space groups by changing the ``dim`` flag.\n\n.. code-block:: Python\n\n    >>> from pyxtal.symmetry import Group\n    >>> g=Group.list_groups(dim=0)\n    point_group\n    1           C1\n    2           Ci\n    3           C2\n    ...\n    56          Ih\n    57          C*\n    58         C*h\n\nSpace Group\n-----------\n\nBy default, pyxtal follows the standard according to the Volume A of\nInternational Tables for Crystallography.\nThey are defined as: unique axis b setting,\ncell choice 1 for monoclinic groups, hexagonal axes setting for rhombohedral\ngroups, and origin choice 2 (origin in -1) for the centrosymmetric groups listed\nwith respect to two origins. The relation between the standard space group\nand hall numbers are shown as follows,\n\n.. code-block:: Python\n\n\tpyxtal_hall_numbers = [\n\t1,   2,   3,   6,   9,   18,  21,  30,  39,  57,  60,  63,  72,  81,  90,\n\t108, 109, 112, 115, 116, 119, 122, 123, 124, 125, 128, 134, 137, 143, 149,\n\t155, 161, 164, 170, 173, 176, 182, 185, 191, 197, 203, 209, 212, 215, 218,\n\t221, 227, 229, 230, 234, 239, 245, 251, 257, 263, 266, 269, 275, 279, 284,\n\t290, 292, 298, 304, 310, 313, 316, 323, 334, 336, 337, 338, 341, 343, 349,\n\t350, 351, 352, 353, 354, 355, 356, 357, 358, 360, 362, 363, 365, 366, 367,\n\t368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 382,\n\t383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 397,\n\t398, 399, 400, 401, 403, 405, 406, 407, 409, 411, 412, 413, 415, 417, 418,\n\t419, 421, 423, 424, 425, 427, 429, 430, 431, 432, 433, 435, 436, 438, 439,\n\t440, 441, 442, 443, 444, 446, 447, 448, 449, 450, 452, 454, 455, 456, 457,\n\t458, 460, 462, 463, 464, 465, 466, 467, 468, 469, 470, 471, 472, 473, 474,\n\t475, 476, 477, 478, 479, 480, 481, 482, 483, 484, 485, 486, 487, 488, 489,\n\t490, 491, 492, 493, 494, 496, 497, 499, 500, 501, 502, 503, 504, 505, 506,\n\t507, 508, 509, 510, 511, 512, 513, 514, 515, 516, 517, 519, 520, 522, 523,\n\t524, 526, 528, 529, 530]\n\n\nHowever, in some programs like Spglib, when converting from space group to Hall\nnumbers, the first description of the space-group type in International Tables\nfor Crystallography) is chosen. In this case, the Hall number ``525`` (instead\nof ``526``) will be chosen for the space group ``227``.\n\n.. code-block:: Python\n\n\tspglib_hall_numbers = [\n\t1,   2,   3,   6,   9,   18,  21,  30,  39,  57,  60,  63,  72,  81,  90,\n\t108, 109, 112, 115, 116, 119, 122, 123, 124, 125, 128, 134, 137, 143, 149,\n\t155, 161, 164, 170, 173, 176, 182, 185, 191, 197, 203, 209, 212, 215, 218,\n\t221, 227, 228, 230, 233, 239, 245, 251, 257, 263, 266, 269, 275, 278, 284,\n\t290, 292, 298, 304, 310, 313, 316, 322, 334, 335, 337, 338, 341, 343, 349,\n\t350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 361, 363, 364, 366, 367,\n\t368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 382,\n\t383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 397,\n\t398, 399, 400, 401, 402, 404, 406, 407, 408, 410, 412, 413, 414, 416, 418,\n\t419, 420, 422, 424, 425, 426, 428, 430, 431, 432, 433, 435, 436, 438, 439,\n\t440, 441, 442, 443, 444, 446, 447, 448, 449, 450, 452, 454, 455, 456, 457,\n\t458, 460, 462, 463, 464, 465, 466, 467, 468, 469, 470, 471, 472, 473, 474,\n\t475, 476, 477, 478, 479, 480, 481, 482, 483, 484, 485, 486, 487, 488, 489,\n\t490, 491, 492, 493, 494, 495, 497, 498, 500, 501, 502, 503, 504, 505, 506,\n\t507, 508, 509, 510, 511, 512, 513, 514, 515, 516, 517, 518, 520, 521, 523,\n\t524, 525, 527, 529, 530]\n\n\nLayer Group\n-----------\n\nFor 2D structures, we use unique axis c for monoclinic layer groups 3-7, and\nunique axis a for layer groups 8-18. When two origin choices are available,\nwe use origin choice 1. We always choose c as the non-periodic axis.\n\nRod Group\n---------\n\nFor 1D structures, we use unique axis a for monoclinic Rod groups 3-7, and\nunique axis c for Rod groups 8-12. When two settings are available for a group,\nwe use the 1st setting. We always choose c as the periodic axis.\n\n\nPoint Group\n-----------\n\nFor point group structures, we use unique axis c for all groups except the\npolyhedral groups ``T, Th, O, Td, Oh, I, and Ih``. For all of these groups,\nwe place the 2-fold rotation about the z axis and a 3-fold rotation about the\n(x,x,x) axis. For ``I`` and ``Ih``, we use a 5-fold rotation about the axis (1,\n:math:`\\tau`, 0), where :math:`\\tau` is the golden ratio 1.618.\n\nAll supported point groups, listed by number:\n\n+------------+------------+-----------+-----------+\n| 1: C1      | 2: Ci      | 3: C2     | 4: Cs     |\n+------------+------------+-----------+-----------+\n| 5: C2h     | 6: D2      | 7: C2v    | 8: D2h    |\n+------------+------------+-----------+-----------+\n| 9: C4      | 10: S4     | 11: C4h   | 12: D4    |\n+------------+------------+-----------+-----------+\n| 13: C4v    | 14: D2d    | 15: D4h   | 16: C3    |\n+------------+------------+-----------+-----------+\n| 17: C3i    | 18: D3     | 19: C3v   | 20: D3d   |\n+------------+------------+-----------+-----------+\n| 21: C6     | 22: C3h    | 23: C6h   | 24: D6    |\n+------------+------------+-----------+-----------+\n| 25: C6v    | 26: D3h    | 27: D6h   | 28: T     |\n+------------+------------+-----------+-----------+\n| 29: Th     | 30: O      | 31: Td    | 32: Oh    |\n+------------+------------+-----------+-----------+\n| 33: C5     | 34: C7     | 35: C8    | 36: D5    |\n+------------+------------+-----------+-----------+\n| 37: D7     | 38: D8     | 39: C5v   | 40: C7v   |\n+------------+------------+-----------+-----------+\n| 41: C8v    | 42: C5h    | 43: D5h   | 44: D7h   |\n+------------+------------+-----------+-----------+\n| 45: D8h    | 46: D4d    | 47: D5d   | 48: D6d   |\n+------------+------------+-----------+-----------+\n| 49: D7d    | 50: D8d    | 51: S6    | 52: S8    |\n+------------+------------+-----------+-----------+\n| 53: S10    | 54: S12    | 55: I     | 56: Ih    |\n+------------+------------+-----------+-----------+\n| 57: C*     | 58: C*h    |           |           |\n+------------+------------+-----------+-----------+\n\nIn addition to the 32 crystallographic point group , we add the following finite\nnon-crystallographic point groups:\n\n``Cn, Cnh, Cnv, Sn, Cni, Dn, Dnh, Dnd.``\n\nwhere n should be replaced by an integer. I and Ih, which are the icosahedral\nand full icosahedral groups, are particularly useful (Buckminsterfullerene,\nfor example has point group symmetry ``Ih``). Finally, the infinite rotational\nand dihedral point groups ``C*`` and ``C*h`` can be used for generating linear\nstructures. ``C*h`` will have mirror symmetry, while ``C*`` will not.\n"
  },
  {
    "path": "doc/Symmetry_representation.rst",
    "content": "Symmetry Representation\n=======================\n\nSpace Group Symmetry\n--------------------\nIn crystallography, the Hermann-Mauguin notation is used to represent the symmetry of a crystal structure. Using this notation, the symmetry of a crystal structure can be described by a space group symbol, which is a combination of letters and numbers that represent the symmetry operations that can be applied to the structure. A full Hermann-Mauguin notation can be broken down into four parts:\n\n1. A single letter (``P, A, B, C, I, R``) indicating the type of lattice\n2. A symbol denoting the symmetry for the primary direction.\n3. A symbol denoting the symmetry for the secondary direction.\n4. A symbol denoting the symmetry for the tertiary direction. \n\n.. list-table:: Symmetry definitions in the Hermann-Mauguin notation.\n  :header-rows: 1\n  :widths: 7 7 7 7 30\n  :align: left \n\n  * - System\n    - Primary  \n    - Secondary\n    - Tertiary\n    - Possible Symmetry Elements\n  * - Triclinic\n    - —\n    - —\n    - —\n    - 1, -1.\n  * - Monoclinic\n    - [010]\n    - —\n    - —\n    - 2, 2₁, m, c, 2/m, 2/c, 2₁/c.\n  * - Orthorhombic\n    - [100]\n    - [010]\n    - [001]\n    - 2, 2₁, m, a, b, c, n, d.\n  * - Tetragonal\n    - [001]\n    - [100]/[010]\n    - [110]/[101]/...\n    - 4ₙ(/m) @ [001].\n  * - Tri/Hexagonal\n    - [001]\n    - [100]/[010]\n    - [110]/[101]/..\n    - 3ₙ/6ₙ, -3, -6 @ [001]\n  * - Cubic\n    - [100]/...\n    - [111]/[1̄11]/...\n    - [110]/[101]/...\n    - 4ₙ @ [100], 3ₙ @ [111], 2ₙ @ [110]\n\n\nFor example, the space group 227 has a symbol of ``Fd-3m`` or ``F 4₁/d -3 2/m`` in the full Hermann-Mauguin notation. This means it has \n\n1. a face centered unit cell\n2. a ``4₁/d`` (including ``1, -1, 2₁, d, 4₁, -4``) symmetry in the [100] family direction.\n3. a ``-3`` (including ``1, -1, 3``) symmetry in the [111] family directions.\n4. a ``2/m`` (including ``1, -1, 2, m``) symmetry in the [110] family directions.\n\nIn most cases, the short Hermann-Mauguin notation is used to describe the symmetry of a crystal structure. For the case of ``F 4₁/d -3 2/m``, it can be simplified to ``Fd-3m`` by removing the redundant information due to the following reasons:\n\n- ``4₁/d`` is reduced to ``d`` since the primary direction must have the 4-fold, \n- ``2/m`` is reduced to ``m`` since the tertiary direction must have the 2-fold symmetry. \n\nSimilarly, the space group 61 ``P 2₁/b 2₁/c 2₁/a`` can be simplified to ``Pbca`` since the ``2₁`` must be present in that particular setting. However, the full Hermann-Mauguin notation is more informative and can be used to describe the symmetry of a crystal structure in more detail.\n\nBelow shows the symmetry element analysis of the space group ``Fd-3m`` on the 15 high symmetry crystallographic axes.\n\n.. list-table:: Symmetry analysis of space group 227 (Fd-3m)\n    :widths: 10 20 30 20\n    :header-rows: 1\n\n    * - Index \n      - Direction\n      - Symmetry elements\n      - Symbol  \n    * - 0\n      - (1, 0, 0)\n      - 1, -1, 2₁, d, 4₁, -4\n      - 4₁/d\n    * - 1\n      - (0, 1, 0)\n      - 1, -1, 2₁, d, 4₁, -4\n      - 4₁/d\n    * - 2\n      - (0, 0, 1)\n      - 1, -1, 2₁, d, 4₁, -4\n      - 4₁/d\n    * - 3\n      - (1, 1, 1)\n      - 1, -1, 3\n      - -3\n    * - 4\n      - (1, -1, -1)\n      - 1, -1, 3\n      - -3\n    * - 5\n      - (-1, 1, -1)\n      - 1, -1, 3\n      - -3\n    * - 6\n      - (-1, -1, 1)\n      - 1, -1, 3\n      - -3\n    * - 7\n      - (1, -1, 0)\n      - 1, -1, 2, m\n      - 2/m\n    * - 8\n      - (1, 1, 0)\n      - 1, -1, 2, d\n      - 2/d\n    * - 9\n      - (0, 1, -1)\n      - 1, -1, 2, m\n      - 2/m\n    * - 10\n      - (0, 1, 1)\n      - 1, -1, 2, d\n      - 2/d\n    * - 11\n      - (-1, 0, 1)\n      - 1, -1, 2, m\n      - 2/m\n    * - 12\n      - (1, 0, 1)\n      - 1, -1, 2, d\n      - 2/d\n    * - 13\n      - (1, -2, 0)\n      - 1, -1\n      - -1\n    * - 14\n      - (2, -1, 0)\n      - 1, -1\n      - -1\n\n\nOne can easily verify this via PyXtal as follows.\n\n.. code-block:: python\n\n    from pyxtal.symmetry import Group\n    spg = Group(227)\n    ss = spg.get_spg_symmetry_object()\n    ss.to_beautiful_matrix_representation(skip=False)\n\n>>> Order Axis   1  -1 2  2_1 m  a  b  c  n  d  3  3_1 3_2 4  4_1 4_2 4_3 -4   \n  0 ( 1  0  0):  1  1  0  1   0  0  0  0  0  1  0  0   0   0  1   0   0   1  # 4_1/d\n  0 ( 0  1  0):  1  1  0  1   0  0  0  0  0  1  0  0   0   0  1   0   0   1  # 4_1/d\n  0 ( 0  0  1):  1  1  0  1   0  0  0  0  0  1  0  0   0   0  1   0   0   1  # 4_1/d\n  1 ( 1  1  1):  1  1  0  0   0  0  0  0  0  0  1  0   0   0  0   0   0   0  # -3\n  1 ( 1 -1 -1):  1  1  0  0   0  0  0  0  0  0  1  0   0   0  0   0   0   0  # -3\n  1 (-1  1 -1):  1  1  0  0   0  0  0  0  0  0  1  0   0   0  0   0   0   0  # -3\n  1 (-1 -1  1):  1  1  0  0   0  0  0  0  0  0  1  0   0   0  0   0   0   0  # -3\n  2 ( 1 -1  0):  1  1  1  0   1  0  0  0  0  0  0  0   0   0  0   0   0   0  # 2/m\n  2 ( 1  1  0):  1  1  1  0   1  0  0  0  0  0  0  0   0   0  0   0   0   0  # 2/m\n  2 ( 0  1 -1):  1  1  1  0   1  0  0  0  0  0  0  0   0   0  0   0   0   0  # 2/m\n  2 ( 0  1  1):  1  1  1  0   1  0  0  0  0  0  0  0   0   0  0   0   0   0  # 2/m\n  2 (-1  0  1):  1  1  1  0   1  0  0  0  0  0  0  0   0   0  0   0   0   0  # 2/m\n  2 ( 1  0  1):  1  1  1  0   1  0  0  0  0  0  0  0   0   0  0   0   0   0  # 2/m\n\nIn the above output, we use a 1D 18-length array to represent the symmetry elements (``1, -1, 2, 2₁, m, a, b, c, n, d, 3, 3₁, 3₂, 4, 4₁, 4₂, 4₃, -4``). \n\nSpace Group Symmetry's Digital Representation\n---------------------------------------------\n\nFor the application of deep learning, the space group symmetry can be represented as a **14 lattice indices** + **15x18 matrix**. \n\nFor the lattice index, we divde it into 16 possible cases (0-15) as shown below:\n\n.. list-table::\n    :widths: 15 35\n    :header-rows: 1\n\n    * - ID\n      - Lattice Type\n    * - 0 \n      - Triclinic Primitive\n    * - 1\n      - Monoclinic Primitive \n    * - 2\n      - Monoclinic C-Base Centered\n    * - 3\n      - Orthorhombic Primitive\n    * - 4\n      - Orthorhombic A-base Centered\n    * - 5\n      - Orthorhombic B-base Centered\n    * - 6\n      - Orthorhombic C-base Centered\n    * - 7\n      - Orthorhombic Body Centered\n    * - 8\n      - Orthorhombic Face Centered\n    * - 9\n      - Tetragonal Primitive\n    * - 10\n      - Tetragonal Body Centered\n    * - 11\n      - Hexagonal Primitive\n    * - 12\n      - Hexagonal Rhombehedral \n    * - 13\n      - Cubic Primitive\n    * - 14\n      - Cubic Body Centered\n    * - 15\n      - Cubic Face Centered\n\nFor the matrix, the rows represent 15 directions, including\n\n    .. list-table::\n        :widths: 15 35\n        :header-rows: 1\n\n        * - Index\n          - Direction\n        * - 0\n          - (1, 0, 0)\n        * - 1\n          - (0, 1, 0)\n        * - 2\n          - (0, 0, 1)\n        * - 3\n          - (1, 1, 1)\n        * - 4\n          - (1, -1, -1)\n        * - 5\n          - (-1, 1, -1)\n        * - 6\n          - (-1, -1, 1)\n        * - 7\n          - (1, -1, 0)\n        * - 8\n          - (1, 1, 0)\n        * - 9\n          - (0, 1, -1)\n        * - 10\n          - (0, 1, 1)\n        * - 11\n          - (-1, 0, 1)\n        * - 12\n          - (1, 0, 1)\n        * - 13\n          - (1, 2, 0)\n        * - 14\n          - (2, 1, 0)\n\n\nAnt the columns represent 18 symmetry elements. The value of each element in the matrix indicates the presence (1) or absence (0) of a symmetry operation. There exist a total of 48 combinational symmetries, \n\n.. list-table:: \n    :widths: 10 20 10\n    :header-rows: 1\n\n    * - Index\n      - Symmetry elements  \n      - Symbol\n    * - 0\n      - 1\n      - 1\n    * - 1  \n      - 1, -1\n      - ̄1\n    * - 2\n      - 1, 2\n      - 2\n    * - 3\n      - 1, 2₁\n      - 2₁\n    * - 4\n      - 1, m\n      - m\n    * - 5\n      - 1, a\n      - a\n    * - 6\n      - 1, b\n      - b\n    * - 7\n      - 1, c\n      - c\n    * - 8\n      - 1, n\n      - n\n    * - 9\n      - 1, d\n      - d\n    * - 10\n      - 1, 3\n      - 3\n    * - 11\n      - 1, 3₁\n      - 3₁\n    * - 12\n      - 1, 3₂\n      - 3₂\n    * - 13\n      - 1, -1, 2, m\n      - 2/m\n    * - 14\n      - 1, -1, 2, a\n      - 2/a\n    * - 15\n      - 1, -1, 2, b\n      - 2/b\n    * - 16\n      - 1, -1, 2, c\n      - 2/c\n    * - 17\n      - 1, -1, 2, n\n      - 2/n\n    * - 18\n      - 1, -1, 2, d\n      - 2/d\n    * - 19\n      - 1, -1, 2₁, m\n      - 2₁/m\n    * - 20\n      - 1, -1, 2₁, a\n      - 2₁/a\n    * - 21\n      - 1, -1, 2₁, b\n      - 2₁/b\n    * - 22\n      - 1, -1, 2₁, c\n      - 2₁/c\n    * - 23\n      - 1, -1, 2₁, n\n      - 2₁/n\n    * - 24\n      - 1, -1, 2₁, d\n      - 2₁/d\n    * - 25\n      - 1, 2, 4\n      - 4\n    * - 26\n      - 1, 2₁, 4₁\n      - 4₁\n    * - 27\n      - 1, 2, 4₂\n      - 4₂\n    * - 28\n      - 1, 2₁, 4₃\n      - 4₃\n    * - 29\n      - 1, 2, -4\n      - -4\n    * - 30\n      - 1, -1, 3\n      - -3\n    * - 31\n      - 1, 2, 3\n      - 6\n    * - 32\n      - 1, 2₁, 3₁\n      - 6₁\n    * - 33\n      - 1, 2₁, 3₂\n      - 6₅\n    * - 34\n      - 1, 2, 3₂\n      - 6₂\n    * - 35\n      - 1, 2, 3₁\n      - 6₄\n    * - 36\n      - 1, 2₁, 3\n      - 6₃\n    * - 37\n      - 1, m, 3\n      - -6\n    * - 38\n      - 1, -1, 2, m, 4, -4\n      - 4/m\n    * - 39\n      - 1, -1, 2, n, 4, -4\n      - 4/n\n    * - 40\n      - 1, -1, 2₁, a, 4₁, -4\n      - 4₁/a\n    * - 41\n      - 1, -1, 2₁, b, 4₁, -4\n      - 4₁/b\n    * - 42\n      - 1, -1, 2₁, c, 4₁, -4\n      - 4₁/c\n    * - 43\n      - 1, -1, 2₁, d, 4₁, -4\n      - 4₁/d\n    * - 44\n      - 1, -1, 2, m, 4₂, -4\n      - 4₂/m\n    * - 45\n      - 1, -1, 2, m, 4₂, -4\n      - 4₂/n\n    * - 46\n      - 1, -1, 2, m, 3\n      - 6/m\n    * - 47\n      - 1, -1, 2₁, m, 3\n      - 6₃/m\n\n\nIn PyXtal, this representation can be easily obtained via the ``get_spg_representation()`` method. The first element of the output is the lattice index, and the second element is a 15x48 matrix representing the symmetry elements.\n\n.. code-block:: Python\n\n    from pyxtal.symmetry import Group\n    spg = Group(227)\n    id, matrix = spg.get_spg_representation() \n    print(id)\n    print(matrix)\n\n    >>> 13 # lattice id\n    >>> # one-hot encoding of 15*48 matrix to represent the space group Fd-3m\n    [[0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0]\n    [0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0]\n    [0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0]\n    [0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0]\n    [0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0]\n    [0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0]\n    [0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0]\n    [0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0]\n    [0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0]\n    [0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0]\n    [0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0]\n    [0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0]\n    [0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0]\n    [0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0]\n    [0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0]])\n \n\n\nWyckoff Site Symmetry\n---------------------\nFor each space group, the Wyckoff positions are defined by the symmetry of the site. The Wyckoff positions are labeled with a letter and a number, where the letter indicates the type of site and the number indicates the multiplicity of that site. Below, we show the Wyckoff site symmetry for the space group 227 (``Fd-3m``) as an example. \n\n.. code-block:: python\n\n    from pyxtal.symmetry import Group\n    spg = Group(227)\n    print(spg)\n    wp = spg[-1]   # Get the last Wyckoff position 8a\n    ss.to_beautiful_matrix_representation() # List symmetry elements\n\n>>> -- Spacegroup --# 227 (Fd-3m)--\n192i  site symm: 1\n96h\t  site symm: ..2\n96g\t  site symm: ..m\n48f\t  site symm: 2.mm\n32e\t  site symm: .3m\n16d\t  site symm: .-3m\n16c\t  site symm: .-3m\n8b\t  site symm: -43m\n8a\t  site symm: -43m\n  \n>>> Order Axis     1    -1   2    m    3    4    -4   -3   6    -6   \n  0 ( 1  0  0):    1    0    1    0    0    0    1    0    0    0     -4\n  0 ( 0  1  0):    1    0    1    0    0    0    1    0    0    0     -4\n  0 ( 0  0  1):    1    0    1    0    0    0    1    0    0    0     -4\n  1 ( 1  1  1):    1    0    0    0    1    0    0    0    0    0      3\n  1 ( 1 -1 -1):    1    0    0    0    1    0    0    0    0    0      3\n  1 (-1  1 -1):    1    0    0    0    1    0    0    0    0    0      3\n  1 (-1 -1  1):    1    0    0    0    1    0    0    0    0    0      3\n  2 ( 1 -1  0):    1    0    0    1    0    0    0    0    0    0      m\n  2 ( 1  1  0):    1    0    0    1    0    0    0    0    0    0      m\n  2 ( 0  1 -1):    1    0    0    1    0    0    0    0    0    0      m\n  2 ( 0  1  1):    1    0    0    1    0    0    0    0    0    0      m\n  2 (-1  0  1):    1    0    0    1    0    0    0    0    0    0      m\n  2 ( 1  0  1):    1    0    0    1    0    0    0    0    0    0      m\n\nIn space group 227, the Wyckoff position ``8a`` indicates that there are 8 equivalent sites in the unit cell, with a site symmetry of ``-43m``. Unlike the Hermann-Mauguin notation, the site symmetry does not count the translation symmetry. Hence, it does not include the screw axis (e.g., ``2₁, 3₁, 4₁, 6₁``) or glide plane symmetry (``a, b, c, n, d``). There are 7 fundamental point group symmetries (``1, -1, 2, m, 3, 4, 6, -6``) and 5 additional compound group symmetries (``-3, 6, 2/m, 4/m, 6/m``). For ``8a`` in space group 227, its site symmetry ``-43m`` includes\n\n1. 4-fold rotation axis (``-4``) @ [100] family directions,\n2. 3-fold rotation axis (``3``) @ [111] family directions,\n3. 2-fold rotation axis (``m``) @ [110] family directions.\n\nSite Symmetry's Digital Representation\n---------------------------------------------\n\nFor the application of deep learning, the Wyckoff site symmetry can be represented as a 15x7 matrix, where the rows and columns represent the symmetry elements. The value of each element in the matrix indicates the presence or absence of a symmetry operation. For example, a value of 1 indicates that the symmetry operation is present, while a value of 0 indicates that it is absent. Given that there exist a total of 13 site symmetries (``1, -1, 2, m, 3, 4, 6, -6, -3, 6, 2/m, 4/m, 6/m``), it can be further converted to an one-hot encoding format of (15x13) matrix via PyXtal as follows:\n\n.. code-block:: python\n\n    from pyxtal.symmetry import Group\n    spg = Group(227)\n    rep = wp.get_site_symmetry_object().to_one_hot()\n\n>>> # one-hot encoding of the 8a site symmetry of space group 227\n[[1 0 0 0 0 0 0 0 0 0 0 0 0]\n [1 0 0 0 0 0 0 0 0 0 0 0 0]\n [1 0 0 0 0 0 0 0 0 0 0 0 0]\n [0 1 0 0 0 0 0 0 0 0 0 0 0]\n [0 1 0 0 0 0 0 0 0 0 0 0 0]\n [0 1 0 0 0 0 0 0 0 0 0 0 0]\n [0 1 0 0 0 0 0 0 0 0 0 0 0]\n [0 0 1 0 0 0 0 0 0 0 0 0 0]\n [0 0 1 0 0 0 0 0 0 0 0 0 0]\n [0 0 1 0 0 0 0 0 0 0 0 0 0]\n [0 0 1 0 0 0 0 0 0 0 0 0 0]\n [0 0 1 0 0 0 0 0 0 0 0 0 0]\n [0 0 1 0 0 0 0 0 0 0 0 0 0]\n [1 0 0 0 0 0 0 0 0 0 0 0 0]\n [1 0 0 0 0 0 0 0 0 0 0 0 0]]\n\n\nComplete list of Wyckoff Site Symmetry Table\n--------------------------------------------\n\nUsing PyXtal, you can easily access the Wyckoff site symmetry for all 230 space groups as follows:\n\n.. code-block:: python\n\n    from pyxtal.symmetry import Group\n    for g in range(1, 231):\n        spg = Group(g)\n        for wp in spg:\n            wp.get_site_symmetry()\n            print(spg.number, spg.symbol, wp.get_label(), wp.site_symm)\n\nThe following table lists the space group number, symbol, Wyckoff label, and site symmetry for all 230 space groups.\n\n.. list-table::\n   :header-rows: 1\n   :widths: 10 20 10 20\n\n   * - Space Group Number\n     - Space Group Symbol\n     - Wyckoff Label\n     - Site Symmetry\n   * - 1\n     - P1\n     - 1a\n     - 1\n   * - 2\n     - P-1\n     - 2i\n     - 1\n   * - 2\n     - P-1\n     - 1h\n     - -1\n   * - 2\n     - P-1\n     - 1g\n     - -1\n   * - 2\n     - P-1\n     - 1f\n     - -1\n   * - 2\n     - P-1\n     - 1e\n     - -1\n   * - 2\n     - P-1\n     - 1d\n     - -1\n   * - 2\n     - P-1\n     - 1c\n     - -1\n   * - 2\n     - P-1\n     - 1b\n     - -1\n   * - 2\n     - P-1\n     - 1a\n     - -1\n   * - 3\n     - P2\n     - 2e\n     - 1\n   * - 3\n     - P2\n     - 1d\n     - 2\n   * - 3\n     - P2\n     - 1c\n     - 2\n   * - 3\n     - P2\n     - 1b\n     - 2\n   * - 3\n     - P2\n     - 1a\n     - 2\n   * - 4\n     - P21\n     - 2a\n     - 1\n   * - 5\n     - C2\n     - 4c\n     - 1\n   * - 5\n     - C2\n     - 2b\n     - 2\n   * - 5\n     - C2\n     - 2a\n     - 2\n   * - 6\n     - Pm\n     - 2c\n     - 1\n   * - 6\n     - Pm\n     - 1b\n     - m\n   * - 6\n     - Pm\n     - 1a\n     - m\n   * - 7\n     - Pc\n     - 2a\n     - 1\n   * - 8\n     - Cm\n     - 4b\n     - 1\n   * - 8\n     - Cm\n     - 2a\n     - m\n   * - 9\n     - Cc\n     - 4a\n     - 1\n   * - 10\n     - P2/m\n     - 4o\n     - 1\n   * - 10\n     - P2/m\n     - 2n\n     - m\n   * - 10\n     - P2/m\n     - 2m\n     - m\n   * - 10\n     - P2/m\n     - 2l\n     - 2\n   * - 10\n     - P2/m\n     - 2k\n     - 2\n   * - 10\n     - P2/m\n     - 2j\n     - 2\n   * - 10\n     - P2/m\n     - 2i\n     - 2\n   * - 10\n     - P2/m\n     - 1h\n     - 2/m\n   * - 10\n     - P2/m\n     - 1g\n     - 2/m\n   * - 10\n     - P2/m\n     - 1f\n     - 2/m\n   * - 10\n     - P2/m\n     - 1e\n     - 2/m\n   * - 10\n     - P2/m\n     - 1d\n     - 2/m\n   * - 10\n     - P2/m\n     - 1c\n     - 2/m\n   * - 10\n     - P2/m\n     - 1b\n     - 2/m\n   * - 10\n     - P2/m\n     - 1a\n     - 2/m\n   * - 11\n     - P21/m\n     - 4f\n     - 1\n   * - 11\n     - P21/m\n     - 2e\n     - m\n   * - 11\n     - P21/m\n     - 2d\n     - -1\n   * - 11\n     - P21/m\n     - 2c\n     - -1\n   * - 11\n     - P21/m\n     - 2b\n     - -1\n   * - 11\n     - P21/m\n     - 2a\n     - -1\n   * - 12\n     - C2/m\n     - 8j\n     - 1\n   * - 12\n     - C2/m\n     - 4i\n     - m\n   * - 12\n     - C2/m\n     - 4h\n     - 2\n   * - 12\n     - C2/m\n     - 4g\n     - 2\n   * - 12\n     - C2/m\n     - 4f\n     - -1\n   * - 12\n     - C2/m\n     - 4e\n     - -1\n   * - 12\n     - C2/m\n     - 2d\n     - 2/m\n   * - 12\n     - C2/m\n     - 2c\n     - 2/m\n   * - 12\n     - C2/m\n     - 2b\n     - 2/m\n   * - 12\n     - C2/m\n     - 2a\n     - 2/m\n   * - 13\n     - P2/c\n     - 4g\n     - 1\n   * - 13\n     - P2/c\n     - 2f\n     - 2\n   * - 13\n     - P2/c\n     - 2e\n     - 2\n   * - 13\n     - P2/c\n     - 2d\n     - -1\n   * - 13\n     - P2/c\n     - 2c\n     - -1\n   * - 13\n     - P2/c\n     - 2b\n     - -1\n   * - 13\n     - P2/c\n     - 2a\n     - -1\n   * - 14\n     - P21/c\n     - 4e\n     - 1\n   * - 14\n     - P21/c\n     - 2d\n     - -1\n   * - 14\n     - P21/c\n     - 2c\n     - -1\n   * - 14\n     - P21/c\n     - 2b\n     - -1\n   * - 14\n     - P21/c\n     - 2a\n     - -1\n   * - 15\n     - C2/c\n     - 8f\n     - 1\n   * - 15\n     - C2/c\n     - 4e\n     - 2\n   * - 15\n     - C2/c\n     - 4d\n     - -1\n   * - 15\n     - C2/c\n     - 4c\n     - -1\n   * - 15\n     - C2/c\n     - 4b\n     - -1\n   * - 15\n     - C2/c\n     - 4a\n     - -1\n   * - 16\n     - P222\n     - 4u\n     - 1\n   * - 16\n     - P222\n     - 2t\n     - ..2\n   * - 16\n     - P222\n     - 2s\n     - ..2\n   * - 16\n     - P222\n     - 2r\n     - ..2\n   * - 16\n     - P222\n     - 2q\n     - ..2\n   * - 16\n     - P222\n     - 2p\n     - .2.\n   * - 16\n     - P222\n     - 2o\n     - .2.\n   * - 16\n     - P222\n     - 2n\n     - .2.\n   * - 16\n     - P222\n     - 2m\n     - .2.\n   * - 16\n     - P222\n     - 2l\n     - 2..\n   * - 16\n     - P222\n     - 2k\n     - 2..\n   * - 16\n     - P222\n     - 2j\n     - 2..\n   * - 16\n     - P222\n     - 2i\n     - 2..\n   * - 16\n     - P222\n     - 1h\n     - 222\n   * - 16\n     - P222\n     - 1g\n     - 222\n   * - 16\n     - P222\n     - 1f\n     - 222\n   * - 16\n     - P222\n     - 1e\n     - 222\n   * - 16\n     - P222\n     - 1d\n     - 222\n   * - 16\n     - P222\n     - 1c\n     - 222\n   * - 16\n     - P222\n     - 1b\n     - 222\n   * - 16\n     - P222\n     - 1a\n     - 222\n   * - 17\n     - P2221\n     - 4e\n     - 1\n   * - 17\n     - P2221\n     - 2d\n     - .2.\n   * - 17\n     - P2221\n     - 2c\n     - .2.\n   * - 17\n     - P2221\n     - 2b\n     - 2..\n   * - 17\n     - P2221\n     - 2a\n     - 2..\n   * - 18\n     - P21212\n     - 4c\n     - 1\n   * - 18\n     - P21212\n     - 2b\n     - ..2\n   * - 18\n     - P21212\n     - 2a\n     - ..2\n   * - 19\n     - P212121\n     - 4a\n     - 1\n   * - 20\n     - C2221\n     - 8c\n     - 1\n   * - 20\n     - C2221\n     - 4b\n     - .2.\n   * - 20\n     - C2221\n     - 4a\n     - 2..\n   * - 21\n     - C222\n     - 8l\n     - 1\n   * - 21\n     - C222\n     - 4k\n     - ..2\n   * - 21\n     - C222\n     - 4j\n     - ..2\n   * - 21\n     - C222\n     - 4i\n     - ..2\n   * - 21\n     - C222\n     - 4h\n     - .2.\n   * - 21\n     - C222\n     - 4g\n     - .2.\n   * - 21\n     - C222\n     - 4f\n     - 2..\n   * - 21\n     - C222\n     - 4e\n     - 2..\n   * - 21\n     - C222\n     - 2d\n     - 222\n   * - 21\n     - C222\n     - 2c\n     - 222\n   * - 21\n     - C222\n     - 2b\n     - 222\n   * - 21\n     - C222\n     - 2a\n     - 222\n   * - 22\n     - F222\n     - 16k\n     - 1\n   * - 22\n     - F222\n     - 8j\n     - 2..\n   * - 22\n     - F222\n     - 8i\n     - .2.\n   * - 22\n     - F222\n     - 8h\n     - ..2\n   * - 22\n     - F222\n     - 8g\n     - ..2\n   * - 22\n     - F222\n     - 8f\n     - .2.\n   * - 22\n     - F222\n     - 8e\n     - 2..\n   * - 22\n     - F222\n     - 4d\n     - 222\n   * - 22\n     - F222\n     - 4c\n     - 222\n   * - 22\n     - F222\n     - 4b\n     - 222\n   * - 22\n     - F222\n     - 4a\n     - 222\n   * - 23\n     - I222\n     - 8k\n     - 1\n   * - 23\n     - I222\n     - 4j\n     - ..2\n   * - 23\n     - I222\n     - 4i\n     - ..2\n   * - 23\n     - I222\n     - 4h\n     - .2.\n   * - 23\n     - I222\n     - 4g\n     - .2.\n   * - 23\n     - I222\n     - 4f\n     - 2..\n   * - 23\n     - I222\n     - 4e\n     - 2..\n   * - 23\n     - I222\n     - 2d\n     - 222\n   * - 23\n     - I222\n     - 2c\n     - 222\n   * - 23\n     - I222\n     - 2b\n     - 222\n   * - 23\n     - I222\n     - 2a\n     - 222\n   * - 24\n     - I212121\n     - 8d\n     - 1\n   * - 24\n     - I212121\n     - 4c\n     - ..2\n   * - 24\n     - I212121\n     - 4b\n     - .2.\n   * - 24\n     - I212121\n     - 4a\n     - 2..\n   * - 25\n     - Pmm2\n     - 4i\n     - 1\n   * - 25\n     - Pmm2\n     - 2h\n     - m..\n   * - 25\n     - Pmm2\n     - 2g\n     - m..\n   * - 25\n     - Pmm2\n     - 2f\n     - .m.\n   * - 25\n     - Pmm2\n     - 2e\n     - .m.\n   * - 25\n     - Pmm2\n     - 1d\n     - mm2\n   * - 25\n     - Pmm2\n     - 1c\n     - mm2\n   * - 25\n     - Pmm2\n     - 1b\n     - mm2\n   * - 25\n     - Pmm2\n     - 1a\n     - mm2\n   * - 26\n     - Pmc21\n     - 4c\n     - 1\n   * - 26\n     - Pmc21\n     - 2b\n     - m..\n   * - 26\n     - Pmc21\n     - 2a\n     - m..\n   * - 27\n     - Pcc2\n     - 4e\n     - 1\n   * - 27\n     - Pcc2\n     - 2d\n     - ..2\n   * - 27\n     - Pcc2\n     - 2c\n     - ..2\n   * - 27\n     - Pcc2\n     - 2b\n     - ..2\n   * - 27\n     - Pcc2\n     - 2a\n     - ..2\n   * - 28\n     - Pma2\n     - 4d\n     - 1\n   * - 28\n     - Pma2\n     - 2c\n     - m..\n   * - 28\n     - Pma2\n     - 2b\n     - ..2\n   * - 28\n     - Pma2\n     - 2a\n     - ..2\n   * - 29\n     - Pca21\n     - 4a\n     - 1\n   * - 30\n     - Pnc2\n     - 4c\n     - 1\n   * - 30\n     - Pnc2\n     - 2b\n     - ..2\n   * - 30\n     - Pnc2\n     - 2a\n     - ..2\n   * - 31\n     - Pmn21\n     - 4b\n     - 1\n   * - 31\n     - Pmn21\n     - 2a\n     - m..\n   * - 32\n     - Pba2\n     - 4c\n     - 1\n   * - 32\n     - Pba2\n     - 2b\n     - ..2\n   * - 32\n     - Pba2\n     - 2a\n     - ..2\n   * - 33\n     - Pna21\n     - 4a\n     - 1\n   * - 34\n     - Pnn2\n     - 4c\n     - 1\n   * - 34\n     - Pnn2\n     - 2b\n     - ..2\n   * - 34\n     - Pnn2\n     - 2a\n     - ..2\n   * - 35\n     - Cmm2\n     - 8f\n     - 1\n   * - 35\n     - Cmm2\n     - 4e\n     - m..\n   * - 35\n     - Cmm2\n     - 4d\n     - .m.\n   * - 35\n     - Cmm2\n     - 4c\n     - ..2\n   * - 35\n     - Cmm2\n     - 2b\n     - mm2\n   * - 35\n     - Cmm2\n     - 2a\n     - mm2\n   * - 36\n     - Cmc21\n     - 8b\n     - 1\n   * - 36\n     - Cmc21\n     - 4a\n     - m..\n   * - 37\n     - Ccc2\n     - 8d\n     - 1\n   * - 37\n     - Ccc2\n     - 4c\n     - ..2\n   * - 37\n     - Ccc2\n     - 4b\n     - ..2\n   * - 37\n     - Ccc2\n     - 4a\n     - ..2\n   * - 38\n     - Amm2\n     - 8f\n     - 1\n   * - 38\n     - Amm2\n     - 4e\n     - m..\n   * - 38\n     - Amm2\n     - 4d\n     - m..\n   * - 38\n     - Amm2\n     - 4c\n     - .m.\n   * - 38\n     - Amm2\n     - 2b\n     - mm2\n   * - 38\n     - Amm2\n     - 2a\n     - mm2\n   * - 39\n     - Aem2\n     - 8d\n     - 1\n   * - 39\n     - Aem2\n     - 4c\n     - .m.\n   * - 39\n     - Aem2\n     - 4b\n     - ..2\n   * - 39\n     - Aem2\n     - 4a\n     - ..2\n   * - 40\n     - Ama2\n     - 8c\n     - 1\n   * - 40\n     - Ama2\n     - 4b\n     - m..\n   * - 40\n     - Ama2\n     - 4a\n     - ..2\n   * - 41\n     - Aea2\n     - 8b\n     - 1\n   * - 41\n     - Aea2\n     - 4a\n     - ..2\n   * - 42\n     - Fmm2\n     - 16e\n     - 1\n   * - 42\n     - Fmm2\n     - 8d\n     - .m.\n   * - 42\n     - Fmm2\n     - 8c\n     - m..\n   * - 42\n     - Fmm2\n     - 8b\n     - ..2\n   * - 42\n     - Fmm2\n     - 4a\n     - mm2\n   * - 43\n     - Fdd2\n     - 16b\n     - 1\n   * - 43\n     - Fdd2\n     - 8a\n     - ..2\n   * - 44\n     - Imm2\n     - 8e\n     - 1\n   * - 44\n     - Imm2\n     - 4d\n     - m..\n   * - 44\n     - Imm2\n     - 4c\n     - .m.\n   * - 44\n     - Imm2\n     - 2b\n     - mm2\n   * - 44\n     - Imm2\n     - 2a\n     - mm2\n   * - 45\n     - Iba2\n     - 8c\n     - 1\n   * - 45\n     - Iba2\n     - 4b\n     - ..2\n   * - 45\n     - Iba2\n     - 4a\n     - ..2\n   * - 46\n     - Ima2\n     - 8c\n     - 1\n   * - 46\n     - Ima2\n     - 4b\n     - m..\n   * - 46\n     - Ima2\n     - 4a\n     - ..2\n   * - 47\n     - Pmmm\n     - 8A\n     - 1\n   * - 47\n     - Pmmm\n     - 4z\n     - ..m\n   * - 47\n     - Pmmm\n     - 4y\n     - ..m\n   * - 47\n     - Pmmm\n     - 4x\n     - .m.\n   * - 47\n     - Pmmm\n     - 4w\n     - .m.\n   * - 47\n     - Pmmm\n     - 4v\n     - m..\n   * - 47\n     - Pmmm\n     - 4u\n     - m..\n   * - 47\n     - Pmmm\n     - 2t\n     - mm2\n   * - 47\n     - Pmmm\n     - 2s\n     - mm2\n   * - 47\n     - Pmmm\n     - 2r\n     - mm2\n   * - 47\n     - Pmmm\n     - 2q\n     - mm2\n   * - 47\n     - Pmmm\n     - 2p\n     - m2m\n   * - 47\n     - Pmmm\n     - 2o\n     - m2m\n   * - 47\n     - Pmmm\n     - 2n\n     - m2m\n   * - 47\n     - Pmmm\n     - 2m\n     - m2m\n   * - 47\n     - Pmmm\n     - 2l\n     - 2mm\n   * - 47\n     - Pmmm\n     - 2k\n     - 2mm\n   * - 47\n     - Pmmm\n     - 2j\n     - 2mm\n   * - 47\n     - Pmmm\n     - 2i\n     - 2mm\n   * - 47\n     - Pmmm\n     - 1h\n     - mmm\n   * - 47\n     - Pmmm\n     - 1g\n     - mmm\n   * - 47\n     - Pmmm\n     - 1f\n     - mmm\n   * - 47\n     - Pmmm\n     - 1e\n     - mmm\n   * - 47\n     - Pmmm\n     - 1d\n     - mmm\n   * - 47\n     - Pmmm\n     - 1c\n     - mmm\n   * - 47\n     - Pmmm\n     - 1b\n     - mmm\n   * - 47\n     - Pmmm\n     - 1a\n     - mmm\n   * - 48\n     - Pnnn\n     - 8m\n     - 1\n   * - 48\n     - Pnnn\n     - 4l\n     - ..2\n   * - 48\n     - Pnnn\n     - 4k\n     - ..2\n   * - 48\n     - Pnnn\n     - 4j\n     - .2.\n   * - 48\n     - Pnnn\n     - 4i\n     - .2.\n   * - 48\n     - Pnnn\n     - 4h\n     - 2..\n   * - 48\n     - Pnnn\n     - 4g\n     - 2..\n   * - 48\n     - Pnnn\n     - 4f\n     - -1\n   * - 48\n     - Pnnn\n     - 4e\n     - -1\n   * - 48\n     - Pnnn\n     - 2d\n     - 222\n   * - 48\n     - Pnnn\n     - 2c\n     - 222\n   * - 48\n     - Pnnn\n     - 2b\n     - 222\n   * - 48\n     - Pnnn\n     - 2a\n     - 222\n   * - 49\n     - Pccm\n     - 8r\n     - 1\n   * - 49\n     - Pccm\n     - 4q\n     - ..m\n   * - 49\n     - Pccm\n     - 4p\n     - ..2\n   * - 49\n     - Pccm\n     - 4o\n     - ..2\n   * - 49\n     - Pccm\n     - 4n\n     - ..2\n   * - 49\n     - Pccm\n     - 4m\n     - ..2\n   * - 49\n     - Pccm\n     - 4l\n     - .2.\n   * - 49\n     - Pccm\n     - 4k\n     - .2.\n   * - 49\n     - Pccm\n     - 4j\n     - 2..\n   * - 49\n     - Pccm\n     - 4i\n     - 2..\n   * - 49\n     - Pccm\n     - 2h\n     - 222\n   * - 49\n     - Pccm\n     - 2g\n     - 222\n   * - 49\n     - Pccm\n     - 2f\n     - 222\n   * - 49\n     - Pccm\n     - 2e\n     - 222\n   * - 49\n     - Pccm\n     - 2d\n     - ..2/m\n   * - 49\n     - Pccm\n     - 2c\n     - ..2/m\n   * - 49\n     - Pccm\n     - 2b\n     - ..2/m\n   * - 49\n     - Pccm\n     - 2a\n     - ..2/m\n   * - 50\n     - Pban\n     - 8m\n     - 1\n   * - 50\n     - Pban\n     - 4l\n     - ..2\n   * - 50\n     - Pban\n     - 4k\n     - ..2\n   * - 50\n     - Pban\n     - 4j\n     - .2.\n   * - 50\n     - Pban\n     - 4i\n     - .2.\n   * - 50\n     - Pban\n     - 4h\n     - 2..\n   * - 50\n     - Pban\n     - 4g\n     - 2..\n   * - 50\n     - Pban\n     - 4f\n     - -1\n   * - 50\n     - Pban\n     - 4e\n     - -1\n   * - 50\n     - Pban\n     - 2d\n     - 222\n   * - 50\n     - Pban\n     - 2c\n     - 222\n   * - 50\n     - Pban\n     - 2b\n     - 222\n   * - 50\n     - Pban\n     - 2a\n     - 222\n   * - 51\n     - Pmma\n     - 8l\n     - 1\n   * - 51\n     - Pmma\n     - 4k\n     - m..\n   * - 51\n     - Pmma\n     - 4j\n     - .m.\n   * - 51\n     - Pmma\n     - 4i\n     - .m.\n   * - 51\n     - Pmma\n     - 4h\n     - .2.\n   * - 51\n     - Pmma\n     - 4g\n     - .2.\n   * - 51\n     - Pmma\n     - 2f\n     - mm2\n   * - 51\n     - Pmma\n     - 2e\n     - mm2\n   * - 51\n     - Pmma\n     - 2d\n     - .2/m.\n   * - 51\n     - Pmma\n     - 2c\n     - .2/m.\n   * - 51\n     - Pmma\n     - 2b\n     - .2/m.\n   * - 51\n     - Pmma\n     - 2a\n     - .2/m.\n   * - 52\n     - Pnna\n     - 8e\n     - 1\n   * - 52\n     - Pnna\n     - 4d\n     - 2..\n   * - 52\n     - Pnna\n     - 4c\n     - ..2\n   * - 52\n     - Pnna\n     - 4b\n     - -1\n   * - 52\n     - Pnna\n     - 4a\n     - -1\n   * - 53\n     - Pmna\n     - 8i\n     - 1\n   * - 53\n     - Pmna\n     - 4h\n     - m..\n   * - 53\n     - Pmna\n     - 4g\n     - .2.\n   * - 53\n     - Pmna\n     - 4f\n     - 2..\n   * - 53\n     - Pmna\n     - 4e\n     - 2..\n   * - 53\n     - Pmna\n     - 2d\n     - 2/m..\n   * - 53\n     - Pmna\n     - 2c\n     - 2/m..\n   * - 53\n     - Pmna\n     - 2b\n     - 2/m..\n   * - 53\n     - Pmna\n     - 2a\n     - 2/m..\n   * - 54\n     - Pcca\n     - 8f\n     - 1\n   * - 54\n     - Pcca\n     - 4e\n     - ..2\n   * - 54\n     - Pcca\n     - 4d\n     - ..2\n   * - 54\n     - Pcca\n     - 4c\n     - .2.\n   * - 54\n     - Pcca\n     - 4b\n     - -1\n   * - 54\n     - Pcca\n     - 4a\n     - -1\n   * - 55\n     - Pbam\n     - 8i\n     - 1\n   * - 55\n     - Pbam\n     - 4h\n     - ..m\n   * - 55\n     - Pbam\n     - 4g\n     - ..m\n   * - 55\n     - Pbam\n     - 4f\n     - ..2\n   * - 55\n     - Pbam\n     - 4e\n     - ..2\n   * - 55\n     - Pbam\n     - 2d\n     - ..2/m\n   * - 55\n     - Pbam\n     - 2c\n     - ..2/m\n   * - 55\n     - Pbam\n     - 2b\n     - ..2/m\n   * - 55\n     - Pbam\n     - 2a\n     - ..2/m\n   * - 56\n     - Pccn\n     - 8e\n     - 1\n   * - 56\n     - Pccn\n     - 4d\n     - ..2\n   * - 56\n     - Pccn\n     - 4c\n     - ..2\n   * - 56\n     - Pccn\n     - 4b\n     - -1\n   * - 56\n     - Pccn\n     - 4a\n     - -1\n   * - 57\n     - Pbcm\n     - 8e\n     - 1\n   * - 57\n     - Pbcm\n     - 4d\n     - ..m\n   * - 57\n     - Pbcm\n     - 4c\n     - 2..\n   * - 57\n     - Pbcm\n     - 4b\n     - -1\n   * - 57\n     - Pbcm\n     - 4a\n     - -1\n   * - 58\n     - Pnnm\n     - 8h\n     - 1\n   * - 58\n     - Pnnm\n     - 4g\n     - ..m\n   * - 58\n     - Pnnm\n     - 4f\n     - ..2\n   * - 58\n     - Pnnm\n     - 4e\n     - ..2\n   * - 58\n     - Pnnm\n     - 2d\n     - ..2/m\n   * - 58\n     - Pnnm\n     - 2c\n     - ..2/m\n   * - 58\n     - Pnnm\n     - 2b\n     - ..2/m\n   * - 58\n     - Pnnm\n     - 2a\n     - ..2/m\n   * - 59\n     - Pmmn\n     - 8g\n     - 1\n   * - 59\n     - Pmmn\n     - 4f\n     - .m.\n   * - 59\n     - Pmmn\n     - 4e\n     - m..\n   * - 59\n     - Pmmn\n     - 4d\n     - -1\n   * - 59\n     - Pmmn\n     - 4c\n     - -1\n   * - 59\n     - Pmmn\n     - 2b\n     - mm2\n   * - 59\n     - Pmmn\n     - 2a\n     - mm2\n   * - 60\n     - Pbcn\n     - 8d\n     - 1\n   * - 60\n     - Pbcn\n     - 4c\n     - .2.\n   * - 60\n     - Pbcn\n     - 4b\n     - -1\n   * - 60\n     - Pbcn\n     - 4a\n     - -1\n   * - 61\n     - Pbca\n     - 8c\n     - 1\n   * - 61\n     - Pbca\n     - 4b\n     - -1\n   * - 61\n     - Pbca\n     - 4a\n     - -1\n   * - 62\n     - Pnma\n     - 8d\n     - 1\n   * - 62\n     - Pnma\n     - 4c\n     - .m.\n   * - 62\n     - Pnma\n     - 4b\n     - -1\n   * - 62\n     - Pnma\n     - 4a\n     - -1\n   * - 63\n     - Cmcm\n     - 16h\n     - 1\n   * - 63\n     - Cmcm\n     - 8g\n     - ..m\n   * - 63\n     - Cmcm\n     - 8f\n     - m..\n   * - 63\n     - Cmcm\n     - 8e\n     - 2..\n   * - 63\n     - Cmcm\n     - 8d\n     - -1\n   * - 63\n     - Cmcm\n     - 4c\n     - m2m\n   * - 63\n     - Cmcm\n     - 4b\n     - 2/m..\n   * - 63\n     - Cmcm\n     - 4a\n     - 2/m..\n   * - 64\n     - Cmce\n     - 16g\n     - 1\n   * - 64\n     - Cmce\n     - 8f\n     - m..\n   * - 64\n     - Cmce\n     - 8e\n     - .2.\n   * - 64\n     - Cmce\n     - 8d\n     - 2..\n   * - 64\n     - Cmce\n     - 8c\n     - -1\n   * - 64\n     - Cmce\n     - 4b\n     - 2/m..\n   * - 64\n     - Cmce\n     - 4a\n     - 2/m..\n   * - 65\n     - Cmmm\n     - 16r\n     - 1\n   * - 65\n     - Cmmm\n     - 8q\n     - ..m\n   * - 65\n     - Cmmm\n     - 8p\n     - ..m\n   * - 65\n     - Cmmm\n     - 8o\n     - .m.\n   * - 65\n     - Cmmm\n     - 8n\n     - m..\n   * - 65\n     - Cmmm\n     - 8m\n     - ..2\n   * - 65\n     - Cmmm\n     - 4l\n     - mm2\n   * - 65\n     - Cmmm\n     - 4k\n     - mm2\n   * - 65\n     - Cmmm\n     - 4j\n     - m2m\n   * - 65\n     - Cmmm\n     - 4i\n     - m2m\n   * - 65\n     - Cmmm\n     - 4h\n     - 2mm\n   * - 65\n     - Cmmm\n     - 4g\n     - 2mm\n   * - 65\n     - Cmmm\n     - 4f\n     - ..2/m\n   * - 65\n     - Cmmm\n     - 4e\n     - ..2/m\n   * - 65\n     - Cmmm\n     - 2d\n     - mmm\n   * - 65\n     - Cmmm\n     - 2c\n     - mmm\n   * - 65\n     - Cmmm\n     - 2b\n     - mmm\n   * - 65\n     - Cmmm\n     - 2a\n     - mmm\n   * - 66\n     - Cccm\n     - 16m\n     - 1\n   * - 66\n     - Cccm\n     - 8l\n     - ..m\n   * - 66\n     - Cccm\n     - 8k\n     - ..2\n   * - 66\n     - Cccm\n     - 8j\n     - ..2\n   * - 66\n     - Cccm\n     - 8i\n     - ..2\n   * - 66\n     - Cccm\n     - 8h\n     - .2.\n   * - 66\n     - Cccm\n     - 8g\n     - 2..\n   * - 66\n     - Cccm\n     - 4f\n     - ..2/m\n   * - 66\n     - Cccm\n     - 4e\n     - ..2/m\n   * - 66\n     - Cccm\n     - 4d\n     - ..2/m\n   * - 66\n     - Cccm\n     - 4c\n     - ..2/m\n   * - 66\n     - Cccm\n     - 4b\n     - 222\n   * - 66\n     - Cccm\n     - 4a\n     - 222\n   * - 67\n     - Cmme\n     - 16o\n     - 1\n   * - 67\n     - Cmme\n     - 8n\n     - .m.\n   * - 67\n     - Cmme\n     - 8m\n     - m..\n   * - 67\n     - Cmme\n     - 8l\n     - ..2\n   * - 67\n     - Cmme\n     - 8k\n     - .2.\n   * - 67\n     - Cmme\n     - 8j\n     - .2.\n   * - 67\n     - Cmme\n     - 8i\n     - 2..\n   * - 67\n     - Cmme\n     - 8h\n     - 2..\n   * - 67\n     - Cmme\n     - 4g\n     - mm2\n   * - 67\n     - Cmme\n     - 4f\n     - .2/m.\n   * - 67\n     - Cmme\n     - 4e\n     - .2/m.\n   * - 67\n     - Cmme\n     - 4d\n     - 2/m..\n   * - 67\n     - Cmme\n     - 4c\n     - 2/m..\n   * - 67\n     - Cmme\n     - 4b\n     - 222\n   * - 67\n     - Cmme\n     - 4a\n     - 222\n   * - 68\n     - Ccce\n     - 16i\n     - 1\n   * - 68\n     - Ccce\n     - 8h\n     - ..2\n   * - 68\n     - Ccce\n     - 8g\n     - ..2\n   * - 68\n     - Ccce\n     - 8f\n     - .2.\n   * - 68\n     - Ccce\n     - 8e\n     - 2..\n   * - 68\n     - Ccce\n     - 8d\n     - -1\n   * - 68\n     - Ccce\n     - 8c\n     - -1\n   * - 68\n     - Ccce\n     - 4b\n     - 222\n   * - 68\n     - Ccce\n     - 4a\n     - 222\n   * - 69\n     - Fmmm\n     - 32p\n     - 1\n   * - 69\n     - Fmmm\n     - 16o\n     - ..m\n   * - 69\n     - Fmmm\n     - 16n\n     - .m.\n   * - 69\n     - Fmmm\n     - 16m\n     - m..\n   * - 69\n     - Fmmm\n     - 16l\n     - 2..\n   * - 69\n     - Fmmm\n     - 16k\n     - .2.\n   * - 69\n     - Fmmm\n     - 16j\n     - ..2\n   * - 69\n     - Fmmm\n     - 8i\n     - mm2\n   * - 69\n     - Fmmm\n     - 8h\n     - m2m\n   * - 69\n     - Fmmm\n     - 8g\n     - 2mm\n   * - 69\n     - Fmmm\n     - 8f\n     - 222\n   * - 69\n     - Fmmm\n     - 8e\n     - ..2/m\n   * - 69\n     - Fmmm\n     - 8d\n     - .2/m.\n   * - 69\n     - Fmmm\n     - 8c\n     - 2/m..\n   * - 69\n     - Fmmm\n     - 4b\n     - mmm\n   * - 69\n     - Fmmm\n     - 4a\n     - mmm\n   * - 70\n     - Fddd\n     - 32h\n     - 1\n   * - 70\n     - Fddd\n     - 16g\n     - ..2\n   * - 70\n     - Fddd\n     - 16f\n     - .2.\n   * - 70\n     - Fddd\n     - 16e\n     - 2..\n   * - 70\n     - Fddd\n     - 16d\n     - -1\n   * - 70\n     - Fddd\n     - 16c\n     - -1\n   * - 70\n     - Fddd\n     - 8b\n     - 222\n   * - 70\n     - Fddd\n     - 8a\n     - 222\n   * - 71\n     - Immm\n     - 16o\n     - 1\n   * - 71\n     - Immm\n     - 8n\n     - ..m\n   * - 71\n     - Immm\n     - 8m\n     - .m.\n   * - 71\n     - Immm\n     - 8l\n     - m..\n   * - 71\n     - Immm\n     - 8k\n     - -1\n   * - 71\n     - Immm\n     - 4j\n     - mm2\n   * - 71\n     - Immm\n     - 4i\n     - mm2\n   * - 71\n     - Immm\n     - 4h\n     - m2m\n   * - 71\n     - Immm\n     - 4g\n     - m2m\n   * - 71\n     - Immm\n     - 4f\n     - 2mm\n   * - 71\n     - Immm\n     - 4e\n     - 2mm\n   * - 71\n     - Immm\n     - 2d\n     - mmm\n   * - 71\n     - Immm\n     - 2c\n     - mmm\n   * - 71\n     - Immm\n     - 2b\n     - mmm\n   * - 71\n     - Immm\n     - 2a\n     - mmm\n   * - 72\n     - Ibam\n     - 16k\n     - 1\n   * - 72\n     - Ibam\n     - 8j\n     - ..m\n   * - 72\n     - Ibam\n     - 8i\n     - ..2\n   * - 72\n     - Ibam\n     - 8h\n     - ..2\n   * - 72\n     - Ibam\n     - 8g\n     - .2.\n   * - 72\n     - Ibam\n     - 8f\n     - 2..\n   * - 72\n     - Ibam\n     - 8e\n     - -1\n   * - 72\n     - Ibam\n     - 4d\n     - ..2/m\n   * - 72\n     - Ibam\n     - 4c\n     - ..2/m\n   * - 72\n     - Ibam\n     - 4b\n     - 222\n   * - 72\n     - Ibam\n     - 4a\n     - 222\n   * - 73\n     - Ibca\n     - 16f\n     - 1\n   * - 73\n     - Ibca\n     - 8e\n     - ..2\n   * - 73\n     - Ibca\n     - 8d\n     - .2.\n   * - 73\n     - Ibca\n     - 8c\n     - 2..\n   * - 73\n     - Ibca\n     - 8b\n     - -1\n   * - 73\n     - Ibca\n     - 8a\n     - -1\n   * - 74\n     - Imma\n     - 16j\n     - 1\n   * - 74\n     - Imma\n     - 8i\n     - .m.\n   * - 74\n     - Imma\n     - 8h\n     - m..\n   * - 74\n     - Imma\n     - 8g\n     - .2.\n   * - 74\n     - Imma\n     - 8f\n     - 2..\n   * - 74\n     - Imma\n     - 4e\n     - mm2\n   * - 74\n     - Imma\n     - 4d\n     - .2/m.\n   * - 74\n     - Imma\n     - 4c\n     - .2/m.\n   * - 74\n     - Imma\n     - 4b\n     - 2/m..\n   * - 74\n     - Imma\n     - 4a\n     - 2/m..\n   * - 75\n     - P4\n     - 4d\n     - 1\n   * - 75\n     - P4\n     - 2c\n     - 2..\n   * - 75\n     - P4\n     - 1b\n     - 4..\n   * - 75\n     - P4\n     - 1a\n     - 4..\n   * - 76\n     - P41\n     - 4a\n     - 1\n   * - 77\n     - P42\n     - 4d\n     - 1\n   * - 77\n     - P42\n     - 2c\n     - 2..\n   * - 77\n     - P42\n     - 2b\n     - 2..\n   * - 77\n     - P42\n     - 2a\n     - 2..\n   * - 78\n     - P43\n     - 4a\n     - 1\n   * - 79\n     - I4\n     - 8c\n     - 1\n   * - 79\n     - I4\n     - 4b\n     - 2..\n   * - 79\n     - I4\n     - 2a\n     - 4..\n   * - 80\n     - I41\n     - 8b\n     - 1\n   * - 80\n     - I41\n     - 4a\n     - 2..\n   * - 81\n     - P-4\n     - 4h\n     - 1\n   * - 81\n     - P-4\n     - 2g\n     - 2..\n   * - 81\n     - P-4\n     - 2f\n     - 2..\n   * - 81\n     - P-4\n     - 2e\n     - 2..\n   * - 81\n     - P-4\n     - 1d\n     - -4..\n   * - 81\n     - P-4\n     - 1c\n     - -4..\n   * - 81\n     - P-4\n     - 1b\n     - -4..\n   * - 81\n     - P-4\n     - 1a\n     - -4..\n   * - 82\n     - I-4\n     - 8g\n     - 1\n   * - 82\n     - I-4\n     - 4f\n     - 2..\n   * - 82\n     - I-4\n     - 4e\n     - 2..\n   * - 82\n     - I-4\n     - 2d\n     - -4..\n   * - 82\n     - I-4\n     - 2c\n     - -4..\n   * - 82\n     - I-4\n     - 2b\n     - -4..\n   * - 82\n     - I-4\n     - 2a\n     - -4..\n   * - 83\n     - P4/m\n     - 8l\n     - 1\n   * - 83\n     - P4/m\n     - 4k\n     - m..\n   * - 83\n     - P4/m\n     - 4j\n     - m..\n   * - 83\n     - P4/m\n     - 4i\n     - 2..\n   * - 83\n     - P4/m\n     - 2h\n     - 4..\n   * - 83\n     - P4/m\n     - 2g\n     - 4..\n   * - 83\n     - P4/m\n     - 2f\n     - 2/m..\n   * - 83\n     - P4/m\n     - 2e\n     - 2/m..\n   * - 83\n     - P4/m\n     - 1d\n     - 4/m..\n   * - 83\n     - P4/m\n     - 1c\n     - 4/m..\n   * - 83\n     - P4/m\n     - 1b\n     - 4/m..\n   * - 83\n     - P4/m\n     - 1a\n     - 4/m..\n   * - 84\n     - P42/m\n     - 8k\n     - 1\n   * - 84\n     - P42/m\n     - 4j\n     - m..\n   * - 84\n     - P42/m\n     - 4i\n     - 2..\n   * - 84\n     - P42/m\n     - 4h\n     - 2..\n   * - 84\n     - P42/m\n     - 4g\n     - 2..\n   * - 84\n     - P42/m\n     - 2f\n     - -4..\n   * - 84\n     - P42/m\n     - 2e\n     - -4..\n   * - 84\n     - P42/m\n     - 2d\n     - 2/m..\n   * - 84\n     - P42/m\n     - 2c\n     - 2/m..\n   * - 84\n     - P42/m\n     - 2b\n     - 2/m..\n   * - 84\n     - P42/m\n     - 2a\n     - 2/m..\n   * - 85\n     - P4/n\n     - 8g\n     - 1\n   * - 85\n     - P4/n\n     - 4f\n     - 2..\n   * - 85\n     - P4/n\n     - 4e\n     - -1\n   * - 85\n     - P4/n\n     - 4d\n     - -1\n   * - 85\n     - P4/n\n     - 2c\n     - 4..\n   * - 85\n     - P4/n\n     - 2b\n     - -4..\n   * - 85\n     - P4/n\n     - 2a\n     - -4..\n   * - 86\n     - P42/n\n     - 8g\n     - 1\n   * - 86\n     - P42/n\n     - 4f\n     - 2..\n   * - 86\n     - P42/n\n     - 4e\n     - 2..\n   * - 86\n     - P42/n\n     - 4d\n     - -1\n   * - 86\n     - P42/n\n     - 4c\n     - -1\n   * - 86\n     - P42/n\n     - 2b\n     - -4..\n   * - 86\n     - P42/n\n     - 2a\n     - -4..\n   * - 87\n     - I4/m\n     - 16i\n     - 1\n   * - 87\n     - I4/m\n     - 8h\n     - m..\n   * - 87\n     - I4/m\n     - 8g\n     - 2..\n   * - 87\n     - I4/m\n     - 8f\n     - -1\n   * - 87\n     - I4/m\n     - 4e\n     - 4..\n   * - 87\n     - I4/m\n     - 4d\n     - -4..\n   * - 87\n     - I4/m\n     - 4c\n     - 2/m..\n   * - 87\n     - I4/m\n     - 2b\n     - 4/m..\n   * - 87\n     - I4/m\n     - 2a\n     - 4/m..\n   * - 88\n     - I41/a\n     - 16f\n     - 1\n   * - 88\n     - I41/a\n     - 8e\n     - 2..\n   * - 88\n     - I41/a\n     - 8d\n     - -1\n   * - 88\n     - I41/a\n     - 8c\n     - -1\n   * - 88\n     - I41/a\n     - 4b\n     - -4..\n   * - 88\n     - I41/a\n     - 4a\n     - -4..\n   * - 89\n     - P422\n     - 8p\n     - 1\n   * - 89\n     - P422\n     - 4o\n     - .2.\n   * - 89\n     - P422\n     - 4n\n     - .2.\n   * - 89\n     - P422\n     - 4m\n     - .2.\n   * - 89\n     - P422\n     - 4l\n     - .2.\n   * - 89\n     - P422\n     - 4k\n     - ..2\n   * - 89\n     - P422\n     - 4j\n     - ..2\n   * - 89\n     - P422\n     - 4i\n     - 2..\n   * - 89\n     - P422\n     - 2h\n     - 4..\n   * - 89\n     - P422\n     - 2g\n     - 4..\n   * - 89\n     - P422\n     - 2f\n     - 222.\\\n   * - 89\n     - P422\n     - 2e\n     - 222.\\\n   * - 89\n     - P422\n     - 1d\n     - 422\n   * - 89\n     - P422\n     - 1c\n     - 422\n   * - 89\n     - P422\n     - 1b\n     - 422\n   * - 89\n     - P422\n     - 1a\n     - 422\n   * - 90\n     - P4212\n     - 8g\n     - 1\n   * - 90\n     - P4212\n     - 4f\n     - ..2\n   * - 90\n     - P4212\n     - 4e\n     - ..2\n   * - 90\n     - P4212\n     - 4d\n     - 2..\n   * - 90\n     - P4212\n     - 2c\n     - 4..\n   * - 90\n     - P4212\n     - 2b\n     - 2.22\n   * - 90\n     - P4212\n     - 2a\n     - 2.22\n   * - 91\n     - P4122\n     - 8d\n     - 1\n   * - 91\n     - P4122\n     - 4c\n     - ..2\n   * - 91\n     - P4122\n     - 4b\n     - .2.\n   * - 91\n     - P4122\n     - 4a\n     - .2.\n   * - 92\n     - P41212\n     - 8b\n     - 1\n   * - 92\n     - P41212\n     - 4a\n     - ..2\n   * - 93\n     - P4222\n     - 8p\n     - 1\n   * - 93\n     - P4222\n     - 4o\n     - ..2\n   * - 93\n     - P4222\n     - 4n\n     - ..2\n   * - 93\n     - P4222\n     - 4m\n     - .2.\n   * - 93\n     - P4222\n     - 4l\n     - .2.\n   * - 93\n     - P4222\n     - 4k\n     - .2.\n   * - 93\n     - P4222\n     - 4j\n     - .2.\n   * - 93\n     - P4222\n     - 4i\n     - 2..\n   * - 93\n     - P4222\n     - 4h\n     - 2..\n   * - 93\n     - P4222\n     - 4g\n     - 2..\n   * - 93\n     - P4222\n     - 2f\n     - 2.22\n   * - 93\n     - P4222\n     - 2e\n     - 2.22\n   * - 93\n     - P4222\n     - 2d\n     - 222.\\\n   * - 93\n     - P4222\n     - 2c\n     - 222.\\\n   * - 93\n     - P4222\n     - 2b\n     - 222.\\\n   * - 93\n     - P4222\n     - 2a\n     - 222.\\\n   * - 94\n     - P42212\n     - 8g\n     - 1\n   * - 94\n     - P42212\n     - 4f\n     - ..2\n   * - 94\n     - P42212\n     - 4e\n     - ..2\n   * - 94\n     - P42212\n     - 4d\n     - 2..\n   * - 94\n     - P42212\n     - 4c\n     - 2..\n   * - 94\n     - P42212\n     - 2b\n     - 2.22\n   * - 94\n     - P42212\n     - 2a\n     - 2.22\n   * - 95\n     - P4322\n     - 8d\n     - 1\n   * - 95\n     - P4322\n     - 4c\n     - ..2\n   * - 95\n     - P4322\n     - 4b\n     - .2.\n   * - 95\n     - P4322\n     - 4a\n     - .2.\n   * - 96\n     - P43212\n     - 8b\n     - 1\n   * - 96\n     - P43212\n     - 4a\n     - ..2\n   * - 97\n     - I422\n     - 16k\n     - 1\n   * - 97\n     - I422\n     - 8j\n     - ..2\n   * - 97\n     - I422\n     - 8i\n     - .2.\n   * - 97\n     - I422\n     - 8h\n     - .2.\n   * - 97\n     - I422\n     - 8g\n     - ..2\n   * - 97\n     - I422\n     - 8f\n     - 2..\n   * - 97\n     - I422\n     - 4e\n     - 4..\n   * - 97\n     - I422\n     - 4d\n     - 2.22\n   * - 97\n     - I422\n     - 4c\n     - 222.\\\n   * - 97\n     - I422\n     - 2b\n     - 422\n   * - 97\n     - I422\n     - 2a\n     - 422\n   * - 98\n     - I4122\n     - 16g\n     - 1\n   * - 98\n     - I4122\n     - 8f\n     - .2.\n   * - 98\n     - I4122\n     - 8e\n     - ..2\n   * - 98\n     - I4122\n     - 8d\n     - ..2\n   * - 98\n     - I4122\n     - 8c\n     - 2..\n   * - 98\n     - I4122\n     - 4b\n     - 2.22\n   * - 98\n     - I4122\n     - 4a\n     - 2.22\n   * - 99\n     - P4mm\n     - 8g\n     - 1\n   * - 99\n     - P4mm\n     - 4f\n     - .m.\n   * - 99\n     - P4mm\n     - 4e\n     - .m.\n   * - 99\n     - P4mm\n     - 4d\n     - ..m\n   * - 99\n     - P4mm\n     - 2c\n     - 2mm.\n   * - 99\n     - P4mm\n     - 1b\n     - 4mm\n   * - 99\n     - P4mm\n     - 1a\n     - 4mm\n   * - 100\n     - P4bm\n     - 8d\n     - 1\n   * - 100\n     - P4bm\n     - 4c\n     - ..m\n   * - 100\n     - P4bm\n     - 2b\n     - 2.mm\n   * - 100\n     - P4bm\n     - 2a\n     - 4..\n   * - 101\n     - P42cm\n     - 8e\n     - 1\n   * - 101\n     - P42cm\n     - 4d\n     - ..m\n   * - 101\n     - P42cm\n     - 4c\n     - 2..\n   * - 101\n     - P42cm\n     - 2b\n     - 2.mm\n   * - 101\n     - P42cm\n     - 2a\n     - 2.mm\n   * - 102\n     - P42nm\n     - 8d\n     - 1\n   * - 102\n     - P42nm\n     - 4c\n     - ..m\n   * - 102\n     - P42nm\n     - 4b\n     - 2..\n   * - 102\n     - P42nm\n     - 2a\n     - 2.mm\n   * - 103\n     - P4cc\n     - 8d\n     - 1\n   * - 103\n     - P4cc\n     - 4c\n     - 2..\n   * - 103\n     - P4cc\n     - 2b\n     - 4..\n   * - 103\n     - P4cc\n     - 2a\n     - 4..\n   * - 104\n     - P4nc\n     - 8c\n     - 1\n   * - 104\n     - P4nc\n     - 4b\n     - 2..\n   * - 104\n     - P4nc\n     - 2a\n     - 4..\n   * - 105\n     - P42mc\n     - 8f\n     - 1\n   * - 105\n     - P42mc\n     - 4e\n     - .m.\n   * - 105\n     - P42mc\n     - 4d\n     - .m.\n   * - 105\n     - P42mc\n     - 2c\n     - 2mm.\n   * - 105\n     - P42mc\n     - 2b\n     - 2mm.\n   * - 105\n     - P42mc\n     - 2a\n     - 2mm.\n   * - 106\n     - P42bc\n     - 8c\n     - 1\n   * - 106\n     - P42bc\n     - 4b\n     - 2..\n   * - 106\n     - P42bc\n     - 4a\n     - 2..\n   * - 107\n     - I4mm\n     - 16e\n     - 1\n   * - 107\n     - I4mm\n     - 8d\n     - .m.\n   * - 107\n     - I4mm\n     - 8c\n     - ..m\n   * - 107\n     - I4mm\n     - 4b\n     - 2mm.\n   * - 107\n     - I4mm\n     - 2a\n     - 4mm\n   * - 108\n     - I4cm\n     - 16d\n     - 1\n   * - 108\n     - I4cm\n     - 8c\n     - ..m\n   * - 108\n     - I4cm\n     - 4b\n     - 2.mm\n   * - 108\n     - I4cm\n     - 4a\n     - 4..\n   * - 109\n     - I41md\n     - 16c\n     - 1\n   * - 109\n     - I41md\n     - 8b\n     - .m.\n   * - 109\n     - I41md\n     - 4a\n     - 2mm.\n   * - 110\n     - I41cd\n     - 16b\n     - 1\n   * - 110\n     - I41cd\n     - 8a\n     - 2..\n   * - 111\n     - P-42m\n     - 8o\n     - 1\n   * - 111\n     - P-42m\n     - 4n\n     - ..m\n   * - 111\n     - P-42m\n     - 4m\n     - 2..\n   * - 111\n     - P-42m\n     - 4l\n     - .2.\n   * - 111\n     - P-42m\n     - 4k\n     - .2.\n   * - 111\n     - P-42m\n     - 4j\n     - .2.\n   * - 111\n     - P-42m\n     - 4i\n     - .2.\n   * - 111\n     - P-42m\n     - 2h\n     - 2.mm\n   * - 111\n     - P-42m\n     - 2g\n     - 2.mm\n   * - 111\n     - P-42m\n     - 2f\n     - 222.\\\n   * - 111\n     - P-42m\n     - 2e\n     - 222.\\\n   * - 111\n     - P-42m\n     - 1d\n     - -42m\n   * - 111\n     - P-42m\n     - 1c\n     - -42m\n   * - 111\n     - P-42m\n     - 1b\n     - -42m\n   * - 111\n     - P-42m\n     - 1a\n     - -42m\n   * - 112\n     - P-42c\n     - 8n\n     - 1\n   * - 112\n     - P-42c\n     - 4m\n     - 2..\n   * - 112\n     - P-42c\n     - 4l\n     - 2..\n   * - 112\n     - P-42c\n     - 4k\n     - 2..\n   * - 112\n     - P-42c\n     - 4j\n     - .2.\n   * - 112\n     - P-42c\n     - 4i\n     - .2.\n   * - 112\n     - P-42c\n     - 4h\n     - .2.\n   * - 112\n     - P-42c\n     - 4g\n     - .2.\n   * - 112\n     - P-42c\n     - 2f\n     - -4..\n   * - 112\n     - P-42c\n     - 2e\n     - -4..\n   * - 112\n     - P-42c\n     - 2d\n     - 222.\\\n   * - 112\n     - P-42c\n     - 2c\n     - 222.\\\n   * - 112\n     - P-42c\n     - 2b\n     - 222.\\\n   * - 112\n     - P-42c\n     - 2a\n     - 222.\\\n   * - 113\n     - P-421m\n     - 8f\n     - 1\n   * - 113\n     - P-421m\n     - 4e\n     - ..m\n   * - 113\n     - P-421m\n     - 4d\n     - 2..\n   * - 113\n     - P-421m\n     - 2c\n     - 2.mm\n   * - 113\n     - P-421m\n     - 2b\n     - -4..\n   * - 113\n     - P-421m\n     - 2a\n     - -4..\n   * - 114\n     - P-421c\n     - 8e\n     - 1\n   * - 114\n     - P-421c\n     - 4d\n     - 2..\n   * - 114\n     - P-421c\n     - 4c\n     - 2..\n   * - 114\n     - P-421c\n     - 2b\n     - -4..\n   * - 114\n     - P-421c\n     - 2a\n     - -4..\n   * - 115\n     - P-4m2\n     - 8l\n     - 1\n   * - 115\n     - P-4m2\n     - 4k\n     - .m.\n   * - 115\n     - P-4m2\n     - 4j\n     - .m.\n   * - 115\n     - P-4m2\n     - 4i\n     - ..2\n   * - 115\n     - P-4m2\n     - 4h\n     - ..2\n   * - 115\n     - P-4m2\n     - 2g\n     - 2mm.\n   * - 115\n     - P-4m2\n     - 2f\n     - 2mm.\n   * - 115\n     - P-4m2\n     - 2e\n     - 2mm.\n   * - 115\n     - P-4m2\n     - 1d\n     - -4m2\n   * - 115\n     - P-4m2\n     - 1c\n     - -4m2\n   * - 115\n     - P-4m2\n     - 1b\n     - -4m2\n   * - 115\n     - P-4m2\n     - 1a\n     - -4m2\n   * - 116\n     - P-4c2\n     - 8j\n     - 1\n   * - 116\n     - P-4c2\n     - 4i\n     - 2..\n   * - 116\n     - P-4c2\n     - 4h\n     - 2..\n   * - 116\n     - P-4c2\n     - 4g\n     - 2..\n   * - 116\n     - P-4c2\n     - 4f\n     - ..2\n   * - 116\n     - P-4c2\n     - 4e\n     - ..2\n   * - 116\n     - P-4c2\n     - 2d\n     - -4..\n   * - 116\n     - P-4c2\n     - 2c\n     - -4..\n   * - 116\n     - P-4c2\n     - 2b\n     - 2.22\n   * - 116\n     - P-4c2\n     - 2a\n     - 2.22\n   * - 117\n     - P-4b2\n     - 8i\n     - 1\n   * - 117\n     - P-4b2\n     - 4h\n     - ..2\n   * - 117\n     - P-4b2\n     - 4g\n     - ..2\n   * - 117\n     - P-4b2\n     - 4f\n     - 2..\n   * - 117\n     - P-4b2\n     - 4e\n     - 2..\n   * - 117\n     - P-4b2\n     - 2d\n     - 2.22\n   * - 117\n     - P-4b2\n     - 2c\n     - 2.22\n   * - 117\n     - P-4b2\n     - 2b\n     - -4..\n   * - 117\n     - P-4b2\n     - 2a\n     - -4..\n   * - 118\n     - P-4n2\n     - 8i\n     - 1\n   * - 118\n     - P-4n2\n     - 4h\n     - 2..\n   * - 118\n     - P-4n2\n     - 4g\n     - ..2\n   * - 118\n     - P-4n2\n     - 4f\n     - ..2\n   * - 118\n     - P-4n2\n     - 4e\n     - 2..\n   * - 118\n     - P-4n2\n     - 2d\n     - 2.22\n   * - 118\n     - P-4n2\n     - 2c\n     - 2.22\n   * - 118\n     - P-4n2\n     - 2b\n     - -4..\n   * - 118\n     - P-4n2\n     - 2a\n     - -4..\n   * - 119\n     - I-4m2\n     - 16j\n     - 1\n   * - 119\n     - I-4m2\n     - 8i\n     - .m.\n   * - 119\n     - I-4m2\n     - 8h\n     - ..2\n   * - 119\n     - I-4m2\n     - 8g\n     - ..2\n   * - 119\n     - I-4m2\n     - 4f\n     - 2mm.\n   * - 119\n     - I-4m2\n     - 4e\n     - 2mm.\n   * - 119\n     - I-4m2\n     - 2d\n     - -4m2\n   * - 119\n     - I-4m2\n     - 2c\n     - -4m2\n   * - 119\n     - I-4m2\n     - 2b\n     - -4m2\n   * - 119\n     - I-4m2\n     - 2a\n     - -4m2\n   * - 120\n     - I-4c2\n     - 16i\n     - 1\n   * - 120\n     - I-4c2\n     - 8h\n     - ..2\n   * - 120\n     - I-4c2\n     - 8g\n     - 2..\n   * - 120\n     - I-4c2\n     - 8f\n     - 2..\n   * - 120\n     - I-4c2\n     - 8e\n     - ..2\n   * - 120\n     - I-4c2\n     - 4d\n     - 2.22\n   * - 120\n     - I-4c2\n     - 4c\n     - -4..\n   * - 120\n     - I-4c2\n     - 4b\n     - -4..\n   * - 120\n     - I-4c2\n     - 4a\n     - 2.22\n   * - 121\n     - I-42m\n     - 16j\n     - 1\n   * - 121\n     - I-42m\n     - 8i\n     - ..m\n   * - 121\n     - I-42m\n     - 8h\n     - 2..\n   * - 121\n     - I-42m\n     - 8g\n     - .2.\n   * - 121\n     - I-42m\n     - 8f\n     - .2.\n   * - 121\n     - I-42m\n     - 4e\n     - 2.mm\n   * - 121\n     - I-42m\n     - 4d\n     - -4..\n   * - 121\n     - I-42m\n     - 4c\n     - 222.\\\n   * - 121\n     - I-42m\n     - 2b\n     - -42m\n   * - 121\n     - I-42m\n     - 2a\n     - -42m\n   * - 122\n     - I-42d\n     - 16e\n     - 1\n   * - 122\n     - I-42d\n     - 8d\n     - .2.\n   * - 122\n     - I-42d\n     - 8c\n     - 2..\n   * - 122\n     - I-42d\n     - 4b\n     - -4..\n   * - 122\n     - I-42d\n     - 4a\n     - -4..\n   * - 123\n     - P4/mmm\n     - 16u\n     - 1\n   * - 123\n     - P4/mmm\n     - 8t\n     - .m.\n   * - 123\n     - P4/mmm\n     - 8s\n     - .m.\n   * - 123\n     - P4/mmm\n     - 8r\n     - ..m\n   * - 123\n     - P4/mmm\n     - 8q\n     - m..\n   * - 123\n     - P4/mmm\n     - 8p\n     - m..\n   * - 123\n     - P4/mmm\n     - 4o\n     - m2m.\n   * - 123\n     - P4/mmm\n     - 4n\n     - m2m.\n   * - 123\n     - P4/mmm\n     - 4m\n     - m2m.\n   * - 123\n     - P4/mmm\n     - 4l\n     - m2m.\n   * - 123\n     - P4/mmm\n     - 4k\n     - m.2m\n   * - 123\n     - P4/mmm\n     - 4j\n     - m.2m\n   * - 123\n     - P4/mmm\n     - 4i\n     - 2mm.\n   * - 123\n     - P4/mmm\n     - 2h\n     - 4mm\n   * - 123\n     - P4/mmm\n     - 2g\n     - 4mm\n   * - 123\n     - P4/mmm\n     - 2f\n     - mmm.\\\n   * - 123\n     - P4/mmm\n     - 2e\n     - mmm.\\\n   * - 123\n     - P4/mmm\n     - 1d\n     - 4/mmm\n   * - 123\n     - P4/mmm\n     - 1c\n     - 4/mmm\n   * - 123\n     - P4/mmm\n     - 1b\n     - 4/mmm\n   * - 123\n     - P4/mmm\n     - 1a\n     - 4/mmm\n   * - 124\n     - P4/mcc\n     - 16n\n     - 1\n   * - 124\n     - P4/mcc\n     - 8m\n     - m..\n   * - 124\n     - P4/mcc\n     - 8l\n     - .2.\n   * - 124\n     - P4/mcc\n     - 8k\n     - .2.\n   * - 124\n     - P4/mcc\n     - 8j\n     - ..2\n   * - 124\n     - P4/mcc\n     - 8i\n     - 2..\n   * - 124\n     - P4/mcc\n     - 4h\n     - 4..\n   * - 124\n     - P4/mcc\n     - 4g\n     - 4..\n   * - 124\n     - P4/mcc\n     - 4f\n     - 222.\\\n   * - 124\n     - P4/mcc\n     - 4e\n     - 2/m..\n   * - 124\n     - P4/mcc\n     - 2d\n     - 4/m..\n   * - 124\n     - P4/mcc\n     - 2c\n     - 422\n   * - 124\n     - P4/mcc\n     - 2b\n     - 4/m..\n   * - 124\n     - P4/mcc\n     - 2a\n     - 422\n   * - 125\n     - P4/nbm\n     - 16n\n     - 1\n   * - 125\n     - P4/nbm\n     - 8m\n     - ..m\n   * - 125\n     - P4/nbm\n     - 8l\n     - .2.\n   * - 125\n     - P4/nbm\n     - 8k\n     - .2.\n   * - 125\n     - P4/nbm\n     - 8j\n     - ..2\n   * - 125\n     - P4/nbm\n     - 8i\n     - ..2\n   * - 125\n     - P4/nbm\n     - 4h\n     - 2.mm\n   * - 125\n     - P4/nbm\n     - 4g\n     - 4..\n   * - 125\n     - P4/nbm\n     - 4f\n     - ..2/m\n   * - 125\n     - P4/nbm\n     - 4e\n     - ..2/m\n   * - 125\n     - P4/nbm\n     - 2d\n     - -42m\n   * - 125\n     - P4/nbm\n     - 2c\n     - -42m\n   * - 125\n     - P4/nbm\n     - 2b\n     - 422\n   * - 125\n     - P4/nbm\n     - 2a\n     - 422\n   * - 126\n     - P4/nnc\n     - 16k\n     - 1\n   * - 126\n     - P4/nnc\n     - 8j\n     - .2.\n   * - 126\n     - P4/nnc\n     - 8i\n     - .2.\n   * - 126\n     - P4/nnc\n     - 8h\n     - ..2\n   * - 126\n     - P4/nnc\n     - 8g\n     - 2..\n   * - 126\n     - P4/nnc\n     - 8f\n     - -1\n   * - 126\n     - P4/nnc\n     - 4e\n     - 4..\n   * - 126\n     - P4/nnc\n     - 4d\n     - -4..\n   * - 126\n     - P4/nnc\n     - 4c\n     - 222.\\\n   * - 126\n     - P4/nnc\n     - 2b\n     - 422\n   * - 126\n     - P4/nnc\n     - 2a\n     - 422\n   * - 127\n     - P4/mbm\n     - 16l\n     - 1\n   * - 127\n     - P4/mbm\n     - 8k\n     - ..m\n   * - 127\n     - P4/mbm\n     - 8j\n     - m..\n   * - 127\n     - P4/mbm\n     - 8i\n     - m..\n   * - 127\n     - P4/mbm\n     - 4h\n     - m.2m\n   * - 127\n     - P4/mbm\n     - 4g\n     - m.2m\n   * - 127\n     - P4/mbm\n     - 4f\n     - 2.mm\n   * - 127\n     - P4/mbm\n     - 4e\n     - 4..\n   * - 127\n     - P4/mbm\n     - 2d\n     - m.mm\n   * - 127\n     - P4/mbm\n     - 2c\n     - m.mm\n   * - 127\n     - P4/mbm\n     - 2b\n     - 4/m..\n   * - 127\n     - P4/mbm\n     - 2a\n     - 4/m..\n   * - 128\n     - P4/mnc\n     - 16i\n     - 1\n   * - 128\n     - P4/mnc\n     - 8h\n     - m..\n   * - 128\n     - P4/mnc\n     - 8g\n     - ..2\n   * - 128\n     - P4/mnc\n     - 8f\n     - 2..\n   * - 128\n     - P4/mnc\n     - 4e\n     - 4..\n   * - 128\n     - P4/mnc\n     - 4d\n     - 2.22\n   * - 128\n     - P4/mnc\n     - 4c\n     - 2/m..\n   * - 128\n     - P4/mnc\n     - 2b\n     - 4/m..\n   * - 128\n     - P4/mnc\n     - 2a\n     - 4/m..\n   * - 129\n     - P4/nmm\n     - 16k\n     - 1\n   * - 129\n     - P4/nmm\n     - 8j\n     - ..m\n   * - 129\n     - P4/nmm\n     - 8i\n     - .m.\n   * - 129\n     - P4/nmm\n     - 8h\n     - ..2\n   * - 129\n     - P4/nmm\n     - 8g\n     - ..2\n   * - 129\n     - P4/nmm\n     - 4f\n     - 2mm.\n   * - 129\n     - P4/nmm\n     - 4e\n     - ..2/m\n   * - 129\n     - P4/nmm\n     - 4d\n     - ..2/m\n   * - 129\n     - P4/nmm\n     - 2c\n     - 4mm\n   * - 129\n     - P4/nmm\n     - 2b\n     - -4m2\n   * - 129\n     - P4/nmm\n     - 2a\n     - -4m2\n   * - 130\n     - P4/ncc\n     - 16g\n     - 1\n   * - 130\n     - P4/ncc\n     - 8f\n     - ..2\n   * - 130\n     - P4/ncc\n     - 8e\n     - 2..\n   * - 130\n     - P4/ncc\n     - 8d\n     - -1\n   * - 130\n     - P4/ncc\n     - 4c\n     - 4..\n   * - 130\n     - P4/ncc\n     - 4b\n     - -4..\n   * - 130\n     - P4/ncc\n     - 4a\n     - 2.22\n   * - 131\n     - P42/mmc\n     - 16r\n     - 1\n   * - 131\n     - P42/mmc\n     - 8q\n     - m..\n   * - 131\n     - P42/mmc\n     - 8p\n     - .m.\n   * - 131\n     - P42/mmc\n     - 8o\n     - .m.\n   * - 131\n     - P42/mmc\n     - 8n\n     - ..2\n   * - 131\n     - P42/mmc\n     - 4m\n     - m2m.\n   * - 131\n     - P42/mmc\n     - 4l\n     - m2m.\n   * - 131\n     - P42/mmc\n     - 4k\n     - m2m.\n   * - 131\n     - P42/mmc\n     - 4j\n     - m2m.\n   * - 131\n     - P42/mmc\n     - 4i\n     - 2mm.\n   * - 131\n     - P42/mmc\n     - 4h\n     - 2mm.\n   * - 131\n     - P42/mmc\n     - 4g\n     - 2mm.\n   * - 131\n     - P42/mmc\n     - 2f\n     - -4m2\n   * - 131\n     - P42/mmc\n     - 2e\n     - -4m2\n   * - 131\n     - P42/mmc\n     - 2d\n     - mmm.\\\n   * - 131\n     - P42/mmc\n     - 2c\n     - mmm.\\\n   * - 131\n     - P42/mmc\n     - 2b\n     - mmm.\\\n   * - 131\n     - P42/mmc\n     - 2a\n     - mmm.\\\n   * - 132\n     - P42/mcm\n     - 16p\n     - 1\n   * - 132\n     - P42/mcm\n     - 8o\n     - ..m\n   * - 132\n     - P42/mcm\n     - 8n\n     - m..\n   * - 132\n     - P42/mcm\n     - 8m\n     - .2.\n   * - 132\n     - P42/mcm\n     - 8l\n     - .2.\n   * - 132\n     - P42/mcm\n     - 8k\n     - 2..\n   * - 132\n     - P42/mcm\n     - 4j\n     - m.2m\n   * - 132\n     - P42/mcm\n     - 4i\n     - m.2m\n   * - 132\n     - P42/mcm\n     - 4h\n     - 2.mm\n   * - 132\n     - P42/mcm\n     - 4g\n     - 2.mm\n   * - 132\n     - P42/mcm\n     - 4f\n     - 2/m..\n   * - 132\n     - P42/mcm\n     - 4e\n     - 222.\\\n   * - 132\n     - P42/mcm\n     - 2d\n     - -42m\n   * - 132\n     - P42/mcm\n     - 2c\n     - m.mm\n   * - 132\n     - P42/mcm\n     - 2b\n     - -42m\n   * - 132\n     - P42/mcm\n     - 2a\n     - m.mm\n   * - 133\n     - P42/nbc\n     - 16k\n     - 1\n   * - 133\n     - P42/nbc\n     - 8j\n     - ..2\n   * - 133\n     - P42/nbc\n     - 8i\n     - .2.\n   * - 133\n     - P42/nbc\n     - 8h\n     - .2.\n   * - 133\n     - P42/nbc\n     - 8g\n     - 2..\n   * - 133\n     - P42/nbc\n     - 8f\n     - 2..\n   * - 133\n     - P42/nbc\n     - 8e\n     - -1\n   * - 133\n     - P42/nbc\n     - 4d\n     - -4..\n   * - 133\n     - P42/nbc\n     - 4c\n     - 2.22\n   * - 133\n     - P42/nbc\n     - 4b\n     - 222.\\\n   * - 133\n     - P42/nbc\n     - 4a\n     - 222.\\\n   * - 134\n     - P42/nnm\n     - 16n\n     - 1\n   * - 134\n     - P42/nnm\n     - 8m\n     - ..m\n   * - 134\n     - P42/nnm\n     - 8l\n     - ..2\n   * - 134\n     - P42/nnm\n     - 8k\n     - ..2\n   * - 134\n     - P42/nnm\n     - 8j\n     - .2.\n   * - 134\n     - P42/nnm\n     - 8i\n     - .2.\n   * - 134\n     - P42/nnm\n     - 8h\n     - 2..\n   * - 134\n     - P42/nnm\n     - 4g\n     - 2.mm\n   * - 134\n     - P42/nnm\n     - 4f\n     - ..2/m\n   * - 134\n     - P42/nnm\n     - 4e\n     - ..2/m\n   * - 134\n     - P42/nnm\n     - 4d\n     - 2.22\n   * - 134\n     - P42/nnm\n     - 4c\n     - 222.\\\n   * - 134\n     - P42/nnm\n     - 2b\n     - -42m\n   * - 134\n     - P42/nnm\n     - 2a\n     - -42m\n   * - 135\n     - P42/mbc\n     - 16i\n     - 1\n   * - 135\n     - P42/mbc\n     - 8h\n     - m..\n   * - 135\n     - P42/mbc\n     - 8g\n     - ..2\n   * - 135\n     - P42/mbc\n     - 8f\n     - 2..\n   * - 135\n     - P42/mbc\n     - 8e\n     - 2..\n   * - 135\n     - P42/mbc\n     - 4d\n     - 2.22\n   * - 135\n     - P42/mbc\n     - 4c\n     - 2/m..\n   * - 135\n     - P42/mbc\n     - 4b\n     - -4..\n   * - 135\n     - P42/mbc\n     - 4a\n     - 2/m..\n   * - 136\n     - P42/mnm\n     - 16k\n     - 1\n   * - 136\n     - P42/mnm\n     - 8j\n     - ..m\n   * - 136\n     - P42/mnm\n     - 8i\n     - m..\n   * - 136\n     - P42/mnm\n     - 8h\n     - 2..\n   * - 136\n     - P42/mnm\n     - 4g\n     - m.2m\n   * - 136\n     - P42/mnm\n     - 4f\n     - m.2m\n   * - 136\n     - P42/mnm\n     - 4e\n     - 2.mm\n   * - 136\n     - P42/mnm\n     - 4d\n     - -4..\n   * - 136\n     - P42/mnm\n     - 4c\n     - 2/m..\n   * - 136\n     - P42/mnm\n     - 2b\n     - m.mm\n   * - 136\n     - P42/mnm\n     - 2a\n     - m.mm\n   * - 137\n     - P42/nmc\n     - 16h\n     - 1\n   * - 137\n     - P42/nmc\n     - 8g\n     - .m.\n   * - 137\n     - P42/nmc\n     - 8f\n     - ..2\n   * - 137\n     - P42/nmc\n     - 8e\n     - -1\n   * - 137\n     - P42/nmc\n     - 4d\n     - 2mm.\n   * - 137\n     - P42/nmc\n     - 4c\n     - 2mm.\n   * - 137\n     - P42/nmc\n     - 2b\n     - -4m2\n   * - 137\n     - P42/nmc\n     - 2a\n     - -4m2\n   * - 138\n     - P42/ncm\n     - 16j\n     - 1\n   * - 138\n     - P42/ncm\n     - 8i\n     - ..m\n   * - 138\n     - P42/ncm\n     - 8h\n     - ..2\n   * - 138\n     - P42/ncm\n     - 8g\n     - ..2\n   * - 138\n     - P42/ncm\n     - 8f\n     - 2..\n   * - 138\n     - P42/ncm\n     - 4e\n     - 2.mm\n   * - 138\n     - P42/ncm\n     - 4d\n     - ..2/m\n   * - 138\n     - P42/ncm\n     - 4c\n     - ..2/m\n   * - 138\n     - P42/ncm\n     - 4b\n     - -4..\n   * - 138\n     - P42/ncm\n     - 4a\n     - 2.22\n   * - 139\n     - I4/mmm\n     - 32o\n     - 1\n   * - 139\n     - I4/mmm\n     - 16n\n     - .m.\n   * - 139\n     - I4/mmm\n     - 16m\n     - ..m\n   * - 139\n     - I4/mmm\n     - 16l\n     - m..\n   * - 139\n     - I4/mmm\n     - 16k\n     - ..2\n   * - 139\n     - I4/mmm\n     - 8j\n     - m2m.\n   * - 139\n     - I4/mmm\n     - 8i\n     - m2m.\n   * - 139\n     - I4/mmm\n     - 8h\n     - m.2m\n   * - 139\n     - I4/mmm\n     - 8g\n     - 2mm.\n   * - 139\n     - I4/mmm\n     - 8f\n     - ..2/m\n   * - 139\n     - I4/mmm\n     - 4e\n     - 4mm\n   * - 139\n     - I4/mmm\n     - 4d\n     - -4m2\n   * - 139\n     - I4/mmm\n     - 4c\n     - mmm.\\\n   * - 139\n     - I4/mmm\n     - 2b\n     - 4/mmm\n   * - 139\n     - I4/mmm\n     - 2a\n     - 4/mmm\n   * - 140\n     - I4/mcm\n     - 32m\n     - 1\n   * - 140\n     - I4/mcm\n     - 16l\n     - ..m\n   * - 140\n     - I4/mcm\n     - 16k\n     - m..\n   * - 140\n     - I4/mcm\n     - 16j\n     - .2.\n   * - 140\n     - I4/mcm\n     - 16i\n     - ..2\n   * - 140\n     - I4/mcm\n     - 8h\n     - m.2m\n   * - 140\n     - I4/mcm\n     - 8g\n     - 2.mm\n   * - 140\n     - I4/mcm\n     - 8f\n     - 4..\n   * - 140\n     - I4/mcm\n     - 8e\n     - ..2/m\n   * - 140\n     - I4/mcm\n     - 4d\n     - m.mm\n   * - 140\n     - I4/mcm\n     - 4c\n     - 4/m..\n   * - 140\n     - I4/mcm\n     - 4b\n     - -42m\n   * - 140\n     - I4/mcm\n     - 4a\n     - 422\n   * - 141\n     - I41/amd\n     - 32i\n     - 1\n   * - 141\n     - I41/amd\n     - 16h\n     - .m.\n   * - 141\n     - I41/amd\n     - 16g\n     - ..2\n   * - 141\n     - I41/amd\n     - 16f\n     - .2.\n   * - 141\n     - I41/amd\n     - 8e\n     - 2mm.\n   * - 141\n     - I41/amd\n     - 8d\n     - .2/m.\n   * - 141\n     - I41/amd\n     - 8c\n     - .2/m.\n   * - 141\n     - I41/amd\n     - 4b\n     - -4m2\n   * - 141\n     - I41/amd\n     - 4a\n     - -4m2\n   * - 142\n     - I41/acd\n     - 32g\n     - 1\n   * - 142\n     - I41/acd\n     - 16f\n     - ..2\n   * - 142\n     - I41/acd\n     - 16e\n     - .2.\n   * - 142\n     - I41/acd\n     - 16d\n     - 2..\n   * - 142\n     - I41/acd\n     - 16c\n     - -1\n   * - 142\n     - I41/acd\n     - 8b\n     - 2.22\n   * - 142\n     - I41/acd\n     - 8a\n     - -4..\n   * - 143\n     - P3\n     - 3d\n     - 1\n   * - 143\n     - P3\n     - 1c\n     - 3..\n   * - 143\n     - P3\n     - 1b\n     - 3..\n   * - 143\n     - P3\n     - 1a\n     - 3..\n   * - 144\n     - P31\n     - 3a\n     - 1\n   * - 145\n     - P32\n     - 3a\n     - 1\n   * - 146\n     - R3\n     - 9b\n     - 1\n   * - 146\n     - R3\n     - 3a\n     - 3.\\\n   * - 147\n     - P-3\n     - 6g\n     - 1\n   * - 147\n     - P-3\n     - 3f\n     - -1\n   * - 147\n     - P-3\n     - 3e\n     - -1\n   * - 147\n     - P-3\n     - 2d\n     - 3..\n   * - 147\n     - P-3\n     - 2c\n     - 3..\n   * - 147\n     - P-3\n     - 1b\n     - -3..\n   * - 147\n     - P-3\n     - 1a\n     - -3..\n   * - 148\n     - R-3\n     - 18f\n     - 1\n   * - 148\n     - R-3\n     - 9e\n     - -1\n   * - 148\n     - R-3\n     - 9d\n     - -1\n   * - 148\n     - R-3\n     - 6c\n     - 3.\\\n   * - 148\n     - R-3\n     - 3b\n     - -3.\n   * - 148\n     - R-3\n     - 3a\n     - -3.\n   * - 149\n     - P312\n     - 6l\n     - 1\n   * - 149\n     - P312\n     - 3k\n     - ..2\n   * - 149\n     - P312\n     - 3j\n     - ..2\n   * - 149\n     - P312\n     - 2i\n     - 3..\n   * - 149\n     - P312\n     - 2h\n     - 3..\n   * - 149\n     - P312\n     - 2g\n     - 3..\n   * - 149\n     - P312\n     - 1f\n     - 3.2\n   * - 149\n     - P312\n     - 1e\n     - 3.2\n   * - 149\n     - P312\n     - 1d\n     - 3.2\n   * - 149\n     - P312\n     - 1c\n     - 3.2\n   * - 149\n     - P312\n     - 1b\n     - 3.2\n   * - 149\n     - P312\n     - 1a\n     - 3.2\n   * - 150\n     - P321\n     - 6g\n     - 1\n   * - 150\n     - P321\n     - 3f\n     - .2.\n   * - 150\n     - P321\n     - 3e\n     - .2.\n   * - 150\n     - P321\n     - 2d\n     - 3..\n   * - 150\n     - P321\n     - 2c\n     - 3..\n   * - 150\n     - P321\n     - 1b\n     - 32.\\\n   * - 150\n     - P321\n     - 1a\n     - 32.\\\n   * - 151\n     - P3112\n     - 6c\n     - 1\n   * - 151\n     - P3112\n     - 3b\n     - ..2\n   * - 151\n     - P3112\n     - 3a\n     - ..2\n   * - 152\n     - P3121\n     - 6c\n     - 1\n   * - 152\n     - P3121\n     - 3b\n     - .2.\n   * - 152\n     - P3121\n     - 3a\n     - .2.\n   * - 153\n     - P3212\n     - 6c\n     - 1\n   * - 153\n     - P3212\n     - 3b\n     - ..2\n   * - 153\n     - P3212\n     - 3a\n     - ..2\n   * - 154\n     - P3221\n     - 6c\n     - 1\n   * - 154\n     - P3221\n     - 3b\n     - .2.\n   * - 154\n     - P3221\n     - 3a\n     - .2.\n   * - 155\n     - R32\n     - 18f\n     - 1\n   * - 155\n     - R32\n     - 9e\n     - .2\n   * - 155\n     - R32\n     - 9d\n     - .2\n   * - 155\n     - R32\n     - 6c\n     - 3.\\\n   * - 155\n     - R32\n     - 3b\n     - 32\n   * - 155\n     - R32\n     - 3a\n     - 32\n   * - 156\n     - P3m1\n     - 6e\n     - 1\n   * - 156\n     - P3m1\n     - 3d\n     - .m.\n   * - 156\n     - P3m1\n     - 1c\n     - 3m.\n   * - 156\n     - P3m1\n     - 1b\n     - 3m.\n   * - 156\n     - P3m1\n     - 1a\n     - 3m.\n   * - 157\n     - P31m\n     - 6d\n     - 1\n   * - 157\n     - P31m\n     - 3c\n     - ..m\n   * - 157\n     - P31m\n     - 2b\n     - 3..\n   * - 157\n     - P31m\n     - 1a\n     - 3.m\n   * - 158\n     - P3c1\n     - 6d\n     - 1\n   * - 158\n     - P3c1\n     - 2c\n     - 3..\n   * - 158\n     - P3c1\n     - 2b\n     - 3..\n   * - 158\n     - P3c1\n     - 2a\n     - 3..\n   * - 159\n     - P31c\n     - 6c\n     - 1\n   * - 159\n     - P31c\n     - 2b\n     - 3..\n   * - 159\n     - P31c\n     - 2a\n     - 3..\n   * - 160\n     - R3m\n     - 18c\n     - 1\n   * - 160\n     - R3m\n     - 9b\n     - .m\n   * - 160\n     - R3m\n     - 3a\n     - 3m\n   * - 161\n     - R3c\n     - 18b\n     - 1\n   * - 161\n     - R3c\n     - 6a\n     - 3.\\\n   * - 162\n     - P-31m\n     - 12l\n     - 1\n   * - 162\n     - P-31m\n     - 6k\n     - ..m\n   * - 162\n     - P-31m\n     - 6j\n     - ..2\n   * - 162\n     - P-31m\n     - 6i\n     - ..2\n   * - 162\n     - P-31m\n     - 4h\n     - 3..\n   * - 162\n     - P-31m\n     - 3g\n     - ..2/m\n   * - 162\n     - P-31m\n     - 3f\n     - ..2/m\n   * - 162\n     - P-31m\n     - 2e\n     - 3.m\n   * - 162\n     - P-31m\n     - 2d\n     - 3.2\n   * - 162\n     - P-31m\n     - 2c\n     - 3.2\n   * - 162\n     - P-31m\n     - 1b\n     - -3.m\n   * - 162\n     - P-31m\n     - 1a\n     - -3.m\n   * - 163\n     - P-31c\n     - 12i\n     - 1\n   * - 163\n     - P-31c\n     - 6h\n     - ..2\n   * - 163\n     - P-31c\n     - 6g\n     - -1\n   * - 163\n     - P-31c\n     - 4f\n     - 3..\n   * - 163\n     - P-31c\n     - 4e\n     - 3..\n   * - 163\n     - P-31c\n     - 2d\n     - 3.2\n   * - 163\n     - P-31c\n     - 2c\n     - 3.2\n   * - 163\n     - P-31c\n     - 2b\n     - -3..\n   * - 163\n     - P-31c\n     - 2a\n     - 3.2\n   * - 164\n     - P-3m1\n     - 12j\n     - 1\n   * - 164\n     - P-3m1\n     - 6i\n     - .m.\n   * - 164\n     - P-3m1\n     - 6h\n     - .2.\n   * - 164\n     - P-3m1\n     - 6g\n     - .2.\n   * - 164\n     - P-3m1\n     - 3f\n     - .2/m.\n   * - 164\n     - P-3m1\n     - 3e\n     - .2/m.\n   * - 164\n     - P-3m1\n     - 2d\n     - 3m.\n   * - 164\n     - P-3m1\n     - 2c\n     - 3m.\n   * - 164\n     - P-3m1\n     - 1b\n     - -3m.\n   * - 164\n     - P-3m1\n     - 1a\n     - -3m.\n   * - 165\n     - P-3c1\n     - 12g\n     - 1\n   * - 165\n     - P-3c1\n     - 6f\n     - .2.\n   * - 165\n     - P-3c1\n     - 6e\n     - -1\n   * - 165\n     - P-3c1\n     - 4d\n     - 3..\n   * - 165\n     - P-3c1\n     - 4c\n     - 3..\n   * - 165\n     - P-3c1\n     - 2b\n     - -3..\n   * - 165\n     - P-3c1\n     - 2a\n     - 32.\\\n   * - 166\n     - R-3m\n     - 36i\n     - 1\n   * - 166\n     - R-3m\n     - 18h\n     - .m\n   * - 166\n     - R-3m\n     - 18g\n     - .2\n   * - 166\n     - R-3m\n     - 18f\n     - .2\n   * - 166\n     - R-3m\n     - 9e\n     - .2/m\n   * - 166\n     - R-3m\n     - 9d\n     - .2/m\n   * - 166\n     - R-3m\n     - 6c\n     - 3m\n   * - 166\n     - R-3m\n     - 3b\n     - -3m\n   * - 166\n     - R-3m\n     - 3a\n     - -3m\n   * - 167\n     - R-3c\n     - 36f\n     - 1\n   * - 167\n     - R-3c\n     - 18e\n     - .2\n   * - 167\n     - R-3c\n     - 18d\n     - -1\n   * - 167\n     - R-3c\n     - 12c\n     - 3.\\\n   * - 167\n     - R-3c\n     - 6b\n     - -3.\n   * - 167\n     - R-3c\n     - 6a\n     - 32\n   * - 168\n     - P6\n     - 6d\n     - 1\n   * - 168\n     - P6\n     - 3c\n     - 2..\n   * - 168\n     - P6\n     - 2b\n     - 3..\n   * - 168\n     - P6\n     - 1a\n     - 6..\n   * - 169\n     - P61\n     - 6a\n     - 1\n   * - 170\n     - P65\n     - 6a\n     - 1\n   * - 171\n     - P62\n     - 6c\n     - 1\n   * - 171\n     - P62\n     - 3b\n     - 2..\n   * - 171\n     - P62\n     - 3a\n     - 2..\n   * - 172\n     - P64\n     - 6c\n     - 1\n   * - 172\n     - P64\n     - 3b\n     - 2..\n   * - 172\n     - P64\n     - 3a\n     - 2..\n   * - 173\n     - P63\n     - 6c\n     - 1\n   * - 173\n     - P63\n     - 2b\n     - 3..\n   * - 173\n     - P63\n     - 2a\n     - 3..\n   * - 174\n     - P-6\n     - 6l\n     - 1\n   * - 174\n     - P-6\n     - 3k\n     - m..\n   * - 174\n     - P-6\n     - 3j\n     - m..\n   * - 174\n     - P-6\n     - 2i\n     - 3..\n   * - 174\n     - P-6\n     - 2h\n     - 3..\n   * - 174\n     - P-6\n     - 2g\n     - 3..\n   * - 174\n     - P-6\n     - 1f\n     - -6..\n   * - 174\n     - P-6\n     - 1e\n     - -6..\n   * - 174\n     - P-6\n     - 1d\n     - -6..\n   * - 174\n     - P-6\n     - 1c\n     - -6..\n   * - 174\n     - P-6\n     - 1b\n     - -6..\n   * - 174\n     - P-6\n     - 1a\n     - -6..\n   * - 175\n     - P6/m\n     - 12l\n     - 1\n   * - 175\n     - P6/m\n     - 6k\n     - m..\n   * - 175\n     - P6/m\n     - 6j\n     - m..\n   * - 175\n     - P6/m\n     - 6i\n     - 2..\n   * - 175\n     - P6/m\n     - 4h\n     - 3..\n   * - 175\n     - P6/m\n     - 3g\n     - 2/m..\n   * - 175\n     - P6/m\n     - 3f\n     - 2/m..\n   * - 175\n     - P6/m\n     - 2e\n     - 6..\n   * - 175\n     - P6/m\n     - 2d\n     - -6..\n   * - 175\n     - P6/m\n     - 2c\n     - -6..\n   * - 175\n     - P6/m\n     - 1b\n     - 6/m..\n   * - 175\n     - P6/m\n     - 1a\n     - 6/m..\n   * - 176\n     - P63/m\n     - 12i\n     - 1\n   * - 176\n     - P63/m\n     - 6h\n     - m..\n   * - 176\n     - P63/m\n     - 6g\n     - -1\n   * - 176\n     - P63/m\n     - 4f\n     - 3..\n   * - 176\n     - P63/m\n     - 4e\n     - 3..\n   * - 176\n     - P63/m\n     - 2d\n     - -6..\n   * - 176\n     - P63/m\n     - 2c\n     - -6..\n   * - 176\n     - P63/m\n     - 2b\n     - -3..\n   * - 176\n     - P63/m\n     - 2a\n     - -6..\n   * - 177\n     - P622\n     - 12n\n     - 1\n   * - 177\n     - P622\n     - 6m\n     - ..2\n   * - 177\n     - P622\n     - 6l\n     - ..2\n   * - 177\n     - P622\n     - 6k\n     - .2.\n   * - 177\n     - P622\n     - 6j\n     - .2.\n   * - 177\n     - P622\n     - 6i\n     - 2..\n   * - 177\n     - P622\n     - 4h\n     - 3..\n   * - 177\n     - P622\n     - 3g\n     - 222\n   * - 177\n     - P622\n     - 3f\n     - 222\n   * - 177\n     - P622\n     - 2e\n     - 6..\n   * - 177\n     - P622\n     - 2d\n     - 3.2\n   * - 177\n     - P622\n     - 2c\n     - 3.2\n   * - 177\n     - P622\n     - 1b\n     - 622\n   * - 177\n     - P622\n     - 1a\n     - 622\n   * - 178\n     - P6122\n     - 12c\n     - 1\n   * - 178\n     - P6122\n     - 6b\n     - ..2\n   * - 178\n     - P6122\n     - 6a\n     - .2.\n   * - 179\n     - P6522\n     - 12c\n     - 1\n   * - 179\n     - P6522\n     - 6b\n     - ..2\n   * - 179\n     - P6522\n     - 6a\n     - .2.\n   * - 180\n     - P6222\n     - 12k\n     - 1\n   * - 180\n     - P6222\n     - 6j\n     - ..2\n   * - 180\n     - P6222\n     - 6i\n     - ..2\n   * - 180\n     - P6222\n     - 6h\n     - .2.\n   * - 180\n     - P6222\n     - 6g\n     - .2.\n   * - 180\n     - P6222\n     - 6f\n     - 2..\n   * - 180\n     - P6222\n     - 6e\n     - 2..\n   * - 180\n     - P6222\n     - 3d\n     - 222\n   * - 180\n     - P6222\n     - 3c\n     - 222\n   * - 180\n     - P6222\n     - 3b\n     - 222\n   * - 180\n     - P6222\n     - 3a\n     - 222\n   * - 181\n     - P6422\n     - 12k\n     - 1\n   * - 181\n     - P6422\n     - 6j\n     - ..2\n   * - 181\n     - P6422\n     - 6i\n     - ..2\n   * - 181\n     - P6422\n     - 6h\n     - .2.\n   * - 181\n     - P6422\n     - 6g\n     - .2.\n   * - 181\n     - P6422\n     - 6f\n     - 2..\n   * - 181\n     - P6422\n     - 6e\n     - 2..\n   * - 181\n     - P6422\n     - 3d\n     - 222\n   * - 181\n     - P6422\n     - 3c\n     - 222\n   * - 181\n     - P6422\n     - 3b\n     - 222\n   * - 181\n     - P6422\n     - 3a\n     - 222\n   * - 182\n     - P6322\n     - 12i\n     - 1\n   * - 182\n     - P6322\n     - 6h\n     - ..2\n   * - 182\n     - P6322\n     - 6g\n     - .2.\n   * - 182\n     - P6322\n     - 4f\n     - 3..\n   * - 182\n     - P6322\n     - 4e\n     - 3..\n   * - 182\n     - P6322\n     - 2d\n     - 3.2\n   * - 182\n     - P6322\n     - 2c\n     - 3.2\n   * - 182\n     - P6322\n     - 2b\n     - 3.2\n   * - 182\n     - P6322\n     - 2a\n     - 32.\\\n   * - 183\n     - P6mm\n     - 12f\n     - 1\n   * - 183\n     - P6mm\n     - 6e\n     - .m.\n   * - 183\n     - P6mm\n     - 6d\n     - ..m\n   * - 183\n     - P6mm\n     - 3c\n     - 2mm\n   * - 183\n     - P6mm\n     - 2b\n     - 3m.\n   * - 183\n     - P6mm\n     - 1a\n     - 6mm\n   * - 184\n     - P6cc\n     - 12d\n     - 1\n   * - 184\n     - P6cc\n     - 6c\n     - 2..\n   * - 184\n     - P6cc\n     - 4b\n     - 3..\n   * - 184\n     - P6cc\n     - 2a\n     - 6..\n   * - 185\n     - P63cm\n     - 12d\n     - 1\n   * - 185\n     - P63cm\n     - 6c\n     - ..m\n   * - 185\n     - P63cm\n     - 4b\n     - 3..\n   * - 185\n     - P63cm\n     - 2a\n     - 3.m\n   * - 186\n     - P63mc\n     - 12d\n     - 1\n   * - 186\n     - P63mc\n     - 6c\n     - .m.\n   * - 186\n     - P63mc\n     - 2b\n     - 3m.\n   * - 186\n     - P63mc\n     - 2a\n     - 3m.\n   * - 187\n     - P-6m2\n     - 12o\n     - 1\n   * - 187\n     - P-6m2\n     - 6n\n     - .m.\n   * - 187\n     - P-6m2\n     - 6m\n     - m..\n   * - 187\n     - P-6m2\n     - 6l\n     - m..\n   * - 187\n     - P-6m2\n     - 3k\n     - mm2\n   * - 187\n     - P-6m2\n     - 3j\n     - mm2\n   * - 187\n     - P-6m2\n     - 2i\n     - 3m.\n   * - 187\n     - P-6m2\n     - 2h\n     - 3m.\n   * - 187\n     - P-6m2\n     - 2g\n     - 3m.\n   * - 187\n     - P-6m2\n     - 1f\n     - -6m2\n   * - 187\n     - P-6m2\n     - 1e\n     - -6m2\n   * - 187\n     - P-6m2\n     - 1d\n     - -6m2\n   * - 187\n     - P-6m2\n     - 1c\n     - -6m2\n   * - 187\n     - P-6m2\n     - 1b\n     - -6m2\n   * - 187\n     - P-6m2\n     - 1a\n     - -6m2\n   * - 188\n     - P-6c2\n     - 12l\n     - 1\n   * - 188\n     - P-6c2\n     - 6k\n     - m..\n   * - 188\n     - P-6c2\n     - 6j\n     - ..2\n   * - 188\n     - P-6c2\n     - 4i\n     - 3..\n   * - 188\n     - P-6c2\n     - 4h\n     - 3..\n   * - 188\n     - P-6c2\n     - 4g\n     - 3..\n   * - 188\n     - P-6c2\n     - 2f\n     - -6..\n   * - 188\n     - P-6c2\n     - 2e\n     - 3.2\n   * - 188\n     - P-6c2\n     - 2d\n     - -6..\n   * - 188\n     - P-6c2\n     - 2c\n     - 3.2\n   * - 188\n     - P-6c2\n     - 2b\n     - -6..\n   * - 188\n     - P-6c2\n     - 2a\n     - 3.2\n   * - 189\n     - P-62m\n     - 12l\n     - 1\n   * - 189\n     - P-62m\n     - 6k\n     - m..\n   * - 189\n     - P-62m\n     - 6j\n     - m..\n   * - 189\n     - P-62m\n     - 6i\n     - ..m\n   * - 189\n     - P-62m\n     - 4h\n     - 3..\n   * - 189\n     - P-62m\n     - 3g\n     - m2m\n   * - 189\n     - P-62m\n     - 3f\n     - m2m\n   * - 189\n     - P-62m\n     - 2e\n     - 3.m\n   * - 189\n     - P-62m\n     - 2d\n     - -6..\n   * - 189\n     - P-62m\n     - 2c\n     - -6..\n   * - 189\n     - P-62m\n     - 1b\n     - -62m\n   * - 189\n     - P-62m\n     - 1a\n     - -62m\n   * - 190\n     - P-62c\n     - 12i\n     - 1\n   * - 190\n     - P-62c\n     - 6h\n     - m..\n   * - 190\n     - P-62c\n     - 6g\n     - .2.\n   * - 190\n     - P-62c\n     - 4f\n     - 3..\n   * - 190\n     - P-62c\n     - 4e\n     - 3..\n   * - 190\n     - P-62c\n     - 2d\n     - -6..\n   * - 190\n     - P-62c\n     - 2c\n     - -6..\n   * - 190\n     - P-62c\n     - 2b\n     - -6..\n   * - 190\n     - P-62c\n     - 2a\n     - 32.\\\n   * - 191\n     - P6/mmm\n     - 24r\n     - 1\n   * - 191\n     - P6/mmm\n     - 12q\n     - m..\n   * - 191\n     - P6/mmm\n     - 12p\n     - m..\n   * - 191\n     - P6/mmm\n     - 12o\n     - .m.\n   * - 191\n     - P6/mmm\n     - 12n\n     - ..m\n   * - 191\n     - P6/mmm\n     - 6m\n     - mm2\n   * - 191\n     - P6/mmm\n     - 6l\n     - mm2\n   * - 191\n     - P6/mmm\n     - 6k\n     - m2m\n   * - 191\n     - P6/mmm\n     - 6j\n     - m2m\n   * - 191\n     - P6/mmm\n     - 6i\n     - 2mm\n   * - 191\n     - P6/mmm\n     - 4h\n     - 3m.\n   * - 191\n     - P6/mmm\n     - 3g\n     - mmm\n   * - 191\n     - P6/mmm\n     - 3f\n     - mmm\n   * - 191\n     - P6/mmm\n     - 2e\n     - 6mm\n   * - 191\n     - P6/mmm\n     - 2d\n     - -6m2\n   * - 191\n     - P6/mmm\n     - 2c\n     - -6m2\n   * - 191\n     - P6/mmm\n     - 1b\n     - 6/mmm\n   * - 191\n     - P6/mmm\n     - 1a\n     - 6/mmm\n   * - 192\n     - P6/mcc\n     - 24m\n     - 1\n   * - 192\n     - P6/mcc\n     - 12l\n     - m..\n   * - 192\n     - P6/mcc\n     - 12k\n     - ..2\n   * - 192\n     - P6/mcc\n     - 12j\n     - .2.\n   * - 192\n     - P6/mcc\n     - 12i\n     - 2..\n   * - 192\n     - P6/mcc\n     - 8h\n     - 3..\n   * - 192\n     - P6/mcc\n     - 6g\n     - 2/m..\n   * - 192\n     - P6/mcc\n     - 6f\n     - 222\n   * - 192\n     - P6/mcc\n     - 4e\n     - 6..\n   * - 192\n     - P6/mcc\n     - 4d\n     - -6..\n   * - 192\n     - P6/mcc\n     - 4c\n     - 3.2\n   * - 192\n     - P6/mcc\n     - 2b\n     - 6/m..\n   * - 192\n     - P6/mcc\n     - 2a\n     - 622\n   * - 193\n     - P63/mcm\n     - 24l\n     - 1\n   * - 193\n     - P63/mcm\n     - 12k\n     - ..m\n   * - 193\n     - P63/mcm\n     - 12j\n     - m..\n   * - 193\n     - P63/mcm\n     - 12i\n     - ..2\n   * - 193\n     - P63/mcm\n     - 8h\n     - 3..\n   * - 193\n     - P63/mcm\n     - 6g\n     - m2m\n   * - 193\n     - P63/mcm\n     - 6f\n     - ..2/m\n   * - 193\n     - P63/mcm\n     - 4e\n     - 3.m\n   * - 193\n     - P63/mcm\n     - 4d\n     - 3.2\n   * - 193\n     - P63/mcm\n     - 4c\n     - -6..\n   * - 193\n     - P63/mcm\n     - 2b\n     - -3.m\n   * - 193\n     - P63/mcm\n     - 2a\n     - -62m\n   * - 194\n     - P63/mmc\n     - 24l\n     - 1\n   * - 194\n     - P63/mmc\n     - 12k\n     - .m.\n   * - 194\n     - P63/mmc\n     - 12j\n     - m..\n   * - 194\n     - P63/mmc\n     - 12i\n     - .2.\n   * - 194\n     - P63/mmc\n     - 6h\n     - mm2\n   * - 194\n     - P63/mmc\n     - 6g\n     - .2/m.\n   * - 194\n     - P63/mmc\n     - 4f\n     - 3m.\n   * - 194\n     - P63/mmc\n     - 4e\n     - 3m.\n   * - 194\n     - P63/mmc\n     - 2d\n     - -6m2\n   * - 194\n     - P63/mmc\n     - 2c\n     - -6m2\n   * - 194\n     - P63/mmc\n     - 2b\n     - -6m2\n   * - 194\n     - P63/mmc\n     - 2a\n     - -3m.\n   * - 195\n     - P23\n     - 12j\n     - 1\n   * - 195\n     - P23\n     - 6i\n     - 2..\n   * - 195\n     - P23\n     - 6h\n     - 2..\n   * - 195\n     - P23\n     - 6g\n     - 2..\n   * - 195\n     - P23\n     - 6f\n     - 2..\n   * - 195\n     - P23\n     - 4e\n     - .3.\n   * - 195\n     - P23\n     - 3d\n     - 222..\n   * - 195\n     - P23\n     - 3c\n     - 222..\n   * - 195\n     - P23\n     - 1b\n     - 23.\\\n   * - 195\n     - P23\n     - 1a\n     - 23.\\\n   * - 196\n     - F23\n     - 48h\n     - 1\n   * - 196\n     - F23\n     - 24g\n     - 2..\n   * - 196\n     - F23\n     - 24f\n     - 2..\n   * - 196\n     - F23\n     - 16e\n     - .3.\n   * - 196\n     - F23\n     - 4d\n     - 23.\\\n   * - 196\n     - F23\n     - 4c\n     - 23.\\\n   * - 196\n     - F23\n     - 4b\n     - 23.\\\n   * - 196\n     - F23\n     - 4a\n     - 23.\\\n   * - 197\n     - I23\n     - 24f\n     - 1\n   * - 197\n     - I23\n     - 12e\n     - 2..\n   * - 197\n     - I23\n     - 12d\n     - 2..\n   * - 197\n     - I23\n     - 8c\n     - .3.\n   * - 197\n     - I23\n     - 6b\n     - 222..\n   * - 197\n     - I23\n     - 2a\n     - 23.\\\n   * - 198\n     - P213\n     - 12b\n     - 1\n   * - 198\n     - P213\n     - 4a\n     - .3.\n   * - 199\n     - I213\n     - 24c\n     - 1\n   * - 199\n     - I213\n     - 12b\n     - 2..\n   * - 199\n     - I213\n     - 8a\n     - .3.\n   * - 200\n     - Pm-3\n     - 24l\n     - 1\n   * - 200\n     - Pm-3\n     - 12k\n     - m..\n   * - 200\n     - Pm-3\n     - 12j\n     - m..\n   * - 200\n     - Pm-3\n     - 8i\n     - .3.\n   * - 200\n     - Pm-3\n     - 6h\n     - mm2..\n   * - 200\n     - Pm-3\n     - 6g\n     - mm2..\n   * - 200\n     - Pm-3\n     - 6f\n     - mm2..\n   * - 200\n     - Pm-3\n     - 6e\n     - mm2..\n   * - 200\n     - Pm-3\n     - 3d\n     - mmm..\n   * - 200\n     - Pm-3\n     - 3c\n     - mmm..\n   * - 200\n     - Pm-3\n     - 1b\n     - m-3.\n   * - 200\n     - Pm-3\n     - 1a\n     - m-3.\n   * - 201\n     - Pn-3\n     - 24h\n     - 1\n   * - 201\n     - Pn-3\n     - 12g\n     - 2..\n   * - 201\n     - Pn-3\n     - 12f\n     - 2..\n   * - 201\n     - Pn-3\n     - 8e\n     - .3.\n   * - 201\n     - Pn-3\n     - 6d\n     - 222..\n   * - 201\n     - Pn-3\n     - 4c\n     - .-3.\n   * - 201\n     - Pn-3\n     - 4b\n     - .-3.\n   * - 201\n     - Pn-3\n     - 2a\n     - 23.\\\n   * - 202\n     - Fm-3\n     - 96i\n     - 1\n   * - 202\n     - Fm-3\n     - 48h\n     - m..\n   * - 202\n     - Fm-3\n     - 48g\n     - 2..\n   * - 202\n     - Fm-3\n     - 32f\n     - .3.\n   * - 202\n     - Fm-3\n     - 24e\n     - mm2..\n   * - 202\n     - Fm-3\n     - 24d\n     - 2/m..\n   * - 202\n     - Fm-3\n     - 8c\n     - 23.\\\n   * - 202\n     - Fm-3\n     - 4b\n     - m-3.\n   * - 202\n     - Fm-3\n     - 4a\n     - m-3.\n   * - 203\n     - Fd-3\n     - 96g\n     - 1\n   * - 203\n     - Fd-3\n     - 48f\n     - 2..\n   * - 203\n     - Fd-3\n     - 32e\n     - .3.\n   * - 203\n     - Fd-3\n     - 16d\n     - .-3.\n   * - 203\n     - Fd-3\n     - 16c\n     - .-3.\n   * - 203\n     - Fd-3\n     - 8b\n     - 23.\\\n   * - 203\n     - Fd-3\n     - 8a\n     - 23.\\\n   * - 204\n     - Im-3\n     - 48h\n     - 1\n   * - 204\n     - Im-3\n     - 24g\n     - m..\n   * - 204\n     - Im-3\n     - 16f\n     - .3.\n   * - 204\n     - Im-3\n     - 12e\n     - mm2..\n   * - 204\n     - Im-3\n     - 12d\n     - mm2..\n   * - 204\n     - Im-3\n     - 8c\n     - .-3.\n   * - 204\n     - Im-3\n     - 6b\n     - mmm..\n   * - 204\n     - Im-3\n     - 2a\n     - m-3.\n   * - 205\n     - Pa-3\n     - 24d\n     - 1\n   * - 205\n     - Pa-3\n     - 8c\n     - .3.\n   * - 205\n     - Pa-3\n     - 4b\n     - .-3.\n   * - 205\n     - Pa-3\n     - 4a\n     - .-3.\n   * - 206\n     - Ia-3\n     - 48e\n     - 1\n   * - 206\n     - Ia-3\n     - 24d\n     - 2..\n   * - 206\n     - Ia-3\n     - 16c\n     - .3.\n   * - 206\n     - Ia-3\n     - 8b\n     - .-3.\n   * - 206\n     - Ia-3\n     - 8a\n     - .-3.\n   * - 207\n     - P432\n     - 24k\n     - 1\n   * - 207\n     - P432\n     - 12j\n     - ..2\n   * - 207\n     - P432\n     - 12i\n     - ..2\n   * - 207\n     - P432\n     - 12h\n     - 2..\n   * - 207\n     - P432\n     - 8g\n     - .3.\n   * - 207\n     - P432\n     - 6f\n     - 4..\n   * - 207\n     - P432\n     - 6e\n     - 4..\n   * - 207\n     - P432\n     - 3d\n     - 42.2\n   * - 207\n     - P432\n     - 3c\n     - 42.2\n   * - 207\n     - P432\n     - 1b\n     - 432\n   * - 207\n     - P432\n     - 1a\n     - 432\n   * - 208\n     - P4232\n     - 24m\n     - 1\n   * - 208\n     - P4232\n     - 12l\n     - ..2\n   * - 208\n     - P4232\n     - 12k\n     - ..2\n   * - 208\n     - P4232\n     - 12j\n     - 2..\n   * - 208\n     - P4232\n     - 12i\n     - 2..\n   * - 208\n     - P4232\n     - 12h\n     - 2..\n   * - 208\n     - P4232\n     - 8g\n     - .3.\n   * - 208\n     - P4232\n     - 6f\n     - 2.22\n   * - 208\n     - P4232\n     - 6e\n     - 2.22\n   * - 208\n     - P4232\n     - 6d\n     - 222..\n   * - 208\n     - P4232\n     - 4c\n     - .32\n   * - 208\n     - P4232\n     - 4b\n     - .32\n   * - 208\n     - P4232\n     - 2a\n     - 23.\\\n   * - 209\n     - F432\n     - 96j\n     - 1\n   * - 209\n     - F432\n     - 48i\n     - 2..\n   * - 209\n     - F432\n     - 48h\n     - ..2\n   * - 209\n     - F432\n     - 48g\n     - ..2\n   * - 209\n     - F432\n     - 32f\n     - .3.\n   * - 209\n     - F432\n     - 24e\n     - 4..\n   * - 209\n     - F432\n     - 24d\n     - 2.22\n   * - 209\n     - F432\n     - 8c\n     - 23.\\\n   * - 209\n     - F432\n     - 4b\n     - 432\n   * - 209\n     - F432\n     - 4a\n     - 432\n   * - 210\n     - F4132\n     - 96h\n     - 1\n   * - 210\n     - F4132\n     - 48g\n     - ..2\n   * - 210\n     - F4132\n     - 48f\n     - 2..\n   * - 210\n     - F4132\n     - 32e\n     - .3.\n   * - 210\n     - F4132\n     - 16d\n     - .32\n   * - 210\n     - F4132\n     - 16c\n     - .32\n   * - 210\n     - F4132\n     - 8b\n     - 23.\\\n   * - 210\n     - F4132\n     - 8a\n     - 23.\\\n   * - 211\n     - I432\n     - 48j\n     - 1\n   * - 211\n     - I432\n     - 24i\n     - ..2\n   * - 211\n     - I432\n     - 24h\n     - ..2\n   * - 211\n     - I432\n     - 24g\n     - 2..\n   * - 211\n     - I432\n     - 16f\n     - .3.\n   * - 211\n     - I432\n     - 12e\n     - 4..\n   * - 211\n     - I432\n     - 12d\n     - 2.22\n   * - 211\n     - I432\n     - 8c\n     - .32\n   * - 211\n     - I432\n     - 6b\n     - 42.2\n   * - 211\n     - I432\n     - 2a\n     - 432\n   * - 212\n     - P4332\n     - 24e\n     - 1\n   * - 212\n     - P4332\n     - 12d\n     - ..2\n   * - 212\n     - P4332\n     - 8c\n     - .3.\n   * - 212\n     - P4332\n     - 4b\n     - .32\n   * - 212\n     - P4332\n     - 4a\n     - .32\n   * - 213\n     - P4132\n     - 24e\n     - 1\n   * - 213\n     - P4132\n     - 12d\n     - ..2\n   * - 213\n     - P4132\n     - 8c\n     - .3.\n   * - 213\n     - P4132\n     - 4b\n     - .32\n   * - 213\n     - P4132\n     - 4a\n     - .32\n   * - 214\n     - I4132\n     - 48i\n     - 1\n   * - 214\n     - I4132\n     - 24h\n     - ..2\n   * - 214\n     - I4132\n     - 24g\n     - ..2\n   * - 214\n     - I4132\n     - 24f\n     - 2..\n   * - 214\n     - I4132\n     - 16e\n     - .3.\n   * - 214\n     - I4132\n     - 12d\n     - 2.22\n   * - 214\n     - I4132\n     - 12c\n     - 2.22\n   * - 214\n     - I4132\n     - 8b\n     - .32\n   * - 214\n     - I4132\n     - 8a\n     - .32\n   * - 215\n     - P-43m\n     - 24j\n     - 1\n   * - 215\n     - P-43m\n     - 12i\n     - ..m\n   * - 215\n     - P-43m\n     - 12h\n     - 2..\n   * - 215\n     - P-43m\n     - 6g\n     - 2.mm\n   * - 215\n     - P-43m\n     - 6f\n     - 2.mm\n   * - 215\n     - P-43m\n     - 4e\n     - .3m\n   * - 215\n     - P-43m\n     - 3d\n     - -42.m\n   * - 215\n     - P-43m\n     - 3c\n     - -42.m\n   * - 215\n     - P-43m\n     - 1b\n     - -43m\n   * - 215\n     - P-43m\n     - 1a\n     - -43m\n   * - 216\n     - F-43m\n     - 96i\n     - 1\n   * - 216\n     - F-43m\n     - 48h\n     - ..m\n   * - 216\n     - F-43m\n     - 24g\n     - 2.mm\n   * - 216\n     - F-43m\n     - 24f\n     - 2.mm\n   * - 216\n     - F-43m\n     - 16e\n     - .3m\n   * - 216\n     - F-43m\n     - 4d\n     - -43m\n   * - 216\n     - F-43m\n     - 4c\n     - -43m\n   * - 216\n     - F-43m\n     - 4b\n     - -43m\n   * - 216\n     - F-43m\n     - 4a\n     - -43m\n   * - 217\n     - I-43m\n     - 48h\n     - 1\n   * - 217\n     - I-43m\n     - 24g\n     - ..m\n   * - 217\n     - I-43m\n     - 24f\n     - 2..\n   * - 217\n     - I-43m\n     - 12e\n     - 2.mm\n   * - 217\n     - I-43m\n     - 12d\n     - -4..\n   * - 217\n     - I-43m\n     - 8c\n     - .3m\n   * - 217\n     - I-43m\n     - 6b\n     - -42.m\n   * - 217\n     - I-43m\n     - 2a\n     - -43m\n   * - 218\n     - P-43n\n     - 24i\n     - 1\n   * - 218\n     - P-43n\n     - 12h\n     - 2..\n   * - 218\n     - P-43n\n     - 12g\n     - 2..\n   * - 218\n     - P-43n\n     - 12f\n     - 2..\n   * - 218\n     - P-43n\n     - 8e\n     - .3.\n   * - 218\n     - P-43n\n     - 6d\n     - -4..\n   * - 218\n     - P-43n\n     - 6c\n     - -4..\n   * - 218\n     - P-43n\n     - 6b\n     - 222..\n   * - 218\n     - P-43n\n     - 2a\n     - 23.\\\n   * - 219\n     - F-43c\n     - 96h\n     - 1\n   * - 219\n     - F-43c\n     - 48g\n     - 2..\n   * - 219\n     - F-43c\n     - 48f\n     - 2..\n   * - 219\n     - F-43c\n     - 32e\n     - .3.\n   * - 219\n     - F-43c\n     - 24d\n     - -4..\n   * - 219\n     - F-43c\n     - 24c\n     - -4..\n   * - 219\n     - F-43c\n     - 8b\n     - 23.\\\n   * - 219\n     - F-43c\n     - 8a\n     - 23.\\\n   * - 220\n     - I-43d\n     - 48e\n     - 1\n   * - 220\n     - I-43d\n     - 24d\n     - 2..\n   * - 220\n     - I-43d\n     - 16c\n     - .3.\n   * - 220\n     - I-43d\n     - 12b\n     - -4..\n   * - 220\n     - I-43d\n     - 12a\n     - -4..\n   * - 221\n     - Pm-3m\n     - 48n\n     - 1\n   * - 221\n     - Pm-3m\n     - 24m\n     - ..m\n   * - 221\n     - Pm-3m\n     - 24l\n     - m..\n   * - 221\n     - Pm-3m\n     - 24k\n     - m..\n   * - 221\n     - Pm-3m\n     - 12j\n     - m.m2\n   * - 221\n     - Pm-3m\n     - 12i\n     - m.m2\n   * - 221\n     - Pm-3m\n     - 12h\n     - mm2..\n   * - 221\n     - Pm-3m\n     - 8g\n     - .3m\n   * - 221\n     - Pm-3m\n     - 6f\n     - 4m.m\n   * - 221\n     - Pm-3m\n     - 6e\n     - 4m.m\n   * - 221\n     - Pm-3m\n     - 3d\n     - 4/mm.m\n   * - 221\n     - Pm-3m\n     - 3c\n     - 4/mm.m\n   * - 221\n     - Pm-3m\n     - 1b\n     - m-3m\n   * - 221\n     - Pm-3m\n     - 1a\n     - m-3m\n   * - 222\n     - Pn-3n\n     - 48i\n     - 1\n   * - 222\n     - Pn-3n\n     - 24h\n     - ..2\n   * - 222\n     - Pn-3n\n     - 24g\n     - 2..\n   * - 222\n     - Pn-3n\n     - 16f\n     - .3.\n   * - 222\n     - Pn-3n\n     - 12e\n     - 4..\n   * - 222\n     - Pn-3n\n     - 12d\n     - -4..\n   * - 222\n     - Pn-3n\n     - 8c\n     - .-3.\n   * - 222\n     - Pn-3n\n     - 6b\n     - 42.2\n   * - 222\n     - Pn-3n\n     - 2a\n     - 432\n   * - 223\n     - Pm-3n\n     - 48l\n     - 1\n   * - 223\n     - Pm-3n\n     - 24k\n     - m..\n   * - 223\n     - Pm-3n\n     - 24j\n     - ..2\n   * - 223\n     - Pm-3n\n     - 16i\n     - .3.\n   * - 223\n     - Pm-3n\n     - 12h\n     - mm2..\n   * - 223\n     - Pm-3n\n     - 12g\n     - mm2..\n   * - 223\n     - Pm-3n\n     - 12f\n     - mm2..\n   * - 223\n     - Pm-3n\n     - 8e\n     - .32\n   * - 223\n     - Pm-3n\n     - 6d\n     - -4m.2\n   * - 223\n     - Pm-3n\n     - 6c\n     - -4m.2\n   * - 223\n     - Pm-3n\n     - 6b\n     - mmm..\n   * - 223\n     - Pm-3n\n     - 2a\n     - m-3.\n   * - 224\n     - Pn-3m\n     - 48l\n     - 1\n   * - 224\n     - Pn-3m\n     - 24k\n     - ..m\n   * - 224\n     - Pn-3m\n     - 24j\n     - ..2\n   * - 224\n     - Pn-3m\n     - 24i\n     - ..2\n   * - 224\n     - Pn-3m\n     - 24h\n     - 2..\n   * - 224\n     - Pn-3m\n     - 12g\n     - 2.mm\n   * - 224\n     - Pn-3m\n     - 12f\n     - 2.22\n   * - 224\n     - Pn-3m\n     - 8e\n     - .3m\n   * - 224\n     - Pn-3m\n     - 6d\n     - -42.m\n   * - 224\n     - Pn-3m\n     - 4c\n     - .-3m\n   * - 224\n     - Pn-3m\n     - 4b\n     - .-3m\n   * - 224\n     - Pn-3m\n     - 2a\n     - -43m\n   * - 225\n     - Fm-3m\n     - 192l\n     - 1\n   * - 225\n     - Fm-3m\n     - 96k\n     - ..m\n   * - 225\n     - Fm-3m\n     - 96j\n     - m..\n   * - 225\n     - Fm-3m\n     - 48i\n     - m.m2\n   * - 225\n     - Fm-3m\n     - 48h\n     - m.m2\n   * - 225\n     - Fm-3m\n     - 48g\n     - 2.mm\n   * - 225\n     - Fm-3m\n     - 32f\n     - .3m\n   * - 225\n     - Fm-3m\n     - 24e\n     - 4m.m\n   * - 225\n     - Fm-3m\n     - 24d\n     - m.mm\n   * - 225\n     - Fm-3m\n     - 8c\n     - -43m\n   * - 225\n     - Fm-3m\n     - 4b\n     - m-3m\n   * - 225\n     - Fm-3m\n     - 4a\n     - m-3m\n   * - 226\n     - Fm-3c\n     - 192j\n     - 1\n   * - 226\n     - Fm-3c\n     - 96i\n     - m..\n   * - 226\n     - Fm-3c\n     - 96h\n     - ..2\n   * - 226\n     - Fm-3c\n     - 64g\n     - .3.\n   * - 226\n     - Fm-3c\n     - 48f\n     - 4..\n   * - 226\n     - Fm-3c\n     - 48e\n     - mm2..\n   * - 226\n     - Fm-3c\n     - 24d\n     - 4/m..\n   * - 226\n     - Fm-3c\n     - 24c\n     - -4m.2\n   * - 226\n     - Fm-3c\n     - 8b\n     - m-3.\n   * - 226\n     - Fm-3c\n     - 8a\n     - 432\n   * - 227\n     - Fd-3m\n     - 192i\n     - 1\n   * - 227\n     - Fd-3m\n     - 96h\n     - ..2\n   * - 227\n     - Fd-3m\n     - 96g\n     - ..m\n   * - 227\n     - Fd-3m\n     - 48f\n     - 2.mm\n   * - 227\n     - Fd-3m\n     - 32e\n     - .3m\n   * - 227\n     - Fd-3m\n     - 16d\n     - .-3m\n   * - 227\n     - Fd-3m\n     - 16c\n     - .-3m\n   * - 227\n     - Fd-3m\n     - 8b\n     - -43m\n   * - 227\n     - Fd-3m\n     - 8a\n     - -43m\n   * - 228\n     - Fd-3c\n     - 192h\n     - 1\n   * - 228\n     - Fd-3c\n     - 96g\n     - ..2\n   * - 228\n     - Fd-3c\n     - 96f\n     - 2..\n   * - 228\n     - Fd-3c\n     - 64e\n     - .3.\n   * - 228\n     - Fd-3c\n     - 48d\n     - -4..\n   * - 228\n     - Fd-3c\n     - 32c\n     - .-3.\n   * - 228\n     - Fd-3c\n     - 32b\n     - .32\n   * - 228\n     - Fd-3c\n     - 16a\n     - 23.\\\n   * - 229\n     - Im-3m\n     - 96l\n     - 1\n   * - 229\n     - Im-3m\n     - 48k\n     - ..m\n   * - 229\n     - Im-3m\n     - 48j\n     - m..\n   * - 229\n     - Im-3m\n     - 48i\n     - ..2\n   * - 229\n     - Im-3m\n     - 24h\n     - m.m2\n   * - 229\n     - Im-3m\n     - 24g\n     - mm2..\n   * - 229\n     - Im-3m\n     - 16f\n     - .3m\n   * - 229\n     - Im-3m\n     - 12e\n     - 4m.m\n   * - 229\n     - Im-3m\n     - 12d\n     - -4m.2\n   * - 229\n     - Im-3m\n     - 8c\n     - .-3m\n   * - 229\n     - Im-3m\n     - 6b\n     - 4/mm.m\n   * - 229\n     - Im-3m\n     - 2a\n     - m-3m\n   * - 230\n     - Ia-3d\n     - 96h\n     - 1\n   * - 230\n     - Ia-3d\n     - 48g\n     - ..2\n   * - 230\n     - Ia-3d\n     - 48f\n     - 2..\n   * - 230\n     - Ia-3d\n     - 32e\n     - .3.\n   * - 230\n     - Ia-3d\n     - 24d\n     - -4..\n   * - 230\n     - Ia-3d\n     - 24c\n     - 2.22\n   * - 230\n     - Ia-3d\n     - 16b\n     - .32\n   * - 230\n     - Ia-3d\n     - 16a\n     - .-3.\n\nReferences\n----------\n\nFor the use of this function, please cite the following paper.\n\n::\n\n    @inproceedings{levy2024symmcd,\n    title={Symm{CD}: Symmetry-Preserving Crystal Generation with Diffusion Models},\n    author={Daniel Levy and Siba Smarak Panigrahi and S{\\'e}kou-Oumar Kaba and Qiang Zhu and Mikhail Galkin and Santiago Miret and Siamak Ravanbakhsh},\n    booktitle={AI for Accelerated Materials Design - NeurIPS 2024},\n    year={2024},\n    url={https://openreview.net/forum?id=V7x2KZQn2v}\n    }\n"
  },
  {
    "path": "doc/Usage.rst",
    "content": "PyXtal as a library\n===================\n\nWhile the PyXtal can be used in the command mode, it can become much more\npowerful with Python scripting. Here we describe the basic functionality of\nPyXtal as a Python Library. This tutorial aims to cover the following contents:\n\n- Built-in PyXtal tools\n- Crystal structure generation\n- Crystal structure manipulation\n\n\nAvailable Tools in PyXtal\n-------------------------\n\nPyXtal includes the following functions:\n\n- `Group <pyxtal.symmetry.html#pyxtal.symmetry.Group>`_\n- `Wyckoff_position <pyxtal.symmetry.html#pyxtal.symmetry.Wyckoff_position>`_\n- `pyxtal_molecule <pyxtal.molecule.html#pyxtal.molecule.pyxtal_molecule>`_\n- `Lattice <pyxtal.lattice.html#pyxtal.lattice.Lattice>`_\n- `Tol_matrix <pyxtal.tolerance.html#pyxtal.tolerance.Tol_matrix>`_\n\npyxtal.symmetry.Group\n~~~~~~~~~~~~~~~~~~~~~\n\nThe Group package makes working with symmetry groups simple. Useful information\ncan be accessed directly as follows:\n\n.. code-block:: Python\n\n    >>> from pyxtal.symmetry import Group\n    >>> g = Group(45)\n    >>> g\n    -- Space group # 45 --\n      8c\tsite symm: 1\n      4b\tsite symm: ..2\n      4a\tsite symm: ..2\n    >>> g.chiral   # check if the space group is enantiomorphic\n    False\n    >>> g.inversion #check if it has inversion symmetry\n    False\n    >>> g.polar #check if it is polar\n    True\n\n\nIt is important to note that one space group may have multiple settings (see the\n`Settings <Settings.html>`_ page for details). To avoid the ambiguity, Hall\nintroduced the explicit-origin space group notation. Following the Hall notation,\nthere exist 530 Concise space groups. The full list is available\n`online <http://cci.lbl.gov/sginfo/itvb_2001_table_a1427_hall_symbols.html>`_.\nIn PyXtal, we also the initialization of space group according to Hall number.\nBelow shows an example to create the Group object of ``Fd-3m (227)``\nwith the choice 1 of origin.\n\n.. code-block:: Python\n\n    >>> g = Group(525, use_hall=True)\n    >>> g.symbol\n    'F d -3 m:1'\n    >>> g[-1]\n    Wyckoff position 8a in space group 227 with site symmetry -4 33 mm\n    1/4, 1/4, 1/4\n    ...\n    1/2, 0, 1/2\n\nFor a comparison, we also show ``Fd-3m (227)`` in the standard setting of\nwith the choice 2 of origin. These two notations only differ in\nwhich symmetry point is placed at (0,0,0).\n\n.. code-block:: Python\n\n    >>> g = Group(526, use_hall=True)\n    >>> g.symbol\n    'F d -3 m:2'\n    >>> g[-1]\n    Wyckoff position 8a in space group 227 with site symmetry -4 33 mm\n    1/8, 1/8, 1/8\n    ...\n    3/8, 7/8, 3/8\n\n\nIf one wants to follow the spglib style to initialize the Group object, the\nfollowing way should work,\n\n.. code-block:: Python\n\n    >>> g = Group(227, style='spglib')\n    >>> g.hall_number\n    525\n\n\nLayer, rod, and point groups can be accessed by passing the parameter ```dim=2``,\n``dim=1``, or ``dim=0``, respectively.\n\n.. code-block:: Python\n\n    >>> Group(5, dim=2)\n    -- Layer group # 5 --\n      2a\tsite symm: 1\n    >>> Group(5, dim=1)\n    -- Rod group # 5 --\n      2a\tsite symm: 1\n    >>> Group(5, dim=0)\n    -- Point group 5 --\n      4d\tsite symm: 1\n      2c\tsite symm: m . .\n      2b\tsite symm: 2 . .\n      1a\tsite symm: 2/m . .\n\nA Group instance contains the Wyckoff positions, site symmetry, and generators\nfor the group. In addition, the Group class stores the lattice type\n(``lattice_type``), international number (``number``), symbol (``symbol``),\nand the periodic boundary conditions (``PBC``). Each group is divided into\nWyckoff positions, which are sets of points which possess some subset of the\ncomplete group symmetry.\n\n\npyxtal.symmetry.Wyckoff_position\n~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n\nA Wyckoff position is typically denoted with a number-letter combination,\ndepending on its multiplicity. For example, for space group ``Iba2 (45)``,\nthe general Wyckoff position is called ``8c``. This means the position has\na multiplicity of 8. The letters ``a`` and ``b`` are used by special Wyckoff\npositions. Note that the name convention is different for point groups; a point\ngroup may have the special Wyckoff position ``1o``, which corresponds to the point\n(0,0,0). This is in contrast to the default name ``1a``. Each Wyckoff position\nis further separated into individual operations\n``('-x,-y,z', '1,1/2,z+1/2', etc.)``.\n\nWhen a ``Group`` is defined, its ``Wyckoff_position`` can be accessed\nwith either a numerical index or letter.\n\n.. code-block:: Python\n\n    >>> g[0]\n    Wyckoff position 8c in space group 45 with site symmetry 1\n    x, y, z\n    -x, -y, z\n    ...\n    x+1, -y+1, z+1/2\n    -x+1, y+1, z+1/2\n    >>> g['b']\n    Wyckoff position 4b in space group 45 with site symmetry ..2\n    0, 1/2, z\n    ...\n    1, 1/2, z+1/2\n\nAs displayed in the example above, the Wyckoff position ``4b`` has site symmetry\n``..2``. In this example, ``.`` denotes no symmetry about the x and y axes, and\n``2`` denotes a 2-fold rotation about the z axis in Hermann-Mauguin notation.\nIn each WP, the symmetry operations are stored as\n`SymmOp <http://pymatgen.org/pymatgen.core.operations.html>`_ objects. These\nsymmetry operations can be applied to 3d vectors using ``op.operate``, or can be\ncomposed together via multiplication: ``op3 = op1 * op2``. Each ``SymmOp``\nconsists of a rotation matrix (``op.rotation_matrix``) and a translation vector\n(``op.translation_vector``), and is represented by a 4 x 4 affine\nmatrix (``op.affine_matrix``).\n\nAlternatively, the WP can be initialized by itself.\n\n.. code-block:: Python\n\n    >>> from pyxtal.symmetry import Wyckoff_position as wp\n    >>> wp.from_group_and_index(19, 0)\n    Wyckoff position 4a in space group 19 with site symmetry 1\n    x, y, z\n    -x+1/2, -y, z+1/2\n    -x, y+1/2, -z+1/2\n    x+1/2, -y+1/2, -z\n\n\n\n\npyxtal.molecule.pyxtal_molecule\n~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n\nThere are three options for defining molecules within Pyxtal. First, you need to\nimport the ``pyxtal_molecule`` class,\n\n.. code-block:: Python\n\n    from pyxtal.molecule import pyxtal_molecule\n\n\n1) From a pre-defined string for the chemical composition\n\n.. code-block:: Python\n\n    mol = pyxtal_molecule('H2O')\n\nThe list of supported molecules are accessible via:\n\n.. code-block:: Python\n\n    >>> pyxtal_molecule.list_molecules()\n    >>> ['C60', 'Glycine-z', 'xxvi', 'xxv', 'BIPHEN', 'ANULEN',\n    'QUPHEN', 'DBPERY', 'TBZPER', 'TBZPYR', 'YICMOP', 'MERQIM',\n    'H2O', 'CH4', 'NH3', 'benzene', 'naphthalene', 'anthracene',\n    'tetracene', 'Pentacene', 'coumarin', 'resorcinol', 'benzamide',\n    'aspirin', 'ddt', 'lindane', 'Glycine', 'Glucose', 'ROY', 'LEFCIK',\n    'OFIXUX', 'HAHCOI', 'JAPWIH', 'WEXBOS', 'LAGNAL', 'LUFHAW',\n    'PAHYON01', 'AXOSOW01']\n\n\n2) From a `Molecule <http://pymatgen.org/pymatgen.core.structure.html>`_ object.\n\n.. code-block:: Python\n\n    from pymatgen.core import Molecule\n\n    xyz=\"\"\"3\n    Water molecule\n    O          0.00000        0.00000        0.11779\n    H          0.00000        0.75545       -0.47116\n    H          0.00000       -0.75545       -0.47116\n    \"\"\"\n\n    m = Molecule.from_str(xyz, fmt='xyz')\n    mol = pyxtal_molecule(m)\n\n\n    # Alternatively, one can load a xyz molecule file.\n    # It will be converted to pymatgen.molecule and then passed to pyxtal.\n    mol = pyxtal_molecule('h2o.xyz')\n\n\n3) a smile string representing the molecule. For example, ``C1=CC=CC=C1.smi``\nmeans a benzene molecule. Note that the `.smi` suffix must be included to\nindicate that this is a smile string. In this case, **RDKit must be installed\nto use this function.**. One can install RDKit by simply typing\n\n``$ conda install -c conda-forge rdkit==2021.09.2``.\n\nNote that the current code is designed for version no later than ``2021.09.2``.\n\n.. code-block:: Python\n\n    mol = pyxtal_molecule('CC(=O)NC1=CC=CC=C1C(=O)N.smi')\n\n\nAfter the molecule is defined, its point group will also be parsed:\n\n.. code-block:: Python\n\n    mol = pyxtal_molecule('H2O')\n    print(mol.pg)\n\n::\n\n    -- Pointgroup --# 7 (C2v)--\n    4d\tsite symm: 1\n    2c\tsite symm: m . .\n    2b\tsite symm: m . .\n    1a\tsite symm: mm2 . .\n\n\npyxtal.lattice.Lattice\n~~~~~~~~~~~~~~~~~~~~~~\n\nIt is possible to supply your own unit cell lattice for a random crystal,\nvia the `pyxtal.lattice.Lattice <pyxtal.lattice.html>`_ class. You can define a lattice using\neither a 3 x 3 matrix, or 6 cell parameters:\n\n.. code-block:: Python\n\n    from pyxtal.lattice import Lattice\n    l1 = Lattice.from_matrix([[4.08,0,0],[0,9.13,0],[0,0,5.50]])\n    l2 = Lattice.from_para(4.08, 9.13, 5.50, 90, 90, 90)\n\nHere, both ``l1`` and ``l2`` describe the same lattice.\nIn this case, it is an orthorhombic cell with lengths 4.08, 9.13, and 5.50 Å,\nwhich is the unit cell for common water ice. The lattice parameters are,\nin order: (a, b, c, :math:`\\alpha, \\beta, \\gamma`).\na, b, and c are the lengths of the lattice vectors;\n:math:`\\alpha, \\beta, \\gamma` are the angles in degrees between these vectors.\n\n\npyxtal.tolerance.Tol_matrix\n~~~~~~~~~~~~~~~~~~~~~~~~~~~\n\nWhen generating random crystals, PyXtal performs inter-atomic distances checks\nto make sure the atoms are not too close together. By default, the covalent\nradius is used as a basis. However, the user may also define their own criteria\nusing the `pyxtal.tolerance.Tol_matrix <pyxtal.tolerance.html>`_ class.\nTo do this, initialize a ``Tol_matrix`` object using one of the built-in methods.\n\n.. code-block:: Python\n\n    from pyxtal.tolerance import Tol_matrix\n    tol_m_1 = Tol_matrix(prototype=\"molecular\", factor=2.0)\n    tol_m_2 = Tol_matrix.from_radii(some_custom_list_of_atomic_radii)\n    tol_m_3 = Tol_matrix.from_matrix(some_custom_2D_tolerance_matrix)\n\n\n\nCrystal structure generation\n----------------------------\nPyXtal allows one to generate the crystal from either the existing structure or\nfrom the scratch. First, One can always load an existing crystal from a given\nfile path. More importantly, PyXtal can generate the trial structure according\nto the customized factors such as space group, cell parameters, partial\noccupation. It also supports on handling different systems from atomic to\nmolecular, and from 1D to 3D.\n\nLoading the existing structures\n~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n\nAssuming there is a file in either cif or VASP POSCAR format, one can just\nload the structure by the ``from_seed`` function.\n\n.. code-block:: Python\n\n    from pyxtal import pyxtal\n    my_crystal = pyxtal()\n\n    my_crystal.from_seed(seed=struc_file, style='pyxtal')\n    my_crystal.from_seed(seed=struc_file, style='spglib')\n\nNote that the ``style`` flag allows one to represent the structure in different\nspace group settings.\n\nFor the molecular crystal, the molecular information must be provided as a list\n(see the molecule section for more details).\n\n.. code-block:: Python\n\n    from pyxtal import pyxtal\n    my_crystal = pyxtal(molecular=True)\n    my_crystal.from_seed(seed=struc_file, molecule=['aspirin'])\n\nIn addition to the existing files in either cif or VASP POSCAR, pyxtal also\nprovides the interface with Pymatgen and ASE, which support a variety of\nstructure formats. Below we show a few working examples.\n\n.. code-block:: Python\n\n    from pyxtal import pyxtal\n    c = pyxtal()\n\n    # load the structure from ase\n    from ase.io import read\n    ase_atoms = read('1.cif', format='cif')\n    c.from_seed(ase_atoms)\n\n    # load the structure from pymatgen\n    from pymatgen.core import Structure\n    pmg = read('1.cif', format='cif')\n    c.from_seed(pmg)\n\nThere is also a shortcut to allow the user to quickly make a well known structure prototype\nvia the ``from_prototype`` function,\n\n.. code-block:: Python\n\n\t>>> from pyxtal import pyxtal\n\t>>> c = pyxtal()\n\t>>> c.from_prototype('graphite')\n\t>>> c\n\n\t------Crystal from Build------\n\tDimension: 3\n\tComposition: C4\n\tGroup: P 63/m m c (194)\n  \t2.4600,   2.4600,   6.7000,  90.0000,  90.0000, 120.0000, hexagonal\n\n\tWyckoff sites:\n\tC @ [ 0.3333  0.6667  0.2500], WP [2c] Site [-622m2]\n\tC @ [ 0.0000  0.0000  0.2500], WP [2b] Site [-622m2]\n\n\nNote that this function so far only supports `graphite`, `diamond`, `a-cristobalite`, `b-cristobalite`, `a-quartz`, `b-quartz`, `rocksalt`, `B1`, `B2`.\n\nA more general approach is to call the ``build`` function,\n\n.. code-block:: Python\n\n\tfrom pyxtal import pyxtal\n\tfrom pyxtal.lattice import Lattice\n\n\tc = pyxtal()\n\tl = Lattice.from_para(5.62, 5.62, 5.62, 90, 90, 90, ltype='Cubic')\n\n\t# define the sites as dictionary \n\tsites = [{\"4a\": None}, # Na \n         \t {\"4b\": None}, # Cl\n        \t]\n\tc.build(225, ['Na', 'Cl'], [4, 4], lattice=l, sites=sites)\n\tprint(c)\n\nor the ``from_spg_wps_rep`` function\n\n.. code-block:: Python\n\n\tfrom pyxtal import pyxtal\n\tc = pyxtal()\n\tc.from_spg_wps_rep(194, ['2c', '2b'], [2.46, 6.70])        # graphite\n\tc.from_spg_wps_rep(227, ['8a'], [3.6])                     # diamond\n\tc.from_spg_wps_rep(225, ['4a', '4b'], [5.59], ['Na', 'Cl'] # B1-rocksalt\n\n\nRandom 3D Atomic Crystals\n~~~~~~~~~~~~~~~~~~~~~~~~~\n\nPyXtal allows the user to generate random crystal structures with given symmetry\nconstraints. There are several parameters which can be specified, but only three\nare necessary:\n\n- the symmetry group,\n- the types of atoms,\n- the number of each atom in the primitive cell\n\nHere is a simple example of a 3D carbon crystal:\n\n.. code-block:: Python\n\n    from pyxtal import pyxtal\n    my_crystal = pyxtal()\n    my_crystal.from_random(3, 225, ['C'], [12])\n\nThis would create a crystal structure with 3D structure with space group 225,\n12 carbon atoms in the conventional cell. For stoichiometry with more than one\ntype of atom, replace ``[C]`` with a list of atomic symbols, and replace ``[12]``\nwith a list of numbers. For example,\n\n.. code-block:: Python\n\n    >>> my_crystal = pyxtal()\n    >>> my_crystal.from_random(3, 99, ['Ba','Ti','O'], [1,1,3], random_state=10)\n    >>> my_crystal\n\n    ------Crystal from random------\n    Dimension: 3\n    Composition: Ba1Ti1O3\n    Group: P 4 m m (99)\n      4.0080,   4.0080,   9.3650,  90.0000,  90.0000,  90.0000, tetragonal\n    Wyckoff sites:\n    Ba @ [ 0.5000  0.5000  0.7043], WP [1b] Site [4mm]\n    Ti @ [ 0.0000  0.0000  0.2199], WP [1a] Site [4mm]\n     O @ [ 0.5000  0.0000  0.3652], WP [2c] Site [2mm.]\n     O @ [ 0.0000  0.0000  0.6833], WP [1a] Site [4mm]\n\nwould create a random ``BaTiO3`` crystal. If the generation is successful, the value of ``my_crystal.valid`` will be set to ``True``; otherwise, it will be ``False``. Keep in mind that the you can pass an integer value to ``random_state`` to ensure the reproducibility. This feature would be useful for many different purposes. \n\nIf you want to generate many random structures with a fixed random number generator, we recommend the following scripts by setting up a random number generator via ``np.random.default_rng``:\n\n.. code-block:: Python\n\n    from pyxtal import pyxtal\n    import numpy as np\n    rng = np.random.default_rng(0)\n\n    xtals = []\n    for i in range(10):\n        xtal = pyxtal()\n        xtal.from_random(3, 99, ['Ba','Ti','O'], [1,1,3], random_state=rng)\n        xtals.append(xtal)\n\nSimilar setup can be applied to other modules as well.\n\nRandom 3D molecular crystals\n~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n\n3D Molecular crystals are generated in the same way as atomic crystals,\nbut atomic species are replaced with (rigid) molecules. The following script\nwould give a crystal with space group 36, 4 molecules in the conventional\nunit cell.\n\n.. code-block:: Python\n\n    my_crystal = pyxtal(molecular=True)\n    my_crystal.from_random(3, 36, ['H2O'], [4])\n\n    ------Random Molecular Crystal------\n    Dimension: 3\n    Group: Cmc21\n    Volume factor: 1.0\n    orthorhombic lattice:   5.6448   6.3389   4.4262  90.0000  90.0000  90.0000\n    Wyckoff sites:\n    H2 O1 @ [ 0.000  0.596  0.986]  Wyckoff letter:  4a, Site symmetry m.. ==> Rotvec: -0.343  0.000  0.000\n\n\nFor molecular crystals, it is possible that a structure is better represented in\na non-standard setting. PyXtal supports the generation of crystals from a\nnon-standard setting (as defined by the Hall number). Below compares how to\ngenerate the crystals of :math:`P2_1/c` and :math:`P2_1/n`, which are both in\nspace group 14.\n\n.. code-block:: Python\n\n    >>> from pyxtal import pyxtal\n    >>> c1 = pyxtal(molecular=True)\n    >>> c1.from_random(3, 81, [\"aspirin\"], use_hall=True)\n    >>> c1\n    ------Crystal from random------\n    Dimension: 3\n    Composition: [aspirin]4\n    Group: P 1 21/c 1 (14)\n    12.6259,  15.1971,  12.3168,  90.0000,  84.2525,  90.0000, monoclinic\n    Wyckoff sites:\n\tH8C9O4       @ [ 0.6281  0.9928  0.7032]  WP [4e] Site [1] Euler [  57.4  -46.9   89.8]\n\n    >>> c1.from_random(3, 82, [\"aspirin\"], use_hall=True)\n    >>> c1\n    ------Crystal from random------\n    Dimension: 3\n    Composition: [aspirin]4\n    Group: P 1 21/n 1 (14)\n    16.4395,  16.5499,   9.4357,  90.0000, 113.6587,  90.0000, monoclinic\n    Wyckoff sites:\n\tH8C9O4       @ [ 0.0181  0.6252  0.5789]  WP [4e] Site [1] Euler [-179.0   46.1  -63.9]\n\n\nWhile the module is called molecular crystal, one can also use it to general MOF-like structures (e.g., `Na(N3)`) by setting molecular blocks as follows \n\n.. code-block:: Python\n\n\tfrom pyxtal import pyxtal\n\txtal = pyxtal(molecular=True)\n\tfrom pyxtal.molecule import pyxtal_molecule\n\tm1 = pyxtal_molecule('Na+.smi')\n\tm2 = pyxtal_molecule('[N-]=[N+]=[N-].smi')\n\n\tfor i, data in enumerate([(14, [4, 4]),\n                          \t  (36, [4, 4]),\n                            ]):\n    \t(spg, numIons) = data\n    \txtal.from_random(3, 14, [m1, m2], [4, 4])\n    \txtal.to_file(f\"{i}-{spg}.cif\")\n\n\nRandom sub-periodic crystals\n~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n\nPyXtal can also generate sub-periodic crystals. For example,\n\n.. code-block:: Python\n\n    my_crystal = pyxtal()\n    my_crystal.from_random(2, 20, ['C'], [4], thickness=2.0)\n\nwould generate a 2d crystal with\n\n- layer group ``P2_122 (20)``,\n- 4 carbon atoms in the conventional cell,\n- a thickness of 2.0 Å.\n\n\nThe crystal will be periodic in two directions instead of three. PyXtal adds\n10 Å of vacuum on the z axis (which is non-periodic). Note that the\nlayer group number is different from the space group number, and ranges between\n1 and 80. By default, PyXtal will automatically generate a value for the\nthickness of the unit cell, based on the volume. By specifying thickness value,\nyou override this behavior. So, if you are testing over a range of volume\nfactors, consider how the shape of the unit cell will be affected, and change\nthe thickness accordingly. Alternatively, you\nmay supply a custom Lattice object.\n\nYou can generate 1D crystals using Rod groups (between 1 and 75) and atomic\nclusters with point group symmetry.\n\n.. code-block:: Python\n\n  1d = pyxtal()\n  1d.from_random(1, 20, ['C'], [4])\n\n  0d= pyxtal()\n  0d.from_random(0, 'Ih', ['C'], [60])\n\n\nThe point group may be specified either by a number (only for the crystallographic\npoint groups), or by a symbol (see the `Settings <Settings.html>`_ page).\n\n\n2D and 1D molecular crystals are also supported.\n\n.. code-block:: Python\n\n    my_crystal = pyxtal()\n    my_crystal.from_random(2, 20, ['H2O'], [4])\n    my_crystal.from_random(1, 20, ['H2O'], [4])\n\n\nCrystal structure Post Analysis\n-------------------------------\nAfter the crystal is built, PyXtal allows one to manipulate the structure in\ndifferent ways. The following script illustrate some useful functions.\n\n.. code-block:: Python\n\n    # create a random crystal\n    c = pyxtal()\n    c.from_random(3, 227, ['C'], [8])\n\n    ------Crystal from random------\n    Dimension: 3\n    Composition: C8\n    Group: F d -3 m:2 (227)\n    4.9107,   4.9107,   4.9107,  90.0000,  90.0000,  90.0000, cubic\n    Wyckoff sites:\n\tC @ [ 0.1250  0.1250  0.1250], WP [8a] Site [-433mm]\n\n    # get a subgroup representation\n    c.subgroup_once(H=141)\n    ------Crystal from subgroup------\n    Dimension: 3\n    Composition: C8\n    Group: I 41/a m d:2 (141)\n    3.4724,   3.4724,   4.9667,  90.0000,  90.0000,  90.0000, tetragonal\n    Wyckoff sites:\n\tC @ [ 0.0000  0.7500  0.1250], WP [4a] Site [-4mm2]\n\n    # compute the pxrd\n    >>> c.get_XRD()\n      2theta     d_hkl     hkl       Intensity  Multi\n      31.556     2.835   [ 1  1  1]   100.00        8\n      52.723     1.736   [ 2  2  0]    42.05       12\n      62.755     1.481   [ 3  1  1]    21.09       24\n      77.799     1.228   [ 4  0  0]     5.08        6\n      86.361     1.127   [ 3  3  1]     7.87       24\n     100.543     1.002   [ 4  2  2]    12.92       24\n     109.320     0.945   [ 5  1  1]     8.55       24\n     125.261     0.868   [ 4  4  0]     7.45       12\n     136.483     0.830   [ 5  3  1]    18.32       48\n     166.319     0.776   [ 6  2  0]    58.30       24\n\nIn addition, the structure can be exported to a variety of formats for further\nanalysis and process.\n\n.. code-block:: Python\n\n    from pyxtal import pyxtal\n    c = pyxtal()\n    c.from_random(3, 225, ['C'], [16])\n\n    # export the structure to pymatgen or ase.Atoms object.\n    pmg_struc = c.to_pymatgen()\n    ase_struc = c.to_ase()\n\n    # ase.Atoms object supports a lot of methods for structural manipulation\n    ase_struc *= 2             # create 2*2*2 supercell\n    ase_struc *= [1, 2, 2]     # create 1*2*2 supercell\n\n    # Export the structure into different formats\n    ase_struc.write('1.vasp', format='vasp', vasp5=True, direct=True)\n    ase_struc.write('1.xyz', format='extxyz')\n\n\nFor the molecular crystals, the atomic order will automatically adjusted\nwhen converting when the structure is converted to `ASE Atoms` object.\nIf you want to keep the original order, just set ``resort=False``\nwhen calling the ``to_ase()`` function.\n\n.. code-block:: Python\n\n    my_crystal = pyxtal()\n    my_crystal.from_random(3, 36, ['H2O'], [4], 1.0)\n    xtal = my_crystal.to_ase(resort=False)\n    print(xtal)\n\n    Atoms(symbols='OH2OH2OH2OH2', pbc=True, cell=[[6.503138824544265, 0.0, 0.0], [3.0183112928813903e-16, 4.929276416649856, 0.0], [3.025303230945897e-16, 3.025303230945897e-16, 4.940695118057273]])\n\n    ordered_xtal = my_crystal.to_ase()\n    print(ordered_xtal)\n    Atoms(symbols='H8O4', pbc=True, cell=[[6.503138824544265, 0.0, 0.0], [3.0183112928813903e-16, 4.929276416649856, 0.0], [3.025303230945897e-16, 3.025303230945897e-16, 4.940695118057273]])\n\n\nSubgroup/supergroup manipulation\n--------------------------------\nSymmetry relation has been playing an important role in crystallography. PyXtal provides several utilities to allow one to conveniently explore the subgroup or supergroup symmetries.\n\nGenerating subgroup and supergroup xtals\n~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n.. code-block:: Python\n\n    from pyxtal import pyxtal\n\n    # load a graphite crystal\n    xtal=pyxtal()\n    xtal.from_spg_wps_rep(194, ['2c', '2b'], [2.46, 6.70])\n\n    print(\"Derive subgroup graphite structures\")\n    sub_t_xtals = xtal.subgroup(eps=0.01, group_type='t')\n    print(\"t_subgroup xtals\", len(sub_t_xtals))\n    sub_k_xtals = xtal.subgroup(eps=0.01, group_type='k', max_cell=9)\n    print(\"k_subgroup xtals\", len(sub_k_xtals))\n\nExecuting this above scripts will lead to the following output:\n\n.. code-block:: Python\n\n    Derive subgroup graphite structures\n    t_subgroup xtals 10\n    k_subgroup xtals 22\n\n\nThis way, you can easily find derivative crystals in the suboptimal representations. Conversely, it is also possible to identify the likely supergroup xtal. The following snippet codes can be used to design illustrate pyxtal functionalities.\n\n.. code-block:: Python\n\n    from pyxtal import pyxtal\n\n    # load a graphite crystal and make the subgroup representation\n    xtal=pyxtal()\n    xtal.from_spg_wps_rep(194, ['2c', '2b'], [2.46, 6.70])\n    xtal_sub = xtal.subgroup_once(H=164)\n\n    # recheck the symmetry by varying the tolerance values\n    for tol in [2e-1, 1e-1, 1e-2]:\n        print(\"Refind the symmetry with tol\", tol, xtal_sub.resymmetrize(tol).group.number)\n\n    # make the supergroup symmetry\n    xtals, solutions = xtal_sub.supergroup(G=194)\n    print(xtals[0])\n    print(solutions)\n\n\n    # Output \n    Refind the symmetry with tol 0.2 194\n    Refind the symmetry with tol 0.1 164\n    Refind the symmetry with tol 0.01 164\n\n    Recovered xtal with the supergroup symmetry\n\n    ------Crystal from supergroup  0.014------\n    Dimension: 3\n    Composition: C4\n    Group: P 63/m m c (194)\n      2.4622,   2.4622,   6.7643,  90.0000,  90.0000, 120.0000, hexagonal\n    Wyckoff sites:\n    C @ [ 0.0000  0.0000  0.2500], WP [2b] Site [-622m2]\n    C @ [ 0.3333  0.6667  0.2500], WP [2c] Site [-622m2]\n\n    The mapping relation between sub/super group symmetries\n    [(Wycokff split from 194 to 164\n\n    2b -> 2c\n    0, 0, 1/4           -> 0, 0, 1/4                -> 0, 0, z\n    0, 0, 3/4           -> 0, 0, 3/4                -> 0, 0, -z\n\n    2c -> 2d\n    1/3, -1/3, 1/4      -> 1/3, 2/3, 1/4            -> 1/3, 2/3, z\n    2/3, 1/3, 3/4       -> 2/3, 1/3, 3/4            -> 2/3, 1/3, -z\n    , [1, 0], array([0.        , 0.        , 0.00206797]), 0, 0.014137159092037652)]\n\n\n\nChemical Substitution\n~~~~~~~~~~~~~~~~~~~~~\n\nIn many cases, the crystal structures of mutlicompnent systems are strongly related to the structure of simple systems. For instance, the 1:1 ratio boron nitrides, as an isoelectronic analogue to carbon, exihibit very similar structural behaviors as compared to elemental carbon allotropes. Similarly, many of the known AlPO\\ :sub:`4` polymorphs are related to SiO\\ :sub:`2`. \n\nInspired by these known correlation, PyXtal offers the `substitue_1_2 <pyxtal.html#pyxtal.substitue_1_2>`_  function to derive the BC compounds from A via subgroup relation (e.g., from C to BN or from SiO\\ :sub:`2` to AlPO\\ :sub:`4`). The key idea is to split A's Wyckoff sites to B and C according to the BC composition constraints. Unlike the random substitution, the Wyckoff position splitting strictly follows the group-subgroup relation. As such, the resulting compound retains a high space group symmetry from the parental structure. Below, we illustrate this function via a few examples.\n\nBelow is a script to make a 1:1 ratio BN compound from the diamond carbon allotrope.\n\n.. code-block:: Python\n\n    from pyxtal import pyxtal\n\n    # load a diamond crystal\n    xtal=pyxtal()\n    xtal.from_spg_wps_rep(227, ['8a'], [3.6], ['C'])\n\n    print(\"Derive symmetry related BN crystal from diamond\")\n    xtals = xtal.substitute_1_2({'C': ['B', 'N']})\n\n\n    Derive symmetry related BN crystal from diamond\n    Add substitution *  8   1  216 F-43m          3.53 4a 4d\n    Found 1 substitutions in total\n\n\nIf you want to generate more BN crystals, you can first generate the subgroup representation and then apply the ``substitute_1_2`` function.\n\n.. code-block:: Python\n\n    print(\"Derive even more BN crystals from diamond subgroup representations\")\n    for sub in xtal.subgroup(group_type='t+k'):\n        xtals = sub.substitute_1_2({'C': ['B', 'N']})\n\n    Derive even more BN crystals from diamond subgroup representations\n    Add substitution *  4   2  119 I-4m2          3.53 2d 2b\n    Found 1 substitutions in total\n    Add substitution *  4   2  119 I-4m2          3.53 2d 2b\n    Found 1 substitutions in total\n    Add substitution *  4   2  119 I-4m2          3.53 2d 2b\n    Found 1 substitutions in total\n    Add substitution *  6   4  160 R3m            3.53 3a 3a\n    Add substitution * 12   4  166 R-3m           3.53 6c 6c\n    Add substitution * 12   4  166 R-3m           3.53 6c 6c\n    Found 3 substitutions in total\n    Add substitution *  6   4  160 R3m            3.53 3a 3a\n    Add substitution * 12   4  166 R-3m           3.53 6c 6c\n    Add substitution * 12   4  166 R-3m           3.53 6c 6c\n    Found 3 substitutions in total\n    Add substitution *  6   4  160 R3m            3.53 3a 3a\n    Add substitution * 12   4  166 R-3m           3.53 6c 6c\n    Add substitution * 12   4  166 R-3m           3.53 6c 6c\n    Found 3 substitutions in total\n    Add substitution *  6   4  160 R3m            3.53 3a 3a\n    Add substitution * 12   4  166 R-3m           3.53 6c 6c\n    Add substitution * 12   4  166 R-3m           3.53 6c 6c\n    Found 3 substitutions in total\n    Add substitution *  8   1  196 F23            3.53 4a 4d\n    Found 1 substitutions in total\n    Add substitution *  8   1  196 F23            3.53 4b 4d\n    Found 1 substitutions in total\n\n\nAdditionally, you may want to generate a more homogeously substituted BN crystal in which each B(N) is 4-coordinated to N(B) from the diamond crystal. In this case, you can set a criteria dictionary to filter the unsatsified structure as follows.\n\n\n.. code-block:: Python\n\n    print(\"\\nDerive a BN crystal in which each B(N) is 4-coordinated to N(B)\")\n    criteria = {'CN': {'B': 4, 'N': 4}, 'cutoff': 1.9, 'exclude_ii': True}\n    xtals = sub.substitute_1_2({'C': ['B', 'N']}, ratio=[1, 1], criteria=criteria)\n\n    Derive a BN crystal in which each B(N) is 4-coordinated to N(B)\n    Add substitution *  8   1  216 F-43m          3.53 4a 4d\n    Found 1 substitutions in total\n\nFinally, this function is not limited to elemental-binary substitution. For example, \nbelow shows a case to convert an α-cristobalite SiO\\ :sub:`2` structure to AlPO\\ :sub:`4` by \nselectively substituting Si atoms:\n\n\n.. code-block:: Python\n\n    # load the alpha-cristobalite SiO2\n    xtal_sio2 = pyxtal()\n    xtal_sio2.from_prototype('a-cristobalite')\n    print(xtal_sio2)\n\n    xtals_alpo4 = xtal_sio2.substitute_1_2({'Si': ['Al', 'P']})\n    print(xtals_alpo4)\n\n\n    ------Crystal from Build------\n    Dimension: 3\n    Composition: Si4O8\n    Group: P 41 21 2 (92)\n    5.0847,   5.0847,   7.0986,  90.0000,  90.0000,  90.0000, tetragonal\n    Wyckoff sites:\n\t    Si @ [ 0.2944  0.2944  0.0000], WP [4a] Site [..2]\n\t     O @ [ 0.0941  0.2410  0.8256], WP [8b] Site [1]\n\n    Add substitution * 24  11   20 C2221          2.21 4b 4a 8c 8c\n    Found 1 substitutions in total\n    [\n    ------Crystal from subgroup------\n    Dimension: 3\n    Composition: O16P4Al4\n    Group: C 2 2 21 (20)\n      7.1909,   7.1909,   7.0986,  90.0000,  90.0000,  90.0000, orthorhombic\n    Wyckoff sites:\n    \tAl @ [ 0.0000  0.7089  0.2500], WP [4b] Site [.2.]\n    \t P @ [ 0.2077  0.0000  0.0000], WP [4a] Site [2..]\n    \t O @ [ 0.9261  0.1658  0.5751], WP [8c] Site [1]\n    \t O @ [ 0.8325  0.4278  0.8240], WP [8c] Site [1]]\n\nAdvanced examples in random structure generation\n-------------------------------------------------\n\nIn addition to the required parameters, the user can provide additional\nconstraints.\n\nConstraints on lattice and sites\n~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n\nSometimes, it is convenient to generate the crystal with partial information.\nBelow shows how to create a Al\\ :sub:`2`\\ SiO\\ :sub:`5`\\  crystal with a pre-assigned unit\ncell and sites on ``8Al + 4Si + 4O``, and random coordinates on the 16 remaining\nO atoms.\n\n.. code-block:: Python\n\n    from pyxtal.lattice import Lattice\n    cell = Lattice.from_para(7.8758, 7.9794, 5.6139, 90, 90, 90, ltype='orthorhombic')\n    spg = 58\n    elements = ['Al', 'Si', 'O']\n    composition = [8, 4, 20]\n\n    sites = [{\"4e\": [0.0000, 0.0000, 0.2418],\n              \"4g\": [0.1294, 0.6392, 0.0000],\n             },\n             {\"4g\": [0.2458, 0.2522, 0.0000]},\n             {\"4g\": [[0.4241, 0.3636, 0.0000], [0.5538, 0.2648, 0.0000]]}, #partial information on O sites\n            ]\n\n    s = pyxtal()\n    s.from_random(3, spg, elements, composition, lattice=cell, sites=sites)\n    print(s)\n\n    ------Crystal from random------\n    Dimension: 3\n    Composition: O20Si4Al8\n    Group: Pnnm (58)\n      7.8758,   7.9794,   5.6139,  90.0000,  90.0000,  90.0000, orthorhombic\n    Wyckoff sites:\n    Al @ [ 0.0000  0.0000  0.2418], WP [4e] Site [..2]\n    Al @ [ 0.1294  0.6392  0.0000], WP [4g] Site [..m]\n    Si @ [ 0.2458  0.2522  0.0000], WP [4g] Site [..m]\n    O @ [ 0.4241  0.3636  0.0000], WP [4g] Site [..m]\n    O @ [ 0.5538  0.2648  0.0000], WP [4g] Site [..m]\n    O @ [ 0.0000  0.0000  0.5000], WP [2b] Site [..2/m]\n    O @ [ 0.0000  0.5000  0.0000], WP [2c] Site [..2/m]\n    O @ [ 0.4348  0.6979  0.2566], WP [8h] Site [1]\n\n\nSimilarly, PyXtal allows the user to pre-assign the partial information (e.g.,\nlattice, Wyckoff sites) before generating the crystals. A list of scripts is\nshown below.\n\n.. code-block:: Python\n\n    s = pyxtal()\n    # Generatation with minimum input\n    s.from_random(from_random(3, 14, ['aspirin'], [4])\n\n    # Add Lattice constraints\n    from pyxtal.lattice import Lattice\n    lat = Lattice.from_para(11.43, 6.49, 11.19, 90, 83.31, 90, ltype='monoclinic')\n    s.from_random(3, 14, ['aspirin'], [4], lattice=lat)\n\n    # Add sites constraints\n    sites = [{\"4e\": [0.77, 0.57, 0.53]}]\n    s.from_random(3, 14, ['aspirin'], [4], lattice=lat, sites=sites)\n\n    # Crystal with 2 water molecules occupying two special wyckoff sites\n    # This requires that the molecule is compatible with the site symmetry, be cautious!\n    s.from_random(3, 36, [\"H2O\"], [8], sites=[[\"4a\", \"4a\"]])\n\n\nRandom molecular crystal without calling pyxtal_molecule\n~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n\nIf you just want to generate a random molecular crystal, PyXtal will automatically\ninterpret the strings. Therefore, it is not necessary to call the\n``pyxtal_molecule`` class. See a short example below.\n\n.. code-block:: Python\n\n    from pyxtal import pyxtal\n    c1 = pyxtal(molecular=True)\n    c1.from_random(3, 14, ['CC(=O)NC1=CC=CC=C1C(=O)N.smi'], [4])\n    print(c1)\n\n\nRandom molecular crystal with constraints on torsion\n~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n\nUsing the smiles string, one can specify the desired torsions\n\n.. code-block:: Python\n\n    from pyxtal import pyxtal\n\n    c1 = pyxtal(molecular=True)\n    c1.from_random(3, 14, ['CC(=O)NC1=CC=CC=C1C(=O)N.smi'], [4], torsions=[[-60.2, 1.7, 126.5]])\n    print(c1)\n    print(\"Torsions\", c1.mol_sites[0].encode()[-4:-1])\n\n::\n\n    ------Crystal from random------\n    Dimension: 3\n    Composition: [CC(=O)NC1=CC=CC=C1C(=O)N]4\n    Group: P21/c (14)\n    monoclinic lattice:  19.2246  13.2842  10.1448  90.0000 113.3669  90.0000\n    Wyckoff sites:\n\t    H10C9N2O2 @ [ 0.2497  0.4534  0.9597]  WP:  4e, Site symmetry 1 ==> Euler: -66.31  25.98 -37.99\n    Torsions [-60.19971274864328, 1.6999253045986045, 126.50111998425088]\n\n\n\nSymmetry Compatibility in Molecular Crystals\n~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n\nFor the molecules with high point group symmetry, it is possible that the\nmolecule can occupy the special Wyckoff site. Different from other codes,\nPyXtal offers an internal function to check if the molecular symmetry is\ncompatible with the Wyckoff site symmetry. Below is a short example to illustrate\nthe function.\n\n.. code-block:: Python\n\n    from pyxtal.symmetry import Group\n    from pyxtal.molecule import pyxtal_molecule\n\n    mol = pyxtal_molecule('H2O')\n    sgs = [14, 36, 63]\n\n    for sg in sgs:\n        spg = Group(sg)\n        for wp in spg.Wyckoff_positions:\n            if len(mol.get_orientations_in_wp(wp)) > 0:\n                print(wp.__str__(True))\n\nIf you run the above script, it is expected to return all the possible Wyckoff\nsites that can host the H₂O molecule.\n\n::\n\n    Wyckoff position 4e in space group 14 with site symmetry 1\n    Wyckoff position 8b in space group 36 with site symmetry 1\n    Wyckoff position 4a in space group 36 with site symmetry m..\n    Wyckoff position 16h in space group 63 with site symmetry 1\n    Wyckoff position 8g in space group 63 with site symmetry ..m\n    Wyckoff position 8f in space group 63 with site symmetry m..\n    Wyckoff position 8e in space group 63 with site symmetry 2..\n    Wyckoff position 4c in space group 63 with site symmetry m2m\n\n\n1D Representation\n-----------------\n\nAtomic Crystals\n~~~~~~~~~~~~~~~~~~\n\nFor the atomic crystal, PyXtal provides a `get_1d_rep_x()` function to convert the crystal into a 1D representation. This function is useful for getting the reduced crystal variables for uniquely describing the crystal structure. \n\n.. code-block:: Python\n\n    from pyxtal import pyxtal\n    c1 = pyxtal()\n    c1.from_prototype('a-cristobalite')\n    rep = c1.get_1D_rep_x()\n    print(rep)\n\n::\n\n    array([5.085, 7.099, 0.294, 0.094, 0.241, 0.826])\n\n\nThe 1D representation is a numpy array that contains continuous variables to describe the unit cell and the Wyckoff sites. Using this representation, one can also build the crystal structure back. For example, the following code snippet shows how to build the crystal structure from the 1D representation.\n\n.. code-block:: Python\n\n    xtal.from_spg_wps_rep(92, \n                          [\"4a\", \"8b\"], \n                          [5.085, 7.099, 0.294, 0.094, 0.241, 0.826], \n                          [\"Si\", \"O\"])\n    print(xtal)\n\n::\n\n    ------Crystal from 1D rep.------\n    Dimension: 3\n    Composition: Si4O8\n    Group: P 41 21 2 (92)\n    5.0850,   5.0850,   7.0990,  90.0000,  90.0000,  90.0000, tetragonal\n    Wyckoff sites:\n    Si @ [ 0.2940  0.0940  0.2410], WP [4a] Site [..2]\n    O @ [ 0.2410  0.8260  0.0000], WP [8b] Site [1]\n\n\nMolecular Crystals\n~~~~~~~~~~~~~~~~~~\n\nFor the molecular crystal, PyXtal also provides a\n`representation <pyxtal.representation.html>`_ class to handle the conversion\nbetween Pyxtal and its 1D representation. With this module, one can represent the crystal into a 1D array.\n\n.. code-block:: Python\n\n    from pyxtal import pyxtal\n\n    c1 = pyxtal(molecular=True)\n    c1.from_seed('pyxtal/database/cifs/aspirin.cif', ['CC(=O)OC1=CC=CC=C1C(=O)O.smi'])\n    rep = c1.get_1D_representation()\n    print(rep.to_string())\n\n::\n\n    81 11.23  6.54 11.23  95.9 1 0.23 0.59 0.03   44.1  -25.2   32.5   82.9    2.8 -178.3 1\n\n\nIn the 1D string, the data is organized as follows\n\n- Hall number (1-530)\n- cell parameters: *a*, *b*, *c*, *α*, *β*, *γ*\n- molecular site: center coordinates + orientation + torsions + inversion\n\nAlternatively, one can read the structure from the 1D representation and smile string\n\n.. code-block:: Python\n\n    from pyxtal.representation import representation\n    rep1 = representation(rep.x, ['CC(=O)OC1=CC=CC=C1C(=O)O'])\n    xtal = rep1.to_pyxtal()\n    print(xtal)\n\n\n::\n\n    ------Crystal from 1D rep.------\n    Dimension: 3\n    Composition: [CC(=O)OC1=CC=CC=C1C(=O)O]4\n    Group: P 1 21/c 1 (14)\n    11.2330,   6.5440,  11.2310,  90.0000,  95.8900,  90.0000, monoclinic\n    Wyckoff sites:\n\tH8C9O4       @ [ 0.2252  0.5852  0.0308]  WP [4e] Site [1] Euler [  44.1  -25.2   32.5]\n\n\nDatabase\n--------\n\nFor molecular crystals, PyXtal provides a\n`db <pyxtal.db.html>`_ class to handle store the database with additional information related to the Cambridge Crystallographic Database. **This function requires the access of `CSD Python-api <https://downloads.ccdc.cam.ac.uk/documentation/API/index.html>`_.**\n\nTo create a new database file (e.g., `test.db`),\n\n.. code-block:: Python\n    \n    from pyxtal.db import make_db_from_CSD\n    db = make_db_from_CSD('test.db', ['ACSALA', 'BENZEN', 'COUMAR01'])\n    print(\"Initial list of codes\", db.codes)\n    db.add_from_code('NAPHTA')\n    print(\"Updated list of codes\", db.codes)\n\n::\n\n    0 ACSALA\n    1 BENZEN\n    2 COUMAR01\n    Initial list of codes ['ACSALA', 'BENZEN', 'COUMAR01']\n    Updated list of codes ['ACSALA', 'BENZEN', 'COUMAR01', 'NAPHTA']\n\n\nTo view the database file, \n\n\n``$ ase db test.db``\n\n::\n\n    csd_code|space_group|mol_smi              \n    ACSALA  |P21/c      |CC(=O)Oc1ccccc1C(O)=O\n    BENZEN  |Pbca       |c1ccccc1             \n    COUMAR01|Pca21      |O=C1Oc2ccccc2C=C1    \n    NAPHTA  |P21/c      |c1ccc2ccccc2c1       \n    Rows: 4\n\nTo update some information,\n\n.. code-block:: Python\n\n    from pyxtal.db import database\n    db = database('test.db')\n    db.add_from_code('XATJOT')\n    print(\"Updated list of codes\", db.codes)\n    row = db.get_row('XATJOT')\n    print(\"Original smiles\", row.mol_smi)\n    db.db.update(row.id, mol_smi='[nH+]1cccc2cccnc12.OC(=O)/C=C/C(=O)[O-]')\n    row = db.get_row('XATJOT')\n    print(\"Update smiles\", row.mol_smi)\n\n::\n\n    Updated list of codes ['ACSALA', 'BENZEN', 'COUMAR01', 'NAPHTA', 'XATJOT']\n    Original smiles [nH+]1cccc2cccnc12.OC(=O)/C=C/C(=O)[O-]\n    Update smiles [nH+]1cccc2cccnc12.OC(=O)/C=C/C(=O)[O-]\n\n\nTo access the pyxtal structure\n\n.. code-block:: Python\n\n    from pyxtal.db import database\n    db = database('test.db')\n    xtal = db.get_pyxtal('XATJOT')\n    print(xtal)\n\n::\n\n    ------Crystal from Seed------\n    Dimension: 3\n    Composition: [[nH+]1cccc2cccnc12]4[OC(=O)/C=C/C(=O)[O-]]4\n    Group: P c a 21 (29)\n    23.5010,   3.7141,  12.6535,  90.0000,  90.0000,  90.0000, orthorhombic\n    Wyckoff sites:\n\t    H7C8N2       @ [ 0.2272  0.3356  0.8232]  WP [4a] Site [1] Euler [   0.0    0.0    0.0]\n\t    H3C4O4       @ [ 0.5328  0.0993  0.0601]  WP [4a] Site [1] Euler [   0.0    0.0    0.0]\n\n\nSpace Group and Site Symmetry\n-----------------------------\n\nPyXtal provides a `site_symmetry <pyxtal.symmetry.html#pyxtal.symmetry.site_symmetry>`_ \nclass to handle the conversion of site symmetry symbols and operations.\n\n\n.. code-block:: Python\n    \n    from pyxtal import pyxtal\n    c = pyxtal()\n    c.from_seed('pyxtal/database/cifs/NaSb3F10.cif')\n    for site in c.atom_sites:\n        print(site)\n        ss = site.wp.get_site_symmetry_object()\n        ss.to_beautiful_matrix_representation()\n\n::\n\n    Na @ [ 0.3333  0.6667  0.0330], WP [2b] Site [3..]\n    Order    Axis    1  -1   2   m   3   4  -4  -3   6  -6   Group\n    0 ( 0  0  1):    1   0   0   0   1   0   0   0   0   0     3\n    \n    Sb @ [ 0.1163  0.3406  0.4500], WP [6c] Site [1]\n    Order    Axis    1  -1   2   m   3   4  -4  -3   6  -6   Group\n \n    F @ [ 0.9650  0.4560  0.4190], WP [6c] Site [1]\n    Order    Axis    1  -1   2   m   3   4  -4  -3   6  -6   Group\n \n    F @ [ 0.7960  0.1890  0.7060], WP [6c] Site [1]\n    Order    Axis    1  -1   2   m   3   4  -4  -3   6  -6   Group\n \n    F @ [ 0.8890  0.1180  0.3600], WP [6c] Site [1]\n    Order    Axis    1  -1   2   m   3   4  -4  -3   6  -6   Group\n \n    F @ [ 0.3333  0.6667  0.4550], WP [2b] Site [3..]\n    Order    Axis    1  -1   2   m   3   4  -4  -3   6  -6   Group\n    0 ( 0  0  1):   1   0   0   0   1   0   0   0   0   0     3\n\n\nOne can also access the matrix representation via the `to_matrix_representation <pyxtal.symmetry.html#pyxtal.symmetry.site_symmetry>`_ method.\n\n.. code-block:: Python\n\n    matrix = ss.to_matrix_representation()\n\nThis will result in a `15×10` array to represent the presence of 10 fundamental symmetry elements in 15 possible high symmetry crystallograph axes.\n::\n    \n    # An example of 3-fold rotation symmetry on the (0 0 1) axis\n    array([[1, 0, 0, 0, 0, 0],\n       [1, 0, 0, 0, 0, 0, 0],\n       [1, 0, 0, 0, 1, 0, 0],\n       [1, 0, 0, 0, 0, 0, 0],\n       [1, 0, 0, 0, 0, 0, 0],\n       [1, 0, 0, 0, 0, 0, 0],\n       [1, 0, 0, 0, 0, 0, 0],\n       [1, 0, 0, 0, 0, 0, 0],\n       [1, 0, 0, 0, 0, 0, 0],\n       [1, 0, 0, 0, 0, 0, 0],\n       [1, 0, 0, 0, 0, 0, 0],\n       [1, 0, 0, 0, 0, 0, 0],\n       [1, 0, 0, 0, 0, 0, 0],\n       [1, 0, 0, 0, 0, 0, 0],\n       [1, 0, 0, 0, 0, 0, 0],\n       [1, 0, 0, 0, 0, 0, 0]])   \n\n\nThe one-hot matrix representation `(15, 13)` can also be obtained via \n\n.. code-block:: Python\n\n    one_hot = ss.to_one_hot()\n\n::\n\n    [[1 0 0 0 0 0 0 0 0 0 0 0 0] # 1\n     [1 0 0 0 0 0 0 0 0 0 0 0 0] # 1\n     [1 0 0 0 0 0 0 0 0 0 0 0 0] # 1\n     [0 0 0 0 1 0 0 0 0 0 0 0 0] # 3\n     [1 0 0 0 0 0 0 0 0 0 0 0 0] # 1\n     [1 0 0 0 0 0 0 0 0 0 0 0 0] # 1\n     [1 0 0 0 0 0 0 0 0 0 0 0 0] # 1\n     [0 0 1 0 0 0 0 0 0 0 0 0 0] # 2\n     [1 0 0 0 0 0 0 0 0 0 0 0 0] # 1\n     [0 0 1 0 0 0 0 0 0 0 0 0 0] # 2\n     [1 0 0 0 0 0 0 0 0 0 0 0 0] # 1\n     [0 0 1 0 0 0 0 0 0 0 0 0 0] # 2\n     [1 0 0 0 0 0 0 0 0 0 0 0 0] # 1\n     [1 0 0 0 0 0 0 0 0 0 0 0 0] # 1\n     [1 0 0 0 0 0 0 0 0 0 0 0 0] # 1\n    ]\n\n\nFinally, the both ``Group`` and ``Wyckoff_position`` classes support the access of the symmetry element analysis via\n\n.. code-block:: Python\n\n    from pyxtal.symmetry import Group\n    g = Group(14)\n    ss_spg = g.get_spg_symmetry_object()\n    print('Space group symmetry table', g.number, g.symbol)\n    ss_spg.to_beautiful_matrix_representation()\n\n    for wp in g:\n        print('\\nWp symmetry table', wp.get_label())\n        ss_wp = wp.get_site_symmetry_object()\n        ss_wp.to_beautiful_matrix_representation()\n\n::\n\n    Space group symmetry table 14 P21/c\n    Order    Axis   1   -1  2   2_1  m   a   b   c   n   d   3  3_1  3_2  4  -4   \n    0 ( 0  1  0):   1   1   0   1    0   0   0   1   0   0   0  0    0    0  0 \n    \n    Wp symmetry table 4e\n    Order    Axis   1   -1  2   m    3   4   -4   Group\n    0 ( 0  1  0):   1   0   0   0    0   0   0    1\n    \n    Wp symmetry table 2d\n    Order    Axis   1   -1  2   m    3   4   -4   Group\n    0 ( 0  1  0):   1   1   0   0    0   0   0    -1\n    \n    Wp symmetry table 2c\n    Order    Axis   1   -1  2   m    3   4   -4   Group\n    0 ( 0  1  0):   1   1   0   0    0   0   0    -1\n    \n    Wp symmetry table 2b\n    Order    Axis   1   -1  2   m    3   4   -4   Group\n    0 ( 0  1  0):   1   1   0   0    0   0   0    -1\n    \n    Wp symmetry table 2a\n    Order    Axis   1   -1  2   m    3   4   -4   Group\n    0 ( 0  1  0):   1   1   0   0    0   0   0    -1\n    \n\nMore details on the symmetry table can be found in the `documentation <Wyckoff_positions.html>`_.\n"
  },
  {
    "path": "doc/conf.py",
    "content": "#\n# Configuration file for the Sphinx documentation builder.\n#\n# This file does only contain a selection of the most common options. For a\n# full list see the documentation:\n# http://www.sphinx-doc.org/en/master/config\n\n# -- Path setup --------------------------------------------------------------\n\n# If extensions (or modules to document with autodoc) are in another directory,\n# add these directories to sys.path here. If the directory is relative to the\n# documentation root, use os.path.abspath to make it absolute, like shown here.\n#\nimport os\nimport sys\nfrom unittest.mock import MagicMock\n\nsys.path.insert(0, os.path.abspath(\"../\"))\n# List of modules to mock\nMOCK_MODULES = ['torchani', 'lammps', 'pyshtools', 'mace', 'mace.calculators']\n\nclass Mock(MagicMock):\n    @classmethod\n    def __getattr__(cls, name):\n        return MagicMock()\n\nsys.modules.update((mod_name, Mock()) for mod_name in MOCK_MODULES)\n\n\n# -- Project information -----------------------------------------------------\n\nproject = \"PyXtal\"\ncopyright = \"Since 2018, Qiang Zhu, Scott Fredericks, Kevin Parrish\"\nauthor = \"Qiang Zhu, Scott Fredericks, Kevin Parrish\"\n\n# The short X.Y version\nversion = \"1.1.3\"\n# The full version, including alpha/beta/rc tags\nrelease = \"1.1.3\"\n\n# -- General configuration ---------------------------------------------------\n\n# If your documentation needs a minimal Sphinx version, state it here.\n#\n# needs_sphinx = '1.0'\n\n# Add any Sphinx extension module names here, as strings. They can be\n# extensions coming with Sphinx (named 'sphinx.ext.*') or your custom\n# ones.\nextensions = [\n    \"sphinx_rtd_theme\",\n    \"sphinx.ext.autodoc\",\n    \"sphinx.ext.todo\",\n    \"sphinx.ext.coverage\",\n    \"sphinx.ext.ifconfig\",\n    \"sphinx.ext.viewcode\",\n    \"sphinx.ext.githubpages\",\n    \"sphinx.ext.napoleon\",\n    \"sphinx.ext.autosectionlabel\",\n    \"sphinx.ext.mathjax\",\n]\n\n# Add any paths that contain templates here, relative to this directory.\ntemplates_path = [\"_templates\"]\n\n# The suffix(es) of source filenames.\n# You can specify multiple suffix as a list of string:\n#\n# source_suffix = ['.rst', '.md']\nsource_suffix = \".rst\"\n\n# The master toctree document.\nmaster_doc = \"index\"\n\n# The language for content autogenerated by Sphinx. Refer to documentation\n# for a list of supported languages.\n#\n# This is also used if you do content translation via gettext catalogs.\n# Usually you set \"language\" from the command line for these cases.\nlanguage = \"en\"\n\n# List of patterns, relative to source directory, that match files and\n# directories to ignore when looking for source files.\n# This pattern also affects html_static_path and html_extra_path .\nexclude_patterns = [\"_build\", \"Thumbs.db\", \".DS_Store\"]\n\n# The name of the Pygments (syntax highlighting) style to use.\npygments_style = \"sphinx\"\n\n\n# -- Options for HTML output -------------------------------------------------\n\n# The theme to use for HTML and HTML Help pages.  See the documentation for\n# a list of builtin themes.\n#\nhtml_theme = \"sphinx_rtd_theme\"\n\n# Theme options are theme-specific and customize the look and feel of a theme\n# further.  For a list of options available for each theme, see the\n# documentation.\n#\n# html_theme_options = {}\nhtml_theme_options = {\n    \"canonical_url\": \"\",\n    \"analytics_id\": \"\",\n    \"logo_only\": False,\n    \"display_version\": True,\n    \"prev_next_buttons_location\": \"bottom\",\n    \"style_external_links\": False,\n    \"style_nav_header_background\": \"#5BA887\",\n    #'style_nav_header_background': '#067BF8',\n    \"vcs_pageview_mode\": \"view\",\n    # Toc options\n    \"collapse_navigation\": False,\n    \"sticky_navigation\": False,\n    \"navigation_depth\": 4,\n    \"includehidden\": True,\n    \"titles_only\": False,\n}\nhtml_logo = \"../images/512px_type1.png\"\n\n# Add any paths that contain custom static files (such as style sheets) here,\n# relative to this directory. They are copied after the builtin static files,\n# so a file named \"default.css\" will overwrite the builtin \"default.css\".\nhtml_static_path = [\"_static\"]\n\n# Custom sidebar templates, must be a dictionary that maps document names\n# to template names.\n#\n# The default sidebars (for documents that don't match any pattern) are\n# defined by theme itself.  Builtin themes are using these templates by\n# default: ``['localtoc.html', 'relations.html', 'sourcelink.html',\n# 'searchbox.html']``.\n#\nhtml_sidebars = {\"**\": [\"localtoc.html\", \"relations.html\", \"searchbox.html\"]}\n\n\n# -- Options for HTMLHelp output ---------------------------------------------\n\n# Output file base name for HTML help builder.\nhtmlhelp_basename = \"PyXtaldoc\"\n\n\n# -- Options for LaTeX output ------------------------------------------------\n\nlatex_elements = {\n    # The paper size ('letterpaper' or 'a4paper').\n    #\n    # 'papersize': 'letterpaper',\n    # The font size ('10pt', '11pt' or '12pt').\n    #\n    # 'pointsize': '10pt',\n    # Additional stuff for the LaTeX preamble.\n    #\n    # 'preamble': '',\n    # Latex figure (float) alignment\n    #\n    # 'figure_align': 'htbp',\n}\n\n# Grouping the document tree into LaTeX files. List of tuples\n# (source start file, target name, title,\n#  author, documentclass [howto, manual, or own class]).\nlatex_documents = [\n    (\n        master_doc,\n        \"PyXtal.tex\",\n        \"PyXtal Documentation\",\n        \"Qiang Zhu, Scott Fredericks\",\n        \"manual\",\n    ),\n]\n\n# The name of an image file (relative to this directory) to place at the top of\n# the title page.\nlatex_logo = \"../images/512px_type1.png\"\n\n# -- Options for manual page output ------------------------------------------\n\n# One entry per manual page. List of tuples\n# (source start file, name, description, authors, manual section).\nman_pages = [(master_doc, \"pyxtal\", \"PyXtal Documentation\", [author], 1)]\n\n\n# -- Options for Texinfo output ----------------------------------------------\n\n# Grouping the document tree into Texinfo files. List of tuples\n# (source start file, target name, title, author,\n#  dir menu entry, description, category)\ntexinfo_documents = [\n    (\n        master_doc,\n        \"PyXtal\",\n        \"PyXtal Documentation\",\n        author,\n        \"PyXtal\",\n        \"One line description of project.\",\n        \"Miscellaneous\",\n    ),\n]\n\n\n# -- Extension configuration -------------------------------------------------\n"
  },
  {
    "path": "doc/files/all.cif",
    "content": "\r\n#######################################################################\r\n#\r\n#                 Cambridge Crystallographic Data Centre\r\n#                                CCDC\r\n#\r\n#######################################################################\r\n#\r\n# If this CIF has been generated from an entry in the Cambridge\r\n# Structural Database, then it will include bibliographic, chemical,\r\n# crystal, experimental, refinement or atomic coordinate data resulting\r\n# from the CCDC's data processing and validation procedures.\r\n#\r\n#######################################################################\r\n\r\ndata_CSD_CIF_HAHCOI\r\n_audit_creation_date 1994-03-15\r\n_audit_creation_method CSD-ConQuest-V1\r\n_database_code_CSD HAHCOI\r\n_database_code_depnum_ccdc_archive 'CCDC 1171543'\r\n_chemical_formula_sum 'C12 H6 S2'\r\n_chemical_formula_moiety\r\n;\r\nC12 H6 S2\r\n;\r\n_journal_coden_Cambridge 241\r\n_journal_year 1993\r\n_journal_page_first 365\r\n_journal_name_full 'Chem.Lett. '\r\nloop_\r\n_publ_author_name\r\n\"K.Takimiya\"\r\n\"F.Yashiki\"\r\n\"Y.Aso\"\r\n\"T.Otsubo\"\r\n\"F.Ogura\"\r\n_chemical_name_systematic\r\n;\r\nNaphtho(1,8-bc:4,5-b'c')dithiophene\r\n;\r\n_chemical_melting_point 460.15\r\n_cell_volume    453.272\r\n_exptl_crystal_colour 'orange'\r\n_exptl_crystal_density_diffrn 1.571\r\n_exptl_special_details\r\n;\r\nMelts with decomposition.\r\n\r\n;\r\n_exptl_crystal_description 'needle'\r\n_exptl_crystal_preparation 'chloroform/hexane'\r\n_diffrn_ambient_temperature ?\r\n_diffrn_special_details\r\n;\r\nThe study was carried out at room temperature,in the range 283-303K\r\n\r\n;\r\n#These two values have been output from a single CSD field.\r\n_refine_ls_R_factor_gt 0.042\r\n_refine_ls_wR_factor_gt 0.042\r\n_symmetry_cell_setting monoclinic\r\n_symmetry_space_group_name_H-M 'P 21'\r\n_symmetry_Int_Tables_number 4\r\nloop_\r\n_symmetry_equiv_pos_site_id\r\n_symmetry_equiv_pos_as_xyz\r\n1 x,y,z\r\n2 -x,1/2+y,-z\r\n_cell_length_a 7.837(1)\r\n_cell_length_b 4.128\r\n_cell_length_c 14.035(4)\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 93.35(6)\r\n_cell_angle_gamma 90\r\n_cell_formula_units_Z 2\r\nloop_\r\n_atom_type_symbol\r\n_atom_type_radius_bond\r\nC 0.68\r\nH 0.23\r\nS 1.02\r\nloop_\r\n_atom_site_label\r\n_atom_site_type_symbol\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\nS1 S 0.66465(11) 0.58211 0.94070(2)\r\nC1 C 0.80971(47) 0.3893(12) 0.87202(25)\r\nC2 C 0.98442(49) 0.3110(14) 0.88645(28)\r\nC3 C 1.06631(50) 0.1400(14) 0.81872(28)\r\nC4 C 0.97754(46) 0.0477(13) 0.73275(25)\r\nS2 S 1.03698(13) -0.16588(44) 0.63204(7)\r\nC5 C 0.83589(52) -0.1341(17) 0.57602(26)\r\nC6 C 0.72107(50) 0.0292(13) 0.6313(1)\r\nC7 C 0.54110(53) 0.1138(16) 0.61855(28)\r\nC8 C 0.46019(52) 0.2818(13) 0.68467(29)\r\nC9 C 0.54744(43) 0.3822(13) 0.77512(25)\r\nC10 C 0.49757(47) 0.5459(15) 0.85512(29)\r\nC11 C 0.72390(44) 0.2979(13) 0.78703(25)\r\nC12 C 0.80575(46) 0.1256(13) 0.71884(25)\r\nH1 H 1.03710 0.38557 0.93674\r\nH2 H 1.17610 0.09162 0.82903\r\nH3 H 0.81570 -0.23800 0.52034\r\nH4 H 0.49091 0.04585 0.56568\r\nH5 H 0.35434 0.32937 0.66847\r\nH6 H 0.42053 0.59755 0.86131\r\n#END\r\n####################################################################### \r\n# \r\n# This file contains crystal structure data downloaded from the \r\n# Cambridge Structural Database (CSD) hosted by the Cambridge \r\n# Crystallographic Data Centre (CCDC).\r\n# \r\n# Full information about CCDC data access policies and citation \r\n# guidelines are available at http://www.ccdc.cam.ac.uk/access/V1 \r\n# \r\n# Audit and citation data items may have been added by the CCDC. \r\n# Please retain this information to preserve the provenance of \r\n# this file and to allow appropriate attribution of the data. \r\n# \r\n#######################################################################\r\n\r\ndata_final6_new_labels\r\n_audit_block_doi                 10.5517/cc8jpzf\r\n_database_code_depnum_ccdc_archive 'CCDC 254385'\r\nloop_\r\n_citation_id\r\n_citation_doi\r\n_citation_year\r\n1 10.1021/jo048010w 2005\r\n_audit_update_record             \r\n;\r\n2004-11-01 deposited with the CCDC.\t2020-08-10 downloaded from the CCDC.\r\n;\r\n\r\n_audit_creation_method           SHELXL-97\r\n_chemical_name_systematic        \r\n;\r\nThieno[2,3-f:5,4-f']bis[1]benzothiophene\r\n;\r\n_chemical_name_common            Thieno(2,3-f:5,4-f')bis(1)benzothiophene\r\n_chemical_melting_point          '237-238 C'\r\n_chemical_formula_moiety         'C16 H8 S3'\r\n_chemical_formula_sum            'C16 H8 S3'\r\n_chemical_formula_weight         296.40\r\n\r\nloop_\r\n_atom_type_symbol\r\n_atom_type_description\r\n_atom_type_scat_dispersion_real\r\n_atom_type_scat_dispersion_imag\r\n_atom_type_scat_source\r\nC C 0.0033 0.0016 'International Tables Vol C Tables 4.2.6.8 and 6.1.1.4'\r\nH H 0.0000 0.0000 'International Tables Vol C Tables 4.2.6.8 and 6.1.1.4'\r\nS S 0.1246 0.1234 'International Tables Vol C Tables 4.2.6.8 and 6.1.1.4'\r\n\r\n_symmetry_cell_setting           orthorhombic\r\n_symmetry_space_group_name_H-M   Pmn2(1)\r\n\r\nloop_\r\n_symmetry_equiv_pos_as_xyz\r\n'x, y, z'\r\n'-x+1/2, -y, z+1/2'\r\n'x+1/2, -y, z+1/2'\r\n'-x, y, z'\r\n\r\n_cell_length_a                   25.6814(5)\r\n_cell_length_b                   6.0774(1)\r\n_cell_length_c                   3.8911(1)\r\n_cell_angle_alpha                90.00\r\n_cell_angle_beta                 90.00\r\n_cell_angle_gamma                90.00\r\n_cell_volume                     607.31(2)\r\n_cell_formula_units_Z            2\r\n_cell_measurement_temperature    120(1)\r\n_cell_measurement_reflns_used    6077\r\n_cell_measurement_theta_min      3.15\r\n_cell_measurement_theta_max      35.2\r\n\r\n_exptl_crystal_description       plate\r\n_exptl_crystal_colour            'pale yellow'\r\n_exptl_crystal_size_max          0.30\r\n_exptl_crystal_size_mid          0.20\r\n_exptl_crystal_size_min          0.08\r\n_exptl_crystal_density_meas      ?\r\n_exptl_crystal_density_diffrn    1.621\r\n_exptl_crystal_density_method    'not measured'\r\n_exptl_crystal_F_000             304\r\n_exptl_absorpt_coefficient_mu    0.588\r\n_exptl_absorpt_correction_type   multi-scan\r\n_exptl_absorpt_correction_T_min  0.79\r\n_exptl_absorpt_correction_T_max  1.00\r\n_exptl_absorpt_process_details   \r\nSADABS;Sheldrick1996;Blessing,ActaC.1995,A51,33\r\n\r\n\r\n_exptl_special_details           \r\n;\r\n?\r\n;\r\n\r\n_diffrn_ambient_temperature      120(1)\r\n_diffrn_radiation_wavelength     0.71073\r\n_diffrn_radiation_type           MoK\\a\r\n_diffrn_radiation_source         'fine-focus sealed tube'\r\n_diffrn_radiation_monochromator  graphite\r\n_diffrn_measurement_device_type  'Bruker Smart6000'\r\n_diffrn_measurement_method       'omega scans'\r\n_diffrn_detector_area_resol_mean ?\r\n_diffrn_standards_number         n.a.\r\n_diffrn_standards_interval_count n.a.\r\n_diffrn_standards_interval_time  n.a.\r\n_diffrn_standards_decay_%        ?\r\n_diffrn_reflns_number            3308\r\n_diffrn_reflns_av_R_equivalents  0.0177\r\n_diffrn_reflns_av_sigmaI/netI    0.0259\r\n_diffrn_reflns_limit_h_min       -40\r\n_diffrn_reflns_limit_h_max       39\r\n_diffrn_reflns_limit_k_min       -8\r\n_diffrn_reflns_limit_k_max       8\r\n_diffrn_reflns_limit_l_min       -1\r\n_diffrn_reflns_limit_l_max       6\r\n_diffrn_reflns_theta_min         3.17\r\n_diffrn_reflns_theta_max         35.17\r\n_reflns_number_total             1418\r\n_reflns_number_gt                1372\r\n_reflns_threshold_expression     >2sigma(I)\r\n\r\n_computing_data_collection       'SMART V.5.630'\r\n_computing_cell_refinement       'SAINT V6.45A'\r\n_computing_data_reduction        'SAINT V6.45A'\r\n_computing_structure_solution    'SHELXS-97 (Sheldrick, 1990)'\r\n_computing_structure_refinement  'SHELXL-97 (Sheldrick, 1997)'\r\n_computing_molecular_graphics    'Diamond 2.1e'\r\n_computing_publication_material  ?\r\n\r\n_refine_special_details          \r\n;\r\nRefinement of F^2^ against ALL reflections. The weighted R-factor wR and\r\ngoodness of fit S are based on F^2^, conventional R-factors R are based\r\non F, with F set to zero for negative F^2^. The threshold expression of\r\nF^2^ > 2sigma(F^2^) is used only for calculating R-factors(gt) etc. and is\r\nnot relevant to the choice of reflections for refinement. R-factors based\r\non F^2^ are statistically about twice as large as those based on F, and R-\r\nfactors based on ALL data will be even larger.\r\n;\r\n\r\n_refine_ls_structure_factor_coef Fsqd\r\n_refine_ls_matrix_type           full\r\n_refine_ls_weighting_scheme      calc\r\n_refine_ls_weighting_details     \r\n'calc w=1/[\\s^2^(Fo^2^)+(0.0341P)^2^+0.1744P] where P=(Fo^2^+2Fc^2^)/3'\r\n_atom_sites_solution_primary     direct\r\n_atom_sites_solution_secondary   difmap\r\n_atom_sites_solution_hydrogens   difmap\r\n_refine_ls_hydrogen_treatment    refall\r\n_refine_ls_extinction_method     none\r\n_refine_ls_extinction_coef       ?\r\n_refine_ls_abs_structure_details 'Flack H D (1983), Acta Cryst. A39, 876-881'\r\n_refine_ls_abs_structure_Flack   0.18(17)\r\n_refine_ls_number_reflns         1418\r\n_refine_ls_number_parameters     105\r\n_refine_ls_number_restraints     1\r\n_refine_ls_R_factor_all          0.0276\r\n_refine_ls_R_factor_gt           0.0263\r\n_refine_ls_wR_factor_ref         0.0694\r\n_refine_ls_wR_factor_gt          0.0687\r\n_refine_ls_goodness_of_fit_ref   1.102\r\n_refine_ls_restrained_S_all      1.101\r\n_refine_ls_shift/su_max          0.001\r\n_refine_ls_shift/su_mean         0.000\r\n\r\nloop_\r\n_atom_site_label\r\n_atom_site_type_symbol\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\n_atom_site_U_iso_or_equiv\r\n_atom_site_adp_type\r\n_atom_site_occupancy\r\n_atom_site_symmetry_multiplicity\r\n_atom_site_calc_flag\r\n_atom_site_refinement_flags\r\n_atom_site_disorder_assembly\r\n_atom_site_disorder_group\r\nS(1) S 0.165156(12) 1.50690(6) -0.36925(18) 0.01495(9) Uani 1 1 d . . .\r\nS(2) S 0.0000 0.84417(8) 0.18015(16) 0.01419(11) Uani 1 2 d S . .\r\nC(1) C 0.21178(6) 1.3118(3) -0.2611(5) 0.0175(3) Uani 1 1 d . . .\r\nH(1) H 0.2473(10) 1.338(4) -0.332(9) 0.033(6) Uiso 1 1 d . . .\r\nC(2) C 0.19166(6) 1.1295(3) -0.1125(5) 0.0163(3) Uani 1 1 d . . .\r\nH(2) H 0.2100(9) 1.013(3) -0.031(8) 0.020(6) Uiso 1 1 d . . .\r\nC(3) C 0.13563(6) 1.1384(3) -0.0826(5) 0.0139(3) Uani 1 1 d . . .\r\nC(4) C 0.10180(6) 0.9796(3) 0.0519(5) 0.0148(3) Uani 1 1 d . . .\r\nH(4) H 0.1145(8) 0.841(4) 0.146(9) 0.024(6) Uiso 1 1 d . . .\r\nC(5) C 0.04882(6) 1.0238(2) 0.0393(5) 0.0128(3) Uani 1 1 d . . .\r\nC(6) C 0.02834(5) 1.2209(2) -0.1017(5) 0.0122(2) Uani 1 1 d . . .\r\nC(7) C 0.06201(5) 1.3813(3) -0.2291(5) 0.0130(3) Uani 1 1 d . . .\r\nH(7) H 0.0483(8) 1.517(3) -0.307(8) 0.014(6) Uiso 1 1 d . . .\r\nC(8) C 0.11539(6) 1.3383(2) -0.2170(5) 0.0131(3) Uani 1 1 d . . .\r\n\r\nloop_\r\n_atom_site_aniso_label\r\n_atom_site_aniso_U_11\r\n_atom_site_aniso_U_22\r\n_atom_site_aniso_U_33\r\n_atom_site_aniso_U_23\r\n_atom_site_aniso_U_13\r\n_atom_site_aniso_U_12\r\nS(1) 0.01175(14) 0.01439(17) 0.01872(16) 0.00094(13) 0.00075(14) -0.00023(10)\r\nS(2) 0.01510(19) 0.0111(2) 0.0163(2) 0.0030(2) 0.000 0.000\r\nC(1) 0.0122(5) 0.0193(7) 0.0210(8) -0.0020(6) -0.0001(5) 0.0015(5)\r\nC(2) 0.0125(6) 0.0168(7) 0.0197(7) -0.0004(6) -0.0016(5) 0.0028(5)\r\nC(3) 0.0130(5) 0.0132(6) 0.0156(6) -0.0011(6) -0.0015(5) 0.0019(5)\r\nC(4) 0.0152(6) 0.0127(7) 0.0163(7) 0.0008(5) -0.0010(5) 0.0022(5)\r\nC(5) 0.0143(6) 0.0104(6) 0.0136(6) 0.0005(5) -0.0003(5) 0.0002(4)\r\nC(6) 0.0118(5) 0.0114(6) 0.0133(6) 0.0005(5) -0.0002(5) 0.0003(4)\r\nC(7) 0.0111(5) 0.0115(6) 0.0164(6) 0.0009(5) -0.0002(5) 0.0005(4)\r\nC(8) 0.0123(5) 0.0117(7) 0.0151(6) 0.0001(5) -0.0001(5) 0.0006(4)\r\n\r\n_geom_special_details            \r\n;\r\nAll esds (except the esd in the dihedral angle between two l.s. planes)\r\nare estimated using the full covariance matrix. The cell esds are taken\r\ninto account individually in the estimation of esds in distances, angles\r\nand torsion angles; correlations between esds in cell parameters are only\r\nused when they are defined by crystal symmetry. An approximate (isotropic)\r\ntreatment of cell esds is used for estimating esds involving l.s. planes.\r\n;\r\n\r\nloop_\r\n_geom_bond_atom_site_label_1\r\n_geom_bond_atom_site_label_2\r\n_geom_bond_distance\r\n_geom_bond_site_symmetry_2\r\n_geom_bond_publ_flag\r\nS(1) C(1) 1.7368(16) . ?\r\nS(1) C(8) 1.7418(16) . ?\r\nS(2) C(5) 1.7506(16) . ?\r\nS(2) C(5) 1.7506(16) 4 ?\r\nC(1) C(2) 1.352(2) . ?\r\nC(1) H(1) 0.97(3) . ?\r\nC(2) C(3) 1.444(2) . ?\r\nC(2) H(2) 0.91(2) . ?\r\nC(3) C(4) 1.400(2) . ?\r\nC(3) C(8) 1.421(2) . ?\r\nC(4) C(5) 1.388(2) . ?\r\nC(4) H(4) 0.97(2) . ?\r\nC(5) C(6) 1.419(2) . ?\r\nC(6) C(7) 1.394(2) . ?\r\nC(6) C(6) 1.456(3) 4 ?\r\nC(7) C(8) 1.396(2) . ?\r\nC(7) H(7) 0.94(2) . ?\r\n\r\nloop_\r\n_geom_angle_atom_site_label_1\r\n_geom_angle_atom_site_label_2\r\n_geom_angle_atom_site_label_3\r\n_geom_angle\r\n_geom_angle_site_symmetry_1\r\n_geom_angle_site_symmetry_3\r\n_geom_angle_publ_flag\r\nC(1) S(1) C(8) 91.25(8) . . ?\r\nC(5) S(2) C(5) 91.48(10) . 4 ?\r\nC(2) C(1) S(1) 113.54(11) . . ?\r\nC(2) C(1) H(1) 128.3(16) . . ?\r\nS(1) C(1) H(1) 117.8(16) . . ?\r\nC(1) C(2) C(3) 112.62(14) . . ?\r\nC(1) C(2) H(2) 126.2(15) . . ?\r\nC(3) C(2) H(2) 121.1(15) . . ?\r\nC(4) C(3) C(8) 119.99(13) . . ?\r\nC(4) C(3) C(2) 128.51(14) . . ?\r\nC(8) C(3) C(2) 111.49(14) . . ?\r\nC(5) C(4) C(3) 117.49(14) . . ?\r\nC(5) C(4) H(4) 120.6(13) . . ?\r\nC(3) C(4) H(4) 121.9(13) . . ?\r\nC(4) C(5) C(6) 122.74(14) . . ?\r\nC(4) C(5) S(2) 124.77(12) . . ?\r\nC(6) C(5) S(2) 112.47(11) . . ?\r\nC(7) C(6) C(5) 119.86(13) . . ?\r\nC(7) C(6) C(6) 128.34(8) . 4 ?\r\nC(5) C(6) C(6) 111.76(8) . 4 ?\r\nC(6) C(7) C(8) 117.79(14) . . ?\r\nC(6) C(7) H(7) 119.4(13) . . ?\r\nC(8) C(7) H(7) 122.7(13) . . ?\r\nC(7) C(8) C(3) 122.10(14) . . ?\r\nC(7) C(8) S(1) 126.78(12) . . ?\r\nC(3) C(8) S(1) 111.08(11) . . ?\r\n\r\n_diffrn_measured_fraction_theta_max 0.865\r\n_diffrn_reflns_theta_full        35.17\r\n_diffrn_measured_fraction_theta_full 0.865\r\n_refine_diff_density_max         0.514\r\n_refine_diff_density_min         -0.281\r\n_refine_diff_density_rms         0.064\r\n\r\n\r\n\r\n####################################################################### \r\n# \r\n# This file contains crystal structure data downloaded from the \r\n# Cambridge Structural Database (CSD) hosted by the Cambridge \r\n# Crystallographic Data Centre (CCDC).\r\n# \r\n# Full information about CCDC data access policies and citation \r\n# guidelines are available at http://www.ccdc.cam.ac.uk/access/V1 \r\n# \r\n# Audit and citation data items may have been added by the CCDC. \r\n# Please retain this information to preserve the provenance of \r\n# this file and to allow appropriate attribution of the data. \r\n# \r\n#######################################################################\r\n\r\ndata_III\r\n_audit_block_doi                 10.5517/cc1krrbd\r\n_database_code_depnum_ccdc_archive 'CCDC 1452794'\r\nloop_\r\n_citation_id\r\n_citation_doi\r\n_citation_year\r\n1 10.1107/S2056989016002516 2016\r\n_audit_update_record             \r\n;\r\n2016-02-10 deposited with the CCDC.\t2020-08-10 downloaded from the CCDC.\r\n;\r\n_publcif_datablock.id            {e36841c8-0f44-4f8c-8b4e-16409682ab03}\r\n\r\n# clave Lab: Bis-Iminas IV-R\r\n# clave original: bimivr (ICUAP)\r\n# clave refinamiento: BIM-IV-R_MO (IFUAP)\r\n\r\n_database_code_CAS               ?\r\n_database_code_CSD               ?\r\n\r\n_audit_creation_method           SHELXL-2014/7\r\n_shelx_SHELXL_version_number     2014/7\r\n_audit_creation_date             2016-01-07\r\n\r\n_chemical_name_systematic        \r\n;\r\n2,5-Bis[((R)-(-)-(4-fluoro)phenylethyl)iminomethyl]thiophene\r\n;\r\n_chemical_name_common            ?\r\n_chemical_melting_point          420\r\n_chemical_formula_moiety         'C22 H20 F2 N2 S'\r\n_chemical_formula_sum            'C22 H20 F2 N2 S'\r\n_chemical_formula_weight         382.46\r\n_chemical_compound_source        ?\r\n_chemical_absolute_configuration ad\r\n\r\n_chemical_optical_rotation       '[\\a]^20^~D~ = -542.5 (c=1, CHCl~3~)'\r\n\r\n_chemical_properties_physical    ?\r\n_chemical_properties_biological  ?\r\nloop_\r\n_atom_type_symbol\r\n_atom_type_description\r\n_atom_type_scat_dispersion_real\r\n_atom_type_scat_dispersion_imag\r\n_atom_type_scat_source\r\nC C 0.0033 0.0016 'International Tables Vol C Tables 4.2.6.8 and 6.1.1.4'\r\nH H 0.0000 0.0000 'International Tables Vol C Tables 4.2.6.8 and 6.1.1.4'\r\nF F 0.0171 0.0103 'International Tables Vol C Tables 4.2.6.8 and 6.1.1.4'\r\nN N 0.0061 0.0033 'International Tables Vol C Tables 4.2.6.8 and 6.1.1.4'\r\nS S 0.1246 0.1234 'International Tables Vol C Tables 4.2.6.8 and 6.1.1.4'\r\n\r\n_space_group_crystal_system      orthorhombic\r\n_space_group_IT_number           18\r\n_space_group_name_H-M_alt        'P 21 21 2'\r\n_space_group_name_Hall           'P 2 2ab'\r\n\r\n_shelx_space_group_comment       ?\r\n\r\nloop_\r\n_space_group_symop_operation_xyz\r\n'x, y, z'\r\n'-x, -y, z'\r\n'x+1/2, -y+1/2, -z'\r\n'-x+1/2, y+1/2, -z'\r\n\r\n_cell_length_a                   21.1153(16)\r\n_cell_length_b                   7.7846(6)\r\n_cell_length_c                   6.1343(5)\r\n_cell_angle_alpha                90\r\n_cell_angle_beta                 90\r\n_cell_angle_gamma                90\r\n_cell_volume                     1008.32(14)\r\n_cell_formula_units_Z            2\r\n_cell_measurement_temperature    298(2)\r\n_cell_measurement_reflns_used    2744\r\n_cell_measurement_theta_max      23.1870\r\n_cell_measurement_theta_min      3.8190\r\n\r\n_exptl_crystal_description       prism\r\n_exptl_crystal_colour            colourless\r\n_exptl_crystal_density_meas      ?\r\n_exptl_crystal_density_method    ?\r\n_exptl_crystal_density_diffrn    1.260\r\n_exptl_crystal_F_000             400\r\n_exptl_transmission_factor_min   ?\r\n_exptl_transmission_factor_max   ?\r\n_exptl_crystal_size_max          0.8923\r\n_exptl_crystal_size_mid          0.4743\r\n_exptl_crystal_size_min          0.3253\r\n_exptl_absorpt_coefficient_mu    0.186\r\n_shelx_estimated_absorpt_T_min   ?\r\n_shelx_estimated_absorpt_T_max   ?\r\n_exptl_absorpt_correction_type   analytical\r\n_exptl_absorpt_correction_T_min  0.904\r\n_exptl_absorpt_correction_T_max  0.958\r\n_exptl_absorpt_process_details   'CrysAlisPro, (Agilent, 2013)'\r\n\r\n_diffrn_ambient_temperature      298(2)\r\n_diffrn_ambient_environment      air\r\n_diffrn_radiation_wavelength     0.71073\r\n_diffrn_radiation_type           MoK\\a\r\n_diffrn_source                   'Enhance (Mo) X-ray Source'\r\n_diffrn_radiation_probe          x-ray\r\n_diffrn_radiation_monochromator  graphite\r\n_diffrn_measurement_device       'four-circle diffractometer'\r\n_diffrn_measurement_device_type  'Agilent Xcalibur (Atlas, Gemini)'\r\n_diffrn_detector                 'CCD plate'\r\n_diffrn_detector_type            Atlas\r\n_diffrn_measurement_method       '\\w scans'\r\n_diffrn_detector_area_resol_mean 10.5564\r\n_diffrn_reflns_number            12336\r\n_diffrn_reflns_av_unetI/netI     0.0421\r\n_diffrn_reflns_av_R_equivalents  0.0578\r\n_diffrn_reflns_limit_h_min       -26\r\n_diffrn_reflns_limit_h_max       26\r\n_diffrn_reflns_limit_k_min       -9\r\n_diffrn_reflns_limit_k_max       9\r\n_diffrn_reflns_limit_l_min       -7\r\n_diffrn_reflns_limit_l_max       7\r\n_diffrn_reflns_theta_min         3.842\r\n_diffrn_reflns_theta_max         26.368\r\n_diffrn_reflns_theta_full        25.242\r\n_diffrn_measured_fraction_theta_max 0.996\r\n_diffrn_measured_fraction_theta_full 0.995\r\n_diffrn_reflns_Laue_measured_fraction_max 0.996\r\n_diffrn_reflns_Laue_measured_fraction_full 0.995\r\n_diffrn_reflns_point_group_measured_fraction_max 0.998\r\n_diffrn_reflns_point_group_measured_fraction_full 0.997\r\n\r\n_diffrn_orient_matrix_UB_11      -0.0295565000\r\n_diffrn_orient_matrix_UB_12      0.0379686000\r\n_diffrn_orient_matrix_UB_13      0.0263684000\r\n_diffrn_orient_matrix_UB_21      0.0141479000\r\n_diffrn_orient_matrix_UB_22      0.0825776000\r\n_diffrn_orient_matrix_UB_23      -0.0037781000\r\n_diffrn_orient_matrix_UB_31      -0.0073881000\r\n_diffrn_orient_matrix_UB_32      0.0061226000\r\n_diffrn_orient_matrix_UB_33      -0.1125503000\r\n\r\n_diffrn_measurement_details      \r\n;\r\n#__ type_ start__ end____ width___ exp.time_\r\n  1 omega  -60.00  -14.00   1.0000    1.0000\r\nomega____ theta____ kappa____ phi______ frames\r\n    -      -11.2235  -57.0000 -150.0000 46\r\n\r\n#__ type_ start__ end____ width___ exp.time_\r\n  2 omega   -1.00   80.00   1.0000    1.0000\r\nomega____ theta____ kappa____ phi______ frames\r\n    -       13.2548   38.0000 -180.0000 81\r\n\r\n#__ type_ start__ end____ width___ exp.time_\r\n  3 omega -100.00  -53.00   1.0000    1.0000\r\nomega____ theta____ kappa____ phi______ frames\r\n    -      -11.2235  178.0000 -120.0000 47\r\n\r\n#__ type_ start__ end____ width___ exp.time_\r\n  4 omega  -90.00   22.00   1.0000    1.0000\r\nomega____ theta____ kappa____ phi______ frames\r\n    -      -11.2235  -77.0000  -30.0000 112\r\n\r\n#__ type_ start__ end____ width___ exp.time_\r\n  5 omega  -25.00   55.00   1.0000    1.0000\r\nomega____ theta____ kappa____ phi______ frames\r\n    -       13.2548  -99.0000 -120.0000 80\r\n\r\n#__ type_ start__ end____ width___ exp.time_\r\n  6 omega  -63.00    1.00   1.0000    1.0000\r\nomega____ theta____ kappa____ phi______ frames\r\n    -       13.2548  -38.0000    0.0000 64\r\n\r\n#__ type_ start__ end____ width___ exp.time_\r\n  7 omega  -25.00   55.00   1.0000    1.0000\r\nomega____ theta____ kappa____ phi______ frames\r\n    -       13.2548  -99.0000  150.0000 80\r\n;\r\n\r\n_reflns_number_total             2067\r\n_reflns_number_gt                1591\r\n_reflns_threshold_expression     'I > 2\\s(I)'\r\n_reflns_Friedel_coverage         0.678\r\n_reflns_Friedel_fraction_max     1.000\r\n_reflns_Friedel_fraction_full    1.000\r\n\r\n_reflns_special_details          ?\r\n\r\n_computing_data_collection       'CrysAlis PRO (Agilent, 2013)'\r\n_computing_cell_refinement       'CrysAlis PRO'\r\n_computing_data_reduction        'CrysAlis PRO'\r\n_computing_structure_solution    'SHELXS-2014/7 (Sheldrick, 2015)'\r\n_computing_structure_refinement  'SHELXL-2014/7 (Sheldrick, 2015)'\r\n_computing_molecular_graphics    'MERCURY (Macrae et al., 2008)'\r\n_computing_publication_material  SHELXL-2014/7\r\n\r\n_refine_special_details          ?\r\n\r\n_refine_ls_structure_factor_coef Fsqd\r\n_refine_ls_matrix_type           full\r\n_refine_ls_weighting_scheme      calc\r\n_refine_ls_weighting_details     \r\n'w=1/[\\s^2^(Fo^2^)+(0.0384P)^2^+0.0613P] where P=(Fo^2^+2Fc^2^)/3'\r\n_atom_sites_solution_primary     direct\r\n_atom_sites_solution_secondary   difmap\r\n_atom_sites_solution_hydrogens   geom\r\n_refine_ls_hydrogen_treatment    constr\r\n_refine_ls_extinction_method     none\r\n_refine_ls_extinction_coef       .\r\n_refine_ls_abs_structure_details \r\n;\r\n Flack x determined using 518 quotients [(I+)-(I-)]/[(I+)+(I-)]\r\n (Parsons et al., 2013).\r\n;\r\n_refine_ls_abs_structure_Flack   0.07(6)\r\n_refine_ls_number_reflns         2067\r\n_refine_ls_number_parameters     124\r\n_refine_ls_number_restraints     0\r\n_refine_ls_R_factor_all          0.0704\r\n_refine_ls_R_factor_gt           0.0439\r\n_refine_ls_wR_factor_ref         0.0918\r\n_refine_ls_wR_factor_gt          0.0820\r\n_refine_ls_goodness_of_fit_ref   1.061\r\n_refine_ls_restrained_S_all      1.061\r\n_refine_ls_shift/su_max          0.000\r\n_refine_ls_shift/su_mean         0.000\r\n\r\nloop_\r\n_atom_site_label\r\n_atom_site_type_symbol\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\n_atom_site_U_iso_or_equiv\r\n_atom_site_adp_type\r\n_atom_site_occupancy\r\n_atom_site_site_symmetry_order\r\n_atom_site_calc_flag\r\n_atom_site_refinement_flags_posn\r\n_atom_site_refinement_flags_adp\r\n_atom_site_refinement_flags_occupancy\r\n_atom_site_disorder_assembly\r\n_atom_site_disorder_group\r\nS1 S 0.5000 0.0000 1.06817(15) 0.0479(3) Uani 1 2 d S T P . .\r\nF1 F 0.85802(10) 0.3203(3) 0.5731(5) 0.1163(9) Uani 1 1 d . . . . .\r\nN1 N 0.58698(11) 0.3119(3) 1.0120(4) 0.0498(6) Uani 1 1 d . . . . .\r\nC2 C 0.56853(13) 0.2830(4) 1.2046(5) 0.0479(8) Uani 1 1 d . . . . .\r\nH2A H 0.5795 0.3610 1.3130 0.057 Uiso 1 1 calc R U . . .\r\nC3 C 0.53102(13) 0.1344(4) 1.2646(4) 0.0461(8) Uani 1 1 d . . . . .\r\nC4 C 0.51751(14) 0.0774(4) 1.4690(4) 0.0556(8) Uani 1 1 d . . . . .\r\nH4A H 0.5300 0.1342 1.5953 0.067 Uiso 1 1 calc R U . . .\r\nC5 C 0.62513(14) 0.4679(4) 0.9770(5) 0.0568(8) Uani 1 1 d . . . . .\r\nH5A H 0.6336 0.5216 1.1185 0.068 Uiso 1 1 calc R U . . .\r\nC6 C 0.58661(16) 0.5931(5) 0.8368(7) 0.0829(12) Uani 1 1 d . . . . .\r\nH6A H 0.5476 0.6200 0.9094 0.124 Uiso 1 1 calc R U . . .\r\nH6B H 0.5777 0.5412 0.6983 0.124 Uiso 1 1 calc R U . . .\r\nH6C H 0.6105 0.6967 0.8149 0.124 Uiso 1 1 calc R U . . .\r\nC7 C 0.68777(14) 0.4223(3) 0.8702(5) 0.0462(7) Uani 1 1 d . . . . .\r\nC8 C 0.74419(15) 0.4799(4) 0.9563(5) 0.0577(8) Uani 1 1 d . . . . .\r\nH8A H 0.7436 0.5427 1.0852 0.069 Uiso 1 1 calc R U . . .\r\nC9 C 0.80144(15) 0.4470(4) 0.8567(7) 0.0697(10) Uani 1 1 d . . . . .\r\nH9A H 0.8391 0.4873 0.9163 0.084 Uiso 1 1 calc R U . . .\r\nC10 C 0.80134(17) 0.3551(5) 0.6707(7) 0.0689(10) Uani 1 1 d . . . . .\r\nC11 C 0.74733(18) 0.2932(4) 0.5777(5) 0.0654(9) Uani 1 1 d . . . . .\r\nH11A H 0.7489 0.2301 0.4491 0.078 Uiso 1 1 calc R U . . .\r\nC12 C 0.69042(15) 0.3265(4) 0.6789(5) 0.0543(8) Uani 1 1 d . . . . .\r\nH12A H 0.6532 0.2843 0.6184 0.065 Uiso 1 1 calc R U . . .\r\n\r\nloop_\r\n_atom_site_aniso_label\r\n_atom_site_aniso_U_11\r\n_atom_site_aniso_U_22\r\n_atom_site_aniso_U_33\r\n_atom_site_aniso_U_23\r\n_atom_site_aniso_U_13\r\n_atom_site_aniso_U_12\r\nS1 0.0499(6) 0.0559(6) 0.0379(5) 0.000 0.000 -0.0056(6)\r\nF1 0.0687(14) 0.1167(19) 0.164(2) -0.030(2) 0.0485(15) -0.0047(14)\r\nN1 0.0452(14) 0.0502(15) 0.0540(16) -0.0028(11) 0.0032(11) -0.0082(12)\r\nC2 0.0405(16) 0.054(2) 0.0489(18) -0.0073(16) -0.0043(14) -0.0028(15)\r\nC3 0.0388(15) 0.0544(19) 0.0452(17) -0.0024(14) -0.0013(13) -0.0011(15)\r\nC4 0.056(2) 0.071(2) 0.0396(15) -0.0040(14) -0.0020(13) -0.0115(15)\r\nC5 0.0545(18) 0.0513(19) 0.0647(18) -0.0111(16) 0.0112(15) -0.0104(16)\r\nC6 0.065(2) 0.060(2) 0.123(3) 0.016(2) 0.023(2) 0.0111(19)\r\nC7 0.0468(17) 0.0403(15) 0.0514(17) 0.0001(13) 0.0002(14) -0.0063(14)\r\nC8 0.0576(19) 0.0492(17) 0.0662(19) -0.0104(18) 0.0002(16) -0.0090(17)\r\nC9 0.047(2) 0.064(2) 0.099(3) -0.007(2) -0.0023(19) -0.0114(17)\r\nC10 0.054(2) 0.058(2) 0.095(3) 0.001(2) 0.021(2) -0.0009(18)\r\nC11 0.075(2) 0.063(2) 0.0577(19) -0.0053(18) 0.011(2) 0.000(2)\r\nC12 0.0499(18) 0.0573(19) 0.0557(18) -0.0020(16) -0.0063(16) -0.0058(17)\r\n\r\n_geom_special_details            ?\r\n\r\nloop_\r\n_geom_bond_atom_site_label_1\r\n_geom_bond_atom_site_label_2\r\n_geom_bond_distance\r\n_geom_bond_site_symmetry_2\r\n_geom_bond_publ_flag\r\nS1 C3 1.725(3) 2_655 ?\r\nS1 C3 1.725(3) . ?\r\nF1 C10 1.365(4) . ?\r\nN1 C2 1.264(4) . ?\r\nN1 C5 1.473(4) . ?\r\nC2 C3 1.450(4) . ?\r\nC2 H2A 0.9300 . ?\r\nC3 C4 1.360(4) . ?\r\nC4 C4 1.414(6) 2_655 ?\r\nC4 H4A 0.9300 . ?\r\nC5 C7 1.518(4) . ?\r\nC5 C6 1.533(5) . ?\r\nC5 H5A 0.9800 . ?\r\nC6 H6A 0.9600 . ?\r\nC6 H6B 0.9600 . ?\r\nC6 H6C 0.9600 . ?\r\nC7 C8 1.378(4) . ?\r\nC7 C12 1.392(4) . ?\r\nC8 C9 1.378(4) . ?\r\nC8 H8A 0.9300 . ?\r\nC9 C10 1.347(5) . ?\r\nC9 H9A 0.9300 . ?\r\nC10 C11 1.363(5) . ?\r\nC11 C12 1.377(4) . ?\r\nC11 H11A 0.9300 . ?\r\nC12 H12A 0.9300 . ?\r\n\r\nloop_\r\n_geom_angle_atom_site_label_1\r\n_geom_angle_atom_site_label_2\r\n_geom_angle_atom_site_label_3\r\n_geom_angle\r\n_geom_angle_site_symmetry_1\r\n_geom_angle_site_symmetry_3\r\n_geom_angle_publ_flag\r\nC3 S1 C3 91.4(2) 2_655 . ?\r\nC2 N1 C5 116.8(3) . . ?\r\nN1 C2 C3 123.2(3) . . ?\r\nN1 C2 H2A 118.4 . . ?\r\nC3 C2 H2A 118.4 . . ?\r\nC4 C3 C2 127.5(3) . . ?\r\nC4 C3 S1 111.5(2) . . ?\r\nC2 C3 S1 120.9(2) . . ?\r\nC3 C4 C4 112.81(18) . 2_655 ?\r\nC3 C4 H4A 123.6 . . ?\r\nC4 C4 H4A 123.6 2_655 . ?\r\nN1 C5 C7 110.3(2) . . ?\r\nN1 C5 C6 108.4(2) . . ?\r\nC7 C5 C6 111.6(2) . . ?\r\nN1 C5 H5A 108.8 . . ?\r\nC7 C5 H5A 108.8 . . ?\r\nC6 C5 H5A 108.8 . . ?\r\nC5 C6 H6A 109.5 . . ?\r\nC5 C6 H6B 109.5 . . ?\r\nH6A C6 H6B 109.5 . . ?\r\nC5 C6 H6C 109.5 . . ?\r\nH6A C6 H6C 109.5 . . ?\r\nH6B C6 H6C 109.5 . . ?\r\nC8 C7 C12 117.6(3) . . ?\r\nC8 C7 C5 120.8(3) . . ?\r\nC12 C7 C5 121.6(3) . . ?\r\nC7 C8 C9 121.9(3) . . ?\r\nC7 C8 H8A 119.1 . . ?\r\nC9 C8 H8A 119.1 . . ?\r\nC10 C9 C8 118.2(3) . . ?\r\nC10 C9 H9A 120.9 . . ?\r\nC8 C9 H9A 120.9 . . ?\r\nC9 C10 C11 122.9(3) . . ?\r\nC9 C10 F1 118.4(3) . . ?\r\nC11 C10 F1 118.7(3) . . ?\r\nC10 C11 C12 118.4(3) . . ?\r\nC10 C11 H11A 120.8 . . ?\r\nC12 C11 H11A 120.8 . . ?\r\nC11 C12 C7 121.1(3) . . ?\r\nC11 C12 H12A 119.5 . . ?\r\nC7 C12 H12A 119.5 . . ?\r\n\r\nloop_\r\n_geom_torsion_atom_site_label_1\r\n_geom_torsion_atom_site_label_2\r\n_geom_torsion_atom_site_label_3\r\n_geom_torsion_atom_site_label_4\r\n_geom_torsion\r\n_geom_torsion_site_symmetry_1\r\n_geom_torsion_site_symmetry_2\r\n_geom_torsion_site_symmetry_3\r\n_geom_torsion_site_symmetry_4\r\n_geom_torsion_publ_flag\r\nC5 N1 C2 C3 -179.6(2) . . . . ?\r\nN1 C2 C3 C4 168.6(3) . . . . ?\r\nN1 C2 C3 S1 -8.7(4) . . . . ?\r\nC3 S1 C3 C4 -0.29(16) 2_655 . . . ?\r\nC3 S1 C3 C2 177.4(3) 2_655 . . . ?\r\nC2 C3 C4 C4 -176.7(3) . . . 2_655 ?\r\nS1 C3 C4 C4 0.8(4) . . . 2_655 ?\r\nC2 N1 C5 C7 124.5(3) . . . . ?\r\nC2 N1 C5 C6 -113.0(3) . . . . ?\r\nN1 C5 C7 C8 -129.0(3) . . . . ?\r\nC6 C5 C7 C8 110.4(3) . . . . ?\r\nN1 C5 C7 C12 53.2(4) . . . . ?\r\nC6 C5 C7 C12 -67.4(4) . . . . ?\r\nC12 C7 C8 C9 1.0(5) . . . . ?\r\nC5 C7 C8 C9 -176.9(3) . . . . ?\r\nC7 C8 C9 C10 -0.4(5) . . . . ?\r\nC8 C9 C10 C11 -0.2(5) . . . . ?\r\nC8 C9 C10 F1 -179.1(3) . . . . ?\r\nC9 C10 C11 C12 0.0(6) . . . . ?\r\nF1 C10 C11 C12 179.0(3) . . . . ?\r\nC10 C11 C12 C7 0.6(5) . . . . ?\r\nC8 C7 C12 C11 -1.1(4) . . . . ?\r\nC5 C7 C12 C11 176.7(3) . . . . ?\r\n\r\n_refine_diff_density_max         0.149\r\n_refine_diff_density_min         -0.249\r\n_refine_diff_density_rms         0.038\r\n\r\n_shelx_res_file                  \r\n;\r\n\r\n    BIM-IV-R_MO.res created by SHELXL-2014/7\r\n\r\n\r\nTITL BIM-IV-R_MO in P21212 #18\r\nREM reset to P21212 #18\r\nCELL 0.71073  21.1153  7.7846  6.1343  90  90  90\r\nZERR 2         0.0016  0.0006  0.0005   0   0   0\r\nLATT -1\r\nSYMM -X,-Y,+Z\r\nSYMM 0.5+X,0.5-Y,-Z\r\nSYMM 0.5-X,0.5+Y,-Z\r\nSFAC C H F N S\r\nUNIT 44 40 4 4 2\r\n\r\nOMIT     1   0   1\r\nOMIT     0   0   1\r\nOMIT     2   1   0\r\n\r\nACTA\r\n\r\nL.S. 12\r\n\r\nBOND $H\r\nCONF\r\n\r\nFMAP 2\r\nPLAN 15\r\n\r\nWGHT    0.038400    0.061300\r\nFVAR      11.02408\r\nS1    5    0.500000    0.000000    1.068167    10.50000    0.04993    0.05588 =\r\n         0.03792    0.00000    0.00000   -0.00556\r\nF1    3    0.858016    0.320337    0.573105    11.00000    0.06868    0.11669 =\r\n         0.16362   -0.03014    0.04849   -0.00469\r\nN1    4    0.586978    0.311885    1.012008    11.00000    0.04521    0.05016 =\r\n         0.05399   -0.00282    0.00324   -0.00819\r\nC2    1    0.568525    0.283027    1.204566    11.00000    0.04045    0.05436 =\r\n         0.04890   -0.00726   -0.00435   -0.00280\r\nAFIX  43\r\nH2A   2    0.579544    0.360959    1.313033    11.00000   -1.20000\r\nAFIX   0\r\nC3    1    0.531019    0.134367    1.264617    11.00000    0.03878    0.05440 =\r\n         0.04520   -0.00239   -0.00127   -0.00111\r\nC4    1    0.517507    0.077394    1.469024    11.00000    0.05600    0.07117 =\r\n         0.03957   -0.00405   -0.00204   -0.01152\r\nAFIX  43\r\nH4A   2    0.529973    0.134205    1.595299    11.00000   -1.20000\r\nAFIX   0\r\nC5    1    0.625129    0.467931    0.977008    11.00000    0.05445    0.05126 =\r\n         0.06472   -0.01110    0.01119   -0.01045\r\nAFIX  13\r\nH5A   2    0.633617    0.521634    1.118516    11.00000   -1.20000\r\nAFIX   0\r\nC6    1    0.586614    0.593148    0.836801    11.00000    0.06514    0.06016 =\r\n         0.12337    0.01586    0.02303    0.01107\r\nAFIX 137\r\nH6A   2    0.547578    0.619981    0.909444    11.00000   -1.50000\r\nH6B   2    0.577652    0.541203    0.698258    11.00000   -1.50000\r\nH6C   2    0.610499    0.696654    0.814923    11.00000   -1.50000\r\nAFIX   0\r\nC7    1    0.687770    0.422324    0.870220    11.00000    0.04681    0.04032 =\r\n         0.05138    0.00010    0.00022   -0.00631\r\nC8    1    0.744187    0.479883    0.956277    11.00000    0.05760    0.04920 =\r\n         0.06625   -0.01036    0.00019   -0.00901\r\nAFIX  43\r\nH8A   2    0.743621    0.542688    1.085227    11.00000   -1.20000\r\nAFIX   0\r\nC9    1    0.801439    0.447035    0.856703    11.00000    0.04691    0.06382 =\r\n         0.09850   -0.00688   -0.00229   -0.01139\r\nAFIX  43\r\nH9A   2    0.839117    0.487273    0.916337    11.00000   -1.20000\r\nAFIX   0\r\nC10   1    0.801342    0.355078    0.670680    11.00000    0.05383    0.05770 =\r\n         0.09504    0.00058    0.02089   -0.00091\r\nC11   1    0.747330    0.293209    0.577684    11.00000    0.07542    0.06290 =\r\n         0.05775   -0.00530    0.01136    0.00015\r\nAFIX  43\r\nH11A  2    0.748873    0.230086    0.449078    11.00000   -1.20000\r\nAFIX   0\r\nC12   1    0.690416    0.326497    0.678899    11.00000    0.04991    0.05729 =\r\n         0.05567   -0.00200   -0.00625   -0.00575\r\nAFIX  43\r\nH12A  2    0.653151    0.284258    0.618422    11.00000   -1.20000\r\n\r\nAFIX   0\r\nHKLF 4\r\n\r\nREM  BIM-IV-R_MO in P21212 #18\r\nREM R1 =  0.0439 for    1591 Fo > 4sig(Fo)  and  0.0704 for all    2067 data\r\nREM    124 parameters refined using      0 restraints\r\n\r\nEND\r\n\r\nWGHT      0.0378      0.0621\r\n\r\nREM Highest difference peak  0.149,  deepest hole -0.249,  1-sigma level  0.038\r\nQ1    1   0.5000  0.0000  0.7900  10.50000  0.05    0.15\r\nQ2    1   0.5000  0.5000  1.2515  10.50000  0.05    0.14\r\nQ3    1   0.5395  0.6393  1.1882  11.00000  0.05    0.13\r\nQ4    1   0.8320  0.3653  0.4237  11.00000  0.05    0.13\r\nQ5    1   0.5572 -0.0226  1.8101  11.00000  0.05    0.12\r\nQ6    1   0.5994  0.2743  1.1107  11.00000  0.05    0.12\r\nQ7    1   0.5706  0.7959  0.9902  11.00000  0.05    0.11\r\nQ8    1   0.8327  0.4371  1.0937  11.00000  0.05    0.11\r\nQ9    1   0.5609  0.0622  1.5638  11.00000  0.05    0.11\r\nQ10   1   0.7514  0.1299  0.5004  11.00000  0.05    0.11\r\nQ11   1   0.7194  0.6138  1.1183  11.00000  0.05    0.11\r\nQ12   1   0.8127  0.4799  0.4204  11.00000  0.05    0.11\r\nQ13   1   0.6340  0.2493  0.4688  11.00000  0.05    0.10\r\nQ14   1   0.5492  0.5294  1.3019  11.00000  0.05    0.10\r\nQ15   1   0.5415  0.0616  1.3461  11.00000  0.05    0.10\r\n;\r\n_shelx_res_checksum              63132\r\n\r\n_shelx_hkl_file                  \r\n;\r\n   0   0  -1-0.63875 3541.28   7\r\n   0   0   1 1732.69 2658.21   2\r\n   0   0  -1 10031.1 3408.11   5\r\n   0   0  -2 229323. 4390.98   7\r\n   0   0   2 230256. 3210.95   2\r\n   0   0  -3 13151.2 1320.89   5\r\n   0   0  -3 15234.9 1481.96   7\r\n   0   0   3 15321.7 1378.22   5\r\n   0   0   3 13980.7 1023.89   2\r\n   0   0   4 2463.55 961.690   3\r\n   0   0   4 2296.18 697.949   4\r\n   0   0  -4 1580.90 708.096   5\r\n   0   0   4 1990.28 776.153   5\r\n   0   0  -4 1903.01 775.080   7\r\n   0   0   4 3066.26 880.414   7\r\n   0   0   4 2707.79 586.409   2\r\n   0   0   4 2722.26 641.580   1\r\n   0   0  -5 844.596 971.088   5\r\n   0   0   5 40.3117 436.008   2\r\n   0   0  -5 464.044 848.094   7\r\n   0   0   5-90.6999 651.568   1\r\n   0   0   5 279.731 763.283   4\r\n   0   0   6-188.035 744.357   4\r\n   0   0   6 1090.68 369.941   2\r\n   0   0   6 88.9819 599.335   1\r\n   0   0  -6-159.188 672.266   5\r\n   0   0   7-863.469 914.019   4\r\n   0   0   7 132.924 638.884   1\r\n   0   0  -7 416.182 1070.50   5\r\n   0  -1  -1 942576. 4476.71   2\r\n   0   1   1 933420. 4230.23   6\r\n   0   1   2 113219. 1926.35   2\r\n   0  -1  -2 113667. 2042.31   2\r\n   0   1  -2 111747. 2749.79   5\r\n   0  -1  -2 100943. 3042.47   5\r\n   0  -1  -2 100387. 3031.96   7\r\n   0   1   2 111952. 2206.00   4\r\n   0   1  -2 112927. 3044.48   7\r\n   0  -1   2 110661. 2764.15   5\r\n   0   1   3 165459. 3524.85   4\r\n   0  -1   3 162207. 3890.34   2\r\n   0  -1  -3 164397. 3047.91   2\r\n   0   1  -3 165696. 4232.66   5\r\n   0  -1   3 167045. 4489.38   7\r\n   0   1   3 173405. 3986.54   1\r\n   0   1  -3 166803. 4665.83   7\r\n   0   1   3 172699. 2989.26   2\r\n   0  -1   3 167792. 4298.54   5\r\n   0  -1  -3 170917. 4788.25   7\r\n   0  -1  -3 167040. 4678.06   5\r\n   0   1   4 29536.2 2853.73   3\r\n   0   1   4 24951.6 1811.97   1\r\n   0   1  -4 25078.0 2226.56   7\r\n   0   1  -4 22375.2 1904.03   5\r\n   0  -1   4 27159.8 2208.06   7\r\n   0   1   4 22239.0 1277.49   2\r\n   0   1   4 26066.3 1730.21   4\r\n   0  -1  -4 27444.0 2320.25   7\r\n   0  -1  -4 24288.1 2160.84   5\r\n   0  -1   4 26100.4 2116.79   5\r\n   0  -1   4 22788.7 1671.12   2\r\n   0   1   4 27222.2 2212.67   5\r\n   0   1  -5 16313.2 2097.40   7\r\n   0  -1   5 17829.3 1444.41   1\r\n   0   1   5 15649.6 1626.82   4\r\n   0   1   5 17901.7 1815.63   1\r\n   0   1  -5 14036.8 1840.38   5\r\n   0  -1  -5 16919.9 2103.74   5\r\n   0  -1   5 15784.1 1593.54   2\r\n   0   1   5 15723.2 1233.36   2\r\n   0   1   6 709.694 695.952   4\r\n   0  -1   6 135.148 494.375   2\r\n   0   1  -6-2119.09 1255.40   7\r\n   0  -1  -6 1320.80 1150.84   5\r\n   0  -1   6 25.6182 751.289   6\r\n   0   1   6-264.504 352.218   2\r\n   0  -1   6 70.0055 528.218   1\r\n   0  -1   6 649.930 744.278   4\r\n   0   1   6 245.888 737.162   1\r\n   0   1  -7 1688.77 1270.45   7\r\n   0  -1  -7 1309.30 1288.74   5\r\n   0  -1   7 761.692 1088.89   4\r\n   0   1   7 1197.56 797.174   1\r\n   0   1   7 782.190 847.953   4\r\n   0  -2   0 47781.1 1435.52   1\r\n   0   2   1 642521. 5572.15   6\r\n   0  -2  -1 657128. 5535.11   6\r\n   0  -2   1 696869. 4012.68   1\r\n   0   2   1 688282. 4613.20   4\r\n   0   2  -1 719494. 5712.09   7\r\n   0  -2  -1 688720. 4135.00   4\r\n   0  -2  -1 706200. 6749.09   5\r\n   0   2   2 93686.2 1624.50   4\r\n   0  -2   2 101704. 2756.57   7\r\n   0  -2   2 97437.4 2585.88   5\r\n   0  -2  -2 94903.4 1755.22   4\r\n   0   2  -2 87653.5 2778.79   7\r\n   0   2   2 94905.8 1894.79   6\r\n   0  -2  -2 95705.8 3157.03   5\r\n   0   2   2 102299. 3155.53   3\r\n   0  -2  -2 92443.4 2047.12   2\r\n   0  -2  -3 5224.96 1084.55   5\r\n   0   2   3 4730.85 444.133   6\r\n   0  -2  -3 4992.08 604.305   2\r\n   0  -2   3 5237.81 874.678   7\r\n   0   2   3 4109.40 534.399   4\r\n   0  -2   3 3924.91 772.472   5\r\n   0   2   3 6782.27 1131.65   3\r\n   0   2   3 5486.65 922.317   1\r\n   0   2  -3 3737.37 888.261   7\r\n   0  -2  -4 1530.81 379.217   2\r\n   0   2   4-100.481 422.842   3\r\n   0  -2   4 1733.15 659.456   7\r\n   0   2   4 1924.46 712.558   1\r\n   0  -2   4 2326.28 703.544   5\r\n   0  -2  -4 1755.32 756.506   5\r\n   0   2   4 1051.73 238.049   6\r\n   0  -2   4 1558.79 684.092   2\r\n   0   2  -4 1896.71 742.431   7\r\n   0   2   4 1588.80 466.279   4\r\n   0  -2  -5 18906.2 2255.20   5\r\n   0   2   5 22797.4 1695.44   4\r\n   0  -2   5 19109.0 1902.89   2\r\n   0  -2   5 19787.1 1249.44   1\r\n   0   2   5 20790.8 2083.93   1\r\n   0   2   5 18212.3 694.729   6\r\n   0   2   5 17917.4 696.478   6\r\n   0   2  -5 20112.2 2344.08   7\r\n   0  -2   5 14192.9 1847.27   6\r\n   0   2  -6 4354.94 1116.30   7\r\n   0  -2  -6 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2590.11   7\r\n   0   4   3 1966.39 792.234   7\r\n   0  -4   3 2924.58 1061.62   3\r\n   0  -4   3 2146.50 1010.89   6\r\n   0  -4  -3 1880.33 300.422   4\r\n   0   4   3 2103.10 912.107   1\r\n   0  -4  -3 1663.22 861.578   5\r\n   0   4   3 1881.46 607.253   3\r\n   0  -4  -3 2608.06 561.902   2\r\n   0   4  -3 1159.81 676.723   7\r\n   0  -4   3 2033.94 646.969   5\r\n   0  -4  -4-205.817 597.406   5\r\n   0   4  -4-898.927 646.985   7\r\n   0  -4  -4 103.958 234.746   2\r\n   0   4   4-99.7580 65.1598   4\r\n   0  -4   4 305.184 591.644   5\r\n   0   4   4 457.576 345.857   3\r\n   0   4   4-98.4197 698.659   1\r\n   0   4   5 2055.14 309.547   4\r\n   0  -4  -5 1052.92 1088.46   5\r\n   0   4   5 2826.61 1068.73   1\r\n   0  -4   5 1038.83 983.143   5\r\n   0   4  -5 2104.16 1004.50   7\r\n   0   4   5 2209.57 783.453   3\r\n   0  -4   5 1366.72 854.863   2\r\n   0   4  -6 3274.80 1199.48   7\r\n   0  -4   6 1838.80 953.325   2\r\n   0  -4  -6-31.0819 1318.76   5\r\n   0   4   6 1010.12 1148.57   1\r\n   0  -5   0 11.2640 83.0316   3\r\n   0  -5   0-647.941 430.568   5\r\n   0  -5   0-143.447 496.281   6\r\n   0  -5   0 88.2861 348.060   4\r\n   0   5   0 363.580 461.449   1\r\n   0   5  -1 143.968 365.149   1\r\n   0  -5   1 411.777 649.546   6\r\n   0  -5   1 574.008 365.502   3\r\n   0  -5  -1 520.488 474.649   5\r\n   0  -5  -1 518.709 441.348   4\r\n   0  -5  -1 693.116 519.966   6\r\n   0   5   1-137.552 549.481   1\r\n   0  -5   2 11271.2 1646.88   3\r\n   0   5  -2 11554.2 1231.69   7\r\n   0  -5  -2 9834.08 1422.16   5\r\n   0  -5  -2 9767.59 1218.35   6\r\n   0   5   2 12175.1 1544.09   1\r\n   0  -5  -2 10857.5 894.742   4\r\n   0  -5  -3 30120.5 1948.50   6\r\n   0  -5  -3 27825.0 2549.03   5\r\n   0   5  -3 30060.1 2308.18   7\r\n   0  -5  -3 28766.9 1103.75   4\r\n   0   5   3 29111.1 2488.01   1\r\n   0  -5  -3 28639.9 1879.53   2\r\n   0  -5   3 31346.8 3136.63   3\r\n   0  -5  -4 18703.2 1564.45   2\r\n   0   5  -4 17385.4 2064.72   7\r\n   0  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658.421   1\r\n   0   7  -3-719.923 699.035   7\r\n   0  -7  -3 53.8645 437.155   5\r\n   0   7   3-383.986 757.725   1\r\n   0   7   4 16457.9 2307.13   1\r\n   0   7  -4 12673.6 1950.80   7\r\n   0  -7  -4 9605.31 1998.58   5\r\n   0   7  -5 2769.66 1273.67   7\r\n   0  -7  -5 4777.20 1555.29   5\r\n   0   7   5 5476.64 1617.42   1\r\n   0  -8   0 2625.13 758.917   5\r\n   0   8   0 513.386 594.861   1\r\n   0  -8   1 124.110 647.559   5\r\n   0   8  -1 1656.38 680.198   7\r\n   0  -8  -1 1153.01 672.166   5\r\n   0   8   1-398.700 876.321   1\r\n   0  -8  -2 44.1395 808.422   5\r\n   0   8  -2-1080.31 629.501   7\r\n   0   8   2 201.301 703.284   1\r\n   0   8  -3 47.5730 629.666   7\r\n   0   8   3 752.142 964.499   1\r\n   0   8   4-2283.86 1379.68   1\r\n   0   8  -4-1722.89 967.965   7\r\n   0  -9   0-339.119 472.955   5\r\n   0   9   0-56.3614 532.444   1\r\n   0   9  -1 178.638 541.842   7\r\n   0   9   1 1315.00 831.144   1\r\n   0  -9   1-936.819 733.026   5\r\n   0  -9  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1674.44   6\r\n   1   1  -5 16765.3 1907.33   5\r\n   1  -1   5 17477.2 1651.42   2\r\n  -1   1   5 15739.1 1724.17   1\r\n   1   1  -5 15198.8 2147.02   7\r\n   1  -1   5 15356.5 1878.27   4\r\n   1  -1   5 15828.8 1381.73   1\r\n  -1   1   5 17806.0 1424.66   2\r\n  -1  -1  -5 14643.2 2038.77   5\r\n  -1   1   5 15470.8 1587.38   4\r\n   1  -1   4 1103.93 725.096   5\r\n  -1  -1  -4 1204.85 761.531   5\r\n   1  -1   4 1068.58 504.865   6\r\n   1  -1   4 505.149 646.227   3\r\n  -1   1   4 1512.54 595.152   4\r\n  -1   1   4 2142.00 734.830   5\r\n   1   1  -4 1100.05 596.495   5\r\n  -1   1   4 1013.73 445.859   2\r\n   1   1  -4 1235.17 740.937   7\r\n  -1   1   4 1004.81 635.915   7\r\n  -1   1   4 1905.72 660.567   1\r\n   1  -1   4 1117.18 513.066   2\r\n   1  -1   4 827.718 749.305   7\r\n   1  -1   3 56027.3 2585.73   5\r\n  -1   1   3 57145.8 1936.52   2\r\n  -1  -1  -3 51338.0 2724.80   5\r\n   1   1  -3 56440.8 2770.35   7\r\n  -1   1   3 53974.0 1974.57   4\r\n   1  -1   3 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1146.58   5\r\n  -1  -2   7 1107.48 777.098   2\r\n   1   2   7 278.255 949.635   1\r\n   1  -2  -7 967.707 842.850   5\r\n  -1  -2   7 184.155 979.793   4\r\n  -1   2  -7-706.415 708.223   7\r\n  -1  -3  -7 3189.82 1459.10   5\r\n   1   3  -7 4903.03 1834.85   7\r\n   1  -3   7 4549.96 1202.28   2\r\n   1  -3   7 3701.55 1474.82   4\r\n  -1   3   7 4240.98 1256.57   1\r\n  -1   3   6 95.0542 812.484   1\r\n   1  -3   6-1322.11 794.460   2\r\n  -1  -3  -6 810.254 1223.60   5\r\n   1   3  -6 1095.21 1234.00   7\r\n  -1  -3  -5 534.243 251.227   2\r\n   1  -3   5 1335.23 521.166   2\r\n  -1   3   5 1024.75 756.127   1\r\n  -1   3   5 1214.86 237.517   6\r\n  -1  -3  -5 429.710 774.584   5\r\n  -1   3   5 615.799 328.164   4\r\n   1  -3   5 1321.82 295.513   1\r\n   1   3  -5 1067.49 865.063   7\r\n   1  -3   4 767.882 720.564   5\r\n  -1  -3  -4 2436.24 475.337   2\r\n   1   3  -4 2694.81 966.612   7\r\n  -1   3   4 2732.63 968.387   1\r\n   1  -3   4 2171.26 756.066   7\r\n  -1  -3  -4 2295.04 842.119   5\r\n  -1   3   4 1992.67 756.816   3\r\n   1  -3   4 1410.17 836.106   6\r\n  -1   3   4 2104.10 345.811   4\r\n  -1   3   4 2338.38 434.277   6\r\n  -1  -3  -3 1952.87 722.232   5\r\n   1   3  -3 1889.41 658.717   7\r\n   1  -3   3 1445.01 597.422   7\r\n  -1   3   3 1201.03 502.839   3\r\n  -1   3   3 1973.21 466.888   6\r\n  -1  -3  -3 1784.33 414.194   2\r\n   1  -3   3 857.289 713.633   3\r\n  -1   3   3 1332.31 198.151   4\r\n  -1   3   3 1457.94 594.234   7\r\n  -1  -3  -3 1334.29 344.013   4\r\n   1  -3   3 1359.47 609.929   5\r\n   1  -3   3 2858.17 812.351   6\r\n  -1   3   3 2204.69 721.514   1\r\n   1   3  -2 94074.1 3020.08   7\r\n  -1   3   2 93308.4 2732.18   3\r\n  -1  -3  -2 81065.0 3204.31   5\r\n  -1  -3  -2 97093.1 2091.47   4\r\n  -1   3   2 86834.2 3042.62   7\r\n  -1   3   2 88421.2 2565.53   6\r\n   1  -3   2 91567.8 4001.52   3\r\n  -1  -3  -2 92979.2 2340.31   6\r\n   1  -3   2 90923.8 2731.38   7\r\n   1  -3   2 89000.0 1800.09   1\r\n  -1  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1382.27   7\r\n   1  -3  -7 3346.68 1579.22   5\r\n   1   3   7 3711.96 1304.44   1\r\n  -1  -3   7 3793.10 1014.97   2\r\n   1   4  -6 1509.22 1065.76   7\r\n   1  -4   6 3213.14 1198.24   2\r\n  -1  -4  -6 1511.49 1060.07   5\r\n  -1   4   6 1829.87 1266.39   1\r\n  -1  -4  -5-43.3884 581.360   5\r\n   1   4  -5 677.471 644.360   7\r\n  -1   4   5 401.571 916.212   1\r\n  -1   4   4 3663.19 886.493   3\r\n   1  -4   4 1377.62 595.165   5\r\n  -1  -4  -4 1744.06 469.605   2\r\n   1  -4   4 1683.91 212.841   1\r\n  -1   4   4 1917.85 877.158   1\r\n   1   4  -4 1926.80 961.636   7\r\n  -1   4   4 2300.83 497.839   6\r\n  -1  -4  -4 1305.67 793.031   5\r\n   1  -4   4 2568.08 855.987   7\r\n  -1  -4  -3 23798.0 1178.60   4\r\n  -1  -4  -3 24771.2 1479.06   2\r\n  -1   4   3 27526.4 1863.16   3\r\n   1  -4   3 25595.2 1904.32   7\r\n   1  -4   3 28350.6 2871.52   3\r\n  -1  -4  -3 23914.6 1377.09   6\r\n   1   4  -3 24244.0 2011.89   7\r\n   1  -4   3 26642.3 2503.94   6\r\n   1  -4   3 25362.9 995.872   1\r\n  -1   4   3 24356.9 1567.66   6\r\n  -1  -4  -3 23308.8 2208.07   5\r\n  -1   4   3 25435.1 2083.88   7\r\n  -1   4   3 26720.1 2201.98   1\r\n  -1   4   2 48848.7 1519.23   3\r\n  -1   4   2 46210.7 2257.35   6\r\n   1   4  -2 48227.1 2296.13   7\r\n  -1  -4  -2 44711.2 2066.74   6\r\n  -1  -4  -2 43468.9 2554.54   5\r\n   1  -4   2 49928.9 3135.37   3\r\n   1  -4   2 44784.8 1574.24   1\r\n  -1  -4  -2 42776.8 1585.60   4\r\n   1   4  -1 105882. 2505.96   1\r\n  -1  -4  -1 102622. 3309.46   5\r\n   1  -4   1 100756. 2678.31   1\r\n  -1  -4  -1 110466. 3531.77   6\r\n  -1   4   1 107311. 3596.07   6\r\n   1  -4   1 108045. 3479.20   3\r\n  -1  -4  -1 103393. 2816.09   4\r\n  -1   4   1 105477. 3415.23   1\r\n  -1   4   0 35821.3 1788.16   1\r\n   1  -4   0 36802.2 2304.70   6\r\n  -1  -4   0 33228.2 1629.92   5\r\n   1   4   0 35094.3 1761.61   1\r\n  -1  -4   0 37280.5 2111.69   4\r\n  -1  -4   0 33046.5 2201.98   6\r\n   1  -4   0 31024.3 1706.71   1\r\n   1  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1237.27   3\r\n  -1   5   2 29448.4 2322.48   1\r\n   1   5  -2 27158.2 1925.59   7\r\n  -1  -5  -2 30291.8 1547.70   4\r\n  -1  -5  -2 28706.3 2315.90   5\r\n   1  -5   2 26644.6 1450.76   1\r\n   1  -5   2 28112.7 2468.05   3\r\n  -1  -5  -2 28623.9 2021.80   6\r\n  -1   5   1 4420.93 874.839   1\r\n  -1  -5  -1 5577.91 812.577   4\r\n   1  -5   1 4803.61 812.573   3\r\n   1  -5   1 4877.08 742.128   1\r\n  -1  -5  -1 4137.46 817.464   5\r\n   1   5  -1 4650.90 707.830   1\r\n   1  -5   1 4677.93 1173.20   6\r\n  -1  -5  -1 4086.48 908.504   6\r\n  -1   5   0 263.071 386.098   1\r\n  -1  -5   0 181.684 365.318   5\r\n  -1  -5   0 214.919 483.873   4\r\n   1   5   0 501.502 464.839   1\r\n  -1  -5   0 800.690 664.777   6\r\n  -1  -5   0-50.7512 113.148   3\r\n   1  -5   0 89.4044 449.474   6\r\n   1  -5  -1 5579.43 980.020   5\r\n   1  -5  -1 4527.74 722.029   4\r\n   1   5   1 5117.70 982.708   1\r\n   1  -5  -1 4070.01 924.987   6\r\n  -1   5  -1 4499.81 723.221   7\r\n  -1  -5   1 5457.30 1145.39   6\r\n  -1  -5   1 2445.95 662.088   3\r\n   1  -5  -2 26778.1 2235.71   5\r\n  -1   5  -2 29674.2 1898.07   7\r\n   1  -5  -2 29743.2 2147.65   6\r\n   1   5   2 29175.9 2317.97   1\r\n   1  -5  -2 29942.0 1335.97   4\r\n   1  -5  -3 4731.11 854.527   6\r\n  -1   5  -3 4230.64 984.333   7\r\n   1  -5  -3 6203.02 965.765   2\r\n   1   5   3 4968.63 1182.15   1\r\n  -1  -5   3 3621.81 1389.58   3\r\n   1  -5  -3 5937.02 1235.29   5\r\n   1  -5  -4 14100.8 1439.52   2\r\n   1   5   4 13146.7 2035.47   1\r\n   1  -5  -4 10517.0 1914.78   5\r\n  -1  -5   4 12574.5 1511.19   5\r\n  -1   5  -4 11461.5 1628.82   7\r\n   1  -5  -5 1812.23 879.604   5\r\n  -1  -5   5 2667.22 1024.45   2\r\n  -1   5  -5 2346.99 1004.91   7\r\n   1   5   5 2098.74 1088.72   1\r\n   1  -5  -6 2671.81 1376.61   5\r\n  -1  -5   6 3037.80 1512.39   2\r\n  -1   5  -6 4083.46 1511.14   7\r\n   1   5   6 4251.61 1565.62   1\r\n  -1  -6  -6-326.089 943.249   5\r\n   1   6  -6-5.21545 497.698   7\r\n   1  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1261.26   1\r\n   1  -6  -6-605.453 704.126   5\r\n  -1   6  -6 321.808 989.359   7\r\n  -1  -7  -5-656.515 945.553   5\r\n  -1   7   5-1822.36 1077.35   1\r\n   1   7  -5 1629.94 875.929   7\r\n   1   7  -4 1036.94 596.451   7\r\n  -1   7   4-474.899 1068.90   1\r\n  -1  -7  -4 2254.00 1207.73   5\r\n   1   7  -3-8.92707 755.581   7\r\n  -1  -7  -3 822.176 747.159   5\r\n  -1   7   3 395.565 838.474   1\r\n   1   7  -2 906.180 697.177   7\r\n  -1  -7  -2 470.259 384.558   4\r\n  -1  -7  -2 762.563 527.936   5\r\n   1  -7   2 803.245 690.113   3\r\n  -1   7   2 474.974 869.374   1\r\n  -1  -7  -1 16945.2 1917.38   5\r\n  -1  -7  -1 16377.0 1696.11   4\r\n  -1   7   1 16418.9 1905.58   1\r\n   1   7  -1 15884.6 1714.77   7\r\n   1   7  -1 15875.4 1538.19   1\r\n   1  -7   0 20687.5 1943.71   5\r\n   1   7   0 20704.8 1952.07   1\r\n   1  -7   0 21465.5 2282.12   4\r\n  -1   7   0 23432.4 2005.52   1\r\n  -1  -7   0 18084.4 2149.08   4\r\n  -1  -7   0 21363.0 1945.77   5\r\n   1   7   1 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1037.92   7\r\n   2  -2   3 6070.49 1013.40   6\r\n  -2   2   3 6747.56 536.358   4\r\n  -2  -2  -3 6107.62 479.513   2\r\n   2   2  -2 27659.4 1653.92   7\r\n  -2  -2  -2 25341.0 1186.50   4\r\n  -2  -2  -2 27423.1 888.251   2\r\n  -2  -2  -2 25616.5 731.333   6\r\n   2  -2   2 27393.3 1747.26   6\r\n  -2   2   2 26914.3 1659.51   7\r\n   2  -2   2 24010.3 1358.07   7\r\n  -2   2   2 27600.6 1331.34   6\r\n  -2  -2  -2 25791.1 1725.80   5\r\n   2  -2   2 26199.0 2072.31   3\r\n  -2  -2  -1 247206. 3478.41   3\r\n  -2  -2  -1 229076. 3957.67   5\r\n  -2   2   1 249933. 3652.14   7\r\n  -2  -2  -1 244227. 3302.37   6\r\n  -2  -2  -1 250821. 3303.58   4\r\n   2   2  -1 244245. 2124.20   1\r\n   2  -2   1 264157. 4763.84   3\r\n   2   2  -1 223601. 3703.74   7\r\n   2  -2   1 248963. 2946.35   7\r\n  -2   2   1 257012. 3995.30   6\r\n  -2  -2   0 17514.6 782.402   5\r\n  -2  -2   0 17327.5 1049.54   4\r\n   2  -2   0 17684.6 936.788   1\r\n  -2   2   0 16336.3 793.245   3\r\n  -2   2   0 16741.0 1143.26   6\r\n   2  -2  -1 250536. 4060.20   5\r\n   2  -2  -1 254629. 4073.51   1\r\n  -2   2  -1 245285. 3038.11   7\r\n   2   2   1 247100. 3351.94   4\r\n  -2   2  -1 257534. 4686.28   6\r\n   2  -2  -1 251721. 3911.66   6\r\n  -2   2  -2 24837.6 1436.53   7\r\n  -2  -2   2 23621.7 1508.57   7\r\n   2   2   2 25611.0 1144.82   4\r\n   2  -2  -2 25157.4 1323.65   2\r\n   2  -2  -2 22386.6 1595.83   5\r\n   2   2   2 26177.6 1640.50   3\r\n  -2  -2   2 24477.9 1179.19   5\r\n   2  -2  -3 6325.23 1112.06   5\r\n  -2  -2   3 6620.27 871.087   5\r\n   2   2   3 5167.39 673.364   4\r\n   2  -2  -3 6247.39 809.420   2\r\n   2   2   3 5847.40 1056.08   3\r\n  -2   2  -3 6543.39 1048.56   7\r\n  -2  -2   3 5764.03 1012.09   2\r\n  -2  -2   3 6752.59 991.165   7\r\n   2   2   4 6960.15 909.925   4\r\n  -2  -2   4 4301.89 901.241   5\r\n   2  -2  -4 6447.73 901.745   2\r\n   2   2   4 7246.34 1421.31   3\r\n  -2  -2   4 4880.94 1009.85   2\r\n   2  -2  -4 7070.85 1240.32   5\r\n  -2  -2   4 6690.83 1146.40   7\r\n  -2   2  -4 4334.27 1137.69   7\r\n  -2  -2   4 5539.88 454.169   1\r\n  -2  -2   5 7751.59 1299.56   5\r\n   2   2   5 6288.79 1127.49   4\r\n   2  -2  -5 6552.79 941.237   2\r\n  -2   2  -5 6526.37 1407.45   7\r\n  -2  -2   5 6309.33 626.346   1\r\n  -2  -2   5 7368.58 1321.72   2\r\n   2   2   5 8500.65 1443.06   1\r\n   2  -2  -5 7535.75 1506.99   5\r\n  -2  -2   6 5338.94 1219.70   2\r\n  -2   2  -6 6037.08 1511.64   7\r\n   2  -2  -6 4842.33 1376.25   5\r\n   2   2   6 5846.22 1151.72   4\r\n   2   2   6 5679.18 1315.51   1\r\n  -2  -2   6 5633.54 661.278   1\r\n  -2  -2   7 3900.44 1469.41   4\r\n  -2  -2   7 1200.91 875.314   2\r\n   2  -2  -7 554.519 1213.33   5\r\n   2   2   7 2826.60 1188.75   1\r\n  -2   2  -7 2633.04 1157.67   7\r\n   2  -3   7 2180.39 1595.43   4\r\n  -2  -3  -7 600.529 1334.56   5\r\n   2   3  -7 1687.96 1238.47   7\r\n   2  -3   7 259.001 953.794   2\r\n  -2   3   7 1076.81 978.067   1\r\n  -2  -3  -6-2113.25 1332.72   5\r\n  -2   3   6 980.509 878.695   1\r\n   2  -3   6 1974.04 1170.55   4\r\n   2   3  -6 541.172 1089.97   7\r\n   2  -3   6 591.378 595.901   2\r\n  -2  -3  -5 1554.02 1069.66   5\r\n  -2   3   5 1743.59 354.680   4\r\n  -2   3   5 3262.40 1015.43   1\r\n  -2   3   5 2247.83 470.056   6\r\n   2   3  -5 1772.90 961.120   7\r\n   2   3  -4 4022.43 1088.03   7\r\n   2  -3   4 4565.57 1024.34   7\r\n  -2  -3  -4 5131.90 1213.59   5\r\n  -2   3   4 4933.19 1265.85   3\r\n   2  -3   4 4648.48 1046.69   5\r\n   2  -3   4 5467.42 1304.07   6\r\n  -2  -3  -4 5049.03 523.183   2\r\n  -2   3   4 4352.95 369.753   4\r\n  -2   3   4 4325.30 637.014   6\r\n  -2   3   4 4540.57 1102.13   1\r\n   2  -3   3 35802.5 2252.51   5\r\n   2   3  -3 35764.9 2336.18   7\r\n  -2  -3  -3 33600.2 1580.85   4\r\n   2  -3   3 33359.8 1993.37   7\r\n  -2   3   3 33177.2 1652.38   6\r\n  -2   3   3 32022.3 2252.28   7\r\n   2  -3   3 37522.3 3109.28   3\r\n  -2  -3  -3 36432.1 1382.33   2\r\n   2  -3   3 38242.4 2602.14   6\r\n  -2   3   3 34184.4 2319.17   1\r\n  -2  -3  -3 36948.6 2551.97   5\r\n   2  -3   2 29570.8 2305.66   3\r\n  -2  -3  -2 30446.2 1356.43   4\r\n  -2  -3  -2 28622.1 1993.62   5\r\n  -2   3   2 28346.0 1578.43   6\r\n   2  -3   2 27863.4 1494.38   7\r\n   2  -3   2 27614.6 1126.42   1\r\n  -2   3   2 31686.2 1878.37   7\r\n   2   3  -2 29253.2 1805.87   7\r\n   2  -3   2 32284.0 2226.68   6\r\n  -2  -3  -2 30847.3 1328.16   6\r\n   2   3  -1 38462.7 1227.85   1\r\n  -2   3   1 38119.8 1904.48   6\r\n  -2  -3  -1 41151.2 1808.66   6\r\n  -2  -3  -1 38742.3 1567.00   4\r\n   2  -3   1 39548.3 1489.63   1\r\n   2  -3   1 38549.9 1976.15   3\r\n  -2  -3  -1 38598.3 1855.82   5\r\n  -2  -3  -1 39335.2 1313.26   3\r\n   2  -3   0 12164.5 969.484   1\r\n  -2  -3   0 14588.4 1181.23   4\r\n  -2   3   0 14493.8 1023.90   1\r\n  -2  -3   0 14886.9 928.260   5\r\n   2   3   0 13486.2 964.368   1\r\n  -2   3   0 11293.0 1191.00   6\r\n   2  -3  -1 39102.5 1885.55   5\r\n   2   3   1 41651.1 1793.86   5\r\n   2   3   1 38969.5 1764.50   4\r\n   2  -3  -1 41560.5 1968.34   1\r\n  -2   3  -1 36617.9 1331.89   7\r\n   2  -3  -1 44816.2 2033.71   6\r\n   2  -3  -2 30241.0 1633.60   6\r\n   2  -3  -2 28903.9 1949.76   5\r\n   2  -3  -2 30735.4 1609.83   2\r\n   2   3   2 28477.9 1335.18   4\r\n  -2   3  -2 30426.8 1647.44   7\r\n   2   3   2 29887.8 1914.26   5\r\n  -2  -3   3 36076.1 2184.09   7\r\n   2  -3  -3 35583.0 1872.43   2\r\n   2   3   3 33557.2 1499.37   4\r\n   2   3   3 31773.1 2223.80   7\r\n  -2  -3   3 32837.2 1774.19   5\r\n   2  -3  -3 35021.1 2435.96   5\r\n   2   3   3 34884.5 2297.91   3\r\n  -2   3  -3 35401.9 2199.99   7\r\n   2  -3  -4 4700.72 794.574   2\r\n   2  -3  -4 6089.08 1208.98   5\r\n   2   3   4 4481.98 1130.01   3\r\n  -2   3  -4 4971.15 1131.26   7\r\n  -2  -3   4 4529.76 861.839   5\r\n  -2  -3   4 5320.13 1176.99   2\r\n   2   3   4 4931.86 711.698   4\r\n   2   3   4 5125.95 1126.96   1\r\n  -2  -3   5 2701.27 917.785   2\r\n  -2  -3   5 2080.84 766.480   5\r\n   2   3   5 1971.71 647.443   4\r\n   2  -3  -5 1533.38 956.925   5\r\n  -2   3  -5 1714.16 924.586   7\r\n   2   3   5 2689.97 917.331   1\r\n   2  -3  -5 2291.06 629.676   2\r\n   2  -3  -6 2223.34 1199.26   5\r\n  -2  -3   6 3154.85 1118.04   2\r\n   2   3   6 840.571 802.905   1\r\n  -2   3  -6 3542.34 996.382   7\r\n   2   3   6 1177.21 661.714   4\r\n  -2   3  -7 26.8464 1258.81   7\r\n   2  -3  -7 518.841 1166.53   5\r\n   2   3   7 206.670 1077.55   1\r\n  -2  -3   7 2346.62 880.666   2\r\n   2  -4   6-582.790 740.375   2\r\n  -2   4   6 1180.89 962.438   1\r\n  -2  -4  -6-5.21717 928.249   5\r\n   2   4  -6 436.914 1028.29   7\r\n  -2  -4  -5 3197.90 1198.55   5\r\n   2   4  -5 3119.42 1163.67   7\r\n  -2   4   5 1968.65 1007.84   1\r\n   2  -4   5 2388.95 300.016   1\r\n  -2   4   5 2141.88 441.649   6\r\n   2  -4   4 3659.79 869.089   5\r\n  -2   4   4 4614.53 1044.66   3\r\n  -2  -4  -4 4242.68 620.101   2\r\n  -2   4   4 4555.95 1119.86   1\r\n   2   4  -4 2599.06 1025.04   7\r\n   2  -4   4 4466.01 1013.18   7\r\n  -2  -4  -4 4119.07 1319.05   5\r\n   2  -4   4 3868.77 437.523   1\r\n  -2   4   4 3538.28 617.722   6\r\n  -2  -4  -3 8751.68 1416.51   5\r\n  -2   4   3 7429.92 956.752   6\r\n   2  -4   3 8674.47 686.770   1\r\n   2  -4   3 8678.40 1659.32   3\r\n  -2  -4  -3 8597.67 814.746   4\r\n  -2  -4  -3 8899.26 806.305   6\r\n  -2   4   3 9780.56 1392.06   1\r\n  -2  -4  -3 9128.87 869.445   2\r\n  -2   4   3 8062.41 1071.77   3\r\n   2  -4   3 7993.16 1561.45   6\r\n  -2   4   3 9402.71 1307.43   7\r\n   2  -4   3 9611.79 1119.29   7\r\n   2   4  -3 9451.24 1363.50   7\r\n  -2   4   2 277.669 321.763   6\r\n  -2   4   2 170.997 395.274   7\r\n  -2  -4  -2 589.751 386.759   6\r\n  -2  -4  -2-184.882 571.262   5\r\n   2   4  -2 298.017 475.969   7\r\n   2  -4   2 482.463 554.790   3\r\n  -2   4   2-33.7820 215.886   3\r\n  -2  -4  -2 504.163 311.986   4\r\n   2  -4   2 267.923 271.599   1\r\n   2  -4   1 11064.3 1149.25   3\r\n   2  -4   1 11222.8 998.891   1\r\n   2   4  -1 13144.9 926.390   1\r\n  -2   4   1 12055.8 1288.37   1\r\n  -2  -4  -1 13301.9 1099.44   4\r\n  -2  -4  -1 11657.2 623.540   3\r\n  -2   4   1 12602.1 1331.73   6\r\n  -2  -4  -1 13111.8 1282.19   6\r\n  -2  -4  -1 11810.3 1205.75   5\r\n   2  -4   0 626.549 399.669   1\r\n   2  -4   0 249.319 467.371   6\r\n  -2   4   0 367.046 504.776   6\r\n  -2  -4   0 226.215 372.619   5\r\n  -2   4   0 131.220 346.144   1\r\n  -2  -4   0-5.28769 399.379   4\r\n   2   4   0 304.121 350.121   1\r\n  -2  -4   0 18.6007 479.438   6\r\n   2  -4  -1 12729.4 1007.05   4\r\n   2  -4  -1 12233.7 1319.79   6\r\n   2   4   1 11033.5 1243.50   1\r\n  -2   4  -1 13341.1 959.687   7\r\n   2  -4  -1 12670.8 1248.79   1\r\n   2  -4  -1 12924.2 1315.29   5\r\n   2   4   2 59.5170 432.568   5\r\n   2  -4  -2-48.1978 530.284   5\r\n   2   4   2 324.553 351.714   4\r\n   2  -4  -2 277.570 349.446   6\r\n  -2   4  -2 47.8156 367.223   7\r\n   2  -4  -2 239.201 126.309   4\r\n   2  -4  -3 6864.13 1338.06   5\r\n   2  -4  -3 8632.79 1042.13   2\r\n   2   4   3 8453.43 1329.07   1\r\n  -2  -4   3 8510.05 1004.31   5\r\n  -2   4  -3 8302.49 1183.18   7\r\n   2   4   3 8647.46 837.831   4\r\n   2  -4  -4 2830.73 692.620   2\r\n   2   4   4 3809.92 1087.97   1\r\n  -2  -4   4 4288.33 907.244   5\r\n  -2   4  -4 3074.63 902.220   7\r\n   2   4   4 4034.70 948.739   3\r\n   2   4   4 3144.64 533.971   4\r\n   2  -4  -4 3497.14 1074.84   5\r\n  -2  -4   5 1095.40 857.531   2\r\n   2   4   5 1244.32 694.645   3\r\n  -2   4  -5 4586.59 1190.93   7\r\n  -2  -4   5 2623.77 1003.41   5\r\n   2  -4  -5 631.903 577.219   2\r\n   2   4   5 3282.58 591.836   4\r\n   2  -4  -5 3309.47 1180.32   5\r\n   2   4   5 2721.33 1227.57   1\r\n   2  -4  -6 2044.22 892.069   5\r\n  -2   4  -6 54.1348 977.493   7\r\n  -2  -4   6 17.5583 668.080   2\r\n   2  -5   6 1839.98 787.217   2\r\n  -2  -5  -6 101.595 841.918   5\r\n  -2   5   6-525.346 1126.54   1\r\n   2  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3\r\n   2  -5   1 7196.75 928.054   3\r\n   2  -5   1 8954.47 1465.19   6\r\n  -2  -5  -1 6988.41 933.519   4\r\n  -2  -5  -1 6687.67 1121.86   6\r\n  -2  -5  -1 7127.74 1092.39   5\r\n  -2   5   1 7514.88 1155.97   1\r\n   2   5  -1 6772.99 826.840   1\r\n   2  -5   1 5885.60 863.948   1\r\n   2  -5   0 4254.87 931.395   6\r\n  -2  -5   0 4602.29 725.381   5\r\n  -2  -5   0 5335.63 964.810   4\r\n   2  -5   0 4830.68 791.683   1\r\n  -2   5   0 4777.49 814.155   1\r\n   2   5   0 3735.79 725.469   1\r\n  -2  -5   0 4538.70 1022.25   6\r\n  -2  -5   1 7646.53 1345.14   6\r\n   2  -5  -1 6637.41 1043.67   5\r\n   2  -5  -1 6574.63 873.164   4\r\n   2   5   1 7838.65 1138.85   1\r\n   2  -5  -1 7275.44 1206.83   6\r\n  -2   5  -1 7095.48 828.572   7\r\n   2  -5  -2 22812.2 2084.58   5\r\n   2  -5  -2 21148.0 1023.87   4\r\n   2  -5  -2 21399.0 1851.00   6\r\n  -2   5  -2 21926.0 1593.36   7\r\n   2   5   2 21922.0 2019.05   1\r\n  -2   5  -3 3212.53 900.997   7\r\n   2  -5  -3 3831.56 1147.96   5\r\n  -2  -5   3 2755.94 716.192   5\r\n   2  -5  -3 2690.15 687.878   6\r\n   2   5   3 3055.87 1110.39   1\r\n   2  -5  -3 3056.54 786.319   2\r\n   2  -5  -4 8897.45 1246.97   2\r\n  -2   5  -4 8231.16 1458.63   7\r\n   2   5   4 10710.3 985.548   4\r\n   2   5   4 10199.2 1796.03   1\r\n  -2  -5   4 10616.1 1302.94   5\r\n   2  -5  -4 9108.68 1819.05   5\r\n  -2  -5   5 79.2718 576.731   2\r\n  -2   5  -5-480.675 602.040   7\r\n   2   5   5 348.969 1142.27   1\r\n   2  -5  -6 775.991 709.942   5\r\n  -2  -5   6 463.059 1101.03   2\r\n  -2   5  -6 738.590 886.722   7\r\n   2   5   6 1658.74 1110.35   1\r\n   2   6  -6 1792.36 1298.64   7\r\n  -2   6   6 1043.21 1208.68   1\r\n  -2  -6  -6-104.586 1214.21   5\r\n   2   6  -5-78.0180 906.704   7\r\n  -2  -6  -5-1530.20 1242.20   5\r\n  -2   6   5 981.206 1179.73   1\r\n  -2  -6  -4 1318.24 919.178   5\r\n  -2   6   4 3067.73 1228.26   1\r\n   2   6  -4 1885.84 924.819   7\r\n  -2   6   3 536.945 892.952   1\r\n   2   6  -3 933.937 641.124   7\r\n   2  -6   3 501.623 328.084   1\r\n  -2  -6  -3 911.761 569.199   6\r\n  -2  -6  -3 688.187 398.552   4\r\n  -2  -6  -3 1529.86 993.299   5\r\n  -2  -6  -2 2017.55 876.742   5\r\n  -2  -6  -2 1393.45 555.910   4\r\n   2  -6   2 1031.68 523.209   3\r\n   2   6  -2 956.100 627.807   7\r\n   2  -6   2 1326.72 500.966   1\r\n  -2  -6  -2 2217.30 651.489   6\r\n  -2   6   2 2639.59 1033.81   1\r\n  -2  -6  -1 26041.7 2381.51   6\r\n   2   6  -1 22837.3 1608.64   1\r\n  -2   6   1 24238.2 2098.64   1\r\n  -2  -6  -1 25185.2 1876.07   4\r\n   2  -6   1 25823.8 1746.73   3\r\n   2  -6   1 23010.6 1784.45   1\r\n  -2  -6  -1 26509.3 2177.36   5\r\n  -2  -6   0 482.989 526.878   5\r\n   2   6   0 384.560 553.249   1\r\n  -2   6   0 101.215 516.706   1\r\n  -2  -6   0 98.2620 148.776   3\r\n  -2  -6   0 699.553 603.855   4\r\n   2  -6  -1 27787.7 2491.61   6\r\n   2  -6  -1 22236.0 1737.31   4\r\n  -2   6  -1 27499.2 1720.26   7\r\n   2   6   1 27814.8 2247.35   1\r\n  -2  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1599.91   1\r\n   2   7   3 4431.05 1386.45   1\r\n  -2   7  -3 4172.33 991.752   7\r\n   2  -7  -3 4566.80 1362.26   5\r\n  -2   7  -4 232.957 774.242   7\r\n   2  -7  -4 1728.84 1120.91   5\r\n   2   7   4 379.233 1033.98   1\r\n  -2   7  -5 1555.07 924.739   7\r\n   2   7   5 2759.58 1117.25   1\r\n   2  -7  -5 506.530 1212.75   5\r\n  -2   8   4 428.646 1098.09   1\r\n   2   8  -4 539.771 714.760   7\r\n   2   8  -3-157.437 644.730   7\r\n  -2  -8  -3 1222.36 756.243   5\r\n  -2   8   3 688.739 941.070   1\r\n   2   8  -2 315.059 606.797   7\r\n  -2   8   2 307.516 889.542   1\r\n  -2  -8  -2 297.463 669.439   5\r\n  -2  -8  -1 608.471 862.043   5\r\n  -2   8   1 1629.87 1027.37   1\r\n   2   8  -1 2416.96 920.107   7\r\n   2   8  -1 1230.49 628.004   1\r\n  -2   8   0 4719.99 1079.66   1\r\n   2  -8   0 5207.27 1198.24   5\r\n  -2  -8   0 5419.06 1123.61   5\r\n   2   8   0 6478.27 1204.24   1\r\n  -2  -8   1 1142.88 601.964   5\r\n   2   8   1 1169.87 905.879   1\r\n  -2   8  -1 2267.78 690.358   7\r\n   2  -8  -1 1040.03 654.199   5\r\n  -2   8  -2 386.975 531.386   7\r\n   2  -8  -2 763.200 700.513   5\r\n  -2  -8   2 734.849 468.781   5\r\n   2   8   2-255.412 613.331   1\r\n   2  -8  -3-739.741 946.376   5\r\n   2   8   3 1250.82 767.087   1\r\n  -2   8  -3 798.964 382.574   7\r\n   2  -8  -4-2379.82 1426.99   5\r\n   2   8   4 695.909 1192.04   1\r\n  -2   9   2-1173.56 1094.49   1\r\n   2   9  -2 510.316 567.893   7\r\n  -2   9   1 11.0068 840.078   1\r\n   2  -9   1-1299.39 854.477   5\r\n   2   9  -1 1488.57 887.834   7\r\n  -2  -9  -1 1303.86 647.138   5\r\n   2  -9   0 235.528 447.552   5\r\n   2   9   0 506.028 622.142   1\r\n  -2  -9   1 1592.42 653.186   5\r\n   2   9   1 818.592 734.873   1\r\n   2  -9  -1 250.877 667.635   5\r\n   2  -9  -2 353.032 696.256   5\r\n   2   9   2 208.457 911.164   1\r\n   3   0  -1 93365.7 1624.03   1\r\n   3   0   1 94916.9 1709.93   6\r\n  -3   0  -1 96854.1 2222.67   4\r\n   3   0   1 102631. 2630.78   3\r\n  -3  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590.871   1\r\n  -3   0  -6-1142.81 847.540   5\r\n  -3   0   7 1288.41 700.572   4\r\n   3   0   7 393.949 961.174   4\r\n  -3   0   7 1282.13 575.302   2\r\n   3   0   7 579.425 597.130   1\r\n   3   0  -7 1438.61 1192.13   7\r\n   3   0  -7 302.227 1120.95   5\r\n  -3   0   7 994.937 714.924   1\r\n  -3  -1  -7 2173.63 1035.36   5\r\n   3   1  -7 1347.27 971.913   7\r\n  -3   1   7 2027.21 829.437   1\r\n   3  -1   7 2455.04 1184.59   4\r\n   3   1  -7 1328.49 1118.30   5\r\n  -3   1   6 2670.05 892.345   1\r\n  -3  -1  -6 1938.99 1208.17   5\r\n  -3   1   6 3225.17 766.068   2\r\n   3  -1   6 1791.21 1002.92   4\r\n   3   1  -6 2981.21 1170.36   7\r\n   3   1  -6 1433.88 994.987   5\r\n  -3   1   6 1928.11 787.060   4\r\n   3  -1   6 2402.45 659.615   2\r\n   3   1  -5 10541.9 1848.19   7\r\n  -3   1   5 9417.45 1347.49   1\r\n   3  -1   5 9114.16 1113.15   2\r\n  -3   1   5 8017.48 1142.14   4\r\n   3  -1   5 7895.46 1516.35   4\r\n   3  -1   5 9088.40 1210.75   6\r\n  -3   1   5 8994.74 1183.68   2\r\n  -3  -1  -5 7917.44 1634.70   5\r\n   3   1  -5 10376.3 1580.39   5\r\n  -3   1   4 4743.96 848.530   2\r\n   3  -1   4 4280.79 725.714   2\r\n  -3  -1  -4 4472.17 1178.08   5\r\n   3  -1   4 6698.56 1131.45   7\r\n   3  -1   4 3331.40 982.462   4\r\n  -3   1   4 3766.54 970.639   7\r\n   3  -1   4 6813.74 1428.57   3\r\n   3   1  -4 5620.37 1187.25   7\r\n  -3   1   4 4660.39 1019.43   5\r\n  -3   1   4 5017.95 890.678   1\r\n   3   1  -4 4612.51 949.543   5\r\n   3  -1   4 4661.04 853.337   6\r\n   3  -1   4 6672.27 1156.41   5\r\n  -3   1   3 3838.21 757.886   5\r\n   3  -1   3 3721.39 689.108   6\r\n   3  -1   3 3853.52 852.796   4\r\n  -3   1   3 4538.06 729.562   1\r\n  -3   1   3 3447.39 657.633   2\r\n   3   1  -3 4341.71 754.877   5\r\n   3  -1   3 6412.52 1188.53   3\r\n   3   1  -3 3919.44 890.927   7\r\n   3  -1   3 4487.38 832.579   7\r\n   3  -1   3 4866.86 906.685   5\r\n  -3  -1  -3 3662.71 911.314   5\r\n   3  -1   2 77933.3 3286.96   3\r\n  -3  -1  -2 75240.1 3121.37   3\r\n  -3   1   2 73451.4 2201.30   1\r\n  -3   1   2 68079.0 1669.16   4\r\n  -3   1   2 68113.8 2126.50   2\r\n   3   1  -2 68809.3 2535.85   7\r\n  -3  -1  -2 71958.3 2248.94   4\r\n   3  -1   2 76175.5 2418.33   7\r\n   3  -1   2 75076.4 2312.65   6\r\n  -3  -1  -2 70020.9 2643.52   5\r\n   3   1  -2 72408.9 2005.62   5\r\n  -3   1   1 484497. 4801.35   2\r\n  -3  -1  -1 497652. 5330.95   5\r\n  -3   1   1 486231. 2796.41   4\r\n   3   1  -1 484499. 4996.19   7\r\n  -3   1   1 488616. 4722.54   7\r\n  -3  -1  -1 479480. 4706.48   4\r\n   3  -1   1 475115. 4039.50   7\r\n  -3   1   0 415073. 4557.30   6\r\n  -3  -1   0 407751. 4143.82   4\r\n  -3   1  -1 488950. 4093.13   7\r\n   3  -1  -1 487136. 4849.83   5\r\n  -3  -1   1 493360. 5637.18   2\r\n  -3  -1   1 496480. 5752.28   4\r\n  -3   1  -1 479804. 5228.49   6\r\n   3  -1  -1 499395. 4838.48   1\r\n   3  -1  -2 72975.7 2265.46   2\r\n   3  -1  -2 73206.8 2620.20   7\r\n  -3   1  -2 71808.6 2372.28   7\r\n   3   1   2 69295.3 2138.83   4\r\n   3  -1  -2 67207.9 2135.10   1\r\n   3  -1  -2 70844.4 2447.73   5\r\n  -3  -1   2 68291.3 1910.35   5\r\n   3   1   2 75938.0 2928.66   3\r\n  -3  -1   2 70886.1 2522.76   2\r\n  -3  -1   3 4358.83 738.541   5\r\n   3   1   3 5258.15 1009.58   3\r\n  -3  -1   3 4397.57 453.408   1\r\n  -3   1  -3 3710.97 826.785   7\r\n   3  -1  -3 4741.60 718.900   2\r\n  -3  -1   3 3887.51 797.248   2\r\n   3  -1  -3 4080.59 873.929   5\r\n   3   1   3 4425.74 735.894   4\r\n   3  -1  -3 3953.84 874.560   7\r\n   3   1   4 4986.12 880.023   4\r\n   3   1   4 4101.01 1066.76   5\r\n   3   1   4 4666.34 374.052   2\r\n   3   1   4 5992.79 1270.40   3\r\n  -3   1  -4 4529.39 1034.42   7\r\n   3  -1  -4 3734.09 1038.04   5\r\n  -3  -1   4 4823.21 972.753   5\r\n  -3  -1   4 5792.71 1061.75   7\r\n   3  -1  -4 4591.35 1128.77   7\r\n   3   1   4 5342.64 1038.99   7\r\n   3  -1  -4 3774.73 777.874   2\r\n  -3  -1   4 4852.31 943.156   2\r\n  -3  -1   4 4125.68 564.114   1\r\n  -3  -1   5 9970.15 1473.02   5\r\n  -3  -1   5 10082.8 990.869   1\r\n   3   1   5 10205.4 1435.93   4\r\n  -3  -1   5 9310.69 1437.15   2\r\n   3  -1  -5 9950.31 1705.53   7\r\n   3   1   5 8780.41 593.334   2\r\n   3  -1  -5 9597.19 1675.91   5\r\n  -3   1  -5 8621.48 1625.40   7\r\n   3   1   6 3063.32 956.545   4\r\n  -3  -1   6 2928.40 973.592   2\r\n   3   1   6 3853.26 1104.11   1\r\n   3  -1  -6 3026.99 1182.23   5\r\n  -3  -1   6 3713.94 731.489   1\r\n   3  -1  -6 1530.17 1091.21   7\r\n   3  -1  -7 3687.77 1327.06   5\r\n   3   1   7 2325.86 1033.88   4\r\n   3   1   7 2989.91 1172.65   1\r\n  -3  -1   7 717.729 1050.39   4\r\n  -3  -1   7 1524.72 660.716   2\r\n  -3   2   7 541.217 617.294   1\r\n  -3  -2  -7 583.385 1320.45   5\r\n   3  -2   7-153.942 973.643   4\r\n   3   2  -7 2328.35 977.221   7\r\n  -3  -2  -6 1317.97 1154.06   5\r\n  -3   2   6 1770.14 915.052   1\r\n  -3   2   6 1423.64 562.574   4\r\n   3  -2   6 1482.01 1119.93   4\r\n   3  -2   6 1134.07 523.135   2\r\n   3   2  -6 636.793 1163.78   7\r\n  -3   2   6 1127.19 332.791   6\r\n  -3   2   6 785.561 391.869   2\r\n   3  -2   5 19129.6 2314.91   4\r\n  -3   2   5 18868.5 1542.20   2\r\n  -3   2   5 18972.7 1444.02   4\r\n  -3  -2  -5 18379.6 2362.74   5\r\n   3  -2   5 17106.7 1902.80   6\r\n   3  -2   5 20498.5 1885.18   2\r\n  -3   2   5 18218.7 1981.03   1\r\n  -3   2   5 17920.0 1409.40   6\r\n   3   2  -5 20805.8 2437.57   7\r\n  -3   2   4 17666.5 1690.87   1\r\n  -3   2   4 16797.3 1845.29   7\r\n   3  -2   4 18733.1 1811.23   7\r\n  -3   2   4 16404.8 1078.58   4\r\n  -3   2   4 15258.9 1267.11   2\r\n   3  -2   4 18115.9 1763.27   6\r\n  -3   2   4 19914.9 1909.41   5\r\n  -3   2   4 16180.5 1279.98   6\r\n   3  -2   4 18139.5 1902.20   5\r\n   3   2  -4 17097.5 1922.53   7\r\n  -3  -2  -4 16521.8 1985.84   5\r\n   3  -2   3 101438. 3596.67   6\r\n  -3  -2  -3 94821.4 2936.03   4\r\n  -3   2   3 95724.7 2814.96   2\r\n  -3  -2  -3 89415.8 3739.82   5\r\n  -3   2   3 91265.8 1735.04   4\r\n   3  -2   3 92487.8 3245.72   7\r\n  -3   2   3 103206. 3439.09   1\r\n  -3   2   3 96942.8 3760.65   7\r\n  -3   2   3 92379.4 2751.53   6\r\n   3   2  -3 95288.4 3733.43   7\r\n   3  -2   3 101338. 4806.07   3\r\n  -3   2   3 82646.1 1788.46   4\r\n   3  -2   3 98883.7 3613.82   5\r\n  -3  -2  -2 52999.3 2534.49   3\r\n   3  -2   2 55559.7 1985.40   7\r\n   3  -2   2 51170.0 2371.26   6\r\n   3  -2   2 52442.2 2881.96   3\r\n  -3  -2  -2 49361.1 2387.85   5\r\n  -3   2   2 54848.9 2347.57   7\r\n  -3  -2  -2 52336.8 1864.87   4\r\n   3   2  -2 55382.6 2344.63   7\r\n  -3   2   2 54163.6 2005.75   6\r\n  -3  -2  -1 14503.8 1078.06   5\r\n  -3  -2  -1 15594.6 945.886   4\r\n   3  -2   1 16067.7 1245.25   3\r\n  -3  -2  -1 16250.3 1009.48   3\r\n  -3   2   1 14833.1 1094.42   6\r\n   3   2  -1 14628.7 1057.21   7\r\n   3  -2   1 16381.4 708.442   7\r\n  -3   2   1 15706.1 952.788   7\r\n   3  -2   0 125960. 2570.21   1\r\n  -3   2   0 128192. 3144.54   6\r\n   3   2   0 130453. 1939.39   5\r\n  -3  -2   0 129966. 2870.18   4\r\n  -3  -2   0 132519. 2095.53   5\r\n  -3   2  -1 14642.3 1261.91   3\r\n   3  -2  -1 15236.8 1007.45   2\r\n  -3   2  -1 15171.0 1214.96   6\r\n   3   2   1 13666.9 912.885   4\r\n   3   2   1 15193.4 1053.89   5\r\n  -3   2  -1 15650.3 752.936   7\r\n   3  -2  -1 15232.4 1077.86   6\r\n   3  -2  -1 15750.5 1078.72   1\r\n   3   2   2 52614.3 2316.34   3\r\n   3  -2  -2 51714.0 2256.97   7\r\n   3  -2  -2 50721.2 2295.11   5\r\n  -3  -2   2 48892.2 2394.01   2\r\n  -3   2  -2 48215.0 1971.10   7\r\n   3  -2  -2 51814.8 2029.34   2\r\n   3   2   2 52132.7 1782.44   4\r\n  -3  -2   2 51278.4 1564.90   5\r\n   3  -2  -2 51925.1 2181.02   1\r\n  -3  -2   3 97540.9 3463.93   7\r\n  -3  -2   3 90342.4 2814.90   5\r\n   3   2   3 94784.9 2741.11   4\r\n   3  -2  -3 95818.5 3719.60   7\r\n   3  -2  -3 88020.7 2903.08   2\r\n   3   2   3 95032.1 3916.22   3\r\n   3  -2  -3 88076.3 3567.11   5\r\n  -3  -2   3 91560.6 3571.63   2\r\n  -3   2  -3 91101.7 3375.37   7\r\n   3   2   4 15535.8 2012.27   3\r\n   3  -2  -4 18313.5 1971.30   7\r\n  -3  -2   4 14271.7 1645.76   2\r\n  -3  -2   4 15275.5 1504.42   5\r\n   3  -2  -4 14985.1 1804.39   5\r\n   3  -2  -4 17161.7 1472.52   2\r\n   3   2   4 14942.3 1355.24   4\r\n  -3   2  -4 15480.8 1723.95   7\r\n  -3  -2   5 16384.5 861.461   1\r\n   3   2   5 23724.3 1927.83   4\r\n  -3  -2   5 19337.2 2127.40   2\r\n   3  -2  -5 22085.5 1799.57   2\r\n   3  -2  -5 16352.8 2162.66   5\r\n  -3  -2   5 19976.4 1906.54   5\r\n  -3   2  -5 18977.5 2188.18   7\r\n   3   2   6 1128.10 809.465   1\r\n   3   2   6 2088.28 686.624   4\r\n  -3  -2   6 1404.36 643.456   2\r\n  -3   2  -6 1880.66 909.857   7\r\n   3  -2  -6 2035.33 1055.26   5\r\n   3  -2  -7 1463.98 1090.39   5\r\n   3   2   7 387.316 797.076   1\r\n  -3  -2   7 1587.00 835.457   2\r\n   3   3  -7 1519.90 1317.73   7\r\n  -3  -3  -7 1834.12 1164.07   5\r\n  -3   3   7 4136.16 1365.71   1\r\n   3  -3   7 3321.17 1549.43   4\r\n  -3  -3  -6 3171.99 1511.21   5\r\n  -3   3   6 3626.19 1128.71   1\r\n   3  -3   6 3509.64 1359.12   4\r\n   3  -3   6 1914.95 823.616   2\r\n   3   3  -6 5173.04 1533.14   7\r\n  -3  -3  -5 1601.72 1093.52   5\r\n  -3   3   5 1768.41 992.314   1\r\n  -3   3   5 1093.18 257.170   4\r\n   3  -3   5 1052.39 952.776   4\r\n  -3   3   5 1181.21 403.057   6\r\n  -3   3   5 1285.79 264.192   4\r\n   3   3  -5 1078.30 786.550   7\r\n  -3  -3  -4 866.355 167.277   2\r\n   3  -3   4 1144.33 634.072   5\r\n  -3  -3  -4 1009.20 781.846   5\r\n   3  -3   4 2039.76 801.829   7\r\n  -3   3   4 563.355 449.900   6\r\n  -3   3   4 1202.87 684.665   1\r\n  -3   3   4 6.93921 795.674   3\r\n   3  -3   4 1219.96 801.414   6\r\n   3   3  -4 760.608 674.349   7\r\n  -3  -3  -3 1631.11 330.724   2\r\n   3   3  -3 1756.31 764.362   7\r\n   3  -3   3 1370.74 639.924   5\r\n   3  -3   3 716.311 706.101   3\r\n  -3   3   3 905.904 585.400   7\r\n   3  -3   3 1638.74 671.744   6\r\n  -3  -3  -3 1455.08 739.663   5\r\n   3  -3   3 1205.81 573.474   7\r\n  -3   3   3 1332.71 629.243   1\r\n  -3  -3  -3 1790.59 457.778   4\r\n  -3   3   3 1456.29 487.302   6\r\n  -3  -3  -2 110004. 3467.66   3\r\n  -3   3   2 114697. 3521.28   7\r\n   3  -3   2 112809. 4357.51   3\r\n  -3   3   2 114014. 3292.67   6\r\n   3   3  -2 118665. 3536.52   7\r\n   3  -3   2 121217. 2843.12   7\r\n   3  -3   2 117171. 4111.40   6\r\n  -3  -3  -2 108537. 2754.96   4\r\n  -3  -3  -2 111722. 3793.59   5\r\n  -3  -3  -2 114480. 2458.25   6\r\n   3  -3   1 33389.4 1834.72   3\r\n  -3  -3  -1 30315.9 1659.29   5\r\n   3  -3   1 32155.9 1421.95   1\r\n  -3   3   1 33709.6 1852.82   6\r\n  -3   3   1 33911.3 1493.75   7\r\n  -3  -3  -1 31822.9 1513.01   4\r\n   3   3  -1 34360.0 1189.90   1\r\n  -3   3   0 96049.2 2272.23   3\r\n  -3   3   0 90144.9 2516.63   1\r\n  -3  -3   0 92776.5 2893.24   4\r\n   3  -3   0 93872.0 2625.97   1\r\n  -3  -3   0 93134.4 2201.96   5\r\n  -3   3  -1 31193.8 2021.84   6\r\n   3  -3  -1 33209.6 1781.31   1\r\n   3   3   1 26459.9 1513.84   4\r\n   3  -3  -1 30121.1 1755.79   6\r\n  -3  -3   1 26787.8 2073.58   4\r\n  -3   3  -1 30918.9 1150.76   7\r\n   3   3   1 32591.5 1612.41   5\r\n  -3   3  -2 108733. 2942.18   7\r\n   3   3   2 114351. 3693.84   5\r\n  -3  -3   2 109307. 2313.14   5\r\n   3   3   2 108467. 2763.29   4\r\n   3  -3  -2 107175. 3635.64   5\r\n   3  -3  -2 110318. 3254.18   6\r\n   3  -3  -2 115057. 3596.59   1\r\n   3  -3  -2 114471. 3187.92   2\r\n  -3  -3   3 1617.74 662.110   7\r\n   3  -3  -3 1428.71 704.586   5\r\n   3  -3  -3 826.894 430.801   2\r\n   3   3   3 1296.97 587.703   7\r\n   3   3   3 1309.61 703.797   5\r\n   3   3   3 1696.53 652.383   3\r\n   3   3   3 1624.29 468.218   4\r\n  -3  -3   3 1419.12 461.955   5\r\n  -3   3  -3 1342.03 566.683   7\r\n   3  -3  -4 911.515 800.029   5\r\n   3   3   4 819.853 419.518   3\r\n   3  -3  -4 1220.82 534.775   2\r\n  -3  -3   4 873.427 531.221   5\r\n  -3   3  -4 1200.69 727.922   7\r\n   3   3   4 1301.88 514.517   4\r\n  -3  -3   4 342.203 640.173   2\r\n  -3   3  -5-103.190 713.185   7\r\n   3   3   5 1684.83 863.605   1\r\n   3  -3  -5 8.30647 655.863   2\r\n  -3  -3   5 1151.74 613.299   2\r\n  -3  -3   5-838.270 734.524   5\r\n   3   3   5 1275.14 598.518   4\r\n   3  -3  -5 1340.03 977.912   5\r\n  -3   3  -6 1680.65 963.371   7\r\n   3  -3  -6 4133.07 1318.84   5\r\n   3   3   6 3352.89 1193.17   1\r\n  -3  -3   6 2941.38 1207.75   2\r\n   3   3   6 2159.10 821.845   4\r\n   3  -3  -7 3571.07 1496.64   5\r\n   3   3   7 3828.63 1252.67   1\r\n  -3   3  -7 2246.86 1123.93   7\r\n  -3  -3   7 5089.13 1223.49   2\r\n  -3  -4  -6 1764.60 1215.52   5\r\n  -3   4   6 6805.08 1526.33   1\r\n   3  -4   6 4683.46 1200.31   2\r\n   3  -4   6 6934.57 1837.32   4\r\n   3   4  -6 5609.37 1468.29   7\r\n  -3   4   5 2904.75 615.811   6\r\n  -3   4   5 4698.35 1273.34   1\r\n  -3   4   5 3442.51 1020.76   3\r\n   3   4  -5 3660.09 1348.56   7\r\n  -3  -4  -5 5913.81 1562.45   5\r\n   3  -4   4 10579.3 1583.66   5\r\n  -3  -4  -4 12251.7 1149.50   4\r\n   3   4  -4 10517.6 1636.05   7\r\n  -3   4   4 10984.7 1651.01   1\r\n  -3   4   4 11305.9 1161.67   6\r\n  -3  -4  -4 11639.9 847.736   2\r\n  -3   4   4 10585.4 1547.00   3\r\n  -3  -4  -4 10842.6 1744.46   5\r\n   3  -4   4 12035.4 1494.16   7\r\n  -3   4   3 24432.9 2129.88   1\r\n  -3  -4  -3 24478.8 1314.53   2\r\n  -3  -4  -3 22498.2 1423.71   4\r\n   3  -4   3 23548.5 1226.96   1\r\n  -3   4   3 21838.7 1884.25   3\r\n  -3  -4  -3 22509.5 2185.82   5\r\n   3  -4   3 26497.3 2653.24   3\r\n   3  -4   3 26172.2 2532.81   6\r\n  -3  -4  -3 23801.0 1198.16   6\r\n   3   4  -3 22006.0 1998.83   7\r\n  -3   4   3 24679.0 2083.79   7\r\n   3  -4   3 24810.4 1759.74   7\r\n  -3   4   3 23540.9 1717.19   6\r\n  -3  -4  -2 6061.90 1051.67   5\r\n   3  -4   2 5389.63 662.162   1\r\n   3  -4   2 6609.64 1262.59   6\r\n  -3   4   2 6704.10 969.929   7\r\n  -3   4   2 4571.63 874.158   6\r\n  -3  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1099.06   1\r\n  -3  -6   0 5315.83 903.234   5\r\n  -3   6   0 4739.49 941.607   1\r\n   3  -6   0 5851.68 966.068   1\r\n  -3  -6   0 5416.07 1141.14   4\r\n   3  -6  -1 5030.55 1089.60   5\r\n  -3  -6   1 5667.54 847.241   5\r\n   3   6   1 5892.31 1130.90   1\r\n  -3   6  -1 6056.59 825.277   7\r\n   3  -6  -1 6052.03 959.703   4\r\n  -3   6  -2 3253.87 696.827   7\r\n   3  -6  -2 3629.62 530.524   4\r\n   3  -6  -2 4132.80 1022.71   6\r\n   3   6   2 4326.90 1083.16   1\r\n   3  -6  -2 4323.78 1132.41   5\r\n  -3   6  -3 778.538 539.480   7\r\n   3  -6  -3 609.637 432.524   6\r\n   3  -6  -3 278.706 529.677   5\r\n   3   6   3 2319.02 1068.04   1\r\n  -3  -6   3 1593.91 605.560   5\r\n   3  -6  -4 11774.7 2053.94   5\r\n  -3   6  -4 11362.9 1635.09   7\r\n   3   6   4 11943.1 1957.69   1\r\n   3   6   5 2574.04 1439.87   1\r\n   3  -6  -5 3615.99 1398.90   5\r\n  -3   6  -5 3038.71 1096.57   7\r\n  -3  -6   5 3686.52 1304.73   2\r\n  -3  -7  -5 1781.10 1174.75   5\r\n  -3   7   5 1939.45 1057.24   1\r\n   3   7  -5 5226.34 1536.01   7\r\n  -3   7   4 341.212 801.534   1\r\n   3   7  -4 1097.95 773.642   7\r\n  -3  -7  -4 4.92400 986.776   5\r\n  -3  -7  -3 3013.67 1013.41   5\r\n  -3   7   3 358.517 720.654   1\r\n   3   7  -3 1491.53 782.138   7\r\n   3  -7   2 356.482 407.744   3\r\n  -3   7   2 113.766 551.033   7\r\n  -3  -7  -2-842.488 774.445   5\r\n  -3  -7  -2-319.967 558.894   4\r\n  -3   7   2-436.918 790.975   1\r\n   3   7  -2 146.377 702.733   7\r\n   3  -7   2 1910.09 607.844   1\r\n  -3  -7  -1 6004.82 1213.68   5\r\n   3   7  -1 6378.69 1034.76   1\r\n  -3   7   1 6134.71 1255.95   1\r\n  -3  -7  -1 6947.75 1214.88   4\r\n  -3  -7   0 1720.62 747.462   5\r\n   3   7   0 1720.78 727.211   1\r\n  -3   7   0 1797.29 755.765   1\r\n   3   7   1 6759.65 1389.79   1\r\n   3  -7  -1 4859.08 1151.66   5\r\n  -3  -7   1 6647.17 1029.76   5\r\n  -3  -7   1 6464.75 1055.57   3\r\n   3  -7  -1 6132.39 1114.50   4\r\n  -3   7  -1 7652.85 1015.53   7\r\n   3  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1\r\n   3  -8   0 398.138 601.682   5\r\n  -3  -8   0-410.320 396.347   5\r\n  -3   8  -1-990.715 621.663   7\r\n   3  -8  -1 222.369 719.104   5\r\n   3   8   1 789.645 635.084   1\r\n  -3  -8   1 79.8372 515.918   5\r\n  -3  -8   2 2875.00 687.756   5\r\n  -3   8  -2 1359.34 609.846   7\r\n   3   8   2 2738.82 1183.46   1\r\n   3  -8  -2 1661.57 1222.10   5\r\n   3  -8  -3 1852.80 1279.38   5\r\n   3   8   3-1587.85 1295.25   1\r\n   3  -8  -4-3620.07 1719.84   5\r\n   3   8   4 2571.69 1396.54   1\r\n  -3  -9  -2 1741.98 1060.12   5\r\n   3   9  -2 33.9422 708.891   7\r\n  -3  -9  -1 1146.31 792.300   5\r\n   3  -9   1 1413.23 788.139   5\r\n   3   9  -1 1511.89 678.967   7\r\n  -3   9   1 2173.67 888.583   1\r\n   3   9  -1 2432.13 663.125   1\r\n  -3  -9   0 636.596 671.009   5\r\n   3  -9   0-367.689 719.736   5\r\n   3   9   0 905.877 854.731   1\r\n   3  -9  -1 621.284 809.501   5\r\n   3   9   1 1956.55 927.149   1\r\n   3  -9  -2-1947.02 1197.95   5\r\n   3   9   2 547.607 974.635   1\r\n  -4   0   0 120503. 2190.10   2\r\n  -4   0   0 121720. 2225.35   4\r\n  -4   0   1 11594.8 727.776   4\r\n  -4   0  -1 13823.5 935.791   4\r\n  -4   0   1 11933.9 896.106   2\r\n   4   0  -1 12147.0 657.749   5\r\n  -4   0  -1 12459.3 734.858   6\r\n   4   0  -1 10863.2 804.480   7\r\n   4   0   1 12423.1 595.169   2\r\n   4   0  -1 11041.5 775.265   4\r\n   4   0   2 6202.72 936.825   3\r\n   4   0  -2 6447.52 864.435   7\r\n   4   0   2 6149.39 797.644   4\r\n  -4   0   2 6336.41 654.516   5\r\n  -4   0   2 5986.73 550.689   1\r\n  -4   0  -2 6287.96 818.270   4\r\n   4   0   2 6315.50 550.669   6\r\n  -4   0  -2 5781.70 816.484   5\r\n  -4   0  -2 7189.84 585.381   6\r\n   4   0   2 5185.86 703.023   7\r\n  -4   0   2 6372.92 802.556   2\r\n   4   0  -2 6239.54 773.190   2\r\n  -4   0   2 6232.28 695.172   4\r\n   4   0  -2 5299.90 543.688   1\r\n   4   0  -2 4978.93 634.760   5\r\n  -4   0  -3 1579.90 750.513   5\r\n   4   0   3 2082.94 710.521   3\r\n  -4   0   3 1906.14 435.417   1\r\n   4   0   3 1817.85 360.619   6\r\n  -4   0   3 2337.96 582.800   5\r\n   4   0  -3 1837.84 590.825   2\r\n   4   0   3 2053.48 645.873   4\r\n   4   0   3 2601.24 750.943   7\r\n   4   0  -3 2417.10 635.051   5\r\n   4   0  -3 1764.72 648.051   7\r\n  -4   0   3 2047.90 606.925   2\r\n  -4   0   4 26.0200 519.160   7\r\n   4   0  -4 198.352 455.800   5\r\n   4   0   4-456.663 554.109   5\r\n   4   0  -4-1087.06 733.435   7\r\n   4   0   4 264.912 742.679   7\r\n   4   0   4 1155.29 729.456   3\r\n   4   0  -4-472.092 504.675   2\r\n  -4   0   4 329.072 349.086   1\r\n  -4   0   4 152.799 541.186   5\r\n  -4   0   4-112.275 562.463   2\r\n   4   0   4 41.6828 552.887   4\r\n  -4   0  -4 507.208 622.373   5\r\n   4   0   4 64.7216 294.383   6\r\n   4   0   4-425.260 299.101   2\r\n   4   0  -5 16861.8 2023.08   5\r\n  -4   0  -5 20269.2 2337.78   5\r\n   4   0   5 17309.7 1966.76   4\r\n   4   0   5 19162.2 1276.34   6\r\n  -4   0   5 18329.8 1861.31   2\r\n  -4  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2\r\n   4  -1   6-156.763 316.970   2\r\n  -4   1   5 27973.9 2120.32   1\r\n   4   1  -5 24878.1 2267.35   5\r\n   4  -1   5 24796.7 1748.03   2\r\n   4   1  -5 29177.4 2911.34   7\r\n   4  -1   5 26519.0 1928.02   6\r\n  -4   1   5 23491.1 1927.77   2\r\n   4  -1   5 26803.6 2536.40   4\r\n  -4  -1  -5 26923.9 2708.28   5\r\n   4  -1   4 42631.4 3507.04   3\r\n   4  -1   4 40546.6 2161.59   6\r\n   4  -1   4 36641.0 2645.44   4\r\n   4  -1   4 41342.1 2691.31   7\r\n  -4   1   4 40632.7 2568.18   5\r\n  -4   1   4 44354.2 2871.90   7\r\n  -4   1   4 38372.7 2187.21   1\r\n  -4   1   4 36565.6 2158.37   2\r\n   4   1  -4 40065.4 2861.74   7\r\n   4  -1   4 46250.9 2943.69   5\r\n  -4  -1  -4 35736.9 2745.64   5\r\n   4   1  -4 39451.4 2393.26   5\r\n  -4   1   3 29299.8 1674.78   1\r\n  -4  -1  -3 27284.3 1815.60   4\r\n   4  -1   3 29008.5 1666.69   6\r\n  -4   1   3 27923.3 1808.79   5\r\n   4  -1   3 31259.5 2589.76   3\r\n   4   1  -3 28906.6 1686.62   5\r\n   4  -1   3 28611.4 2079.41   4\r\n  -4   1   3 29687.2 1764.20   2\r\n   4   1  -3 29129.1 2115.15   7\r\n  -4   1   3 30007.6 2069.08   7\r\n  -4  -1  -3 29901.1 2184.52   5\r\n   4  -1   3 28250.0 2032.95   5\r\n   4  -1   3 26844.0 1837.17   7\r\n  -4  -1  -2 20005.2 1733.00   3\r\n   4  -1   2 24614.0 1390.41   6\r\n   4  -1   2 22188.0 1344.37   7\r\n  -4   1   2 20630.2 893.036   4\r\n   4  -1   2 22742.9 1842.62   3\r\n  -4  -1  -2 20246.0 1312.97   4\r\n  -4   1   2 21618.6 1321.42   2\r\n   4   1  -2 21834.6 1498.38   7\r\n   4   1  -2 22965.6 806.243   1\r\n  -4   1   2 21287.2 1235.19   1\r\n  -4  -1  -2 18605.0 1483.45   5\r\n  -4   1   2 22154.6 1429.57   7\r\n   4   1  -2 22726.0 1117.39   5\r\n  -4   1   2 21186.1 1303.96   5\r\n  -4   1   1 45943.4 1657.71   2\r\n  -4  -1  -1 45746.6 1636.44   4\r\n  -4   1   1 45581.5 1099.46   4\r\n  -4  -1  -1 43729.8 1680.36   5\r\n  -4  -1  -1 44536.6 1073.13   2\r\n   4  -1   1 42232.3 1222.57   7\r\n  -4   1   1 42727.2 1421.34   7\r\n   4   1  -1 40593.0 1587.77   7\r\n  -4   1   0 223714. 3129.53   4\r\n  -4   1   0 229252. 3703.43   6\r\n  -4  -1   0 227499. 3435.31   4\r\n  -4  -1   0 226793. 3351.98   2\r\n   4   1   0 223494. 2421.91   5\r\n   4  -1  -1 45459.6 1111.74   4\r\n  -4   1  -1 44702.8 1831.67   4\r\n   4  -1  -1 45477.7 1552.20   1\r\n  -4  -1   1 47012.5 1791.81   4\r\n   4  -1  -1 46710.9 1577.27   7\r\n  -4   1  -1 46049.1 1735.28   6\r\n  -4  -1   1 44996.1 1846.91   2\r\n   4  -1  -2 20975.2 1250.95   1\r\n   4  -1  -2 20326.8 1333.34   2\r\n  -4  -1   2 22452.3 1529.26   2\r\n  -4   1  -2 20686.4 1271.80   6\r\n  -4   1  -2 21469.3 1328.18   7\r\n   4  -1  -2 22107.1 1519.51   7\r\n   4  -1  -2 22935.5 1425.24   5\r\n   4   1   2 20849.6 1268.32   4\r\n  -4  -1   2 21742.7 1044.39   5\r\n   4   1   2 24464.8 1747.78   3\r\n   4   1   3 29618.6 2359.48   3\r\n  -4  -1   3 30195.9 1694.69   5\r\n  -4   1  -3 29784.3 1965.29   7\r\n   4  -1  -3 27315.7 2082.78   7\r\n  -4  -1   3 28782.5 1062.09   1\r\n   4  -1  -3 31712.7 1860.27   2\r\n  -4  -1   3 29310.5 1960.81   2\r\n   4   1   3 32042.3 1841.38   4\r\n   4  -1  -3 29163.8 1955.93   5\r\n  -4  -1   4 41796.9 2681.60   7\r\n   4  -1  -4 39772.4 2644.39   5\r\n  -4  -1   4 39894.0 1543.20   1\r\n  -4   1  -4 39506.1 2671.66   7\r\n   4   1   4 44873.6 2998.19   5\r\n   4  -1  -4 40798.5 2363.23   2\r\n   4   1   4 37221.6 3123.26   3\r\n   4   1   4 38112.4 2314.73   4\r\n   4  -1  -4 41959.9 2925.05   7\r\n   4   1   4 38389.6 2687.25   7\r\n  -4  -1   4 38349.5 2302.27   5\r\n  -4  -1   4 38613.9 2496.14   2\r\n  -4  -1   5 25594.3 2268.48   2\r\n  -4  -1   5 25643.8 2259.49   5\r\n   4   1   5 27182.9 2250.06   4\r\n  -4  -1   5 26818.9 1514.16   1\r\n   4  -1  -5 27839.6 2182.21   2\r\n   4  -1  -5 25919.0 2653.99   7\r\n   4  -1  -5 25019.4 2558.80   5\r\n   4  -1  -6 437.237 916.250   5\r\n  -4  -1   6-13.1583 299.755   1\r\n   4  -1  -6 950.287 945.049   7\r\n  -4  -1   6-961.778 667.066   2\r\n   4   1   6-318.184 879.044   4\r\n   4  -1  -7 3674.54 1236.41   7\r\n  -4  -1   7-1452.00 1077.64   4\r\n  -4  -1   7 641.237 647.818   2\r\n   4   1   7 367.823 724.642   1\r\n   4  -1  -7 2854.39 993.397   5\r\n   4   1   7 738.378 881.070   4\r\n  -4   2   7 4721.84 1213.08   1\r\n   4   2  -7 5104.46 1797.00   7\r\n  -4  -2  -7 5515.62 1786.70   5\r\n   4  -2   7 3460.73 1325.90   4\r\n   4  -2   6 2114.56 693.991   2\r\n  -4   2   6 1491.86 834.748   1\r\n   4  -2   6 2093.98 1050.77   4\r\n  -4  -2  -6 2510.09 1160.35   5\r\n  -4   2   6 2475.72 672.954   4\r\n  -4   2   6 1797.77 690.025   2\r\n  -4   2   6 1845.60 487.075   6\r\n   4   2  -6 3168.23 1337.41   7\r\n  -4   2   5 5958.27 989.133   2\r\n  -4   2   5 7928.33 1042.65   6\r\n   4   2  -5 7961.50 1706.05   7\r\n  -4   2   5 8643.28 982.949   4\r\n  -4   2   5 6839.55 950.084   4\r\n   4  -2   5 7241.34 1291.26   6\r\n   4  -2   5 6900.30 1217.97   2\r\n  -4  -2  -5 8243.74 1750.25   5\r\n   4  -2   5 8953.54 1770.98   4\r\n  -4   2   5 7249.12 1343.44   1\r\n   4  -2   4 377.840 523.761   5\r\n   4  -2   4 287.397 393.057   7\r\n   4   2  -4-449.296 730.225   7\r\n   4  -2   4 232.639 813.578   4\r\n  -4   2   4-337.762 577.110   1\r\n  -4   2   4 167.198 195.380   4\r\n  -4   2   4 115.993 358.325   6\r\n  -4   2   4 125.408 362.988   2\r\n  -4  -2  -4 545.371 704.709   5\r\n   4   2  -4-295.469 447.175   5\r\n  -4   2   4 338.431 266.677   4\r\n   4  -2   4-71.7502 612.802   6\r\n  -4  -2  -3 3606.18 907.635   5\r\n  -4   2   3 2885.78 774.910   7\r\n   4  -2   3 4224.76 993.331   3\r\n  -4   2   3 3817.48 842.513   5\r\n  -4   2   3 2491.93 317.567   4\r\n  -4   2   3 2516.05 623.810   2\r\n  -4  -2  -3 3006.19 635.581   4\r\n  -4  -2  -3-55.1679 875.769   3\r\n   4  -2   3 3307.75 731.185   6\r\n   4   2  -3 2397.01 786.107   7\r\n   4  -2   3 3582.50 875.141   5\r\n   4  -2   3 2843.99 698.891   7\r\n  -4   2   3 2635.05 296.866   4\r\n  -4   2   3 2603.15 627.478   6\r\n  -4   2   3 4236.70 878.387   1\r\n  -4  -2  -2 84099.7 3197.01   3\r\n   4  -2   2 82867.8 3587.06   3\r\n  -4  -2  -2 84180.5 3118.71   5\r\n  -4  -2  -2 84739.4 2548.36   4\r\n   4  -2   2 85227.8 2443.09   7\r\n  -4   2   2 81179.3 2811.55   7\r\n   4   2  -2 86328.2 2965.22   7\r\n   4  -2   2 83017.2 3031.90   6\r\n  -4   2   2 85067.2 2714.16   6\r\n  -4   2   1 69711.6 1923.12   7\r\n  -4  -2  -1 62834.8 2017.65   4\r\n  -4   2   1 65418.0 2325.33   6\r\n   4  -2   1 66946.2 1306.98   7\r\n   4   2  -1 64797.9 2271.90   7\r\n  -4  -2  -1 66763.1 2232.32   5\r\n   4  -2   1 71261.0 2582.76   3\r\n   4  -2   0 172810. 3160.03   4\r\n  -4   2   0 177062. 3870.39   6\r\n  -4  -2   0 176144. 3495.87   4\r\n  -4  -2   0 171205. 2445.26   5\r\n   4   2   0 173568. 2314.16   5\r\n   4  -2  -1 68440.7 1273.87   4\r\n   4  -2  -1 63614.3 2307.27   6\r\n  -4  -2   1 70498.8 2639.69   4\r\n  -4  -2   1 69510.9 2598.73   2\r\n  -4   2  -1 68029.3 2540.94   6\r\n   4   2   1 60068.6 2020.84   4\r\n  -4   2  -1 69282.3 1456.03   7\r\n  -4   2  -1 67152.0 2663.59   3\r\n   4  -2  -1 70027.3 2261.38   1\r\n   4   2   1 68577.7 2221.83   5\r\n   4  -2  -2 82476.4 2913.80   5\r\n   4   2   2 82680.2 2429.66   4\r\n  -4   2  -2 83166.2 2492.07   7\r\n   4  -2  -2 90776.9 2834.05   2\r\n  -4  -2   2 86905.0 1850.40   5\r\n  -4  -2   2 84694.2 3200.99   2\r\n  -4   2  -2 81554.4 3006.05   6\r\n   4  -2  -2 88177.4 2926.48   7\r\n  -4   2  -2 87067.1 3871.60   3\r\n   4  -2  -2 81383.8 2780.77   1\r\n   4  -2  -3 2145.98 728.629   7\r\n   4   2   3 3291.08 812.769   3\r\n   4  -2  -3 3105.30 717.242   2\r\n  -4  -2   3 3100.99 596.236   5\r\n   4  -2  -3 2717.06 835.579   5\r\n  -4  -2   3 1820.69 730.789   2\r\n  -4   2  -3 3010.75 752.290   7\r\n   4   2   3 3397.67 666.696   4\r\n  -4   2  -4 170.124 503.267   7\r\n  -4  -2   4 1008.31 494.016   5\r\n   4  -2  -4 544.309 401.133   2\r\n   4   2   4 177.994 473.678   4\r\n  -4  -2   4 215.785 513.606   2\r\n   4   2   4 1170.86 818.852   3\r\n   4  -2  -4-50.3433 657.973   7\r\n   4  -2  -4 697.732 529.190   5\r\n   4  -2  -5 8641.14 1668.05   5\r\n  -4  -2   5 8653.13 1364.89   5\r\n  -4   2  -5 8261.95 1537.65   7\r\n  -4  -2   5 6887.44 1427.96   2\r\n   4  -2  -5 9880.94 1182.41   2\r\n   4  -2  -5 8711.92 1681.36   7\r\n   4   2   5 7119.76 1220.19   4\r\n   4  -2  -6 415.422 928.215   5\r\n   4   2   6 2013.06 748.072   4\r\n  -4   2  -6 2967.50 1009.06   7\r\n  -4  -2   6 1482.40 799.320   2\r\n   4   2   6 1424.46 994.676   1\r\n   4  -2  -7 2759.52 1418.26   5\r\n  -4  -2   7 4307.73 1238.31   2\r\n   4   2   7 3634.10 1340.64   1\r\n  -4  -3  -7-548.118 921.731   5\r\n   4   3  -7-1151.51 1141.90   7\r\n  -4   3   7 828.919 615.094   1\r\n   4  -3   7-1215.23 1285.81   4\r\n  -4   3   6 1439.10 883.091   1\r\n   4  -3   6 1834.27 639.576   2\r\n   4  -3   6 2224.27 1364.91   4\r\n   4   3  -6 3142.70 1219.02   7\r\n  -4  -3  -6 2349.18 1151.81   5\r\n   4  -3   5 5904.98 1466.34   4\r\n  -4   3   5 4485.11 345.682   4\r\n  -4   3   5 4391.51 352.022   4\r\n   4   3  -5 5654.23 1455.22   7\r\n  -4   3   5 6470.29 1367.72   1\r\n  -4   3   5 5842.62 868.988   6\r\n  -4  -3  -5 5966.46 1400.27   5\r\n  -4  -3  -4 6287.34 976.855   4\r\n  -4  -3  -4 7064.49 1492.88   5\r\n   4  -3   4 8168.88 1204.83   7\r\n   4   3  -4 6901.30 1294.84   7\r\n   4  -3   4 6025.45 1286.76   5\r\n  -4   3   4 7458.42 974.362   6\r\n   4  -3   4 8641.42 1414.27   6\r\n  -4   3   4 8172.51 1335.73   1\r\n   4  -3   3 48778.5 3418.05   3\r\n   4  -3   3 50184.2 2961.60   6\r\n  -4   3   3 45980.0 2614.57   1\r\n  -4   3   3 47761.2 2774.97   7\r\n   4   3  -3 44774.9 2675.84   7\r\n  -4  -3  -3 44980.8 1206.68   2\r\n   4  -3   3 45311.1 2252.41   7\r\n  -4   3   3 47944.3 2294.81   6\r\n  -4  -3  -3 45190.1 2113.51   4\r\n  -4  -3  -3 43742.6 2826.60   5\r\n  -4  -3  -2 19701.2 1574.71   3\r\n   4   3  -2 23951.3 1736.78   7\r\n  -4   3   2 22706.7 1636.40   7\r\n  -4   3   2 22053.3 1588.96   6\r\n   4  -3   2 25538.1 2000.00   6\r\n  -4  -3  -2 22151.2 1385.76   4\r\n   4  -3   2 18967.9 1825.17   3\r\n   4  -3   2 21724.7 1198.25   7\r\n  -4  -3  -2 22443.8 1763.09   5\r\n  -4  -3  -2 20362.3 1085.47   6\r\n   4  -3   1 57190.2 1969.40   1\r\n  -4  -3  -1 61062.8 2237.31   4\r\n  -4   3   1 61549.2 1983.47   7\r\n  -4  -3  -1 57035.1 2296.62   5\r\n   4  -3   1 60074.1 2492.02   3\r\n   4  -3   0 15269.7 1132.22   1\r\n  -4   3   0 13857.7 1322.16   6\r\n  -4   3   0 15765.4 1044.29   3\r\n  -4  -3   0 17325.0 1305.23   4\r\n  -4  -3   0 14524.5 902.568   5\r\n   4  -3  -1 57677.2 2369.32   1\r\n  -4   3  -1 52521.9 2528.10   3\r\n   4   3   1 59203.3 2199.72   5\r\n   4  -3  -1 57307.0 2478.29   6\r\n  -4   3  -1 58544.1 2765.23   6\r\n   4   3   1 56973.3 2282.18   4\r\n   4  -3  -1 55774.5 1522.77   4\r\n  -4  -3   1 58038.2 2753.37   4\r\n  -4  -3   1 56716.2 1155.00   5\r\n  -4   3  -1 57187.7 1446.57   7\r\n   4  -3  -2 20261.1 1657.22   5\r\n   4   3   2 20344.5 1670.04   5\r\n   4   3   2 19949.4 1332.81   4\r\n  -4   3  -2 18597.0 1219.88   7\r\n   4  -3  -2 20976.3 1512.61   2\r\n  -4  -3   2 20619.2 925.613   5\r\n   4  -3  -2 22632.8 1692.88   1\r\n  -4  -3   3 41897.3 2584.96   7\r\n  -4  -3   3 49091.8 2978.60   2\r\n   4  -3  -3 44313.5 2324.66   2\r\n  -4   3  -3 47360.2 2442.21   7\r\n   4   3   3 43987.1 2771.23   5\r\n   4  -3  -3 48342.0 2843.14   5\r\n  -4  -3   3 47072.0 1895.82   5\r\n   4   3   3 50921.1 2153.14   4\r\n   4   3   4 7957.55 1022.15   4\r\n   4  -3  -4 7727.62 1096.94   2\r\n  -4   3  -4 6547.94 1203.52   7\r\n  -4  -3   4 8613.64 1081.23   5\r\n   4  -3  -4 8134.62 1370.34   5\r\n   4   3   4 7840.78 1399.20   3\r\n  -4  -3   4 7537.14 1415.87   2\r\n  -4  -3   5 6631.46 1093.44   5\r\n  -4  -3   5 3761.11 1009.71   2\r\n   4  -3  -5 5622.71 993.397   2\r\n   4   3   5 5689.95 949.435   4\r\n   4   3   5 5606.90 1264.16   1\r\n   4  -3  -5 4051.43 1253.77   5\r\n  -4   3  -5 5826.07 1380.93   7\r\n  -4  -3   6 1620.29 816.968   2\r\n   4   3   6 1859.07 991.723   1\r\n  -4   3  -6 1333.63 832.156   7\r\n   4  -3  -6 1939.22 1172.56   5\r\n   4   3   6 1017.08 664.118   4\r\n  -4  -3   7 1396.47 695.057   2\r\n   4  -3  -7 1418.84 1091.99   5\r\n   4   3   7 373.286 998.688   1\r\n  -4   4   6 3200.34 1165.84   1\r\n   4  -4   6 2396.19 1291.68   4\r\n  -4  -4  -6 5203.79 1307.36   5\r\n   4   4  -6 2931.75 1107.55   7\r\n   4  -4   6 4392.91 1145.28   2\r\n  -4   4   5 772.245 766.567   3\r\n   4  -4   5 954.301 1240.83   4\r\n   4   4  -5 1675.94 929.313   7\r\n  -4  -4  -5 300.101 854.807   5\r\n  -4   4   5 814.350 363.007   6\r\n  -4   4   5 1121.46 928.533   1\r\n  -4  -4  -4 2257.65 993.534   5\r\n  -4  -4  -4 3168.71 395.193   2\r\n  -4  -4  -4 3329.40 648.908   4\r\n   4  -4   4 1867.24 703.927   7\r\n   4   4  -4 2022.60 922.609   7\r\n  -4   4   4 3205.51 751.939   6\r\n  -4   4   4 2485.97 1028.95   1\r\n  -4  -4  -3 230.756 639.168   5\r\n  -4   4   3 1192.00 679.314   7\r\n   4   4  -3 846.113 619.642   7\r\n   4  -4   3-162.737 623.133   3\r\n   4  -4   3 898.413 799.100   6\r\n  -4  -4  -3 564.383 359.908   4\r\n  -4  -4  -3 828.915 306.021   6\r\n  -4   4   3 1039.73 587.802   6\r\n  -4   4   3 912.327 806.269   1\r\n   4  -4   3 537.854 451.874   7\r\n   4   4  -2 25087.2 1824.12   7\r\n  -4  -4  -2 23930.8 1666.00   3\r\n  -4  -4  -2 22936.7 1497.25   4\r\n   4   4  -2 21925.1 790.630   1\r\n   4  -4   2 22508.3 1372.02   1\r\n  -4   4   2 24202.6 1746.79   7\r\n  -4  -4  -2 21226.0 1407.82   6\r\n   4  -4   2 25644.3 2316.70   6\r\n   4  -4   2 22129.0 2076.35   3\r\n  -4  -4  -2 22267.5 1914.00   5\r\n  -4   4   2 21264.0 1733.05   6\r\n   4  -4   1 21361.1 1416.74   1\r\n  -4   4   1 18846.7 1259.95   7\r\n  -4   4   1 21881.9 1817.80   6\r\n  -4  -4  -1 20847.9 1558.97   5\r\n  -4  -4  -1 19944.9 1459.41   4\r\n   4   4  -1 19427.8 1135.74   1\r\n  -4   4   0 16982.5 1147.61   3\r\n   4  -4   0 14994.1 1277.94   1\r\n  -4  -4   0 15442.5 1093.54   5\r\n  -4  -4   0 16241.8 1471.04   4\r\n  -4   4   0 13803.0 1537.67   6\r\n   4  -4   0 17337.9 1690.15   6\r\n  -4   4  -1 20199.6 1917.96   6\r\n  -4  -4   1 20888.8 985.380   5\r\n   4  -4  -1 21128.7 1774.20   6\r\n   4   4   1 21240.6 1711.03   4\r\n  -4  -4   1 19923.2 1844.35   4\r\n  -4   4  -1 21755.2 1039.56   7\r\n   4  -4  -1 19445.3 1603.57   1\r\n   4   4   1 22075.3 1457.68   5\r\n  -4   4  -2 22696.4 1429.69   7\r\n   4  -4  -2 20973.6 1848.20   5\r\n   4  -4  -2 22059.8 1818.60   1\r\n   4  -4  -2 22593.7 1804.90   6\r\n   4   4   2 19993.5 1514.06   4\r\n   4  -4  -2 23599.4 1712.82   2\r\n   4   4   2 23978.3 1853.04   5\r\n   4   4   3 962.861 481.982   4\r\n   4  -4  -3 428.424 774.289   5\r\n   4  -4  -3 1202.13 540.607   2\r\n  -4  -4   3 958.333 394.786   5\r\n  -4   4  -3 760.258 471.946   7\r\n   4   4   4 3380.24 733.524   4\r\n   4  -4  -4 2316.73 708.201   2\r\n   4  -4  -4 3163.27 1168.14   5\r\n  -4  -4   4 1409.95 1010.87   2\r\n  -4   4  -4 1908.19 853.924   7\r\n   4   4   4 3605.32 1117.23   1\r\n  -4  -4   4 2841.11 674.756   5\r\n  -4  -4   5-44.5970 848.462   5\r\n  -4   4  -5 997.399 639.874   7\r\n   4   4   5 677.392 713.593   1\r\n  -4  -4   5 1411.32 834.510   2\r\n   4  -4  -5 921.764 544.499   2\r\n   4   4   5 1439.70 618.084   4\r\n   4  -4  -5 487.260 849.011   5\r\n   4  -4  -6 2455.91 1300.57   5\r\n  -4  -4   6 3149.10 1120.23   2\r\n  -4   4  -6 4027.33 1028.85   7\r\n   4   4   6 2682.27 1359.49   1\r\n  -4   5   6 1697.13 964.561   1\r\n  -4  -5  -6 3617.44 1211.28   5\r\n   4   5  -6 1102.71 768.236   7\r\n   4  -5   6 1797.46 1306.83   4\r\n  -4   5   5 2666.85 648.303   6\r\n   4   5  -5 3825.11 1225.46   7\r\n  -4  -5  -5 3134.85 1368.05   5\r\n  -4   5   4 5542.51 1409.41   1\r\n  -4  -5  -4 6151.36 1600.36   5\r\n   4   5  -4 5616.02 1392.08   7\r\n   4  -5   4 6660.95 714.711   1\r\n  -4  -5  -4 5137.59 811.004   4\r\n  -4   5   4 5586.29 1176.75   3\r\n  -4   5   4 4613.90 921.883   6\r\n  -4  -5  -4 6574.88 792.924   2\r\n  -4   5   3 15954.6 1383.68   3\r\n   4  -5   3 16363.1 2221.63   3\r\n   4  -5   3 14994.6 1174.08   1\r\n  -4  -5  -3 17978.8 1427.98   4\r\n  -4   5   3 16474.5 1803.49   7\r\n  -4   5   3 15686.9 1908.37   1\r\n  -4   5   3 13807.5 1575.51   6\r\n  -4  -5  -3 14939.0 1221.10   6\r\n   4   5  -3 17110.8 1895.58   7\r\n  -4  -5  -3 14620.8 1911.91   5\r\n   4  -5   2 18725.6 1986.84   3\r\n  -4   5   2 17757.3 1819.78   1\r\n  -4   5   2 17463.4 1617.33   7\r\n   4   5  -2 17699.7 949.774   1\r\n  -4   5   2 16349.5 1753.94   6\r\n   4  -5   2 18504.8 1426.35   1\r\n  -4  -5  -2 19183.0 1639.00   6\r\n  -4  -5  -2 17384.5 1419.80   4\r\n  -4   5   2 16130.1 766.585   3\r\n   4   5  -2 18931.9 1794.08   7\r\n  -4  -5  -2 16695.4 1814.03   5\r\n  -4  -5  -1 2511.85 449.811   3\r\n  -4  -5  -1 2538.94 750.140   5\r\n   4   5  -1 2619.11 544.496   1\r\n   4  -5   1 2552.94 631.450   1\r\n  -4  -5  -1 3234.60 754.364   4\r\n  -4   5   1 2104.75 815.095   6\r\n   4  -5   1 3274.09 1001.12   6\r\n  -4  -5  -1 3700.43 847.329   6\r\n  -4   5   1 2786.57 889.903   1\r\n   4   5   0 4201.66 818.344   1\r\n  -4  -5   0 4530.27 722.432   5\r\n   4  -5   0 6061.39 1176.46   6\r\n  -4   5   0 4339.71 1051.49   6\r\n   4  -5   0 4472.18 841.162   1\r\n  -4  -5   0 5232.68 984.316   4\r\n   4  -5  -1 3206.87 956.610   6\r\n  -4  -5   1 3340.68 567.092   5\r\n   4  -5  -1 2300.78 750.030   5\r\n  -4   5  -1 2868.05 499.621   7\r\n   4   5   1 2001.92 818.802   1\r\n   4  -5  -1 3375.51 775.085   1\r\n  -4  -5   1 3583.31 991.911   4\r\n   4  -5  -2 16283.6 1732.35   6\r\n   4  -5  -2 16377.4 758.062   4\r\n  -4   5  -2 16104.7 1296.51   7\r\n   4   5   2 16689.8 1817.45   1\r\n   4  -5  -2 16817.1 745.927   4\r\n   4  -5  -2 17155.4 1839.98   5\r\n   4   5   2 19855.4 1772.02   5\r\n   4  -5  -3 16568.7 1701.69   2\r\n  -4  -5   3 15481.5 1151.28   5\r\n  -4   5  -3 15090.6 1503.59   7\r\n   4   5   3 15239.1 1484.69   4\r\n   4   5   3 12262.9 1818.86   1\r\n   4  -5  -3 13992.6 1879.52   5\r\n  -4  -5   4 5452.77 854.618   5\r\n  -4   5  -4 5608.43 1189.40   7\r\n   4   5   4 6075.98 1413.25   1\r\n   4  -5  -4 6097.32 1050.55   2\r\n   4   5   4 6433.52 960.883   4\r\n   4  -5  -4 5472.18 1447.82   5\r\n  -4  -5   4 5182.30 1393.35   2\r\n   4  -5  -5 1573.09 914.696   5\r\n  -4   5  -5 2650.98 869.598   7\r\n  -4  -5   5 1067.91 1072.64   2\r\n   4   5   5 2549.52 1236.63   1\r\n   4  -5  -6 1011.89 1068.43   5\r\n  -4  -5   6 2764.07 1420.43   2\r\n  -4   5  -6 1929.86 1028.60   7\r\n   4   5   6 1988.06 1237.10   1\r\n  -4   6   5 1339.14 1110.74   1\r\n  -4  -6  -5 1867.66 1223.49   5\r\n   4   6  -5-50.8386 1219.09   7\r\n  -4  -6  -4 1062.74 867.187   5\r\n  -4   6   4 1181.75 962.074   1\r\n  -4   6   4 816.346 722.390   6\r\n   4   6  -4 365.091 656.687   7\r\n   4  -6   3 3035.77 617.946   1\r\n  -4  -6  -3 2404.92 947.000   5\r\n  -4  -6  -3 3681.67 801.180   4\r\n   4   6  -3 3450.40 1087.22   7\r\n  -4  -6  -3 4523.95 858.204   6\r\n  -4   6   3 3127.45 997.684   6\r\n  -4   6   3 2648.50 1035.76   1\r\n  -4  -6  -2 1009.13 808.949   5\r\n   4  -6   2 1519.43 607.903   3\r\n  -4   6   2 887.613 717.533   1\r\n   4   6  -2 805.633 697.737   7\r\n  -4  -6  -2 688.726 606.304   6\r\n   4  -6   2 987.847 341.909   1\r\n  -4   6   2 1336.38 770.524   6\r\n   4   6  -2 644.744 350.105   1\r\n  -4  -6  -2 485.216 430.799   4\r\n  -4   6   2 706.323 496.049   7\r\n   4   6  -1 24128.2 1655.52   1\r\n   4  -6   1 22063.1 1791.97   1\r\n  -4  -6  -1 25231.5 2289.33   6\r\n  -4  -6  -1 22107.3 1877.59   4\r\n  -4   6   1 22484.5 2326.77   6\r\n  -4   6   1 19880.2 1964.99   1\r\n  -4  -6  -1 19635.7 1853.54   5\r\n   4   6   0 3640.37 894.675   1\r\n  -4  -6   0 3551.57 779.368   5\r\n   4  -6   0 1933.55 700.169   1\r\n  -4  -6   0 3369.83 901.930   4\r\n   4  -6  -1 22171.6 1758.61   4\r\n  -4   6  -1 23088.4 1383.71   7\r\n   4   6   1 20984.4 1988.72   1\r\n   4  -6  -1 21433.8 2097.51   5\r\n  -4  -6   1 21205.2 1452.76   5\r\n   4  -6  -2 587.172 257.120   4\r\n   4  -6  -2 369.675 233.265   4\r\n  -4   6  -2 733.319 477.189   7\r\n   4  -6  -2 454.921 629.816   5\r\n   4   6   2 433.338 610.493   1\r\n   4  -6  -2 284.440 687.214   6\r\n  -4   6  -3 3640.28 841.078   7\r\n   4  -6  -3 3999.34 1151.11   5\r\n  -4  -6   3 2685.06 571.144   5\r\n   4   6   3 3784.75 1155.25   1\r\n   4  -6  -3 4688.77 958.923   6\r\n   4  -6  -4 1510.99 1048.23   5\r\n  -4   6  -4 1594.99 772.131   7\r\n   4   6   4 695.667 905.563   1\r\n   4  -6  -5 2389.24 899.909   5\r\n  -4  -6   5 2722.42 1180.05   2\r\n  -4   6  -5 915.290 907.101   7\r\n   4   6   5 452.337 1246.78   1\r\n  -4  -7  -5 927.384 703.877   5\r\n  -4   7   5 808.264 1159.61   1\r\n   4   7  -5 1898.06 1105.36   7\r\n  -4   7   4 5665.19 1737.38   1\r\n  -4  -7  -4 9016.86 1891.91   5\r\n   4   7  -4 5004.68 1505.32   7\r\n  -4  -7  -3 555.727 942.382   5\r\n   4   7  -3 390.661 770.117   7\r\n  -4   7   3 861.226 834.306   1\r\n  -4   7   2 5531.64 1064.52   7\r\n  -4   7   2 3488.09 1044.36   1\r\n  -4  -7  -2 5141.65 1280.25   5\r\n  -4  -7  -2 4985.49 893.691   4\r\n   4  -7   2 4989.42 869.909   1\r\n  -4  -7  -2 5400.48 1237.23   6\r\n   4   7  -2 7256.02 1345.47   7\r\n   4   7  -1 5131.02 979.895   1\r\n  -4  -7  -1 4494.04 1046.21   5\r\n  -4  -7  -1 6356.81 1123.49   4\r\n  -4   7   1 5276.30 1153.07   1\r\n  -4  -7   0 1165.12 333.622   3\r\n  -4  -7   0 1331.09 663.966   5\r\n   4   7   0 1717.33 740.619   1\r\n  -4  -7   1 4594.11 828.129   5\r\n   4  -7  -1 4232.63 1149.16   5\r\n  -4   7  -1 5602.62 816.892   7\r\n   4   7   1 5514.60 1270.23   1\r\n   4  -7  -1 6349.25 1109.24   4\r\n   4  -7  -2 5653.00 1340.54   5\r\n  -4  -7   2 5491.18 784.326   5\r\n   4   7   2 5280.83 1376.83   1\r\n  -4   7  -2 4856.66 872.801   7\r\n   4  -7  -2 3832.96 624.280   4\r\n   4   7   3 614.305 847.244   1\r\n   4  -7  -3 945.733 525.384   5\r\n  -4   7  -3 855.463 583.687   7\r\n   4   7   4 4185.54 1379.81   1\r\n   4  -7  -4 7812.23 1805.13   5\r\n  -4   7  -4 5179.88 1177.48   7\r\n   4  -7  -5 1832.20 1101.33   5\r\n   4   7   5 1229.30 955.688   1\r\n  -4  -7   5-1491.17 997.708   2\r\n  -4  -8  -4 179.774 1181.09   5\r\n   4   8  -4-225.944 1095.77   7\r\n  -4   8   4-111.113 891.438   1\r\n   4   8  -3 3078.13 1132.70   7\r\n  -4   8   3 786.928 1024.07   1\r\n  -4  -8  -3 852.154 1097.78   5\r\n  -4  -8  -2 1469.85 1041.24   5\r\n   4   8  -2 3019.30 1045.76   7\r\n  -4   8   2 2818.32 1123.09   1\r\n   4   8  -1 9198.16 1594.31   7\r\n   4   8  -1 9540.11 1350.49   1\r\n  -4   8   1 9982.33 1655.75   1\r\n  -4  -8  -1 11550.4 1652.58   5\r\n  -4  -8   0 7430.49 1269.32   5\r\n   4  -8   0 5762.74 1230.24   5\r\n   4   8   0 9303.55 1461.64   1\r\n   4  -8  -1 9251.00 1701.91   5\r\n   4   8   1 10213.6 1658.87   1\r\n  -4   8  -1 11356.2 1252.28   7\r\n  -4  -8   1 10121.2 1275.22   5\r\n   4  -8  -2 4551.02 1165.75   5\r\n   4   8   2 2217.76 1191.36   1\r\n   4   8   3 565.776 1118.60   1\r\n   4  -8  -3 2828.39 1208.03   5\r\n   4  -8  -4 1144.68 984.170   5\r\n   4   8   4 1378.20 1082.54   1\r\n  -4  -9  -2 80.0484 976.277   5\r\n  -4   9   2 1387.56 930.456   1\r\n   4   9  -2 21.3601 1005.32   7\r\n   4  -9   1 406.768 423.443   5\r\n   4   9  -1 732.133 702.314   7\r\n  -4  -9   0 705.356 428.132   5\r\n   4  -9   0 798.491 967.204   5\r\n   4   9   0 1142.91 881.077   1\r\n   4  -9  -1 1076.60 730.785   5\r\n   4   9   1 516.289 902.396   1\r\n   4  -9  -2 2258.22 937.565   5\r\n   4   9   2 994.950 781.753   1\r\n  -5   0   0-33.4739 249.397   4\r\n  -5   0   0-112.078 250.244   2\r\n  -5   0   1 59306.2 1745.66   4\r\n  -5   0  -1 55496.1 1984.09   4\r\n   5   0  -1 57929.7 1788.17   7\r\n   5   0   1 57015.5 1458.96   2\r\n  -5   0  -1 54151.1 1700.25   6\r\n  -5   0   1 53126.3 1959.24   2\r\n   5   0  -1 58345.9 1808.21   4\r\n   5   0   2 56145.2 2769.33   3\r\n   5   0  -2 47365.4 2186.84   7\r\n   5   0  -2 46363.3 1595.20   1\r\n   5   0   2 49460.6 2014.37   7\r\n  -5   0  -2 49981.3 1608.90   6\r\n  -5   0  -2 52241.0 2291.89   4\r\n  -5   0   2 52411.9 2233.11   2\r\n   5   0  -2 50690.9 2228.60   2\r\n   5   0   2 52531.0 1676.93   6\r\n   5   0  -2 46599.1 1775.18   5\r\n  -5   0   2 53676.5 1955.83   4\r\n   5   0  -3 16032.5 1373.20   5\r\n   5   0   3 15229.1 1447.12   4\r\n  -5   0   3 16366.9 1075.97   1\r\n   5   0  -3 18234.5 1552.68   2\r\n  -5   0   3 17102.0 1414.98   4\r\n   5   0   3 15459.9 989.078   6\r\n   5   0  -3 15743.6 1591.11   7\r\n   5   0   3 15862.9 1473.20   7\r\n   5   0   3 15469.5 1852.76   3\r\n  -5   0  -3 16650.9 1633.09   5\r\n   5   0  -3 14020.1 1041.41   1\r\n  -5   0   3 13267.5 1333.73   2\r\n  -5   0   3 14604.2 1237.70   5\r\n   5   0   4 5452.99 1325.75   3\r\n  -5   0   4 7998.08 1181.91   5\r\n   5   0   4 7545.09 1364.56   5\r\n  -5   0   4 8168.04 940.541   1\r\n  -5   0   4 7531.25 1303.27   7\r\n   5   0   4 7815.24 1261.57   7\r\n   5   0  -4 7805.38 1424.99   7\r\n   5   0   4 9239.09 846.601   6\r\n   5   0   4 7765.12 676.762   2\r\n   5   0  -4 9239.21 1288.10   5\r\n   5   0   4 7057.90 1178.13   4\r\n  -5   0   4 7096.56 1129.22   2\r\n  -5   0  -4 6855.84 1251.37   5\r\n   5   0  -4 8505.41 1220.35   2\r\n   5   0  -5 16194.1 1973.09   5\r\n  -5   0   5 16160.1 1458.47   1\r\n   5   0   5 15476.5 995.865   2\r\n   5   0  -5 13270.8 2272.86   7\r\n   5   0   5 17435.0 1196.35   6\r\n   5   0   5 15950.2 1911.03   4\r\n  -5   0   5 14188.1 1754.25   2\r\n   5   0  -6-925.386 711.547   5\r\n  -5   0   6-917.892 620.883   2\r\n   5   0  -6-1824.69 1193.46   7\r\n   5   0   6-69.1165 863.018   4\r\n  -5   0   6 489.738 423.854   1\r\n   5   0  -7-90.3310 1211.11   5\r\n   5   0  -7 401.311 1017.80   7\r\n   5   0   7-1491.06 982.525   4\r\n  -5   0   7 1008.76 853.104   4\r\n   5   0   7 42.4515 823.720   1\r\n  -5   0   7 543.717 347.683   2\r\n   5  -1   7 1566.37 1016.66   4\r\n  -5   1   7 3187.75 912.503   1\r\n   5   1  -7 2305.20 911.125   7\r\n  -5  -1  -7 3846.05 1478.02   5\r\n   5   1  -7 4047.17 1268.46   5\r\n   5  -1   6 1070.85 841.025   4\r\n   5   1  -6 2058.57 882.808   5\r\n   5  -1   6 90.8838 239.819   2\r\n  -5   1   6 2492.71 879.213   1\r\n  -5   1   6 1678.98 706.423   4\r\n  -5   1   6 2097.54 780.614   2\r\n   5   1  -6 1519.71 1132.30   7\r\n  -5   1   6 985.532 445.133   4\r\n  -5  -1  -6 2135.39 1247.28   5\r\n   5   1  -5 529.046 702.465   5\r\n  -5   1   5 775.709 644.541   1\r\n   5  -1   5 1008.45 510.872   2\r\n   5  -1   5 216.459 1028.03   4\r\n   5  -1   5 1567.56 658.198   6\r\n  -5   1   5 1207.52 746.768   2\r\n   5   1  -5 441.442 818.374   7\r\n  -5   1   5 574.483 532.976   4\r\n  -5  -1  -5 1531.97 1048.60   5\r\n  -5  -1  -4 7483.82 1430.18   5\r\n   5   1  -4 5935.13 973.004   5\r\n   5  -1   4 7861.07 1401.81   5\r\n  -5   1   4 6708.26 1162.86   5\r\n   5  -1   4 6835.30 1016.79   6\r\n  -5   1   4 7541.72 964.279   4\r\n   5  -1   4 8118.50 1361.85   4\r\n  -5   1   4 7030.26 1010.77   1\r\n  -5   1   4 6631.60 1257.00   7\r\n  -5   1   4 6731.34 1088.51   2\r\n   5  -1   4 6987.75 1160.08   7\r\n   5   1  -4 6174.01 1369.68   7\r\n   5   1  -3 5243.25 760.828   5\r\n   5  -1   3 6251.47 850.213   6\r\n   5  -1   3 7182.10 1335.16   3\r\n  -5  -1  -3 6573.05 999.179   4\r\n  -5   1   3 5975.03 913.117   5\r\n  -5  -1  -3 6196.80 1371.21   3\r\n  -5   1   3 6125.80 800.604   1\r\n  -5  -1  -3 6369.61 1105.48   5\r\n  -5   1   3 5620.57 655.206   4\r\n   5  -1   3 4852.87 1006.68   4\r\n   5   1  -3 5994.97 1104.88   7\r\n   5  -1   3 5248.69 897.234   7\r\n  -5   1   3 6322.96 1023.34   7\r\n  -5   1   3 4772.83 864.170   2\r\n   5  -1   2 43589.6 2553.69   3\r\n  -5  -1  -2 44882.2 2194.20   5\r\n  -5   1   2 42004.4 1963.51   7\r\n  -5  -1  -2 42304.8 1967.38   4\r\n  -5   1   2 44881.7 1385.23   4\r\n   5  -1   2 40664.2 1851.22   6\r\n   5  -1   2 43754.8 1859.77   7\r\n  -5   1   2 40740.2 1912.30   2\r\n  -5  -1  -2 43471.5 1148.70   6\r\n  -5   1   2 40897.3 1721.40   1\r\n   5   1  -2 42450.2 2091.61   7\r\n   5   1  -2 42086.5 1206.82   1\r\n   5   1  -2 44916.3 1531.23   5\r\n  -5  -1  -2 46090.2 2579.10   3\r\n   5  -1   1 267424. 4427.84   6\r\n  -5   1   1 272849. 3150.10   4\r\n  -5   1   1 267174. 3487.35   7\r\n  -5  -1  -1 274134. 3056.82   2\r\n  -5  -1  -1 254403. 4151.73   4\r\n  -5   1   1 270845. 4248.29   2\r\n   5  -1   1 269972. 3060.41   7\r\n   5   1  -1 287616. 4324.23   7\r\n  -5  -1  -1 267867. 4198.81   5\r\n   5   1   0 764951. 4953.04   5\r\n  -5   1   0 768888. 7390.80   6\r\n  -5  -1   0 705599. 6622.55   4\r\n   5  -1   0 841635. 3928.29   7\r\n  -5  -1   0 769569. 6702.99   2\r\n  -5   1   0 773285. 6334.14   4\r\n   5  -1   0 783806. 6274.54   4\r\n  -5   1  -1 273105. 4709.07   4\r\n  -5  -1   1 273939. 4445.79   4\r\n   5   1   1 276952. 3171.02   2\r\n   5  -1  -1 260206. 3726.50   7\r\n  -5  -1   1 249369. 4560.34   2\r\n   5  -1  -1 272093. 3170.40   4\r\n  -5   1  -1 279793. 4503.80   6\r\n   5  -1  -1 278011. 3990.86   1\r\n   5   1   1 256265. 4169.51   5\r\n  -5   1  -2 42364.2 1888.43   6\r\n   5   1   2 40832.5 1894.30   4\r\n   5  -1  -2 45294.1 1853.16   1\r\n   5  -1  -2 43643.6 2092.86   7\r\n  -5  -1   2 41768.3 2152.39   2\r\n   5  -1  -2 38285.2 1921.80   2\r\n  -5  -1   2 41808.7 1351.34   5\r\n   5  -1  -2 37866.4 1820.27   5\r\n   5   1   3 6345.11 927.504   4\r\n  -5  -1   3 6015.03 995.024   2\r\n   5  -1  -3 6836.81 965.859   2\r\n   5  -1  -3 5044.48 1058.88   7\r\n   5   1   3 6918.51 1172.13   3\r\n  -5  -1   3 6537.61 802.511   5\r\n   5  -1  -3 4552.59 745.727   1\r\n   5  -1  -3 5220.21 893.301   5\r\n   5  -1  -4 4739.67 1049.40   5\r\n  -5  -1   4 6484.77 1023.95   5\r\n   5   1   4 5680.87 1102.80   7\r\n   5  -1  -4 6703.87 1428.95   7\r\n   5  -1  -4 7616.06 1131.30   2\r\n   5   1   4 8055.10 1583.48   3\r\n  -5  -1   4 7004.28 1193.28   2\r\n   5   1   4 7021.79 1139.57   4\r\n   5  -1  -5 954.377 858.969   5\r\n  -5  -1   5 1485.36 796.341   5\r\n  -5  -1   5 1665.72 755.249   2\r\n   5  -1  -5 1125.73 587.053   2\r\n  -5  -1   5 1006.64 408.799   1\r\n   5  -1  -5 238.522 726.339   7\r\n   5   1   5 849.552 814.870   4\r\n   5  -1  -6 457.344 936.919   5\r\n  -5  -1   6-731.556 665.927   2\r\n   5   1   6 997.046 858.315   4\r\n   5  -1  -6 324.796 706.293   7\r\n  -5  -1   7 1564.10 784.239   2\r\n   5  -1  -7 2764.96 1302.23   5\r\n   5   1   7 4307.43 1319.63   4\r\n   5   1   7 1868.84 1174.26   1\r\n   5  -1  -7 4367.22 1402.71   7\r\n   5  -2   7 1802.94 1281.83   4\r\n  -5   2   7 1832.45 1036.75   1\r\n   5   2  -7 1122.04 1278.20   7\r\n  -5  -2  -7 2288.65 1424.96   5\r\n  -5   2   6 2804.44 740.368   4\r\n   5   2  -6 3847.83 1579.30   7\r\n  -5  -2  -6 3969.45 1413.44   5\r\n   5  -2   6 2164.22 1317.20   4\r\n  -5   2   6 2432.74 973.986   1\r\n   5  -2   6 1974.51 804.722   2\r\n  -5   2   6 2421.08 737.026   2\r\n  -5   2   6 3838.23 801.977   6\r\n  -5  -2  -5 11983.3 1923.14   5\r\n   5  -2   5 14409.6 1725.11   6\r\n  -5   2   5 14446.2 1550.09   2\r\n   5  -2   5 12923.3 2025.38   4\r\n  -5   2   5 12538.1 1411.23   6\r\n   5   2  -5 14762.7 1639.61   5\r\n  -5   2   5 14507.2 1206.49   4\r\n  -5   2   5 16231.2 1235.50   4\r\n  -5   2   5 13215.8 1668.13   1\r\n   5   2  -5 15659.5 2137.82   7\r\n  -5  -2  -4 8935.42 1474.19   5\r\n   5  -2   4 8432.19 1457.05   5\r\n  -5   2   4 9576.15 1135.72   2\r\n  -5   2   4 8687.46 763.821   4\r\n  -5   2   4 8562.08 1255.35   1\r\n   5  -2   4 10863.2 1373.78   6\r\n   5  -2   4 10085.0 1594.16   4\r\n  -5   2   4 9103.48 1127.39   6\r\n   5  -2   4 9337.64 1374.46   7\r\n  -5   2   4 8332.59 723.481   4\r\n   5   2  -4 8396.43 1095.21   5\r\n   5   2  -4 8334.48 1460.81   7\r\n  -5   2   3 33284.1 1013.08   4\r\n  -5  -2  -3 37894.8 2833.57   3\r\n   5  -2   3 32642.0 1973.33   7\r\n  -5   2   3 32063.3 1941.15   6\r\n  -5   2   3 32380.1 2019.93   1\r\n  -5   2   3 34615.1 1926.97   2\r\n   5   2  -3 34963.7 2401.87   7\r\n   5  -2   3 33681.4 2308.63   5\r\n  -5   2   3 34858.9 2270.30   7\r\n   5  -2   3 34404.8 2814.54   3\r\n   5   2  -3 34974.7 1605.03   5\r\n  -5  -2  -3 33646.2 2385.91   5\r\n   5  -2   3 33856.9 2173.23   6\r\n  -5  -2  -3 34430.2 2016.09   4\r\n   5  -2   2 24795.3 2049.78   3\r\n  -5  -2  -2 26092.1 1925.78   3\r\n  -5   2   2 22807.7 1569.49   6\r\n  -5   2   2 22832.2 1477.87   2\r\n  -5   2   2 22678.0 656.740   4\r\n  -5  -2  -2 25702.1 1540.88   4\r\n   5   2  -2 23696.1 1623.05   7\r\n   5  -2   2 24370.4 1341.99   7\r\n   5   2  -2 22537.6 646.479   1\r\n   5  -2   2 24720.7 1736.44   6\r\n  -5  -2  -2 23078.3 1723.09   5\r\n  -5  -2  -2 24088.6 808.752   2\r\n  -5   2   2 24131.8 1555.98   7\r\n  -5  -2  -1 137303. 3211.76   4\r\n   5  -2   1 132513. 1808.36   7\r\n  -5   2   1 132619. 3515.47   6\r\n  -5   2   1 134719. 2242.31   4\r\n  -5  -2  -1 137298. 2733.48   2\r\n  -5  -2  -1 131756. 3165.74   5\r\n  -5   2   1 129370. 2549.20   7\r\n  -5  -2   0 177217. 3701.55   4\r\n   5  -2   0 173739. 3282.51   4\r\n  -5  -2   0 171073. 3653.30   2\r\n  -5   2   0 170101. 4007.46   6\r\n  -5  -2   0 171401. 2467.35   5\r\n   5   2   0 172226. 2449.32   5\r\n   5  -2  -1 136296. 2080.29   4\r\n   5  -2  -1 137334. 3268.99   1\r\n  -5  -2   1 136224. 3729.51   2\r\n   5  -2  -1 134595. 2682.14   7\r\n  -5   2  -1 135900. 3710.31   6\r\n  -5  -2   1 138987. 3714.92   4\r\n   5   2   1 134845. 3203.57   4\r\n   5   2   1 139301. 3249.74   5\r\n  -5   2  -1 132748. 3855.30   3\r\n   5  -2  -2 23633.2 1557.22   7\r\n  -5   2  -2 22562.1 2130.66   3\r\n   5   2   2 24278.7 1468.59   4\r\n  -5  -2   2 25880.8 1931.61   4\r\n  -5  -2   2 24682.0 1823.40   2\r\n  -5   2  -2 24265.4 1710.60   6\r\n   5  -2  -2 22772.3 1562.39   1\r\n  -5   2  -2 21416.1 1270.64   7\r\n   5   2   2 24745.1 1775.77   5\r\n   5  -2  -2 22498.5 1581.37   5\r\n   5  -2  -2 23395.8 1554.37   2\r\n  -5  -2   2 23685.8 860.379   5\r\n   5   2   3 33209.7 1851.70   4\r\n   5  -2  -3 37480.5 2384.98   7\r\n   5  -2  -3 38535.9 2187.40   1\r\n  -5  -2   3 32511.6 2300.18   2\r\n  -5  -2   3 34423.8 1580.03   5\r\n   5  -2  -3 33504.4 2060.65   2\r\n  -5   2  -3 31499.4 1982.10   7\r\n   5  -2  -3 29346.4 2136.38   5\r\n   5   2   3 35826.6 2546.63   3\r\n   5   2   4 8651.62 1548.91   3\r\n  -5  -2   4 7752.97 1308.44   2\r\n  -5  -2   4 8564.38 1055.37   5\r\n   5  -2  -4 9211.28 1480.80   5\r\n   5   2   4 7374.57 1096.44   4\r\n   5  -2  -4 8393.66 1442.57   7\r\n   5  -2  -4 9603.80 1278.37   2\r\n  -5   2  -4 9104.54 1384.05   7\r\n   5  -2  -5 12702.5 1949.31   5\r\n   5   2   5 14374.2 1680.66   4\r\n  -5  -2   5 11679.4 1701.03   2\r\n   5  -2  -5 14637.2 1670.75   2\r\n   5  -2  -5 12820.8 1939.66   7\r\n  -5   2  -5 12872.8 1860.17   7\r\n  -5  -2   5 15423.1 1739.37   5\r\n   5  -2  -6 4393.61 1463.81   5\r\n   5   2   6 3585.73 1111.55   4\r\n  -5  -2   6 2111.34 878.633   2\r\n   5  -2  -6 3366.50 1387.55   7\r\n   5  -2  -7 1499.22 1418.75   5\r\n  -5  -2   7 2988.74 1012.46   2\r\n   5   2   7 1903.02 1043.23   4\r\n   5   2   7 873.493 1116.40   1\r\n  -5  -3  -7 3430.36 1869.77   5\r\n  -5   3   7 959.597 985.467   1\r\n   5   3  -7 2580.62 1472.86   7\r\n   5  -3   7 4544.19 1610.43   4\r\n  -5  -3  -6 4882.99 1584.32   5\r\n  -5   3   6 3573.52 1315.68   1\r\n   5  -3   6 5617.16 1196.49   2\r\n   5   3  -6 5844.27 1465.75   7\r\n   5  -3   6 4237.36 1511.41   4\r\n  -5  -3  -5 6878.38 1599.19   5\r\n  -5   3   5 6381.85 1011.49   6\r\n  -5   3   5 6495.47 1364.33   1\r\n   5  -3   5 4962.06 1543.91   4\r\n   5   3  -5 4805.44 1356.07   7\r\n  -5   3   4 4470.83 1110.07   1\r\n   5  -3   4 5691.62 1079.40   7\r\n  -5  -3  -4 4669.49 1129.81   5\r\n   5  -3   4 6513.00 1407.72   4\r\n  -5  -3  -4 6246.52 1003.86   4\r\n   5   3  -4 5086.21 1125.53   7\r\n  -5   3   4 5289.48 952.729   6\r\n   5  -3   4 6698.92 1269.28   6\r\n  -5   3   3 701.877 570.227   7\r\n  -5  -3  -3 641.360 166.032   2\r\n   5  -3   3 1824.56 773.827   3\r\n  -5   3   3 1152.09 665.787   1\r\n  -5  -3  -3 766.569 779.966   3\r\n   5   3  -3 287.643 511.889   7\r\n  -5  -3  -3 941.276 391.338   4\r\n   5  -3   3 550.744 426.964   7\r\n  -5  -3  -3 1792.07 746.205   5\r\n   5  -3   3 668.947 610.028   6\r\n  -5   3   3 1100.32 447.916   6\r\n  -5  -3  -3 861.680 174.849   2\r\n   5  -3   2 13836.3 1590.41   3\r\n  -5  -3  -2 12526.5 1356.87   3\r\n   5   3  -2 11117.6 457.181   1\r\n   5  -3   2 11430.9 895.401   7\r\n  -5  -3  -2 11478.6 1102.39   4\r\n  -5   3   2 10614.9 1120.76   7\r\n  -5   3   2 11620.7 1240.08   6\r\n   5  -3   2 11696.9 1415.23   6\r\n   5   3  -2 11917.8 1287.61   7\r\n  -5  -3  -2 10169.8 1249.64   5\r\n   5  -3   1 10601.4 1199.76   4\r\n  -5   3   1 9872.91 1162.62   6\r\n  -5  -3  -1 8772.76 963.702   4\r\n  -5   3   1 9057.97 793.697   7\r\n  -5  -3  -1 10724.7 1060.85   5\r\n   5   3   0 8541.54 1091.60   4\r\n  -5   3   0 7995.04 426.425   7\r\n   5  -3   0 7587.43 851.793   1\r\n   5   3   0 7686.79 604.120   5\r\n  -5   3   0 7769.29 1069.52   6\r\n   5  -3   0 6749.03 788.223   4\r\n  -5  -3   0 7296.56 886.264   4\r\n  -5  -3   0 8528.70 720.374   5\r\n  -5   3   0 7355.19 822.564   3\r\n  -5   3  -1 10595.4 1230.03   3\r\n   5  -3  -1 8944.90 1003.26   1\r\n  -5   3  -1 8543.13 1186.28   6\r\n   5  -3  -1 9171.94 659.149   4\r\n   5   3   1 9295.35 1044.59   4\r\n  -5  -3   1 9020.90 1145.93   4\r\n   5  -3  -1 9570.62 1144.09   6\r\n  -5   3  -1 8722.13 527.446   7\r\n   5   3   1 9870.87 965.793   5\r\n   5  -3  -2 11924.1 1276.96   1\r\n   5   3   2 11572.1 1112.80   4\r\n  -5  -3   2 12509.5 1543.66   4\r\n   5  -3  -2 11285.7 1185.02   2\r\n  -5   3  -2 10912.1 1422.67   6\r\n  -5   3  -2 7148.11 1341.10   3\r\n  -5  -3   2 11283.3 1380.12   2\r\n   5   3   2 10808.9 1234.09   5\r\n  -5  -3   2 10732.4 539.940   5\r\n   5  -3  -2 12098.0 1323.09   5\r\n  -5   3  -2 10415.7 916.596   7\r\n  -5  -3   3 816.956 388.895   5\r\n   5   3   3 470.299 596.155   5\r\n   5  -3  -3 1477.94 837.639   5\r\n   5  -3  -3 326.060 537.788   2\r\n   5  -3  -3 1078.56 598.779   1\r\n  -5  -3   3 594.916 622.756   2\r\n   5   3   3 676.261 517.641   4\r\n  -5   3  -3 514.573 488.275   7\r\n   5  -3  -4 5911.60 1251.61   5\r\n   5  -3  -4 6106.52 1048.21   2\r\n  -5  -3   4 6357.81 1215.10   2\r\n  -5  -3   4 5316.54 878.122   5\r\n  -5   3  -4 5335.92 1074.86   7\r\n   5   3   4 6198.96 981.907   4\r\n   5  -3  -5 6713.42 1464.32   5\r\n  -5  -3   5 6053.42 1102.39   5\r\n   5   3   5 5598.52 1054.66   4\r\n   5  -3  -5 6404.09 1243.83   2\r\n  -5  -3   5 5331.81 1331.03   2\r\n  -5   3  -5 6024.60 1328.06   7\r\n   5  -3  -6 5621.91 1609.01   5\r\n  -5   3  -6 4199.20 1263.25   7\r\n  -5  -3   6 4963.89 1245.90   2\r\n   5   3   6 3893.88 996.957   4\r\n   5   3   6 3321.91 1325.23   1\r\n   5  -3  -7 1958.03 1317.62   5\r\n  -5  -3   7 496.355 902.088   2\r\n   5   3   7 3555.33 1335.45   1\r\n  -5  -4  -6 185.958 909.043   5\r\n   5   4  -6 489.022 665.205   7\r\n  -5   4   6 1913.94 1136.88   1\r\n   5  -4   6 623.940 1178.89   4\r\n  -5   4   5 526.650 562.571   3\r\n   5   4  -5 1712.20 1081.61   7\r\n   5  -4   5 2319.85 1267.10   4\r\n  -5  -4  -5 3061.91 1234.94   5\r\n  -5   4   5 1691.66 612.412   6\r\n  -5   4   5 3956.88 1098.33   1\r\n   5  -4   4 9517.39 1924.30   4\r\n  -5  -4  -4 10027.2 1237.48   4\r\n  -5   4   4 10662.4 1575.53   1\r\n  -5  -4  -4 9059.33 1748.06   5\r\n   5  -4   4 9934.05 1343.55   7\r\n  -5   4   4 10460.2 1298.67   6\r\n   5   4  -4 10490.1 1703.30   7\r\n   5  -4   3 27690.3 2712.91   3\r\n  -5   4   3 29306.6 2346.28   1\r\n  -5  -4  -3 26535.7 1796.05   4\r\n   5  -4   3 28843.7 1762.44   7\r\n  -5  -4  -3 27202.4 1215.54   6\r\n  -5   4   3 27069.1 2039.45   6\r\n   5   4  -3 26233.5 2267.56   7\r\n  -5   4   3 29081.1 2293.66   7\r\n  -5  -4  -3 21480.4 2202.65   5\r\n   5  -4   2 15412.8 1778.74   3\r\n  -5  -4  -2 15044.4 1380.30   3\r\n  -5  -4  -2 15217.3 1606.43   5\r\n   5  -4   2 15080.1 1202.78   1\r\n   5  -4   2 17357.1 1882.21   6\r\n  -5  -4  -2 16578.2 1271.73   6\r\n  -5   4   2 14460.9 1540.07   6\r\n   5   4  -2 16258.3 733.890   1\r\n   5   4  -2 15412.2 1557.70   7\r\n  -5   4   2 18420.3 1534.19   7\r\n  -5  -4  -2 15626.5 1324.97   4\r\n   5  -4   1 13630.8 1193.87   1\r\n  -5  -4  -1 15274.3 1340.90   4\r\n  -5   4   1 15396.1 1586.24   6\r\n  -5   4   1 13537.8 1053.72   7\r\n   5   4  -1 12358.5 932.540   1\r\n  -5  -4  -1 13886.4 1296.10   5\r\n   5  -4   0 15563.1 1362.33   1\r\n  -5  -4   0 12758.8 996.206   5\r\n  -5   4   0 12974.1 1537.66   6\r\n  -5   4   0 15886.0 1201.49   3\r\n  -5  -4   0 15456.1 1461.09   4\r\n   5  -4  -1 12873.4 1356.56   1\r\n  -5  -4   1 15256.6 1624.08   4\r\n   5   4   1 15288.8 1518.95   4\r\n   5  -4  -1 14651.3 1005.16   4\r\n  -5   4  -1 15950.5 815.671   7\r\n  -5   4  -1 14458.7 1703.06   6\r\n  -5   4  -1 16125.0 1600.28   3\r\n  -5  -4   1 14747.7 789.286   5\r\n   5  -4  -1 16104.3 1589.23   6\r\n   5   4   1 14486.4 1237.96   5\r\n   5  -4  -2 16022.7 1492.41   2\r\n  -5   4  -2 16601.6 1162.12   7\r\n  -5  -4   2 15374.9 743.746   5\r\n  -5  -4   2 12835.7 1918.34   4\r\n   5   4   2 14752.2 1397.22   4\r\n   5  -4  -2 15269.7 1530.80   6\r\n   5  -4  -2 18535.0 1706.02   1\r\n   5   4   2 16655.5 1612.67   5\r\n   5  -4  -2 17476.8 1719.97   5\r\n   5   4   3 25879.8 1755.00   4\r\n  -5  -4   3 26204.9 1309.26   5\r\n   5  -4  -3 27407.8 2097.30   2\r\n  -5  -4   3 23918.7 2350.64   2\r\n  -5   4  -3 25634.0 1841.40   7\r\n   5  -4  -3 24080.1 2251.86   5\r\n   5  -4  -4 12867.1 1891.34   5\r\n  -5  -4   4 10532.7 1788.27   2\r\n   5  -4  -4 10692.4 1435.52   2\r\n   5   4   4 13172.8 1325.99   4\r\n  -5   4  -4 10179.4 1452.08   7\r\n  -5  -4   4 8910.64 1011.36   5\r\n   5  -4  -5 2982.59 1159.08   5\r\n   5   4   5 2700.48 772.557   4\r\n   5  -4  -5 3540.65 1011.82   2\r\n  -5  -4   5 1691.54 1009.78   2\r\n  -5   4  -5 2305.76 861.341   7\r\n   5   4   5 2355.49 1191.63   1\r\n   5  -4  -6 1962.57 1210.60   5\r\n  -5  -4   6 1339.47 1005.80   2\r\n  -5   4  -6 1204.68 999.886   7\r\n   5   4   6 1688.78 1024.35   1\r\n  -5  -5  -6 714.661 715.343   5\r\n   5  -5   6 2797.45 1373.66   4\r\n  -5   5   6 508.553 1297.38   1\r\n   5   5  -6 1518.14 1182.50   7\r\n  -5  -5  -5 1598.76 917.943   5\r\n  -5   5   5 1987.62 1115.74   1\r\n   5   5  -5 577.687 1051.59   7\r\n  -5   5   5 1899.26 527.577   6\r\n  -5  -5  -4 631.702 602.887   4\r\n   5  -5   4 1777.78 840.101   7\r\n  -5   5   4 1686.30 956.752   1\r\n   5  -5   4 1353.74 482.316   1\r\n  -5  -5  -4 1046.03 906.077   5\r\n  -5   5   4 1339.51 797.852   3\r\n  -5   5   4 826.522 547.857   6\r\n   5   5  -4 1070.83 729.919   7\r\n  -5  -5  -4 1499.47 399.728   2\r\n  -5  -5  -3 1549.36 883.921   5\r\n  -5   5   3 1519.08 733.876   7\r\n   5  -5   3 2434.00 895.494   3\r\n  -5   5   3-1115.29 656.636   3\r\n   5  -5   3 1943.37 543.970   1\r\n  -5  -5  -3 2168.45 575.459   6\r\n  -5   5   3 1358.72 1000.28   1\r\n  -5   5   3 1607.57 711.162   6\r\n   5   5  -3 615.244 696.779   7\r\n  -5  -5  -3 1720.67 592.499   4\r\n   5  -5   2 17864.6 1932.49   3\r\n  -5  -5  -2 19116.2 1504.24   3\r\n  -5  -5  -2 18872.6 1663.36   6\r\n  -5  -5  -2 16005.3 1817.81   5\r\n   5   5  -2 18540.0 990.156   1\r\n   5  -5   2 16247.6 1390.09   1\r\n  -5  -5  -2 19130.2 1589.96   4\r\n  -5   5   2 16152.0 1817.56   1\r\n   5   5  -2 16833.5 1747.83   7\r\n  -5   5   2 18997.8 1689.29   7\r\n  -5   5   2 18040.0 1891.09   6\r\n  -5   5   1 68066.3 1608.66   3\r\n   5  -5   1 69907.5 2915.37   1\r\n  -5   5   1 73483.9 3228.64   1\r\n  -5  -5  -1 73195.2 3451.68   6\r\n  -5   5   1 70953.2 3627.02   6\r\n  -5   5   1 69312.5 2545.64   7\r\n  -5  -5  -1 69130.7 3082.07   4\r\n  -5  -5  -1 72754.3 3148.54   5\r\n   5   5  -1 69533.3 2459.64   1\r\n   5  -5   0 11709.7 1363.46   1\r\n  -5  -5   0 14800.9 1587.73   4\r\n   5  -5   0 13953.6 1714.66   6\r\n  -5   5   0 8880.12 1487.58   6\r\n   5   5   0 10611.6 1203.83   1\r\n  -5  -5   0 11346.4 1110.58   5\r\n   5  -5  -1 71759.8 2556.52   4\r\n   5  -5  -1 73702.9 3668.77   6\r\n  -5  -5   1 75206.1 3827.99   4\r\n  -5   5  -1 70391.3 1922.67   7\r\n  -5   5  -1 75009.2 4007.12   6\r\n   5   5   1 72142.5 3216.25   1\r\n  -5  -5   1 67392.2 2076.46   5\r\n   5  -5  -1 70633.0 3317.19   1\r\n   5   5   2 18720.1 1737.19   5\r\n   5  -5  -2 16465.1 691.278   4\r\n   5  -5  -2 16352.8 688.353   4\r\n   5   5   2 17586.8 1720.58   4\r\n   5  -5  -2 17632.2 1835.88   6\r\n   5   5   2 19903.4 1948.27   1\r\n   5  -5  -2 15787.8 1699.48   2\r\n   5  -5  -2 18914.5 1965.53   5\r\n  -5   5  -2 17570.3 1260.78   7\r\n  -5  -5   2 18177.2 917.097   5\r\n   5  -5  -3 1691.17 888.494   5\r\n  -5   5  -3 1682.00 640.448   7\r\n  -5  -5   3 2014.71 429.083   5\r\n   5  -5  -3 1003.29 711.286   2\r\n   5   5   3 679.719 667.116   1\r\n   5   5   3 1756.07 718.105   4\r\n  -5  -5   4 2040.89 516.521   5\r\n   5  -5  -4 2316.99 1091.84   5\r\n   5   5   4 1223.50 950.757   1\r\n  -5  -5   4 1740.38 855.971   2\r\n  -5   5  -4 694.351 586.883   7\r\n   5   5   4 1866.03 668.647   4\r\n   5  -5  -4 136.139 891.152   2\r\n   5  -5  -5 1795.94 996.348   5\r\n  -5  -5   5 112.377 685.944   2\r\n   5   5   5-523.374 785.039   1\r\n  -5   5  -5 536.565 439.323   7\r\n   5   5   5 719.899 599.975   4\r\n   5  -5  -6 1466.11 1194.91   5\r\n  -5   5  -6-807.211 865.413   7\r\n  -5  -5   6 3496.08 1075.08   2\r\n   5   5   6 1008.65 1334.97   1\r\n   5  -6   5 1821.51 1252.85   4\r\n   5   6  -5 351.503 1037.53   7\r\n  -5  -6  -5 399.881 1119.52   5\r\n  -5   6   5 1814.53 980.995   1\r\n  -5  -6  -4 6088.44 1471.18   5\r\n   5   6  -4 5169.76 1375.52   7\r\n  -5   6   4 5921.05 1385.97   1\r\n  -5   6   4 4760.92 966.250   6\r\n  -5   6   3 2275.99 396.580   3\r\n  -5   6   3 2455.18 1049.46   1\r\n   5   6  -3 2104.75 927.688   7\r\n   5  -6   3 3310.49 591.789   1\r\n  -5  -6  -3 3715.09 831.582   4\r\n  -5   6   3 4179.71 1050.50   6\r\n  -5  -6  -3 2436.17 767.540   6\r\n  -5  -6  -3 4266.77 1116.24   5\r\n  -5   6   2 8907.84 1414.02   1\r\n   5  -6   2 7956.01 1080.84   1\r\n  -5  -6  -2 9090.68 1205.35   4\r\n   5   6  -2 9128.14 852.857   1\r\n  -5   6   2 7312.02 1188.70   7\r\n   5   6  -2 7375.19 1290.60   7\r\n  -5  -6  -2 8718.04 1270.19   6\r\n  -5  -6  -2 7663.70 1400.47   5\r\n  -5   6   2 7098.80 1362.02   6\r\n  -5  -6  -1 671.159 250.102   3\r\n  -5  -6  -1-47.4235 604.878   5\r\n  -5   6   1 523.250 633.770   6\r\n   5   6  -1 193.549 488.409   1\r\n  -5   6   1 615.703 727.284   1\r\n   5  -6   1 138.539 431.697   1\r\n  -5  -6  -1-794.031 620.926   6\r\n  -5  -6  -1 725.337 582.117   4\r\n  -5   6   1 423.240 425.743   7\r\n  -5   6   0 9550.70 1627.26   6\r\n  -5  -6   0 6769.39 1299.84   4\r\n   5   6   0 6196.17 1085.64   1\r\n  -5  -6   0 7802.82 1006.64   5\r\n  -5  -6   1 130.460 251.421   5\r\n   5  -6  -1 1271.74 833.958   5\r\n   5  -6  -1 667.868 518.533   4\r\n  -5   6  -1 312.464 248.542   7\r\n   5   6   1 1215.39 705.940   1\r\n   5  -6  -2 7804.53 1438.79   5\r\n   5  -6  -2 8006.39 666.716   4\r\n  -5   6  -2 7876.81 999.929   7\r\n   5   6   2 7726.93 1474.79   1\r\n   5  -6  -2 8677.05 688.038   4\r\n  -5  -6   2 8138.70 762.426   5\r\n   5  -6  -3 2830.04 1035.86   5\r\n  -5  -6   3 3648.85 577.182   5\r\n  -5   6  -3 3521.37 711.047   7\r\n   5   6   3 2736.39 1081.89   1\r\n   5  -6  -4 4195.47 1427.76   5\r\n  -5   6  -4 3582.89 1015.01   7\r\n  -5  -6   4 4041.68 1344.47   2\r\n   5   6   4 2904.59 1331.68   1\r\n   5   6   4 3881.81 1019.17   4\r\n  -5  -6   5 591.180 821.673   2\r\n  -5   6  -5 1245.97 715.041   7\r\n   5  -6  -5 911.104 1164.59   5\r\n   5   6   5 1708.87 1057.09   1\r\n  -5  -7  -5 1981.84 1345.91   5\r\n   5   7  -5 5272.43 1304.39   7\r\n   5  -7   5 2386.11 1471.11   4\r\n  -5   7   5 1021.11 1116.23   1\r\n  -5   7   4 364.712 822.281   1\r\n  -5  -7  -4 1958.68 1133.02   5\r\n   5   7  -4 1092.72 928.178   7\r\n  -5  -7  -3 1883.26 1005.45   5\r\n   5   7  -3 866.995 711.129   7\r\n  -5   7   3 2333.90 1139.71   1\r\n  -5  -7  -2-278.163 528.865   5\r\n  -5   7   2-1085.17 719.204   1\r\n   5  -7   2 102.115 266.241   1\r\n   5   7  -2 75.4463 389.180   1\r\n   5   7  -2 591.045 692.225   7\r\n  -5   7   2 2262.24 679.593   7\r\n  -5  -7  -2-386.511 763.664   6\r\n  -5  -7  -2 1341.82 477.742   4\r\n  -5  -7  -1 1613.72 796.493   5\r\n  -5   7   1 2086.63 879.306   1\r\n  -5   7   1 2191.22 615.117   7\r\n   5   7  -1 1832.15 696.358   1\r\n  -5  -7   0 3583.24 820.777   5\r\n   5   7   0 3537.30 919.660   1\r\n  -5  -7   1 2073.44 623.016   5\r\n   5   7   1 1417.02 773.349   1\r\n  -5   7  -1 2013.94 522.220   7\r\n   5  -7  -1 2335.23 916.180   5\r\n   5  -7  -1 1997.72 715.492   4\r\n   5  -7  -1 1431.40 743.828   4\r\n  -5  -7   2-329.027 342.946   5\r\n   5  -7  -2 1195.71 809.494   5\r\n  -5   7  -2 804.155 422.446   7\r\n   5  -7  -2 1007.55 293.610   4\r\n   5   7   2 316.680 770.648   1\r\n   5  -7  -3 2338.93 982.743   5\r\n  -5   7  -3 2215.23 749.481   7\r\n   5   7   3 2887.48 1315.98   1\r\n   5  -7  -4-106.324 1298.53   5\r\n  -5  -7   4 880.775 842.201   2\r\n   5   7   4 526.943 913.092   1\r\n  -5  -7   5 650.058 1120.22   2\r\n   5  -7  -5 763.588 1222.75   5\r\n   5   7   5-936.439 1322.06   1\r\n  -5  -8  -4 4519.21 1680.86   5\r\n  -5   8   4 2705.47 1395.22   1\r\n   5   8  -4 2407.21 1193.47   7\r\n  -5  -8  -3 1088.11 1064.12   5\r\n  -5   8   3 445.127 948.166   1\r\n   5   8  -3 798.903 999.635   7\r\n  -5  -8  -2 288.708 864.994   5\r\n  -5   8   2 2322.56 1057.74   1\r\n   5   8  -2 1375.02 907.356   7\r\n  -5  -8  -1 2850.66 916.001   5\r\n   5   8  -1 2081.86 725.568   1\r\n   5  -8   0 1148.36 757.403   5\r\n  -5  -8   0 379.292 405.414   5\r\n  -5   8   0 221.080 499.503   7\r\n   5   8   0 171.390 624.095   1\r\n  -5  -8   1 3327.83 826.708   5\r\n   5  -8  -1 3758.41 1274.88   5\r\n   5   8   1 3182.69 1161.39   1\r\n   5  -8  -1 4270.50 1037.19   4\r\n   5   8   2-218.277 927.136   1\r\n   5  -8  -2 200.417 1048.88   5\r\n   5  -8  -3 1729.23 853.923   5\r\n   5   8   3 195.770 747.046   1\r\n   5  -8  -4 2308.77 1464.38   5\r\n   5   8   4 3879.42 1504.45   1\r\n  -5  -8   4 4297.78 1510.68   2\r\n  -5  -9  -2-145.430 1146.88   5\r\n   5   9  -2-313.021 730.103   7\r\n  -5   9   2 1496.36 638.837   1\r\n  -5  -9  -1 1316.98 860.536   5\r\n   5   9  -1-250.912 1108.26   7\r\n   5   9   0 2003.63 1032.40   1\r\n   5  -9   0 1709.49 984.830   5\r\n   5  -9   0 1467.61 981.539   4\r\n   5  -9  -1-4.44901 608.440   5\r\n   5   9   1 147.244 657.593   1\r\n   5   9   2-427.828 761.169   1\r\n   5  -9  -2 321.451 583.531   5\r\n  -6   0   0 5371.61 636.016   2\r\n  -6   0   0 3840.96 525.545   4\r\n  -6   0   1 117199. 3086.18   2\r\n  -6   0   1 108564. 2557.15   7\r\n  -6   0  -1 117673. 3057.13   4\r\n  -6   0   1 120917. 2708.70   4\r\n   6   0  -1 118790. 2747.91   4\r\n  -6   0  -1 117910. 2245.22   2\r\n  -6   0  -1 112709. 2712.41   6\r\n   6   0   1 111694. 2300.75   2\r\n   6   0  -1 123343. 2699.57   7\r\n  -6   0   2-237.205 345.311   2\r\n   6   0  -2-54.0189 314.080   5\r\n   6   0  -2 116.797 223.122   1\r\n   6   0  -2-573.886 456.233   7\r\n  -6   0  -2 245.530 170.930   4\r\n  -6   0  -2 37.6145 228.727   6\r\n   6   0   2 119.258 157.894   2\r\n  -6   0   2-112.006 302.507   4\r\n   6   0   3 6328.36 1225.16   3\r\n   6   0  -3 3616.56 728.935   5\r\n  -6   0   3 3998.04 894.817   2\r\n  -6   0   3 4919.95 748.721   5\r\n   6   0  -3 4144.03 646.044   1\r\n  -6   0   3 5326.65 807.529   4\r\n   6   0  -3 4832.04 1017.31   7\r\n   6   0   3 4703.16 957.939   4\r\n   6   0  -3 3579.25 804.967   2\r\n   6   0   3 4429.64 607.550   6\r\n  -6   0  -3 5038.67 651.039   6\r\n   6   0   3 4776.98 838.254   7\r\n  -6   0   4 7744.55 1213.63   2\r\n   6   0   4 9961.60 1782.37   3\r\n   6   0  -4 8356.47 1488.14   7\r\n   6   0   4 8268.29 676.392   2\r\n   6   0   4 7808.70 1235.33   7\r\n   6   0   4 8643.58 1320.12   4\r\n  -6   0   4 9288.20 1240.74   4\r\n   6   0  -4 10227.2 1360.48   2\r\n   6   0  -4 9650.94 1324.09   5\r\n   6   0   4 9038.20 860.107   6\r\n  -6   0   4 9439.72 967.215   1\r\n  -6   0   4 8338.31 1164.63   5\r\n  -6   0   5 52891.1 3380.98   4\r\n   6   0   5 52362.8 1622.05   2\r\n   6   0   5 55559.4 3523.73   4\r\n  -6   0   5 49550.0 3163.39   2\r\n   6   0  -5 50341.4 3832.15   7\r\n  -6   0   5 52907.0 2484.48   1\r\n   6   0   5 54291.4 2058.25   6\r\n   6   0  -5 53541.5 3429.33   5\r\n   6   0  -6 3381.60 1096.49   5\r\n  -6   0   6 2745.67 841.819   2\r\n   6   0  -6 2320.84 1273.82   7\r\n  -6   0   6 4173.13 874.093   1\r\n   6   0   6 2246.54 945.141   4\r\n   6   0  -7 2863.60 1373.80   5\r\n  -6   0   7 1528.65 1065.38   4\r\n   6   0  -7 2779.70 1332.65   7\r\n   6   0   7 2568.26 1196.73   4\r\n  -6   0   7 2004.06 836.871   2\r\n  -6   1   7-1412.06 871.661   1\r\n   6  -1   7 878.685 1092.44   4\r\n   6   1  -7-570.715 1292.58   7\r\n  -6   1   7 230.918 305.802   2\r\n   6   1  -7-430.231 869.101   5\r\n  -6   1   6 466.940 710.863   1\r\n  -6   1   6 1577.73 757.697   4\r\n   6   1  -6 404.991 770.677   5\r\n   6  -1   6 1082.49 485.014   2\r\n  -6  -1  -6 1104.12 968.132   5\r\n   6   1  -6 1141.93 996.812   7\r\n   6  -1   6 487.207 890.633   4\r\n  -6   1   6 456.546 540.208   2\r\n   6  -1   5 3267.90 664.158   2\r\n  -6  -1  -5 3923.44 1171.89   5\r\n  -6   1   5 3634.73 925.310   1\r\n   6   1  -5 3545.91 1008.05   5\r\n   6  -1   5 5937.73 1450.59   4\r\n   6  -1   5 4973.25 881.459   6\r\n  -6   1   5 2978.21 792.630   4\r\n   6   1  -5 5461.17 1443.66   7\r\n  -6   1   5 4369.25 1071.58   2\r\n   6  -1   4 9576.73 1512.22   4\r\n  -6   1   4 9288.78 1136.02   1\r\n  -6   1   4 11063.1 1364.23   5\r\n   6  -1   4 9936.23 1354.60   7\r\n  -6   1   4 8558.35 1257.35   2\r\n  -6   1   4 8564.40 1016.65   4\r\n  -6  -1  -4 10567.5 1632.36   5\r\n   6  -1   4 9144.78 1103.37   6\r\n   6   1  -4 9321.95 1235.30   5\r\n   6   1  -4 9791.71 1672.67   7\r\n   6  -1   3 27673.9 2500.85   3\r\n  -6  -1  -3 21647.3 2327.36   3\r\n   6  -1   3 27542.2 1887.07   7\r\n   6   1  -3 29657.9 2154.79   2\r\n   6  -1   3 24608.9 1607.09   6\r\n  -6  -1  -3 26807.6 1930.09   4\r\n   6  -1   3 26712.7 2098.04   4\r\n  -6   1   3 25034.4 1362.83   4\r\n   6   1  -3 24300.3 1973.69   7\r\n  -6   1   3 27959.0 1991.69   7\r\n  -6   1   3 25285.3 1822.38   2\r\n  -6   1   3 26355.9 1577.89   1\r\n  -6  -1  -3 22960.3 1935.43   5\r\n   6   1  -3 22732.2 1470.43   5\r\n   6   1  -3 26345.2 1190.41   1\r\n  -6  -1  -2 13265.7 1574.46   3\r\n   6  -1   2 15835.3 1158.02   7\r\n  -6  -1  -2 15643.6 1307.62   4\r\n  -6   1   2 13759.2 1237.42   2\r\n  -6   1   2 15420.8 909.372   4\r\n   6   1  -2 14479.8 1300.28   7\r\n  -6  -1  -2 14174.4 822.559   6\r\n   6  -1   2 14561.6 1195.47   6\r\n   6   1  -2 14075.9 794.190   1\r\n  -6  -1  -2 15203.4 1378.11   5\r\n   6   1  -2 15602.1 921.834   5\r\n  -6   1   2 15839.0 1218.65   7\r\n   6  -1   2 16478.6 1660.58   3\r\n  -6  -1  -1 116342. 3038.87   4\r\n  -6   1   1 108569. 2268.31   4\r\n  -6   1   1 106210. 2279.07   7\r\n   6   1  -1 104603. 2838.73   7\r\n  -6  -1  -1 116370. 2263.40   2\r\n   6  -1   1 108279. 3009.51   6\r\n  -6   1   1 108789. 2926.93   2\r\n  -6   1   0 188540. 3431.28   4\r\n   6  -1   0 193163. 3396.27   4\r\n  -6  -1   0 197247. 3764.02   4\r\n  -6   1   0 199517. 3572.43   2\r\n   6   1   0 184074. 3619.07   2\r\n  -6   1   0 187716. 3998.95   6\r\n  -6  -1   0 187821. 3581.34   2\r\n  -6   1  -1 108375. 3114.98   4\r\n   6  -1  -1 115829. 2368.00   4\r\n  -6   1  -1 110600. 3023.94   6\r\n   6  -1  -1 110993. 2653.55   1\r\n   6  -1  -1 106113. 2507.74   7\r\n  -6  -1   1 118139. 3311.17   2\r\n   6   1   1 112801. 2316.80   2\r\n  -6  -1   1 115380. 3004.57   4\r\n   6   1   1 114683. 2923.17   5\r\n   6  -1  -2 14214.2 1108.83   1\r\n  -6   1  -2 16354.6 1496.32   4\r\n   6   1   2 16078.2 1293.31   4\r\n  -6  -1   2 15782.9 1311.08   4\r\n  -6   1  -2 14895.6 1204.86   6\r\n   6  -1  -2 13684.7 1248.46   7\r\n  -6  -1   2 14354.6 1374.66   2\r\n   6   1   2 14409.8 581.208   2\r\n   6  -1  -2 14340.7 1290.60   2\r\n   6  -1  -2 14402.4 1170.50   5\r\n   6  -1  -3 27193.9 2100.01   7\r\n   6  -1  -3 26153.7 1666.78   1\r\n  -6  -1   3 25198.5 1964.89   2\r\n   6   1   3 27542.1 1870.82   4\r\n   6   1   3 24049.4 2228.55   3\r\n   6   1   3 24551.6 1853.51   7\r\n  -6  -1   3 25428.5 1977.92   4\r\n  -6   1  -3 24026.4 1604.29   6\r\n   6  -1  -3 25847.0 1848.26   5\r\n   6  -1  -3 27697.6 1945.72   2\r\n  -6  -1   3 28457.5 1510.34   5\r\n   6   1   4 10506.9 1632.47   3\r\n  -6  -1   4 8541.25 1372.46   2\r\n   6   1   4 10359.1 1368.45   4\r\n   6  -1  -4 10686.3 1598.61   7\r\n   6  -1  -4 9834.11 1385.08   5\r\n   6  -1  -4 10658.9 1395.08   2\r\n  -6  -1   4 8984.60 1533.80   4\r\n  -6  -1   4 10542.2 1211.91   5\r\n   6  -1  -5 3564.43 1119.44   5\r\n  -6  -1   5 3845.16 1067.35   5\r\n  -6  -1   5 2999.54 1018.01   2\r\n   6  -1  -5 3694.00 1188.07   7\r\n   6  -1  -5 2246.77 827.561   2\r\n   6   1   5 4116.43 1169.60   4\r\n   6  -1  -6 1321.27 1020.64   5\r\n  -6  -1   6 438.855 691.020   2\r\n   6   1   6 1267.60 885.722   4\r\n   6  -1  -6 1771.89 825.476   7\r\n   6  -1  -7-123.100 673.946   5\r\n  -6  -1   7-631.832 648.018   2\r\n   6  -1  -7-2699.04 1172.31   7\r\n   6   1   7-105.855 908.608   4\r\n  -6   2   7 1923.67 887.621   1\r\n   6   2  -7 2024.22 1048.81   7\r\n   6  -2   7 276.492 1194.92   4\r\n  -6  -2  -7 1359.69 1297.14   5\r\n   6  -2   6 4868.72 1576.35   4\r\n  -6   2   6 6134.05 1293.88   1\r\n   6   2  -6 6540.80 1781.95   7\r\n  -6   2   6 4798.81 1000.83   6\r\n   6  -2   6 5673.63 1001.95   2\r\n  -6   2   6 5358.93 1098.24   2\r\n  -6  -2  -6 7466.27 1874.03   5\r\n   6   2  -5 220.286 924.496   7\r\n  -6  -2  -5 1137.37 1054.20   5\r\n  -6   2   5 1580.24 692.891   2\r\n   6  -2   5 2512.41 1215.69   4\r\n  -6   2   5 2127.31 568.238   4\r\n  -6   2   5 1458.38 415.145   4\r\n   6  -2   5 1488.03 885.105   6\r\n  -6   2   5 1644.04 852.717   1\r\n   6   2  -5 1252.17 712.451   5\r\n  -6  -2  -4-110.906 665.255   5\r\n   6  -2   4 78.7786 516.035   7\r\n   6   2  -4-711.914 436.190   5\r\n   6   2  -4 575.625 739.925   7\r\n  -6   2   4-196.045 716.161   1\r\n   6  -2   4-1219.10 704.484   6\r\n  -6  -2  -4 373.525 394.731   4\r\n  -6   2   4 413.125 626.846   2\r\n  -6   2   4 556.553 234.166   4\r\n   6  -2   4-3.17263 777.239   4\r\n   6  -2   3 4150.99 970.653   3\r\n   6  -2   3 4557.70 865.098   7\r\n  -6  -2  -3 3351.18 665.061   4\r\n  -6  -2  -3 5549.26 1294.93   3\r\n  -6   2   3 3865.24 843.317   1\r\n   6  -2   3 5550.43 1057.25   5\r\n  -6   2   3 4209.09 409.591   4\r\n  -6   2   3 4265.80 878.619   7\r\n   6   2  -3 5596.12 1029.06   7\r\n  -6  -2  -3 2813.21 841.983   5\r\n   6  -2   3 4466.10 952.211   6\r\n  -6   2   3 3805.72 789.274   2\r\n  -6   2   3 3408.40 773.243   6\r\n   6   2  -3 3762.15 602.143   5\r\n   6  -2   2 35635.7 2451.17   3\r\n  -6  -2  -2 31134.3 2199.85   3\r\n  -6   2   2 31360.9 1818.45   2\r\n  -6  -2  -2 33182.1 1869.50   4\r\n  -6   2   2 31829.3 985.345   4\r\n   6  -2   2 32437.5 1529.46   7\r\n  -6   2   2 29579.4 1744.87   1\r\n   6   2  -2 35992.4 2074.53   7\r\n   6  -2   2 35028.2 2111.16   6\r\n  -6   2   2 31104.6 1928.96   6\r\n  -6  -2  -2 33697.1 1034.09   2\r\n  -6  -2  -2 31742.1 1997.47   5\r\n  -6   2   2 32502.6 1775.42   7\r\n  -6  -2  -1 62444.5 2324.62   4\r\n  -6  -2  -1 63550.9 1990.06   2\r\n  -6   2   1 66054.1 2664.20   6\r\n  -6   2   1 65160.8 1769.23   4\r\n   6  -2   1 66158.1 1297.48   7\r\n  -6   2   1 63141.8 1760.71   7\r\n  -6  -2  -1 64828.8 2292.52   5\r\n  -6  -2   0 150886. 3589.39   2\r\n  -6   2   0 151486. 3373.90   4\r\n   6  -2   0 151459. 3253.41   4\r\n  -6  -2   0 156449. 3676.65   4\r\n  -6   2   0 160126. 4099.64   6\r\n   6   2   0 159786. 2537.96   5\r\n  -6  -2   0 160895. 2478.46   5\r\n  -6   2  -1 64363.6 2839.31   3\r\n  -6  -2   1 65880.9 2630.36   4\r\n  -6  -2   1 63815.5 2685.44   2\r\n   6  -2  -1 58924.2 2253.31   1\r\n   6  -2  -1 61015.4 1617.06   4\r\n   6   2   1 58738.0 2296.35   4\r\n  -6   2  -1 52842.8 2440.22   6\r\n   6  -2  -1 59519.4 1855.47   7\r\n   6   2   1 63584.6 2290.03   5\r\n  -6   2  -2 35118.1 2613.38   3\r\n   6  -2  -2 35645.0 1967.90   1\r\n   6  -2  -2 29146.3 1780.20   7\r\n   6  -2  -2 29766.8 1887.31   2\r\n   6   2   2 31751.2 1784.12   4\r\n  -6   2  -2 32614.4 2033.19   6\r\n  -6  -2   2 35433.8 2250.65   2\r\n  -6  -2   2 33018.6 2200.89   4\r\n   6   2   2 34799.7 2149.75   5\r\n   6  -2  -2 34064.8 1948.92   5\r\n   6   2   3 4877.06 1021.17   5\r\n   6  -2  -3 4387.94 868.351   2\r\n   6  -2  -3 2606.37 846.562   5\r\n  -6  -2   3 1886.13 885.823   4\r\n  -6  -2   3 4079.31 980.708   2\r\n   6  -2  -3 3962.67 865.558   7\r\n   6   2   3 3093.01 727.314   4\r\n   6  -2  -3 4729.93 820.880   1\r\n  -6   2  -3 3571.41 1221.56   3\r\n  -6  -2   3 4827.80 634.715   5\r\n   6   2   4-661.084 640.484   3\r\n   6  -2  -4-306.369 815.796   7\r\n   6  -2  -4 165.325 667.576   5\r\n  -6  -2   4 368.794 485.116   5\r\n   6  -2  -4 428.156 515.788   2\r\n  -6  -2   4-61.1772 577.519   2\r\n   6   2   4 261.378 579.466   4\r\n   6  -2  -5 1093.62 901.463   5\r\n  -6  -2   5 1058.82 744.583   5\r\n  -6  -2   5 1260.39 769.125   2\r\n   6  -2  -5 2216.19 1074.38   7\r\n   6  -2  -5 2791.43 864.695   2\r\n   6   2   5 1693.20 860.384   4\r\n   6  -2  -6 3446.89 1271.51   5\r\n   6  -2  -6 3555.26 1596.96   7\r\n  -6  -2   6 5561.46 1291.65   2\r\n   6   2   6 4311.94 1166.97   4\r\n   6  -2  -7-793.829 983.227   5\r\n  -6  -2   7 721.499 684.652   2\r\n   6   2   7 1927.90 1112.49   4\r\n   6   2   7 782.154 1147.75   1\r\n  -6   3   7 592.229 997.317   1\r\n   6  -3   7 576.846 1298.79   4\r\n   6   3  -7 427.332 932.940   7\r\n  -6  -3  -7-3132.16 1666.62   5\r\n   6   3  -6 1410.37 946.095   7\r\n  -6   3   6-2166.47 1190.88   1\r\n   6  -3   6 906.316 1175.17   4\r\n  -6  -3  -6-1813.52 1099.33   5\r\n   6  -3   6 694.876 494.072   2\r\n  -6  -3  -5 3102.87 1209.08   5\r\n  -6   3   5 3571.84 933.900   6\r\n  -6   3   5 3920.21 1179.87   1\r\n   6  -3   5 4300.02 1403.14   4\r\n   6   3  -5 4469.02 1256.10   7\r\n  -6  -3  -4-1103.96 812.534   5\r\n   6  -3   4-82.4357 974.651   4\r\n  -6   3   4 12.9295 568.049   6\r\n  -6  -3  -4 150.879 176.514   4\r\n   6  -3   4 534.812 628.420   7\r\n   6  -3   4-52.4258 629.974   6\r\n   6   3  -4 241.137 747.716   7\r\n  -6   3   4-12.8068 587.025   1\r\n   6  -3   3 26892.4 2595.14   3\r\n  -6  -3  -3 24548.2 2363.15   3\r\n   6   3  -3 25140.1 2159.69   7\r\n   6  -3   3 28338.7 2469.52   4\r\n  -6  -3  -3 25448.6 1841.34   4\r\n  -6   3   3 25091.2 1967.05   1\r\n  -6   3   3 25618.9 2046.19   7\r\n   6  -3   3 25230.1 1677.70   7\r\n  -6   3   3 23399.1 1858.20   6\r\n   6  -3   3 28305.8 2306.78   6\r\n  -6  -3  -3 27934.3 2307.67   5\r\n   6   3  -2 21451.6 1704.00   7\r\n   6  -3   2 20296.6 1911.35   3\r\n  -6  -3  -2 20087.4 1741.61   3\r\n  -6   3   2 18351.4 1405.73   7\r\n  -6   3   2 18332.2 1609.76   6\r\n  -6  -3  -2 20250.4 1152.35   2\r\n  -6  -3  -2 20851.9 1535.50   4\r\n   6  -3   2 24065.5 2018.49   6\r\n  -6  -3  -2 19599.1 1737.86   5\r\n   6  -3   2 20849.5 1117.82   7\r\n   6  -3   1 17768.1 1550.14   4\r\n  -6   3   1 16877.8 1533.06   6\r\n  -6  -3  -1 17120.8 1348.30   4\r\n  -6   3   1 16993.2 998.922   7\r\n  -6  -3  -1 16401.3 1291.03   5\r\n   6  -3   0 2393.07 506.407   1\r\n  -6  -3   0 2874.51 458.037   5\r\n   6  -3   0 2801.26 576.490   4\r\n  -6   3   0 2381.44 706.686   6\r\n  -6  -3   0 2281.65 620.626   4\r\n  -6  -3   0 2742.77 684.964   2\r\n   6   3   0 2286.03 760.733   4\r\n   6   3   0 3316.20 422.712   5\r\n  -6   3  -1 17703.0 1609.63   3\r\n  -6   3  -1 14739.8 1534.26   6\r\n   6  -3  -1 17350.5 1416.63   1\r\n   6  -3  -1 16806.6 941.080   4\r\n   6  -3  -1 14182.6 1446.80   6\r\n  -6  -3   1 15093.9 1480.32   4\r\n  -6  -3   1 15693.1 1553.62   2\r\n   6   3   1 16696.4 1397.85   4\r\n   6   3   1 16508.4 1235.38   5\r\n   6  -3  -2 19500.3 1636.19   1\r\n  -6   3  -2 20471.4 2109.81   3\r\n   6  -3  -2 20472.5 1643.79   2\r\n  -6  -3   2 21698.7 1917.65   2\r\n  -6   3  -2 17225.5 1727.81   6\r\n  -6   3  -2 18561.1 1153.59   7\r\n  -6  -3   2 20652.3 1890.10   4\r\n   6   3   2 19907.4 1706.54   5\r\n   6   3   2 20752.6 1496.08   4\r\n   6  -3  -2 19646.7 1666.13   5\r\n   6   3   3 23093.9 1689.29   4\r\n  -6   3  -3 24451.7 1722.23   7\r\n   6  -3  -3 23572.8 2072.13   5\r\n  -6  -3   3 25818.8 2352.36   2\r\n  -6  -3   3 26526.9 2428.83   4\r\n   6  -3  -3 23534.7 1879.53   2\r\n   6  -3  -3 22844.8 1928.44   1\r\n  -6  -3   3 25385.7 1170.09   5\r\n   6   3   3 28685.9 2284.92   5\r\n  -6  -3   4-246.730 649.326   2\r\n   6  -3  -4 358.532 674.442   5\r\n  -6  -3   4 474.851 455.421   5\r\n   6  -3  -4-19.5367 446.280   2\r\n   6   3   4 400.229 539.268   4\r\n  -6   3  -4 304.964 553.339   7\r\n  -6  -3   5 3789.59 886.301   5\r\n   6  -3  -5 2270.93 1058.79   2\r\n  -6  -3   5 3607.24 1338.96   2\r\n   6  -3  -5 4366.57 1297.78   5\r\n   6   3   5 2800.81 884.971   4\r\n  -6   3  -5 5619.87 1428.15   7\r\n   6  -3  -6 1336.22 908.537   5\r\n  -6  -3   6-112.608 787.423   2\r\n   6   3   6-114.982 656.800   4\r\n  -6  -3   7-19.3460 1063.85   2\r\n   6   3   7-66.0954 859.830   1\r\n   6  -4   6 256.263 1268.72   4\r\n  -6   4   6 393.180 1077.93   1\r\n  -6  -4  -6 16.0508 1090.57   5\r\n   6   4  -6 1758.69 1007.16   7\r\n  -6  -4  -5 616.151 790.897   5\r\n  -6   4   5 1375.79 853.460   1\r\n  -6   4   5 2427.42 619.109   6\r\n   6   4  -5 1570.79 912.866   7\r\n   6  -4   5 2759.36 1249.11   4\r\n  -6  -4  -4 1735.97 916.549   5\r\n   6   4  -4 3701.66 1164.40   7\r\n  -6  -4  -4 2694.56 853.914   4\r\n  -6   4   4 1906.20 1041.66   1\r\n   6  -4   4 4514.29 1007.48   7\r\n   6  -4   4 4264.80 1417.22   4\r\n  -6   4   4 2466.53 891.588   6\r\n  -6  -4  -3 629.135 716.680   3\r\n  -6  -4  -3 589.602 591.555   5\r\n   6  -4   3 441.908 555.979   3\r\n  -6   4   3 133.896 464.515   6\r\n   6  -4   3 795.994 479.610   7\r\n   6  -4   3-37.4288 703.692   4\r\n  -6   4   3 876.707 504.820   7\r\n   6   4  -3 558.411 662.214   7\r\n  -6   4   3 521.432 696.030   1\r\n  -6  -4  -3 229.206 220.677   6\r\n  -6  -4  -3 386.858 461.906   4\r\n  -6  -4  -2 4254.74 996.849   5\r\n  -6   4   2 6103.96 894.889   7\r\n  -6  -4  -2 4946.30 980.848   3\r\n   6  -4   2 5479.25 1159.72   4\r\n   6   4  -2 5787.04 1108.61   7\r\n  -6  -4  -2 5382.56 866.074   4\r\n   6  -4   2 4610.24 1115.68   6\r\n  -6   4   2 5766.47 1073.96   6\r\n   6  -4   2 5501.90 774.511   1\r\n   6   4  -2 4930.84 465.872   1\r\n   6  -4   2 4387.47 1006.56   3\r\n   6  -4   1 27649.9 2096.05   4\r\n   6  -4   1 26092.2 1696.69   1\r\n  -6  -4  -1 31096.8 1979.87   4\r\n  -6   4   1 28923.3 1472.53   7\r\n  -6   4   1 27894.6 2142.05   6\r\n  -6  -4  -1 26545.6 1767.36   5\r\n  -6   4   0 6084.46 843.968   3\r\n   6  -4   0 7104.17 1000.37   1\r\n  -6   4   0 6977.78 485.044   7\r\n   6  -4   0 6339.30 909.667   4\r\n  -6   4   0 6291.27 1121.16   6\r\n  -6  -4   0 6127.84 974.746   4\r\n  -6  -4   0 7047.67 757.418   5\r\n   6  -4  -1 27378.3 1939.58   1\r\n  -6   4  -1 28103.1 905.373   7\r\n   6  -4  -1 29231.1 1419.17   4\r\n   6  -4  -1 28670.2 2165.95   6\r\n  -6  -4   1 27570.3 971.902   5\r\n  -6   4  -1 31320.7 2428.19   6\r\n   6   4   1 29280.4 2093.12   4\r\n  -6  -4   1 27819.9 2180.04   4\r\n  -6   4  -1 31705.4 2233.44   3\r\n   6   4   1 30809.7 1754.89   5\r\n   6   4   2 5933.81 983.339   5\r\n   6  -4  -2 4968.64 1040.31   5\r\n   6  -4  -2 6882.70 1144.63   1\r\n  -6   4  -2 6749.06 748.582   7\r\n  -6   4  -2 5280.32 1149.71   6\r\n  -6  -4   2 6278.90 1265.11   2\r\n   6  -4  -2 5696.36 991.539   2\r\n   6   4   2 4714.88 867.533   4\r\n  -6  -4   2 5808.00 1204.70   4\r\n  -6   4  -3 687.631 479.317   7\r\n  -6  -4   3 650.268 267.043   5\r\n   6  -4  -3 93.0072 610.931   5\r\n   6   4   3 843.274 570.765   4\r\n   6  -4  -3 723.326 465.301   2\r\n  -6  -4   3 832.229 739.075   2\r\n   6  -4  -4 2845.67 838.316   2\r\n  -6  -4   4 4010.16 673.455   5\r\n   6  -4  -4 3247.66 1227.11   5\r\n   6   4   4 4363.55 963.124   4\r\n  -6   4  -4 3561.81 911.593   7\r\n  -6  -4   4 3404.93 1130.63   2\r\n   6  -4  -5 537.544 718.483   5\r\n   6   4   5 1528.22 593.729   4\r\n  -6  -4   5 268.885 592.629   2\r\n  -6   4  -5 1221.10 844.255   7\r\n   6  -4  -6 184.710 1088.93   5\r\n  -6   4  -6 1852.80 1181.61   7\r\n   6   4   6-536.329 1320.89   1\r\n  -6  -4   6 1508.89 900.126   2\r\n   6   5  -6 5465.60 1462.09   7\r\n   6  -5   6 2724.15 1848.99   4\r\n  -6   5   6 1731.53 1337.80   1\r\n  -6  -5  -6 4029.66 1394.98   5\r\n   6   5  -5 432.382 414.506   7\r\n  -6   5   5 1220.00 742.095   1\r\n  -6   5   5 1677.38 562.892   6\r\n   6  -5   5 623.864 1152.62   4\r\n   6  -5   4 3275.12 1001.84   7\r\n   6  -5   4 4840.97 752.631   1\r\n  -6  -5  -4 4724.17 568.373   2\r\n  -6   5   4 4916.67 1328.61   1\r\n   6   5  -4 5564.30 1402.53   7\r\n  -6  -5  -4 4713.71 1455.01   5\r\n   6  -5   4 4916.35 1453.00   4\r\n  -6   5   4 4481.61 956.767   6\r\n  -6  -5  -4 4012.49 821.649   4\r\n  -6  -5  -3 1101.27 804.528   5\r\n  -6  -5  -3-1241.24 877.324   3\r\n  -6  -5  -3 1305.51 586.866   4\r\n  -6  -5  -3 1733.82 534.561   6\r\n  -6   5   3 1664.66 764.522   6\r\n   6   5  -3 2257.02 876.021   7\r\n  -6   5   3 1409.56 674.516   7\r\n  -6   5   3 2553.09 974.773   1\r\n   6  -5   3 1427.28 437.602   1\r\n  -6  -5  -2 9329.32 1178.19   3\r\n  -6  -5  -2 8396.48 1349.46   5\r\n   6   5  -2 9811.54 759.047   1\r\n   6  -5   2 9286.84 1127.31   1\r\n  -6  -5  -2 8811.32 1172.38   4\r\n  -6   5   2 9830.88 1406.79   1\r\n   6   5  -2 10631.0 1471.59   7\r\n  -6  -5  -2 9262.59 1222.46   6\r\n  -6   5   2 10749.0 1294.26   7\r\n  -6   5   2 8666.06 1355.98   6\r\n  -6   5   1 8330.91 765.837   3\r\n  -6   5   1 7919.24 1224.21   1\r\n   6  -5   1 8298.26 1143.11   1\r\n  -6  -5  -1 8646.31 1164.00   4\r\n  -6   5   1 7779.33 1401.99   6\r\n  -6  -5  -1 7225.63 1109.75   5\r\n  -6   5   1 6731.98 848.157   7\r\n   6   5  -1 8876.61 989.467   1\r\n   6  -5   0 9651.41 1220.40   1\r\n  -6   5   0 9431.57 1561.00   6\r\n   6  -5   0 10433.6 1314.04   4\r\n  -6   5   0 9782.33 1068.01   3\r\n  -6  -5   0 10571.2 1346.54   4\r\n   6  -5   0 8562.84 1469.59   6\r\n  -6  -5   0 8830.92 1008.69   5\r\n   6  -5  -1 8734.55 1269.40   1\r\n   6  -5  -1 7357.81 900.958   4\r\n   6  -5  -1 8118.88 1321.87   6\r\n  -6   5  -1 7743.56 609.462   7\r\n  -6   5  -1 8505.50 1470.81   6\r\n  -6  -5   1 7424.62 1366.16   4\r\n  -6  -5   1 7294.93 722.626   5\r\n   6  -5  -2 9569.31 1530.38   5\r\n   6  -5  -2 8905.72 504.112   4\r\n  -6   5  -2 9482.81 881.961   7\r\n   6  -5  -2 9636.25 545.652   4\r\n   6   5   2 10692.5 1445.31   4\r\n  -6  -5   2 8637.48 524.990   5\r\n   6  -5  -2 11443.3 1422.02   2\r\n   6  -5  -2 8578.35 1351.77   6\r\n  -6  -5   2 9732.75 551.929   5\r\n   6   5   2 9994.80 1336.20   5\r\n  -6  -5   3 1118.39 258.794   5\r\n   6  -5  -3 2234.15 899.000   5\r\n   6   5   3 1733.49 694.355   4\r\n  -6  -5   3 1665.67 926.019   2\r\n  -6   5  -3 1286.38 654.194   7\r\n   6  -5  -4 5153.52 1464.85   5\r\n   6   5   4 4988.55 953.834   4\r\n  -6   5  -4 4729.74 1023.40   7\r\n  -6  -5   4 4978.10 1410.97   2\r\n   6   5   4 6195.11 1485.32   1\r\n   6  -5  -5-483.702 870.638   5\r\n   6   5   5 45.3204 843.531   1\r\n  -6   5  -5 779.385 575.885   7\r\n  -6  -5   5 490.516 578.236   2\r\n   6   5   5 373.807 483.810   4\r\n   6  -5  -6 2517.10 1556.22   5\r\n  -6  -5   6 1876.47 1261.91   2\r\n  -6   5  -6 2141.88 1235.99   7\r\n   6   5   6 2415.81 1244.22   1\r\n  -6  -6  -5-861.705 959.490   5\r\n   6  -6   5 2201.66 1360.34   4\r\n  -6   6   5 2264.72 1137.07   1\r\n   6   6  -5 244.612 1195.11   7\r\n  -6  -6  -4 1491.72 894.441   5\r\n   6   6  -4-380.005 819.598   7\r\n   6  -6   4 968.880 876.275   4\r\n  -6   6   4 536.878 922.544   1\r\n  -6   6   4 2567.15 840.609   6\r\n  -6  -6  -3 714.489 771.774   5\r\n  -6   6   3 1079.89 738.432   1\r\n  -6  -6  -3 1781.86 603.786   4\r\n   6  -6   3 722.370 420.875   1\r\n   6   6  -3 898.877 709.979   7\r\n  -6  -6  -3 1083.30 551.065   6\r\n  -6   6   3 452.897 495.290   6\r\n  -6   6   3 1871.48 733.230   7\r\n  -6  -6  -2 8819.83 1035.12   3\r\n  -6  -6  -2 8480.00 1431.11   5\r\n   6  -6   2 8141.02 1107.03   1\r\n   6   6  -2 9400.41 863.602   1\r\n  -6  -6  -2 8817.80 1244.62   4\r\n  -6   6   2 8620.28 1512.72   6\r\n  -6   6   2 7473.44 1303.77   1\r\n   6   6  -2 9329.21 1480.13   7\r\n  -6   6   2 8720.65 1263.40   7\r\n  -6  -6  -2 8546.39 1314.69   6\r\n   6   6  -1 1225.87 554.644   1\r\n  -6  -6  -1 689.600 608.331   5\r\n   6  -6   1 438.795 344.346   1\r\n  -6   6   1 979.199 475.276   7\r\n  -6   6   1 629.165 557.079   6\r\n  -6  -6  -1 2108.21 641.081   4\r\n  -6   6   1 417.547 603.740   1\r\n  -6  -6  -1 1053.24 587.600   6\r\n  -6  -6   0 1649.18 564.815   5\r\n   6  -6   0 2530.96 854.211   4\r\n  -6   6   0 3112.10 1041.45   6\r\n   6   6   0 1875.45 692.875   1\r\n  -6  -6   1 1286.85 475.699   5\r\n  -6   6  -1 848.950 330.716   7\r\n   6  -6  -1 1239.17 514.379   4\r\n   6   6   1 1313.74 873.561   1\r\n   6  -6  -2 8897.65 1519.76   5\r\n  -6   6  -2 10101.2 983.867   7\r\n   6  -6  -2 8331.65 647.050   4\r\n   6  -6  -2 9835.07 708.670   4\r\n   6   6   2 9903.72 1650.96   1\r\n  -6  -6   2 8474.36 696.520   5\r\n  -6  -6   3 726.064 227.607   5\r\n   6  -6  -3 1558.62 839.106   5\r\n  -6  -6   3 835.267 215.861   5\r\n  -6   6  -3 886.565 546.352   7\r\n   6   6   3 786.783 785.165   1\r\n   6   6   3 953.208 784.341   4\r\n   6  -6  -4 1860.68 988.529   5\r\n  -6   6  -4 1488.50 572.471   7\r\n  -6  -6   4 1384.35 706.894   2\r\n   6   6   4 1205.07 1116.27   1\r\n   6   6   4 836.433 707.329   4\r\n   6  -6  -5-844.370 1030.51   5\r\n  -6  -6   5 387.897 1039.60   2\r\n  -6   6  -5 346.442 498.533   7\r\n   6   6   5-830.449 1372.29   1\r\n  -6  -7  -5 23.0844 1105.82   5\r\n  -6   7   5 1542.22 1248.68   1\r\n   6  -7   5 4353.30 1732.89   4\r\n   6   7  -5 3557.64 1247.09   7\r\n  -6  -7  -4 1925.96 1157.35   5\r\n  -6   7   4 2633.91 1389.17   1\r\n   6  -7   4 3344.67 1492.66   4\r\n  -6   7   4 2328.60 832.533   6\r\n   6   7  -4 1712.49 1077.34   7\r\n  -6  -7  -3 484.141 525.407   5\r\n   6   7  -3 816.428 707.764   7\r\n  -6   7   3 1196.71 651.926   6\r\n  -6   7   3 710.941 810.687   1\r\n   6   7  -2 1610.44 922.926   7\r\n  -6  -7  -2 1322.05 627.939   5\r\n  -6   7   2 1067.87 647.816   6\r\n  -6  -7  -2 929.669 575.169   4\r\n  -6   7   2 1184.34 764.068   1\r\n   6   7  -2 1040.03 410.099   1\r\n  -6  -7  -1 4035.27 1010.86   5\r\n   6   7  -1 5225.33 953.121   1\r\n  -6   7   1 6918.25 977.675   7\r\n  -6   7   1 6284.48 1527.53   6\r\n  -6  -7  -1 4953.60 568.036   3\r\n   6   7   0 2148.92 823.213   1\r\n  -6  -7   0 1274.97 609.898   5\r\n   6  -7   0 1008.35 778.576   4\r\n  -6  -7   1 3850.46 732.720   5\r\n   6  -7  -1 5385.61 1280.01   5\r\n   6  -7  -1 7029.91 1074.49   4\r\n  -6   7  -1 5055.73 668.614   7\r\n   6   7   1 4371.00 1245.63   1\r\n   6  -7  -2 1396.14 303.151   4\r\n  -6  -7   2 214.618 266.581   5\r\n   6  -7  -2 2048.19 893.991   5\r\n  -6   7  -2 1218.24 448.582   7\r\n   6   7   2 205.437 773.516   1\r\n   6  -7  -3 262.032 1089.57   5\r\n   6   7   3-3.99623 757.071   1\r\n   6  -7  -4 3227.82 1103.14   5\r\n  -6  -7   4 2364.59 1002.88   2\r\n   6   7   4 1498.72 1056.78   1\r\n  -6  -7   5-289.135 333.601   2\r\n   6   7   5 77.4292 1466.58   1\r\n  -6  -8  -4-568.226 784.862   5\r\n  -6   8   4-1996.25 1312.10   1\r\n   6  -8   4 1669.70 1061.83   4\r\n   6   8  -4 557.309 950.192   7\r\n  -6  -8  -3 3094.02 1284.49   5\r\n  -6   8   3 3625.50 1291.45   1\r\n   6  -8   3 2492.46 1358.32   4\r\n   6   8  -3 1435.21 970.536   7\r\n  -6  -8  -2 1797.89 855.524   5\r\n   6   8  -2 958.889 894.303   7\r\n  -6   8   2 494.528 696.185   1\r\n   6   8  -1 2279.01 817.625   1\r\n  -6  -8  -1 2557.73 805.883   5\r\n  -6  -8   0 494.946 643.763   5\r\n   6  -8   0 606.549 909.936   4\r\n   6   8   0 2462.05 945.515   1\r\n   6   8   1 1712.41 937.306   1\r\n   6  -8  -1 2263.77 1112.14   5\r\n   6  -8  -1 1647.58 707.873   4\r\n   6   8   2 1014.66 945.629   1\r\n   6  -8  -2 1751.46 814.214   5\r\n   6   8   3 2647.57 1288.03   1\r\n   6  -8  -3 4353.38 1285.61   5\r\n   6   8   4 15.2954 1267.43   1\r\n   6  -8  -4 272.242 849.952   5\r\n  -6  -8   4 1798.39 978.703   2\r\n  -6  -9  -2 343.839 1067.80   5\r\n   6  -9   2 1463.22 842.773   4\r\n   6   9  -2 869.435 902.791   7\r\n   6   9  -1 74.7703 1084.37   7\r\n  -6  -9  -1 525.732 767.291   5\r\n   6  -9   1-208.750 1117.80   4\r\n   6  -9   0 4775.27 1359.40   5\r\n   6  -9   0 2010.52 1125.02   4\r\n   6   9   0 1730.52 1081.94   1\r\n   6  -9  -1-836.878 931.100   5\r\n   6   9   1 337.641 699.481   1\r\n   6  -9  -2 357.841 817.715   5\r\n   6   9   2 2013.64 1092.56   1\r\n  -7   0   0-36.3464 245.955   4\r\n  -7   0   0-589.700 376.584   2\r\n  -7   0  -1 14687.3 1192.99   4\r\n  -7   0  -1 11278.6 963.129   6\r\n  -7   0   1 14804.2 1047.95   4\r\n   7   0  -1 13331.3 1009.20   4\r\n  -7   0   1 15019.0 1223.81   2\r\n  -7   0  -1 15844.9 938.736   2\r\n   7   0  -1 13673.5 991.729   7\r\n   7   0   1 13678.8 929.700   2\r\n   7   0  -2 108.353 557.677   7\r\n  -7   0   2 175.215 563.140   2\r\n   7   0  -2 3.17755 355.552   5\r\n  -7   0   2 82.3718 438.433   7\r\n  -7   0  -2 27.2869 500.626   4\r\n  -7   0  -2 252.107 337.234   6\r\n  -7   0   2 273.080 339.814   4\r\n   7   0  -2 113.640 339.362   1\r\n   7   0   2 98.6519 249.196   2\r\n   7   0  -3 76328.6 2511.97   1\r\n   7   0   3 76424.9 3135.02   7\r\n   7   0   3 86454.4 3536.46   4\r\n   7   0  -3 80834.7 3465.30   2\r\n   7   0  -3 79086.4 3502.06   7\r\n  -7   0   3 84756.2 3039.07   4\r\n  -7   0   3 80997.8 3374.82   2\r\n  -7   0  -3 80850.5 2438.13   6\r\n  -7   0  -3 89121.4 3715.51   4\r\n   7   0   3 78577.9 2479.61   6\r\n   7   0   3 84408.4 1843.58   2\r\n   7   0  -3 81281.3 2960.55   5\r\n  -7   0   3 79639.8 3233.47   7\r\n   7   0   3 92877.1 4380.08   3\r\n   7   0  -4 3186.13 939.624   5\r\n  -7   0   4 3496.85 905.389   2\r\n   7   0   4 4063.72 497.229   2\r\n  -7   0   4 4387.40 891.605   5\r\n  -7   0  -4 650.581 1049.08   3\r\n   7   0   4 4526.03 1065.08   4\r\n   7   0   4 4111.95 429.508   2\r\n   7   0  -4 3403.97 1084.75   7\r\n   7   0  -4 3994.57 994.663   2\r\n   7   0   4 4175.47 1054.68   7\r\n   7   0   4 3843.79 629.617   6\r\n  -7   0   4 4428.33 873.336   4\r\n   7   0  -5 9826.77 1635.95   5\r\n  -7   0   5 9936.42 1662.87   2\r\n   7   0   5 10841.8 647.561   2\r\n   7   0   5 11959.0 1804.03   4\r\n   7   0   5 10301.2 672.502   2\r\n   7   0   5 11047.8 1004.99   6\r\n   7   0  -5 8104.08 1728.23   7\r\n  -7   0   5 10779.0 1504.89   4\r\n   7   0  -6 2136.64 1063.39   5\r\n   7   0   6 2486.56 1165.51   4\r\n  -7  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7\r\n  -7  -1  -4 4140.93 1430.39   3\r\n   7  -1   4 8954.13 1127.01   6\r\n  -7  -1  -4 8506.85 1504.63   5\r\n   7  -1   4 5495.73 1303.34   4\r\n   7  -1   4 8923.68 1340.47   7\r\n  -7   1   4 8351.13 979.060   4\r\n  -7   1   4 7207.07 1010.76   1\r\n  -7   1   4 7936.46 1251.23   2\r\n  -7  -1  -3 1272.59 711.762   5\r\n   7   1  -3 1263.59 447.834   5\r\n   7  -1   3 2307.47 829.242   3\r\n   7   1  -3 2765.68 466.559   1\r\n   7  -1   3 2049.72 803.024   4\r\n  -7  -1  -3 1493.61 1068.67   3\r\n  -7  -1  -3 1184.32 532.240   4\r\n   7  -1   3 1790.72 554.956   6\r\n   7  -1   3 1972.87 644.421   7\r\n   7   1  -3 1794.26 650.284   2\r\n   7   1  -3 1743.93 739.137   7\r\n  -7   1   3 1986.17 466.662   4\r\n  -7   1   3 1149.83 575.277   7\r\n  -7  -1  -3 1654.42 319.460   6\r\n  -7   1   3 1803.90 758.084   2\r\n  -7  -1  -2 43929.3 2700.90   3\r\n  -7  -1  -2 44790.7 2285.15   4\r\n  -7   1   2 43212.6 1621.16   4\r\n   7  -1   2 37766.2 1749.31   7\r\n   7   1  -2 39455.8 2128.74   7\r\n  -7  -1  -2 44910.6 2327.91   5\r\n   7  -1   2 42958.0 2090.32   6\r\n  -7  -1  -2 40471.2 1546.31   6\r\n  -7   1   2 40880.8 1955.25   7\r\n  -7   1   2 41405.2 2181.50   2\r\n   7   1  -2 41824.8 1483.63   5\r\n  -7  -1  -1 10128.9 785.469   2\r\n  -7  -1  -1 11165.1 1070.11   4\r\n  -7   1   1 10395.5 817.765   4\r\n   7  -1   1 10469.8 881.829   2\r\n   7   1  -1 10117.2 1008.87   7\r\n   7  -1   1 10457.5 1054.75   6\r\n  -7   1   1 11377.9 814.803   7\r\n  -7   1   1 9768.73 1027.70   2\r\n  -7   1   0 275374. 4480.27   4\r\n   7  -1   0 275013. 4360.22   4\r\n  -7  -1   0 288304. 4837.24   4\r\n  -7   1   0 276393. 4511.58   2\r\n   7   1   0 275945. 4668.53   2\r\n  -7   1   0 268286. 5130.25   6\r\n  -7  -1   0 279761. 4648.07   2\r\n  -7   1  -1 8669.59 990.556   4\r\n   7  -1  -1 10941.8 867.016   7\r\n   7   1   1 11282.2 854.563   2\r\n   7  -1  -1 10913.2 862.405   4\r\n  -7  -1   1 9298.66 947.930   4\r\n  -7  -1   1 11353.6 1162.79   2\r\n  -7   1  -1 10987.7 1063.93   6\r\n   7   1   1 10438.3 972.536   5\r\n   7  -1  -2 42177.0 2246.15   2\r\n   7  -1  -2 43511.0 1952.48   1\r\n  -7  -1   2 37236.9 2266.57   2\r\n   7   1   2 43424.2 2150.36   4\r\n   7   1   2 45128.8 1261.03   2\r\n  -7  -1   2 39131.5 2098.03   4\r\n  -7   1  -2 39604.3 1980.49   6\r\n   7  -1  -2 41959.4 1749.28   4\r\n  -7   1  -2 41447.7 2421.04   4\r\n   7  -1  -2 42661.0 2125.69   7\r\n   7  -1  -2 43246.9 1985.95   5\r\n   7  -1  -3 1648.36 552.653   1\r\n   7  -1  -3 1437.79 678.604   5\r\n  -7   1  -3 2474.47 668.961   6\r\n  -7  -1   3 1268.80 649.101   2\r\n   7  -1  -3 1946.23 677.069   2\r\n   7  -1  -3 1746.22 704.052   7\r\n   7   1   3 1482.35 639.191   4\r\n   7   1   3 1280.10 555.509   7\r\n  -7  -1   3 1955.20 637.967   4\r\n   7   1   4 8990.55 1625.59   3\r\n   7  -1  -4 7766.56 1350.11   5\r\n  -7  -1   4 8288.62 1364.73   2\r\n   7  -1  -4 4893.16 1086.28   2\r\n   7  -1  -4 8139.96 1440.05   7\r\n   7   1   4 7279.49 1261.12   4\r\n   7  -1  -4 8065.30 1081.74   1\r\n  -7  -1   4 6532.42 1254.88   4\r\n  -7  -1   4 7308.05 1010.59   5\r\n   7  -1  -5 11934.5 1810.27   5\r\n   7   1   5 12830.6 1786.66   4\r\n  -7  -1   5 12784.6 1892.78   2\r\n   7  -1  -5 12216.1 1743.80   2\r\n   7  -1  -5 13523.9 2218.59   7\r\n  -7  -1   5 13732.6 1619.82   5\r\n   7  -1  -6 2256.53 1125.14   5\r\n  -7  -1   6 4304.75 1064.04   2\r\n   7   1   6 3152.57 1160.28   4\r\n   7  -1  -6 2883.88 1370.77   7\r\n   7  -1  -7 3853.93 1395.22   5\r\n  -7  -1   7 2429.62 1013.33   2\r\n   7   1   7 5465.74 1424.18   4\r\n   7  -1  -7 2843.93 1600.74   7\r\n  -7   2   7-1238.18 1058.06   1\r\n   7  -2   7 1114.13 1168.83   4\r\n  -7  -2  -7-108.962 965.544   5\r\n   7   2  -7 523.555 1471.61   7\r\n  -7   2   6 5223.43 1092.57   6\r\n   7  -2   6 4680.01 1479.01   4\r\n   7   2  -6 5825.69 1711.64   7\r\n   7  -2   6 4654.87 1034.55   2\r\n  -7   2   6 6002.52 1082.90   2\r\n   7   2  -6 4745.45 1100.70   5\r\n  -7  -2  -6 5203.13 1793.07   5\r\n  -7   2   6 4401.86 1163.74   1\r\n   7  -2   5 9556.50 1831.53   4\r\n   7   2  -5 9542.11 1329.59   5\r\n  -7   2   5 9769.86 977.806   4\r\n  -7   2   5 9247.68 1414.11   1\r\n  -7   2   5 10291.3 952.534   4\r\n   7  -2   5 9774.51 1491.68   6\r\n  -7   2   5 6848.64 1238.50   2\r\n   7   2  -5 9878.80 1937.24   7\r\n  -7  -2  -5 10496.3 1808.50   5\r\n  -7  -2  -4 31092.2 2378.25   4\r\n   7  -2   4 31617.7 2763.43   4\r\n  -7   2   4 31290.6 1389.37   4\r\n  -7   2   4 31457.0 2226.06   1\r\n  -7   2   4 31315.9 2269.90   2\r\n   7  -2   4 33441.6 2408.29   7\r\n   7   2  -4 30345.1 2696.81   7\r\n   7  -2   4 30897.2 2283.54   6\r\n   7   2  -4 31098.4 1872.01   5\r\n  -7  -2  -4 30768.1 2692.25   5\r\n   7  -2   3 9385.14 1545.73   3\r\n   7   2  -3 8863.58 588.343   1\r\n  -7  -2  -3 7664.73 1321.02   5\r\n  -7  -2  -3 10386.4 1692.88   3\r\n  -7  -2  -3 10288.4 1254.24   4\r\n  -7   2   3 8267.41 625.313   4\r\n   7   2  -3 7808.57 1312.43   7\r\n   7  -2   3 8003.22 1068.75   7\r\n   7  -2   3 9351.61 1257.85   6\r\n  -7   2   3 8664.81 1139.69   1\r\n  -7   2   3 8874.21 1228.54   7\r\n  -7   2   3 8722.56 1159.17   2\r\n  -7   2   3 6428.64 1104.63   6\r\n   7  -2   3 10459.2 1407.91   5\r\n   7   2  -3 10035.9 875.251   5\r\n  -7  -2  -2 72595.3 3487.49   3\r\n  -7  -2  -2 81637.9 1780.32   2\r\n  -7   2   2 83901.6 2793.74   7\r\n  -7  -2  -2 84466.1 3100.59   4\r\n  -7   2   2 85827.3 1888.77   4\r\n  -7   2   2 82393.5 3248.90   6\r\n  -7   2   2 86285.0 3080.94   2\r\n   7   2  -2 86967.4 3277.09   7\r\n   7  -2   2 87763.2 3367.57   6\r\n   7  -2   2 77717.1 2345.65   7\r\n   7   2  -2 80260.8 1403.06   5\r\n  -7  -2  -2 84043.8 3248.62   5\r\n   7  -2   1 30621.3 1881.65   4\r\n  -7   2   1 29798.9 1329.77   4\r\n  -7  -2  -1 30604.9 1775.28   4\r\n  -7  -2  -1 34633.0 1569.84   2\r\n   7  -2   1 32125.4 956.250   7\r\n  -7   2   1 28493.3 1887.27   6\r\n  -7  -2  -1 30799.6 1618.61   5\r\n  -7   2   1 29829.1 1220.82   7\r\n   7   2   0 130.419 208.808   5\r\n   7  -2   0 476.183 344.145   4\r\n  -7  -2   0 321.116 456.989   2\r\n  -7   2   0 72.9660 282.564   4\r\n  -7  -2   0 142.961 326.698   4\r\n  -7   2   0-440.871 501.925   6\r\n  -7   2  -1 33132.9 2036.06   6\r\n   7  -2  -1 29773.1 1378.86   7\r\n  -7   2  -1 33248.3 2003.47   4\r\n   7  -2  -1 28649.8 1253.14   4\r\n   7   2   1 29676.8 1655.75   5\r\n  -7  -2   1 26044.2 1756.19   4\r\n  -7  -2   1 25520.1 1807.41   2\r\n   7   2   1 30461.3 1817.36   4\r\n   7  -2  -1 32510.7 1736.04   1\r\n  -7   2  -1 28480.4 2038.75   3\r\n  -7   2  -2 80883.8 3937.23   3\r\n   7  -2  -2 81650.4 3006.79   1\r\n   7   2   2 83189.4 2961.20   4\r\n   7  -2  -2 89440.7 3058.58   7\r\n  -7  -2   2 88009.2 3507.77   4\r\n   7  -2  -2 89179.5 3305.24   2\r\n  -7  -2   2 83535.8 3503.54   2\r\n  -7   2  -2 85573.7 3308.93   6\r\n   7  -2  -2 84900.7 1978.75   4\r\n   7   2   2 81254.6 3289.49   5\r\n   7  -2  -2 85911.8 3084.15   5\r\n   7  -2  -3 9853.51 1367.17   7\r\n  -7   2  -3 8669.32 1184.43   6\r\n  -7  -2   3 10666.1 1400.46   4\r\n  -7   2  -3 10820.0 1869.05   3\r\n   7   2   3 10917.1 1276.92   4\r\n   7  -2  -3 9221.12 1263.83   2\r\n   7  -2  -3 11136.8 1329.58   1\r\n  -7  -2   3 8618.67 1349.49   2\r\n   7   2   3 12121.0 1551.96   5\r\n   7  -2  -3 10370.5 1321.28   5\r\n  -7  -2   3 9408.16 772.188   5\r\n   7  -2  -4 31651.0 2384.20   2\r\n   7   2   4 34581.4 2372.49   4\r\n  -7  -2   4 31858.8 2733.23   4\r\n   7  -2  -4 29743.7 2230.29   1\r\n   7  -2  -4 30188.6 2641.84   7\r\n  -7  -2   4 27583.7 2480.26   2\r\n   7  -2  -4 29082.2 2461.19   5\r\n  -7  -2   4 31428.1 1795.95   5\r\n   7  -2  -5 10948.8 1799.05   5\r\n  -7  -2   5 8748.99 1647.15   2\r\n   7  -2  -5 8403.37 1469.85   2\r\n   7   2   5 10198.5 1532.87   4\r\n   7  -2  -5 9527.06 1798.48   7\r\n  -7  -2   5 10926.8 1355.25   5\r\n  -7  -2   6 5607.13 1180.48   2\r\n   7  -2  -6 6157.12 1516.54   5\r\n   7   2   6 5340.55 1331.57   4\r\n   7  -2  -6 4389.48 1324.79   7\r\n   7  -2  -7-2533.17 1434.25   5\r\n  -7  -2   7-2224.10 937.765   2\r\n   7   2   7 1162.16 778.045   1\r\n   7   2   7 881.587 840.110   4\r\n   7   3  -7 5067.82 1968.95   7\r\n  -7   3   7 4172.23 1369.45   1\r\n   7  -3   7 2913.24 1676.93   4\r\n  -7  -3  -7 2899.34 1370.46   5\r\n   7   3  -6 7063.37 1560.07   7\r\n  -7   3   6 5094.10 1378.84   1\r\n  -7  -3  -6 7533.66 1546.69   5\r\n  -7   3   6 3380.94 917.861   6\r\n   7  -3   6 5511.76 1611.20   4\r\n   7   3  -5 14563.7 2273.97   7\r\n  -7   3   5 15536.2 1966.26   1\r\n  -7  -3  -5 15360.3 2248.75   5\r\n   7  -3   5 14530.5 2336.41   4\r\n  -7   3   5 14265.4 1638.10   6\r\n  -7  -3  -4 4813.85 1299.32   5\r\n  -7   3   4 5809.94 1193.51   1\r\n   7   3  -4 5689.73 1444.69   7\r\n  -7   3   4 5478.41 1182.16   6\r\n   7  -3   4 5917.03 1608.49   4\r\n  -7  -3  -4 5185.80 1050.94   4\r\n   7  -3   4 6035.09 1374.81   6\r\n   7  -3   4 6469.51 1101.51   7\r\n  -7  -3  -3 2750.95 899.019   5\r\n  -7   3   3 4598.45 984.852   1\r\n   7  -3   3 4522.32 1127.84   3\r\n  -7  -3  -3 5270.89 1315.27   3\r\n  -7   3   3 3731.73 909.852   6\r\n   7  -3   3 3399.71 1140.47   4\r\n  -7  -3  -3 4393.68 885.394   4\r\n  -7  -3  -3 4272.77 380.974   6\r\n  -7   3   3 4008.35 857.386   7\r\n   7  -3   3 5076.76 1148.46   6\r\n   7   3  -3 3843.02 997.164   7\r\n   7  -3   3 4625.81 761.819   7\r\n  -7  -3  -2 9270.19 1308.43   3\r\n   7  -3   2 8749.03 1297.47   4\r\n  -7  -3  -2 7796.82 1047.06   4\r\n   7  -3   2 8515.81 738.374   7\r\n   7   3  -2 9529.07 1220.47   7\r\n  -7   3   2 8620.51 1002.60   7\r\n  -7  -3  -2 8276.05 796.092   2\r\n  -7   3   2 8530.19 1178.78   6\r\n   7  -3   2 9203.01 1302.54   6\r\n  -7  -3  -2 7315.48 1123.09   5\r\n  -7   3   1 19020.5 1702.59   6\r\n  -7  -3  -1 17542.2 1448.30   4\r\n  -7   3   1 19132.0 1041.77   7\r\n  -7  -3  -1 19022.4 1383.88   2\r\n   7  -3   1 19913.9 1663.14   4\r\n  -7  -3  -1 18670.7 1375.26   5\r\n   7  -3   0 55010.3 2357.14   1\r\n   7  -3   0 55201.7 2264.39   4\r\n  -7  -3   0 54687.6 2564.65   4\r\n   7   3   0 44787.4 2583.20   4\r\n  -7   3   0 52561.3 2776.86   6\r\n  -7  -3   0 53733.6 2585.40   2\r\n  -7  -3   0 50049.1 1652.56   5\r\n   7   3   0 54650.7 1633.27   5\r\n  -7   3  -1 20752.5 1785.96   3\r\n  -7  -3   1 20570.1 1701.02   4\r\n   7  -3  -1 19418.4 1509.57   1\r\n   7  -3  -1 20412.2 1099.54   4\r\n   7   3   1 22354.1 1668.91   4\r\n  -7   3  -1 19601.1 1794.16   6\r\n  -7  -3   1 20469.7 1787.17   2\r\n   7  -3  -1 18483.5 1661.41   6\r\n   7   3   1 19508.3 1387.96   5\r\n   7  -3  -2 8233.82 1143.33   1\r\n  -7   3  -2 8948.17 1461.42   3\r\n   7  -3  -2 7844.24 487.130   4\r\n   7  -3  -2 8318.63 1139.46   2\r\n  -7   3  -2 9643.03 1369.05   6\r\n  -7  -3   2 9243.77 1379.55   2\r\n  -7  -3   2 5890.73 1097.22   4\r\n   7   3   2 8999.46 1197.52   5\r\n   7  -3  -2 9036.92 1185.54   5\r\n   7   3   2 8631.05 1130.65   4\r\n   7  -3  -3 4192.35 909.517   2\r\n   7   3   3 4133.86 1090.82   5\r\n   7  -3  -3 3214.94 988.159   5\r\n  -7   3  -3 184.689 945.507   3\r\n   7  -3  -3 3473.88 907.873   7\r\n  -7  -3   3 2622.22 998.098   2\r\n   7   3   3 3816.38 895.453   4\r\n   7  -3  -3 4316.26 957.880   1\r\n  -7  -3   3 4147.73 1005.78   4\r\n  -7  -3   3 4756.72 441.440   5\r\n   7  -3  -4 7513.19 1535.92   5\r\n   7  -3  -4 5182.35 1153.11   2\r\n   7  -3  -4 6955.10 1474.77   7\r\n  -7  -3   4 6943.39 1496.15   2\r\n   7   3   4 5016.69 1091.42   4\r\n  -7  -3   4 5983.09 820.760   5\r\n   7   3   5 15006.2 1759.48   4\r\n  -7  -3   5 12753.7 2067.87   2\r\n   7  -3  -5 17037.5 2358.75   5\r\n  -7  -3   5 17885.5 1601.18   5\r\n   7  -3  -6 5164.74 1623.79   5\r\n  -7  -3   6 5819.48 1500.50   2\r\n   7   3   6 4916.92 1111.95   4\r\n   7  -3  -7 2333.09 1271.46   5\r\n  -7  -3   7 3308.77 1132.59   2\r\n   7   3   7 4107.92 1575.43   1\r\n  -7  -4  -6 1853.14 1163.52   5\r\n  -7   4   6 826.644 801.411   1\r\n   7  -4   6 1143.40 1397.64   4\r\n   7   4  -6 1615.85 1188.06   7\r\n  -7  -4  -5 3021.73 1206.19   5\r\n   7  -4   5 2422.95 1226.82   4\r\n  -7   4   5 4514.46 984.800   6\r\n   7   4  -5 4030.55 1427.15   7\r\n  -7   4   5 2344.34 1105.54   1\r\n  -7  -4  -4 21049.7 2500.26   5\r\n   7  -4   4 23412.9 2700.25   4\r\n  -7  -4  -4 24364.2 2034.08   4\r\n  -7   4   4 24141.9 2157.95   6\r\n  -7   4   4 21777.3 2259.11   1\r\n   7  -4   4 26835.3 1974.20   7\r\n   7   4  -4 22972.1 2568.28   7\r\n   7  -4   3 17746.3 2222.17   3\r\n  -7  -4  -3 18549.1 2143.27   3\r\n   7   4  -3 16614.8 1907.13   7\r\n   7  -4   3 17542.9 2222.24   4\r\n  -7  -4  -3 17249.5 1636.42   4\r\n  -7   4   3 17585.7 1783.41   7\r\n   7  -4   3 16453.5 1298.14   7\r\n  -7  -4  -3 17702.4 1056.82   6\r\n  -7  -4  -3 15527.8 1019.72   2\r\n  -7   4   3 18760.4 1899.73   6\r\n  -7   4   3 17340.6 1851.27   1\r\n  -7  -4  -3 17151.6 2002.69   5\r\n  -7  -4  -2 231.409 551.706   5\r\n  -7  -4  -2 282.472 472.857   3\r\n  -7   4   2-853.665 485.120   7\r\n   7  -4   2 39.8033 625.987   4\r\n   7   4  -2 183.588 642.363   7\r\n  -7  -4  -2-32.7299 209.598   4\r\n   7  -4   2-150.362 616.078   6\r\n  -7   4   2 358.959 394.665   6\r\n  -7  -4  -2-109.280 349.897   2\r\n  -7   4   2-487.864 593.302   1\r\n   7  -4   1 13752.1 1547.98   4\r\n  -7  -4  -1 12787.2 1345.24   4\r\n  -7   4   1 14204.2 1648.04   6\r\n   7  -4   1 14172.6 1294.47   1\r\n  -7   4   1 11827.6 900.624   7\r\n  -7  -4  -1 13633.3 1312.47   5\r\n  -7   4   0 7000.78 935.754   3\r\n   7  -4   0 8485.48 1054.48   4\r\n   7  -4   0 7846.23 1072.48   1\r\n  -7  -4   0 8082.94 805.493   5\r\n  -7   4   0 7956.30 1299.68   6\r\n  -7  -4   0 7900.60 1128.18   4\r\n   7   4   0 8746.97 1353.37   4\r\n  -7   4  -1 12759.2 1550.72   3\r\n   7  -4  -1 12827.1 1422.05   1\r\n   7  -4  -1 11383.5 962.350   4\r\n   7  -4  -1 13581.9 1469.99   2\r\n   7   4   1 13629.4 1531.97   4\r\n  -7  -4   1 15054.1 1645.97   4\r\n  -7   4  -1 14638.8 1756.84   6\r\n   7  -4  -1 14796.1 1642.44   6\r\n  -7  -4   1 13660.8 1700.68   2\r\n   7   4   1 12491.8 1178.35   5\r\n   7  -4  -2-52.9378 592.982   1\r\n   7   4   2-829.454 534.934   5\r\n  -7   4  -2 253.897 280.532   7\r\n   7  -4  -2-395.016 563.669   5\r\n  -7   4  -2 289.238 573.829   3\r\n  -7  -4   2 27.1856 724.277   2\r\n   7  -4  -2 151.052 101.415   4\r\n   7  -4  -2-24.7479 458.654   2\r\n   7   4   2 8.11480 515.746   4\r\n  -7   4  -2 39.0151 481.235   6\r\n  -7  -4   2-784.185 579.845   4\r\n   7   4   3 13641.6 1498.61   4\r\n  -7   4  -3 18958.8 1510.33   7\r\n   7  -4  -3 19815.9 1881.04   2\r\n  -7  -4   3 17583.9 2143.26   2\r\n   7  -4  -3 16091.9 1933.12   5\r\n   7   4   4 23808.9 1990.59   4\r\n  -7  -4   4 22943.8 2584.44   2\r\n  -7   4  -4 20253.0 1950.74   7\r\n   7  -4  -4 19980.0 2403.83   5\r\n  -7  -4   4 25188.0 1272.47   5\r\n   7  -4  -5 4143.70 1199.48   5\r\n  -7  -4   5 4172.78 1205.75   2\r\n   7   4   5 2516.69 763.763   4\r\n  -7   4  -5 1660.30 816.097   7\r\n   7  -4  -6 670.856 950.745   5\r\n   7   4   6 973.564 1094.56   1\r\n  -7  -4   6 5.00034 1066.40   2\r\n  -7  -5  -6 3855.07 1386.66   5\r\n  -7   5   6 2322.00 1085.15   1\r\n   7   5  -6 688.068 1162.50   7\r\n   7  -5   6 688.925 1469.45   4\r\n  -7  -5  -5-745.963 891.756   5\r\n  -7   5   5-1696.40 997.011   1\r\n   7  -5   5 765.096 894.430   4\r\n   7   5  -5-937.774 947.758   7\r\n  -7   5   5-85.2524 617.026   6\r\n  -7  -5  -4 2121.83 967.816   5\r\n  -7   5   4 377.874 871.128   1\r\n  -7  -5  -4 994.934 272.332   2\r\n   7  -5   4 1546.01 1115.10   4\r\n  -7  -5  -4 235.886 575.622   4\r\n   7   5  -4 1111.34 938.902   7\r\n   7  -5   4 855.179 588.858   7\r\n  -7   5   4 2018.48 858.022   6\r\n   7  -5   4 1325.42 444.850   1\r\n  -7  -5  -3 7127.47 1474.19   5\r\n  -7  -5  -3 8692.52 1527.92   3\r\n   7  -5   3 8331.85 1081.07   1\r\n  -7   5   3 8383.53 1263.02   7\r\n   7   5  -3 8689.85 1509.90   7\r\n  -7  -5  -3 8556.22 1000.24   6\r\n  -7   5   3 8878.19 1479.88   6\r\n  -7  -5  -3 7684.99 983.164   2\r\n   7  -5   3 7073.22 1680.62   4\r\n  -7   5   3 8537.10 1400.50   1\r\n  -7  -5  -3 8480.22 1216.81   4\r\n   7   5  -2 12265.9 903.536   1\r\n  -7  -5  -2 12299.7 1497.02   3\r\n  -7  -5  -2 14194.5 1486.75   4\r\n   7  -5   2 14478.6 1440.75   1\r\n  -7   5   2 12234.3 1316.08   7\r\n   7   5  -2 13610.7 1720.16   7\r\n   7  -5   2 11104.6 1735.27   4\r\n  -7  -5  -2 10892.5 1306.98   6\r\n  -7   5   2 11925.3 1670.49   6\r\n  -7   5   2 11195.4 1536.04   1\r\n  -7  -5  -2 12525.4 1596.47   5\r\n  -7  -5  -1 7578.44 1114.26   5\r\n   7  -5   1 10080.0 1499.25   4\r\n   7  -5   1 8079.73 1124.67   1\r\n  -7   5   1 7372.01 1347.95   6\r\n  -7  -5  -1 8772.26 1192.85   4\r\n  -7   5   1 7872.42 868.185   7\r\n   7   5  -1 7142.63 904.105   1\r\n  -7   5   1 9459.46 938.114   3\r\n  -7   5   0 31028.2 1947.56   3\r\n   7  -5   0 32723.0 2264.44   1\r\n   7  -5   0 32069.6 2156.42   4\r\n  -7   5   0 30768.7 930.253   7\r\n  -7   5   0 29504.2 2626.38   6\r\n  -7  -5   0 30260.3 2389.81   4\r\n  -7   5   0 33418.2 1093.64   7\r\n  -7  -5   0 34672.2 1836.65   5\r\n  -7   5  -1 8273.46 447.536   7\r\n   7  -5  -1 7829.42 937.462   4\r\n  -7   5  -1 8786.99 1380.74   3\r\n   7  -5  -1 7702.28 1403.78   6\r\n  -7   5  -1 9060.42 1594.25   6\r\n  -7  -5   1 8775.29 682.014   5\r\n   7   5   1 8056.27 1428.40   4\r\n   7   5   1 8981.70 1098.84   5\r\n  -7  -5   2 12527.7 1887.26   2\r\n   7  -5  -2 12629.4 629.966   4\r\n  -7   5  -2 13468.9 982.621   7\r\n   7   5   2 11464.9 1561.08   4\r\n   7  -5  -2 12476.8 701.302   4\r\n  -7   5  -2 13263.0 1983.02   6\r\n   7  -5  -2 13530.5 1731.46   6\r\n   7   5   2 13617.9 1544.22   5\r\n   7  -5  -2 12353.8 1697.43   5\r\n   7  -5  -3 7876.13 1633.87   5\r\n  -7  -5   3 7982.04 1666.55   2\r\n  -7   5  -3 9087.67 1030.05   7\r\n   7   5   3 7564.51 1254.28   4\r\n   7  -5  -4 1329.15 1055.64   5\r\n  -7   5  -4 704.033 552.276   7\r\n   7   5   4 1676.20 740.127   4\r\n  -7  -5   4 1396.36 933.967   2\r\n   7  -5  -5-505.309 1019.87   5\r\n   7   5   5 381.707 1059.66   1\r\n  -7   5  -5 198.979 526.846   7\r\n   7   5   5 628.815 657.590   4\r\n  -7  -5   5-261.775 437.920   2\r\n  -7  -5   6 387.730 1256.62   2\r\n   7   5   6 1914.22 1051.17   1\r\n  -7  -6  -5 2375.77 1127.25   5\r\n   7   6  -5 4011.16 1302.93   7\r\n  -7   6   5 1317.52 1092.40   1\r\n   7  -6   5 4205.45 1626.60   4\r\n  -7  -6  -4 3985.27 1284.96   5\r\n  -7   6   4 4952.89 1501.26   1\r\n   7  -6   4 3781.84 1483.60   4\r\n   7   6  -4 5337.75 1380.80   7\r\n  -7   6   4 3880.29 1098.34   6\r\n  -7  -6  -3 3082.33 1119.74   5\r\n  -7   6   3 4976.63 1211.48   1\r\n   7  -6   3 6320.49 1649.88   4\r\n   7   6  -3 5971.25 1314.82   7\r\n  -7   6   3 3610.84 1325.34   6\r\n  -7   6   3 5293.02 1050.79   7\r\n   7  -6   3 4113.62 858.670   1\r\n  -7  -6  -3 4845.93 998.389   4\r\n  -7   6   2 11080.7 703.210   3\r\n  -7  -6  -2 15634.6 1498.05   3\r\n  -7  -6  -2 12083.2 1628.02   5\r\n   7   6  -2 13505.6 1048.34   1\r\n   7  -6   2 13050.9 1406.71   1\r\n  -7  -6  -2 14860.9 1643.30   4\r\n  -7   6   2 15100.5 1558.51   7\r\n   7   6  -2 13114.6 1809.70   7\r\n  -7   6   2 12127.6 1656.71   1\r\n   7  -6   2 10744.7 1788.99   4\r\n  -7  -6  -2 13396.5 1652.56   6\r\n  -7   6   2 12701.0 1780.40   6\r\n  -7  -6  -1 412.952 607.029   5\r\n  -7   6   1 1883.54 474.221   7\r\n  -7   6   1 944.619 292.586   3\r\n   7  -6   1 1119.30 754.537   4\r\n  -7  -6  -1 975.193 802.489   6\r\n  -7   6   1 570.486 845.246   6\r\n  -7  -6  -1 738.662 685.851   4\r\n   7   6  -1 186.557 496.834   1\r\n  -7  -6   0 1907.91 579.211   5\r\n  -7   6   0 2913.08 399.581   7\r\n  -7   6   0 2380.88 427.298   7\r\n   7  -6   0 3611.82 939.534   4\r\n   7   6   0 2101.32 767.542   1\r\n  -7   6   0 2446.29 945.296   6\r\n  -7  -6   1 695.888 403.059   5\r\n  -7   6  -1 711.202 227.248   7\r\n   7  -6  -1 448.850 442.892   4\r\n  -7   6  -1 472.364 854.053   6\r\n   7   6   1 1555.99 757.741   1\r\n   7  -6  -2 11865.7 1821.82   5\r\n   7  -6  -2 13966.6 815.793   4\r\n  -7   6  -2 14876.6 1053.33   7\r\n   7  -6  -2 14233.7 858.444   4\r\n   7   6   2 14537.2 1837.08   1\r\n   7  -6  -3 3421.24 1168.87   5\r\n   7   6   3 4494.88 1315.76   1\r\n  -7  -6   3 6320.16 1573.80   2\r\n  -7   6  -3 6720.42 956.178   7\r\n   7   6   3 5202.62 1317.82   4\r\n   7  -6  -4 4877.33 1441.08   5\r\n  -7   6  -4 2763.23 771.134   7\r\n   7   6   4 6522.63 1594.70   1\r\n   7   6   4 2612.43 1040.18   4\r\n  -7  -6   4 3612.02 1256.93   2\r\n   7  -6  -5 2540.41 1362.34   5\r\n  -7  -6   5 3868.17 1550.47   2\r\n   7   6   5 1633.52 1324.00   1\r\n  -7  -7  -4 3623.22 1120.56   5\r\n  -7   7   4-223.092 1101.52   1\r\n  -7   7   4 733.638 649.692   6\r\n   7  -7   4 667.164 1150.70   4\r\n  -7  -7  -3 2154.77 844.323   5\r\n  -7   7   3 3201.11 1265.11   1\r\n   7  -7   3 1544.93 1185.31   4\r\n   7   7  -3 5564.26 1334.47   7\r\n  -7   7   3 3083.43 1157.19   6\r\n  -7  -7  -2 3711.79 995.961   5\r\n  -7   7   2 4361.50 1350.32   6\r\n   7   7  -2 4288.92 711.961   1\r\n   7  -7   2 5954.72 1508.08   4\r\n   7   7  -2 2960.92 1053.37   7\r\n  -7   7   2 4536.46 1264.53   1\r\n  -7  -7  -1 3260.57 963.634   5\r\n  -7  -7  -1 4103.08 665.694   3\r\n   7   7  -1 2801.55 785.804   1\r\n   7  -7   1 3203.28 1056.74   4\r\n  -7   7   1 2947.57 1060.63   6\r\n  -7  -7   0 204.788 446.307   5\r\n   7  -7   0-267.892 700.000   4\r\n  -7   7   0 474.413 730.974   6\r\n  -7   7   0 91.1235 259.618   7\r\n   7   7   0 192.242 624.743   1\r\n  -7  -7   1 3291.80 624.832   5\r\n   7  -7  -1 3434.12 1149.92   5\r\n   7  -7  -1 4530.07 938.467   4\r\n  -7   7  -1 4566.60 535.744   7\r\n   7   7   1 4150.45 1172.07   1\r\n   7  -7  -2 4940.07 1348.34   5\r\n   7   7   2 3436.72 1015.58   1\r\n   7  -7  -3 2551.11 1106.67   5\r\n   7   7   3 3600.99 1101.44   1\r\n  -7  -7   3 1525.43 1466.62   2\r\n   7  -7  -4 246.462 1100.85   5\r\n  -7  -7   4 982.162 763.436   2\r\n   7   7   4-734.397 1091.78   1\r\n  -7  -8  -3-1996.59 1119.41   5\r\n   7   8  -3 2414.15 842.760   7\r\n  -7   8   3-637.137 855.667   1\r\n   7  -8   3 1412.67 1166.36   4\r\n  -7  -8  -2 3745.17 950.892   5\r\n   7  -8   2 3556.01 1446.70   4\r\n   7   8  -2 4691.02 1299.01   7\r\n  -7  -8  -1 5816.32 1230.23   5\r\n   7  -8   1 5619.29 1526.48   4\r\n   7   8  -1 3845.15 982.804   1\r\n  -7  -8   0 32.3505 662.952   5\r\n   7   8   0 1226.83 724.098   1\r\n   7  -8   0 1067.89 765.967   4\r\n   7   8   1 5946.58 1433.39   1\r\n   7  -8  -1 4432.84 1311.74   5\r\n   7  -8  -2 5107.51 1387.19   5\r\n   7   8   2 3633.95 1266.08   1\r\n   7  -8  -3 1554.55 1194.53   5\r\n  -7  -8   3-612.033 852.189   2\r\n   7   8   3 1502.57 1056.83   1\r\n  -7  -9  -2-21.5017 1022.38   5\r\n   7  -9   2 2016.81 1401.34   4\r\n   7   9  -2 1911.38 1122.71   7\r\n   7  -9   1 2865.65 1471.82   4\r\n   7   9  -1 3729.09 1379.83   7\r\n   7  -9   0 2923.41 1178.25   5\r\n   7   9   0 3606.22 1104.29   1\r\n   7  -9  -1 1780.91 1331.88   5\r\n   7   9   1 2363.40 1217.57   1\r\n   7  -9  -2 2070.91 835.774   5\r\n   7   9   2 422.367 1010.33   1\r\n   8   0   0 17641.9 1251.13   2\r\n  -8   0   0 15640.7 1180.00   2\r\n  -8   0   0 18078.4 1266.27   4\r\n   8   0   1 1079.42 376.324   2\r\n  -8   0   1 1022.27 491.947   2\r\n  -8   0  -1 628.794 312.455   2\r\n  -8   0  -1 1397.56 521.519   4\r\n   8   0  -1 2213.98 488.461   7\r\n  -8   0   1 1193.98 380.515   4\r\n  -8   0  -1 615.654 389.189   6\r\n   8   0  -1 926.402 414.543   4\r\n  -8   0   2 488290. 6853.97   7\r\n  -8   0  -2 471549. 7776.41   4\r\n  -8   0   2 456503. 6298.39   4\r\n   8   0  -2 458317. 5744.42   1\r\n   8   0  -2 453708. 7069.71   7\r\n   8   0   2 458461. 5109.61   2\r\n  -8   0  -2 441064. 6044.89   6\r\n   8   0  -2 442568. 6896.29   4\r\n  -8   0   2 448686. 7489.58   2\r\n   8   0  -2 433520. 5543.54   5\r\n   8   0  -3 12412.0 1111.61   1\r\n  -8   0  -3 15679.8 1669.01   4\r\n   8   0   3 14910.7 1628.24   4\r\n   8   0   3 13612.1 1373.88   7\r\n  -8   0   3 12748.1 1245.57   4\r\n  -8   0   3 12695.1 1373.73   7\r\n   8   0  -3 12150.0 1514.38   7\r\n   8   0  -3 12716.6 1488.31   2\r\n  -8   0  -3 11930.0 1045.91   6\r\n  -8   0   3 10701.4 1393.14   2\r\n   8   0  -3 11510.6 1210.41   5\r\n   8   0   3 13731.5 852.487   2\r\n  -8   0   4 5526.05 1189.36   2\r\n   8   0  -4 6280.44 1112.15   5\r\n  -8   0  -4 6548.05 1629.18   3\r\n   8   0   4 6253.59 544.186   2\r\n   8   0  -4 4096.56 1190.92   7\r\n   8   0   4 5410.85 1221.72   4\r\n   8   0  -4 6560.10 1267.00   2\r\n   8   0  -4 5234.82 845.206   1\r\n   8   0   4 5619.14 1160.96   7\r\n  -8   0   4 5954.05 1052.93   4\r\n  -8   0   5-30.7981 643.493   2\r\n   8   0  -5-103.971 873.424   5\r\n   8   0   5 131.112 155.938   2\r\n   8   0  -5 379.621 1010.61   7\r\n   8   0   5 16.2818 144.889   2\r\n  -8   0   5-529.227 448.229   4\r\n   8   0   5-361.175 924.563   4\r\n   8   0   6 15212.7 2236.90   4\r\n  -8   0   6 13862.8 1980.68   2\r\n   8   0  -6 12929.2 2426.38   7\r\n   8   0  -6 14947.7 2122.91   5\r\n   8   0  -7 3220.16 1311.76   5\r\n   8   0  -7 2155.42 1345.08   7\r\n   8   0   7 3083.36 1166.54   4\r\n  -8   0   7 1774.80 920.417   2\r\n   8   1  -7 617.431 1109.15   7\r\n   8  -1   7 1239.06 1029.31   4\r\n  -8   1   7 1058.04 592.024   2\r\n   8   1  -7 790.290 687.868   5\r\n   8   1  -6 8463.25 1632.67   5\r\n   8   1  -6 6613.33 1805.03   7\r\n   8  -1   6 10428.1 1941.81   4\r\n  -8   1   6 7971.90 1487.63   2\r\n   8  -1   5 47992.6 2603.20   6\r\n   8  -1   5 47036.3 3521.57   4\r\n   8   1  -5 49498.5 3909.71   7\r\n  -8   1   5 44679.5 2487.05   4\r\n  -8   1   5 45926.1 3114.34   2\r\n   8   1  -5 50345.0 3069.57   5\r\n  -8  -1  -4 12407.6 1598.62   4\r\n  -8  -1  -4 12234.8 2181.20   3\r\n   8  -1   4 9893.45 1606.42   4\r\n  -8   1   4 11496.2 1169.19   4\r\n  -8   1   4 11997.8 1569.80   2\r\n   8  -1   4 9970.95 1228.74   6\r\n   8  -1   4 14445.7 1650.67   7\r\n   8   1  -4 10822.7 1643.87   2\r\n   8   1  -4 10858.0 1278.21   5\r\n   8   1  -4 8829.55 1565.28   7\r\n  -8  -1  -3 51057.3 3563.62   3\r\n  -8   1   3 49971.2 2758.44   2\r\n   8   1  -3 48706.0 1814.17   1\r\n  -8  -1  -3 48880.3 2807.91   4\r\n   8  -1   3 48298.5 2876.23   4\r\n  -8   1   3 48403.9 2010.61   4\r\n   8  -1   3 48938.1 2494.03   7\r\n  -8   1   3 50285.7 2614.76   7\r\n  -8  -1  -3 47411.3 1629.70   6\r\n   8  -1   3 44212.9 2323.19   6\r\n   8   1  -3 50053.4 2958.19   2\r\n   8   1  -3 49133.3 2869.46   7\r\n   8   1  -3 45960.7 2077.14   5\r\n  -8  -1  -2 62206.9 3273.23   3\r\n   8   1  -2 62435.2 2706.92   7\r\n  -8  -1  -2 66019.2 2883.83   4\r\n  -8   1   2 59661.3 2039.33   4\r\n   8  -1   2 64037.7 2185.08   2\r\n   8  -1   2 56532.0 2141.25   7\r\n  -8   1   2 65591.0 2846.03   2\r\n   8  -1   2 61779.8 2632.49   6\r\n  -8  -1  -2 61719.2 2119.88   6\r\n  -8   1   2 66577.0 2449.98   7\r\n   8   1  -2 60942.6 1815.24   5\r\n  -8  -1  -1 16161.1 1334.58   4\r\n  -8   1   1 16851.7 1113.99   4\r\n   8  -1   1 14677.7 1114.46   2\r\n  -8   1   1 13791.5 1256.02   2\r\n   8   1  -1 11983.1 1156.41   7\r\n  -8   1   1 14278.5 973.845   7\r\n  -8  -1  -1 15663.4 1038.93   2\r\n  -8   1   0 5041.48 710.586   4\r\n   8  -1   0 5112.40 727.585   4\r\n  -8   1   0 5666.62 792.722   2\r\n  -8  -1   0 5192.14 773.816   2\r\n  -8  -1   0 4664.27 704.121   4\r\n   8   1   0 5330.04 772.900   2\r\n  -8   1   0 4331.80 807.418   6\r\n  -8  -1   1 14966.5 1249.07   4\r\n   8  -1  -1 15726.3 1088.28   4\r\n   8  -1  -1 14281.6 1018.38   7\r\n  -8  -1   1 14014.7 1322.50   2\r\n  -8   1  -1 17354.7 1425.54   4\r\n   8   1   1 14271.9 1048.43   2\r\n  -8   1  -1 16105.6 1365.75   6\r\n   8   1   1 16806.5 1235.04   5\r\n   8  -1  -2 58475.5 2788.40   2\r\n  -8   1  -2 60721.1 2966.27   4\r\n  -8   1  -2 55714.6 2462.69   6\r\n   8  -1  -2 63309.9 2435.19   1\r\n   8   1   2 62522.3 2688.65   4\r\n  -8  -1   2 55344.1 2838.21   2\r\n   8   1   2 63751.0 1739.68   2\r\n   8   1   2 61790.8 2860.25   5\r\n   8  -1  -2 62983.4 2240.70   4\r\n   8  -1  -2 66494.0 2711.62   7\r\n  -8  -1   2 59106.0 2598.84   4\r\n   8  -1  -2 57740.5 2336.92   5\r\n   8  -1  -3 47874.8 2775.47   2\r\n   8  -1  -3 48166.0 2352.87   1\r\n   8   1   3 48697.3 2662.17   4\r\n   8  -1  -3 47496.6 2794.59   7\r\n  -8  -1   3 43594.8 2756.39   2\r\n  -8   1  -3 48053.6 2372.87   6\r\n   8   1   3 54677.4 3081.05   5\r\n  -8  -1   3 47131.4 2648.08   4\r\n   8  -1  -3 48385.5 2509.77   5\r\n   8   1   4 10759.8 1557.35   4\r\n  -8   1  -4 5101.77 1765.03   3\r\n   8  -1  -4 12400.0 1603.75   2\r\n  -8  -1   4 10093.2 1481.08   4\r\n  -8  -1   4 11271.9 1611.57   2\r\n   8  -1  -4 11836.6 1785.15   7\r\n   8  -1  -4 12227.1 1325.85   1\r\n   8  -1  -4 10404.3 1495.18   5\r\n   8   1   5 45267.2 3204.14   4\r\n   8  -1  -5 42425.6 3656.41   7\r\n  -8  -1   5 43440.3 3259.40   2\r\n   8  -1  -5 46343.2 3356.18   5\r\n  -8  -1   5 46365.4 2734.56   5\r\n   8  -1  -6 8901.13 1893.52   5\r\n  -8  -1   6 5809.39 1524.26   2\r\n   8   1   6 9349.17 1780.56   4\r\n   8  -1  -6 9488.41 2147.67   7\r\n  -8  -1   7 5155.41 1330.48   2\r\n   8  -1  -7 3462.43 1322.43   7\r\n   8   1   7 3413.37 1243.84   4\r\n  -8   2   7 5255.28 1166.60   1\r\n   8   2  -7 4839.98 1670.19   7\r\n   8  -2   7 6527.00 1879.43   4\r\n   8  -2   6 884.536 566.028   2\r\n   8   2  -6-382.796 944.027   7\r\n   8  -2   6-2648.19 1335.69   4\r\n  -8   2   6 137.582 638.190   1\r\n  -8   2   6-537.686 642.682   2\r\n  -8   2   6 289.563 624.996   6\r\n   8   2  -6 126.289 730.606   5\r\n  -8  -2  -6 817.286 955.874   5\r\n  -8   2   5 1589.35 771.496   2\r\n  -8   2   5 907.424 725.017   1\r\n   8  -2   5 1795.35 1074.56   4\r\n   8  -2   5 1245.48 801.244   6\r\n  -8   2   5 1694.24 452.610   4\r\n   8   2  -5 768.180 798.986   7\r\n  -8  -2  -5 971.592 1010.34   5\r\n   8   2  -5 1425.59 704.835   5\r\n  -8  -2  -4 21035.8 2035.19   4\r\n   8  -2   4 18638.9 2238.41   4\r\n  -8  -2  -4 18141.5 2658.61   3\r\n  -8   2   4 18271.7 1126.78   4\r\n   8  -2   4 20758.9 1932.43   6\r\n  -8   2   4 18368.1 1840.03   2\r\n   8   2  -4 18005.0 2178.88   7\r\n  -8  -2  -4 17079.0 2094.41   5\r\n  -8   2   4 18726.3 1769.18   1\r\n   8  -2   4 22433.8 1990.98   7\r\n   8   2  -4 18291.0 1458.21   5\r\n  -8  -2  -3 34445.9 2959.29   3\r\n   8   2  -3 35190.6 1264.92   1\r\n   8  -2   3 35877.2 2635.43   4\r\n  -8  -2  -3 38861.7 2463.43   4\r\n  -8   2   3 36742.1 1380.12   4\r\n  -8   2   3 32410.9 2226.27   2\r\n   8  -2   3 35878.3 2094.46   7\r\n   8   2  -3 43545.9 2755.17   7\r\n  -8  -2  -3 36992.8 1201.59   6\r\n   8  -2   3 37804.1 2434.54   6\r\n   8  -2   3 38209.8 2641.11   5\r\n  -8  -2  -3 39299.7 2692.19   5\r\n   8   2  -3 39228.5 1592.14   5\r\n  -8   2   3 37852.3 2334.16   7\r\n  -8  -2  -2 25589.2 2230.75   3\r\n   8  -2   2 30024.0 1507.94   7\r\n  -8   2   2 30708.5 2139.85   6\r\n  -8  -2  -2 31130.2 2049.26   4\r\n  -8   2   2 29239.4 1276.35   4\r\n  -8   2   2 30820.1 1712.93   7\r\n   8   2  -2 31360.5 2053.98   7\r\n  -8  -2  -2 31619.0 1231.98   2\r\n   8  -2   2 30796.1 2108.10   6\r\n  -8   2   2 31764.4 2021.44   2\r\n  -8  -2  -2 27028.0 1942.18   5\r\n   8   2  -2 28426.4 854.881   5\r\n  -8   2   1 227720. 3941.67   4\r\n   8  -2   1 238793. 5234.98   4\r\n  -8  -2  -1 242453. 5155.71   4\r\n  -8   2   1 240216. 3395.44   7\r\n  -8  -2  -1 233698. 4231.69   2\r\n  -8   2   1 238916. 5559.09   6\r\n   8  -2   1 231338. 2659.24   7\r\n  -8  -2   0 99816.9 3217.12   2\r\n  -8   2   0 100480. 3061.37   4\r\n   8  -2   0 94329.3 2853.59   4\r\n  -8  -2   0 99932.0 3314.69   4\r\n   8  -2   0 100129. 1533.52   7\r\n  -8   2   0 102329. 3601.95   6\r\n   8   2   0 99517.0 3269.58   2\r\n   8   2   0 102920. 2347.26   5\r\n  -8   2  -1 238423. 5445.17   4\r\n   8  -2  -1 231646. 3793.37   4\r\n  -8  -2   1 243286. 5336.75   4\r\n   8  -2  -1 249983. 3934.36   7\r\n   8  -2  -1 247169. 4916.34   1\r\n  -8  -2   1 232115. 5439.93   2\r\n  -8   2  -1 227211. 5395.03   6\r\n   8   2   1 238402. 5080.29   4\r\n   8   2   1 230715. 4598.38   5\r\n  -8   2  -1 237623. 5897.84   3\r\n  -8   2  -2 30091.4 2563.84   3\r\n   8  -2  -2 32246.8 1949.66   1\r\n   8   2   2 31544.1 1978.12   4\r\n  -8  -2   2 30880.9 2134.26   4\r\n   8  -2  -2 28196.0 2051.08   2\r\n  -8  -2   2 27192.2 2145.13   2\r\n  -8   2  -2 30887.8 2089.68   6\r\n   8  -2  -2 29910.7 1871.34   7\r\n   8  -2  -2 29397.0 1310.76   4\r\n   8   2   2 32580.2 2159.02   5\r\n   8  -2  -2 31332.8 1952.36   5\r\n   8  -2  -3 38362.9 2371.80   1\r\n  -8   2  -3 37034.4 3325.30   3\r\n   8   2   3 37373.4 2274.94   4\r\n  -8  -2   3 32228.6 2498.08   4\r\n  -8  -2   3 33939.0 2578.17   2\r\n  -8   2  -3 36067.7 2390.40   6\r\n   8  -2  -3 36618.0 2495.39   7\r\n   8  -2  -3 37076.8 2489.87   2\r\n   8   2   3 38071.7 2674.71   5\r\n   8  -2  -3 35081.6 2377.78   5\r\n  -8  -2   4 18465.4 2152.03   2\r\n   8   2   4 18504.0 1854.77   4\r\n   8  -2  -4 16190.9 1963.27   7\r\n   8  -2  -4 17610.4 1881.62   2\r\n   8  -2  -4 19351.4 1826.19   1\r\n   8  -2  -4 18336.9 2048.88   5\r\n  -8  -2   4 19894.4 1408.76   5\r\n   8  -2  -5 330.433 760.983   5\r\n  -8  -2   5 241.952 700.953   5\r\n  -8  -2   5 3104.15 1088.95   2\r\n   8  -2  -5-158.738 1082.71   7\r\n   8   2   5 1141.97 855.817   4\r\n   8  -2  -6 992.916 1138.94   5\r\n  -8  -2   6 610.804 949.599   2\r\n   8  -2  -6 271.861 1247.08   7\r\n   8   2   6-424.093 1015.69   4\r\n   8  -2  -7 1367.52 1390.19   5\r\n  -8  -2   7 6083.76 1595.74   2\r\n   8  -2  -7 5205.05 1835.22   7\r\n   8   2   7 5289.40 1444.20   4\r\n   8  -3   6 659.651 1442.98   4\r\n   8   3  -6 972.213 732.590   7\r\n  -8   3   6 2303.12 814.989   6\r\n  -8   3   6 1077.56 977.327   1\r\n  -8  -3  -6 261.774 889.990   5\r\n  -8  -3  -5 2088.00 1090.16   5\r\n  -8   3   5 3302.75 1163.51   1\r\n   8  -3   5 4631.65 1400.50   4\r\n   8   3  -5 2887.32 1301.80   7\r\n  -8   3   5 2275.17 894.810   6\r\n  -8  -3  -4 73440.6 4842.27   3\r\n   8  -3   4 67978.8 4279.21   4\r\n  -8  -3  -4 70830.7 3581.77   4\r\n   8  -3   4 63853.1 3160.69   7\r\n  -8   3   4 66052.0 3432.19   1\r\n  -8   3   4 68276.2 3582.71   6\r\n   8  -3   4 66273.1 3751.40   6\r\n  -8  -3  -4 66458.8 4052.93   5\r\n   8   3  -4 71556.8 4215.95   7\r\n  -8  -3  -3 7931.59 1361.32   5\r\n   8   3  -3 6544.66 375.860   1\r\n  -8   3   3 7285.11 1170.10   1\r\n   8  -3   3 6538.42 909.568   7\r\n  -8  -3  -3 7126.06 1442.85   3\r\n  -8  -3  -3 9118.46 1238.98   4\r\n   8   3  -3 7431.45 1283.61   7\r\n   8  -3   3 6619.21 1345.42   4\r\n  -8   3   3 7428.22 1163.46   7\r\n   8  -3   3 8443.35 1346.14   6\r\n  -8   3   3 7945.36 1273.80   6\r\n  -8  -3  -2 6337.59 1208.34   3\r\n  -8  -3  -2 8251.61 1131.77   4\r\n  -8   3   2 6610.15 886.918   7\r\n   8  -3   2 7912.18 700.523   7\r\n  -8  -3  -2 8829.61 831.966   2\r\n   8   3  -2 7521.83 1168.27   7\r\n   8  -3   2 8456.82 1310.73   4\r\n   8  -3   2 7495.94 1229.25   6\r\n  -8   3   2 6858.34 1117.65   6\r\n  -8  -3  -2 7928.04 1163.96   5\r\n  -8  -3  -1 1196.62 473.873   5\r\n   8  -3   1 1890.33 654.866   4\r\n  -8  -3  -1 1670.23 545.513   2\r\n  -8   3   1 1775.52 350.121   7\r\n  -8  -3  -1 2278.82 654.586   4\r\n  -8   3   1 2213.48 752.200   6\r\n   8  -3   0 131134. 3578.52   4\r\n  -8  -3   0 132806. 4102.69   4\r\n  -8   3   0 128796. 4455.42   6\r\n  -8  -3   0 124160. 3929.48   2\r\n   8  -3   0 123353. 3646.53   1\r\n   8   3   0 122599. 2536.10   5\r\n   8   3   1 1563.96 532.200   5\r\n  -8   3  -1 1370.18 621.526   3\r\n  -8  -3   1 1101.17 718.708   2\r\n   8  -3  -1 1517.16 514.754   1\r\n   8  -3  -1 2013.80 468.333   4\r\n  -8   3  -1 2041.28 745.817   6\r\n   8   3   1 1940.75 741.959   4\r\n  -8  -3   1 1529.79 541.496   4\r\n   8  -3  -2 7536.43 1169.62   5\r\n  -8   3  -2 8591.41 1564.15   3\r\n  -8  -3   2 6768.54 1239.97   2\r\n   8  -3  -2 8130.63 964.717   7\r\n   8  -3  -2 6999.15 1106.24   1\r\n  -8   3  -2 7860.35 1221.26   6\r\n   8  -3  -2 7852.10 594.841   4\r\n   8  -3  -2 8022.38 1141.28   2\r\n   8   3   2 7972.99 1132.55   4\r\n  -8  -3   2 7658.47 1254.54   4\r\n   8   3   2 7755.00 1127.62   5\r\n   8   3   3 7417.54 1346.05   5\r\n   8  -3  -3 6722.25 1260.88   5\r\n  -8   3  -3 5624.69 1584.39   3\r\n   8  -3  -3 7335.05 1181.00   7\r\n  -8   3  -3 6333.13 1163.86   6\r\n  -8  -3   3 4990.25 1196.93   2\r\n   8   3   3 6630.55 1107.98   4\r\n   8  -3  -3 9490.60 1336.99   2\r\n   8  -3  -3 6826.93 1218.63   1\r\n   8  -3  -4 62273.6 3618.02   2\r\n   8   3   4 68723.0 3390.39   4\r\n   8  -3  -4 67359.8 3905.17   7\r\n  -8  -3   4 61856.8 3986.34   2\r\n   8  -3  -4 65673.3 3901.63   5\r\n  -8  -3   4 70704.0 2188.81   5\r\n   8  -3  -5 3301.93 1201.17   5\r\n  -8  -3   5 3698.94 1000.23   2\r\n   8  -3  -5 3400.68 1350.17   7\r\n   8   3   5 3965.11 1061.93   4\r\n   8  -3  -6 2357.84 1024.20   5\r\n  -8  -3   6 1931.54 1193.67   2\r\n   8   3   6 1954.25 914.610   4\r\n  -8  -4  -6 2547.32 1027.10   5\r\n   8  -4   6 2019.97 1355.45   4\r\n  -8   4   6 2778.74 1224.83   1\r\n   8   4  -6 2243.07 1390.13   7\r\n  -8  -4  -5 1760.62 841.807   5\r\n   8  -4   5 464.036 1259.15   4\r\n   8   4  -5-96.5723 1140.84   7\r\n  -8   4   5 1986.82 767.757   6\r\n  -8   4   5 2394.71 1136.20   1\r\n  -8  -4  -4 3902.18 1261.07   5\r\n   8   4  -4 3553.77 1348.31   7\r\n  -8  -4  -4 492.350 1056.11   3\r\n  -8  -4  -4 4363.93 819.948   4\r\n   8  -4   4 5721.81 1554.51   4\r\n  -8   4   4 5193.74 1347.50   1\r\n  -8   4   4 4487.13 1136.22   6\r\n   8  -4   4 5702.46 1008.89   7\r\n  -8  -4  -3 19764.2 2316.35   3\r\n   8   4  -3 19746.0 2152.44   7\r\n   8  -4   3 21251.1 2432.49   4\r\n  -8  -4  -3 20686.7 1889.60   4\r\n  -8   4   3 22281.6 1959.77   7\r\n   8  -4   3 20983.0 1410.93   7\r\n  -8   4   3 20457.9 2015.71   1\r\n  -8  -4  -3 21071.4 1185.79   2\r\n  -8  -4  -3 21442.2 1256.50   6\r\n  -8   4   3 20119.5 2058.09   6\r\n  -8  -4  -3 19210.1 2178.10   5\r\n  -8  -4  -2 17124.3 1836.39   3\r\n   8  -4   2 18311.1 2030.63   4\r\n  -8  -4  -2 20746.7 1768.68   4\r\n  -8  -4  -2 20606.1 1487.32   2\r\n  -8   4   2 17018.0 1406.60   7\r\n   8   4  -2 18823.6 1825.34   7\r\n  -8   4   2 19892.5 2005.51   6\r\n  -8  -4  -2 20423.8 1877.08   5\r\n  -8   4   1 41006.4 1518.13   7\r\n   8  -4   1 42145.0 2595.26   4\r\n  -8  -4  -1 39227.4 2453.23   4\r\n  -8   4   1 39231.4 2761.28   6\r\n   8  -4   1 39757.2 2251.10   1\r\n  -8  -4  -1 40620.5 2327.19   2\r\n  -8  -4  -1 40732.2 2197.84   5\r\n  -8   4   0 101197. 3621.37   3\r\n   8   4   0 108268. 4453.78   4\r\n   8  -4   0 104442. 3461.82   4\r\n   8  -4   0 103697. 3695.05   1\r\n  -8   4   0 107812. 4448.04   6\r\n  -8  -4   0 103405. 4043.25   2\r\n  -8  -4   0 110484. 4092.23   4\r\n  -8  -4   0 105015. 2673.83   5\r\n   8   4   0 106336. 2430.27   5\r\n  -8   4  -1 40406.6 2711.34   3\r\n   8  -4  -1 44770.2 2581.19   1\r\n  -8  -4   1 38907.9 2740.00   2\r\n   8  -4  -1 39311.2 1758.72   4\r\n   8  -4  -1 41161.4 2519.87   2\r\n   8   4   1 40923.6 2618.90   4\r\n   8  -4  -1 41324.9 2801.53   6\r\n  -8   4  -1 38343.0 2823.66   6\r\n  -8  -4   1 42413.1 2731.07   4\r\n   8   4   1 39169.4 2056.39   5\r\n  -8   4  -2 20183.6 2324.18   3\r\n   8  -4  -2 19064.5 1848.76   2\r\n   8  -4  -2 20552.8 852.357   4\r\n   8   4   2 19900.9 1803.25   4\r\n  -8   4  -2 20043.2 2124.94   6\r\n  -8  -4   2 21252.8 2184.69   2\r\n   8   4   2 20404.7 1828.76   5\r\n   8  -4  -2 20637.2 1958.33   5\r\n  -8  -4   3 19446.6 2314.09   2\r\n   8   4   3 19259.1 1823.76   4\r\n   8  -4  -3 22168.5 2248.72   5\r\n   8   4   4 5618.99 1228.90   4\r\n   8  -4  -4 5262.53 1431.63   5\r\n  -8  -4   4 4234.66 1358.34   2\r\n   8  -4  -5 557.101 1063.13   5\r\n  -8  -4   5 1689.37 1044.24   2\r\n   8   4   5 2533.04 766.129   4\r\n   8  -4  -6 2853.07 1605.17   5\r\n  -8  -4   6 5021.05 1371.70   2\r\n  -8  -5  -6 4109.23 1739.84   5\r\n   8  -5   6-715.017 1588.24   4\r\n   8   5  -6 5081.86 1572.96   7\r\n  -8   5   6 1944.07 1248.33   1\r\n  -8  -5  -5 2999.93 1200.73   5\r\n   8  -5   5 2415.33 1361.91   4\r\n  -8   5   5 4908.62 1018.85   6\r\n   8   5  -5 4306.64 1325.81   7\r\n  -8   5   5 3803.47 1291.98   1\r\n  -8  -5  -4 1815.40 972.191   5\r\n   8  -5   4 169.223 813.615   4\r\n   8   5  -4 1147.45 756.338   7\r\n  -8  -5  -4 508.885 653.648   4\r\n  -8   5   4 625.665 785.041   1\r\n  -8   5   4 729.777 768.794   6\r\n   8   5  -3 24104.2 2455.04   7\r\n  -8  -5  -3 24076.1 2494.63   3\r\n   8  -5   3 24318.7 2703.31   4\r\n  -8  -5  -3 24938.2 2095.34   4\r\n  -8   5   3 27361.5 2272.35   7\r\n   8  -5   3 22936.3 1772.14   1\r\n  -8   5   3 21707.9 2269.40   6\r\n  -8  -5  -3 26035.6 1662.25   2\r\n  -8   5   3 24326.2 2331.64   1\r\n  -8  -5  -3 25812.2 1672.31   6\r\n  -8  -5  -3 23279.9 2390.31   5\r\n  -8  -5  -2 27882.4 2274.30   3\r\n   8  -5   2 25796.8 2540.64   4\r\n  -8  -5  -2 27022.1 2121.80   4\r\n   8  -5   2 25362.1 1960.66   1\r\n  -8   5   2 27198.2 1851.21   7\r\n  -8  -5  -2 28442.4 2072.06   2\r\n  -8   5   2 25545.6 2463.27   6\r\n   8   5  -2 29678.0 2494.43   7\r\n  -8  -5  -2 27836.5 2326.28   5\r\n   8   5  -2 25552.0 1312.69   1\r\n   8  -5   1 23396.8 2145.54   4\r\n   8  -5   1 25866.3 1987.32   1\r\n  -8  -5  -1 21441.5 1934.05   4\r\n  -8   5   1 24657.3 1307.38   7\r\n  -8   5   1 23128.9 2361.60   6\r\n  -8  -5  -1 24460.9 1887.92   5\r\n  -8  -5   0 445.627 414.610   5\r\n  -8   5   0 525.086 465.264   3\r\n   8  -5   0 649.470 547.115   1\r\n   8  -5   0 928.518 489.697   4\r\n  -8   5   0 1229.63 681.476   6\r\n  -8  -5   0 1155.08 710.532   4\r\n  -8   5  -1 23285.3 2226.77   3\r\n   8  -5  -1 26113.5 1593.33   4\r\n   8   5   1 17868.2 2155.29   4\r\n  -8   5  -1 21596.3 2394.71   6\r\n  -8  -5   1 22177.8 855.118   5\r\n  -8  -5   1 24585.5 2476.32   2\r\n   8   5   1 23936.6 1680.99   5\r\n  -8  -5   2 29747.8 2847.35   2\r\n   8  -5  -2 26191.2 997.311   4\r\n   8   5   2 28345.0 2401.40   4\r\n  -8   5  -2 22274.8 2512.25   6\r\n   8   5   2 25334.2 2102.00   5\r\n   8  -5  -2 27857.4 2430.90   5\r\n  -8   5  -3 26364.0 1740.08   7\r\n   8   5   3 24563.1 2195.66   4\r\n  -8  -5   3 23753.2 2728.50   2\r\n   8  -5  -3 23822.4 2439.38   5\r\n   8  -5  -4-274.243 1027.17   5\r\n  -8  -5   4-1772.05 1140.37   2\r\n   8   5   4 639.016 672.002   4\r\n  -8   5  -4 1048.75 571.445   7\r\n   8  -5  -5 2755.43 1272.51   5\r\n  -8  -5   5 4673.55 1264.52   2\r\n   8   5   5 3231.03 927.577   4\r\n   8  -5  -6 6363.11 1746.42   5\r\n  -8  -5   6 5437.35 1562.27   2\r\n   8   5   6 4028.34 1539.05   1\r\n  -8  -6  -5-3620.49 1465.53   5\r\n   8   6  -5-72.6462 967.708   7\r\n   8  -6   5-2453.60 1624.30   4\r\n  -8   6   5 515.378 1086.71   1\r\n  -8  -6  -4 2502.25 1232.75   5\r\n   8  -6   4 2670.11 1307.92   4\r\n  -8   6   4 1868.49 1180.03   1\r\n   8   6  -4 874.400 880.177   7\r\n  -8   6   4 494.638 513.141   6\r\n  -8  -6  -3 2502.04 978.987   5\r\n   8   6  -3 1194.75 952.792   7\r\n   8  -6   3 1111.52 639.465   1\r\n  -8  -6  -3 1382.01 892.122   3\r\n  -8   6   3 3412.29 914.901   7\r\n  -8   6   3 2856.38 1117.54   6\r\n   8  -6   3 1459.82 1284.67   4\r\n  -8  -6  -3 2302.21 841.362   4\r\n  -8  -6  -3 2085.06 714.156   2\r\n  -8   6   3 1275.26 824.065   1\r\n  -8  -6  -2 4438.67 1172.28   5\r\n  -8  -6  -2 5369.54 1153.33   3\r\n   8   6  -2 5267.57 734.902   1\r\n   8  -6   2 6115.91 1504.20   4\r\n  -8   6   2 5520.25 972.471   7\r\n   8   6  -2 5817.63 1444.27   7\r\n  -8  -6  -2 5766.59 1202.57   4\r\n  -8  -6  -2 5730.90 1070.12   6\r\n  -8   6   2 5491.24 1415.21   6\r\n  -8   6   1 28346.1 1596.84   3\r\n   8  -6   1 27660.3 2554.77   4\r\n  -8   6   1 30012.2 1589.04   7\r\n  -8   6   1 23037.1 2602.67   6\r\n  -8  -6  -1 25622.4 2099.75   5\r\n   8   6  -1 27029.1 1868.86   1\r\n  -8   6   0 19535.7 1691.83   3\r\n   8   6   0 16168.9 1646.04   1\r\n   8  -6   0 17051.0 1772.92   4\r\n  -8   6   0 16146.1 2286.87   6\r\n  -8  -6   0 16571.3 1429.37   5\r\n   8  -6  -1 28834.6 1874.02   4\r\n  -8   6  -1 26954.5 2857.18   6\r\n  -8  -6   1 30186.4 1359.18   5\r\n   8  -6  -2 5935.90 603.355   4\r\n   8  -6  -2 4980.84 1278.44   5\r\n   8  -6  -2 5427.40 539.112   4\r\n  -8   6  -2 6142.66 564.476   7\r\n  -8  -6   2 5765.66 1500.15   2\r\n   8   6   2 5344.16 1374.40   4\r\n   8  -6  -3 632.580 911.449   5\r\n  -8   6  -3 1800.27 530.013   7\r\n  -8  -6   3 2879.18 1362.11   2\r\n   8   6   3 499.126 845.711   4\r\n   8  -6  -4 2957.01 1219.68   5\r\n  -8   6  -4 1143.02 593.887   7\r\n   8   6   4 667.912 1013.67   1\r\n  -8  -6   4 1858.10 1127.19   2\r\n   8   6   4 935.502 777.287   4\r\n   8  -6  -5 1354.28 964.267   5\r\n   8   6   5 915.014 721.909   1\r\n  -8  -7  -4 4674.76 1405.36   5\r\n   8  -7   4 4509.03 1813.28   4\r\n   8   7  -4 3761.11 1375.25   7\r\n  -8   7   4 6715.37 1664.00   1\r\n  -8   7   4 6601.12 1499.04   6\r\n  -8  -7  -3 5703.27 1417.94   5\r\n   8  -7   3 6167.72 1862.47   4\r\n  -8   7   3 5878.96 1457.31   1\r\n  -8   7   3 4509.09 1550.10   6\r\n   8   7  -3 3932.22 1252.27   7\r\n  -8  -7  -3 5065.56 1181.31   2\r\n  -8  -7  -2 13117.8 1915.61   5\r\n   8   7  -2 15397.3 1291.75   1\r\n   8   7  -2 16122.3 2084.43   7\r\n   8  -7   2 14165.3 2345.42   4\r\n  -8   7   2 13426.4 2203.96   6\r\n  -8  -7  -1 775.603 596.184   5\r\n   8   7  -1 610.240 467.503   1\r\n   8  -7   1 1097.66 863.553   4\r\n  -8   7   1 624.311 789.973   6\r\n  -8  -7   0 3897.50 859.606   5\r\n  -8   7   0 4799.65 1280.77   6\r\n   8   7   0 4906.85 1030.97   1\r\n   8  -7   0 3771.64 983.886   4\r\n  -8  -7   1 661.266 253.030   5\r\n   8  -7  -1 162.591 568.117   4\r\n   8   7   1 1125.13 718.930   1\r\n   8  -7  -2 15548.2 2303.47   5\r\n  -8  -7   2 18510.2 2733.36   2\r\n   8   7   2 16525.4 2207.93   1\r\n   8  -7  -3 7228.87 1759.65   5\r\n   8   7   3 3985.86 1270.52   1\r\n  -8  -7   3 6888.30 1808.26   2\r\n   8  -7  -4 5905.04 1563.96   5\r\n   8   7   4 3893.15 1499.19   1\r\n  -8  -7   4 4364.76 1677.30   2\r\n  -8  -8  -3 666.035 665.009   5\r\n   8  -8   3 85.3721 1232.80   4\r\n   8   8  -3-948.553 1011.96   7\r\n  -8   8   3-448.170 557.098   6\r\n  -8  -8  -2-134.301 561.124   5\r\n   8  -8   2 765.113 1256.32   4\r\n   8   8  -2 135.050 1046.34   7\r\n  -8   8   2-286.737 1120.78   6\r\n  -8  -8  -1 7385.84 1486.44   5\r\n   8  -8   1 9976.40 1819.99   4\r\n   8   8  -1 8243.69 1292.21   1\r\n  -8  -8   0 7550.76 1182.34   5\r\n   8   8   0 7866.31 1411.84   1\r\n   8  -8   0 8551.20 1483.64   4\r\n   8  -8  -1 8581.55 1937.96   5\r\n   8   8   1 7896.78 1620.19   1\r\n   8  -8  -2 165.860 846.985   5\r\n  -8  -8   2 1150.97 1374.45   2\r\n   8   8   2 1185.90 1020.13   1\r\n   8  -8  -3 21.0683 422.458   5\r\n  -8  -8   3 551.148 1105.65   2\r\n   8   8   3 1375.96 1085.87   1\r\n   8  -9   1 3871.20 1390.55   4\r\n   8   9  -1 1984.91 1333.62   7\r\n   8  -9   0-1114.40 993.586   5\r\n   8   9   0 632.652 886.838   1\r\n   8  -9  -1 672.593 1055.04   5\r\n   8   9   1 3724.38 1288.04   1\r\n   9   0   0-495.965 377.623   2\r\n  -9   0   0-153.904 217.827   4\r\n  -9   0   0-182.844 436.887   2\r\n  -9   0   1 2810.13 739.719   2\r\n   9   0   1 3691.88 629.681   2\r\n  -9   0  -1 3808.94 793.492   4\r\n   9   0  -1 2484.31 611.377   7\r\n  -9   0   1 2491.36 534.002   4\r\n  -9   0  -1 3288.69 600.480   2\r\n   9   0  -1 2434.30 720.233   4\r\n  -9   0  -1 2838.52 721.840   6\r\n  -9   0   2 1354.85 751.227   2\r\n   9   0  -2 659.645 404.256   1\r\n   9   0  -2 900.446 460.673   5\r\n  -9   0   2 2217.17 710.273   7\r\n  -9   0  -2 916.028 661.276   4\r\n   9   0  -2 388.941 646.958   7\r\n  -9   0   2 1201.31 484.411   4\r\n  -9   0  -2 741.234 465.901   6\r\n   9   0  -2 1420.12 636.919   4\r\n   9   0   2 940.256 394.301   2\r\n  -9   0  -3 33604.3 3029.41   3\r\n   9   0  -3 33216.6 1793.00   1\r\n  -9   0   3 32964.0 2214.67   7\r\n  -9   0  -3 33783.6 2487.78   4\r\n   9   0   3 32192.2 2329.78   4\r\n  -9   0  -3 31952.4 1766.04   6\r\n   9   0   3 29136.1 2009.74   7\r\n  -9   0   3 33770.9 1994.30   4\r\n   9   0  -3 35176.0 2458.04   7\r\n   9   0   3 32284.3 1416.68   2\r\n  -9   0   3 30753.6 2317.65   2\r\n   9   0  -3 34007.1 2454.13   2\r\n   9   0  -3 33414.1 1966.97   5\r\n  -9   0  -4 13843.9 2378.13   3\r\n   9   0   4 15717.0 1861.60   4\r\n  -9   0   4 13096.5 1494.36   4\r\n  -9   0   4 13281.3 1730.86   2\r\n   9   0   4 14579.7 853.986   2\r\n   9   0  -4 14620.2 1892.74   7\r\n   9   0  -4 13382.9 1554.65   5\r\n   9   0  -4 13801.4 1288.49   1\r\n  -9   0   5 444.535 635.222   2\r\n   9   0  -5 62.6454 602.533   5\r\n   9   0  -5 494.056 767.012   7\r\n   9   0   5 1068.02 999.328   4\r\n  -9   0   5 556.958 507.589   4\r\n   9   0  -6 1591.14 896.864   5\r\n   9   0  -6-119.597 1185.30   7\r\n   9   0   6-72.1309 870.440   4\r\n  -9   0   6 524.693 724.529   2\r\n   9   0  -7-645.773 752.877   5\r\n   9   0  -7-1705.81 1384.71   7\r\n   9   0   7 209.607 626.896   4\r\n  -9   0   7 305.237 577.722   2\r\n   9   1  -7 2650.37 1081.00   5\r\n   9   1  -7 2678.84 1590.16   7\r\n  -9   1   7 5321.44 1147.81   2\r\n   9  -1   7 1397.46 1409.18   4\r\n   9   1  -6 7064.57 1556.75   5\r\n   9  -1   6 7136.20 1716.51   4\r\n   9   1  -6 7600.11 1971.36   7\r\n  -9   1   6 9699.69 1559.77   2\r\n   9   1  -5 6878.55 1357.36   5\r\n   9  -1   5 6277.13 1610.12   4\r\n   9   1  -5 7074.46 1782.84   7\r\n   9  -1   5 7455.81 1180.11   6\r\n  -9   1   5 7116.74 1069.62   4\r\n  -9   1   5 6661.27 1410.11   2\r\n  -9  -1  -4 19328.4 2799.20   3\r\n   9   1  -4 22004.0 2362.84   7\r\n  -9  -1  -4 24656.9 2357.47   4\r\n   9  -1   4 19203.7 2209.85   4\r\n  -9   1   4 21752.4 1583.79   4\r\n   9  -1   4 22383.3 2053.57   7\r\n  -9   1   4 21049.0 2101.57   2\r\n   9  -1   4 22112.4 1803.94   6\r\n   9   1  -4 22639.7 1808.71   5\r\n   9   1  -4 22044.7 1407.95   1\r\n  -9  -1  -3 28244.3 2726.90   3\r\n   9   1  -3 26830.5 1453.86   1\r\n  -9  -1  -3 28006.2 2226.95   4\r\n   9  -1   3 25370.0 2184.28   4\r\n   9  -1   3 26627.7 1509.62   2\r\n  -9   1   3 23272.6 1496.77   4\r\n   9   1  -3 22126.6 2108.76   7\r\n  -9   1   3 28078.3 1968.28   7\r\n  -9   1   3 26079.6 2098.56   2\r\n  -9  -1  -3 26628.5 1416.43   6\r\n   9   1  -3 26639.9 2300.65   2\r\n   9  -1   3 28620.3 1975.39   6\r\n   9  -1   3 25486.3 1828.57   7\r\n   9   1  -3 25302.6 1569.32   5\r\n  -9  -1  -2 820.857 776.520   3\r\n   9   1  -2 285.838 265.660   5\r\n   9  -1   2 507.092 374.284   7\r\n   9  -1   2 323.906 390.330   2\r\n  -9  -1  -2 1368.53 483.202   4\r\n   9   1  -2 373.677 642.342   7\r\n  -9   1   2 540.503 446.868   7\r\n  -9   1   2 534.431 290.792   4\r\n  -9  -1  -2 687.574 278.783   2\r\n  -9  -1  -2 672.765 436.550   6\r\n   9  -1   2 719.732 493.089   6\r\n  -9   1   2 1020.35 759.115   2\r\n   9   1  -2 652.900 648.398   4\r\n   9   1  -1 1702.69 661.937   7\r\n  -9  -1  -1 1535.14 620.700   4\r\n  -9   1   1 1926.52 504.691   4\r\n  -9   1   1 1356.07 627.448   2\r\n   9  -1   1 2054.95 547.347   2\r\n  -9  -1  -1 2151.57 472.568   2\r\n  -9   1   0 27396.6 1648.71   4\r\n   9  -1   0 25175.9 1544.64   4\r\n  -9  -1   0 26953.9 1705.53   4\r\n  -9   1   0 25283.5 1586.99   2\r\n   9   1   0 26741.2 1683.92   2\r\n  -9  -1   0 27838.1 1684.63   2\r\n  -9   1   0 28219.6 1923.73   6\r\n  -9  -1   1 1406.60 591.415   2\r\n   9  -1  -1 1089.83 415.389   7\r\n  -9   1  -1 2286.47 672.712   4\r\n  -9  -1   1 1730.24 511.628   4\r\n   9  -1  -1 893.700 478.067   4\r\n   9   1   1 1786.67 492.077   2\r\n  -9   1  -1 1398.09 548.795   6\r\n   9   1   1 1826.38 510.681   5\r\n   9   1   2 822.399 474.694   5\r\n  -9  -1   2 343.656 619.284   2\r\n   9  -1  -2 565.829 441.232   5\r\n   9   1   2 360.270 313.717   2\r\n  -9   1  -2 476.901 402.000   4\r\n   9   1   2 352.460 525.348   4\r\n   9  -1  -2 333.040 481.132   7\r\n  -9   1  -2 419.044 481.429   6\r\n  -9  -1   2 551.781 421.597   4\r\n   9  -1  -2 374.715 347.847   1\r\n   9  -1  -2 797.358 438.297   4\r\n   9  -1  -3 29211.6 1891.36   1\r\n   9  -1  -3 26700.9 2155.23   2\r\n   9   1   3 27557.4 2136.23   4\r\n   9  -1  -3 23091.6 2049.67   7\r\n  -9  -1   3 26288.5 2010.25   4\r\n  -9  -1   3 25705.7 2062.27   7\r\n  -9  -1   3 25716.1 2219.89   2\r\n  -9   1  -3 24134.9 1786.14   6\r\n   9   1   3 24139.0 853.832   2\r\n   9   1   3 26953.1 2272.12   5\r\n   9  -1  -3 26844.1 1951.99   5\r\n  -9   1  -4 21532.6 2966.41   3\r\n   9   1   4 20788.0 2135.59   4\r\n  -9  -1   4 21772.3 2110.80   4\r\n   9  -1  -4 25613.0 2400.33   2\r\n   9  -1  -4 19621.7 2249.65   7\r\n  -9  -1   4 21815.9 2276.96   2\r\n   9  -1  -4 20751.9 2054.26   5\r\n   9  -1  -4 22505.9 1826.06   1\r\n   9  -1  -5 8784.61 1672.40   5\r\n  -9  -1   5 9453.24 1799.14   2\r\n   9   1   5 8286.89 1577.22   4\r\n   9  -1  -5 8357.33 1908.55   7\r\n   9  -1  -6 6351.56 1508.19   5\r\n  -9  -1   6 6379.87 1415.35   2\r\n   9  -1  -6 6416.07 1810.67   7\r\n   9   1   6 6187.95 1556.65   4\r\n  -9  -1   7 2555.59 975.812   2\r\n   9  -1  -7 5520.80 1490.53   5\r\n   9  -1  -7 1732.91 1327.73   7\r\n   9   1   7 3312.67 1388.16   4\r\n   9   2  -7-65.1027 1176.29   7\r\n   9  -2   7 26.3694 1134.94   4\r\n  -9   2   7-456.598 532.312   2\r\n   9   2  -6 2253.34 1003.52   7\r\n   9  -2   6 1777.71 1255.25   4\r\n  -9   2   6 2353.07 766.261   2\r\n  -9   2   6-635.008 664.127   6\r\n  -9  -2  -6 1300.78 858.201   5\r\n   9   2  -6 128.229 856.818   5\r\n   9   2  -5 9082.10 1794.06   7\r\n  -9   2   5 8221.14 843.666   4\r\n   9  -2   5 7931.51 1785.13   4\r\n  -9   2   5 8296.65 1414.89   2\r\n   9  -2   5 9784.47 1487.79   6\r\n   9   2  -5 9150.27 1285.65   5\r\n  -9  -2  -5 8027.80 1691.08   5\r\n   9   2  -4 1498.44 546.670   5\r\n  -9  -2  -4 2318.88 1199.11   3\r\n   9  -2   4 1382.09 805.478   7\r\n  -9  -2  -4 653.014 707.254   4\r\n   9  -2   4 1466.68 993.614   4\r\n   9   2  -4 1011.68 842.259   7\r\n  -9   2   4 823.129 354.502   4\r\n  -9   2   4 1041.00 696.155   2\r\n   9  -2   4 1262.55 623.138   6\r\n  -9  -2  -4 1619.06 888.557   5\r\n  -9  -2  -3 9449.69 1835.62   3\r\n   9   2  -3 11059.3 816.316   1\r\n  -9  -2  -3 13138.0 1534.38   4\r\n   9  -2   3 10576.1 1628.48   4\r\n  -9   2   3 8523.65 772.789   4\r\n   9  -2   3 9872.95 1169.36   7\r\n  -9   2   3 10828.1 1408.37   2\r\n  -9  -2  -3 9920.58 778.176   6\r\n  -9   2   3 10469.7 1294.95   7\r\n   9  -2   3 8821.15 1331.69   6\r\n   9   2  -3 10529.6 1528.38   7\r\n  -9  -2  -3 10593.7 1542.88   5\r\n   9   2  -3 11017.9 871.625   5\r\n  -9  -2  -2 43680.9 2917.84   3\r\n  -9  -2  -2 39638.0 2434.43   4\r\n  -9   2   2 42717.2 1692.41   4\r\n   9  -2   2 45830.4 1855.86   7\r\n  -9   2   2 44186.3 2432.17   2\r\n  -9   2   2 41476.9 1959.78   7\r\n   9   2  -2 44054.4 2518.67   7\r\n  -9  -2  -2 43217.8 1577.64   2\r\n   9  -2   2 38114.7 2465.14   6\r\n  -9   2   2 41420.1 2600.80   6\r\n  -9  -2  -2 45875.0 2518.03   5\r\n   9   2  -2 43520.0 1113.13   5\r\n   9  -2   1 22743.2 1903.78   6\r\n  -9   2   1 23012.8 1410.65   4\r\n   9  -2   1 24555.9 1818.16   4\r\n  -9  -2  -1 28085.3 1902.95   4\r\n   9  -2   1 24727.9 947.310   7\r\n   9  -2   1 26563.8 1744.20   2\r\n  -9   2   1 25983.7 1203.45   7\r\n  -9  -2  -1 24843.0 1522.73   2\r\n  -9   2   1 24137.4 1967.42   6\r\n   9   2  -1 25892.5 865.769   5\r\n  -9   2   0 112581. 3422.80   4\r\n   9   2   0 120473. 3769.73   2\r\n   9  -2   0 112550. 3255.51   4\r\n  -9   2   0 108916. 3898.81   6\r\n  -9  -2   0 111503. 3678.35   4\r\n   9  -2   0 111166. 1809.78   7\r\n  -9  -2   0 113765. 3580.08   2\r\n   9   2   0 113519. 2623.10   5\r\n  -9   2  -1 25073.6 1901.13   4\r\n   9  -2  -1 26516.7 1437.10   4\r\n  -9  -2   1 25671.8 1855.22   4\r\n   9  -2  -1 26098.8 1364.75   7\r\n  -9  -2   1 26569.8 2003.42   2\r\n  -9   2  -1 25146.0 1949.10   6\r\n   9   2   1 24597.2 1562.71   2\r\n   9  -2  -1 28601.0 1780.74   1\r\n   9   2   1 24330.6 1607.80   5\r\n  -9   2  -2 44869.9 3143.08   3\r\n   9  -2  -2 42468.4 2510.96   2\r\n   9  -2  -2 43669.9 2353.58   1\r\n   9   2   2 41859.8 2371.16   4\r\n  -9  -2   2 44629.3 2593.65   4\r\n  -9  -2   2 47197.9 2823.36   2\r\n  -9   2  -2 43062.3 2527.53   6\r\n   9  -2  -2 43082.9 1722.60   4\r\n   9   2   2 43983.5 2542.97   5\r\n   9  -2  -2 44263.3 2312.64   7\r\n   9  -2  -3 11545.6 1457.79   2\r\n   9  -2  -3 12136.7 1410.95   1\r\n   9   2   3 10967.6 1555.68   5\r\n   9  -2  -3 11573.1 1539.41   7\r\n  -9   2  -3 10538.9 1937.08   3\r\n   9   2   3 10530.2 1358.26   4\r\n  -9  -2   3 8913.00 1523.01   2\r\n  -9  -2   3 10113.1 1432.28   4\r\n  -9   2  -3 12881.8 1532.96   6\r\n   9  -2  -3 11029.2 1404.22   5\r\n   9  -2  -4 1071.97 937.883   5\r\n  -9  -2   4 995.556 923.174   2\r\n  -9   2  -4 171.864 1503.81   3\r\n   9   2   4 1406.00 814.802   4\r\n   9  -2  -4 2702.72 787.926   1\r\n   9  -2  -4 836.702 708.675   7\r\n   9  -2  -5 7305.23 1674.67   7\r\n   9  -2  -5 7248.22 1550.97   5\r\n  -9  -2   5 7902.61 1630.21   2\r\n   9   2   5 8502.75 1611.22   4\r\n   9  -2  -6 289.455 1090.44   5\r\n  -9  -2   6 1505.06 1047.68   2\r\n   9  -2  -6 1095.01 789.618   7\r\n   9   2   6 1833.12 1083.45   4\r\n   9  -2  -7-855.707 1160.56   5\r\n  -9  -2   7 1444.42 889.956   2\r\n   9   2   7-1253.60 1130.18   4\r\n  -9   3   6 6029.13 1288.65   1\r\n   9  -3   6 5373.04 1755.89   4\r\n   9   3  -6 3879.90 1357.01   7\r\n  -9   3   6 5324.24 1283.78   6\r\n  -9  -3  -6 7484.81 1870.78   5\r\n   9  -3   5 5000.11 1529.64   4\r\n  -9   3   5 4220.24 1174.10   1\r\n   9   3  -5 4120.03 1510.69   7\r\n  -9   3   5 2969.61 985.825   6\r\n  -9  -3  -5 4695.76 1403.14   5\r\n  -9  -3  -4 3116.43 1122.09   5\r\n  -9  -3  -4 3646.91 1560.67   3\r\n  -9   3   4 4771.03 1225.48   1\r\n  -9  -3  -4 3087.83 984.921   4\r\n   9  -3   4 3969.51 1461.04   4\r\n   9  -3   4 3055.91 955.994   7\r\n   9   3  -4 3187.85 1255.01   7\r\n  -9   3   4 3479.53 1103.09   6\r\n  -9  -3  -3 2787.82 1126.90   3\r\n  -9   3   3 2499.59 330.011   4\r\n   9   3  -3 2855.52 353.558   1\r\n  -9  -3  -3 2835.56 752.351   4\r\n  -9  -3  -3 2891.32 295.330   2\r\n   9  -3   3 2706.78 1011.35   4\r\n   9  -3   3 3000.57 713.573   7\r\n  -9   3   3 3282.74 831.471   7\r\n   9   3  -3 1847.13 918.109   7\r\n   9  -3   3 2754.96 911.159   6\r\n  -9  -3  -3 3521.87 1030.08   5\r\n  -9   3   3 3092.11 983.169   6\r\n  -9  -3  -2 8124.04 1370.73   3\r\n  -9   3   2 7184.46 706.229   4\r\n   9  -3   2 9474.07 1423.19   4\r\n  -9  -3  -2 9176.26 1254.00   4\r\n   9  -3   2 9153.08 738.902   7\r\n  -9   3   2 7606.31 922.592   7\r\n  -9  -3  -2 7769.21 831.629   2\r\n   9  -3   2 8849.47 1386.74   6\r\n  -9   3   2 7520.62 1261.82   6\r\n  -9  -3  -2 7986.62 1170.66   5\r\n   9   3  -2 8592.01 1284.02   7\r\n  -9   3   1 39875.3 1361.88   7\r\n  -9   3   1 35302.6 1830.32   4\r\n   9  -3   1 38831.7 2354.80   4\r\n  -9  -3  -1 40570.7 2385.51   4\r\n  -9  -3  -1 37268.6 2021.53   2\r\n  -9   3   1 39557.4 2599.15   6\r\n  -9  -3  -1 37626.3 1966.59   5\r\n   9  -3   0 5140.79 844.145   1\r\n   9  -3   0 5358.76 867.096   4\r\n  -9  -3   0 7667.46 1115.16   2\r\n  -9  -3   0 5633.00 969.818   4\r\n  -9   3   0 4850.58 1052.36   6\r\n   9   3   0 5337.28 625.227   5\r\n  -9   3  -1 39282.1 2641.81   3\r\n   9  -3  -1 38331.5 1696.21   4\r\n   9  -3  -1 38420.8 2275.94   1\r\n  -9  -3   1 34144.8 2360.20   4\r\n   9   3   1 37719.2 2366.98   4\r\n  -9  -3   1 37694.7 2506.56   2\r\n  -9   3  -1 37626.0 2584.82   6\r\n   9  -3  -1 38864.1 1501.74   7\r\n   9   3   1 37883.2 2032.48   5\r\n   9  -3  -2 9361.67 1223.01   1\r\n  -9   3  -2 8564.08 1585.03   3\r\n   9  -3  -2 8303.88 1004.17   7\r\n   9  -3  -2 8660.16 706.832   4\r\n  -9  -3   2 8470.72 1328.05   2\r\n  -9   3  -2 7492.73 1226.54   6\r\n   9   3   2 8089.62 1201.05   4\r\n  -9  -3   2 7750.30 1248.30   4\r\n   9   3   2 7717.67 1116.44   5\r\n   9  -3  -2 8290.06 1229.21   2\r\n   9  -3  -3 2302.47 881.064   2\r\n   9  -3  -3 2326.03 825.554   5\r\n  -9   3  -3 2529.31 1200.70   3\r\n  -9  -3   3 3049.65 1105.30   2\r\n   9  -3  -3 1539.67 732.667   7\r\n  -9   3  -3 3046.94 934.800   6\r\n   9   3   3 3147.77 873.907   4\r\n   9  -3  -4 3241.08 1204.59   5\r\n  -9  -3   4 5553.49 1326.07   2\r\n   9  -3  -4 5081.72 1372.52   7\r\n   9   3   4 3656.60 1079.71   4\r\n   9  -3  -5 4061.67 1343.44   5\r\n  -9  -3   5 3951.90 1231.02   2\r\n   9  -3  -5 3394.05 1155.74   7\r\n   9   3   5 3599.13 1136.84   4\r\n   9  -3  -6 4754.19 1384.10   5\r\n  -9  -3   6 4956.45 1497.95   2\r\n   9   3   6 4466.41 1305.43   4\r\n  -9   4   6 2423.24 899.937   1\r\n   9   4  -6 1826.04 1516.15   7\r\n   9  -4   6 2518.60 1406.17   4\r\n  -9  -4  -6 2293.67 1228.45   5\r\n  -9  -4  -5 4298.15 1361.35   5\r\n   9   4  -5 3754.86 1380.02   7\r\n   9  -4   5 3631.64 1217.57   4\r\n  -9   4   5 3921.10 1066.35   6\r\n  -9   4   5 3154.68 1111.19   1\r\n   9  -4   4 17720.8 2422.50   4\r\n  -9  -4  -4 17164.1 1943.44   4\r\n  -9  -4  -4 16604.7 2581.16   3\r\n   9   4  -4 14971.9 2131.44   7\r\n   9  -4   4 18176.0 1617.72   7\r\n  -9   4   4 14625.2 1943.63   1\r\n  -9   4   4 19590.2 2166.29   6\r\n  -9  -4  -4 18598.4 2362.17   5\r\n  -9  -4  -3 46328.7 3466.83   3\r\n   9  -4   3 43697.3 3324.54   4\r\n  -9  -4  -3 42221.3 2757.16   4\r\n  -9   4   3 41511.0 2597.32   7\r\n  -9  -4  -3 42944.5 1671.59   2\r\n  -9   4   3 39062.4 2870.12   6\r\n   9  -4   3 40722.1 1885.36   7\r\n   9   4  -3 41183.8 2981.06   7\r\n  -9  -4  -3 38751.7 2980.03   5\r\n  -9  -4  -2 7780.47 1276.15   5\r\n  -9  -4  -2 8432.24 1429.06   3\r\n  -9   4   2 6651.81 1324.58   6\r\n  -9  -4  -2 10114.1 1272.63   4\r\n  -9   4   2 7976.85 986.323   7\r\n   9  -4   2 7460.78 1417.46   4\r\n   9   4  -2 8304.14 1402.95   7\r\n  -9  -4  -2 8193.56 978.075   2\r\n   9  -4   1 38357.7 2548.22   4\r\n  -9  -4  -1 40598.9 2568.77   4\r\n  -9   4   1 41991.7 1414.66   7\r\n   9  -4   1 42901.2 2401.76   1\r\n  -9   4   1 36298.7 2705.24   6\r\n  -9  -4  -1 44441.4 2479.18   2\r\n   9  -4   1 40164.9 2945.37   6\r\n  -9  -4  -1 41592.3 2254.37   5\r\n  -9  -4   0 1204.49 809.741   2\r\n   9   4   0 1161.45 344.349   5\r\n   9  -4   0 1087.91 585.881   4\r\n  -9   4   0 563.082 678.001   6\r\n  -9  -4   0 810.437 580.223   4\r\n   9  -4   0 1518.86 580.775   1\r\n   9  -4   0 1238.51 737.708   6\r\n   9   4   0 1396.08 793.075   4\r\n  -9  -4   0 1097.41 412.341   5\r\n  -9   4  -1 41863.2 2857.58   3\r\n   9  -4  -1 42090.3 2568.85   1\r\n   9  -4  -1 43645.4 1937.53   4\r\n   9  -4  -1 45764.4 2780.67   2\r\n  -9  -4   1 40052.7 2713.58   4\r\n  -9  -4   1 46052.5 3043.01   2\r\n   9   4   1 33954.5 2513.02   4\r\n  -9   4  -1 42644.3 2972.67   6\r\n   9  -4  -1 44385.8 2987.66   6\r\n   9   4   1 41454.5 2134.20   5\r\n   9  -4  -2 8194.67 1318.04   5\r\n  -9   4  -2 6060.03 1458.25   3\r\n   9  -4  -2 7867.45 633.322   4\r\n   9   4   2 8340.78 1260.05   4\r\n  -9  -4   2 7269.50 1460.36   2\r\n  -9   4  -2 8759.82 1469.98   6\r\n   9   4   2 8027.56 1237.29   5\r\n   9   4   3 40031.1 2662.87   4\r\n  -9   4  -3 39639.8 3134.50   6\r\n  -9  -4   3 39647.4 3280.53   2\r\n   9  -4  -3 38362.0 2931.32   5\r\n   9   4   4 16922.8 1841.39   4\r\n  -9  -4   4 18452.3 2464.26   2\r\n   9  -4  -4 17423.2 2310.95   5\r\n   9  -4  -5 2294.15 1125.29   5\r\n  -9  -4   5 2092.72 1110.49   2\r\n   9   4   5 3168.21 920.748   4\r\n   9  -4  -6-1168.82 1141.18   5\r\n  -9  -4   6 2070.67 1091.03   2\r\n   9   4   6 450.642 771.280   4\r\n  -9  -5  -6 4482.04 1316.88   5\r\n   9  -5   6 1119.03 1477.40   4\r\n   9   5  -6 2420.24 1508.04   7\r\n  -9   5   6 1607.42 1150.03   1\r\n  -9  -5  -5 404.968 939.927   5\r\n   9  -5   5-1301.01 1106.07   4\r\n   9   5  -5-2919.42 1242.94   7\r\n  -9   5   5 1349.89 699.638   6\r\n  -9   5   5 3563.79 1057.87   1\r\n  -9  -5  -4 4232.53 1281.55   5\r\n  -9   5   4 6339.70 1436.50   1\r\n   9  -5   4 5747.08 1726.11   4\r\n  -9   5   4 6366.15 1326.07   6\r\n   9   5  -4 6885.19 1530.64   7\r\n  -9  -5  -3 3048.80 1051.26   5\r\n  -9  -5  -3 6764.95 1426.75   3\r\n   9  -5   3 5903.85 1470.33   4\r\n  -9  -5  -3 4610.52 765.631   2\r\n  -9  -5  -3 6429.48 1237.09   4\r\n  -9   5   3 2637.86 838.196   7\r\n  -9  -5  -3 4405.93 818.780   6\r\n   9   5  -3 5118.89 1316.63   7\r\n  -9   5   3 3335.78 1110.19   6\r\n   9  -5   3 5253.47 830.635   1\r\n  -9  -5  -2 5544.74 1194.84   5\r\n  -9  -5  -2 4344.76 1124.78   3\r\n   9  -5   2 3931.91 1285.76   4\r\n  -9   5   2 4712.63 830.902   7\r\n   9   5  -2 7100.58 1447.57   7\r\n   9  -5   2 4927.79 942.796   1\r\n  -9  -5  -2 6038.80 1034.81   2\r\n  -9  -5  -2 6164.98 1124.46   4\r\n  -9   5   2 4998.00 1308.71   6\r\n   9  -5   1 10400.6 1498.20   4\r\n   9  -5   1 9968.08 1332.85   1\r\n  -9  -5  -1 10912.5 1522.44   4\r\n  -9   5   1 9965.51 1596.88   6\r\n  -9   5   1 10290.5 770.135   7\r\n  -9  -5  -1 9223.20 1239.63   5\r\n  -9  -5  -1 11257.7 1512.47   2\r\n  -9  -5   0 1839.90 474.535   5\r\n  -9   5   0 1802.15 634.674   3\r\n  -9   5   0 1944.44 821.988   6\r\n  -9  -5   0 2455.61 930.187   2\r\n   9  -5   0 2649.45 788.359   4\r\n  -9   5  -1 9903.43 1612.01   3\r\n   9  -5  -1 11409.1 1132.17   4\r\n  -9  -5   1 12233.0 1786.56   2\r\n  -9   5  -1 10612.9 1781.13   6\r\n   9   5   1 10498.7 1659.13   4\r\n   9   5   1 11083.4 1168.94   5\r\n   9   5   2 5988.69 1112.97   5\r\n   9  -5  -2 4550.50 1183.77   5\r\n  -9   5  -2 5726.02 1408.42   3\r\n   9  -5  -2 5312.55 529.550   4\r\n  -9  -5   2 5371.43 1415.33   2\r\n  -9   5  -2 5022.77 1330.31   6\r\n   9   5   2 4902.33 1202.70   4\r\n   9  -5  -3 5084.25 1281.96   5\r\n  -9  -5   3 2401.64 1397.34   2\r\n   9   5   3 4539.76 1122.74   4\r\n   9  -5  -4 4999.27 1605.18   5\r\n  -9  -5   4 4516.69 1399.02   2\r\n   9   5   4 5553.68 1232.73   4\r\n   9  -5  -5 409.936 769.786   5\r\n  -9  -5   5 323.730 1294.28   2\r\n   9   5   5 630.924 734.191   4\r\n   9  -5  -6 1622.26 1300.43   5\r\n  -9  -5   6 918.479 731.775   2\r\n   9   5   6 1699.91 1552.63   1\r\n  -9  -6  -5 938.564 623.141   5\r\n  -9   6   5 925.904 981.650   1\r\n   9  -6   5-398.214 410.374   4\r\n  -9  -6  -4 2952.47 1025.06   5\r\n   9  -6   4 5143.39 1656.80   4\r\n   9   6  -4 2784.69 1098.30   7\r\n  -9   6   4 2706.28 962.484   6\r\n  -9   6   4 3494.16 1159.32   1\r\n  -9  -6  -3 6797.18 1460.75   5\r\n  -9  -6  -3 7349.55 1476.16   3\r\n   9  -6   3 6792.89 1719.91   4\r\n   9   6  -3 6540.84 1525.37   7\r\n  -9  -6  -3 8458.61 1224.82   2\r\n  -9   6   3 5289.99 1409.65   6\r\n  -9  -6  -2 1116.00 596.548   5\r\n  -9  -6  -2 649.593 752.978   3\r\n   9  -6   2 1222.40 875.208   4\r\n  -9   6   2 1019.97 536.518   7\r\n  -9  -6  -2-245.274 730.157   2\r\n  -9  -6  -2 900.733 737.563   6\r\n  -9   6   2 2045.11 966.957   6\r\n   9   6  -2 1057.28 959.499   7\r\n   9   6  -2 651.072 356.553   1\r\n  -9  -6  -1 3833.33 946.804   5\r\n  -9   6   1 3616.37 743.916   3\r\n   9  -6   1 3733.58 1053.09   4\r\n   9   6  -1 3101.84 759.306   1\r\n  -9   6   1 3531.68 1304.49   6\r\n  -9  -6  -1 2837.19 1090.30   2\r\n  -9   6   1 4587.79 561.163   7\r\n  -9  -6   0 1526.28 495.323   5\r\n   9  -6   0 2100.08 696.411   4\r\n  -9   6   0 2006.97 680.617   3\r\n  -9   6   0 1170.58 819.406   6\r\n  -9  -6   0 2624.29 1116.74   2\r\n  -9   6  -1 2297.35 960.706   3\r\n   9  -6  -1 3730.84 774.694   4\r\n  -9   6  -1 2288.93 1183.97   6\r\n  -9  -6   1 4132.91 1474.00   2\r\n  -9  -6   1 3628.22 405.364   5\r\n   9  -6  -2 161.933 791.747   5\r\n  -9   6  -2 776.332 972.716   6\r\n   9  -6  -2 965.365 297.596   4\r\n  -9  -6   2 708.169 1073.20   2\r\n   9   6   2 677.559 930.610   4\r\n   9  -6  -3 4716.27 1317.09   5\r\n  -9  -6   3 6047.41 1569.45   2\r\n   9   6   3 7338.09 1522.09   4\r\n   9  -6  -4 3087.43 1297.75   5\r\n  -9  -6   4 2432.03 1247.30   2\r\n   9   6   4 2119.75 1009.04   4\r\n   9  -6  -5 1055.93 1063.02   5\r\n  -9  -6   5-436.158 670.296   2\r\n   9   6   5-257.599 1272.56   1\r\n  -9  -7  -4-2517.54 1222.93   5\r\n   9   7  -4 683.359 1220.97   7\r\n   9  -7   4 47.4326 813.550   4\r\n  -9   7   4-1807.73 928.969   6\r\n  -9   7   4-26.3751 857.500   1\r\n  -9  -7  -3 1920.44 978.786   5\r\n  -9  -7  -3 2412.51 962.626   2\r\n   9   7  -3 3055.04 1203.00   7\r\n   9  -7   3 3416.59 1178.51   4\r\n  -9   7   3 5566.04 1234.31   6\r\n  -9  -7  -2 2520.43 933.519   5\r\n  -9   7   2 1722.95 1055.68   6\r\n   9   7  -2 1463.82 883.287   7\r\n  -9  -7  -2 1858.92 844.964   2\r\n   9   7  -2 1698.60 494.537   1\r\n   9  -7   2 1387.03 965.613   4\r\n  -9  -7  -1 1058.91 546.698   5\r\n   9  -7   1 563.335 763.952   4\r\n  -9   7   1 632.066 953.434   6\r\n   9   7  -1 1407.52 503.677   1\r\n  -9  -7   0 817.522 369.964   5\r\n   9  -7   0 508.391 566.962   4\r\n   9   7   0-115.854 670.809   1\r\n  -9   7   0 219.828 908.140   6\r\n   9  -7  -1 785.956 622.635   4\r\n   9   7   1 597.954 836.329   1\r\n  -9   7  -1 2923.32 1231.94   6\r\n  -9  -7   1 784.819 799.920   2\r\n   9  -7  -2 2683.05 1109.62   5\r\n   9   7   2 1836.09 1008.45   1\r\n  -9  -7   2 966.685 1354.94   2\r\n   9  -7  -3 3306.65 1200.45   5\r\n   9   7   3 2919.19 1237.34   1\r\n  -9  -7   3 3586.40 1421.84   2\r\n   9   7   4 162.024 1179.98   1\r\n   9  -7  -4 179.091 876.603   5\r\n  -9  -7   4-1522.36 1289.02   2\r\n  -9  -8  -3-932.194 993.521   5\r\n   9  -8   3 1131.48 1228.58   4\r\n   9   8  -3 172.461 921.872   7\r\n  -9   8   3 3206.98 1122.64   6\r\n  -9  -8  -2 2226.82 864.339   5\r\n   9  -8   2 2586.34 1141.70   4\r\n   9   8  -2 1302.58 842.964   7\r\n  -9   8   2 1136.23 1161.01   6\r\n  -9  -8  -2 1982.49 1034.98   2\r\n  -9  -8  -1 2144.53 1025.09   5\r\n   9   8  -1 1725.05 875.196   1\r\n   9  -8   1 2936.35 986.285   4\r\n  -9   8   1 2592.89 1114.20   6\r\n   9   8   0-427.590 785.788   1\r\n   9  -8   0 824.868 504.343   4\r\n   9  -8  -1 3536.17 1368.75   5\r\n  -9  -8   1 3483.33 1506.75   2\r\n   9   8   1 1942.66 1115.55   1\r\n   9  -8  -2 3401.16 1357.61   5\r\n  -9  -8   2 3397.34 1478.48   2\r\n   9   8   2 2527.72 1096.41   1\r\n   9  -8  -3 1319.31 850.604   5\r\n  -9  -8   3 1212.12 1368.29   2\r\n   9   8   3-245.805 1081.63   1\r\n   9  -9   1 953.894 827.771   4\r\n   9   9  -1 484.088 1229.69   7\r\n  -9  -9  -1-1112.36 1613.72   2\r\n   9   9   0 6.83667 873.379   1\r\n  -9  -9   0 1711.09 1385.44   2\r\n   9   9   1 2717.35 878.198   1\r\n  -9  -9   1 762.682 922.488   2\r\n -10   0   0 71848.2 2836.06   4\r\n -10   0   0 69997.4 2711.79   2\r\n  10   0   0 66816.9 2731.88   2\r\n -10   0  -1 163970. 4575.16   4\r\n -10   0   1 158354. 4015.55   4\r\n  10   0  -1 161517. 4095.39   4\r\n  10   0  -1 162956. 3751.70   7\r\n -10   0   1 161626. 4498.56   2\r\n  10   0   1 156277. 3806.30   2\r\n -10   0  -1 154307. 4278.99   6\r\n -10   0  -1 162209. 3645.38   2\r\n  10   0   2 3608.33 623.327   2\r\n -10   0   2 3270.50 898.372   2\r\n  10   0  -2 4018.33 829.781   7\r\n -10   0  -2 3740.38 881.579   4\r\n -10   0   2 3294.32 663.915   4\r\n -10   0  -2 3099.45 702.899   6\r\n  10   0  -2 3325.43 803.731   4\r\n  10   0  -2 4235.46 664.111   5\r\n  10   0   2 3936.74 831.381   5\r\n  10   0   3 2855.01 922.347   5\r\n -10   0   3 4067.48 1024.61   2\r\n  10   0  -3 3347.24 746.480   5\r\n -10   0  -3 4158.33 1210.22   3\r\n  10   0   3 2996.21 762.744   7\r\n  10   0  -3 3178.14 906.771   2\r\n -10   0   3 4073.66 822.157   7\r\n  10   0   3 2611.98 920.421   4\r\n  10   0  -3 4851.12 1083.26   7\r\n -10   0  -3 3699.42 738.178   6\r\n -10   0   3 4101.32 744.632   4\r\n -10   0  -3 4075.77 897.163   4\r\n  10   0  -3 4651.16 757.618   1\r\n  10   0   3 3893.27 573.671   2\r\n -10   0   4 6084.83 1257.31   2\r\n  10   0  -4 5071.18 1053.31   5\r\n -10   0  -4 5766.42 879.205   6\r\n -10   0  -4 6675.73 1731.55   3\r\n  10   0   4 6211.56 623.505   2\r\n  10   0  -4 5208.08 1371.92   7\r\n  10   0   4 8781.75 1545.10   4\r\n -10   0   4 6208.12 1012.35   4\r\n  10   0  -4 5652.04 901.098   1\r\n -10   0   5 11650.6 1821.60   2\r\n -10   0   5 13903.9 1755.91   4\r\n  10   0  -5 13007.5 2152.92   7\r\n  10   0   5 13633.4 2060.65   4\r\n  10   0  -5 14184.9 1817.52   5\r\n  10   0  -6 270.129 881.702   5\r\n  10   0  -6 804.229 1372.66   7\r\n  10   0   6 1442.41 984.601   4\r\n -10   0   6 1269.05 677.120   2\r\n  10   0  -7 715.804 532.038   5\r\n  10   0  -7 862.995 1071.64   7\r\n  10   0   7 1866.52 1260.42   4\r\n -10   0   7 569.386 926.130   2\r\n  10  -1   7-75.3278 1191.59   4\r\n -10   1   7 1995.00 917.878   2\r\n  10   1  -6 246.902 756.779   5\r\n  10   1  -6 291.582 976.294   7\r\n  10  -1   6 629.980 1248.10   4\r\n -10   1   6 2471.28 771.457   2\r\n  10   1  -5 4564.27 1027.91   5\r\n -10  -1  -5-728.221 1977.83   3\r\n  10   1  -5 3435.76 1453.73   7\r\n  10  -1   5 4557.05 1425.73   4\r\n  10  -1   5 3004.64 608.475   2\r\n -10   1   5 3301.32 817.492   4\r\n  10  -1   5 3555.04 895.039   6\r\n -10   1   5 3156.03 1174.81   2\r\n  10   1  -4 6930.64 1059.19   5\r\n -10  -1  -4 7509.42 1884.34   3\r\n  10  -1   4 7554.46 898.951   2\r\n  10  -1   4 8364.42 1617.41   4\r\n  10  -1   4 9112.14 1391.96   7\r\n  10   1  -4 6783.65 1461.70   7\r\n -10  -1  -4 8130.33 804.450   6\r\n -10   1   4 6115.17 940.063   4\r\n  10  -1   4 6054.32 978.764   6\r\n -10   1   4 5829.88 1323.44   2\r\n  10   1  -4 6078.72 842.028   1\r\n -10  -1  -3 18011.2 2363.93   3\r\n -10  -1  -3 17988.9 1876.66   4\r\n  10   1  -3 16129.8 1210.44   1\r\n  10  -1   3 18310.7 1968.53   4\r\n -10   1   3 16177.4 1313.10   4\r\n  10  -1   3 16116.5 1494.02   7\r\n  10  -1   3 17836.8 1315.96   2\r\n  10   1  -3 17417.6 1832.31   7\r\n  10   1  -3 16646.3 1861.42   2\r\n -10   1   3 18326.8 1657.55   7\r\n -10   1   3 15171.3 1767.03   2\r\n -10  -1  -3 17237.9 1260.81   6\r\n  10  -1   3 15562.1 1584.08   6\r\n  10   1  -3 15583.2 1287.19   5\r\n -10  -1  -2 42389.9 2579.80   4\r\n -10   1   2 40487.8 1951.22   4\r\n -10  -1  -2 44953.0 1654.22   2\r\n  10  -1   2 45851.0 2091.69   2\r\n  10   1  -2 43415.0 2447.73   7\r\n -10   1   2 43834.2 2193.10   7\r\n  10   1  -2 47185.7 2708.76   4\r\n -10  -1  -2 44025.5 2142.83   6\r\n -10   1   2 43847.3 2538.20   2\r\n  10   1  -2 47408.0 1693.19   5\r\n -10  -1  -2 40227.5 3099.25   3\r\n -10  -1  -1 78940.7 3206.21   4\r\n -10   1   1 68714.3 2564.25   4\r\n  10   1  -1 70693.1 3009.79   4\r\n -10   1   1 74582.6 3033.34   2\r\n  10  -1   1 76064.6 2806.29   2\r\n  10   1  -1 73880.7 2870.53   7\r\n -10  -1  -1 78446.3 2604.83   2\r\n -10   1   0 27533.9 1782.42   4\r\n  10  -1   0 22376.3 1567.46   4\r\n -10  -1   0 28537.3 1852.57   4\r\n -10   1   0 24359.6 1657.55   2\r\n  10  -1   0 26614.0 1793.49   2\r\n  10   1   0 27290.2 1815.89   2\r\n -10   1   0 26957.7 1998.41   6\r\n -10  -1   0 26814.0 1758.13   2\r\n -10   1  -1 72347.7 3125.60   4\r\n -10  -1   1 73676.4 2981.79   4\r\n  10  -1  -1 75647.4 2668.74   4\r\n  10  -1  -1 74467.1 2403.29   7\r\n -10  -1   1 74776.0 3192.54   2\r\n  10   1   1 76155.5 2692.08   2\r\n -10   1  -1 73933.1 3129.73   6\r\n  10   1   1 74491.3 2748.65   5\r\n -10   1  -2 50426.4 2927.27   4\r\n  10   1   2 49026.4 2626.24   4\r\n -10  -1   2 45330.8 2471.69   4\r\n  10  -1  -2 44973.4 2253.28   1\r\n  10  -1  -2 44265.5 2337.46   7\r\n  10  -1  -2 44553.2 2128.30   4\r\n  10   1   2 44165.7 1814.32   2\r\n -10   1  -2 41517.4 2384.10   6\r\n -10  -1   2 45014.7 2739.11   2\r\n  10   1   2 45457.9 2581.07   5\r\n -10   1  -3 15024.3 2275.31   3\r\n  10  -1  -3 18260.0 1558.59   1\r\n -10   1  -3 20697.8 2127.38   4\r\n  10   1   3 17506.5 1830.02   4\r\n -10  -1   3 13893.3 1557.33   4\r\n  10  -1  -3 15365.0 1714.76   7\r\n -10  -1   3 16128.0 1671.34   7\r\n -10  -1   3 15257.2 1784.71   2\r\n  10  -1  -3 16339.8 1780.85   2\r\n  10   1   3 17204.4 885.830   2\r\n -10   1  -3 16698.1 1551.05   6\r\n  10   1   3 15893.3 1775.68   5\r\n  10  -1  -3 14435.9 1483.75   5\r\n  10  -1  -4 8993.62 1388.48   5\r\n -10  -1   4 7299.75 1407.16   2\r\n -10   1  -4 6369.56 1606.11   3\r\n  10  -1  -4 7318.65 1405.34   7\r\n -10   1  -4 8161.08 1175.17   6\r\n  10   1   4 6641.75 1373.58   4\r\n -10  -1   4 5591.02 1186.12   4\r\n  10  -1  -4 6618.62 1145.64   1\r\n  10  -1  -5 3082.38 1058.99   5\r\n -10  -1   5 3361.64 1216.73   2\r\n -10   1  -5-394.942 1846.99   3\r\n  10  -1  -5 4253.65 1418.96   7\r\n  10   1   5 4389.96 1352.07   4\r\n  10  -1  -6 219.536 919.039   5\r\n -10  -1   6 199.521 932.908   2\r\n  10   1   6 1335.24 1006.49   4\r\n  10  -1  -6 925.513 1092.32   7\r\n -10  -1   7-2237.20 1182.97   2\r\n  10  -1  -7 1753.96 1037.19   5\r\n  10  -1  -7-2373.56 1498.56   7\r\n  10   1   7 1217.53 1253.53   4\r\n  10   2  -6 6538.13 1444.02   7\r\n  10  -2   6 8006.91 1773.43   4\r\n -10   2   6 7066.29 1320.26   2\r\n -10   2   6 6494.03 1375.66   6\r\n  10   2  -6 5521.80 1263.22   5\r\n  10   2  -5 5948.04 1077.17   5\r\n -10  -2  -5 1467.55 1516.56   3\r\n  10  -2   5 5281.24 1553.43   4\r\n -10   2   5 4971.86 714.364   4\r\n -10   2   5 3529.92 1173.76   2\r\n  10  -2   5 5448.40 1245.39   6\r\n  10   2  -5 5909.69 1807.08   7\r\n -10  -2  -4 7156.11 1874.24   3\r\n -10   2   4 5405.62 691.765   4\r\n  10  -2   4 6282.13 1449.47   4\r\n  10   2  -4 5039.68 1262.70   7\r\n -10   2   4 5168.41 1228.91   2\r\n  10  -2   4 4060.77 968.406   6\r\n  10  -2   4 3991.94 917.224   7\r\n -10  -2  -4 7985.11 1556.54   5\r\n  10   2  -4 6103.85 876.685   5\r\n  10   2  -4 6264.55 679.367   1\r\n -10  -2  -3 32463.0 3019.49   3\r\n -10  -2  -3 36334.7 2599.88   4\r\n  10  -2   3 29396.7 2533.73   4\r\n -10   2   3 30189.4 1518.97   4\r\n  10   2  -3 30518.9 1431.47   1\r\n  10  -2   3 31412.6 1972.33   7\r\n -10   2   3 30592.3 2357.08   2\r\n  10   2  -3 31733.9 2504.13   7\r\n -10   2   3 31735.7 2137.62   7\r\n -10  -2  -3 35338.0 1603.65   6\r\n  10  -2   3 32771.5 2420.19   6\r\n  10   2  -3 31261.4 1413.54   5\r\n -10   2   2 6644.78 771.614   4\r\n  10  -2   2 5656.26 904.862   2\r\n  10  -2   2 5847.44 733.504   7\r\n -10   2   2 5704.82 790.374   7\r\n -10  -2  -2 6239.76 691.345   2\r\n  10   2  -2 6169.98 1074.41   7\r\n -10  -2  -2 6925.76 1127.17   4\r\n -10   2   2 4665.60 1044.93   2\r\n  10  -2   2 5572.44 1059.24   6\r\n -10   2   2 6647.99 1172.18   6\r\n  10   2  -2 5638.83 458.317   5\r\n -10   2   1 12699.6 1140.48   4\r\n  10  -2   1 13034.6 1487.27   6\r\n  10  -2   1 12669.7 1370.64   4\r\n -10  -2  -1 14361.8 1446.27   4\r\n -10   2   1 13241.5 1361.06   2\r\n  10  -2   1 12673.7 1296.70   2\r\n -10  -2  -1 12815.3 1181.42   2\r\n -10   2   1 11183.0 1492.23   6\r\n  10   2  -1 13813.9 1540.73   2\r\n  10   2  -1 13020.1 718.682   5\r\n -10   2   0 77239.8 3007.26   4\r\n  10  -2   0 77734.2 2864.69   4\r\n -10  -2   0 80278.5 3235.25   4\r\n  10  -2   0 79661.4 1691.30   7\r\n -10  -2   0 80896.3 3169.77   2\r\n -10   2   0 79159.7 3496.27   6\r\n  10   2   0 80046.6 3230.88   2\r\n  10   2   0 78341.2 2324.12   5\r\n -10  -2   1 11458.6 1442.95   2\r\n -10   2  -1 12282.8 1384.77   4\r\n  10  -2  -1 12447.1 1096.18   4\r\n -10  -2   1 13465.5 1416.55   4\r\n  10  -2  -1 13238.7 1032.15   7\r\n  10  -2  -1 12239.7 1249.98   1\r\n  10   2   1 11299.4 1124.72   2\r\n -10   2  -1 12322.6 1463.23   6\r\n  10   2   1 12056.7 1167.85   5\r\n  10   2   2 6891.05 1107.65   5\r\n  10  -2  -2 5434.50 1046.59   2\r\n -10   2  -2 6127.67 1315.50   3\r\n -10   2  -2 5710.66 1159.88   4\r\n -10  -2   2 5125.39 1108.91   2\r\n  10  -2  -2 5372.41 897.759   1\r\n -10  -2   2 6707.36 1005.87   4\r\n  10  -2  -2 5612.87 703.405   4\r\n  10  -2  -2 4953.95 850.817   7\r\n  10   2   2 5575.49 1045.39   4\r\n -10   2  -2 6730.39 1137.90   6\r\n -10   2  -3 31238.1 3201.93   3\r\n  10  -2  -3 34497.3 2329.73   1\r\n -10  -2   3 28591.4 2370.12   4\r\n  10   2   3 31509.9 2340.86   4\r\n  10  -2  -3 31054.5 2409.79   7\r\n -10  -2   3 30252.2 2628.85   2\r\n -10   2  -3 32211.5 2361.81   6\r\n  10  -2  -3 33573.1 2525.64   2\r\n  10   2   3 34351.5 2634.41   5\r\n  10  -2  -3 32710.8 2362.91   5\r\n  10  -2  -4 5682.82 1291.43   5\r\n -10  -2   4 4902.89 1242.59   2\r\n -10   2  -4 5057.15 1841.72   3\r\n  10  -2  -4 6395.74 1533.44   7\r\n  10   2   4 7311.58 1355.45   4\r\n  10  -2  -5 4853.70 1386.68   5\r\n -10  -2   5 5311.97 1385.93   2\r\n  10  -2  -5 6764.62 1477.52   7\r\n  10   2   5 5840.54 1326.06   4\r\n  10  -2  -6 4737.99 1386.54   5\r\n -10  -2   6 4804.34 1363.18   2\r\n  10  -2  -6 6324.79 1838.68   7\r\n  10   2   6 9363.99 1674.77   4\r\n  10   3  -6 681.081 791.238   7\r\n  10  -3   6-1320.05 1141.53   4\r\n -10   3   6 387.537 666.373   6\r\n -10  -3  -6 1515.58 741.523   5\r\n  10   3  -5 7120.14 1722.62   7\r\n  10  -3   5 9810.29 2052.86   4\r\n -10   3   5 9886.76 1580.14   6\r\n -10  -3  -5 10405.5 1969.11   5\r\n -10   3   4 7761.11 451.762   4\r\n -10  -3  -4 8094.72 1959.49   3\r\n  10  -3   4 9409.96 1308.44   7\r\n  10  -3   4 9735.81 1893.58   4\r\n  10   3  -4 8913.56 1739.49   7\r\n -10   3   4 8320.73 1487.61   6\r\n -10  -3  -4 7835.25 1595.94   5\r\n -10  -3  -3 23842.6 2779.29   3\r\n -10   3   3 24581.9 1138.01   4\r\n  10  -3   3 28740.0 2631.89   4\r\n -10  -3  -3 25776.1 2216.38   4\r\n  10   3  -3 24125.3 1084.23   1\r\n  10  -3   3 25394.7 1709.81   7\r\n -10  -3  -3 27064.0 958.694   2\r\n -10   3   3 27642.8 2039.54   7\r\n  10   3  -3 27265.1 2451.33   7\r\n  10  -3   3 25265.7 2339.43   6\r\n -10   3   3 22978.5 2248.92   6\r\n -10  -3  -3 22614.9 2253.61   5\r\n -10   3   2 7967.02 807.443   4\r\n -10  -3  -2 9047.19 1277.82   4\r\n  10  -3   2 8832.07 732.426   7\r\n  10   3  -2 9107.18 1344.36   7\r\n  10  -3   2 9090.73 1444.56   4\r\n -10  -3  -2 8142.71 915.090   2\r\n -10   3   2 7753.56 1288.50   6\r\n  10  -3   2 8411.44 1380.74   6\r\n -10   3   2 7969.28 918.715   7\r\n -10  -3  -2 6940.98 1146.79   5\r\n -10   3   1 784.840 419.227   4\r\n -10  -3  -1 526.218 441.402   2\r\n  10  -3   1 1194.46 595.993   4\r\n -10   3   1 697.709 265.599   7\r\n -10  -3  -1 316.470 505.951   4\r\n -10   3   1 472.347 576.500   6\r\n  10  -3   1 453.110 714.626   6\r\n -10   3   0 63880.8 3395.69   6\r\n -10   3   0 61260.9 2868.22   4\r\n  10  -3   0 56398.2 2562.20   4\r\n -10  -3   0 59480.9 3042.91   4\r\n -10  -3   0 59732.2 2959.07   2\r\n  10   3   0 57941.2 1973.90   5\r\n -10   3  -1-33.3638 603.821   3\r\n  10   3   1 904.857 465.504   5\r\n -10  -3   1 213.825 789.277   2\r\n  10  -3  -1 933.080 378.170   7\r\n  10  -3  -1 1249.21 431.366   4\r\n -10   3  -1 500.901 611.798   6\r\n -10  -3   1 770.498 614.986   4\r\n  10   3   1 157.235 667.886   4\r\n  10  -3  -1 821.134 576.827   1\r\n  10   3   2 8293.92 1206.18   5\r\n -10   3  -2 8364.05 1554.50   3\r\n  10  -3  -2 7898.48 1002.40   7\r\n  10  -3  -2 8840.33 823.605   4\r\n -10  -3   2 9745.58 1388.83   4\r\n -10  -3   2 6213.95 1328.08   2\r\n  10  -3  -2 9417.05 1347.93   2\r\n -10   3  -2 6942.71 1247.78   6\r\n  10   3   2 6963.10 1185.97   4\r\n  10  -3  -2 8612.19 1247.19   1\r\n -10   3  -3 23643.7 2903.97   3\r\n  10   3   3 22127.1 2093.75   4\r\n  10  -3  -3 23481.1 2059.54   7\r\n -10   3  -3 24440.4 2345.86   6\r\n -10  -3   3 22248.4 2427.01   2\r\n  10  -3  -3 21230.3 2049.93   5\r\n  10  -3  -4 9638.20 1710.05   5\r\n -10  -3   4 10235.7 1788.06   2\r\n  10  -3  -4 10465.6 1716.30   7\r\n  10   3   4 9857.29 1499.44   4\r\n  10  -3  -5 8806.44 1747.04   5\r\n -10  -3   5 10145.9 1839.27   2\r\n  10   3   5 13382.8 1827.48   4\r\n  10  -3  -5 9910.94 1861.47   7\r\n -10  -3   6 1069.33 779.936   2\r\n  10   3   6-66.6179 922.141   4\r\n  10  -3  -6-327.467 1171.54   7\r\n  10   4  -6 1821.37 1103.90   7\r\n  10  -4   6 2457.49 1658.90   4\r\n -10  -4  -6 3054.14 1093.22   5\r\n -10  -4  -5 794.872 886.623   5\r\n  10  -4   5-367.242 1403.60   4\r\n  10   4  -5 1702.77 1219.86   7\r\n -10   4   5 3606.31 897.405   6\r\n -10  -4  -4 421.820 767.898   5\r\n -10  -4  -4 140.301 1305.23   3\r\n  10  -4   4 394.010 759.599   4\r\n  10   4  -4-455.076 1028.55   7\r\n  10  -4   4 1705.77 742.807   7\r\n -10   4   4-36.7938 745.325   6\r\n -10  -4  -3 1050.87 855.686   5\r\n  10  -4   3 1463.05 493.817   7\r\n -10  -4  -3 1214.62 409.782   2\r\n -10  -4  -3 871.123 1112.94   3\r\n  10   4  -3 907.445 230.594   1\r\n  10  -4   3 7.34305 1023.27   4\r\n -10   4   3 2039.24 676.320   7\r\n  10   4  -3 2179.70 1048.44   7\r\n -10  -4  -3 1577.44 773.776   4\r\n -10   4   3 1813.33 961.729   6\r\n -10  -4  -2 9074.13 1371.85   5\r\n -10  -4  -2 11121.1 1428.27   4\r\n -10   4   2 7841.27 945.731   7\r\n  10  -4   2 9050.33 1499.40   4\r\n -10  -4  -2 10393.5 1163.25   2\r\n  10   4  -2 13191.7 1695.62   7\r\n -10   4   2 8965.90 1514.88   6\r\n -10  -4  -2 9377.69 1601.93   3\r\n -10  -4  -1 6921.13 1170.35   4\r\n -10   4   1 8116.51 614.111   7\r\n -10  -4  -1 7200.80 1100.50   2\r\n  10  -4   1 8230.00 1272.86   4\r\n -10   4   1 7594.65 1424.66   6\r\n -10  -4  -1 7075.99 1022.00   5\r\n  10   4   0 2333.17 453.833   5\r\n  10  -4   0 2816.70 780.016   1\r\n -10  -4   0 2624.57 799.372   2\r\n -10   4   0 2119.22 859.381   6\r\n -10  -4   0 2461.97 734.406   4\r\n  10  -4   0 1411.76 621.008   4\r\n  10   4   0 2211.64 961.963   4\r\n -10   4  -1 8219.80 1391.11   3\r\n  10  -4  -1 7311.60 890.614   4\r\n -10  -4   1 8830.43 1446.18   2\r\n -10   4  -1 6751.79 1400.37   6\r\n  10   4   1 8006.94 1391.42   4\r\n  10   4   1 7625.75 1014.52   5\r\n  10   4   2 9580.03 1370.08   5\r\n -10   4  -2 9928.21 1708.52   3\r\n  10  -4  -2 9975.78 797.465   4\r\n -10  -4   2 9995.56 1679.52   2\r\n -10   4  -2 8040.30 1481.60   6\r\n  10   4   2 9901.22 1481.02   4\r\n -10  -4   3 7.64729 638.080   2\r\n  10  -4  -3 1288.96 982.993   5\r\n -10   4  -3 971.218 1272.27   3\r\n -10   4  -3 707.410 755.100   6\r\n  10   4   3 428.130 808.329   4\r\n  10  -4  -4 597.071 846.423   5\r\n -10  -4   4 777.482 912.795   2\r\n  10   4   4 678.970 728.137   4\r\n  10  -4  -5 1696.34 972.163   5\r\n -10  -4   5-418.730 841.517   2\r\n  10   4   5 33.8567 652.046   4\r\n  10  -4  -6 2142.47 1173.04   5\r\n -10  -4   6 3275.04 1528.55   2\r\n  10   4   6 2666.75 907.257   4\r\n -10  -5  -5 510.063 836.110   5\r\n  10  -5   5-435.152 1275.34   4\r\n  10   5  -5 900.222 1116.88   7\r\n -10   5   5 1771.88 770.916   6\r\n -10  -5  -4 9738.04 1824.00   5\r\n -10  -5  -4 8714.58 1988.80   3\r\n  10  -5   4 9300.46 1868.72   4\r\n -10   5   4 8990.28 1630.21   6\r\n  10   5  -4 6406.89 1758.31   7\r\n -10  -5  -3 4365.24 1184.37   5\r\n -10  -5  -3 3737.22 1232.96   3\r\n -10  -5  -3 3756.03 726.916   2\r\n  10  -5   3 3653.99 1217.58   4\r\n  10   5  -3 4429.41 1284.69   7\r\n -10  -5  -3 3458.85 780.159   6\r\n -10   5   3 899.916 910.677   6\r\n -10   5   3 3689.23 964.131   7\r\n -10  -5  -2 13270.9 1800.82   3\r\n -10  -5  -2 10021.1 1498.54   5\r\n  10  -5   2 14012.0 1923.51   4\r\n -10   5   2 12825.7 1196.07   7\r\n -10   5   2 14420.4 2024.22   6\r\n -10  -5  -2 13119.1 1428.58   2\r\n  10   5  -2 13472.0 1861.44   7\r\n -10  -5  -1-34.0863 476.189   5\r\n  10  -5   1 333.029 716.377   4\r\n -10   5   1 475.622 223.039   7\r\n -10  -5  -1 230.952 540.624   2\r\n -10   5   1 262.578 458.448   6\r\n -10   5   0 1658.45 665.031   3\r\n  10  -5   0 1331.23 654.111   4\r\n -10  -5   0 2902.15 876.600   2\r\n -10   5   0 1281.73 688.245   6\r\n  10   5   0 621.860 1004.91   4\r\n -10  -5   0 1146.31 396.004   5\r\n  10   5   1 167.801 348.570   5\r\n -10   5  -1 226.023 666.662   3\r\n -10   5  -1-258.928 952.178   6\r\n  10  -5  -1 605.301 491.411   4\r\n -10  -5   1-1768.12 973.322   2\r\n  10   5   1 528.310 820.021   4\r\n -10   5  -2 13716.3 2101.68   6\r\n -10   5  -2 14041.5 2149.00   3\r\n  10  -5  -2 12934.8 890.834   4\r\n  10   5   2 13611.6 1874.87   4\r\n -10  -5   2 12125.3 1983.24   2\r\n  10   5   2 13332.3 1599.40   5\r\n  10  -5  -2 15528.6 1965.07   5\r\n  10  -5  -3 4887.61 1226.53   5\r\n -10  -5   3 3940.56 1281.14   2\r\n -10   5  -3 3137.96 1200.16   6\r\n  10   5   3 3650.21 1123.02   4\r\n  10  -5  -4 7288.02 1781.52   5\r\n -10  -5   4 9643.34 1803.61   2\r\n  10   5   4 7933.62 1476.61   4\r\n  10  -5  -5 1756.70 931.235   5\r\n -10  -5   5 183.079 1206.66   2\r\n  10   5   5 251.784 868.982   4\r\n -10  -6  -5-674.429 950.799   5\r\n  10  -6   5 445.189 1241.92   4\r\n  10   6  -5 115.680 853.517   7\r\n -10   6   5 3253.37 1045.22   6\r\n -10  -6  -4 1643.17 1124.97   5\r\n -10  -6  -4 1178.45 1096.67   3\r\n  10  -6   4 515.436 880.329   4\r\n  10   6  -4-127.733 920.361   7\r\n -10   6   4 388.994 641.368   6\r\n -10  -6  -3 9059.07 1601.68   5\r\n -10  -6  -3 11552.6 1836.31   3\r\n  10  -6   3 9434.91 2012.64   4\r\n  10   6  -3 9798.43 1790.65   7\r\n -10  -6  -3 9679.26 1281.17   2\r\n -10   6   3 11295.9 1884.12   6\r\n -10  -6  -2 958.329 646.375   5\r\n -10  -6  -2 637.560 871.347   3\r\n  10  -6   2 81.7457 730.643   4\r\n -10  -6  -2 209.676 525.285   2\r\n -10   6   2 1628.48 911.442   6\r\n  10   6  -2 560.260 423.115   1\r\n  10   6  -2 237.052 746.623   7\r\n -10  -6  -1 1719.73 641.846   5\r\n -10   6   1 1133.88 484.142   3\r\n  10  -6   1 2119.57 776.093   4\r\n -10   6   1 1256.98 286.568   7\r\n -10  -6  -1 978.344 867.707   2\r\n -10   6   1 1986.26 748.070   6\r\n -10  -6   0 145.644 368.537   5\r\n -10   6   0 1337.43 550.620   3\r\n  10  -6   0 816.236 573.919   4\r\n -10  -6   0 83.6472 842.682   2\r\n -10   6   0 784.808 736.590   6\r\n -10   6  -1 1206.08 836.655   3\r\n  10  -6  -1 1110.30 469.916   4\r\n -10  -6   1 1854.24 967.233   2\r\n -10   6  -1 1418.01 903.818   6\r\n  10  -6  -2 1408.95 930.794   5\r\n -10   6  -2 695.515 1011.73   3\r\n -10  -6   2 1391.73 995.251   2\r\n  10  -6  -2 447.370 284.893   4\r\n -10   6  -2-494.137 931.957   6\r\n  10   6   2 259.170 892.653   4\r\n  10  -6  -3 9328.98 1791.22   5\r\n -10  -6   3 11916.5 2235.28   2\r\n  10   6   3 9935.01 1793.03   4\r\n  10  -6  -4 718.521 961.249   5\r\n -10  -6   4 1092.77 899.477   2\r\n  10   6   4 1193.04 868.517   4\r\n  10  -6  -5 613.491 706.790   5\r\n -10  -6   5 454.016 1109.73   2\r\n  10   6   5 1117.07 804.439   1\r\n -10  -7  -4-599.866 1322.18   5\r\n  10   7  -4 1449.25 940.915   7\r\n -10   7   4 260.004 639.339   6\r\n  10  -7   4 2214.72 1170.09   4\r\n -10  -7  -3 2290.25 933.505   5\r\n  10  -7   3 1679.43 1073.11   4\r\n -10   7   3 1402.11 961.225   6\r\n  10   7  -3 732.098 831.845   7\r\n -10  -7  -2 314.989 627.949   5\r\n  10  -7   2 3281.05 1245.80   4\r\n  10   7  -2 2517.83 1169.65   7\r\n -10  -7  -2 1787.47 953.056   2\r\n -10   7   2 1967.95 959.410   6\r\n -10  -7  -1 89.7413 681.588   5\r\n  10  -7   1 87.2934 768.662   4\r\n -10   7   1 239.182 734.953   6\r\n -10  -7  -1 645.981 856.062   2\r\n  10   7  -1-538.875 502.428   1\r\n -10  -7   0 837.341 498.762   5\r\n -10   7   0 519.534 572.886   3\r\n  10   7   0 1150.19 750.410   1\r\n -10   7   0 340.020 929.197   6\r\n  10  -7   0 1112.52 776.786   4\r\n -10  -7   0 1537.87 1113.40   2\r\n  10  -7  -1 450.885 474.731   4\r\n -10   7  -1 1492.63 926.449   6\r\n -10  -7   1 104.645 1069.80   2\r\n  10   7   1 91.4460 792.311   1\r\n  10  -7  -2 2059.39 1013.16   5\r\n -10  -7   2 2333.43 1344.41   2\r\n  10   7   2 1714.44 812.976   1\r\n  10  -7  -3 3235.71 1160.74   5\r\n -10  -7   3 1942.77 1317.28   2\r\n  10   7   3 1261.97 1022.54   1\r\n  10   7   3 863.554 1162.92   4\r\n  10  -7  -4 3053.95 1348.57   5\r\n  10   7   4 1201.01 858.581   1\r\n -10  -7   4 2619.26 1441.05   2\r\n -10  -8  -3 1753.80 708.325   5\r\n  10   8  -3 1626.23 1101.15   7\r\n -10   8   3 594.441 612.698   6\r\n -10  -8  -2 933.190 769.389   5\r\n  10   8  -2 757.829 876.474   7\r\n -10   8   2 1881.43 1012.56   6\r\n -10  -8  -2-680.677 959.870   2\r\n -10  -8  -1-991.571 699.330   5\r\n  10   8  -1 430.650 375.878   1\r\n -10   8   1-710.586 923.535   6\r\n  10  -8   1-237.224 1012.60   4\r\n -10  -8  -1 358.587 1055.43   2\r\n  10  -8   0-2562.25 1004.12   4\r\n -10   8   0 200.633 801.152   6\r\n -10  -8   0-1551.66 1129.96   2\r\n  10   8   0 242.148 791.682   1\r\n  10  -8  -1 419.731 743.346   5\r\n -10  -8   1-1015.98 1213.65   2\r\n  10   8   1-1763.14 1165.75   1\r\n  10  -8  -2 1113.68 786.074   5\r\n -10  -8   2-5.95776 1160.04   2\r\n  10   8   2 394.873 704.065   1\r\n  10  -8  -3-2208.49 1193.02   5\r\n -10  -8   3-395.730 738.181   2\r\n  10   8   3-1352.35 947.817   1\r\n  10   9   0 1846.16 1066.71   1\r\n -10  -9   0 2805.17 1435.86   2\r\n  11   0   0-12.9987 433.136   2\r\n  11   0   0-1242.70 745.256   4\r\n -11   0   0-58.1342 329.188   4\r\n -11   0   0 38.0767 516.699   2\r\n -11   0  -1 29111.6 2080.48   4\r\n -11   0   1 27008.8 1798.42   4\r\n  11   0  -1 25142.9 1796.34   4\r\n -11   0  -1 26115.8 1634.49   2\r\n  11   0  -1 24615.9 1606.49   7\r\n -11   0   1 23658.7 1906.53   2\r\n  11   0   1 24730.9 1681.12   2\r\n -11   0  -1 22590.9 1825.32   6\r\n -11   0  -2 21097.9 1955.25   4\r\n -11   0   2 18399.9 1560.73   4\r\n  11   0  -2 18894.0 1654.46   7\r\n  11   0  -2 22251.2 1773.22   4\r\n -11   0   2 21351.2 1940.19   2\r\n  11   0   2 20084.8 1417.94   2\r\n -11   0  -2 21444.2 1729.77   6\r\n  11   0   2 21401.2 1789.38   5\r\n -11   0  -3 11738.9 2117.50   3\r\n -11   0  -3 15205.3 1858.56   4\r\n  11   0  -3 12703.0 1262.76   1\r\n  11   0   3 12531.8 1639.04   4\r\n -11   0   3 13208.0 1358.62   4\r\n  11   0  -3 13402.4 1662.94   7\r\n -11   0   3 13174.0 1486.85   7\r\n  11   0   3 13521.6 1071.21   2\r\n -11   0   3 15074.5 1750.93   2\r\n  11   0  -3 12916.5 1646.79   2\r\n -11   0  -3 13416.1 1315.34   6\r\n  11   0  -3 13364.7 1324.01   5\r\n  11   0  -4 16574.3 1548.86   1\r\n -11   0  -4 18517.5 2785.89   3\r\n  11   0   4 16553.1 2016.07   4\r\n -11   0   4 15743.1 1654.12   4\r\n  11   0  -4 17613.0 2149.35   7\r\n -11   0   4 18350.5 2109.95   2\r\n  11   0   4 17807.9 1081.00   2\r\n -11   0  -4 18058.9 1516.40   6\r\n  11   0  -4 16664.0 1712.83   5\r\n -11   0   5 11576.2 1895.57   2\r\n  11   0  -5 12419.5 1831.39   5\r\n  11   0  -5 14986.1 2281.74   7\r\n  11   0   5 14712.9 2174.82   4\r\n -11   0  -5 8360.56 2134.86   3\r\n -11   0   5 12318.1 1515.06   4\r\n  11   0  -6 3617.99 1189.94   5\r\n  11   0  -6 2689.04 1406.44   7\r\n  11   0   6 4645.68 1550.37   4\r\n -11   0   6 4295.78 1317.87   2\r\n  11   1  -6 4717.72 1076.80   5\r\n  11  -1   6 2689.24 1323.08   4\r\n  11   1  -6 4819.76 1566.98   7\r\n -11   1   6 1566.95 963.909   2\r\n  11   1  -5 6234.08 1128.93   5\r\n -11  -1  -5 3248.86 1999.61   3\r\n  11   1  -5 5945.74 1638.29   7\r\n  11  -1   5 5192.75 1564.50   4\r\n -11   1   5 5915.94 1032.06   4\r\n -11   1   5 5968.67 1401.41   2\r\n  11   1  -4 2539.20 571.739   1\r\n  11   1  -4 1824.61 670.013   5\r\n -11  -1  -4 3064.10 1408.25   3\r\n  11  -1   4 2511.71 798.419   7\r\n  11   1  -4 2312.52 936.003   7\r\n  11  -1   4 1821.39 929.811   4\r\n -11  -1  -4 1708.69 466.737   6\r\n -11   1   4 2029.79 527.989   4\r\n  11  -1   4 1737.83 519.528   2\r\n -11   1   4 2683.89 932.569   2\r\n -11  -1  -3 7764.33 1665.08   3\r\n  11   1  -3 9655.95 1000.93   1\r\n -11   1   3 8732.55 1042.91   4\r\n  11  -1   3 7866.88 1081.92   7\r\n  11  -1   3 9530.90 1043.10   2\r\n -11   1   3 9060.31 1298.79   7\r\n -11  -1  -3 9728.99 1388.44   4\r\n  11   1  -3 8590.16 1360.63   7\r\n  11  -1   3 8218.75 1413.87   4\r\n -11  -1  -3 8732.60 1007.34   6\r\n -11   1   3 8014.31 1413.13   2\r\n  11   1  -3 8506.91 952.293   5\r\n -11   1   2 43313.6 2187.34   7\r\n -11  -1  -2 47262.8 2837.57   4\r\n -11   1   2 42264.5 2131.80   4\r\n -11  -1  -2 44193.2 1790.00   2\r\n  11   1  -2 44085.7 2710.03   4\r\n -11   1   2 44845.0 2678.51   2\r\n  11   1  -2 46721.8 2547.28   7\r\n -11  -1  -2 41624.5 2224.54   6\r\n  11  -1   2 38924.7 2073.35   2\r\n  11   1  -2 42299.2 1655.49   5\r\n -11  -1  -1 47313.9 2617.24   4\r\n -11   1   1 41896.3 2140.17   4\r\n  11   1  -1 45059.4 2557.31   4\r\n -11   1   1 44231.6 2523.54   2\r\n  11   1  -1 47405.6 2402.66   7\r\n  11  -1   1 44803.8 2307.84   2\r\n -11  -1  -1 46871.4 2146.34   2\r\n  11  -1   0 1240.39 533.593   2\r\n -11  -1   0 545.404 480.894   2\r\n  11   1   0 1002.08 547.368   2\r\n -11   1   0 937.216 465.094   4\r\n -11  -1   0 575.442 424.508   4\r\n  11  -1   0 839.581 510.146   4\r\n -11   1   0 1047.60 619.243   2\r\n -11   1   0 1295.60 771.978   6\r\n -11   1  -1 43696.2 2559.32   4\r\n -11  -1   1 45598.5 2488.19   4\r\n  11  -1  -1 45453.2 2218.48   4\r\n  11  -1  -1 44394.6 1961.21   7\r\n -11  -1   1 41185.5 2530.12   2\r\n  11   1   1 43564.0 2240.12   2\r\n -11   1  -1 48662.1 2676.39   6\r\n  11   1   1 43743.2 2216.46   5\r\n -11   1  -2 41636.5 2787.47   4\r\n  11   1   2 40361.1 2524.02   4\r\n -11  -1   2 43722.9 2483.94   4\r\n  11  -1  -2 43243.2 2208.05   4\r\n  11  -1  -2 38799.2 2261.52   7\r\n -11  -1   2 44770.9 2814.13   2\r\n -11   1  -2 40143.6 2454.28   6\r\n  11  -1  -2 41686.4 2246.24   1\r\n  11   1   2 44324.1 1963.80   2\r\n  11   1   2 39852.5 2508.59   5\r\n -11  -1   3 9191.24 1509.62   2\r\n  11  -1  -3 7272.44 1147.80   5\r\n -11   1  -3 5784.05 1572.58   3\r\n  11  -1  -3 9899.48 1245.25   1\r\n  11  -1  -3 8382.46 1365.14   2\r\n -11  -1   3 9369.07 1314.35   4\r\n  11  -1  -3 9801.77 1373.42   7\r\n  11   1   3 9796.29 791.397   2\r\n -11   1  -3 9022.00 1213.00   6\r\n  11   1   3 8718.58 1428.62   4\r\n  11  -1  -4 1879.90 658.159   1\r\n -11  -1   4 1742.91 1040.96   2\r\n  11  -1  -4 2552.86 812.343   5\r\n -11   1  -4 3137.16 1341.37   3\r\n  11  -1  -4 2106.48 1056.02   7\r\n  11   1   4 2469.70 1096.89   4\r\n -11   1  -4 1461.42 717.524   6\r\n -11  -1   4 3228.63 850.741   4\r\n  11  -1  -5 7891.43 1541.34   5\r\n -11  -1   5 6106.63 1475.23   2\r\n  11  -1  -5 8552.52 1866.12   7\r\n  11   1   5 5091.02 1484.03   4\r\n -11  -1   6 3665.96 1183.65   2\r\n  11  -1  -6 1779.95 1077.03   5\r\n  11  -1  -6 3549.10 1380.52   7\r\n  11   1   6 3418.02 1342.95   4\r\n  11  -2   6 1534.86 1247.96   4\r\n -11   2   6 2910.02 968.248   2\r\n -11   2   6 1554.19 960.277   6\r\n  11   2  -6 3643.58 1368.52   7\r\n  11   2  -5 5733.82 984.967   5\r\n  11  -2   5 5884.21 1564.78   4\r\n -11  -2  -5 4709.42 1990.01   3\r\n  11   2  -5 7079.97 1694.07   7\r\n -11   2   5 6250.32 1371.04   2\r\n -11  -2  -4 21511.2 2975.88   3\r\n  11  -2   4 21314.6 2525.87   4\r\n -11   2   4 23293.5 1477.37   4\r\n  11  -2   4 22202.4 2002.32   7\r\n -11   2   4 22257.3 2289.65   2\r\n -11  -2  -4 24366.6 1033.96   6\r\n  11  -2   4 24763.5 2251.49   6\r\n  11   2  -4 22868.9 1559.87   5\r\n  11   2  -4 25151.9 2600.55   7\r\n  11   2  -4 20918.8 1284.04   1\r\n -11  -2  -3 19015.7 2384.61   3\r\n -11  -2  -3 19381.2 2016.64   4\r\n  11  -2   3 18743.1 2066.03   4\r\n -11   2   3 18207.6 1329.39   4\r\n  11  -2   3 18720.1 1587.62   2\r\n  11   2  -3 18616.1 1236.93   1\r\n -11   2   3 18336.3 1941.18   2\r\n  11   2  -3 17317.9 2005.85   7\r\n -11   2   3 19172.2 1691.76   7\r\n -11  -2  -3 20148.7 1367.71   6\r\n  11  -2   3 20053.8 1991.10   6\r\n  11   2  -3 17218.2 1077.66   5\r\n  11  -2   3 17933.1 1551.51   7\r\n  11  -2   2 6585.73 1010.45   2\r\n -11  -2  -2 8996.93 1278.95   4\r\n -11   2   2 5901.85 797.320   4\r\n -11   2   2 7521.62 899.122   7\r\n -11  -2  -2 6752.10 774.551   2\r\n  11  -2   2 6988.69 1249.26   4\r\n  11   2  -2 6637.99 1131.44   7\r\n -11   2   2 5717.22 1070.32   2\r\n  11   2  -2 5137.88 1144.55   2\r\n  11  -2   2 5689.21 1159.66   6\r\n -11   2   2 5196.86 1117.76   6\r\n  11  -2   2 7137.24 811.370   7\r\n  11   2  -2 6369.27 512.463   5\r\n  11   2  -2 5975.97 1289.73   4\r\n -11   2   1 18701.9 1465.76   4\r\n  11  -2   1 21287.3 1822.96   4\r\n -11  -2  -1 23570.3 1910.91   4\r\n -11  -2  -1 19105.1 1484.24   2\r\n -11   2   1 16551.3 1649.56   2\r\n -11   2   1 18279.7 1872.35   6\r\n  11   2  -1 20395.0 1955.64   2\r\n  11  -2   1 22145.5 1728.13   2\r\n -11  -2   0 7371.01 1091.60   2\r\n -11   2   0 6190.88 996.029   4\r\n  11  -2   0 6339.09 972.117   4\r\n  11   2   0 6838.48 1086.89   2\r\n -11  -2   0 6182.21 1014.09   4\r\n -11   2   0 5306.18 1115.94   6\r\n  11  -2   0 7222.44 594.493   7\r\n  11   2   0 6717.02 781.751   5\r\n -11   2  -1 18545.8 1785.29   4\r\n  11  -2  -1 19964.7 1434.40   4\r\n -11  -2   1 18014.4 1678.58   4\r\n  11  -2  -1 19966.5 1288.24   7\r\n -11   2  -1 18208.3 1842.34   6\r\n  11   2   1 19765.3 1569.01   2\r\n  11   2   1 18083.1 1531.07   5\r\n -11  -2   1 18104.2 1830.92   2\r\n  11   2   2 8040.14 1241.96   5\r\n  11  -2  -2 7130.82 1228.12   2\r\n -11   2  -2 7724.59 1543.60   3\r\n  11  -2  -2 6253.06 992.794   1\r\n -11  -2   2 8723.60 1225.18   4\r\n  11  -2  -2 5731.25 821.997   4\r\n -11   2  -2 8561.74 1416.56   4\r\n  11  -2  -2 6932.29 989.942   7\r\n -11  -2   2 9524.83 1414.40   2\r\n  11   2   2 5692.78 1058.80   4\r\n -11   2  -2 7686.39 1245.88   6\r\n -11   2  -3 18863.2 2562.38   3\r\n  11  -2  -3 16241.8 1694.77   1\r\n  11   2   3 17667.2 1856.46   4\r\n -11  -2   3 18366.8 2144.97   2\r\n  11  -2  -3 17438.0 1865.30   7\r\n -11   2  -3 19889.7 1963.82   6\r\n  11  -2  -3 17016.1 1772.53   5\r\n -11   2  -4 20679.8 3036.99   3\r\n  11   2   4 21832.3 2266.82   4\r\n  11  -2  -4 22652.1 2457.41   7\r\n -11  -2   4 22519.9 2471.36   2\r\n -11   2  -4 23372.1 2188.15   6\r\n  11  -2  -4 19704.7 2155.41   5\r\n  11  -2  -5 6725.02 1516.96   5\r\n -11  -2   5 5244.72 1524.63   2\r\n  11  -2  -5 6850.99 1627.13   7\r\n  11   2   5 6250.97 1486.99   4\r\n  11  -2  -6 2642.76 1268.76   5\r\n -11  -2   6 1222.59 874.416   2\r\n  11  -2  -6 2391.57 1374.71   7\r\n  11   2   6 1685.72 1096.19   4\r\n  11   3  -6 45.8515 718.670   7\r\n  11  -3   6 1422.39 1262.90   4\r\n -11   3   6 643.270 757.611   6\r\n -11  -3  -5 407.027 1189.76   3\r\n  11   3  -5 1617.66 1155.81   7\r\n  11  -3   5 2498.97 1160.08   4\r\n -11   3   5 1820.89 938.854   6\r\n -11  -3  -5 1861.96 1215.43   5\r\n  11   3  -4 1394.35 1103.59   7\r\n  11  -3   4 1374.80 806.407   7\r\n -11  -3  -4 1948.07 1344.93   3\r\n  11  -3   4 1907.64 1330.62   4\r\n -11   3   4 1203.51 289.539   4\r\n -11   3   4 2348.57 913.140   6\r\n  11   3  -4 1601.84 279.898   1\r\n -11  -3  -4 1493.15 915.280   5\r\n -11  -3  -3 16849.7 2343.71   3\r\n -11   3   3 22557.6 1243.78   4\r\n  11  -3   3 22536.5 2447.37   4\r\n -11  -3  -3 23891.8 2243.08   4\r\n  11  -3   3 23067.4 1601.06   7\r\n -11  -3  -3 24384.7 1037.72   2\r\n -11   3   3 22523.7 1829.49   7\r\n  11   3  -3 22586.3 2263.26   7\r\n -11   3   3 21601.4 2294.21   6\r\n  11   3  -3 22269.2 1169.36   1\r\n -11  -3  -3 21008.5 2172.43   5\r\n -11   3   2 26709.8 1559.01   4\r\n  11  -3   2 24928.0 2274.50   4\r\n -11  -3  -2 26655.2 2218.78   4\r\n  11  -3   2 25472.8 1219.32   7\r\n -11   3   2 25459.4 1568.18   7\r\n  11   3  -2 24196.7 2136.44   7\r\n -11  -3  -2 24239.3 1550.07   2\r\n -11   3   2 26987.9 2469.03   6\r\n  11  -3   2 27243.3 2395.16   6\r\n -11   3   1 30424.2 1943.36   4\r\n  11  -3   1 30666.0 2283.48   4\r\n -11  -3  -1 29857.8 2242.51   4\r\n -11  -3  -1 31431.7 2028.56   2\r\n -11   3   1 30742.1 2490.38   6\r\n  11  -3   1 34358.5 2633.50   6\r\n  11  -3   1 33278.5 2254.20   2\r\n -11   3   0 198596. 5321.46   4\r\n  11  -3   0 201709. 4918.70   4\r\n -11  -3   0 196172. 5561.77   4\r\n  11  -3   0 210787. 5646.57   2\r\n  11   3   0 209130. 5987.99   4\r\n -11  -3   0 204375. 5512.14   2\r\n -11   3   0 208834. 6207.35   6\r\n  11   3   0 205386. 3814.47   5\r\n -11   3  -1 31028.9 2579.72   3\r\n -11  -3   1 32229.3 2483.67   2\r\n  11  -3  -1 34029.0 1820.69   4\r\n -11  -3   1 30455.9 2306.83   4\r\n  11  -3  -1 32456.8 1494.17   7\r\n  11  -3  -1 32379.6 2205.77   1\r\n  11   3   1 31418.9 2373.44   4\r\n  11  -3  -1 28675.3 2291.75   2\r\n -11   3  -1 33583.3 2626.81   6\r\n  11   3   1 32397.5 1997.51   5\r\n -11   3  -2 25862.4 2674.42   3\r\n  11   3   2 23182.2 2064.26   4\r\n  11  -3  -2 25806.3 1432.94   4\r\n  11  -3  -2 24451.6 1758.62   7\r\n -11  -3   2 26418.9 2428.22   2\r\n -11   3  -2 27213.0 2389.31   6\r\n  11   3   2 26786.4 2178.75   5\r\n -11   3  -3 20504.7 2775.12   3\r\n  11   3   3 27083.8 2330.56   4\r\n  11  -3  -3 21430.9 1979.12   7\r\n -11  -3   3 20757.5 2328.76   2\r\n -11   3  -3 22457.7 2279.69   6\r\n  11  -3  -3 22915.7 2227.30   5\r\n  11  -3  -4 493.232 873.663   5\r\n -11   3  -4 1994.09 1524.97   3\r\n -11  -3   4 1233.35 1026.19   2\r\n  11  -3  -4 1380.76 784.521   7\r\n  11   3   4 2377.57 946.928   4\r\n  11  -3  -5 3115.79 1070.94   5\r\n -11  -3   5 2906.74 1053.34   2\r\n  11  -3  -5 2767.53 1229.57   7\r\n  11   3   5 1976.02 963.643   4\r\n  11  -3  -6 2589.39 943.378   5\r\n -11  -3   6-261.157 691.064   2\r\n  11  -3  -6 773.641 1129.92   7\r\n  11   3   6-371.563 1040.57   4\r\n  11   4  -6 1073.12 1156.63   7\r\n  11  -4   6 1659.66 1348.00   4\r\n -11  -4  -6 2844.94 1308.78   5\r\n -11  -4  -5 973.415 1545.64   3\r\n  11  -4   5 7289.08 1895.64   4\r\n  11   4  -5 8182.07 1887.70   7\r\n -11   4   5 4148.98 1224.46   6\r\n -11  -4  -5 4560.81 1502.52   5\r\n -11  -4  -4 5549.16 1582.90   3\r\n  11  -4   4 5856.88 1667.02   4\r\n  11   4  -4 4666.74 1532.24   7\r\n  11  -4   4 6500.90 1064.34   7\r\n -11   4   4 7527.21 1502.30   6\r\n -11  -4  -4 5769.22 1439.86   5\r\n -11  -4  -3 12450.5 2093.62   3\r\n -11   4   3 13338.4 1528.10   7\r\n  11  -4   3 13471.3 1050.32   7\r\n  11  -4   3 9076.43 1798.30   4\r\n -11  -4  -3 10497.7 871.115   2\r\n  11   4  -3 9739.84 1675.25   7\r\n -11   4   3 11310.1 1809.84   6\r\n -11  -4  -3 11696.1 1800.00   5\r\n  11  -4   2 11845.4 1716.44   4\r\n -11  -4  -2 12308.9 1299.27   2\r\n -11  -4  -2 14453.0 1643.02   4\r\n  11   4  -2 14539.4 1795.58   7\r\n -11   4   2 12897.6 1149.52   7\r\n -11   4   2 11722.8 1728.25   6\r\n -11  -4  -2 11596.2 1466.94   5\r\n  11  -4   1 19532.9 1954.60   4\r\n -11  -4  -1 20012.8 1992.01   4\r\n -11  -4  -1 18211.2 1728.31   2\r\n -11   4   1 21034.1 2234.34   6\r\n -11  -4  -1 16796.3 1498.63   5\r\n  11   4   0 18494.0 2104.73   4\r\n  11  -4   0 21779.1 1791.25   4\r\n -11  -4   0 16082.8 1798.87   2\r\n -11   4   0 20389.8 2231.81   6\r\n  11   4   0 17109.7 1105.27   5\r\n -11   4  -1 17730.6 2157.09   3\r\n  11  -4  -1 18072.2 1409.35   4\r\n  11   4   1 18487.7 2011.82   4\r\n -11  -4   1 20689.3 2193.97   2\r\n -11   4  -1 18295.2 2116.67   6\r\n  11   4   1 18413.3 1516.29   5\r\n -11   4  -2 11979.0 1967.39   3\r\n  11  -4  -2 13752.5 1009.84   4\r\n  11   4   2 13899.9 1765.25   4\r\n -11  -4   2 11157.8 1836.43   2\r\n  11   4   2 14474.0 1603.12   5\r\n  11  -4  -3 11334.5 1766.14   5\r\n -11   4  -3 10435.3 2076.32   3\r\n -11  -4   3 11315.1 2021.90   2\r\n -11   4  -3 9923.97 1728.85   6\r\n  11   4   3 10669.7 1675.14   4\r\n  11  -4  -4 7164.09 1513.76   5\r\n -11  -4   4 5318.28 1616.43   2\r\n  11   4   4 5858.79 1290.43   4\r\n  11  -4  -5 5261.52 1462.57   5\r\n -11  -4   5 5574.84 1367.93   2\r\n  11   4   5 5046.36 1402.40   4\r\n  11  -4  -6 704.074 1346.91   5\r\n -11  -4   6 4037.70 1335.03   2\r\n  11   4   6 1424.12 578.579   4\r\n -11  -5  -5 1243.61 1214.30   5\r\n  11  -5   5 1265.46 914.529   4\r\n  11   5  -5 906.547 901.857   7\r\n -11   5   5 2148.63 774.973   6\r\n -11  -5  -4-81.2156 580.372   5\r\n -11  -5  -4 590.870 1108.72   3\r\n  11  -5   4 1006.57 950.155   4\r\n  11   5  -4 2270.13 1183.76   7\r\n -11   5   4 1245.69 801.392   6\r\n -11  -5  -3 2899.45 1119.28   5\r\n -11  -5  -3 5438.02 1382.72   3\r\n  11  -5   3 4673.99 1424.48   4\r\n -11  -5  -3 1763.30 607.242   2\r\n -11   5   3 616.759 706.254   7\r\n  11   5  -3 3482.33 1163.89   7\r\n -11   5   3 3946.19 1245.23   6\r\n  11   5  -3 2931.93 364.814   1\r\n -11  -5  -2 7313.26 1307.01   5\r\n -11  -5  -2 7179.65 1541.64   3\r\n -11   5   2 8887.23 980.208   7\r\n  11   5  -2 9667.26 1566.47   7\r\n -11  -5  -2 7391.10 1166.17   2\r\n  11  -5   2 7827.46 1574.16   4\r\n -11   5   2 9541.11 1618.31   6\r\n  11  -5   1 18898.4 2008.45   4\r\n -11   5   1 16574.2 704.673   7\r\n -11   5   1 15498.5 2114.97   6\r\n -11  -5  -1 19105.8 1917.99   2\r\n -11  -5  -1 19472.7 1700.08   5\r\n -11   5   0 6072.28 1158.62   3\r\n  11  -5   0 5354.60 1043.39   4\r\n -11  -5   0 6548.24 1353.35   2\r\n -11   5   0 5558.77 1338.74   6\r\n  11   5   0 5771.52 1381.77   4\r\n -11   5  -1 18505.3 2160.87   3\r\n  11  -5  -1 17145.7 1467.57   4\r\n  11   5   1 17865.1 2177.27   4\r\n -11   5  -1 16393.0 2302.83   6\r\n -11  -5   1 20112.5 2308.48   2\r\n  11   5   1 17810.1 1506.65   5\r\n  11  -5  -2 8998.89 1595.28   5\r\n -11   5  -2 8444.64 1799.71   3\r\n  11  -5  -2 8604.20 795.504   4\r\n -11  -5   2 8194.93 1709.25   2\r\n -11   5  -2 7668.45 1582.60   6\r\n  11   5   2 8970.74 1593.30   4\r\n  11   5   2 9761.96 1366.76   5\r\n  11  -5  -3 3047.85 1073.96   5\r\n -11   5  -3 722.776 1036.93   3\r\n -11   5  -3 2259.26 983.860   6\r\n  11   5   3 2532.69 1017.12   4\r\n -11  -5   3 1892.89 1205.74   2\r\n  11  -5  -4 2466.73 1230.07   5\r\n -11  -5   4 638.455 945.180   2\r\n  11   5   4 2370.39 1070.22   4\r\n  11  -5  -5 1275.39 1028.71   5\r\n -11  -5   5 166.831 983.543   2\r\n  11   5   5 1776.52 885.821   4\r\n -11  -6  -5 824.344 1046.76   5\r\n  11   6  -5 431.639 1188.62   7\r\n -11   6   5-761.993 716.326   6\r\n -11  -6  -4 4320.71 1389.80   5\r\n -11  -6  -4-285.397 1277.20   3\r\n  11  -6   4 417.856 1273.66   4\r\n  11   6  -4 1805.66 1017.53   7\r\n -11   6   4 2068.95 942.539   6\r\n -11  -6  -3 4228.79 1233.99   5\r\n -11  -6  -3 5898.26 1683.67   3\r\n -11  -6  -3 4351.44 966.121   2\r\n  11  -6   3 4582.51 1644.42   4\r\n -11   6   3 4570.09 1385.39   6\r\n  11   6  -3 3876.25 1418.44   7\r\n -11  -6  -2 15047.1 2014.53   3\r\n  11  -6   2 18181.1 2353.19   4\r\n  11   6  -2 15081.3 2059.99   7\r\n -11  -6  -2 16747.1 1856.11   2\r\n -11   6   2 14839.8 2208.42   6\r\n -11  -6  -2 14233.9 1867.97   5\r\n  11   6  -2 15660.9 1332.24   1\r\n -11  -6  -1 1677.86 687.496   5\r\n -11   6   1 1173.43 627.871   3\r\n  11  -6   1 2314.09 991.079   4\r\n -11  -6  -1 2980.14 1034.48   2\r\n -11   6   1 2691.54 1033.18   6\r\n -11   6   0 524.631 664.976   3\r\n  11  -6   0 414.250 597.650   4\r\n -11  -6   0 504.338 679.312   2\r\n -11   6   0 433.656 694.343   6\r\n -11  -6   0 1571.40 374.965   5\r\n -11   6  -1 3668.68 983.513   3\r\n  11  -6  -1 3442.32 827.145   4\r\n -11  -6   1 3034.08 1231.78   2\r\n -11   6  -1 1475.85 1166.24   6\r\n  11   6   1 866.386 1216.02   4\r\n  11  -6  -2 14125.4 2071.06   5\r\n  11  -6  -2 15065.3 1027.32   4\r\n  11   6   2 16933.3 2363.86   4\r\n -11  -6   2 14537.8 2402.02   2\r\n -11   6  -2 13511.8 2302.57   6\r\n  11  -6  -3 4416.48 1425.32   5\r\n -11  -6   3 5663.66 1550.52   2\r\n  11   6   3 3917.69 1352.60   4\r\n  11  -6  -4 2827.01 1284.91   5\r\n -11  -6   4 1342.27 992.651   2\r\n  11   6   4 4934.20 1265.39   4\r\n  11  -6  -5 4766.99 1398.52   5\r\n -11  -6   5 1801.73 1196.15   2\r\n -11  -7  -4-2065.07 983.209   5\r\n  11  -7   4 601.169 1026.90   4\r\n  11   7  -4 286.316 624.377   7\r\n -11  -7  -3-105.210 924.578   5\r\n  11  -7   3 597.124 846.262   4\r\n  11   7  -3-129.972 769.744   7\r\n -11   7   3-1534.54 1118.96   6\r\n -11  -7  -2 2117.70 688.607   5\r\n  11  -7   2 495.242 1004.88   4\r\n -11  -7  -2 1627.22 850.736   2\r\n  11   7  -2 1877.13 1015.72   7\r\n -11   7   2 2282.51 1181.76   6\r\n -11  -7  -1 7786.19 1312.44   5\r\n  11  -7   1 8532.05 1650.72   4\r\n  11   7  -1 7458.93 1261.61   1\r\n -11  -7  -1 10695.5 1851.87   2\r\n -11   7   1 7335.49 1737.33   6\r\n -11   7   0 7715.83 1436.69   3\r\n  11  -7   0 7944.27 1446.75   4\r\n -11  -7   0 9967.77 1939.72   2\r\n -11   7   0 10650.0 2021.70   6\r\n  11   7   0 6731.37 1300.64   1\r\n -11  -7   0 8339.44 1013.42   5\r\n  11  -7  -1 9291.52 1225.16   4\r\n -11  -7   1 8827.24 1950.82   2\r\n -11   7  -1 9520.49 2011.77   6\r\n  11  -7  -2 866.764 985.257   5\r\n -11  -7   2 3390.62 1151.13   2\r\n  11  -7  -3 460.820 761.167   5\r\n  11   7   3 622.977 1007.76   4\r\n  11   7   4 561.437 1034.52   1\r\n -11  -7   4 921.773 1073.56   2\r\n -11  -8  -2-430.723 708.576   5\r\n  11  -8   2 685.009 591.476   4\r\n  11   8  -2 425.906 778.762   7\r\n -11  -8  -2-1368.42 848.956   2\r\n -11   8   2-639.677 898.919   6\r\n  11  -8   1 497.206 917.337   4\r\n -11  -8  -1 2618.63 1180.78   2\r\n -11   8   1 1185.35 963.023   6\r\n  11  -8   0 909.768 832.052   4\r\n -11   8   0 2044.36 1224.59   6\r\n -11  -8   0 2801.61 1386.45   2\r\n  11   8   0-71.0460 962.475   1\r\n  11  -8  -1 284.708 941.535   5\r\n  11   8   1 2641.67 1075.66   1\r\n -11  -8   1 486.036 1001.06   2\r\n  11  -8  -2-707.045 1252.02   5\r\n  11   8   2 662.476 1016.60   1\r\n -11  -8   2-922.078 870.079   2\r\n -12   0   0 58262.3 2842.25   4\r\n  12   0   0 50572.8 2626.82   4\r\n -12   0   0 56669.6 2703.91   2\r\n  12   0   0 56486.7 2802.53   2\r\n -12   0  -1 42656.8 2613.26   4\r\n -12   0   1 45249.3 2422.48   4\r\n  12   0  -1 46031.6 2465.98   4\r\n -12   0  -1 40235.5 2086.89   2\r\n  12   0  -1 43443.4 2151.79   7\r\n -12   0   1 42334.8 2561.23   2\r\n  12   0   1 37531.7 2173.87   2\r\n -12   0  -1 35854.2 2384.26   6\r\n -12   0  -2 72480.4 3630.66   4\r\n -12   0   2 70984.4 3050.33   4\r\n  12   0  -2 64486.1 3046.20   4\r\n  12   0  -2 56998.0 2826.02   7\r\n -12   0   2 62489.1 3316.48   2\r\n  12   0   2 59627.6 2539.05   2\r\n -12   0  -2 63646.9 2983.67   6\r\n  12   0   2 59601.4 3029.05   5\r\n -12   0   3 537.970 783.093   2\r\n  12   0   3 1285.57 486.890   2\r\n -12   0  -3 518.394 1120.02   3\r\n  12   0  -3 1260.11 526.436   5\r\n  12   0  -3 1298.00 521.037   1\r\n  12   0  -3 1418.49 690.076   7\r\n -12   0   3 79.1529 700.877   7\r\n  12   0   3 1011.94 690.990   4\r\n -12   0   3 862.812 421.909   4\r\n -12   0  -3 445.110 405.580   6\r\n -12   0   4 1565.54 943.953   2\r\n  12   0   4 1506.08 397.539   2\r\n  12   0  -4 1204.44 621.094   5\r\n  12   0  -4 1930.87 529.642   1\r\n -12   0  -4 1924.73 1285.06   3\r\n  12   0  -4 851.542 789.537   7\r\n  12   0   4 1710.78 901.087   4\r\n -12   0  -4 1378.01 562.303   6\r\n -12   0   4 1978.58 582.808   4\r\n  12   0  -5-42.8122 562.979   5\r\n -12   0  -5 6.80729 1360.65   3\r\n  12   0  -5-507.212 1086.47   7\r\n  12   0  -5 897.499 572.320   1\r\n  12   0   5 534.748 850.081   4\r\n -12   0   5 689.297 746.515   2\r\n  12   0  -6 1215.77 766.243   5\r\n  12   0  -6 2174.95 1309.56   7\r\n  12   0   6 281.789 1030.66   4\r\n -12   0   6 3040.79 1085.76   2\r\n  12   1  -6 1357.16 673.990   5\r\n  12   1  -6 1346.40 1065.43   7\r\n  12  -1   6 1517.40 1252.73   4\r\n -12   1   6-68.8123 439.399   2\r\n  12   1  -5 6063.48 1160.66   5\r\n -12  -1  -5 6441.00 2177.98   3\r\n  12   1  -5 5110.82 1610.40   7\r\n  12  -1   5 6518.86 1549.14   4\r\n -12   1   5 8014.02 1041.29   4\r\n -12   1   5 4068.26 1202.00   2\r\n  12   1  -4 2997.09 801.855   5\r\n  12   1  -4 2331.26 613.963   1\r\n -12  -1  -4 3208.37 1559.80   3\r\n  12  -1   4 1944.53 842.686   7\r\n  12   1  -4 1934.43 877.244   7\r\n  12  -1   4 4727.66 1347.24   4\r\n -12  -1  -4 3280.93 578.070   6\r\n -12   1   4 3209.55 702.893   4\r\n  12  -1   4 2456.24 588.080   2\r\n -12   1   4 2833.86 1003.88   2\r\n -12  -1  -3 17076.5 2416.45   3\r\n  12  -1   3 16450.0 1965.36   4\r\n -12   1   3 17601.4 1502.14   4\r\n  12   1  -3 17763.0 1395.27   1\r\n  12  -1   3 16619.8 1529.34   7\r\n  12   1  -3 13797.0 1742.92   7\r\n  12  -1   3 18344.4 1486.76   2\r\n -12   1   3 19156.0 1746.51   7\r\n -12   1   3 15507.0 1877.84   2\r\n -12  -1  -3 18278.8 1498.16   6\r\n  12   1  -3 16985.4 1335.98   5\r\n -12  -1  -2 26266.9 2193.42   4\r\n  12  -1   2 26731.5 2273.78   4\r\n -12   1   2 22513.1 1669.12   4\r\n -12  -1  -2 25610.4 1492.43   2\r\n  12   1  -2 20519.6 2050.93   4\r\n  12   1  -2 25412.9 2022.09   7\r\n -12   1   2 22196.8 2059.21   2\r\n  12  -1   2 23436.0 1734.90   2\r\n -12  -1  -2 25173.1 1877.73   6\r\n  12   1  -2 23975.4 1326.65   5\r\n -12  -1  -1 15772.1 1684.12   4\r\n -12   1   1 16755.7 1472.08   4\r\n  12  -1   1 14798.7 1538.43   4\r\n  12   1  -1 14938.6 1596.32   4\r\n -12   1   1 14806.3 1557.47   2\r\n  12   1  -1 16422.6 1522.71   7\r\n -12  -1  -1 15596.9 1381.99   2\r\n  12  -1   1 16204.2 1494.13   2\r\n  12   1  -1 15752.9 1683.63   2\r\n  12   1   0 25907.6 2007.28   2\r\n -12   1   0 30173.2 2070.90   4\r\n -12  -1   0 28896.8 2049.91   4\r\n  12  -1   0 24817.6 1836.27   4\r\n -12   1   0 26484.3 1883.77   2\r\n -12  -1   0 28593.8 1992.96   2\r\n  12  -1   0 27548.2 2023.81   2\r\n -12   1   0 27241.0 2185.67   6\r\n -12   1  -1 15823.0 1662.86   4\r\n -12  -1   1 17728.2 1605.57   4\r\n  12  -1  -1 14240.3 1364.51   4\r\n  12  -1  -1 13731.1 1185.05   7\r\n -12  -1   1 16068.0 1654.90   2\r\n  12   1   1 13644.9 1351.09   2\r\n -12   1  -1 16425.7 1679.99   6\r\n  12   1   1 15141.9 1398.85   5\r\n -12   1  -2 25925.1 2577.97   3\r\n -12   1  -2 29225.5 2398.60   4\r\n  12   1   2 24729.8 2055.45   4\r\n -12  -1   2 24835.4 2000.55   4\r\n  12  -1  -2 24977.3 1791.58   4\r\n  12  -1  -2 23396.2 1836.39   7\r\n  12  -1  -2 26571.9 1889.62   1\r\n -12  -1   2 21146.7 2120.66   2\r\n  12   1   2 25284.5 1622.37   2\r\n -12   1  -2 23808.5 1995.42   6\r\n  12  -1  -2 27654.8 2297.18   2\r\n  12   1   2 24088.1 2015.87   5\r\n -12   1  -3 15698.9 2333.66   3\r\n -12  -1   3 18836.4 2076.92   2\r\n  12  -1  -3 19144.1 1699.58   1\r\n  12   1   3 17129.9 1895.74   4\r\n -12  -1   3 16975.4 1733.86   4\r\n  12  -1  -3 17730.3 1910.88   7\r\n  12   1   3 18693.1 1185.70   2\r\n -12   1  -3 19157.9 1797.49   6\r\n  12  -1  -3 18469.7 1672.85   5\r\n -12  -1   4 2591.12 1040.52   2\r\n  12  -1  -4 4071.26 940.735   1\r\n  12  -1  -4 3596.08 1003.56   5\r\n -12   1  -4 2982.62 1393.54   3\r\n  12  -1  -4 3369.46 1118.53   7\r\n  12   1   4 3468.82 1057.88   4\r\n -12   1  -4 2930.57 838.263   6\r\n -12  -1   5 5370.46 1578.34   2\r\n  12  -1  -5 4918.50 1261.74   5\r\n -12   1  -5 1680.62 1386.08   3\r\n  12  -1  -5 5108.54 1569.06   7\r\n  12   1   5 6599.30 1579.66   4\r\n -12  -1   6-4.56107 462.384   2\r\n  12  -1  -6 282.896 1037.78   5\r\n  12  -1  -6 1654.26 995.410   7\r\n  12   1   6 1383.93 1021.59   4\r\n  12  -2   6 2781.67 1490.38   4\r\n  12   2  -6 4021.16 1584.34   7\r\n -12   2   6 2777.64 1028.74   2\r\n -12   2   6 2798.84 1178.64   6\r\n  12   2  -5 5489.48 1054.81   5\r\n -12  -2  -5 6150.01 1957.76   3\r\n  12   2  -5 8718.55 1772.83   7\r\n  12  -2   5 7317.73 1771.12   4\r\n -12   2   5 7412.87 1477.16   2\r\n  12   2  -4 3404.62 742.528   5\r\n  12   2  -4 4413.27 644.438   1\r\n -12  -2  -4 4814.85 1584.60   3\r\n  12  -2   4 4073.28 930.337   7\r\n -12   2   4 2719.51 591.776   4\r\n  12   2  -4 2462.37 1224.78   7\r\n  12  -2   4 2959.81 795.940   2\r\n -12  -2  -4 2957.60 469.636   6\r\n  12  -2   4 2191.11 1183.02   4\r\n -12   2   4 2935.33 971.087   2\r\n  12  -2   4 4580.36 1170.87   6\r\n  12   2  -3 946.807 355.109   5\r\n  12   2  -3 766.916 449.137   1\r\n -12  -2  -3 544.064 1074.05   3\r\n  12  -2   3 723.242 543.591   7\r\n  12  -2   3 690.613 720.350   4\r\n  12   2  -3-135.290 663.001   7\r\n -12   2   3 821.728 573.476   7\r\n -12   2   3 758.936 349.050   4\r\n  12  -2   3 814.442 430.514   2\r\n -12   2   3-129.135 916.755   2\r\n -12  -2  -3 915.136 493.495   6\r\n  12  -2   3 1172.97 636.406   6\r\n  12  -2   2 2783.60 548.753   7\r\n  12  -2   2 1455.39 894.967   4\r\n  12   2  -2 2086.67 783.214   7\r\n -12  -2  -2 3103.80 822.785   4\r\n -12   2   2 1605.60 493.670   4\r\n -12   2   2 2410.38 602.369   7\r\n -12   2   2 2462.80 854.754   2\r\n  12  -2   2 3488.19 828.459   2\r\n -12   2   2 2045.31 873.670   6\r\n -12  -2  -2 2826.56 559.253   2\r\n  12   2  -2 3080.92 396.353   5\r\n  12   2  -2 1935.05 989.872   4\r\n -12   2   1 19686.4 1588.32   4\r\n  12  -2   1 20359.1 1843.55   4\r\n -12  -2  -1 23725.1 1999.49   4\r\n -12   2   1 20575.0 1865.29   2\r\n  12   2  -1 15084.4 1763.26   4\r\n  12  -2   1 21487.2 1804.16   2\r\n -12  -2  -1 21916.9 1640.15   2\r\n  12   2  -1 19744.9 1953.61   2\r\n -12   2   1 18499.7 1964.75   6\r\n  12   2   0 976.189 297.302   5\r\n -12  -2   0-41.1130 571.346   2\r\n -12   2   0 457.414 392.233   4\r\n  12  -2   0 201.138 258.263   7\r\n  12   2   0 756.826 443.644   2\r\n  12  -2   0-54.4240 464.111   4\r\n -12  -2   0 1016.76 553.283   4\r\n -12   2   0 584.839 534.063   6\r\n  12  -2   0 591.704 481.514   2\r\n -12   2  -1 20138.7 1892.91   4\r\n  12  -2  -1 21013.7 1550.81   4\r\n -12  -2   1 23231.6 1978.50   4\r\n  12   2   1 18854.7 1863.23   4\r\n  12  -2  -1 19968.5 1333.10   7\r\n -12  -2   1 19880.1 1945.22   2\r\n -12   2  -1 15748.4 1745.95   6\r\n  12   2   1 22003.7 1750.24   2\r\n  12   2   1 19173.3 1588.89   5\r\n  12   2   2 3516.43 907.850   5\r\n -12   2  -2 3532.40 1146.33   3\r\n -12  -2   2 2822.11 976.681   2\r\n -12   2  -2 2713.38 857.771   4\r\n  12  -2  -2 2104.21 720.214   7\r\n  12   2   2 2248.90 914.633   4\r\n  12   2   2 1999.89 568.914   2\r\n -12   2  -2 3098.48 907.151   6\r\n -12  -2   2 3320.40 870.106   4\r\n  12  -2  -2 2478.05 773.715   1\r\n  12  -2  -2 2526.33 628.154   4\r\n  12  -2  -3 1134.58 705.848   5\r\n -12   2  -3 1836.86 1153.64   3\r\n -12  -2   3 970.649 788.314   2\r\n  12  -2  -3 882.078 632.004   7\r\n  12   2   3 660.821 723.040   4\r\n -12   2  -3 658.919 612.168   6\r\n  12  -2  -4 1983.96 1030.90   5\r\n -12  -2   4 3360.19 1135.34   2\r\n -12   2  -4 1685.28 1269.04   3\r\n  12  -2  -4 2113.98 1099.12   7\r\n  12   2   4 2810.97 1041.92   4\r\n -12   2  -4 2060.90 912.001   6\r\n  12  -2  -5 7355.33 1591.11   5\r\n -12  -2   5 8110.62 1702.21   2\r\n  12  -2  -5 6542.88 1736.32   7\r\n  12   2   5 7969.62 1612.15   4\r\n  12  -2  -6 3488.32 1419.95   5\r\n -12  -2   6 4377.52 1399.32   2\r\n  12  -2  -6 4561.94 1456.27   7\r\n  12   2   6 5716.64 1534.84   4\r\n  12   3  -6 1141.86 1020.36   7\r\n  12  -3   6 329.885 1139.09   4\r\n -12   3   6 841.515 939.367   6\r\n -12  -3  -5 2923.73 1647.90   3\r\n  12  -3   5 2374.73 1392.13   4\r\n  12   3  -5 3119.09 1574.37   7\r\n -12   3   5 3446.08 1054.09   6\r\n -12  -3  -4 15919.5 2700.08   3\r\n -12   3   4 16255.4 1008.74   4\r\n  12  -3   4 17400.2 2397.11   4\r\n  12  -3   4 16345.2 1608.71   7\r\n  12   3  -4 15166.9 2240.35   7\r\n -12  -3  -4 15545.3 768.628   6\r\n -12   3   4 13561.9 1988.49   6\r\n  12   3  -4 16030.8 949.194   1\r\n -12  -3  -3 11892.0 2154.89   3\r\n -12   3   3 11421.7 991.055   4\r\n  12  -3   3 13401.4 1925.22   4\r\n -12  -3  -3 12196.6 842.459   2\r\n  12  -3   3 11783.6 1190.04   7\r\n -12   3   3 14134.3 1469.67   7\r\n  12   3  -3 11471.6 1791.75   7\r\n -12   3   3 12152.0 1764.13   6\r\n -12  -3  -2 1218.59 480.213   2\r\n  12  -3   2 1823.43 771.653   4\r\n -12   3   2 2409.82 593.732   4\r\n  12  -3   2 1720.18 402.423   7\r\n -12   3   2 1849.74 534.656   7\r\n  12   3  -2 663.831 739.758   7\r\n  12  -3   2 2244.35 749.589   2\r\n -12   3   2 2579.66 975.520   6\r\n  12   3  -1 18066.8 2077.42   4\r\n -12   3   1 18346.8 1586.01   4\r\n  12  -3   1 19664.8 1926.46   4\r\n -12  -3  -1 21678.5 2024.14   4\r\n  12  -3   1 23818.0 2039.22   2\r\n -12  -3  -1 21773.4 1775.14   2\r\n -12   3   1 18109.5 2068.68   6\r\n  12  -3   1 21916.1 2245.79   6\r\n  12   3  -1 19707.5 760.916   5\r\n -12   3   0 8165.89 1204.76   4\r\n  12  -3   0 8243.79 1154.32   4\r\n -12  -3   0 6064.97 1233.84   2\r\n -12  -3   0 9419.71 1368.27   4\r\n -12   3   0 8067.11 1527.59   6\r\n  12  -3   0 7951.27 1303.27   2\r\n  12   3   0 8403.95 1489.56   4\r\n  12   3   0 8542.66 912.210   5\r\n -12   3  -1 21473.5 2093.85   4\r\n  12  -3  -1 21130.3 1566.07   4\r\n  12  -3  -1 20555.6 1256.28   7\r\n  12   3   1 24108.6 2195.94   4\r\n -12  -3   1 19970.4 2107.24   2\r\n -12   3  -1 20035.4 2148.35   6\r\n  12   3   1 21661.7 1724.74   5\r\n -12   3  -1 20695.3 2266.60   3\r\n  12   3   2 1635.99 730.086   5\r\n -12   3  -2 1841.87 893.723   3\r\n -12  -3   2 1704.46 1032.15   2\r\n  12  -3  -2 1701.80 613.338   7\r\n -12   3  -2 989.110 652.460   6\r\n  12   3   2 516.039 626.839   4\r\n  12  -3  -2 1940.51 545.884   4\r\n  12  -3  -3 9945.14 1534.19   5\r\n -12   3  -3 12960.9 2363.80   3\r\n -12  -3   3 10771.8 1865.33   2\r\n  12   3   3 11517.7 1690.77   4\r\n  12  -3  -3 10951.8 1544.65   7\r\n -12   3  -3 11592.5 1739.97   6\r\n -12   3  -4 19266.5 2993.66   3\r\n  12   3   4 15417.0 1990.75   4\r\n  12  -3  -4 16429.1 2083.06   7\r\n -12  -3   4 16961.1 2331.28   2\r\n -12   3  -4 14896.5 1998.50   6\r\n  12  -3  -4 18671.7 2235.89   5\r\n  12  -3  -5 3330.09 1287.42   5\r\n -12  -3   5 3055.10 1243.95   2\r\n  12  -3  -5 3114.37 1247.22   7\r\n  12   3   5 3531.80 1156.93   4\r\n  12  -3  -6 1305.17 1017.77   5\r\n -12  -3   6 3422.72 1464.97   2\r\n  12  -3  -6 2702.88 1078.44   7\r\n  12   3   6 1314.83 1115.65   4\r\n  12   4  -6 4624.82 1923.75   7\r\n  12  -4   6 5335.17 1725.97   4\r\n -12  -4  -6 4607.71 1800.33   5\r\n  12  -4   5 1629.56 974.816   4\r\n  12   4  -5 1166.66 1119.54   7\r\n -12   4   5 1922.18 701.055   6\r\n -12  -4  -5 537.960 1058.71   5\r\n -12  -4  -4-965.692 1068.45   3\r\n  12  -4   4-518.952 746.394   4\r\n  12   4  -4-68.0838 991.409   7\r\n -12   4   4 84.7505 667.915   6\r\n -12  -4  -4 93.3518 847.296   5\r\n -12  -4  -3 4010.17 613.356   2\r\n -12  -4  -3 4295.44 1413.12   3\r\n  12  -4   3 3998.62 1367.86   4\r\n -12   4   3 3403.22 885.225   7\r\n  12  -4   3 4652.84 649.413   7\r\n  12   4  -3 6013.39 1374.07   7\r\n -12   4   3 4673.05 1159.52   6\r\n -12  -4  -3 2580.62 977.270   5\r\n -12  -4  -2 1046.15 548.060   2\r\n  12  -4   2 1519.74 909.177   4\r\n -12   4   2 1327.06 470.552   7\r\n  12   4  -2 1389.33 927.672   7\r\n -12   4   2 1424.83 863.668   6\r\n -12  -4  -2 2068.85 738.895   5\r\n -12  -4  -1 5893.88 1089.65   2\r\n  12  -4   1 6176.41 1221.98   4\r\n -12   4   1 5883.86 1374.10   6\r\n  12   4  -1 7538.73 1631.64   4\r\n  12  -4   0 31218.2 2177.69   4\r\n -12  -4   0 26598.0 2325.41   2\r\n -12   4   0 27873.1 2636.40   6\r\n  12   4   0 30729.1 1490.90   5\r\n -12   4  -1 8305.73 1539.85   3\r\n  12   4   1 6818.10 1017.44   5\r\n  12  -4  -1 7433.24 990.691   4\r\n -12  -4   1 6830.57 1365.48   2\r\n -12   4  -1 9512.25 1654.77   6\r\n  12   4   1 6693.56 1390.88   4\r\n  12   4   2 1351.69 668.486   5\r\n -12   4  -2 1770.38 1022.00   3\r\n -12  -4   2 143.389 1041.16   2\r\n -12   4  -2 113.289 996.980   6\r\n  12  -4  -2 699.426 424.259   4\r\n  12   4   2 770.737 834.561   4\r\n  12  -4  -3 3929.89 1155.45   5\r\n -12   4  -3 4635.75 1340.47   3\r\n -12  -4   3 3677.22 1328.77   2\r\n -12   4  -3 5042.38 1377.07   6\r\n  12   4   3 3996.13 1195.37   4\r\n  12  -4  -4 186.642 788.488   5\r\n -12   4  -4-616.941 1096.50   3\r\n -12  -4   4 828.194 964.955   2\r\n  12   4   4 405.637 799.506   4\r\n  12  -4  -5 1185.71 1209.91   5\r\n -12  -4   5 400.776 980.592   2\r\n  12   4   5 1058.65 867.717   4\r\n  12  -4  -6 4310.77 1577.42   5\r\n -12  -4   6 7870.12 1802.38   2\r\n  12   4   6 4578.89 1295.82   4\r\n  12  -5   5 3030.90 1535.36   4\r\n  12   5  -5 3884.30 1417.84   7\r\n -12   5   5 5702.31 1270.52   6\r\n -12  -5  -5 2165.77 1373.85   5\r\n -12  -5  -4 5568.55 1865.43   3\r\n  12  -5   4 5347.41 1782.48   4\r\n  12   5  -4 4641.67 1390.46   7\r\n -12   5   4 6255.76 1417.44   6\r\n -12  -5  -4 3780.95 1263.83   5\r\n -12  -5  -3 7210.50 1760.99   3\r\n -12  -5  -3 4802.62 856.402   2\r\n  12  -5   3 4751.42 1286.41   4\r\n -12   5   3 4645.43 954.137   7\r\n  12   5  -3 7099.83 1571.82   7\r\n -12   5   3 5070.31 1515.39   6\r\n -12  -5  -3 6435.88 1443.54   5\r\n -12  -5  -2 1072.47 610.108   2\r\n  12  -5   2 1324.42 720.577   4\r\n -12   5   2 2047.00 502.266   7\r\n -12   5   2 1976.68 915.265   6\r\n  12   5  -2 1854.09 834.606   7\r\n -12  -5  -2 1005.70 979.410   3\r\n -12  -5  -2 455.602 629.325   5\r\n  12  -5   1 164.188 678.525   4\r\n -12  -5  -1 8.32891 650.504   2\r\n -12   5   1-439.130 656.762   6\r\n -12  -5  -1-940.148 570.819   5\r\n -12   5   0 3062.49 1062.18   3\r\n -12  -5   0 4395.70 1029.38   2\r\n  12  -5   0 3860.70 877.600   4\r\n -12   5   0 3399.32 1185.20   6\r\n  12   5   0 1048.47 1132.30   4\r\n -12   5  -1 495.277 753.621   3\r\n  12   5   1 364.614 363.860   5\r\n -12  -5   1-1594.75 1023.62   2\r\n  12  -5  -1 135.769 421.983   4\r\n -12   5  -1-1383.68 1005.12   6\r\n  12   5   1-32.5097 874.603   4\r\n  12   5   2 1255.41 708.885   5\r\n -12   5  -2 1989.85 1085.38   3\r\n -12  -5   2 2182.26 1113.95   2\r\n -12   5  -2 1213.18 1041.18   6\r\n  12  -5  -2 946.629 388.713   4\r\n  12   5   2 141.862 825.516   4\r\n  12  -5  -3 6923.64 1477.40   5\r\n -12   5  -3 7182.28 1982.11   3\r\n -12  -5   3 5370.20 1754.77   2\r\n -12   5  -3 6751.32 1580.66   6\r\n  12   5   3 4826.95 1252.81   4\r\n  12  -5  -4 5436.18 1427.63   5\r\n -12  -5   4 2956.41 1308.23   2\r\n  12   5   4 4097.74 1265.03   4\r\n  12  -5  -5 4029.58 1681.77   5\r\n -12  -5   5 3409.94 1265.75   2\r\n  12   5   5 1303.02 1094.87   4\r\n -12  -6  -4 724.440 740.581   5\r\n -12  -6  -4 30.5448 1308.13   3\r\n  12  -6   4 521.543 1253.12   4\r\n  12   6  -4 435.381 1023.44   7\r\n -12   6   4 1027.87 1115.03   6\r\n -12  -6  -3 1041.72 966.348   5\r\n -12  -6  -3 2701.30 1225.79   3\r\n  12  -6   3 1342.11 1211.35   4\r\n  12   6  -3-275.324 866.796   7\r\n -12   6   3 1907.30 1100.64   6\r\n -12  -6  -2 10443.7 1545.90   5\r\n -12  -6  -2 10419.9 1736.20   3\r\n -12  -6  -2 8303.67 1375.70   2\r\n  12  -6   2 5180.87 1467.80   4\r\n  12   6  -2 8645.02 1652.72   7\r\n -12   6   2 6728.48 1596.03   6\r\n -12   6   1 8691.42 1395.24   3\r\n  12  -6   1 8404.40 1614.30   4\r\n -12  -6  -1 9711.39 1581.96   2\r\n -12   6   1 10047.1 1859.32   6\r\n -12  -6  -1 10242.0 1333.53   5\r\n -12   6   0 1480.45 826.444   3\r\n  12  -6   0 881.756 586.702   4\r\n -12  -6   0-11.4218 805.764   2\r\n -12   6   0 2997.35 1092.05   6\r\n -12   6  -1 11731.6 1877.45   3\r\n  12  -6  -1 9856.72 1239.97   4\r\n -12  -6   1 10111.8 1913.08   2\r\n -12   6  -1 9176.54 1981.90   6\r\n  12   6   1 8453.06 1893.98   4\r\n  12   6   1 10149.3 1208.13   5\r\n  12  -6  -2 6781.63 1566.41   5\r\n -12   6  -2 7797.09 1810.12   3\r\n -12  -6   2 6222.49 1689.55   2\r\n -12   6  -2 7880.53 1849.58   6\r\n  12   6   2 5768.31 1538.73   4\r\n  12  -6  -3 1286.73 1088.13   5\r\n -12  -6   3 2702.66 1163.15   2\r\n  12   6   3 168.183 970.468   4\r\n  12  -6  -4 1121.73 596.935   5\r\n -12  -6   4 2309.58 1232.43   2\r\n  12   6   4-26.4601 1088.72   4\r\n -12  -7  -4-1035.33 1012.58   5\r\n  12  -7   4-224.244 1122.32   4\r\n  12   7  -4 2230.33 1280.71   7\r\n -12   7   4 1519.64 1019.39   6\r\n -12  -7  -3 2196.76 1151.85   5\r\n  12   7  -3 2611.69 1036.86   7\r\n  12  -7   3 1221.17 1102.26   4\r\n -12   7   3 1905.04 1105.92   6\r\n -12  -7  -2 8749.58 1374.10   5\r\n  12   7  -2 4069.80 1403.15   7\r\n  12  -7   2 5284.57 1598.68   4\r\n -12  -7  -2 3517.37 1004.85   2\r\n -12   7   2 4671.61 1442.96   6\r\n -12  -7  -1 1066.84 625.376   5\r\n  12  -7   1 651.682 928.811   4\r\n -12  -7  -1 752.653 906.348   2\r\n  12   7  -1 478.976 594.634   1\r\n -12   7   1 607.270 728.889   6\r\n -12   7   0-475.524 630.106   3\r\n  12  -7   0 88.9081 628.803   4\r\n -12  -7   0 182.091 885.016   2\r\n -12   7   0 194.699 932.986   6\r\n -12   7  -1-208.314 920.657   3\r\n  12  -7  -1 189.244 561.853   4\r\n -12  -7   1 118.936 992.774   2\r\n -12   7  -1 2624.77 1212.46   6\r\n  12  -7  -2 4211.37 1445.85   5\r\n -12  -7   2 4185.93 1593.96   2\r\n -12   7  -2 2136.70 1259.61   6\r\n  12  -7  -3 1731.14 1051.36   5\r\n -12  -7   3 969.469 876.035   2\r\n  12   7   3 4090.26 1290.66   4\r\n  12  -7  -4 3300.89 1512.81   5\r\n -12  -7   4 4293.99 1628.48   2\r\n  12  -8   2 1464.12 1185.63   4\r\n  12   8  -2 18.2984 1109.61   7\r\n -12   8   2 623.053 1341.65   6\r\n  12  -8   1 831.562 921.094   4\r\n -12  -8  -1 515.240 833.181   2\r\n -12   8   1-958.650 1230.20   6\r\n  12  -8   0-1131.11 805.264   4\r\n -12  -8   0-595.587 906.318   2\r\n -12   8   0-940.174 1094.99   6\r\n  12   8   0-126.146 791.476   1\r\n -12   8  -1 144.661 1130.05   6\r\n  12   8   1 911.400 927.406   1\r\n -12  -8   1 5.68181 1029.00   2\r\n  12  -8  -2 296.019 418.953   5\r\n  12   8   2 1394.24 1179.75   1\r\n -12  -8   2 601.699 1524.74   2\r\n  13   0   0 51.8011 460.422   2\r\n -13   0   0 350.400 366.440   4\r\n  13   0   0-80.8962 650.845   4\r\n -13   0   0 348.795 490.901   2\r\n  13   0   1 2774.37 711.692   2\r\n  13   0  -1 2459.34 763.042   2\r\n -13   0  -1 3557.14 868.953   4\r\n  13   0  -1 2501.63 659.496   7\r\n -13   0   1 3061.03 723.863   4\r\n -13   0  -1 2558.46 686.997   2\r\n  13   0  -1 2600.08 746.253   4\r\n -13   0  -1 2048.01 793.240   6\r\n -13   0   1 2286.08 900.044   2\r\n  13   0   2 11147.3 1537.49   4\r\n -13   0   2 9405.13 1253.85   4\r\n  13   0  -2 10792.1 1404.49   4\r\n  13   0  -2 9722.00 1278.08   7\r\n -13   0   2 12029.5 1613.30   2\r\n  13   0   2 9424.80 1129.59   2\r\n -13   0  -2 10644.7 1518.43   4\r\n -13   0  -2 10558.8 1375.96   6\r\n  13   0   2 9203.97 1277.60   5\r\n -13   0  -3 24162.3 2865.47   3\r\n  13   0   3 27112.0 2477.31   4\r\n  13   0  -3 28207.0 1980.43   1\r\n -13   0   3 25178.2 2031.12   4\r\n  13   0  -3 27196.2 2342.03   7\r\n -13   0   3 25464.2 2418.92   2\r\n  13   0   3 27600.5 1737.44   2\r\n -13   0  -3 28055.1 2104.10   6\r\n  13   0  -3 25076.1 1830.12   5\r\n  13   0  -4 4898.36 972.083   5\r\n -13   0  -4 6535.82 1910.46   3\r\n  13   0  -4 4248.96 949.184   1\r\n  13   0   4 6416.86 770.590   2\r\n  13   0  -4 3605.58 1132.37   7\r\n  13   0   4 5565.75 1357.13   4\r\n -13   0  -4 4799.01 870.386   6\r\n -13   0   4 5824.60 1059.80   4\r\n -13   0   4 3207.73 1052.87   2\r\n  13   0  -5 3923.37 956.073   5\r\n -13   0  -5 2017.98 1669.69   3\r\n  13   0  -5 1555.68 1153.43   7\r\n  13   0   5 2652.92 1159.18   4\r\n -13   0   5 2990.27 984.266   2\r\n  13   0  -6 1048.20 815.673   5\r\n  13   0  -6-560.922 755.585   7\r\n  13   0   6 1815.89 1179.60   4\r\n -13   0   6 855.111 1111.36   2\r\n  13   1  -6-22.9496 1100.15   7\r\n  13  -1   6 1332.96 1144.31   4\r\n -13   1   6-372.376 789.379   2\r\n  13   1  -5 2258.93 861.799   5\r\n -13  -1  -5 3228.77 1753.18   3\r\n  13   1  -5 750.306 1105.35   7\r\n  13  -1   5 3377.82 1421.18   4\r\n -13   1   5 3787.63 1058.57   2\r\n  13   1  -4 1701.54 616.690   5\r\n -13  -1  -4 2833.08 1578.06   3\r\n  13   1  -4 1365.71 594.329   1\r\n  13   1  -4 3077.95 1046.22   7\r\n  13  -1   4 1884.96 944.140   4\r\n -13   1   4 1665.55 618.498   4\r\n -13  -1  -4 743.826 406.112   6\r\n  13  -1   4 1885.31 538.752   2\r\n -13   1   4 1522.21 697.598   2\r\n -13  -1  -3 818.637 1191.95   3\r\n  13   1  -3 1799.12 575.934   5\r\n  13   1  -3 1930.77 577.103   1\r\n  13  -1   3 2010.71 613.505   7\r\n -13   1   3 1494.11 649.825   7\r\n  13   1  -3 1795.56 959.027   7\r\n -13   1   3 1862.96 553.005   4\r\n -13  -1  -3 1838.90 575.989   6\r\n  13  -1   3 2054.85 943.246   4\r\n -13   1   3 2042.39 831.975   2\r\n  13  -1   3 1931.42 668.244   2\r\n -13  -1  -2 36274.2 2663.86   4\r\n  13  -1   2 35831.4 2619.55   4\r\n -13   1   2 34743.7 2152.92   4\r\n -13  -1  -2 31561.3 1761.14   2\r\n  13   1  -2 31335.3 2470.83   4\r\n -13   1   2 32060.3 2511.44   2\r\n  13   1  -2 32504.1 2292.90   7\r\n  13  -1   2 31063.2 2084.39   2\r\n -13  -1  -2 31612.1 2214.23   6\r\n -13   1   1 10503.3 1272.30   4\r\n  13  -1   1 11515.8 1380.83   4\r\n  13   1  -1 8495.21 1237.73   4\r\n -13   1   1 9830.99 1393.47   2\r\n -13  -1  -1 9581.38 1152.98   2\r\n  13   1  -1 8307.05 1229.46   7\r\n  13  -1   1 10351.6 1287.23   2\r\n -13  -1  -1 9189.46 1359.88   4\r\n  13   1  -1 10710.4 1473.30   2\r\n -13  -1   0 3312.60 840.478   2\r\n  13  -1   0 3214.29 737.815   2\r\n  13   1   0 2231.02 847.527   2\r\n -13   1   0 3609.86 831.225   4\r\n -13  -1   0 2596.81 791.307   4\r\n  13  -1   0 2321.25 771.725   4\r\n -13   1   0 2302.47 729.805   2\r\n -13   1   0 2213.95 880.346   6\r\n  13  -1  -1 8881.78 1332.77   2\r\n -13   1  -1 9656.82 1295.67  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793.698   2\r\n  13  -1  -4 1908.70 791.771   5\r\n -13   1  -4 486.934 1447.51   3\r\n  13  -1  -4 2560.40 907.888   7\r\n  13   1   4 1512.23 924.867   4\r\n -13   1  -4 1206.81 706.829   6\r\n -13  -1   5 2552.77 1031.09   2\r\n  13  -1  -5 4677.79 1228.69   5\r\n -13   1  -5 3244.67 1576.53   3\r\n  13  -1  -5 2584.16 1262.42   7\r\n  13   1   5 3092.12 1139.20   4\r\n -13  -1   6 2228.42 1059.82   2\r\n  13  -1  -6 1112.28 1008.85   5\r\n  13  -1  -6 2669.51 1253.90   7\r\n  13   1   6 1190.10 1076.12   4\r\n  13   2  -6-11.7579 1156.50   7\r\n  13  -2   6-266.773 1418.30   4\r\n -13   2   6 1854.49 693.256   2\r\n -13   2   6 452.330 570.367   6\r\n  13   2  -5 3178.64 767.380   5\r\n -13  -2  -5 1556.52 1710.41   3\r\n  13   2  -5 3808.13 1326.83   7\r\n  13  -2   5 3654.93 1597.44   4\r\n -13   2   5 3907.46 1147.39   2\r\n  13   2  -4 10034.5 1035.18   1\r\n -13  -2  -4 12029.0 2524.79   3\r\n -13   2   4 8627.89 1035.89   4\r\n  13  -2   4 11265.8 1386.58   2\r\n  13  -2   4 10080.4 1430.53   7\r\n  13   2  -4 9532.07 1864.20   7\r\n  13  -2   4 11380.7 1900.24   4\r\n -13  -2  -4 11132.2 1005.01   6\r\n -13   2   4 11011.7 1753.52   2\r\n  13  -2   4 8544.18 1581.31   6\r\n  13   2  -4 11612.9 1103.78   5\r\n -13  -2  -3 16347.1 2500.13   3\r\n  13  -2   3 13226.6 1889.34   4\r\n -13   2   3 13369.8 1281.66   4\r\n  13  -2   3 16283.3 1502.11   7\r\n -13   2   3 15115.8 1865.69   2\r\n  13  -2   3 13603.9 1503.79   2\r\n  13   2  -3 13507.3 1883.11   7\r\n -13   2   3 16556.5 1640.16   7\r\n  13   2  -3 14069.4 1215.60   1\r\n -13  -2  -3 17146.3 1511.79   6\r\n -13   2   3 14881.7 2006.15   6\r\n  13   2  -3 14938.9 1053.81   5\r\n  13  -2   2 6342.06 808.658   7\r\n -13  -2  -2 6685.15 871.152   2\r\n -13   2   2 5752.39 878.237   4\r\n  13   2  -2 5618.26 1046.67   7\r\n  13  -2   2 5258.02 1095.54   4\r\n -13   2   2 4433.25 1043.50   2\r\n  13  -2   2 6121.20 1024.95   2\r\n -13   2   2 5722.62 1248.27   6\r\n  13   2  -2 5772.86 566.241   5\r\n  13  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4\r\n  13   2   1 12863.6 1374.70   5\r\n  13   2   2 4326.03 993.169   5\r\n -13   2  -2 5175.22 1374.16   3\r\n -13  -2   2 6590.14 1300.66   2\r\n  13  -2  -2 6551.73 965.621   4\r\n  13  -2  -2 6158.58 1009.47   7\r\n  13   2   2 7555.97 984.375   2\r\n  13   2   2 6348.56 1266.74   4\r\n -13   2  -2 5958.33 1217.40   6\r\n -13   2  -3 13847.3 2316.60   3\r\n  13   2   3 13914.3 1801.66   4\r\n  13  -2  -3 13491.5 1718.11   7\r\n  13  -2  -3 13792.4 1474.79   4\r\n -13  -2   3 15102.2 2112.13   2\r\n -13   2  -3 15016.1 1784.40   6\r\n  13  -2  -3 15421.9 1734.58   5\r\n  13  -2  -4 10328.8 1625.02   5\r\n -13  -2   4 8881.31 1721.42   2\r\n -13   2  -4 11862.8 2361.83   3\r\n  13   2   4 13088.2 1867.30   4\r\n  13  -2  -4 10996.6 1804.33   7\r\n -13   2  -4 8620.23 1562.45   6\r\n  13  -2  -5 2281.58 1133.72   5\r\n -13  -2   5 3343.81 1408.43   2\r\n -13   2  -5 1055.70 1574.56   3\r\n  13  -2  -5 6770.95 1464.61   7\r\n  13   2   5 3055.48 1217.25   4\r\n  13  -2  -6 826.240 986.659   5\r\n -13  -2   6-2310.93 1419.67   2\r\n  13  -2  -6-1040.10 1058.24   7\r\n  13   2   6 365.250 1062.43   4\r\n  13   3  -6 5411.67 1577.33   7\r\n  13  -3   6 2896.11 1436.80   4\r\n -13  -3  -5-441.889 1519.99   3\r\n  13   3  -5 408.981 855.579   7\r\n  13  -3   5 635.259 1189.70   4\r\n -13   3   5 1618.76 699.257   6\r\n -13  -3  -4 4749.35 1849.56   3\r\n  13  -3   4 5459.47 1045.88   7\r\n  13  -3   4 3575.65 1248.77   4\r\n  13   3  -4 5952.24 1482.05   7\r\n -13  -3  -4 5503.18 627.791   6\r\n -13   3   4 5021.81 1297.39   6\r\n -13  -3  -3 5217.69 1679.09   3\r\n  13  -3   3 4455.86 766.780   7\r\n -13   3   3 4159.73 672.960   4\r\n  13  -3   3 4745.06 1272.36   4\r\n  13   3  -3 5008.58 1192.57   7\r\n -13   3   3 4270.77 881.173   7\r\n -13  -3  -3 4398.79 565.695   2\r\n -13   3   3 5089.53 1237.20   6\r\n -13  -3  -2 2082.14 587.297   2\r\n -13   3   2 1897.79 565.434   4\r\n  13  -3   2 2536.39 456.790   7\r\n  13  -3   2 2742.93 922.540   4\r\n  13   3  -2 1953.04 879.408   7\r\n -13   3   2 1840.13 568.788   7\r\n  13  -3   2 2613.44 744.080   2\r\n -13   3   2 1689.96 975.562   6\r\n -13   3   1 37765.5 2360.19   4\r\n  13  -3   1 36901.7 2612.35   4\r\n  13   3  -1 43172.1 3194.78   4\r\n -13   3   1 38297.5 3032.23   6\r\n  13   3  -1 40061.8 1268.78   5\r\n -13  -3  -1 39016.4 2421.65   2\r\n -13   3   0 24087.0 2109.29   4\r\n  13  -3   0 26308.2 1988.88   4\r\n  13  -3   0 25812.0 867.978   7\r\n  13   3   0 25147.4 2416.19   4\r\n -13  -3   0 27321.8 2236.45   2\r\n -13   3   0 25990.4 2518.79   6\r\n  13   3   0 26932.2 1577.28   5\r\n -13   3  -1 40200.6 2917.92   4\r\n  13  -3  -1 40532.5 2228.15   4\r\n  13   3   1 40109.4 2834.95   4\r\n  13  -3  -1 38454.1 1717.76   7\r\n -13  -3   1 35932.2 2828.95   2\r\n -13   3  -1 39948.6 3060.22   6\r\n  13   3   1 42210.6 2442.56   5\r\n  13   3   2 2652.28 755.884   5\r\n -13   3  -2 2755.45 1127.09   3\r\n -13  -3   2 1451.02 914.102   2\r\n  13  -3  -2 2034.16 616.774   7\r\n -13   3  -2 2361.65 853.791   6\r\n  13   3   2 2709.21 955.339   4\r\n  13  -3  -2 1742.34 564.404   4\r\n  13  -3  -3 4838.45 1128.31   5\r\n -13   3  -3 3819.29 1565.58   3\r\n -13  -3   3 5053.65 1345.26   2\r\n  13  -3  -3 6383.63 916.811   4\r\n  13  -3  -3 5248.58 1125.54   7\r\n -13   3  -3 3764.26 1083.49   6\r\n  13   3   3 4966.07 1202.83   4\r\n  13  -3  -4 3523.66 1124.28   5\r\n -13  -3   4 4745.87 1418.55   2\r\n -13   3  -4 4478.77 1766.70   3\r\n  13  -3  -4 4080.19 1247.58   7\r\n -13   3  -4 3465.41 1143.86   6\r\n  13   3   4 4088.17 1347.99   4\r\n  13  -3  -5 673.661 857.639   5\r\n -13  -3   5 964.653 557.976   2\r\n -13   3  -5 2370.95 1250.42   3\r\n  13  -3  -5 1423.89 642.167   7\r\n  13   3   5 93.3610 653.962   4\r\n  13  -3  -6 1737.07 1105.33   5\r\n -13  -3   6 4614.93 1269.61   2\r\n  13  -3  -6 2040.64 867.304   7\r\n  13   3   6 1542.76 1215.31   4\r\n -13  -4  -5 3916.26 1784.13   3\r\n  13   4  -5 4024.74 1418.53   7\r\n  13  -4   5 3231.74 1405.80   4\r\n -13   4   5 3517.00 975.998   6\r\n -13  -4  -4 5089.64 1811.56   3\r\n  13  -4   4 7005.65 1742.35   4\r\n  13   4  -4 5995.06 1544.75   7\r\n -13   4   4 7822.36 1548.04   6\r\n -13  -4  -4 5665.94 1421.94   5\r\n -13  -4  -3-129.309 1035.00   3\r\n  13  -4   3-912.205 923.100   4\r\n  13  -4   3 287.439 306.388   7\r\n  13   4  -3-454.405 1124.19   7\r\n -13   4   3 583.462 470.179   7\r\n -13   4   3-3.91294 654.060   6\r\n -13  -4  -3 349.578 313.723   2\r\n  13  -4   2 11178.4 1669.31   4\r\n -13   4   2 10270.3 1038.06   7\r\n -13  -4  -2 9298.09 1170.89   2\r\n  13   4  -2 11463.7 1764.34   7\r\n -13   4   2 10694.1 1746.59   6\r\n  13  -4   1 10919.2 1549.77   4\r\n -13  -4  -1 9470.29 1439.30   2\r\n -13   4   1 8774.57 1689.14   6\r\n  13   4  -1 10045.6 1797.26   4\r\n  13   4   0 1760.62 449.091   5\r\n -13  -4   0 2018.39 852.615   2\r\n  13  -4   0 2905.99 824.206   4\r\n -13   4   0 2353.10 1144.79   6\r\n  13   4   0 1605.94 1033.59   4\r\n -13   4  -1 9264.48 1637.36   3\r\n  13  -4  -1 10089.5 1177.16   4\r\n -13  -4   1 8701.72 1608.59   2\r\n  13   4   1 10618.9 1641.14   4\r\n -13   4  -1 9979.61 1772.29   6\r\n  13   4   1 10890.0 1269.99   5\r\n  13   4   2 10103.3 1457.83   5\r\n -13   4  -2 10658.6 1936.53   3\r\n  13  -4  -2 9676.19 1056.53   4\r\n -13  -4   2 10271.7 1909.68   2\r\n -13   4  -2 9681.74 1689.55   6\r\n  13   4   2 10325.1 1657.10   4\r\n  13  -4  -3-241.604 821.435   5\r\n -13   4  -3-359.979 728.218   3\r\n -13  -4   3-803.188 962.835   2\r\n -13   4  -3 833.567 576.024   6\r\n  13   4   3-370.381 907.472   4\r\n  13  -4  -4 3147.99 974.783   5\r\n -13   4  -4 6346.64 1881.20   3\r\n -13  -4   4 4380.36 1388.38   2\r\n -13   4  -4 5146.88 1454.59   6\r\n  13   4   4 3632.44 1250.13   4\r\n  13  -4  -5 4182.62 1461.68   5\r\n -13  -4   5 4966.73 1618.41   2\r\n  13   4   5 4278.72 1373.59   4\r\n  13  -5   5 723.010 1230.96   4\r\n  13   5  -5 1178.07 1258.21   7\r\n -13   5   5 2934.48 1040.52   6\r\n -13  -5  -5 4275.55 1336.94   5\r\n -13  -5  -4 475.410 1243.29   3\r\n  13  -5   4 293.787 1109.37   4\r\n  13   5  -4-382.332 1081.45   7\r\n -13   5   4-443.022 810.965   6\r\n -13  -5  -4-684.752 894.024   5\r\n -13  -5  -3 1998.64 620.970   2\r\n -13  -5  -3 3530.08 1312.88   3\r\n  13  -5   3 1951.64 1005.59   4\r\n  13   5  -3 810.274 885.315   7\r\n -13   5   3 2348.53 1189.15   6\r\n -13  -5  -3 1597.95 829.058   5\r\n -13  -5  -2-192.512 587.805   2\r\n  13  -5   2 1185.56 837.591   4\r\n -13   5   2-851.449 400.976   7\r\n  13   5  -2 102.772 752.148   7\r\n -13   5   2-1457.57 896.929   6\r\n -13  -5  -2 892.815 568.392   5\r\n -13  -5  -1 1663.75 816.214   2\r\n  13  -5   1 1630.93 830.273   4\r\n -13   5   1 1736.82 1191.64   6\r\n -13   5   0 3168.94 1046.51   3\r\n  13   5   0 4315.68 582.059   5\r\n -13  -5   0 2921.41 1115.74   2\r\n  13  -5   0 4510.51 998.632   4\r\n -13   5   0 1331.40 769.698   6\r\n  13   5   0 2996.70 1330.85   4\r\n -13   5  -1 1549.89 899.951   3\r\n  13  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5\r\n -13  -6  -3 4738.72 1476.82   3\r\n  13  -6   3 4563.25 1414.57   4\r\n  13   6  -3 2463.99 1510.86   7\r\n -13   6   3 2996.93 1302.58   6\r\n -13  -6  -3 2290.49 1088.69   5\r\n -13  -6  -2 545.136 811.759   3\r\n -13  -6  -2 1150.80 767.805   2\r\n  13  -6   2 626.729 1021.08   4\r\n  13   6  -2 833.405 993.264   7\r\n -13   6   2 859.559 957.434   6\r\n -13  -6  -2 1183.45 627.177   5\r\n -13  -6  -1 1072.56 816.610   2\r\n  13  -6   1-226.436 824.883   4\r\n -13   6   1 1288.87 895.951   6\r\n -13   6   1 709.268 578.531   3\r\n -13   6   0 303.426 750.936   3\r\n -13  -6   0 2802.55 904.913   2\r\n  13  -6   0 495.293 632.203   4\r\n -13   6   0 2169.92 885.722   6\r\n -13   6  -1 2263.10 1051.79   3\r\n -13  -6   1 1099.38 697.132   2\r\n  13  -6  -1 239.691 402.371   4\r\n -13   6  -1 523.136 740.254   6\r\n  13   6   1 1119.79 1182.36   4\r\n -13  -6   2 2094.19 1000.29   2\r\n  13  -6  -2 859.747 721.065   5\r\n -13   6  -2 1575.55 757.412   3\r\n -13   6  -2 393.631 1128.64   6\r\n  13   6   2 282.475 934.954   4\r\n  13  -6  -3 2279.33 1380.99   5\r\n -13   6  -3 468.417 1262.25   3\r\n -13  -6   3 3088.52 1476.44   2\r\n -13   6  -3 2678.35 1161.60   6\r\n  13   6   3 2538.27 1280.95   4\r\n  13  -6  -4 2195.08 823.674   5\r\n -13  -6   4 3297.81 1646.03   2\r\n  13   6   4 2314.12 1186.92   4\r\n  13  -7   3 844.376 784.365   4\r\n  13   7  -3-164.331 802.673   7\r\n -13   7   3 96.0119 698.522   6\r\n -13  -7  -3-416.615 514.624   5\r\n -13  -7  -2 2730.55 749.317   2\r\n  13  -7   2 2998.53 1060.16   4\r\n  13   7  -2 1064.40 962.226   7\r\n -13   7   2 717.766 1185.31   6\r\n -13  -7  -2 1033.52 567.041   5\r\n -13  -7  -1 1903.70 852.092   2\r\n  13  -7   1 2270.70 1008.93   4\r\n -13   7   1 2572.02 1258.58   6\r\n  13   7  -1 1410.54 605.972   1\r\n -13  -7  -1 1373.62 686.974   5\r\n -13  -7   0 689.133 1003.94   2\r\n  13  -7   0 1085.72 719.703   4\r\n -13   7   0 2494.58 1120.76   6\r\n -13   7  -1 2909.03 1127.42   3\r\n -13  -7   1 2637.72 946.466   2\r\n -13   7  -1 2878.63 1052.00   6\r\n  13  -7  -2 899.353 904.553   5\r\n -13  -7   2 246.353 1083.12   2\r\n -13   7  -2 733.983 1039.75   3\r\n -13   7  -2 2432.81 1249.36   6\r\n  13   7   2 1420.93 1138.53   4\r\n  13  -7  -3 907.479 608.859   5\r\n  13   7   3-118.804 1267.03   4\r\n  13  -8   2-750.994 1060.39   4\r\n  13   8  -2-142.832 654.582   7\r\n  13  -8   1 1069.59 977.568   4\r\n -13  -8  -1-683.379 616.231   2\r\n -13   8   1 85.6373 922.895   6\r\n -13  -8   0 1045.29 879.711   2\r\n  13   8   0-668.747 985.508   1\r\n -13   8   0 1617.12 910.313   6\r\n  13   8   1 892.504 782.371   1\r\n -13   8  -1-943.132 930.511   6\r\n -13  -8   1 40.6170 1310.45   2\r\n  13  -8  -2 247.290 795.962   5\r\n  13   8   2 346.006 785.983   1\r\n -13  -8   2-367.986 1042.63   2\r\n -14   0   0 11974.8 1449.31   4\r\n  14   0   0 10631.4 1428.31   4\r\n -14   0   0 11393.2 1370.66   2\r\n  14   0   0 9871.22 1364.87   2\r\n  14   0   1 1190.15 623.339   2\r\n  14   0  -1 1247.25 712.616   2\r\n -14   0  -1 58.0128 453.123   4\r\n  14   0  -1 685.734 526.562   7\r\n -14   0   1 1014.06 551.400   4\r\n  14   0   1 1807.87 857.556   4\r\n -14   0  -1 402.436 505.458   2\r\n  14   0  -1 966.395 603.619   4\r\n -14   0  -1 1200.12 638.593   6\r\n -14   0   1 716.606 579.620   2\r\n  14   0   2 6525.73 992.948   2\r\n  14   0  -2 6436.17 1088.42   7\r\n  14   0   2 7346.86 1356.35   4\r\n -14   0   2 6477.27 1094.17   4\r\n -14   0  -2 6576.24 1219.57   6\r\n  14   0  -2 7381.86 1224.17   4\r\n -14   0   2 8240.65 1408.13   2\r\n  14   0   2 5335.50 1060.70   5\r\n  14   0   3 592.442 540.309   2\r\n -14   0  -3 1592.03 1233.43   3\r\n  14   0  -3 1085.80 572.686   5\r\n  14   0  -3 1026.39 786.866   7\r\n  14   0   3 911.716 927.143   4\r\n -14   0   3 1439.62 621.226   4\r\n -14   0  -3 1178.05 695.523   6\r\n  14   0  -3 809.978 565.097   1\r\n -14   0   3 771.359 655.689   2\r\n  14   0  -4 287.160 500.946   5\r\n  14   0   4-278.500 331.671   2\r\n -14   0  -4 811.595 1398.66   3\r\n  14   0  -4-1026.21 479.858   1\r\n  14   0  -4 61.4412 746.433   7\r\n  14   0   4-418.190 963.997   4\r\n -14   0  -4-450.903 515.511   6\r\n -14   0   4 1041.05 579.584   4\r\n -14   0   4 322.300 661.032   2\r\n  14   0  -5 194.459 597.401   5\r\n  14   0  -5 1797.58 1044.80   7\r\n  14   0   5 2253.39 994.660   4\r\n -14   0   5 968.086 613.580   2\r\n  14   0  -6 532.033 633.610   5\r\n -14   0  -6-731.750 2006.82   3\r\n  14   0  -6 868.430 973.001   7\r\n  14   0   6-381.135 1185.31   4\r\n -14   0   6 1176.01 693.040   2\r\n  14   1  -6 2963.81 1236.02   7\r\n  14  -1   6 3191.32 1040.87   4\r\n -14   1   6 862.925 791.792   2\r\n  14   1  -5 2009.61 567.307   5\r\n -14  -1  -5 1607.18 1761.43   3\r\n  14   1  -5 1768.96 1030.44   7\r\n  14  -1   5 652.052 1154.77   4\r\n -14   1   5 1188.22 882.402   2\r\n  14   1  -4 2489.10 713.667   5\r\n -14  -1  -4 2144.48 1304.39   3\r\n  14   1  -4 3462.26 684.140   1\r\n  14  -1   4 1292.26 1086.66   4\r\n -14   1   4 1748.43 693.660   4\r\n -14  -1  -4 1766.30 623.322   6\r\n  14   1  -4 3359.96 1319.78   7\r\n -14   1   4 1364.80 770.896   2\r\n  14  -1   4 3003.87 773.941   2\r\n -14  -1  -3 11012.8 2293.87   3\r\n  14  -1   3 15329.8 1934.51   4\r\n -14   1   3 13253.6 1464.55   4\r\n  14  -1   3 12737.8 1412.60   7\r\n  14   1  -3 14329.3 1886.52   7\r\n -14   1   3 12612.4 1821.12   2\r\n  14   1  -3 14609.9 1405.31   1\r\n  14  -1   3 13095.4 1418.43   2\r\n -14  -1  -3 13642.3 1483.41   6\r\n  14   1  -3 13765.3 1280.96   5\r\n  14   1  -2 5711.30 1126.51   7\r\n  14  -1   2 5090.04 1174.43   4\r\n -14   1   2 4974.01 955.065   4\r\n -14  -1  -2 3789.62 736.436   2\r\n -14   1   2 3095.16 1052.37   2\r\n -14  -1  -2 3859.16 928.155   6\r\n  14   1  -2 3685.48 1126.04   4\r\n  14  -1   2 4638.55 916.381   2\r\n  14  -1   1 261.301 657.508   2\r\n  14   1  -1-350.183 620.944   2\r\n -14  -1  -1 608.397 559.210   4\r\n  14   1  -1 1008.43 647.778   7\r\n -14   1   1 311.074 512.199   4\r\n  14  -1   1 560.064 510.616   4\r\n -14   1   1 588.509 763.102   2\r\n  14   1  -1 1539.83 728.266   4\r\n -14  -1  -1 830.370 525.810   2\r\n -14   1   0 8607.24 1224.28   4\r\n -14  -1   0 10238.5 1404.46   4\r\n  14  -1   0 8770.18 1234.18   4\r\n -14   1   0 8582.72 1256.89   2\r\n  14   1   0 9458.72 1394.85   2\r\n  14  -1   0 7387.30 893.523   7\r\n -14  -1   0 11001.2 1378.51   2\r\n  14  -1   0 9424.06 1376.43   2\r\n  14   1   0 8747.11 1343.49   4\r\n -14   1   0 9692.92 1483.92   6\r\n -14  -1   1 190.159 578.756   2\r\n  14  -1  -1 1240.91 738.881   2\r\n  14   1   1 758.578 480.169   2\r\n -14   1  -1 39.0641 329.124   4\r\n  14  -1  -1 420.786 440.612   7\r\n -14  -1   1 1174.73 546.050   4\r\n  14   1   1 776.743 725.256   4\r\n  14  -1  -1 1137.59 709.196   4\r\n -14   1  -1 53.8308 625.379   6\r\n  14   1   1 716.291 570.945   5\r\n  14   1   2 3787.00 928.429   5\r\n -14  -1   2 4793.63 1152.79   2\r\n -14   1  -2 5083.63 1403.75   3\r\n  14  -1  -2 4236.54 917.450   1\r\n  14   1   2 5795.79 900.910   2\r\n  14  -1  -2 4048.17 963.840   7\r\n  14   1   2 5040.51 1134.73   4\r\n -14  -1   2 4821.73 1034.79   4\r\n -14   1  -2 5026.43 1212.56   6\r\n  14  -1  -2 5529.91 986.091   4\r\n -14   1  -3 12161.7 2221.99   3\r\n  14   1   3 12746.8 1759.43   4\r\n  14  -1  -3 12547.5 1705.81   7\r\n  14  -1  -3 11991.0 1578.72   4\r\n -14  -1   3 11606.2 1774.88   2\r\n  14   1   3 14519.0 1273.97   2\r\n -14   1  -3 12368.4 1642.24   6\r\n  14  -1  -3 13567.6 1538.71   5\r\n -14  -1   4 2152.71 1111.33   2\r\n  14  -1  -4 2120.75 918.358   5\r\n -14   1  -4 3278.25 1546.42   3\r\n  14  -1  -4 2911.65 1111.97   7\r\n  14   1   4 2018.47 1045.96   4\r\n  14   1   4 2973.48 405.158   2\r\n -14   1  -4 1827.70 766.512   6\r\n -14  -1   5 529.287 759.255   2\r\n  14  -1  -5 1401.15 836.034   5\r\n -14   1  -5 449.573 1859.84   3\r\n  14  -1  -5 1149.26 830.448   7\r\n  14   1   5 292.033 1006.51   4\r\n -14  -1   6-214.726 857.536   2\r\n  14  -1  -6 724.914 940.535   5\r\n  14  -1  -6 423.018 1311.74   7\r\n  14   1   6 1781.57 1039.14   4\r\n -14  -2  -6 8.68645 2054.13   3\r\n  14   2  -6 950.636 1034.04   7\r\n -14   2   6 2483.49 905.769   2\r\n -14   2   6 1856.53 1100.36   6\r\n -14  -2  -5 5447.82 1906.49   3\r\n  14   2  -5 5426.91 1701.87   7\r\n  14  -2   5 3357.54 1248.04   4\r\n -14   2   5 3145.84 1058.19   2\r\n -14   2   5 2887.91 1026.16   6\r\n  14   2  -4 1062.48 479.753   5\r\n -14  -2  -4 2961.39 1519.20   3\r\n  14  -2   4-273.201 683.608   7\r\n  14   2  -4 1234.16 947.012   7\r\n  14  -2   4 1416.94 1167.07   4\r\n  14   2  -4 2182.82 468.906   1\r\n -14   2   4 1880.87 457.028   4\r\n -14  -2  -4 594.743 408.754   6\r\n -14   2   4 604.110 796.096   2\r\n  14  -2   4 502.533 554.267   2\r\n  14   2  -3 815.241 320.664   5\r\n -14  -2  -3 1042.13 1308.01   3\r\n  14  -2   3 1273.45 679.227   7\r\n  14   2  -3 1292.08 916.879   7\r\n  14  -2   3 1343.25 908.221   4\r\n -14   2   3 1370.20 656.151   7\r\n -14   2   3 1767.89 597.614   4\r\n -14   2   3 1055.47 823.312   2\r\n  14  -2   3 1043.51 646.636   2\r\n -14  -2  -3 1482.58 617.301   6\r\n -14   2   3 233.224 875.158   6\r\n -14   2   2 7519.63 1079.30   4\r\n  14  -2   2 7740.27 908.687   7\r\n -14  -2  -2 8430.63 1052.20   2\r\n  14   2  -2 9874.48 1442.16   7\r\n  14  -2   2 8815.76 1504.09   4\r\n -14   2   2 7713.39 1402.32   2\r\n  14  -2   2 7612.37 1202.35   2\r\n -14   2   2 8802.00 1563.25   6\r\n  14   2  -2 8944.10 1580.02   4\r\n  14   2  -2 7861.10 708.669   5\r\n -14  -2  -1 2374.39 725.288   2\r\n -14   2   1 1040.44 678.225   2\r\n -14   2   1 1353.57 614.050   4\r\n  14  -2   1 3215.17 917.346   4\r\n -14   2   1 1431.90 750.445   6\r\n  14   2  -1 1519.34 777.837   4\r\n  14  -2   1 2270.40 709.525   2\r\n  14   2   0-325.591 301.948   5\r\n -14  -2   0-882.953 560.248   2\r\n -14   2   0 112.402 494.502   4\r\n  14  -2   0-589.612 387.657   7\r\n  14   2   0-602.673 644.997   2\r\n  14  -2   0-128.230 492.909   4\r\n -14   2   0 15.7672 567.078   6\r\n  14   2   0-243.907 885.554   4\r\n  14  -2   0-1276.41 599.505   2\r\n  14   2   1 1237.36 536.268   5\r\n -14  -2   1 1780.60 804.883   2\r\n -14   2  -1 1656.03 650.082   4\r\n  14  -2  -1 1788.93 548.785   7\r\n  14   2   1 2076.90 739.616   2\r\n  14  -2  -1 1562.88 651.749   4\r\n  14   2   1 1733.90 913.429   4\r\n -14   2  -1 684.071 600.193   6\r\n  14   2   2 8021.63 1347.14   5\r\n -14   2  -2 11121.0 2037.80   3\r\n -14  -2   2 8751.25 1574.05   2\r\n  14  -2  -2 7875.59 1132.88   4\r\n  14  -2  -2 8207.46 1207.78   7\r\n  14   2   2 9220.30 1155.71   2\r\n  14   2   2 8977.20 1483.11   4\r\n -14   2  -2 5915.88 1311.13   6\r\n -14  -2   3 1979.99 1152.55   2\r\n -14   2  -3 1088.15 1023.52   3\r\n  14  -2  -3 1549.19 802.309   5\r\n  14  -2  -3 1838.00 836.873   7\r\n  14   2   3 1771.33 957.514   4\r\n -14   2  -3 122.758 491.204   6\r\n  14  -2  -3 1139.75 608.074   4\r\n -14  -2   4 772.822 810.683   2\r\n  14  -2  -4 924.293 856.828   5\r\n -14   2  -4 929.289 1193.45   3\r\n  14  -2  -4 1094.30 818.976   7\r\n  14   2   4 150.709 957.007   4\r\n -14   2  -4 759.817 719.935   6\r\n -14  -2   5 5337.23 1255.50   2\r\n  14  -2  -5 2518.59 1033.58   5\r\n -14   2  -5 1978.85 1791.53   3\r\n  14  -2  -5 3972.99 1413.13   7\r\n  14   2   5 3903.94 1274.13   4\r\n -14  -2   6 4172.70 1523.65   2\r\n  14  -2  -6 5564.12 1299.19   5\r\n  14  -2  -6 2694.14 1076.25   7\r\n  14   2   6 3745.48 1227.13   4\r\n  14   3  -6-313.477 785.651   7\r\n  14  -3   6 341.354 1211.58   4\r\n -14   3   6-863.131 913.297   6\r\n -14  -3  -5 3093.99 1734.30   3\r\n  14   3  -5 2632.03 1170.15   7\r\n  14  -3   5 1422.94 1289.83   4\r\n -14   3   5 3496.52 1054.69   6\r\n -14  -3  -4 975.346 1310.85   3\r\n  14   3  -4 3083.36 1296.03   7\r\n  14  -3   4 3303.38 1332.18   4\r\n -14   3   4 2784.07 1189.36   6\r\n -14  -3  -3 1044.67 1143.67   3\r\n  14  -3   3 224.287 393.434   7\r\n -14   3   3 1179.24 500.091   4\r\n  14  -3   3 2271.87 899.583   4\r\n  14   3  -3 897.118 839.706   7\r\n -14   3   3 1216.25 633.293   7\r\n -14  -3  -3 1172.51 353.027   2\r\n -14   3   3 1535.82 792.850   6\r\n -14  -3  -2 6809.67 1001.40   2\r\n  14  -3   2 5986.21 637.049   7\r\n -14   3   2 5820.22 983.799   4\r\n  14  -3   2 7142.04 1385.53   4\r\n  14   3  -2 6345.72 1272.90   7\r\n -14   3   2 5290.88 1342.75   6\r\n  14   3  -2 6651.70 1632.85   4\r\n -14   3   1 21615.0 1888.71   4\r\n  14  -3   1 20497.7 2080.11   4\r\n  14  -3   1 23096.5 755.912   7\r\n  14  -3   1 22010.4 684.987   7\r\n  14   3  -1 25213.5 2676.50   4\r\n -14  -3  -1 27737.2 2128.42   2\r\n -14   3   1 21631.2 2398.90   6\r\n  14   3  -1 25022.3 1131.87   5\r\n  14   3   0 97.5800 323.911   5\r\n -14  -3   0 297.796 657.836   2\r\n -14   3   0 960.913 642.088   4\r\n  14  -3   0 243.705 181.383   7\r\n  14  -3   0 391.438 489.205   4\r\n  14   3   0-70.0858 644.242   4\r\n  14  -3  -1 23752.4 1824.84   4\r\n  14   3   1 22340.0 2271.18   4\r\n  14  -3  -1 25406.8 1475.47   7\r\n -14  -3   1 22624.3 2319.01   2\r\n -14   3  -1 26585.6 2600.02   6\r\n  14   3   1 22346.3 1870.53   5\r\n  14   3   2 7356.07 1283.83   5\r\n -14   3  -2 8180.14 1811.03   3\r\n -14  -3   2 6656.12 1508.74   2\r\n  14  -3  -2 6388.42 1052.17   7\r\n -14   3  -2 7341.42 1529.21   6\r\n  14   3   2 6577.44 1361.00   4\r\n  14  -3  -2 6942.32 1017.54   4\r\n  14  -3  -3 1196.73 721.738   5\r\n -14   3  -3 730.596 1029.76   3\r\n -14  -3   3-514.339 935.057   2\r\n  14  -3  -3 334.850 699.329   7\r\n -14   3  -3-145.154 837.545   6\r\n  14   3   3 1081.97 726.290   4\r\n  14  -3  -3 699.235 475.886   4\r\n  14  -3  -4 4038.07 1136.00   5\r\n -14  -3   4 5716.14 1320.69   2\r\n -14   3  -4 4203.59 1668.08   3\r\n  14  -3  -4 2687.65 1077.53   7\r\n -14   3  -4 2668.87 1103.50   6\r\n  14   3   4 3705.14 1278.71   4\r\n  14  -3  -5 3446.81 1321.59   5\r\n -14  -3   5 2773.26 1541.47   2\r\n -14   3  -5 1384.32 1722.87   3\r\n  14  -3  -5 5822.97 1277.95   7\r\n  14   3   5 2022.05 1137.40   4\r\n  14  -3  -6 669.265 573.317   5\r\n  14  -3  -6-1814.30 1273.00   7\r\n  14   3   6 154.833 1051.91   4\r\n -14  -4  -5 532.921 1590.90   3\r\n  14   4  -5 116.859 1129.69   7\r\n  14  -4   5 1862.31 1344.06   4\r\n -14   4   5 345.133 927.729   6\r\n -14  -4  -4 119.279 1362.92   3\r\n  14  -4   4-2280.65 1401.55   4\r\n  14   4  -4 706.892 827.929   7\r\n -14   4   4 1282.42 831.035   6\r\n -14  -4  -3-177.614 1271.90   3\r\n  14  -4   3 636.073 821.218   4\r\n  14   4  -3-522.169 1154.37   7\r\n -14   4   3-179.902 629.292   7\r\n -14   4   3-299.563 773.081   6\r\n -14  -4  -3-579.338 331.439   2\r\n -14  -4  -2 3394.90 816.976   2\r\n  14  -4   2 3514.63 1156.01   4\r\n  14   4  -2 3298.33 1172.38   7\r\n -14   4   2 3747.84 1122.05   6\r\n -14  -4  -1 6045.17 1196.20   2\r\n  14  -4   1 7312.59 1373.91   4\r\n -14   4   1 7140.19 1569.99   6\r\n  14   4  -1 8250.30 1701.95   4\r\n  14  -4   0 11066.0 1477.02   4\r\n -14  -4   0 10595.8 1630.21   2\r\n  14   4   0 14536.6 2076.61   4\r\n -14   4   0 10147.9 1853.85   6\r\n  14   4   0 11377.4 1019.57   5\r\n -14   4  -1 6750.99 1562.26   3\r\n  14   4   1 7789.82 1156.21   5\r\n -14  -4   1 7418.10 1515.82   2\r\n  14  -4  -1 7627.28 1125.76   4\r\n -14   4  -1 7617.18 1679.20   6\r\n  14   4   1 4425.55 1350.55   4\r\n  14   4   2 3076.90 1032.10   5\r\n -14   4  -2 1156.56 1255.88   3\r\n -14  -4   2 3345.35 1336.00   2\r\n -14   4  -2 5749.16 1436.41   6\r\n  14  -4  -2 3814.46 800.086   4\r\n  14   4   2 3818.24 1119.76   4\r\n  14  -4  -3 82.2724 736.834   5\r\n -14   4  -3 1199.64 1021.20   3\r\n -14  -4   3 825.741 1232.92   2\r\n  14  -4  -3-17.5578 452.340   7\r\n -14   4  -3 306.113 631.573   6\r\n  14   4   3-51.6448 896.663   4\r\n  14  -4  -3 1.33275 355.461   4\r\n  14  -4  -4-1982.65 1262.99   5\r\n -14   4  -4-2153.45 1891.98   3\r\n -14  -4   4-2372.96 1226.54   2\r\n  14  -4  -4-2487.33 883.884   7\r\n -14   4  -4 13.3212 507.008   6\r\n  14   4   4-533.009 847.978   4\r\n  14  -4  -5 923.201 1031.59   5\r\n -14  -4   5-1168.46 878.523   2\r\n  14   4   5-152.952 1283.54   4\r\n -14  -5  -5 2800.50 1720.24   3\r\n  14  -5   5 35.6238 1144.20   4\r\n  14   5  -5-164.749 985.226   7\r\n -14   5   5-1166.85 1102.79   6\r\n -14  -5  -4 2374.25 1224.82   3\r\n  14  -5   4 2957.15 1338.97   4\r\n  14   5  -4 4713.65 1511.45   7\r\n -14   5   4 4920.06 1494.77   6\r\n -14  -5  -4 3725.29 1359.87   5\r\n -14  -5  -3 4646.74 1749.06   3\r\n  14  -5   3 6591.40 1617.11   4\r\n  14   5  -3 7528.80 1656.87   7\r\n -14   5   3 6504.13 1577.35   6\r\n -14  -5  -2 1753.10 748.687   2\r\n  14  -5   2 1707.35 1030.41   4\r\n  14   5  -2 2443.98 1159.20   7\r\n -14   5   2 3378.31 1234.13   6\r\n -14  -5  -1 3286.13 955.045   2\r\n  14  -5   1 2174.80 889.091   4\r\n -14   5   1 1836.27 973.428   6\r\n  14   5   0 1147.04 387.383   5\r\n -14  -5   0 1505.88 872.272   2\r\n  14  -5   0 1703.70 758.315   4\r\n -14   5   0 2524.29 1232.57   6\r\n  14   5   0-488.146 1055.38   4\r\n -14   5   0 660.557 802.910   3\r\n -14   5  -1 2374.27 934.811   3\r\n  14   5   1 2327.40 684.183   5\r\n -14  -5   1 1554.89 1022.72   2\r\n  14  -5  -1 2177.10 709.185   4\r\n -14   5  -1 2572.64 1033.29   6\r\n  14   5   1 2579.24 1186.76   4\r\n -14   5  -2 2402.07 1160.04   3\r\n -14  -5   2 215.978 1033.15   2\r\n -14   5  -2 1062.18 869.710   6\r\n  14  -5  -2 1403.08 546.031   4\r\n  14   5   2 1935.56 1025.38   4\r\n  14  -5  -3 6474.59 1494.10   5\r\n -14   5  -3 5311.46 1751.70   3\r\n -14  -5   3 6119.86 1847.27   2\r\n -14   5  -3 4145.55 1458.17   6\r\n  14   5   3 5318.46 1522.24   4\r\n  14  -5  -4 4193.85 1179.95   5\r\n -14   5  -4 541.719 782.633   3\r\n -14  -5   4 4172.32 1345.53   2\r\n  14   5   4 5534.67 1459.75   4\r\n  14  -5  -5 433.779 804.872   5\r\n -14  -5   5 524.167 844.405   2\r\n  14   5   5 1780.01 876.934   4\r\n -14  -6  -4 1137.30 1494.28   3\r\n  14  -6   4 4142.24 1617.73   4\r\n  14   6  -4 2522.60 1309.52   7\r\n -14   6   4 1070.84 1010.27   6\r\n -14  -6  -4 3762.18 1070.52   5\r\n -14  -6  -3 1121.44 1225.63   3\r\n  14  -6   3-2212.97 1335.21   4\r\n  14   6  -3-169.775 939.498   7\r\n -14   6   3-1990.82 1076.40   6\r\n -14  -6  -3-572.041 706.231   5\r\n -14  -6  -2 4111.63 1429.48   3\r\n -14  -6  -2 3722.44 1064.08   2\r\n  14  -6   2 4426.74 1236.18   4\r\n  14   6  -2 3518.29 1382.46   7\r\n -14   6   2 4476.23 1362.32   6\r\n -14  -6  -1 2398.67 952.419   2\r\n  14  -6   1 1624.64 929.551   4\r\n -14   6   1 2401.79 1134.46   6\r\n -14   6   0 3393.26 1022.77   3\r\n -14  -6   0 1440.34 1011.85   2\r\n  14  -6   0 1809.86 729.433   4\r\n -14   6   0 1514.40 1241.04   6\r\n -14   6  -1 1278.14 904.792   3\r\n -14  -6   1 1210.39 1072.50   2\r\n  14  -6  -1 1847.73 557.696   4\r\n -14   6  -1 2113.13 989.419   6\r\n  14   6   1 2195.36 1331.07   4\r\n -14   6  -2 6161.16 1659.90   3\r\n -14  -6   2 3656.16 1378.34   2\r\n -14   6  -2 3724.55 1465.08   6\r\n  14   6   2 3875.58 1479.48   4\r\n  14  -6  -3 130.883 1034.61   5\r\n -14   6  -3-1598.11 1272.19   3\r\n -14  -6   3-587.284 1388.23   2\r\n -14   6  -3-1489.93 941.697   6\r\n  14   6   3-145.092 894.453   4\r\n  14  -6  -4 6288.93 1471.25   5\r\n -14  -6   4 4215.94 1739.08   2\r\n  14   6   4 4648.52 1391.28   4\r\n  14  -7   3 4670.86 1720.96   4\r\n  14   7  -3 3175.50 1392.91   7\r\n -14   7   3 2731.29 1097.59   6\r\n -14  -7  -3 2288.02 1054.21   5\r\n -14  -7  -2 1646.92 995.759   2\r\n  14  -7   2 2554.58 1216.36   4\r\n  14   7  -2 2618.74 1222.64   7\r\n -14   7   2 4655.64 1387.74   6\r\n -14  -7  -2 29.7831 653.233   5\r\n -14  -7  -1 1026.06 1061.84   2\r\n  14  -7   1 2002.17 903.921   4\r\n -14   7   1-598.746 1390.07   6\r\n -14  -7   0-1358.87 1020.62   2\r\n  14  -7   0-140.704 733.669   4\r\n -14   7   0 33.8520 306.480   6\r\n -14   7  -1 1117.60 1241.59   3\r\n -14  -7   1 2137.63 883.235   2\r\n  14  -7  -2 1182.43 1129.13   5\r\n -14   7  -2 117.345 600.582   3\r\n -14  -7   2 3301.03 1129.62   2\r\n -14   7  -2-1542.02 1209.96   6\r\n  14   7   2 150.830 1439.89   4\r\n  14  -7  -3 3381.64 1651.14   5\r\n -14  -7   3 3494.82 1826.15   2\r\n  14   7   3 1569.28 1575.16   4\r\n  14  -8   1 280.414 952.143   4\r\n -14   8   1-1345.63 1161.77   6\r\n -14  -8   0 324.293 557.629   2\r\n  14   8   0 665.256 684.281   1\r\n -14   8   0-553.908 920.333   6\r\n -14  -8   1 1444.42 1246.16   2\r\n -14   8  -1 2158.44 953.081   6\r\n  14   8   1 1016.35 815.817   1\r\n  15   0   0 683.740 442.284   2\r\n -15   0   0-1372.72 731.489   4\r\n  15   0   0 75.1635 685.693   4\r\n -15   0   0 754.712 592.148   2\r\n -15   0   1 19145.8 1878.32   4\r\n  15   0   1 21083.2 2046.59   4\r\n  15   0  -1 21877.3 2039.54   4\r\n -15   0  -1 22666.7 1850.66   2\r\n  15   0  -1 19311.9 1720.93   7\r\n -15   0   1 19337.7 2051.20   2\r\n  15   0   1 21120.0 1929.34   2\r\n -15   0  -1 19548.6 2079.54   6\r\n  15   0   2 6031.86 1003.13   2\r\n  15   0  -2 6137.57 1131.75   7\r\n  15   0   2 7044.06 1338.06   4\r\n -15   0   2 5443.24 1042.34   4\r\n -15   0  -2 6245.33 1217.32   6\r\n  15   0  -2 4895.55 1089.51   4\r\n -15   0   2 4245.54 1102.12   2\r\n -15   0  -3 24341.1 3157.34   3\r\n  15   0   3 23008.6 2504.76   4\r\n -15   0   3 21600.2 2005.20   4\r\n  15   0  -3 23449.3 1981.40   1\r\n  15   0  -3 25506.9 2415.23   7\r\n  15   0  -3 18401.5 2253.65   4\r\n -15   0   3 23670.6 2517.02   2\r\n  15   0   3 23865.7 1831.16   2\r\n -15   0  -3 25176.8 2164.35   6\r\n  15   0  -3 24973.5 1907.11   5\r\n  15   0  -4-15.1589 615.321   5\r\n -15   0  -4-2165.80 1378.29   3\r\n  15   0  -4 131.030 743.189   7\r\n  15   0  -4-205.220 638.924   1\r\n  15   0   4 1714.88 1056.57   4\r\n -15   0  -4-218.007 699.231   6\r\n -15   0   4-332.161 703.608   2\r\n  15   0  -5 938.105 651.139   5\r\n -15   0  -5 620.434 762.553   3\r\n  15   0  -5-19.4202 851.880   7\r\n  15   0   5 939.483 972.756   4\r\n -15   0   5 829.043 695.260   2\r\n  15   0  -6 2719.69 963.603   5\r\n -15   0  -6 804.059 1749.45   3\r\n  15   0  -6 1870.31 1159.49   7\r\n  15   0   6 2544.14 1431.42   4\r\n -15   0   6 4354.12 1184.86   2\r\n -15  -1  -6-353.327 1839.82   3\r\n  15   1  -6 260.425 990.909   7\r\n  15  -1   6 2844.50 1438.14   4\r\n -15   1   6 1414.36 1097.21   2\r\n  15   1  -5 1403.17 649.215   5\r\n -15  -1  -5 647.770 1671.40   3\r\n  15   1  -5 531.392 764.801   7\r\n  15  -1   5 366.322 1079.44   4\r\n -15   1   5-1414.63 1080.29   2\r\n  15   1  -4 3243.40 846.698   5\r\n -15  -1  -4 3726.08 1801.24   3\r\n  15   1  -4 4156.72 1248.16   7\r\n  15  -1   4 3461.56 1344.05   4\r\n -15   1   4 3073.04 761.910   4\r\n -15  -1  -4 3628.80 844.702   6\r\n  15   1  -4 2474.50 801.225   1\r\n -15   1   4 2462.37 1051.98   2\r\n  15  -1   4 3515.37 856.428   2\r\n -15  -1  -3-15.4748 1309.32   3\r\n  15   1  -3 319.128 348.071   5\r\n  15   1  -3 691.971 306.823   1\r\n  15  -1   3-103.937 498.962   7\r\n  15   1  -3 478.285 917.529   7\r\n  15  -1   3-394.087 997.260   4\r\n -15   1   3 129.728 337.418   4\r\n -15  -1  -3 9.44861 541.686   6\r\n -15   1   3-895.031 817.846   2\r\n  15  -1   3-239.751 501.924   2\r\n -15  -1  -2 8583.14 1089.77   2\r\n  15  -1   2 9799.49 1332.36   2\r\n  15   1  -2 8798.86 1378.09   7\r\n -15   1   2 7509.07 1178.38   4\r\n  15  -1   2 9063.15 1522.34   4\r\n -15  -1  -2 10162.4 1447.83   6\r\n -15   1   2 7900.63 1382.85   2\r\n  15   1  -2 9138.14 1562.94   4\r\n -15   1   1 22734.0 1958.91   4\r\n  15  -1   1 23523.2 2124.19   4\r\n  15   1  -1 17851.9 1968.05   4\r\n -15   1   1 19601.0 1965.18   2\r\n -15  -1  -1 22087.4 1849.03   2\r\n  15   1  -1 18675.9 1862.66   7\r\n  15  -1   1 22572.5 2010.67   2\r\n -15   1   0 21090.2 1980.51   4\r\n  15  -1   0 15725.7 1736.30   4\r\n  15   1   0 18595.5 1954.10   4\r\n -15   1   0 18371.0 1811.55   2\r\n  15  -1   0 15182.9 1314.40   7\r\n -15  -1   0 18877.1 1866.01   2\r\n  15  -1   0 18992.7 1926.41   2\r\n  15   1   0 21224.4 2050.94   2\r\n -15   1   0 16610.2 1996.34   6\r\n  15   1   1 21720.6 2151.71   4\r\n  15  -1  -1 18820.3 1814.36   4\r\n  15  -1  -1 18645.7 1527.73   7\r\n -15  -1   1 20242.0 2080.61   2\r\n  15   1   1 19730.4 1902.67   2\r\n -15   1  -1 17626.5 2039.71   6\r\n  15   1   1 16496.8 1616.95   5\r\n -15  -1   2 7728.90 1483.15   2\r\n  15   1   2 10398.1 1572.25   4\r\n  15  -1  -2 9852.72 1341.77   4\r\n  15  -1  -2 8090.25 1230.90   7\r\n  15   1   2 10032.6 1256.67   2\r\n -15   1  -2 9396.77 1484.07   6\r\n -15   1  -2 8555.94 1791.85   3\r\n -15  -1   3-1131.90 918.069   2\r\n -15   1  -3-335.166 559.400   3\r\n  15  -1  -3-205.385 611.117   5\r\n  15   1   3-249.742 504.151   2\r\n  15  -1  -3 347.321 877.141   7\r\n  15   1   3-510.134 849.800   4\r\n -15   1  -3-205.920 622.203   6\r\n  15  -1  -3 745.164 626.465   4\r\n -15  -1   4 3466.29 1228.06   2\r\n  15  -1  -4 3949.71 1133.18   5\r\n -15   1  -4 5398.03 1847.49   3\r\n  15  -1  -4 3702.08 1360.63   7\r\n  15   1   4 3541.94 1317.67   4\r\n -15   1  -4 3815.83 997.414   6\r\n -15  -1   5 51.6728 307.186   2\r\n  15  -1  -5 1302.70 822.099   5\r\n -15   1  -5 2290.74 1508.07   3\r\n  15  -1  -5 425.162 836.289   7\r\n -15   1  -5 79.1608 591.589   6\r\n  15   1   5 772.814 893.072   4\r\n -15  -1   6-735.767 1477.92   2\r\n  15  -1  -6-584.746 838.063   5\r\n  15  -1  -6 1010.69 1099.16   7\r\n  15   1   6-19.1902 1239.19   4\r\n -15  -2  -6-1661.94 1902.30   3\r\n  15   2  -6-2410.10 1599.73   7\r\n  15  -2   6 596.495 1213.90   4\r\n -15   2   6-776.047 618.493   2\r\n -15   2   6-960.396 1066.37   6\r\n -15  -2  -5 403.049 2052.84   3\r\n  15   2  -5 1381.61 1189.08   7\r\n  15  -2   5 1578.38 1297.60   4\r\n -15   2   5 2421.64 1034.63   2\r\n -15   2   5-52.9005 594.740   6\r\n -15  -2  -4 13856.7 2734.07   3\r\n  15  -2   4 16096.8 2352.12   4\r\n -15   2   4 10813.4 1310.64   4\r\n -15   2   4 17904.8 2189.20   2\r\n  15  -2   4 13089.3 1667.44   2\r\n  15   2  -4 10852.2 2107.43   7\r\n -15  -2  -4 13810.1 1357.89   6\r\n -15   2   4 13443.7 2115.06   6\r\n  15   2  -4 13109.7 1194.57   5\r\n -15  -2  -3 10000.4 2242.96   3\r\n  15  -2   3 11886.3 1825.62   4\r\n -15   2   3 8822.16 1210.34   4\r\n  15  -2   3 8452.57 1171.38   7\r\n  15   2  -3 9795.83 1622.08   7\r\n -15   2   3 9591.37 1596.40   2\r\n -15  -2  -3 8467.53 1274.01   6\r\n  15  -2   3 8587.11 1311.50   2\r\n -15   2   3 8029.36 1584.28   6\r\n  15   2  -3 9038.27 846.205   5\r\n -15   2   2 16448.2 1657.16   4\r\n  15  -2   2 18020.3 2119.07   4\r\n  15  -2   2 15976.9 1282.00   7\r\n -15   2   2 16810.2 2025.73   2\r\n -15  -2  -2 15913.5 1444.31   2\r\n  15   2  -2 14531.6 2079.39   4\r\n  15   2  -2 14496.8 1804.40   7\r\n  15  -2   2 17356.1 1876.75   2\r\n -15   2   2 14247.8 2045.78   6\r\n  15   2  -2 15184.2 973.394   5\r\n -15   2   1-136.517 913.694   2\r\n -15   2   1-86.1550 565.027   4\r\n  15  -2   1 726.672 681.968   4\r\n -15   2   1 241.178 766.619   6\r\n  15   2  -1 205.770 892.772   4\r\n  15  -2   1 555.821 649.166   2\r\n -15  -2  -1 335.882 527.976   2\r\n -15  -2   0 9374.49 1422.13   2\r\n  15  -2   0 11382.8 1471.73   4\r\n  15   2   0 11796.7 1722.76   4\r\n  15  -2   0 11509.7 976.700   7\r\n -15   2   0 9890.13 1437.47   4\r\n  15   2   0 11741.1 1624.95   2\r\n -15   2   0 14199.5 1935.78   6\r\n  15   2   0 10791.0 1207.70   5\r\n  15   2   1 302.029 580.756   5\r\n -15  -2   1 686.827 689.676   2\r\n  15  -2  -1 161.170 389.129   7\r\n  15   2   1 276.893 587.766   2\r\n  15  -2  -1 8.95117 582.392   4\r\n  15   2   1-116.773 889.787   4\r\n -15   2  -1-464.528 881.288   6\r\n -15   2  -2 18594.5 2577.81   3\r\n  15   2   2 16220.9 2030.24   4\r\n  15  -2  -2 16294.4 1642.57   4\r\n  15  -2  -2 15360.8 1639.30   7\r\n -15  -2   2 15822.4 2108.63   2\r\n -15   2  -2 15999.6 2080.86   6\r\n  15   2   2 16895.2 1635.06   2\r\n  15   2   2 16539.2 1888.49   5\r\n -15  -2   3 9112.29 1828.13   2\r\n -15   2  -3 7538.23 1837.88   3\r\n  15  -2  -3 9416.93 1422.31   5\r\n  15  -2  -3 8152.54 1458.95   7\r\n  15   2   3 9588.72 1588.81   4\r\n -15   2  -3 10244.1 1625.23   6\r\n  15  -2  -3 9557.18 1319.90   4\r\n -15  -2   4 12624.6 2145.84   2\r\n -15   2  -4 15116.6 2963.01   3\r\n  15  -2  -4 13154.7 1986.48   7\r\n -15   2  -4 13578.4 1921.25   6\r\n  15   2   4 14874.2 2183.30   4\r\n  15  -2  -4 15298.9 1943.26   5\r\n -15  -2   5 3130.82 1072.28   2\r\n  15  -2  -5 501.756 740.110   5\r\n -15   2  -5 2853.69 1845.93   3\r\n  15  -2  -5 4044.21 1333.06   7\r\n  15   2   5 3552.23 1325.28   4\r\n -15  -2   6 778.453 716.435   2\r\n  15  -2  -6 2345.15 976.452   5\r\n  15  -2  -6-404.894 934.396   7\r\n  15   2   6 546.901 1278.58   4\r\n -15  -3  -5 993.132 1549.35   3\r\n  15   3  -5 990.023 1112.28   7\r\n  15  -3   5 3457.75 1696.09   4\r\n -15   3   5 1909.95 868.376   6\r\n -15  -3  -4 31.1271 1469.58   3\r\n  15   3  -4 27.0757 914.398   7\r\n  15  -3   4-945.590 870.431   4\r\n -15   3   4 1507.39 777.568   6\r\n -15  -3  -3 1956.87 1282.51   3\r\n  15  -3   3 491.169 461.319   7\r\n -15   3   3 5.45165 498.946   4\r\n  15   3  -3 1871.06 910.440   7\r\n  15  -3   3 786.373 887.758   4\r\n -15   3   3 902.267 616.133   7\r\n -15  -3  -3 829.200 302.574   2\r\n -15   3   3 608.006 707.181   6\r\n -15  -3  -3 1139.02 518.950   6\r\n  15  -3   2 4464.94 589.377   7\r\n -15   3   2 4372.14 947.401   4\r\n  15   3  -2 4810.63 1277.10   7\r\n  15  -3   2 4624.13 1202.17   4\r\n -15   3   2 4584.75 1318.72   6\r\n -15  -3  -2 4821.17 898.917   2\r\n  15   3  -2 3924.34 1335.09   4\r\n -15   3   1 18747.4 1855.64   4\r\n  15  -3   1 19528.3 2072.17   4\r\n  15  -3   1 18984.3 797.830   7\r\n  15   3  -1 16688.0 2319.69   4\r\n  15  -3   1 19433.7 748.425   7\r\n -15  -3  -1 20296.5 1870.05   2\r\n -15   3   1 19139.1 2423.10   6\r\n  15   3  -1 19795.0 1115.13   5\r\n -15  -3   0 8018.54 1352.62   2\r\n  15  -3   0 8926.90 660.241   7\r\n -15   3   0 9108.50 1440.76   4\r\n  15  -3   0 7639.23 1249.81   4\r\n -15   3   0 8641.86 1613.43   6\r\n  15   3   0 9865.62 1597.35   4\r\n  15   3   0 9207.00 1088.62   5\r\n  15  -3  -1 19205.0 1757.92   4\r\n  15   3   1 17767.4 2108.13   4\r\n  15  -3  -1 18377.4 1320.27   7\r\n -15  -3   1 20173.8 2276.32   2\r\n -15   3  -1 19915.4 2378.06   6\r\n  15   3   1 18506.1 1764.34   5\r\n  15   3   2 4727.59 1193.04   5\r\n -15   3  -2 4238.21 1258.20   3\r\n -15  -3   2 3279.56 1220.96   2\r\n  15  -3  -2 4201.30 841.917   7\r\n -15   3  -2 3573.46 1193.66   6\r\n  15   3   2 2717.26 1086.50   4\r\n  15  -3  -2 4488.25 840.664   4\r\n -15   3  -3 1469.72 1390.53   3\r\n  15  -3  -3 1026.65 650.060   5\r\n -15  -3   3 289.678 989.184   2\r\n  15  -3  -3-67.7814 776.807   7\r\n -15   3  -3 1983.89 992.296   6\r\n  15   3   3 634.846 702.836   4\r\n  15  -3  -3 893.374 521.484   4\r\n  15  -3  -4-223.709 631.592   5\r\n -15  -3   4 1023.94 882.320   2\r\n -15   3  -4 2284.93 1325.39   3\r\n  15  -3  -4 55.0873 727.020   7\r\n -15   3  -4-529.794 737.068   6\r\n  15   3   4 1035.56 874.893   4\r\n  15  -3  -5 267.984 742.627   5\r\n -15  -3   5 2798.93 1256.53   2\r\n  15  -3  -5 3002.38 1055.26   7\r\n  15   3   5 2607.59 1164.17   4\r\n -15  -4  -5 2456.91 1982.22   3\r\n  15   4  -5 3362.58 1560.66   7\r\n  15  -4   5 763.410 1398.89   4\r\n -15   4   5 3096.78 1053.81   6\r\n -15  -4  -4 2685.53 1559.25   3\r\n  15   4  -4 1370.76 1045.72   7\r\n  15  -4   4 3084.21 1364.05   4\r\n -15   4   4 2450.95 1079.35   6\r\n -15  -4  -3 2052.06 1203.66   3\r\n  15  -4   3 1750.92 974.837   4\r\n  15   4  -3 2654.63 1047.23   7\r\n -15   4   3 2680.10 1051.54   6\r\n -15  -4  -3 1856.75 525.047   2\r\n -15   4   2 15727.6 1609.08   4\r\n  15  -4   2 16253.4 2138.05   4\r\n -15  -4  -2 15451.3 1625.81   2\r\n  15   4  -2 14930.1 2162.95   7\r\n -15   4   2 14702.3 2255.24   6\r\n -15   4   1 12207.5 1600.78   4\r\n -15  -4  -1 14615.7 1751.73   2\r\n  15  -4   1 11256.1 1676.77   4\r\n -15   4   1 12230.6 1966.67   6\r\n  15   4  -1 11461.3 2139.17   4\r\n  15  -4   0 21028.7 2023.46   4\r\n  15   4   0 19215.1 2478.50   4\r\n -15  -4   0 21361.8 2315.23   2\r\n -15   4   0 21860.5 2632.06   6\r\n  15   4   0 18884.5 1381.14   5\r\n -15   4  -1 10747.0 1951.20   3\r\n  15  -4  -1 12210.2 1469.96   4\r\n -15  -4   1 15249.3 2072.09   2\r\n -15   4  -1 11871.2 2069.50   6\r\n  15   4   1 13342.1 2042.51   4\r\n  15   4   1 12520.0 1394.31   5\r\n -15   4  -2 18331.1 2650.30   3\r\n  15  -4  -2 16162.0 1421.24   7\r\n  15  -4  -2 16410.9 1478.29   4\r\n  15   4   2 15850.9 2135.07   4\r\n -15  -4   2 17554.3 2352.30   2\r\n -15   4  -2 14902.9 2261.94   6\r\n  15  -4  -3 2379.37 998.254   5\r\n -15   4  -3 2094.13 1321.76   3\r\n -15  -4   3 2019.64 1023.75   2\r\n  15  -4  -3 2056.95 672.978   7\r\n -15   4  -3 786.188 608.425   6\r\n  15   4   3 1212.13 932.144   4\r\n  15  -4  -3 2381.06 584.310   4\r\n  15  -4  -4 2916.29 1337.92   5\r\n -15  -4   4 3057.64 1500.23   2\r\n -15   4  -4 3373.35 1656.89   3\r\n  15  -4  -4 2056.03 946.834   7\r\n -15   4  -4 2465.30 1272.83   6\r\n  15   4   4 3536.79 1335.75   4\r\n  15  -4  -5 1620.86 1305.64   5\r\n -15  -4   5 1679.24 1193.85   2\r\n -15   4  -5 1486.38 1390.99   3\r\n  15   4   5 2746.81 1456.40   4\r\n -15  -5  -4 259.825 1723.26   3\r\n  15  -5   4 3434.82 1210.87   4\r\n  15   5  -4 3047.93 1181.60   7\r\n -15   5   4 733.963 1097.90   6\r\n -15  -5  -3 3681.01 1768.07   3\r\n  15  -5   3 3589.18 1423.66   4\r\n  15   5  -3 2288.41 1131.36   7\r\n -15   5   3 1389.83 1160.73   6\r\n -15  -5  -2 5595.37 1092.89   2\r\n  15  -5   2 7088.41 1659.06   4\r\n  15   5  -2 6817.30 1603.22   7\r\n -15   5   2 5183.86 1418.14   6\r\n -15  -5  -1 3247.46 1026.88   2\r\n  15  -5   1 4332.99 1164.25   4\r\n -15   5   1 2438.56 1174.85   6\r\n -15  -5   0 4201.96 1224.12   2\r\n  15  -5   0 5030.02 1136.70   4\r\n -15   5   0 4568.42 1487.99   6\r\n  15   5   0 5278.50 1464.86   4\r\n -15   5   0 4513.97 1411.47   3\r\n -15   5  -1 1628.38 1064.12   3\r\n  15   5   1 3114.12 818.702   5\r\n -15  -5   1 2893.54 1244.20   2\r\n  15  -5  -1 3011.71 745.673   4\r\n -15   5  -1 2819.27 1217.13   6\r\n  15   5   1 2883.47 1299.64   4\r\n -15   5  -2 7009.50 1823.08   3\r\n  15  -5  -2 8264.89 1048.88   4\r\n -15  -5   2 7970.82 1866.84   2\r\n -15   5  -2 11227.9 1928.92   6\r\n  15   5   2 4810.49 1478.02   4\r\n  15  -5  -3 1202.31 1000.23   5\r\n -15   5  -3 3545.32 1578.98   3\r\n -15  -5   3 2383.01 1048.54   2\r\n -15   5  -3 2623.69 1065.14   6\r\n  15   5   3 2493.85 1174.13   4\r\n  15  -5  -4 692.461 882.455   5\r\n -15   5  -4 199.841 885.932   3\r\n -15  -5   4 1430.28 1151.07   2\r\n -15   5  -4 202.150 1089.15   6\r\n  15   5   4 463.047 991.457   4\r\n  15  -6   4 241.936 1122.07   4\r\n  15   6  -4 951.282 966.192   7\r\n -15   6   4 1921.45 1188.40   6\r\n -15  -6  -3 4239.08 1554.58   3\r\n  15  -6   3 4727.86 1442.94   4\r\n  15   6  -3 2194.67 1323.40   7\r\n -15   6   3 2888.74 1337.73   6\r\n -15  -6  -2 1099.35 846.303   2\r\n  15  -6   2 781.243 1018.46   4\r\n  15   6  -2 1162.63 1000.27   7\r\n -15   6   2 1944.17 1037.77   6\r\n -15  -6  -2 2344.67 1250.81   3\r\n -15  -6  -1-928.989 804.859   2\r\n  15  -6   1 787.580 930.233   4\r\n -15   6   1-1641.24 1130.80   6\r\n -15   6   0 115.244 811.009   3\r\n -15  -6   0 570.758 762.059   2\r\n  15  -6   0-165.577 638.438   4\r\n -15   6   0-835.377 1091.24   6\r\n -15   6  -1 670.227 1050.33   3\r\n -15  -6   1 1083.88 1110.62   2\r\n  15  -6  -1 763.827 520.920   4\r\n -15   6  -1-2097.20 1012.02   6\r\n  15   6   1 4.92237 1225.62   4\r\n -15   6  -2-2301.22 1482.34   3\r\n -15  -6   2 997.856 1248.37   2\r\n -15   6  -2 131.778 1306.16   6\r\n  15   6   2 840.839 1008.08   4\r\n  15  -6  -3 2790.78 1193.15   5\r\n -15   6  -3 6664.32 2137.74   3\r\n -15  -6   3 2051.64 1323.93   2\r\n -15   6  -3 5226.73 1614.18   6\r\n  15   6   3 4799.25 1532.61   4\r\n  15  -6  -4 2348.56 1292.74   5\r\n -15  -6   4 2478.25 1073.53   2\r\n  15   6   4 2370.05 1368.69   4\r\n  15  -7   3 1137.39 790.682   4\r\n  15   7  -3-1888.15 1513.86   7\r\n -15   7   3-1802.45 1190.55   6\r\n  15  -7   2 452.878 972.039   4\r\n  15   7  -2-1204.55 1215.89   7\r\n -15   7   2 450.972 1073.95   6\r\n -15  -7  -1 2086.20 1010.77   2\r\n  15  -7   1 980.780 841.976   4\r\n -15  -7   0 1209.20 1304.62   2\r\n  15  -7   0 2085.89 967.916   4\r\n -15   7   0 3310.31 1455.59   6\r\n -15   7  -1 605.843 499.875   3\r\n -15  -7   1 1539.91 1064.61   2\r\n -15   7  -1 2753.89 1483.53   6\r\n  15  -7  -2 536.189 862.820   5\r\n -15   7  -2-1958.62 1555.75   3\r\n -15  -7   2 2350.62 1379.54   2\r\n -15   7  -2 1232.93 1182.69   6\r\n  15   7   2 2069.31 860.554   4\r\n  15  -7  -3-268.160 1349.63   5\r\n -15  -7   3 1652.85 991.356   2\r\n  15   7   3 2318.80 1142.85   4\r\n -15  -8   0 574.409 1180.84   2\r\n -15   8   0-618.253 594.286   6\r\n  15   8   0 1384.71 616.508   1\r\n  16   0   0 62973.1 3492.48   4\r\n -16   0   0 63198.9 3357.00   2\r\n  16   0   0 61094.3 3573.63   2\r\n  16   0   1 21026.1 2115.99   4\r\n -16   0  -1 21776.6 1942.33   2\r\n  16   0  -1 22355.4 2117.04   4\r\n  16   0  -1 21622.0 1859.46   7\r\n -16   0   1 18914.4 2064.89   2\r\n  16   0   1 20372.3 2013.36   2\r\n -16   0  -1 19877.0 2220.18   6\r\n  16   0   2 1723.25 722.443   2\r\n  16   0  -2 1740.88 790.624   7\r\n  16   0   2 1182.16 792.593   4\r\n -16   0  -2 2367.66 883.100   6\r\n  16   0  -2 1640.06 763.609   4\r\n -16   0   2 1879.21 970.444   2\r\n -16   0  -3 2547.20 1274.71   3\r\n  16   0  -3 1360.35 630.601   5\r\n  16   0   3 1839.82 652.471   2\r\n  16   0  -3 837.391 725.211   7\r\n  16   0   3 1481.88 1037.90   4\r\n -16   0  -3 2711.51 882.429   6\r\n -16   0   3 2211.71 1018.11   2\r\n  16   0  -3 2606.74 1084.82   4\r\n  16   0  -4 5645.96 1106.29   5\r\n -16   0  -4 3844.83 1826.88   3\r\n  16   0  -4 5242.96 1386.77   7\r\n  16   0   4 3550.73 1405.03   4\r\n -16   0  -4 4410.42 1020.47   6\r\n -16   0   4 3988.64 1278.13   2\r\n  16   0  -5 255.587 461.302   5\r\n -16   0  -5-2399.49 1514.19   3\r\n  16   0  -5-1333.01 1245.95   7\r\n  16   0   5 193.665 707.818   4\r\n -16   0   5 1833.42 749.975   2\r\n -16   0  -6-2552.33 2101.15   3\r\n  16   0  -6 1066.62 840.202   7\r\n  16   0   6-572.058 1383.37   4\r\n -16   0   6 1274.71 900.018   2\r\n -16  -1  -6-2862.45 2155.84   3\r\n  16   1  -6 3177.13 1761.82   7\r\n  16  -1   6 1083.23 1153.12   4\r\n -16   1   6-515.988 558.590   2\r\n -16  -1  -5 286.211 1680.51   3\r\n  16   1  -5-1377.13 1036.93   7\r\n  16  -1   5 2818.34 1296.54   4\r\n -16   1   5 796.001 833.999   2\r\n -16  -1  -4 10546.9 2523.69   3\r\n  16  -1   4 16136.3 2245.19   4\r\n -16   1   4 12886.0 1683.93   4\r\n  16   1  -4 15453.0 2229.36   7\r\n -16   1   4 15088.6 2227.12   2\r\n -16  -1  -4 14645.3 1623.94   6\r\n  16   1  -4 13017.5 1533.59   5\r\n -16  -1  -3 22625.4 3245.02   3\r\n  16  -1   3 23190.5 2583.18   4\r\n -16   1   3 21276.8 1980.44   4\r\n  16  -1   3 18361.7 1716.15   7\r\n  16   1  -3 20934.7 2369.16   7\r\n -16   1   3 22921.3 2498.81   2\r\n  16   1  -3 22908.0 1912.23   1\r\n  16  -1   3 22476.1 2000.16   2\r\n -16  -1  -3 21313.0 2036.67   6\r\n  16   1  -3 22427.1 1645.18   5\r\n -16   1   2 9057.24 1314.20   4\r\n -16  -1  -2 9004.15 1186.95   2\r\n  16  -1   2 12018.3 1618.76   2\r\n  16   1  -2 10403.8 1511.06   7\r\n  16  -1   2 9023.25 1513.12   4\r\n -16   1   2 8953.58 1560.16   2\r\n -16  -1  -2 8427.18 1366.30   6\r\n  16   1  -2 9342.52 1638.14   4\r\n -16   1   1 13835.4 1618.72   4\r\n  16  -1   1 12676.6 1717.09   4\r\n -16   1   1 10630.2 1581.37   2\r\n -16  -1  -1 11498.1 1461.74   2\r\n  16   1  -1 11684.5 1589.43   7\r\n  16  -1   1 11592.2 1587.97   2\r\n  16   1  -1 10027.7 1620.45   4\r\n  16   1   0 606.293 659.143   2\r\n  16  -1   0 6.50120 561.440   7\r\n -16   1   0 836.796 751.571   2\r\n  16  -1   0 1279.10 774.749   4\r\n  16   1   0 44.2381 865.654   4\r\n -16   1   0 412.033 749.153   6\r\n -16  -1   0 21.7773 644.867   2\r\n  16   1   1 13029.7 1790.59   4\r\n  16  -1  -1 12079.5 1573.39   4\r\n  16  -1  -1 10585.9 1224.16   7\r\n -16  -1   1 12673.2 1747.29   2\r\n  16   1   1 12756.6 1598.93   2\r\n -16   1  -1 11049.7 1716.92   6\r\n  16   1   1 11560.7 1357.57   5\r\n -16  -1   2 9729.23 1768.53   2\r\n  16  -1  -2 10113.5 1446.95   4\r\n  16  -1  -2 7948.29 1317.96   7\r\n  16   1   2 9280.42 1318.34   2\r\n -16   1  -2 11399.5 1631.85   6\r\n  16   1   2 7483.95 1436.23   4\r\n -16   1  -2 11647.6 2064.89   3\r\n -16   1  -3 20626.8 3071.29   3\r\n  16   1   3 24267.1 2529.18   4\r\n  16  -1  -3 21746.3 2262.82   7\r\n  16  -1  -3 26718.9 2428.56   4\r\n -16  -1   3 19578.6 2424.16   2\r\n  16   1   3 23798.9 1779.73   2\r\n -16   1  -3 20484.5 2236.36   6\r\n  16  -1  -3 23820.8 2072.96   5\r\n -16  -1   4 14479.5 2269.57   2\r\n -16   1  -4 16343.1 3020.51   3\r\n  16   1   4 16406.9 2304.16   4\r\n  16  -1  -4 15772.8 2256.44   7\r\n -16   1  -4 14279.9 1904.94   6\r\n  16  -1  -4 12797.5 1707.58   5\r\n -16  -1   5 378.972 722.816   2\r\n  16  -1  -5 261.429 884.682   5\r\n -16   1  -5 1513.01 948.717   3\r\n  16  -1  -5 167.564 1174.91   7\r\n  16   1   5 2045.82 976.678   4\r\n -16   1  -5 338.383 425.998   6\r\n  16  -1  -6 544.222 935.567   5\r\n -16   1  -6 1077.90 2093.42   3\r\n  16  -1  -6 311.537 1184.43   7\r\n  16   1   6 1148.06 1342.03   4\r\n -16  -1   6-1831.91 827.471   2\r\n -16  -2  -5 222.453 1292.68   3\r\n  16   2  -5-1494.63 1341.13   7\r\n  16  -2   5 213.035 1130.19   4\r\n -16   2   5 429.096 758.512   2\r\n -16   2   5-168.770 833.590   6\r\n -16  -2  -4 429.285 1250.69   3\r\n  16   2  -4 392.645 877.314   7\r\n  16  -2   4-8.89014 1076.07   4\r\n -16  -2  -4 707.563 468.643   6\r\n -16   2   4-724.644 716.939   2\r\n -16   2   4 80.4375 320.028   6\r\n -16  -2  -3 3723.53 1641.77   3\r\n  16   2  -3 3978.25 684.374   5\r\n  16  -2   3 5638.22 949.254   7\r\n  16   2  -3 3628.76 1159.50   7\r\n -16   2   3 2959.06 767.420   4\r\n  16  -2   3 4291.11 1405.13   4\r\n -16   2   3 3854.53 1303.64   2\r\n -16  -2  -3 4539.68 1076.58   6\r\n -16   2   3 3502.51 1337.13   6\r\n  16  -2   3 3367.82 1099.24   2\r\n -16   2   2 28231.1 2209.91   4\r\n  16  -2   2 28745.7 2688.22   4\r\n -16   2   2 25916.7 2527.31   2\r\n -16  -2  -2 30007.6 2036.99   2\r\n  16   2  -2 27197.6 2832.01   4\r\n  16   2  -2 32218.6 2647.14   7\r\n -16   2   2 25423.1 2787.86   6\r\n  16   2  -2 27598.0 1399.40   5\r\n -16   2   1 57021.0 3213.19   4\r\n  16  -2   1 60864.4 3542.46   4\r\n -16   2   1 59433.0 3532.23   2\r\n  16   2  -1 62372.4 3856.62   4\r\n  16   2  -1 55707.7 3412.26   7\r\n -16  -2  -1 62271.9 3209.90   2\r\n -16   2   1 53933.9 3808.37   6\r\n  16  -2   0 18699.3 1916.35   4\r\n  16   2   0 19009.5 2154.93   4\r\n  16  -2   0 22315.6 1389.77   7\r\n -16  -2   0 19583.3 2041.97   2\r\n -16   2   0 21407.3 2474.11   6\r\n  16   2   0 17120.5 1531.85   5\r\n  16  -2  -1 61521.9 3207.66   4\r\n  16   2   1 60546.0 3633.50   4\r\n  16  -2  -1 62166.3 2667.35   7\r\n -16  -2   1 60186.8 3657.19   2\r\n  16   2   1 64325.1 3499.68   2\r\n -16   2  -1 59525.3 3858.52   6\r\n  16   2   1 62600.5 3191.07   5\r\n -16   2  -2 30836.6 3325.35   3\r\n  16   2   2 28370.1 2681.77   4\r\n  16  -2  -2 27074.0 2153.70   4\r\n  16  -2  -2 24527.7 2054.75   7\r\n -16  -2   2 28383.1 2751.57   2\r\n -16   2  -2 27174.6 2708.69   6\r\n  16   2   2 26003.6 2115.03   2\r\n -16  -2   3 5871.90 1522.40   2\r\n -16   2  -3 3377.32 1363.75   3\r\n  16  -2  -3 4642.69 1049.66   5\r\n  16  -2  -3 3308.87 1043.27   7\r\n  16   2   3 3670.00 1262.30   4\r\n -16   2  -3 5096.36 1226.68   6\r\n  16  -2  -3 3183.44 945.997   4\r\n -16  -2   4-1814.25 1147.82   2\r\n  16  -2  -4-1686.23 887.908   5\r\n -16   2  -4-105.021 1331.44   3\r\n  16  -2  -4 743.560 741.793   7\r\n  16   2   4 983.344 1061.00   4\r\n -16   2  -4-281.462 681.879   6\r\n -16  -2   5 1725.80 1244.19   2\r\n  16  -2  -5 512.988 944.951   5\r\n -16   2  -5-2390.54 1716.86   3\r\n  16  -2  -5 362.209 1131.64   7\r\n -16   2  -5 44.6484 613.158   6\r\n  16   2   5-172.816 1134.33   4\r\n -16  -3  -5 4404.09 2160.89   3\r\n  16   3  -5 6615.04 1712.08   7\r\n  16  -3   5 7756.47 1973.88   4\r\n -16   3   5 6112.59 1760.12   6\r\n -16  -3  -4 3989.79 1879.55   3\r\n  16   3  -4 3032.92 1209.43   7\r\n  16  -3   4 3813.90 1297.42   4\r\n -16   3   4 2997.11 1090.78   6\r\n -16  -3  -3 1334.34 1190.95   3\r\n -16   3   3 3013.63 646.232   4\r\n  16   3  -3 2965.31 1165.56   7\r\n  16  -3   3 2938.21 1099.91   4\r\n -16  -3  -3 1537.44 482.604   2\r\n -16   3   3 1791.79 918.233   6\r\n -16  -3  -3 859.994 611.964   6\r\n -16   3   2 21529.5 2002.03   4\r\n  16  -3   2 26100.4 2664.87   4\r\n  16  -3   2 24147.3 1321.46   7\r\n  16   3  -2 25822.6 2602.76   7\r\n  16   3  -2 28790.2 3059.39   4\r\n -16  -3  -2 24989.0 1967.19   2\r\n -16   3   2 23249.2 2736.15   6\r\n -16  -3  -1 8480.06 1345.61   2\r\n  16  -3   1 7740.14 576.732   7\r\n  16  -3   1 8545.67 572.639   7\r\n -16   3   1 9454.71 1367.94   4\r\n  16  -3   1 8184.86 1505.76   4\r\n -16   3   1 7102.05 1712.14   6\r\n  16   3  -1 8849.48 829.976   5\r\n  16   3  -1 8159.00 1636.09   4\r\n  16   3   0 2686.87 635.287   5\r\n -16  -3   0 2761.14 956.729   2\r\n  16  -3   0 2763.67 455.964   7\r\n  16  -3   0 2304.26 830.428   4\r\n -16   3   0 2850.30 1163.67   6\r\n  16   3   0 2430.81 1082.33   4\r\n  16   3   1 7917.12 1271.52   5\r\n -16  -3   1 8538.94 1579.91   2\r\n  16  -3  -1 8079.88 943.437   7\r\n  16  -3  -1 8112.33 1243.97   4\r\n -16   3  -1 9801.91 1800.35   6\r\n  16   3   1 8515.42 1600.03   4\r\n -16   3  -2 23365.1 3106.31   3\r\n  16   3   2 26430.5 2661.61   4\r\n  16  -3  -2 26042.9 2013.35   4\r\n  16  -3  -2 24189.9 1977.98   7\r\n -16  -3   2 24917.7 2748.53   2\r\n -16   3  -2 24500.8 2733.80   6\r\n -16   3  -3 1645.51 1101.24   3\r\n -16  -3   3 1458.16 982.169   2\r\n  16  -3  -3 1350.45 834.683   5\r\n  16  -3  -3 2027.17 824.550   7\r\n -16   3  -3 1051.67 714.510   6\r\n  16   3   3 1326.89 948.879   4\r\n  16  -3  -3 2199.49 750.802   4\r\n  16  -3  -4 2963.49 1159.24   5\r\n -16  -3   4 2090.68 1157.01   2\r\n -16   3  -4 1010.28 1201.93   3\r\n  16  -3  -4 2453.75 986.437   7\r\n -16   3  -4 1988.24 913.455   6\r\n  16   3   4 1995.63 1005.74   4\r\n  16  -3  -5 6054.66 1634.09   5\r\n -16  -3   5 5189.64 1753.59   2\r\n -16   3  -5 5863.13 2238.77   3\r\n  16  -3  -5 6657.21 1623.71   7\r\n  16   3   5 3334.70 1397.24   4\r\n -16  -4  -5-5321.99 2421.77   3\r\n  16   4  -5-3417.71 1650.96   7\r\n  16  -4   5 1003.14 968.984   4\r\n -16   4   5 499.713 895.407   6\r\n -16  -4  -4 1986.14 1785.35   3\r\n  16   4  -4 4966.57 1251.67   7\r\n  16  -4   4 2406.62 1356.72   4\r\n -16   4   4 341.833 665.025   6\r\n -16  -4  -3 1963.35 1265.46   3\r\n  16   4  -3-779.899 824.743   7\r\n  16  -4   3 528.398 866.351   4\r\n -16   4   3 1301.45 953.897   6\r\n -16  -4  -3 827.356 515.833   2\r\n -16  -4  -2 6051.75 1073.64   2\r\n -16  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3\r\n -16  -4   3 1092.77 934.348   2\r\n  16  -4  -3 171.788 522.006   7\r\n -16   4  -3-464.660 614.922   6\r\n  16   4   3-82.1467 1058.89   4\r\n  16  -4  -3 757.840 504.639   4\r\n  16  -4  -4 1532.84 754.243   5\r\n -16  -4   4 931.708 844.259   2\r\n -16   4  -4 810.907 1330.68   3\r\n  16  -4  -4 1954.68 873.356   7\r\n -16   4  -4 1692.98 1129.59   6\r\n  16   4   4 2078.56 942.060   4\r\n  16  -4  -5 1707.14 1125.44   5\r\n -16  -4   5 1896.61 979.921   2\r\n  16  -4  -5 1860.08 987.740   7\r\n  16   4   5 1935.91 1240.83   4\r\n -16  -5  -4 6481.52 2057.90   3\r\n  16  -5   4 5179.22 1587.49   4\r\n  16   5  -4 7041.36 1711.82   7\r\n -16   5   4 6816.51 1862.15   6\r\n -16  -5  -3 5963.67 1931.45   3\r\n  16  -5   3 5052.38 1623.43   4\r\n  16   5  -3 3302.50 1384.99   7\r\n -16   5   3 5582.86 1634.14   6\r\n -16  -5  -2-868.550 640.225   2\r\n  16  -5   2-553.423 653.115   4\r\n  16   5  -2-186.387 951.714   7\r\n -16   5   2-237.681 772.029   6\r\n -16  -5  -1 5736.37 1312.17   2\r\n  16  -5   1 5658.23 1337.05   4\r\n -16   5   1 5297.59 1588.04   6\r\n  16   5  -1 5629.96 1589.46   4\r\n -16  -5   0 98.4368 656.254   2\r\n  16  -5   0-112.215 732.129   4\r\n -16   5   0-96.0220 558.482   6\r\n  16   5   0-567.479 875.181   4\r\n -16   5  -1 5818.06 1574.94   3\r\n -16  -5   1 4929.66 1522.18   2\r\n  16  -5  -1 7210.65 1160.30   4\r\n -16   5  -1 5702.45 1579.89   6\r\n  16   5   1 6584.48 1669.37   4\r\n -16   5  -2-468.128 1429.45   3\r\n -16  -5   2 164.001 1039.34   2\r\n -16   5  -2-858.562 1060.14   6\r\n  16  -5  -2 373.870 412.676   4\r\n  16   5   2 454.381 800.951   4\r\n  16  -5  -3 3228.40 1284.34   5\r\n -16   5  -3 6733.52 1995.35   3\r\n -16  -5   3 5416.70 1744.35   2\r\n -16   5  -3 5126.26 1643.26   6\r\n  16   5   3 1741.99 1294.01   4\r\n  16  -5  -4 5824.29 1601.26   5\r\n -16  -5   4 5413.77 1807.16   2\r\n -16   5  -4 6388.29 2237.60   3\r\n -16   5  -4 4170.08 1550.32   6\r\n  16   5   4 5856.17 1560.86   4\r\n -16  -6  -3 2221.54 1497.07   3\r\n  16  -6   3 1686.64 1256.93   4\r\n  16   6  -3 1866.45 1358.29   7\r\n -16   6   3 2036.90 1466.77   6\r\n -16  -6  -2 1898.03 647.572   2\r\n  16  -6   2 749.915 802.370   4\r\n  16   6  -2 378.493 1172.75   7\r\n -16   6   2 3035.47 1159.70   6\r\n -16  -6  -2 2457.39 1465.86   3\r\n -16  -6  -1 1496.88 959.193   2\r\n  16  -6   1 554.345 821.189   4\r\n -16   6   1 967.647 893.124   6\r\n -16   6   0 817.322 826.630   3\r\n -16  -6   0 2350.18 1045.65   2\r\n  16  -6   0 3009.77 923.304   4\r\n -16   6   0 1411.93 1197.05   6\r\n  16   6   0 3582.09 1578.02   4\r\n -16   6  -1-498.825 675.689   3\r\n -16  -6   1 1282.12 878.369   2\r\n  16  -6  -1 796.365 485.465   4\r\n -16   6  -1 1806.30 1074.12   6\r\n  16   6   1 263.078 895.516   4\r\n -16   6  -2 479.875 1173.84   3\r\n -16  -6   2 1720.86 1146.24   2\r\n -16   6  -2 2458.05 1422.41   6\r\n  16   6   2 2483.00 1280.76   4\r\n  16  -6  -3 2027.97 1403.05   5\r\n -16   6  -3 3141.46 1813.35   3\r\n -16  -6   3 3305.95 1514.98   2\r\n -16   6  -3 2851.92 1360.93   6\r\n  16   6   3 2548.66 1398.40   4\r\n  16  -7   2 671.639 977.864   4\r\n  16   7  -2-205.452 1086.01   7\r\n -16   7   2 768.203 905.168   6\r\n -16  -7  -1 1717.44 874.656   2\r\n  16  -7   1-950.017 879.517   4\r\n -16   7   1-565.517 839.639   6\r\n -16  -7   0 312.536 1132.57   2\r\n  16  -7   0 326.781 675.555   4\r\n -16   7   0 406.288 568.339   6\r\n -16  -7   1 2171.00 1202.36   2\r\n -16   7  -1 1939.24 1334.17   6\r\n  16  -7  -2 4262.55 1379.06   5\r\n -16   7  -2-1566.20 1253.93   3\r\n -16  -7   2 2020.44 1056.44   2\r\n -16   7  -2-614.481 714.267   6\r\n  16   7   2-2250.56 1699.48   4\r\n  17   0   0-2.99408 886.575   4\r\n -17   0   0 16.6612 1069.04   2\r\n  17   0   1 2252.98 847.306   2\r\n  17   0  -1 4275.07 1005.79   7\r\n  17   0   1 3857.87 1114.12   4\r\n -17   0  -1 3082.69 920.792   2\r\n  17   0  -1 3981.18 1076.61   4\r\n -17   0  -1 3740.74 1155.81   6\r\n -17   0   1 4214.16 1166.47   2\r\n  17   0   2 8649.82 1368.33   2\r\n  17   0  -2 10863.4 1491.41   7\r\n  17   0   2 10351.7 1663.73   4\r\n -17   0  -2 9486.04 1558.93   6\r\n  17   0  -2 9205.17 1545.90   4\r\n -17   0   2 10089.5 1727.72   2\r\n -17   0  -3 11.6895 1354.49   3\r\n  17   0  -3-52.6814 429.446   5\r\n  17   0   3-121.219 560.352   2\r\n  17   0  -3-723.231 624.732   7\r\n  17   0   3 120.208 918.704   4\r\n -17   0  -3 58.7979 722.560   6\r\n -17   0   3-198.009 619.886   2\r\n  17   0  -3 137.334 639.656   4\r\n  17   0  -4 1132.45 736.835   5\r\n -17   0  -4-1360.00 1177.66   3\r\n  17   0  -4-272.740 828.004   7\r\n  17   0   4-636.111 1214.77   4\r\n -17   0  -4 1196.37 537.409   6\r\n -17   0   4 779.248 920.489   2\r\n  17   0  -5 1755.52 597.969   5\r\n -17   0  -5 544.030 1477.16   3\r\n  17   0  -5-1562.94 948.597   7\r\n  17   0   5 105.550 903.036   4\r\n -17   0   5-395.369 562.783   2\r\n -17  -1  -5 107.437 1328.02   3\r\n  17   1  -5-1567.16 1182.83   7\r\n  17  -1   5 95.2377 836.015   4\r\n -17   1   5 1518.11 847.262   2\r\n  17   1  -4 3540.39 889.729   5\r\n -17  -1  -4 4240.18 1804.65   3\r\n  17   1  -4 3459.75 1243.37   7\r\n  17  -1   4 4227.92 1409.46   4\r\n -17  -1  -4 2741.63 775.178   6\r\n -17   1   4 1855.62 1058.46   2\r\n  17  -1   3 3056.52 915.862   2\r\n -17  -1  -3 3222.83 1497.36   3\r\n  17   1  -3 1806.26 685.576   5\r\n  17   1  -3 3213.72 878.383   1\r\n  17  -1   3 3166.69 753.616   7\r\n  17   1  -3 1885.20 1130.24   7\r\n  17  -1   3 3015.16 1250.20   4\r\n -17  -1  -3 3358.35 965.318   6\r\n -17   1   3 2981.01 1142.90   2\r\n  17   1  -3 3563.24 1346.33   4\r\n  17  -1   2 5784.09 1250.16   2\r\n -17  -1  -2 6504.01 1070.28   2\r\n  17   1  -2 5171.13 1187.00   7\r\n  17  -1   2 6906.71 1383.93   4\r\n -17   1   2 6174.63 1381.59   2\r\n -17  -1  -2 5018.56 1200.79   6\r\n  17   1  -2 5412.79 1413.62   4\r\n -17  -1  -1 12914.6 1591.59   2\r\n  17   1  -1 11210.0 1621.91   7\r\n  17  -1   1 10591.6 1647.90   4\r\n -17   1   1 11842.8 1790.58   2\r\n  17   1  -1 10707.7 1690.17   4\r\n  17  -1   0 2677.72 791.031   7\r\n -17   1   0 2713.47 956.533   2\r\n  17  -1   0 4034.68 1107.57   4\r\n  17   1   0 4610.16 1206.49   4\r\n -17   1   0 2100.07 1117.69   6\r\n -17  -1   0 3886.71 1165.58   2\r\n  17   1   1 14233.5 1946.84   4\r\n  17  -1  -1 13721.6 1695.68   4\r\n  17  -1  -1 11305.8 1379.99   7\r\n -17  -1   1 12453.9 1779.21   2\r\n  17   1   1 14126.3 1821.89   2\r\n -17   1  -1 13550.9 2008.01   6\r\n  17   1   1 10720.4 1443.36   5\r\n -17  -1   2 4302.14 1367.33   2\r\n  17   1   2 4713.44 1076.12   2\r\n  17  -1  -2 5863.00 1190.30   7\r\n  17   1   2 5390.01 1329.75   4\r\n -17   1  -2 5937.20 1267.72   6\r\n  17  -1  -2 6652.58 1237.87   4\r\n -17   1  -2 3984.09 1426.80   3\r\n -17  -1   3 3645.74 1332.60   2\r\n -17   1  -3 4022.37 1561.06   3\r\n  17  -1  -3 2900.29 874.511   5\r\n  17   1   3 4962.83 998.874   2\r\n  17  -1  -3 3486.08 1202.67   7\r\n  17   1   3 3317.03 1248.51   4\r\n -17   1  -3 3961.98 1152.59   6\r\n  17  -1  -3 2843.60 933.491   4\r\n -17  -1   4 3855.79 1055.72   2\r\n  17  -1  -4 3168.86 969.856   5\r\n -17   1  -4 3073.88 1777.52   3\r\n  17  -1  -4 1424.84 851.595   7\r\n  17   1   4 3734.43 1393.36   4\r\n -17   1  -4 2904.80 857.132   6\r\n -17  -1   5 77.2473 870.856   2\r\n  17  -1  -5 250.080 772.060   5\r\n -17   1  -5-724.193 1874.37   3\r\n  17  -1  -5 925.853 973.319   7\r\n  17   1   5 575.522 1066.30   4\r\n -17  -2  -5 1058.25 1589.22   3\r\n  17   2  -5 1205.09 1234.07   7\r\n  17  -2   5 1055.63 1528.72   4\r\n -17   2   5 2919.84 1043.73   2\r\n -17   2   5 1175.77 980.207   6\r\n -17  -2  -4 3743.74 1843.68   3\r\n  17   2  -4 3834.80 1216.61   7\r\n  17  -2   4 4121.39 1516.12   4\r\n -17   2   4 3695.34 1126.44   2\r\n -17  -2  -4 3228.59 804.879   6\r\n -17   2   4 1056.95 1000.92   6\r\n -17  -2  -3 4144.18 1897.80   3\r\n  17  -2   3 4753.57 989.908   7\r\n  17   2  -3 7343.36 1556.65   7\r\n -17   2   3 5000.69 1031.15   4\r\n  17  -2   3 6130.30 1442.55   4\r\n -17   2   3 6782.02 1465.14   2\r\n -17  -2  -3 7428.29 1312.38   6\r\n -17   2   3 6157.21 1659.95   6\r\n  17   2  -3 6611.24 819.182   5\r\n  17   2  -2 2335.33 478.789   5\r\n -17   2   2 1183.15 672.053   4\r\n  17   2  -2 2027.51 1050.74   7\r\n  17  -2   2 2283.49 983.141   4\r\n -17   2   2 1647.71 1091.02   2\r\n -17  -2  -2 2276.24 761.196   2\r\n -17   2   2 2844.71 1099.70   6\r\n  17   2  -2 1337.69 921.044   4\r\n -17   2   1 3010.75 1087.91   2\r\n  17   2  -1 2034.47 1149.82   7\r\n  17  -2   1 1999.32 1008.50   4\r\n -17   2   1 2683.82 1302.88   6\r\n  17   2  -1 3783.38 1337.53   4\r\n -17  -2  -1 2858.99 1014.79   2\r\n  17  -2   0 30427.8 2461.13   4\r\n  17   2   0 29333.7 2769.19   4\r\n  17  -2   0 32610.9 1748.66   7\r\n -17  -2   0 32513.6 2681.86   2\r\n -17   2   0 30072.9 2980.66   6\r\n  17   2   0 29812.3 2045.15   5\r\n  17   2   1 2760.42 815.519   5\r\n -17  -2   1 2064.13 1072.88   2\r\n  17  -2  -1 1571.41 619.884   7\r\n  17   2   1 2726.69 903.859   2\r\n  17  -2  -1 2152.59 1004.85   4\r\n  17   2   1 1949.91 1180.92   4\r\n -17   2  -1 1252.53 927.602   6\r\n -17   2  -2 2136.60 1496.96   3\r\n -17  -2   2 2040.47 1106.67   2\r\n  17  -2  -2 2348.50 751.235   7\r\n  17   2   2 2177.97 817.795   2\r\n  17   2   2 2519.66 1007.45   4\r\n -17   2  -2 1641.20 951.301   6\r\n  17  -2  -2 2231.81 876.730   4\r\n -17  -2   3 6639.47 1692.09   2\r\n -17   2  -3 5243.21 1828.89   3\r\n  17  -2  -3 6194.04 1238.91   5\r\n  17  -2  -3 6998.11 1392.45   7\r\n  17   2   3 5287.91 1538.27   4\r\n -17   2  -3 6163.11 1482.27   6\r\n  17  -2  -3 6856.97 1261.33   4\r\n -17  -2   4 4514.26 1416.99   2\r\n  17  -2  -4 1939.78 866.429   5\r\n -17   2  -4 1909.62 1565.58   3\r\n  17  -2  -4 3906.76 1293.81   7\r\n  17   2   4 3891.13 1297.30   4\r\n -17   2  -4 5592.15 1256.07   6\r\n -17  -2   5 486.120 1004.29   2\r\n  17  -2  -5 3212.40 972.349   5\r\n -17   2  -5 2992.65 1763.65   3\r\n  17  -2  -5 937.960 1231.68   7\r\n -17   2  -5 1436.70 823.002   6\r\n  17   2   5 2267.55 1271.88   4\r\n -17  -3  -5 976.976 1760.77   3\r\n  17   3  -5 6310.55 1598.44   7\r\n  17  -3   5 3566.71 1553.21   4\r\n -17   3   5 1628.96 950.768   6\r\n -17  -3  -4 55.2031 1224.20   3\r\n  17   3  -4-2086.78 1337.55   7\r\n  17  -3   4 259.142 1050.66   4\r\n -17   3   4-1004.82 931.871   6\r\n -17  -3  -3 303.661 1253.04   3\r\n  17   3  -3 695.684 849.035   7\r\n  17  -3   3 1496.17 1025.20   4\r\n -17  -3  -3 176.995 392.062   2\r\n -17   3   3 2728.79 964.630   6\r\n -17  -3  -3-5.42853 616.291   6\r\n  17  -3   2 11129.4 970.972   7\r\n -17  -3  -2 8972.38 1304.47   2\r\n -17   3   2 9006.81 1461.98   4\r\n  17   3  -2 11245.2 1836.62   7\r\n  17  -3   2 9957.29 1765.19   4\r\n -17   3   2 9550.12 1943.11   6\r\n  17   3  -2 10099.6 2100.58   4\r\n -17  -3  -1 7215.72 1298.62   2\r\n  17  -3   1 8792.75 652.699   7\r\n  17  -3   1 7737.33 601.932   7\r\n -17   3   1 9192.27 1394.01   4\r\n  17  -3   1 10675.2 1660.41   4\r\n -17   3   1 7744.49 1795.40   6\r\n  17   3  -1 9199.85 885.049   5\r\n  17   3  -1 8939.37 1811.62   4\r\n  17   3   0 5982.99 973.283   5\r\n -17  -3   0 7828.28 1464.31   2\r\n  17  -3   0 5764.99 636.963   7\r\n  17  -3   0 6324.36 1241.37   4\r\n -17   3   0 4758.12 1395.44   6\r\n  17   3   0 5731.93 1506.47   4\r\n  17   3   1 8433.28 1309.18   5\r\n -17  -3   1 7213.78 1668.66   2\r\n  17  -3  -1 8201.17 990.886   7\r\n  17  -3  -1 6778.10 1274.68   4\r\n -17   3  -1 9693.35 1900.77   6\r\n  17   3   1 7893.36 1654.38   4\r\n -17   3  -2 8534.16 2261.60   3\r\n -17  -3   2 9988.64 1902.93   2\r\n  17  -3  -2 11613.0 1471.04   4\r\n  17  -3  -2 11546.3 1456.77   7\r\n -17   3  -2 9269.88 1902.10   6\r\n  17   3   2 9653.03 1814.78   4\r\n -17  -3   3 302.131 661.475   2\r\n -17   3  -3 1418.81 1234.72   3\r\n  17  -3  -3 363.127 708.012   5\r\n  17  -3  -3-1338.86 870.637   7\r\n -17   3  -3 234.522 445.337   6\r\n  17   3   3-1554.79 1188.76   4\r\n  17  -3  -3 214.839 585.723   4\r\n -17  -3   4-657.328 988.237   2\r\n  17  -3  -4 2360.39 800.793   5\r\n -17   3  -4 1375.44 949.303   3\r\n  17  -3  -4 2594.97 905.402   7\r\n -17   3  -4-175.144 1034.39   6\r\n  17   3   4 567.468 975.052   4\r\n -17  -3   5 993.217 1006.97   2\r\n  17  -3  -5 2747.70 1049.84   5\r\n -17   3  -5 1585.19 1999.29   3\r\n  17  -3  -5 1747.86 989.690   7\r\n  17   3   5 1620.07 925.747   4\r\n -17  -4  -4 4798.66 1913.12   3\r\n  17   4  -4 2485.07 1227.83   7\r\n  17  -4   4 2784.85 1272.89   4\r\n -17   4   4 2661.41 1129.96   6\r\n -17  -4  -3 471.190 1234.82   3\r\n  17   4  -3 3026.50 910.173   7\r\n  17  -4   3-159.949 1118.01   4\r\n -17   4   3 74.6661 452.430   6\r\n -17  -4  -2 831.699 609.694   2\r\n -17   4   2 995.131 555.573   4\r\n  17   4  -2 539.992 782.802   7\r\n  17  -4   2 541.699 949.991   4\r\n -17   4   2 1040.71 1036.38   6\r\n -17   4   1 16361.3 1971.39   4\r\n  17  -4   1 16005.9 2033.75   4\r\n -17  -4  -1 17352.5 1987.84   2\r\n -17   4   1 15369.7 2338.40   6\r\n  17   4  -1 16283.9 2383.70   4\r\n  17   4   0 910.392 517.347   5\r\n -17  -4   0 2962.56 965.628   2\r\n  17  -4   0 1609.28 880.704   4\r\n -17   4   0 623.997 1233.35   6\r\n  17   4   0 3116.44 1434.71   4\r\n -17   4  -1 16698.1 2687.04   3\r\n  17  -4  -1 17675.9 1777.06   4\r\n -17  -4   1 21173.8 2537.36   2\r\n -17   4  -1 16787.4 2401.17   6\r\n  17   4   1 16694.3 2366.65   4\r\n  17   4   1 14685.3 1690.56   5\r\n -17   4  -2-402.742 1186.63   3\r\n -17  -4   2 995.847 725.616   2\r\n  17  -4  -2 142.022 304.933   7\r\n -17   4  -2 687.456 793.195   6\r\n  17  -4  -2 1658.81 583.842   4\r\n  17   4   2 1141.55 826.311   4\r\n  17  -4  -3-1387.94 654.906   5\r\n -17   4  -3-1467.54 1314.32   3\r\n -17  -4   3-821.923 819.493   2\r\n  17  -4  -3-365.593 622.912   7\r\n -17   4  -3-1347.02 865.038   6\r\n  17   4   3 316.117 698.574   4\r\n  17  -4  -4 1477.51 882.575   5\r\n -17  -4   4 2907.69 1438.73   2\r\n -17   4  -4 5110.46 1888.18   3\r\n  17  -4  -4 2750.21 851.929   7\r\n -17   4  -4 1858.56 1178.29   6\r\n  17   4   4 1718.42 1250.96   4\r\n -17  -5  -4-1891.43 1821.30   3\r\n  17   5  -4-1246.60 1097.09   7\r\n  17  -5   4-3090.18 1580.69   4\r\n -17   5   4-1570.24 1273.64   6\r\n -17  -5  -3 2245.18 1724.80   3\r\n  17  -5   3 3378.40 1363.77   4\r\n  17   5  -3 3749.75 1462.41   7\r\n -17   5   3 4602.17 1339.75   6\r\n -17  -5  -2 4275.58 994.182   2\r\n  17  -5   2 2573.13 1190.11   4\r\n  17   5  -2 4924.40 1427.84   7\r\n -17   5   2 4430.17 1404.80   6\r\n -17  -5  -1 3142.96 1061.11   2\r\n  17  -5   1 2177.37 1025.02   4\r\n -17   5   1 2994.60 1573.87   6\r\n  17   5  -1 3971.88 1502.41   4\r\n -17  -5   0 782.826 897.398   2\r\n  17  -5   0 66.2482 482.023   4\r\n -17   5   0 379.506 1100.37   6\r\n  17   5   0 1282.19 1258.64   4\r\n -17   5  -1 2597.23 1266.88   3\r\n -17  -5   1 3155.24 1215.61   2\r\n  17  -5  -1 3111.07 995.508   4\r\n -17   5  -1 2116.89 1328.63   6\r\n  17   5   1 3329.75 1344.37   4\r\n -17   5  -2 8458.41 1963.26   3\r\n -17  -5   2 6458.87 1802.97   2\r\n -17   5  -2 7199.19 1673.32   6\r\n  17  -5  -2 4873.01 997.325   4\r\n  17   5   2 4869.05 1432.75   4\r\n  17  -5  -3 2807.37 1230.31   5\r\n -17   5  -3 497.275 1556.20   3\r\n -17  -5   3 1991.57 1365.39   2\r\n -17   5  -3 3802.07 1447.29   6\r\n  17   5   3 3153.16 1507.02   4\r\n  17  -5  -4 82.6347 1280.45   5\r\n -17  -5   4-2307.88 1530.04   2\r\n -17   5  -4-2993.13 1638.38   3\r\n -17   5  -4 3301.47 1248.04   6\r\n  17   5   4 610.612 980.410   4\r\n -17  -6  -3 4003.05 1307.78   3\r\n  17  -6   3 1060.44 1051.87   4\r\n  17   6  -3 2027.14 1450.75   7\r\n -17   6   3 497.542 1281.54   6\r\n -17  -6  -2 1996.23 690.553   2\r\n  17  -6   2-105.671 697.255   4\r\n  17   6  -2 324.538 1082.90   7\r\n -17   6   2 1622.70 942.491   6\r\n -17  -6  -1 734.235 879.672   2\r\n  17  -6   1 2141.00 1058.18   4\r\n -17   6   1 101.060 1235.62   6\r\n -17   6   0 4606.71 1413.95   3\r\n -17  -6   0 4912.25 1597.58   2\r\n  17  -6   0 6954.97 1384.33   4\r\n -17   6   0 3792.77 1364.59   6\r\n  17   6   0 4163.72 1978.24   4\r\n -17   6  -1 1683.79 1337.73   3\r\n -17  -6   1 435.231 1247.00   2\r\n  17  -6  -1 280.215 732.875   4\r\n -17   6  -1-325.351 1245.15   6\r\n  17   6   1 1243.42 1317.73   4\r\n -17   6  -2 1270.27 1302.52   3\r\n -17  -6   2 1828.94 838.517   2\r\n -17   6  -2 2649.60 1454.08   6\r\n  17   6   2 750.665 1084.00   4\r\n  17  -6  -3 483.613 1007.07   5\r\n -17   6  -3 1992.72 1287.14   3\r\n -17  -6   3 2419.21 1286.15   2\r\n -17   6  -3 1973.39 1283.17   6\r\n  17   6   3 784.342 1017.83   4\r\n -17  -7  -1 74.0415 1399.06   2\r\n  17  -7   1-58.6548 998.899   4\r\n -17   7   1-1393.63 738.324   6\r\n -17  -7   0 1294.62 639.344   2\r\n  17  -7   0 909.272 659.825   4\r\n -17  -7   1 3205.15 1161.25   2\r\n -17   7  -1 919.671 1039.90   6\r\n  17   7   1 445.306 1192.91   4\r\n  18   0   0 93737.4 4506.03   4\r\n -18   0   0 90164.8 4338.14   2\r\n  18   0  -1 3991.94 968.489   7\r\n -18   0  -1 5518.54 1192.25   2\r\n  18   0   1 5324.24 1296.25   4\r\n  18   0  -1 4016.63 1237.68   4\r\n -18   0  -1 4568.07 1252.92   6\r\n -18   0   1 4395.99 1224.08   2\r\n  18   0   2 1241.80 746.719   2\r\n  18   0  -2 1004.34 701.152   7\r\n  18   0   2-184.407 1024.18   4\r\n -18   0  -2 2526.93 960.957   6\r\n  18   0  -2 1532.34 867.395   4\r\n -18   0   2 1575.85 1092.30   2\r\n -18   0  -3 61.8643 1405.61   3\r\n  18   0  -3 940.990 556.068   5\r\n  18   0   3-127.176 787.538   2\r\n  18   0  -3 1331.61 918.254   7\r\n  18   0   3 742.471 900.629   4\r\n -18   0  -3 782.043 792.383   6\r\n -18   0   3 2450.87 1009.11   2\r\n  18   0  -3-302.121 621.184   4\r\n  18   0  -4 772.113 578.328   5\r\n -18   0  -4-376.994 1926.62   3\r\n  18   0  -4-70.6537 1034.44   7\r\n  18   0   4-13.3624 1116.29   4\r\n -18   0  -4 367.269 536.217   6\r\n -18   0   4-199.278 783.274   2\r\n -18   0  -5 600.157 1164.94   3\r\n  18   0  -5-1003.49 1243.89   7\r\n  18   0   5 145.004 931.838   4\r\n -18   0   5 3268.43 1060.73   2\r\n -18  -1  -5 1174.27 1744.83   3\r\n  18   1  -5 3963.77 1276.90   7\r\n  18  -1   5 171.509 1267.14   4\r\n -18   1   5 1227.92 989.752   2\r\n  18   1  -4 4353.02 840.310   5\r\n -18  -1  -4 1928.80 1771.91   3\r\n  18   1  -4 4671.37 1301.74   7\r\n  18  -1   4 4339.51 1439.12   4\r\n -18  -1  -4 4310.28 995.446   6\r\n -18   1   4 2314.35 1215.45   2\r\n  18  -1   3 6399.26 1289.95   2\r\n -18  -1  -3 5040.51 1804.49   3\r\n  18   1  -3 5752.90 939.531   5\r\n  18  -1   3 3505.64 989.322   7\r\n  18   1  -3 5152.81 1498.95   7\r\n  18  -1   3 7052.55 1522.71   4\r\n -18  -1  -3 5918.01 1318.33   6\r\n -18   1   3 3754.28 1232.14   2\r\n  18   1  -3 6185.73 1670.77   4\r\n -18  -1  -2 991.725 657.497   2\r\n  18   1  -2 1087.90 817.570   7\r\n  18  -1   2 2239.20 922.838   4\r\n -18   1   2 1738.20 1065.81   2\r\n -18  -1  -2 892.413 814.022   6\r\n  18   1  -2 1344.45 933.657   4\r\n  18  -1   1 12105.8 1788.13   4\r\n  18   1  -1 15963.2 2067.32   4\r\n -18  -1  -1 13791.6 1736.21   2\r\n  18   1  -1 12070.7 1713.42   7\r\n -18   1   1 13341.8 1964.52   2\r\n -18   1   1 13033.6 2161.66   6\r\n  18  -1   0 12222.5 1769.24   4\r\n  18  -1   0 13396.0 1432.62   7\r\n -18  -1   0 13713.4 1868.03   2\r\n -18   1   0 13420.6 1889.37   2\r\n  18   1   0 12183.5 1859.95   4\r\n -18   1   0 12697.5 2032.14   6\r\n  18  -1  -1 13368.6 1820.15   4\r\n  18  -1  -1 12470.9 1446.83   7\r\n  18   1   1 11553.4 1787.64   4\r\n -18   1  -1 15076.6 2275.09   6\r\n -18  -1   1 12114.6 1920.38   2\r\n  18   1   2 877.946 626.466   2\r\n  18  -1  -2 1641.71 810.201   7\r\n  18   1   2 801.181 937.154   4\r\n -18   1  -2 1600.36 830.469   6\r\n  18  -1  -2 2119.72 904.321   4\r\n -18  -1   2 2140.20 914.963   2\r\n -18   1  -3 5713.39 1911.64   3\r\n  18  -1  -3 5549.70 1104.44   5\r\n  18  -1  -3 6079.72 1296.49   7\r\n  18   1   3 4706.02 1386.10   4\r\n -18   1  -3 6207.63 1416.36   6\r\n  18  -1  -3 3851.83 1146.26   4\r\n -18  -1   3 6666.54 1691.98   2\r\n  18  -1  -4 4087.83 1011.74   5\r\n -18   1  -4 4235.01 1959.10   3\r\n  18  -1  -4 2069.61 1065.56   7\r\n  18   1   4 3637.53 1348.61   4\r\n -18   1  -4 2638.58 1048.47   6\r\n -18  -1   4 3680.20 1269.97   2\r\n  18  -1  -5-114.493 979.315   5\r\n -18   1  -5 2069.46 1941.43   3\r\n  18  -1  -5 857.196 1199.58   7\r\n  18   1   5 756.099 862.276   4\r\n -18  -1   5 738.199 801.104   2\r\n -18  -2  -5-570.578 1381.10   3\r\n  18   2  -5-2164.73 1180.06   7\r\n  18  -2   5-745.267 1535.74   4\r\n -18   2   5-9.75830 389.694   2\r\n -18   2   5-2187.26 1240.09   6\r\n -18  -2  -4 800.111 1572.82   3\r\n  18   2  -4-1140.61 480.613   7\r\n  18  -2   4-374.881 1113.76   4\r\n -18   2   4-412.928 634.751   2\r\n -18   2   4 442.797 1009.83   6\r\n -18  -2  -3 11143.5 2489.60   3\r\n  18   2  -3 7943.45 1554.12   7\r\n -18   2   3 6721.64 1179.92   4\r\n  18  -2   3 11230.0 1877.80   4\r\n -18  -2  -3 11304.2 1613.56   6\r\n -18   2   3 9069.19 1650.59   2\r\n -18   2   3 10744.9 1916.15   6\r\n  18   2  -3 9058.35 938.243   5\r\n  18   2  -2 4300.48 638.721   5\r\n  18   2  -2 3617.19 1177.20   7\r\n  18  -2   2 2020.98 931.345   4\r\n -18   2   2 3645.12 1260.39   2\r\n -18  -2  -2 2081.21 730.358   2\r\n -18   2   2 2887.36 1249.75   6\r\n  18   2  -2 2820.02 1317.18   4\r\n  18   2  -1 324.690 864.074   7\r\n  18  -2   1 1355.44 793.305   4\r\n -18   2   1 2236.91 1104.18   6\r\n  18   2  -1 1232.10 1102.70   4\r\n -18  -2  -1-246.759 830.521   2\r\n  18  -2   0 8948.82 998.718   7\r\n  18  -2   0 9234.24 1448.65   4\r\n -18   2   0 8010.27 1730.56   6\r\n  18   2   0 8609.41 1706.69   4\r\n -18  -2   0 11297.4 1754.94   2\r\n  18   2   0 7626.91 1185.61   5\r\n  18   2   1 242.480 522.139   5\r\n -18  -2   1 1144.70 954.342   2\r\n  18  -2  -1 240.806 569.358   7\r\n  18  -2  -1 802.489 716.413   4\r\n  18   2   1-18.2880 1069.41   4\r\n -18   2  -1 218.769 880.061   6\r\n -18  -2   2 3019.48 1219.97   2\r\n -18   2  -2 2539.52 1388.28   3\r\n  18  -2  -2 3228.53 980.577   7\r\n  18   2   2 3027.38 1042.13   2\r\n  18   2   2 2840.87 1207.68   4\r\n -18   2  -2 4154.55 1288.71   6\r\n  18  -2  -2 3419.47 1029.79   4\r\n -18  -2   3 10640.7 2061.39   2\r\n -18   2  -3 7935.34 2315.57   3\r\n  18  -2  -3 10577.8 1612.82   5\r\n  18  -2  -3 13758.7 1776.72   4\r\n  18  -2  -3 9013.14 1576.86   7\r\n  18   2   3 11081.9 2042.02   4\r\n -18   2  -3 11079.0 1901.71   6\r\n -18  -2   4 381.249 701.500   2\r\n  18  -2  -4-659.863 829.385   5\r\n -18   2  -4-2898.67 1943.22   3\r\n  18  -2  -4-1522.43 957.837   7\r\n  18   2   4-1405.44 1121.39   4\r\n -18   2  -4-1197.83 864.973   6\r\n -18  -2   5 1051.61 750.537   2\r\n  18  -2  -5 1971.46 822.101   5\r\n  18  -2  -5 906.085 1119.47   7\r\n -18   2  -5-705.826 450.792   6\r\n  18   2   5-893.995 1292.11   4\r\n -18  -3  -5 4376.11 1526.44   3\r\n  18   3  -5 311.350 650.210   7\r\n  18  -3   5 3102.23 1454.52   4\r\n -18   3   5 3841.99 1259.71   6\r\n -18  -3  -4 2712.47 1480.95   3\r\n  18   3  -4 4254.30 1337.45   7\r\n  18  -3   4 3444.98 1473.43   4\r\n -18   3   4 2891.08 1217.43   6\r\n -18  -3  -3 1549.65 1257.71   3\r\n -18  -3  -3 1048.27 498.732   2\r\n  18   3  -3 1553.25 850.915   7\r\n  18  -3   3 515.972 941.054   4\r\n -18   3   3 75.7600 930.279   6\r\n -18  -3  -3 1924.10 733.920   6\r\n -18   3   2 3958.47 1151.87   4\r\n  18   3  -2 5406.07 1420.64   7\r\n  18  -3   2 6184.78 1390.77   4\r\n -18   3   2 6471.97 1637.33   6\r\n -18  -3  -2 6869.60 1146.52   2\r\n  18   3  -2 5360.70 1560.55   4\r\n  18  -3   1 14315.6 2004.33   4\r\n  18  -3   1 12483.6 821.494   7\r\n  18  -3   1 13507.8 839.737   7\r\n  18   3  -1 13555.8 1927.03   7\r\n -18  -3  -1 11668.0 1709.44   2\r\n -18   3   1 10344.0 2101.46   6\r\n  18   3  -1 12336.4 2188.78   4\r\n  18   3   0 5069.96 920.755   5\r\n -18  -3   0 3149.14 1065.14   2\r\n  18  -3   0 3016.11 516.872   7\r\n  18  -3   0 3244.35 1075.34   4\r\n -18   3   0 2932.36 1142.03   6\r\n  18   3   0 3782.05 1290.40   4\r\n -18  -3   1 11674.0 1948.43   2\r\n  18  -3  -1 13687.4 1710.64   4\r\n  18  -3  -1 12229.6 1214.74   7\r\n -18   3  -1 13401.0 2172.19   6\r\n  18   3   1 11493.1 2030.85   4\r\n  18   3   1 13882.6 1741.93   5\r\n -18   3  -2 5189.04 1611.24   3\r\n -18  -3   2 7771.31 1739.26   2\r\n  18  -3  -2 4239.15 1058.09   7\r\n -18   3  -2 5236.37 1381.83   6\r\n  18   3   2 6657.73 1482.16   4\r\n  18  -3  -2 5581.47 1159.98   4\r\n -18  -3   3 199.151 1359.47   2\r\n -18   3  -3 851.043 1404.48   3\r\n  18  -3  -3 950.012 812.404   5\r\n  18  -3  -3 2814.40 1026.28   7\r\n -18   3  -3 1585.57 897.978   6\r\n  18   3   3 1824.04 1234.44   4\r\n  18  -3  -3 1048.14 746.485   4\r\n -18  -3   4 2714.27 1022.21   2\r\n  18  -3  -4 3181.93 1240.35   5\r\n -18   3  -4 2377.46 2037.35   3\r\n  18  -3  -4 1937.15 982.896   7\r\n -18   3  -4 2632.29 1261.00   6\r\n  18   3   4 1953.47 991.184   4\r\n -18  -3   5-1877.74 1456.53   2\r\n  18  -3  -5 1288.82 1099.31   5\r\n -18   3  -5 1107.42 1579.15   3\r\n  18  -3  -5 661.743 879.750   7\r\n -18   3  -5-978.674 783.553   6\r\n  18   3   5 913.815 1314.04   4\r\n  18   4  -4 1510.56 1001.75   7\r\n  18  -4   4-53.8327 1160.10   4\r\n -18   4   4 349.940 1018.48   6\r\n -18  -4  -3 1703.41 1302.10   3\r\n  18   4  -3 503.820 684.611   7\r\n  18  -4   3-297.455 904.119   4\r\n -18   4   3-389.868 932.313   6\r\n  18   4  -2 3707.84 1150.75   7\r\n  18  -4   2 2271.81 1141.30   4\r\n -18   4   2 3661.23 1277.10   6\r\n -18  -4  -2 2763.93 804.828   2\r\n -18  -4  -1 2327.47 940.933   2\r\n  18  -4   1 2552.48 1108.40   4\r\n -18   4   1 2842.67 1242.14   6\r\n  18   4  -1 1326.66 1375.53   4\r\n -18  -4   0 13605.8 2056.14   2\r\n  18  -4   0 12810.0 1757.24   4\r\n -18   4   0 13114.8 2271.36   6\r\n  18   4   0 14289.4 2320.38   4\r\n -18   4  -1 2656.91 1524.62   3\r\n -18  -4   1 2349.75 1179.14   2\r\n  18  -4  -1 2352.29 954.393   4\r\n -18   4  -1 2541.51 1305.11   6\r\n  18   4   1 2951.21 1364.49   4\r\n -18   4  -2 330.523 1070.28   3\r\n -18  -4   2 1083.08 1108.07   2\r\n  18  -4  -2 1863.97 614.250   7\r\n -18   4  -2 1266.99 1052.36   6\r\n  18  -4  -2 2626.64 801.768   4\r\n  18   4   2 3874.30 1315.56   4\r\n -18  -4   3 109.959 984.554   2\r\n -18   4  -3 2146.24 1226.68   3\r\n  18  -4  -3-418.837 671.627   5\r\n  18  -4  -3 140.359 427.999   7\r\n -18   4  -3 585.937 762.694   6\r\n  18   4   3-397.482 1212.99   4\r\n  18  -4  -4-18.9074 830.772   5\r\n -18  -4   4 301.368 1129.17   2\r\n -18   4  -4-1313.02 1360.24   3\r\n  18  -4  -4 3617.19 904.770   7\r\n -18   4  -4 454.999 729.541   6\r\n  18   4   4 220.093 936.852   4\r\n -18  -5  -3 1675.88 1534.88   3\r\n  18   5  -3-38.6585 1465.19   7\r\n  18  -5   3 1295.87 1052.91   4\r\n -18   5   3 868.559 1334.14   6\r\n -18  -5  -2 7962.66 1330.69   2\r\n  18   5  -2 6803.35 1827.31   7\r\n  18  -5   2 7297.42 1739.30   4\r\n -18   5   2 9543.92 2121.34   6\r\n -18  -5  -1 1561.72 793.719   2\r\n  18  -5   1 2226.16 1041.55   4\r\n -18   5   1 1508.78 1064.05   6\r\n  18   5  -1 1008.11 1463.72   4\r\n -18  -5   0 1521.90 1030.58   2\r\n  18  -5   0 2589.98 1051.93   4\r\n -18   5   0 2547.92 1022.84   6\r\n  18   5   0 3565.05 1446.49   4\r\n -18   5  -1 963.204 1186.79   3\r\n -18  -5   1 2802.14 1327.16   2\r\n  18  -5  -1 3764.20 968.458   4\r\n -18   5  -1 1201.07 1118.28   6\r\n  18   5   1 2977.16 1479.50   4\r\n -18   5  -2 6520.56 2000.80   3\r\n -18  -5   2 6515.43 1873.63   2\r\n -18   5  -2 13100.8 2396.07   6\r\n  18   5   2 11761.2 2168.99   4\r\n  18  -5  -3 2476.50 1140.05   5\r\n -18   5  -3 1578.66 1678.90   3\r\n -18  -5   3 1664.10 1012.98   2\r\n -18   5  -3 863.119 805.283   6\r\n  18   5   3 2132.53 1282.69   4\r\n -18  -6  -3 4267.72 1841.72   3\r\n  18  -6   3 3771.49 1469.08   4\r\n  18   6  -3 3881.18 1372.77   7\r\n -18   6   3 1503.36 1542.70   6\r\n  18  -6   2 316.019 1013.70   4\r\n  18   6  -2-43.1176 1109.43   7\r\n -18   6   2 311.522 951.215   6\r\n -18  -6  -1 1624.50 982.460   2\r\n  18  -6   1 3593.16 1230.67   4\r\n -18   6   1 827.199 1061.38   6\r\n -18   6   0 2645.25 1094.86   3\r\n -18  -6   0 1396.46 950.497   2\r\n  18  -6   0 256.539 530.031   4\r\n -18   6   0-1867.99 1202.85   6\r\n  18   6   0-565.468 1511.40   4\r\n -18   6  -1 1045.29 1264.22   3\r\n -18  -6   1 959.488 1464.89   2\r\n -18   6  -1 5410.44 1462.13   6\r\n  18   6   1 4436.68 1458.02   4\r\n -18   6  -2 198.670 999.496   3\r\n -18  -6   2-2052.83 1627.27   2\r\n -18   6  -2-917.164 1083.75   6\r\n  18   6   2 1438.34 1397.54   4\r\n  18  -6  -3 2973.57 1317.45   5\r\n -18  -6   3 3665.43 1403.37   2\r\n -18   6  -3 2436.17 1414.41   6\r\n  18   6   3 1792.43 1422.90   4\r\n -18  -7  -1-823.726 879.057   2\r\n  18  -7   1-930.346 1264.72   4\r\n  18   7  -1 1548.75 1165.51   7\r\n -18   7   1 1545.94 788.547   6\r\n -18  -7   0-15.3980 854.667   2\r\n -18   7   0 471.072 947.023   6\r\n -18  -7   1-51.9625 1133.79   2\r\n -18   7  -1-3310.67 1435.61   6\r\n  18   7   1-1819.06 1655.86   4\r\n  19   0   0 483.358 844.078   4\r\n -19   0   0 1125.32 1075.85   2\r\n  19   0  -1 822.933 688.301   7\r\n -19   0  -1 905.340 834.777   2\r\n  19   0   1 817.225 973.376   4\r\n  19   0  -1 1074.29 767.381   4\r\n -19   0   1 2675.91 1175.64   2\r\n -19   0  -1 1577.71 944.657   6\r\n  19   0  -2 9092.97 1527.92   7\r\n  19   0   2 10418.5 1844.12   4\r\n -19   0  -2 10788.1 1776.93   6\r\n -19   0   2 7948.58 1774.37   2\r\n  19   0  -2 11000.8 1804.57   4\r\n -19   0  -3 6466.21 2368.75   3\r\n  19   0  -3 8677.66 1310.87   5\r\n  19   0  -3 7112.27 1493.21   7\r\n  19   0   3 8345.56 1752.53   4\r\n -19   0  -3 7611.20 1648.59   6\r\n -19   0   3 9164.98 1704.74   2\r\n  19   0  -3 10079.1 1809.22   4\r\n  19   0  -4 3889.22 1010.41   5\r\n -19   0  -4 4242.00 2180.59   3\r\n  19   0  -4 5324.11 1466.84   7\r\n  19   0   4 4080.39 1499.49   4\r\n -19   0  -4 3972.78 1056.84   6\r\n -19   0   4 7714.96 1810.72   2\r\n -19   0  -5-2670.39 2165.77   3\r\n  19   0  -5 2450.38 1004.19   7\r\n  19   0   5-365.819 1067.42   4\r\n -19   0   5-2601.53 976.346   2\r\n -19  -1  -5 2741.22 1423.50   3\r\n  19   1  -5 1274.70 1198.63   7\r\n -19   1   5 218.340 649.776   2\r\n -19  -1  -4 3239.45 2104.89   3\r\n  19   1  -4 2529.39 965.450   7\r\n  19  -1   4 2147.40 1337.73   4\r\n -19  -1  -4 1727.72 705.716   6\r\n -19   1   4 1015.04 1021.32   2\r\n -19  -1  -3 2128.98 1488.45   3\r\n  19   1  -3 1363.62 541.579   5\r\n  19   1  -3 813.507 1106.55   7\r\n  19  -1   3 1392.29 977.795   4\r\n -19  -1  -3 1977.69 879.049   6\r\n -19   1   3 1122.07 881.096   2\r\n  19   1  -3 491.946 1072.63   4\r\n  19   1  -2 8417.92 1558.65   7\r\n  19  -1   2 11160.5 1817.67   4\r\n -19   1   2 9619.43 1811.88   2\r\n -19  -1  -2 8812.90 1606.10   6\r\n  19   1  -2 11038.8 1914.02   4\r\n  19  -1   1 33401.7 2941.32   4\r\n -19   1   1 33841.5 2957.08   2\r\n  19   1  -1 34298.6 3058.64   4\r\n -19  -1  -1 34224.2 2653.62   2\r\n  19   1  -1 30089.4 2652.50   7\r\n -19   1   1 34499.7 3418.68   6\r\n  19  -1   0 26759.1 2596.92   4\r\n -19   1   0 25164.9 2515.59   2\r\n  19   1   0 23588.2 2605.10   4\r\n -19  -1   0 27772.5 2600.05   2\r\n  19  -1   0 25377.1 2011.39   7\r\n -19   1   0 27557.6 2992.92   6\r\n  19   1   1 27425.6 2727.95   4\r\n  19  -1  -1 32323.8 2734.93   4\r\n  19  -1  -1 30906.7 2243.36   7\r\n -19  -1   1 34543.4 3104.31   2\r\n -19   1  -1 31301.3 3127.65   6\r\n  19   1   2 8356.14 1519.84   2\r\n  19  -1  -2 9754.27 1492.88   7\r\n  19   1   2 10883.3 1839.04   4\r\n -19   1  -2 10349.9 1837.97   6\r\n  19  -1  -2 8986.31 1512.70   4\r\n -19  -1   2 10373.0 1877.92   2\r\n -19   1  -3 4829.03 1508.72   3\r\n  19  -1  -3 362.667 738.874   5\r\n  19  -1  -3 1793.79 753.879   7\r\n  19   1   3 2265.22 1265.52   4\r\n -19   1  -3 2251.31 937.676   6\r\n  19  -1  -3 1670.52 698.362   4\r\n -19  -1   3 1159.51 1050.55   2\r\n  19  -1  -4 1847.48 912.450   5\r\n -19   1  -4 3717.26 1830.25   3\r\n  19  -1  -4 2880.12 1147.56   7\r\n  19   1   4 2147.76 1439.67   4\r\n -19   1  -4 2779.44 980.379   6\r\n -19  -1   4 1534.96 1344.63   2\r\n  19  -1  -5-1183.15 933.894   5\r\n -19   1  -5-1565.75 1591.25   3\r\n  19  -1  -5-1387.27 783.995   7\r\n  19   1   5 362.039 1140.17   4\r\n -19  -1   5 33.7984 822.382   2\r\n -19  -2  -5 747.349 1715.77   3\r\n  19   2  -5 2446.59 969.470   7\r\n  19  -2   5 2482.86 1488.81   4\r\n -19   2   5 954.543 799.664   2\r\n -19   2   5 1694.33 1102.33   6\r\n -19  -2  -4 1888.49 2100.04   3\r\n  19   2  -4 1273.32 839.213   7\r\n  19  -2   4 2708.61 1241.27   4\r\n -19   2   4 3891.63 1109.09   2\r\n -19   2   4 1742.18 1069.13   6\r\n -19  -2  -3 6735.88 1882.95   3\r\n  19   2  -3 2688.10 1174.90   7\r\n  19  -2   3 2932.75 1336.02   4\r\n -19   2   3 3740.71 1212.58   2\r\n -19  -2  -3 4818.51 1163.44   6\r\n -19   2   3 3375.21 1233.60   6\r\n  19  -2   2 14241.9 2132.32   4\r\n -19  -2  -2 12874.2 1544.01   2\r\n  19   2  -2 12764.3 1867.36   7\r\n -19   2   2 13050.0 2196.34   2\r\n -19   2   2 13345.9 2316.03   6\r\n  19   2  -2 13231.9 2163.47   4\r\n  19  -2   1 7287.39 961.003   7\r\n  19   2  -1 8171.84 1558.59   7\r\n  19  -2   1 8161.32 1576.54   4\r\n -19   2   1 8036.98 1766.37   6\r\n  19   2  -1 7445.42 1103.91   5\r\n -19  -2  -1 7702.69 1374.65   2\r\n  19   2  -1 5896.04 1572.43   4\r\n  19   2   0 9292.41 1351.37   5\r\n  19  -2   0 12448.4 1732.84   4\r\n  19  -2   0 10843.3 1130.64   7\r\n -19   2   0 9813.42 1842.12   6\r\n  19   2   0 11040.0 1880.36   4\r\n -19  -2   0 9583.14 1671.79   2\r\n -19  -2   1 7598.81 1640.87   2\r\n  19  -2  -1 6640.20 1141.04   7\r\n  19  -2  -1 6255.13 1331.22   4\r\n  19   2   1 8048.63 1604.90   4\r\n -19   2  -1 7855.77 1669.84   6\r\n -19  -2   2 9479.01 1896.43   2\r\n -19   2  -2 13035.7 2654.33   3\r\n  19  -2  -2 12416.9 1743.60   4\r\n  19  -2  -2 10236.2 1532.92   7\r\n  19   2   2 9963.42 1659.16   2\r\n  19   2   2 11337.6 2079.67   4\r\n -19   2  -2 13482.4 2178.61   6\r\n -19  -2   3 5625.50 1650.81   2\r\n -19   2  -3 4321.35 1751.03   3\r\n  19  -2  -3 5115.67 1214.29   5\r\n  19  -2  -3 4374.65 1073.43   7\r\n  19   2   3 5662.06 1635.61   4\r\n -19   2  -3 2419.59 1243.69   6\r\n  19  -2  -3 5423.15 1266.16   4\r\n -19  -2   4 3061.74 1122.58   2\r\n  19  -2  -4 1720.09 957.528   5\r\n -19   2  -4 4098.08 1416.96   3\r\n  19  -2  -4 5476.30 1342.63   7\r\n  19   2   4 4003.57 1533.17   4\r\n -19   2  -4 1542.80 1029.49   6\r\n -19  -2   5 2003.22 1073.82   2\r\n  19  -2  -5 1322.70 775.780   5\r\n -19   2  -5 3993.26 2098.95   3\r\n  19  -2  -5-346.715 876.846   7\r\n  19   2   5-1317.38 1430.20   4\r\n  19   3  -4 376.298 788.340   7\r\n  19  -3   4 927.915 965.695   4\r\n -19   3   4 1545.55 813.714   6\r\n -19  -3  -3 552.069 1431.97   3\r\n  19   3  -3 1497.76 928.657   7\r\n  19  -3   3 3580.46 1055.18   4\r\n -19   3   3 916.352 997.516   6\r\n -19  -3  -3 2063.88 724.746   6\r\n  19   3  -2 389.831 905.762   7\r\n  19  -3   2 525.665 770.600   4\r\n -19   3   2 2098.28 1354.17   6\r\n -19  -3  -2 680.469 600.300   2\r\n  19   3  -2-335.901 1259.46   4\r\n  19  -3   1 8172.53 707.273   7\r\n  19   3  -1 5017.98 1362.41   7\r\n  19  -3   1 9557.45 1684.59   4\r\n -19   3   1 10001.7 2093.40   6\r\n  19   3  -1 7424.99 1818.34   4\r\n -19  -3  -1 6869.64 1398.62   2\r\n -19  -3   0 5977.34 1539.35   2\r\n  19  -3   0 6601.80 742.239   7\r\n  19  -3   0 5742.06 1391.09   4\r\n -19   3   0 7841.80 1694.18   6\r\n  19   3   0 7456.53 1622.01   4\r\n  19   3   1 6984.26 1324.90   5\r\n -19  -3   1 8171.83 1679.38   2\r\n  19  -3  -1 6202.57 914.235   7\r\n  19  -3  -1 6731.80 1314.72   4\r\n -19   3  -1 6213.96 1632.52   6\r\n  19   3   1 8792.96 1831.90   4\r\n -19  -3   2 31.9600 679.092   2\r\n -19   3  -2-463.202 1044.98   3\r\n  19  -3  -2 1754.81 601.740   7\r\n -19   3  -2 2674.58 900.685   6\r\n  19   3   2-127.285 1103.57   4\r\n  19  -3  -2 83.5712 738.173   4\r\n -19  -3   3 832.635 642.193   2\r\n -19   3  -3 656.174 1353.83   3\r\n  19  -3  -3 499.522 750.263   5\r\n  19  -3  -3 133.457 615.245   7\r\n -19   3  -3 1191.35 1028.64   6\r\n  19   3   3 1416.73 1235.37   4\r\n  19  -3  -3 1577.19 719.402   4\r\n -19  -3   4 1544.69 934.434   2\r\n  19  -3  -4-835.956 707.327   5\r\n -19   3  -4-1055.90 1522.46   3\r\n  19  -3  -4-148.181 306.681   7\r\n -19   3  -4-343.365 848.622   6\r\n  19   3   4 212.455 1059.71   4\r\n -19  -4  -4 534.427 1728.08   3\r\n  19   4  -4 4441.48 1717.42   7\r\n  19  -4   4 2281.19 1586.78   4\r\n -19   4   4 2089.82 1426.86   6\r\n -19  -4  -3 4384.29 2157.56   3\r\n  19   4  -3 6080.58 1500.71   7\r\n  19  -4   3 5950.41 1772.53   4\r\n -19   4   3 8807.79 1846.78   6\r\n  19   4  -2 2981.18 1137.10   7\r\n  19  -4   2 1667.80 929.897   4\r\n -19   4   2 2260.56 996.024   6\r\n -19  -4  -2 1537.76 745.558   2\r\n -19  -4  -1 1060.88 817.620   2\r\n  19  -4   1 2475.89 829.033   4\r\n -19   4   1 871.007 909.298   6\r\n  19   4  -1 339.306 1158.28   4\r\n -19  -4   0 775.995 761.595   2\r\n  19  -4   0 174.704 837.658   4\r\n -19   4   0 557.160 848.200   6\r\n  19   4   0-348.251 1344.94   4\r\n -19   4  -1 945.427 963.050   3\r\n -19  -4   1 3152.85 1020.88   2\r\n  19  -4  -1 1231.07 858.117   4\r\n -19   4  -1 1128.21 999.857   6\r\n  19   4   1 676.380 1229.94   4\r\n -19   4  -2 38.1906 877.399   3\r\n -19  -4   2 2218.90 1169.78   2\r\n -19   4  -2 3674.15 1253.24   6\r\n  19  -4  -2 1816.09 702.004   4\r\n  19   4   2 3589.05 1351.40   4\r\n -19  -4   3 4037.28 1394.59   2\r\n -19   4  -3 6351.73 2198.43   3\r\n  19  -4  -3 4287.65 1394.74   5\r\n -19   4  -3 3443.59 1561.87   6\r\n  19   4   3 5819.23 1622.18   4\r\n -19  -4   4 1816.85 1431.82   2\r\n  19  -4  -4 3811.98 1091.47   5\r\n -19   4  -4 2121.81 1447.78   3\r\n -19   4  -4 1882.63 1269.83   6\r\n  19   4   4 3242.24 1550.55   4\r\n  19   5  -3 3027.02 1134.20   7\r\n  19  -5   3 250.079 838.100   4\r\n -19   5   3 591.689 991.174   6\r\n -19  -5  -2 1832.78 835.741   2\r\n  19   5  -2 3973.08 1430.35   7\r\n  19  -5   2 4194.47 1338.99   4\r\n -19   5   2 4980.56 1468.16   6\r\n -19  -5  -1 3323.18 1157.26   2\r\n  19  -5   1 2626.10 1144.41   4\r\n -19   5   1 5935.13 1894.11   6\r\n  19   5  -1 1742.55 1252.99   4\r\n -19  -5   0 6950.94 1691.14   2\r\n  19  -5   0 6057.69 1422.56   4\r\n  19   5   0 4190.30 1735.23   4\r\n -19   5  -1 3249.25 1538.47   3\r\n -19  -5   1 4788.74 1639.80   2\r\n  19  -5  -1 3644.61 1011.81   4\r\n -19   5  -1 3541.71 1400.58   6\r\n  19   5   1 2099.55 1449.26   4\r\n -19   5  -2 3233.98 1755.93   3\r\n -19  -5   2 4301.38 1637.49   2\r\n -19   5  -2 5096.52 1569.08   6\r\n  19   5   2 6144.90 1585.29   4\r\n  19  -5  -3 1609.97 907.149   5\r\n -19  -5   3 2135.56 1285.58   2\r\n -19   5  -3-1227.51 1583.54   3\r\n -19   5  -3 457.410 822.872   6\r\n  19   5   3 782.432 893.022   4\r\n  19  -6   2-1656.01 1307.71   4\r\n -19   6   2-614.471 1170.02   6\r\n -19  -6  -1-2264.82 1000.04   2\r\n  19  -6   1 454.962 498.667   4\r\n -19   6   1-2978.44 1529.59   6\r\n -19   6   0 1031.22 1016.83   3\r\n -19  -6   0 865.988 697.789   2\r\n  19  -6   0 2634.44 1051.08   4\r\n -19   6   0 2899.42 1364.14   6\r\n  19   6   0-470.128 1353.99   4\r\n -19   6  -1-2006.53 1381.81   3\r\n -19  -6   1 532.335 1009.37   2\r\n -19   6  -1-2776.98 1372.20   6\r\n  19   6   1 1134.39 990.830   4\r\n -19   6  -2-2423.99 2004.23   3\r\n -19  -6   2-2883.47 1733.62   2\r\n -19   6  -2-2533.43 1489.99   6\r\n  19   6   2-2972.27 1798.51   4\r\n  20   0   0 9071.80 1421.82   7\r\n -20   0   0 11614.6 1744.82   2\r\n  20   0   0 9309.55 1664.04   4\r\n -20   0   0 8919.41 1801.87   6\r\n -20   0  -1 1288.86 781.621   2\r\n  20   0  -1 1498.44 763.278   7\r\n  20   0   1 1086.83 916.202   4\r\n -20   0   1-82.7173 849.088   2\r\n  20   0  -1 534.422 767.047   4\r\n -20   0  -1-4.26969 579.545   6\r\n  20   0  -2 5342.03 1304.91   7\r\n  20   0   2 5624.40 1399.29   4\r\n -20   0  -2 5982.68 1301.15   6\r\n -20   0   2 5383.25 1504.00   2\r\n  20   0  -2 7225.51 1534.45   4\r\n -20   0  -3-166.072 1179.98   3\r\n  20   0  -3-286.830 572.430   5\r\n  20   0  -3 1039.12 843.725   7\r\n  20   0   3 1476.14 1203.65   4\r\n -20   0  -3 413.069 799.031   6\r\n -20   0   3 204.437 1017.46   2\r\n  20   0  -3 868.026 851.378   4\r\n  20   0  -4 3286.90 1055.73   5\r\n -20   0  -4 4907.27 2378.56   3\r\n  20   0  -4 4618.99 1556.10   7\r\n  20   0   4 3813.34 1342.40   4\r\n -20   0  -4 3297.29 1036.69   6\r\n -20   0   4 3196.75 1186.12   2\r\n -20   0  -5 2675.58 1899.28   3\r\n  20   0  -5 1796.81 1039.91   7\r\n  20   0   5 3442.12 1556.45   4\r\n -20   0   5 930.357 931.968   2\r\n -20  -1  -4 4058.72 2236.16   3\r\n  20   1  -4 3374.30 1224.85   7\r\n  20  -1   4 4221.01 1488.76   4\r\n -20   1   4 3595.58 1127.04   2\r\n -20  -1  -3 9669.39 2467.07   3\r\n  20   1  -3 8352.96 1887.90   7\r\n  20  -1   3 8762.25 1898.68   4\r\n -20  -1  -3 7724.26 1605.22   6\r\n -20   1   3 10205.4 1845.10   2\r\n  20   1  -3 9077.41 1162.76   5\r\n  20   1  -3 11526.2 2269.56   4\r\n  20   1  -2 2628.97 967.735   7\r\n  20  -1   2 4480.76 1401.29   4\r\n -20   1   2 4452.15 1234.15   2\r\n -20  -1  -2 4235.88 1305.39   6\r\n  20   1  -2 4539.26 1432.38   4\r\n  20   1  -1 6640.67 1472.24   7\r\n  20  -1   1 5614.08 1366.71   4\r\n -20   1   1 5086.59 1434.31   2\r\n -20  -1  -1 5234.73 1179.22   2\r\n -20   1   1 4423.65 1531.03   6\r\n  20   1  -1 5458.80 1401.93   4\r\n -20   1   0 542.571 724.403   2\r\n  20  -1   0-227.461 677.711   7\r\n  20  -1   0 238.551 559.118   4\r\n  20   1   0 555.282 683.307   4\r\n -20   1   0 1455.30 973.530   6\r\n -20  -1   0-99.8334 1120.99   2\r\n  20  -1  -1 4766.83 1094.30   7\r\n  20   1   1 6107.23 1363.82   4\r\n  20  -1  -1 5615.83 1349.62   4\r\n -20   1  -1 4641.73 1464.12   6\r\n -20  -1   1 5484.38 1391.78   2\r\n  20  -1  -2 3851.37 928.562   7\r\n  20   1   2 6380.96 1601.18   4\r\n -20   1  -2 2728.24 935.504   6\r\n  20  -1  -2 4673.13 1164.59   4\r\n -20  -1   2 4671.32 1342.18   2\r\n -20   1  -3 11937.9 2636.32   3\r\n  20  -1  -3 7737.25 1371.09   5\r\n  20  -1  -3 10215.6 1762.25   7\r\n  20   1   3 8453.16 1836.45   4\r\n -20   1  -3 9308.28 1797.26   6\r\n  20  -1  -3 11839.2 1901.15   4\r\n -20  -1   3 8302.27 1822.69   2\r\n  20  -1  -4 2686.86 939.306   5\r\n -20   1  -4 1519.23 1834.92   3\r\n  20  -1  -4 4378.00 1359.99   7\r\n  20   1   4 3916.41 1438.27   4\r\n -20   1  -4 3317.89 948.825   6\r\n -20  -1   4 2613.44 1153.35   2\r\n -20  -2  -4-1085.12 1603.83   3\r\n  20   2  -4 1226.51 924.683   7\r\n  20  -2   4 384.624 853.353   4\r\n -20   2   4 207.225 357.423   2\r\n -20   2   4 29.8232 211.511   6\r\n -20  -2  -3 2740.91 1388.08   3\r\n  20   2  -3 1364.19 914.276   7\r\n  20  -2   3 1065.74 825.701   4\r\n -20   2   3 1337.85 857.613   2\r\n -20  -2  -3 892.342 607.100   6\r\n -20   2   3-16.7143 681.024   6\r\n  20   2  -2 1959.81 916.380   7\r\n  20  -2   2 234.484 1068.15   4\r\n -20   2   2-242.803 769.006   2\r\n -20  -2  -2 132.222 660.194   2\r\n -20   2   2 31.2923 870.958   6\r\n -20  -2  -2-199.037 976.798   6\r\n  20   2  -2-235.228 1161.97   4\r\n  20  -2   1 11854.0 1784.38   4\r\n  20  -2   1 12426.6 1241.70   7\r\n  20   2  -1 11977.8 1860.99   7\r\n -20   2   1 13104.1 2297.40   6\r\n -20  -2  -1 10403.8 1667.12   2\r\n  20   2  -1 12126.3 2132.48   4\r\n  20   2   0 1903.51 730.170   5\r\n  20  -2   0 2144.64 610.371   7\r\n  20  -2   0 3290.62 1197.97   4\r\n -20   2   0 2961.75 1132.47   6\r\n  20   2   0 3096.47 1253.12   4\r\n -20  -2   0 2847.97 876.817   2\r\n  20  -2  -1 11063.4 1368.75   7\r\n  20  -2  -1 12347.3 1825.81   4\r\n -20   2  -1 10971.1 2005.58   6\r\n  20   2   1 11699.3 2053.37   4\r\n -20  -2   1 13051.2 2040.60   2\r\n -20  -2   2 99.5169 957.463   2\r\n -20   2  -2-1430.50 1587.50   3\r\n  20  -2  -2 1083.47 608.316   7\r\n  20   2   2 327.373 1048.45   4\r\n -20   2  -2 1094.67 574.873   6\r\n  20  -2  -2-1035.57 767.503   4\r\n -20  -2   3-486.373 1240.60   2\r\n -20   2  -3 1887.82 1032.17   3\r\n  20  -2  -3 2539.52 878.317   5\r\n  20  -2  -3 1895.59 694.221   7\r\n  20   2   3 736.795 849.173   4\r\n -20   2  -3 619.680 1081.78   6\r\n  20  -2  -3 2555.04 1154.94   4\r\n  20  -2  -4-144.767 888.642   5\r\n -20   2  -4 1543.47 1309.03   3\r\n  20  -2  -4-848.827 819.100   7\r\n -20   2  -4-956.220 871.253   6\r\n  20   2   4 1135.55 1031.07   4\r\n -20  -3  -4 1723.16 1826.39   3\r\n  20   3  -4 2207.97 1100.70   7\r\n  20  -3   4 2299.81 1338.39   4\r\n -20   3   4 2021.11 1350.03   6\r\n -20  -3  -3 194.900 1128.01   3\r\n  20   3  -3 926.348 1014.56   7\r\n  20  -3   3 154.373 1173.23   4\r\n -20   3   3 1026.19 909.676   6\r\n -20  -3  -3-1454.22 860.065   6\r\n  20   3  -2 6410.92 1617.66   7\r\n  20  -3   2 6847.03 1646.51   4\r\n -20   3   2 7179.34 1872.63   6\r\n -20  -3  -2 6406.86 1207.77   2\r\n  20   3  -2 9411.94 2125.45   4\r\n  20   3  -1 1162.21 747.885   7\r\n  20  -3   1 83.0750 861.020   4\r\n -20   3   1-1014.83 1115.61   6\r\n  20   3  -1 947.637 968.291   4\r\n -20  -3  -1 2902.07 857.253   2\r\n -20  -3   0-117.546 647.561   2\r\n  20  -3   0-581.661 326.807   7\r\n  20  -3   0 694.033 826.309   4\r\n -20   3   0-1464.60 937.707   6\r\n  20   3   0 31.9881 821.355   4\r\n -20  -3   1 556.238 858.018   2\r\n  20  -3  -1 1100.67 413.959   7\r\n  20  -3  -1 511.995 601.905   4\r\n -20   3  -1 2418.91 1038.90   6\r\n  20   3   1 1525.46 1030.81   4\r\n -20  -3   2 5084.81 1428.76   2\r\n -20   3  -2 3859.69 2023.31   3\r\n  20  -3  -2 6461.33 1144.25   7\r\n -20   3  -2 7677.86 1731.24   6\r\n  20   3   2 6198.10 1720.29   4\r\n  20  -3  -2 7138.81 1373.81   4\r\n -20  -3   3 794.689 825.152   2\r\n -20   3  -3 921.293 1083.47   3\r\n  20  -3  -3 1706.97 859.401   5\r\n  20  -3  -3 760.387 710.640   7\r\n -20   3  -3 356.481 906.521   6\r\n  20   3   3 1414.45 1312.71   4\r\n  20  -3  -3 43.6168 893.366   4\r\n -20  -3   4 4593.70 1675.38   2\r\n  20  -3  -4 3629.40 1054.54   5\r\n -20   3  -4 3801.15 1551.87   3\r\n  20  -3  -4 3001.03 1021.07   7\r\n -20   3  -4-412.224 1114.16   6\r\n  20   3   4 2101.22 1280.15   4\r\n -20  -4  -3 888.875 1374.90   3\r\n  20   4  -3 682.089 992.558   7\r\n  20  -4   3 1365.46 1064.34   4\r\n -20   4   3 276.625 949.058   6\r\n  20   4  -2 627.385 834.323   7\r\n  20  -4   2 169.793 932.051   4\r\n -20   4   2 635.266 913.397   6\r\n -20  -4  -2 776.327 571.631   2\r\n -20  -4  -1 1484.04 900.340   2\r\n  20   4  -1 2599.58 1094.18   7\r\n  20  -4   1 2554.78 1172.04   4\r\n -20   4   1 1546.53 1220.18   6\r\n  20   4  -1 997.312 1008.84   4\r\n -20  -4   0 2610.76 1037.89   2\r\n  20  -4   0 1040.27 924.984   4\r\n -20   4   0 2767.21 1440.82   6\r\n  20   4   0 2211.98 1393.80   4\r\n -20   4  -1 3295.48 1457.59   3\r\n -20  -4   1 2991.08 1083.71   2\r\n  20  -4  -1 1732.23 884.829   4\r\n -20   4  -1 1582.48 1100.10   6\r\n  20   4   1 1511.97 929.775   4\r\n -20  -4   2 332.514 703.063   2\r\n -20   4  -2-1334.89 1436.76   3\r\n -20   4  -2 1015.73 1283.80   6\r\n  20  -4  -2 1141.35 666.052   4\r\n -20  -4   3 464.691 1234.86   2\r\n -20   4  -3 4309.31 1750.94   3\r\n  20  -4  -3 918.899 907.264   5\r\n -20   4  -3 2737.62 1408.85   6\r\n  20   4   3 317.363 1422.36   4\r\n -20  -5  -3 4125.21 1912.44   3\r\n  20   5  -3 1857.79 814.121   7\r\n -20   5   3 2848.76 843.495   6\r\n  20   5  -2-1968.49 1189.54   7\r\n  20  -5   2 473.031 716.705   4\r\n -20   5   2-3053.65 1645.80   6\r\n -20  -5  -1 2967.66 1047.32   2\r\n  20   5  -1 2297.69 1307.83   7\r\n  20  -5   1 1518.87 1226.50   4\r\n -20   5   1 1970.23 1283.91   6\r\n  20   5  -1 1582.64 1492.22   4\r\n -20  -5   0 617.699 1022.77   2\r\n  20  -5   0 874.076 437.609   4\r\n -20   5   0-385.792 657.896   6\r\n  20   5   0 34.8193 1093.09   4\r\n -20   5  -1 2266.43 1504.06   3\r\n -20  -5   1 647.867 845.726   2\r\n  20  -5  -1-455.979 987.066   4\r\n -20   5  -1 2046.89 1287.85   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804.580   7\r\n  21   0   1 2072.55 1018.78   4\r\n -21   0   1 1364.99 1037.56   2\r\n  21   0  -1 1743.47 1117.35   4\r\n -21   0  -1 1283.25 738.295   6\r\n  21   0  -2 30.0389 478.399   7\r\n  21   0   2 740.992 987.344   4\r\n -21   0  -2 383.260 672.055   6\r\n -21   0   2-57.3919 1099.43   2\r\n  21   0  -2-171.483 948.651   4\r\n -21   0  -3 5183.70 2100.34   3\r\n  21   0  -3 5775.54 1109.35   5\r\n  21   0  -3 7393.63 1706.41   7\r\n  21   0   3 7786.77 1840.13   4\r\n -21   0  -3 5487.90 1469.65   6\r\n -21   0   3 6268.45 1783.16   2\r\n  21   0  -3 6374.05 1596.18   4\r\n -21   0  -4 2749.16 2345.42   3\r\n  21   0  -4 1540.85 1127.81   7\r\n  21   0   4 1815.38 1459.51   4\r\n -21   0  -4 2140.99 897.595   6\r\n -21   0   4 1722.32 1078.85   2\r\n -21  -1  -4-652.558 2498.31   3\r\n  21   1  -4 456.820 753.256   7\r\n  21  -1   4-73.2636 708.975   4\r\n -21   1   4-2051.06 1311.62   2\r\n  21   1  -3 1250.62 936.492   7\r\n  21  -1   3 1351.61 1051.32   4\r\n -21   1   3-1812.75 1058.13   2\r\n -21  -1  -3-628.529 783.388   6\r\n  21   1  -3-315.588 1160.71   4\r\n  21   1  -2 930.699 762.487   7\r\n  21  -1   2 1251.64 1096.69   4\r\n -21   1   2 429.782 605.720   2\r\n -21  -1  -2 1066.10 923.457   6\r\n -21   1   2 2278.90 953.040   6\r\n  21   1  -2 1546.20 1081.44   4\r\n  21   1  -1 3662.88 1085.86   7\r\n  21  -1   1 2589.33 1200.47   4\r\n -21   1   1 2692.25 1087.39   2\r\n -21  -1  -1 680.966 815.620   2\r\n -21   1   1 2199.24 1165.21   6\r\n -21  -1  -1 2529.95 1053.67   6\r\n  21   1  -1 1968.12 1027.18   4\r\n -21   1   0 420.834 682.712   2\r\n  21  -1   0 485.113 544.765   7\r\n  21  -1   0 922.474 744.749   4\r\n  21   1   0-447.531 614.971   4\r\n -21   1   0 1397.51 695.992   6\r\n -21  -1   0 627.543 694.132   2\r\n  21  -1  -1 1938.36 840.242   7\r\n  21   1   1 3950.23 1284.43   4\r\n  21  -1  -1 1771.99 946.956   4\r\n -21   1  -1 1624.18 1063.07   6\r\n -21  -1   1 2998.13 1173.79   2\r\n  21  -1  -2 2570.67 734.711   7\r\n  21   1   2 894.826 958.114   4\r\n -21   1  -2-131.638 779.246   6\r\n  21  -1  -2-11.2252 906.177   4\r\n -21  -1   2 922.551 890.683   2\r\n -21   1  -3 332.823 1352.10   3\r\n  21  -1  -3 288.277 709.100   5\r\n  21  -1  -3 1540.88 669.272   7\r\n  21   1   3-279.433 1303.04   4\r\n -21   1  -3-2023.72 1149.51   6\r\n -21  -1   3-1998.16 1152.79   2\r\n  21  -1  -3-995.841 940.295   4\r\n  21  -1  -4 902.852 562.376   5\r\n  21  -1  -4 2070.37 825.755   7\r\n -21   1  -4 1340.19 769.001   6\r\n -21  -1   4 2829.19 1043.82   2\r\n -21  -2  -4 3432.31 2265.13   3\r\n  21   2  -4 3165.80 1156.22   7\r\n  21  -2   4-388.525 1129.07   4\r\n -21   2   4 2397.06 852.058   2\r\n -21   2   4 2283.01 1156.90   6\r\n -21  -2  -3-765.126 1598.64   3\r\n  21   2  -3 515.072 744.689   7\r\n  21  -2   3-81.9419 1026.66   4\r\n -21   2   3 1568.63 957.475   2\r\n -21  -2  -3 366.566 403.368   6\r\n -21   2   3-1700.78 1407.80   6\r\n  21   2  -2 4013.23 1211.03   7\r\n  21  -2   2 4274.66 1462.55   4\r\n -21   2   2 6756.73 1652.55   2\r\n -21  -2  -2 7605.87 1288.46   2\r\n -21   2   2 6908.38 1636.85   6\r\n -21  -2  -2 7229.70 1586.00   6\r\n  21   2  -2 5129.71 1605.88   4\r\n  21  -2   1 2371.48 608.233   7\r\n  21   2  -1 2840.23 982.766   7\r\n  21  -2   1 3127.47 1097.80   4\r\n -21   2   1 485.003 1486.15   6\r\n -21  -2  -1 1485.03 863.648   2\r\n  21   2  -1 2109.47 1427.82   4\r\n  21  -2   0 1897.16 651.990   7\r\n  21  -2   0 877.954 799.387   4\r\n -21   2   0 1913.15 1135.00   6\r\n  21   2   0 1421.78 898.145   4\r\n -21  -2   0 511.227 862.551   2\r\n  21  -2  -1 2247.19 631.234   7\r\n  21  -2  -1 2395.36 975.446   4\r\n -21   2  -1 3051.14 1093.91   6\r\n  21   2   1 2117.84 1119.85   4\r\n -21  -2   1 2622.33 1238.82   2\r\n -21   2  -2 2921.07 1867.31   3\r\n  21  -2  -2 5807.19 1222.65   7\r\n  21   2   2 7303.00 1777.29   4\r\n -21   2  -2 5639.27 1472.64   6\r\n  21  -2  -2 4803.71 1198.01   4\r\n -21  -2   2 3615.91 1289.07   2\r\n -21  -2   3-572.266 1336.11   2\r\n -21   2  -3 136.254 1246.65   3\r\n  21  -2  -3 322.490 647.273   5\r\n  21  -2  -3-547.729 896.898   7\r\n  21   2   3-254.790 826.682   4\r\n -21   2  -3 2188.07 1152.08   6\r\n  21  -2  -3 70.9329 897.681   4\r\n -21  -2   4 827.300 1089.69   2\r\n  21  -2  -4 3316.83 946.047   5\r\n -21   2  -4 43.7140 1987.47   3\r\n  21  -2  -4 4816.89 1149.08   7\r\n -21   2  -4-736.576 981.580   6\r\n  21   2   4-58.0793 1365.87   4\r\n -21  -3  -3 2238.51 1801.46   3\r\n  21   3  -3 2742.41 1229.51   7\r\n  21  -3   3 1935.18 1209.19   4\r\n -21   3   3 4392.44 1282.33   6\r\n -21  -3  -3 2463.79 899.555   6\r\n  21   3  -2 447.155 843.970   7\r\n  21  -3   2-1486.83 1129.08   4\r\n -21  -3  -2 1794.69 789.856   2\r\n -21   3   2-827.997 1461.47   6\r\n  21   3  -2-2033.81 1125.46   4\r\n  21   3  -1 4704.88 1248.63   7\r\n  21  -3   1 5530.62 1430.69   4\r\n -21   3   1 7258.19 1703.83   6\r\n  21   3  -1 7459.61 2070.98   4\r\n -21  -3  -1 5607.43 1368.99   2\r\n  21  -3   0 3280.93 1163.15   4\r\n -21   3   0 5053.81 1487.80   6\r\n  21   3   0 3221.99 1368.47   4\r\n -21  -3   0 4073.32 1296.35   2\r\n -21  -3   1 6590.67 1626.94   2\r\n  21  -3  -1 5763.02 1318.22   4\r\n -21   3  -1 4884.15 1538.29   6\r\n  21   3   1 4867.57 1636.24   4\r\n -21  -3   2-84.7979 827.097   2\r\n -21   3  -2 1034.33 965.456   3\r\n  21  -3  -2 1295.84 474.099   7\r\n -21   3  -2 2958.15 1048.97   6\r\n  21   3   2 1342.32 1276.22   4\r\n  21  -3  -2-133.164 1014.28   4\r\n -21  -3   3 2608.06 1160.45   2\r\n -21   3  -3 3325.84 2027.55   3\r\n  21  -3  -3 3025.98 1200.82   5\r\n  21  -3  -3 2789.64 796.112   7\r\n -21   3  -3 1211.17 1397.93   6\r\n  21   3   3 1186.78 986.367   4\r\n -21  -4  -3 917.526 1179.22   3\r\n  21   4  -3 3616.48 1203.03   7\r\n  21  -4   3 617.019 902.061   4\r\n -21   4   3 1068.55 1002.20   6\r\n  21   4  -2 1379.35 1150.51   7\r\n -21   4   2-403.784 704.647   6\r\n -21  -4  -2-1307.31 841.349   2\r\n  21   4  -1 4102.71 1516.31   7\r\n  21  -4   1 3363.16 1140.35   4\r\n -21   4   1 4531.91 1341.93   6\r\n  21   4  -1 3869.70 1433.02   4\r\n -21  -4  -1 1167.57 934.889   2\r\n -21  -4   0 504.679 755.691   2\r\n  21  -4   0 314.790 654.193   4\r\n -21   4   0-1456.91 1267.07   6\r\n  21   4   0-620.867 997.818   4\r\n -21   4  -1 637.028 1054.10   3\r\n -21  -4   1 3574.82 1315.98   2\r\n  21  -4  -1 3091.08 1052.90   4\r\n -21   4  -1 887.296 1311.76   6\r\n  21   4   1 2335.92 1193.35   4\r\n -21  -4   2 693.245 899.902   2\r\n -21   4  -2 613.557 1264.32   3\r\n -21   4  -2 826.287 885.672   6\r\n  21  -4  -2 270.031 594.556   4\r\n  21   4   2 465.361 1099.14   4\r\n -21  -4   3 1833.71 964.243   2\r\n -21   4  -3 1097.82 1707.86   3\r\n  21  -4  -3 352.838 1224.01   5\r\n -21   4  -3 1347.16 1073.04   6\r\n  21   4   3 1988.61 1015.07   4\r\n  21  -5   2-171.351 793.671   4\r\n -21   5   2-1481.13 1135.70   6\r\n -21  -5  -1-1749.99 1094.29   2\r\n  21   5  -1 994.241 958.048   7\r\n  21  -5   1 531.918 847.509   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-22  -1   3 1389.22 1037.74   2\r\n  22  -1  -3 1763.71 1054.09   4\r\n  22  -1  -4 1186.41 520.346   5\r\n -22   1  -4 1359.01 1307.85   3\r\n  22  -1  -4 138.658 632.168   7\r\n  22   1   4 3007.55 1046.74   4\r\n -22   1  -4 2889.46 991.449   6\r\n -22  -1   4 950.189 688.253   2\r\n -22  -2  -3-623.840 1630.86   3\r\n  22   2  -3-257.561 937.851   7\r\n  22  -2   3 70.7048 1165.86   4\r\n -22   2   3 1259.30 1145.70   2\r\n -22  -2  -3 1714.31 938.087   6\r\n -22   2   3 2139.03 990.505   6\r\n -22   2   2-1759.56 1371.72   2\r\n  22   2  -2-339.898 1028.07   7\r\n  22  -2   2-607.388 946.988   4\r\n -22  -2  -2 317.641 740.614   2\r\n -22   2   2 1799.56 902.143   6\r\n -22  -2  -2-1374.45 918.119   6\r\n  22   2  -2 1230.26 1029.09   4\r\n  22  -2   1 1545.17 510.298   7\r\n  22   2  -1 871.797 955.475   7\r\n  22  -2   1 1004.03 858.876   4\r\n -22  -2  -1 306.554 720.214   2\r\n -22   2   1 1346.31 1141.12   6\r\n  22   2  -1 1376.24 989.511   4\r\n  22  -2   0 863.875 477.924  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983.484   4\r\n -22  -3  -2-154.238 809.907   2\r\n -22   3   2-29.8201 1185.47   6\r\n  22   3  -2-60.0408 849.290   4\r\n  22   3  -1 29.3460 900.859   7\r\n  22  -3   1-122.579 729.972   4\r\n -22   3   1-1656.16 1169.61   6\r\n -22  -3  -1 432.679 781.457   2\r\n  22   3  -1 532.919 1008.57   4\r\n  22  -3   0-409.342 783.093   4\r\n -22   3   0 839.050 539.311   6\r\n  22   3   0-1622.20 1175.33   4\r\n -22  -3   0-1097.49 814.990   2\r\n -22  -3   1 704.611 1118.72   2\r\n  22  -3  -1-2392.53 1141.36   4\r\n -22   3  -1-1267.97 993.984   6\r\n  22   3   1-1429.32 1142.02   4\r\n -22  -3   2 203.323 1076.63   2\r\n -22   3  -2 746.722 897.770   3\r\n -22   3  -2 356.841 491.946   6\r\n  22   3   2 1634.10 1111.67   4\r\n  22  -3  -2 837.557 626.909   4\r\n -22  -3   3 213.016 952.758   2\r\n -22   3  -3 2685.78 1424.70   3\r\n  22  -3  -3 3563.62 948.814   5\r\n -22   3  -3 2021.50 1110.37   6\r\n  22   3   3 777.601 1068.02   4\r\n  22   4  -2 38.0330 994.747   7\r\n  22  -4   2-522.700 1357.78   4\r\n -22   4   2-37.6055 930.936   6\r\n  22   4  -2 1040.43 1067.17   4\r\n  22   4  -1 258.699 873.154   7\r\n  22  -4   1-77.6776 1059.52   4\r\n -22   4   1 594.944 675.404   6\r\n  22   4  -1 147.600 978.052   4\r\n -22  -4  -1-2088.53 1042.84   2\r\n -22  -4   0-1631.94 1146.28   2\r\n  22  -4   0 166.930 395.498   4\r\n -22   4   0 384.145 744.909   6\r\n  22   4   0 716.968 1013.00   4\r\n -22  -4   1-753.505 842.955   2\r\n -22   4  -1-415.507 1474.30   3\r\n  22  -4  -1 617.643 908.610   4\r\n -22   4  -1 790.507 1215.81   6\r\n  22   4   1 2217.10 1261.04   4\r\n -22  -4   2 3579.90 1133.38   2\r\n -22   4  -2 1711.93 1403.70   3\r\n -22   4  -2 1320.06 1135.18   6\r\n  22   4   2 1321.67 1301.53   4\r\n -22  -5  -1-1321.37 936.405   2\r\n  22   5  -1 2999.75 1147.35   7\r\n  22  -5   1 956.586 956.618   4\r\n -22   5   1 2537.56 1279.03   6\r\n  22   5  -1-159.388 1251.50   4\r\n -22  -5   0-1311.09 976.562   2\r\n  22  -5   0-1912.41 1168.61   4\r\n -22   5   0-1088.43 998.953   6\r\n  22   5   0-1962.79 1496.57   4\r\n -22   5  -1-1282.29 906.915   3\r\n -22  -5   1-628.650 770.108   2\r\n -22   5  -1 1936.23 786.808   6\r\n  22   5   1 2117.82 1255.69   4\r\n  23   0   0 425.628 668.496   7\r\n -23   0   0 464.535 622.669   2\r\n  23   0   0 405.996 682.953   4\r\n -23   0   0 696.522 854.444   6\r\n  23   0  -1 897.154 656.772   7\r\n  23   0   1 931.073 1193.91   4\r\n -23   0   1 911.066 1026.87   2\r\n -23   0  -1 769.139 812.498   6\r\n  23   0  -1 678.257 948.326   4\r\n  23   0  -2-1479.60 882.470   7\r\n  23   0   2-1398.49 1404.01   4\r\n -23   0  -2-1263.77 977.046   6\r\n -23   0   2-149.771 1145.09   2\r\n  23   0  -2-125.118 657.758   4\r\n -23   0  -3 4632.54 2077.94   3\r\n  23   0  -3 4654.40 1312.52   7\r\n  23   0   3 4661.16 1617.60   4\r\n -23   0  -3 2331.99 1255.67   6\r\n -23   0   3 1446.80 1390.19   2\r\n  23   0  -3 6713.01 1550.35   4\r\n -23  -1  -3 1186.64 1574.45   3\r\n  23   1  -3 1075.52 1157.11  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1316.42   6\r\n  23  -1  -1 3527.48 1329.77   4\r\n -23  -1   1 4974.10 1481.16   2\r\n  23  -1  -2-634.787 706.925   7\r\n  23   1   2 893.336 1181.32   4\r\n -23   1  -2-2318.42 1289.18   6\r\n  23  -1  -2-558.095 782.167   4\r\n -23  -1   2-194.940 970.577   2\r\n -23   1  -2 958.104 1014.81   3\r\n -23   1  -3 1883.84 1736.61   3\r\n  23  -1  -3-1528.46 626.378   5\r\n  23  -1  -3 859.339 892.333   7\r\n  23   1   3 2332.91 1384.70   4\r\n -23   1  -3 3133.89 1227.52   6\r\n -23  -1   3 1750.43 1036.42   2\r\n  23  -1  -3 102.828 876.811   4\r\n -23  -2  -3 1813.37 1447.83   3\r\n  23   2  -3 578.602 1026.03   7\r\n  23  -2   3 1720.26 1057.25   4\r\n -23   2   3-314.810 672.943   2\r\n -23  -2  -3 251.684 294.281   6\r\n -23   2   3-1564.69 1142.04   6\r\n  23   2  -2 2392.17 1187.21   7\r\n  23  -2   2 3284.04 1292.36   4\r\n -23  -2  -2 3469.12 1136.66   2\r\n -23   2   2 4215.67 1844.38   6\r\n -23  -2  -2 3686.68 1190.49   6\r\n  23   2  -2 727.627 989.043   4\r\n  23   2  -1-47.0158 887.936   7\r\n  23  -2   1 2141.60 768.279   4\r\n -23  -2  -1 234.533 718.049   2\r\n -23   2   1 241.013 1031.58   6\r\n  23   2  -1-119.165 718.348   4\r\n  23  -2   0-29.4875 1032.23   4\r\n -23   2   0 594.775 1215.33   6\r\n  23   2   0-308.487 1298.70   4\r\n -23  -2   0 1754.90 1111.46   2\r\n  23  -2  -1 1490.39 493.736   7\r\n  23  -2  -1 1040.87 773.615   4\r\n  23   2   1 1427.10 948.855   4\r\n -23  -2   1 712.988 467.513   2\r\n -23   2  -2 3147.59 1781.05   3\r\n  23  -2  -2 5326.38 1095.99   7\r\n -23   2  -2 2303.12 1384.98   6\r\n  23   2   2 3181.00 1480.77   4\r\n  23  -2  -2 1749.48 1053.50   4\r\n -23  -2   2 4001.05 1391.84   2\r\n -23   2  -3 58.8408 1439.59   3\r\n  23  -2  -3 135.985 775.340   5\r\n  23  -2  -3 834.769 616.802   7\r\n -23   2  -3 759.294 547.249   6\r\n  23   2   3-348.225 1294.61   4\r\n  23  -2  -3-230.265 1098.14   4\r\n -23  -2   3 1525.51 736.901   2\r\n  23   3  -2 252.006 1316.40   7\r\n  23  -3   2 2350.41 1203.70   4\r\n -23   3   2 4333.82 1541.46   6\r\n  23   3  -2 4131.38 1310.89   4\r\n  23   3  -1 2459.56 1124.77   7\r\n  23  -3   1 3734.55 1181.81   4\r\n -23   3   1 1613.94 1421.88   6\r\n -23  -3  -1 2102.71 1223.95   2\r\n  23   3  -1 3056.98 1535.11   4\r\n  23  -3   0 2992.66 1204.11   4\r\n -23   3   0 2541.76 1086.86   6\r\n  23   3   0-416.516 1253.05   4\r\n -23  -3   0 1437.38 1073.23   2\r\n -23   3  -1 2945.06 1385.25   6\r\n  23  -3  -1 3215.77 1226.23   4\r\n  23   3   1 3343.68 1636.47   4\r\n -23  -3   1 6565.21 1452.40   2\r\n -23  -3   2 3078.15 1572.79   2\r\n -23   3  -2 2912.95 1784.36   3\r\n -23   3  -2 752.808 1100.04   6\r\n  23   3   2 2179.33 1316.00   4\r\n  23  -3  -2 2101.13 1031.39   4\r\n  23   4  -2 1264.65 833.778   7\r\n  23  -4   2 1860.84 828.187   4\r\n -23   4   2 780.041 642.617   6\r\n  23   4  -2 1032.39 1204.94   4\r\n  23   4  -1 363.626 977.114   7\r\n  23  -4   1 2818.76 1082.95   4\r\n -23   4   1 2305.66 1184.86   6\r\n -23  -4  -1-24.4480 308.686   2\r\n  23   4  -1 1750.30 1236.77   4\r\n -23  -4   0-97.3684 669.813   2\r\n  23  -4   0-605.785 828.281   4\r\n -23   4   0-930.190 1175.01   6\r\n  23   4   0-1552.62 1215.54   4\r\n -23  -4   1 956.525 731.592   2\r\n -23   4  -1-504.867 1914.93   3\r\n -23   4  -1 497.978 517.060   6\r\n  23  -4  -1 269.008 449.280   4\r\n  23   4   1 1173.18 1253.67   4\r\n -23  -4   2-1455.04 1169.54   2\r\n -23   4  -2-2039.16 1346.01   3\r\n -23   4  -2 721.653 539.593   6\r\n  23   4   2 721.205 1424.55   4\r\n  24   0   0 810.752 785.540   7\r\n -24   0   0-1892.05 1240.84   2\r\n  24   0   0 482.207 1013.67   4\r\n -24   0   0 1801.88 1042.34   6\r\n  24   0  -1 10025.9 1587.39   7\r\n  24   0   1 9820.84 1926.40   4\r\n -24   0   1 10757.8 1973.62   2\r\n -24   0  -1 7747.19 1928.57   6\r\n  24   0  -1 10825.0 2041.07   4\r\n -24   0   1 9524.86 2092.87   6\r\n  24   0  -2 3783.49 1283.16   7\r\n  24   0   2 2479.70 1231.23   4\r\n -24   0   2 5042.92 1679.47   2\r\n -24   0  -2 6242.84 1785.29   6\r\n  24   0  -2 7104.41 1673.04   4\r\n -24   0  -3-763.250 1754.22   3\r\n  24   0  -3 4903.85 1453.55   7\r\n  24   0   3 3957.84 1635.54   4\r\n -24   0  -3 2024.29 1268.57   6\r\n -24   0   3 4685.51 1727.36   2\r\n  24   0  -3 3808.25 1263.55   4\r\n -24  -1  -3 2534.23 1362.64   3\r\n  24   1  -3-221.769 769.418   7\r\n  24  -1   3 1024.92 1086.90   4\r\n -24   1   3-740.488 900.402   2\r\n -24  -1  -3-3059.28 1333.37   6\r\n -24   1   3-48.0706 389.432   6\r\n  24   1  -3 2218.98 1433.62   4\r\n  24   1  -2 3218.56 1124.13   7\r\n  24  -1   2 1941.22 1211.15   4\r\n -24   1   2 674.626 1190.44   2\r\n -24  -1  -2 4409.98 1442.87   6\r\n -24   1   2 4380.93 1665.37   6\r\n  24   1  -2 1841.77 1211.51   4\r\n  24   1  -1 2411.23 796.212   7\r\n  24  -1   1 420.034 401.430   7\r\n -24   1   1 1076.48 843.699   2\r\n -24  -1  -1-921.312 1020.40   2\r\n  24  -1   1 1239.51 1103.51   4\r\n -24   1   1 4004.32 1297.42   6\r\n -24  -1  -1-2218.76 1104.17   6\r\n  24   1  -1-649.983 660.710   4\r\n  24  -1   0 143.651 562.683   7\r\n  24   1   0 97.3935 624.166   7\r\n  24  -1   0 1208.67 1039.96   4\r\n -24  -1   0 994.036 830.939   2\r\n  24   1   0 300.627 1068.24   4\r\n -24   1   0-1584.74 1326.78   6\r\n  24  -1  -1-789.659 686.736   7\r\n  24   1   1-621.843 1381.20   4\r\n -24   1  -1 323.960 554.817   6\r\n  24  -1  -1 119.391 960.915   4\r\n -24  -1   1 547.740 861.594   2\r\n  24  -1  -2 3498.85 1041.31   7\r\n  24   1   2 1420.29 1442.75   4\r\n -24   1  -2 1605.76 1063.30   6\r\n -24  -1   2 1103.80 1428.68   2\r\n  24  -1  -2 2651.51 1189.56   4\r\n -24   1  -2 4712.65 1694.07   3\r\n -24   1  -3 2486.09 1360.48   3\r\n  24  -1  -3 1254.49 594.330   5\r\n  24  -1  -3 1943.84 1220.00   7\r\n  24   1   3 787.183 1207.72   4\r\n -24   1  -3 413.055 1118.85   6\r\n -24  -1   3-1016.73 1151.56   2\r\n  24  -1  -3 1363.87 946.010   4\r\n -24  -2  -2-405.646 706.333   2\r\n  24   2  -2-617.820 821.112   7\r\n  24  -2   2-30.5892 896.156   4\r\n -24   2   2 792.625 678.279   6\r\n -24  -2  -2-241.088 688.263   6\r\n  24   2  -2 1622.07 992.318   4\r\n  24   2  -1 1897.11 1086.53   7\r\n  24  -2   1 3230.25 1293.02   4\r\n -24  -2  -1 4197.11 1088.24   2\r\n -24   2   1 1991.55 1381.02   6\r\n  24   2  -1 3498.52 1484.32   4\r\n  24  -2   0 3972.83 1534.15   4\r\n -24   2   0 5573.96 1735.88   6\r\n -24  -2   0 2531.87 1415.33   2\r\n  24   2   0 4700.95 1399.70   4\r\n -24   2  -1 6228.82 1659.60   6\r\n  24  -2  -1 1976.03 1077.68   4\r\n  24   2   1 2971.31 1415.88   4\r\n -24  -2   1 3902.05 1155.23   2\r\n -24   2  -2-4103.76 2082.39   3\r\n -24   2  -2-522.118 964.959   6\r\n  24   2   2-2235.43 1614.87   4\r\n  24  -2  -2-2278.40 1071.72   4\r\n -24  -2   2-1373.10 1151.66   2\r\n  24   3  -2 4.79142 1130.36   7\r\n  24  -3   2 1253.55 922.446   4\r\n -24   3   2 1300.72 1280.23   6\r\n -24  -3  -2-246.851 660.819   6\r\n  24   3  -2 2874.35 1341.96   4\r\n  24   3  -1-220.260 1115.23   7\r\n  24  -3   1-434.601 861.131   4\r\n -24   3   1-479.427 1228.81   6\r\n -24  -3  -1 3352.81 1090.61   2\r\n  24   3  -1 925.242 1155.36   4\r\n  24  -3   0-456.330 647.929   4\r\n -24   3   0 575.027 863.447   6\r\n  24   3   0-1942.85 1242.76   4\r\n -24  -3   0-1929.02 1212.58   2\r\n -24   3  -1 2564.12 1247.69   6\r\n  24  -3  -1 870.191 762.466   4\r\n  24   3   1-190.573 1147.35   4\r\n -24  -3   1-61.9132 503.041   2\r\n -24   3  -2-2785.54 1430.49   3\r\n -24   3  -2 483.527 881.084   6\r\n  24   3   2-175.696 1291.38   4\r\n  24  -3  -2-1144.97 877.733   4\r\n -24  -3   2 1047.67 1226.59   2\r\n  24  -4   0 1979.39 1234.21   4\r\n -24   4   0 766.760 1240.53   6\r\n  24   4   0 1678.67 1596.15   4\r\n -24  -4   0 3311.35 1094.42   2\r\n  25   0   0-753.654 674.989   7\r\n -25   0   0 446.946 1004.96   2\r\n  25   0   0 1137.33 689.770   4\r\n -25   0   0-317.478 671.165   6\r\n  25   0  -1 2316.40 744.983   7\r\n -25   0   1 2085.75 1111.06   2\r\n  25   0   1 2045.63 1126.15   4\r\n -25   0  -1-519.726 1416.16   6\r\n -25   0   1-384.714 1194.69   6\r\n  25   0  -1-194.075 683.040   4\r\n  25   0  -2 1574.33 897.509   7\r\n  25   0   2 2155.85 1277.05   4\r\n -25   0   2 1674.24 986.641   2\r\n -25   0  -2 1790.24 1327.74   6\r\n  25   0  -2 3125.95 1444.31   4\r\n  25   1  -2 542.272 577.416   7\r\n -25   1   2 21.1153 950.071   2\r\n  25  -1   2-464.565 1212.32   4\r\n -25  -1  -2-1589.83 1202.23   6\r\n -25   1   2 2517.96 1196.83   6\r\n  25   1  -2 1015.49 1160.02   4\r\n -25   1   1 352.917 940.736   2\r\n  25   1  -1 1614.49 851.818   7\r\n -25  -1  -1 920.775 989.161   2\r\n  25  -1   1 524.926 1165.02   4\r\n -25   1   1 4584.27 1504.36   6\r\n -25  -1  -1 1229.15 977.822   6\r\n  25   1  -1 2577.57 1006.89   4\r\n  25   1   0-650.967 706.413   7\r\n -25  -1   0-690.250 798.017   2\r\n  25  -1   0 316.564 932.520   4\r\n -25   1   0 1840.23 1267.36   6\r\n  25   1   0-350.208 1262.34   4\r\n -25  -1   0 84.7675 1073.15   6\r\n  25  -1  -1 1047.77 892.942   7\r\n  25   1   1 2110.96 1297.93   4\r\n -25   1  -1 625.072 1072.71   6\r\n -25  -1   1-715.270 1270.01   2\r\n  25  -1  -1-1569.87 1649.02   4\r\n  25  -1  -2 1276.78 652.023   7\r\n  25   1   2 338.863 845.288   4\r\n -25   1  -2 559.420 1208.00   6\r\n -25  -1   2-2408.46 1405.24   2\r\n  25  -1  -2 1469.25 1040.08   4\r\n -25   1  -2-2294.25 1709.87   3\r\n  25   2  -1-1260.98 868.612   7\r\n  25  -2   1 2507.23 1119.54   4\r\n -25  -2  -1 3050.14 863.837   2\r\n -25   2   1 2618.28 1365.58   6\r\n -25  -2  -1 1000.29 756.601   6\r\n  25   2  -1 2289.10 1344.10   4\r\n  25   2   0 212.285 671.782   7\r\n  25  -2   0 968.171 967.722   4\r\n -25   2   0 422.010 484.941   6\r\n  25   2   0-184.243 939.809   4\r\n -25   2  -1 3997.17 1340.14   6\r\n  25  -2  -1 134.945 842.893   4\r\n  25   2   1 1824.22 1316.74   4\r\n -25  -2   1 1811.90 1008.79   2\r\n  25  -3   0-173.252 1208.25   4\r\n -25   3   0-983.789 1535.07   6\r\n  25   3   0-937.674 1729.89   4\r\n -25  -3   0 2087.53 1056.68   2\r\n -26   0   0 2748.76 1109.53   2\r\n  26   0   0 3181.49 997.010   7\r\n  26   0   0 1057.47 1028.08   4\r\n -26   0   0 4597.66 1631.72   6\r\n  26   0  -1 2061.68 1094.34   7\r\n  26   0   1 2056.43 815.460   7\r\n -26   0   1 3619.12 1204.38   2\r\n  26   0   1 2884.10 1409.94   4\r\n -26   0  -1 1549.27 1339.45   6\r\n -26   0   1 1308.48 1090.40   6\r\n  26   0  -1 3036.81 1194.05   4\r\n -26  -1  -1 663.278 1176.77   2\r\n  26   1  -1 1231.52 928.474   7\r\n  26  -1   1 1044.88 817.205   4\r\n -26   1   1 1028.04 1218.45   6\r\n -26  -1  -1 1737.14 1133.54   6\r\n  26   1  -1 2230.28 1328.23   4\r\n  26   1   0-598.694 1117.09   7\r\n -26  -1   0 2335.90 1060.67   2\r\n  26  -1   0 2962.50 916.814   4\r\n -26   1   0 1086.88 944.971   6\r\n  26   1   0-1151.24 1310.86   4\r\n -26  -1   0 909.743 1192.59   6\r\n -26  -1   1 1833.51 1151.73   2\r\n  26   1   1 3697.39 1229.16   4\r\n -26   1  -1 1098.80 930.025   6\r\n  26  -1  -1 2211.39 910.116   4\r\n   0   0   0    0.00    0.00   0\r\nTITL BIM-IV-R_MO in P2(1)2(1)2\r\nREM P2(1)2(1)2 (#18, found as P22(1)2(1) in -cba setting)\r\nCELL 0.71073  21.115285   7.784572   6.134271  90.0000  90.0000  90.0000\r\nZERR    2.00   0.001561   0.000638   0.000451   0.0000   0.0000   0.0000\r\nLATT -1\r\nSYMM -x,-y, z\r\nSYMM -x+1/2, y+1/2,-z\r\nSYMM  x+1/2,-y+1/2,-z\r\nSFAC C H N F S\r\nUNIT 44.00 40.00 4.00 4.00 2.00\r\nTREF\r\nHKLF 4\r\nEND\r\n;\r\n_shelx_hkl_checksum              56706\r\n####################################################################### \r\n# \r\n# This file contains crystal structure data downloaded from the \r\n# Cambridge Structural Database (CSD) hosted by the Cambridge \r\n# Crystallographic Data Centre (CCDC).\r\n# \r\n# Full information about CCDC data access policies and citation \r\n# guidelines are available at http://www.ccdc.cam.ac.uk/access/V1 \r\n# \r\n# Audit and citation data items may have been added by the CCDC. \r\n# Please retain this information to preserve the provenance of \r\n# this file and to allow appropriate attribution of the data. \r\n# \r\n#######################################################################\r\n\r\ndata_r080122c\r\n_audit_block_doi                 10.5517/ccthsqs\r\n_database_code_depnum_ccdc_archive 'CCDC 759956'\r\nloop_\r\n_citation_id\r\n_citation_doi\r\n_citation_year\r\n1 10.1039/C3NJ40909K 2013\r\n_audit_update_record             \r\n;\r\n2009-12-30 deposited with the CCDC.\t2020-08-10 downloaded from the CCDC.\r\n;\r\n#TrackingRef '3.cif'\r\n\r\n\r\n_audit_creation_method           SHELXL-97\r\n_chemical_name_systematic        \r\n;\r\n?\r\n;\r\n_chemical_name_common            ?\r\n_chemical_melting_point          ?\r\n_chemical_formula_moiety         ?\r\n_chemical_formula_sum            'C30 H20 S2'\r\n_chemical_formula_weight         444.58\r\n\r\nloop_\r\n_atom_type_symbol\r\n_atom_type_description\r\n_atom_type_scat_dispersion_real\r\n_atom_type_scat_dispersion_imag\r\n_atom_type_scat_source\r\nC C 0.0033 0.0016 'International Tables Vol C Tables 4.2.6.8 and 6.1.1.4'\r\nH H 0.0000 0.0000 'International Tables Vol C Tables 4.2.6.8 and 6.1.1.4'\r\nS S 0.1246 0.1234 'International Tables Vol C Tables 4.2.6.8 and 6.1.1.4'\r\n\r\n_symmetry_cell_setting           Monoclinic\r\n_symmetry_space_group_name_H-M   P2(1)/c\r\n\r\nloop_\r\n_symmetry_equiv_pos_as_xyz\r\n'x, y, z'\r\n'-x, y+1/2, -z+1/2'\r\n'-x, -y, -z'\r\n'x, -y-1/2, z-1/2'\r\n\r\n_cell_length_a                   6.1134(12)\r\n_cell_length_b                   12.529(3)\r\n_cell_length_c                   14.622(3)\r\n_cell_angle_alpha                90.00\r\n_cell_angle_beta                 92.51(3)\r\n_cell_angle_gamma                90.00\r\n_cell_volume                     1118.9(4)\r\n_cell_formula_units_Z            2\r\n_cell_measurement_temperature    113(2)\r\n_cell_measurement_reflns_used    3173\r\n_cell_measurement_theta_min      3.228\r\n_cell_measurement_theta_max      27.876\r\n\r\n_exptl_crystal_description       ?\r\n_exptl_crystal_colour            ?\r\n_exptl_crystal_size_max          0.12\r\n_exptl_crystal_size_mid          0.10\r\n_exptl_crystal_size_min          0.06\r\n_exptl_crystal_density_meas      ?\r\n_exptl_crystal_density_diffrn    1.320\r\n_exptl_crystal_density_method    'not measured'\r\n_exptl_crystal_F_000             464\r\n_exptl_absorpt_coefficient_mu    0.254\r\n_exptl_absorpt_correction_type   MULTI-SCAN\r\n_exptl_absorpt_correction_T_min  0.9702\r\n_exptl_absorpt_correction_T_max  0.9849\r\n_exptl_absorpt_process_details   crystalclear\r\n\r\n_exptl_special_details           \r\n;\r\n?\r\n;\r\n\r\n_diffrn_ambient_temperature      113(2)\r\n_diffrn_radiation_wavelength     0.71073\r\n_diffrn_radiation_type           MoK\\a\r\n_diffrn_radiation_source         'rotating anode'\r\n_diffrn_radiation_monochromator  confocal\r\n_diffrn_measurement_device_type  'rigaku saturn'\r\n_diffrn_measurement_method       '\\w scans'\r\n_diffrn_detector_area_resol_mean ?\r\n_diffrn_standards_number         0\r\n_diffrn_standards_interval_count 0\r\n_diffrn_standards_interval_time  0\r\n_diffrn_standards_decay_%        0\r\n_diffrn_reflns_number            11099\r\n_diffrn_reflns_av_R_equivalents  0.0382\r\n_diffrn_reflns_av_sigmaI/netI    0.0251\r\n_diffrn_reflns_limit_h_min       -7\r\n_diffrn_reflns_limit_h_max       7\r\n_diffrn_reflns_limit_k_min       -14\r\n_diffrn_reflns_limit_k_max       14\r\n_diffrn_reflns_limit_l_min       -17\r\n_diffrn_reflns_limit_l_max       17\r\n_diffrn_reflns_theta_min         3.23\r\n_diffrn_reflns_theta_max         25.02\r\n_reflns_number_total             1971\r\n_reflns_number_gt                1790\r\n_reflns_threshold_expression     >2sigma(I)\r\n\r\n_computing_data_collection       crystalclear\r\n_computing_cell_refinement       crystalclear\r\n_computing_data_reduction        crystalclear\r\n_computing_structure_solution    'SHELXS-97 (Sheldrick, 1990)'\r\n_computing_structure_refinement  'SHELXL-97 (Sheldrick, 1997)'\r\n_computing_molecular_graphics    'Bruker SHELXTL'\r\n_computing_publication_material  'Bruker SHELXTL'\r\n\r\n_refine_special_details          \r\n;\r\nRefinement of F^2^ against ALL reflections. The weighted R-factor wR and\r\ngoodness of fit S are based on F^2^, conventional R-factors R are based\r\non F, with F set to zero for negative F^2^. The threshold expression of\r\nF^2^ > 2sigma(F^2^) is used only for calculating R-factors(gt) etc. and is\r\nnot relevant to the choice of reflections for refinement. R-factors based\r\non F^2^ are statistically about twice as large as those based on F, and R-\r\nfactors based on ALL data will be even larger.\r\n;\r\n\r\n_refine_ls_structure_factor_coef Fsqd\r\n_refine_ls_matrix_type           full\r\n_refine_ls_weighting_scheme      calc\r\n_refine_ls_weighting_details     \r\n'calc w=1/[\\s^2^(Fo^2^)+(0.0608P)^2^+0.8557P] where P=(Fo^2^+2Fc^2^)/3'\r\n_atom_sites_solution_primary     direct\r\n_atom_sites_solution_secondary   difmap\r\n_atom_sites_solution_hydrogens   geom\r\n_refine_ls_hydrogen_treatment    CONSTR\r\n_refine_ls_extinction_method     none\r\n_refine_ls_extinction_coef       ?\r\n_refine_ls_number_reflns         1971\r\n_refine_ls_number_parameters     145\r\n_refine_ls_number_restraints     0\r\n_refine_ls_R_factor_all          0.0481\r\n_refine_ls_R_factor_gt           0.0444\r\n_refine_ls_wR_factor_ref         0.1179\r\n_refine_ls_wR_factor_gt          0.1151\r\n_refine_ls_goodness_of_fit_ref   1.103\r\n_refine_ls_restrained_S_all      1.103\r\n_refine_ls_shift/su_max          0.000\r\n_refine_ls_shift/su_mean         0.000\r\n\r\nloop_\r\n_atom_site_label\r\n_atom_site_type_symbol\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\n_atom_site_U_iso_or_equiv\r\n_atom_site_adp_type\r\n_atom_site_occupancy\r\n_atom_site_symmetry_multiplicity\r\n_atom_site_calc_flag\r\n_atom_site_refinement_flags\r\n_atom_site_disorder_assembly\r\n_atom_site_disorder_group\r\nS1 S 0.22534(8) 0.53581(4) 0.40313(3) 0.0216(2) Uani 1 1 d . . .\r\nC1 C 0.2657(3) 0.40127(16) 0.43257(14) 0.0207(5) Uani 1 1 d . . .\r\nC2 C 0.4304(3) 0.34219(17) 0.38299(13) 0.0215(5) Uani 1 1 d . . .\r\nC3 C 0.6212(3) 0.39254(18) 0.35633(14) 0.0232(5) Uani 1 1 d . . .\r\nH3 H 0.6457 0.4635 0.3723 0.028 Uiso 1 1 calc R . .\r\nC4 C 0.7740(4) 0.33929(19) 0.30674(14) 0.0277(5) Uani 1 1 d . . .\r\nH4 H 0.9004 0.3742 0.2899 0.033 Uiso 1 1 calc R . .\r\nC5 C 0.7388(4) 0.23372(19) 0.28209(15) 0.0310(5) Uani 1 1 d . . .\r\nH5 H 0.8413 0.1974 0.2487 0.037 Uiso 1 1 calc R . .\r\nC6 C 0.5497(4) 0.18253(18) 0.30750(15) 0.0297(5) Uani 1 1 d . . .\r\nH6 H 0.5262 0.1116 0.2909 0.036 Uiso 1 1 calc R . .\r\nC7 C 0.3956(4) 0.23536(17) 0.35712(15) 0.0256(5) Uani 1 1 d . . .\r\nH7 H 0.2691 0.2002 0.3733 0.031 Uiso 1 1 calc R . .\r\nC8 C 0.1249(3) 0.36778(16) 0.49696(14) 0.0194(4) Uani 1 1 d . . .\r\nC9 C 0.1156(3) 0.25999(16) 0.53958(13) 0.0208(5) Uani 1 1 d . . .\r\nC10 C 0.2961(4) 0.21768(18) 0.58838(14) 0.0256(5) Uani 1 1 d . . .\r\nH10 H 0.4259 0.2564 0.5934 0.031 Uiso 1 1 calc R . .\r\nC11 C 0.2837(4) 0.11852(19) 0.62939(15) 0.0302(5) Uani 1 1 d . . .\r\nH11 H 0.4047 0.0913 0.6624 0.036 Uiso 1 1 calc R . .\r\nC12 C 0.0938(4) 0.05990(18) 0.62164(16) 0.0307(5) Uani 1 1 d . . .\r\nH12 H 0.0870 -0.0073 0.6484 0.037 Uiso 1 1 calc R . .\r\nC13 C -0.0885(4) 0.10163(18) 0.57352(15) 0.0279(5) Uani 1 1 d . . .\r\nH13 H -0.2178 0.0625 0.5686 0.034 Uiso 1 1 calc R . .\r\nC14 C -0.0777(3) 0.20061(17) 0.53320(14) 0.0237(5) Uani 1 1 d . . .\r\nH14 H -0.2002 0.2282 0.5014 0.028 Uiso 1 1 calc R . .\r\nC15 C 0.0176(3) 0.54750(16) 0.47789(14) 0.0204(5) Uani 1 1 d . . .\r\n\r\nloop_\r\n_atom_site_aniso_label\r\n_atom_site_aniso_U_11\r\n_atom_site_aniso_U_22\r\n_atom_site_aniso_U_33\r\n_atom_site_aniso_U_23\r\n_atom_site_aniso_U_13\r\n_atom_site_aniso_U_12\r\nS1 0.0254(3) 0.0195(3) 0.0202(3) 0.00227(19) 0.0029(2) 0.0018(2)\r\nC1 0.0244(11) 0.0188(10) 0.0185(10) 0.0013(8) -0.0020(8) 0.0011(8)\r\nC2 0.0260(11) 0.0232(11) 0.0150(10) 0.0015(8) -0.0037(8) 0.0063(9)\r\nC3 0.0260(11) 0.0250(11) 0.0179(10) 0.0017(8) -0.0040(8) 0.0003(9)\r\nC4 0.0249(11) 0.0378(13) 0.0202(11) 0.0017(9) -0.0011(9) 0.0026(10)\r\nC5 0.0325(13) 0.0377(13) 0.0227(11) -0.0050(10) 0.0002(9) 0.0090(10)\r\nC6 0.0400(13) 0.0234(12) 0.0252(12) -0.0050(9) -0.0028(10) 0.0069(10)\r\nC7 0.0292(12) 0.0234(11) 0.0237(11) 0.0000(9) -0.0033(9) 0.0014(9)\r\nC8 0.0221(10) 0.0158(10) 0.0196(10) -0.0030(8) -0.0054(8) 0.0036(8)\r\nC9 0.0262(11) 0.0196(10) 0.0168(10) -0.0024(8) 0.0017(8) 0.0038(8)\r\nC10 0.0279(11) 0.0245(12) 0.0240(11) 0.0000(9) -0.0035(9) 0.0035(9)\r\nC11 0.0340(13) 0.0308(13) 0.0250(12) 0.0015(10) -0.0052(9) 0.0093(10)\r\nC12 0.0443(14) 0.0222(11) 0.0259(12) 0.0028(9) 0.0053(10) 0.0072(10)\r\nC13 0.0302(12) 0.0258(12) 0.0283(12) -0.0039(9) 0.0060(9) -0.0022(9)\r\nC14 0.0259(11) 0.0222(11) 0.0230(11) -0.0010(9) 0.0005(9) 0.0049(9)\r\nC15 0.0226(11) 0.0211(10) 0.0175(10) 0.0004(8) -0.0003(8) 0.0006(8)\r\n\r\n_geom_special_details            \r\n;\r\nAll esds (except the esd in the dihedral angle between two l.s. planes)\r\nare estimated using the full covariance matrix. The cell esds are taken\r\ninto account individually in the estimation of esds in distances, angles\r\nand torsion angles; correlations between esds in cell parameters are only\r\nused when they are defined by crystal symmetry. An approximate (isotropic)\r\ntreatment of cell esds is used for estimating esds involving l.s. planes.\r\n;\r\n\r\nloop_\r\n_geom_bond_atom_site_label_1\r\n_geom_bond_atom_site_label_2\r\n_geom_bond_distance\r\n_geom_bond_site_symmetry_2\r\n_geom_bond_publ_flag\r\nS1 C15 1.718(2) . ?\r\nS1 C1 1.755(2) . ?\r\nC1 C8 1.369(3) . ?\r\nC1 C2 1.467(3) . ?\r\nC2 C3 1.396(3) . ?\r\nC2 C7 1.405(3) . ?\r\nC3 C4 1.380(3) . ?\r\nC3 H3 0.9300 . ?\r\nC4 C5 1.385(3) . ?\r\nC4 H4 0.9300 . ?\r\nC5 C6 1.387(3) . ?\r\nC5 H5 0.9300 . ?\r\nC6 C7 1.383(3) . ?\r\nC6 H6 0.9300 . ?\r\nC7 H7 0.9300 . ?\r\nC8 C15 1.432(3) 3_566 ?\r\nC8 C9 1.490(3) . ?\r\nC9 C10 1.393(3) . ?\r\nC9 C14 1.396(3) . ?\r\nC10 C11 1.383(3) . ?\r\nC10 H10 0.9300 . ?\r\nC11 C12 1.374(3) . ?\r\nC11 H11 0.9300 . ?\r\nC12 C13 1.394(3) . ?\r\nC12 H12 0.9300 . ?\r\nC13 C14 1.376(3) . ?\r\nC13 H13 0.9300 . ?\r\nC14 H14 0.9300 . ?\r\nC15 C15 1.376(4) 3_566 ?\r\nC15 C8 1.431(3) 3_566 ?\r\n\r\nloop_\r\n_geom_angle_atom_site_label_1\r\n_geom_angle_atom_site_label_2\r\n_geom_angle_atom_site_label_3\r\n_geom_angle\r\n_geom_angle_site_symmetry_1\r\n_geom_angle_site_symmetry_3\r\n_geom_angle_publ_flag\r\nC15 S1 C1 91.47(10) . . ?\r\nC8 C1 C2 130.63(19) . . ?\r\nC8 C1 S1 112.17(15) . . ?\r\nC2 C1 S1 117.11(15) . . ?\r\nC3 C2 C7 118.3(2) . . ?\r\nC3 C2 C1 120.66(19) . . ?\r\nC7 C2 C1 121.0(2) . . ?\r\nC4 C3 C2 121.4(2) . . ?\r\nC4 C3 H3 119.3 . . ?\r\nC2 C3 H3 119.3 . . ?\r\nC3 C4 C5 119.8(2) . . ?\r\nC3 C4 H4 120.1 . . ?\r\nC5 C4 H4 120.1 . . ?\r\nC4 C5 C6 119.6(2) . . ?\r\nC4 C5 H5 120.2 . . ?\r\nC6 C5 H5 120.2 . . ?\r\nC7 C6 C5 120.9(2) . . ?\r\nC7 C6 H6 119.5 . . ?\r\nC5 C6 H6 119.5 . . ?\r\nC6 C7 C2 119.9(2) . . ?\r\nC6 C7 H7 120.0 . . ?\r\nC2 C7 H7 120.0 . . ?\r\nC1 C8 C15 110.95(18) . 3_566 ?\r\nC1 C8 C9 127.04(18) . . ?\r\nC15 C8 C9 121.99(18) 3_566 . ?\r\nC10 C9 C14 118.74(19) . . ?\r\nC10 C9 C8 121.03(19) . . ?\r\nC14 C9 C8 120.21(18) . . ?\r\nC11 C10 C9 120.5(2) . . ?\r\nC11 C10 H10 119.8 . . ?\r\nC9 C10 H10 119.8 . . ?\r\nC12 C11 C10 120.4(2) . . ?\r\nC12 C11 H11 119.8 . . ?\r\nC10 C11 H11 119.8 . . ?\r\nC11 C12 C13 119.7(2) . . ?\r\nC11 C12 H12 120.2 . . ?\r\nC13 C12 H12 120.2 . . ?\r\nC14 C13 C12 120.1(2) . . ?\r\nC14 C13 H13 119.9 . . ?\r\nC12 C13 H13 119.9 . . ?\r\nC13 C14 C9 120.5(2) . . ?\r\nC13 C14 H14 119.7 . . ?\r\nC9 C14 H14 119.7 . . ?\r\nC15 C15 C8 114.3(2) 3_566 3_566 ?\r\nC15 C15 S1 111.1(2) 3_566 . ?\r\nC8 C15 S1 134.59(16) 3_566 . ?\r\n\r\nloop_\r\n_geom_torsion_atom_site_label_1\r\n_geom_torsion_atom_site_label_2\r\n_geom_torsion_atom_site_label_3\r\n_geom_torsion_atom_site_label_4\r\n_geom_torsion\r\n_geom_torsion_site_symmetry_1\r\n_geom_torsion_site_symmetry_2\r\n_geom_torsion_site_symmetry_3\r\n_geom_torsion_site_symmetry_4\r\n_geom_torsion_publ_flag\r\nC15 S1 C1 C8 0.01(16) . . . . ?\r\nC15 S1 C1 C2 176.93(16) . . . . ?\r\nC8 C1 C2 C3 -148.4(2) . . . . ?\r\nS1 C1 C2 C3 35.3(2) . . . . ?\r\nC8 C1 C2 C7 34.8(3) . . . . ?\r\nS1 C1 C2 C7 -141.46(17) . . . . ?\r\nC7 C2 C3 C4 -0.7(3) . . . . ?\r\nC1 C2 C3 C4 -177.58(19) . . . . ?\r\nC2 C3 C4 C5 0.3(3) . . . . ?\r\nC3 C4 C5 C6 0.1(3) . . . . ?\r\nC4 C5 C6 C7 0.0(3) . . . . ?\r\nC5 C6 C7 C2 -0.4(3) . . . . ?\r\nC3 C2 C7 C6 0.8(3) . . . . ?\r\nC1 C2 C7 C6 177.63(19) . . . . ?\r\nC2 C1 C8 C15 -176.1(2) . . . 3_566 ?\r\nS1 C1 C8 C15 0.3(2) . . . 3_566 ?\r\nC2 C1 C8 C9 5.2(4) . . . . ?\r\nS1 C1 C8 C9 -178.39(16) . . . . ?\r\nC1 C8 C9 C10 59.3(3) . . . . ?\r\nC15 C8 C9 C10 -119.3(2) 3_566 . . . ?\r\nC1 C8 C9 C14 -122.4(2) . . . . ?\r\nC15 C8 C9 C14 59.0(3) 3_566 . . . ?\r\nC14 C9 C10 C11 0.2(3) . . . . ?\r\nC8 C9 C10 C11 178.52(19) . . . . ?\r\nC9 C10 C11 C12 0.7(3) . . . . ?\r\nC10 C11 C12 C13 -1.2(3) . . . . ?\r\nC11 C12 C13 C14 0.6(3) . . . . ?\r\nC12 C13 C14 C9 0.3(3) . . . . ?\r\nC10 C9 C14 C13 -0.7(3) . . . . ?\r\nC8 C9 C14 C13 -179.06(19) . . . . ?\r\nC1 S1 C15 C15 -0.3(2) . . . 3_566 ?\r\nC1 S1 C15 C8 -179.6(2) . . . 3_566 ?\r\n\r\n_diffrn_measured_fraction_theta_max 0.996\r\n_diffrn_reflns_theta_full        25.02\r\n_diffrn_measured_fraction_theta_full 0.996\r\n_refine_diff_density_max         1.100\r\n_refine_diff_density_min         -0.375\r\n_refine_diff_density_rms         0.055\r\n"
  },
  {
    "path": "doc/index.rst",
    "content": ".. PyXtal documentation master file, created by\n   sphinx-quickstart on Mon Aug 27 10:19:01 2018.\n   You can adapt this file completely to your liking, but it should at least\n   contain the root `toctree` directive.\n\n.. image:: ../images/512px_type1.png\n   :height: 512 px\n   :width: 903 px\n   :scale: 35 %\n   :alt: PyXtal\n   :align: center\n\nPyXtal\n============\n\nPyXtal (pronounced ``pie-crystal``) is an open source Python library for the\nab-initio generation of random crystal structures. It has the following features:\n\n- Generation of atomic structures for a given symmetry and stoichiometry (0-3D)\n- Generation of molecular crystals (1-3D) with the support of special Wyckoff positions\n- Internal support of ``cif`` file and many other formats via ``pymatgen`` or ``ASE``\n- Easy access to symmetry information (e.g., Wyckoff, site symmetry and international symbols)\n- X-ray diffraction analysis and its `online application <https://vxrd.physics.unlv.edu>`_\n- Structural manipulation via symmetry relation (both subgroup and supergroup)\n- Geometry optimization from built-in and external optimization methods\n\nThe current version is ``1.1.3`` at `GitHub <https://github.com/MaterSim/PyXtal>`_.\nIt is available for use under the MIT license. Expect updates upon request by\n`Qiang Zhu\\'s group <https://qzhu2017.github.io>`_ at the\nUniversity of North Carolina at Charlotte.\n\nPyXtal is an open source project. You are welcome to contribute it directly via\nthe `GitHub platform <https://github.com/MaterSim/PyXtal>`_ or send your\ncomments and suggestions to the `developer <https://qzhu2017.github.io>`_.\n\n\nA basic tutorial is provided below for common functions. Additionally, \ndocumentation and source code are provided for individual modules.\n\nFor an experienced Python user who are familiar with Jupyter notebook, you are\nalso encouraged to check out the following examples\n\n- `Atomic crystal <https://nbviewer.jupyter.org/github/MaterSim/PyXtal/blob/master/examples/tutorials_notebook/01_atomic_crystals.ipynb>`_\n- `Molecular crystal <https://nbviewer.jupyter.org/github/MaterSim/PyXtal/blob/master/examples/tutorials_notebook/02_molecular_crystals.ipynb>`_\n- `XRD <https://nbviewer.jupyter.org/github/MaterSim/PyXtal/blob/master/examples/tutorials_notebook/03_pxrd.ipynb>`_\n\nTutorial\n========================\n\n.. toctree::\n   Installation\n   COMMAND_MODE\n   Usage\n   Symmetry_representation\n   Background\n   Algorithm\n   Settings\n   :maxdepth: 2\n\nIndices and tables\n==================\n\n* :ref:`genindex`\n* :ref:`modindex`\n* :ref:`search`\n\nModules\n========================\n\n.. toctree::\n   :maxdepth: 4\n\n   pyxtal\n"
  },
  {
    "path": "doc/make.bat",
    "content": "@ECHO OFF\r\n\r\npushd %~dp0\r\n\r\nREM Command file for Sphinx documentation\r\n\r\nif \"%SPHINXBUILD%\" == \"\" (\r\n\tset SPHINXBUILD=sphinx-build\r\n)\r\nset SOURCEDIR=.\r\nset BUILDDIR=_build\r\nset SPHINXPROJ=PyXtal\r\n\r\nif \"%1\" == \"\" goto help\r\n\r\n%SPHINXBUILD% >NUL 2>NUL\r\nif errorlevel 9009 (\r\n\techo.\r\n\techo.The 'sphinx-build' command was not found. Make sure you have Sphinx\r\n\techo.installed, then set the SPHINXBUILD environment variable to point\r\n\techo.to the full path of the 'sphinx-build' executable. Alternatively you\r\n\techo.may add the Sphinx directory to PATH.\r\n\techo.\r\n\techo.If you don't have Sphinx installed, grab it from\r\n\techo.http://sphinx-doc.org/\r\n\texit /b 1\r\n)\r\n\r\n%SPHINXBUILD% -M %1 %SOURCEDIR% %BUILDDIR% %SPHINXOPTS%\r\ngoto end\r\n\r\n:help\r\n%SPHINXBUILD% -M help %SOURCEDIR% %BUILDDIR% %SPHINXOPTS%\r\n\r\n:end\r\npopd\r\n"
  },
  {
    "path": "doc/modules.rst",
    "content": "pyxtal\n======\n\n.. toctree::\n   :maxdepth: 4\n\n   pyxtal\n"
  },
  {
    "path": "doc/pyxtal.XRD.rst",
    "content": "pyxtal.XRD module\n=================\n\n.. automodule:: pyxtal.XRD\n   :members:\n   :undoc-members:\n   :show-inheritance:\n"
  },
  {
    "path": "doc/pyxtal.block_crystal.rst",
    "content": "pyxtal.block\\_crystal module\n============================\n\n.. automodule:: pyxtal.block_crystal\n   :members:\n   :undoc-members:\n   :show-inheritance:\n"
  },
  {
    "path": "doc/pyxtal.constants.rst",
    "content": "pyxtal.constants module\n=======================\n\n.. automodule:: pyxtal.constants\n   :members:\n   :undoc-members:\n   :show-inheritance:\n"
  },
  {
    "path": "doc/pyxtal.crystal.rst",
    "content": "pyxtal.crystal module\n=====================\n\n.. automodule:: pyxtal.crystal\n   :members:\n   :undoc-members:\n   :show-inheritance:\n"
  },
  {
    "path": "doc/pyxtal.database.cifs.rst",
    "content": "pyxtal.database.cifs package\n============================\n\n.. automodule:: pyxtal.database.cifs\n   :members:\n   :undoc-members:\n   :show-inheritance:\n"
  },
  {
    "path": "doc/pyxtal.database.collection.rst",
    "content": "pyxtal.database.collection module\n=================================\n\n.. automodule:: pyxtal.database.collection\n   :members:\n   :undoc-members:\n   :show-inheritance:\n"
  },
  {
    "path": "doc/pyxtal.database.element.rst",
    "content": "pyxtal.database.element module\n==============================\n\n.. automodule:: pyxtal.database.element\n   :members:\n   :undoc-members:\n   :show-inheritance:\n"
  },
  {
    "path": "doc/pyxtal.database.rst",
    "content": "pyxtal.database package\n=======================\n\n.. automodule:: pyxtal.database\n   :members:\n   :undoc-members:\n   :show-inheritance:\n\nSubpackages\n-----------\n\n.. toctree::\n   :maxdepth: 4\n\n   pyxtal.database.cifs\n\nSubmodules\n----------\n\n.. toctree::\n   :maxdepth: 4\n\n   pyxtal.database.collection\n   pyxtal.database.element\n"
  },
  {
    "path": "doc/pyxtal.db.rst",
    "content": "pyxtal.db module\n================\n\n.. automodule:: pyxtal.db\n   :members:\n   :undoc-members:\n   :show-inheritance:\n"
  },
  {
    "path": "doc/pyxtal.descriptor.rst",
    "content": "pyxtal.descriptor module\n========================\n\n.. automodule:: pyxtal.descriptor\n   :members:\n   :undoc-members:\n   :show-inheritance:\n"
  },
  {
    "path": "doc/pyxtal.elasticity.rst",
    "content": "pyxtal.elasticity module\n========================\n\n.. automodule:: pyxtal.elasticity\n   :members:\n   :undoc-members:\n   :show-inheritance:\n"
  },
  {
    "path": "doc/pyxtal.interface.LJ.rst",
    "content": "pyxtal.interface.LJ module\n==========================\n\n.. automodule:: pyxtal.interface.LJ\n   :members:\n   :undoc-members:\n   :show-inheritance:\n"
  },
  {
    "path": "doc/pyxtal.interface.ase_opt.rst",
    "content": "pyxtal.interface.ase_opt module\n===============================\n\n.. automodule:: pyxtal.interface.ase_opt\n   :members:\n   :undoc-members:\n   :show-inheritance:\n"
  },
  {
    "path": "doc/pyxtal.interface.charmm.rst",
    "content": "pyxtal.interface.charmm module\n==============================\n\n.. automodule:: pyxtal.interface.charmm\n   :members:\n   :undoc-members:\n   :show-inheritance:\n"
  },
  {
    "path": "doc/pyxtal.interface.dftb.rst",
    "content": "pyxtal.interface.dftb module\n============================\n\n.. automodule:: pyxtal.interface.dftb\n   :members:\n   :undoc-members:\n   :show-inheritance:\n"
  },
  {
    "path": "doc/pyxtal.interface.gulp.rst",
    "content": "pyxtal.interface.gulp module\n============================\n\n.. automodule:: pyxtal.interface.gulp\n   :members:\n   :undoc-members:\n   :show-inheritance:\n"
  },
  {
    "path": "doc/pyxtal.interface.lammpslib.rst",
    "content": "pyxtal.interface.lammpslib module\n=================================\n\n.. automodule:: pyxtal.interface.lammpslib\n   :members:\n   :undoc-members:\n   :show-inheritance:\n"
  },
  {
    "path": "doc/pyxtal.interface.rst",
    "content": "pyxtal.interface package\n========================\n\n.. automodule:: pyxtal.interface\n   :members:\n   :undoc-members:\n   :show-inheritance:\n\nSubmodules\n----------\n\n.. toctree::\n   :maxdepth: 4\n\n   pyxtal.interface.LJ\n   pyxtal.interface.ase_opt\n   pyxtal.interface.charmm\n   pyxtal.interface.dftb\n   pyxtal.interface.gulp\n   pyxtal.interface.lammpslib\n   pyxtal.interface.vasp\n"
  },
  {
    "path": "doc/pyxtal.interface.vasp.rst",
    "content": "pyxtal.interface.vasp module\n============================\n\n.. automodule:: pyxtal.interface.vasp\n   :members:\n   :undoc-members:\n   :show-inheritance:\n"
  },
  {
    "path": "doc/pyxtal.io.rst",
    "content": "pyxtal.io module\n================\n\n.. automodule:: pyxtal.io\n   :members:\n   :undoc-members:\n   :show-inheritance:\n"
  },
  {
    "path": "doc/pyxtal.lattice.rst",
    "content": "pyxtal.lattice module\n=====================\n\n.. automodule:: pyxtal.lattice\n   :members:\n   :undoc-members:\n   :show-inheritance:\n"
  },
  {
    "path": "doc/pyxtal.lego.SO3.rst",
    "content": "pyxtal.lego.SO3 module\n==========================\n\n.. automodule:: pyxtal.lego.SO3\n   :members:\n   :undoc-members:\n   :show-inheritance:\n"
  },
  {
    "path": "doc/pyxtal.lego.basinhopping.rst",
    "content": "pyxtal.lego.basinhopping module\n===============================\n\n.. automodule:: pyxtal.lego.basinhopping\n   :members:\n   :undoc-members:\n   :show-inheritance:\n"
  },
  {
    "path": "doc/pyxtal.lego.builder.rst",
    "content": "pyxtal.lego.builder module\n==========================\n\n.. automodule:: pyxtal.lego.builder\n   :members:\n   :undoc-members:\n   :show-inheritance:\n"
  },
  {
    "path": "doc/pyxtal.lego.rst",
    "content": "pyxtal.lego package\n===================\n\n.. automodule:: pyxtal.lego\n   :members:\n   :undoc-members:\n   :show-inheritance:\n\nSubmodules\n----------\n\n.. toctree::\n   :maxdepth: 4\n\n   pyxtal.lego.builder\n   pyxtal.lego.SO3\n   pyxtal.lego.basinhopping\n"
  },
  {
    "path": "doc/pyxtal.molecular_crystal.rst",
    "content": "pyxtal.molecular\\_crystal module\n================================\n\n.. automodule:: pyxtal.molecular_crystal\n   :members:\n   :undoc-members:\n   :show-inheritance:\n"
  },
  {
    "path": "doc/pyxtal.molecule.rst",
    "content": "pyxtal.molecule module\n======================\n\n.. automodule:: pyxtal.molecule\n   :members:\n   :undoc-members:\n   :show-inheritance:\n"
  },
  {
    "path": "doc/pyxtal.msg.rst",
    "content": "pyxtal.msg module\n=================\n\n.. automodule:: pyxtal.msg\n   :members:\n   :undoc-members:\n   :show-inheritance:\n"
  },
  {
    "path": "doc/pyxtal.operations.rst",
    "content": "pyxtal.operations module\n========================\n\n.. automodule:: pyxtal.operations\n   :members:\n   :undoc-members:\n   :show-inheritance:\n"
  },
  {
    "path": "doc/pyxtal.optimize.DFS.rst",
    "content": "pyxtal.optimize.DFS module\n==========================\n\n.. automodule:: pyxtal.optimize.DFS\n   :members:\n   :undoc-members:\n   :show-inheritance:\n"
  },
  {
    "path": "doc/pyxtal.optimize.QRS.rst",
    "content": "pyxtal.optimize.QRS module\n==========================\n\n.. automodule:: pyxtal.optimize.QRS\n   :members:\n   :undoc-members:\n   :show-inheritance:\n"
  },
  {
    "path": "doc/pyxtal.optimize.WFS.rst",
    "content": "pyxtal.optimize.WFS module\n==========================\n\n.. automodule:: pyxtal.optimize.WFS\n   :members:\n   :undoc-members:\n   :show-inheritance:\n"
  },
  {
    "path": "doc/pyxtal.optimize.base.rst",
    "content": "pyxtal.optimize.base module\n===========================\n\n.. automodule:: pyxtal.optimize.base\n   :members:\n   :undoc-members:\n   :show-inheritance:\n"
  },
  {
    "path": "doc/pyxtal.optimize.benchmark.rst",
    "content": "pyxtal.optimize.benchmark module\n================================\n\n.. automodule:: pyxtal.optimize.benchmark\n   :members:\n   :undoc-members:\n   :show-inheritance:\n"
  },
  {
    "path": "doc/pyxtal.optimize.common.rst",
    "content": "pyxtal.optimize.common module\n=============================\n\n.. automodule:: pyxtal.optimize.common\n   :members:\n   :undoc-members:\n   :show-inheritance:\n"
  },
  {
    "path": "doc/pyxtal.optimize.rst",
    "content": "pyxtal.optimize package\n=======================\n\n.. automodule:: pyxtal.optimize\n   :members:\n   :undoc-members:\n   :show-inheritance:\n\nSubmodules\n----------\n\n.. toctree::\n   :maxdepth: 4\n\n   pyxtal.optimize.DFS\n   pyxtal.optimize.QRS\n   pyxtal.optimize.WFS\n   pyxtal.optimize.base\n   pyxtal.optimize.benchmark\n   pyxtal.optimize.common\n"
  },
  {
    "path": "doc/pyxtal.plane.rst",
    "content": "pyxtal.plane module\n===================\n\n.. automodule:: pyxtal.plane\n   :members:\n   :undoc-members:\n   :show-inheritance:\n"
  },
  {
    "path": "doc/pyxtal.potentials.LJ_cluster.rst",
    "content": "pyxtal.potentials.LJ\\_cluster module\n====================================\n\n.. automodule:: pyxtal.potentials.LJ_cluster\n   :members:\n   :undoc-members:\n   :show-inheritance:\n"
  },
  {
    "path": "doc/pyxtal.potentials.rst",
    "content": "pyxtal.potentials package\n=========================\n\n.. automodule:: pyxtal.potentials\n   :members:\n   :undoc-members:\n   :show-inheritance:\n\nSubmodules\n----------\n\n.. toctree::\n   :maxdepth: 4\n\n   pyxtal.potentials.LJ_cluster\n"
  },
  {
    "path": "doc/pyxtal.representation.rst",
    "content": "pyxtal.representation module\n============================\n\n.. automodule:: pyxtal.representation\n   :members:\n   :undoc-members:\n   :show-inheritance:\n"
  },
  {
    "path": "doc/pyxtal.rst",
    "content": "pyxtal package\n==============\n\n.. automodule:: pyxtal\n   :members:\n   :undoc-members:\n   :show-inheritance:\n\nSubpackages\n-----------\n\n.. toctree::\n   :maxdepth: 4\n\n   pyxtal.database\n   pyxtal.interface\n   pyxtal.lego\n   pyxtal.optimize\n   pyxtal.potentials\n\nSubmodules\n----------\n\n.. toctree::\n   :maxdepth: 4\n\n   pyxtal.XRD\n   pyxtal.block_crystal\n   pyxtal.constants\n   pyxtal.crystal\n   pyxtal.db\n   pyxtal.descriptor\n   pyxtal.elasticity\n   pyxtal.io\n   pyxtal.lattice\n   pyxtal.molecular_crystal\n   pyxtal.molecule\n   pyxtal.msg\n   pyxtal.operations\n   pyxtal.plane\n   pyxtal.representation\n   pyxtal.supergroup\n   pyxtal.symmetry\n   pyxtal.tolerance\n   pyxtal.util\n   pyxtal.version\n   pyxtal.viz\n   pyxtal.wyckoff_site\n   pyxtal.wyckoff_split\n"
  },
  {
    "path": "doc/pyxtal.supergroup.rst",
    "content": "pyxtal.supergroup module\n========================\n\n.. automodule:: pyxtal.supergroup\n   :members:\n   :undoc-members:\n   :show-inheritance:\n"
  },
  {
    "path": "doc/pyxtal.symmetry.rst",
    "content": "pyxtal.symmetry module\n======================\n\n.. automodule:: pyxtal.symmetry\n   :members:\n   :undoc-members:\n   :show-inheritance:\n"
  },
  {
    "path": "doc/pyxtal.tolerance.rst",
    "content": "pyxtal.tolerance module\n=======================\n\n.. automodule:: pyxtal.tolerance\n   :members:\n   :undoc-members:\n   :show-inheritance:\n"
  },
  {
    "path": "doc/pyxtal.util.rst",
    "content": "pyxtal.util module\n==================\n\n.. automodule:: pyxtal.util\n   :members:\n   :undoc-members:\n   :show-inheritance:\n"
  },
  {
    "path": "doc/pyxtal.version.rst",
    "content": "pyxtal.version module\n=====================\n\n.. automodule:: pyxtal.version\n   :members:\n   :undoc-members:\n   :show-inheritance:\n"
  },
  {
    "path": "doc/pyxtal.viz.rst",
    "content": "pyxtal.viz module\n=================\n\n.. automodule:: pyxtal.viz\n   :members:\n   :undoc-members:\n   :show-inheritance:\n"
  },
  {
    "path": "doc/pyxtal.wyckoff_site.rst",
    "content": "pyxtal.wyckoff\\_site module\n===========================\n\n.. automodule:: pyxtal.wyckoff_site\n   :members:\n   :undoc-members:\n   :show-inheritance:\n"
  },
  {
    "path": "doc/pyxtal.wyckoff_split.rst",
    "content": "pyxtal.wyckoff\\_split module\n============================\n\n.. automodule:: pyxtal.wyckoff_split\n   :members:\n   :undoc-members:\n   :show-inheritance:\n"
  },
  {
    "path": "doc/requirements.txt",
    "content": "pyxtal>=1.0.0\nspglib>=1.10.4\npymatgen>=2023.2.28\npandas>=2.0.2\nnetworkx>=2.3\nscipy>=1.7.3\nimportlib_metadata>=1.4\nase>=3.18.0\nsphinx_rtd_theme\npyocse>=0.1.1\ntoml\nmace\n"
  },
  {
    "path": "examples/README.md",
    "content": "# This is a collections of examples and tutorials to demonstrate how to use PyXtal\n```\n├── README.md\n├── example_01_3D_VASP.py   \n├── example_02_LJ_cluster.py\n├── example_03_LJ_optalg.py\n├── example_04_LJ_38.py\n├── example_05_LJ_4D.py\n├── example_06_C_2D_lammps.py\n├── example_07_3D_ICE_lammps.py\n└── tutorials_notebook\n    ├── 01_atomic_crystals.ipynb\n    └── 02_molecular_crystals.ipynb\n```\n\n# Installation\nExamples 06 and 07 require the installation of LAMMPS and GULP as follows\n\n### LAMMPS\ndownload the most recent version of lammps (e.g., `lammps-11Aug17`) from http://lammps.sandia.gov/download.html\n\n```\n$ tar -xf lammps-stable.tar.gz\n$ cd lammps-11Aug17/src\n$ make yes-class2\n$ make yes-kspace\n$ make yes-manybody\n$ make yes-molecule\n$ make yes-python\n$ make yes-rigid\n$ make yes-user-misc\n$ make mpi\n$ make mpi mode=shlib\n```\nIt works up to `LAMMPS (3 Mar 2020)`\nThis should create the file `liblammps_mpi.so` in the src directory, as well as a soft link liblammps.so, which is what the Python wrapper will load by default.\nThen one just need to add the path of src to the `.bashrc` file as follows,\n\n```\nexport LD_LIBRARY_PATH=${LD_LIBRARY_PATH}:/scratch/qzhu/soft/lammps/src #please modify the path if necessary\n```\nthen in lammps/src\n\n```\nmake install-python\n```\n\n### GULP\nDownload GULP from http://gulp.curtin.edu.au/gulp/\nAfter the installation, export the following environment variables\n```\n$ export PATH=/scratch/qzhu/pkgs/gulp-5.2/Src:$PATH\n$ export GULP_LIB=/scratch/qzhu/pkgs/gulp-5.2/Libraries\n```\n\n### Test\nTo test if it works correctly, run the following,\n```\n$ python test_installation.py \nPyXtal:  0.0.9\nase:  3.19.1\nUsing PyXtal to generate structure\nConvert PyXtal structure to ASE\nlaunch the LAMMPS calculator\n-5.348217915131606\nlaunch the GULP calculator\n-5.34821791\n```\n"
  },
  {
    "path": "examples/example_00_LJ_simple.py",
    "content": "\"\"\"This script:\n1. Generates random clusters\n2. Performs optimization using the Lennard-Jones potential\n\"\"\"\n\nfrom time import time\n\nimport numpy as np\nfrom scipy.optimize import minimize\nfrom scipy.spatial.distance import pdist\n\n\ndef lennard_jones_potential(pos, dim=3):\n    \"\"\"Calculate the total Lennard-Jones potential energy.\n\n    Args:\n        pos (np.ndarray): 1D array with N*dim numbers representing atomic positions\n        dim (int): Dimension of the space (default: 3)\n\n    Returns:\n        float: Total energy with punishing function\n    \"\"\"\n    N_atom = len(pos) // dim\n    pos = pos.reshape(N_atom, dim)\n\n    distance = pdist(pos)\n    r6 = distance**6\n    r12 = r6**2\n    return np.sum(4 * (1 / r12 - 1 / r6))\n\n\ndef lennard_jones_force(pos, dim=3):\n    \"\"\"Calculate the Lennard-Jones forces.\n\n    Args:\n        pos (np.ndarray): 1D array with N*dim numbers representing atomic positions\n        dim (int): Dimension of the space (default: 3)\n\n    Returns:\n        np.ndarray: 1D force array\n    \"\"\"\n    N_atom = len(pos) // dim\n    pos = pos.reshape(N_atom, dim)\n    force = np.zeros_like(pos)\n\n    for i, pos0 in enumerate(pos):\n        pos1 = np.delete(pos, i, axis=0)\n        r = pos1 - pos0\n        distance = np.linalg.norm(r, axis=1)\n        r2 = distance**2\n        r6 = r2**3\n        r12 = r6**2\n        force[i] = np.sum((48 / r12 - 24 / r6)[:, np.newaxis] * r / r2[:, np.newaxis], axis=0)\n\n    return force.flatten()\n\n\ndef optimize_cluster(pos):\n    \"\"\"Perform optimization for a given cluster.\n\n    Args:\n        pos (np.ndarray): N*dim array representing atomic positions\n\n    Returns:\n        tuple: (optimized energy, optimized positions)\n    \"\"\"\n    pos = pos.flatten()\n    res = minimize(lennard_jones_potential, pos, jac=lennard_jones_force, method=\"CG\", tol=1e-3)\n    optimized_pos = res.x.reshape(-1, 3)\n    optimized_energy = res.fun\n    return optimized_energy, optimized_pos\n\n\nif __name__ == \"__main__\":\n    N_ATOMS = 38\n    BOX_SIZE = 10\n    N_ITERATIONS = 20\n\n    rng = np.random.default_rng()\n\n    for i in range(N_ITERATIONS):\n        t0 = time()\n        initial_pos = BOX_SIZE * rng.random((N_ATOMS * 3,))\n        energy, optimized_pos = optimize_cluster(initial_pos)\n        print(f\"Iteration {i}: Energy = {energy:.6f}, Time = {time() - t0:.6f} s\")\n"
  },
  {
    "path": "examples/example_01_3D_VASP.py",
    "content": "\"\"\"\nThis script:\n1. Generates random crystal structures\n2. Performs multiple steps of optimization with ASE-VASP\n\nRequirements:\n- ASE must be installed\n- VASP must be callable from ASE\n\"\"\"\n\nimport warnings\nfrom time import time\nfrom typing import TYPE_CHECKING\n\nimport numpy as np\nfrom ase.db import connect\n\nfrom pyxtal import pyxtal\nfrom pyxtal.interface.vasp import optimize\n\nif TYPE_CHECKING:\n    from ase.atoms import Atoms\n\nwarnings.filterwarnings(\"ignore\")\n\nN_STRUCTURES: int = 10\nELEMENTS: dict[str, list[int]] = {\"C\": [2, 4]}\nOPTIMIZATION_LEVELS: list[int] = [0, 2]  # Add 3 if needed\nCALCULATION_DIR: str = \"Calc\"\nDB_FILENAME: str = \"C-VASP.db\"\n\nrng = np.random.default_rng()\n\n\ndef generate_random_crystal() -> pyxtal:\n    \"\"\"Generate a random crystal structure.\"\"\"\n    while True:\n        sg = rng.integers(2, 230)\n        species = []\n        num_ions = []\n        for ele, count in ELEMENTS.items():\n            species.append(ele)\n            if len(count) == 2:\n                num = rng.integers(count[0], count[1])\n                num_ions.append(num)\n            else:\n                num_ions.append(count[0])\n\n        crystal = pyxtal()\n        try:\n            crystal.from_random(3, sg, species, num_ions, force_pass=True)\n        except pyxtal.msg.Comp_CompatibilityError:\n            continue\n\n        if crystal.valid:\n            return crystal\n\n\ndef optimize_and_save(crystal: pyxtal, index: int) -> None:\n    \"\"\"Optimize the crystal structure and save results to database.\"\"\"\n    struc, energy, cputime, error = optimize(crystal, path=CALCULATION_DIR, levels=OPTIMIZATION_LEVELS)\n\n    if not error:\n        ase_atoms: Atoms = struc.to_ase()\n        energy_per_atom = energy / len(ase_atoms)\n        cputime_minutes = cputime / 60.0\n\n        with connect(DB_FILENAME) as db:\n            kvp = {\n                \"spg\": struc.group.symbol,\n                \"dft_energy\": energy_per_atom,\n            }\n            db.write(ase_atoms, key_value_pairs=kvp)\n\n        print(\n            f\"{index:3d} {crystal.group.symbol:12s} -> {struc.group.symbol:12s}\"\n            f\" {energy_per_atom:6.3f} eV/atom {cputime_minutes:6.2f} min\"\n        )\n\n\ndef main() -> None:\n    \"\"\"Main function to generate and optimize crystal structures.\"\"\"\n    for i in range(N_STRUCTURES):\n        t0 = time()\n        crystal = generate_random_crystal()\n        optimize_and_save(crystal, i)\n        print(f\"Total time for structure {i}: {time() - t0:.2f} s\")\n\n\nif __name__ == \"__main__\":\n    main()\n"
  },
  {
    "path": "examples/example_02_LJ_cluster.py",
    "content": "\"\"\"This is a script to:\n1, generate random clusters.\n2, perform optimization.\n3, compare the efficiency of different algos (CG, BFGS).\n\"\"\"\n\nimport logging\nimport warnings\nfrom optparse import OptionParser\n\nimport numpy as np\n\nfrom pyxtal import pyxtal\nfrom pyxtal.database.collection import Collection\nfrom pyxtal.optimize.myscipy_optimize import (\n    _minimize_bfgs,\n    _minimize_cg,\n    _minimize_tpgd,\n)\nfrom pyxtal.potentials.LJ_cluster import LJ, LJ_force\n\nwarnings.filterwarnings(\"ignore\")\nlogging.basicConfig(format=\"%(asctime)s :: %(message)s\", filename=\"results.log\", level=logging.INFO)\n\n\ndef single_optimize(pos, dim=3, kt=0.5, mu=0.1, beta=1.001, shift=False, method=\"mycg\"):\n    \"\"\"Perform optimization for a given cluster.\n\n    Args:\n        pos: N*dim0 array representing the atomic positions\n        dim: dimension of the hyper/normal space\n        kt: perturbation factors\n        mu: the weight for the punishing function\n        beta: the factor for the punishing function\n        shift: whether to shift the cluster to the center\n        method: the optimization method\n\n    output:\n        energy: optmized energy\n        pos: optimized positions\n        niter: number of iterations\n    \"\"\"\n    N_atom = len(pos)\n    pos = pos.flatten()\n    res = _minimize_tpgd(LJ, pos, args=(dim, mu, shift), jac=LJ_force, beta=beta, gtol=1e-4, maxiter=50)\n    niter = res.nit\n    pos = res.x\n    if method == \"mycg\":\n        res = _minimize_cg(LJ, pos, args=(dim, mu, shift), jac=LJ_force, beta=beta, gtol=1e-4)\n    elif method == \"mybfgs\":\n        res = _minimize_bfgs(LJ, pos, args=(dim, mu, shift), jac=LJ_force, beta=beta, gtol=1e-4)\n    elif method == \"mytpgd\":\n        res = _minimize_tpgd(LJ, pos, args=(dim, mu, shift), jac=LJ_force, beta=beta, gtol=1e-4)\n    niter += res.nit\n    energy = res.fun\n    pos = np.reshape(res.x, (N_atom, dim))\n    return energy, pos, niter\n\n\nclass LJ_prediction:\n    \"\"\"A class to perform global optimization on LJ clusters.\"\"\"\n\n    def __init__(self, numIons):\n        \"\"\"Initialize the class with the number of ions.\"\"\"\n        self.numIons = numIons\n        ref = Collection(\"clusters\")[str(numIons)]\n        print(f\"\\nReference for LJ {numIons:3d} is {ref[\"energy\"]:12.3f} eV, PG: {ref[\"pointgroup\"]:4s}\")\n\n        self.reference = ref\n\n    def generate_cluster(self, pgs: tuple[int, int], cluster_factor=0.6, seed=None):\n        \"\"\"Generate a random cluster with a given point group and number of ions.\"\"\"\n        rng = np.random.default_rng(seed)\n        run = True\n        while run:\n            pg = rng.integers(pgs)\n            cluster = pyxtal()\n            cluster.from_random(0, pg, [\"H\"], [self.numIons], cluster_factor)\n            if cluster.valid:\n                run = False\n        return cluster._get_coords_and_species(absolute=True)[0]\n\n    def predict(self, maxN: int = 100, ncpu: int = 2, pgs: tuple[int, int] = (2, 33)):\n        \"\"\"Predict the energy of LJ clusters.\"\"\"\n        cycle = range(maxN)\n        if ncpu > 1:\n            from functools import partial\n            from multiprocessing import Pool\n\n            with Pool(ncpu) as p:\n                func = partial(self.relaxation, pgs)\n                res = p.map(func, cycle)\n                p.close()\n                p.join()\n        else:\n            res = [self.relaxation(pgs) for _ in cycle]\n\n        return res\n\n    def relaxation(self, pgs: tuple[int, int], **kwargs):\n        \"\"\"Perform relaxation for a given cluster.\"\"\"\n        pos = self.generate_cluster(pgs)\n        res = []\n        for method in [\"mycg\", \"mybfgs\", \"mytpgd\"]:\n            pos1 = pos.copy()\n            energy1, pos1, it1 = single_optimize(pos1, method=method)\n            print(f\"Optmization {method:10s}  3D: {energy1:10.4f}  {it1:6d} \")\n            res.append([energy1, it1])\n        res = np.array(res)\n        return res.flatten()\n\n\nif __name__ == \"__main__\":\n    # -------------------------------- Options -------------------------\n    parser = OptionParser()\n    parser.add_option(\n        \"-n\",\n        \"--numIons\",\n        dest=\"numIons\",\n        default=16,\n        type=int,\n        help=\"desired numbers of atoms: 16\",\n    )\n    parser.add_option(\n        \"-m\",\n        \"--max\",\n        dest=\"max\",\n        default=100,\n        type=int,\n        help=\"maximum number of attempts\",\n    )\n    parser.add_option(\n        \"-p\",\n        \"--proc\",\n        dest=\"proc\",\n        default=1,\n        type=int,\n        help=\"number of processors, default 1\",\n    )\n\n    (options, args) = parser.parse_args()\n\n    N = options.numIons\n    maxN = options.max\n    ncpu = options.proc\n\n    lj_run = LJ_prediction(N)\n    res = lj_run.predict(maxN=maxN, ncpu=ncpu, pgs=[1])\n    res = np.array(res)\n    eng_min = lj_run.reference[\"energy\"]\n    eng_cg3, iter_cg3 = res[:, 0], res[:, 1]\n    eng_bf3, iter_bf3 = res[:, 2], res[:, 3]\n    eng_gd3, iter_gd3 = res[:, 4], res[:, 5]\n    iter_min, iter_max = np.min(res[:, [1, 3, 5]]), np.max(res[:, [1, 3, 5]])\n    ground_cg3 = len(eng_cg3[eng_cg3 - 1e-2 < eng_min])\n    ground_bf3 = len(eng_bf3[eng_bf3 - 1e-2 < eng_min])\n    ground_gd3 = len(eng_gd3[eng_gd3 - 1e-2 < eng_min])\n\n    import matplotlib.pyplot as plt\n    from matplotlib.gridspec import GridSpec\n\n    plt.switch_backend(\"agg\")\n    plt.style.use(\"bmh\")\n\n    e_max = eng_min * 0.87\n    bins_eng = np.linspace(eng_min - 0.1, e_max, 100)\n    bins_iter = np.linspace(iter_min, iter_max, 100)\n    fig = plt.figure(figsize=(10, 8))\n\n    gs = GridSpec(2, 2)\n    ax1 = fig.add_subplot(gs[0, 0])\n    ax2 = fig.add_subplot(gs[0, 1])\n\n    label1 = \"CG: \" + str(ground_cg3) + \"/\" + str(len(eng_cg3))\n    label2 = \"BFGS: \" + str(ground_bf3) + \"/\" + str(len(eng_bf3))\n    label3 = \"TPGD: \" + str(ground_gd3) + \"/\" + str(len(eng_gd3))\n    ax1.hist(eng_cg3, bins_eng, alpha=0.5, label=label1)\n    ax1.hist(eng_bf3, bins_eng, alpha=0.5, label=label2)\n    ax1.hist(eng_gd3, bins_eng, alpha=0.5, label=label3)\n    ax1.set_xlim([eng_min - 0.1, e_max])\n    ax1.set_xlabel(\"Energy (eV)\")\n    ax1.set_ylabel(\"Counts\")\n    ax1.legend()\n\n    label1 = \"CG: \" + str(ground_cg3) + \"/\" + str(len(eng_cg3))\n    label2 = \"BFGS: \" + str(ground_bf3) + \"/\" + str(len(eng_bf3))\n    label3 = \"TPGD: \" + str(ground_gd3) + \"/\" + str(len(eng_gd3))\n    ax2.hist(iter_cg3, bins_iter, alpha=0.5, label=label1)\n    ax2.hist(iter_bf3, bins_iter, alpha=0.5, label=label2)\n    ax2.hist(iter_gd3, bins_iter, alpha=0.5, label=label3)\n    ax2.set_xlabel(\"# of iterations\")\n    ax2.set_ylabel(\"Counts\")\n    ax2.legend()\n\n    ax3 = fig.add_subplot(gs[1, 0])\n    ax4 = fig.add_subplot(gs[1, 1])\n    x = np.linspace(eng_min, e_max, 10)\n\n    ax3.plot(x, x, \"k-\", lw=1)\n    ax3.scatter(eng_cg3, eng_bf3, c=iter_cg3 - iter_bf3, label=\"CG .v.s BFGS\", s=5)\n    ax3.set_xlabel(\"CG (eV)\")\n    ax3.set_ylabel(\"BFGS (eV)\")\n    ax3.set_xlim([eng_min - 0.1, e_max])\n    ax3.set_ylim([eng_min - 0.1, e_max])\n    ax3.legend()\n\n    ax4.plot(x, x, \"k-\", lw=1)\n    ax4.scatter(eng_cg3, eng_gd3, c=iter_cg3 - iter_gd3, label=\"CG .v.s TPGD\", s=5)\n    ax4.set_xlabel(\"CG (eV)\")\n    ax4.set_ylabel(\"BFGS (eV)\")\n    ax4.set_xlim([eng_min - 0.1, e_max])\n    ax4.set_ylim([eng_min - 0.1, e_max])\n    ax4.legend()\n    plt.tight_layout()\n    plt.savefig(\"LJ\" + str(N) + \"-\" + str(maxN) + \".png\")\n"
  },
  {
    "path": "examples/example_03_LJ_optalg.py",
    "content": "\"\"\"This is a script to:\n1, generate random clusters.\n2, perform optimization.\n3, compare the efficiency of different algos (CG, BFGS).\n\"\"\"\n\nimport logging\nimport warnings\nfrom copy import deepcopy\nfrom optparse import OptionParser\nfrom time import time\n\nimport matplotlib.pyplot as plt\nimport numpy as np\nfrom pymatgen.core import Molecule\nfrom scipy.optimize import minimize\nfrom scipy.spatial.distance import cdist, pdist\n\nfrom pyxtal import pyxtal\nfrom pyxtal.database.collection import Collection\nfrom pyxtal.molecule import PointGroupAnalyzer\n\nplt.switch_backend(\"agg\")\n\nwarnings.filterwarnings(\"ignore\")\nlogging.basicConfig(format=\"%(asctime)s :: %(message)s\", filename=\"results.log\", level=logging.INFO)\nplt.style.use(\"bmh\")\n\n\ndef LJ(pos, dim, mu=0.1):\n    \"\"\"Calculate the total energy.\n\n    Args:\n        pos: 1D array with N*dim numbers representing the atomic positions\n        dim: dimension of the hyper/normal space\n        mu: the weight for the punishing function\n\n    output\n        E: the total energy with punishing function\n    \"\"\"\n    N_atom = int(len(pos) / dim)\n    pos = np.reshape(pos, (N_atom, dim))\n\n    distance = pdist(pos)\n    r6 = np.power(distance, 6)\n    r12 = np.multiply(r6, r6)\n    Eng = np.sum(4 * (1 / r12 - 1 / r6))\n\n    if dim > 3:\n        norm = 0\n        for i in range(3, dim):\n            # diff = pos[:, i] - np.mean(pos[:, i])\n            diff = pos[:, i]\n            norm += np.sum(np.multiply(diff, diff))\n        Eng += 0.5 * mu * norm\n    return Eng\n\n\ndef LJ_force(pos, dim, mu=0.1):\n    \"\"\"Calculate LJ forces.\"\"\"\n    N_atom = int(len(pos) / dim)\n    pos = np.reshape(pos, [N_atom, dim])\n    force = np.zeros([N_atom, dim])\n    for i, pos0 in enumerate(pos):\n        pos1 = deepcopy(pos)\n        pos1 = np.delete(pos1, i, 0)\n        distance = cdist([pos0], pos1)\n        r = pos1 - pos0\n        r2 = np.power(distance, 2)\n        r6 = np.power(r2, 3)\n        r12 = np.power(r6, 2)\n        force[i] = np.dot((48 / r12 - 24 / r6) / r2, r)\n        # force from the punish function mu*sum([x-mean(x)]^2)\n        if dim > 3:\n            for j in range(3, dim):\n                # force[i, j] += mu*(pos[i, j] - np.mean(pos[:, j]))\n                force[i, j] += mu * pos[i, j]  # - np.mean(pos[:, j]))\n    return force.flatten()\n\n\ndef single_optimize(pos, dim=3, kt=0.5, mu=0.1, method=\"CG\", seed=None):\n    \"\"\"Perform optimization for a given cluster.\n\n    Args:\n        pos: N*dim0 array representing the atomic positions\n        dim: dimension of the hyper/normal space\n        kt: perturbation factors\n        mu: the weight for the punishing function\n        method: the optimization method\n        seed: random seed\n\n    output:\n        energy: optmized energy\n        pos: optimized positions\n    \"\"\"\n    rng = np.random.default_rng(seed)\n    N_atom = len(pos)\n    diff = dim - np.shape(pos)[1]\n    # if the input pos has less dimensions, we insert a random array for the extra dimension\n    # if the input pos has more dimensions, we delete the array for the extra dimension\n    if diff > 0:\n        pos = np.hstack((pos, 0.5 * (rng.random([N_atom, diff]) - 0.5)))\n    elif diff < 0:\n        pos = pos[:, :dim]\n\n    pos = pos.flatten()\n    res = minimize(LJ, pos, args=(dim, mu), jac=LJ_force, method=method, tol=1e-3)\n    pos = np.reshape(res.x, (N_atom, dim))\n    energy = res.fun\n    return energy, pos\n\n\ndef parse_symmetry(pos):\n    \"\"\"Parse the symmetry of a cluster.\"\"\"\n    mol = Molecule([\"C\"] * len(pos), pos)\n    try:\n        symbol = PointGroupAnalyzer(mol, tolerance=0.1).sch_symbol\n    except Exception:\n        symbol = \"N/A\"\n    return symbol\n\n\nclass LJ_prediction:\n    \"\"\"A class to perform global optimization on LJ clusters.\"\"\"\n\n    def __init__(self, numIons):\n        \"\"\"Initialize the class with the number of ions.\"\"\"\n        self.numIons = numIons\n        ref = Collection(\"clusters\")[str(numIons)]\n        print(f\"\\nReference for LJ {numIons:3d} is {ref[\"energy\"]:12.3f} eV, PG: {ref[\"pointgroup\"]:4s}\")\n        self.reference = ref\n        self.time0 = time()\n\n    def generate_cluster(self, pgs, cluster_factor=0.7, seed=None):\n        \"\"\"Generate a random cluster with a given point group and number of ions.\"\"\"\n        rng = np.random.default_rng(seed)\n        run = True\n        while run:\n            pg = rng.integers(pgs)\n            cluster = pyxtal()\n            cluster.from_random(0, pg, [\"Mo\"], [self.numIons], factor=cluster_factor)\n            if cluster.valid:\n                run = False\n        return cluster._get_coords_and_species(absolute=True)[0]\n\n    def predict(self, dim=3, maxN=100, ncpu=2, pgs=(2, 33), method=\"CG\"):\n        \"\"\"Predict the energy of LJ clusters.\"\"\"\n        print(f\"\\nPerforming random search at {dim:d}D space\\n\")\n        cycle = range(maxN)\n        if ncpu > 1:\n            from functools import partial\n            from multiprocessing import Pool\n\n            with Pool(ncpu) as p:\n                func = partial(self.relaxation, dim, pgs, method)\n                res = p.map(func, cycle)\n                p.close()\n                p.join()\n        else:\n            res = []\n            for i in cycle:\n                res.append(self.relaxation(dim, pgs, method, i))\n\n        N_success = 0\n        for dct in res:\n            if dct[\"ground\"]:\n                N_success += 1\n        print(f\"\\nHit the ground state {N_success:4d} times out of {maxN:4d} attempts\\n\")\n        return res\n\n    def relaxation(self, dim, pgs, method, ind):\n        \"\"\"Perform relaxation for a given cluster.\"\"\"\n        pos0 = self.generate_cluster(pgs)\n        pg0 = parse_symmetry(pos0)\n        pos1 = pos0.copy()\n        pos2 = pos0.copy()\n        [energy1, pos1] = single_optimize(pos1, 3, method=\"CG\")\n        [energy2, pos2] = single_optimize(pos2, 3, method=\"BFGS\")\n        ground1, ground2 = False, False\n        if abs(energy1 - self.reference[\"energy\"]) < 1e-3:\n            ground1 = True\n        if abs(energy2 - self.reference[\"energy\"]) < 1e-3:\n            ground2 = True\n\n        pg1 = parse_symmetry(pos1)\n        pg2 = parse_symmetry(pos2)\n        res = {\n            \"pos\": [pos0, pos1, pos2],\n            \"energy\": [energy1, energy2],\n            \"pg_init\": pg0,\n            \"pg_finial\": [pg1, pg2],\n            \"ground\": [ground1, ground2],\n            \"id\": ind,\n        }\n        if ground1 or ground2:\n            logging.info(\n                f\"ID: {ind:4d} PG initial: {pg0:4s} relaxed: {pg1:4s} {pg2:4s} \"\n                f\"Energy: {energy1:9.3f} {energy2:9.3f}++++++++\"\n            )\n        # elif ind%100 == 0:\n        print(f\"ID: {ind:4d} PG initial: {pg0:4s} relaxed: {pg1:4s} {pg2:4s} Energy: {energy1:9.3f} {energy2:9.3f}\")\n        return res\n\n\nif __name__ == \"__main__\":\n    # -------------------------------- Options -------------------------\n    parser = OptionParser()\n    parser.add_option(\n        \"-d\",\n        \"--dimension\",\n        dest=\"dim\",\n        metavar=\"dim\",\n        default=3,\n        type=int,\n        help=\"dimension, 3 or higher\",\n    )\n    parser.add_option(\n        \"-n\",\n        \"--numIons\",\n        dest=\"numIons\",\n        default=16,\n        type=int,\n        help=\"desired numbers of atoms: 16\",\n    )\n    parser.add_option(\n        \"-m\",\n        \"--max\",\n        dest=\"max\",\n        default=100,\n        type=int,\n        help=\"maximum number of attempts\",\n    )\n    parser.add_option(\n        \"-p\",\n        \"--proc\",\n        dest=\"proc\",\n        default=1,\n        type=int,\n        help=\"number of processors, default 1\",\n    )\n    parser.add_option(\n        \"-f\",\n        \"--factor\",\n        dest=\"cluster_factor\",\n        default=0.7,\n        type=float,\n        help=\"distance checking factor, default 0.7\",\n    )\n    parser.add_option(\n        \"-v\",\n        \"--volume\",\n        dest=\"volume_factor\",\n        default=1.0,\n        type=float,\n        help=\"volume factor, default 1.0\",\n    )\n\n    (options, args) = parser.parse_args()\n\n    N = options.numIons  # 38\n    maxN = options.max  # 1000\n    dim = options.dim  # 4\n    ncpu = options.proc\n    cluster_factor = options.cluster_factor\n    volume_factor = options.volume_factor\n\n    lj_run = LJ_prediction(N)\n    eng_min = lj_run.reference[\"energy\"]\n    t0 = time()\n    results1 = lj_run.predict(dim=dim, maxN=maxN, ncpu=ncpu, pgs=[1], method=\"CG\")\n    logging.info(\"-------------calculation is complete------------\")\n    ground1, ground2 = 0, 0\n    engs = []\n    for dct in results1:\n        if dct[\"ground\"][0]:\n            ground1 += 1\n        if dct[\"ground\"][1]:\n            ground2 += 1\n        engs.append(dct[\"energy\"])\n    engs = np.array(engs)\n    eng1 = engs[:, 0]\n    eng2 = engs[:, 1]\n    bins = np.linspace(eng_min - 0.1, eng_min + 20, 100)\n    label1 = \"3d CG: \" + str(ground1) + \"/\" + str(len(eng1))\n    label2 = \"3d BFGS: \" + str(ground2) + \"/\" + str(len(eng2))\n    print(label1)\n    print(label2)\n    plt.hist(eng1, bins, alpha=0.5, label=label1)\n    plt.hist(eng2, bins, alpha=0.5, label=label2)\n    plt.xlabel(\"Energy (eV)\")\n    plt.ylabel(\"Counts\")\n    plt.legend()\n    eng_min_str = f\"{eng_min:.2f}\"\n    plt.title(\"LJ\" + str(N) + \" Ground state: \" + eng_min_str)\n    plt.savefig(\"LJ\" + str(N) + \"-\" + str(maxN) + \"samples-hist.png\")\n    plt.close()\n    plt.scatter(eng1, eng2)\n    plt.xlabel(\"Energy from CG optimization\")\n    plt.ylabel(\"Energy from BFGS optimization\")\n    plt.xlim([eng_min - 0.1, -20])\n    plt.ylim([eng_min - 0.1, -20])\n    plt.savefig(\"LJ\" + str(N) + \"-\" + str(maxN) + \"samples-scatter.png\")\n    plt.close()\n"
  },
  {
    "path": "examples/example_04_LJ_38.py",
    "content": "\"\"\"This is a script to:\n1, generate random clusters.\n2, perform optimization.\n\"\"\"\n\nimport json\nimport warnings\nfrom copy import deepcopy\nfrom optparse import OptionParser\nfrom time import time\n\nimport matplotlib.pyplot as plt\nimport numpy as np\nfrom pymatgen.core import Molecule\nfrom scipy.optimize import minimize\nfrom scipy.spatial.distance import cdist, pdist\n\nfrom pyxtal import pyxtal\nfrom pyxtal.database.collection import Collection\nfrom pyxtal.molecule import PointGroupAnalyzer\n\nplt.style.use(\"bmh\")\nwarnings.filterwarnings(\"ignore\")\n\n\ndef LJ(pos, dim, mu=0.1):\n    \"\"\"Calculate the total energy.\n\n    Args:\n        pos: 1D array with N*dim numbers representing the atomic positions\n        dim: dimension of the hyper/normal space\n        mu: the weight for the punishing function\n\n    output\n        E: the total energy with punishing function\n    \"\"\"\n    N_atom = int(len(pos) / dim)\n    pos = np.reshape(pos, (N_atom, dim))\n\n    distance = pdist(pos)\n    r6 = np.power(distance, 6)\n    r12 = np.multiply(r6, r6)\n    Eng = np.sum(4 * (1 / r12 - 1 / r6))\n\n    if dim > 3:\n        norm = 0\n        for i in range(3, dim):\n            # diff = pos[:, i] - np.mean(pos[:, i])\n            diff = pos[:, i]\n            norm += np.sum(np.multiply(diff, diff))\n        Eng += 0.5 * mu * norm\n    return Eng\n\n\ndef LJ_force(pos, dim, mu=0.1):\n    \"\"\"Compute the LJ force on each atom.\"\"\"\n    N_atom = int(len(pos) / dim)\n    pos = np.reshape(pos, [N_atom, dim])\n    force = np.zeros([N_atom, dim])\n    for i, pos0 in enumerate(pos):\n        pos1 = deepcopy(pos)\n        pos1 = np.delete(pos1, i, 0)\n        distance = cdist([pos0], pos1)\n        r = pos1 - pos0\n        r2 = np.power(distance, 2)\n        r6 = np.power(r2, 3)\n        r12 = np.power(r6, 2)\n        force[i] = np.dot((48 / r12 - 24 / r6) / r2, r)\n        # force from the punish function mu*sum([x-mean(x)]^2)\n        if dim > 3:\n            for j in range(3, dim):\n                # force[i, j] += mu*(pos[i, j] - np.mean(pos[:, j]))\n                force[i, j] += mu * pos[i, j]  # - np.mean(pos[:, j]))\n    return force.flatten()\n\n\ndef single_optimize(pos, dim=3, kt=0.5, mu=0.1, seed=None):\n    \"\"\"Perform optimization for a given cluster.\n\n    Args:\n        pos: N*dim0 array representing the atomic positions\n        dim: dimension of the hyper/normal space\n        kt: perturbation factors\n        mu: the weight for the punishing function\n        seed: random seed\n\n    output:\n        energy: optmized energy\n        pos: optimized positions\n    \"\"\"\n    rng = np.random.default_rng(seed)\n    N_atom = len(pos)\n    diff = dim - np.shape(pos)[1]\n    # if the input pos has less dimensions, we insert a random array for the extra dimension\n    # if the input pos has more dimensions, we delete the array for the extra dimension\n    if diff > 0:\n        pos = np.hstack((pos, 0.5 * (rng.random([N_atom, diff]) - 0.5)))\n    elif diff < 0:\n        pos = pos[:, :dim]\n\n    pos = pos.flatten()\n    res = minimize(LJ, pos, args=(dim, mu), jac=LJ_force, method=\"CG\", tol=1e-3)\n    pos = np.reshape(res.x, (N_atom, dim))\n    energy = res.fun\n    return energy, pos\n\n\ndef parse_symmetry(pos):\n    \"\"\"Parse the symmetry of a cluster.\"\"\"\n    mol = Molecule([\"C\"] * len(pos), pos)\n    try:\n        symbol = PointGroupAnalyzer(mol, tolerance=0.1).sch_symbol\n    except Exception:\n        symbol = \"N/A\"\n    return symbol\n\n\nclass LJ_prediction:\n    \"\"\"A class to perform global optimization on LJ clusters.\"\"\"\n\n    def __init__(self, numIons):\n        \"\"\"Initialize the class with the number of ions.\"\"\"\n        self.numIons = numIons\n        ref = Collection(\"clusters\")[str(numIons)]\n        print(f\"\\nReference for LJ {numIons:3d} is {ref[\"energy\"]:12.3f} eV, PG: {ref[\"pointgroup\"]:4s}\")\n        self.reference = ref\n        self.time0 = time()\n\n    def generate_cluster(self, pgs, cluster_factor=1.0, seed=None):\n        \"\"\"Generate a random cluster with a given point group and number of ions.\"\"\"\n        rng = np.random.default_rng(seed)\n        run = True\n        while run:\n            pg = rng.integers(pgs)\n            cluster = pyxtal()\n            cluster.from_random(0, pg, [\"Mo\"], [self.numIons], factor=cluster_factor)\n            if cluster.valid:\n                run = False\n        return cluster.to_pymatgen().cart_coords\n\n    def predict(self, dim=3, maxN=100, ncpu=2, pgs=(2, 33)):\n        \"\"\"Perform random search to find the ground state.\"\"\"\n        print(f\"\\nPerforming random search at {dim:d}D space\\n\")\n        cycle = range(maxN)\n        if ncpu > 1:\n            from functools import partial\n            from multiprocessing import Pool\n\n            with Pool(ncpu) as p:\n                func = partial(self.relaxation, dim, pgs)\n                res = p.map(func, cycle)\n                p.close()\n                p.join()\n        else:\n            res = []\n            for i in cycle:\n                res.append(self.relaxation(dim, pgs, i))\n\n        N_success = 0\n        for dct in res:\n            if dct[\"ground\"]:\n                N_success += 1\n        print(f\"\\nHit the ground state {N_success:4d} times out of {maxN:4d} attempts\\n\")\n        return res\n\n    def relaxation(self, dim, pgs, ind):\n        \"\"\"Perform relaxation for a given cluster.\"\"\"\n        pos = self.generate_cluster(pgs)\n        pg1 = parse_symmetry(pos)\n        if dim == 3:\n            [energy, pos] = single_optimize(pos, 3)\n        else:\n            do = True\n            while do:\n                [energy1, pos1] = single_optimize(pos, 3)\n                [energy2, pos2] = single_optimize(pos1, dim)\n                [energy3, pos3] = single_optimize(pos2, 3)\n                # print(energy1, energy2, energy3)\n                if abs(energy3 - energy1) < 1e-3 or energy3 > energy1:\n                    pos = pos1\n                    energy = energy1\n                    do = False\n                    # print('stop')\n                else:\n                    pos = pos3\n        if abs(energy - self.reference[\"energy\"]) < 1e-3:\n            ground = True\n        elif energy < self.reference[\"energy\"]:\n            ground = True\n            print(\"    --- ENERGY LOWER THAN REFERENCE FOUND ---\")\n        else:\n            ground = False\n\n        pg2 = parse_symmetry(pos)\n        res = {\n            \"pos\": pos,\n            \"energy\": energy,\n            \"pg_init\": pg1,\n            \"pg_final\": pg2,\n            \"ground\": ground,\n            \"id\": ind,\n        }\n        if ground:\n            print(\n                f\"ID: {ind:4d} PG initial: {pg1:4s} relaxed: {pg2:4s} \"\n                f\"Energy: {energy:12.3f} Time: {(time() - self.time0) / 60:6.1f} ++++++\"\n            )\n        elif ind % 10 == 0:\n            print(\n                f\"ID: {ind:4d} PG initial: {pg1:4s} relaxed: {pg2:4s} \"\n                f\"Energy: {energy:12.3f} Time: {(time() - self.time0) / 60:6.1f} \"\n            )\n        return res\n\n\nif __name__ == \"__main__\":\n    # -------------------------------- Options -------------------------\n    parser = OptionParser()\n    parser.add_option(\n        \"-d\",\n        \"--dimension\",\n        dest=\"dim\",\n        metavar=\"dim\",\n        default=3,\n        type=int,\n        help=\"dimension, 3 or higher\",\n    )\n    parser.add_option(\n        \"-n\",\n        \"--numIons\",\n        dest=\"numIons\",\n        default=38,\n        type=int,\n        help=\"desired numbers of atoms: 16\",\n    )\n    parser.add_option(\n        \"-m\",\n        \"--max\",\n        dest=\"max\",\n        default=100,\n        type=int,\n        help=\"maximum number of attempts\",\n    )\n    parser.add_option(\n        \"-p\",\n        \"--proc\",\n        dest=\"proc\",\n        default=1,\n        type=int,\n        help=\"number of processors, default 1\",\n    )\n\n    (options, args) = parser.parse_args()\n\n    N = options.numIons  # 38\n    maxN = options.max  # 100\n    dim = options.dim  # 3\n    ncpu = options.proc\n\n    lj_run = LJ_prediction(N)\n    eng_min = lj_run.reference[\"energy\"]\n    t0 = time()\n    print(\"---No symmetry---\")\n    results1 = lj_run.predict(dim=dim, maxN=maxN, ncpu=ncpu, pgs=[1])\n    print(f\"time: {time() - t0:6.2f} seconds\")\n\n    print(\"---Random symmetry---\")\n    results2 = lj_run.predict(dim=dim, maxN=maxN, ncpu=ncpu, pgs=range(2, 33))\n    print(f\"time: {time() - t0:6.2f} seconds\")\n\n    # results3 and results4 would be used to compare structures with random symmetry\n    # to those only generated with a single chosen space group (in this case, Oh)\n    \"\"\"print(\"---Oh only---\")\n    results3 = lj_run.predict(dim=dim, maxN=maxN, ncpu=ncpu, pgs=[32])\n    print('time: {0:6.2f} seconds'.format(time()-t0))\n\n    print(\"---Random symmetry (not Oh)---\")\n    results4 = lj_run.predict(dim=dim, maxN=maxN, ncpu=ncpu, pgs=range(2, 32))\n    print('time: {0:6.2f} seconds'.format(time()-t0))\"\"\"\n\n    eng1 = []\n    eng2 = []\n\n    # eng3 = []\n    # eng4 = []\n\n    ground1 = 0\n    ground2 = 0\n\n    # ground3 = 0\n    # ground4 = 0\n\n    # Create a json-dump-able list of dictionaries to store (results1)\n    dictlist = []\n    # Store the energies and number of ground state occurences\n    for dct in results1:\n        if dct[\"ground\"]:\n            ground1 += 1\n        eng1.append(dct[\"energy\"])\n        dictlist.append(\n            {\n                \"pos\": [list(p) for p in dct[\"pos\"]],\n                \"energy\": dct[\"energy\"],\n                \"pg_init\": dct[\"pg_init\"],\n                \"pg_final\": dct[\"pg_final\"],\n                \"ground\": dct[\"ground\"],\n                \"id\": dct[\"id\"],\n            }\n        )\n    # Dump results to a json file\n    with open(str(N) + \"-\" + str(maxN) + \"-asymmetric.json\", \"w\") as f:\n        json.dump(dictlist, f)\n\n    # Create a json-dump-able list of dictionaries to store (results2)\n    dictlist = []\n    # Store the energies and number of ground state occurences\n    for dct in results2:\n        if dct[\"ground\"]:\n            ground2 += 1\n        eng2.append(dct[\"energy\"])\n        dictlist.append(\n            {\n                \"pos\": [list(p) for p in dct[\"pos\"]],\n                \"energy\": dct[\"energy\"],\n                \"pg_init\": dct[\"pg_init\"],\n                \"pg_final\": dct[\"pg_final\"],\n                \"ground\": dct[\"ground\"],\n                \"id\": dct[\"id\"],\n            }\n        )\n    # Dump results to a json file\n    with open(str(N) + \"-\" + str(maxN) + \"-symmetric.json\", \"w\") as f:\n        json.dump(dictlist, f)\n\n    # for dct in results3:\n    #     if dct['ground']:\n    #         ground3 += 1\n    #     eng3.append(dct['energy'])\n    # for dct in results4:\n    #     if dct['ground']:\n    #         ground4 += 1\n    #     eng4.append(dct['energy'])\n\n    eng1 = np.array(eng1)\n    eng2 = np.array(eng2)\n\n    # eng3 = np.array(eng3)\n    # eng4 = np.array(eng4)\n\n    eng_max = max([max(eng1), max(eng2)])\n    bins = np.linspace(eng_min - 0.1, 0.1, 100)\n    plt.hist(\n        eng1,\n        bins,\n        alpha=0.5,\n        label=\"no symmetry: \" + str(ground1) + \"/\" + str(len(eng1)),\n    )\n    plt.hist(\n        eng2,\n        bins,\n        alpha=0.5,\n        label=\"random point groups: \" + str(ground2) + \"/\" + str(len(eng2)),\n    )\n    plt.xlabel(\"Energy (eV)\")\n    plt.ylabel(\"Counts\")\n    plt.legend(loc=1)\n    plt.title(\"LJ cluster: \" + str(N) + \" Ground state: \" + str(eng_min))\n    plt.savefig(str(N) + \"-\" + str(maxN) + \"-\" + str(dim) + \".pdf\")\n    plt.close()\n\n    # eng_max = max([max(eng3), max(eng4)])\n    # bins = np.linspace(eng_min-0.1, 0.1, 100)\n    # plt.hist(eng3, bins, alpha=0.5, label=f\"Oh only: {ground3}/{len(eng3)}\")\n    # plt.hist(eng4, bins, alpha=0.5, label=f\"random point groups (excluding Oh): {ground4}/{len(eng3)}\")\n    # plt.xlabel('Energy (eV)')\n    # plt.ylabel('Counts')\n    # plt.legend(loc=1)\n    # plt.title('LJ cluster: ' + str(N) + ' Ground state: ' + str(eng_min))\n    # plt.savefig(str(N)+'-'+str(maxN)+'-'+str(dim)+'_single.pdf')\n    # plt.close()\n"
  },
  {
    "path": "examples/example_05_LJ_4D.py",
    "content": "import warnings\nfrom copy import deepcopy\nfrom optparse import OptionParser\nfrom time import time\n\nimport matplotlib.pyplot as plt\nimport numpy as np\nfrom pymatgen.core import Molecule\nfrom scipy.optimize import minimize\nfrom scipy.spatial.distance import cdist, pdist\n\nfrom pyxtal import pyxtal\nfrom pyxtal.database.collection import Collection\nfrom pyxtal.molecule import PointGroupAnalyzer\n\nplt.style.use(\"bmh\")\nwarnings.filterwarnings(\"ignore\")\n\n\"\"\"\nThis is a script to\n1, generate random clusters\n2, perform optimization\n\"\"\"\n\n\ndef LJ(pos, dim, mu=0.1):\n    \"\"\"Calculate the total energy.\n\n    Args:\n        pos: 1D array with N*dim numbers representing the atomic positions\n        dim: dimension of the hyper/normal space\n        mu: the weight for the punishing function\n\n    output\n        E: the total energy with punishing function\n    \"\"\"\n    N_atom = int(len(pos) / dim)\n    pos = np.reshape(pos, (N_atom, dim))\n\n    distance = pdist(pos)\n    r6 = np.power(distance, 6)\n    r12 = np.multiply(r6, r6)\n    Eng = np.sum(4 * (1 / r12 - 1 / r6))\n\n    if dim > 3:\n        norm = 0\n        for i in range(3, dim):\n            # diff = pos[:, i] - np.mean(pos[:, i])\n            diff = pos[:, i]\n            norm += np.sum(np.multiply(diff, diff))\n        Eng += 0.5 * mu * norm\n    return Eng\n\n\ndef LJ_force(pos, dim, mu=0.1):\n    \"\"\"Calculate LJ forces.\"\"\"\n    N_atom = int(len(pos) / dim)\n    pos = np.reshape(pos, [N_atom, dim])\n    force = np.zeros([N_atom, dim])\n    for i, pos0 in enumerate(pos):\n        pos1 = deepcopy(pos)\n        pos1 = np.delete(pos1, i, 0)\n        distance = cdist([pos0], pos1)\n        r = pos1 - pos0\n        r2 = np.power(distance, 2)\n        r6 = np.power(r2, 3)\n        r12 = np.power(r6, 2)\n        force[i] = np.dot((48 / r12 - 24 / r6) / r2, r)\n        # force from the punish function mu*sum([x-mean(x)]^2)\n        if dim > 3:\n            for j in range(3, dim):\n                # force[i, j] += mu*(pos[i, j] - np.mean(pos[:, j]))\n                force[i, j] += mu * pos[i, j]  # - np.mean(pos[:, j]))\n    return force.flatten()\n\n\ndef single_optimize(pos, dim=3, kt=0.5, mu=0.1):\n    \"\"\"Perform optimization for a given cluster.\n\n    Args:\n        pos: N*dim0 array representing the atomic positions\n        dim: dimension of the hyper/normal space\n        kt: perturbation factors\n        mu: the weight for the punishing function\n\n    output:\n        energy: optmized energy\n        pos: optimized positions\n    \"\"\"\n    N_atom = len(pos)\n    diff = dim - np.shape(pos)[1]\n    # if the input pos has less dimensions, we insert a random array for the extra dimension\n    # if the input pos has more dimensions, we delete the array for the extra dimension\n    if diff > 0:\n        pos = np.hstack((pos, 0.5 * (np.random.random([N_atom, diff]) - 0.5)))\n    elif diff < 0:\n        pos = pos[:, :dim]\n\n    pos = pos.flatten()\n    res = minimize(LJ, pos, args=(dim, mu), jac=LJ_force, method=\"CG\", tol=1e-3)\n    pos = np.reshape(res.x, (N_atom, dim))\n    energy = res.fun\n    return energy, pos\n\n\ndef parse_symmetry(pos):\n    \"\"\"Parse the symmetry of a cluster.\"\"\"\n    mol = Molecule([\"C\"] * len(pos), pos)\n    try:\n        symbol = PointGroupAnalyzer(mol, tolerance=0.1).sch_symbol\n    except Exception:\n        symbol = \"N/A\"\n    return symbol\n\n\nclass LJ_prediction:\n    \"\"\"A class to perform global optimization on LJ clusters.\"\"\"\n\n    def __init__(self, numIons):\n        \"\"\"Initialize the class with the number of ions.\"\"\"\n        self.numIons = numIons\n        ref = Collection(\"clusters\")[str(numIons)]\n        print(\"\\nReference for LJ {:3d} is {:12.3f} eV, PG: {:4s}\".format(numIons, ref[\"energy\"], ref[\"pointgroup\"]))\n        self.reference = ref\n        self.time0 = time()\n\n    def generate_cluster(self, pgs, cluster_factor=0.6, seed=None):\n        \"\"\"Generate a random cluster.\"\"\"\n        rng = np.random.default_rng(seed)\n        run = True\n        while run:\n            pg = rng.integers(pgs)\n            cluster = pyxtal()\n            cluster.from_random(0, pg, [\"H\"], [self.numIons], factor=cluster_factor)\n            if cluster.valid:\n                run = False\n        return cluster._get_coords_and_species(absolute=True)[0]\n\n    def predict(self, dim=3, maxN=100, ncpu=2, pgs=(2, 33)):\n        \"\"\"Perform global optimization.\"\"\"\n        print(f\"\\nPerforming random search at {dim:d}D space\\n\")\n        cycle = range(maxN)\n        if ncpu > 1:\n            from functools import partial\n            from multiprocessing import Pool\n\n            with Pool(ncpu) as p:\n                func = partial(self.relaxation, dim, pgs)\n                res = p.map(func, cycle)\n                p.close()\n                p.join()\n        else:\n            res = []\n            for i in cycle:\n                res.append(self.relaxation(dim, pgs, i))\n\n        N_success = 0\n        for dct in res:\n            if dct[\"ground\"]:\n                N_success += 1\n        print(f\"\\nHit the ground state {N_success:4d} times out of {maxN:4d} attempts\\n\")\n        return res\n\n    def relaxation(self, dim, pgs, ind):\n        \"\"\"Perform relaxation for a given cluster.\"\"\"\n        pos = self.generate_cluster(pgs)\n        pg1 = parse_symmetry(pos)\n        if dim == 3:\n            [energy, pos] = single_optimize(pos, 3)\n        else:\n            do = True\n            while do:\n                [energy1, pos1] = single_optimize(pos, 3)\n                [energy2, pos2] = single_optimize(pos1, dim)\n                [energy3, pos3] = single_optimize(pos2, 3)\n                # print(energy1, energy2, energy3)\n                if abs(energy3 - energy1) < 1e-3 or energy3 > energy1:\n                    pos = pos1\n                    energy = energy1\n                    do = False\n                    # print('stop')\n                else:\n                    pos = pos3\n\n        ground = abs(energy - self.reference[\"energy\"]) < 0.001\n\n        pg2 = parse_symmetry(pos)\n        res = {\n            \"pos\": pos,\n            \"energy\": energy,\n            \"pg_init\": pg1,\n            \"pg_finial\": pg2,\n            \"ground\": ground,\n            \"id\": ind,\n        }\n        if ground:\n            print(\n                f\"ID: {ind:4d} PG initial: {pg1:4s} relaxed: {pg2:4s} \"\n                f\"Energy: {energy:12.3f} Time: {(time() - self.time0) / 60:6.1f} ++++++\"\n            )\n        elif ind % 10 == 0:\n            print(\n                f\"ID: {ind:4d} PG initial: {pg1:4s} relaxed: {pg2:4s} \"\n                f\"Energy: {energy:12.3f} Time: {(time() - self.time0) / 60:6.1f} \"\n            )\n        return res\n\n\nif __name__ == \"__main__\":\n    # -------------------------------- Options -------------------------\n    parser = OptionParser()\n    parser.add_option(\n        \"-d\",\n        \"--dimension\",\n        dest=\"dim\",\n        metavar=\"dim\",\n        default=3,\n        type=int,\n        help=\"dimension, 3 or higher\",\n    )\n    parser.add_option(\n        \"-n\",\n        \"--numIons\",\n        dest=\"numIons\",\n        default=16,\n        type=int,\n        help=\"desired numbers of atoms: 16\",\n    )\n    parser.add_option(\n        \"-m\",\n        \"--max\",\n        dest=\"max\",\n        default=100,\n        type=int,\n        help=\"maximum number of attempts\",\n    )\n    parser.add_option(\n        \"-p\",\n        \"--proc\",\n        dest=\"proc\",\n        default=1,\n        type=int,\n        help=\"number of processors, default 1\",\n    )\n\n    (options, args) = parser.parse_args()\n\n    N = options.numIons  # 38\n    maxN = options.max  # 1000\n    dim = options.dim  # 4\n    ncpu = options.proc\n\n    lj_run = LJ_prediction(N)\n    eng_min = lj_run.reference[\"energy\"]\n    t0 = time()\n    results1 = lj_run.predict(dim=dim, maxN=maxN, ncpu=ncpu, pgs=[1])\n    print(f\"time: {time() - t0:6.2f} seconds\")\n    results2 = lj_run.predict(dim=dim, maxN=maxN, ncpu=ncpu, pgs=range(2, 33))\n    print(f\"time: {time() - t0:6.2f} seconds\")\n    eng1 = []\n    eng2 = []\n    ground1 = 0\n    ground2 = 0\n    for dct in results1:\n        if dct[\"ground\"]:\n            ground1 += 1\n        eng1.append(dct[\"energy\"])\n    for dct in results2:\n        if dct[\"ground\"]:\n            ground2 += 1\n        eng2.append(dct[\"energy\"])\n    eng1 = np.array(eng1)\n    eng2 = np.array(eng2)\n    bins = np.linspace(eng_min - 0.1, eng_min + 20, 100)\n    plt.hist(eng1, bins, alpha=0.5, label=\"no-sym: \" + str(ground1) + \"/\" + str(len(eng1)))\n    plt.hist(eng2, bins, alpha=0.5, label=\"sym: \" + str(ground2) + \"/\" + str(len(eng2)))\n    plt.xlabel(\"Energy (eV)\")\n    plt.ylabel(\"Counts\")\n    plt.legend(loc=1)\n    plt.title(\"LJ cluster: \" + str(N) + \" Ground state: \" + str(eng_min))\n    plt.savefig(str(N) + \"-\" + str(maxN) + \"-\" + str(dim) + \".png\")\n    plt.close()\n"
  },
  {
    "path": "examples/example_06_C_2D_lammps.py",
    "content": "import logging\nimport os\n\nimport numpy as np\nimport pymatgen.analysis.structure_matcher as sm\nfrom ase.db import connect\nfrom lammps import lammps\nfrom pymatgen.io.ase import AseAtomsAdaptor\n\nfrom pyxtal import pyxtal\nfrom pyxtal.interface.gulp import single_optimize as gulp_opt\nfrom pyxtal.interface.lammpslib import opt_lammpslib as lmp_opt\nfrom pyxtal.interface.lammpslib import run_lammpslib as lmp_run\n\n\ndef new_struc(db, s, eng):\n    \"\"\"Check if the structure is new.\"\"\"\n    s_pmg = AseAtomsAdaptor().get_structure(s)\n    for row in db.select():\n        ref = db.get_atoms(id=row.id)\n        if abs(eng - row.ff_energy) < 1e-2:\n            ref_pmg = AseAtomsAdaptor().get_structure(ref)\n            if sm.StructureMatcher().fit(s_pmg, ref_pmg):\n                return False\n    return True\n\n\nlog_file = \"06-results.log\"\nif os.path.exists(log_file):\n    os.remove(log_file)\n\nlogging.basicConfig(format=\"%(asctime)s| %(message)s\", filename=log_file, level=logging.INFO)\n\n\ncalc_folder = \"06-tmp/\"  # store tmp files for lammps and lasp\nfor folder in [calc_folder]:\n    if not os.path.exists(folder):\n        os.makedirs(folder)\n\nlammps_name = \"\"\ncomm = None\nlog_file = calc_folder + \"/lammps.log\"\ncmd_args = [\"-echo\", \"log\", \"-log\", log_file, \"-screen\", \"none\", \"-nocite\"]\nlmp = lammps(lammps_name, cmd_args, comm)\nparameters = [\n    \"mass * 1.\",\n    \"pair_style tersoff\",\n    \"pair_coeff * * SiCGe.tersoff C\",\n]\n\nmask = [1, 1, 0, 0, 0, 1]\n# Here we do plane groups\npgs = [3, 11, 12, 13, 23, 24, 25, 26, 49, 55, 56, 65, 69, 70, 73, 75]\n# pgs = [65, 69, 70, 73, 75] #[23, 24, 25, 26, 49, 55, 56]\n\nlogfile = calc_folder + \"/log\"\nfilename = \"06.db\"\nrng = np.random.default_rng()\nwith connect(filename) as db:\n    for i in range(100):\n        while True:\n            sg, numIons = rng.choice(pgs), rng.choice(range(3, 24))\n            struc = pyxtal()\n            struc.from_random(2, sg, [\"C\"], [numIons], thickness=0, force_pass=True)\n            if struc.valid:\n                ase_struc = struc.to_ase()\n                break\n        # s = ase_struc\n        # print(struc)\n        # relax the structure with multiple steps\n        s, eng = lmp_run(ase_struc, lmp, parameters, method=\"opt\", path=calc_folder)\n        s = lmp_opt(\n            s,\n            lmp,\n            parameters,\n            mask=mask,\n            logfile=logfile,\n            fmax=0.01,\n            path=calc_folder,\n            opt_cell=False,\n            steps=100,\n        )\n        s = lmp_opt(\n            s,\n            lmp,\n            parameters,\n            mask=mask,\n            logfile=logfile,\n            fmax=0.01,\n            path=calc_folder,\n            opt_cell=True,\n            steps=100,\n        )\n        s, eng = lmp_run(s, lmp, parameters, method=\"opt\", path=calc_folder)\n        s, eng, _, error = gulp_opt(s, ff=\"tersoff.lib\", path=calc_folder)\n        if not error:\n            # spg = get_symmetry_dataset(s, symprec=1e-1)['international']\n            struc1 = pyxtal()\n            struc1.from_seed(s)\n            spg = struc1.group.symbol\n            # print(struc1.lattice)\n            pos = s.get_positions()[:, 2]\n            thickness = max(pos) - min(pos)\n            new = new_struc(db, s, eng)\n            strs = (\n                f\"{i:4d} {eng / len(s):6.3f} eV/atom *{len(s):2d} {thickness:6.3f} \"\n                f\"{struc.group.symbol:10s}->{spg:10s} {new}\"\n            )\n            logging.info(strs)\n            print(strs)\n\n            if new_struc(db, s, eng / len(s)):\n                area = np.linalg.det(s.get_cell()[:2, :2]) / len(s)\n                kvp = {\n                    \"spg\": spg,\n                    \"ff_energy\": eng / len(s),\n                    \"thickness\": thickness,\n                    \"area\": area,\n                }\n                db.write(s, key_value_pairs=kvp)\n"
  },
  {
    "path": "examples/example_07_3D_ICE_lammps.py",
    "content": "import logging\nimport os\n\nimport numpy as np\nfrom ase.db import connect\nfrom lammps import lammps\nfrom spglib import get_symmetry_dataset\n\nfrom pyxtal import pyxtal\nfrom pyxtal.interface.lammpslib import opt_lammpslib as lmp_opt\nfrom pyxtal.interface.lammpslib import run_lammpslib as lmp_run\n\nlog_file = \"07-results.log\"\nlogging.basicConfig(format=\"%(asctime)s| %(message)s\", filename=log_file, level=logging.INFO)\n\ncalc_folder = \"07-tmp\"  # store tmp files for lammps and lasp\nfor folder in [calc_folder]:\n    if not os.path.exists(folder):\n        os.makedirs(folder)\n\nlammps_name = \"\"\ncomm = None\nlog_file = calc_folder + \"/lammps.log\"\ncmd_args = [\"-echo\", \"log\", \"-log\", log_file, \"-screen\", \"none\", \"-nocite\"]\nlmp = lammps(lammps_name, cmd_args, comm)\n\nparameters = [\n    \"atom_style full\",\n    \"pair_style      lj/cut/tip4p/long 1 2 1 1 0.278072379 17.007\",\n    \"bond_style      class2 \",\n    \"angle_style     harmonic\",\n    \"read_data \" + calc_folder + \"/data.lammps\",\n    \"kspace_style pppm/tip4p 0.0001\",\n    \"pair_coeff  2  2 0 0\",\n    \"pair_coeff  1  2 0 0\",\n    \"pair_coeff  1  1  0.000295147 5.96946\",\n]\n\nfilename = \"07.db\"\nlogfile = calc_folder + \"/log\"\nrng = np.random.default_rng()\nwith connect(filename) as db:\n    for i in range(100):\n        while True:\n            sg, numIons = rng.choice(range(3, 231)), rng.choice(range(4, 12))\n            struc = pyxtal(molecular=True)\n            struc.from_random(3, sg, [\"H2O\"], [numIons], force_pass=True)\n            if struc.valid:\n                break\n        s = struc.to_ase(resort=False)\n        # s, _ = lmp_run(s, lmp, parameters, molecule=True, method='opt', path=calc_folder)\n        s = lmp_opt(\n            s,\n            lmp,\n            parameters,\n            logfile=logfile,\n            molecule=True,\n            fmax=0.01,\n            path=calc_folder,\n            opt_cell=False,\n            a=0,\n            steps=100,\n        )\n        s = lmp_opt(\n            s,\n            lmp,\n            parameters,\n            logfile=logfile,\n            molecule=True,\n            fmax=0.01,\n            path=calc_folder,\n            opt_cell=True,\n            a=0,\n            steps=100,\n        )\n        s = lmp_opt(\n            s,\n            lmp,\n            parameters,\n            logfile=logfile,\n            molecule=True,\n            fmax=0.01,\n            path=calc_folder,\n            opt_cell=True,\n        )\n        s, _ = lmp_run(s, lmp, parameters, molecule=True, method=\"opt\", path=calc_folder)\n\n        Eng = s.get_potential_energy() * 96 / len(s) * 3\n        Vol = s.get_volume() / len(s) * 3\n        try:\n            spg = get_symmetry_dataset(s, symprec=1e-1)[\"international\"]\n        except Exception:\n            spg = \"P1\"\n        strs = f\"{i:4d} {Eng:6.3f} eV/atom {numIons:4d} {Vol:6.3f} A^3 {struc.group.symbol:10s}-->{spg:10s}\"\n        logging.info(strs)\n        print(strs)\n        permutation = np.argsort(s.numbers)\n        s = s[permutation]\n"
  },
  {
    "path": "examples/test_installation.py",
    "content": "# %%\nimport os\n\nimport ase\nfrom lammps import lammps\n\nfrom pyxtal import __version__ as pyxtal_version\nfrom pyxtal import pyxtal\nfrom pyxtal.interface.gulp import single_optimize as opt_gulp\nfrom pyxtal.interface.lammpslib import opt_lammpslib\n\nprint(\"PyXtal: \", pyxtal_version)\nprint(\"ase: \", ase.__version__)\n\n# %%\nprint(\"Using PyXtal to generate structure\")\nstruc = pyxtal()\nstruc.from_random(3, 227, [\"C\"], [8], sites=[[\"8a\"]])\nprint(struc)\nprint(\"Convert PyXtal structure to ASE\")\nase_struc = struc.to_ase()\n\ncalc_folder = \"tmp\"\n\nif not os.path.exists(calc_folder):\n    os.mkdir(calc_folder)\n\n# %%\nprint(\"launch the LAMMPS calculator\")\n# Set up lammps\nlammps_name = \"\"\ncomm = None\nlog_file = calc_folder + \"/lammps.log\"\ncmd_args = [\"-echo\", \"log\", \"-log\", log_file, \"-screen\", \"none\", \"-nocite\"]\nlmp = lammps(lammps_name, cmd_args, comm)\nparameters = [\n    \"mass * 1.\",\n    \"pair_style tersoff\",\n    \"pair_coeff * * SiCGe.tersoff C\",\n]\n\ns = opt_lammpslib(ase_struc, lmp, parameters, path=calc_folder, opt_cell=True)\nif abs(s.get_potential_energy()) < 1e-8:\n    cell = s.get_cell()\n    pos = s.get_scaled_positions()\n    s.set_cell(cell * 0.8)\n    s.set_scaled_positions(pos)\n    s = opt_lammpslib(ase_struc, lmp, parameters, path=calc_folder, opt_cell=True)\n\n# %%\nprint(\"launch the GULP calculator\")\ns, eng, time, error = opt_gulp(ase_struc, ff=\"tersoff.lib\", path=calc_folder, clean=False)\nprint(eng * sum(s.numIons))\n# s.to_ase().write('1.vasp', format='vasp', vasp5=True, direct=True)\n"
  },
  {
    "path": "examples/tutorials_notebook/01_atomic_crystals.ipynb",
    "content": "{\n \"cells\": [\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"# Tutorial 1: Atomic crystal module in PyXtal\\n\",\n    \"\\n\",\n    \"Source code: https://github.com/qzhu2017/PyXtal\\n\",\n    \"\\n\",\n    \"Created by Qiang Zhu (2020/11/23)\\n\",\n    \"\\n\",\n    \"Last updated: 2022/08/11\\n\",\n    \"\\n\",\n    \"More details can be found at the following [link](https://pyxtal.readthedocs.io/en/latest/)\\n\",\n    \"\\n\",\n    \"# 1.1 Generate a random atomic crystal\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 1,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"from pyxtal import pyxtal\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 2,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"\\n\",\n      \"------Crystal from random------\\n\",\n      \"Dimension: 3\\n\",\n      \"Composition: C8\\n\",\n      \"Group: F d -3 m:2 (227)\\n\",\n      \"  4.5200,   4.5200,   4.5200,  90.0000,  90.0000,  90.0000, cubic\\n\",\n      \"Wyckoff sites:\\n\",\n      \"\\t C @ [ 0.1250  0.1250  0.1250], WP [8a] Site [-433mm]\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"C1 = pyxtal()\\n\",\n    \"C1.from_random(3, 227, [\\\"C\\\"], [8])\\n\",\n    \"# Alternative, you can also generate the structure with pre-assigned sites\\n\",\n    \"# C1.from_random(3, 225, [\\\"C\\\"], [12], sites=[[\\\"4a\\\", \\\"8c\\\"]])\\n\",\n    \"\\n\",\n    \"print(C1)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 3,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"Wyckoff position 8a in space group 227 with site symmetry -4 33 mm\\n\",\n       \"1/8, 1/8, 1/8\\n\",\n       \"7/8, 3/8, 3/8\\n\",\n       \"1/8, 5/8, 5/8\\n\",\n       \"7/8, 7/8, 7/8\\n\",\n       \"5/8, 1/8, 5/8\\n\",\n       \"11/8, 3/8, 7/8\\n\",\n       \"5/8, 5/8, 1/8\\n\",\n       \"11/8, 7/8, 3/8\"\n      ]\n     },\n     \"execution_count\": 3,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"C1.atom_sites[0].wp\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 4,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"application/3dmoljs_load.v0\": \"<div id=\\\"3dmolviewer_16602228857854478\\\"  style=\\\"position: relative; width: 600px; height: 300px\\\">\\n        <p id=\\\"3dmolwarning_16602228857854478\\\" style=\\\"background-color:#ffcccc;color:black\\\">You appear to be running in JupyterLab (or JavaScript failed to load for some other reason).  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University of Nevada Las Vegas      #\\\\n#############################################################\\\\ndata_from_pyxtal\\\\n\\\\n_symmetry_space_group_name_H-M 'Fd-3m'\\\\n_symmetry_Int_Tables_number                  227\\\\n_symmetry_cell_setting                     cubic\\\\n_cell_length_a            4.520030\\\\n_cell_length_b            4.520030\\\\n_cell_length_c            4.520030\\\\n_cell_angle_alpha        90.000000\\\\n_cell_angle_beta         90.000000\\\\n_cell_angle_gamma        90.000000\\\\n_cell_volume             92.347226\\\\n\\\\nloop_\\\\n _symmetry_equiv_pos_site_id\\\\n _symmetry_equiv_pos_as_xyz\\\\n1 'x, y, z'\\\\n2 '-x+3/4, -y+1/4, z+1/2'\\\\n3 '-x+1/4, y+1/2, -z+3/4'\\\\n4 'x+1/2, -y+3/4, -z+1/4'\\\\n5 'z, x, y'\\\\n6 'z+1/2, -x+3/4, -y+1/4'\\\\n7 '-z+3/4, -x+1/4, y+1/2'\\\\n8 '-z+1/4, x+1/2, -y+3/4'\\\\n9 'y, z, x'\\\\n10 '-y+1/4, z+1/2, -x+3/4'\\\\n11 'y+1/2, -z+3/4, -x+1/4'\\\\n12 '-y+3/4, -z+1/4, x+1/2'\\\\n13 'y+3/4, x+1/4, -z+1/2'\\\\n14 '-y, -x, -z'\\\\n15 'y+1/4, -x+1/2, z+3/4'\\\\n16 '-y+1/2, x+3/4, z+1/4'\\\\n17 'x+3/4, z+1/4, -y+1/2'\\\\n18 '-x+1/2, z+3/4, y+1/4'\\\\n19 '-x, -z, -y'\\\\n20 'x+1/4, -z+1/2, y+3/4'\\\\n21 'z+3/4, y+1/4, -x+1/2'\\\\n22 'z+1/4, -y+1/2, x+3/4'\\\\n23 '-z+1/2, y+3/4, x+1/4'\\\\n24 '-z, -y, -x'\\\\n25 '-x, -y, -z'\\\\n26 'x+1/4, y+3/4, -z+1/2'\\\\n27 'x+3/4, -y+1/2, z+1/4'\\\\n28 '-x+1/2, y+1/4, z+3/4'\\\\n29 '-z, -x, -y'\\\\n30 '-z+1/2, x+1/4, y+3/4'\\\\n31 'z+1/4, x+3/4, -y+1/2'\\\\n32 'z+3/4, -x+1/2, y+1/4'\\\\n33 '-y, -z, -x'\\\\n34 'y+3/4, -z+1/2, x+1/4'\\\\n35 '-y+1/2, z+1/4, x+3/4'\\\\n36 'y+1/4, z+3/4, -x+1/2'\\\\n37 '-y+1/4, -x+3/4, z+1/2'\\\\n38 'y, x, z'\\\\n39 '-y+3/4, x+1/2, -z+1/4'\\\\n40 'y+1/2, -x+1/4, -z+3/4'\\\\n41 '-x+1/4, -z+3/4, y+1/2'\\\\n42 'x+1/2, -z+1/4, -y+3/4'\\\\n43 'x, z, y'\\\\n44 '-x+3/4, z+1/2, -y+1/4'\\\\n45 '-z+1/4, -y+3/4, x+1/2'\\\\n46 '-z+3/4, y+1/2, -x+1/4'\\\\n47 'z+1/2, -y+1/4, -x+3/4'\\\\n48 'z, y, x'\\\\n49 'x, y+1/2, z+1/2'\\\\n50 '-x+3/4, -y+3/4, z+1'\\\\n51 '-x+1/4, y+1, -z+5/4'\\\\n52 'x+1/2, -y+5/4, -z+3/4'\\\\n53 'z, x+1/2, y+1/2'\\\\n54 'z+1/2, -x+5/4, -y+3/4'\\\\n55 '-z+3/4, -x+3/4, y+1'\\\\n56 '-z+1/4, x+1, -y+5/4'\\\\n57 'y, z+1/2, x+1/2'\\\\n58 '-y+1/4, z+1, -x+5/4'\\\\n59 'y+1/2, -z+5/4, -x+3/4'\\\\n60 '-y+3/4, -z+3/4, x+1'\\\\n61 'y+3/4, x+3/4, -z+1'\\\\n62 '-y, -x+1/2, -z+1/2'\\\\n63 'y+1/4, -x+1, z+5/4'\\\\n64 '-y+1/2, x+5/4, z+3/4'\\\\n65 'x+3/4, z+3/4, -y+1'\\\\n66 '-x+1/2, z+5/4, y+3/4'\\\\n67 '-x, -z+1/2, -y+1/2'\\\\n68 'x+1/4, -z+1, y+5/4'\\\\n69 'z+3/4, y+3/4, -x+1'\\\\n70 'z+1/4, -y+1, x+5/4'\\\\n71 '-z+1/2, y+5/4, x+3/4'\\\\n72 '-z, -y+1/2, -x+1/2'\\\\n73 '-x, -y+1/2, -z+1/2'\\\\n74 'x+1/4, y+5/4, -z+1'\\\\n75 'x+3/4, -y+1, z+3/4'\\\\n76 '-x+1/2, y+3/4, z+5/4'\\\\n77 '-z, -x+1/2, -y+1/2'\\\\n78 '-z+1/2, x+3/4, y+5/4'\\\\n79 'z+1/4, x+5/4, -y+1'\\\\n80 'z+3/4, -x+1, y+3/4'\\\\n81 '-y, -z+1/2, -x+1/2'\\\\n82 'y+3/4, -z+1, x+3/4'\\\\n83 '-y+1/2, z+3/4, x+5/4'\\\\n84 'y+1/4, z+5/4, -x+1'\\\\n85 '-y+1/4, -x+5/4, z+1'\\\\n86 'y, x+1/2, z+1/2'\\\\n87 '-y+3/4, x+1, -z+3/4'\\\\n88 'y+1/2, -x+3/4, -z+5/4'\\\\n89 '-x+1/4, -z+5/4, y+1'\\\\n90 'x+1/2, -z+3/4, -y+5/4'\\\\n91 'x, z+1/2, y+1/2'\\\\n92 '-x+3/4, z+1, -y+3/4'\\\\n93 '-z+1/4, -y+5/4, x+1'\\\\n94 '-z+3/4, y+1, -x+3/4'\\\\n95 'z+1/2, -y+3/4, -x+5/4'\\\\n96 'z, y+1/2, x+1/2'\\\\n97 'x+1/2, y, z+1/2'\\\\n98 '-x+5/4, -y+1/4, z+1'\\\\n99 '-x+3/4, y+1/2, -z+5/4'\\\\n100 'x+1, -y+3/4, -z+3/4'\\\\n101 'z+1/2, x, y+1/2'\\\\n102 'z+1, -x+3/4, -y+3/4'\\\\n103 '-z+5/4, -x+1/4, y+1'\\\\n104 '-z+3/4, x+1/2, -y+5/4'\\\\n105 'y+1/2, z, x+1/2'\\\\n106 '-y+3/4, z+1/2, -x+5/4'\\\\n107 'y+1, -z+3/4, -x+3/4'\\\\n108 '-y+5/4, -z+1/4, x+1'\\\\n109 'y+5/4, x+1/4, -z+1'\\\\n110 '-y+1/2, -x, -z+1/2'\\\\n111 'y+3/4, -x+1/2, z+5/4'\\\\n112 '-y+1, x+3/4, z+3/4'\\\\n113 'x+5/4, z+1/4, -y+1'\\\\n114 '-x+1, z+3/4, y+3/4'\\\\n115 '-x+1/2, -z, -y+1/2'\\\\n116 'x+3/4, -z+1/2, y+5/4'\\\\n117 'z+5/4, y+1/4, -x+1'\\\\n118 'z+3/4, -y+1/2, x+5/4'\\\\n119 '-z+1, y+3/4, x+3/4'\\\\n120 '-z+1/2, -y, -x+1/2'\\\\n121 '-x+1/2, -y, -z+1/2'\\\\n122 'x+3/4, y+3/4, -z+1'\\\\n123 'x+5/4, -y+1/2, z+3/4'\\\\n124 '-x+1, y+1/4, z+5/4'\\\\n125 '-z+1/2, -x, -y+1/2'\\\\n126 '-z+1, x+1/4, y+5/4'\\\\n127 'z+3/4, x+3/4, -y+1'\\\\n128 'z+5/4, -x+1/2, y+3/4'\\\\n129 '-y+1/2, -z, -x+1/2'\\\\n130 'y+5/4, -z+1/2, x+3/4'\\\\n131 '-y+1, z+1/4, x+5/4'\\\\n132 'y+3/4, z+3/4, -x+1'\\\\n133 '-y+3/4, -x+3/4, z+1'\\\\n134 'y+1/2, x, z+1/2'\\\\n135 '-y+5/4, x+1/2, -z+3/4'\\\\n136 'y+1, -x+1/4, -z+5/4'\\\\n137 '-x+3/4, -z+3/4, y+1'\\\\n138 'x+1, -z+1/4, -y+5/4'\\\\n139 'x+1/2, z, y+1/2'\\\\n140 '-x+5/4, z+1/2, -y+3/4'\\\\n141 '-z+3/4, -y+3/4, x+1'\\\\n142 '-z+5/4, y+1/2, -x+3/4'\\\\n143 'z+1, -y+1/4, -x+5/4'\\\\n144 'z+1/2, y, x+1/2'\\\\n145 'x+1/2, y+1/2, z'\\\\n146 '-x+5/4, -y+3/4, z+1/2'\\\\n147 '-x+3/4, y+1, -z+3/4'\\\\n148 'x+1, -y+5/4, -z+1/4'\\\\n149 'z+1/2, x+1/2, y'\\\\n150 'z+1, -x+5/4, -y+1/4'\\\\n151 '-z+5/4, -x+3/4, y+1/2'\\\\n152 '-z+3/4, x+1, -y+3/4'\\\\n153 'y+1/2, z+1/2, x'\\\\n154 '-y+3/4, z+1, -x+3/4'\\\\n155 'y+1, -z+5/4, -x+1/4'\\\\n156 '-y+5/4, -z+3/4, x+1/2'\\\\n157 'y+5/4, x+3/4, -z+1/2'\\\\n158 '-y+1/2, -x+1/2, -z'\\\\n159 'y+3/4, -x+1, z+3/4'\\\\n160 '-y+1, x+5/4, z+1/4'\\\\n161 'x+5/4, z+3/4, -y+1/2'\\\\n162 '-x+1, z+5/4, y+1/4'\\\\n163 '-x+1/2, -z+1/2, -y'\\\\n164 'x+3/4, -z+1, y+3/4'\\\\n165 'z+5/4, y+3/4, -x+1/2'\\\\n166 'z+3/4, -y+1, x+3/4'\\\\n167 '-z+1, y+5/4, x+1/4'\\\\n168 '-z+1/2, -y+1/2, -x'\\\\n169 '-x+1/2, -y+1/2, -z'\\\\n170 'x+3/4, y+5/4, -z+1/2'\\\\n171 'x+5/4, -y+1, z+1/4'\\\\n172 '-x+1, y+3/4, z+3/4'\\\\n173 '-z+1/2, -x+1/2, -y'\\\\n174 '-z+1, x+3/4, y+3/4'\\\\n175 'z+3/4, x+5/4, -y+1/2'\\\\n176 'z+5/4, -x+1, y+1/4'\\\\n177 '-y+1/2, -z+1/2, -x'\\\\n178 'y+5/4, -z+1, x+1/4'\\\\n179 '-y+1, z+3/4, x+3/4'\\\\n180 'y+3/4, z+5/4, -x+1/2'\\\\n181 '-y+3/4, -x+5/4, z+1/2'\\\\n182 'y+1/2, x+1/2, z'\\\\n183 '-y+5/4, x+1, -z+1/4'\\\\n184 'y+1, -x+3/4, -z+3/4'\\\\n185 '-x+3/4, -z+5/4, y+1/2'\\\\n186 'x+1, -z+3/4, -y+3/4'\\\\n187 'x+1/2, z+1/2, y'\\\\n188 '-x+5/4, z+1, -y+1/4'\\\\n189 '-z+3/4, -y+5/4, x+1/2'\\\\n190 '-z+5/4, y+1, -x+1/4'\\\\n191 'z+1, -y+3/4, -x+3/4'\\\\n192 'z+1/2, y+1/2, x'\\\\n\\\\nloop_\\\\n _atom_site_label\\\\n _atom_site_type_symbol\\\\n _atom_site_symmetry_multiplicity\\\\n _atom_site_fract_x\\\\n _atom_site_fract_y\\\\n _atom_site_fract_z\\\\n _atom_site_occupancy\\\\nC      C        8     0.125000    0.125000    0.125000 1\\\\n#END\\\\n\\\\n\\\",\\\"cif\\\",{\\\"doAssembly\\\": true, \\\"duplicateAssemblyAtoms\\\": true});\\n\\tviewer_16602228857854478.setStyle({\\\"sphere\\\": {\\\"colorscheme\\\": \\\"Jmol\\\", \\\"scale\\\": 0.25}, \\\"stick\\\": {\\\"colorscheme\\\": \\\"Jmol\\\", \\\"radius\\\": 0.1}});\\n\\tviewer_16602228857854478.addUnitCell();\\n\\tviewer_16602228857854478.replicateUnitCell(2,2,1);\\n\\tviewer_16602228857854478.zoomTo();\\nviewer_16602228857854478.render();\\n});\\n</script>\",\n      \"text/html\": [\n       \"<div id=\\\"3dmolviewer_16602228857854478\\\"  style=\\\"position: relative; width: 600px; height: 300px\\\">\\n\",\n       \"        <p id=\\\"3dmolwarning_16602228857854478\\\" style=\\\"background-color:#ffcccc;color:black\\\">You appear to be running in JupyterLab (or JavaScript failed to load for some other reason).  You need to install the 3dmol extension: <br>\\n\",\n       \"        <tt>jupyter labextension install jupyterlab_3dmol</tt></p>\\n\",\n       \"        </div>\\n\",\n       \"<script>\\n\",\n       \"\\n\",\n       \"var loadScriptAsync = function(uri){\\n\",\n       \"  return new Promise((resolve, reject) => {\\n\",\n       \"    var tag = document.createElement('script');\\n\",\n       \"    tag.src = uri;\\n\",\n       \"    tag.async = true;\\n\",\n       \"    tag.onload = () => {\\n\",\n       \"      resolve();\\n\",\n       \"    };\\n\",\n       \"  var firstScriptTag = document.getElementsByTagName('script')[0];\\n\",\n       \"  firstScriptTag.parentNode.insertBefore(tag, firstScriptTag);\\n\",\n       \"});\\n\",\n       \"};\\n\",\n       \"\\n\",\n       \"if(typeof $3Dmolpromise === 'undefined') {\\n\",\n       \"$3Dmolpromise = null;\\n\",\n       \"  $3Dmolpromise = loadScriptAsync('https://3dmol.org/build/3Dmol.js');\\n\",\n       \"}\\n\",\n       \"\\n\",\n       \"var viewer_16602228857854478 = null;\\n\",\n       \"var warn = document.getElementById(\\\"3dmolwarning_16602228857854478\\\");\\n\",\n       \"if(warn) {\\n\",\n       \"    warn.parentNode.removeChild(warn);\\n\",\n       \"}\\n\",\n       \"$3Dmolpromise.then(function() {\\n\",\n       \"viewer_16602228857854478 = $3Dmol.createViewer($(\\\"#3dmolviewer_16602228857854478\\\"),{backgroundColor:\\\"white\\\"});\\n\",\n       \"viewer_16602228857854478.zoomTo();\\n\",\n       \"\\tviewer_16602228857854478.addModel(\\\"#############################################################\\\\n#             ______       _    _          _                #\\\\n#            (_____ \\\\\\\\     \\\\\\\\ \\\\\\\\  / /        | |               #\\\\n#             _____) )   _ \\\\\\\\ \\\\\\\\/ / |_  ____| |               #\\\\n#            |  ____/ | | | )  (|  _)/ _  | |               #\\\\n#            | |    | |_| |/ /\\\\\\\\ \\\\\\\\ |_( (_| | |___            #\\\\n#            |_|     \\\\\\\\__  /_/  \\\\\\\\_\\\\\\\\___)__|_|_____)           #\\\\n#                   (____/                                  #\\\\n#---------------------(version    0.5.1)--------------------#\\\\n#       A Python package for random crystal generation      #\\\\n#       url: https://github.com/qzhu2017/pyxtal             #\\\\n#       @Zhu's group at University of Nevada Las Vegas      #\\\\n#############################################################\\\\ndata_from_pyxtal\\\\n\\\\n_symmetry_space_group_name_H-M 'Fd-3m'\\\\n_symmetry_Int_Tables_number                  227\\\\n_symmetry_cell_setting                     cubic\\\\n_cell_length_a            4.520030\\\\n_cell_length_b            4.520030\\\\n_cell_length_c            4.520030\\\\n_cell_angle_alpha        90.000000\\\\n_cell_angle_beta         90.000000\\\\n_cell_angle_gamma        90.000000\\\\n_cell_volume             92.347226\\\\n\\\\nloop_\\\\n _symmetry_equiv_pos_site_id\\\\n _symmetry_equiv_pos_as_xyz\\\\n1 'x, y, z'\\\\n2 '-x+3/4, -y+1/4, z+1/2'\\\\n3 '-x+1/4, y+1/2, -z+3/4'\\\\n4 'x+1/2, -y+3/4, -z+1/4'\\\\n5 'z, x, y'\\\\n6 'z+1/2, -x+3/4, -y+1/4'\\\\n7 '-z+3/4, -x+1/4, y+1/2'\\\\n8 '-z+1/4, x+1/2, -y+3/4'\\\\n9 'y, z, x'\\\\n10 '-y+1/4, z+1/2, -x+3/4'\\\\n11 'y+1/2, -z+3/4, -x+1/4'\\\\n12 '-y+3/4, -z+1/4, x+1/2'\\\\n13 'y+3/4, x+1/4, -z+1/2'\\\\n14 '-y, -x, -z'\\\\n15 'y+1/4, -x+1/2, z+3/4'\\\\n16 '-y+1/2, x+3/4, z+1/4'\\\\n17 'x+3/4, z+1/4, -y+1/2'\\\\n18 '-x+1/2, z+3/4, y+1/4'\\\\n19 '-x, -z, -y'\\\\n20 'x+1/4, -z+1/2, y+3/4'\\\\n21 'z+3/4, y+1/4, -x+1/2'\\\\n22 'z+1/4, -y+1/2, x+3/4'\\\\n23 '-z+1/2, y+3/4, x+1/4'\\\\n24 '-z, -y, -x'\\\\n25 '-x, -y, -z'\\\\n26 'x+1/4, y+3/4, -z+1/2'\\\\n27 'x+3/4, -y+1/2, z+1/4'\\\\n28 '-x+1/2, y+1/4, z+3/4'\\\\n29 '-z, -x, -y'\\\\n30 '-z+1/2, x+1/4, y+3/4'\\\\n31 'z+1/4, x+3/4, -y+1/2'\\\\n32 'z+3/4, -x+1/2, y+1/4'\\\\n33 '-y, -z, -x'\\\\n34 'y+3/4, -z+1/2, x+1/4'\\\\n35 '-y+1/2, z+1/4, x+3/4'\\\\n36 'y+1/4, z+3/4, -x+1/2'\\\\n37 '-y+1/4, -x+3/4, z+1/2'\\\\n38 'y, x, z'\\\\n39 '-y+3/4, x+1/2, -z+1/4'\\\\n40 'y+1/2, -x+1/4, -z+3/4'\\\\n41 '-x+1/4, -z+3/4, y+1/2'\\\\n42 'x+1/2, -z+1/4, -y+3/4'\\\\n43 'x, z, y'\\\\n44 '-x+3/4, z+1/2, -y+1/4'\\\\n45 '-z+1/4, -y+3/4, x+1/2'\\\\n46 '-z+3/4, y+1/2, -x+1/4'\\\\n47 'z+1/2, -y+1/4, -x+3/4'\\\\n48 'z, y, x'\\\\n49 'x, y+1/2, z+1/2'\\\\n50 '-x+3/4, -y+3/4, z+1'\\\\n51 '-x+1/4, y+1, -z+5/4'\\\\n52 'x+1/2, -y+5/4, -z+3/4'\\\\n53 'z, x+1/2, y+1/2'\\\\n54 'z+1/2, -x+5/4, -y+3/4'\\\\n55 '-z+3/4, -x+3/4, y+1'\\\\n56 '-z+1/4, x+1, -y+5/4'\\\\n57 'y, z+1/2, x+1/2'\\\\n58 '-y+1/4, z+1, -x+5/4'\\\\n59 'y+1/2, -z+5/4, -x+3/4'\\\\n60 '-y+3/4, -z+3/4, x+1'\\\\n61 'y+3/4, x+3/4, -z+1'\\\\n62 '-y, -x+1/2, -z+1/2'\\\\n63 'y+1/4, -x+1, z+5/4'\\\\n64 '-y+1/2, x+5/4, z+3/4'\\\\n65 'x+3/4, z+3/4, -y+1'\\\\n66 '-x+1/2, z+5/4, y+3/4'\\\\n67 '-x, -z+1/2, -y+1/2'\\\\n68 'x+1/4, -z+1, y+5/4'\\\\n69 'z+3/4, y+3/4, -x+1'\\\\n70 'z+1/4, -y+1, x+5/4'\\\\n71 '-z+1/2, y+5/4, x+3/4'\\\\n72 '-z, -y+1/2, -x+1/2'\\\\n73 '-x, -y+1/2, -z+1/2'\\\\n74 'x+1/4, y+5/4, -z+1'\\\\n75 'x+3/4, -y+1, z+3/4'\\\\n76 '-x+1/2, y+3/4, z+5/4'\\\\n77 '-z, -x+1/2, -y+1/2'\\\\n78 '-z+1/2, x+3/4, y+5/4'\\\\n79 'z+1/4, x+5/4, -y+1'\\\\n80 'z+3/4, -x+1, y+3/4'\\\\n81 '-y, -z+1/2, -x+1/2'\\\\n82 'y+3/4, -z+1, x+3/4'\\\\n83 '-y+1/2, z+3/4, x+5/4'\\\\n84 'y+1/4, z+5/4, -x+1'\\\\n85 '-y+1/4, -x+5/4, z+1'\\\\n86 'y, x+1/2, z+1/2'\\\\n87 '-y+3/4, x+1, -z+3/4'\\\\n88 'y+1/2, -x+3/4, -z+5/4'\\\\n89 '-x+1/4, -z+5/4, y+1'\\\\n90 'x+1/2, -z+3/4, -y+5/4'\\\\n91 'x, z+1/2, y+1/2'\\\\n92 '-x+3/4, z+1, -y+3/4'\\\\n93 '-z+1/4, -y+5/4, x+1'\\\\n94 '-z+3/4, y+1, -x+3/4'\\\\n95 'z+1/2, -y+3/4, -x+5/4'\\\\n96 'z, y+1/2, x+1/2'\\\\n97 'x+1/2, y, z+1/2'\\\\n98 '-x+5/4, -y+1/4, z+1'\\\\n99 '-x+3/4, y+1/2, -z+5/4'\\\\n100 'x+1, -y+3/4, -z+3/4'\\\\n101 'z+1/2, x, y+1/2'\\\\n102 'z+1, -x+3/4, -y+3/4'\\\\n103 '-z+5/4, -x+1/4, y+1'\\\\n104 '-z+3/4, x+1/2, -y+5/4'\\\\n105 'y+1/2, z, x+1/2'\\\\n106 '-y+3/4, z+1/2, -x+5/4'\\\\n107 'y+1, -z+3/4, -x+3/4'\\\\n108 '-y+5/4, -z+1/4, x+1'\\\\n109 'y+5/4, x+1/4, -z+1'\\\\n110 '-y+1/2, -x, -z+1/2'\\\\n111 'y+3/4, -x+1/2, z+5/4'\\\\n112 '-y+1, x+3/4, z+3/4'\\\\n113 'x+5/4, z+1/4, -y+1'\\\\n114 '-x+1, z+3/4, y+3/4'\\\\n115 '-x+1/2, -z, -y+1/2'\\\\n116 'x+3/4, -z+1/2, y+5/4'\\\\n117 'z+5/4, y+1/4, -x+1'\\\\n118 'z+3/4, -y+1/2, x+5/4'\\\\n119 '-z+1, y+3/4, x+3/4'\\\\n120 '-z+1/2, -y, -x+1/2'\\\\n121 '-x+1/2, -y, -z+1/2'\\\\n122 'x+3/4, y+3/4, -z+1'\\\\n123 'x+5/4, -y+1/2, z+3/4'\\\\n124 '-x+1, y+1/4, z+5/4'\\\\n125 '-z+1/2, -x, -y+1/2'\\\\n126 '-z+1, x+1/4, y+5/4'\\\\n127 'z+3/4, x+3/4, -y+1'\\\\n128 'z+5/4, -x+1/2, y+3/4'\\\\n129 '-y+1/2, -z, -x+1/2'\\\\n130 'y+5/4, -z+1/2, x+3/4'\\\\n131 '-y+1, z+1/4, x+5/4'\\\\n132 'y+3/4, z+3/4, -x+1'\\\\n133 '-y+3/4, -x+3/4, z+1'\\\\n134 'y+1/2, x, z+1/2'\\\\n135 '-y+5/4, x+1/2, -z+3/4'\\\\n136 'y+1, -x+1/4, -z+5/4'\\\\n137 '-x+3/4, -z+3/4, y+1'\\\\n138 'x+1, -z+1/4, -y+5/4'\\\\n139 'x+1/2, z, y+1/2'\\\\n140 '-x+5/4, z+1/2, -y+3/4'\\\\n141 '-z+3/4, -y+3/4, x+1'\\\\n142 '-z+5/4, y+1/2, -x+3/4'\\\\n143 'z+1, -y+1/4, -x+5/4'\\\\n144 'z+1/2, y, x+1/2'\\\\n145 'x+1/2, y+1/2, z'\\\\n146 '-x+5/4, -y+3/4, z+1/2'\\\\n147 '-x+3/4, y+1, -z+3/4'\\\\n148 'x+1, -y+5/4, -z+1/4'\\\\n149 'z+1/2, x+1/2, y'\\\\n150 'z+1, -x+5/4, -y+1/4'\\\\n151 '-z+5/4, -x+3/4, y+1/2'\\\\n152 '-z+3/4, x+1, -y+3/4'\\\\n153 'y+1/2, z+1/2, x'\\\\n154 '-y+3/4, z+1, -x+3/4'\\\\n155 'y+1, -z+5/4, -x+1/4'\\\\n156 '-y+5/4, -z+3/4, x+1/2'\\\\n157 'y+5/4, x+3/4, -z+1/2'\\\\n158 '-y+1/2, -x+1/2, -z'\\\\n159 'y+3/4, -x+1, z+3/4'\\\\n160 '-y+1, x+5/4, z+1/4'\\\\n161 'x+5/4, z+3/4, -y+1/2'\\\\n162 '-x+1, z+5/4, y+1/4'\\\\n163 '-x+1/2, -z+1/2, -y'\\\\n164 'x+3/4, -z+1, y+3/4'\\\\n165 'z+5/4, y+3/4, -x+1/2'\\\\n166 'z+3/4, -y+1, x+3/4'\\\\n167 '-z+1, y+5/4, x+1/4'\\\\n168 '-z+1/2, -y+1/2, -x'\\\\n169 '-x+1/2, -y+1/2, -z'\\\\n170 'x+3/4, y+5/4, -z+1/2'\\\\n171 'x+5/4, -y+1, z+1/4'\\\\n172 '-x+1, y+3/4, z+3/4'\\\\n173 '-z+1/2, -x+1/2, -y'\\\\n174 '-z+1, x+3/4, y+3/4'\\\\n175 'z+3/4, x+5/4, -y+1/2'\\\\n176 'z+5/4, -x+1, y+1/4'\\\\n177 '-y+1/2, -z+1/2, -x'\\\\n178 'y+5/4, -z+1, x+1/4'\\\\n179 '-y+1, z+3/4, x+3/4'\\\\n180 'y+3/4, z+5/4, -x+1/2'\\\\n181 '-y+3/4, -x+5/4, z+1/2'\\\\n182 'y+1/2, x+1/2, z'\\\\n183 '-y+5/4, x+1, -z+1/4'\\\\n184 'y+1, -x+3/4, -z+3/4'\\\\n185 '-x+3/4, -z+5/4, y+1/2'\\\\n186 'x+1, -z+3/4, -y+3/4'\\\\n187 'x+1/2, z+1/2, y'\\\\n188 '-x+5/4, z+1, -y+1/4'\\\\n189 '-z+3/4, -y+5/4, x+1/2'\\\\n190 '-z+5/4, y+1, -x+1/4'\\\\n191 'z+1, -y+3/4, -x+3/4'\\\\n192 'z+1/2, y+1/2, x'\\\\n\\\\nloop_\\\\n _atom_site_label\\\\n _atom_site_type_symbol\\\\n _atom_site_symmetry_multiplicity\\\\n _atom_site_fract_x\\\\n _atom_site_fract_y\\\\n _atom_site_fract_z\\\\n _atom_site_occupancy\\\\nC      C        8     0.125000    0.125000    0.125000 1\\\\n#END\\\\n\\\\n\\\",\\\"cif\\\",{\\\"doAssembly\\\": true, \\\"duplicateAssemblyAtoms\\\": true});\\n\",\n       \"\\tviewer_16602228857854478.setStyle({\\\"sphere\\\": {\\\"colorscheme\\\": \\\"Jmol\\\", \\\"scale\\\": 0.25}, \\\"stick\\\": {\\\"colorscheme\\\": \\\"Jmol\\\", \\\"radius\\\": 0.1}});\\n\",\n       \"\\tviewer_16602228857854478.addUnitCell();\\n\",\n       \"\\tviewer_16602228857854478.replicateUnitCell(2,2,1);\\n\",\n       \"\\tviewer_16602228857854478.zoomTo();\\n\",\n       \"viewer_16602228857854478.render();\\n\",\n       \"});\\n\",\n       \"</script>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    },\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"<py3Dmol.view at 0x7f7c752ae390>\"\n      ]\n     },\n     \"execution_count\": 4,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"#display the structure can be easily accessed with the show() function\\n\",\n    \"C1.show(supercell=(2,2,1))\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"# 1.2 Manipulating the crystal via symmetry relation\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 5,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"\\n\",\n      \"------Crystal from subgroup------\\n\",\n      \"Dimension: 3\\n\",\n      \"Composition: C8\\n\",\n      \"Group: I 41/a m d:2 (141)\\n\",\n      \"  3.1961,   3.1961,   4.5134,  90.0000,  90.0000,  90.0000, tetragonal\\n\",\n      \"Wyckoff sites:\\n\",\n      \"\\t C @ [ 0.0000  0.7500  0.1250], WP [4a] Site [-4mm2]\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"# lower the symmetry from cubic to tetragonal\\n\",\n    \"C2 = C1.subgroup_once(H=141, eps=1e-2)\\n\",\n    \"print(C2)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 6,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"# Compute the XRD\\n\",\n    \"xrd1 = C1.get_XRD()\\n\",\n    \"xrd2 = C2.get_XRD()\\n\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 7,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"The similarity between two PXRDs is 0.9986\\n\"\n     ]\n    },\n    {\n     \"data\": {\n      \"image/png\": 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     \"text/plain\": [\n       \"<Figure size 1080x432 with 2 Axes>\"\n      ]\n     },\n     \"metadata\": {\n      \"needs_background\": \"light\"\n     },\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"# Compare two structures by XRD\\n\",\n    \"from pyxtal.XRD import Similarity\\n\",\n    \"\\n\",\n    \"p1 = xrd1.get_profile()\\n\",\n    \"p2 = xrd2.get_profile()\\n\",\n    \"s = Similarity(p1, p2, x_range=[15, 90])\\n\",\n    \"print(s)\\n\",\n    \"s.show()\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"# 1.3 Chemical substitution via symmetry relation\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 8,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"\\n\",\n      \"------Crystal from random------\\n\",\n      \"Dimension: 3\\n\",\n      \"Composition: C8\\n\",\n      \"Group: F d -3 m:2 (227)\\n\",\n      \"  4.5200,   4.5200,   4.5200,  90.0000,  90.0000,  90.0000, cubic\\n\",\n      \"Wyckoff sites:\\n\",\n      \"\\t C @ [ 0.1250  0.1250  0.1250], WP [8a] Site [-433mm]\\n\",\n      \"\\n\",\n      \"------Crystal from subgroup------\\n\",\n      \"Dimension: 3\\n\",\n      \"Composition: Si3C3\\n\",\n      \"Group: R 3:H (146)\\n\",\n      \"  3.1961,   3.1961,   7.7923,  90.0000,  90.0000, 120.0000, hexagonal\\n\",\n      \"Wyckoff sites:\\n\",\n      \"\\t C @ [ 0.0000  0.0000  0.1245], WP [3a] Site [3..]\\n\",\n      \"\\tSi @ [ 0.0000  0.0000  0.8764], WP [3a] Site [3..]\\n\"\n     ]\n    },\n    {\n     \"data\": {\n      \"application/3dmoljs_load.v0\": \"<div id=\\\"3dmolviewer_1660222888253011\\\"  style=\\\"position: relative; width: 600px; height: 300px\\\">\\n        <p id=\\\"3dmolwarning_1660222888253011\\\" style=\\\"background-color:#ffcccc;color:black\\\">You appear to be running in JupyterLab (or JavaScript failed to load for some other 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\"var viewer_1660222888253011 = null;\\n\",\n       \"var warn = document.getElementById(\\\"3dmolwarning_1660222888253011\\\");\\n\",\n       \"if(warn) {\\n\",\n       \"    warn.parentNode.removeChild(warn);\\n\",\n       \"}\\n\",\n       \"$3Dmolpromise.then(function() {\\n\",\n       \"viewer_1660222888253011 = $3Dmol.createViewer($(\\\"#3dmolviewer_1660222888253011\\\"),{backgroundColor:\\\"white\\\"});\\n\",\n       \"viewer_1660222888253011.zoomTo();\\n\",\n       \"\\tviewer_1660222888253011.addModel(\\\"#############################################################\\\\n#             ______       _    _          _                #\\\\n#            (_____ \\\\\\\\     \\\\\\\\ \\\\\\\\  / /        | |               #\\\\n#             _____) )   _ \\\\\\\\ \\\\\\\\/ / |_  ____| |               #\\\\n#            |  ____/ | | | )  (|  _)/ _  | |               #\\\\n#            | |    | |_| |/ /\\\\\\\\ \\\\\\\\ |_( (_| | |___            #\\\\n#            |_|     \\\\\\\\__  /_/  \\\\\\\\_\\\\\\\\___)__|_|_____)           #\\\\n#                   (____/                                  #\\\\n#---------------------(version    0.5.1)--------------------#\\\\n#       A Python package for random crystal generation      #\\\\n#       url: https://github.com/qzhu2017/pyxtal             #\\\\n#       @Zhu's group at University of Nevada Las Vegas      #\\\\n#############################################################\\\\ndata_from_pyxtal\\\\n\\\\n_symmetry_space_group_name_H-M 'R3'\\\\n_symmetry_Int_Tables_number                  146\\\\n_symmetry_cell_setting                 hexagonal\\\\n_cell_length_a            3.196144\\\\n_cell_length_b            3.196144\\\\n_cell_length_c            7.792288\\\\n_cell_angle_alpha        90.000000\\\\n_cell_angle_beta         90.000000\\\\n_cell_angle_gamma       120.000000\\\\n_cell_volume             68.936338\\\\n\\\\nloop_\\\\n _symmetry_equiv_pos_site_id\\\\n _symmetry_equiv_pos_as_xyz\\\\n1 'x, y, z'\\\\n2 '-y, x-y, z'\\\\n3 '-x+y, -x, z'\\\\n4 'x+2/3, y+1/3, z+1/3'\\\\n5 '-y+2/3, x-y+1/3, z+1/3'\\\\n6 '-x+y+2/3, -x+1/3, z+1/3'\\\\n7 'x+1/3, y+2/3, z+2/3'\\\\n8 '-y+1/3, x-y+2/3, z+2/3'\\\\n9 '-x+y+1/3, -x+2/3, z+2/3'\\\\n\\\\nloop_\\\\n _atom_site_label\\\\n _atom_site_type_symbol\\\\n _atom_site_symmetry_multiplicity\\\\n _atom_site_fract_x\\\\n _atom_site_fract_y\\\\n _atom_site_fract_z\\\\n _atom_site_occupancy\\\\nC      C        3     0.000000    0.000000    0.124534 1\\\\nSi     Si       3     0.000000    0.000000    0.876382 1\\\\n#END\\\\n\\\\n\\\",\\\"cif\\\",{\\\"doAssembly\\\": true, \\\"duplicateAssemblyAtoms\\\": true});\\n\",\n       \"\\tviewer_1660222888253011.setStyle({\\\"sphere\\\": {\\\"colorscheme\\\": \\\"Jmol\\\", \\\"scale\\\": 0.25}, \\\"stick\\\": {\\\"colorscheme\\\": \\\"Jmol\\\", \\\"radius\\\": 0.1}});\\n\",\n       \"\\tviewer_1660222888253011.addUnitCell();\\n\",\n       \"\\tviewer_1660222888253011.replicateUnitCell(2,2,2);\\n\",\n       \"\\tviewer_1660222888253011.zoomTo();\\n\",\n       \"viewer_1660222888253011.render();\\n\",\n       \"});\\n\",\n       \"</script>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    },\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"<py3Dmol.view at 0x7f7c76c45dd0>\"\n      ]\n     },\n     \"execution_count\": 8,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"#play substitution\\n\",\n    \"permutation = {\\\"C\\\":\\\"Si\\\"}\\n\",\n    \"SiC = C1.subgroup_once(eps=0.01, H=None, perms=permutation)\\n\",\n    \"print(C1)\\n\",\n    \"print(SiC)\\n\",\n    \"SiC.show(supercell=(2,2,2))\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"# 1.4 Supergroup symmetry\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 9,\n   \"metadata\": {\n    \"scrolled\": false\n   },\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"\\n\",\n      \"------Crystal from Seed------\\n\",\n      \"Dimension: 3\\n\",\n      \"Composition: Si3O6\\n\",\n      \"Group: P 32 2 1 (154)\\n\",\n      \"  5.0278,   5.0278,   5.5189,  90.0000,  90.0000, 120.0000, hexagonal\\n\",\n      \"Wyckoff sites:\\n\",\n      \"\\tSi @ [ 0.4773  0.0000  0.6667], WP [3a] Site [.2.]\\n\",\n      \"\\t O @ [ 0.1607  0.7457  0.5373], WP [6c] Site [1]\\n\"\n     ]\n    },\n    {\n     \"data\": {\n      \"application/3dmoljs_load.v0\": \"<div id=\\\"3dmolviewer_1660222888528995\\\"  style=\\\"position: relative; width: 600px; height: 300px\\\">\\n        <p id=\\\"3dmolwarning_1660222888528995\\\" style=\\\"background-color:#ffcccc;color:black\\\">You appear to be running in JupyterLab (or JavaScript failed to load for some other reason).  You need to install the 3dmol extension: <br>\\n        <tt>jupyter labextension install jupyterlab_3dmol</tt></p>\\n        </div>\\n<script>\\n\\nvar loadScriptAsync = function(uri){\\n  return new Promise((resolve, reject) => {\\n    var tag = document.createElement('script');\\n    tag.src = uri;\\n    tag.async = true;\\n    tag.onload = () => {\\n      resolve();\\n    };\\n  var firstScriptTag = document.getElementsByTagName('script')[0];\\n  firstScriptTag.parentNode.insertBefore(tag, firstScriptTag);\\n});\\n};\\n\\nif(typeof $3Dmolpromise === 'undefined') {\\n$3Dmolpromise = null;\\n  $3Dmolpromise = loadScriptAsync('https://3dmol.org/build/3Dmol.js');\\n}\\n\\nvar viewer_1660222888528995 = null;\\nvar warn = document.getElementById(\\\"3dmolwarning_1660222888528995\\\");\\nif(warn) {\\n    warn.parentNode.removeChild(warn);\\n}\\n$3Dmolpromise.then(function() {\\nviewer_1660222888528995 = $3Dmol.createViewer($(\\\"#3dmolviewer_1660222888528995\\\"),{backgroundColor:\\\"white\\\"});\\nviewer_1660222888528995.zoomTo();\\n\\tviewer_1660222888528995.addModel(\\\"#############################################################\\\\n#             ______       _    _          _                #\\\\n#            (_____ \\\\\\\\     \\\\\\\\ \\\\\\\\  / /        | |               #\\\\n#             _____) )   _ \\\\\\\\ \\\\\\\\/ / |_  ____| |               #\\\\n#            |  ____/ | | | )  (|  _)/ _  | |               #\\\\n#            | |    | |_| |/ /\\\\\\\\ \\\\\\\\ |_( (_| | |___            #\\\\n#            |_|     \\\\\\\\__  /_/  \\\\\\\\_\\\\\\\\___)__|_|_____)           #\\\\n#                   (____/                                  #\\\\n#---------------------(version    0.5.1)--------------------#\\\\n#       A Python package for random crystal generation      #\\\\n#       url: https://github.com/qzhu2017/pyxtal             #\\\\n#       @Zhu's group at University of Nevada Las Vegas      #\\\\n#############################################################\\\\ndata_from_pyxtal\\\\n\\\\n_symmetry_space_group_name_H-M 'P3221'\\\\n_symmetry_Int_Tables_number                  154\\\\n_symmetry_cell_setting                 hexagonal\\\\n_cell_length_a            5.027782\\\\n_cell_length_b            5.027782\\\\n_cell_length_c            5.518918\\\\n_cell_angle_alpha        90.000000\\\\n_cell_angle_beta         90.000000\\\\n_cell_angle_gamma       120.000000\\\\n_cell_volume            120.819618\\\\n\\\\nloop_\\\\n _symmetry_equiv_pos_site_id\\\\n _symmetry_equiv_pos_as_xyz\\\\n1 'x, y, z'\\\\n2 '-y, x-y, z+2/3'\\\\n3 '-x+y, -x, z+1/3'\\\\n4 'y, x, -z'\\\\n5 'x-y, -y, -z+1/3'\\\\n6 '-x, -x+y, -z+2/3'\\\\n\\\\nloop_\\\\n _atom_site_label\\\\n _atom_site_type_symbol\\\\n _atom_site_symmetry_multiplicity\\\\n _atom_site_fract_x\\\\n _atom_site_fract_y\\\\n _atom_site_fract_z\\\\n _atom_site_occupancy\\\\nSi     Si       3     0.477290    0.000000    0.666667 1\\\\nO      O        6     0.160740    0.745703    0.537334 1\\\\n#END\\\\n\\\\n\\\",\\\"cif\\\",{\\\"doAssembly\\\": true, \\\"duplicateAssemblyAtoms\\\": true});\\n\\tviewer_1660222888528995.setStyle({\\\"sphere\\\": {\\\"colorscheme\\\": \\\"Jmol\\\", \\\"scale\\\": 0.25}, \\\"stick\\\": {\\\"colorscheme\\\": \\\"Jmol\\\", \\\"radius\\\": 0.1}});\\n\\tviewer_1660222888528995.addUnitCell();\\n\\tviewer_1660222888528995.replicateUnitCell(1,1,1);\\n\\tviewer_1660222888528995.zoomTo();\\nviewer_1660222888528995.render();\\n});\\n</script>\",\n      \"text/html\": [\n       \"<div id=\\\"3dmolviewer_1660222888528995\\\"  style=\\\"position: relative; width: 600px; height: 300px\\\">\\n\",\n       \"        <p id=\\\"3dmolwarning_1660222888528995\\\" style=\\\"background-color:#ffcccc;color:black\\\">You appear to be running in JupyterLab (or JavaScript failed to load for some other reason).  You need to install the 3dmol extension: <br>\\n\",\n       \"        <tt>jupyter labextension install jupyterlab_3dmol</tt></p>\\n\",\n       \"        </div>\\n\",\n       \"<script>\\n\",\n       \"\\n\",\n       \"var loadScriptAsync = function(uri){\\n\",\n       \"  return new Promise((resolve, reject) => {\\n\",\n       \"    var tag = document.createElement('script');\\n\",\n       \"    tag.src = uri;\\n\",\n       \"    tag.async = true;\\n\",\n       \"    tag.onload = () => {\\n\",\n       \"      resolve();\\n\",\n       \"    };\\n\",\n       \"  var firstScriptTag = document.getElementsByTagName('script')[0];\\n\",\n       \"  firstScriptTag.parentNode.insertBefore(tag, firstScriptTag);\\n\",\n       \"});\\n\",\n       \"};\\n\",\n       \"\\n\",\n       \"if(typeof $3Dmolpromise === 'undefined') {\\n\",\n       \"$3Dmolpromise = null;\\n\",\n       \"  $3Dmolpromise = loadScriptAsync('https://3dmol.org/build/3Dmol.js');\\n\",\n       \"}\\n\",\n       \"\\n\",\n       \"var viewer_1660222888528995 = null;\\n\",\n       \"var warn = document.getElementById(\\\"3dmolwarning_1660222888528995\\\");\\n\",\n       \"if(warn) {\\n\",\n       \"    warn.parentNode.removeChild(warn);\\n\",\n       \"}\\n\",\n       \"$3Dmolpromise.then(function() {\\n\",\n       \"viewer_1660222888528995 = $3Dmol.createViewer($(\\\"#3dmolviewer_1660222888528995\\\"),{backgroundColor:\\\"white\\\"});\\n\",\n       \"viewer_1660222888528995.zoomTo();\\n\",\n       \"\\tviewer_1660222888528995.addModel(\\\"#############################################################\\\\n#             ______       _    _          _                #\\\\n#            (_____ \\\\\\\\     \\\\\\\\ \\\\\\\\  / /        | |               #\\\\n#             _____) )   _ \\\\\\\\ \\\\\\\\/ / |_  ____| |               #\\\\n#            |  ____/ | | | )  (|  _)/ _  | |               #\\\\n#            | |    | |_| |/ /\\\\\\\\ \\\\\\\\ |_( (_| | |___            #\\\\n#            |_|     \\\\\\\\__  /_/  \\\\\\\\_\\\\\\\\___)__|_|_____)           #\\\\n#                   (____/                                  #\\\\n#---------------------(version    0.5.1)--------------------#\\\\n#       A Python package for random crystal generation      #\\\\n#       url: https://github.com/qzhu2017/pyxtal             #\\\\n#       @Zhu's group at University of Nevada Las Vegas      #\\\\n#############################################################\\\\ndata_from_pyxtal\\\\n\\\\n_symmetry_space_group_name_H-M 'P3221'\\\\n_symmetry_Int_Tables_number                  154\\\\n_symmetry_cell_setting                 hexagonal\\\\n_cell_length_a            5.027782\\\\n_cell_length_b            5.027782\\\\n_cell_length_c            5.518918\\\\n_cell_angle_alpha        90.000000\\\\n_cell_angle_beta         90.000000\\\\n_cell_angle_gamma       120.000000\\\\n_cell_volume            120.819618\\\\n\\\\nloop_\\\\n _symmetry_equiv_pos_site_id\\\\n _symmetry_equiv_pos_as_xyz\\\\n1 'x, y, z'\\\\n2 '-y, x-y, z+2/3'\\\\n3 '-x+y, -x, z+1/3'\\\\n4 'y, x, -z'\\\\n5 'x-y, -y, -z+1/3'\\\\n6 '-x, -x+y, -z+2/3'\\\\n\\\\nloop_\\\\n _atom_site_label\\\\n _atom_site_type_symbol\\\\n _atom_site_symmetry_multiplicity\\\\n _atom_site_fract_x\\\\n _atom_site_fract_y\\\\n _atom_site_fract_z\\\\n _atom_site_occupancy\\\\nSi     Si       3     0.477290    0.000000    0.666667 1\\\\nO      O        6     0.160740    0.745703    0.537334 1\\\\n#END\\\\n\\\\n\\\",\\\"cif\\\",{\\\"doAssembly\\\": true, \\\"duplicateAssemblyAtoms\\\": true});\\n\",\n       \"\\tviewer_1660222888528995.setStyle({\\\"sphere\\\": {\\\"colorscheme\\\": \\\"Jmol\\\", \\\"scale\\\": 0.25}, \\\"stick\\\": {\\\"colorscheme\\\": \\\"Jmol\\\", \\\"radius\\\": 0.1}});\\n\",\n       \"\\tviewer_1660222888528995.addUnitCell();\\n\",\n       \"\\tviewer_1660222888528995.replicateUnitCell(1,1,1);\\n\",\n       \"\\tviewer_1660222888528995.zoomTo();\\n\",\n       \"viewer_1660222888528995.render();\\n\",\n       \"});\\n\",\n       \"</script>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    },\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"<py3Dmol.view at 0x7f7c78050510>\"\n      ]\n     },\n     \"execution_count\": 9,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"# load the experimental alpha-quartz structure from the cif file\\n\",\n    \"\\n\",\n    \"lt_sio2 = pyxtal()\\n\",\n    \"lt_sio2.from_seed(\\\"lt_quartz.cif\\\")\\n\",\n    \"print(lt_sio2)\\n\",\n    \"lt_sio2.show()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 10,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"5 structures have been generated\\n\",\n      \"\\n\",\n      \"------Crystal from supergroup  0.847------\\n\",\n      \"Dimension: 3\\n\",\n      \"Composition: Si3O6\\n\",\n      \"Group: P 62 2 2 (180)\\n\",\n      \"  5.0278,   5.0278,   5.5189,  90.0000,  90.0000, 120.0000, hexagonal\\n\",\n      \"Wyckoff sites:\\n\",\n      \"\\tSi @ [ 0.5000  0.0000  0.0000], WP [3c] Site [222.]\\n\",\n      \"\\t O @ [ 0.5000  0.0000  0.7923], WP [6f] Site [2..]\\n\"\n     ]\n    },\n    {\n     \"data\": {\n      \"application/3dmoljs_load.v0\": \"<div id=\\\"3dmolviewer_1660222891680195\\\"  style=\\\"position: relative; width: 600px; height: 300px\\\">\\n        <p id=\\\"3dmolwarning_1660222891680195\\\" style=\\\"background-color:#ffcccc;color:black\\\">You appear to be running in JupyterLab (or JavaScript failed to load for some other reason).  You need to install the 3dmol extension: <br>\\n        <tt>jupyter labextension install jupyterlab_3dmol</tt></p>\\n        </div>\\n<script>\\n\\nvar loadScriptAsync = function(uri){\\n  return new Promise((resolve, reject) => {\\n    var tag = document.createElement('script');\\n    tag.src = uri;\\n    tag.async = true;\\n    tag.onload = () => {\\n      resolve();\\n    };\\n  var firstScriptTag = document.getElementsByTagName('script')[0];\\n  firstScriptTag.parentNode.insertBefore(tag, firstScriptTag);\\n});\\n};\\n\\nif(typeof $3Dmolpromise === 'undefined') {\\n$3Dmolpromise = null;\\n  $3Dmolpromise = loadScriptAsync('https://3dmol.org/build/3Dmol.js');\\n}\\n\\nvar viewer_1660222891680195 = null;\\nvar warn = document.getElementById(\\\"3dmolwarning_1660222891680195\\\");\\nif(warn) {\\n    warn.parentNode.removeChild(warn);\\n}\\n$3Dmolpromise.then(function() {\\nviewer_1660222891680195 = $3Dmol.createViewer($(\\\"#3dmolviewer_1660222891680195\\\"),{backgroundColor:\\\"white\\\"});\\nviewer_1660222891680195.zoomTo();\\n\\tviewer_1660222891680195.addModel(\\\"#############################################################\\\\n#             ______       _    _          _                #\\\\n#            (_____ \\\\\\\\     \\\\\\\\ \\\\\\\\  / /        | |               #\\\\n#             _____) )   _ \\\\\\\\ \\\\\\\\/ / |_  ____| |               #\\\\n#            |  ____/ | | | )  (|  _)/ _  | |               #\\\\n#            | |    | |_| |/ /\\\\\\\\ \\\\\\\\ |_( (_| | |___            #\\\\n#            |_|     \\\\\\\\__  /_/  \\\\\\\\_\\\\\\\\___)__|_|_____)           #\\\\n#                   (____/                                  #\\\\n#---------------------(version    0.5.1)--------------------#\\\\n#       A Python package for random crystal generation      #\\\\n#       url: https://github.com/qzhu2017/pyxtal             #\\\\n#       @Zhu's group at University of Nevada Las Vegas      #\\\\n#############################################################\\\\ndata_from_pyxtal\\\\n\\\\n_symmetry_space_group_name_H-M 'P6222'\\\\n_symmetry_Int_Tables_number                  180\\\\n_symmetry_cell_setting                 hexagonal\\\\n_cell_length_a            5.027782\\\\n_cell_length_b            5.027782\\\\n_cell_length_c            5.518918\\\\n_cell_angle_alpha        90.000000\\\\n_cell_angle_beta         90.000000\\\\n_cell_angle_gamma       120.000000\\\\n_cell_volume            120.819618\\\\n\\\\nloop_\\\\n _symmetry_equiv_pos_site_id\\\\n _symmetry_equiv_pos_as_xyz\\\\n1 'x, y, z'\\\\n2 '-y, x-y, z+2/3'\\\\n3 '-x+y, -x, z+1/3'\\\\n4 '-x, -y, z'\\\\n5 'y, -x+y, z+2/3'\\\\n6 'x-y, x, z+1/3'\\\\n7 'y, x, -z+2/3'\\\\n8 'x-y, -y, -z'\\\\n9 '-x, -x+y, -z+1/3'\\\\n10 '-y, -x, -z+2/3'\\\\n11 '-x+y, y, -z'\\\\n12 'x, x-y, -z+1/3'\\\\n\\\\nloop_\\\\n _atom_site_label\\\\n _atom_site_type_symbol\\\\n _atom_site_symmetry_multiplicity\\\\n _atom_site_fract_x\\\\n _atom_site_fract_y\\\\n _atom_site_fract_z\\\\n _atom_site_occupancy\\\\nSi     Si       3     0.500000    0.000000    0.000000 1\\\\nO      O        6     0.500000    0.000000    0.792333 1\\\\n#END\\\\n\\\\n\\\",\\\"cif\\\",{\\\"doAssembly\\\": true, \\\"duplicateAssemblyAtoms\\\": true});\\n\\tviewer_1660222891680195.setStyle({\\\"sphere\\\": {\\\"colorscheme\\\": \\\"Jmol\\\", \\\"scale\\\": 0.25}, \\\"stick\\\": {\\\"colorscheme\\\": \\\"Jmol\\\", \\\"radius\\\": 0.1}});\\n\\tviewer_1660222891680195.addUnitCell();\\n\\tviewer_1660222891680195.replicateUnitCell(1,1,1);\\n\\tviewer_1660222891680195.zoomTo();\\nviewer_1660222891680195.render();\\n});\\n</script>\",\n      \"text/html\": [\n       \"<div id=\\\"3dmolviewer_1660222891680195\\\"  style=\\\"position: relative; width: 600px; height: 300px\\\">\\n\",\n       \"        <p id=\\\"3dmolwarning_1660222891680195\\\" style=\\\"background-color:#ffcccc;color:black\\\">You appear to be running in JupyterLab (or JavaScript failed to load for some other reason).  You need to install the 3dmol extension: <br>\\n\",\n       \"        <tt>jupyter labextension install jupyterlab_3dmol</tt></p>\\n\",\n       \"        </div>\\n\",\n       \"<script>\\n\",\n       \"\\n\",\n       \"var loadScriptAsync = function(uri){\\n\",\n       \"  return new Promise((resolve, reject) => {\\n\",\n       \"    var tag = document.createElement('script');\\n\",\n       \"    tag.src = uri;\\n\",\n       \"    tag.async = true;\\n\",\n       \"    tag.onload = () => {\\n\",\n       \"      resolve();\\n\",\n       \"    };\\n\",\n       \"  var firstScriptTag = document.getElementsByTagName('script')[0];\\n\",\n       \"  firstScriptTag.parentNode.insertBefore(tag, firstScriptTag);\\n\",\n       \"});\\n\",\n       \"};\\n\",\n       \"\\n\",\n       \"if(typeof $3Dmolpromise === 'undefined') {\\n\",\n       \"$3Dmolpromise = null;\\n\",\n       \"  $3Dmolpromise = loadScriptAsync('https://3dmol.org/build/3Dmol.js');\\n\",\n       \"}\\n\",\n       \"\\n\",\n       \"var viewer_1660222891680195 = null;\\n\",\n       \"var warn = document.getElementById(\\\"3dmolwarning_1660222891680195\\\");\\n\",\n       \"if(warn) {\\n\",\n       \"    warn.parentNode.removeChild(warn);\\n\",\n       \"}\\n\",\n       \"$3Dmolpromise.then(function() {\\n\",\n       \"viewer_1660222891680195 = $3Dmol.createViewer($(\\\"#3dmolviewer_1660222891680195\\\"),{backgroundColor:\\\"white\\\"});\\n\",\n       \"viewer_1660222891680195.zoomTo();\\n\",\n       \"\\tviewer_1660222891680195.addModel(\\\"#############################################################\\\\n#             ______       _    _          _                #\\\\n#            (_____ \\\\\\\\     \\\\\\\\ \\\\\\\\  / /        | |               #\\\\n#             _____) )   _ \\\\\\\\ \\\\\\\\/ / |_  ____| |               #\\\\n#            |  ____/ | | | )  (|  _)/ _  | |               #\\\\n#            | |    | |_| |/ /\\\\\\\\ \\\\\\\\ |_( (_| | |___            #\\\\n#            |_|     \\\\\\\\__  /_/  \\\\\\\\_\\\\\\\\___)__|_|_____)           #\\\\n#                   (____/                                  #\\\\n#---------------------(version    0.5.1)--------------------#\\\\n#       A Python package for random crystal generation      #\\\\n#       url: https://github.com/qzhu2017/pyxtal             #\\\\n#       @Zhu's group at University of Nevada Las Vegas      #\\\\n#############################################################\\\\ndata_from_pyxtal\\\\n\\\\n_symmetry_space_group_name_H-M 'P6222'\\\\n_symmetry_Int_Tables_number                  180\\\\n_symmetry_cell_setting                 hexagonal\\\\n_cell_length_a            5.027782\\\\n_cell_length_b            5.027782\\\\n_cell_length_c            5.518918\\\\n_cell_angle_alpha        90.000000\\\\n_cell_angle_beta         90.000000\\\\n_cell_angle_gamma       120.000000\\\\n_cell_volume            120.819618\\\\n\\\\nloop_\\\\n _symmetry_equiv_pos_site_id\\\\n _symmetry_equiv_pos_as_xyz\\\\n1 'x, y, z'\\\\n2 '-y, x-y, z+2/3'\\\\n3 '-x+y, -x, z+1/3'\\\\n4 '-x, -y, z'\\\\n5 'y, -x+y, z+2/3'\\\\n6 'x-y, x, z+1/3'\\\\n7 'y, x, -z+2/3'\\\\n8 'x-y, -y, -z'\\\\n9 '-x, -x+y, -z+1/3'\\\\n10 '-y, -x, -z+2/3'\\\\n11 '-x+y, y, -z'\\\\n12 'x, x-y, -z+1/3'\\\\n\\\\nloop_\\\\n _atom_site_label\\\\n _atom_site_type_symbol\\\\n _atom_site_symmetry_multiplicity\\\\n _atom_site_fract_x\\\\n _atom_site_fract_y\\\\n _atom_site_fract_z\\\\n _atom_site_occupancy\\\\nSi     Si       3     0.500000    0.000000    0.000000 1\\\\nO      O        6     0.500000    0.000000    0.792333 1\\\\n#END\\\\n\\\\n\\\",\\\"cif\\\",{\\\"doAssembly\\\": true, \\\"duplicateAssemblyAtoms\\\": true});\\n\",\n       \"\\tviewer_1660222891680195.setStyle({\\\"sphere\\\": {\\\"colorscheme\\\": \\\"Jmol\\\", \\\"scale\\\": 0.25}, \\\"stick\\\": {\\\"colorscheme\\\": \\\"Jmol\\\", \\\"radius\\\": 0.1}});\\n\",\n       \"\\tviewer_1660222891680195.addUnitCell();\\n\",\n       \"\\tviewer_1660222891680195.replicateUnitCell(1,1,1);\\n\",\n       \"\\tviewer_1660222891680195.zoomTo();\\n\",\n       \"viewer_1660222891680195.render();\\n\",\n       \"});\\n\",\n       \"</script>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    },\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"<py3Dmol.view at 0x7f7c77908250>\"\n      ]\n     },\n     \"execution_count\": 10,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"# Here we search for the high temperature phase\\n\",\n    \"\\n\",\n    \"ht_sio2, _ = lt_sio2.supergroup(G=180)\\n\",\n    \"print(len(ht_sio2), \\\"structures have been generated\\\")\\n\",\n    \"print(ht_sio2[-1])\\n\",\n    \"ht_sio2[-1].show()\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"# 1.5 Exporting the structure\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 11,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"Atoms(symbols='C8', pbc=True, cell=[[4.520029655601712, 2.7677199248918747e-16, 2.7677199248918747e-16], [0.0, 4.520029655601712, 2.7677199248918747e-16], [0.0, 0.0, 4.520029655601712]])\\n\",\n      \"Full Formula (C8)\\n\",\n      \"Reduced Formula: C\\n\",\n      \"abc   :   4.520030   4.520030   4.520030\\n\",\n      \"angles:  90.000000  90.000000  90.000000\\n\",\n      \"Sites (8)\\n\",\n      \"  #  SP        a      b      c\\n\",\n      \"---  ----  -----  -----  -----\\n\",\n      \"  0  C     0.125  0.125  0.125\\n\",\n      \"  1  C     0.875  0.375  0.375\\n\",\n      \"  2  C     0.125  0.625  0.625\\n\",\n      \"  3  C     0.875  0.875  0.875\\n\",\n      \"  4  C     0.625  0.125  0.625\\n\",\n      \"  5  C     1.375  0.375  0.875\\n\",\n      \"  6  C     0.625  0.625  0.125\\n\",\n      \"  7  C     1.375  0.875  0.375\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"#In general, you can export the structure in several ways\\n\",\n    \"\\n\",\n    \"# CIF/POSCAR file\\n\",\n    \"C1.to_file(\\\"1.cif\\\")\\n\",\n    \"C1.to_ase().write(\\\"1.vasp\\\", format=\\\"vasp\\\", vasp5=True)\\n\",\n    \"\\n\",\n    \"# ASE's atoms object\\n\",\n    \"ase_struc = C1.to_ase()\\n\",\n    \"print(ase_struc)\\n\",\n    \"\\n\",\n    \"# Pymatgen object\\n\",\n    \"pmg_struc = C1.to_pymatgen()\\n\",\n    \"print(pmg_struc)\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"# 1.6 Low dimensional systems\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 12,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"application/3dmoljs_load.v0\": \"<div id=\\\"3dmolviewer_16602228932136052\\\"  style=\\\"position: relative; width: 600px; height: 300px\\\">\\n        <p id=\\\"3dmolwarning_16602228932136052\\\" style=\\\"background-color:#ffcccc;color:black\\\">You appear to be running in JupyterLab (or JavaScript failed to load for some other reason).  You need to install the 3dmol extension: <br>\\n        <tt>jupyter labextension install jupyterlab_3dmol</tt></p>\\n        </div>\\n<script>\\n\\nvar loadScriptAsync = function(uri){\\n  return new Promise((resolve, reject) => {\\n    var tag = document.createElement('script');\\n    tag.src = uri;\\n    tag.async = true;\\n    tag.onload = () => {\\n      resolve();\\n    };\\n  var firstScriptTag = document.getElementsByTagName('script')[0];\\n  firstScriptTag.parentNode.insertBefore(tag, firstScriptTag);\\n});\\n};\\n\\nif(typeof $3Dmolpromise === 'undefined') {\\n$3Dmolpromise = null;\\n  $3Dmolpromise = loadScriptAsync('https://3dmol.org/build/3Dmol.js');\\n}\\n\\nvar viewer_16602228932136052 = null;\\nvar warn = document.getElementById(\\\"3dmolwarning_16602228932136052\\\");\\nif(warn) {\\n    warn.parentNode.removeChild(warn);\\n}\\n$3Dmolpromise.then(function() {\\nviewer_16602228932136052 = $3Dmol.createViewer($(\\\"#3dmolviewer_16602228932136052\\\"),{backgroundColor:\\\"white\\\"});\\nviewer_16602228932136052.zoomTo();\\n\\tviewer_16602228932136052.addModel(\\\"# generated using pymatgen\\\\ndata_C\\\\n_symmetry_space_group_name_H-M   'P 1'\\\\n_cell_length_a   6.98605704\\\\n_cell_length_b   6.98605704\\\\n_cell_length_c   18.00000000\\\\n_cell_angle_alpha   90.00000000\\\\n_cell_angle_beta   90.00000000\\\\n_cell_angle_gamma   120.00000000\\\\n_symmetry_Int_Tables_number   1\\\\n_chemical_formula_structural   C\\\\n_chemical_formula_sum   C6\\\\n_cell_volume   760.79454794\\\\n_cell_formula_units_Z   6\\\\nloop_\\\\n _symmetry_equiv_pos_site_id\\\\n _symmetry_equiv_pos_as_xyz\\\\n  1  'x, y, z'\\\\nloop_\\\\n _atom_site_type_symbol\\\\n _atom_site_label\\\\n _atom_site_symmetry_multiplicity\\\\n _atom_site_fract_x\\\\n _atom_site_fract_y\\\\n _atom_site_fract_z\\\\n _atom_site_occupancy\\\\n  C  C0  1  0.33333333  0.66666667  0.41666667  1\\\\n  C  C1  1  0.66666667  0.33333333  0.41666667  1\\\\n  C  C2  1  0.33333333  0.66666667  0.50000000  1\\\\n  C  C3  1  0.66666667  0.33333333  0.50000000  1\\\\n  C  C4  1  0.33333333  0.66666667  0.33333333  1\\\\n  C  C5  1  0.66666667  0.33333333  0.33333333  1\\\\n\\\",\\\"cif\\\",{\\\"doAssembly\\\": true, \\\"duplicateAssemblyAtoms\\\": true});\\n\\tviewer_16602228932136052.setStyle({\\\"sphere\\\": {\\\"colorscheme\\\": \\\"Jmol\\\", \\\"scale\\\": 0.2}, \\\"stick\\\": {\\\"colorscheme\\\": \\\"Jmol\\\", \\\"radius\\\": 0.1}});\\n\\tviewer_16602228932136052.addUnitCell();\\n\\tviewer_16602228932136052.replicateUnitCell(1,1,1);\\n\\tviewer_16602228932136052.zoomTo();\\nviewer_16602228932136052.render();\\n});\\n</script>\",\n      \"text/html\": [\n       \"<div id=\\\"3dmolviewer_16602228932136052\\\"  style=\\\"position: relative; width: 600px; height: 300px\\\">\\n\",\n       \"        <p id=\\\"3dmolwarning_16602228932136052\\\" style=\\\"background-color:#ffcccc;color:black\\\">You appear to be running in JupyterLab (or JavaScript failed to load for some other reason).  You need to install the 3dmol extension: <br>\\n\",\n       \"        <tt>jupyter labextension install jupyterlab_3dmol</tt></p>\\n\",\n       \"        </div>\\n\",\n       \"<script>\\n\",\n       \"\\n\",\n       \"var loadScriptAsync = function(uri){\\n\",\n       \"  return new Promise((resolve, reject) => {\\n\",\n       \"    var tag = document.createElement('script');\\n\",\n       \"    tag.src = uri;\\n\",\n       \"    tag.async = true;\\n\",\n       \"    tag.onload = () => {\\n\",\n       \"      resolve();\\n\",\n       \"    };\\n\",\n       \"  var firstScriptTag = document.getElementsByTagName('script')[0];\\n\",\n       \"  firstScriptTag.parentNode.insertBefore(tag, firstScriptTag);\\n\",\n       \"});\\n\",\n       \"};\\n\",\n       \"\\n\",\n       \"if(typeof $3Dmolpromise === 'undefined') {\\n\",\n       \"$3Dmolpromise = null;\\n\",\n       \"  $3Dmolpromise = loadScriptAsync('https://3dmol.org/build/3Dmol.js');\\n\",\n       \"}\\n\",\n       \"\\n\",\n       \"var viewer_16602228932136052 = null;\\n\",\n       \"var warn = document.getElementById(\\\"3dmolwarning_16602228932136052\\\");\\n\",\n       \"if(warn) {\\n\",\n       \"    warn.parentNode.removeChild(warn);\\n\",\n       \"}\\n\",\n       \"$3Dmolpromise.then(function() {\\n\",\n       \"viewer_16602228932136052 = $3Dmol.createViewer($(\\\"#3dmolviewer_16602228932136052\\\"),{backgroundColor:\\\"white\\\"});\\n\",\n       \"viewer_16602228932136052.zoomTo();\\n\",\n       \"\\tviewer_16602228932136052.addModel(\\\"# generated using pymatgen\\\\ndata_C\\\\n_symmetry_space_group_name_H-M   'P 1'\\\\n_cell_length_a   6.98605704\\\\n_cell_length_b   6.98605704\\\\n_cell_length_c   18.00000000\\\\n_cell_angle_alpha   90.00000000\\\\n_cell_angle_beta   90.00000000\\\\n_cell_angle_gamma   120.00000000\\\\n_symmetry_Int_Tables_number   1\\\\n_chemical_formula_structural   C\\\\n_chemical_formula_sum   C6\\\\n_cell_volume   760.79454794\\\\n_cell_formula_units_Z   6\\\\nloop_\\\\n _symmetry_equiv_pos_site_id\\\\n _symmetry_equiv_pos_as_xyz\\\\n  1  'x, y, z'\\\\nloop_\\\\n _atom_site_type_symbol\\\\n _atom_site_label\\\\n _atom_site_symmetry_multiplicity\\\\n _atom_site_fract_x\\\\n _atom_site_fract_y\\\\n _atom_site_fract_z\\\\n _atom_site_occupancy\\\\n  C  C0  1  0.33333333  0.66666667  0.41666667  1\\\\n  C  C1  1  0.66666667  0.33333333  0.41666667  1\\\\n  C  C2  1  0.33333333  0.66666667  0.50000000  1\\\\n  C  C3  1  0.66666667  0.33333333  0.50000000  1\\\\n  C  C4  1  0.33333333  0.66666667  0.33333333  1\\\\n  C  C5  1  0.66666667  0.33333333  0.33333333  1\\\\n\\\",\\\"cif\\\",{\\\"doAssembly\\\": true, \\\"duplicateAssemblyAtoms\\\": true});\\n\",\n       \"\\tviewer_16602228932136052.setStyle({\\\"sphere\\\": {\\\"colorscheme\\\": \\\"Jmol\\\", \\\"scale\\\": 0.2}, \\\"stick\\\": {\\\"colorscheme\\\": \\\"Jmol\\\", \\\"radius\\\": 0.1}});\\n\",\n       \"\\tviewer_16602228932136052.addUnitCell();\\n\",\n       \"\\tviewer_16602228932136052.replicateUnitCell(1,1,1);\\n\",\n       \"\\tviewer_16602228932136052.zoomTo();\\n\",\n       \"viewer_16602228932136052.render();\\n\",\n       \"});\\n\",\n       \"</script>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    },\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"<py3Dmol.view at 0x7f7c77ca9510>\"\n      ]\n     },\n     \"execution_count\": 12,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"# An example to generate 2D atomic crystal\\n\",\n    \"C3 = pyxtal()\\n\",\n    \"C3.from_random(2, 75, [\\\"C\\\"], [6], thickness=0.0)\\n\",\n    \"C3.show(scale=0.2)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 13,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"name\": \"stderr\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"==============================\\n\",\n      \"*** Open Babel Error  in LoadAllPlugins\\n\",\n      \"  Unable to find OpenBabel plugins. Try setting the BABEL_LIBDIR environment variable.\\n\"\n     ]\n    },\n    {\n     \"data\": {\n      \"application/3dmoljs_load.v0\": \"<div id=\\\"3dmolviewer_1660222900091796\\\"  style=\\\"position: relative; width: 600px; height: 300px\\\">\\n        <p id=\\\"3dmolwarning_1660222900091796\\\" style=\\\"background-color:#ffcccc;color:black\\\">You appear to be running in JupyterLab (or JavaScript failed to load for some other reason).  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    "content": "{\n \"cells\": [\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"# Tutorial 2: Molecular crystal module in PyXtal\\n\",\n    \"\\n\",\n    \"Source code: https://github.com/qzhu2017/PyXtal\\n\",\n    \"\\n\",\n    \"Created by Qiang Zhu (2020/11/23)\\n\",\n    \"\\n\",\n    \"Last updated: 2022/08/11\\n\",\n    \"\\n\",\n    \"\\n\",\n    \"# 2.1 Generate a random crystal\\n\",\n    \"\\n\",\n    \"To use the code, just import the following module\\n\",\n    \"```python\\n\",\n    \"from pyxtal import pyxtal\\n\",\n    \"s = pyxtal(molecular=True)\\n\",\n    \"```\\n\",\n    \"\\n\",\n    \"Ideally, one just needs to define the following parameters:\\n\",\n    \"- dimension: 1, 2 or 3\\n\",\n    \"- group: integer number from 1 to 230\\n\",\n    \"- molecules: a list of molecules, e.g. ['H2O']\\n\",\n    \"- number of molecules: a list of numbers, e.g. [4]\\n\",\n    \"\\n\",\n    \"More details can be found at the following [link](https://pyxtal.readthedocs.io/en/latest)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 1,\n   \"metadata\": {\n    \"scrolled\": true\n   },\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"\\n\",\n      \"------Crystal from random------\\n\",\n      \"Dimension: 3\\n\",\n      \"Composition: [h2o]4\\n\",\n      \"Group: P 21 21 21 (19)\\n\",\n      \"  3.8693,   7.5272,   6.8579,  90.0000,  90.0000,  90.0000, orthorhombic\\n\",\n      \"Wyckoff sites:\\n\",\n      \"\\tH2O1         @ [ 0.8354  0.0503  0.6503]  WP [4a] Site [1] Euler [ 138.9  -51.6   46.1]\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"from pyxtal import pyxtal\\n\",\n    \"\\n\",\n    \"h2o = pyxtal(molecular=True)\\n\",\n    \"h2o.from_random(3, 19, [\\\"h2o\\\"], [4])\\n\",\n    \"print(h2o)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 2,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"application/3dmoljs_load.v0\": \"<div id=\\\"3dmolviewer_16602230499179368\\\"  style=\\\"position: relative; width: 600px; height: 300px\\\">\\n        <p id=\\\"3dmolwarning_16602230499179368\\\" style=\\\"background-color:#ffcccc;color:black\\\">You appear to be running in JupyterLab (or JavaScript failed to load for some other reason).  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\\\\\\\\__  /_/  \\\\\\\\_\\\\\\\\___)__|_|_____)           #\\\\n#                   (____/                                  #\\\\n#---------------------(version    0.5.1)--------------------#\\\\n#       A Python package for random crystal generation      #\\\\n#       url: https://github.com/qzhu2017/pyxtal             #\\\\n#       @Zhu's group at University of Nevada Las Vegas      #\\\\n#############################################################\\\\ndata_from_pyxtal\\\\n\\\\n_symmetry_space_group_name_H-M 'P1'\\\\n_symmetry_Int_Tables_number                    1\\\\n_symmetry_cell_setting                 triclinic\\\\n_cell_length_a            3.869327\\\\n_cell_length_b            7.527248\\\\n_cell_length_c            6.857928\\\\n_cell_angle_alpha        90.000000\\\\n_cell_angle_beta         90.000000\\\\n_cell_angle_gamma        90.000000\\\\n_cell_volume            199.739805\\\\n\\\\nloop_\\\\n _symmetry_equiv_pos_site_id\\\\n _symmetry_equiv_pos_as_xyz\\\\n1 'x, y, z'\\\\n\\\\nloop_\\\\n _atom_site_label\\\\n _atom_site_type_symbol\\\\n _atom_site_symmetry_multiplicity\\\\n _atom_site_fract_x\\\\n _atom_site_fract_y\\\\n _atom_site_fract_z\\\\n _atom_site_occupancy\\\\nO      O        4     0.923014    0.063971    0.623951 1\\\\nH      H        4     0.881334    0.049900    0.762416 1\\\\nH      H        4     0.701786    0.037157    0.564638 1\\\\n#END\\\\n\\\\n#############################################################\\\\n#             ______       _    _          _                #\\\\n#            (_____ \\\\\\\\     \\\\\\\\ \\\\\\\\  / /        | |               #\\\\n#             _____) )   _ \\\\\\\\ \\\\\\\\/ / |_  ____| |               #\\\\n#            |  ____/ | | | )  (|  _)/ _  | |               #\\\\n#            | |    | |_| |/ /\\\\\\\\ \\\\\\\\ |_( (_| | |___            #\\\\n#            |_|     \\\\\\\\__  /_/  \\\\\\\\_\\\\\\\\___)__|_|_____)           #\\\\n#                   (____/                                  #\\\\n#---------------------(version    0.5.1)--------------------#\\\\n#       A Python package for random crystal generation      #\\\\n#       url: https://github.com/qzhu2017/pyxtal             #\\\\n#       @Zhu's group at University of Nevada Las Vegas      #\\\\n#############################################################\\\\ndata_from_pyxtal\\\\n\\\\n_symmetry_space_group_name_H-M 'P1'\\\\n_symmetry_Int_Tables_number                    1\\\\n_symmetry_cell_setting                 triclinic\\\\n_cell_length_a            3.869327\\\\n_cell_length_b            7.527248\\\\n_cell_length_c            6.857928\\\\n_cell_angle_alpha        90.000000\\\\n_cell_angle_beta         90.000000\\\\n_cell_angle_gamma        90.000000\\\\n_cell_volume            199.739805\\\\n\\\\nloop_\\\\n _symmetry_equiv_pos_site_id\\\\n _symmetry_equiv_pos_as_xyz\\\\n1 'x, y, z'\\\\n\\\\nloop_\\\\n _atom_site_label\\\\n _atom_site_type_symbol\\\\n _atom_site_symmetry_multiplicity\\\\n _atom_site_fract_x\\\\n _atom_site_fract_y\\\\n _atom_site_fract_z\\\\n _atom_site_occupancy\\\\nO      O        4     0.923014    0.063971    0.623951 1\\\\nH      H        4     0.881334    0.049900    0.762416 1\\\\nH      H        4     0.701786    0.037157    0.564638 1\\\\nO      O        4     0.576986    0.936029    0.123951 1\\\\nH      H        4     0.618666    0.950100    0.262416 1\\\\nH      H        4     0.798214    0.962843    0.064638 1\\\\n#END\\\\n\\\\n#############################################################\\\\n#             ______       _    _          _                #\\\\n#            (_____ \\\\\\\\     \\\\\\\\ \\\\\\\\  / /        | |               #\\\\n#             _____) )   _ \\\\\\\\ \\\\\\\\/ / |_  ____| |               #\\\\n#            |  ____/ | | | )  (|  _)/ _  | |               #\\\\n#            | |    | |_| |/ /\\\\\\\\ \\\\\\\\ |_( (_| | |___            #\\\\n#            |_|     \\\\\\\\__  /_/  \\\\\\\\_\\\\\\\\___)__|_|_____)           #\\\\n#                   (____/                                  #\\\\n#---------------------(version    0.5.1)--------------------#\\\\n#       A Python package for random crystal generation      #\\\\n#       url: https://github.com/qzhu2017/pyxtal             #\\\\n#       @Zhu's group at University of Nevada Las Vegas      #\\\\n#############################################################\\\\ndata_from_pyxtal\\\\n\\\\n_symmetry_space_group_name_H-M 'P1'\\\\n_symmetry_Int_Tables_number                    1\\\\n_symmetry_cell_setting                 triclinic\\\\n_cell_length_a            3.869327\\\\n_cell_length_b            7.527248\\\\n_cell_length_c            6.857928\\\\n_cell_angle_alpha        90.000000\\\\n_cell_angle_beta         90.000000\\\\n_cell_angle_gamma        90.000000\\\\n_cell_volume            199.739805\\\\n\\\\nloop_\\\\n _symmetry_equiv_pos_site_id\\\\n _symmetry_equiv_pos_as_xyz\\\\n1 'x, y, z'\\\\n\\\\nloop_\\\\n _atom_site_label\\\\n _atom_site_type_symbol\\\\n _atom_site_symmetry_multiplicity\\\\n _atom_site_fract_x\\\\n _atom_site_fract_y\\\\n _atom_site_fract_z\\\\n _atom_site_occupancy\\\\nO      O        4     0.923014    0.063971    0.623951 1\\\\nH      H        4     0.881334    0.049900    0.762416 1\\\\nH      H        4     0.701786    0.037157    0.564638 1\\\\nO      O        4     0.576986    0.936029    0.123951 1\\\\nH      H        4     0.618666    0.950100    0.262416 1\\\\nH      H        4     0.798214    0.962843    0.064638 1\\\\nO      O        4     0.076986    0.563971    0.876049 1\\\\nH      H        4     0.118666    0.549900    0.737584 1\\\\nH      H        4     0.298214    0.537157    0.935362 1\\\\n#END\\\\n\\\\n#############################################################\\\\n#             ______       _    _          _                #\\\\n#            (_____ \\\\\\\\     \\\\\\\\ \\\\\\\\  / /        | |               #\\\\n#             _____) )   _ \\\\\\\\ \\\\\\\\/ / |_  ____| |               #\\\\n#            |  ____/ | | | )  (|  _)/ _  | |               #\\\\n#            | |    | |_| |/ /\\\\\\\\ \\\\\\\\ |_( (_| | |___            #\\\\n#            |_|     \\\\\\\\__  /_/  \\\\\\\\_\\\\\\\\___)__|_|_____)           #\\\\n#                   (____/                                  #\\\\n#---------------------(version    0.5.1)--------------------#\\\\n#       A Python package for random crystal generation      #\\\\n#       url: https://github.com/qzhu2017/pyxtal             #\\\\n#       @Zhu's group at University of Nevada Las Vegas      #\\\\n#############################################################\\\\ndata_from_pyxtal\\\\n\\\\n_symmetry_space_group_name_H-M 'P1'\\\\n_symmetry_Int_Tables_number                    1\\\\n_symmetry_cell_setting                 triclinic\\\\n_cell_length_a            3.869327\\\\n_cell_length_b            7.527248\\\\n_cell_length_c            6.857928\\\\n_cell_angle_alpha        90.000000\\\\n_cell_angle_beta         90.000000\\\\n_cell_angle_gamma        90.000000\\\\n_cell_volume            199.739805\\\\n\\\\nloop_\\\\n _symmetry_equiv_pos_site_id\\\\n _symmetry_equiv_pos_as_xyz\\\\n1 'x, y, z'\\\\n\\\\nloop_\\\\n _atom_site_label\\\\n _atom_site_type_symbol\\\\n _atom_site_symmetry_multiplicity\\\\n _atom_site_fract_x\\\\n _atom_site_fract_y\\\\n _atom_site_fract_z\\\\n _atom_site_occupancy\\\\nO      O        4     0.923014    0.063971    0.623951 1\\\\nH      H        4     0.881334    0.049900    0.762416 1\\\\nH      H        4     0.701786    0.037157    0.564638 1\\\\nO      O        4     0.576986    0.936029    0.123951 1\\\\nH      H        4     0.618666    0.950100    0.262416 1\\\\nH      H        4     0.798214    0.962843    0.064638 1\\\\nO      O        4     0.076986    0.563971    0.876049 1\\\\nH      H        4     0.118666    0.549900    0.737584 1\\\\nH      H        4     0.298214    0.537157    0.935362 1\\\\nO      O        4     0.423014    0.436029    0.376049 1\\\\nH      H        4     0.381334    0.450100    0.237584 1\\\\nH      H        4     0.201786    0.462843    0.435362 1\\\\n#END\\\\n\\\\n\\\",\\\"cif\\\");\\n\",\n       \"\\tviewer_1660223049938318.animate({\\\"loop\\\": \\\"forward\\\", \\\"interval\\\": 1000});\\n\",\n       \"\\tviewer_1660223049938318.addUnitCell();\\n\",\n       \"\\tviewer_1660223049938318.setStyle({\\\"model\\\": 0},{\\\"stick\\\": {\\\"colorscheme\\\": \\\"greenCarbon\\\"}});\\n\",\n       \"\\tviewer_1660223049938318.zoomTo();\\n\",\n       \"viewer_1660223049938318.render();\\n\",\n       \"});\\n\",\n       \"</script>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    },\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"<py3Dmol.view at 0x7f9906ba0f10>\"\n      ]\n     },\n     \"execution_count\": 3,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"# It is also fun to check how the structure is generated from a simple animation\\n\",\n    \"h2o.show(size=(400, 300), animation=True, interval=1000)\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"# 2.2 Crystal with molecules at the special Wyckoff positions\\n\",\n    \"\\n\",\n    \"In addition to the general `Wyckoff positions` (WP), there are also special WPs which have the `site symmetries` more than the identify operation. If the `molecular symmetry` is compatible with the site symmetry, the molecules can also take the special WPs. In that event, the molecules have less degree of freedom and they can only rotate in a limited range. `PyXtal` takes care of this when dealing the structural manipulation.\\n\",\n    \"\\n\",\n    \"Below is an example to show the water molecules occupy the 4a site in space group Cmc21(36).\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 4,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"\\n\",\n      \"------Crystal from random------\\n\",\n      \"Dimension: 3\\n\",\n      \"Composition: [h2o]4\\n\",\n      \"Group: P 21 21 21 (19)\\n\",\n      \"  3.8693,   7.5272,   6.8579,  90.0000,  90.0000,  90.0000, orthorhombic\\n\",\n      \"Wyckoff sites:\\n\",\n      \"\\tH2O1         @ [ 0.8354  0.0503  0.6503]  WP [4a] Site [1] Euler [ 138.9  -51.6   46.1]\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"from pyxtal import pyxtal\\n\",\n    \"\\n\",\n    \"h2o_36 = pyxtal(molecular=True)\\n\",\n    \"h2o_36.from_random(3, 36, [\\\"H2O\\\"], [4])\\n\",\n    \"print(h2o)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 5,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"application/vnd.jupyter.widget-view+json\": {\n       \"model_id\": \"d9b4b4c208e64d938cdaa1712474ec19\",\n       \"version_major\": 2,\n       \"version_minor\": 0\n      },\n      \"text/plain\": [\n       \"interactive(children=(IntSlider(value=0, description='id:', max=3), Output()), _dom_classes=('widget-interact'…\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"# Below is a script to show how the molecules rotate around the allowed axis\\n\",\n    \"ax = h2o_36.mol_sites[0].orientation.axis\\n\",\n    \"\\n\",\n    \"strucs = []\\n\",\n    \"for angle in [90, 180, 270, 360]:\\n\",\n    \"    struc = h2o_36.copy()\\n\",\n    \"    struc.mol_sites[0].rotate(ax_vector=ax, angle=angle)\\n\",\n    \"    strucs.append(struc)\\n\",\n    \"\\n\",\n    \"from pyxtal.viz import display_mol_crystals\\n\",\n    \"\\n\",\n    \"display_mol_crystals(strucs, axis=2*ax)\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"# 2.3 2D and 1D Crystals \"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 6,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"application/3dmoljs_load.v0\": \"<div id=\\\"3dmolviewer_1660223050472499\\\"  style=\\\"position: relative; width: 600px; height: 300px\\\">\\n        <p id=\\\"3dmolwarning_1660223050472499\\\" style=\\\"background-color:#ffcccc;color:black\\\">You appear to be running in JupyterLab (or JavaScript failed to load for some other reason).  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You need to install the 3dmol extension: <br>\\n\",\n       \"        <tt>jupyter labextension install jupyterlab_3dmol</tt></p>\\n\",\n       \"        </div>\\n\",\n       \"<script>\\n\",\n       \"\\n\",\n       \"var loadScriptAsync = function(uri){\\n\",\n       \"  return new Promise((resolve, reject) => {\\n\",\n       \"    var tag = document.createElement('script');\\n\",\n       \"    tag.src = uri;\\n\",\n       \"    tag.async = true;\\n\",\n       \"    tag.onload = () => {\\n\",\n       \"      resolve();\\n\",\n       \"    };\\n\",\n       \"  var firstScriptTag = document.getElementsByTagName('script')[0];\\n\",\n       \"  firstScriptTag.parentNode.insertBefore(tag, firstScriptTag);\\n\",\n       \"});\\n\",\n       \"};\\n\",\n       \"\\n\",\n       \"if(typeof $3Dmolpromise === 'undefined') {\\n\",\n       \"$3Dmolpromise = null;\\n\",\n       \"  $3Dmolpromise = loadScriptAsync('https://3dmol.org/build/3Dmol.js');\\n\",\n       \"}\\n\",\n       \"\\n\",\n       \"var viewer_1660223050472499 = null;\\n\",\n       \"var warn = document.getElementById(\\\"3dmolwarning_1660223050472499\\\");\\n\",\n       \"if(warn) {\\n\",\n       \"    warn.parentNode.removeChild(warn);\\n\",\n       \"}\\n\",\n       \"$3Dmolpromise.then(function() {\\n\",\n       \"viewer_1660223050472499 = $3Dmol.createViewer($(\\\"#3dmolviewer_1660223050472499\\\"),{backgroundColor:\\\"white\\\"});\\n\",\n       \"viewer_1660223050472499.zoomTo();\\n\",\n       \"\\tviewer_1660223050472499.addModel(\\\"# generated using pymatgen\\\\ndata_H2O\\\\n_symmetry_space_group_name_H-M   'P 1'\\\\n_cell_length_a   24.36324217\\\\n_cell_length_b   24.36324217\\\\n_cell_length_c   7.89228451\\\\n_cell_angle_alpha   90.00000000\\\\n_cell_angle_beta   90.00000000\\\\n_cell_angle_gamma   120.00000000\\\\n_symmetry_Int_Tables_number   1\\\\n_chemical_formula_structural   H2O\\\\n_chemical_formula_sum   'H24 O12'\\\\n_cell_volume   4056.98618145\\\\n_cell_formula_units_Z   12\\\\nloop_\\\\n _symmetry_equiv_pos_site_id\\\\n _symmetry_equiv_pos_as_xyz\\\\n  1  'x, y, z'\\\\nloop_\\\\n _atom_site_type_symbol\\\\n _atom_site_label\\\\n _atom_site_symmetry_multiplicity\\\\n _atom_site_fract_x\\\\n _atom_site_fract_y\\\\n _atom_site_fract_z\\\\n _atom_site_occupancy\\\\n  H  H0  1  0.43014005  0.57358103  0.15326381  1\\\\n  H  H1  1  0.43014005  0.57358103  0.34673614  1\\\\n  H  H2  1  0.65177407  0.85655902  0.15326381  1\\\\n  H  H3  1  0.65177407  0.85655902  0.34673614  1\\\\n  H  H4  1  0.36879609  0.79521506  0.15326381  1\\\\n  H  H5  1  0.36879609  0.79521506  0.34673614  1\\\\n  H  H6  1  0.66510622  0.78188291  0.65326381  1\\\\n  H  H7  1  0.66510622  0.78188291  0.84673614  1\\\\n  H  H8  1  0.44347220  0.49890492  0.65326381  1\\\\n  H  H9  1  0.44347220  0.49890492  0.84673614  1\\\\n  H  H10  1  0.72645018  0.56024888  0.65326381  1\\\\n  H  H11  1  0.72645018  0.56024888  0.84673614  1\\\\n  H  H12  1  0.44347220  0.56024888  0.84673619  1\\\\n  H  H13  1  0.44347220  0.56024888  0.65326386  1\\\\n  H  H14  1  0.72645018  0.78188291  0.84673619  1\\\\n  H  H15  1  0.72645018  0.78188291  0.65326386  1\\\\n  H  H16  1  0.66510622  0.49890492  0.84673619  1\\\\n  H  H17  1  0.66510622  0.49890492  0.65326386  1\\\\n  H  H18  1  0.65177407  0.79521506  0.34673619  1\\\\n  H  H19  1  0.65177407  0.79521506  0.15326386  1\\\\n  H  H20  1  0.36879609  0.57358103  0.34673619  1\\\\n  H  H21  1  0.36879609  0.57358103  0.15326386  1\\\\n  H  H22  1  0.43014005  0.85655902  0.34673619  1\\\\n  H  H23  1  0.43014005  0.85655902  0.15326386  1\\\\n  O  O24  1  0.43620912  0.55269425  0.25000005  1\\\\n  O  O25  1  0.67266086  0.88351487  0.25000005  1\\\\n  O  O26  1  0.34184024  0.78914599  0.25000005  1\\\\n  O  O27  1  0.65903716  0.80276969  0.75000005  1\\\\n  O  O28  1  0.42258542  0.47194907  0.75000005  1\\\\n  O  O29  1  0.75340604  0.56631795  0.75000005  1\\\\n  O  O30  1  0.42258542  0.56631795  0.74999995  1\\\\n  O  O31  1  0.75340604  0.80276969  0.74999995  1\\\\n  O  O32  1  0.65903716  0.47194907  0.74999995  1\\\\n  O  O33  1  0.67266086  0.78914599  0.24999995  1\\\\n  O  O34  1  0.34184024  0.55269425  0.24999995  1\\\\n  O  O35  1  0.43620912  0.88351487  0.24999995  1\\\\n\\\",\\\"cif\\\",{\\\"doAssembly\\\": true, \\\"duplicateAssemblyAtoms\\\": true, \\\"normalizeAssembly\\\": true});\\n\",\n       \"\\tviewer_1660223050472499.setStyle({\\\"stick\\\": {\\\"colorscheme\\\": \\\"greenCarbon\\\"}});\\n\",\n       \"\\tviewer_1660223050472499.addUnitCell();\\n\",\n       \"\\tviewer_1660223050472499.replicateUnitCell(1,1,3);\\n\",\n       \"\\tviewer_1660223050472499.zoomTo();\\n\",\n       \"viewer_1660223050472499.render();\\n\",\n       \"});\\n\",\n       \"</script>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    },\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"<py3Dmol.view at 0x7f9906e855d0>\"\n      ]\n     },\n     \"execution_count\": 6,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"h2o_1D = pyxtal(molecular=True)\\n\",\n    \"h2o_1D.from_random(1, 75, [\\\"H2O\\\"], [12])\\n\",\n    \"#print(h2o_1D)\\n\",\n    \"h2o_1D.show(supercell=(1,1,3))\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 7,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"application/3dmoljs_load.v0\": \"<div id=\\\"3dmolviewer_166022305058199\\\"  style=\\\"position: relative; width: 600px; height: 300px\\\">\\n        <p id=\\\"3dmolwarning_166022305058199\\\" style=\\\"background-color:#ffcccc;color:black\\\">You appear to be running in JupyterLab (or JavaScript failed to load for some other reason).  You need to install the 3dmol extension: <br>\\n        <tt>jupyter labextension install jupyterlab_3dmol</tt></p>\\n        </div>\\n<script>\\n\\nvar loadScriptAsync = function(uri){\\n  return new Promise((resolve, reject) => {\\n    var tag = document.createElement('script');\\n    tag.src = uri;\\n    tag.async = true;\\n    tag.onload = () => {\\n      resolve();\\n    };\\n  var firstScriptTag = document.getElementsByTagName('script')[0];\\n  firstScriptTag.parentNode.insertBefore(tag, firstScriptTag);\\n});\\n};\\n\\nif(typeof $3Dmolpromise === 'undefined') {\\n$3Dmolpromise = null;\\n  $3Dmolpromise = loadScriptAsync('https://3dmol.org/build/3Dmol.js');\\n}\\n\\nvar viewer_166022305058199 = null;\\nvar warn = document.getElementById(\\\"3dmolwarning_166022305058199\\\");\\nif(warn) {\\n    warn.parentNode.removeChild(warn);\\n}\\n$3Dmolpromise.then(function() {\\nviewer_166022305058199 = $3Dmol.createViewer($(\\\"#3dmolviewer_166022305058199\\\"),{backgroundColor:\\\"white\\\"});\\nviewer_166022305058199.zoomTo();\\n\\tviewer_166022305058199.addModel(\\\"# generated using pymatgen\\\\ndata_H2O\\\\n_symmetry_space_group_name_H-M   'P 1'\\\\n_cell_length_a   9.08145957\\\\n_cell_length_b   7.33141347\\\\n_cell_length_c   18.00000000\\\\n_cell_angle_alpha   90.00000000\\\\n_cell_angle_beta   90.00000000\\\\n_cell_angle_gamma   90.00000000\\\\n_symmetry_Int_Tables_number   1\\\\n_chemical_formula_structural   H2O\\\\n_chemical_formula_sum   'H8 O4'\\\\n_cell_volume   1198.43882989\\\\n_cell_formula_units_Z   4\\\\nloop_\\\\n _symmetry_equiv_pos_site_id\\\\n _symmetry_equiv_pos_as_xyz\\\\n  1  'x, y, z'\\\\nloop_\\\\n _atom_site_type_symbol\\\\n _atom_site_label\\\\n _atom_site_symmetry_multiplicity\\\\n _atom_site_fract_x\\\\n _atom_site_fract_y\\\\n _atom_site_fract_z\\\\n _atom_site_occupancy\\\\n  H  H0  1  0.32683303  0.33492625  0.50099883  1\\\\n  H  H1  1  0.34802056  0.12837793  0.49889003  1\\\\n  H  H2  1  0.67316697  0.66507375  0.50099883  1\\\\n  H  H3  1  0.65197944  0.87162207  0.49889003  1\\\\n  H  H4  1  0.82683303  0.16507375  0.50099883  1\\\\n  H  H5  1  0.84802056  0.37162207  0.49889003  1\\\\n  H  H6  1  0.17316697  0.83492625  0.50099883  1\\\\n  H  H7  1  0.15197944  0.62837793  0.49889003  1\\\\n  O  O8  1  0.27224714  0.22138271  0.50011113  1\\\\n  O  O9  1  0.72775286  0.77861729  0.50011113  1\\\\n  O  O10  1  0.77224714  0.27861729  0.50011113  1\\\\n  O  O11  1  0.22775286  0.72138271  0.50011113  1\\\\n\\\",\\\"cif\\\",{\\\"doAssembly\\\": true, \\\"duplicateAssemblyAtoms\\\": true, \\\"normalizeAssembly\\\": true});\\n\\tviewer_166022305058199.setStyle({\\\"stick\\\": {\\\"colorscheme\\\": \\\"greenCarbon\\\"}});\\n\\tviewer_166022305058199.addUnitCell();\\n\\tviewer_166022305058199.replicateUnitCell(2,2,1);\\n\\tviewer_166022305058199.zoomTo();\\nviewer_166022305058199.render();\\n});\\n</script>\",\n      \"text/html\": [\n       \"<div id=\\\"3dmolviewer_166022305058199\\\"  style=\\\"position: relative; width: 600px; height: 300px\\\">\\n\",\n       \"        <p id=\\\"3dmolwarning_166022305058199\\\" style=\\\"background-color:#ffcccc;color:black\\\">You appear to be running in JupyterLab (or JavaScript failed to load for some other reason).  You need to install the 3dmol extension: <br>\\n\",\n       \"        <tt>jupyter labextension install jupyterlab_3dmol</tt></p>\\n\",\n       \"        </div>\\n\",\n       \"<script>\\n\",\n       \"\\n\",\n       \"var loadScriptAsync = function(uri){\\n\",\n       \"  return new Promise((resolve, reject) => {\\n\",\n       \"    var tag = document.createElement('script');\\n\",\n       \"    tag.src = uri;\\n\",\n       \"    tag.async = true;\\n\",\n       \"    tag.onload = () => {\\n\",\n       \"      resolve();\\n\",\n       \"    };\\n\",\n       \"  var firstScriptTag = document.getElementsByTagName('script')[0];\\n\",\n       \"  firstScriptTag.parentNode.insertBefore(tag, firstScriptTag);\\n\",\n       \"});\\n\",\n       \"};\\n\",\n       \"\\n\",\n       \"if(typeof $3Dmolpromise === 'undefined') {\\n\",\n       \"$3Dmolpromise = null;\\n\",\n       \"  $3Dmolpromise = loadScriptAsync('https://3dmol.org/build/3Dmol.js');\\n\",\n       \"}\\n\",\n       \"\\n\",\n       \"var viewer_166022305058199 = null;\\n\",\n       \"var warn = document.getElementById(\\\"3dmolwarning_166022305058199\\\");\\n\",\n       \"if(warn) {\\n\",\n       \"    warn.parentNode.removeChild(warn);\\n\",\n       \"}\\n\",\n       \"$3Dmolpromise.then(function() {\\n\",\n       \"viewer_166022305058199 = $3Dmol.createViewer($(\\\"#3dmolviewer_166022305058199\\\"),{backgroundColor:\\\"white\\\"});\\n\",\n       \"viewer_166022305058199.zoomTo();\\n\",\n       \"\\tviewer_166022305058199.addModel(\\\"# generated using pymatgen\\\\ndata_H2O\\\\n_symmetry_space_group_name_H-M   'P 1'\\\\n_cell_length_a   9.08145957\\\\n_cell_length_b   7.33141347\\\\n_cell_length_c   18.00000000\\\\n_cell_angle_alpha   90.00000000\\\\n_cell_angle_beta   90.00000000\\\\n_cell_angle_gamma   90.00000000\\\\n_symmetry_Int_Tables_number   1\\\\n_chemical_formula_structural   H2O\\\\n_chemical_formula_sum   'H8 O4'\\\\n_cell_volume   1198.43882989\\\\n_cell_formula_units_Z   4\\\\nloop_\\\\n _symmetry_equiv_pos_site_id\\\\n _symmetry_equiv_pos_as_xyz\\\\n  1  'x, y, z'\\\\nloop_\\\\n _atom_site_type_symbol\\\\n _atom_site_label\\\\n _atom_site_symmetry_multiplicity\\\\n _atom_site_fract_x\\\\n _atom_site_fract_y\\\\n _atom_site_fract_z\\\\n _atom_site_occupancy\\\\n  H  H0  1  0.32683303  0.33492625  0.50099883  1\\\\n  H  H1  1  0.34802056  0.12837793  0.49889003  1\\\\n  H  H2  1  0.67316697  0.66507375  0.50099883  1\\\\n  H  H3  1  0.65197944  0.87162207  0.49889003  1\\\\n  H  H4  1  0.82683303  0.16507375  0.50099883  1\\\\n  H  H5  1  0.84802056  0.37162207  0.49889003  1\\\\n  H  H6  1  0.17316697  0.83492625  0.50099883  1\\\\n  H  H7  1  0.15197944  0.62837793  0.49889003  1\\\\n  O  O8  1  0.27224714  0.22138271  0.50011113  1\\\\n  O  O9  1  0.72775286  0.77861729  0.50011113  1\\\\n  O  O10  1  0.77224714  0.27861729  0.50011113  1\\\\n  O  O11  1  0.22775286  0.72138271  0.50011113  1\\\\n\\\",\\\"cif\\\",{\\\"doAssembly\\\": true, \\\"duplicateAssemblyAtoms\\\": true, \\\"normalizeAssembly\\\": true});\\n\",\n       \"\\tviewer_166022305058199.setStyle({\\\"stick\\\": {\\\"colorscheme\\\": \\\"greenCarbon\\\"}});\\n\",\n       \"\\tviewer_166022305058199.addUnitCell();\\n\",\n       \"\\tviewer_166022305058199.replicateUnitCell(2,2,1);\\n\",\n       \"\\tviewer_166022305058199.zoomTo();\\n\",\n       \"viewer_166022305058199.render();\\n\",\n       \"});\\n\",\n       \"</script>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    },\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"<py3Dmol.view at 0x7f98e70eb690>\"\n      ]\n     },\n     \"execution_count\": 7,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"h2o_2D = pyxtal(molecular=True)\\n\",\n    \"h2o_2D.from_random(2, 25, [\\\"H2O\\\"], [4], thickness=0)\\n\",\n    \"#print(h2o_2D)\\n\",\n    \"h2o_2D.show(supercell=(2,2,1))\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"# 2.4 Subgroup\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 8,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"\\n\",\n      \"------Crystal from Seed------\\n\",\n      \"Dimension: 3\\n\",\n      \"Composition: [aspirin]4\\n\",\n      \"Group: P 1 21/c 1 (14)\\n\",\n      \" 11.2330,   6.5440,  11.2310,  90.0000,  95.8900,  90.0000, monoclinic\\n\",\n      \"Wyckoff sites:\\n\",\n      \"\\tH8C9O4       @ [ 0.2414  0.5782  0.0168]  WP [4e] Site [1] Euler [   0.0    0.0    0.0]\\n\"\n     ]\n    },\n    {\n     \"data\": {\n      \"application/3dmoljs_load.v0\": \"<div id=\\\"3dmolviewer_1660223051257\\\"  style=\\\"position: relative; width: 600px; height: 300px\\\">\\n        <p id=\\\"3dmolwarning_1660223051257\\\" style=\\\"background-color:#ffcccc;color:black\\\">You appear to be running in JupyterLab (or JavaScript failed to load for some other reason).  You need to install the 3dmol extension: <br>\\n        <tt>jupyter labextension install jupyterlab_3dmol</tt></p>\\n        </div>\\n<script>\\n\\nvar loadScriptAsync = function(uri){\\n  return new Promise((resolve, reject) => {\\n    var tag = document.createElement('script');\\n    tag.src = uri;\\n    tag.async = true;\\n    tag.onload = () => {\\n      resolve();\\n    };\\n  var firstScriptTag = document.getElementsByTagName('script')[0];\\n  firstScriptTag.parentNode.insertBefore(tag, firstScriptTag);\\n});\\n};\\n\\nif(typeof $3Dmolpromise === 'undefined') {\\n$3Dmolpromise = null;\\n  $3Dmolpromise = loadScriptAsync('https://3dmol.org/build/3Dmol.js');\\n}\\n\\nvar viewer_1660223051257 = null;\\nvar warn = document.getElementById(\\\"3dmolwarning_1660223051257\\\");\\nif(warn) {\\n    warn.parentNode.removeChild(warn);\\n}\\n$3Dmolpromise.then(function() {\\nviewer_1660223051257 = $3Dmol.createViewer($(\\\"#3dmolviewer_1660223051257\\\"),{backgroundColor:\\\"white\\\"});\\nviewer_1660223051257.zoomTo();\\n\\tviewer_1660223051257.addModel(\\\"#############################################################\\\\n#             ______       _    _          _                #\\\\n#            (_____ \\\\\\\\     \\\\\\\\ \\\\\\\\  / /        | |               #\\\\n#             _____) )   _ \\\\\\\\ \\\\\\\\/ / |_  ____| |               #\\\\n#            |  ____/ | | | )  (|  _)/ _  | |               #\\\\n#            | |    | |_| |/ /\\\\\\\\ \\\\\\\\ |_( (_| | |___            #\\\\n#            |_|     \\\\\\\\__  /_/  \\\\\\\\_\\\\\\\\___)__|_|_____)           #\\\\n#                   (____/                                  #\\\\n#---------------------(version    0.5.1)--------------------#\\\\n#       A Python package for random crystal generation      #\\\\n#       url: https://github.com/qzhu2017/pyxtal             #\\\\n#       @Zhu's group at University of Nevada Las Vegas      #\\\\n#############################################################\\\\ndata_from_pyxtal\\\\n\\\\n_symmetry_space_group_name_H-M 'P21/c'\\\\n_symmetry_Int_Tables_number                   14\\\\n_symmetry_cell_setting                monoclinic\\\\n_cell_length_a           11.233000\\\\n_cell_length_b            6.544000\\\\n_cell_length_c           11.231000\\\\n_cell_angle_alpha        90.000000\\\\n_cell_angle_beta         95.890000\\\\n_cell_angle_gamma        90.000000\\\\n_cell_volume            821.218361\\\\n\\\\nloop_\\\\n _symmetry_equiv_pos_site_id\\\\n _symmetry_equiv_pos_as_xyz\\\\n1 'x, y, z'\\\\n2 '-x, y+1/2, -z+1/2'\\\\n3 '-x, -y, -z'\\\\n4 'x, -y+1/2, z+1/2'\\\\n\\\\nloop_\\\\n _atom_site_label\\\\n _atom_site_type_symbol\\\\n _atom_site_symmetry_multiplicity\\\\n _atom_site_fract_x\\\\n _atom_site_fract_y\\\\n _atom_site_fract_z\\\\n _atom_site_occupancy\\\\nO      O        4     0.288600    0.582700   -0.089000 1\\\\nO      O        4     0.123500    0.859000   -0.052700 1\\\\nO      O        4     0.009800    0.813000    0.096600 1\\\\nO      O        4     0.402900    0.781500    0.036700 1\\\\nC      C        4     0.247300    0.483800    0.008800 1\\\\nC      C        4     0.153700    0.560300    0.066500 1\\\\nC      C        4     0.299800    0.297700    0.041400 1\\\\nC      C        4     0.115800    0.446300    0.161400 1\\\\nC      C        4     0.260900    0.187600    0.135200 1\\\\nC      C        4     0.168600    0.262000    0.194200 1\\\\nC      C        4     0.090300    0.756200    0.037200 1\\\\nC      C        4     0.367400    0.737300   -0.062300 1\\\\nC      C        4     0.399300    0.839900   -0.174000 1\\\\nH      H        4     0.369800    0.237700   -0.009500 1\\\\nH      H        4     0.043300    0.507000    0.208300 1\\\\nH      H        4     0.301600    0.039600    0.159300 1\\\\nH      H        4     0.140600    0.174000    0.268800 1\\\\nH      H        4     0.320000    0.897000   -0.224000 1\\\\nH      H        4     0.434000    0.735000   -0.240000 1\\\\nH      H        4     0.461800    0.960000   -0.145000 1\\\\nH      H        4     0.071300    0.985500   -0.064200 1\\\\n#END\\\\n\\\\n\\\",\\\"cif\\\",{\\\"doAssembly\\\": true, \\\"duplicateAssemblyAtoms\\\": true, \\\"normalizeAssembly\\\": true});\\n\\tviewer_1660223051257.setStyle({\\\"stick\\\": {\\\"colorscheme\\\": \\\"greenCarbon\\\"}});\\n\\tviewer_1660223051257.addUnitCell();\\n\\tviewer_1660223051257.replicateUnitCell(1,1,1);\\n\\tviewer_1660223051257.zoomTo();\\nviewer_1660223051257.render();\\n});\\n</script>\",\n      \"text/html\": [\n       \"<div id=\\\"3dmolviewer_1660223051257\\\"  style=\\\"position: relative; width: 600px; height: 300px\\\">\\n\",\n       \"        <p id=\\\"3dmolwarning_1660223051257\\\" style=\\\"background-color:#ffcccc;color:black\\\">You appear to be running in JupyterLab (or JavaScript failed to load for some other reason).  You need to install the 3dmol extension: <br>\\n\",\n       \"        <tt>jupyter labextension install jupyterlab_3dmol</tt></p>\\n\",\n       \"        </div>\\n\",\n       \"<script>\\n\",\n       \"\\n\",\n       \"var loadScriptAsync = function(uri){\\n\",\n       \"  return new Promise((resolve, reject) => {\\n\",\n       \"    var tag = document.createElement('script');\\n\",\n       \"    tag.src = uri;\\n\",\n       \"    tag.async = true;\\n\",\n       \"    tag.onload = () => {\\n\",\n       \"      resolve();\\n\",\n       \"    };\\n\",\n       \"  var firstScriptTag = document.getElementsByTagName('script')[0];\\n\",\n       \"  firstScriptTag.parentNode.insertBefore(tag, firstScriptTag);\\n\",\n       \"});\\n\",\n       \"};\\n\",\n       \"\\n\",\n       \"if(typeof $3Dmolpromise === 'undefined') {\\n\",\n       \"$3Dmolpromise = null;\\n\",\n       \"  $3Dmolpromise = loadScriptAsync('https://3dmol.org/build/3Dmol.js');\\n\",\n       \"}\\n\",\n       \"\\n\",\n       \"var viewer_1660223051257 = null;\\n\",\n       \"var warn = document.getElementById(\\\"3dmolwarning_1660223051257\\\");\\n\",\n       \"if(warn) {\\n\",\n       \"    warn.parentNode.removeChild(warn);\\n\",\n       \"}\\n\",\n       \"$3Dmolpromise.then(function() {\\n\",\n       \"viewer_1660223051257 = $3Dmol.createViewer($(\\\"#3dmolviewer_1660223051257\\\"),{backgroundColor:\\\"white\\\"});\\n\",\n       \"viewer_1660223051257.zoomTo();\\n\",\n       \"\\tviewer_1660223051257.addModel(\\\"#############################################################\\\\n#             ______       _    _          _                #\\\\n#            (_____ \\\\\\\\     \\\\\\\\ \\\\\\\\  / /        | |               #\\\\n#             _____) )   _ \\\\\\\\ \\\\\\\\/ / |_  ____| |               #\\\\n#            |  ____/ | | | )  (|  _)/ _  | |               #\\\\n#            | |    | |_| |/ /\\\\\\\\ \\\\\\\\ |_( (_| | |___            #\\\\n#            |_|     \\\\\\\\__  /_/  \\\\\\\\_\\\\\\\\___)__|_|_____)           #\\\\n#                   (____/                                  #\\\\n#---------------------(version    0.5.1)--------------------#\\\\n#       A Python package for random crystal generation      #\\\\n#       url: https://github.com/qzhu2017/pyxtal             #\\\\n#       @Zhu's group at University of Nevada Las Vegas      #\\\\n#############################################################\\\\ndata_from_pyxtal\\\\n\\\\n_symmetry_space_group_name_H-M 'P21/c'\\\\n_symmetry_Int_Tables_number                   14\\\\n_symmetry_cell_setting                monoclinic\\\\n_cell_length_a           11.233000\\\\n_cell_length_b            6.544000\\\\n_cell_length_c           11.231000\\\\n_cell_angle_alpha        90.000000\\\\n_cell_angle_beta         95.890000\\\\n_cell_angle_gamma        90.000000\\\\n_cell_volume            821.218361\\\\n\\\\nloop_\\\\n _symmetry_equiv_pos_site_id\\\\n _symmetry_equiv_pos_as_xyz\\\\n1 'x, y, z'\\\\n2 '-x, y+1/2, -z+1/2'\\\\n3 '-x, -y, -z'\\\\n4 'x, -y+1/2, z+1/2'\\\\n\\\\nloop_\\\\n _atom_site_label\\\\n _atom_site_type_symbol\\\\n _atom_site_symmetry_multiplicity\\\\n _atom_site_fract_x\\\\n _atom_site_fract_y\\\\n _atom_site_fract_z\\\\n _atom_site_occupancy\\\\nO      O        4     0.288600    0.582700   -0.089000 1\\\\nO      O        4     0.123500    0.859000   -0.052700 1\\\\nO      O        4     0.009800    0.813000    0.096600 1\\\\nO      O        4     0.402900    0.781500    0.036700 1\\\\nC      C        4     0.247300    0.483800    0.008800 1\\\\nC      C        4     0.153700    0.560300    0.066500 1\\\\nC      C        4     0.299800    0.297700    0.041400 1\\\\nC      C        4     0.115800    0.446300    0.161400 1\\\\nC      C        4     0.260900    0.187600    0.135200 1\\\\nC      C        4     0.168600    0.262000    0.194200 1\\\\nC      C        4     0.090300    0.756200    0.037200 1\\\\nC      C        4     0.367400    0.737300   -0.062300 1\\\\nC      C        4     0.399300    0.839900   -0.174000 1\\\\nH      H        4     0.369800    0.237700   -0.009500 1\\\\nH      H        4     0.043300    0.507000    0.208300 1\\\\nH      H        4     0.301600    0.039600    0.159300 1\\\\nH      H        4     0.140600    0.174000    0.268800 1\\\\nH      H        4     0.320000    0.897000   -0.224000 1\\\\nH      H        4     0.434000    0.735000   -0.240000 1\\\\nH      H        4     0.461800    0.960000   -0.145000 1\\\\nH      H        4     0.071300    0.985500   -0.064200 1\\\\n#END\\\\n\\\\n\\\",\\\"cif\\\",{\\\"doAssembly\\\": true, \\\"duplicateAssemblyAtoms\\\": true, \\\"normalizeAssembly\\\": true});\\n\",\n       \"\\tviewer_1660223051257.setStyle({\\\"stick\\\": {\\\"colorscheme\\\": \\\"greenCarbon\\\"}});\\n\",\n       \"\\tviewer_1660223051257.addUnitCell();\\n\",\n       \"\\tviewer_1660223051257.replicateUnitCell(1,1,1);\\n\",\n       \"\\tviewer_1660223051257.zoomTo();\\n\",\n       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    \" 11.2330,   6.5440,  11.2310,  90.0000,  95.8900,  90.0000, monoclinic\\n\",\n      \"Wyckoff sites:\\n\",\n      \"\\tH8C9O4       @ [ 0.2414  0.3282  0.0168]  WP [2a] Site [1] Euler [   0.0    0.0    0.0]\\n\",\n      \"\\tH8C9O4       @ [ 0.7586  0.8282  0.4832]  WP [2a] Site [1] Euler [   0.0    0.0    0.0]\\n\"\n     ]\n    },\n    {\n     \"data\": {\n      \"application/3dmoljs_load.v0\": \"<div id=\\\"3dmolviewer_1660223051338667\\\"  style=\\\"position: relative; width: 600px; height: 300px\\\">\\n        <p id=\\\"3dmolwarning_1660223051338667\\\" style=\\\"background-color:#ffcccc;color:black\\\">You appear to be running in JupyterLab (or JavaScript failed to load for some other reason).  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/_/  \\\\\\\\_\\\\\\\\___)__|_|_____)           #\\\\n#                   (____/                                  #\\\\n#---------------------(version    0.5.1)--------------------#\\\\n#       A Python package for random crystal generation      #\\\\n#       url: https://github.com/qzhu2017/pyxtal             #\\\\n#       @Zhu's group at University of Nevada Las Vegas      #\\\\n#############################################################\\\\ndata_from_pyxtal\\\\n\\\\n_symmetry_space_group_name_H-M 'Pc'\\\\n_symmetry_Int_Tables_number                    7\\\\n_symmetry_cell_setting                monoclinic\\\\n_cell_length_a           11.233000\\\\n_cell_length_b            6.544000\\\\n_cell_length_c           11.231000\\\\n_cell_angle_alpha        90.000000\\\\n_cell_angle_beta         95.890000\\\\n_cell_angle_gamma        90.000000\\\\n_cell_volume            821.218361\\\\n\\\\nloop_\\\\n _symmetry_equiv_pos_site_id\\\\n _symmetry_equiv_pos_as_xyz\\\\n1 'x, y, z'\\\\n2 'x, -y, z+1/2'\\\\n\\\\nloop_\\\\n _atom_site_label\\\\n _atom_site_type_symbol\\\\n _atom_site_symmetry_multiplicity\\\\n _atom_site_fract_x\\\\n _atom_site_fract_y\\\\n _atom_site_fract_z\\\\n _atom_site_occupancy\\\\nO      O        2     0.288600    0.332700   -0.089000 1\\\\nO      O        2     0.123500    0.609000   -0.052700 1\\\\nO      O        2     0.009800    0.563000    0.096600 1\\\\nO      O        2     0.402900    0.531500    0.036700 1\\\\nC      C        2     0.247300    0.233800    0.008800 1\\\\nC      C        2     0.153700    0.310300    0.066500 1\\\\nC      C        2     0.299800    0.047700    0.041400 1\\\\nC      C        2     0.115800    0.196300    0.161400 1\\\\nC      C        2     0.260900   -0.062400    0.135200 1\\\\nC      C        2     0.168600    0.012000    0.194200 1\\\\nC      C        2     0.090300    0.506200    0.037200 1\\\\nC      C        2     0.367400    0.487300   -0.062300 1\\\\nC      C        2     0.399300    0.589900   -0.174000 1\\\\nH      H        2     0.369800   -0.012300   -0.009500 1\\\\nH      H        2     0.043300    0.257000    0.208300 1\\\\nH      H        2     0.301600   -0.210400    0.159300 1\\\\nH      H        2     0.140600   -0.076000    0.268800 1\\\\nH      H        2     0.320000    0.647000   -0.224000 1\\\\nH      H        2     0.434000    0.485000   -0.240000 1\\\\nH      H        2     0.461800    0.710000   -0.145000 1\\\\nH      H        2     0.071300    0.735500   -0.064200 1\\\\nO      O        2     0.711400    0.832700    0.589000 1\\\\nO      O        2     0.876500    1.109000    0.552700 1\\\\nO      O        2     0.990200    1.063000    0.403400 1\\\\nO      O        2     0.597100    1.031500    0.463300 1\\\\nC      C        2     0.752700    0.733800    0.491200 1\\\\nC      C        2     0.846300    0.810300    0.433500 1\\\\nC      C        2     0.700200    0.547700    0.458600 1\\\\nC      C        2     0.884200    0.696300    0.338600 1\\\\nC      C        2  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\\\"greenCarbon\\\"}});\\n\",\n       \"\\tviewer_1660223051338667.addUnitCell();\\n\",\n       \"\\tviewer_1660223051338667.replicateUnitCell(1,1,1);\\n\",\n       \"\\tviewer_1660223051338667.zoomTo();\\n\",\n       \"viewer_1660223051338667.render();\\n\",\n       \"});\\n\",\n       \"</script>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    },\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"<py3Dmol.view at 0x7f98e72a6510>\"\n      ]\n     },\n     \"execution_count\": 9,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"C2 = C1.subgroup_once(H=7, eps=0, mut_lat=False)\\n\",\n    \"print(C2)\\n\",\n    \"C2.show()\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"# 2.5 Cell Transformation\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 10,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"\\n\",\n      \"------Crystal from Seed------\\n\",\n      \"Dimension: 3\\n\",\n      \"Composition: [aspirin]4\\n\",\n      \"Group: P 1 21/c 1 (14)\\n\",\n      \" 11.2330,   6.5440,  11.2310,  90.0000,  95.8900,  90.0000, monoclinic\\n\",\n      \"Wyckoff sites:\\n\",\n      \"\\tH8C9O4       @ [ 0.2414  0.5782  0.0168]  WP [4e] Site [1] Euler [   0.0    0.0    0.0]\\n\"\n     ]\n    },\n    {\n     \"data\": {\n      \"application/3dmoljs_load.v0\": \"<div id=\\\"3dmolviewer_1660223051872461\\\"  style=\\\"position: relative; width: 600px; height: 300px\\\">\\n        <p id=\\\"3dmolwarning_1660223051872461\\\" style=\\\"background-color:#ffcccc;color:black\\\">You appear to be running in JupyterLab (or JavaScript failed to load for some other reason).  You need to install the 3dmol extension: <br>\\n        <tt>jupyter labextension install jupyterlab_3dmol</tt></p>\\n        </div>\\n<script>\\n\\nvar loadScriptAsync = function(uri){\\n  return new Promise((resolve, reject) => {\\n    var tag = document.createElement('script');\\n    tag.src = uri;\\n    tag.async = true;\\n    tag.onload = () => {\\n      resolve();\\n    };\\n  var firstScriptTag = document.getElementsByTagName('script')[0];\\n  firstScriptTag.parentNode.insertBefore(tag, firstScriptTag);\\n});\\n};\\n\\nif(typeof $3Dmolpromise === 'undefined') {\\n$3Dmolpromise = null;\\n  $3Dmolpromise = loadScriptAsync('https://3dmol.org/build/3Dmol.js');\\n}\\n\\nvar viewer_1660223051872461 = null;\\nvar warn = document.getElementById(\\\"3dmolwarning_1660223051872461\\\");\\nif(warn) {\\n    warn.parentNode.removeChild(warn);\\n}\\n$3Dmolpromise.then(function() {\\nviewer_1660223051872461 = $3Dmol.createViewer($(\\\"#3dmolviewer_1660223051872461\\\"),{backgroundColor:\\\"white\\\"});\\nviewer_1660223051872461.zoomTo();\\n\\tviewer_1660223051872461.addModel(\\\"#############################################################\\\\n#             ______       _    _          _                #\\\\n#            (_____ \\\\\\\\     \\\\\\\\ \\\\\\\\  / /        | |               #\\\\n#             _____) )   _ \\\\\\\\ \\\\\\\\/ / |_  ____| |               #\\\\n#            |  ____/ | | | )  (|  _)/ _  | |               #\\\\n#            | |    | |_| |/ /\\\\\\\\ \\\\\\\\ |_( (_| | |___            #\\\\n#            |_|     \\\\\\\\__  /_/  \\\\\\\\_\\\\\\\\___)__|_|_____)           #\\\\n#                   (____/                                  #\\\\n#---------------------(version    0.5.1)--------------------#\\\\n#       A Python package for random crystal generation      #\\\\n#       url: https://github.com/qzhu2017/pyxtal             #\\\\n#       @Zhu's group at University of Nevada Las Vegas      #\\\\n#############################################################\\\\ndata_from_pyxtal\\\\n\\\\n_symmetry_space_group_name_H-M 'P21/c'\\\\n_symmetry_Int_Tables_number                   14\\\\n_symmetry_cell_setting                monoclinic\\\\n_cell_length_a           11.233000\\\\n_cell_length_b            6.544000\\\\n_cell_length_c           11.231000\\\\n_cell_angle_alpha        90.000000\\\\n_cell_angle_beta         95.890000\\\\n_cell_angle_gamma        90.000000\\\\n_cell_volume            821.218361\\\\n\\\\nloop_\\\\n _symmetry_equiv_pos_site_id\\\\n _symmetry_equiv_pos_as_xyz\\\\n1 'x, y, z'\\\\n2 '-x, y+1/2, -z+1/2'\\\\n3 '-x, -y, -z'\\\\n4 'x, -y+1/2, z+1/2'\\\\n\\\\nloop_\\\\n _atom_site_label\\\\n _atom_site_type_symbol\\\\n _atom_site_symmetry_multiplicity\\\\n _atom_site_fract_x\\\\n _atom_site_fract_y\\\\n _atom_site_fract_z\\\\n _atom_site_occupancy\\\\nO      O        4     0.288600    0.582700   -0.089000 1\\\\nO      O        4     0.123500    0.859000   -0.052700 1\\\\nO      O        4     0.009800    0.813000    0.096600 1\\\\nO      O        4     0.402900    0.781500    0.036700 1\\\\nC      C        4     0.247300    0.483800    0.008800 1\\\\nC      C        4     0.153700    0.560300    0.066500 1\\\\nC      C        4     0.299800    0.297700    0.041400 1\\\\nC      C        4     0.115800    0.446300    0.161400 1\\\\nC      C        4     0.260900    0.187600    0.135200 1\\\\nC      C        4     0.168600    0.262000    0.194200 1\\\\nC      C        4     0.090300    0.756200    0.037200 1\\\\nC      C        4     0.367400    0.737300   -0.062300 1\\\\nC      C        4     0.399300    0.839900   -0.174000 1\\\\nH      H        4     0.369800    0.237700   -0.009500 1\\\\nH      H        4     0.043300    0.507000    0.208300 1\\\\nH      H        4     0.301600    0.039600    0.159300 1\\\\nH      H        4     0.140600    0.174000    0.268800 1\\\\nH      H        4     0.320000    0.897000   -0.224000 1\\\\nH      H        4     0.434000    0.735000   -0.240000 1\\\\nH      H        4     0.461800    0.960000   -0.145000 1\\\\nH      H        4     0.071300    0.985500   -0.064200 1\\\\n#END\\\\n\\\\n\\\",\\\"cif\\\",{\\\"doAssembly\\\": true, \\\"duplicateAssemblyAtoms\\\": true, \\\"normalizeAssembly\\\": true});\\n\\tviewer_1660223051872461.setStyle({\\\"stick\\\": {\\\"colorscheme\\\": \\\"greenCarbon\\\"}});\\n\\tviewer_1660223051872461.addUnitCell();\\n\\tviewer_1660223051872461.replicateUnitCell(1,1,1);\\n\\tviewer_1660223051872461.zoomTo();\\nviewer_1660223051872461.render();\\n});\\n</script>\",\n      \"text/html\": [\n       \"<div id=\\\"3dmolviewer_1660223051872461\\\"  style=\\\"position: relative; width: 600px; height: 300px\\\">\\n\",\n       \"        <p id=\\\"3dmolwarning_1660223051872461\\\" style=\\\"background-color:#ffcccc;color:black\\\">You appear to be running in JupyterLab (or JavaScript failed to load for some other reason).  You need to install the 3dmol extension: <br>\\n\",\n       \"        <tt>jupyter labextension install jupyterlab_3dmol</tt></p>\\n\",\n       \"        </div>\\n\",\n       \"<script>\\n\",\n       \"\\n\",\n       \"var loadScriptAsync = function(uri){\\n\",\n       \"  return new Promise((resolve, reject) => {\\n\",\n       \"    var tag = document.createElement('script');\\n\",\n       \"    tag.src = uri;\\n\",\n       \"    tag.async = true;\\n\",\n       \"    tag.onload = () => {\\n\",\n       \"      resolve();\\n\",\n       \"    };\\n\",\n       \"  var firstScriptTag = document.getElementsByTagName('script')[0];\\n\",\n       \"  firstScriptTag.parentNode.insertBefore(tag, firstScriptTag);\\n\",\n       \"});\\n\",\n       \"};\\n\",\n       \"\\n\",\n       \"if(typeof $3Dmolpromise === 'undefined') {\\n\",\n       \"$3Dmolpromise = null;\\n\",\n       \"  $3Dmolpromise = loadScriptAsync('https://3dmol.org/build/3Dmol.js');\\n\",\n       \"}\\n\",\n       \"\\n\",\n       \"var viewer_1660223051872461 = null;\\n\",\n       \"var warn = document.getElementById(\\\"3dmolwarning_1660223051872461\\\");\\n\",\n       \"if(warn) {\\n\",\n       \"    warn.parentNode.removeChild(warn);\\n\",\n       \"}\\n\",\n       \"$3Dmolpromise.then(function() {\\n\",\n       \"viewer_1660223051872461 = $3Dmol.createViewer($(\\\"#3dmolviewer_1660223051872461\\\"),{backgroundColor:\\\"white\\\"});\\n\",\n       \"viewer_1660223051872461.zoomTo();\\n\",\n       \"\\tviewer_1660223051872461.addModel(\\\"#############################################################\\\\n#             ______       _    _          _                #\\\\n#            (_____ \\\\\\\\     \\\\\\\\ \\\\\\\\  / /        | |               #\\\\n#             _____) )   _ \\\\\\\\ \\\\\\\\/ / |_  ____| |               #\\\\n#            |  ____/ | | | )  (|  _)/ _  | |               #\\\\n#            | |    | |_| |/ /\\\\\\\\ \\\\\\\\ |_( (_| | |___            #\\\\n#            |_|     \\\\\\\\__  /_/  \\\\\\\\_\\\\\\\\___)__|_|_____)           #\\\\n#                   (____/                                  #\\\\n#---------------------(version    0.5.1)--------------------#\\\\n#       A Python package for random crystal generation      #\\\\n#       url: https://github.com/qzhu2017/pyxtal             #\\\\n#       @Zhu's group at University of Nevada Las Vegas      #\\\\n#############################################################\\\\ndata_from_pyxtal\\\\n\\\\n_symmetry_space_group_name_H-M 'P21/c'\\\\n_symmetry_Int_Tables_number                   14\\\\n_symmetry_cell_setting                monoclinic\\\\n_cell_length_a           11.233000\\\\n_cell_length_b            6.544000\\\\n_cell_length_c           11.231000\\\\n_cell_angle_alpha        90.000000\\\\n_cell_angle_beta         95.890000\\\\n_cell_angle_gamma        90.000000\\\\n_cell_volume            821.218361\\\\n\\\\nloop_\\\\n _symmetry_equiv_pos_site_id\\\\n _symmetry_equiv_pos_as_xyz\\\\n1 'x, y, z'\\\\n2 '-x, y+1/2, -z+1/2'\\\\n3 '-x, -y, -z'\\\\n4 'x, -y+1/2, z+1/2'\\\\n\\\\nloop_\\\\n _atom_site_label\\\\n _atom_site_type_symbol\\\\n _atom_site_symmetry_multiplicity\\\\n _atom_site_fract_x\\\\n _atom_site_fract_y\\\\n _atom_site_fract_z\\\\n _atom_site_occupancy\\\\nO      O        4     0.288600    0.582700   -0.089000 1\\\\nO      O        4     0.123500    0.859000   -0.052700 1\\\\nO      O        4     0.009800    0.813000    0.096600 1\\\\nO      O        4     0.402900    0.781500    0.036700 1\\\\nC      C        4     0.247300    0.483800    0.008800 1\\\\nC      C        4     0.153700    0.560300    0.066500 1\\\\nC      C        4     0.299800    0.297700    0.041400 1\\\\nC      C        4     0.115800    0.446300    0.161400 1\\\\nC      C        4     0.260900    0.187600    0.135200 1\\\\nC      C        4     0.168600    0.262000    0.194200 1\\\\nC      C        4     0.090300    0.756200    0.037200 1\\\\nC      C        4     0.367400    0.737300   -0.062300 1\\\\nC      C        4     0.399300    0.839900   -0.174000 1\\\\nH      H        4     0.369800    0.237700   -0.009500 1\\\\nH      H        4     0.043300    0.507000    0.208300 1\\\\nH      H        4     0.301600    0.039600    0.159300 1\\\\nH      H        4     0.140600    0.174000    0.268800 1\\\\nH      H        4     0.320000    0.897000   -0.224000 1\\\\nH      H        4     0.434000    0.735000   -0.240000 1\\\\nH      H        4     0.461800    0.960000   -0.145000 1\\\\nH      H        4     0.071300    0.985500   -0.064200 1\\\\n#END\\\\n\\\\n\\\",\\\"cif\\\",{\\\"doAssembly\\\": true, \\\"duplicateAssemblyAtoms\\\": true, \\\"normalizeAssembly\\\": true});\\n\",\n       \"\\tviewer_1660223051872461.setStyle({\\\"stick\\\": {\\\"colorscheme\\\": \\\"greenCarbon\\\"}});\\n\",\n       \"\\tviewer_1660223051872461.addUnitCell();\\n\",\n       \"\\tviewer_1660223051872461.replicateUnitCell(1,1,1);\\n\",\n       \"\\tviewer_1660223051872461.zoomTo();\\n\",\n       \"viewer_1660223051872461.render();\\n\",\n       \"});\\n\",\n       \"</script>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    },\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"<py3Dmol.view at 0x7f98e729a050>\"\n      ]\n     },\n     \"execution_count\": 10,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"from pyxtal import pyxtal\\n\",\n    \"\\n\",\n    \"C1 = pyxtal(molecular=True)\\n\",\n    \"C1.from_seed(seed=\\\"aspirin.cif\\\", molecules=[\\\"aspirin\\\"])\\n\",\n    \"print(C1)\\n\",\n    \"C1.show()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 11,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"\\n\",\n      \"------Crystal from Seed------\\n\",\n      \"Dimension: 3\\n\",\n      \"Composition: [aspirin]4\\n\",\n      \"Group: P 1 21/n 1 (14)\\n\",\n      \" 11.2330,   6.5440,  15.0474,  90.0000,  47.9393,  90.0000, monoclinic\\n\",\n      \"Wyckoff sites:\\n\",\n      \"\\tH8C9O4       @ [ 0.2246  0.5782  0.0168]  WP [4e] Site [1] Euler [   0.0    0.0    0.0]\\n\"\n     ]\n    },\n    {\n     \"data\": {\n      \"application/3dmoljs_load.v0\": \"<div id=\\\"3dmolviewer_1660223051907678\\\"  style=\\\"position: relative; width: 600px; height: 300px\\\">\\n        <p id=\\\"3dmolwarning_1660223051907678\\\" style=\\\"background-color:#ffcccc;color:black\\\">You appear to be running in JupyterLab (or JavaScript failed to load for some other reason).  You need to install the 3dmol extension: <br>\\n        <tt>jupyter labextension install jupyterlab_3dmol</tt></p>\\n        </div>\\n<script>\\n\\nvar loadScriptAsync = function(uri){\\n  return new Promise((resolve, reject) => {\\n    var tag = document.createElement('script');\\n    tag.src = uri;\\n    tag.async = true;\\n    tag.onload = () => {\\n      resolve();\\n    };\\n  var firstScriptTag = document.getElementsByTagName('script')[0];\\n  firstScriptTag.parentNode.insertBefore(tag, firstScriptTag);\\n});\\n};\\n\\nif(typeof $3Dmolpromise === 'undefined') {\\n$3Dmolpromise = null;\\n  $3Dmolpromise = loadScriptAsync('https://3dmol.org/build/3Dmol.js');\\n}\\n\\nvar viewer_1660223051907678 = null;\\nvar warn = document.getElementById(\\\"3dmolwarning_1660223051907678\\\");\\nif(warn) {\\n    warn.parentNode.removeChild(warn);\\n}\\n$3Dmolpromise.then(function() {\\nviewer_1660223051907678 = $3Dmol.createViewer($(\\\"#3dmolviewer_1660223051907678\\\"),{backgroundColor:\\\"white\\\"});\\nviewer_1660223051907678.zoomTo();\\n\\tviewer_1660223051907678.addModel(\\\"#############################################################\\\\n#             ______       _    _          _                #\\\\n#            (_____ \\\\\\\\     \\\\\\\\ \\\\\\\\  / /        | |               #\\\\n#             _____) )   _ \\\\\\\\ \\\\\\\\/ / |_  ____| |               #\\\\n#            |  ____/ | | | )  (|  _)/ _  | |               #\\\\n#            | |    | |_| |/ /\\\\\\\\ \\\\\\\\ |_( (_| | |___            #\\\\n#            |_|     \\\\\\\\__  /_/  \\\\\\\\_\\\\\\\\___)__|_|_____)           #\\\\n#                   (____/                                  #\\\\n#---------------------(version    0.5.1)--------------------#\\\\n#       A Python package for random crystal generation      #\\\\n#       url: https://github.com/qzhu2017/pyxtal             #\\\\n#       @Zhu's group at University of Nevada Las Vegas      #\\\\n#############################################################\\\\ndata_from_pyxtal\\\\n\\\\n_symmetry_space_group_name_H-M 'P 1 21/n 1'\\\\n_symmetry_Int_Tables_number                   14\\\\n_symmetry_cell_setting                monoclinic\\\\n_cell_length_a           11.233000\\\\n_cell_length_b            6.544000\\\\n_cell_length_c           15.047368\\\\n_cell_angle_alpha        90.000000\\\\n_cell_angle_beta         47.939346\\\\n_cell_angle_gamma        90.000000\\\\n_cell_volume            821.218361\\\\n\\\\nloop_\\\\n _symmetry_equiv_pos_site_id\\\\n _symmetry_equiv_pos_as_xyz\\\\n1 'x, y, z'\\\\n2 '-x-1/2, y+1/2, -z-1/2'\\\\n3 '-x, -y, -z'\\\\n4 'x-1/2, -y+1/2, z-1/2'\\\\n\\\\nloop_\\\\n _atom_site_label\\\\n _atom_site_type_symbol\\\\n _atom_site_symmetry_multiplicity\\\\n _atom_site_fract_x\\\\n _atom_site_fract_y\\\\n _atom_site_fract_z\\\\n _atom_site_occupancy\\\\nO      O        4     0.377600    0.582700   -0.089000 1\\\\nO      O        4     0.176200    0.859000   -0.052700 1\\\\nO      O        4    -0.086800    0.813000    0.096600 1\\\\nO      O        4     0.366200    0.781500    0.036700 1\\\\nC      C        4     0.238500    0.483800    0.008800 1\\\\nC      C        4     0.087200    0.560300    0.066500 1\\\\nC      C        4     0.258400    0.297700    0.041400 1\\\\nC      C        4    -0.045600    0.446300    0.161400 1\\\\nC      C        4     0.125700    0.187600    0.135200 1\\\\nC      C        4    -0.025600    0.262000    0.194200 1\\\\nC      C        4     0.053100    0.756200    0.037200 1\\\\nC      C        4     0.429700    0.737300   -0.062300 1\\\\nC      C        4     0.573300    0.839900   -0.174000 1\\\\nH      H        4     0.379300    0.237700   -0.009500 1\\\\nH      H        4    -0.165000    0.507000    0.208300 1\\\\nH      H        4     0.142300    0.039600    0.159300 1\\\\nH      H        4    -0.128200    0.174000    0.268800 1\\\\nH      H        4     0.544000    0.897000   -0.224000 1\\\\nH      H        4     0.674000    0.735000   -0.240000 1\\\\nH      H        4     0.606800    0.960000   -0.145000 1\\\\nH      H        4     0.135500    0.985500   -0.064200 1\\\\n#END\\\\n\\\\n\\\",\\\"cif\\\",{\\\"doAssembly\\\": true, \\\"duplicateAssemblyAtoms\\\": true, \\\"normalizeAssembly\\\": true});\\n\\tviewer_1660223051907678.setStyle({\\\"stick\\\": {\\\"colorscheme\\\": \\\"greenCarbon\\\"}});\\n\\tviewer_1660223051907678.addUnitCell();\\n\\tviewer_1660223051907678.replicateUnitCell(1,1,1);\\n\\tviewer_1660223051907678.zoomTo();\\nviewer_1660223051907678.render();\\n});\\n</script>\",\n      \"text/html\": [\n       \"<div id=\\\"3dmolviewer_1660223051907678\\\"  style=\\\"position: relative; width: 600px; height: 300px\\\">\\n\",\n       \"        <p id=\\\"3dmolwarning_1660223051907678\\\" style=\\\"background-color:#ffcccc;color:black\\\">You appear to be running in JupyterLab (or JavaScript failed to load for some other reason).  You need to install the 3dmol extension: <br>\\n\",\n       \"        <tt>jupyter labextension install jupyterlab_3dmol</tt></p>\\n\",\n       \"        </div>\\n\",\n       \"<script>\\n\",\n       \"\\n\",\n       \"var loadScriptAsync = function(uri){\\n\",\n       \"  return new Promise((resolve, reject) => {\\n\",\n       \"    var tag = document.createElement('script');\\n\",\n       \"    tag.src = uri;\\n\",\n       \"    tag.async = true;\\n\",\n       \"    tag.onload = () => {\\n\",\n       \"      resolve();\\n\",\n       \"    };\\n\",\n       \"  var firstScriptTag = document.getElementsByTagName('script')[0];\\n\",\n       \"  firstScriptTag.parentNode.insertBefore(tag, firstScriptTag);\\n\",\n       \"});\\n\",\n       \"};\\n\",\n       \"\\n\",\n       \"if(typeof $3Dmolpromise === 'undefined') {\\n\",\n       \"$3Dmolpromise = null;\\n\",\n       \"  $3Dmolpromise = loadScriptAsync('https://3dmol.org/build/3Dmol.js');\\n\",\n       \"}\\n\",\n       \"\\n\",\n       \"var viewer_1660223051907678 = null;\\n\",\n       \"var warn = document.getElementById(\\\"3dmolwarning_1660223051907678\\\");\\n\",\n       \"if(warn) {\\n\",\n       \"    warn.parentNode.removeChild(warn);\\n\",\n       \"}\\n\",\n       \"$3Dmolpromise.then(function() {\\n\",\n       \"viewer_1660223051907678 = $3Dmol.createViewer($(\\\"#3dmolviewer_1660223051907678\\\"),{backgroundColor:\\\"white\\\"});\\n\",\n       \"viewer_1660223051907678.zoomTo();\\n\",\n       \"\\tviewer_1660223051907678.addModel(\\\"#############################################################\\\\n#             ______       _    _          _                #\\\\n#            (_____ \\\\\\\\     \\\\\\\\ \\\\\\\\  / /        | |               #\\\\n#             _____) )   _ \\\\\\\\ \\\\\\\\/ / |_  ____| |               #\\\\n#            |  ____/ | | | )  (|  _)/ _  | |               #\\\\n#            | |    | |_| |/ /\\\\\\\\ \\\\\\\\ |_( (_| | |___            #\\\\n#            |_|     \\\\\\\\__  /_/  \\\\\\\\_\\\\\\\\___)__|_|_____)           #\\\\n#                   (____/                                  #\\\\n#---------------------(version    0.5.1)--------------------#\\\\n#       A Python package for random crystal generation      #\\\\n#       url: https://github.com/qzhu2017/pyxtal             #\\\\n#       @Zhu's group at University of Nevada Las Vegas      #\\\\n#############################################################\\\\ndata_from_pyxtal\\\\n\\\\n_symmetry_space_group_name_H-M 'P 1 21/n 1'\\\\n_symmetry_Int_Tables_number                   14\\\\n_symmetry_cell_setting                monoclinic\\\\n_cell_length_a           11.233000\\\\n_cell_length_b            6.544000\\\\n_cell_length_c           15.047368\\\\n_cell_angle_alpha        90.000000\\\\n_cell_angle_beta         47.939346\\\\n_cell_angle_gamma        90.000000\\\\n_cell_volume            821.218361\\\\n\\\\nloop_\\\\n _symmetry_equiv_pos_site_id\\\\n _symmetry_equiv_pos_as_xyz\\\\n1 'x, y, z'\\\\n2 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   \"viewer_1660223051907678.render();\\n\",\n       \"});\\n\",\n       \"</script>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    },\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"<py3Dmol.view at 0x7f98e74d1750>\"\n      ]\n     },\n     \"execution_count\": 11,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"# Now we apply the cell transformation\\n\",\n    \"C1.transform([[1,0,0],[0,1,0],[1,0,1]])\\n\",\n    \"print(C1)\\n\",\n    \"C1.show()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 12,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"\\n\",\n      \"------Crystal from Seed------\\n\",\n      \"Dimension: 3\\n\",\n      \"Composition: [aspirin]4\\n\",\n      \"Group: P 1 21/c 1 (14)\\n\",\n      \" 11.2330,   6.5440,  11.2310,  90.0000,  95.8900,  90.0000, monoclinic\\n\",\n      \"Wyckoff sites:\\n\",\n      \"\\tH8C9O4       @ [ 0.2414  0.5782  0.0168]  WP [4e] Site [1] Euler [   0.0    0.0    0.0]\\n\"\n     ]\n    },\n    {\n     \"data\": {\n      \"application/3dmoljs_load.v0\": \"<div id=\\\"3dmolviewer_1660223051941813\\\"  style=\\\"position: relative; width: 600px; height: 300px\\\">\\n        <p id=\\\"3dmolwarning_1660223051941813\\\" style=\\\"background-color:#ffcccc;color:black\\\">You appear to be running in JupyterLab (or JavaScript failed to load for some other reason).  You need to install the 3dmol extension: <br>\\n        <tt>jupyter labextension install jupyterlab_3dmol</tt></p>\\n        </div>\\n<script>\\n\\nvar loadScriptAsync = function(uri){\\n  return new Promise((resolve, reject) => {\\n    var tag = document.createElement('script');\\n    tag.src = uri;\\n    tag.async = true;\\n    tag.onload = () => {\\n      resolve();\\n    };\\n  var firstScriptTag = document.getElementsByTagName('script')[0];\\n  firstScriptTag.parentNode.insertBefore(tag, firstScriptTag);\\n});\\n};\\n\\nif(typeof $3Dmolpromise === 'undefined') {\\n$3Dmolpromise = null;\\n  $3Dmolpromise = loadScriptAsync('https://3dmol.org/build/3Dmol.js');\\n}\\n\\nvar viewer_1660223051941813 = null;\\nvar warn = document.getElementById(\\\"3dmolwarning_1660223051941813\\\");\\nif(warn) {\\n    warn.parentNode.removeChild(warn);\\n}\\n$3Dmolpromise.then(function() {\\nviewer_1660223051941813 = $3Dmol.createViewer($(\\\"#3dmolviewer_1660223051941813\\\"),{backgroundColor:\\\"white\\\"});\\nviewer_1660223051941813.zoomTo();\\n\\tviewer_1660223051941813.addModel(\\\"#############################################################\\\\n#             ______       _    _          _                #\\\\n#            (_____ \\\\\\\\     \\\\\\\\ \\\\\\\\  / /        | |               #\\\\n#             _____) )   _ \\\\\\\\ \\\\\\\\/ / |_  ____| |               #\\\\n#            |  ____/ | | | )  (|  _)/ _  | |               #\\\\n#            | |    | |_| |/ /\\\\\\\\ \\\\\\\\ |_( (_| | |___            #\\\\n#            |_|     \\\\\\\\__  /_/  \\\\\\\\_\\\\\\\\___)__|_|_____)           #\\\\n#                   (____/                                  #\\\\n#---------------------(version    0.5.1)--------------------#\\\\n#       A Python package for random crystal generation      #\\\\n#       url: https://github.com/qzhu2017/pyxtal             #\\\\n#       @Zhu's group at University of Nevada Las Vegas      #\\\\n#############################################################\\\\ndata_from_pyxtal\\\\n\\\\n_symmetry_space_group_name_H-M 'P 1 21/c 1'\\\\n_symmetry_Int_Tables_number                   14\\\\n_symmetry_cell_setting                monoclinic\\\\n_cell_length_a           11.233000\\\\n_cell_length_b            6.544000\\\\n_cell_length_c           11.231000\\\\n_cell_angle_alpha        90.000000\\\\n_cell_angle_beta         95.890000\\\\n_cell_angle_gamma        90.000000\\\\n_cell_volume            821.218361\\\\n\\\\nloop_\\\\n _symmetry_equiv_pos_site_id\\\\n _symmetry_equiv_pos_as_xyz\\\\n1 'x, y, z'\\\\n2 '-x, y+1/2, -z+1/2'\\\\n3 '-x, -y, -z'\\\\n4 'x, -y+1/2, z+1/2'\\\\n\\\\nloop_\\\\n _atom_site_label\\\\n _atom_site_type_symbol\\\\n _atom_site_symmetry_multiplicity\\\\n _atom_site_fract_x\\\\n _atom_site_fract_y\\\\n _atom_site_fract_z\\\\n _atom_site_occupancy\\\\nO      O        4     0.288600    0.582700   -0.089000 1\\\\nO      O        4     0.123500    0.859000   -0.052700 1\\\\nO      O        4     0.009800    0.813000    0.096600 1\\\\nO      O        4     0.402900    0.781500    0.036700 1\\\\nC      C        4     0.247300    0.483800    0.008800 1\\\\nC      C        4     0.153700    0.560300    0.066500 1\\\\nC      C        4     0.299800    0.297700    0.041400 1\\\\nC      C        4     0.115800    0.446300    0.161400 1\\\\nC      C        4     0.260900    0.187600    0.135200 1\\\\nC      C        4     0.168600    0.262000    0.194200 1\\\\nC      C        4     0.090300    0.756200    0.037200 1\\\\nC      C        4     0.367400    0.737300   -0.062300 1\\\\nC      C        4     0.399300    0.839900   -0.174000 1\\\\nH      H        4     0.369800    0.237700   -0.009500 1\\\\nH      H        4     0.043300    0.507000    0.208300 1\\\\nH      H        4     0.301600    0.039600    0.159300 1\\\\nH      H        4     0.140600    0.174000    0.268800 1\\\\nH      H        4     0.320000    0.897000   -0.224000 1\\\\nH      H        4     0.434000    0.735000   -0.240000 1\\\\nH      H        4     0.461800    0.960000   -0.145000 1\\\\nH      H        4     0.071300    0.985500   -0.064200 1\\\\n#END\\\\n\\\\n\\\",\\\"cif\\\",{\\\"doAssembly\\\": true, \\\"duplicateAssemblyAtoms\\\": true, \\\"normalizeAssembly\\\": true});\\n\\tviewer_1660223051941813.setStyle({\\\"stick\\\": {\\\"colorscheme\\\": \\\"greenCarbon\\\"}});\\n\\tviewer_1660223051941813.addUnitCell();\\n\\tviewer_1660223051941813.replicateUnitCell(1,1,1);\\n\\tviewer_1660223051941813.zoomTo();\\nviewer_1660223051941813.render();\\n});\\n</script>\",\n      \"text/html\": [\n       \"<div id=\\\"3dmolviewer_1660223051941813\\\"  style=\\\"position: relative; width: 600px; height: 300px\\\">\\n\",\n       \"        <p id=\\\"3dmolwarning_1660223051941813\\\" style=\\\"background-color:#ffcccc;color:black\\\">You appear to be running in JupyterLab (or JavaScript failed to load for some other reason).  You need to install the 3dmol extension: <br>\\n\",\n       \"        <tt>jupyter labextension install jupyterlab_3dmol</tt></p>\\n\",\n       \"        </div>\\n\",\n       \"<script>\\n\",\n       \"\\n\",\n       \"var loadScriptAsync = function(uri){\\n\",\n       \"  return new Promise((resolve, reject) => {\\n\",\n       \"    var tag = document.createElement('script');\\n\",\n       \"    tag.src = uri;\\n\",\n       \"    tag.async = true;\\n\",\n       \"    tag.onload = () => {\\n\",\n       \"      resolve();\\n\",\n       \"    };\\n\",\n       \"  var firstScriptTag = document.getElementsByTagName('script')[0];\\n\",\n       \"  firstScriptTag.parentNode.insertBefore(tag, firstScriptTag);\\n\",\n       \"});\\n\",\n       \"};\\n\",\n       \"\\n\",\n       \"if(typeof $3Dmolpromise === 'undefined') {\\n\",\n       \"$3Dmolpromise = null;\\n\",\n       \"  $3Dmolpromise = loadScriptAsync('https://3dmol.org/build/3Dmol.js');\\n\",\n       \"}\\n\",\n       \"\\n\",\n       \"var viewer_1660223051941813 = null;\\n\",\n       \"var warn = document.getElementById(\\\"3dmolwarning_1660223051941813\\\");\\n\",\n       \"if(warn) {\\n\",\n       \"    warn.parentNode.removeChild(warn);\\n\",\n       \"}\\n\",\n       \"$3Dmolpromise.then(function() {\\n\",\n       \"viewer_1660223051941813 = $3Dmol.createViewer($(\\\"#3dmolviewer_1660223051941813\\\"),{backgroundColor:\\\"white\\\"});\\n\",\n       \"viewer_1660223051941813.zoomTo();\\n\",\n       \"\\tviewer_1660223051941813.addModel(\\\"#############################################################\\\\n#             ______       _    _          _                #\\\\n#            (_____ \\\\\\\\     \\\\\\\\ \\\\\\\\  / /        | |               #\\\\n#             _____) )   _ \\\\\\\\ \\\\\\\\/ / |_  ____| |               #\\\\n#            |  ____/ | | | )  (|  _)/ _  | |               #\\\\n#            | |    | |_| |/ /\\\\\\\\ \\\\\\\\ |_( (_| | |___            #\\\\n#            |_|     \\\\\\\\__  /_/  \\\\\\\\_\\\\\\\\___)__|_|_____)           #\\\\n#                   (____/                                  #\\\\n#---------------------(version    0.5.1)--------------------#\\\\n#       A Python package for random crystal generation      #\\\\n#       url: https://github.com/qzhu2017/pyxtal             #\\\\n#       @Zhu's group at University of Nevada Las Vegas      #\\\\n#############################################################\\\\ndata_from_pyxtal\\\\n\\\\n_symmetry_space_group_name_H-M 'P 1 21/c 1'\\\\n_symmetry_Int_Tables_number                   14\\\\n_symmetry_cell_setting                monoclinic\\\\n_cell_length_a           11.233000\\\\n_cell_length_b            6.544000\\\\n_cell_length_c           11.231000\\\\n_cell_angle_alpha        90.000000\\\\n_cell_angle_beta         95.890000\\\\n_cell_angle_gamma        90.000000\\\\n_cell_volume            821.218361\\\\n\\\\nloop_\\\\n _symmetry_equiv_pos_site_id\\\\n _symmetry_equiv_pos_as_xyz\\\\n1 'x, y, z'\\\\n2 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1\\\\nC      C        4     0.399300    0.839900   -0.174000 1\\\\nH      H        4     0.369800    0.237700   -0.009500 1\\\\nH      H        4     0.043300    0.507000    0.208300 1\\\\nH      H        4     0.301600    0.039600    0.159300 1\\\\nH      H        4     0.140600    0.174000    0.268800 1\\\\nH      H        4     0.320000    0.897000   -0.224000 1\\\\nH      H        4     0.434000    0.735000   -0.240000 1\\\\nH      H        4     0.461800    0.960000   -0.145000 1\\\\nH      H        4     0.071300    0.985500   -0.064200 1\\\\n#END\\\\n\\\\n\\\",\\\"cif\\\",{\\\"doAssembly\\\": true, \\\"duplicateAssemblyAtoms\\\": true, \\\"normalizeAssembly\\\": true});\\n\",\n       \"\\tviewer_1660223051941813.setStyle({\\\"stick\\\": {\\\"colorscheme\\\": \\\"greenCarbon\\\"}});\\n\",\n       \"\\tviewer_1660223051941813.addUnitCell();\\n\",\n       \"\\tviewer_1660223051941813.replicateUnitCell(1,1,1);\\n\",\n       \"\\tviewer_1660223051941813.zoomTo();\\n\",\n       \"viewer_1660223051941813.render();\\n\",\n       \"});\\n\",\n       \"</script>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    },\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"<py3Dmol.view at 0x7f9906e23110>\"\n      ]\n     },\n     \"execution_count\": 12,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"# We can always use the optimize_lattice function to\\n\",\n    \"# change it to a cell reprentation that has an inclination\\n\",\n    \"# angle close to 90 degree\\n\",\n    \"\\n\",\n    \"C1.optimize_lattice()\\n\",\n    \"print(C1)\\n\",\n    \"C1.show()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 13,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"\\n\",\n      \"------Crystal from random------\\n\",\n      \"Dimension: 3\\n\",\n      \"Composition: [BIPHEN]12\\n\",\n      \"Group: P m -3 (200)\\n\",\n      \" 15.1676,  15.1676,  15.1676,  90.0000,  90.0000,  90.0000, cubic\\n\",\n      \"Wyckoff sites:\\n\",\n      \"\\tH10C12       @ [ 0.5000  0.6120  0.1863]  WP [12k] Site [m..] Euler [-180.0  -62.4   -0.0]\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"BIPHEN = pyxtal(molecular=True)\\n\",\n    \"#BIPHEN.from_random(3, 200, ['BIPHEN'], [24])\\n\",\n    \"BIPHEN.from_random(3, 200, [\\\"BIPHEN\\\"], [12], sites=[[\\\"12k\\\"]])\\n\",\n    \"print(BIPHEN)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 14,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"application/3dmoljs_load.v0\": \"<div id=\\\"3dmolviewer_1660223055533108\\\"  style=\\\"position: relative; width: 400px; height: 300px\\\">\\n        <p id=\\\"3dmolwarning_1660223055533108\\\" style=\\\"background-color:#ffcccc;color:black\\\">You appear to be running in JupyterLab (or JavaScript failed to load for some other reason).  You need to install the 3dmol extension: <br>\\n        <tt>jupyter labextension install jupyterlab_3dmol</tt></p>\\n        </div>\\n<script>\\n\\nvar loadScriptAsync = function(uri){\\n  return new Promise((resolve, reject) => {\\n    var tag = document.createElement('script');\\n    tag.src = uri;\\n    tag.async = true;\\n    tag.onload = () => {\\n      resolve();\\n    };\\n  var firstScriptTag = document.getElementsByTagName('script')[0];\\n  firstScriptTag.parentNode.insertBefore(tag, firstScriptTag);\\n});\\n};\\n\\nif(typeof $3Dmolpromise === 'undefined') {\\n$3Dmolpromise = null;\\n  $3Dmolpromise = loadScriptAsync('https://3dmol.org/build/3Dmol.js');\\n}\\n\\nvar viewer_1660223055533108 = null;\\nvar warn = document.getElementById(\\\"3dmolwarning_1660223055533108\\\");\\nif(warn) {\\n    warn.parentNode.removeChild(warn);\\n}\\n$3Dmolpromise.then(function() {\\nviewer_1660223055533108 = $3Dmol.createViewer($(\\\"#3dmolviewer_1660223055533108\\\"),{backgroundColor:\\\"white\\\"});\\nviewer_1660223055533108.zoomTo();\\n\\tviewer_1660223055533108.addModelsAsFrames(\\\"#############################################################\\\\n#             ______       _    _          _                #\\\\n#            (_____ \\\\\\\\     \\\\\\\\ \\\\\\\\  / /        | |               #\\\\n#             _____) )   _ \\\\\\\\ \\\\\\\\/ / |_  ____| |               #\\\\n#            |  ____/ | | | )  (|  _)/ _  | |               #\\\\n#            | |    | |_| |/ /\\\\\\\\ \\\\\\\\ |_( (_| | |___            #\\\\n#            |_|     \\\\\\\\__  /_/  \\\\\\\\_\\\\\\\\___)__|_|_____)           #\\\\n#                   (____/                                  #\\\\n#---------------------(version    0.5.1)--------------------#\\\\n#       A Python package for random crystal generation      #\\\\n#       url: https://github.com/qzhu2017/pyxtal             #\\\\n#       @Zhu's group at University of Nevada Las Vegas      #\\\\n#############################################################\\\\ndata_from_pyxtal\\\\n\\\\n_symmetry_space_group_name_H-M 'P1'\\\\n_symmetry_Int_Tables_number                    1\\\\n_symmetry_cell_setting                 triclinic\\\\n_cell_length_a           15.167556\\\\n_cell_length_b           15.167556\\\\n_cell_length_c           15.167556\\\\n_cell_angle_alpha        90.000000\\\\n_cell_angle_beta         90.000000\\\\n_cell_angle_gamma        90.000000\\\\n_cell_volume           3489.368108\\\\n\\\\nloop_\\\\n _symmetry_equiv_pos_site_id\\\\n _symmetry_equiv_pos_as_xyz\\\\n1 'x, y, z'\\\\n\\\\nloop_\\\\n _atom_site_label\\\\n _atom_site_type_symbol\\\\n _atom_site_symmetry_multiplicity\\\\n _atom_site_fract_x\\\\n _atom_site_fract_y\\\\n _atom_site_fract_z\\\\n _atom_site_occupancy\\\\nC      C       12     0.266454    0.611941    0.186682 1\\\\nC      C       12     0.311830    0.578197    0.256792 1\\\\nC      C       12     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| |___            #\\\\n#            |_|     \\\\\\\\__  /_/  \\\\\\\\_\\\\\\\\___)__|_|_____)           #\\\\n#                   (____/                                  #\\\\n#---------------------(version    0.5.1)--------------------#\\\\n#       A Python package for random crystal generation      #\\\\n#       url: https://github.com/qzhu2017/pyxtal             #\\\\n#       @Zhu's group at University of Nevada Las Vegas      #\\\\n#############################################################\\\\ndata_from_pyxtal\\\\n\\\\n_symmetry_space_group_name_H-M 'P1'\\\\n_symmetry_Int_Tables_number                    1\\\\n_symmetry_cell_setting                 triclinic\\\\n_cell_length_a           15.167556\\\\n_cell_length_b           15.167556\\\\n_cell_length_c           15.167556\\\\n_cell_angle_alpha        90.000000\\\\n_cell_angle_beta         90.000000\\\\n_cell_angle_gamma        90.000000\\\\n_cell_volume           3489.368108\\\\n\\\\nloop_\\\\n _symmetry_equiv_pos_site_id\\\\n _symmetry_equiv_pos_as_xyz\\\\n1 'x, y, z'\\\\n\\\\nloop_\\\\n _atom_site_label\\\\n _atom_site_type_symbol\\\\n _atom_site_symmetry_multiplicity\\\\n _atom_site_fract_x\\\\n _atom_site_fract_y\\\\n _atom_site_fract_z\\\\n _atom_site_occupancy\\\\nC      C       12     0.266454    0.611941    0.186682 1\\\\nC      C       12     0.311830    0.578197    0.256792 1\\\\nC      C       12     0.404585    0.578391    0.256070 1\\\\nC      C       12     0.451370    0.611665    0.185011 1\\\\nC      C       12     0.404560    0.645664    0.116757 1\\\\nC      C       12     0.311805    0.645823    0.116051 1\\\\nC      C       12     0.548219    0.611318    0.186105 1\\\\nC      C       12     0.595455    0.650178    0.119086 1\\\\nC      C       12     0.688210    0.650681    0.118525 1\\\\nC      C       12     0.733587    0.611913    0.186579 1\\\\nC      C       12     0.688237    0.573479    0.254250 1\\\\nC      C       12     0.595482    0.573948    0.253706 1\\\\nH      H       12    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0.681136    0.935357 1\\\\nH      H       12     0.275269    0.681166    0.933780 1\\\\nH      H       12     0.193355    0.612237    0.813757 1\\\\nH      H       12     0.275222    0.543008    0.693452 1\\\\nH      H       12     0.437132    0.542978    0.691845 1\\\\n#END\\\\n\\\\n#############################################################\\\\n#             ______       _    _          _                #\\\\n#            (_____ \\\\\\\\     \\\\\\\\ \\\\\\\\  / /        | |               #\\\\n#             _____) )   _ \\\\\\\\ \\\\\\\\/ / |_  ____| |               #\\\\n#            |  ____/ | | | )  (|  _)/ _  | |               #\\\\n#            | |    | |_| |/ /\\\\\\\\ \\\\\\\\ |_( (_| | |___            #\\\\n#            |_|     \\\\\\\\__  /_/  \\\\\\\\_\\\\\\\\___)__|_|_____)           #\\\\n#                   (____/                                  #\\\\n#---------------------(version    0.5.1)--------------------#\\\\n#       A Python package for random crystal generation      #\\\\n#       url: https://github.com/qzhu2017/pyxtal             #\\\\n#       @Zhu's group at University of Nevada Las Vegas      #\\\\n#############################################################\\\\ndata_from_pyxtal\\\\n\\\\n_symmetry_space_group_name_H-M 'P1'\\\\n_symmetry_Int_Tables_number                    1\\\\n_symmetry_cell_setting                 triclinic\\\\n_cell_length_a           15.167556\\\\n_cell_length_b           15.167556\\\\n_cell_length_c           15.167556\\\\n_cell_angle_alpha        90.000000\\\\n_cell_angle_beta         90.000000\\\\n_cell_angle_gamma        90.000000\\\\n_cell_volume           3489.368108\\\\n\\\\nloop_\\\\n _symmetry_equiv_pos_site_id\\\\n _symmetry_equiv_pos_as_xyz\\\\n1 'x, y, z'\\\\n\\\\nloop_\\\\n _atom_site_label\\\\n _atom_site_type_symbol\\\\n _atom_site_symmetry_multiplicity\\\\n _atom_site_fract_x\\\\n _atom_site_fract_y\\\\n _atom_site_fract_z\\\\n _atom_site_occupancy\\\\nC      C       12     0.266454    0.611941    0.186682 1\\\\nC      C       12     0.311830    0.578197    0.256792 1\\\\nC      C       12     0.404585    0.578391    0.256070 1\\\\nC      C       12     0.451370    0.611665    0.185011 1\\\\nC      C       12     0.404560    0.645664    0.116757 1\\\\nC      C       12     0.311805    0.645823    0.116051 1\\\\nC      C       12     0.548219    0.611318    0.186105 1\\\\nC      C       12     0.595455    0.650178    0.119086 1\\\\nC      C       12     0.688210    0.650681    0.118525 1\\\\nC      C       12     0.733587    0.611913    0.186579 1\\\\nC      C       12     0.688237    0.573479    0.254250 1\\\\nC      C       12     0.595482    0.573948    0.253706 1\\\\nH      H       12     0.193396    0.612022    0.186246 1\\\\nH      H       12     0.275309    0.552545    0.311629 1\\\\nH      H       12     0.437220    0.551266    0.312520 1\\\\nH      H       12     0.437175    0.672801    0.060301 1\\\\nH      H       12     0.275264    0.671462    0.061221 1\\\\nH      H       12     0.562820    0.681136    0.064643 1\\\\nH      H       12     0.724731    0.681166    0.066220 1\\\\nH      H       12     0.806645    0.612237    0.186243 1\\\\nH      H       12     0.724778    0.543008    0.306548 1\\\\nH      H       12     0.562868    0.542978    0.308155 1\\\\nC      C       12     0.733546    0.388059    0.186682 1\\\\nC      C       12     0.688170    0.421803    0.256792 1\\\\nC      C       12     0.595415    0.421609    0.256070 1\\\\nC      C       12     0.548630    0.388335    0.185011 1\\\\nC      C       12     0.595440    0.354336    0.116757 1\\\\nC      C       12     0.688195    0.354177    0.116051 1\\\\nC      C       12     0.451781    0.388682    0.186105 1\\\\nC      C       12     0.404545    0.349822    0.119086 1\\\\nC      C       12     0.311790    0.349319    0.118525 1\\\\nC      C       12     0.266413    0.388087    0.186579 1\\\\nC      C       12     0.311763    0.426521    0.254250 1\\\\nC      C       12  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C       12     0.266454    0.388059    0.813318 1\\\\nC      C       12     0.311830    0.421803    0.743208 1\\\\nC      C       12     0.404585    0.421609    0.743930 1\\\\nC      C       12     0.451370    0.388335    0.814989 1\\\\nC      C       12     0.404560    0.354336    0.883243 1\\\\nC      C       12     0.311805    0.354177    0.883949 1\\\\nC      C       12     0.548219    0.388682    0.813895 1\\\\nC      C       12     0.595455    0.349822    0.880914 1\\\\nC      C       12     0.688210    0.349319    0.881475 1\\\\nC      C       12     0.733587    0.388087    0.813421 1\\\\nC      C       12     0.688237    0.426521    0.745750 1\\\\nC      C       12     0.595482    0.426052    0.746294 1\\\\nH      H       12     0.193396    0.387978    0.813754 1\\\\nH      H       12     0.275309    0.447455    0.688371 1\\\\nH      H       12     0.437220    0.448734    0.687480 1\\\\nH      H       12     0.437175    0.327199    0.939699 1\\\\nH      H       12     0.275264  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0.5.1)--------------------#\\\\n#       A Python package for random crystal generation      #\\\\n#       url: https://github.com/qzhu2017/pyxtal             #\\\\n#       @Zhu's group at University of Nevada Las Vegas      #\\\\n#############################################################\\\\ndata_from_pyxtal\\\\n\\\\n_symmetry_space_group_name_H-M 'P1'\\\\n_symmetry_Int_Tables_number                    1\\\\n_symmetry_cell_setting                 triclinic\\\\n_cell_length_a           15.167556\\\\n_cell_length_b           15.167556\\\\n_cell_length_c           15.167556\\\\n_cell_angle_alpha        90.000000\\\\n_cell_angle_beta         90.000000\\\\n_cell_angle_gamma        90.000000\\\\n_cell_volume           3489.368108\\\\n\\\\nloop_\\\\n _symmetry_equiv_pos_site_id\\\\n _symmetry_equiv_pos_as_xyz\\\\n1 'x, y, z'\\\\n\\\\nloop_\\\\n _atom_site_label\\\\n _atom_site_type_symbol\\\\n _atom_site_symmetry_multiplicity\\\\n _atom_site_fract_x\\\\n _atom_site_fract_y\\\\n _atom_site_fract_z\\\\n _atom_site_occupancy\\\\nC      C       12     0.266454    0.611941    0.186682 1\\\\nC      C       12     0.311830    0.578197    0.256792 1\\\\nC      C       12     0.404585    0.578391    0.256070 1\\\\nC      C       12     0.451370    0.611665    0.185011 1\\\\nC      C       12     0.404560    0.645664    0.116757 1\\\\nC      C       12     0.311805    0.645823    0.116051 1\\\\nC      C       12     0.548219    0.611318    0.186105 1\\\\nC      C       12     0.595455    0.650178    0.119086 1\\\\nC      C       12     0.688210    0.650681    0.118525 1\\\\nC      C       12     0.733587    0.611913    0.186579 1\\\\nC      C       12     0.688237    0.573479    0.254250 1\\\\nC      C       12     0.595482    0.573948    0.253706 1\\\\nH      H       12     0.193396    0.612022    0.186246 1\\\\nH      H       12     0.275309    0.552545    0.311629 1\\\\nH      H       12     0.437220    0.551266    0.312520 1\\\\nH      H       12     0.437175    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1\\\\nC      C       12     0.311763    0.426521    0.254250 1\\\\nC      C       12     0.404518    0.426052    0.253706 1\\\\nH      H       12     0.806604    0.387978    0.186246 1\\\\nH      H       12     0.724691    0.447455    0.311629 1\\\\nH      H       12     0.562780    0.448734    0.312520 1\\\\nH      H       12     0.562825    0.327199    0.060301 1\\\\nH      H       12     0.724736    0.328538    0.061221 1\\\\nH      H       12     0.437180    0.318864    0.064643 1\\\\nH      H       12     0.275269    0.318834    0.066220 1\\\\nH      H       12     0.193355    0.387763    0.186243 1\\\\nH      H       12     0.275222    0.456992    0.306548 1\\\\nH      H       12     0.437132    0.457022    0.308155 1\\\\nC      C       12     0.733546    0.611941    0.813318 1\\\\nC      C       12     0.688170    0.578197    0.743208 1\\\\nC      C       12     0.595415    0.578391    0.743930 1\\\\nC      C       12     0.548630    0.611665    0.814989 1\\\\nC      C       12  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H       12     0.437175    0.327199    0.939699 1\\\\nH      H       12     0.275264    0.328538    0.938779 1\\\\nH      H       12     0.562820    0.318864    0.935357 1\\\\nH      H       12     0.724731    0.318834    0.933780 1\\\\nH      H       12     0.806645    0.387763    0.813757 1\\\\nH      H       12     0.724778    0.456992    0.693452 1\\\\nH      H       12     0.562868    0.457022    0.691845 1\\\\nC      C       12     0.186682    0.266454    0.611941 1\\\\nC      C       12     0.256792    0.311830    0.578197 1\\\\nC      C       12     0.256070    0.404585    0.578391 1\\\\nC      C       12     0.185011    0.451370    0.611665 1\\\\nC      C       12     0.116757    0.404560    0.645664 1\\\\nC      C       12     0.116051    0.311805    0.645823 1\\\\nC      C       12     0.186105    0.548219    0.611318 1\\\\nC      C       12     0.119086    0.595455    0.650178 1\\\\nC      C       12     0.118525    0.688210    0.650681 1\\\\nC      C       12     0.186579  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       _____) )   _ \\\\\\\\ \\\\\\\\/ / |_  ____| |               #\\\\n#            |  ____/ | | | )  (|  _)/ _  | |               #\\\\n#            | |    | |_| |/ /\\\\\\\\ \\\\\\\\ |_( (_| | |___            #\\\\n#            |_|     \\\\\\\\__  /_/  \\\\\\\\_\\\\\\\\___)__|_|_____)           #\\\\n#                   (____/                                  #\\\\n#---------------------(version    0.5.1)--------------------#\\\\n#       A Python package for random crystal generation      #\\\\n#       url: https://github.com/qzhu2017/pyxtal             #\\\\n#       @Zhu's group at University of Nevada Las Vegas      #\\\\n#############################################################\\\\ndata_from_pyxtal\\\\n\\\\n_symmetry_space_group_name_H-M 'P1'\\\\n_symmetry_Int_Tables_number                    1\\\\n_symmetry_cell_setting                 triclinic\\\\n_cell_length_a           15.167556\\\\n_cell_length_b           15.167556\\\\n_cell_length_c           15.167556\\\\n_cell_angle_alpha        90.000000\\\\n_cell_angle_beta         90.000000\\\\n_cell_angle_gamma        90.000000\\\\n_cell_volume           3489.368108\\\\n\\\\nloop_\\\\n _symmetry_equiv_pos_site_id\\\\n _symmetry_equiv_pos_as_xyz\\\\n1 'x, y, z'\\\\n\\\\nloop_\\\\n _atom_site_label\\\\n _atom_site_type_symbol\\\\n _atom_site_symmetry_multiplicity\\\\n _atom_site_fract_x\\\\n _atom_site_fract_y\\\\n _atom_site_fract_z\\\\n _atom_site_occupancy\\\\nC      C       12     0.266454    0.611941    0.186682 1\\\\nC      C       12     0.311830    0.578197    0.256792 1\\\\nC      C       12     0.404585    0.578391    0.256070 1\\\\nC      C       12     0.451370    0.611665    0.185011 1\\\\nC      C       12     0.404560    0.645664    0.116757 1\\\\nC      C       12     0.311805    0.645823    0.116051 1\\\\nC      C       12     0.548219    0.611318    0.186105 1\\\\nC      C       12     0.595455    0.650178    0.119086 1\\\\nC      C       12     0.688210    0.650681    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\\\\\\\\__  /_/  \\\\\\\\_\\\\\\\\___)__|_|_____)           #\\\\n#                   (____/                                  #\\\\n#---------------------(version    0.5.1)--------------------#\\\\n#       A Python package for random crystal generation      #\\\\n#       url: https://github.com/qzhu2017/pyxtal             #\\\\n#       @Zhu's group at University of Nevada Las Vegas      #\\\\n#############################################################\\\\ndata_from_pyxtal\\\\n\\\\n_symmetry_space_group_name_H-M 'P1'\\\\n_symmetry_Int_Tables_number                    1\\\\n_symmetry_cell_setting                 triclinic\\\\n_cell_length_a           15.167556\\\\n_cell_length_b           15.167556\\\\n_cell_length_c           15.167556\\\\n_cell_angle_alpha        90.000000\\\\n_cell_angle_beta         90.000000\\\\n_cell_angle_gamma        90.000000\\\\n_cell_volume           3489.368108\\\\n\\\\nloop_\\\\n _symmetry_equiv_pos_site_id\\\\n _symmetry_equiv_pos_as_xyz\\\\n1 'x, y, z'\\\\n\\\\nloop_\\\\n _atom_site_label\\\\n _atom_site_type_symbol\\\\n _atom_site_symmetry_multiplicity\\\\n _atom_site_fract_x\\\\n _atom_site_fract_y\\\\n _atom_site_fract_z\\\\n _atom_site_occupancy\\\\nC      C       12     0.266454    0.611941    0.186682 1\\\\nC      C       12     0.311830    0.578197    0.256792 1\\\\nC      C       12     0.404585    0.578391    0.256070 1\\\\nC      C       12     0.451370    0.611665    0.185011 1\\\\nC      C       12     0.404560    0.645664    0.116757 1\\\\nC      C       12     0.311805    0.645823    0.116051 1\\\\nC      C       12     0.548219    0.611318    0.186105 1\\\\nC      C       12     0.595455    0.650178    0.119086 1\\\\nC      C       12     0.688210    0.650681    0.118525 1\\\\nC      C       12     0.733587    0.611913    0.186579 1\\\\nC      C       12     0.688237    0.573479    0.254250 1\\\\nC      C       12     0.595482    0.573948    0.253706 1\\\\nH      H       12     0.193396    0.612022    0.186246 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 | |_| |/ /\\\\\\\\ \\\\\\\\ |_( (_| | |___            #\\\\n#            |_|     \\\\\\\\__  /_/  \\\\\\\\_\\\\\\\\___)__|_|_____)           #\\\\n#                   (____/                                  #\\\\n#---------------------(version    0.5.1)--------------------#\\\\n#       A Python package for random crystal generation      #\\\\n#       url: https://github.com/qzhu2017/pyxtal             #\\\\n#       @Zhu's group at University of Nevada Las Vegas      #\\\\n#############################################################\\\\ndata_from_pyxtal\\\\n\\\\n_symmetry_space_group_name_H-M 'P1'\\\\n_symmetry_Int_Tables_number                    1\\\\n_symmetry_cell_setting                 triclinic\\\\n_cell_length_a           15.167556\\\\n_cell_length_b           15.167556\\\\n_cell_length_c           15.167556\\\\n_cell_angle_alpha        90.000000\\\\n_cell_angle_beta         90.000000\\\\n_cell_angle_gamma        90.000000\\\\n_cell_volume           3489.368108\\\\n\\\\nloop_\\\\n _symmetry_equiv_pos_site_id\\\\n _symmetry_equiv_pos_as_xyz\\\\n1 'x, y, z'\\\\n\\\\nloop_\\\\n _atom_site_label\\\\n _atom_site_type_symbol\\\\n _atom_site_symmetry_multiplicity\\\\n _atom_site_fract_x\\\\n _atom_site_fract_y\\\\n _atom_site_fract_z\\\\n _atom_site_occupancy\\\\nC      C       12     0.266454    0.611941    0.186682 1\\\\nC      C       12     0.311830    0.578197    0.256792 1\\\\nC      C       12     0.404585    0.578391    0.256070 1\\\\nC      C       12     0.451370    0.611665    0.185011 1\\\\nC      C       12     0.404560    0.645664    0.116757 1\\\\nC      C       12     0.311805    0.645823    0.116051 1\\\\nC      C       12     0.548219    0.611318    0.186105 1\\\\nC      C       12     0.595455    0.650178    0.119086 1\\\\nC      C       12     0.688210    0.650681    0.118525 1\\\\nC      C       12     0.733587    0.611913    0.186579 1\\\\nC      C       12     0.688237    0.573479    0.254250 1\\\\nC      C       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C       12     0.116051    0.311805    0.645823 1\\\\nC      C       12     0.186105    0.548219    0.611318 1\\\\nC      C       12     0.119086    0.595455    0.650178 1\\\\nC      C       12     0.118525    0.688210    0.650681 1\\\\nC      C       12     0.186579    0.733587    0.611913 1\\\\nC      C       12     0.254250    0.688237    0.573479 1\\\\nC      C       12     0.253706    0.595482    0.573948 1\\\\nH      H       12     0.186246    0.193396    0.612022 1\\\\nH      H       12     0.311629    0.275309    0.552545 1\\\\nH      H       12     0.312520    0.437220    0.551266 1\\\\nH      H       12     0.060301    0.437175    0.672801 1\\\\nH      H       12     0.061221    0.275264    0.671462 1\\\\nH      H       12     0.064643    0.562820    0.681136 1\\\\nH      H       12     0.066220    0.724731    0.681166 1\\\\nH      H       12     0.186243    0.806645    0.612237 1\\\\nH      H       12     0.306548    0.724778    0.543008 1\\\\nH      H       12     0.308155  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H       12     0.691845    0.562868    0.457022 1\\\\n#END\\\\n\\\\n#############################################################\\\\n#             ______       _    _          _                #\\\\n#            (_____ \\\\\\\\     \\\\\\\\ \\\\\\\\  / /        | |               #\\\\n#             _____) )   _ \\\\\\\\ \\\\\\\\/ / |_  ____| |               #\\\\n#            |  ____/ | | | )  (|  _)/ _  | |               #\\\\n#            | |    | |_| |/ /\\\\\\\\ \\\\\\\\ |_( (_| | |___            #\\\\n#            |_|     \\\\\\\\__  /_/  \\\\\\\\_\\\\\\\\___)__|_|_____)           #\\\\n#                   (____/                                  #\\\\n#---------------------(version    0.5.1)--------------------#\\\\n#       A Python package for random crystal generation      #\\\\n#       url: https://github.com/qzhu2017/pyxtal             #\\\\n#       @Zhu's group at University of Nevada Las Vegas      #\\\\n#############################################################\\\\ndata_from_pyxtal\\\\n\\\\n_symmetry_space_group_name_H-M 'P1'\\\\n_symmetry_Int_Tables_number                    1\\\\n_symmetry_cell_setting                 triclinic\\\\n_cell_length_a           15.167556\\\\n_cell_length_b           15.167556\\\\n_cell_length_c           15.167556\\\\n_cell_angle_alpha        90.000000\\\\n_cell_angle_beta         90.000000\\\\n_cell_angle_gamma        90.000000\\\\n_cell_volume           3489.368108\\\\n\\\\nloop_\\\\n _symmetry_equiv_pos_site_id\\\\n _symmetry_equiv_pos_as_xyz\\\\n1 'x, y, z'\\\\n\\\\nloop_\\\\n _atom_site_label\\\\n _atom_site_type_symbol\\\\n _atom_site_symmetry_multiplicity\\\\n _atom_site_fract_x\\\\n _atom_site_fract_y\\\\n _atom_site_fract_z\\\\n _atom_site_occupancy\\\\nC      C       12     0.266454    0.611941    0.186682 1\\\\nC      C       12     0.311830    0.578197    0.256792 1\\\\nC      C       12     0.404585    0.578391    0.256070 1\\\\nC   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1\\\\n#END\\\\n\\\\n#############################################################\\\\n#             ______       _    _          _                #\\\\n#            (_____ \\\\\\\\     \\\\\\\\ \\\\\\\\  / /        | |               #\\\\n#             _____) )   _ \\\\\\\\ \\\\\\\\/ / |_  ____| |               #\\\\n#            |  ____/ | | | )  (|  _)/ _  | |               #\\\\n#            | |    | |_| |/ /\\\\\\\\ \\\\\\\\ |_( (_| | |___            #\\\\n#            |_|     \\\\\\\\__  /_/  \\\\\\\\_\\\\\\\\___)__|_|_____)           #\\\\n#                   (____/                                  #\\\\n#---------------------(version    0.5.1)--------------------#\\\\n#       A Python package for random crystal generation      #\\\\n#       url: https://github.com/qzhu2017/pyxtal             #\\\\n#       @Zhu's group at University of Nevada Las Vegas      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1\\\\n#END\\\\n\\\\n#############################################################\\\\n#             ______       _    _          _                #\\\\n#            (_____ \\\\\\\\     \\\\\\\\ \\\\\\\\  / /        | |               #\\\\n#             _____) )   _ \\\\\\\\ \\\\\\\\/ / |_  ____| |               #\\\\n#            |  ____/ | | | )  (|  _)/ _  | |               #\\\\n#            | |    | |_| |/ /\\\\\\\\ \\\\\\\\ |_( (_| | |___            #\\\\n#            |_|     \\\\\\\\__  /_/  \\\\\\\\_\\\\\\\\___)__|_|_____)           #\\\\n#                   (____/                                  #\\\\n#---------------------(version    0.5.1)--------------------#\\\\n#       A Python package for random crystal generation      #\\\\n#       url: https://github.com/qzhu2017/pyxtal             #\\\\n#       @Zhu's group at University of Nevada Las Vegas      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generation      #\\\\n#       url: https://github.com/qzhu2017/pyxtal             #\\\\n#       @Zhu's group at University of Nevada Las Vegas      #\\\\n#############################################################\\\\ndata_from_pyxtal\\\\n\\\\n_symmetry_space_group_name_H-M 'P1'\\\\n_symmetry_Int_Tables_number                    1\\\\n_symmetry_cell_setting                 triclinic\\\\n_cell_length_a           15.167556\\\\n_cell_length_b           15.167556\\\\n_cell_length_c           15.167556\\\\n_cell_angle_alpha        90.000000\\\\n_cell_angle_beta         90.000000\\\\n_cell_angle_gamma        90.000000\\\\n_cell_volume           3489.368108\\\\n\\\\nloop_\\\\n _symmetry_equiv_pos_site_id\\\\n _symmetry_equiv_pos_as_xyz\\\\n1 'x, y, z'\\\\n\\\\nloop_\\\\n _atom_site_label\\\\n _atom_site_type_symbol\\\\n _atom_site_symmetry_multiplicity\\\\n _atom_site_fract_x\\\\n _atom_site_fract_y\\\\n _atom_site_fract_z\\\\n _atom_site_occupancy\\\\nC      C       12     0.266454    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#\\\\n#---------------------(version    0.5.1)--------------------#\\\\n#       A Python package for random crystal generation      #\\\\n#       url: https://github.com/qzhu2017/pyxtal             #\\\\n#       @Zhu's group at University of Nevada Las Vegas      #\\\\n#############################################################\\\\ndata_from_pyxtal\\\\n\\\\n_symmetry_space_group_name_H-M 'P1'\\\\n_symmetry_Int_Tables_number                    1\\\\n_symmetry_cell_setting                 triclinic\\\\n_cell_length_a           15.167556\\\\n_cell_length_b           15.167556\\\\n_cell_length_c           15.167556\\\\n_cell_angle_alpha        90.000000\\\\n_cell_angle_beta         90.000000\\\\n_cell_angle_gamma        90.000000\\\\n_cell_volume           3489.368108\\\\n\\\\nloop_\\\\n _symmetry_equiv_pos_site_id\\\\n _symmetry_equiv_pos_as_xyz\\\\n1 'x, y, z'\\\\n\\\\nloop_\\\\n _atom_site_label\\\\n _atom_site_type_symbol\\\\n _atom_site_symmetry_multiplicity\\\\n 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1\\\\n#END\\\\n\\\\n\\\",\\\"cif\\\");\\n\",\n       \"\\tviewer_1660223055533108.animate({\\\"loop\\\": \\\"forward\\\", \\\"interval\\\": 1000});\\n\",\n       \"\\tviewer_1660223055533108.addUnitCell();\\n\",\n       \"\\tviewer_1660223055533108.setStyle({\\\"model\\\": 0},{\\\"stick\\\": {\\\"colorscheme\\\": \\\"greenCarbon\\\"}});\\n\",\n       \"\\tviewer_1660223055533108.zoomTo();\\n\",\n       \"viewer_1660223055533108.render();\\n\",\n       \"});\\n\",\n       \"</script>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    },\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"<py3Dmol.view at 0x7f98e7603250>\"\n      ]\n     },\n     \"execution_count\": 14,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"BIPHEN.show(size=(400, 300), animation=True, interval=1000)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": null,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": []\n  }\n ],\n \"metadata\": {\n  \"@webio\": {\n   \"lastCommId\": null,\n   \"lastKernelId\": null\n  },\n  \"kernelspec\": {\n   \"display_name\": \"Python 3 (ipykernel)\",\n   \"language\": \"python\",\n   \"name\": \"python3\"\n  },\n  \"language_info\": {\n   \"codemirror_mode\": {\n    \"name\": \"ipython\",\n    \"version\": 3\n   },\n   \"file_extension\": \".py\",\n   \"mimetype\": \"text/x-python\",\n   \"name\": \"python\",\n   \"nbconvert_exporter\": \"python\",\n   \"pygments_lexer\": \"ipython3\",\n   \"version\": \"3.7.12\"\n  }\n },\n \"nbformat\": 4,\n \"nbformat_minor\": 2\n}\n"
  },
  {
    "path": "examples/tutorials_notebook/03_pxrd.ipynb",
    "content": "{\n \"cells\": [\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"# Tutorial 3: PXRD module in PyXtal\\n\",\n    \"Source code: https://github.com/qzhu2017/PyXtal\\n\",\n    \"\\n\",\n    \"Created by Qiang Zhu (2020/11/25)\\n\",\n    \"\\n\",\n    \"Last updated: 2022/08/11\\n\",\n    \"\\n\",\n    \"An interactive webpage can be found at the following [link](https://vxrd.physics.unlv.edu)\\n\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 1,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"# load the necessary libraries\\n\",\n    \"\\n\",\n    \"from pkg_resources import resource_filename\\n\",\n    \"\\n\",\n    \"from pyxtal import pyxtal\\n\",\n    \"from pyxtal.XRD import Similarity\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 2,\n   \"metadata\": {\n    \"scrolled\": false\n   },\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"\\n\",\n      \"------Crystal from Seed------\\n\",\n      \"Dimension: 3\\n\",\n      \"Composition: [aspirin]4\\n\",\n      \"Group: P 1 21/c 1 (14)\\n\",\n      \" 11.2330,   6.5440,  11.2310,  90.0000,  95.8900,  90.0000, monoclinic\\n\",\n      \"Wyckoff sites:\\n\",\n      \"\\tH8C9O4       @ [ 0.2414  0.5782  0.0168]  WP [4e] Site [1] Euler [   0.0    0.0    0.0]\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"# specify the path of an experimental structure\\n\",\n    \"cif_nacl = resource_filename(\\\"pyxtal\\\", \\\"database/cifs/NaCl.cif\\\")\\n\",\n    \"cif_aspirin = resource_filename(\\\"pyxtal\\\", \\\"database/cifs/aspirin.cif\\\")\\n\",\n    \"\\n\",\n    \"# load the structure from pyxtal\\n\",\n    \"\\n\",\n    \"# if you load the atomic crystal\\n\",\n    \"#xtal1 = pyxtal()\\n\",\n    \"#xtal1.from_seed(seed = cif_nacl)\\n\",\n    \"\\n\",\n    \"# to load a molecular crystal, also needs to specify the molecule tag\\n\",\n    \"xtal1 = pyxtal(molecular=True)\\n\",\n    \"xtal1.from_seed(seed=cif_aspirin, molecules=[\\\"aspirin\\\"])\\n\",\n    \"print(xtal1)\\n\",\n    \"\\n\",\n    \"# visualize the structure\\n\",\n    \"# xtal1.show()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 3,\n   \"metadata\": {\n    \"scrolled\": false\n   },\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"  2theta     d_hkl     hkl       Intensity  Multi\\n\",\n      \"   7.912    11.174   [ 1  0  0]    43.69        2\\n\",\n      \"  15.693     5.647   [ 1  1  0]    11.94        4\\n\",\n      \"  15.694     5.647   [ 0  1  1]    13.85        4\\n\",\n      \"  15.863     5.587   [ 2  0  0]    15.35        2\\n\",\n      \"  15.866     5.586   [ 0  0  2]   100.00        2\\n\",\n      \"  17.002     5.215   [ 1  0 -2]     6.52        2\\n\",\n      \"  17.224     5.148   [ 1  1 -1]     1.15        4\\n\",\n      \"  17.965     4.938   [ 1  1  1]     2.18        4\\n\",\n      \"  18.472     4.803   [ 1  0  2]     1.69        2\\n\",\n      \"  20.907     4.249   [ 2  1  0]     8.59        4\\n\",\n      \"  20.909     4.249   [ 0  1  2]    22.40        4\\n\",\n      \"  21.308     4.170   [ 2  0 -2]     6.03        2\\n\",\n      \"  21.791     4.079   [ 2  1 -1]     6.94        4\\n\",\n      \"  21.792     4.078   [ 1  1 -2]     1.73        4\\n\",\n      \"  22.967     3.872   [ 2  1  1]    49.23        4\\n\",\n      \"  22.968     3.872   [ 1  1  2]    46.39        4\\n\",\n      \"  23.651     3.762   [ 2  0  2]    17.19        2\\n\",\n      \"  23.891     3.725   [ 3  0  0]     2.41        2\\n\",\n      \"  25.327     3.517   [ 2  1 -2]     4.51        4\\n\",\n      \"  27.255     3.272   [ 0  2  0]    13.80        2\\n\",\n      \"  27.346     3.261   [ 2  1  2]    50.63        4\\n\",\n      \"  27.384     3.257   [ 3  0 -2]     1.87        2\\n\",\n      \"  27.556     3.237   [ 3  1  0]    50.62        4\\n\",\n      \"  27.560     3.237   [ 0  1  3]     0.76        4\\n\",\n      \"  28.006     3.186   [ 3  1 -1]     5.42        4\\n\",\n      \"  28.009     3.186   [ 1  1 -3]     3.34        4\\n\",\n      \"  28.423     3.140   [ 1  2  0]     1.21        4\\n\",\n      \"  28.424     3.140   [ 0  2  1]     0.02        4\\n\",\n      \"  29.322     3.046   [ 1  2 -1]     0.25        4\\n\",\n      \"  29.405     3.038   [ 3  1  1]     7.16        4\\n\",\n      \"  29.408     3.037   [ 1  1  3]     2.32        4\\n\",\n      \"  29.776     3.001   [ 1  2  1]     2.25        4\\n\",\n      \"  30.175     2.962   [ 3  0  2]     2.27        2\\n\",\n      \"  30.662     2.916   [ 3  1 -2]     6.68        4\\n\",\n      \"  30.664     2.916   [ 2  1 -3]     1.43        4\\n\",\n      \"  31.691     2.823   [ 2  2  0]     3.22        4\\n\",\n      \"  31.693     2.823   [ 0  2  2]     2.77        4\\n\",\n      \"  32.040     2.793   [ 4  0  0]     3.69        2\\n\",\n      \"  32.046     2.793   [ 0  0  4]     0.02        2\\n\",\n      \"  32.230     2.777   [ 1  0 -4]     2.15        2\\n\",\n      \"  32.298     2.772   [ 2  2 -1]     0.25        4\\n\",\n      \"  32.299     2.772   [ 1  2 -2]     0.18        4\\n\",\n      \"  33.127     2.704   [ 2  2  1]     1.38        4\\n\",\n      \"  33.128     2.704   [ 1  2  2]     2.22        4\\n\",\n      \"  33.203     2.698   [ 3  1  2]    11.60        4\\n\",\n      \"  33.204     2.698   [ 2  1  3]    13.36        4\\n\",\n      \"  33.872     2.646   [ 1  0  4]     0.00        2\\n\",\n      \"  34.390     2.608   [ 4  0 -2]     0.70        2\\n\",\n      \"  34.394     2.607   [ 2  0 -4]     2.82        2\\n\",\n      \"  34.854     2.574   [ 2  2 -2]     2.34        4\\n\",\n      \"  34.923     2.569   [ 4  1  0]     0.01        4\\n\",\n      \"  34.929     2.569   [ 0  1  4]     2.85        4\\n\",\n      \"\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"# compute the xrd project\\n\",\n    \"xrd = xtal1.get_XRD(thetas=[0, 35])\\n\",\n    \"\\n\",\n    \"# you can easily access the diffraction information by hkl indices\\n\",\n    \"print(xrd)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 4,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": 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     \"text/plain\": [\n       \"<Figure size 1152x432 with 1 Axes>\"\n      ]\n     },\n     \"metadata\": {\n      \"needs_background\": \"light\"\n     },\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"# plot XRD\\n\",\n    \"fig = xrd.plot_pxrd(fontsize=18,\\n\",\n    \"                    figsize=(16,6),\\n\",\n    \"                    show_hkl=False,\\n\",\n    \"                    xlim=[5,36],\\n\",\n    \"                    width=0.5,\\n\",\n    \"                    minimum_I=0.1)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 5,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"This is running on Jupyter Notebook\\n\"\n     ]\n    },\n    {\n     \"data\": {\n      \"text/html\": [\n       \"        <script type=\\\"text/javascript\\\">\\n\",\n       \"        window.PlotlyConfig = {MathJaxConfig: 'local'};\\n\",\n       \"       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this},a.prototype.add=function(t){var e;return 0!==t.negative&&0===this.negative?(t.negative=0,e=this.sub(t),t.negative^=1,e):0===t.negative&&0!==this.negative?(this.negative=0,e=t.sub(this),this.negative=1,e):this.length>t.length?this.clone().iadd(t):t.clone().iadd(this)},a.prototype.isub=function(t){if(0!==t.negative){t.negative=0;var e=this.iadd(t);return t.negative=1,e._normSign()}if(0!==this.negative)return this.negative=0,this.iadd(t),this.negative=1,this._normSign();var r,n,i=this.cmp(t);if(0===i)return this.negative=0,this.length=1,this.words[0]=0,this;i>0?(r=this,n=t):(r=t,n=this);for(var a=0,o=0;o<n.length;o++)a=(e=(0|r.words[o])-(0|n.words[o])+a)>>26,this.words[o]=67108863&e;for(;0!==a&&o<r.length;o++)a=(e=(0|r.words[o])+a)>>26,this.words[o]=67108863&e;if(0===a&&o<r.length&&r!==this)for(;o<r.length;o++)this.words[o]=r.words[o];return this.length=Math.max(this.length,o),r!==this&&(this.negative=1),this.strip()},a.prototype.sub=function(t){return this.clone().isub(t)};var p=function(t,e,r){var n,i,a,o=t.words,s=e.words,l=r.words,c=0,u=0|o[0],f=8191&u,h=u>>>13,p=0|o[1],d=8191&p,m=p>>>13,g=0|o[2],v=8191&g,y=g>>>13,x=0|o[3],b=8191&x,_=x>>>13,w=0|o[4],T=8191&w,k=w>>>13,M=0|o[5],A=8191&M,S=M>>>13,E=0|o[6],L=8191&E,C=E>>>13,P=0|o[7],I=8191&P,O=P>>>13,z=0|o[8],D=8191&z,R=z>>>13,F=0|o[9],B=8191&F,N=F>>>13,j=0|s[0],U=8191&j,V=j>>>13,q=0|s[1],H=8191&q,G=q>>>13,Y=0|s[2],W=8191&Y,X=Y>>>13,Z=0|s[3],J=8191&Z,K=Z>>>13,Q=0|s[4],$=8191&Q,tt=Q>>>13,et=0|s[5],rt=8191&et,nt=et>>>13,it=0|s[6],at=8191&it,ot=it>>>13,st=0|s[7],lt=8191&st,ct=st>>>13,ut=0|s[8],ft=8191&ut,ht=ut>>>13,pt=0|s[9],dt=8191&pt,mt=pt>>>13;r.negative=t.negative^e.negative,r.length=19;var gt=(c+(n=Math.imul(f,U))|0)+((8191&(i=(i=Math.imul(f,V))+Math.imul(h,U)|0))<<13)|0;c=((a=Math.imul(h,V))+(i>>>13)|0)+(gt>>>26)|0,gt&=67108863,n=Math.imul(d,U),i=(i=Math.imul(d,V))+Math.imul(m,U)|0,a=Math.imul(m,V);var vt=(c+(n=n+Math.imul(f,H)|0)|0)+((8191&(i=(i=i+Math.imul(f,G)|0)+Math.imul(h,H)|0))<<13)|0;c=((a=a+Math.imul(h,G)|0)+(i>>>13)|0)+(vt>>>26)|0,vt&=67108863,n=Math.imul(v,U),i=(i=Math.imul(v,V))+Math.imul(y,U)|0,a=Math.imul(y,V),n=n+Math.imul(d,H)|0,i=(i=i+Math.imul(d,G)|0)+Math.imul(m,H)|0,a=a+Math.imul(m,G)|0;var yt=(c+(n=n+Math.imul(f,W)|0)|0)+((8191&(i=(i=i+Math.imul(f,X)|0)+Math.imul(h,W)|0))<<13)|0;c=((a=a+Math.imul(h,X)|0)+(i>>>13)|0)+(yt>>>26)|0,yt&=67108863,n=Math.imul(b,U),i=(i=Math.imul(b,V))+Math.imul(_,U)|0,a=Math.imul(_,V),n=n+Math.imul(v,H)|0,i=(i=i+Math.imul(v,G)|0)+Math.imul(y,H)|0,a=a+Math.imul(y,G)|0,n=n+Math.imul(d,W)|0,i=(i=i+Math.imul(d,X)|0)+Math.imul(m,W)|0,a=a+Math.imul(m,X)|0;var xt=(c+(n=n+Math.imul(f,J)|0)|0)+((8191&(i=(i=i+Math.imul(f,K)|0)+Math.imul(h,J)|0))<<13)|0;c=((a=a+Math.imul(h,K)|0)+(i>>>13)|0)+(xt>>>26)|0,xt&=67108863,n=Math.imul(T,U),i=(i=Math.imul(T,V))+Math.imul(k,U)|0,a=Math.imul(k,V),n=n+Math.imul(b,H)|0,i=(i=i+Math.imul(b,G)|0)+Math.imul(_,H)|0,a=a+Math.imul(_,G)|0,n=n+Math.imul(v,W)|0,i=(i=i+Math.imul(v,X)|0)+Math.imul(y,W)|0,a=a+Math.imul(y,X)|0,n=n+Math.imul(d,J)|0,i=(i=i+Math.imul(d,K)|0)+Math.imul(m,J)|0,a=a+Math.imul(m,K)|0;var bt=(c+(n=n+Math.imul(f,$)|0)|0)+((8191&(i=(i=i+Math.imul(f,tt)|0)+Math.imul(h,$)|0))<<13)|0;c=((a=a+Math.imul(h,tt)|0)+(i>>>13)|0)+(bt>>>26)|0,bt&=67108863,n=Math.imul(A,U),i=(i=Math.imul(A,V))+Math.imul(S,U)|0,a=Math.imul(S,V),n=n+Math.imul(T,H)|0,i=(i=i+Math.imul(T,G)|0)+Math.imul(k,H)|0,a=a+Math.imul(k,G)|0,n=n+Math.imul(b,W)|0,i=(i=i+Math.imul(b,X)|0)+Math.imul(_,W)|0,a=a+Math.imul(_,X)|0,n=n+Math.imul(v,J)|0,i=(i=i+Math.imul(v,K)|0)+Math.imul(y,J)|0,a=a+Math.imul(y,K)|0,n=n+Math.imul(d,$)|0,i=(i=i+Math.imul(d,tt)|0)+Math.imul(m,$)|0,a=a+Math.imul(m,tt)|0;var _t=(c+(n=n+Math.imul(f,rt)|0)|0)+((8191&(i=(i=i+Math.imul(f,nt)|0)+Math.imul(h,rt)|0))<<13)|0;c=((a=a+Math.imul(h,nt)|0)+(i>>>13)|0)+(_t>>>26)|0,_t&=67108863,n=Math.imul(L,U),i=(i=Math.imul(L,V))+Math.imul(C,U)|0,a=Math.imul(C,V),n=n+Math.imul(A,H)|0,i=(i=i+Math.imul(A,G)|0)+Math.imul(S,H)|0,a=a+Math.imul(S,G)|0,n=n+Math.imul(T,W)|0,i=(i=i+Math.imul(T,X)|0)+Math.imul(k,W)|0,a=a+Math.imul(k,X)|0,n=n+Math.imul(b,J)|0,i=(i=i+Math.imul(b,K)|0)+Math.imul(_,J)|0,a=a+Math.imul(_,K)|0,n=n+Math.imul(v,$)|0,i=(i=i+Math.imul(v,tt)|0)+Math.imul(y,$)|0,a=a+Math.imul(y,tt)|0,n=n+Math.imul(d,rt)|0,i=(i=i+Math.imul(d,nt)|0)+Math.imul(m,rt)|0,a=a+Math.imul(m,nt)|0;var wt=(c+(n=n+Math.imul(f,at)|0)|0)+((8191&(i=(i=i+Math.imul(f,ot)|0)+Math.imul(h,at)|0))<<13)|0;c=((a=a+Math.imul(h,ot)|0)+(i>>>13)|0)+(wt>>>26)|0,wt&=67108863,n=Math.imul(I,U),i=(i=Math.imul(I,V))+Math.imul(O,U)|0,a=Math.imul(O,V),n=n+Math.imul(L,H)|0,i=(i=i+Math.imul(L,G)|0)+Math.imul(C,H)|0,a=a+Math.imul(C,G)|0,n=n+Math.imul(A,W)|0,i=(i=i+Math.imul(A,X)|0)+Math.imul(S,W)|0,a=a+Math.imul(S,X)|0,n=n+Math.imul(T,J)|0,i=(i=i+Math.imul(T,K)|0)+Math.imul(k,J)|0,a=a+Math.imul(k,K)|0,n=n+Math.imul(b,$)|0,i=(i=i+Math.imul(b,tt)|0)+Math.imul(_,$)|0,a=a+Math.imul(_,tt)|0,n=n+Math.imul(v,rt)|0,i=(i=i+Math.imul(v,nt)|0)+Math.imul(y,rt)|0,a=a+Math.imul(y,nt)|0,n=n+Math.imul(d,at)|0,i=(i=i+Math.imul(d,ot)|0)+Math.imul(m,at)|0,a=a+Math.imul(m,ot)|0;var Tt=(c+(n=n+Math.imul(f,lt)|0)|0)+((8191&(i=(i=i+Math.imul(f,ct)|0)+Math.imul(h,lt)|0))<<13)|0;c=((a=a+Math.imul(h,ct)|0)+(i>>>13)|0)+(Tt>>>26)|0,Tt&=67108863,n=Math.imul(D,U),i=(i=Math.imul(D,V))+Math.imul(R,U)|0,a=Math.imul(R,V),n=n+Math.imul(I,H)|0,i=(i=i+Math.imul(I,G)|0)+Math.imul(O,H)|0,a=a+Math.imul(O,G)|0,n=n+Math.imul(L,W)|0,i=(i=i+Math.imul(L,X)|0)+Math.imul(C,W)|0,a=a+Math.imul(C,X)|0,n=n+Math.imul(A,J)|0,i=(i=i+Math.imul(A,K)|0)+Math.imul(S,J)|0,a=a+Math.imul(S,K)|0,n=n+Math.imul(T,$)|0,i=(i=i+Math.imul(T,tt)|0)+Math.imul(k,$)|0,a=a+Math.imul(k,tt)|0,n=n+Math.imul(b,rt)|0,i=(i=i+Math.imul(b,nt)|0)+Math.imul(_,rt)|0,a=a+Math.imul(_,nt)|0,n=n+Math.imul(v,at)|0,i=(i=i+Math.imul(v,ot)|0)+Math.imul(y,at)|0,a=a+Math.imul(y,ot)|0,n=n+Math.imul(d,lt)|0,i=(i=i+Math.imul(d,ct)|0)+Math.imul(m,lt)|0,a=a+Math.imul(m,ct)|0;var kt=(c+(n=n+Math.imul(f,ft)|0)|0)+((8191&(i=(i=i+Math.imul(f,ht)|0)+Math.imul(h,ft)|0))<<13)|0;c=((a=a+Math.imul(h,ht)|0)+(i>>>13)|0)+(kt>>>26)|0,kt&=67108863,n=Math.imul(B,U),i=(i=Math.imul(B,V))+Math.imul(N,U)|0,a=Math.imul(N,V),n=n+Math.imul(D,H)|0,i=(i=i+Math.imul(D,G)|0)+Math.imul(R,H)|0,a=a+Math.imul(R,G)|0,n=n+Math.imul(I,W)|0,i=(i=i+Math.imul(I,X)|0)+Math.imul(O,W)|0,a=a+Math.imul(O,X)|0,n=n+Math.imul(L,J)|0,i=(i=i+Math.imul(L,K)|0)+Math.imul(C,J)|0,a=a+Math.imul(C,K)|0,n=n+Math.imul(A,$)|0,i=(i=i+Math.imul(A,tt)|0)+Math.imul(S,$)|0,a=a+Math.imul(S,tt)|0,n=n+Math.imul(T,rt)|0,i=(i=i+Math.imul(T,nt)|0)+Math.imul(k,rt)|0,a=a+Math.imul(k,nt)|0,n=n+Math.imul(b,at)|0,i=(i=i+Math.imul(b,ot)|0)+Math.imul(_,at)|0,a=a+Math.imul(_,ot)|0,n=n+Math.imul(v,lt)|0,i=(i=i+Math.imul(v,ct)|0)+Math.imul(y,lt)|0,a=a+Math.imul(y,ct)|0,n=n+Math.imul(d,ft)|0,i=(i=i+Math.imul(d,ht)|0)+Math.imul(m,ft)|0,a=a+Math.imul(m,ht)|0;var Mt=(c+(n=n+Math.imul(f,dt)|0)|0)+((8191&(i=(i=i+Math.imul(f,mt)|0)+Math.imul(h,dt)|0))<<13)|0;c=((a=a+Math.imul(h,mt)|0)+(i>>>13)|0)+(Mt>>>26)|0,Mt&=67108863,n=Math.imul(B,H),i=(i=Math.imul(B,G))+Math.imul(N,H)|0,a=Math.imul(N,G),n=n+Math.imul(D,W)|0,i=(i=i+Math.imul(D,X)|0)+Math.imul(R,W)|0,a=a+Math.imul(R,X)|0,n=n+Math.imul(I,J)|0,i=(i=i+Math.imul(I,K)|0)+Math.imul(O,J)|0,a=a+Math.imul(O,K)|0,n=n+Math.imul(L,$)|0,i=(i=i+Math.imul(L,tt)|0)+Math.imul(C,$)|0,a=a+Math.imul(C,tt)|0,n=n+Math.imul(A,rt)|0,i=(i=i+Math.imul(A,nt)|0)+Math.imul(S,rt)|0,a=a+Math.imul(S,nt)|0,n=n+Math.imul(T,at)|0,i=(i=i+Math.imul(T,ot)|0)+Math.imul(k,at)|0,a=a+Math.imul(k,ot)|0,n=n+Math.imul(b,lt)|0,i=(i=i+Math.imul(b,ct)|0)+Math.imul(_,lt)|0,a=a+Math.imul(_,ct)|0,n=n+Math.imul(v,ft)|0,i=(i=i+Math.imul(v,ht)|0)+Math.imul(y,ft)|0,a=a+Math.imul(y,ht)|0;var At=(c+(n=n+Math.imul(d,dt)|0)|0)+((8191&(i=(i=i+Math.imul(d,mt)|0)+Math.imul(m,dt)|0))<<13)|0;c=((a=a+Math.imul(m,mt)|0)+(i>>>13)|0)+(At>>>26)|0,At&=67108863,n=Math.imul(B,W),i=(i=Math.imul(B,X))+Math.imul(N,W)|0,a=Math.imul(N,X),n=n+Math.imul(D,J)|0,i=(i=i+Math.imul(D,K)|0)+Math.imul(R,J)|0,a=a+Math.imul(R,K)|0,n=n+Math.imul(I,$)|0,i=(i=i+Math.imul(I,tt)|0)+Math.imul(O,$)|0,a=a+Math.imul(O,tt)|0,n=n+Math.imul(L,rt)|0,i=(i=i+Math.imul(L,nt)|0)+Math.imul(C,rt)|0,a=a+Math.imul(C,nt)|0,n=n+Math.imul(A,at)|0,i=(i=i+Math.imul(A,ot)|0)+Math.imul(S,at)|0,a=a+Math.imul(S,ot)|0,n=n+Math.imul(T,lt)|0,i=(i=i+Math.imul(T,ct)|0)+Math.imul(k,lt)|0,a=a+Math.imul(k,ct)|0,n=n+Math.imul(b,ft)|0,i=(i=i+Math.imul(b,ht)|0)+Math.imul(_,ft)|0,a=a+Math.imul(_,ht)|0;var St=(c+(n=n+Math.imul(v,dt)|0)|0)+((8191&(i=(i=i+Math.imul(v,mt)|0)+Math.imul(y,dt)|0))<<13)|0;c=((a=a+Math.imul(y,mt)|0)+(i>>>13)|0)+(St>>>26)|0,St&=67108863,n=Math.imul(B,J),i=(i=Math.imul(B,K))+Math.imul(N,J)|0,a=Math.imul(N,K),n=n+Math.imul(D,$)|0,i=(i=i+Math.imul(D,tt)|0)+Math.imul(R,$)|0,a=a+Math.imul(R,tt)|0,n=n+Math.imul(I,rt)|0,i=(i=i+Math.imul(I,nt)|0)+Math.imul(O,rt)|0,a=a+Math.imul(O,nt)|0,n=n+Math.imul(L,at)|0,i=(i=i+Math.imul(L,ot)|0)+Math.imul(C,at)|0,a=a+Math.imul(C,ot)|0,n=n+Math.imul(A,lt)|0,i=(i=i+Math.imul(A,ct)|0)+Math.imul(S,lt)|0,a=a+Math.imul(S,ct)|0,n=n+Math.imul(T,ft)|0,i=(i=i+Math.imul(T,ht)|0)+Math.imul(k,ft)|0,a=a+Math.imul(k,ht)|0;var Et=(c+(n=n+Math.imul(b,dt)|0)|0)+((8191&(i=(i=i+Math.imul(b,mt)|0)+Math.imul(_,dt)|0))<<13)|0;c=((a=a+Math.imul(_,mt)|0)+(i>>>13)|0)+(Et>>>26)|0,Et&=67108863,n=Math.imul(B,$),i=(i=Math.imul(B,tt))+Math.imul(N,$)|0,a=Math.imul(N,tt),n=n+Math.imul(D,rt)|0,i=(i=i+Math.imul(D,nt)|0)+Math.imul(R,rt)|0,a=a+Math.imul(R,nt)|0,n=n+Math.imul(I,at)|0,i=(i=i+Math.imul(I,ot)|0)+Math.imul(O,at)|0,a=a+Math.imul(O,ot)|0,n=n+Math.imul(L,lt)|0,i=(i=i+Math.imul(L,ct)|0)+Math.imul(C,lt)|0,a=a+Math.imul(C,ct)|0,n=n+Math.imul(A,ft)|0,i=(i=i+Math.imul(A,ht)|0)+Math.imul(S,ft)|0,a=a+Math.imul(S,ht)|0;var Lt=(c+(n=n+Math.imul(T,dt)|0)|0)+((8191&(i=(i=i+Math.imul(T,mt)|0)+Math.imul(k,dt)|0))<<13)|0;c=((a=a+Math.imul(k,mt)|0)+(i>>>13)|0)+(Lt>>>26)|0,Lt&=67108863,n=Math.imul(B,rt),i=(i=Math.imul(B,nt))+Math.imul(N,rt)|0,a=Math.imul(N,nt),n=n+Math.imul(D,at)|0,i=(i=i+Math.imul(D,ot)|0)+Math.imul(R,at)|0,a=a+Math.imul(R,ot)|0,n=n+Math.imul(I,lt)|0,i=(i=i+Math.imul(I,ct)|0)+Math.imul(O,lt)|0,a=a+Math.imul(O,ct)|0,n=n+Math.imul(L,ft)|0,i=(i=i+Math.imul(L,ht)|0)+Math.imul(C,ft)|0,a=a+Math.imul(C,ht)|0;var Ct=(c+(n=n+Math.imul(A,dt)|0)|0)+((8191&(i=(i=i+Math.imul(A,mt)|0)+Math.imul(S,dt)|0))<<13)|0;c=((a=a+Math.imul(S,mt)|0)+(i>>>13)|0)+(Ct>>>26)|0,Ct&=67108863,n=Math.imul(B,at),i=(i=Math.imul(B,ot))+Math.imul(N,at)|0,a=Math.imul(N,ot),n=n+Math.imul(D,lt)|0,i=(i=i+Math.imul(D,ct)|0)+Math.imul(R,lt)|0,a=a+Math.imul(R,ct)|0,n=n+Math.imul(I,ft)|0,i=(i=i+Math.imul(I,ht)|0)+Math.imul(O,ft)|0,a=a+Math.imul(O,ht)|0;var Pt=(c+(n=n+Math.imul(L,dt)|0)|0)+((8191&(i=(i=i+Math.imul(L,mt)|0)+Math.imul(C,dt)|0))<<13)|0;c=((a=a+Math.imul(C,mt)|0)+(i>>>13)|0)+(Pt>>>26)|0,Pt&=67108863,n=Math.imul(B,lt),i=(i=Math.imul(B,ct))+Math.imul(N,lt)|0,a=Math.imul(N,ct),n=n+Math.imul(D,ft)|0,i=(i=i+Math.imul(D,ht)|0)+Math.imul(R,ft)|0,a=a+Math.imul(R,ht)|0;var It=(c+(n=n+Math.imul(I,dt)|0)|0)+((8191&(i=(i=i+Math.imul(I,mt)|0)+Math.imul(O,dt)|0))<<13)|0;c=((a=a+Math.imul(O,mt)|0)+(i>>>13)|0)+(It>>>26)|0,It&=67108863,n=Math.imul(B,ft),i=(i=Math.imul(B,ht))+Math.imul(N,ft)|0,a=Math.imul(N,ht);var Ot=(c+(n=n+Math.imul(D,dt)|0)|0)+((8191&(i=(i=i+Math.imul(D,mt)|0)+Math.imul(R,dt)|0))<<13)|0;c=((a=a+Math.imul(R,mt)|0)+(i>>>13)|0)+(Ot>>>26)|0,Ot&=67108863;var zt=(c+(n=Math.imul(B,dt))|0)+((8191&(i=(i=Math.imul(B,mt))+Math.imul(N,dt)|0))<<13)|0;return c=((a=Math.imul(N,mt))+(i>>>13)|0)+(zt>>>26)|0,zt&=67108863,l[0]=gt,l[1]=vt,l[2]=yt,l[3]=xt,l[4]=bt,l[5]=_t,l[6]=wt,l[7]=Tt,l[8]=kt,l[9]=Mt,l[10]=At,l[11]=St,l[12]=Et,l[13]=Lt,l[14]=Ct,l[15]=Pt,l[16]=It,l[17]=Ot,l[18]=zt,0!==c&&(l[19]=c,r.length++),r};function d(t,e,r){return(new m).mulp(t,e,r)}function m(t,e){this.x=t,this.y=e}Math.imul||(p=h),a.prototype.mulTo=function(t,e){var r=this.length+t.length;return 10===this.length&&10===t.length?p(this,t,e):r<63?h(this,t,e):r<1024?function(t,e,r){r.negative=e.negative^t.negative,r.length=t.length+e.length;for(var n=0,i=0,a=0;a<r.length-1;a++){var o=i;i=0;for(var s=67108863&n,l=Math.min(a,e.length-1),c=Math.max(0,a-t.length+1);c<=l;c++){var u=a-c,f=(0|t.words[u])*(0|e.words[c]),h=67108863&f;s=67108863&(h=h+s|0),i+=(o=(o=o+(f/67108864|0)|0)+(h>>>26)|0)>>>26,o&=67108863}r.words[a]=s,n=o,o=i}return 0!==n?r.words[a]=n:r.length--,r.strip()}(this,t,e):d(this,t,e)},m.prototype.makeRBT=function(t){for(var e=new Array(t),r=a.prototype._countBits(t)-1,n=0;n<t;n++)e[n]=this.revBin(n,r,t);return e},m.prototype.revBin=function(t,e,r){if(0===t||t===r-1)return t;for(var n=0,i=0;i<e;i++)n|=(1&t)<<e-i-1,t>>=1;return n},m.prototype.permute=function(t,e,r,n,i,a){for(var o=0;o<a;o++)n[o]=e[t[o]],i[o]=r[t[o]]},m.prototype.transform=function(t,e,r,n,i,a){this.permute(a,t,e,r,n,i);for(var o=1;o<i;o<<=1)for(var s=o<<1,l=Math.cos(2*Math.PI/s),c=Math.sin(2*Math.PI/s),u=0;u<i;u+=s)for(var f=l,h=c,p=0;p<o;p++){var d=r[u+p],m=n[u+p],g=r[u+p+o],v=n[u+p+o],y=f*g-h*v;v=f*v+h*g,g=y,r[u+p]=d+g,n[u+p]=m+v,r[u+p+o]=d-g,n[u+p+o]=m-v,p!==s&&(y=l*f-c*h,h=l*h+c*f,f=y)}},m.prototype.guessLen13b=function(t,e){var r=1|Math.max(e,t),n=1&r,i=0;for(r=r/2|0;r;r>>>=1)i++;return 1<<i+1+n},m.prototype.conjugate=function(t,e,r){if(!(r<=1))for(var n=0;n<r/2;n++){var i=t[n];t[n]=t[r-n-1],t[r-n-1]=i,i=e[n],e[n]=-e[r-n-1],e[r-n-1]=-i}},m.prototype.normalize13b=function(t,e){for(var r=0,n=0;n<e/2;n++){var i=8192*Math.round(t[2*n+1]/e)+Math.round(t[2*n]/e)+r;t[n]=67108863&i,r=i<67108864?0:i/67108864|0}return t},m.prototype.convert13b=function(t,e,r,i){for(var a=0,o=0;o<e;o++)a+=0|t[o],r[2*o]=8191&a,a>>>=13,r[2*o+1]=8191&a,a>>>=13;for(o=2*e;o<i;++o)r[o]=0;n(0===a),n(0==(-8192&a))},m.prototype.stub=function(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=0;return e},m.prototype.mulp=function(t,e,r){var n=2*this.guessLen13b(t.length,e.length),i=this.makeRBT(n),a=this.stub(n),o=new Array(n),s=new Array(n),l=new Array(n),c=new Array(n),u=new Array(n),f=new Array(n),h=r.words;h.length=n,this.convert13b(t.words,t.length,o,n),this.convert13b(e.words,e.length,c,n),this.transform(o,a,s,l,n,i),this.transform(c,a,u,f,n,i);for(var p=0;p<n;p++){var d=s[p]*u[p]-l[p]*f[p];l[p]=s[p]*f[p]+l[p]*u[p],s[p]=d}return this.conjugate(s,l,n),this.transform(s,l,h,a,n,i),this.conjugate(h,a,n),this.normalize13b(h,n),r.negative=t.negative^e.negative,r.length=t.length+e.length,r.strip()},a.prototype.mul=function(t){var e=new a(null);return e.words=new Array(this.length+t.length),this.mulTo(t,e)},a.prototype.mulf=function(t){var e=new a(null);return e.words=new Array(this.length+t.length),d(this,t,e)},a.prototype.imul=function(t){return this.clone().mulTo(t,this)},a.prototype.imuln=function(t){n(\\\"number\\\"==typeof t),n(t<67108864);for(var e=0,r=0;r<this.length;r++){var i=(0|this.words[r])*t,a=(67108863&i)+(67108863&e);e>>=26,e+=i/67108864|0,e+=a>>>26,this.words[r]=67108863&a}return 0!==e&&(this.words[r]=e,this.length++),this},a.prototype.muln=function(t){return this.clone().imuln(t)},a.prototype.sqr=function(){return this.mul(this)},a.prototype.isqr=function(){return this.imul(this.clone())},a.prototype.pow=function(t){var e=function(t){for(var e=new Array(t.bitLength()),r=0;r<e.length;r++){var n=r/26|0,i=r%26;e[r]=(t.words[n]&1<<i)>>>i}return e}(t);if(0===e.length)return new a(1);for(var r=this,n=0;n<e.length&&0===e[n];n++,r=r.sqr());if(++n<e.length)for(var i=r.sqr();n<e.length;n++,i=i.sqr())0!==e[n]&&(r=r.mul(i));return r},a.prototype.iushln=function(t){n(\\\"number\\\"==typeof t&&t>=0);var e,r=t%26,i=(t-r)/26,a=67108863>>>26-r<<26-r;if(0!==r){var o=0;for(e=0;e<this.length;e++){var s=this.words[e]&a,l=(0|this.words[e])-s<<r;this.words[e]=l|o,o=s>>>26-r}o&&(this.words[e]=o,this.length++)}if(0!==i){for(e=this.length-1;e>=0;e--)this.words[e+i]=this.words[e];for(e=0;e<i;e++)this.words[e]=0;this.length+=i}return this.strip()},a.prototype.ishln=function(t){return n(0===this.negative),this.iushln(t)},a.prototype.iushrn=function(t,e,r){var i;n(\\\"number\\\"==typeof t&&t>=0),i=e?(e-e%26)/26:0;var a=t%26,o=Math.min((t-a)/26,this.length),s=67108863^67108863>>>a<<a,l=r;if(i-=o,i=Math.max(0,i),l){for(var c=0;c<o;c++)l.words[c]=this.words[c];l.length=o}if(0===o);else if(this.length>o)for(this.length-=o,c=0;c<this.length;c++)this.words[c]=this.words[c+o];else this.words[0]=0,this.length=1;var u=0;for(c=this.length-1;c>=0&&(0!==u||c>=i);c--){var f=0|this.words[c];this.words[c]=u<<26-a|f>>>a,u=f&s}return l&&0!==u&&(l.words[l.length++]=u),0===this.length&&(this.words[0]=0,this.length=1),this.strip()},a.prototype.ishrn=function(t,e,r){return n(0===this.negative),this.iushrn(t,e,r)},a.prototype.shln=function(t){return this.clone().ishln(t)},a.prototype.ushln=function(t){return this.clone().iushln(t)},a.prototype.shrn=function(t){return this.clone().ishrn(t)},a.prototype.ushrn=function(t){return this.clone().iushrn(t)},a.prototype.testn=function(t){n(\\\"number\\\"==typeof t&&t>=0);var e=t%26,r=(t-e)/26,i=1<<e;return!(this.length<=r)&&!!(this.words[r]&i)},a.prototype.imaskn=function(t){n(\\\"number\\\"==typeof t&&t>=0);var e=t%26,r=(t-e)/26;if(n(0===this.negative,\\\"imaskn works only with positive numbers\\\"),this.length<=r)return this;if(0!==e&&r++,this.length=Math.min(r,this.length),0!==e){var i=67108863^67108863>>>e<<e;this.words[this.length-1]&=i}return this.strip()},a.prototype.maskn=function(t){return this.clone().imaskn(t)},a.prototype.iaddn=function(t){return n(\\\"number\\\"==typeof t),n(t<67108864),t<0?this.isubn(-t):0!==this.negative?1===this.length&&(0|this.words[0])<t?(this.words[0]=t-(0|this.words[0]),this.negative=0,this):(this.negative=0,this.isubn(t),this.negative=1,this):this._iaddn(t)},a.prototype._iaddn=function(t){this.words[0]+=t;for(var e=0;e<this.length&&this.words[e]>=67108864;e++)this.words[e]-=67108864,e===this.length-1?this.words[e+1]=1:this.words[e+1]++;return this.length=Math.max(this.length,e+1),this},a.prototype.isubn=function(t){if(n(\\\"number\\\"==typeof t),n(t<67108864),t<0)return this.iaddn(-t);if(0!==this.negative)return this.negative=0,this.iaddn(t),this.negative=1,this;if(this.words[0]-=t,1===this.length&&this.words[0]<0)this.words[0]=-this.words[0],this.negative=1;else for(var e=0;e<this.length&&this.words[e]<0;e++)this.words[e]+=67108864,this.words[e+1]-=1;return this.strip()},a.prototype.addn=function(t){return this.clone().iaddn(t)},a.prototype.subn=function(t){return this.clone().isubn(t)},a.prototype.iabs=function(){return this.negative=0,this},a.prototype.abs=function(){return this.clone().iabs()},a.prototype._ishlnsubmul=function(t,e,r){var i,a,o=t.length+r;this._expand(o);var s=0;for(i=0;i<t.length;i++){a=(0|this.words[i+r])+s;var l=(0|t.words[i])*e;s=((a-=67108863&l)>>26)-(l/67108864|0),this.words[i+r]=67108863&a}for(;i<this.length-r;i++)s=(a=(0|this.words[i+r])+s)>>26,this.words[i+r]=67108863&a;if(0===s)return this.strip();for(n(-1===s),s=0,i=0;i<this.length;i++)s=(a=-(0|this.words[i])+s)>>26,this.words[i]=67108863&a;return this.negative=1,this.strip()},a.prototype._wordDiv=function(t,e){var r=(this.length,t.length),n=this.clone(),i=t,o=0|i.words[i.length-1];0!==(r=26-this._countBits(o))&&(i=i.ushln(r),n.iushln(r),o=0|i.words[i.length-1]);var s,l=n.length-i.length;if(\\\"mod\\\"!==e){(s=new a(null)).length=l+1,s.words=new Array(s.length);for(var c=0;c<s.length;c++)s.words[c]=0}var u=n.clone()._ishlnsubmul(i,1,l);0===u.negative&&(n=u,s&&(s.words[l]=1));for(var f=l-1;f>=0;f--){var h=67108864*(0|n.words[i.length+f])+(0|n.words[i.length+f-1]);for(h=Math.min(h/o|0,67108863),n._ishlnsubmul(i,h,f);0!==n.negative;)h--,n.negative=0,n._ishlnsubmul(i,1,f),n.isZero()||(n.negative^=1);s&&(s.words[f]=h)}return s&&s.strip(),n.strip(),\\\"div\\\"!==e&&0!==r&&n.iushrn(r),{div:s||null,mod:n}},a.prototype.divmod=function(t,e,r){return n(!t.isZero()),this.isZero()?{div:new a(0),mod:new a(0)}:0!==this.negative&&0===t.negative?(s=this.neg().divmod(t,e),\\\"mod\\\"!==e&&(i=s.div.neg()),\\\"div\\\"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.iadd(t)),{div:i,mod:o}):0===this.negative&&0!==t.negative?(s=this.divmod(t.neg(),e),\\\"mod\\\"!==e&&(i=s.div.neg()),{div:i,mod:s.mod}):0!=(this.negative&t.negative)?(s=this.neg().divmod(t.neg(),e),\\\"div\\\"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.isub(t)),{div:s.div,mod:o}):t.length>this.length||this.cmp(t)<0?{div:new a(0),mod:this}:1===t.length?\\\"div\\\"===e?{div:this.divn(t.words[0]),mod:null}:\\\"mod\\\"===e?{div:null,mod:new a(this.modn(t.words[0]))}:{div:this.divn(t.words[0]),mod:new a(this.modn(t.words[0]))}:this._wordDiv(t,e);var i,o,s},a.prototype.div=function(t){return this.divmod(t,\\\"div\\\",!1).div},a.prototype.mod=function(t){return this.divmod(t,\\\"mod\\\",!1).mod},a.prototype.umod=function(t){return this.divmod(t,\\\"mod\\\",!0).mod},a.prototype.divRound=function(t){var e=this.divmod(t);if(e.mod.isZero())return e.div;var r=0!==e.div.negative?e.mod.isub(t):e.mod,n=t.ushrn(1),i=t.andln(1),a=r.cmp(n);return a<0||1===i&&0===a?e.div:0!==e.div.negative?e.div.isubn(1):e.div.iaddn(1)},a.prototype.modn=function(t){n(t<=67108863);for(var e=(1<<26)%t,r=0,i=this.length-1;i>=0;i--)r=(e*r+(0|this.words[i]))%t;return r},a.prototype.idivn=function(t){n(t<=67108863);for(var e=0,r=this.length-1;r>=0;r--){var i=(0|this.words[r])+67108864*e;this.words[r]=i/t|0,e=i%t}return this.strip()},a.prototype.divn=function(t){return this.clone().idivn(t)},a.prototype.egcd=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i=new a(1),o=new a(0),s=new a(0),l=new a(1),c=0;e.isEven()&&r.isEven();)e.iushrn(1),r.iushrn(1),++c;for(var u=r.clone(),f=e.clone();!e.isZero();){for(var h=0,p=1;0==(e.words[0]&p)&&h<26;++h,p<<=1);if(h>0)for(e.iushrn(h);h-- >0;)(i.isOdd()||o.isOdd())&&(i.iadd(u),o.isub(f)),i.iushrn(1),o.iushrn(1);for(var d=0,m=1;0==(r.words[0]&m)&&d<26;++d,m<<=1);if(d>0)for(r.iushrn(d);d-- >0;)(s.isOdd()||l.isOdd())&&(s.iadd(u),l.isub(f)),s.iushrn(1),l.iushrn(1);e.cmp(r)>=0?(e.isub(r),i.isub(s),o.isub(l)):(r.isub(e),s.isub(i),l.isub(o))}return{a:s,b:l,gcd:r.iushln(c)}},a.prototype._invmp=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i,o=new a(1),s=new a(0),l=r.clone();e.cmpn(1)>0&&r.cmpn(1)>0;){for(var c=0,u=1;0==(e.words[0]&u)&&c<26;++c,u<<=1);if(c>0)for(e.iushrn(c);c-- >0;)o.isOdd()&&o.iadd(l),o.iushrn(1);for(var f=0,h=1;0==(r.words[0]&h)&&f<26;++f,h<<=1);if(f>0)for(r.iushrn(f);f-- >0;)s.isOdd()&&s.iadd(l),s.iushrn(1);e.cmp(r)>=0?(e.isub(r),o.isub(s)):(r.isub(e),s.isub(o))}return(i=0===e.cmpn(1)?o:s).cmpn(0)<0&&i.iadd(t),i},a.prototype.gcd=function(t){if(this.isZero())return t.abs();if(t.isZero())return this.abs();var e=this.clone(),r=t.clone();e.negative=0,r.negative=0;for(var n=0;e.isEven()&&r.isEven();n++)e.iushrn(1),r.iushrn(1);for(;;){for(;e.isEven();)e.iushrn(1);for(;r.isEven();)r.iushrn(1);var i=e.cmp(r);if(i<0){var a=e;e=r,r=a}else if(0===i||0===r.cmpn(1))break;e.isub(r)}return r.iushln(n)},a.prototype.invm=function(t){return this.egcd(t).a.umod(t)},a.prototype.isEven=function(){return 0==(1&this.words[0])},a.prototype.isOdd=function(){return 1==(1&this.words[0])},a.prototype.andln=function(t){return this.words[0]&t},a.prototype.bincn=function(t){n(\\\"number\\\"==typeof t);var e=t%26,r=(t-e)/26,i=1<<e;if(this.length<=r)return this._expand(r+1),this.words[r]|=i,this;for(var a=i,o=r;0!==a&&o<this.length;o++){var s=0|this.words[o];a=(s+=a)>>>26,s&=67108863,this.words[o]=s}return 0!==a&&(this.words[o]=a,this.length++),this},a.prototype.isZero=function(){return 1===this.length&&0===this.words[0]},a.prototype.cmpn=function(t){var e,r=t<0;if(0!==this.negative&&!r)return-1;if(0===this.negative&&r)return 1;if(this.strip(),this.length>1)e=1;else{r&&(t=-t),n(t<=67108863,\\\"Number is too big\\\");var i=0|this.words[0];e=i===t?0:i<t?-1:1}return 0!==this.negative?0|-e:e},a.prototype.cmp=function(t){if(0!==this.negative&&0===t.negative)return-1;if(0===this.negative&&0!==t.negative)return 1;var e=this.ucmp(t);return 0!==this.negative?0|-e:e},a.prototype.ucmp=function(t){if(this.length>t.length)return 1;if(this.length<t.length)return-1;for(var e=0,r=this.length-1;r>=0;r--){var n=0|this.words[r],i=0|t.words[r];if(n!==i){n<i?e=-1:n>i&&(e=1);break}}return e},a.prototype.gtn=function(t){return 1===this.cmpn(t)},a.prototype.gt=function(t){return 1===this.cmp(t)},a.prototype.gten=function(t){return this.cmpn(t)>=0},a.prototype.gte=function(t){return this.cmp(t)>=0},a.prototype.ltn=function(t){return-1===this.cmpn(t)},a.prototype.lt=function(t){return-1===this.cmp(t)},a.prototype.lten=function(t){return this.cmpn(t)<=0},a.prototype.lte=function(t){return this.cmp(t)<=0},a.prototype.eqn=function(t){return 0===this.cmpn(t)},a.prototype.eq=function(t){return 0===this.cmp(t)},a.red=function(t){return new w(t)},a.prototype.toRed=function(t){return n(!this.red,\\\"Already a number in reduction context\\\"),n(0===this.negative,\\\"red works only with positives\\\"),t.convertTo(this)._forceRed(t)},a.prototype.fromRed=function(){return n(this.red,\\\"fromRed works only with numbers in reduction context\\\"),this.red.convertFrom(this)},a.prototype._forceRed=function(t){return this.red=t,this},a.prototype.forceRed=function(t){return n(!this.red,\\\"Already a number in reduction context\\\"),this._forceRed(t)},a.prototype.redAdd=function(t){return n(this.red,\\\"redAdd works only with red numbers\\\"),this.red.add(this,t)},a.prototype.redIAdd=function(t){return n(this.red,\\\"redIAdd works only with red numbers\\\"),this.red.iadd(this,t)},a.prototype.redSub=function(t){return n(this.red,\\\"redSub works only with red numbers\\\"),this.red.sub(this,t)},a.prototype.redISub=function(t){return n(this.red,\\\"redISub works only with red numbers\\\"),this.red.isub(this,t)},a.prototype.redShl=function(t){return n(this.red,\\\"redShl works only with red numbers\\\"),this.red.shl(this,t)},a.prototype.redMul=function(t){return n(this.red,\\\"redMul works only with red numbers\\\"),this.red._verify2(this,t),this.red.mul(this,t)},a.prototype.redIMul=function(t){return n(this.red,\\\"redMul works only with red numbers\\\"),this.red._verify2(this,t),this.red.imul(this,t)},a.prototype.redSqr=function(){return n(this.red,\\\"redSqr works only with red numbers\\\"),this.red._verify1(this),this.red.sqr(this)},a.prototype.redISqr=function(){return n(this.red,\\\"redISqr works only with red numbers\\\"),this.red._verify1(this),this.red.isqr(this)},a.prototype.redSqrt=function(){return n(this.red,\\\"redSqrt works only with red numbers\\\"),this.red._verify1(this),this.red.sqrt(this)},a.prototype.redInvm=function(){return n(this.red,\\\"redInvm works only with red numbers\\\"),this.red._verify1(this),this.red.invm(this)},a.prototype.redNeg=function(){return n(this.red,\\\"redNeg works only with red numbers\\\"),this.red._verify1(this),this.red.neg(this)},a.prototype.redPow=function(t){return n(this.red&&!t.red,\\\"redPow(normalNum)\\\"),this.red._verify1(this),this.red.pow(this,t)};var g={k256:null,p224:null,p192:null,p25519:null};function v(t,e){this.name=t,this.p=new a(e,16),this.n=this.p.bitLength(),this.k=new a(1).iushln(this.n).isub(this.p),this.tmp=this._tmp()}function 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X=c(t,C,O,z,q,H),Z=q[E*X+C],J=h(t,C,X,z,q,H,Z);if(J<z&&x(S++,C,W,I,J,z,(4|N)+(j?16:0),Z,B),O<X&&x(S++,C,W,I,O,X,(2|N)+(j?16:0),F,Z),X+1===J){if(void 0!==(A=j?_(t,C,e,W,I,U,V,X,q,H[X]):b(t,C,e,N,W,I,U,V,X,q,H[X])))return A}else if(X<J){var K;if(j){if(K=m(t,C,W,I,U,V,Z),W<K){var Q=h(t,C,W,K,U,V,Z);if(C===t-2){if(W<Q&&void 0!==(A=l.sweepComplete(t,e,W,Q,U,V,X,J,q,H)))return A;if(Q<K&&void 0!==(A=l.sweepBipartite(t,e,Q,K,U,V,X,J,q,H)))return A}else W<Q&&x(S++,C+1,W,Q,X,J,16,-1/0,1/0),Q<K&&(x(S++,C+1,Q,K,X,J,0,-1/0,1/0),x(S++,C+1,X,J,Q,K,1,-1/0,1/0))}}else K=N?g(t,C,W,I,U,V,Z):m(t,C,W,I,U,V,Z),W<K&&(C===t-2?A=N?l.sweepBipartite(t,e,X,J,q,H,W,K,U,V):l.sweepBipartite(t,e,W,K,U,V,X,J,q,H):(x(S++,C+1,W,K,X,J,N,-1/0,1/0),x(S++,C+1,X,J,W,K,1^N,-1/0,1/0)))}}}}};var 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if(!c(N,S,E,u))for(;;){if(c(T,S,E,u)){c(T,M,A,u)?(o(N,w,T,u),++w,--T):(i(N,T,u),--T);break}if(--T<N)break}s(e,w-1,M,A,u),s(r,T+1,S,E,u),w-2-e<=32?n(e,w-2,u):t(e,w-2,u);r-(T+2)<=32?n(T+2,r,u):t(T+2,r,u);T-w<=32?n(w,T,u):t(w,T,u)}(0,e-1,t)};function n(t,e,r){for(var n=2*(t+1),i=t+1;i<=e;++i){for(var a=r[n++],o=r[n++],s=i,l=n-2;s-- >t;){var c=r[l-2],u=r[l-1];if(c<a)break;if(c===a&&u<o)break;r[l]=c,r[l+1]=u,l-=2}r[l]=a,r[l+1]=o}}function i(t,e,r){e*=2;var n=r[t*=2],i=r[t+1];r[t]=r[e],r[t+1]=r[e+1],r[e]=n,r[e+1]=i}function a(t,e,r){e*=2,r[t*=2]=r[e],r[t+1]=r[e+1]}function o(t,e,r,n){e*=2,r*=2;var i=n[t*=2],a=n[t+1];n[t]=n[e],n[t+1]=n[e+1],n[e]=n[r],n[e+1]=n[r+1],n[r]=i,n[r+1]=a}function s(t,e,r,n,i){e*=2,i[t*=2]=i[e],i[e]=r,i[t+1]=i[e+1],i[e+1]=n}function l(t,e,r){e*=2;var n=r[t*=2],i=r[e];return!(n<i)&&(n!==i||r[t+1]>r[e+1])}function c(t,e,r,n){var i=n[t*=2];return i<e||i===e&&n[t+1]<r}},{}],110:[function(t,e,r){\\\"use strict\\\";e.exports={init:function(t){var e=i.nextPow2(t);o.length<e&&(n.free(o),o=n.mallocInt32(e));s.length<e&&(n.free(s),s=n.mallocInt32(e));l.length<e&&(n.free(l),l=n.mallocInt32(e));c.length<e&&(n.free(c),c=n.mallocInt32(e));u.length<e&&(n.free(u),u=n.mallocInt32(e));f.length<e&&(n.free(f),f=n.mallocInt32(e));var r=8*e;h.length<r&&(n.free(h),h=n.mallocDouble(r))},sweepBipartite:function(t,e,r,n,i,u,f,m,g,v){for(var y=0,x=2*t,b=t-1,_=x-1,w=r;w<n;++w){var T=u[w],k=x*w;h[y++]=i[k+b],h[y++]=-(T+1),h[y++]=i[k+_],h[y++]=T}for(w=f;w<m;++w){T=v[w]+(1<<28);var M=x*w;h[y++]=g[M+b],h[y++]=-T,h[y++]=g[M+_],h[y++]=T}var A=y>>>1;a(h,A);var S=0,E=0;for(w=0;w<A;++w){var L=0|h[2*w+1];if(L>=1<<28)p(l,c,E--,L=L-(1<<28)|0);else if(L>=0)p(o,s,S--,L);else if(L<=-(1<<28)){L=-L-(1<<28)|0;for(var C=0;C<S;++C){if(void 0!==(P=e(o[C],L)))return P}d(l,c,E++,L)}else{L=-L-1|0;for(C=0;C<E;++C){var P;if(void 0!==(P=e(L,l[C])))return P}d(o,s,S++,L)}}},sweepComplete:function(t,e,r,n,i,m,g,v,y,x){for(var b=0,_=2*t,w=t-1,T=_-1,k=r;k<n;++k){var 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f=u.prototype;function h(){this.primalOffset=[0,0,0],this.primalMinor=[0,0,0],this.mirrorOffset=[0,0,0],this.mirrorMinor=[0,0,0]}f.update=function(t){function e(e,r,n){if(n in t){var i,a=t[n],o=this[n];(e?Array.isArray(a)&&Array.isArray(a[0]):Array.isArray(a))?this[n]=i=[r(a[0]),r(a[1]),r(a[2])]:this[n]=i=[r(a),r(a),r(a)];for(var s=0;s<3;++s)if(i[s]!==o[s])return!0}return!1}t=t||{};var r,a=e.bind(this,!1,Number),o=e.bind(this,!1,Boolean),l=e.bind(this,!1,String),c=e.bind(this,!0,(function(t){if(Array.isArray(t)){if(3===t.length)return[+t[0],+t[1],+t[2],1];if(4===t.length)return[+t[0],+t[1],+t[2],+t[3]]}return[0,0,0,1]})),u=!1,f=!1;if(\\\"bounds\\\"in t)for(var h=t.bounds,p=0;p<2;++p)for(var d=0;d<3;++d)h[p][d]!==this.bounds[p][d]&&(f=!0),this.bounds[p][d]=h[p][d];if(\\\"ticks\\\"in t){r=t.ticks,u=!0,this.autoTicks=!1;for(p=0;p<3;++p)this.tickSpacing[p]=0}else a(\\\"tickSpacing\\\")&&(this.autoTicks=!0,f=!0);if(this._firstInit&&(\\\"ticks\\\"in t||\\\"tickSpacing\\\"in t||(this.autoTicks=!0),f=!0,u=!0,this._firstInit=!1),f&&this.autoTicks&&(r=s.create(this.bounds,this.tickSpacing),u=!0),u){for(p=0;p<3;++p)r[p].sort((function(t,e){return t.x-e.x}));s.equal(r,this.ticks)?u=!1:this.ticks=r}o(\\\"tickEnable\\\"),l(\\\"tickFont\\\")&&(u=!0),a(\\\"tickSize\\\"),a(\\\"tickAngle\\\"),a(\\\"tickPad\\\"),c(\\\"tickColor\\\");var m=l(\\\"labels\\\");l(\\\"labelFont\\\")&&(m=!0),o(\\\"labelEnable\\\"),a(\\\"labelSize\\\"),a(\\\"labelPad\\\"),c(\\\"labelColor\\\"),o(\\\"lineEnable\\\"),o(\\\"lineMirror\\\"),a(\\\"lineWidth\\\"),c(\\\"lineColor\\\"),o(\\\"lineTickEnable\\\"),o(\\\"lineTickMirror\\\"),a(\\\"lineTickLength\\\"),a(\\\"lineTickWidth\\\"),c(\\\"lineTickColor\\\"),o(\\\"gridEnable\\\"),a(\\\"gridWidth\\\"),c(\\\"gridColor\\\"),o(\\\"zeroEnable\\\"),c(\\\"zeroLineColor\\\"),a(\\\"zeroLineWidth\\\"),o(\\\"backgroundEnable\\\"),c(\\\"backgroundColor\\\"),this._text?this._text&&(m||u)&&this._text.update(this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont):this._text=n(this.gl,this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont),this._lines&&u&&(this._lines.dispose(),this._lines=null),this._lines||(this._lines=i(this.gl,this.bounds,this.ticks))};var p=[new h,new h,new h];function d(t,e,r,n,i){for(var a=t.primalOffset,o=t.primalMinor,s=t.mirrorOffset,l=t.mirrorMinor,c=n[e],u=0;u<3;++u)if(e!==u){var f=a,h=s,p=o,d=l;c&1<<u&&(f=s,h=a,p=l,d=o),f[u]=r[0][u],h[u]=r[1][u],i[u]>0?(p[u]=-1,d[u]=0):(p[u]=0,d[u]=1)}}var m=[0,0,0],g={model:l,view:l,projection:l,_ortho:!1};f.isOpaque=function(){return!0},f.isTransparent=function(){return!1},f.drawTransparent=function(t){};var v=[0,0,0],y=[0,0,0],x=[0,0,0];f.draw=function(t){t=t||g;for(var e=this.gl,r=t.model||l,n=t.view||l,i=t.projection||l,a=this.bounds,s=t._ortho||!1,u=o(r,n,i,a,s),f=u.cubeEdges,h=u.axis,b=n[12],_=n[13],w=n[14],T=n[15],k=(s?2:1)*this.pixelRatio*(i[3]*b+i[7]*_+i[11]*w+i[15]*T)/e.drawingBufferHeight,M=0;M<3;++M)this.lastCubeProps.cubeEdges[M]=f[M],this.lastCubeProps.axis[M]=h[M];var A=p;for(M=0;M<3;++M)d(p[M],M,this.bounds,f,h);e=this.gl;var S,E=m;for(M=0;M<3;++M)this.backgroundEnable[M]?E[M]=h[M]:E[M]=0;this._background.draw(r,n,i,a,E,this.backgroundColor),this._lines.bind(r,n,i,this);for(M=0;M<3;++M){var L=[0,0,0];h[M]>0?L[M]=a[1][M]:L[M]=a[0][M];for(var C=0;C<2;++C){var P=(M+1+C)%3,I=(M+1+(1^C))%3;this.gridEnable[P]&&this._lines.drawGrid(P,I,this.bounds,L,this.gridColor[P],this.gridWidth[P]*this.pixelRatio)}for(C=0;C<2;++C){P=(M+1+C)%3,I=(M+1+(1^C))%3;this.zeroEnable[I]&&Math.min(a[0][I],a[1][I])<=0&&Math.max(a[0][I],a[1][I])>=0&&this._lines.drawZero(P,I,this.bounds,L,this.zeroLineColor[I],this.zeroLineWidth[I]*this.pixelRatio)}}for(M=0;M<3;++M){this.lineEnable[M]&&this._lines.drawAxisLine(M,this.bounds,A[M].primalOffset,this.lineColor[M],this.lineWidth[M]*this.pixelRatio),this.lineMirror[M]&&this._lines.drawAxisLine(M,this.bounds,A[M].mirrorOffset,this.lineColor[M],this.lineWidth[M]*this.pixelRatio);var O=c(v,A[M].primalMinor),z=c(y,A[M].mirrorMinor),D=this.lineTickLength;for(C=0;C<3;++C){var R=k/r[5*C];O[C]*=D[C]*R,z[C]*=D[C]*R}this.lineTickEnable[M]&&this._lines.drawAxisTicks(M,A[M].primalOffset,O,this.lineTickColor[M],this.lineTickWidth[M]*this.pixelRatio),this.lineTickMirror[M]&&this._lines.drawAxisTicks(M,A[M].mirrorOffset,z,this.lineTickColor[M],this.lineTickWidth[M]*this.pixelRatio)}this._lines.unbind(),this._text.bind(r,n,i,this.pixelRatio);var F,B;function N(t){(B=[0,0,0])[t]=1}function j(t,e,r){var n=(t+1)%3,i=(t+2)%3,a=e[n],o=e[i],s=r[n],l=r[i];a>0&&l>0||a>0&&l<0||a<0&&l>0||a<0&&l<0?N(n):(o>0&&s>0||o>0&&s<0||o<0&&s>0||o<0&&s<0)&&N(i)}for(M=0;M<3;++M){var U=A[M].primalMinor,V=A[M].mirrorMinor,q=c(x,A[M].primalOffset);for(C=0;C<3;++C)this.lineTickEnable[M]&&(q[C]+=k*U[C]*Math.max(this.lineTickLength[C],0)/r[5*C]);var H=[0,0,0];if(H[M]=1,this.tickEnable[M]){-3600===this.tickAngle[M]?(this.tickAngle[M]=0,this.tickAlign[M]=\\\"auto\\\"):this.tickAlign[M]=-1,F=1,\\\"auto\\\"===(S=[this.tickAlign[M],.5,F])[0]?S[0]=0:S[0]=parseInt(\\\"\\\"+S[0]),B=[0,0,0],j(M,U,V);for(C=0;C<3;++C)q[C]+=k*U[C]*this.tickPad[C]/r[5*C];this._text.drawTicks(M,this.tickSize[M],this.tickAngle[M],q,this.tickColor[M],H,B,S)}if(this.labelEnable[M]){F=0,B=[0,0,0],this.labels[M].length>4&&(N(M),F=1),\\\"auto\\\"===(S=[this.labelAlign[M],.5,F])[0]?S[0]=0:S[0]=parseInt(\\\"\\\"+S[0]);for(C=0;C<3;++C)q[C]+=k*U[C]*this.labelPad[C]/r[5*C];q[M]+=.5*(a[0][M]+a[1][M]),this._text.drawLabel(M,this.labelSize[M],this.labelAngle[M],q,this.labelColor[M],[0,0,0],B,S)}}this._text.unbind()},f.dispose=function(){this._text.dispose(),this._lines.dispose(),this._background.dispose(),this._lines=null,this._text=null,this._background=null,this.gl=null}},{\\\"./lib/background.js\\\":251,\\\"./lib/cube.js\\\":252,\\\"./lib/lines.js\\\":253,\\\"./lib/text.js\\\":255,\\\"./lib/ticks.js\\\":256}],251:[function(t,e,r){\\\"use strict\\\";e.exports=function(t){for(var e=[],r=[],s=0,l=0;l<3;++l)for(var c=(l+1)%3,u=(l+2)%3,f=[0,0,0],h=[0,0,0],p=-1;p<=1;p+=2){r.push(s,s+2,s+1,s+1,s+2,s+3),f[l]=p,h[l]=p;for(var d=-1;d<=1;d+=2){f[c]=d;for(var m=-1;m<=1;m+=2)f[u]=m,e.push(f[0],f[1],f[2],h[0],h[1],h[2]),s+=1}var g=c;c=u,u=g}var v=n(t,new Float32Array(e)),y=n(t,new Uint16Array(r),t.ELEMENT_ARRAY_BUFFER),x=i(t,[{buffer:v,type:t.FLOAT,size:3,offset:0,stride:24},{buffer:v,type:t.FLOAT,size:3,offset:12,stride:24}],y),b=a(t);return b.attributes.position.location=0,b.attributes.normal.location=1,new o(t,v,x,b)};var n=t(\\\"gl-buffer\\\"),i=t(\\\"gl-vao\\\"),a=t(\\\"./shaders\\\").bg;function o(t,e,r,n){this.gl=t,this.buffer=e,this.vao=r,this.shader=n}var s=o.prototype;s.draw=function(t,e,r,n,i,a){for(var o=!1,s=0;s<3;++s)o=o||i[s];if(o){var l=this.gl;l.enable(l.POLYGON_OFFSET_FILL),l.polygonOffset(1,2),this.shader.bind(),this.shader.uniforms={model:t,view:e,projection:r,bounds:n,enable:i,colors:a},this.vao.bind(),this.vao.draw(this.gl.TRIANGLES,36),this.vao.unbind(),l.disable(l.POLYGON_OFFSET_FILL)}},s.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()}},{\\\"./shaders\\\":254,\\\"gl-buffer\\\":259,\\\"gl-vao\\\":353}],252:[function(t,e,r){\\\"use strict\\\";e.exports=function(t,e,r,a,p){i(s,e,t),i(s,r,s);for(var y=0,x=0;x<2;++x){u[2]=a[x][2];for(var b=0;b<2;++b){u[1]=a[b][1];for(var _=0;_<2;++_)u[0]=a[_][0],h(l[y],u,s),y+=1}}var w=-1;for(x=0;x<8;++x){for(var T=l[x][3],k=0;k<3;++k)c[x][k]=l[x][k]/T;p&&(c[x][2]*=-1),T<0&&(w<0||c[x][2]<c[w][2])&&(w=x)}if(w<0){w=0;for(var M=0;M<3;++M){for(var A=(M+2)%3,S=(M+1)%3,E=-1,L=-1,C=0;C<2;++C){var P=(O=C<<M)+(C<<A)+(1-C<<S),I=O+(1-C<<A)+(C<<S);o(c[O],c[P],c[I],f)<0||(C?E=1:L=1)}if(E<0||L<0)L>E&&(w|=1<<M);else{for(C=0;C<2;++C){P=(O=C<<M)+(C<<A)+(1-C<<S),I=O+(1-C<<A)+(C<<S);var O,z=d([l[O],l[P],l[I],l[O+(1<<A)+(1<<S)]]);C?E=z:L=z}L>E&&(w|=1<<M)}}}var D=7^w,R=-1;for(x=0;x<8;++x)x!==w&&x!==D&&(R<0||c[R][1]>c[x][1])&&(R=x);var F=-1;for(x=0;x<3;++x){if((N=R^1<<x)!==w&&N!==D)F<0&&(F=N),(S=c[N])[0]<c[F][0]&&(F=N)}var B=-1;for(x=0;x<3;++x){var N;if((N=R^1<<x)!==w&&N!==D&&N!==F)B<0&&(B=N),(S=c[N])[0]>c[B][0]&&(B=N)}var j=m;j[0]=j[1]=j[2]=0,j[n.log2(F^R)]=R&F,j[n.log2(R^B)]=R&B;var U=7^B;U===w||U===D?(U=7^F,j[n.log2(B^U)]=U&B):j[n.log2(F^U)]=U&F;var V=g,q=w;for(M=0;M<3;++M)V[M]=q&1<<M?-1:1;return v};var n=t(\\\"bit-twiddle\\\"),i=t(\\\"gl-mat4/multiply\\\"),a=t(\\\"split-polygon\\\"),o=t(\\\"robust-orientation\\\"),s=new Array(16),l=new Array(8),c=new Array(8),u=new Array(3),f=[0,0,0];function h(t,e,r){for(var n=0;n<4;++n){t[n]=r[12+n];for(var i=0;i<3;++i)t[n]+=e[i]*r[4*i+n]}}!function(){for(var t=0;t<8;++t)l[t]=[1,1,1,1],c[t]=[1,1,1]}();var p=[[0,0,1,0,0],[0,0,-1,1,0],[0,-1,0,1,0],[0,1,0,1,0],[-1,0,0,1,0],[1,0,0,1,0]];function d(t){for(var e=0;e<p.length;++e)if((t=a.positive(t,p[e])).length<3)return 0;var r=t[0],n=r[0]/r[3],i=r[1]/r[3],o=0;for(e=1;e+1<t.length;++e){var s=t[e],l=t[e+1],c=s[0]/s[3]-n,u=s[1]/s[3]-i,f=l[0]/l[3]-n,h=l[1]/l[3]-i;o+=Math.abs(c*h-u*f)}return o}var m=[1,1,1],g=[0,0,0],v={cubeEdges:m,axis:g}},{\\\"bit-twiddle\\\":100,\\\"gl-mat4/multiply\\\":293,\\\"robust-orientation\\\":540,\\\"split-polygon\\\":559}],253:[function(t,e,r){\\\"use strict\\\";e.exports=function(t,e,r){var o=[],s=[0,0,0],l=[0,0,0],c=[0,0,0],u=[0,0,0];o.push(0,0,1,0,1,1,0,0,-1,0,0,-1,0,1,1,0,1,-1);for(var f=0;f<3;++f){for(var h=o.length/3|0,d=0;d<r[f].length;++d){var m=+r[f][d].x;o.push(m,0,1,m,1,1,m,0,-1,m,0,-1,m,1,1,m,1,-1)}var g=o.length/3|0;s[f]=h,l[f]=g-h;h=o.length/3|0;for(var v=0;v<r[f].length;++v){m=+r[f][v].x;o.push(m,0,1,m,1,1,m,0,-1,m,0,-1,m,1,1,m,1,-1)}g=o.length/3|0;c[f]=h,u[f]=g-h}var y=n(t,new Float32Array(o)),x=i(t,[{buffer:y,type:t.FLOAT,size:3,stride:0,offset:0}]),b=a(t);return b.attributes.position.location=0,new p(t,y,x,b,l,s,u,c)};var n=t(\\\"gl-buffer\\\"),i=t(\\\"gl-vao\\\"),a=t(\\\"./shaders\\\").line,o=[0,0,0],s=[0,0,0],l=[0,0,0],c=[0,0,0],u=[1,1];function f(t){return t[0]=t[1]=t[2]=0,t}function h(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}function p(t,e,r,n,i,a,o,s){this.gl=t,this.vertBuffer=e,this.vao=r,this.shader=n,this.tickCount=i,this.tickOffset=a,this.gridCount=o,this.gridOffset=s}var d=p.prototype;d.bind=function(t,e,r){this.shader.bind(),this.shader.uniforms.model=t,this.shader.uniforms.view=e,this.shader.uniforms.projection=r,u[0]=this.gl.drawingBufferWidth,u[1]=this.gl.drawingBufferHeight,this.shader.uniforms.screenShape=u,this.vao.bind()},d.unbind=function(){this.vao.unbind()},d.drawAxisLine=function(t,e,r,n,i){var a=f(s);this.shader.uniforms.majorAxis=s,a[t]=e[1][t]-e[0][t],this.shader.uniforms.minorAxis=a;var o,u=h(c,r);u[t]+=e[0][t],this.shader.uniforms.offset=u,this.shader.uniforms.lineWidth=i,this.shader.uniforms.color=n,(o=f(l))[(t+2)%3]=1,this.shader.uniforms.screenAxis=o,this.vao.draw(this.gl.TRIANGLES,6),(o=f(l))[(t+1)%3]=1,this.shader.uniforms.screenAxis=o,this.vao.draw(this.gl.TRIANGLES,6)},d.drawAxisTicks=function(t,e,r,n,i){if(this.tickCount[t]){var a=f(o);a[t]=1,this.shader.uniforms.majorAxis=a,this.shader.uniforms.offset=e,this.shader.uniforms.minorAxis=r,this.shader.uniforms.color=n,this.shader.uniforms.lineWidth=i;var s=f(l);s[t]=1,this.shader.uniforms.screenAxis=s,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t])}},d.drawGrid=function(t,e,r,n,i,a){if(this.gridCount[t]){var u=f(s);u[e]=r[1][e]-r[0][e],this.shader.uniforms.minorAxis=u;var p=h(c,n);p[e]+=r[0][e],this.shader.uniforms.offset=p;var d=f(o);d[t]=1,this.shader.uniforms.majorAxis=d;var m=f(l);m[t]=1,this.shader.uniforms.screenAxis=m,this.shader.uniforms.lineWidth=a,this.shader.uniforms.color=i,this.vao.draw(this.gl.TRIANGLES,this.gridCount[t],this.gridOffset[t])}},d.drawZero=function(t,e,r,n,i,a){var o=f(s);this.shader.uniforms.majorAxis=o,o[t]=r[1][t]-r[0][t],this.shader.uniforms.minorAxis=o;var u=h(c,n);u[t]+=r[0][t],this.shader.uniforms.offset=u;var p=f(l);p[e]=1,this.shader.uniforms.screenAxis=p,this.shader.uniforms.lineWidth=a,this.shader.uniforms.color=i,this.vao.draw(this.gl.TRIANGLES,6)},d.dispose=function(){this.vao.dispose(),this.vertBuffer.dispose(),this.shader.dispose()}},{\\\"./shaders\\\":254,\\\"gl-buffer\\\":259,\\\"gl-vao\\\":353}],254:[function(t,e,r){\\\"use strict\\\";var n=t(\\\"glslify\\\"),i=t(\\\"gl-shader\\\"),a=n([\\\"precision highp float;\\\\n#define GLSLIFY 1\\\\n\\\\nattribute vec3 position;\\\\n\\\\nuniform mat4 model, view, projection;\\\\nuniform vec3 offset, majorAxis, minorAxis, screenAxis;\\\\nuniform float lineWidth;\\\\nuniform vec2 screenShape;\\\\n\\\\nvec3 project(vec3 p) {\\\\n  vec4 pp = projection * view * model * vec4(p, 1.0);\\\\n  return pp.xyz / max(pp.w, 0.0001);\\\\n}\\\\n\\\\nvoid main() {\\\\n  vec3 major = position.x * majorAxis;\\\\n  vec3 minor = position.y * minorAxis;\\\\n\\\\n  vec3 vPosition = major + minor + offset;\\\\n  vec3 pPosition = project(vPosition);\\\\n  vec3 offset = project(vPosition + screenAxis * position.z);\\\\n\\\\n  vec2 screen = normalize((offset - pPosition).xy * screenShape) / screenShape;\\\\n\\\\n  gl_Position = vec4(pPosition + vec3(0.5 * screen * lineWidth, 0), 1.0);\\\\n}\\\\n\\\"]),o=n([\\\"precision highp float;\\\\n#define GLSLIFY 1\\\\n\\\\nuniform vec4 color;\\\\nvoid main() {\\\\n  gl_FragColor = color;\\\\n}\\\"]);r.line=function(t){return i(t,a,o,null,[{name:\\\"position\\\",type:\\\"vec3\\\"}])};var s=n([\\\"precision highp float;\\\\n#define GLSLIFY 1\\\\n\\\\nattribute vec3 position;\\\\n\\\\nuniform mat4 model, view, projection;\\\\nuniform vec3 offset, axis, alignDir, alignOpt;\\\\nuniform float scale, angle, pixelScale;\\\\nuniform vec2 resolution;\\\\n\\\\nvec3 project(vec3 p) {\\\\n  vec4 pp = projection * view * model * vec4(p, 1.0);\\\\n  return pp.xyz / max(pp.w, 0.0001);\\\\n}\\\\n\\\\nfloat computeViewAngle(vec3 a, vec3 b) {\\\\n  vec3 A = project(a);\\\\n  vec3 B = project(b);\\\\n\\\\n  return atan(\\\\n    (B.y - A.y) * resolution.y,\\\\n    (B.x - A.x) * resolution.x\\\\n  );\\\\n}\\\\n\\\\nconst float PI = 3.141592;\\\\nconst float TWO_PI = 2.0 * PI;\\\\nconst float HALF_PI = 0.5 * PI;\\\\nconst float ONE_AND_HALF_PI = 1.5 * PI;\\\\n\\\\nint option = int(floor(alignOpt.x + 0.001));\\\\nfloat hv_ratio =       alignOpt.y;\\\\nbool enableAlign =    (alignOpt.z != 0.0);\\\\n\\\\nfloat mod_angle(float a) {\\\\n  return mod(a, PI);\\\\n}\\\\n\\\\nfloat positive_angle(float a) {\\\\n  return mod_angle((a < 0.0) ?\\\\n    a + TWO_PI :\\\\n    a\\\\n  );\\\\n}\\\\n\\\\nfloat look_upwards(float a) {\\\\n  float b = positive_angle(a);\\\\n  return ((b > HALF_PI) && (b <= ONE_AND_HALF_PI)) ?\\\\n    b - PI :\\\\n    b;\\\\n}\\\\n\\\\nfloat look_horizontal_or_vertical(float a, float ratio) {\\\\n  // ratio controls the ratio between being horizontal to (vertical + horizontal)\\\\n  // if ratio is set to 0.5 then it is 50%, 50%.\\\\n  // when using a higher ratio e.g. 0.75 the result would\\\\n  // likely be more horizontal than vertical.\\\\n\\\\n  float b = positive_angle(a);\\\\n\\\\n  return\\\\n    (b < (      ratio) * HALF_PI) ? 0.0 :\\\\n    (b < (2.0 - ratio) * HALF_PI) ? -HALF_PI :\\\\n    (b < (2.0 + ratio) * HALF_PI) ? 0.0 :\\\\n    (b < (4.0 - ratio) * HALF_PI) ? HALF_PI :\\\\n                                    0.0;\\\\n}\\\\n\\\\nfloat roundTo(float a, float b) {\\\\n  return float(b * floor((a + 0.5 * b) / b));\\\\n}\\\\n\\\\nfloat look_round_n_directions(float a, int n) {\\\\n  float b = positive_angle(a);\\\\n  float div = TWO_PI / float(n);\\\\n  float c = roundTo(b, div);\\\\n  return look_upwards(c);\\\\n}\\\\n\\\\nfloat applyAlignOption(float rawAngle, float delta) {\\\\n  return\\\\n    (option >  2) ? look_round_n_directions(rawAngle + delta, option) :       // option 3-n: round to n directions\\\\n    (option == 2) ? look_horizontal_or_vertical(rawAngle + delta, hv_ratio) : // horizontal or vertical\\\\n    (option == 1) ? rawAngle + delta :       // use free angle, and flip to align with one direction of the axis\\\\n    (option == 0) ? look_upwards(rawAngle) : // use free angle, and stay upwards\\\\n    (option ==-1) ? 0.0 :                    // useful for backward compatibility, all texts remains horizontal\\\\n                    rawAngle;                // otherwise return back raw input angle\\\\n}\\\\n\\\\nbool isAxisTitle = (axis.x == 0.0) &&\\\\n                   (axis.y == 0.0) &&\\\\n                   (axis.z == 0.0);\\\\n\\\\nvoid main() {\\\\n  //Compute world offset\\\\n  float axisDistance = position.z;\\\\n  vec3 dataPosition = axisDistance * axis + offset;\\\\n\\\\n  float beta = angle; // i.e. user defined attributes for each tick\\\\n\\\\n  float axisAngle;\\\\n  float clipAngle;\\\\n  float flip;\\\\n\\\\n  if (enableAlign) {\\\\n    axisAngle = (isAxisTitle) ? HALF_PI :\\\\n                      computeViewAngle(dataPosition, dataPosition + axis);\\\\n    clipAngle = computeViewAngle(dataPosition, dataPosition + alignDir);\\\\n\\\\n    axisAngle += (sin(axisAngle) < 0.0) ? PI : 0.0;\\\\n    clipAngle += (sin(clipAngle) < 0.0) ? PI : 0.0;\\\\n\\\\n    flip = (dot(vec2(cos(axisAngle), sin(axisAngle)),\\\\n                vec2(sin(clipAngle),-cos(clipAngle))) > 0.0) ? 1.0 : 0.0;\\\\n\\\\n    beta += applyAlignOption(clipAngle, flip * PI);\\\\n  }\\\\n\\\\n  //Compute plane offset\\\\n  vec2 planeCoord = position.xy * pixelScale;\\\\n\\\\n  mat2 planeXform = scale * mat2(\\\\n     cos(beta), sin(beta),\\\\n    -sin(beta), cos(beta)\\\\n  );\\\\n\\\\n  vec2 viewOffset = 2.0 * planeXform * planeCoord / resolution;\\\\n\\\\n  //Compute clip position\\\\n  vec3 clipPosition = project(dataPosition);\\\\n\\\\n  //Apply text offset in clip coordinates\\\\n  clipPosition += vec3(viewOffset, 0.0);\\\\n\\\\n  //Done\\\\n  gl_Position = vec4(clipPosition, 1.0);\\\\n}\\\"]),l=n([\\\"precision highp float;\\\\n#define GLSLIFY 1\\\\n\\\\nuniform vec4 color;\\\\nvoid main() {\\\\n  gl_FragColor = color;\\\\n}\\\"]);r.text=function(t){return i(t,s,l,null,[{name:\\\"position\\\",type:\\\"vec3\\\"}])};var c=n([\\\"precision highp float;\\\\n#define GLSLIFY 1\\\\n\\\\nattribute vec3 position;\\\\nattribute vec3 normal;\\\\n\\\\nuniform mat4 model, view, projection;\\\\nuniform vec3 enable;\\\\nuniform vec3 bounds[2];\\\\n\\\\nvarying vec3 colorChannel;\\\\n\\\\nvoid main() {\\\\n\\\\n  vec3 signAxis = sign(bounds[1] - bounds[0]);\\\\n\\\\n  vec3 realNormal = signAxis * normal;\\\\n\\\\n  if(dot(realNormal, enable) > 0.0) {\\\\n    vec3 minRange = min(bounds[0], bounds[1]);\\\\n    vec3 maxRange = max(bounds[0], bounds[1]);\\\\n    vec3 nPosition = mix(minRange, maxRange, 0.5 * (position + 1.0));\\\\n    gl_Position = projection * view * model * vec4(nPosition, 1.0);\\\\n  } else {\\\\n    gl_Position = vec4(0,0,0,0);\\\\n  }\\\\n\\\\n  colorChannel = abs(realNormal);\\\\n}\\\"]),u=n([\\\"precision highp float;\\\\n#define GLSLIFY 1\\\\n\\\\nuniform vec4 colors[3];\\\\n\\\\nvarying vec3 colorChannel;\\\\n\\\\nvoid main() {\\\\n  gl_FragColor = colorChannel.x * colors[0] +\\\\n                 colorChannel.y * colors[1] +\\\\n                 colorChannel.z * colors[2];\\\\n}\\\"]);r.bg=function(t){return i(t,c,u,null,[{name:\\\"position\\\",type:\\\"vec3\\\"},{name:\\\"normal\\\",type:\\\"vec3\\\"}])}},{\\\"gl-shader\\\":331,glslify:257}],255:[function(t,e,r){(function(r){(function(){\\\"use strict\\\";e.exports=function(t,e,r,a,s,l){var u=n(t),f=i(t,[{buffer:u,size:3}]),h=o(t);h.attributes.position.location=0;var p=new c(t,h,u,f);return p.update(e,r,a,s,l),p};var n=t(\\\"gl-buffer\\\"),i=t(\\\"gl-vao\\\"),a=t(\\\"vectorize-text\\\"),o=t(\\\"./shaders\\\").text,s=window||r.global||{},l=s.__TEXT_CACHE||{};s.__TEXT_CACHE={};function c(t,e,r,n){this.gl=t,this.shader=e,this.buffer=r,this.vao=n,this.tickOffset=this.tickCount=this.labelOffset=this.labelCount=null}var u=c.prototype,f=[0,0];u.bind=function(t,e,r,n){this.vao.bind(),this.shader.bind();var i=this.shader.uniforms;i.model=t,i.view=e,i.projection=r,i.pixelScale=n,f[0]=this.gl.drawingBufferWidth,f[1]=this.gl.drawingBufferHeight,this.shader.uniforms.resolution=f},u.unbind=function(){this.vao.unbind()},u.update=function(t,e,r,n,i){var o=[];function s(t,e,r,n,i,s){var c=l[r];c||(c=l[r]={});var u=c[e];u||(u=c[e]=function(t,e){try{return a(t,e)}catch(e){return console.warn('error vectorizing text:\\\"'+t+'\\\" error:',e),{cells:[],positions:[]}}}(e,{triangles:!0,font:r,textAlign:\\\"center\\\",textBaseline:\\\"middle\\\",lineSpacing:i,styletags:s}));for(var f=(n||12)/12,h=u.positions,p=u.cells,d=0,m=p.length;d<m;++d)for(var g=p[d],v=2;v>=0;--v){var y=h[g[v]];o.push(f*y[0],-f*y[1],t)}}for(var c=[0,0,0],u=[0,0,0],f=[0,0,0],h=[0,0,0],p={breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},d=0;d<3;++d){f[d]=o.length/3|0,s(.5*(t[0][d]+t[1][d]),e[d],r[d],12,1.25,p),h[d]=(o.length/3|0)-f[d],c[d]=o.length/3|0;for(var m=0;m<n[d].length;++m)n[d][m].text&&s(n[d][m].x,n[d][m].text,n[d][m].font||i,n[d][m].fontSize||12,1.25,p);u[d]=(o.length/3|0)-c[d]}this.buffer.update(o),this.tickOffset=c,this.tickCount=u,this.labelOffset=f,this.labelCount=h},u.drawTicks=function(t,e,r,n,i,a,o,s){this.tickCount[t]&&(this.shader.uniforms.axis=a,this.shader.uniforms.color=i,this.shader.uniforms.angle=r,this.shader.uniforms.scale=e,this.shader.uniforms.offset=n,this.shader.uniforms.alignDir=o,this.shader.uniforms.alignOpt=s,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t]))},u.drawLabel=function(t,e,r,n,i,a,o,s){this.labelCount[t]&&(this.shader.uniforms.axis=a,this.shader.uniforms.color=i,this.shader.uniforms.angle=r,this.shader.uniforms.scale=e,this.shader.uniforms.offset=n,this.shader.uniforms.alignDir=o,this.shader.uniforms.alignOpt=s,this.vao.draw(this.gl.TRIANGLES,this.labelCount[t],this.labelOffset[t]))},u.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()}}).call(this)}).call(this,t(\\\"_process\\\"))},{\\\"./shaders\\\":254,_process:520,\\\"gl-buffer\\\":259,\\\"gl-vao\\\":353,\\\"vectorize-text\\\":615}],256:[function(t,e,r){\\\"use 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n=t(\\\"extract-frustum-planes\\\"),i=t(\\\"split-polygon\\\"),a=t(\\\"./lib/cube.js\\\"),o=t(\\\"gl-mat4/multiply\\\"),s=t(\\\"gl-mat4/transpose\\\"),l=t(\\\"gl-vec4/transformMat4\\\"),c=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]),u=new Float32Array(16);function f(t,e,r){this.lo=t,this.hi=e,this.pixelsPerDataUnit=r}var h=[0,0,0,1],p=[0,0,0,1];function d(t,e,r,n,i){for(var a=0;a<3;++a){for(var o=h,s=p,c=0;c<3;++c)s[c]=o[c]=r[c];s[3]=o[3]=1,s[a]+=1,l(s,s,e),s[3]<0&&(t[a]=1/0),o[a]-=1,l(o,o,e),o[3]<0&&(t[a]=1/0);var u=(o[0]/o[3]-s[0]/s[3])*n,f=(o[1]/o[3]-s[1]/s[3])*i;t[a]=.25*Math.sqrt(u*u+f*f)}return t}var m=[new f(1/0,-1/0,1/0),new f(1/0,-1/0,1/0),new f(1/0,-1/0,1/0)],g=[0,0,0]},{\\\"./lib/cube.js\\\":252,\\\"extract-frustum-planes\\\":240,\\\"gl-mat4/multiply\\\":293,\\\"gl-mat4/transpose\\\":304,\\\"gl-vec4/transformMat4\\\":424,\\\"split-polygon\\\":559}],259:[function(t,e,r){\\\"use strict\\\";var n=t(\\\"typedarray-pool\\\"),i=t(\\\"ndarray-ops\\\"),a=t(\\\"ndarray\\\"),o=[\\\"uint8\\\",\\\"uint8_clamped\\\",\\\"uint16\\\",\\\"uint32\\\",\\\"int8\\\",\\\"int16\\\",\\\"int32\\\",\\\"float32\\\"];function s(t,e,r,n,i){this.gl=t,this.type=e,this.handle=r,this.length=n,this.usage=i}var l=s.prototype;function c(t,e,r,n,i,a){var o=i.length*i.BYTES_PER_ELEMENT;if(a<0)return t.bufferData(e,i,n),o;if(o+a>r)throw new Error(\\\"gl-buffer: If resizing buffer, must not specify offset\\\");return t.bufferSubData(e,a,i),r}function u(t,e){for(var r=n.malloc(t.length,e),i=t.length,a=0;a<i;++a)r[a]=t[a];return r}l.bind=function(){this.gl.bindBuffer(this.type,this.handle)},l.unbind=function(){this.gl.bindBuffer(this.type,null)},l.dispose=function(){this.gl.deleteBuffer(this.handle)},l.update=function(t,e){if(\\\"number\\\"!=typeof e&&(e=-1),this.bind(),\\\"object\\\"==typeof t&&void 0!==t.shape){var r=t.dtype;if(o.indexOf(r)<0&&(r=\\\"float32\\\"),this.type===this.gl.ELEMENT_ARRAY_BUFFER)r=gl.getExtension(\\\"OES_element_index_uint\\\")&&\\\"uint16\\\"!==r?\\\"uint32\\\":\\\"uint16\\\";if(r===t.dtype&&function(t,e){for(var r=1,n=e.length-1;n>=0;--n){if(e[n]!==r)return!1;r*=t[n]}return!0}(t.shape,t.stride))0===t.offset&&t.data.length===t.shape[0]?this.length=c(this.gl,this.type,this.length,this.usage,t.data,e):this.length=c(this.gl,this.type,this.length,this.usage,t.data.subarray(t.offset,t.shape[0]),e);else{var s=n.malloc(t.size,r),l=a(s,t.shape);i.assign(l,t),this.length=c(this.gl,this.type,this.length,this.usage,e<0?s:s.subarray(0,t.size),e),n.free(s)}}else if(Array.isArray(t)){var f;f=this.type===this.gl.ELEMENT_ARRAY_BUFFER?u(t,\\\"uint16\\\"):u(t,\\\"float32\\\"),this.length=c(this.gl,this.type,this.length,this.usage,e<0?f:f.subarray(0,t.length),e),n.free(f)}else if(\\\"object\\\"==typeof t&&\\\"number\\\"==typeof 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r=t.positions,i=t.vectors,a={positions:[],vertexIntensity:[],vertexIntensityBounds:t.vertexIntensityBounds,vectors:[],cells:[],coneOffset:t.coneOffset,colormap:t.colormap};if(0===t.positions.length)return e&&(e[0]=[0,0,0],e[1]=[0,0,0]),a;for(var o=0,s=1/0,l=-1/0,c=1/0,u=-1/0,f=1/0,h=-1/0,p=null,d=null,m=[],g=1/0,v=!1,y=0;y<r.length;y++){var x=r[y];s=Math.min(x[0],s),l=Math.max(x[0],l),c=Math.min(x[1],c),u=Math.max(x[1],u),f=Math.min(x[2],f),h=Math.max(x[2],h);var b=i[y];if(n.length(b)>o&&(o=n.length(b)),y){var _=2*n.distance(p,x)/(n.length(d)+n.length(b));_?(g=Math.min(g,_),v=!1):v=!0}v||(p=x,d=b),m.push(b)}var w=[s,c,f],T=[l,u,h];e&&(e[0]=w,e[1]=T),0===o&&(o=1);var k=1/o;isFinite(g)||(g=1),a.vectorScale=g;var M=t.coneSize||.5;t.absoluteConeSize&&(M=t.absoluteConeSize*k),a.coneScale=M;y=0;for(var A=0;y<r.length;y++)for(var S=(x=r[y])[0],E=x[1],L=x[2],C=m[y],P=n.length(C)*k,I=0;I<8;I++){a.positions.push([S,E,L,A++]),a.positions.push([S,E,L,A++]),a.positions.push([S,E,L,A++]),a.positions.push([S,E,L,A++]),a.positions.push([S,E,L,A++]),a.positions.push([S,E,L,A++]),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vertexIntensity.push(P,P,P),a.vertexIntensity.push(P,P,P);var O=a.positions.length;a.cells.push([O-6,O-5,O-4],[O-3,O-2,O-1])}return a};var i=t(\\\"./lib/shaders\\\");e.exports.createMesh=t(\\\"./create_mesh\\\"),e.exports.createConeMesh=function(t,r){return e.exports.createMesh(t,r,{shaders:i,traceType:\\\"cone\\\"})}},{\\\"./create_mesh\\\":261,\\\"./lib/shaders\\\":262,\\\"gl-vec3\\\":372}],261:[function(t,e,r){\\\"use strict\\\";var n=t(\\\"gl-shader\\\"),i=t(\\\"gl-buffer\\\"),a=t(\\\"gl-vao\\\"),o=t(\\\"gl-texture2d\\\"),s=t(\\\"gl-mat4/multiply\\\"),l=t(\\\"gl-mat4/invert\\\"),c=t(\\\"ndarray\\\"),u=t(\\\"colormap\\\"),f=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function h(t,e,r,n,i,a,o,s,l,c,u){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.pickShader=n,this.trianglePositions=i,this.triangleVectors=a,this.triangleColors=s,this.triangleUVs=l,this.triangleIds=o,this.triangleVAO=c,this.triangleCount=0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.traceType=u,this.tubeScale=1,this.coneScale=2,this.vectorScale=1,this.coneOffset=.25,this._model=f,this._view=f,this._projection=f,this._resolution=[1,1]}var p=h.prototype;function d(t,e){var r=n(t,e.meshShader.vertex,e.meshShader.fragment,null,e.meshShader.attributes);return r.attributes.position.location=0,r.attributes.color.location=2,r.attributes.uv.location=3,r.attributes.vector.location=4,r}function m(t,e){var r=n(t,e.pickShader.vertex,e.pickShader.fragment,null,e.pickShader.attributes);return r.attributes.position.location=0,r.attributes.id.location=1,r.attributes.vector.location=4,r}p.isOpaque=function(){return this.opacity>=1},p.isTransparent=function(){return this.opacity<1},p.pickSlots=1,p.setPickBase=function(t){this.pickId=t},p.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,\\\"lightPosition\\\"in t&&(this.lightPosition=t.lightPosition),\\\"opacity\\\"in t&&(this.opacity=t.opacity),\\\"ambient\\\"in t&&(this.ambientLight=t.ambient),\\\"diffuse\\\"in t&&(this.diffuseLight=t.diffuse),\\\"specular\\\"in t&&(this.specularLight=t.specular),\\\"roughness\\\"in t&&(this.roughness=t.roughness),\\\"fresnel\\\"in t&&(this.fresnel=t.fresnel),void 0!==t.tubeScale&&(this.tubeScale=t.tubeScale),void 0!==t.vectorScale&&(this.vectorScale=t.vectorScale),void 0!==t.coneScale&&(this.coneScale=t.coneScale),void 0!==t.coneOffset&&(this.coneOffset=t.coneOffset),t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(function(t){for(var e=u({colormap:t,nshades:256,format:\\\"rgba\\\"}),r=new Uint8Array(1024),n=0;n<256;++n){for(var i=e[n],a=0;a<3;++a)r[4*n+a]=i[a];r[4*n+3]=255*i[3]}return c(r,[256,256,4],[4,0,1])}(t.colormap)),this.texture.generateMipmap());var r=t.cells,n=t.positions,i=t.vectors;if(n&&r&&i){var a=[],o=[],s=[],l=[],f=[];this.cells=r,this.positions=n,this.vectors=i;var h=t.meshColor||[1,1,1,1],p=t.vertexIntensity,d=1/0,m=-1/0;if(p)if(t.vertexIntensityBounds)d=+t.vertexIntensityBounds[0],m=+t.vertexIntensityBounds[1];else for(var g=0;g<p.length;++g){var v=p[g];d=Math.min(d,v),m=Math.max(m,v)}else for(g=0;g<n.length;++g){v=n[g][2];d=Math.min(d,v),m=Math.max(m,v)}this.intensity=p||function(t){for(var e=t.length,r=new Array(e),n=0;n<e;++n)r[n]=t[n][2];return r}(n),this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(g=0;g<n.length;++g)for(var y=n[g],x=0;x<3;++x)!isNaN(y[x])&&isFinite(y[x])&&(this.bounds[0][x]=Math.min(this.bounds[0][x],y[x]),this.bounds[1][x]=Math.max(this.bounds[1][x],y[x]));var b=0;t:for(g=0;g<r.length;++g){var _=r[g];switch(_.length){case 3:for(x=0;x<3;++x){y=n[T=_[x]];for(var w=0;w<3;++w)if(isNaN(y[w])||!isFinite(y[w]))continue t}for(x=0;x<3;++x){var T;y=n[T=_[2-x]];a.push(y[0],y[1],y[2],y[3]);var k=i[T];o.push(k[0],k[1],k[2],k[3]||0);var M,A=h;3===A.length?s.push(A[0],A[1],A[2],1):s.push(A[0],A[1],A[2],A[3]),M=p?[(p[T]-d)/(m-d),0]:[(y[2]-d)/(m-d),0],l.push(M[0],M[1]),f.push(g)}b+=1}}this.triangleCount=b,this.trianglePositions.update(a),this.triangleVectors.update(o),this.triangleColors.update(s),this.triangleUVs.update(l),this.triangleIds.update(new Uint32Array(f))}},p.drawTransparent=p.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||f,n=t.view||f,i=t.projection||f,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);var c={model:r,view:n,projection:i,inverseModel:f.slice(),clipBounds:a,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],opacity:this.opacity,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,texture:0};c.inverseModel=l(c.inverseModel,c.model),e.disable(e.CULL_FACE),this.texture.bind(0);var u=new Array(16);s(u,c.view,c.model),s(u,c.projection,u),l(u,u);for(o=0;o<3;++o)c.eyePosition[o]=u[12+o]/u[15];var h=u[15];for(o=0;o<3;++o)h+=this.lightPosition[o]*u[4*o+3];for(o=0;o<3;++o){for(var p=u[12+o],d=0;d<3;++d)p+=u[4*d+o]*this.lightPosition[d];c.lightPosition[o]=p/h}if(this.triangleCount>0){var m=this.triShader;m.bind(),m.uniforms=c,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()}},p.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||f,n=t.view||f,i=t.projection||f,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(i),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s={model:r,view:n,projection:i,clipBounds:a,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,pickId:this.pickId/255},l=this.pickShader;l.bind(),l.uniforms=s,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind())},p.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions[r[1]].slice(0,3),i={position:n,dataCoordinate:n,index:Math.floor(r[1]/48)};return\\\"cone\\\"===this.traceType?i.index=Math.floor(r[1]/48):\\\"streamtube\\\"===this.traceType&&(i.intensity=this.intensity[r[1]],i.velocity=this.vectors[r[1]].slice(0,3),i.divergence=this.vectors[r[1]][3],i.index=e),i},p.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.pickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleVectors.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleIds.dispose()},e.exports=function(t,e,r){var n=r.shaders;1===arguments.length&&(t=(e=t).gl);var s=d(t,n),l=m(t,n),u=o(t,c(new Uint8Array([255,255,255,255]),[1,1,4]));u.generateMipmap(),u.minFilter=t.LINEAR_MIPMAP_LINEAR,u.magFilter=t.LINEAR;var f=i(t),p=i(t),g=i(t),v=i(t),y=i(t),x=a(t,[{buffer:f,type:t.FLOAT,size:4},{buffer:y,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:g,type:t.FLOAT,size:4},{buffer:v,type:t.FLOAT,size:2},{buffer:p,type:t.FLOAT,size:4}]),b=new h(t,u,s,l,f,p,y,g,v,x,r.traceType||\\\"cone\\\");return b.update(e),b}},{colormap:133,\\\"gl-buffer\\\":259,\\\"gl-mat4/invert\\\":291,\\\"gl-mat4/multiply\\\":293,\\\"gl-shader\\\":331,\\\"gl-texture2d\\\":348,\\\"gl-vao\\\":353,ndarray:475}],262:[function(t,e,r){var n=t(\\\"glslify\\\"),i=n([\\\"precision highp float;\\\\n\\\\nprecision highp float;\\\\n#define GLSLIFY 1\\\\n\\\\nvec3 getOrthogonalVector(vec3 v) {\\\\n  // Return up-vector for only-z vector.\\\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\\\n  // Assign z = 0, x = -b, y = a:\\\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\\\n    return normalize(vec3(-v.y, v.x, 0.0));\\\\n  } else {\\\\n    return normalize(vec3(0.0, v.z, -v.y));\\\\n  }\\\\n}\\\\n\\\\n// Calculate the cone vertex and normal at the given index.\\\\n//\\\\n// The returned vertex is for a cone with its top at origin and height of 1.0,\\\\n// pointing in the direction of the vector attribute.\\\\n//\\\\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\\\\n// These vertices are used to make up the triangles of the cone by the following:\\\\n//   segment + 0 top vertex\\\\n//   segment + 1 perimeter vertex a+1\\\\n//   segment + 2 perimeter vertex a\\\\n//   segment + 3 center base vertex\\\\n//   segment + 4 perimeter vertex a\\\\n//   segment + 5 perimeter vertex a+1\\\\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\\\\n// To go from index to segment, floor(index / 6)\\\\n// To go from segment to angle, 2*pi * (segment/segmentCount)\\\\n// To go from index to segment index, index - (segment*6)\\\\n//\\\\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\\\\n\\\\n  const float segmentCount = 8.0;\\\\n\\\\n  float index = rawIndex - floor(rawIndex /\\\\n    (segmentCount * 6.0)) *\\\\n    (segmentCount * 6.0);\\\\n\\\\n  float segment = floor(0.001 + index/6.0);\\\\n  float segmentIndex = index - (segment*6.0);\\\\n\\\\n  normal = -normalize(d);\\\\n\\\\n  if (segmentIndex > 2.99 && segmentIndex < 3.01) {\\\\n    return mix(vec3(0.0), -d, coneOffset);\\\\n  }\\\\n\\\\n  float nextAngle = (\\\\n    (segmentIndex > 0.99 &&  segmentIndex < 1.01) ||\\\\n    (segmentIndex > 4.99 &&  segmentIndex < 5.01)\\\\n  ) ? 1.0 : 0.0;\\\\n  float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\\\\n\\\\n  vec3 v1 = mix(d, vec3(0.0), coneOffset);\\\\n  vec3 v2 = v1 - d;\\\\n\\\\n  vec3 u = getOrthogonalVector(d);\\\\n  vec3 v = normalize(cross(u, d));\\\\n\\\\n  vec3 x = u * cos(angle) * length(d)*0.25;\\\\n  vec3 y = v * sin(angle) * length(d)*0.25;\\\\n  vec3 v3 = v2 + x + y;\\\\n  if (segmentIndex < 3.0) {\\\\n    vec3 tx = u * sin(angle);\\\\n    vec3 ty = v * -cos(angle);\\\\n    vec3 tangent = tx + ty;\\\\n    normal = normalize(cross(v3 - v1, tangent));\\\\n  }\\\\n\\\\n  if (segmentIndex == 0.0) {\\\\n    return mix(d, vec3(0.0), coneOffset);\\\\n  }\\\\n  return v3;\\\\n}\\\\n\\\\nattribute vec3 vector;\\\\nattribute vec4 color, position;\\\\nattribute vec2 uv;\\\\n\\\\nuniform float vectorScale, coneScale, coneOffset;\\\\nuniform mat4 model, view, projection, inverseModel;\\\\nuniform vec3 eyePosition, lightPosition;\\\\n\\\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\\\nvarying vec4 f_color;\\\\nvarying vec2 f_uv;\\\\n\\\\nvoid main() {\\\\n  // Scale the vector magnitude to stay constant with\\\\n  // model & view changes.\\\\n  vec3 normal;\\\\n  vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector), position.w, coneOffset, normal);\\\\n  vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\\\n\\\\n  //Lighting geometry parameters\\\\n  vec4 cameraCoordinate = view * conePosition;\\\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\\\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\\\\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\\\\n  f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\\\n\\\\n  // vec4 m_position  = model * vec4(conePosition, 1.0);\\\\n  vec4 t_position  = view * conePosition;\\\\n  gl_Position      = projection * t_position;\\\\n\\\\n  f_color          = color;\\\\n  f_data           = conePosition.xyz;\\\\n  f_position       = position.xyz;\\\\n  f_uv             = uv;\\\\n}\\\\n\\\"]),a=n([\\\"#extension GL_OES_standard_derivatives : enable\\\\n\\\\nprecision highp float;\\\\n#define GLSLIFY 1\\\\n\\\\nfloat beckmannDistribution(float x, float roughness) {\\\\n  float NdotH = max(x, 0.0001);\\\\n  float cos2Alpha = NdotH * NdotH;\\\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\\\n  float roughness2 = roughness * roughness;\\\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\\\n  return exp(tan2Alpha / roughness2) / denom;\\\\n}\\\\n\\\\nfloat cookTorranceSpecular(\\\\n  vec3 lightDirection,\\\\n  vec3 viewDirection,\\\\n  vec3 surfaceNormal,\\\\n  float roughness,\\\\n  float fresnel) {\\\\n\\\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\\\n\\\\n  //Half angle vector\\\\n  vec3 H = normalize(lightDirection + viewDirection);\\\\n\\\\n  //Geometric term\\\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\\\n  float G = min(1.0, min(G1, G2));\\\\n  \\\\n  //Distribution term\\\\n  float D = beckmannDistribution(NdotH, roughness);\\\\n\\\\n  //Fresnel term\\\\n  float F = pow(1.0 - VdotN, fresnel);\\\\n\\\\n  //Multiply terms and done\\\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\\\n}\\\\n\\\\nbool outOfRange(float a, float b, float p) {\\\\n  return ((p > max(a, b)) || \\\\n          (p < min(a, b)));\\\\n}\\\\n\\\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\\\n  return (outOfRange(a.x, b.x, p.x) ||\\\\n          outOfRange(a.y, b.y, p.y));\\\\n}\\\\n\\\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\\\n  return (outOfRange(a.x, b.x, p.x) ||\\\\n          outOfRange(a.y, b.y, p.y) ||\\\\n          outOfRange(a.z, b.z, p.z));\\\\n}\\\\n\\\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\\\n}\\\\n\\\\nuniform vec3 clipBounds[2];\\\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\\\nuniform sampler2D texture;\\\\n\\\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\\\nvarying vec4 f_color;\\\\nvarying vec2 f_uv;\\\\n\\\\nvoid main() {\\\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\\\n  vec3 N = normalize(f_normal);\\\\n  vec3 L = normalize(f_lightDirection);\\\\n  vec3 V = normalize(f_eyeDirection);\\\\n\\\\n  if(gl_FrontFacing) {\\\\n    N = -N;\\\\n  }\\\\n\\\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\\\n\\\\n  vec4 surfaceColor = f_color * texture2D(texture, f_uv);\\\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\\\n\\\\n  gl_FragColor = litColor * opacity;\\\\n}\\\\n\\\"]),o=n([\\\"precision highp float;\\\\n\\\\nprecision highp float;\\\\n#define GLSLIFY 1\\\\n\\\\nvec3 getOrthogonalVector(vec3 v) {\\\\n  // Return up-vector for only-z vector.\\\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\\\n  // Assign z = 0, x = -b, y = a:\\\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\\\n    return normalize(vec3(-v.y, v.x, 0.0));\\\\n  } else {\\\\n    return normalize(vec3(0.0, v.z, -v.y));\\\\n  }\\\\n}\\\\n\\\\n// Calculate the cone vertex and normal at the given index.\\\\n//\\\\n// The returned vertex is for a cone with its top at origin and height of 1.0,\\\\n// pointing in the direction of the vector attribute.\\\\n//\\\\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\\\\n// These vertices are used to make up the triangles of the cone by the following:\\\\n//   segment + 0 top vertex\\\\n//   segment + 1 perimeter vertex a+1\\\\n//   segment + 2 perimeter vertex a\\\\n//   segment + 3 center base vertex\\\\n//   segment + 4 perimeter vertex a\\\\n//   segment + 5 perimeter vertex a+1\\\\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\\\\n// To go from index to segment, floor(index / 6)\\\\n// To go from segment to angle, 2*pi * (segment/segmentCount)\\\\n// To go from index to segment index, index - (segment*6)\\\\n//\\\\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\\\\n\\\\n  const float segmentCount = 8.0;\\\\n\\\\n  float index = rawIndex - floor(rawIndex /\\\\n    (segmentCount * 6.0)) *\\\\n    (segmentCount * 6.0);\\\\n\\\\n  float segment = floor(0.001 + index/6.0);\\\\n  float segmentIndex = index - (segment*6.0);\\\\n\\\\n  normal = -normalize(d);\\\\n\\\\n  if (segmentIndex > 2.99 && segmentIndex < 3.01) {\\\\n    return mix(vec3(0.0), -d, coneOffset);\\\\n  }\\\\n\\\\n  float nextAngle = (\\\\n    (segmentIndex > 0.99 &&  segmentIndex < 1.01) ||\\\\n    (segmentIndex > 4.99 &&  segmentIndex < 5.01)\\\\n  ) ? 1.0 : 0.0;\\\\n  float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\\\\n\\\\n  vec3 v1 = mix(d, vec3(0.0), coneOffset);\\\\n  vec3 v2 = v1 - d;\\\\n\\\\n  vec3 u = getOrthogonalVector(d);\\\\n  vec3 v = normalize(cross(u, d));\\\\n\\\\n  vec3 x = u * cos(angle) * length(d)*0.25;\\\\n  vec3 y = v * sin(angle) * length(d)*0.25;\\\\n  vec3 v3 = v2 + x + y;\\\\n  if (segmentIndex < 3.0) {\\\\n    vec3 tx = u * sin(angle);\\\\n    vec3 ty = v * -cos(angle);\\\\n    vec3 tangent = tx + ty;\\\\n    normal = normalize(cross(v3 - v1, tangent));\\\\n  }\\\\n\\\\n  if (segmentIndex == 0.0) {\\\\n    return mix(d, vec3(0.0), coneOffset);\\\\n  }\\\\n  return v3;\\\\n}\\\\n\\\\nattribute vec4 vector;\\\\nattribute vec4 position;\\\\nattribute vec4 id;\\\\n\\\\nuniform mat4 model, view, projection;\\\\nuniform float vectorScale, coneScale, coneOffset;\\\\n\\\\nvarying vec3 f_position;\\\\nvarying vec4 f_id;\\\\n\\\\nvoid main() {\\\\n  vec3 normal;\\\\n  vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector.xyz), position.w, coneOffset, normal);\\\\n  vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\\\n  gl_Position = projection * view * conePosition;\\\\n  f_id        = id;\\\\n  f_position  = position.xyz;\\\\n}\\\\n\\\"]),s=n([\\\"precision highp float;\\\\n#define GLSLIFY 1\\\\n\\\\nbool outOfRange(float a, float b, float p) {\\\\n  return ((p > max(a, b)) || \\\\n          (p < min(a, b)));\\\\n}\\\\n\\\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\\\n  return (outOfRange(a.x, b.x, p.x) ||\\\\n          outOfRange(a.y, b.y, p.y));\\\\n}\\\\n\\\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\\\n  return (outOfRange(a.x, b.x, p.x) ||\\\\n          outOfRange(a.y, b.y, p.y) ||\\\\n          outOfRange(a.z, b.z, p.z));\\\\n}\\\\n\\\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\\\n}\\\\n\\\\nuniform vec3  clipBounds[2];\\\\nuniform float pickId;\\\\n\\\\nvarying vec3 f_position;\\\\nvarying vec4 f_id;\\\\n\\\\nvoid main() {\\\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\\\n\\\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\\\n}\\\"]);r.meshShader={vertex:i,fragment:a,attributes:[{name:\\\"position\\\",type:\\\"vec4\\\"},{name:\\\"color\\\",type:\\\"vec4\\\"},{name:\\\"uv\\\",type:\\\"vec2\\\"},{name:\\\"vector\\\",type:\\\"vec3\\\"}]},r.pickShader={vertex:o,fragment:s,attributes:[{name:\\\"position\\\",type:\\\"vec4\\\"},{name:\\\"id\\\",type:\\\"vec4\\\"},{name:\\\"vector\\\",type:\\\"vec3\\\"}]}},{glslify:434}],263:[function(t,e,r){e.exports={0:\\\"NONE\\\",1:\\\"ONE\\\",2:\\\"LINE_LOOP\\\",3:\\\"LINE_STRIP\\\",4:\\\"TRIANGLES\\\",5:\\\"TRIANGLE_STRIP\\\",6:\\\"TRIANGLE_FAN\\\",256:\\\"DEPTH_BUFFER_BIT\\\",512:\\\"NEVER\\\",513:\\\"LESS\\\",514:\\\"EQUAL\\\",515:\\\"LEQUAL\\\",516:\\\"GREATER\\\",517:\\\"NOTEQUAL\\\",518:\\\"GEQUAL\\\",519:\\\"ALWAYS\\\",768:\\\"SRC_COLOR\\\",769:\\\"ONE_MINUS_SRC_COLOR\\\",770:\\\"SRC_ALPHA\\\",771:\\\"ONE_MINUS_SRC_ALPHA\\\",772:\\\"DST_ALPHA\\\",773:\\\"ONE_MINUS_DST_ALPHA\\\",774:\\\"DST_COLOR\\\",775:\\\"ONE_MINUS_DST_COLOR\\\",776:\\\"SRC_ALPHA_SATURATE\\\",1024:\\\"STENCIL_BUFFER_BIT\\\",1028:\\\"FRONT\\\",1029:\\\"BACK\\\",1032:\\\"FRONT_AND_BACK\\\",1280:\\\"INVALID_ENUM\\\",1281:\\\"INVALID_VALUE\\\",1282:\\\"INVALID_OPERATION\\\",1285:\\\"OUT_OF_MEMORY\\\",1286:\\\"INVALID_FRAMEBUFFER_OPERATION\\\",2304:\\\"CW\\\",2305:\\\"CCW\\\",2849:\\\"LINE_WIDTH\\\",2884:\\\"CULL_FACE\\\",2885:\\\"CULL_FACE_MODE\\\",2886:\\\"FRONT_FACE\\\",2928:\\\"DEPTH_RANGE\\\",2929:\\\"DEPTH_TEST\\\",2930:\\\"DEPTH_WRITEMASK\\\",2931:\\\"DEPTH_CLEAR_VALUE\\\",2932:\\\"DEPTH_FUNC\\\",2960:\\\"STENCIL_TEST\\\",2961:\\\"STENCIL_CLEAR_VALUE\\\",2962:\\\"STENCIL_FUNC\\\",2963:\\\"STENCIL_VALUE_MASK\\\",2964:\\\"STENCIL_FAIL\\\",2965:\\\"STENCIL_PASS_DEPTH_FAIL\\\",2966:\\\"STENCIL_PASS_DEPTH_PASS\\\",2967:\\\"STENCIL_REF\\\",2968:\\\"STENCIL_WRITEMASK\\\",2978:\\\"VIEWPORT\\\",3024:\\\"DITHER\\\",3042:\\\"BLEND\\\",3088:\\\"SCISSOR_BOX\\\",3089:\\\"SCISSOR_TEST\\\",3106:\\\"COLOR_CLEAR_VALUE\\\",3107:\\\"COLOR_WRITEMASK\\\",3317:\\\"UNPACK_ALIGNMENT\\\",3333:\\\"PACK_ALIGNMENT\\\",3379:\\\"MAX_TEXTURE_SIZE\\\",3386:\\\"MAX_VIEWPORT_DIMS\\\",3408:\\\"SUBPIXEL_BITS\\\",3410:\\\"RED_BITS\\\",3411:\\\"GREEN_BITS\\\",3412:\\\"BLUE_BITS\\\",3413:\\\"ALPHA_BITS\\\",3414:\\\"DEPTH_BITS\\\",3415:\\\"STENCIL_BITS\\\",3553:\\\"TEXTURE_2D\\\",4352:\\\"DONT_CARE\\\",4353:\\\"FASTEST\\\",4354:\\\"NICEST\\\",5120:\\\"BYTE\\\",5121:\\\"UNSIGNED_BYTE\\\",5122:\\\"SHORT\\\",5123:\\\"UNSIGNED_SHORT\\\",5124:\\\"INT\\\",5125:\\\"UNSIGNED_INT\\\",5126:\\\"FLOAT\\\",5386:\\\"INVERT\\\",5890:\\\"TEXTURE\\\",6401:\\\"STENCIL_INDEX\\\",6402:\\\"DEPTH_COMPONENT\\\",6406:\\\"ALPHA\\\",6407:\\\"RGB\\\",6408:\\\"RGBA\\\",6409:\\\"LUMINANCE\\\",6410:\\\"LUMINANCE_ALPHA\\\",7680:\\\"KEEP\\\",7681:\\\"REPLACE\\\",7682:\\\"INCR\\\",7683:\\\"DECR\\\",7936:\\\"VENDOR\\\",7937:\\\"RENDERER\\\",7938:\\\"VERSION\\\",9728:\\\"NEAREST\\\",9729:\\\"LINEAR\\\",9984:\\\"NEAREST_MIPMAP_NEAREST\\\",9985:\\\"LINEAR_MIPMAP_NEAREST\\\",9986:\\\"NEAREST_MIPMAP_LINEAR\\\",9987:\\\"LINEAR_MIPMAP_LINEAR\\\",10240:\\\"TEXTURE_MAG_FILTER\\\",10241:\\\"TEXTURE_MIN_FILTER\\\",10242:\\\"TEXTURE_WRAP_S\\\",10243:\\\"TEXTURE_WRAP_T\\\",10497:\\\"REPEAT\\\",10752:\\\"POLYGON_OFFSET_UNITS\\\",16384:\\\"COLOR_BUFFER_BIT\\\",32769:\\\"CONSTANT_COLOR\\\",32770:\\\"ONE_MINUS_CONSTANT_COLOR\\\",32771:\\\"CONSTANT_ALPHA\\\",32772:\\\"ONE_MINUS_CONSTANT_ALPHA\\\",32773:\\\"BLEND_COLOR\\\",32774:\\\"FUNC_ADD\\\",32777:\\\"BLEND_EQUATION_RGB\\\",32778:\\\"FUNC_SUBTRACT\\\",32779:\\\"FUNC_REVERSE_SUBTRACT\\\",32819:\\\"UNSIGNED_SHORT_4_4_4_4\\\",32820:\\\"UNSIGNED_SHORT_5_5_5_1\\\",32823:\\\"POLYGON_OFFSET_FILL\\\",32824:\\\"POLYGON_OFFSET_FACTOR\\\",32854:\\\"RGBA4\\\",32855:\\\"RGB5_A1\\\",32873:\\\"TEXTURE_BINDING_2D\\\",32926:\\\"SAMPLE_ALPHA_TO_COVERAGE\\\",32928:\\\"SAMPLE_COVERAGE\\\",32936:\\\"SAMPLE_BUFFERS\\\",32937:\\\"SAMPLES\\\",32938:\\\"SAMPLE_COVERAGE_VALUE\\\",32939:\\\"SAMPLE_COVERAGE_INVERT\\\",32968:\\\"BLEND_DST_RGB\\\",32969:\\\"BLEND_SRC_RGB\\\",32970:\\\"BLEND_DST_ALPHA\\\",32971:\\\"BLEND_SRC_ALPHA\\\",33071:\\\"CLAMP_TO_EDGE\\\",33170:\\\"GENERATE_MIPMAP_HINT\\\",33189:\\\"DEPTH_COMPONENT16\\\",33306:\\\"DEPTH_STENCIL_ATTACHMENT\\\",33635:\\\"UNSIGNED_SHORT_5_6_5\\\",33648:\\\"MIRRORED_REPEAT\\\",33901:\\\"ALIASED_POINT_SIZE_RANGE\\\",33902:\\\"ALIASED_LINE_WIDTH_RANGE\\\",33984:\\\"TEXTURE0\\\",33985:\\\"TEXTURE1\\\",33986:\\\"TEXTURE2\\\",33987:\\\"TEXTURE3\\\",33988:\\\"TEXTURE4\\\",33989:\\\"TEXTURE5\\\",33990:\\\"TEXTURE6\\\",33991:\\\"TEXTURE7\\\",33992:\\\"TEXTURE8\\\",33993:\\\"TEXTURE9\\\",33994:\\\"TEXTURE10\\\",33995:\\\"TEXTURE11\\\",33996:\\\"TEXTURE12\\\",33997:\\\"TEXTURE13\\\",33998:\\\"TEXTURE14\\\",33999:\\\"TEXTURE15\\\",34e3:\\\"TEXTURE16\\\",34001:\\\"TEXTURE17\\\",34002:\\\"TEXTURE18\\\",34003:\\\"TEXTURE19\\\",34004:\\\"TEXTURE20\\\",34005:\\\"TEXTURE21\\\",34006:\\\"TEXTURE22\\\",34007:\\\"TEXTURE23\\\",34008:\\\"TEXTURE24\\\",34009:\\\"TEXTURE25\\\",34010:\\\"TEXTURE26\\\",34011:\\\"TEXTURE27\\\",34012:\\\"TEXTURE28\\\",34013:\\\"TEXTURE29\\\",34014:\\\"TEXTURE30\\\",34015:\\\"TEXTURE31\\\",34016:\\\"ACTIVE_TEXTURE\\\",34024:\\\"MAX_RENDERBUFFER_SIZE\\\",34041:\\\"DEPTH_STENCIL\\\",34055:\\\"INCR_WRAP\\\",34056:\\\"DECR_WRAP\\\",34067:\\\"TEXTURE_CUBE_MAP\\\",34068:\\\"TEXTURE_BINDING_CUBE_MAP\\\",34069:\\\"TEXTURE_CUBE_MAP_POSITIVE_X\\\",34070:\\\"TEXTURE_CUBE_MAP_NEGATIVE_X\\\",34071:\\\"TEXTURE_CUBE_MAP_POSITIVE_Y\\\",34072:\\\"TEXTURE_CUBE_MAP_NEGATIVE_Y\\\",34073:\\\"TEXTURE_CUBE_MAP_POSITIVE_Z\\\",34074:\\\"TEXTURE_CUBE_MAP_NEGATIVE_Z\\\",34076:\\\"MAX_CUBE_MAP_TEXTURE_SIZE\\\",34338:\\\"VERTEX_ATTRIB_ARRAY_ENABLED\\\",34339:\\\"VERTEX_ATTRIB_ARRAY_SIZE\\\",34340:\\\"VERTEX_ATTRIB_ARRAY_STRIDE\\\",34341:\\\"VERTEX_ATTRIB_ARRAY_TYPE\\\",34342:\\\"CURRENT_VERTEX_ATTRIB\\\",34373:\\\"VERTEX_ATTRIB_ARRAY_POINTER\\\",34466:\\\"NUM_COMPRESSED_TEXTURE_FORMATS\\\",34467:\\\"COMPRESSED_TEXTURE_FORMATS\\\",34660:\\\"BUFFER_SIZE\\\",34661:\\\"BUFFER_USAGE\\\",34816:\\\"STENCIL_BACK_FUNC\\\",34817:\\\"STENCIL_BACK_FAIL\\\",34818:\\\"STENCIL_BACK_PASS_DEPTH_FAIL\\\",34819:\\\"STENCIL_BACK_PASS_DEPTH_PASS\\\",34877:\\\"BLEND_EQUATION_ALPHA\\\",34921:\\\"MAX_VERTEX_ATTRIBS\\\",34922:\\\"VERTEX_ATTRIB_ARRAY_NORMALIZED\\\",34930:\\\"MAX_TEXTURE_IMAGE_UNITS\\\",34962:\\\"ARRAY_BUFFER\\\",34963:\\\"ELEMENT_ARRAY_BUFFER\\\",34964:\\\"ARRAY_BUFFER_BINDING\\\",34965:\\\"ELEMENT_ARRAY_BUFFER_BINDING\\\",34975:\\\"VERTEX_ATTRIB_ARRAY_BUFFER_BINDING\\\",35040:\\\"STREAM_DRAW\\\",35044:\\\"STATIC_DRAW\\\",35048:\\\"DYNAMIC_DRAW\\\",35632:\\\"FRAGMENT_SHADER\\\",35633:\\\"VERTEX_SHADER\\\",35660:\\\"MAX_VERTEX_TEXTURE_IMAGE_UNITS\\\",35661:\\\"MAX_COMBINED_TEXTURE_IMAGE_UNITS\\\",35663:\\\"SHADER_TYPE\\\",35664:\\\"FLOAT_VEC2\\\",35665:\\\"FLOAT_VEC3\\\",35666:\\\"FLOAT_VEC4\\\",35667:\\\"INT_VEC2\\\",35668:\\\"INT_VEC3\\\",35669:\\\"INT_VEC4\\\",35670:\\\"BOOL\\\",35671:\\\"BOOL_VEC2\\\",35672:\\\"BOOL_VEC3\\\",35673:\\\"BOOL_VEC4\\\",35674:\\\"FLOAT_MAT2\\\",35675:\\\"FLOAT_MAT3\\\",35676:\\\"FLOAT_MAT4\\\",35678:\\\"SAMPLER_2D\\\",35680:\\\"SAMPLER_CUBE\\\",35712:\\\"DELETE_STATUS\\\",35713:\\\"COMPILE_STATUS\\\",35714:\\\"LINK_STATUS\\\",35715:\\\"VALIDATE_STATUS\\\",35716:\\\"INFO_LOG_LENGTH\\\",35717:\\\"ATTACHED_SHADERS\\\",35718:\\\"ACTIVE_UNIFORMS\\\",35719:\\\"ACTIVE_UNIFORM_MAX_LENGTH\\\",35720:\\\"SHADER_SOURCE_LENGTH\\\",35721:\\\"ACTIVE_ATTRIBUTES\\\",35722:\\\"ACTIVE_ATTRIBUTE_MAX_LENGTH\\\",35724:\\\"SHADING_LANGUAGE_VERSION\\\",35725:\\\"CURRENT_PROGRAM\\\",36003:\\\"STENCIL_BACK_REF\\\",36004:\\\"STENCIL_BACK_VALUE_MASK\\\",36005:\\\"STENCIL_BACK_WRITEMASK\\\",36006:\\\"FRAMEBUFFER_BINDING\\\",36007:\\\"RENDERBUFFER_BINDING\\\",36048:\\\"FRAMEBUFFER_ATTACHMENT_OBJECT_TYPE\\\",36049:\\\"FRAMEBUFFER_ATTACHMENT_OBJECT_NAME\\\",36050:\\\"FRAMEBUFFER_ATTACHMENT_TEXTURE_LEVEL\\\",36051:\\\"FRAMEBUFFER_ATTACHMENT_TEXTURE_CUBE_MAP_FACE\\\",36053:\\\"FRAMEBUFFER_COMPLETE\\\",36054:\\\"FRAMEBUFFER_INCOMPLETE_ATTACHMENT\\\",36055:\\\"FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT\\\",36057:\\\"FRAMEBUFFER_INCOMPLETE_DIMENSIONS\\\",36061:\\\"FRAMEBUFFER_UNSUPPORTED\\\",36064:\\\"COLOR_ATTACHMENT0\\\",36096:\\\"DEPTH_ATTACHMENT\\\",36128:\\\"STENCIL_ATTACHMENT\\\",36160:\\\"FRAMEBUFFER\\\",36161:\\\"RENDERBUFFER\\\",36162:\\\"RENDERBUFFER_WIDTH\\\",36163:\\\"RENDERBUFFER_HEIGHT\\\",36164:\\\"RENDERBUFFER_INTERNAL_FORMAT\\\",36168:\\\"STENCIL_INDEX8\\\",36176:\\\"RENDERBUFFER_RED_SIZE\\\",36177:\\\"RENDERBUFFER_GREEN_SIZE\\\",36178:\\\"RENDERBUFFER_BLUE_SIZE\\\",36179:\\\"RENDERBUFFER_ALPHA_SIZE\\\",36180:\\\"RENDERBUFFER_DEPTH_SIZE\\\",36181:\\\"RENDERBUFFER_STENCIL_SIZE\\\",36194:\\\"RGB565\\\",36336:\\\"LOW_FLOAT\\\",36337:\\\"MEDIUM_FLOAT\\\",36338:\\\"HIGH_FLOAT\\\",36339:\\\"LOW_INT\\\",36340:\\\"MEDIUM_INT\\\",36341:\\\"HIGH_INT\\\",36346:\\\"SHADER_COMPILER\\\",36347:\\\"MAX_VERTEX_UNIFORM_VECTORS\\\",36348:\\\"MAX_VARYING_VECTORS\\\",36349:\\\"MAX_FRAGMENT_UNIFORM_VECTORS\\\",37440:\\\"UNPACK_FLIP_Y_WEBGL\\\",37441:\\\"UNPACK_PREMULTIPLY_ALPHA_WEBGL\\\",37442:\\\"CONTEXT_LOST_WEBGL\\\",37443:\\\"UNPACK_COLORSPACE_CONVERSION_WEBGL\\\",37444:\\\"BROWSER_DEFAULT_WEBGL\\\"}},{}],264:[function(t,e,r){var n=t(\\\"./1.0/numbers\\\");e.exports=function(t){return n[t]}},{\\\"./1.0/numbers\\\":263}],265:[function(t,e,r){\\\"use strict\\\";e.exports=function(t){var e=t.gl,r=n(e),o=i(e,[{buffer:r,type:e.FLOAT,size:3,offset:0,stride:40},{buffer:r,type:e.FLOAT,size:4,offset:12,stride:40},{buffer:r,type:e.FLOAT,size:3,offset:28,stride:40}]),l=a(e);l.attributes.position.location=0,l.attributes.color.location=1,l.attributes.offset.location=2;var c=new s(e,r,o,l);return c.update(t),c};var n=t(\\\"gl-buffer\\\"),i=t(\\\"gl-vao\\\"),a=t(\\\"./shaders/index\\\"),o=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function s(t,e,r,n){this.gl=t,this.shader=n,this.buffer=e,this.vao=r,this.pixelRatio=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lineWidth=[1,1,1],this.capSize=[10,10,10],this.lineCount=[0,0,0],this.lineOffset=[0,0,0],this.opacity=1,this.hasAlpha=!1}var l=s.prototype;function c(t,e){for(var r=0;r<3;++r)t[0][r]=Math.min(t[0][r],e[r]),t[1][r]=Math.max(t[1][r],e[r])}l.isOpaque=function(){return!this.hasAlpha},l.isTransparent=function(){return this.hasAlpha},l.drawTransparent=l.draw=function(t){var e=this.gl,r=this.shader.uniforms;this.shader.bind();var n=r.view=t.view||o,i=r.projection=t.projection||o;r.model=t.model||o,r.clipBounds=this.clipBounds,r.opacity=this.opacity;var a=n[12],s=n[13],l=n[14],c=n[15],u=(t._ortho||!1?2:1)*this.pixelRatio*(i[3]*a+i[7]*s+i[11]*l+i[15]*c)/e.drawingBufferHeight;this.vao.bind();for(var f=0;f<3;++f)e.lineWidth(this.lineWidth[f]*this.pixelRatio),r.capSize=this.capSize[f]*u,this.lineCount[f]&&e.drawArrays(e.LINES,this.lineOffset[f],this.lineCount[f]);this.vao.unbind()};var u=function(){for(var t=new Array(3),e=0;e<3;++e){for(var r=[],n=1;n<=2;++n)for(var i=-1;i<=1;i+=2){var a=[0,0,0];a[(n+e)%3]=i,r.push(a)}t[e]=r}return t}();function f(t,e,r,n){for(var i=u[n],a=0;a<i.length;++a){var o=i[a];t.push(e[0],e[1],e[2],r[0],r[1],r[2],r[3],o[0],o[1],o[2])}return i.length}l.update=function(t){\\\"lineWidth\\\"in(t=t||{})&&(this.lineWidth=t.lineWidth,Array.isArray(this.lineWidth)||(this.lineWidth=[this.lineWidth,this.lineWidth,this.lineWidth])),\\\"capSize\\\"in t&&(this.capSize=t.capSize,Array.isArray(this.capSize)||(this.capSize=[this.capSize,this.capSize,this.capSize])),this.hasAlpha=!1,\\\"opacity\\\"in t&&(this.opacity=+t.opacity,this.opacity<1&&(this.hasAlpha=!0));var e=t.color||[[0,0,0],[0,0,0],[0,0,0]],r=t.position,n=t.error;if(Array.isArray(e[0])||(e=[e,e,e]),r&&n){var i=[],a=r.length,o=0;this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.lineCount=[0,0,0];for(var s=0;s<3;++s){this.lineOffset[s]=o;t:for(var l=0;l<a;++l){for(var u=r[l],h=0;h<3;++h)if(isNaN(u[h])||!isFinite(u[h]))continue t;var p=n[l],d=e[s];if(Array.isArray(d[0])&&(d=e[l]),3===d.length?d=[d[0],d[1],d[2],1]:4===d.length&&(d=[d[0],d[1],d[2],d[3]],!this.hasAlpha&&d[3]<1&&(this.hasAlpha=!0)),!isNaN(p[0][s])&&!isNaN(p[1][s])){var m;if(p[0][s]<0)(m=u.slice())[s]+=p[0][s],i.push(u[0],u[1],u[2],d[0],d[1],d[2],d[3],0,0,0,m[0],m[1],m[2],d[0],d[1],d[2],d[3],0,0,0),c(this.bounds,m),o+=2+f(i,m,d,s);if(p[1][s]>0)(m=u.slice())[s]+=p[1][s],i.push(u[0],u[1],u[2],d[0],d[1],d[2],d[3],0,0,0,m[0],m[1],m[2],d[0],d[1],d[2],d[3],0,0,0),c(this.bounds,m),o+=2+f(i,m,d,s)}}this.lineCount[s]=o-this.lineOffset[s]}this.buffer.update(i)}},l.dispose=function(){this.shader.dispose(),this.buffer.dispose(),this.vao.dispose()}},{\\\"./shaders/index\\\":267,\\\"gl-buffer\\\":259,\\\"gl-vao\\\":353}],266:[function(t,e,r){arguments[4][257][0].apply(r,arguments)},{dup:257}],267:[function(t,e,r){\\\"use strict\\\";var n=t(\\\"glslify\\\"),i=t(\\\"gl-shader\\\"),a=n([\\\"precision highp float;\\\\n#define GLSLIFY 1\\\\n\\\\nattribute vec3 position, offset;\\\\nattribute vec4 color;\\\\nuniform mat4 model, view, projection;\\\\nuniform float capSize;\\\\nvarying vec4 fragColor;\\\\nvarying vec3 fragPosition;\\\\n\\\\nvoid main() {\\\\n  vec4 worldPosition  = model * vec4(position, 1.0);\\\\n  worldPosition       = (worldPosition / worldPosition.w) + vec4(capSize * offset, 0.0);\\\\n  gl_Position         = projection * view * worldPosition;\\\\n  fragColor           = color;\\\\n  fragPosition        = position;\\\\n}\\\"]),o=n([\\\"precision highp float;\\\\n#define GLSLIFY 1\\\\n\\\\nbool outOfRange(float a, float b, float p) {\\\\n  return ((p > max(a, b)) || \\\\n          (p < min(a, b)));\\\\n}\\\\n\\\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\\\n  return (outOfRange(a.x, b.x, p.x) ||\\\\n          outOfRange(a.y, b.y, p.y));\\\\n}\\\\n\\\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\\\n  return (outOfRange(a.x, b.x, p.x) ||\\\\n          outOfRange(a.y, b.y, p.y) ||\\\\n          outOfRange(a.z, b.z, p.z));\\\\n}\\\\n\\\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\\\n}\\\\n\\\\nuniform vec3 clipBounds[2];\\\\nuniform float opacity;\\\\nvarying vec3 fragPosition;\\\\nvarying vec4 fragColor;\\\\n\\\\nvoid main() {\\\\n  if (\\\\n    outOfRange(clipBounds[0], clipBounds[1], fragPosition) ||\\\\n    fragColor.a * opacity == 0.\\\\n  ) discard;\\\\n\\\\n  gl_FragColor = opacity * fragColor;\\\\n}\\\"]);e.exports=function(t){return i(t,a,o,null,[{name:\\\"position\\\",type:\\\"vec3\\\"},{name:\\\"color\\\",type:\\\"vec4\\\"},{name:\\\"offset\\\",type:\\\"vec3\\\"}])}},{\\\"gl-shader\\\":331,glslify:266}],268:[function(t,e,r){\\\"use strict\\\";var n=t(\\\"gl-texture2d\\\");e.exports=function(t,e,r,n){i||(i=t.FRAMEBUFFER_UNSUPPORTED,a=t.FRAMEBUFFER_INCOMPLETE_ATTACHMENT,o=t.FRAMEBUFFER_INCOMPLETE_DIMENSIONS,s=t.FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT);var c=t.getExtension(\\\"WEBGL_draw_buffers\\\");!l&&c&&function(t,e){var r=t.getParameter(e.MAX_COLOR_ATTACHMENTS_WEBGL);l=new Array(r+1);for(var n=0;n<=r;++n){for(var i=new Array(r),a=0;a<n;++a)i[a]=t.COLOR_ATTACHMENT0+a;for(a=n;a<r;++a)i[a]=t.NONE;l[n]=i}}(t,c);Array.isArray(e)&&(n=r,r=0|e[1],e=0|e[0]);if(\\\"number\\\"!=typeof e)throw new Error(\\\"gl-fbo: Missing shape parameter\\\");var u=t.getParameter(t.MAX_RENDERBUFFER_SIZE);if(e<0||e>u||r<0||r>u)throw new Error(\\\"gl-fbo: Parameters are too large for FBO\\\");var f=1;if(\\\"color\\\"in(n=n||{})){if((f=Math.max(0|n.color,0))<0)throw new Error(\\\"gl-fbo: Must specify a nonnegative number of colors\\\");if(f>1){if(!c)throw new Error(\\\"gl-fbo: Multiple draw buffer extension not supported\\\");if(f>t.getParameter(c.MAX_COLOR_ATTACHMENTS_WEBGL))throw new Error(\\\"gl-fbo: Context does not support \\\"+f+\\\" draw buffers\\\")}}var h=t.UNSIGNED_BYTE,p=t.getExtension(\\\"OES_texture_float\\\");if(n.float&&f>0){if(!p)throw new Error(\\\"gl-fbo: Context does not support floating point textures\\\");h=t.FLOAT}else n.preferFloat&&f>0&&p&&(h=t.FLOAT);var m=!0;\\\"depth\\\"in n&&(m=!!n.depth);var g=!1;\\\"stencil\\\"in n&&(g=!!n.stencil);return new d(t,e,r,h,f,m,g,c)};var i,a,o,s,l=null;function c(t){return[t.getParameter(t.FRAMEBUFFER_BINDING),t.getParameter(t.RENDERBUFFER_BINDING),t.getParameter(t.TEXTURE_BINDING_2D)]}function u(t,e){t.bindFramebuffer(t.FRAMEBUFFER,e[0]),t.bindRenderbuffer(t.RENDERBUFFER,e[1]),t.bindTexture(t.TEXTURE_2D,e[2])}function f(t){switch(t){case i:throw new Error(\\\"gl-fbo: Framebuffer unsupported\\\");case a:throw new Error(\\\"gl-fbo: Framebuffer incomplete attachment\\\");case o:throw new Error(\\\"gl-fbo: Framebuffer incomplete dimensions\\\");case s:throw new Error(\\\"gl-fbo: Framebuffer incomplete missing attachment\\\");default:throw new Error(\\\"gl-fbo: Framebuffer failed for unspecified reason\\\")}}function h(t,e,r,i,a,o){if(!i)return null;var s=n(t,e,r,a,i);return s.magFilter=t.NEAREST,s.minFilter=t.NEAREST,s.mipSamples=1,s.bind(),t.framebufferTexture2D(t.FRAMEBUFFER,o,t.TEXTURE_2D,s.handle,0),s}function p(t,e,r,n,i){var a=t.createRenderbuffer();return t.bindRenderbuffer(t.RENDERBUFFER,a),t.renderbufferStorage(t.RENDERBUFFER,n,e,r),t.framebufferRenderbuffer(t.FRAMEBUFFER,i,t.RENDERBUFFER,a),a}function d(t,e,r,n,i,a,o,s){this.gl=t,this._shape=[0|e,0|r],this._destroyed=!1,this._ext=s,this.color=new Array(i);for(var d=0;d<i;++d)this.color[d]=null;this._color_rb=null,this.depth=null,this._depth_rb=null,this._colorType=n,this._useDepth=a,this._useStencil=o;var m=this,g=[0|e,0|r];Object.defineProperties(g,{0:{get:function(){return m._shape[0]},set:function(t){return m.width=t}},1:{get:function(){return m._shape[1]},set:function(t){return m.height=t}}}),this._shapeVector=g,function(t){var e=c(t.gl),r=t.gl,n=t.handle=r.createFramebuffer(),i=t._shape[0],a=t._shape[1],o=t.color.length,s=t._ext,d=t._useStencil,m=t._useDepth,g=t._colorType;r.bindFramebuffer(r.FRAMEBUFFER,n);for(var v=0;v<o;++v)t.color[v]=h(r,i,a,g,r.RGBA,r.COLOR_ATTACHMENT0+v);0===o?(t._color_rb=p(r,i,a,r.RGBA4,r.COLOR_ATTACHMENT0),s&&s.drawBuffersWEBGL(l[0])):o>1&&s.drawBuffersWEBGL(l[o]);var y=r.getExtension(\\\"WEBGL_depth_texture\\\");y?d?t.depth=h(r,i,a,y.UNSIGNED_INT_24_8_WEBGL,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):m&&(t.depth=h(r,i,a,r.UNSIGNED_SHORT,r.DEPTH_COMPONENT,r.DEPTH_ATTACHMENT)):m&&d?t._depth_rb=p(r,i,a,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):m?t._depth_rb=p(r,i,a,r.DEPTH_COMPONENT16,r.DEPTH_ATTACHMENT):d&&(t._depth_rb=p(r,i,a,r.STENCIL_INDEX,r.STENCIL_ATTACHMENT));var x=r.checkFramebufferStatus(r.FRAMEBUFFER);if(x!==r.FRAMEBUFFER_COMPLETE){t._destroyed=!0,r.bindFramebuffer(r.FRAMEBUFFER,null),r.deleteFramebuffer(t.handle),t.handle=null,t.depth&&(t.depth.dispose(),t.depth=null),t._depth_rb&&(r.deleteRenderbuffer(t._depth_rb),t._depth_rb=null);for(v=0;v<t.color.length;++v)t.color[v].dispose(),t.color[v]=null;t._color_rb&&(r.deleteRenderbuffer(t._color_rb),t._color_rb=null),u(r,e),f(x)}u(r,e)}(this)}var m=d.prototype;function g(t,e,r){if(t._destroyed)throw new Error(\\\"gl-fbo: Can't resize destroyed FBO\\\");if(t._shape[0]!==e||t._shape[1]!==r){var n=t.gl,i=n.getParameter(n.MAX_RENDERBUFFER_SIZE);if(e<0||e>i||r<0||r>i)throw new Error(\\\"gl-fbo: Can't resize FBO, invalid dimensions\\\");t._shape[0]=e,t._shape[1]=r;for(var a=c(n),o=0;o<t.color.length;++o)t.color[o].shape=t._shape;t._color_rb&&(n.bindRenderbuffer(n.RENDERBUFFER,t._color_rb),n.renderbufferStorage(n.RENDERBUFFER,n.RGBA4,t._shape[0],t._shape[1])),t.depth&&(t.depth.shape=t._shape),t._depth_rb&&(n.bindRenderbuffer(n.RENDERBUFFER,t._depth_rb),t._useDepth&&t._useStencil?n.renderbufferStorage(n.RENDERBUFFER,n.DEPTH_STENCIL,t._shape[0],t._shape[1]):t._useDepth?n.renderbufferStorage(n.RENDERBUFFER,n.DEPTH_COMPONENT16,t._shape[0],t._shape[1]):t._useStencil&&n.renderbufferStorage(n.RENDERBUFFER,n.STENCIL_INDEX,t._shape[0],t._shape[1])),n.bindFramebuffer(n.FRAMEBUFFER,t.handle);var s=n.checkFramebufferStatus(n.FRAMEBUFFER);s!==n.FRAMEBUFFER_COMPLETE&&(t.dispose(),u(n,a),f(s)),u(n,a)}}Object.defineProperties(m,{shape:{get:function(){return this._destroyed?[0,0]:this._shapeVector},set:function(t){if(Array.isArray(t)||(t=[0|t,0|t]),2!==t.length)throw new Error(\\\"gl-fbo: Shape vector must be length 2\\\");var e=0|t[0],r=0|t[1];return g(this,e,r),[e,r]},enumerable:!1},width:{get:function(){return this._destroyed?0:this._shape[0]},set:function(t){return g(this,t|=0,this._shape[1]),t},enumerable:!1},height:{get:function(){return this._destroyed?0:this._shape[1]},set:function(t){return t|=0,g(this,this._shape[0],t),t},enumerable:!1}}),m.bind=function(){if(!this._destroyed){var t=this.gl;t.bindFramebuffer(t.FRAMEBUFFER,this.handle),t.viewport(0,0,this._shape[0],this._shape[1])}},m.dispose=function(){if(!this._destroyed){this._destroyed=!0;var t=this.gl;t.deleteFramebuffer(this.handle),this.handle=null,this.depth&&(this.depth.dispose(),this.depth=null),this._depth_rb&&(t.deleteRenderbuffer(this._depth_rb),this._depth_rb=null);for(var e=0;e<this.color.length;++e)this.color[e].dispose(),this.color[e]=null;this._color_rb&&(t.deleteRenderbuffer(this._color_rb),this._color_rb=null)}}},{\\\"gl-texture2d\\\":348}],269:[function(t,e,r){var n=t(\\\"sprintf-js\\\").sprintf,i=t(\\\"gl-constants/lookup\\\"),a=t(\\\"glsl-shader-name\\\"),o=t(\\\"add-line-numbers\\\");e.exports=function(t,e,r){\\\"use strict\\\";var s=a(e)||\\\"of unknown name (see npm glsl-shader-name)\\\",l=\\\"unknown type\\\";void 0!==r&&(l=r===i.FRAGMENT_SHADER?\\\"fragment\\\":\\\"vertex\\\");for(var c=n(\\\"Error compiling %s shader %s:\\\\n\\\",l,s),u=n(\\\"%s%s\\\",c,t),f=t.split(\\\"\\\\n\\\"),h={},p=0;p<f.length;p++){var d=f[p];if(\\\"\\\"!==d&&\\\"\\\\0\\\"!==d){var m=parseInt(d.split(\\\":\\\")[2]);if(isNaN(m))throw new Error(n(\\\"Could not parse error: %s\\\",d));h[m]=d}}var g=o(e).split(\\\"\\\\n\\\");for(p=0;p<g.length;p++)if(h[p+3]||h[p+2]||h[p+1]){var v=g[p];if(c+=v+\\\"\\\\n\\\",h[p+1]){var y=h[p+1];y=y.substr(y.split(\\\":\\\",3).join(\\\":\\\").length+1).trim(),c+=n(\\\"^^^ %s\\\\n\\\\n\\\",y)}}return{long:c.trim(),short:u.trim()}}},{\\\"add-line-numbers\\\":68,\\\"gl-constants/lookup\\\":264,\\\"glsl-shader-name\\\":426,\\\"sprintf-js\\\":560}],270:[function(t,e,r){\\\"use strict\\\";e.exports=function(t,e){var r=t.gl,n=o(r,l.vertex,l.fragment),i=o(r,l.pickVertex,l.pickFragment),a=s(r),u=s(r),f=s(r),h=s(r),p=new c(t,n,i,a,u,f,h);return p.update(e),t.addObject(p),p};var n=t(\\\"binary-search-bounds\\\"),i=t(\\\"iota-array\\\"),a=t(\\\"typedarray-pool\\\"),o=t(\\\"gl-shader\\\"),s=t(\\\"gl-buffer\\\"),l=t(\\\"./lib/shaders\\\");function c(t,e,r,n,i,a,o){this.plot=t,this.shader=e,this.pickShader=r,this.positionBuffer=n,this.weightBuffer=i,this.colorBuffer=a,this.idBuffer=o,this.xData=[],this.yData=[],this.shape=[0,0],this.bounds=[1/0,1/0,-1/0,-1/0],this.pickOffset=0}var u,f=c.prototype,h=[0,0,1,0,0,1,1,0,1,1,0,1];f.draw=(u=[1,0,0,0,1,0,0,0,1],function(){var t=this.plot,e=this.shader,r=this.bounds,n=this.numVertices;if(!(n<=0)){var i=t.gl,a=t.dataBox,o=r[2]-r[0],s=r[3]-r[1],l=a[2]-a[0],c=a[3]-a[1];u[0]=2*o/l,u[4]=2*s/c,u[6]=2*(r[0]-a[0])/l-1,u[7]=2*(r[1]-a[1])/c-1,e.bind();var f=e.uniforms;f.viewTransform=u,f.shape=this.shape;var h=e.attributes;this.positionBuffer.bind(),h.position.pointer(),this.weightBuffer.bind(),h.weight.pointer(i.UNSIGNED_BYTE,!1),this.colorBuffer.bind(),h.color.pointer(i.UNSIGNED_BYTE,!0),i.drawArrays(i.TRIANGLES,0,n)}}),f.drawPick=function(){var t=[1,0,0,0,1,0,0,0,1],e=[0,0,0,0];return function(r){var n=this.plot,i=this.pickShader,a=this.bounds,o=this.numVertices;if(!(o<=0)){var s=n.gl,l=n.dataBox,c=a[2]-a[0],u=a[3]-a[1],f=l[2]-l[0],h=l[3]-l[1];t[0]=2*c/f,t[4]=2*u/h,t[6]=2*(a[0]-l[0])/f-1,t[7]=2*(a[1]-l[1])/h-1;for(var p=0;p<4;++p)e[p]=r>>8*p&255;this.pickOffset=r,i.bind();var d=i.uniforms;d.viewTransform=t,d.pickOffset=e,d.shape=this.shape;var m=i.attributes;return this.positionBuffer.bind(),m.position.pointer(),this.weightBuffer.bind(),m.weight.pointer(s.UNSIGNED_BYTE,!1),this.idBuffer.bind(),m.pickId.pointer(s.UNSIGNED_BYTE,!1),s.drawArrays(s.TRIANGLES,0,o),r+this.shape[0]*this.shape[1]}}}(),f.pick=function(t,e,r){var n=this.pickOffset,i=this.shape[0]*this.shape[1];if(r<n||r>=n+i)return null;var a=r-n,o=this.xData,s=this.yData;return{object:this,pointId:a,dataCoord:[o[a%this.shape[0]],s[a/this.shape[0]|0]]}},f.update=function(t){var e=(t=t||{}).shape||[0,0],r=t.x||i(e[0]),o=t.y||i(e[1]),s=t.z||new Float32Array(e[0]*e[1]),l=!1!==t.zsmooth;this.xData=r,this.yData=o;var c,u,f,p,d=t.colorLevels||[0],m=t.colorValues||[0,0,0,1],g=d.length,v=this.bounds;l?(c=v[0]=r[0],u=v[1]=o[0],f=v[2]=r[r.length-1],p=v[3]=o[o.length-1]):(c=v[0]=r[0]+(r[1]-r[0])/2,u=v[1]=o[0]+(o[1]-o[0])/2,f=v[2]=r[r.length-1]+(r[r.length-1]-r[r.length-2])/2,p=v[3]=o[o.length-1]+(o[o.length-1]-o[o.length-2])/2);var y=1/(f-c),x=1/(p-u),b=e[0],_=e[1];this.shape=[b,_];var w=(l?(b-1)*(_-1):b*_)*(h.length>>>1);this.numVertices=w;for(var T=a.mallocUint8(4*w),k=a.mallocFloat32(2*w),M=a.mallocUint8(2*w),A=a.mallocUint32(w),S=0,E=l?b-1:b,L=l?_-1:_,C=0;C<L;++C){var P,I;l?(P=x*(o[C]-u),I=x*(o[C+1]-u)):(P=C<_-1?x*(o[C]-(o[C+1]-o[C])/2-u):x*(o[C]-(o[C]-o[C-1])/2-u),I=C<_-1?x*(o[C]+(o[C+1]-o[C])/2-u):x*(o[C]+(o[C]-o[C-1])/2-u));for(var O=0;O<E;++O){var z,D;l?(z=y*(r[O]-c),D=y*(r[O+1]-c)):(z=O<b-1?y*(r[O]-(r[O+1]-r[O])/2-c):y*(r[O]-(r[O]-r[O-1])/2-c),D=O<b-1?y*(r[O]+(r[O+1]-r[O])/2-c):y*(r[O]+(r[O]-r[O-1])/2-c));for(var R=0;R<h.length;R+=2){var F,B,N,j,U=h[R],V=h[R+1],q=s[l?(C+V)*b+(O+U):C*b+O],H=n.le(d,q);if(H<0)F=m[0],B=m[1],N=m[2],j=m[3];else if(H===g-1)F=m[4*g-4],B=m[4*g-3],N=m[4*g-2],j=m[4*g-1];else{var G=(q-d[H])/(d[H+1]-d[H]),Y=1-G,W=4*H,X=4*(H+1);F=Y*m[W]+G*m[X],B=Y*m[W+1]+G*m[X+1],N=Y*m[W+2]+G*m[X+2],j=Y*m[W+3]+G*m[X+3]}T[4*S]=255*F,T[4*S+1]=255*B,T[4*S+2]=255*N,T[4*S+3]=255*j,k[2*S]=.5*z+.5*D,k[2*S+1]=.5*P+.5*I,M[2*S]=U,M[2*S+1]=V,A[S]=C*b+O,S+=1}}}this.positionBuffer.update(k),this.weightBuffer.update(M),this.colorBuffer.update(T),this.idBuffer.update(A),a.free(k),a.free(T),a.free(M),a.free(A)},f.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.positionBuffer.dispose(),this.weightBuffer.dispose(),this.colorBuffer.dispose(),this.idBuffer.dispose(),this.plot.removeObject(this)}},{\\\"./lib/shaders\\\":271,\\\"binary-search-bounds\\\":99,\\\"gl-buffer\\\":259,\\\"gl-shader\\\":331,\\\"iota-array\\\":443,\\\"typedarray-pool\\\":609}],271:[function(t,e,r){\\\"use strict\\\";var n=t(\\\"glslify\\\");e.exports={fragment:n([\\\"precision lowp float;\\\\n#define GLSLIFY 1\\\\nvarying vec4 fragColor;\\\\nvoid main() {\\\\n  gl_FragColor = vec4(fragColor.rgb * fragColor.a, fragColor.a);\\\\n}\\\\n\\\"]),vertex:n([\\\"precision mediump float;\\\\n#define GLSLIFY 1\\\\n\\\\nattribute vec2 position;\\\\nattribute vec4 color;\\\\nattribute vec2 weight;\\\\n\\\\nuniform vec2 shape;\\\\nuniform mat3 viewTransform;\\\\n\\\\nvarying vec4 fragColor;\\\\n\\\\nvoid main() {\\\\n  vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\\\\n  fragColor = color;\\\\n  gl_Position = vec4(vPosition.xy, 0, vPosition.z);\\\\n}\\\\n\\\"]),pickFragment:n([\\\"precision mediump float;\\\\n#define GLSLIFY 1\\\\n\\\\nvarying vec4 fragId;\\\\nvarying vec2 vWeight;\\\\n\\\\nuniform vec2 shape;\\\\nuniform vec4 pickOffset;\\\\n\\\\nvoid main() {\\\\n  vec2 d = step(.5, vWeight);\\\\n  vec4 id = fragId + pickOffset;\\\\n  id.x += d.x + d.y*shape.x;\\\\n\\\\n  id.y += floor(id.x / 256.0);\\\\n  id.x -= floor(id.x / 256.0) * 256.0;\\\\n\\\\n  id.z += floor(id.y / 256.0);\\\\n  id.y -= floor(id.y / 256.0) * 256.0;\\\\n\\\\n  id.w += floor(id.z / 256.0);\\\\n  id.z -= floor(id.z / 256.0) * 256.0;\\\\n\\\\n  gl_FragColor = id/255.;\\\\n}\\\\n\\\"]),pickVertex:n([\\\"precision mediump float;\\\\n#define GLSLIFY 1\\\\n\\\\nattribute vec2 position;\\\\nattribute vec4 pickId;\\\\nattribute vec2 weight;\\\\n\\\\nuniform vec2 shape;\\\\nuniform mat3 viewTransform;\\\\n\\\\nvarying vec4 fragId;\\\\nvarying vec2 vWeight;\\\\n\\\\nvoid main() {\\\\n  vWeight = weight;\\\\n\\\\n  fragId = pickId;\\\\n\\\\n  vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\\\\n  gl_Position = vec4(vPosition.xy, 0, vPosition.z);\\\\n}\\\\n\\\"])}},{glslify:434}],272:[function(t,e,r){var n=t(\\\"glslify\\\"),i=t(\\\"gl-shader\\\"),a=n([\\\"precision highp float;\\\\n#define GLSLIFY 1\\\\n\\\\nattribute vec3 position, nextPosition;\\\\nattribute float arcLength, lineWidth;\\\\nattribute vec4 color;\\\\n\\\\nuniform vec2 screenShape;\\\\nuniform float pixelRatio;\\\\nuniform mat4 model, view, projection;\\\\n\\\\nvarying vec4 fragColor;\\\\nvarying vec3 worldPosition;\\\\nvarying float pixelArcLength;\\\\n\\\\nvec4 project(vec3 p) {\\\\n  return projection * view * model * vec4(p, 1.0);\\\\n}\\\\n\\\\nvoid main() {\\\\n  vec4 startPoint = project(position);\\\\n  vec4 endPoint   = project(nextPosition);\\\\n\\\\n  vec2 A = startPoint.xy / startPoint.w;\\\\n  vec2 B =   endPoint.xy /   endPoint.w;\\\\n\\\\n  float clipAngle = atan(\\\\n    (B.y - A.y) * screenShape.y,\\\\n    (B.x - A.x) * screenShape.x\\\\n  );\\\\n\\\\n  vec2 offset = 0.5 * pixelRatio * lineWidth * vec2(\\\\n    sin(clipAngle),\\\\n    -cos(clipAngle)\\\\n  ) / screenShape;\\\\n\\\\n  gl_Position = vec4(startPoint.xy + startPoint.w * offset, startPoint.zw);\\\\n\\\\n  worldPosition = position;\\\\n  pixelArcLength = arcLength;\\\\n  fragColor = color;\\\\n}\\\\n\\\"]),o=n([\\\"precision highp float;\\\\n#define GLSLIFY 1\\\\n\\\\nbool outOfRange(float a, float b, float p) {\\\\n  return ((p > max(a, b)) || \\\\n          (p < min(a, b)));\\\\n}\\\\n\\\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\\\n  return (outOfRange(a.x, b.x, p.x) ||\\\\n          outOfRange(a.y, b.y, p.y));\\\\n}\\\\n\\\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\\\n  return (outOfRange(a.x, b.x, p.x) ||\\\\n          outOfRange(a.y, b.y, p.y) ||\\\\n          outOfRange(a.z, b.z, p.z));\\\\n}\\\\n\\\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\\\n}\\\\n\\\\nuniform vec3      clipBounds[2];\\\\nuniform sampler2D dashTexture;\\\\nuniform float     dashScale;\\\\nuniform float     opacity;\\\\n\\\\nvarying vec3    worldPosition;\\\\nvarying float   pixelArcLength;\\\\nvarying vec4    fragColor;\\\\n\\\\nvoid main() {\\\\n  if (\\\\n    outOfRange(clipBounds[0], clipBounds[1], worldPosition) ||\\\\n    fragColor.a * opacity == 0.\\\\n  ) discard;\\\\n\\\\n  float dashWeight = texture2D(dashTexture, vec2(dashScale * pixelArcLength, 0)).r;\\\\n  if(dashWeight < 0.5) {\\\\n    discard;\\\\n  }\\\\n  gl_FragColor = fragColor * opacity;\\\\n}\\\\n\\\"]),s=n([\\\"precision highp float;\\\\n#define GLSLIFY 1\\\\n\\\\n#define FLOAT_MAX  1.70141184e38\\\\n#define FLOAT_MIN  1.17549435e-38\\\\n\\\\n// https://github.com/mikolalysenko/glsl-read-float/blob/master/index.glsl\\\\nvec4 packFloat(float v) {\\\\n  float av = abs(v);\\\\n\\\\n  //Handle special cases\\\\n  if(av < FLOAT_MIN) {\\\\n    return vec4(0.0, 0.0, 0.0, 0.0);\\\\n  } else if(v > FLOAT_MAX) {\\\\n    return vec4(127.0, 128.0, 0.0, 0.0) / 255.0;\\\\n  } else if(v < -FLOAT_MAX) {\\\\n    return vec4(255.0, 128.0, 0.0, 0.0) / 255.0;\\\\n  }\\\\n\\\\n  vec4 c = vec4(0,0,0,0);\\\\n\\\\n  //Compute exponent and mantissa\\\\n  float e = floor(log2(av));\\\\n  float m = av * pow(2.0, -e) - 1.0;\\\\n\\\\n  //Unpack mantissa\\\\n  c[1] = floor(128.0 * m);\\\\n  m -= c[1] / 128.0;\\\\n  c[2] = floor(32768.0 * m);\\\\n  m -= c[2] / 32768.0;\\\\n  c[3] = floor(8388608.0 * m);\\\\n\\\\n  //Unpack exponent\\\\n  float ebias = e + 127.0;\\\\n  c[0] = floor(ebias / 2.0);\\\\n  ebias -= c[0] * 2.0;\\\\n  c[1] += floor(ebias) * 128.0;\\\\n\\\\n  //Unpack sign bit\\\\n  c[0] += 128.0 * step(0.0, -v);\\\\n\\\\n  //Scale back to range\\\\n  return c / 255.0;\\\\n}\\\\n\\\\nbool outOfRange(float a, float b, float p) {\\\\n  return ((p > max(a, b)) || \\\\n          (p < min(a, b)));\\\\n}\\\\n\\\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\\\n  return (outOfRange(a.x, b.x, p.x) ||\\\\n          outOfRange(a.y, b.y, p.y));\\\\n}\\\\n\\\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\\\n  return (outOfRange(a.x, b.x, p.x) ||\\\\n          outOfRange(a.y, b.y, p.y) ||\\\\n          outOfRange(a.z, b.z, p.z));\\\\n}\\\\n\\\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\\\n}\\\\n\\\\nuniform float pickId;\\\\nuniform vec3 clipBounds[2];\\\\n\\\\nvarying vec3 worldPosition;\\\\nvarying float pixelArcLength;\\\\nvarying vec4 fragColor;\\\\n\\\\nvoid main() {\\\\n  if (outOfRange(clipBounds[0], clipBounds[1], worldPosition)) discard;\\\\n\\\\n  gl_FragColor = vec4(pickId/255.0, packFloat(pixelArcLength).xyz);\\\\n}\\\"]),l=[{name:\\\"position\\\",type:\\\"vec3\\\"},{name:\\\"nextPosition\\\",type:\\\"vec3\\\"},{name:\\\"arcLength\\\",type:\\\"float\\\"},{name:\\\"lineWidth\\\",type:\\\"float\\\"},{name:\\\"color\\\",type:\\\"vec4\\\"}];r.createShader=function(t){return i(t,a,o,null,l)},r.createPickShader=function(t){return i(t,a,s,null,l)}},{\\\"gl-shader\\\":331,glslify:274}],273:[function(t,e,r){\\\"use strict\\\";e.exports=function(t){var e=t.gl||t.scene&&t.scene.gl,r=f(e);r.attributes.position.location=0,r.attributes.nextPosition.location=1,r.attributes.arcLength.location=2,r.attributes.lineWidth.location=3,r.attributes.color.location=4;var o=h(e);o.attributes.position.location=0,o.attributes.nextPosition.location=1,o.attributes.arcLength.location=2,o.attributes.lineWidth.location=3,o.attributes.color.location=4;for(var s=n(e),l=i(e,[{buffer:s,size:3,offset:0,stride:48},{buffer:s,size:3,offset:12,stride:48},{buffer:s,size:1,offset:24,stride:48},{buffer:s,size:1,offset:28,stride:48},{buffer:s,size:4,offset:32,stride:48}]),u=c(new Array(1024),[256,1,4]),p=0;p<1024;++p)u.data[p]=255;var d=a(e,u);d.wrap=e.REPEAT;var m=new v(e,r,o,s,l,d);return m.update(t),m};var n=t(\\\"gl-buffer\\\"),i=t(\\\"gl-vao\\\"),a=t(\\\"gl-texture2d\\\"),o=new Uint8Array(4),s=new Float32Array(o.buffer);var l=t(\\\"binary-search-bounds\\\"),c=t(\\\"ndarray\\\"),u=t(\\\"./lib/shaders\\\"),f=u.createShader,h=u.createPickShader,p=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function d(t,e){for(var r=0,n=0;n<3;++n){var i=t[n]-e[n];r+=i*i}return Math.sqrt(r)}function m(t){for(var e=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],r=0;r<3;++r)e[0][r]=Math.max(t[0][r],e[0][r]),e[1][r]=Math.min(t[1][r],e[1][r]);return e}function g(t,e,r,n){this.arcLength=t,this.position=e,this.index=r,this.dataCoordinate=n}function v(t,e,r,n,i,a){this.gl=t,this.shader=e,this.pickShader=r,this.buffer=n,this.vao=i,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.points=[],this.arcLength=[],this.vertexCount=0,this.bounds=[[0,0,0],[0,0,0]],this.pickId=0,this.lineWidth=1,this.texture=a,this.dashScale=1,this.opacity=1,this.hasAlpha=!1,this.dirty=!0,this.pixelRatio=1}var y=v.prototype;y.isTransparent=function(){return this.hasAlpha},y.isOpaque=function(){return!this.hasAlpha},y.pickSlots=1,y.setPickBase=function(t){this.pickId=t},y.drawTransparent=y.draw=function(t){if(this.vertexCount){var e=this.gl,r=this.shader,n=this.vao;r.bind(),r.uniforms={model:t.model||p,view:t.view||p,projection:t.projection||p,clipBounds:m(this.clipBounds),dashTexture:this.texture.bind(),dashScale:this.dashScale/this.arcLength[this.arcLength.length-1],opacity:this.opacity,screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount),n.unbind()}},y.drawPick=function(t){if(this.vertexCount){var e=this.gl,r=this.pickShader,n=this.vao;r.bind(),r.uniforms={model:t.model||p,view:t.view||p,projection:t.projection||p,pickId:this.pickId,clipBounds:m(this.clipBounds),screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount),n.unbind()}},y.update=function(t){var e,r;this.dirty=!0;var n=!!t.connectGaps;\\\"dashScale\\\"in t&&(this.dashScale=t.dashScale),this.hasAlpha=!1,\\\"opacity\\\"in t&&(this.opacity=+t.opacity,this.opacity<1&&(this.hasAlpha=!0));var i=[],a=[],o=[],s=0,u=0,f=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],h=t.position||t.positions;if(h){var p=t.color||t.colors||[0,0,0,1],m=t.lineWidth||1,g=!1;t:for(e=1;e<h.length;++e){var v,y,x,b=h[e-1],_=h[e];for(a.push(s),o.push(b.slice()),r=0;r<3;++r){if(isNaN(b[r])||isNaN(_[r])||!isFinite(b[r])||!isFinite(_[r])){if(!n&&i.length>0){for(var w=0;w<24;++w)i.push(i[i.length-12]);u+=2,g=!0}continue t}f[0][r]=Math.min(f[0][r],b[r],_[r]),f[1][r]=Math.max(f[1][r],b[r],_[r])}Array.isArray(p[0])?(v=p.length>e-1?p[e-1]:p.length>0?p[p.length-1]:[0,0,0,1],y=p.length>e?p[e]:p.length>0?p[p.length-1]:[0,0,0,1]):v=y=p,3===v.length&&(v=[v[0],v[1],v[2],1]),3===y.length&&(y=[y[0],y[1],y[2],1]),!this.hasAlpha&&v[3]<1&&(this.hasAlpha=!0),x=Array.isArray(m)?m.length>e-1?m[e-1]:m.length>0?m[m.length-1]:[0,0,0,1]:m;var T=s;if(s+=d(b,_),g){for(r=0;r<2;++r)i.push(b[0],b[1],b[2],_[0],_[1],_[2],T,x,v[0],v[1],v[2],v[3]);u+=2,g=!1}i.push(b[0],b[1],b[2],_[0],_[1],_[2],T,x,v[0],v[1],v[2],v[3],b[0],b[1],b[2],_[0],_[1],_[2],T,-x,v[0],v[1],v[2],v[3],_[0],_[1],_[2],b[0],b[1],b[2],s,-x,y[0],y[1],y[2],y[3],_[0],_[1],_[2],b[0],b[1],b[2],s,x,y[0],y[1],y[2],y[3]),u+=4}}if(this.buffer.update(i),a.push(s),o.push(h[h.length-1].slice()),this.bounds=f,this.vertexCount=u,this.points=o,this.arcLength=a,\\\"dashes\\\"in t){var k=t.dashes.slice();for(k.unshift(0),e=1;e<k.length;++e)k[e]=k[e-1]+k[e];var M=c(new Array(1024),[256,1,4]);for(e=0;e<256;++e){for(r=0;r<4;++r)M.set(e,0,r,0);1&l.le(k,k[k.length-1]*e/255)?M.set(e,0,0,0):M.set(e,0,0,255)}this.texture.setPixels(M)}},y.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()},y.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=function(t,e,r,n){return o[0]=n,o[1]=r,o[2]=e,o[3]=t,s[0]}(t.value[0],t.value[1],t.value[2],0),r=l.le(this.arcLength,e);if(r<0)return null;if(r===this.arcLength.length-1)return new g(this.arcLength[this.arcLength.length-1],this.points[this.points.length-1].slice(),r);for(var n=this.points[r],i=this.points[Math.min(r+1,this.points.length-1)],a=(e-this.arcLength[r])/(this.arcLength[r+1]-this.arcLength[r]),c=1-a,u=[0,0,0],f=0;f<3;++f)u[f]=c*n[f]+a*i[f];var h=Math.min(a<.5?r:r+1,this.points.length-1);return new g(e,u,h,this.points[h])}},{\\\"./lib/shaders\\\":272,\\\"binary-search-bounds\\\":99,\\\"gl-buffer\\\":259,\\\"gl-texture2d\\\":348,\\\"gl-vao\\\":353,ndarray:475}],274:[function(t,e,r){arguments[4][257][0].apply(r,arguments)},{dup:257}],275:[function(t,e,r){e.exports=function(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=e[4],s=e[5],l=e[6],c=e[7],u=e[8],f=e[9],h=e[10],p=e[11],d=e[12],m=e[13],g=e[14],v=e[15];return t[0]=s*(h*v-p*g)-f*(l*v-c*g)+m*(l*p-c*h),t[1]=-(n*(h*v-p*g)-f*(i*v-a*g)+m*(i*p-a*h)),t[2]=n*(l*v-c*g)-s*(i*v-a*g)+m*(i*c-a*l),t[3]=-(n*(l*p-c*h)-s*(i*p-a*h)+f*(i*c-a*l)),t[4]=-(o*(h*v-p*g)-u*(l*v-c*g)+d*(l*p-c*h)),t[5]=r*(h*v-p*g)-u*(i*v-a*g)+d*(i*p-a*h),t[6]=-(r*(l*v-c*g)-o*(i*v-a*g)+d*(i*c-a*l)),t[7]=r*(l*p-c*h)-o*(i*p-a*h)+u*(i*c-a*l),t[8]=o*(f*v-p*m)-u*(s*v-c*m)+d*(s*p-c*f),t[9]=-(r*(f*v-p*m)-u*(n*v-a*m)+d*(n*p-a*f)),t[10]=r*(s*v-c*m)-o*(n*v-a*m)+d*(n*c-a*s),t[11]=-(r*(s*p-c*f)-o*(n*p-a*f)+u*(n*c-a*s)),t[12]=-(o*(f*g-h*m)-u*(s*g-l*m)+d*(s*h-l*f)),t[13]=r*(f*g-h*m)-u*(n*g-i*m)+d*(n*h-i*f),t[14]=-(r*(s*g-l*m)-o*(n*g-i*m)+d*(n*l-i*s)),t[15]=r*(s*h-l*f)-o*(n*h-i*f)+u*(n*l-i*s),t}},{}],276:[function(t,e,r){e.exports=function(t){var e=new Float32Array(16);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],e[4]=t[4],e[5]=t[5],e[6]=t[6],e[7]=t[7],e[8]=t[8],e[9]=t[9],e[10]=t[10],e[11]=t[11],e[12]=t[12],e[13]=t[13],e[14]=t[14],e[15]=t[15],e}},{}],277:[function(t,e,r){e.exports=function(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=e[3],t[4]=e[4],t[5]=e[5],t[6]=e[6],t[7]=e[7],t[8]=e[8],t[9]=e[9],t[10]=e[10],t[11]=e[11],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15],t}},{}],278:[function(t,e,r){e.exports=function(){var t=new Float32Array(16);return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},{}],279:[function(t,e,r){e.exports=function(t){var e=t[0],r=t[1],n=t[2],i=t[3],a=t[4],o=t[5],s=t[6],l=t[7],c=t[8],u=t[9],f=t[10],h=t[11],p=t[12],d=t[13],m=t[14],g=t[15];return(e*o-r*a)*(f*g-h*m)-(e*s-n*a)*(u*g-h*d)+(e*l-i*a)*(u*m-f*d)+(r*s-n*o)*(c*g-h*p)-(r*l-i*o)*(c*m-f*p)+(n*l-i*s)*(c*d-u*p)}},{}],280:[function(t,e,r){e.exports=function(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=r+r,s=n+n,l=i+i,c=r*o,u=n*o,f=n*s,h=i*o,p=i*s,d=i*l,m=a*o,g=a*s,v=a*l;return t[0]=1-f-d,t[1]=u+v,t[2]=h-g,t[3]=0,t[4]=u-v,t[5]=1-c-d,t[6]=p+m,t[7]=0,t[8]=h+g,t[9]=p-m,t[10]=1-c-f,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},{}],281:[function(t,e,r){e.exports=function(t,e,r){var n,i,a,o=r[0],s=r[1],l=r[2],c=Math.sqrt(o*o+s*s+l*l);if(Math.abs(c)<1e-6)return null;return o*=c=1/c,s*=c,l*=c,n=Math.sin(e),i=Math.cos(e),a=1-i,t[0]=o*o*a+i,t[1]=s*o*a+l*n,t[2]=l*o*a-s*n,t[3]=0,t[4]=o*s*a-l*n,t[5]=s*s*a+i,t[6]=l*s*a+o*n,t[7]=0,t[8]=o*l*a+s*n,t[9]=s*l*a-o*n,t[10]=l*l*a+i,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},{}],282:[function(t,e,r){e.exports=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3],s=n+n,l=i+i,c=a+a,u=n*s,f=n*l,h=n*c,p=i*l,d=i*c,m=a*c,g=o*s,v=o*l,y=o*c;return t[0]=1-(p+m),t[1]=f+y,t[2]=h-v,t[3]=0,t[4]=f-y,t[5]=1-(u+m),t[6]=d+g,t[7]=0,t[8]=h+v,t[9]=d-g,t[10]=1-(u+p),t[11]=0,t[12]=r[0],t[13]=r[1],t[14]=r[2],t[15]=1,t}},{}],283:[function(t,e,r){e.exports=function(t,e){return t[0]=e[0],t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=e[1],t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=e[2],t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},{}],284:[function(t,e,r){e.exports=function(t,e){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=e[0],t[13]=e[1],t[14]=e[2],t[15]=1,t}},{}],285:[function(t,e,r){e.exports=function(t,e){var r=Math.sin(e),n=Math.cos(e);return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=n,t[6]=r,t[7]=0,t[8]=0,t[9]=-r,t[10]=n,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},{}],286:[function(t,e,r){e.exports=function(t,e){var r=Math.sin(e),n=Math.cos(e);return t[0]=n,t[1]=0,t[2]=-r,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=r,t[9]=0,t[10]=n,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},{}],287:[function(t,e,r){e.exports=function(t,e){var r=Math.sin(e),n=Math.cos(e);return t[0]=n,t[1]=r,t[2]=0,t[3]=0,t[4]=-r,t[5]=n,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},{}],288:[function(t,e,r){e.exports=function(t,e,r,n,i,a,o){var s=1/(r-e),l=1/(i-n),c=1/(a-o);return t[0]=2*a*s,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=2*a*l,t[6]=0,t[7]=0,t[8]=(r+e)*s,t[9]=(i+n)*l,t[10]=(o+a)*c,t[11]=-1,t[12]=0,t[13]=0,t[14]=o*a*2*c,t[15]=0,t}},{}],289:[function(t,e,r){e.exports=function(t){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},{}],290:[function(t,e,r){e.exports={create:t(\\\"./create\\\"),clone:t(\\\"./clone\\\"),copy:t(\\\"./copy\\\"),identity:t(\\\"./identity\\\"),transpose:t(\\\"./transpose\\\"),invert:t(\\\"./invert\\\"),adjoint:t(\\\"./adjoint\\\"),determinant:t(\\\"./determinant\\\"),multiply:t(\\\"./multiply\\\"),translate:t(\\\"./translate\\\"),scale:t(\\\"./scale\\\"),rotate:t(\\\"./rotate\\\"),rotateX:t(\\\"./rotateX\\\"),rotateY:t(\\\"./rotateY\\\"),rotateZ:t(\\\"./rotateZ\\\"),fromRotation:t(\\\"./fromRotation\\\"),fromRotationTranslation:t(\\\"./fromRotationTranslation\\\"),fromScaling:t(\\\"./fromScaling\\\"),fromTranslation:t(\\\"./fromTranslation\\\"),fromXRotation:t(\\\"./fromXRotation\\\"),fromYRotation:t(\\\"./fromYRotation\\\"),fromZRotation:t(\\\"./fromZRotation\\\"),fromQuat:t(\\\"./fromQuat\\\"),frustum:t(\\\"./frustum\\\"),perspective:t(\\\"./perspective\\\"),perspectiveFromFieldOfView:t(\\\"./perspectiveFromFieldOfView\\\"),ortho:t(\\\"./ortho\\\"),lookAt:t(\\\"./lookAt\\\"),str:t(\\\"./str\\\")}},{\\\"./adjoint\\\":275,\\\"./clone\\\":276,\\\"./copy\\\":277,\\\"./create\\\":278,\\\"./determinant\\\":279,\\\"./fromQuat\\\":280,\\\"./fromRotation\\\":281,\\\"./fromRotationTranslation\\\":282,\\\"./fromScaling\\\":283,\\\"./fromTranslation\\\":284,\\\"./fromXRotation\\\":285,\\\"./fromYRotation\\\":286,\\\"./fromZRotation\\\":287,\\\"./frustum\\\":288,\\\"./identity\\\":289,\\\"./invert\\\":291,\\\"./lookAt\\\":292,\\\"./multiply\\\":293,\\\"./ortho\\\":294,\\\"./perspective\\\":295,\\\"./perspectiveFromFieldOfView\\\":296,\\\"./rotate\\\":297,\\\"./rotateX\\\":298,\\\"./rotateY\\\":299,\\\"./rotateZ\\\":300,\\\"./scale\\\":301,\\\"./str\\\":302,\\\"./translate\\\":303,\\\"./transpose\\\":304}],291:[function(t,e,r){e.exports=function(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=e[4],s=e[5],l=e[6],c=e[7],u=e[8],f=e[9],h=e[10],p=e[11],d=e[12],m=e[13],g=e[14],v=e[15],y=r*s-n*o,x=r*l-i*o,b=r*c-a*o,_=n*l-i*s,w=n*c-a*s,T=i*c-a*l,k=u*m-f*d,M=u*g-h*d,A=u*v-p*d,S=f*g-h*m,E=f*v-p*m,L=h*v-p*g,C=y*L-x*E+b*S+_*A-w*M+T*k;if(!C)return null;return C=1/C,t[0]=(s*L-l*E+c*S)*C,t[1]=(i*E-n*L-a*S)*C,t[2]=(m*T-g*w+v*_)*C,t[3]=(h*w-f*T-p*_)*C,t[4]=(l*A-o*L-c*M)*C,t[5]=(r*L-i*A+a*M)*C,t[6]=(g*b-d*T-v*x)*C,t[7]=(u*T-h*b+p*x)*C,t[8]=(o*E-s*A+c*k)*C,t[9]=(n*A-r*E-a*k)*C,t[10]=(d*w-m*b+v*y)*C,t[11]=(f*b-u*w-p*y)*C,t[12]=(s*M-o*S-l*k)*C,t[13]=(r*S-n*M+i*k)*C,t[14]=(m*x-d*_-g*y)*C,t[15]=(u*_-f*x+h*y)*C,t}},{}],292:[function(t,e,r){var n=t(\\\"./identity\\\");e.exports=function(t,e,r,i){var a,o,s,l,c,u,f,h,p,d,m=e[0],g=e[1],v=e[2],y=i[0],x=i[1],b=i[2],_=r[0],w=r[1],T=r[2];if(Math.abs(m-_)<1e-6&&Math.abs(g-w)<1e-6&&Math.abs(v-T)<1e-6)return n(t);f=m-_,h=g-w,p=v-T,d=1/Math.sqrt(f*f+h*h+p*p),a=x*(p*=d)-b*(h*=d),o=b*(f*=d)-y*p,s=y*h-x*f,(d=Math.sqrt(a*a+o*o+s*s))?(a*=d=1/d,o*=d,s*=d):(a=0,o=0,s=0);l=h*s-p*o,c=p*a-f*s,u=f*o-h*a,(d=Math.sqrt(l*l+c*c+u*u))?(l*=d=1/d,c*=d,u*=d):(l=0,c=0,u=0);return t[0]=a,t[1]=l,t[2]=f,t[3]=0,t[4]=o,t[5]=c,t[6]=h,t[7]=0,t[8]=s,t[9]=u,t[10]=p,t[11]=0,t[12]=-(a*m+o*g+s*v),t[13]=-(l*m+c*g+u*v),t[14]=-(f*m+h*g+p*v),t[15]=1,t}},{\\\"./identity\\\":289}],293:[function(t,e,r){e.exports=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],c=e[6],u=e[7],f=e[8],h=e[9],p=e[10],d=e[11],m=e[12],g=e[13],v=e[14],y=e[15],x=r[0],b=r[1],_=r[2],w=r[3];return t[0]=x*n+b*s+_*f+w*m,t[1]=x*i+b*l+_*h+w*g,t[2]=x*a+b*c+_*p+w*v,t[3]=x*o+b*u+_*d+w*y,x=r[4],b=r[5],_=r[6],w=r[7],t[4]=x*n+b*s+_*f+w*m,t[5]=x*i+b*l+_*h+w*g,t[6]=x*a+b*c+_*p+w*v,t[7]=x*o+b*u+_*d+w*y,x=r[8],b=r[9],_=r[10],w=r[11],t[8]=x*n+b*s+_*f+w*m,t[9]=x*i+b*l+_*h+w*g,t[10]=x*a+b*c+_*p+w*v,t[11]=x*o+b*u+_*d+w*y,x=r[12],b=r[13],_=r[14],w=r[15],t[12]=x*n+b*s+_*f+w*m,t[13]=x*i+b*l+_*h+w*g,t[14]=x*a+b*c+_*p+w*v,t[15]=x*o+b*u+_*d+w*y,t}},{}],294:[function(t,e,r){e.exports=function(t,e,r,n,i,a,o){var s=1/(e-r),l=1/(n-i),c=1/(a-o);return t[0]=-2*s,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=-2*l,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=2*c,t[11]=0,t[12]=(e+r)*s,t[13]=(i+n)*l,t[14]=(o+a)*c,t[15]=1,t}},{}],295:[function(t,e,r){e.exports=function(t,e,r,n,i){var a=1/Math.tan(e/2),o=1/(n-i);return t[0]=a/r,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=a,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=(i+n)*o,t[11]=-1,t[12]=0,t[13]=0,t[14]=2*i*n*o,t[15]=0,t}},{}],296:[function(t,e,r){e.exports=function(t,e,r,n){var i=Math.tan(e.upDegrees*Math.PI/180),a=Math.tan(e.downDegrees*Math.PI/180),o=Math.tan(e.leftDegrees*Math.PI/180),s=Math.tan(e.rightDegrees*Math.PI/180),l=2/(o+s),c=2/(i+a);return t[0]=l,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=c,t[6]=0,t[7]=0,t[8]=-(o-s)*l*.5,t[9]=(i-a)*c*.5,t[10]=n/(r-n),t[11]=-1,t[12]=0,t[13]=0,t[14]=n*r/(r-n),t[15]=0,t}},{}],297:[function(t,e,r){e.exports=function(t,e,r,n){var i,a,o,s,l,c,u,f,h,p,d,m,g,v,y,x,b,_,w,T,k,M,A,S,E=n[0],L=n[1],C=n[2],P=Math.sqrt(E*E+L*L+C*C);if(Math.abs(P)<1e-6)return null;E*=P=1/P,L*=P,C*=P,i=Math.sin(r),a=Math.cos(r),o=1-a,s=e[0],l=e[1],c=e[2],u=e[3],f=e[4],h=e[5],p=e[6],d=e[7],m=e[8],g=e[9],v=e[10],y=e[11],x=E*E*o+a,b=L*E*o+C*i,_=C*E*o-L*i,w=E*L*o-C*i,T=L*L*o+a,k=C*L*o+E*i,M=E*C*o+L*i,A=L*C*o-E*i,S=C*C*o+a,t[0]=s*x+f*b+m*_,t[1]=l*x+h*b+g*_,t[2]=c*x+p*b+v*_,t[3]=u*x+d*b+y*_,t[4]=s*w+f*T+m*k,t[5]=l*w+h*T+g*k,t[6]=c*w+p*T+v*k,t[7]=u*w+d*T+y*k,t[8]=s*M+f*A+m*S,t[9]=l*M+h*A+g*S,t[10]=c*M+p*A+v*S,t[11]=u*M+d*A+y*S,e!==t&&(t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t}},{}],298:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[4],o=e[5],s=e[6],l=e[7],c=e[8],u=e[9],f=e[10],h=e[11];e!==t&&(t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=e[3],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[4]=a*i+c*n,t[5]=o*i+u*n,t[6]=s*i+f*n,t[7]=l*i+h*n,t[8]=c*i-a*n,t[9]=u*i-o*n,t[10]=f*i-s*n,t[11]=h*i-l*n,t}},{}],299:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],c=e[8],u=e[9],f=e[10],h=e[11];e!==t&&(t[4]=e[4],t[5]=e[5],t[6]=e[6],t[7]=e[7],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[0]=a*i-c*n,t[1]=o*i-u*n,t[2]=s*i-f*n,t[3]=l*i-h*n,t[8]=a*n+c*i,t[9]=o*n+u*i,t[10]=s*n+f*i,t[11]=l*n+h*i,t}},{}],300:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],c=e[4],u=e[5],f=e[6],h=e[7];e!==t&&(t[8]=e[8],t[9]=e[9],t[10]=e[10],t[11]=e[11],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[0]=a*i+c*n,t[1]=o*i+u*n,t[2]=s*i+f*n,t[3]=l*i+h*n,t[4]=c*i-a*n,t[5]=u*i-o*n,t[6]=f*i-s*n,t[7]=h*i-l*n,t}},{}],301:[function(t,e,r){e.exports=function(t,e,r){var n=r[0],i=r[1],a=r[2];return t[0]=e[0]*n,t[1]=e[1]*n,t[2]=e[2]*n,t[3]=e[3]*n,t[4]=e[4]*i,t[5]=e[5]*i,t[6]=e[6]*i,t[7]=e[7]*i,t[8]=e[8]*a,t[9]=e[9]*a,t[10]=e[10]*a,t[11]=e[11]*a,t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15],t}},{}],302:[function(t,e,r){e.exports=function(t){return\\\"mat4(\\\"+t[0]+\\\", \\\"+t[1]+\\\", \\\"+t[2]+\\\", \\\"+t[3]+\\\", \\\"+t[4]+\\\", \\\"+t[5]+\\\", \\\"+t[6]+\\\", \\\"+t[7]+\\\", \\\"+t[8]+\\\", \\\"+t[9]+\\\", \\\"+t[10]+\\\", \\\"+t[11]+\\\", \\\"+t[12]+\\\", \\\"+t[13]+\\\", \\\"+t[14]+\\\", \\\"+t[15]+\\\")\\\"}},{}],303:[function(t,e,r){e.exports=function(t,e,r){var n,i,a,o,s,l,c,u,f,h,p,d,m=r[0],g=r[1],v=r[2];e===t?(t[12]=e[0]*m+e[4]*g+e[8]*v+e[12],t[13]=e[1]*m+e[5]*g+e[9]*v+e[13],t[14]=e[2]*m+e[6]*g+e[10]*v+e[14],t[15]=e[3]*m+e[7]*g+e[11]*v+e[15]):(n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],c=e[6],u=e[7],f=e[8],h=e[9],p=e[10],d=e[11],t[0]=n,t[1]=i,t[2]=a,t[3]=o,t[4]=s,t[5]=l,t[6]=c,t[7]=u,t[8]=f,t[9]=h,t[10]=p,t[11]=d,t[12]=n*m+s*g+f*v+e[12],t[13]=i*m+l*g+h*v+e[13],t[14]=a*m+c*g+p*v+e[14],t[15]=o*m+u*g+d*v+e[15]);return t}},{}],304:[function(t,e,r){e.exports=function(t,e){if(t===e){var r=e[1],n=e[2],i=e[3],a=e[6],o=e[7],s=e[11];t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=r,t[6]=e[9],t[7]=e[13],t[8]=n,t[9]=a,t[11]=e[14],t[12]=i,t[13]=o,t[14]=s}else t[0]=e[0],t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=e[1],t[5]=e[5],t[6]=e[9],t[7]=e[13],t[8]=e[2],t[9]=e[6],t[10]=e[10],t[11]=e[14],t[12]=e[3],t[13]=e[7],t[14]=e[11],t[15]=e[15];return t}},{}],305:[function(t,e,r){\\\"use strict\\\";var n=t(\\\"barycentric\\\"),i=t(\\\"polytope-closest-point/lib/closest_point_2d.js\\\");function a(t,e){for(var r=[0,0,0,0],n=0;n<4;++n)for(var i=0;i<4;++i)r[i]+=t[4*n+i]*e[n];return r}function o(t,e,r,n,i){for(var o=a(n,a(r,a(e,[t[0],t[1],t[2],1]))),s=0;s<3;++s)o[s]/=o[3];return[.5*i[0]*(1+o[0]),.5*i[1]*(1-o[1])]}function s(t,e){for(var r=[0,0,0],n=0;n<t.length;++n)for(var i=t[n],a=e[n],o=0;o<3;++o)r[o]+=a*i[o];return r}e.exports=function(t,e,r,a,l,c){if(1===t.length)return[0,t[0].slice()];for(var u=new Array(t.length),f=0;f<t.length;++f)u[f]=o(t[f],r,a,l,c);var h=0,p=1/0;for(f=0;f<u.length;++f){for(var d=0,m=0;m<2;++m)d+=Math.pow(u[f][m]-e[m],2);d<p&&(p=d,h=f)}var g=function(t,e){if(2===t.length){for(var r=0,a=0,o=0;o<2;++o)r+=Math.pow(e[o]-t[0][o],2),a+=Math.pow(e[o]-t[1][o],2);return r=Math.sqrt(r),a=Math.sqrt(a),r+a<1e-6?[1,0]:[a/(r+a),r/(a+r)]}if(3===t.length){var s=[0,0];return i(t[0],t[1],t[2],e,s),n(t,s)}return[]}(u,e),v=0;for(f=0;f<3;++f){if(g[f]<-.001||g[f]>1.0001)return null;v+=g[f]}if(Math.abs(v-1)>.001)return null;return[h,s(t,g),g]}},{barycentric:81,\\\"polytope-closest-point/lib/closest_point_2d.js\\\":504}],306:[function(t,e,r){var n=t(\\\"glslify\\\"),i=n([\\\"precision highp float;\\\\n#define GLSLIFY 1\\\\n\\\\nattribute vec3 position, normal;\\\\nattribute vec4 color;\\\\nattribute vec2 uv;\\\\n\\\\nuniform mat4 model\\\\n           , view\\\\n           , projection\\\\n           , inverseModel;\\\\nuniform vec3 eyePosition\\\\n           , lightPosition;\\\\n\\\\nvarying vec3 f_normal\\\\n           , f_lightDirection\\\\n           , f_eyeDirection\\\\n           , f_data;\\\\nvarying vec4 f_color;\\\\nvarying vec2 f_uv;\\\\n\\\\nvec4 project(vec3 p) {\\\\n  return projection * view * model * vec4(p, 1.0);\\\\n}\\\\n\\\\nvoid main() {\\\\n  gl_Position      = project(position);\\\\n\\\\n  //Lighting geometry parameters\\\\n  vec4 cameraCoordinate = view * vec4(position , 1.0);\\\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\\\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\\\\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\\\\n  f_normal  = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\\\n\\\\n  f_color          = color;\\\\n  f_data           = position;\\\\n  f_uv             = uv;\\\\n}\\\\n\\\"]),a=n([\\\"#extension GL_OES_standard_derivatives : enable\\\\n\\\\nprecision highp float;\\\\n#define GLSLIFY 1\\\\n\\\\nfloat beckmannDistribution(float x, float roughness) {\\\\n  float NdotH = max(x, 0.0001);\\\\n  float cos2Alpha = NdotH * NdotH;\\\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\\\n  float roughness2 = roughness * roughness;\\\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\\\n  return exp(tan2Alpha / roughness2) / denom;\\\\n}\\\\n\\\\nfloat cookTorranceSpecular(\\\\n  vec3 lightDirection,\\\\n  vec3 viewDirection,\\\\n  vec3 surfaceNormal,\\\\n  float roughness,\\\\n  float fresnel) {\\\\n\\\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\\\n\\\\n  //Half angle vector\\\\n  vec3 H = normalize(lightDirection + viewDirection);\\\\n\\\\n  //Geometric term\\\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\\\n  float G = min(1.0, min(G1, G2));\\\\n  \\\\n  //Distribution term\\\\n  float D = beckmannDistribution(NdotH, roughness);\\\\n\\\\n  //Fresnel term\\\\n  float F = pow(1.0 - VdotN, fresnel);\\\\n\\\\n  //Multiply terms and done\\\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\\\n}\\\\n\\\\n//#pragma glslify: beckmann = require(glsl-specular-beckmann) // used in gl-surface3d\\\\n\\\\nbool outOfRange(float a, float b, float p) {\\\\n  return ((p > max(a, b)) || \\\\n          (p < min(a, b)));\\\\n}\\\\n\\\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\\\n  return (outOfRange(a.x, b.x, p.x) ||\\\\n          outOfRange(a.y, b.y, p.y));\\\\n}\\\\n\\\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\\\n  return (outOfRange(a.x, b.x, p.x) ||\\\\n          outOfRange(a.y, b.y, p.y) ||\\\\n          outOfRange(a.z, b.z, p.z));\\\\n}\\\\n\\\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\\\n}\\\\n\\\\nuniform vec3 clipBounds[2];\\\\nuniform float roughness\\\\n            , fresnel\\\\n            , kambient\\\\n            , kdiffuse\\\\n            , kspecular;\\\\nuniform sampler2D texture;\\\\n\\\\nvarying vec3 f_normal\\\\n           , f_lightDirection\\\\n           , f_eyeDirection\\\\n           , f_data;\\\\nvarying vec4 f_color;\\\\nvarying vec2 f_uv;\\\\n\\\\nvoid main() {\\\\n  if (f_color.a == 0.0 ||\\\\n    outOfRange(clipBounds[0], clipBounds[1], f_data)\\\\n  ) discard;\\\\n\\\\n  vec3 N = normalize(f_normal);\\\\n  vec3 L = normalize(f_lightDirection);\\\\n  vec3 V = normalize(f_eyeDirection);\\\\n\\\\n  if(gl_FrontFacing) {\\\\n    N = -N;\\\\n  }\\\\n\\\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\\\n  //float specular = max(0.0, beckmann(L, V, N, roughness)); // used in gl-surface3d\\\\n\\\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\\\n\\\\n  vec4 surfaceColor = vec4(f_color.rgb, 1.0) * texture2D(texture, f_uv);\\\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\\\n\\\\n  gl_FragColor = litColor * f_color.a;\\\\n}\\\\n\\\"]),o=n([\\\"precision highp float;\\\\n#define GLSLIFY 1\\\\n\\\\nattribute vec3 position;\\\\nattribute vec4 color;\\\\nattribute vec2 uv;\\\\n\\\\nuniform mat4 model, view, projection;\\\\n\\\\nvarying vec4 f_color;\\\\nvarying vec3 f_data;\\\\nvarying vec2 f_uv;\\\\n\\\\nvoid main() {\\\\n  gl_Position = projection * view * model * vec4(position, 1.0);\\\\n  f_color = color;\\\\n  f_data  = position;\\\\n  f_uv    = uv;\\\\n}\\\"]),s=n([\\\"precision highp float;\\\\n#define GLSLIFY 1\\\\n\\\\nbool outOfRange(float a, float b, float p) {\\\\n  return ((p > max(a, b)) || \\\\n          (p < min(a, b)));\\\\n}\\\\n\\\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\\\n  return (outOfRange(a.x, b.x, p.x) ||\\\\n          outOfRange(a.y, b.y, p.y));\\\\n}\\\\n\\\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\\\n  return (outOfRange(a.x, b.x, p.x) ||\\\\n          outOfRange(a.y, b.y, p.y) ||\\\\n          outOfRange(a.z, b.z, p.z));\\\\n}\\\\n\\\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\\\n}\\\\n\\\\nuniform vec3 clipBounds[2];\\\\nuniform sampler2D texture;\\\\nuniform float opacity;\\\\n\\\\nvarying vec4 f_color;\\\\nvarying vec3 f_data;\\\\nvarying vec2 f_uv;\\\\n\\\\nvoid main() {\\\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_data)) discard;\\\\n\\\\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\\\\n}\\\"]),l=n([\\\"precision highp float;\\\\n#define GLSLIFY 1\\\\n\\\\nbool outOfRange(float a, float b, float p) {\\\\n  return ((p > max(a, b)) || \\\\n          (p < min(a, b)));\\\\n}\\\\n\\\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\\\n  return (outOfRange(a.x, b.x, p.x) ||\\\\n          outOfRange(a.y, b.y, p.y));\\\\n}\\\\n\\\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\\\n  return (outOfRange(a.x, b.x, p.x) ||\\\\n          outOfRange(a.y, b.y, p.y) ||\\\\n          outOfRange(a.z, b.z, p.z));\\\\n}\\\\n\\\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\\\n}\\\\n\\\\nattribute vec3 position;\\\\nattribute vec4 color;\\\\nattribute vec2 uv;\\\\nattribute float pointSize;\\\\n\\\\nuniform mat4 model, view, projection;\\\\nuniform vec3 clipBounds[2];\\\\n\\\\nvarying vec4 f_color;\\\\nvarying vec2 f_uv;\\\\n\\\\nvoid main() {\\\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\\\n\\\\n    gl_Position = vec4(0.0, 0.0 ,0.0 ,0.0);\\\\n  } else {\\\\n    gl_Position = projection * view * model * vec4(position, 1.0);\\\\n  }\\\\n  gl_PointSize = pointSize;\\\\n  f_color = color;\\\\n  f_uv = uv;\\\\n}\\\"]),c=n([\\\"precision highp float;\\\\n#define GLSLIFY 1\\\\n\\\\nuniform sampler2D texture;\\\\nuniform float opacity;\\\\n\\\\nvarying vec4 f_color;\\\\nvarying vec2 f_uv;\\\\n\\\\nvoid main() {\\\\n  vec2 pointR = gl_PointCoord.xy - vec2(0.5, 0.5);\\\\n  if(dot(pointR, pointR) > 0.25) {\\\\n    discard;\\\\n  }\\\\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\\\\n}\\\"]),u=n([\\\"precision highp float;\\\\n#define GLSLIFY 1\\\\n\\\\nattribute vec3 position;\\\\nattribute vec4 id;\\\\n\\\\nuniform mat4 model, view, projection;\\\\n\\\\nvarying vec3 f_position;\\\\nvarying vec4 f_id;\\\\n\\\\nvoid main() {\\\\n  gl_Position = projection * view * model * vec4(position, 1.0);\\\\n  f_id        = id;\\\\n  f_position  = position;\\\\n}\\\"]),f=n([\\\"precision highp float;\\\\n#define GLSLIFY 1\\\\n\\\\nbool outOfRange(float a, float b, float p) {\\\\n  return ((p > max(a, b)) || \\\\n          (p < min(a, b)));\\\\n}\\\\n\\\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\\\n  return (outOfRange(a.x, b.x, p.x) ||\\\\n          outOfRange(a.y, b.y, p.y));\\\\n}\\\\n\\\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\\\n  return (outOfRange(a.x, b.x, p.x) ||\\\\n          outOfRange(a.y, b.y, p.y) ||\\\\n          outOfRange(a.z, b.z, p.z));\\\\n}\\\\n\\\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\\\n}\\\\n\\\\nuniform vec3  clipBounds[2];\\\\nuniform float pickId;\\\\n\\\\nvarying vec3 f_position;\\\\nvarying vec4 f_id;\\\\n\\\\nvoid main() {\\\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\\\n\\\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\\\n}\\\"]),h=n([\\\"precision highp float;\\\\n#define GLSLIFY 1\\\\n\\\\nbool outOfRange(float a, float b, float p) {\\\\n  return ((p > max(a, b)) || \\\\n          (p < min(a, b)));\\\\n}\\\\n\\\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\\\n  return (outOfRange(a.x, b.x, p.x) ||\\\\n          outOfRange(a.y, b.y, p.y));\\\\n}\\\\n\\\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\\\n  return (outOfRange(a.x, b.x, p.x) ||\\\\n          outOfRange(a.y, b.y, p.y) ||\\\\n          outOfRange(a.z, b.z, p.z));\\\\n}\\\\n\\\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\\\n}\\\\n\\\\nattribute vec3  position;\\\\nattribute float pointSize;\\\\nattribute vec4  id;\\\\n\\\\nuniform mat4 model, view, projection;\\\\nuniform vec3 clipBounds[2];\\\\n\\\\nvarying vec3 f_position;\\\\nvarying vec4 f_id;\\\\n\\\\nvoid main() {\\\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\\\n\\\\n    gl_Position = vec4(0.0, 0.0, 0.0, 0.0);\\\\n  } else {\\\\n    gl_Position  = projection * view * model * vec4(position, 1.0);\\\\n    gl_PointSize = pointSize;\\\\n  }\\\\n  f_id         = id;\\\\n  f_position   = position;\\\\n}\\\"]),p=n([\\\"precision highp float;\\\\n#define GLSLIFY 1\\\\n\\\\nattribute vec3 position;\\\\n\\\\nuniform mat4 model, view, projection;\\\\n\\\\nvoid main() {\\\\n  gl_Position = projection * view * model * vec4(position, 1.0);\\\\n}\\\"]),d=n([\\\"precision highp float;\\\\n#define GLSLIFY 1\\\\n\\\\nuniform vec3 contourColor;\\\\n\\\\nvoid main() {\\\\n  gl_FragColor = vec4(contourColor, 1.0);\\\\n}\\\\n\\\"]);r.meshShader={vertex:i,fragment:a,attributes:[{name:\\\"position\\\",type:\\\"vec3\\\"},{name:\\\"normal\\\",type:\\\"vec3\\\"},{name:\\\"color\\\",type:\\\"vec4\\\"},{name:\\\"uv\\\",type:\\\"vec2\\\"}]},r.wireShader={vertex:o,fragment:s,attributes:[{name:\\\"position\\\",type:\\\"vec3\\\"},{name:\\\"color\\\",type:\\\"vec4\\\"},{name:\\\"uv\\\",type:\\\"vec2\\\"}]},r.pointShader={vertex:l,fragment:c,attributes:[{name:\\\"position\\\",type:\\\"vec3\\\"},{name:\\\"color\\\",type:\\\"vec4\\\"},{name:\\\"uv\\\",type:\\\"vec2\\\"},{name:\\\"pointSize\\\",type:\\\"float\\\"}]},r.pickShader={vertex:u,fragment:f,attributes:[{name:\\\"position\\\",type:\\\"vec3\\\"},{name:\\\"id\\\",type:\\\"vec4\\\"}]},r.pointPickShader={vertex:h,fragment:f,attributes:[{name:\\\"position\\\",type:\\\"vec3\\\"},{name:\\\"pointSize\\\",type:\\\"float\\\"},{name:\\\"id\\\",type:\\\"vec4\\\"}]},r.contourShader={vertex:p,fragment:d,attributes:[{name:\\\"position\\\",type:\\\"vec3\\\"}]}},{glslify:434}],307:[function(t,e,r){\\\"use strict\\\";var n=t(\\\"gl-shader\\\"),i=t(\\\"gl-buffer\\\"),a=t(\\\"gl-vao\\\"),o=t(\\\"gl-texture2d\\\"),s=t(\\\"normals\\\"),l=t(\\\"gl-mat4/multiply\\\"),c=t(\\\"gl-mat4/invert\\\"),u=t(\\\"ndarray\\\"),f=t(\\\"colormap\\\"),h=t(\\\"simplicial-complex-contour\\\"),p=t(\\\"typedarray-pool\\\"),d=t(\\\"./lib/shaders\\\"),m=t(\\\"./lib/closest-point\\\"),g=d.meshShader,v=d.wireShader,y=d.pointShader,x=d.pickShader,b=d.pointPickShader,_=d.contourShader,w=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function T(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,m,g,v,y,x,b,_,T,k,M,A,S){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.lineShader=n,this.pointShader=i,this.pickShader=a,this.pointPickShader=o,this.contourShader=s,this.trianglePositions=l,this.triangleColors=u,this.triangleNormals=h,this.triangleUVs=f,this.triangleIds=c,this.triangleVAO=p,this.triangleCount=0,this.lineWidth=1,this.edgePositions=d,this.edgeColors=g,this.edgeUVs=v,this.edgeIds=m,this.edgeVAO=y,this.edgeCount=0,this.pointPositions=x,this.pointColors=_,this.pointUVs=T,this.pointSizes=k,this.pointIds=b,this.pointVAO=M,this.pointCount=0,this.contourLineWidth=1,this.contourPositions=A,this.contourVAO=S,this.contourCount=0,this.contourColor=[0,0,0],this.contourEnable=!0,this.pickVertex=!0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.hasAlpha=!1,this.opacityscale=!1,this._model=w,this._view=w,this._projection=w,this._resolution=[1,1]}var k=T.prototype;function M(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;r<e.length;++r){if(e.length<2)return 1;if(e[r][0]===t)return e[r][1];if(e[r][0]>t&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}function A(t){var e=n(t,g.vertex,g.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.normal.location=4,e}function S(t){var e=n(t,v.vertex,v.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e}function E(t){var e=n(t,y.vertex,y.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.pointSize.location=4,e}function L(t){var e=n(t,x.vertex,x.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e}function C(t){var e=n(t,b.vertex,b.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e.attributes.pointSize.location=4,e}function P(t){var e=n(t,_.vertex,_.fragment);return e.attributes.position.location=0,e}k.isOpaque=function(){return!this.hasAlpha},k.isTransparent=function(){return this.hasAlpha},k.pickSlots=1,k.setPickBase=function(t){this.pickId=t},k.highlight=function(t){if(t&&this.contourEnable){for(var e=h(this.cells,this.intensity,t.intensity),r=e.cells,n=e.vertexIds,i=e.vertexWeights,a=r.length,o=p.mallocFloat32(6*a),s=0,l=0;l<a;++l)for(var c=r[l],u=0;u<2;++u){var f=c[0];2===c.length&&(f=c[u]);for(var d=n[f][0],m=n[f][1],g=i[f],v=1-g,y=this.positions[d],x=this.positions[m],b=0;b<3;++b)o[s++]=g*y[b]+v*x[b]}this.contourCount=s/3|0,this.contourPositions.update(o.subarray(0,s)),p.free(o)}else this.contourCount=0},k.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,\\\"contourEnable\\\"in t&&(this.contourEnable=t.contourEnable),\\\"contourColor\\\"in t&&(this.contourColor=t.contourColor),\\\"lineWidth\\\"in t&&(this.lineWidth=t.lineWidth),\\\"lightPosition\\\"in t&&(this.lightPosition=t.lightPosition),this.hasAlpha=!1,\\\"opacity\\\"in t&&(this.opacity=t.opacity,this.opacity<1&&(this.hasAlpha=!0)),\\\"opacityscale\\\"in t&&(this.opacityscale=t.opacityscale,this.hasAlpha=!0),\\\"ambient\\\"in t&&(this.ambientLight=t.ambient),\\\"diffuse\\\"in t&&(this.diffuseLight=t.diffuse),\\\"specular\\\"in t&&(this.specularLight=t.specular),\\\"roughness\\\"in t&&(this.roughness=t.roughness),\\\"fresnel\\\"in t&&(this.fresnel=t.fresnel),t.texture?(this.texture.dispose(),this.texture=o(e,t.texture)):t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(function(t,e){for(var r=f({colormap:t,nshades:256,format:\\\"rgba\\\"}),n=new Uint8Array(1024),i=0;i<256;++i){for(var a=r[i],o=0;o<3;++o)n[4*i+o]=a[o];n[4*i+3]=e?255*M(i/255,e):255*a[3]}return u(n,[256,256,4],[4,0,1])}(t.colormap,this.opacityscale)),this.texture.generateMipmap());var r=t.cells,n=t.positions;if(n&&r){var i=[],a=[],l=[],c=[],h=[],p=[],d=[],m=[],g=[],v=[],y=[],x=[],b=[],_=[];this.cells=r,this.positions=n;var w=t.vertexNormals,T=t.cellNormals,k=void 0===t.vertexNormalsEpsilon?1e-6:t.vertexNormalsEpsilon,A=void 0===t.faceNormalsEpsilon?1e-6:t.faceNormalsEpsilon;t.useFacetNormals&&!T&&(T=s.faceNormals(r,n,A)),T||w||(w=s.vertexNormals(r,n,k));var S=t.vertexColors,E=t.cellColors,L=t.meshColor||[1,1,1,1],C=t.vertexUVs,P=t.vertexIntensity,I=t.cellUVs,O=t.cellIntensity,z=1/0,D=-1/0;if(!C&&!I)if(P)if(t.vertexIntensityBounds)z=+t.vertexIntensityBounds[0],D=+t.vertexIntensityBounds[1];else for(var R=0;R<P.length;++R){var F=P[R];z=Math.min(z,F),D=Math.max(D,F)}else if(O)if(t.cellIntensityBounds)z=+t.cellIntensityBounds[0],D=+t.cellIntensityBounds[1];else for(R=0;R<O.length;++R){F=O[R];z=Math.min(z,F),D=Math.max(D,F)}else for(R=0;R<n.length;++R){F=n[R][2];z=Math.min(z,F),D=Math.max(D,F)}this.intensity=P||(O||function(t){for(var e=t.length,r=new Array(e),n=0;n<e;++n)r[n]=t[n][2];return r}(n)),this.pickVertex=!(O||E);var B=t.pointSizes,N=t.pointSize||1;this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(R=0;R<n.length;++R)for(var j=n[R],U=0;U<3;++U)!isNaN(j[U])&&isFinite(j[U])&&(this.bounds[0][U]=Math.min(this.bounds[0][U],j[U]),this.bounds[1][U]=Math.max(this.bounds[1][U],j[U]));var V=0,q=0,H=0;t:for(R=0;R<r.length;++R){var G=r[R];switch(G.length){case 1:for(j=n[W=G[0]],U=0;U<3;++U)if(isNaN(j[U])||!isFinite(j[U]))continue t;v.push(j[0],j[1],j[2]),X=S?S[W]:E?E[R]:L,this.opacityscale&&P?a.push(X[0],X[1],X[2],this.opacity*M((P[W]-z)/(D-z),this.opacityscale)):3===X.length?y.push(X[0],X[1],X[2],this.opacity):(y.push(X[0],X[1],X[2],X[3]*this.opacity),X[3]<1&&(this.hasAlpha=!0)),Z=C?C[W]:P?[(P[W]-z)/(D-z),0]:I?I[R]:O?[(O[R]-z)/(D-z),0]:[(j[2]-z)/(D-z),0],x.push(Z[0],Z[1]),B?b.push(B[W]):b.push(N),_.push(R),H+=1;break;case 2:for(U=0;U<2;++U){j=n[W=G[U]];for(var Y=0;Y<3;++Y)if(isNaN(j[Y])||!isFinite(j[Y]))continue t}for(U=0;U<2;++U){j=n[W=G[U]];p.push(j[0],j[1],j[2]),X=S?S[W]:E?E[R]:L,this.opacityscale&&P?a.push(X[0],X[1],X[2],this.opacity*M((P[W]-z)/(D-z),this.opacityscale)):3===X.length?d.push(X[0],X[1],X[2],this.opacity):(d.push(X[0],X[1],X[2],X[3]*this.opacity),X[3]<1&&(this.hasAlpha=!0)),Z=C?C[W]:P?[(P[W]-z)/(D-z),0]:I?I[R]:O?[(O[R]-z)/(D-z),0]:[(j[2]-z)/(D-z),0],m.push(Z[0],Z[1]),g.push(R)}q+=1;break;case 3:for(U=0;U<3;++U)for(j=n[W=G[U]],Y=0;Y<3;++Y)if(isNaN(j[Y])||!isFinite(j[Y]))continue t;for(U=0;U<3;++U){var W,X,Z,J;j=n[W=G[2-U]];i.push(j[0],j[1],j[2]),(X=S?S[W]:E?E[R]:L)?this.opacityscale&&P?a.push(X[0],X[1],X[2],this.opacity*M((P[W]-z)/(D-z),this.opacityscale)):3===X.length?a.push(X[0],X[1],X[2],this.opacity):(a.push(X[0],X[1],X[2],X[3]*this.opacity),X[3]<1&&(this.hasAlpha=!0)):a.push(.5,.5,.5,1),Z=C?C[W]:P?[(P[W]-z)/(D-z),0]:I?I[R]:O?[(O[R]-z)/(D-z),0]:[(j[2]-z)/(D-z),0],c.push(Z[0],Z[1]),J=w?w[W]:T[R],l.push(J[0],J[1],J[2]),h.push(R)}V+=1}}this.pointCount=H,this.edgeCount=q,this.triangleCount=V,this.pointPositions.update(v),this.pointColors.update(y),this.pointUVs.update(x),this.pointSizes.update(b),this.pointIds.update(new Uint32Array(_)),this.edgePositions.update(p),this.edgeColors.update(d),this.edgeUVs.update(m),this.edgeIds.update(new Uint32Array(g)),this.trianglePositions.update(i),this.triangleColors.update(a),this.triangleUVs.update(c),this.triangleNormals.update(l),this.triangleIds.update(new Uint32Array(h))}},k.drawTransparent=k.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,i=t.projection||w,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);var s={model:r,view:n,projection:i,inverseModel:w.slice(),clipBounds:a,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],contourColor:this.contourColor,texture:0};s.inverseModel=c(s.inverseModel,s.model),e.disable(e.CULL_FACE),this.texture.bind(0);var u=new Array(16);l(u,s.view,s.model),l(u,s.projection,u),c(u,u);for(o=0;o<3;++o)s.eyePosition[o]=u[12+o]/u[15];var f,h=u[15];for(o=0;o<3;++o)h+=this.lightPosition[o]*u[4*o+3];for(o=0;o<3;++o){for(var p=u[12+o],d=0;d<3;++d)p+=u[4*d+o]*this.lightPosition[d];s.lightPosition[o]=p/h}this.triangleCount>0&&((f=this.triShader).bind(),f.uniforms=s,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind());this.edgeCount>0&&this.lineWidth>0&&((f=this.lineShader).bind(),f.uniforms=s,this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind());this.pointCount>0&&((f=this.pointShader).bind(),f.uniforms=s,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind());this.contourEnable&&this.contourCount>0&&this.contourLineWidth>0&&((f=this.contourShader).bind(),f.uniforms=s,this.contourVAO.bind(),e.drawArrays(e.LINES,0,this.contourCount),this.contourVAO.unbind())},k.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,i=t.projection||w,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(i),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s,l={model:r,view:n,projection:i,clipBounds:a,pickId:this.pickId/255};((s=this.pickShader).bind(),s.uniforms=l,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()),this.edgeCount>0&&(this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind()),this.pointCount>0)&&((s=this.pointPickShader).bind(),s.uniforms=l,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind())},k.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;for(var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions,i=new Array(r.length),a=0;a<r.length;++a)i[a]=n[r[a]];var o=t.coord[0],s=t.coord[1];if(!this.pickVertex){var l=this.positions[r[0]],c=this.positions[r[1]],u=this.positions[r[2]],f=[(l[0]+c[0]+u[0])/3,(l[1]+c[1]+u[1])/3,(l[2]+c[2]+u[2])/3];return{_cellCenter:!0,position:[o,s],index:e,cell:r,cellId:e,intensity:this.intensity[e],dataCoordinate:f}}var h=m(i,[o*this.pixelRatio,this._resolution[1]-s*this.pixelRatio],this._model,this._view,this._projection,this._resolution);if(!h)return null;var p=h[2],d=0;for(a=0;a<r.length;++a)d+=p[a]*this.intensity[r[a]];return{position:h[1],index:r[h[0]],cell:r,cellId:e,intensity:d,dataCoordinate:this.positions[r[h[0]]]}},k.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.lineShader.dispose(),this.pointShader.dispose(),this.pickShader.dispose(),this.pointPickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleNormals.dispose(),this.triangleIds.dispose(),this.edgeVAO.dispose(),this.edgePositions.dispose(),this.edgeColors.dispose(),this.edgeUVs.dispose(),this.edgeIds.dispose(),this.pointVAO.dispose(),this.pointPositions.dispose(),this.pointColors.dispose(),this.pointUVs.dispose(),this.pointSizes.dispose(),this.pointIds.dispose(),this.contourVAO.dispose(),this.contourPositions.dispose(),this.contourShader.dispose()},e.exports=function(t,e){1===arguments.length&&(t=(e=t).gl);var r=t.getExtension(\\\"OES_standard_derivatives\\\")||t.getExtension(\\\"MOZ_OES_standard_derivatives\\\")||t.getExtension(\\\"WEBKIT_OES_standard_derivatives\\\");if(!r)throw new Error(\\\"derivatives not supported\\\");var n=A(t),s=S(t),l=E(t),c=L(t),f=C(t),h=P(t),p=o(t,u(new Uint8Array([255,255,255,255]),[1,1,4]));p.generateMipmap(),p.minFilter=t.LINEAR_MIPMAP_LINEAR,p.magFilter=t.LINEAR;var d=i(t),m=i(t),g=i(t),v=i(t),y=i(t),x=a(t,[{buffer:d,type:t.FLOAT,size:3},{buffer:y,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:m,type:t.FLOAT,size:4},{buffer:g,type:t.FLOAT,size:2},{buffer:v,type:t.FLOAT,size:3}]),b=i(t),_=i(t),w=i(t),k=i(t),M=a(t,[{buffer:b,type:t.FLOAT,size:3},{buffer:k,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:_,type:t.FLOAT,size:4},{buffer:w,type:t.FLOAT,size:2}]),I=i(t),O=i(t),z=i(t),D=i(t),R=i(t),F=a(t,[{buffer:I,type:t.FLOAT,size:3},{buffer:R,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:O,type:t.FLOAT,size:4},{buffer:z,type:t.FLOAT,size:2},{buffer:D,type:t.FLOAT,size:1}]),B=i(t),N=a(t,[{buffer:B,type:t.FLOAT,size:3}]),j=new T(t,p,n,s,l,c,f,h,d,y,m,g,v,x,b,k,_,w,M,I,R,O,z,D,F,B,N);return j.update(e),j}},{\\\"./lib/closest-point\\\":305,\\\"./lib/shaders\\\":306,colormap:133,\\\"gl-buffer\\\":259,\\\"gl-mat4/invert\\\":291,\\\"gl-mat4/multiply\\\":293,\\\"gl-shader\\\":331,\\\"gl-texture2d\\\":348,\\\"gl-vao\\\":353,ndarray:475,normals:478,\\\"simplicial-complex-contour\\\":549,\\\"typedarray-pool\\\":609}],308:[function(t,e,r){\\\"use strict\\\";e.exports=function(t){var e=t.gl,r=n(e,[0,0,0,1,1,0,1,1]),s=i(e,a.boxVert,a.lineFrag);return new o(t,r,s)};var n=t(\\\"gl-buffer\\\"),i=t(\\\"gl-shader\\\"),a=t(\\\"./shaders\\\");function o(t,e,r){this.plot=t,this.vbo=e,this.shader=r}var s,l,c=o.prototype;c.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},c.drawBox=(s=[0,0],l=[0,0],function(t,e,r,n,i){var a=this.plot,o=this.shader,c=a.gl;s[0]=t,s[1]=e,l[0]=r,l[1]=n,o.uniforms.lo=s,o.uniforms.hi=l,o.uniforms.color=i,c.drawArrays(c.TRIANGLE_STRIP,0,4)}),c.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},{\\\"./shaders\\\":311,\\\"gl-buffer\\\":259,\\\"gl-shader\\\":331}],309:[function(t,e,r){\\\"use strict\\\";e.exports=function(t){var e=t.gl,r=n(e),a=i(e,o.gridVert,o.gridFrag),l=i(e,o.tickVert,o.gridFrag);return new s(t,r,a,l)};var n=t(\\\"gl-buffer\\\"),i=t(\\\"gl-shader\\\"),a=t(\\\"binary-search-bounds\\\"),o=t(\\\"./shaders\\\");function s(t,e,r,n){this.plot=t,this.vbo=e,this.shader=r,this.tickShader=n,this.ticks=[[],[]]}function l(t,e){return t-e}var c,u,f,h,p,d=s.prototype;d.draw=(c=[0,0],u=[0,0],f=[0,0],function(){for(var t=this.plot,e=this.vbo,r=this.shader,n=this.ticks,i=t.gl,a=t._tickBounds,o=t.dataBox,s=t.viewBox,l=t.gridLineWidth,h=t.gridLineColor,p=t.gridLineEnable,d=t.pixelRatio,m=0;m<2;++m){var g=a[m],v=a[m+2]-g,y=.5*(o[m+2]+o[m]),x=o[m+2]-o[m];u[m]=2*v/x,c[m]=2*(g-y)/x}r.bind(),e.bind(),r.attributes.dataCoord.pointer(),r.uniforms.dataShift=c,r.uniforms.dataScale=u;var b=0;for(m=0;m<2;++m){f[0]=f[1]=0,f[m]=1,r.uniforms.dataAxis=f,r.uniforms.lineWidth=l[m]/(s[m+2]-s[m])*d,r.uniforms.color=h[m];var _=6*n[m].length;p[m]&&_&&i.drawArrays(i.TRIANGLES,b,_),b+=_}}),d.drawTickMarks=function(){var t=[0,0],e=[0,0],r=[1,0],n=[0,1],i=[0,0],o=[0,0];return function(){for(var s=this.plot,c=this.vbo,u=this.tickShader,f=this.ticks,h=s.gl,p=s._tickBounds,d=s.dataBox,m=s.viewBox,g=s.pixelRatio,v=s.screenBox,y=v[2]-v[0],x=v[3]-v[1],b=m[2]-m[0],_=m[3]-m[1],w=0;w<2;++w){var T=p[w],k=p[w+2]-T,M=.5*(d[w+2]+d[w]),A=d[w+2]-d[w];e[w]=2*k/A,t[w]=2*(T-M)/A}e[0]*=b/y,t[0]*=b/y,e[1]*=_/x,t[1]*=_/x,u.bind(),c.bind(),u.attributes.dataCoord.pointer();var S=u.uniforms;S.dataShift=t,S.dataScale=e;var E=s.tickMarkLength,L=s.tickMarkWidth,C=s.tickMarkColor,P=6*f[0].length,I=Math.min(a.ge(f[0],(d[0]-p[0])/(p[2]-p[0]),l),f[0].length),O=Math.min(a.gt(f[0],(d[2]-p[0])/(p[2]-p[0]),l),f[0].length),z=0+6*I,D=6*Math.max(0,O-I),R=Math.min(a.ge(f[1],(d[1]-p[1])/(p[3]-p[1]),l),f[1].length),F=Math.min(a.gt(f[1],(d[3]-p[1])/(p[3]-p[1]),l),f[1].length),B=P+6*R,N=6*Math.max(0,F-R);i[0]=2*(m[0]-E[1])/y-1,i[1]=(m[3]+m[1])/x-1,o[0]=E[1]*g/y,o[1]=L[1]*g/x,N&&(S.color=C[1],S.tickScale=o,S.dataAxis=n,S.screenOffset=i,h.drawArrays(h.TRIANGLES,B,N)),i[0]=(m[2]+m[0])/y-1,i[1]=2*(m[1]-E[0])/x-1,o[0]=L[0]*g/y,o[1]=E[0]*g/x,D&&(S.color=C[0],S.tickScale=o,S.dataAxis=r,S.screenOffset=i,h.drawArrays(h.TRIANGLES,z,D)),i[0]=2*(m[2]+E[3])/y-1,i[1]=(m[3]+m[1])/x-1,o[0]=E[3]*g/y,o[1]=L[3]*g/x,N&&(S.color=C[3],S.tickScale=o,S.dataAxis=n,S.screenOffset=i,h.drawArrays(h.TRIANGLES,B,N)),i[0]=(m[2]+m[0])/y-1,i[1]=2*(m[3]+E[2])/x-1,o[0]=L[2]*g/y,o[1]=E[2]*g/x,D&&(S.color=C[2],S.tickScale=o,S.dataAxis=r,S.screenOffset=i,h.drawArrays(h.TRIANGLES,z,D))}}(),d.update=(h=[1,1,-1,-1,1,-1],p=[1,-1,1,1,-1,-1],function(t){for(var e=t.ticks,r=t.bounds,n=new Float32Array(18*(e[0].length+e[1].length)),i=(this.plot.zeroLineEnable,0),a=[[],[]],o=0;o<2;++o)for(var s=a[o],l=e[o],c=r[o],u=r[o+2],f=0;f<l.length;++f){var d=(l[f].x-c)/(u-c);s.push(d);for(var m=0;m<6;++m)n[i++]=d,n[i++]=h[m],n[i++]=p[m]}this.ticks=a,this.vbo.update(n)}),d.dispose=function(){this.vbo.dispose(),this.shader.dispose(),this.tickShader.dispose()}},{\\\"./shaders\\\":311,\\\"binary-search-bounds\\\":99,\\\"gl-buffer\\\":259,\\\"gl-shader\\\":331}],310:[function(t,e,r){\\\"use strict\\\";e.exports=function(t){var e=t.gl,r=n(e,[-1,-1,-1,1,1,-1,1,1]),s=i(e,a.lineVert,a.lineFrag);return new o(t,r,s)};var n=t(\\\"gl-buffer\\\"),i=t(\\\"gl-shader\\\"),a=t(\\\"./shaders\\\");function o(t,e,r){this.plot=t,this.vbo=e,this.shader=r}var s,l,c=o.prototype;c.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},c.drawLine=(s=[0,0],l=[0,0],function(t,e,r,n,i,a){var o=this.plot,c=this.shader,u=o.gl;s[0]=t,s[1]=e,l[0]=r,l[1]=n,c.uniforms.start=s,c.uniforms.end=l,c.uniforms.width=i*o.pixelRatio,c.uniforms.color=a,u.drawArrays(u.TRIANGLE_STRIP,0,4)}),c.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},{\\\"./shaders\\\":311,\\\"gl-buffer\\\":259,\\\"gl-shader\\\":331}],311:[function(t,e,r){\\\"use strict\\\";var n=t(\\\"glslify\\\"),i=n([\\\"precision lowp float;\\\\n#define GLSLIFY 1\\\\nuniform vec4 color;\\\\nvoid main() {\\\\n  gl_FragColor = vec4(color.xyz * color.w, color.w);\\\\n}\\\\n\\\"]);e.exports={lineVert:n([\\\"precision mediump float;\\\\n#define GLSLIFY 1\\\\n\\\\nattribute vec2 coord;\\\\n\\\\nuniform vec4 screenBox;\\\\nuniform vec2 start, end;\\\\nuniform float width;\\\\n\\\\nvec2 perp(vec2 v) {\\\\n  return vec2(v.y, -v.x);\\\\n}\\\\n\\\\nvec2 screen(vec2 v) {\\\\n  return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\\\\n}\\\\n\\\\nvoid main() {\\\\n  vec2 delta = normalize(perp(start - end));\\\\n  vec2 offset = mix(start, end, 0.5 * (coord.y+1.0));\\\\n  gl_Position = vec4(screen(offset + 0.5 * width * delta * coord.x), 0, 1);\\\\n}\\\\n\\\"]),lineFrag:i,textVert:n([\\\"#define GLSLIFY 1\\\\nattribute vec3 textCoordinate;\\\\n\\\\nuniform vec2 dataScale, dataShift, dataAxis, screenOffset, textScale;\\\\nuniform float angle;\\\\n\\\\nvoid main() {\\\\n  float dataOffset  = textCoordinate.z;\\\\n  vec2 glyphOffset  = textCoordinate.xy;\\\\n  mat2 glyphMatrix = mat2(cos(angle), sin(angle), -sin(angle), cos(angle));\\\\n  vec2 screenCoordinate = dataAxis * (dataScale * dataOffset + dataShift) +\\\\n    glyphMatrix * glyphOffset * textScale + screenOffset;\\\\n  gl_Position = vec4(screenCoordinate, 0, 1);\\\\n}\\\\n\\\"]),textFrag:i,gridVert:n([\\\"precision mediump float;\\\\n#define GLSLIFY 1\\\\n\\\\nattribute vec3 dataCoord;\\\\n\\\\nuniform vec2 dataAxis, dataShift, dataScale;\\\\nuniform float lineWidth;\\\\n\\\\nvoid main() {\\\\n  vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\\\\n  pos += 10.0 * dataCoord.y * vec2(dataAxis.y, -dataAxis.x) + dataCoord.z * lineWidth;\\\\n  gl_Position = vec4(pos, 0, 1);\\\\n}\\\\n\\\"]),gridFrag:i,boxVert:n([\\\"precision mediump float;\\\\n#define GLSLIFY 1\\\\n\\\\nattribute vec2 coord;\\\\n\\\\nuniform vec4 screenBox;\\\\nuniform vec2 lo, hi;\\\\n\\\\nvec2 screen(vec2 v) {\\\\n  return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\\\\n}\\\\n\\\\nvoid main() {\\\\n  gl_Position = vec4(screen(mix(lo, hi, coord)), 0, 1);\\\\n}\\\\n\\\"]),tickVert:n([\\\"precision mediump float;\\\\n#define GLSLIFY 1\\\\n\\\\nattribute vec3 dataCoord;\\\\n\\\\nuniform vec2 dataAxis, dataShift, dataScale, screenOffset, tickScale;\\\\n\\\\nvoid main() {\\\\n  vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\\\\n  gl_Position = vec4(pos + tickScale*dataCoord.yz + screenOffset, 0, 1);\\\\n}\\\\n\\\"])}},{glslify:313}],312:[function(t,e,r){\\\"use strict\\\";e.exports=function(t){var e=t.gl,r=n(e),a=i(e,s.textVert,s.textFrag);return new l(t,r,a)};var n=t(\\\"gl-buffer\\\"),i=t(\\\"gl-shader\\\"),a=t(\\\"text-cache\\\"),o=t(\\\"binary-search-bounds\\\"),s=t(\\\"./shaders\\\");function l(t,e,r){this.plot=t,this.vbo=e,this.shader=r,this.tickOffset=[[],[]],this.tickX=[[],[]],this.labelOffset=[0,0],this.labelCount=[0,0]}var c,u,f,h,p,d,m=l.prototype;m.drawTicks=(c=[0,0],u=[0,0],f=[0,0],function(t){var e=this.plot,r=this.shader,n=this.tickX[t],i=this.tickOffset[t],a=e.gl,s=e.viewBox,l=e.dataBox,h=e.screenBox,p=e.pixelRatio,d=e.tickEnable,m=e.tickPad,g=e.tickColor,v=e.tickAngle,y=e.labelEnable,x=e.labelPad,b=e.labelColor,_=e.labelAngle,w=this.labelOffset[t],T=this.labelCount[t],k=o.lt(n,l[t]),M=o.le(n,l[t+2]);c[0]=c[1]=0,c[t]=1,u[t]=(s[2+t]+s[t])/(h[2+t]-h[t])-1;var A=2/h[2+(1^t)]-h[1^t];u[1^t]=A*s[1^t]-1,d[t]&&(u[1^t]-=A*p*m[t],k<M&&i[M]>i[k]&&(r.uniforms.dataAxis=c,r.uniforms.screenOffset=u,r.uniforms.color=g[t],r.uniforms.angle=v[t],a.drawArrays(a.TRIANGLES,i[k],i[M]-i[k]))),y[t]&&T&&(u[1^t]-=A*p*x[t],r.uniforms.dataAxis=f,r.uniforms.screenOffset=u,r.uniforms.color=b[t],r.uniforms.angle=_[t],a.drawArrays(a.TRIANGLES,w,T)),u[1^t]=A*s[2+(1^t)]-1,d[t+2]&&(u[1^t]+=A*p*m[t+2],k<M&&i[M]>i[k]&&(r.uniforms.dataAxis=c,r.uniforms.screenOffset=u,r.uniforms.color=g[t+2],r.uniforms.angle=v[t+2],a.drawArrays(a.TRIANGLES,i[k],i[M]-i[k]))),y[t+2]&&T&&(u[1^t]+=A*p*x[t+2],r.uniforms.dataAxis=f,r.uniforms.screenOffset=u,r.uniforms.color=b[t+2],r.uniforms.angle=_[t+2],a.drawArrays(a.TRIANGLES,w,T))}),m.drawTitle=function(){var t=[0,0],e=[0,0];return function(){var r=this.plot,n=this.shader,i=r.gl,a=r.screenBox,o=r.titleCenter,s=r.titleAngle,l=r.titleColor,c=r.pixelRatio;if(this.titleCount){for(var u=0;u<2;++u)e[u]=2*(o[u]*c-a[u])/(a[2+u]-a[u])-1;n.bind(),n.uniforms.dataAxis=t,n.uniforms.screenOffset=e,n.uniforms.angle=s,n.uniforms.color=l,i.drawArrays(i.TRIANGLES,this.titleOffset,this.titleCount)}}}(),m.bind=(h=[0,0],p=[0,0],d=[0,0],function(){var t=this.plot,e=this.shader,r=t._tickBounds,n=t.dataBox,i=t.screenBox,a=t.viewBox;e.bind();for(var o=0;o<2;++o){var s=r[o],l=r[o+2]-s,c=.5*(n[o+2]+n[o]),u=n[o+2]-n[o],f=a[o],m=a[o+2]-f,g=i[o],v=i[o+2]-g;p[o]=2*l/u*m/v,h[o]=2*(s-c)/u*m/v}d[1]=2*t.pixelRatio/(i[3]-i[1]),d[0]=d[1]*(i[3]-i[1])/(i[2]-i[0]),e.uniforms.dataScale=p,e.uniforms.dataShift=h,e.uniforms.textScale=d,this.vbo.bind(),e.attributes.textCoordinate.pointer()}),m.update=function(t){var e,r,n,i,o,s=[],l=t.ticks,c=t.bounds;for(o=0;o<2;++o){var u=[Math.floor(s.length/3)],f=[-1/0],h=l[o];for(e=0;e<h.length;++e){var p=h[e],d=p.x,m=p.text,g=p.font||\\\"sans-serif\\\";i=p.fontSize||12;for(var v=1/(c[o+2]-c[o]),y=c[o],x=m.split(\\\"\\\\n\\\"),b=0;b<x.length;b++)for(n=a(g,x[b]).data,r=0;r<n.length;r+=2)s.push(n[r]*i,-n[r+1]*i-b*i*1.2,(d-y)*v);u.push(Math.floor(s.length/3)),f.push(d)}this.tickOffset[o]=u,this.tickX[o]=f}for(o=0;o<2;++o){for(this.labelOffset[o]=Math.floor(s.length/3),n=a(t.labelFont[o],t.labels[o],{textAlign:\\\"center\\\"}).data,i=t.labelSize[o],e=0;e<n.length;e+=2)s.push(n[e]*i,-n[e+1]*i,0);this.labelCount[o]=Math.floor(s.length/3)-this.labelOffset[o]}for(this.titleOffset=Math.floor(s.length/3),n=a(t.titleFont,t.title).data,i=t.titleSize,e=0;e<n.length;e+=2)s.push(n[e]*i,-n[e+1]*i,0);this.titleCount=Math.floor(s.length/3)-this.titleOffset,this.vbo.update(s)},m.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},{\\\"./shaders\\\":311,\\\"binary-search-bounds\\\":99,\\\"gl-buffer\\\":259,\\\"gl-shader\\\":331,\\\"text-cache\\\":588}],313:[function(t,e,r){arguments[4][257][0].apply(r,arguments)},{dup:257}],314:[function(t,e,r){\\\"use strict\\\";e.exports=function(t){var e=t.gl,r=n(e,[e.drawingBufferWidth,e.drawingBufferHeight]),c=new l(e,r);return c.grid=i(c),c.text=a(c),c.line=o(c),c.box=s(c),c.update(t),c};var n=t(\\\"gl-select-static\\\"),i=t(\\\"./lib/grid\\\"),a=t(\\\"./lib/text\\\"),o=t(\\\"./lib/line\\\"),s=t(\\\"./lib/box\\\");function l(t,e){this.gl=t,this.pickBuffer=e,this.screenBox=[0,0,t.drawingBufferWidth,t.drawingBufferHeight],this.viewBox=[0,0,0,0],this.dataBox=[-10,-10,10,10],this.gridLineEnable=[!0,!0],this.gridLineWidth=[1,1],this.gridLineColor=[[0,0,0,1],[0,0,0,1]],this.pixelRatio=1,this.tickMarkLength=[0,0,0,0],this.tickMarkWidth=[0,0,0,0],this.tickMarkColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[15,15,15,15],this.tickAngle=[0,0,0,0],this.tickEnable=[!0,!0,!0,!0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[15,15,15,15],this.labelAngle=[0,Math.PI/2,0,3*Math.PI/2],this.labelEnable=[!0,!0,!0,!0],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.titleCenter=[0,0],this.titleEnable=!0,this.titleAngle=0,this.titleColor=[0,0,0,1],this.borderColor=[0,0,0,0],this.backgroundColor=[0,0,0,0],this.zeroLineEnable=[!0,!0],this.zeroLineWidth=[4,4],this.zeroLineColor=[[0,0,0,1],[0,0,0,1]],this.borderLineEnable=[!0,!0,!0,!0],this.borderLineWidth=[2,2,2,2],this.borderLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.grid=null,this.text=null,this.line=null,this.box=null,this.objects=[],this.overlays=[],this._tickBounds=[1/0,1/0,-1/0,-1/0],this.static=!1,this.dirty=!1,this.pickDirty=!1,this.pickDelay=120,this.pickRadius=10,this._pickTimeout=null,this._drawPick=this.drawPick.bind(this),this._depthCounter=0}var c=l.prototype;function u(t){for(var e=t.slice(),r=0;r<e.length;++r)e[r]=e[r].slice();return e}function f(t,e){return t.x-e.x}c.setDirty=function(){this.dirty=this.pickDirty=!0},c.setOverlayDirty=function(){this.dirty=!0},c.nextDepthValue=function(){return this._depthCounter++/65536},c.draw=function(){var t=this.gl,e=this.screenBox,r=this.viewBox,n=this.dataBox,i=this.pixelRatio,a=this.grid,o=this.line,s=this.text,l=this.objects;if(this._depthCounter=0,this.pickDirty&&(this._pickTimeout&&clearTimeout(this._pickTimeout),this.pickDirty=!1,this._pickTimeout=setTimeout(this._drawPick,this.pickDelay)),this.dirty){if(this.dirty=!1,t.bindFramebuffer(t.FRAMEBUFFER,null),t.enable(t.SCISSOR_TEST),t.disable(t.DEPTH_TEST),t.depthFunc(t.LESS),t.depthMask(!1),t.enable(t.BLEND),t.blendEquation(t.FUNC_ADD,t.FUNC_ADD),t.blendFunc(t.ONE,t.ONE_MINUS_SRC_ALPHA),this.borderColor){t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]);var c=this.borderColor;t.clearColor(c[0]*c[3],c[1]*c[3],c[2]*c[3],c[3]),t.clear(t.COLOR_BUFFER_BIT|t.DEPTH_BUFFER_BIT)}t.scissor(r[0],r[1],r[2]-r[0],r[3]-r[1]),t.viewport(r[0],r[1],r[2]-r[0],r[3]-r[1]);var u=this.backgroundColor;t.clearColor(u[0]*u[3],u[1]*u[3],u[2]*u[3],u[3]),t.clear(t.COLOR_BUFFER_BIT),a.draw();var f=this.zeroLineEnable,h=this.zeroLineColor,p=this.zeroLineWidth;if(f[0]||f[1]){o.bind();for(var d=0;d<2;++d)if(f[d]&&n[d]<=0&&n[d+2]>=0){var m=e[d]-n[d]*(e[d+2]-e[d])/(n[d+2]-n[d]);0===d?o.drawLine(m,e[1],m,e[3],p[d],h[d]):o.drawLine(e[0],m,e[2],m,p[d],h[d])}}for(d=0;d<l.length;++d)l[d].draw();t.viewport(e[0],e[1],e[2]-e[0],e[3]-e[1]),t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]),this.grid.drawTickMarks(),o.bind();var g=this.borderLineEnable,v=this.borderLineWidth,y=this.borderLineColor;for(g[1]&&o.drawLine(r[0],r[1]-.5*v[1]*i,r[0],r[3]+.5*v[3]*i,v[1],y[1]),g[0]&&o.drawLine(r[0]-.5*v[0]*i,r[1],r[2]+.5*v[2]*i,r[1],v[0],y[0]),g[3]&&o.drawLine(r[2],r[1]-.5*v[1]*i,r[2],r[3]+.5*v[3]*i,v[3],y[3]),g[2]&&o.drawLine(r[0]-.5*v[0]*i,r[3],r[2]+.5*v[2]*i,r[3],v[2],y[2]),s.bind(),d=0;d<2;++d)s.drawTicks(d);this.titleEnable&&s.drawTitle();var x=this.overlays;for(d=0;d<x.length;++d)x[d].draw();t.disable(t.SCISSOR_TEST),t.disable(t.BLEND),t.depthMask(!0)}},c.drawPick=function(){if(!this.static){var t=this.pickBuffer;this.gl,this._pickTimeout=null,t.begin();for(var e=1,r=this.objects,n=0;n<r.length;++n)e=r[n].drawPick(e);t.end()}},c.pick=function(t,e){if(!this.static){var r=this.pixelRatio,n=this.pickPixelRatio,i=this.viewBox,a=0|Math.round((t-i[0]/r)*n),o=0|Math.round((e-i[1]/r)*n),s=this.pickBuffer.query(a,o,this.pickRadius);if(!s)return null;for(var l=s.id+(s.value[0]<<8)+(s.value[1]<<16)+(s.value[2]<<24),c=this.objects,u=0;u<c.length;++u){var f=c[u].pick(a,o,l);if(f)return f}return null}},c.setScreenBox=function(t){var e=this.screenBox,r=this.pixelRatio;e[0]=0|Math.round(t[0]*r),e[1]=0|Math.round(t[1]*r),e[2]=0|Math.round(t[2]*r),e[3]=0|Math.round(t[3]*r),this.setDirty()},c.setDataBox=function(t){var e=this.dataBox;(e[0]!==t[0]||e[1]!==t[1]||e[2]!==t[2]||e[3]!==t[3])&&(e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],this.setDirty())},c.setViewBox=function(t){var e=this.pixelRatio,r=this.viewBox;r[0]=0|Math.round(t[0]*e),r[1]=0|Math.round(t[1]*e),r[2]=0|Math.round(t[2]*e),r[3]=0|Math.round(t[3]*e);var n=this.pickPixelRatio;this.pickBuffer.shape=[0|Math.round((t[2]-t[0])*n),0|Math.round((t[3]-t[1])*n)],this.setDirty()},c.update=function(t){t=t||{};var e=this.gl;this.pixelRatio=t.pixelRatio||1;var r=this.pixelRatio;this.pickPixelRatio=Math.max(r,1),this.setScreenBox(t.screenBox||[0,0,e.drawingBufferWidth/r,e.drawingBufferHeight/r]);this.screenBox;this.setViewBox(t.viewBox||[.125*(this.screenBox[2]-this.screenBox[0])/r,.125*(this.screenBox[3]-this.screenBox[1])/r,.875*(this.screenBox[2]-this.screenBox[0])/r,.875*(this.screenBox[3]-this.screenBox[1])/r]);var n=this.viewBox,i=(n[2]-n[0])/(n[3]-n[1]);this.setDataBox(t.dataBox||[-10,-10/i,10,10/i]),this.borderColor=!1!==t.borderColor&&(t.borderColor||[0,0,0,0]).slice(),this.backgroundColor=(t.backgroundColor||[0,0,0,0]).slice(),this.gridLineEnable=(t.gridLineEnable||[!0,!0]).slice(),this.gridLineWidth=(t.gridLineWidth||[1,1]).slice(),this.gridLineColor=u(t.gridLineColor||[[.5,.5,.5,1],[.5,.5,.5,1]]),this.zeroLineEnable=(t.zeroLineEnable||[!0,!0]).slice(),this.zeroLineWidth=(t.zeroLineWidth||[4,4]).slice(),this.zeroLineColor=u(t.zeroLineColor||[[0,0,0,1],[0,0,0,1]]),this.tickMarkLength=(t.tickMarkLength||[0,0,0,0]).slice(),this.tickMarkWidth=(t.tickMarkWidth||[0,0,0,0]).slice(),this.tickMarkColor=u(t.tickMarkColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.titleCenter=(t.titleCenter||[.5*(n[0]+n[2])/r,(n[3]+120)/r]).slice(),this.titleEnable=!(\\\"titleEnable\\\"in t)||!!t.titleEnable,this.titleAngle=t.titleAngle||0,this.titleColor=(t.titleColor||[0,0,0,1]).slice(),this.labelPad=(t.labelPad||[15,15,15,15]).slice(),this.labelAngle=(t.labelAngle||[0,Math.PI/2,0,3*Math.PI/2]).slice(),this.labelEnable=(t.labelEnable||[!0,!0,!0,!0]).slice(),this.labelColor=u(t.labelColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.tickPad=(t.tickPad||[15,15,15,15]).slice(),this.tickAngle=(t.tickAngle||[0,0,0,0]).slice(),this.tickEnable=(t.tickEnable||[!0,!0,!0,!0]).slice(),this.tickColor=u(t.tickColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.borderLineEnable=(t.borderLineEnable||[!0,!0,!0,!0]).slice(),this.borderLineWidth=(t.borderLineWidth||[2,2,2,2]).slice(),this.borderLineColor=u(t.borderLineColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]);var a=t.ticks||[[],[]],o=this._tickBounds;o[0]=o[1]=1/0,o[2]=o[3]=-1/0;for(var s=0;s<2;++s){var l=a[s].slice(0);0!==l.length&&(l.sort(f),o[s]=Math.min(o[s],l[0].x),o[s+2]=Math.max(o[s+2],l[l.length-1].x))}this.grid.update({bounds:o,ticks:a}),this.text.update({bounds:o,ticks:a,labels:t.labels||[\\\"x\\\",\\\"y\\\"],labelSize:t.labelSize||[12,12],labelFont:t.labelFont||[\\\"sans-serif\\\",\\\"sans-serif\\\"],title:t.title||\\\"\\\",titleSize:t.titleSize||18,titleFont:t.titleFont||\\\"sans-serif\\\"}),this.static=!!t.static,this.setDirty()},c.dispose=function(){this.box.dispose(),this.grid.dispose(),this.text.dispose(),this.line.dispose();for(var t=this.objects.length-1;t>=0;--t)this.objects[t].dispose();this.objects.length=0;for(t=this.overlays.length-1;t>=0;--t)this.overlays[t].dispose();this.overlays.length=0,this.gl=null},c.addObject=function(t){this.objects.indexOf(t)<0&&(this.objects.push(t),this.setDirty())},c.removeObject=function(t){for(var e=this.objects,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setDirty();break}},c.addOverlay=function(t){this.overlays.indexOf(t)<0&&(this.overlays.push(t),this.setOverlayDirty())},c.removeOverlay=function(t){for(var e=this.overlays,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setOverlayDirty();break}}},{\\\"./lib/box\\\":308,\\\"./lib/grid\\\":309,\\\"./lib/line\\\":310,\\\"./lib/text\\\":312,\\\"gl-select-static\\\":330}],315:[function(t,e,r){\\\"use strict\\\";e.exports=function(t,e){t=t||document.body,e=e||{};var r=[.01,1/0];\\\"distanceLimits\\\"in e&&(r[0]=e.distanceLimits[0],r[1]=e.distanceLimits[1]);\\\"zoomMin\\\"in e&&(r[0]=e.zoomMin);\\\"zoomMax\\\"in e&&(r[1]=e.zoomMax);var c=i({center:e.center||[0,0,0],up:e.up||[0,1,0],eye:e.eye||[0,0,10],mode:e.mode||\\\"orbit\\\",distanceLimits:r}),u=[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],f=0,h=t.clientWidth,p=t.clientHeight,d={keyBindingMode:\\\"rotate\\\",enableWheel:!0,view:c,element:t,delay:e.delay||16,rotateSpeed:e.rotateSpeed||1,zoomSpeed:e.zoomSpeed||1,translateSpeed:e.translateSpeed||1,flipX:!!e.flipX,flipY:!!e.flipY,modes:c.modes,_ortho:e._ortho||e.projection&&\\\"orthographic\\\"===e.projection.type||!1,tick:function(){var e=n(),r=this.delay,i=e-2*r;c.idle(e-r),c.recalcMatrix(i),c.flush(e-(100+2*r));for(var a=!0,o=c.computedMatrix,s=0;s<16;++s)a=a&&u[s]===o[s],u[s]=o[s];var l=t.clientWidth===h&&t.clientHeight===p;return h=t.clientWidth,p=t.clientHeight,a?!l:(f=Math.exp(c.computedRadius[0]),!0)},lookAt:function(t,e,r){c.lookAt(c.lastT(),t,e,r)},rotate:function(t,e,r){c.rotate(c.lastT(),t,e,r)},pan:function(t,e,r){c.pan(c.lastT(),t,e,r)},translate:function(t,e,r){c.translate(c.lastT(),t,e,r)}};return Object.defineProperties(d,{matrix:{get:function(){return c.computedMatrix},set:function(t){return c.setMatrix(c.lastT(),t),c.computedMatrix},enumerable:!0},mode:{get:function(){return c.getMode()},set:function(t){var e=c.computedUp.slice(),r=c.computedEye.slice(),i=c.computedCenter.slice();if(c.setMode(t),\\\"turntable\\\"===t){var a=n();c._active.lookAt(a,r,i,e),c._active.lookAt(a+500,r,i,[0,0,1]),c._active.flush(a)}return c.getMode()},enumerable:!0},center:{get:function(){return c.computedCenter},set:function(t){return c.lookAt(c.lastT(),null,t),c.computedCenter},enumerable:!0},eye:{get:function(){return c.computedEye},set:function(t){return c.lookAt(c.lastT(),t),c.computedEye},enumerable:!0},up:{get:function(){return c.computedUp},set:function(t){return c.lookAt(c.lastT(),null,null,t),c.computedUp},enumerable:!0},distance:{get:function(){return f},set:function(t){return c.setDistance(c.lastT(),t),t},enumerable:!0},distanceLimits:{get:function(){return c.getDistanceLimits(r)},set:function(t){return c.setDistanceLimits(t),t},enumerable:!0}}),t.addEventListener(\\\"contextmenu\\\",(function(t){return t.preventDefault(),!1})),d._lastX=-1,d._lastY=-1,d._lastMods={shift:!1,control:!1,alt:!1,meta:!1},d.enableMouseListeners=function(){function e(e,r,i,a){var o=d.keyBindingMode;if(!1!==o){var s=\\\"rotate\\\"===o,l=\\\"pan\\\"===o,u=\\\"zoom\\\"===o,h=!!a.control,p=!!a.alt,m=!!a.shift,g=!!(1&e),v=!!(2&e),y=!!(4&e),x=1/t.clientHeight,b=x*(r-d._lastX),_=x*(i-d._lastY),w=d.flipX?1:-1,T=d.flipY?1:-1,k=Math.PI*d.rotateSpeed,M=n();if(-1!==d._lastX&&-1!==d._lastY&&((s&&g&&!h&&!p&&!m||g&&!h&&!p&&m)&&c.rotate(M,w*k*b,-T*k*_,0),(l&&g&&!h&&!p&&!m||v||g&&h&&!p&&!m)&&c.pan(M,-d.translateSpeed*b*f,d.translateSpeed*_*f,0),u&&g&&!h&&!p&&!m||y||g&&!h&&p&&!m)){var A=-d.zoomSpeed*_/window.innerHeight*(M-c.lastT())*100;c.pan(M,0,0,f*(Math.exp(A)-1))}return d._lastX=r,d._lastY=i,d._lastMods=a,!0}}d.mouseListener=a(t,e),t.addEventListener(\\\"touchstart\\\",(function(r){var n=s(r.changedTouches[0],t);e(0,n[0],n[1],d._lastMods),e(1,n[0],n[1],d._lastMods)}),!!l&&{passive:!0}),t.addEventListener(\\\"touchmove\\\",(function(r){var n=s(r.changedTouches[0],t);e(1,n[0],n[1],d._lastMods),r.preventDefault()}),!!l&&{passive:!1}),t.addEventListener(\\\"touchend\\\",(function(t){e(0,d._lastX,d._lastY,d._lastMods)}),!!l&&{passive:!0}),d.wheelListener=o(t,(function(t,e){if(!1!==d.keyBindingMode&&d.enableWheel){var r=d.flipX?1:-1,i=d.flipY?1:-1,a=n();if(Math.abs(t)>Math.abs(e))c.rotate(a,0,0,-t*r*Math.PI*d.rotateSpeed/window.innerWidth);else if(!d._ortho){var o=-d.zoomSpeed*i*e/window.innerHeight*(a-c.lastT())/20;c.pan(a,0,0,f*(Math.exp(o)-1))}}}),!0)},d.enableMouseListeners(),d};var n=t(\\\"right-now\\\"),i=t(\\\"3d-view\\\"),a=t(\\\"mouse-change\\\"),o=t(\\\"mouse-wheel\\\"),s=t(\\\"mouse-event-offset\\\"),l=t(\\\"has-passive-events\\\")},{\\\"3d-view\\\":55,\\\"has-passive-events\\\":436,\\\"mouse-change\\\":462,\\\"mouse-event-offset\\\":463,\\\"mouse-wheel\\\":465,\\\"right-now\\\":534}],316:[function(t,e,r){var n=t(\\\"glslify\\\"),i=t(\\\"gl-shader\\\"),a=n([\\\"precision mediump float;\\\\n#define GLSLIFY 1\\\\nattribute vec2 position;\\\\nvarying vec2 uv;\\\\nvoid main() {\\\\n  uv = position;\\\\n  gl_Position = vec4(position, 0, 1);\\\\n}\\\"]),o=n([\\\"precision mediump float;\\\\n#define GLSLIFY 1\\\\n\\\\nuniform sampler2D accumBuffer;\\\\nvarying vec2 uv;\\\\n\\\\nvoid main() {\\\\n  vec4 accum = texture2D(accumBuffer, 0.5 * (uv + 1.0));\\\\n  gl_FragColor = min(vec4(1,1,1,1), accum);\\\\n}\\\"]);e.exports=function(t){return i(t,a,o,null,[{name:\\\"position\\\",type:\\\"vec2\\\"}])}},{\\\"gl-shader\\\":331,glslify:317}],317:[function(t,e,r){arguments[4][257][0].apply(r,arguments)},{dup:257}],318:[function(t,e,r){\\\"use strict\\\";var n=t(\\\"./camera.js\\\"),i=t(\\\"gl-axes3d\\\"),a=t(\\\"gl-axes3d/properties\\\"),o=t(\\\"gl-spikes3d\\\"),s=t(\\\"gl-select-static\\\"),l=t(\\\"gl-fbo\\\"),c=t(\\\"a-big-triangle\\\"),u=t(\\\"mouse-change\\\"),f=t(\\\"gl-mat4/perspective\\\"),h=t(\\\"gl-mat4/ortho\\\"),p=t(\\\"./lib/shader\\\"),d=t(\\\"is-mobile\\\")({tablet:!0,featureDetect:!0});function m(){this.mouse=[-1,-1],this.screen=null,this.distance=1/0,this.index=null,this.dataCoordinate=null,this.dataPosition=null,this.object=null,this.data=null}function g(t){var e=Math.round(Math.log(Math.abs(t))/Math.log(10));if(e<0){var r=Math.round(Math.pow(10,-e));return Math.ceil(t*r)/r}if(e>0){r=Math.round(Math.pow(10,e));return Math.ceil(t/r)*r}return Math.ceil(t)}function v(t){return\\\"boolean\\\"!=typeof t||t}e.exports={createScene:function(t){(t=t||{}).camera=t.camera||{};var e=t.canvas;if(!e){if(e=document.createElement(\\\"canvas\\\"),t.container)t.container.appendChild(e);else document.body.appendChild(e)}var r=t.gl;r||(t.glOptions&&(d=!!t.glOptions.preserveDrawingBuffer),r=function(t,e){var r=null;try{(r=t.getContext(\\\"webgl\\\",e))||(r=t.getContext(\\\"experimental-webgl\\\",e))}catch(t){return null}return r}(e,t.glOptions||{premultipliedAlpha:!0,antialias:!0,preserveDrawingBuffer:d}));if(!r)throw new Error(\\\"webgl not supported\\\");var y=t.bounds||[[-10,-10,-10],[10,10,10]],x=new m,b=l(r,r.drawingBufferWidth,r.drawingBufferHeight,{preferFloat:!d}),_=p(r),w=t.cameraObject&&!0===t.cameraObject._ortho||t.camera.projection&&\\\"orthographic\\\"===t.camera.projection.type||!1,T={eye:t.camera.eye||[2,0,0],center:t.camera.center||[0,0,0],up:t.camera.up||[0,1,0],zoomMin:t.camera.zoomMax||.1,zoomMax:t.camera.zoomMin||100,mode:t.camera.mode||\\\"turntable\\\",_ortho:w},k=t.axes||{},M=i(r,k);M.enable=!k.disable;var A=t.spikes||{},S=o(r,A),E=[],L=[],C=[],P=[],I=!0,O=!0,z=new Array(16),D=new Array(16),R={view:null,projection:z,model:D,_ortho:!1},F=(O=!0,[r.drawingBufferWidth,r.drawingBufferHeight]),B=t.cameraObject||n(e,T),N={gl:r,contextLost:!1,pixelRatio:t.pixelRatio||1,canvas:e,selection:x,camera:B,axes:M,axesPixels:null,spikes:S,bounds:y,objects:E,shape:F,aspect:t.aspectRatio||[1,1,1],pickRadius:t.pickRadius||10,zNear:t.zNear||.01,zFar:t.zFar||1e3,fovy:t.fovy||Math.PI/4,clearColor:t.clearColor||[0,0,0,0],autoResize:v(t.autoResize),autoBounds:v(t.autoBounds),autoScale:!!t.autoScale,autoCenter:v(t.autoCenter),clipToBounds:v(t.clipToBounds),snapToData:!!t.snapToData,onselect:t.onselect||null,onrender:t.onrender||null,onclick:t.onclick||null,cameraParams:R,oncontextloss:null,mouseListener:null,_stopped:!1,getAspectratio:function(){return{x:this.aspect[0],y:this.aspect[1],z:this.aspect[2]}},setAspectratio:function(t){this.aspect[0]=t.x,this.aspect[1]=t.y,this.aspect[2]=t.z,O=!0},setBounds:function(t,e){this.bounds[0][t]=e.min,this.bounds[1][t]=e.max},setClearColor:function(t){this.clearColor=t},clearRGBA:function(){this.gl.clearColor(this.clearColor[0],this.clearColor[1],this.clearColor[2],this.clearColor[3]),this.gl.clear(this.gl.COLOR_BUFFER_BIT|this.gl.DEPTH_BUFFER_BIT)}},j=[r.drawingBufferWidth/N.pixelRatio|0,r.drawingBufferHeight/N.pixelRatio|0];function U(){if(!N._stopped&&N.autoResize){var t=e.parentNode,r=1,n=1;t&&t!==document.body?(r=t.clientWidth,n=t.clientHeight):(r=window.innerWidth,n=window.innerHeight);var i=0|Math.ceil(r*N.pixelRatio),a=0|Math.ceil(n*N.pixelRatio);if(i!==e.width||a!==e.height){e.width=i,e.height=a;var o=e.style;o.position=o.position||\\\"absolute\\\",o.left=\\\"0px\\\",o.top=\\\"0px\\\",o.width=r+\\\"px\\\",o.height=n+\\\"px\\\",I=!0}}}N.autoResize&&U();function V(){for(var t=E.length,e=P.length,n=0;n<e;++n)C[n]=0;t:for(n=0;n<t;++n){var i=E[n],a=i.pickSlots;if(a){for(var o=0;o<e;++o)if(C[o]+a<255){L[n]=o,i.setPickBase(C[o]+1),C[o]+=a;continue t}var l=s(r,F);L[n]=e,P.push(l),C.push(a),i.setPickBase(1),e+=1}else L[n]=-1}for(;e>0&&0===C[e-1];)C.pop(),P.pop().dispose()}function q(){if(N.contextLost)return!0;r.isContextLost()&&(N.contextLost=!0,N.mouseListener.enabled=!1,N.selection.object=null,N.oncontextloss&&N.oncontextloss())}window.addEventListener(\\\"resize\\\",U),N.update=function(t){N._stopped||(t=t||{},I=!0,O=!0)},N.add=function(t){N._stopped||(t.axes=M,E.push(t),L.push(-1),I=!0,O=!0,V())},N.remove=function(t){if(!N._stopped){var e=E.indexOf(t);e<0||(E.splice(e,1),L.pop(),I=!0,O=!0,V())}},N.dispose=function(){if(!N._stopped&&(N._stopped=!0,window.removeEventListener(\\\"resize\\\",U),e.removeEventListener(\\\"webglcontextlost\\\",q),N.mouseListener.enabled=!1,!N.contextLost)){M.dispose(),S.dispose();for(var t=0;t<E.length;++t)E[t].dispose();b.dispose();for(t=0;t<P.length;++t)P[t].dispose();_.dispose(),r=null,M=null,S=null,E=[]}},N._mouseRotating=!1,N._prevButtons=0,N.enableMouseListeners=function(){N.mouseListener=u(e,(function(t,e,r){if(!N._stopped){var n=P.length,i=E.length,a=x.object;x.distance=1/0,x.mouse[0]=e,x.mouse[1]=r,x.object=null,x.screen=null,x.dataCoordinate=x.dataPosition=null;var o=!1;if(t&&N._prevButtons)N._mouseRotating=!0;else{N._mouseRotating&&(O=!0),N._mouseRotating=!1;for(var s=0;s<n;++s){var l=P[s].query(e,j[1]-r-1,N.pickRadius);if(l){if(l.distance>x.distance)continue;for(var c=0;c<i;++c){var u=E[c];if(L[c]===s){var f=u.pick(l);f&&(x.buttons=t,x.screen=l.coord,x.distance=l.distance,x.object=u,x.index=f.distance,x.dataPosition=f.position,x.dataCoordinate=f.dataCoordinate,x.data=f,o=!0)}}}}}a&&a!==x.object&&(a.highlight&&a.highlight(null),I=!0),x.object&&(x.object.highlight&&x.object.highlight(x.data),I=!0),(o=o||x.object!==a)&&N.onselect&&N.onselect(x),1&t&&!(1&N._prevButtons)&&N.onclick&&N.onclick(x),N._prevButtons=t}}))},e.addEventListener(\\\"webglcontextlost\\\",q);var H=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],G=[H[0].slice(),H[1].slice()];function Y(){if(!q()){U();var t=N.camera.tick();R.view=N.camera.matrix,I=I||t,O=O||t,M.pixelRatio=N.pixelRatio,S.pixelRatio=N.pixelRatio;var e=E.length,n=H[0],i=H[1];n[0]=n[1]=n[2]=1/0,i[0]=i[1]=i[2]=-1/0;for(var o=0;o<e;++o){(C=E[o]).pixelRatio=N.pixelRatio,C.axes=N.axes,I=I||!!C.dirty,O=O||!!C.dirty;var s=C.bounds;if(s)for(var l=s[0],u=s[1],p=0;p<3;++p)n[p]=Math.min(n[p],l[p]),i[p]=Math.max(i[p],u[p])}var d=N.bounds;if(N.autoBounds)for(p=0;p<3;++p){if(i[p]<n[p])n[p]=-1,i[p]=1;else{n[p]===i[p]&&(n[p]-=1,i[p]+=1);var m=.05*(i[p]-n[p]);n[p]=n[p]-m,i[p]=i[p]+m}d[0][p]=n[p],d[1][p]=i[p]}var v=!1;for(p=0;p<3;++p)v=v||G[0][p]!==d[0][p]||G[1][p]!==d[1][p],G[0][p]=d[0][p],G[1][p]=d[1][p];if(O=O||v,I=I||v){if(v){var y=[0,0,0];for(o=0;o<3;++o)y[o]=g((d[1][o]-d[0][o])/10);M.autoTicks?M.update({bounds:d,tickSpacing:y}):M.update({bounds:d})}var T=r.drawingBufferWidth,k=r.drawingBufferHeight;F[0]=T,F[1]=k,j[0]=0|Math.max(T/N.pixelRatio,1),j[1]=0|Math.max(k/N.pixelRatio,1),function(t,e){var r=t.bounds,n=t.cameraParams,i=n.projection,a=n.model,o=t.gl.drawingBufferWidth,s=t.gl.drawingBufferHeight,l=t.zNear,c=t.zFar,u=t.fovy,p=o/s;e?(h(i,-p,p,-1,1,l,c),n._ortho=!0):(f(i,u,p,l,c),n._ortho=!1);for(var d=0;d<16;++d)a[d]=0;a[15]=1;var m=0;for(d=0;d<3;++d)m=Math.max(m,r[1][d]-r[0][d]);for(d=0;d<3;++d)t.autoScale?a[5*d]=t.aspect[d]/(r[1][d]-r[0][d]):a[5*d]=1/m,t.autoCenter&&(a[12+d]=.5*-a[5*d]*(r[0][d]+r[1][d]))}(N,w);for(o=0;o<e;++o){(C=E[o]).axesBounds=d,N.clipToBounds&&(C.clipBounds=d)}x.object&&(N.snapToData?S.position=x.dataCoordinate:S.position=x.dataPosition,S.bounds=d),O&&(O=!1,function(){if(!q()){r.colorMask(!0,!0,!0,!0),r.depthMask(!0),r.disable(r.BLEND),r.enable(r.DEPTH_TEST),r.depthFunc(r.LEQUAL);for(var t=E.length,e=P.length,n=0;n<e;++n){var i=P[n];i.shape=j,i.begin();for(var a=0;a<t;++a)if(L[a]===n){var o=E[a];o.drawPick&&(o.pixelRatio=1,o.drawPick(R))}i.end()}}}()),N.axesPixels=a(N.axes,R,T,k),N.onrender&&N.onrender(),r.bindFramebuffer(r.FRAMEBUFFER,null),r.viewport(0,0,T,k),N.clearRGBA(),r.depthMask(!0),r.colorMask(!0,!0,!0,!0),r.enable(r.DEPTH_TEST),r.depthFunc(r.LEQUAL),r.disable(r.BLEND),r.disable(r.CULL_FACE);var A=!1;M.enable&&(A=A||M.isTransparent(),M.draw(R)),S.axes=M,x.object&&S.draw(R),r.disable(r.CULL_FACE);for(o=0;o<e;++o){(C=E[o]).axes=M,C.pixelRatio=N.pixelRatio,C.isOpaque&&C.isOpaque()&&C.draw(R),C.isTransparent&&C.isTransparent()&&(A=!0)}if(A){b.shape=F,b.bind(),r.clear(r.DEPTH_BUFFER_BIT),r.colorMask(!1,!1,!1,!1),r.depthMask(!0),r.depthFunc(r.LESS),M.enable&&M.isTransparent()&&M.drawTransparent(R);for(o=0;o<e;++o){(C=E[o]).isOpaque&&C.isOpaque()&&C.draw(R)}r.enable(r.BLEND),r.blendEquation(r.FUNC_ADD),r.blendFunc(r.ONE,r.ONE_MINUS_SRC_ALPHA),r.colorMask(!0,!0,!0,!0),r.depthMask(!1),r.clearColor(0,0,0,0),r.clear(r.COLOR_BUFFER_BIT),M.isTransparent()&&M.drawTransparent(R);for(o=0;o<e;++o){var C;(C=E[o]).isTransparent&&C.isTransparent()&&C.drawTransparent(R)}r.bindFramebuffer(r.FRAMEBUFFER,null),r.blendFunc(r.ONE,r.ONE_MINUS_SRC_ALPHA),r.disable(r.DEPTH_TEST),_.bind(),b.color[0].bind(0),_.uniforms.accumBuffer=0,c(r),r.disable(r.BLEND)}I=!1;for(o=0;o<e;++o)E[o].dirty=!1}}}return N.enableMouseListeners(),function t(){if(N._stopped||N.contextLost)return;Y(),requestAnimationFrame(t)}(),N.redraw=function(){N._stopped||(I=!0,Y())},N},createCamera:n}},{\\\"./camera.js\\\":315,\\\"./lib/shader\\\":316,\\\"a-big-triangle\\\":66,\\\"gl-axes3d\\\":250,\\\"gl-axes3d/properties\\\":258,\\\"gl-fbo\\\":268,\\\"gl-mat4/ortho\\\":294,\\\"gl-mat4/perspective\\\":295,\\\"gl-select-static\\\":330,\\\"gl-spikes3d\\\":341,\\\"is-mobile\\\":447,\\\"mouse-change\\\":462}],319:[function(t,e,r){var n=t(\\\"glslify\\\");r.pointVertex=n([\\\"precision mediump float;\\\\n#define GLSLIFY 1\\\\n\\\\nattribute vec2 position;\\\\n\\\\nuniform mat3 matrix;\\\\nuniform float pointSize;\\\\nuniform float pointCloud;\\\\n\\\\nhighp float rand(vec2 co) {\\\\n  highp float a = 12.9898;\\\\n  highp float b = 78.233;\\\\n  highp float c = 43758.5453;\\\\n  highp float d = dot(co.xy, vec2(a, b));\\\\n  highp float e = mod(d, 3.14);\\\\n  return fract(sin(e) * c);\\\\n}\\\\n\\\\nvoid main() {\\\\n  vec3 hgPosition = matrix * vec3(position, 1);\\\\n  gl_Position  = vec4(hgPosition.xy, 0, hgPosition.z);\\\\n    // if we don't jitter the point size a bit, overall point cloud\\\\n    // saturation 'jumps' on zooming, which is disturbing and confusing\\\\n  gl_PointSize = pointSize * ((19.5 + rand(position)) / 20.0);\\\\n  if(pointCloud != 0.0) { // pointCloud is truthy\\\\n    // get the same square surface as circle would be\\\\n    gl_PointSize *= 0.886;\\\\n  }\\\\n}\\\"]),r.pointFragment=n([\\\"precision mediump float;\\\\n#define GLSLIFY 1\\\\n\\\\nuniform vec4 color, borderColor;\\\\nuniform float centerFraction;\\\\nuniform float pointCloud;\\\\n\\\\nvoid main() {\\\\n  float radius;\\\\n  vec4 baseColor;\\\\n  if(pointCloud != 0.0) { // pointCloud is truthy\\\\n    if(centerFraction == 1.0) {\\\\n      gl_FragColor = color;\\\\n    } else {\\\\n      gl_FragColor = mix(borderColor, color, centerFraction);\\\\n    }\\\\n  } else {\\\\n    radius = length(2.0 * gl_PointCoord.xy - 1.0);\\\\n    if(radius > 1.0) {\\\\n      discard;\\\\n    }\\\\n    baseColor = mix(borderColor, color, step(radius, centerFraction));\\\\n    gl_FragColor = vec4(baseColor.rgb * baseColor.a, baseColor.a);\\\\n  }\\\\n}\\\\n\\\"]),r.pickVertex=n([\\\"precision mediump float;\\\\n#define GLSLIFY 1\\\\n\\\\nattribute vec2 position;\\\\nattribute vec4 pickId;\\\\n\\\\nuniform mat3 matrix;\\\\nuniform float pointSize;\\\\nuniform vec4 pickOffset;\\\\n\\\\nvarying vec4 fragId;\\\\n\\\\nvoid main() {\\\\n  vec3 hgPosition = matrix * vec3(position, 1);\\\\n  gl_Position  = vec4(hgPosition.xy, 0, hgPosition.z);\\\\n  gl_PointSize = pointSize;\\\\n\\\\n  vec4 id = pickId + pickOffset;\\\\n  id.y += floor(id.x / 256.0);\\\\n  id.x -= floor(id.x / 256.0) * 256.0;\\\\n\\\\n  id.z += floor(id.y / 256.0);\\\\n  id.y -= floor(id.y / 256.0) * 256.0;\\\\n\\\\n  id.w += floor(id.z / 256.0);\\\\n  id.z -= floor(id.z / 256.0) * 256.0;\\\\n\\\\n  fragId = id;\\\\n}\\\\n\\\"]),r.pickFragment=n([\\\"precision mediump float;\\\\n#define GLSLIFY 1\\\\n\\\\nvarying vec4 fragId;\\\\n\\\\nvoid main() {\\\\n  float radius = length(2.0 * gl_PointCoord.xy - 1.0);\\\\n  if(radius > 1.0) {\\\\n    discard;\\\\n  }\\\\n  gl_FragColor = fragId / 255.0;\\\\n}\\\\n\\\"])},{glslify:434}],320:[function(t,e,r){\\\"use strict\\\";var n=t(\\\"gl-shader\\\"),i=t(\\\"gl-buffer\\\"),a=t(\\\"typedarray-pool\\\"),o=t(\\\"./lib/shader\\\");function s(t,e,r,n,i){this.plot=t,this.offsetBuffer=e,this.pickBuffer=r,this.shader=n,this.pickShader=i,this.sizeMin=.5,this.sizeMinCap=2,this.sizeMax=20,this.areaRatio=1,this.pointCount=0,this.color=[1,0,0,1],this.borderColor=[0,0,0,1],this.blend=!1,this.pickOffset=0,this.points=null}e.exports=function(t,e){var r=t.gl,a=i(r),l=i(r),c=n(r,o.pointVertex,o.pointFragment),u=n(r,o.pickVertex,o.pickFragment),f=new s(t,a,l,c,u);return f.update(e),t.addObject(f),f};var l,c,u=s.prototype;u.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.offsetBuffer.dispose(),this.pickBuffer.dispose(),this.plot.removeObject(this)},u.update=function(t){var e;function r(e,r){return e in t?t[e]:r}t=t||{},this.sizeMin=r(\\\"sizeMin\\\",.5),this.sizeMax=r(\\\"sizeMax\\\",20),this.color=r(\\\"color\\\",[1,0,0,1]).slice(),this.areaRatio=r(\\\"areaRatio\\\",1),this.borderColor=r(\\\"borderColor\\\",[0,0,0,1]).slice(),this.blend=r(\\\"blend\\\",!1);var n=t.positions.length>>>1,i=t.positions instanceof Float32Array,o=t.idToIndex instanceof Int32Array&&t.idToIndex.length>=n,s=t.positions,l=i?s:a.mallocFloat32(s.length),c=o?t.idToIndex:a.mallocInt32(n);if(i||l.set(s),!o)for(l.set(s),e=0;e<n;e++)c[e]=e;this.points=s,this.offsetBuffer.update(l),this.pickBuffer.update(c),i||a.free(l),o||a.free(c),this.pointCount=n,this.pickOffset=0},u.unifiedDraw=(l=[1,0,0,0,1,0,0,0,1],c=[0,0,0,0],function(t){var e=void 0!==t,r=e?this.pickShader:this.shader,n=this.plot.gl,i=this.plot.dataBox;if(0===this.pointCount)return t;var a=i[2]-i[0],o=i[3]-i[1],s=function(t,e){var r,n=0,i=t.length>>>1;for(r=0;r<i;r++){var a=t[2*r],o=t[2*r+1];a>=e[0]&&a<=e[2]&&o>=e[1]&&o<=e[3]&&n++}return n}(this.points,i),u=this.plot.pickPixelRatio*Math.max(Math.min(this.sizeMinCap,this.sizeMin),Math.min(this.sizeMax,this.sizeMax/Math.pow(s,.33333)));l[0]=2/a,l[4]=2/o,l[6]=-2*i[0]/a-1,l[7]=-2*i[1]/o-1,this.offsetBuffer.bind(),r.bind(),r.attributes.position.pointer(),r.uniforms.matrix=l,r.uniforms.color=this.color,r.uniforms.borderColor=this.borderColor,r.uniforms.pointCloud=u<5,r.uniforms.pointSize=u,r.uniforms.centerFraction=Math.min(1,Math.max(0,Math.sqrt(1-this.areaRatio))),e&&(c[0]=255&t,c[1]=t>>8&255,c[2]=t>>16&255,c[3]=t>>24&255,this.pickBuffer.bind(),r.attributes.pickId.pointer(n.UNSIGNED_BYTE),r.uniforms.pickOffset=c,this.pickOffset=t);var f=n.getParameter(n.BLEND),h=n.getParameter(n.DITHER);return f&&!this.blend&&n.disable(n.BLEND),h&&n.disable(n.DITHER),n.drawArrays(n.POINTS,0,this.pointCount),f&&!this.blend&&n.enable(n.BLEND),h&&n.enable(n.DITHER),t+this.pointCount}),u.draw=u.unifiedDraw,u.drawPick=u.unifiedDraw,u.pick=function(t,e,r){var n=this.pickOffset,i=this.pointCount;if(r<n||r>=n+i)return null;var a=r-n,o=this.points;return{object:this,pointId:a,dataCoord:[o[2*a],o[2*a+1]]}}},{\\\"./lib/shader\\\":319,\\\"gl-buffer\\\":259,\\\"gl-shader\\\":331,\\\"typedarray-pool\\\":609}],321:[function(t,e,r){e.exports=function(t,e,r,n){var i,a,o,s,l,c=e[0],u=e[1],f=e[2],h=e[3],p=r[0],d=r[1],m=r[2],g=r[3];(a=c*p+u*d+f*m+h*g)<0&&(a=-a,p=-p,d=-d,m=-m,g=-g);1-a>1e-6?(i=Math.acos(a),o=Math.sin(i),s=Math.sin((1-n)*i)/o,l=Math.sin(n*i)/o):(s=1-n,l=n);return t[0]=s*c+l*p,t[1]=s*u+l*d,t[2]=s*f+l*m,t[3]=s*h+l*g,t}},{}],322:[function(t,e,r){\\\"use strict\\\";e.exports=function(t){return t||0===t?t.toString():\\\"\\\"}},{}],323:[function(t,e,r){\\\"use strict\\\";var n=t(\\\"vectorize-text\\\");e.exports=function(t,e,r){var a=i[e];a||(a=i[e]={});if(t in a)return a[t];var o={textAlign:\\\"center\\\",textBaseline:\\\"middle\\\",lineHeight:1,font:e,lineSpacing:1.25,styletags:{breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},triangles:!0},s=n(t,o);o.triangles=!1;var l,c,u=n(t,o);if(r&&1!==r){for(l=0;l<s.positions.length;++l)for(c=0;c<s.positions[l].length;++c)s.positions[l][c]/=r;for(l=0;l<u.positions.length;++l)for(c=0;c<u.positions[l].length;++c)u.positions[l][c]/=r}var f=[[1/0,1/0],[-1/0,-1/0]],h=u.positions.length;for(l=0;l<h;++l){var p=u.positions[l];for(c=0;c<2;++c)f[0][c]=Math.min(f[0][c],p[c]),f[1][c]=Math.max(f[1][c],p[c])}return a[t]=[s,u,f]};var i={}},{\\\"vectorize-text\\\":615}],324:[function(t,e,r){var n=t(\\\"gl-shader\\\"),i=t(\\\"glslify\\\"),a=i([\\\"precision highp float;\\\\n#define GLSLIFY 1\\\\n\\\\nbool outOfRange(float a, float b, float p) {\\\\n  return ((p > max(a, b)) || \\\\n          (p < min(a, b)));\\\\n}\\\\n\\\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\\\n  return (outOfRange(a.x, b.x, p.x) ||\\\\n          outOfRange(a.y, b.y, p.y));\\\\n}\\\\n\\\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\\\n  return (outOfRange(a.x, b.x, p.x) ||\\\\n          outOfRange(a.y, b.y, p.y) ||\\\\n          outOfRange(a.z, b.z, p.z));\\\\n}\\\\n\\\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\\\n}\\\\n\\\\nattribute vec3 position;\\\\nattribute vec4 color;\\\\nattribute vec2 glyph;\\\\nattribute vec4 id;\\\\n\\\\nuniform vec4 highlightId;\\\\nuniform float highlightScale;\\\\nuniform mat4 model, view, projection;\\\\nuniform vec3 clipBounds[2];\\\\n\\\\nvarying vec4 interpColor;\\\\nvarying vec4 pickId;\\\\nvarying vec3 dataCoordinate;\\\\n\\\\nvoid main() {\\\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\\\n\\\\n    gl_Position = vec4(0,0,0,0);\\\\n  } else {\\\\n    float scale = 1.0;\\\\n    if(distance(highlightId, id) < 0.0001) {\\\\n      scale = highlightScale;\\\\n    }\\\\n\\\\n    vec4 worldPosition = model * vec4(position, 1);\\\\n    vec4 viewPosition = view * worldPosition;\\\\n    viewPosition = viewPosition / viewPosition.w;\\\\n    vec4 clipPosition = projection * (viewPosition + scale * vec4(glyph.x, -glyph.y, 0, 0));\\\\n\\\\n    gl_Position = clipPosition;\\\\n    interpColor = color;\\\\n    pickId = id;\\\\n    dataCoordinate = position;\\\\n  }\\\\n}\\\"]),o=i([\\\"precision highp float;\\\\n#define GLSLIFY 1\\\\n\\\\nbool outOfRange(float a, float b, float p) {\\\\n  return ((p > max(a, b)) || \\\\n          (p < min(a, b)));\\\\n}\\\\n\\\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\\\n  return (outOfRange(a.x, b.x, p.x) ||\\\\n          outOfRange(a.y, b.y, p.y));\\\\n}\\\\n\\\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\\\n  return (outOfRange(a.x, b.x, p.x) ||\\\\n          outOfRange(a.y, b.y, p.y) ||\\\\n          outOfRange(a.z, b.z, p.z));\\\\n}\\\\n\\\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\\\n}\\\\n\\\\nattribute vec3 position;\\\\nattribute vec4 color;\\\\nattribute vec2 glyph;\\\\nattribute vec4 id;\\\\n\\\\nuniform mat4 model, view, projection;\\\\nuniform vec2 screenSize;\\\\nuniform vec3 clipBounds[2];\\\\nuniform float highlightScale, pixelRatio;\\\\nuniform vec4 highlightId;\\\\n\\\\nvarying vec4 interpColor;\\\\nvarying vec4 pickId;\\\\nvarying vec3 dataCoordinate;\\\\n\\\\nvoid main() {\\\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\\\n\\\\n    gl_Position = vec4(0,0,0,0);\\\\n  } else {\\\\n    float scale = pixelRatio;\\\\n    if(distance(highlightId.bgr, id.bgr) < 0.001) {\\\\n      scale *= highlightScale;\\\\n    }\\\\n\\\\n    vec4 worldPosition = model * vec4(position, 1.0);\\\\n    vec4 viewPosition = view * worldPosition;\\\\n    vec4 clipPosition = projection * viewPosition;\\\\n    clipPosition /= clipPosition.w;\\\\n\\\\n    gl_Position = clipPosition + vec4(screenSize * scale * vec2(glyph.x, -glyph.y), 0.0, 0.0);\\\\n    interpColor = color;\\\\n    pickId = id;\\\\n    dataCoordinate = position;\\\\n  }\\\\n}\\\"]),s=i([\\\"precision highp float;\\\\n#define GLSLIFY 1\\\\n\\\\nbool outOfRange(float a, float b, float p) {\\\\n  return ((p > max(a, b)) || \\\\n          (p < min(a, b)));\\\\n}\\\\n\\\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\\\n  return (outOfRange(a.x, b.x, p.x) ||\\\\n          outOfRange(a.y, b.y, p.y));\\\\n}\\\\n\\\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\\\n  return (outOfRange(a.x, b.x, p.x) ||\\\\n          outOfRange(a.y, b.y, p.y) ||\\\\n          outOfRange(a.z, b.z, p.z));\\\\n}\\\\n\\\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\\\n}\\\\n\\\\nattribute vec3 position;\\\\nattribute vec4 color;\\\\nattribute vec2 glyph;\\\\nattribute vec4 id;\\\\n\\\\nuniform float highlightScale;\\\\nuniform vec4 highlightId;\\\\nuniform vec3 axes[2];\\\\nuniform mat4 model, view, projection;\\\\nuniform vec2 screenSize;\\\\nuniform vec3 clipBounds[2];\\\\nuniform float scale, pixelRatio;\\\\n\\\\nvarying vec4 interpColor;\\\\nvarying vec4 pickId;\\\\nvarying vec3 dataCoordinate;\\\\n\\\\nvoid main() {\\\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\\\n\\\\n    gl_Position = vec4(0,0,0,0);\\\\n  } else {\\\\n    float lscale = pixelRatio * scale;\\\\n    if(distance(highlightId, id) < 0.0001) {\\\\n      lscale *= highlightScale;\\\\n    }\\\\n\\\\n    vec4 clipCenter   = projection * view * model * vec4(position, 1);\\\\n    vec3 dataPosition = position + 0.5*lscale*(axes[0] * glyph.x + axes[1] * glyph.y) * clipCenter.w * screenSize.y;\\\\n    vec4 clipPosition = projection * view * model * vec4(dataPosition, 1);\\\\n\\\\n    gl_Position = clipPosition;\\\\n    interpColor = color;\\\\n    pickId = id;\\\\n    dataCoordinate = dataPosition;\\\\n  }\\\\n}\\\\n\\\"]),l=i([\\\"precision highp float;\\\\n#define GLSLIFY 1\\\\n\\\\nbool outOfRange(float a, float b, float p) {\\\\n  return ((p > max(a, b)) || \\\\n          (p < min(a, b)));\\\\n}\\\\n\\\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\\\n  return (outOfRange(a.x, b.x, p.x) ||\\\\n          outOfRange(a.y, b.y, p.y));\\\\n}\\\\n\\\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\\\n  return (outOfRange(a.x, b.x, p.x) ||\\\\n          outOfRange(a.y, b.y, p.y) ||\\\\n          outOfRange(a.z, b.z, p.z));\\\\n}\\\\n\\\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\\\n}\\\\n\\\\nuniform vec3 fragClipBounds[2];\\\\nuniform float opacity;\\\\n\\\\nvarying vec4 interpColor;\\\\nvarying vec3 dataCoordinate;\\\\n\\\\nvoid main() {\\\\n  if (\\\\n    outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate) ||\\\\n    interpColor.a * opacity == 0.\\\\n  ) discard;\\\\n  gl_FragColor = interpColor * opacity;\\\\n}\\\\n\\\"]),c=i([\\\"precision highp float;\\\\n#define GLSLIFY 1\\\\n\\\\nbool outOfRange(float a, float b, float p) {\\\\n  return ((p > max(a, b)) || \\\\n          (p < min(a, b)));\\\\n}\\\\n\\\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\\\n  return (outOfRange(a.x, b.x, p.x) ||\\\\n          outOfRange(a.y, b.y, p.y));\\\\n}\\\\n\\\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\\\n  return (outOfRange(a.x, b.x, p.x) ||\\\\n          outOfRange(a.y, b.y, p.y) ||\\\\n          outOfRange(a.z, b.z, p.z));\\\\n}\\\\n\\\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\\\n}\\\\n\\\\nuniform vec3 fragClipBounds[2];\\\\nuniform float pickGroup;\\\\n\\\\nvarying vec4 pickId;\\\\nvarying vec3 dataCoordinate;\\\\n\\\\nvoid main() {\\\\n  if (outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate)) discard;\\\\n\\\\n  gl_FragColor = vec4(pickGroup, pickId.bgr);\\\\n}\\\"]),u=[{name:\\\"position\\\",type:\\\"vec3\\\"},{name:\\\"color\\\",type:\\\"vec4\\\"},{name:\\\"glyph\\\",type:\\\"vec2\\\"},{name:\\\"id\\\",type:\\\"vec4\\\"}],f={vertex:a,fragment:l,attributes:u},h={vertex:o,fragment:l,attributes:u},p={vertex:s,fragment:l,attributes:u},d={vertex:a,fragment:c,attributes:u},m={vertex:o,fragment:c,attributes:u},g={vertex:s,fragment:c,attributes:u};function v(t,e){var r=n(t,e),i=r.attributes;return i.position.location=0,i.color.location=1,i.glyph.location=2,i.id.location=3,r}r.createPerspective=function(t){return v(t,f)},r.createOrtho=function(t){return v(t,h)},r.createProject=function(t){return v(t,p)},r.createPickPerspective=function(t){return v(t,d)},r.createPickOrtho=function(t){return v(t,m)},r.createPickProject=function(t){return v(t,g)}},{\\\"gl-shader\\\":331,glslify:325}],325:[function(t,e,r){arguments[4][257][0].apply(r,arguments)},{dup:257}],326:[function(t,e,r){\\\"use strict\\\";var n=t(\\\"is-string-blank\\\"),i=t(\\\"gl-buffer\\\"),a=t(\\\"gl-vao\\\"),o=t(\\\"typedarray-pool\\\"),s=t(\\\"gl-mat4/multiply\\\"),l=t(\\\"./lib/shaders\\\"),c=t(\\\"./lib/glyphs\\\"),u=t(\\\"./lib/get-simple-string\\\"),f=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function h(t,e){var r=t[0],n=t[1],i=t[2],a=t[3];return t[0]=e[0]*r+e[4]*n+e[8]*i+e[12]*a,t[1]=e[1]*r+e[5]*n+e[9]*i+e[13]*a,t[2]=e[2]*r+e[6]*n+e[10]*i+e[14]*a,t[3]=e[3]*r+e[7]*n+e[11]*i+e[15]*a,t}function p(t,e,r,n){return h(n,n),h(n,n),h(n,n)}function d(t,e){this.index=t,this.dataCoordinate=this.position=e}function m(t){return!0===t||t>1?1:t}function g(t,e,r,n,i,a,o,s,l,c,u,f){this.gl=t,this.pixelRatio=1,this.shader=e,this.orthoShader=r,this.projectShader=n,this.pointBuffer=i,this.colorBuffer=a,this.glyphBuffer=o,this.idBuffer=s,this.vao=l,this.vertexCount=0,this.lineVertexCount=0,this.opacity=1,this.hasAlpha=!1,this.lineWidth=0,this.projectScale=[2/3,2/3,2/3],this.projectOpacity=[1,1,1],this.projectHasAlpha=!1,this.pickId=0,this.pickPerspectiveShader=c,this.pickOrthoShader=u,this.pickProjectShader=f,this.points=[],this._selectResult=new d(0,[0,0,0]),this.useOrtho=!0,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.axesProject=[!0,!0,!0],this.axesBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.highlightId=[1,1,1,1],this.highlightScale=2,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.dirty=!0}e.exports=function(t){var e=t.gl,r=l.createPerspective(e),n=l.createOrtho(e),o=l.createProject(e),s=l.createPickPerspective(e),c=l.createPickOrtho(e),u=l.createPickProject(e),f=i(e),h=i(e),p=i(e),d=i(e),m=a(e,[{buffer:f,size:3,type:e.FLOAT},{buffer:h,size:4,type:e.FLOAT},{buffer:p,size:2,type:e.FLOAT},{buffer:d,size:4,type:e.UNSIGNED_BYTE,normalized:!0}]),v=new g(e,r,n,o,f,h,p,d,m,s,c,u);return v.update(t),v};var v=g.prototype;v.pickSlots=1,v.setPickBase=function(t){this.pickId=t},v.isTransparent=function(){if(this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&this.projectHasAlpha)return!0;return!1},v.isOpaque=function(){if(!this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&!this.projectHasAlpha)return!0;return!1};var y=[0,0],x=[0,0,0],b=[0,0,0],_=[0,0,0,1],w=[0,0,0,1],T=f.slice(),k=[0,0,0],M=[[0,0,0],[0,0,0]];function A(t){return t[0]=t[1]=t[2]=0,t}function S(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=1,t}function E(t,e,r,n){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[r]=n,t}function L(t,e,r,n){var i,a=e.axesProject,o=e.gl,l=t.uniforms,c=r.model||f,u=r.view||f,h=r.projection||f,d=e.axesBounds,m=function(t){for(var e=M,r=0;r<2;++r)for(var n=0;n<3;++n)e[r][n]=Math.max(Math.min(t[r][n],1e8),-1e8);return e}(e.clipBounds);i=e.axes&&e.axes.lastCubeProps?e.axes.lastCubeProps.axis:[1,1,1],y[0]=2/o.drawingBufferWidth,y[1]=2/o.drawingBufferHeight,t.bind(),l.view=u,l.projection=h,l.screenSize=y,l.highlightId=e.highlightId,l.highlightScale=e.highlightScale,l.clipBounds=m,l.pickGroup=e.pickId/255,l.pixelRatio=n;for(var g=0;g<3;++g)if(a[g]){l.scale=e.projectScale[g],l.opacity=e.projectOpacity[g];for(var v=T,L=0;L<16;++L)v[L]=0;for(L=0;L<4;++L)v[5*L]=1;v[5*g]=0,i[g]<0?v[12+g]=d[0][g]:v[12+g]=d[1][g],s(v,c,v),l.model=v;var C=(g+1)%3,P=(g+2)%3,I=A(x),O=A(b);I[C]=1,O[P]=1;var z=p(0,0,0,S(_,I)),D=p(0,0,0,S(w,O));if(Math.abs(z[1])>Math.abs(D[1])){var R=z;z=D,D=R,R=I,I=O,O=R;var F=C;C=P,P=F}z[0]<0&&(I[C]=-1),D[1]>0&&(O[P]=-1);var B=0,N=0;for(L=0;L<4;++L)B+=Math.pow(c[4*C+L],2),N+=Math.pow(c[4*P+L],2);I[C]/=Math.sqrt(B),O[P]/=Math.sqrt(N),l.axes[0]=I,l.axes[1]=O,l.fragClipBounds[0]=E(k,m[0],g,-1e8),l.fragClipBounds[1]=E(k,m[1],g,1e8),e.vao.bind(),e.vao.draw(o.TRIANGLES,e.vertexCount),e.lineWidth>0&&(o.lineWidth(e.lineWidth*n),e.vao.draw(o.LINES,e.lineVertexCount,e.vertexCount)),e.vao.unbind()}}var C=[[-1e8,-1e8,-1e8],[1e8,1e8,1e8]];function P(t,e,r,n,i,a,o){var s=r.gl;if((a===r.projectHasAlpha||o)&&L(e,r,n,i),a===r.hasAlpha||o){t.bind();var l=t.uniforms;l.model=n.model||f,l.view=n.view||f,l.projection=n.projection||f,y[0]=2/s.drawingBufferWidth,y[1]=2/s.drawingBufferHeight,l.screenSize=y,l.highlightId=r.highlightId,l.highlightScale=r.highlightScale,l.fragClipBounds=C,l.clipBounds=r.axes.bounds,l.opacity=r.opacity,l.pickGroup=r.pickId/255,l.pixelRatio=i,r.vao.bind(),r.vao.draw(s.TRIANGLES,r.vertexCount),r.lineWidth>0&&(s.lineWidth(r.lineWidth*i),r.vao.draw(s.LINES,r.lineVertexCount,r.vertexCount)),r.vao.unbind()}}function I(t,e,r,i){var a;a=Array.isArray(t)?e<t.length?t[e]:void 0:t,a=u(a);var o=!0;n(a)&&(a=\\\"\\\\u25bc\\\",o=!1);var s=c(a,r,i);return{mesh:s[0],lines:s[1],bounds:s[2],visible:o}}v.draw=function(t){P(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,this.pixelRatio,!1,!1)},v.drawTransparent=function(t){P(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,this.pixelRatio,!0,!1)},v.drawPick=function(t){P(this.useOrtho?this.pickOrthoShader:this.pickPerspectiveShader,this.pickProjectShader,this,t,1,!0,!0)},v.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[2]+(t.value[1]<<8)+(t.value[0]<<16);if(e>=this.pointCount||e<0)return null;var r=this.points[e],n=this._selectResult;n.index=e;for(var i=0;i<3;++i)n.position[i]=n.dataCoordinate[i]=r[i];return n},v.highlight=function(t){if(t){var e=t.index,r=255&e,n=e>>8&255,i=e>>16&255;this.highlightId=[r/255,n/255,i/255,0]}else this.highlightId=[1,1,1,1]},v.update=function(t){if(\\\"perspective\\\"in(t=t||{})&&(this.useOrtho=!t.perspective),\\\"orthographic\\\"in t&&(this.useOrtho=!!t.orthographic),\\\"lineWidth\\\"in t&&(this.lineWidth=t.lineWidth),\\\"project\\\"in t)if(Array.isArray(t.project))this.axesProject=t.project;else{var e=!!t.project;this.axesProject=[e,e,e]}if(\\\"projectScale\\\"in t)if(Array.isArray(t.projectScale))this.projectScale=t.projectScale.slice();else{var r=+t.projectScale;this.projectScale=[r,r,r]}if(this.projectHasAlpha=!1,\\\"projectOpacity\\\"in t){if(Array.isArray(t.projectOpacity))this.projectOpacity=t.projectOpacity.slice();else{r=+t.projectOpacity;this.projectOpacity=[r,r,r]}for(var n=0;n<3;++n)this.projectOpacity[n]=m(this.projectOpacity[n]),this.projectOpacity[n]<1&&(this.projectHasAlpha=!0)}this.hasAlpha=!1,\\\"opacity\\\"in t&&(this.opacity=m(t.opacity),this.opacity<1&&(this.hasAlpha=!0)),this.dirty=!0;var i,a,s=t.position,l=t.font||\\\"normal\\\",c=t.alignment||[0,0];if(2===c.length)i=c[0],a=c[1];else{i=[],a=[];for(n=0;n<c.length;++n)i[n]=c[n][0],a[n]=c[n][1]}var u=[1/0,1/0,1/0],f=[-1/0,-1/0,-1/0],h=t.glyph,p=t.color,d=t.size,g=t.angle,v=t.lineColor,y=-1,x=0,b=0,_=0;if(s.length){_=s.length;t:for(n=0;n<_;++n){for(var w=s[n],T=0;T<3;++T)if(isNaN(w[T])||!isFinite(w[T]))continue t;var k=(N=I(h,n,l,this.pixelRatio)).mesh,M=N.lines,A=N.bounds;x+=3*k.cells.length,b+=2*M.edges.length}}var S=x+b,E=o.mallocFloat(3*S),L=o.mallocFloat(4*S),C=o.mallocFloat(2*S),P=o.mallocUint32(S);if(S>0){var O=0,z=x,D=[0,0,0,1],R=[0,0,0,1],F=Array.isArray(p)&&Array.isArray(p[0]),B=Array.isArray(v)&&Array.isArray(v[0]);t:for(n=0;n<_;++n){y+=1;for(w=s[n],T=0;T<3;++T){if(isNaN(w[T])||!isFinite(w[T]))continue t;f[T]=Math.max(f[T],w[T]),u[T]=Math.min(u[T],w[T])}k=(N=I(h,n,l,this.pixelRatio)).mesh,M=N.lines,A=N.bounds;var N,j=N.visible;if(j)if(Array.isArray(p)){if(3===(U=F?n<p.length?p[n]:[0,0,0,0]:p).length){for(T=0;T<3;++T)D[T]=U[T];D[3]=1}else if(4===U.length){for(T=0;T<4;++T)D[T]=U[T];!this.hasAlpha&&U[3]<1&&(this.hasAlpha=!0)}}else D[0]=D[1]=D[2]=0,D[3]=1;else 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tt=J[K[Q]];C[2*O]=V*(H*tt[0]-G*tt[1]+X[0]),C[2*O+1]=V*(G*tt[0]+H*tt[1]+X[1]),O+=1}for(Z=M.edges,J=M.positions,T=0;T<Z.length;++T)for(K=Z[T],Q=0;Q<2;++Q){for($=0;$<3;++$)E[3*z+$]=w[$];for($=0;$<4;++$)L[4*z+$]=R[$];P[z]=y;tt=J[K[Q]];C[2*z]=V*(H*tt[0]-G*tt[1]+X[0]),C[2*z+1]=V*(G*tt[0]+H*tt[1]+X[1]),z+=1}}}this.bounds=[u,f],this.points=s,this.pointCount=s.length,this.vertexCount=x,this.lineVertexCount=b,this.pointBuffer.update(E),this.colorBuffer.update(L),this.glyphBuffer.update(C),this.idBuffer.update(P),o.free(E),o.free(L),o.free(C),o.free(P)},v.dispose=function(){this.shader.dispose(),this.orthoShader.dispose(),this.pickPerspectiveShader.dispose(),this.pickOrthoShader.dispose(),this.vao.dispose(),this.pointBuffer.dispose(),this.colorBuffer.dispose(),this.glyphBuffer.dispose(),this.idBuffer.dispose()}},{\\\"./lib/get-simple-string\\\":322,\\\"./lib/glyphs\\\":323,\\\"./lib/shaders\\\":324,\\\"gl-buffer\\\":259,\\\"gl-mat4/multiply\\\":293,\\\"gl-vao\\\":353,\\\"is-string-blank\\\":450,\\\"typedarray-pool\\\":609}],327:[function(t,e,r){\\\"use strict\\\";var n=t(\\\"glslify\\\");r.boxVertex=n([\\\"precision mediump float;\\\\n#define GLSLIFY 1\\\\n\\\\nattribute vec2 vertex;\\\\n\\\\nuniform vec2 cornerA, cornerB;\\\\n\\\\nvoid main() {\\\\n  gl_Position = vec4(mix(cornerA, cornerB, vertex), 0, 1);\\\\n}\\\\n\\\"]),r.boxFragment=n([\\\"precision mediump float;\\\\n#define GLSLIFY 1\\\\n\\\\nuniform vec4 color;\\\\n\\\\nvoid main() {\\\\n  gl_FragColor = color;\\\\n}\\\\n\\\"])},{glslify:328}],328:[function(t,e,r){arguments[4][257][0].apply(r,arguments)},{dup:257}],329:[function(t,e,r){\\\"use strict\\\";var n=t(\\\"gl-shader\\\"),i=t(\\\"gl-buffer\\\"),a=t(\\\"./lib/shaders\\\");function o(t,e,r){this.plot=t,this.boxBuffer=e,this.boxShader=r,this.enabled=!0,this.selectBox=[1/0,1/0,-1/0,-1/0],this.borderColor=[0,0,0,1],this.innerFill=!1,this.innerColor=[0,0,0,.25],this.outerFill=!0,this.outerColor=[0,0,0,.5],this.borderWidth=10}e.exports=function(t,e){var r=t.gl,s=i(r,[0,0,0,1,1,0,1,1]),l=n(r,a.boxVertex,a.boxFragment),c=new o(t,s,l);return c.update(e),t.addOverlay(c),c};var s=o.prototype;s.draw=function(){if(this.enabled){var t=this.plot,e=this.selectBox,r=this.borderWidth,n=(this.innerFill,this.innerColor),i=(this.outerFill,this.outerColor),a=this.borderColor,o=t.box,s=t.screenBox,l=t.dataBox,c=t.viewBox,u=t.pixelRatio,f=(e[0]-l[0])*(c[2]-c[0])/(l[2]-l[0])+c[0],h=(e[1]-l[1])*(c[3]-c[1])/(l[3]-l[1])+c[1],p=(e[2]-l[0])*(c[2]-c[0])/(l[2]-l[0])+c[0],d=(e[3]-l[1])*(c[3]-c[1])/(l[3]-l[1])+c[1];if(f=Math.max(f,c[0]),h=Math.max(h,c[1]),p=Math.min(p,c[2]),d=Math.min(d,c[3]),!(p<f||d<h)){o.bind();var m=s[2]-s[0],g=s[3]-s[1];if(this.outerFill&&(o.drawBox(0,0,m,h,i),o.drawBox(0,h,f,d,i),o.drawBox(0,d,m,g,i),o.drawBox(p,h,m,d,i)),this.innerFill&&o.drawBox(f,h,p,d,n),r>0){var v=r*u;o.drawBox(f-v,h-v,p+v,h+v,a),o.drawBox(f-v,d-v,p+v,d+v,a),o.drawBox(f-v,h-v,f+v,d+v,a),o.drawBox(p-v,h-v,p+v,d+v,a)}}}},s.update=function(t){t=t||{},this.innerFill=!!t.innerFill,this.outerFill=!!t.outerFill,this.innerColor=(t.innerColor||[0,0,0,.5]).slice(),this.outerColor=(t.outerColor||[0,0,0,.5]).slice(),this.borderColor=(t.borderColor||[0,0,0,1]).slice(),this.borderWidth=t.borderWidth||0,this.selectBox=(t.selectBox||this.selectBox).slice()},s.dispose=function(){this.boxBuffer.dispose(),this.boxShader.dispose(),this.plot.removeOverlay(this)}},{\\\"./lib/shaders\\\":327,\\\"gl-buffer\\\":259,\\\"gl-shader\\\":331}],330:[function(t,e,r){\\\"use strict\\\";e.exports=function(t,e){var r=e[0],a=e[1],o=n(t,r,a,{}),s=i.mallocUint8(r*a*4);return new l(t,o,s)};var n=t(\\\"gl-fbo\\\"),i=t(\\\"typedarray-pool\\\"),a=t(\\\"ndarray\\\"),o=t(\\\"bit-twiddle\\\").nextPow2;function s(t,e,r,n,i){this.coord=[t,e],this.id=r,this.value=n,this.distance=i}function 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i=0|Math.min(Math.max(t-r,0),n[0]),o=0|Math.min(Math.max(t+r,0),n[0]),l=0|Math.min(Math.max(e-r,0),n[1]),c=0|Math.min(Math.max(e+r,0),n[1]);if(o<=i||c<=l)return null;var u=[o-i,c-l],f=a(this.buffer,[u[0],u[1],4],[4,4*n[0],1],4*(i+n[0]*l)),h=function(t,e,r){for(var n=1e8,i=-1,a=-1,o=t.shape[0],s=t.shape[1],l=0;l<o;l++)for(var c=0;c<s;c++){var u=t.get(l,c,0),f=t.get(l,c,1),h=t.get(l,c,2),p=t.get(l,c,3);if(u<255||f<255||h<255||p<255){var d=e-l,m=r-c,g=d*d+m*m;g<n&&(n=g,i=l,a=c)}}return[i,a,n]}(f.hi(u[0],u[1],1),r,r),p=h[0],d=h[1];return p<0||Math.pow(this.radius,2)<h[2]?null:new s(p+i|0,d+l|0,f.get(p,d,0),[f.get(p,d,1),f.get(p,d,2),f.get(p,d,3)],Math.sqrt(h[2]))},c.dispose=function(){this.gl&&(this.fbo.dispose(),i.free(this.buffer),this.gl=null,this._readTimeout&&clearTimeout(this._readTimeout))}},{\\\"bit-twiddle\\\":100,\\\"gl-fbo\\\":268,ndarray:475,\\\"typedarray-pool\\\":609}],331:[function(t,e,r){\\\"use strict\\\";var n=t(\\\"./lib/create-uniforms\\\"),i=t(\\\"./lib/create-attributes\\\"),a=t(\\\"./lib/reflect\\\"),o=t(\\\"./lib/shader-cache\\\"),s=t(\\\"./lib/runtime-reflect\\\"),l=t(\\\"./lib/GLError\\\");function c(t){this.gl=t,this.gl.lastAttribCount=0,this._vref=this._fref=this._relink=this.vertShader=this.fragShader=this.program=this.attributes=this.uniforms=this.types=null}var u=c.prototype;function f(t,e){return t.name<e.name?-1:1}u.bind=function(){var t;this.program||this._relink();var e=this.gl.getProgramParameter(this.program,this.gl.ACTIVE_ATTRIBUTES),r=this.gl.lastAttribCount;if(e>r)for(t=r;t<e;t++)this.gl.enableVertexAttribArray(t);else if(r>e)for(t=e;t<r;t++)this.gl.disableVertexAttribArray(t);this.gl.lastAttribCount=e,this.gl.useProgram(this.program)},u.dispose=function(){for(var t=this.gl.lastAttribCount,e=0;e<t;e++)this.gl.disableVertexAttribArray(e);this.gl.lastAttribCount=0,this._fref&&this._fref.dispose(),this._vref&&this._vref.dispose(),this.attributes=this.types=this.vertShader=this.fragShader=this.program=this._relink=this._fref=this._vref=null},u.update=function(t,e,r,c){if(!e||1===arguments.length){var u=t;t=u.vertex,e=u.fragment,r=u.uniforms,c=u.attributes}var h=this,p=h.gl,d=h._vref;h._vref=o.shader(p,p.VERTEX_SHADER,t),d&&d.dispose(),h.vertShader=h._vref.shader;var m=this._fref;if(h._fref=o.shader(p,p.FRAGMENT_SHADER,e),m&&m.dispose(),h.fragShader=h._fref.shader,!r||!c){var g=p.createProgram();if(p.attachShader(g,h.fragShader),p.attachShader(g,h.vertShader),p.linkProgram(g),!p.getProgramParameter(g,p.LINK_STATUS)){var v=p.getProgramInfoLog(g);throw new l(v,\\\"Error linking program:\\\"+v)}r=r||s.uniforms(p,g),c=c||s.attributes(p,g),p.deleteProgram(g)}(c=c.slice()).sort(f);var y,x=[],b=[],_=[];for(y=0;y<c.length;++y){var w=c[y];if(w.type.indexOf(\\\"mat\\\")>=0){for(var T=0|w.type.charAt(w.type.length-1),k=new Array(T),M=0;M<T;++M)k[M]=_.length,b.push(w.name+\\\"[\\\"+M+\\\"]\\\"),\\\"number\\\"==typeof w.location?_.push(w.location+M):Array.isArray(w.location)&&w.location.length===T&&\\\"number\\\"==typeof w.location[M]?_.push(0|w.location[M]):_.push(-1);x.push({name:w.name,type:w.type,locations:k})}else x.push({name:w.name,type:w.type,locations:[_.length]}),b.push(w.name),\\\"number\\\"==typeof w.location?_.push(0|w.location):_.push(-1)}var A=0;for(y=0;y<_.length;++y)if(_[y]<0){for(;_.indexOf(A)>=0;)A+=1;_[y]=A}var S=new Array(r.length);function E(){h.program=o.program(p,h._vref,h._fref,b,_);for(var t=0;t<r.length;++t)S[t]=p.getUniformLocation(h.program,r[t].name)}E(),h._relink=E,h.types={uniforms:a(r),attributes:a(c)},h.attributes=i(p,h,x,_),Object.defineProperty(h,\\\"uniforms\\\",n(p,h,r,S))},e.exports=function(t,e,r,n,i){var a=new c(t);return a.update(e,r,n,i),a}},{\\\"./lib/GLError\\\":332,\\\"./lib/create-attributes\\\":333,\\\"./lib/create-uniforms\\\":334,\\\"./lib/reflect\\\":335,\\\"./lib/runtime-reflect\\\":336,\\\"./lib/shader-cache\\\":337}],332:[function(t,e,r){function n(t,e,r){this.shortMessage=e||\\\"\\\",this.longMessage=r||\\\"\\\",this.rawError=t||\\\"\\\",this.message=\\\"gl-shader: \\\"+(e||t||\\\"\\\")+(r?\\\"\\\\n\\\"+r:\\\"\\\"),this.stack=(new Error).stack}n.prototype=new Error,n.prototype.name=\\\"GLError\\\",n.prototype.constructor=n,e.exports=n},{}],333:[function(t,e,r){\\\"use strict\\\";e.exports=function(t,e,r,i){for(var a={},l=0,c=r.length;l<c;++l){var u=r[l],f=u.name,h=u.type,p=u.locations;switch(h){case\\\"bool\\\":case\\\"int\\\":case\\\"float\\\":o(t,e,p[0],i,1,a,f);break;default:if(h.indexOf(\\\"vec\\\")>=0){if((d=h.charCodeAt(h.length-1)-48)<2||d>4)throw new n(\\\"\\\",\\\"Invalid data type for attribute \\\"+f+\\\": \\\"+h);o(t,e,p[0],i,d,a,f)}else{if(!(h.indexOf(\\\"mat\\\")>=0))throw 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l=s[0]+(n[0]-o[0])/(o[2]-o[0])*(s[2]-s[0]),c=s[1]+(n[1]-o[1])/(o[3]-o[1])*(s[3]-s[1]);t[0]&&a.drawLine(l,c,s[0],c,e[0],r[0]),t[1]&&a.drawLine(l,c,l,s[1],e[1],r[1]),t[2]&&a.drawLine(l,c,s[2],c,e[2],r[2]),t[3]&&a.drawLine(l,c,l,s[3],e[3],r[3])}},i.dispose=function(){this.plot.removeOverlay(this)}},{}],339:[function(t,e,r){arguments[4][257][0].apply(r,arguments)},{dup:257}],340:[function(t,e,r){\\\"use strict\\\";var n=t(\\\"glslify\\\"),i=t(\\\"gl-shader\\\"),a=n([\\\"precision mediump float;\\\\n#define GLSLIFY 1\\\\n\\\\nattribute vec3 position, color;\\\\nattribute float weight;\\\\n\\\\nuniform mat4 model, view, projection;\\\\nuniform vec3 coordinates[3];\\\\nuniform vec4 colors[3];\\\\nuniform vec2 screenShape;\\\\nuniform float lineWidth;\\\\n\\\\nvarying vec4 fragColor;\\\\n\\\\nvoid main() {\\\\n  vec3 vertexPosition = mix(coordinates[0],\\\\n    mix(coordinates[2], coordinates[1], 0.5 * (position + 1.0)), abs(position));\\\\n\\\\n  vec4 clipPos = projection * view * model * 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t&&(this.colors=t.colors),\\\"enabled\\\"in t&&(this.enabled=t.enabled),\\\"drawSides\\\"in t&&(this.drawSides=t.drawSides))},l.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()}},{\\\"./shaders/index\\\":340,\\\"gl-buffer\\\":259,\\\"gl-vao\\\":353}],342:[function(t,e,r){var n=t(\\\"glslify\\\"),i=n([\\\"precision highp float;\\\\n\\\\nprecision highp float;\\\\n#define GLSLIFY 1\\\\n\\\\nvec3 getOrthogonalVector(vec3 v) {\\\\n  // Return up-vector for only-z vector.\\\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\\\n  // Assign z = 0, x = -b, y = a:\\\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\\\n    return normalize(vec3(-v.y, v.x, 0.0));\\\\n  } else {\\\\n    return normalize(vec3(0.0, v.z, -v.y));\\\\n  }\\\\n}\\\\n\\\\n// Calculate the tube vertex and normal at the given index.\\\\n//\\\\n// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\\\\n//\\\\n// Each tube segment is made up of a ring of vertices.\\\\n// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\\\\n// The indexes of tube segments run from 0 to 8.\\\\n//\\\\nvec3 getTubePosition(vec3 d, float index, out vec3 normal) {\\\\n  float segmentCount = 8.0;\\\\n\\\\n  float angle = 2.0 * 3.14159 * (index / segmentCount);\\\\n\\\\n  vec3 u = getOrthogonalVector(d);\\\\n  vec3 v = normalize(cross(u, d));\\\\n\\\\n  vec3 x = u * cos(angle) * length(d);\\\\n  vec3 y = v * sin(angle) * length(d);\\\\n  vec3 v3 = x + y;\\\\n\\\\n  normal = normalize(v3);\\\\n\\\\n  return v3;\\\\n}\\\\n\\\\nattribute vec4 vector;\\\\nattribute vec4 color, position;\\\\nattribute vec2 uv;\\\\n\\\\nuniform float vectorScale, tubeScale;\\\\nuniform mat4 model, view, projection, inverseModel;\\\\nuniform vec3 eyePosition, lightPosition;\\\\n\\\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\\\nvarying vec4 f_color;\\\\nvarying vec2 f_uv;\\\\n\\\\nvoid main() {\\\\n  // Scale the vector magnitude to stay constant with\\\\n  // model & view changes.\\\\n  vec3 normal;\\\\n  vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\\\\n  vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\\\n\\\\n  //Lighting geometry parameters\\\\n  vec4 cameraCoordinate = view * tubePosition;\\\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\\\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\\\\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\\\\n  f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\\\n\\\\n  // vec4 m_position  = model * vec4(tubePosition, 1.0);\\\\n  vec4 t_position  = view * tubePosition;\\\\n  gl_Position      = projection * t_position;\\\\n\\\\n  f_color          = color;\\\\n  f_data           = tubePosition.xyz;\\\\n  f_position       = position.xyz;\\\\n  f_uv             = uv;\\\\n}\\\\n\\\"]),a=n([\\\"#extension GL_OES_standard_derivatives : enable\\\\n\\\\nprecision highp float;\\\\n#define GLSLIFY 1\\\\n\\\\nfloat beckmannDistribution(float x, float roughness) {\\\\n  float NdotH = max(x, 0.0001);\\\\n  float cos2Alpha = NdotH * NdotH;\\\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\\\n  float roughness2 = roughness * roughness;\\\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\\\n  return exp(tan2Alpha / roughness2) / denom;\\\\n}\\\\n\\\\nfloat cookTorranceSpecular(\\\\n  vec3 lightDirection,\\\\n  vec3 viewDirection,\\\\n  vec3 surfaceNormal,\\\\n  float roughness,\\\\n  float fresnel) {\\\\n\\\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\\\n\\\\n  //Half angle vector\\\\n  vec3 H = normalize(lightDirection + viewDirection);\\\\n\\\\n  //Geometric term\\\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\\\n  float G = min(1.0, min(G1, G2));\\\\n  \\\\n  //Distribution term\\\\n  float D = beckmannDistribution(NdotH, roughness);\\\\n\\\\n  //Fresnel term\\\\n  float F = pow(1.0 - VdotN, fresnel);\\\\n\\\\n  //Multiply terms and done\\\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\\\n}\\\\n\\\\nbool outOfRange(float a, float b, float p) {\\\\n  return ((p > max(a, b)) || \\\\n          (p < min(a, b)));\\\\n}\\\\n\\\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\\\n  return (outOfRange(a.x, b.x, p.x) ||\\\\n          outOfRange(a.y, b.y, p.y));\\\\n}\\\\n\\\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\\\n  return (outOfRange(a.x, b.x, p.x) ||\\\\n          outOfRange(a.y, b.y, p.y) ||\\\\n          outOfRange(a.z, b.z, p.z));\\\\n}\\\\n\\\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\\\n}\\\\n\\\\nuniform vec3 clipBounds[2];\\\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\\\nuniform sampler2D texture;\\\\n\\\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\\\nvarying vec4 f_color;\\\\nvarying vec2 f_uv;\\\\n\\\\nvoid main() {\\\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\\\n  vec3 N = normalize(f_normal);\\\\n  vec3 L = normalize(f_lightDirection);\\\\n  vec3 V = normalize(f_eyeDirection);\\\\n\\\\n  if(gl_FrontFacing) {\\\\n    N = -N;\\\\n  }\\\\n\\\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\\\n\\\\n  vec4 surfaceColor = f_color * texture2D(texture, f_uv);\\\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\\\n\\\\n  gl_FragColor = litColor * opacity;\\\\n}\\\\n\\\"]),o=n([\\\"precision highp float;\\\\n\\\\nprecision highp float;\\\\n#define GLSLIFY 1\\\\n\\\\nvec3 getOrthogonalVector(vec3 v) {\\\\n  // Return up-vector for only-z vector.\\\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\\\n  // Assign z = 0, x = -b, y = a:\\\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\\\n    return normalize(vec3(-v.y, v.x, 0.0));\\\\n  } else {\\\\n    return normalize(vec3(0.0, v.z, -v.y));\\\\n  }\\\\n}\\\\n\\\\n// Calculate the tube vertex and normal at the given index.\\\\n//\\\\n// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\\\\n//\\\\n// Each tube segment is made up of a ring of vertices.\\\\n// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\\\\n// The indexes of tube segments run from 0 to 8.\\\\n//\\\\nvec3 getTubePosition(vec3 d, float index, out vec3 normal) {\\\\n  float segmentCount = 8.0;\\\\n\\\\n  float angle = 2.0 * 3.14159 * (index / segmentCount);\\\\n\\\\n  vec3 u = getOrthogonalVector(d);\\\\n  vec3 v = normalize(cross(u, d));\\\\n\\\\n  vec3 x = u * cos(angle) * length(d);\\\\n  vec3 y = v * sin(angle) * length(d);\\\\n  vec3 v3 = x + y;\\\\n\\\\n  normal = normalize(v3);\\\\n\\\\n  return v3;\\\\n}\\\\n\\\\nattribute vec4 vector;\\\\nattribute vec4 position;\\\\nattribute vec4 id;\\\\n\\\\nuniform mat4 model, view, projection;\\\\nuniform float tubeScale;\\\\n\\\\nvarying vec3 f_position;\\\\nvarying vec4 f_id;\\\\n\\\\nvoid main() {\\\\n  vec3 normal;\\\\n  vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\\\\n  vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\\\n\\\\n  gl_Position = projection * view * tubePosition;\\\\n  f_id        = id;\\\\n  f_position  = position.xyz;\\\\n}\\\\n\\\"]),s=n([\\\"precision highp float;\\\\n#define GLSLIFY 1\\\\n\\\\nbool outOfRange(float a, float b, float p) {\\\\n  return ((p > max(a, b)) || \\\\n          (p < min(a, b)));\\\\n}\\\\n\\\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\\\n  return (outOfRange(a.x, b.x, p.x) ||\\\\n          outOfRange(a.y, b.y, p.y));\\\\n}\\\\n\\\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\\\n  return (outOfRange(a.x, b.x, p.x) ||\\\\n          outOfRange(a.y, b.y, p.y) ||\\\\n          outOfRange(a.z, b.z, p.z));\\\\n}\\\\n\\\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\\\n}\\\\n\\\\nuniform vec3  clipBounds[2];\\\\nuniform float pickId;\\\\n\\\\nvarying vec3 f_position;\\\\nvarying vec4 f_id;\\\\n\\\\nvoid main() {\\\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\\\n\\\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\\\n}\\\"]);r.meshShader={vertex:i,fragment:a,attributes:[{name:\\\"position\\\",type:\\\"vec4\\\"},{name:\\\"color\\\",type:\\\"vec4\\\"},{name:\\\"uv\\\",type:\\\"vec2\\\"},{name:\\\"vector\\\",type:\\\"vec4\\\"}]},r.pickShader={vertex:o,fragment:s,attributes:[{name:\\\"position\\\",type:\\\"vec4\\\"},{name:\\\"id\\\",type:\\\"vec4\\\"},{name:\\\"vector\\\",type:\\\"vec4\\\"}]}},{glslify:343}],343:[function(t,e,r){arguments[4][257][0].apply(r,arguments)},{dup:257}],344:[function(t,e,r){\\\"use strict\\\";var n=t(\\\"gl-vec3\\\"),i=t(\\\"gl-vec4\\\"),a=[\\\"xyz\\\",\\\"xzy\\\",\\\"yxz\\\",\\\"yzx\\\",\\\"zxy\\\",\\\"zyx\\\"],o=function(t,e,r,a){for(var o=0,s=0;s<t.length;s++)for(var l=t[s].velocities,c=0;c<l.length;c++)o=Math.max(o,n.length(l[c]));var u=t.map((function(t){return function(t,e,r,a){for(var o=t.points,s=t.velocities,l=t.divergences,c=[],u=[],f=[],h=[],p=[],d=[],m=0,g=0,v=i.create(),y=i.create(),x=0;x<o.length;x++){var b=o[x],_=s[x],w=l[x];0===e&&(w=.05*r),g=n.length(_)/a,v=i.create(),n.copy(v,_),v[3]=w;for(var T=0;T<8;T++)p[T]=[b[0],b[1],b[2],T];if(h.length>0)for(T=0;T<8;T++){var k=(T+1)%8;c.push(h[T],p[T],p[k],p[k],h[k],h[T]),f.push(y,v,v,v,y,y),d.push(m,g,g,g,m,m);var M=c.length;u.push([M-6,M-5,M-4],[M-3,M-2,M-1])}var A=h;h=p,p=A;var S=y;y=v,v=S;var E=m;m=g,g=E}return{positions:c,cells:u,vectors:f,vertexIntensity:d}}(t,r,a,o)})),f=[],h=[],p=[],d=[];for(s=0;s<u.length;s++){var m=u[s],g=f.length;f=f.concat(m.positions),p=p.concat(m.vectors),d=d.concat(m.vertexIntensity);for(c=0;c<m.cells.length;c++){var v=m.cells[c],y=[];h.push(y);for(var x=0;x<v.length;x++)y.push(v[x]+g)}}return{positions:f,cells:h,vectors:p,vertexIntensity:d,colormap:e}},s=function(t,e){var r,n=t.length;for(r=0;r<n;r++){var i=t[r];if(i===e)return r;if(i>e)return r-1}return r},l=function(t,e,r){return t<e?e:t>r?r:t},c=function(t){var e=1/0;t.sort((function(t,e){return t-e}));for(var r=t.length,n=1;n<r;n++){var i=Math.abs(t[n]-t[n-1]);i<e&&(e=i)}return e};e.exports=function(t,e){var r=t.startingPositions,i=t.maxLength||1e3,u=t.tubeSize||1,f=t.absoluteTubeSize,h=t.gridFill||\\\"+x+y+z\\\",p={};-1!==h.indexOf(\\\"-x\\\")&&(p.reversedX=!0),-1!==h.indexOf(\\\"-y\\\")&&(p.reversedY=!0),-1!==h.indexOf(\\\"-z\\\")&&(p.reversedZ=!0),p.filled=a.indexOf(h.replace(/-/g,\\\"\\\").replace(/\\\\+/g,\\\"\\\"));var d=t.getVelocity||function(e){return function(t,e,r){var i=e.vectors,a=e.meshgrid,o=t[0],c=t[1],u=t[2],f=a[0].length,h=a[1].length,p=a[2].length,d=s(a[0],o),m=s(a[1],c),g=s(a[2],u),v=d+1,y=m+1,x=g+1;if(d=l(d,0,f-1),v=l(v,0,f-1),m=l(m,0,h-1),y=l(y,0,h-1),g=l(g,0,p-1),x=l(x,0,p-1),d<0||m<0||g<0||v>f-1||y>h-1||x>p-1)return n.create();var b,_,w,T,k,M,A=a[0][d],S=a[0][v],E=a[1][m],L=a[1][y],C=a[2][g],P=(o-A)/(S-A),I=(c-E)/(L-E),O=(u-C)/(a[2][x]-C);switch(isFinite(P)||(P=.5),isFinite(I)||(I=.5),isFinite(O)||(O=.5),r.reversedX&&(d=f-1-d,v=f-1-v),r.reversedY&&(m=h-1-m,y=h-1-y),r.reversedZ&&(g=p-1-g,x=p-1-x),r.filled){case 5:k=g,M=x,w=m*p,T=y*p,b=d*p*h,_=v*p*h;break;case 4:k=g,M=x,b=d*p,_=v*p,w=m*p*f,T=y*p*f;break;case 3:w=m,T=y,k=g*h,M=x*h,b=d*h*p,_=v*h*p;break;case 2:w=m,T=y,b=d*h,_=v*h,k=g*h*f,M=x*h*f;break;case 1:b=d,_=v,k=g*f,M=x*f,w=m*f*p,T=y*f*p;break;default:b=d,_=v,w=m*f,T=y*f,k=g*f*h,M=x*f*h}var z=i[b+w+k],D=i[b+w+M],R=i[b+T+k],F=i[b+T+M],B=i[_+w+k],N=i[_+w+M],j=i[_+T+k],U=i[_+T+M],V=n.create(),q=n.create(),H=n.create(),G=n.create();n.lerp(V,z,B,P),n.lerp(q,D,N,P),n.lerp(H,R,j,P),n.lerp(G,F,U,P);var Y=n.create(),W=n.create();n.lerp(Y,V,H,I),n.lerp(W,q,G,I);var X=n.create();return n.lerp(X,Y,W,O),X}(e,t,p)},m=t.getDivergence||function(t,e){var r=n.create(),i=1e-4;n.add(r,t,[i,0,0]);var a=d(r);n.subtract(a,a,e),n.scale(a,a,1/i),n.add(r,t,[0,i,0]);var o=d(r);n.subtract(o,o,e),n.scale(o,o,1/i),n.add(r,t,[0,0,i]);var s=d(r);return n.subtract(s,s,e),n.scale(s,s,1/i),n.add(r,a,o),n.add(r,r,s),r},g=[],v=e[0][0],y=e[0][1],x=e[0][2],b=e[1][0],_=e[1][1],w=e[1][2],T=function(t){var e=t[0],r=t[1],n=t[2];return!(e<v||e>b||r<y||r>_||n<x||n>w)},k=10*n.distance(e[0],e[1])/i,M=k*k,A=1,S=0,E=r.length;E>1&&(A=function(t){for(var e=[],r=[],n=[],i={},a={},o={},s=t.length,l=0;l<s;l++){var u=t[l],f=u[0],h=u[1],p=u[2];i[f]||(e.push(f),i[f]=!0),a[h]||(r.push(h),a[h]=!0),o[p]||(n.push(p),o[p]=!0)}var d=c(e),m=c(r),g=c(n),v=Math.min(d,m,g);return isFinite(v)?v:1}(r));for(var L=0;L<E;L++){var C=n.create();n.copy(C,r[L]);var P=[C],I=[],O=d(C),z=C;I.push(O);var D=[],R=m(C,O),F=n.length(R);isFinite(F)&&F>S&&(S=F),D.push(F),g.push({points:P,velocities:I,divergences:D});for(var B=0;B<100*i&&P.length<i&&T(C);){B++;var N=n.clone(O),j=n.squaredLength(N);if(0===j)break;if(j>M&&n.scale(N,N,k/Math.sqrt(j)),n.add(N,N,C),O=d(N),n.squaredDistance(z,N)-M>-1e-4*M){P.push(N),z=N,I.push(O);R=m(N,O),F=n.length(R);isFinite(F)&&F>S&&(S=F),D.push(F)}C=N}}var U=o(g,t.colormap,S,A);return f?U.tubeScale=f:(0===S&&(S=1),U.tubeScale=.5*u*A/S),U};var u=t(\\\"./lib/shaders\\\"),f=t(\\\"gl-cone3d\\\").createMesh;e.exports.createTubeMesh=function(t,e){return f(t,e,{shaders:u,traceType:\\\"streamtube\\\"})}},{\\\"./lib/shaders\\\":342,\\\"gl-cone3d\\\":260,\\\"gl-vec3\\\":372,\\\"gl-vec4\\\":408}],345:[function(t,e,r){var n=t(\\\"gl-shader\\\"),i=t(\\\"glslify\\\"),a=i([\\\"precision highp float;\\\\n#define GLSLIFY 1\\\\n\\\\nattribute vec4 uv;\\\\nattribute vec3 f;\\\\nattribute vec3 normal;\\\\n\\\\nuniform vec3 objectOffset;\\\\nuniform mat4 model, view, projection, inverseModel;\\\\nuniform vec3 lightPosition, eyePosition;\\\\nuniform sampler2D colormap;\\\\n\\\\nvarying float value, kill;\\\\nvarying vec3 worldCoordinate;\\\\nvarying vec2 planeCoordinate;\\\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\\\nvarying vec4 vColor;\\\\n\\\\nvoid main() {\\\\n  vec3 localCoordinate = vec3(uv.zw, f.x);\\\\n  worldCoordinate = objectOffset + localCoordinate;\\\\n  vec4 worldPosition = model * vec4(worldCoordinate, 1.0);\\\\n  vec4 clipPosition = projection * view * worldPosition;\\\\n  gl_Position = clipPosition;\\\\n  kill = f.y;\\\\n  value = f.z;\\\\n  planeCoordinate = uv.xy;\\\\n\\\\n  vColor = texture2D(colormap, vec2(value, value));\\\\n\\\\n  //Lighting geometry parameters\\\\n  vec4 cameraCoordinate = view * worldPosition;\\\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\\\n  lightDirection = lightPosition - cameraCoordinate.xyz;\\\\n  eyeDirection   = eyePosition - cameraCoordinate.xyz;\\\\n  surfaceNormal  = normalize((vec4(normal,0) * inverseModel).xyz);\\\\n}\\\\n\\\"]),o=i([\\\"precision highp float;\\\\n#define GLSLIFY 1\\\\n\\\\nfloat beckmannDistribution(float x, float roughness) {\\\\n  float NdotH = max(x, 0.0001);\\\\n  float cos2Alpha = NdotH * NdotH;\\\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\\\n  float roughness2 = roughness * roughness;\\\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\\\n  return exp(tan2Alpha / roughness2) / denom;\\\\n}\\\\n\\\\nfloat beckmannSpecular(\\\\n  vec3 lightDirection,\\\\n  vec3 viewDirection,\\\\n  vec3 surfaceNormal,\\\\n  float roughness) {\\\\n  return beckmannDistribution(dot(surfaceNormal, normalize(lightDirection + viewDirection)), roughness);\\\\n}\\\\n\\\\nbool outOfRange(float a, float b, float p) {\\\\n  return ((p > max(a, b)) || \\\\n          (p < min(a, b)));\\\\n}\\\\n\\\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\\\n  return (outOfRange(a.x, b.x, p.x) ||\\\\n          outOfRange(a.y, b.y, p.y));\\\\n}\\\\n\\\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\\\n  return (outOfRange(a.x, b.x, p.x) ||\\\\n          outOfRange(a.y, b.y, p.y) ||\\\\n          outOfRange(a.z, b.z, p.z));\\\\n}\\\\n\\\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\\\n}\\\\n\\\\nuniform vec3 lowerBound, upperBound;\\\\nuniform float contourTint;\\\\nuniform vec4 contourColor;\\\\nuniform sampler2D colormap;\\\\nuniform vec3 clipBounds[2];\\\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\\\nuniform float vertexColor;\\\\n\\\\nvarying float value, kill;\\\\nvarying vec3 worldCoordinate;\\\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\\\nvarying vec4 vColor;\\\\n\\\\nvoid main() {\\\\n  if (\\\\n    kill > 0.0 ||\\\\n    vColor.a == 0.0 ||\\\\n    outOfRange(clipBounds[0], clipBounds[1], worldCoordinate)\\\\n  ) discard;\\\\n\\\\n  vec3 N = normalize(surfaceNormal);\\\\n  vec3 V = normalize(eyeDirection);\\\\n  vec3 L = normalize(lightDirection);\\\\n\\\\n  if(gl_FrontFacing) {\\\\n    N = -N;\\\\n  }\\\\n\\\\n  float specular = max(beckmannSpecular(L, V, N, roughness), 0.);\\\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\\\n\\\\n  //decide how to interpolate color \\\\u2014 in vertex or in fragment\\\\n  vec4 surfaceColor =\\\\n    step(vertexColor, .5) * texture2D(colormap, vec2(value, value)) +\\\\n    step(.5, vertexColor) * vColor;\\\\n\\\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\\\n\\\\n  gl_FragColor = mix(litColor, contourColor, contourTint) * opacity;\\\\n}\\\\n\\\"]),s=i([\\\"precision highp float;\\\\n#define GLSLIFY 1\\\\n\\\\nattribute vec4 uv;\\\\nattribute float f;\\\\n\\\\nuniform vec3 objectOffset;\\\\nuniform mat3 permutation;\\\\nuniform mat4 model, view, projection;\\\\nuniform float height, zOffset;\\\\nuniform sampler2D colormap;\\\\n\\\\nvarying float value, kill;\\\\nvarying vec3 worldCoordinate;\\\\nvarying vec2 planeCoordinate;\\\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\\\nvarying vec4 vColor;\\\\n\\\\nvoid main() {\\\\n  vec3 dataCoordinate = permutation * vec3(uv.xy, height);\\\\n  worldCoordinate = objectOffset + dataCoordinate;\\\\n  vec4 worldPosition = model * vec4(worldCoordinate, 1.0);\\\\n\\\\n  vec4 clipPosition = projection * view * worldPosition;\\\\n  clipPosition.z += zOffset;\\\\n\\\\n  gl_Position = clipPosition;\\\\n  value = f + objectOffset.z;\\\\n  kill = -1.0;\\\\n  planeCoordinate = uv.zw;\\\\n\\\\n  vColor = texture2D(colormap, vec2(value, value));\\\\n\\\\n  //Don't do lighting for contours\\\\n  surfaceNormal   = vec3(1,0,0);\\\\n  eyeDirection    = vec3(0,1,0);\\\\n  lightDirection  = vec3(0,0,1);\\\\n}\\\\n\\\"]),l=i([\\\"precision highp float;\\\\n#define GLSLIFY 1\\\\n\\\\nbool outOfRange(float a, float b, float p) {\\\\n  return ((p > max(a, b)) || \\\\n          (p < min(a, b)));\\\\n}\\\\n\\\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\\\n  return (outOfRange(a.x, b.x, p.x) ||\\\\n          outOfRange(a.y, b.y, p.y));\\\\n}\\\\n\\\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\\\n  return (outOfRange(a.x, b.x, p.x) ||\\\\n          outOfRange(a.y, b.y, p.y) ||\\\\n          outOfRange(a.z, b.z, p.z));\\\\n}\\\\n\\\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\\\n}\\\\n\\\\nuniform vec2 shape;\\\\nuniform vec3 clipBounds[2];\\\\nuniform float pickId;\\\\n\\\\nvarying float value, kill;\\\\nvarying vec3 worldCoordinate;\\\\nvarying vec2 planeCoordinate;\\\\nvarying vec3 surfaceNormal;\\\\n\\\\nvec2 splitFloat(float v) {\\\\n  float vh = 255.0 * v;\\\\n  float upper = floor(vh);\\\\n  float lower = fract(vh);\\\\n  return vec2(upper / 255.0, floor(lower * 16.0) / 16.0);\\\\n}\\\\n\\\\nvoid main() {\\\\n  if ((kill > 0.0) ||\\\\n      (outOfRange(clipBounds[0], clipBounds[1], worldCoordinate))) discard;\\\\n\\\\n  vec2 ux = splitFloat(planeCoordinate.x / shape.x);\\\\n  vec2 uy = splitFloat(planeCoordinate.y / shape.y);\\\\n  gl_FragColor = vec4(pickId, ux.x, uy.x, ux.y + (uy.y/16.0));\\\\n}\\\\n\\\"]);r.createShader=function(t){var e=n(t,a,o,null,[{name:\\\"uv\\\",type:\\\"vec4\\\"},{name:\\\"f\\\",type:\\\"vec3\\\"},{name:\\\"normal\\\",type:\\\"vec3\\\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},r.createPickShader=function(t){var e=n(t,a,l,null,[{name:\\\"uv\\\",type:\\\"vec4\\\"},{name:\\\"f\\\",type:\\\"vec3\\\"},{name:\\\"normal\\\",type:\\\"vec3\\\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},r.createContourShader=function(t){var e=n(t,s,o,null,[{name:\\\"uv\\\",type:\\\"vec4\\\"},{name:\\\"f\\\",type:\\\"float\\\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e},r.createPickContourShader=function(t){var e=n(t,s,l,null,[{name:\\\"uv\\\",type:\\\"vec4\\\"},{name:\\\"f\\\",type:\\\"float\\\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e}},{\\\"gl-shader\\\":331,glslify:434}],346:[function(t,e,r){\\\"use strict\\\";e.exports=function(t){var e=t.gl,r=y(e),n=b(e),s=x(e),l=_(e),c=i(e),u=a(e,[{buffer:c,size:4,stride:40,offset:0},{buffer:c,size:3,stride:40,offset:16},{buffer:c,size:3,stride:40,offset:28}]),f=i(e),h=a(e,[{buffer:f,size:4,stride:20,offset:0},{buffer:f,size:1,stride:20,offset:16}]),p=i(e),d=a(e,[{buffer:p,size:2,type:e.FLOAT}]),m=o(e,1,256,e.RGBA,e.UNSIGNED_BYTE);m.minFilter=e.LINEAR,m.magFilter=e.LINEAR;var g=new A(e,[0,0],[[0,0,0],[0,0,0]],r,n,c,u,m,s,l,f,h,p,d,[0,0,0]),v={levels:[[],[],[]]};for(var w in t)v[w]=t[w];return v.colormap=v.colormap||\\\"jet\\\",g.update(v),g};var n=t(\\\"bit-twiddle\\\"),i=t(\\\"gl-buffer\\\"),a=t(\\\"gl-vao\\\"),o=t(\\\"gl-texture2d\\\"),s=t(\\\"typedarray-pool\\\"),l=t(\\\"colormap\\\"),c=t(\\\"ndarray-ops\\\"),u=t(\\\"ndarray-pack\\\"),f=t(\\\"ndarray\\\"),h=t(\\\"surface-nets\\\"),p=t(\\\"gl-mat4/multiply\\\"),d=t(\\\"gl-mat4/invert\\\"),m=t(\\\"binary-search-bounds\\\"),g=t(\\\"ndarray-gradient\\\"),v=t(\\\"./lib/shaders\\\"),y=v.createShader,x=v.createContourShader,b=v.createPickShader,_=v.createPickContourShader,w=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],T=[[0,0],[0,1],[1,0],[1,1],[1,0],[0,1]],k=[[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0]];function M(t,e,r,n,i){this.position=t,this.index=e,this.uv=r,this.level=n,this.dataCoordinate=i}!function(){for(var t=0;t<3;++t){var e=k[t],r=(t+2)%3;e[(t+1)%3+0]=1,e[r+3]=1,e[t+6]=1}}();function A(t,e,r,n,i,a,o,l,c,u,h,p,d,m,g){this.gl=t,this.shape=e,this.bounds=r,this.objectOffset=g,this.intensityBounds=[],this._shader=n,this._pickShader=i,this._coordinateBuffer=a,this._vao=o,this._colorMap=l,this._contourShader=c,this._contourPickShader=u,this._contourBuffer=h,this._contourVAO=p,this._contourOffsets=[[],[],[]],this._contourCounts=[[],[],[]],this._vertexCount=0,this._pickResult=new M([0,0,0],[0,0],[0,0],[0,0,0],[0,0,0]),this._dynamicBuffer=d,this._dynamicVAO=m,this._dynamicOffsets=[0,0,0],this._dynamicCounts=[0,0,0],this.contourWidth=[1,1,1],this.contourLevels=[[1],[1],[1]],this.contourTint=[0,0,0],this.contourColor=[[.5,.5,.5,1],[.5,.5,.5,1],[.5,.5,.5,1]],this.showContour=!0,this.showSurface=!0,this.enableHighlight=[!0,!0,!0],this.highlightColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.highlightTint=[1,1,1],this.highlightLevel=[-1,-1,-1],this.enableDynamic=[!0,!0,!0],this.dynamicLevel=[NaN,NaN,NaN],this.dynamicColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.dynamicTint=[1,1,1],this.dynamicWidth=[1,1,1],this.axesBounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.surfaceProject=[!1,!1,!1],this.contourProject=[[!1,!1,!1],[!1,!1,!1],[!1,!1,!1]],this.colorBounds=[!1,!1],this._field=[f(s.mallocFloat(1024),[0,0]),f(s.mallocFloat(1024),[0,0]),f(s.mallocFloat(1024),[0,0])],this.pickId=1,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.snapToData=!1,this.pixelRatio=1,this.opacity=1,this.lightPosition=[10,1e4,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.vertexColor=0,this.dirty=!0}var S=A.prototype;S.genColormap=function(t,e){var r=!1,n=u([l({colormap:t,nshades:256,format:\\\"rgba\\\"}).map((function(t,n){var i=e?function(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;r<e.length;++r){if(e.length<2)return 1;if(e[r][0]===t)return e[r][1];if(e[r][0]>t&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}(n/255,e):t[3];return i<1&&(r=!0),[t[0],t[1],t[2],255*i]}))]);return c.divseq(n,255),this.hasAlphaScale=r,n},S.isTransparent=function(){return this.opacity<1||this.hasAlphaScale},S.isOpaque=function(){return!this.isTransparent()},S.pickSlots=1,S.setPickBase=function(t){this.pickId=t};var E=[0,0,0],L={showSurface:!1,showContour:!1,projections:[w.slice(),w.slice(),w.slice()],clipBounds:[[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]]]};function C(t,e){var r,n,i,a=e.axes&&e.axes.lastCubeProps.axis||E,o=e.showSurface,s=e.showContour;for(r=0;r<3;++r)for(o=o||e.surfaceProject[r],n=0;n<3;++n)s=s||e.contourProject[r][n];for(r=0;r<3;++r){var l=L.projections[r];for(n=0;n<16;++n)l[n]=0;for(n=0;n<4;++n)l[5*n]=1;l[5*r]=0,l[12+r]=e.axesBounds[+(a[r]>0)][r],p(l,t.model,l);var c=L.clipBounds[r];for(i=0;i<2;++i)for(n=0;n<3;++n)c[i][n]=t.clipBounds[i][n];c[0][r]=-1e8,c[1][r]=1e8}return L.showSurface=o,L.showContour=s,L}var P={model:w,view:w,projection:w,inverseModel:w.slice(),lowerBound:[0,0,0],upperBound:[0,0,0],colorMap:0,clipBounds:[[0,0,0],[0,0,0]],height:0,contourTint:0,contourColor:[0,0,0,1],permutation:[1,0,0,0,1,0,0,0,1],zOffset:-1e-4,objectOffset:[0,0,0],kambient:1,kdiffuse:1,kspecular:1,lightPosition:[1e3,1e3,1e3],eyePosition:[0,0,0],roughness:1,fresnel:1,opacity:1,vertexColor:0},I=w.slice(),O=[1,0,0,0,1,0,0,0,1];function z(t,e){t=t||{};var r=this.gl;r.disable(r.CULL_FACE),this._colorMap.bind(0);var n=P;n.model=t.model||w,n.view=t.view||w,n.projection=t.projection||w,n.lowerBound=[this.bounds[0][0],this.bounds[0][1],this.colorBounds[0]||this.bounds[0][2]],n.upperBound=[this.bounds[1][0],this.bounds[1][1],this.colorBounds[1]||this.bounds[1][2]],n.objectOffset=this.objectOffset,n.contourColor=this.contourColor[0],n.inverseModel=d(n.inverseModel,n.model);for(var i=0;i<2;++i)for(var a=n.clipBounds[i],o=0;o<3;++o)a[o]=Math.min(Math.max(this.clipBounds[i][o],-1e8),1e8);n.kambient=this.ambientLight,n.kdiffuse=this.diffuseLight,n.kspecular=this.specularLight,n.roughness=this.roughness,n.fresnel=this.fresnel,n.opacity=this.opacity,n.height=0,n.permutation=O,n.vertexColor=this.vertexColor;var s=I;for(p(s,n.view,n.model),p(s,n.projection,s),d(s,s),i=0;i<3;++i)n.eyePosition[i]=s[12+i]/s[15];var l=s[15];for(i=0;i<3;++i)l+=this.lightPosition[i]*s[4*i+3];for(i=0;i<3;++i){var c=s[12+i];for(o=0;o<3;++o)c+=s[4*o+i]*this.lightPosition[o];n.lightPosition[i]=c/l}var u=C(n,this);if(u.showSurface){for(this._shader.bind(),this._shader.uniforms=n,this._vao.bind(),this.showSurface&&this._vertexCount&&this._vao.draw(r.TRIANGLES,this._vertexCount),i=0;i<3;++i)this.surfaceProject[i]&&this.vertexCount&&(this._shader.uniforms.model=u.projections[i],this._shader.uniforms.clipBounds=u.clipBounds[i],this._vao.draw(r.TRIANGLES,this._vertexCount));this._vao.unbind()}if(u.showContour){var f=this._contourShader;n.kambient=1,n.kdiffuse=0,n.kspecular=0,n.opacity=1,f.bind(),f.uniforms=n;var h=this._contourVAO;for(h.bind(),i=0;i<3;++i)for(f.uniforms.permutation=k[i],r.lineWidth(this.contourWidth[i]*this.pixelRatio),o=0;o<this.contourLevels[i].length;++o)o===this.highlightLevel[i]?(f.uniforms.contourColor=this.highlightColor[i],f.uniforms.contourTint=this.highlightTint[i]):0!==o&&o-1!==this.highlightLevel[i]||(f.uniforms.contourColor=this.contourColor[i],f.uniforms.contourTint=this.contourTint[i]),this._contourCounts[i][o]&&(f.uniforms.height=this.contourLevels[i][o],h.draw(r.LINES,this._contourCounts[i][o],this._contourOffsets[i][o]));for(i=0;i<3;++i)for(f.uniforms.model=u.projections[i],f.uniforms.clipBounds=u.clipBounds[i],o=0;o<3;++o)if(this.contourProject[i][o]){f.uniforms.permutation=k[o],r.lineWidth(this.contourWidth[o]*this.pixelRatio);for(var m=0;m<this.contourLevels[o].length;++m)m===this.highlightLevel[o]?(f.uniforms.contourColor=this.highlightColor[o],f.uniforms.contourTint=this.highlightTint[o]):0!==m&&m-1!==this.highlightLevel[o]||(f.uniforms.contourColor=this.contourColor[o],f.uniforms.contourTint=this.contourTint[o]),this._contourCounts[o][m]&&(f.uniforms.height=this.contourLevels[o][m],h.draw(r.LINES,this._contourCounts[o][m],this._contourOffsets[o][m]))}for(h.unbind(),(h=this._dynamicVAO).bind(),i=0;i<3;++i)if(0!==this._dynamicCounts[i])for(f.uniforms.model=n.model,f.uniforms.clipBounds=n.clipBounds,f.uniforms.permutation=k[i],r.lineWidth(this.dynamicWidth[i]*this.pixelRatio),f.uniforms.contourColor=this.dynamicColor[i],f.uniforms.contourTint=this.dynamicTint[i],f.uniforms.height=this.dynamicLevel[i],h.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]),o=0;o<3;++o)this.contourProject[o][i]&&(f.uniforms.model=u.projections[o],f.uniforms.clipBounds=u.clipBounds[o],h.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]));h.unbind()}}S.draw=function(t){return z.call(this,t,!1)},S.drawTransparent=function(t){return z.call(this,t,!0)};var D={model:w,view:w,projection:w,inverseModel:w,clipBounds:[[0,0,0],[0,0,0]],height:0,shape:[0,0],pickId:0,lowerBound:[0,0,0],upperBound:[0,0,0],zOffset:0,objectOffset:[0,0,0],permutation:[1,0,0,0,1,0,0,0,1],lightPosition:[0,0,0],eyePosition:[0,0,0]};function R(t,e){return Array.isArray(t)?[e(t[0]),e(t[1]),e(t[2])]:[e(t),e(t),e(t)]}function F(t){return Array.isArray(t)?3===t.length?[t[0],t[1],t[2],1]:[t[0],t[1],t[2],t[3]]:[0,0,0,1]}function B(t){if(Array.isArray(t)){if(Array.isArray(t))return[F(t[0]),F(t[1]),F(t[2])];var e=F(t);return[e.slice(),e.slice(),e.slice()]}}S.drawPick=function(t){t=t||{};var e=this.gl;e.disable(e.CULL_FACE);var r=D;r.model=t.model||w,r.view=t.view||w,r.projection=t.projection||w,r.shape=this._field[2].shape,r.pickId=this.pickId/255,r.lowerBound=this.bounds[0],r.upperBound=this.bounds[1],r.objectOffset=this.objectOffset,r.permutation=O;for(var n=0;n<2;++n)for(var i=r.clipBounds[n],a=0;a<3;++a)i[a]=Math.min(Math.max(this.clipBounds[n][a],-1e8),1e8);var o=C(r,this);if(o.showSurface){for(this._pickShader.bind(),this._pickShader.uniforms=r,this._vao.bind(),this._vao.draw(e.TRIANGLES,this._vertexCount),n=0;n<3;++n)this.surfaceProject[n]&&(this._pickShader.uniforms.model=o.projections[n],this._pickShader.uniforms.clipBounds=o.clipBounds[n],this._vao.draw(e.TRIANGLES,this._vertexCount));this._vao.unbind()}if(o.showContour){var s=this._contourPickShader;s.bind(),s.uniforms=r;var l=this._contourVAO;for(l.bind(),a=0;a<3;++a)for(e.lineWidth(this.contourWidth[a]*this.pixelRatio),s.uniforms.permutation=k[a],n=0;n<this.contourLevels[a].length;++n)this._contourCounts[a][n]&&(s.uniforms.height=this.contourLevels[a][n],l.draw(e.LINES,this._contourCounts[a][n],this._contourOffsets[a][n]));for(n=0;n<3;++n)for(s.uniforms.model=o.projections[n],s.uniforms.clipBounds=o.clipBounds[n],a=0;a<3;++a)if(this.contourProject[n][a]){s.uniforms.permutation=k[a],e.lineWidth(this.contourWidth[a]*this.pixelRatio);for(var c=0;c<this.contourLevels[a].length;++c)this._contourCounts[a][c]&&(s.uniforms.height=this.contourLevels[a][c],l.draw(e.LINES,this._contourCounts[a][c],this._contourOffsets[a][c]))}l.unbind()}},S.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=this._field[2].shape,r=this._pickResult,n=e[0]*(t.value[0]+(t.value[2]>>4)/16)/255,i=Math.floor(n),a=n-i,o=e[1]*(t.value[1]+(15&t.value[2])/16)/255,s=Math.floor(o),l=o-s;i+=1,s+=1;var c=r.position;c[0]=c[1]=c[2]=0;for(var u=0;u<2;++u)for(var f=u?a:1-a,h=0;h<2;++h)for(var p=i+u,d=s+h,g=f*(h?l:1-l),v=0;v<3;++v)c[v]+=this._field[v].get(p,d)*g;for(var y=this._pickResult.level,x=0;x<3;++x)if(y[x]=m.le(this.contourLevels[x],c[x]),y[x]<0)this.contourLevels[x].length>0&&(y[x]=0);else if(y[x]<this.contourLevels[x].length-1){var b=this.contourLevels[x][y[x]],_=this.contourLevels[x][y[x]+1];Math.abs(b-c[x])>Math.abs(_-c[x])&&(y[x]+=1)}for(r.index[0]=a<.5?i:i+1,r.index[1]=l<.5?s:s+1,r.uv[0]=n/e[0],r.uv[1]=o/e[1],v=0;v<3;++v)r.dataCoordinate[v]=this._field[v].get(r.index[0],r.index[1]);return r},S.padField=function(t,e){var r=e.shape.slice(),n=t.shape.slice();c.assign(t.lo(1,1).hi(r[0],r[1]),e),c.assign(t.lo(1).hi(r[0],1),e.hi(r[0],1)),c.assign(t.lo(1,n[1]-1).hi(r[0],1),e.lo(0,r[1]-1).hi(r[0],1)),c.assign(t.lo(0,1).hi(1,r[1]),e.hi(1)),c.assign(t.lo(n[0]-1,1).hi(1,r[1]),e.lo(r[0]-1)),t.set(0,0,e.get(0,0)),t.set(0,n[1]-1,e.get(0,r[1]-1)),t.set(n[0]-1,0,e.get(r[0]-1,0)),t.set(n[0]-1,n[1]-1,e.get(r[0]-1,r[1]-1))},S.update=function(t){t=t||{},this.objectOffset=t.objectOffset||this.objectOffset,this.dirty=!0,\\\"contourWidth\\\"in t&&(this.contourWidth=R(t.contourWidth,Number)),\\\"showContour\\\"in t&&(this.showContour=R(t.showContour,Boolean)),\\\"showSurface\\\"in t&&(this.showSurface=!!t.showSurface),\\\"contourTint\\\"in t&&(this.contourTint=R(t.contourTint,Boolean)),\\\"contourColor\\\"in t&&(this.contourColor=B(t.contourColor)),\\\"contourProject\\\"in t&&(this.contourProject=R(t.contourProject,(function(t){return R(t,Boolean)}))),\\\"surfaceProject\\\"in t&&(this.surfaceProject=t.surfaceProject),\\\"dynamicColor\\\"in t&&(this.dynamicColor=B(t.dynamicColor)),\\\"dynamicTint\\\"in t&&(this.dynamicTint=R(t.dynamicTint,Number)),\\\"dynamicWidth\\\"in t&&(this.dynamicWidth=R(t.dynamicWidth,Number)),\\\"opacity\\\"in t&&(this.opacity=t.opacity),\\\"opacityscale\\\"in t&&(this.opacityscale=t.opacityscale),\\\"colorBounds\\\"in t&&(this.colorBounds=t.colorBounds),\\\"vertexColor\\\"in t&&(this.vertexColor=t.vertexColor?1:0),\\\"colormap\\\"in t&&this._colorMap.setPixels(this.genColormap(t.colormap,this.opacityscale));var e=t.field||t.coords&&t.coords[2]||null,r=!1;if(e||(e=this._field[2].shape[0]||this._field[2].shape[2]?this._field[2].lo(1,1).hi(this._field[2].shape[0]-2,this._field[2].shape[1]-2):this._field[2].hi(0,0)),\\\"field\\\"in t||\\\"coords\\\"in t){var i=(e.shape[0]+2)*(e.shape[1]+2);i>this._field[2].data.length&&(s.freeFloat(this._field[2].data),this._field[2].data=s.mallocFloat(n.nextPow2(i))),this._field[2]=f(this._field[2].data,[e.shape[0]+2,e.shape[1]+2]),this.padField(this._field[2],e),this.shape=e.shape.slice();for(var a=this.shape,o=0;o<2;++o)this._field[2].size>this._field[o].data.length&&(s.freeFloat(this._field[o].data),this._field[o].data=s.mallocFloat(this._field[2].size)),this._field[o]=f(this._field[o].data,[a[0]+2,a[1]+2]);if(t.coords){var l=t.coords;if(!Array.isArray(l)||3!==l.length)throw new Error(\\\"gl-surface: invalid coordinates for x/y\\\");for(o=0;o<2;++o){var c=l[o];for(v=0;v<2;++v)if(c.shape[v]!==a[v])throw new Error(\\\"gl-surface: coords have incorrect shape\\\");this.padField(this._field[o],c)}}else if(t.ticks){var u=t.ticks;if(!Array.isArray(u)||2!==u.length)throw new Error(\\\"gl-surface: invalid ticks\\\");for(o=0;o<2;++o){var p=u[o];if((Array.isArray(p)||p.length)&&(p=f(p)),p.shape[0]!==a[o])throw new Error(\\\"gl-surface: invalid tick length\\\");var d=f(p.data,a);d.stride[o]=p.stride[0],d.stride[1^o]=0,this.padField(this._field[o],d)}}else{for(o=0;o<2;++o){var m=[0,0];m[o]=1,this._field[o]=f(this._field[o].data,[a[0]+2,a[1]+2],m,0)}this._field[0].set(0,0,0);for(var v=0;v<a[0];++v)this._field[0].set(v+1,0,v);for(this._field[0].set(a[0]+1,0,a[0]-1),this._field[1].set(0,0,0),v=0;v<a[1];++v)this._field[1].set(0,v+1,v);this._field[1].set(0,a[1]+1,a[1]-1)}var y=this._field,x=f(s.mallocFloat(3*y[2].size*2),[3,a[0]+2,a[1]+2,2]);for(o=0;o<3;++o)g(x.pick(o),y[o],\\\"mirror\\\");var b=f(s.mallocFloat(3*y[2].size),[a[0]+2,a[1]+2,3]);for(o=0;o<a[0]+2;++o)for(v=0;v<a[1]+2;++v){var _=x.get(0,o,v,0),w=x.get(0,o,v,1),k=x.get(1,o,v,0),M=x.get(1,o,v,1),A=x.get(2,o,v,0),S=x.get(2,o,v,1),E=k*S-M*A,L=A*w-S*_,C=_*M-w*k,P=Math.sqrt(E*E+L*L+C*C);P<1e-8?(P=Math.max(Math.abs(E),Math.abs(L),Math.abs(C)))<1e-8?(C=1,L=E=0,P=1):P=1/P:P=1/Math.sqrt(P),b.set(o,v,0,E*P),b.set(o,v,1,L*P),b.set(o,v,2,C*P)}s.free(x.data);var I=[1/0,1/0,1/0],O=[-1/0,-1/0,-1/0],z=1/0,D=-1/0,F=(a[0]-1)*(a[1]-1)*6,N=s.mallocFloat(n.nextPow2(10*F)),j=0,U=0;for(o=0;o<a[0]-1;++o)t:for(v=0;v<a[1]-1;++v){for(var V=0;V<2;++V)for(var q=0;q<2;++q)for(var H=0;H<3;++H){var G=this._field[H].get(1+o+V,1+v+q);if(isNaN(G)||!isFinite(G))continue t}for(H=0;H<6;++H){var Y=o+T[H][0],W=v+T[H][1],X=this._field[0].get(Y+1,W+1),Z=this._field[1].get(Y+1,W+1);G=this._field[2].get(Y+1,W+1),E=b.get(Y+1,W+1,0),L=b.get(Y+1,W+1,1),C=b.get(Y+1,W+1,2),t.intensity&&(J=t.intensity.get(Y,W));var J=t.intensity?t.intensity.get(Y,W):G+this.objectOffset[2];N[j++]=Y,N[j++]=W,N[j++]=X,N[j++]=Z,N[j++]=G,N[j++]=0,N[j++]=J,N[j++]=E,N[j++]=L,N[j++]=C,I[0]=Math.min(I[0],X+this.objectOffset[0]),I[1]=Math.min(I[1],Z+this.objectOffset[1]),I[2]=Math.min(I[2],G+this.objectOffset[2]),z=Math.min(z,J),O[0]=Math.max(O[0],X+this.objectOffset[0]),O[1]=Math.max(O[1],Z+this.objectOffset[1]),O[2]=Math.max(O[2],G+this.objectOffset[2]),D=Math.max(D,J),U+=1}}for(t.intensityBounds&&(z=+t.intensityBounds[0],D=+t.intensityBounds[1]),o=6;o<j;o+=10)N[o]=(N[o]-z)/(D-z);this._vertexCount=U,this._coordinateBuffer.update(N.subarray(0,j)),s.freeFloat(N),s.free(b.data),this.bounds=[I,O],this.intensity=t.intensity||this._field[2],this.intensityBounds[0]===z&&this.intensityBounds[1]===D||(r=!0),this.intensityBounds=[z,D]}if(\\\"levels\\\"in t){var K=t.levels;for(K=Array.isArray(K[0])?K.slice():[[],[],K],o=0;o<3;++o)K[o]=K[o].slice(),K[o].sort((function(t,e){return t-e}));for(o=0;o<3;++o)for(v=0;v<K[o].length;++v)K[o][v]-=this.objectOffset[o];t:for(o=0;o<3;++o){if(K[o].length!==this.contourLevels[o].length){r=!0;break}for(v=0;v<K[o].length;++v)if(K[o][v]!==this.contourLevels[o][v]){r=!0;break t}}this.contourLevels=K}if(r){y=this._field,a=this.shape;for(var Q=[],$=0;$<3;++$){var tt=this.contourLevels[$],et=[],rt=[],nt=[0,0,0];for(o=0;o<tt.length;++o){var it=h(this._field[$],tt[o]);et.push(Q.length/5|0),U=0;t:for(v=0;v<it.cells.length;++v){var at=it.cells[v];for(H=0;H<2;++H){var ot=it.positions[at[H]],st=ot[0],lt=0|Math.floor(st),ct=st-lt,ut=ot[1],ft=0|Math.floor(ut),ht=ut-ft,pt=!1;e:for(var dt=0;dt<3;++dt){nt[dt]=0;var mt=($+dt+1)%3;for(V=0;V<2;++V){var gt=V?ct:1-ct;for(Y=0|Math.min(Math.max(lt+V,0),a[0]),q=0;q<2;++q){var vt=q?ht:1-ht;if(W=0|Math.min(Math.max(ft+q,0),a[1]),G=dt<2?this._field[mt].get(Y,W):(this.intensity.get(Y,W)-this.intensityBounds[0])/(this.intensityBounds[1]-this.intensityBounds[0]),!isFinite(G)||isNaN(G)){pt=!0;break e}var yt=gt*vt;nt[dt]+=yt*G}}}if(pt){if(H>0){for(var xt=0;xt<5;++xt)Q.pop();U-=1}continue t}Q.push(nt[0],nt[1],ot[0],ot[1],nt[2]),U+=1}}rt.push(U)}this._contourOffsets[$]=et,this._contourCounts[$]=rt}var bt=s.mallocFloat(Q.length);for(o=0;o<Q.length;++o)bt[o]=Q[o];this._contourBuffer.update(bt),s.freeFloat(bt)}},S.dispose=function(){this._shader.dispose(),this._vao.dispose(),this._coordinateBuffer.dispose(),this._colorMap.dispose(),this._contourBuffer.dispose(),this._contourVAO.dispose(),this._contourShader.dispose(),this._contourPickShader.dispose(),this._dynamicBuffer.dispose(),this._dynamicVAO.dispose();for(var t=0;t<3;++t)s.freeFloat(this._field[t].data)},S.highlight=function(t){var e,r;if(!t)return this._dynamicCounts=[0,0,0],this.dyanamicLevel=[NaN,NaN,NaN],void(this.highlightLevel=[-1,-1,-1]);for(e=0;e<3;++e)this.enableHighlight[e]?this.highlightLevel[e]=t.level[e]:this.highlightLevel[e]=-1;for(r=this.snapToData?t.dataCoordinate:t.position,e=0;e<3;++e)r[e]-=this.objectOffset[e];if(this.enableDynamic[0]&&r[0]!==this.dynamicLevel[0]||this.enableDynamic[1]&&r[1]!==this.dynamicLevel[1]||this.enableDynamic[2]&&r[2]!==this.dynamicLevel[2]){for(var n=0,i=this.shape,a=s.mallocFloat(12*i[0]*i[1]),o=0;o<3;++o)if(this.enableDynamic[o]){this.dynamicLevel[o]=r[o];var l=(o+1)%3,c=(o+2)%3,u=this._field[o],f=this._field[l],p=this._field[c],d=h(u,r[o]),m=d.cells,g=d.positions;for(this._dynamicOffsets[o]=n,e=0;e<m.length;++e)for(var v=m[e],y=0;y<2;++y){var x=g[v[y]],b=+x[0],_=0|b,w=0|Math.min(_+1,i[0]),T=b-_,k=1-T,M=+x[1],A=0|M,S=0|Math.min(A+1,i[1]),E=M-A,L=1-E,C=k*L,P=k*E,I=T*L,O=T*E,z=C*f.get(_,A)+P*f.get(_,S)+I*f.get(w,A)+O*f.get(w,S),D=C*p.get(_,A)+P*p.get(_,S)+I*p.get(w,A)+O*p.get(w,S);if(isNaN(z)||isNaN(D)){y&&(n-=1);break}a[2*n+0]=z,a[2*n+1]=D,n+=1}this._dynamicCounts[o]=n-this._dynamicOffsets[o]}else this.dynamicLevel[o]=NaN,this._dynamicCounts[o]=0;this._dynamicBuffer.update(a.subarray(0,2*n)),s.freeFloat(a)}}},{\\\"./lib/shaders\\\":345,\\\"binary-search-bounds\\\":99,\\\"bit-twiddle\\\":100,colormap:133,\\\"gl-buffer\\\":259,\\\"gl-mat4/invert\\\":291,\\\"gl-mat4/multiply\\\":293,\\\"gl-texture2d\\\":348,\\\"gl-vao\\\":353,ndarray:475,\\\"ndarray-gradient\\\":468,\\\"ndarray-ops\\\":470,\\\"ndarray-pack\\\":471,\\\"surface-nets\\\":583,\\\"typedarray-pool\\\":609}],347:[function(t,e,r){\\\"use strict\\\";var n=t(\\\"css-font\\\"),i=t(\\\"pick-by-alias\\\"),a=t(\\\"regl\\\"),o=t(\\\"gl-util/context\\\"),s=t(\\\"es6-weak-map\\\"),l=t(\\\"color-normalize\\\"),c=t(\\\"font-atlas\\\"),u=t(\\\"typedarray-pool\\\"),f=t(\\\"parse-rect\\\"),h=t(\\\"is-plain-obj\\\"),p=t(\\\"parse-unit\\\"),d=t(\\\"to-px\\\"),m=t(\\\"detect-kerning\\\"),g=t(\\\"object-assign\\\"),v=t(\\\"font-measure\\\"),y=t(\\\"flatten-vertex-data\\\"),x=t(\\\"bit-twiddle\\\").nextPow2,b=new s,_=!1;if(document.body){var w=document.body.appendChild(document.createElement(\\\"div\\\"));w.style.font=\\\"italic small-caps bold condensed 16px/2 cursive\\\",getComputedStyle(w).fontStretch&&(_=!0),document.body.removeChild(w)}var T=function(t){!function(t){return\\\"function\\\"==typeof t&&t._gl&&t.prop&&t.texture&&t.buffer}(t)?this.gl=o(t):(t={regl:t},this.gl=t.regl._gl),this.shader=b.get(this.gl),this.shader?this.regl=this.shader.regl:this.regl=t.regl||a({gl:this.gl}),this.charBuffer=this.regl.buffer({type:\\\"uint8\\\",usage:\\\"stream\\\"}),this.sizeBuffer=this.regl.buffer({type:\\\"float\\\",usage:\\\"stream\\\"}),this.shader||(this.shader=this.createShader(),b.set(this.gl,this.shader)),this.batch=[],this.fontSize=[],this.font=[],this.fontAtlas=[],this.draw=this.shader.draw.bind(this),this.render=function(){this.regl._refresh(),this.draw(this.batch)},this.canvas=this.gl.canvas,this.update(h(t)?t:{})};T.prototype.createShader=function(){var t=this.regl,e=t({blend:{enable:!0,color:[0,0,0,1],func:{srcRGB:\\\"src alpha\\\",dstRGB:\\\"one minus src alpha\\\",srcAlpha:\\\"one minus dst alpha\\\",dstAlpha:\\\"one\\\"}},stencil:{enable:!1},depth:{enable:!1},count:t.prop(\\\"count\\\"),offset:t.prop(\\\"offset\\\"),attributes:{charOffset:{offset:4,stride:8,buffer:t.this(\\\"sizeBuffer\\\")},width:{offset:0,stride:8,buffer:t.this(\\\"sizeBuffer\\\")},char:t.this(\\\"charBuffer\\\"),position:t.this(\\\"position\\\")},uniforms:{atlasSize:function(t,e){return[e.atlas.width,e.atlas.height]},atlasDim:function(t,e){return[e.atlas.cols,e.atlas.rows]},atlas:function(t,e){return e.atlas.texture},charStep:function(t,e){return e.atlas.step},em:function(t,e){return e.atlas.em},color:t.prop(\\\"color\\\"),opacity:t.prop(\\\"opacity\\\"),viewport:t.this(\\\"viewportArray\\\"),scale:t.this(\\\"scale\\\"),align:t.prop(\\\"align\\\"),baseline:t.prop(\\\"baseline\\\"),translate:t.this(\\\"translate\\\"),positionOffset:t.prop(\\\"positionOffset\\\")},primitive:\\\"points\\\",viewport:t.this(\\\"viewport\\\"),vert:\\\"\\\\n\\\\t\\\\t\\\\tprecision highp float;\\\\n\\\\t\\\\t\\\\tattribute float width, charOffset, char;\\\\n\\\\t\\\\t\\\\tattribute vec2 position;\\\\n\\\\t\\\\t\\\\tuniform float fontSize, charStep, em, align, baseline;\\\\n\\\\t\\\\t\\\\tuniform vec4 viewport;\\\\n\\\\t\\\\t\\\\tuniform vec4 color;\\\\n\\\\t\\\\t\\\\tuniform vec2 atlasSize, atlasDim, scale, translate, positionOffset;\\\\n\\\\t\\\\t\\\\tvarying vec2 charCoord, charId;\\\\n\\\\t\\\\t\\\\tvarying float charWidth;\\\\n\\\\t\\\\t\\\\tvarying vec4 fontColor;\\\\n\\\\t\\\\t\\\\tvoid main () {\\\\n\\\\t\\\\t\\\\t\\\\t\\\"+(T.normalViewport?\\\"\\\":\\\"vec2 positionOffset = vec2(positionOffset.x,- positionOffset.y);\\\")+\\\"\\\\n\\\\n\\\\t\\\\t\\\\t\\\\tvec2 offset = floor(em * (vec2(align + charOffset, baseline)\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t+ positionOffset))\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t/ (viewport.zw * scale.xy);\\\\n\\\\n\\\\t\\\\t\\\\t\\\\tvec2 position = (position + translate) * scale;\\\\n\\\\t\\\\t\\\\t\\\\tposition += offset * scale;\\\\n\\\\n\\\\t\\\\t\\\\t\\\\t\\\"+(T.normalViewport?\\\"position.y = 1. - position.y;\\\":\\\"\\\")+\\\"\\\\n\\\\n\\\\t\\\\t\\\\t\\\\tcharCoord = position * viewport.zw + viewport.xy;\\\\n\\\\n\\\\t\\\\t\\\\t\\\\tgl_Position = vec4(position * 2. - 1., 0, 1);\\\\n\\\\n\\\\t\\\\t\\\\t\\\\tgl_PointSize = charStep;\\\\n\\\\n\\\\t\\\\t\\\\t\\\\tcharId.x = mod(char, atlasDim.x);\\\\n\\\\t\\\\t\\\\t\\\\tcharId.y = floor(char / atlasDim.x);\\\\n\\\\n\\\\t\\\\t\\\\t\\\\tcharWidth = width * em;\\\\n\\\\n\\\\t\\\\t\\\\t\\\\tfontColor = color / 255.;\\\\n\\\\t\\\\t\\\\t}\\\",frag:\\\"\\\\n\\\\t\\\\t\\\\tprecision highp float;\\\\n\\\\t\\\\t\\\\tuniform sampler2D atlas;\\\\n\\\\t\\\\t\\\\tuniform float fontSize, charStep, opacity;\\\\n\\\\t\\\\t\\\\tuniform vec2 atlasSize;\\\\n\\\\t\\\\t\\\\tuniform vec4 viewport;\\\\n\\\\t\\\\t\\\\tvarying vec4 fontColor;\\\\n\\\\t\\\\t\\\\tvarying vec2 charCoord, charId;\\\\n\\\\t\\\\t\\\\tvarying float charWidth;\\\\n\\\\n\\\\t\\\\t\\\\tfloat lightness(vec4 color) {\\\\n\\\\t\\\\t\\\\t\\\\treturn color.r * 0.299 + color.g * 0.587 + color.b * 0.114;\\\\n\\\\t\\\\t\\\\t}\\\\n\\\\n\\\\t\\\\t\\\\tvoid main () {\\\\n\\\\t\\\\t\\\\t\\\\tvec2 uv = gl_FragCoord.xy - charCoord + charStep * .5;\\\\n\\\\t\\\\t\\\\t\\\\tfloat halfCharStep = floor(charStep * .5 + .5);\\\\n\\\\n\\\\t\\\\t\\\\t\\\\t// invert y and shift by 1px (FF expecially needs that)\\\\n\\\\t\\\\t\\\\t\\\\tuv.y = charStep - uv.y;\\\\n\\\\n\\\\t\\\\t\\\\t\\\\t// ignore points outside of character bounding box\\\\n\\\\t\\\\t\\\\t\\\\tfloat halfCharWidth = ceil(charWidth * .5);\\\\n\\\\t\\\\t\\\\t\\\\tif (floor(uv.x) > halfCharStep + halfCharWidth ||\\\\n\\\\t\\\\t\\\\t\\\\t\\\\tfloor(uv.x) < halfCharStep - halfCharWidth) return;\\\\n\\\\n\\\\t\\\\t\\\\t\\\\tuv += charId * charStep;\\\\n\\\\t\\\\t\\\\t\\\\tuv = uv / atlasSize;\\\\n\\\\n\\\\t\\\\t\\\\t\\\\tvec4 color = fontColor;\\\\n\\\\t\\\\t\\\\t\\\\tvec4 mask = texture2D(atlas, uv);\\\\n\\\\n\\\\t\\\\t\\\\t\\\\tfloat maskY = lightness(mask);\\\\n\\\\t\\\\t\\\\t\\\\t// float colorY = lightness(color);\\\\n\\\\t\\\\t\\\\t\\\\tcolor.a *= maskY;\\\\n\\\\t\\\\t\\\\t\\\\tcolor.a *= opacity;\\\\n\\\\n\\\\t\\\\t\\\\t\\\\t// color.a += .1;\\\\n\\\\n\\\\t\\\\t\\\\t\\\\t// antialiasing, see yiq color space y-channel formula\\\\n\\\\t\\\\t\\\\t\\\\t// color.rgb += (1. - color.rgb) * (1. - mask.rgb);\\\\n\\\\n\\\\t\\\\t\\\\t\\\\tgl_FragColor = color;\\\\n\\\\t\\\\t\\\\t}\\\"});return{regl:t,draw:e,atlas:{}}},T.prototype.update=function(t){var e=this;if(\\\"string\\\"==typeof t)t={text:t};else if(!t)return;null!=(t=i(t,{position:\\\"position positions coord coords coordinates\\\",font:\\\"font fontFace fontface typeface cssFont css-font family fontFamily\\\",fontSize:\\\"fontSize fontsize size font-size\\\",text:\\\"text texts chars characters value values symbols\\\",align:\\\"align alignment textAlign textbaseline\\\",baseline:\\\"baseline textBaseline textbaseline\\\",direction:\\\"dir direction textDirection\\\",color:\\\"color colour fill fill-color fillColor textColor textcolor\\\",kerning:\\\"kerning kern\\\",range:\\\"range dataBox\\\",viewport:\\\"vp viewport viewBox viewbox viewPort\\\",opacity:\\\"opacity alpha transparency visible visibility opaque\\\",offset:\\\"offset positionOffset padding shift indent indentation\\\"},!0)).opacity&&(Array.isArray(t.opacity)?this.opacity=t.opacity.map((function(t){return parseFloat(t)})):this.opacity=parseFloat(t.opacity)),null!=t.viewport&&(this.viewport=f(t.viewport),T.normalViewport&&(this.viewport.y=this.canvas.height-this.viewport.y-this.viewport.height),this.viewportArray=[this.viewport.x,this.viewport.y,this.viewport.width,this.viewport.height]),null==this.viewport&&(this.viewport={x:0,y:0,width:this.gl.drawingBufferWidth,height:this.gl.drawingBufferHeight},this.viewportArray=[this.viewport.x,this.viewport.y,this.viewport.width,this.viewport.height]),null!=t.kerning&&(this.kerning=t.kerning),null!=t.offset&&(\\\"number\\\"==typeof t.offset&&(t.offset=[t.offset,0]),this.positionOffset=y(t.offset)),t.direction&&(this.direction=t.direction),t.range&&(this.range=t.range,this.scale=[1/(t.range[2]-t.range[0]),1/(t.range[3]-t.range[1])],this.translate=[-t.range[0],-t.range[1]]),t.scale&&(this.scale=t.scale),t.translate&&(this.translate=t.translate),this.scale||(this.scale=[1/this.viewport.width,1/this.viewport.height]),this.translate||(this.translate=[0,0]),this.font.length||t.font||(t.font=T.baseFontSize+\\\"px sans-serif\\\");var r,a=!1,o=!1;if(t.font&&(Array.isArray(t.font)?t.font:[t.font]).forEach((function(t,r){if(\\\"string\\\"==typeof t)try{t=n.parse(t)}catch(e){t=n.parse(T.baseFontSize+\\\"px \\\"+t)}else t=n.parse(n.stringify(t));var i=n.stringify({size:T.baseFontSize,family:t.family,stretch:_?t.stretch:void 0,variant:t.variant,weight:t.weight,style:t.style}),s=p(t.size),l=Math.round(s[0]*d(s[1]));if(l!==e.fontSize[r]&&(o=!0,e.fontSize[r]=l),!(e.font[r]&&i==e.font[r].baseString||(a=!0,e.font[r]=T.fonts[i],e.font[r]))){var c=t.family.join(\\\", \\\"),u=[t.style];t.style!=t.variant&&u.push(t.variant),t.variant!=t.weight&&u.push(t.weight),_&&t.weight!=t.stretch&&u.push(t.stretch),e.font[r]={baseString:i,family:c,weight:t.weight,stretch:t.stretch,style:t.style,variant:t.variant,width:{},kerning:{},metrics:v(c,{origin:\\\"top\\\",fontSize:T.baseFontSize,fontStyle:u.join(\\\" \\\")})},T.fonts[i]=e.font[r]}})),(a||o)&&this.font.forEach((function(r,i){var a=n.stringify({size:e.fontSize[i],family:r.family,stretch:_?r.stretch:void 0,variant:r.variant,weight:r.weight,style:r.style});if(e.fontAtlas[i]=e.shader.atlas[a],!e.fontAtlas[i]){var o=r.metrics;e.shader.atlas[a]=e.fontAtlas[i]={fontString:a,step:2*Math.ceil(e.fontSize[i]*o.bottom*.5),em:e.fontSize[i],cols:0,rows:0,height:0,width:0,chars:[],ids:{},texture:e.regl.texture()}}null==t.text&&(t.text=e.text)})),\\\"string\\\"==typeof t.text&&t.position&&t.position.length>2){for(var s=Array(.5*t.position.length),h=0;h<s.length;h++)s[h]=t.text;t.text=s}if(null!=t.text||a){if(this.textOffsets=[0],Array.isArray(t.text)){this.count=t.text[0].length,this.counts=[this.count];for(var b=1;b<t.text.length;b++)this.textOffsets[b]=this.textOffsets[b-1]+t.text[b-1].length,this.count+=t.text[b].length,this.counts.push(t.text[b].length);this.text=t.text.join(\\\"\\\")}else this.text=t.text,this.count=this.text.length,this.counts=[this.count];r=[],this.font.forEach((function(t,n){T.atlasContext.font=t.baseString;for(var i=e.fontAtlas[n],a=0;a<e.text.length;a++){var o=e.text.charAt(a);if(null==i.ids[o]&&(i.ids[o]=i.chars.length,i.chars.push(o),r.push(o)),null==t.width[o]&&(t.width[o]=T.atlasContext.measureText(o).width/T.baseFontSize,e.kerning)){var s=[];for(var l in t.width)s.push(l+o,o+l);g(t.kerning,m(t.family,{pairs:s}))}}}))}if(t.position)if(t.position.length>2){for(var w=!t.position[0].length,k=u.mallocFloat(2*this.count),M=0,A=0;M<this.counts.length;M++){var S=this.counts[M];if(w)for(var E=0;E<S;E++)k[A++]=t.position[2*M],k[A++]=t.position[2*M+1];else for(var L=0;L<S;L++)k[A++]=t.position[M][0],k[A++]=t.position[M][1]}this.position.call?this.position({type:\\\"float\\\",data:k}):this.position=this.regl.buffer({type:\\\"float\\\",data:k}),u.freeFloat(k)}else this.position.destroy&&this.position.destroy(),this.position={constant:t.position};if(t.text||a){var C=u.mallocUint8(this.count),P=u.mallocFloat(2*this.count);this.textWidth=[];for(var I=0,O=0;I<this.counts.length;I++){for(var z=this.counts[I],D=this.font[I]||this.font[0],R=this.fontAtlas[I]||this.fontAtlas[0],F=0;F<z;F++){var B=this.text.charAt(O),N=this.text.charAt(O-1);if(C[O]=R.ids[B],P[2*O]=D.width[B],F){var j=P[2*O-2],U=P[2*O],V=P[2*O-1]+.5*j+.5*U;if(this.kerning){var q=D.kerning[N+B];q&&(V+=.001*q)}P[2*O+1]=V}else P[2*O+1]=.5*P[2*O];O++}this.textWidth.push(P.length?.5*P[2*O-2]+P[2*O-1]:0)}t.align||(t.align=this.align),this.charBuffer({data:C,type:\\\"uint8\\\",usage:\\\"stream\\\"}),this.sizeBuffer({data:P,type:\\\"float\\\",usage:\\\"stream\\\"}),u.freeUint8(C),u.freeFloat(P),r.length&&this.font.forEach((function(t,r){var n=e.fontAtlas[r],i=n.step,a=Math.floor(T.maxAtlasSize/i),o=Math.min(a,n.chars.length),s=Math.ceil(n.chars.length/o),l=x(o*i),u=x(s*i);n.width=l,n.height=u,n.rows=s,n.cols=o,n.em&&n.texture({data:c({canvas:T.atlasCanvas,font:n.fontString,chars:n.chars,shape:[l,u],step:[i,i]})})}))}if(t.align&&(this.align=t.align,this.alignOffset=this.textWidth.map((function(t,r){var n=Array.isArray(e.align)?e.align.length>1?e.align[r]:e.align[0]:e.align;if(\\\"number\\\"==typeof n)return n;switch(n){case\\\"right\\\":case\\\"end\\\":return-t;case\\\"center\\\":case\\\"centre\\\":case\\\"middle\\\":return.5*-t}return 0}))),null==this.baseline&&null==t.baseline&&(t.baseline=0),null!=t.baseline&&(this.baseline=t.baseline,Array.isArray(this.baseline)||(this.baseline=[this.baseline]),this.baselineOffset=this.baseline.map((function(t,r){var n=(e.font[r]||e.font[0]).metrics,i=0;return i+=.5*n.bottom,i+=\\\"number\\\"==typeof t?t-n.baseline:-n[t],T.normalViewport||(i*=-1),i}))),null!=t.color)if(t.color||(t.color=\\\"transparent\\\"),\\\"string\\\"!=typeof t.color&&isNaN(t.color)){var H;if(\\\"number\\\"==typeof t.color[0]&&t.color.length>this.counts.length){var G=t.color.length;H=u.mallocUint8(G);for(var Y=(t.color.subarray||t.color.slice).bind(t.color),W=0;W<G;W+=4)H.set(l(Y(W,W+4),\\\"uint8\\\"),W)}else{var X=t.color.length;H=u.mallocUint8(4*X);for(var Z=0;Z<X;Z++)H.set(l(t.color[Z]||0,\\\"uint8\\\"),4*Z)}this.color=H}else this.color=l(t.color,\\\"uint8\\\");if(t.position||t.text||t.color||t.baseline||t.align||t.font||t.offset||t.opacity)if(this.color.length>4||this.baselineOffset.length>1||this.align&&this.align.length>1||this.fontAtlas.length>1||this.positionOffset.length>2){var J=Math.max(.5*this.position.length||0,.25*this.color.length||0,this.baselineOffset.length||0,this.alignOffset.length||0,this.font.length||0,this.opacity.length||0,.5*this.positionOffset.length||0);this.batch=Array(J);for(var K=0;K<this.batch.length;K++)this.batch[K]={count:this.counts.length>1?this.counts[K]:this.counts[0],offset:this.textOffsets.length>1?this.textOffsets[K]:this.textOffsets[0],color:this.color?this.color.length<=4?this.color:this.color.subarray(4*K,4*K+4):[0,0,0,255],opacity:Array.isArray(this.opacity)?this.opacity[K]:this.opacity,baseline:null!=this.baselineOffset[K]?this.baselineOffset[K]:this.baselineOffset[0],align:this.align?null!=this.alignOffset[K]?this.alignOffset[K]:this.alignOffset[0]:0,atlas:this.fontAtlas[K]||this.fontAtlas[0],positionOffset:this.positionOffset.length>2?this.positionOffset.subarray(2*K,2*K+2):this.positionOffset}}else this.count?this.batch=[{count:this.count,offset:0,color:this.color||[0,0,0,255],opacity:Array.isArray(this.opacity)?this.opacity[0]:this.opacity,baseline:this.baselineOffset[0],align:this.alignOffset?this.alignOffset[0]:0,atlas:this.fontAtlas[0],positionOffset:this.positionOffset}]:this.batch=[]},T.prototype.destroy=function(){},T.prototype.kerning=!0,T.prototype.position={constant:new Float32Array(2)},T.prototype.translate=null,T.prototype.scale=null,T.prototype.font=null,T.prototype.text=\\\"\\\",T.prototype.positionOffset=[0,0],T.prototype.opacity=1,T.prototype.color=new Uint8Array([0,0,0,255]),T.prototype.alignOffset=[0,0],T.normalViewport=!1,T.maxAtlasSize=1024,T.atlasCanvas=document.createElement(\\\"canvas\\\"),T.atlasContext=T.atlasCanvas.getContext(\\\"2d\\\",{alpha:!1}),T.baseFontSize=64,T.fonts={},e.exports=T},{\\\"bit-twiddle\\\":100,\\\"color-normalize\\\":127,\\\"css-font\\\":146,\\\"detect-kerning\\\":173,\\\"es6-weak-map\\\":233,\\\"flatten-vertex-data\\\":244,\\\"font-atlas\\\":245,\\\"font-measure\\\":246,\\\"gl-util/context\\\":349,\\\"is-plain-obj\\\":449,\\\"object-assign\\\":479,\\\"parse-rect\\\":484,\\\"parse-unit\\\":486,\\\"pick-by-alias\\\":490,regl:532,\\\"to-px\\\":592,\\\"typedarray-pool\\\":609}],348:[function(t,e,r){\\\"use strict\\\";var n=t(\\\"ndarray\\\"),i=t(\\\"ndarray-ops\\\"),a=t(\\\"typedarray-pool\\\");e.exports=function(t){if(arguments.length<=1)throw new Error(\\\"gl-texture2d: Missing arguments for texture2d constructor\\\");o||c(t);if(\\\"number\\\"==typeof arguments[1])return v(t,arguments[1],arguments[2],arguments[3]||t.RGBA,arguments[4]||t.UNSIGNED_BYTE);if(Array.isArray(arguments[1]))return v(t,0|arguments[1][0],0|arguments[1][1],arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if(\\\"object\\\"==typeof arguments[1]){var e=arguments[1],r=u(e)?e:e.raw;if(r)return y(t,r,0|e.width,0|e.height,arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if(e.shape&&e.data&&e.stride)return x(t,e)}throw new Error(\\\"gl-texture2d: Invalid arguments for texture2d constructor\\\")};var o=null,s=null,l=null;function c(t){o=[t.LINEAR,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_NEAREST],s=[t.NEAREST,t.LINEAR,t.NEAREST_MIPMAP_NEAREST,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_LINEAR],l=[t.REPEAT,t.CLAMP_TO_EDGE,t.MIRRORED_REPEAT]}function u(t){return\\\"undefined\\\"!=typeof HTMLCanvasElement&&t instanceof HTMLCanvasElement||\\\"undefined\\\"!=typeof HTMLImageElement&&t instanceof HTMLImageElement||\\\"undefined\\\"!=typeof HTMLVideoElement&&t instanceof HTMLVideoElement||\\\"undefined\\\"!=typeof ImageData&&t instanceof ImageData}var f=function(t,e){i.muls(t,e,255)};function h(t,e,r){var n=t.gl,i=n.getParameter(n.MAX_TEXTURE_SIZE);if(e<0||e>i||r<0||r>i)throw new Error(\\\"gl-texture2d: Invalid texture size\\\");return t._shape=[e,r],t.bind(),n.texImage2D(n.TEXTURE_2D,0,t.format,e,r,0,t.format,t.type,null),t._mipLevels=[0],t}function p(t,e,r,n,i,a){this.gl=t,this.handle=e,this.format=i,this.type=a,this._shape=[r,n],this._mipLevels=[0],this._magFilter=t.NEAREST,this._minFilter=t.NEAREST,this._wrapS=t.CLAMP_TO_EDGE,this._wrapT=t.CLAMP_TO_EDGE,this._anisoSamples=1;var o=this,s=[this._wrapS,this._wrapT];Object.defineProperties(s,[{get:function(){return o._wrapS},set:function(t){return o.wrapS=t}},{get:function(){return o._wrapT},set:function(t){return o.wrapT=t}}]),this._wrapVector=s;var l=[this._shape[0],this._shape[1]];Object.defineProperties(l,[{get:function(){return o._shape[0]},set:function(t){return o.width=t}},{get:function(){return o._shape[1]},set:function(t){return o.height=t}}]),this._shapeVector=l}var d=p.prototype;function m(t,e){return 3===t.length?1===e[2]&&e[1]===t[0]*t[2]&&e[0]===t[2]:1===e[0]&&e[1]===t[0]}function g(t){var e=t.createTexture();return t.bindTexture(t.TEXTURE_2D,e),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MIN_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MAG_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_S,t.CLAMP_TO_EDGE),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_T,t.CLAMP_TO_EDGE),e}function v(t,e,r,n,i){var a=t.getParameter(t.MAX_TEXTURE_SIZE);if(e<0||e>a||r<0||r>a)throw new Error(\\\"gl-texture2d: Invalid texture shape\\\");if(i===t.FLOAT&&!t.getExtension(\\\"OES_texture_float\\\"))throw new Error(\\\"gl-texture2d: Floating point textures not supported on this platform\\\");var o=g(t);return t.texImage2D(t.TEXTURE_2D,0,n,e,r,0,n,i,null),new p(t,o,e,r,n,i)}function y(t,e,r,n,i,a){var o=g(t);return t.texImage2D(t.TEXTURE_2D,0,i,i,a,e),new p(t,o,r,n,i,a)}function x(t,e){var r=e.dtype,o=e.shape.slice(),s=t.getParameter(t.MAX_TEXTURE_SIZE);if(o[0]<0||o[0]>s||o[1]<0||o[1]>s)throw new Error(\\\"gl-texture2d: Invalid texture size\\\");var l=m(o,e.stride.slice()),c=0;\\\"float32\\\"===r?c=t.FLOAT:\\\"float64\\\"===r?(c=t.FLOAT,l=!1,r=\\\"float32\\\"):\\\"uint8\\\"===r?c=t.UNSIGNED_BYTE:(c=t.UNSIGNED_BYTE,l=!1,r=\\\"uint8\\\");var u,h,d=0;if(2===o.length)d=t.LUMINANCE,o=[o[0],o[1],1],e=n(e.data,o,[e.stride[0],e.stride[1],1],e.offset);else{if(3!==o.length)throw new Error(\\\"gl-texture2d: Invalid shape for texture\\\");if(1===o[2])d=t.ALPHA;else if(2===o[2])d=t.LUMINANCE_ALPHA;else if(3===o[2])d=t.RGB;else{if(4!==o[2])throw new Error(\\\"gl-texture2d: Invalid shape for pixel coords\\\");d=t.RGBA}}c!==t.FLOAT||t.getExtension(\\\"OES_texture_float\\\")||(c=t.UNSIGNED_BYTE,l=!1);var v=e.size;if(l)u=0===e.offset&&e.data.length===v?e.data:e.data.subarray(e.offset,e.offset+v);else{var y=[o[2],o[2]*o[0],1];h=a.malloc(v,r);var x=n(h,o,y,0);\\\"float32\\\"!==r&&\\\"float64\\\"!==r||c!==t.UNSIGNED_BYTE?i.assign(x,e):f(x,e),u=h.subarray(0,v)}var b=g(t);return t.texImage2D(t.TEXTURE_2D,0,d,o[0],o[1],0,d,c,u),l||a.free(h),new p(t,b,o[0],o[1],d,c)}Object.defineProperties(d,{minFilter:{get:function(){return this._minFilter},set:function(t){this.bind();var e=this.gl;if(this.type===e.FLOAT&&o.indexOf(t)>=0&&(e.getExtension(\\\"OES_texture_float_linear\\\")||(t=e.NEAREST)),s.indexOf(t)<0)throw new Error(\\\"gl-texture2d: Unknown filter mode \\\"+t);return e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,t),this._minFilter=t}},magFilter:{get:function(){return this._magFilter},set:function(t){this.bind();var e=this.gl;if(this.type===e.FLOAT&&o.indexOf(t)>=0&&(e.getExtension(\\\"OES_texture_float_linear\\\")||(t=e.NEAREST)),s.indexOf(t)<0)throw new Error(\\\"gl-texture2d: Unknown filter mode \\\"+t);return e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,t),this._magFilter=t}},mipSamples:{get:function(){return this._anisoSamples},set:function(t){var e=this._anisoSamples;if(this._anisoSamples=0|Math.max(t,1),e!==this._anisoSamples){var r=this.gl.getExtension(\\\"EXT_texture_filter_anisotropic\\\");r&&this.gl.texParameterf(this.gl.TEXTURE_2D,r.TEXTURE_MAX_ANISOTROPY_EXT,this._anisoSamples)}return this._anisoSamples}},wrapS:{get:function(){return this._wrapS},set:function(t){if(this.bind(),l.indexOf(t)<0)throw new Error(\\\"gl-texture2d: Unknown wrap mode \\\"+t);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_S,t),this._wrapS=t}},wrapT:{get:function(){return this._wrapT},set:function(t){if(this.bind(),l.indexOf(t)<0)throw new Error(\\\"gl-texture2d: Unknown wrap mode \\\"+t);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_T,t),this._wrapT=t}},wrap:{get:function(){return this._wrapVector},set:function(t){if(Array.isArray(t)||(t=[t,t]),2!==t.length)throw new Error(\\\"gl-texture2d: Must specify wrap mode for rows and columns\\\");for(var e=0;e<2;++e)if(l.indexOf(t[e])<0)throw new Error(\\\"gl-texture2d: Unknown wrap mode \\\"+t);this._wrapS=t[0],this._wrapT=t[1];var r=this.gl;return this.bind(),r.texParameteri(r.TEXTURE_2D,r.TEXTURE_WRAP_S,this._wrapS),r.texParameteri(r.TEXTURE_2D,r.TEXTURE_WRAP_T,this._wrapT),t}},shape:{get:function(){return this._shapeVector},set:function(t){if(Array.isArray(t)){if(2!==t.length)throw new Error(\\\"gl-texture2d: Invalid texture shape\\\")}else t=[0|t,0|t];return h(this,0|t[0],0|t[1]),[0|t[0],0|t[1]]}},width:{get:function(){return this._shape[0]},set:function(t){return h(this,t|=0,this._shape[1]),t}},height:{get:function(){return this._shape[1]},set:function(t){return t|=0,h(this,this._shape[0],t),t}}}),d.bind=function(t){var e=this.gl;return void 0!==t&&e.activeTexture(e.TEXTURE0+(0|t)),e.bindTexture(e.TEXTURE_2D,this.handle),void 0!==t?0|t:e.getParameter(e.ACTIVE_TEXTURE)-e.TEXTURE0},d.dispose=function(){this.gl.deleteTexture(this.handle)},d.generateMipmap=function(){this.bind(),this.gl.generateMipmap(this.gl.TEXTURE_2D);for(var t=Math.min(this._shape[0],this._shape[1]),e=0;t>0;++e,t>>>=1)this._mipLevels.indexOf(e)<0&&this._mipLevels.push(e)},d.setPixels=function(t,e,r,o){var s=this.gl;this.bind(),Array.isArray(e)?(o=r,r=0|e[1],e=0|e[0]):(e=e||0,r=r||0),o=o||0;var l=u(t)?t:t.raw;if(l){this._mipLevels.indexOf(o)<0?(s.texImage2D(s.TEXTURE_2D,0,this.format,this.format,this.type,l),this._mipLevels.push(o)):s.texSubImage2D(s.TEXTURE_2D,o,e,r,this.format,this.type,l)}else{if(!(t.shape&&t.stride&&t.data))throw new Error(\\\"gl-texture2d: Unsupported data type\\\");if(t.shape.length<2||e+t.shape[1]>this._shape[1]>>>o||r+t.shape[0]>this._shape[0]>>>o||e<0||r<0)throw new Error(\\\"gl-texture2d: Texture dimensions are out of bounds\\\");!function(t,e,r,o,s,l,c,u){var h=u.dtype,p=u.shape.slice();if(p.length<2||p.length>3)throw new Error(\\\"gl-texture2d: Invalid ndarray, must be 2d or 3d\\\");var d=0,g=0,v=m(p,u.stride.slice());\\\"float32\\\"===h?d=t.FLOAT:\\\"float64\\\"===h?(d=t.FLOAT,v=!1,h=\\\"float32\\\"):\\\"uint8\\\"===h?d=t.UNSIGNED_BYTE:(d=t.UNSIGNED_BYTE,v=!1,h=\\\"uint8\\\");if(2===p.length)g=t.LUMINANCE,p=[p[0],p[1],1],u=n(u.data,p,[u.stride[0],u.stride[1],1],u.offset);else{if(3!==p.length)throw new Error(\\\"gl-texture2d: Invalid shape for texture\\\");if(1===p[2])g=t.ALPHA;else if(2===p[2])g=t.LUMINANCE_ALPHA;else if(3===p[2])g=t.RGB;else{if(4!==p[2])throw new Error(\\\"gl-texture2d: Invalid shape for pixel coords\\\");g=t.RGBA}p[2]}g!==t.LUMINANCE&&g!==t.ALPHA||s!==t.LUMINANCE&&s!==t.ALPHA||(g=s);if(g!==s)throw new Error(\\\"gl-texture2d: Incompatible texture format for setPixels\\\");var y=u.size,x=c.indexOf(o)<0;x&&c.push(o);if(d===l&&v)0===u.offset&&u.data.length===y?x?t.texImage2D(t.TEXTURE_2D,o,s,p[0],p[1],0,s,l,u.data):t.texSubImage2D(t.TEXTURE_2D,o,e,r,p[0],p[1],s,l,u.data):x?t.texImage2D(t.TEXTURE_2D,o,s,p[0],p[1],0,s,l,u.data.subarray(u.offset,u.offset+y)):t.texSubImage2D(t.TEXTURE_2D,o,e,r,p[0],p[1],s,l,u.data.subarray(u.offset,u.offset+y));else{var b;b=l===t.FLOAT?a.mallocFloat32(y):a.mallocUint8(y);var _=n(b,p,[p[2],p[2]*p[0],1]);d===t.FLOAT&&l===t.UNSIGNED_BYTE?f(_,u):i.assign(_,u),x?t.texImage2D(t.TEXTURE_2D,o,s,p[0],p[1],0,s,l,b.subarray(0,y)):t.texSubImage2D(t.TEXTURE_2D,o,e,r,p[0],p[1],s,l,b.subarray(0,y)),l===t.FLOAT?a.freeFloat32(b):a.freeUint8(b)}}(s,e,r,o,this.format,this.type,this._mipLevels,t)}}},{ndarray:475,\\\"ndarray-ops\\\":470,\\\"typedarray-pool\\\":609}],349:[function(t,e,r){(function(r){(function(){\\\"use strict\\\";var n=t(\\\"pick-by-alias\\\");function i(t){if(t.container)if(t.container==document.body)document.body.style.width||(t.canvas.width=t.width||t.pixelRatio*r.innerWidth),document.body.style.height||(t.canvas.height=t.height||t.pixelRatio*r.innerHeight);else{var e=t.container.getBoundingClientRect();t.canvas.width=t.width||e.right-e.left,t.canvas.height=t.height||e.bottom-e.top}}function a(t){return\\\"function\\\"==typeof t.getContext&&\\\"width\\\"in t&&\\\"height\\\"in t}function o(){var t=document.createElement(\\\"canvas\\\");return t.style.position=\\\"absolute\\\",t.style.top=0,t.style.left=0,t}e.exports=function(t){var e;if(t?\\\"string\\\"==typeof t&&(t={container:t}):t={},a(t)?t={container:t}:t=\\\"string\\\"==typeof(e=t).nodeName&&\\\"function\\\"==typeof e.appendChild&&\\\"function\\\"==typeof e.getBoundingClientRect?{container:t}:function(t){return\\\"function\\\"==typeof t.drawArrays||\\\"function\\\"==typeof t.drawElements}(t)?{gl:t}:n(t,{container:\\\"container target element el canvas holder parent parentNode 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e=this.needle.evaluate(t),r=this.haystack.evaluate(t);if(!Qt(e,[\\\"boolean\\\",\\\"string\\\",\\\"number\\\",\\\"null\\\"]))throw new ue(\\\"Expected first argument to be of type boolean, string, number or null, but found \\\"+Xt(se(e))+\\\" instead.\\\");if(!Qt(r,[\\\"string\\\",\\\"array\\\"]))throw new ue(\\\"Expected second argument to be of type array or string, but found \\\"+Xt(se(r))+\\\" instead.\\\");if(this.fromIndex){var n=this.fromIndex.evaluate(t);return r.indexOf(e,n)}return r.indexOf(e)},hr.prototype.eachChild=function(t){t(this.needle),t(this.haystack),this.fromIndex&&t(this.fromIndex)},hr.prototype.outputDefined=function(){return!1},hr.prototype.serialize=function(){if(null!=this.fromIndex&&void 0!==this.fromIndex){var t=this.fromIndex.serialize();return[\\\"index-of\\\",this.needle.serialize(),this.haystack.serialize(),t]}return[\\\"index-of\\\",this.needle.serialize(),this.haystack.serialize()]};var 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r=e.value.expression||e.value._styleExpression.expression;if(\\\"property\\\"===t.expressionContext&&\\\"text-font\\\"===t.propertyKey&&!r.outputDefined())return[new Ct(t.key,t.value,'Invalid data expression for \\\"'+t.propertyKey+'\\\". 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Ct(e,r,\\\"expected one of [\\\"+n.values.join(\\\", \\\")+\\\"], \\\"+JSON.stringify(r)+\\\" found\\\")):-1===Object.keys(n.values).indexOf(Ot(r))&&i.push(new Ct(e,r,\\\"expected one of [\\\"+Object.keys(n.values).join(\\\", \\\")+\\\"], \\\"+JSON.stringify(r)+\\\" found\\\")),i}function an(t){if(!0===t||!1===t)return!0;if(!Array.isArray(t)||0===t.length)return!1;switch(t[0]){case\\\"has\\\":return t.length>=2&&\\\"$id\\\"!==t[1]&&\\\"$type\\\"!==t[1];case\\\"in\\\":return t.length>=3&&(\\\"string\\\"!=typeof t[1]||Array.isArray(t[2]));case\\\"!in\\\":case\\\"!has\\\":case\\\"none\\\":return!1;case\\\"==\\\":case\\\"!=\\\":case\\\">\\\":case\\\">=\\\":case\\\"<\\\":case\\\"<=\\\":return 3!==t.length||Array.isArray(t[1])||Array.isArray(t[2]);case\\\"any\\\":case\\\"all\\\":for(var e=0,r=t.slice(1);e<r.length;e+=1){var n=r[e];if(!an(n)&&\\\"boolean\\\"!=typeof n)return!1}return!0;default:return!0}}Kr.deserialize=function(t){return new Kr(t._parameters,t._specification)},Kr.serialize=function(t){return{_parameters:t._parameters,_specification:t._specification}};var on={type:\\\"boolean\\\",default:!1,transition:!1,\\\"property-type\\\":\\\"data-driven\\\",expression:{interpolated:!1,parameters:[\\\"zoom\\\",\\\"feature\\\"]}};function sn(t){if(null==t)return{filter:function(){return!0},needGeometry:!1};an(t)||(t=cn(t));var e=Wr(t,on);if(\\\"error\\\"===e.result)throw new Error(e.value.map((function(t){return t.key+\\\": \\\"+t.message})).join(\\\", \\\"));return{filter:function(t,r,n){return e.value.evaluate(t,r,{},n)},needGeometry:function t(e){if(!Array.isArray(e))return!1;if(\\\"within\\\"===e[0])return!0;for(var r=1;r<e.length;r++)if(t(e[r]))return!0;return!1}(t)}}function ln(t,e){return t<e?-1:t>e?1:0}function cn(t){if(!t)return!0;var e,r=t[0];return 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Qr({layer:r,key:t.key,value:t.value,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{\\\"*\\\":function(t){return gn(It({layerType:s},t))}}})}}}))}function xn(t){var e=t.value,r=t.key,n=Fr(e);return\\\"string\\\"!==n?[new Ct(r,e,\\\"string expected, \\\"+n+\\\" found\\\")]:[]}var bn={promoteId:function(t){var e=t.key,r=t.value;if(\\\"string\\\"===Fr(r))return xn({key:e,value:r});var n=[];for(var i in r)n.push.apply(n,xn({key:e+\\\".\\\"+i,value:r[i]}));return n}};function _n(t){var e=t.value,r=t.key,n=t.styleSpec,i=t.style;if(!e.type)return[new Ct(r,e,'\\\"type\\\" is required')];var a,o=Ot(e.type);switch(o){case\\\"vector\\\":case\\\"raster\\\":case\\\"raster-dem\\\":return a=Qr({key:r,value:e,valueSpec:n[\\\"source_\\\"+o.replace(\\\"-\\\",\\\"_\\\")],style:t.style,styleSpec:n,objectElementValidators:bn});case\\\"geojson\\\":if(a=Qr({key:r,value:e,valueSpec:n.source_geojson,style:i,styleSpec:n,objectElementValidators:bn}),e.cluster)for(var s in e.clusterProperties){var l=e.clusterProperties[s],c=l[0],u=l[1],f=\\\"string\\\"==typeof c?[c,[\\\"accumulated\\\"],[\\\"get\\\",s]]:c;a.push.apply(a,rn({key:r+\\\".\\\"+s+\\\".map\\\",value:u,expressionContext:\\\"cluster-map\\\"})),a.push.apply(a,rn({key:r+\\\".\\\"+s+\\\".reduce\\\",value:f,expressionContext:\\\"cluster-reduce\\\"}))}return a;case\\\"video\\\":return Qr({key:r,value:e,valueSpec:n.source_video,style:i,styleSpec:n});case\\\"image\\\":return Qr({key:r,value:e,valueSpec:n.source_image,style:i,styleSpec:n});case\\\"canvas\\\":return[new Ct(r,null,\\\"Please use runtime APIs to add canvas sources, rather than including them in stylesheets.\\\",\\\"source.canvas\\\")];default:return nn({key:r+\\\".type\\\",value:e.type,valueSpec:{values:[\\\"vector\\\",\\\"raster\\\",\\\"raster-dem\\\",\\\"geojson\\\",\\\"video\\\",\\\"image\\\"]},style:i,styleSpec:n})}}function wn(t){var e=t.value,r=t.styleSpec,n=r.light,i=t.style,a=[],o=Fr(e);if(void 0===e)return a;if(\\\"object\\\"!==o)return a=a.concat([new Ct(\\\"light\\\",e,\\\"object expected, \\\"+o+\\\" found\\\")]);for(var s in e){var l=s.match(/^(.*)-transition$/);a=l&&n[l[1]]&&n[l[1]].transition?a.concat(kn({key:s,value:e[s],valueSpec:r.transition,style:i,styleSpec:r})):n[s]?a.concat(kn({key:s,value:e[s],valueSpec:n[s],style:i,styleSpec:r})):a.concat([new Ct(s,e[s],'unknown property \\\"'+s+'\\\"')])}return a}var Tn={\\\"*\\\":function(){return[]},array:$r,boolean:function(t){var e=t.value,r=t.key,n=Fr(e);return\\\"boolean\\\"!==n?[new Ct(r,e,\\\"boolean expected, \\\"+n+\\\" found\\\")]:[]},number:tn,color:function(t){var e=t.key,r=t.value,n=Fr(r);return\\\"string\\\"!==n?[new Ct(e,r,\\\"color expected, \\\"+n+\\\" found\\\")]:null===$t(r)?[new Ct(e,r,'color expected, \\\"'+r+'\\\" found')]:[]},constants:Pt,enum:nn,filter:dn,function:en,layer:yn,object:Qr,source:_n,light:wn,string:xn,formatted:function(t){return 0===xn(t).length?[]:rn(t)},resolvedImage:function(t){return 0===xn(t).length?[]:rn(t)}};function kn(t){var e=t.value,r=t.valueSpec,n=t.styleSpec;return r.expression&&Br(Ot(e))?en(t):r.expression&&Yr(zt(e))?rn(t):r.type&&Tn[r.type]?Tn[r.type](t):Qr(It({},t,{valueSpec:r.type?n[r.type]:r}))}function Mn(t){var e=t.value,r=t.key,n=xn(t);return n.length||(-1===e.indexOf(\\\"{fontstack}\\\")&&n.push(new Ct(r,e,'\\\"glyphs\\\" url must include a \\\"{fontstack}\\\" token')),-1===e.indexOf(\\\"{range}\\\")&&n.push(new Ct(r,e,'\\\"glyphs\\\" url must include a \\\"{range}\\\" token'))),n}function An(t,e){void 0===e&&(e=Lt);var r=[];return r=r.concat(kn({key:\\\"\\\",value:t,valueSpec:e.$root,styleSpec:e,style:t,objectElementValidators:{glyphs:Mn,\\\"*\\\":function(){return[]}}})),t.constants&&(r=r.concat(Pt({key:\\\"constants\\\",value:t.constants,style:t,styleSpec:e}))),Sn(r)}function Sn(t){return[].concat(t).sort((function(t,e){return t.line-e.line}))}function En(t){return function(){for(var e=[],r=arguments.length;r--;)e[r]=arguments[r];return 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l=this._convertToCellCoord(t),c=this._convertToCellCoord(e),u=this._convertToCellCoord(r),f=this._convertToCellCoord(n),h=l;h<=u;h++)for(var p=c;p<=f;p++){var d=this.d*p+h;if((!s||s(this._convertFromCellCoord(h),this._convertFromCellCoord(p),this._convertFromCellCoord(h+1),this._convertFromCellCoord(p+1)))&&i.call(this,t,e,r,n,d,a,o,s))return}},Dn.prototype._convertFromCellCoord=function(t){return(t-this.padding)/this.scale},Dn.prototype._convertToCellCoord=function(t){return Math.max(0,Math.min(this.d-1,Math.floor(t*this.scale)+this.padding))},Dn.prototype.toArrayBuffer=function(){if(this.arrayBuffer)return this.arrayBuffer;for(var t=this.cells,e=3+this.cells.length+1+1,r=0,n=0;n<this.cells.length;n++)r+=this.cells[n].length;var i=new Int32Array(e+r+this.keys.length+this.bboxes.length);i[0]=this.extent,i[1]=this.n,i[2]=this.padding;for(var a=e,o=0;o<t.length;o++){var s=t[o];i[3+o]=a,i.set(s,a),a+=s.length}return 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di=function(t,e){this.property=t,this.value=e,this.expression=function(t,e){if(Br(t))return new Kr(t,e);if(Yr(t)){var r=Jr(t,e);if(\\\"error\\\"===r.result)throw new Error(r.value.map((function(t){return t.key+\\\": \\\"+t.message})).join(\\\", \\\"));return r.value}var n=t;return\\\"string\\\"==typeof t&&\\\"color\\\"===e.type&&(n=te.parse(t)),{kind:\\\"constant\\\",evaluate:function(){return n}}}(void 0===e?t.specification.default:e,t.specification)};di.prototype.isDataDriven=function(){return\\\"source\\\"===this.expression.kind||\\\"composite\\\"===this.expression.kind},di.prototype.possiblyEvaluate=function(t,e,r){return this.property.possiblyEvaluate(this,t,e,r)};var mi=function(t){this.property=t,this.value=new di(t,void 0)};mi.prototype.transitioned=function(t,e){return new vi(this.property,this.value,e,u({},t.transition,this.transition),t.now)},mi.prototype.untransitioned=function(){return new vi(this.property,this.value,null,{},0)};var 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_i(this._properties),i=0,a=Object.keys(this._values);i<a.length;i+=1){var o=a[i];n._values[o]=this._values[o].possiblyEvaluate(t,e,r)}return n};var bi=function(t,e,r){this.property=t,this.value=e,this.parameters=r};bi.prototype.isConstant=function(){return\\\"constant\\\"===this.value.kind},bi.prototype.constantOr=function(t){return\\\"constant\\\"===this.value.kind?this.value.value:t},bi.prototype.evaluate=function(t,e,r,n){return this.property.evaluate(this.value,this.parameters,t,e,r,n)};var _i=function(t){this._properties=t,this._values=Object.create(t.defaultPossiblyEvaluatedValues)};_i.prototype.get=function(t){return this._values[t]};var wi=function(t){this.specification=t};wi.prototype.possiblyEvaluate=function(t,e){return t.expression.evaluate(e)},wi.prototype.interpolate=function(t,e,r){var n=Ge[this.specification.type];return n?n(t,e,r):t};var Ti=function(t,e){this.specification=t,this.overrides=e};Ti.prototype.possiblyEvaluate=function(t,e,r,n){return\\\"constant\\\"===t.expression.kind||\\\"camera\\\"===t.expression.kind?new bi(this,{kind:\\\"constant\\\",value:t.expression.evaluate(e,null,{},r,n)},e):new bi(this,t.expression,e)},Ti.prototype.interpolate=function(t,e,r){if(\\\"constant\\\"!==t.value.kind||\\\"constant\\\"!==e.value.kind)return t;if(void 0===t.value.value||void 0===e.value.value)return new bi(this,{kind:\\\"constant\\\",value:void 0},t.parameters);var n=Ge[this.specification.type];return n?new bi(this,{kind:\\\"constant\\\",value:n(t.value.value,e.value.value,r)},t.parameters):t},Ti.prototype.evaluate=function(t,e,r,n,i,a){return\\\"constant\\\"===t.kind?t.value:t.evaluate(e,r,n,i,a)};var ki=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.possiblyEvaluate=function(t,e,r,n){if(void 0===t.value)return new bi(this,{kind:\\\"constant\\\",value:void 0},e);if(\\\"constant\\\"===t.expression.kind){var i=t.expression.evaluate(e,null,{},r,n),a=\\\"resolvedImage\\\"===t.property.specification.type&&\\\"string\\\"!=typeof i?i.name:i,o=this._calculate(a,a,a,e);return new bi(this,{kind:\\\"constant\\\",value:o},e)}if(\\\"camera\\\"===t.expression.kind){var s=this._calculate(t.expression.evaluate({zoom:e.zoom-1}),t.expression.evaluate({zoom:e.zoom}),t.expression.evaluate({zoom:e.zoom+1}),e);return new bi(this,{kind:\\\"constant\\\",value:s},e)}return new bi(this,t.expression,e)},e.prototype.evaluate=function(t,e,r,n,i,a){if(\\\"source\\\"===t.kind){var o=t.evaluate(e,r,n,i,a);return this._calculate(o,o,o,e)}return\\\"composite\\\"===t.kind?this._calculate(t.evaluate({zoom:Math.floor(e.zoom)-1},r,n),t.evaluate({zoom:Math.floor(e.zoom)},r,n),t.evaluate({zoom:Math.floor(e.zoom)+1},r,n),e):t.value},e.prototype._calculate=function(t,e,r,n){return n.zoom>n.zoomHistory.lastIntegerZoom?{from:t,to:e}:{from:r,to:e}},e.prototype.interpolate=function(t){return t},e}(Ti),Mi=function(t){this.specification=t};Mi.prototype.possiblyEvaluate=function(t,e,r,n){if(void 0!==t.value){if(\\\"constant\\\"===t.expression.kind){var i=t.expression.evaluate(e,null,{},r,n);return this._calculate(i,i,i,e)}return this._calculate(t.expression.evaluate(new pi(Math.floor(e.zoom-1),e)),t.expression.evaluate(new pi(Math.floor(e.zoom),e)),t.expression.evaluate(new pi(Math.floor(e.zoom+1),e)),e)}},Mi.prototype._calculate=function(t,e,r,n){return n.zoom>n.zoomHistory.lastIntegerZoom?{from:t,to:e}:{from:r,to:e}},Mi.prototype.interpolate=function(t){return t};var Ai=function(t){this.specification=t};Ai.prototype.possiblyEvaluate=function(t,e,r,n){return!!t.expression.evaluate(e,null,{},r,n)},Ai.prototype.interpolate=function(){return!1};var Si=function(t){for(var e in this.properties=t,this.defaultPropertyValues={},this.defaultTransitionablePropertyValues={},this.defaultTransitioningPropertyValues={},this.defaultPossiblyEvaluatedValues={},this.overridableProperties=[],t){var r=t[e];r.specification.overridable&&this.overridableProperties.push(e);var n=this.defaultPropertyValues[e]=new di(r,void 0),i=this.defaultTransitionablePropertyValues[e]=new mi(r);this.defaultTransitioningPropertyValues[e]=i.untransitioned(),this.defaultPossiblyEvaluatedValues[e]=n.possiblyEvaluate({})}};Nn(\\\"DataDrivenProperty\\\",Ti),Nn(\\\"DataConstantProperty\\\",wi),Nn(\\\"CrossFadedDataDrivenProperty\\\",ki),Nn(\\\"CrossFadedProperty\\\",Mi),Nn(\\\"ColorRampProperty\\\",Ai);var Ei=function(t){function e(e,r){if(t.call(this),this.id=e.id,this.type=e.type,this._featureFilter={filter:function(){return!0},needGeometry:!1},\\\"custom\\\"!==e.type&&(e=e,this.metadata=e.metadata,this.minzoom=e.minzoom,this.maxzoom=e.maxzoom,\\\"background\\\"!==e.type&&(this.source=e.source,this.sourceLayer=e[\\\"source-layer\\\"],this.filter=e.filter),r.layout&&(this._unevaluatedLayout=new xi(r.layout)),r.paint)){for(var n in this._transitionablePaint=new gi(r.paint),e.paint)this.setPaintProperty(n,e.paint[n],{validate:!1});for(var i in e.layout)this.setLayoutProperty(i,e.layout[i],{validate:!1});this._transitioningPaint=this._transitionablePaint.untransitioned(),this.paint=new _i(r.paint)}}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getCrossfadeParameters=function(){return this._crossfadeParameters},e.prototype.getLayoutProperty=function(t){return\\\"visibility\\\"===t?this.visibility:this._unevaluatedLayout.getValue(t)},e.prototype.setLayoutProperty=function(t,e,r){if(void 0===r&&(r={}),null!=e){var n=\\\"layers.\\\"+this.id+\\\".layout.\\\"+t;if(this._validate(In,n,t,e,r))return}\\\"visibility\\\"!==t?this._unevaluatedLayout.setValue(t,e):this.visibility=e},e.prototype.getPaintProperty=function(t){return g(t,\\\"-transition\\\")?this._transitionablePaint.getTransition(t.slice(0,-\\\"-transition\\\".length)):this._transitionablePaint.getValue(t)},e.prototype.setPaintProperty=function(t,e,r){if(void 0===r&&(r={}),null!=e){var n=\\\"layers.\\\"+this.id+\\\".paint.\\\"+t;if(this._validate(Pn,n,t,e,r))return!1}if(g(t,\\\"-transition\\\"))return this._transitionablePaint.setTransition(t.slice(0,-\\\"-transition\\\".length),e||void 0),!1;var i=this._transitionablePaint._values[t],a=\\\"cross-faded-data-driven\\\"===i.property.specification[\\\"property-type\\\"],o=i.value.isDataDriven(),s=i.value;this._transitionablePaint.setValue(t,e),this._handleSpecialPaintPropertyUpdate(t);var l=this._transitionablePaint._values[t].value;return l.isDataDriven()||o||a||this._handleOverridablePaintPropertyUpdate(t,s,l)},e.prototype._handleSpecialPaintPropertyUpdate=function(t){},e.prototype._handleOverridablePaintPropertyUpdate=function(t,e,r){return!1},e.prototype.isHidden=function(t){return!!(this.minzoom&&t<this.minzoom)||(!!(this.maxzoom&&t>=this.maxzoom)||\\\"none\\\"===this.visibility)},e.prototype.updateTransitions=function(t){this._transitioningPaint=this._transitionablePaint.transitioned(t,this._transitioningPaint)},e.prototype.hasTransition=function(){return this._transitioningPaint.hasTransition()},e.prototype.recalculate=function(t,e){t.getCrossfadeParameters&&(this._crossfadeParameters=t.getCrossfadeParameters()),this._unevaluatedLayout&&(this.layout=this._unevaluatedLayout.possiblyEvaluate(t,void 0,e)),this.paint=this._transitioningPaint.possiblyEvaluate(t,void 0,e)},e.prototype.serialize=function(){var t={id:this.id,type:this.type,source:this.source,\\\"source-layer\\\":this.sourceLayer,metadata:this.metadata,minzoom:this.minzoom,maxzoom:this.maxzoom,filter:this.filter,layout:this._unevaluatedLayout&&this._unevaluatedLayout.serialize(),paint:this._transitionablePaint&&this._transitionablePaint.serialize()};return this.visibility&&(t.layout=t.layout||{},t.layout.visibility=this.visibility),y(t,(function(t,e){return!(void 0===t||\\\"layout\\\"===e&&!Object.keys(t).length||\\\"paint\\\"===e&&!Object.keys(t).length)}))},e.prototype._validate=function(t,e,r,n,i){return void 0===i&&(i={}),(!i||!1!==i.validate)&&On(this,t.call(Ln,{key:e,layerType:this.type,objectKey:r,value:n,styleSpec:Lt,style:{glyphs:!0,sprite:!0}}))},e.prototype.is3D=function(){return!1},e.prototype.isTileClipped=function(){return!1},e.prototype.hasOffscreenPass=function(){return!1},e.prototype.resize=function(){},e.prototype.isStateDependent=function(){for(var t in this.paint._values){var e=this.paint.get(t);if(e instanceof bi&&zr(e.property.specification)&&((\\\"source\\\"===e.value.kind||\\\"composite\\\"===e.value.kind)&&e.value.isStateDependent))return!0}return!1},e}(Et),Li={Int8:Int8Array,Uint8:Uint8Array,Int16:Int16Array,Uint16:Uint16Array,Int32:Int32Array,Uint32:Uint32Array,Float32:Float32Array},Ci=function(t,e){this._structArray=t,this._pos1=e*this.size,this._pos2=this._pos1/2,this._pos4=this._pos1/4,this._pos8=this._pos1/8},Pi=function(){this.isTransferred=!1,this.capacity=-1,this.resize(0)};function Ii(t,e){void 0===e&&(e=1);var r=0,n=0;return{members:t.map((function(t){var i,a=(i=t.type,Li[i].BYTES_PER_ELEMENT),o=r=Oi(r,Math.max(e,a)),s=t.components||1;return n=Math.max(n,a),r+=a*s,{name:t.name,type:t.type,components:s,offset:o}})),size:Oi(r,Math.max(n,e)),alignment:e}}function Oi(t,e){return Math.ceil(t/e)*e}Pi.serialize=function(t,e){return t._trim(),e&&(t.isTransferred=!0,e.push(t.arrayBuffer)),{length:t.length,arrayBuffer:t.arrayBuffer}},Pi.deserialize=function(t){var e=Object.create(this.prototype);return e.arrayBuffer=t.arrayBuffer,e.length=t.length,e.capacity=t.arrayBuffer.byteLength/e.bytesPerElement,e._refreshViews(),e},Pi.prototype._trim=function(){this.length!==this.capacity&&(this.capacity=this.length,this.arrayBuffer=this.arrayBuffer.slice(0,this.length*this.bytesPerElement),this._refreshViews())},Pi.prototype.clear=function(){this.length=0},Pi.prototype.resize=function(t){this.reserve(t),this.length=t},Pi.prototype.reserve=function(t){if(t>this.capacity){this.capacity=Math.max(t,Math.floor(5*this.capacity),128),this.arrayBuffer=new ArrayBuffer(this.capacity*this.bytesPerElement);var e=this.uint8;this._refreshViews(),e&&this.uint8.set(e)}},Pi.prototype._refreshViews=function(){throw new Error(\\\"_refreshViews() must be implemented by each concrete StructArray layout\\\")};var zi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.int16[n+0]=e,this.int16[n+1]=r,t},e}(Pi);zi.prototype.bytesPerElement=4,Nn(\\\"StructArrayLayout2i4\\\",zi);var Di=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,i){var a=4*t;return this.int16[a+0]=e,this.int16[a+1]=r,this.int16[a+2]=n,this.int16[a+3]=i,t},e}(Pi);Di.prototype.bytesPerElement=8,Nn(\\\"StructArrayLayout4i8\\\",Di);var Ri=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=6*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.int16[s+2]=n,this.int16[s+3]=i,this.int16[s+4]=a,this.int16[s+5]=o,t},e}(Pi);Ri.prototype.bytesPerElement=12,Nn(\\\"StructArrayLayout2i4i12\\\",Ri);var Fi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=4*t,l=8*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.uint8[l+4]=n,this.uint8[l+5]=i,this.uint8[l+6]=a,this.uint8[l+7]=o,t},e}(Pi);Fi.prototype.bytesPerElement=8,Nn(\\\"StructArrayLayout2i4ub8\\\",Fi);var Bi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c){var u=this.length;return this.resize(u+1),this.emplace(u,t,e,r,n,i,a,o,s,l,c)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u){var f=9*t,h=18*t;return this.uint16[f+0]=e,this.uint16[f+1]=r,this.uint16[f+2]=n,this.uint16[f+3]=i,this.uint16[f+4]=a,this.uint16[f+5]=o,this.uint16[f+6]=s,this.uint16[f+7]=l,this.uint8[h+16]=c,this.uint8[h+17]=u,t},e}(Pi);Bi.prototype.bytesPerElement=18,Nn(\\\"StructArrayLayout8ui2ub18\\\",Bi);var Ni=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c,u,f){var h=this.length;return this.resize(h+1),this.emplace(h,t,e,r,n,i,a,o,s,l,c,u,f)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u,f,h){var p=12*t;return this.int16[p+0]=e,this.int16[p+1]=r,this.int16[p+2]=n,this.int16[p+3]=i,this.uint16[p+4]=a,this.uint16[p+5]=o,this.uint16[p+6]=s,this.uint16[p+7]=l,this.int16[p+8]=c,this.int16[p+9]=u,this.int16[p+10]=f,this.int16[p+11]=h,t},e}(Pi);Ni.prototype.bytesPerElement=24,Nn(\\\"StructArrayLayout4i4ui4i24\\\",Ni);var ji=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.float32[i+0]=e,this.float32[i+1]=r,this.float32[i+2]=n,t},e}(Pi);ji.prototype.bytesPerElement=12,Nn(\\\"StructArrayLayout3f12\\\",ji);var Ui=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.uint32[r+0]=e,t},e}(Pi);Ui.prototype.bytesPerElement=4,Nn(\\\"StructArrayLayout1ul4\\\",Ui);var Vi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l){var c=this.length;return this.resize(c+1),this.emplace(c,t,e,r,n,i,a,o,s,l)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c){var u=10*t,f=5*t;return this.int16[u+0]=e,this.int16[u+1]=r,this.int16[u+2]=n,this.int16[u+3]=i,this.int16[u+4]=a,this.int16[u+5]=o,this.uint32[f+3]=s,this.uint16[u+8]=l,this.uint16[u+9]=c,t},e}(Pi);Vi.prototype.bytesPerElement=20,Nn(\\\"StructArrayLayout6i1ul2ui20\\\",Vi);var qi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=6*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.int16[s+2]=n,this.int16[s+3]=i,this.int16[s+4]=a,this.int16[s+5]=o,t},e}(Pi);qi.prototype.bytesPerElement=12,Nn(\\\"StructArrayLayout2i2i2i12\\\",qi);var Hi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i){var a=this.length;return this.resize(a+1),this.emplace(a,t,e,r,n,i)},e.prototype.emplace=function(t,e,r,n,i,a){var o=4*t,s=8*t;return this.float32[o+0]=e,this.float32[o+1]=r,this.float32[o+2]=n,this.int16[s+6]=i,this.int16[s+7]=a,t},e}(Pi);Hi.prototype.bytesPerElement=16,Nn(\\\"StructArrayLayout2f1f2i16\\\",Hi);var Gi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,i){var a=12*t,o=3*t;return this.uint8[a+0]=e,this.uint8[a+1]=r,this.float32[o+1]=n,this.float32[o+2]=i,t},e}(Pi);Gi.prototype.bytesPerElement=12,Nn(\\\"StructArrayLayout2ub2f12\\\",Gi);var Yi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.uint16[i+0]=e,this.uint16[i+1]=r,this.uint16[i+2]=n,t},e}(Pi);Yi.prototype.bytesPerElement=6,Nn(\\\"StructArrayLayout3ui6\\\",Yi);var Wi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,m,g){var v=this.length;return this.resize(v+1),this.emplace(v,t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,m,g)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,m,g,v){var y=24*t,x=12*t,b=48*t;return this.int16[y+0]=e,this.int16[y+1]=r,this.uint16[y+2]=n,this.uint16[y+3]=i,this.uint32[x+2]=a,this.uint32[x+3]=o,this.uint32[x+4]=s,this.uint16[y+10]=l,this.uint16[y+11]=c,this.uint16[y+12]=u,this.float32[x+7]=f,this.float32[x+8]=h,this.uint8[b+36]=p,this.uint8[b+37]=d,this.uint8[b+38]=m,this.uint32[x+10]=g,this.int16[y+22]=v,t},e}(Pi);Wi.prototype.bytesPerElement=48,Nn(\\\"StructArrayLayout2i2ui3ul3ui2f3ub1ul1i48\\\",Wi);var Xi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,m,g,v,y,x,b,_,w,T,k,M,A,S){var E=this.length;return this.resize(E+1),this.emplace(E,t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,m,g,v,y,x,b,_,w,T,k,M,A,S)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,m,g,v,y,x,b,_,w,T,k,M,A,S,E){var L=34*t,C=17*t;return this.int16[L+0]=e,this.int16[L+1]=r,this.int16[L+2]=n,this.int16[L+3]=i,this.int16[L+4]=a,this.int16[L+5]=o,this.int16[L+6]=s,this.int16[L+7]=l,this.uint16[L+8]=c,this.uint16[L+9]=u,this.uint16[L+10]=f,this.uint16[L+11]=h,this.uint16[L+12]=p,this.uint16[L+13]=d,this.uint16[L+14]=m,this.uint16[L+15]=g,this.uint16[L+16]=v,this.uint16[L+17]=y,this.uint16[L+18]=x,this.uint16[L+19]=b,this.uint16[L+20]=_,this.uint16[L+21]=w,this.uint16[L+22]=T,this.uint32[C+12]=k,this.float32[C+13]=M,this.float32[C+14]=A,this.float32[C+15]=S,this.float32[C+16]=E,t},e}(Pi);Xi.prototype.bytesPerElement=68,Nn(\\\"StructArrayLayout8i15ui1ul4f68\\\",Xi);var Zi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.float32[r+0]=e,t},e}(Pi);Zi.prototype.bytesPerElement=4,Nn(\\\"StructArrayLayout1f4\\\",Zi);var Ji=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.int16[i+0]=e,this.int16[i+1]=r,this.int16[i+2]=n,t},e}(Pi);Ji.prototype.bytesPerElement=6,Nn(\\\"StructArrayLayout3i6\\\",Ji);var Ki=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=2*t,a=4*t;return this.uint32[i+0]=e,this.uint16[a+2]=r,this.uint16[a+3]=n,t},e}(Pi);Ki.prototype.bytesPerElement=8,Nn(\\\"StructArrayLayout1ul2ui8\\\",Ki);var Qi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new 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t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.float32[n+0]=e,this.float32[n+1]=r,t},e}(Pi);ta.prototype.bytesPerElement=8,Nn(\\\"StructArrayLayout2f8\\\",ta);var ea=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,i){var a=4*t;return this.float32[a+0]=e,this.float32[a+1]=r,this.float32[a+2]=n,this.float32[a+3]=i,t},e}(Pi);ea.prototype.bytesPerElement=16,Nn(\\\"StructArrayLayout4f16\\\",ea);var ra=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={anchorPointX:{configurable:!0},anchorPointY:{configurable:!0},x1:{configurable:!0},y1:{configurable:!0},x2:{configurable:!0},y2:{configurable:!0},featureIndex:{configurable:!0},sourceLayerIndex:{configurable:!0},bucketIndex:{configurable:!0},anchorPoint:{configurable:!0}};return r.anchorPointX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorPointY.get=function(){return this._structArray.int16[this._pos2+1]},r.x1.get=function(){return this._structArray.int16[this._pos2+2]},r.y1.get=function(){return this._structArray.int16[this._pos2+3]},r.x2.get=function(){return this._structArray.int16[this._pos2+4]},r.y2.get=function(){return this._structArray.int16[this._pos2+5]},r.featureIndex.get=function(){return this._structArray.uint32[this._pos4+3]},r.sourceLayerIndex.get=function(){return this._structArray.uint16[this._pos2+8]},r.bucketIndex.get=function(){return this._structArray.uint16[this._pos2+9]},r.anchorPoint.get=function(){return new i(this.anchorPointX,this.anchorPointY)},Object.defineProperties(e.prototype,r),e}(Ci);ra.prototype.size=20;var na=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.get=function(t){return new ra(this,t)},e}(Vi);Nn(\\\"CollisionBoxArray\\\",na);var ia=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var 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r={anchorX:{configurable:!0},anchorY:{configurable:!0},rightJustifiedTextSymbolIndex:{configurable:!0},centerJustifiedTextSymbolIndex:{configurable:!0},leftJustifiedTextSymbolIndex:{configurable:!0},verticalPlacedTextSymbolIndex:{configurable:!0},placedIconSymbolIndex:{configurable:!0},verticalPlacedIconSymbolIndex:{configurable:!0},key:{configurable:!0},textBoxStartIndex:{configurable:!0},textBoxEndIndex:{configurable:!0},verticalTextBoxStartIndex:{configurable:!0},verticalTextBoxEndIndex:{configurable:!0},iconBoxStartIndex:{configurable:!0},iconBoxEndIndex:{configurable:!0},verticalIconBoxStartIndex:{configurable:!0},verticalIconBoxEndIndex:{configurable:!0},featureIndex:{configurable:!0},numHorizontalGlyphVertices:{configurable:!0},numVerticalGlyphVertices:{configurable:!0},numIconVertices:{configurable:!0},numVerticalIconVertices:{configurable:!0},useRuntimeCollisionCircles:{configurable:!0},crossTileID:{configurable:!0},textBoxScale:{configurable:!0},textOffset0:{configurable:!0},textOffset1:{configurable:!0},collisionCircleDiameter:{configurable:!0}};return 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this._structArray.uint16[this._pos2+11]},r.verticalTextBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+12]},r.iconBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+13]},r.iconBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+14]},r.verticalIconBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+15]},r.verticalIconBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+16]},r.featureIndex.get=function(){return this._structArray.uint16[this._pos2+17]},r.numHorizontalGlyphVertices.get=function(){return this._structArray.uint16[this._pos2+18]},r.numVerticalGlyphVertices.get=function(){return this._structArray.uint16[this._pos2+19]},r.numIconVertices.get=function(){return this._structArray.uint16[this._pos2+20]},r.numVerticalIconVertices.get=function(){return this._structArray.uint16[this._pos2+21]},r.useRuntimeCollisionCircles.get=function(){return 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a=this.paintVertexArray.length,o=this.expression.evaluate(new pi(0),e,{},n,[],i);this.paintVertexArray.resize(t),this._setPaintValue(a,t,o)},Fa.prototype.updatePaintArray=function(t,e,r,n){var i=this.expression.evaluate({zoom:0},r,n);this._setPaintValue(t,e,i)},Fa.prototype._setPaintValue=function(t,e,r){if(\\\"color\\\"===this.type)for(var n=za(r),i=t;i<e;i++)this.paintVertexArray.emplace(i,n[0],n[1]);else{for(var a=t;a<e;a++)this.paintVertexArray.emplace(a,r);this.maxValue=Math.max(this.maxValue,Math.abs(r))}},Fa.prototype.upload=function(t){this.paintVertexArray&&this.paintVertexArray.arrayBuffer&&(this.paintVertexBuffer&&this.paintVertexBuffer.buffer?this.paintVertexBuffer.updateData(this.paintVertexArray):this.paintVertexBuffer=t.createVertexBuffer(this.paintVertexArray,this.paintVertexAttributes,this.expression.isStateDependent))},Fa.prototype.destroy=function(){this.paintVertexBuffer&&this.paintVertexBuffer.destroy()};var Ba=function(t,e,r,n,i,a){this.expression=t,this.uniformNames=e.map((function(t){return\\\"u_\\\"+t+\\\"_t\\\"})),this.type=r,this.useIntegerZoom=n,this.zoom=i,this.maxValue=0,this.paintVertexAttributes=e.map((function(t){return{name:\\\"a_\\\"+t,type:\\\"Float32\\\",components:\\\"color\\\"===r?4:2,offset:0}})),this.paintVertexArray=new a};Ba.prototype.populatePaintArray=function(t,e,r,n,i){var a=this.expression.evaluate(new pi(this.zoom),e,{},n,[],i),o=this.expression.evaluate(new pi(this.zoom+1),e,{},n,[],i),s=this.paintVertexArray.length;this.paintVertexArray.resize(t),this._setPaintValue(s,t,a,o)},Ba.prototype.updatePaintArray=function(t,e,r,n){var i=this.expression.evaluate({zoom:this.zoom},r,n),a=this.expression.evaluate({zoom:this.zoom+1},r,n);this._setPaintValue(t,e,i,a)},Ba.prototype._setPaintValue=function(t,e,r,n){if(\\\"color\\\"===this.type)for(var i=za(r),a=za(n),o=t;o<e;o++)this.paintVertexArray.emplace(o,i[0],i[1],a[0],a[1]);else{for(var s=t;s<e;s++)this.paintVertexArray.emplace(s,r,n);this.maxValue=Math.max(this.maxValue,Math.abs(r),Math.abs(n))}},Ba.prototype.upload=function(t){this.paintVertexArray&&this.paintVertexArray.arrayBuffer&&(this.paintVertexBuffer&&this.paintVertexBuffer.buffer?this.paintVertexBuffer.updateData(this.paintVertexArray):this.paintVertexBuffer=t.createVertexBuffer(this.paintVertexArray,this.paintVertexAttributes,this.expression.isStateDependent))},Ba.prototype.destroy=function(){this.paintVertexBuffer&&this.paintVertexBuffer.destroy()},Ba.prototype.setUniform=function(t,e){var r=this.useIntegerZoom?Math.floor(e.zoom):e.zoom,n=l(this.expression.interpolationFactor(r,this.zoom,this.zoom+1),0,1);t.set(n)},Ba.prototype.getBinding=function(t,e,r){return new Sa(t,e)};var Na=function(t,e,r,n,i,a){this.expression=t,this.type=e,this.useIntegerZoom=r,this.zoom=n,this.layerId=a,this.zoomInPaintVertexArray=new i,this.zoomOutPaintVertexArray=new i};Na.prototype.populatePaintArray=function(t,e,r){var n=this.zoomInPaintVertexArray.length;this.zoomInPaintVertexArray.resize(t),this.zoomOutPaintVertexArray.resize(t),this._setPaintValues(n,t,e.patterns&&e.patterns[this.layerId],r)},Na.prototype.updatePaintArray=function(t,e,r,n,i){this._setPaintValues(t,e,r.patterns&&r.patterns[this.layerId],i)},Na.prototype._setPaintValues=function(t,e,r,n){if(n&&r){var i=r.min,a=r.mid,o=r.max,s=n[i],l=n[a],c=n[o];if(s&&l&&c)for(var u=t;u<e;u++)this.zoomInPaintVertexArray.emplace(u,l.tl[0],l.tl[1],l.br[0],l.br[1],s.tl[0],s.tl[1],s.br[0],s.br[1],l.pixelRatio,s.pixelRatio),this.zoomOutPaintVertexArray.emplace(u,l.tl[0],l.tl[1],l.br[0],l.br[1],c.tl[0],c.tl[1],c.br[0],c.br[1],l.pixelRatio,c.pixelRatio)}},Na.prototype.upload=function(t){this.zoomInPaintVertexArray&&this.zoomInPaintVertexArray.arrayBuffer&&this.zoomOutPaintVertexArray&&this.zoomOutPaintVertexArray.arrayBuffer&&(this.zoomInPaintVertexBuffer=t.createVertexBuffer(this.zoomInPaintVertexArray,ma.members,this.expression.isStateDependent),this.zoomOutPaintVertexBuffer=t.createVertexBuffer(this.zoomOutPaintVertexArray,ma.members,this.expression.isStateDependent))},Na.prototype.destroy=function(){this.zoomOutPaintVertexBuffer&&this.zoomOutPaintVertexBuffer.destroy(),this.zoomInPaintVertexBuffer&&this.zoomInPaintVertexBuffer.destroy()};var ja=function(t,e,r,n){this.binders={},this.layoutAttributes=n,this._buffers=[];var i=[];for(var a in t.paint._values)if(r(a)){var o=t.paint.get(a);if(o instanceof bi&&zr(o.property.specification)){var s=Va(a,t.type),l=o.value,c=o.property.specification.type,u=o.property.useIntegerZoom,f=o.property.specification[\\\"property-type\\\"],h=\\\"cross-faded\\\"===f||\\\"cross-faded-data-driven\\\"===f;if(\\\"constant\\\"===l.kind)this.binders[a]=h?new Ra(l.value,s):new Da(l.value,s,c),i.push(\\\"/u_\\\"+a);else if(\\\"source\\\"===l.kind||h){var p=qa(a,c,\\\"source\\\");this.binders[a]=h?new Na(l,c,u,e,p,t.id):new Fa(l,s,c,p),i.push(\\\"/a_\\\"+a)}else{var d=qa(a,c,\\\"composite\\\");this.binders[a]=new Ba(l,s,c,u,e,d),i.push(\\\"/z_\\\"+a)}}}this.cacheKey=i.sort().join(\\\"\\\")};ja.prototype.getMaxValue=function(t){var e=this.binders[t];return e instanceof Fa||e instanceof Ba?e.maxValue:0},ja.prototype.populatePaintArrays=function(t,e,r,n,i){for(var a in this.binders){var o=this.binders[a];(o instanceof Fa||o instanceof Ba||o instanceof 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Da||i instanceof Ra||i instanceof Ba)for(var a=0,o=i.uniformNames;a<o.length;a+=1){var s=o[a];if(e[s]){var l=i.getBinding(t,e[s],s);r.push({name:s,property:n,binding:l})}}}return r},ja.prototype.setUniforms=function(t,e,r,n){for(var i=0,a=e;i<a.length;i+=1){var o=a[i],s=o.name,l=o.property,c=o.binding;this.binders[l].setUniform(c,n,r.get(l),s)}},ja.prototype.updatePaintBuffers=function(t){for(var e in this._buffers=[],this.binders){var r=this.binders[e];if(t&&r instanceof Na){var n=2===t.fromScale?r.zoomInPaintVertexBuffer:r.zoomOutPaintVertexBuffer;n&&this._buffers.push(n)}else(r instanceof Fa||r instanceof Ba)&&r.paintVertexBuffer&&this._buffers.push(r.paintVertexBuffer)}},ja.prototype.upload=function(t){for(var e in this.binders){var r=this.binders[e];(r instanceof Fa||r instanceof Ba||r instanceof Na)&&r.upload(t)}this.updatePaintBuffers()},ja.prototype.destroy=function(){for(var t in this.binders){var e=this.binders[t];(e instanceof Fa||e instanceof Ba||e instanceof Na)&&e.destroy()}};var Ua=function(t,e,r,n){void 0===n&&(n=function(){return!0}),this.programConfigurations={};for(var i=0,a=e;i<a.length;i+=1){var o=a[i];this.programConfigurations[o.id]=new ja(o,r,n,t)}this.needsUpload=!1,this._featureMap=new _a,this._bufferOffset=0};function Va(t,e){return{\\\"text-opacity\\\":[\\\"opacity\\\"],\\\"icon-opacity\\\":[\\\"opacity\\\"],\\\"text-color\\\":[\\\"fill_color\\\"],\\\"icon-color\\\":[\\\"fill_color\\\"],\\\"text-halo-color\\\":[\\\"halo_color\\\"],\\\"icon-halo-color\\\":[\\\"halo_color\\\"],\\\"text-halo-blur\\\":[\\\"halo_blur\\\"],\\\"icon-halo-blur\\\":[\\\"halo_blur\\\"],\\\"text-halo-width\\\":[\\\"halo_width\\\"],\\\"icon-halo-width\\\":[\\\"halo_width\\\"],\\\"line-gap-width\\\":[\\\"gapwidth\\\"],\\\"line-pattern\\\":[\\\"pattern_to\\\",\\\"pattern_from\\\",\\\"pixel_ratio_to\\\",\\\"pixel_ratio_from\\\"],\\\"fill-pattern\\\":[\\\"pattern_to\\\",\\\"pattern_from\\\",\\\"pixel_ratio_to\\\",\\\"pixel_ratio_from\\\"],\\\"fill-extrusion-pattern\\\":[\\\"pattern_to\\\",\\\"pattern_from\\\",\\\"pixel_ratio_to\\\",\\\"pixel_ratio_from\\\"]}[t]||[t.replace(e+\\\"-\\\",\\\"\\\").replace(/-/g,\\\"_\\\")]}function qa(t,e,r){var n={color:{source:ta,composite:ea},number:{source:Zi,composite:ta}},i=function(t){return{\\\"line-pattern\\\":{source:Bi,composite:Bi},\\\"fill-pattern\\\":{source:Bi,composite:Bi},\\\"fill-extrusion-pattern\\\":{source:Bi,composite:Bi}}[t]}(t);return i&&i[r]||n[e][r]}Ua.prototype.populatePaintArrays=function(t,e,r,n,i,a){for(var o in this.programConfigurations)this.programConfigurations[o].populatePaintArrays(t,e,n,i,a);void 0!==e.id&&this._featureMap.add(e.id,r,this._bufferOffset,t),this._bufferOffset=t,this.needsUpload=!0},Ua.prototype.updatePaintArrays=function(t,e,r,n){for(var i=0,a=r;i<a.length;i+=1){var o=a[i];this.needsUpload=this.programConfigurations[o.id].updatePaintArrays(t,this._featureMap,e,o,n)||this.needsUpload}},Ua.prototype.get=function(t){return this.programConfigurations[t]},Ua.prototype.upload=function(t){if(this.needsUpload){for(var e in this.programConfigurations)this.programConfigurations[e].upload(t);this.needsUpload=!1}},Ua.prototype.destroy=function(){for(var t in this.programConfigurations)this.programConfigurations[t].destroy()},Nn(\\\"ConstantBinder\\\",Da),Nn(\\\"CrossFadedConstantBinder\\\",Ra),Nn(\\\"SourceExpressionBinder\\\",Fa),Nn(\\\"CrossFadedCompositeBinder\\\",Na),Nn(\\\"CompositeExpressionBinder\\\",Ba),Nn(\\\"ProgramConfiguration\\\",ja,{omit:[\\\"_buffers\\\"]}),Nn(\\\"ProgramConfigurationSet\\\",Ua);var Ha,Ga=(Ha=15,{min:-1*Math.pow(2,Ha-1),max:Math.pow(2,Ha-1)-1});function Ya(t){for(var e=8192/t.extent,r=t.loadGeometry(),n=0;n<r.length;n++)for(var i=r[n],a=0;a<i.length;a++){var o=i[a];o.x=Math.round(o.x*e),o.y=Math.round(o.y*e),(o.x<Ga.min||o.x>Ga.max||o.y<Ga.min||o.y>Ga.max)&&(_(\\\"Geometry exceeds allowed extent, reduce your vector tile buffer size\\\"),o.x=l(o.x,Ga.min,Ga.max),o.y=l(o.y,Ga.min,Ga.max))}return r}function Wa(t,e,r,n,i){t.emplaceBack(2*e+(n+1)/2,2*r+(i+1)/2)}var Xa=function(t){this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return 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e,r=t.readVarint()+t.pos,n=1,a=0,o=0,s=0,l=[];t.pos<r;){if(a<=0){var c=t.readVarint();n=7&c,a=c>>3}if(a--,1===n||2===n)o+=t.readSVarint(),s+=t.readSVarint(),1===n&&(e&&l.push(e),e=[]),e.push(new i(o,s));else{if(7!==n)throw new Error(\\\"unknown command \\\"+n);e&&e.push(e[0].clone())}}return e&&l.push(e),l},ws.prototype.bbox=function(){var t=this._pbf;t.pos=this._geometry;for(var e=t.readVarint()+t.pos,r=1,n=0,i=0,a=0,o=1/0,s=-1/0,l=1/0,c=-1/0;t.pos<e;){if(n<=0){var u=t.readVarint();r=7&u,n=u>>3}if(n--,1===r||2===r)(i+=t.readSVarint())<o&&(o=i),i>s&&(s=i),(a+=t.readSVarint())<l&&(l=a),a>c&&(c=a);else if(7!==r)throw new Error(\\\"unknown command \\\"+r)}return[o,l,s,c]},ws.prototype.toGeoJSON=function(t,e,r){var n,i,a=this.extent*Math.pow(2,r),o=this.extent*t,s=this.extent*e,l=this.loadGeometry(),c=ws.types[this.type];function u(t){for(var e=0;e<t.length;e++){var r=t[e],n=180-360*(r.y+s)/a;t[e]=[360*(r.x+o)/a-180,360/Math.PI*Math.atan(Math.exp(n*Math.PI/180))-90]}}switch(this.type){case 1:var f=[];for(n=0;n<l.length;n++)f[n]=l[n][0];u(l=f);break;case 2:for(n=0;n<l.length;n++)u(l[n]);break;case 3:for(l=function(t){var e=t.length;if(e<=1)return[t];for(var r,n,i=[],a=0;a<e;a++){var o=ks(t[a]);0!==o&&(void 0===n&&(n=o<0),n===o<0?(r&&i.push(r),r=[t[a]]):r.push(t[a]))}r&&i.push(r);return i}(l),n=0;n<l.length;n++)for(i=0;i<l[n].length;i++)u(l[n][i])}1===l.length?l=l[0]:c=\\\"Multi\\\"+c;var h={type:\\\"Feature\\\",geometry:{type:c,coordinates:l},properties:this.properties};return\\\"id\\\"in this&&(h.id=this.id),h};var Ms=As;function As(t,e){this.version=1,this.name=null,this.extent=4096,this.length=0,this._pbf=t,this._keys=[],this._values=[],this._features=[],t.readFields(Ss,this,e),this.length=this._features.length}function Ss(t,e,r){15===t?e.version=r.readVarint():1===t?e.name=r.readString():5===t?e.extent=r.readVarint():2===t?e._features.push(r.pos):3===t?e._keys.push(r.readString()):4===t&&e._values.push(function(t){var e=null,r=t.readVarint()+t.pos;for(;t.pos<r;){var n=t.readVarint()>>3;e=1===n?t.readString():2===n?t.readFloat():3===n?t.readDouble():4===n?t.readVarint64():5===n?t.readVarint():6===n?t.readSVarint():7===n?t.readBoolean():null}return e}(r))}function Es(t,e,r){if(3===t){var n=new Ms(r,r.readVarint()+r.pos);n.length&&(e[n.name]=n)}}As.prototype.feature=function(t){if(t<0||t>=this._features.length)throw new Error(\\\"feature index out of bounds\\\");this._pbf.pos=this._features[t];var e=this._pbf.readVarint()+this._pbf.pos;return new _s(this._pbf,e,this.extent,this._keys,this._values)};var Ls={VectorTile:function(t,e){this.layers=t.readFields(Es,{},e)},VectorTileFeature:_s,VectorTileLayer:Ms},Cs=Ls.VectorTileFeature.types,Ps=Math.pow(2,13);function Is(t,e,r,n,i,a,o,s){t.emplaceBack(e,r,2*Math.floor(n*Ps)+o,i*Ps*2,a*Ps*2,Math.round(s))}var Os=function(t){this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.hasPattern=!1,this.layoutVertexArray=new Ri,this.indexArray=new Yi,this.programConfigurations=new Ua(bs,t.layers,t.zoom),this.segments=new pa,this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};function zs(t,e){return t.x===e.x&&(t.x<0||t.x>8192)||t.y===e.y&&(t.y<0||t.y>8192)}function Ds(t){return t.every((function(t){return t.x<0}))||t.every((function(t){return t.x>8192}))||t.every((function(t){return t.y<0}))||t.every((function(t){return t.y>8192}))}Os.prototype.populate=function(t,e,r){this.features=[],this.hasPattern=ds(\\\"fill-extrusion\\\",this.layers,e);for(var n=0,i=t;n<i.length;n+=1){var a=i[n],o=a.feature,s=a.id,l=a.index,c=a.sourceLayerIndex,u=this.layers[0]._featureFilter.needGeometry,f={type:o.type,id:s,properties:o.properties,geometry:u?Ya(o):[]};if(this.layers[0]._featureFilter.filter(new pi(this.zoom),f,r)){var h={id:s,sourceLayerIndex:c,index:l,geometry:u?f.geometry:Ya(o),properties:o.properties,type:o.type,patterns:{}};void 0!==o.id&&(h.id=o.id),this.hasPattern?this.features.push(ms(\\\"fill-extrusion\\\",this.layers,h,this.zoom,e)):this.addFeature(h,h.geometry,l,r,{}),e.featureIndex.insert(o,h.geometry,l,c,this.index,!0)}}},Os.prototype.addFeatures=function(t,e,r){for(var n=0,i=this.features;n<i.length;n+=1){var a=i[n],o=a.geometry;this.addFeature(a,o,a.index,e,r)}},Os.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},Os.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},Os.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},Os.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,bs),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},Os.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},Os.prototype.addFeature=function(t,e,r,n,i){for(var a=0,o=hs(e,500);a<o.length;a+=1){for(var s=o[a],l=0,c=0,u=s;c<u.length;c+=1){l+=u[c].length}for(var f=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray),h=0,p=s;h<p.length;h+=1){var d=p[h];if(0!==d.length&&!Ds(d))for(var m=0,g=0;g<d.length;g++){var v=d[g];if(g>=1){var y=d[g-1];if(!zs(v,y)){f.vertexLength+4>pa.MAX_VERTEX_ARRAY_LENGTH&&(f=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray));var x=v.sub(y)._perp()._unit(),b=y.dist(v);m+b>32768&&(m=0),Is(this.layoutVertexArray,v.x,v.y,x.x,x.y,0,0,m),Is(this.layoutVertexArray,v.x,v.y,x.x,x.y,0,1,m),m+=b,Is(this.layoutVertexArray,y.x,y.y,x.x,x.y,0,0,m),Is(this.layoutVertexArray,y.x,y.y,x.x,x.y,0,1,m);var _=f.vertexLength;this.indexArray.emplaceBack(_,_+2,_+1),this.indexArray.emplaceBack(_+1,_+2,_+3),f.vertexLength+=4,f.primitiveLength+=2}}}}if(f.vertexLength+l>pa.MAX_VERTEX_ARRAY_LENGTH&&(f=this.segments.prepareSegment(l,this.layoutVertexArray,this.indexArray)),\\\"Polygon\\\"===Cs[t.type]){for(var w=[],T=[],k=f.vertexLength,M=0,A=s;M<A.length;M+=1){var S=A[M];if(0!==S.length){S!==s[0]&&T.push(w.length/2);for(var E=0;E<S.length;E++){var L=S[E];Is(this.layoutVertexArray,L.x,L.y,0,0,1,1,0),w.push(L.x),w.push(L.y)}}}for(var C=Do(w,T),P=0;P<C.length;P+=3)this.indexArray.emplaceBack(k+C[P],k+C[P+2],k+C[P+1]);f.primitiveLength+=C.length/3,f.vertexLength+=l}}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,i,n)},Nn(\\\"FillExtrusionBucket\\\",Os,{omit:[\\\"layers\\\",\\\"features\\\"]});var Rs={paint:new Si({\\\"fill-extrusion-opacity\\\":new wi(Lt[\\\"paint_fill-extrusion\\\"][\\\"fill-extrusion-opacity\\\"]),\\\"fill-extrusion-color\\\":new Ti(Lt[\\\"paint_fill-extrusion\\\"][\\\"fill-extrusion-color\\\"]),\\\"fill-extrusion-translate\\\":new wi(Lt[\\\"paint_fill-extrusion\\\"][\\\"fill-extrusion-translate\\\"]),\\\"fill-extrusion-translate-anchor\\\":new wi(Lt[\\\"paint_fill-extrusion\\\"][\\\"fill-extrusion-translate-anchor\\\"]),\\\"fill-extrusion-pattern\\\":new ki(Lt[\\\"paint_fill-extrusion\\\"][\\\"fill-extrusion-pattern\\\"]),\\\"fill-extrusion-height\\\":new Ti(Lt[\\\"paint_fill-extrusion\\\"][\\\"fill-extrusion-height\\\"]),\\\"fill-extrusion-base\\\":new Ti(Lt[\\\"paint_fill-extrusion\\\"][\\\"fill-extrusion-base\\\"]),\\\"fill-extrusion-vertical-gradient\\\":new wi(Lt[\\\"paint_fill-extrusion\\\"][\\\"fill-extrusion-vertical-gradient\\\"])})},Fs=function(t){function e(e){t.call(this,e,Rs)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.createBucket=function(t){return new Os(t)},e.prototype.queryRadius=function(){return so(this.paint.get(\\\"fill-extrusion-translate\\\"))},e.prototype.is3D=function(){return!0},e.prototype.queryIntersectsFeature=function(t,e,r,n,a,o,s,l){var c=lo(t,this.paint.get(\\\"fill-extrusion-translate\\\"),this.paint.get(\\\"fill-extrusion-translate-anchor\\\"),o.angle,s),u=this.paint.get(\\\"fill-extrusion-height\\\").evaluate(e,r),f=this.paint.get(\\\"fill-extrusion-base\\\").evaluate(e,r),h=function(t,e,r,n){for(var a=[],o=0,s=t;o<s.length;o+=1){var l=s[o],c=[l.x,l.y,n,1];xo(c,c,e),a.push(new i(c[0]/c[3],c[1]/c[3]))}return a}(c,l,0,0),p=function(t,e,r,n){for(var a=[],o=[],s=n[8]*e,l=n[9]*e,c=n[10]*e,u=n[11]*e,f=n[8]*r,h=n[9]*r,p=n[10]*r,d=n[11]*r,m=0,g=t;m<g.length;m+=1){for(var v=g[m],y=[],x=[],b=0,_=v;b<_.length;b+=1){var w=_[b],T=w.x,k=w.y,M=n[0]*T+n[4]*k+n[12],A=n[1]*T+n[5]*k+n[13],S=n[2]*T+n[6]*k+n[14],E=n[3]*T+n[7]*k+n[15],L=S+c,C=E+u,P=M+f,I=A+h,O=S+p,z=E+d,D=new i((M+s)/C,(A+l)/C);D.z=L/C,y.push(D);var R=new i(P/z,I/z);R.z=O/z,x.push(R)}a.push(y),o.push(x)}return[a,o]}(n,f,u,l);return function(t,e,r){var n=1/0;Ka(r,e)&&(n=Ns(r,e[0]));for(var i=0;i<e.length;i++)for(var a=e[i],o=t[i],s=0;s<a.length-1;s++){var l=a[s],c=a[s+1],u=o[s],f=o[s+1],h=[l,c,f,u,l];Za(r,h)&&(n=Math.min(n,Ns(r,h)))}return n!==1/0&&n}(p[0],p[1],h)},e}(Ei);function Bs(t,e){return t.x*e.x+t.y*e.y}function Ns(t,e){if(1===t.length){for(var r,n=0,i=e[n++];!r||i.equals(r);)if(!(r=e[n++]))return 1/0;for(;n<e.length;n++){var a=e[n],o=t[0],s=r.sub(i),l=a.sub(i),c=o.sub(i),u=Bs(s,s),f=Bs(s,l),h=Bs(l,l),p=Bs(c,s),d=Bs(c,l),m=u*h-f*f,g=(h*p-f*d)/m,v=(u*d-f*p)/m,y=1-g-v,x=i.z*y+r.z*g+a.z*v;if(isFinite(x))return x}return 1/0}for(var b=1/0,_=0,w=e;_<w.length;_+=1){var T=w[_];b=Math.min(b,T.z)}return b}var js=Ii([{name:\\\"a_pos_normal\\\",components:2,type:\\\"Int16\\\"},{name:\\\"a_data\\\",components:4,type:\\\"Uint8\\\"}],4).members,Us=Ls.VectorTileFeature.types,Vs=Math.cos(Math.PI/180*37.5),qs=Math.pow(2,14)/.5,Hs=function(t){this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.hasPattern=!1,this.patternFeatures=[],this.layoutVertexArray=new Fi,this.indexArray=new Yi,this.programConfigurations=new Ua(js,t.layers,t.zoom),this.segments=new pa,this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};Hs.prototype.populate=function(t,e,r){this.hasPattern=ds(\\\"line\\\",this.layers,e);for(var n=this.layers[0].layout.get(\\\"line-sort-key\\\"),i=[],a=0,o=t;a<o.length;a+=1){var s=o[a],l=s.feature,c=s.id,u=s.index,f=s.sourceLayerIndex,h=this.layers[0]._featureFilter.needGeometry,p={type:l.type,id:c,properties:l.properties,geometry:h?Ya(l):[]};if(this.layers[0]._featureFilter.filter(new pi(this.zoom),p,r)){h||(p.geometry=Ya(l));var d=n?n.evaluate(p,{},r):void 0,m={id:c,properties:l.properties,type:l.type,sourceLayerIndex:f,index:u,geometry:p.geometry,patterns:{},sortKey:d};i.push(m)}}n&&i.sort((function(t,e){return t.sortKey-e.sortKey}));for(var g=0,v=i;g<v.length;g+=1){var y=v[g],x=y,b=x.geometry,_=x.index,w=x.sourceLayerIndex;if(this.hasPattern){var T=ms(\\\"line\\\",this.layers,y,this.zoom,e);this.patternFeatures.push(T)}else this.addFeature(y,b,_,r,{});var k=t[_].feature;e.featureIndex.insert(k,b,_,w,this.index)}},Hs.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},Hs.prototype.addFeatures=function(t,e,r){for(var n=0,i=this.patternFeatures;n<i.length;n+=1){var a=i[n];this.addFeature(a,a.geometry,a.index,e,r)}},Hs.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},Hs.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},Hs.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,js),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},Hs.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},Hs.prototype.addFeature=function(t,e,r,n,i){for(var a=this.layers[0].layout,o=a.get(\\\"line-join\\\").evaluate(t,{}),s=a.get(\\\"line-cap\\\"),l=a.get(\\\"line-miter-limit\\\"),c=a.get(\\\"line-round-limit\\\"),u=0,f=e;u<f.length;u+=1){var h=f[u];this.addLine(h,t,o,s,l,c)}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,i,n)},Hs.prototype.addLine=function(t,e,r,n,i,a){if(this.distance=0,this.scaledDistance=0,this.totalDistance=0,e.properties&&e.properties.hasOwnProperty(\\\"mapbox_clip_start\\\")&&e.properties.hasOwnProperty(\\\"mapbox_clip_end\\\")){this.clipStart=+e.properties.mapbox_clip_start,this.clipEnd=+e.properties.mapbox_clip_end;for(var o=0;o<t.length-1;o++)this.totalDistance+=t[o].dist(t[o+1]);this.updateScaledDistance()}for(var s=\\\"Polygon\\\"===Us[e.type],l=t.length;l>=2&&t[l-1].equals(t[l-2]);)l--;for(var c=0;c<l-1&&t[c].equals(t[c+1]);)c++;if(!(l<(s?3:2))){\\\"bevel\\\"===r&&(i=1.05);var u,f=this.overscaling<=16?122880/(512*this.overscaling):0,h=this.segments.prepareSegment(10*l,this.layoutVertexArray,this.indexArray),p=void 0,d=void 0,m=void 0,g=void 0;this.e1=this.e2=-1,s&&(u=t[l-2],g=t[c].sub(u)._unit()._perp());for(var v=c;v<l;v++)if(!(d=v===l-1?s?t[c+1]:void 0:t[v+1])||!t[v].equals(d)){g&&(m=g),u&&(p=u),u=t[v],g=d?d.sub(u)._unit()._perp():m;var y=(m=m||g).add(g);0===y.x&&0===y.y||y._unit();var x=m.x*g.x+m.y*g.y,b=y.x*g.x+y.y*g.y,_=0!==b?1/b:1/0,w=2*Math.sqrt(2-2*b),T=b<Vs&&p&&d,k=m.x*g.y-m.y*g.x>0;if(T&&v>c){var M=u.dist(p);if(M>2*f){var A=u.sub(u.sub(p)._mult(f/M)._round());this.updateDistance(p,A),this.addCurrentVertex(A,m,0,0,h),p=A}}var S=p&&d,E=S?r:s?\\\"butt\\\":n;if(S&&\\\"round\\\"===E&&(_<a?E=\\\"miter\\\":_<=2&&(E=\\\"fakeround\\\")),\\\"miter\\\"===E&&_>i&&(E=\\\"bevel\\\"),\\\"bevel\\\"===E&&(_>2&&(E=\\\"flipbevel\\\"),_<i&&(E=\\\"miter\\\")),p&&this.updateDistance(p,u),\\\"miter\\\"===E)y._mult(_),this.addCurrentVertex(u,y,0,0,h);else if(\\\"flipbevel\\\"===E){if(_>100)y=g.mult(-1);else{var L=_*m.add(g).mag()/m.sub(g).mag();y._perp()._mult(L*(k?-1:1))}this.addCurrentVertex(u,y,0,0,h),this.addCurrentVertex(u,y.mult(-1),0,0,h)}else if(\\\"bevel\\\"===E||\\\"fakeround\\\"===E){var C=-Math.sqrt(_*_-1),P=k?C:0,I=k?0:C;if(p&&this.addCurrentVertex(u,m,P,I,h),\\\"fakeround\\\"===E)for(var O=Math.round(180*w/Math.PI/20),z=1;z<O;z++){var D=z/O;if(.5!==D){var R=D-.5;D+=D*R*(D-1)*((1.0904+x*(x*(3.55645-1.43519*x)-3.2452))*R*R+(.848013+x*(.215638*x-1.06021)))}var F=g.sub(m)._mult(D)._add(m)._unit()._mult(k?-1:1);this.addHalfVertex(u,F.x,F.y,!1,k,0,h)}d&&this.addCurrentVertex(u,g,-P,-I,h)}else if(\\\"butt\\\"===E)this.addCurrentVertex(u,y,0,0,h);else if(\\\"square\\\"===E){var B=p?1:-1;this.addCurrentVertex(u,y,B,B,h)}else\\\"round\\\"===E&&(p&&(this.addCurrentVertex(u,m,0,0,h),this.addCurrentVertex(u,m,1,1,h,!0)),d&&(this.addCurrentVertex(u,g,-1,-1,h,!0),this.addCurrentVertex(u,g,0,0,h)));if(T&&v<l-1){var N=u.dist(d);if(N>2*f){var j=u.add(d.sub(u)._mult(f/N)._round());this.updateDistance(u,j),this.addCurrentVertex(j,g,0,0,h),u=j}}}}},Hs.prototype.addCurrentVertex=function(t,e,r,n,i,a){void 0===a&&(a=!1);var o=e.x+e.y*r,s=e.y-e.x*r,l=-e.x+e.y*n,c=-e.y-e.x*n;this.addHalfVertex(t,o,s,a,!1,r,i),this.addHalfVertex(t,l,c,a,!0,-n,i),this.distance>qs/2&&0===this.totalDistance&&(this.distance=0,this.addCurrentVertex(t,e,r,n,i,a))},Hs.prototype.addHalfVertex=function(t,e,r,n,i,a,o){var s=t.x,l=t.y,c=.5*this.scaledDistance;this.layoutVertexArray.emplaceBack((s<<1)+(n?1:0),(l<<1)+(i?1:0),Math.round(63*e)+128,Math.round(63*r)+128,1+(0===a?0:a<0?-1:1)|(63&c)<<2,c>>6);var u=o.vertexLength++;this.e1>=0&&this.e2>=0&&(this.indexArray.emplaceBack(this.e1,this.e2,u),o.primitiveLength++),i?this.e2=u:this.e1=u},Hs.prototype.updateScaledDistance=function(){this.scaledDistance=this.totalDistance>0?(this.clipStart+(this.clipEnd-this.clipStart)*this.distance/this.totalDistance)*(qs-1):this.distance},Hs.prototype.updateDistance=function(t,e){this.distance+=t.dist(e),this.updateScaledDistance()},Nn(\\\"LineBucket\\\",Hs,{omit:[\\\"layers\\\",\\\"patternFeatures\\\"]});var Gs=new Si({\\\"line-cap\\\":new wi(Lt.layout_line[\\\"line-cap\\\"]),\\\"line-join\\\":new Ti(Lt.layout_line[\\\"line-join\\\"]),\\\"line-miter-limit\\\":new wi(Lt.layout_line[\\\"line-miter-limit\\\"]),\\\"line-round-limit\\\":new wi(Lt.layout_line[\\\"line-round-limit\\\"]),\\\"line-sort-key\\\":new Ti(Lt.layout_line[\\\"line-sort-key\\\"])}),Ys={paint:new Si({\\\"line-opacity\\\":new Ti(Lt.paint_line[\\\"line-opacity\\\"]),\\\"line-color\\\":new Ti(Lt.paint_line[\\\"line-color\\\"]),\\\"line-translate\\\":new wi(Lt.paint_line[\\\"line-translate\\\"]),\\\"line-translate-anchor\\\":new wi(Lt.paint_line[\\\"line-translate-anchor\\\"]),\\\"line-width\\\":new Ti(Lt.paint_line[\\\"line-width\\\"]),\\\"line-gap-width\\\":new Ti(Lt.paint_line[\\\"line-gap-width\\\"]),\\\"line-offset\\\":new Ti(Lt.paint_line[\\\"line-offset\\\"]),\\\"line-blur\\\":new Ti(Lt.paint_line[\\\"line-blur\\\"]),\\\"line-dasharray\\\":new Mi(Lt.paint_line[\\\"line-dasharray\\\"]),\\\"line-pattern\\\":new ki(Lt.paint_line[\\\"line-pattern\\\"]),\\\"line-gradient\\\":new Ai(Lt.paint_line[\\\"line-gradient\\\"])}),layout:Gs},Ws=new(function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.possiblyEvaluate=function(e,r){return r=new 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nl=function(t,e,r,n,i){var a,o,s=8*i-n-1,l=(1<<s)-1,c=l>>1,u=-7,f=r?i-1:0,h=r?-1:1,p=t[e+f];for(f+=h,a=p&(1<<-u)-1,p>>=-u,u+=s;u>0;a=256*a+t[e+f],f+=h,u-=8);for(o=a&(1<<-u)-1,a>>=-u,u+=n;u>0;o=256*o+t[e+f],f+=h,u-=8);if(0===a)a=1-c;else{if(a===l)return o?NaN:1/0*(p?-1:1);o+=Math.pow(2,n),a-=c}return(p?-1:1)*o*Math.pow(2,a-n)},il=function(t,e,r,n,i,a){var o,s,l,c=8*a-i-1,u=(1<<c)-1,f=u>>1,h=23===i?Math.pow(2,-24)-Math.pow(2,-77):0,p=n?0:a-1,d=n?1:-1,m=e<0||0===e&&1/e<0?1:0;for(e=Math.abs(e),isNaN(e)||e===1/0?(s=isNaN(e)?1:0,o=u):(o=Math.floor(Math.log(e)/Math.LN2),e*(l=Math.pow(2,-o))<1&&(o--,l*=2),(e+=o+f>=1?h/l:h*Math.pow(2,1-f))*l>=2&&(o++,l/=2),o+f>=u?(s=0,o=u):o+f>=1?(s=(e*l-1)*Math.pow(2,i),o+=f):(s=e*Math.pow(2,f-1)*Math.pow(2,i),o=0));i>=8;t[r+p]=255&s,p+=d,s/=256,i-=8);for(o=o<<i|s,c+=i;c>0;t[r+p]=255&o,p+=d,o/=256,c-=8);t[r+p-d]|=128*m},al=ol;function ol(t){this.buf=ArrayBuffer.isView&&ArrayBuffer.isView(t)?t:new 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Eo({width:o||1,height:s||1});for(var c in t){var u=t[c],f=r[c].paddedRect;Eo.copy(u.data,l,{x:0,y:0},{x:f.x+1,y:f.y+1},u.data)}for(var h in e){var p=e[h],d=n[h].paddedRect,m=d.x+1,g=d.y+1,v=p.data.width,y=p.data.height;Eo.copy(p.data,l,{x:0,y:0},{x:m,y:g},p.data),Eo.copy(p.data,l,{x:0,y:y-1},{x:m,y:g-1},{width:v,height:1}),Eo.copy(p.data,l,{x:0,y:0},{x:m,y:g+y},{width:v,height:1}),Eo.copy(p.data,l,{x:v-1,y:0},{x:m-1,y:g},{width:1,height:y}),Eo.copy(p.data,l,{x:0,y:0},{x:m+v,y:g},{width:1,height:y})}this.image=l,this.iconPositions=r,this.patternPositions=n};Ll.prototype.addImages=function(t,e,r){for(var n in t){var i=t[n],a={x:0,y:0,w:i.data.width+2,h:i.data.height+2};r.push(a),e[n]=new Sl(a,i),i.hasRenderCallback&&this.haveRenderCallbacks.push(n)}},Ll.prototype.patchUpdatedImages=function(t,e){for(var r in 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r=this.text.length,n=this.text.length-1;n>=0&&n>=t&&zl[this.text.charCodeAt(n)];n--)r--;this.text=this.text.substring(t,r),this.sectionIndex=this.sectionIndex.slice(t,r)},Il.prototype.substring=function(t,e){var r=new Il;return r.text=this.text.substring(t,e),r.sectionIndex=this.sectionIndex.slice(t,e),r.sections=this.sections,r},Il.prototype.toString=function(){return this.text},Il.prototype.getMaxScale=function(){var t=this;return this.sectionIndex.reduce((function(e,r){return Math.max(e,t.sections[r].scale)}),0)},Il.prototype.addTextSection=function(t,e){this.text+=t.text,this.sections.push(Pl.forText(t.scale,t.fontStack||e));for(var r=this.sections.length-1,n=0;n<t.text.length;++n)this.sectionIndex.push(r)},Il.prototype.addImageSection=function(t){var e=t.image?t.image.name:\\\"\\\";if(0!==e.length){var r=this.getNextImageSectionCharCode();r?(this.text+=String.fromCharCode(r),this.sections.push(Pl.forImage(e)),this.sectionIndex.push(this.sections.length-1)):_(\\\"Reached maximum 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h=ac(n.stretch-x,b,u,t.left),p=oc(n.fixed-T,k,n.stretch,m),d=ac(a.stretch-_,w,f,t.top),v=oc(a.fixed-M,A,a.stretch,g),y=ac(l.stretch-x,b,u,t.left),S=oc(l.fixed-T,k,l.stretch,m),E=ac(c.stretch-_,w,f,t.top),L=oc(c.fixed-M,A,c.stretch,g),C=new i(h,d),P=new i(y,d),I=new i(y,E),O=new i(h,E),z=new i(p/s,v/s),D=new i(S/s,L/s),R=e*Math.PI/180;if(R){var F=Math.sin(R),B=Math.cos(R),N=[B,-F,F,B];C._matMult(N),P._matMult(N),O._matMult(N),I._matMult(N)}var j=n.stretch+n.fixed,U=l.stretch+l.fixed,V=a.stretch+a.fixed,q=c.stretch+c.fixed;return{tl:C,tr:P,bl:O,br:I,tex:{x:o.paddedRect.x+1+j,y:o.paddedRect.y+1+V,w:U-j,h:q-V},writingMode:void 0,glyphOffset:[0,0],sectionIndex:0,pixelOffsetTL:z,pixelOffsetBR:D,minFontScaleX:k/s/u,minFontScaleY:A/s/f,isSDF:r}};if(n&&(o.stretchX||o.stretchY))for(var L=ic(h,v,m),C=ic(p,y,g),P=0;P<L.length-1;P++)for(var I=L[P],O=L[P+1],z=0;z<C.length-1;z++){var D=C[z],R=C[z+1];a.push(E(I,D,O,R))}else 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i(0,0);u.push({tl:z,tr:D,bl:R,br:F,tex:v,writingMode:e.writingMode,glyphOffset:S,sectionIndex:g.sectionIndex,isSDF:x,pixelOffsetTL:W,pixelOffsetBR:X,minFontScaleX:0,minFontScaleY:0})}}return u}(0,r,l,a,o,s,n,t.allowVerticalPlacement),v=t.textSizeData,y=null;\\\"source\\\"===v.kind?(y=[128*a.layout.get(\\\"text-size\\\").evaluate(s,{})])[0]>32640&&_(t.layerIds[0]+': Value for \\\"text-size\\\" is >= 255. Reduce your \\\"text-size\\\".'):\\\"composite\\\"===v.kind&&((y=[128*d.compositeTextSizes[0].evaluate(s,{},m),128*d.compositeTextSizes[1].evaluate(s,{},m)])[0]>32640||y[1]>32640)&&_(t.layerIds[0]+': Value for \\\"text-size\\\" is >= 255. Reduce your \\\"text-size\\\".'),t.addSymbols(t.text,g,y,l,o,s,u,e,c.lineStartIndex,c.lineLength,p,m);for(var x=0,b=f;x<b.length;x+=1){h[b[x]]=t.text.placedSymbolArray.length-1}return 4*g.length}function vc(t){for(var e in t)return t[e];return null}function yc(t,e,r,n){var i=t.compareText;if(e in i){for(var a=i[e],o=a.length-1;o>=0;o--)if(n.dist(a[o])<r)return!0}else i[e]=[];return i[e].push(n),!1}var xc=Ls.VectorTileFeature.types,bc=[{name:\\\"a_fade_opacity\\\",components:1,type:\\\"Uint8\\\",offset:0}];function _c(t,e,r,n,i,a,o,s,l,c,u,f,h){var p=s?Math.min(32640,Math.round(s[0])):0,d=s?Math.min(32640,Math.round(s[1])):0;t.emplaceBack(e,r,Math.round(32*n),Math.round(32*i),a,o,(p<<1)+(l?1:0),d,16*c,16*u,256*f,256*h)}function wc(t,e,r){t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r)}function Tc(t){for(var e=0,r=t.sections;e<r.length;e+=1){if($n(r[e].text))return!0}return!1}var kc=function(t){this.layoutVertexArray=new Ni,this.indexArray=new Yi,this.programConfigurations=t,this.segments=new pa,this.dynamicLayoutVertexArray=new ji,this.opacityVertexArray=new Ui,this.placedSymbolArray=new aa};kc.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length&&0===this.indexArray.length&&0===this.dynamicLayoutVertexArray.length&&0===this.opacityVertexArray.length},kc.prototype.upload=function(t,e,r,n){this.isEmpty()||(r&&(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,Js.members),this.indexBuffer=t.createIndexBuffer(this.indexArray,e),this.dynamicLayoutVertexBuffer=t.createVertexBuffer(this.dynamicLayoutVertexArray,Ks.members,!0),this.opacityVertexBuffer=t.createVertexBuffer(this.opacityVertexArray,bc,!0),this.opacityVertexBuffer.itemSize=1),(r||n)&&this.programConfigurations.upload(t))},kc.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy(),this.dynamicLayoutVertexBuffer.destroy(),this.opacityVertexBuffer.destroy())},Nn(\\\"SymbolBuffers\\\",kc);var Mc=function(t,e,r){this.layoutVertexArray=new t,this.layoutAttributes=e,this.indexArray=new r,this.segments=new pa,this.collisionVertexArray=new Gi};Mc.prototype.upload=function(t){this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,this.layoutAttributes),this.indexBuffer=t.createIndexBuffer(this.indexArray),this.collisionVertexBuffer=t.createVertexBuffer(this.collisionVertexArray,Qs.members,!0)},Mc.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.segments.destroy(),this.collisionVertexBuffer.destroy())},Nn(\\\"CollisionBuffers\\\",Mc);var Ac=function(t){this.collisionBoxArray=t.collisionBoxArray,this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.pixelRatio=t.pixelRatio,this.sourceLayerIndex=t.sourceLayerIndex,this.hasPattern=!1,this.hasRTLText=!1,this.sortKeyRanges=[],this.collisionCircleArray=[],this.placementInvProjMatrix=ho([]),this.placementViewportMatrix=ho([]);var e=this.layers[0]._unevaluatedLayout._values;this.textSizeData=Gl(this.zoom,e[\\\"text-size\\\"]),this.iconSizeData=Gl(this.zoom,e[\\\"icon-size\\\"]);var r=this.layers[0].layout,n=r.get(\\\"symbol-sort-key\\\"),i=r.get(\\\"symbol-z-order\\\");this.sortFeaturesByKey=\\\"viewport-y\\\"!==i&&void 0!==n.constantOr(1);var a=\\\"viewport-y\\\"===i||\\\"auto\\\"===i&&!this.sortFeaturesByKey;this.sortFeaturesByY=a&&(r.get(\\\"text-allow-overlap\\\")||r.get(\\\"icon-allow-overlap\\\")||r.get(\\\"text-ignore-placement\\\")||r.get(\\\"icon-ignore-placement\\\")),\\\"point\\\"===r.get(\\\"symbol-placement\\\")&&(this.writingModes=r.get(\\\"text-writing-mode\\\").map((function(t){return Cl[t]}))),this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id})),this.sourceID=t.sourceID};Ac.prototype.createArrays=function(){this.text=new kc(new Ua(Js.members,this.layers,this.zoom,(function(t){return/^text/.test(t)}))),this.icon=new kc(new Ua(Js.members,this.layers,this.zoom,(function(t){return/^icon/.test(t)}))),this.glyphOffsetArray=new la,this.lineVertexArray=new ca,this.symbolInstances=new sa},Ac.prototype.calculateGlyphDependencies=function(t,e,r,n,i){for(var a=0;a<t.length;a++)if(e[t.charCodeAt(a)]=!0,(r||n)&&i){var o=rl[t.charAt(a)];o&&(e[o.charCodeAt(0)]=!0)}},Ac.prototype.populate=function(t,e,r){var n=this.layers[0],i=n.layout,a=i.get(\\\"text-font\\\"),o=i.get(\\\"text-field\\\"),s=i.get(\\\"icon-image\\\"),l=(\\\"constant\\\"!==o.value.kind||o.value.value instanceof ne&&!o.value.value.isEmpty()||o.value.value.toString().length>0)&&(\\\"constant\\\"!==a.value.kind||a.value.value.length>0),c=\\\"constant\\\"!==s.value.kind||!!s.value.value||Object.keys(s.parameters).length>0,u=i.get(\\\"symbol-sort-key\\\");if(this.features=[],l||c){for(var f=e.iconDependencies,h=e.glyphDependencies,p=e.availableImages,d=new pi(this.zoom),m=0,g=t;m<g.length;m+=1){var v=g[m],y=v.feature,x=v.id,b=v.index,_=v.sourceLayerIndex,w=n._featureFilter.needGeometry,T={type:y.type,id:x,properties:y.properties,geometry:w?Ya(y):[]};if(n._featureFilter.filter(d,T,r)){w||(T.geometry=Ya(y));var k=void 0;if(l){var M=n.getValueAndResolveTokens(\\\"text-field\\\",T,r,p),A=ne.factory(M);Tc(A)&&(this.hasRTLText=!0),(!this.hasRTLText||\\\"unavailable\\\"===ui()||this.hasRTLText&&hi.isParsed())&&(k=el(A,n,T))}var S=void 0;if(c){var E=n.getValueAndResolveTokens(\\\"icon-image\\\",T,r,p);S=E instanceof ie?E:ie.fromString(E)}if(k||S){var L=this.sortFeaturesByKey?u.evaluate(T,{},r):void 0,C={id:x,text:k,icon:S,index:b,sourceLayerIndex:_,geometry:Ya(y),properties:y.properties,type:xc[y.type],sortKey:L};if(this.features.push(C),S&&(f[S.name]=!0),k){var P=a.evaluate(T,{},r).join(\\\",\\\"),I=\\\"map\\\"===i.get(\\\"text-rotation-alignment\\\")&&\\\"point\\\"!==i.get(\\\"symbol-placement\\\");this.allowVerticalPlacement=this.writingModes&&this.writingModes.indexOf(Cl.vertical)>=0;for(var O=0,z=k.sections;O<z.length;O+=1){var D=z[O];if(D.image)f[D.image.name]=!0;else{var R=Wn(k.toString()),F=D.fontStack||P,B=h[F]=h[F]||{};this.calculateGlyphDependencies(D.text,B,I,this.allowVerticalPlacement,R)}}}}}}\\\"line\\\"===i.get(\\\"symbol-placement\\\")&&(this.features=function(t){var e={},r={},n=[],i=0;function a(e){n.push(t[e]),i++}function o(t,e,i){var a=r[t];return delete r[t],r[e]=a,n[a].geometry[0].pop(),n[a].geometry[0]=n[a].geometry[0].concat(i[0]),a}function s(t,r,i){var a=e[r];return delete e[r],e[t]=a,n[a].geometry[0].shift(),n[a].geometry[0]=i[0].concat(n[a].geometry[0]),a}function l(t,e,r){var n=r?e[0][e[0].length-1]:e[0][0];return t+\\\":\\\"+n.x+\\\":\\\"+n.y}for(var c=0;c<t.length;c++){var u=t[c],f=u.geometry,h=u.text?u.text.toString():null;if(h){var p=l(h,f),d=l(h,f,!0);if(p in r&&d in e&&r[p]!==e[d]){var m=s(p,d,f),g=o(p,d,n[m].geometry);delete e[p],delete r[d],r[l(h,n[g].geometry,!0)]=g,n[m].geometry=null}else p in r?o(p,d,f):d in e?s(p,d,f):(a(c),e[p]=i-1,r[d]=i-1)}else a(c)}return n.filter((function(t){return t.geometry}))}(this.features)),this.sortFeaturesByKey&&this.features.sort((function(t,e){return t.sortKey-e.sortKey}))}},Ac.prototype.update=function(t,e,r){this.stateDependentLayers.length&&(this.text.programConfigurations.updatePaintArrays(t,e,this.layers,r),this.icon.programConfigurations.updatePaintArrays(t,e,this.layers,r))},Ac.prototype.isEmpty=function(){return 0===this.symbolInstances.length&&!this.hasRTLText},Ac.prototype.uploadPending=function(){return!this.uploaded||this.text.programConfigurations.needsUpload||this.icon.programConfigurations.needsUpload},Ac.prototype.upload=function(t){!this.uploaded&&this.hasDebugData()&&(this.textCollisionBox.upload(t),this.iconCollisionBox.upload(t)),this.text.upload(t,this.sortFeaturesByY,!this.uploaded,this.text.programConfigurations.needsUpload),this.icon.upload(t,this.sortFeaturesByY,!this.uploaded,this.icon.programConfigurations.needsUpload),this.uploaded=!0},Ac.prototype.destroyDebugData=function(){this.textCollisionBox.destroy(),this.iconCollisionBox.destroy()},Ac.prototype.destroy=function(){this.text.destroy(),this.icon.destroy(),this.hasDebugData()&&this.destroyDebugData()},Ac.prototype.addToLineVertexArray=function(t,e){var r=this.lineVertexArray.length;if(void 0!==t.segment){for(var n=t.dist(e[t.segment+1]),i=t.dist(e[t.segment]),a={},o=t.segment+1;o<e.length;o++)a[o]={x:e[o].x,y:e[o].y,tileUnitDistanceFromAnchor:n},o<e.length-1&&(n+=e[o+1].dist(e[o]));for(var s=t.segment||0;s>=0;s--)a[s]={x:e[s].x,y:e[s].y,tileUnitDistanceFromAnchor:i},s>0&&(i+=e[s-1].dist(e[s]));for(var l=0;l<e.length;l++){var c=a[l];this.lineVertexArray.emplaceBack(c.x,c.y,c.tileUnitDistanceFromAnchor)}}return{lineStartIndex:r,lineLength:this.lineVertexArray.length-r}},Ac.prototype.addSymbols=function(t,e,r,n,i,a,o,s,l,c,u,f){for(var h=t.indexArray,p=t.layoutVertexArray,d=t.segments.prepareSegment(4*e.length,p,h,a.sortKey),m=this.glyphOffsetArray.length,g=d.vertexLength,v=this.allowVerticalPlacement&&o===Cl.vertical?Math.PI/2:0,y=a.text&&a.text.sections,x=0;x<e.length;x++){var b=e[x],_=b.tl,w=b.tr,T=b.bl,k=b.br,M=b.tex,A=b.pixelOffsetTL,S=b.pixelOffsetBR,E=b.minFontScaleX,L=b.minFontScaleY,C=b.glyphOffset,P=b.isSDF,I=b.sectionIndex,O=d.vertexLength,z=C[1];_c(p,s.x,s.y,_.x,z+_.y,M.x,M.y,r,P,A.x,A.y,E,L),_c(p,s.x,s.y,w.x,z+w.y,M.x+M.w,M.y,r,P,S.x,A.y,E,L),_c(p,s.x,s.y,T.x,z+T.y,M.x,M.y+M.h,r,P,A.x,S.y,E,L),_c(p,s.x,s.y,k.x,z+k.y,M.x+M.w,M.y+M.h,r,P,S.x,S.y,E,L),wc(t.dynamicLayoutVertexArray,s,v),h.emplaceBack(O,O+1,O+2),h.emplaceBack(O+1,O+2,O+3),d.vertexLength+=4,d.primitiveLength+=2,this.glyphOffsetArray.emplaceBack(C[0]),x!==e.length-1&&I===e[x+1].sectionIndex||t.programConfigurations.populatePaintArrays(p.length,a,a.index,{},f,y&&y[I])}t.placedSymbolArray.emplaceBack(s.x,s.y,m,this.glyphOffsetArray.length-m,g,l,c,s.segment,r?r[0]:0,r?r[1]:0,n[0],n[1],o,0,!1,0,u)},Ac.prototype._addCollisionDebugVertex=function(t,e,r,n,i,a){return e.emplaceBack(0,0),t.emplaceBack(r.x,r.y,n,i,Math.round(a.x),Math.round(a.y))},Ac.prototype.addCollisionDebugVertices=function(t,e,r,n,a,o,s){var l=a.segments.prepareSegment(4,a.layoutVertexArray,a.indexArray),c=l.vertexLength,u=a.layoutVertexArray,f=a.collisionVertexArray,h=s.anchorX,p=s.anchorY;this._addCollisionDebugVertex(u,f,o,h,p,new i(t,e)),this._addCollisionDebugVertex(u,f,o,h,p,new i(r,e)),this._addCollisionDebugVertex(u,f,o,h,p,new i(r,n)),this._addCollisionDebugVertex(u,f,o,h,p,new i(t,n)),l.vertexLength+=4;var d=a.indexArray;d.emplaceBack(c,c+1),d.emplaceBack(c+1,c+2),d.emplaceBack(c+2,c+3),d.emplaceBack(c+3,c),l.primitiveLength+=4},Ac.prototype.addDebugCollisionBoxes=function(t,e,r,n){for(var i=t;i<e;i++){var a=this.collisionBoxArray.get(i),o=a.x1,s=a.y1,l=a.x2,c=a.y2;this.addCollisionDebugVertices(o,s,l,c,n?this.textCollisionBox:this.iconCollisionBox,a.anchorPoint,r)}},Ac.prototype.generateCollisionDebugBuffers=function(){this.hasDebugData()&&this.destroyDebugData(),this.textCollisionBox=new Mc(qi,$s.members,Qi),this.iconCollisionBox=new Mc(qi,$s.members,Qi);for(var t=0;t<this.symbolInstances.length;t++){var e=this.symbolInstances.get(t);this.addDebugCollisionBoxes(e.textBoxStartIndex,e.textBoxEndIndex,e,!0),this.addDebugCollisionBoxes(e.verticalTextBoxStartIndex,e.verticalTextBoxEndIndex,e,!0),this.addDebugCollisionBoxes(e.iconBoxStartIndex,e.iconBoxEndIndex,e,!1),this.addDebugCollisionBoxes(e.verticalIconBoxStartIndex,e.verticalIconBoxEndIndex,e,!1)}},Ac.prototype._deserializeCollisionBoxesForSymbol=function(t,e,r,n,i,a,o,s,l){for(var c={},u=e;u<r;u++){var f=t.get(u);c.textBox={x1:f.x1,y1:f.y1,x2:f.x2,y2:f.y2,anchorPointX:f.anchorPointX,anchorPointY:f.anchorPointY},c.textFeatureIndex=f.featureIndex;break}for(var h=n;h<i;h++){var p=t.get(h);c.verticalTextBox={x1:p.x1,y1:p.y1,x2:p.x2,y2:p.y2,anchorPointX:p.anchorPointX,anchorPointY:p.anchorPointY},c.verticalTextFeatureIndex=p.featureIndex;break}for(var d=a;d<o;d++){var m=t.get(d);c.iconBox={x1:m.x1,y1:m.y1,x2:m.x2,y2:m.y2,anchorPointX:m.anchorPointX,anchorPointY:m.anchorPointY},c.iconFeatureIndex=m.featureIndex;break}for(var g=s;g<l;g++){var v=t.get(g);c.verticalIconBox={x1:v.x1,y1:v.y1,x2:v.x2,y2:v.y2,anchorPointX:v.anchorPointX,anchorPointY:v.anchorPointY},c.verticalIconFeatureIndex=v.featureIndex;break}return c},Ac.prototype.deserializeCollisionBoxes=function(t){this.collisionArrays=[];for(var e=0;e<this.symbolInstances.length;e++){var r=this.symbolInstances.get(e);this.collisionArrays.push(this._deserializeCollisionBoxesForSymbol(t,r.textBoxStartIndex,r.textBoxEndIndex,r.verticalTextBoxStartIndex,r.verticalTextBoxEndIndex,r.iconBoxStartIndex,r.iconBoxEndIndex,r.verticalIconBoxStartIndex,r.verticalIconBoxEndIndex))}},Ac.prototype.hasTextData=function(){return this.text.segments.get().length>0},Ac.prototype.hasIconData=function(){return this.icon.segments.get().length>0},Ac.prototype.hasDebugData=function(){return this.textCollisionBox&&this.iconCollisionBox},Ac.prototype.hasTextCollisionBoxData=function(){return this.hasDebugData()&&this.textCollisionBox.segments.get().length>0},Ac.prototype.hasIconCollisionBoxData=function(){return this.hasDebugData()&&this.iconCollisionBox.segments.get().length>0},Ac.prototype.addIndicesForPlacedSymbol=function(t,e){for(var r=t.placedSymbolArray.get(e),n=r.vertexStartIndex+4*r.numGlyphs,i=r.vertexStartIndex;i<n;i+=4)t.indexArray.emplaceBack(i,i+1,i+2),t.indexArray.emplaceBack(i+1,i+2,i+3)},Ac.prototype.getSortedSymbolIndexes=function(t){if(this.sortedAngle===t&&void 0!==this.symbolInstanceIndexes)return this.symbolInstanceIndexes;for(var e=Math.sin(t),r=Math.cos(t),n=[],i=[],a=[],o=0;o<this.symbolInstances.length;++o){a.push(o);var s=this.symbolInstances.get(o);n.push(0|Math.round(e*s.anchorX+r*s.anchorY)),i.push(s.featureIndex)}return a.sort((function(t,e){return n[t]-n[e]||i[e]-i[t]})),a},Ac.prototype.addToSortKeyRanges=function(t,e){var r=this.sortKeyRanges[this.sortKeyRanges.length-1];r&&r.sortKey===e?r.symbolInstanceEnd=t+1:this.sortKeyRanges.push({sortKey:e,symbolInstanceStart:t,symbolInstanceEnd:t+1})},Ac.prototype.sortFeatures=function(t){var e=this;if(this.sortFeaturesByY&&this.sortedAngle!==t&&!(this.text.segments.get().length>1||this.icon.segments.get().length>1)){this.symbolInstanceIndexes=this.getSortedSymbolIndexes(t),this.sortedAngle=t,this.text.indexArray.clear(),this.icon.indexArray.clear(),this.featureSortOrder=[];for(var r=0,n=this.symbolInstanceIndexes;r<n.length;r+=1){var i=n[r],a=this.symbolInstances.get(i);this.featureSortOrder.push(a.featureIndex),[a.rightJustifiedTextSymbolIndex,a.centerJustifiedTextSymbolIndex,a.leftJustifiedTextSymbolIndex].forEach((function(t,r,n){t>=0&&n.indexOf(t)===r&&e.addIndicesForPlacedSymbol(e.text,t)})),a.verticalPlacedTextSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.text,a.verticalPlacedTextSymbolIndex),a.placedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,a.placedIconSymbolIndex),a.verticalPlacedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,a.verticalPlacedIconSymbolIndex)}this.text.indexBuffer&&this.text.indexBuffer.updateData(this.text.indexArray),this.icon.indexBuffer&&this.icon.indexBuffer.updateData(this.icon.indexArray)}},Nn(\\\"SymbolBucket\\\",Ac,{omit:[\\\"layers\\\",\\\"collisionBoxArray\\\",\\\"features\\\",\\\"compareText\\\"]}),Ac.MAX_GLYPHS=65535,Ac.addDynamicAttributes=wc;var Sc=new Si({\\\"symbol-placement\\\":new wi(Lt.layout_symbol[\\\"symbol-placement\\\"]),\\\"symbol-spacing\\\":new wi(Lt.layout_symbol[\\\"symbol-spacing\\\"]),\\\"symbol-avoid-edges\\\":new wi(Lt.layout_symbol[\\\"symbol-avoid-edges\\\"]),\\\"symbol-sort-key\\\":new Ti(Lt.layout_symbol[\\\"symbol-sort-key\\\"]),\\\"symbol-z-order\\\":new wi(Lt.layout_symbol[\\\"symbol-z-order\\\"]),\\\"icon-allow-overlap\\\":new wi(Lt.layout_symbol[\\\"icon-allow-overlap\\\"]),\\\"icon-ignore-placement\\\":new wi(Lt.layout_symbol[\\\"icon-ignore-placement\\\"]),\\\"icon-optional\\\":new wi(Lt.layout_symbol[\\\"icon-optional\\\"]),\\\"icon-rotation-alignment\\\":new wi(Lt.layout_symbol[\\\"icon-rotation-alignment\\\"]),\\\"icon-size\\\":new Ti(Lt.layout_symbol[\\\"icon-size\\\"]),\\\"icon-text-fit\\\":new wi(Lt.layout_symbol[\\\"icon-text-fit\\\"]),\\\"icon-text-fit-padding\\\":new wi(Lt.layout_symbol[\\\"icon-text-fit-padding\\\"]),\\\"icon-image\\\":new Ti(Lt.layout_symbol[\\\"icon-image\\\"]),\\\"icon-rotate\\\":new Ti(Lt.layout_symbol[\\\"icon-rotate\\\"]),\\\"icon-padding\\\":new wi(Lt.layout_symbol[\\\"icon-padding\\\"]),\\\"icon-keep-upright\\\":new wi(Lt.layout_symbol[\\\"icon-keep-upright\\\"]),\\\"icon-offset\\\":new Ti(Lt.layout_symbol[\\\"icon-offset\\\"]),\\\"icon-anchor\\\":new Ti(Lt.layout_symbol[\\\"icon-anchor\\\"]),\\\"icon-pitch-alignment\\\":new wi(Lt.layout_symbol[\\\"icon-pitch-alignment\\\"]),\\\"text-pitch-alignment\\\":new wi(Lt.layout_symbol[\\\"text-pitch-alignment\\\"]),\\\"text-rotation-alignment\\\":new wi(Lt.layout_symbol[\\\"text-rotation-alignment\\\"]),\\\"text-field\\\":new Ti(Lt.layout_symbol[\\\"text-field\\\"]),\\\"text-font\\\":new Ti(Lt.layout_symbol[\\\"text-font\\\"]),\\\"text-size\\\":new Ti(Lt.layout_symbol[\\\"text-size\\\"]),\\\"text-max-width\\\":new Ti(Lt.layout_symbol[\\\"text-max-width\\\"]),\\\"text-line-height\\\":new wi(Lt.layout_symbol[\\\"text-line-height\\\"]),\\\"text-letter-spacing\\\":new Ti(Lt.layout_symbol[\\\"text-letter-spacing\\\"]),\\\"text-justify\\\":new Ti(Lt.layout_symbol[\\\"text-justify\\\"]),\\\"text-radial-offset\\\":new Ti(Lt.layout_symbol[\\\"text-radial-offset\\\"]),\\\"text-variable-anchor\\\":new wi(Lt.layout_symbol[\\\"text-variable-anchor\\\"]),\\\"text-anchor\\\":new Ti(Lt.layout_symbol[\\\"text-anchor\\\"]),\\\"text-max-angle\\\":new wi(Lt.layout_symbol[\\\"text-max-angle\\\"]),\\\"text-writing-mode\\\":new wi(Lt.layout_symbol[\\\"text-writing-mode\\\"]),\\\"text-rotate\\\":new Ti(Lt.layout_symbol[\\\"text-rotate\\\"]),\\\"text-padding\\\":new wi(Lt.layout_symbol[\\\"text-padding\\\"]),\\\"text-keep-upright\\\":new wi(Lt.layout_symbol[\\\"text-keep-upright\\\"]),\\\"text-transform\\\":new Ti(Lt.layout_symbol[\\\"text-transform\\\"]),\\\"text-offset\\\":new Ti(Lt.layout_symbol[\\\"text-offset\\\"]),\\\"text-allow-overlap\\\":new wi(Lt.layout_symbol[\\\"text-allow-overlap\\\"]),\\\"text-ignore-placement\\\":new wi(Lt.layout_symbol[\\\"text-ignore-placement\\\"]),\\\"text-optional\\\":new wi(Lt.layout_symbol[\\\"text-optional\\\"])}),Ec={paint:new Si({\\\"icon-opacity\\\":new Ti(Lt.paint_symbol[\\\"icon-opacity\\\"]),\\\"icon-color\\\":new Ti(Lt.paint_symbol[\\\"icon-color\\\"]),\\\"icon-halo-color\\\":new Ti(Lt.paint_symbol[\\\"icon-halo-color\\\"]),\\\"icon-halo-width\\\":new Ti(Lt.paint_symbol[\\\"icon-halo-width\\\"]),\\\"icon-halo-blur\\\":new Ti(Lt.paint_symbol[\\\"icon-halo-blur\\\"]),\\\"icon-translate\\\":new wi(Lt.paint_symbol[\\\"icon-translate\\\"]),\\\"icon-translate-anchor\\\":new wi(Lt.paint_symbol[\\\"icon-translate-anchor\\\"]),\\\"text-opacity\\\":new Ti(Lt.paint_symbol[\\\"text-opacity\\\"]),\\\"text-color\\\":new Ti(Lt.paint_symbol[\\\"text-color\\\"],{runtimeType:Ut,getOverride:function(t){return t.textColor},hasOverride:function(t){return!!t.textColor}}),\\\"text-halo-color\\\":new Ti(Lt.paint_symbol[\\\"text-halo-color\\\"]),\\\"text-halo-width\\\":new Ti(Lt.paint_symbol[\\\"text-halo-width\\\"]),\\\"text-halo-blur\\\":new Ti(Lt.paint_symbol[\\\"text-halo-blur\\\"]),\\\"text-translate\\\":new wi(Lt.paint_symbol[\\\"text-translate\\\"]),\\\"text-translate-anchor\\\":new wi(Lt.paint_symbol[\\\"text-translate-anchor\\\"])}),layout:Sc},Lc=function(t){this.type=t.property.overrides?t.property.overrides.runtimeType:Ft,this.defaultValue=t};Lc.prototype.evaluate=function(t){if(t.formattedSection){var e=this.defaultValue.property.overrides;if(e&&e.hasOverride(t.formattedSection))return e.getOverride(t.formattedSection)}return t.feature&&t.featureState?this.defaultValue.evaluate(t.feature,t.featureState):this.defaultValue.property.specification.default},Lc.prototype.eachChild=function(t){this.defaultValue.isConstant()||t(this.defaultValue.value._styleExpression.expression)},Lc.prototype.outputDefined=function(){return!1},Lc.prototype.serialize=function(){return null},Nn(\\\"FormatSectionOverride\\\",Lc,{omit:[\\\"defaultValue\\\"]});var Cc=function(t){function e(e){t.call(this,e,Ec)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.recalculate=function(e,r){if(t.prototype.recalculate.call(this,e,r),\\\"auto\\\"===this.layout.get(\\\"icon-rotation-alignment\\\")&&(\\\"point\\\"!==this.layout.get(\\\"symbol-placement\\\")?this.layout._values[\\\"icon-rotation-alignment\\\"]=\\\"map\\\":this.layout._values[\\\"icon-rotation-alignment\\\"]=\\\"viewport\\\"),\\\"auto\\\"===this.layout.get(\\\"text-rotation-alignment\\\")&&(\\\"point\\\"!==this.layout.get(\\\"symbol-placement\\\")?this.layout._values[\\\"text-rotation-alignment\\\"]=\\\"map\\\":this.layout._values[\\\"text-rotation-alignment\\\"]=\\\"viewport\\\"),\\\"auto\\\"===this.layout.get(\\\"text-pitch-alignment\\\")&&(this.layout._values[\\\"text-pitch-alignment\\\"]=this.layout.get(\\\"text-rotation-alignment\\\")),\\\"auto\\\"===this.layout.get(\\\"icon-pitch-alignment\\\")&&(this.layout._values[\\\"icon-pitch-alignment\\\"]=this.layout.get(\\\"icon-rotation-alignment\\\")),\\\"point\\\"===this.layout.get(\\\"symbol-placement\\\")){var n=this.layout.get(\\\"text-writing-mode\\\");if(n){for(var i=[],a=0,o=n;a<o.length;a+=1){var s=o[a];i.indexOf(s)<0&&i.push(s)}this.layout._values[\\\"text-writing-mode\\\"]=i}else this.layout._values[\\\"text-writing-mode\\\"]=[\\\"horizontal\\\"]}this._setPaintOverrides()},e.prototype.getValueAndResolveTokens=function(t,e,r,n){var i=this.layout.get(t).evaluate(e,{},r,n),a=this._unevaluatedLayout._values[t];return a.isDataDriven()||Yr(a.value)||!i?i:function(t,e){return e.replace(/{([^{}]+)}/g,(function(e,r){return r in t?String(t[r]):\\\"\\\"}))}(e.properties,i)},e.prototype.createBucket=function(t){return new Ac(t)},e.prototype.queryRadius=function(){return 0},e.prototype.queryIntersectsFeature=function(){return!1},e.prototype._setPaintOverrides=function(){for(var t=0,r=Ec.paint.overridableProperties;t<r.length;t+=1){var n=r[t];if(e.hasPaintOverride(this.layout,n)){var i=this.paint.get(n),a=new Lc(i),o=new Gr(a,i.property.specification),s=null;s=\\\"constant\\\"===i.value.kind||\\\"source\\\"===i.value.kind?new Xr(\\\"source\\\",o):new Zr(\\\"composite\\\",o,i.value.zoomStops,i.value._interpolationType),this.paint._values[n]=new bi(i.property,s,i.parameters)}}},e.prototype._handleOverridablePaintPropertyUpdate=function(t,r,n){return!(!this.layout||r.isDataDriven()||n.isDataDriven())&&e.hasPaintOverride(this.layout,t)},e.hasPaintOverride=function(t,e){var r=t.get(\\\"text-field\\\"),n=Ec.paint.properties[e],i=!1,a=function(t){for(var e=0,r=t;e<r.length;e+=1){var a=r[e];if(n.overrides&&n.overrides.hasOverride(a))return void(i=!0)}};if(\\\"constant\\\"===r.value.kind&&r.value.value instanceof ne)a(r.value.value.sections);else if(\\\"source\\\"===r.value.kind){var o=function(t){if(!i)if(t instanceof ce&&se(t.value)===Gt){var e=t.value;a(e.sections)}else t instanceof pe?a(t.sections):t.eachChild(o)},s=r.value;s._styleExpression&&o(s._styleExpression.expression)}return i},e}(Ei),Pc={paint:new Si({\\\"background-color\\\":new wi(Lt.paint_background[\\\"background-color\\\"]),\\\"background-pattern\\\":new Mi(Lt.paint_background[\\\"background-pattern\\\"]),\\\"background-opacity\\\":new wi(Lt.paint_background[\\\"background-opacity\\\"])})},Ic=function(t){function e(e){t.call(this,e,Pc)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(Ei),Oc={paint:new Si({\\\"raster-opacity\\\":new wi(Lt.paint_raster[\\\"raster-opacity\\\"]),\\\"raster-hue-rotate\\\":new wi(Lt.paint_raster[\\\"raster-hue-rotate\\\"]),\\\"raster-brightness-min\\\":new wi(Lt.paint_raster[\\\"raster-brightness-min\\\"]),\\\"raster-brightness-max\\\":new wi(Lt.paint_raster[\\\"raster-brightness-max\\\"]),\\\"raster-saturation\\\":new wi(Lt.paint_raster[\\\"raster-saturation\\\"]),\\\"raster-contrast\\\":new wi(Lt.paint_raster[\\\"raster-contrast\\\"]),\\\"raster-resampling\\\":new wi(Lt.paint_raster[\\\"raster-resampling\\\"]),\\\"raster-fade-duration\\\":new wi(Lt.paint_raster[\\\"raster-fade-duration\\\"])})},zc=function(t){function e(e){t.call(this,e,Oc)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(Ei);var Dc=function(t){function e(e){t.call(this,e,{}),this.implementation=e}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.is3D=function(){return\\\"3d\\\"===this.implementation.renderingMode},e.prototype.hasOffscreenPass=function(){return void 0!==this.implementation.prerender},e.prototype.recalculate=function(){},e.prototype.updateTransitions=function(){},e.prototype.hasTransition=function(){},e.prototype.serialize=function(){},e.prototype.onAdd=function(t){this.implementation.onAdd&&this.implementation.onAdd(t,t.painter.context.gl)},e.prototype.onRemove=function(t){this.implementation.onRemove&&this.implementation.onRemove(t,t.painter.context.gl)},e}(Ei),Rc={circle:_o,heatmap:Po,hillshade:Oo,fill:xs,\\\"fill-extrusion\\\":Fs,line:Xs,symbol:Cc,background:Ic,raster:zc};var Fc=self.HTMLImageElement,Bc=self.HTMLCanvasElement,Nc=self.HTMLVideoElement,jc=self.ImageData,Uc=self.ImageBitmap,Vc=function(t,e,r,n){this.context=t,this.format=r,this.texture=t.gl.createTexture(),this.update(e,n)};Vc.prototype.update=function(t,e,r){var n=t.width,i=t.height,a=!(this.size&&this.size[0]===n&&this.size[1]===i||r),o=this.context,s=o.gl;if(this.useMipmap=Boolean(e&&e.useMipmap),s.bindTexture(s.TEXTURE_2D,this.texture),o.pixelStoreUnpackFlipY.set(!1),o.pixelStoreUnpack.set(1),o.pixelStoreUnpackPremultiplyAlpha.set(this.format===s.RGBA&&(!e||!1!==e.premultiply)),a)this.size=[n,i],t instanceof Fc||t instanceof Bc||t instanceof Nc||t instanceof jc||Uc&&t instanceof Uc?s.texImage2D(s.TEXTURE_2D,0,this.format,this.format,s.UNSIGNED_BYTE,t):s.texImage2D(s.TEXTURE_2D,0,this.format,n,i,0,this.format,s.UNSIGNED_BYTE,t.data);else{var l=r||{x:0,y:0},c=l.x,u=l.y;t instanceof Fc||t instanceof Bc||t instanceof Nc||t instanceof jc||Uc&&t instanceof Uc?s.texSubImage2D(s.TEXTURE_2D,0,c,u,s.RGBA,s.UNSIGNED_BYTE,t):s.texSubImage2D(s.TEXTURE_2D,0,c,u,n,i,s.RGBA,s.UNSIGNED_BYTE,t.data)}this.useMipmap&&this.isSizePowerOfTwo()&&s.generateMipmap(s.TEXTURE_2D)},Vc.prototype.bind=function(t,e,r){var n=this.context.gl;n.bindTexture(n.TEXTURE_2D,this.texture),r!==n.LINEAR_MIPMAP_NEAREST||this.isSizePowerOfTwo()||(r=n.LINEAR),t!==this.filter&&(n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MAG_FILTER,t),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MIN_FILTER,r||t),this.filter=t),e!==this.wrap&&(n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_S,e),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_T,e),this.wrap=e)},Vc.prototype.isSizePowerOfTwo=function(){return this.size[0]===this.size[1]&&Math.log(this.size[0])/Math.LN2%1==0},Vc.prototype.destroy=function(){this.context.gl.deleteTexture(this.texture),this.texture=null};var qc=function(t){var e=this;this._callback=t,this._triggered=!1,\\\"undefined\\\"!=typeof MessageChannel&&(this._channel=new MessageChannel,this._channel.port2.onmessage=function(){e._triggered=!1,e._callback()})};qc.prototype.trigger=function(){var t=this;this._triggered||(this._triggered=!0,this._channel?this._channel.port1.postMessage(!0):setTimeout((function(){t._triggered=!1,t._callback()}),0))},qc.prototype.remove=function(){delete this._channel,this._callback=function(){}};var Hc=function(t,e,r){this.target=t,this.parent=e,this.mapId=r,this.callbacks={},this.tasks={},this.taskQueue=[],this.cancelCallbacks={},m([\\\"receive\\\",\\\"process\\\"],this),this.invoker=new qc(this.process),this.target.addEventListener(\\\"message\\\",this.receive,!1),this.globalScope=k()?t:self};function Gc(t,e,r){var n=2*Math.PI*6378137/256/Math.pow(2,r);return[t*n-2*Math.PI*6378137/2,e*n-2*Math.PI*6378137/2]}Hc.prototype.send=function(t,e,r,n,i){var a=this;void 0===i&&(i=!1);var o=Math.round(1e18*Math.random()).toString(36).substring(0,10);r&&(this.callbacks[o]=r);var s=S(this.globalScope)?void 0:[];return this.target.postMessage({id:o,type:t,hasCallback:!!r,targetMapId:n,mustQueue:i,sourceMapId:this.mapId,data:qn(e,s)},s),{cancel:function(){r&&delete a.callbacks[o],a.target.postMessage({id:o,type:\\\"<cancel>\\\",targetMapId:n,sourceMapId:a.mapId})}}},Hc.prototype.receive=function(t){var e=t.data,r=e.id;if(r&&(!e.targetMapId||this.mapId===e.targetMapId))if(\\\"<cancel>\\\"===e.type){delete this.tasks[r];var n=this.cancelCallbacks[r];delete this.cancelCallbacks[r],n&&n()}else k()||e.mustQueue?(this.tasks[r]=e,this.taskQueue.push(r),this.invoker.trigger()):this.processTask(r,e)},Hc.prototype.process=function(){if(this.taskQueue.length){var t=this.taskQueue.shift(),e=this.tasks[t];delete this.tasks[t],this.taskQueue.length&&this.invoker.trigger(),e&&this.processTask(t,e)}},Hc.prototype.processTask=function(t,e){var r=this;if(\\\"<response>\\\"===e.type){var n=this.callbacks[t];delete this.callbacks[t],n&&(e.error?n(Hn(e.error)):n(null,Hn(e.data)))}else{var i=!1,a=S(this.globalScope)?void 0:[],o=e.hasCallback?function(e,n){i=!0,delete r.cancelCallbacks[t],r.target.postMessage({id:t,type:\\\"<response>\\\",sourceMapId:r.mapId,error:e?qn(e):null,data:qn(n,a)},a)}:function(t){i=!0},s=null,l=Hn(e.data);if(this.parent[e.type])s=this.parent[e.type](e.sourceMapId,l,o);else if(this.parent.getWorkerSource){var c=e.type.split(\\\".\\\");s=this.parent.getWorkerSource(e.sourceMapId,c[0],l.source)[c[1]](l,o)}else o(new Error(\\\"Could not find function \\\"+e.type));!i&&s&&s.cancel&&(this.cancelCallbacks[t]=s.cancel)}},Hc.prototype.remove=function(){this.invoker.remove(),this.target.removeEventListener(\\\"message\\\",this.receive,!1)};var Yc=function(t,e){t&&(e?this.setSouthWest(t).setNorthEast(e):4===t.length?this.setSouthWest([t[0],t[1]]).setNorthEast([t[2],t[3]]):this.setSouthWest(t[0]).setNorthEast(t[1]))};Yc.prototype.setNorthEast=function(t){return this._ne=t instanceof Wc?new Wc(t.lng,t.lat):Wc.convert(t),this},Yc.prototype.setSouthWest=function(t){return this._sw=t instanceof Wc?new Wc(t.lng,t.lat):Wc.convert(t),this},Yc.prototype.extend=function(t){var e,r,n=this._sw,i=this._ne;if(t instanceof Wc)e=t,r=t;else{if(!(t instanceof Yc)){if(Array.isArray(t)){if(4===t.length||t.every(Array.isArray)){var a=t;return this.extend(Yc.convert(a))}var o=t;return this.extend(Wc.convert(o))}return this}if(e=t._sw,r=t._ne,!e||!r)return this}return n||i?(n.lng=Math.min(e.lng,n.lng),n.lat=Math.min(e.lat,n.lat),i.lng=Math.max(r.lng,i.lng),i.lat=Math.max(r.lat,i.lat)):(this._sw=new Wc(e.lng,e.lat),this._ne=new Wc(r.lng,r.lat)),this},Yc.prototype.getCenter=function(){return new Wc((this._sw.lng+this._ne.lng)/2,(this._sw.lat+this._ne.lat)/2)},Yc.prototype.getSouthWest=function(){return this._sw},Yc.prototype.getNorthEast=function(){return this._ne},Yc.prototype.getNorthWest=function(){return new Wc(this.getWest(),this.getNorth())},Yc.prototype.getSouthEast=function(){return new Wc(this.getEast(),this.getSouth())},Yc.prototype.getWest=function(){return this._sw.lng},Yc.prototype.getSouth=function(){return this._sw.lat},Yc.prototype.getEast=function(){return this._ne.lng},Yc.prototype.getNorth=function(){return this._ne.lat},Yc.prototype.toArray=function(){return[this._sw.toArray(),this._ne.toArray()]},Yc.prototype.toString=function(){return\\\"LngLatBounds(\\\"+this._sw.toString()+\\\", \\\"+this._ne.toString()+\\\")\\\"},Yc.prototype.isEmpty=function(){return!(this._sw&&this._ne)},Yc.prototype.contains=function(t){var e=Wc.convert(t),r=e.lng,n=e.lat,i=this._sw.lat<=n&&n<=this._ne.lat,a=this._sw.lng<=r&&r<=this._ne.lng;return this._sw.lng>this._ne.lng&&(a=this._sw.lng>=r&&r>=this._ne.lng),i&&a},Yc.convert=function(t){return!t||t instanceof Yc?t:new Yc(t)};var Wc=function(t,e){if(isNaN(t)||isNaN(e))throw new Error(\\\"Invalid LngLat object: (\\\"+t+\\\", \\\"+e+\\\")\\\");if(this.lng=+t,this.lat=+e,this.lat>90||this.lat<-90)throw new Error(\\\"Invalid LngLat latitude value: must be between -90 and 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this.z===t.z&&this.x===t.x&&this.y===t.y},eu.prototype.url=function(t,e){var r,n,i,a,o,s=(r=this.x,n=this.y,i=this.z,a=Gc(256*r,256*(n=Math.pow(2,i)-n-1),i),o=Gc(256*(r+1),256*(n+1),i),a[0]+\\\",\\\"+a[1]+\\\",\\\"+o[0]+\\\",\\\"+o[1]),l=function(t,e,r){for(var n,i=\\\"\\\",a=t;a>0;a--)i+=(e&(n=1<<a-1)?1:0)+(r&n?2:0);return i}(this.z,this.x,this.y);return t[(this.x+this.y)%t.length].replace(\\\"{prefix}\\\",(this.x%16).toString(16)+(this.y%16).toString(16)).replace(\\\"{z}\\\",String(this.z)).replace(\\\"{x}\\\",String(this.x)).replace(\\\"{y}\\\",String(\\\"tms\\\"===e?Math.pow(2,this.z)-this.y-1:this.y)).replace(\\\"{quadkey}\\\",l).replace(\\\"{bbox-epsg-3857}\\\",s)},eu.prototype.getTilePoint=function(t){var e=Math.pow(2,this.z);return new i(8192*(t.x*e-this.x),8192*(t.y*e-this.y))},eu.prototype.toString=function(){return this.z+\\\"/\\\"+this.x+\\\"/\\\"+this.y};var ru=function(t,e){this.wrap=t,this.canonical=e,this.key=iu(t,e.z,e.z,e.x,e.y)},nu=function(t,e,r,n,i){this.overscaledZ=t,this.wrap=e,this.canonical=new eu(r,+n,+i),this.key=iu(e,t,r,n,i)};function iu(t,e,r,n,i){(t*=2)<0&&(t=-1*t-1);var a=1<<r;return(a*a*t+a*i+n).toString(36)+r.toString(36)+e.toString(36)}nu.prototype.equals=function(t){return this.overscaledZ===t.overscaledZ&&this.wrap===t.wrap&&this.canonical.equals(t.canonical)},nu.prototype.scaledTo=function(t){var e=this.canonical.z-t;return t>this.canonical.z?new nu(t,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y):new nu(t,this.wrap,t,this.canonical.x>>e,this.canonical.y>>e)},nu.prototype.calculateScaledKey=function(t,e){var r=this.canonical.z-t;return t>this.canonical.z?iu(this.wrap*+e,t,this.canonical.z,this.canonical.x,this.canonical.y):iu(this.wrap*+e,t,t,this.canonical.x>>r,this.canonical.y>>r)},nu.prototype.isChildOf=function(t){if(t.wrap!==this.wrap)return!1;var e=this.canonical.z-t.canonical.z;return 0===t.overscaledZ||t.overscaledZ<this.overscaledZ&&t.canonical.x===this.canonical.x>>e&&t.canonical.y===this.canonical.y>>e},nu.prototype.children=function(t){if(this.overscaledZ>=t)return[new nu(this.overscaledZ+1,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y)];var e=this.canonical.z+1,r=2*this.canonical.x,n=2*this.canonical.y;return[new nu(e,this.wrap,e,r,n),new nu(e,this.wrap,e,r+1,n),new nu(e,this.wrap,e,r,n+1),new nu(e,this.wrap,e,r+1,n+1)]},nu.prototype.isLessThan=function(t){return this.wrap<t.wrap||!(this.wrap>t.wrap)&&(this.overscaledZ<t.overscaledZ||!(this.overscaledZ>t.overscaledZ)&&(this.canonical.x<t.canonical.x||!(this.canonical.x>t.canonical.x)&&this.canonical.y<t.canonical.y))},nu.prototype.wrapped=function(){return new nu(this.overscaledZ,0,this.canonical.z,this.canonical.x,this.canonical.y)},nu.prototype.unwrapTo=function(t){return new nu(this.overscaledZ,t,this.canonical.z,this.canonical.x,this.canonical.y)},nu.prototype.overscaleFactor=function(){return Math.pow(2,this.overscaledZ-this.canonical.z)},nu.prototype.toUnwrapped=function(){return new ru(this.wrap,this.canonical)},nu.prototype.toString=function(){return this.overscaledZ+\\\"/\\\"+this.canonical.x+\\\"/\\\"+this.canonical.y},nu.prototype.getTilePoint=function(t){return this.canonical.getTilePoint(new tu(t.x-this.wrap,t.y))},Nn(\\\"CanonicalTileID\\\",eu),Nn(\\\"OverscaledTileID\\\",nu,{omit:[\\\"posMatrix\\\"]});var au=function(t,e,r){if(this.uid=t,e.height!==e.width)throw new RangeError(\\\"DEM tiles must be square\\\");if(r&&\\\"mapbox\\\"!==r&&\\\"terrarium\\\"!==r)return _('\\\"'+r+'\\\" is not a valid encoding type. Valid types include \\\"mapbox\\\" and \\\"terrarium\\\".');this.stride=e.height;var n=this.dim=e.height-2;this.data=new Uint32Array(e.data.buffer),this.encoding=r||\\\"mapbox\\\";for(var i=0;i<n;i++)this.data[this._idx(-1,i)]=this.data[this._idx(0,i)],this.data[this._idx(n,i)]=this.data[this._idx(n-1,i)],this.data[this._idx(i,-1)]=this.data[this._idx(i,0)],this.data[this._idx(i,n)]=this.data[this._idx(i,n-1)];this.data[this._idx(-1,-1)]=this.data[this._idx(0,0)],this.data[this._idx(n,-1)]=this.data[this._idx(n-1,0)],this.data[this._idx(-1,n)]=this.data[this._idx(0,n-1)],this.data[this._idx(n,n)]=this.data[this._idx(n-1,n-1)]};au.prototype.get=function(t,e){var r=new Uint8Array(this.data.buffer),n=4*this._idx(t,e);return(\\\"terrarium\\\"===this.encoding?this._unpackTerrarium:this._unpackMapbox)(r[n],r[n+1],r[n+2])},au.prototype.getUnpackVector=function(){return\\\"terrarium\\\"===this.encoding?[256,1,1/256,32768]:[6553.6,25.6,.1,1e4]},au.prototype._idx=function(t,e){if(t<-1||t>=this.dim+1||e<-1||e>=this.dim+1)throw new RangeError(\\\"out of range source coordinates for DEM data\\\");return(e+1)*this.stride+(t+1)},au.prototype._unpackMapbox=function(t,e,r){return(256*t*256+256*e+r)/10-1e4},au.prototype._unpackTerrarium=function(t,e,r){return 256*t+e+r/256-32768},au.prototype.getPixels=function(){return new Eo({width:this.stride,height:this.stride},new Uint8Array(this.data.buffer))},au.prototype.backfillBorder=function(t,e,r){if(this.dim!==t.dim)throw new Error(\\\"dem dimension mismatch\\\");var n=e*this.dim,i=e*this.dim+this.dim,a=r*this.dim,o=r*this.dim+this.dim;switch(e){case-1:n=i-1;break;case 1:i=n+1}switch(r){case-1:a=o-1;break;case 1:o=a+1}for(var s=-e*this.dim,l=-r*this.dim,c=a;c<o;c++)for(var u=n;u<i;u++)this.data[this._idx(u,c)]=t.data[this._idx(u+s,c+l)]},Nn(\\\"DEMData\\\",au);var ou=function(t){this._stringToNumber={},this._numberToString=[];for(var e=0;e<t.length;e++){var r=t[e];this._stringToNumber[r]=e,this._numberToString[e]=r}};ou.prototype.encode=function(t){return this._stringToNumber[t]},ou.prototype.decode=function(t){return this._numberToString[t]};var su=function(t,e,r,n,i){this.type=\\\"Feature\\\",this._vectorTileFeature=t,t._z=e,t._x=r,t._y=n,this.properties=t.properties,this.id=i},lu={geometry:{configurable:!0}};lu.geometry.get=function(){return void 0===this._geometry&&(this._geometry=this._vectorTileFeature.toGeoJSON(this._vectorTileFeature._x,this._vectorTileFeature._y,this._vectorTileFeature._z).geometry),this._geometry},lu.geometry.set=function(t){this._geometry=t},su.prototype.toJSON=function(){var t={geometry:this.geometry};for(var e in this)\\\"_geometry\\\"!==e&&\\\"_vectorTileFeature\\\"!==e&&(t[e]=this[e]);return t},Object.defineProperties(su.prototype,lu);var cu=function(){this.state={},this.stateChanges={},this.deletedStates={}};cu.prototype.updateState=function(t,e,r){var n=String(e);if(this.stateChanges[t]=this.stateChanges[t]||{},this.stateChanges[t][n]=this.stateChanges[t][n]||{},u(this.stateChanges[t][n],r),null===this.deletedStates[t])for(var i in this.deletedStates[t]={},this.state[t])i!==n&&(this.deletedStates[t][i]=null);else if(this.deletedStates[t]&&null===this.deletedStates[t][n])for(var a in this.deletedStates[t][n]={},this.state[t][n])r[a]||(this.deletedStates[t][n][a]=null);else for(var o in r){this.deletedStates[t]&&this.deletedStates[t][n]&&null===this.deletedStates[t][n][o]&&delete this.deletedStates[t][n][o]}},cu.prototype.removeFeatureState=function(t,e,r){if(!(null===this.deletedStates[t])){var n=String(e);if(this.deletedStates[t]=this.deletedStates[t]||{},r&&void 0!==e)null!==this.deletedStates[t][n]&&(this.deletedStates[t][n]=this.deletedStates[t][n]||{},this.deletedStates[t][n][r]=null);else if(void 0!==e){if(this.stateChanges[t]&&this.stateChanges[t][n])for(r in this.deletedStates[t][n]={},this.stateChanges[t][n])this.deletedStates[t][n][r]=null;else this.deletedStates[t][n]=null}else this.deletedStates[t]=null}},cu.prototype.getState=function(t,e){var r=String(e),n=this.state[t]||{},i=this.stateChanges[t]||{},a=u({},n[r],i[r]);if(null===this.deletedStates[t])return{};if(this.deletedStates[t]){var o=this.deletedStates[t][e];if(null===o)return{};for(var s in o)delete a[s]}return a},cu.prototype.initializeTileState=function(t,e){t.setFeatureState(this.state,e)},cu.prototype.coalesceChanges=function(t,e){var r={};for(var n in this.stateChanges){this.state[n]=this.state[n]||{};var i={};for(var a in this.stateChanges[n])this.state[n][a]||(this.state[n][a]={}),u(this.state[n][a],this.stateChanges[n][a]),i[a]=this.state[n][a];r[n]=i}for(var o in this.deletedStates){this.state[o]=this.state[o]||{};var s={};if(null===this.deletedStates[o])for(var l in this.state[o])s[l]={},this.state[o][l]={};else for(var c in this.deletedStates[o]){if(null===this.deletedStates[o][c])this.state[o][c]={};else for(var f=0,h=Object.keys(this.deletedStates[o][c]);f<h.length;f+=1){var p=h[f];delete this.state[o][c][p]}s[c]=this.state[o][c]}r[o]=r[o]||{},u(r[o],s)}if(this.stateChanges={},this.deletedStates={},0!==Object.keys(r).length)for(var d in t){t[d].setFeatureState(r,e)}};var uu=function(t,e){this.tileID=t,this.x=t.canonical.x,this.y=t.canonical.y,this.z=t.canonical.z,this.grid=new zn(8192,16,0),this.grid3D=new zn(8192,16,0),this.featureIndexArray=new fa,this.promoteId=e};function fu(t,e,r,n,i){return v(t,(function(t,a){var o=e instanceof _i?e.get(a):null;return o&&o.evaluate?o.evaluate(r,n,i):o}))}function hu(t){for(var e=1/0,r=1/0,n=-1/0,i=-1/0,a=0,o=t;a<o.length;a+=1){var s=o[a];e=Math.min(e,s.x),r=Math.min(r,s.y),n=Math.max(n,s.x),i=Math.max(i,s.y)}return{minX:e,minY:r,maxX:n,maxY:i}}function pu(t,e){return e-t}uu.prototype.insert=function(t,e,r,n,i,a){var o=this.featureIndexArray.length;this.featureIndexArray.emplaceBack(r,n,i);for(var s=a?this.grid3D:this.grid,l=0;l<e.length;l++){for(var c=e[l],u=[1/0,1/0,-1/0,-1/0],f=0;f<c.length;f++){var h=c[f];u[0]=Math.min(u[0],h.x),u[1]=Math.min(u[1],h.y),u[2]=Math.max(u[2],h.x),u[3]=Math.max(u[3],h.y)}u[0]<8192&&u[1]<8192&&u[2]>=0&&u[3]>=0&&s.insert(o,u[0],u[1],u[2],u[3])}},uu.prototype.loadVTLayers=function(){return this.vtLayers||(this.vtLayers=new Ls.VectorTile(new al(this.rawTileData)).layers,this.sourceLayerCoder=new ou(this.vtLayers?Object.keys(this.vtLayers).sort():[\\\"_geojsonTileLayer\\\"])),this.vtLayers},uu.prototype.query=function(t,e,r,n){var a=this;this.loadVTLayers();for(var o=t.params||{},s=8192/t.tileSize/t.scale,l=sn(o.filter),c=t.queryGeometry,u=t.queryPadding*s,f=hu(c),h=this.grid.query(f.minX-u,f.minY-u,f.maxX+u,f.maxY+u),p=hu(t.cameraQueryGeometry),d=this.grid3D.query(p.minX-u,p.minY-u,p.maxX+u,p.maxY+u,(function(e,r,n,a){return function(t,e,r,n,a){for(var o=0,s=t;o<s.length;o+=1){var l=s[o];if(e<=l.x&&r<=l.y&&n>=l.x&&a>=l.y)return!0}var c=[new i(e,r),new i(e,a),new i(n,a),new i(n,r)];if(t.length>2)for(var u=0,f=c;u<f.length;u+=1){if(io(t,f[u]))return!0}for(var h=0;h<t.length-1;h++){if(ao(t[h],t[h+1],c))return!0}return!1}(t.cameraQueryGeometry,e-u,r-u,n+u,a+u)})),m=0,g=d;m<g.length;m+=1){var v=g[m];h.push(v)}h.sort(pu);for(var y,x={},b=function(i){var u=h[i];if(u!==y){y=u;var f=a.featureIndexArray.get(u),p=null;a.loadMatchingFeature(x,f.bucketIndex,f.sourceLayerIndex,f.featureIndex,l,o.layers,o.availableImages,e,r,n,(function(e,r,n){return p||(p=Ya(e)),r.queryIntersectsFeature(c,e,n,p,a.z,t.transform,s,t.pixelPosMatrix)}))}},_=0;_<h.length;_++)b(_);return x},uu.prototype.loadMatchingFeature=function(t,e,r,n,i,a,o,s,l,c,u){var f=this.bucketLayerIDs[e];if(!a||function(t,e){for(var r=0;r<t.length;r++)if(e.indexOf(t[r])>=0)return!0;return!1}(a,f)){var h=this.sourceLayerCoder.decode(r),p=this.vtLayers[h].feature(n);if(i.filter(new pi(this.tileID.overscaledZ),p))for(var d=this.getId(p,h),m=0;m<f.length;m++){var g=f[m];if(!(a&&a.indexOf(g)<0)){var v=s[g];if(v){var y={};void 0!==d&&c&&(y=c.getState(v.sourceLayer||\\\"_geojsonTileLayer\\\",d));var x=l[g];x.paint=fu(x.paint,v.paint,p,y,o),x.layout=fu(x.layout,v.layout,p,y,o);var b=!u||u(p,v,y);if(b){var _=new su(p,this.z,this.x,this.y,d);_.layer=x;var w=t[g];void 0===w&&(w=t[g]=[]),w.push({featureIndex:n,feature:_,intersectionZ:b})}}}}}},uu.prototype.lookupSymbolFeatures=function(t,e,r,n,i,a,o,s){var l={};this.loadVTLayers();for(var c=sn(i),u=0,f=t;u<f.length;u+=1){var h=f[u];this.loadMatchingFeature(l,r,n,h,c,a,o,s,e)}return l},uu.prototype.hasLayer=function(t){for(var e=0,r=this.bucketLayerIDs;e<r.length;e+=1)for(var n=0,i=r[e];n<i.length;n+=1){if(t===i[n])return!0}return!1},uu.prototype.getId=function(t,e){var r=t.id;if(this.promoteId){var n=\\\"string\\\"==typeof this.promoteId?this.promoteId:this.promoteId[e];\\\"boolean\\\"==typeof(r=t.properties[n])&&(r=Number(r))}return r},Nn(\\\"FeatureIndex\\\",uu,{omit:[\\\"rawTileData\\\",\\\"sourceLayerCoder\\\"]});var du=function(t,e){this.tileID=t,this.uid=h(),this.uses=0,this.tileSize=e,this.buckets={},this.expirationTime=null,this.queryPadding=0,this.hasSymbolBuckets=!1,this.hasRTLText=!1,this.dependencies={},this.expiredRequestCount=0,this.state=\\\"loading\\\"};du.prototype.registerFadeDuration=function(t){var e=t+this.timeAdded;e<R.now()||this.fadeEndTime&&e<this.fadeEndTime||(this.fadeEndTime=e)},du.prototype.wasRequested=function(){return\\\"errored\\\"===this.state||\\\"loaded\\\"===this.state||\\\"reloading\\\"===this.state},du.prototype.loadVectorData=function(t,e,r){if(this.hasData()&&this.unloadVectorData(),this.state=\\\"loaded\\\",t){for(var n in t.featureIndex&&(this.latestFeatureIndex=t.featureIndex,t.rawTileData?(this.latestRawTileData=t.rawTileData,this.latestFeatureIndex.rawTileData=t.rawTileData):this.latestRawTileData&&(this.latestFeatureIndex.rawTileData=this.latestRawTileData)),this.collisionBoxArray=t.collisionBoxArray,this.buckets=function(t,e){var r={};if(!e)return r;for(var n=function(){var t=a[i],n=t.layerIds.map((function(t){return e.getLayer(t)})).filter(Boolean);if(0!==n.length){t.layers=n,t.stateDependentLayerIds&&(t.stateDependentLayers=t.stateDependentLayerIds.map((function(t){return n.filter((function(e){return e.id===t}))[0]})));for(var o=0,s=n;o<s.length;o+=1){var l=s[o];r[l.id]=t}}},i=0,a=t;i<a.length;i+=1)n();return r}(t.buckets,e.style),this.hasSymbolBuckets=!1,this.buckets){var i=this.buckets[n];if(i instanceof Ac){if(this.hasSymbolBuckets=!0,!r)break;i.justReloaded=!0}}if(this.hasRTLText=!1,this.hasSymbolBuckets)for(var a in this.buckets){var o=this.buckets[a];if(o instanceof Ac&&o.hasRTLText){this.hasRTLText=!0,hi.isLoading()||hi.isLoaded()||\\\"deferred\\\"!==ui()||fi();break}}for(var s in this.queryPadding=0,this.buckets){var l=this.buckets[s];this.queryPadding=Math.max(this.queryPadding,e.style.getLayer(s).queryRadius(l))}t.imageAtlas&&(this.imageAtlas=t.imageAtlas),t.glyphAtlasImage&&(this.glyphAtlasImage=t.glyphAtlasImage)}else this.collisionBoxArray=new na},du.prototype.unloadVectorData=function(){for(var t in this.buckets)this.buckets[t].destroy();this.buckets={},this.imageAtlasTexture&&this.imageAtlasTexture.destroy(),this.imageAtlas&&(this.imageAtlas=null),this.glyphAtlasTexture&&this.glyphAtlasTexture.destroy(),this.latestFeatureIndex=null,this.state=\\\"unloaded\\\"},du.prototype.getBucket=function(t){return this.buckets[t.id]},du.prototype.upload=function(t){for(var e in this.buckets){var r=this.buckets[e];r.uploadPending()&&r.upload(t)}var n=t.gl;this.imageAtlas&&!this.imageAtlas.uploaded&&(this.imageAtlasTexture=new Vc(t,this.imageAtlas.image,n.RGBA),this.imageAtlas.uploaded=!0),this.glyphAtlasImage&&(this.glyphAtlasTexture=new Vc(t,this.glyphAtlasImage,n.ALPHA),this.glyphAtlasImage=null)},du.prototype.prepare=function(t){this.imageAtlas&&this.imageAtlas.patchUpdatedImages(t,this.imageAtlasTexture)},du.prototype.queryRenderedFeatures=function(t,e,r,n,i,a,o,s,l,c){return this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData?this.latestFeatureIndex.query({queryGeometry:n,cameraQueryGeometry:i,scale:a,tileSize:this.tileSize,pixelPosMatrix:c,transform:s,params:o,queryPadding:this.queryPadding*l},t,e,r):{}},du.prototype.querySourceFeatures=function(t,e){var r=this.latestFeatureIndex;if(r&&r.rawTileData){var n=r.loadVTLayers(),i=e?e.sourceLayer:\\\"\\\",a=n._geojsonTileLayer||n[i];if(a)for(var o=sn(e&&e.filter),s=this.tileID.canonical,l=s.z,c=s.x,u=s.y,f={z:l,x:c,y:u},h=0;h<a.length;h++){var p=a.feature(h);if(o.filter(new pi(this.tileID.overscaledZ),p)){var d=r.getId(p,i),m=new su(p,l,c,u,d);m.tile=f,t.push(m)}}}},du.prototype.hasData=function(){return\\\"loaded\\\"===this.state||\\\"reloading\\\"===this.state||\\\"expired\\\"===this.state},du.prototype.patternsLoaded=function(){return this.imageAtlas&&!!Object.keys(this.imageAtlas.patternPositions).length},du.prototype.setExpiryData=function(t){var e=this.expirationTime;if(t.cacheControl){var r=M(t.cacheControl);r[\\\"max-age\\\"]&&(this.expirationTime=Date.now()+1e3*r[\\\"max-age\\\"])}else t.expires&&(this.expirationTime=new Date(t.expires).getTime());if(this.expirationTime){var n=Date.now(),i=!1;if(this.expirationTime>n)i=!1;else if(e)if(this.expirationTime<e)i=!0;else{var a=this.expirationTime-e;a?this.expirationTime=n+Math.max(a,3e4):i=!0}else i=!0;i?(this.expiredRequestCount++,this.state=\\\"expired\\\"):this.expiredRequestCount=0}},du.prototype.getExpiryTimeout=function(){if(this.expirationTime)return this.expiredRequestCount?1e3*(1<<Math.min(this.expiredRequestCount-1,31)):Math.min(this.expirationTime-(new Date).getTime(),Math.pow(2,31)-1)},du.prototype.setFeatureState=function(t,e){if(this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData&&0!==Object.keys(t).length){var r=this.latestFeatureIndex.loadVTLayers();for(var n in this.buckets)if(e.style.hasLayer(n)){var i=this.buckets[n],a=i.layers[0].sourceLayer||\\\"_geojsonTileLayer\\\",o=r[a],s=t[a];if(o&&s&&0!==Object.keys(s).length){i.update(s,o,this.imageAtlas&&this.imageAtlas.patternPositions||{});var l=e&&e.style&&e.style.getLayer(n);l&&(this.queryPadding=Math.max(this.queryPadding,l.queryRadius(i)))}}}},du.prototype.holdingForFade=function(){return void 0!==this.symbolFadeHoldUntil},du.prototype.symbolFadeFinished=function(){return!this.symbolFadeHoldUntil||this.symbolFadeHoldUntil<R.now()},du.prototype.clearFadeHold=function(){this.symbolFadeHoldUntil=void 0},du.prototype.setHoldDuration=function(t){this.symbolFadeHoldUntil=R.now()+t},du.prototype.setDependencies=function(t,e){for(var r={},n=0,i=e;n<i.length;n+=1){r[i[n]]=!0}this.dependencies[t]=r},du.prototype.hasDependency=function(t,e){for(var r=0,n=t;r<n.length;r+=1){var i=n[r],a=this.dependencies[i];if(a)for(var o=0,s=e;o<s.length;o+=1){if(a[s[o]])return!0}}return!1};var mu=self.performance,gu=function(t){this._marks={start:[t.url,\\\"start\\\"].join(\\\"#\\\"),end:[t.url,\\\"end\\\"].join(\\\"#\\\"),measure:t.url.toString()},mu.mark(this._marks.start)};gu.prototype.finish=function(){mu.mark(this._marks.end);var t=mu.getEntriesByName(this._marks.measure);return 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l=function(t,e,r,n){this.actor=t,this.layerIndex=e,this.availableImages=r,this.loadVectorData=n||s,this.loading={},this.loaded={}};l.prototype.loadTile=function(e,r){var n=this,i=e.uid;this.loading||(this.loading={});var o=!!(e&&e.request&&e.request.collectResourceTiming)&&new t.RequestPerformance(e.request),s=this.loading[i]=new a(e);s.abort=this.loadVectorData(e,(function(e,a){if(delete n.loading[i],e||!a)return s.status=\\\"done\\\",n.loaded[i]=s,r(e);var l=a.rawData,c={};a.expires&&(c.expires=a.expires),a.cacheControl&&(c.cacheControl=a.cacheControl);var u={};if(o){var f=o.finish();f&&(u.resourceTiming=JSON.parse(JSON.stringify(f)))}s.vectorTile=a.vectorTile,s.parse(a.vectorTile,n.layerIndex,n.availableImages,n.actor,(function(e,n){if(e||!n)return r(e);r(null,t.extend({rawTileData:l.slice(0)},n,c,u))})),n.loaded=n.loaded||{},n.loaded[i]=s}))},l.prototype.reloadTile=function(t,e){var r=this,n=this.loaded,i=t.uid,a=this;if(n&&n[i]){var o=n[i];o.showCollisionBoxes=t.showCollisionBoxes;var s=function(t,n){var i=o.reloadCallback;i&&(delete o.reloadCallback,o.parse(o.vectorTile,a.layerIndex,r.availableImages,a.actor,i)),e(t,n)};\\\"parsing\\\"===o.status?o.reloadCallback=s:\\\"done\\\"===o.status&&(o.vectorTile?o.parse(o.vectorTile,this.layerIndex,this.availableImages,this.actor,s):s())}},l.prototype.abortTile=function(t,e){var r=this.loading,n=t.uid;r&&r[n]&&r[n].abort&&(r[n].abort(),delete r[n]),e()},l.prototype.removeTile=function(t,e){var r=this.loaded,n=t.uid;r&&r[n]&&delete r[n],e()};var c=t.window.ImageBitmap,u=function(){this.loaded={}};u.prototype.loadTile=function(e,r){var n=e.uid,i=e.encoding,a=e.rawImageData,o=c&&a instanceof c?this.getImageData(a):a,s=new t.DEMData(n,o,i);this.loaded=this.loaded||{},this.loaded[n]=s,r(null,s)},u.prototype.getImageData=function(e){this.offscreenCanvas&&this.offscreenCanvasContext||(this.offscreenCanvas=new 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u=e.tags||null;if(\\\"LineString\\\"===a&&n.lineMetrics){for(var f in u={},e.tags)u[f]=e.tags[f];u.mapbox_clip_start=i.start/i.size,u.mapbox_clip_end=i.end/i.size}var h={geometry:o,type:\\\"Polygon\\\"===a||\\\"MultiPolygon\\\"===a?3:\\\"LineString\\\"===a||\\\"MultiLineString\\\"===a?2:1,tags:u};null!==e.id&&(h.id=e.id),t.features.push(h)}}function bt(t,e,r,n,i,a){var o=n*n;if(n>0&&e.size<(i?o:n))r.numPoints+=e.length/3;else{for(var s=[],l=0;l<e.length;l+=3)(0===n||e[l+2]>o)&&(r.numSimplified++,s.push(e[l]),s.push(e[l+1])),r.numPoints++;i&&function(t,e){for(var r=0,n=0,i=t.length,a=i-2;n<i;a=n,n+=2)r+=(t[n]-t[a])*(t[n+1]+t[a+1]);if(r>0===e)for(n=0,i=t.length;n<i/2;n+=2){var o=t[n],s=t[n+1];t[n]=t[i-2-n],t[n+1]=t[i-1-n],t[i-2-n]=o,t[i-1-n]=s}}(s,a),t.push(s)}}function _t(t,e){var r=(e=this.options=function(t,e){for(var r in e)t[r]=e[r];return t}(Object.create(this.options),e)).debug;if(r&&console.time(\\\"preprocess data\\\"),e.maxZoom<0||e.maxZoom>24)throw new Error(\\\"maxZoom should 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generated:\\\",this.total,JSON.stringify(this.stats)))}function wt(t,e,r){return 32*((1<<t)*r+e)+t}function Tt(t,e){var r=t.tileID.canonical;if(!this._geoJSONIndex)return e(null,null);var n=this._geoJSONIndex.getTile(r.z,r.x,r.y);if(!n)return e(null,null);var i=new g(n.features),a=_(i);0===a.byteOffset&&a.byteLength===a.buffer.byteLength||(a=new Uint8Array(a)),e(null,{vectorTile:i,rawData:a.buffer})}U.prototype.load=function(t){var e=this.options,r=e.log,n=e.minZoom,i=e.maxZoom,a=e.nodeSize;r&&console.time(\\\"total time\\\");var o=\\\"prepare \\\"+t.length+\\\" points\\\";r&&console.time(o),this.points=t;for(var s=[],l=0;l<t.length;l++)t[l].geometry&&s.push(q(t[l],l));this.trees[i+1]=new N(s,Z,J,a,Float32Array),r&&console.timeEnd(o);for(var c=i;c>=n;c--){var u=+Date.now();s=this._cluster(s,c),this.trees[c]=new N(s,Z,J,a,Float32Array),r&&console.log(\\\"z%d: %d clusters in %dms\\\",c,s.length,+Date.now()-u)}return r&&console.timeEnd(\\\"total time\\\"),this},U.prototype.getClusters=function(t,e){var r=((t[0]+180)%360+360)%360-180,n=Math.max(-90,Math.min(90,t[1])),i=180===t[2]?180:((t[2]+180)%360+360)%360-180,a=Math.max(-90,Math.min(90,t[3]));if(t[2]-t[0]>=360)r=-180,i=180;else if(r>i){var o=this.getClusters([r,n,180,a],e),s=this.getClusters([-180,n,i,a],e);return o.concat(s)}for(var l=this.trees[this._limitZoom(e)],c=[],u=0,f=l.range(Y(r),W(a),Y(i),W(n));u<f.length;u+=1){var h=f[u],p=l.points[h];c.push(p.numPoints?H(p):this.points[p.index])}return c},U.prototype.getChildren=function(t){var e=this._getOriginId(t),r=this._getOriginZoom(t),n=\\\"No cluster with the specified id.\\\",i=this.trees[r];if(!i)throw new Error(n);var a=i.points[e];if(!a)throw new Error(n);for(var o=this.options.radius/(this.options.extent*Math.pow(2,r-1)),s=[],l=0,c=i.within(a.x,a.y,o);l<c.length;l+=1){var u=c[l],f=i.points[u];f.parentId===t&&s.push(f.numPoints?H(f):this.points[f.index])}if(0===s.length)throw new Error(n);return s},U.prototype.getLeaves=function(t,e,r){e=e||10,r=r||0;var n=[];return this._appendLeaves(n,t,e,r,0),n},U.prototype.getTile=function(t,e,r){var n=this.trees[this._limitZoom(t)],i=Math.pow(2,t),a=this.options,o=a.extent,s=a.radius/o,l=(r-s)/i,c=(r+1+s)/i,u={features:[]};return this._addTileFeatures(n.range((e-s)/i,l,(e+1+s)/i,c),n.points,e,r,i,u),0===e&&this._addTileFeatures(n.range(1-s/i,l,1,c),n.points,i,r,i,u),e===i-1&&this._addTileFeatures(n.range(0,l,s/i,c),n.points,-1,r,i,u),u.features.length?u:null},U.prototype.getClusterExpansionZoom=function(t){for(var e=this._getOriginZoom(t)-1;e<=this.options.maxZoom;){var r=this.getChildren(t);if(e++,1!==r.length)break;t=r[0].properties.cluster_id}return e},U.prototype._appendLeaves=function(t,e,r,n,i){for(var a=0,o=this.getChildren(e);a<o.length;a+=1){var s=o[a],l=s.properties;if(l&&l.cluster?i+l.point_count<=n?i+=l.point_count:i=this._appendLeaves(t,l.cluster_id,r,n,i):i<n?i++:t.push(s),t.length===r)break}return i},U.prototype._addTileFeatures=function(t,e,r,n,i,a){for(var o=0,s=t;o<s.length;o+=1){var l=e[s[o]],c=l.numPoints,u={type:1,geometry:[[Math.round(this.options.extent*(l.x*i-r)),Math.round(this.options.extent*(l.y*i-n))]],tags:c?G(l):this.points[l.index].properties},f=void 0;c?f=l.id:this.options.generateId?f=l.index:this.points[l.index].id&&(f=this.points[l.index].id),void 0!==f&&(u.id=f),a.features.push(u)}},U.prototype._limitZoom=function(t){return Math.max(this.options.minZoom,Math.min(t,this.options.maxZoom+1))},U.prototype._cluster=function(t,e){for(var r=[],n=this.options,i=n.radius,a=n.extent,o=n.reduce,s=i/(a*Math.pow(2,e)),l=0;l<t.length;l++){var c=t[l];if(!(c.zoom<=e)){c.zoom=e;for(var u=this.trees[e+1],f=u.within(c.x,c.y,s),h=c.numPoints||1,p=c.x*h,d=c.y*h,m=o&&h>1?this._map(c,!0):null,g=(l<<5)+(e+1)+this.points.length,v=0,y=f;v<y.length;v+=1){var x=y[v],b=u.points[x];if(!(b.zoom<=e)){b.zoom=e;var _=b.numPoints||1;p+=b.x*_,d+=b.y*_,h+=_,b.parentId=g,o&&(m||(m=this._map(c,!0)),o(m,this._map(b)))}}1===h?r.push(c):(c.parentId=g,r.push(V(p/h,d/h,g,h,m)))}}return r},U.prototype._getOriginId=function(t){return t-this.points.length>>5},U.prototype._getOriginZoom=function(t){return(t-this.points.length)%32},U.prototype._map=function(t,e){if(t.numPoints)return e?X({},t.properties):t.properties;var r=this.points[t.index].properties,n=this.options.map(r);return e&&n===r?X({},n):n},_t.prototype.options={maxZoom:14,indexMaxZoom:5,indexMaxPoints:1e5,tolerance:3,extent:4096,buffer:64,lineMetrics:!1,promoteId:null,generateId:!1,debug:0},_t.prototype.splitTile=function(t,e,r,n,i,a,o){for(var s=[t,e,r,n],l=this.options,c=l.debug;s.length;){n=s.pop(),r=s.pop(),e=s.pop(),t=s.pop();var u=1<<e,f=wt(e,r,n),h=this.tiles[f];if(!h&&(c>1&&console.time(\\\"creation\\\"),h=this.tiles[f]=yt(t,e,r,n,l),this.tileCoords.push({z:e,x:r,y:n}),c)){c>1&&(console.log(\\\"tile z%d-%d-%d (features: %d, points: %d, simplified: %d)\\\",e,r,n,h.numFeatures,h.numPoints,h.numSimplified),console.timeEnd(\\\"creation\\\"));var p=\\\"z\\\"+e;this.stats[p]=(this.stats[p]||0)+1,this.total++}if(h.source=t,i){if(e===l.maxZoom||e===i)continue;var d=1<<i-e;if(r!==Math.floor(a/d)||n!==Math.floor(o/d))continue}else if(e===l.indexMaxZoom||h.numPoints<=l.indexMaxPoints)continue;if(h.source=null,0!==t.length){c>1&&console.time(\\\"clipping\\\");var m,g,v,y,x,b,_=.5*l.buffer/l.extent,w=.5-_,T=.5+_,k=1+_;m=g=v=y=null,x=ot(t,u,r-_,r+T,0,h.minX,h.maxX,l),b=ot(t,u,r+w,r+k,0,h.minX,h.maxX,l),t=null,x&&(m=ot(x,u,n-_,n+T,1,h.minY,h.maxY,l),g=ot(x,u,n+w,n+k,1,h.minY,h.maxY,l),x=null),b&&(v=ot(b,u,n-_,n+T,1,h.minY,h.maxY,l),y=ot(b,u,n+w,n+k,1,h.minY,h.maxY,l),b=null),c>1&&console.timeEnd(\\\"clipping\\\"),s.push(m||[],e+1,2*r,2*n),s.push(g||[],e+1,2*r,2*n+1),s.push(v||[],e+1,2*r+1,2*n),s.push(y||[],e+1,2*r+1,2*n+1)}}},_t.prototype.getTile=function(t,e,r){var n=this.options,i=n.extent,a=n.debug;if(t<0||t>24)return null;var o=1<<t,s=wt(t,e=(e%o+o)%o,r);if(this.tiles[s])return gt(this.tiles[s],i);a>1&&console.log(\\\"drilling down to z%d-%d-%d\\\",t,e,r);for(var l,c=t,u=e,f=r;!l&&c>0;)c--,u=Math.floor(u/2),f=Math.floor(f/2),l=this.tiles[wt(c,u,f)];return l&&l.source?(a>1&&console.log(\\\"found parent tile z%d-%d-%d\\\",c,u,f),a>1&&console.time(\\\"drilling down\\\"),this.splitTile(l.source,c,u,f,t,e,r),a>1&&console.timeEnd(\\\"drilling down\\\"),this.tiles[s]?gt(this.tiles[s],i):null):null};var kt=function(e){function r(t,r,n,i){e.call(this,t,r,n,Tt),i&&(this.loadGeoJSON=i)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.loadData=function(t,e){this._pendingCallback&&this._pendingCallback(null,{abandoned:!0}),this._pendingCallback=e,this._pendingLoadDataParams=t,this._state&&\\\"Idle\\\"!==this._state?this._state=\\\"NeedsLoadData\\\":(this._state=\\\"Coalescing\\\",this._loadData())},r.prototype._loadData=function(){var e=this;if(this._pendingCallback&&this._pendingLoadDataParams){var r=this._pendingCallback,n=this._pendingLoadDataParams;delete this._pendingCallback,delete this._pendingLoadDataParams;var i=!!(n&&n.request&&n.request.collectResourceTiming)&&new t.RequestPerformance(n.request);this.loadGeoJSON(n,(function(a,o){if(a||!o)return r(a);if(\\\"object\\\"!=typeof o)return r(new Error(\\\"Input data given to '\\\"+n.source+\\\"' is not a valid GeoJSON object.\\\"));f(o,!0);try{e._geoJSONIndex=n.cluster?new U(function(e){var r=e.superclusterOptions,n=e.clusterProperties;if(!n||!r)return r;for(var i={},a={},o={accumulated:null,zoom:0},s={properties:null},l=Object.keys(n),c=0,u=l;c<u.length;c+=1){var f=u[c],h=n[f],p=h[0],d=h[1],m=t.createExpression(d),g=t.createExpression(\\\"string\\\"==typeof p?[p,[\\\"accumulated\\\"],[\\\"get\\\",f]]:p);i[f]=m.value,a[f]=g.value}return r.map=function(t){s.properties=t;for(var e={},r=0,n=l;r<n.length;r+=1){var a=n[r];e[a]=i[a].evaluate(o,s)}return e},r.reduce=function(t,e){s.properties=e;for(var r=0,n=l;r<n.length;r+=1){var i=n[r];o.accumulated=t[i],t[i]=a[i].evaluate(o,s)}},r}(n)).load(o.features):function(t,e){return new _t(t,e)}(o,n.geojsonVtOptions)}catch(a){return r(a)}e.loaded={};var s={};if(i){var l=i.finish();l&&(s.resourceTiming={},s.resourceTiming[n.source]=JSON.parse(JSON.stringify(l)))}r(null,s)}))}},r.prototype.coalesce=function(){\\\"Coalescing\\\"===this._state?this._state=\\\"Idle\\\":\\\"NeedsLoadData\\\"===this._state&&(this._state=\\\"Coalescing\\\",this._loadData())},r.prototype.reloadTile=function(t,r){var n=this.loaded,i=t.uid;return n&&n[i]?e.prototype.reloadTile.call(this,t,r):this.loadTile(t,r)},r.prototype.loadGeoJSON=function(e,r){if(e.request)t.getJSON(e.request,r);else{if(\\\"string\\\"!=typeof e.data)return r(new Error(\\\"Input data given to '\\\"+e.source+\\\"' is not a valid GeoJSON object.\\\"));try{return r(null,JSON.parse(e.data))}catch(t){return r(new Error(\\\"Input data given to '\\\"+e.source+\\\"' is not a valid GeoJSON object.\\\"))}}},r.prototype.removeSource=function(t,e){this._pendingCallback&&this._pendingCallback(null,{abandoned:!0}),e()},r.prototype.getClusterExpansionZoom=function(t,e){try{e(null,this._geoJSONIndex.getClusterExpansionZoom(t.clusterId))}catch(t){e(t)}},r.prototype.getClusterChildren=function(t,e){try{e(null,this._geoJSONIndex.getChildren(t.clusterId))}catch(t){e(t)}},r.prototype.getClusterLeaves=function(t,e){try{e(null,this._geoJSONIndex.getLeaves(t.clusterId,t.limit,t.offset))}catch(t){e(t)}},r}(l);var Mt=function(e){var r=this;this.self=e,this.actor=new t.Actor(e,this),this.layerIndexes={},this.availableImages={},this.workerSourceTypes={vector:l,geojson:kt},this.workerSources={},this.demWorkerSources={},this.self.registerWorkerSource=function(t,e){if(r.workerSourceTypes[t])throw new Error('Worker source with name \\\"'+t+'\\\" already 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Uint8Array(e.data.buffer)),!0;return!1}r.suppressClick=function(){t.window.addEventListener(\\\"click\\\",u,!0),t.window.setTimeout((function(){t.window.removeEventListener(\\\"click\\\",u,!0)}),0)},r.mousePos=function(e,r){var n=e.getBoundingClientRect();return new t.Point(r.clientX-n.left-e.clientLeft,r.clientY-n.top-e.clientTop)},r.touchPos=function(e,r){for(var n=e.getBoundingClientRect(),i=[],a=0;a<r.length;a++)i.push(new t.Point(r[a].clientX-n.left-e.clientLeft,r[a].clientY-n.top-e.clientTop));return i},r.mouseButton=function(e){return void 0!==t.window.InstallTrigger&&2===e.button&&e.ctrlKey&&t.window.navigator.platform.toUpperCase().indexOf(\\\"MAC\\\")>=0?0:e.button},r.remove=function(t){t.parentNode&&t.parentNode.removeChild(t)};var h=function(e){function r(){e.call(this),this.images={},this.updatedImages={},this.callbackDispatchedThisFrame={},this.loaded=!1,this.requestors=[],this.patterns={},this.atlasImage=new t.RGBAImage({width:1,height:1}),this.dirty=!0}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.isLoaded=function(){return this.loaded},r.prototype.setLoaded=function(t){if(this.loaded!==t&&(this.loaded=t,t)){for(var e=0,r=this.requestors;e<r.length;e+=1){var n=r[e],i=n.ids,a=n.callback;this._notify(i,a)}this.requestors=[]}},r.prototype.getImage=function(t){return this.images[t]},r.prototype.addImage=function(t,e){this._validate(t,e)&&(this.images[t]=e)},r.prototype._validate=function(e,r){var n=!0;return this._validateStretch(r.stretchX,r.data&&r.data.width)||(this.fire(new t.ErrorEvent(new Error('Image \\\"'+e+'\\\" has invalid \\\"stretchX\\\" value'))),n=!1),this._validateStretch(r.stretchY,r.data&&r.data.height)||(this.fire(new t.ErrorEvent(new Error('Image \\\"'+e+'\\\" has invalid \\\"stretchY\\\" value'))),n=!1),this._validateContent(r.content,r)||(this.fire(new t.ErrorEvent(new Error('Image \\\"'+e+'\\\" has invalid \\\"content\\\" 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a=i[n];this.images[a]||(r=!1)}this.isLoaded()||r?this._notify(t,e):this.requestors.push({ids:t,callback:e})},r.prototype._notify=function(e,r){for(var n={},i=0,a=e;i<a.length;i+=1){var o=a[i];this.images[o]||this.fire(new t.Event(\\\"styleimagemissing\\\",{id:o}));var s=this.images[o];s?n[o]={data:s.data.clone(),pixelRatio:s.pixelRatio,sdf:s.sdf,version:s.version,stretchX:s.stretchX,stretchY:s.stretchY,content:s.content,hasRenderCallback:Boolean(s.userImage&&s.userImage.render)}:t.warnOnce('Image \\\"'+o+'\\\" could not be loaded. Please make sure you have added the image with map.addImage() or a \\\"sprite\\\" property in your style. You can provide missing images by listening for the \\\"styleimagemissing\\\" map event.')}r(null,n)},r.prototype.getPixelSize=function(){var t=this.atlasImage;return{width:t.width,height:t.height}},r.prototype.getPattern=function(e){var r=this.patterns[e],n=this.getImage(e);if(!n)return null;if(r&&r.position.version===n.version)return r.position;if(r)r.position.version=n.version;else{var i={w:n.data.width+2,h:n.data.height+2,x:0,y:0},a=new t.ImagePosition(i,n);this.patterns[e]={bin:i,position:a}}return this._updatePatternAtlas(),this.patterns[e].position},r.prototype.bind=function(e){var r=e.gl;this.atlasTexture?this.dirty&&(this.atlasTexture.update(this.atlasImage),this.dirty=!1):this.atlasTexture=new t.Texture(e,this.atlasImage,r.RGBA),this.atlasTexture.bind(r.LINEAR,r.CLAMP_TO_EDGE)},r.prototype._updatePatternAtlas=function(){var e=[];for(var r in this.patterns)e.push(this.patterns[r].bin);var n=t.potpack(e),i=n.w,a=n.h,o=this.atlasImage;for(var s in o.resize({width:i||1,height:a||1}),this.patterns){var l=this.patterns[s].bin,c=l.x+1,u=l.y+1,f=this.images[s].data,h=f.width,p=f.height;t.RGBAImage.copy(f,o,{x:0,y:0},{x:c,y:u},{width:h,height:p}),t.RGBAImage.copy(f,o,{x:0,y:p-1},{x:c,y:u-1},{width:h,height:1}),t.RGBAImage.copy(f,o,{x:0,y:0},{x:c,y:u+p},{width:h,height:1}),t.RGBAImage.copy(f,o,{x:h-1,y:0},{x:c-1,y:u},{width:1,height:p}),t.RGBAImage.copy(f,o,{x:0,y:0},{x:c+h,y:u},{width:1,height:p})}this.dirty=!0},r.prototype.beginFrame=function(){this.callbackDispatchedThisFrame={}},r.prototype.dispatchRenderCallbacks=function(t){for(var e=0,r=t;e<r.length;e+=1){var n=r[e];if(!this.callbackDispatchedThisFrame[n]){this.callbackDispatchedThisFrame[n]=!0;var i=this.images[n];f(i)&&this.updateImage(n,i)}}},r}(t.Evented);var p=g,d=g,m=1e20;function g(t,e,r,n,i,a){this.fontSize=t||24,this.buffer=void 0===e?3:e,this.cutoff=n||.25,this.fontFamily=i||\\\"sans-serif\\\",this.fontWeight=a||\\\"normal\\\",this.radius=r||8;var o=this.size=this.fontSize+2*this.buffer;this.canvas=document.createElement(\\\"canvas\\\"),this.canvas.width=this.canvas.height=o,this.ctx=this.canvas.getContext(\\\"2d\\\"),this.ctx.font=this.fontWeight+\\\" \\\"+this.fontSize+\\\"px \\\"+this.fontFamily,this.ctx.textBaseline=\\\"middle\\\",this.ctx.fillStyle=\\\"black\\\",this.gridOuter=new Float64Array(o*o),this.gridInner=new Float64Array(o*o),this.f=new Float64Array(o),this.d=new Float64Array(o),this.z=new Float64Array(o+1),this.v=new Int16Array(o),this.middle=Math.round(o/2*(navigator.userAgent.indexOf(\\\"Gecko/\\\")>=0?1.2:1))}function v(t,e,r,n,i,a,o){for(var s=0;s<e;s++){for(var l=0;l<r;l++)n[l]=t[l*e+s];for(y(n,i,a,o,r),l=0;l<r;l++)t[l*e+s]=i[l]}for(l=0;l<r;l++){for(s=0;s<e;s++)n[s]=t[l*e+s];for(y(n,i,a,o,e),s=0;s<e;s++)t[l*e+s]=Math.sqrt(i[s])}}function y(t,e,r,n,i){r[0]=0,n[0]=-m,n[1]=+m;for(var a=1,o=0;a<i;a++){for(var s=(t[a]+a*a-(t[r[o]]+r[o]*r[o]))/(2*a-2*r[o]);s<=n[o];)o--,s=(t[a]+a*a-(t[r[o]]+r[o]*r[o]))/(2*a-2*r[o]);r[++o]=a,n[o]=s,n[o+1]=+m}for(a=0,o=0;a<i;a++){for(;n[o+1]<a;)o++;e[a]=(a-r[o])*(a-r[o])+t[r[o]]}}g.prototype.draw=function(t){this.ctx.clearRect(0,0,this.size,this.size),this.ctx.fillText(t,this.buffer,this.middle);for(var e=this.ctx.getImageData(0,0,this.size,this.size),r=new Uint8ClampedArray(this.size*this.size),n=0;n<this.size*this.size;n++){var i=e.data[4*n+3]/255;this.gridOuter[n]=1===i?0:0===i?m:Math.pow(Math.max(0,.5-i),2),this.gridInner[n]=1===i?m:0===i?0:Math.pow(Math.max(0,i-.5),2)}for(v(this.gridOuter,this.size,this.size,this.f,this.d,this.v,this.z),v(this.gridInner,this.size,this.size,this.f,this.d,this.v,this.z),n=0;n<this.size*this.size;n++){var a=this.gridOuter[n]-this.gridInner[n];r[n]=Math.max(0,Math.min(255,Math.round(255-255*(a/this.radius+this.cutoff))))}return r},p.default=d;var x=function(t,e){this.requestManager=t,this.localIdeographFontFamily=e,this.entries={}};x.prototype.setURL=function(t){this.url=t},x.prototype.getGlyphs=function(e,r){var n=this,i=[];for(var a in e)for(var o=0,s=e[a];o<s.length;o+=1){var l=s[o];i.push({stack:a,id:l})}t.asyncAll(i,(function(t,e){var r=t.stack,i=t.id,a=n.entries[r];a||(a=n.entries[r]={glyphs:{},requests:{},ranges:{}});var o=a.glyphs[i];if(void 0===o){if(o=n._tinySDF(a,r,i))return a.glyphs[i]=o,void e(null,{stack:r,id:i,glyph:o});var s=Math.floor(i/256);if(256*s>65535)e(new Error(\\\"glyphs > 65535 not supported\\\"));else if(a.ranges[s])e(null,{stack:r,id:i,glyph:o});else{var l=a.requests[s];l||(l=a.requests[s]=[],x.loadGlyphRange(r,s,n.url,n.requestManager,(function(t,e){if(e){for(var r in e)n._doesCharSupportLocalGlyph(+r)||(a.glyphs[+r]=e[+r]);a.ranges[s]=!0}for(var i=0,o=l;i<o.length;i+=1){(0,o[i])(t,e)}delete a.requests[s]}))),l.push((function(t,n){t?e(t):n&&e(null,{stack:r,id:i,glyph:n[i]||null})}))}}else e(null,{stack:r,id:i,glyph:o})}),(function(t,e){if(t)r(t);else if(e){for(var n={},i=0,a=e;i<a.length;i+=1){var o=a[i],s=o.stack,l=o.id,c=o.glyph;(n[s]||(n[s]={}))[l]=c&&{id:c.id,bitmap:c.bitmap.clone(),metrics:c.metrics}}r(null,n)}}))},x.prototype._doesCharSupportLocalGlyph=function(e){return!!this.localIdeographFontFamily&&(t.isChar[\\\"CJK Unified Ideographs\\\"](e)||t.isChar[\\\"Hangul Syllables\\\"](e)||t.isChar.Hiragana(e)||t.isChar.Katakana(e))},x.prototype._tinySDF=function(e,r,n){var i=this.localIdeographFontFamily;if(i&&this._doesCharSupportLocalGlyph(n)){var a=e.tinySDF;if(!a){var o=\\\"400\\\";/bold/i.test(r)?o=\\\"900\\\":/medium/i.test(r)?o=\\\"500\\\":/light/i.test(r)&&(o=\\\"200\\\"),a=e.tinySDF=new x.TinySDF(24,3,8,.25,i,o)}return{id:n,bitmap:new t.AlphaImage({width:30,height:30},a.draw(String.fromCharCode(n))),metrics:{width:24,height:24,left:0,top:-8,advance:24}}}},x.loadGlyphRange=function(e,r,n,i,a){var o=256*r,s=o+255,l=i.transformRequest(i.normalizeGlyphsURL(n).replace(\\\"{fontstack}\\\",e).replace(\\\"{range}\\\",o+\\\"-\\\"+s),t.ResourceType.Glyphs);t.getArrayBuffer(l,(function(e,r){if(e)a(e);else if(r){for(var n={},i=0,o=t.parseGlyphPBF(r);i<o.length;i+=1){var s=o[i];n[s.id]=s}a(null,n)}}))},x.TinySDF=p;var b=function(){this.specification=t.styleSpec.light.position};b.prototype.possiblyEvaluate=function(e,r){return t.sphericalToCartesian(e.expression.evaluate(r))},b.prototype.interpolate=function(e,r,n){return{x:t.number(e.x,r.x,n),y:t.number(e.y,r.y,n),z:t.number(e.z,r.z,n)}};var _=new t.Properties({anchor:new t.DataConstantProperty(t.styleSpec.light.anchor),position:new b,color:new t.DataConstantProperty(t.styleSpec.light.color),intensity:new t.DataConstantProperty(t.styleSpec.light.intensity)}),w=function(e){function r(r){e.call(this),this._transitionable=new t.Transitionable(_),this.setLight(r),this._transitioning=this._transitionable.untransitioned()}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getLight=function(){return this._transitionable.serialize()},r.prototype.setLight=function(e,r){if(void 0===r&&(r={}),!this._validate(t.validateLight,e,r))for(var n in e){var i=e[n];t.endsWith(n,\\\"-transition\\\")?this._transitionable.setTransition(n.slice(0,-\\\"-transition\\\".length),i):this._transitionable.setValue(n,i)}},r.prototype.updateTransitions=function(t){this._transitioning=this._transitionable.transitioned(t,this._transitioning)},r.prototype.hasTransition=function(){return this._transitioning.hasTransition()},r.prototype.recalculate=function(t){this.properties=this._transitioning.possiblyEvaluate(t)},r.prototype._validate=function(e,r,n){return(!n||!1!==n.validate)&&t.emitValidationErrors(this,e.call(t.validateStyle,t.extend({value:r,style:{glyphs:!0,sprite:!0},styleSpec:t.styleSpec})))},r}(t.Evented),T=function(t,e){this.width=t,this.height=e,this.nextRow=0,this.data=new Uint8Array(this.width*this.height),this.dashEntry={}};T.prototype.getDash=function(t,e){var r=t.join(\\\",\\\")+String(e);return this.dashEntry[r]||(this.dashEntry[r]=this.addDash(t,e)),this.dashEntry[r]},T.prototype.getDashRanges=function(t,e,r){var n=[],i=t.length%2==1?-t[t.length-1]*r:0,a=t[0]*r,o=!0;n.push({left:i,right:a,isDash:o,zeroLength:0===t[0]});for(var s=t[0],l=1;l<t.length;l++){o=!o;var c=t[l];i=s*r,a=(s+=c)*r,n.push({left:i,right:a,isDash:o,zeroLength:0===c})}return n},T.prototype.addRoundDash=function(t,e,r){for(var n=e/2,i=-r;i<=r;i++)for(var a=this.nextRow+r+i,o=this.width*a,s=0,l=t[s],c=0;c<this.width;c++){c/l.right>1&&(l=t[++s]);var u=Math.abs(c-l.left),f=Math.abs(c-l.right),h=Math.min(u,f),p=void 0,d=i/r*(n+1);if(l.isDash){var m=n-Math.abs(d);p=Math.sqrt(h*h+m*m)}else p=n-Math.sqrt(h*h+d*d);this.data[o+c]=Math.max(0,Math.min(255,p+128))}},T.prototype.addRegularDash=function(t){for(var e=t.length-1;e>=0;--e){var r=t[e],n=t[e+1];r.zeroLength?t.splice(e,1):n&&n.isDash===r.isDash&&(n.left=r.left,t.splice(e,1))}var i=t[0],a=t[t.length-1];i.isDash===a.isDash&&(i.left=a.left-this.width,a.right=i.right+this.width);for(var o=this.width*this.nextRow,s=0,l=t[s],c=0;c<this.width;c++){c/l.right>1&&(l=t[++s]);var u=Math.abs(c-l.left),f=Math.abs(c-l.right),h=Math.min(u,f),p=l.isDash?h:-h;this.data[o+c]=Math.max(0,Math.min(255,p+128))}},T.prototype.addDash=function(e,r){var n=r?7:0,i=2*n+1;if(this.nextRow+i>this.height)return t.warnOnce(\\\"LineAtlas out of space\\\"),null;for(var a=0,o=0;o<e.length;o++)a+=e[o];if(0!==a){var s=this.width/a,l=this.getDashRanges(e,this.width,s);r?this.addRoundDash(l,s,n):this.addRegularDash(l)}var c={y:(this.nextRow+n+.5)/this.height,height:2*n/this.height,width:a};return this.nextRow+=i,this.dirty=!0,c},T.prototype.bind=function(t){var e=t.gl;this.texture?(e.bindTexture(e.TEXTURE_2D,this.texture),this.dirty&&(this.dirty=!1,e.texSubImage2D(e.TEXTURE_2D,0,0,0,this.width,this.height,e.ALPHA,e.UNSIGNED_BYTE,this.data))):(this.texture=e.createTexture(),e.bindTexture(e.TEXTURE_2D,this.texture),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_S,e.REPEAT),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_T,e.REPEAT),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,e.LINEAR),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,e.LINEAR),e.texImage2D(e.TEXTURE_2D,0,e.ALPHA,this.width,this.height,0,e.ALPHA,e.UNSIGNED_BYTE,this.data))};var k=function e(r,n){this.workerPool=r,this.actors=[],this.currentActor=0,this.id=t.uniqueId();for(var i=this.workerPool.acquire(this.id),a=0;a<i.length;a++){var o=i[a],s=new e.Actor(o,n,this.id);s.name=\\\"Worker \\\"+a,this.actors.push(s)}};function M(e,r,n){var i=function(i,a){if(i)return n(i);if(a){var o=t.pick(t.extend(a,e),[\\\"tiles\\\",\\\"minzoom\\\",\\\"maxzoom\\\",\\\"attribution\\\",\\\"mapbox_logo\\\",\\\"bounds\\\",\\\"scheme\\\",\\\"tileSize\\\",\\\"encoding\\\"]);a.vector_layers&&(o.vectorLayers=a.vector_layers,o.vectorLayerIds=o.vectorLayers.map((function(t){return t.id}))),o.tiles=r.canonicalizeTileset(o,e.url),n(null,o)}};return e.url?t.getJSON(r.transformRequest(r.normalizeSourceURL(e.url),t.ResourceType.Source),i):t.browser.frame((function(){return i(null,e)}))}k.prototype.broadcast=function(e,r,n){n=n||function(){},t.asyncAll(this.actors,(function(t,n){t.send(e,r,n)}),n)},k.prototype.getActor=function(){return this.currentActor=(this.currentActor+1)%this.actors.length,this.actors[this.currentActor]},k.prototype.remove=function(){this.actors.forEach((function(t){t.remove()})),this.actors=[],this.workerPool.release(this.id)},k.Actor=t.Actor;var A=function(e,r,n){this.bounds=t.LngLatBounds.convert(this.validateBounds(e)),this.minzoom=r||0,this.maxzoom=n||24};A.prototype.validateBounds=function(t){return Array.isArray(t)&&4===t.length?[Math.max(-180,t[0]),Math.max(-90,t[1]),Math.min(180,t[2]),Math.min(90,t[3])]:[-180,-90,180,90]},A.prototype.contains=function(e){var r=Math.pow(2,e.z),n=Math.floor(t.mercatorXfromLng(this.bounds.getWest())*r),i=Math.floor(t.mercatorYfromLat(this.bounds.getNorth())*r),a=Math.ceil(t.mercatorXfromLng(this.bounds.getEast())*r),o=Math.ceil(t.mercatorYfromLat(this.bounds.getSouth())*r);return e.x>=n&&e.x<a&&e.y>=i&&e.y<o};var S=function(e){function r(r,n,i,a){if(e.call(this),this.id=r,this.dispatcher=i,this.type=\\\"vector\\\",this.minzoom=0,this.maxzoom=22,this.scheme=\\\"xyz\\\",this.tileSize=512,this.reparseOverscaled=!0,this.isTileClipped=!0,this._loaded=!1,t.extend(this,t.pick(n,[\\\"url\\\",\\\"scheme\\\",\\\"tileSize\\\",\\\"promoteId\\\"])),this._options=t.extend({type:\\\"vector\\\"},n),this._collectResourceTiming=n.collectResourceTiming,512!==this.tileSize)throw new Error(\\\"vector tile sources must have a tileSize of 512\\\");this.setEventedParent(a)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1,this.fire(new t.Event(\\\"dataloading\\\",{dataType:\\\"source\\\"})),this._tileJSONRequest=M(this._options,this.map._requestManager,(function(r,n){e._tileJSONRequest=null,e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(t.extend(e,n),n.bounds&&(e.tileBounds=new A(n.bounds,e.minzoom,e.maxzoom)),t.postTurnstileEvent(n.tiles,e.map._requestManager._customAccessToken),t.postMapLoadEvent(n.tiles,e.map._getMapId(),e.map._requestManager._skuToken,e.map._requestManager._customAccessToken),e.fire(new t.Event(\\\"data\\\",{dataType:\\\"source\\\",sourceDataType:\\\"metadata\\\"})),e.fire(new t.Event(\\\"data\\\",{dataType:\\\"source\\\",sourceDataType:\\\"content\\\"})))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.hasTile=function(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},r.prototype.serialize=function(){return t.extend({},this._options)},r.prototype.loadTile=function(e,r){var n=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme)),i={request:this.map._requestManager.transformRequest(n,t.ResourceType.Tile),uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,tileSize:this.tileSize*e.tileID.overscaleFactor(),type:this.type,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};function a(n,i){return delete e.request,e.aborted?r(null):n&&404!==n.status?r(n):(i&&i.resourceTiming&&(e.resourceTiming=i.resourceTiming),this.map._refreshExpiredTiles&&i&&e.setExpiryData(i),e.loadVectorData(i,this.map.painter),t.cacheEntryPossiblyAdded(this.dispatcher),r(null),void(e.reloadCallback&&(this.loadTile(e,e.reloadCallback),e.reloadCallback=null)))}i.request.collectResourceTiming=this._collectResourceTiming,e.actor&&\\\"expired\\\"!==e.state?\\\"loading\\\"===e.state?e.reloadCallback=r:e.request=e.actor.send(\\\"reloadTile\\\",i,a.bind(this)):(e.actor=this.dispatcher.getActor(),e.request=e.actor.send(\\\"loadTile\\\",i,a.bind(this)))},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.actor&&t.actor.send(\\\"abortTile\\\",{uid:t.uid,type:this.type,source:this.id},void 0)},r.prototype.unloadTile=function(t){t.unloadVectorData(),t.actor&&t.actor.send(\\\"removeTile\\\",{uid:t.uid,type:this.type,source:this.id},void 0)},r.prototype.hasTransition=function(){return!1},r}(t.Evented),E=function(e){function r(r,n,i,a){e.call(this),this.id=r,this.dispatcher=i,this.setEventedParent(a),this.type=\\\"raster\\\",this.minzoom=0,this.maxzoom=22,this.roundZoom=!0,this.scheme=\\\"xyz\\\",this.tileSize=512,this._loaded=!1,this._options=t.extend({type:\\\"raster\\\"},n),t.extend(this,t.pick(n,[\\\"url\\\",\\\"scheme\\\",\\\"tileSize\\\"]))}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1,this.fire(new t.Event(\\\"dataloading\\\",{dataType:\\\"source\\\"})),this._tileJSONRequest=M(this._options,this.map._requestManager,(function(r,n){e._tileJSONRequest=null,e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(t.extend(e,n),n.bounds&&(e.tileBounds=new A(n.bounds,e.minzoom,e.maxzoom)),t.postTurnstileEvent(n.tiles),t.postMapLoadEvent(n.tiles,e.map._getMapId(),e.map._requestManager._skuToken),e.fire(new t.Event(\\\"data\\\",{dataType:\\\"source\\\",sourceDataType:\\\"metadata\\\"})),e.fire(new t.Event(\\\"data\\\",{dataType:\\\"source\\\",sourceDataType:\\\"content\\\"})))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},r.prototype.serialize=function(){return t.extend({},this._options)},r.prototype.hasTile=function(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)},r.prototype.loadTile=function(e,r){var n=this,i=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme),this.tileSize);e.request=t.getImage(this.map._requestManager.transformRequest(i,t.ResourceType.Tile),(function(i,a){if(delete e.request,e.aborted)e.state=\\\"unloaded\\\",r(null);else if(i)e.state=\\\"errored\\\",r(i);else if(a){n.map._refreshExpiredTiles&&e.setExpiryData(a),delete a.cacheControl,delete a.expires;var o=n.map.painter.context,s=o.gl;e.texture=n.map.painter.getTileTexture(a.width),e.texture?e.texture.update(a,{useMipmap:!0}):(e.texture=new t.Texture(o,a,s.RGBA,{useMipmap:!0}),e.texture.bind(s.LINEAR,s.CLAMP_TO_EDGE,s.LINEAR_MIPMAP_NEAREST),o.extTextureFilterAnisotropic&&s.texParameterf(s.TEXTURE_2D,o.extTextureFilterAnisotropic.TEXTURE_MAX_ANISOTROPY_EXT,o.extTextureFilterAnisotropicMax)),e.state=\\\"loaded\\\",t.cacheEntryPossiblyAdded(n.dispatcher),r(null)}}))},r.prototype.abortTile=function(t,e){t.request&&(t.request.cancel(),delete t.request),e()},r.prototype.unloadTile=function(t,e){t.texture&&this.map.painter.saveTileTexture(t.texture),e()},r.prototype.hasTransition=function(){return!1},r}(t.Evented),L=function(e){function r(r,n,i,a){e.call(this,r,n,i,a),this.type=\\\"raster-dem\\\",this.maxzoom=22,this._options=t.extend({type:\\\"raster-dem\\\"},n),this.encoding=n.encoding||\\\"mapbox\\\"}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.serialize=function(){return{type:\\\"raster-dem\\\",url:this.url,tileSize:this.tileSize,tiles:this.tiles,bounds:this.bounds,encoding:this.encoding}},r.prototype.loadTile=function(e,r){var n=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme),this.tileSize);function i(t,n){t&&(e.state=\\\"errored\\\",r(t)),n&&(e.dem=n,e.needsHillshadePrepare=!0,e.state=\\\"loaded\\\",r(null))}e.request=t.getImage(this.map._requestManager.transformRequest(n,t.ResourceType.Tile),function(n,a){if(delete e.request,e.aborted)e.state=\\\"unloaded\\\",r(null);else if(n)e.state=\\\"errored\\\",r(n);else if(a){this.map._refreshExpiredTiles&&e.setExpiryData(a),delete a.cacheControl,delete a.expires;var o=t.window.ImageBitmap&&a instanceof t.window.ImageBitmap&&t.offscreenCanvasSupported()?a:t.browser.getImageData(a,1),s={uid:e.uid,coord:e.tileID,source:this.id,rawImageData:o,encoding:this.encoding};e.actor&&\\\"expired\\\"!==e.state||(e.actor=this.dispatcher.getActor(),e.actor.send(\\\"loadDEMTile\\\",s,i.bind(this)))}}.bind(this)),e.neighboringTiles=this._getNeighboringTiles(e.tileID)},r.prototype._getNeighboringTiles=function(e){var r=e.canonical,n=Math.pow(2,r.z),i=(r.x-1+n)%n,a=0===r.x?e.wrap-1:e.wrap,o=(r.x+1+n)%n,s=r.x+1===n?e.wrap+1:e.wrap,l={};return l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y).key]={backfilled:!1},r.y>0&&(l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,r.z,r.x,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y-1).key]={backfilled:!1}),r.y+1<n&&(l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y+1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,r.z,r.x,r.y+1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y+1).key]={backfilled:!1}),l},r.prototype.unloadTile=function(t){t.demTexture&&this.map.painter.saveTileTexture(t.demTexture),t.fbo&&(t.fbo.destroy(),delete t.fbo),t.dem&&delete t.dem,delete t.neighboringTiles,t.state=\\\"unloaded\\\",t.actor&&t.actor.send(\\\"removeDEMTile\\\",{uid:t.uid,source:this.id})},r}(E),C=function(e){function r(r,n,i,a){e.call(this),this.id=r,this.type=\\\"geojson\\\",this.minzoom=0,this.maxzoom=18,this.tileSize=512,this.isTileClipped=!0,this.reparseOverscaled=!0,this._removed=!1,this._loaded=!1,this.actor=i.getActor(),this.setEventedParent(a),this._data=n.data,this._options=t.extend({},n),this._collectResourceTiming=n.collectResourceTiming,this._resourceTiming=[],void 0!==n.maxzoom&&(this.maxzoom=n.maxzoom),n.type&&(this.type=n.type),n.attribution&&(this.attribution=n.attribution),this.promoteId=n.promoteId;var o=t.EXTENT/this.tileSize;this.workerOptions=t.extend({source:this.id,cluster:n.cluster||!1,geojsonVtOptions:{buffer:(void 0!==n.buffer?n.buffer:128)*o,tolerance:(void 0!==n.tolerance?n.tolerance:.375)*o,extent:t.EXTENT,maxZoom:this.maxzoom,lineMetrics:n.lineMetrics||!1,generateId:n.generateId||!1},superclusterOptions:{maxZoom:void 0!==n.clusterMaxZoom?Math.min(n.clusterMaxZoom,this.maxzoom-1):this.maxzoom-1,extent:t.EXTENT,radius:(n.clusterRadius||50)*o,log:!1,generateId:n.generateId||!1},clusterProperties:n.clusterProperties},n.workerOptions)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this.fire(new t.Event(\\\"dataloading\\\",{dataType:\\\"source\\\"})),this._updateWorkerData((function(r){if(r)e.fire(new t.ErrorEvent(r));else{var n={dataType:\\\"source\\\",sourceDataType:\\\"metadata\\\"};e._collectResourceTiming&&e._resourceTiming&&e._resourceTiming.length>0&&(n.resourceTiming=e._resourceTiming,e._resourceTiming=[]),e.fire(new t.Event(\\\"data\\\",n))}}))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setData=function(e){var r=this;return this._data=e,this.fire(new t.Event(\\\"dataloading\\\",{dataType:\\\"source\\\"})),this._updateWorkerData((function(e){if(e)r.fire(new t.ErrorEvent(e));else{var n={dataType:\\\"source\\\",sourceDataType:\\\"content\\\"};r._collectResourceTiming&&r._resourceTiming&&r._resourceTiming.length>0&&(n.resourceTiming=r._resourceTiming,r._resourceTiming=[]),r.fire(new t.Event(\\\"data\\\",n))}})),this},r.prototype.getClusterExpansionZoom=function(t,e){return this.actor.send(\\\"geojson.getClusterExpansionZoom\\\",{clusterId:t,source:this.id},e),this},r.prototype.getClusterChildren=function(t,e){return this.actor.send(\\\"geojson.getClusterChildren\\\",{clusterId:t,source:this.id},e),this},r.prototype.getClusterLeaves=function(t,e,r,n){return this.actor.send(\\\"geojson.getClusterLeaves\\\",{source:this.id,clusterId:t,limit:e,offset:r},n),this},r.prototype._updateWorkerData=function(e){var r=this;this._loaded=!1;var n=t.extend({},this.workerOptions),i=this._data;\\\"string\\\"==typeof i?(n.request=this.map._requestManager.transformRequest(t.browser.resolveURL(i),t.ResourceType.Source),n.request.collectResourceTiming=this._collectResourceTiming):n.data=JSON.stringify(i),this.actor.send(this.type+\\\".loadData\\\",n,(function(t,i){r._removed||i&&i.abandoned||(r._loaded=!0,i&&i.resourceTiming&&i.resourceTiming[r.id]&&(r._resourceTiming=i.resourceTiming[r.id].slice(0)),r.actor.send(r.type+\\\".coalesce\\\",{source:n.source},null),e(t))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.loadTile=function(e,r){var n=this,i=e.actor?\\\"reloadTile\\\":\\\"loadTile\\\";e.actor=this.actor;var a={type:this.type,uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,maxZoom:this.maxzoom,tileSize:this.tileSize,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};e.request=this.actor.send(i,a,(function(t,a){return delete e.request,e.unloadVectorData(),e.aborted?r(null):t?r(t):(e.loadVectorData(a,n.map.painter,\\\"reloadTile\\\"===i),r(null))}))},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.aborted=!0},r.prototype.unloadTile=function(t){t.unloadVectorData(),this.actor.send(\\\"removeTile\\\",{uid:t.uid,type:this.type,source:this.id})},r.prototype.onRemove=function(){this._removed=!0,this.actor.send(\\\"removeSource\\\",{type:this.type,source:this.id})},r.prototype.serialize=function(){return t.extend({},this._options,{type:this.type,data:this._data})},r.prototype.hasTransition=function(){return!1},r}(t.Evented),P=t.createLayout([{name:\\\"a_pos\\\",type:\\\"Int16\\\",components:2},{name:\\\"a_texture_pos\\\",type:\\\"Int16\\\",components:2}]),I=function(e){function r(t,r,n,i){e.call(this),this.id=t,this.dispatcher=n,this.coordinates=r.coordinates,this.type=\\\"image\\\",this.minzoom=0,this.maxzoom=22,this.tileSize=512,this.tiles={},this._loaded=!1,this.setEventedParent(i),this.options=r}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(e,r){var n=this;this._loaded=!1,this.fire(new t.Event(\\\"dataloading\\\",{dataType:\\\"source\\\"})),this.url=this.options.url,t.getImage(this.map._requestManager.transformRequest(this.url,t.ResourceType.Image),(function(i,a){n._loaded=!0,i?n.fire(new t.ErrorEvent(i)):a&&(n.image=a,e&&(n.coordinates=e),r&&r(),n._finishLoading())}))},r.prototype.loaded=function(){return this._loaded},r.prototype.updateImage=function(t){var e=this;return this.image&&t.url?(this.options.url=t.url,this.load(t.coordinates,(function(){e.texture=null})),this):this},r.prototype._finishLoading=function(){this.map&&(this.setCoordinates(this.coordinates),this.fire(new t.Event(\\\"data\\\",{dataType:\\\"source\\\",sourceDataType:\\\"metadata\\\"})))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setCoordinates=function(e){var r=this;this.coordinates=e;var n=e.map(t.MercatorCoordinate.fromLngLat);this.tileID=function(e){for(var r=1/0,n=1/0,i=-1/0,a=-1/0,o=0,s=e;o<s.length;o+=1){var l=s[o];r=Math.min(r,l.x),n=Math.min(n,l.y),i=Math.max(i,l.x),a=Math.max(a,l.y)}var c=i-r,u=a-n,f=Math.max(c,u),h=Math.max(0,Math.floor(-Math.log(f)/Math.LN2)),p=Math.pow(2,h);return new t.CanonicalTileID(h,Math.floor((r+i)/2*p),Math.floor((n+a)/2*p))}(n),this.minzoom=this.maxzoom=this.tileID.z;var i=n.map((function(t){return r.tileID.getTilePoint(t)._round()}));return this._boundsArray=new t.StructArrayLayout4i8,this._boundsArray.emplaceBack(i[0].x,i[0].y,0,0),this._boundsArray.emplaceBack(i[1].x,i[1].y,t.EXTENT,0),this._boundsArray.emplaceBack(i[3].x,i[3].y,0,t.EXTENT),this._boundsArray.emplaceBack(i[2].x,i[2].y,t.EXTENT,t.EXTENT),this.boundsBuffer&&(this.boundsBuffer.destroy(),delete this.boundsBuffer),this.fire(new t.Event(\\\"data\\\",{dataType:\\\"source\\\",sourceDataType:\\\"content\\\"})),this},r.prototype.prepare=function(){if(0!==Object.keys(this.tiles).length&&this.image){var e=this.map.painter.context,r=e.gl;for(var n in this.boundsBuffer||(this.boundsBuffer=e.createVertexBuffer(this._boundsArray,P.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture||(this.texture=new t.Texture(e,this.image,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE)),this.tiles){var i=this.tiles[n];\\\"loaded\\\"!==i.state&&(i.state=\\\"loaded\\\",i.texture=this.texture)}}},r.prototype.loadTile=function(t,e){this.tileID&&this.tileID.equals(t.tileID.canonical)?(this.tiles[String(t.tileID.wrap)]=t,t.buckets={},e(null)):(t.state=\\\"errored\\\",e(null))},r.prototype.serialize=function(){return{type:\\\"image\\\",url:this.options.url,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return!1},r}(t.Evented);var O=function(e){function r(t,r,n,i){e.call(this,t,r,n,i),this.roundZoom=!0,this.type=\\\"video\\\",this.options=r}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1;var r=this.options;this.urls=[];for(var n=0,i=r.urls;n<i.length;n+=1){var a=i[n];this.urls.push(this.map._requestManager.transformRequest(a,t.ResourceType.Source).url)}t.getVideo(this.urls,(function(r,n){e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(e.video=n,e.video.loop=!0,e.video.addEventListener(\\\"playing\\\",(function(){e.map.triggerRepaint()})),e.map&&e.video.play(),e._finishLoading())}))},r.prototype.pause=function(){this.video&&this.video.pause()},r.prototype.play=function(){this.video&&this.video.play()},r.prototype.seek=function(e){if(this.video){var r=this.video.seekable;e<r.start(0)||e>r.end(0)?this.fire(new t.ErrorEvent(new t.ValidationError(\\\"sources.\\\"+this.id,null,\\\"Playback for this video can be set only between the \\\"+r.start(0)+\\\" and \\\"+r.end(0)+\\\"-second mark.\\\"))):this.video.currentTime=e}},r.prototype.getVideo=function(){return this.video},r.prototype.onAdd=function(t){this.map||(this.map=t,this.load(),this.video&&(this.video.play(),this.setCoordinates(this.coordinates)))},r.prototype.prepare=function(){if(!(0===Object.keys(this.tiles).length||this.video.readyState<2)){var e=this.map.painter.context,r=e.gl;for(var n in this.boundsBuffer||(this.boundsBuffer=e.createVertexBuffer(this._boundsArray,P.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?this.video.paused||(this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE),r.texSubImage2D(r.TEXTURE_2D,0,0,0,r.RGBA,r.UNSIGNED_BYTE,this.video)):(this.texture=new t.Texture(e,this.video,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE)),this.tiles){var i=this.tiles[n];\\\"loaded\\\"!==i.state&&(i.state=\\\"loaded\\\",i.texture=this.texture)}}},r.prototype.serialize=function(){return{type:\\\"video\\\",urls:this.urls,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this.video&&!this.video.paused},r}(I),z=function(e){function r(r,n,i,a){e.call(this,r,n,i,a),n.coordinates?Array.isArray(n.coordinates)&&4===n.coordinates.length&&!n.coordinates.some((function(t){return!Array.isArray(t)||2!==t.length||t.some((function(t){return\\\"number\\\"!=typeof t}))}))||this.fire(new t.ErrorEvent(new t.ValidationError(\\\"sources.\\\"+r,null,'\\\"coordinates\\\" property must be an array of 4 longitude/latitude array pairs'))):this.fire(new t.ErrorEvent(new t.ValidationError(\\\"sources.\\\"+r,null,'missing required property \\\"coordinates\\\"'))),n.animate&&\\\"boolean\\\"!=typeof n.animate&&this.fire(new t.ErrorEvent(new t.ValidationError(\\\"sources.\\\"+r,null,'optional \\\"animate\\\" property must be a boolean value'))),n.canvas?\\\"string\\\"==typeof n.canvas||n.canvas instanceof t.window.HTMLCanvasElement||this.fire(new t.ErrorEvent(new t.ValidationError(\\\"sources.\\\"+r,null,'\\\"canvas\\\" must be either a string representing the ID of the canvas element from which to read, or an HTMLCanvasElement instance'))):this.fire(new t.ErrorEvent(new t.ValidationError(\\\"sources.\\\"+r,null,'missing required property \\\"canvas\\\"'))),this.options=n,this.animate=void 0===n.animate||n.animate}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){this._loaded=!0,this.canvas||(this.canvas=this.options.canvas instanceof t.window.HTMLCanvasElement?this.options.canvas:t.window.document.getElementById(this.options.canvas)),this.width=this.canvas.width,this.height=this.canvas.height,this._hasInvalidDimensions()?this.fire(new t.ErrorEvent(new Error(\\\"Canvas dimensions cannot be less than or equal to zero.\\\"))):(this.play=function(){this._playing=!0,this.map.triggerRepaint()},this.pause=function(){this._playing&&(this.prepare(),this._playing=!1)},this._finishLoading())},r.prototype.getCanvas=function(){return this.canvas},r.prototype.onAdd=function(t){this.map=t,this.load(),this.canvas&&this.animate&&this.play()},r.prototype.onRemove=function(){this.pause()},r.prototype.prepare=function(){var e=!1;if(this.canvas.width!==this.width&&(this.width=this.canvas.width,e=!0),this.canvas.height!==this.height&&(this.height=this.canvas.height,e=!0),!this._hasInvalidDimensions()&&0!==Object.keys(this.tiles).length){var r=this.map.painter.context,n=r.gl;for(var i in this.boundsBuffer||(this.boundsBuffer=r.createVertexBuffer(this._boundsArray,P.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?(e||this._playing)&&this.texture.update(this.canvas,{premultiply:!0}):this.texture=new t.Texture(r,this.canvas,n.RGBA,{premultiply:!0}),this.tiles){var a=this.tiles[i];\\\"loaded\\\"!==a.state&&(a.state=\\\"loaded\\\",a.texture=this.texture)}}},r.prototype.serialize=function(){return{type:\\\"canvas\\\",coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this._playing},r.prototype._hasInvalidDimensions=function(){for(var t=0,e=[this.canvas.width,this.canvas.height];t<e.length;t+=1){var r=e[t];if(isNaN(r)||r<=0)return!0}return!1},r}(I),D={vector:S,raster:E,\\\"raster-dem\\\":L,geojson:C,video:O,image:I,canvas:z};function R(e,r){var n=t.identity([]);return t.translate(n,n,[1,1,0]),t.scale(n,n,[.5*e.width,.5*e.height,1]),t.multiply(n,n,e.calculatePosMatrix(r.toUnwrapped()))}function F(t,e,r,n,i,a){var o=function(t,e,r){if(t)for(var n=0,i=t;n<i.length;n+=1){var a=e[i[n]];if(a&&a.source===r&&\\\"fill-extrusion\\\"===a.type)return!0}else for(var o in e){var s=e[o];if(s.source===r&&\\\"fill-extrusion\\\"===s.type)return!0}return!1}(i&&i.layers,e,t.id),s=a.maxPitchScaleFactor(),l=t.tilesIn(n,s,o);l.sort(B);for(var c=[],u=0,f=l;u<f.length;u+=1){var h=f[u];c.push({wrappedTileID:h.tileID.wrapped().key,queryResults:h.tile.queryRenderedFeatures(e,r,t._state,h.queryGeometry,h.cameraQueryGeometry,h.scale,i,a,s,R(t.transform,h.tileID))})}var p=function(t){for(var e={},r={},n=0,i=t;n<i.length;n+=1){var a=i[n],o=a.queryResults,s=a.wrappedTileID,l=r[s]=r[s]||{};for(var c in o)for(var 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r=0;r<this.attributes.length;r++){var n=this.attributes[r],i=e.attributes[n.name];void 0!==i&&t.enableVertexAttribArray(i)}},V.prototype.setVertexAttribPointers=function(t,e,r){for(var n=0;n<this.attributes.length;n++){var i=this.attributes[n],a=e.attributes[i.name];void 0!==a&&t.vertexAttribPointer(a,i.components,t[U[i.type]],!1,this.itemSize,i.offset+this.itemSize*(r||0))}},V.prototype.destroy=function(){var t=this.context.gl;this.buffer&&(t.deleteBuffer(this.buffer),delete this.buffer)};var q=function(t){this.gl=t.gl,this.default=this.getDefault(),this.current=this.default,this.dirty=!1};q.prototype.get=function(){return this.current},q.prototype.set=function(t){},q.prototype.getDefault=function(){return this.default},q.prototype.setDefault=function(){this.set(this.default)};var H=function(e){function r(){e.apply(this,arguments)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getDefault=function(){return 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e=this.gl;e.pixelStorei(e.UNPACK_PREMULTIPLY_ALPHA_WEBGL,t),this.current=t,this.dirty=!1}},e}(q),bt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return!1},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.pixelStorei(e.UNPACK_FLIP_Y_WEBGL,t),this.current=t,this.dirty=!1}},e}(q),_t=function(t){function e(e,r){t.call(this,e),this.context=e,this.parent=r}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return null},e}(q),wt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.setDirty=function(){this.dirty=!0},e.prototype.set=function(t){if(t!==this.current||this.dirty){this.context.bindFramebuffer.set(this.parent);var e=this.gl;e.framebufferTexture2D(e.FRAMEBUFFER,e.COLOR_ATTACHMENT0,e.TEXTURE_2D,t,0),this.current=t,this.dirty=!1}},e}(_t),Tt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.set=function(t){if(t!==this.current||this.dirty){this.context.bindFramebuffer.set(this.parent);var e=this.gl;e.framebufferRenderbuffer(e.FRAMEBUFFER,e.DEPTH_ATTACHMENT,e.RENDERBUFFER,t),this.current=t,this.dirty=!1}},e}(_t),kt=function(t,e,r,n){this.context=t,this.width=e,this.height=r;var i=t.gl,a=this.framebuffer=i.createFramebuffer();this.colorAttachment=new wt(t,a),n&&(this.depthAttachment=new Tt(t,a))};kt.prototype.destroy=function(){var t=this.context.gl,e=this.colorAttachment.get();if(e&&t.deleteTexture(e),this.depthAttachment){var r=this.depthAttachment.get();r&&t.deleteRenderbuffer(r)}t.deleteFramebuffer(this.framebuffer)};var Mt=function(t,e,r){this.func=t,this.mask=e,this.range=r};Mt.ReadOnly=!1,Mt.ReadWrite=!0,Mt.disabled=new Mt(519,Mt.ReadOnly,[0,1]);var At=function(t,e,r,n,i,a){this.test=t,this.ref=e,this.mask=r,this.fail=n,this.depthFail=i,this.pass=a};At.disabled=new At({func:519,mask:0},0,0,7680,7680,7680);var St=function(t,e,r){this.blendFunction=t,this.blendColor=e,this.mask=r};St.disabled=new St(St.Replace=[1,0],t.Color.transparent,[!1,!1,!1,!1]),St.unblended=new St(St.Replace,t.Color.transparent,[!0,!0,!0,!0]),St.alphaBlended=new St([1,771],t.Color.transparent,[!0,!0,!0,!0]);var Et=function(t,e,r){this.enable=t,this.mode=e,this.frontFace=r};Et.disabled=new Et(!1,1029,2305),Et.backCCW=new Et(!0,1029,2305);var Lt=function(t){this.gl=t,this.extVertexArrayObject=this.gl.getExtension(\\\"OES_vertex_array_object\\\"),this.clearColor=new H(this),this.clearDepth=new G(this),this.clearStencil=new Y(this),this.colorMask=new W(this),this.depthMask=new X(this),this.stencilMask=new Z(this),this.stencilFunc=new J(this),this.stencilOp=new K(this),this.stencilTest=new Q(this),this.depthRange=new $(this),this.depthTest=new tt(this),this.depthFunc=new et(this),this.blend=new rt(this),this.blendFunc=new nt(this),this.blendColor=new it(this),this.blendEquation=new at(this),this.cullFace=new ot(this),this.cullFaceSide=new st(this),this.frontFace=new lt(this),this.program=new ct(this),this.activeTexture=new ut(this),this.viewport=new ft(this),this.bindFramebuffer=new ht(this),this.bindRenderbuffer=new pt(this),this.bindTexture=new dt(this),this.bindVertexBuffer=new mt(this),this.bindElementBuffer=new gt(this),this.bindVertexArrayOES=this.extVertexArrayObject&&new vt(this),this.pixelStoreUnpack=new yt(this),this.pixelStoreUnpackPremultiplyAlpha=new xt(this),this.pixelStoreUnpackFlipY=new bt(this),this.extTextureFilterAnisotropic=t.getExtension(\\\"EXT_texture_filter_anisotropic\\\")||t.getExtension(\\\"MOZ_EXT_texture_filter_anisotropic\\\")||t.getExtension(\\\"WEBKIT_EXT_texture_filter_anisotropic\\\"),this.extTextureFilterAnisotropic&&(this.extTextureFilterAnisotropicMax=t.getParameter(this.extTextureFilterAnisotropic.MAX_TEXTURE_MAX_ANISOTROPY_EXT)),this.extTextureHalfFloat=t.getExtension(\\\"OES_texture_half_float\\\"),this.extTextureHalfFloat&&(t.getExtension(\\\"OES_texture_half_float_linear\\\"),this.extRenderToTextureHalfFloat=t.getExtension(\\\"EXT_color_buffer_half_float\\\")),this.extTimerQuery=t.getExtension(\\\"EXT_disjoint_timer_query\\\")};Lt.prototype.setDefault=function(){this.unbindVAO(),this.clearColor.setDefault(),this.clearDepth.setDefault(),this.clearStencil.setDefault(),this.colorMask.setDefault(),this.depthMask.setDefault(),this.stencilMask.setDefault(),this.stencilFunc.setDefault(),this.stencilOp.setDefault(),this.stencilTest.setDefault(),this.depthRange.setDefault(),this.depthTest.setDefault(),this.depthFunc.setDefault(),this.blend.setDefault(),this.blendFunc.setDefault(),this.blendColor.setDefault(),this.blendEquation.setDefault(),this.cullFace.setDefault(),this.cullFaceSide.setDefault(),this.frontFace.setDefault(),this.program.setDefault(),this.activeTexture.setDefault(),this.bindFramebuffer.setDefault(),this.pixelStoreUnpack.setDefault(),this.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.pixelStoreUnpackFlipY.setDefault()},Lt.prototype.setDirty=function(){this.clearColor.dirty=!0,this.clearDepth.dirty=!0,this.clearStencil.dirty=!0,this.colorMask.dirty=!0,this.depthMask.dirty=!0,this.stencilMask.dirty=!0,this.stencilFunc.dirty=!0,this.stencilOp.dirty=!0,this.stencilTest.dirty=!0,this.depthRange.dirty=!0,this.depthTest.dirty=!0,this.depthFunc.dirty=!0,this.blend.dirty=!0,this.blendFunc.dirty=!0,this.blendColor.dirty=!0,this.blendEquation.dirty=!0,this.cullFace.dirty=!0,this.cullFaceSide.dirty=!0,this.frontFace.dirty=!0,this.program.dirty=!0,this.activeTexture.dirty=!0,this.viewport.dirty=!0,this.bindFramebuffer.dirty=!0,this.bindRenderbuffer.dirty=!0,this.bindTexture.dirty=!0,this.bindVertexBuffer.dirty=!0,this.bindElementBuffer.dirty=!0,this.extVertexArrayObject&&(this.bindVertexArrayOES.dirty=!0),this.pixelStoreUnpack.dirty=!0,this.pixelStoreUnpackPremultiplyAlpha.dirty=!0,this.pixelStoreUnpackFlipY.dirty=!0},Lt.prototype.createIndexBuffer=function(t,e){return new j(this,t,e)},Lt.prototype.createVertexBuffer=function(t,e,r){return new V(this,t,e,r)},Lt.prototype.createRenderbuffer=function(t,e,r){var n=this.gl,i=n.createRenderbuffer();return this.bindRenderbuffer.set(i),n.renderbufferStorage(n.RENDERBUFFER,t,e,r),this.bindRenderbuffer.set(null),i},Lt.prototype.createFramebuffer=function(t,e,r){return new kt(this,t,e,r)},Lt.prototype.clear=function(t){var e=t.color,r=t.depth,n=this.gl,i=0;e&&(i|=n.COLOR_BUFFER_BIT,this.clearColor.set(e),this.colorMask.set([!0,!0,!0,!0])),void 0!==r&&(i|=n.DEPTH_BUFFER_BIT,this.depthRange.set([0,1]),this.clearDepth.set(r),this.depthMask.set(!0)),n.clear(i)},Lt.prototype.setCullFace=function(t){!1===t.enable?this.cullFace.set(!1):(this.cullFace.set(!0),this.cullFaceSide.set(t.mode),this.frontFace.set(t.frontFace))},Lt.prototype.setDepthMode=function(t){t.func!==this.gl.ALWAYS||t.mask?(this.depthTest.set(!0),this.depthFunc.set(t.func),this.depthMask.set(t.mask),this.depthRange.set(t.range)):this.depthTest.set(!1)},Lt.prototype.setStencilMode=function(t){t.test.func!==this.gl.ALWAYS||t.mask?(this.stencilTest.set(!0),this.stencilMask.set(t.mask),this.stencilOp.set([t.fail,t.depthFail,t.pass]),this.stencilFunc.set({func:t.test.func,ref:t.ref,mask:t.test.mask})):this.stencilTest.set(!1)},Lt.prototype.setColorMode=function(e){t.deepEqual(e.blendFunction,St.Replace)?this.blend.set(!1):(this.blend.set(!0),this.blendFunc.set(e.blendFunction),this.blendColor.set(e.blendColor)),this.colorMask.set(e.mask)},Lt.prototype.unbindVAO=function(){this.extVertexArrayObject&&this.bindVertexArrayOES.set(null)};var Ct=function(e){function r(r,n,i){var a=this;e.call(this),this.id=r,this.dispatcher=i,this.on(\\\"data\\\",(function(t){\\\"source\\\"===t.dataType&&\\\"metadata\\\"===t.sourceDataType&&(a._sourceLoaded=!0),a._sourceLoaded&&!a._paused&&\\\"source\\\"===t.dataType&&\\\"content\\\"===t.sourceDataType&&(a.reload(),a.transform&&a.update(a.transform))})),this.on(\\\"error\\\",(function(){a._sourceErrored=!0})),this._source=function(e,r,n,i){var a=new D[r.type](e,r,n,i);if(a.id!==e)throw new Error(\\\"Expected Source id to be \\\"+e+\\\" instead of \\\"+a.id);return t.bindAll([\\\"load\\\",\\\"abort\\\",\\\"unload\\\",\\\"serialize\\\",\\\"prepare\\\"],a),a}(r,n,i,this),this._tiles={},this._cache=new N(0,this._unloadTile.bind(this)),this._timers={},this._cacheTimers={},this._maxTileCacheSize=null,this._loadedParentTiles={},this._coveredTiles={},this._state=new t.SourceFeatureState}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.onAdd=function(t){this.map=t,this._maxTileCacheSize=t?t._maxTileCacheSize:null,this._source&&this._source.onAdd&&this._source.onAdd(t)},r.prototype.onRemove=function(t){this._source&&this._source.onRemove&&this._source.onRemove(t)},r.prototype.loaded=function(){if(this._sourceErrored)return!0;if(!this._sourceLoaded)return!1;if(!this._source.loaded())return!1;for(var t in this._tiles){var e=this._tiles[t];if(\\\"loaded\\\"!==e.state&&\\\"errored\\\"!==e.state)return!1}return!0},r.prototype.getSource=function(){return this._source},r.prototype.pause=function(){this._paused=!0},r.prototype.resume=function(){if(this._paused){var t=this._shouldReloadOnResume;this._paused=!1,this._shouldReloadOnResume=!1,t&&this.reload(),this.transform&&this.update(this.transform)}},r.prototype._loadTile=function(t,e){return this._source.loadTile(t,e)},r.prototype._unloadTile=function(t){if(this._source.unloadTile)return this._source.unloadTile(t,(function(){}))},r.prototype._abortTile=function(t){if(this._source.abortTile)return this._source.abortTile(t,(function(){}))},r.prototype.serialize=function(){return this._source.serialize()},r.prototype.prepare=function(t){for(var e in this._source.prepare&&this._source.prepare(),this._state.coalesceChanges(this._tiles,this.map?this.map.painter:null),this._tiles){var r=this._tiles[e];r.upload(t),r.prepare(this.map.style.imageManager)}},r.prototype.getIds=function(){return t.values(this._tiles).map((function(t){return t.tileID})).sort(Pt).map((function(t){return t.key}))},r.prototype.getRenderableIds=function(e){var r=this,n=[];for(var i in this._tiles)this._isIdRenderable(i,e)&&n.push(this._tiles[i]);return e?n.sort((function(e,n){var i=e.tileID,a=n.tileID,o=new t.Point(i.canonical.x,i.canonical.y)._rotate(r.transform.angle),s=new t.Point(a.canonical.x,a.canonical.y)._rotate(r.transform.angle);return i.overscaledZ-a.overscaledZ||s.y-o.y||s.x-o.x})).map((function(t){return t.tileID.key})):n.map((function(t){return t.tileID})).sort(Pt).map((function(t){return t.key}))},r.prototype.hasRenderableParent=function(t){var e=this.findLoadedParent(t,0);return!!e&&this._isIdRenderable(e.tileID.key)},r.prototype._isIdRenderable=function(t,e){return this._tiles[t]&&this._tiles[t].hasData()&&!this._coveredTiles[t]&&(e||!this._tiles[t].holdingForFade())},r.prototype.reload=function(){if(this._paused)this._shouldReloadOnResume=!0;else for(var t in this._cache.reset(),this._tiles)\\\"errored\\\"!==this._tiles[t].state&&this._reloadTile(t,\\\"reloading\\\")},r.prototype._reloadTile=function(t,e){var r=this._tiles[t];r&&(\\\"loading\\\"!==r.state&&(r.state=e),this._loadTile(r,this._tileLoaded.bind(this,r,t,e)))},r.prototype._tileLoaded=function(e,r,n,i){if(i)return e.state=\\\"errored\\\",void(404!==i.status?this._source.fire(new t.ErrorEvent(i,{tile:e})):this.update(this.transform));e.timeAdded=t.browser.now(),\\\"expired\\\"===n&&(e.refreshedUponExpiration=!0),this._setTileReloadTimer(r,e),\\\"raster-dem\\\"===this.getSource().type&&e.dem&&this._backfillDEM(e),this._state.initializeTileState(e,this.map?this.map.painter:null),this._source.fire(new t.Event(\\\"data\\\",{dataType:\\\"source\\\",tile:e,coord:e.tileID}))},r.prototype._backfillDEM=function(t){for(var e=this.getRenderableIds(),r=0;r<e.length;r++){var n=e[r];if(t.neighboringTiles&&t.neighboringTiles[n]){var i=this.getTileByID(n);a(t,i),a(i,t)}}function a(t,e){t.needsHillshadePrepare=!0;var r=e.tileID.canonical.x-t.tileID.canonical.x,n=e.tileID.canonical.y-t.tileID.canonical.y,i=Math.pow(2,t.tileID.canonical.z),a=e.tileID.key;0===r&&0===n||Math.abs(n)>1||(Math.abs(r)>1&&(1===Math.abs(r+i)?r+=i:1===Math.abs(r-i)&&(r-=i)),e.dem&&t.dem&&(t.dem.backfillBorder(e.dem,r,n),t.neighboringTiles&&t.neighboringTiles[a]&&(t.neighboringTiles[a].backfilled=!0)))}},r.prototype.getTile=function(t){return this.getTileByID(t.key)},r.prototype.getTileByID=function(t){return this._tiles[t]},r.prototype._retainLoadedChildren=function(t,e,r,n){for(var i in this._tiles){var a=this._tiles[i];if(!(n[i]||!a.hasData()||a.tileID.overscaledZ<=e||a.tileID.overscaledZ>r)){for(var o=a.tileID;a&&a.tileID.overscaledZ>e+1;){var s=a.tileID.scaledTo(a.tileID.overscaledZ-1);(a=this._tiles[s.key])&&a.hasData()&&(o=s)}for(var l=o;l.overscaledZ>e;)if(t[(l=l.scaledTo(l.overscaledZ-1)).key]){n[o.key]=o;break}}}},r.prototype.findLoadedParent=function(t,e){if(t.key in this._loadedParentTiles){var r=this._loadedParentTiles[t.key];return r&&r.tileID.overscaledZ>=e?r:null}for(var n=t.overscaledZ-1;n>=e;n--){var i=t.scaledTo(n),a=this._getLoadedTile(i);if(a)return a}},r.prototype._getLoadedTile=function(t){var e=this._tiles[t.key];return e&&e.hasData()?e:this._cache.getByKey(t.wrapped().key)},r.prototype.updateCacheSize=function(t){var e=(Math.ceil(t.width/this._source.tileSize)+1)*(Math.ceil(t.height/this._source.tileSize)+1),r=Math.floor(5*e),n=\\\"number\\\"==typeof this._maxTileCacheSize?Math.min(this._maxTileCacheSize,r):r;this._cache.setMaxSize(n)},r.prototype.handleWrapJump=function(t){var e=(t-(void 0===this._prevLng?t:this._prevLng))/360,r=Math.round(e);if(this._prevLng=t,r){var n={};for(var i in this._tiles){var a=this._tiles[i];a.tileID=a.tileID.unwrapTo(a.tileID.wrap+r),n[a.tileID.key]=a}for(var o in this._tiles=n,this._timers)clearTimeout(this._timers[o]),delete this._timers[o];for(var s in this._tiles){var l=this._tiles[s];this._setTileReloadTimer(s,l)}}},r.prototype.update=function(e){var n=this;if(this.transform=e,this._sourceLoaded&&!this._paused){var i;this.updateCacheSize(e),this.handleWrapJump(this.transform.center.lng),this._coveredTiles={},this.used?this._source.tileID?i=e.getVisibleUnwrappedCoordinates(this._source.tileID).map((function(e){return new t.OverscaledTileID(e.canonical.z,e.wrap,e.canonical.z,e.canonical.x,e.canonical.y)})):(i=e.coveringTiles({tileSize:this._source.tileSize,minzoom:this._source.minzoom,maxzoom:this._source.maxzoom,roundZoom:this._source.roundZoom,reparseOverscaled:this._source.reparseOverscaled}),this._source.hasTile&&(i=i.filter((function(t){return n._source.hasTile(t)})))):i=[];var a=e.coveringZoomLevel(this._source),o=Math.max(a-r.maxOverzooming,this._source.minzoom),s=Math.max(a+r.maxUnderzooming,this._source.minzoom),l=this._updateRetainedTiles(i,a);if(It(this._source.type)){for(var c={},u={},f=0,h=Object.keys(l);f<h.length;f+=1){var p=h[f],d=l[p],m=this._tiles[p];if(m&&!(m.fadeEndTime&&m.fadeEndTime<=t.browser.now())){var g=this.findLoadedParent(d,o);g&&(this._addTile(g.tileID),c[g.tileID.key]=g.tileID),u[p]=d}}for(var v in this._retainLoadedChildren(u,a,s,l),c)l[v]||(this._coveredTiles[v]=!0,l[v]=c[v])}for(var y in l)this._tiles[y].clearFadeHold();for(var x=0,b=t.keysDifference(this._tiles,l);x<b.length;x+=1){var _=b[x],w=this._tiles[_];w.hasSymbolBuckets&&!w.holdingForFade()?w.setHoldDuration(this.map._fadeDuration):w.hasSymbolBuckets&&!w.symbolFadeFinished()||this._removeTile(_)}this._updateLoadedParentTileCache()}},r.prototype.releaseSymbolFadeTiles=function(){for(var t in this._tiles)this._tiles[t].holdingForFade()&&this._removeTile(t)},r.prototype._updateRetainedTiles=function(t,e){for(var n={},i={},a=Math.max(e-r.maxOverzooming,this._source.minzoom),o=Math.max(e+r.maxUnderzooming,this._source.minzoom),s={},l=0,c=t;l<c.length;l+=1){var u=c[l],f=this._addTile(u);n[u.key]=u,f.hasData()||e<this._source.maxzoom&&(s[u.key]=u)}this._retainLoadedChildren(s,e,o,n);for(var h=0,p=t;h<p.length;h+=1){var d=p[h],m=this._tiles[d.key];if(!m.hasData()){if(e+1>this._source.maxzoom){var g=d.children(this._source.maxzoom)[0],v=this.getTile(g);if(v&&v.hasData()){n[g.key]=g;continue}}else{var y=d.children(this._source.maxzoom);if(n[y[0].key]&&n[y[1].key]&&n[y[2].key]&&n[y[3].key])continue}for(var x=m.wasRequested(),b=d.overscaledZ-1;b>=a;--b){var _=d.scaledTo(b);if(i[_.key])break;if(i[_.key]=!0,!(m=this.getTile(_))&&x&&(m=this._addTile(_)),m&&(n[_.key]=_,x=m.wasRequested(),m.hasData()))break}}}return n},r.prototype._updateLoadedParentTileCache=function(){for(var t in this._loadedParentTiles={},this._tiles){for(var e=[],r=void 0,n=this._tiles[t].tileID;n.overscaledZ>0;){if(n.key in this._loadedParentTiles){r=this._loadedParentTiles[n.key];break}e.push(n.key);var i=n.scaledTo(n.overscaledZ-1);if(r=this._getLoadedTile(i))break;n=i}for(var a=0,o=e;a<o.length;a+=1){var s=o[a];this._loadedParentTiles[s]=r}}},r.prototype._addTile=function(e){var r=this._tiles[e.key];if(r)return r;(r=this._cache.getAndRemove(e))&&(this._setTileReloadTimer(e.key,r),r.tileID=e,this._state.initializeTileState(r,this.map?this.map.painter:null),this._cacheTimers[e.key]&&(clearTimeout(this._cacheTimers[e.key]),delete this._cacheTimers[e.key],this._setTileReloadTimer(e.key,r)));var n=Boolean(r);return n||(r=new t.Tile(e,this._source.tileSize*e.overscaleFactor()),this._loadTile(r,this._tileLoaded.bind(this,r,e.key,r.state))),r?(r.uses++,this._tiles[e.key]=r,n||this._source.fire(new t.Event(\\\"dataloading\\\",{tile:r,coord:r.tileID,dataType:\\\"source\\\"})),r):null},r.prototype._setTileReloadTimer=function(t,e){var r=this;t in this._timers&&(clearTimeout(this._timers[t]),delete this._timers[t]);var n=e.getExpiryTimeout();n&&(this._timers[t]=setTimeout((function(){r._reloadTile(t,\\\"expired\\\"),delete r._timers[t]}),n))},r.prototype._removeTile=function(t){var e=this._tiles[t];e&&(e.uses--,delete this._tiles[t],this._timers[t]&&(clearTimeout(this._timers[t]),delete this._timers[t]),e.uses>0||(e.hasData()&&\\\"reloading\\\"!==e.state?this._cache.add(e.tileID,e,e.getExpiryTimeout()):(e.aborted=!0,this._abortTile(e),this._unloadTile(e))))},r.prototype.clearTiles=function(){for(var t in this._shouldReloadOnResume=!1,this._paused=!1,this._tiles)this._removeTile(t);this._cache.reset()},r.prototype.tilesIn=function(e,r,n){var i=this,a=[],o=this.transform;if(!o)return a;for(var s=n?o.getCameraQueryGeometry(e):e,l=e.map((function(t){return o.pointCoordinate(t)})),c=s.map((function(t){return o.pointCoordinate(t)})),u=this.getIds(),f=1/0,h=1/0,p=-1/0,d=-1/0,m=0,g=c;m<g.length;m+=1){var v=g[m];f=Math.min(f,v.x),h=Math.min(h,v.y),p=Math.max(p,v.x),d=Math.max(d,v.y)}for(var y=function(e){var n=i._tiles[u[e]];if(!n.holdingForFade()){var s=n.tileID,m=Math.pow(2,o.zoom-n.tileID.overscaledZ),g=r*n.queryPadding*t.EXTENT/n.tileSize/m,v=[s.getTilePoint(new t.MercatorCoordinate(f,h)),s.getTilePoint(new t.MercatorCoordinate(p,d))];if(v[0].x-g<t.EXTENT&&v[0].y-g<t.EXTENT&&v[1].x+g>=0&&v[1].y+g>=0){var y=l.map((function(t){return s.getTilePoint(t)})),x=c.map((function(t){return s.getTilePoint(t)}));a.push({tile:n,tileID:s,queryGeometry:y,cameraQueryGeometry:x,scale:m})}}},x=0;x<u.length;x++)y(x);return a},r.prototype.getVisibleCoordinates=function(t){for(var e=this,r=this.getRenderableIds(t).map((function(t){return e._tiles[t].tileID})),n=0,i=r;n<i.length;n+=1){var a=i[n];a.posMatrix=this.transform.calculatePosMatrix(a.toUnwrapped())}return r},r.prototype.hasTransition=function(){if(this._source.hasTransition())return!0;if(It(this._source.type))for(var e in this._tiles){var r=this._tiles[e];if(void 0!==r.fadeEndTime&&r.fadeEndTime>=t.browser.now())return!0}return!1},r.prototype.setFeatureState=function(t,e,r){t=t||\\\"_geojsonTileLayer\\\",this._state.updateState(t,e,r)},r.prototype.removeFeatureState=function(t,e,r){t=t||\\\"_geojsonTileLayer\\\",this._state.removeFeatureState(t,e,r)},r.prototype.getFeatureState=function(t,e){return t=t||\\\"_geojsonTileLayer\\\",this._state.getState(t,e)},r.prototype.setDependencies=function(t,e,r){var n=this._tiles[t];n&&n.setDependencies(e,r)},r.prototype.reloadTilesForDependencies=function(t,e){for(var r in this._tiles){this._tiles[r].hasDependency(t,e)&&this._reloadTile(r,\\\"reloading\\\")}this._cache.filter((function(r){return!r.hasDependency(t,e)}))},r}(t.Evented);function Pt(t,e){var r=Math.abs(2*t.wrap)-+(t.wrap<0),n=Math.abs(2*e.wrap)-+(e.wrap<0);return t.overscaledZ-e.overscaledZ||n-r||e.canonical.y-t.canonical.y||e.canonical.x-t.canonical.x}function It(t){return\\\"raster\\\"===t||\\\"image\\\"===t||\\\"video\\\"===t}function Ot(){return new t.window.Worker(Zi.workerUrl)}Ct.maxOverzooming=10,Ct.maxUnderzooming=3;var zt=\\\"mapboxgl_preloaded_worker_pool\\\",Dt=function(){this.active={}};Dt.prototype.acquire=function(t){if(!this.workers)for(this.workers=[];this.workers.length<Dt.workerCount;)this.workers.push(new Ot);return this.active[t]=!0,this.workers.slice()},Dt.prototype.release=function(t){delete this.active[t],0===this.numActive()&&(this.workers.forEach((function(t){t.terminate()})),this.workers=null)},Dt.prototype.isPreloaded=function(){return!!this.active[zt]},Dt.prototype.numActive=function(){return Object.keys(this.active).length};var Rt,Ft=Math.floor(t.browser.hardwareConcurrency/2);function Bt(){return Rt||(Rt=new Dt),Rt}function Nt(e,r){var n={};for(var i in e)\\\"ref\\\"!==i&&(n[i]=e[i]);return t.refProperties.forEach((function(t){t in r&&(n[t]=r[t])})),n}function jt(t){t=t.slice();for(var e=Object.create(null),r=0;r<t.length;r++)e[t[r].id]=t[r];for(var n=0;n<t.length;n++)\\\"ref\\\"in t[n]&&(t[n]=Nt(t[n],e[t[n].ref]));return t}Dt.workerCount=Math.max(Math.min(Ft,6),1);var Ut={setStyle:\\\"setStyle\\\",addLayer:\\\"addLayer\\\",removeLayer:\\\"removeLayer\\\",setPaintProperty:\\\"setPaintProperty\\\",setLayoutProperty:\\\"setLayoutProperty\\\",setFilter:\\\"setFilter\\\",addSource:\\\"addSource\\\",removeSource:\\\"removeSource\\\",setGeoJSONSourceData:\\\"setGeoJSONSourceData\\\",setLayerZoomRange:\\\"setLayerZoomRange\\\",setLayerProperty:\\\"setLayerProperty\\\",setCenter:\\\"setCenter\\\",setZoom:\\\"setZoom\\\",setBearing:\\\"setBearing\\\",setPitch:\\\"setPitch\\\",setSprite:\\\"setSprite\\\",setGlyphs:\\\"setGlyphs\\\",setTransition:\\\"setTransition\\\",setLight:\\\"setLight\\\"};function Vt(t,e,r){r.push({command:Ut.addSource,args:[t,e[t]]})}function qt(t,e,r){e.push({command:Ut.removeSource,args:[t]}),r[t]=!0}function Ht(t,e,r,n){qt(t,r,n),Vt(t,e,r)}function Gt(e,r,n){var i;for(i in e[n])if(e[n].hasOwnProperty(i)&&\\\"data\\\"!==i&&!t.deepEqual(e[n][i],r[n][i]))return!1;for(i in r[n])if(r[n].hasOwnProperty(i)&&\\\"data\\\"!==i&&!t.deepEqual(e[n][i],r[n][i]))return!1;return!0}function Yt(e,r,n,i,a,o){var s;for(s in r=r||{},e=e||{})e.hasOwnProperty(s)&&(t.deepEqual(e[s],r[s])||n.push({command:o,args:[i,s,r[s],a]}));for(s in r)r.hasOwnProperty(s)&&!e.hasOwnProperty(s)&&(t.deepEqual(e[s],r[s])||n.push({command:o,args:[i,s,r[s],a]}))}function Wt(t){return t.id}function Xt(t,e){return t[e.id]=e,t}function Zt(e,r){if(!e)return[{command:Ut.setStyle,args:[r]}];var n=[];try{if(!t.deepEqual(e.version,r.version))return[{command:Ut.setStyle,args:[r]}];t.deepEqual(e.center,r.center)||n.push({command:Ut.setCenter,args:[r.center]}),t.deepEqual(e.zoom,r.zoom)||n.push({command:Ut.setZoom,args:[r.zoom]}),t.deepEqual(e.bearing,r.bearing)||n.push({command:Ut.setBearing,args:[r.bearing]}),t.deepEqual(e.pitch,r.pitch)||n.push({command:Ut.setPitch,args:[r.pitch]}),t.deepEqual(e.sprite,r.sprite)||n.push({command:Ut.setSprite,args:[r.sprite]}),t.deepEqual(e.glyphs,r.glyphs)||n.push({command:Ut.setGlyphs,args:[r.glyphs]}),t.deepEqual(e.transition,r.transition)||n.push({command:Ut.setTransition,args:[r.transition]}),t.deepEqual(e.light,r.light)||n.push({command:Ut.setLight,args:[r.light]});var i={},a=[];!function(e,r,n,i){var a;for(a in r=r||{},e=e||{})e.hasOwnProperty(a)&&(r.hasOwnProperty(a)||qt(a,n,i));for(a in r)r.hasOwnProperty(a)&&(e.hasOwnProperty(a)?t.deepEqual(e[a],r[a])||(\\\"geojson\\\"===e[a].type&&\\\"geojson\\\"===r[a].type&&Gt(e,r,a)?n.push({command:Ut.setGeoJSONSourceData,args:[a,r[a].data]}):Ht(a,r,n,i)):Vt(a,r,n))}(e.sources,r.sources,a,i);var o=[];e.layers&&e.layers.forEach((function(t){i[t.source]?n.push({command:Ut.removeLayer,args:[t.id]}):o.push(t)})),n=n.concat(a),function(e,r,n){r=r||[];var i,a,o,s,l,c,u,f=(e=e||[]).map(Wt),h=r.map(Wt),p=e.reduce(Xt,{}),d=r.reduce(Xt,{}),m=f.slice(),g=Object.create(null);for(i=0,a=0;i<f.length;i++)o=f[i],d.hasOwnProperty(o)?a++:(n.push({command:Ut.removeLayer,args:[o]}),m.splice(m.indexOf(o,a),1));for(i=0,a=0;i<h.length;i++)o=h[h.length-1-i],m[m.length-1-i]!==o&&(p.hasOwnProperty(o)?(n.push({command:Ut.removeLayer,args:[o]}),m.splice(m.lastIndexOf(o,m.length-a),1)):a++,c=m[m.length-i],n.push({command:Ut.addLayer,args:[d[o],c]}),m.splice(m.length-i,0,o),g[o]=!0);for(i=0;i<h.length;i++)if(s=p[o=h[i]],l=d[o],!g[o]&&!t.deepEqual(s,l))if(t.deepEqual(s.source,l.source)&&t.deepEqual(s[\\\"source-layer\\\"],l[\\\"source-layer\\\"])&&t.deepEqual(s.type,l.type)){for(u in Yt(s.layout,l.layout,n,o,null,Ut.setLayoutProperty),Yt(s.paint,l.paint,n,o,null,Ut.setPaintProperty),t.deepEqual(s.filter,l.filter)||n.push({command:Ut.setFilter,args:[o,l.filter]}),t.deepEqual(s.minzoom,l.minzoom)&&t.deepEqual(s.maxzoom,l.maxzoom)||n.push({command:Ut.setLayerZoomRange,args:[o,l.minzoom,l.maxzoom]}),s)s.hasOwnProperty(u)&&\\\"layout\\\"!==u&&\\\"paint\\\"!==u&&\\\"filter\\\"!==u&&\\\"metadata\\\"!==u&&\\\"minzoom\\\"!==u&&\\\"maxzoom\\\"!==u&&(0===u.indexOf(\\\"paint.\\\")?Yt(s[u],l[u],n,o,u.slice(6),Ut.setPaintProperty):t.deepEqual(s[u],l[u])||n.push({command:Ut.setLayerProperty,args:[o,u,l[u]]}));for(u in l)l.hasOwnProperty(u)&&!s.hasOwnProperty(u)&&\\\"layout\\\"!==u&&\\\"paint\\\"!==u&&\\\"filter\\\"!==u&&\\\"metadata\\\"!==u&&\\\"minzoom\\\"!==u&&\\\"maxzoom\\\"!==u&&(0===u.indexOf(\\\"paint.\\\")?Yt(s[u],l[u],n,o,u.slice(6),Ut.setPaintProperty):t.deepEqual(s[u],l[u])||n.push({command:Ut.setLayerProperty,args:[o,u,l[u]]}))}else n.push({command:Ut.removeLayer,args:[o]}),c=m[m.lastIndexOf(o)+1],n.push({command:Ut.addLayer,args:[l,c]})}(o,r.layers,n)}catch(t){console.warn(\\\"Unable to compute style diff:\\\",t),n=[{command:Ut.setStyle,args:[r]}]}return n}var Jt=function(t,e){this.reset(t,e)};Jt.prototype.reset=function(t,e){this.points=t||[],this._distances=[0];for(var r=1;r<this.points.length;r++)this._distances[r]=this._distances[r-1]+this.points[r].dist(this.points[r-1]);this.length=this._distances[this._distances.length-1],this.padding=Math.min(e||0,.5*this.length),this.paddedLength=this.length-2*this.padding},Jt.prototype.lerp=function(e){if(1===this.points.length)return this.points[0];e=t.clamp(e,0,1);for(var r=1,n=this._distances[r],i=e*this.paddedLength+this.padding;n<i&&r<this._distances.length;)n=this._distances[++r];var a=r-1,o=this._distances[a],s=n-o,l=s>0?(i-o)/s:0;return this.points[a].mult(1-l).add(this.points[r].mult(l))};var Kt=function(t,e,r){var n=this.boxCells=[],i=this.circleCells=[];this.xCellCount=Math.ceil(t/r),this.yCellCount=Math.ceil(e/r);for(var a=0;a<this.xCellCount*this.yCellCount;a++)n.push([]),i.push([]);this.circleKeys=[],this.boxKeys=[],this.bboxes=[],this.circles=[],this.width=t,this.height=e,this.xScale=this.xCellCount/t,this.yScale=this.yCellCount/e,this.boxUid=0,this.circleUid=0};function Qt(e,r,n,i,a){var o=t.create();return r?(t.scale(o,o,[1/a,1/a,1]),n||t.rotateZ(o,o,i.angle)):t.multiply(o,i.labelPlaneMatrix,e),o}function $t(e,r,n,i,a){if(r){var o=t.clone(e);return t.scale(o,o,[a,a,1]),n||t.rotateZ(o,o,-i.angle),o}return i.glCoordMatrix}function te(e,r){var n=[e.x,e.y,0,1];fe(n,n,r);var i=n[3];return{point:new t.Point(n[0]/i,n[1]/i),signedDistanceFromCamera:i}}function ee(t,e){return.5+t/e*.5}function re(t,e){var r=t[0]/t[3],n=t[1]/t[3];return r>=-e[0]&&r<=e[0]&&n>=-e[1]&&n<=e[1]}function ne(e,r,n,i,a,o,s,l){var c=i?e.textSizeData:e.iconSizeData,u=t.evaluateSizeForZoom(c,n.transform.zoom),f=[256/n.width*2+1,256/n.height*2+1],h=i?e.text.dynamicLayoutVertexArray:e.icon.dynamicLayoutVertexArray;h.clear();for(var p=e.lineVertexArray,d=i?e.text.placedSymbolArray:e.icon.placedSymbolArray,m=n.transform.width/n.transform.height,g=!1,v=0;v<d.length;v++){var y=d.get(v);if(y.hidden||y.writingMode===t.WritingMode.vertical&&!g)ue(y.numGlyphs,h);else{g=!1;var x=[y.anchorX,y.anchorY,0,1];if(t.transformMat4(x,x,r),re(x,f)){var b=x[3],_=ee(n.transform.cameraToCenterDistance,b),w=t.evaluateSizeForFeature(c,u,y),T=s?w/_:w*_,k=new t.Point(y.anchorX,y.anchorY),M=te(k,a).point,A={},S=oe(y,T,!1,l,r,a,o,e.glyphOffsetArray,p,h,M,k,A,m);g=S.useVertical,(S.notEnoughRoom||g||S.needsFlipping&&oe(y,T,!0,l,r,a,o,e.glyphOffsetArray,p,h,M,k,A,m).notEnoughRoom)&&ue(y.numGlyphs,h)}else ue(y.numGlyphs,h)}}i?e.text.dynamicLayoutVertexBuffer.updateData(h):e.icon.dynamicLayoutVertexBuffer.updateData(h)}function ie(t,e,r,n,i,a,o,s,l,c,u){var f=s.glyphStartIndex+s.numGlyphs,h=s.lineStartIndex,p=s.lineStartIndex+s.lineLength,d=e.getoffsetX(s.glyphStartIndex),m=e.getoffsetX(f-1),g=le(t*d,r,n,i,a,o,s.segment,h,p,l,c,u);if(!g)return null;var v=le(t*m,r,n,i,a,o,s.segment,h,p,l,c,u);return v?{first:g,last:v}:null}function ae(e,r,n,i){if(e===t.WritingMode.horizontal&&Math.abs(n.y-r.y)>Math.abs(n.x-r.x)*i)return{useVertical:!0};return(e===t.WritingMode.vertical?r.y<n.y:r.x>n.x)?{needsFlipping:!0}:null}function oe(e,r,n,i,a,o,s,l,c,u,f,h,p,d){var m,g=r/24,v=e.lineOffsetX*g,y=e.lineOffsetY*g;if(e.numGlyphs>1){var x=e.glyphStartIndex+e.numGlyphs,b=e.lineStartIndex,_=e.lineStartIndex+e.lineLength,w=ie(g,l,v,y,n,f,h,e,c,o,p);if(!w)return{notEnoughRoom:!0};var T=te(w.first.point,s).point,k=te(w.last.point,s).point;if(i&&!n){var M=ae(e.writingMode,T,k,d);if(M)return M}m=[w.first];for(var A=e.glyphStartIndex+1;A<x-1;A++)m.push(le(g*l.getoffsetX(A),v,y,n,f,h,e.segment,b,_,c,o,p));m.push(w.last)}else{if(i&&!n){var S=te(h,a).point,E=e.lineStartIndex+e.segment+1,L=new t.Point(c.getx(E),c.gety(E)),C=te(L,a),P=C.signedDistanceFromCamera>0?C.point:se(h,L,S,1,a),I=ae(e.writingMode,S,P,d);if(I)return I}var O=le(g*l.getoffsetX(e.glyphStartIndex),v,y,n,f,h,e.segment,e.lineStartIndex,e.lineStartIndex+e.lineLength,c,o,p);if(!O)return{notEnoughRoom:!0};m=[O]}for(var z=0,D=m;z<D.length;z+=1){var R=D[z];t.addDynamicAttributes(u,R.point,R.angle)}return{}}function se(t,e,r,n,i){var a=te(t.add(t.sub(e)._unit()),i).point,o=r.sub(a);return r.add(o._mult(n/o.mag()))}function le(e,r,n,i,a,o,s,l,c,u,f,h){var p=i?e-r:e+r,d=p>0?1:-1,m=0;i&&(d*=-1,m=Math.PI),d<0&&(m+=Math.PI);for(var g=d>0?l+s:l+s+1,v=a,y=a,x=0,b=0,_=Math.abs(p),w=[];x+b<=_;){if((g+=d)<l||g>=c)return null;if(y=v,w.push(v),void 0===(v=h[g])){var T=new t.Point(u.getx(g),u.gety(g)),k=te(T,f);if(k.signedDistanceFromCamera>0)v=h[g]=k.point;else{var M=g-d;v=se(0===x?o:new t.Point(u.getx(M),u.gety(M)),T,y,_-x+1,f)}}x+=b,b=y.dist(v)}var A=(_-x)/b,S=v.sub(y),E=S.mult(A)._add(y);E._add(S._unit()._perp()._mult(n*d));var L=m+Math.atan2(v.y-y.y,v.x-y.x);return w.push(E),{point:E,angle:L,path:w}}Kt.prototype.keysLength=function(){return this.boxKeys.length+this.circleKeys.length},Kt.prototype.insert=function(t,e,r,n,i){this._forEachCell(e,r,n,i,this._insertBoxCell,this.boxUid++),this.boxKeys.push(t),this.bboxes.push(e),this.bboxes.push(r),this.bboxes.push(n),this.bboxes.push(i)},Kt.prototype.insertCircle=function(t,e,r,n){this._forEachCell(e-n,r-n,e+n,r+n,this._insertCircleCell,this.circleUid++),this.circleKeys.push(t),this.circles.push(e),this.circles.push(r),this.circles.push(n)},Kt.prototype._insertBoxCell=function(t,e,r,n,i,a){this.boxCells[i].push(a)},Kt.prototype._insertCircleCell=function(t,e,r,n,i,a){this.circleCells[i].push(a)},Kt.prototype._query=function(t,e,r,n,i,a){if(r<0||t>this.width||n<0||e>this.height)return!i&&[];var o=[];if(t<=0&&e<=0&&this.width<=r&&this.height<=n){if(i)return!0;for(var s=0;s<this.boxKeys.length;s++)o.push({key:this.boxKeys[s],x1:this.bboxes[4*s],y1:this.bboxes[4*s+1],x2:this.bboxes[4*s+2],y2:this.bboxes[4*s+3]});for(var l=0;l<this.circleKeys.length;l++){var c=this.circles[3*l],u=this.circles[3*l+1],f=this.circles[3*l+2];o.push({key:this.circleKeys[l],x1:c-f,y1:u-f,x2:c+f,y2:u+f})}return a?o.filter(a):o}var h={hitTest:i,seenUids:{box:{},circle:{}}};return this._forEachCell(t,e,r,n,this._queryCell,o,h,a),i?o.length>0:o},Kt.prototype._queryCircle=function(t,e,r,n,i){var a=t-r,o=t+r,s=e-r,l=e+r;if(o<0||a>this.width||l<0||s>this.height)return!n&&[];var c=[],u={hitTest:n,circle:{x:t,y:e,radius:r},seenUids:{box:{},circle:{}}};return this._forEachCell(a,s,o,l,this._queryCellCircle,c,u,i),n?c.length>0:c},Kt.prototype.query=function(t,e,r,n,i){return this._query(t,e,r,n,!1,i)},Kt.prototype.hitTest=function(t,e,r,n,i){return this._query(t,e,r,n,!0,i)},Kt.prototype.hitTestCircle=function(t,e,r,n){return this._queryCircle(t,e,r,!0,n)},Kt.prototype._queryCell=function(t,e,r,n,i,a,o,s){var l=o.seenUids,c=this.boxCells[i];if(null!==c)for(var u=this.bboxes,f=0,h=c;f<h.length;f+=1){var p=h[f];if(!l.box[p]){l.box[p]=!0;var d=4*p;if(t<=u[d+2]&&e<=u[d+3]&&r>=u[d+0]&&n>=u[d+1]&&(!s||s(this.boxKeys[p]))){if(o.hitTest)return a.push(!0),!0;a.push({key:this.boxKeys[p],x1:u[d],y1:u[d+1],x2:u[d+2],y2:u[d+3]})}}}var m=this.circleCells[i];if(null!==m)for(var g=this.circles,v=0,y=m;v<y.length;v+=1){var x=y[v];if(!l.circle[x]){l.circle[x]=!0;var b=3*x;if(this._circleAndRectCollide(g[b],g[b+1],g[b+2],t,e,r,n)&&(!s||s(this.circleKeys[x]))){if(o.hitTest)return a.push(!0),!0;var _=g[b],w=g[b+1],T=g[b+2];a.push({key:this.circleKeys[x],x1:_-T,y1:w-T,x2:_+T,y2:w+T})}}}},Kt.prototype._queryCellCircle=function(t,e,r,n,i,a,o,s){var l=o.circle,c=o.seenUids,u=this.boxCells[i];if(null!==u)for(var f=this.bboxes,h=0,p=u;h<p.length;h+=1){var d=p[h];if(!c.box[d]){c.box[d]=!0;var m=4*d;if(this._circleAndRectCollide(l.x,l.y,l.radius,f[m+0],f[m+1],f[m+2],f[m+3])&&(!s||s(this.boxKeys[d])))return a.push(!0),!0}}var g=this.circleCells[i];if(null!==g)for(var v=this.circles,y=0,x=g;y<x.length;y+=1){var b=x[y];if(!c.circle[b]){c.circle[b]=!0;var _=3*b;if(this._circlesCollide(v[_],v[_+1],v[_+2],l.x,l.y,l.radius)&&(!s||s(this.circleKeys[b])))return a.push(!0),!0}}},Kt.prototype._forEachCell=function(t,e,r,n,i,a,o,s){for(var l=this._convertToXCellCoord(t),c=this._convertToYCellCoord(e),u=this._convertToXCellCoord(r),f=this._convertToYCellCoord(n),h=l;h<=u;h++)for(var p=c;p<=f;p++){var d=this.xCellCount*p+h;if(i.call(this,t,e,r,n,d,a,o,s))return}},Kt.prototype._convertToXCellCoord=function(t){return Math.max(0,Math.min(this.xCellCount-1,Math.floor(t*this.xScale)))},Kt.prototype._convertToYCellCoord=function(t){return Math.max(0,Math.min(this.yCellCount-1,Math.floor(t*this.yScale)))},Kt.prototype._circlesCollide=function(t,e,r,n,i,a){var o=n-t,s=i-e,l=r+a;return l*l>o*o+s*s},Kt.prototype._circleAndRectCollide=function(t,e,r,n,i,a,o){var s=(a-n)/2,l=Math.abs(t-(n+s));if(l>s+r)return!1;var c=(o-i)/2,u=Math.abs(e-(i+c));if(u>c+r)return!1;if(l<=s||u<=c)return!0;var f=l-s,h=u-c;return f*f+h*h<=r*r};var ce=new Float32Array([-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0]);function ue(t,e){for(var r=0;r<t;r++){var n=e.length;e.resize(n+4),e.float32.set(ce,3*n)}}function fe(t,e,r){var n=e[0],i=e[1];return t[0]=r[0]*n+r[4]*i+r[12],t[1]=r[1]*n+r[5]*i+r[13],t[3]=r[3]*n+r[7]*i+r[15],t}var he=function(t,e,r){void 0===e&&(e=new Kt(t.width+200,t.height+200,25)),void 0===r&&(r=new Kt(t.width+200,t.height+200,25)),this.transform=t,this.grid=e,this.ignoredGrid=r,this.pitchfactor=Math.cos(t._pitch)*t.cameraToCenterDistance,this.screenRightBoundary=t.width+100,this.screenBottomBoundary=t.height+100,this.gridRightBoundary=t.width+200,this.gridBottomBoundary=t.height+200};function pe(e,r,n){return r*(t.EXTENT/(e.tileSize*Math.pow(2,n-e.tileID.overscaledZ)))}he.prototype.placeCollisionBox=function(t,e,r,n,i){var a=this.projectAndGetPerspectiveRatio(n,t.anchorPointX,t.anchorPointY),o=r*a.perspectiveRatio,s=t.x1*o+a.point.x,l=t.y1*o+a.point.y,c=t.x2*o+a.point.x,u=t.y2*o+a.point.y;return!this.isInsideGrid(s,l,c,u)||!e&&this.grid.hitTest(s,l,c,u,i)?{box:[],offscreen:!1}:{box:[s,l,c,u],offscreen:this.isOffscreen(s,l,c,u)}},he.prototype.placeCollisionCircles=function(e,r,n,i,a,o,s,l,c,u,f,h,p){var d=[],m=new t.Point(r.anchorX,r.anchorY),g=te(m,o),v=ee(this.transform.cameraToCenterDistance,g.signedDistanceFromCamera),y=(u?a/v:a*v)/t.ONE_EM,x=te(m,s).point,b=ie(y,i,r.lineOffsetX*y,r.lineOffsetY*y,!1,x,m,r,n,s,{}),_=!1,w=!1,T=!0;if(b){for(var k=.5*h*v+p,M=new t.Point(-100,-100),A=new t.Point(this.screenRightBoundary,this.screenBottomBoundary),S=new Jt,E=b.first,L=b.last,C=[],P=E.path.length-1;P>=1;P--)C.push(E.path[P]);for(var I=1;I<L.path.length;I++)C.push(L.path[I]);var O=2.5*k;if(l){var z=C.map((function(t){return te(t,l)}));C=z.some((function(t){return t.signedDistanceFromCamera<=0}))?[]:z.map((function(t){return t.point}))}var D=[];if(C.length>0){for(var R=C[0].clone(),F=C[0].clone(),B=1;B<C.length;B++)R.x=Math.min(R.x,C[B].x),R.y=Math.min(R.y,C[B].y),F.x=Math.max(F.x,C[B].x),F.y=Math.max(F.y,C[B].y);D=R.x>=M.x&&F.x<=A.x&&R.y>=M.y&&F.y<=A.y?[C]:F.x<M.x||R.x>A.x||F.y<M.y||R.y>A.y?[]:t.clipLine([C],M.x,M.y,A.x,A.y)}for(var N=0,j=D;N<j.length;N+=1){var U=j[N];S.reset(U,.25*k);var V=0;V=S.length<=.5*k?1:Math.ceil(S.paddedLength/O)+1;for(var q=0;q<V;q++){var H=q/Math.max(V-1,1),G=S.lerp(H),Y=G.x+100,W=G.y+100;d.push(Y,W,k,0);var X=Y-k,Z=W-k,J=Y+k,K=W+k;if(T=T&&this.isOffscreen(X,Z,J,K),w=w||this.isInsideGrid(X,Z,J,K),!e&&this.grid.hitTestCircle(Y,W,k,f)&&(_=!0,!c))return{circles:[],offscreen:!1,collisionDetected:_}}}}return{circles:!c&&_||!w?[]:d,offscreen:T,collisionDetected:_}},he.prototype.queryRenderedSymbols=function(e){if(0===e.length||0===this.grid.keysLength()&&0===this.ignoredGrid.keysLength())return{};for(var r=[],n=1/0,i=1/0,a=-1/0,o=-1/0,s=0,l=e;s<l.length;s+=1){var c=l[s],u=new t.Point(c.x+100,c.y+100);n=Math.min(n,u.x),i=Math.min(i,u.y),a=Math.max(a,u.x),o=Math.max(o,u.y),r.push(u)}for(var f={},h={},p=0,d=this.grid.query(n,i,a,o).concat(this.ignoredGrid.query(n,i,a,o));p<d.length;p+=1){var m=d[p],g=m.key;if(void 0===f[g.bucketInstanceId]&&(f[g.bucketInstanceId]={}),!f[g.bucketInstanceId][g.featureIndex]){var v=[new t.Point(m.x1,m.y1),new t.Point(m.x2,m.y1),new t.Point(m.x2,m.y2),new t.Point(m.x1,m.y2)];t.polygonIntersectsPolygon(r,v)&&(f[g.bucketInstanceId][g.featureIndex]=!0,void 0===h[g.bucketInstanceId]&&(h[g.bucketInstanceId]=[]),h[g.bucketInstanceId].push(g.featureIndex))}}return h},he.prototype.insertCollisionBox=function(t,e,r,n,i){var a={bucketInstanceId:r,featureIndex:n,collisionGroupID:i};(e?this.ignoredGrid:this.grid).insert(a,t[0],t[1],t[2],t[3])},he.prototype.insertCollisionCircles=function(t,e,r,n,i){for(var a=e?this.ignoredGrid:this.grid,o={bucketInstanceId:r,featureIndex:n,collisionGroupID:i},s=0;s<t.length;s+=4)a.insertCircle(o,t[s],t[s+1],t[s+2])},he.prototype.projectAndGetPerspectiveRatio=function(e,r,n){var i=[r,n,0,1];return fe(i,i,e),{point:new t.Point((i[0]/i[3]+1)/2*this.transform.width+100,(-i[1]/i[3]+1)/2*this.transform.height+100),perspectiveRatio:.5+this.transform.cameraToCenterDistance/i[3]*.5}},he.prototype.isOffscreen=function(t,e,r,n){return r<100||t>=this.screenRightBoundary||n<100||e>this.screenBottomBoundary},he.prototype.isInsideGrid=function(t,e,r,n){return r>=0&&t<this.gridRightBoundary&&n>=0&&e<this.gridBottomBoundary},he.prototype.getViewportMatrix=function(){var e=t.identity([]);return t.translate(e,e,[-100,-100,0]),e};var de=function(t,e,r,n){this.opacity=t?Math.max(0,Math.min(1,t.opacity+(t.placed?e:-e))):n&&r?1:0,this.placed=r};de.prototype.isHidden=function(){return 0===this.opacity&&!this.placed};var me=function(t,e,r,n,i){this.text=new de(t?t.text:null,e,r,i),this.icon=new de(t?t.icon:null,e,n,i)};me.prototype.isHidden=function(){return this.text.isHidden()&&this.icon.isHidden()};var ge=function(t,e,r){this.text=t,this.icon=e,this.skipFade=r},ve=function(){this.invProjMatrix=t.create(),this.viewportMatrix=t.create(),this.circles=[]},ye=function(t,e,r,n,i){this.bucketInstanceId=t,this.featureIndex=e,this.sourceLayerIndex=r,this.bucketIndex=n,this.tileID=i},xe=function(t){this.crossSourceCollisions=t,this.maxGroupID=0,this.collisionGroups={}};function be(e,r,n,i,a){var o=t.getAnchorAlignment(e),s=-(o.horizontalAlign-.5)*r,l=-(o.verticalAlign-.5)*n,c=t.evaluateVariableOffset(e,i);return new t.Point(s+c[0]*a,l+c[1]*a)}function _e(e,r,n,i,a,o){var s=e.x1,l=e.x2,c=e.y1,u=e.y2,f=e.anchorPointX,h=e.anchorPointY,p=new t.Point(r,n);return i&&p._rotate(a?o:-o),{x1:s+p.x,y1:c+p.y,x2:l+p.x,y2:u+p.y,anchorPointX:f,anchorPointY:h}}xe.prototype.get=function(t){if(this.crossSourceCollisions)return{ID:0,predicate:null};if(!this.collisionGroups[t]){var e=++this.maxGroupID;this.collisionGroups[t]={ID:e,predicate:function(t){return t.collisionGroupID===e}}}return this.collisionGroups[t]};var we=function(t,e,r,n){this.transform=t.clone(),this.collisionIndex=new he(this.transform),this.placements={},this.opacities={},this.variableOffsets={},this.stale=!1,this.commitTime=0,this.fadeDuration=e,this.retainedQueryData={},this.collisionGroups=new xe(r),this.collisionCircleArrays={},this.prevPlacement=n,n&&(n.prevPlacement=void 0),this.placedOrientations={}};function Te(t,e,r,n,i){t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0)}we.prototype.getBucketParts=function(e,r,n,i){var a=n.getBucket(r),o=n.latestFeatureIndex;if(a&&o&&r.id===a.layerIds[0]){var s=n.collisionBoxArray,l=a.layers[0].layout,c=Math.pow(2,this.transform.zoom-n.tileID.overscaledZ),u=n.tileSize/t.EXTENT,f=this.transform.calculatePosMatrix(n.tileID.toUnwrapped()),h=\\\"map\\\"===l.get(\\\"text-pitch-alignment\\\"),p=\\\"map\\\"===l.get(\\\"text-rotation-alignment\\\"),d=pe(n,1,this.transform.zoom),m=Qt(f,h,p,this.transform,d),g=null;if(h){var v=$t(f,h,p,this.transform,d);g=t.multiply([],this.transform.labelPlaneMatrix,v)}this.retainedQueryData[a.bucketInstanceId]=new ye(a.bucketInstanceId,o,a.sourceLayerIndex,a.index,n.tileID);var y={bucket:a,layout:l,posMatrix:f,textLabelPlaneMatrix:m,labelToScreenMatrix:g,scale:c,textPixelRatio:u,holdingForFade:n.holdingForFade(),collisionBoxArray:s,partiallyEvaluatedTextSize:t.evaluateSizeForZoom(a.textSizeData,this.transform.zoom),collisionGroup:this.collisionGroups.get(a.sourceID)};if(i)for(var x=0,b=a.sortKeyRanges;x<b.length;x+=1){var _=b[x],w=_.sortKey,T=_.symbolInstanceStart,k=_.symbolInstanceEnd;e.push({sortKey:w,symbolInstanceStart:T,symbolInstanceEnd:k,parameters:y})}else e.push({symbolInstanceStart:0,symbolInstanceEnd:a.symbolInstances.length,parameters:y})}},we.prototype.attemptAnchorPlacement=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d){var m,g=[f.textOffset0,f.textOffset1],v=be(t,r,n,g,i),y=this.collisionIndex.placeCollisionBox(_e(e,v.x,v.y,a,o,this.transform.angle),u,s,l,c.predicate);if(d&&0===this.collisionIndex.placeCollisionBox(_e(d,v.x,v.y,a,o,this.transform.angle),u,s,l,c.predicate).box.length)return;if(y.box.length>0)return this.prevPlacement&&this.prevPlacement.variableOffsets[f.crossTileID]&&this.prevPlacement.placements[f.crossTileID]&&this.prevPlacement.placements[f.crossTileID].text&&(m=this.prevPlacement.variableOffsets[f.crossTileID].anchor),this.variableOffsets[f.crossTileID]={textOffset:g,width:r,height:n,anchor:t,textBoxScale:i,prevAnchor:m},this.markUsedJustification(h,t,f,p),h.allowVerticalPlacement&&(this.markUsedOrientation(h,p,f),this.placedOrientations[f.crossTileID]=p),{shift:v,placedGlyphBoxes:y}},we.prototype.placeLayerBucketPart=function(e,r,n){var i=this,a=e.parameters,o=a.bucket,s=a.layout,l=a.posMatrix,c=a.textLabelPlaneMatrix,u=a.labelToScreenMatrix,f=a.textPixelRatio,h=a.holdingForFade,p=a.collisionBoxArray,d=a.partiallyEvaluatedTextSize,m=a.collisionGroup,g=s.get(\\\"text-optional\\\"),v=s.get(\\\"icon-optional\\\"),y=s.get(\\\"text-allow-overlap\\\"),x=s.get(\\\"icon-allow-overlap\\\"),b=\\\"map\\\"===s.get(\\\"text-rotation-alignment\\\"),_=\\\"map\\\"===s.get(\\\"text-pitch-alignment\\\"),w=\\\"none\\\"!==s.get(\\\"icon-text-fit\\\"),T=\\\"viewport-y\\\"===s.get(\\\"symbol-z-order\\\"),k=y&&(x||!o.hasIconData()||v),M=x&&(y||!o.hasTextData()||g);!o.collisionArrays&&p&&o.deserializeCollisionBoxes(p);var A=function(e,a){if(!r[e.crossTileID])if(h)i.placements[e.crossTileID]=new ge(!1,!1,!1);else{var p,T=!1,A=!1,S=!0,E=null,L={box:null,offscreen:null},C={box:null,offscreen:null},P=null,I=null,O=0,z=0,D=0;a.textFeatureIndex?O=a.textFeatureIndex:e.useRuntimeCollisionCircles&&(O=e.featureIndex),a.verticalTextFeatureIndex&&(z=a.verticalTextFeatureIndex);var R=a.textBox;if(R){var F=function(r){var n=t.WritingMode.horizontal;if(o.allowVerticalPlacement&&!r&&i.prevPlacement){var a=i.prevPlacement.placedOrientations[e.crossTileID];a&&(i.placedOrientations[e.crossTileID]=a,n=a,i.markUsedOrientation(o,n,e))}return n},B=function(r,n){if(o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&a.verticalTextBox)for(var i=0,s=o.writingModes;i<s.length;i+=1){if(s[i]===t.WritingMode.vertical?(L=n(),C=L):L=r(),L&&L.box&&L.box.length)break}else L=r()};if(s.get(\\\"text-variable-anchor\\\")){var N=s.get(\\\"text-variable-anchor\\\");if(i.prevPlacement&&i.prevPlacement.variableOffsets[e.crossTileID]){var j=i.prevPlacement.variableOffsets[e.crossTileID];N.indexOf(j.anchor)>0&&(N=N.filter((function(t){return t!==j.anchor}))).unshift(j.anchor)}var U=function(t,r,n){for(var a=t.x2-t.x1,s=t.y2-t.y1,c=e.textBoxScale,u=w&&!x?r:null,h={box:[],offscreen:!1},p=y?2*N.length:N.length,d=0;d<p;++d){var g=N[d%N.length],v=d>=N.length,k=i.attemptAnchorPlacement(g,t,a,s,c,b,_,f,l,m,v,e,o,n,u);if(k&&(h=k.placedGlyphBoxes)&&h.box&&h.box.length){T=!0,E=k.shift;break}}return h};B((function(){return U(R,a.iconBox,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox,n=L&&L.box&&L.box.length;return o.allowVerticalPlacement&&!n&&e.numVerticalGlyphVertices>0&&r?U(r,a.verticalIconBox,t.WritingMode.vertical):{box:null,offscreen:null}})),L&&(T=L.box,S=L.offscreen);var V=F(L&&L.box);if(!T&&i.prevPlacement){var q=i.prevPlacement.variableOffsets[e.crossTileID];q&&(i.variableOffsets[e.crossTileID]=q,i.markUsedJustification(o,q.anchor,e,V))}}else{var H=function(t,r){var n=i.collisionIndex.placeCollisionBox(t,y,f,l,m.predicate);return n&&n.box&&n.box.length&&(i.markUsedOrientation(o,r,e),i.placedOrientations[e.crossTileID]=r),n};B((function(){return H(R,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox;return o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&r?H(r,t.WritingMode.vertical):{box:null,offscreen:null}})),F(L&&L.box&&L.box.length)}}if(T=(p=L)&&p.box&&p.box.length>0,S=p&&p.offscreen,e.useRuntimeCollisionCircles){var G=o.text.placedSymbolArray.get(e.centerJustifiedTextSymbolIndex),Y=t.evaluateSizeForFeature(o.textSizeData,d,G),W=s.get(\\\"text-padding\\\"),X=e.collisionCircleDiameter;P=i.collisionIndex.placeCollisionCircles(y,G,o.lineVertexArray,o.glyphOffsetArray,Y,l,c,u,n,_,m.predicate,X,W),T=y||P.circles.length>0&&!P.collisionDetected,S=S&&P.offscreen}if(a.iconFeatureIndex&&(D=a.iconFeatureIndex),a.iconBox){var Z=function(t){var e=w&&E?_e(t,E.x,E.y,b,_,i.transform.angle):t;return i.collisionIndex.placeCollisionBox(e,x,f,l,m.predicate)};A=C&&C.box&&C.box.length&&a.verticalIconBox?(I=Z(a.verticalIconBox)).box.length>0:(I=Z(a.iconBox)).box.length>0,S=S&&I.offscreen}var J=g||0===e.numHorizontalGlyphVertices&&0===e.numVerticalGlyphVertices,K=v||0===e.numIconVertices;if(J||K?K?J||(A=A&&T):T=A&&T:A=T=A&&T,T&&p&&p.box&&(C&&C.box&&z?i.collisionIndex.insertCollisionBox(p.box,s.get(\\\"text-ignore-placement\\\"),o.bucketInstanceId,z,m.ID):i.collisionIndex.insertCollisionBox(p.box,s.get(\\\"text-ignore-placement\\\"),o.bucketInstanceId,O,m.ID)),A&&I&&i.collisionIndex.insertCollisionBox(I.box,s.get(\\\"icon-ignore-placement\\\"),o.bucketInstanceId,D,m.ID),P&&(T&&i.collisionIndex.insertCollisionCircles(P.circles,s.get(\\\"text-ignore-placement\\\"),o.bucketInstanceId,O,m.ID),n)){var Q=o.bucketInstanceId,$=i.collisionCircleArrays[Q];void 0===$&&($=i.collisionCircleArrays[Q]=new ve);for(var tt=0;tt<P.circles.length;tt+=4)$.circles.push(P.circles[tt+0]),$.circles.push(P.circles[tt+1]),$.circles.push(P.circles[tt+2]),$.circles.push(P.collisionDetected?1:0)}i.placements[e.crossTileID]=new ge(T||k,A||M,S||o.justReloaded),r[e.crossTileID]=!0}};if(T)for(var S=o.getSortedSymbolIndexes(this.transform.angle),E=S.length-1;E>=0;--E){var L=S[E];A(o.symbolInstances.get(L),o.collisionArrays[L])}else for(var C=e.symbolInstanceStart;C<e.symbolInstanceEnd;C++)A(o.symbolInstances.get(C),o.collisionArrays[C]);if(n&&o.bucketInstanceId in this.collisionCircleArrays){var P=this.collisionCircleArrays[o.bucketInstanceId];t.invert(P.invProjMatrix,l),P.viewportMatrix=this.collisionIndex.getViewportMatrix()}o.justReloaded=!1},we.prototype.markUsedJustification=function(e,r,n,i){var a,o={left:n.leftJustifiedTextSymbolIndex,center:n.centerJustifiedTextSymbolIndex,right:n.rightJustifiedTextSymbolIndex};a=i===t.WritingMode.vertical?n.verticalPlacedTextSymbolIndex:o[t.getAnchorJustification(r)];for(var s=0,l=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex,n.verticalPlacedTextSymbolIndex];s<l.length;s+=1){var c=l[s];c>=0&&(e.text.placedSymbolArray.get(c).crossTileID=a>=0&&c!==a?0:n.crossTileID)}},we.prototype.markUsedOrientation=function(e,r,n){for(var i=r===t.WritingMode.horizontal||r===t.WritingMode.horizontalOnly?r:0,a=r===t.WritingMode.vertical?r:0,o=0,s=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex];o<s.length;o+=1){var l=s[o];e.text.placedSymbolArray.get(l).placedOrientation=i}n.verticalPlacedTextSymbolIndex&&(e.text.placedSymbolArray.get(n.verticalPlacedTextSymbolIndex).placedOrientation=a)},we.prototype.commit=function(t){this.commitTime=t,this.zoomAtLastRecencyCheck=this.transform.zoom;var e=this.prevPlacement,r=!1;this.prevZoomAdjustment=e?e.zoomAdjustment(this.transform.zoom):0;var n=e?e.symbolFadeChange(t):1,i=e?e.opacities:{},a=e?e.variableOffsets:{},o=e?e.placedOrientations:{};for(var s in this.placements){var l=this.placements[s],c=i[s];c?(this.opacities[s]=new me(c,n,l.text,l.icon),r=r||l.text!==c.text.placed||l.icon!==c.icon.placed):(this.opacities[s]=new me(null,n,l.text,l.icon,l.skipFade),r=r||l.text||l.icon)}for(var u in i){var f=i[u];if(!this.opacities[u]){var h=new me(f,n,!1,!1);h.isHidden()||(this.opacities[u]=h,r=r||f.text.placed||f.icon.placed)}}for(var p in a)this.variableOffsets[p]||!this.opacities[p]||this.opacities[p].isHidden()||(this.variableOffsets[p]=a[p]);for(var d in o)this.placedOrientations[d]||!this.opacities[d]||this.opacities[d].isHidden()||(this.placedOrientations[d]=o[d]);r?this.lastPlacementChangeTime=t:\\\"number\\\"!=typeof this.lastPlacementChangeTime&&(this.lastPlacementChangeTime=e?e.lastPlacementChangeTime:t)},we.prototype.updateLayerOpacities=function(t,e){for(var r={},n=0,i=e;n<i.length;n+=1){var a=i[n],o=a.getBucket(t);o&&a.latestFeatureIndex&&t.id===o.layerIds[0]&&this.updateBucketOpacities(o,r,a.collisionBoxArray)}},we.prototype.updateBucketOpacities=function(e,r,n){var i=this;e.hasTextData()&&e.text.opacityVertexArray.clear(),e.hasIconData()&&e.icon.opacityVertexArray.clear(),e.hasIconCollisionBoxData()&&e.iconCollisionBox.collisionVertexArray.clear(),e.hasTextCollisionBoxData()&&e.textCollisionBox.collisionVertexArray.clear();var a=e.layers[0].layout,o=new me(null,0,!1,!1,!0),s=a.get(\\\"text-allow-overlap\\\"),l=a.get(\\\"icon-allow-overlap\\\"),c=a.get(\\\"text-variable-anchor\\\"),u=\\\"map\\\"===a.get(\\\"text-rotation-alignment\\\"),f=\\\"map\\\"===a.get(\\\"text-pitch-alignment\\\"),h=\\\"none\\\"!==a.get(\\\"icon-text-fit\\\"),p=new me(null,0,s&&(l||!e.hasIconData()||a.get(\\\"icon-optional\\\")),l&&(s||!e.hasTextData()||a.get(\\\"text-optional\\\")),!0);!e.collisionArrays&&n&&(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData())&&e.deserializeCollisionBoxes(n);for(var d=function(t,e,r){for(var n=0;n<e/4;n++)t.opacityVertexArray.emplaceBack(r)},m=function(n){var a=e.symbolInstances.get(n),s=a.numHorizontalGlyphVertices,l=a.numVerticalGlyphVertices,m=a.crossTileID,g=r[m],v=i.opacities[m];g?v=o:v||(v=p,i.opacities[m]=v),r[m]=!0;var y=s>0||l>0,x=a.numIconVertices>0,b=i.placedOrientations[a.crossTileID],_=b===t.WritingMode.vertical,w=b===t.WritingMode.horizontal||b===t.WritingMode.horizontalOnly;if(y){var T=Pe(v.text),k=_?Ie:T;d(e.text,s,k);var M=w?Ie:T;d(e.text,l,M);var A=v.text.isHidden();[a.rightJustifiedTextSymbolIndex,a.centerJustifiedTextSymbolIndex,a.leftJustifiedTextSymbolIndex].forEach((function(t){t>=0&&(e.text.placedSymbolArray.get(t).hidden=A||_?1:0)})),a.verticalPlacedTextSymbolIndex>=0&&(e.text.placedSymbolArray.get(a.verticalPlacedTextSymbolIndex).hidden=A||w?1:0);var S=i.variableOffsets[a.crossTileID];S&&i.markUsedJustification(e,S.anchor,a,b);var E=i.placedOrientations[a.crossTileID];E&&(i.markUsedJustification(e,\\\"left\\\",a,E),i.markUsedOrientation(e,E,a))}if(x){var L=Pe(v.icon),C=!(h&&a.verticalPlacedIconSymbolIndex&&_);if(a.placedIconSymbolIndex>=0){var P=C?L:Ie;d(e.icon,a.numIconVertices,P),e.icon.placedSymbolArray.get(a.placedIconSymbolIndex).hidden=v.icon.isHidden()}if(a.verticalPlacedIconSymbolIndex>=0){var I=C?Ie:L;d(e.icon,a.numVerticalIconVertices,I),e.icon.placedSymbolArray.get(a.verticalPlacedIconSymbolIndex).hidden=v.icon.isHidden()}}if(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData()){var O=e.collisionArrays[n];if(O){var z=new t.Point(0,0);if(O.textBox||O.verticalTextBox){var D=!0;if(c){var R=i.variableOffsets[m];R?(z=be(R.anchor,R.width,R.height,R.textOffset,R.textBoxScale),u&&z._rotate(f?i.transform.angle:-i.transform.angle)):D=!1}O.textBox&&Te(e.textCollisionBox.collisionVertexArray,v.text.placed,!D||_,z.x,z.y),O.verticalTextBox&&Te(e.textCollisionBox.collisionVertexArray,v.text.placed,!D||w,z.x,z.y)}var F=Boolean(!w&&O.verticalIconBox);O.iconBox&&Te(e.iconCollisionBox.collisionVertexArray,v.icon.placed,F,h?z.x:0,h?z.y:0),O.verticalIconBox&&Te(e.iconCollisionBox.collisionVertexArray,v.icon.placed,!F,h?z.x:0,h?z.y:0)}}},g=0;g<e.symbolInstances.length;g++)m(g);if(e.sortFeatures(this.transform.angle),this.retainedQueryData[e.bucketInstanceId]&&(this.retainedQueryData[e.bucketInstanceId].featureSortOrder=e.featureSortOrder),e.hasTextData()&&e.text.opacityVertexBuffer&&e.text.opacityVertexBuffer.updateData(e.text.opacityVertexArray),e.hasIconData()&&e.icon.opacityVertexBuffer&&e.icon.opacityVertexBuffer.updateData(e.icon.opacityVertexArray),e.hasIconCollisionBoxData()&&e.iconCollisionBox.collisionVertexBuffer&&e.iconCollisionBox.collisionVertexBuffer.updateData(e.iconCollisionBox.collisionVertexArray),e.hasTextCollisionBoxData()&&e.textCollisionBox.collisionVertexBuffer&&e.textCollisionBox.collisionVertexBuffer.updateData(e.textCollisionBox.collisionVertexArray),e.bucketInstanceId in this.collisionCircleArrays){var v=this.collisionCircleArrays[e.bucketInstanceId];e.placementInvProjMatrix=v.invProjMatrix,e.placementViewportMatrix=v.viewportMatrix,e.collisionCircleArray=v.circles,delete this.collisionCircleArrays[e.bucketInstanceId]}},we.prototype.symbolFadeChange=function(t){return 0===this.fadeDuration?1:(t-this.commitTime)/this.fadeDuration+this.prevZoomAdjustment},we.prototype.zoomAdjustment=function(t){return Math.max(0,(this.transform.zoom-t)/1.5)},we.prototype.hasTransitions=function(t){return this.stale||t-this.lastPlacementChangeTime<this.fadeDuration},we.prototype.stillRecent=function(t,e){var r=this.zoomAtLastRecencyCheck===e?1-this.zoomAdjustment(e):1;return this.zoomAtLastRecencyCheck=e,this.commitTime+this.fadeDuration*r>t},we.prototype.setStale=function(){this.stale=!0};var ke=Math.pow(2,25),Me=Math.pow(2,24),Ae=Math.pow(2,17),Se=Math.pow(2,16),Ee=Math.pow(2,9),Le=Math.pow(2,8),Ce=Math.pow(2,1);function Pe(t){if(0===t.opacity&&!t.placed)return 0;if(1===t.opacity&&t.placed)return 4294967295;var e=t.placed?1:0,r=Math.floor(127*t.opacity);return r*ke+e*Me+r*Ae+e*Se+r*Ee+e*Le+r*Ce+e}var Ie=0,Oe=function(t){this._sortAcrossTiles=\\\"viewport-y\\\"!==t.layout.get(\\\"symbol-z-order\\\")&&void 0!==t.layout.get(\\\"symbol-sort-key\\\").constantOr(1),this._currentTileIndex=0,this._currentPartIndex=0,this._seenCrossTileIDs={},this._bucketParts=[]};Oe.prototype.continuePlacement=function(t,e,r,n,i){for(var a=this._bucketParts;this._currentTileIndex<t.length;){var o=t[this._currentTileIndex];if(e.getBucketParts(a,n,o,this._sortAcrossTiles),this._currentTileIndex++,i())return!0}for(this._sortAcrossTiles&&(this._sortAcrossTiles=!1,a.sort((function(t,e){return t.sortKey-e.sortKey})));this._currentPartIndex<a.length;){var s=a[this._currentPartIndex];if(e.placeLayerBucketPart(s,this._seenCrossTileIDs,r),this._currentPartIndex++,i())return!0}return!1};var ze=function(t,e,r,n,i,a,o){this.placement=new we(t,i,a,o),this._currentPlacementIndex=e.length-1,this._forceFullPlacement=r,this._showCollisionBoxes=n,this._done=!1};ze.prototype.isDone=function(){return this._done},ze.prototype.continuePlacement=function(e,r,n){for(var i=this,a=t.browser.now(),o=function(){var e=t.browser.now()-a;return!i._forceFullPlacement&&e>2};this._currentPlacementIndex>=0;){var s=r[e[this._currentPlacementIndex]],l=this.placement.collisionIndex.transform.zoom;if(\\\"symbol\\\"===s.type&&(!s.minzoom||s.minzoom<=l)&&(!s.maxzoom||s.maxzoom>l)){if(this._inProgressLayer||(this._inProgressLayer=new Oe(s)),this._inProgressLayer.continuePlacement(n[s.source],this.placement,this._showCollisionBoxes,s,o))return;delete this._inProgressLayer}this._currentPlacementIndex--}this._done=!0},ze.prototype.commit=function(t){return this.placement.commit(t),this.placement};var De=512/t.EXTENT/2,Re=function(t,e,r){this.tileID=t,this.indexedSymbolInstances={},this.bucketInstanceId=r;for(var n=0;n<e.length;n++){var i=e.get(n),a=i.key;this.indexedSymbolInstances[a]||(this.indexedSymbolInstances[a]=[]),this.indexedSymbolInstances[a].push({crossTileID:i.crossTileID,coord:this.getScaledCoordinates(i,t)})}};Re.prototype.getScaledCoordinates=function(e,r){var n=r.canonical.z-this.tileID.canonical.z,i=De/Math.pow(2,n);return{x:Math.floor((r.canonical.x*t.EXTENT+e.anchorX)*i),y:Math.floor((r.canonical.y*t.EXTENT+e.anchorY)*i)}},Re.prototype.findMatches=function(t,e,r){for(var n=this.tileID.canonical.z<e.canonical.z?1:Math.pow(2,this.tileID.canonical.z-e.canonical.z),i=0;i<t.length;i++){var a=t.get(i);if(!a.crossTileID){var o=this.indexedSymbolInstances[a.key];if(o)for(var s=this.getScaledCoordinates(a,e),l=0,c=o;l<c.length;l+=1){var u=c[l];if(Math.abs(u.coord.x-s.x)<=n&&Math.abs(u.coord.y-s.y)<=n&&!r[u.crossTileID]){r[u.crossTileID]=!0,a.crossTileID=u.crossTileID;break}}}}};var Fe=function(){this.maxCrossTileID=0};Fe.prototype.generate=function(){return++this.maxCrossTileID};var Be=function(){this.indexes={},this.usedCrossTileIDs={},this.lng=0};Be.prototype.handleWrapJump=function(t){var e=Math.round((t-this.lng)/360);if(0!==e)for(var r in this.indexes){var n=this.indexes[r],i={};for(var a in n){var o=n[a];o.tileID=o.tileID.unwrapTo(o.tileID.wrap+e),i[o.tileID.key]=o}this.indexes[r]=i}this.lng=t},Be.prototype.addBucket=function(t,e,r){if(this.indexes[t.overscaledZ]&&this.indexes[t.overscaledZ][t.key]){if(this.indexes[t.overscaledZ][t.key].bucketInstanceId===e.bucketInstanceId)return!1;this.removeBucketCrossTileIDs(t.overscaledZ,this.indexes[t.overscaledZ][t.key])}for(var n=0;n<e.symbolInstances.length;n++){e.symbolInstances.get(n).crossTileID=0}this.usedCrossTileIDs[t.overscaledZ]||(this.usedCrossTileIDs[t.overscaledZ]={});var i=this.usedCrossTileIDs[t.overscaledZ];for(var a in this.indexes){var o=this.indexes[a];if(Number(a)>t.overscaledZ)for(var s in o){var l=o[s];l.tileID.isChildOf(t)&&l.findMatches(e.symbolInstances,t,i)}else{var c=o[t.scaledTo(Number(a)).key];c&&c.findMatches(e.symbolInstances,t,i)}}for(var u=0;u<e.symbolInstances.length;u++){var f=e.symbolInstances.get(u);f.crossTileID||(f.crossTileID=r.generate(),i[f.crossTileID]=!0)}return void 0===this.indexes[t.overscaledZ]&&(this.indexes[t.overscaledZ]={}),this.indexes[t.overscaledZ][t.key]=new Re(t,e.symbolInstances,e.bucketInstanceId),!0},Be.prototype.removeBucketCrossTileIDs=function(t,e){for(var r in e.indexedSymbolInstances)for(var n=0,i=e.indexedSymbolInstances[r];n<i.length;n+=1){var a=i[n];delete this.usedCrossTileIDs[t][a.crossTileID]}},Be.prototype.removeStaleBuckets=function(t){var e=!1;for(var r in this.indexes){var n=this.indexes[r];for(var i in n)t[n[i].bucketInstanceId]||(this.removeBucketCrossTileIDs(r,n[i]),delete n[i],e=!0)}return e};var Ne=function(){this.layerIndexes={},this.crossTileIDs=new Fe,this.maxBucketInstanceId=0,this.bucketsInCurrentPlacement={}};Ne.prototype.addLayer=function(t,e,r){var n=this.layerIndexes[t.id];void 0===n&&(n=this.layerIndexes[t.id]=new Be);var i=!1,a={};n.handleWrapJump(r);for(var o=0,s=e;o<s.length;o+=1){var l=s[o],c=l.getBucket(t);c&&t.id===c.layerIds[0]&&(c.bucketInstanceId||(c.bucketInstanceId=++this.maxBucketInstanceId),n.addBucket(l.tileID,c,this.crossTileIDs)&&(i=!0),a[c.bucketInstanceId]=!0)}return n.removeStaleBuckets(a)&&(i=!0),i},Ne.prototype.pruneUnusedLayers=function(t){var e={};for(var r in t.forEach((function(t){e[t]=!0})),this.layerIndexes)e[r]||delete this.layerIndexes[r]};var je=function(e,r){return t.emitValidationErrors(e,r&&r.filter((function(t){return\\\"source.canvas\\\"!==t.identifier})))},Ue=t.pick(Ut,[\\\"addLayer\\\",\\\"removeLayer\\\",\\\"setPaintProperty\\\",\\\"setLayoutProperty\\\",\\\"setFilter\\\",\\\"addSource\\\",\\\"removeSource\\\",\\\"setLayerZoomRange\\\",\\\"setLight\\\",\\\"setTransition\\\",\\\"setGeoJSONSourceData\\\"]),Ve=t.pick(Ut,[\\\"setCenter\\\",\\\"setZoom\\\",\\\"setBearing\\\",\\\"setPitch\\\"]),qe=function(){var e={},r=t.styleSpec.$version;for(var n in t.styleSpec.$root){var i=t.styleSpec.$root[n];if(i.required){var a=null;null!=(a=\\\"version\\\"===n?r:\\\"array\\\"===i.type?[]:{})&&(e[n]=a)}}return e}(),He=function(e){function r(n,i){var a=this;void 0===i&&(i={}),e.call(this),this.map=n,this.dispatcher=new k(Bt(),this),this.imageManager=new h,this.imageManager.setEventedParent(this),this.glyphManager=new x(n._requestManager,i.localIdeographFontFamily),this.lineAtlas=new T(256,512),this.crossTileSymbolIndex=new Ne,this._layers={},this._serializedLayers={},this._order=[],this.sourceCaches={},this.zoomHistory=new t.ZoomHistory,this._loaded=!1,this._availableImages=[],this._resetUpdates(),this.dispatcher.broadcast(\\\"setReferrer\\\",t.getReferrer());var o=this;this._rtlTextPluginCallback=r.registerForPluginStateChange((function(e){var r={pluginStatus:e.pluginStatus,pluginURL:e.pluginURL};o.dispatcher.broadcast(\\\"syncRTLPluginState\\\",r,(function(e,r){if((t.triggerPluginCompletionEvent(e),r)&&r.every((function(t){return t})))for(var n in o.sourceCaches)o.sourceCaches[n].reload()}))})),this.on(\\\"data\\\",(function(t){if(\\\"source\\\"===t.dataType&&\\\"metadata\\\"===t.sourceDataType){var e=a.sourceCaches[t.sourceId];if(e){var r=e.getSource();if(r&&r.vectorLayerIds)for(var n in a._layers){var i=a._layers[n];i.source===r.id&&a._validateLayer(i)}}}}))}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.loadURL=function(e,r){var n=this;void 0===r&&(r={}),this.fire(new t.Event(\\\"dataloading\\\",{dataType:\\\"style\\\"}));var i=\\\"boolean\\\"==typeof r.validate?r.validate:!t.isMapboxURL(e);e=this.map._requestManager.normalizeStyleURL(e,r.accessToken);var a=this.map._requestManager.transformRequest(e,t.ResourceType.Style);this._request=t.getJSON(a,(function(e,r){n._request=null,e?n.fire(new t.ErrorEvent(e)):r&&n._load(r,i)}))},r.prototype.loadJSON=function(e,r){var n=this;void 0===r&&(r={}),this.fire(new t.Event(\\\"dataloading\\\",{dataType:\\\"style\\\"})),this._request=t.browser.frame((function(){n._request=null,n._load(e,!1!==r.validate)}))},r.prototype.loadEmpty=function(){this.fire(new t.Event(\\\"dataloading\\\",{dataType:\\\"style\\\"})),this._load(qe,!1)},r.prototype._load=function(e,r){if(!r||!je(this,t.validateStyle(e))){for(var n in this._loaded=!0,this.stylesheet=e,e.sources)this.addSource(n,e.sources[n],{validate:!1});e.sprite?this._loadSprite(e.sprite):this.imageManager.setLoaded(!0),this.glyphManager.setURL(e.glyphs);var i=jt(this.stylesheet.layers);this._order=i.map((function(t){return t.id})),this._layers={},this._serializedLayers={};for(var a=0,o=i;a<o.length;a+=1){var s=o[a];(s=t.createStyleLayer(s)).setEventedParent(this,{layer:{id:s.id}}),this._layers[s.id]=s,this._serializedLayers[s.id]=s.serialize()}this.dispatcher.broadcast(\\\"setLayers\\\",this._serializeLayers(this._order)),this.light=new w(this.stylesheet.light),this.fire(new t.Event(\\\"data\\\",{dataType:\\\"style\\\"})),this.fire(new t.Event(\\\"style.load\\\"))}},r.prototype._loadSprite=function(e){var r=this;this._spriteRequest=function(e,r,n){var i,a,o,s=t.browser.devicePixelRatio>1?\\\"@2x\\\":\\\"\\\",l=t.getJSON(r.transformRequest(r.normalizeSpriteURL(e,s,\\\".json\\\"),t.ResourceType.SpriteJSON),(function(t,e){l=null,o||(o=t,i=e,u())})),c=t.getImage(r.transformRequest(r.normalizeSpriteURL(e,s,\\\".png\\\"),t.ResourceType.SpriteImage),(function(t,e){c=null,o||(o=t,a=e,u())}));function u(){if(o)n(o);else if(i&&a){var e=t.browser.getImageData(a),r={};for(var s in i){var l=i[s],c=l.width,u=l.height,f=l.x,h=l.y,p=l.sdf,d=l.pixelRatio,m=l.stretchX,g=l.stretchY,v=l.content,y=new t.RGBAImage({width:c,height:u});t.RGBAImage.copy(e,y,{x:f,y:h},{x:0,y:0},{width:c,height:u}),r[s]={data:y,pixelRatio:d,sdf:p,stretchX:m,stretchY:g,content:v}}n(null,r)}}return{cancel:function(){l&&(l.cancel(),l=null),c&&(c.cancel(),c=null)}}}(e,this.map._requestManager,(function(e,n){if(r._spriteRequest=null,e)r.fire(new t.ErrorEvent(e));else if(n)for(var i in n)r.imageManager.addImage(i,n[i]);r.imageManager.setLoaded(!0),r._availableImages=r.imageManager.listImages(),r.dispatcher.broadcast(\\\"setImages\\\",r._availableImages),r.fire(new t.Event(\\\"data\\\",{dataType:\\\"style\\\"}))}))},r.prototype._validateLayer=function(e){var r=this.sourceCaches[e.source];if(r){var n=e.sourceLayer;if(n){var i=r.getSource();(\\\"geojson\\\"===i.type||i.vectorLayerIds&&-1===i.vectorLayerIds.indexOf(n))&&this.fire(new t.ErrorEvent(new Error('Source layer \\\"'+n+'\\\" does not exist on source \\\"'+i.id+'\\\" as specified by style layer \\\"'+e.id+'\\\"')))}}},r.prototype.loaded=function(){if(!this._loaded)return!1;if(Object.keys(this._updatedSources).length)return!1;for(var t in this.sourceCaches)if(!this.sourceCaches[t].loaded())return!1;return!!this.imageManager.isLoaded()},r.prototype._serializeLayers=function(t){for(var e=[],r=0,n=t;r<n.length;r+=1){var i=n[r],a=this._layers[i];\\\"custom\\\"!==a.type&&e.push(a.serialize())}return e},r.prototype.hasTransitions=function(){if(this.light&&this.light.hasTransition())return!0;for(var t in this.sourceCaches)if(this.sourceCaches[t].hasTransition())return!0;for(var e in this._layers)if(this._layers[e].hasTransition())return!0;return!1},r.prototype._checkLoaded=function(){if(!this._loaded)throw new Error(\\\"Style is not done loading\\\")},r.prototype.update=function(e){if(this._loaded){var r=this._changed;if(this._changed){var n=Object.keys(this._updatedLayers),i=Object.keys(this._removedLayers);for(var a in(n.length||i.length)&&this._updateWorkerLayers(n,i),this._updatedSources){var o=this._updatedSources[a];\\\"reload\\\"===o?this._reloadSource(a):\\\"clear\\\"===o&&this._clearSource(a)}for(var s in this._updateTilesForChangedImages(),this._updatedPaintProps)this._layers[s].updateTransitions(e);this.light.updateTransitions(e),this._resetUpdates()}for(var l in this.sourceCaches)this.sourceCaches[l].used=!1;for(var c=0,u=this._order;c<u.length;c+=1){var f=u[c],h=this._layers[f];h.recalculate(e,this._availableImages),!h.isHidden(e.zoom)&&h.source&&(this.sourceCaches[h.source].used=!0)}this.light.recalculate(e),this.z=e.zoom,r&&this.fire(new t.Event(\\\"data\\\",{dataType:\\\"style\\\"}))}},r.prototype._updateTilesForChangedImages=function(){var t=Object.keys(this._changedImages);if(t.length){for(var e in this.sourceCaches)this.sourceCaches[e].reloadTilesForDependencies([\\\"icons\\\",\\\"patterns\\\"],t);this._changedImages={}}},r.prototype._updateWorkerLayers=function(t,e){this.dispatcher.broadcast(\\\"updateLayers\\\",{layers:this._serializeLayers(t),removedIds:e})},r.prototype._resetUpdates=function(){this._changed=!1,this._updatedLayers={},this._removedLayers={},this._updatedSources={},this._updatedPaintProps={},this._changedImages={}},r.prototype.setState=function(e){var r=this;if(this._checkLoaded(),je(this,t.validateStyle(e)))return!1;(e=t.clone$1(e)).layers=jt(e.layers);var n=Zt(this.serialize(),e).filter((function(t){return!(t.command in Ve)}));if(0===n.length)return!1;var i=n.filter((function(t){return!(t.command in Ue)}));if(i.length>0)throw new Error(\\\"Unimplemented: \\\"+i.map((function(t){return t.command})).join(\\\", \\\")+\\\".\\\");return n.forEach((function(t){\\\"setTransition\\\"!==t.command&&r[t.command].apply(r,t.args)})),this.stylesheet=e,!0},r.prototype.addImage=function(e,r){if(this.getImage(e))return this.fire(new t.ErrorEvent(new Error(\\\"An image with this name already exists.\\\")));this.imageManager.addImage(e,r),this._availableImages=this.imageManager.listImages(),this._changedImages[e]=!0,this._changed=!0,this.fire(new t.Event(\\\"data\\\",{dataType:\\\"style\\\"}))},r.prototype.updateImage=function(t,e){this.imageManager.updateImage(t,e)},r.prototype.getImage=function(t){return this.imageManager.getImage(t)},r.prototype.removeImage=function(e){if(!this.getImage(e))return this.fire(new t.ErrorEvent(new Error(\\\"No image with this name exists.\\\")));this.imageManager.removeImage(e),this._availableImages=this.imageManager.listImages(),this._changedImages[e]=!0,this._changed=!0,this.fire(new t.Event(\\\"data\\\",{dataType:\\\"style\\\"}))},r.prototype.listImages=function(){return this._checkLoaded(),this.imageManager.listImages()},r.prototype.addSource=function(e,r,n){var i=this;if(void 0===n&&(n={}),this._checkLoaded(),void 0!==this.sourceCaches[e])throw new Error(\\\"There is already a source with this ID\\\");if(!r.type)throw new Error(\\\"The type property must be defined, but the only the following properties were given: \\\"+Object.keys(r).join(\\\", \\\")+\\\".\\\");if(!([\\\"vector\\\",\\\"raster\\\",\\\"geojson\\\",\\\"video\\\",\\\"image\\\"].indexOf(r.type)>=0)||!this._validate(t.validateStyle.source,\\\"sources.\\\"+e,r,null,n)){this.map&&this.map._collectResourceTiming&&(r.collectResourceTiming=!0);var a=this.sourceCaches[e]=new Ct(e,r,this.dispatcher);a.style=this,a.setEventedParent(this,(function(){return{isSourceLoaded:i.loaded(),source:a.serialize(),sourceId:e}})),a.onAdd(this.map),this._changed=!0}},r.prototype.removeSource=function(e){if(this._checkLoaded(),void 0===this.sourceCaches[e])throw new Error(\\\"There is no source with this ID\\\");for(var r in this._layers)if(this._layers[r].source===e)return this.fire(new t.ErrorEvent(new Error('Source \\\"'+e+'\\\" cannot be removed while layer \\\"'+r+'\\\" is using it.')));var n=this.sourceCaches[e];delete this.sourceCaches[e],delete this._updatedSources[e],n.fire(new t.Event(\\\"data\\\",{sourceDataType:\\\"metadata\\\",dataType:\\\"source\\\",sourceId:e})),n.setEventedParent(null),n.clearTiles(),n.onRemove&&n.onRemove(this.map),this._changed=!0},r.prototype.setGeoJSONSourceData=function(t,e){this._checkLoaded(),this.sourceCaches[t].getSource().setData(e),this._changed=!0},r.prototype.getSource=function(t){return this.sourceCaches[t]&&this.sourceCaches[t].getSource()},r.prototype.addLayer=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var i=e.id;if(this.getLayer(i))this.fire(new t.ErrorEvent(new Error('Layer with id \\\"'+i+'\\\" already exists on this map')));else{var a;if(\\\"custom\\\"===e.type){if(je(this,t.validateCustomStyleLayer(e)))return;a=t.createStyleLayer(e)}else{if(\\\"object\\\"==typeof e.source&&(this.addSource(i,e.source),e=t.clone$1(e),e=t.extend(e,{source:i})),this._validate(t.validateStyle.layer,\\\"layers.\\\"+i,e,{arrayIndex:-1},n))return;a=t.createStyleLayer(e),this._validateLayer(a),a.setEventedParent(this,{layer:{id:i}}),this._serializedLayers[a.id]=a.serialize()}var o=r?this._order.indexOf(r):this._order.length;if(r&&-1===o)this.fire(new t.ErrorEvent(new Error('Layer with id \\\"'+r+'\\\" does not exist on this map.')));else{if(this._order.splice(o,0,i),this._layerOrderChanged=!0,this._layers[i]=a,this._removedLayers[i]&&a.source&&\\\"custom\\\"!==a.type){var s=this._removedLayers[i];delete this._removedLayers[i],s.type!==a.type?this._updatedSources[a.source]=\\\"clear\\\":(this._updatedSources[a.source]=\\\"reload\\\",this.sourceCaches[a.source].pause())}this._updateLayer(a),a.onAdd&&a.onAdd(this.map)}}},r.prototype.moveLayer=function(e,r){if(this._checkLoaded(),this._changed=!0,this._layers[e]){if(e!==r){var n=this._order.indexOf(e);this._order.splice(n,1);var i=r?this._order.indexOf(r):this._order.length;r&&-1===i?this.fire(new t.ErrorEvent(new Error('Layer with id \\\"'+r+'\\\" does not exist on this map.'))):(this._order.splice(i,0,e),this._layerOrderChanged=!0)}}else this.fire(new t.ErrorEvent(new Error(\\\"The layer '\\\"+e+\\\"' does not exist in the map's style and cannot be moved.\\\")))},r.prototype.removeLayer=function(e){this._checkLoaded();var r=this._layers[e];if(r){r.setEventedParent(null);var n=this._order.indexOf(e);this._order.splice(n,1),this._layerOrderChanged=!0,this._changed=!0,this._removedLayers[e]=r,delete this._layers[e],delete this._serializedLayers[e],delete this._updatedLayers[e],delete this._updatedPaintProps[e],r.onRemove&&r.onRemove(this.map)}else this.fire(new t.ErrorEvent(new Error(\\\"The layer '\\\"+e+\\\"' does not exist in the map's style and cannot be removed.\\\")))},r.prototype.getLayer=function(t){return this._layers[t]},r.prototype.hasLayer=function(t){return t in this._layers},r.prototype.setLayerZoomRange=function(e,r,n){this._checkLoaded();var i=this.getLayer(e);i?i.minzoom===r&&i.maxzoom===n||(null!=r&&(i.minzoom=r),null!=n&&(i.maxzoom=n),this._updateLayer(i)):this.fire(new t.ErrorEvent(new Error(\\\"The layer '\\\"+e+\\\"' does not exist in the map's style and cannot have zoom extent.\\\")))},r.prototype.setFilter=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var i=this.getLayer(e);if(i){if(!t.deepEqual(i.filter,r))return null==r?(i.filter=void 0,void this._updateLayer(i)):void(this._validate(t.validateStyle.filter,\\\"layers.\\\"+i.id+\\\".filter\\\",r,null,n)||(i.filter=t.clone$1(r),this._updateLayer(i)))}else this.fire(new t.ErrorEvent(new Error(\\\"The layer '\\\"+e+\\\"' does not exist in the map's style and cannot be filtered.\\\")))},r.prototype.getFilter=function(e){return t.clone$1(this.getLayer(e).filter)},r.prototype.setLayoutProperty=function(e,r,n,i){void 0===i&&(i={}),this._checkLoaded();var a=this.getLayer(e);a?t.deepEqual(a.getLayoutProperty(r),n)||(a.setLayoutProperty(r,n,i),this._updateLayer(a)):this.fire(new t.ErrorEvent(new Error(\\\"The layer '\\\"+e+\\\"' does not exist in the map's style and cannot be styled.\\\")))},r.prototype.getLayoutProperty=function(e,r){var n=this.getLayer(e);if(n)return n.getLayoutProperty(r);this.fire(new t.ErrorEvent(new Error(\\\"The layer '\\\"+e+\\\"' does not exist in the map's style.\\\")))},r.prototype.setPaintProperty=function(e,r,n,i){void 0===i&&(i={}),this._checkLoaded();var a=this.getLayer(e);a?t.deepEqual(a.getPaintProperty(r),n)||(a.setPaintProperty(r,n,i)&&this._updateLayer(a),this._changed=!0,this._updatedPaintProps[e]=!0):this.fire(new t.ErrorEvent(new Error(\\\"The layer '\\\"+e+\\\"' does not exist in the map's style and cannot be styled.\\\")))},r.prototype.getPaintProperty=function(t,e){return this.getLayer(t).getPaintProperty(e)},r.prototype.setFeatureState=function(e,r){this._checkLoaded();var n=e.source,i=e.sourceLayer,a=this.sourceCaches[n];if(void 0!==a){var o=a.getSource().type;\\\"geojson\\\"===o&&i?this.fire(new t.ErrorEvent(new Error(\\\"GeoJSON sources cannot have a sourceLayer parameter.\\\"))):\\\"vector\\\"!==o||i?(void 0===e.id&&this.fire(new t.ErrorEvent(new Error(\\\"The feature id parameter must be provided.\\\"))),a.setFeatureState(i,e.id,r)):this.fire(new t.ErrorEvent(new Error(\\\"The sourceLayer parameter must be provided for vector source types.\\\")))}else this.fire(new t.ErrorEvent(new Error(\\\"The source '\\\"+n+\\\"' does not exist in the map's style.\\\")))},r.prototype.removeFeatureState=function(e,r){this._checkLoaded();var n=e.source,i=this.sourceCaches[n];if(void 0!==i){var a=i.getSource().type,o=\\\"vector\\\"===a?e.sourceLayer:void 0;\\\"vector\\\"!==a||o?r&&\\\"string\\\"!=typeof e.id&&\\\"number\\\"!=typeof e.id?this.fire(new t.ErrorEvent(new Error(\\\"A feature id is requred to remove its specific state property.\\\"))):i.removeFeatureState(o,e.id,r):this.fire(new t.ErrorEvent(new Error(\\\"The sourceLayer parameter must be provided for vector source types.\\\")))}else this.fire(new t.ErrorEvent(new Error(\\\"The source '\\\"+n+\\\"' does not exist in the map's style.\\\")))},r.prototype.getFeatureState=function(e){this._checkLoaded();var r=e.source,n=e.sourceLayer,i=this.sourceCaches[r];if(void 0!==i){if(\\\"vector\\\"!==i.getSource().type||n)return void 0===e.id&&this.fire(new t.ErrorEvent(new Error(\\\"The feature id parameter must be provided.\\\"))),i.getFeatureState(n,e.id);this.fire(new t.ErrorEvent(new Error(\\\"The sourceLayer parameter must be provided for vector source types.\\\")))}else this.fire(new t.ErrorEvent(new Error(\\\"The source '\\\"+r+\\\"' does not exist in the map's style.\\\")))},r.prototype.getTransition=function(){return t.extend({duration:300,delay:0},this.stylesheet&&this.stylesheet.transition)},r.prototype.serialize=function(){return t.filterObject({version:this.stylesheet.version,name:this.stylesheet.name,metadata:this.stylesheet.metadata,light:this.stylesheet.light,center:this.stylesheet.center,zoom:this.stylesheet.zoom,bearing:this.stylesheet.bearing,pitch:this.stylesheet.pitch,sprite:this.stylesheet.sprite,glyphs:this.stylesheet.glyphs,transition:this.stylesheet.transition,sources:t.mapObject(this.sourceCaches,(function(t){return t.serialize()})),layers:this._serializeLayers(this._order)},(function(t){return void 0!==t}))},r.prototype._updateLayer=function(t){this._updatedLayers[t.id]=!0,t.source&&!this._updatedSources[t.source]&&\\\"raster\\\"!==this.sourceCaches[t.source].getSource().type&&(this._updatedSources[t.source]=\\\"reload\\\",this.sourceCaches[t.source].pause()),this._changed=!0},r.prototype._flattenAndSortRenderedFeatures=function(t){for(var e=this,r=function(t){return\\\"fill-extrusion\\\"===e._layers[t].type},n={},i=[],a=this._order.length-1;a>=0;a--){var o=this._order[a];if(r(o)){n[o]=a;for(var s=0,l=t;s<l.length;s+=1){var c=l[s][o];if(c)for(var u=0,f=c;u<f.length;u+=1){var h=f[u];i.push(h)}}}}i.sort((function(t,e){return e.intersectionZ-t.intersectionZ}));for(var p=[],d=this._order.length-1;d>=0;d--){var m=this._order[d];if(r(m))for(var g=i.length-1;g>=0;g--){var v=i[g].feature;if(n[v.layer.id]<d)break;p.push(v),i.pop()}else for(var y=0,x=t;y<x.length;y+=1){var b=x[y][m];if(b)for(var _=0,w=b;_<w.length;_+=1){var T=w[_];p.push(T.feature)}}}return p},r.prototype.queryRenderedFeatures=function(e,r,n){r&&r.filter&&this._validate(t.validateStyle.filter,\\\"queryRenderedFeatures.filter\\\",r.filter,null,r);var i={};if(r&&r.layers){if(!Array.isArray(r.layers))return this.fire(new t.ErrorEvent(new Error(\\\"parameters.layers must be an Array.\\\"))),[];for(var a=0,o=r.layers;a<o.length;a+=1){var s=o[a],l=this._layers[s];if(!l)return this.fire(new t.ErrorEvent(new Error(\\\"The layer '\\\"+s+\\\"' does not exist in the map's style and cannot be queried for features.\\\"))),[];i[l.source]=!0}}var c=[];for(var u in r.availableImages=this._availableImages,this.sourceCaches)r.layers&&!i[u]||c.push(F(this.sourceCaches[u],this._layers,this._serializedLayers,e,r,n));return this.placement&&c.push(function(t,e,r,n,i,a,o){for(var s={},l=a.queryRenderedSymbols(n),c=[],u=0,f=Object.keys(l).map(Number);u<f.length;u+=1){var h=f[u];c.push(o[h])}c.sort(B);for(var p=function(){var r=m[d],n=r.featureIndex.lookupSymbolFeatures(l[r.bucketInstanceId],e,r.bucketIndex,r.sourceLayerIndex,i.filter,i.layers,i.availableImages,t);for(var a in n){var o=s[a]=s[a]||[],c=n[a];c.sort((function(t,e){var n=r.featureSortOrder;if(n){var i=n.indexOf(t.featureIndex);return n.indexOf(e.featureIndex)-i}return e.featureIndex-t.featureIndex}));for(var u=0,f=c;u<f.length;u+=1){var h=f[u];o.push(h)}}},d=0,m=c;d<m.length;d+=1)p();var g=function(e){s[e].forEach((function(n){var i=n.feature,a=t[e],o=r[a.source].getFeatureState(i.layer[\\\"source-layer\\\"],i.id);i.source=i.layer.source,i.layer[\\\"source-layer\\\"]&&(i.sourceLayer=i.layer[\\\"source-layer\\\"]),i.state=o}))};for(var v in s)g(v);return s}(this._layers,this._serializedLayers,this.sourceCaches,e,r,this.placement.collisionIndex,this.placement.retainedQueryData)),this._flattenAndSortRenderedFeatures(c)},r.prototype.querySourceFeatures=function(e,r){r&&r.filter&&this._validate(t.validateStyle.filter,\\\"querySourceFeatures.filter\\\",r.filter,null,r);var n=this.sourceCaches[e];return n?function(t,e){for(var r=t.getRenderableIds().map((function(e){return t.getTileByID(e)})),n=[],i={},a=0;a<r.length;a++){var o=r[a],s=o.tileID.canonical.key;i[s]||(i[s]=!0,o.querySourceFeatures(n,e))}return n}(n,r):[]},r.prototype.addSourceType=function(t,e,n){return r.getSourceType(t)?n(new Error('A source type called \\\"'+t+'\\\" already exists.')):(r.setSourceType(t,e),e.workerSourceURL?void this.dispatcher.broadcast(\\\"loadWorkerSource\\\",{name:t,url:e.workerSourceURL},n):n(null,null))},r.prototype.getLight=function(){return this.light.getLight()},r.prototype.setLight=function(e,r){void 0===r&&(r={}),this._checkLoaded();var n=this.light.getLight(),i=!1;for(var a in e)if(!t.deepEqual(e[a],n[a])){i=!0;break}if(i){var o={now:t.browser.now(),transition:t.extend({duration:300,delay:0},this.stylesheet.transition)};this.light.setLight(e,r),this.light.updateTransitions(o)}},r.prototype._validate=function(e,r,n,i,a){return void 0===a&&(a={}),(!a||!1!==a.validate)&&je(this,e.call(t.validateStyle,t.extend({key:r,style:this.serialize(),value:n,styleSpec:t.styleSpec},i)))},r.prototype._remove=function(){for(var e in this._request&&(this._request.cancel(),this._request=null),this._spriteRequest&&(this._spriteRequest.cancel(),this._spriteRequest=null),t.evented.off(\\\"pluginStateChange\\\",this._rtlTextPluginCallback),this._layers){this._layers[e].setEventedParent(null)}for(var r in this.sourceCaches)this.sourceCaches[r].clearTiles(),this.sourceCaches[r].setEventedParent(null);this.imageManager.setEventedParent(null),this.setEventedParent(null),this.dispatcher.remove()},r.prototype._clearSource=function(t){this.sourceCaches[t].clearTiles()},r.prototype._reloadSource=function(t){this.sourceCaches[t].resume(),this.sourceCaches[t].reload()},r.prototype._updateSources=function(t){for(var e in this.sourceCaches)this.sourceCaches[e].update(t)},r.prototype._generateCollisionBoxes=function(){for(var t in this.sourceCaches)this._reloadSource(t)},r.prototype._updatePlacement=function(e,r,n,i,a){void 0===a&&(a=!1);for(var o=!1,s=!1,l={},c=0,u=this._order;c<u.length;c+=1){var f=u[c],h=this._layers[f];if(\\\"symbol\\\"===h.type){if(!l[h.source]){var p=this.sourceCaches[h.source];l[h.source]=p.getRenderableIds(!0).map((function(t){return p.getTileByID(t)})).sort((function(t,e){return e.tileID.overscaledZ-t.tileID.overscaledZ||(t.tileID.isLessThan(e.tileID)?-1:1)}))}var d=this.crossTileSymbolIndex.addLayer(h,l[h.source],e.center.lng);o=o||d}}if(this.crossTileSymbolIndex.pruneUnusedLayers(this._order),((a=a||this._layerOrderChanged||0===n)||!this.pauseablePlacement||this.pauseablePlacement.isDone()&&!this.placement.stillRecent(t.browser.now(),e.zoom))&&(this.pauseablePlacement=new ze(e,this._order,a,r,n,i,this.placement),this._layerOrderChanged=!1),this.pauseablePlacement.isDone()?this.placement.setStale():(this.pauseablePlacement.continuePlacement(this._order,this._layers,l),this.pauseablePlacement.isDone()&&(this.placement=this.pauseablePlacement.commit(t.browser.now()),s=!0),o&&this.pauseablePlacement.placement.setStale()),s||o)for(var m=0,g=this._order;m<g.length;m+=1){var v=g[m],y=this._layers[v];\\\"symbol\\\"===y.type&&this.placement.updateLayerOpacities(y,l[y.source])}return!this.pauseablePlacement.isDone()||this.placement.hasTransitions(t.browser.now())},r.prototype._releaseSymbolFadeTiles=function(){for(var t in this.sourceCaches)this.sourceCaches[t].releaseSymbolFadeTiles()},r.prototype.getImages=function(t,e,r){this.imageManager.getImages(e.icons,r),this._updateTilesForChangedImages();var n=this.sourceCaches[e.source];n&&n.setDependencies(e.tileID.key,e.type,e.icons)},r.prototype.getGlyphs=function(t,e,r){this.glyphManager.getGlyphs(e.stacks,r)},r.prototype.getResource=function(e,r,n){return t.makeRequest(r,n)},r}(t.Evented);He.getSourceType=function(t){return D[t]},He.setSourceType=function(t,e){D[t]=e},He.registerForPluginStateChange=t.registerForPluginStateChange;var Ge=t.createLayout([{name:\\\"a_pos\\\",type:\\\"Int16\\\",components:2}]),Ye=yr(\\\"#ifdef GL_ES\\\\nprecision mediump float;\\\\n#else\\\\n#if !defined(lowp)\\\\n#define lowp\\\\n#endif\\\\n#if !defined(mediump)\\\\n#define mediump\\\\n#endif\\\\n#if !defined(highp)\\\\n#define highp\\\\n#endif\\\\n#endif\\\",\\\"#ifdef GL_ES\\\\nprecision highp float;\\\\n#else\\\\n#if !defined(lowp)\\\\n#define lowp\\\\n#endif\\\\n#if !defined(mediump)\\\\n#define mediump\\\\n#endif\\\\n#if !defined(highp)\\\\n#define highp\\\\n#endif\\\\n#endif\\\\nvec2 unpack_float(const float packedValue) {int packedIntValue=int(packedValue);int v0=packedIntValue/256;return vec2(v0,packedIntValue-v0*256);}vec2 unpack_opacity(const float packedOpacity) {int intOpacity=int(packedOpacity)/2;return vec2(float(intOpacity)/127.0,mod(packedOpacity,2.0));}vec4 decode_color(const vec2 encodedColor) {return vec4(unpack_float(encodedColor[0])/255.0,unpack_float(encodedColor[1])/255.0\\\\n);}float unpack_mix_vec2(const vec2 packedValue,const float t) {return mix(packedValue[0],packedValue[1],t);}vec4 unpack_mix_color(const vec4 packedColors,const float t) {vec4 minColor=decode_color(vec2(packedColors[0],packedColors[1]));vec4 maxColor=decode_color(vec2(packedColors[2],packedColors[3]));return mix(minColor,maxColor,t);}vec2 get_pattern_pos(const vec2 pixel_coord_upper,const vec2 pixel_coord_lower,const vec2 pattern_size,const float tile_units_to_pixels,const vec2 pos) {vec2 offset=mod(mod(mod(pixel_coord_upper,pattern_size)*256.0,pattern_size)*256.0+pixel_coord_lower,pattern_size);return (tile_units_to_pixels*pos+offset)/pattern_size;}\\\"),We=yr(\\\"uniform vec4 u_color;uniform float u_opacity;void main() {gl_FragColor=u_color*u_opacity;\\\\n#ifdef OVERDRAW_INSPECTOR\\\\ngl_FragColor=vec4(1.0);\\\\n#endif\\\\n}\\\",\\\"attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}\\\"),Xe=yr(\\\"uniform vec2 u_pattern_tl_a;uniform vec2 u_pattern_br_a;uniform vec2 u_pattern_tl_b;uniform vec2 u_pattern_br_b;uniform vec2 u_texsize;uniform float u_mix;uniform float u_opacity;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(u_pattern_tl_a/u_texsize,u_pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(u_pattern_tl_b/u_texsize,u_pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_mix)*u_opacity;\\\\n#ifdef OVERDRAW_INSPECTOR\\\\ngl_FragColor=vec4(1.0);\\\\n#endif\\\\n}\\\",\\\"uniform mat4 u_matrix;uniform vec2 u_pattern_size_a;uniform vec2 u_pattern_size_b;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_scale_a;uniform float u_scale_b;uniform float u_tile_units_to_pixels;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_a*u_pattern_size_a,u_tile_units_to_pixels,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_b*u_pattern_size_b,u_tile_units_to_pixels,a_pos);}\\\"),Ze=yr(\\\"varying vec3 v_data;\\\\n#pragma mapbox: define highp vec4 color\\\\n#pragma mapbox: define mediump float radius\\\\n#pragma mapbox: define lowp float blur\\\\n#pragma mapbox: define lowp float opacity\\\\n#pragma mapbox: define highp vec4 stroke_color\\\\n#pragma mapbox: define mediump float stroke_width\\\\n#pragma mapbox: define lowp float stroke_opacity\\\\nvoid main() {\\\\n#pragma mapbox: initialize highp vec4 color\\\\n#pragma mapbox: initialize mediump float radius\\\\n#pragma mapbox: initialize lowp float blur\\\\n#pragma mapbox: initialize lowp float opacity\\\\n#pragma mapbox: initialize highp vec4 stroke_color\\\\n#pragma mapbox: initialize mediump float stroke_width\\\\n#pragma mapbox: initialize lowp float stroke_opacity\\\\nvec2 extrude=v_data.xy;float extrude_length=length(extrude);lowp float antialiasblur=v_data.z;float antialiased_blur=-max(blur,antialiasblur);float opacity_t=smoothstep(0.0,antialiased_blur,extrude_length-1.0);float color_t=stroke_width < 0.01 ? 0.0 : smoothstep(antialiased_blur,0.0,extrude_length-radius/(radius+stroke_width));gl_FragColor=opacity_t*mix(color*opacity,stroke_color*stroke_opacity,color_t);\\\\n#ifdef OVERDRAW_INSPECTOR\\\\ngl_FragColor=vec4(1.0);\\\\n#endif\\\\n}\\\",\\\"uniform mat4 u_matrix;uniform bool u_scale_with_map;uniform bool u_pitch_with_map;uniform vec2 u_extrude_scale;uniform lowp float u_device_pixel_ratio;uniform highp float u_camera_to_center_distance;attribute vec2 a_pos;varying vec3 v_data;\\\\n#pragma mapbox: define highp vec4 color\\\\n#pragma mapbox: define mediump float radius\\\\n#pragma mapbox: define lowp float blur\\\\n#pragma mapbox: define lowp float opacity\\\\n#pragma mapbox: define highp vec4 stroke_color\\\\n#pragma mapbox: define mediump float stroke_width\\\\n#pragma mapbox: define lowp float stroke_opacity\\\\nvoid main(void) {\\\\n#pragma mapbox: initialize highp vec4 color\\\\n#pragma mapbox: initialize mediump float radius\\\\n#pragma mapbox: initialize lowp float blur\\\\n#pragma mapbox: initialize lowp float opacity\\\\n#pragma mapbox: initialize highp vec4 stroke_color\\\\n#pragma mapbox: initialize mediump float stroke_width\\\\n#pragma mapbox: initialize lowp float stroke_opacity\\\\nvec2 extrude=vec2(mod(a_pos,2.0)*2.0-1.0);vec2 circle_center=floor(a_pos*0.5);if (u_pitch_with_map) {vec2 corner_position=circle_center;if (u_scale_with_map) {corner_position+=extrude*(radius+stroke_width)*u_extrude_scale;} else {vec4 projected_center=u_matrix*vec4(circle_center,0,1);corner_position+=extrude*(radius+stroke_width)*u_extrude_scale*(projected_center.w/u_camera_to_center_distance);}gl_Position=u_matrix*vec4(corner_position,0,1);} else {gl_Position=u_matrix*vec4(circle_center,0,1);if (u_scale_with_map) {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*u_camera_to_center_distance;} else {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*gl_Position.w;}}lowp float antialiasblur=1.0/u_device_pixel_ratio/(radius+stroke_width);v_data=vec3(extrude.x,extrude.y,antialiasblur);}\\\"),Je=yr(\\\"void main() {gl_FragColor=vec4(1.0);}\\\",\\\"attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}\\\"),Ke=yr(\\\"uniform highp float u_intensity;varying vec2 v_extrude;\\\\n#pragma mapbox: define highp float weight\\\\n#define GAUSS_COEF 0.3989422804014327\\\\nvoid main() {\\\\n#pragma mapbox: initialize highp float weight\\\\nfloat d=-0.5*3.0*3.0*dot(v_extrude,v_extrude);float val=weight*u_intensity*GAUSS_COEF*exp(d);gl_FragColor=vec4(val,1.0,1.0,1.0);\\\\n#ifdef OVERDRAW_INSPECTOR\\\\ngl_FragColor=vec4(1.0);\\\\n#endif\\\\n}\\\",\\\"uniform mat4 u_matrix;uniform float u_extrude_scale;uniform float u_opacity;uniform float u_intensity;attribute vec2 a_pos;varying vec2 v_extrude;\\\\n#pragma mapbox: define highp float weight\\\\n#pragma mapbox: define mediump float radius\\\\nconst highp float ZERO=1.0/255.0/16.0;\\\\n#define GAUSS_COEF 0.3989422804014327\\\\nvoid main(void) {\\\\n#pragma mapbox: initialize highp float weight\\\\n#pragma mapbox: initialize mediump float radius\\\\nvec2 unscaled_extrude=vec2(mod(a_pos,2.0)*2.0-1.0);float S=sqrt(-2.0*log(ZERO/weight/u_intensity/GAUSS_COEF))/3.0;v_extrude=S*unscaled_extrude;vec2 extrude=v_extrude*radius*u_extrude_scale;vec4 pos=vec4(floor(a_pos*0.5)+extrude,0,1);gl_Position=u_matrix*pos;}\\\"),Qe=yr(\\\"uniform sampler2D u_image;uniform sampler2D u_color_ramp;uniform float u_opacity;varying vec2 v_pos;void main() {float t=texture2D(u_image,v_pos).r;vec4 color=texture2D(u_color_ramp,vec2(t,0.5));gl_FragColor=color*u_opacity;\\\\n#ifdef OVERDRAW_INSPECTOR\\\\ngl_FragColor=vec4(0.0);\\\\n#endif\\\\n}\\\",\\\"uniform mat4 u_matrix;uniform vec2 u_world;attribute vec2 a_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos*u_world,0,1);v_pos.x=a_pos.x;v_pos.y=1.0-a_pos.y;}\\\"),$e=yr(\\\"varying float v_placed;varying float v_notUsed;void main() {float alpha=0.5;gl_FragColor=vec4(1.0,0.0,0.0,1.0)*alpha;if (v_placed > 0.5) {gl_FragColor=vec4(0.0,0.0,1.0,0.5)*alpha;}if (v_notUsed > 0.5) {gl_FragColor*=.1;}}\\\",\\\"attribute vec2 a_pos;attribute vec2 a_anchor_pos;attribute vec2 a_extrude;attribute vec2 a_placed;attribute vec2 a_shift;uniform mat4 u_matrix;uniform vec2 u_extrude_scale;uniform float u_camera_to_center_distance;varying float v_placed;varying float v_notUsed;void main() {vec4 projectedPoint=u_matrix*vec4(a_anchor_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);gl_Position=u_matrix*vec4(a_pos,0.0,1.0);gl_Position.xy+=(a_extrude+a_shift)*u_extrude_scale*gl_Position.w*collision_perspective_ratio;v_placed=a_placed.x;v_notUsed=a_placed.y;}\\\"),tr=yr(\\\"varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;void main() {float alpha=0.5*min(v_perspective_ratio,1.0);float stroke_radius=0.9*max(v_perspective_ratio,1.0);float distance_to_center=length(v_extrude);float distance_to_edge=abs(distance_to_center-v_radius);float opacity_t=smoothstep(-stroke_radius,0.0,-distance_to_edge);vec4 color=mix(vec4(0.0,0.0,1.0,0.5),vec4(1.0,0.0,0.0,1.0),v_collision);gl_FragColor=color*alpha*opacity_t;}\\\",\\\"attribute vec2 a_pos;attribute float a_radius;attribute vec2 a_flags;uniform mat4 u_matrix;uniform mat4 u_inv_matrix;uniform vec2 u_viewport_size;uniform float u_camera_to_center_distance;varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;vec3 toTilePosition(vec2 screenPos) {vec4 rayStart=u_inv_matrix*vec4(screenPos,-1.0,1.0);vec4 rayEnd  =u_inv_matrix*vec4(screenPos, 1.0,1.0);rayStart.xyz/=rayStart.w;rayEnd.xyz  /=rayEnd.w;highp float t=(0.0-rayStart.z)/(rayEnd.z-rayStart.z);return mix(rayStart.xyz,rayEnd.xyz,t);}void main() {vec2 quadCenterPos=a_pos;float radius=a_radius;float collision=a_flags.x;float vertexIdx=a_flags.y;vec2 quadVertexOffset=vec2(mix(-1.0,1.0,float(vertexIdx >=2.0)),mix(-1.0,1.0,float(vertexIdx >=1.0 && vertexIdx <=2.0)));vec2 quadVertexExtent=quadVertexOffset*radius;vec3 tilePos=toTilePosition(quadCenterPos);vec4 clipPos=u_matrix*vec4(tilePos,1.0);highp float camera_to_anchor_distance=clipPos.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);float padding_factor=1.2;v_radius=radius;v_extrude=quadVertexExtent*padding_factor;v_perspective_ratio=collision_perspective_ratio;v_collision=collision;gl_Position=vec4(clipPos.xyz/clipPos.w,1.0)+vec4(quadVertexExtent*padding_factor/u_viewport_size*2.0,0.0,0.0);}\\\"),er=yr(\\\"uniform highp vec4 u_color;uniform sampler2D u_overlay;varying vec2 v_uv;void main() {vec4 overlay_color=texture2D(u_overlay,v_uv);gl_FragColor=mix(u_color,overlay_color,overlay_color.a);}\\\",\\\"attribute vec2 a_pos;varying vec2 v_uv;uniform mat4 u_matrix;uniform float u_overlay_scale;void main() {v_uv=a_pos/8192.0;gl_Position=u_matrix*vec4(a_pos*u_overlay_scale,0,1);}\\\"),rr=yr(\\\"#pragma mapbox: define highp vec4 color\\\\n#pragma mapbox: define lowp float opacity\\\\nvoid main() {\\\\n#pragma mapbox: initialize highp vec4 color\\\\n#pragma mapbox: initialize lowp float opacity\\\\ngl_FragColor=color*opacity;\\\\n#ifdef OVERDRAW_INSPECTOR\\\\ngl_FragColor=vec4(1.0);\\\\n#endif\\\\n}\\\",\\\"attribute vec2 a_pos;uniform mat4 u_matrix;\\\\n#pragma mapbox: define highp vec4 color\\\\n#pragma mapbox: define lowp float opacity\\\\nvoid main() {\\\\n#pragma mapbox: initialize highp vec4 color\\\\n#pragma mapbox: initialize lowp float opacity\\\\ngl_Position=u_matrix*vec4(a_pos,0,1);}\\\"),nr=yr(\\\"varying vec2 v_pos;\\\\n#pragma mapbox: define highp vec4 outline_color\\\\n#pragma mapbox: define lowp float opacity\\\\nvoid main() {\\\\n#pragma mapbox: initialize highp vec4 outline_color\\\\n#pragma mapbox: initialize lowp float opacity\\\\nfloat dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=outline_color*(alpha*opacity);\\\\n#ifdef OVERDRAW_INSPECTOR\\\\ngl_FragColor=vec4(1.0);\\\\n#endif\\\\n}\\\",\\\"attribute vec2 a_pos;uniform mat4 u_matrix;uniform vec2 u_world;varying vec2 v_pos;\\\\n#pragma mapbox: define highp vec4 outline_color\\\\n#pragma mapbox: define lowp float opacity\\\\nvoid main() {\\\\n#pragma mapbox: initialize highp vec4 outline_color\\\\n#pragma mapbox: initialize lowp float opacity\\\\ngl_Position=u_matrix*vec4(a_pos,0,1);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}\\\"),ir=yr(\\\"uniform vec2 u_texsize;uniform sampler2D u_image;uniform float u_fade;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\\\\n#pragma mapbox: define lowp float opacity\\\\n#pragma mapbox: define lowp vec4 pattern_from\\\\n#pragma mapbox: define lowp vec4 pattern_to\\\\nvoid main() {\\\\n#pragma mapbox: initialize lowp float opacity\\\\n#pragma mapbox: initialize mediump vec4 pattern_from\\\\n#pragma mapbox: initialize mediump vec4 pattern_to\\\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);float dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=mix(color1,color2,u_fade)*alpha*opacity;\\\\n#ifdef OVERDRAW_INSPECTOR\\\\ngl_FragColor=vec4(1.0);\\\\n#endif\\\\n}\\\",\\\"uniform mat4 u_matrix;uniform vec2 u_world;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\\\\n#pragma mapbox: define lowp float opacity\\\\n#pragma mapbox: define lowp vec4 pattern_from\\\\n#pragma mapbox: define lowp vec4 pattern_to\\\\n#pragma mapbox: define lowp float pixel_ratio_from\\\\n#pragma mapbox: define lowp float pixel_ratio_to\\\\nvoid main() {\\\\n#pragma mapbox: initialize lowp float opacity\\\\n#pragma mapbox: initialize mediump vec4 pattern_from\\\\n#pragma mapbox: initialize mediump vec4 pattern_to\\\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;gl_Position=u_matrix*vec4(a_pos,0,1);vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,a_pos);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}\\\"),ar=yr(\\\"uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;\\\\n#pragma mapbox: define lowp float opacity\\\\n#pragma mapbox: define lowp vec4 pattern_from\\\\n#pragma mapbox: define lowp vec4 pattern_to\\\\nvoid main() {\\\\n#pragma mapbox: initialize lowp float opacity\\\\n#pragma mapbox: initialize mediump vec4 pattern_from\\\\n#pragma mapbox: initialize mediump vec4 pattern_to\\\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_fade)*opacity;\\\\n#ifdef OVERDRAW_INSPECTOR\\\\ngl_FragColor=vec4(1.0);\\\\n#endif\\\\n}\\\",\\\"uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;\\\\n#pragma mapbox: define lowp float opacity\\\\n#pragma mapbox: define lowp vec4 pattern_from\\\\n#pragma mapbox: define lowp vec4 pattern_to\\\\n#pragma mapbox: define lowp float pixel_ratio_from\\\\n#pragma mapbox: define lowp float pixel_ratio_to\\\\nvoid main() {\\\\n#pragma mapbox: initialize lowp float opacity\\\\n#pragma mapbox: initialize mediump vec4 pattern_from\\\\n#pragma mapbox: initialize mediump vec4 pattern_to\\\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileZoomRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileZoomRatio,a_pos);}\\\"),or=yr(\\\"varying vec4 v_color;void main() {gl_FragColor=v_color;\\\\n#ifdef OVERDRAW_INSPECTOR\\\\ngl_FragColor=vec4(1.0);\\\\n#endif\\\\n}\\\",\\\"uniform mat4 u_matrix;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;uniform float u_vertical_gradient;uniform lowp float u_opacity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec4 v_color;\\\\n#pragma mapbox: define highp float base\\\\n#pragma mapbox: define highp float height\\\\n#pragma mapbox: define highp vec4 color\\\\nvoid main() {\\\\n#pragma mapbox: initialize highp float base\\\\n#pragma mapbox: initialize highp float height\\\\n#pragma mapbox: initialize highp vec4 color\\\\nvec3 normal=a_normal_ed.xyz;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);gl_Position=u_matrix*vec4(a_pos,t > 0.0 ? height : base,1);float colorvalue=color.r*0.2126+color.g*0.7152+color.b*0.0722;v_color=vec4(0.0,0.0,0.0,1.0);vec4 ambientlight=vec4(0.03,0.03,0.03,1.0);color+=ambientlight;float directional=clamp(dot(normal/16384.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((1.0-colorvalue+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_color.r+=clamp(color.r*directional*u_lightcolor.r,mix(0.0,0.3,1.0-u_lightcolor.r),1.0);v_color.g+=clamp(color.g*directional*u_lightcolor.g,mix(0.0,0.3,1.0-u_lightcolor.g),1.0);v_color.b+=clamp(color.b*directional*u_lightcolor.b,mix(0.0,0.3,1.0-u_lightcolor.b),1.0);v_color*=u_opacity;}\\\"),sr=yr(\\\"uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\\\\n#pragma mapbox: define lowp float base\\\\n#pragma mapbox: define lowp float height\\\\n#pragma mapbox: define lowp vec4 pattern_from\\\\n#pragma mapbox: define lowp vec4 pattern_to\\\\n#pragma mapbox: define lowp float pixel_ratio_from\\\\n#pragma mapbox: define lowp float pixel_ratio_to\\\\nvoid main() {\\\\n#pragma mapbox: initialize lowp float base\\\\n#pragma mapbox: initialize lowp float height\\\\n#pragma mapbox: initialize mediump vec4 pattern_from\\\\n#pragma mapbox: initialize mediump vec4 pattern_to\\\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);vec4 mixedColor=mix(color1,color2,u_fade);gl_FragColor=mixedColor*v_lighting;\\\\n#ifdef OVERDRAW_INSPECTOR\\\\ngl_FragColor=vec4(1.0);\\\\n#endif\\\\n}\\\",\\\"uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_height_factor;uniform vec3 u_scale;uniform float u_vertical_gradient;uniform lowp float u_opacity;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\\\\n#pragma mapbox: define lowp float base\\\\n#pragma mapbox: define lowp float height\\\\n#pragma mapbox: define lowp vec4 pattern_from\\\\n#pragma mapbox: define lowp vec4 pattern_to\\\\n#pragma mapbox: define lowp float pixel_ratio_from\\\\n#pragma mapbox: define lowp float pixel_ratio_to\\\\nvoid main() {\\\\n#pragma mapbox: initialize lowp float base\\\\n#pragma mapbox: initialize lowp float height\\\\n#pragma mapbox: initialize mediump vec4 pattern_from\\\\n#pragma mapbox: initialize mediump vec4 pattern_to\\\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec3 normal=a_normal_ed.xyz;float edgedistance=a_normal_ed.w;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);float z=t > 0.0 ? height : base;gl_Position=u_matrix*vec4(a_pos,z,1);vec2 pos=normal.x==1.0 && normal.y==0.0 && normal.z==16384.0\\\\n? a_pos\\\\n: vec2(edgedistance,z*u_height_factor);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,pos);v_lighting=vec4(0.0,0.0,0.0,1.0);float directional=clamp(dot(normal/16383.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((0.5+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_lighting.rgb+=clamp(directional*u_lightcolor,mix(vec3(0.0),vec3(0.3),1.0-u_lightcolor),vec3(1.0));v_lighting*=u_opacity;}\\\"),lr=yr(\\\"#ifdef GL_ES\\\\nprecision highp float;\\\\n#endif\\\\nuniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_dimension;uniform float u_zoom;uniform float u_maxzoom;uniform vec4 u_unpack;float getElevation(vec2 coord,float bias) {vec4 data=texture2D(u_image,coord)*255.0;data.a=-1.0;return dot(data,u_unpack)/4.0;}void main() {vec2 epsilon=1.0/u_dimension;float a=getElevation(v_pos+vec2(-epsilon.x,-epsilon.y),0.0);float b=getElevation(v_pos+vec2(0,-epsilon.y),0.0);float c=getElevation(v_pos+vec2(epsilon.x,-epsilon.y),0.0);float d=getElevation(v_pos+vec2(-epsilon.x,0),0.0);float e=getElevation(v_pos,0.0);float f=getElevation(v_pos+vec2(epsilon.x,0),0.0);float g=getElevation(v_pos+vec2(-epsilon.x,epsilon.y),0.0);float h=getElevation(v_pos+vec2(0,epsilon.y),0.0);float i=getElevation(v_pos+vec2(epsilon.x,epsilon.y),0.0);float exaggeration=u_zoom < 2.0 ? 0.4 : u_zoom < 4.5 ? 0.35 : 0.3;vec2 deriv=vec2((c+f+f+i)-(a+d+d+g),(g+h+h+i)-(a+b+b+c))/ pow(2.0,(u_zoom-u_maxzoom)*exaggeration+19.2562-u_zoom);gl_FragColor=clamp(vec4(deriv.x/2.0+0.5,deriv.y/2.0+0.5,1.0,1.0),0.0,1.0);\\\\n#ifdef OVERDRAW_INSPECTOR\\\\ngl_FragColor=vec4(1.0);\\\\n#endif\\\\n}\\\",\\\"uniform mat4 u_matrix;uniform vec2 u_dimension;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);highp vec2 epsilon=1.0/u_dimension;float scale=(u_dimension.x-2.0)/u_dimension.x;v_pos=(a_texture_pos/8192.0)*scale+epsilon;}\\\"),cr=yr(\\\"uniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_latrange;uniform vec2 u_light;uniform vec4 u_shadow;uniform vec4 u_highlight;uniform vec4 u_accent;\\\\n#define PI 3.141592653589793\\\\nvoid main() {vec4 pixel=texture2D(u_image,v_pos);vec2 deriv=((pixel.rg*2.0)-1.0);float scaleFactor=cos(radians((u_latrange[0]-u_latrange[1])*(1.0-v_pos.y)+u_latrange[1]));float slope=atan(1.25*length(deriv)/scaleFactor);float aspect=deriv.x !=0.0 ? atan(deriv.y,-deriv.x) : PI/2.0*(deriv.y > 0.0 ? 1.0 :-1.0);float intensity=u_light.x;float azimuth=u_light.y+PI;float base=1.875-intensity*1.75;float maxValue=0.5*PI;float scaledSlope=intensity !=0.5 ? ((pow(base,slope)-1.0)/(pow(base,maxValue)-1.0))*maxValue : slope;float accent=cos(scaledSlope);vec4 accent_color=(1.0-accent)*u_accent*clamp(intensity*2.0,0.0,1.0);float shade=abs(mod((aspect+azimuth)/PI+0.5,2.0)-1.0);vec4 shade_color=mix(u_shadow,u_highlight,shade)*sin(scaledSlope)*clamp(intensity*2.0,0.0,1.0);gl_FragColor=accent_color*(1.0-shade_color.a)+shade_color;\\\\n#ifdef OVERDRAW_INSPECTOR\\\\ngl_FragColor=vec4(1.0);\\\\n#endif\\\\n}\\\",\\\"uniform mat4 u_matrix;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos=a_texture_pos/8192.0;}\\\"),ur=yr(\\\"uniform lowp float u_device_pixel_ratio;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;\\\\n#pragma mapbox: define highp vec4 color\\\\n#pragma mapbox: define lowp float blur\\\\n#pragma mapbox: define lowp float opacity\\\\nvoid main() {\\\\n#pragma mapbox: initialize highp vec4 color\\\\n#pragma mapbox: initialize lowp float blur\\\\n#pragma mapbox: initialize lowp float opacity\\\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);gl_FragColor=color*(alpha*opacity);\\\\n#ifdef OVERDRAW_INSPECTOR\\\\ngl_FragColor=vec4(1.0);\\\\n#endif\\\\n}\\\",\\\"\\\\n#define scale 0.015873016\\\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform vec2 u_units_to_pixels;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_linesofar;\\\\n#pragma mapbox: define highp vec4 color\\\\n#pragma mapbox: define lowp float blur\\\\n#pragma mapbox: define lowp float opacity\\\\n#pragma mapbox: define mediump float gapwidth\\\\n#pragma mapbox: define lowp float offset\\\\n#pragma mapbox: define mediump float width\\\\nvoid main() {\\\\n#pragma mapbox: initialize highp vec4 color\\\\n#pragma mapbox: initialize lowp float blur\\\\n#pragma mapbox: initialize lowp float opacity\\\\n#pragma mapbox: initialize mediump float gapwidth\\\\n#pragma mapbox: initialize lowp float offset\\\\n#pragma mapbox: initialize mediump float width\\\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}\\\"),fr=yr(\\\"uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;varying highp float v_lineprogress;\\\\n#pragma mapbox: define lowp float blur\\\\n#pragma mapbox: define lowp float opacity\\\\nvoid main() {\\\\n#pragma mapbox: initialize lowp float blur\\\\n#pragma mapbox: initialize lowp float opacity\\\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);vec4 color=texture2D(u_image,vec2(v_lineprogress,0.5));gl_FragColor=color*(alpha*opacity);\\\\n#ifdef OVERDRAW_INSPECTOR\\\\ngl_FragColor=vec4(1.0);\\\\n#endif\\\\n}\\\",\\\"\\\\n#define MAX_LINE_DISTANCE 32767.0\\\\n#define scale 0.015873016\\\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_lineprogress;\\\\n#pragma mapbox: define lowp float blur\\\\n#pragma mapbox: define lowp float opacity\\\\n#pragma mapbox: define mediump float gapwidth\\\\n#pragma mapbox: define lowp float offset\\\\n#pragma mapbox: define mediump float width\\\\nvoid main() {\\\\n#pragma mapbox: initialize lowp float blur\\\\n#pragma mapbox: initialize lowp float opacity\\\\n#pragma mapbox: initialize mediump float gapwidth\\\\n#pragma mapbox: initialize lowp float offset\\\\n#pragma mapbox: initialize mediump float width\\\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_lineprogress=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0/MAX_LINE_DISTANCE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}\\\"),hr=yr(\\\"uniform lowp float u_device_pixel_ratio;uniform vec2 u_texsize;uniform float u_fade;uniform mediump vec3 u_scale;uniform sampler2D u_image;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\\\\n#pragma mapbox: define lowp vec4 pattern_from\\\\n#pragma mapbox: define lowp vec4 pattern_to\\\\n#pragma mapbox: define lowp float pixel_ratio_from\\\\n#pragma mapbox: define lowp float pixel_ratio_to\\\\n#pragma mapbox: define lowp float blur\\\\n#pragma mapbox: define lowp float opacity\\\\nvoid main() {\\\\n#pragma mapbox: initialize mediump vec4 pattern_from\\\\n#pragma mapbox: initialize mediump vec4 pattern_to\\\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\\\n#pragma mapbox: initialize lowp float blur\\\\n#pragma mapbox: initialize lowp float opacity\\\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;vec2 pattern_size_a=vec2(display_size_a.x*fromScale/tileZoomRatio,display_size_a.y);vec2 pattern_size_b=vec2(display_size_b.x*toScale/tileZoomRatio,display_size_b.y);float aspect_a=display_size_a.y/v_width;float aspect_b=display_size_b.y/v_width;float dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float x_a=mod(v_linesofar/pattern_size_a.x*aspect_a,1.0);float x_b=mod(v_linesofar/pattern_size_b.x*aspect_b,1.0);float y=0.5*v_normal.y+0.5;vec2 texel_size=1.0/u_texsize;vec2 pos_a=mix(pattern_tl_a*texel_size-texel_size,pattern_br_a*texel_size+texel_size,vec2(x_a,y));vec2 pos_b=mix(pattern_tl_b*texel_size-texel_size,pattern_br_b*texel_size+texel_size,vec2(x_b,y));vec4 color=mix(texture2D(u_image,pos_a),texture2D(u_image,pos_b),u_fade);gl_FragColor=color*alpha*opacity;\\\\n#ifdef OVERDRAW_INSPECTOR\\\\ngl_FragColor=vec4(1.0);\\\\n#endif\\\\n}\\\",\\\"\\\\n#define scale 0.015873016\\\\n#define LINE_DISTANCE_SCALE 2.0\\\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform vec2 u_units_to_pixels;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\\\\n#pragma mapbox: define lowp float blur\\\\n#pragma mapbox: define lowp float opacity\\\\n#pragma mapbox: define lowp float offset\\\\n#pragma mapbox: define mediump float gapwidth\\\\n#pragma mapbox: define mediump float width\\\\n#pragma mapbox: define lowp float floorwidth\\\\n#pragma mapbox: define lowp vec4 pattern_from\\\\n#pragma mapbox: define lowp vec4 pattern_to\\\\n#pragma mapbox: define lowp float pixel_ratio_from\\\\n#pragma mapbox: define lowp float pixel_ratio_to\\\\nvoid main() {\\\\n#pragma mapbox: initialize lowp float blur\\\\n#pragma mapbox: initialize lowp float opacity\\\\n#pragma mapbox: initialize lowp float offset\\\\n#pragma mapbox: initialize mediump float gapwidth\\\\n#pragma mapbox: initialize mediump float width\\\\n#pragma mapbox: initialize lowp float floorwidth\\\\n#pragma mapbox: initialize mediump vec4 pattern_from\\\\n#pragma mapbox: initialize mediump vec4 pattern_to\\\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_linesofar=a_linesofar;v_width2=vec2(outset,inset);v_width=floorwidth;}\\\"),pr=yr(\\\"uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;uniform float u_sdfgamma;uniform float u_mix;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\\\\n#pragma mapbox: define highp vec4 color\\\\n#pragma mapbox: define lowp float blur\\\\n#pragma mapbox: define lowp float opacity\\\\n#pragma mapbox: define mediump float width\\\\n#pragma mapbox: define lowp float floorwidth\\\\nvoid main() {\\\\n#pragma mapbox: initialize highp vec4 color\\\\n#pragma mapbox: initialize lowp float blur\\\\n#pragma mapbox: initialize lowp float opacity\\\\n#pragma mapbox: initialize mediump float width\\\\n#pragma mapbox: initialize lowp float floorwidth\\\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float sdfdist_a=texture2D(u_image,v_tex_a).a;float sdfdist_b=texture2D(u_image,v_tex_b).a;float sdfdist=mix(sdfdist_a,sdfdist_b,u_mix);alpha*=smoothstep(0.5-u_sdfgamma/floorwidth,0.5+u_sdfgamma/floorwidth,sdfdist);gl_FragColor=color*(alpha*opacity);\\\\n#ifdef OVERDRAW_INSPECTOR\\\\ngl_FragColor=vec4(1.0);\\\\n#endif\\\\n}\\\",\\\"\\\\n#define scale 0.015873016\\\\n#define LINE_DISTANCE_SCALE 2.0\\\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_patternscale_a;uniform float u_tex_y_a;uniform vec2 u_patternscale_b;uniform float u_tex_y_b;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\\\\n#pragma mapbox: define highp vec4 color\\\\n#pragma mapbox: define lowp float blur\\\\n#pragma mapbox: define lowp float opacity\\\\n#pragma mapbox: define mediump float gapwidth\\\\n#pragma mapbox: define lowp float offset\\\\n#pragma mapbox: define mediump float width\\\\n#pragma mapbox: define lowp float floorwidth\\\\nvoid main() {\\\\n#pragma mapbox: initialize highp vec4 color\\\\n#pragma mapbox: initialize lowp float blur\\\\n#pragma mapbox: initialize lowp float opacity\\\\n#pragma mapbox: initialize mediump float gapwidth\\\\n#pragma mapbox: initialize lowp float offset\\\\n#pragma mapbox: initialize mediump float width\\\\n#pragma mapbox: initialize lowp float floorwidth\\\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_tex_a=vec2(a_linesofar*u_patternscale_a.x/floorwidth,normal.y*u_patternscale_a.y+u_tex_y_a);v_tex_b=vec2(a_linesofar*u_patternscale_b.x/floorwidth,normal.y*u_patternscale_b.y+u_tex_y_b);v_width2=vec2(outset,inset);}\\\"),dr=yr(\\\"uniform float u_fade_t;uniform float u_opacity;uniform sampler2D u_image0;uniform sampler2D u_image1;varying vec2 v_pos0;varying vec2 v_pos1;uniform float u_brightness_low;uniform float u_brightness_high;uniform float u_saturation_factor;uniform float u_contrast_factor;uniform vec3 u_spin_weights;void main() {vec4 color0=texture2D(u_image0,v_pos0);vec4 color1=texture2D(u_image1,v_pos1);if (color0.a > 0.0) {color0.rgb=color0.rgb/color0.a;}if (color1.a > 0.0) {color1.rgb=color1.rgb/color1.a;}vec4 color=mix(color0,color1,u_fade_t);color.a*=u_opacity;vec3 rgb=color.rgb;rgb=vec3(dot(rgb,u_spin_weights.xyz),dot(rgb,u_spin_weights.zxy),dot(rgb,u_spin_weights.yzx));float average=(color.r+color.g+color.b)/3.0;rgb+=(average-rgb)*u_saturation_factor;rgb=(rgb-0.5)*u_contrast_factor+0.5;vec3 u_high_vec=vec3(u_brightness_low,u_brightness_low,u_brightness_low);vec3 u_low_vec=vec3(u_brightness_high,u_brightness_high,u_brightness_high);gl_FragColor=vec4(mix(u_high_vec,u_low_vec,rgb)*color.a,color.a);\\\\n#ifdef OVERDRAW_INSPECTOR\\\\ngl_FragColor=vec4(1.0);\\\\n#endif\\\\n}\\\",\\\"uniform mat4 u_matrix;uniform vec2 u_tl_parent;uniform float u_scale_parent;uniform float u_buffer_scale;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos0;varying vec2 v_pos1;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos0=(((a_texture_pos/8192.0)-0.5)/u_buffer_scale )+0.5;v_pos1=(v_pos0*u_scale_parent)+u_tl_parent;}\\\"),mr=yr(\\\"uniform sampler2D u_texture;varying vec2 v_tex;varying float v_fade_opacity;\\\\n#pragma mapbox: define lowp float opacity\\\\nvoid main() {\\\\n#pragma mapbox: initialize lowp float opacity\\\\nlowp float alpha=opacity*v_fade_opacity;gl_FragColor=texture2D(u_texture,v_tex)*alpha;\\\\n#ifdef OVERDRAW_INSPECTOR\\\\ngl_FragColor=vec4(1.0);\\\\n#endif\\\\n}\\\",\\\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform highp float u_camera_to_center_distance;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform float u_fade_change;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform vec2 u_texsize;varying vec2 v_tex;varying float v_fade_opacity;\\\\n#pragma mapbox: define lowp float opacity\\\\nvoid main() {\\\\n#pragma mapbox: initialize lowp float opacity\\\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;vec2 a_minFontScale=a_pixeloffset.zw/256.0;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*max(a_minFontScale,fontScale)+a_pxoffset/16.0),0.0,1.0);v_tex=a_tex/u_texsize;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;v_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));}\\\"),gr=yr(\\\"#define SDF_PX 8.0\\\\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;uniform bool u_is_text;varying vec2 v_data0;varying vec3 v_data1;\\\\n#pragma mapbox: define highp vec4 fill_color\\\\n#pragma mapbox: define highp vec4 halo_color\\\\n#pragma mapbox: define lowp float opacity\\\\n#pragma mapbox: define lowp float halo_width\\\\n#pragma mapbox: define lowp float halo_blur\\\\nvoid main() {\\\\n#pragma mapbox: initialize highp vec4 fill_color\\\\n#pragma mapbox: initialize highp vec4 halo_color\\\\n#pragma mapbox: initialize lowp float opacity\\\\n#pragma mapbox: initialize lowp float halo_width\\\\n#pragma mapbox: initialize lowp float halo_blur\\\\nfloat EDGE_GAMMA=0.105/u_device_pixel_ratio;vec2 tex=v_data0.xy;float gamma_scale=v_data1.x;float size=v_data1.y;float fade_opacity=v_data1[2];float fontScale=u_is_text ? size/24.0 : size;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\\\\n#ifdef OVERDRAW_INSPECTOR\\\\ngl_FragColor=vec4(1.0);\\\\n#endif\\\\n}\\\",\\\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;varying vec2 v_data0;varying vec3 v_data1;\\\\n#pragma mapbox: define highp vec4 fill_color\\\\n#pragma mapbox: define highp vec4 halo_color\\\\n#pragma mapbox: define lowp float opacity\\\\n#pragma mapbox: define lowp float halo_width\\\\n#pragma mapbox: define lowp float halo_blur\\\\nvoid main() {\\\\n#pragma mapbox: initialize highp vec4 fill_color\\\\n#pragma mapbox: initialize highp vec4 halo_color\\\\n#pragma mapbox: initialize lowp float opacity\\\\n#pragma mapbox: initialize lowp float halo_width\\\\n#pragma mapbox: initialize lowp float halo_blur\\\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale+a_pxoffset),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0=a_tex/u_texsize;v_data1=vec3(gamma_scale,size,interpolated_fade_opacity);}\\\"),vr=yr(\\\"#define SDF_PX 8.0\\\\n#define SDF 1.0\\\\n#define ICON 0.0\\\\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform sampler2D u_texture_icon;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;varying vec4 v_data0;varying vec4 v_data1;\\\\n#pragma mapbox: define highp vec4 fill_color\\\\n#pragma mapbox: define highp vec4 halo_color\\\\n#pragma mapbox: define lowp float opacity\\\\n#pragma mapbox: define lowp float halo_width\\\\n#pragma mapbox: define lowp float halo_blur\\\\nvoid main() {\\\\n#pragma mapbox: initialize highp vec4 fill_color\\\\n#pragma mapbox: initialize highp vec4 halo_color\\\\n#pragma mapbox: initialize lowp float opacity\\\\n#pragma mapbox: initialize lowp float halo_width\\\\n#pragma mapbox: initialize lowp float halo_blur\\\\nfloat fade_opacity=v_data1[2];if (v_data1.w==ICON) {vec2 tex_icon=v_data0.zw;lowp float alpha=opacity*fade_opacity;gl_FragColor=texture2D(u_texture_icon,tex_icon)*alpha;\\\\n#ifdef OVERDRAW_INSPECTOR\\\\ngl_FragColor=vec4(1.0);\\\\n#endif\\\\nreturn;}vec2 tex=v_data0.xy;float EDGE_GAMMA=0.105/u_device_pixel_ratio;float gamma_scale=v_data1.x;float size=v_data1.y;float fontScale=size/24.0;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\\\\n#ifdef OVERDRAW_INSPECTOR\\\\ngl_FragColor=vec4(1.0);\\\\n#endif\\\\n}\\\",\\\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;uniform vec2 u_texsize_icon;varying vec4 v_data0;varying vec4 v_data1;\\\\n#pragma mapbox: define highp vec4 fill_color\\\\n#pragma mapbox: define highp vec4 halo_color\\\\n#pragma mapbox: define lowp float opacity\\\\n#pragma mapbox: define lowp float halo_width\\\\n#pragma mapbox: define lowp float halo_blur\\\\nvoid main() {\\\\n#pragma mapbox: initialize highp vec4 fill_color\\\\n#pragma mapbox: initialize highp vec4 halo_color\\\\n#pragma mapbox: initialize lowp float opacity\\\\n#pragma mapbox: initialize lowp float halo_width\\\\n#pragma mapbox: initialize lowp float halo_blur\\\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);float is_sdf=a_size[0]-2.0*a_size_min;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=size/24.0;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0.xy=a_tex/u_texsize;v_data0.zw=a_tex/u_texsize_icon;v_data1=vec4(gamma_scale,size,interpolated_fade_opacity,is_sdf);}\\\");function yr(t,e){var r=/#pragma mapbox: ([\\\\w]+) ([\\\\w]+) ([\\\\w]+) ([\\\\w]+)/g,n={};return{fragmentSource:t=t.replace(r,(function(t,e,r,i,a){return n[a]=!0,\\\"define\\\"===e?\\\"\\\\n#ifndef HAS_UNIFORM_u_\\\"+a+\\\"\\\\nvarying \\\"+r+\\\" \\\"+i+\\\" \\\"+a+\\\";\\\\n#else\\\\nuniform \\\"+r+\\\" \\\"+i+\\\" u_\\\"+a+\\\";\\\\n#endif\\\\n\\\":\\\"\\\\n#ifdef HAS_UNIFORM_u_\\\"+a+\\\"\\\\n    \\\"+r+\\\" \\\"+i+\\\" \\\"+a+\\\" = u_\\\"+a+\\\";\\\\n#endif\\\\n\\\"})),vertexSource:e=e.replace(r,(function(t,e,r,i,a){var o=\\\"float\\\"===i?\\\"vec2\\\":\\\"vec4\\\",s=a.match(/color/)?\\\"color\\\":o;return n[a]?\\\"define\\\"===e?\\\"\\\\n#ifndef HAS_UNIFORM_u_\\\"+a+\\\"\\\\nuniform lowp float u_\\\"+a+\\\"_t;\\\\nattribute \\\"+r+\\\" \\\"+o+\\\" a_\\\"+a+\\\";\\\\nvarying \\\"+r+\\\" \\\"+i+\\\" \\\"+a+\\\";\\\\n#else\\\\nuniform \\\"+r+\\\" \\\"+i+\\\" u_\\\"+a+\\\";\\\\n#endif\\\\n\\\":\\\"vec4\\\"===s?\\\"\\\\n#ifndef HAS_UNIFORM_u_\\\"+a+\\\"\\\\n    \\\"+a+\\\" = a_\\\"+a+\\\";\\\\n#else\\\\n    \\\"+r+\\\" \\\"+i+\\\" \\\"+a+\\\" = u_\\\"+a+\\\";\\\\n#endif\\\\n\\\":\\\"\\\\n#ifndef HAS_UNIFORM_u_\\\"+a+\\\"\\\\n    \\\"+a+\\\" = unpack_mix_\\\"+s+\\\"(a_\\\"+a+\\\", u_\\\"+a+\\\"_t);\\\\n#else\\\\n    \\\"+r+\\\" \\\"+i+\\\" \\\"+a+\\\" = u_\\\"+a+\\\";\\\\n#endif\\\\n\\\":\\\"define\\\"===e?\\\"\\\\n#ifndef HAS_UNIFORM_u_\\\"+a+\\\"\\\\nuniform lowp float u_\\\"+a+\\\"_t;\\\\nattribute \\\"+r+\\\" \\\"+o+\\\" a_\\\"+a+\\\";\\\\n#else\\\\nuniform \\\"+r+\\\" \\\"+i+\\\" u_\\\"+a+\\\";\\\\n#endif\\\\n\\\":\\\"vec4\\\"===s?\\\"\\\\n#ifndef HAS_UNIFORM_u_\\\"+a+\\\"\\\\n    \\\"+r+\\\" \\\"+i+\\\" \\\"+a+\\\" = a_\\\"+a+\\\";\\\\n#else\\\\n    \\\"+r+\\\" \\\"+i+\\\" \\\"+a+\\\" = u_\\\"+a+\\\";\\\\n#endif\\\\n\\\":\\\"\\\\n#ifndef HAS_UNIFORM_u_\\\"+a+\\\"\\\\n    \\\"+r+\\\" \\\"+i+\\\" \\\"+a+\\\" = unpack_mix_\\\"+s+\\\"(a_\\\"+a+\\\", u_\\\"+a+\\\"_t);\\\\n#else\\\\n    \\\"+r+\\\" \\\"+i+\\\" \\\"+a+\\\" = u_\\\"+a+\\\";\\\\n#endif\\\\n\\\"}))}}var xr=Object.freeze({__proto__:null,prelude:Ye,background:We,backgroundPattern:Xe,circle:Ze,clippingMask:Je,heatmap:Ke,heatmapTexture:Qe,collisionBox:$e,collisionCircle:tr,debug:er,fill:rr,fillOutline:nr,fillOutlinePattern:ir,fillPattern:ar,fillExtrusion:or,fillExtrusionPattern:sr,hillshadePrepare:lr,hillshade:cr,line:ur,lineGradient:fr,linePattern:hr,lineSDF:pr,raster:dr,symbolIcon:mr,symbolSDF:gr,symbolTextAndIcon:vr}),br=function(){this.boundProgram=null,this.boundLayoutVertexBuffer=null,this.boundPaintVertexBuffers=[],this.boundIndexBuffer=null,this.boundVertexOffset=null,this.boundDynamicVertexBuffer=null,this.vao=null};br.prototype.bind=function(t,e,r,n,i,a,o,s){this.context=t;for(var l=this.boundPaintVertexBuffers.length!==n.length,c=0;!l&&c<n.length;c++)this.boundPaintVertexBuffers[c]!==n[c]&&(l=!0);var u=!this.vao||this.boundProgram!==e||this.boundLayoutVertexBuffer!==r||l||this.boundIndexBuffer!==i||this.boundVertexOffset!==a||this.boundDynamicVertexBuffer!==o||this.boundDynamicVertexBuffer2!==s;!t.extVertexArrayObject||u?this.freshBind(e,r,n,i,a,o,s):(t.bindVertexArrayOES.set(this.vao),o&&o.bind(),i&&i.dynamicDraw&&i.bind(),s&&s.bind())},br.prototype.freshBind=function(t,e,r,n,i,a,o){var s,l=t.numAttributes,c=this.context,u=c.gl;if(c.extVertexArrayObject)this.vao&&this.destroy(),this.vao=c.extVertexArrayObject.createVertexArrayOES(),c.bindVertexArrayOES.set(this.vao),s=0,this.boundProgram=t,this.boundLayoutVertexBuffer=e,this.boundPaintVertexBuffers=r,this.boundIndexBuffer=n,this.boundVertexOffset=i,this.boundDynamicVertexBuffer=a,this.boundDynamicVertexBuffer2=o;else{s=c.currentNumAttributes||0;for(var f=l;f<s;f++)u.disableVertexAttribArray(f)}e.enableAttributes(u,t);for(var h=0,p=r;h<p.length;h+=1){p[h].enableAttributes(u,t)}a&&a.enableAttributes(u,t),o&&o.enableAttributes(u,t),e.bind(),e.setVertexAttribPointers(u,t,i);for(var d=0,m=r;d<m.length;d+=1){var g=m[d];g.bind(),g.setVertexAttribPointers(u,t,i)}a&&(a.bind(),a.setVertexAttribPointers(u,t,i)),n&&n.bind(),o&&(o.bind(),o.setVertexAttribPointers(u,t,i)),c.currentNumAttributes=l},br.prototype.destroy=function(){this.vao&&(this.context.extVertexArrayObject.deleteVertexArrayOES(this.vao),this.vao=null)};var _r=function(t,e,r,n,i){var a=t.gl;this.program=a.createProgram();var o=r?r.defines():[];i&&o.push(\\\"#define OVERDRAW_INSPECTOR;\\\");var s=o.concat(Ye.fragmentSource,e.fragmentSource).join(\\\"\\\\n\\\"),l=o.concat(Ye.vertexSource,e.vertexSource).join(\\\"\\\\n\\\"),c=a.createShader(a.FRAGMENT_SHADER);if(a.isContextLost())this.failedToCreate=!0;else{a.shaderSource(c,s),a.compileShader(c),a.attachShader(this.program,c);var u=a.createShader(a.VERTEX_SHADER);if(a.isContextLost())this.failedToCreate=!0;else{a.shaderSource(u,l),a.compileShader(u),a.attachShader(this.program,u);for(var f=r?r.layoutAttributes:[],h=0;h<f.length;h++)a.bindAttribLocation(this.program,h,f[h].name);a.linkProgram(this.program),a.deleteShader(u),a.deleteShader(c),this.numAttributes=a.getProgramParameter(this.program,a.ACTIVE_ATTRIBUTES),this.attributes={};for(var p={},d=0;d<this.numAttributes;d++){var m=a.getActiveAttrib(this.program,d);m&&(this.attributes[m.name]=a.getAttribLocation(this.program,m.name))}for(var g=a.getProgramParameter(this.program,a.ACTIVE_UNIFORMS),v=0;v<g;v++){var y=a.getActiveUniform(this.program,v);y&&(p[y.name]=a.getUniformLocation(this.program,y.name))}this.fixedUniforms=n(t,p),this.binderUniforms=r?r.getUniforms(t,p):[]}}};function wr(t,e,r){var n=1/pe(r,1,e.transform.tileZoom),i=Math.pow(2,r.tileID.overscaledZ),a=r.tileSize*Math.pow(2,e.transform.tileZoom)/i,o=a*(r.tileID.canonical.x+r.tileID.wrap*i),s=a*r.tileID.canonical.y;return{u_image:0,u_texsize:r.imageAtlasTexture.size,u_scale:[n,t.fromScale,t.toScale],u_fade:t.t,u_pixel_coord_upper:[o>>16,s>>16],u_pixel_coord_lower:[65535&o,65535&s]}}_r.prototype.draw=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,m){var g,v=t.gl;if(!this.failedToCreate){for(var y in t.program.set(this.program),t.setDepthMode(r),t.setStencilMode(n),t.setColorMode(i),t.setCullFace(a),this.fixedUniforms)this.fixedUniforms[y].set(o[y]);p&&p.setUniforms(t,this.binderUniforms,f,{zoom:h});for(var x=(g={},g[v.LINES]=2,g[v.TRIANGLES]=3,g[v.LINE_STRIP]=1,g)[e],b=0,_=u.get();b<_.length;b+=1){var w=_[b],T=w.vaos||(w.vaos={});(T[s]||(T[s]=new br)).bind(t,this,l,p?p.getPaintVertexBuffers():[],c,w.vertexOffset,d,m),v.drawElements(e,w.primitiveLength*x,v.UNSIGNED_SHORT,w.primitiveOffset*x*2)}}};var Tr=function(e,r,n,i){var a=r.style.light,o=a.properties.get(\\\"position\\\"),s=[o.x,o.y,o.z],l=t.create$1();\\\"viewport\\\"===a.properties.get(\\\"anchor\\\")&&t.fromRotation(l,-r.transform.angle),t.transformMat3(s,s,l);var c=a.properties.get(\\\"color\\\");return{u_matrix:e,u_lightpos:s,u_lightintensity:a.properties.get(\\\"intensity\\\"),u_lightcolor:[c.r,c.g,c.b],u_vertical_gradient:+n,u_opacity:i}},kr=function(e,r,n,i,a,o,s){return t.extend(Tr(e,r,n,i),wr(o,r,s),{u_height_factor:-Math.pow(2,a.overscaledZ)/s.tileSize/8})},Mr=function(t){return{u_matrix:t}},Ar=function(e,r,n,i){return t.extend(Mr(e),wr(n,r,i))},Sr=function(t,e){return{u_matrix:t,u_world:e}},Er=function(e,r,n,i,a){return t.extend(Ar(e,r,n,i),{u_world:a})},Lr=function(e,r,n,i){var a,o,s=e.transform;if(\\\"map\\\"===i.paint.get(\\\"circle-pitch-alignment\\\")){var l=pe(n,1,s.zoom);a=!0,o=[l,l]}else a=!1,o=s.pixelsToGLUnits;return{u_camera_to_center_distance:s.cameraToCenterDistance,u_scale_with_map:+(\\\"map\\\"===i.paint.get(\\\"circle-pitch-scale\\\")),u_matrix:e.translatePosMatrix(r.posMatrix,n,i.paint.get(\\\"circle-translate\\\"),i.paint.get(\\\"circle-translate-anchor\\\")),u_pitch_with_map:+a,u_device_pixel_ratio:t.browser.devicePixelRatio,u_extrude_scale:o}},Cr=function(t,e,r){var n=pe(r,1,e.zoom),i=Math.pow(2,e.zoom-r.tileID.overscaledZ),a=r.tileID.overscaleFactor();return{u_matrix:t,u_camera_to_center_distance:e.cameraToCenterDistance,u_pixels_to_tile_units:n,u_extrude_scale:[e.pixelsToGLUnits[0]/(n*i),e.pixelsToGLUnits[1]/(n*i)],u_overscale_factor:a}},Pr=function(t,e,r){return{u_matrix:t,u_inv_matrix:e,u_camera_to_center_distance:r.cameraToCenterDistance,u_viewport_size:[r.width,r.height]}},Ir=function(t,e,r){return void 0===r&&(r=1),{u_matrix:t,u_color:e,u_overlay:0,u_overlay_scale:r}},Or=function(t){return{u_matrix:t}},zr=function(t,e,r,n){return{u_matrix:t,u_extrude_scale:pe(e,1,r),u_intensity:n}};function Dr(e,r){var n=Math.pow(2,r.canonical.z),i=r.canonical.y;return[new t.MercatorCoordinate(0,i/n).toLngLat().lat,new t.MercatorCoordinate(0,(i+1)/n).toLngLat().lat]}var Rr=function(e,r,n){var i=e.transform;return{u_matrix:Ur(e,r,n),u_ratio:1/pe(r,1,i.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_units_to_pixels:[1/i.pixelsToGLUnits[0],1/i.pixelsToGLUnits[1]]}},Fr=function(e,r,n){return t.extend(Rr(e,r,n),{u_image:0})},Br=function(e,r,n,i){var a=e.transform,o=jr(r,a);return{u_matrix:Ur(e,r,n),u_texsize:r.imageAtlasTexture.size,u_ratio:1/pe(r,1,a.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_image:0,u_scale:[o,i.fromScale,i.toScale],u_fade:i.t,u_units_to_pixels:[1/a.pixelsToGLUnits[0],1/a.pixelsToGLUnits[1]]}},Nr=function(e,r,n,i,a){var o=e.transform,s=e.lineAtlas,l=jr(r,o),c=\\\"round\\\"===n.layout.get(\\\"line-cap\\\"),u=s.getDash(i.from,c),f=s.getDash(i.to,c),h=u.width*a.fromScale,p=f.width*a.toScale;return t.extend(Rr(e,r,n),{u_patternscale_a:[l/h,-u.height/2],u_patternscale_b:[l/p,-f.height/2],u_sdfgamma:s.width/(256*Math.min(h,p)*t.browser.devicePixelRatio)/2,u_image:0,u_tex_y_a:u.y,u_tex_y_b:f.y,u_mix:a.t})};function jr(t,e){return 1/pe(t,1,e.tileZoom)}function Ur(t,e,r){return t.translatePosMatrix(e.tileID.posMatrix,e,r.paint.get(\\\"line-translate\\\"),r.paint.get(\\\"line-translate-anchor\\\"))}var Vr=function(t,e,r,n,i){return{u_matrix:t,u_tl_parent:e,u_scale_parent:r,u_buffer_scale:1,u_fade_t:n.mix,u_opacity:n.opacity*i.paint.get(\\\"raster-opacity\\\"),u_image0:0,u_image1:1,u_brightness_low:i.paint.get(\\\"raster-brightness-min\\\"),u_brightness_high:i.paint.get(\\\"raster-brightness-max\\\"),u_saturation_factor:(o=i.paint.get(\\\"raster-saturation\\\"),o>0?1-1/(1.001-o):-o),u_contrast_factor:(a=i.paint.get(\\\"raster-contrast\\\"),a>0?1/(1-a):1+a),u_spin_weights:qr(i.paint.get(\\\"raster-hue-rotate\\\"))};var a,o};function qr(t){t*=Math.PI/180;var e=Math.sin(t),r=Math.cos(t);return[(2*r+1)/3,(-Math.sqrt(3)*e-r+1)/3,(Math.sqrt(3)*e-r+1)/3]}var Hr,Gr=function(t,e,r,n,i,a,o,s,l,c){var u=i.transform;return{u_is_size_zoom_constant:+(\\\"constant\\\"===t||\\\"source\\\"===t),u_is_size_feature_constant:+(\\\"constant\\\"===t||\\\"camera\\\"===t),u_size_t:e?e.uSizeT:0,u_size:e?e.uSize:0,u_camera_to_center_distance:u.cameraToCenterDistance,u_pitch:u.pitch/360*2*Math.PI,u_rotate_symbol:+r,u_aspect_ratio:u.width/u.height,u_fade_change:i.options.fadeDuration?i.symbolFadeChange:1,u_matrix:a,u_label_plane_matrix:o,u_coord_matrix:s,u_is_text:+l,u_pitch_with_map:+n,u_texsize:c,u_texture:0}},Yr=function(e,r,n,i,a,o,s,l,c,u,f){var h=a.transform;return t.extend(Gr(e,r,n,i,a,o,s,l,c,u),{u_gamma_scale:i?Math.cos(h._pitch)*h.cameraToCenterDistance:1,u_device_pixel_ratio:t.browser.devicePixelRatio,u_is_halo:+f})},Wr=function(e,r,n,i,a,o,s,l,c,u){return t.extend(Yr(e,r,n,i,a,o,s,l,!0,c,!0),{u_texsize_icon:u,u_texture_icon:1})},Xr=function(t,e,r){return{u_matrix:t,u_opacity:e,u_color:r}},Zr=function(e,r,n,i,a,o){return t.extend(function(t,e,r,n){var i=r.imageManager.getPattern(t.from.toString()),a=r.imageManager.getPattern(t.to.toString()),o=r.imageManager.getPixelSize(),s=o.width,l=o.height,c=Math.pow(2,n.tileID.overscaledZ),u=n.tileSize*Math.pow(2,r.transform.tileZoom)/c,f=u*(n.tileID.canonical.x+n.tileID.wrap*c),h=u*n.tileID.canonical.y;return{u_image:0,u_pattern_tl_a:i.tl,u_pattern_br_a:i.br,u_pattern_tl_b:a.tl,u_pattern_br_b:a.br,u_texsize:[s,l],u_mix:e.t,u_pattern_size_a:i.displaySize,u_pattern_size_b:a.displaySize,u_scale_a:e.fromScale,u_scale_b:e.toScale,u_tile_units_to_pixels:1/pe(n,1,r.transform.tileZoom),u_pixel_coord_upper:[f>>16,h>>16],u_pixel_coord_lower:[65535&f,65535&h]}}(i,o,n,a),{u_matrix:e,u_opacity:r})},Jr={fillExtrusion:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fillExtrusionPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_height_factor:new t.Uniform1f(e,r.u_height_factor),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fill:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},fillPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},fillOutline:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world)}},fillOutlinePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},circle:function(e,r){return{u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_scale_with_map:new t.Uniform1i(e,r.u_scale_with_map),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},collisionBox:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pixels_to_tile_units:new t.Uniform1f(e,r.u_pixels_to_tile_units),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_overscale_factor:new t.Uniform1f(e,r.u_overscale_factor)}},collisionCircle:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_inv_matrix:new t.UniformMatrix4f(e,r.u_inv_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_viewport_size:new t.Uniform2f(e,r.u_viewport_size)}},debug:function(e,r){return{u_color:new t.UniformColor(e,r.u_color),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_overlay:new t.Uniform1i(e,r.u_overlay),u_overlay_scale:new t.Uniform1f(e,r.u_overlay_scale)}},clippingMask:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmap:function(e,r){return{u_extrude_scale:new t.Uniform1f(e,r.u_extrude_scale),u_intensity:new t.Uniform1f(e,r.u_intensity),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmapTexture:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_color_ramp:new t.Uniform1i(e,r.u_color_ramp),u_opacity:new t.Uniform1f(e,r.u_opacity)}},hillshade:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_latrange:new t.Uniform2f(e,r.u_latrange),u_light:new t.Uniform2f(e,r.u_light),u_shadow:new t.UniformColor(e,r.u_shadow),u_highlight:new t.UniformColor(e,r.u_highlight),u_accent:new t.UniformColor(e,r.u_accent)}},hillshadePrepare:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_dimension:new t.Uniform2f(e,r.u_dimension),u_zoom:new t.Uniform1f(e,r.u_zoom),u_maxzoom:new t.Uniform1f(e,r.u_maxzoom),u_unpack:new t.Uniform4f(e,r.u_unpack)}},line:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels)}},lineGradient:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_image:new t.Uniform1i(e,r.u_image)}},linePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_texsize:new t.Uniform2f(e,r.u_texsize),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_image:new t.Uniform1i(e,r.u_image),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},lineSDF:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_patternscale_a:new t.Uniform2f(e,r.u_patternscale_a),u_patternscale_b:new t.Uniform2f(e,r.u_patternscale_b),u_sdfgamma:new t.Uniform1f(e,r.u_sdfgamma),u_image:new t.Uniform1i(e,r.u_image),u_tex_y_a:new t.Uniform1f(e,r.u_tex_y_a),u_tex_y_b:new t.Uniform1f(e,r.u_tex_y_b),u_mix:new t.Uniform1f(e,r.u_mix)}},raster:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_tl_parent:new t.Uniform2f(e,r.u_tl_parent),u_scale_parent:new t.Uniform1f(e,r.u_scale_parent),u_buffer_scale:new t.Uniform1f(e,r.u_buffer_scale),u_fade_t:new t.Uniform1f(e,r.u_fade_t),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image0:new t.Uniform1i(e,r.u_image0),u_image1:new t.Uniform1i(e,r.u_image1),u_brightness_low:new t.Uniform1f(e,r.u_brightness_low),u_brightness_high:new t.Uniform1f(e,r.u_brightness_high),u_saturation_factor:new t.Uniform1f(e,r.u_saturation_factor),u_contrast_factor:new t.Uniform1f(e,r.u_contrast_factor),u_spin_weights:new t.Uniform3f(e,r.u_spin_weights)}},symbolIcon:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture)}},symbolSDF:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture),u_gamma_scale:new t.Uniform1f(e,r.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_is_halo:new t.Uniform1i(e,r.u_is_halo)}},symbolTextAndIcon:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texsize_icon:new t.Uniform2f(e,r.u_texsize_icon),u_texture:new t.Uniform1i(e,r.u_texture),u_texture_icon:new t.Uniform1i(e,r.u_texture_icon),u_gamma_scale:new t.Uniform1f(e,r.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_is_halo:new t.Uniform1i(e,r.u_is_halo)}},background:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_color:new t.UniformColor(e,r.u_color)}},backgroundPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image:new t.Uniform1i(e,r.u_image),u_pattern_tl_a:new t.Uniform2f(e,r.u_pattern_tl_a),u_pattern_br_a:new t.Uniform2f(e,r.u_pattern_br_a),u_pattern_tl_b:new t.Uniform2f(e,r.u_pattern_tl_b),u_pattern_br_b:new t.Uniform2f(e,r.u_pattern_br_b),u_texsize:new t.Uniform2f(e,r.u_texsize),u_mix:new t.Uniform1f(e,r.u_mix),u_pattern_size_a:new t.Uniform2f(e,r.u_pattern_size_a),u_pattern_size_b:new t.Uniform2f(e,r.u_pattern_size_b),u_scale_a:new t.Uniform1f(e,r.u_scale_a),u_scale_b:new t.Uniform1f(e,r.u_scale_b),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_tile_units_to_pixels:new t.Uniform1f(e,r.u_tile_units_to_pixels)}}};function Kr(e,r,n,i,a,o,s){for(var l=e.context,c=l.gl,u=e.useProgram(\\\"collisionBox\\\"),f=[],h=0,p=0,d=0;d<i.length;d++){var m=i[d],g=r.getTile(m),v=g.getBucket(n);if(v){var y=m.posMatrix;0===a[0]&&0===a[1]||(y=e.translatePosMatrix(m.posMatrix,g,a,o));var x=s?v.textCollisionBox:v.iconCollisionBox,b=v.collisionCircleArray;if(b.length>0){var _=t.create(),w=y;t.mul(_,v.placementInvProjMatrix,e.transform.glCoordMatrix),t.mul(_,_,v.placementViewportMatrix),f.push({circleArray:b,circleOffset:p,transform:w,invTransform:_}),p=h+=b.length/4}x&&u.draw(l,c.LINES,Mt.disabled,At.disabled,e.colorModeForRenderPass(),Et.disabled,Cr(y,e.transform,g),n.id,x.layoutVertexBuffer,x.indexBuffer,x.segments,null,e.transform.zoom,null,null,x.collisionVertexBuffer)}}if(s&&f.length){var T=e.useProgram(\\\"collisionCircle\\\"),k=new t.StructArrayLayout2f1f2i16;k.resize(4*h),k._trim();for(var M=0,A=0,S=f;A<S.length;A+=1)for(var E=S[A],L=0;L<E.circleArray.length/4;L++){var C=4*L,P=E.circleArray[C+0],I=E.circleArray[C+1],O=E.circleArray[C+2],z=E.circleArray[C+3];k.emplace(M++,P,I,O,z,0),k.emplace(M++,P,I,O,z,1),k.emplace(M++,P,I,O,z,2),k.emplace(M++,P,I,O,z,3)}(!Hr||Hr.length<2*h)&&(Hr=function(e){var r=2*e,n=new t.StructArrayLayout3ui6;n.resize(r),n._trim();for(var i=0;i<r;i++){var a=6*i;n.uint16[a+0]=4*i+0,n.uint16[a+1]=4*i+1,n.uint16[a+2]=4*i+2,n.uint16[a+3]=4*i+2,n.uint16[a+4]=4*i+3,n.uint16[a+5]=4*i+0}return n}(h));for(var D=l.createIndexBuffer(Hr,!0),R=l.createVertexBuffer(k,t.collisionCircleLayout.members,!0),F=0,B=f;F<B.length;F+=1){var N=B[F],j=Pr(N.transform,N.invTransform,e.transform);T.draw(l,c.TRIANGLES,Mt.disabled,At.disabled,e.colorModeForRenderPass(),Et.disabled,j,n.id,R,D,t.SegmentVector.simpleSegment(0,2*N.circleOffset,N.circleArray.length,N.circleArray.length/2),null,e.transform.zoom,null,null,null)}R.destroy(),D.destroy()}}var Qr=t.identity(new Float32Array(16));function $r(e,r,n,i,a,o){var s=t.getAnchorAlignment(e),l=-(s.horizontalAlign-.5)*r,c=-(s.verticalAlign-.5)*n,u=t.evaluateVariableOffset(e,i);return new t.Point((l/a+u[0])*o,(c/a+u[1])*o)}function tn(e,r,n,i,a,o,s,l,c,u,f){var h=e.text.placedSymbolArray,p=e.text.dynamicLayoutVertexArray,d=e.icon.dynamicLayoutVertexArray,m={};p.clear();for(var g=0;g<h.length;g++){var v=h.get(g),y=e.allowVerticalPlacement&&!v.placedOrientation,x=v.hidden||!v.crossTileID||y?null:i[v.crossTileID];if(x){var b=new t.Point(v.anchorX,v.anchorY),_=te(b,n?l:s),w=ee(o.cameraToCenterDistance,_.signedDistanceFromCamera),T=a.evaluateSizeForFeature(e.textSizeData,u,v)*w/t.ONE_EM;n&&(T*=e.tilePixelRatio/c);for(var k=x.width,M=x.height,A=$r(x.anchor,k,M,x.textOffset,x.textBoxScale,T),S=n?te(b.add(A),s).point:_.point.add(r?A.rotate(-o.angle):A),E=e.allowVerticalPlacement&&v.placedOrientation===t.WritingMode.vertical?Math.PI/2:0,L=0;L<v.numGlyphs;L++)t.addDynamicAttributes(p,S,E);f&&v.associatedIconIndex>=0&&(m[v.associatedIconIndex]={shiftedAnchor:S,angle:E})}else ue(v.numGlyphs,p)}if(f){d.clear();for(var C=e.icon.placedSymbolArray,P=0;P<C.length;P++){var I=C.get(P);if(I.hidden)ue(I.numGlyphs,d);else{var O=m[P];if(O)for(var z=0;z<I.numGlyphs;z++)t.addDynamicAttributes(d,O.shiftedAnchor,O.angle);else ue(I.numGlyphs,d)}}e.icon.dynamicLayoutVertexBuffer.updateData(d)}e.text.dynamicLayoutVertexBuffer.updateData(p)}function en(t,e,r){return r.iconsInText&&e?\\\"symbolTextAndIcon\\\":t?\\\"symbolSDF\\\":\\\"symbolIcon\\\"}function rn(e,r,n,i,a,o,s,l,c,u,f,h){for(var p=e.context,d=p.gl,m=e.transform,g=\\\"map\\\"===l,v=\\\"map\\\"===c,y=g&&\\\"point\\\"!==n.layout.get(\\\"symbol-placement\\\"),x=g&&!v&&!y,b=void 0!==n.layout.get(\\\"symbol-sort-key\\\").constantOr(1),_=e.depthModeForSublayer(0,Mt.ReadOnly),w=n.layout.get(\\\"text-variable-anchor\\\"),T=[],k=0,M=i;k<M.length;k+=1){var A=M[k],S=r.getTile(A),E=S.getBucket(n);if(E){var L=a?E.text:E.icon;if(L&&L.segments.get().length){var C=L.programConfigurations.get(n.id),P=a||E.sdfIcons,I=a?E.textSizeData:E.iconSizeData,O=v||0!==m.pitch,z=e.useProgram(en(P,a,E),C),D=t.evaluateSizeForZoom(I,m.zoom),R=void 0,F=[0,0],B=void 0,N=void 0,j=null,U=void 0;if(a){if(B=S.glyphAtlasTexture,N=d.LINEAR,R=S.glyphAtlasTexture.size,E.iconsInText){F=S.imageAtlasTexture.size,j=S.imageAtlasTexture;var V=\\\"composite\\\"===I.kind||\\\"camera\\\"===I.kind;U=O||e.options.rotating||e.options.zooming||V?d.LINEAR:d.NEAREST}}else{var q=1!==n.layout.get(\\\"icon-size\\\").constantOr(0)||E.iconsNeedLinear;B=S.imageAtlasTexture,N=P||e.options.rotating||e.options.zooming||q||O?d.LINEAR:d.NEAREST,R=S.imageAtlasTexture.size}var H=pe(S,1,e.transform.zoom),G=Qt(A.posMatrix,v,g,e.transform,H),Y=$t(A.posMatrix,v,g,e.transform,H),W=w&&E.hasTextData(),X=\\\"none\\\"!==n.layout.get(\\\"icon-text-fit\\\")&&W&&E.hasIconData();y&&ne(E,A.posMatrix,e,a,G,Y,v,u);var Z=e.translatePosMatrix(A.posMatrix,S,o,s),J=y||a&&w||X?Qr:G,K=e.translatePosMatrix(Y,S,o,s,!0),Q=P&&0!==n.paint.get(a?\\\"text-halo-width\\\":\\\"icon-halo-width\\\").constantOr(1),$={program:z,buffers:L,uniformValues:P?E.iconsInText?Wr(I.kind,D,x,v,e,Z,J,K,R,F):Yr(I.kind,D,x,v,e,Z,J,K,a,R,!0):Gr(I.kind,D,x,v,e,Z,J,K,a,R),atlasTexture:B,atlasTextureIcon:j,atlasInterpolation:N,atlasInterpolationIcon:U,isSDF:P,hasHalo:Q};if(b)for(var tt=0,et=L.segments.get();tt<et.length;tt+=1){var rt=et[tt];T.push({segments:new t.SegmentVector([rt]),sortKey:rt.sortKey,state:$})}else T.push({segments:L.segments,sortKey:0,state:$})}}}b&&T.sort((function(t,e){return t.sortKey-e.sortKey}));for(var nt=0,it=T;nt<it.length;nt+=1){var at=it[nt],ot=at.state;if(p.activeTexture.set(d.TEXTURE0),ot.atlasTexture.bind(ot.atlasInterpolation,d.CLAMP_TO_EDGE),ot.atlasTextureIcon&&(p.activeTexture.set(d.TEXTURE1),ot.atlasTextureIcon&&ot.atlasTextureIcon.bind(ot.atlasInterpolationIcon,d.CLAMP_TO_EDGE)),ot.isSDF){var st=ot.uniformValues;ot.hasHalo&&(st.u_is_halo=1,nn(ot.buffers,at.segments,n,e,ot.program,_,f,h,st)),st.u_is_halo=0}nn(ot.buffers,at.segments,n,e,ot.program,_,f,h,ot.uniformValues)}}function nn(t,e,r,n,i,a,o,s,l){var c=n.context,u=c.gl;i.draw(c,u.TRIANGLES,a,o,s,Et.disabled,l,r.id,t.layoutVertexBuffer,t.indexBuffer,e,r.paint,n.transform.zoom,t.programConfigurations.get(r.id),t.dynamicLayoutVertexBuffer,t.opacityVertexBuffer)}function an(t,e,r,n,i,a,o){var s,l,c,u,f,h=t.context.gl,p=r.paint.get(\\\"fill-pattern\\\"),d=p&&p.constantOr(1),m=r.getCrossfadeParameters();o?(l=d&&!r.getPaintProperty(\\\"fill-outline-color\\\")?\\\"fillOutlinePattern\\\":\\\"fillOutline\\\",s=h.LINES):(l=d?\\\"fillPattern\\\":\\\"fill\\\",s=h.TRIANGLES);for(var g=0,v=n;g<v.length;g+=1){var y=v[g],x=e.getTile(y);if(!d||x.patternsLoaded()){var b=x.getBucket(r);if(b){var _=b.programConfigurations.get(r.id),w=t.useProgram(l,_);d&&(t.context.activeTexture.set(h.TEXTURE0),x.imageAtlasTexture.bind(h.LINEAR,h.CLAMP_TO_EDGE),_.updatePaintBuffers(m));var T=p.constantOr(null);if(T&&x.imageAtlas){var k=x.imageAtlas,M=k.patternPositions[T.to.toString()],A=k.patternPositions[T.from.toString()];M&&A&&_.setConstantPatternPositions(M,A)}var S=t.translatePosMatrix(y.posMatrix,x,r.paint.get(\\\"fill-translate\\\"),r.paint.get(\\\"fill-translate-anchor\\\"));if(o){u=b.indexBuffer2,f=b.segments2;var E=[h.drawingBufferWidth,h.drawingBufferHeight];c=\\\"fillOutlinePattern\\\"===l&&d?Er(S,t,m,x,E):Sr(S,E)}else u=b.indexBuffer,f=b.segments,c=d?Ar(S,t,m,x):Mr(S);w.draw(t.context,s,i,t.stencilModeForClipping(y),a,Et.disabled,c,r.id,b.layoutVertexBuffer,u,f,r.paint,t.transform.zoom,_)}}}}function on(t,e,r,n,i,a,o){for(var s=t.context,l=s.gl,c=r.paint.get(\\\"fill-extrusion-pattern\\\"),u=c.constantOr(1),f=r.getCrossfadeParameters(),h=r.paint.get(\\\"fill-extrusion-opacity\\\"),p=0,d=n;p<d.length;p+=1){var m=d[p],g=e.getTile(m),v=g.getBucket(r);if(v){var y=v.programConfigurations.get(r.id),x=t.useProgram(u?\\\"fillExtrusionPattern\\\":\\\"fillExtrusion\\\",y);u&&(t.context.activeTexture.set(l.TEXTURE0),g.imageAtlasTexture.bind(l.LINEAR,l.CLAMP_TO_EDGE),y.updatePaintBuffers(f));var b=c.constantOr(null);if(b&&g.imageAtlas){var _=g.imageAtlas,w=_.patternPositions[b.to.toString()],T=_.patternPositions[b.from.toString()];w&&T&&y.setConstantPatternPositions(w,T)}var k=t.translatePosMatrix(m.posMatrix,g,r.paint.get(\\\"fill-extrusion-translate\\\"),r.paint.get(\\\"fill-extrusion-translate-anchor\\\")),M=r.paint.get(\\\"fill-extrusion-vertical-gradient\\\"),A=u?kr(k,t,M,h,m,f,g):Tr(k,t,M,h);x.draw(s,s.gl.TRIANGLES,i,a,o,Et.backCCW,A,r.id,v.layoutVertexBuffer,v.indexBuffer,v.segments,r.paint,t.transform.zoom,y)}}}function sn(t,e,r,n,i,a){var o=t.context,s=o.gl,l=e.fbo;if(l){var c=t.useProgram(\\\"hillshade\\\");o.activeTexture.set(s.TEXTURE0),s.bindTexture(s.TEXTURE_2D,l.colorAttachment.get());var u=function(t,e,r){var n=r.paint.get(\\\"hillshade-shadow-color\\\"),i=r.paint.get(\\\"hillshade-highlight-color\\\"),a=r.paint.get(\\\"hillshade-accent-color\\\"),o=r.paint.get(\\\"hillshade-illumination-direction\\\")*(Math.PI/180);\\\"viewport\\\"===r.paint.get(\\\"hillshade-illumination-anchor\\\")&&(o-=t.transform.angle);var s=!t.options.moving;return{u_matrix:t.transform.calculatePosMatrix(e.tileID.toUnwrapped(),s),u_image:0,u_latrange:Dr(t,e.tileID),u_light:[r.paint.get(\\\"hillshade-exaggeration\\\"),o],u_shadow:n,u_highlight:i,u_accent:a}}(t,e,r);c.draw(o,s.TRIANGLES,n,i,a,Et.disabled,u,r.id,t.rasterBoundsBuffer,t.quadTriangleIndexBuffer,t.rasterBoundsSegments)}}function ln(e,r,n,i,a,o,s){var l=e.context,c=l.gl,u=r.dem;if(u&&u.data){var f=u.dim,h=u.stride,p=u.getPixels();if(l.activeTexture.set(c.TEXTURE1),l.pixelStoreUnpackPremultiplyAlpha.set(!1),r.demTexture=r.demTexture||e.getTileTexture(h),r.demTexture){var d=r.demTexture;d.update(p,{premultiply:!1}),d.bind(c.NEAREST,c.CLAMP_TO_EDGE)}else r.demTexture=new t.Texture(l,p,c.RGBA,{premultiply:!1}),r.demTexture.bind(c.NEAREST,c.CLAMP_TO_EDGE);l.activeTexture.set(c.TEXTURE0);var m=r.fbo;if(!m){var g=new t.Texture(l,{width:f,height:f,data:null},c.RGBA);g.bind(c.LINEAR,c.CLAMP_TO_EDGE),(m=r.fbo=l.createFramebuffer(f,f,!0)).colorAttachment.set(g.texture)}l.bindFramebuffer.set(m.framebuffer),l.viewport.set([0,0,f,f]),e.useProgram(\\\"hillshadePrepare\\\").draw(l,c.TRIANGLES,a,o,s,Et.disabled,function(e,r,n){var i=r.stride,a=t.create();return t.ortho(a,0,t.EXTENT,-t.EXTENT,0,0,1),t.translate(a,a,[0,-t.EXTENT,0]),{u_matrix:a,u_image:1,u_dimension:[i,i],u_zoom:e.overscaledZ,u_maxzoom:n,u_unpack:r.getUnpackVector()}}(r.tileID,u,i),n.id,e.rasterBoundsBuffer,e.quadTriangleIndexBuffer,e.rasterBoundsSegments),r.needsHillshadePrepare=!1}}function cn(e,r,n,i,a){var o=i.paint.get(\\\"raster-fade-duration\\\");if(o>0){var s=t.browser.now(),l=(s-e.timeAdded)/o,c=r?(s-r.timeAdded)/o:-1,u=n.getSource(),f=a.coveringZoomLevel({tileSize:u.tileSize,roundZoom:u.roundZoom}),h=!r||Math.abs(r.tileID.overscaledZ-f)>Math.abs(e.tileID.overscaledZ-f),p=h&&e.refreshedUponExpiration?1:t.clamp(h?l:1-c,0,1);return e.refreshedUponExpiration&&l>=1&&(e.refreshedUponExpiration=!1),r?{opacity:1,mix:1-p}:{opacity:p,mix:0}}return{opacity:1,mix:0}}var un=new t.Color(1,0,0,1),fn=new t.Color(0,1,0,1),hn=new t.Color(0,0,1,1),pn=new t.Color(1,0,1,1),dn=new t.Color(0,1,1,1);function mn(t){var e=t.transform.padding;gn(t,t.transform.height-(e.top||0),3,un),gn(t,e.bottom||0,3,fn),vn(t,e.left||0,3,hn),vn(t,t.transform.width-(e.right||0),3,pn);var r=t.transform.centerPoint;!function(t,e,r,n){yn(t,e-1,r-10,2,20,n),yn(t,e-10,r-1,20,2,n)}(t,r.x,t.transform.height-r.y,dn)}function gn(t,e,r,n){yn(t,0,e+r/2,t.transform.width,r,n)}function vn(t,e,r,n){yn(t,e-r/2,0,r,t.transform.height,n)}function yn(e,r,n,i,a,o){var s=e.context,l=s.gl;l.enable(l.SCISSOR_TEST),l.scissor(r*t.browser.devicePixelRatio,n*t.browser.devicePixelRatio,i*t.browser.devicePixelRatio,a*t.browser.devicePixelRatio),s.clear({color:o}),l.disable(l.SCISSOR_TEST)}function xn(e,r,n){var i=e.context,a=i.gl,o=n.posMatrix,s=e.useProgram(\\\"debug\\\"),l=Mt.disabled,c=At.disabled,u=e.colorModeForRenderPass();i.activeTexture.set(a.TEXTURE0),e.emptyTexture.bind(a.LINEAR,a.CLAMP_TO_EDGE),s.draw(i,a.LINE_STRIP,l,c,u,Et.disabled,Ir(o,t.Color.red),\\\"$debug\\\",e.debugBuffer,e.tileBorderIndexBuffer,e.debugSegments);var f=r.getTileByID(n.key).latestRawTileData,h=f&&f.byteLength||0,p=Math.floor(h/1024),d=r.getTile(n).tileSize,m=512/Math.min(d,512)*(n.overscaledZ/e.transform.zoom)*.5,g=n.canonical.toString();n.overscaledZ!==n.canonical.z&&(g+=\\\" => \\\"+n.overscaledZ),function(t,e){t.initDebugOverlayCanvas();var r=t.debugOverlayCanvas,n=t.context.gl,i=t.debugOverlayCanvas.getContext(\\\"2d\\\");i.clearRect(0,0,r.width,r.height),i.shadowColor=\\\"white\\\",i.shadowBlur=2,i.lineWidth=1.5,i.strokeStyle=\\\"white\\\",i.textBaseline=\\\"top\\\",i.font=\\\"bold 36px Open Sans, sans-serif\\\",i.fillText(e,5,5),i.strokeText(e,5,5),t.debugOverlayTexture.update(r),t.debugOverlayTexture.bind(n.LINEAR,n.CLAMP_TO_EDGE)}(e,g+\\\" \\\"+p+\\\"kb\\\"),s.draw(i,a.TRIANGLES,l,c,St.alphaBlended,Et.disabled,Ir(o,t.Color.transparent,m),\\\"$debug\\\",e.debugBuffer,e.quadTriangleIndexBuffer,e.debugSegments)}var bn={symbol:function(e,r,n,i,a){if(\\\"translucent\\\"===e.renderPass){var o=At.disabled,s=e.colorModeForRenderPass();n.layout.get(\\\"text-variable-anchor\\\")&&function(e,r,n,i,a,o,s){for(var l=r.transform,c=\\\"map\\\"===a,u=\\\"map\\\"===o,f=0,h=e;f<h.length;f+=1){var p=h[f],d=i.getTile(p),m=d.getBucket(n);if(m&&m.text&&m.text.segments.get().length){var g=m.textSizeData,v=t.evaluateSizeForZoom(g,l.zoom),y=pe(d,1,r.transform.zoom),x=Qt(p.posMatrix,u,c,r.transform,y),b=\\\"none\\\"!==n.layout.get(\\\"icon-text-fit\\\")&&m.hasIconData();if(v){var _=Math.pow(2,l.zoom-d.tileID.overscaledZ);tn(m,c,u,s,t.symbolSize,l,x,p.posMatrix,_,v,b)}}}}(i,e,n,r,n.layout.get(\\\"text-rotation-alignment\\\"),n.layout.get(\\\"text-pitch-alignment\\\"),a),0!==n.paint.get(\\\"icon-opacity\\\").constantOr(1)&&rn(e,r,n,i,!1,n.paint.get(\\\"icon-translate\\\"),n.paint.get(\\\"icon-translate-anchor\\\"),n.layout.get(\\\"icon-rotation-alignment\\\"),n.layout.get(\\\"icon-pitch-alignment\\\"),n.layout.get(\\\"icon-keep-upright\\\"),o,s),0!==n.paint.get(\\\"text-opacity\\\").constantOr(1)&&rn(e,r,n,i,!0,n.paint.get(\\\"text-translate\\\"),n.paint.get(\\\"text-translate-anchor\\\"),n.layout.get(\\\"text-rotation-alignment\\\"),n.layout.get(\\\"text-pitch-alignment\\\"),n.layout.get(\\\"text-keep-upright\\\"),o,s),r.map.showCollisionBoxes&&(Kr(e,r,n,i,n.paint.get(\\\"text-translate\\\"),n.paint.get(\\\"text-translate-anchor\\\"),!0),Kr(e,r,n,i,n.paint.get(\\\"icon-translate\\\"),n.paint.get(\\\"icon-translate-anchor\\\"),!1))}},circle:function(e,r,n,i){if(\\\"translucent\\\"===e.renderPass){var a=n.paint.get(\\\"circle-opacity\\\"),o=n.paint.get(\\\"circle-stroke-width\\\"),s=n.paint.get(\\\"circle-stroke-opacity\\\"),l=void 0!==n.layout.get(\\\"circle-sort-key\\\").constantOr(1);if(0!==a.constantOr(1)||0!==o.constantOr(1)&&0!==s.constantOr(1)){for(var c=e.context,u=c.gl,f=e.depthModeForSublayer(0,Mt.ReadOnly),h=At.disabled,p=e.colorModeForRenderPass(),d=[],m=0;m<i.length;m++){var g=i[m],v=r.getTile(g),y=v.getBucket(n);if(y){var x=y.programConfigurations.get(n.id),b={programConfiguration:x,program:e.useProgram(\\\"circle\\\",x),layoutVertexBuffer:y.layoutVertexBuffer,indexBuffer:y.indexBuffer,uniformValues:Lr(e,g,v,n)};if(l)for(var _=0,w=y.segments.get();_<w.length;_+=1){var T=w[_];d.push({segments:new t.SegmentVector([T]),sortKey:T.sortKey,state:b})}else d.push({segments:y.segments,sortKey:0,state:b})}}l&&d.sort((function(t,e){return t.sortKey-e.sortKey}));for(var k=0,M=d;k<M.length;k+=1){var A=M[k],S=A.state,E=S.programConfiguration,L=S.program,C=S.layoutVertexBuffer,P=S.indexBuffer,I=S.uniformValues,O=A.segments;L.draw(c,u.TRIANGLES,f,h,p,Et.disabled,I,n.id,C,P,O,n.paint,e.transform.zoom,E)}}}},heatmap:function(e,r,n,i){if(0!==n.paint.get(\\\"heatmap-opacity\\\"))if(\\\"offscreen\\\"===e.renderPass){var a=e.context,o=a.gl,s=At.disabled,l=new St([o.ONE,o.ONE],t.Color.transparent,[!0,!0,!0,!0]);!function(t,e,r){var n=t.gl;t.activeTexture.set(n.TEXTURE1),t.viewport.set([0,0,e.width/4,e.height/4]);var i=r.heatmapFbo;if(i)n.bindTexture(n.TEXTURE_2D,i.colorAttachment.get()),t.bindFramebuffer.set(i.framebuffer);else{var a=n.createTexture();n.bindTexture(n.TEXTURE_2D,a),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_S,n.CLAMP_TO_EDGE),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_T,n.CLAMP_TO_EDGE),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MIN_FILTER,n.LINEAR),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MAG_FILTER,n.LINEAR),i=r.heatmapFbo=t.createFramebuffer(e.width/4,e.height/4,!1),function(t,e,r,n){var i=t.gl,a=t.extRenderToTextureHalfFloat?t.extTextureHalfFloat.HALF_FLOAT_OES:i.UNSIGNED_BYTE;i.texImage2D(i.TEXTURE_2D,0,i.RGBA,e.width/4,e.height/4,0,i.RGBA,a,null),n.colorAttachment.set(r)}(t,e,a,i)}}(a,e,n),a.clear({color:t.Color.transparent});for(var c=0;c<i.length;c++){var u=i[c];if(!r.hasRenderableParent(u)){var f=r.getTile(u),h=f.getBucket(n);if(h){var p=h.programConfigurations.get(n.id),d=e.useProgram(\\\"heatmap\\\",p),m=e.transform.zoom;d.draw(a,o.TRIANGLES,Mt.disabled,s,l,Et.disabled,zr(u.posMatrix,f,m,n.paint.get(\\\"heatmap-intensity\\\")),n.id,h.layoutVertexBuffer,h.indexBuffer,h.segments,n.paint,e.transform.zoom,p)}}}a.viewport.set([0,0,e.width,e.height])}else\\\"translucent\\\"===e.renderPass&&(e.context.setColorMode(e.colorModeForRenderPass()),function(e,r){var n=e.context,i=n.gl,a=r.heatmapFbo;if(!a)return;n.activeTexture.set(i.TEXTURE0),i.bindTexture(i.TEXTURE_2D,a.colorAttachment.get()),n.activeTexture.set(i.TEXTURE1);var o=r.colorRampTexture;o||(o=r.colorRampTexture=new t.Texture(n,r.colorRamp,i.RGBA));o.bind(i.LINEAR,i.CLAMP_TO_EDGE),e.useProgram(\\\"heatmapTexture\\\").draw(n,i.TRIANGLES,Mt.disabled,At.disabled,e.colorModeForRenderPass(),Et.disabled,function(e,r,n,i){var a=t.create();t.ortho(a,0,e.width,e.height,0,0,1);var o=e.context.gl;return{u_matrix:a,u_world:[o.drawingBufferWidth,o.drawingBufferHeight],u_image:n,u_color_ramp:i,u_opacity:r.paint.get(\\\"heatmap-opacity\\\")}}(e,r,0,1),r.id,e.viewportBuffer,e.quadTriangleIndexBuffer,e.viewportSegments,r.paint,e.transform.zoom)}(e,n))},line:function(e,r,n,i){if(\\\"translucent\\\"===e.renderPass){var a=n.paint.get(\\\"line-opacity\\\"),o=n.paint.get(\\\"line-width\\\");if(0!==a.constantOr(1)&&0!==o.constantOr(1)){var s=e.depthModeForSublayer(0,Mt.ReadOnly),l=e.colorModeForRenderPass(),c=n.paint.get(\\\"line-dasharray\\\"),u=n.paint.get(\\\"line-pattern\\\"),f=u.constantOr(1),h=n.paint.get(\\\"line-gradient\\\"),p=n.getCrossfadeParameters(),d=f?\\\"linePattern\\\":c?\\\"lineSDF\\\":h?\\\"lineGradient\\\":\\\"line\\\",m=e.context,g=m.gl,v=!0;if(h){m.activeTexture.set(g.TEXTURE0);var y=n.gradientTexture;if(!n.gradient)return;y||(y=n.gradientTexture=new t.Texture(m,n.gradient,g.RGBA)),y.bind(g.LINEAR,g.CLAMP_TO_EDGE)}for(var x=0,b=i;x<b.length;x+=1){var _=b[x],w=r.getTile(_);if(!f||w.patternsLoaded()){var T=w.getBucket(n);if(T){var k=T.programConfigurations.get(n.id),M=e.context.program.get(),A=e.useProgram(d,k),S=v||A.program!==M,E=u.constantOr(null);if(E&&w.imageAtlas){var L=w.imageAtlas,C=L.patternPositions[E.to.toString()],P=L.patternPositions[E.from.toString()];C&&P&&k.setConstantPatternPositions(C,P)}var I=f?Br(e,w,n,p):c?Nr(e,w,n,c,p):h?Fr(e,w,n):Rr(e,w,n);f?(m.activeTexture.set(g.TEXTURE0),w.imageAtlasTexture.bind(g.LINEAR,g.CLAMP_TO_EDGE),k.updatePaintBuffers(p)):c&&(S||e.lineAtlas.dirty)&&(m.activeTexture.set(g.TEXTURE0),e.lineAtlas.bind(m)),A.draw(m,g.TRIANGLES,s,e.stencilModeForClipping(_),l,Et.disabled,I,n.id,T.layoutVertexBuffer,T.indexBuffer,T.segments,n.paint,e.transform.zoom,k),v=!1}}}}}},fill:function(e,r,n,i){var a=n.paint.get(\\\"fill-color\\\"),o=n.paint.get(\\\"fill-opacity\\\");if(0!==o.constantOr(1)){var s=e.colorModeForRenderPass(),l=n.paint.get(\\\"fill-pattern\\\"),c=e.opaquePassEnabledForLayer()&&!l.constantOr(1)&&1===a.constantOr(t.Color.transparent).a&&1===o.constantOr(0)?\\\"opaque\\\":\\\"translucent\\\";if(e.renderPass===c){var u=e.depthModeForSublayer(1,\\\"opaque\\\"===e.renderPass?Mt.ReadWrite:Mt.ReadOnly);an(e,r,n,i,u,s,!1)}if(\\\"translucent\\\"===e.renderPass&&n.paint.get(\\\"fill-antialias\\\")){var f=e.depthModeForSublayer(n.getPaintProperty(\\\"fill-outline-color\\\")?2:0,Mt.ReadOnly);an(e,r,n,i,f,s,!0)}}},\\\"fill-extrusion\\\":function(t,e,r,n){var i=r.paint.get(\\\"fill-extrusion-opacity\\\");if(0!==i&&\\\"translucent\\\"===t.renderPass){var a=new Mt(t.context.gl.LEQUAL,Mt.ReadWrite,t.depthRangeFor3D);if(1!==i||r.paint.get(\\\"fill-extrusion-pattern\\\").constantOr(1))on(t,e,r,n,a,At.disabled,St.disabled),on(t,e,r,n,a,t.stencilModeFor3D(),t.colorModeForRenderPass());else{var o=t.colorModeForRenderPass();on(t,e,r,n,a,At.disabled,o)}}},hillshade:function(t,e,r,n){if(\\\"offscreen\\\"===t.renderPass||\\\"translucent\\\"===t.renderPass){for(var i=t.context,a=e.getSource().maxzoom,o=t.depthModeForSublayer(0,Mt.ReadOnly),s=t.colorModeForRenderPass(),l=\\\"translucent\\\"===t.renderPass?t.stencilConfigForOverlap(n):[{},n],c=l[0],u=0,f=l[1];u<f.length;u+=1){var h=f[u],p=e.getTile(h);p.needsHillshadePrepare&&\\\"offscreen\\\"===t.renderPass?ln(t,p,r,a,o,At.disabled,s):\\\"translucent\\\"===t.renderPass&&sn(t,p,r,o,c[h.overscaledZ],s)}i.viewport.set([0,0,t.width,t.height])}},raster:function(t,e,r,n){if(\\\"translucent\\\"===t.renderPass&&0!==r.paint.get(\\\"raster-opacity\\\")&&n.length)for(var i=t.context,a=i.gl,o=e.getSource(),s=t.useProgram(\\\"raster\\\"),l=t.colorModeForRenderPass(),c=o instanceof I?[{},n]:t.stencilConfigForOverlap(n),u=c[0],f=c[1],h=f[f.length-1].overscaledZ,p=!t.options.moving,d=0,m=f;d<m.length;d+=1){var g=m[d],v=t.depthModeForSublayer(g.overscaledZ-h,1===r.paint.get(\\\"raster-opacity\\\")?Mt.ReadWrite:Mt.ReadOnly,a.LESS),y=e.getTile(g),x=t.transform.calculatePosMatrix(g.toUnwrapped(),p);y.registerFadeDuration(r.paint.get(\\\"raster-fade-duration\\\"));var b=e.findLoadedParent(g,0),_=cn(y,b,e,r,t.transform),w=void 0,T=void 0,k=\\\"nearest\\\"===r.paint.get(\\\"raster-resampling\\\")?a.NEAREST:a.LINEAR;i.activeTexture.set(a.TEXTURE0),y.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST),i.activeTexture.set(a.TEXTURE1),b?(b.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST),w=Math.pow(2,b.tileID.overscaledZ-y.tileID.overscaledZ),T=[y.tileID.canonical.x*w%1,y.tileID.canonical.y*w%1]):y.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST);var M=Vr(x,T||[0,0],w||1,_,r);o instanceof I?s.draw(i,a.TRIANGLES,v,At.disabled,l,Et.disabled,M,r.id,o.boundsBuffer,t.quadTriangleIndexBuffer,o.boundsSegments):s.draw(i,a.TRIANGLES,v,u[g.overscaledZ],l,Et.disabled,M,r.id,t.rasterBoundsBuffer,t.quadTriangleIndexBuffer,t.rasterBoundsSegments)}},background:function(t,e,r){var n=r.paint.get(\\\"background-color\\\"),i=r.paint.get(\\\"background-opacity\\\");if(0!==i){var a=t.context,o=a.gl,s=t.transform,l=s.tileSize,c=r.paint.get(\\\"background-pattern\\\");if(!t.isPatternMissing(c)){var u=!c&&1===n.a&&1===i&&t.opaquePassEnabledForLayer()?\\\"opaque\\\":\\\"translucent\\\";if(t.renderPass===u){var f=At.disabled,h=t.depthModeForSublayer(0,\\\"opaque\\\"===u?Mt.ReadWrite:Mt.ReadOnly),p=t.colorModeForRenderPass(),d=t.useProgram(c?\\\"backgroundPattern\\\":\\\"background\\\"),m=s.coveringTiles({tileSize:l});c&&(a.activeTexture.set(o.TEXTURE0),t.imageManager.bind(t.context));for(var g=r.getCrossfadeParameters(),v=0,y=m;v<y.length;v+=1){var x=y[v],b=t.transform.calculatePosMatrix(x.toUnwrapped()),_=c?Zr(b,i,t,c,{tileID:x,tileSize:l},g):Xr(b,i,n);d.draw(a,o.TRIANGLES,h,f,p,Et.disabled,_,r.id,t.tileExtentBuffer,t.quadTriangleIndexBuffer,t.tileExtentSegments)}}}}},debug:function(t,e,r){for(var n=0;n<r.length;n++)xn(t,e,r[n])},custom:function(t,e,r){var n=t.context,i=r.implementation;if(\\\"offscreen\\\"===t.renderPass){var a=i.prerender;a&&(t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),a.call(i,n.gl,t.transform.customLayerMatrix()),n.setDirty(),t.setBaseState())}else if(\\\"translucent\\\"===t.renderPass){t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),n.setStencilMode(At.disabled);var o=\\\"3d\\\"===i.renderingMode?new Mt(t.context.gl.LEQUAL,Mt.ReadWrite,t.depthRangeFor3D):t.depthModeForSublayer(0,Mt.ReadOnly);n.setDepthMode(o),i.render(n.gl,t.transform.customLayerMatrix()),n.setDirty(),t.setBaseState(),n.bindFramebuffer.set(null)}}},_n=function(t,e){this.context=new Lt(t),this.transform=e,this._tileTextures={},this.setup(),this.numSublayers=Ct.maxUnderzooming+Ct.maxOverzooming+1,this.depthEpsilon=1/Math.pow(2,16),this.crossTileSymbolIndex=new Ne,this.gpuTimers={}};_n.prototype.resize=function(e,r){if(this.width=e*t.browser.devicePixelRatio,this.height=r*t.browser.devicePixelRatio,this.context.viewport.set([0,0,this.width,this.height]),this.style)for(var n=0,i=this.style._order;n<i.length;n+=1){var a=i[n];this.style._layers[a].resize()}},_n.prototype.setup=function(){var e=this.context,r=new t.StructArrayLayout2i4;r.emplaceBack(0,0),r.emplaceBack(t.EXTENT,0),r.emplaceBack(0,t.EXTENT),r.emplaceBack(t.EXTENT,t.EXTENT),this.tileExtentBuffer=e.createVertexBuffer(r,Ge.members),this.tileExtentSegments=t.SegmentVector.simpleSegment(0,0,4,2);var n=new t.StructArrayLayout2i4;n.emplaceBack(0,0),n.emplaceBack(t.EXTENT,0),n.emplaceBack(0,t.EXTENT),n.emplaceBack(t.EXTENT,t.EXTENT),this.debugBuffer=e.createVertexBuffer(n,Ge.members),this.debugSegments=t.SegmentVector.simpleSegment(0,0,4,5);var i=new t.StructArrayLayout4i8;i.emplaceBack(0,0,0,0),i.emplaceBack(t.EXTENT,0,t.EXTENT,0),i.emplaceBack(0,t.EXTENT,0,t.EXTENT),i.emplaceBack(t.EXTENT,t.EXTENT,t.EXTENT,t.EXTENT),this.rasterBoundsBuffer=e.createVertexBuffer(i,P.members),this.rasterBoundsSegments=t.SegmentVector.simpleSegment(0,0,4,2);var a=new t.StructArrayLayout2i4;a.emplaceBack(0,0),a.emplaceBack(1,0),a.emplaceBack(0,1),a.emplaceBack(1,1),this.viewportBuffer=e.createVertexBuffer(a,Ge.members),this.viewportSegments=t.SegmentVector.simpleSegment(0,0,4,2);var o=new t.StructArrayLayout1ui2;o.emplaceBack(0),o.emplaceBack(1),o.emplaceBack(3),o.emplaceBack(2),o.emplaceBack(0),this.tileBorderIndexBuffer=e.createIndexBuffer(o);var s=new t.StructArrayLayout3ui6;s.emplaceBack(0,1,2),s.emplaceBack(2,1,3),this.quadTriangleIndexBuffer=e.createIndexBuffer(s),this.emptyTexture=new t.Texture(e,{width:1,height:1,data:new Uint8Array([0,0,0,0])},e.gl.RGBA);var l=this.context.gl;this.stencilClearMode=new At({func:l.ALWAYS,mask:0},0,255,l.ZERO,l.ZERO,l.ZERO)},_n.prototype.clearStencil=function(){var e=this.context,r=e.gl;this.nextStencilID=1,this.currentStencilSource=void 0;var n=t.create();t.ortho(n,0,this.width,this.height,0,0,1),t.scale(n,n,[r.drawingBufferWidth,r.drawingBufferHeight,0]),this.useProgram(\\\"clippingMask\\\").draw(e,r.TRIANGLES,Mt.disabled,this.stencilClearMode,St.disabled,Et.disabled,Or(n),\\\"$clipping\\\",this.viewportBuffer,this.quadTriangleIndexBuffer,this.viewportSegments)},_n.prototype._renderTileClippingMasks=function(t,e){if(this.currentStencilSource!==t.source&&t.isTileClipped()&&e&&e.length){this.currentStencilSource=t.source;var r=this.context,n=r.gl;this.nextStencilID+e.length>256&&this.clearStencil(),r.setColorMode(St.disabled),r.setDepthMode(Mt.disabled);var i=this.useProgram(\\\"clippingMask\\\");this._tileClippingMaskIDs={};for(var a=0,o=e;a<o.length;a+=1){var s=o[a],l=this._tileClippingMaskIDs[s.key]=this.nextStencilID++;i.draw(r,n.TRIANGLES,Mt.disabled,new At({func:n.ALWAYS,mask:0},l,255,n.KEEP,n.KEEP,n.REPLACE),St.disabled,Et.disabled,Or(s.posMatrix),\\\"$clipping\\\",this.tileExtentBuffer,this.quadTriangleIndexBuffer,this.tileExtentSegments)}}},_n.prototype.stencilModeFor3D=function(){this.currentStencilSource=void 0,this.nextStencilID+1>256&&this.clearStencil();var t=this.nextStencilID++,e=this.context.gl;return new At({func:e.NOTEQUAL,mask:255},t,255,e.KEEP,e.KEEP,e.REPLACE)},_n.prototype.stencilModeForClipping=function(t){var e=this.context.gl;return new At({func:e.EQUAL,mask:255},this._tileClippingMaskIDs[t.key],0,e.KEEP,e.KEEP,e.REPLACE)},_n.prototype.stencilConfigForOverlap=function(t){var e,r=this.context.gl,n=t.sort((function(t,e){return e.overscaledZ-t.overscaledZ})),i=n[n.length-1].overscaledZ,a=n[0].overscaledZ-i+1;if(a>1){this.currentStencilSource=void 0,this.nextStencilID+a>256&&this.clearStencil();for(var o={},s=0;s<a;s++)o[s+i]=new At({func:r.GEQUAL,mask:255},s+this.nextStencilID,255,r.KEEP,r.KEEP,r.REPLACE);return this.nextStencilID+=a,[o,n]}return[(e={},e[i]=At.disabled,e),n]},_n.prototype.colorModeForRenderPass=function(){var e=this.context.gl;if(this._showOverdrawInspector){return new St([e.CONSTANT_COLOR,e.ONE],new t.Color(1/8,1/8,1/8,0),[!0,!0,!0,!0])}return\\\"opaque\\\"===this.renderPass?St.unblended:St.alphaBlended},_n.prototype.depthModeForSublayer=function(t,e,r){if(!this.opaquePassEnabledForLayer())return Mt.disabled;var n=1-((1+this.currentLayer)*this.numSublayers+t)*this.depthEpsilon;return new Mt(r||this.context.gl.LEQUAL,e,[n,n])},_n.prototype.opaquePassEnabledForLayer=function(){return this.currentLayer<this.opaquePassCutoff},_n.prototype.render=function(e,r){var n=this;this.style=e,this.options=r,this.lineAtlas=e.lineAtlas,this.imageManager=e.imageManager,this.glyphManager=e.glyphManager,this.symbolFadeChange=e.placement.symbolFadeChange(t.browser.now()),this.imageManager.beginFrame();var i=this.style._order,a=this.style.sourceCaches;for(var o in a){var s=a[o];s.used&&s.prepare(this.context)}var l,c,u={},f={},h={};for(var p in a){var d=a[p];u[p]=d.getVisibleCoordinates(),f[p]=u[p].slice().reverse(),h[p]=d.getVisibleCoordinates(!0).reverse()}this.opaquePassCutoff=1/0;for(var m=0;m<i.length;m++){var g=i[m];if(this.style._layers[g].is3D()){this.opaquePassCutoff=m;break}}this.renderPass=\\\"offscreen\\\";for(var v=0,y=i;v<y.length;v+=1){var x=y[v],b=this.style._layers[x];if(b.hasOffscreenPass()&&!b.isHidden(this.transform.zoom)){var _=f[b.source];(\\\"custom\\\"===b.type||_.length)&&this.renderLayer(this,a[b.source],b,_)}}for(this.context.bindFramebuffer.set(null),this.context.clear({color:r.showOverdrawInspector?t.Color.black:t.Color.transparent,depth:1}),this.clearStencil(),this._showOverdrawInspector=r.showOverdrawInspector,this.depthRangeFor3D=[0,1-(e._order.length+2)*this.numSublayers*this.depthEpsilon],this.renderPass=\\\"opaque\\\",this.currentLayer=i.length-1;this.currentLayer>=0;this.currentLayer--){var w=this.style._layers[i[this.currentLayer]],T=a[w.source],k=u[w.source];this._renderTileClippingMasks(w,k),this.renderLayer(this,T,w,k)}for(this.renderPass=\\\"translucent\\\",this.currentLayer=0;this.currentLayer<i.length;this.currentLayer++){var M=this.style._layers[i[this.currentLayer]],A=a[M.source],S=(\\\"symbol\\\"===M.type?h:f)[M.source];this._renderTileClippingMasks(M,u[M.source]),this.renderLayer(this,A,M,S)}this.options.showTileBoundaries&&(t.values(this.style._layers).forEach((function(t){t.source&&!t.isHidden(n.transform.zoom)&&(t.source!==(c&&c.id)&&(c=n.style.sourceCaches[t.source]),(!l||l.getSource().maxzoom<c.getSource().maxzoom)&&(l=c))})),l&&bn.debug(this,l,l.getVisibleCoordinates()));this.options.showPadding&&mn(this),this.context.setDefault()},_n.prototype.renderLayer=function(t,e,r,n){r.isHidden(this.transform.zoom)||(\\\"background\\\"===r.type||\\\"custom\\\"===r.type||n.length)&&(this.id=r.id,this.gpuTimingStart(r),bn[r.type](t,e,r,n,this.style.placement.variableOffsets),this.gpuTimingEnd())},_n.prototype.gpuTimingStart=function(t){if(this.options.gpuTiming){var e=this.context.extTimerQuery,r=this.gpuTimers[t.id];r||(r=this.gpuTimers[t.id]={calls:0,cpuTime:0,query:e.createQueryEXT()}),r.calls++,e.beginQueryEXT(e.TIME_ELAPSED_EXT,r.query)}},_n.prototype.gpuTimingEnd=function(){if(this.options.gpuTiming){var t=this.context.extTimerQuery;t.endQueryEXT(t.TIME_ELAPSED_EXT)}},_n.prototype.collectGpuTimers=function(){var t=this.gpuTimers;return this.gpuTimers={},t},_n.prototype.queryGpuTimers=function(t){var e={};for(var r in t){var n=t[r],i=this.context.extTimerQuery,a=i.getQueryObjectEXT(n.query,i.QUERY_RESULT_EXT)/1e6;i.deleteQueryEXT(n.query),e[r]=a}return e},_n.prototype.translatePosMatrix=function(e,r,n,i,a){if(!n[0]&&!n[1])return e;var o=a?\\\"map\\\"===i?this.transform.angle:0:\\\"viewport\\\"===i?-this.transform.angle:0;if(o){var s=Math.sin(o),l=Math.cos(o);n=[n[0]*l-n[1]*s,n[0]*s+n[1]*l]}var c=[a?n[0]:pe(r,n[0],this.transform.zoom),a?n[1]:pe(r,n[1],this.transform.zoom),0],u=new Float32Array(16);return t.translate(u,e,c),u},_n.prototype.saveTileTexture=function(t){var e=this._tileTextures[t.size[0]];e?e.push(t):this._tileTextures[t.size[0]]=[t]},_n.prototype.getTileTexture=function(t){var e=this._tileTextures[t];return e&&e.length>0?e.pop():null},_n.prototype.isPatternMissing=function(t){if(!t)return!1;if(!t.from||!t.to)return!0;var e=this.imageManager.getPattern(t.from.toString()),r=this.imageManager.getPattern(t.to.toString());return!e||!r},_n.prototype.useProgram=function(t,e){this.cache=this.cache||{};var r=\\\"\\\"+t+(e?e.cacheKey:\\\"\\\")+(this._showOverdrawInspector?\\\"/overdraw\\\":\\\"\\\");return this.cache[r]||(this.cache[r]=new _r(this.context,xr[t],e,Jr[t],this._showOverdrawInspector)),this.cache[r]},_n.prototype.setCustomLayerDefaults=function(){this.context.unbindVAO(),this.context.cullFace.setDefault(),this.context.activeTexture.setDefault(),this.context.pixelStoreUnpack.setDefault(),this.context.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.context.pixelStoreUnpackFlipY.setDefault()},_n.prototype.setBaseState=function(){var t=this.context.gl;this.context.cullFace.set(!1),this.context.viewport.set([0,0,this.width,this.height]),this.context.blendEquation.set(t.FUNC_ADD)},_n.prototype.initDebugOverlayCanvas=function(){if(null==this.debugOverlayCanvas){this.debugOverlayCanvas=t.window.document.createElement(\\\"canvas\\\"),this.debugOverlayCanvas.width=512,this.debugOverlayCanvas.height=512;var e=this.context.gl;this.debugOverlayTexture=new t.Texture(this.context,this.debugOverlayCanvas,e.RGBA)}},_n.prototype.destroy=function(){this.emptyTexture.destroy(),this.debugOverlayTexture&&this.debugOverlayTexture.destroy()};var wn=function(t,e){this.points=t,this.planes=e};wn.fromInvProjectionMatrix=function(e,r,n){var i=Math.pow(2,n),a=[[-1,1,-1,1],[1,1,-1,1],[1,-1,-1,1],[-1,-1,-1,1],[-1,1,1,1],[1,1,1,1],[1,-1,1,1],[-1,-1,1,1]].map((function(r){return t.transformMat4([],r,e)})).map((function(e){return t.scale$1([],e,1/e[3]/r*i)})),o=[[0,1,2],[6,5,4],[0,3,7],[2,1,5],[3,2,6],[0,4,5]].map((function(e){var r=t.sub([],a[e[0]],a[e[1]]),n=t.sub([],a[e[2]],a[e[1]]),i=t.normalize([],t.cross([],r,n)),o=-t.dot(i,a[e[1]]);return i.concat(o)}));return new wn(a,o)};var Tn=function(e,r){this.min=e,this.max=r,this.center=t.scale$2([],t.add([],this.min,this.max),.5)};Tn.prototype.quadrant=function(e){for(var r=[e%2==0,e<2],n=t.clone$2(this.min),i=t.clone$2(this.max),a=0;a<r.length;a++)n[a]=r[a]?this.min[a]:this.center[a],i[a]=r[a]?this.center[a]:this.max[a];return i[2]=this.max[2],new Tn(n,i)},Tn.prototype.distanceX=function(t){return Math.max(Math.min(this.max[0],t[0]),this.min[0])-t[0]},Tn.prototype.distanceY=function(t){return Math.max(Math.min(this.max[1],t[1]),this.min[1])-t[1]},Tn.prototype.intersects=function(e){for(var r=[[this.min[0],this.min[1],0,1],[this.max[0],this.min[1],0,1],[this.max[0],this.max[1],0,1],[this.min[0],this.max[1],0,1]],n=!0,i=0;i<e.planes.length;i++){for(var a=e.planes[i],o=0,s=0;s<r.length;s++)o+=t.dot$1(a,r[s])>=0;if(0===o)return 0;o!==r.length&&(n=!1)}if(n)return 2;for(var l=0;l<3;l++){for(var c=Number.MAX_VALUE,u=-Number.MAX_VALUE,f=0;f<e.points.length;f++){var h=e.points[f][l]-this.min[l];c=Math.min(c,h),u=Math.max(u,h)}if(u<0||c>this.max[l]-this.min[l])return 0}return 1};var kn=function(t,e,r,n){if(void 0===t&&(t=0),void 0===e&&(e=0),void 0===r&&(r=0),void 0===n&&(n=0),isNaN(t)||t<0||isNaN(e)||e<0||isNaN(r)||r<0||isNaN(n)||n<0)throw new Error(\\\"Invalid value for edge-insets, top, bottom, left and right must all be numbers\\\");this.top=t,this.bottom=e,this.left=r,this.right=n};kn.prototype.interpolate=function(e,r,n){return null!=r.top&&null!=e.top&&(this.top=t.number(e.top,r.top,n)),null!=r.bottom&&null!=e.bottom&&(this.bottom=t.number(e.bottom,r.bottom,n)),null!=r.left&&null!=e.left&&(this.left=t.number(e.left,r.left,n)),null!=r.right&&null!=e.right&&(this.right=t.number(e.right,r.right,n)),this},kn.prototype.getCenter=function(e,r){var n=t.clamp((this.left+e-this.right)/2,0,e),i=t.clamp((this.top+r-this.bottom)/2,0,r);return new t.Point(n,i)},kn.prototype.equals=function(t){return this.top===t.top&&this.bottom===t.bottom&&this.left===t.left&&this.right===t.right},kn.prototype.clone=function(){return new kn(this.top,this.bottom,this.left,this.right)},kn.prototype.toJSON=function(){return{top:this.top,bottom:this.bottom,left:this.left,right:this.right}};var Mn=function(e,r,n,i,a){this.tileSize=512,this.maxValidLatitude=85.051129,this._renderWorldCopies=void 0===a||a,this._minZoom=e||0,this._maxZoom=r||22,this._minPitch=null==n?0:n,this._maxPitch=null==i?60:i,this.setMaxBounds(),this.width=0,this.height=0,this._center=new t.LngLat(0,0),this.zoom=0,this.angle=0,this._fov=.6435011087932844,this._pitch=0,this._unmodified=!0,this._edgeInsets=new kn,this._posMatrixCache={},this._alignedPosMatrixCache={}},An={minZoom:{configurable:!0},maxZoom:{configurable:!0},minPitch:{configurable:!0},maxPitch:{configurable:!0},renderWorldCopies:{configurable:!0},worldSize:{configurable:!0},centerOffset:{configurable:!0},size:{configurable:!0},bearing:{configurable:!0},pitch:{configurable:!0},fov:{configurable:!0},zoom:{configurable:!0},center:{configurable:!0},padding:{configurable:!0},centerPoint:{configurable:!0},unmodified:{configurable:!0},point:{configurable:!0}};Mn.prototype.clone=function(){var t=new Mn(this._minZoom,this._maxZoom,this._minPitch,this.maxPitch,this._renderWorldCopies);return t.tileSize=this.tileSize,t.latRange=this.latRange,t.width=this.width,t.height=this.height,t._center=this._center,t.zoom=this.zoom,t.angle=this.angle,t._fov=this._fov,t._pitch=this._pitch,t._unmodified=this._unmodified,t._edgeInsets=this._edgeInsets.clone(),t._calcMatrices(),t},An.minZoom.get=function(){return this._minZoom},An.minZoom.set=function(t){this._minZoom!==t&&(this._minZoom=t,this.zoom=Math.max(this.zoom,t))},An.maxZoom.get=function(){return this._maxZoom},An.maxZoom.set=function(t){this._maxZoom!==t&&(this._maxZoom=t,this.zoom=Math.min(this.zoom,t))},An.minPitch.get=function(){return this._minPitch},An.minPitch.set=function(t){this._minPitch!==t&&(this._minPitch=t,this.pitch=Math.max(this.pitch,t))},An.maxPitch.get=function(){return this._maxPitch},An.maxPitch.set=function(t){this._maxPitch!==t&&(this._maxPitch=t,this.pitch=Math.min(this.pitch,t))},An.renderWorldCopies.get=function(){return this._renderWorldCopies},An.renderWorldCopies.set=function(t){void 0===t?t=!0:null===t&&(t=!1),this._renderWorldCopies=t},An.worldSize.get=function(){return this.tileSize*this.scale},An.centerOffset.get=function(){return this.centerPoint._sub(this.size._div(2))},An.size.get=function(){return new t.Point(this.width,this.height)},An.bearing.get=function(){return-this.angle/Math.PI*180},An.bearing.set=function(e){var r=-t.wrap(e,-180,180)*Math.PI/180;this.angle!==r&&(this._unmodified=!1,this.angle=r,this._calcMatrices(),this.rotationMatrix=t.create$2(),t.rotate(this.rotationMatrix,this.rotationMatrix,this.angle))},An.pitch.get=function(){return this._pitch/Math.PI*180},An.pitch.set=function(e){var r=t.clamp(e,this.minPitch,this.maxPitch)/180*Math.PI;this._pitch!==r&&(this._unmodified=!1,this._pitch=r,this._calcMatrices())},An.fov.get=function(){return this._fov/Math.PI*180},An.fov.set=function(t){t=Math.max(.01,Math.min(60,t)),this._fov!==t&&(this._unmodified=!1,this._fov=t/180*Math.PI,this._calcMatrices())},An.zoom.get=function(){return this._zoom},An.zoom.set=function(t){var e=Math.min(Math.max(t,this.minZoom),this.maxZoom);this._zoom!==e&&(this._unmodified=!1,this._zoom=e,this.scale=this.zoomScale(e),this.tileZoom=Math.floor(e),this.zoomFraction=e-this.tileZoom,this._constrain(),this._calcMatrices())},An.center.get=function(){return this._center},An.center.set=function(t){t.lat===this._center.lat&&t.lng===this._center.lng||(this._unmodified=!1,this._center=t,this._constrain(),this._calcMatrices())},An.padding.get=function(){return this._edgeInsets.toJSON()},An.padding.set=function(t){this._edgeInsets.equals(t)||(this._unmodified=!1,this._edgeInsets.interpolate(this._edgeInsets,t,1),this._calcMatrices())},An.centerPoint.get=function(){return this._edgeInsets.getCenter(this.width,this.height)},Mn.prototype.isPaddingEqual=function(t){return this._edgeInsets.equals(t)},Mn.prototype.interpolatePadding=function(t,e,r){this._unmodified=!1,this._edgeInsets.interpolate(t,e,r),this._constrain(),this._calcMatrices()},Mn.prototype.coveringZoomLevel=function(t){var e=(t.roundZoom?Math.round:Math.floor)(this.zoom+this.scaleZoom(this.tileSize/t.tileSize));return Math.max(0,e)},Mn.prototype.getVisibleUnwrappedCoordinates=function(e){var r=[new t.UnwrappedTileID(0,e)];if(this._renderWorldCopies)for(var n=this.pointCoordinate(new t.Point(0,0)),i=this.pointCoordinate(new t.Point(this.width,0)),a=this.pointCoordinate(new t.Point(this.width,this.height)),o=this.pointCoordinate(new t.Point(0,this.height)),s=Math.floor(Math.min(n.x,i.x,a.x,o.x)),l=Math.floor(Math.max(n.x,i.x,a.x,o.x)),c=s-1;c<=l+1;c++)0!==c&&r.push(new t.UnwrappedTileID(c,e));return r},Mn.prototype.coveringTiles=function(e){var r=this.coveringZoomLevel(e),n=r;if(void 0!==e.minzoom&&r<e.minzoom)return[];void 0!==e.maxzoom&&r>e.maxzoom&&(r=e.maxzoom);var i=t.MercatorCoordinate.fromLngLat(this.center),a=Math.pow(2,r),o=[a*i.x,a*i.y,0],s=wn.fromInvProjectionMatrix(this.invProjMatrix,this.worldSize,r),l=e.minzoom||0;this.pitch<=60&&this._edgeInsets.top<.1&&(l=r);var c=function(t){return{aabb:new Tn([t*a,0,0],[(t+1)*a,a,0]),zoom:0,x:0,y:0,wrap:t,fullyVisible:!1}},u=[],f=[],h=r,p=e.reparseOverscaled?n:r;if(this._renderWorldCopies)for(var d=1;d<=3;d++)u.push(c(-d)),u.push(c(d));for(u.push(c(0));u.length>0;){var m=u.pop(),g=m.x,v=m.y,y=m.fullyVisible;if(!y){var x=m.aabb.intersects(s);if(0===x)continue;y=2===x}var b=m.aabb.distanceX(o),_=m.aabb.distanceY(o),w=Math.max(Math.abs(b),Math.abs(_)),T=3+(1<<h-m.zoom)-2;if(m.zoom===h||w>T&&m.zoom>=l)f.push({tileID:new t.OverscaledTileID(m.zoom===h?p:m.zoom,m.wrap,m.zoom,g,v),distanceSq:t.sqrLen([o[0]-.5-g,o[1]-.5-v])});else for(var k=0;k<4;k++){var M=(g<<1)+k%2,A=(v<<1)+(k>>1);u.push({aabb:m.aabb.quadrant(k),zoom:m.zoom+1,x:M,y:A,wrap:m.wrap,fullyVisible:y})}}return f.sort((function(t,e){return t.distanceSq-e.distanceSq})).map((function(t){return t.tileID}))},Mn.prototype.resize=function(t,e){this.width=t,this.height=e,this.pixelsToGLUnits=[2/t,-2/e],this._constrain(),this._calcMatrices()},An.unmodified.get=function(){return this._unmodified},Mn.prototype.zoomScale=function(t){return Math.pow(2,t)},Mn.prototype.scaleZoom=function(t){return Math.log(t)/Math.LN2},Mn.prototype.project=function(e){var r=t.clamp(e.lat,-this.maxValidLatitude,this.maxValidLatitude);return new t.Point(t.mercatorXfromLng(e.lng)*this.worldSize,t.mercatorYfromLat(r)*this.worldSize)},Mn.prototype.unproject=function(e){return new t.MercatorCoordinate(e.x/this.worldSize,e.y/this.worldSize).toLngLat()},An.point.get=function(){return this.project(this.center)},Mn.prototype.setLocationAtPoint=function(e,r){var n=this.pointCoordinate(r),i=this.pointCoordinate(this.centerPoint),a=this.locationCoordinate(e),o=new t.MercatorCoordinate(a.x-(n.x-i.x),a.y-(n.y-i.y));this.center=this.coordinateLocation(o),this._renderWorldCopies&&(this.center=this.center.wrap())},Mn.prototype.locationPoint=function(t){return this.coordinatePoint(this.locationCoordinate(t))},Mn.prototype.pointLocation=function(t){return this.coordinateLocation(this.pointCoordinate(t))},Mn.prototype.locationCoordinate=function(e){return t.MercatorCoordinate.fromLngLat(e)},Mn.prototype.coordinateLocation=function(t){return t.toLngLat()},Mn.prototype.pointCoordinate=function(e){var r=[e.x,e.y,0,1],n=[e.x,e.y,1,1];t.transformMat4(r,r,this.pixelMatrixInverse),t.transformMat4(n,n,this.pixelMatrixInverse);var i=r[3],a=n[3],o=r[0]/i,s=n[0]/a,l=r[1]/i,c=n[1]/a,u=r[2]/i,f=n[2]/a,h=u===f?0:(0-u)/(f-u);return new t.MercatorCoordinate(t.number(o,s,h)/this.worldSize,t.number(l,c,h)/this.worldSize)},Mn.prototype.coordinatePoint=function(e){var r=[e.x*this.worldSize,e.y*this.worldSize,0,1];return t.transformMat4(r,r,this.pixelMatrix),new t.Point(r[0]/r[3],r[1]/r[3])},Mn.prototype.getBounds=function(){return(new t.LngLatBounds).extend(this.pointLocation(new t.Point(0,0))).extend(this.pointLocation(new t.Point(this.width,0))).extend(this.pointLocation(new t.Point(this.width,this.height))).extend(this.pointLocation(new t.Point(0,this.height)))},Mn.prototype.getMaxBounds=function(){return this.latRange&&2===this.latRange.length&&this.lngRange&&2===this.lngRange.length?new t.LngLatBounds([this.lngRange[0],this.latRange[0]],[this.lngRange[1],this.latRange[1]]):null},Mn.prototype.setMaxBounds=function(t){t?(this.lngRange=[t.getWest(),t.getEast()],this.latRange=[t.getSouth(),t.getNorth()],this._constrain()):(this.lngRange=null,this.latRange=[-this.maxValidLatitude,this.maxValidLatitude])},Mn.prototype.calculatePosMatrix=function(e,r){void 0===r&&(r=!1);var n=e.key,i=r?this._alignedPosMatrixCache:this._posMatrixCache;if(i[n])return i[n];var a=e.canonical,o=this.worldSize/this.zoomScale(a.z),s=a.x+Math.pow(2,a.z)*e.wrap,l=t.identity(new Float64Array(16));return t.translate(l,l,[s*o,a.y*o,0]),t.scale(l,l,[o/t.EXTENT,o/t.EXTENT,1]),t.multiply(l,r?this.alignedProjMatrix:this.projMatrix,l),i[n]=new Float32Array(l),i[n]},Mn.prototype.customLayerMatrix=function(){return this.mercatorMatrix.slice()},Mn.prototype._constrain=function(){if(this.center&&this.width&&this.height&&!this._constraining){this._constraining=!0;var e,r,n,i,a=-90,o=90,s=-180,l=180,c=this.size,u=this._unmodified;if(this.latRange){var f=this.latRange;a=t.mercatorYfromLat(f[1])*this.worldSize,e=(o=t.mercatorYfromLat(f[0])*this.worldSize)-a<c.y?c.y/(o-a):0}if(this.lngRange){var h=this.lngRange;s=t.mercatorXfromLng(h[0])*this.worldSize,r=(l=t.mercatorXfromLng(h[1])*this.worldSize)-s<c.x?c.x/(l-s):0}var p=this.point,d=Math.max(r||0,e||0);if(d)return this.center=this.unproject(new t.Point(r?(l+s)/2:p.x,e?(o+a)/2:p.y)),this.zoom+=this.scaleZoom(d),this._unmodified=u,void(this._constraining=!1);if(this.latRange){var m=p.y,g=c.y/2;m-g<a&&(i=a+g),m+g>o&&(i=o-g)}if(this.lngRange){var v=p.x,y=c.x/2;v-y<s&&(n=s+y),v+y>l&&(n=l-y)}void 0===n&&void 0===i||(this.center=this.unproject(new t.Point(void 0!==n?n:p.x,void 0!==i?i:p.y))),this._unmodified=u,this._constraining=!1}},Mn.prototype._calcMatrices=function(){if(this.height){var e=this._fov/2,r=this.centerOffset;this.cameraToCenterDistance=.5/Math.tan(e)*this.height;var n=Math.PI/2+this._pitch,i=this._fov*(.5+r.y/this.height),a=Math.sin(i)*this.cameraToCenterDistance/Math.sin(t.clamp(Math.PI-n-i,.01,Math.PI-.01)),o=this.point,s=o.x,l=o.y,c=1.01*(Math.cos(Math.PI/2-this._pitch)*a+this.cameraToCenterDistance),u=this.height/50,f=new Float64Array(16);t.perspective(f,this._fov,this.width/this.height,u,c),f[8]=2*-r.x/this.width,f[9]=2*r.y/this.height,t.scale(f,f,[1,-1,1]),t.translate(f,f,[0,0,-this.cameraToCenterDistance]),t.rotateX(f,f,this._pitch),t.rotateZ(f,f,this.angle),t.translate(f,f,[-s,-l,0]),this.mercatorMatrix=t.scale([],f,[this.worldSize,this.worldSize,this.worldSize]),t.scale(f,f,[1,1,t.mercatorZfromAltitude(1,this.center.lat)*this.worldSize,1]),this.projMatrix=f,this.invProjMatrix=t.invert([],this.projMatrix);var h=this.width%2/2,p=this.height%2/2,d=Math.cos(this.angle),m=Math.sin(this.angle),g=s-Math.round(s)+d*h+m*p,v=l-Math.round(l)+d*p+m*h,y=new Float64Array(f);if(t.translate(y,y,[g>.5?g-1:g,v>.5?v-1:v,0]),this.alignedProjMatrix=y,f=t.create(),t.scale(f,f,[this.width/2,-this.height/2,1]),t.translate(f,f,[1,-1,0]),this.labelPlaneMatrix=f,f=t.create(),t.scale(f,f,[1,-1,1]),t.translate(f,f,[-1,-1,0]),t.scale(f,f,[2/this.width,2/this.height,1]),this.glCoordMatrix=f,this.pixelMatrix=t.multiply(new Float64Array(16),this.labelPlaneMatrix,this.projMatrix),!(f=t.invert(new Float64Array(16),this.pixelMatrix)))throw new Error(\\\"failed to invert matrix\\\");this.pixelMatrixInverse=f,this._posMatrixCache={},this._alignedPosMatrixCache={}}},Mn.prototype.maxPitchScaleFactor=function(){if(!this.pixelMatrixInverse)return 1;var e=this.pointCoordinate(new t.Point(0,0)),r=[e.x*this.worldSize,e.y*this.worldSize,0,1];return t.transformMat4(r,r,this.pixelMatrix)[3]/this.cameraToCenterDistance},Mn.prototype.getCameraPoint=function(){var e=this._pitch,r=Math.tan(e)*(this.cameraToCenterDistance||1);return this.centerPoint.add(new t.Point(0,r))},Mn.prototype.getCameraQueryGeometry=function(e){var r=this.getCameraPoint();if(1===e.length)return[e[0],r];for(var n=r.x,i=r.y,a=r.x,o=r.y,s=0,l=e;s<l.length;s+=1){var c=l[s];n=Math.min(n,c.x),i=Math.min(i,c.y),a=Math.max(a,c.x),o=Math.max(o,c.y)}return[new t.Point(n,i),new t.Point(a,i),new t.Point(a,o),new t.Point(n,o),new t.Point(n,i)]},Object.defineProperties(Mn.prototype,An);var Sn=function(e){var r,n,i,a,o;this._hashName=e&&encodeURIComponent(e),t.bindAll([\\\"_getCurrentHash\\\",\\\"_onHashChange\\\",\\\"_updateHash\\\"],this),this._updateHash=(r=this._updateHashUnthrottled.bind(this),n=300,i=!1,a=null,o=function(){a=null,i&&(r(),a=setTimeout(o,n),i=!1)},function(){return i=!0,a||o(),a})};Sn.prototype.addTo=function(e){return this._map=e,t.window.addEventListener(\\\"hashchange\\\",this._onHashChange,!1),this._map.on(\\\"moveend\\\",this._updateHash),this},Sn.prototype.remove=function(){return t.window.removeEventListener(\\\"hashchange\\\",this._onHashChange,!1),this._map.off(\\\"moveend\\\",this._updateHash),clearTimeout(this._updateHash()),delete this._map,this},Sn.prototype.getHashString=function(e){var r=this._map.getCenter(),n=Math.round(100*this._map.getZoom())/100,i=Math.ceil((n*Math.LN2+Math.log(512/360/.5))/Math.LN10),a=Math.pow(10,i),o=Math.round(r.lng*a)/a,s=Math.round(r.lat*a)/a,l=this._map.getBearing(),c=this._map.getPitch(),u=\\\"\\\";if(u+=e?\\\"/\\\"+o+\\\"/\\\"+s+\\\"/\\\"+n:n+\\\"/\\\"+s+\\\"/\\\"+o,(l||c)&&(u+=\\\"/\\\"+Math.round(10*l)/10),c&&(u+=\\\"/\\\"+Math.round(c)),this._hashName){var f=this._hashName,h=!1,p=t.window.location.hash.slice(1).split(\\\"&\\\").map((function(t){var e=t.split(\\\"=\\\")[0];return e===f?(h=!0,e+\\\"=\\\"+u):t})).filter((function(t){return t}));return h||p.push(f+\\\"=\\\"+u),\\\"#\\\"+p.join(\\\"&\\\")}return\\\"#\\\"+u},Sn.prototype._getCurrentHash=function(){var e,r=this,n=t.window.location.hash.replace(\\\"#\\\",\\\"\\\");return this._hashName?(n.split(\\\"&\\\").map((function(t){return t.split(\\\"=\\\")})).forEach((function(t){t[0]===r._hashName&&(e=t)})),(e&&e[1]||\\\"\\\").split(\\\"/\\\")):n.split(\\\"/\\\")},Sn.prototype._onHashChange=function(){var t=this._getCurrentHash();if(t.length>=3&&!t.some((function(t){return isNaN(t)}))){var e=this._map.dragRotate.isEnabled()&&this._map.touchZoomRotate.isEnabled()?+(t[3]||0):this._map.getBearing();return this._map.jumpTo({center:[+t[2],+t[1]],zoom:+t[0],bearing:e,pitch:+(t[4]||0)}),!0}return!1},Sn.prototype._updateHashUnthrottled=function(){var e=this.getHashString();try{t.window.history.replaceState(t.window.history.state,\\\"\\\",e)}catch(t){}};var En={linearity:.3,easing:t.bezier(0,0,.3,1)},Ln=t.extend({deceleration:2500,maxSpeed:1400},En),Cn=t.extend({deceleration:20,maxSpeed:1400},En),Pn=t.extend({deceleration:1e3,maxSpeed:360},En),In=t.extend({deceleration:1e3,maxSpeed:90},En),On=function(t){this._map=t,this.clear()};function zn(t,e){(!t.duration||t.duration<e.duration)&&(t.duration=e.duration,t.easing=e.easing)}function Dn(e,r,n){var i=n.maxSpeed,a=n.linearity,o=n.deceleration,s=t.clamp(e*a/(r/1e3),-i,i),l=Math.abs(s)/(o*a);return{easing:n.easing,duration:1e3*l,amount:s*(l/2)}}On.prototype.clear=function(){this._inertiaBuffer=[]},On.prototype.record=function(e){this._drainInertiaBuffer(),this._inertiaBuffer.push({time:t.browser.now(),settings:e})},On.prototype._drainInertiaBuffer=function(){for(var e=this._inertiaBuffer,r=t.browser.now();e.length>0&&r-e[0].time>160;)e.shift()},On.prototype._onMoveEnd=function(e){if(this._drainInertiaBuffer(),!(this._inertiaBuffer.length<2)){for(var r={zoom:0,bearing:0,pitch:0,pan:new t.Point(0,0),pinchAround:void 0,around:void 0},n=0,i=this._inertiaBuffer;n<i.length;n+=1){var a=i[n].settings;r.zoom+=a.zoomDelta||0,r.bearing+=a.bearingDelta||0,r.pitch+=a.pitchDelta||0,a.panDelta&&r.pan._add(a.panDelta),a.around&&(r.around=a.around),a.pinchAround&&(r.pinchAround=a.pinchAround)}var o=this._inertiaBuffer[this._inertiaBuffer.length-1].time-this._inertiaBuffer[0].time,s={};if(r.pan.mag()){var l=Dn(r.pan.mag(),o,t.extend({},Ln,e||{}));s.offset=r.pan.mult(l.amount/r.pan.mag()),s.center=this._map.transform.center,zn(s,l)}if(r.zoom){var c=Dn(r.zoom,o,Cn);s.zoom=this._map.transform.zoom+c.amount,zn(s,c)}if(r.bearing){var u=Dn(r.bearing,o,Pn);s.bearing=this._map.transform.bearing+t.clamp(u.amount,-179,179),zn(s,u)}if(r.pitch){var f=Dn(r.pitch,o,In);s.pitch=this._map.transform.pitch+f.amount,zn(s,f)}if(s.zoom||s.bearing){var h=void 0===r.pinchAround?r.around:r.pinchAround;s.around=h?this._map.unproject(h):this._map.getCenter()}return this.clear(),t.extend(s,{noMoveStart:!0})}};var Rn=function(e){function n(n,i,a,o){void 0===o&&(o={});var s=r.mousePos(i.getCanvasContainer(),a),l=i.unproject(s);e.call(this,n,t.extend({point:s,lngLat:l,originalEvent:a},o)),this._defaultPrevented=!1,this.target=i}e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n;var i={defaultPrevented:{configurable:!0}};return n.prototype.preventDefault=function(){this._defaultPrevented=!0},i.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(n.prototype,i),n}(t.Event),Fn=function(e){function n(n,i,a){var o=\\\"touchend\\\"===n?a.changedTouches:a.touches,s=r.touchPos(i.getCanvasContainer(),o),l=s.map((function(t){return i.unproject(t)})),c=s.reduce((function(t,e,r,n){return t.add(e.div(n.length))}),new t.Point(0,0)),u=i.unproject(c);e.call(this,n,{points:s,point:c,lngLats:l,lngLat:u,originalEvent:a}),this._defaultPrevented=!1}e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n;var i={defaultPrevented:{configurable:!0}};return n.prototype.preventDefault=function(){this._defaultPrevented=!0},i.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(n.prototype,i),n}(t.Event),Bn=function(t){function e(e,r,n){t.call(this,e,{originalEvent:n}),this._defaultPrevented=!1}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={defaultPrevented:{configurable:!0}};return e.prototype.preventDefault=function(){this._defaultPrevented=!0},r.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(e.prototype,r),e}(t.Event),Nn=function(t,e){this._map=t,this._clickTolerance=e.clickTolerance};Nn.prototype.reset=function(){delete this._mousedownPos},Nn.prototype.wheel=function(t){return this._firePreventable(new Bn(t.type,this._map,t))},Nn.prototype.mousedown=function(t,e){return this._mousedownPos=e,this._firePreventable(new Rn(t.type,this._map,t))},Nn.prototype.mouseup=function(t){this._map.fire(new Rn(t.type,this._map,t))},Nn.prototype.click=function(t,e){this._mousedownPos&&this._mousedownPos.dist(e)>=this._clickTolerance||this._map.fire(new Rn(t.type,this._map,t))},Nn.prototype.dblclick=function(t){return this._firePreventable(new Rn(t.type,this._map,t))},Nn.prototype.mouseover=function(t){this._map.fire(new Rn(t.type,this._map,t))},Nn.prototype.mouseout=function(t){this._map.fire(new Rn(t.type,this._map,t))},Nn.prototype.touchstart=function(t){return this._firePreventable(new Fn(t.type,this._map,t))},Nn.prototype.touchmove=function(t){this._map.fire(new Fn(t.type,this._map,t))},Nn.prototype.touchend=function(t){this._map.fire(new Fn(t.type,this._map,t))},Nn.prototype.touchcancel=function(t){this._map.fire(new Fn(t.type,this._map,t))},Nn.prototype._firePreventable=function(t){if(this._map.fire(t),t.defaultPrevented)return{}},Nn.prototype.isEnabled=function(){return!0},Nn.prototype.isActive=function(){return!1},Nn.prototype.enable=function(){},Nn.prototype.disable=function(){};var jn=function(t){this._map=t};jn.prototype.reset=function(){this._delayContextMenu=!1,delete this._contextMenuEvent},jn.prototype.mousemove=function(t){this._map.fire(new Rn(t.type,this._map,t))},jn.prototype.mousedown=function(){this._delayContextMenu=!0},jn.prototype.mouseup=function(){this._delayContextMenu=!1,this._contextMenuEvent&&(this._map.fire(new Rn(\\\"contextmenu\\\",this._map,this._contextMenuEvent)),delete this._contextMenuEvent)},jn.prototype.contextmenu=function(t){this._delayContextMenu?this._contextMenuEvent=t:this._map.fire(new Rn(t.type,this._map,t)),this._map.listens(\\\"contextmenu\\\")&&t.preventDefault()},jn.prototype.isEnabled=function(){return!0},jn.prototype.isActive=function(){return!1},jn.prototype.enable=function(){},jn.prototype.disable=function(){};var Un=function(t,e){this._map=t,this._el=t.getCanvasContainer(),this._container=t.getContainer(),this._clickTolerance=e.clickTolerance||1};function Vn(t,e){for(var r={},n=0;n<t.length;n++)r[t[n].identifier]=e[n];return r}Un.prototype.isEnabled=function(){return!!this._enabled},Un.prototype.isActive=function(){return!!this._active},Un.prototype.enable=function(){this.isEnabled()||(this._enabled=!0)},Un.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},Un.prototype.mousedown=function(t,e){this.isEnabled()&&t.shiftKey&&0===t.button&&(r.disableDrag(),this._startPos=this._lastPos=e,this._active=!0)},Un.prototype.mousemoveWindow=function(t,e){if(this._active){var n=e;if(!(this._lastPos.equals(n)||!this._box&&n.dist(this._startPos)<this._clickTolerance)){var i=this._startPos;this._lastPos=n,this._box||(this._box=r.create(\\\"div\\\",\\\"mapboxgl-boxzoom\\\",this._container),this._container.classList.add(\\\"mapboxgl-crosshair\\\"),this._fireEvent(\\\"boxzoomstart\\\",t));var a=Math.min(i.x,n.x),o=Math.max(i.x,n.x),s=Math.min(i.y,n.y),l=Math.max(i.y,n.y);r.setTransform(this._box,\\\"translate(\\\"+a+\\\"px,\\\"+s+\\\"px)\\\"),this._box.style.width=o-a+\\\"px\\\",this._box.style.height=l-s+\\\"px\\\"}}},Un.prototype.mouseupWindow=function(e,n){var i=this;if(this._active&&0===e.button){var a=this._startPos,o=n;if(this.reset(),r.suppressClick(),a.x!==o.x||a.y!==o.y)return this._map.fire(new t.Event(\\\"boxzoomend\\\",{originalEvent:e})),{cameraAnimation:function(t){return t.fitScreenCoordinates(a,o,i._map.getBearing(),{linear:!0})}};this._fireEvent(\\\"boxzoomcancel\\\",e)}},Un.prototype.keydown=function(t){this._active&&27===t.keyCode&&(this.reset(),this._fireEvent(\\\"boxzoomcancel\\\",t))},Un.prototype.reset=function(){this._active=!1,this._container.classList.remove(\\\"mapboxgl-crosshair\\\"),this._box&&(r.remove(this._box),this._box=null),r.enableDrag(),delete this._startPos,delete this._lastPos},Un.prototype._fireEvent=function(e,r){return this._map.fire(new t.Event(e,{originalEvent:r}))};var qn=function(t){this.reset(),this.numTouches=t.numTouches};qn.prototype.reset=function(){delete this.centroid,delete this.startTime,delete this.touches,this.aborted=!1},qn.prototype.touchstart=function(e,r,n){(this.centroid||n.length>this.numTouches)&&(this.aborted=!0),this.aborted||(void 0===this.startTime&&(this.startTime=e.timeStamp),n.length===this.numTouches&&(this.centroid=function(e){for(var r=new t.Point(0,0),n=0,i=e;n<i.length;n+=1){var a=i[n];r._add(a)}return r.div(e.length)}(r),this.touches=Vn(n,r)))},qn.prototype.touchmove=function(t,e,r){if(!this.aborted&&this.centroid){var n=Vn(r,e);for(var i in this.touches){var a=this.touches[i],o=n[i];(!o||o.dist(a)>30)&&(this.aborted=!0)}}},qn.prototype.touchend=function(t,e,r){if((!this.centroid||t.timeStamp-this.startTime>500)&&(this.aborted=!0),0===r.length){var n=!this.aborted&&this.centroid;if(this.reset(),n)return n}};var Hn=function(t){this.singleTap=new qn(t),this.numTaps=t.numTaps,this.reset()};Hn.prototype.reset=function(){this.lastTime=1/0,delete this.lastTap,this.count=0,this.singleTap.reset()},Hn.prototype.touchstart=function(t,e,r){this.singleTap.touchstart(t,e,r)},Hn.prototype.touchmove=function(t,e,r){this.singleTap.touchmove(t,e,r)},Hn.prototype.touchend=function(t,e,r){var n=this.singleTap.touchend(t,e,r);if(n){var i=t.timeStamp-this.lastTime<500,a=!this.lastTap||this.lastTap.dist(n)<30;if(i&&a||this.reset(),this.count++,this.lastTime=t.timeStamp,this.lastTap=n,this.count===this.numTaps)return this.reset(),n}};var Gn=function(){this._zoomIn=new Hn({numTouches:1,numTaps:2}),this._zoomOut=new Hn({numTouches:2,numTaps:1}),this.reset()};Gn.prototype.reset=function(){this._active=!1,this._zoomIn.reset(),this._zoomOut.reset()},Gn.prototype.touchstart=function(t,e,r){this._zoomIn.touchstart(t,e,r),this._zoomOut.touchstart(t,e,r)},Gn.prototype.touchmove=function(t,e,r){this._zoomIn.touchmove(t,e,r),this._zoomOut.touchmove(t,e,r)},Gn.prototype.touchend=function(t,e,r){var n=this,i=this._zoomIn.touchend(t,e,r),a=this._zoomOut.touchend(t,e,r);return i?(this._active=!0,t.preventDefault(),setTimeout((function(){return n.reset()}),0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()+1,around:e.unproject(i)},{originalEvent:t})}}):a?(this._active=!0,t.preventDefault(),setTimeout((function(){return n.reset()}),0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()-1,around:e.unproject(a)},{originalEvent:t})}}):void 0},Gn.prototype.touchcancel=function(){this.reset()},Gn.prototype.enable=function(){this._enabled=!0},Gn.prototype.disable=function(){this._enabled=!1,this.reset()},Gn.prototype.isEnabled=function(){return this._enabled},Gn.prototype.isActive=function(){return this._active};var Yn=function(t){this.reset(),this._clickTolerance=t.clickTolerance||1};Yn.prototype.reset=function(){this._active=!1,this._moved=!1,delete this._lastPoint,delete this._eventButton},Yn.prototype._correctButton=function(t,e){return!1},Yn.prototype._move=function(t,e){return{}},Yn.prototype.mousedown=function(t,e){if(!this._lastPoint){var n=r.mouseButton(t);this._correctButton(t,n)&&(this._lastPoint=e,this._eventButton=n)}},Yn.prototype.mousemoveWindow=function(t,e){var r=this._lastPoint;if(r&&(t.preventDefault(),this._moved||!(e.dist(r)<this._clickTolerance)))return this._moved=!0,this._lastPoint=e,this._move(r,e)},Yn.prototype.mouseupWindow=function(t){r.mouseButton(t)===this._eventButton&&(this._moved&&r.suppressClick(),this.reset())},Yn.prototype.enable=function(){this._enabled=!0},Yn.prototype.disable=function(){this._enabled=!1,this.reset()},Yn.prototype.isEnabled=function(){return this._enabled},Yn.prototype.isActive=function(){return this._active};var Wn=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.mousedown=function(e,r){t.prototype.mousedown.call(this,e,r),this._lastPoint&&(this._active=!0)},e.prototype._correctButton=function(t,e){return 0===e&&!t.ctrlKey},e.prototype._move=function(t,e){return{around:e,panDelta:e.sub(t)}},e}(Yn),Xn=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._correctButton=function(t,e){return 0===e&&t.ctrlKey||2===e},e.prototype._move=function(t,e){var r=.8*(e.x-t.x);if(r)return this._active=!0,{bearingDelta:r}},e.prototype.contextmenu=function(t){t.preventDefault()},e}(Yn),Zn=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._correctButton=function(t,e){return 0===e&&t.ctrlKey||2===e},e.prototype._move=function(t,e){var r=-.5*(e.y-t.y);if(r)return this._active=!0,{pitchDelta:r}},e.prototype.contextmenu=function(t){t.preventDefault()},e}(Yn),Jn=function(t){this._minTouches=1,this._clickTolerance=t.clickTolerance||1,this.reset()};Jn.prototype.reset=function(){this._active=!1,this._touches={},this._sum=new t.Point(0,0)},Jn.prototype.touchstart=function(t,e,r){return this._calculateTransform(t,e,r)},Jn.prototype.touchmove=function(t,e,r){if(this._active)return t.preventDefault(),this._calculateTransform(t,e,r)},Jn.prototype.touchend=function(t,e,r){this._calculateTransform(t,e,r),this._active&&r.length<this._minTouches&&this.reset()},Jn.prototype.touchcancel=function(){this.reset()},Jn.prototype._calculateTransform=function(e,r,n){n.length>0&&(this._active=!0);var i=Vn(n,r),a=new t.Point(0,0),o=new t.Point(0,0),s=0;for(var l in i){var c=i[l],u=this._touches[l];u&&(a._add(c),o._add(c.sub(u)),s++,i[l]=c)}if(this._touches=i,!(s<this._minTouches)&&o.mag()){var f=o.div(s);if(this._sum._add(f),!(this._sum.mag()<this._clickTolerance))return{around:a.div(s),panDelta:f}}},Jn.prototype.enable=function(){this._enabled=!0},Jn.prototype.disable=function(){this._enabled=!1,this.reset()},Jn.prototype.isEnabled=function(){return this._enabled},Jn.prototype.isActive=function(){return this._active};var Kn=function(){this.reset()};function Qn(t,e,r){for(var n=0;n<t.length;n++)if(t[n].identifier===r)return e[n]}Kn.prototype.reset=function(){this._active=!1,delete this._firstTwoTouches},Kn.prototype._start=function(t){},Kn.prototype._move=function(t,e,r){return{}},Kn.prototype.touchstart=function(t,e,r){this._firstTwoTouches||r.length<2||(this._firstTwoTouches=[r[0].identifier,r[1].identifier],this._start([e[0],e[1]]))},Kn.prototype.touchmove=function(t,e,r){if(this._firstTwoTouches){t.preventDefault();var n=this._firstTwoTouches,i=n[0],a=n[1],o=Qn(r,e,i),s=Qn(r,e,a);if(o&&s){var l=this._aroundCenter?null:o.add(s).div(2);return this._move([o,s],l,t)}}},Kn.prototype.touchend=function(t,e,n){if(this._firstTwoTouches){var i=this._firstTwoTouches,a=i[0],o=i[1],s=Qn(n,e,a),l=Qn(n,e,o);s&&l||(this._active&&r.suppressClick(),this.reset())}},Kn.prototype.touchcancel=function(){this.reset()},Kn.prototype.enable=function(t){this._enabled=!0,this._aroundCenter=!!t&&\\\"center\\\"===t.around},Kn.prototype.disable=function(){this._enabled=!1,this.reset()},Kn.prototype.isEnabled=function(){return this._enabled},Kn.prototype.isActive=function(){return this._active};function $n(t,e){return Math.log(t/e)/Math.LN2}var ti=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),delete this._distance,delete this._startDistance},e.prototype._start=function(t){this._startDistance=this._distance=t[0].dist(t[1])},e.prototype._move=function(t,e){var r=this._distance;if(this._distance=t[0].dist(t[1]),this._active||!(Math.abs($n(this._distance,this._startDistance))<.1))return this._active=!0,{zoomDelta:$n(this._distance,r),pinchAround:e}},e}(Kn);function ei(t,e){return 180*t.angleWith(e)/Math.PI}var ri=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),delete this._minDiameter,delete this._startVector,delete this._vector},e.prototype._start=function(t){this._startVector=this._vector=t[0].sub(t[1]),this._minDiameter=t[0].dist(t[1])},e.prototype._move=function(t,e){var r=this._vector;if(this._vector=t[0].sub(t[1]),this._active||!this._isBelowThreshold(this._vector))return this._active=!0,{bearingDelta:ei(this._vector,r),pinchAround:e}},e.prototype._isBelowThreshold=function(t){this._minDiameter=Math.min(this._minDiameter,t.mag());var e=25/(Math.PI*this._minDiameter)*360,r=ei(t,this._startVector);return Math.abs(r)<e},e}(Kn);function ni(t){return Math.abs(t.y)>Math.abs(t.x)}var ii=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),this._valid=void 0,delete this._firstMove,delete this._lastPoints},e.prototype._start=function(t){this._lastPoints=t,ni(t[0].sub(t[1]))&&(this._valid=!1)},e.prototype._move=function(t,e,r){var n=t[0].sub(this._lastPoints[0]),i=t[1].sub(this._lastPoints[1]);if(this._valid=this.gestureBeginsVertically(n,i,r.timeStamp),this._valid){this._lastPoints=t,this._active=!0;return{pitchDelta:-.5*((n.y+i.y)/2)}}},e.prototype.gestureBeginsVertically=function(t,e,r){if(void 0!==this._valid)return this._valid;var n=t.mag()>=2,i=e.mag()>=2;if(n||i){if(!n||!i)return void 0===this._firstMove&&(this._firstMove=r),r-this._firstMove<100&&void 0;var a=t.y>0==e.y>0;return ni(t)&&ni(e)&&a}},e}(Kn),ai={panStep:100,bearingStep:15,pitchStep:10},oi=function(){var t=ai;this._panStep=t.panStep,this._bearingStep=t.bearingStep,this._pitchStep=t.pitchStep};function si(t){return t*(2-t)}oi.prototype.reset=function(){this._active=!1},oi.prototype.keydown=function(t){var e=this;if(!(t.altKey||t.ctrlKey||t.metaKey)){var r=0,n=0,i=0,a=0,o=0;switch(t.keyCode){case 61:case 107:case 171:case 187:r=1;break;case 189:case 109:case 173:r=-1;break;case 37:t.shiftKey?n=-1:(t.preventDefault(),a=-1);break;case 39:t.shiftKey?n=1:(t.preventDefault(),a=1);break;case 38:t.shiftKey?i=1:(t.preventDefault(),o=-1);break;case 40:t.shiftKey?i=-1:(t.preventDefault(),o=1);break;default:return}return{cameraAnimation:function(s){var l=s.getZoom();s.easeTo({duration:300,easeId:\\\"keyboardHandler\\\",easing:si,zoom:r?Math.round(l)+r*(t.shiftKey?2:1):l,bearing:s.getBearing()+n*e._bearingStep,pitch:s.getPitch()+i*e._pitchStep,offset:[-a*e._panStep,-o*e._panStep],center:s.getCenter()},{originalEvent:t})}}}},oi.prototype.enable=function(){this._enabled=!0},oi.prototype.disable=function(){this._enabled=!1,this.reset()},oi.prototype.isEnabled=function(){return this._enabled},oi.prototype.isActive=function(){return this._active};var li=function(e,r){this._map=e,this._el=e.getCanvasContainer(),this._handler=r,this._delta=0,this._defaultZoomRate=.01,this._wheelZoomRate=1/450,t.bindAll([\\\"_onWheel\\\",\\\"_onTimeout\\\",\\\"_onScrollFrame\\\",\\\"_onScrollFinished\\\"],this)};li.prototype.setZoomRate=function(t){this._defaultZoomRate=t},li.prototype.setWheelZoomRate=function(t){this._wheelZoomRate=t},li.prototype.isEnabled=function(){return!!this._enabled},li.prototype.isActive=function(){return!!this._active||void 0!==this._finishTimeout},li.prototype.isZooming=function(){return!!this._zooming},li.prototype.enable=function(t){this.isEnabled()||(this._enabled=!0,this._aroundCenter=t&&\\\"center\\\"===t.around)},li.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},li.prototype.wheel=function(e){if(this.isEnabled()){var r=e.deltaMode===t.window.WheelEvent.DOM_DELTA_LINE?40*e.deltaY:e.deltaY,n=t.browser.now(),i=n-(this._lastWheelEventTime||0);this._lastWheelEventTime=n,0!==r&&r%4.000244140625==0?this._type=\\\"wheel\\\":0!==r&&Math.abs(r)<4?this._type=\\\"trackpad\\\":i>400?(this._type=null,this._lastValue=r,this._timeout=setTimeout(this._onTimeout,40,e)):this._type||(this._type=Math.abs(i*r)<200?\\\"trackpad\\\":\\\"wheel\\\",this._timeout&&(clearTimeout(this._timeout),this._timeout=null,r+=this._lastValue)),e.shiftKey&&r&&(r/=4),this._type&&(this._lastWheelEvent=e,this._delta-=r,this._active||this._start(e)),e.preventDefault()}},li.prototype._onTimeout=function(t){this._type=\\\"wheel\\\",this._delta-=this._lastValue,this._active||this._start(t)},li.prototype._start=function(e){if(this._delta){this._frameId&&(this._frameId=null),this._active=!0,this.isZooming()||(this._zooming=!0),this._finishTimeout&&(clearTimeout(this._finishTimeout),delete this._finishTimeout);var n=r.mousePos(this._el,e);this._around=t.LngLat.convert(this._aroundCenter?this._map.getCenter():this._map.unproject(n)),this._aroundPoint=this._map.transform.locationPoint(this._around),this._frameId||(this._frameId=!0,this._handler._triggerRenderFrame())}},li.prototype.renderFrame=function(){return this._onScrollFrame()},li.prototype._onScrollFrame=function(){var e=this;if(this._frameId&&(this._frameId=null,this.isActive())){var r=this._map.transform;if(0!==this._delta){var n=\\\"wheel\\\"===this._type&&Math.abs(this._delta)>4.000244140625?this._wheelZoomRate:this._defaultZoomRate,i=2/(1+Math.exp(-Math.abs(this._delta*n)));this._delta<0&&0!==i&&(i=1/i);var a=\\\"number\\\"==typeof this._targetZoom?r.zoomScale(this._targetZoom):r.scale;this._targetZoom=Math.min(r.maxZoom,Math.max(r.minZoom,r.scaleZoom(a*i))),\\\"wheel\\\"===this._type&&(this._startZoom=r.zoom,this._easing=this._smoothOutEasing(200)),this._delta=0}var o,s=\\\"number\\\"==typeof this._targetZoom?this._targetZoom:r.zoom,l=this._startZoom,c=this._easing,u=!1;if(\\\"wheel\\\"===this._type&&l&&c){var f=Math.min((t.browser.now()-this._lastWheelEventTime)/200,1),h=c(f);o=t.number(l,s,h),f<1?this._frameId||(this._frameId=!0):u=!0}else o=s,u=!0;return this._active=!0,u&&(this._active=!1,this._finishTimeout=setTimeout((function(){e._zooming=!1,e._handler._triggerRenderFrame(),delete e._targetZoom,delete e._finishTimeout}),200)),{noInertia:!0,needsRenderFrame:!u,zoomDelta:o-r.zoom,around:this._aroundPoint,originalEvent:this._lastWheelEvent}}},li.prototype._smoothOutEasing=function(e){var r=t.ease;if(this._prevEase){var n=this._prevEase,i=(t.browser.now()-n.start)/n.duration,a=n.easing(i+.01)-n.easing(i),o=.27/Math.sqrt(a*a+1e-4)*.01,s=Math.sqrt(.0729-o*o);r=t.bezier(o,s,.25,1)}return this._prevEase={start:t.browser.now(),duration:e,easing:r},r},li.prototype.reset=function(){this._active=!1};var ci=function(t,e){this._clickZoom=t,this._tapZoom=e};ci.prototype.enable=function(){this._clickZoom.enable(),this._tapZoom.enable()},ci.prototype.disable=function(){this._clickZoom.disable(),this._tapZoom.disable()},ci.prototype.isEnabled=function(){return this._clickZoom.isEnabled()&&this._tapZoom.isEnabled()},ci.prototype.isActive=function(){return this._clickZoom.isActive()||this._tapZoom.isActive()};var ui=function(){this.reset()};ui.prototype.reset=function(){this._active=!1},ui.prototype.dblclick=function(t,e){return t.preventDefault(),{cameraAnimation:function(r){r.easeTo({duration:300,zoom:r.getZoom()+(t.shiftKey?-1:1),around:r.unproject(e)},{originalEvent:t})}}},ui.prototype.enable=function(){this._enabled=!0},ui.prototype.disable=function(){this._enabled=!1,this.reset()},ui.prototype.isEnabled=function(){return this._enabled},ui.prototype.isActive=function(){return this._active};var fi=function(){this._tap=new Hn({numTouches:1,numTaps:1}),this.reset()};fi.prototype.reset=function(){this._active=!1,delete this._swipePoint,delete this._swipeTouch,delete this._tapTime,this._tap.reset()},fi.prototype.touchstart=function(t,e,r){this._swipePoint||(this._tapTime&&t.timeStamp-this._tapTime>500&&this.reset(),this._tapTime?r.length>0&&(this._swipePoint=e[0],this._swipeTouch=r[0].identifier):this._tap.touchstart(t,e,r))},fi.prototype.touchmove=function(t,e,r){if(this._tapTime){if(this._swipePoint){if(r[0].identifier!==this._swipeTouch)return;var n=e[0],i=n.y-this._swipePoint.y;return this._swipePoint=n,t.preventDefault(),this._active=!0,{zoomDelta:i/128}}}else this._tap.touchmove(t,e,r)},fi.prototype.touchend=function(t,e,r){this._tapTime?this._swipePoint&&0===r.length&&this.reset():this._tap.touchend(t,e,r)&&(this._tapTime=t.timeStamp)},fi.prototype.touchcancel=function(){this.reset()},fi.prototype.enable=function(){this._enabled=!0},fi.prototype.disable=function(){this._enabled=!1,this.reset()},fi.prototype.isEnabled=function(){return this._enabled},fi.prototype.isActive=function(){return this._active};var hi=function(t,e,r){this._el=t,this._mousePan=e,this._touchPan=r};hi.prototype.enable=function(t){this._inertiaOptions=t||{},this._mousePan.enable(),this._touchPan.enable(),this._el.classList.add(\\\"mapboxgl-touch-drag-pan\\\")},hi.prototype.disable=function(){this._mousePan.disable(),this._touchPan.disable(),this._el.classList.remove(\\\"mapboxgl-touch-drag-pan\\\")},hi.prototype.isEnabled=function(){return this._mousePan.isEnabled()&&this._touchPan.isEnabled()},hi.prototype.isActive=function(){return this._mousePan.isActive()||this._touchPan.isActive()};var pi=function(t,e,r){this._pitchWithRotate=t.pitchWithRotate,this._mouseRotate=e,this._mousePitch=r};pi.prototype.enable=function(){this._mouseRotate.enable(),this._pitchWithRotate&&this._mousePitch.enable()},pi.prototype.disable=function(){this._mouseRotate.disable(),this._mousePitch.disable()},pi.prototype.isEnabled=function(){return this._mouseRotate.isEnabled()&&(!this._pitchWithRotate||this._mousePitch.isEnabled())},pi.prototype.isActive=function(){return this._mouseRotate.isActive()||this._mousePitch.isActive()};var di=function(t,e,r,n){this._el=t,this._touchZoom=e,this._touchRotate=r,this._tapDragZoom=n,this._rotationDisabled=!1,this._enabled=!0};di.prototype.enable=function(t){this._touchZoom.enable(t),this._rotationDisabled||this._touchRotate.enable(t),this._tapDragZoom.enable(),this._el.classList.add(\\\"mapboxgl-touch-zoom-rotate\\\")},di.prototype.disable=function(){this._touchZoom.disable(),this._touchRotate.disable(),this._tapDragZoom.disable(),this._el.classList.remove(\\\"mapboxgl-touch-zoom-rotate\\\")},di.prototype.isEnabled=function(){return this._touchZoom.isEnabled()&&(this._rotationDisabled||this._touchRotate.isEnabled())&&this._tapDragZoom.isEnabled()},di.prototype.isActive=function(){return this._touchZoom.isActive()||this._touchRotate.isActive()||this._tapDragZoom.isActive()},di.prototype.disableRotation=function(){this._rotationDisabled=!0,this._touchRotate.disable()},di.prototype.enableRotation=function(){this._rotationDisabled=!1,this._touchZoom.isEnabled()&&this._touchRotate.enable()};var mi=function(t){return t.zoom||t.drag||t.pitch||t.rotate},gi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(t.Event);function vi(t){return t.panDelta&&t.panDelta.mag()||t.zoomDelta||t.bearingDelta||t.pitchDelta}var yi=function(e,n){this._map=e,this._el=this._map.getCanvasContainer(),this._handlers=[],this._handlersById={},this._changes=[],this._inertia=new On(e),this._bearingSnap=n.bearingSnap,this._previousActiveHandlers={},this._eventsInProgress={},this._addDefaultHandlers(n),t.bindAll([\\\"handleEvent\\\",\\\"handleWindowEvent\\\"],this);var i=this._el;this._listeners=[[i,\\\"touchstart\\\",{passive:!1}],[i,\\\"touchmove\\\",{passive:!1}],[i,\\\"touchend\\\",void 0],[i,\\\"touchcancel\\\",void 0],[i,\\\"mousedown\\\",void 0],[i,\\\"mousemove\\\",void 0],[i,\\\"mouseup\\\",void 0],[t.window.document,\\\"mousemove\\\",{capture:!0}],[t.window.document,\\\"mouseup\\\",void 0],[i,\\\"mouseover\\\",void 0],[i,\\\"mouseout\\\",void 0],[i,\\\"dblclick\\\",void 0],[i,\\\"click\\\",void 0],[i,\\\"keydown\\\",{capture:!1}],[i,\\\"keyup\\\",void 0],[i,\\\"wheel\\\",{passive:!1}],[i,\\\"contextmenu\\\",void 0],[t.window,\\\"blur\\\",void 0]];for(var a=0,o=this._listeners;a<o.length;a+=1){var s=o[a],l=s[0],c=s[1],u=s[2];r.addEventListener(l,c,l===t.window.document?this.handleWindowEvent:this.handleEvent,u)}};yi.prototype.destroy=function(){for(var e=0,n=this._listeners;e<n.length;e+=1){var i=n[e],a=i[0],o=i[1],s=i[2];r.removeEventListener(a,o,a===t.window.document?this.handleWindowEvent:this.handleEvent,s)}},yi.prototype._addDefaultHandlers=function(t){var e=this._map,r=e.getCanvasContainer();this._add(\\\"mapEvent\\\",new Nn(e,t));var n=e.boxZoom=new Un(e,t);this._add(\\\"boxZoom\\\",n);var i=new Gn,a=new ui;e.doubleClickZoom=new ci(a,i),this._add(\\\"tapZoom\\\",i),this._add(\\\"clickZoom\\\",a);var o=new fi;this._add(\\\"tapDragZoom\\\",o);var s=e.touchPitch=new ii;this._add(\\\"touchPitch\\\",s);var l=new Xn(t),c=new Zn(t);e.dragRotate=new pi(t,l,c),this._add(\\\"mouseRotate\\\",l,[\\\"mousePitch\\\"]),this._add(\\\"mousePitch\\\",c,[\\\"mouseRotate\\\"]);var u=new Wn(t),f=new Jn(t);e.dragPan=new hi(r,u,f),this._add(\\\"mousePan\\\",u),this._add(\\\"touchPan\\\",f,[\\\"touchZoom\\\",\\\"touchRotate\\\"]);var h=new ri,p=new ti;e.touchZoomRotate=new di(r,p,h,o),this._add(\\\"touchRotate\\\",h,[\\\"touchPan\\\",\\\"touchZoom\\\"]),this._add(\\\"touchZoom\\\",p,[\\\"touchPan\\\",\\\"touchRotate\\\"]);var d=e.scrollZoom=new li(e,this);this._add(\\\"scrollZoom\\\",d,[\\\"mousePan\\\"]);var m=e.keyboard=new oi;this._add(\\\"keyboard\\\",m),this._add(\\\"blockableMapEvent\\\",new jn(e));for(var g=0,v=[\\\"boxZoom\\\",\\\"doubleClickZoom\\\",\\\"tapDragZoom\\\",\\\"touchPitch\\\",\\\"dragRotate\\\",\\\"dragPan\\\",\\\"touchZoomRotate\\\",\\\"scrollZoom\\\",\\\"keyboard\\\"];g<v.length;g+=1){var y=v[g];t.interactive&&t[y]&&e[y].enable(t[y])}},yi.prototype._add=function(t,e,r){this._handlers.push({handlerName:t,handler:e,allowed:r}),this._handlersById[t]=e},yi.prototype.stop=function(){if(!this._updatingCamera){for(var t=0,e=this._handlers;t<e.length;t+=1){e[t].handler.reset()}this._inertia.clear(),this._fireEvents({},{}),this._changes=[]}},yi.prototype.isActive=function(){for(var t=0,e=this._handlers;t<e.length;t+=1){if(e[t].handler.isActive())return!0}return!1},yi.prototype.isZooming=function(){return!!this._eventsInProgress.zoom||this._map.scrollZoom.isZooming()},yi.prototype.isRotating=function(){return!!this._eventsInProgress.rotate},yi.prototype.isMoving=function(){return Boolean(mi(this._eventsInProgress))||this.isZooming()},yi.prototype._blockedByActive=function(t,e,r){for(var n in t)if(n!==r&&(!e||e.indexOf(n)<0))return!0;return!1},yi.prototype.handleWindowEvent=function(t){this.handleEvent(t,t.type+\\\"Window\\\")},yi.prototype._getMapTouches=function(t){for(var e=[],r=0,n=t;r<n.length;r+=1){var i=n[r],a=i.target;this._el.contains(a)&&e.push(i)}return e},yi.prototype.handleEvent=function(t,e){if(\\\"blur\\\"!==t.type){this._updatingCamera=!0;for(var n=\\\"renderFrame\\\"===t.type?void 0:t,i={needsRenderFrame:!1},a={},o={},s=t.touches?this._getMapTouches(t.touches):void 0,l=s?r.touchPos(this._el,s):r.mousePos(this._el,t),c=0,u=this._handlers;c<u.length;c+=1){var f=u[c],h=f.handlerName,p=f.handler,d=f.allowed;if(p.isEnabled()){var m=void 0;this._blockedByActive(o,d,h)?p.reset():p[e||t.type]&&(m=p[e||t.type](t,l,s),this.mergeHandlerResult(i,a,m,h,n),m&&m.needsRenderFrame&&this._triggerRenderFrame()),(m||p.isActive())&&(o[h]=p)}}var g={};for(var v in this._previousActiveHandlers)o[v]||(g[v]=n);this._previousActiveHandlers=o,(Object.keys(g).length||vi(i))&&(this._changes.push([i,a,g]),this._triggerRenderFrame()),(Object.keys(o).length||vi(i))&&this._map._stop(!0),this._updatingCamera=!1;var y=i.cameraAnimation;y&&(this._inertia.clear(),this._fireEvents({},{}),this._changes=[],y(this._map))}else this.stop()},yi.prototype.mergeHandlerResult=function(e,r,n,i,a){if(n){t.extend(e,n);var o={handlerName:i,originalEvent:n.originalEvent||a};void 0!==n.zoomDelta&&(r.zoom=o),void 0!==n.panDelta&&(r.drag=o),void 0!==n.pitchDelta&&(r.pitch=o),void 0!==n.bearingDelta&&(r.rotate=o)}},yi.prototype._applyChanges=function(){for(var e={},r={},n={},i=0,a=this._changes;i<a.length;i+=1){var o=a[i],s=o[0],l=o[1],c=o[2];s.panDelta&&(e.panDelta=(e.panDelta||new t.Point(0,0))._add(s.panDelta)),s.zoomDelta&&(e.zoomDelta=(e.zoomDelta||0)+s.zoomDelta),s.bearingDelta&&(e.bearingDelta=(e.bearingDelta||0)+s.bearingDelta),s.pitchDelta&&(e.pitchDelta=(e.pitchDelta||0)+s.pitchDelta),void 0!==s.around&&(e.around=s.around),void 0!==s.pinchAround&&(e.pinchAround=s.pinchAround),s.noInertia&&(e.noInertia=s.noInertia),t.extend(r,l),t.extend(n,c)}this._updateMapTransform(e,r,n),this._changes=[]},yi.prototype._updateMapTransform=function(t,e,r){var n=this._map,i=n.transform;if(!vi(t))return this._fireEvents(e,r);var a=t.panDelta,o=t.zoomDelta,s=t.bearingDelta,l=t.pitchDelta,c=t.around,u=t.pinchAround;void 0!==u&&(c=u),n._stop(!0),c=c||n.transform.centerPoint;var f=i.pointLocation(a?c.sub(a):c);s&&(i.bearing+=s),l&&(i.pitch+=l),o&&(i.zoom+=o),i.setLocationAtPoint(f,c),this._map._update(),t.noInertia||this._inertia.record(t),this._fireEvents(e,r)},yi.prototype._fireEvents=function(e,r){var n=this,i=mi(this._eventsInProgress),a=mi(e),o={};for(var s in e){var l=e[s].originalEvent;this._eventsInProgress[s]||(o[s+\\\"start\\\"]=l),this._eventsInProgress[s]=e[s]}for(var c in!i&&a&&this._fireEvent(\\\"movestart\\\",a.originalEvent),o)this._fireEvent(c,o[c]);for(var u in e.rotate&&(this._bearingChanged=!0),a&&this._fireEvent(\\\"move\\\",a.originalEvent),e){var f=e[u].originalEvent;this._fireEvent(u,f)}var h,p={};for(var d in this._eventsInProgress){var m=this._eventsInProgress[d],g=m.handlerName,v=m.originalEvent;this._handlersById[g].isActive()||(delete this._eventsInProgress[d],h=r[g]||v,p[d+\\\"end\\\"]=h)}for(var y in p)this._fireEvent(y,p[y]);var x=mi(this._eventsInProgress);if((i||a)&&!x){this._updatingCamera=!0;var b=this._inertia._onMoveEnd(this._map.dragPan._inertiaOptions),_=function(t){return 0!==t&&-n._bearingSnap<t&&t<n._bearingSnap};b?(_(b.bearing||this._map.getBearing())&&(b.bearing=0),this._map.easeTo(b,{originalEvent:h})):(this._map.fire(new t.Event(\\\"moveend\\\",{originalEvent:h})),_(this._map.getBearing())&&this._map.resetNorth()),this._bearingChanged=!1,this._updatingCamera=!1}},yi.prototype._fireEvent=function(e,r){this._map.fire(new t.Event(e,r?{originalEvent:r}:{}))},yi.prototype._triggerRenderFrame=function(){var t=this;void 0===this._frameId&&(this._frameId=this._map._requestRenderFrame((function(e){delete t._frameId,t.handleEvent(new gi(\\\"renderFrame\\\",{timeStamp:e})),t._applyChanges()})))};var xi=function(e){function r(r,n){e.call(this),this._moving=!1,this._zooming=!1,this.transform=r,this._bearingSnap=n.bearingSnap,t.bindAll([\\\"_renderFrameCallback\\\"],this)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getCenter=function(){return new t.LngLat(this.transform.center.lng,this.transform.center.lat)},r.prototype.setCenter=function(t,e){return this.jumpTo({center:t},e)},r.prototype.panBy=function(e,r,n){return e=t.Point.convert(e).mult(-1),this.panTo(this.transform.center,t.extend({offset:e},r),n)},r.prototype.panTo=function(e,r,n){return this.easeTo(t.extend({center:e},r),n)},r.prototype.getZoom=function(){return this.transform.zoom},r.prototype.setZoom=function(t,e){return this.jumpTo({zoom:t},e),this},r.prototype.zoomTo=function(e,r,n){return this.easeTo(t.extend({zoom:e},r),n)},r.prototype.zoomIn=function(t,e){return this.zoomTo(this.getZoom()+1,t,e),this},r.prototype.zoomOut=function(t,e){return this.zoomTo(this.getZoom()-1,t,e),this},r.prototype.getBearing=function(){return this.transform.bearing},r.prototype.setBearing=function(t,e){return this.jumpTo({bearing:t},e),this},r.prototype.getPadding=function(){return this.transform.padding},r.prototype.setPadding=function(t,e){return this.jumpTo({padding:t},e),this},r.prototype.rotateTo=function(e,r,n){return this.easeTo(t.extend({bearing:e},r),n)},r.prototype.resetNorth=function(e,r){return this.rotateTo(0,t.extend({duration:1e3},e),r),this},r.prototype.resetNorthPitch=function(e,r){return this.easeTo(t.extend({bearing:0,pitch:0,duration:1e3},e),r),this},r.prototype.snapToNorth=function(t,e){return Math.abs(this.getBearing())<this._bearingSnap?this.resetNorth(t,e):this},r.prototype.getPitch=function(){return this.transform.pitch},r.prototype.setPitch=function(t,e){return this.jumpTo({pitch:t},e),this},r.prototype.cameraForBounds=function(e,r){return e=t.LngLatBounds.convert(e),this._cameraForBoxAndBearing(e.getNorthWest(),e.getSouthEast(),0,r)},r.prototype._cameraForBoxAndBearing=function(e,r,n,i){var a={top:0,bottom:0,right:0,left:0};if(\\\"number\\\"==typeof(i=t.extend({padding:a,offset:[0,0],maxZoom:this.transform.maxZoom},i)).padding){var o=i.padding;i.padding={top:o,bottom:o,right:o,left:o}}i.padding=t.extend(a,i.padding);var s=this.transform,l=s.padding,c=s.project(t.LngLat.convert(e)),u=s.project(t.LngLat.convert(r)),f=c.rotate(-n*Math.PI/180),h=u.rotate(-n*Math.PI/180),p=new t.Point(Math.max(f.x,h.x),Math.max(f.y,h.y)),d=new t.Point(Math.min(f.x,h.x),Math.min(f.y,h.y)),m=p.sub(d),g=(s.width-(l.left+l.right+i.padding.left+i.padding.right))/m.x,v=(s.height-(l.top+l.bottom+i.padding.top+i.padding.bottom))/m.y;if(!(v<0||g<0)){var y=Math.min(s.scaleZoom(s.scale*Math.min(g,v)),i.maxZoom),x=t.Point.convert(i.offset),b=(i.padding.left-i.padding.right)/2,_=(i.padding.top-i.padding.bottom)/2,w=new t.Point(x.x+b,x.y+_).mult(s.scale/s.zoomScale(y));return{center:s.unproject(c.add(u).div(2).sub(w)),zoom:y,bearing:n}}t.warnOnce(\\\"Map cannot fit within canvas with the given bounds, padding, and/or offset.\\\")},r.prototype.fitBounds=function(t,e,r){return this._fitInternal(this.cameraForBounds(t,e),e,r)},r.prototype.fitScreenCoordinates=function(e,r,n,i,a){return this._fitInternal(this._cameraForBoxAndBearing(this.transform.pointLocation(t.Point.convert(e)),this.transform.pointLocation(t.Point.convert(r)),n,i),i,a)},r.prototype._fitInternal=function(e,r,n){return e?(delete(r=t.extend(e,r)).padding,r.linear?this.easeTo(r,n):this.flyTo(r,n)):this},r.prototype.jumpTo=function(e,r){this.stop();var n=this.transform,i=!1,a=!1,o=!1;return\\\"zoom\\\"in e&&n.zoom!==+e.zoom&&(i=!0,n.zoom=+e.zoom),void 0!==e.center&&(n.center=t.LngLat.convert(e.center)),\\\"bearing\\\"in e&&n.bearing!==+e.bearing&&(a=!0,n.bearing=+e.bearing),\\\"pitch\\\"in e&&n.pitch!==+e.pitch&&(o=!0,n.pitch=+e.pitch),null==e.padding||n.isPaddingEqual(e.padding)||(n.padding=e.padding),this.fire(new t.Event(\\\"movestart\\\",r)).fire(new t.Event(\\\"move\\\",r)),i&&this.fire(new t.Event(\\\"zoomstart\\\",r)).fire(new t.Event(\\\"zoom\\\",r)).fire(new t.Event(\\\"zoomend\\\",r)),a&&this.fire(new t.Event(\\\"rotatestart\\\",r)).fire(new t.Event(\\\"rotate\\\",r)).fire(new t.Event(\\\"rotateend\\\",r)),o&&this.fire(new t.Event(\\\"pitchstart\\\",r)).fire(new t.Event(\\\"pitch\\\",r)).fire(new t.Event(\\\"pitchend\\\",r)),this.fire(new t.Event(\\\"moveend\\\",r))},r.prototype.easeTo=function(e,r){var n=this;this._stop(!1,e.easeId),(!1===(e=t.extend({offset:[0,0],duration:500,easing:t.ease},e)).animate||!e.essential&&t.browser.prefersReducedMotion)&&(e.duration=0);var i=this.transform,a=this.getZoom(),o=this.getBearing(),s=this.getPitch(),l=this.getPadding(),c=\\\"zoom\\\"in e?+e.zoom:a,u=\\\"bearing\\\"in e?this._normalizeBearing(e.bearing,o):o,f=\\\"pitch\\\"in e?+e.pitch:s,h=\\\"padding\\\"in e?e.padding:i.padding,p=t.Point.convert(e.offset),d=i.centerPoint.add(p),m=i.pointLocation(d),g=t.LngLat.convert(e.center||m);this._normalizeCenter(g);var v,y,x=i.project(m),b=i.project(g).sub(x),_=i.zoomScale(c-a);e.around&&(v=t.LngLat.convert(e.around),y=i.locationPoint(v));var w={moving:this._moving,zooming:this._zooming,rotating:this._rotating,pitching:this._pitching};return this._zooming=this._zooming||c!==a,this._rotating=this._rotating||o!==u,this._pitching=this._pitching||f!==s,this._padding=!i.isPaddingEqual(h),this._easeId=e.easeId,this._prepareEase(r,e.noMoveStart,w),clearTimeout(this._easeEndTimeoutID),this._ease((function(e){if(n._zooming&&(i.zoom=t.number(a,c,e)),n._rotating&&(i.bearing=t.number(o,u,e)),n._pitching&&(i.pitch=t.number(s,f,e)),n._padding&&(i.interpolatePadding(l,h,e),d=i.centerPoint.add(p)),v)i.setLocationAtPoint(v,y);else{var m=i.zoomScale(i.zoom-a),g=c>a?Math.min(2,_):Math.max(.5,_),w=Math.pow(g,1-e),T=i.unproject(x.add(b.mult(e*w)).mult(m));i.setLocationAtPoint(i.renderWorldCopies?T.wrap():T,d)}n._fireMoveEvents(r)}),(function(t){n._afterEase(r,t)}),e),this},r.prototype._prepareEase=function(e,r,n){void 0===n&&(n={}),this._moving=!0,r||n.moving||this.fire(new t.Event(\\\"movestart\\\",e)),this._zooming&&!n.zooming&&this.fire(new t.Event(\\\"zoomstart\\\",e)),this._rotating&&!n.rotating&&this.fire(new t.Event(\\\"rotatestart\\\",e)),this._pitching&&!n.pitching&&this.fire(new t.Event(\\\"pitchstart\\\",e))},r.prototype._fireMoveEvents=function(e){this.fire(new t.Event(\\\"move\\\",e)),this._zooming&&this.fire(new t.Event(\\\"zoom\\\",e)),this._rotating&&this.fire(new t.Event(\\\"rotate\\\",e)),this._pitching&&this.fire(new t.Event(\\\"pitch\\\",e))},r.prototype._afterEase=function(e,r){if(!this._easeId||!r||this._easeId!==r){delete this._easeId;var n=this._zooming,i=this._rotating,a=this._pitching;this._moving=!1,this._zooming=!1,this._rotating=!1,this._pitching=!1,this._padding=!1,n&&this.fire(new t.Event(\\\"zoomend\\\",e)),i&&this.fire(new t.Event(\\\"rotateend\\\",e)),a&&this.fire(new t.Event(\\\"pitchend\\\",e)),this.fire(new t.Event(\\\"moveend\\\",e))}},r.prototype.flyTo=function(e,r){var n=this;if(!e.essential&&t.browser.prefersReducedMotion){var i=t.pick(e,[\\\"center\\\",\\\"zoom\\\",\\\"bearing\\\",\\\"pitch\\\",\\\"around\\\"]);return this.jumpTo(i,r)}this.stop(),e=t.extend({offset:[0,0],speed:1.2,curve:1.42,easing:t.ease},e);var a=this.transform,o=this.getZoom(),s=this.getBearing(),l=this.getPitch(),c=this.getPadding(),u=\\\"zoom\\\"in e?t.clamp(+e.zoom,a.minZoom,a.maxZoom):o,f=\\\"bearing\\\"in e?this._normalizeBearing(e.bearing,s):s,h=\\\"pitch\\\"in e?+e.pitch:l,p=\\\"padding\\\"in e?e.padding:a.padding,d=a.zoomScale(u-o),m=t.Point.convert(e.offset),g=a.centerPoint.add(m),v=a.pointLocation(g),y=t.LngLat.convert(e.center||v);this._normalizeCenter(y);var x=a.project(v),b=a.project(y).sub(x),_=e.curve,w=Math.max(a.width,a.height),T=w/d,k=b.mag();if(\\\"minZoom\\\"in e){var M=t.clamp(Math.min(e.minZoom,o,u),a.minZoom,a.maxZoom),A=w/a.zoomScale(M-o);_=Math.sqrt(A/k*2)}var S=_*_;function E(t){var e=(T*T-w*w+(t?-1:1)*S*S*k*k)/(2*(t?T:w)*S*k);return Math.log(Math.sqrt(e*e+1)-e)}function L(t){return(Math.exp(t)-Math.exp(-t))/2}function C(t){return(Math.exp(t)+Math.exp(-t))/2}var P=E(0),I=function(t){return C(P)/C(P+_*t)},O=function(t){return w*((C(P)*(L(e=P+_*t)/C(e))-L(P))/S)/k;var e},z=(E(1)-P)/_;if(Math.abs(k)<1e-6||!isFinite(z)){if(Math.abs(w-T)<1e-6)return this.easeTo(e,r);var D=T<w?-1:1;z=Math.abs(Math.log(T/w))/_,O=function(){return 0},I=function(t){return Math.exp(D*_*t)}}if(\\\"duration\\\"in e)e.duration=+e.duration;else{var R=\\\"screenSpeed\\\"in e?+e.screenSpeed/_:+e.speed;e.duration=1e3*z/R}return e.maxDuration&&e.duration>e.maxDuration&&(e.duration=0),this._zooming=!0,this._rotating=s!==f,this._pitching=h!==l,this._padding=!a.isPaddingEqual(p),this._prepareEase(r,!1),this._ease((function(e){var i=e*z,d=1/I(i);a.zoom=1===e?u:o+a.scaleZoom(d),n._rotating&&(a.bearing=t.number(s,f,e)),n._pitching&&(a.pitch=t.number(l,h,e)),n._padding&&(a.interpolatePadding(c,p,e),g=a.centerPoint.add(m));var v=1===e?y:a.unproject(x.add(b.mult(O(i))).mult(d));a.setLocationAtPoint(a.renderWorldCopies?v.wrap():v,g),n._fireMoveEvents(r)}),(function(){return n._afterEase(r)}),e),this},r.prototype.isEasing=function(){return!!this._easeFrameId},r.prototype.stop=function(){return this._stop()},r.prototype._stop=function(t,e){if(this._easeFrameId&&(this._cancelRenderFrame(this._easeFrameId),delete this._easeFrameId,delete this._onEaseFrame),this._onEaseEnd){var r=this._onEaseEnd;delete this._onEaseEnd,r.call(this,e)}if(!t){var n=this.handlers;n&&n.stop()}return this},r.prototype._ease=function(e,r,n){!1===n.animate||0===n.duration?(e(1),r()):(this._easeStart=t.browser.now(),this._easeOptions=n,this._onEaseFrame=e,this._onEaseEnd=r,this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback))},r.prototype._renderFrameCallback=function(){var e=Math.min((t.browser.now()-this._easeStart)/this._easeOptions.duration,1);this._onEaseFrame(this._easeOptions.easing(e)),e<1?this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback):this.stop()},r.prototype._normalizeBearing=function(e,r){e=t.wrap(e,-180,180);var n=Math.abs(e-r);return Math.abs(e-360-r)<n&&(e-=360),Math.abs(e+360-r)<n&&(e+=360),e},r.prototype._normalizeCenter=function(t){var e=this.transform;if(e.renderWorldCopies&&!e.lngRange){var r=t.lng-e.center.lng;t.lng+=r>180?-360:r<-180?360:0}},r}(t.Evented),bi=function(e){void 0===e&&(e={}),this.options=e,t.bindAll([\\\"_updateEditLink\\\",\\\"_updateData\\\",\\\"_updateCompact\\\"],this)};bi.prototype.getDefaultPosition=function(){return\\\"bottom-right\\\"},bi.prototype.onAdd=function(t){var e=this.options&&this.options.compact;return this._map=t,this._container=r.create(\\\"div\\\",\\\"mapboxgl-ctrl mapboxgl-ctrl-attrib\\\"),this._innerContainer=r.create(\\\"div\\\",\\\"mapboxgl-ctrl-attrib-inner\\\",this._container),e&&this._container.classList.add(\\\"mapboxgl-compact\\\"),this._updateAttributions(),this._updateEditLink(),this._map.on(\\\"styledata\\\",this._updateData),this._map.on(\\\"sourcedata\\\",this._updateData),this._map.on(\\\"moveend\\\",this._updateEditLink),void 0===e&&(this._map.on(\\\"resize\\\",this._updateCompact),this._updateCompact()),this._container},bi.prototype.onRemove=function(){r.remove(this._container),this._map.off(\\\"styledata\\\",this._updateData),this._map.off(\\\"sourcedata\\\",this._updateData),this._map.off(\\\"moveend\\\",this._updateEditLink),this._map.off(\\\"resize\\\",this._updateCompact),this._map=void 0,this._attribHTML=void 0},bi.prototype._updateEditLink=function(){var e=this._editLink;e||(e=this._editLink=this._container.querySelector(\\\".mapbox-improve-map\\\"));var r=[{key:\\\"owner\\\",value:this.styleOwner},{key:\\\"id\\\",value:this.styleId},{key:\\\"access_token\\\",value:this._map._requestManager._customAccessToken||t.config.ACCESS_TOKEN}];if(e){var n=r.reduce((function(t,e,n){return e.value&&(t+=e.key+\\\"=\\\"+e.value+(n<r.length-1?\\\"&\\\":\\\"\\\")),t}),\\\"?\\\");e.href=t.config.FEEDBACK_URL+\\\"/\\\"+n+(this._map._hash?this._map._hash.getHashString(!0):\\\"\\\"),e.rel=\\\"noopener nofollow\\\"}},bi.prototype._updateData=function(t){!t||\\\"metadata\\\"!==t.sourceDataType&&\\\"style\\\"!==t.dataType||(this._updateAttributions(),this._updateEditLink())},bi.prototype._updateAttributions=function(){if(this._map.style){var t=[];if(this.options.customAttribution&&(Array.isArray(this.options.customAttribution)?t=t.concat(this.options.customAttribution.map((function(t){return\\\"string\\\"!=typeof t?\\\"\\\":t}))):\\\"string\\\"==typeof this.options.customAttribution&&t.push(this.options.customAttribution)),this._map.style.stylesheet){var e=this._map.style.stylesheet;this.styleOwner=e.owner,this.styleId=e.id}var r=this._map.style.sourceCaches;for(var n in r){var i=r[n];if(i.used){var a=i.getSource();a.attribution&&t.indexOf(a.attribution)<0&&t.push(a.attribution)}}t.sort((function(t,e){return t.length-e.length}));var o=(t=t.filter((function(e,r){for(var n=r+1;n<t.length;n++)if(t[n].indexOf(e)>=0)return!1;return!0}))).join(\\\" | \\\");o!==this._attribHTML&&(this._attribHTML=o,t.length?(this._innerContainer.innerHTML=o,this._container.classList.remove(\\\"mapboxgl-attrib-empty\\\")):this._container.classList.add(\\\"mapboxgl-attrib-empty\\\"),this._editLink=null)}},bi.prototype._updateCompact=function(){this._map.getCanvasContainer().offsetWidth<=640?this._container.classList.add(\\\"mapboxgl-compact\\\"):this._container.classList.remove(\\\"mapboxgl-compact\\\")};var _i=function(){t.bindAll([\\\"_updateLogo\\\"],this),t.bindAll([\\\"_updateCompact\\\"],this)};_i.prototype.onAdd=function(t){this._map=t,this._container=r.create(\\\"div\\\",\\\"mapboxgl-ctrl\\\");var e=r.create(\\\"a\\\",\\\"mapboxgl-ctrl-logo\\\");return e.target=\\\"_blank\\\",e.rel=\\\"noopener nofollow\\\",e.href=\\\"https://www.mapbox.com/\\\",e.setAttribute(\\\"aria-label\\\",this._map._getUIString(\\\"LogoControl.Title\\\")),e.setAttribute(\\\"rel\\\",\\\"noopener nofollow\\\"),this._container.appendChild(e),this._container.style.display=\\\"none\\\",this._map.on(\\\"sourcedata\\\",this._updateLogo),this._updateLogo(),this._map.on(\\\"resize\\\",this._updateCompact),this._updateCompact(),this._container},_i.prototype.onRemove=function(){r.remove(this._container),this._map.off(\\\"sourcedata\\\",this._updateLogo),this._map.off(\\\"resize\\\",this._updateCompact)},_i.prototype.getDefaultPosition=function(){return\\\"bottom-left\\\"},_i.prototype._updateLogo=function(t){t&&\\\"metadata\\\"!==t.sourceDataType||(this._container.style.display=this._logoRequired()?\\\"block\\\":\\\"none\\\")},_i.prototype._logoRequired=function(){if(this._map.style){var t=this._map.style.sourceCaches;for(var e in t){if(t[e].getSource().mapbox_logo)return!0}return!1}},_i.prototype._updateCompact=function(){var t=this._container.children;if(t.length){var e=t[0];this._map.getCanvasContainer().offsetWidth<250?e.classList.add(\\\"mapboxgl-compact\\\"):e.classList.remove(\\\"mapboxgl-compact\\\")}};var wi=function(){this._queue=[],this._id=0,this._cleared=!1,this._currentlyRunning=!1};wi.prototype.add=function(t){var e=++this._id;return this._queue.push({callback:t,id:e,cancelled:!1}),e},wi.prototype.remove=function(t){for(var e=this._currentlyRunning,r=0,n=e?this._queue.concat(e):this._queue;r<n.length;r+=1){var i=n[r];if(i.id===t)return void(i.cancelled=!0)}},wi.prototype.run=function(t){void 0===t&&(t=0);var e=this._currentlyRunning=this._queue;this._queue=[];for(var r=0,n=e;r<n.length;r+=1){var i=n[r];if(!i.cancelled&&(i.callback(t),this._cleared))break}this._cleared=!1,this._currentlyRunning=!1},wi.prototype.clear=function(){this._currentlyRunning&&(this._cleared=!0),this._queue=[]};var Ti={\\\"FullscreenControl.Enter\\\":\\\"Enter fullscreen\\\",\\\"FullscreenControl.Exit\\\":\\\"Exit fullscreen\\\",\\\"GeolocateControl.FindMyLocation\\\":\\\"Find my location\\\",\\\"GeolocateControl.LocationNotAvailable\\\":\\\"Location not available\\\",\\\"LogoControl.Title\\\":\\\"Mapbox logo\\\",\\\"NavigationControl.ResetBearing\\\":\\\"Reset bearing to north\\\",\\\"NavigationControl.ZoomIn\\\":\\\"Zoom in\\\",\\\"NavigationControl.ZoomOut\\\":\\\"Zoom out\\\",\\\"ScaleControl.Feet\\\":\\\"ft\\\",\\\"ScaleControl.Meters\\\":\\\"m\\\",\\\"ScaleControl.Kilometers\\\":\\\"km\\\",\\\"ScaleControl.Miles\\\":\\\"mi\\\",\\\"ScaleControl.NauticalMiles\\\":\\\"nm\\\"},ki=t.window.HTMLImageElement,Mi=t.window.HTMLElement,Ai=t.window.ImageBitmap,Si={center:[0,0],zoom:0,bearing:0,pitch:0,minZoom:-2,maxZoom:22,minPitch:0,maxPitch:60,interactive:!0,scrollZoom:!0,boxZoom:!0,dragRotate:!0,dragPan:!0,keyboard:!0,doubleClickZoom:!0,touchZoomRotate:!0,touchPitch:!0,bearingSnap:7,clickTolerance:3,pitchWithRotate:!0,hash:!1,attributionControl:!0,failIfMajorPerformanceCaveat:!1,preserveDrawingBuffer:!1,trackResize:!0,renderWorldCopies:!0,refreshExpiredTiles:!0,maxTileCacheSize:null,localIdeographFontFamily:\\\"sans-serif\\\",transformRequest:null,accessToken:null,fadeDuration:300,crossSourceCollisions:!0},Ei=function(n){function i(e){var r=this;if(null!=(e=t.extend({},Si,e)).minZoom&&null!=e.maxZoom&&e.minZoom>e.maxZoom)throw new Error(\\\"maxZoom must be greater than or equal to minZoom\\\");if(null!=e.minPitch&&null!=e.maxPitch&&e.minPitch>e.maxPitch)throw new Error(\\\"maxPitch must be greater than or equal to minPitch\\\");if(null!=e.minPitch&&e.minPitch<0)throw new Error(\\\"minPitch must be greater than or equal to 0\\\");if(null!=e.maxPitch&&e.maxPitch>60)throw new Error(\\\"maxPitch must be less than or equal to 60\\\");var i=new Mn(e.minZoom,e.maxZoom,e.minPitch,e.maxPitch,e.renderWorldCopies);if(n.call(this,i,e),this._interactive=e.interactive,this._maxTileCacheSize=e.maxTileCacheSize,this._failIfMajorPerformanceCaveat=e.failIfMajorPerformanceCaveat,this._preserveDrawingBuffer=e.preserveDrawingBuffer,this._antialias=e.antialias,this._trackResize=e.trackResize,this._bearingSnap=e.bearingSnap,this._refreshExpiredTiles=e.refreshExpiredTiles,this._fadeDuration=e.fadeDuration,this._crossSourceCollisions=e.crossSourceCollisions,this._crossFadingFactor=1,this._collectResourceTiming=e.collectResourceTiming,this._renderTaskQueue=new wi,this._controls=[],this._mapId=t.uniqueId(),this._locale=t.extend({},Ti,e.locale),this._requestManager=new t.RequestManager(e.transformRequest,e.accessToken),\\\"string\\\"==typeof e.container){if(this._container=t.window.document.getElementById(e.container),!this._container)throw new Error(\\\"Container '\\\"+e.container+\\\"' not found.\\\")}else{if(!(e.container instanceof Mi))throw new Error(\\\"Invalid type: 'container' must be a String or HTMLElement.\\\");this._container=e.container}if(e.maxBounds&&this.setMaxBounds(e.maxBounds),t.bindAll([\\\"_onWindowOnline\\\",\\\"_onWindowResize\\\",\\\"_contextLost\\\",\\\"_contextRestored\\\"],this),this._setupContainer(),this._setupPainter(),void 0===this.painter)throw new Error(\\\"Failed to initialize WebGL.\\\");this.on(\\\"move\\\",(function(){return r._update(!1)})),this.on(\\\"moveend\\\",(function(){return r._update(!1)})),this.on(\\\"zoom\\\",(function(){return r._update(!0)})),void 0!==t.window&&(t.window.addEventListener(\\\"online\\\",this._onWindowOnline,!1),t.window.addEventListener(\\\"resize\\\",this._onWindowResize,!1)),this.handlers=new yi(this,e);var a=\\\"string\\\"==typeof e.hash&&e.hash||void 0;this._hash=e.hash&&new Sn(a).addTo(this),this._hash&&this._hash._onHashChange()||(this.jumpTo({center:e.center,zoom:e.zoom,bearing:e.bearing,pitch:e.pitch}),e.bounds&&(this.resize(),this.fitBounds(e.bounds,t.extend({},e.fitBoundsOptions,{duration:0})))),this.resize(),this._localIdeographFontFamily=e.localIdeographFontFamily,e.style&&this.setStyle(e.style,{localIdeographFontFamily:e.localIdeographFontFamily}),e.attributionControl&&this.addControl(new bi({customAttribution:e.customAttribution})),this.addControl(new _i,e.logoPosition),this.on(\\\"style.load\\\",(function(){r.transform.unmodified&&r.jumpTo(r.style.stylesheet)})),this.on(\\\"data\\\",(function(e){r._update(\\\"style\\\"===e.dataType),r.fire(new t.Event(e.dataType+\\\"data\\\",e))})),this.on(\\\"dataloading\\\",(function(e){r.fire(new t.Event(e.dataType+\\\"dataloading\\\",e))}))}n&&(i.__proto__=n),i.prototype=Object.create(n&&n.prototype),i.prototype.constructor=i;var a={showTileBoundaries:{configurable:!0},showPadding:{configurable:!0},showCollisionBoxes:{configurable:!0},showOverdrawInspector:{configurable:!0},repaint:{configurable:!0},vertices:{configurable:!0},version:{configurable:!0}};return i.prototype._getMapId=function(){return this._mapId},i.prototype.addControl=function(e,r){if(void 0===r&&e.getDefaultPosition&&(r=e.getDefaultPosition()),void 0===r&&(r=\\\"top-right\\\"),!e||!e.onAdd)return this.fire(new t.ErrorEvent(new Error(\\\"Invalid argument to map.addControl(). Argument must be a control with onAdd and onRemove methods.\\\")));var n=e.onAdd(this);this._controls.push(e);var i=this._controlPositions[r];return-1!==r.indexOf(\\\"bottom\\\")?i.insertBefore(n,i.firstChild):i.appendChild(n),this},i.prototype.removeControl=function(e){if(!e||!e.onRemove)return this.fire(new t.ErrorEvent(new Error(\\\"Invalid argument to map.removeControl(). Argument must be a control with onAdd and onRemove methods.\\\")));var r=this._controls.indexOf(e);return r>-1&&this._controls.splice(r,1),e.onRemove(this),this},i.prototype.resize=function(e){var r=this._containerDimensions(),n=r[0],i=r[1];this._resizeCanvas(n,i),this.transform.resize(n,i),this.painter.resize(n,i);var a=!this._moving;return a&&(this.stop(),this.fire(new t.Event(\\\"movestart\\\",e)).fire(new t.Event(\\\"move\\\",e))),this.fire(new t.Event(\\\"resize\\\",e)),a&&this.fire(new t.Event(\\\"moveend\\\",e)),this},i.prototype.getBounds=function(){return this.transform.getBounds()},i.prototype.getMaxBounds=function(){return this.transform.getMaxBounds()},i.prototype.setMaxBounds=function(e){return this.transform.setMaxBounds(t.LngLatBounds.convert(e)),this._update()},i.prototype.setMinZoom=function(t){if((t=null==t?-2:t)>=-2&&t<=this.transform.maxZoom)return this.transform.minZoom=t,this._update(),this.getZoom()<t&&this.setZoom(t),this;throw new Error(\\\"minZoom must be between -2 and the current maxZoom, inclusive\\\")},i.prototype.getMinZoom=function(){return this.transform.minZoom},i.prototype.setMaxZoom=function(t){if((t=null==t?22:t)>=this.transform.minZoom)return this.transform.maxZoom=t,this._update(),this.getZoom()>t&&this.setZoom(t),this;throw new Error(\\\"maxZoom must be greater than the current minZoom\\\")},i.prototype.getMaxZoom=function(){return this.transform.maxZoom},i.prototype.setMinPitch=function(t){if((t=null==t?0:t)<0)throw new Error(\\\"minPitch must be greater than or equal to 0\\\");if(t>=0&&t<=this.transform.maxPitch)return this.transform.minPitch=t,this._update(),this.getPitch()<t&&this.setPitch(t),this;throw new Error(\\\"minPitch must be between 0 and the current maxPitch, inclusive\\\")},i.prototype.getMinPitch=function(){return this.transform.minPitch},i.prototype.setMaxPitch=function(t){if((t=null==t?60:t)>60)throw new Error(\\\"maxPitch must be less than or equal to 60\\\");if(t>=this.transform.minPitch)return this.transform.maxPitch=t,this._update(),this.getPitch()>t&&this.setPitch(t),this;throw new Error(\\\"maxPitch must be greater than the current minPitch\\\")},i.prototype.getMaxPitch=function(){return this.transform.maxPitch},i.prototype.getRenderWorldCopies=function(){return this.transform.renderWorldCopies},i.prototype.setRenderWorldCopies=function(t){return this.transform.renderWorldCopies=t,this._update()},i.prototype.project=function(e){return this.transform.locationPoint(t.LngLat.convert(e))},i.prototype.unproject=function(e){return this.transform.pointLocation(t.Point.convert(e))},i.prototype.isMoving=function(){return this._moving||this.handlers.isMoving()},i.prototype.isZooming=function(){return this._zooming||this.handlers.isZooming()},i.prototype.isRotating=function(){return this._rotating||this.handlers.isRotating()},i.prototype._createDelegatedListener=function(t,e,r){var n,i=this;if(\\\"mouseenter\\\"===t||\\\"mouseover\\\"===t){var a=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){var o=i.getLayer(e)?i.queryRenderedFeatures(n.point,{layers:[e]}):[];o.length?a||(a=!0,r.call(i,new Rn(t,i,n.originalEvent,{features:o}))):a=!1},mouseout:function(){a=!1}}}}if(\\\"mouseleave\\\"===t||\\\"mouseout\\\"===t){var o=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){(i.getLayer(e)?i.queryRenderedFeatures(n.point,{layers:[e]}):[]).length?o=!0:o&&(o=!1,r.call(i,new Rn(t,i,n.originalEvent)))},mouseout:function(e){o&&(o=!1,r.call(i,new Rn(t,i,e.originalEvent)))}}}}return{layer:e,listener:r,delegates:(n={},n[t]=function(t){var n=i.getLayer(e)?i.queryRenderedFeatures(t.point,{layers:[e]}):[];n.length&&(t.features=n,r.call(i,t),delete t.features)},n)}},i.prototype.on=function(t,e,r){if(void 0===r)return n.prototype.on.call(this,t,e);var i=this._createDelegatedListener(t,e,r);for(var a in this._delegatedListeners=this._delegatedListeners||{},this._delegatedListeners[t]=this._delegatedListeners[t]||[],this._delegatedListeners[t].push(i),i.delegates)this.on(a,i.delegates[a]);return this},i.prototype.once=function(t,e,r){if(void 0===r)return n.prototype.once.call(this,t,e);var i=this._createDelegatedListener(t,e,r);for(var a in i.delegates)this.once(a,i.delegates[a]);return this},i.prototype.off=function(t,e,r){var i=this;if(void 0===r)return n.prototype.off.call(this,t,e);return this._delegatedListeners&&this._delegatedListeners[t]&&function(n){for(var a=n[t],o=0;o<a.length;o++){var s=a[o];if(s.layer===e&&s.listener===r){for(var l in s.delegates)i.off(l,s.delegates[l]);return a.splice(o,1),i}}}(this._delegatedListeners),this},i.prototype.queryRenderedFeatures=function(e,r){if(!this.style)return[];var n;if(void 0!==r||void 0===e||e instanceof t.Point||Array.isArray(e)||(r=e,e=void 0),r=r||{},(e=e||[[0,0],[this.transform.width,this.transform.height]])instanceof t.Point||\\\"number\\\"==typeof e[0])n=[t.Point.convert(e)];else{var i=t.Point.convert(e[0]),a=t.Point.convert(e[1]);n=[i,new t.Point(a.x,i.y),a,new t.Point(i.x,a.y),i]}return this.style.queryRenderedFeatures(n,r,this.transform)},i.prototype.querySourceFeatures=function(t,e){return this.style.querySourceFeatures(t,e)},i.prototype.setStyle=function(e,r){return!1!==(r=t.extend({},{localIdeographFontFamily:this._localIdeographFontFamily},r)).diff&&r.localIdeographFontFamily===this._localIdeographFontFamily&&this.style&&e?(this._diffStyle(e,r),this):(this._localIdeographFontFamily=r.localIdeographFontFamily,this._updateStyle(e,r))},i.prototype._getUIString=function(t){var e=this._locale[t];if(null==e)throw new Error(\\\"Missing UI string '\\\"+t+\\\"'\\\");return e},i.prototype._updateStyle=function(t,e){return this.style&&(this.style.setEventedParent(null),this.style._remove()),t?(this.style=new He(this,e||{}),this.style.setEventedParent(this,{style:this.style}),\\\"string\\\"==typeof t?this.style.loadURL(t):this.style.loadJSON(t),this):(delete this.style,this)},i.prototype._lazyInitEmptyStyle=function(){this.style||(this.style=new He(this,{}),this.style.setEventedParent(this,{style:this.style}),this.style.loadEmpty())},i.prototype._diffStyle=function(e,r){var n=this;if(\\\"string\\\"==typeof e){var i=this._requestManager.normalizeStyleURL(e),a=this._requestManager.transformRequest(i,t.ResourceType.Style);t.getJSON(a,(function(e,i){e?n.fire(new t.ErrorEvent(e)):i&&n._updateDiff(i,r)}))}else\\\"object\\\"==typeof e&&this._updateDiff(e,r)},i.prototype._updateDiff=function(e,r){try{this.style.setState(e)&&this._update(!0)}catch(n){t.warnOnce(\\\"Unable to perform style diff: \\\"+(n.message||n.error||n)+\\\".  Rebuilding the style from scratch.\\\"),this._updateStyle(e,r)}},i.prototype.getStyle=function(){if(this.style)return this.style.serialize()},i.prototype.isStyleLoaded=function(){return this.style?this.style.loaded():t.warnOnce(\\\"There is no style added to the map.\\\")},i.prototype.addSource=function(t,e){return this._lazyInitEmptyStyle(),this.style.addSource(t,e),this._update(!0)},i.prototype.isSourceLoaded=function(e){var r=this.style&&this.style.sourceCaches[e];if(void 0!==r)return r.loaded();this.fire(new t.ErrorEvent(new Error(\\\"There is no source with ID '\\\"+e+\\\"'\\\")))},i.prototype.areTilesLoaded=function(){var t=this.style&&this.style.sourceCaches;for(var e in t){var r=t[e]._tiles;for(var n in r){var i=r[n];if(\\\"loaded\\\"!==i.state&&\\\"errored\\\"!==i.state)return!1}}return!0},i.prototype.addSourceType=function(t,e,r){return this._lazyInitEmptyStyle(),this.style.addSourceType(t,e,r)},i.prototype.removeSource=function(t){return this.style.removeSource(t),this._update(!0)},i.prototype.getSource=function(t){return this.style.getSource(t)},i.prototype.addImage=function(e,r,n){void 0===n&&(n={});var i=n.pixelRatio;void 0===i&&(i=1);var a=n.sdf;void 0===a&&(a=!1);var o=n.stretchX,s=n.stretchY,l=n.content;this._lazyInitEmptyStyle();if(r instanceof ki||Ai&&r instanceof Ai){var c=t.browser.getImageData(r),u=c.width,f=c.height,h=c.data;this.style.addImage(e,{data:new t.RGBAImage({width:u,height:f},h),pixelRatio:i,stretchX:o,stretchY:s,content:l,sdf:a,version:0})}else{if(void 0===r.width||void 0===r.height)return this.fire(new t.ErrorEvent(new Error(\\\"Invalid arguments to map.addImage(). The second argument must be an `HTMLImageElement`, `ImageData`, `ImageBitmap`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`\\\")));var p=r.width,d=r.height,m=r.data,g=r;this.style.addImage(e,{data:new t.RGBAImage({width:p,height:d},new Uint8Array(m)),pixelRatio:i,stretchX:o,stretchY:s,content:l,sdf:a,version:0,userImage:g}),g.onAdd&&g.onAdd(this,e)}},i.prototype.updateImage=function(e,r){var n=this.style.getImage(e);if(!n)return this.fire(new t.ErrorEvent(new Error(\\\"The map has no image with that id. If you are adding a new image use `map.addImage(...)` instead.\\\")));var i=r instanceof ki||Ai&&r instanceof Ai?t.browser.getImageData(r):r,a=i.width,o=i.height,s=i.data;if(void 0===a||void 0===o)return this.fire(new t.ErrorEvent(new Error(\\\"Invalid arguments to map.updateImage(). The second argument must be an `HTMLImageElement`, `ImageData`, `ImageBitmap`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`\\\")));if(a!==n.data.width||o!==n.data.height)return this.fire(new t.ErrorEvent(new Error(\\\"The width and height of the updated image must be that same as the previous version of the image\\\")));var l=!(r instanceof ki||Ai&&r instanceof Ai);n.data.replace(s,l),this.style.updateImage(e,n)},i.prototype.hasImage=function(e){return e?!!this.style.getImage(e):(this.fire(new t.ErrorEvent(new Error(\\\"Missing required image id\\\"))),!1)},i.prototype.removeImage=function(t){this.style.removeImage(t)},i.prototype.loadImage=function(e,r){t.getImage(this._requestManager.transformRequest(e,t.ResourceType.Image),r)},i.prototype.listImages=function(){return this.style.listImages()},i.prototype.addLayer=function(t,e){return this._lazyInitEmptyStyle(),this.style.addLayer(t,e),this._update(!0)},i.prototype.moveLayer=function(t,e){return this.style.moveLayer(t,e),this._update(!0)},i.prototype.removeLayer=function(t){return this.style.removeLayer(t),this._update(!0)},i.prototype.getLayer=function(t){return this.style.getLayer(t)},i.prototype.setLayerZoomRange=function(t,e,r){return this.style.setLayerZoomRange(t,e,r),this._update(!0)},i.prototype.setFilter=function(t,e,r){return void 0===r&&(r={}),this.style.setFilter(t,e,r),this._update(!0)},i.prototype.getFilter=function(t){return this.style.getFilter(t)},i.prototype.setPaintProperty=function(t,e,r,n){return void 0===n&&(n={}),this.style.setPaintProperty(t,e,r,n),this._update(!0)},i.prototype.getPaintProperty=function(t,e){return this.style.getPaintProperty(t,e)},i.prototype.setLayoutProperty=function(t,e,r,n){return void 0===n&&(n={}),this.style.setLayoutProperty(t,e,r,n),this._update(!0)},i.prototype.getLayoutProperty=function(t,e){return this.style.getLayoutProperty(t,e)},i.prototype.setLight=function(t,e){return void 0===e&&(e={}),this._lazyInitEmptyStyle(),this.style.setLight(t,e),this._update(!0)},i.prototype.getLight=function(){return this.style.getLight()},i.prototype.setFeatureState=function(t,e){return this.style.setFeatureState(t,e),this._update()},i.prototype.removeFeatureState=function(t,e){return this.style.removeFeatureState(t,e),this._update()},i.prototype.getFeatureState=function(t){return this.style.getFeatureState(t)},i.prototype.getContainer=function(){return this._container},i.prototype.getCanvasContainer=function(){return this._canvasContainer},i.prototype.getCanvas=function(){return this._canvas},i.prototype._containerDimensions=function(){var t=0,e=0;return this._container&&(t=this._container.clientWidth||400,e=this._container.clientHeight||300),[t,e]},i.prototype._detectMissingCSS=function(){\\\"rgb(250, 128, 114)\\\"!==t.window.getComputedStyle(this._missingCSSCanary).getPropertyValue(\\\"background-color\\\")&&t.warnOnce(\\\"This page appears to be missing CSS declarations for Mapbox GL JS, which may cause the map to display incorrectly. Please ensure your page includes mapbox-gl.css, as described in https://www.mapbox.com/mapbox-gl-js/api/.\\\")},i.prototype._setupContainer=function(){var t=this._container;t.classList.add(\\\"mapboxgl-map\\\"),(this._missingCSSCanary=r.create(\\\"div\\\",\\\"mapboxgl-canary\\\",t)).style.visibility=\\\"hidden\\\",this._detectMissingCSS();var e=this._canvasContainer=r.create(\\\"div\\\",\\\"mapboxgl-canvas-container\\\",t);this._interactive&&e.classList.add(\\\"mapboxgl-interactive\\\"),this._canvas=r.create(\\\"canvas\\\",\\\"mapboxgl-canvas\\\",e),this._canvas.addEventListener(\\\"webglcontextlost\\\",this._contextLost,!1),this._canvas.addEventListener(\\\"webglcontextrestored\\\",this._contextRestored,!1),this._canvas.setAttribute(\\\"tabindex\\\",\\\"0\\\"),this._canvas.setAttribute(\\\"aria-label\\\",\\\"Map\\\");var n=this._containerDimensions();this._resizeCanvas(n[0],n[1]);var i=this._controlContainer=r.create(\\\"div\\\",\\\"mapboxgl-control-container\\\",t),a=this._controlPositions={};[\\\"top-left\\\",\\\"top-right\\\",\\\"bottom-left\\\",\\\"bottom-right\\\"].forEach((function(t){a[t]=r.create(\\\"div\\\",\\\"mapboxgl-ctrl-\\\"+t,i)}))},i.prototype._resizeCanvas=function(e,r){var n=t.browser.devicePixelRatio||1;this._canvas.width=n*e,this._canvas.height=n*r,this._canvas.style.width=e+\\\"px\\\",this._canvas.style.height=r+\\\"px\\\"},i.prototype._setupPainter=function(){var r=t.extend({},e.webGLContextAttributes,{failIfMajorPerformanceCaveat:this._failIfMajorPerformanceCaveat,preserveDrawingBuffer:this._preserveDrawingBuffer,antialias:this._antialias||!1}),n=this._canvas.getContext(\\\"webgl\\\",r)||this._canvas.getContext(\\\"experimental-webgl\\\",r);n?(this.painter=new _n(n,this.transform),t.webpSupported.testSupport(n)):this.fire(new t.ErrorEvent(new Error(\\\"Failed to initialize WebGL\\\")))},i.prototype._contextLost=function(e){e.preventDefault(),this._frame&&(this._frame.cancel(),this._frame=null),this.fire(new t.Event(\\\"webglcontextlost\\\",{originalEvent:e}))},i.prototype._contextRestored=function(e){this._setupPainter(),this.resize(),this._update(),this.fire(new t.Event(\\\"webglcontextrestored\\\",{originalEvent:e}))},i.prototype.loaded=function(){return!this._styleDirty&&!this._sourcesDirty&&!!this.style&&this.style.loaded()},i.prototype._update=function(t){return this.style?(this._styleDirty=this._styleDirty||t,this._sourcesDirty=!0,this.triggerRepaint(),this):this},i.prototype._requestRenderFrame=function(t){return this._update(),this._renderTaskQueue.add(t)},i.prototype._cancelRenderFrame=function(t){this._renderTaskQueue.remove(t)},i.prototype._render=function(e){var r,n=this,i=0,a=this.painter.context.extTimerQuery;if(this.listens(\\\"gpu-timing-frame\\\")&&(r=a.createQueryEXT(),a.beginQueryEXT(a.TIME_ELAPSED_EXT,r),i=t.browser.now()),this.painter.context.setDirty(),this.painter.setBaseState(),this._renderTaskQueue.run(e),!this._removed){var o=!1;if(this.style&&this._styleDirty){this._styleDirty=!1;var s=this.transform.zoom,l=t.browser.now();this.style.zoomHistory.update(s,l);var c=new t.EvaluationParameters(s,{now:l,fadeDuration:this._fadeDuration,zoomHistory:this.style.zoomHistory,transition:this.style.getTransition()}),u=c.crossFadingFactor();1===u&&u===this._crossFadingFactor||(o=!0,this._crossFadingFactor=u),this.style.update(c)}if(this.style&&this._sourcesDirty&&(this._sourcesDirty=!1,this.style._updateSources(this.transform)),this._placementDirty=this.style&&this.style._updatePlacement(this.painter.transform,this.showCollisionBoxes,this._fadeDuration,this._crossSourceCollisions),this.painter.render(this.style,{showTileBoundaries:this.showTileBoundaries,showOverdrawInspector:this._showOverdrawInspector,rotating:this.isRotating(),zooming:this.isZooming(),moving:this.isMoving(),fadeDuration:this._fadeDuration,showPadding:this.showPadding,gpuTiming:!!this.listens(\\\"gpu-timing-layer\\\")}),this.fire(new t.Event(\\\"render\\\")),this.loaded()&&!this._loaded&&(this._loaded=!0,this.fire(new t.Event(\\\"load\\\"))),this.style&&(this.style.hasTransitions()||o)&&(this._styleDirty=!0),this.style&&!this._placementDirty&&this.style._releaseSymbolFadeTiles(),this.listens(\\\"gpu-timing-frame\\\")){var f=t.browser.now()-i;a.endQueryEXT(a.TIME_ELAPSED_EXT,r),setTimeout((function(){var e=a.getQueryObjectEXT(r,a.QUERY_RESULT_EXT)/1e6;a.deleteQueryEXT(r),n.fire(new t.Event(\\\"gpu-timing-frame\\\",{cpuTime:f,gpuTime:e}))}),50)}if(this.listens(\\\"gpu-timing-layer\\\")){var h=this.painter.collectGpuTimers();setTimeout((function(){var e=n.painter.queryGpuTimers(h);n.fire(new t.Event(\\\"gpu-timing-layer\\\",{layerTimes:e}))}),50)}return this._sourcesDirty||this._styleDirty||this._placementDirty||this._repaint?this.triggerRepaint():!this.isMoving()&&this.loaded()&&(this._fullyLoaded||(this._fullyLoaded=!0),this.fire(new t.Event(\\\"idle\\\"))),this}},i.prototype.remove=function(){this._hash&&this._hash.remove();for(var e=0,r=this._controls;e<r.length;e+=1){r[e].onRemove(this)}this._controls=[],this._frame&&(this._frame.cancel(),this._frame=null),this._renderTaskQueue.clear(),this.painter.destroy(),this.handlers.destroy(),delete this.handlers,this.setStyle(null),void 0!==t.window&&(t.window.removeEventListener(\\\"resize\\\",this._onWindowResize,!1),t.window.removeEventListener(\\\"online\\\",this._onWindowOnline,!1));var n=this.painter.context.gl.getExtension(\\\"WEBGL_lose_context\\\");n&&n.loseContext(),Li(this._canvasContainer),Li(this._controlContainer),Li(this._missingCSSCanary),this._container.classList.remove(\\\"mapboxgl-map\\\"),this._removed=!0,this.fire(new t.Event(\\\"remove\\\"))},i.prototype.triggerRepaint=function(){var e=this;this.style&&!this._frame&&(this._frame=t.browser.frame((function(t){e._frame=null,e._render(t)})))},i.prototype._onWindowOnline=function(){this._update()},i.prototype._onWindowResize=function(t){this._trackResize&&this.resize({originalEvent:t})._update()},a.showTileBoundaries.get=function(){return!!this._showTileBoundaries},a.showTileBoundaries.set=function(t){this._showTileBoundaries!==t&&(this._showTileBoundaries=t,this._update())},a.showPadding.get=function(){return!!this._showPadding},a.showPadding.set=function(t){this._showPadding!==t&&(this._showPadding=t,this._update())},a.showCollisionBoxes.get=function(){return!!this._showCollisionBoxes},a.showCollisionBoxes.set=function(t){this._showCollisionBoxes!==t&&(this._showCollisionBoxes=t,t?this.style._generateCollisionBoxes():this._update())},a.showOverdrawInspector.get=function(){return!!this._showOverdrawInspector},a.showOverdrawInspector.set=function(t){this._showOverdrawInspector!==t&&(this._showOverdrawInspector=t,this._update())},a.repaint.get=function(){return!!this._repaint},a.repaint.set=function(t){this._repaint!==t&&(this._repaint=t,this.triggerRepaint())},a.vertices.get=function(){return!!this._vertices},a.vertices.set=function(t){this._vertices=t,this._update()},i.prototype._setCacheLimits=function(e,r){t.setCacheLimits(e,r)},a.version.get=function(){return t.version},Object.defineProperties(i.prototype,a),i}(xi);function Li(t){t.parentNode&&t.parentNode.removeChild(t)}var Ci={showCompass:!0,showZoom:!0,visualizePitch:!1},Pi=function(e){var n=this;this.options=t.extend({},Ci,e),this._container=r.create(\\\"div\\\",\\\"mapboxgl-ctrl mapboxgl-ctrl-group\\\"),this._container.addEventListener(\\\"contextmenu\\\",(function(t){return t.preventDefault()})),this.options.showZoom&&(t.bindAll([\\\"_setButtonTitle\\\",\\\"_updateZoomButtons\\\"],this),this._zoomInButton=this._createButton(\\\"mapboxgl-ctrl-zoom-in\\\",(function(t){return n._map.zoomIn({},{originalEvent:t})})),r.create(\\\"span\\\",\\\"mapboxgl-ctrl-icon\\\",this._zoomInButton).setAttribute(\\\"aria-hidden\\\",!0),this._zoomOutButton=this._createButton(\\\"mapboxgl-ctrl-zoom-out\\\",(function(t){return n._map.zoomOut({},{originalEvent:t})})),r.create(\\\"span\\\",\\\"mapboxgl-ctrl-icon\\\",this._zoomOutButton).setAttribute(\\\"aria-hidden\\\",!0)),this.options.showCompass&&(t.bindAll([\\\"_rotateCompassArrow\\\"],this),this._compass=this._createButton(\\\"mapboxgl-ctrl-compass\\\",(function(t){n.options.visualizePitch?n._map.resetNorthPitch({},{originalEvent:t}):n._map.resetNorth({},{originalEvent:t})})),this._compassIcon=r.create(\\\"span\\\",\\\"mapboxgl-ctrl-icon\\\",this._compass),this._compassIcon.setAttribute(\\\"aria-hidden\\\",!0))};Pi.prototype._updateZoomButtons=function(){var t=this._map.getZoom();this._zoomInButton.disabled=t===this._map.getMaxZoom(),this._zoomOutButton.disabled=t===this._map.getMinZoom()},Pi.prototype._rotateCompassArrow=function(){var t=this.options.visualizePitch?\\\"scale(\\\"+1/Math.pow(Math.cos(this._map.transform.pitch*(Math.PI/180)),.5)+\\\") rotateX(\\\"+this._map.transform.pitch+\\\"deg) rotateZ(\\\"+this._map.transform.angle*(180/Math.PI)+\\\"deg)\\\":\\\"rotate(\\\"+this._map.transform.angle*(180/Math.PI)+\\\"deg)\\\";this._compassIcon.style.transform=t},Pi.prototype.onAdd=function(t){return this._map=t,this.options.showZoom&&(this._setButtonTitle(this._zoomInButton,\\\"ZoomIn\\\"),this._setButtonTitle(this._zoomOutButton,\\\"ZoomOut\\\"),this._map.on(\\\"zoom\\\",this._updateZoomButtons),this._updateZoomButtons()),this.options.showCompass&&(this._setButtonTitle(this._compass,\\\"ResetBearing\\\"),this.options.visualizePitch&&this._map.on(\\\"pitch\\\",this._rotateCompassArrow),this._map.on(\\\"rotate\\\",this._rotateCompassArrow),this._rotateCompassArrow(),this._handler=new Ii(this._map,this._compass,this.options.visualizePitch)),this._container},Pi.prototype.onRemove=function(){r.remove(this._container),this.options.showZoom&&this._map.off(\\\"zoom\\\",this._updateZoomButtons),this.options.showCompass&&(this.options.visualizePitch&&this._map.off(\\\"pitch\\\",this._rotateCompassArrow),this._map.off(\\\"rotate\\\",this._rotateCompassArrow),this._handler.off(),delete this._handler),delete this._map},Pi.prototype._createButton=function(t,e){var n=r.create(\\\"button\\\",t,this._container);return n.type=\\\"button\\\",n.addEventListener(\\\"click\\\",e),n},Pi.prototype._setButtonTitle=function(t,e){var r=this._map._getUIString(\\\"NavigationControl.\\\"+e);t.title=r,t.setAttribute(\\\"aria-label\\\",r)};var Ii=function(e,n,i){void 0===i&&(i=!1),this._clickTolerance=10,this.element=n,this.mouseRotate=new Xn({clickTolerance:e.dragRotate._mouseRotate._clickTolerance}),this.map=e,i&&(this.mousePitch=new Zn({clickTolerance:e.dragRotate._mousePitch._clickTolerance})),t.bindAll([\\\"mousedown\\\",\\\"mousemove\\\",\\\"mouseup\\\",\\\"touchstart\\\",\\\"touchmove\\\",\\\"touchend\\\",\\\"reset\\\"],this),r.addEventListener(n,\\\"mousedown\\\",this.mousedown),r.addEventListener(n,\\\"touchstart\\\",this.touchstart,{passive:!1}),r.addEventListener(n,\\\"touchmove\\\",this.touchmove),r.addEventListener(n,\\\"touchend\\\",this.touchend),r.addEventListener(n,\\\"touchcancel\\\",this.reset)};function Oi(e,r,n){if(e=new t.LngLat(e.lng,e.lat),r){var i=new t.LngLat(e.lng-360,e.lat),a=new t.LngLat(e.lng+360,e.lat),o=n.locationPoint(e).distSqr(r);n.locationPoint(i).distSqr(r)<o?e=i:n.locationPoint(a).distSqr(r)<o&&(e=a)}for(;Math.abs(e.lng-n.center.lng)>180;){var s=n.locationPoint(e);if(s.x>=0&&s.y>=0&&s.x<=n.width&&s.y<=n.height)break;e.lng>n.center.lng?e.lng-=360:e.lng+=360}return e}Ii.prototype.down=function(t,e){this.mouseRotate.mousedown(t,e),this.mousePitch&&this.mousePitch.mousedown(t,e),r.disableDrag()},Ii.prototype.move=function(t,e){var r=this.map,n=this.mouseRotate.mousemoveWindow(t,e);if(n&&n.bearingDelta&&r.setBearing(r.getBearing()+n.bearingDelta),this.mousePitch){var i=this.mousePitch.mousemoveWindow(t,e);i&&i.pitchDelta&&r.setPitch(r.getPitch()+i.pitchDelta)}},Ii.prototype.off=function(){var t=this.element;r.removeEventListener(t,\\\"mousedown\\\",this.mousedown),r.removeEventListener(t,\\\"touchstart\\\",this.touchstart,{passive:!1}),r.removeEventListener(t,\\\"touchmove\\\",this.touchmove),r.removeEventListener(t,\\\"touchend\\\",this.touchend),r.removeEventListener(t,\\\"touchcancel\\\",this.reset),this.offTemp()},Ii.prototype.offTemp=function(){r.enableDrag(),r.removeEventListener(t.window,\\\"mousemove\\\",this.mousemove),r.removeEventListener(t.window,\\\"mouseup\\\",this.mouseup)},Ii.prototype.mousedown=function(e){this.down(t.extend({},e,{ctrlKey:!0,preventDefault:function(){return e.preventDefault()}}),r.mousePos(this.element,e)),r.addEventListener(t.window,\\\"mousemove\\\",this.mousemove),r.addEventListener(t.window,\\\"mouseup\\\",this.mouseup)},Ii.prototype.mousemove=function(t){this.move(t,r.mousePos(this.element,t))},Ii.prototype.mouseup=function(t){this.mouseRotate.mouseupWindow(t),this.mousePitch&&this.mousePitch.mouseupWindow(t),this.offTemp()},Ii.prototype.touchstart=function(t){1!==t.targetTouches.length?this.reset():(this._startPos=this._lastPos=r.touchPos(this.element,t.targetTouches)[0],this.down({type:\\\"mousedown\\\",button:0,ctrlKey:!0,preventDefault:function(){return t.preventDefault()}},this._startPos))},Ii.prototype.touchmove=function(t){1!==t.targetTouches.length?this.reset():(this._lastPos=r.touchPos(this.element,t.targetTouches)[0],this.move({preventDefault:function(){return t.preventDefault()}},this._lastPos))},Ii.prototype.touchend=function(t){0===t.targetTouches.length&&this._startPos&&this._lastPos&&this._startPos.dist(this._lastPos)<this._clickTolerance&&this.element.click(),this.reset()},Ii.prototype.reset=function(){this.mouseRotate.reset(),this.mousePitch&&this.mousePitch.reset(),delete this._startPos,delete this._lastPos,this.offTemp()};var zi={center:\\\"translate(-50%,-50%)\\\",top:\\\"translate(-50%,0)\\\",\\\"top-left\\\":\\\"translate(0,0)\\\",\\\"top-right\\\":\\\"translate(-100%,0)\\\",bottom:\\\"translate(-50%,-100%)\\\",\\\"bottom-left\\\":\\\"translate(0,-100%)\\\",\\\"bottom-right\\\":\\\"translate(-100%,-100%)\\\",left:\\\"translate(0,-50%)\\\",right:\\\"translate(-100%,-50%)\\\"};function Di(t,e,r){var n=t.classList;for(var i in zi)n.remove(\\\"mapboxgl-\\\"+r+\\\"-anchor-\\\"+i);n.add(\\\"mapboxgl-\\\"+r+\\\"-anchor-\\\"+e)}var Ri,Fi=function(e){function n(n,i){var a=this;if(e.call(this),(n instanceof t.window.HTMLElement||i)&&(n=t.extend({element:n},i)),t.bindAll([\\\"_update\\\",\\\"_onMove\\\",\\\"_onUp\\\",\\\"_addDragHandler\\\",\\\"_onMapClick\\\",\\\"_onKeyPress\\\"],this),this._anchor=n&&n.anchor||\\\"center\\\",this._color=n&&n.color||\\\"#3FB1CE\\\",this._draggable=n&&n.draggable||!1,this._state=\\\"inactive\\\",this._rotation=n&&n.rotation||0,this._rotationAlignment=n&&n.rotationAlignment||\\\"auto\\\",this._pitchAlignment=n&&n.pitchAlignment&&\\\"auto\\\"!==n.pitchAlignment?n.pitchAlignment:this._rotationAlignment,n&&n.element)this._element=n.element,this._offset=t.Point.convert(n&&n.offset||[0,0]);else{this._defaultMarker=!0,this._element=r.create(\\\"div\\\"),this._element.setAttribute(\\\"aria-label\\\",\\\"Map marker\\\");var o=r.createNS(\\\"http://www.w3.org/2000/svg\\\",\\\"svg\\\");o.setAttributeNS(null,\\\"display\\\",\\\"block\\\"),o.setAttributeNS(null,\\\"height\\\",\\\"41px\\\"),o.setAttributeNS(null,\\\"width\\\",\\\"27px\\\"),o.setAttributeNS(null,\\\"viewBox\\\",\\\"0 0 27 41\\\");var s=r.createNS(\\\"http://www.w3.org/2000/svg\\\",\\\"g\\\");s.setAttributeNS(null,\\\"stroke\\\",\\\"none\\\"),s.setAttributeNS(null,\\\"stroke-width\\\",\\\"1\\\"),s.setAttributeNS(null,\\\"fill\\\",\\\"none\\\"),s.setAttributeNS(null,\\\"fill-rule\\\",\\\"evenodd\\\");var l=r.createNS(\\\"http://www.w3.org/2000/svg\\\",\\\"g\\\");l.setAttributeNS(null,\\\"fill-rule\\\",\\\"nonzero\\\");var c=r.createNS(\\\"http://www.w3.org/2000/svg\\\",\\\"g\\\");c.setAttributeNS(null,\\\"transform\\\",\\\"translate(3.0, 29.0)\\\"),c.setAttributeNS(null,\\\"fill\\\",\\\"#000000\\\");for(var u=0,f=[{rx:\\\"10.5\\\",ry:\\\"5.25002273\\\"},{rx:\\\"10.5\\\",ry:\\\"5.25002273\\\"},{rx:\\\"9.5\\\",ry:\\\"4.77275007\\\"},{rx:\\\"8.5\\\",ry:\\\"4.29549936\\\"},{rx:\\\"7.5\\\",ry:\\\"3.81822308\\\"},{rx:\\\"6.5\\\",ry:\\\"3.34094679\\\"},{rx:\\\"5.5\\\",ry:\\\"2.86367051\\\"},{rx:\\\"4.5\\\",ry:\\\"2.38636864\\\"}];u<f.length;u+=1){var h=f[u],p=r.createNS(\\\"http://www.w3.org/2000/svg\\\",\\\"ellipse\\\");p.setAttributeNS(null,\\\"opacity\\\",\\\"0.04\\\"),p.setAttributeNS(null,\\\"cx\\\",\\\"10.5\\\"),p.setAttributeNS(null,\\\"cy\\\",\\\"5.80029008\\\"),p.setAttributeNS(null,\\\"rx\\\",h.rx),p.setAttributeNS(null,\\\"ry\\\",h.ry),c.appendChild(p)}var d=r.createNS(\\\"http://www.w3.org/2000/svg\\\",\\\"g\\\");d.setAttributeNS(null,\\\"fill\\\",this._color);var m=r.createNS(\\\"http://www.w3.org/2000/svg\\\",\\\"path\\\");m.setAttributeNS(null,\\\"d\\\",\\\"M27,13.5 C27,19.074644 20.250001,27.000002 14.75,34.500002 C14.016665,35.500004 12.983335,35.500004 12.25,34.500002 C6.7499993,27.000002 0,19.222562 0,13.5 C0,6.0441559 6.0441559,0 13.5,0 C20.955844,0 27,6.0441559 27,13.5 Z\\\"),d.appendChild(m);var g=r.createNS(\\\"http://www.w3.org/2000/svg\\\",\\\"g\\\");g.setAttributeNS(null,\\\"opacity\\\",\\\"0.25\\\"),g.setAttributeNS(null,\\\"fill\\\",\\\"#000000\\\");var v=r.createNS(\\\"http://www.w3.org/2000/svg\\\",\\\"path\\\");v.setAttributeNS(null,\\\"d\\\",\\\"M13.5,0 C6.0441559,0 0,6.0441559 0,13.5 C0,19.222562 6.7499993,27 12.25,34.5 C13,35.522727 14.016664,35.500004 14.75,34.5 C20.250001,27 27,19.074644 27,13.5 C27,6.0441559 20.955844,0 13.5,0 Z M13.5,1 C20.415404,1 26,6.584596 26,13.5 C26,15.898657 24.495584,19.181431 22.220703,22.738281 C19.945823,26.295132 16.705119,30.142167 13.943359,33.908203 C13.743445,34.180814 13.612715,34.322738 13.5,34.441406 C13.387285,34.322738 13.256555,34.180814 13.056641,33.908203 C10.284481,30.127985 7.4148684,26.314159 5.015625,22.773438 C2.6163816,19.232715 1,15.953538 1,13.5 C1,6.584596 6.584596,1 13.5,1 Z\\\"),g.appendChild(v);var y=r.createNS(\\\"http://www.w3.org/2000/svg\\\",\\\"g\\\");y.setAttributeNS(null,\\\"transform\\\",\\\"translate(6.0, 7.0)\\\"),y.setAttributeNS(null,\\\"fill\\\",\\\"#FFFFFF\\\");var x=r.createNS(\\\"http://www.w3.org/2000/svg\\\",\\\"g\\\");x.setAttributeNS(null,\\\"transform\\\",\\\"translate(8.0, 8.0)\\\");var b=r.createNS(\\\"http://www.w3.org/2000/svg\\\",\\\"circle\\\");b.setAttributeNS(null,\\\"fill\\\",\\\"#000000\\\"),b.setAttributeNS(null,\\\"opacity\\\",\\\"0.25\\\"),b.setAttributeNS(null,\\\"cx\\\",\\\"5.5\\\"),b.setAttributeNS(null,\\\"cy\\\",\\\"5.5\\\"),b.setAttributeNS(null,\\\"r\\\",\\\"5.4999962\\\");var _=r.createNS(\\\"http://www.w3.org/2000/svg\\\",\\\"circle\\\");_.setAttributeNS(null,\\\"fill\\\",\\\"#FFFFFF\\\"),_.setAttributeNS(null,\\\"cx\\\",\\\"5.5\\\"),_.setAttributeNS(null,\\\"cy\\\",\\\"5.5\\\"),_.setAttributeNS(null,\\\"r\\\",\\\"5.4999962\\\"),x.appendChild(b),x.appendChild(_),l.appendChild(c),l.appendChild(d),l.appendChild(g),l.appendChild(y),l.appendChild(x),o.appendChild(l),this._element.appendChild(o),this._offset=t.Point.convert(n&&n.offset||[0,-14])}this._element.classList.add(\\\"mapboxgl-marker\\\"),this._element.addEventListener(\\\"dragstart\\\",(function(t){t.preventDefault()})),this._element.addEventListener(\\\"mousedown\\\",(function(t){t.preventDefault()})),this._element.addEventListener(\\\"focus\\\",(function(){var t=a._map.getContainer();t.scrollTop=0,t.scrollLeft=0})),Di(this._element,this._anchor,\\\"marker\\\"),this._popup=null}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.addTo=function(t){return this.remove(),this._map=t,t.getCanvasContainer().appendChild(this._element),t.on(\\\"move\\\",this._update),t.on(\\\"moveend\\\",this._update),this.setDraggable(this._draggable),this._update(),this._map.on(\\\"click\\\",this._onMapClick),this},n.prototype.remove=function(){return this._map&&(this._map.off(\\\"click\\\",this._onMapClick),this._map.off(\\\"move\\\",this._update),this._map.off(\\\"moveend\\\",this._update),this._map.off(\\\"mousedown\\\",this._addDragHandler),this._map.off(\\\"touchstart\\\",this._addDragHandler),this._map.off(\\\"mouseup\\\",this._onUp),this._map.off(\\\"touchend\\\",this._onUp),this._map.off(\\\"mousemove\\\",this._onMove),this._map.off(\\\"touchmove\\\",this._onMove),delete this._map),r.remove(this._element),this._popup&&this._popup.remove(),this},n.prototype.getLngLat=function(){return this._lngLat},n.prototype.setLngLat=function(e){return this._lngLat=t.LngLat.convert(e),this._pos=null,this._popup&&this._popup.setLngLat(this._lngLat),this._update(),this},n.prototype.getElement=function(){return this._element},n.prototype.setPopup=function(t){if(this._popup&&(this._popup.remove(),this._popup=null,this._element.removeEventListener(\\\"keypress\\\",this._onKeyPress),this._originalTabIndex||this._element.removeAttribute(\\\"tabindex\\\")),t){if(!(\\\"offset\\\"in t.options)){var e=Math.sqrt(Math.pow(13.5,2)/2);t.options.offset=this._defaultMarker?{top:[0,0],\\\"top-left\\\":[0,0],\\\"top-right\\\":[0,0],bottom:[0,-38.1],\\\"bottom-left\\\":[e,-1*(24.6+e)],\\\"bottom-right\\\":[-e,-1*(24.6+e)],left:[13.5,-24.6],right:[-13.5,-24.6]}:this._offset}this._popup=t,this._lngLat&&this._popup.setLngLat(this._lngLat),this._originalTabIndex=this._element.getAttribute(\\\"tabindex\\\"),this._originalTabIndex||this._element.setAttribute(\\\"tabindex\\\",\\\"0\\\"),this._element.addEventListener(\\\"keypress\\\",this._onKeyPress)}return this},n.prototype._onKeyPress=function(t){var e=t.code,r=t.charCode||t.keyCode;\\\"Space\\\"!==e&&\\\"Enter\\\"!==e&&32!==r&&13!==r||this.togglePopup()},n.prototype._onMapClick=function(t){var e=t.originalEvent.target,r=this._element;this._popup&&(e===r||r.contains(e))&&this.togglePopup()},n.prototype.getPopup=function(){return this._popup},n.prototype.togglePopup=function(){var t=this._popup;return t?(t.isOpen()?t.remove():t.addTo(this._map),this):this},n.prototype._update=function(t){if(this._map){this._map.transform.renderWorldCopies&&(this._lngLat=Oi(this._lngLat,this._pos,this._map.transform)),this._pos=this._map.project(this._lngLat)._add(this._offset);var e=\\\"\\\";\\\"viewport\\\"===this._rotationAlignment||\\\"auto\\\"===this._rotationAlignment?e=\\\"rotateZ(\\\"+this._rotation+\\\"deg)\\\":\\\"map\\\"===this._rotationAlignment&&(e=\\\"rotateZ(\\\"+(this._rotation-this._map.getBearing())+\\\"deg)\\\");var n=\\\"\\\";\\\"viewport\\\"===this._pitchAlignment||\\\"auto\\\"===this._pitchAlignment?n=\\\"rotateX(0deg)\\\":\\\"map\\\"===this._pitchAlignment&&(n=\\\"rotateX(\\\"+this._map.getPitch()+\\\"deg)\\\"),t&&\\\"moveend\\\"!==t.type||(this._pos=this._pos.round()),r.setTransform(this._element,zi[this._anchor]+\\\" translate(\\\"+this._pos.x+\\\"px, \\\"+this._pos.y+\\\"px) \\\"+n+\\\" \\\"+e)}},n.prototype.getOffset=function(){return this._offset},n.prototype.setOffset=function(e){return this._offset=t.Point.convert(e),this._update(),this},n.prototype._onMove=function(e){this._pos=e.point.sub(this._positionDelta),this._lngLat=this._map.unproject(this._pos),this.setLngLat(this._lngLat),this._element.style.pointerEvents=\\\"none\\\",\\\"pending\\\"===this._state&&(this._state=\\\"active\\\",this.fire(new t.Event(\\\"dragstart\\\"))),this.fire(new t.Event(\\\"drag\\\"))},n.prototype._onUp=function(){this._element.style.pointerEvents=\\\"auto\\\",this._positionDelta=null,this._map.off(\\\"mousemove\\\",this._onMove),this._map.off(\\\"touchmove\\\",this._onMove),\\\"active\\\"===this._state&&this.fire(new t.Event(\\\"dragend\\\")),this._state=\\\"inactive\\\"},n.prototype._addDragHandler=function(t){this._element.contains(t.originalEvent.target)&&(t.preventDefault(),this._positionDelta=t.point.sub(this._pos).add(this._offset),this._state=\\\"pending\\\",this._map.on(\\\"mousemove\\\",this._onMove),this._map.on(\\\"touchmove\\\",this._onMove),this._map.once(\\\"mouseup\\\",this._onUp),this._map.once(\\\"touchend\\\",this._onUp))},n.prototype.setDraggable=function(t){return this._draggable=!!t,this._map&&(t?(this._map.on(\\\"mousedown\\\",this._addDragHandler),this._map.on(\\\"touchstart\\\",this._addDragHandler)):(this._map.off(\\\"mousedown\\\",this._addDragHandler),this._map.off(\\\"touchstart\\\",this._addDragHandler))),this},n.prototype.isDraggable=function(){return this._draggable},n.prototype.setRotation=function(t){return this._rotation=t||0,this._update(),this},n.prototype.getRotation=function(){return this._rotation},n.prototype.setRotationAlignment=function(t){return this._rotationAlignment=t||\\\"auto\\\",this._update(),this},n.prototype.getRotationAlignment=function(){return this._rotationAlignment},n.prototype.setPitchAlignment=function(t){return this._pitchAlignment=t&&\\\"auto\\\"!==t?t:this._rotationAlignment,this._update(),this},n.prototype.getPitchAlignment=function(){return this._pitchAlignment},n}(t.Evented),Bi={positionOptions:{enableHighAccuracy:!1,maximumAge:0,timeout:6e3},fitBoundsOptions:{maxZoom:15},trackUserLocation:!1,showAccuracyCircle:!0,showUserLocation:!0};var Ni=0,ji=!1,Ui=function(e){function n(r){e.call(this),this.options=t.extend({},Bi,r),t.bindAll([\\\"_onSuccess\\\",\\\"_onError\\\",\\\"_onZoom\\\",\\\"_finish\\\",\\\"_setupUI\\\",\\\"_updateCamera\\\",\\\"_updateMarker\\\"],this)}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.onAdd=function(e){var n;return this._map=e,this._container=r.create(\\\"div\\\",\\\"mapboxgl-ctrl mapboxgl-ctrl-group\\\"),n=this._setupUI,void 0!==Ri?n(Ri):void 0!==t.window.navigator.permissions?t.window.navigator.permissions.query({name:\\\"geolocation\\\"}).then((function(t){Ri=\\\"denied\\\"!==t.state,n(Ri)})):(Ri=!!t.window.navigator.geolocation,n(Ri)),this._container},n.prototype.onRemove=function(){void 0!==this._geolocationWatchID&&(t.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0),this.options.showUserLocation&&this._userLocationDotMarker&&this._userLocationDotMarker.remove(),this.options.showAccuracyCircle&&this._accuracyCircleMarker&&this._accuracyCircleMarker.remove(),r.remove(this._container),this._map.off(\\\"zoom\\\",this._onZoom),this._map=void 0,Ni=0,ji=!1},n.prototype._isOutOfMapMaxBounds=function(t){var e=this._map.getMaxBounds(),r=t.coords;return e&&(r.longitude<e.getWest()||r.longitude>e.getEast()||r.latitude<e.getSouth()||r.latitude>e.getNorth())},n.prototype._setErrorState=function(){switch(this._watchState){case\\\"WAITING_ACTIVE\\\":this._watchState=\\\"ACTIVE_ERROR\\\",this._geolocateButton.classList.remove(\\\"mapboxgl-ctrl-geolocate-active\\\"),this._geolocateButton.classList.add(\\\"mapboxgl-ctrl-geolocate-active-error\\\");break;case\\\"ACTIVE_LOCK\\\":this._watchState=\\\"ACTIVE_ERROR\\\",this._geolocateButton.classList.remove(\\\"mapboxgl-ctrl-geolocate-active\\\"),this._geolocateButton.classList.add(\\\"mapboxgl-ctrl-geolocate-active-error\\\"),this._geolocateButton.classList.add(\\\"mapboxgl-ctrl-geolocate-waiting\\\");break;case\\\"BACKGROUND\\\":this._watchState=\\\"BACKGROUND_ERROR\\\",this._geolocateButton.classList.remove(\\\"mapboxgl-ctrl-geolocate-background\\\"),this._geolocateButton.classList.add(\\\"mapboxgl-ctrl-geolocate-background-error\\\"),this._geolocateButton.classList.add(\\\"mapboxgl-ctrl-geolocate-waiting\\\")}},n.prototype._onSuccess=function(e){if(this._map){if(this._isOutOfMapMaxBounds(e))return this._setErrorState(),this.fire(new t.Event(\\\"outofmaxbounds\\\",e)),this._updateMarker(),void this._finish();if(this.options.trackUserLocation)switch(this._lastKnownPosition=e,this._watchState){case\\\"WAITING_ACTIVE\\\":case\\\"ACTIVE_LOCK\\\":case\\\"ACTIVE_ERROR\\\":this._watchState=\\\"ACTIVE_LOCK\\\",this._geolocateButton.classList.remove(\\\"mapboxgl-ctrl-geolocate-waiting\\\"),this._geolocateButton.classList.remove(\\\"mapboxgl-ctrl-geolocate-active-error\\\"),this._geolocateButton.classList.add(\\\"mapboxgl-ctrl-geolocate-active\\\");break;case\\\"BACKGROUND\\\":case\\\"BACKGROUND_ERROR\\\":this._watchState=\\\"BACKGROUND\\\",this._geolocateButton.classList.remove(\\\"mapboxgl-ctrl-geolocate-waiting\\\"),this._geolocateButton.classList.remove(\\\"mapboxgl-ctrl-geolocate-background-error\\\"),this._geolocateButton.classList.add(\\\"mapboxgl-ctrl-geolocate-background\\\")}this.options.showUserLocation&&\\\"OFF\\\"!==this._watchState&&this._updateMarker(e),this.options.trackUserLocation&&\\\"ACTIVE_LOCK\\\"!==this._watchState||this._updateCamera(e),this.options.showUserLocation&&this._dotElement.classList.remove(\\\"mapboxgl-user-location-dot-stale\\\"),this.fire(new t.Event(\\\"geolocate\\\",e)),this._finish()}},n.prototype._updateCamera=function(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude),n=e.coords.accuracy,i=this._map.getBearing(),a=t.extend({bearing:i},this.options.fitBoundsOptions);this._map.fitBounds(r.toBounds(n),a,{geolocateSource:!0})},n.prototype._updateMarker=function(e){if(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude);this._accuracyCircleMarker.setLngLat(r).addTo(this._map),this._userLocationDotMarker.setLngLat(r).addTo(this._map),this._accuracy=e.coords.accuracy,this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()}else this._userLocationDotMarker.remove(),this._accuracyCircleMarker.remove()},n.prototype._updateCircleRadius=function(){var t=this._map._container.clientHeight/2,e=this._map.unproject([0,t]),r=this._map.unproject([1,t]),n=e.distanceTo(r),i=Math.ceil(2*this._accuracy/n);this._circleElement.style.width=i+\\\"px\\\",this._circleElement.style.height=i+\\\"px\\\"},n.prototype._onZoom=function(){this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()},n.prototype._onError=function(e){if(this._map){if(this.options.trackUserLocation)if(1===e.code){this._watchState=\\\"OFF\\\",this._geolocateButton.classList.remove(\\\"mapboxgl-ctrl-geolocate-waiting\\\"),this._geolocateButton.classList.remove(\\\"mapboxgl-ctrl-geolocate-active\\\"),this._geolocateButton.classList.remove(\\\"mapboxgl-ctrl-geolocate-active-error\\\"),this._geolocateButton.classList.remove(\\\"mapboxgl-ctrl-geolocate-background\\\"),this._geolocateButton.classList.remove(\\\"mapboxgl-ctrl-geolocate-background-error\\\"),this._geolocateButton.disabled=!0;var r=this._map._getUIString(\\\"GeolocateControl.LocationNotAvailable\\\");this._geolocateButton.title=r,this._geolocateButton.setAttribute(\\\"aria-label\\\",r),void 0!==this._geolocationWatchID&&this._clearWatch()}else{if(3===e.code&&ji)return;this._setErrorState()}\\\"OFF\\\"!==this._watchState&&this.options.showUserLocation&&this._dotElement.classList.add(\\\"mapboxgl-user-location-dot-stale\\\"),this.fire(new t.Event(\\\"error\\\",e)),this._finish()}},n.prototype._finish=function(){this._timeoutId&&clearTimeout(this._timeoutId),this._timeoutId=void 0},n.prototype._setupUI=function(e){var n=this;if(this._container.addEventListener(\\\"contextmenu\\\",(function(t){return t.preventDefault()})),this._geolocateButton=r.create(\\\"button\\\",\\\"mapboxgl-ctrl-geolocate\\\",this._container),r.create(\\\"span\\\",\\\"mapboxgl-ctrl-icon\\\",this._geolocateButton).setAttribute(\\\"aria-hidden\\\",!0),this._geolocateButton.type=\\\"button\\\",!1===e){t.warnOnce(\\\"Geolocation support is not available so the GeolocateControl will be disabled.\\\");var i=this._map._getUIString(\\\"GeolocateControl.LocationNotAvailable\\\");this._geolocateButton.disabled=!0,this._geolocateButton.title=i,this._geolocateButton.setAttribute(\\\"aria-label\\\",i)}else{var a=this._map._getUIString(\\\"GeolocateControl.FindMyLocation\\\");this._geolocateButton.title=a,this._geolocateButton.setAttribute(\\\"aria-label\\\",a)}this.options.trackUserLocation&&(this._geolocateButton.setAttribute(\\\"aria-pressed\\\",\\\"false\\\"),this._watchState=\\\"OFF\\\"),this.options.showUserLocation&&(this._dotElement=r.create(\\\"div\\\",\\\"mapboxgl-user-location-dot\\\"),this._userLocationDotMarker=new Fi(this._dotElement),this._circleElement=r.create(\\\"div\\\",\\\"mapboxgl-user-location-accuracy-circle\\\"),this._accuracyCircleMarker=new Fi({element:this._circleElement,pitchAlignment:\\\"map\\\"}),this.options.trackUserLocation&&(this._watchState=\\\"OFF\\\"),this._map.on(\\\"zoom\\\",this._onZoom)),this._geolocateButton.addEventListener(\\\"click\\\",this.trigger.bind(this)),this._setup=!0,this.options.trackUserLocation&&this._map.on(\\\"movestart\\\",(function(e){var r=e.originalEvent&&\\\"resize\\\"===e.originalEvent.type;e.geolocateSource||\\\"ACTIVE_LOCK\\\"!==n._watchState||r||(n._watchState=\\\"BACKGROUND\\\",n._geolocateButton.classList.add(\\\"mapboxgl-ctrl-geolocate-background\\\"),n._geolocateButton.classList.remove(\\\"mapboxgl-ctrl-geolocate-active\\\"),n.fire(new t.Event(\\\"trackuserlocationend\\\")))}))},n.prototype.trigger=function(){if(!this._setup)return t.warnOnce(\\\"Geolocate control triggered before added to a map\\\"),!1;if(this.options.trackUserLocation){switch(this._watchState){case\\\"OFF\\\":this._watchState=\\\"WAITING_ACTIVE\\\",this.fire(new t.Event(\\\"trackuserlocationstart\\\"));break;case\\\"WAITING_ACTIVE\\\":case\\\"ACTIVE_LOCK\\\":case\\\"ACTIVE_ERROR\\\":case\\\"BACKGROUND_ERROR\\\":Ni--,ji=!1,this._watchState=\\\"OFF\\\",this._geolocateButton.classList.remove(\\\"mapboxgl-ctrl-geolocate-waiting\\\"),this._geolocateButton.classList.remove(\\\"mapboxgl-ctrl-geolocate-active\\\"),this._geolocateButton.classList.remove(\\\"mapboxgl-ctrl-geolocate-active-error\\\"),this._geolocateButton.classList.remove(\\\"mapboxgl-ctrl-geolocate-background\\\"),this._geolocateButton.classList.remove(\\\"mapboxgl-ctrl-geolocate-background-error\\\"),this.fire(new t.Event(\\\"trackuserlocationend\\\"));break;case\\\"BACKGROUND\\\":this._watchState=\\\"ACTIVE_LOCK\\\",this._geolocateButton.classList.remove(\\\"mapboxgl-ctrl-geolocate-background\\\"),this._lastKnownPosition&&this._updateCamera(this._lastKnownPosition),this.fire(new t.Event(\\\"trackuserlocationstart\\\"))}switch(this._watchState){case\\\"WAITING_ACTIVE\\\":this._geolocateButton.classList.add(\\\"mapboxgl-ctrl-geolocate-waiting\\\"),this._geolocateButton.classList.add(\\\"mapboxgl-ctrl-geolocate-active\\\");break;case\\\"ACTIVE_LOCK\\\":this._geolocateButton.classList.add(\\\"mapboxgl-ctrl-geolocate-active\\\");break;case\\\"ACTIVE_ERROR\\\":this._geolocateButton.classList.add(\\\"mapboxgl-ctrl-geolocate-waiting\\\"),this._geolocateButton.classList.add(\\\"mapboxgl-ctrl-geolocate-active-error\\\");break;case\\\"BACKGROUND\\\":this._geolocateButton.classList.add(\\\"mapboxgl-ctrl-geolocate-background\\\");break;case\\\"BACKGROUND_ERROR\\\":this._geolocateButton.classList.add(\\\"mapboxgl-ctrl-geolocate-waiting\\\"),this._geolocateButton.classList.add(\\\"mapboxgl-ctrl-geolocate-background-error\\\")}if(\\\"OFF\\\"===this._watchState&&void 0!==this._geolocationWatchID)this._clearWatch();else if(void 0===this._geolocationWatchID){var e;this._geolocateButton.classList.add(\\\"mapboxgl-ctrl-geolocate-waiting\\\"),this._geolocateButton.setAttribute(\\\"aria-pressed\\\",\\\"true\\\"),++Ni>1?(e={maximumAge:6e5,timeout:0},ji=!0):(e=this.options.positionOptions,ji=!1),this._geolocationWatchID=t.window.navigator.geolocation.watchPosition(this._onSuccess,this._onError,e)}}else t.window.navigator.geolocation.getCurrentPosition(this._onSuccess,this._onError,this.options.positionOptions),this._timeoutId=setTimeout(this._finish,1e4);return!0},n.prototype._clearWatch=function(){t.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0,this._geolocateButton.classList.remove(\\\"mapboxgl-ctrl-geolocate-waiting\\\"),this._geolocateButton.setAttribute(\\\"aria-pressed\\\",\\\"false\\\"),this.options.showUserLocation&&this._updateMarker(null)},n}(t.Evented),Vi={maxWidth:100,unit:\\\"metric\\\"},qi=function(e){this.options=t.extend({},Vi,e),t.bindAll([\\\"_onMove\\\",\\\"setUnit\\\"],this)};function Hi(t,e,r){var n=r&&r.maxWidth||100,i=t._container.clientHeight/2,a=t.unproject([0,i]),o=t.unproject([n,i]),s=a.distanceTo(o);if(r&&\\\"imperial\\\"===r.unit){var l=3.2808*s;if(l>5280)Gi(e,n,l/5280,t._getUIString(\\\"ScaleControl.Miles\\\"));else Gi(e,n,l,t._getUIString(\\\"ScaleControl.Feet\\\"))}else if(r&&\\\"nautical\\\"===r.unit){Gi(e,n,s/1852,t._getUIString(\\\"ScaleControl.NauticalMiles\\\"))}else s>=1e3?Gi(e,n,s/1e3,t._getUIString(\\\"ScaleControl.Kilometers\\\")):Gi(e,n,s,t._getUIString(\\\"ScaleControl.Meters\\\"))}function Gi(t,e,r,n){var i,a,o,s=(i=r,a=Math.pow(10,(\\\"\\\"+Math.floor(i)).length-1),o=(o=i/a)>=10?10:o>=5?5:o>=3?3:o>=2?2:o>=1?1:function(t){var e=Math.pow(10,Math.ceil(-Math.log(t)/Math.LN10));return Math.round(t*e)/e}(o),a*o),l=s/r;t.style.width=e*l+\\\"px\\\",t.innerHTML=s+\\\"&nbsp;\\\"+n}qi.prototype.getDefaultPosition=function(){return\\\"bottom-left\\\"},qi.prototype._onMove=function(){Hi(this._map,this._container,this.options)},qi.prototype.onAdd=function(t){return this._map=t,this._container=r.create(\\\"div\\\",\\\"mapboxgl-ctrl mapboxgl-ctrl-scale\\\",t.getContainer()),this._map.on(\\\"move\\\",this._onMove),this._onMove(),this._container},qi.prototype.onRemove=function(){r.remove(this._container),this._map.off(\\\"move\\\",this._onMove),this._map=void 0},qi.prototype.setUnit=function(t){this.options.unit=t,Hi(this._map,this._container,this.options)};var Yi=function(e){this._fullscreen=!1,e&&e.container&&(e.container instanceof t.window.HTMLElement?this._container=e.container:t.warnOnce(\\\"Full screen control 'container' must be a DOM element.\\\")),t.bindAll([\\\"_onClickFullscreen\\\",\\\"_changeIcon\\\"],this),\\\"onfullscreenchange\\\"in t.window.document?this._fullscreenchange=\\\"fullscreenchange\\\":\\\"onmozfullscreenchange\\\"in t.window.document?this._fullscreenchange=\\\"mozfullscreenchange\\\":\\\"onwebkitfullscreenchange\\\"in t.window.document?this._fullscreenchange=\\\"webkitfullscreenchange\\\":\\\"onmsfullscreenchange\\\"in t.window.document&&(this._fullscreenchange=\\\"MSFullscreenChange\\\")};Yi.prototype.onAdd=function(e){return this._map=e,this._container||(this._container=this._map.getContainer()),this._controlContainer=r.create(\\\"div\\\",\\\"mapboxgl-ctrl mapboxgl-ctrl-group\\\"),this._checkFullscreenSupport()?this._setupUI():(this._controlContainer.style.display=\\\"none\\\",t.warnOnce(\\\"This device does not support fullscreen mode.\\\")),this._controlContainer},Yi.prototype.onRemove=function(){r.remove(this._controlContainer),this._map=null,t.window.document.removeEventListener(this._fullscreenchange,this._changeIcon)},Yi.prototype._checkFullscreenSupport=function(){return!!(t.window.document.fullscreenEnabled||t.window.document.mozFullScreenEnabled||t.window.document.msFullscreenEnabled||t.window.document.webkitFullscreenEnabled)},Yi.prototype._setupUI=function(){var e=this._fullscreenButton=r.create(\\\"button\\\",\\\"mapboxgl-ctrl-fullscreen\\\",this._controlContainer);r.create(\\\"span\\\",\\\"mapboxgl-ctrl-icon\\\",e).setAttribute(\\\"aria-hidden\\\",!0),e.type=\\\"button\\\",this._updateTitle(),this._fullscreenButton.addEventListener(\\\"click\\\",this._onClickFullscreen),t.window.document.addEventListener(this._fullscreenchange,this._changeIcon)},Yi.prototype._updateTitle=function(){var t=this._getTitle();this._fullscreenButton.setAttribute(\\\"aria-label\\\",t),this._fullscreenButton.title=t},Yi.prototype._getTitle=function(){return this._map._getUIString(this._isFullscreen()?\\\"FullscreenControl.Exit\\\":\\\"FullscreenControl.Enter\\\")},Yi.prototype._isFullscreen=function(){return this._fullscreen},Yi.prototype._changeIcon=function(){(t.window.document.fullscreenElement||t.window.document.mozFullScreenElement||t.window.document.webkitFullscreenElement||t.window.document.msFullscreenElement)===this._container!==this._fullscreen&&(this._fullscreen=!this._fullscreen,this._fullscreenButton.classList.toggle(\\\"mapboxgl-ctrl-shrink\\\"),this._fullscreenButton.classList.toggle(\\\"mapboxgl-ctrl-fullscreen\\\"),this._updateTitle())},Yi.prototype._onClickFullscreen=function(){this._isFullscreen()?t.window.document.exitFullscreen?t.window.document.exitFullscreen():t.window.document.mozCancelFullScreen?t.window.document.mozCancelFullScreen():t.window.document.msExitFullscreen?t.window.document.msExitFullscreen():t.window.document.webkitCancelFullScreen&&t.window.document.webkitCancelFullScreen():this._container.requestFullscreen?this._container.requestFullscreen():this._container.mozRequestFullScreen?this._container.mozRequestFullScreen():this._container.msRequestFullscreen?this._container.msRequestFullscreen():this._container.webkitRequestFullscreen&&this._container.webkitRequestFullscreen()};var Wi={closeButton:!0,closeOnClick:!0,className:\\\"\\\",maxWidth:\\\"240px\\\"},Xi=function(e){function n(r){e.call(this),this.options=t.extend(Object.create(Wi),r),t.bindAll([\\\"_update\\\",\\\"_onClose\\\",\\\"remove\\\",\\\"_onMouseMove\\\",\\\"_onMouseUp\\\",\\\"_onDrag\\\"],this)}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.addTo=function(e){return this._map&&this.remove(),this._map=e,this.options.closeOnClick&&this._map.on(\\\"click\\\",this._onClose),this.options.closeOnMove&&this._map.on(\\\"move\\\",this._onClose),this._map.on(\\\"remove\\\",this.remove),this._update(),this._trackPointer?(this._map.on(\\\"mousemove\\\",this._onMouseMove),this._map.on(\\\"mouseup\\\",this._onMouseUp),this._container&&this._container.classList.add(\\\"mapboxgl-popup-track-pointer\\\"),this._map._canvasContainer.classList.add(\\\"mapboxgl-track-pointer\\\")):this._map.on(\\\"move\\\",this._update),this.fire(new t.Event(\\\"open\\\")),this},n.prototype.isOpen=function(){return!!this._map},n.prototype.remove=function(){return this._content&&r.remove(this._content),this._container&&(r.remove(this._container),delete this._container),this._map&&(this._map.off(\\\"move\\\",this._update),this._map.off(\\\"move\\\",this._onClose),this._map.off(\\\"click\\\",this._onClose),this._map.off(\\\"remove\\\",this.remove),this._map.off(\\\"mousemove\\\",this._onMouseMove),this._map.off(\\\"mouseup\\\",this._onMouseUp),this._map.off(\\\"drag\\\",this._onDrag),delete this._map),this.fire(new t.Event(\\\"close\\\")),this},n.prototype.getLngLat=function(){return this._lngLat},n.prototype.setLngLat=function(e){return this._lngLat=t.LngLat.convert(e),this._pos=null,this._trackPointer=!1,this._update(),this._map&&(this._map.on(\\\"move\\\",this._update),this._map.off(\\\"mousemove\\\",this._onMouseMove),this._container&&this._container.classList.remove(\\\"mapboxgl-popup-track-pointer\\\"),this._map._canvasContainer.classList.remove(\\\"mapboxgl-track-pointer\\\")),this},n.prototype.trackPointer=function(){return this._trackPointer=!0,this._pos=null,this._update(),this._map&&(this._map.off(\\\"move\\\",this._update),this._map.on(\\\"mousemove\\\",this._onMouseMove),this._map.on(\\\"drag\\\",this._onDrag),this._container&&this._container.classList.add(\\\"mapboxgl-popup-track-pointer\\\"),this._map._canvasContainer.classList.add(\\\"mapboxgl-track-pointer\\\")),this},n.prototype.getElement=function(){return this._container},n.prototype.setText=function(e){return this.setDOMContent(t.window.document.createTextNode(e))},n.prototype.setHTML=function(e){var r,n=t.window.document.createDocumentFragment(),i=t.window.document.createElement(\\\"body\\\");for(i.innerHTML=e;r=i.firstChild;)n.appendChild(r);return this.setDOMContent(n)},n.prototype.getMaxWidth=function(){return this._container&&this._container.style.maxWidth},n.prototype.setMaxWidth=function(t){return this.options.maxWidth=t,this._update(),this},n.prototype.setDOMContent=function(t){return this._createContent(),this._content.appendChild(t),this._update(),this},n.prototype.addClassName=function(t){this._container&&this._container.classList.add(t)},n.prototype.removeClassName=function(t){this._container&&this._container.classList.remove(t)},n.prototype.toggleClassName=function(t){if(this._container)return this._container.classList.toggle(t)},n.prototype._createContent=function(){this._content&&r.remove(this._content),this._content=r.create(\\\"div\\\",\\\"mapboxgl-popup-content\\\",this._container),this.options.closeButton&&(this._closeButton=r.create(\\\"button\\\",\\\"mapboxgl-popup-close-button\\\",this._content),this._closeButton.type=\\\"button\\\",this._closeButton.setAttribute(\\\"aria-label\\\",\\\"Close popup\\\"),this._closeButton.innerHTML=\\\"&#215;\\\",this._closeButton.addEventListener(\\\"click\\\",this._onClose))},n.prototype._onMouseUp=function(t){this._update(t.point)},n.prototype._onMouseMove=function(t){this._update(t.point)},n.prototype._onDrag=function(t){this._update(t.point)},n.prototype._update=function(e){var n=this,i=this._lngLat||this._trackPointer;if(this._map&&i&&this._content&&(this._container||(this._container=r.create(\\\"div\\\",\\\"mapboxgl-popup\\\",this._map.getContainer()),this._tip=r.create(\\\"div\\\",\\\"mapboxgl-popup-tip\\\",this._container),this._container.appendChild(this._content),this.options.className&&this.options.className.split(\\\" \\\").forEach((function(t){return n._container.classList.add(t)})),this._trackPointer&&this._container.classList.add(\\\"mapboxgl-popup-track-pointer\\\")),this.options.maxWidth&&this._container.style.maxWidth!==this.options.maxWidth&&(this._container.style.maxWidth=this.options.maxWidth),this._map.transform.renderWorldCopies&&!this._trackPointer&&(this._lngLat=Oi(this._lngLat,this._pos,this._map.transform)),!this._trackPointer||e)){var a=this._pos=this._trackPointer&&e?e:this._map.project(this._lngLat),o=this.options.anchor,s=function e(r){if(r){if(\\\"number\\\"==typeof r){var n=Math.round(Math.sqrt(.5*Math.pow(r,2)));return{center:new t.Point(0,0),top:new t.Point(0,r),\\\"top-left\\\":new t.Point(n,n),\\\"top-right\\\":new t.Point(-n,n),bottom:new t.Point(0,-r),\\\"bottom-left\\\":new t.Point(n,-n),\\\"bottom-right\\\":new t.Point(-n,-n),left:new t.Point(r,0),right:new t.Point(-r,0)}}if(r instanceof t.Point||Array.isArray(r)){var i=t.Point.convert(r);return{center:i,top:i,\\\"top-left\\\":i,\\\"top-right\\\":i,bottom:i,\\\"bottom-left\\\":i,\\\"bottom-right\\\":i,left:i,right:i}}return{center:t.Point.convert(r.center||[0,0]),top:t.Point.convert(r.top||[0,0]),\\\"top-left\\\":t.Point.convert(r[\\\"top-left\\\"]||[0,0]),\\\"top-right\\\":t.Point.convert(r[\\\"top-right\\\"]||[0,0]),bottom:t.Point.convert(r.bottom||[0,0]),\\\"bottom-left\\\":t.Point.convert(r[\\\"bottom-left\\\"]||[0,0]),\\\"bottom-right\\\":t.Point.convert(r[\\\"bottom-right\\\"]||[0,0]),left:t.Point.convert(r.left||[0,0]),right:t.Point.convert(r.right||[0,0])}}return e(new t.Point(0,0))}(this.options.offset);if(!o){var l,c=this._container.offsetWidth,u=this._container.offsetHeight;l=a.y+s.bottom.y<u?[\\\"top\\\"]:a.y>this._map.transform.height-u?[\\\"bottom\\\"]:[],a.x<c/2?l.push(\\\"left\\\"):a.x>this._map.transform.width-c/2&&l.push(\\\"right\\\"),o=0===l.length?\\\"bottom\\\":l.join(\\\"-\\\")}var f=a.add(s[o]).round();r.setTransform(this._container,zi[o]+\\\" translate(\\\"+f.x+\\\"px,\\\"+f.y+\\\"px)\\\"),Di(this._container,o,\\\"popup\\\")}},n.prototype._onClose=function(){this.remove()},n}(t.Evented);var Zi={version:t.version,supported:e,setRTLTextPlugin:t.setRTLTextPlugin,getRTLTextPluginStatus:t.getRTLTextPluginStatus,Map:Ei,NavigationControl:Pi,GeolocateControl:Ui,AttributionControl:bi,ScaleControl:qi,FullscreenControl:Yi,Popup:Xi,Marker:Fi,Style:He,LngLat:t.LngLat,LngLatBounds:t.LngLatBounds,Point:t.Point,MercatorCoordinate:t.MercatorCoordinate,Evented:t.Evented,config:t.config,prewarm:function(){Bt().acquire(zt)},clearPrewarmedResources:function(){var t=Rt;t&&(t.isPreloaded()&&1===t.numActive()?(t.release(zt),Rt=null):console.warn(\\\"Could not clear WebWorkers since there are active Map instances that still reference it. The pre-warmed WebWorker pool can only be cleared when all map instances have been removed with map.remove()\\\"))},get accessToken(){return t.config.ACCESS_TOKEN},set accessToken(e){t.config.ACCESS_TOKEN=e},get baseApiUrl(){return t.config.API_URL},set baseApiUrl(e){t.config.API_URL=e},get workerCount(){return Dt.workerCount},set workerCount(t){Dt.workerCount=t},get maxParallelImageRequests(){return t.config.MAX_PARALLEL_IMAGE_REQUESTS},set maxParallelImageRequests(e){t.config.MAX_PARALLEL_IMAGE_REQUESTS=e},clearStorage:function(e){t.clearTileCache(e)},workerUrl:\\\"\\\"};return Zi})),r}))},{}],454:[function(t,e,r){\\\"use strict\\\";e.exports=function(t){for(var e=1<<t+1,r=new Array(e),n=0;n<e;++n)r[n]=a(t,n);return r};var n=t(\\\"convex-hull\\\");function i(t,e,r){for(var n=new Array(t),i=0;i<t;++i)n[i]=0,i===e&&(n[i]+=.5),i===r&&(n[i]+=.5);return n}function a(t,e){if(0===e||e===(1<<t+1)-1)return[];for(var r=[],a=[],o=0;o<=t;++o)if(e&1<<o){r.push(i(t,o-1,o-1)),a.push(null);for(var s=0;s<=t;++s)~e&1<<s&&(r.push(i(t,o-1,s-1)),a.push([o,s]))}var l=n(r),c=[];t:for(o=0;o<l.length;++o){var u=l[o],f=[];for(s=0;s<u.length;++s){if(!a[u[s]])continue t;f.push(a[u[s]].slice())}c.push(f)}return c}},{\\\"convex-hull\\\":137}],455:[function(t,e,r){var n=t(\\\"./normalize\\\"),i=t(\\\"gl-mat4/create\\\"),a=t(\\\"gl-mat4/clone\\\"),o=t(\\\"gl-mat4/determinant\\\"),s=t(\\\"gl-mat4/invert\\\"),l=t(\\\"gl-mat4/transpose\\\"),c={length:t(\\\"gl-vec3/length\\\"),normalize:t(\\\"gl-vec3/normalize\\\"),dot:t(\\\"gl-vec3/dot\\\"),cross:t(\\\"gl-vec3/cross\\\")},u=i(),f=i(),h=[0,0,0,0],p=[[0,0,0],[0,0,0],[0,0,0]],d=[0,0,0];function m(t,e,r,n,i){t[0]=e[0]*n+r[0]*i,t[1]=e[1]*n+r[1]*i,t[2]=e[2]*n+r[2]*i}e.exports=function(t,e,r,i,g,v){if(e||(e=[0,0,0]),r||(r=[0,0,0]),i||(i=[0,0,0]),g||(g=[0,0,0,1]),v||(v=[0,0,0,1]),!n(u,t))return!1;if(a(f,u),f[3]=0,f[7]=0,f[11]=0,f[15]=1,Math.abs(o(f)<1e-8))return!1;var y,x,b,_,w,T,k,M=u[3],A=u[7],S=u[11],E=u[12],L=u[13],C=u[14],P=u[15];if(0!==M||0!==A||0!==S){if(h[0]=M,h[1]=A,h[2]=S,h[3]=P,!s(f,f))return!1;l(f,f),y=g,b=f,_=(x=h)[0],w=x[1],T=x[2],k=x[3],y[0]=b[0]*_+b[4]*w+b[8]*T+b[12]*k,y[1]=b[1]*_+b[5]*w+b[9]*T+b[13]*k,y[2]=b[2]*_+b[6]*w+b[10]*T+b[14]*k,y[3]=b[3]*_+b[7]*w+b[11]*T+b[15]*k}else g[0]=g[1]=g[2]=0,g[3]=1;if(e[0]=E,e[1]=L,e[2]=C,function(t,e){t[0][0]=e[0],t[0][1]=e[1],t[0][2]=e[2],t[1][0]=e[4],t[1][1]=e[5],t[1][2]=e[6],t[2][0]=e[8],t[2][1]=e[9],t[2][2]=e[10]}(p,u),r[0]=c.length(p[0]),c.normalize(p[0],p[0]),i[0]=c.dot(p[0],p[1]),m(p[1],p[1],p[0],1,-i[0]),r[1]=c.length(p[1]),c.normalize(p[1],p[1]),i[0]/=r[1],i[1]=c.dot(p[0],p[2]),m(p[2],p[2],p[0],1,-i[1]),i[2]=c.dot(p[1],p[2]),m(p[2],p[2],p[1],1,-i[2]),r[2]=c.length(p[2]),c.normalize(p[2],p[2]),i[1]/=r[2],i[2]/=r[2],c.cross(d,p[1],p[2]),c.dot(p[0],d)<0)for(var I=0;I<3;I++)r[I]*=-1,p[I][0]*=-1,p[I][1]*=-1,p[I][2]*=-1;return v[0]=.5*Math.sqrt(Math.max(1+p[0][0]-p[1][1]-p[2][2],0)),v[1]=.5*Math.sqrt(Math.max(1-p[0][0]+p[1][1]-p[2][2],0)),v[2]=.5*Math.sqrt(Math.max(1-p[0][0]-p[1][1]+p[2][2],0)),v[3]=.5*Math.sqrt(Math.max(1+p[0][0]+p[1][1]+p[2][2],0)),p[2][1]>p[1][2]&&(v[0]=-v[0]),p[0][2]>p[2][0]&&(v[1]=-v[1]),p[1][0]>p[0][1]&&(v[2]=-v[2]),!0}},{\\\"./normalize\\\":456,\\\"gl-mat4/clone\\\":276,\\\"gl-mat4/create\\\":278,\\\"gl-mat4/determinant\\\":279,\\\"gl-mat4/invert\\\":291,\\\"gl-mat4/transpose\\\":304,\\\"gl-vec3/cross\\\":360,\\\"gl-vec3/dot\\\":365,\\\"gl-vec3/length\\\":375,\\\"gl-vec3/normalize\\\":382}],456:[function(t,e,r){e.exports=function(t,e){var r=e[15];if(0===r)return!1;for(var n=1/r,i=0;i<16;i++)t[i]=e[i]*n;return!0}},{}],457:[function(t,e,r){var n=t(\\\"gl-vec3/lerp\\\"),i=t(\\\"mat4-recompose\\\"),a=t(\\\"mat4-decompose\\\"),o=t(\\\"gl-mat4/determinant\\\"),s=t(\\\"quat-slerp\\\"),l=f(),c=f(),u=f();function f(){return{translate:h(),scale:h(1),skew:h(),perspective:[0,0,0,1],quaternion:[0,0,0,1]}}function h(t){return[t||0,t||0,t||0]}e.exports=function(t,e,r,f){if(0===o(e)||0===o(r))return!1;var h=a(e,l.translate,l.scale,l.skew,l.perspective,l.quaternion),p=a(r,c.translate,c.scale,c.skew,c.perspective,c.quaternion);return!(!h||!p)&&(n(u.translate,l.translate,c.translate,f),n(u.skew,l.skew,c.skew,f),n(u.scale,l.scale,c.scale,f),n(u.perspective,l.perspective,c.perspective,f),s(u.quaternion,l.quaternion,c.quaternion,f),i(t,u.translate,u.scale,u.skew,u.perspective,u.quaternion),!0)}},{\\\"gl-mat4/determinant\\\":279,\\\"gl-vec3/lerp\\\":376,\\\"mat4-decompose\\\":455,\\\"mat4-recompose\\\":458,\\\"quat-slerp\\\":521}],458:[function(t,e,r){var n={identity:t(\\\"gl-mat4/identity\\\"),translate:t(\\\"gl-mat4/translate\\\"),multiply:t(\\\"gl-mat4/multiply\\\"),create:t(\\\"gl-mat4/create\\\"),scale:t(\\\"gl-mat4/scale\\\"),fromRotationTranslation:t(\\\"gl-mat4/fromRotationTranslation\\\")},i=(n.create(),n.create());e.exports=function(t,e,r,a,o,s){return n.identity(t),n.fromRotationTranslation(t,s,e),t[3]=o[0],t[7]=o[1],t[11]=o[2],t[15]=o[3],n.identity(i),0!==a[2]&&(i[9]=a[2],n.multiply(t,t,i)),0!==a[1]&&(i[9]=0,i[8]=a[1],n.multiply(t,t,i)),0!==a[0]&&(i[8]=0,i[4]=a[0],n.multiply(t,t,i)),n.scale(t,t,r),t}},{\\\"gl-mat4/create\\\":278,\\\"gl-mat4/fromRotationTranslation\\\":282,\\\"gl-mat4/identity\\\":289,\\\"gl-mat4/multiply\\\":293,\\\"gl-mat4/scale\\\":301,\\\"gl-mat4/translate\\\":303}],459:[function(t,e,r){\\\"use strict\\\";e.exports=Math.log2||function(t){return Math.log(t)*Math.LOG2E}},{}],460:[function(t,e,r){\\\"use strict\\\";var n=t(\\\"binary-search-bounds\\\"),i=t(\\\"mat4-interpolate\\\"),a=t(\\\"gl-mat4/invert\\\"),o=t(\\\"gl-mat4/rotateX\\\"),s=t(\\\"gl-mat4/rotateY\\\"),l=t(\\\"gl-mat4/rotateZ\\\"),c=t(\\\"gl-mat4/lookAt\\\"),u=t(\\\"gl-mat4/translate\\\"),f=(t(\\\"gl-mat4/scale\\\"),t(\\\"gl-vec3/normalize\\\")),h=[0,0,0];function p(t){this._components=t.slice(),this._time=[0],this.prevMatrix=t.slice(),this.nextMatrix=t.slice(),this.computedMatrix=t.slice(),this.computedInverse=t.slice(),this.computedEye=[0,0,0],this.computedUp=[0,0,0],this.computedCenter=[0,0,0],this.computedRadius=[0],this._limits=[-1/0,1/0]}e.exports=function(t){return new p((t=t||{}).matrix||[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1])};var d=p.prototype;d.recalcMatrix=function(t){var e=this._time,r=n.le(e,t),o=this.computedMatrix;if(!(r<0)){var s=this._components;if(r===e.length-1)for(var l=16*r,c=0;c<16;++c)o[c]=s[l++];else{var u=e[r+1]-e[r],h=(l=16*r,this.prevMatrix),p=!0;for(c=0;c<16;++c)h[c]=s[l++];var d=this.nextMatrix;for(c=0;c<16;++c)d[c]=s[l++],p=p&&h[c]===d[c];if(u<1e-6||p)for(c=0;c<16;++c)o[c]=h[c];else i(o,h,d,(t-e[r])/u)}var m=this.computedUp;m[0]=o[1],m[1]=o[5],m[2]=o[9],f(m,m);var g=this.computedInverse;a(g,o);var v=this.computedEye,y=g[15];v[0]=g[12]/y,v[1]=g[13]/y,v[2]=g[14]/y;var x=this.computedCenter,b=Math.exp(this.computedRadius[0]);for(c=0;c<3;++c)x[c]=v[c]-o[2+4*c]*b}},d.idle=function(t){if(!(t<this.lastT())){for(var e=this._components,r=e.length-16,n=0;n<16;++n)e.push(e[r++]);this._time.push(t)}},d.flush=function(t){var e=n.gt(this._time,t)-2;e<0||(this._time.splice(0,e),this._components.splice(0,16*e))},d.lastT=function(){return this._time[this._time.length-1]},d.lookAt=function(t,e,r,n){this.recalcMatrix(t),e=e||this.computedEye,r=r||h,n=n||this.computedUp,this.setMatrix(t,c(this.computedMatrix,e,r,n));for(var i=0,a=0;a<3;++a)i+=Math.pow(r[a]-e[a],2);i=Math.log(Math.sqrt(i)),this.computedRadius[0]=i},d.rotate=function(t,e,r,n){this.recalcMatrix(t);var i=this.computedInverse;e&&s(i,i,e),r&&o(i,i,r),n&&l(i,i,n),this.setMatrix(t,a(this.computedMatrix,i))};var m=[0,0,0];d.pan=function(t,e,r,n){m[0]=-(e||0),m[1]=-(r||0),m[2]=-(n||0),this.recalcMatrix(t);var i=this.computedInverse;u(i,i,m),this.setMatrix(t,a(i,i))},d.translate=function(t,e,r,n){m[0]=e||0,m[1]=r||0,m[2]=n||0,this.recalcMatrix(t);var i=this.computedMatrix;u(i,i,m),this.setMatrix(t,i)},d.setMatrix=function(t,e){if(!(t<this.lastT())){this._time.push(t);for(var r=0;r<16;++r)this._components.push(e[r])}},d.setDistance=function(t,e){this.computedRadius[0]=e},d.setDistanceLimits=function(t,e){var r=this._limits;r[0]=t,r[1]=e},d.getDistanceLimits=function(t){var e=this._limits;return t?(t[0]=e[0],t[1]=e[1],t):e}},{\\\"binary-search-bounds\\\":99,\\\"gl-mat4/invert\\\":291,\\\"gl-mat4/lookAt\\\":292,\\\"gl-mat4/rotateX\\\":298,\\\"gl-mat4/rotateY\\\":299,\\\"gl-mat4/rotateZ\\\":300,\\\"gl-mat4/scale\\\":301,\\\"gl-mat4/translate\\\":303,\\\"gl-vec3/normalize\\\":382,\\\"mat4-interpolate\\\":457}],461:[function(t,e,r){\\\"use strict\\\";e.exports=function(t){var e=t.length;if(e<3){for(var r=new Array(e),i=0;i<e;++i)r[i]=i;return 2===e&&t[0][0]===t[1][0]&&t[0][1]===t[1][1]?[0]:r}var a=new Array(e);for(i=0;i<e;++i)a[i]=i;a.sort((function(e,r){var n=t[e][0]-t[r][0];return n||t[e][1]-t[r][1]}));var o=[a[0],a[1]],s=[a[0],a[1]];for(i=2;i<e;++i){for(var l=a[i],c=t[l],u=o.length;u>1&&n(t[o[u-2]],t[o[u-1]],c)<=0;)u-=1,o.pop();for(o.push(l),u=s.length;u>1&&n(t[s[u-2]],t[s[u-1]],c)>=0;)u-=1,s.pop();s.push(l)}r=new Array(s.length+o.length-2);for(var f=0,h=(i=0,o.length);i<h;++i)r[f++]=o[i];for(var p=s.length-2;p>0;--p)r[f++]=s[p];return r};var 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y.seg.otherFill=h.seg.myFill;r&&r.segmentUpdate(y.seg),h.other.remove(),h.remove()}if(a.getHead()!==h){r&&r.rewind(h.seg);continue}if(t)x=null===h.seg.myFill.below||h.seg.myFill.above!==h.seg.myFill.below,h.seg.myFill.below=m?m.seg.myFill.above:i,h.seg.myFill.above=x?!h.seg.myFill.below:h.seg.myFill.below;else if(null===h.seg.otherFill)v=m?h.primary===m.primary?m.seg.otherFill.above:m.seg.myFill.above:h.primary?o:i,h.seg.otherFill={above:v,below:v};r&&r.status(h.seg,!!d&&d.seg,!!m&&m.seg),h.other.status=p.insert(n.node({ev:h}))}else{var b=h.status;if(null===b)throw new Error(\\\"PolyBool: Zero-length segment detected; your epsilon is probably too small or too large\\\");if(s.exists(b.prev)&&s.exists(b.next)&&u(b.prev.ev,b.next.ev),r&&r.statusRemove(b.ev.seg),b.remove(),!h.primary){var _=h.seg.myFill;h.seg.myFill=h.seg.otherFill,h.seg.otherFill=_}f.push(h.seg)}a.getHead().remove()}return r&&r.done(),f}return t?{addRegion:function(t){for(var n,i,a,o=t[t.length-1],l=0;l<t.length;l++){n=o,o=t[l];var c=e.pointsCompare(n,o);0!==c&&s((i=c<0?n:o,a=c<0?o:n,{id:r?r.segmentId():-1,start:i,end:a,myFill:{above:null,below:null},otherFill:null}),!0)}},calculate:function(t){return c(t,!1)}}:{calculate:function(t,e,r,n){return t.forEach((function(t){s(i(t.start,t.end,t),!0)})),r.forEach((function(t){s(i(t.start,t.end,t),!1)})),c(e,n)}}}},{\\\"./linked-list\\\":501}],501:[function(t,e,r){e.exports={create:function(){var t={root:{root:!0,next:null},exists:function(e){return null!==e&&e!==t.root},isEmpty:function(){return null===t.root.next},getHead:function(){return t.root.next},insertBefore:function(e,r){for(var n=t.root,i=t.root.next;null!==i;){if(r(i))return e.prev=i.prev,e.next=i,i.prev.next=e,void(i.prev=e);n=i,i=i.next}n.next=e,e.prev=n,e.next=null},findTransition:function(e){for(var r=t.root,n=t.root.next;null!==n&&!e(n);)r=n,n=n.next;return{before:r===t.root?null:r,after:n,insert:function(t){return t.prev=r,t.next=n,r.next=t,null!==n&&(n.prev=t),t}}}};return t},node:function(t){return t.prev=null,t.next=null,t.remove=function(){t.prev.next=t.next,t.next&&(t.next.prev=t.prev),t.prev=null,t.next=null},t}}},{}],502:[function(t,e,r){e.exports=function(t,e,r){var n=[],i=[];return t.forEach((function(t){var a=t.start,o=t.end;if(e.pointsSame(a,o))console.warn(\\\"PolyBool: Warning: Zero-length segment detected; your epsilon is probably too small or too large\\\");else{r&&r.chainStart(t);for(var s={index:0,matches_head:!1,matches_pt1:!1},l={index:0,matches_head:!1,matches_pt1:!1},c=s,u=0;u<n.length;u++){var f=(g=n[u])[0],h=(g[1],g[g.length-1]);g[g.length-2];if(e.pointsSame(f,a)){if(k(u,!0,!0))break}else if(e.pointsSame(f,o)){if(k(u,!0,!1))break}else if(e.pointsSame(h,a)){if(k(u,!1,!0))break}else if(e.pointsSame(h,o)&&k(u,!1,!1))break}if(c===s)return n.push([a,o]),void(r&&r.chainNew(a,o));if(c===l){r&&r.chainMatch(s.index);var p=s.index,d=s.matches_pt1?o:a,m=s.matches_head,g=n[p],v=m?g[0]:g[g.length-1],y=m?g[1]:g[g.length-2],x=m?g[g.length-1]:g[0],b=m?g[g.length-2]:g[1];return e.pointsCollinear(y,v,d)&&(m?(r&&r.chainRemoveHead(s.index,d),g.shift()):(r&&r.chainRemoveTail(s.index,d),g.pop()),v=y),e.pointsSame(x,d)?(n.splice(p,1),e.pointsCollinear(b,x,v)&&(m?(r&&r.chainRemoveTail(s.index,v),g.pop()):(r&&r.chainRemoveHead(s.index,v),g.shift())),r&&r.chainClose(s.index),void i.push(g)):void(m?(r&&r.chainAddHead(s.index,d),g.unshift(d)):(r&&r.chainAddTail(s.index,d),g.push(d)))}var _=s.index,w=l.index;r&&r.chainConnect(_,w);var T=n[_].length<n[w].length;s.matches_head?l.matches_head?T?(M(_),A(_,w)):(M(w),A(w,_)):A(w,_):l.matches_head?A(_,w):T?(M(_),A(w,_)):(M(w),A(_,w))}function k(t,e,r){return c.index=t,c.matches_head=e,c.matches_pt1=r,c===s?(c=l,!1):(c=null,!0)}function M(t){r&&r.chainReverse(t),n[t].reverse()}function A(t,i){var a=n[t],o=n[i],s=a[a.length-1],l=a[a.length-2],c=o[0],u=o[1];e.pointsCollinear(l,s,c)&&(r&&r.chainRemoveTail(t,s),a.pop(),s=l),e.pointsCollinear(s,c,u)&&(r&&r.chainRemoveHead(i,c),o.shift()),r&&r.chainJoin(t,i),n[t]=a.concat(o),n.splice(i,1)}})),i}},{}],503:[function(t,e,r){function n(t,e,r){var n=[];return t.forEach((function(t){var i=(t.myFill.above?8:0)+(t.myFill.below?4:0)+(t.otherFill&&t.otherFill.above?2:0)+(t.otherFill&&t.otherFill.below?1:0);0!==e[i]&&n.push({id:r?r.segmentId():-1,start:t.start,end:t.end,myFill:{above:1===e[i],below:2===e[i]},otherFill:null})})),r&&r.selected(n),n}var i={union:function(t,e){return n(t,[0,2,1,0,2,2,0,0,1,0,1,0,0,0,0,0],e)},intersect:function(t,e){return n(t,[0,0,0,0,0,2,0,2,0,0,1,1,0,2,1,0],e)},difference:function(t,e){return n(t,[0,0,0,0,2,0,2,0,1,1,0,0,0,1,2,0],e)},differenceRev:function(t,e){return n(t,[0,2,1,0,0,0,1,1,0,2,0,2,0,0,0,0],e)},xor:function(t,e){return n(t,[0,2,1,0,2,0,0,1,1,0,0,2,0,1,2,0],e)}};e.exports=i},{}],504:[function(t,e,r){\\\"use strict\\\";var n=new Float64Array(4),i=new Float64Array(4),a=new Float64Array(4);e.exports=function(t,e,r,o,s){n.length<o.length&&(n=new Float64Array(o.length),i=new Float64Array(o.length),a=new Float64Array(o.length));for(var l=0;l<o.length;++l)n[l]=t[l]-o[l],i[l]=e[l]-t[l],a[l]=r[l]-t[l];var c=0,u=0,f=0,h=0,p=0,d=0;for(l=0;l<o.length;++l){var m=i[l],g=a[l],v=n[l];c+=m*m,u+=m*g,f+=g*g,h+=v*m,p+=v*g,d+=v*v}var y,x,b,_,w,T=Math.abs(c*f-u*u),k=u*p-f*h,M=u*h-c*p;if(k+M<=T)if(k<0)M<0&&h<0?(M=0,-h>=c?(k=1,y=c+2*h+d):y=h*(k=-h/c)+d):(k=0,p>=0?(M=0,y=d):-p>=f?(M=1,y=f+2*p+d):y=p*(M=-p/f)+d);else if(M<0)M=0,h>=0?(k=0,y=d):-h>=c?(k=1,y=c+2*h+d):y=h*(k=-h/c)+d;else{var A=1/T;y=(k*=A)*(c*k+u*(M*=A)+2*h)+M*(u*k+f*M+2*p)+d}else k<0?(b=f+p)>(x=u+h)?(_=b-x)>=(w=c-2*u+f)?(k=1,M=0,y=c+2*h+d):y=(k=_/w)*(c*k+u*(M=1-k)+2*h)+M*(u*k+f*M+2*p)+d:(k=0,b<=0?(M=1,y=f+2*p+d):p>=0?(M=0,y=d):y=p*(M=-p/f)+d):M<0?(b=c+h)>(x=u+p)?(_=b-x)>=(w=c-2*u+f)?(M=1,k=0,y=f+2*p+d):y=(k=1-(M=_/w))*(c*k+u*M+2*h)+M*(u*k+f*M+2*p)+d:(M=0,b<=0?(k=1,y=c+2*h+d):h>=0?(k=0,y=d):y=h*(k=-h/c)+d):(_=f+p-u-h)<=0?(k=0,M=1,y=f+2*p+d):_>=(w=c-2*u+f)?(k=1,M=0,y=c+2*h+d):y=(k=_/w)*(c*k+u*(M=1-k)+2*h)+M*(u*k+f*M+2*p)+d;var S=1-k-M;for(l=0;l<o.length;++l)s[l]=S*t[l]+k*e[l]+M*r[l];return y<0?0:y}},{}],505:[function(t,e,r){\\\"use strict\\\";var n=t(\\\"stream\\\").Transform,i=t(\\\"stream-parser\\\");function a(){n.call(this,{readableObjectMode:!0})}function o(t,e,r){Error.call(this),Error.captureStackTrace(this,this.constructor),this.name=this.constructor.name,this.message=t,e&&(this.code=e),r&&(this.statusCode=r)}a.prototype=Object.create(n.prototype),a.prototype.constructor=a,i(a.prototype),r.ParserStream=a,r.sliceEq=function(t,e,r){for(var n=e,i=0;i<r.length;)if(t[n++]!==r[i++])return!1;return!0},r.str2arr=function(t,e){var r=[],n=0;if(e&&\\\"hex\\\"===e)for(;n<t.length;)r.push(parseInt(t.slice(n,n+2),16)),n+=2;else for(;n<t.length;n++)r.push(255&t.charCodeAt(n));return r},r.readUInt16LE=function(t,e){return t[e]|t[e+1]<<8},r.readUInt16BE=function(t,e){return t[e+1]|t[e]<<8},r.readUInt32LE=function(t,e){return t[e]|t[e+1]<<8|t[e+2]<<16|16777216*t[e+3]},r.readUInt32BE=function(t,e){return t[e+3]|t[e+2]<<8|t[e+1]<<16|16777216*t[e]},o.prototype=Object.create(Error.prototype),o.prototype.constructor=o,r.ProbeError=o},{stream:561,\\\"stream-parser\\\":577}],506:[function(t,e,r){\\\"use strict\\\";function n(t,e){var r=new Error(t);return r.code=e,r}function i(t){try{return decodeURIComponent(escape(t))}catch(e){return t}}function a(t,e,r){this.input=t.subarray(e,r),this.start=e;var i=String.fromCharCode.apply(null,this.input.subarray(0,4));if(\\\"II*\\\\0\\\"!==i&&\\\"MM\\\\0*\\\"!==i)throw n(\\\"invalid TIFF signature\\\",\\\"EBADDATA\\\");this.big_endian=\\\"M\\\"===i[0]}a.prototype.each=function(t){this.aborted=!1;var e=this.read_uint32(4);for(this.ifds_to_read=[{id:0,offset:e}];this.ifds_to_read.length>0&&!this.aborted;){var r=this.ifds_to_read.shift();r.offset&&this.scan_ifd(r.id,r.offset,t)}},a.prototype.read_uint16=function(t){var e=this.input;if(t+2>e.length)throw n(\\\"unexpected EOF\\\",\\\"EBADDATA\\\");return this.big_endian?256*e[t]+e[t+1]:e[t]+256*e[t+1]},a.prototype.read_uint32=function(t){var e=this.input;if(t+4>e.length)throw n(\\\"unexpected EOF\\\",\\\"EBADDATA\\\");return this.big_endian?16777216*e[t]+65536*e[t+1]+256*e[t+2]+e[t+3]:e[t]+256*e[t+1]+65536*e[t+2]+16777216*e[t+3]},a.prototype.is_subifd_link=function(t,e){return 0===t&&34665===e||0===t&&34853===e||34665===t&&40965===e},a.prototype.exif_format_length=function(t){switch(t){case 1:case 2:case 6:case 7:return 1;case 3:case 8:return 2;case 4:case 9:case 11:return 4;case 5:case 10:case 12:return 8;default:return 0}},a.prototype.exif_format_read=function(t,e){var r;switch(t){case 1:case 2:return r=this.input[e];case 6:return(r=this.input[e])|33554430*(128&r);case 3:return r=this.read_uint16(e);case 8:return(r=this.read_uint16(e))|131070*(32768&r);case 4:return r=this.read_uint32(e);case 9:return 0|(r=this.read_uint32(e));case 5:case 10:case 11:case 12:case 7:default:return null}},a.prototype.scan_ifd=function(t,e,r){var a=this.read_uint16(e);e+=2;for(var o=0;o<a;o++){var s=this.read_uint16(e),l=this.read_uint16(e+2),c=this.read_uint32(e+4),u=this.exif_format_length(l),f=c*u,h=f<=4?e+8:this.read_uint32(e+8),p=!1;if(h+f>this.input.length)throw n(\\\"unexpected EOF\\\",\\\"EBADDATA\\\");for(var d=[],m=h,g=0;g<c;g++,m+=u){var v=this.exif_format_read(l,m);if(null===v){d=null;break}d.push(v)}if(Array.isArray(d)&&2===l&&(d=i(String.fromCharCode.apply(null,d)))&&\\\"\\\\0\\\"===d[d.length-1]&&(d=d.slice(0,-1)),this.is_subifd_link(t,s)&&Array.isArray(d)&&Number.isInteger(d[0])&&d[0]>0&&(this.ifds_to_read.push({id:s,offset:d[0]}),p=!0),!1===r({is_big_endian:this.big_endian,ifd:t,tag:s,format:l,count:c,entry_offset:e+this.start,data_length:f,data_offset:h+this.start,value:d,is_subifd_link:p}))return void(this.aborted=!0);e+=12}0===t&&this.ifds_to_read.push({id:1,offset:this.read_uint32(e)})},e.exports.ExifParser=a,e.exports.get_orientation=function(t){var e=0;try{return new a(t,0,t.length).each((function(t){if(0===t.ifd&&274===t.tag&&Array.isArray(t.value))return e=t.value[0],!1})),e}catch(t){return-1}}},{}],507:[function(t,e,r){\\\"use strict\\\";var n=t(\\\"./common\\\").readUInt16BE,i=t(\\\"./common\\\").readUInt32BE;function a(t,e){if(t.length<4+e)return null;var r=i(t,e);return t.length<r+e||r<8?null:{boxtype:String.fromCharCode.apply(null,t.slice(e+4,e+8)),data:t.slice(e+8,e+r),end:e+r}}function o(t,e){for(var r=0;;){var n=a(t,r);if(!n)break;switch(n.boxtype){case\\\"ispe\\\":e.sizes.push({width:i(n.data,4),height:i(n.data,8)});break;case\\\"irot\\\":e.transforms.push({type:\\\"irot\\\",value:3&n.data[0]});break;case\\\"imir\\\":e.transforms.push({type:\\\"imir\\\",value:1&n.data[0]})}r=n.end}}function s(t,e,r){for(var n=0,i=0;i<r;i++)n=256*n+(t[e+i]||0);return n}function l(t,e){for(var r=t[4]>>4&15,i=15&t[4],a=t[5]>>4&15,o=n(t,6),l=8,c=0;c<o;c++){var u=n(t,l),f=n(t,l+=2),h=s(t,l+=2,a),p=n(t,l+=a);if(l+=2,0===f&&1===p){var d=s(t,l,r),m=s(t,l+r,i);e.item_loc[u]={length:m,offset:d+h}}l+=p*(r+i)}}function c(t,e){for(var r=n(t,4),i=6,o=0;o<r;o++){var s=a(t,i);if(!s)break;if(\\\"infe\\\"===s.boxtype){for(var l=n(s.data,4),c=\\\"\\\",u=8;u<s.data.length&&s.data[u];u++)c+=String.fromCharCode(s.data[u]);e.item_inf[c]=l}i=s.end}}function u(t,e){for(var r=0;;){var n=a(t,r);if(!n)break;\\\"ipco\\\"===n.boxtype&&o(n.data,e),r=n.end}}e.exports.unbox=a,e.exports.readSizeFromMeta=function(t){var e={sizes:[],transforms:[],item_inf:{},item_loc:{}};if(function(t,e){for(var r=4;;){var n=a(t,r);if(!n)break;\\\"iprp\\\"===n.boxtype&&u(n.data,e),\\\"iloc\\\"===n.boxtype&&l(n.data,e),\\\"iinf\\\"===n.boxtype&&c(n.data,e),r=n.end}}(t,e),e.sizes.length){var r,n,i,o=(r=e.sizes,n=r.reduce((function(t,e){return t.width>e.width||t.width===e.width&&t.height>e.height?t:e})),i=r.reduce((function(t,e){return t.height>e.height||t.height===e.height&&t.width>e.width?t:e})),n.width>i.height||n.width===i.height&&n.height>i.width?n:i),s=1;e.transforms.forEach((function(t){var e={1:6,2:5,3:8,4:7,5:4,6:3,7:2,8:1},r={1:4,2:3,3:2,4:1,5:6,6:5,7:8,8:7};if(\\\"imir\\\"===t.type&&(s=0===t.value?r[s]:e[s=e[s=r[s]]]),\\\"irot\\\"===t.type)for(var n=0;n<t.value;n++)s=e[s]}));var f=null;return e.item_inf.Exif&&(f=e.item_loc[e.item_inf.Exif]),{width:o.width,height:o.height,orientation:e.transforms.length?s:null,variants:e.sizes,exif_location:f}}},e.exports.getMimeType=function(t){var e=String.fromCharCode.apply(null,t.slice(0,4)),r={};r[e]=!0;for(var n=8;n<t.length;n+=4)r[String.fromCharCode.apply(null,t.slice(n,n+4))]=!0;if(r.mif1||r.msf1||r.miaf)return\\\"avif\\\"===e||\\\"avis\\\"===e||\\\"avio\\\"===e?{type:\\\"avif\\\",mime:\\\"image/avif\\\"}:\\\"heic\\\"===e||\\\"heix\\\"===e?{type:\\\"heic\\\",mime:\\\"image/heic\\\"}:\\\"hevc\\\"===e||\\\"hevx\\\"===e?{type:\\\"heic\\\",mime:\\\"image/heic-sequence\\\"}:r.avif||r.avis?{type:\\\"avif\\\",mime:\\\"image/avif\\\"}:r.heic||r.heix||r.hevc||r.hevx||r.heis?r.msf1?{type:\\\"heif\\\",mime:\\\"image/heif-sequence\\\"}:{type:\\\"heif\\\",mime:\\\"image/heif\\\"}:{type:\\\"avif\\\",mime:\\\"image/avif\\\"}}},{\\\"./common\\\":505}],508:[function(t,e,r){\\\"use strict\\\";var n=t(\\\"../common\\\").str2arr,i=t(\\\"../common\\\").sliceEq,a=t(\\\"../common\\\").readUInt32BE,o=t(\\\"../miaf_utils\\\"),s=t(\\\"../exif_utils\\\"),l=n(\\\"ftyp\\\");e.exports=function(t){if(i(t,4,l)){var e=o.unbox(t,0);if(e){var r=o.getMimeType(e.data);if(r){for(var n,c=e.end;;){var u=o.unbox(t,c);if(!u)break;if(c=u.end,\\\"mdat\\\"===u.boxtype)return;if(\\\"meta\\\"===u.boxtype){n=u.data;break}}if(n){var f=o.readSizeFromMeta(n);if(f){var h={width:f.width,height:f.height,type:r.type,mime:r.mime,wUnits:\\\"px\\\",hUnits:\\\"px\\\"};if(f.variants.length>1&&(h.variants=f.variants),f.orientation&&(h.orientation=f.orientation),f.exif_location&&f.exif_location.offset+f.exif_location.length<=t.length){var p=a(t,f.exif_location.offset),d=t.slice(f.exif_location.offset+p+4,f.exif_location.offset+f.exif_location.length),m=s.get_orientation(d);m>0&&(h.orientation=m)}return h}}}}}}},{\\\"../common\\\":505,\\\"../exif_utils\\\":506,\\\"../miaf_utils\\\":507}],509:[function(t,e,r){\\\"use 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l=t[6+16*s]||256,c=t[6+16*s+1]||256,u={width:l,height:c};a.push(u),(l>o.width||c>o.height)&&(o=u)}return{width:o.width,height:o.height,variants:a,type:\\\"ico\\\",mime:\\\"image/x-icon\\\",wUnits:\\\"px\\\",hUnits:\\\"px\\\"}}}},{\\\"../common\\\":505}],512:[function(t,e,r){\\\"use strict\\\";var n=t(\\\"../common\\\").readUInt16BE,i=t(\\\"../common\\\").str2arr,a=t(\\\"../common\\\").sliceEq,o=t(\\\"../exif_utils\\\"),s=i(\\\"Exif\\\\0\\\\0\\\");e.exports=function(t){if(!(t.length<2)&&255===t[0]&&216===t[1])for(var e=2;;){if(t.length-e<2)return;if(255!==t[e++])return;for(var r,i,l=t[e++];255===l;)l=t[e++];if(208<=l&&l<=217||1===l)r=0;else{if(!(192<=l&&l<=254))return;if(t.length-e<2)return;r=n(t,e)-2,e+=2}if(217===l||218===l)return;if(225===l&&r>=10&&a(t,e,s)&&(i=o.get_orientation(t.slice(e+6,e+r))),r>=5&&192<=l&&l<=207&&196!==l&&200!==l&&204!==l){if(t.length-e<r)return;var 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h=x.reduce((function(t,e,r){return t+(e?e.count:0)}),0),g=new Float64Array(2*h),_=new Uint8Array(4*h),w=new Float32Array(4*h);x.forEach((function(t,e){if(t){var r=t.positions,n=t.count,i=t.offset,a=t.color,o=t.errors;n&&(_.set(a,4*i),w.set(o,4*i),g.set(r,2*i))}})),c(u(g)),p(f(g)),d(_),m(w)}}}function k(){c.destroy(),p.destroy(),d.destroy(),m.destroy(),g.destroy()}};var h=[[1,0,0,1,0,0],[1,0,0,-1,0,0],[-1,0,0,-1,0,0],[-1,0,0,-1,0,0],[-1,0,0,1,0,0],[1,0,0,1,0,0],[1,0,-1,0,0,1],[1,0,-1,0,0,-1],[1,0,1,0,0,-1],[1,0,1,0,0,-1],[1,0,1,0,0,1],[1,0,-1,0,0,1],[-1,0,-1,0,0,1],[-1,0,-1,0,0,-1],[-1,0,1,0,0,-1],[-1,0,1,0,0,-1],[-1,0,1,0,0,1],[-1,0,-1,0,0,1],[0,1,1,0,0,0],[0,1,-1,0,0,0],[0,-1,-1,0,0,0],[0,-1,-1,0,0,0],[0,1,1,0,0,0],[0,-1,1,0,0,0],[0,1,0,-1,1,0],[0,1,0,-1,-1,0],[0,1,0,1,-1,0],[0,1,0,1,1,0],[0,1,0,-1,1,0],[0,1,0,1,-1,0],[0,-1,0,-1,1,0],[0,-1,0,-1,-1,0],[0,-1,0,1,-1,0],[0,-1,0,1,1,0],[0,-1,0,-1,1,0],[0,-1,0,1,-1,0]]},{\\\"array-bounds\\\":72,\\\"color-normalize\\\":127,\\\"flatten-vertex-data\\\":244,\\\"object-assign\\\":479,\\\"pick-by-alias\\\":490,\\\"to-float32\\\":591,\\\"update-diff\\\":613}],529:[function(t,e,r){\\\"use strict\\\";var n=t(\\\"color-normalize\\\"),i=t(\\\"array-bounds\\\"),a=t(\\\"object-assign\\\"),o=t(\\\"glslify\\\"),s=t(\\\"pick-by-alias\\\"),l=t(\\\"flatten-vertex-data\\\"),c=t(\\\"earcut\\\"),u=t(\\\"array-normalize\\\"),f=t(\\\"to-float32\\\"),h=f.float32,p=f.fract32,d=t(\\\"es6-weak-map\\\"),m=t(\\\"parse-rect\\\"),g=t(\\\"array-find-index\\\");function v(t,e){if(!(this instanceof v))return new v(t,e);if(\\\"function\\\"==typeof t?(e||(e={}),e.regl=t):e=t,e.length&&(e.positions=e),!(t=e.regl).hasExtension(\\\"ANGLE_instanced_arrays\\\"))throw Error(\\\"regl-error2d: `ANGLE_instanced_arrays` extension should be enabled\\\");this.gl=t._gl,this.regl=t,this.passes=[],this.shaders=v.shaders.has(t)?v.shaders.get(t):v.shaders.set(t,v.createShaders(t)).get(t),this.update(e)}e.exports=v,v.dashMult=2,v.maxPatternLength=256,v.precisionThreshold=3e6,v.maxPoints=1e4,v.maxLines=2048,v.shaders=new d,v.createShaders=function(t){var e,r=t.buffer({usage:\\\"static\\\",type:\\\"float\\\",data:[0,1,0,0,1,1,1,0]}),n={primitive:\\\"triangle strip\\\",instances:t.prop(\\\"count\\\"),count:4,offset:0,uniforms:{miterMode:function(t,e){return\\\"round\\\"===e.join?2:1},miterLimit:t.prop(\\\"miterLimit\\\"),scale:t.prop(\\\"scale\\\"),scaleFract:t.prop(\\\"scaleFract\\\"),translateFract:t.prop(\\\"translateFract\\\"),translate:t.prop(\\\"translate\\\"),thickness:t.prop(\\\"thickness\\\"),dashPattern:t.prop(\\\"dashTexture\\\"),opacity:t.prop(\\\"opacity\\\"),pixelRatio:t.context(\\\"pixelRatio\\\"),id:t.prop(\\\"id\\\"),dashSize:t.prop(\\\"dashLength\\\"),viewport:function(t,e){return[e.viewport.x,e.viewport.y,t.viewportWidth,t.viewportHeight]},depth:t.prop(\\\"depth\\\")},blend:{enable:!0,color:[0,0,0,0],equation:{rgb:\\\"add\\\",alpha:\\\"add\\\"},func:{srcRGB:\\\"src alpha\\\",dstRGB:\\\"one minus src alpha\\\",srcAlpha:\\\"one minus dst alpha\\\",dstAlpha:\\\"one\\\"}},depth:{enable:function(t,e){return!e.overlay}},stencil:{enable:!1},scissor:{enable:!0,box:t.prop(\\\"viewport\\\")},viewport:t.prop(\\\"viewport\\\")},i=t(a({vert:o([\\\"precision highp float;\\\\n#define GLSLIFY 1\\\\n\\\\nattribute vec2 aCoord, bCoord, aCoordFract, bCoordFract;\\\\nattribute vec4 color;\\\\nattribute float lineEnd, lineTop;\\\\n\\\\nuniform vec2 scale, scaleFract, translate, translateFract;\\\\nuniform float thickness, pixelRatio, id, depth;\\\\nuniform vec4 viewport;\\\\n\\\\nvarying vec4 fragColor;\\\\nvarying vec2 tangent;\\\\n\\\\nvec2 project(vec2 position, vec2 positionFract, vec2 scale, vec2 scaleFract, vec2 translate, vec2 translateFract) {\\\\n\\\\t// the order is important\\\\n\\\\treturn position * scale + translate\\\\n       + positionFract * scale + translateFract\\\\n       + position * scaleFract\\\\n       + positionFract * scaleFract;\\\\n}\\\\n\\\\nvoid main() {\\\\n\\\\tfloat lineStart = 1. - lineEnd;\\\\n\\\\tfloat lineOffset = lineTop * 2. - 1.;\\\\n\\\\n\\\\tvec2 diff = (bCoord + bCoordFract - aCoord - aCoordFract);\\\\n\\\\ttangent = normalize(diff * scale * viewport.zw);\\\\n\\\\tvec2 normal = vec2(-tangent.y, tangent.x);\\\\n\\\\n\\\\tvec2 position = project(aCoord, aCoordFract, scale, scaleFract, translate, translateFract) * lineStart\\\\n\\\\t\\\\t+ project(bCoord, bCoordFract, scale, scaleFract, translate, translateFract) * lineEnd\\\\n\\\\n\\\\t\\\\t+ thickness * normal * .5 * lineOffset / viewport.zw;\\\\n\\\\n\\\\tgl_Position = vec4(position * 2.0 - 1.0, depth, 1);\\\\n\\\\n\\\\tfragColor = color / 255.;\\\\n}\\\\n\\\"]),frag:o([\\\"precision highp float;\\\\n#define GLSLIFY 1\\\\n\\\\nuniform sampler2D dashPattern;\\\\n\\\\nuniform float dashSize, pixelRatio, thickness, opacity, id;\\\\n\\\\nvarying vec4 fragColor;\\\\nvarying vec2 tangent;\\\\n\\\\nvoid main() {\\\\n\\\\tfloat alpha = 1.;\\\\n\\\\n\\\\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashSize) * .5 + .25;\\\\n\\\\tfloat dash = texture2D(dashPattern, vec2(t, .5)).r;\\\\n\\\\n\\\\tgl_FragColor = fragColor;\\\\n\\\\tgl_FragColor.a *= alpha * opacity * dash;\\\\n}\\\\n\\\"]),attributes:{lineEnd:{buffer:r,divisor:0,stride:8,offset:0},lineTop:{buffer:r,divisor:0,stride:8,offset:4},aCoord:{buffer:t.prop(\\\"positionBuffer\\\"),stride:8,offset:8,divisor:1},bCoord:{buffer:t.prop(\\\"positionBuffer\\\"),stride:8,offset:16,divisor:1},aCoordFract:{buffer:t.prop(\\\"positionFractBuffer\\\"),stride:8,offset:8,divisor:1},bCoordFract:{buffer:t.prop(\\\"positionFractBuffer\\\"),stride:8,offset:16,divisor:1},color:{buffer:t.prop(\\\"colorBuffer\\\"),stride:4,offset:0,divisor:1}}},n));try{e=t(a({cull:{enable:!0,face:\\\"back\\\"},vert:o([\\\"precision highp float;\\\\n#define GLSLIFY 1\\\\n\\\\nattribute vec2 aCoord, bCoord, nextCoord, prevCoord;\\\\nattribute vec4 aColor, bColor;\\\\nattribute float lineEnd, lineTop;\\\\n\\\\nuniform vec2 scale, translate;\\\\nuniform float thickness, pixelRatio, id, depth;\\\\nuniform vec4 viewport;\\\\nuniform float miterLimit, miterMode;\\\\n\\\\nvarying vec4 fragColor;\\\\nvarying vec4 startCutoff, endCutoff;\\\\nvarying vec2 tangent;\\\\nvarying vec2 startCoord, endCoord;\\\\nvarying float enableStartMiter, enableEndMiter;\\\\n\\\\nconst float REVERSE_THRESHOLD = -.875;\\\\nconst float MIN_DIFF = 1e-6;\\\\n\\\\n// TODO: possible optimizations: avoid overcalculating all for vertices and calc just one instead\\\\n// TODO: precalculate dot products, normalize things beforehead etc.\\\\n// TODO: refactor to rectangular algorithm\\\\n\\\\nfloat distToLine(vec2 p, vec2 a, vec2 b) {\\\\n\\\\tvec2 diff = b - a;\\\\n\\\\tvec2 perp = normalize(vec2(-diff.y, diff.x));\\\\n\\\\treturn dot(p - a, perp);\\\\n}\\\\n\\\\nbool isNaN( float val ){\\\\n  return ( val < 0.0 || 0.0 < val || val == 0.0 ) ? false : true;\\\\n}\\\\n\\\\nvoid main() {\\\\n\\\\tvec2 aCoord = aCoord, bCoord = bCoord, prevCoord = prevCoord, nextCoord = nextCoord;\\\\n\\\\n  vec2 adjustedScale;\\\\n  adjustedScale.x = (abs(scale.x) < MIN_DIFF) ? MIN_DIFF : scale.x;\\\\n  adjustedScale.y = (abs(scale.y) < MIN_DIFF) ? MIN_DIFF : scale.y;\\\\n\\\\n  vec2 scaleRatio = adjustedScale * viewport.zw;\\\\n\\\\tvec2 normalWidth = thickness / scaleRatio;\\\\n\\\\n\\\\tfloat lineStart = 1. - lineEnd;\\\\n\\\\tfloat lineBot = 1. - lineTop;\\\\n\\\\n\\\\tfragColor = (lineStart * aColor + lineEnd * bColor) / 255.;\\\\n\\\\n\\\\tif (isNaN(aCoord.x) || isNaN(aCoord.y) || isNaN(bCoord.x) || isNaN(bCoord.y)) return;\\\\n\\\\n\\\\tif (aCoord == prevCoord) prevCoord = aCoord + normalize(bCoord - aCoord);\\\\n\\\\tif (bCoord == nextCoord) nextCoord = bCoord - normalize(bCoord - aCoord);\\\\n\\\\n\\\\tvec2 prevDiff = aCoord - prevCoord;\\\\n\\\\tvec2 currDiff = bCoord - aCoord;\\\\n\\\\tvec2 nextDiff = nextCoord - bCoord;\\\\n\\\\n\\\\tvec2 prevTangent = normalize(prevDiff * scaleRatio);\\\\n\\\\tvec2 currTangent = normalize(currDiff * scaleRatio);\\\\n\\\\tvec2 nextTangent = normalize(nextDiff * scaleRatio);\\\\n\\\\n\\\\tvec2 prevNormal = vec2(-prevTangent.y, prevTangent.x);\\\\n\\\\tvec2 currNormal = vec2(-currTangent.y, currTangent.x);\\\\n\\\\tvec2 nextNormal = vec2(-nextTangent.y, nextTangent.x);\\\\n\\\\n\\\\tvec2 startJoinDirection = normalize(prevTangent - currTangent);\\\\n\\\\tvec2 endJoinDirection = normalize(currTangent - nextTangent);\\\\n\\\\n\\\\t// collapsed/unidirectional segment cases\\\\n\\\\t// FIXME: there should be more elegant solution\\\\n\\\\tvec2 prevTanDiff = abs(prevTangent - currTangent);\\\\n\\\\tvec2 nextTanDiff = abs(nextTangent - currTangent);\\\\n\\\\tif (max(prevTanDiff.x, prevTanDiff.y) < MIN_DIFF) {\\\\n\\\\t\\\\tstartJoinDirection = currNormal;\\\\n\\\\t}\\\\n\\\\tif (max(nextTanDiff.x, nextTanDiff.y) < MIN_DIFF) {\\\\n\\\\t\\\\tendJoinDirection = currNormal;\\\\n\\\\t}\\\\n\\\\tif (aCoord == bCoord) {\\\\n\\\\t\\\\tendJoinDirection = startJoinDirection;\\\\n\\\\t\\\\tcurrNormal = prevNormal;\\\\n\\\\t\\\\tcurrTangent = prevTangent;\\\\n\\\\t}\\\\n\\\\n\\\\ttangent = currTangent;\\\\n\\\\n\\\\t//calculate join shifts relative to normals\\\\n\\\\tfloat startJoinShift = dot(currNormal, startJoinDirection);\\\\n\\\\tfloat endJoinShift = dot(currNormal, endJoinDirection);\\\\n\\\\n\\\\tfloat startMiterRatio = abs(1. / startJoinShift);\\\\n\\\\tfloat endMiterRatio = abs(1. / endJoinShift);\\\\n\\\\n\\\\tvec2 startJoin = startJoinDirection * startMiterRatio;\\\\n\\\\tvec2 endJoin = endJoinDirection * endMiterRatio;\\\\n\\\\n\\\\tvec2 startTopJoin, startBotJoin, endTopJoin, endBotJoin;\\\\n\\\\tstartTopJoin = sign(startJoinShift) * startJoin * .5;\\\\n\\\\tstartBotJoin = -startTopJoin;\\\\n\\\\n\\\\tendTopJoin = sign(endJoinShift) * endJoin * .5;\\\\n\\\\tendBotJoin = -endTopJoin;\\\\n\\\\n\\\\tvec2 aTopCoord = aCoord + normalWidth * startTopJoin;\\\\n\\\\tvec2 bTopCoord = bCoord + normalWidth * endTopJoin;\\\\n\\\\tvec2 aBotCoord = aCoord + normalWidth * startBotJoin;\\\\n\\\\tvec2 bBotCoord = bCoord + normalWidth * endBotJoin;\\\\n\\\\n\\\\t//miter anti-clipping\\\\n\\\\tfloat baClipping = distToLine(bCoord, aCoord, aBotCoord) / dot(normalize(normalWidth * endBotJoin), normalize(normalWidth.yx * vec2(-startBotJoin.y, startBotJoin.x)));\\\\n\\\\tfloat abClipping = distToLine(aCoord, bCoord, bTopCoord) / dot(normalize(normalWidth * startBotJoin), normalize(normalWidth.yx * vec2(-endBotJoin.y, endBotJoin.x)));\\\\n\\\\n\\\\t//prevent close to reverse direction switch\\\\n\\\\tbool prevReverse = dot(currTangent, prevTangent) <= REVERSE_THRESHOLD && abs(dot(currTangent, prevNormal)) * min(length(prevDiff), length(currDiff)) <  length(normalWidth * currNormal);\\\\n\\\\tbool nextReverse = dot(currTangent, nextTangent) <= REVERSE_THRESHOLD && abs(dot(currTangent, nextNormal)) * min(length(nextDiff), length(currDiff)) <  length(normalWidth * currNormal);\\\\n\\\\n\\\\tif (prevReverse) {\\\\n\\\\t\\\\t//make join rectangular\\\\n\\\\t\\\\tvec2 miterShift = normalWidth * startJoinDirection * miterLimit * .5;\\\\n\\\\t\\\\tfloat normalAdjust = 1. - min(miterLimit / startMiterRatio, 1.);\\\\n\\\\t\\\\taBotCoord = aCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\\\\n\\\\t\\\\taTopCoord = aCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\\\\n\\\\t}\\\\n\\\\telse if (!nextReverse && baClipping > 0. && baClipping < length(normalWidth * endBotJoin)) {\\\\n\\\\t\\\\t//handle miter clipping\\\\n\\\\t\\\\tbTopCoord -= normalWidth * endTopJoin;\\\\n\\\\t\\\\tbTopCoord += normalize(endTopJoin * normalWidth) * baClipping;\\\\n\\\\t}\\\\n\\\\n\\\\tif (nextReverse) {\\\\n\\\\t\\\\t//make join rectangular\\\\n\\\\t\\\\tvec2 miterShift = normalWidth * endJoinDirection * miterLimit * .5;\\\\n\\\\t\\\\tfloat normalAdjust = 1. - min(miterLimit / endMiterRatio, 1.);\\\\n\\\\t\\\\tbBotCoord = bCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\\\\n\\\\t\\\\tbTopCoord = bCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\\\\n\\\\t}\\\\n\\\\telse if (!prevReverse && abClipping > 0. && abClipping < length(normalWidth * startBotJoin)) {\\\\n\\\\t\\\\t//handle miter clipping\\\\n\\\\t\\\\taBotCoord -= normalWidth * startBotJoin;\\\\n\\\\t\\\\taBotCoord += normalize(startBotJoin * normalWidth) * abClipping;\\\\n\\\\t}\\\\n\\\\n\\\\tvec2 aTopPosition = (aTopCoord) * adjustedScale + translate;\\\\n\\\\tvec2 aBotPosition = (aBotCoord) * adjustedScale + translate;\\\\n\\\\n\\\\tvec2 bTopPosition = (bTopCoord) * adjustedScale + translate;\\\\n\\\\tvec2 bBotPosition = (bBotCoord) * adjustedScale + translate;\\\\n\\\\n\\\\t//position is normalized 0..1 coord on the screen\\\\n\\\\tvec2 position = (aTopPosition * lineTop + aBotPosition * lineBot) * lineStart + (bTopPosition * lineTop + bBotPosition * lineBot) * lineEnd;\\\\n\\\\n\\\\tstartCoord = aCoord * scaleRatio + translate * viewport.zw + viewport.xy;\\\\n\\\\tendCoord = bCoord * scaleRatio + translate * viewport.zw + viewport.xy;\\\\n\\\\n\\\\tgl_Position = vec4(position  * 2.0 - 1.0, depth, 1);\\\\n\\\\n\\\\tenableStartMiter = step(dot(currTangent, prevTangent), .5);\\\\n\\\\tenableEndMiter = step(dot(currTangent, nextTangent), .5);\\\\n\\\\n\\\\t//bevel miter cutoffs\\\\n\\\\tif (miterMode == 1.) {\\\\n\\\\t\\\\tif (enableStartMiter == 1.) {\\\\n\\\\t\\\\t\\\\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * miterLimit * .5;\\\\n\\\\t\\\\t\\\\tstartCutoff = vec4(aCoord, aCoord);\\\\n\\\\t\\\\t\\\\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\\\\n\\\\t\\\\t\\\\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\\\n\\\\t\\\\t\\\\tstartCutoff += viewport.xyxy;\\\\n\\\\t\\\\t\\\\tstartCutoff += startMiterWidth.xyxy;\\\\n\\\\t\\\\t}\\\\n\\\\n\\\\t\\\\tif (enableEndMiter == 1.) {\\\\n\\\\t\\\\t\\\\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * miterLimit * .5;\\\\n\\\\t\\\\t\\\\tendCutoff = vec4(bCoord, bCoord);\\\\n\\\\t\\\\t\\\\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x)  / scaleRatio;\\\\n\\\\t\\\\t\\\\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\\\n\\\\t\\\\t\\\\tendCutoff += viewport.xyxy;\\\\n\\\\t\\\\t\\\\tendCutoff += endMiterWidth.xyxy;\\\\n\\\\t\\\\t}\\\\n\\\\t}\\\\n\\\\n\\\\t//round miter cutoffs\\\\n\\\\telse if (miterMode == 2.) {\\\\n\\\\t\\\\tif (enableStartMiter == 1.) {\\\\n\\\\t\\\\t\\\\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * abs(dot(startJoinDirection, currNormal)) * .5;\\\\n\\\\t\\\\t\\\\tstartCutoff = vec4(aCoord, aCoord);\\\\n\\\\t\\\\t\\\\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\\\\n\\\\t\\\\t\\\\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\\\n\\\\t\\\\t\\\\tstartCutoff += viewport.xyxy;\\\\n\\\\t\\\\t\\\\tstartCutoff += startMiterWidth.xyxy;\\\\n\\\\t\\\\t}\\\\n\\\\n\\\\t\\\\tif (enableEndMiter == 1.) {\\\\n\\\\t\\\\t\\\\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * abs(dot(endJoinDirection, currNormal)) * .5;\\\\n\\\\t\\\\t\\\\tendCutoff = vec4(bCoord, bCoord);\\\\n\\\\t\\\\t\\\\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x)  / scaleRatio;\\\\n\\\\t\\\\t\\\\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\\\n\\\\t\\\\t\\\\tendCutoff += viewport.xyxy;\\\\n\\\\t\\\\t\\\\tendCutoff += endMiterWidth.xyxy;\\\\n\\\\t\\\\t}\\\\n\\\\t}\\\\n}\\\\n\\\"]),frag:o([\\\"precision highp float;\\\\n#define GLSLIFY 1\\\\n\\\\nuniform sampler2D dashPattern;\\\\nuniform float dashSize, pixelRatio, thickness, opacity, id, miterMode;\\\\n\\\\nvarying vec4 fragColor;\\\\nvarying vec2 tangent;\\\\nvarying vec4 startCutoff, endCutoff;\\\\nvarying vec2 startCoord, endCoord;\\\\nvarying float enableStartMiter, enableEndMiter;\\\\n\\\\nfloat distToLine(vec2 p, vec2 a, vec2 b) {\\\\n\\\\tvec2 diff = b - a;\\\\n\\\\tvec2 perp = normalize(vec2(-diff.y, diff.x));\\\\n\\\\treturn dot(p - a, perp);\\\\n}\\\\n\\\\nvoid main() {\\\\n\\\\tfloat alpha = 1., distToStart, distToEnd;\\\\n\\\\tfloat cutoff = thickness * .5;\\\\n\\\\n\\\\t//bevel miter\\\\n\\\\tif (miterMode == 1.) {\\\\n\\\\t\\\\tif (enableStartMiter == 1.) {\\\\n\\\\t\\\\t\\\\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\\\\n\\\\t\\\\t\\\\tif (distToStart < -1.) {\\\\n\\\\t\\\\t\\\\t\\\\tdiscard;\\\\n\\\\t\\\\t\\\\t\\\\treturn;\\\\n\\\\t\\\\t\\\\t}\\\\n\\\\t\\\\t\\\\talpha *= min(max(distToStart + 1., 0.), 1.);\\\\n\\\\t\\\\t}\\\\n\\\\n\\\\t\\\\tif (enableEndMiter == 1.) {\\\\n\\\\t\\\\t\\\\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\\\\n\\\\t\\\\t\\\\tif (distToEnd < -1.) {\\\\n\\\\t\\\\t\\\\t\\\\tdiscard;\\\\n\\\\t\\\\t\\\\t\\\\treturn;\\\\n\\\\t\\\\t\\\\t}\\\\n\\\\t\\\\t\\\\talpha *= min(max(distToEnd + 1., 0.), 1.);\\\\n\\\\t\\\\t}\\\\n\\\\t}\\\\n\\\\n\\\\t// round miter\\\\n\\\\telse if (miterMode == 2.) {\\\\n\\\\t\\\\tif (enableStartMiter == 1.) {\\\\n\\\\t\\\\t\\\\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\\\\n\\\\t\\\\t\\\\tif (distToStart < 0.) {\\\\n\\\\t\\\\t\\\\t\\\\tfloat radius = length(gl_FragCoord.xy - startCoord);\\\\n\\\\n\\\\t\\\\t\\\\t\\\\tif(radius > cutoff + .5) {\\\\n\\\\t\\\\t\\\\t\\\\t\\\\tdiscard;\\\\n\\\\t\\\\t\\\\t\\\\t\\\\treturn;\\\\n\\\\t\\\\t\\\\t\\\\t}\\\\n\\\\n\\\\t\\\\t\\\\t\\\\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\\\\n\\\\t\\\\t\\\\t}\\\\n\\\\t\\\\t}\\\\n\\\\n\\\\t\\\\tif (enableEndMiter == 1.) {\\\\n\\\\t\\\\t\\\\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\\\\n\\\\t\\\\t\\\\tif (distToEnd < 0.) {\\\\n\\\\t\\\\t\\\\t\\\\tfloat radius = length(gl_FragCoord.xy - endCoord);\\\\n\\\\n\\\\t\\\\t\\\\t\\\\tif(radius > cutoff + .5) {\\\\n\\\\t\\\\t\\\\t\\\\t\\\\tdiscard;\\\\n\\\\t\\\\t\\\\t\\\\t\\\\treturn;\\\\n\\\\t\\\\t\\\\t\\\\t}\\\\n\\\\n\\\\t\\\\t\\\\t\\\\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\\\\n\\\\t\\\\t\\\\t}\\\\n\\\\t\\\\t}\\\\n\\\\t}\\\\n\\\\n\\\\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashSize) * .5 + .25;\\\\n\\\\tfloat dash = texture2D(dashPattern, vec2(t, .5)).r;\\\\n\\\\n\\\\tgl_FragColor = fragColor;\\\\n\\\\tgl_FragColor.a *= alpha * opacity * dash;\\\\n}\\\\n\\\"]),attributes:{lineEnd:{buffer:r,divisor:0,stride:8,offset:0},lineTop:{buffer:r,divisor:0,stride:8,offset:4},aColor:{buffer:t.prop(\\\"colorBuffer\\\"),stride:4,offset:0,divisor:1},bColor:{buffer:t.prop(\\\"colorBuffer\\\"),stride:4,offset:4,divisor:1},prevCoord:{buffer:t.prop(\\\"positionBuffer\\\"),stride:8,offset:0,divisor:1},aCoord:{buffer:t.prop(\\\"positionBuffer\\\"),stride:8,offset:8,divisor:1},bCoord:{buffer:t.prop(\\\"positionBuffer\\\"),stride:8,offset:16,divisor:1},nextCoord:{buffer:t.prop(\\\"positionBuffer\\\"),stride:8,offset:24,divisor:1}}},n))}catch(t){e=i}return{fill:t({primitive:\\\"triangle\\\",elements:function(t,e){return e.triangles},offset:0,vert:o([\\\"precision highp float;\\\\n#define GLSLIFY 1\\\\n\\\\nattribute vec2 position, positionFract;\\\\n\\\\nuniform vec4 color;\\\\nuniform vec2 scale, scaleFract, translate, translateFract;\\\\nuniform float pixelRatio, id;\\\\nuniform vec4 viewport;\\\\nuniform float opacity;\\\\n\\\\nvarying vec4 fragColor;\\\\n\\\\nconst float MAX_LINES = 256.;\\\\n\\\\nvoid main() {\\\\n\\\\tfloat depth = (MAX_LINES - 4. - id) / (MAX_LINES);\\\\n\\\\n\\\\tvec2 position = position * scale + translate\\\\n       + positionFract * scale + translateFract\\\\n       + position * scaleFract\\\\n       + positionFract * scaleFract;\\\\n\\\\n\\\\tgl_Position = vec4(position * 2.0 - 1.0, depth, 1);\\\\n\\\\n\\\\tfragColor = color / 255.;\\\\n\\\\tfragColor.a *= opacity;\\\\n}\\\\n\\\"]),frag:o([\\\"precision highp float;\\\\n#define GLSLIFY 1\\\\n\\\\nvarying vec4 fragColor;\\\\n\\\\nvoid main() {\\\\n\\\\tgl_FragColor = fragColor;\\\\n}\\\\n\\\"]),uniforms:{scale:t.prop(\\\"scale\\\"),color:t.prop(\\\"fill\\\"),scaleFract:t.prop(\\\"scaleFract\\\"),translateFract:t.prop(\\\"translateFract\\\"),translate:t.prop(\\\"translate\\\"),opacity:t.prop(\\\"opacity\\\"),pixelRatio:t.context(\\\"pixelRatio\\\"),id:t.prop(\\\"id\\\"),viewport:function(t,e){return[e.viewport.x,e.viewport.y,t.viewportWidth,t.viewportHeight]}},attributes:{position:{buffer:t.prop(\\\"positionBuffer\\\"),stride:8,offset:8},positionFract:{buffer:t.prop(\\\"positionFractBuffer\\\"),stride:8,offset:8}},blend:n.blend,depth:{enable:!1},scissor:n.scissor,stencil:n.stencil,viewport:n.viewport}),rect:i,miter:e}},v.defaults={dashes:null,join:\\\"miter\\\",miterLimit:1,thickness:10,cap:\\\"square\\\",color:\\\"black\\\",opacity:1,overlay:!1,viewport:null,range:null,close:!1,fill:null},v.prototype.render=function(){for(var t,e=[],r=arguments.length;r--;)e[r]=arguments[r];e.length&&(t=this).update.apply(t,e),this.draw()},v.prototype.draw=function(){for(var t=this,e=[],r=arguments.length;r--;)e[r]=arguments[r];return(e.length?e:this.passes).forEach((function(e,r){var n;if(e&&Array.isArray(e))return(n=t).draw.apply(n,e);\\\"number\\\"==typeof e&&(e=t.passes[e]),e&&e.count>1&&e.opacity&&(t.regl._refresh(),e.fill&&e.triangles&&e.triangles.length>2&&t.shaders.fill(e),e.thickness&&(e.scale[0]*e.viewport.width>v.precisionThreshold||e.scale[1]*e.viewport.height>v.precisionThreshold||\\\"rect\\\"===e.join||!e.join&&(e.thickness<=2||e.count>=v.maxPoints)?t.shaders.rect(e):t.shaders.miter(e)))})),this},v.prototype.update=function(t){var e=this;if(t){null!=t.length?\\\"number\\\"==typeof t[0]&&(t=[{positions:t}]):Array.isArray(t)||(t=[t]);var r=this.regl,o=this.gl;if(t.forEach((function(t,f){var d=e.passes[f];if(void 0!==t)if(null!==t){if(\\\"number\\\"==typeof t[0]&&(t={positions:t}),t=s(t,{positions:\\\"positions points data coords\\\",thickness:\\\"thickness lineWidth lineWidths line-width linewidth width stroke-width strokewidth strokeWidth\\\",join:\\\"lineJoin linejoin join type mode\\\",miterLimit:\\\"miterlimit miterLimit\\\",dashes:\\\"dash dashes dasharray dash-array dashArray\\\",color:\\\"color colour stroke colors colours stroke-color strokeColor\\\",fill:\\\"fill fill-color fillColor\\\",opacity:\\\"alpha opacity\\\",overlay:\\\"overlay crease overlap intersect\\\",close:\\\"closed close closed-path closePath\\\",range:\\\"range dataBox\\\",viewport:\\\"viewport viewBox\\\",hole:\\\"holes hole hollow\\\",splitNull:\\\"splitNull\\\"}),d||(e.passes[f]=d={id:f,scale:null,scaleFract:null,translate:null,translateFract:null,count:0,hole:[],depth:0,dashLength:1,dashTexture:r.texture({channels:1,data:new Uint8Array([255]),width:1,height:1,mag:\\\"linear\\\",min:\\\"linear\\\"}),colorBuffer:r.buffer({usage:\\\"dynamic\\\",type:\\\"uint8\\\",data:new Uint8Array}),positionBuffer:r.buffer({usage:\\\"dynamic\\\",type:\\\"float\\\",data:new Uint8Array}),positionFractBuffer:r.buffer({usage:\\\"dynamic\\\",type:\\\"float\\\",data:new Uint8Array})},t=a({},v.defaults,t)),null!=t.thickness&&(d.thickness=parseFloat(t.thickness)),null!=t.opacity&&(d.opacity=parseFloat(t.opacity)),null!=t.miterLimit&&(d.miterLimit=parseFloat(t.miterLimit)),null!=t.overlay&&(d.overlay=!!t.overlay,f<v.maxLines&&(d.depth=2*(v.maxLines-1-f%v.maxLines)/v.maxLines-1)),null!=t.join&&(d.join=t.join),null!=t.hole&&(d.hole=t.hole),null!=t.fill&&(d.fill=t.fill?n(t.fill,\\\"uint8\\\"):null),null!=t.viewport&&(d.viewport=m(t.viewport)),d.viewport||(d.viewport=m([o.drawingBufferWidth,o.drawingBufferHeight])),null!=t.close&&(d.close=t.close),null===t.positions&&(t.positions=[]),t.positions){var y,x;if(t.positions.x&&t.positions.y){var b=t.positions.x,_=t.positions.y;x=d.count=Math.max(b.length,_.length),y=new Float64Array(2*x);for(var w=0;w<x;w++)y[2*w]=b[w],y[2*w+1]=_[w]}else y=l(t.positions,\\\"float64\\\"),x=d.count=Math.floor(y.length/2);var T=d.bounds=i(y,2);if(d.fill){for(var k=[],M={},A=0,S=0,E=0,L=d.count;S<L;S++){var C=y[2*S],P=y[2*S+1];isNaN(C)||isNaN(P)||null==C||null==P?(C=y[2*A],P=y[2*A+1],M[S]=A):A=S,k[E++]=C,k[E++]=P}if(t.splitNull){d.count-1 in M||(M[d.count]=d.count-1);var I=Object.keys(M).map(Number).sort((function(t,e){return t-e})),O=[],z=0,D=null!=d.hole?d.hole[0]:null;if(null!=D){var R=g(I,(function(t){return t>=D}));(I=I.slice(0,R)).push(D)}for(var F=function(t){var e=k.slice(2*z,2*I[t]).concat(D?k.slice(2*D):[]),r=(d.hole||[]).map((function(e){return e-D+(I[t]-z)})),n=c(e,r);n=n.map((function(e){return e+z+(e+z<I[t]?0:D-I[t])})),O.push.apply(O,n),z=I[t]+1},B=0;B<I.length;B++)F(B);for(var N=0,j=O.length;N<j;N++)null!=M[O[N]]&&(O[N]=M[O[N]]);d.triangles=O}else{for(var U=c(k,d.hole||[]),V=0,q=U.length;V<q;V++)null!=M[U[V]]&&(U[V]=M[U[V]]);d.triangles=U}}var H=new Float64Array(y);u(H,2,T);var G=new Float64Array(2*x+6);d.close?y[0]===y[2*x-2]&&y[1]===y[2*x-1]?(G[0]=H[2*x-4],G[1]=H[2*x-3]):(G[0]=H[2*x-2],G[1]=H[2*x-1]):(G[0]=H[0],G[1]=H[1]),G.set(H,2),d.close?y[0]===y[2*x-2]&&y[1]===y[2*x-1]?(G[2*x+2]=H[2],G[2*x+3]=H[3],d.count-=1):(G[2*x+2]=H[0],G[2*x+3]=H[1],G[2*x+4]=H[2],G[2*x+5]=H[3]):(G[2*x+2]=H[2*x-2],G[2*x+3]=H[2*x-1],G[2*x+4]=H[2*x-2],G[2*x+5]=H[2*x-1]),d.positionBuffer(h(G)),d.positionFractBuffer(p(G))}if(t.range?d.range=t.range:d.range||(d.range=d.bounds),(t.range||t.positions)&&d.count){var Y=d.bounds,W=Y[2]-Y[0],X=Y[3]-Y[1],Z=d.range[2]-d.range[0],J=d.range[3]-d.range[1];d.scale=[W/Z,X/J],d.translate=[-d.range[0]/Z+Y[0]/Z||0,-d.range[1]/J+Y[1]/J||0],d.scaleFract=p(d.scale),d.translateFract=p(d.translate)}if(t.dashes){var K,Q=0;if(!t.dashes||t.dashes.length<2)Q=1,K=new Uint8Array([255,255,255,255,255,255,255,255]);else{Q=0;for(var $=0;$<t.dashes.length;++$)Q+=t.dashes[$];K=new Uint8Array(Q*v.dashMult);for(var tt=0,et=255,rt=0;rt<2;rt++)for(var nt=0;nt<t.dashes.length;++nt){for(var it=0,at=t.dashes[nt]*v.dashMult*.5;it<at;++it)K[tt++]=et;et^=255}}d.dashLength=Q,d.dashTexture({channels:1,data:K,width:K.length,height:1,mag:\\\"linear\\\",min:\\\"linear\\\"},0,0)}if(t.color){var ot=d.count,st=t.color;st||(st=\\\"transparent\\\");var lt=new Uint8Array(4*ot+4);if(Array.isArray(st)&&\\\"number\\\"!=typeof st[0]){for(var ct=0;ct<ot;ct++){var ut=n(st[ct],\\\"uint8\\\");lt.set(ut,4*ct)}lt.set(n(st[0],\\\"uint8\\\"),4*ot)}else for(var ft=n(st,\\\"uint8\\\"),ht=0;ht<ot+1;ht++)lt.set(ft,4*ht);d.colorBuffer({usage:\\\"dynamic\\\",type:\\\"uint8\\\",data:lt})}}else e.passes[f]=null})),t.length<this.passes.length){for(var f=t.length;f<this.passes.length;f++){var d=this.passes[f];d&&(d.colorBuffer.destroy(),d.positionBuffer.destroy(),d.dashTexture.destroy())}this.passes.length=t.length}for(var y=[],x=0;x<this.passes.length;x++)null!==this.passes[x]&&y.push(this.passes[x]);return this.passes=y,this}},v.prototype.destroy=function(){return this.passes.forEach((function(t){t.colorBuffer.destroy(),t.positionBuffer.destroy(),t.dashTexture.destroy()})),this.passes.length=0,this}},{\\\"array-bounds\\\":72,\\\"array-find-index\\\":73,\\\"array-normalize\\\":74,\\\"color-normalize\\\":127,earcut:178,\\\"es6-weak-map\\\":233,\\\"flatten-vertex-data\\\":244,glslify:434,\\\"object-assign\\\":479,\\\"parse-rect\\\":484,\\\"pick-by-alias\\\":490,\\\"to-float32\\\":591}],530:[function(t,e,r){\\\"use strict\\\";function n(t,e){return function(t){if(Array.isArray(t))return t}(t)||function(t,e){if(\\\"undefined\\\"==typeof Symbol||!(Symbol.iterator in Object(t)))return;var r=[],n=!0,i=!1,a=void 0;try{for(var o,s=t[Symbol.iterator]();!(n=(o=s.next()).done)&&(r.push(o.value),!e||r.length!==e);n=!0);}catch(t){i=!0,a=t}finally{try{n||null==s.return||s.return()}finally{if(i)throw a}}return r}(t,e)||a(t,e)||function(){throw new TypeError(\\\"Invalid attempt to destructure non-iterable instance.\\\\nIn order to be iterable, non-array objects 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s=t(\\\"color-normalize\\\"),l=t(\\\"array-bounds\\\"),c=t(\\\"color-id\\\"),u=t(\\\"@plotly/point-cluster\\\"),f=t(\\\"object-assign\\\"),h=t(\\\"glslify\\\"),p=t(\\\"pick-by-alias\\\"),d=t(\\\"update-diff\\\"),m=t(\\\"flatten-vertex-data\\\"),g=t(\\\"is-iexplorer\\\"),v=t(\\\"to-float32\\\"),y=t(\\\"parse-rect\\\"),x=b;function b(t,e){var r=this;if(!(this instanceof b))return new b(t,e);\\\"function\\\"==typeof t?(e||(e={}),e.regl=t):(e=t,t=null),e&&e.length&&(e.positions=e);var n,i=(t=e.regl)._gl,a=[];this.tooManyColors=g,n=t.texture({data:new Uint8Array(1020),width:255,height:1,type:\\\"uint8\\\",format:\\\"rgba\\\",wrapS:\\\"clamp\\\",wrapT:\\\"clamp\\\",mag:\\\"nearest\\\",min:\\\"nearest\\\"}),f(this,{regl:t,gl:i,groups:[],markerCache:[null],markerTextures:[null],palette:a,paletteIds:{},paletteTexture:n,maxColors:255,maxSize:100,canvas:i.canvas}),this.update(e);var o={uniforms:{constPointSize:!!e.constPointSize,pixelRatio:t.context(\\\"pixelRatio\\\"),palette:n,paletteSize:function(t,e){return[r.tooManyColors?0:255,n.height]},scale:t.prop(\\\"scale\\\"),scaleFract:t.prop(\\\"scaleFract\\\"),translate:t.prop(\\\"translate\\\"),translateFract:t.prop(\\\"translateFract\\\"),opacity:t.prop(\\\"opacity\\\"),marker:t.prop(\\\"markerTexture\\\")},attributes:{x:function(t,e){return e.xAttr||{buffer:e.positionBuffer,stride:8,offset:0}},y:function(t,e){return e.yAttr||{buffer:e.positionBuffer,stride:8,offset:4}},xFract:function(t,e){return e.xAttr?{constant:[0,0]}:{buffer:e.positionFractBuffer,stride:8,offset:0}},yFract:function(t,e){return e.yAttr?{constant:[0,0]}:{buffer:e.positionFractBuffer,stride:8,offset:4}},size:function(t,e){return e.size.length?{buffer:e.sizeBuffer,stride:2,offset:0}:{constant:[Math.round(255*e.size/r.maxSize)]}},borderSize:function(t,e){return e.borderSize.length?{buffer:e.sizeBuffer,stride:2,offset:1}:{constant:[Math.round(255*e.borderSize/r.maxSize)]}},colorId:function(t,e){return e.color.length?{buffer:e.colorBuffer,stride:r.tooManyColors?8:4,offset:0}:{constant:r.tooManyColors?a.slice(4*e.color,4*e.color+4):[e.color]}},borderColorId:function(t,e){return e.borderColor.length?{buffer:e.colorBuffer,stride:r.tooManyColors?8:4,offset:r.tooManyColors?4:2}:{constant:r.tooManyColors?a.slice(4*e.borderColor,4*e.borderColor+4):[e.borderColor]}},isActive:function(t,e){return!0===e.activation?{constant:[1]}:e.activation?e.activation:{constant:[0]}}},blend:{enable:!0,color:[0,0,0,1],func:{srcRGB:\\\"src alpha\\\",dstRGB:\\\"one minus src alpha\\\",srcAlpha:\\\"one minus dst 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colorAmt * fragColor.a * opacity);\\\\n  }\\\\n  else {\\\\n    float borderColorAmt = smoothstep(fragBorderColorLevel - delta, fragBorderColorLevel + delta, dist);\\\\n    float colorAmt = smoothstep(fragColorLevel - delta, fragColorLevel + delta, dist);\\\\n\\\\n    vec4 color = fragBorderColor;\\\\n    color.a *= borderColorAmt;\\\\n    color = mix(color, fragColor, colorAmt);\\\\n    color.a *= opacity;\\\\n\\\\n    gl_FragColor = color;\\\\n  }\\\\n\\\\n}\\\\n\\\"]),s.vert=h([\\\"precision highp float;\\\\n#define GLSLIFY 1\\\\n\\\\nattribute float x, y, xFract, yFract;\\\\nattribute float size, borderSize;\\\\nattribute vec4 colorId, borderColorId;\\\\nattribute float isActive;\\\\n\\\\nuniform vec2 scale, scaleFract, translate, translateFract, paletteSize;\\\\nuniform float pixelRatio;\\\\nuniform bool constPointSize;\\\\nuniform sampler2D palette;\\\\n\\\\nconst float maxSize = 100.;\\\\nconst float borderLevel = .5;\\\\n\\\\nvarying vec4 fragColor, fragBorderColor;\\\\nvarying float fragPointSize, fragBorderRadius, fragWidth, fragBorderColorLevel, fragColorLevel;\\\\n\\\\nfloat pointSizeScale = (constPointSize) ? 2. : pixelRatio;\\\\n\\\\nbool isDirect = (paletteSize.x < 1.);\\\\n\\\\nvec4 getColor(vec4 id) {\\\\n  return isDirect ? id / 255. : texture2D(palette,\\\\n    vec2(\\\\n      (id.x + .5) / paletteSize.x,\\\\n      (id.y + .5) / paletteSize.y\\\\n    )\\\\n  );\\\\n}\\\\n\\\\nvoid main() {\\\\n  // ignore inactive points\\\\n  if (isActive == 0.) return;\\\\n\\\\n  vec2 position = vec2(x, y);\\\\n  vec2 positionFract = vec2(xFract, yFract);\\\\n\\\\n  vec4 color = getColor(colorId);\\\\n  vec4 borderColor = getColor(borderColorId);\\\\n\\\\n  float size = size * maxSize / 255.;\\\\n  float borderSize = borderSize * maxSize / 255.;\\\\n\\\\n  gl_PointSize = 2. * size * pointSizeScale;\\\\n  fragPointSize = size * pixelRatio;\\\\n\\\\n  vec2 pos = (position + translate) * scale\\\\n      + (positionFract + translateFract) * scale\\\\n      + (position + translate) * scaleFract\\\\n      + (positionFract + translateFract) * scaleFract;\\\\n\\\\n  gl_Position = vec4(pos * 2. - 1., 0., 1.);\\\\n\\\\n  fragColor = color;\\\\n  fragBorderColor = borderColor;\\\\n  fragWidth = 1. / gl_PointSize;\\\\n\\\\n  fragBorderColorLevel = clamp(borderLevel - borderLevel * borderSize / size, 0., 1.);\\\\n  fragColorLevel = clamp(borderLevel + (1. - borderLevel) * borderSize / size, 0., 1.);\\\\n}\\\"]),this.drawMarker=t(s);var l=f({},o);l.frag=h([\\\"precision highp float;\\\\n#define GLSLIFY 1\\\\n\\\\nvarying vec4 fragColor, fragBorderColor;\\\\n\\\\nuniform float opacity;\\\\nvarying float fragBorderRadius, fragWidth;\\\\n\\\\nfloat smoothStep(float edge0, float edge1, float x) {\\\\n\\\\tfloat t;\\\\n\\\\tt = clamp((x - edge0) / (edge1 - edge0), 0.0, 1.0);\\\\n\\\\treturn t * t * (3.0 - 2.0 * t);\\\\n}\\\\n\\\\nvoid main() {\\\\n\\\\tfloat radius, alpha = 1.0, delta = fragWidth;\\\\n\\\\n\\\\tradius = length(2.0 * gl_PointCoord.xy - 1.0);\\\\n\\\\n\\\\tif (radius > 1.0 + delta) {\\\\n\\\\t\\\\tdiscard;\\\\n\\\\t}\\\\n\\\\n\\\\talpha -= smoothstep(1.0 - delta, 1.0 + delta, radius);\\\\n\\\\n\\\\tfloat borderRadius = fragBorderRadius;\\\\n\\\\tfloat ratio = smoothstep(borderRadius - delta, borderRadius + delta, radius);\\\\n\\\\tvec4 color = mix(fragColor, fragBorderColor, ratio);\\\\n\\\\tcolor.a *= alpha * opacity;\\\\n\\\\tgl_FragColor = color;\\\\n}\\\\n\\\"]),l.vert=h([\\\"precision highp float;\\\\n#define GLSLIFY 1\\\\n\\\\nattribute float x, y, xFract, yFract;\\\\nattribute float size, borderSize;\\\\nattribute vec4 colorId, borderColorId;\\\\nattribute float isActive;\\\\n\\\\nuniform vec2 scale, scaleFract, translate, translateFract;\\\\nuniform float pixelRatio;\\\\nuniform bool constPointSize;\\\\nuniform sampler2D palette;\\\\nuniform vec2 paletteSize;\\\\n\\\\nconst float maxSize = 100.;\\\\n\\\\nvarying vec4 fragColor, fragBorderColor;\\\\nvarying float fragBorderRadius, fragWidth;\\\\n\\\\nfloat pointSizeScale = (constPointSize) ? 2. : pixelRatio;\\\\n\\\\nbool isDirect = (paletteSize.x < 1.);\\\\n\\\\nvec4 getColor(vec4 id) {\\\\n  return isDirect ? id / 255. : texture2D(palette,\\\\n    vec2(\\\\n      (id.x + .5) / paletteSize.x,\\\\n      (id.y + .5) / paletteSize.y\\\\n    )\\\\n  );\\\\n}\\\\n\\\\nvoid main() {\\\\n  // ignore inactive points\\\\n  if (isActive == 0.) return;\\\\n\\\\n  vec2 position = vec2(x, y);\\\\n  vec2 positionFract = vec2(xFract, yFract);\\\\n\\\\n  vec4 color = getColor(colorId);\\\\n  vec4 borderColor = getColor(borderColorId);\\\\n\\\\n  float size = size * maxSize / 255.;\\\\n  float borderSize = borderSize * maxSize / 255.;\\\\n\\\\n  gl_PointSize = (size + borderSize) * pointSizeScale;\\\\n\\\\n  vec2 pos = (position + translate) * scale\\\\n      + (positionFract + translateFract) * scale\\\\n      + (position + translate) * scaleFract\\\\n      + (positionFract + translateFract) * scaleFract;\\\\n\\\\n  gl_Position = vec4(pos * 2. - 1., 0., 1.);\\\\n\\\\n  fragBorderRadius = 1. - 2. * borderSize / (size + borderSize);\\\\n  fragColor = color;\\\\n  fragBorderColor = borderColor.a == 0. || borderSize == 0. ? vec4(color.rgb, 0.) : borderColor;\\\\n  fragWidth = 1. / gl_PointSize;\\\\n}\\\\n\\\"]),g&&(l.frag=l.frag.replace(\\\"smoothstep\\\",\\\"smoothStep\\\"),s.frag=s.frag.replace(\\\"smoothstep\\\",\\\"smoothStep\\\")),this.drawCircle=t(l)}b.defaults={color:\\\"black\\\",borderColor:\\\"transparent\\\",borderSize:0,size:12,opacity:1,marker:void 0,viewport:null,range:null,pixelSize:null,count:0,offset:0,bounds:null,positions:[],snap:1e4},b.prototype.render=function(){return arguments.length&&this.update.apply(this,arguments),this.draw(),this},b.prototype.draw=function(){for(var t=this,e=arguments.length,r=new Array(e),n=0;n<e;n++)r[n]=arguments[n];var i=this.groups;if(1===r.length&&Array.isArray(r[0])&&(null===r[0][0]||Array.isArray(r[0][0]))&&(r=r[0]),this.regl._refresh(),r.length)for(var a=0;a<r.length;a++)this.drawItem(a,r[a]);else i.forEach((function(e,r){t.drawItem(r)}));return this},b.prototype.drawItem=function(t,e){var r=this.groups,n=r[t];if(\\\"number\\\"==typeof e&&(t=e,n=r[e],e=null),n&&n.count&&n.opacity){n.activation[0]&&this.drawCircle(this.getMarkerDrawOptions(0,n,e));for(var a=[],o=1;o<n.activation.length;o++)n.activation[o]&&(!0===n.activation[o]||n.activation[o].data.length)&&a.push.apply(a,i(this.getMarkerDrawOptions(o,n,e)));a.length&&this.drawMarker(a)}},b.prototype.getMarkerDrawOptions=function(t,e,r){var i=e.range,a=e.tree,o=e.viewport,s=e.activation,l=e.selectionBuffer,c=e.count;this.regl;if(!a)return r?[f({},e,{markerTexture:this.markerTextures[t],activation:s[t],count:r.length,elements:r,offset:0})]:[f({},e,{markerTexture:this.markerTextures[t],activation:s[t],offset:0})];var u=[],h=a.range(i,{lod:!0,px:[(i[2]-i[0])/o.width,(i[3]-i[1])/o.height]});if(r){for(var p=s[t].data,d=new Uint8Array(c),m=0;m<r.length;m++){var g=r[m];d[g]=p?p[g]:1}l.subdata(d)}for(var v=h.length;v--;){var y=n(h[v],2),x=y[0],b=y[1];u.push(f({},e,{markerTexture:this.markerTextures[t],activation:r?l:s[t],offset:x,count:b-x}))}return u},b.prototype.update=function(){for(var t=this,e=arguments.length,r=new Array(e),n=0;n<e;n++)r[n]=arguments[n];if(r.length){1===r.length&&Array.isArray(r[0])&&(r=r[0]);var i=this.groups,a=this.gl,o=this.regl,s=this.maxSize,c=this.maxColors,h=this.palette;this.groups=i=r.map((function(e,r){var n=i[r];if(void 0===e)return n;null===e?e={positions:null}:\\\"function\\\"==typeof e?e={ondraw:e}:\\\"number\\\"==typeof e[0]&&(e={positions:e}),null===(e=p(e,{positions:\\\"positions data points\\\",snap:\\\"snap cluster lod tree\\\",size:\\\"sizes size radius\\\",borderSize:\\\"borderSizes borderSize border-size bordersize borderWidth borderWidths border-width borderwidth stroke-width strokeWidth strokewidth outline\\\",color:\\\"colors color fill fill-color fillColor\\\",borderColor:\\\"borderColors borderColor stroke stroke-color strokeColor\\\",marker:\\\"markers marker shape\\\",range:\\\"range dataBox databox\\\",viewport:\\\"viewport viewPort viewBox viewbox\\\",opacity:\\\"opacity alpha transparency\\\",bounds:\\\"bound bounds boundaries limits\\\",tooManyColors:\\\"tooManyColors palette paletteMode optimizePalette enablePalette\\\"})).positions&&(e.positions=[]),null!=e.tooManyColors&&(t.tooManyColors=e.tooManyColors),n||(i[r]=n={id:r,scale:null,translate:null,scaleFract:null,translateFract:null,activation:[],selectionBuffer:o.buffer({data:new Uint8Array(0),usage:\\\"stream\\\",type:\\\"uint8\\\"}),sizeBuffer:o.buffer({data:new Uint8Array(0),usage:\\\"dynamic\\\",type:\\\"uint8\\\"}),colorBuffer:o.buffer({data:new Uint8Array(0),usage:\\\"dynamic\\\",type:\\\"uint8\\\"}),positionBuffer:o.buffer({data:new Uint8Array(0),usage:\\\"dynamic\\\",type:\\\"float\\\"}),positionFractBuffer:o.buffer({data:new Uint8Array(0),usage:\\\"dynamic\\\",type:\\\"float\\\"})},e=f({},b.defaults,e)),e.positions&&!(\\\"marker\\\"in e)&&(e.marker=n.marker,delete n.marker),e.marker&&!(\\\"positions\\\"in e)&&(e.positions=n.positions,delete n.positions);var g=0,x=0;if(d(n,e,[{snap:!0,size:function(t,e){return null==t&&(t=b.defaults.size),g+=t&&t.length?1:0,t},borderSize:function(t,e){return null==t&&(t=b.defaults.borderSize),g+=t&&t.length?1:0,t},opacity:parseFloat,color:function(e,r){return null==e&&(e=b.defaults.color),e=t.updateColor(e),x++,e},borderColor:function(e,r){return null==e&&(e=b.defaults.borderColor),e=t.updateColor(e),x++,e},bounds:function(t,e,r){return\\\"range\\\"in r||(r.range=null),t},positions:function(t,e,r){var n=e.snap,i=e.positionBuffer,a=e.positionFractBuffer,s=e.selectionBuffer;if(t.x||t.y)return t.x.length?e.xAttr={buffer:o.buffer(t.x),offset:0,stride:4,count:t.x.length}:e.xAttr={buffer:t.x.buffer,offset:4*t.x.offset||0,stride:4*(t.x.stride||1),count:t.x.count},t.y.length?e.yAttr={buffer:o.buffer(t.y),offset:0,stride:4,count:t.y.length}:e.yAttr={buffer:t.y.buffer,offset:4*t.y.offset||0,stride:4*(t.y.stride||1),count:t.y.count},e.count=Math.max(e.xAttr.count,e.yAttr.count),t;t=m(t,\\\"float64\\\");var c=e.count=Math.floor(t.length/2),f=e.bounds=c?l(t,2):null;if(r.range||e.range||(delete e.range,r.range=f),r.marker||e.marker||(delete e.marker,r.marker=null),n&&(!0===n||c>n)?e.tree=u(t,{bounds:f}):n&&n.length&&(e.tree=n),e.tree){var h={primitive:\\\"points\\\",usage:\\\"static\\\",data:e.tree,type:\\\"uint32\\\"};e.elements?e.elements(h):e.elements=o.elements(h)}return i({data:v.float(t),usage:\\\"dynamic\\\"}),a({data:v.fract(t),usage:\\\"dynamic\\\"}),s({data:new Uint8Array(c),type:\\\"uint8\\\",usage:\\\"stream\\\"}),t}},{marker:function(e,r,n){var i=r.activation;if(i.forEach((function(t){return t&&t.destroy&&t.destroy()})),i.length=0,e&&\\\"number\\\"!=typeof e[0]){for(var a=[],s=0,l=Math.min(e.length,r.count);s<l;s++){var c=t.addMarker(e[s]);a[c]||(a[c]=new Uint8Array(r.count)),a[c][s]=1}for(var u=0;u<a.length;u++)if(a[u]){var f={data:a[u],type:\\\"uint8\\\",usage:\\\"static\\\"};i[u]?i[u](f):i[u]=o.buffer(f),i[u].data=a[u]}}else{i[t.addMarker(e)]=!0}return e},range:function(t,e,r){var n=e.bounds;if(n)return t||(t=n),e.scale=[1/(t[2]-t[0]),1/(t[3]-t[1])],e.translate=[-t[0],-t[1]],e.scaleFract=v.fract(e.scale),e.translateFract=v.fract(e.translate),t},viewport:function(t){return y(t||[a.drawingBufferWidth,a.drawingBufferHeight])}}]),g){var _=n,w=_.count,T=_.size,k=_.borderSize,M=_.sizeBuffer,A=new Uint8Array(2*w);if(T.length||k.length)for(var S=0;S<w;S++)A[2*S]=Math.round(255*(null==T[S]?T:T[S])/s),A[2*S+1]=Math.round(255*(null==k[S]?k:k[S])/s);M({data:A,usage:\\\"dynamic\\\"})}if(x){var E,L=n,C=L.count,P=L.color,I=L.borderColor,O=L.colorBuffer;if(t.tooManyColors){if(P.length||I.length){E=new Uint8Array(8*C);for(var z=0;z<C;z++){var D=P[z];E[8*z]=h[4*D],E[8*z+1]=h[4*D+1],E[8*z+2]=h[4*D+2],E[8*z+3]=h[4*D+3];var R=I[z];E[8*z+4]=h[4*R],E[8*z+5]=h[4*R+1],E[8*z+6]=h[4*R+2],E[8*z+7]=h[4*R+3]}}}else if(P.length||I.length){E=new Uint8Array(4*C+2);for(var F=0;F<C;F++)null!=P[F]&&(E[4*F]=P[F]%c,E[4*F+1]=Math.floor(P[F]/c)),null!=I[F]&&(E[4*F+2]=I[F]%c,E[4*F+3]=Math.floor(I[F]/c))}O({data:E||new Uint8Array(0),type:\\\"uint8\\\",usage:\\\"dynamic\\\"})}return n}))}},b.prototype.addMarker=function(t){var e,r=this.markerTextures,n=this.regl,i=this.markerCache,a=null==t?0:i.indexOf(t);if(a>=0)return a;if(t instanceof Uint8Array||t instanceof Uint8ClampedArray)e=t;else{e=new Uint8Array(t.length);for(var o=0,s=t.length;o<s;o++)e[o]=255*t[o]}var l=Math.floor(Math.sqrt(e.length));return a=r.length,i.push(t),r.push(n.texture({channels:1,data:e,radius:l,mag:\\\"linear\\\",min:\\\"linear\\\"})),a},b.prototype.updateColor=function(t){var e=this.paletteIds,r=this.palette,n=this.maxColors;Array.isArray(t)||(t=[t]);var i=[];if(\\\"number\\\"==typeof t[0]){var a=[];if(Array.isArray(t))for(var o=0;o<t.length;o+=4)a.push(t.slice(o,o+4));else for(var l=0;l<t.length;l+=4)a.push(t.subarray(l,l+4));t=a}for(var u=0;u<t.length;u++){var f=t[u];f=s(f,\\\"uint8\\\");var h=c(f,!1);if(null==e[h]){var p=r.length;e[h]=Math.floor(p/4),r[p]=f[0],r[p+1]=f[1],r[p+2]=f[2],r[p+3]=f[3]}i[u]=e[h]}return!this.tooManyColors&&r.length>4*n&&(this.tooManyColors=!0),this.updatePalette(r),1===i.length?i[0]:i},b.prototype.updatePalette=function(t){if(!this.tooManyColors){var e=this.maxColors,r=this.paletteTexture,n=Math.ceil(.25*t.length/e);if(n>1)for(var i=.25*(t=t.slice()).length%e;i<n*e;i++)t.push(0,0,0,0);r.height<n&&r.resize(e,n),r.subimage({width:Math.min(.25*t.length,e),height:n,data:t},0,0)}},b.prototype.destroy=function(){return this.groups.forEach((function(t){t.sizeBuffer.destroy(),t.positionBuffer.destroy(),t.positionFractBuffer.destroy(),t.colorBuffer.destroy(),t.activation.forEach((function(t){return t&&t.destroy&&t.destroy()})),t.selectionBuffer.destroy(),t.elements&&t.elements.destroy()})),this.groups.length=0,this.paletteTexture.destroy(),this.markerTextures.forEach((function(t){return t&&t.destroy&&t.destroy()})),this};var _=t(\\\"object-assign\\\");e.exports=function(t,e){var r=new x(t,e),n=r.render.bind(r);return _(n,{render:n,update:r.update.bind(r),draw:r.draw.bind(r),destroy:r.destroy.bind(r),regl:r.regl,gl:r.gl,canvas:r.gl.canvas,groups:r.groups,markers:r.markerCache,palette:r.palette}),n}},{\\\"@plotly/point-cluster\\\":59,\\\"array-bounds\\\":72,\\\"color-id\\\":125,\\\"color-normalize\\\":127,\\\"flatten-vertex-data\\\":244,glslify:434,\\\"is-iexplorer\\\":446,\\\"object-assign\\\":479,\\\"parse-rect\\\":484,\\\"pick-by-alias\\\":490,\\\"to-float32\\\":591,\\\"update-diff\\\":613}],531:[function(t,e,r){\\\"use strict\\\";var n=t(\\\"regl-scatter2d\\\"),i=t(\\\"pick-by-alias\\\"),a=t(\\\"array-bounds\\\"),o=t(\\\"raf\\\"),s=t(\\\"array-range\\\"),l=t(\\\"parse-rect\\\"),c=t(\\\"flatten-vertex-data\\\");function u(t,e){if(!(this instanceof u))return new u(t,e);this.traces=[],this.passes={},this.regl=t,this.scatter=n(t),this.canvas=this.scatter.canvas}function f(t,e,r){return(null!=t.id?t.id:t)<<16|(255&e)<<8|255&r}function h(t,e,r){var n,i,a,o,s=t[e],l=t[r];return s.length>2?(s[0],s[2],n=s[1],i=s[3]):s.length?(n=s[0],i=s[1]):(s.x,n=s.y,s.x+s.width,i=s.y+s.height),l.length>2?(a=l[0],o=l[2],l[1],l[3]):l.length?(a=l[0],o=l[1]):(a=l.x,l.y,o=l.x+l.width,l.y+l.height),[a,n,o,i]}function p(t){if(\\\"number\\\"==typeof t)return[t,t,t,t];if(2===t.length)return[t[0],t[1],t[0],t[1]];var e=l(t);return[e.x,e.y,e.x+e.width,e.y+e.height]}e.exports=u,u.prototype.render=function(){for(var t,e=this,r=[],n=arguments.length;n--;)r[n]=arguments[n];return r.length&&(t=this).update.apply(t,r),this.regl.attributes.preserveDrawingBuffer?this.draw():(this.dirty?null==this.planned&&(this.planned=o((function(){e.draw(),e.dirty=!0,e.planned=null}))):(this.draw(),this.dirty=!0,o((function(){e.dirty=!1}))),this)},u.prototype.update=function(){for(var t,e=[],r=arguments.length;r--;)e[r]=arguments[r];if(e.length){for(var n=0;n<e.length;n++)this.updateItem(n,e[n]);this.traces=this.traces.filter(Boolean);for(var i=[],a=0,o=0;o<this.traces.length;o++){for(var s=this.traces[o],l=this.traces[o].passes,c=0;c<l.length;c++)i.push(this.passes[l[c]]);s.passOffset=a,a+=s.passes.length}return(t=this.scatter).update.apply(t,i),this}},u.prototype.updateItem=function(t,e){var r=this.regl;if(null===e)return this.traces[t]=null,this;if(!e)return this;var n,o=i(e,{data:\\\"data items columns rows values dimensions samples x\\\",snap:\\\"snap cluster\\\",size:\\\"sizes size radius\\\",color:\\\"colors color fill fill-color fillColor\\\",opacity:\\\"opacity alpha transparency opaque\\\",borderSize:\\\"borderSizes borderSize border-size bordersize borderWidth borderWidths border-width borderwidth stroke-width strokeWidth strokewidth outline\\\",borderColor:\\\"borderColors borderColor bordercolor stroke stroke-color strokeColor\\\",marker:\\\"markers marker shape\\\",range:\\\"range ranges databox dataBox\\\",viewport:\\\"viewport viewBox viewbox\\\",domain:\\\"domain domains area areas\\\",padding:\\\"pad padding paddings pads margin margins\\\",transpose:\\\"transpose transposed\\\",diagonal:\\\"diagonal diag showDiagonal\\\",upper:\\\"upper up top upperhalf upperHalf showupperhalf showUpper showUpperHalf\\\",lower:\\\"lower low bottom lowerhalf lowerHalf showlowerhalf showLowerHalf showLower\\\"}),s=this.traces[t]||(this.traces[t]={id:t,buffer:r.buffer({usage:\\\"dynamic\\\",type:\\\"float\\\",data:new Uint8Array}),color:\\\"black\\\",marker:null,size:12,borderColor:\\\"transparent\\\",borderSize:1,viewport:l([r._gl.drawingBufferWidth,r._gl.drawingBufferHeight]),padding:[0,0,0,0],opacity:1,diagonal:!0,upper:!0,lower:!0});if(null!=o.color&&(s.color=o.color),null!=o.size&&(s.size=o.size),null!=o.marker&&(s.marker=o.marker),null!=o.borderColor&&(s.borderColor=o.borderColor),null!=o.borderSize&&(s.borderSize=o.borderSize),null!=o.opacity&&(s.opacity=o.opacity),o.viewport&&(s.viewport=l(o.viewport)),null!=o.diagonal&&(s.diagonal=o.diagonal),null!=o.upper&&(s.upper=o.upper),null!=o.lower&&(s.lower=o.lower),o.data){s.buffer(c(o.data)),s.columns=o.data.length,s.count=o.data[0].length,s.bounds=[];for(var u=0;u<s.columns;u++)s.bounds[u]=a(o.data[u],1)}o.range&&(s.range=o.range,n=s.range&&\\\"number\\\"!=typeof s.range[0]),o.domain&&(s.domain=o.domain);var d=!1;null!=o.padding&&(Array.isArray(o.padding)&&o.padding.length===s.columns&&\\\"number\\\"==typeof o.padding[o.padding.length-1]?(s.padding=o.padding.map(p),d=!0):s.padding=p(o.padding));var m=s.columns,g=s.count,v=s.viewport.width,y=s.viewport.height,x=s.viewport.x,b=s.viewport.y,_=v/m,w=y/m;s.passes=[];for(var T=0;T<m;T++)for(var k=0;k<m;k++)if((s.diagonal||k!==T)&&(s.upper||!(T>k))&&(s.lower||!(T<k))){var M=f(s.id,T,k),A=this.passes[M]||(this.passes[M]={});if(o.data&&(o.transpose?A.positions={x:{buffer:s.buffer,offset:k,count:g,stride:m},y:{buffer:s.buffer,offset:T,count:g,stride:m}}:A.positions={x:{buffer:s.buffer,offset:k*g,count:g},y:{buffer:s.buffer,offset:T*g,count:g}},A.bounds=h(s.bounds,T,k)),o.domain||o.viewport||o.data){var S=d?h(s.padding,T,k):s.padding;if(s.domain){var E=h(s.domain,T,k),L=E[0],C=E[1],P=E[2],I=E[3];A.viewport=[x+L*v+S[0],b+C*y+S[1],x+P*v-S[2],b+I*y-S[3]]}else A.viewport=[x+k*_+_*S[0],b+T*w+w*S[1],x+(k+1)*_-_*S[2],b+(T+1)*w-w*S[3]]}o.color&&(A.color=s.color),o.size&&(A.size=s.size),o.marker&&(A.marker=s.marker),o.borderSize&&(A.borderSize=s.borderSize),o.borderColor&&(A.borderColor=s.borderColor),o.opacity&&(A.opacity=s.opacity),o.range&&(A.range=n?h(s.range,T,k):s.range||A.bounds),s.passes.push(M)}return this},u.prototype.draw=function(){for(var t,e=[],r=arguments.length;r--;)e[r]=arguments[r];if(e.length){for(var n=[],i=0;i<e.length;i++)if(\\\"number\\\"==typeof e[i]){var a=this.traces[e[i]],o=a.passes,l=a.passOffset;n.push.apply(n,s(l,l+o.length))}else if(e[i].length){var c=e[i],u=this.traces[i],f=u.passes,h=u.passOffset;f=f.map((function(t,e){n[h+e]=c}))}(t=this.scatter).draw.apply(t,n)}else this.scatter.draw();return this},u.prototype.destroy=function(){return 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i=Math.log(i),new h(t.zoomMin,t.zoomMax,e,r,n,i,a,u)};var n=t(\\\"filtered-vector\\\"),i=t(\\\"gl-mat4/invert\\\"),a=t(\\\"gl-mat4/rotate\\\"),o=t(\\\"gl-vec3/cross\\\"),s=t(\\\"gl-vec3/normalize\\\"),l=t(\\\"gl-vec3/dot\\\");function c(t,e,r){return Math.sqrt(Math.pow(t,2)+Math.pow(e,2)+Math.pow(r,2))}function u(t){return Math.min(1,Math.max(-1,t))}function f(t){var e=Math.abs(t[0]),r=Math.abs(t[1]),n=Math.abs(t[2]),i=[0,0,0];e>Math.max(r,n)?i[2]=1:r>Math.max(e,n)?i[0]=1:i[1]=1;for(var a=0,o=0,l=0;l<3;++l)a+=t[l]*t[l],o+=i[l]*t[l];for(l=0;l<3;++l)i[l]-=o/a*t[l];return s(i,i),i}function 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e=this.computedUp,r=this.computedRight,n=0,i=0,a=0;a<3;++a)i+=e[a]*r[a],n+=e[a]*e[a];var l=Math.sqrt(n),u=0;for(a=0;a<3;++a)r[a]-=e[a]*i/n,u+=r[a]*r[a],e[a]/=l;var f=Math.sqrt(u);for(a=0;a<3;++a)r[a]/=f;var h=this.computedToward;o(h,e,r),s(h,h);var p=Math.exp(this.computedRadius[0]),d=this.computedAngle[0],m=this.computedAngle[1],g=Math.cos(d),v=Math.sin(d),y=Math.cos(m),x=Math.sin(m),b=this.computedCenter,_=g*y,w=v*y,T=x,k=-g*x,M=-v*x,A=y,S=this.computedEye,E=this.computedMatrix;for(a=0;a<3;++a){var L=_*r[a]+w*h[a]+T*e[a];E[4*a+1]=k*r[a]+M*h[a]+A*e[a],E[4*a+2]=L,E[4*a+3]=0}var C=E[1],P=E[5],I=E[9],O=E[2],z=E[6],D=E[10],R=P*D-I*z,F=I*O-C*D,B=C*z-P*O,N=c(R,F,B);R/=N,F/=N,B/=N,E[0]=R,E[4]=F,E[8]=B;for(a=0;a<3;++a)S[a]=b[a]+E[2+4*a]*p;for(a=0;a<3;++a){u=0;for(var j=0;j<3;++j)u+=E[a+4*j]*S[j];E[12+a]=-u}E[15]=1},p.getMatrix=function(t,e){this.recalcMatrix(t);var r=this.computedMatrix;if(e){for(var n=0;n<16;++n)e[n]=r[n];return e}return r};var d=[0,0,0];p.rotate=function(t,e,r,n){if(this.angle.move(t,e,r),n){this.recalcMatrix(t);var i=this.computedMatrix;d[0]=i[2],d[1]=i[6],d[2]=i[10];for(var o=this.computedUp,s=this.computedRight,l=this.computedToward,c=0;c<3;++c)i[4*c]=o[c],i[4*c+1]=s[c],i[4*c+2]=l[c];a(i,i,n,d);for(c=0;c<3;++c)o[c]=i[4*c],s[c]=i[4*c+1];this.up.set(t,o[0],o[1],o[2]),this.right.set(t,s[0],s[1],s[2])}},p.pan=function(t,e,r,n){e=e||0,r=r||0,n=n||0,this.recalcMatrix(t);var i=this.computedMatrix,a=(Math.exp(this.computedRadius[0]),i[1]),o=i[5],s=i[9],l=c(a,o,s);a/=l,o/=l,s/=l;var u=i[0],f=i[4],h=i[8],p=u*a+f*o+h*s,d=c(u-=a*p,f-=o*p,h-=s*p),m=(u/=d)*e+a*r,g=(f/=d)*e+o*r,v=(h/=d)*e+s*r;this.center.move(t,m,g,v);var y=Math.exp(this.computedRadius[0]);y=Math.max(1e-4,y+n),this.radius.set(t,Math.log(y))},p.translate=function(t,e,r,n){this.center.move(t,e||0,r||0,n||0)},p.setMatrix=function(t,e,r,n){var a=1;\\\"number\\\"==typeof r&&(a=0|r),(a<0||a>3)&&(a=1);var o=(a+2)%3;e||(this.recalcMatrix(t),e=this.computedMatrix);var s=e[a],l=e[a+4],f=e[a+8];if(n){var h=Math.abs(s),p=Math.abs(l),d=Math.abs(f),m=Math.max(h,p,d);h===m?(s=s<0?-1:1,l=f=0):d===m?(f=f<0?-1:1,s=l=0):(l=l<0?-1:1,s=f=0)}else{var g=c(s,l,f);s/=g,l/=g,f/=g}var v,y,x=e[o],b=e[o+4],_=e[o+8],w=x*s+b*l+_*f,T=c(x-=s*w,b-=l*w,_-=f*w),k=l*(_/=T)-f*(b/=T),M=f*(x/=T)-s*_,A=s*b-l*x,S=c(k,M,A);if(k/=S,M/=S,A/=S,this.center.jump(t,H,G,Y),this.radius.idle(t),this.up.jump(t,s,l,f),this.right.jump(t,x,b,_),2===a){var E=e[1],L=e[5],C=e[9],P=E*x+L*b+C*_,I=E*k+L*M+C*A;v=R<0?-Math.PI/2:Math.PI/2,y=Math.atan2(I,P)}else{var O=e[2],z=e[6],D=e[10],R=O*s+z*l+D*f,F=O*x+z*b+D*_,B=O*k+z*M+D*A;v=Math.asin(u(R)),y=Math.atan2(B,F)}this.angle.jump(t,y,v),this.recalcMatrix(t);var N=e[2],j=e[6],U=e[10],V=this.computedMatrix;i(V,e);var q=V[15],H=V[12]/q,G=V[13]/q,Y=V[14]/q,W=Math.exp(this.computedRadius[0]);this.center.jump(t,H-N*W,G-j*W,Y-U*W)},p.lastT=function(){return 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b=a*v-o*g,_=o*m-i*v,w=i*g-a*m,T=c(b,_,w),k=i*l+a*f+o*h,M=m*l+g*f+v*h,A=(b/=T)*l+(_/=T)*f+(w/=T)*h,S=Math.asin(u(k)),E=Math.atan2(A,M),L=this.angle._state,C=L[L.length-1],P=L[L.length-2];C%=2*Math.PI;var I=Math.abs(C+2*Math.PI-E),O=Math.abs(C-E),z=Math.abs(C-2*Math.PI-E);I<O&&(C+=2*Math.PI),z<O&&(C-=2*Math.PI),this.angle.jump(this.angle.lastT(),C,P),this.angle.set(t,E,S)}}}}},{\\\"filtered-vector\\\":242,\\\"gl-mat4/invert\\\":291,\\\"gl-mat4/rotate\\\":297,\\\"gl-vec3/cross\\\":360,\\\"gl-vec3/dot\\\":365,\\\"gl-vec3/normalize\\\":382}],596:[function(t,e,r){\\\"use strict\\\";e.exports=function(t,e,r){var i=t*e,a=n*t,o=a-(a-t),s=t-o,l=n*e,c=l-(l-e),u=e-c,f=s*u-(i-o*c-s*c-o*u);if(r)return r[0]=f,r[1]=i,r;return[f,i]};var n=+(Math.pow(2,27)+1)},{}],597:[function(t,e,r){\\\"use strict\\\";e.exports=function(t,e,r){var n=t+e,i=n-t,a=e-i,o=t-(n-i);if(r)return r[0]=o+a,r[1]=n,r;return[o+a,n]}},{}],598:[function(t,e,r){\\\"use strict\\\";var 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n.add(-n.dayOfWeek(),\\\"d\\\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(13===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return(t=i.year())<0&&t++,i.day()+30*(i.month()-1)+365*(t-1)+Math.floor(t/4)+this.jdEpoch-1},fromJD:function(t){var e=Math.floor(t)+.5-this.jdEpoch,r=Math.floor((e-Math.floor((e+366)/1461))/365)+1;r<=0&&r--,e=Math.floor(t)+.5-this.newDate(r,1,1).toJD();var n=Math.floor(e/30)+1,i=e-30*(n-1)+1;return this.newDate(r,n,i)}}),n.calendars.coptic=a},{\\\"../main\\\":636,\\\"object-assign\\\":479}],624:[function(t,e,r){var n=t(\\\"../main\\\"),i=t(\\\"object-assign\\\");function a(t){this.local=this.regionalOptions[t||\\\"\\\"]||this.regionalOptions[\\\"\\\"]}a.prototype=new 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this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),!1},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),13},daysInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),400},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\\\"d\\\"),Math.floor((n.dayOfYear()-1)/8)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]},daysInWeek:function(){return 8},dayOfWeek:function(t,e,r){return(this._validate(t,e,r,n.local.invalidDate).day()+1)%8},weekDay:function(t,e,r){var n=this.dayOfWeek(t,e,r);return n>=2&&n<=6},extraInfo:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return{century:o[Math.floor((i.year()-1)/100)+1]||\\\"\\\"}},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return t=i.year()+(i.year()<0?1:0),e=i.month(),(r=i.day())+(e>1?16:0)+(e>2?32*(e-2):0)+400*(t-1)+this.jdEpoch-1},fromJD:function(t){t=Math.floor(t+.5)-Math.floor(this.jdEpoch)-1;var e=Math.floor(t/400)+1;t-=400*(e-1),t+=t>15?16:0;var r=Math.floor(t/32)+1,n=t-32*(r-1)+1;return this.newDate(e<=0?e-1:e,r,n)}});var o={20:\\\"Fruitbat\\\",21:\\\"Anchovy\\\"};n.calendars.discworld=a},{\\\"../main\\\":636,\\\"object-assign\\\":479}],625:[function(t,e,r){var n=t(\\\"../main\\\"),i=t(\\\"object-assign\\\");function a(t){this.local=this.regionalOptions[t||\\\"\\\"]||this.regionalOptions[\\\"\\\"]}a.prototype=new n.baseCalendar,i(a.prototype,{name:\\\"Ethiopian\\\",jdEpoch:1724220.5,daysPerMonth:[30,30,30,30,30,30,30,30,30,30,30,30,5],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\\\"\\\":{name:\\\"Ethiopian\\\",epochs:[\\\"BEE\\\",\\\"EE\\\"],monthNames:[\\\"Meskerem\\\",\\\"Tikemet\\\",\\\"Hidar\\\",\\\"Tahesas\\\",\\\"Tir\\\",\\\"Yekatit\\\",\\\"Megabit\\\",\\\"Miazia\\\",\\\"Genbot\\\",\\\"Sene\\\",\\\"Hamle\\\",\\\"Nehase\\\",\\\"Pagume\\\"],monthNamesShort:[\\\"Mes\\\",\\\"Tik\\\",\\\"Hid\\\",\\\"Tah\\\",\\\"Tir\\\",\\\"Yek\\\",\\\"Meg\\\",\\\"Mia\\\",\\\"Gen\\\",\\\"Sen\\\",\\\"Ham\\\",\\\"Neh\\\",\\\"Pag\\\"],dayNames:[\\\"Ehud\\\",\\\"Segno\\\",\\\"Maksegno\\\",\\\"Irob\\\",\\\"Hamus\\\",\\\"Arb\\\",\\\"Kidame\\\"],dayNamesShort:[\\\"Ehu\\\",\\\"Seg\\\",\\\"Mak\\\",\\\"Iro\\\",\\\"Ham\\\",\\\"Arb\\\",\\\"Kid\\\"],dayNamesMin:[\\\"Eh\\\",\\\"Se\\\",\\\"Ma\\\",\\\"Ir\\\",\\\"Ha\\\",\\\"Ar\\\",\\\"Ki\\\"],digits:null,dateFormat:\\\"dd/mm/yyyy\\\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return(t=e.year()+(e.year()<0?1:0))%4==3||t%4==-1},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear||n.regionalOptions[\\\"\\\"].invalidYear),13},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\\\"d\\\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(13===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return(t=i.year())<0&&t++,i.day()+30*(i.month()-1)+365*(t-1)+Math.floor(t/4)+this.jdEpoch-1},fromJD:function(t){var e=Math.floor(t)+.5-this.jdEpoch,r=Math.floor((e-Math.floor((e+366)/1461))/365)+1;r<=0&&r--,e=Math.floor(t)+.5-this.newDate(r,1,1).toJD();var n=Math.floor(e/30)+1,i=e-30*(n-1)+1;return this.newDate(r,n,i)}}),n.calendars.ethiopian=a},{\\\"../main\\\":636,\\\"object-assign\\\":479}],626:[function(t,e,r){var n=t(\\\"../main\\\"),i=t(\\\"object-assign\\\");function a(t){this.local=this.regionalOptions[t||\\\"\\\"]||this.regionalOptions[\\\"\\\"]}function o(t,e){return t-e*Math.floor(t/e)}a.prototype=new n.baseCalendar,i(a.prototype,{name:\\\"Hebrew\\\",jdEpoch:347995.5,daysPerMonth:[30,29,30,29,30,29,30,29,30,29,30,29,29],hasYearZero:!1,minMonth:1,firstMonth:7,minDay:1,regionalOptions:{\\\"\\\":{name:\\\"Hebrew\\\",epochs:[\\\"BAM\\\",\\\"AM\\\"],monthNames:[\\\"Nisan\\\",\\\"Iyar\\\",\\\"Sivan\\\",\\\"Tammuz\\\",\\\"Av\\\",\\\"Elul\\\",\\\"Tishrei\\\",\\\"Cheshvan\\\",\\\"Kislev\\\",\\\"Tevet\\\",\\\"Shevat\\\",\\\"Adar\\\",\\\"Adar II\\\"],monthNamesShort:[\\\"Nis\\\",\\\"Iya\\\",\\\"Siv\\\",\\\"Tam\\\",\\\"Av\\\",\\\"Elu\\\",\\\"Tis\\\",\\\"Che\\\",\\\"Kis\\\",\\\"Tev\\\",\\\"She\\\",\\\"Ada\\\",\\\"Ad2\\\"],dayNames:[\\\"Yom Rishon\\\",\\\"Yom Sheni\\\",\\\"Yom Shlishi\\\",\\\"Yom Revi'i\\\",\\\"Yom Chamishi\\\",\\\"Yom Shishi\\\",\\\"Yom Shabbat\\\"],dayNamesShort:[\\\"Ris\\\",\\\"She\\\",\\\"Shl\\\",\\\"Rev\\\",\\\"Cha\\\",\\\"Shi\\\",\\\"Sha\\\"],dayNamesMin:[\\\"Ri\\\",\\\"She\\\",\\\"Shl\\\",\\\"Re\\\",\\\"Ch\\\",\\\"Shi\\\",\\\"Sha\\\"],digits:null,dateFormat:\\\"dd/mm/yyyy\\\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return this._leapYear(e.year())},_leapYear:function(t){return o(7*(t=t<0?t+1:t)+1,19)<7},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),this._leapYear(t.year?t.year():t)?13:12},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\\\"d\\\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){return t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year(),this.toJD(-1===t?1:t+1,7,1)-this.toJD(t,7,1)},daysInMonth:function(t,e){return t.year&&(e=t.month(),t=t.year()),this._validate(t,e,this.minDay,n.local.invalidMonth),12===e&&this.leapYear(t)||8===e&&5===o(this.daysInYear(t),10)?30:9===e&&3===o(this.daysInYear(t),10)?29:this.daysPerMonth[e-1]},weekDay:function(t,e,r){return 6!==this.dayOfWeek(t,e,r)},extraInfo:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return{yearType:(this.leapYear(i)?\\\"embolismic\\\":\\\"common\\\")+\\\" \\\"+[\\\"deficient\\\",\\\"regular\\\",\\\"complete\\\"][this.daysInYear(i)%10-3]}},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=i.year(),e=i.month(),r=i.day();var a=t<=0?t+1:t,o=this.jdEpoch+this._delay1(a)+this._delay2(a)+r+1;if(e<7){for(var s=7;s<=this.monthsInYear(t);s++)o+=this.daysInMonth(t,s);for(s=1;s<e;s++)o+=this.daysInMonth(t,s)}else for(s=7;s<e;s++)o+=this.daysInMonth(t,s);return o},_delay1:function(t){var e=Math.floor((235*t-234)/19),r=12084+13753*e,n=29*e+Math.floor(r/25920);return o(3*(n+1),7)<3&&n++,n},_delay2:function(t){var e=this._delay1(t-1),r=this._delay1(t);return this._delay1(t+1)-r==356?2:r-e==382?1:0},fromJD:function(t){t=Math.floor(t)+.5;for(var e=Math.floor(98496*(t-this.jdEpoch)/35975351)-1;t>=this.toJD(-1===e?1:e+1,7,1);)e++;for(var r=t<this.toJD(e,1,1)?7:1;t>this.toJD(e,r,this.daysInMonth(e,r));)r++;var n=t-this.toJD(e,r,1)+1;return this.newDate(e,r,n)}}),n.calendars.hebrew=a},{\\\"../main\\\":636,\\\"object-assign\\\":479}],627:[function(t,e,r){var n=t(\\\"../main\\\"),i=t(\\\"object-assign\\\");function a(t){this.local=this.regionalOptions[t||\\\"\\\"]||this.regionalOptions[\\\"\\\"]}a.prototype=new n.baseCalendar,i(a.prototype,{name:\\\"Islamic\\\",jdEpoch:1948439.5,daysPerMonth:[30,29,30,29,30,29,30,29,30,29,30,29],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\\\"\\\":{name:\\\"Islamic\\\",epochs:[\\\"BH\\\",\\\"AH\\\"],monthNames:[\\\"Muharram\\\",\\\"Safar\\\",\\\"Rabi' al-awwal\\\",\\\"Rabi' al-thani\\\",\\\"Jumada al-awwal\\\",\\\"Jumada al-thani\\\",\\\"Rajab\\\",\\\"Sha'aban\\\",\\\"Ramadan\\\",\\\"Shawwal\\\",\\\"Dhu al-Qi'dah\\\",\\\"Dhu al-Hijjah\\\"],monthNamesShort:[\\\"Muh\\\",\\\"Saf\\\",\\\"Rab1\\\",\\\"Rab2\\\",\\\"Jum1\\\",\\\"Jum2\\\",\\\"Raj\\\",\\\"Sha'\\\",\\\"Ram\\\",\\\"Shaw\\\",\\\"DhuQ\\\",\\\"DhuH\\\"],dayNames:[\\\"Yawm al-ahad\\\",\\\"Yawm al-ithnayn\\\",\\\"Yawm ath-thulaathaa'\\\",\\\"Yawm al-arbi'aa'\\\",\\\"Yawm al-kham\\\\u012bs\\\",\\\"Yawm al-jum'a\\\",\\\"Yawm as-sabt\\\"],dayNamesShort:[\\\"Aha\\\",\\\"Ith\\\",\\\"Thu\\\",\\\"Arb\\\",\\\"Kha\\\",\\\"Jum\\\",\\\"Sab\\\"],dayNamesMin:[\\\"Ah\\\",\\\"It\\\",\\\"Th\\\",\\\"Ar\\\",\\\"Kh\\\",\\\"Ju\\\",\\\"Sa\\\"],digits:null,dateFormat:\\\"yyyy/mm/dd\\\",firstDay:6,isRTL:!1}},leapYear:function(t){return(11*this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year()+14)%30<11},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\\\"d\\\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){return this.leapYear(t)?355:354},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return t=i.year(),e=i.month(),t=t<=0?t+1:t,(r=i.day())+Math.ceil(29.5*(e-1))+354*(t-1)+Math.floor((3+11*t)/30)+this.jdEpoch-1},fromJD:function(t){t=Math.floor(t)+.5;var e=Math.floor((30*(t-this.jdEpoch)+10646)/10631);e=e<=0?e-1:e;var r=Math.min(12,Math.ceil((t-29-this.toJD(e,1,1))/29.5)+1),n=t-this.toJD(e,r,1)+1;return this.newDate(e,r,n)}}),n.calendars.islamic=a},{\\\"../main\\\":636,\\\"object-assign\\\":479}],628:[function(t,e,r){var n=t(\\\"../main\\\"),i=t(\\\"object-assign\\\");function a(t){this.local=this.regionalOptions[t||\\\"\\\"]||this.regionalOptions[\\\"\\\"]}a.prototype=new n.baseCalendar,i(a.prototype,{name:\\\"Julian\\\",jdEpoch:1721423.5,daysPerMonth:[31,28,31,30,31,30,31,31,30,31,30,31],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\\\"\\\":{name:\\\"Julian\\\",epochs:[\\\"BC\\\",\\\"AD\\\"],monthNames:[\\\"January\\\",\\\"February\\\",\\\"March\\\",\\\"April\\\",\\\"May\\\",\\\"June\\\",\\\"July\\\",\\\"August\\\",\\\"September\\\",\\\"October\\\",\\\"November\\\",\\\"December\\\"],monthNamesShort:[\\\"Jan\\\",\\\"Feb\\\",\\\"Mar\\\",\\\"Apr\\\",\\\"May\\\",\\\"Jun\\\",\\\"Jul\\\",\\\"Aug\\\",\\\"Sep\\\",\\\"Oct\\\",\\\"Nov\\\",\\\"Dec\\\"],dayNames:[\\\"Sunday\\\",\\\"Monday\\\",\\\"Tuesday\\\",\\\"Wednesday\\\",\\\"Thursday\\\",\\\"Friday\\\",\\\"Saturday\\\"],dayNamesShort:[\\\"Sun\\\",\\\"Mon\\\",\\\"Tue\\\",\\\"Wed\\\",\\\"Thu\\\",\\\"Fri\\\",\\\"Sat\\\"],dayNamesMin:[\\\"Su\\\",\\\"Mo\\\",\\\"Tu\\\",\\\"We\\\",\\\"Th\\\",\\\"Fr\\\",\\\"Sa\\\"],digits:null,dateFormat:\\\"mm/dd/yyyy\\\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return(t=e.year()<0?e.year()+1:e.year())%4==0},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(4-(n.dayOfWeek()||7),\\\"d\\\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return t=i.year(),e=i.month(),r=i.day(),t<0&&t++,e<=2&&(t--,e+=12),Math.floor(365.25*(t+4716))+Math.floor(30.6001*(e+1))+r-1524.5},fromJD:function(t){var e=Math.floor(t+.5)+1524,r=Math.floor((e-122.1)/365.25),n=Math.floor(365.25*r),i=Math.floor((e-n)/30.6001),a=i-Math.floor(i<14?1:13),o=r-Math.floor(a>2?4716:4715),s=e-n-Math.floor(30.6001*i);return o<=0&&o--,this.newDate(o,a,s)}}),n.calendars.julian=a},{\\\"../main\\\":636,\\\"object-assign\\\":479}],629:[function(t,e,r){var n=t(\\\"../main\\\"),i=t(\\\"object-assign\\\");function a(t){this.local=this.regionalOptions[t||\\\"\\\"]||this.regionalOptions[\\\"\\\"]}function o(t,e){return t-e*Math.floor(t/e)}function s(t,e){return o(t-1,e)+1}a.prototype=new n.baseCalendar,i(a.prototype,{name:\\\"Mayan\\\",jdEpoch:584282.5,hasYearZero:!0,minMonth:0,firstMonth:0,minDay:0,regionalOptions:{\\\"\\\":{name:\\\"Mayan\\\",epochs:[\\\"\\\",\\\"\\\"],monthNames:[\\\"0\\\",\\\"1\\\",\\\"2\\\",\\\"3\\\",\\\"4\\\",\\\"5\\\",\\\"6\\\",\\\"7\\\",\\\"8\\\",\\\"9\\\",\\\"10\\\",\\\"11\\\",\\\"12\\\",\\\"13\\\",\\\"14\\\",\\\"15\\\",\\\"16\\\",\\\"17\\\"],monthNamesShort:[\\\"0\\\",\\\"1\\\",\\\"2\\\",\\\"3\\\",\\\"4\\\",\\\"5\\\",\\\"6\\\",\\\"7\\\",\\\"8\\\",\\\"9\\\",\\\"10\\\",\\\"11\\\",\\\"12\\\",\\\"13\\\",\\\"14\\\",\\\"15\\\",\\\"16\\\",\\\"17\\\"],dayNames:[\\\"0\\\",\\\"1\\\",\\\"2\\\",\\\"3\\\",\\\"4\\\",\\\"5\\\",\\\"6\\\",\\\"7\\\",\\\"8\\\",\\\"9\\\",\\\"10\\\",\\\"11\\\",\\\"12\\\",\\\"13\\\",\\\"14\\\",\\\"15\\\",\\\"16\\\",\\\"17\\\",\\\"18\\\",\\\"19\\\"],dayNamesShort:[\\\"0\\\",\\\"1\\\",\\\"2\\\",\\\"3\\\",\\\"4\\\",\\\"5\\\",\\\"6\\\",\\\"7\\\",\\\"8\\\",\\\"9\\\",\\\"10\\\",\\\"11\\\",\\\"12\\\",\\\"13\\\",\\\"14\\\",\\\"15\\\",\\\"16\\\",\\\"17\\\",\\\"18\\\",\\\"19\\\"],dayNamesMin:[\\\"0\\\",\\\"1\\\",\\\"2\\\",\\\"3\\\",\\\"4\\\",\\\"5\\\",\\\"6\\\",\\\"7\\\",\\\"8\\\",\\\"9\\\",\\\"10\\\",\\\"11\\\",\\\"12\\\",\\\"13\\\",\\\"14\\\",\\\"15\\\",\\\"16\\\",\\\"17\\\",\\\"18\\\",\\\"19\\\"],digits:null,dateFormat:\\\"YYYY.m.d\\\",firstDay:0,isRTL:!1,haabMonths:[\\\"Pop\\\",\\\"Uo\\\",\\\"Zip\\\",\\\"Zotz\\\",\\\"Tzec\\\",\\\"Xul\\\",\\\"Yaxkin\\\",\\\"Mol\\\",\\\"Chen\\\",\\\"Yax\\\",\\\"Zac\\\",\\\"Ceh\\\",\\\"Mac\\\",\\\"Kankin\\\",\\\"Muan\\\",\\\"Pax\\\",\\\"Kayab\\\",\\\"Cumku\\\",\\\"Uayeb\\\"],tzolkinMonths:[\\\"Imix\\\",\\\"Ik\\\",\\\"Akbal\\\",\\\"Kan\\\",\\\"Chicchan\\\",\\\"Cimi\\\",\\\"Manik\\\",\\\"Lamat\\\",\\\"Muluc\\\",\\\"Oc\\\",\\\"Chuen\\\",\\\"Eb\\\",\\\"Ben\\\",\\\"Ix\\\",\\\"Men\\\",\\\"Cib\\\",\\\"Caban\\\",\\\"Etznab\\\",\\\"Cauac\\\",\\\"Ahau\\\"]}},leapYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),!1},formatYear:function(t){t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year();var e=Math.floor(t/400);return t%=400,t+=t<0?400:0,e+\\\".\\\"+Math.floor(t/20)+\\\".\\\"+t%20},forYear:function(t){if((t=t.split(\\\".\\\")).length<3)throw\\\"Invalid Mayan year\\\";for(var e=0,r=0;r<t.length;r++){var n=parseInt(t[r],10);if(Math.abs(n)>19||r>0&&n<0)throw\\\"Invalid Mayan year\\\";e=20*e+n}return e},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),18},weekOfYear:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate),0},daysInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),360},daysInMonth:function(t,e){return this._validate(t,e,this.minDay,n.local.invalidMonth),20},daysInWeek:function(){return 5},dayOfWeek:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate).day()},weekDay:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate),!0},extraInfo:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate).toJD(),a=this._toHaab(i),o=this._toTzolkin(i);return{haabMonthName:this.local.haabMonths[a[0]-1],haabMonth:a[0],haabDay:a[1],tzolkinDayName:this.local.tzolkinMonths[o[0]-1],tzolkinDay:o[0],tzolkinTrecena:o[1]}},_toHaab:function(t){var e=o((t-=this.jdEpoch)+8+340,365);return[Math.floor(e/20)+1,o(e,20)]},_toTzolkin:function(t){return[s((t-=this.jdEpoch)+20,20),s(t+4,13)]},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return i.day()+20*i.month()+360*i.year()+this.jdEpoch},fromJD:function(t){t=Math.floor(t)+.5-this.jdEpoch;var e=Math.floor(t/360);t%=360,t+=t<0?360:0;var r=Math.floor(t/20),n=t%20;return this.newDate(e,r,n)}}),n.calendars.mayan=a},{\\\"../main\\\":636,\\\"object-assign\\\":479}],630:[function(t,e,r){var n=t(\\\"../main\\\"),i=t(\\\"object-assign\\\");function a(t){this.local=this.regionalOptions[t||\\\"\\\"]||this.regionalOptions[\\\"\\\"]}a.prototype=new n.baseCalendar;var o=n.instance(\\\"gregorian\\\");i(a.prototype,{name:\\\"Nanakshahi\\\",jdEpoch:2257673.5,daysPerMonth:[31,31,31,31,31,30,30,30,30,30,30,30],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\\\"\\\":{name:\\\"Nanakshahi\\\",epochs:[\\\"BN\\\",\\\"AN\\\"],monthNames:[\\\"Chet\\\",\\\"Vaisakh\\\",\\\"Jeth\\\",\\\"Harh\\\",\\\"Sawan\\\",\\\"Bhadon\\\",\\\"Assu\\\",\\\"Katak\\\",\\\"Maghar\\\",\\\"Poh\\\",\\\"Magh\\\",\\\"Phagun\\\"],monthNamesShort:[\\\"Che\\\",\\\"Vai\\\",\\\"Jet\\\",\\\"Har\\\",\\\"Saw\\\",\\\"Bha\\\",\\\"Ass\\\",\\\"Kat\\\",\\\"Mgr\\\",\\\"Poh\\\",\\\"Mgh\\\",\\\"Pha\\\"],dayNames:[\\\"Somvaar\\\",\\\"Mangalvar\\\",\\\"Budhvaar\\\",\\\"Veervaar\\\",\\\"Shukarvaar\\\",\\\"Sanicharvaar\\\",\\\"Etvaar\\\"],dayNamesShort:[\\\"Som\\\",\\\"Mangal\\\",\\\"Budh\\\",\\\"Veer\\\",\\\"Shukar\\\",\\\"Sanichar\\\",\\\"Et\\\"],dayNamesMin:[\\\"So\\\",\\\"Ma\\\",\\\"Bu\\\",\\\"Ve\\\",\\\"Sh\\\",\\\"Sa\\\",\\\"Et\\\"],digits:null,dateFormat:\\\"dd-mm-yyyy\\\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear||n.regionalOptions[\\\"\\\"].invalidYear);return o.leapYear(e.year()+(e.year()<1?1:0)+1469)},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(1-(n.dayOfWeek()||7),\\\"d\\\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidMonth);(t=i.year())<0&&t++;for(var a=i.day(),s=1;s<i.month();s++)a+=this.daysPerMonth[s-1];return a+o.toJD(t+1468,3,13)},fromJD:function(t){t=Math.floor(t+.5);for(var e=Math.floor((t-(this.jdEpoch-1))/366);t>=this.toJD(e+1,1,1);)e++;for(var r=t-Math.floor(this.toJD(e,1,1)+.5)+1,n=1;r>this.daysInMonth(e,n);)r-=this.daysInMonth(e,n),n++;return this.newDate(e,n,r)}}),n.calendars.nanakshahi=a},{\\\"../main\\\":636,\\\"object-assign\\\":479}],631:[function(t,e,r){var n=t(\\\"../main\\\"),i=t(\\\"object-assign\\\");function a(t){this.local=this.regionalOptions[t||\\\"\\\"]||this.regionalOptions[\\\"\\\"]}a.prototype=new 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this.daysInYear(t)!==this.daysPerYear},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\\\"d\\\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){if(t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year(),void 0===this.NEPALI_CALENDAR_DATA[t])return this.daysPerYear;for(var e=0,r=this.minMonth;r<=12;r++)e+=this.NEPALI_CALENDAR_DATA[t][r];return e},daysInMonth:function(t,e){return t.year&&(e=t.month(),t=t.year()),this._validate(t,e,this.minDay,n.local.invalidMonth),void 0===this.NEPALI_CALENDAR_DATA[t]?this.daysPerMonth[e-1]:this.NEPALI_CALENDAR_DATA[t][e]},weekDay:function(t,e,r){return 6!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=i.year(),e=i.month(),r=i.day();var a=n.instance(),o=0,s=e,l=t;this._createMissingCalendarData(t);var c=t-(s>9||9===s&&r>=this.NEPALI_CALENDAR_DATA[l][0]?56:57);for(9!==e&&(o=r,s--);9!==s;)s<=0&&(s=12,l--),o+=this.NEPALI_CALENDAR_DATA[l][s],s--;return 9===e?(o+=r-this.NEPALI_CALENDAR_DATA[l][0])<0&&(o+=a.daysInYear(c)):o+=this.NEPALI_CALENDAR_DATA[l][9]-this.NEPALI_CALENDAR_DATA[l][0],a.newDate(c,1,1).add(o,\\\"d\\\").toJD()},fromJD:function(t){var e=n.instance().fromJD(t),r=e.year(),i=e.dayOfYear(),a=r+56;this._createMissingCalendarData(a);for(var o=9,s=this.NEPALI_CALENDAR_DATA[a][0],l=this.NEPALI_CALENDAR_DATA[a][o]-s+1;i>l;)++o>12&&(o=1,a++),l+=this.NEPALI_CALENDAR_DATA[a][o];var c=this.NEPALI_CALENDAR_DATA[a][o]-(l-i);return this.newDate(a,o,c)},_createMissingCalendarData:function(t){var e=this.daysPerMonth.slice(0);e.unshift(17);for(var r=t-1;r<t+2;r++)void 0===this.NEPALI_CALENDAR_DATA[r]&&(this.NEPALI_CALENDAR_DATA[r]=e)},NEPALI_CALENDAR_DATA:{1970:[18,31,31,32,31,31,31,30,29,30,29,30,30],1971:[18,31,31,32,31,32,30,30,29,30,29,30,30],1972:[17,31,32,31,32,31,30,30,30,29,29,30,30],1973:[19,30,32,31,32,31,30,30,30,29,30,29,31],1974:[19,31,31,32,30,31,31,30,29,30,29,30,30],1975:[18,31,31,32,32,30,31,30,29,30,29,30,30],1976:[17,31,32,31,32,31,30,30,30,29,29,30,31],1977:[18,31,32,31,32,31,31,29,30,29,30,29,31],1978:[18,31,31,32,31,31,31,30,29,30,29,30,30],1979:[18,31,31,32,32,31,30,30,29,30,29,30,30],1980:[17,31,32,31,32,31,30,30,30,29,29,30,31],1981:[18,31,31,31,32,31,31,29,30,30,29,30,30],1982:[18,31,31,32,31,31,31,30,29,30,29,30,30],1983:[18,31,31,32,32,31,30,30,29,30,29,30,30],1984:[17,31,32,31,32,31,30,30,30,29,29,30,31],1985:[18,31,31,31,32,31,31,29,30,30,29,30,30],1986:[18,31,31,32,31,31,31,30,29,30,29,30,30],1987:[18,31,32,31,32,31,30,30,29,30,29,30,30],1988:[17,31,32,31,32,31,30,30,30,29,29,30,31],1989:[18,31,31,31,32,31,31,30,29,30,29,30,30],1990:[18,31,31,32,31,31,31,30,29,30,29,30,30],1991:[18,31,32,31,32,31,30,30,29,30,29,30,30],1992:[17,31,32,31,32,31,30,30,30,29,30,29,31],1993:[18,31,31,31,32,31,31,30,29,30,29,30,30],1994:[18,31,31,32,31,31,31,30,29,30,29,30,30],1995:[17,31,32,31,32,31,30,30,30,29,29,30,30],1996:[17,31,32,31,32,31,30,30,30,29,30,29,31],1997:[18,31,31,32,31,31,31,30,29,30,29,30,30],1998:[18,31,31,32,31,31,31,30,29,30,29,30,30],1999:[17,31,32,31,32,31,30,30,30,29,29,30,31],2e3:[17,30,32,31,32,31,30,30,30,29,30,29,31],2001:[18,31,31,32,31,31,31,30,29,30,29,30,30],2002:[18,31,31,32,32,31,30,30,29,30,29,30,30],2003:[17,31,32,31,32,31,30,30,30,29,29,30,31],2004:[17,30,32,31,32,31,30,30,30,29,30,29,31],2005:[18,31,31,32,31,31,31,30,29,30,29,30,30],2006:[18,31,31,32,32,31,30,30,29,30,29,30,30],2007:[17,31,32,31,32,31,30,30,30,29,29,30,31],2008:[17,31,31,31,32,31,31,29,30,30,29,29,31],2009:[18,31,31,32,31,31,31,30,29,30,29,30,30],2010:[18,31,31,32,32,31,30,30,29,30,29,30,30],2011:[17,31,32,31,32,31,30,30,30,29,29,30,31],2012:[17,31,31,31,32,31,31,29,30,30,29,30,30],2013:[18,31,31,32,31,31,31,30,29,30,29,30,30],2014:[18,31,31,32,32,31,30,30,29,30,29,30,30],2015:[17,31,32,31,32,31,30,30,30,29,29,30,31],2016:[17,31,31,31,32,31,31,29,30,30,29,30,30],2017:[18,31,31,32,31,31,31,30,29,30,29,30,30],2018:[18,31,32,31,32,31,30,30,29,30,29,30,30],2019:[17,31,32,31,32,31,30,30,30,29,30,29,31],2020:[17,31,31,31,32,31,31,30,29,30,29,30,30],2021:[18,31,31,32,31,31,31,30,29,30,29,30,30],2022:[17,31,32,31,32,31,30,30,30,29,29,30,30],2023:[17,31,32,31,32,31,30,30,30,29,30,29,31],2024:[17,31,31,31,32,31,31,30,29,30,29,30,30],2025:[18,31,31,32,31,31,31,30,29,30,29,30,30],2026:[17,31,32,31,32,31,30,30,30,29,29,30,31],2027:[17,30,32,31,32,31,30,30,30,29,30,29,31],2028:[17,31,31,32,31,31,31,30,29,30,29,30,30],2029:[18,31,31,32,31,32,30,30,29,30,29,30,30],2030:[17,31,32,31,32,31,30,30,30,30,30,30,31],2031:[17,31,32,31,32,31,31,31,31,31,31,31,31],2032:[17,32,32,32,32,32,32,32,32,32,32,32,32],2033:[18,31,31,32,32,31,30,30,29,30,29,30,30],2034:[17,31,32,31,32,31,30,30,30,29,29,30,31],2035:[17,30,32,31,32,31,31,29,30,30,29,29,31],2036:[17,31,31,32,31,31,31,30,29,30,29,30,30],2037:[18,31,31,32,32,31,30,30,29,30,29,30,30],2038:[17,31,32,31,32,31,30,30,30,29,29,30,31],2039:[17,31,31,31,32,31,31,29,30,30,29,30,30],2040:[17,31,31,32,31,31,31,30,29,30,29,30,30],2041:[18,31,31,32,32,31,30,30,29,30,29,30,30],2042:[17,31,32,31,32,31,30,30,30,29,29,30,31],2043:[17,31,31,31,32,31,31,29,30,30,29,30,30],2044:[17,31,31,32,31,31,31,30,29,30,29,30,30],2045:[18,31,32,31,32,31,30,30,29,30,29,30,30],2046:[17,31,32,31,32,31,30,30,30,29,29,30,31],2047:[17,31,31,31,32,31,31,30,29,30,29,30,30],2048:[17,31,31,32,31,31,31,30,29,30,29,30,30],2049:[17,31,32,31,32,31,30,30,30,29,29,30,30],2050:[17,31,32,31,32,31,30,30,30,29,30,29,31],2051:[17,31,31,31,32,31,31,30,29,30,29,30,30],2052:[17,31,31,32,31,31,31,30,29,30,29,30,30],2053:[17,31,32,31,32,31,30,30,30,29,29,30,30],2054:[17,31,32,31,32,31,30,30,30,29,30,29,31],2055:[17,31,31,32,31,31,31,30,29,30,30,29,30],2056:[17,31,31,32,31,32,30,30,29,30,29,30,30],2057:[17,31,32,31,32,31,30,30,30,29,29,30,31],2058:[17,30,32,31,32,31,30,30,30,29,30,29,31],2059:[17,31,31,32,31,31,31,30,29,30,29,30,30],2060:[17,31,31,32,32,31,30,30,29,30,29,30,30],2061:[17,31,32,31,32,31,30,30,30,29,29,30,31],2062:[17,30,32,31,32,31,31,29,30,29,30,29,31],2063:[17,31,31,32,31,31,31,30,29,30,29,30,30],2064:[17,31,31,32,32,31,30,30,29,30,29,30,30],2065:[17,31,32,31,32,31,30,30,30,29,29,30,31],2066:[17,31,31,31,32,31,31,29,30,30,29,29,31],2067:[17,31,31,32,31,31,31,30,29,30,29,30,30],2068:[17,31,31,32,32,31,30,30,29,30,29,30,30],2069:[17,31,32,31,32,31,30,30,30,29,29,30,31],2070:[17,31,31,31,32,31,31,29,30,30,29,30,30],2071:[17,31,31,32,31,31,31,30,29,30,29,30,30],2072:[17,31,32,31,32,31,30,30,29,30,29,30,30],2073:[17,31,32,31,32,31,30,30,30,29,29,30,31],2074:[17,31,31,31,32,31,31,30,29,30,29,30,30],2075:[17,31,31,32,31,31,31,30,29,30,29,30,30],2076:[16,31,32,31,32,31,30,30,30,29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e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return 682*((e.year()-(e.year()>0?474:473))%2820+474+38)%2816<682},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-(n.dayOfWeek()+1)%7,\\\"d\\\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=i.year(),e=i.month(),r=i.day();var a=t-(t>=0?474:473),s=474+o(a,2820);return r+(e<=7?31*(e-1):30*(e-1)+6)+Math.floor((682*s-110)/2816)+365*(s-1)+1029983*Math.floor(a/2820)+this.jdEpoch-1},fromJD:function(t){var e=(t=Math.floor(t)+.5)-this.toJD(475,1,1),r=Math.floor(e/1029983),n=o(e,1029983),i=2820;if(1029982!==n){var a=Math.floor(n/366),s=o(n,366);i=Math.floor((2134*a+2816*s+2815)/1028522)+a+1}var l=i+2820*r+474;l=l<=0?l-1:l;var 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e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);t=this._t2gYear(e.year());return a.leapYear(t)},weekOfYear:function(t,e,r){var i=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);t=this._t2gYear(i.year());return a.weekOfYear(t,i.month(),i.day())},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=this._t2gYear(i.year());return a.toJD(t,i.month(),i.day())},fromJD:function(t){var e=a.fromJD(t),r=this._g2tYear(e.year());return this.newDate(r,e.month(),e.day())},_t2gYear:function(t){return t+this.yearsOffset+(t>=-this.yearsOffset&&t<=-1?1:0)},_g2tYear:function(t){return 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e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);t=this._t2gYear(e.year());return a.leapYear(t)},weekOfYear:function(t,e,r){var i=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);t=this._t2gYear(i.year());return a.weekOfYear(t,i.month(),i.day())},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=this._t2gYear(i.year());return a.toJD(t,i.month(),i.day())},fromJD:function(t){var e=a.fromJD(t),r=this._g2tYear(e.year());return this.newDate(r,e.month(),e.day())},_t2gYear:function(t){return t-this.yearsOffset-(t>=1&&t<=this.yearsOffset?1:0)},_g2tYear:function(t){return t+this.yearsOffset+(t>=-this.yearsOffset&&t<=-1?1:0)}}),n.calendars.thai=o},{\\\"../main\\\":636,\\\"object-assign\\\":479}],635:[function(t,e,r){var n=t(\\\"../main\\\"),i=t(\\\"object-assign\\\");function a(t){this.local=this.regionalOptions[t||\\\"\\\"]||this.regionalOptions[\\\"\\\"]}a.prototype=new n.baseCalendar,i(a.prototype,{name:\\\"UmmAlQura\\\",hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\\\"\\\":{name:\\\"Umm al-Qura\\\",epochs:[\\\"BH\\\",\\\"AH\\\"],monthNames:[\\\"Al-Muharram\\\",\\\"Safar\\\",\\\"Rabi' al-awwal\\\",\\\"Rabi' Al-Thani\\\",\\\"Jumada Al-Awwal\\\",\\\"Jumada Al-Thani\\\",\\\"Rajab\\\",\\\"Sha'aban\\\",\\\"Ramadan\\\",\\\"Shawwal\\\",\\\"Dhu al-Qi'dah\\\",\\\"Dhu al-Hijjah\\\"],monthNamesShort:[\\\"Muh\\\",\\\"Saf\\\",\\\"Rab1\\\",\\\"Rab2\\\",\\\"Jum1\\\",\\\"Jum2\\\",\\\"Raj\\\",\\\"Sha'\\\",\\\"Ram\\\",\\\"Shaw\\\",\\\"DhuQ\\\",\\\"DhuH\\\"],dayNames:[\\\"Yawm al-Ahad\\\",\\\"Yawm al-Ithnain\\\",\\\"Yawm al-Thal\\\\u0101th\\\\u0101\\\\u2019\\\",\\\"Yawm al-Arba\\\\u2018\\\\u0101\\\\u2019\\\",\\\"Yawm al-Kham\\\\u012bs\\\",\\\"Yawm al-Jum\\\\u2018a\\\",\\\"Yawm al-Sabt\\\"],dayNamesMin:[\\\"Ah\\\",\\\"Ith\\\",\\\"Th\\\",\\\"Ar\\\",\\\"Kh\\\",\\\"Ju\\\",\\\"Sa\\\"],digits:null,dateFormat:\\\"yyyy/mm/dd\\\",firstDay:6,isRTL:!0}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return 355===this.daysInYear(e.year())},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\\\"d\\\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){for(var e=0,r=1;r<=12;r++)e+=this.daysInMonth(t,r);return e},daysInMonth:function(t,e){for(var r=this._validate(t,e,this.minDay,n.local.invalidMonth).toJD()-24e5+.5,i=0,a=0;a<o.length;a++){if(o[a]>r)return o[i]-o[i-1];i++}return 30},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate),a=12*(i.year()-1)+i.month()-15292;return i.day()+o[a-1]-1+24e5-.5},fromJD:function(t){for(var e=t-24e5+.5,r=0,n=0;n<o.length&&!(o[n]>e);n++)r++;var i=r+15292,a=Math.floor((i-1)/12),s=a+1,l=i-12*a,c=e-o[r-1]+1;return this.newDate(s,l,c)},isValid:function(t,e,r){var i=n.baseCalendar.prototype.isValid.apply(this,arguments);return i&&(i=(t=null!=t.year?t.year:t)>=1276&&t<=1500),i},_validate:function(t,e,r,i){var a=n.baseCalendar.prototype._validate.apply(this,arguments);if(a.year<1276||a.year>1500)throw i.replace(/\\\\{0\\\\}/,this.local.name);return a}}),n.calendars.ummalqura=a;var 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n=t(\\\"object-assign\\\");function i(){this.regionalOptions=[],this.regionalOptions[\\\"\\\"]={invalidCalendar:\\\"Calendar {0} not found\\\",invalidDate:\\\"Invalid {0} date\\\",invalidMonth:\\\"Invalid {0} month\\\",invalidYear:\\\"Invalid {0} year\\\",differentCalendars:\\\"Cannot mix {0} and {1} dates\\\"},this.local=this.regionalOptions[\\\"\\\"],this.calendars={},this._localCals={}}function a(t,e,r,n){if(this._calendar=t,this._year=e,this._month=r,this._day=n,0===this._calendar._validateLevel&&!this._calendar.isValid(this._year,this._month,this._day))throw(c.local.invalidDate||c.regionalOptions[\\\"\\\"].invalidDate).replace(/\\\\{0\\\\}/,this._calendar.local.name)}function o(t,e){return\\\"000000\\\".substring(0,e-(t=\\\"\\\"+t).length)+t}function s(){this.shortYearCutoff=\\\"+10\\\"}function l(t){this.local=this.regionalOptions[t]||this.regionalOptions[\\\"\\\"]}n(i.prototype,{instance:function(t,e){t=(t||\\\"gregorian\\\").toLowerCase(),e=e||\\\"\\\";var r=this._localCals[t+\\\"-\\\"+e];if(!r&&this.calendars[t]&&(r=new this.calendars[t](e),this._localCals[t+\\\"-\\\"+e]=r),!r)throw(this.local.invalidCalendar||this.regionalOptions[\\\"\\\"].invalidCalendar).replace(/\\\\{0\\\\}/,t);return r},newDate:function(t,e,r,n,i){return(n=(null!=t&&t.year?t.calendar():\\\"string\\\"==typeof n?this.instance(n,i):n)||this.instance()).newDate(t,e,r)},substituteDigits:function(t){return function(e){return(e+\\\"\\\").replace(/[0-9]/g,(function(e){return t[e]}))}},substituteChineseDigits:function(t,e){return function(r){for(var n=\\\"\\\",i=0;r>0;){var a=r%10;n=(0===a?\\\"\\\":t[a]+e[i])+n,i++,r=Math.floor(r/10)}return 0===n.indexOf(t[1]+e[1])&&(n=n.substr(1)),n||t[0]}}}),n(a.prototype,{newDate:function(t,e,r){return this._calendar.newDate(null==t?this:t,e,r)},year:function(t){return 0===arguments.length?this._year:this.set(t,\\\"y\\\")},month:function(t){return 0===arguments.length?this._month:this.set(t,\\\"m\\\")},day:function(t){return 0===arguments.length?this._day:this.set(t,\\\"d\\\")},date:function(t,e,r){if(!this._calendar.isValid(t,e,r))throw(c.local.invalidDate||c.regionalOptions[\\\"\\\"].invalidDate).replace(/\\\\{0\\\\}/,this._calendar.local.name);return this._year=t,this._month=e,this._day=r,this},leapYear:function(){return this._calendar.leapYear(this)},epoch:function(){return this._calendar.epoch(this)},formatYear:function(){return this._calendar.formatYear(this)},monthOfYear:function(){return this._calendar.monthOfYear(this)},weekOfYear:function(){return this._calendar.weekOfYear(this)},daysInYear:function(){return this._calendar.daysInYear(this)},dayOfYear:function(){return this._calendar.dayOfYear(this)},daysInMonth:function(){return this._calendar.daysInMonth(this)},dayOfWeek:function(){return this._calendar.dayOfWeek(this)},weekDay:function(){return this._calendar.weekDay(this)},extraInfo:function(){return this._calendar.extraInfo(this)},add:function(t,e){return this._calendar.add(this,t,e)},set:function(t,e){return this._calendar.set(this,t,e)},compareTo:function(t){if(this._calendar.name!==t._calendar.name)throw(c.local.differentCalendars||c.regionalOptions[\\\"\\\"].differentCalendars).replace(/\\\\{0\\\\}/,this._calendar.local.name).replace(/\\\\{1\\\\}/,t._calendar.local.name);var e=this._year!==t._year?this._year-t._year:this._month!==t._month?this.monthOfYear()-t.monthOfYear():this._day-t._day;return 0===e?0:e<0?-1:1},calendar:function(){return this._calendar},toJD:function(){return this._calendar.toJD(this)},fromJD:function(t){return this._calendar.fromJD(t)},toJSDate:function(){return this._calendar.toJSDate(this)},fromJSDate:function(t){return this._calendar.fromJSDate(t)},toString:function(){return(this.year()<0?\\\"-\\\":\\\"\\\")+o(Math.abs(this.year()),4)+\\\"-\\\"+o(this.month(),2)+\\\"-\\\"+o(this.day(),2)}}),n(s.prototype,{_validateLevel:0,newDate:function(t,e,r){return null==t?this.today():(t.year&&(this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\\\"\\\"].invalidDate),r=t.day(),e=t.month(),t=t.year()),new a(this,t,e,r))},today:function(){return this.fromJSDate(new Date)},epoch:function(t){return this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\\\"\\\"].invalidYear).year()<0?this.local.epochs[0]:this.local.epochs[1]},formatYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\\\"\\\"].invalidYear);return(e.year()<0?\\\"-\\\":\\\"\\\")+o(Math.abs(e.year()),4)},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\\\"\\\"].invalidYear),12},monthOfYear:function(t,e){var r=this._validate(t,e,this.minDay,c.local.invalidMonth||c.regionalOptions[\\\"\\\"].invalidMonth);return(r.month()+this.monthsInYear(r)-this.firstMonth)%this.monthsInYear(r)+this.minMonth},fromMonthOfYear:function(t,e){var r=(e+this.firstMonth-2*this.minMonth)%this.monthsInYear(t)+this.minMonth;return this._validate(t,r,this.minDay,c.local.invalidMonth||c.regionalOptions[\\\"\\\"].invalidMonth),r},daysInYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\\\"\\\"].invalidYear);return this.leapYear(e)?366:365},dayOfYear:function(t,e,r){var n=this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\\\"\\\"].invalidDate);return n.toJD()-this.newDate(n.year(),this.fromMonthOfYear(n.year(),this.minMonth),this.minDay).toJD()+1},daysInWeek:function(){return 7},dayOfWeek:function(t,e,r){var n=this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\\\"\\\"].invalidDate);return(Math.floor(this.toJD(n))+2)%this.daysInWeek()},extraInfo:function(t,e,r){return this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\\\"\\\"].invalidDate),{}},add:function(t,e,r){return this._validate(t,this.minMonth,this.minDay,c.local.invalidDate||c.regionalOptions[\\\"\\\"].invalidDate),this._correctAdd(t,this._add(t,e,r),e,r)},_add:function(t,e,r){if(this._validateLevel++,\\\"d\\\"===r||\\\"w\\\"===r){var n=t.toJD()+e*(\\\"w\\\"===r?this.daysInWeek():1),i=t.calendar().fromJD(n);return this._validateLevel--,[i.year(),i.month(),i.day()]}try{var a=t.year()+(\\\"y\\\"===r?e:0),o=t.monthOfYear()+(\\\"m\\\"===r?e:0);i=t.day();\\\"y\\\"===r?(t.month()!==this.fromMonthOfYear(a,o)&&(o=this.newDate(a,t.month(),this.minDay).monthOfYear()),o=Math.min(o,this.monthsInYear(a)),i=Math.min(i,this.daysInMonth(a,this.fromMonthOfYear(a,o)))):\\\"m\\\"===r&&(!function(t){for(;o<t.minMonth;)a--,o+=t.monthsInYear(a);for(var e=t.monthsInYear(a);o>e-1+t.minMonth;)a++,o-=e,e=t.monthsInYear(a)}(this),i=Math.min(i,this.daysInMonth(a,this.fromMonthOfYear(a,o))));var s=[a,this.fromMonthOfYear(a,o),i];return this._validateLevel--,s}catch(t){throw 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n=(r=r||{}).shortYearCutoff||this.shortYearCutoff;n=\\\"string\\\"!=typeof n?n:this.today().year()%100+parseInt(n,10);for(var a=r.dayNamesShort||this.local.dayNamesShort,o=r.dayNames||this.local.dayNames,s=r.parseMonth||this.local.parseMonth,l=r.monthNumbers||this.local.monthNumbers,c=r.monthNamesShort||this.local.monthNamesShort,u=r.monthNames||this.local.monthNames,f=-1,h=-1,p=-1,d=-1,m=-1,g=!1,v=!1,y=function(e,r){for(var n=1;A+n<t.length&&t.charAt(A+n)===e;)n++;return A+=n-1,Math.floor(n/(r||1))>1},x=function(t,r){var n=y(t,r),a=[2,3,n?4:2,n?4:2,10,11,20][\\\"oyYJ@!\\\".indexOf(t)+1],o=new RegExp(\\\"^-?\\\\\\\\d{1,\\\"+a+\\\"}\\\"),s=e.substring(M).match(o);if(!s)throw(i.local.missingNumberAt||i.regionalOptions[\\\"\\\"].missingNumberAt).replace(/\\\\{0\\\\}/,M);return M+=s[0].length,parseInt(s[0],10)},b=this,_=function(){if(\\\"function\\\"==typeof l){y(\\\"m\\\");var t=l.call(b,e.substring(M));return M+=t.length,t}return x(\\\"m\\\")},w=function(t,r,n,a){for(var 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n=t(\\\"../annotations/attributes\\\"),i=t(\\\"../../plot_api/edit_types\\\").overrideAll,a=t(\\\"../../plot_api/plot_template\\\").templatedArray;e.exports=i(a(\\\"annotation\\\",{visible:n.visible,x:{valType:\\\"any\\\"},y:{valType:\\\"any\\\"},z:{valType:\\\"any\\\"},ax:{valType:\\\"number\\\"},ay:{valType:\\\"number\\\"},xanchor:n.xanchor,xshift:n.xshift,yanchor:n.yanchor,yshift:n.yshift,text:n.text,textangle:n.textangle,font:n.font,width:n.width,height:n.height,opacity:n.opacity,align:n.align,valign:n.valign,bgcolor:n.bgcolor,bordercolor:n.bordercolor,borderpad:n.borderpad,borderwidth:n.borderwidth,showarrow:n.showarrow,arrowcolor:n.arrowcolor,arrowhead:n.arrowhead,startarrowhead:n.startarrowhead,arrowside:n.arrowside,arrowsize:n.arrowsize,startarrowsize:n.startarrowsize,arrowwidth:n.arrowwidth,standoff:n.standoff,startstandoff:n.startstandoff,hovertext:n.hovertext,hoverlabel:n.hoverlabel,captureevents:n.captureevents}),\\\"calc\\\",\\\"from-root\\\")},{\\\"../../plot_api/edit_types\\\":827,\\\"../../plot_api/plot_template\\\":834,\\\"../annotations/attributes\\\":641}],651:[function(t,e,r){\\\"use 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l(t,e,r,a){function l(r,i){return n.coerce(t,e,s,r,i)}function c(t){var n=t+\\\"axis\\\",a={_fullLayout:{}};return a._fullLayout[n]=r[n],i.coercePosition(e,a,l,t,t,.5)}l(\\\"visible\\\")&&(o(t,e,a.fullLayout,l),c(\\\"x\\\"),c(\\\"y\\\"),c(\\\"z\\\"),n.noneOrAll(t,e,[\\\"x\\\",\\\"y\\\",\\\"z\\\"]),e.xref=\\\"x\\\",e.yref=\\\"y\\\",e.zref=\\\"z\\\",l(\\\"xanchor\\\"),l(\\\"yanchor\\\"),l(\\\"xshift\\\"),l(\\\"yshift\\\"),e.showarrow&&(e.axref=\\\"pixel\\\",e.ayref=\\\"pixel\\\",l(\\\"ax\\\",-10),l(\\\"ay\\\",-30),n.noneOrAll(t,e,[\\\"ax\\\",\\\"ay\\\"])))}e.exports=function(t,e,r){a(t,e,{name:\\\"annotations\\\",handleItemDefaults:l,fullLayout:r.fullLayout})}},{\\\"../../lib\\\":795,\\\"../../plots/array_container_defaults\\\":840,\\\"../../plots/cartesian/axes\\\":845,\\\"../annotations/common_defaults\\\":644,\\\"./attributes\\\":650}],653:[function(t,e,r){\\\"use strict\\\";var n=t(\\\"../annotations/draw\\\").drawRaw,i=t(\\\"../../plots/gl3d/project\\\"),a=[\\\"x\\\",\\\"y\\\",\\\"z\\\"];e.exports=function(t){for(var e=t.fullSceneLayout,r=t.dataScale,o=e.annotations,s=0;s<o.length;s++){for(var l=o[s],c=!1,u=0;u<3;u++){var f=a[u],h=l[f],p=e[f+\\\"axis\\\"].r2fraction(h);if(p<0||p>1){c=!0;break}}c?t.fullLayout._infolayer.select(\\\".annotation-\\\"+t.id+'[data-index=\\\"'+s+'\\\"]').remove():(l._pdata=i(t.glplot.cameraParams,[e.xaxis.r2l(l.x)*r[0],e.yaxis.r2l(l.y)*r[1],e.zaxis.r2l(l.z)*r[2]]),n(t.graphDiv,l,s,t.id,l._xa,l._ya))}}},{\\\"../../plots/gl3d/project\\\":896,\\\"../annotations/draw\\\":647}],654:[function(t,e,r){\\\"use strict\\\";var n=t(\\\"../../registry\\\"),i=t(\\\"../../lib\\\");e.exports={moduleType:\\\"component\\\",name:\\\"annotations3d\\\",schema:{subplots:{scene:{annotations:t(\\\"./attributes\\\")}}},layoutAttributes:t(\\\"./attributes\\\"),handleDefaults:t(\\\"./defaults\\\"),includeBasePlot:function(t,e){var r=n.subplotsRegistry.gl3d;if(!r)return;for(var a=r.attrRegex,o=Object.keys(t),s=0;s<o.length;s++){var l=o[s];a.test(l)&&(t[l].annotations||[]).length&&(i.pushUnique(e._basePlotModules,r),i.pushUnique(e._subplots.gl3d,l))}},convert:t(\\\"./convert\\\"),draw:t(\\\"./draw\\\")}},{\\\"../../lib\\\":795,\\\"../../registry\\\":923,\\\"./attributes\\\":650,\\\"./convert\\\":651,\\\"./defaults\\\":652,\\\"./draw\\\":653}],655:[function(t,e,r){\\\"use 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d(t){return\\\"Sets the calendar system to use with `\\\"+t+\\\"` date data.\\\"}var m={xcalendar:p(d(\\\"x\\\"))},g=i.extendFlat({},m,{ycalendar:p(d(\\\"y\\\"))}),v=i.extendFlat({},g,{zcalendar:p(d(\\\"z\\\"))}),y=p([\\\"Sets the calendar system to use for `range` and `tick0`\\\",\\\"if this is a date axis. This does not set the calendar for\\\",\\\"interpreting data on this axis, that's specified in the trace\\\",\\\"or via the global `layout.calendar`\\\"].join(\\\" \\\"));e.exports={moduleType:\\\"component\\\",name:\\\"calendars\\\",schema:{traces:{scatter:g,bar:g,box:g,heatmap:g,contour:g,histogram:g,histogram2d:g,histogram2dcontour:g,scatter3d:v,surface:v,mesh3d:v,scattergl:g,ohlc:m,candlestick:m},layout:{calendar:p([\\\"Sets the default calendar system to use for interpreting and\\\",\\\"displaying dates throughout the plot.\\\"].join(\\\" \\\"))},subplots:{xaxis:{calendar:y},yaxis:{calendar:y},scene:{xaxis:{calendar:y},yaxis:{calendar:y},zaxis:{calendar:y}},polar:{radialaxis:{calendar:y}}},transforms:{filter:{valuecalendar:p([\\\"WARNING: All transforms are deprecated and may be removed from the API in next major version.\\\",\\\"Sets the calendar system to use for `value`, if it is a date.\\\"].join(\\\" \\\")),targetcalendar:p([\\\"WARNING: All transforms are deprecated and may be removed from the API in next major version.\\\",\\\"Sets the calendar system to use for `target`, if it is an\\\",\\\"array of dates. 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x=y[0];i(x.x0)&&i(x.y0)&&(h=ct(x),(!$.hLinePoint||$.hLinePoint.spikeDistance>h.spikeDistance)&&($.hLinePoint=h))}}}}}function lt(t,e){for(var r,n=null,i=1/0,a=0;a<t.length;a++)(r=t[a].spikeDistance)<=i&&r<=e&&(n=t[a],i=r);return n}function ct(t){return t?{xa:t.xa,ya:t.ya,x:void 0!==t.xSpike?t.xSpike:(t.x0+t.x1)/2,y:void 0!==t.ySpike?t.ySpike:(t.y0+t.y1)/2,distance:t.distance,spikeDistance:t.spikeDistance,curveNumber:t.trace.index,color:t.color,pointNumber:t.index}:null}st();var ut={fullLayout:l,container:l._hoverlayer,outerContainer:l._paperdiv,event:e},ft=t._spikepoints,ht={vLinePoint:$.vLinePoint,hLinePoint:$.hLinePoint};if(t._spikepoints=ht,m&&0!==I&&0!==K.length){var pt=lt(K.filter((function(t){return t.ya.showspikes})),I);$.hLinePoint=ct(pt);var dt=lt(K.filter((function(t){return t.xa.showspikes})),I);$.vLinePoint=ct(dt)}if(0===K.length){var mt=d.unhoverRaw(t,e);return!m||null===$.hLinePoint&&null===$.vLinePoint||R(ft)&&D(t,$,ut),mt}m&&R(ft)&&D(t,$,ut);var gt=function(){K.sort((function(t,e){return t.distance-e.distance})),K=function(t,e){for(var r=e.charAt(0),n=[],i=[],a=[],o=0;o<t.length;o++){var s=t[o];g.traceIs(s.trace,\\\"bar-like\\\")||g.traceIs(s.trace,\\\"box-violin\\\")?a.push(s):s.trace[r+\\\"period\\\"]?i.push(s):n.push(s)}return n.concat(i).concat(a)}(K,S)};if(gt(),v.isXYhover(Y)&&0!==K[0].length&&\\\"splom\\\"!==K[0].trace.type){var vt=K[0],yt=(K=E[vt.trace.type]?K.filter((function(t){return t.trace.index===vt.trace.index})):[vt]).length,xt=B(\\\"x\\\",vt,l),bt=B(\\\"y\\\",vt,l);st(xt,bt);var _t,wt=[],Tt={},kt=0,Mt=function(t){var e=E[t.trace.type]?L(t):t.trace.index;if(Tt[e]){var r=Tt[e]-1,n=wt[r];r>0&&Math.abs(t.distance)<Math.abs(n.distance)&&(wt[r]=t)}else kt++,Tt[e]=kt,wt.push(t)};for(_t=0;_t<yt;_t++)Mt(K[_t]);for(_t=K.length-1;_t>yt-1;_t--)Mt(K[_t]);K=wt,gt()}var At=t._hoverdata,St=[];for(j=0;j<K.length;j++){var Et=K[j],Lt=v.makeEventData(Et,Et.trace,Et.cd);if(!1!==Et.hovertemplate){var Ct=!1;Et.cd[Et.index]&&Et.cd[Et.index].ht&&(Ct=Et.cd[Et.index].ht),Et.hovertemplate=Ct||Et.trace.hovertemplate||!1}Et.eventData=[Lt],St.push(Lt)}t._hoverdata=St;var Pt=\\\"y\\\"===S&&(Q.length>1||K.length>1)||\\\"closest\\\"===S&&tt&&K.length>1,It=p.combine(l.plot_bgcolor||p.background,l.paper_bgcolor),Ot={hovermode:S,rotateLabels:Pt,bgColor:It,container:l._hoverlayer,outerContainer:l._paperdiv,commonLabelOpts:l.hoverlabel,hoverdistance:l.hoverdistance},zt=P(K,Ot,t);v.isUnifiedHover(S)||(!function(t,e,r){var n,i,a,o,s,l,c,u=0,f=1,h=t.size(),p=new Array(h),d=0;function m(t){var e=t[0],r=t[t.length-1];if(i=e.pmin-e.pos-e.dp+e.size,a=r.pos+r.dp+r.size-e.pmax,i>.01){for(s=t.length-1;s>=0;s--)t[s].dp+=i;n=!1}if(!(a<.01)){if(i<-.01){for(s=t.length-1;s>=0;s--)t[s].dp-=a;n=!1}if(n){var c=0;for(o=0;o<t.length;o++)(l=t[o]).pos+l.dp+l.size>e.pmax&&c++;for(o=t.length-1;o>=0&&!(c<=0);o--)(l=t[o]).pos>e.pmax-1&&(l.del=!0,c--);for(o=0;o<t.length&&!(c<=0);o++)if((l=t[o]).pos<e.pmin+1)for(l.del=!0,c--,a=2*l.size,s=t.length-1;s>=0;s--)t[s].dp-=a;for(o=t.length-1;o>=0&&!(c<=0);o--)(l=t[o]).pos+l.dp+l.size>e.pmax&&(l.del=!0,c--)}}}t.each((function(t){var n=t[e],i=\\\"x\\\"===n._id.charAt(0),a=n.range;0===d&&a&&a[0]>a[1]!==i&&(f=-1),p[d++]=[{datum:t,traceIndex:t.trace.index,dp:0,pos:t.pos,posref:t.posref,size:t.by*(i?T:1)/2,pmin:0,pmax:i?r.width:r.height}]})),p.sort((function(t,e){return t[0].posref-e[0].posref||f*(e[0].traceIndex-t[0].traceIndex)}));for(;!n&&u<=h;){for(u++,n=!0,o=0;o<p.length-1;){var g=p[o],v=p[o+1],y=g[g.length-1],x=v[0];if((i=y.pos+y.dp+y.size-x.pos-x.dp+x.size)>.01&&y.pmin===x.pmin&&y.pmax===x.pmax){for(s=v.length-1;s>=0;s--)v[s].dp+=i;for(g.push.apply(g,v),p.splice(o+1,1),c=0,s=g.length-1;s>=0;s--)c+=g[s].dp;for(a=c/g.length,s=g.length-1;s>=0;s--)g[s].dp-=a;n=!1}else o++}p.forEach(m)}for(o=p.length-1;o>=0;o--){var b=p[o];for(s=b.length-1;s>=0;s--){var _=b[s],w=_.datum;w.offset=_.dp,w.del=_.del}}}(zt,Pt?\\\"xa\\\":\\\"ya\\\",l),O(zt,Pt,l._invScaleX,l._invScaleY));if(e.target&&e.target.tagName){var Dt=g.getComponentMethod(\\\"annotations\\\",\\\"hasClickToShow\\\")(t,St);f(n.select(e.target),Dt?\\\"pointer\\\":\\\"\\\")}if(!e.target||a||!function(t,e,r){if(!r||r.length!==t._hoverdata.length)return!0;for(var n=r.length-1;n>=0;n--){var i=r[n],a=t._hoverdata[n];if(i.curveNumber!==a.curveNumber||String(i.pointNumber)!==String(a.pointNumber)||String(i.pointNumbers)!==String(a.pointNumbers))return!0}return!1}(t,0,At))return;At&&t.emit(\\\"plotly_unhover\\\",{event:e,points:At});t.emit(\\\"plotly_hover\\\",{event:e,points:t._hoverdata,xaxes:b,yaxes:_,xvals:F,yvals:N})}(t,e,r,a)}))},r.loneHover=function(t,e){var r=!0;Array.isArray(t)||(r=!1,t=[t]);var i=t.map((function(t){return{color:t.color||p.defaultLine,x0:t.x0||t.x||0,x1:t.x1||t.x||0,y0:t.y0||t.y||0,y1:t.y1||t.y||0,xLabel:t.xLabel,yLabel:t.yLabel,zLabel:t.zLabel,text:t.text,name:t.name,idealAlign:t.idealAlign,borderColor:t.borderColor,fontFamily:t.fontFamily,fontSize:t.fontSize,fontColor:t.fontColor,nameLength:t.nameLength,textAlign:t.textAlign,trace:t.trace||{index:0,hoverinfo:\\\"\\\"},xa:{_offset:0},ya:{_offset:0},index:0,hovertemplate:t.hovertemplate||!1,eventData:t.eventData||!1,hovertemplateLabels:t.hovertemplateLabels||!1}})),a=n.select(e.container),o=e.outerContainer?n.select(e.outerContainer):a,s={hovermode:\\\"closest\\\",rotateLabels:!1,bgColor:e.bgColor||p.background,container:a,outerContainer:o},l=P(i,s,e.gd),c=0,u=0;l.sort((function(t,e){return t.y0-e.y0})).each((function(t,r){var n=t.y0-t.by/2;t.offset=n-5<c?c-n+5:0,c=n+t.by+t.offset,r===e.anchorIndex&&(u=t.offset)})).each((function(t){t.offset-=u}));var f=e.gd._fullLayout._invScaleX,h=e.gd._fullLayout._invScaleY;return O(l,s.rotateLabels,f,h),r?l:l.node()};var C=/<extra>([\\\\s\\\\S]*)<\\\\/extra>/;function P(t,e,r){var i=r._fullLayout,a=e.hovermode,c=e.rotateLabels,f=e.bgColor,d=e.container,m=e.outerContainer,g=e.commonLabelOpts||{},w=e.fontFamily||y.HOVERFONT,T=e.fontSize||y.HOVERFONTSIZE,k=t[0],M=k.xa,E=k.ya,C=a.charAt(0),P=k[C+\\\"Label\\\"],O=m.node().getBoundingClientRect(),z=O.top,D=O.width,R=O.height,F=void 0!==P&&k.distance<=e.hoverdistance&&(\\\"x\\\"===a||\\\"y\\\"===a);if(F){var B,N,j=!0;for(B=0;B<t.length;B++)if(j&&void 0===t[B].zLabel&&(j=!1),N=t[B].hoverinfo||t[B].trace.hoverinfo){var U=Array.isArray(N)?N:N.split(\\\"+\\\");if(-1===U.indexOf(\\\"all\\\")&&-1===U.indexOf(a)){F=!1;break}}j&&(F=!1)}var V=d.selectAll(\\\"g.axistext\\\").data(F?[0]:[]);if(V.enter().append(\\\"g\\\").classed(\\\"axistext\\\",!0),V.exit().remove(),V.each((function(){var t=n.select(this),e=o.ensureSingle(t,\\\"path\\\",\\\"\\\",(function(t){t.style({\\\"stroke-width\\\":\\\"1px\\\"})})),l=o.ensureSingle(t,\\\"text\\\",\\\"\\\",(function(t){t.attr(\\\"data-notex\\\",1)})),c=g.bgcolor||p.defaultLine,f=g.bordercolor||p.contrast(c),d=p.contrast(c),m={family:g.font.family||w,size:g.font.size||T,color:g.font.color||d};e.style({fill:c,stroke:f}),l.text(P).call(h.font,m).call(u.positionText,0,0).call(u.convertToTspans,r),t.attr(\\\"transform\\\",\\\"\\\");var v,y,x=l.node().getBoundingClientRect();if(\\\"x\\\"===a){var b=\\\"top\\\"===M.side?\\\"-\\\":\\\"\\\";l.attr(\\\"text-anchor\\\",\\\"middle\\\").call(u.positionText,0,\\\"top\\\"===M.side?z-x.bottom-A-S:z-x.top+A+S),v=M._offset+(k.x0+k.x1)/2,y=E._offset+(\\\"top\\\"===M.side?0:E._length);var _=x.width/2+S;v<_?(v=_,e.attr(\\\"d\\\",\\\"M-\\\"+(_-A)+\\\",0L-\\\"+(_-2*A)+\\\",\\\"+b+A+\\\"H\\\"+(S+x.width/2)+\\\"v\\\"+b+(2*S+x.height)+\\\"H-\\\"+_+\\\"V\\\"+b+A+\\\"Z\\\")):v>i.width-_?(v=i.width-_,e.attr(\\\"d\\\",\\\"M\\\"+(_-A)+\\\",0L\\\"+_+\\\",\\\"+b+A+\\\"v\\\"+b+(2*S+x.height)+\\\"H-\\\"+_+\\\"V\\\"+b+A+\\\"H\\\"+(_-2*A)+\\\"Z\\\")):e.attr(\\\"d\\\",\\\"M0,0L\\\"+A+\\\",\\\"+b+A+\\\"H\\\"+(S+x.width/2)+\\\"v\\\"+b+(2*S+x.height)+\\\"H-\\\"+(S+x.width/2)+\\\"V\\\"+b+A+\\\"H-\\\"+A+\\\"Z\\\")}else{var L,C,I;\\\"right\\\"===E.side?(L=\\\"start\\\",C=1,I=\\\"\\\",v=M._offset+M._length):(L=\\\"end\\\",C=-1,I=\\\"-\\\",v=M._offset),y=E._offset+(k.y0+k.y1)/2,l.attr(\\\"text-anchor\\\",L),e.attr(\\\"d\\\",\\\"M0,0L\\\"+I+A+\\\",\\\"+A+\\\"V\\\"+(S+x.height/2)+\\\"h\\\"+I+(2*S+x.width)+\\\"V-\\\"+(S+x.height/2)+\\\"H\\\"+I+A+\\\"V-\\\"+A+\\\"Z\\\");var O,D=x.height/2,R=z-x.top-D,F=\\\"clip\\\"+i._uid+\\\"commonlabel\\\"+E._id;if(v<x.width+2*S+A){O=\\\"M-\\\"+(A+S)+\\\"-\\\"+D+\\\"h-\\\"+(x.width-S)+\\\"V\\\"+D+\\\"h\\\"+(x.width-S)+\\\"Z\\\";var B=x.width-v+S;u.positionText(l,B,R),\\\"end\\\"===L&&l.selectAll(\\\"tspan\\\").each((function(){var t=n.select(this),e=h.tester.append(\\\"text\\\").text(t.text()).call(h.font,m),r=e.node().getBoundingClientRect();Math.round(r.width)<Math.round(x.width)&&t.attr(\\\"x\\\",B-r.width),e.remove()}))}else u.positionText(l,C*(S+A),R),O=null;var N=i._topclips.selectAll(\\\"#\\\"+F).data(O?[0]:[]);N.enter().append(\\\"clipPath\\\").attr(\\\"id\\\",F).append(\\\"path\\\"),N.exit().remove(),N.select(\\\"path\\\").attr(\\\"d\\\",O),h.setClipUrl(l,O?F:null,r)}t.attr(\\\"transform\\\",s(v,y))})),v.isUnifiedHover(a)){if(d.selectAll(\\\"g.hovertext\\\").remove(),0===t.length)return;var q={showlegend:!0,legend:{title:{text:P,font:i.hoverlabel.font},font:i.hoverlabel.font,bgcolor:i.hoverlabel.bgcolor,bordercolor:i.hoverlabel.bordercolor,borderwidth:1,tracegroupgap:7,traceorder:i.legend?i.legend.traceorder:void 0,orientation:\\\"v\\\"}},H={};x(q,H,r._fullData);var G=H.legend;G.entries=[];for(var Y=0;Y<t.length;Y++){var W=I(t[Y],!0,a,i,P),X=W[0],Z=W[1],J=t[Y];J.name=Z,J.text=\\\"\\\"!==Z?Z+\\\" : \\\"+X:X;var K=J.cd[J.index];K&&(K.mc&&(J.mc=K.mc),K.mcc&&(J.mc=K.mcc),K.mlc&&(J.mlc=K.mlc),K.mlcc&&(J.mlc=K.mlcc),K.mlw&&(J.mlw=K.mlw),K.mrc&&(J.mrc=K.mrc),K.dir&&(J.dir=K.dir)),J._distinct=!0,G.entries.push([J])}G.entries.sort((function(t,e){return t[0].trace.index-e[0].trace.index})),G.layer=d,G._inHover=!0,b(r,G);var Q=t[0],$=(Q.y0+Q.y1)/2,tt=(Q.x0+Q.x1)/2,et=d.select(\\\"g.legend\\\"),rt=et.node().getBoundingClientRect();tt+=M._offset,$+=E._offset-rt.height/2;var nt=rt.width+2*S;!(tt+nt<=D)&&tt-nt>=0?tt-=nt:tt+=2*S;var it=rt.height+2*S,at=$+it>=R;return it<=R&&($<=z?$=E._offset+2*S:at&&($=R-it)),et.attr(\\\"transform\\\",s(tt,$)),et}var ot=d.selectAll(\\\"g.hovertext\\\").data(t,(function(t){return L(t)}));return ot.enter().append(\\\"g\\\").classed(\\\"hovertext\\\",!0).each((function(){var t=n.select(this);t.append(\\\"rect\\\").call(p.fill,p.addOpacity(f,.8)),t.append(\\\"text\\\").classed(\\\"name\\\",!0),t.append(\\\"path\\\").style(\\\"stroke-width\\\",\\\"1px\\\"),t.append(\\\"text\\\").classed(\\\"nums\\\",!0).call(h.font,w,T)})),ot.exit().remove(),ot.each((function(t){var e=n.select(this).attr(\\\"transform\\\",\\\"\\\"),o=t.color;Array.isArray(o)&&(o=o[t.eventData[0].pointNumber]);var d=t.bgcolor||o,m=p.combine(p.opacity(d)?d:p.defaultLine,f),g=p.combine(p.opacity(o)?o:p.defaultLine,f),v=t.borderColor||p.contrast(m),y=I(t,F,a,i,P,e),x=y[0],b=y[1],k=e.select(\\\"text.nums\\\").call(h.font,t.fontFamily||w,t.fontSize||T,t.fontColor||v).text(x).attr(\\\"data-notex\\\",1).call(u.positionText,0,0).call(u.convertToTspans,r),M=e.select(\\\"text.name\\\"),E=0,L=0;if(b&&b!==x){M.call(h.font,t.fontFamily||w,t.fontSize||T,g).text(b).attr(\\\"data-notex\\\",1).call(u.positionText,0,0).call(u.convertToTspans,r);var C=M.node().getBoundingClientRect();E=C.width+2*S,L=C.height+2*S}else M.remove(),e.select(\\\"rect\\\").remove();e.select(\\\"path\\\").style({fill:m,stroke:v});var 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0!==t.nameOverride&&(t.name=t.nameOverride),t.name&&(t.trace._meta&&(t.name=o.templateString(t.name,t.trace._meta)),s=F(t.name,t.nameLength));var c=r.charAt(0),u=\\\"x\\\"===c?\\\"y\\\":\\\"x\\\";void 0!==t.zLabel?(void 0!==t.xLabel&&(l+=\\\"x: \\\"+t.xLabel+\\\"<br>\\\"),void 0!==t.yLabel&&(l+=\\\"y: \\\"+t.yLabel+\\\"<br>\\\"),\\\"choropleth\\\"!==t.trace.type&&\\\"choroplethmapbox\\\"!==t.trace.type&&(l+=(l?\\\"z: \\\":\\\"\\\")+t.zLabel)):e&&t[c+\\\"Label\\\"]===i?l=t[u+\\\"Label\\\"]||\\\"\\\":void 0===t.xLabel?void 0!==t.yLabel&&\\\"scattercarpet\\\"!==t.trace.type&&(l=t.yLabel):l=void 0===t.yLabel?t.xLabel:\\\"(\\\"+t.xLabel+\\\", \\\"+t.yLabel+\\\")\\\",!t.text&&0!==t.text||Array.isArray(t.text)||(l+=(l?\\\"<br>\\\":\\\"\\\")+t.text),void 0!==t.extraText&&(l+=(l?\\\"<br>\\\":\\\"\\\")+t.extraText),a&&\\\"\\\"===l&&!t.hovertemplate&&(\\\"\\\"===s&&a.remove(),l=s);var f=t.hovertemplate||!1;if(f){var 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c(t,\\\"Pan\\\")},attr:\\\"dragmode\\\",val:\\\"pan\\\",icon:o.pan,click:f},u.select2d={name:\\\"select2d\\\",_cat:\\\"select\\\",title:function(t){return c(t,\\\"Box Select\\\")},attr:\\\"dragmode\\\",val:\\\"select\\\",icon:o.selectbox,click:f},u.lasso2d={name:\\\"lasso2d\\\",_cat:\\\"lasso\\\",title:function(t){return c(t,\\\"Lasso Select\\\")},attr:\\\"dragmode\\\",val:\\\"lasso\\\",icon:o.lasso,click:f},u.drawclosedpath={name:\\\"drawclosedpath\\\",title:function(t){return c(t,\\\"Draw closed freeform\\\")},attr:\\\"dragmode\\\",val:\\\"drawclosedpath\\\",icon:o.drawclosedpath,click:f},u.drawopenpath={name:\\\"drawopenpath\\\",title:function(t){return c(t,\\\"Draw open freeform\\\")},attr:\\\"dragmode\\\",val:\\\"drawopenpath\\\",icon:o.drawopenpath,click:f},u.drawline={name:\\\"drawline\\\",title:function(t){return c(t,\\\"Draw line\\\")},attr:\\\"dragmode\\\",val:\\\"drawline\\\",icon:o.drawline,click:f},u.drawrect={name:\\\"drawrect\\\",title:function(t){return c(t,\\\"Draw 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r=d(t,e);n.call(\\\"_guiRelayout\\\",t,r)}},u.zoomInGeo={name:\\\"zoomInGeo\\\",_cat:\\\"zoomin\\\",title:function(t){return c(t,\\\"Zoom in\\\")},attr:\\\"zoom\\\",val:\\\"in\\\",icon:o.zoom_plus,click:m},u.zoomOutGeo={name:\\\"zoomOutGeo\\\",_cat:\\\"zoomout\\\",title:function(t){return c(t,\\\"Zoom out\\\")},attr:\\\"zoom\\\",val:\\\"out\\\",icon:o.zoom_minus,click:m},u.resetGeo={name:\\\"resetGeo\\\",_cat:\\\"reset\\\",title:function(t){return c(t,\\\"Reset\\\")},attr:\\\"reset\\\",val:null,icon:o.autoscale,click:m},u.hoverClosestGeo={name:\\\"hoverClosestGeo\\\",_cat:\\\"hoverclosest\\\",title:function(t){return c(t,\\\"Toggle show closest data on hover\\\")},attr:\\\"hovermode\\\",val:null,toggle:!0,icon:o.tooltip_basic,gravity:\\\"ne\\\",click:v},u.hoverClosestGl2d={name:\\\"hoverClosestGl2d\\\",_cat:\\\"hoverclosest\\\",title:function(t){return c(t,\\\"Toggle show closest data on hover\\\")},attr:\\\"hovermode\\\",val:null,toggle:!0,icon:o.tooltip_basic,gravity:\\\"ne\\\",click:v},u.hoverClosestPie={name:\\\"hoverClosestPie\\\",_cat:\\\"hoverclosest\\\",title:function(t){return c(t,\\\"Toggle show closest data on hover\\\")},attr:\\\"hovermode\\\",val:\\\"closest\\\",icon:o.tooltip_basic,gravity:\\\"ne\\\",click:v},u.resetViewSankey={name:\\\"resetSankeyGroup\\\",title:function(t){return c(t,\\\"Reset view\\\")},icon:o.home,click:function(t){for(var e={\\\"node.groups\\\":[],\\\"node.x\\\":[],\\\"node.y\\\":[]},r=0;r<t._fullData.length;r++){var i=t._fullData[r]._viewInitial;e[\\\"node.groups\\\"].push(i.node.groups.slice()),e[\\\"node.x\\\"].push(i.node.x.slice()),e[\\\"node.y\\\"].push(i.node.y.slice())}n.call(\\\"restyle\\\",t,e)}},u.toggleHover={name:\\\"toggleHover\\\",title:function(t){return c(t,\\\"Toggle show closest data on hover\\\")},attr:\\\"hovermode\\\",val:null,toggle:!0,icon:o.tooltip_basic,gravity:\\\"ne\\\",click:function(t,e){var r=d(t,e);r.hovermode=g(t),n.call(\\\"_guiRelayout\\\",t,r)}},u.resetViews={name:\\\"resetViews\\\",title:function(t){return c(t,\\\"Reset views\\\")},icon:o.home,click:function(t,e){var r=e.currentTarget;r.setAttribute(\\\"data-attr\\\",\\\"zoom\\\"),r.setAttribute(\\\"data-val\\\",\\\"reset\\\"),f(t,e),r.setAttribute(\\\"data-attr\\\",\\\"resetLastSave\\\"),p(t,e),x(t,\\\"geo\\\"),x(t,\\\"mapbox\\\")}},u.toggleSpikelines={name:\\\"toggleSpikelines\\\",title:function(t){return c(t,\\\"Toggle Spike Lines\\\")},icon:o.spikeline,attr:\\\"_cartesianSpikesEnabled\\\",val:\\\"on\\\",click:function(t){var e=t._fullLayout,r=e._cartesianSpikesEnabled;e._cartesianSpikesEnabled=\\\"on\\\"===r?\\\"off\\\":\\\"on\\\",n.call(\\\"_guiRelayout\\\",t,function(t){for(var e=\\\"on\\\"===t._fullLayout._cartesianSpikesEnabled,r=a.list(t,null,!0),n={},i=0;i<r.length;i++){var o=r[i];n[o._name+\\\".showspikes\\\"]=!!e||o._showSpikeInitial}return n}(t))}},u.resetViewMapbox={name:\\\"resetViewMapbox\\\",_cat:\\\"resetView\\\",title:function(t){return c(t,\\\"Reset view\\\")},attr:\\\"reset\\\",icon:o.home,click:function(t){x(t,\\\"mapbox\\\")}},u.zoomInMapbox={name:\\\"zoomInMapbox\\\",_cat:\\\"zoomin\\\",title:function(t){return c(t,\\\"Zoom in\\\")},attr:\\\"zoom\\\",val:\\\"in\\\",icon:o.zoom_plus,click:y},u.zoomOutMapbox={name:\\\"zoomOutMapbox\\\",_cat:\\\"zoomout\\\",title:function(t){return c(t,\\\"Zoom out\\\")},attr:\\\"zoom\\\",val:\\\"out\\\",icon:o.zoom_minus,click:y}},{\\\"../../fonts/ploticon\\\":774,\\\"../../lib\\\":795,\\\"../../plots/cartesian/axis_ids\\\":848,\\\"../../plots/plots\\\":909,\\\"../../registry\\\":923,\\\"../shapes/draw\\\":742}],719:[function(t,e,r){\\\"use strict\\\";var n=t(\\\"./buttons\\\"),i=Object.keys(n),a=[\\\"drawline\\\",\\\"drawopenpath\\\",\\\"drawclosedpath\\\",\\\"drawcircle\\\",\\\"drawrect\\\",\\\"eraseshape\\\"],o=[\\\"v1hovermode\\\",\\\"hoverclosest\\\",\\\"hovercompare\\\",\\\"togglehover\\\",\\\"togglespikelines\\\"].concat(a),s=[];i.forEach((function(t){!function(t){if(-1===o.indexOf(t._cat||t.name)){var e=t.name,r=(t._cat||t.name).toLowerCase();-1===s.indexOf(e)&&s.push(e),-1===s.indexOf(r)&&s.push(r)}}(n[t])})),s.sort(),e.exports={DRAW_MODES:a,backButtons:o,foreButtons:s}},{\\\"./buttons\\\":718}],720:[function(t,e,r){\\\"use strict\\\";var n=t(\\\"../../lib\\\"),i=t(\\\"../color\\\"),a=t(\\\"../../plot_api/plot_template\\\"),o=t(\\\"./attributes\\\");e.exports=function(t,e){var r=t.modebar||{},s=a.newContainer(e,\\\"modebar\\\");function l(t,e){return n.coerce(r,s,o,t,e)}l(\\\"orientation\\\"),l(\\\"bgcolor\\\",i.addOpacity(e.paper_bgcolor,.5));var c=i.contrast(i.rgb(e.modebar.bgcolor));l(\\\"color\\\",i.addOpacity(c,.3)),l(\\\"activecolor\\\",i.addOpacity(c,.7)),l(\\\"uirevision\\\",e.uirevision),l(\\\"add\\\"),l(\\\"remove\\\")}},{\\\"../../lib\\\":795,\\\"../../plot_api/plot_template\\\":834,\\\"../color\\\":658,\\\"./attributes\\\":717}],721:[function(t,e,r){\\\"use strict\\\";e.exports={moduleType:\\\"component\\\",name:\\\"modebar\\\",layoutAttributes:t(\\\"./attributes\\\"),supplyLayoutDefaults:t(\\\"./defaults\\\"),manage:t(\\\"./manage\\\")}},{\\\"./attributes\\\":717,\\\"./defaults\\\":720,\\\"./manage\\\":722}],722:[function(t,e,r){\\\"use strict\\\";var n=t(\\\"../../plots/cartesian/axis_ids\\\"),i=t(\\\"../../traces/scatter/subtypes\\\"),a=t(\\\"../../registry\\\"),o=t(\\\"../fx/helpers\\\").isUnifiedHover,s=t(\\\"./modebar\\\"),l=t(\\\"./buttons\\\"),c=t(\\\"./constants\\\").DRAW_MODES;e.exports=function(t){var e=t._fullLayout,r=t._context,u=e._modeBar;if(r.displayModeBar||r.watermark){if(!Array.isArray(r.modeBarButtonsToRemove))throw new Error([\\\"*modeBarButtonsToRemove* configuration options\\\",\\\"must be an array.\\\"].join(\\\" \\\"));if(!Array.isArray(r.modeBarButtonsToAdd))throw new Error([\\\"*modeBarButtonsToAdd* configuration options\\\",\\\"must be an array.\\\"].join(\\\" \\\"));var f,h=r.modeBarButtons;f=Array.isArray(h)&&h.length?function(t){for(var e=0;e<t.length;e++)for(var r=t[e],n=0;n<r.length;n++){var i=r[n];if(\\\"string\\\"==typeof i){if(void 0===l[i])throw new Error([\\\"*modeBarButtons* configuration options\\\",\\\"invalid button name\\\"].join(\\\" \\\"));t[e][n]=l[i]}}return t}(h):!r.displayModeBar&&r.watermark?[]:function(t){var e=t._fullLayout,r=t._fullData,s=t._context;function u(t,e){if(\\\"string\\\"==typeof e){if(e.toLowerCase()===t.toLowerCase())return!0}else{var r=e.name,n=e._cat||e.name;if(r===t||n===t.toLowerCase())return!0}return!1}var f=e.modebar.add;\\\"string\\\"==typeof f&&(f=[f]);var h=e.modebar.remove;\\\"string\\\"==typeof h&&(h=[h]);var p=s.modeBarButtonsToAdd.concat(f.filter((function(t){for(var e=0;e<s.modeBarButtonsToRemove.length;e++)if(u(t,s.modeBarButtonsToRemove[e]))return!1;return!0}))),d=s.modeBarButtonsToRemove.concat(h.filter((function(t){for(var e=0;e<s.modeBarButtonsToAdd.length;e++)if(u(t,s.modeBarButtonsToAdd[e]))return!1;return!0}))),m=e._has(\\\"cartesian\\\"),g=e._has(\\\"gl3d\\\"),v=e._has(\\\"geo\\\"),y=e._has(\\\"pie\\\"),x=e._has(\\\"funnelarea\\\"),b=e._has(\\\"gl2d\\\"),_=e._has(\\\"ternary\\\"),w=e._has(\\\"mapbox\\\"),T=e._has(\\\"polar\\\"),k=e._has(\\\"sankey\\\"),M=function(t){for(var e=n.list({_fullLayout:t},null,!0),r=0;r<e.length;r++)if(!e[r].fixedrange)return!1;return!0}(e),A=o(e.hovermode),S=[];function E(t){if(t.length){for(var e=[],r=0;r<t.length;r++){for(var n=t[r],i=l[n],a=i.name.toLowerCase(),o=(i._cat||i.name).toLowerCase(),s=!1,c=0;c<d.length;c++){var u=d[c].toLowerCase();if(u===a||u===o){s=!0;break}}s||e.push(l[n])}S.push(e)}}var L=[\\\"toImage\\\"];s.showEditInChartStudio?L.push(\\\"editInChartStudio\\\"):s.showSendToCloud&&L.push(\\\"sendDataToCloud\\\");E(L);var C=[],P=[],I=[],O=[];(m||b||y||x||_)+v+g+w+T>1?(P=[\\\"toggleHover\\\"],I=[\\\"resetViews\\\"]):v?(C=[\\\"zoomInGeo\\\",\\\"zoomOutGeo\\\"],P=[\\\"hoverClosestGeo\\\"],I=[\\\"resetGeo\\\"]):g?(P=[\\\"hoverClosest3d\\\"],I=[\\\"resetCameraDefault3d\\\",\\\"resetCameraLastSave3d\\\"]):w?(C=[\\\"zoomInMapbox\\\",\\\"zoomOutMapbox\\\"],P=[\\\"toggleHover\\\"],I=[\\\"resetViewMapbox\\\"]):b?P=[\\\"hoverClosestGl2d\\\"]:y?P=[\\\"hoverClosestPie\\\"]:k?(P=[\\\"hoverClosestCartesian\\\",\\\"hoverCompareCartesian\\\"],I=[\\\"resetViewSankey\\\"]):P=[\\\"toggleHover\\\"];m&&(P=[\\\"toggleSpikelines\\\",\\\"hoverClosestCartesian\\\",\\\"hoverCompareCartesian\\\"]);(function(t){for(var e=0;e<t.length;e++)if(!a.traceIs(t[e],\\\"noHover\\\"))return!1;return!0}(r)||A)&&(P=[]);!m&&!b||M||(C=[\\\"zoomIn2d\\\",\\\"zoomOut2d\\\",\\\"autoScale2d\\\"],\\\"resetViews\\\"!==I[0]&&(I=[\\\"resetScale2d\\\"]));g?O=[\\\"zoom3d\\\",\\\"pan3d\\\",\\\"orbitRotation\\\",\\\"tableRotation\\\"]:(m||b)&&!M||_?O=[\\\"zoom2d\\\",\\\"pan2d\\\"]:w||v?O=[\\\"pan2d\\\"]:T&&(O=[\\\"zoom2d\\\"]);(function(t){for(var e=!1,r=0;r<t.length&&!e;r++){var n=t[r];n._module&&n._module.selectPoints&&(a.traceIs(n,\\\"scatter-like\\\")?(i.hasMarkers(n)||i.hasText(n))&&(e=!0):a.traceIs(n,\\\"box-violin\\\")&&\\\"all\\\"!==n.boxpoints&&\\\"all\\\"!==n.points||(e=!0))}return e})(r)&&O.push(\\\"select2d\\\",\\\"lasso2d\\\");var z=[],D=function(t){-1===z.indexOf(t)&&-1!==P.indexOf(t)&&z.push(t)};if(Array.isArray(p)){for(var R=[],F=0;F<p.length;F++){var B=p[F];\\\"string\\\"==typeof 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o=n.modebar,s=\\\"hover\\\"===r.displayModeBar?\\\".js-plotly-plot .plotly:hover \\\":\\\"\\\";a.deleteRelatedStyleRule(i),a.addRelatedStyleRule(i,s+\\\"#\\\"+i+\\\" .modebar-group\\\",\\\"background-color: \\\"+o.bgcolor),a.addRelatedStyleRule(i,\\\"#\\\"+i+\\\" .modebar-btn .icon path\\\",\\\"fill: \\\"+o.color),a.addRelatedStyleRule(i,\\\"#\\\"+i+\\\" .modebar-btn:hover .icon path\\\",\\\"fill: \\\"+o.activecolor),a.addRelatedStyleRule(i,\\\"#\\\"+i+\\\" .modebar-btn.active .icon path\\\",\\\"fill: \\\"+o.activecolor);var l=!this.hasButtons(e),c=this.hasLogo!==r.displaylogo,u=this.locale!==r.locale;if(this.locale=r.locale,(l||c||u)&&(this.removeAllButtons(),this.updateButtons(e),r.watermark||r.displaylogo)){var f=this.getLogo();r.watermark&&(f.className=f.className+\\\" watermark\\\"),\\\"v\\\"===n.modebar.orientation?this.element.insertBefore(f,this.element.childNodes[0]):this.element.appendChild(f),this.hasLogo=!0}this.updateActiveButton()},c.updateButtons=function(t){var 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b={x:v.lx+d+o.pad.l,y:v.ly+g+o.pad.t,yPad:f.gapButton,xPad:f.gapButton,index:0},k={l:b.x+o.borderwidth,t:b.y+o.borderwidth};u.each((function(s,l){var c=n.select(this);c.call(y,o,s,t).call(A,o,b),c.on(\\\"click\\\",(function(){n.event.defaultPrevented||(s.execute&&(s.args2&&o.active===l?(m(t,o,0,e,r,a,-1),i.executeAPICommand(t,s.method,s.args2)):(m(t,o,0,e,r,a,l),i.executeAPICommand(t,s.method,s.args))),t.emit(\\\"plotly_buttonclicked\\\",{menu:o,button:s,active:o.active}))})),c.on(\\\"mouseover\\\",(function(){c.call(w)})),c.on(\\\"mouseout\\\",(function(){c.call(T,o),u.call(_,o)}))})),u.call(_,o),x?(k.w=Math.max(v.openWidth,v.headerWidth),k.h=b.y-k.t):(k.w=b.x-k.l,k.h=Math.max(v.openHeight,v.headerHeight)),k.direction=o.direction,a&&(u.size()?function(t,e,r,n,i,a){var o,s,l,c=i.direction,u=\\\"up\\\"===c||\\\"down\\\"===c,h=i._dims,p=i.active;if(u)for(s=0,l=0;l<p;l++)s+=h.heights[l]+f.gapButton;else 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i=s.ensureSingle(t,\\\"text\\\",f.itemTextClassName,(function(t){t.attr({\\\"text-anchor\\\":\\\"start\\\",\\\"data-notex\\\":1})})),a=r.label,c=n._fullLayout._meta;c&&(a=s.templateString(a,c)),i.call(o.font,e.font).text(a).call(l.convertToTspans,n)}function _(t,e){var r=e.active;t.each((function(t,i){var o=n.select(this);i===r&&e.showactive&&o.select(\\\"rect.\\\"+f.itemRectClassName).call(a.fill,f.activeColor)}))}function w(t){t.select(\\\"rect.\\\"+f.itemRectClassName).call(a.fill,f.hoverColor)}function T(t,e){t.select(\\\"rect.\\\"+f.itemRectClassName).call(a.fill,e.bgcolor)}function k(t,e){var r=e._dims={width1:0,height1:0,heights:[],widths:[],totalWidth:0,totalHeight:0,openWidth:0,openHeight:0,lx:0,ly:0},a=o.tester.selectAll(\\\"g.\\\"+f.dropdownButtonClassName).data(s.filterVisible(e.buttons));a.enter().append(\\\"g\\\").classed(f.dropdownButtonClassName,!0);var c=-1!==[\\\"up\\\",\\\"down\\\"].indexOf(e.direction);a.each((function(i,a){var s=n.select(this);s.call(y,e,i,t);var 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u,f,h,p,d=this.position.l,m=this.position.w,g=this.position.t,v=this.position.h,y=this.position.direction,x=\\\"down\\\"===y,b=\\\"left\\\"===y,_=\\\"up\\\"===y,w=m,T=v;x||b||\\\"right\\\"===y||_||(this.position.direction=\\\"down\\\",x=!0),x||_?(f=(u=d)+w,x?(h=g,T=(p=Math.min(h+T,c))-h):T=(p=g+T)-(h=Math.max(p-T,0))):(p=(h=g)+T,b?w=(f=d+w)-(u=Math.max(f-w,0)):(u=d,w=(f=Math.min(u+w,l))-u)),this._box={l:u,t:h,w:w,h:T};var k=m>w,M=s.barLength+2*s.barPad,A=s.barWidth+2*s.barPad,S=d,E=g+v;E+A>c&&(E=c-A);var L=this.container.selectAll(\\\"rect.scrollbar-horizontal\\\").data(k?[0]:[]);L.exit().on(\\\".drag\\\",null).remove(),L.enter().append(\\\"rect\\\").classed(\\\"scrollbar-horizontal\\\",!0).call(i.fill,s.barColor),k?(this.hbar=L.attr({rx:s.barRadius,ry:s.barRadius,x:S,y:E,width:M,height:A}),this._hbarXMin=S+M/2,this._hbarTranslateMax=w-M):(delete this.hbar,delete this._hbarXMin,delete this._hbarTranslateMax);var C=v>T,P=s.barWidth+2*s.barPad,I=s.barLength+2*s.barPad,O=d+m,z=g;O+P>l&&(O=l-P);var D=this.container.selectAll(\\\"rect.scrollbar-vertical\\\").data(C?[0]:[]);D.exit().on(\\\".drag\\\",null).remove(),D.enter().append(\\\"rect\\\").classed(\\\"scrollbar-vertical\\\",!0).call(i.fill,s.barColor),C?(this.vbar=D.attr({rx:s.barRadius,ry:s.barRadius,x:O,y:z,width:P,height:I}),this._vbarYMin=z+I/2,this._vbarTranslateMax=T-I):(delete this.vbar,delete this._vbarYMin,delete this._vbarTranslateMax);var R=this.id,F=u-.5,B=C?f+P+.5:f+.5,N=h-.5,j=k?p+A+.5:p+.5,U=o._topdefs.selectAll(\\\"#\\\"+R).data(k||C?[0]:[]);if(U.exit().remove(),U.enter().append(\\\"clipPath\\\").attr(\\\"id\\\",R).append(\\\"rect\\\"),k||C?(this._clipRect=U.select(\\\"rect\\\").attr({x:Math.floor(F),y:Math.floor(N),width:Math.ceil(B)-Math.floor(F),height:Math.ceil(j)-Math.floor(N)}),this.container.call(a.setClipUrl,R,this.gd),this.bg.attr({x:d,y:g,width:m,height:v})):(this.bg.attr({width:0,height:0}),this.container.on(\\\"wheel\\\",null).on(\\\".drag\\\",null).call(a.setClipUrl,null),delete this._clipRect),k||C){var V=n.behavior.drag().on(\\\"dragstart\\\",(function(){n.event.sourceEvent.preventDefault()})).on(\\\"drag\\\",this._onBoxDrag.bind(this));this.container.on(\\\"wheel\\\",null).on(\\\"wheel\\\",this._onBoxWheel.bind(this)).on(\\\".drag\\\",null).call(V);var q=n.behavior.drag().on(\\\"dragstart\\\",(function(){n.event.sourceEvent.preventDefault(),n.event.sourceEvent.stopPropagation()})).on(\\\"drag\\\",this._onBarDrag.bind(this));k&&this.hbar.on(\\\".drag\\\",null).call(q),C&&this.vbar.on(\\\".drag\\\",null).call(q)}this.setTranslate(e,r)},s.prototype.disable=function(){(this.hbar||this.vbar)&&(this.bg.attr({width:0,height:0}),this.container.on(\\\"wheel\\\",null).on(\\\".drag\\\",null).call(a.setClipUrl,null),delete this._clipRect),this.hbar&&(this.hbar.on(\\\".drag\\\",null),this.hbar.remove(),delete this.hbar,delete this._hbarXMin,delete this._hbarTranslateMax),this.vbar&&(this.vbar.on(\\\".drag\\\",null),this.vbar.remove(),delete this.vbar,delete this._vbarYMin,delete this._vbarTranslateMax)},s.prototype._onBoxDrag=function(){var t=this.translateX,e=this.translateY;this.hbar&&(t-=n.event.dx),this.vbar&&(e-=n.event.dy),this.setTranslate(t,e)},s.prototype._onBoxWheel=function(){var t=this.translateX,e=this.translateY;this.hbar&&(t+=n.event.deltaY),this.vbar&&(e+=n.event.deltaY),this.setTranslate(t,e)},s.prototype._onBarDrag=function(){var t=this.translateX,e=this.translateY;if(this.hbar){var r=t+this._hbarXMin,i=r+this._hbarTranslateMax;t=(o.constrain(n.event.x,r,i)-r)/(i-r)*(this.position.w-this._box.w)}if(this.vbar){var a=e+this._vbarYMin,s=a+this._vbarTranslateMax;e=(o.constrain(n.event.y,a,s)-a)/(s-a)*(this.position.h-this._box.h)}this.setTranslate(t,e)},s.prototype.setTranslate=function(t,e){var r=this.position.w-this._box.w,n=this.position.h-this._box.h;if(t=o.constrain(t||0,0,r),e=o.constrain(e||0,0,n),this.translateX=t,this.translateY=e,this.container.call(a.setTranslate,this._box.l-this.position.l-t,this._box.t-this.position.t-e),this._clipRect&&this._clipRect.attr({x:Math.floor(this.position.l+t-.5),y:Math.floor(this.position.t+e-.5)}),this.hbar){var i=t/r;this.hbar.call(a.setTranslate,t+i*this._hbarTranslateMax,e)}if(this.vbar){var s=e/n;this.vbar.call(a.setTranslate,t,e+s*this._vbarTranslateMax)}}},{\\\"../../lib\\\":795,\\\"../color\\\":658,\\\"../drawing\\\":680,\\\"@plotly/d3\\\":58}],763:[function(t,e,r){\\\"use strict\\\";e.exports={FROM_BL:{left:0,center:.5,right:1,bottom:0,middle:.5,top:1},FROM_TL:{left:0,center:.5,right:1,bottom:1,middle:.5,top:0},FROM_BR:{left:1,center:.5,right:0,bottom:0,middle:.5,top:1},LINE_SPACING:1.3,CAP_SHIFT:.7,MID_SHIFT:.35,OPPOSITE_SIDE:{left:\\\"right\\\",right:\\\"left\\\",top:\\\"bottom\\\",bottom:\\\"top\\\"}}},{}],764:[function(t,e,r){\\\"use strict\\\";e.exports={axisRefDescription:function(t,e,r){return[\\\"If set to a\\\",t,\\\"axis id (e.g. *\\\"+t+\\\"* or\\\",\\\"*\\\"+t+\\\"2*), the `\\\"+t+\\\"` position refers to a\\\",t,\\\"coordinate. 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r,i=[],a=[];if(!(r=\\\"string\\\"==typeof e?n.getModule(e).plot:\\\"function\\\"==typeof e?e:e.plot))return[i,t];for(var o=0;o<t.length;o++){var s=t[o],l=s[0].trace;!0===l.visible&&0!==l._length&&(l._module.plot===r?i.push(s):a.push(s))}return[i,a]},r.getSubplotData=function(t,e,r){if(!n.subplotsRegistry[e])return[];var a,o,s,l=n.subplotsRegistry[e].attr,c=[];if(\\\"gl2d\\\"===e){var u=r.match(i);o=\\\"x\\\"+u[1],s=\\\"y\\\"+u[2]}for(var f=0;f<t.length;f++)a=t[f],\\\"gl2d\\\"===e&&n.traceIs(a,\\\"gl2d\\\")?a[l[0]]===o&&a[l[1]]===s&&c.push(a):a[l]===r&&c.push(a);return c}},{\\\"../registry\\\":923,\\\"./cartesian/constants\\\":851}],883:[function(t,e,r){\\\"use strict\\\";var n=t(\\\"mouse-change\\\"),i=t(\\\"mouse-wheel\\\"),a=t(\\\"mouse-event-offset\\\"),o=t(\\\"../cartesian/constants\\\"),s=t(\\\"has-passive-events\\\");function l(t,e){this.element=t,this.plot=e,this.mouseListener=null,this.wheelListener=null,this.lastInputTime=Date.now(),this.lastPos=[0,0],this.boxEnabled=!1,this.boxInited=!1,this.boxStart=[0,0],this.boxEnd=[0,0],this.dragStart=[0,0]}e.exports=function(t){var e=t.mouseContainer,r=t.glplot,c=new l(e,r);function u(){t.xaxis.autorange=!1,t.yaxis.autorange=!1}function f(e,n,i){var a,s,l=t.calcDataBox(),f=r.viewBox,h=c.lastPos[0],p=c.lastPos[1],d=o.MINDRAG*r.pixelRatio,m=o.MINZOOM*r.pixelRatio;function g(e,r,n){var i=Math.min(r,n),a=Math.max(r,n);i!==a?(l[e]=i,l[e+2]=a,c.dataBox=l,t.setRanges(l)):(t.selectBox.selectBox=[0,0,1,1],t.glplot.setDirty())}switch(n*=r.pixelRatio,i*=r.pixelRatio,i=f[3]-f[1]-i,t.fullLayout.dragmode){case\\\"zoom\\\":if(e){var v=n/(f[2]-f[0])*(l[2]-l[0])+l[0],y=i/(f[3]-f[1])*(l[3]-l[1])+l[1];c.boxInited||(c.boxStart[0]=v,c.boxStart[1]=y,c.dragStart[0]=n,c.dragStart[1]=i),c.boxEnd[0]=v,c.boxEnd[1]=y,c.boxInited=!0,c.boxEnabled||c.boxStart[0]===c.boxEnd[0]&&c.boxStart[1]===c.boxEnd[1]||(c.boxEnabled=!0);var x=Math.abs(c.dragStart[0]-n)<m,b=Math.abs(c.dragStart[1]-i)<m;if(!function(){for(var e=t.graphDiv._fullLayout._axisConstraintGroups,r=t.xaxis._id,n=t.yaxis._id,i=0;i<e.length;i++)if(-1!==e[i][r]){if(-1!==e[i][n])return!0;break}return!1}()||x&&b)x&&(c.boxEnd[0]=c.boxStart[0]),b&&(c.boxEnd[1]=c.boxStart[1]);else{a=c.boxEnd[0]-c.boxStart[0],s=c.boxEnd[1]-c.boxStart[1];var _=(l[3]-l[1])/(l[2]-l[0]);Math.abs(a*_)>Math.abs(s)?(c.boxEnd[1]=c.boxStart[1]+Math.abs(a)*_*(s>=0?1:-1),c.boxEnd[1]<l[1]?(c.boxEnd[1]=l[1],c.boxEnd[0]=c.boxStart[0]+(l[1]-c.boxStart[1])/Math.abs(_)):c.boxEnd[1]>l[3]&&(c.boxEnd[1]=l[3],c.boxEnd[0]=c.boxStart[0]+(l[3]-c.boxStart[1])/Math.abs(_))):(c.boxEnd[0]=c.boxStart[0]+Math.abs(s)/_*(a>=0?1:-1),c.boxEnd[0]<l[0]?(c.boxEnd[0]=l[0],c.boxEnd[1]=c.boxStart[1]+(l[0]-c.boxStart[0])*Math.abs(_)):c.boxEnd[0]>l[2]&&(c.boxEnd[0]=l[2],c.boxEnd[1]=c.boxStart[1]+(l[2]-c.boxStart[0])*Math.abs(_)))}}else c.boxEnabled?(a=c.boxStart[0]!==c.boxEnd[0],s=c.boxStart[1]!==c.boxEnd[1],a||s?(a&&(g(0,c.boxStart[0],c.boxEnd[0]),t.xaxis.autorange=!1),s&&(g(1,c.boxStart[1],c.boxEnd[1]),t.yaxis.autorange=!1),t.relayoutCallback()):t.glplot.setDirty(),c.boxEnabled=!1,c.boxInited=!1):c.boxInited&&(c.boxInited=!1);break;case\\\"pan\\\":c.boxEnabled=!1,c.boxInited=!1,e?(c.panning||(c.dragStart[0]=n,c.dragStart[1]=i),Math.abs(c.dragStart[0]-n)<d&&(n=c.dragStart[0]),Math.abs(c.dragStart[1]-i)<d&&(i=c.dragStart[1]),a=(h-n)*(l[2]-l[0])/(r.viewBox[2]-r.viewBox[0]),s=(p-i)*(l[3]-l[1])/(r.viewBox[3]-r.viewBox[1]),l[0]+=a,l[2]+=a,l[1]+=s,l[3]+=s,t.setRanges(l),c.panning=!0,c.lastInputTime=Date.now(),u(),t.cameraChanged(),t.handleAnnotations()):c.panning&&(c.panning=!1,t.relayoutCallback())}c.lastPos[0]=n,c.lastPos[1]=i}return c.mouseListener=n(e,f),e.addEventListener(\\\"touchstart\\\",(function(t){var r=a(t.changedTouches[0],e);f(0,r[0],r[1]),f(1,r[0],r[1]),t.preventDefault()}),!!s&&{passive:!1}),e.addEventListener(\\\"touchmove\\\",(function(t){t.preventDefault();var r=a(t.changedTouches[0],e);f(1,r[0],r[1]),t.preventDefault()}),!!s&&{passive:!1}),e.addEventListener(\\\"touchend\\\",(function(t){f(0,c.lastPos[0],c.lastPos[1]),t.preventDefault()}),!!s&&{passive:!1}),c.wheelListener=i(e,(function(e,n){if(!t.scrollZoom)return!1;var i=t.calcDataBox(),a=r.viewBox,o=c.lastPos[0],s=c.lastPos[1],l=Math.exp(5*n/(a[3]-a[1])),f=o/(a[2]-a[0])*(i[2]-i[0])+i[0],h=s/(a[3]-a[1])*(i[3]-i[1])+i[1];return i[0]=(i[0]-f)*l+f,i[2]=(i[2]-f)*l+f,i[1]=(i[1]-h)*l+h,i[3]=(i[3]-h)*l+h,t.setRanges(i),c.lastInputTime=Date.now(),u(),t.cameraChanged(),t.handleAnnotations(),t.relayoutCallback(),!0}),!0),c}},{\\\"../cartesian/constants\\\":851,\\\"has-passive-events\\\":436,\\\"mouse-change\\\":462,\\\"mouse-event-offset\\\":463,\\\"mouse-wheel\\\":465}],884:[function(t,e,r){\\\"use strict\\\";var n=t(\\\"../cartesian/axes\\\"),i=t(\\\"../../lib/str2rgbarray\\\");function a(t){this.scene=t,this.gl=t.gl,this.pixelRatio=t.pixelRatio,this.screenBox=[0,0,1,1],this.viewBox=[0,0,1,1],this.dataBox=[-1,-1,1,1],this.borderLineEnable=[!1,!1,!1,!1],this.borderLineWidth=[1,1,1,1],this.borderLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.ticks=[[],[]],this.tickEnable=[!0,!0,!1,!1],this.tickPad=[15,15,15,15],this.tickAngle=[0,0,0,0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickMarkLength=[0,0,0,0],this.tickMarkWidth=[0,0,0,0],this.tickMarkColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labels=[\\\"x\\\",\\\"y\\\"],this.labelEnable=[!0,!0,!1,!1],this.labelAngle=[0,Math.PI/2,0,3*Math.PI/2],this.labelPad=[15,15,15,15],this.labelSize=[12,12],this.labelFont=[\\\"sans-serif\\\",\\\"sans-serif\\\"],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.title=\\\"\\\",this.titleEnable=!0,this.titleCenter=[0,0,0,0],this.titleAngle=0,this.titleColor=[0,0,0,1],this.titleFont=\\\"sans-serif\\\",this.titleSize=18,this.gridLineEnable=[!0,!0],this.gridLineColor=[[0,0,0,.5],[0,0,0,.5]],this.gridLineWidth=[1,1],this.zeroLineEnable=[!0,!0],this.zeroLineWidth=[1,1],this.zeroLineColor=[[0,0,0,1],[0,0,0,1]],this.borderColor=[0,0,0,0],this.backgroundColor=[0,0,0,0],this.static=this.scene.staticPlot}var o=a.prototype,s=[\\\"xaxis\\\",\\\"yaxis\\\"];o.merge=function(t){var e,r,n,a,o,l,c,u,f,h,p;for(this.titleEnable=!1,this.backgroundColor=i(t.plot_bgcolor),h=0;h<2;++h){var d=(e=s[h]).charAt(0);for(n=(r=t[this.scene[e]._name]).title.text===this.scene.fullLayout._dfltTitle[d]?\\\"\\\":r.title.text,p=0;p<=2;p+=2)this.labelEnable[h+p]=!1,this.labels[h+p]=n,this.labelColor[h+p]=i(r.title.font.color),this.labelFont[h+p]=r.title.font.family,this.labelSize[h+p]=r.title.font.size,this.labelPad[h+p]=this.getLabelPad(e,r),this.tickEnable[h+p]=!1,this.tickColor[h+p]=i((r.tickfont||{}).color),this.tickAngle[h+p]=\\\"auto\\\"===r.tickangle?0:Math.PI*-r.tickangle/180,this.tickPad[h+p]=this.getTickPad(r),this.tickMarkLength[h+p]=0,this.tickMarkWidth[h+p]=r.tickwidth||0,this.tickMarkColor[h+p]=i(r.tickcolor),this.borderLineEnable[h+p]=!1,this.borderLineColor[h+p]=i(r.linecolor),this.borderLineWidth[h+p]=r.linewidth||0;c=this.hasSharedAxis(r),o=this.hasAxisInDfltPos(e,r)&&!c,l=this.hasAxisInAltrPos(e,r)&&!c,a=r.mirror||!1,u=c?-1!==String(a).indexOf(\\\"all\\\"):!!a,f=c?\\\"allticks\\\"===a:-1!==String(a).indexOf(\\\"ticks\\\"),o?this.labelEnable[h]=!0:l&&(this.labelEnable[h+2]=!0),o?this.tickEnable[h]=r.showticklabels:l&&(this.tickEnable[h+2]=r.showticklabels),(o||u)&&(this.borderLineEnable[h]=r.showline),(l||u)&&(this.borderLineEnable[h+2]=r.showline),(o||f)&&(this.tickMarkLength[h]=this.getTickMarkLength(r)),(l||f)&&(this.tickMarkLength[h+2]=this.getTickMarkLength(r)),this.gridLineEnable[h]=r.showgrid,this.gridLineColor[h]=i(r.gridcolor),this.gridLineWidth[h]=r.gridwidth,this.zeroLineEnable[h]=r.zeroline,this.zeroLineColor[h]=i(r.zerolinecolor),this.zeroLineWidth[h]=r.zerolinewidth}},o.hasSharedAxis=function(t){var e=this.scene,r=e.fullLayout._subplots.gl2d;return 0!==n.findSubplotsWithAxis(r,t).indexOf(e.id)},o.hasAxisInDfltPos=function(t,e){var r=e.side;return\\\"xaxis\\\"===t?\\\"bottom\\\"===r:\\\"yaxis\\\"===t?\\\"left\\\"===r:void 0},o.hasAxisInAltrPos=function(t,e){var r=e.side;return\\\"xaxis\\\"===t?\\\"top\\\"===r:\\\"yaxis\\\"===t?\\\"right\\\"===r:void 0},o.getLabelPad=function(t,e){var r=e.title.font.size,n=e.showticklabels;return\\\"xaxis\\\"===t?\\\"top\\\"===e.side?r*(1.5+(n?1:0))-10:r*(1.5+(n?.5:0))-10:\\\"yaxis\\\"===t?\\\"right\\\"===e.side?10+r*(1.5+(n?1:.5)):10+r*(1.5+(n?.5:0)):void 0},o.getTickPad=function(t){return\\\"outside\\\"===t.ticks?10+t.ticklen:15},o.getTickMarkLength=function(t){if(!t.ticks)return 0;var e=t.ticklen;return\\\"inside\\\"===t.ticks?-e:e},e.exports=function(t){return new a(t)}},{\\\"../../lib/str2rgbarray\\\":819,\\\"../cartesian/axes\\\":845}],885:[function(t,e,r){\\\"use strict\\\";var n=t(\\\"../../plot_api/edit_types\\\").overrideAll,i=t(\\\"./scene2d\\\"),a=t(\\\"../layout_attributes\\\"),o=t(\\\"../../constants/xmlns_namespaces\\\"),s=t(\\\"../cartesian/constants\\\"),l=t(\\\"../cartesian\\\"),c=t(\\\"../../components/fx/layout_attributes\\\"),u=t(\\\"../get_data\\\").getSubplotData;r.name=\\\"gl2d\\\",r.attr=[\\\"xaxis\\\",\\\"yaxis\\\"],r.idRoot=[\\\"x\\\",\\\"y\\\"],r.idRegex=s.idRegex,r.attrRegex=s.attrRegex,r.attributes=t(\\\"../cartesian/attributes\\\"),r.supplyLayoutDefaults=function(t,e,r){e._has(\\\"cartesian\\\")||l.supplyLayoutDefaults(t,e,r)},r.layoutAttrOverrides=n(l.layoutAttributes,\\\"plot\\\",\\\"from-root\\\"),r.baseLayoutAttrOverrides=n({plot_bgcolor:a.plot_bgcolor,hoverlabel:c.hoverlabel},\\\"plot\\\",\\\"nested\\\"),r.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=e._subplots.gl2d,a=0;a<n.length;a++){var o=n[a],s=e._plots[o],l=u(r,\\\"gl2d\\\",o),c=s._scene2d;void 0===c&&(c=new i({id:o,graphDiv:t,container:t.querySelector(\\\".gl-container\\\"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio},e),s._scene2d=c),c.plot(l,t.calcdata,e,t.layout)}},r.clean=function(t,e,r,n){for(var i=n._subplots.gl2d||[],a=0;a<i.length;a++){var o=i[a],s=n._plots[o];if(s._scene2d){var c=u(t,\\\"gl2d\\\",o);0===c.length&&(s._scene2d.destroy(),delete n._plots[o])}}l.clean.apply(this,arguments)},r.drawFramework=function(t){t._context.staticPlot||l.drawFramework(t)},r.toSVG=function(t){for(var e=t._fullLayout,r=e._subplots.gl2d,n=0;n<r.length;n++){var i=e._plots[r[n]]._scene2d,a=i.toImage(\\\"png\\\");e._glimages.append(\\\"svg:image\\\").attr({xmlns:o.svg,\\\"xlink:href\\\":a,x:0,y:0,width:\\\"100%\\\",height:\\\"100%\\\",preserveAspectRatio:\\\"none\\\"}),i.destroy()}},r.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots.gl2d,n=0;n<r.length;n++){e._plots[r[n]]._scene2d.updateFx(e.dragmode)}}},{\\\"../../components/fx/layout_attributes\\\":699,\\\"../../constants/xmlns_namespaces\\\":772,\\\"../../plot_api/edit_types\\\":827,\\\"../cartesian\\\":858,\\\"../cartesian/attributes\\\":843,\\\"../cartesian/constants\\\":851,\\\"../get_data\\\":882,\\\"../layout_attributes\\\":900,\\\"./scene2d\\\":886}],886:[function(t,e,r){\\\"use strict\\\";var n,i,a=t(\\\"../../registry\\\"),o=t(\\\"../../plots/cartesian/axes\\\"),s=t(\\\"../../components/fx\\\"),l=t(\\\"gl-plot2d\\\"),c=t(\\\"gl-spikes2d\\\"),u=t(\\\"gl-select-box\\\"),f=t(\\\"webgl-context\\\"),h=t(\\\"./convert\\\"),p=t(\\\"./camera\\\"),d=t(\\\"../../lib/show_no_webgl_msg\\\"),m=t(\\\"../cartesian/constraints\\\"),g=m.enforce,v=m.clean,y=t(\\\"../cartesian/autorange\\\").doAutoRange,x=t(\\\"../../components/dragelement/helpers\\\"),b=x.drawMode,_=x.selectMode,w=[\\\"xaxis\\\",\\\"yaxis\\\"],T=t(\\\"../cartesian/constants\\\").SUBPLOT_PATTERN;function k(t,e){this.container=t.container,this.graphDiv=t.graphDiv,this.pixelRatio=t.plotGlPixelRatio||window.devicePixelRatio,this.id=t.id,this.staticPlot=!!t.staticPlot,this.scrollZoom=this.graphDiv._context._scrollZoom.cartesian,this.fullData=null,this.updateRefs(e),this.makeFramework(),this.stopped||(this.glplotOptions=h(this),this.glplotOptions.merge(e),this.glplot=l(this.glplotOptions),this.camera=p(this),this.traces={},this.spikes=c(this.glplot),this.selectBox=u(this.glplot,{innerFill:!1,outerFill:!0}),this.lastButtonState=0,this.pickResult=null,this.isMouseOver=!0,this.stopped=!1,this.redraw=this.draw.bind(this),this.redraw())}e.exports=k;var M=k.prototype;M.makeFramework=function(){if(this.staticPlot){if(!(i||(n=document.createElement(\\\"canvas\\\"),i=f({canvas:n,preserveDrawingBuffer:!1,premultipliedAlpha:!0,antialias:!0}))))throw new Error(\\\"Error creating static canvas/context for image server\\\");this.canvas=n,this.gl=i}else{var t=this.container.querySelector(\\\".gl-canvas-focus\\\"),e=f({canvas:t,preserveDrawingBuffer:!0,premultipliedAlpha:!0});if(!e)return d(this),void(this.stopped=!0);this.canvas=t,this.gl=e}var r=this.canvas;r.style.width=\\\"100%\\\",r.style.height=\\\"100%\\\",r.style.position=\\\"absolute\\\",r.style.top=\\\"0px\\\",r.style.left=\\\"0px\\\",r.style[\\\"pointer-events\\\"]=\\\"none\\\",this.updateSize(r);var a=this.svgContainer=document.createElementNS(\\\"http://www.w3.org/2000/svg\\\",\\\"svg\\\");a.style.position=\\\"absolute\\\",a.style.top=a.style.left=\\\"0px\\\",a.style.width=a.style.height=\\\"100%\\\",a.style[\\\"z-index\\\"]=20,a.style[\\\"pointer-events\\\"]=\\\"none\\\";var o=this.mouseContainer=document.createElement(\\\"div\\\");o.style.position=\\\"absolute\\\",o.style[\\\"pointer-events\\\"]=\\\"auto\\\",this.pickCanvas=this.container.querySelector(\\\".gl-canvas-pick\\\");var s=this.container;s.appendChild(a),s.appendChild(o);var l=this;o.addEventListener(\\\"mouseout\\\",(function(){l.isMouseOver=!1,l.unhover()})),o.addEventListener(\\\"mouseover\\\",(function(){l.isMouseOver=!0}))},M.toImage=function(t){t||(t=\\\"png\\\"),this.stopped=!0,this.staticPlot&&this.container.appendChild(n),this.updateSize(this.canvas);var e=this.glplot.gl,r=e.drawingBufferWidth,i=e.drawingBufferHeight;e.clearColor(1,1,1,0),e.clear(e.COLOR_BUFFER_BIT|e.DEPTH_BUFFER_BIT),this.glplot.setDirty(),this.glplot.draw(),e.bindFramebuffer(e.FRAMEBUFFER,null);var a=new Uint8Array(r*i*4);e.readPixels(0,0,r,i,e.RGBA,e.UNSIGNED_BYTE,a);for(var o=0,s=i-1;o<s;++o,--s)for(var l=0;l<r;++l)for(var c=0;c<4;++c){var u=a[4*(r*o+l)+c];a[4*(r*o+l)+c]=a[4*(r*s+l)+c],a[4*(r*s+l)+c]=u}var f=document.createElement(\\\"canvas\\\");f.width=r,f.height=i;var h,p=f.getContext(\\\"2d\\\"),d=p.createImageData(r,i);switch(d.data.set(a),p.putImageData(d,0,0),t){case\\\"jpeg\\\":h=f.toDataURL(\\\"image/jpeg\\\");break;case\\\"webp\\\":h=f.toDataURL(\\\"image/webp\\\");break;default:h=f.toDataURL(\\\"image/png\\\")}return this.staticPlot&&this.container.removeChild(n),h},M.updateSize=function(t){t||(t=this.canvas);var e=this.pixelRatio,r=this.fullLayout,n=r.width,i=r.height,a=0|Math.ceil(e*n),o=0|Math.ceil(e*i);return t.width===a&&t.height===o||(t.width=a,t.height=o),t},M.computeTickMarks=function(){this.xaxis.setScale(),this.yaxis.setScale();for(var t=[o.calcTicks(this.xaxis),o.calcTicks(this.yaxis)],e=0;e<2;++e)for(var r=0;r<t[e].length;++r)t[e][r].text=t[e][r].text+\\\"\\\";return t},M.updateRefs=function(t){this.fullLayout=t;var e=this.id.match(T),r=\\\"xaxis\\\"+e[1],n=\\\"yaxis\\\"+e[2];this.xaxis=this.fullLayout[r],this.yaxis=this.fullLayout[n]},M.relayoutCallback=function(){var t=this.graphDiv,e=this.xaxis,r=this.yaxis,n=t.layout,i={},o=i[e._name+\\\".range\\\"]=e.range.slice(),s=i[r._name+\\\".range\\\"]=r.range.slice();i[e._name+\\\".autorange\\\"]=e.autorange,i[r._name+\\\".autorange\\\"]=r.autorange,a.call(\\\"_storeDirectGUIEdit\\\",t.layout,t._fullLayout._preGUI,i);var l=n[e._name];l.range=o,l.autorange=e.autorange;var c=n[r._name];c.range=s,c.autorange=r.autorange,i.lastInputTime=this.camera.lastInputTime,t.emit(\\\"plotly_relayout\\\",i)},M.cameraChanged=function(){var t=this.camera;this.glplot.setDataBox(this.calcDataBox());var e=this.computeTickMarks();(function(t,e){for(var r=0;r<2;++r){var n=t[r],i=e[r];if(n.length!==i.length)return!0;for(var a=0;a<n.length;++a)if(n[a].x!==i[a].x)return!0}return!1})(e,this.glplotOptions.ticks)&&(this.glplotOptions.ticks=e,this.glplotOptions.dataBox=t.dataBox,this.glplot.update(this.glplotOptions),this.handleAnnotations())},M.handleAnnotations=function(){for(var t=this.graphDiv,e=this.fullLayout.annotations,r=0;r<e.length;r++){var n=e[r];n.xref===this.xaxis._id&&n.yref===this.yaxis._id&&a.getComponentMethod(\\\"annotations\\\",\\\"drawOne\\\")(t,r)}},M.destroy=function(){if(this.glplot){var t=this.traces;t&&Object.keys(t).map((function(e){t[e].dispose(),delete t[e]})),this.glplot.dispose(),this.container.removeChild(this.svgContainer),this.container.removeChild(this.mouseContainer),this.fullData=null,this.glplot=null,this.stopped=!0,this.camera.mouseListener.enabled=!1,this.mouseContainer.removeEventListener(\\\"wheel\\\",this.camera.wheelListener),this.camera=null}},M.plot=function(t,e,r){var n=this.glplot;this.updateRefs(r),this.xaxis.clearCalc(),this.yaxis.clearCalc(),this.updateTraces(t,e),this.updateFx(r.dragmode);var i=r.width,a=r.height;this.updateSize(this.canvas);var o=this.glplotOptions;o.merge(r),o.screenBox=[0,0,i,a];var s={_fullLayout:{_axisConstraintGroups:r._axisConstraintGroups,xaxis:this.xaxis,yaxis:this.yaxis,_size:r._size}};v(s,this.xaxis),v(s,this.yaxis);var l,c,u=r._size,f=this.xaxis.domain,h=this.yaxis.domain;for(o.viewBox=[u.l+f[0]*u.w,u.b+h[0]*u.h,i-u.r-(1-f[1])*u.w,a-u.t-(1-h[1])*u.h],this.mouseContainer.style.width=u.w*(f[1]-f[0])+\\\"px\\\",this.mouseContainer.style.height=u.h*(h[1]-h[0])+\\\"px\\\",this.mouseContainer.height=u.h*(h[1]-h[0]),this.mouseContainer.style.left=u.l+f[0]*u.w+\\\"px\\\",this.mouseContainer.style.top=u.t+(1-h[1])*u.h+\\\"px\\\",c=0;c<2;++c)(l=this[w[c]])._length=o.viewBox[c+2]-o.viewBox[c],y(this.graphDiv,l),l.setScale();g(s),o.ticks=this.computeTickMarks(),o.dataBox=this.calcDataBox(),o.merge(r),n.update(o),this.glplot.draw()},M.calcDataBox=function(){var t=this.xaxis,e=this.yaxis,r=t.range,n=e.range,i=t.r2l,a=e.r2l;return[i(r[0]),a(n[0]),i(r[1]),a(n[1])]},M.setRanges=function(t){var e=this.xaxis,r=this.yaxis,n=e.l2r,i=r.l2r;e.range=[n(t[0]),n(t[2])],r.range=[i(t[1]),i(t[3])]},M.updateTraces=function(t,e){var r,n,i,a=Object.keys(this.traces);this.fullData=t;t:for(r=0;r<a.length;r++){var o=a[r],s=this.traces[o];for(n=0;n<t.length;n++)if((i=t[n]).uid===o&&i.type===s.type)continue t;s.dispose(),delete this.traces[o]}for(r=0;r<t.length;r++){i=t[r];var l=e[r],c=this.traces[i.uid];c?c.update(i,l):(c=i._module.plot(this,i,l),this.traces[i.uid]=c)}this.glplot.objects.sort((function(t,e){return t._trace.index-e._trace.index}))},M.updateFx=function(t){_(t)||b(t)?(this.pickCanvas.style[\\\"pointer-events\\\"]=\\\"none\\\",this.mouseContainer.style[\\\"pointer-events\\\"]=\\\"none\\\"):(this.pickCanvas.style[\\\"pointer-events\\\"]=\\\"auto\\\",this.mouseContainer.style[\\\"pointer-events\\\"]=\\\"auto\\\"),this.mouseContainer.style.cursor=\\\"pan\\\"===t?\\\"move\\\":\\\"zoom\\\"===t?\\\"crosshair\\\":null},M.emitPointAction=function(t,e){for(var r,n=t.trace.uid,i=t.pointIndex,a=0;a<this.fullData.length;a++)this.fullData[a].uid===n&&(r=this.fullData[a]);var o={x:t.traceCoord[0],y:t.traceCoord[1],curveNumber:r.index,pointNumber:i,data:r._input,fullData:this.fullData,xaxis:this.xaxis,yaxis:this.yaxis};s.appendArrayPointValue(o,r,i),this.graphDiv.emit(e,{points:[o]})},M.draw=function(){if(!this.stopped){requestAnimationFrame(this.redraw);var t=this.glplot,e=this.camera,r=e.mouseListener,n=1===this.lastButtonState&&0===r.buttons,i=this.fullLayout;this.lastButtonState=r.buttons,this.cameraChanged();var a,o=r.x*t.pixelRatio,l=this.canvas.height-t.pixelRatio*r.y;if(e.boxEnabled&&\\\"zoom\\\"===i.dragmode){this.selectBox.enabled=!0;for(var c=this.selectBox.selectBox=[Math.min(e.boxStart[0],e.boxEnd[0]),Math.min(e.boxStart[1],e.boxEnd[1]),Math.max(e.boxStart[0],e.boxEnd[0]),Math.max(e.boxStart[1],e.boxEnd[1])],u=0;u<2;u++)e.boxStart[u]===e.boxEnd[u]&&(c[u]=t.dataBox[u],c[u+2]=t.dataBox[u+2]);t.setDirty()}else if(!e.panning&&this.isMouseOver){this.selectBox.enabled=!1;var f=i._size,h=this.xaxis.domain,p=this.yaxis.domain,d=(a=t.pick(o/t.pixelRatio+f.l+h[0]*f.w,l/t.pixelRatio-(f.t+(1-p[1])*f.h)))&&a.object._trace.handlePick(a);if(d&&n&&this.emitPointAction(d,\\\"plotly_click\\\"),a&&\\\"skip\\\"!==a.object._trace.hoverinfo&&i.hovermode&&d&&(!this.lastPickResult||this.lastPickResult.traceUid!==d.trace.uid||this.lastPickResult.dataCoord[0]!==d.dataCoord[0]||this.lastPickResult.dataCoord[1]!==d.dataCoord[1])){var m=d;this.lastPickResult={traceUid:d.trace?d.trace.uid:null,dataCoord:d.dataCoord.slice()},this.spikes.update({center:a.dataCoord}),m.screenCoord=[((t.viewBox[2]-t.viewBox[0])*(a.dataCoord[0]-t.dataBox[0])/(t.dataBox[2]-t.dataBox[0])+t.viewBox[0])/t.pixelRatio,(this.canvas.height-(t.viewBox[3]-t.viewBox[1])*(a.dataCoord[1]-t.dataBox[1])/(t.dataBox[3]-t.dataBox[1])-t.viewBox[1])/t.pixelRatio],this.emitPointAction(d,\\\"plotly_hover\\\");var g=this.fullData[m.trace.index]||{},v=m.pointIndex,y=s.castHoverinfo(g,i,v);if(y&&\\\"all\\\"!==y){var x=y.split(\\\"+\\\");-1===x.indexOf(\\\"x\\\")&&(m.traceCoord[0]=void 0),-1===x.indexOf(\\\"y\\\")&&(m.traceCoord[1]=void 0),-1===x.indexOf(\\\"z\\\")&&(m.traceCoord[2]=void 0),-1===x.indexOf(\\\"text\\\")&&(m.textLabel=void 0),-1===x.indexOf(\\\"name\\\")&&(m.name=void 0)}s.loneHover({x:m.screenCoord[0],y:m.screenCoord[1],xLabel:this.hoverFormatter(\\\"xaxis\\\",m.traceCoord[0]),yLabel:this.hoverFormatter(\\\"yaxis\\\",m.traceCoord[1]),zLabel:m.traceCoord[2],text:m.textLabel,name:m.name,color:s.castHoverOption(g,v,\\\"bgcolor\\\")||m.color,borderColor:s.castHoverOption(g,v,\\\"bordercolor\\\"),fontFamily:s.castHoverOption(g,v,\\\"font.family\\\"),fontSize:s.castHoverOption(g,v,\\\"font.size\\\"),fontColor:s.castHoverOption(g,v,\\\"font.color\\\"),nameLength:s.castHoverOption(g,v,\\\"namelength\\\"),textAlign:s.castHoverOption(g,v,\\\"align\\\")},{container:this.svgContainer,gd:this.graphDiv})}}a||this.unhover(),t.draw()}},M.unhover=function(){this.lastPickResult&&(this.spikes.update({}),this.lastPickResult=null,this.graphDiv.emit(\\\"plotly_unhover\\\"),s.loneUnhover(this.svgContainer))},M.hoverFormatter=function(t,e){if(void 0!==e){var r=this[t];return o.tickText(r,r.c2l(e),\\\"hover\\\").text}}},{\\\"../../components/dragelement/helpers\\\":676,\\\"../../components/fx\\\":698,\\\"../../lib/show_no_webgl_msg\\\":817,\\\"../../plots/cartesian/axes\\\":845,\\\"../../registry\\\":923,\\\"../cartesian/autorange\\\":844,\\\"../cartesian/constants\\\":851,\\\"../cartesian/constraints\\\":852,\\\"./camera\\\":883,\\\"./convert\\\":884,\\\"gl-plot2d\\\":314,\\\"gl-select-box\\\":329,\\\"gl-spikes2d\\\":338,\\\"webgl-context\\\":621}],887:[function(t,e,r){\\\"use strict\\\";var n=t(\\\"../../plot_api/edit_types\\\").overrideAll,i=t(\\\"../../components/fx/layout_attributes\\\"),a=t(\\\"./scene\\\"),o=t(\\\"../get_data\\\").getSubplotData,s=t(\\\"../../lib\\\"),l=t(\\\"../../constants/xmlns_namespaces\\\");r.name=\\\"gl3d\\\",r.attr=\\\"scene\\\",r.idRoot=\\\"scene\\\",r.idRegex=r.attrRegex=s.counterRegex(\\\"scene\\\"),r.attributes=t(\\\"./layout/attributes\\\"),r.layoutAttributes=t(\\\"./layout/layout_attributes\\\"),r.baseLayoutAttrOverrides=n({hoverlabel:i.hoverlabel},\\\"plot\\\",\\\"nested\\\"),r.supplyLayoutDefaults=t(\\\"./layout/defaults\\\"),r.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=e._subplots.gl3d,i=0;i<n.length;i++){var s=n[i],l=o(r,\\\"gl3d\\\",s),c=e[s],u=c.camera,f=c._scene;f||(f=new a({id:s,graphDiv:t,container:t.querySelector(\\\".gl-container\\\"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio,camera:u},e),c._scene=f),f.viewInitial||(f.viewInitial={up:{x:u.up.x,y:u.up.y,z:u.up.z},eye:{x:u.eye.x,y:u.eye.y,z:u.eye.z},center:{x:u.center.x,y:u.center.y,z:u.center.z}}),f.plot(l,e,t.layout)}},r.clean=function(t,e,r,n){for(var i=n._subplots.gl3d||[],a=0;a<i.length;a++){var o=i[a];!e[o]&&n[o]._scene&&(n[o]._scene.destroy(),n._infolayer&&n._infolayer.selectAll(\\\".annotation-\\\"+o).remove())}},r.toSVG=function(t){for(var e=t._fullLayout,r=e._subplots.gl3d,n=e._size,i=0;i<r.length;i++){var a=e[r[i]],o=a.domain,s=a._scene,c=s.toImage(\\\"png\\\");e._glimages.append(\\\"svg:image\\\").attr({xmlns:l.svg,\\\"xlink:href\\\":c,x:n.l+n.w*o.x[0],y:n.t+n.h*(1-o.y[1]),width:n.w*(o.x[1]-o.x[0]),height:n.h*(o.y[1]-o.y[0]),preserveAspectRatio:\\\"none\\\"}),s.destroy()}},r.cleanId=function(t){if(t.match(/^scene[0-9]*$/)){var e=t.substr(5);return\\\"1\\\"===e&&(e=\\\"\\\"),\\\"scene\\\"+e}},r.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots.gl3d,n=0;n<r.length;n++){e[r[n]]._scene.updateFx(e.dragmode,e.hovermode)}}},{\\\"../../components/fx/layout_attributes\\\":699,\\\"../../constants/xmlns_namespaces\\\":772,\\\"../../lib\\\":795,\\\"../../plot_api/edit_types\\\":827,\\\"../get_data\\\":882,\\\"./layout/attributes\\\":888,\\\"./layout/defaults\\\":892,\\\"./layout/layout_attributes\\\":893,\\\"./scene\\\":897}],888:[function(t,e,r){\\\"use strict\\\";e.exports={scene:{valType:\\\"subplotid\\\",dflt:\\\"scene\\\",editType:\\\"calc+clearAxisTypes\\\"}}},{}],889:[function(t,e,r){\\\"use strict\\\";var n=t(\\\"../../../components/color\\\"),i=t(\\\"../../cartesian/layout_attributes\\\"),a=t(\\\"../../../lib/extend\\\").extendFlat,o=t(\\\"../../../plot_api/edit_types\\\").overrideAll;e.exports=o({visible:i.visible,showspikes:{valType:\\\"boolean\\\",dflt:!0},spikesides:{valType:\\\"boolean\\\",dflt:!0},spikethickness:{valType:\\\"number\\\",min:0,dflt:2},spikecolor:{valType:\\\"color\\\",dflt:n.defaultLine},showbackground:{valType:\\\"boolean\\\",dflt:!1},backgroundcolor:{valType:\\\"color\\\",dflt:\\\"rgba(204, 204, 204, 0.5)\\\"},showaxeslabels:{valType:\\\"boolean\\\",dflt:!0},color:i.color,categoryorder:i.categoryorder,categoryarray:i.categoryarray,title:{text:i.title.text,font:i.title.font},type:a({},i.type,{values:[\\\"-\\\",\\\"linear\\\",\\\"log\\\",\\\"date\\\",\\\"category\\\"]}),autotypenumbers:i.autotypenumbers,autorange:i.autorange,rangemode:i.rangemode,range:a({},i.range,{items:[{valType:\\\"any\\\",editType:\\\"plot\\\",impliedEdits:{\\\"^autorange\\\":!1}},{valType:\\\"any\\\",editType:\\\"plot\\\",impliedEdits:{\\\"^autorange\\\":!1}}],anim:!1}),tickmode:i.tickmode,nticks:i.nticks,tick0:i.tick0,dtick:i.dtick,tickvals:i.tickvals,ticktext:i.ticktext,ticks:i.ticks,mirror:i.mirror,ticklen:i.ticklen,tickwidth:i.tickwidth,tickcolor:i.tickcolor,showticklabels:i.showticklabels,tickfont:i.tickfont,tickangle:i.tickangle,tickprefix:i.tickprefix,showtickprefix:i.showtickprefix,ticksuffix:i.ticksuffix,showticksuffix:i.showticksuffix,showexponent:i.showexponent,exponentformat:i.exponentformat,minexponent:i.minexponent,separatethousands:i.separatethousands,tickformat:i.tickformat,tickformatstops:i.tickformatstops,hoverformat:i.hoverformat,showline:i.showline,linecolor:i.linecolor,linewidth:i.linewidth,showgrid:i.showgrid,gridcolor:a({},i.gridcolor,{dflt:\\\"rgb(204, 204, 204)\\\"}),gridwidth:i.gridwidth,zeroline:i.zeroline,zerolinecolor:i.zerolinecolor,zerolinewidth:i.zerolinewidth,_deprecated:{title:i._deprecated.title,titlefont:i._deprecated.titlefont}},\\\"plot\\\",\\\"from-root\\\")},{\\\"../../../components/color\\\":658,\\\"../../../lib/extend\\\":785,\\\"../../../plot_api/edit_types\\\":827,\\\"../../cartesian/layout_attributes\\\":859}],890:[function(t,e,r){\\\"use strict\\\";var n=t(\\\"tinycolor2\\\").mix,i=t(\\\"../../../lib\\\"),a=t(\\\"../../../plot_api/plot_template\\\"),o=t(\\\"./axis_attributes\\\"),s=t(\\\"../../cartesian/type_defaults\\\"),l=t(\\\"../../cartesian/axis_defaults\\\"),c=[\\\"xaxis\\\",\\\"yaxis\\\",\\\"zaxis\\\"];e.exports=function(t,e,r){var u,f;function h(t,e){return i.coerce(u,f,o,t,e)}for(var p=0;p<c.length;p++){var d=c[p];u=t[d]||{},(f=a.newContainer(e,d))._id=d[0]+r.scene,f._name=d,s(u,f,h,r),l(u,f,h,{font:r.font,letter:d[0],data:r.data,showGrid:!0,noTickson:!0,noTicklabelmode:!0,noTicklabelposition:!0,noTicklabeloverflow:!0,bgColor:r.bgColor,calendar:r.calendar},r.fullLayout),h(\\\"gridcolor\\\",n(f.color,r.bgColor,13600/187).toRgbString()),h(\\\"title.text\\\",d[0]),f.setScale=i.noop,h(\\\"showspikes\\\")&&(h(\\\"spikesides\\\"),h(\\\"spikethickness\\\"),h(\\\"spikecolor\\\",f.color)),h(\\\"showaxeslabels\\\"),h(\\\"showbackground\\\")&&h(\\\"backgroundcolor\\\")}}},{\\\"../../../lib\\\":795,\\\"../../../plot_api/plot_template\\\":834,\\\"../../cartesian/axis_defaults\\\":847,\\\"../../cartesian/type_defaults\\\":870,\\\"./axis_attributes\\\":889,tinycolor2:590}],891:[function(t,e,r){\\\"use strict\\\";var n=t(\\\"../../../lib/str2rgbarray\\\"),i=t(\\\"../../../lib\\\"),a=[\\\"xaxis\\\",\\\"yaxis\\\",\\\"zaxis\\\"];function o(){this.bounds=[[-10,-10,-10],[10,10,10]],this.ticks=[[],[],[]],this.tickEnable=[!0,!0,!0],this.tickFont=[\\\"sans-serif\\\",\\\"sans-serif\\\",\\\"sans-serif\\\"],this.tickSize=[12,12,12],this.tickAngle=[0,0,0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[18,18,18],this.labels=[\\\"x\\\",\\\"y\\\",\\\"z\\\"],this.labelEnable=[!0,!0,!0],this.labelFont=[\\\"Open Sans\\\",\\\"Open Sans\\\",\\\"Open Sans\\\"],this.labelSize=[20,20,20],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[30,30,30],this.lineEnable=[!0,!0,!0],this.lineMirror=[!1,!1,!1],this.lineWidth=[1,1,1],this.lineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.lineTickEnable=[!0,!0,!0],this.lineTickMirror=[!1,!1,!1],this.lineTickLength=[10,10,10],this.lineTickWidth=[1,1,1],this.lineTickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.gridEnable=[!0,!0,!0],this.gridWidth=[1,1,1],this.gridColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroEnable=[!0,!0,!0],this.zeroLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroLineWidth=[2,2,2],this.backgroundEnable=[!0,!0,!0],this.backgroundColor=[[.8,.8,.8,.5],[.8,.8,.8,.5],[.8,.8,.8,.5]],this._defaultTickPad=this.tickPad.slice(),this._defaultLabelPad=this.labelPad.slice(),this._defaultLineTickLength=this.lineTickLength.slice()}o.prototype.merge=function(t,e){for(var r=0;r<3;++r){var o=e[a[r]];o.visible?(this.labels[r]=t._meta?i.templateString(o.title.text,t._meta):o.title.text,\\\"font\\\"in o.title&&(o.title.font.color&&(this.labelColor[r]=n(o.title.font.color)),o.title.font.family&&(this.labelFont[r]=o.title.font.family),o.title.font.size&&(this.labelSize[r]=o.title.font.size)),\\\"showline\\\"in o&&(this.lineEnable[r]=o.showline),\\\"linecolor\\\"in o&&(this.lineColor[r]=n(o.linecolor)),\\\"linewidth\\\"in o&&(this.lineWidth[r]=o.linewidth),\\\"showgrid\\\"in o&&(this.gridEnable[r]=o.showgrid),\\\"gridcolor\\\"in o&&(this.gridColor[r]=n(o.gridcolor)),\\\"gridwidth\\\"in o&&(this.gridWidth[r]=o.gridwidth),\\\"log\\\"===o.type?this.zeroEnable[r]=!1:\\\"zeroline\\\"in o&&(this.zeroEnable[r]=o.zeroline),\\\"zerolinecolor\\\"in o&&(this.zeroLineColor[r]=n(o.zerolinecolor)),\\\"zerolinewidth\\\"in o&&(this.zeroLineWidth[r]=o.zerolinewidth),\\\"ticks\\\"in o&&o.ticks?this.lineTickEnable[r]=!0:this.lineTickEnable[r]=!1,\\\"ticklen\\\"in o&&(this.lineTickLength[r]=this._defaultLineTickLength[r]=o.ticklen),\\\"tickcolor\\\"in o&&(this.lineTickColor[r]=n(o.tickcolor)),\\\"tickwidth\\\"in o&&(this.lineTickWidth[r]=o.tickwidth),\\\"tickangle\\\"in o&&(this.tickAngle[r]=\\\"auto\\\"===o.tickangle?-3600:Math.PI*-o.tickangle/180),\\\"showticklabels\\\"in o&&(this.tickEnable[r]=o.showticklabels),\\\"tickfont\\\"in o&&(o.tickfont.color&&(this.tickColor[r]=n(o.tickfont.color)),o.tickfont.family&&(this.tickFont[r]=o.tickfont.family),o.tickfont.size&&(this.tickSize[r]=o.tickfont.size)),\\\"mirror\\\"in o?-1!==[\\\"ticks\\\",\\\"all\\\",\\\"allticks\\\"].indexOf(o.mirror)?(this.lineTickMirror[r]=!0,this.lineMirror[r]=!0):!0===o.mirror?(this.lineTickMirror[r]=!1,this.lineMirror[r]=!0):(this.lineTickMirror[r]=!1,this.lineMirror[r]=!1):this.lineMirror[r]=!1,\\\"showbackground\\\"in o&&!1!==o.showbackground?(this.backgroundEnable[r]=!0,this.backgroundColor[r]=n(o.backgroundcolor)):this.backgroundEnable[r]=!1):(this.tickEnable[r]=!1,this.labelEnable[r]=!1,this.lineEnable[r]=!1,this.lineTickEnable[r]=!1,this.gridEnable[r]=!1,this.zeroEnable[r]=!1,this.backgroundEnable[r]=!1)}},e.exports=function(t,e){var r=new o;return r.merge(t,e),r}},{\\\"../../../lib\\\":795,\\\"../../../lib/str2rgbarray\\\":819}],892:[function(t,e,r){\\\"use strict\\\";var n=t(\\\"../../../lib\\\"),i=t(\\\"../../../components/color\\\"),a=t(\\\"../../../registry\\\"),o=t(\\\"../../subplot_defaults\\\"),s=t(\\\"./axis_defaults\\\"),l=t(\\\"./layout_attributes\\\"),c=t(\\\"../../get_data\\\").getSubplotData;function u(t,e,r,n){for(var o=r(\\\"bgcolor\\\"),l=i.combine(o,n.paper_bgcolor),u=[\\\"up\\\",\\\"center\\\",\\\"eye\\\"],f=0;f<u.length;f++)r(\\\"camera.\\\"+u[f]+\\\".x\\\"),r(\\\"camera.\\\"+u[f]+\\\".y\\\"),r(\\\"camera.\\\"+u[f]+\\\".z\\\");r(\\\"camera.projection.type\\\");var h=!!r(\\\"aspectratio.x\\\")&&!!r(\\\"aspectratio.y\\\")&&!!r(\\\"aspectratio.z\\\"),p=r(\\\"aspectmode\\\",h?\\\"manual\\\":\\\"auto\\\");h||(t.aspectratio=e.aspectratio={x:1,y:1,z:1},\\\"manual\\\"===p&&(e.aspectmode=\\\"auto\\\"),t.aspectmode=e.aspectmode);var d=c(n.fullData,\\\"gl3d\\\",n.id);s(t,e,{font:n.font,scene:n.id,data:d,bgColor:l,calendar:n.calendar,autotypenumbersDflt:n.autotypenumbersDflt,fullLayout:n.fullLayout}),a.getComponentMethod(\\\"annotations3d\\\",\\\"handleDefaults\\\")(t,e,n);var m=n.getDfltFromLayout(\\\"dragmode\\\");if(!1!==m&&!m)if(m=\\\"orbit\\\",t.camera&&t.camera.up){var g=t.camera.up.x,v=t.camera.up.y,y=t.camera.up.z;0!==y&&(g&&v&&y?y/Math.sqrt(g*g+v*v+y*y)>.999&&(m=\\\"turntable\\\"):m=\\\"turntable\\\")}else m=\\\"turntable\\\";r(\\\"dragmode\\\",m),r(\\\"hovermode\\\",n.getDfltFromLayout(\\\"hovermode\\\"))}e.exports=function(t,e,r){var i=e._basePlotModules.length>1;o(t,e,r,{type:\\\"gl3d\\\",attributes:l,handleDefaults:u,fullLayout:e,font:e.font,fullData:r,getDfltFromLayout:function(e){if(!i)return n.validate(t[e],l[e])?t[e]:void 0},autotypenumbersDflt:e.autotypenumbers,paper_bgcolor:e.paper_bgcolor,calendar:e.calendar})}},{\\\"../../../components/color\\\":658,\\\"../../../lib\\\":795,\\\"../../../registry\\\":923,\\\"../../get_data\\\":882,\\\"../../subplot_defaults\\\":917,\\\"./axis_defaults\\\":890,\\\"./layout_attributes\\\":893}],893:[function(t,e,r){\\\"use strict\\\";var n=t(\\\"./axis_attributes\\\"),i=t(\\\"../../domain\\\").attributes,a=t(\\\"../../../lib/extend\\\").extendFlat,o=t(\\\"../../../lib\\\").counterRegex;function s(t,e,r){return{x:{valType:\\\"number\\\",dflt:t,editType:\\\"camera\\\"},y:{valType:\\\"number\\\",dflt:e,editType:\\\"camera\\\"},z:{valType:\\\"number\\\",dflt:r,editType:\\\"camera\\\"},editType:\\\"camera\\\"}}e.exports={_arrayAttrRegexps:[o(\\\"scene\\\",\\\".annotations\\\",!0)],bgcolor:{valType:\\\"color\\\",dflt:\\\"rgba(0,0,0,0)\\\",editType:\\\"plot\\\"},camera:{up:a(s(0,0,1),{}),center:a(s(0,0,0),{}),eye:a(s(1.25,1.25,1.25),{}),projection:{type:{valType:\\\"enumerated\\\",values:[\\\"perspective\\\",\\\"orthographic\\\"],dflt:\\\"perspective\\\",editType:\\\"calc\\\"},editType:\\\"calc\\\"},editType:\\\"camera\\\"},domain:i({name:\\\"scene\\\",editType:\\\"plot\\\"}),aspectmode:{valType:\\\"enumerated\\\",values:[\\\"auto\\\",\\\"cube\\\",\\\"data\\\",\\\"manual\\\"],dflt:\\\"auto\\\",editType:\\\"plot\\\",impliedEdits:{\\\"aspectratio.x\\\":void 0,\\\"aspectratio.y\\\":void 0,\\\"aspectratio.z\\\":void 0}},aspectratio:{x:{valType:\\\"number\\\",min:0,editType:\\\"plot\\\",impliedEdits:{\\\"^aspectmode\\\":\\\"manual\\\"}},y:{valType:\\\"number\\\",min:0,editType:\\\"plot\\\",impliedEdits:{\\\"^aspectmode\\\":\\\"manual\\\"}},z:{valType:\\\"number\\\",min:0,editType:\\\"plot\\\",impliedEdits:{\\\"^aspectmode\\\":\\\"manual\\\"}},editType:\\\"plot\\\",impliedEdits:{aspectmode:\\\"manual\\\"}},xaxis:n,yaxis:n,zaxis:n,dragmode:{valType:\\\"enumerated\\\",values:[\\\"orbit\\\",\\\"turntable\\\",\\\"zoom\\\",\\\"pan\\\",!1],editType:\\\"plot\\\"},hovermode:{valType:\\\"enumerated\\\",values:[\\\"closest\\\",!1],dflt:\\\"closest\\\",editType:\\\"modebar\\\"},uirevision:{valType:\\\"any\\\",editType:\\\"none\\\"},editType:\\\"plot\\\",_deprecated:{cameraposition:{valType:\\\"info_array\\\",editType:\\\"camera\\\"}}}},{\\\"../../../lib\\\":795,\\\"../../../lib/extend\\\":785,\\\"../../domain\\\":872,\\\"./axis_attributes\\\":889}],894:[function(t,e,r){\\\"use strict\\\";var n=t(\\\"../../../lib/str2rgbarray\\\"),i=[\\\"xaxis\\\",\\\"yaxis\\\",\\\"zaxis\\\"];function a(){this.enabled=[!0,!0,!0],this.colors=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.drawSides=[!0,!0,!0],this.lineWidth=[1,1,1]}a.prototype.merge=function(t){for(var e=0;e<3;++e){var r=t[i[e]];r.visible?(this.enabled[e]=r.showspikes,this.colors[e]=n(r.spikecolor),this.drawSides[e]=r.spikesides,this.lineWidth[e]=r.spikethickness):(this.enabled[e]=!1,this.drawSides[e]=!1)}},e.exports=function(t){var e=new a;return e.merge(t),e}},{\\\"../../../lib/str2rgbarray\\\":819}],895:[function(t,e,r){\\\"use strict\\\";e.exports=function(t){for(var e=t.axesOptions,r=t.glplot.axesPixels,s=t.fullSceneLayout,l=[[],[],[]],c=0;c<3;++c){var u=s[a[c]];if(u._length=(r[c].hi-r[c].lo)*r[c].pixelsPerDataUnit/t.dataScale[c],Math.abs(u._length)===1/0||isNaN(u._length))l[c]=[];else{u._input_range=u.range.slice(),u.range[0]=r[c].lo/t.dataScale[c],u.range[1]=r[c].hi/t.dataScale[c],u._m=1/(t.dataScale[c]*r[c].pixelsPerDataUnit),u.range[0]===u.range[1]&&(u.range[0]-=1,u.range[1]+=1);var f=u.tickmode;if(\\\"auto\\\"===u.tickmode){u.tickmode=\\\"linear\\\";var h=u.nticks||i.constrain(u._length/40,4,9);n.autoTicks(u,Math.abs(u.range[1]-u.range[0])/h)}for(var p=n.calcTicks(u,{msUTC:!0}),d=0;d<p.length;++d)p[d].x=p[d].x*t.dataScale[c],\\\"date\\\"===u.type&&(p[d].text=p[d].text.replace(/\\\\<br\\\\>/g,\\\" \\\"));l[c]=p,u.tickmode=f}}e.ticks=l;for(c=0;c<3;++c){o[c]=.5*(t.glplot.bounds[0][c]+t.glplot.bounds[1][c]);for(d=0;d<2;++d)e.bounds[d][c]=t.glplot.bounds[d][c]}t.contourLevels=function(t){for(var e=new Array(3),r=0;r<3;++r){for(var n=t[r],i=new Array(n.length),a=0;a<n.length;++a)i[a]=n[a].x;e[r]=i}return e}(l)};var n=t(\\\"../../cartesian/axes\\\"),i=t(\\\"../../../lib\\\"),a=[\\\"xaxis\\\",\\\"yaxis\\\",\\\"zaxis\\\"],o=[0,0,0]},{\\\"../../../lib\\\":795,\\\"../../cartesian/axes\\\":845}],896:[function(t,e,r){\\\"use strict\\\";function n(t,e){var r,n,i=[0,0,0,0];for(r=0;r<4;++r)for(n=0;n<4;++n)i[n]+=t[4*r+n]*e[r];return i}e.exports=function(t,e){return n(t.projection,n(t.view,n(t.model,[e[0],e[1],e[2],1])))}},{}],897:[function(t,e,r){\\\"use strict\\\";var n,i,a=t(\\\"gl-plot3d\\\"),o=a.createCamera,s=a.createScene,l=t(\\\"webgl-context\\\"),c=t(\\\"has-passive-events\\\"),u=t(\\\"../../registry\\\"),f=t(\\\"../../lib\\\"),h=f.preserveDrawingBuffer(),p=t(\\\"../../plots/cartesian/axes\\\"),d=t(\\\"../../components/fx\\\"),m=t(\\\"../../lib/str2rgbarray\\\"),g=t(\\\"../../lib/show_no_webgl_msg\\\"),v=t(\\\"./project\\\"),y=t(\\\"./layout/convert\\\"),x=t(\\\"./layout/spikes\\\"),b=t(\\\"./layout/tick_marks\\\");function _(t,e){var r=document.createElement(\\\"div\\\"),n=t.container;this.graphDiv=t.graphDiv;var i=document.createElementNS(\\\"http://www.w3.org/2000/svg\\\",\\\"svg\\\");i.style.position=\\\"absolute\\\",i.style.top=i.style.left=\\\"0px\\\",i.style.width=i.style.height=\\\"100%\\\",i.style[\\\"z-index\\\"]=20,i.style[\\\"pointer-events\\\"]=\\\"none\\\",r.appendChild(i),this.svgContainer=i,r.id=t.id,r.style.position=\\\"absolute\\\",r.style.top=r.style.left=\\\"0px\\\",r.style.width=r.style.height=\\\"100%\\\",n.appendChild(r),this.fullLayout=e,this.id=t.id||\\\"scene\\\",this.fullSceneLayout=e[this.id],this.plotArgs=[[],{},{}],this.axesOptions=y(e,e[this.id]),this.spikeOptions=x(e[this.id]),this.container=r,this.staticMode=!!t.staticPlot,this.pixelRatio=this.pixelRatio||t.plotGlPixelRatio||2,this.dataScale=[1,1,1],this.contourLevels=[[],[],[]],this.convertAnnotations=u.getComponentMethod(\\\"annotations3d\\\",\\\"convert\\\"),this.drawAnnotations=u.getComponentMethod(\\\"annotations3d\\\",\\\"draw\\\"),this.initializeGLPlot()}var w=_.prototype;w.prepareOptions=function(){var t={canvas:this.canvas,gl:this.gl,glOptions:{preserveDrawingBuffer:h,premultipliedAlpha:!0,antialias:!0},container:this.container,axes:this.axesOptions,spikes:this.spikeOptions,pickRadius:10,snapToData:!0,autoScale:!0,autoBounds:!1,cameraObject:this.camera,pixelRatio:this.pixelRatio};if(this.staticMode){if(!(i||(n=document.createElement(\\\"canvas\\\"),i=l({canvas:n,preserveDrawingBuffer:!0,premultipliedAlpha:!0,antialias:!0}))))throw new Error(\\\"error creating static canvas/context for image server\\\");t.gl=i,t.canvas=n}return t};var T=!0;w.tryCreatePlot=function(){var t=this.prepareOptions(),e=!0;try{this.glplot=s(t)}catch(r){if(this.staticMode||!T||h)e=!1;else{f.warn([\\\"webgl setup failed possibly due to\\\",\\\"false preserveDrawingBuffer config.\\\",\\\"The mobile/tablet device may not be detected by is-mobile module.\\\",\\\"Enabling preserveDrawingBuffer in second attempt to create webgl scene...\\\"].join(\\\" \\\"));try{h=t.glOptions.preserveDrawingBuffer=!0,this.glplot=s(t)}catch(r){h=t.glOptions.preserveDrawingBuffer=!1,e=!1}}}return T=!1,e},w.initializeGLCamera=function(){var t=this.fullSceneLayout.camera,e=\\\"orthographic\\\"===t.projection.type;this.camera=o(this.container,{center:[t.center.x,t.center.y,t.center.z],eye:[t.eye.x,t.eye.y,t.eye.z],up:[t.up.x,t.up.y,t.up.z],_ortho:e,zoomMin:.01,zoomMax:100,mode:\\\"orbit\\\"})},w.initializeGLPlot=function(){var t=this;if(t.initializeGLCamera(),!t.tryCreatePlot())return g(t);t.traces={},t.make4thDimension();var e=t.graphDiv,r=e.layout,n=function(){var e={};return t.isCameraChanged(r)&&(e[t.id+\\\".camera\\\"]=t.getCamera()),t.isAspectChanged(r)&&(e[t.id+\\\".aspectratio\\\"]=t.glplot.getAspectratio(),\\\"manual\\\"!==r[t.id].aspectmode&&(t.fullSceneLayout.aspectmode=r[t.id].aspectmode=e[t.id+\\\".aspectmode\\\"]=\\\"manual\\\")),e},i=function(t){if(!1!==t.fullSceneLayout.dragmode){var e=n();t.saveLayout(r),t.graphDiv.emit(\\\"plotly_relayout\\\",e)}};return t.glplot.canvas&&(t.glplot.canvas.addEventListener(\\\"mouseup\\\",(function(){i(t)})),t.glplot.canvas.addEventListener(\\\"wheel\\\",(function(r){if(e._context._scrollZoom.gl3d){if(t.camera._ortho){var n=r.deltaX>r.deltaY?1.1:1/1.1,a=t.glplot.getAspectratio();t.glplot.setAspectratio({x:n*a.x,y:n*a.y,z:n*a.z})}i(t)}}),!!c&&{passive:!1}),t.glplot.canvas.addEventListener(\\\"mousemove\\\",(function(){if(!1!==t.fullSceneLayout.dragmode&&0!==t.camera.mouseListener.buttons){var e=n();t.graphDiv.emit(\\\"plotly_relayouting\\\",e)}})),t.staticMode||t.glplot.canvas.addEventListener(\\\"webglcontextlost\\\",(function(r){e&&e.emit&&e.emit(\\\"plotly_webglcontextlost\\\",{event:r,layer:t.id})}),!1)),t.glplot.oncontextloss=function(){t.recoverContext()},t.glplot.onrender=function(){t.render()},!0},w.render=function(){var t,e=this,r=e.graphDiv,n=e.svgContainer,i=e.container.getBoundingClientRect();r._fullLayout._calcInverseTransform(r);var a=r._fullLayout._invScaleX,o=r._fullLayout._invScaleY,s=i.width*a,l=i.height*o;n.setAttributeNS(null,\\\"viewBox\\\",\\\"0 0 \\\"+s+\\\" \\\"+l),n.setAttributeNS(null,\\\"width\\\",s),n.setAttributeNS(null,\\\"height\\\",l),b(e),e.glplot.axes.update(e.axesOptions);for(var c,u=Object.keys(e.traces),h=null,m=e.glplot.selection,g=0;g<u.length;++g)\\\"skip\\\"!==(t=e.traces[u[g]]).data.hoverinfo&&t.handlePick(m)&&(h=t),t.setContourLevels&&t.setContourLevels();function y(t,r,n){var i=e.fullSceneLayout[t+\\\"axis\\\"];return\\\"log\\\"!==i.type&&(r=i.d2l(r)),p.hoverLabelText(i,r,n)}if(null!==h){var x=v(e.glplot.cameraParams,m.dataCoordinate);t=h.data;var _,w=r._fullData[t.index],T=m.index,k={xLabel:y(\\\"x\\\",m.traceCoordinate[0],t.xhoverformat),yLabel:y(\\\"y\\\",m.traceCoordinate[1],t.yhoverformat),zLabel:y(\\\"z\\\",m.traceCoordinate[2],t.zhoverformat)},M=d.castHoverinfo(w,e.fullLayout,T),A=(M||\\\"\\\").split(\\\"+\\\"),S=M&&\\\"all\\\"===M;w.hovertemplate||S||(-1===A.indexOf(\\\"x\\\")&&(k.xLabel=void 0),-1===A.indexOf(\\\"y\\\")&&(k.yLabel=void 0),-1===A.indexOf(\\\"z\\\")&&(k.zLabel=void 0),-1===A.indexOf(\\\"text\\\")&&(m.textLabel=void 0),-1===A.indexOf(\\\"name\\\")&&(h.name=void 0));var E=[];\\\"cone\\\"===t.type||\\\"streamtube\\\"===t.type?(k.uLabel=y(\\\"x\\\",m.traceCoordinate[3],t.uhoverformat),(S||-1!==A.indexOf(\\\"u\\\"))&&E.push(\\\"u: \\\"+k.uLabel),k.vLabel=y(\\\"y\\\",m.traceCoordinate[4],t.vhoverformat),(S||-1!==A.indexOf(\\\"v\\\"))&&E.push(\\\"v: \\\"+k.vLabel),k.wLabel=y(\\\"z\\\",m.traceCoordinate[5],t.whoverformat),(S||-1!==A.indexOf(\\\"w\\\"))&&E.push(\\\"w: \\\"+k.wLabel),k.normLabel=m.traceCoordinate[6].toPrecision(3),(S||-1!==A.indexOf(\\\"norm\\\"))&&E.push(\\\"norm: \\\"+k.normLabel),\\\"streamtube\\\"===t.type&&(k.divergenceLabel=m.traceCoordinate[7].toPrecision(3),(S||-1!==A.indexOf(\\\"divergence\\\"))&&E.push(\\\"divergence: \\\"+k.divergenceLabel)),m.textLabel&&E.push(m.textLabel),_=E.join(\\\"<br>\\\")):\\\"isosurface\\\"===t.type||\\\"volume\\\"===t.type?(k.valueLabel=p.hoverLabelText(e._mockAxis,e._mockAxis.d2l(m.traceCoordinate[3]),t.valuehoverformat),E.push(\\\"value: \\\"+k.valueLabel),m.textLabel&&E.push(m.textLabel),_=E.join(\\\"<br>\\\")):_=m.textLabel;var L={x:m.traceCoordinate[0],y:m.traceCoordinate[1],z:m.traceCoordinate[2],data:w._input,fullData:w,curveNumber:w.index,pointNumber:T};d.appendArrayPointValue(L,w,T),t._module.eventData&&(L=w._module.eventData(L,m,w,{},T));var C={points:[L]};e.fullSceneLayout.hovermode&&d.loneHover({trace:w,x:(.5+.5*x[0]/x[3])*s,y:(.5-.5*x[1]/x[3])*l,xLabel:k.xLabel,yLabel:k.yLabel,zLabel:k.zLabel,text:_,name:h.name,color:d.castHoverOption(w,T,\\\"bgcolor\\\")||h.color,borderColor:d.castHoverOption(w,T,\\\"bordercolor\\\"),fontFamily:d.castHoverOption(w,T,\\\"font.family\\\"),fontSize:d.castHoverOption(w,T,\\\"font.size\\\"),fontColor:d.castHoverOption(w,T,\\\"font.color\\\"),nameLength:d.castHoverOption(w,T,\\\"namelength\\\"),textAlign:d.castHoverOption(w,T,\\\"align\\\"),hovertemplate:f.castOption(w,T,\\\"hovertemplate\\\"),hovertemplateLabels:f.extendFlat({},L,k),eventData:[L]},{container:n,gd:r}),m.buttons&&m.distance<5?r.emit(\\\"plotly_click\\\",C):r.emit(\\\"plotly_hover\\\",C),c=C}else d.loneUnhover(n),r.emit(\\\"plotly_unhover\\\",c);e.drawAnnotations(e)},w.recoverContext=function(){var t=this;t.glplot.dispose();var e=function(){t.glplot.gl.isContextLost()?requestAnimationFrame(e):t.initializeGLPlot()?t.plot.apply(t,t.plotArgs):f.error(\\\"Catastrophic and unrecoverable WebGL error. Context lost.\\\")};requestAnimationFrame(e)};var k=[\\\"xaxis\\\",\\\"yaxis\\\",\\\"zaxis\\\"];function M(t,e,r){for(var n=t.fullSceneLayout,i=0;i<3;i++){var a=k[i],o=a.charAt(0),s=n[a],l=e[o],c=e[o+\\\"calendar\\\"],u=e[\\\"_\\\"+o+\\\"length\\\"];if(f.isArrayOrTypedArray(l))for(var h,p=0;p<(u||l.length);p++)if(f.isArrayOrTypedArray(l[p]))for(var d=0;d<l[p].length;++d)h=s.d2l(l[p][d],0,c),!isNaN(h)&&isFinite(h)&&(r[0][i]=Math.min(r[0][i],h),r[1][i]=Math.max(r[1][i],h));else h=s.d2l(l[p],0,c),!isNaN(h)&&isFinite(h)&&(r[0][i]=Math.min(r[0][i],h),r[1][i]=Math.max(r[1][i],h));else r[0][i]=Math.min(r[0][i],0),r[1][i]=Math.max(r[1][i],u-1)}}w.plot=function(t,e,r){if(this.plotArgs=[t,e,r],!this.glplot.contextLost){var n,i,a,o,s,l,c=e[this.id],u=r[this.id];this.fullLayout=e,this.fullSceneLayout=c,this.axesOptions.merge(e,c),this.spikeOptions.merge(c),this.setViewport(c),this.updateFx(c.dragmode,c.hovermode),this.camera.enableWheel=this.graphDiv._context._scrollZoom.gl3d,this.glplot.setClearColor(m(c.bgcolor)),this.setConvert(s),t?Array.isArray(t)||(t=[t]):t=[];var f=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(a=0;a<t.length;++a)!0===(n=t[a]).visible&&0!==n._length&&M(this,n,f);!function(t,e){for(var r=t.fullSceneLayout,n=r.annotations||[],i=0;i<3;i++)for(var a=k[i],o=a.charAt(0),s=r[a],l=0;l<n.length;l++){var c=n[l];if(c.visible){var u=s.r2l(c[o]);!isNaN(u)&&isFinite(u)&&(e[0][i]=Math.min(e[0][i],u),e[1][i]=Math.max(e[1][i],u))}}}(this,f);var 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types\\\",editType:\\\"calc\\\"},separators:{valType:\\\"string\\\",editType:\\\"plot\\\"},hidesources:{valType:\\\"boolean\\\",dflt:!1,editType:\\\"plot\\\"},showlegend:{valType:\\\"boolean\\\",editType:\\\"legend\\\"},colorway:{valType:\\\"colorlist\\\",dflt:a.defaults,editType:\\\"calc\\\"},datarevision:{valType:\\\"any\\\",editType:\\\"calc\\\"},uirevision:{valType:\\\"any\\\",editType:\\\"none\\\"},editrevision:{valType:\\\"any\\\",editType:\\\"none\\\"},selectionrevision:{valType:\\\"any\\\",editType:\\\"none\\\"},template:{valType:\\\"any\\\",editType:\\\"calc\\\"},newshape:o.newshape,activeshape:o.activeshape,meta:{valType:\\\"any\\\",arrayOk:!0,editType:\\\"plot\\\"},transition:l({},i.transition,{editType:\\\"none\\\"}),_deprecated:{title:{valType:\\\"string\\\",editType:\\\"layoutstyle\\\"},titlefont:n({editType:\\\"layoutstyle\\\"})}}},{\\\"../components/color/attributes\\\":657,\\\"../components/shapes/draw_newshape/attributes\\\":743,\\\"../lib/extend\\\":785,\\\"./animation_attributes\\\":839,\\\"./font_attributes\\\":873,\\\"./pad_attributes\\\":908}],901:[function(t,e,r){\\\"use 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\\\"),o={\\\"open-street-map\\\":{id:\\\"osm\\\",version:8,sources:{\\\"plotly-osm-tiles\\\":{type:\\\"raster\\\",attribution:n,tiles:[\\\"https://a.tile.openstreetmap.org/{z}/{x}/{y}.png\\\",\\\"https://b.tile.openstreetmap.org/{z}/{x}/{y}.png\\\"],tileSize:256}},layers:[{id:\\\"plotly-osm-tiles\\\",type:\\\"raster\\\",source:\\\"plotly-osm-tiles\\\",minzoom:0,maxzoom:22}]},\\\"white-bg\\\":{id:\\\"white-bg\\\",version:8,sources:{},layers:[{id:\\\"white-bg\\\",type:\\\"background\\\",paint:{\\\"background-color\\\":\\\"#FFFFFF\\\"},minzoom:0,maxzoom:22}]},\\\"carto-positron\\\":{id:\\\"carto-positron\\\",version:8,sources:{\\\"plotly-carto-positron\\\":{type:\\\"raster\\\",attribution:i,tiles:[\\\"https://cartodb-basemaps-c.global.ssl.fastly.net/light_all/{z}/{x}/{y}.png\\\"],tileSize:256}},layers:[{id:\\\"plotly-carto-positron\\\",type:\\\"raster\\\",source:\\\"plotly-carto-positron\\\",minzoom:0,maxzoom:22}]},\\\"carto-darkmatter\\\":{id:\\\"carto-darkmatter\\\",version:8,sources:{\\\"plotly-carto-darkmatter\\\":{type:\\\"raster\\\",attribution:i,tiles:[\\\"https://cartodb-basemaps-c.global.ssl.fastly.net/dark_all/{z}/{x}/{y}.png\\\"],tileSize:256}},layers:[{id:\\\"plotly-carto-darkmatter\\\",type:\\\"raster\\\",source:\\\"plotly-carto-darkmatter\\\",minzoom:0,maxzoom:22}]},\\\"stamen-terrain\\\":{id:\\\"stamen-terrain\\\",version:8,sources:{\\\"plotly-stamen-terrain\\\":{type:\\\"raster\\\",attribution:a,tiles:[\\\"https://stamen-tiles.a.ssl.fastly.net/terrain/{z}/{x}/{y}.png\\\"],tileSize:256}},layers:[{id:\\\"plotly-stamen-terrain\\\",type:\\\"raster\\\",source:\\\"plotly-stamen-terrain\\\",minzoom:0,maxzoom:22}]},\\\"stamen-toner\\\":{id:\\\"stamen-toner\\\",version:8,sources:{\\\"plotly-stamen-toner\\\":{type:\\\"raster\\\",attribution:a,tiles:[\\\"https://stamen-tiles.a.ssl.fastly.net/toner/{z}/{x}/{y}.png\\\"],tileSize:256}},layers:[{id:\\\"plotly-stamen-toner\\\",type:\\\"raster\\\",source:\\\"plotly-stamen-toner\\\",minzoom:0,maxzoom:22}]},\\\"stamen-watercolor\\\":{id:\\\"stamen-watercolor\\\",version:8,sources:{\\\"plotly-stamen-watercolor\\\":{type:\\\"raster\\\",attribution:['Map 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e,r,s=this,c=s.gd,u=s.layers,f=t._zoomlayer,h=S.MINZOOM,p=S.OFFEDGE,d=s.radius,m=s.innerRadius,x=s.cx,T=s.cy,k=s.cxx,M=s.cyy,A=s.sectorInRad,L=s.vangles,C=s.radialAxis,P=E.clampTiny,I=E.findXYatLength,O=E.findEnclosingVertexAngles,z=S.cornerHalfWidth,D=S.cornerLen/2,R=g.makeDragger(u,\\\"path\\\",\\\"maindrag\\\",\\\"crosshair\\\");n.select(R).attr(\\\"d\\\",s.pathSubplot()).attr(\\\"transform\\\",l(x,T));var F,B,N,j,U,V,q,H,G,Y={element:R,gd:c,subplot:s.id,plotinfo:{id:s.id,xaxis:s.xaxis,yaxis:s.yaxis},xaxes:[s.xaxis],yaxes:[s.yaxis]};function W(t,e){return Math.sqrt(t*t+e*e)}function X(t,e){return W(t-k,e-M)}function Z(t,e){return Math.atan2(M-e,t-k)}function J(t,e){return[t*Math.cos(e),t*Math.sin(-e)]}function K(t,e){if(0===t)return s.pathSector(2*z);var r=D/t,n=e-r,i=e+r,a=Math.max(0,Math.min(t,d)),o=a-z,l=a+z;return\\\"M\\\"+J(o,n)+\\\"A\\\"+[o,o]+\\\" 0,0,0 \\\"+J(o,i)+\\\"L\\\"+J(l,i)+\\\"A\\\"+[l,l]+\\\" 0,0,1 \\\"+J(l,n)+\\\"Z\\\"}function Q(t,e,r){if(0===t)return 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i,a=t.cd[0].trace.hoveron,o=[];return-1!==a.indexOf(\\\"boxes\\\")&&(o=o.concat(l(t,e,r,n))),-1!==a.indexOf(\\\"points\\\")&&(i=c(t,e,r)),\\\"closest\\\"===n?i?[i]:o:i?(o.push(i),o):o},hoverOnBoxes:l,hoverOnPoints:c}},{\\\"../../components/color\\\":658,\\\"../../components/fx\\\":698,\\\"../../lib\\\":795,\\\"../../plots/cartesian/axes\\\":845}],964:[function(t,e,r){\\\"use 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c=\\\"\\\",u=0;u<o.length;u++)c+=\\\"M\\\"+o[u].join(\\\"L\\\")+\\\"Z\\\";i.ensureSingle(a,\\\"path\\\",\\\"\\\").attr(\\\"d\\\",c)}}},{\\\"../../components/colorscale\\\":670,\\\"../../components/drawing\\\":680,\\\"../../lib\\\":795,\\\"../../lib/svg_text_utils\\\":820,\\\"../../plots/cartesian/axes\\\":845,\\\"../../plots/cartesian/set_convert\\\":865,\\\"../heatmap/plot\\\":1088,\\\"./close_boundaries\\\":1022,\\\"./constants\\\":1024,\\\"./convert_to_constraints\\\":1028,\\\"./empty_pathinfo\\\":1030,\\\"./find_all_paths\\\":1032,\\\"./make_crossings\\\":1037,\\\"@plotly/d3\\\":58}],1039:[function(t,e,r){\\\"use strict\\\";var n=t(\\\"../../plots/cartesian/axes\\\"),i=t(\\\"../../lib\\\");function a(t,e,r){var i={type:\\\"linear\\\",range:[t,e]};return n.autoTicks(i,(e-t)/(r||15)),i}e.exports=function(t,e){var r=t.contours;if(t.autocontour){var o=t.zmin,s=t.zmax;(t.zauto||void 0===o)&&(o=i.aggNums(Math.min,null,e)),(t.zauto||void 0===s)&&(s=i.aggNums(Math.max,null,e));var 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n=t(\\\"../../components/colorscale/defaults\\\"),i=t(\\\"./label_defaults\\\");e.exports=function(t,e,r,a,o){var s,l=r(\\\"contours.coloring\\\"),c=\\\"\\\";\\\"fill\\\"===l&&(s=r(\\\"contours.showlines\\\")),!1!==s&&(\\\"lines\\\"!==l&&(c=r(\\\"line.color\\\",\\\"#000\\\")),r(\\\"line.width\\\",.5),r(\\\"line.dash\\\")),\\\"none\\\"!==l&&(!0!==t.showlegend&&(e.showlegend=!1),e._dfltShowLegend=!1,n(t,e,a,r,{prefix:\\\"\\\",cLetter:\\\"z\\\"})),r(\\\"line.smoothing\\\"),i(r,a,c,o)}},{\\\"../../components/colorscale/defaults\\\":668,\\\"./label_defaults\\\":1035}],1042:[function(t,e,r){\\\"use strict\\\";var 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n=t(\\\"@plotly/d3\\\"),i=t(\\\"../carpet/map_1d_array\\\"),a=t(\\\"../carpet/makepath\\\"),o=t(\\\"../../components/drawing\\\"),s=t(\\\"../../lib\\\"),l=t(\\\"../contour/make_crossings\\\"),c=t(\\\"../contour/find_all_paths\\\"),u=t(\\\"../contour/plot\\\"),f=t(\\\"../contour/constants\\\"),h=t(\\\"../contour/convert_to_constraints\\\"),p=t(\\\"../contour/empty_pathinfo\\\"),d=t(\\\"../contour/close_boundaries\\\"),m=t(\\\"../carpet/lookup_carpetid\\\"),g=t(\\\"../carpet/axis_aligned_line\\\");function v(t,e,r){var n=t.getPointAtLength(e),i=t.getPointAtLength(r),a=i.x-n.x,o=i.y-n.y,s=Math.sqrt(a*a+o*o);return[a/s,o/s]}function y(t){var e=Math.sqrt(t[0]*t[0]+t[1]*t[1]);return[t[0]/e,t[1]/e]}function x(t,e){var r=Math.abs(t[0]*e[0]+t[1]*e[1]);return Math.sqrt(1-r*r)/r}e.exports=function(t,e,r,b){var _=e.xaxis,w=e.yaxis;s.makeTraceGroups(b,r,\\\"contour\\\").each((function(r){var 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i.extendFlat(c.heatmap.paint,{\\\"heatmap-weight\\\":d?k:1/(b.max-b.min),\\\"heatmap-color\\\":T,\\\"heatmap-radius\\\":m?{type:\\\"identity\\\",property:\\\"r\\\"}:e.radius,\\\"heatmap-opacity\\\":e.opacity}),c.geojson={type:\\\"FeatureCollection\\\",features:f},c.heatmap.layout.visibility=\\\"visible\\\",c}},{\\\"../../components/color\\\":658,\\\"../../components/colorscale\\\":670,\\\"../../constants/numerical\\\":771,\\\"../../lib\\\":795,\\\"../../lib/geojson_utils\\\":789,\\\"fast-isnumeric\\\":241}],1050:[function(t,e,r){\\\"use strict\\\";var n=t(\\\"../../lib\\\"),i=t(\\\"../../components/colorscale/defaults\\\"),a=t(\\\"./attributes\\\");e.exports=function(t,e,r,o){function s(r,i){return n.coerce(t,e,a,r,i)}var 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n=t(\\\"@plotly/d3\\\"),i=t(\\\"../../lib\\\"),a=t(\\\"../../components/drawing\\\"),o=t(\\\"../../lib/svg_text_utils\\\"),s=t(\\\"./partition\\\"),l=t(\\\"./style\\\").styleOne,c=t(\\\"../treemap/constants\\\"),u=t(\\\"../sunburst/helpers\\\"),f=t(\\\"../sunburst/fx\\\"),h=t(\\\"../sunburst/plot\\\").formatSliceLabel;e.exports=function(t,e,r,p,d){var m=d.width,g=d.height,v=d.viewX,y=d.viewY,x=d.pathSlice,b=d.toMoveInsideSlice,_=d.strTransform,w=d.hasTransition,T=d.handleSlicesExit,k=d.makeUpdateSliceInterpolator,M=d.makeUpdateTextInterpolator,A=d.prevEntry,S=t._fullLayout,E=e[0].trace,L=-1!==E.textposition.indexOf(\\\"left\\\"),C=-1!==E.textposition.indexOf(\\\"right\\\"),P=-1!==E.textposition.indexOf(\\\"bottom\\\"),I=s(r,[m,g],{flipX:E.tiling.flip.indexOf(\\\"x\\\")>-1,flipY:E.tiling.flip.indexOf(\\\"y\\\")>-1,orientation:E.tiling.orientation,pad:{inner:E.tiling.pad},maxDepth:E._maxDepth}).descendants(),O=1/0,z=-1/0;I.forEach((function(t){var 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n(t,e,r,a,{type:\\\"icicle\\\",drawDescendants:i})}},{\\\"../treemap/draw\\\":1353,\\\"./draw_descendants\\\":1122}],1128:[function(t,e,r){\\\"use strict\\\";var n=t(\\\"@plotly/d3\\\"),i=t(\\\"../../components/color\\\"),a=t(\\\"../../lib\\\"),o=t(\\\"../bar/uniform_text\\\").resizeText;function s(t,e,r){var n=e.data.data,o=!e.children,s=n.i,l=a.castOption(r,s,\\\"marker.line.color\\\")||i.defaultLine,c=a.castOption(r,s,\\\"marker.line.width\\\")||0;t.style(\\\"stroke-width\\\",c).call(i.fill,n.color).call(i.stroke,l).style(\\\"opacity\\\",o?r.leaf.opacity:null)}e.exports={style:function(t){var e=t._fullLayout._iciclelayer.selectAll(\\\".trace\\\");o(t,e,\\\"icicle\\\"),e.each((function(t){var e=n.select(this),r=t[0].trace;e.style(\\\"opacity\\\",r.opacity),e.selectAll(\\\"path.surface\\\").each((function(t){n.select(this).call(s,t,r)}))}))},styleOne:s}},{\\\"../../components/color\\\":658,\\\"../../lib\\\":795,\\\"../bar/uniform_text\\\":949,\\\"@plotly/d3\\\":58}],1129:[function(t,e,r){\\\"use strict\\\";for(var n=t(\\\"../../plots/attributes\\\"),i=t(\\\"../../plots/template_attributes\\\").hovertemplateAttrs,a=t(\\\"../../lib/extend\\\").extendFlat,o=t(\\\"./constants\\\").colormodel,s=[\\\"rgb\\\",\\\"rgba\\\",\\\"rgba256\\\",\\\"hsl\\\",\\\"hsla\\\"],l=[],c=[],u=0;u<s.length;u++){var f=o[s[u]];l.push(\\\"For the `\\\"+s[u]+\\\"` colormodel, it is [\\\"+(f.zminDflt||f.min).join(\\\", \\\")+\\\"].\\\"),c.push(\\\"For the `\\\"+s[u]+\\\"` colormodel, it is [\\\"+(f.zmaxDflt||f.max).join(\\\", 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\\\")+\\\"]\\\";return[i.extendFlat(t,{index:[h,f],x0:l.c2p(o.x0+f*s.dx),x1:l.c2p(o.x0+(f+1)*s.dx),y0:T,y1:T,color:b,xVal:k,xLabelVal:k,yVal:M,yLabelVal:M,zLabelVal:A,text:g,hovertemplateLabels:{zLabel:A,colorLabel:w,\\\"color[0]Label\\\":b[0]+_[0],\\\"color[1]Label\\\":b[1]+_[1],\\\"color[2]Label\\\":b[2]+_[2],\\\"color[3]Label\\\":b[3]+_[3]}})]}}}},{\\\"../../components/fx\\\":698,\\\"../../lib\\\":795,\\\"./constants\\\":1131}],1136:[function(t,e,r){\\\"use 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n=t(\\\"../../lib/extend\\\").extendFlat,i=t(\\\"../../lib/extend\\\").extendDeep,a=t(\\\"../../plot_api/edit_types\\\").overrideAll,o=t(\\\"../../plots/font_attributes\\\"),s=t(\\\"../../components/color/attributes\\\"),l=t(\\\"../../plots/domain\\\").attributes,c=t(\\\"../../plots/cartesian/layout_attributes\\\"),u=t(\\\"../../plot_api/plot_template\\\").templatedArray,f=t(\\\"../../constants/delta.js\\\"),h=(t(\\\"../../constants/docs\\\").FORMAT_LINK,o({editType:\\\"plot\\\",colorEditType:\\\"plot\\\"})),p={color:{valType:\\\"color\\\",editType:\\\"plot\\\"},line:{color:{valType:\\\"color\\\",dflt:s.defaultLine,editType:\\\"plot\\\"},width:{valType:\\\"number\\\",min:0,dflt:0,editType:\\\"plot\\\"},editType:\\\"calc\\\"},thickness:{valType:\\\"number\\\",min:0,max:1,dflt:1,editType:\\\"plot\\\"},editType:\\\"calc\\\"},d={valType:\\\"info_array\\\",items:[{valType:\\\"number\\\",editType:\\\"plot\\\"},{valType:\\\"number\\\",editType:\\\"plot\\\"}],editType:\\\"plot\\\"},m=u(\\\"step\\\",i({},p,{range:d}));e.exports={mode:{valType:\\\"flaglist\\\",editType:\\\"calc\\\",flags:[\\\"number\\\",\\\"delta\\\",\\\"gauge\\\"],dflt:\\\"number\\\"},value:{valType:\\\"number\\\",editType:\\\"calc\\\",anim:!0},align:{valType:\\\"enumerated\\\",values:[\\\"left\\\",\\\"center\\\",\\\"right\\\"],editType:\\\"plot\\\"},domain:l({name:\\\"indicator\\\",trace:!0,editType:\\\"calc\\\"}),title:{text:{valType:\\\"string\\\",editType:\\\"plot\\\"},align:{valType:\\\"enumerated\\\",values:[\\\"left\\\",\\\"center\\\",\\\"right\\\"],editType:\\\"plot\\\"},font:n({},h,{}),editType:\\\"plot\\\"},number:{valueformat:{valType:\\\"string\\\",dflt:\\\"\\\",editType:\\\"plot\\\"},font:n({},h,{}),prefix:{valType:\\\"string\\\",dflt:\\\"\\\",editType:\\\"plot\\\"},suffix:{valType:\\\"string\\\",dflt:\\\"\\\",editType:\\\"plot\\\"},editType:\\\"plot\\\"},delta:{reference:{valType:\\\"number\\\",editType:\\\"calc\\\"},position:{valType:\\\"enumerated\\\",values:[\\\"top\\\",\\\"bottom\\\",\\\"left\\\",\\\"right\\\"],dflt:\\\"bottom\\\",editType:\\\"plot\\\"},relative:{valType:\\\"boolean\\\",editType:\\\"plot\\\",dflt:!1},valueformat:{valType:\\\"string\\\",editType:\\\"plot\\\"},increasing:{symbol:{valType:\\\"string\\\",dflt:f.INCREASING.SYMBOL,editType:\\\"plot\\\"},color:{valType:\\\"color\\\",dflt:f.INCREASING.COLOR,editType:\\\"plot\\\"},editType:\\\"plot\\\"},decreasing:{symbol:{valType:\\\"string\\\",dflt:f.DECREASING.SYMBOL,editType:\\\"plot\\\"},color:{valType:\\\"color\\\",dflt:f.DECREASING.COLOR,editType:\\\"plot\\\"},editType:\\\"plot\\\"},font:n({},h,{}),editType:\\\"calc\\\"},gauge:{shape:{valType:\\\"enumerated\\\",editType:\\\"plot\\\",dflt:\\\"angular\\\",values:[\\\"angular\\\",\\\"bullet\\\"]},bar:i({},p,{color:{dflt:\\\"green\\\"}}),bgcolor:{valType:\\\"color\\\",editType:\\\"plot\\\"},bordercolor:{valType:\\\"color\\\",dflt:s.defaultLine,editType:\\\"plot\\\"},borderwidth:{valType:\\\"number\\\",min:0,dflt:1,editType:\\\"plot\\\"},axis:a({range:d,visible:n({},c.visible,{dflt:!0}),tickmode:c.tickmode,nticks:c.nticks,tick0:c.tick0,dtick:c.dtick,tickvals:c.tickvals,ticktext:c.ticktext,ticks:n({},c.ticks,{dflt:\\\"outside\\\"}),ticklen:c.ticklen,tickwidth:c.tickwidth,tickcolor:c.tickcolor,showticklabels:c.showticklabels,tickfont:o({}),tickangle:c.tickangle,tickformat:c.tickformat,tickformatstops:c.tickformatstops,tickprefix:c.tickprefix,showtickprefix:c.showtickprefix,ticksuffix:c.ticksuffix,showticksuffix:c.showticksuffix,separatethousands:c.separatethousands,exponentformat:c.exponentformat,minexponent:c.minexponent,showexponent:c.showexponent,editType:\\\"plot\\\"},\\\"plot\\\"),steps:m,threshold:{line:{color:n({},p.line.color,{}),width:n({},p.line.width,{dflt:1}),editType:\\\"plot\\\"},thickness:n({},p.thickness,{dflt:.85}),value:{valType:\\\"number\\\",editType:\\\"calc\\\",dflt:!1},editType:\\\"plot\\\"},editType:\\\"plot\\\"}}},{\\\"../../components/color/attributes\\\":657,\\\"../../constants/delta.js\\\":765,\\\"../../constants/docs\\\":766,\\\"../../lib/extend\\\":785,\\\"../../plot_api/edit_types\\\":827,\\\"../../plot_api/plot_template\\\":834,\\\"../../plots/cartesian/layout_attributes\\\":859,\\\"../../plots/domain\\\":872,\\\"../../plots/font_attributes\\\":873}],1140:[function(t,e,r){\\\"use 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n=t(\\\"@plotly/d3\\\"),i=t(\\\"../../lib\\\"),a=i.strScale,o=i.strTranslate,s=i.rad2deg,l=t(\\\"../../constants/alignment\\\").MID_SHIFT,c=t(\\\"../../components/drawing\\\"),u=t(\\\"./constants\\\"),f=t(\\\"../../lib/svg_text_utils\\\"),h=t(\\\"../../plots/cartesian/axes\\\"),p=t(\\\"../../plots/cartesian/axis_defaults\\\"),d=t(\\\"../../plots/cartesian/position_defaults\\\"),m=t(\\\"../../plots/cartesian/layout_attributes\\\"),g=t(\\\"../../components/color\\\"),v={left:\\\"start\\\",center:\\\"middle\\\",right:\\\"end\\\"},y={left:0,center:.5,right:1},x=/[yzafpn\\\\xb5mkMGTPEZY]/;function b(t){return t&&t.duration>0}function _(t){t.each((function(t){g.stroke(n.select(this),t.line.color)})).each((function(t){g.fill(n.select(this),t.color)})).style(\\\"stroke-width\\\",(function(t){return t.line.width}))}function w(t,e,r){var n=t._fullLayout,a=i.extendFlat({type:\\\"linear\\\",ticks:\\\"outside\\\",range:r,showline:!0},e),o={type:\\\"linear\\\",_id:\\\"x\\\"+e._id},s={letter:\\\"x\\\",font:n.font,noHover:!0,noTickson:!0};function l(t,e){return i.coerce(a,o,m,t,e)}return p(a,o,l,s,n),d(a,o,l,s),o}function T(t,e,r){return[Math.min(e/t.width,r/t.height),t,e+\\\"x\\\"+r]}function k(t,e,r,i){var a=document.createElementNS(\\\"http://www.w3.org/2000/svg\\\",\\\"text\\\"),o=n.select(a);return o.text(t).attr(\\\"x\\\",0).attr(\\\"y\\\",0).attr(\\\"text-anchor\\\",r).attr(\\\"data-unformatted\\\",t).call(f.convertToTspans,i).call(c.font,e),c.bBox(o.node())}function M(t,e,r,n,a,o){var s=\\\"_cache\\\"+e;t[s]&&t[s].key===a||(t[s]={key:a,value:r});var l=i.aggNums(o,null,[t[s].value,n],2);return t[s].value=l,l}e.exports=function(t,e,r,p){var d,m=t._fullLayout;b(r)&&p&&(d=p()),i.makeTraceGroups(m._indicatorlayer,e,\\\"trace\\\").each((function(e){var p,A,S,E,L,C=e[0].trace,P=n.select(this),I=C._hasGauge,O=C._isAngular,z=C._isBullet,D=C.domain,R={w:m._size.w*(D.x[1]-D.x[0]),h:m._size.h*(D.y[1]-D.y[0]),l:m._size.l+m._size.w*D.x[0],r:m._size.r+m._size.w*(1-D.x[1]),t:m._size.t+m._size.h*(1-D.y[1]),b:m._size.b+m._size.h*D.y[0]},F=R.l+R.w/2,B=R.t+R.h/2,N=Math.min(R.w/2,R.h),j=u.innerRadius*N,U=C.align||\\\"center\\\";if(A=B,I){if(O&&(p=F,A=B+N/2,S=function(t){return function(t,e){var r=Math.sqrt(t.width/2*(t.width/2)+t.height*t.height);return[e/r,t,e]}(t,.9*j)}),z){var V=u.bulletPadding,q=1-u.bulletNumberDomainSize+V;p=R.l+(q+(1-q)*y[U])*R.w,S=function(t){return T(t,(u.bulletNumberDomainSize-V)*R.w,R.h)}}}else p=R.l+y[U]*R.w,S=function(t){return T(t,R.w,R.h)};!function(t,e,r,s){var l,u,p,d=r[0].trace,m=s.numbersX,_=s.numbersY,T=d.align||\\\"center\\\",A=v[T],S=s.transitionOpts,E=s.onComplete,L=i.ensureSingle(e,\\\"g\\\",\\\"numbers\\\"),C=[];d._hasNumber&&C.push(\\\"number\\\");d._hasDelta&&(C.push(\\\"delta\\\"),\\\"left\\\"===d.delta.position&&C.reverse());var P=L.selectAll(\\\"text\\\").data(C);function I(e,r,n,i){if(!e.match(\\\"s\\\")||n>=0==i>=0||r(n).slice(-1).match(x)||r(i).slice(-1).match(x))return r;var a=e.slice().replace(\\\"s\\\",\\\"f\\\").replace(/\\\\d+/,(function(t){return parseInt(t)-1})),o=w(t,{tickformat:a});return function(t){return Math.abs(t)<1?h.tickText(o,t).text:r(t)}}P.enter().append(\\\"text\\\"),P.attr(\\\"text-anchor\\\",(function(){return A})).attr(\\\"class\\\",(function(t){return t})).attr(\\\"x\\\",null).attr(\\\"y\\\",null).attr(\\\"dx\\\",null).attr(\\\"dy\\\",null),P.exit().remove();var O,z=d.mode+d.align;d._hasDelta&&(O=function(){var e=w(t,{tickformat:d.delta.valueformat},d._range);e.setScale(),h.prepTicks(e);var i=function(t){return h.tickText(e,t).text},a=function(t){return d.delta.relative?t.relativeDelta:t.delta},o=function(t,e){return 0===t||\\\"number\\\"!=typeof t||isNaN(t)?\\\"-\\\":(t>0?d.delta.increasing.symbol:d.delta.decreasing.symbol)+e(t)},s=function(t){return t.delta>=0?d.delta.increasing.color:d.delta.decreasing.color};void 0===d._deltaLastValue&&(d._deltaLastValue=a(r[0]));var l=L.select(\\\"text.delta\\\");function p(){l.text(o(a(r[0]),i)).call(g.fill,s(r[0])).call(f.convertToTspans,t)}return l.call(c.font,d.delta.font).call(g.fill,s({delta:d._deltaLastValue})),b(S)?l.transition().duration(S.duration).ease(S.easing).tween(\\\"text\\\",(function(){var t=n.select(this),e=a(r[0]),l=d._deltaLastValue,c=I(d.delta.valueformat,i,l,e),u=n.interpolateNumber(l,e);return 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s=I(d.number.valueformat,i,r[0].lastY,r[0].y);return function(r){t.text(o+s(e(r))+a)}})):u(),l=k(o+i(r[0].y)+a,d.number.font,A,t)}(),z+=d.number.font.size+d.number.font.family+d.number.valueformat+d.number.suffix+d.number.prefix,p=l);if(d._hasDelta&&d._hasNumber){var D,R,F=[(l.left+l.right)/2,(l.top+l.bottom)/2],B=[(u.left+u.right)/2,(u.top+u.bottom)/2],N=.75*d.delta.font.size;\\\"left\\\"===d.delta.position&&(D=M(d,\\\"deltaPos\\\",0,-1*(l.width*y[d.align]+u.width*(1-y[d.align])+N),z,Math.min),R=F[1]-B[1],p={width:l.width+u.width+N,height:Math.max(l.height,u.height),left:u.left+D,right:l.right,top:Math.min(l.top,u.top+R),bottom:Math.max(l.bottom,u.bottom+R)}),\\\"right\\\"===d.delta.position&&(D=M(d,\\\"deltaPos\\\",0,l.width*(1-y[d.align])+u.width*y[d.align]+N,z,Math.max),R=F[1]-B[1],p={width:l.width+u.width+N,height:Math.max(l.height,u.height),left:l.left,right:u.right+D,top:Math.min(l.top,u.top+R),bottom:Math.max(l.bottom,u.bottom+R)}),\\\"bottom\\\"===d.delta.position&&(D=null,R=u.height,p={width:Math.max(l.width,u.width),height:l.height+u.height,left:Math.min(l.left,u.left),right:Math.max(l.right,u.right),top:l.bottom-l.height,bottom:l.bottom+u.height}),\\\"top\\\"===d.delta.position&&(D=null,R=l.top,p={width:Math.max(l.width,u.width),height:l.height+u.height,left:Math.min(l.left,u.left),right:Math.max(l.right,u.right),top:l.bottom-l.height-u.height,bottom:l.bottom}),O.attr({dx:D,dy:R})}(d._hasNumber||d._hasDelta)&&L.attr(\\\"transform\\\",(function(){var 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e=p.gauge.axis.range[0],r=(t-e)/(p.gauge.axis.range[1]-e)*Math.PI-S;return r<-S?-S:r>S?S:r}function L(t){return n.svg.arc().innerRadius((g+m)/2-t/2*(m-g)).outerRadius((g+m)/2+t/2*(m-g)).startAngle(-S)}function C(t){t.attr(\\\"d\\\",(function(t){return L(t.thickness).startAngle(E(t.range[0])).endAngle(E(t.range[1]))()}))}T.enter().append(\\\"g\\\").classed(\\\"angular\\\",!0),T.attr(\\\"transform\\\",o(x[0],x[1])),k.enter().append(\\\"g\\\").classed(\\\"angularaxis\\\",!0).classed(\\\"crisp\\\",!0),k.selectAll(\\\"g.xangularaxistick,path,text\\\").remove(),(a=w(t,p.gauge.axis)).type=\\\"linear\\\",a.range=p.gauge.axis.range,a._id=\\\"xangularaxis\\\",a.ticklabeloverflow=\\\"allow\\\",a.setScale();var P=function(t){return(a.range[0]-t.x)/(a.range[1]-a.range[0])*Math.PI+Math.PI},I={},O=h.makeLabelFns(a,0).labelStandoff;I.xFn=function(t){var e=P(t);return Math.cos(e)*O},I.yFn=function(t){var e=P(t),r=Math.sin(e)>0?.2:1;return-Math.sin(e)*(O+t.fontSize*r)+Math.abs(Math.cos(e))*(t.fontSize*l)},I.anchorFn=function(t){var e=P(t),r=Math.cos(e);return Math.abs(r)<.1?\\\"middle\\\":r>0?\\\"start\\\":\\\"end\\\"},I.heightFn=function(t,e,r){var n=P(t);return-.5*(1+Math.sin(n))*r};var z=function(t){return o(x[0]+m*Math.cos(t),x[1]-m*Math.sin(t))};u=function(t){return z(P(t))};if(c=h.calcTicks(a),f=h.getTickSigns(a)[2],a.visible){f=\\\"inside\\\"===a.ticks?-1:1;var D=(a.linewidth||1)/2;h.drawTicks(t,a,{vals:c,layer:k,path:\\\"M\\\"+f*D+\\\",0h\\\"+f*a.ticklen,transFn:function(t){var e=P(t);return z(e)+\\\"rotate(\\\"+-s(e)+\\\")\\\"}}),h.drawLabels(t,a,{vals:c,layer:k,transFn:u,labelFns:I})}var R=[v].concat(p.gauge.steps),F=T.selectAll(\\\"g.bg-arc\\\").data(R);F.enter().append(\\\"g\\\").classed(\\\"bg-arc\\\",!0).append(\\\"path\\\"),F.select(\\\"path\\\").call(C).call(_),F.exit().remove();var B=L(p.gauge.bar.thickness),N=T.selectAll(\\\"g.value-arc\\\").data([p.gauge.bar]);N.enter().append(\\\"g\\\").classed(\\\"value-arc\\\",!0).append(\\\"path\\\");var j=N.select(\\\"path\\\");b(M)?(j.transition().duration(M.duration).ease(M.easing).each(\\\"end\\\",(function(){A&&A()})).each(\\\"interrupt\\\",(function(){A&&A()})).attrTween(\\\"d\\\",(U=B,V=E(r[0].lastY),q=E(r[0].y),function(){var t=n.interpolate(V,q);return function(e){return U.endAngle(t(e))()}})),p._lastValue=r[0].y):j.attr(\\\"d\\\",\\\"number\\\"==typeof r[0].y?B.endAngle(E(r[0].y)):\\\"M0,0Z\\\");var U,V,q;j.call(_),N.exit().remove(),R=[];var H=p.gauge.threshold.value;(H||0===H)&&R.push({range:[H,H],color:p.gauge.threshold.color,line:{color:p.gauge.threshold.line.color,width:p.gauge.threshold.line.width},thickness:p.gauge.threshold.thickness});var G=T.selectAll(\\\"g.threshold-arc\\\").data(R);G.enter().append(\\\"g\\\").classed(\\\"threshold-arc\\\",!0).append(\\\"path\\\"),G.select(\\\"path\\\").call(C).call(_),G.exit().remove();var Y=T.selectAll(\\\"g.gauge-outline\\\").data([y]);Y.enter().append(\\\"g\\\").classed(\\\"gauge-outline\\\",!0).append(\\\"path\\\"),Y.select(\\\"path\\\").call(C).call(_),Y.exit().remove()}(t,0,e,{radius:N,innerRadius:j,gauge:H,layer:G,size:R,gaugeBg:E,gaugeOutline:L,transitionOpts:r,onComplete:d});var Y=P.selectAll(\\\"g.bullet\\\").data(z?e:[]);Y.exit().remove();var W=P.selectAll(\\\"g.bulletaxis\\\").data(z?e:[]);W.exit().remove(),z&&function(t,e,r,n){var i,a,s,l,c,f=r[0].trace,p=n.gauge,d=n.layer,m=n.gaugeBg,v=n.gaugeOutline,y=n.size,x=f.domain,T=n.transitionOpts,k=n.onComplete;p.enter().append(\\\"g\\\").classed(\\\"bullet\\\",!0),p.attr(\\\"transform\\\",o(y.l,y.t)),d.enter().append(\\\"g\\\").classed(\\\"bulletaxis\\\",!0).classed(\\\"crisp\\\",!0),d.selectAll(\\\"g.xbulletaxistick,path,text\\\").remove();var M=y.h,A=f.gauge.bar.thickness*M,S=x.x[0],E=x.x[0]+(x.x[1]-x.x[0])*(f._hasNumber||f._hasDelta?1-u.bulletNumberDomainSize:1);(i=w(t,f.gauge.axis))._id=\\\"xbulletaxis\\\",i.domain=[S,E],i.setScale(),a=h.calcTicks(i),s=h.makeTransTickFn(i),l=h.getTickSigns(i)[2],c=y.t+y.h,i.visible&&(h.drawTicks(t,i,{vals:\\\"inside\\\"===i.ticks?h.clipEnds(i,a):a,layer:d,path:h.makeTickPath(i,c,l),transFn:s}),h.drawLabels(t,i,{vals:a,layer:d,transFn:s,labelFns:h.makeLabelFns(i,c)}));function L(t){t.attr(\\\"width\\\",(function(t){return Math.max(0,i.c2p(t.range[1])-i.c2p(t.range[0]))})).attr(\\\"x\\\",(function(t){return i.c2p(t.range[0])})).attr(\\\"y\\\",(function(t){return.5*(1-t.thickness)*M})).attr(\\\"height\\\",(function(t){return t.thickness*M}))}var C=[m].concat(f.gauge.steps),P=p.selectAll(\\\"g.bg-bullet\\\").data(C);P.enter().append(\\\"g\\\").classed(\\\"bg-bullet\\\",!0).append(\\\"rect\\\"),P.select(\\\"rect\\\").call(L).call(_),P.exit().remove();var I=p.selectAll(\\\"g.value-bullet\\\").data([f.gauge.bar]);I.enter().append(\\\"g\\\").classed(\\\"value-bullet\\\",!0).append(\\\"rect\\\"),I.select(\\\"rect\\\").attr(\\\"height\\\",A).attr(\\\"y\\\",(M-A)/2).call(_),b(T)?I.select(\\\"rect\\\").transition().duration(T.duration).ease(T.easing).each(\\\"end\\\",(function(){k&&k()})).each(\\\"interrupt\\\",(function(){k&&k()})).attr(\\\"width\\\",Math.max(0,i.c2p(Math.min(f.gauge.axis.range[1],r[0].y)))):I.select(\\\"rect\\\").attr(\\\"width\\\",\\\"number\\\"==typeof r[0].y?Math.max(0,i.c2p(Math.min(f.gauge.axis.range[1],r[0].y))):0);I.exit().remove();var O=r.filter((function(){return f.gauge.threshold.value||0===f.gauge.threshold.value})),z=p.selectAll(\\\"g.threshold-bullet\\\").data(O);z.enter().append(\\\"g\\\").classed(\\\"threshold-bullet\\\",!0).append(\\\"line\\\"),z.select(\\\"line\\\").attr(\\\"x1\\\",i.c2p(f.gauge.threshold.value)).attr(\\\"x2\\\",i.c2p(f.gauge.threshold.value)).attr(\\\"y1\\\",(1-f.gauge.threshold.thickness)/2*M).attr(\\\"y2\\\",(1-(1-f.gauge.threshold.thickness)/2)*M).call(g.stroke,f.gauge.threshold.line.color).style(\\\"stroke-width\\\",f.gauge.threshold.line.width),z.exit().remove();var D=p.selectAll(\\\"g.gauge-outline\\\").data([v]);D.enter().append(\\\"g\\\").classed(\\\"gauge-outline\\\",!0).append(\\\"rect\\\"),D.select(\\\"rect\\\").call(L).call(_),D.exit().remove()}(t,0,e,{gauge:Y,layer:W,size:R,gaugeBg:E,gaugeOutline:L,transitionOpts:r,onComplete:d});var X=P.selectAll(\\\"text.title\\\").data(e);X.exit().remove(),X.enter().append(\\\"text\\\").classed(\\\"title\\\",!0),X.attr(\\\"text-anchor\\\",(function(){return 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r=\\\"slices.\\\"+t;a(r+\\\".show\\\")&&(a(r+\\\".fill\\\"),a(r+\\\".locations\\\"))})),a(\\\"spaceframe.show\\\")&&a(\\\"spaceframe.fill\\\"),a(\\\"surface.show\\\")&&(a(\\\"surface.count\\\"),a(\\\"surface.fill\\\"),a(\\\"surface.pattern\\\")),a(\\\"contour.show\\\")&&(a(\\\"contour.color\\\"),a(\\\"contour.width\\\")),[\\\"text\\\",\\\"hovertext\\\",\\\"hovertemplate\\\",\\\"lighting.ambient\\\",\\\"lighting.diffuse\\\",\\\"lighting.specular\\\",\\\"lighting.roughness\\\",\\\"lighting.fresnel\\\",\\\"lighting.vertexnormalsepsilon\\\",\\\"lighting.facenormalsepsilon\\\",\\\"lightposition.x\\\",\\\"lightposition.y\\\",\\\"lightposition.z\\\",\\\"flatshading\\\",\\\"opacity\\\"].forEach((function(t){a(t)})),o(t,e,n,a,{prefix:\\\"\\\",cLetter:\\\"c\\\"}),e._length=null):e.visible=!1}e.exports={supplyDefaults:function(t,e,r,i){s(t,e,r,i,(function(r,i){return n.coerce(t,e,a,r,i)}))},supplyIsoDefaults:s}},{\\\"../../components/colorscale/defaults\\\":668,\\\"../../lib\\\":795,\\\"../../registry\\\":923,\\\"./attributes\\\":1146}],1150:[function(t,e,r){\\\"use strict\\\";e.exports={attributes:t(\\\"./attributes\\\"),supplyDefaults:t(\\\"./defaults\\\").supplyDefaults,calc:t(\\\"./calc\\\"),colorbar:{min:\\\"cmin\\\",max:\\\"cmax\\\"},plot:t(\\\"./convert\\\").createIsosurfaceTrace,moduleType:\\\"trace\\\",name:\\\"isosurface\\\",basePlotModule:t(\\\"../../plots/gl3d\\\"),categories:[\\\"gl3d\\\",\\\"showLegend\\\"],meta:{}}},{\\\"../../plots/gl3d\\\":887,\\\"./attributes\\\":1146,\\\"./calc\\\":1147,\\\"./convert\\\":1148,\\\"./defaults\\\":1149}],1151:[function(t,e,r){\\\"use strict\\\";var n=t(\\\"../../components/colorscale/attributes\\\"),i=t(\\\"../../plots/hoverformat_attributes\\\"),a=t(\\\"../../plots/template_attributes\\\").hovertemplateAttrs,o=t(\\\"../surface/attributes\\\"),s=t(\\\"../../plots/attributes\\\"),l=t(\\\"../../lib/extend\\\").extendFlat;e.exports=l({x:{valType:\\\"data_array\\\",editType:\\\"calc+clearAxisTypes\\\"},y:{valType:\\\"data_array\\\",editType:\\\"calc+clearAxisTypes\\\"},z:{valType:\\\"data_array\\\",editType:\\\"calc+clearAxisTypes\\\"},i:{valType:\\\"data_array\\\",editType:\\\"calc\\\"},j:{valType:\\\"data_array\\\",editType:\\\"calc\\\"},k:{valType:\\\"data_array\\\",editType:\\\"calc\\\"},text:{valType:\\\"string\\\",dflt:\\\"\\\",arrayOk:!0,editType:\\\"calc\\\"},hovertext:{valType:\\\"string\\\",dflt:\\\"\\\",arrayOk:!0,editType:\\\"calc\\\"},hovertemplate:a({editType:\\\"calc\\\"}),xhoverformat:i(\\\"x\\\"),yhoverformat:i(\\\"y\\\"),zhoverformat:i(\\\"z\\\"),delaunayaxis:{valType:\\\"enumerated\\\",values:[\\\"x\\\",\\\"y\\\",\\\"z\\\"],dflt:\\\"z\\\",editType:\\\"calc\\\"},alphahull:{valType:\\\"number\\\",dflt:-1,editType:\\\"calc\\\"},intensity:{valType:\\\"data_array\\\",editType:\\\"calc\\\"},intensitymode:{valType:\\\"enumerated\\\",values:[\\\"vertex\\\",\\\"cell\\\"],dflt:\\\"vertex\\\",editType:\\\"calc\\\"},color:{valType:\\\"color\\\",editType:\\\"calc\\\"},vertexcolor:{valType:\\\"data_array\\\",editType:\\\"calc\\\"},facecolor:{valType:\\\"data_array\\\",editType:\\\"calc\\\"},transforms:void 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r=t.length,n=0;n<r;n++)if(t[n]<=-.5||t[n]>=e-.5)return!1;return!0}h.handlePick=function(t){if(t.object===this.mesh){var e=t.index=t.data.index;t.data._cellCenter?t.traceCoordinate=t.data.dataCoordinate:t.traceCoordinate=[this.data.x[e],this.data.y[e],this.data.z[e]];var r=this.data.hovertext||this.data.text;return Array.isArray(r)&&void 0!==r[e]?t.textLabel=r[e]:r&&(t.textLabel=r),!0}},h.update=function(t){var e=this.scene,r=e.fullSceneLayout;this.data=t;var n,f=t.x.length,h=u(d(r.xaxis,t.x,e.dataScale[0],t.xcalendar),d(r.yaxis,t.y,e.dataScale[1],t.ycalendar),d(r.zaxis,t.z,e.dataScale[2],t.zcalendar));if(t.i&&t.j&&t.k){if(t.i.length!==t.j.length||t.j.length!==t.k.length||!g(t.i,f)||!g(t.j,f)||!g(t.k,f))return;n=u(m(t.i),m(t.j),m(t.k))}else n=0===t.alphahull?o(h):t.alphahull>0?a(t.alphahull,h):function(t,e){for(var r=[\\\"x\\\",\\\"y\\\",\\\"z\\\"].indexOf(t),n=[],a=e.length,o=0;o<a;o++)n[o]=[e[o][(r+1)%3],e[o][(r+2)%3]];return i(n)}(t.delaunayaxis,h);var v={positions:h,cells:n,lightPosition:[t.lightposition.x,t.lightposition.y,t.lightposition.z],ambient:t.lighting.ambient,diffuse:t.lighting.diffuse,specular:t.lighting.specular,roughness:t.lighting.roughness,fresnel:t.lighting.fresnel,vertexNormalsEpsilon:t.lighting.vertexnormalsepsilon,faceNormalsEpsilon:t.lighting.facenormalsepsilon,opacity:t.opacity,contourEnable:t.contour.show,contourColor:l(t.contour.color).slice(0,3),contourWidth:t.contour.width,useFacetNormals:t.flatshading};if(t.intensity){var y=c(t);this.color=\\\"#fff\\\";var x=t.intensitymode;v[x+\\\"Intensity\\\"]=t.intensity,v[x+\\\"IntensityBounds\\\"]=[y.min,y.max],v.colormap=s(t)}else t.vertexcolor?(this.color=t.vertexcolor[0],v.vertexColors=p(t.vertexcolor)):t.facecolor?(this.color=t.facecolor[0],v.cellColors=p(t.facecolor)):(this.color=t.color,v.meshColor=l(t.color));this.mesh.update(v)},h.dispose=function(){this.scene.glplot.remove(this.mesh),this.mesh.dispose()},e.exports=function(t,e){var 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0===e?t.parcatsViewModel.model.dimensions[t.model.dimensionInd].dimensionLabel:null})).each((function(t){l.font(n.select(this),t.parcatsViewModel.labelfont)})),M.selectAll(\\\"rect.bandrect\\\").on(\\\"mouseover\\\",E).on(\\\"mouseout\\\",L),M.exit().remove(),k.call(n.behavior.drag().origin((function(t){return{x:t.x,y:0}})).on(\\\"dragstart\\\",C).on(\\\"drag\\\",P).on(\\\"dragend\\\",I)),f.each((function(t){t.traceSelection=n.select(this),t.pathSelection=n.select(this).selectAll(\\\"g.paths\\\").selectAll(\\\"path.path\\\"),t.dimensionSelection=n.select(this).selectAll(\\\"g.dimensions\\\").selectAll(\\\"g.dimension\\\")})),f.exit().remove()}function h(t){return t.key}function p(t){var e=t.parcatsViewModel.dimensions.length,r=t.parcatsViewModel.dimensions[e-1].model.dimensionInd;return t.model.dimensionInd===r}function d(t,e){return t.model.rawColor>e.model.rawColor?1:t.model.rawColor<e.model.rawColor?-1:0}function m(t){if(!t.parcatsViewModel.dragDimension&&-1===t.parcatsViewModel.hoverinfoItems.indexOf(\\\"skip\\\")){o.raiseToTop(this),_(n.select(this));var e=v(t),r=y(t);if(t.parcatsViewModel.graphDiv.emit(\\\"plotly_hover\\\",{points:e,event:n.event,constraints:r}),-1===t.parcatsViewModel.hoverinfoItems.indexOf(\\\"none\\\")){var i,s,l,u=n.mouse(this)[0],f=t.parcatsViewModel.graphDiv,h=t.parcatsViewModel.trace,p=f._fullLayout,d=p._paperdiv.node().getBoundingClientRect(),m=t.parcatsViewModel.graphDiv.getBoundingClientRect();for(l=0;l<t.leftXs.length-1;l++)if(t.leftXs[l]+t.dimWidths[l]-2<=u&&u<=t.leftXs[l+1]+2){var g=t.parcatsViewModel.dimensions[l],x=t.parcatsViewModel.dimensions[l+1];i=(g.x+g.width+x.x)/2,s=(t.topYs[l]+t.topYs[l+1]+t.height)/2;break}var b=t.parcatsViewModel.x+i,w=t.parcatsViewModel.y+s,T=c.mostReadable(t.model.color,[\\\"black\\\",\\\"white\\\"]),k=t.model.count,M=k/t.parcatsViewModel.model.count,A={countLabel:k,probabilityLabel:M.toFixed(3)},S=[];-1!==t.parcatsViewModel.hoverinfoItems.indexOf(\\\"count\\\")&&S.push([\\\"Count:\\\",A.countLabel].join(\\\" \\\")),-1!==t.parcatsViewModel.hoverinfoItems.indexOf(\\\"probability\\\")&&S.push([\\\"P:\\\",A.probabilityLabel].join(\\\" \\\"));var E=S.join(\\\"<br>\\\"),L=n.mouse(f)[0];a.loneHover({trace:h,x:b-d.left+m.left,y:w-d.top+m.top,text:E,color:t.model.color,borderColor:\\\"black\\\",fontFamily:'Monaco, \\\"Courier New\\\", monospace',fontSize:10,fontColor:T,idealAlign:L<b?\\\"right\\\":\\\"left\\\",hovertemplate:(h.line||{}).hovertemplate,hovertemplateLabels:A,eventData:[{data:h._input,fullData:h,count:k,probability:M}]},{container:p._hoverlayer.node(),outerContainer:p._paper.node(),gd:f})}}}function g(t){if(!t.parcatsViewModel.dragDimension&&(b(n.select(this)),a.loneUnhover(t.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()),t.parcatsViewModel.pathSelection.sort(d),-1===t.parcatsViewModel.hoverinfoItems.indexOf(\\\"skip\\\"))){var e=v(t),r=y(t);t.parcatsViewModel.graphDiv.emit(\\\"plotly_unhover\\\",{points:e,event:n.event,constraints:r})}}function v(t){for(var e=[],r=O(t.parcatsViewModel),n=0;n<t.model.valueInds.length;n++){var i=t.model.valueInds[n];e.push({curveNumber:r,pointNumber:i})}return e}function y(t){for(var e={},r=t.parcatsViewModel.model.dimensions,n=0;n<r.length;n++){var i=r[n],a=i.categories[t.model.categoryInds[n]];e[i.containerInd]=a.categoryValue}return void 0!==t.model.rawColor&&(e.color=t.model.rawColor),e}function x(t){if(-1===t.parcatsViewModel.hoverinfoItems.indexOf(\\\"skip\\\")){var e=v(t),r=y(t);t.parcatsViewModel.graphDiv.emit(\\\"plotly_click\\\",{points:e,event:n.event,constraints:r})}}function b(t){t.attr(\\\"fill\\\",(function(t){return t.model.color})).attr(\\\"fill-opacity\\\",.6).attr(\\\"stroke\\\",\\\"lightgray\\\").attr(\\\"stroke-width\\\",.2).attr(\\\"stroke-opacity\\\",1)}function _(t){t.attr(\\\"fill-opacity\\\",.8).attr(\\\"stroke\\\",(function(t){return c.mostReadable(t.model.color,[\\\"black\\\",\\\"white\\\"])})).attr(\\\"stroke-width\\\",.3)}function w(t){t.select(\\\"rect.catrect\\\").attr(\\\"stroke\\\",\\\"black\\\").attr(\\\"stroke-width\\\",1).attr(\\\"stroke-opacity\\\",1)}function T(t){t.attr(\\\"stroke\\\",\\\"black\\\").attr(\\\"stroke-width\\\",.2).attr(\\\"stroke-opacity\\\",1).attr(\\\"fill-opacity\\\",1)}function k(t){var e=t.parcatsViewModel.pathSelection,r=t.categoryViewModel.model.dimensionInd,n=t.categoryViewModel.model.categoryInd;return e.filter((function(e){return e.model.categoryInds[r]===n&&e.model.color===t.color}))}function M(t,e,r){var i=n.select(t).datum(),a=i.categoryViewModel.model,o=i.parcatsViewModel.graphDiv,s=n.select(t.parentNode).selectAll(\\\"rect.bandrect\\\"),l=[];s.each((function(t){k(t).each((function(t){Array.prototype.push.apply(l,v(t))}))}));var c={};c[a.dimensionInd]=a.categoryValue,o.emit(e,{points:l,event:r,constraints:c})}function A(t,e,r){var i=n.select(t).datum(),a=i.categoryViewModel.model,o=i.parcatsViewModel.graphDiv,s=k(i),l=[];s.each((function(t){Array.prototype.push.apply(l,v(t))}));var c={};c[a.dimensionInd]=a.categoryValue,void 0!==i.rawColor&&(c.color=i.rawColor),o.emit(e,{points:l,event:r,constraints:c})}function S(t,e,r){t._fullLayout._calcInverseTransform(t);var i,a,o=t._fullLayout._invScaleX,s=t._fullLayout._invScaleY,l=n.select(r.parentNode).select(\\\"rect.catrect\\\"),c=l.node().getBoundingClientRect(),u=l.datum(),f=u.parcatsViewModel,h=f.model.dimensions[u.model.dimensionInd],p=f.trace,d=c.top+c.height/2;f.dimensions.length>1&&h.displayInd===f.dimensions.length-1?(i=c.left,a=\\\"left\\\"):(i=c.left+c.width,a=\\\"right\\\");var m=u.model.count,g=u.model.categoryLabel,v=m/u.parcatsViewModel.model.count,y={countLabel:m,categoryLabel:g,probabilityLabel:v.toFixed(3)},x=[];-1!==u.parcatsViewModel.hoverinfoItems.indexOf(\\\"count\\\")&&x.push([\\\"Count:\\\",y.countLabel].join(\\\" \\\")),-1!==u.parcatsViewModel.hoverinfoItems.indexOf(\\\"probability\\\")&&x.push([\\\"P(\\\"+y.categoryLabel+\\\"):\\\",y.probabilityLabel].join(\\\" \\\"));var b=x.join(\\\"<br>\\\");return{trace:p,x:o*(i-e.left),y:s*(d-e.top),text:b,color:\\\"lightgray\\\",borderColor:\\\"black\\\",fontFamily:'Monaco, \\\"Courier New\\\", monospace',fontSize:12,fontColor:\\\"black\\\",idealAlign:a,hovertemplate:p.hovertemplate,hovertemplateLabels:y,eventData:[{data:p._input,fullData:p,count:m,category:g,probability:v}]}}function E(t){if(!t.parcatsViewModel.dragDimension&&-1===t.parcatsViewModel.hoverinfoItems.indexOf(\\\"skip\\\")){if(n.mouse(this)[1]<-1)return;var e,r=t.parcatsViewModel.graphDiv,i=r._fullLayout,s=i._paperdiv.node().getBoundingClientRect(),l=t.parcatsViewModel.hoveron;if(\\\"color\\\"===l?(!function(t){var e=n.select(t).datum(),r=k(e);_(r),r.each((function(){o.raiseToTop(this)})),n.select(t.parentNode).selectAll(\\\"rect.bandrect\\\").filter((function(t){return t.color===e.color})).each((function(){o.raiseToTop(this),n.select(this).attr(\\\"stroke\\\",\\\"black\\\").attr(\\\"stroke-width\\\",1.5)}))}(this),A(this,\\\"plotly_hover\\\",n.event)):(!function(t){n.select(t.parentNode).selectAll(\\\"rect.bandrect\\\").each((function(t){var e=k(t);_(e),e.each((function(){o.raiseToTop(this)}))})),n.select(t.parentNode).select(\\\"rect.catrect\\\").attr(\\\"stroke\\\",\\\"black\\\").attr(\\\"stroke-width\\\",2.5)}(this),M(this,\\\"plotly_hover\\\",n.event)),-1===t.parcatsViewModel.hoverinfoItems.indexOf(\\\"none\\\"))\\\"category\\\"===l?e=S(r,s,this):\\\"color\\\"===l?e=function(t,e,r){t._fullLayout._calcInverseTransform(t);var i,a,o=t._fullLayout._invScaleX,s=t._fullLayout._invScaleY,l=r.getBoundingClientRect(),u=n.select(r).datum(),f=u.categoryViewModel,h=f.parcatsViewModel,p=h.model.dimensions[f.model.dimensionInd],d=h.trace,m=l.y+l.height/2;h.dimensions.length>1&&p.displayInd===h.dimensions.length-1?(i=l.left,a=\\\"left\\\"):(i=l.left+l.width,a=\\\"right\\\");var g=f.model.categoryLabel,v=u.parcatsViewModel.model.count,y=0;u.categoryViewModel.bands.forEach((function(t){t.color===u.color&&(y+=t.count)}));var x=f.model.count,b=0;h.pathSelection.each((function(t){t.model.color===u.color&&(b+=t.model.count)}));var _=y/v,w=y/b,T=y/x,k={countLabel:v,categoryLabel:g,probabilityLabel:_.toFixed(3)},M=[];-1!==f.parcatsViewModel.hoverinfoItems.indexOf(\\\"count\\\")&&M.push([\\\"Count:\\\",k.countLabel].join(\\\" \\\")),-1!==f.parcatsViewModel.hoverinfoItems.indexOf(\\\"probability\\\")&&(M.push(\\\"P(color \\\\u2229 \\\"+g+\\\"): \\\"+k.probabilityLabel),M.push(\\\"P(\\\"+g+\\\" | color): \\\"+w.toFixed(3)),M.push(\\\"P(color | \\\"+g+\\\"): \\\"+T.toFixed(3)));var A=M.join(\\\"<br>\\\"),S=c.mostReadable(u.color,[\\\"black\\\",\\\"white\\\"]);return{trace:d,x:o*(i-e.left),y:s*(m-e.top),text:A,color:u.color,borderColor:\\\"black\\\",fontFamily:'Monaco, \\\"Courier New\\\", monospace',fontColor:S,fontSize:10,idealAlign:a,hovertemplate:d.hovertemplate,hovertemplateLabels:k,eventData:[{data:d._input,fullData:d,category:g,count:v,probability:_,categorycount:x,colorcount:b,bandcolorcount:y}]}}(r,s,this):\\\"dimension\\\"===l&&(e=function(t,e,r){var i=[];return n.select(r.parentNode.parentNode).selectAll(\\\"g.category\\\").select(\\\"rect.catrect\\\").each((function(){i.push(S(t,e,this))})),i}(r,s,this)),e&&a.loneHover(e,{container:i._hoverlayer.node(),outerContainer:i._paper.node(),gd:r})}}function L(t){var e=t.parcatsViewModel;if(!e.dragDimension&&(b(e.pathSelection),w(e.dimensionSelection.selectAll(\\\"g.category\\\")),T(e.dimensionSelection.selectAll(\\\"g.category\\\").selectAll(\\\"rect.bandrect\\\")),a.loneUnhover(e.graphDiv._fullLayout._hoverlayer.node()),e.pathSelection.sort(d),-1===e.hoverinfoItems.indexOf(\\\"skip\\\"))){\\\"color\\\"===t.parcatsViewModel.hoveron?A(this,\\\"plotly_unhover\\\",n.event):M(this,\\\"plotly_unhover\\\",n.event)}}function C(t){\\\"fixed\\\"!==t.parcatsViewModel.arrangement&&(t.dragDimensionDisplayInd=t.model.displayInd,t.initialDragDimensionDisplayInds=t.parcatsViewModel.model.dimensions.map((function(t){return t.displayInd})),t.dragHasMoved=!1,t.dragCategoryDisplayInd=null,n.select(this).selectAll(\\\"g.category\\\").select(\\\"rect.catrect\\\").each((function(e){var r=n.mouse(this)[0],i=n.mouse(this)[1];-2<=r&&r<=e.width+2&&-2<=i&&i<=e.height+2&&(t.dragCategoryDisplayInd=e.model.displayInd,t.initialDragCategoryDisplayInds=t.model.categories.map((function(t){return t.displayInd})),e.model.dragY=e.y,o.raiseToTop(this.parentNode),n.select(this.parentNode).selectAll(\\\"rect.bandrect\\\").each((function(e){e.y<i&&i<=e.y+e.height&&(t.potentialClickBand=this)})))})),t.parcatsViewModel.dragDimension=t,a.loneUnhover(t.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()))}function P(t){if(\\\"fixed\\\"!==t.parcatsViewModel.arrangement&&(t.dragHasMoved=!0,null!==t.dragDimensionDisplayInd)){var e=t.dragDimensionDisplayInd,r=e-1,i=e+1,a=t.parcatsViewModel.dimensions[e];if(null!==t.dragCategoryDisplayInd){var o=a.categories[t.dragCategoryDisplayInd];o.model.dragY+=n.event.dy;var s=o.model.dragY,l=o.model.displayInd,c=a.categories,u=c[l-1],f=c[l+1];void 0!==u&&s<u.y+u.height/2&&(o.model.displayInd=u.model.displayInd,u.model.displayInd=l),void 0!==f&&s+o.height>f.y+f.height/2&&(o.model.displayInd=f.model.displayInd,f.model.displayInd=l),t.dragCategoryDisplayInd=o.model.displayInd}if(null===t.dragCategoryDisplayInd||\\\"freeform\\\"===t.parcatsViewModel.arrangement){a.model.dragX=n.event.x;var h=t.parcatsViewModel.dimensions[r],p=t.parcatsViewModel.dimensions[i];void 0!==h&&a.model.dragX<h.x+h.width&&(a.model.displayInd=h.model.displayInd,h.model.displayInd=e),void 0!==p&&a.model.dragX+a.width>p.x&&(a.model.displayInd=p.model.displayInd,p.model.displayInd=t.dragDimensionDisplayInd),t.dragDimensionDisplayInd=a.model.displayInd}N(t.parcatsViewModel),B(t.parcatsViewModel),D(t.parcatsViewModel),z(t.parcatsViewModel)}}function I(t){if(\\\"fixed\\\"!==t.parcatsViewModel.arrangement&&null!==t.dragDimensionDisplayInd){n.select(this).selectAll(\\\"text\\\").attr(\\\"font-weight\\\",\\\"normal\\\");var e={},r=O(t.parcatsViewModel),a=t.parcatsViewModel.model.dimensions.map((function(t){return t.displayInd})),o=t.initialDragDimensionDisplayInds.some((function(t,e){return t!==a[e]}));o&&a.forEach((function(r,n){var i=t.parcatsViewModel.model.dimensions[n].containerInd;e[\\\"dimensions[\\\"+i+\\\"].displayindex\\\"]=r}));var s=!1;if(null!==t.dragCategoryDisplayInd){var l=t.model.categories.map((function(t){return t.displayInd}));if(s=t.initialDragCategoryDisplayInds.some((function(t,e){return t!==l[e]}))){var c=t.model.categories.slice().sort((function(t,e){return t.displayInd-e.displayInd})),u=c.map((function(t){return t.categoryValue})),f=c.map((function(t){return t.categoryLabel}));e[\\\"dimensions[\\\"+t.model.containerInd+\\\"].categoryarray\\\"]=[u],e[\\\"dimensions[\\\"+t.model.containerInd+\\\"].ticktext\\\"]=[f],e[\\\"dimensions[\\\"+t.model.containerInd+\\\"].categoryorder\\\"]=\\\"array\\\"}}if(-1===t.parcatsViewModel.hoverinfoItems.indexOf(\\\"skip\\\")&&!t.dragHasMoved&&t.potentialClickBand&&(\\\"color\\\"===t.parcatsViewModel.hoveron?A(t.potentialClickBand,\\\"plotly_click\\\",n.event.sourceEvent):M(t.potentialClickBand,\\\"plotly_click\\\",n.event.sourceEvent)),t.model.dragX=null,null!==t.dragCategoryDisplayInd)t.parcatsViewModel.dimensions[t.dragDimensionDisplayInd].categories[t.dragCategoryDisplayInd].model.dragY=null,t.dragCategoryDisplayInd=null;t.dragDimensionDisplayInd=null,t.parcatsViewModel.dragDimension=null,t.dragHasMoved=null,t.potentialClickBand=null,N(t.parcatsViewModel),B(t.parcatsViewModel),n.transition().duration(300).ease(\\\"cubic-in-out\\\").each((function(){D(t.parcatsViewModel,!0),z(t.parcatsViewModel,!0)})).each(\\\"end\\\",(function(){(o||s)&&i.restyle(t.parcatsViewModel.graphDiv,e,[r])}))}}function O(t){for(var e,r=t.graphDiv._fullData,n=0;n<r.length;n++)if(t.key===r[n].uid){e=n;break}return e}function z(t,e){var r;void 0===e&&(e=!1),t.pathSelection.data((function(t){return t.paths}),h),(r=t.pathSelection,e?r.transition():r).attr(\\\"d\\\",(function(t){return t.svgD}))}function D(t,e){function r(t){return e?t.transition():t}void 0===e&&(e=!1),t.dimensionSelection.data((function(t){return t.dimensions}),h);var i=t.dimensionSelection.selectAll(\\\"g.category\\\").data((function(t){return t.categories}),h);r(t.dimensionSelection).attr(\\\"transform\\\",(function(t){return s(t.x,0)})),r(i).attr(\\\"transform\\\",(function(t){return s(0,t.y)})),i.select(\\\".dimlabel\\\").text((function(t,e){return 0===e?t.parcatsViewModel.model.dimensions[t.model.dimensionInd].dimensionLabel:null})),i.select(\\\".catlabel\\\").attr(\\\"text-anchor\\\",(function(t){return p(t)?\\\"start\\\":\\\"end\\\"})).attr(\\\"x\\\",(function(t){return p(t)?t.width+5:-5})).each((function(t){var e,r;p(t)?(e=t.width+5,r=\\\"start\\\"):(e=-5,r=\\\"end\\\"),n.select(this).selectAll(\\\"tspan\\\").attr(\\\"x\\\",e).attr(\\\"text-anchor\\\",r)}));var a=i.selectAll(\\\"rect.bandrect\\\").data((function(t){return t.bands}),h),l=a.enter().append(\\\"rect\\\").attr(\\\"class\\\",\\\"bandrect\\\").attr(\\\"cursor\\\",\\\"move\\\").attr(\\\"stroke-opacity\\\",0).attr(\\\"fill\\\",(function(t){return t.color})).attr(\\\"fill-opacity\\\",0);a.attr(\\\"fill\\\",(function(t){return t.color})).attr(\\\"width\\\",(function(t){return t.width})).attr(\\\"height\\\",(function(t){return t.height})).attr(\\\"y\\\",(function(t){return t.y})),T(l),a.each((function(){o.raiseToTop(this)})),a.exit().remove()}function R(t,e,r){var n,i=r[0],a=e.margin||{l:80,r:80,t:100,b:80},o=i.trace,s=o.domain,l=e.width,c=e.height,u=Math.floor(l*(s.x[1]-s.x[0])),f=Math.floor(c*(s.y[1]-s.y[0])),h=s.x[0]*l+a.l,p=e.height-s.y[1]*e.height+a.t,d=o.line.shape;n=\\\"all\\\"===o.hoverinfo?[\\\"count\\\",\\\"probability\\\"]:(o.hoverinfo||\\\"\\\").split(\\\"+\\\");var m={trace:o,key:o.uid,model:i,x:h,y:p,width:u,height:f,hoveron:o.hoveron,hoverinfoItems:n,arrangement:o.arrangement,bundlecolors:o.bundlecolors,sortpaths:o.sortpaths,labelfont:o.labelfont,categorylabelfont:o.tickfont,pathShape:d,dragDimension:null,margin:a,paths:[],dimensions:[],graphDiv:t,traceSelection:null,pathSelection:null,dimensionSelection:null};return i.dimensions&&(N(m),B(m)),m}function F(t,e,r,i,a){var o,s,l=[],c=[];for(s=0;s<r.length-1;s++)o=n.interpolateNumber(r[s]+t[s],t[s+1]),l.push(o(a)),c.push(o(1-a));var u=\\\"M \\\"+t[0]+\\\",\\\"+e[0];for(u+=\\\"l\\\"+r[0]+\\\",0 \\\",s=1;s<r.length;s++)u+=\\\"C\\\"+l[s-1]+\\\",\\\"+e[s-1]+\\\" \\\"+c[s-1]+\\\",\\\"+e[s]+\\\" \\\"+t[s]+\\\",\\\"+e[s],u+=\\\"l\\\"+r[s]+\\\",0 \\\";for(u+=\\\"l0,\\\"+i+\\\" \\\",u+=\\\"l -\\\"+r[r.length-1]+\\\",0 \\\",s=r.length-2;s>=0;s--)u+=\\\"C\\\"+c[s]+\\\",\\\"+(e[s+1]+i)+\\\" \\\"+l[s]+\\\",\\\"+(e[s]+i)+\\\" \\\"+(t[s]+r[s])+\\\",\\\"+(e[s]+i),u+=\\\"l-\\\"+r[s]+\\\",0 \\\";return u+=\\\"Z\\\"}function B(t){var e=t.dimensions,r=t.model,n=e.map((function(t){return t.categories.map((function(t){return t.y}))})),i=t.model.dimensions.map((function(t){return t.categories.map((function(t){return t.displayInd}))})),a=t.model.dimensions.map((function(t){return t.displayInd})),o=t.dimensions.map((function(t){return t.model.dimensionInd})),s=e.map((function(t){return t.x})),l=e.map((function(t){return t.width})),c=[];for(var u in r.paths)r.paths.hasOwnProperty(u)&&c.push(r.paths[u]);function f(t){var e=t.categoryInds.map((function(t,e){return i[e][t]}));return o.map((function(t){return e[t]}))}c.sort((function(e,r){var n=f(e),i=f(r);return\\\"backward\\\"===t.sortpaths&&(n.reverse(),i.reverse()),n.push(e.valueInds[0]),i.push(r.valueInds[0]),t.bundlecolors&&(n.unshift(e.rawColor),i.unshift(r.rawColor)),n<i?-1:n>i?1:0}));for(var h=new Array(c.length),p=e[0].model.count,d=e[0].categories.map((function(t){return t.height})).reduce((function(t,e){return t+e})),m=0;m<c.length;m++){var g,v=c[m];g=p>0?d*(v.count/p):0;for(var y,x=new Array(n.length),b=0;b<v.categoryInds.length;b++){var _=v.categoryInds[b],w=i[b][_],T=a[b];x[T]=n[T][w],n[T][w]+=g;var k=t.dimensions[T].categories[w],M=k.bands.length,A=k.bands[M-1];if(void 0===A||v.rawColor!==A.rawColor){var S=void 0===A?0:A.y+A.height;k.bands.push({key:S,color:v.color,rawColor:v.rawColor,height:g,width:k.width,count:v.count,y:S,categoryViewModel:k,parcatsViewModel:t})}else{var 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a=t._fullLayout,o=a._paper,s=a._size;n(t,o,e,{width:s.w,height:s.h,margin:{t:s.t,r:s.r,b:s.b,l:s.l}},r,i)}},{\\\"./parcats\\\":1170}],1172:[function(t,e,r){\\\"use strict\\\";var n=t(\\\"../../components/colorscale/attributes\\\"),i=t(\\\"../../plots/cartesian/layout_attributes\\\"),a=t(\\\"../../plots/font_attributes\\\"),o=t(\\\"../../plots/domain\\\").attributes,s=t(\\\"../../lib/extend\\\").extendFlat,l=t(\\\"../../plot_api/plot_template\\\").templatedArray;e.exports={domain:o({name:\\\"parcoords\\\",trace:!0,editType:\\\"plot\\\"}),labelangle:{valType:\\\"angle\\\",dflt:0,editType:\\\"plot\\\"},labelside:{valType:\\\"enumerated\\\",values:[\\\"top\\\",\\\"bottom\\\"],dflt:\\\"top\\\",editType:\\\"plot\\\"},labelfont:a({editType:\\\"plot\\\"}),tickfont:a({editType:\\\"plot\\\"}),rangefont:a({editType:\\\"plot\\\"}),dimensions:l(\\\"dimension\\\",{label:{valType:\\\"string\\\",editType:\\\"plot\\\"},tickvals:s({},i.tickvals,{editType:\\\"plot\\\"}),ticktext:s({},i.ticktext,{editType:\\\"plot\\\"}),tickformat:s({},i.tickformat,{editType:\\\"plot\\\"}),visible:{valType:\\\"boolean\\\",dflt:!0,editType:\\\"plot\\\"},range:{valType:\\\"info_array\\\",items:[{valType:\\\"number\\\",editType:\\\"plot\\\"},{valType:\\\"number\\\",editType:\\\"plot\\\"}],editType:\\\"plot\\\"},constraintrange:{valType:\\\"info_array\\\",freeLength:!0,dimensions:\\\"1-2\\\",items:[{valType:\\\"number\\\",editType:\\\"plot\\\"},{valType:\\\"number\\\",editType:\\\"plot\\\"}],editType:\\\"plot\\\"},multiselect:{valType:\\\"boolean\\\",dflt:!0,editType:\\\"plot\\\"},values:{valType:\\\"data_array\\\",editType:\\\"calc\\\"},editType:\\\"calc\\\"}),line:s({editType:\\\"calc\\\"},n(\\\"line\\\",{colorscaleDflt:\\\"Viridis\\\",autoColorDflt:!1,editTypeOverride:\\\"calc\\\"}))}},{\\\"../../components/colorscale/attributes\\\":665,\\\"../../lib/extend\\\":785,\\\"../../plot_api/plot_template\\\":834,\\\"../../plots/cartesian/layout_attributes\\\":859,\\\"../../plots/domain\\\":872,\\\"../../plots/font_attributes\\\":873}],1173:[function(t,e,r){\\\"use 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r=_(e,e.height-i.mouse(t)[1]-2*n.verticalPadding),a=\\\"crosshair\\\";r.clickableOrdinalRange?a=\\\"pointer\\\":r.region&&(a=r.region+\\\"-resize\\\"),i.select(document.body).style(\\\"cursor\\\",a)}function k(t){t.on(\\\"mousemove\\\",(function(t){i.event.preventDefault(),t.parent.inBrushDrag||T(this,t)})).on(\\\"mouseleave\\\",(function(t){t.parent.inBrushDrag||y()})).call(i.behavior.drag().on(\\\"dragstart\\\",(function(t){!function(t,e){i.event.sourceEvent.stopPropagation();var r=e.height-i.mouse(t)[1]-2*n.verticalPadding,a=e.unitToPaddedPx.invert(r),o=e.brush,s=_(e,r),l=s.interval,c=o.svgBrush;if(c.wasDragged=!1,c.grabbingBar=\\\"ns\\\"===s.region,c.grabbingBar){var u=l.map(e.unitToPaddedPx);c.grabPoint=r-u[0]-n.verticalPadding,c.barLength=u[1]-u[0]}c.clickableOrdinalRange=s.clickableOrdinalRange,c.stayingIntervals=e.multiselect&&o.filterSpecified?o.filter.getConsolidated():[],l&&(c.stayingIntervals=c.stayingIntervals.filter((function(t){return 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l=e.unitTickvals;l[l.length-1]<l[0]&&l.reverse(),a.newExtent=[p(0,l,a.newExtent[0],a.stayingIntervals),p(1,l,a.newExtent[1],a.stayingIntervals)];var c=a.newExtent[1]>a.newExtent[0];a.extent=a.stayingIntervals.concat(c?[a.newExtent]:[]),a.extent.length||A(r),a.brushCallback(e),c?b(t.parentNode,s):(s(),b(t.parentNode))}else s();a.brushEndCallback(r.filterSpecified?n.getConsolidated():[])}(this,t)})))}function M(t,e){return t[0]-e[0]}function A(t){t.filterSpecified=!1,t.svgBrush.extent=[[-1/0,1/0]]}function S(t){for(var e,r=t.slice(),n=[],i=r.shift();i;){for(e=i.slice();(i=r.shift())&&i[0]<=e[1];)e[1]=Math.max(e[1],i[1]);n.push(e)}return 1===n.length&&n[0][0]>n[0][1]&&(n=[]),n}e.exports={makeBrush:function(t,e,r,n,i,a){var o,l=function(){var t,e,r=[];return{set:function(n){1===(r=n.map((function(t){return t.slice().sort(s)})).sort(M)).length&&r[0][0]===-1/0&&r[0][1]===1/0&&(r=[[0,-1]]),t=S(r),e=r.reduce((function(t,e){return[Math.min(t[0],e[0]),Math.max(t[1],e[1])]}),[1/0,-1/0])},get:function(){return r.slice()},getConsolidated:function(){return t},getBounds:function(){return e}}}();return l.set(r),{filter:l,filterSpecified:e,svgBrush:{extent:[],brushStartCallback:n,brushCallback:(o=i,function(t){var e=t.brush,r=function(t){return t.svgBrush.extent.map((function(t){return t.slice()}))}(e).slice();e.filter.set(r),o()}),brushEndCallback:a}}},ensureAxisBrush:function(t,e){var r=t.selectAll(\\\".\\\"+n.cn.axisBrush).data(o,a);r.enter().append(\\\"g\\\").classed(n.cn.axisBrush,!0),function(t,e){var r=t.selectAll(\\\".background\\\").data(o);r.enter().append(\\\"rect\\\").classed(\\\"background\\\",!0).call(d).call(m).style(\\\"pointer-events\\\",\\\"auto\\\").attr(\\\"transform\\\",l(0,n.verticalPadding)),r.call(k).attr(\\\"height\\\",(function(t){return t.height-n.verticalPadding}));var i=t.selectAll(\\\".highlight-shadow\\\").data(o);i.enter().append(\\\"line\\\").classed(\\\"highlight-shadow\\\",!0).attr(\\\"x\\\",-n.bar.width/2).attr(\\\"stroke-width\\\",n.bar.width+n.bar.strokeWidth).attr(\\\"stroke\\\",e).attr(\\\"opacity\\\",n.bar.strokeOpacity).attr(\\\"stroke-linecap\\\",\\\"butt\\\"),i.attr(\\\"y1\\\",(function(t){return t.height})).call(x);var a=t.selectAll(\\\".highlight\\\").data(o);a.enter().append(\\\"line\\\").classed(\\\"highlight\\\",!0).attr(\\\"x\\\",-n.bar.width/2).attr(\\\"stroke-width\\\",n.bar.width-n.bar.strokeWidth).attr(\\\"stroke\\\",n.bar.fillColor).attr(\\\"opacity\\\",n.bar.fillOpacity).attr(\\\"stroke-linecap\\\",\\\"butt\\\"),a.attr(\\\"y1\\\",(function(t){return t.height})).call(x)}(r,e)},cleanRanges:function(t,e){if(Array.isArray(t[0])?(t=t.map((function(t){return t.sort(s)})),t=e.multiselect?S(t.sort(M)):[t[0]]):t=[t.sort(s)],e.tickvals){var r=e.tickvals.slice().sort(s);if(!(t=t.map((function(t){var e=[p(0,r,t[0],[]),p(1,r,t[1],[])];if(e[1]>e[0])return e})).filter((function(t){return t}))).length)return}return t.length>1?t:t[0]}}},{\\\"../../lib\\\":795,\\\"../../lib/gup\\\":792,\\\"./constants\\\":1176,\\\"@plotly/d3\\\":58}],1174:[function(t,e,r){\\\"use strict\\\";var n=t(\\\"@plotly/d3\\\"),i=t(\\\"../../plots/get_data\\\").getModuleCalcData,a=t(\\\"./plot\\\"),o=t(\\\"../../constants/xmlns_namespaces\\\");r.name=\\\"parcoords\\\",r.plot=function(t){var e=i(t.calcdata,\\\"parcoords\\\")[0];e.length&&a(t,e)},r.clean=function(t,e,r,n){var i=n._has&&n._has(\\\"parcoords\\\"),a=e._has&&e._has(\\\"parcoords\\\");i&&!a&&(n._paperdiv.selectAll(\\\".parcoords\\\").remove(),n._glimages.selectAll(\\\"*\\\").remove())},r.toSVG=function(t){var e=t._fullLayout._glimages,r=n.select(t).selectAll(\\\".svg-container\\\");r.filter((function(t,e){return e===r.size()-1})).selectAll(\\\".gl-canvas-context, .gl-canvas-focus\\\").each((function(){var t=this.toDataURL(\\\"image/png\\\");e.append(\\\"svg:image\\\").attr({xmlns:o.svg,\\\"xlink:href\\\":t,preserveAspectRatio:\\\"none\\\",x:0,y:0,width:this.width,height:this.height})})),window.setTimeout((function(){n.selectAll(\\\"#filterBarPattern\\\").attr(\\\"id\\\",\\\"filterBarPattern\\\")}),60)}},{\\\"../../constants/xmlns_namespaces\\\":772,\\\"../../plots/get_data\\\":882,\\\"./plot\\\":1183,\\\"@plotly/d3\\\":58}],1175:[function(t,e,r){\\\"use strict\\\";var n=t(\\\"../../lib\\\").isArrayOrTypedArray,i=t(\\\"../../components/colorscale\\\"),a=t(\\\"../../lib/gup\\\").wrap;e.exports=function(t,e){var r,o;return i.hasColorscale(e,\\\"line\\\")&&n(e.line.color)?(r=e.line.color,o=i.extractOpts(e.line).colorscale,i.calc(t,e,{vals:r,containerStr:\\\"line\\\",cLetter:\\\"c\\\"})):(r=function(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=.5;return 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strict\\\";var n=t(\\\"../../lib\\\"),i=t(\\\"../../components/colorscale/helpers\\\").hasColorscale,a=t(\\\"../../components/colorscale/defaults\\\"),o=t(\\\"../../plots/domain\\\").defaults,s=t(\\\"../../plots/array_container_defaults\\\"),l=t(\\\"../../plots/cartesian/axes\\\"),c=t(\\\"./attributes\\\"),u=t(\\\"./axisbrush\\\"),f=t(\\\"./constants\\\").maxDimensionCount,h=t(\\\"./merge_length\\\");function p(t,e,r,i){function a(r,i){return n.coerce(t,e,c.dimensions,r,i)}var o=a(\\\"values\\\"),s=a(\\\"visible\\\");if(o&&o.length||(s=e.visible=!1),s){a(\\\"label\\\"),a(\\\"tickvals\\\"),a(\\\"ticktext\\\"),a(\\\"tickformat\\\");var f=a(\\\"range\\\");e._ax={_id:\\\"y\\\",type:\\\"linear\\\",showexponent:\\\"all\\\",exponentformat:\\\"B\\\",range:f},l.setConvert(e._ax,i.layout),a(\\\"multiselect\\\");var h=a(\\\"constraintrange\\\");h&&(e.constraintrange=u.cleanRanges(h,e))}}e.exports=function(t,e,r,l){function u(r,i){return n.coerce(t,e,c,r,i)}var d=t.dimensions;Array.isArray(d)&&d.length>f&&(n.log(\\\"parcoords traces support up to \\\"+f+\\\" dimensions at the moment\\\"),d.splice(f));var m=s(t,e,{name:\\\"dimensions\\\",layout:l,handleItemDefaults:p}),g=function(t,e,r,o,s){var l=s(\\\"line.color\\\",r);if(i(t,\\\"line\\\")&&n.isArrayOrTypedArray(l)){if(l.length)return s(\\\"line.colorscale\\\"),a(t,e,o,s,{prefix:\\\"line.\\\",cLetter:\\\"c\\\"}),l.length;e.line.color=r}return 1/0}(t,e,r,l,u);o(e,l,u),Array.isArray(m)&&m.length||(e.visible=!1),h(e,m,\\\"values\\\",g);var 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vOutside(vec4 p, vec4 lo, vec4 hi) {\\\\n    return (\\\\n        fOutside(p[0], lo[0], hi[0]) ||\\\\n        fOutside(p[1], lo[1], hi[1]) ||\\\\n        fOutside(p[2], lo[2], hi[2]) ||\\\\n        fOutside(p[3], lo[3], hi[3])\\\\n    );\\\\n}\\\\n\\\\nbool mOutside(mat4 p, mat4 lo, mat4 hi) {\\\\n    return (\\\\n        vOutside(p[0], lo[0], hi[0]) ||\\\\n        vOutside(p[1], lo[1], hi[1]) ||\\\\n        vOutside(p[2], lo[2], hi[2]) ||\\\\n        vOutside(p[3], lo[3], hi[3])\\\\n    );\\\\n}\\\\n\\\\nbool outsideBoundingBox(mat4 A, mat4 B, mat4 C, mat4 D) {\\\\n    return mOutside(A, loA, hiA) ||\\\\n           mOutside(B, loB, hiB) ||\\\\n           mOutside(C, loC, hiC) ||\\\\n           mOutside(D, loD, hiD);\\\\n}\\\\n\\\\nbool outsideRasterMask(mat4 A, mat4 B, mat4 C, mat4 D) {\\\\n    mat4 pnts[4];\\\\n    pnts[0] = A;\\\\n    pnts[1] = B;\\\\n    pnts[2] = C;\\\\n    pnts[3] = D;\\\\n\\\\n    for(int i = 0; i < 4; ++i) {\\\\n        for(int j = 0; j < 4; ++j) {\\\\n         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a=t._gl;a.enable(a.SCISSOR_TEST),a.scissor(e,r,n,i),t.clear({color:[0,0,0,0],depth:1})}function h(t,e,r,n,i,a){var o=a.key;r.drawCompleted||(!function(t){t.read({x:0,y:0,width:1,height:1,data:l})}(t),r.drawCompleted=!0),function s(l){var c=Math.min(n,i-l*n);0===l&&(window.cancelAnimationFrame(r.currentRafs[o]),delete r.currentRafs[o],f(t,a.scissorX,a.scissorY,a.scissorWidth,a.viewBoxSize[1])),r.clearOnly||(a.count=2*c,a.offset=2*l*n,e(a),l*n+c<i&&(r.currentRafs[o]=window.requestAnimationFrame((function(){s(l+1)}))),r.drawCompleted=!1)}(0)}function p(t,e){for(var r=new Array(256),n=0;n<256;n++)r[n]=t(n/255).concat(e);return r}function d(t,e){return(t>>>8*e)%256/255}function m(t,e,r){for(var n=new Array(8*e),i=0,a=0;a<e;a++)for(var o=0;o<2;o++)for(var s=0;s<4;s++){var l=4*t+s,c=r[64*a+l];63===l&&0===o&&(c*=-1),n[i++]=c}return n}function g(t){var e=\\\"0\\\"+t;return e.substr(e.length-2)}function v(t){return t<o?\\\"p\\\"+g(t+1)+\\\"_\\\"+g(t+4):\\\"colors\\\"}function y(t,e,r,n,i,a,o,l,c,u,f,h,p){for(var d=[[],[]],m=0;m<64;m++)d[0][m]=m===i?1:0,d[1][m]=m===a?1:0;var g=t.lines.canvasOverdrag,v=t.domain,y=t.canvasWidth,x=t.canvasHeight,b=t.deselectedLines.color;return s.extendFlat({key:f,resolution:[y,x],viewBoxPos:[o+g,l],viewBoxSize:[c,u],i0:i,i1:a,dim0A:d[0].slice(0,16),dim0B:d[0].slice(16,32),dim0C:d[0].slice(32,48),dim0D:d[0].slice(48,64),dim1A:d[1].slice(0,16),dim1B:d[1].slice(16,32),dim1C:d[1].slice(32,48),dim1D:d[1].slice(48,64),drwLayer:h,contextColor:[b[0]/255,b[1]/255,b[2]/255,b[3]<1?b[3]:Math.max(1/255,Math.pow(1/t.lines.color.length,1/3))],scissorX:(n===e?0:o+g)+(t.pad.l-g)+t.layoutWidth*v.x[0],scissorWidth:(n===r?y-o+g:c+.5)+(n===e?o+g:0),scissorY:l+t.pad.b+t.layoutHeight*v.y[0],scissorHeight:u,viewportX:t.pad.l-g+t.layoutWidth*v.x[0],viewportY:t.pad.b+t.layoutHeight*v.y[0],viewportWidth:y,viewportHeight:x},p)}function x(t){var e=Math.max(0,Math.floor(2047*t[0]),0),r=Math.min(2047,Math.ceil(2047*t[1]),2047);return[Math.min(e,r),Math.max(e,r)]}e.exports=function(t,e){var r,n,l,g,b,_=e.context,w=e.pick,T=e.regl,k={currentRafs:{},drawCompleted:!0,clearOnly:!1},M=function(t){for(var e={},r=0;r<=o;r+=4)e[v(r)]=t.buffer({usage:\\\"dynamic\\\",type:\\\"float\\\",data:new Uint8Array(0)});return e}(T),A=T.texture(u),S=[];L(e);var E=T({profile:!1,blend:{enable:_,func:{srcRGB:\\\"src alpha\\\",dstRGB:\\\"one minus src 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L(t){r=t.model,n=t.viewModel,l=n.dimensions.slice(),g=l[0]?l[0].values.length:0;var e=r.lines,i=w?e.color.map((function(t,r){return r/e.color.length})):e.color,a=function(t,e,r){for(var n,i=new Array(t*(o+4)),a=0,s=0;s<t;s++){for(var l=0;l<o;l++)i[a++]=l<e.length?e[l].paddedUnitValues[s]:.5;i[a++]=d(s,2),i[a++]=d(s,1),i[a++]=d(s,0),i[a++]=(n=r[s],Math.max(1e-6,Math.min(.999999,n)))}return i}(g,l,i);!function(t,e,r){for(var n=0;n<=o;n+=4)t[v(n)](m(n/4,e,r))}(M,g,a),_||w||(A=T.texture(s.extendFlat({data:p(r.unitToColor,255)},u)))}return{render:function(t,e,n){var i,a,o,s=t.length,c=1/0,u=-1/0;for(i=0;i<s;i++)t[i].dim0.canvasX<c&&(c=t[i].dim0.canvasX,a=i),t[i].dim1.canvasX>u&&(u=t[i].dim1.canvasX,o=i);0===s&&f(T,0,0,r.canvasWidth,r.canvasHeight);var p=function(t){var e,r,n,i=[[],[]];for(n=0;n<64;n++){var a=!t&&n<l.length?l[n].brush.filter.getBounds():[-1/0,1/0];i[0][n]=a[0],i[1][n]=a[1]}var o=new Array(16384);for(e=0;e<16384;e++)o[e]=255;if(!t)for(e=0;e<l.length;e++){var s=e%8,c=(e-s)/8,u=Math.pow(2,s),f=l[e].brush.filter.get();if(!(f.length<2)){var h=x(f[0])[1];for(r=1;r<f.length;r++){var p=x(f[r]);for(n=h+1;n<p[0];n++)o[8*n+c]&=~u;h=Math.max(h,p[1])}}}var d={shape:[8,2048],format:\\\"alpha\\\",type:\\\"uint8\\\",mag:\\\"nearest\\\",min:\\\"nearest\\\",data:o};return b?b(d):b=T.texture(d),{maskTexture:b,maskHeight:2048,loA:i[0].slice(0,16),loB:i[0].slice(16,32),loC:i[0].slice(32,48),loD:i[0].slice(48,64),hiA:i[1].slice(0,16),hiB:i[1].slice(16,32),hiC:i[1].slice(32,48),hiD:i[1].slice(48,64)}}(_);for(i=0;i<s;i++){var d=t[i],m=d.dim0.crossfilterDimensionIndex,v=d.dim1.crossfilterDimensionIndex,M=d.canvasX,A=d.canvasY,L=M+d.panelSizeX;if(e||!S[m]||S[m][0]!==M||S[m][1]!==L){S[m]=[M,L];var C=y(r,a,o,i,m,v,M,A,d.panelSizeX,d.panelSizeY,d.dim0.crossfilterDimensionIndex,_?0:w?2:1,p);k.clearOnly=n;var P=e?r.lines.blockLineCount:g;h(T,E,k,P,g,C)}}},readPixel:function(t,e){return T.read({x:t,y:e,width:1,height:1,data:c}),c},readPixels:function(t,e,r,n){var i=new Uint8Array(4*r*n);return T.read({x:t,y:e,width:r,height:n,data:i}),i},destroy:function(){for(var e in t.style[\\\"pointer-events\\\"]=\\\"none\\\",A.destroy(),b&&b.destroy(),M)M[e].destroy()},update:L}}},{\\\"../../lib\\\":795,\\\"./constants\\\":1176,glslify:434}],1181:[function(t,e,r){\\\"use strict\\\";e.exports=function(t,e,r,n){var i,a;for(n||(n=1/0),i=0;i<e.length;i++)(a=e[i]).visible&&(n=Math.min(n,a[r].length));for(n===1/0&&(n=0),t._length=n,i=0;i<e.length;i++)(a=e[i]).visible&&(a._length=n);return n}},{}],1182:[function(t,e,r){\\\"use strict\\\";var n=t(\\\"@plotly/d3\\\"),i=t(\\\"color-rgba\\\"),a=t(\\\"../../plots/cartesian/axes\\\"),o=t(\\\"../../lib\\\"),s=o.strRotate,l=o.strTranslate,c=t(\\\"../../lib/svg_text_utils\\\"),u=t(\\\"../../components/drawing\\\"),f=t(\\\"../../components/colorscale\\\"),h=t(\\\"../../lib/gup\\\"),p=h.keyFun,d=h.repeat,m=h.unwrap,g=t(\\\"./helpers\\\"),v=t(\\\"./constants\\\"),y=t(\\\"./axisbrush\\\"),x=t(\\\"./lines\\\");function b(t,e,r){return o.aggNums(t,null,e,r)}function _(t,e){return T(b(Math.min,t,e),b(Math.max,t,e))}function w(t){var e=t.range;return e?T(e[0],e[1]):_(t.values,t._length)}function T(t,e){return!isNaN(t)&&isFinite(t)||(t=0),!isNaN(e)&&isFinite(e)||(e=0),t===e&&(0===t?(t-=1,e+=1):(t*=.9,e*=1.1)),[t,e]}function k(t,e,r,i,a){var o,s,l=w(r);return i?n.scale.ordinal().domain(i.map((o=n.format(r.tickformat),s=a,s?function(t,e){var r=s[e];return null==r?o(t):r}:o))).range(i.map((function(r){var n=(r-l[0])/(l[1]-l[0]);return t-e+n*(2*e-t)}))):n.scale.linear().domain(l).range([t-e,e])}function M(t){if(t.tickvals){var e=w(t);return n.scale.ordinal().domain(t.tickvals).range(t.tickvals.map((function(t){return(t-e[0])/(e[1]-e[0])})))}}function A(t){var e=t.map((function(t){return t[0]})),r=t.map((function(t){var e=i(t[1]);return n.rgb(\\\"rgb(\\\"+e[0]+\\\",\\\"+e[1]+\\\",\\\"+e[2]+\\\")\\\")})),a=\\\"rgb\\\".split(\\\"\\\").map((function(t){return 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a=m(e),s=a.trace,l=g.convertTypedArray(a.lineColor),c=s.line,u={color:i(v.deselectedLineColor)},h=f.extractOpts(c),p=h.reversescale?f.flipScale(a.cscale):a.cscale,d=s.domain,y=s.dimensions,x=t.width,b=s.labelangle,_=s.labelside,T=s.labelfont,k=s.tickfont,M=s.rangefont,S=o.extendDeepNoArrays({},c,{color:l.map(n.scale.linear().domain(w({values:l,range:[h.min,h.max],_length:s._length}))),blockLineCount:v.blockLineCount,canvasOverdrag:v.overdrag*v.canvasPixelRatio}),E=Math.floor(x*(d.x[1]-d.x[0])),L=Math.floor(t.height*(d.y[1]-d.y[0])),C=t.margin||{l:80,r:80,t:100,b:80},P=E,I=L;return{key:r,colCount:y.filter(g.isVisible).length,dimensions:y,tickDistance:v.tickDistance,unitToColor:A(p),lines:S,deselectedLines:u,labelAngle:b,labelSide:_,labelFont:T,tickFont:k,rangeFont:M,layoutWidth:x,layoutHeight:t.height,domain:d,translateX:d.x[0]*x,translateY:t.height-d.y[1]*t.height,pad:C,canvasWidth:P*v.canvasPixelRatio+2*S.canvasOverdrag,canvasHeight:I*v.canvasPixelRatio,width:P,height:I,canvasPixelRatio:v.canvasPixelRatio}}function 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V=U.selectAll(\\\".\\\"+v.cn.axis).data(d,p);V.enter().append(\\\"g\\\").classed(v.cn.axis,!0),V.each((function(t){var e=t.model.height/t.model.tickDistance,r=t.domainScale,i=r.domain();n.select(this).call(n.svg.axis().orient(\\\"left\\\").tickSize(4).outerTickSize(2).ticks(e,t.tickFormat).tickValues(t.ordinal?i:null).tickFormat((function(e){return g.isOrdinal(t)?e:O(t.model.dimensions[t.visibleIndex],e)})).scale(r)),u.font(V.selectAll(\\\"text\\\"),t.model.tickFont)})),V.selectAll(\\\".domain, .tick>line\\\").attr(\\\"fill\\\",\\\"none\\\").attr(\\\"stroke\\\",\\\"black\\\").attr(\\\"stroke-opacity\\\",.25).attr(\\\"stroke-width\\\",\\\"1px\\\"),V.selectAll(\\\"text\\\").style(\\\"text-shadow\\\",c.makeTextShadow(w)).style(\\\"cursor\\\",\\\"default\\\");var q=U.selectAll(\\\".\\\"+v.cn.axisHeading).data(d,p);q.enter().append(\\\"g\\\").classed(v.cn.axisHeading,!0);var 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n=t(\\\"../../plots/attributes\\\"),i=t(\\\"../../plots/domain\\\").attributes,a=t(\\\"../../plots/font_attributes\\\"),o=t(\\\"../../components/color/attributes\\\"),s=t(\\\"../../plots/template_attributes\\\").hovertemplateAttrs,l=t(\\\"../../plots/template_attributes\\\").texttemplateAttrs,c=t(\\\"../../lib/extend\\\").extendFlat,u=a({editType:\\\"plot\\\",arrayOk:!0,colorEditType:\\\"plot\\\"});e.exports={labels:{valType:\\\"data_array\\\",editType:\\\"calc\\\"},label0:{valType:\\\"number\\\",dflt:0,editType:\\\"calc\\\"},dlabel:{valType:\\\"number\\\",dflt:1,editType:\\\"calc\\\"},values:{valType:\\\"data_array\\\",editType:\\\"calc\\\"},marker:{colors:{valType:\\\"data_array\\\",editType:\\\"calc\\\"},line:{color:{valType:\\\"color\\\",dflt:o.defaultLine,arrayOk:!0,editType:\\\"style\\\"},width:{valType:\\\"number\\\",min:0,dflt:0,arrayOk:!0,editType:\\\"style\\\"},editType:\\\"calc\\\"},editType:\\\"calc\\\"},text:{valType:\\\"data_array\\\",editType:\\\"plot\\\"},hovertext:{valType:\\\"string\\\",dflt:\\\"\\\",arrayOk:!0,editType:\\\"style\\\"},scalegroup:{valType:\\\"string\\\",dflt:\\\"\\\",editType:\\\"calc\\\"},textinfo:{valType:\\\"flaglist\\\",flags:[\\\"label\\\",\\\"text\\\",\\\"value\\\",\\\"percent\\\"],extras:[\\\"none\\\"],editType:\\\"calc\\\"},hoverinfo:c({},n.hoverinfo,{flags:[\\\"label\\\",\\\"text\\\",\\\"value\\\",\\\"percent\\\",\\\"name\\\"]}),hovertemplate:s({},{keys:[\\\"label\\\",\\\"color\\\",\\\"value\\\",\\\"percent\\\",\\\"text\\\"]}),texttemplate:l({editType:\\\"plot\\\"},{keys:[\\\"label\\\",\\\"color\\\",\\\"value\\\",\\\"percent\\\",\\\"text\\\"]}),textposition:{valType:\\\"enumerated\\\",values:[\\\"inside\\\",\\\"outside\\\",\\\"auto\\\",\\\"none\\\"],dflt:\\\"auto\\\",arrayOk:!0,editType:\\\"plot\\\"},textfont:c({},u,{}),insidetextorientation:{valType:\\\"enumerated\\\",values:[\\\"horizontal\\\",\\\"radial\\\",\\\"tangential\\\",\\\"auto\\\"],dflt:\\\"auto\\\",editType:\\\"plot\\\"},insidetextfont:c({},u,{}),outsidetextfont:c({},u,{}),automargin:{valType:\\\"boolean\\\",dflt:!1,editType:\\\"plot\\\"},title:{text:{valType:\\\"string\\\",dflt:\\\"\\\",editType:\\\"plot\\\"},font:c({},u,{}),position:{valType:\\\"enumerated\\\",values:[\\\"top 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a}e.exports={calc:function(t,e){var r,i,a=[],o=t._fullLayout,l=o.hiddenlabels||[],c=e.labels,u=e.marker.colors||[],f=e.values,h=e._length,p=e._hasValues&&h;if(e.dlabel)for(c=new Array(h),r=0;r<h;r++)c[r]=String(e.label0+r*e.dlabel);var d={},m=s(o[\\\"_\\\"+e.type+\\\"colormap\\\"]),g=0,v=!1;for(r=0;r<h;r++){var y,x,b;if(p){if(y=f[r],!n(y))continue;if((y=+y)<0)continue}else y=1;void 0!==(x=c[r])&&\\\"\\\"!==x||(x=r);var _=d[x=String(x)];void 0===_?(d[x]=a.length,(b=-1!==l.indexOf(x))||(g+=y),a.push({v:y,label:x,color:m(u[r],x),i:r,pts:[r],hidden:b})):(v=!0,(i=a[_]).v+=y,i.pts.push(r),i.hidden||(g+=y),!1===i.color&&u[r]&&(i.color=m(u[r],x)))}return(\\\"funnelarea\\\"===e.type?v:e.sort)&&a.sort((function(t,e){return e.v-t.v})),a[0]&&(a[0].vTotal=g),a},crossTraceCalc:function(t,e){var r=(e||{}).type;r||(r=\\\"pie\\\");var n=t._fullLayout,i=t.calcdata,a=n[r+\\\"colorway\\\"],s=n[\\\"_\\\"+r+\\\"colormap\\\"];n[\\\"extend\\\"+r+\\\"colors\\\"]&&(a=l(a,o));for(var c=0,u=0;u<i.length;u++){var f=i[u];if(f[0].trace.type===r)for(var h=0;h<f.length;h++){var p=f[h];!1===p.color&&(s[p.label]?p.color=s[p.label]:(s[p.label]=p.color=a[c%a.length],c++))}}},makePullColorFn:s,generateExtendedColors:l}},{\\\"../../components/color\\\":658,\\\"fast-isnumeric\\\":241,tinycolor2:590}],1187:[function(t,e,r){\\\"use strict\\\";var n=t(\\\"fast-isnumeric\\\"),i=t(\\\"../../lib\\\"),a=t(\\\"./attributes\\\"),o=t(\\\"../../plots/domain\\\").defaults,s=t(\\\"../bar/defaults\\\").handleText;function l(t,e){var r=Array.isArray(t),a=i.isArrayOrTypedArray(e),o=Math.min(r?t.length:1/0,a?e.length:1/0);if(isFinite(o)||(o=0),o&&a){for(var s,l=0;l<o;l++){var c=e[l];if(n(c)&&c>0){s=!0;break}}s||(o=0)}return{hasLabels:r,hasValues:a,len:o}}e.exports={handleLabelsAndValues:l,supplyDefaults:function(t,e,r,n){function c(r,n){return i.coerce(t,e,a,r,n)}var u=l(c(\\\"labels\\\"),c(\\\"values\\\")),f=u.len;if(e._hasLabels=u.hasLabels,e._hasValues=u.hasValues,!e._hasLabels&&e._hasValues&&(c(\\\"label0\\\"),c(\\\"dlabel\\\")),f){e._length=f,c(\\\"marker.line.width\\\")&&c(\\\"marker.line.color\\\"),c(\\\"marker.colors\\\"),c(\\\"scalegroup\\\");var h,p=c(\\\"text\\\"),d=c(\\\"texttemplate\\\");if(d||(h=c(\\\"textinfo\\\",Array.isArray(p)?\\\"text+percent\\\":\\\"percent\\\")),c(\\\"hovertext\\\"),c(\\\"hovertemplate\\\"),d||h&&\\\"none\\\"!==h){var m=c(\\\"textposition\\\");s(t,e,n,c,m,{moduleHasSelected:!1,moduleHasUnselected:!1,moduleHasConstrain:!1,moduleHasCliponaxis:!1,moduleHasTextangle:!1,moduleHasInsideanchor:!1}),(Array.isArray(m)||\\\"auto\\\"===m||\\\"outside\\\"===m)&&c(\\\"automargin\\\"),(\\\"inside\\\"===m||\\\"auto\\\"===m||Array.isArray(m))&&c(\\\"insidetextorientation\\\")}o(e,n,c);var g=c(\\\"hole\\\");if(c(\\\"title.text\\\")){var v=c(\\\"title.position\\\",g?\\\"middle center\\\":\\\"top center\\\");g||\\\"middle center\\\"!==v||(e.title.position=\\\"top center\\\"),i.coerceFont(c,\\\"title.font\\\",n.font)}c(\\\"sort\\\"),c(\\\"direction\\\"),c(\\\"rotation\\\"),c(\\\"pull\\\")}else e.visible=!1}}},{\\\"../../lib\\\":795,\\\"../../plots/domain\\\":872,\\\"../bar/defaults\\\":937,\\\"./attributes\\\":1184,\\\"fast-isnumeric\\\":241}],1188:[function(t,e,r){\\\"use strict\\\";var n=t(\\\"../../components/fx/helpers\\\").appendArrayMultiPointValues;e.exports=function(t,e){var r={curveNumber:e.index,pointNumbers:t.pts,data:e._input,fullData:e,label:t.label,color:t.color,value:t.v,percent:t.percent,text:t.text,v:t.v};return 1===t.pts.length&&(r.pointNumber=r.i=t.pts[0]),n(r,e,t.pts),\\\"funnelarea\\\"===e.type&&(delete r.v,delete r.i),r}},{\\\"../../components/fx/helpers\\\":694}],1189:[function(t,e,r){\\\"use strict\\\";var n=t(\\\"../../lib\\\");function i(t){return-1!==t.indexOf(\\\"e\\\")?t.replace(/[.]?0+e/,\\\"e\\\"):-1!==t.indexOf(\\\".\\\")?t.replace(/[.]?0+$/,\\\"\\\"):t}r.formatPiePercent=function(t,e){var r=i((100*t).toPrecision(3));return n.numSeparate(r,e)+\\\"%\\\"},r.formatPieValue=function(t,e){var r=i(t.toPrecision(10));return n.numSeparate(r,e)},r.getFirstFilled=function(t,e){if(Array.isArray(t))for(var r=0;r<e.length;r++){var n=t[e[r]];if(n||0===n||\\\"\\\"===n)return n}},r.castOption=function(t,e){return Array.isArray(t)?r.getFirstFilled(t,e):t||void 0},r.getRotationAngle=function(t){return(\\\"auto\\\"===t?0:t)*Math.PI/180}},{\\\"../../lib\\\":795}],1190:[function(t,e,r){\\\"use strict\\\";e.exports={attributes:t(\\\"./attributes\\\"),supplyDefaults:t(\\\"./defaults\\\").supplyDefaults,supplyLayoutDefaults:t(\\\"./layout_defaults\\\"),layoutAttributes:t(\\\"./layout_attributes\\\"),calc:t(\\\"./calc\\\").calc,crossTraceCalc:t(\\\"./calc\\\").crossTraceCalc,plot:t(\\\"./plot\\\").plot,style:t(\\\"./style\\\"),styleOne:t(\\\"./style_one\\\"),moduleType:\\\"trace\\\",name:\\\"pie\\\",basePlotModule:t(\\\"./base_plot\\\"),categories:[\\\"pie-like\\\",\\\"pie\\\",\\\"showLegend\\\"],meta:{}}},{\\\"./attributes\\\":1184,\\\"./base_plot\\\":1185,\\\"./calc\\\":1186,\\\"./defaults\\\":1187,\\\"./layout_attributes\\\":1191,\\\"./layout_defaults\\\":1192,\\\"./plot\\\":1193,\\\"./style\\\":1194,\\\"./style_one\\\":1195}],1191:[function(t,e,r){\\\"use strict\\\";e.exports={hiddenlabels:{valType:\\\"data_array\\\",editType:\\\"calc\\\"},piecolorway:{valType:\\\"colorlist\\\",editType:\\\"calc\\\"},extendpiecolors:{valType:\\\"boolean\\\",dflt:!0,editType:\\\"calc\\\"}}},{}],1192:[function(t,e,r){\\\"use strict\\\";var n=t(\\\"../../lib\\\"),i=t(\\\"./layout_attributes\\\");e.exports=function(t,e){function r(r,a){return n.coerce(t,e,i,r,a)}r(\\\"hiddenlabels\\\"),r(\\\"piecolorway\\\",e.colorway),r(\\\"extendpiecolors\\\")}},{\\\"../../lib\\\":795,\\\"./layout_attributes\\\":1191}],1193:[function(t,e,r){\\\"use strict\\\";var n=t(\\\"@plotly/d3\\\"),i=t(\\\"../../plots/plots\\\"),a=t(\\\"../../components/fx\\\"),o=t(\\\"../../components/color\\\"),s=t(\\\"../../components/drawing\\\"),l=t(\\\"../../lib\\\"),c=l.strScale,u=l.strTranslate,f=t(\\\"../../lib/svg_text_utils\\\"),h=t(\\\"../bar/uniform_text\\\"),p=h.recordMinTextSize,d=h.clearMinTextSize,m=t(\\\"../bar/constants\\\").TEXTPAD,g=t(\\\"./helpers\\\"),v=t(\\\"./event_data\\\"),y=t(\\\"../../lib\\\").isValidTextValue;function x(t,e,r){var i=r[0],o=i.trace,s=i.cx,c=i.cy;\\\"_hasHoverLabel\\\"in o||(o._hasHoverLabel=!1),\\\"_hasHoverEvent\\\"in o||(o._hasHoverEvent=!1),t.on(\\\"mouseover\\\",(function(t){var r=e._fullLayout,u=e._fullData[o.index];if(!e._dragging&&!1!==r.hovermode){var f=u.hoverinfo;if(Array.isArray(f)&&(f=a.castHoverinfo({hoverinfo:[g.castOption(f,t.pts)],_module:o._module},r,0)),\\\"all\\\"===f&&(f=\\\"label+text+value+percent+name\\\"),u.hovertemplate||\\\"none\\\"!==f&&\\\"skip\\\"!==f&&f){var h=t.rInscribed||0,p=s+t.pxmid[0]*(1-h),d=c+t.pxmid[1]*(1-h),m=r.separators,y=[];if(f&&-1!==f.indexOf(\\\"label\\\")&&y.push(t.label),t.text=g.castOption(u.hovertext||u.text,t.pts),f&&-1!==f.indexOf(\\\"text\\\")){var x=t.text;l.isValidTextValue(x)&&y.push(x)}t.value=t.v,t.valueLabel=g.formatPieValue(t.v,m),f&&-1!==f.indexOf(\\\"value\\\")&&y.push(t.valueLabel),t.percent=t.v/i.vTotal,t.percentLabel=g.formatPiePercent(t.percent,m),f&&-1!==f.indexOf(\\\"percent\\\")&&y.push(t.percentLabel);var b=u.hoverlabel,_=b.font;a.loneHover({trace:o,x0:p-h*i.r,x1:p+h*i.r,y:d,text:y.join(\\\"<br>\\\"),name:u.hovertemplate||-1!==f.indexOf(\\\"name\\\")?u.name:void 0,idealAlign:t.pxmid[0]<0?\\\"left\\\":\\\"right\\\",color:g.castOption(b.bgcolor,t.pts)||t.color,borderColor:g.castOption(b.bordercolor,t.pts),fontFamily:g.castOption(_.family,t.pts),fontSize:g.castOption(_.size,t.pts),fontColor:g.castOption(_.color,t.pts),nameLength:g.castOption(b.namelength,t.pts),textAlign:g.castOption(b.align,t.pts),hovertemplate:g.castOption(u.hovertemplate,t.pts),hovertemplateLabels:t,eventData:[v(t,u)]},{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:e}),o._hasHoverLabel=!0}o._hasHoverEvent=!0,e.emit(\\\"plotly_hover\\\",{points:[v(t,u)],event:n.event})}})),t.on(\\\"mouseout\\\",(function(t){var r=e._fullLayout,i=e._fullData[o.index],s=n.select(this).datum();o._hasHoverEvent&&(t.originalEvent=n.event,e.emit(\\\"plotly_unhover\\\",{points:[v(s,i)],event:n.event}),o._hasHoverEvent=!1),o._hasHoverLabel&&(a.loneUnhover(r._hoverlayer.node()),o._hasHoverLabel=!1)})),t.on(\\\"click\\\",(function(t){var r=e._fullLayout,i=e._fullData[o.index];e._dragging||!1===r.hovermode||(e._hoverdata=[v(t,i)],a.click(e,n.event))}))}function b(t,e,r){var n=g.castOption(t.insidetextfont.color,e.pts);!n&&t._input.textfont&&(n=g.castOption(t._input.textfont.color,e.pts));var i=g.castOption(t.insidetextfont.family,e.pts)||g.castOption(t.textfont.family,e.pts)||r.family,a=g.castOption(t.insidetextfont.size,e.pts)||g.castOption(t.textfont.size,e.pts)||r.size;return{color:n||o.contrast(e.color),family:i,size:a}}function _(t,e){for(var r,n,i=0;i<t.length;i++)if((n=(r=t[i][0]).trace).title.text){var a=n.title.text;n._meta&&(a=l.templateString(a,n._meta));var o=s.tester.append(\\\"text\\\").attr(\\\"data-notex\\\",1).text(a).call(s.font,n.title.font).call(f.convertToTspans,e),c=s.bBox(o.node(),!0);r.titleBox={width:c.width,height:c.height},o.remove()}}function w(t,e,r){var n=r.r||e.rpx1,i=e.rInscribed;if(e.startangle===e.stopangle)return{rCenter:1-i,scale:0,rotate:0,textPosAngle:0};var a,o=e.ring,s=1===o&&Math.abs(e.startangle-e.stopangle)===2*Math.PI,l=e.halfangle,c=e.midangle,u=r.trace.insidetextorientation,f=\\\"horizontal\\\"===u,h=\\\"tangential\\\"===u,p=\\\"radial\\\"===u,d=\\\"auto\\\"===u,m=[];if(!d){var g,v=function(r,i){if(function(t,e){var r=t.startangle,n=t.stopangle;return r>e&&e>n||r<e&&e<n}(e,r)){var s=Math.abs(r-e.startangle),l=Math.abs(r-e.stopangle),c=s<l?s:l;(a=\\\"tan\\\"===i?k(t,n,o,c,0):T(t,n,o,c,Math.PI/2)).textPosAngle=r,m.push(a)}};if(f||h){for(g=4;g>=-4;g-=2)v(Math.PI*g,\\\"tan\\\");for(g=4;g>=-4;g-=2)v(Math.PI*(g+1),\\\"tan\\\")}if(f||p){for(g=4;g>=-4;g-=2)v(Math.PI*(g+1.5),\\\"rad\\\");for(g=4;g>=-4;g-=2)v(Math.PI*(g+.5),\\\"rad\\\")}}if(s||d||f){var y=Math.sqrt(t.width*t.width+t.height*t.height);if((a={scale:i*n*2/y,rCenter:1-i,rotate:0}).textPosAngle=(e.startangle+e.stopangle)/2,a.scale>=1)return a;m.push(a)}(d||p)&&((a=T(t,n,o,l,c)).textPosAngle=(e.startangle+e.stopangle)/2,m.push(a)),(d||h)&&((a=k(t,n,o,l,c)).textPosAngle=(e.startangle+e.stopangle)/2,m.push(a));for(var x=0,b=0,_=0;_<m.length;_++){var w=m[_].scale;if(b<w&&(b=w,x=_),!d&&b>=1)break}return m[x]}function T(t,e,r,n,i){e=Math.max(0,e-2*m);var a=t.width/t.height,o=S(a,n,e,r);return{scale:2*o/t.height,rCenter:M(a,o/e),rotate:A(i)}}function k(t,e,r,n,i){e=Math.max(0,e-2*m);var a=t.height/t.width,o=S(a,n,e,r);return{scale:2*o/t.width,rCenter:M(a,o/e),rotate:A(i+Math.PI/2)}}function M(t,e){return Math.cos(e)-t*e}function A(t){return(180/Math.PI*t+720)%180-90}function S(t,e,r,n){var i=t+1/(2*Math.tan(e));return r*Math.min(1/(Math.sqrt(i*i+.5)+i),n/(Math.sqrt(t*t+n/2)+t))}function E(t,e){return t.v!==e.vTotal||e.trace.hole?Math.min(1/(1+1/Math.sin(t.halfangle)),t.ring/2):1}function L(t,e){var r=e.pxmid[0],n=e.pxmid[1],i=t.width/2,a=t.height/2;return r<0&&(i*=-1),n<0&&(a*=-1),{scale:1,rCenter:1,rotate:0,x:i+Math.abs(a)*(i>0?1:-1)/2,y:a/(1+r*r/(n*n)),outside:!0}}function C(t,e){var r,n,i,a=t.trace,o={x:t.cx,y:t.cy},s={tx:0,ty:0};s.ty+=a.title.font.size,i=I(a),-1!==a.title.position.indexOf(\\\"top\\\")?(o.y-=(1+i)*t.r,s.ty-=t.titleBox.height):-1!==a.title.position.indexOf(\\\"bottom\\\")&&(o.y+=(1+i)*t.r);var l,c,u=(l=t.r,c=t.trace.aspectratio,l/(void 0===c?1:c)),f=e.w*(a.domain.x[1]-a.domain.x[0])/2;return-1!==a.title.position.indexOf(\\\"left\\\")?(f+=u,o.x-=(1+i)*u,s.tx+=t.titleBox.width/2):-1!==a.title.position.indexOf(\\\"center\\\")?f*=2:-1!==a.title.position.indexOf(\\\"right\\\")&&(f+=u,o.x+=(1+i)*u,s.tx-=t.titleBox.width/2),r=f/t.titleBox.width,n=P(t,e)/t.titleBox.height,{x:o.x,y:o.y,scale:Math.min(r,n),tx:s.tx,ty:s.ty}}function P(t,e){var r=t.trace,n=e.h*(r.domain.y[1]-r.domain.y[0]);return Math.min(t.titleBox.height,n/2)}function I(t){var e,r=t.pull;if(!r)return 0;if(Array.isArray(r))for(r=0,e=0;e<t.pull.length;e++)t.pull[e]>r&&(r=t.pull[e]);return r}function O(t,e){for(var r=[],n=0;n<t.length;n++){var i=t[n][0],a=i.trace,o=a.domain,s=e.w*(o.x[1]-o.x[0]),l=e.h*(o.y[1]-o.y[0]);a.title.text&&\\\"middle center\\\"!==a.title.position&&(l-=P(i,e));var c=s/2,u=l/2;\\\"funnelarea\\\"!==a.type||a.scalegroup||(u/=a.aspectratio),i.r=Math.min(c,u)/(1+I(a)),i.cx=e.l+e.w*(a.domain.x[1]+a.domain.x[0])/2,i.cy=e.t+e.h*(1-a.domain.y[0])-l/2,a.title.text&&-1!==a.title.position.indexOf(\\\"bottom\\\")&&(i.cy-=P(i,e)),a.scalegroup&&-1===r.indexOf(a.scalegroup)&&r.push(a.scalegroup)}!function(t,e){for(var r,n,i,a=0;a<e.length;a++){var o=1/0,s=e[a];for(n=0;n<t.length;n++)if(r=t[n][0],(i=r.trace).scalegroup===s){var l;if(\\\"pie\\\"===i.type)l=r.r*r.r;else if(\\\"funnelarea\\\"===i.type){var c,u;i.aspectratio>1?(c=r.r,u=c/i.aspectratio):(u=r.r,c=u*i.aspectratio),c*=(1+i.baseratio)/2,l=c*u}o=Math.min(o,l/r.vTotal)}for(n=0;n<t.length;n++)if(r=t[n][0],(i=r.trace).scalegroup===s){var f=o*r.vTotal;\\\"funnelarea\\\"===i.type&&(f/=(1+i.baseratio)/2,f/=i.aspectratio),r.r=Math.sqrt(f)}}}(t,r)}function z(t,e){return[t*Math.sin(e),-t*Math.cos(e)]}function D(t,e,r){var n=t._fullLayout,i=r.trace,a=i.texttemplate,o=i.textinfo;if(!a&&o&&\\\"none\\\"!==o){var s,c=o.split(\\\"+\\\"),u=function(t){return-1!==c.indexOf(t)},f=u(\\\"label\\\"),h=u(\\\"text\\\"),p=u(\\\"value\\\"),d=u(\\\"percent\\\"),m=n.separators;if(s=f?[e.label]:[],h){var v=g.getFirstFilled(i.text,e.pts);y(v)&&s.push(v)}p&&s.push(g.formatPieValue(e.v,m)),d&&s.push(g.formatPiePercent(e.v/r.vTotal,m)),e.text=s.join(\\\"<br>\\\")}if(a){var x=l.castOption(i,e.i,\\\"texttemplate\\\");if(x){var b=function(t){return{label:t.label,value:t.v,valueLabel:g.formatPieValue(t.v,n.separators),percent:t.v/r.vTotal,percentLabel:g.formatPiePercent(t.v/r.vTotal,n.separators),color:t.color,text:t.text,customdata:l.castOption(i,t.i,\\\"customdata\\\")}}(e),_=g.getFirstFilled(i.text,e.pts);(y(_)||\\\"\\\"===_)&&(b.text=_),e.text=l.texttemplateString(x,b,t._fullLayout._d3locale,b,i._meta||{})}else e.text=\\\"\\\"}}function R(t,e){var r=t.rotate*Math.PI/180,n=Math.cos(r),i=Math.sin(r),a=(e.left+e.right)/2,o=(e.top+e.bottom)/2;t.textX=a*n-o*i,t.textY=a*i+o*n,t.noCenter=!0}e.exports={plot:function(t,e){var r=t._fullLayout,a=r._size;d(\\\"pie\\\",r),_(e,t),O(e,a);var h=l.makeTraceGroups(r._pielayer,e,\\\"trace\\\").each((function(e){var h=n.select(this),d=e[0],m=d.trace;!function(t){var e,r,n,i=t[0],a=i.r,o=i.trace,s=g.getRotationAngle(o.rotation),l=2*Math.PI/i.vTotal,c=\\\"px0\\\",u=\\\"px1\\\";if(\\\"counterclockwise\\\"===o.direction){for(e=0;e<t.length&&t[e].hidden;e++);if(e===t.length)return;s+=l*t[e].v,l*=-1,c=\\\"px1\\\",u=\\\"px0\\\"}for(n=z(a,s),e=0;e<t.length;e++)(r=t[e]).hidden||(r[c]=n,r.startangle=s,s+=l*r.v/2,r.pxmid=z(a,s),r.midangle=s,s+=l*r.v/2,n=z(a,s),r.stopangle=s,r[u]=n,r.largeArc=r.v>i.vTotal/2?1:0,r.halfangle=Math.PI*Math.min(r.v/i.vTotal,.5),r.ring=1-o.hole,r.rInscribed=E(r,i))}(e),h.attr(\\\"stroke-linejoin\\\",\\\"round\\\"),h.each((function(){var v=n.select(this).selectAll(\\\"g.slice\\\").data(e);v.enter().append(\\\"g\\\").classed(\\\"slice\\\",!0),v.exit().remove();var y=[[[],[]],[[],[]]],_=!1;v.each((function(i,a){if(i.hidden)n.select(this).selectAll(\\\"path,g\\\").remove();else{i.pointNumber=i.i,i.curveNumber=m.index,y[i.pxmid[1]<0?0:1][i.pxmid[0]<0?0:1].push(i);var 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S=g.castOption(m.textposition,i.pts),E=u.selectAll(\\\"g.slicetext\\\").data(i.text&&\\\"none\\\"!==S?[0]:[]);E.enter().append(\\\"g\\\").classed(\\\"slicetext\\\",!0),E.exit().remove(),E.each((function(){var u=l.ensureSingle(n.select(this),\\\"text\\\",\\\"\\\",(function(t){t.attr(\\\"data-notex\\\",1)})),h=l.ensureUniformFontSize(t,\\\"outside\\\"===S?function(t,e,r){var n=g.castOption(t.outsidetextfont.color,e.pts)||g.castOption(t.textfont.color,e.pts)||r.color,i=g.castOption(t.outsidetextfont.family,e.pts)||g.castOption(t.textfont.family,e.pts)||r.family,a=g.castOption(t.outsidetextfont.size,e.pts)||g.castOption(t.textfont.size,e.pts)||r.size;return{color:n,family:i,size:a}}(m,i,r.font):b(m,i,r.font));u.text(i.text).attr({class:\\\"slicetext\\\",transform:\\\"\\\",\\\"text-anchor\\\":\\\"middle\\\"}).call(s.font,h).call(f.convertToTspans,t);var v,y=s.bBox(u.node());if(\\\"outside\\\"===S)v=L(y,i);else if(v=w(y,i,d),\\\"auto\\\"===S&&v.scale<1){var 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n=t(\\\"gl-pointcloud2d\\\"),i=t(\\\"../../lib/str2rgbarray\\\"),a=t(\\\"../../plots/cartesian/autorange\\\").findExtremes,o=t(\\\"../scatter/get_trace_color\\\");function s(t,e){this.scene=t,this.uid=e,this.type=\\\"pointcloud\\\",this.pickXData=[],this.pickYData=[],this.xData=[],this.yData=[],this.textLabels=[],this.color=\\\"rgb(0, 0, 0)\\\",this.name=\\\"\\\",this.hoverinfo=\\\"all\\\",this.idToIndex=new Int32Array(0),this.bounds=[0,0,0,0],this.pointcloudOptions={positions:new Float32Array(0),idToIndex:this.idToIndex,sizemin:.5,sizemax:12,color:[0,0,0,1],areaRatio:1,borderColor:[0,0,0,1]},this.pointcloud=n(t.glplot,this.pointcloudOptions),this.pointcloud._trace=this}var l=s.prototype;l.handlePick=function(t){var e=this.idToIndex[t.pointId];return{trace:this,dataCoord:t.dataCoord,traceCoord:this.pickXYData?[this.pickXYData[2*e],this.pickXYData[2*e+1]]:[this.pickXData[e],this.pickYData[e]],textLabel:Array.isArray(this.textLabels)?this.textLabels[e]:this.textLabels,color:this.color,name:this.name,pointIndex:e,hoverinfo:this.hoverinfo}},l.update=function(t){this.index=t.index,this.textLabels=t.text,this.name=t.name,this.hoverinfo=t.hoverinfo,this.bounds=[1/0,1/0,-1/0,-1/0],this.updateFast(t),this.color=o(t,{})},l.updateFast=function(t){var e,r,n,o,s,l,c=this.xData=this.pickXData=t.x,u=this.yData=this.pickYData=t.y,f=this.pickXYData=t.xy,h=t.xbounds&&t.ybounds,p=t.indices,d=this.bounds;if(f){if(n=f,e=f.length>>>1,h)d[0]=t.xbounds[0],d[2]=t.xbounds[1],d[1]=t.ybounds[0],d[3]=t.ybounds[1];else for(l=0;l<e;l++)o=n[2*l],s=n[2*l+1],o<d[0]&&(d[0]=o),o>d[2]&&(d[2]=o),s<d[1]&&(d[1]=s),s>d[3]&&(d[3]=s);if(p)r=p;else for(r=new Int32Array(e),l=0;l<e;l++)r[l]=l}else for(e=c.length,n=new Float32Array(2*e),r=new 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e,r;t.circular?(e=(t.circularPathData.leftInnerExtent+t.circularPathData.rightInnerExtent)/2,r=t.circularPathData.verticalFullExtent):(e=(t.source.x1+t.target.x0)/2,r=(t.y0+t.y1)/2);var n=[e,r];return\\\"v\\\"===t.trace.orientation&&n.reverse(),n[0]+=i.parent.translateX,n[1]+=i.parent.translateY,n}},unhover:function(e,i,o){!1!==t._fullLayout.hovermode&&(n.select(e).call(x.bind(0,i,o,!0)),\\\"skip\\\"!==i.link.trace.link.hoverinfo&&(i.link.fullData=i.link.trace,t.emit(\\\"plotly_unhover\\\",{event:n.event,points:[i.link]})),a.loneUnhover(r._hoverlayer.node()))},select:function(e,r){var i=r.link;i.originalEvent=n.event,t._hoverdata=[i],a.click(t,{target:!0})}},nodeEvents:{hover:function(e,r,i){!1!==t._fullLayout.hovermode&&(n.select(e).call(g,r,i),\\\"skip\\\"!==r.node.trace.node.hoverinfo&&(r.node.fullData=r.node.trace,t.emit(\\\"plotly_hover\\\",{event:n.event,points:[r.node]})))},follow:function(e,i){if(!1!==t._fullLayout.hovermode){var 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n,i=y(e),a=i.trace,u=a.domain,f=\\\"h\\\"===a.orientation,p=a.node.pad,d=a.node.thickness,m=t.width*(u.x[1]-u.x[0]),g=t.height*(u.y[1]-u.y[0]),v=i._nodes,x=i._links,b=i.circular;(n=b?s.sankeyCircular().circularLinkGap(0):o.sankey()).iterations(l.sankeyIterations).size(f?[m,g]:[g,m]).nodeWidth(d).nodePadding(p).nodeId((function(t){return t.pointNumber})).nodes(v).links(x);var _,w,T,k=n();for(var M in n.nodePadding()<p&&h.warn(\\\"node.pad was reduced to \\\",n.nodePadding(),\\\" to fit within the figure.\\\"),i._groupLookup){var A,S=parseInt(i._groupLookup[M]);for(_=0;_<k.nodes.length;_++)if(k.nodes[_].pointNumber===S){A=k.nodes[_];break}if(A){var E={pointNumber:parseInt(M),x0:A.x0,x1:A.x1,y0:A.y0,y1:A.y1,partOfGroup:!0,sourceLinks:[],targetLinks:[]};k.nodes.unshift(E),A.childrenNodes.unshift(E)}}if(function(){for(_=0;_<k.nodes.length;_++){var t,e,r=k.nodes[_],n={};for(w=0;w<r.targetLinks.length;w++)t=(e=r.targetLinks[w]).source.pointNumber+\\\":\\\"+e.target.pointNumber,n.hasOwnProperty(t)||(n[t]=[]),n[t].push(e);var i=Object.keys(n);for(w=0;w<i.length;w++){var a=n[t=i[w]],o=0,s={};for(T=0;T<a.length;T++)s[(e=a[T]).label]||(s[e.label]=0),s[e.label]+=e.value,o+=e.value;for(T=0;T<a.length;T++)(e=a[T]).flow={value:o,labelConcentration:s[e.label]/o,concentration:e.value/o,links:a},e.concentrationscale&&(e.color=c(e.concentrationscale(e.flow.labelConcentration)))}var l=0;for(w=0;w<r.sourceLinks.length;w++)l+=r.sourceLinks[w].value;for(w=0;w<r.sourceLinks.length;w++)(e=r.sourceLinks[w]).concentrationOut=e.value/l;var u=0;for(w=0;w<r.targetLinks.length;w++)u+=r.targetLinks[w].value;for(w=0;w<r.targetLinks.length;w++)(e=r.targetLinks[w]).concenrationIn=e.value/u}}(),a.node.x.length&&a.node.y.length){for(_=0;_<Math.min(a.node.x.length,a.node.y.length,k.nodes.length);_++)if(a.node.x[_]&&a.node.y[_]){var L=[a.node.x[_]*m,a.node.y[_]*g];k.nodes[_].x0=L[0]-d/2,k.nodes[_].x1=L[0]+d/2;var C=k.nodes[_].y1-k.nodes[_].y0;k.nodes[_].y0=L[1]-C/2,k.nodes[_].y1=L[1]+C/2}if(\\\"snap\\\"===a.arrangement)!function(t){t.forEach((function(t){var e,r,n,i=0,a=t.length;for(t.sort((function(t,e){return t.y0-e.y0})),n=0;n<a;++n)(e=t[n]).y0>=i||(r=i-e.y0)>1e-6&&(e.y0+=r,e.y1+=r),i=e.y1+p}))}(function(t){var e,r,n=t.map((function(t,e){return{x0:t.x0,index:e}})).sort((function(t,e){return t.x0-e.x0})),i=[],a=-1,o=-1/0;for(_=0;_<n.length;_++){var s=t[n[_].index];s.x0>o+d&&(a+=1,e=s.x0),o=s.x0,i[a]||(i[a]=[]),i[a].push(s),r=e-s.x0,s.x0+=r,s.x1+=r}return i}(v=k.nodes));n.update(k)}return{circular:b,key:r,trace:a,guid:h.randstr(),horizontal:f,width:m,height:g,nodePad:a.node.pad,nodeLineColor:a.node.line.color,nodeLineWidth:a.node.line.width,linkLineColor:a.link.line.color,linkLineWidth:a.link.line.width,valueFormat:a.valueformat,valueSuffix:a.valuesuffix,textFont:a.textfont,translateX:u.x[0]*t.width+t.margin.l,translateY:t.height-u.y[1]*t.height+t.margin.t,dragParallel:f?g:m,dragPerpendicular:f?m:g,arrangement:a.arrangement,sankey:n,graph:k,forceLayouts:{},interactionState:{dragInProgress:!1,hovered:!1}}}function M(t,e,r){var n=c(e.color),i=e.source.label+\\\"|\\\"+e.target.label+\\\"__\\\"+r;return e.trace=t.trace,e.curveNumber=t.trace.index,{circular:t.circular,key:i,traceId:t.key,pointNumber:e.pointNumber,link:e,tinyColorHue:u.tinyRGB(n),tinyColorAlpha:n.getAlpha(),linkPath:A,linkLineColor:t.linkLineColor,linkLineWidth:t.linkLineWidth,valueFormat:t.valueFormat,valueSuffix:t.valueSuffix,sankey:t.sankey,parent:t,interactionState:t.interactionState,flow:e.flow}}function A(){return function(t){if(t.link.circular)return e=t.link,r=e.width/2,n=e.circularPathData,\\\"top\\\"===e.circularLinkType?\\\"M \\\"+n.targetX+\\\" \\\"+(n.targetY+r)+\\\" L\\\"+n.rightInnerExtent+\\\" \\\"+(n.targetY+r)+\\\"A\\\"+(n.rightLargeArcRadius+r)+\\\" \\\"+(n.rightSmallArcRadius+r)+\\\" 0 0 1 \\\"+(n.rightFullExtent-r)+\\\" \\\"+(n.targetY-n.rightSmallArcRadius)+\\\"L\\\"+(n.rightFullExtent-r)+\\\" \\\"+n.verticalRightInnerExtent+\\\"A\\\"+(n.rightLargeArcRadius+r)+\\\" \\\"+(n.rightLargeArcRadius+r)+\\\" 0 0 1 \\\"+n.rightInnerExtent+\\\" \\\"+(n.verticalFullExtent-r)+\\\"L\\\"+n.leftInnerExtent+\\\" \\\"+(n.verticalFullExtent-r)+\\\"A\\\"+(n.leftLargeArcRadius+r)+\\\" \\\"+(n.leftLargeArcRadius+r)+\\\" 0 0 1 \\\"+(n.leftFullExtent+r)+\\\" \\\"+n.verticalLeftInnerExtent+\\\"L\\\"+(n.leftFullExtent+r)+\\\" \\\"+(n.sourceY-n.leftSmallArcRadius)+\\\"A\\\"+(n.leftLargeArcRadius+r)+\\\" \\\"+(n.leftSmallArcRadius+r)+\\\" 0 0 1 \\\"+n.leftInnerExtent+\\\" \\\"+(n.sourceY+r)+\\\"L\\\"+n.sourceX+\\\" \\\"+(n.sourceY+r)+\\\"L\\\"+n.sourceX+\\\" \\\"+(n.sourceY-r)+\\\"L\\\"+n.leftInnerExtent+\\\" \\\"+(n.sourceY-r)+\\\"A\\\"+(n.leftLargeArcRadius-r)+\\\" \\\"+(n.leftSmallArcRadius-r)+\\\" 0 0 0 \\\"+(n.leftFullExtent-r)+\\\" \\\"+(n.sourceY-n.leftSmallArcRadius)+\\\"L\\\"+(n.leftFullExtent-r)+\\\" \\\"+n.verticalLeftInnerExtent+\\\"A\\\"+(n.leftLargeArcRadius-r)+\\\" \\\"+(n.leftLargeArcRadius-r)+\\\" 0 0 0 \\\"+n.leftInnerExtent+\\\" \\\"+(n.verticalFullExtent+r)+\\\"L\\\"+n.rightInnerExtent+\\\" \\\"+(n.verticalFullExtent+r)+\\\"A\\\"+(n.rightLargeArcRadius-r)+\\\" \\\"+(n.rightLargeArcRadius-r)+\\\" 0 0 0 \\\"+(n.rightFullExtent+r)+\\\" \\\"+n.verticalRightInnerExtent+\\\"L\\\"+(n.rightFullExtent+r)+\\\" \\\"+(n.targetY-n.rightSmallArcRadius)+\\\"A\\\"+(n.rightLargeArcRadius-r)+\\\" \\\"+(n.rightSmallArcRadius-r)+\\\" 0 0 0 \\\"+n.rightInnerExtent+\\\" \\\"+(n.targetY-r)+\\\"L\\\"+n.targetX+\\\" \\\"+(n.targetY-r)+\\\"Z\\\":\\\"M \\\"+n.targetX+\\\" \\\"+(n.targetY-r)+\\\" L\\\"+n.rightInnerExtent+\\\" \\\"+(n.targetY-r)+\\\"A\\\"+(n.rightLargeArcRadius+r)+\\\" \\\"+(n.rightSmallArcRadius+r)+\\\" 0 0 0 \\\"+(n.rightFullExtent-r)+\\\" \\\"+(n.targetY+n.rightSmallArcRadius)+\\\"L\\\"+(n.rightFullExtent-r)+\\\" \\\"+n.verticalRightInnerExtent+\\\"A\\\"+(n.rightLargeArcRadius+r)+\\\" \\\"+(n.rightLargeArcRadius+r)+\\\" 0 0 0 \\\"+n.rightInnerExtent+\\\" \\\"+(n.verticalFullExtent+r)+\\\"L\\\"+n.leftInnerExtent+\\\" \\\"+(n.verticalFullExtent+r)+\\\"A\\\"+(n.leftLargeArcRadius+r)+\\\" \\\"+(n.leftLargeArcRadius+r)+\\\" 0 0 0 \\\"+(n.leftFullExtent+r)+\\\" \\\"+n.verticalLeftInnerExtent+\\\"L\\\"+(n.leftFullExtent+r)+\\\" \\\"+(n.sourceY+n.leftSmallArcRadius)+\\\"A\\\"+(n.leftLargeArcRadius+r)+\\\" \\\"+(n.leftSmallArcRadius+r)+\\\" 0 0 0 \\\"+n.leftInnerExtent+\\\" \\\"+(n.sourceY-r)+\\\"L\\\"+n.sourceX+\\\" \\\"+(n.sourceY-r)+\\\"L\\\"+n.sourceX+\\\" \\\"+(n.sourceY+r)+\\\"L\\\"+n.leftInnerExtent+\\\" \\\"+(n.sourceY+r)+\\\"A\\\"+(n.leftLargeArcRadius-r)+\\\" \\\"+(n.leftSmallArcRadius-r)+\\\" 0 0 1 \\\"+(n.leftFullExtent-r)+\\\" \\\"+(n.sourceY+n.leftSmallArcRadius)+\\\"L\\\"+(n.leftFullExtent-r)+\\\" \\\"+n.verticalLeftInnerExtent+\\\"A\\\"+(n.leftLargeArcRadius-r)+\\\" \\\"+(n.leftLargeArcRadius-r)+\\\" 0 0 1 \\\"+n.leftInnerExtent+\\\" \\\"+(n.verticalFullExtent-r)+\\\"L\\\"+n.rightInnerExtent+\\\" \\\"+(n.verticalFullExtent-r)+\\\"A\\\"+(n.rightLargeArcRadius-r)+\\\" \\\"+(n.rightLargeArcRadius-r)+\\\" 0 0 1 \\\"+(n.rightFullExtent+r)+\\\" \\\"+n.verticalRightInnerExtent+\\\"L\\\"+(n.rightFullExtent+r)+\\\" \\\"+(n.targetY+n.rightSmallArcRadius)+\\\"A\\\"+(n.rightLargeArcRadius-r)+\\\" \\\"+(n.rightSmallArcRadius-r)+\\\" 0 0 1 \\\"+n.rightInnerExtent+\\\" \\\"+(n.targetY+r)+\\\"L\\\"+n.targetX+\\\" \\\"+(n.targetY+r)+\\\"Z\\\";var e,r,n,a=t.link.source.x1,o=t.link.target.x0,s=i(a,o),l=s(.5),c=s(.5),u=t.link.y0-t.link.width/2,f=t.link.y0+t.link.width/2,h=t.link.y1-t.link.width/2,p=t.link.y1+t.link.width/2;return\\\"M\\\"+a+\\\",\\\"+u+\\\"C\\\"+l+\\\",\\\"+u+\\\" \\\"+c+\\\",\\\"+h+\\\" \\\"+o+\\\",\\\"+h+\\\"L\\\"+o+\\\",\\\"+p+\\\"C\\\"+c+\\\",\\\"+p+\\\" \\\"+l+\\\",\\\"+f+\\\" \\\"+a+\\\",\\\"+f+\\\"Z\\\"}}function S(t,e){var r=c(e.color),n=l.nodePadAcross,i=t.nodePad/2;e.dx=e.x1-e.x0,e.dy=e.y1-e.y0;var a=e.dx,o=Math.max(.5,e.dy),s=\\\"node_\\\"+e.pointNumber;return e.group&&(s=h.randstr()),e.trace=t.trace,e.curveNumber=t.trace.index,{index:e.pointNumber,key:s,partOfGroup:e.partOfGroup||!1,group:e.group,traceId:t.key,trace:t.trace,node:e,nodePad:t.nodePad,nodeLineColor:t.nodeLineColor,nodeLineWidth:t.nodeLineWidth,textFont:t.textFont,size:t.horizontal?t.height:t.width,visibleWidth:Math.ceil(a),visibleHeight:o,zoneX:-n,zoneY:-i,zoneWidth:a+2*n,zoneHeight:o+2*i,labelY:t.horizontal?e.dy/2+1:e.dx/2+1,left:1===e.originalLayer,sizeAcross:t.width,forceLayouts:t.forceLayouts,horizontal:t.horizontal,darkBackground:r.getBrightness()<=128,tinyColorHue:u.tinyRGB(r),tinyColorAlpha:r.getAlpha(),valueFormat:t.valueFormat,valueSuffix:t.valueSuffix,sankey:t.sankey,graph:t.graph,arrangement:t.arrangement,uniqueNodeLabelPathId:[t.guid,t.key,s].join(\\\"_\\\"),interactionState:t.interactionState,figure:t}}function E(t){t.attr(\\\"transform\\\",(function(t){return p(t.node.x0.toFixed(3),t.node.y0.toFixed(3))}))}function L(t){t.call(E)}function C(t,e){t.call(L),e.attr(\\\"d\\\",A())}function P(t){t.attr(\\\"width\\\",(function(t){return t.node.x1-t.node.x0})).attr(\\\"height\\\",(function(t){return t.visibleHeight}))}function I(t){return t.link.width>1||t.linkLineWidth>0}function O(t){return p(t.translateX,t.translateY)+(t.horizontal?\\\"matrix(1 0 0 1 0 0)\\\":\\\"matrix(0 1 1 0 0 0)\\\")}function z(t,e,r){t.on(\\\".basic\\\",null).on(\\\"mouseover.basic\\\",(function(t){t.interactionState.dragInProgress||t.partOfGroup||(r.hover(this,t,e),t.interactionState.hovered=[this,t])})).on(\\\"mousemove.basic\\\",(function(t){t.interactionState.dragInProgress||t.partOfGroup||(r.follow(this,t),t.interactionState.hovered=[this,t])})).on(\\\"mouseout.basic\\\",(function(t){t.interactionState.dragInProgress||t.partOfGroup||(r.unhover(this,t,e),t.interactionState.hovered=!1)})).on(\\\"click.basic\\\",(function(t){t.interactionState.hovered&&(r.unhover(this,t,e),t.interactionState.hovered=!1),t.interactionState.dragInProgress||t.partOfGroup||r.select(this,t,e)}))}function D(t,e,r,i){var o=a.behavior.drag().origin((function(t){return{x:t.node.x0+t.visibleWidth/2,y:t.node.y0+t.visibleHeight/2}})).on(\\\"dragstart\\\",(function(a){if(\\\"fixed\\\"!==a.arrangement&&(h.ensureSingle(i._fullLayout._infolayer,\\\"g\\\",\\\"dragcover\\\",(function(t){i._fullLayout._dragCover=t})),h.raiseToTop(this),a.interactionState.dragInProgress=a.node,F(a.node),a.interactionState.hovered&&(r.nodeEvents.unhover.apply(0,a.interactionState.hovered),a.interactionState.hovered=!1),\\\"snap\\\"===a.arrangement)){var o=a.traceId+\\\"|\\\"+a.key;a.forceLayouts[o]?a.forceLayouts[o].alpha(1):function(t,e,r,i){!function(t){for(var e=0;e<t.length;e++)t[e].y=(t[e].y0+t[e].y1)/2,t[e].x=(t[e].x0+t[e].x1)/2}(r.graph.nodes);var a=r.graph.nodes.filter((function(t){return t.originalX===r.node.originalX})).filter((function(t){return!t.partOfGroup}));r.forceLayouts[e]=n.forceSimulation(a).alphaDecay(0).force(\\\"collide\\\",n.forceCollide().radius((function(t){return t.dy/2+r.nodePad/2})).strength(1).iterations(l.forceIterations)).force(\\\"constrain\\\",function(t,e,r,n){return function(){for(var t=0,i=0;i<r.length;i++){var a=r[i];a===n.interactionState.dragInProgress?(a.x=a.lastDraggedX,a.y=a.lastDraggedY):(a.vx=(a.originalX-a.x)/l.forceTicksPerFrame,a.y=Math.min(n.size-a.dy/2,Math.max(a.dy/2,a.y))),t=Math.max(t,Math.abs(a.vx),Math.abs(a.vy))}!n.interactionState.dragInProgress&&t<.1&&n.forceLayouts[e].alpha()>0&&n.forceLayouts[e].alpha(0)}}(0,e,a,r)).stop()}(0,o,a),function(t,e,r,n,i){window.requestAnimationFrame((function a(){var o;for(o=0;o<l.forceTicksPerFrame;o++)r.forceLayouts[n].tick();if(function(t){for(var e=0;e<t.length;e++)t[e].y0=t[e].y-t[e].dy/2,t[e].y1=t[e].y0+t[e].dy,t[e].x0=t[e].x-t[e].dx/2,t[e].x1=t[e].x0+t[e].dx}(r.graph.nodes),r.sankey.update(r.graph),C(t.filter(B(r)),e),r.forceLayouts[n].alpha()>0)window.requestAnimationFrame(a);else{var s=r.node.originalX;r.node.x0=s-r.visibleWidth/2,r.node.x1=s+r.visibleWidth/2,R(r,i)}}))}(t,e,a,o,i)}})).on(\\\"drag\\\",(function(r){if(\\\"fixed\\\"!==r.arrangement){var n=a.event.x,i=a.event.y;\\\"snap\\\"===r.arrangement?(r.node.x0=n-r.visibleWidth/2,r.node.x1=n+r.visibleWidth/2,r.node.y0=i-r.visibleHeight/2,r.node.y1=i+r.visibleHeight/2):(\\\"freeform\\\"===r.arrangement&&(r.node.x0=n-r.visibleWidth/2,r.node.x1=n+r.visibleWidth/2),i=Math.max(0,Math.min(r.size-r.visibleHeight/2,i)),r.node.y0=i-r.visibleHeight/2,r.node.y1=i+r.visibleHeight/2),F(r.node),\\\"snap\\\"!==r.arrangement&&(r.sankey.update(r.graph),C(t.filter(B(r)),e))}})).on(\\\"dragend\\\",(function(t){if(\\\"fixed\\\"!==t.arrangement){t.interactionState.dragInProgress=!1;for(var e=0;e<t.node.childrenNodes.length;e++)t.node.childrenNodes[e].x=t.node.x,t.node.childrenNodes[e].y=t.node.y;\\\"snap\\\"!==t.arrangement&&R(t,i)}}));t.on(\\\".drag\\\",null).call(o)}function R(t,e){for(var r=[],n=[],i=0;i<t.graph.nodes.length;i++){var a=(t.graph.nodes[i].x0+t.graph.nodes[i].x1)/2,o=(t.graph.nodes[i].y0+t.graph.nodes[i].y1)/2;r.push(a/t.figure.width),n.push(o/t.figure.height)}b.call(\\\"_guiRestyle\\\",e,{\\\"node.x\\\":[r],\\\"node.y\\\":[n]},t.trace.index).then((function(){e._fullLayout._dragCover&&e._fullLayout._dragCover.remove()}))}function F(t){t.lastDraggedX=t.x0+t.dx/2,t.lastDraggedY=t.y0+t.dy/2}function B(t){return function(e){return e.node.originalX===t.node.originalX}}e.exports=function(t,e,r,n,i){var o=!1;h.ensureSingle(t._fullLayout._infolayer,\\\"g\\\",\\\"first-render\\\",(function(){o=!0}));var s=t._fullLayout._dragCover,m=r.filter((function(t){return y(t).trace.visible})).map(k.bind(null,n)),b=e.selectAll(\\\".\\\"+l.cn.sankey).data(m,g);b.exit().remove(),b.enter().append(\\\"g\\\").classed(l.cn.sankey,!0).style(\\\"box-sizing\\\",\\\"content-box\\\").style(\\\"position\\\",\\\"absolute\\\").style(\\\"left\\\",0).style(\\\"shape-rendering\\\",\\\"geometricPrecision\\\").style(\\\"pointer-events\\\",\\\"auto\\\").attr(\\\"transform\\\",O),b.each((function(e,r){t._fullData[r]._sankey=e;var n=\\\"bgsankey-\\\"+e.trace.uid+\\\"-\\\"+r;h.ensureSingle(t._fullLayout._draggers,\\\"rect\\\",n),t._fullData[r]._bgRect=a.select(\\\".\\\"+n),t._fullData[r]._bgRect.style(\\\"pointer-events\\\",\\\"all\\\").attr(\\\"width\\\",e.width).attr(\\\"height\\\",e.height).attr(\\\"x\\\",e.translateX).attr(\\\"y\\\",e.translateY).classed(\\\"bgsankey\\\",!0).style({fill:\\\"transparent\\\",\\\"stroke-width\\\":0})})),b.transition().ease(l.ease).duration(l.duration).attr(\\\"transform\\\",O);var _=b.selectAll(\\\".\\\"+l.cn.sankeyLinks).data(v,g);_.enter().append(\\\"g\\\").classed(l.cn.sankeyLinks,!0).style(\\\"fill\\\",\\\"none\\\");var L=_.selectAll(\\\".\\\"+l.cn.sankeyLink).data((function(t){return t.graph.links.filter((function(t){return t.value})).map(M.bind(null,t))}),g);L.enter().append(\\\"path\\\").classed(l.cn.sankeyLink,!0).call(z,b,i.linkEvents),L.style(\\\"stroke\\\",(function(t){return I(t)?u.tinyRGB(c(t.linkLineColor)):t.tinyColorHue})).style(\\\"stroke-opacity\\\",(function(t){return I(t)?u.opacity(t.linkLineColor):t.tinyColorAlpha})).style(\\\"fill\\\",(function(t){return t.tinyColorHue})).style(\\\"fill-opacity\\\",(function(t){return t.tinyColorAlpha})).style(\\\"stroke-width\\\",(function(t){return I(t)?t.linkLineWidth:1})).attr(\\\"d\\\",A()),L.style(\\\"opacity\\\",(function(){return t._context.staticPlot||o||s?1:0})).transition().ease(l.ease).duration(l.duration).style(\\\"opacity\\\",1),L.exit().transition().ease(l.ease).duration(l.duration).style(\\\"opacity\\\",0).remove();var C=b.selectAll(\\\".\\\"+l.cn.sankeyNodeSet).data(v,g);C.enter().append(\\\"g\\\").classed(l.cn.sankeyNodeSet,!0),C.style(\\\"cursor\\\",(function(t){switch(t.arrangement){case\\\"fixed\\\":return\\\"default\\\";case\\\"perpendicular\\\":return\\\"ns-resize\\\";default:return\\\"move\\\"}}));var R=C.selectAll(\\\".\\\"+l.cn.sankeyNode).data((function(t){var e=t.graph.nodes;return function(t){var e,r=[];for(e=0;e<t.length;e++)t[e].originalX=(t[e].x0+t[e].x1)/2,t[e].originalY=(t[e].y0+t[e].y1)/2,-1===r.indexOf(t[e].originalX)&&r.push(t[e].originalX);for(r.sort((function(t,e){return t-e})),e=0;e<t.length;e++)t[e].originalLayerIndex=r.indexOf(t[e].originalX),t[e].originalLayer=t[e].originalLayerIndex/(r.length-1)}(e),e.map(S.bind(null,t))}),g);R.enter().append(\\\"g\\\").classed(l.cn.sankeyNode,!0).call(E).style(\\\"opacity\\\",(function(e){return!t._context.staticPlot&&!o||e.partOfGroup?0:1})),R.call(z,b,i.nodeEvents).call(D,L,i,t),R.transition().ease(l.ease).duration(l.duration).call(E).style(\\\"opacity\\\",(function(t){return t.partOfGroup?0:1})),R.exit().transition().ease(l.ease).duration(l.duration).style(\\\"opacity\\\",0).remove();var F=R.selectAll(\\\".\\\"+l.cn.nodeRect).data(v);F.enter().append(\\\"rect\\\").classed(l.cn.nodeRect,!0).call(P),F.style(\\\"stroke-width\\\",(function(t){return t.nodeLineWidth})).style(\\\"stroke\\\",(function(t){return u.tinyRGB(c(t.nodeLineColor))})).style(\\\"stroke-opacity\\\",(function(t){return u.opacity(t.nodeLineColor)})).style(\\\"fill\\\",(function(t){return t.tinyColorHue})).style(\\\"fill-opacity\\\",(function(t){return t.tinyColorAlpha})),F.transition().ease(l.ease).duration(l.duration).call(P);var B=R.selectAll(\\\".\\\"+l.cn.nodeLabel).data(v);B.enter().append(\\\"text\\\").classed(l.cn.nodeLabel,!0).style(\\\"cursor\\\",\\\"default\\\"),B.attr(\\\"data-notex\\\",1).text((function(t){return t.node.label})).each((function(e){var r=a.select(this);f.font(r,e.textFont),x.convertToTspans(r,t)})).style(\\\"text-shadow\\\",x.makeTextShadow(t._fullLayout.paper_bgcolor)).attr(\\\"text-anchor\\\",(function(t){return t.horizontal&&t.left?\\\"end\\\":\\\"start\\\"})).attr(\\\"transform\\\",(function(t){var e=a.select(this),r=x.lineCount(e),n=t.textFont.size*((r-1)*T-w),i=t.nodeLineWidth/2+3,o=((t.horizontal?t.visibleHeight:t.visibleWidth)-n)/2;t.horizontal&&(t.left?i=-i:i+=t.visibleWidth);var s=t.horizontal?\\\"\\\":\\\"scale(-1,1)\\\"+d(90);return p(t.horizontal?i:o,t.horizontal?o:i)+s})),B.transition().ease(l.ease).duration(l.duration)}},{\\\"../../components/color\\\":658,\\\"../../components/drawing\\\":680,\\\"../../constants/alignment\\\":763,\\\"../../lib\\\":795,\\\"../../lib/gup\\\":792,\\\"../../lib/svg_text_utils\\\":820,\\\"../../registry\\\":923,\\\"./constants\\\":1203,\\\"@plotly/d3\\\":58,\\\"@plotly/d3-sankey\\\":57,\\\"@plotly/d3-sankey-circular\\\":56,\\\"d3-force\\\":162,\\\"d3-interpolate\\\":164,tinycolor2:590}],1208:[function(t,e,r){\\\"use strict\\\";e.exports=function(t,e){for(var r=[],n=t.cd[0].trace,i=n._sankey.graph.nodes,a=0;a<i.length;a++){var o=i[a];if(!o.partOfGroup){var s=[(o.x0+o.x1)/2,(o.y0+o.y1)/2];\\\"v\\\"===n.orientation&&s.reverse(),e&&e.contains(s,!1,a,t)&&r.push({pointNumber:o.pointNumber})}}return r}},{}],1209:[function(t,e,r){\\\"use strict\\\";var n=t(\\\"../../lib\\\");e.exports=function(t,e){for(var r=0;r<t.length;r++)t[r].i=r;n.mergeArray(e.text,t,\\\"tx\\\"),n.mergeArray(e.texttemplate,t,\\\"txt\\\"),n.mergeArray(e.hovertext,t,\\\"htx\\\"),n.mergeArray(e.customdata,t,\\\"data\\\"),n.mergeArray(e.textposition,t,\\\"tp\\\"),e.textfont&&(n.mergeArrayCastPositive(e.textfont.size,t,\\\"ts\\\"),n.mergeArray(e.textfont.color,t,\\\"tc\\\"),n.mergeArray(e.textfont.family,t,\\\"tf\\\"));var i=e.marker;if(i){n.mergeArrayCastPositive(i.size,t,\\\"ms\\\"),n.mergeArrayCastPositive(i.opacity,t,\\\"mo\\\"),n.mergeArray(i.symbol,t,\\\"mx\\\"),n.mergeArray(i.color,t,\\\"mc\\\");var a=i.line;i.line&&(n.mergeArray(a.color,t,\\\"mlc\\\"),n.mergeArrayCastPositive(a.width,t,\\\"mlw\\\"));var o=i.gradient;o&&\\\"none\\\"!==o.type&&(n.mergeArray(o.type,t,\\\"mgt\\\"),n.mergeArray(o.color,t,\\\"mgc\\\"))}}},{\\\"../../lib\\\":795}],1210:[function(t,e,r){\\\"use strict\\\";var n=t(\\\"../../plots/hoverformat_attributes\\\"),i=t(\\\"../../plots/template_attributes\\\").texttemplateAttrs,a=t(\\\"../../plots/template_attributes\\\").hovertemplateAttrs,o=t(\\\"../../components/colorscale/attributes\\\"),s=t(\\\"../../plots/font_attributes\\\"),l=t(\\\"../../components/drawing/attributes\\\").dash,c=t(\\\"../../components/drawing\\\"),u=t(\\\"./constants\\\"),f=t(\\\"../../lib/extend\\\").extendFlat;e.exports={x:{valType:\\\"data_array\\\",editType:\\\"calc+clearAxisTypes\\\",anim:!0},x0:{valType:\\\"any\\\",dflt:0,editType:\\\"calc+clearAxisTypes\\\",anim:!0},dx:{valType:\\\"number\\\",dflt:1,editType:\\\"calc\\\",anim:!0},y:{valType:\\\"data_array\\\",editType:\\\"calc+clearAxisTypes\\\",anim:!0},y0:{valType:\\\"any\\\",dflt:0,editType:\\\"calc+clearAxisTypes\\\",anim:!0},dy:{valType:\\\"number\\\",dflt:1,editType:\\\"calc\\\",anim:!0},xperiod:{valType:\\\"any\\\",dflt:0,editType:\\\"calc\\\"},yperiod:{valType:\\\"any\\\",dflt:0,editType:\\\"calc\\\"},xperiod0:{valType:\\\"any\\\",editType:\\\"calc\\\"},yperiod0:{valType:\\\"any\\\",editType:\\\"calc\\\"},xperiodalignment:{valType:\\\"enumerated\\\",values:[\\\"start\\\",\\\"middle\\\",\\\"end\\\"],dflt:\\\"middle\\\",editType:\\\"calc\\\"},yperiodalignment:{valType:\\\"enumerated\\\",values:[\\\"start\\\",\\\"middle\\\",\\\"end\\\"],dflt:\\\"middle\\\",editType:\\\"calc\\\"},xhoverformat:n(\\\"x\\\"),yhoverformat:n(\\\"y\\\"),stackgroup:{valType:\\\"string\\\",dflt:\\\"\\\",editType:\\\"calc\\\"},orientation:{valType:\\\"enumerated\\\",values:[\\\"v\\\",\\\"h\\\"],editType:\\\"calc\\\"},groupnorm:{valType:\\\"enumerated\\\",values:[\\\"\\\",\\\"fraction\\\",\\\"percent\\\"],dflt:\\\"\\\",editType:\\\"calc\\\"},stackgaps:{valType:\\\"enumerated\\\",values:[\\\"infer 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r={},n=e._carpet,i=n.ab2ij([t.a,t.b]),a=Math.floor(i[0]),o=i[0]-a,s=Math.floor(i[1]),l=i[1]-s,c=n.evalxy([],a,s,o,l);return r.yLabel=c[1].toFixed(3),r}},{}],1249:[function(t,e,r){\\\"use strict\\\";var n=t(\\\"../scatter/hover\\\"),i=t(\\\"../../lib\\\").fillText;e.exports=function(t,e,r,a){var o=n(t,e,r,a);if(o&&!1!==o[0].index){var s=o[0];if(void 0===s.index){var l=1-s.y0/t.ya._length,c=t.xa._length,u=c*l/2,f=c-u;return s.x0=Math.max(Math.min(s.x0,f),u),s.x1=Math.max(Math.min(s.x1,f),u),o}var h=s.cd[s.index];s.a=h.a,s.b=h.b,s.xLabelVal=void 0,s.yLabelVal=void 0;var p=s.trace,d=p._carpet,m=p._module.formatLabels(h,p);s.yLabel=m.yLabel,delete s.text;var g=[];if(!p.hovertemplate){var v=(h.hi||p.hoverinfo).split(\\\"+\\\");-1!==v.indexOf(\\\"all\\\")&&(v=[\\\"a\\\",\\\"b\\\",\\\"text\\\"]),-1!==v.indexOf(\\\"a\\\")&&y(d.aaxis,h.a),-1!==v.indexOf(\\\"b\\\")&&y(d.baxis,h.b),g.push(\\\"y: \\\"+s.yLabel),-1!==v.indexOf(\\\"text\\\")&&i(h,p,g),s.extraText=g.join(\\\"<br>\\\")}return o}function y(t,e){var r;r=t.labelprefix&&t.labelprefix.length>0?t.labelprefix.replace(/ = $/,\\\"\\\"):t._hovertitle,g.push(r+\\\": \\\"+e.toFixed(3)+t.labelsuffix)}}},{\\\"../../lib\\\":795,\\\"../scatter/hover\\\":1221}],1250:[function(t,e,r){\\\"use 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n=t(\\\"../../plots/template_attributes\\\").hovertemplateAttrs,i=t(\\\"../../plots/template_attributes\\\").texttemplateAttrs,a=t(\\\"../scatter/attributes\\\"),o=t(\\\"../../plots/attributes\\\"),s=t(\\\"../../components/colorscale/attributes\\\"),l=t(\\\"../../components/drawing/attributes\\\").dash,c=t(\\\"../../lib/extend\\\").extendFlat,u=t(\\\"../../plot_api/edit_types\\\").overrideAll,f=a.marker,h=a.line,p=f.line;e.exports=u({lon:{valType:\\\"data_array\\\"},lat:{valType:\\\"data_array\\\"},locations:{valType:\\\"data_array\\\"},locationmode:{valType:\\\"enumerated\\\",values:[\\\"ISO-3\\\",\\\"USA-states\\\",\\\"country 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i={opacity:1,text:e.text,texttemplate:e.texttemplate,textposition:e.textposition,textfont:s.extendFlat({},e.textfont)};r.textfont&&s.extendFlat(i.textfont,r.textfont),n=y(t,i)}return n}function w(t,e){var r={capSize:2*e.width,lineWidth:e.thickness,color:e.color};return e.copy_ystyle&&(r=t.error_y),r}var T=d.SYMBOL_SDF_SIZE,k=d.SYMBOL_SIZE,M=d.SYMBOL_STROKE,A={},S=l.symbolFuncs[0](.05*k);function E(t){if(\\\"circle\\\"===t)return null;var e,r,n=l.symbolNumber(t),a=l.symbolFuncs[n%100],o=!!l.symbolNoDot[n%100],s=!!l.symbolNoFill[n%100],c=p.isDotSymbol(t);return A[t]?A[t]:(e=c&&!o?a(1.1*k)+S:a(k),r=i(e,{w:T,h:T,viewBox:[-k,-k,k,k],stroke:s?M:-M}),A[t]=r,r||null)}e.exports={style:function(t,e){var r,n={marker:void 0,markerSel:void 0,markerUnsel:void 0,line:void 0,fill:void 0,errorX:void 0,errorY:void 0,text:void 0,textSel:void 0,textUnsel:void 0};if(!0!==e.visible)return n;if(f.hasText(e)&&(n.text=y(t,e),n.textSel=_(t,e,e.selected),n.textUnsel=_(t,e,e.unselected)),f.hasMarkers(e)&&(n.marker=x(e),n.markerSel=b(e,e.selected),n.markerUnsel=b(e,e.unselected),!e.unselected&&s.isArrayOrTypedArray(e.marker.opacity))){var i=e.marker.opacity;for(n.markerUnsel.opacity=new Array(i.length),r=0;r<i.length;r++)n.markerUnsel.opacity[r]=m*i[r]}if(f.hasLines(e)){n.line={overlay:!0,thickness:e.line.width,color:e.line.color,opacity:e.opacity};var a=(d.DASHES[e.line.dash]||[1]).slice();for(r=0;r<a.length;++r)a[r]*=e.line.width;n.line.dashes=a}return e.error_x&&e.error_x.visible&&(n.errorX=w(e,e.error_x)),e.error_y&&e.error_y.visible&&(n.errorY=w(e,e.error_y)),e.fill&&\\\"none\\\"!==e.fill&&(n.fill={closed:!0,fill:e.fillcolor,thickness:0}),n},markerStyle:x,markerSelection:b,linePositions:function(t,e,r){var n,i,a=r.length,o=a/2;if(f.hasLines(e)&&o)if(\\\"hv\\\"===e.line.shape){for(n=[],i=0;i<o-1;i++)isNaN(r[2*i])||isNaN(r[2*i+1])?n.push(NaN,NaN,NaN,NaN):(n.push(r[2*i],r[2*i+1]),isNaN(r[2*i+2])||isNaN(r[2*i+3])?n.push(NaN,NaN):n.push(r[2*i+2],r[2*i+1]));n.push(r[a-2],r[a-1])}else if(\\\"hvh\\\"===e.line.shape){for(n=[],i=0;i<o-1;i++)if(isNaN(r[2*i])||isNaN(r[2*i+1])||isNaN(r[2*i+2])||isNaN(r[2*i+3]))isNaN(r[2*i])||isNaN(r[2*i+1])?n.push(NaN,NaN):n.push(r[2*i],r[2*i+1]),n.push(NaN,NaN);else{var s=(r[2*i]+r[2*i+2])/2;n.push(r[2*i],r[2*i+1],s,r[2*i+1],s,r[2*i+3])}n.push(r[a-2],r[a-1])}else if(\\\"vhv\\\"===e.line.shape){for(n=[],i=0;i<o-1;i++)if(isNaN(r[2*i])||isNaN(r[2*i+1])||isNaN(r[2*i+2])||isNaN(r[2*i+3]))isNaN(r[2*i])||isNaN(r[2*i+1])?n.push(NaN,NaN):n.push(r[2*i],r[2*i+1]),n.push(NaN,NaN);else{var l=(r[2*i+1]+r[2*i+3])/2;n.push(r[2*i],r[2*i+1],r[2*i],l,r[2*i+2],l)}n.push(r[a-2],r[a-1])}else if(\\\"vh\\\"===e.line.shape){for(n=[],i=0;i<o-1;i++)isNaN(r[2*i])||isNaN(r[2*i+1])?n.push(NaN,NaN,NaN,NaN):(n.push(r[2*i],r[2*i+1]),isNaN(r[2*i+2])||isNaN(r[2*i+3])?n.push(NaN,NaN):n.push(r[2*i],r[2*i+3]));n.push(r[a-2],r[a-1])}else n=r;var c=!1;for(i=0;i<n.length;i++)if(isNaN(n[i])){c=!0;break}var u=c||n.length>d.TOO_MANY_POINTS||f.hasMarkers(e)?\\\"rect\\\":\\\"round\\\";if(c&&e.connectgaps){var h=n[0],p=n[1];for(i=0;i<n.length;i+=2)isNaN(n[i])||isNaN(n[i+1])?(n[i]=h,n[i+1]=p):(h=n[i],p=n[i+1])}return{join:u,positions:n}},errorBarPositions:function(t,e,r,i,a){var s=o.getComponentMethod(\\\"errorbars\\\",\\\"makeComputeError\\\"),l=c.getFromId(t,e.xaxis),u=c.getFromId(t,e.yaxis),f=r.length/2,h={};function p(t,i){var a=i._id.charAt(0),o=e[\\\"error_\\\"+a];if(o&&o.visible&&(\\\"linear\\\"===i.type||\\\"log\\\"===i.type)){for(var l=s(o),c={x:0,y:1}[a],u={x:[0,1,2,3],y:[2,3,0,1]}[a],p=new Float64Array(4*f),d=1/0,m=-1/0,g=0,v=0;g<f;g++,v+=4){var y=t[g];if(n(y)){var x=r[2*g+c],b=l(y,g),_=b[0],w=b[1];if(n(_)&&n(w)){var T=y-_,k=y+w;p[v+u[0]]=x-i.c2l(T),p[v+u[1]]=i.c2l(k)-x,p[v+u[2]]=0,p[v+u[3]]=0,d=Math.min(d,y-_),m=Math.max(m,y+w)}}}h[a]={positions:r,errors:p,_bnds:[d,m]}}}return p(i,l),p(a,u),h},textPosition:function(t,e,r,n){var i,a=e._length,o={};if(f.hasMarkers(e)){var s=r.font,l=r.align,c=r.baseline;for(o.offset=new Array(a),i=0;i<a;i++){var u=n.sizes?n.sizes[i]:n.size,h=Array.isArray(s)?s[i].size:s.size,p=Array.isArray(l)?l.length>1?l[i]:l[0]:l,d=Array.isArray(c)?c.length>1?c[i]:c[0]:c,m=g[p],v=g[d],y=u?u/.8+1:0,x=-v*y-.5*v;o.offset[i]=[m*y/h,x/h]}}return o}}},{\\\"../../components/drawing\\\":680,\\\"../../components/fx/helpers\\\":694,\\\"../../constants/interactions\\\":770,\\\"../../lib\\\":795,\\\"../../lib/gl_format_color\\\":791,\\\"../../plots/cartesian/axis_ids\\\":848,\\\"../../registry\\\":923,\\\"../scatter/make_bubble_size_func\\\":1227,\\\"../scatter/subtypes\\\":1235,\\\"./constants\\\":1264,\\\"./helpers\\\":1269,\\\"color-normalize\\\":127,\\\"fast-isnumeric\\\":241,\\\"svg-path-sdf\\\":587}],1266:[function(t,e,r){\\\"use strict\\\";var n=t(\\\"../../lib\\\"),i=t(\\\"../../registry\\\"),a=t(\\\"./helpers\\\"),o=t(\\\"./attributes\\\"),s=t(\\\"../scatter/constants\\\"),l=t(\\\"../scatter/subtypes\\\"),c=t(\\\"../scatter/xy_defaults\\\"),u=t(\\\"../scatter/period_defaults\\\"),f=t(\\\"../scatter/marker_defaults\\\"),h=t(\\\"../scatter/line_defaults\\\"),p=t(\\\"../scatter/fillcolor_defaults\\\"),d=t(\\\"../scatter/text_defaults\\\");e.exports=function(t,e,r,m){function g(r,i){return n.coerce(t,e,o,r,i)}var v=!!t.marker&&a.isOpenSymbol(t.marker.symbol),y=l.isBubble(t),x=c(t,e,m,g);if(x){u(t,e,m,g),g(\\\"xhoverformat\\\"),g(\\\"yhoverformat\\\");var b=x<s.PTS_LINESONLY?\\\"lines+markers\\\":\\\"lines\\\";g(\\\"text\\\"),g(\\\"hovertext\\\"),g(\\\"hovertemplate\\\"),g(\\\"mode\\\",b),l.hasLines(e)&&(g(\\\"connectgaps\\\"),h(t,e,r,m,g),g(\\\"line.shape\\\")),l.hasMarkers(e)&&(f(t,e,r,m,g),g(\\\"marker.line.width\\\",v||y?1:0)),l.hasText(e)&&(g(\\\"texttemplate\\\"),d(t,e,m,g));var _=(e.line||{}).color,w=(e.marker||{}).color;g(\\\"fill\\\"),\\\"none\\\"!==e.fill&&p(t,e,r,g);var T=i.getComponentMethod(\\\"errorbars\\\",\\\"supplyDefaults\\\");T(t,e,_||w||r,{axis:\\\"y\\\"}),T(t,e,_||w||r,{axis:\\\"x\\\",inherit:\\\"y\\\"}),n.coerceSelectionMarkerOpacity(e,g)}else e.visible=!1}},{\\\"../../lib\\\":795,\\\"../../registry\\\":923,\\\"../scatter/constants\\\":1214,\\\"../scatter/fillcolor_defaults\\\":1218,\\\"../scatter/line_defaults\\\":1223,\\\"../scatter/marker_defaults\\\":1229,\\\"../scatter/period_defaults\\\":1230,\\\"../scatter/subtypes\\\":1235,\\\"../scatter/text_defaults\\\":1236,\\\"../scatter/xy_defaults\\\":1237,\\\"./attributes\\\":1262,\\\"./helpers\\\":1269}],1267:[function(t,e,r){\\\"use strict\\\";var n=t(\\\"../../lib\\\"),i=t(\\\"../../components/color\\\"),a=t(\\\"../../constants/interactions\\\").DESELECTDIM;e.exports={styleTextSelection:function(t){var e,r,o=t[0],s=o.trace,l=o.t,c=l._scene,u=l.index,f=c.selectBatch[u],h=c.unselectBatch[u],p=c.textOptions[u],d=c.textSelectedOptions[u]||{},m=c.textUnselectedOptions[u]||{},g=n.extendFlat({},p);if(f.length||h.length){var v=d.color,y=m.color,x=p.color,b=Array.isArray(x);for(g.color=new Array(s._length),e=0;e<f.length;e++)r=f[e],g.color[r]=v||(b?x[r]:x);for(e=0;e<h.length;e++){r=h[e];var _=b?x[r]:x;g.color[r]=y||(v?_:i.addOpacity(_,a))}}c.glText[u].update(g)}}},{\\\"../../components/color\\\":658,\\\"../../constants/interactions\\\":770,\\\"../../lib\\\":795}],1268:[function(t,e,r){\\\"use strict\\\";var n=t(\\\"../scatter/format_labels\\\");e.exports=function(t,e,r){var i=t.i;return\\\"x\\\"in t||(t.x=e._x[i]),\\\"y\\\"in t||(t.y=e._y[i]),n(t,e,r)}},{\\\"../scatter/format_labels\\\":1219}],1269:[function(t,e,r){\\\"use strict\\\";var n=t(\\\"./constants\\\");r.isOpenSymbol=function(t){return\\\"string\\\"==typeof t?n.OPEN_RE.test(t):t%200>100},r.isDotSymbol=function(t){return\\\"string\\\"==typeof t?n.DOT_RE.test(t):t>200}},{\\\"./constants\\\":1264}],1270:[function(t,e,r){\\\"use strict\\\";var n=t(\\\"../../registry\\\"),i=t(\\\"../../lib\\\"),a=t(\\\"../scatter/get_trace_color\\\");function o(t,e,r,o){var s=t.xa,l=t.ya,c=t.distance,u=t.dxy,f=t.index,h={pointNumber:f,x:e[f],y:r[f]};h.tx=Array.isArray(o.text)?o.text[f]:o.text,h.htx=Array.isArray(o.hovertext)?o.hovertext[f]:o.hovertext,h.data=Array.isArray(o.customdata)?o.customdata[f]:o.customdata,h.tp=Array.isArray(o.textposition)?o.textposition[f]:o.textposition;var p=o.textfont;p&&(h.ts=i.isArrayOrTypedArray(p.size)?p.size[f]:p.size,h.tc=Array.isArray(p.color)?p.color[f]:p.color,h.tf=Array.isArray(p.family)?p.family[f]:p.family);var d=o.marker;d&&(h.ms=i.isArrayOrTypedArray(d.size)?d.size[f]:d.size,h.mo=i.isArrayOrTypedArray(d.opacity)?d.opacity[f]:d.opacity,h.mx=i.isArrayOrTypedArray(d.symbol)?d.symbol[f]:d.symbol,h.mc=i.isArrayOrTypedArray(d.color)?d.color[f]:d.color);var m=d&&d.line;m&&(h.mlc=Array.isArray(m.color)?m.color[f]:m.color,h.mlw=i.isArrayOrTypedArray(m.width)?m.width[f]:m.width);var g=d&&d.gradient;g&&\\\"none\\\"!==g.type&&(h.mgt=Array.isArray(g.type)?g.type[f]:g.type,h.mgc=Array.isArray(g.color)?g.color[f]:g.color);var v=s.c2p(h.x,!0),y=l.c2p(h.y,!0),x=h.mrc||1,b=o.hoverlabel;b&&(h.hbg=Array.isArray(b.bgcolor)?b.bgcolor[f]:b.bgcolor,h.hbc=Array.isArray(b.bordercolor)?b.bordercolor[f]:b.bordercolor,h.hts=i.isArrayOrTypedArray(b.font.size)?b.font.size[f]:b.font.size,h.htc=Array.isArray(b.font.color)?b.font.color[f]:b.font.color,h.htf=Array.isArray(b.font.family)?b.font.family[f]:b.font.family,h.hnl=i.isArrayOrTypedArray(b.namelength)?b.namelength[f]:b.namelength);var _=o.hoverinfo;_&&(h.hi=Array.isArray(_)?_[f]:_);var w=o.hovertemplate;w&&(h.ht=Array.isArray(w)?w[f]:w);var T={};T[t.index]=h;var k=o._origX,M=o._origY,A=i.extendFlat({},t,{color:a(o,h),x0:v-x,x1:v+x,xLabelVal:k?k[f]:h.x,y0:y-x,y1:y+x,yLabelVal:M?M[f]:h.y,cd:T,distance:c,spikeDistance:u,hovertemplate:h.ht});return h.htx?A.text=h.htx:h.tx?A.text=h.tx:o.text&&(A.text=o.text),i.fillText(h,o,A),n.getComponentMethod(\\\"errorbars\\\",\\\"hoverInfo\\\")(h,o,A),A}e.exports={hoverPoints:function(t,e,r,n){var i,a,s,l,c,u,f,h,p,d=t.cd,m=d[0].t,g=d[0].trace,v=t.xa,y=t.ya,x=m.x,b=m.y,_=v.c2p(e),w=y.c2p(r),T=t.distance;if(m.tree){var k=v.p2c(_-T),M=v.p2c(_+T),A=y.p2c(w-T),S=y.p2c(w+T);i=\\\"x\\\"===n?m.tree.range(Math.min(k,M),Math.min(y._rl[0],y._rl[1]),Math.max(k,M),Math.max(y._rl[0],y._rl[1])):m.tree.range(Math.min(k,M),Math.min(A,S),Math.max(k,M),Math.max(A,S))}else i=m.ids;var E=T;if(\\\"x\\\"===n)for(c=0;c<i.length;c++)s=x[i[c]],u=Math.abs(v.c2p(s)-_),g._origX&&void 0!==g._origX[c]&&(u+=v.c2p(g._origX[c])-v.c2p(s)),u<E&&(E=u,f=y.c2p(b[i[c]])-w,g._origY&&void 0!==g._origY[c]&&(f+=y.c2p(g._origY[c])-y.c2p(l)),p=Math.sqrt(u*u+f*f),a=i[c]);else for(c=i.length-1;c>-1;c--)s=x[i[c]],l=b[i[c]],u=v.c2p(s)-_,f=y.c2p(l)-w,(h=Math.sqrt(u*u+f*f))<E&&(E=p=h,a=i[c]);return t.index=a,t.distance=E,t.dxy=p,void 0===a?[t]:[o(t,x,b,g)]},calcHover:o}},{\\\"../../lib\\\":795,\\\"../../registry\\\":923,\\\"../scatter/get_trace_color\\\":1220}],1271:[function(t,e,r){\\\"use strict\\\";var n=t(\\\"./hover\\\");e.exports={moduleType:\\\"trace\\\",name:\\\"scattergl\\\",basePlotModule:t(\\\"../../plots/cartesian\\\"),categories:[\\\"gl\\\",\\\"regl\\\",\\\"cartesian\\\",\\\"symbols\\\",\\\"errorBarsOK\\\",\\\"showLegend\\\",\\\"scatter-like\\\"],attributes:t(\\\"./attributes\\\"),supplyDefaults:t(\\\"./defaults\\\"),crossTraceDefaults:t(\\\"../scatter/cross_trace_defaults\\\"),colorbar:t(\\\"../scatter/marker_colorbar\\\"),formatLabels:t(\\\"./format_labels\\\"),calc:t(\\\"./calc\\\"),plot:t(\\\"./plot\\\"),hoverPoints:n.hoverPoints,selectPoints:t(\\\"./select\\\"),meta:{}}},{\\\"../../plots/cartesian\\\":858,\\\"../scatter/cross_trace_defaults\\\":1216,\\\"../scatter/marker_colorbar\\\":1228,\\\"./attributes\\\":1262,\\\"./calc\\\":1263,\\\"./defaults\\\":1266,\\\"./format_labels\\\":1268,\\\"./hover\\\":1270,\\\"./plot\\\":1272,\\\"./select\\\":1274}],1272:[function(t,e,r){\\\"use strict\\\";var n=t(\\\"regl-scatter2d\\\"),i=t(\\\"regl-line2d\\\"),a=t(\\\"regl-error2d\\\"),o=t(\\\"gl-text\\\"),s=t(\\\"../../lib\\\"),l=t(\\\"../../components/dragelement/helpers\\\").selectMode,c=t(\\\"../../lib/prepare_regl\\\"),u=t(\\\"../scatter/subtypes\\\"),f=t(\\\"../scatter/link_traces\\\"),h=t(\\\"./edit_style\\\").styleTextSelection;function p(t,e,r){var n=t._size,i=t.width,a=t.height;return[n.l+e.domain[0]*n.w,n.b+r.domain[0]*n.h,i-n.r-(1-e.domain[1])*n.w,a-n.t-(1-r.domain[1])*n.h]}e.exports=function(t,e,r){if(r.length){var d,m,g=t._fullLayout,v=e._scene,y=e.xaxis,x=e.yaxis;if(v)if(c(t,[\\\"ANGLE_instanced_arrays\\\",\\\"OES_element_index_uint\\\"])){var b=v.count,_=g._glcanvas.data()[0].regl;if(f(t,e,r),v.dirty){if(!0===v.error2d&&(v.error2d=a(_)),!0===v.line2d&&(v.line2d=i(_)),!0===v.scatter2d&&(v.scatter2d=n(_,{constPointSize:!0})),!0===v.fill2d&&(v.fill2d=i(_)),!0===v.glText)for(v.glText=new Array(b),d=0;d<b;d++)v.glText[d]=new o(_);if(v.glText){if(b>v.glText.length){var w=b-v.glText.length;for(d=0;d<w;d++)v.glText.push(new o(_))}else if(b<v.glText.length){var T=v.glText.length-b;v.glText.splice(b,T).forEach((function(t){t.destroy()}))}for(d=0;d<b;d++)v.glText[d].update(v.textOptions[d])}if(v.line2d&&(v.line2d.update(v.lineOptions),v.lineOptions=v.lineOptions.map((function(t){if(t&&t.positions){for(var e=t.positions,r=0;r<e.length&&(isNaN(e[r])||isNaN(e[r+1]));)r+=2;for(var n=e.length-2;n>r&&(isNaN(e[n])||isNaN(e[n+1]));)n-=2;t.positions=e.slice(r,n+2)}return t})),v.line2d.update(v.lineOptions)),v.error2d){var k=(v.errorXOptions||[]).concat(v.errorYOptions||[]);v.error2d.update(k)}v.scatter2d&&v.scatter2d.update(v.markerOptions),v.fillOrder=s.repeat(null,b),v.fill2d&&(v.fillOptions=v.fillOptions.map((function(t,e){var n=r[e];if(t&&n&&n[0]&&n[0].trace){var i,a,o=n[0],s=o.trace,l=o.t,c=v.lineOptions[e],u=[];s._ownfill&&u.push(e),s._nexttrace&&u.push(e+1),u.length&&(v.fillOrder[e]=u);var f,h,p=[],d=c&&c.positions||l.positions;if(\\\"tozeroy\\\"===s.fill){for(f=0;f<d.length&&isNaN(d[f+1]);)f+=2;for(h=d.length-2;h>f&&isNaN(d[h+1]);)h-=2;0!==d[f+1]&&(p=[d[f],0]),p=p.concat(d.slice(f,h+2)),0!==d[h+1]&&(p=p.concat([d[h],0]))}else if(\\\"tozerox\\\"===s.fill){for(f=0;f<d.length&&isNaN(d[f]);)f+=2;for(h=d.length-2;h>f&&isNaN(d[h]);)h-=2;0!==d[f]&&(p=[0,d[f+1]]),p=p.concat(d.slice(f,h+2)),0!==d[h]&&(p=p.concat([0,d[h+1]]))}else if(\\\"toself\\\"===s.fill||\\\"tonext\\\"===s.fill){for(p=[],i=0,t.splitNull=!0,a=0;a<d.length;a+=2)(isNaN(d[a])||isNaN(d[a+1]))&&((p=p.concat(d.slice(i,a))).push(d[i],d[i+1]),p.push(null,null),i=a+2);p=p.concat(d.slice(i)),i&&p.push(d[i],d[i+1])}else{var m=s._nexttrace;if(m){var g=v.lineOptions[e+1];if(g){var y=g.positions;if(\\\"tonexty\\\"===s.fill){for(p=d.slice(),e=Math.floor(y.length/2);e--;){var x=y[2*e],b=y[2*e+1];isNaN(x)||isNaN(b)||p.push(x,b)}t.fill=m.fillcolor}}}}if(s._prevtrace&&\\\"tonext\\\"===s._prevtrace.fill){var 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v.init()}}},{\\\"../../components/dragelement/helpers\\\":676,\\\"../../lib\\\":795,\\\"../../lib/prepare_regl\\\":808,\\\"../scatter/link_traces\\\":1226,\\\"../scatter/subtypes\\\":1235,\\\"./edit_style\\\":1267,\\\"gl-text\\\":347,\\\"regl-error2d\\\":528,\\\"regl-line2d\\\":529,\\\"regl-scatter2d\\\":530}],1273:[function(t,e,r){\\\"use strict\\\";var n=t(\\\"../../lib\\\");e.exports=function(t,e){var r=e._scene,i={count:0,dirty:!0,lineOptions:[],fillOptions:[],markerOptions:[],markerSelectedOptions:[],markerUnselectedOptions:[],errorXOptions:[],errorYOptions:[],textOptions:[],textSelectedOptions:[],textUnselectedOptions:[],selectBatch:[],unselectBatch:[]},a={fill2d:!1,scatter2d:!1,error2d:!1,line2d:!1,glText:!1,select2d:!1};return e._scene||((r=e._scene={}).init=function(){n.extendFlat(r,a,i)},r.init(),r.update=function(t){var e=n.repeat(t,r.count);if(r.fill2d&&r.fill2d.update(e),r.scatter2d&&r.scatter2d.update(e),r.line2d&&r.line2d.update(e),r.error2d&&r.error2d.update(e.concat(e)),r.select2d&&r.select2d.update(e),r.glText)for(var i=0;i<r.count;i++)r.glText[i].update(t)},r.draw=function(){for(var t=r.count,e=r.fill2d,i=r.error2d,a=r.line2d,o=r.scatter2d,s=r.glText,l=r.select2d,c=r.selectBatch,u=r.unselectBatch,f=0;f<t;f++){if(e&&r.fillOrder[f]&&e.draw(r.fillOrder[f]),a&&r.lineOptions[f]&&a.draw(f),i&&(r.errorXOptions[f]&&i.draw(f),r.errorYOptions[f]&&i.draw(f+t)),o&&r.markerOptions[f])if(u[f].length){var h=n.repeat([],r.count);h[f]=u[f],o.draw(h)}else 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n=t(\\\"../../plots/template_attributes\\\").hovertemplateAttrs,i=t(\\\"../../plots/template_attributes\\\").texttemplateAttrs,a=t(\\\"../scattergeo/attributes\\\"),o=t(\\\"../scatter/attributes\\\"),s=t(\\\"../../plots/mapbox/layout_attributes\\\"),l=t(\\\"../../plots/attributes\\\"),c=t(\\\"../../components/colorscale/attributes\\\"),u=t(\\\"../../lib/extend\\\").extendFlat,f=t(\\\"../../plot_api/edit_types\\\").overrideAll,h=a.line,p=a.marker;e.exports=f({lon:a.lon,lat:a.lat,mode:u({},o.mode,{dflt:\\\"markers\\\"}),text:u({},o.text,{}),texttemplate:i({editType:\\\"plot\\\"},{keys:[\\\"lat\\\",\\\"lon\\\",\\\"text\\\"]}),hovertext:u({},o.hovertext,{}),line:{color:h.color,width:h.width},connectgaps:o.connectgaps,marker:u({symbol:{valType:\\\"string\\\",dflt:\\\"circle\\\",arrayOk:!0},angle:{valType:\\\"number\\\",dflt:\\\"auto\\\",arrayOk:!0},allowoverlap:{valType:\\\"boolean\\\",dflt:!1},opacity:p.opacity,size:p.size,sizeref:p.sizeref,sizemin:p.sizemin,sizemode:p.sizemode},c(\\\"marker\\\")),fill:a.fill,fillcolor:o.fillcolor,textfont:s.layers.symbol.textfont,textposition:s.layers.symbol.textposition,below:{valType:\\\"string\\\"},selected:{marker:o.selected.marker},unselected:{marker:o.unselected.marker},hoverinfo:u({},l.hoverinfo,{flags:[\\\"lon\\\",\\\"lat\\\",\\\"text\\\",\\\"name\\\"]}),hovertemplate:n()},\\\"calc\\\",\\\"nested\\\")},{\\\"../../components/colorscale/attributes\\\":665,\\\"../../lib/extend\\\":785,\\\"../../plot_api/edit_types\\\":827,\\\"../../plots/attributes\\\":841,\\\"../../plots/mapbox/layout_attributes\\\":905,\\\"../../plots/template_attributes\\\":918,\\\"../scatter/attributes\\\":1210,\\\"../scattergeo/attributes\\\":1252}],1276:[function(t,e,r){\\\"use strict\\\";var n=t(\\\"fast-isnumeric\\\"),i=t(\\\"../../lib\\\"),a=t(\\\"../../constants/numerical\\\").BADNUM,o=t(\\\"../../lib/geojson_utils\\\"),s=t(\\\"../../components/colorscale\\\"),l=t(\\\"../../components/drawing\\\"),c=t(\\\"../scatter/make_bubble_size_func\\\"),u=t(\\\"../scatter/subtypes\\\"),f=t(\\\"../../plots/mapbox/convert_text_opts\\\"),h=t(\\\"../../components/fx/helpers\\\").appendArrayPointValue,p=t(\\\"../../lib/svg_text_utils\\\").NEWLINES,d=t(\\\"../../lib/svg_text_utils\\\").BR_TAG_ALL;function m(){return{geojson:o.makeBlank(),layout:{visibility:\\\"none\\\"},paint:{}}}function g(t,e){return i.isArrayOrTypedArray(t)?e?function(e){return n(t[e])?+t[e]:0}:function(e){return t[e]}:t?function(){return t}:v}function v(){return\\\"\\\"}function y(t){return t[0]===a}e.exports=function(t,e){var r,a=e[0].trace,x=!0===a.visible&&0!==a._length,b=\\\"none\\\"!==a.fill,_=u.hasLines(a),w=u.hasMarkers(a),T=u.hasText(a),k=w&&\\\"circle\\\"===a.marker.symbol,M=w&&\\\"circle\\\"!==a.marker.symbol,A=m(),S=m(),E=m(),L=m(),C={fill:A,line:S,circle:E,symbol:L};if(!x)return C;if((b||_)&&(r=o.calcTraceToLineCoords(e)),b&&(A.geojson=o.makePolygon(r),A.layout.visibility=\\\"visible\\\",i.extendFlat(A.paint,{\\\"fill-color\\\":a.fillcolor})),_&&(S.geojson=o.makeLine(r),S.layout.visibility=\\\"visible\\\",i.extendFlat(S.paint,{\\\"line-width\\\":a.line.width,\\\"line-color\\\":a.line.color,\\\"line-opacity\\\":a.opacity})),k){var P=function(t){var e,r,a,o,u=t[0].trace,f=u.marker,h=u.selectedpoints,p=i.isArrayOrTypedArray(f.color),d=i.isArrayOrTypedArray(f.size),m=i.isArrayOrTypedArray(f.opacity);function g(t){return u.opacity*t}p&&(r=s.hasColorscale(u,\\\"marker\\\")?s.makeColorScaleFuncFromTrace(f):i.identity);d&&(a=c(u));m&&(o=function(t){return g(n(t)?+i.constrain(t,0,1):0)});var v,x=[];for(e=0;e<t.length;e++){var b=t[e],_=b.lonlat;if(!y(_)){var w={};r&&(w.mcc=b.mcc=r(b.mc)),a&&(w.mrc=b.mrc=a(b.ms)),o&&(w.mo=o(b.mo)),h&&(w.selected=b.selected||0),x.push({type:\\\"Feature\\\",geometry:{type:\\\"Point\\\",coordinates:_},properties:w})}}if(h)for(v=l.makeSelectedPointStyleFns(u),e=0;e<x.length;e++){var T=x[e].properties;v.selectedOpacityFn&&(T.mo=g(v.selectedOpacityFn(T))),v.selectedColorFn&&(T.mcc=v.selectedColorFn(T)),v.selectedSizeFn&&(T.mrc=v.selectedSizeFn(T))}return{geojson:{type:\\\"FeatureCollection\\\",features:x},mcc:p||v&&v.selectedColorFn?{type:\\\"identity\\\",property:\\\"mcc\\\"}:f.color,mrc:d||v&&v.selectedSizeFn?{type:\\\"identity\\\",property:\\\"mrc\\\"}:(k=f.size,k/2),mo:m||v&&v.selectedOpacityFn?{type:\\\"identity\\\",property:\\\"mo\\\"}:g(f.opacity)};var k}(e);E.geojson=P.geojson,E.layout.visibility=\\\"visible\\\",i.extendFlat(E.paint,{\\\"circle-color\\\":P.mcc,\\\"circle-radius\\\":P.mrc,\\\"circle-opacity\\\":P.mo})}if((M||T)&&(L.geojson=function(t,e){for(var r=e._fullLayout,n=t[0].trace,a=n.marker||{},o=a.symbol,s=a.angle,l=\\\"circle\\\"!==o?g(o):v,c=\\\"auto\\\"!==s?g(s,!0):v,f=u.hasText(n)?g(n.text):v,m=[],x=0;x<t.length;x++){var b=t[x];if(!y(b.lonlat)){var _,w=n.texttemplate;if(w){var T=Array.isArray(w)?w[x]||\\\"\\\":w,k=n._module.formatLabels(b,n,r),M={};h(M,n,b.i);var A=n._meta||{};_=i.texttemplateString(T,k,r._d3locale,M,b,A)}else 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I=(a.marker||{}).size,O=f(a.textposition,I);i.extendFlat(L.layout,{\\\"text-size\\\":a.textfont.size,\\\"text-anchor\\\":O.anchor,\\\"text-offset\\\":O.offset}),i.extendFlat(L.paint,{\\\"text-color\\\":a.textfont.color,\\\"text-opacity\\\":a.opacity})}return C}},{\\\"../../components/colorscale\\\":670,\\\"../../components/drawing\\\":680,\\\"../../components/fx/helpers\\\":694,\\\"../../constants/numerical\\\":771,\\\"../../lib\\\":795,\\\"../../lib/geojson_utils\\\":789,\\\"../../lib/svg_text_utils\\\":820,\\\"../../plots/mapbox/convert_text_opts\\\":902,\\\"../scatter/make_bubble_size_func\\\":1227,\\\"../scatter/subtypes\\\":1235,\\\"fast-isnumeric\\\":241}],1277:[function(t,e,r){\\\"use strict\\\";var n=t(\\\"../../lib\\\"),i=t(\\\"../scatter/subtypes\\\"),a=t(\\\"../scatter/marker_defaults\\\"),o=t(\\\"../scatter/line_defaults\\\"),s=t(\\\"../scatter/text_defaults\\\"),l=t(\\\"../scatter/fillcolor_defaults\\\"),c=t(\\\"./attributes\\\");e.exports=function(t,e,r,u){function f(r,i){return n.coerce(t,e,c,r,i)}if(function(t,e,r){var n=r(\\\"lon\\\")||[],i=r(\\\"lat\\\")||[],a=Math.min(n.length,i.length);return e._length=a,a}(0,e,f)){if(f(\\\"text\\\"),f(\\\"texttemplate\\\"),f(\\\"hovertext\\\"),f(\\\"hovertemplate\\\"),f(\\\"mode\\\"),f(\\\"below\\\"),i.hasLines(e)&&(o(t,e,r,u,f,{noDash:!0}),f(\\\"connectgaps\\\")),i.hasMarkers(e)){a(t,e,r,u,f,{noLine:!0}),f(\\\"marker.allowoverlap\\\"),f(\\\"marker.angle\\\");var h=e.marker;\\\"circle\\\"!==h.symbol&&(n.isArrayOrTypedArray(h.size)&&(h.size=h.size[0]),n.isArrayOrTypedArray(h.color)&&(h.color=h.color[0]))}i.hasText(e)&&s(t,e,u,f,{noSelect:!0}),f(\\\"fill\\\"),\\\"none\\\"!==e.fill&&l(t,e,r,f),n.coerceSelectionMarkerOpacity(e,f)}else 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n=(e.hi||t.hoverinfo).split(\\\"+\\\"),i=-1!==n.indexOf(\\\"all\\\"),a=-1!==n.indexOf(\\\"lon\\\"),s=-1!==n.indexOf(\\\"lat\\\"),l=e.lonlat,c=[];return i||a&&s?c.push(\\\"(\\\"+u(l[1])+\\\", \\\"+u(l[0])+\\\")\\\"):a?c.push(r.lon+u(l[0])):s&&c.push(r.lat+u(l[1])),(i||-1!==n.indexOf(\\\"text\\\"))&&o(e,t,c),c.join(\\\"<br>\\\")}function u(t){return t+\\\"\\\\xb0\\\"}}e.exports={hoverPoints:function(t,e,r){var o=t.cd,c=o[0].trace,u=t.xa,f=t.ya,h=t.subplot,p=360*(e>=0?Math.floor((e+180)/360):Math.ceil((e-180)/360)),d=e-p;if(n.getClosest(o,(function(t){var e=t.lonlat;if(e[0]===s)return 1/0;var n=i.modHalf(e[0],360),a=e[1],o=h.project([n,a]),l=o.x-u.c2p([d,a]),c=o.y-f.c2p([n,r]),p=Math.max(3,t.mrc||0);return Math.max(Math.sqrt(l*l+c*c)-p,1-3/p)}),t),!1!==t.index){var m=o[t.index],g=m.lonlat,v=[i.modHalf(g[0],360)+p,g[1]],y=u.c2p(v),x=f.c2p(v),b=m.mrc||1;t.x0=y-b,t.x1=y+b,t.y0=x-b,t.y1=x+b;var _={};_[c.subplot]={_subplot:h};var w=c._module.formatLabels(m,c,_);return 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v=n[u];r.xMax=Math.max(r.xMax,v),r.xMin=Math.min(r.xMin,v);var y=o[u];r.yMax=Math.max(r.yMax,y),r.yMin=Math.min(r.yMin,y);var x=l[u];r.zMax=Math.max(r.zMax,x),r.zMin=Math.min(r.zMin,x)}e._slen=c,e._normMax=f,e._xbnds=[r.xMin,r.xMax],e._ybnds=[r.yMin,r.yMax],e._zbnds=[r.zMin,r.zMax]},filter:s,processGrid:a}},{\\\"../../components/colorscale/calc\\\":666,\\\"../../lib\\\":795}],1319:[function(t,e,r){\\\"use strict\\\";var n=t(\\\"gl-streamtube3d\\\"),i=n.createTubeMesh,a=t(\\\"../../lib\\\"),o=t(\\\"../../lib/gl_format_color\\\").parseColorScale,s=t(\\\"../../components/colorscale\\\").extractOpts,l=t(\\\"../../plots/gl3d/zip3\\\"),c={xaxis:0,yaxis:1,zaxis:2};function u(t,e){this.scene=t,this.uid=e,this.mesh=null,this.data=null}var f=u.prototype;function h(t){var e=t.length;return e>2?t.slice(1,e-1):2===e?[(t[0]+t[1])/2]:t}function p(t){var e=t.length;return 1===e?[.5,.5]:[t[1]-t[0],t[e-1]-t[e-2]]}function d(t,e){var r=t.fullSceneLayout,i=t.dataScale,u=e._len,f={};function d(t,e){var 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n=t(\\\"../../lib\\\"),i=t(\\\"./layout_attributes\\\");e.exports=function(t,e){function r(r,a){return n.coerce(t,e,i,r,a)}r(\\\"sunburstcolorway\\\",e.colorway),r(\\\"extendsunburstcolors\\\")}},{\\\"../../lib\\\":795,\\\"./layout_attributes\\\":1330}],1332:[function(t,e,r){\\\"use strict\\\";var n=t(\\\"@plotly/d3\\\"),i=t(\\\"d3-hierarchy\\\"),a=t(\\\"../../components/drawing\\\"),o=t(\\\"../../lib\\\"),s=t(\\\"../../lib/svg_text_utils\\\"),l=t(\\\"../bar/uniform_text\\\"),c=l.recordMinTextSize,u=l.clearMinTextSize,f=t(\\\"../pie/plot\\\"),h=t(\\\"../pie/helpers\\\").getRotationAngle,p=f.computeTransform,d=f.transformInsideText,m=t(\\\"./style\\\").styleOne,g=t(\\\"../bar/style\\\").resizeText,v=t(\\\"./fx\\\"),y=t(\\\"./constants\\\"),x=t(\\\"./helpers\\\");function b(t,e,l,u){var 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X=x.getPtId(z);b.each((function(t){null===W&&x.getPtId(t)===X&&(W=t.x1)}))}var Z=b;function J(t){var e=t.parent,r=D[x.getPtId(e)],i={};if(r){var a=e.children,o=a.indexOf(t),s=a.length,l=n.interpolate(r.x0,r.x1);i.x0=l(o/s),i.x1=l(o/s)}else i.x0=i.x1=0;return i}g&&(Z=Z.transition().each(\\\"end\\\",(function(){var e=n.select(this);x.setSliceCursor(e,t,{hideOnRoot:!0,hideOnLeaves:!0,isTransitioning:!1})}))),Z.each((function(i){var l=n.select(this),u=o.ensureSingle(l,\\\"path\\\",\\\"surface\\\",(function(t){t.style(\\\"pointer-events\\\",\\\"all\\\")}));i.rpx0=V(i.y0),i.rpx1=V(i.y1),i.xmid=(i.x0+i.x1)/2,i.pxmid=q(i.rpx1,i.xmid),i.midangle=-(i.xmid-Math.PI/2),i.startangle=-(i.x0-Math.PI/2),i.stopangle=-(i.x1-Math.PI/2),i.halfangle=.5*Math.min(o.angleDelta(i.x0,i.x1)||Math.PI,Math.PI),i.ring=1-i.rpx0/i.rpx1,i.rInscribed=function(t){return 0===t.rpx0&&o.isFullCircle([t.x0,t.x1])?1:Math.max(0,Math.min(1/(1+1/Math.sin(t.halfangle)),t.ring/2))}(i),g?u.transition().attrTween(\\\"d\\\",(function(t){var e=function(t){var e,r=D[x.getPtId(t)],i={x0:t.x0,x1:t.x1,rpx0:t.rpx0,rpx1:t.rpx1};if(r)e=r;else if(z)if(t.parent)if(W){var a=(t.x1>W?2*Math.PI:0)+j;e={x0:a,x1:a}}else e={rpx0:P,rpx1:P},o.extendFlat(e,J(t));else e={rpx0:0,rpx1:0};else e={x0:j,x1:j};return n.interpolate(e,i)}(t);return function(t){return H(e(t))}})):u.attr(\\\"d\\\",H),l.call(v,M,t,e,{eventDataKeys:y.eventDataKeys,transitionTime:y.CLICK_TRANSITION_TIME,transitionEasing:y.CLICK_TRANSITION_EASING}).call(x.setSliceCursor,t,{hideOnRoot:!0,hideOnLeaves:!0,isTransitioning:t._transitioning}),u.call(m,i,T);var h=o.ensureSingle(l,\\\"g\\\",\\\"slicetext\\\"),b=o.ensureSingle(h,\\\"text\\\",\\\"\\\",(function(t){t.attr(\\\"data-notex\\\",1)})),_=o.ensureUniformFontSize(t,x.determineTextFont(T,i,f.font));b.text(r.formatSliceLabel(i,M,T,e,f)).classed(\\\"slicetext\\\",!0).attr(\\\"text-anchor\\\",\\\"middle\\\").call(a.font,_).call(s.convertToTspans,t);var k=a.bBox(b.node());i.transform=d(k,i,w),i.transform.targetX=G(i),i.transform.targetY=Y(i);var A=function(t,e){var r=t.transform;return p(r,e),r.fontSize=_.size,c(T.type,r,f),o.getTextTransform(r)};g?b.transition().attrTween(\\\"transform\\\",(function(t){var e=function(t){var e,r=D[x.getPtId(t)],i=t.transform;if(r)e=r;else if(e={rpx1:t.rpx1,transform:{textPosAngle:i.textPosAngle,scale:0,rotate:i.rotate,rCenter:i.rCenter,x:i.x,y:i.y}},z)if(t.parent)if(W){var a=t.x1>W?2*Math.PI:0;e.x0=e.x1=a}else o.extendFlat(e,J(t));else e.x0=e.x1=j;else e.x0=e.x1=j;var s=n.interpolate(e.transform.textPosAngle,t.transform.textPosAngle),l=n.interpolate(e.rpx1,t.rpx1),u=n.interpolate(e.x0,t.x0),h=n.interpolate(e.x1,t.x1),p=n.interpolate(e.transform.scale,i.scale),d=n.interpolate(e.transform.rotate,i.rotate),m=0===i.rCenter?3:0===e.transform.rCenter?1/3:1,g=n.interpolate(e.transform.rCenter,i.rCenter);return function(t){var e=l(t),r=u(t),n=h(t),a=function(t){return g(Math.pow(t,m))}(t),o={pxmid:q(e,(r+n)/2),rpx1:e,transform:{textPosAngle:s(t),rCenter:a,x:i.x,y:i.y}};return c(T.type,i,f),{transform:{targetX:G(o),targetY:Y(o),scale:p(t),rotate:d(t),rCenter:a}}}}(t);return function(t){return A(e(t),k)}})):b.attr(\\\"transform\\\",A(i,k))}))}function _(t){return e=t.rpx1,r=t.transform.textPosAngle,[e*Math.sin(r),-e*Math.cos(r)];var e,r}r.plot=function(t,e,r,i){var a,o,s=t._fullLayout,l=s._sunburstlayer,c=!r,f=!s.uniformtext.mode&&x.hasTransition(r);(u(\\\"sunburst\\\",s),(a=l.selectAll(\\\"g.trace.sunburst\\\").data(e,(function(t){return t[0].trace.uid}))).enter().append(\\\"g\\\").classed(\\\"trace\\\",!0).classed(\\\"sunburst\\\",!0).attr(\\\"stroke-linejoin\\\",\\\"round\\\"),a.order(),f)?(i&&(o=i()),n.transition().duration(r.duration).ease(r.easing).each(\\\"end\\\",(function(){o&&o()})).each(\\\"interrupt\\\",(function(){o&&o()})).each((function(){l.selectAll(\\\"g.trace\\\").each((function(e){b(t,e,this,r)}))}))):(a.each((function(e){b(t,e,this,r)})),s.uniformtext.mode&&g(t,s._sunburstlayer.selectAll(\\\".trace\\\"),\\\"sunburst\\\"));c&&a.exit().remove()},r.formatSliceLabel=function(t,e,r,n,i){var a=r.texttemplate,s=r.textinfo;if(!(a||s&&\\\"none\\\"!==s))return\\\"\\\";var l=i.separators,c=n[0],u=t.data.data,f=c.hierarchy,h=x.isHierarchyRoot(t),p=x.getParent(f,t),d=x.getValue(t);if(!a){var m,g=s.split(\\\"+\\\"),v=function(t){return-1!==g.indexOf(t)},y=[];if(v(\\\"label\\\")&&u.label&&y.push(u.label),u.hasOwnProperty(\\\"v\\\")&&v(\\\"value\\\")&&y.push(x.formatValue(u.v,l)),!h){v(\\\"current 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M={};u.label&&(M.label=u.label),u.hasOwnProperty(\\\"v\\\")&&(M.value=u.v,M.valueLabel=x.formatValue(u.v,l)),M.currentPath=x.getPath(t.data),h||(M.percentParent=d/x.getValue(p),M.percentParentLabel=x.formatPercent(M.percentParent,l),M.parent=x.getPtLabel(p)),M.percentEntry=d/x.getValue(e),M.percentEntryLabel=x.formatPercent(M.percentEntry,l),M.entry=x.getPtLabel(e),M.percentRoot=d/x.getValue(f),M.percentRootLabel=x.formatPercent(M.percentRoot,l),M.root=x.getPtLabel(f),u.hasOwnProperty(\\\"color\\\")&&(M.color=u.color);var A=o.castOption(r,u.i,\\\"text\\\");return(o.isValidTextValue(A)||\\\"\\\"===A)&&(M.text=A),M.customdata=o.castOption(r,u.i,\\\"customdata\\\"),o.texttemplateString(k,M,i._d3locale,M,r._meta||{})}},{\\\"../../components/drawing\\\":680,\\\"../../lib\\\":795,\\\"../../lib/svg_text_utils\\\":820,\\\"../bar/style\\\":947,\\\"../bar/uniform_text\\\":949,\\\"../pie/helpers\\\":1189,\\\"../pie/plot\\\":1193,\\\"./constants\\\":1325,\\\"./fx\\\":1327,\\\"./helpers\\\":1328,\\\"./style\\\":1333,\\\"@plotly/d3\\\":58,\\\"d3-hierarchy\\\":163}],1333:[function(t,e,r){\\\"use strict\\\";var n=t(\\\"@plotly/d3\\\"),i=t(\\\"../../components/color\\\"),a=t(\\\"../../lib\\\"),o=t(\\\"../bar/uniform_text\\\").resizeText;function s(t,e,r){var n=e.data.data,o=!e.children,s=n.i,l=a.castOption(r,s,\\\"marker.line.color\\\")||i.defaultLine,c=a.castOption(r,s,\\\"marker.line.width\\\")||0;t.style(\\\"stroke-width\\\",c).call(i.fill,n.color).call(i.stroke,l).style(\\\"opacity\\\",o?r.leaf.opacity:null)}e.exports={style:function(t){var e=t._fullLayout._sunburstlayer.selectAll(\\\".trace\\\");o(t,e,\\\"sunburst\\\"),e.each((function(t){var e=n.select(this),r=t[0].trace;e.style(\\\"opacity\\\",r.opacity),e.selectAll(\\\"path.surface\\\").each((function(t){n.select(this).call(s,t,r)}))}))},styleOne:s}},{\\\"../../components/color\\\":658,\\\"../../lib\\\":795,\\\"../bar/uniform_text\\\":949,\\\"@plotly/d3\\\":58}],1334:[function(t,e,r){\\\"use strict\\\";var n=t(\\\"../../components/color\\\"),i=t(\\\"../../components/colorscale/attributes\\\"),a=t(\\\"../../plots/hoverformat_attributes\\\"),o=t(\\\"../../plots/template_attributes\\\").hovertemplateAttrs,s=t(\\\"../../plots/attributes\\\"),l=t(\\\"../../lib/extend\\\").extendFlat,c=t(\\\"../../plot_api/edit_types\\\").overrideAll;function u(t){return{show:{valType:\\\"boolean\\\",dflt:!1},start:{valType:\\\"number\\\",dflt:null,editType:\\\"plot\\\"},end:{valType:\\\"number\\\",dflt:null,editType:\\\"plot\\\"},size:{valType:\\\"number\\\",dflt:null,min:0,editType:\\\"plot\\\"},project:{x:{valType:\\\"boolean\\\",dflt:!1},y:{valType:\\\"boolean\\\",dflt:!1},z:{valType:\\\"boolean\\\",dflt:!1}},color:{valType:\\\"color\\\",dflt:n.defaultLine},usecolormap:{valType:\\\"boolean\\\",dflt:!1},width:{valType:\\\"number\\\",min:1,max:16,dflt:2},highlight:{valType:\\\"boolean\\\",dflt:!0},highlightcolor:{valType:\\\"color\\\",dflt:n.defaultLine},highlightwidth:{valType:\\\"number\\\",min:1,max:16,dflt:2}}}var f=e.exports=c(l({z:{valType:\\\"data_array\\\"},x:{valType:\\\"data_array\\\"},y:{valType:\\\"data_array\\\"},text:{valType:\\\"string\\\",dflt:\\\"\\\",arrayOk:!0},hovertext:{valType:\\\"string\\\",dflt:\\\"\\\",arrayOk:!0},hovertemplate:o(),xhoverformat:a(\\\"x\\\"),yhoverformat:a(\\\"y\\\"),zhoverformat:a(\\\"z\\\"),connectgaps:{valType:\\\"boolean\\\",dflt:!1,editType:\\\"calc\\\"},surfacecolor:{valType:\\\"data_array\\\"}},i(\\\"\\\",{colorAttr:\\\"z or 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0},{\\\"../../components/color\\\":658,\\\"../../components/colorscale/attributes\\\":665,\\\"../../lib/extend\\\":785,\\\"../../plot_api/edit_types\\\":827,\\\"../../plots/attributes\\\":841,\\\"../../plots/hoverformat_attributes\\\":899,\\\"../../plots/template_attributes\\\":918}],1335:[function(t,e,r){\\\"use strict\\\";var n=t(\\\"../../components/colorscale/calc\\\");e.exports=function(t,e){e.surfacecolor?n(t,e,{vals:e.surfacecolor,containerStr:\\\"\\\",cLetter:\\\"c\\\"}):n(t,e,{vals:e.z,containerStr:\\\"\\\",cLetter:\\\"c\\\"})}},{\\\"../../components/colorscale/calc\\\":666}],1336:[function(t,e,r){\\\"use strict\\\";var n=t(\\\"gl-surface3d\\\"),i=t(\\\"ndarray\\\"),a=t(\\\"ndarray-linear-interpolate\\\").d2,o=t(\\\"../heatmap/interp2d\\\"),s=t(\\\"../heatmap/find_empties\\\"),l=t(\\\"../../lib\\\").isArrayOrTypedArray,c=t(\\\"../../lib/gl_format_color\\\").parseColorScale,u=t(\\\"../../lib/str2rgbarray\\\"),f=t(\\\"../../components/colorscale\\\").extractOpts;function h(t,e,r){this.scene=t,this.uid=r,this.surface=e,this.data=null,this.showContour=[!1,!1,!1],this.contourStart=[null,null,null],this.contourEnd=[null,null,null],this.contourSize=[0,0,0],this.minValues=[1/0,1/0,1/0],this.maxValues=[-1/0,-1/0,-1/0],this.dataScaleX=1,this.dataScaleY=1,this.refineData=!0,this.objectOffset=[0,0,0]}var p=h.prototype;p.getXat=function(t,e,r,n){var i=l(this.data.x)?l(this.data.x[0])?this.data.x[e][t]:this.data.x[t]:t;return void 0===r?i:n.d2l(i,0,r)},p.getYat=function(t,e,r,n){var i=l(this.data.y)?l(this.data.y[0])?this.data.y[e][t]:this.data.y[e]:e;return void 0===r?i:n.d2l(i,0,r)},p.getZat=function(t,e,r,n){var i=this.data.z[e][t];return null===i&&this.data.connectgaps&&this.data._interpolatedZ&&(i=this.data._interpolatedZ[e][t]),void 0===r?i:n.d2l(i,0,r)},p.handlePick=function(t){if(t.object===this.surface){var e=(t.data.index[0]-1)/this.dataScaleX-1,r=(t.data.index[1]-1)/this.dataScaleY-1,n=Math.max(Math.min(Math.round(e),this.data.z[0].length-1),0),i=Math.max(Math.min(Math.round(r),this.data._ylength-1),0);t.index=[n,i],t.traceCoordinate=[this.getXat(n,i),this.getYat(n,i),this.getZat(n,i)],t.dataCoordinate=[this.getXat(n,i,this.data.xcalendar,this.scene.fullSceneLayout.xaxis),this.getYat(n,i,this.data.ycalendar,this.scene.fullSceneLayout.yaxis),this.getZat(n,i,this.data.zcalendar,this.scene.fullSceneLayout.zaxis)];for(var a=0;a<3;a++){var o=t.dataCoordinate[a];null!=o&&(t.dataCoordinate[a]*=this.scene.dataScale[a])}var s=this.data.hovertext||this.data.text;return Array.isArray(s)&&s[i]&&void 0!==s[i][n]?t.textLabel=s[i][n]:t.textLabel=s||\\\"\\\",t.data.dataCoordinate=t.dataCoordinate.slice(),this.surface.highlight(t.data),this.scene.glplot.spikes.position=t.dataCoordinate,!0}};var d=[2,3,5,7,11,13,17,19,23,29,31,37,41,43,47,53,59,61,67,71,73,79,83,89,97,101,103,107,109,113,127,131,137,139,149,151,157,163,167,173,179,181,191,193,197,199,211,223,227,229,233,239,241,251,257,263,269,271,277,281,283,293,307,311,313,317,331,337,347,349,353,359,367,373,379,383,389,397,401,409,419,421,431,433,439,443,449,457,461,463,467,479,487,491,499,503,509,521,523,541,547,557,563,569,571,577,587,593,599,601,607,613,617,619,631,641,643,647,653,659,661,673,677,683,691,701,709,719,727,733,739,743,751,757,761,769,773,787,797,809,811,821,823,827,829,839,853,857,859,863,877,881,883,887,907,911,919,929,937,941,947,953,967,971,977,983,991,997,1009,1013,1019,1021,1031,1033,1039,1049,1051,1061,1063,1069,1087,1091,1093,1097,1103,1109,1117,1123,1129,1151,1153,1163,1171,1181,1187,1193,1201,1213,1217,1223,1229,1231,1237,1249,1259,1277,1279,1283,1289,1291,1297,1301,1303,1307,1319,1321,1327,1361,1367,1373,1381,1399,1409,1423,1427,1429,1433,1439,1447,1451,1453,1459,1471,1481,1483,1487,1489,1493,1499,1511,1523,1531,1543,1549,1553,1559,1567,1571,1579,1583,1597,1601,1607,1609,1613,1619,1621,1627,1637,1657,1663,1667,1669,1693,1697,1699,1709,1721,1723,1733,1741,1747,1753,1759,1777,1783,1787,1789,1801,1811,1823,1831,1847,1861,1867,1871,1873,1877,1879,1889,1901,1907,1913,1931,1933,1949,1951,1973,1979,1987,1993,1997,1999,2003,2011,2017,2027,2029,2039,2053,2063,2069,2081,2083,2087,2089,2099,2111,2113,2129,2131,2137,2141,2143,2153,2161,2179,2203,2207,2213,2221,2237,2239,2243,2251,2267,2269,2273,2281,2287,2293,2297,2309,2311,2333,2339,2341,2347,2351,2357,2371,2377,2381,2383,2389,2393,2399,2411,2417,2423,2437,2441,2447,2459,2467,2473,2477,2503,2521,2531,2539,2543,2549,2551,2557,2579,2591,2593,2609,2617,2621,2633,2647,2657,2659,2663,2671,2677,2683,2687,2689,2693,2699,2707,2711,2713,2719,2729,2731,2741,2749,2753,2767,2777,2789,2791,2797,2801,2803,2819,2833,2837,2843,2851,2857,2861,2879,2887,2897,2903,2909,2917,2927,2939,2953,2957,2963,2969,2971,2999];function m(t,e){if(t<e)return 0;for(var r=0;0===Math.floor(t%e);)t/=e,r++;return r}function g(t){for(var e=[],r=0;r<d.length;r++){var n=d[r];e.push(m(t,n))}return e}function v(t){for(var e=g(t),r=t,n=0;n<d.length;n++)if(e[n]>0){r=d[n];break}return r}function y(t,e){if(!(t<1||e<1)){for(var r=g(t),n=g(e),i=1,a=0;a<d.length;a++)i*=Math.pow(d[a],Math.max(r[a],n[a]));return i}}p.calcXnums=function(t){var e,r=[];for(e=1;e<t;e++){var n=this.getXat(e-1,0),i=this.getXat(e,0);r[e-1]=i!==n&&null!=n&&null!=i?Math.abs(i-n):0}var a=0;for(e=1;e<t;e++)a+=r[e-1];for(e=1;e<t;e++)0===r[e-1]?r[e-1]=1:r[e-1]=Math.round(a/r[e-1]);return r},p.calcYnums=function(t){var e,r=[];for(e=1;e<t;e++){var n=this.getYat(0,e-1),i=this.getYat(0,e);r[e-1]=i!==n&&null!=n&&null!=i?Math.abs(i-n):0}var a=0;for(e=1;e<t;e++)a+=r[e-1];for(e=1;e<t;e++)0===r[e-1]?r[e-1]=1:r[e-1]=Math.round(a/r[e-1]);return r};var x=[1,2,4,6,12,24,36,48,60,120,180,240,360,720,840,1260],b=x[9],_=x[13];function w(t,e,r){var n=r[8]+r[2]*e[0]+r[5]*e[1];return t[0]=(r[6]+r[0]*e[0]+r[3]*e[1])/n,t[1]=(r[7]+r[1]*e[0]+r[4]*e[1])/n,t}function T(t,e,r){return function(t,e,r,n){for(var i=[0,0],o=t.shape[0],s=t.shape[1],l=0;l<o;l++)for(var c=0;c<s;c++)r(i,[l,c],n),t.set(l,c,a(e,i[0],i[1]))}(t,e,w,r),t}function k(t,e){for(var r=!1,n=0;n<t.length;n++)if(e===t[n]){r=!0;break}!1===r&&t.push(e)}p.estimateScale=function(t,e){for(var r=1+function(t){if(0!==t.length){for(var e=1,r=0;r<t.length;r++)e=y(e,t[r]);return e}}(0===e?this.calcXnums(t):this.calcYnums(t));r<b;)r*=2;for(;r>_;)r--,r/=v(r),++r<b&&(r=_);var n=Math.round(r/t);return n>1?n:1},p.refineCoords=function(t){for(var e=this.dataScaleX,r=this.dataScaleY,n=t[0].shape[0],a=t[0].shape[1],o=0|Math.floor(t[0].shape[0]*e+1),s=0|Math.floor(t[0].shape[1]*r+1),l=1+n+1,c=1+a+1,u=i(new Float32Array(l*c),[l,c]),f=[1/e,0,0,0,1/r,0,0,0,1],h=0;h<t.length;++h){this.surface.padField(u,t[h]);var p=i(new Float32Array(o*s),[o,s]);T(p,u,f),t[h]=p}},p.setContourLevels=function(){var t,e,r,n=[[],[],[]],i=[!1,!1,!1],a=!1;for(t=0;t<3;++t)if(this.showContour[t]&&(a=!0,this.contourSize[t]>0&&null!==this.contourStart[t]&&null!==this.contourEnd[t]&&this.contourEnd[t]>this.contourStart[t]))for(i[t]=!0,e=this.contourStart[t];e<this.contourEnd[t];e+=this.contourSize[t])r=e*this.scene.dataScale[t],k(n[t],r);if(a){var o=[[],[],[]];for(t=0;t<3;++t)this.showContour[t]&&(o[t]=i[t]?n[t]:this.scene.contourLevels[t]);this.surface.update({levels:o})}},p.update=function(t){var e,r,n,a,l=this.scene,h=l.fullSceneLayout,p=this.surface,d=c(t),m=l.dataScale,g=t.z[0].length,v=t._ylength,y=l.contourLevels;this.data=t;var x=[];for(e=0;e<3;e++)for(x[e]=[],r=0;r<g;r++)x[e][r]=[];for(r=0;r<g;r++)for(n=0;n<v;n++)x[0][r][n]=this.getXat(r,n,t.xcalendar,h.xaxis),x[1][r][n]=this.getYat(r,n,t.ycalendar,h.yaxis),x[2][r][n]=this.getZat(r,n,t.zcalendar,h.zaxis);if(t.connectgaps)for(t._emptypoints=s(x[2]),o(x[2],t._emptypoints),t._interpolatedZ=[],r=0;r<g;r++)for(t._interpolatedZ[r]=[],n=0;n<v;n++)t._interpolatedZ[r][n]=x[2][r][n];for(e=0;e<3;e++)for(r=0;r<g;r++)for(n=0;n<v;n++)null==(a=x[e][r][n])?x[e][r][n]=NaN:a=x[e][r][n]*=m[e];for(e=0;e<3;e++)for(r=0;r<g;r++)for(n=0;n<v;n++)null!=(a=x[e][r][n])&&(this.minValues[e]>a&&(this.minValues[e]=a),this.maxValues[e]<a&&(this.maxValues[e]=a));for(e=0;e<3;e++)this.objectOffset[e]=.5*(this.minValues[e]+this.maxValues[e]);for(e=0;e<3;e++)for(r=0;r<g;r++)for(n=0;n<v;n++)null!=(a=x[e][r][n])&&(x[e][r][n]-=this.objectOffset[e]);var b=[i(new Float32Array(g*v),[g,v]),i(new Float32Array(g*v),[g,v]),i(new Float32Array(g*v),[g,v])];for(e=0;e<3;e++)for(r=0;r<g;r++)for(n=0;n<v;n++)b[e].set(r,n,x[e][r][n]);x=[];var w={colormap:d,levels:[[],[],[]],showContour:[!0,!0,!0],showSurface:!t.hidesurface,contourProject:[[!1,!1,!1],[!1,!1,!1],[!1,!1,!1]],contourWidth:[1,1,1],contourColor:[[1,1,1,1],[1,1,1,1],[1,1,1,1]],contourTint:[1,1,1],dynamicColor:[[1,1,1,1],[1,1,1,1],[1,1,1,1]],dynamicWidth:[1,1,1],dynamicTint:[1,1,1],opacityscale:t.opacityscale,opacity:t.opacity},T=f(t);if(w.intensityBounds=[T.min,T.max],t.surfacecolor){var k=i(new Float32Array(g*v),[g,v]);for(r=0;r<g;r++)for(n=0;n<v;n++)k.set(r,n,t.surfacecolor[n][r]);b.push(k)}else w.intensityBounds[0]*=m[2],w.intensityBounds[1]*=m[2];(_<b[0].shape[0]||_<b[0].shape[1])&&(this.refineData=!1),!0===this.refineData&&(this.dataScaleX=this.estimateScale(b[0].shape[0],0),this.dataScaleY=this.estimateScale(b[0].shape[1],1),1===this.dataScaleX&&1===this.dataScaleY||this.refineCoords(b)),t.surfacecolor&&(w.intensity=b.pop());var M=[!0,!0,!0],A=[\\\"x\\\",\\\"y\\\",\\\"z\\\"];for(e=0;e<3;++e){var S=t.contours[A[e]];M[e]=S.highlight,w.showContour[e]=S.show||S.highlight,w.showContour[e]&&(w.contourProject[e]=[S.project.x,S.project.y,S.project.z],S.show?(this.showContour[e]=!0,w.levels[e]=y[e],p.highlightColor[e]=w.contourColor[e]=u(S.color),S.usecolormap?p.highlightTint[e]=w.contourTint[e]=0:p.highlightTint[e]=w.contourTint[e]=1,w.contourWidth[e]=S.width,this.contourStart[e]=S.start,this.contourEnd[e]=S.end,this.contourSize[e]=S.size):(this.showContour[e]=!1,this.contourStart[e]=null,this.contourEnd[e]=null,this.contourSize[e]=0),S.highlight&&(w.dynamicColor[e]=u(S.highlightcolor),w.dynamicWidth[e]=S.highlightwidth))}(function(t){var e=t[0].rgb,r=t[t.length-1].rgb;return e[0]===r[0]&&e[1]===r[1]&&e[2]===r[2]&&e[3]===r[3]})(d)&&(w.vertexColor=!0),w.objectOffset=this.objectOffset,w.coords=b,p.update(w),p.visible=t.visible,p.enableDynamic=M,p.enableHighlight=M,p.snapToData=!0,\\\"lighting\\\"in t&&(p.ambientLight=t.lighting.ambient,p.diffuseLight=t.lighting.diffuse,p.specularLight=t.lighting.specular,p.roughness=t.lighting.roughness,p.fresnel=t.lighting.fresnel),\\\"lightposition\\\"in t&&(p.lightPosition=[t.lightposition.x,t.lightposition.y,t.lightposition.z])},p.dispose=function(){this.scene.glplot.remove(this.surface),this.surface.dispose()},e.exports=function(t,e){var r=t.glplot.gl,i=n({gl:r}),a=new h(t,i,e.uid);return i._trace=a,a.update(e),t.glplot.add(i),a}},{\\\"../../components/colorscale\\\":670,\\\"../../lib\\\":795,\\\"../../lib/gl_format_color\\\":791,\\\"../../lib/str2rgbarray\\\":819,\\\"../heatmap/find_empties\\\":1083,\\\"../heatmap/interp2d\\\":1086,\\\"gl-surface3d\\\":346,ndarray:475,\\\"ndarray-linear-interpolate\\\":469}],1337:[function(t,e,r){\\\"use strict\\\";var n=t(\\\"../../registry\\\"),i=t(\\\"../../lib\\\"),a=t(\\\"../../components/colorscale/defaults\\\"),o=t(\\\"./attributes\\\");function s(t,e,r,n){var i=n(\\\"opacityscale\\\");\\\"max\\\"===i?e.opacityscale=[[0,.1],[1,1]]:\\\"min\\\"===i?e.opacityscale=[[0,1],[1,.1]]:\\\"extremes\\\"===i?e.opacityscale=function(t,e){for(var r=[],n=0;n<32;n++){var i=n/31,a=e+(1-e)*(1-Math.pow(Math.sin(t*i*Math.PI),2));r.push([i,Math.max(0,Math.min(1,a))])}return r}(1,.1):function(t){var e=0;if(!Array.isArray(t)||t.length<2)return!1;if(!t[0]||!t[t.length-1])return!1;if(0!=+t[0][0]||1!=+t[t.length-1][0])return!1;for(var r=0;r<t.length;r++){var n=t[r];if(2!==n.length||+n[0]<e)return!1;e=+n[0]}return!0}(i)||(e.opacityscale=void 0)}function l(t,e,r){e in t&&!(r in t)&&(t[r]=t[e])}e.exports={supplyDefaults:function(t,e,r,c){var u,f;function h(r,n){return i.coerce(t,e,o,r,n)}var p=h(\\\"x\\\"),d=h(\\\"y\\\"),m=h(\\\"z\\\");if(!m||!m.length||p&&p.length<1||d&&d.length<1)e.visible=!1;else{e._xlength=Array.isArray(p)&&i.isArrayOrTypedArray(p[0])?m.length:m[0].length,e._ylength=m.length,n.getComponentMethod(\\\"calendars\\\",\\\"handleTraceDefaults\\\")(t,e,[\\\"x\\\",\\\"y\\\",\\\"z\\\"],c),h(\\\"text\\\"),h(\\\"hovertext\\\"),h(\\\"hovertemplate\\\"),h(\\\"xhoverformat\\\"),h(\\\"yhoverformat\\\"),h(\\\"zhoverformat\\\"),[\\\"lighting.ambient\\\",\\\"lighting.diffuse\\\",\\\"lighting.specular\\\",\\\"lighting.roughness\\\",\\\"lighting.fresnel\\\",\\\"lightposition.x\\\",\\\"lightposition.y\\\",\\\"lightposition.z\\\",\\\"hidesurface\\\",\\\"connectgaps\\\",\\\"opacity\\\"].forEach((function(t){h(t)}));var g=h(\\\"surfacecolor\\\"),v=[\\\"x\\\",\\\"y\\\",\\\"z\\\"];for(u=0;u<3;++u){var y=\\\"contours.\\\"+v[u],x=h(y+\\\".show\\\"),b=h(y+\\\".highlight\\\");if(x||b)for(f=0;f<3;++f)h(y+\\\".project.\\\"+v[f]);x&&(h(y+\\\".color\\\"),h(y+\\\".width\\\"),h(y+\\\".usecolormap\\\")),b&&(h(y+\\\".highlightcolor\\\"),h(y+\\\".highlightwidth\\\")),h(y+\\\".start\\\"),h(y+\\\".end\\\"),h(y+\\\".size\\\")}g||(l(t,\\\"zmin\\\",\\\"cmin\\\"),l(t,\\\"zmax\\\",\\\"cmax\\\"),l(t,\\\"zauto\\\",\\\"cauto\\\")),a(t,e,c,h,{prefix:\\\"\\\",cLetter:\\\"c\\\"}),s(t,e,c,h),e._length=null}},opacityscaleDefaults:s}},{\\\"../../components/colorscale/defaults\\\":668,\\\"../../lib\\\":795,\\\"../../registry\\\":923,\\\"./attributes\\\":1334}],1338:[function(t,e,r){\\\"use strict\\\";e.exports={attributes:t(\\\"./attributes\\\"),supplyDefaults:t(\\\"./defaults\\\").supplyDefaults,colorbar:{min:\\\"cmin\\\",max:\\\"cmax\\\"},calc:t(\\\"./calc\\\"),plot:t(\\\"./convert\\\"),moduleType:\\\"trace\\\",name:\\\"surface\\\",basePlotModule:t(\\\"../../plots/gl3d\\\"),categories:[\\\"gl3d\\\",\\\"2dMap\\\",\\\"showLegend\\\"],meta:{}}},{\\\"../../plots/gl3d\\\":887,\\\"./attributes\\\":1334,\\\"./calc\\\":1335,\\\"./convert\\\":1336,\\\"./defaults\\\":1337}],1339:[function(t,e,r){\\\"use strict\\\";var n=t(\\\"../../components/annotations/attributes\\\"),i=t(\\\"../../lib/extend\\\").extendFlat,a=t(\\\"../../plot_api/edit_types\\\").overrideAll,o=t(\\\"../../plots/font_attributes\\\"),s=t(\\\"../../plots/domain\\\").attributes;t(\\\"../../constants/docs\\\").FORMAT_LINK;(e.exports=a({domain:s({name:\\\"table\\\",trace:!0}),columnwidth:{valType:\\\"number\\\",arrayOk:!0,dflt:null},columnorder:{valType:\\\"data_array\\\"},header:{values:{valType:\\\"data_array\\\",dflt:[]},format:{valType:\\\"data_array\\\",dflt:[]},prefix:{valType:\\\"string\\\",arrayOk:!0,dflt:null},suffix:{valType:\\\"string\\\",arrayOk:!0,dflt:null},height:{valType:\\\"number\\\",dflt:28},align:i({},n.align,{arrayOk:!0}),line:{width:{valType:\\\"number\\\",arrayOk:!0,dflt:1},color:{valType:\\\"color\\\",arrayOk:!0,dflt:\\\"grey\\\"}},fill:{color:{valType:\\\"color\\\",arrayOk:!0,dflt:\\\"white\\\"}},font:i({},o({arrayOk:!0}))},cells:{values:{valType:\\\"data_array\\\",dflt:[]},format:{valType:\\\"data_array\\\",dflt:[]},prefix:{valType:\\\"string\\\",arrayOk:!0,dflt:null},suffix:{valType:\\\"string\\\",arrayOk:!0,dflt:null},height:{valType:\\\"number\\\",dflt:20},align:i({},n.align,{arrayOk:!0}),line:{width:{valType:\\\"number\\\",arrayOk:!0,dflt:1},color:{valType:\\\"color\\\",arrayOk:!0,dflt:\\\"grey\\\"}},fill:{color:{valType:\\\"color\\\",arrayOk:!0,dflt:\\\"white\\\"}},font:i({},o({arrayOk:!0}))}},\\\"calc\\\",\\\"from-root\\\")).transforms=void 0},{\\\"../../components/annotations/attributes\\\":641,\\\"../../constants/docs\\\":766,\\\"../../lib/extend\\\":785,\\\"../../plot_api/edit_types\\\":827,\\\"../../plots/domain\\\":872,\\\"../../plots/font_attributes\\\":873}],1340:[function(t,e,r){\\\"use strict\\\";var n=t(\\\"../../plots/get_data\\\").getModuleCalcData,i=t(\\\"./plot\\\");r.name=\\\"table\\\",r.plot=function(t){var e=n(t.calcdata,\\\"table\\\")[0];e.length&&i(t,e)},r.clean=function(t,e,r,n){var i=n._has&&n._has(\\\"table\\\"),a=e._has&&e._has(\\\"table\\\");i&&!a&&n._paperdiv.selectAll(\\\".table\\\").remove()}},{\\\"../../plots/get_data\\\":882,\\\"./plot\\\":1347}],1341:[function(t,e,r){\\\"use strict\\\";var n=t(\\\"../../lib/gup\\\").wrap;e.exports=function(){return n({})}},{\\\"../../lib/gup\\\":792}],1342:[function(t,e,r){\\\"use strict\\\";e.exports={cellPad:8,columnExtentOffset:10,columnTitleOffset:28,emptyHeaderHeight:16,latexCheck:/^\\\\$.*\\\\$$/,goldenRatio:1.618,lineBreaker:\\\"<br>\\\",maxDimensionCount:60,overdrag:45,releaseTransitionDuration:120,releaseTransitionEase:\\\"cubic-out\\\",scrollbarCaptureWidth:18,scrollbarHideDelay:1e3,scrollbarHideDuration:1e3,scrollbarOffset:5,scrollbarWidth:8,transitionDuration:100,transitionEase:\\\"cubic-out\\\",uplift:5,wrapSpacer:\\\" \\\",wrapSplitCharacter:\\\" \\\",cn:{table:\\\"table\\\",tableControlView:\\\"table-control-view\\\",scrollBackground:\\\"scroll-background\\\",yColumn:\\\"y-column\\\",columnBlock:\\\"column-block\\\",scrollAreaClip:\\\"scroll-area-clip\\\",scrollAreaClipRect:\\\"scroll-area-clip-rect\\\",columnBoundary:\\\"column-boundary\\\",columnBoundaryClippath:\\\"column-boundary-clippath\\\",columnBoundaryRect:\\\"column-boundary-rect\\\",columnCells:\\\"column-cells\\\",columnCell:\\\"column-cell\\\",cellRect:\\\"cell-rect\\\",cellText:\\\"cell-text\\\",cellTextHolder:\\\"cell-text-holder\\\",scrollbarKit:\\\"scrollbar-kit\\\",scrollbar:\\\"scrollbar\\\",scrollbarSlider:\\\"scrollbar-slider\\\",scrollbarGlyph:\\\"scrollbar-glyph\\\",scrollbarCaptureZone:\\\"scrollbar-capture-zone\\\"}}},{}],1343:[function(t,e,r){\\\"use strict\\\";var n=t(\\\"./constants\\\"),i=t(\\\"../../lib/extend\\\").extendFlat,a=t(\\\"fast-isnumeric\\\");function o(t){if(Array.isArray(t)){for(var e=0,r=0;r<t.length;r++)e=Math.max(e,o(t[r]));return e}return t}function s(t,e){return t+e}function l(t){var e,r=t.slice(),n=1/0,i=0;for(e=0;e<r.length;e++)Array.isArray(r[e])||(r[e]=[r[e]]),n=Math.min(n,r[e].length),i=Math.max(i,r[e].length);if(n!==i)for(e=0;e<r.length;e++){var a=i-r[e].length;a&&(r[e]=r[e].concat(c(a)))}return r}function c(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=\\\"\\\";return e}function u(t){return t.calcdata.columns.reduce((function(e,r){return r.xIndex<t.xIndex?e+r.columnWidth:e}),0)}function f(t,e){return Object.keys(t).map((function(r){return i({},t[r],{auxiliaryBlocks:e})}))}function h(t,e){for(var r,n={},i=0,a=0,o={firstRowIndex:null,lastRowIndex:null,rows:[]},s=0,l=0,c=0;c<t.length;c++)r=t[c],o.rows.push({rowIndex:c,rowHeight:r}),((a+=r)>=e||c===t.length-1)&&(n[i]=o,o.key=l++,o.firstRowIndex=s,o.lastRowIndex=c,o={firstRowIndex:null,lastRowIndex:null,rows:[]},i+=a,s=c+1,a=0);return n}e.exports=function(t,e){var r=l(e.cells.values),p=function(t){return 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L=Math.max(o(e.header.line.width),o(e.cells.line.width)),C={key:e.uid+t._context.staticPlot,translateX:g.x[0]*t._fullLayout._size.w,translateY:t._fullLayout._size.h*(1-g.y[1]),size:t._fullLayout._size,width:v,maxLineWidth:L,height:y,columnOrder:A,groupHeight:y,rowBlocks:k,headerRowBlocks:T,scrollY:0,cells:i({},e.cells,{values:r}),headerCells:i({},e.header,{values:m}),gdColumns:m.map((function(t){return t[0]})),gdColumnsOriginalOrder:m.map((function(t){return t[0]})),prevPages:[0,0],scrollbarState:{scrollbarScrollInProgress:!1},columns:m.map((function(t,e){var r=M[t];return M[t]=(r||0)+1,{key:t+\\\"__\\\"+M[t],label:t,specIndex:e,xIndex:A[e],xScale:u,x:void 0,calcdata:void 0,columnWidth:S[e]}}))};return C.columns.forEach((function(t){t.calcdata=C,t.x=u(t)})),C}},{\\\"../../lib/extend\\\":785,\\\"./constants\\\":1342,\\\"fast-isnumeric\\\":241}],1344:[function(t,e,r){\\\"use strict\\\";var n=t(\\\"../../lib/extend\\\").extendFlat;r.splitToPanels=function(t){var e=[0,0],r=n({},t,{key:\\\"header\\\",type:\\\"header\\\",page:0,prevPages:e,currentRepaint:[null,null],dragHandle:!0,values:t.calcdata.headerCells.values[t.specIndex],rowBlocks:t.calcdata.headerRowBlocks,calcdata:n({},t.calcdata,{cells:t.calcdata.headerCells})});return[n({},t,{key:\\\"cells1\\\",type:\\\"cells\\\",page:0,prevPages:e,currentRepaint:[null,null],dragHandle:!1,values:t.calcdata.cells.values[t.specIndex],rowBlocks:t.calcdata.rowBlocks}),n({},t,{key:\\\"cells2\\\",type:\\\"cells\\\",page:1,prevPages:e,currentRepaint:[null,null],dragHandle:!1,values:t.calcdata.cells.values[t.specIndex],rowBlocks:t.calcdata.rowBlocks}),r]},r.splitToCells=function(t){var e=function(t){var e=t.rowBlocks[t.page],r=e?e.rows[0].rowIndex:0,n=e?r+e.rows.length:0;return[r,n]}(t);return(t.values||[]).slice(e[0],e[1]).map((function(r,n){return{keyWithinBlock:n+(\\\"string\\\"==typeof r&&r.match(/[<$&> 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a.indexOf(t)})),s=o.length;s<n;s++)o.push(s);e(\\\"columnorder\\\",o)}(e,s),s(\\\"cells.values\\\"),s(\\\"cells.format\\\"),s(\\\"cells.align\\\"),s(\\\"cells.prefix\\\"),s(\\\"cells.suffix\\\"),s(\\\"cells.height\\\"),s(\\\"cells.line.width\\\"),s(\\\"cells.line.color\\\"),s(\\\"cells.fill.color\\\"),n.coerceFont(s,\\\"cells.font\\\",n.extendFlat({},o.font)),e._length=null}},{\\\"../../lib\\\":795,\\\"../../plots/domain\\\":872,\\\"./attributes\\\":1339}],1346:[function(t,e,r){\\\"use strict\\\";e.exports={attributes:t(\\\"./attributes\\\"),supplyDefaults:t(\\\"./defaults\\\"),calc:t(\\\"./calc\\\"),plot:t(\\\"./plot\\\"),moduleType:\\\"trace\\\",name:\\\"table\\\",basePlotModule:t(\\\"./base_plot\\\"),categories:[\\\"noOpacity\\\"],meta:{}}},{\\\"./attributes\\\":1339,\\\"./base_plot\\\":1340,\\\"./calc\\\":1341,\\\"./defaults\\\":1345,\\\"./plot\\\":1347}],1347:[function(t,e,r){\\\"use strict\\\";var n=t(\\\"./constants\\\"),i=t(\\\"@plotly/d3\\\"),a=t(\\\"../../lib/gup\\\"),o=t(\\\"../../components/drawing\\\"),s=t(\\\"../../lib/svg_text_utils\\\"),l=t(\\\"../../lib\\\").raiseToTop,c=t(\\\"../../lib\\\").strTranslate,u=t(\\\"../../lib\\\").cancelTransition,f=t(\\\"./data_preparation_helper\\\"),h=t(\\\"./data_split_helpers\\\"),p=t(\\\"../../components/color\\\");function d(t){return Math.ceil(t.calcdata.maxLineWidth/2)}function m(t,e){return\\\"clip\\\"+t._fullLayout._uid+\\\"_scrollAreaBottomClip_\\\"+e.key}function g(t,e){return\\\"clip\\\"+t._fullLayout._uid+\\\"_columnBoundaryClippath_\\\"+e.calcdata.key+\\\"_\\\"+e.specIndex}function v(t){return[].concat.apply([],t.map((function(t){return t}))).map((function(t){return t.__data__}))}function y(t,e,r){var o=t.selectAll(\\\".\\\"+n.cn.scrollbarKit).data(a.repeat,a.keyFun);o.enter().append(\\\"g\\\").classed(n.cn.scrollbarKit,!0).style(\\\"shape-rendering\\\",\\\"geometricPrecision\\\"),o.each((function(t){var e=t.scrollbarState;e.totalHeight=function(t){var e=t.rowBlocks;return z(e,e.length-1)+(e.length?D(e[e.length-1],1/0):1)}(t),e.scrollableAreaHeight=t.groupHeight-A(t),e.currentlyVisibleHeight=Math.min(e.totalHeight,e.scrollableAreaHeight),e.ratio=e.currentlyVisibleHeight/e.totalHeight,e.barLength=Math.max(e.ratio*e.currentlyVisibleHeight,n.goldenRatio*n.scrollbarWidth),e.barWiggleRoom=e.currentlyVisibleHeight-e.barLength,e.wiggleRoom=Math.max(0,e.totalHeight-e.scrollableAreaHeight),e.topY=0===e.barWiggleRoom?0:t.scrollY/e.wiggleRoom*e.barWiggleRoom,e.bottomY=e.topY+e.barLength,e.dragMultiplier=e.wiggleRoom/e.barWiggleRoom})).attr(\\\"transform\\\",(function(t){var e=t.width+n.scrollbarWidth/2+n.scrollbarOffset;return c(e,A(t))}));var s=o.selectAll(\\\".\\\"+n.cn.scrollbar).data(a.repeat,a.keyFun);s.enter().append(\\\"g\\\").classed(n.cn.scrollbar,!0);var 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O=I.selectAll(\\\".\\\"+n.cn.scrollAreaClipRect).data(a.repeat,a.keyFun);O.enter().append(\\\"rect\\\").classed(n.cn.scrollAreaClipRect,!0).attr(\\\"x\\\",-n.overdrag).attr(\\\"y\\\",-n.uplift).attr(\\\"fill\\\",\\\"none\\\"),O.attr(\\\"width\\\",(function(t){return t.width+2*n.overdrag})).attr(\\\"height\\\",(function(t){return t.height+n.uplift})),A.selectAll(\\\".\\\"+n.cn.columnBoundary).data(a.repeat,a.keyFun).enter().append(\\\"g\\\").classed(n.cn.columnBoundary,!0);var z=A.selectAll(\\\".\\\"+n.cn.columnBoundaryClippath).data(a.repeat,a.keyFun);z.enter().append(\\\"clipPath\\\").classed(n.cn.columnBoundaryClippath,!0),z.attr(\\\"id\\\",(function(e){return g(t,e)}));var D=z.selectAll(\\\".\\\"+n.cn.columnBoundaryRect).data(a.repeat,a.keyFun);D.enter().append(\\\"rect\\\").classed(n.cn.columnBoundaryRect,!0).attr(\\\"fill\\\",\\\"none\\\"),D.attr(\\\"width\\\",(function(t){return t.columnWidth+2*d(t)})).attr(\\\"height\\\",(function(t){return t.calcdata.height+2*d(t)+n.uplift})).attr(\\\"x\\\",(function(t){return-d(t)})).attr(\\\"y\\\",(function(t){return-d(t)})),S(null,P,p)}},{\\\"../../components/color\\\":658,\\\"../../components/drawing\\\":680,\\\"../../lib\\\":795,\\\"../../lib/gup\\\":792,\\\"../../lib/svg_text_utils\\\":820,\\\"./constants\\\":1342,\\\"./data_preparation_helper\\\":1343,\\\"./data_split_helpers\\\":1344,\\\"@plotly/d3\\\":58}],1348:[function(t,e,r){\\\"use strict\\\";var n=t(\\\"../../plots/template_attributes\\\").hovertemplateAttrs,i=t(\\\"../../plots/template_attributes\\\").texttemplateAttrs,a=t(\\\"../../components/colorscale/attributes\\\"),o=t(\\\"../../plots/domain\\\").attributes,s=t(\\\"../pie/attributes\\\"),l=t(\\\"../sunburst/attributes\\\"),c=t(\\\"./constants\\\"),u=t(\\\"../../lib/extend\\\").extendFlat;e.exports={labels:l.labels,parents:l.parents,values:l.values,branchvalues:l.branchvalues,count:l.count,level:l.level,maxdepth:l.maxdepth,tiling:{packing:{valType:\\\"enumerated\\\",values:[\\\"squarify\\\",\\\"binary\\\",\\\"dice\\\",\\\"slice\\\",\\\"slice-dice\\\",\\\"dice-slice\\\"],dflt:\\\"squarify\\\",editType:\\\"plot\\\"},squarifyratio:{valType:\\\"number\\\",min:1,dflt:1,editType:\\\"plot\\\"},flip:{valType:\\\"flaglist\\\",flags:[\\\"x\\\",\\\"y\\\"],dflt:\\\"\\\",editType:\\\"plot\\\"},pad:{valType:\\\"number\\\",min:0,dflt:3,editType:\\\"plot\\\"},editType:\\\"calc\\\"},marker:u({pad:{t:{valType:\\\"number\\\",min:0,editType:\\\"plot\\\"},l:{valType:\\\"number\\\",min:0,editType:\\\"plot\\\"},r:{valType:\\\"number\\\",min:0,editType:\\\"plot\\\"},b:{valType:\\\"number\\\",min:0,editType:\\\"plot\\\"},editType:\\\"calc\\\"},colors:l.marker.colors,depthfade:{valType:\\\"enumerated\\\",values:[!0,!1,\\\"reversed\\\"],editType:\\\"style\\\"},line:l.marker.line,editType:\\\"calc\\\"},a(\\\"marker\\\",{colorAttr:\\\"colors\\\",anim:!1})),pathbar:{visible:{valType:\\\"boolean\\\",dflt:!0,editType:\\\"plot\\\"},side:{valType:\\\"enumerated\\\",values:[\\\"top\\\",\\\"bottom\\\"],dflt:\\\"top\\\",editType:\\\"plot\\\"},edgeshape:{valType:\\\"enumerated\\\",values:[\\\">\\\",\\\"<\\\",\\\"|\\\",\\\"/\\\",\\\"\\\\\\\\\\\"],dflt:\\\">\\\",editType:\\\"plot\\\"},thickness:{valType:\\\"number\\\",min:12,editType:\\\"plot\\\"},textfont:u({},s.textfont,{}),editType:\\\"calc\\\"},text:s.text,textinfo:l.textinfo,texttemplate:i({editType:\\\"plot\\\"},{keys:c.eventDataKeys.concat([\\\"label\\\",\\\"value\\\"])}),hovertext:s.hovertext,hoverinfo:l.hoverinfo,hovertemplate:n({},{keys:c.eventDataKeys}),textfont:s.textfont,insidetextfont:s.insidetextfont,outsidetextfont:u({},s.outsidetextfont,{}),textposition:{valType:\\\"enumerated\\\",values:[\\\"top 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m=h(\\\"values\\\");m&&m.length?h(\\\"branchvalues\\\"):h(\\\"count\\\"),h(\\\"level\\\"),h(\\\"maxdepth\\\"),\\\"squarify\\\"===h(\\\"tiling.packing\\\")&&h(\\\"tiling.squarifyratio\\\"),h(\\\"tiling.flip\\\"),h(\\\"tiling.pad\\\");var g=h(\\\"text\\\");h(\\\"texttemplate\\\"),e.texttemplate||h(\\\"textinfo\\\",Array.isArray(g)?\\\"text+label\\\":\\\"label\\\"),h(\\\"hovertext\\\"),h(\\\"hovertemplate\\\");var v=h(\\\"pathbar.visible\\\");s(t,e,c,h,\\\"auto\\\",{hasPathbar:v,moduleHasSelected:!1,moduleHasUnselected:!1,moduleHasConstrain:!1,moduleHasCliponaxis:!1,moduleHasTextangle:!1,moduleHasInsideanchor:!1}),h(\\\"textposition\\\");var y=-1!==e.textposition.indexOf(\\\"bottom\\\");h(\\\"marker.line.width\\\")&&h(\\\"marker.line.color\\\",c.paper_bgcolor);var x=h(\\\"marker.colors\\\");(e._hasColorscale=u(t,\\\"marker\\\",\\\"colors\\\")||(t.marker||{}).coloraxis)?f(t,e,c,h,{prefix:\\\"marker.\\\",cLetter:\\\"c\\\"}):h(\\\"marker.depthfade\\\",!(x||[]).length);var b=2*e.textfont.size;h(\\\"marker.pad.t\\\",y?b/4:b),h(\\\"marker.pad.l\\\",b/4),h(\\\"marker.pad.r\\\",b/4),h(\\\"marker.pad.b\\\",y?b:b/4),e._hovered={marker:{line:{width:2,color:a.contrast(c.paper_bgcolor)}}},v&&(h(\\\"pathbar.thickness\\\",e.pathbar.textfont.size+2*l),h(\\\"pathbar.side\\\"),h(\\\"pathbar.edgeshape\\\")),h(\\\"sort\\\"),h(\\\"root.color\\\"),o(e,c,h),e._length=null}else e.visible=!1}},{\\\"../../components/color\\\":658,\\\"../../components/colorscale\\\":670,\\\"../../lib\\\":795,\\\"../../plots/domain\\\":872,\\\"../bar/constants\\\":935,\\\"../bar/defaults\\\":937,\\\"./attributes\\\":1348}],1353:[function(t,e,r){\\\"use strict\\\";var n=t(\\\"@plotly/d3\\\"),i=t(\\\"../sunburst/helpers\\\"),a=t(\\\"../bar/uniform_text\\\").clearMinTextSize,o=t(\\\"../bar/style\\\").resizeText,s=t(\\\"./plot_one\\\");e.exports=function(t,e,r,l,c){var u,f,h=c.type,p=c.drawDescendants,d=t._fullLayout,m=d[\\\"_\\\"+h+\\\"layer\\\"],g=!r;(a(h,d),(u=m.selectAll(\\\"g.trace.\\\"+h).data(e,(function(t){return t[0].trace.uid}))).enter().append(\\\"g\\\").classed(\\\"trace\\\",!0).classed(h,!0),u.order(),!d.uniformtext.mode&&i.hasTransition(r))?(l&&(f=l()),n.transition().duration(r.duration).ease(r.easing).each(\\\"end\\\",(function(){f&&f()})).each(\\\"interrupt\\\",(function(){f&&f()})).each((function(){m.selectAll(\\\"g.trace\\\").each((function(e){s(t,e,this,r,p)}))}))):(u.each((function(e){s(t,e,this,r,p)})),d.uniformtext.mode&&o(t,m.selectAll(\\\".trace\\\"),h));g&&u.exit().remove()}},{\\\"../bar/style\\\":947,\\\"../bar/uniform_text\\\":949,\\\"../sunburst/helpers\\\":1328,\\\"./plot_one\\\":1362,\\\"@plotly/d3\\\":58}],1354:[function(t,e,r){\\\"use strict\\\";var n=t(\\\"@plotly/d3\\\"),i=t(\\\"../../lib\\\"),a=t(\\\"../../components/drawing\\\"),o=t(\\\"../../lib/svg_text_utils\\\"),s=t(\\\"./partition\\\"),l=t(\\\"./style\\\").styleOne,c=t(\\\"./constants\\\"),u=t(\\\"../sunburst/helpers\\\"),f=t(\\\"../sunburst/fx\\\");e.exports=function(t,e,r,h,p){var d=p.barDifY,m=p.width,g=p.height,v=p.viewX,y=p.viewY,x=p.pathSlice,b=p.toMoveInsideSlice,_=p.strTransform,w=p.hasTransition,T=p.handleSlicesExit,k=p.makeUpdateSliceInterpolator,M=p.makeUpdateTextInterpolator,A={},S=t._fullLayout,E=e[0],L=E.trace,C=E.hierarchy,P=m/L._entryDepth,I=u.listPath(r.data,\\\"id\\\"),O=s(C.copy(),[m,g],{packing:\\\"dice\\\",pad:{inner:0,top:0,left:0,right:0,bottom:0}}).descendants();(O=O.filter((function(t){var e=I.indexOf(t.data.id);return-1!==e&&(t.x0=P*e,t.x1=P*(e+1),t.y0=d,t.y1=d+g,t.onPathbar=!0,!0)}))).reverse(),(h=h.data(O,u.getPtId)).enter().append(\\\"g\\\").classed(\\\"pathbar\\\",!0),T(h,!0,A,[m,g],x),h.order();var z=h;w&&(z=z.transition().each(\\\"end\\\",(function(){var e=n.select(this);u.setSliceCursor(e,t,{hideOnRoot:!1,hideOnLeaves:!1,isTransitioning:!1})}))),z.each((function(s){s._hoverX=v(s.x1-Math.min(m,g)/2),s._hoverY=y(s.y1-g/2);var h=n.select(this),p=i.ensureSingle(h,\\\"path\\\",\\\"surface\\\",(function(t){t.style(\\\"pointer-events\\\",\\\"all\\\")}));w?p.transition().attrTween(\\\"d\\\",(function(t){var e=k(t,!0,A,[m,g]);return function(t){return x(e(t))}})):p.attr(\\\"d\\\",x),h.call(f,r,t,e,{styleOne:l,eventDataKeys:c.eventDataKeys,transitionTime:c.CLICK_TRANSITION_TIME,transitionEasing:c.CLICK_TRANSITION_EASING}).call(u.setSliceCursor,t,{hideOnRoot:!1,hideOnLeaves:!1,isTransitioning:t._transitioning}),p.call(l,s,L,{hovered:!1}),s._text=(u.getPtLabel(s)||\\\"\\\").split(\\\"<br>\\\").join(\\\" \\\")||\\\"\\\";var d=i.ensureSingle(h,\\\"g\\\",\\\"slicetext\\\"),T=i.ensureSingle(d,\\\"text\\\",\\\"\\\",(function(t){t.attr(\\\"data-notex\\\",1)})),E=i.ensureUniformFontSize(t,u.determineTextFont(L,s,S.font,{onPathbar:!0}));T.text(s._text||\\\" \\\").classed(\\\"slicetext\\\",!0).attr(\\\"text-anchor\\\",\\\"start\\\").call(a.font,E).call(o.convertToTspans,t),s.textBB=a.bBox(T.node()),s.transform=b(s,{fontSize:E.size,onPathbar:!0}),s.transform.fontSize=E.size,w?T.transition().attrTween(\\\"transform\\\",(function(t){var e=M(t,!0,A,[m,g]);return function(t){return _(e(t))}})):T.attr(\\\"transform\\\",_(s))}))}},{\\\"../../components/drawing\\\":680,\\\"../../lib\\\":795,\\\"../../lib/svg_text_utils\\\":820,\\\"../sunburst/fx\\\":1327,\\\"../sunburst/helpers\\\":1328,\\\"./constants\\\":1351,\\\"./partition\\\":1360,\\\"./style\\\":1363,\\\"@plotly/d3\\\":58}],1355:[function(t,e,r){\\\"use strict\\\";var n=t(\\\"@plotly/d3\\\"),i=t(\\\"../../lib\\\"),a=t(\\\"../../components/drawing\\\"),o=t(\\\"../../lib/svg_text_utils\\\"),s=t(\\\"./partition\\\"),l=t(\\\"./style\\\").styleOne,c=t(\\\"./constants\\\"),u=t(\\\"../sunburst/helpers\\\"),f=t(\\\"../sunburst/fx\\\"),h=t(\\\"../sunburst/plot\\\").formatSliceLabel;e.exports=function(t,e,r,p,d){var m=d.width,g=d.height,v=d.viewX,y=d.viewY,x=d.pathSlice,b=d.toMoveInsideSlice,_=d.strTransform,w=d.hasTransition,T=d.handleSlicesExit,k=d.makeUpdateSliceInterpolator,M=d.makeUpdateTextInterpolator,A=d.prevEntry,S=t._fullLayout,E=e[0].trace,L=-1!==E.textposition.indexOf(\\\"left\\\"),C=-1!==E.textposition.indexOf(\\\"right\\\"),P=-1!==E.textposition.indexOf(\\\"bottom\\\"),I=!P&&!E.marker.pad.t||P&&!E.marker.pad.b,O=s(r,[m,g],{packing:E.tiling.packing,squarifyratio:E.tiling.squarifyratio,flipX:E.tiling.flip.indexOf(\\\"x\\\")>-1,flipY:E.tiling.flip.indexOf(\\\"y\\\")>-1,pad:{inner:E.tiling.pad,top:E.marker.pad.t,left:E.marker.pad.l,right:E.marker.pad.r,bottom:E.marker.pad.b}}).descendants(),z=1/0,D=-1/0;O.forEach((function(t){var e=t.depth;e>=E._maxDepth?(t.x0=t.x1=(t.x0+t.x1)/2,t.y0=t.y1=(t.y0+t.y1)/2):(z=Math.min(z,e),D=Math.max(D,e))})),p=p.data(O,u.getPtId),E._maxVisibleLayers=isFinite(D)?D-z+1:0,p.enter().append(\\\"g\\\").classed(\\\"slice\\\",!0),T(p,!1,{},[m,g],x),p.order();var 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 1.754385810273635e-9,\n          1.906170590977241e-8,\n          1.659275456764708e-7,\n          1.1578155089789796e-6,\n          6.485433710316545e-6,\n          0.00002926530936634115,\n          0.00010731058630356214,\n          0.0003262674683511471,\n          0.0008576420755091144,\n          0.002082976740180422,\n          0.004955614942467409,\n          0.01148761177138885,\n          0.02435862185709215,\n          0.04432717835978114,\n          0.06663644936320712,\n          0.08127657631756724,\n          0.07982062763063544,\n          0.06292381593024078,\n          0.039767568087653096,\n          0.02013936282537139,\n          0.008171140517687542,\n          0.0026558797837796023,\n          0.0006915333077871232,\n          0.00014427457679795457,\n          0.000024443247297229565,\n          6.005022593573768e-6,\n          0.00001842826964170639,\n          0.00009425702758825052,\n          0.0003932429995261868,\n          0.001314319408248712,\n          0.003518060000984162,\n          0.007541640306934595,\n          0.012947580052101733,\n          0.01780211533909681,\n          0.019602652091111863,\n          0.017286945774281838,\n          0.012209051432916273,\n          0.006905669553062605,\n          0.0031281666268296177,\n          0.00113483881105728,\n          0.0003297150041549276,\n          0.00007671928569642125,\n          0.00001429954687227216,\n          2.1722933360041406e-6,\n          6.428380137123092e-7,\n          3.1377751776808107e-6,\n          0.000020018104189927804,\n          0.00010306122594961192,\n          0.0004249790441428568,\n          0.0014034612144295298,\n          0.003711876656989685,\n          0.007862250447510013,\n          0.013337069899335353,\n          0.01811899881914943,\n          0.019713701761649948,\n          0.017177595962341544,\n          0.011987173761084146,\n          0.006699330971126916,\n          0.0029985153976938655,\n          0.0010748338828787383,\n      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(11-2)\\\",\\\"<br>2&#952;:  22.97<br>d: 3.8723<br>I: 0.4923</br>hkl: (211)\\\",\\\"<br>2&#952;:  22.97<br>d: 3.8721<br>I: 0.4639</br>hkl: (112)\\\",\\\"<br>2&#952;:  23.65<br>d: 3.7618<br>I: 0.1719</br>hkl: (202)\\\",\\\"<br>2&#952;:  23.89<br>d: 3.7246<br>I: 0.0241</br>hkl: (300)\\\",\\\"<br>2&#952;:  25.33<br>d: 3.5166<br>I: 0.0451</br>hkl: (21-2)\\\",\\\"<br>2&#952;:  27.26<br>d: 3.2720<br>I: 0.1380</br>hkl: (020)\\\",\\\"<br>2&#952;:  27.35<br>d: 3.2614<br>I: 0.5063</br>hkl: (212)\\\",\\\"<br>2&#952;:  27.38<br>d: 3.2570<br>I: 0.0187</br>hkl: (30-2)\\\",\\\"<br>2&#952;:  27.56<br>d: 3.2370<br>I: 0.5062</br>hkl: (310)\\\",\\\"<br>2&#952;:  28.01<br>d: 3.1860<br>I: 0.0542</br>hkl: (31-1)\\\",\\\"<br>2&#952;:  28.01<br>d: 3.1856<br>I: 0.0334</br>hkl: (11-3)\\\",\\\"<br>2&#952;:  28.42<br>d: 3.1401<br>I: 0.0121</br>hkl: (120)\\\",\\\"<br>2&#952;:  29.40<br>d: 3.0375<br>I: 0.0716</br>hkl: (311)\\\",\\\"<br>2&#952;:  29.41<br>d: 3.0372<br>I: 0.0232</br>hkl: (113)\\\",\\\"<br>2&#952;:  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(notebookContainer) {{\\n\",\n       \"    x.observe(notebookContainer, {childList: true});\\n\",\n       \"}}\\n\",\n       \"\\n\",\n       \"// Listen for the clearing of the current output cell\\n\",\n       \"var outputEl = gd.closest('.output');\\n\",\n       \"if (outputEl) {{\\n\",\n       \"    x.observe(outputEl, {childList: true});\\n\",\n       \"}}\\n\",\n       \"\\n\",\n       \"                        })                };                });            </script>        </div>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"# plot XRD\\n\",\n    \"xrd.plotly_pxrd()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 6,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"# Now we randomly perturb the crystal\\n\",\n    \"xtal2 = xtal1.copy()\\n\",\n    \"xtal2.apply_perturbation(d_lat=0.02)\\n\",\n    \"xrd2 = xtal2.get_XRD(thetas=[0, 35])\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 7,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"The similarity between two PXRDs is 0.9914\\n\"\n     ]\n    },\n    {\n     \"data\": {\n      \"image/png\": 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\\n\",\n      \"text/plain\": [\n       \"<Figure size 1080x432 with 2 Axes>\"\n      ]\n     },\n     \"metadata\": {\n      \"needs_background\": \"light\"\n     },\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"# Compare the the PXRDs of two structures\\n\",\n    \"p1 = xrd.get_profile()\\n\",\n    \"p2 = xrd2.get_profile()\\n\",\n    \"s = Similarity(p1, p2, x_range=[0,35])\\n\",\n    \"print(s)\\n\",\n    \"s.show()\"\n   ]\n  }\n ],\n \"metadata\": {\n  \"@webio\": {\n   \"lastCommId\": null,\n   \"lastKernelId\": null\n  },\n  \"kernelspec\": {\n   \"display_name\": \"Python 3 (ipykernel)\",\n   \"language\": \"python\",\n   \"name\": \"python3\"\n  },\n  \"language_info\": {\n   \"codemirror_mode\": {\n    \"name\": \"ipython\",\n    \"version\": 3\n   },\n   \"file_extension\": \".py\",\n   \"mimetype\": \"text/x-python\",\n   \"name\": \"python\",\n   \"nbconvert_exporter\": \"python\",\n   \"pygments_lexer\": \"ipython3\",\n   \"version\": \"3.7.12\"\n  }\n },\n \"nbformat\": 4,\n \"nbformat_minor\": 4\n}\n"
  },
  {
    "path": "examples/tutorials_notebook/04_box.ipynb",
    "content": "{\n \"cells\": [\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"7fb27b941602401d91542211134fc71a\",\n   \"metadata\": {},\n   \"source\": [\n    \"# Tutorial 4: Neighboring environment in molecular xtal\\n\",\n    \"\\n\",\n    \"Source code: https://github.com/qzhu2017/PyXtal\\n\",\n    \"\\n\",\n    \"Created by Qiang Zhu (2021/07/02)\\n\",\n    \"\\n\",\n    \"Last updated: 2021/12/06\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"acae54e37e7d407bbb7b55eff062a284\",\n   \"metadata\": {},\n   \"source\": [\n    \"## Preparation\\n\",\n    \"\\n\",\n    \"- git clone the most recent copy of pyxtal\\n\",\n    \"- `conda install -c conda-forge rdkit==2021.09.2`\\n\",\n    \"- `python setup.py install`\\n\",\n    \"- download the cif file from https://www.ccdc.cam.ac.uk/structures/Search?Ccdcid=ABAVUW\\n\",\n    \"- name the cif file as `ABAVUW.cif`\\n\",\n    \"- draw smiles: http://www.cheminfo.org/flavor/malaria/Utilities/SMILES_generator___checker/index.html\\n\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 1,\n   \"id\": \"9a63283cbaf04dbcab1f6479b197f3a8\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"\\n\",\n      \"------Crystal from Seed------\\n\",\n      \"Dimension: 3\\n\",\n      \"Composition: [CC(C)(C)C1=CC(=C(C(=C1)OC)O)C=NO]4\\n\",\n      \"Group: P 21 21 21 (19)\\n\",\n      \"  9.6192,  10.6124,  11.8069,  90.0000,  90.0000,  90.0000, orthorhombic\\n\",\n      \"Wyckoff sites:\\n\",\n      \"\\tH17C12N1O3   @ [ 0.9353  0.3662  0.4499]  WP [4a] Site [1] Euler [   0.0    0.0    0.0]\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"from pyxtal import pyxtal\\n\",\n    \"\\n\",\n    \"s = pyxtal(molecular=True)\\n\",\n    \"s.from_seed(\\\"ABAVUW.cif\\\", [\\\"CC(C)(C)C1=CC(=C(C(=C1)OC)O)C=NO.smi\\\"])\\n\",\n    \"print(s)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 2,\n   \"id\": \"8dd0d8092fe74a7c96281538738b07e2\",\n   \"metadata\": {\n    \"scrolled\": false\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"# view the site\\n\",\n    \"site = s.mol_sites[0]\\n\",\n    \"pm = site.molecule\\n\",\n    \"xyz = pm.mol.cart_coords\\n\",\n    \"cell, pt, center = pm.get_box_coordinates(xyz, resolution=1.0)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 3,\n   \"id\": \"72eea5119410473aa328ad9291626812\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"name\": \"stderr\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"==============================\\n\",\n      \"*** Open Babel Error  in LoadAllPlugins\\n\",\n      \"  Unable to find OpenBabel plugins. Try setting the BABEL_LIBDIR environment variable.\\n\"\n     ]\n    },\n    {\n     \"data\": {\n      \"application/3dmoljs_load.v0\": \"<div id=\\\"3dmolviewer_1660223291473238\\\"  style=\\\"position: relative; width: 400px; height: 300px\\\">\\n        <p id=\\\"3dmolwarning_1660223291473238\\\" style=\\\"background-color:#ffcccc;color:black\\\">You appear to be running in JupyterLab (or JavaScript failed to load for some other reason).  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this},a.prototype.add=function(t){var e;return 0!==t.negative&&0===this.negative?(t.negative=0,e=this.sub(t),t.negative^=1,e):0===t.negative&&0!==this.negative?(this.negative=0,e=t.sub(this),this.negative=1,e):this.length>t.length?this.clone().iadd(t):t.clone().iadd(this)},a.prototype.isub=function(t){if(0!==t.negative){t.negative=0;var e=this.iadd(t);return t.negative=1,e._normSign()}if(0!==this.negative)return this.negative=0,this.iadd(t),this.negative=1,this._normSign();var r,n,i=this.cmp(t);if(0===i)return this.negative=0,this.length=1,this.words[0]=0,this;i>0?(r=this,n=t):(r=t,n=this);for(var a=0,o=0;o<n.length;o++)a=(e=(0|r.words[o])-(0|n.words[o])+a)>>26,this.words[o]=67108863&e;for(;0!==a&&o<r.length;o++)a=(e=(0|r.words[o])+a)>>26,this.words[o]=67108863&e;if(0===a&&o<r.length&&r!==this)for(;o<r.length;o++)this.words[o]=r.words[o];return this.length=Math.max(this.length,o),r!==this&&(this.negative=1),this.strip()},a.prototype.sub=function(t){return this.clone().isub(t)};var p=function(t,e,r){var n,i,a,o=t.words,s=e.words,l=r.words,c=0,u=0|o[0],f=8191&u,h=u>>>13,p=0|o[1],d=8191&p,m=p>>>13,g=0|o[2],v=8191&g,y=g>>>13,x=0|o[3],b=8191&x,_=x>>>13,w=0|o[4],T=8191&w,k=w>>>13,M=0|o[5],A=8191&M,S=M>>>13,E=0|o[6],L=8191&E,C=E>>>13,P=0|o[7],I=8191&P,O=P>>>13,z=0|o[8],D=8191&z,R=z>>>13,F=0|o[9],B=8191&F,N=F>>>13,j=0|s[0],U=8191&j,V=j>>>13,q=0|s[1],H=8191&q,G=q>>>13,Y=0|s[2],W=8191&Y,X=Y>>>13,Z=0|s[3],J=8191&Z,K=Z>>>13,Q=0|s[4],$=8191&Q,tt=Q>>>13,et=0|s[5],rt=8191&et,nt=et>>>13,it=0|s[6],at=8191&it,ot=it>>>13,st=0|s[7],lt=8191&st,ct=st>>>13,ut=0|s[8],ft=8191&ut,ht=ut>>>13,pt=0|s[9],dt=8191&pt,mt=pt>>>13;r.negative=t.negative^e.negative,r.length=19;var gt=(c+(n=Math.imul(f,U))|0)+((8191&(i=(i=Math.imul(f,V))+Math.imul(h,U)|0))<<13)|0;c=((a=Math.imul(h,V))+(i>>>13)|0)+(gt>>>26)|0,gt&=67108863,n=Math.imul(d,U),i=(i=Math.imul(d,V))+Math.imul(m,U)|0,a=Math.imul(m,V);var vt=(c+(n=n+Math.imul(f,H)|0)|0)+((8191&(i=(i=i+Math.imul(f,G)|0)+Math.imul(h,H)|0))<<13)|0;c=((a=a+Math.imul(h,G)|0)+(i>>>13)|0)+(vt>>>26)|0,vt&=67108863,n=Math.imul(v,U),i=(i=Math.imul(v,V))+Math.imul(y,U)|0,a=Math.imul(y,V),n=n+Math.imul(d,H)|0,i=(i=i+Math.imul(d,G)|0)+Math.imul(m,H)|0,a=a+Math.imul(m,G)|0;var yt=(c+(n=n+Math.imul(f,W)|0)|0)+((8191&(i=(i=i+Math.imul(f,X)|0)+Math.imul(h,W)|0))<<13)|0;c=((a=a+Math.imul(h,X)|0)+(i>>>13)|0)+(yt>>>26)|0,yt&=67108863,n=Math.imul(b,U),i=(i=Math.imul(b,V))+Math.imul(_,U)|0,a=Math.imul(_,V),n=n+Math.imul(v,H)|0,i=(i=i+Math.imul(v,G)|0)+Math.imul(y,H)|0,a=a+Math.imul(y,G)|0,n=n+Math.imul(d,W)|0,i=(i=i+Math.imul(d,X)|0)+Math.imul(m,W)|0,a=a+Math.imul(m,X)|0;var xt=(c+(n=n+Math.imul(f,J)|0)|0)+((8191&(i=(i=i+Math.imul(f,K)|0)+Math.imul(h,J)|0))<<13)|0;c=((a=a+Math.imul(h,K)|0)+(i>>>13)|0)+(xt>>>26)|0,xt&=67108863,n=Math.imul(T,U),i=(i=Math.imul(T,V))+Math.imul(k,U)|0,a=Math.imul(k,V),n=n+Math.imul(b,H)|0,i=(i=i+Math.imul(b,G)|0)+Math.imul(_,H)|0,a=a+Math.imul(_,G)|0,n=n+Math.imul(v,W)|0,i=(i=i+Math.imul(v,X)|0)+Math.imul(y,W)|0,a=a+Math.imul(y,X)|0,n=n+Math.imul(d,J)|0,i=(i=i+Math.imul(d,K)|0)+Math.imul(m,J)|0,a=a+Math.imul(m,K)|0;var bt=(c+(n=n+Math.imul(f,$)|0)|0)+((8191&(i=(i=i+Math.imul(f,tt)|0)+Math.imul(h,$)|0))<<13)|0;c=((a=a+Math.imul(h,tt)|0)+(i>>>13)|0)+(bt>>>26)|0,bt&=67108863,n=Math.imul(A,U),i=(i=Math.imul(A,V))+Math.imul(S,U)|0,a=Math.imul(S,V),n=n+Math.imul(T,H)|0,i=(i=i+Math.imul(T,G)|0)+Math.imul(k,H)|0,a=a+Math.imul(k,G)|0,n=n+Math.imul(b,W)|0,i=(i=i+Math.imul(b,X)|0)+Math.imul(_,W)|0,a=a+Math.imul(_,X)|0,n=n+Math.imul(v,J)|0,i=(i=i+Math.imul(v,K)|0)+Math.imul(y,J)|0,a=a+Math.imul(y,K)|0,n=n+Math.imul(d,$)|0,i=(i=i+Math.imul(d,tt)|0)+Math.imul(m,$)|0,a=a+Math.imul(m,tt)|0;var _t=(c+(n=n+Math.imul(f,rt)|0)|0)+((8191&(i=(i=i+Math.imul(f,nt)|0)+Math.imul(h,rt)|0))<<13)|0;c=((a=a+Math.imul(h,nt)|0)+(i>>>13)|0)+(_t>>>26)|0,_t&=67108863,n=Math.imul(L,U),i=(i=Math.imul(L,V))+Math.imul(C,U)|0,a=Math.imul(C,V),n=n+Math.imul(A,H)|0,i=(i=i+Math.imul(A,G)|0)+Math.imul(S,H)|0,a=a+Math.imul(S,G)|0,n=n+Math.imul(T,W)|0,i=(i=i+Math.imul(T,X)|0)+Math.imul(k,W)|0,a=a+Math.imul(k,X)|0,n=n+Math.imul(b,J)|0,i=(i=i+Math.imul(b,K)|0)+Math.imul(_,J)|0,a=a+Math.imul(_,K)|0,n=n+Math.imul(v,$)|0,i=(i=i+Math.imul(v,tt)|0)+Math.imul(y,$)|0,a=a+Math.imul(y,tt)|0,n=n+Math.imul(d,rt)|0,i=(i=i+Math.imul(d,nt)|0)+Math.imul(m,rt)|0,a=a+Math.imul(m,nt)|0;var wt=(c+(n=n+Math.imul(f,at)|0)|0)+((8191&(i=(i=i+Math.imul(f,ot)|0)+Math.imul(h,at)|0))<<13)|0;c=((a=a+Math.imul(h,ot)|0)+(i>>>13)|0)+(wt>>>26)|0,wt&=67108863,n=Math.imul(I,U),i=(i=Math.imul(I,V))+Math.imul(O,U)|0,a=Math.imul(O,V),n=n+Math.imul(L,H)|0,i=(i=i+Math.imul(L,G)|0)+Math.imul(C,H)|0,a=a+Math.imul(C,G)|0,n=n+Math.imul(A,W)|0,i=(i=i+Math.imul(A,X)|0)+Math.imul(S,W)|0,a=a+Math.imul(S,X)|0,n=n+Math.imul(T,J)|0,i=(i=i+Math.imul(T,K)|0)+Math.imul(k,J)|0,a=a+Math.imul(k,K)|0,n=n+Math.imul(b,$)|0,i=(i=i+Math.imul(b,tt)|0)+Math.imul(_,$)|0,a=a+Math.imul(_,tt)|0,n=n+Math.imul(v,rt)|0,i=(i=i+Math.imul(v,nt)|0)+Math.imul(y,rt)|0,a=a+Math.imul(y,nt)|0,n=n+Math.imul(d,at)|0,i=(i=i+Math.imul(d,ot)|0)+Math.imul(m,at)|0,a=a+Math.imul(m,ot)|0;var Tt=(c+(n=n+Math.imul(f,lt)|0)|0)+((8191&(i=(i=i+Math.imul(f,ct)|0)+Math.imul(h,lt)|0))<<13)|0;c=((a=a+Math.imul(h,ct)|0)+(i>>>13)|0)+(Tt>>>26)|0,Tt&=67108863,n=Math.imul(D,U),i=(i=Math.imul(D,V))+Math.imul(R,U)|0,a=Math.imul(R,V),n=n+Math.imul(I,H)|0,i=(i=i+Math.imul(I,G)|0)+Math.imul(O,H)|0,a=a+Math.imul(O,G)|0,n=n+Math.imul(L,W)|0,i=(i=i+Math.imul(L,X)|0)+Math.imul(C,W)|0,a=a+Math.imul(C,X)|0,n=n+Math.imul(A,J)|0,i=(i=i+Math.imul(A,K)|0)+Math.imul(S,J)|0,a=a+Math.imul(S,K)|0,n=n+Math.imul(T,$)|0,i=(i=i+Math.imul(T,tt)|0)+Math.imul(k,$)|0,a=a+Math.imul(k,tt)|0,n=n+Math.imul(b,rt)|0,i=(i=i+Math.imul(b,nt)|0)+Math.imul(_,rt)|0,a=a+Math.imul(_,nt)|0,n=n+Math.imul(v,at)|0,i=(i=i+Math.imul(v,ot)|0)+Math.imul(y,at)|0,a=a+Math.imul(y,ot)|0,n=n+Math.imul(d,lt)|0,i=(i=i+Math.imul(d,ct)|0)+Math.imul(m,lt)|0,a=a+Math.imul(m,ct)|0;var kt=(c+(n=n+Math.imul(f,ft)|0)|0)+((8191&(i=(i=i+Math.imul(f,ht)|0)+Math.imul(h,ft)|0))<<13)|0;c=((a=a+Math.imul(h,ht)|0)+(i>>>13)|0)+(kt>>>26)|0,kt&=67108863,n=Math.imul(B,U),i=(i=Math.imul(B,V))+Math.imul(N,U)|0,a=Math.imul(N,V),n=n+Math.imul(D,H)|0,i=(i=i+Math.imul(D,G)|0)+Math.imul(R,H)|0,a=a+Math.imul(R,G)|0,n=n+Math.imul(I,W)|0,i=(i=i+Math.imul(I,X)|0)+Math.imul(O,W)|0,a=a+Math.imul(O,X)|0,n=n+Math.imul(L,J)|0,i=(i=i+Math.imul(L,K)|0)+Math.imul(C,J)|0,a=a+Math.imul(C,K)|0,n=n+Math.imul(A,$)|0,i=(i=i+Math.imul(A,tt)|0)+Math.imul(S,$)|0,a=a+Math.imul(S,tt)|0,n=n+Math.imul(T,rt)|0,i=(i=i+Math.imul(T,nt)|0)+Math.imul(k,rt)|0,a=a+Math.imul(k,nt)|0,n=n+Math.imul(b,at)|0,i=(i=i+Math.imul(b,ot)|0)+Math.imul(_,at)|0,a=a+Math.imul(_,ot)|0,n=n+Math.imul(v,lt)|0,i=(i=i+Math.imul(v,ct)|0)+Math.imul(y,lt)|0,a=a+Math.imul(y,ct)|0,n=n+Math.imul(d,ft)|0,i=(i=i+Math.imul(d,ht)|0)+Math.imul(m,ft)|0,a=a+Math.imul(m,ht)|0;var Mt=(c+(n=n+Math.imul(f,dt)|0)|0)+((8191&(i=(i=i+Math.imul(f,mt)|0)+Math.imul(h,dt)|0))<<13)|0;c=((a=a+Math.imul(h,mt)|0)+(i>>>13)|0)+(Mt>>>26)|0,Mt&=67108863,n=Math.imul(B,H),i=(i=Math.imul(B,G))+Math.imul(N,H)|0,a=Math.imul(N,G),n=n+Math.imul(D,W)|0,i=(i=i+Math.imul(D,X)|0)+Math.imul(R,W)|0,a=a+Math.imul(R,X)|0,n=n+Math.imul(I,J)|0,i=(i=i+Math.imul(I,K)|0)+Math.imul(O,J)|0,a=a+Math.imul(O,K)|0,n=n+Math.imul(L,$)|0,i=(i=i+Math.imul(L,tt)|0)+Math.imul(C,$)|0,a=a+Math.imul(C,tt)|0,n=n+Math.imul(A,rt)|0,i=(i=i+Math.imul(A,nt)|0)+Math.imul(S,rt)|0,a=a+Math.imul(S,nt)|0,n=n+Math.imul(T,at)|0,i=(i=i+Math.imul(T,ot)|0)+Math.imul(k,at)|0,a=a+Math.imul(k,ot)|0,n=n+Math.imul(b,lt)|0,i=(i=i+Math.imul(b,ct)|0)+Math.imul(_,lt)|0,a=a+Math.imul(_,ct)|0,n=n+Math.imul(v,ft)|0,i=(i=i+Math.imul(v,ht)|0)+Math.imul(y,ft)|0,a=a+Math.imul(y,ht)|0;var At=(c+(n=n+Math.imul(d,dt)|0)|0)+((8191&(i=(i=i+Math.imul(d,mt)|0)+Math.imul(m,dt)|0))<<13)|0;c=((a=a+Math.imul(m,mt)|0)+(i>>>13)|0)+(At>>>26)|0,At&=67108863,n=Math.imul(B,W),i=(i=Math.imul(B,X))+Math.imul(N,W)|0,a=Math.imul(N,X),n=n+Math.imul(D,J)|0,i=(i=i+Math.imul(D,K)|0)+Math.imul(R,J)|0,a=a+Math.imul(R,K)|0,n=n+Math.imul(I,$)|0,i=(i=i+Math.imul(I,tt)|0)+Math.imul(O,$)|0,a=a+Math.imul(O,tt)|0,n=n+Math.imul(L,rt)|0,i=(i=i+Math.imul(L,nt)|0)+Math.imul(C,rt)|0,a=a+Math.imul(C,nt)|0,n=n+Math.imul(A,at)|0,i=(i=i+Math.imul(A,ot)|0)+Math.imul(S,at)|0,a=a+Math.imul(S,ot)|0,n=n+Math.imul(T,lt)|0,i=(i=i+Math.imul(T,ct)|0)+Math.imul(k,lt)|0,a=a+Math.imul(k,ct)|0,n=n+Math.imul(b,ft)|0,i=(i=i+Math.imul(b,ht)|0)+Math.imul(_,ft)|0,a=a+Math.imul(_,ht)|0;var St=(c+(n=n+Math.imul(v,dt)|0)|0)+((8191&(i=(i=i+Math.imul(v,mt)|0)+Math.imul(y,dt)|0))<<13)|0;c=((a=a+Math.imul(y,mt)|0)+(i>>>13)|0)+(St>>>26)|0,St&=67108863,n=Math.imul(B,J),i=(i=Math.imul(B,K))+Math.imul(N,J)|0,a=Math.imul(N,K),n=n+Math.imul(D,$)|0,i=(i=i+Math.imul(D,tt)|0)+Math.imul(R,$)|0,a=a+Math.imul(R,tt)|0,n=n+Math.imul(I,rt)|0,i=(i=i+Math.imul(I,nt)|0)+Math.imul(O,rt)|0,a=a+Math.imul(O,nt)|0,n=n+Math.imul(L,at)|0,i=(i=i+Math.imul(L,ot)|0)+Math.imul(C,at)|0,a=a+Math.imul(C,ot)|0,n=n+Math.imul(A,lt)|0,i=(i=i+Math.imul(A,ct)|0)+Math.imul(S,lt)|0,a=a+Math.imul(S,ct)|0,n=n+Math.imul(T,ft)|0,i=(i=i+Math.imul(T,ht)|0)+Math.imul(k,ft)|0,a=a+Math.imul(k,ht)|0;var Et=(c+(n=n+Math.imul(b,dt)|0)|0)+((8191&(i=(i=i+Math.imul(b,mt)|0)+Math.imul(_,dt)|0))<<13)|0;c=((a=a+Math.imul(_,mt)|0)+(i>>>13)|0)+(Et>>>26)|0,Et&=67108863,n=Math.imul(B,$),i=(i=Math.imul(B,tt))+Math.imul(N,$)|0,a=Math.imul(N,tt),n=n+Math.imul(D,rt)|0,i=(i=i+Math.imul(D,nt)|0)+Math.imul(R,rt)|0,a=a+Math.imul(R,nt)|0,n=n+Math.imul(I,at)|0,i=(i=i+Math.imul(I,ot)|0)+Math.imul(O,at)|0,a=a+Math.imul(O,ot)|0,n=n+Math.imul(L,lt)|0,i=(i=i+Math.imul(L,ct)|0)+Math.imul(C,lt)|0,a=a+Math.imul(C,ct)|0,n=n+Math.imul(A,ft)|0,i=(i=i+Math.imul(A,ht)|0)+Math.imul(S,ft)|0,a=a+Math.imul(S,ht)|0;var Lt=(c+(n=n+Math.imul(T,dt)|0)|0)+((8191&(i=(i=i+Math.imul(T,mt)|0)+Math.imul(k,dt)|0))<<13)|0;c=((a=a+Math.imul(k,mt)|0)+(i>>>13)|0)+(Lt>>>26)|0,Lt&=67108863,n=Math.imul(B,rt),i=(i=Math.imul(B,nt))+Math.imul(N,rt)|0,a=Math.imul(N,nt),n=n+Math.imul(D,at)|0,i=(i=i+Math.imul(D,ot)|0)+Math.imul(R,at)|0,a=a+Math.imul(R,ot)|0,n=n+Math.imul(I,lt)|0,i=(i=i+Math.imul(I,ct)|0)+Math.imul(O,lt)|0,a=a+Math.imul(O,ct)|0,n=n+Math.imul(L,ft)|0,i=(i=i+Math.imul(L,ht)|0)+Math.imul(C,ft)|0,a=a+Math.imul(C,ht)|0;var Ct=(c+(n=n+Math.imul(A,dt)|0)|0)+((8191&(i=(i=i+Math.imul(A,mt)|0)+Math.imul(S,dt)|0))<<13)|0;c=((a=a+Math.imul(S,mt)|0)+(i>>>13)|0)+(Ct>>>26)|0,Ct&=67108863,n=Math.imul(B,at),i=(i=Math.imul(B,ot))+Math.imul(N,at)|0,a=Math.imul(N,ot),n=n+Math.imul(D,lt)|0,i=(i=i+Math.imul(D,ct)|0)+Math.imul(R,lt)|0,a=a+Math.imul(R,ct)|0,n=n+Math.imul(I,ft)|0,i=(i=i+Math.imul(I,ht)|0)+Math.imul(O,ft)|0,a=a+Math.imul(O,ht)|0;var Pt=(c+(n=n+Math.imul(L,dt)|0)|0)+((8191&(i=(i=i+Math.imul(L,mt)|0)+Math.imul(C,dt)|0))<<13)|0;c=((a=a+Math.imul(C,mt)|0)+(i>>>13)|0)+(Pt>>>26)|0,Pt&=67108863,n=Math.imul(B,lt),i=(i=Math.imul(B,ct))+Math.imul(N,lt)|0,a=Math.imul(N,ct),n=n+Math.imul(D,ft)|0,i=(i=i+Math.imul(D,ht)|0)+Math.imul(R,ft)|0,a=a+Math.imul(R,ht)|0;var It=(c+(n=n+Math.imul(I,dt)|0)|0)+((8191&(i=(i=i+Math.imul(I,mt)|0)+Math.imul(O,dt)|0))<<13)|0;c=((a=a+Math.imul(O,mt)|0)+(i>>>13)|0)+(It>>>26)|0,It&=67108863,n=Math.imul(B,ft),i=(i=Math.imul(B,ht))+Math.imul(N,ft)|0,a=Math.imul(N,ht);var Ot=(c+(n=n+Math.imul(D,dt)|0)|0)+((8191&(i=(i=i+Math.imul(D,mt)|0)+Math.imul(R,dt)|0))<<13)|0;c=((a=a+Math.imul(R,mt)|0)+(i>>>13)|0)+(Ot>>>26)|0,Ot&=67108863;var zt=(c+(n=Math.imul(B,dt))|0)+((8191&(i=(i=Math.imul(B,mt))+Math.imul(N,dt)|0))<<13)|0;return c=((a=Math.imul(N,mt))+(i>>>13)|0)+(zt>>>26)|0,zt&=67108863,l[0]=gt,l[1]=vt,l[2]=yt,l[3]=xt,l[4]=bt,l[5]=_t,l[6]=wt,l[7]=Tt,l[8]=kt,l[9]=Mt,l[10]=At,l[11]=St,l[12]=Et,l[13]=Lt,l[14]=Ct,l[15]=Pt,l[16]=It,l[17]=Ot,l[18]=zt,0!==c&&(l[19]=c,r.length++),r};function d(t,e,r){return(new m).mulp(t,e,r)}function m(t,e){this.x=t,this.y=e}Math.imul||(p=h),a.prototype.mulTo=function(t,e){var r=this.length+t.length;return 10===this.length&&10===t.length?p(this,t,e):r<63?h(this,t,e):r<1024?function(t,e,r){r.negative=e.negative^t.negative,r.length=t.length+e.length;for(var n=0,i=0,a=0;a<r.length-1;a++){var o=i;i=0;for(var s=67108863&n,l=Math.min(a,e.length-1),c=Math.max(0,a-t.length+1);c<=l;c++){var u=a-c,f=(0|t.words[u])*(0|e.words[c]),h=67108863&f;s=67108863&(h=h+s|0),i+=(o=(o=o+(f/67108864|0)|0)+(h>>>26)|0)>>>26,o&=67108863}r.words[a]=s,n=o,o=i}return 0!==n?r.words[a]=n:r.length--,r.strip()}(this,t,e):d(this,t,e)},m.prototype.makeRBT=function(t){for(var e=new Array(t),r=a.prototype._countBits(t)-1,n=0;n<t;n++)e[n]=this.revBin(n,r,t);return e},m.prototype.revBin=function(t,e,r){if(0===t||t===r-1)return t;for(var n=0,i=0;i<e;i++)n|=(1&t)<<e-i-1,t>>=1;return n},m.prototype.permute=function(t,e,r,n,i,a){for(var o=0;o<a;o++)n[o]=e[t[o]],i[o]=r[t[o]]},m.prototype.transform=function(t,e,r,n,i,a){this.permute(a,t,e,r,n,i);for(var o=1;o<i;o<<=1)for(var s=o<<1,l=Math.cos(2*Math.PI/s),c=Math.sin(2*Math.PI/s),u=0;u<i;u+=s)for(var f=l,h=c,p=0;p<o;p++){var d=r[u+p],m=n[u+p],g=r[u+p+o],v=n[u+p+o],y=f*g-h*v;v=f*v+h*g,g=y,r[u+p]=d+g,n[u+p]=m+v,r[u+p+o]=d-g,n[u+p+o]=m-v,p!==s&&(y=l*f-c*h,h=l*h+c*f,f=y)}},m.prototype.guessLen13b=function(t,e){var r=1|Math.max(e,t),n=1&r,i=0;for(r=r/2|0;r;r>>>=1)i++;return 1<<i+1+n},m.prototype.conjugate=function(t,e,r){if(!(r<=1))for(var n=0;n<r/2;n++){var i=t[n];t[n]=t[r-n-1],t[r-n-1]=i,i=e[n],e[n]=-e[r-n-1],e[r-n-1]=-i}},m.prototype.normalize13b=function(t,e){for(var r=0,n=0;n<e/2;n++){var i=8192*Math.round(t[2*n+1]/e)+Math.round(t[2*n]/e)+r;t[n]=67108863&i,r=i<67108864?0:i/67108864|0}return t},m.prototype.convert13b=function(t,e,r,i){for(var a=0,o=0;o<e;o++)a+=0|t[o],r[2*o]=8191&a,a>>>=13,r[2*o+1]=8191&a,a>>>=13;for(o=2*e;o<i;++o)r[o]=0;n(0===a),n(0==(-8192&a))},m.prototype.stub=function(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=0;return e},m.prototype.mulp=function(t,e,r){var n=2*this.guessLen13b(t.length,e.length),i=this.makeRBT(n),a=this.stub(n),o=new Array(n),s=new Array(n),l=new Array(n),c=new Array(n),u=new Array(n),f=new Array(n),h=r.words;h.length=n,this.convert13b(t.words,t.length,o,n),this.convert13b(e.words,e.length,c,n),this.transform(o,a,s,l,n,i),this.transform(c,a,u,f,n,i);for(var p=0;p<n;p++){var d=s[p]*u[p]-l[p]*f[p];l[p]=s[p]*f[p]+l[p]*u[p],s[p]=d}return this.conjugate(s,l,n),this.transform(s,l,h,a,n,i),this.conjugate(h,a,n),this.normalize13b(h,n),r.negative=t.negative^e.negative,r.length=t.length+e.length,r.strip()},a.prototype.mul=function(t){var e=new a(null);return e.words=new Array(this.length+t.length),this.mulTo(t,e)},a.prototype.mulf=function(t){var e=new a(null);return e.words=new Array(this.length+t.length),d(this,t,e)},a.prototype.imul=function(t){return this.clone().mulTo(t,this)},a.prototype.imuln=function(t){n(\\\"number\\\"==typeof t),n(t<67108864);for(var e=0,r=0;r<this.length;r++){var i=(0|this.words[r])*t,a=(67108863&i)+(67108863&e);e>>=26,e+=i/67108864|0,e+=a>>>26,this.words[r]=67108863&a}return 0!==e&&(this.words[r]=e,this.length++),this},a.prototype.muln=function(t){return this.clone().imuln(t)},a.prototype.sqr=function(){return this.mul(this)},a.prototype.isqr=function(){return this.imul(this.clone())},a.prototype.pow=function(t){var e=function(t){for(var e=new Array(t.bitLength()),r=0;r<e.length;r++){var n=r/26|0,i=r%26;e[r]=(t.words[n]&1<<i)>>>i}return e}(t);if(0===e.length)return new a(1);for(var r=this,n=0;n<e.length&&0===e[n];n++,r=r.sqr());if(++n<e.length)for(var i=r.sqr();n<e.length;n++,i=i.sqr())0!==e[n]&&(r=r.mul(i));return r},a.prototype.iushln=function(t){n(\\\"number\\\"==typeof t&&t>=0);var e,r=t%26,i=(t-r)/26,a=67108863>>>26-r<<26-r;if(0!==r){var o=0;for(e=0;e<this.length;e++){var s=this.words[e]&a,l=(0|this.words[e])-s<<r;this.words[e]=l|o,o=s>>>26-r}o&&(this.words[e]=o,this.length++)}if(0!==i){for(e=this.length-1;e>=0;e--)this.words[e+i]=this.words[e];for(e=0;e<i;e++)this.words[e]=0;this.length+=i}return this.strip()},a.prototype.ishln=function(t){return n(0===this.negative),this.iushln(t)},a.prototype.iushrn=function(t,e,r){var i;n(\\\"number\\\"==typeof t&&t>=0),i=e?(e-e%26)/26:0;var a=t%26,o=Math.min((t-a)/26,this.length),s=67108863^67108863>>>a<<a,l=r;if(i-=o,i=Math.max(0,i),l){for(var c=0;c<o;c++)l.words[c]=this.words[c];l.length=o}if(0===o);else if(this.length>o)for(this.length-=o,c=0;c<this.length;c++)this.words[c]=this.words[c+o];else this.words[0]=0,this.length=1;var u=0;for(c=this.length-1;c>=0&&(0!==u||c>=i);c--){var f=0|this.words[c];this.words[c]=u<<26-a|f>>>a,u=f&s}return l&&0!==u&&(l.words[l.length++]=u),0===this.length&&(this.words[0]=0,this.length=1),this.strip()},a.prototype.ishrn=function(t,e,r){return n(0===this.negative),this.iushrn(t,e,r)},a.prototype.shln=function(t){return this.clone().ishln(t)},a.prototype.ushln=function(t){return this.clone().iushln(t)},a.prototype.shrn=function(t){return this.clone().ishrn(t)},a.prototype.ushrn=function(t){return this.clone().iushrn(t)},a.prototype.testn=function(t){n(\\\"number\\\"==typeof t&&t>=0);var e=t%26,r=(t-e)/26,i=1<<e;return!(this.length<=r)&&!!(this.words[r]&i)},a.prototype.imaskn=function(t){n(\\\"number\\\"==typeof t&&t>=0);var e=t%26,r=(t-e)/26;if(n(0===this.negative,\\\"imaskn works only with positive numbers\\\"),this.length<=r)return this;if(0!==e&&r++,this.length=Math.min(r,this.length),0!==e){var i=67108863^67108863>>>e<<e;this.words[this.length-1]&=i}return this.strip()},a.prototype.maskn=function(t){return this.clone().imaskn(t)},a.prototype.iaddn=function(t){return n(\\\"number\\\"==typeof t),n(t<67108864),t<0?this.isubn(-t):0!==this.negative?1===this.length&&(0|this.words[0])<t?(this.words[0]=t-(0|this.words[0]),this.negative=0,this):(this.negative=0,this.isubn(t),this.negative=1,this):this._iaddn(t)},a.prototype._iaddn=function(t){this.words[0]+=t;for(var e=0;e<this.length&&this.words[e]>=67108864;e++)this.words[e]-=67108864,e===this.length-1?this.words[e+1]=1:this.words[e+1]++;return this.length=Math.max(this.length,e+1),this},a.prototype.isubn=function(t){if(n(\\\"number\\\"==typeof t),n(t<67108864),t<0)return this.iaddn(-t);if(0!==this.negative)return this.negative=0,this.iaddn(t),this.negative=1,this;if(this.words[0]-=t,1===this.length&&this.words[0]<0)this.words[0]=-this.words[0],this.negative=1;else for(var e=0;e<this.length&&this.words[e]<0;e++)this.words[e]+=67108864,this.words[e+1]-=1;return this.strip()},a.prototype.addn=function(t){return this.clone().iaddn(t)},a.prototype.subn=function(t){return this.clone().isubn(t)},a.prototype.iabs=function(){return this.negative=0,this},a.prototype.abs=function(){return this.clone().iabs()},a.prototype._ishlnsubmul=function(t,e,r){var i,a,o=t.length+r;this._expand(o);var s=0;for(i=0;i<t.length;i++){a=(0|this.words[i+r])+s;var l=(0|t.words[i])*e;s=((a-=67108863&l)>>26)-(l/67108864|0),this.words[i+r]=67108863&a}for(;i<this.length-r;i++)s=(a=(0|this.words[i+r])+s)>>26,this.words[i+r]=67108863&a;if(0===s)return this.strip();for(n(-1===s),s=0,i=0;i<this.length;i++)s=(a=-(0|this.words[i])+s)>>26,this.words[i]=67108863&a;return this.negative=1,this.strip()},a.prototype._wordDiv=function(t,e){var r=(this.length,t.length),n=this.clone(),i=t,o=0|i.words[i.length-1];0!==(r=26-this._countBits(o))&&(i=i.ushln(r),n.iushln(r),o=0|i.words[i.length-1]);var s,l=n.length-i.length;if(\\\"mod\\\"!==e){(s=new a(null)).length=l+1,s.words=new Array(s.length);for(var c=0;c<s.length;c++)s.words[c]=0}var u=n.clone()._ishlnsubmul(i,1,l);0===u.negative&&(n=u,s&&(s.words[l]=1));for(var f=l-1;f>=0;f--){var h=67108864*(0|n.words[i.length+f])+(0|n.words[i.length+f-1]);for(h=Math.min(h/o|0,67108863),n._ishlnsubmul(i,h,f);0!==n.negative;)h--,n.negative=0,n._ishlnsubmul(i,1,f),n.isZero()||(n.negative^=1);s&&(s.words[f]=h)}return s&&s.strip(),n.strip(),\\\"div\\\"!==e&&0!==r&&n.iushrn(r),{div:s||null,mod:n}},a.prototype.divmod=function(t,e,r){return n(!t.isZero()),this.isZero()?{div:new a(0),mod:new a(0)}:0!==this.negative&&0===t.negative?(s=this.neg().divmod(t,e),\\\"mod\\\"!==e&&(i=s.div.neg()),\\\"div\\\"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.iadd(t)),{div:i,mod:o}):0===this.negative&&0!==t.negative?(s=this.divmod(t.neg(),e),\\\"mod\\\"!==e&&(i=s.div.neg()),{div:i,mod:s.mod}):0!=(this.negative&t.negative)?(s=this.neg().divmod(t.neg(),e),\\\"div\\\"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.isub(t)),{div:s.div,mod:o}):t.length>this.length||this.cmp(t)<0?{div:new a(0),mod:this}:1===t.length?\\\"div\\\"===e?{div:this.divn(t.words[0]),mod:null}:\\\"mod\\\"===e?{div:null,mod:new a(this.modn(t.words[0]))}:{div:this.divn(t.words[0]),mod:new a(this.modn(t.words[0]))}:this._wordDiv(t,e);var i,o,s},a.prototype.div=function(t){return this.divmod(t,\\\"div\\\",!1).div},a.prototype.mod=function(t){return this.divmod(t,\\\"mod\\\",!1).mod},a.prototype.umod=function(t){return this.divmod(t,\\\"mod\\\",!0).mod},a.prototype.divRound=function(t){var e=this.divmod(t);if(e.mod.isZero())return e.div;var r=0!==e.div.negative?e.mod.isub(t):e.mod,n=t.ushrn(1),i=t.andln(1),a=r.cmp(n);return a<0||1===i&&0===a?e.div:0!==e.div.negative?e.div.isubn(1):e.div.iaddn(1)},a.prototype.modn=function(t){n(t<=67108863);for(var e=(1<<26)%t,r=0,i=this.length-1;i>=0;i--)r=(e*r+(0|this.words[i]))%t;return r},a.prototype.idivn=function(t){n(t<=67108863);for(var e=0,r=this.length-1;r>=0;r--){var i=(0|this.words[r])+67108864*e;this.words[r]=i/t|0,e=i%t}return this.strip()},a.prototype.divn=function(t){return this.clone().idivn(t)},a.prototype.egcd=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i=new a(1),o=new a(0),s=new a(0),l=new a(1),c=0;e.isEven()&&r.isEven();)e.iushrn(1),r.iushrn(1),++c;for(var u=r.clone(),f=e.clone();!e.isZero();){for(var h=0,p=1;0==(e.words[0]&p)&&h<26;++h,p<<=1);if(h>0)for(e.iushrn(h);h-- >0;)(i.isOdd()||o.isOdd())&&(i.iadd(u),o.isub(f)),i.iushrn(1),o.iushrn(1);for(var d=0,m=1;0==(r.words[0]&m)&&d<26;++d,m<<=1);if(d>0)for(r.iushrn(d);d-- >0;)(s.isOdd()||l.isOdd())&&(s.iadd(u),l.isub(f)),s.iushrn(1),l.iushrn(1);e.cmp(r)>=0?(e.isub(r),i.isub(s),o.isub(l)):(r.isub(e),s.isub(i),l.isub(o))}return{a:s,b:l,gcd:r.iushln(c)}},a.prototype._invmp=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i,o=new a(1),s=new a(0),l=r.clone();e.cmpn(1)>0&&r.cmpn(1)>0;){for(var c=0,u=1;0==(e.words[0]&u)&&c<26;++c,u<<=1);if(c>0)for(e.iushrn(c);c-- >0;)o.isOdd()&&o.iadd(l),o.iushrn(1);for(var f=0,h=1;0==(r.words[0]&h)&&f<26;++f,h<<=1);if(f>0)for(r.iushrn(f);f-- >0;)s.isOdd()&&s.iadd(l),s.iushrn(1);e.cmp(r)>=0?(e.isub(r),o.isub(s)):(r.isub(e),s.isub(o))}return(i=0===e.cmpn(1)?o:s).cmpn(0)<0&&i.iadd(t),i},a.prototype.gcd=function(t){if(this.isZero())return t.abs();if(t.isZero())return this.abs();var e=this.clone(),r=t.clone();e.negative=0,r.negative=0;for(var n=0;e.isEven()&&r.isEven();n++)e.iushrn(1),r.iushrn(1);for(;;){for(;e.isEven();)e.iushrn(1);for(;r.isEven();)r.iushrn(1);var i=e.cmp(r);if(i<0){var a=e;e=r,r=a}else if(0===i||0===r.cmpn(1))break;e.isub(r)}return r.iushln(n)},a.prototype.invm=function(t){return this.egcd(t).a.umod(t)},a.prototype.isEven=function(){return 0==(1&this.words[0])},a.prototype.isOdd=function(){return 1==(1&this.words[0])},a.prototype.andln=function(t){return this.words[0]&t},a.prototype.bincn=function(t){n(\\\"number\\\"==typeof t);var e=t%26,r=(t-e)/26,i=1<<e;if(this.length<=r)return this._expand(r+1),this.words[r]|=i,this;for(var a=i,o=r;0!==a&&o<this.length;o++){var s=0|this.words[o];a=(s+=a)>>>26,s&=67108863,this.words[o]=s}return 0!==a&&(this.words[o]=a,this.length++),this},a.prototype.isZero=function(){return 1===this.length&&0===this.words[0]},a.prototype.cmpn=function(t){var e,r=t<0;if(0!==this.negative&&!r)return-1;if(0===this.negative&&r)return 1;if(this.strip(),this.length>1)e=1;else{r&&(t=-t),n(t<=67108863,\\\"Number is too big\\\");var i=0|this.words[0];e=i===t?0:i<t?-1:1}return 0!==this.negative?0|-e:e},a.prototype.cmp=function(t){if(0!==this.negative&&0===t.negative)return-1;if(0===this.negative&&0!==t.negative)return 1;var e=this.ucmp(t);return 0!==this.negative?0|-e:e},a.prototype.ucmp=function(t){if(this.length>t.length)return 1;if(this.length<t.length)return-1;for(var e=0,r=this.length-1;r>=0;r--){var n=0|this.words[r],i=0|t.words[r];if(n!==i){n<i?e=-1:n>i&&(e=1);break}}return e},a.prototype.gtn=function(t){return 1===this.cmpn(t)},a.prototype.gt=function(t){return 1===this.cmp(t)},a.prototype.gten=function(t){return this.cmpn(t)>=0},a.prototype.gte=function(t){return this.cmp(t)>=0},a.prototype.ltn=function(t){return-1===this.cmpn(t)},a.prototype.lt=function(t){return-1===this.cmp(t)},a.prototype.lten=function(t){return this.cmpn(t)<=0},a.prototype.lte=function(t){return this.cmp(t)<=0},a.prototype.eqn=function(t){return 0===this.cmpn(t)},a.prototype.eq=function(t){return 0===this.cmp(t)},a.red=function(t){return new w(t)},a.prototype.toRed=function(t){return n(!this.red,\\\"Already a number in reduction context\\\"),n(0===this.negative,\\\"red works only with positives\\\"),t.convertTo(this)._forceRed(t)},a.prototype.fromRed=function(){return n(this.red,\\\"fromRed works only with numbers in reduction context\\\"),this.red.convertFrom(this)},a.prototype._forceRed=function(t){return this.red=t,this},a.prototype.forceRed=function(t){return n(!this.red,\\\"Already a number in reduction context\\\"),this._forceRed(t)},a.prototype.redAdd=function(t){return n(this.red,\\\"redAdd works only with red numbers\\\"),this.red.add(this,t)},a.prototype.redIAdd=function(t){return n(this.red,\\\"redIAdd works only with red numbers\\\"),this.red.iadd(this,t)},a.prototype.redSub=function(t){return n(this.red,\\\"redSub works only with red numbers\\\"),this.red.sub(this,t)},a.prototype.redISub=function(t){return n(this.red,\\\"redISub works only with red numbers\\\"),this.red.isub(this,t)},a.prototype.redShl=function(t){return n(this.red,\\\"redShl works only with red numbers\\\"),this.red.shl(this,t)},a.prototype.redMul=function(t){return n(this.red,\\\"redMul works only with red numbers\\\"),this.red._verify2(this,t),this.red.mul(this,t)},a.prototype.redIMul=function(t){return n(this.red,\\\"redMul works only with red numbers\\\"),this.red._verify2(this,t),this.red.imul(this,t)},a.prototype.redSqr=function(){return n(this.red,\\\"redSqr works only with red numbers\\\"),this.red._verify1(this),this.red.sqr(this)},a.prototype.redISqr=function(){return n(this.red,\\\"redISqr works only with red numbers\\\"),this.red._verify1(this),this.red.isqr(this)},a.prototype.redSqrt=function(){return n(this.red,\\\"redSqrt works only with red numbers\\\"),this.red._verify1(this),this.red.sqrt(this)},a.prototype.redInvm=function(){return n(this.red,\\\"redInvm works only with red numbers\\\"),this.red._verify1(this),this.red.invm(this)},a.prototype.redNeg=function(){return n(this.red,\\\"redNeg works only with red numbers\\\"),this.red._verify1(this),this.red.neg(this)},a.prototype.redPow=function(t){return n(this.red&&!t.red,\\\"redPow(normalNum)\\\"),this.red._verify1(this),this.red.pow(this,t)};var g={k256:null,p224:null,p192:null,p25519:null};function v(t,e){this.name=t,this.p=new a(e,16),this.n=this.p.bitLength(),this.k=new a(1).iushln(this.n).isub(this.p),this.tmp=this._tmp()}function 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X=c(t,C,O,z,q,H),Z=q[E*X+C],J=h(t,C,X,z,q,H,Z);if(J<z&&x(S++,C,W,I,J,z,(4|N)+(j?16:0),Z,B),O<X&&x(S++,C,W,I,O,X,(2|N)+(j?16:0),F,Z),X+1===J){if(void 0!==(A=j?_(t,C,e,W,I,U,V,X,q,H[X]):b(t,C,e,N,W,I,U,V,X,q,H[X])))return A}else if(X<J){var K;if(j){if(K=m(t,C,W,I,U,V,Z),W<K){var Q=h(t,C,W,K,U,V,Z);if(C===t-2){if(W<Q&&void 0!==(A=l.sweepComplete(t,e,W,Q,U,V,X,J,q,H)))return A;if(Q<K&&void 0!==(A=l.sweepBipartite(t,e,Q,K,U,V,X,J,q,H)))return A}else W<Q&&x(S++,C+1,W,Q,X,J,16,-1/0,1/0),Q<K&&(x(S++,C+1,Q,K,X,J,0,-1/0,1/0),x(S++,C+1,X,J,Q,K,1,-1/0,1/0))}}else K=N?g(t,C,W,I,U,V,Z):m(t,C,W,I,U,V,Z),W<K&&(C===t-2?A=N?l.sweepBipartite(t,e,X,J,q,H,W,K,U,V):l.sweepBipartite(t,e,W,K,U,V,X,J,q,H):(x(S++,C+1,W,K,X,J,N,-1/0,1/0),x(S++,C+1,X,J,W,K,1^N,-1/0,1/0)))}}}}};var 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if(!c(N,S,E,u))for(;;){if(c(T,S,E,u)){c(T,M,A,u)?(o(N,w,T,u),++w,--T):(i(N,T,u),--T);break}if(--T<N)break}s(e,w-1,M,A,u),s(r,T+1,S,E,u),w-2-e<=32?n(e,w-2,u):t(e,w-2,u);r-(T+2)<=32?n(T+2,r,u):t(T+2,r,u);T-w<=32?n(w,T,u):t(w,T,u)}(0,e-1,t)};function n(t,e,r){for(var n=2*(t+1),i=t+1;i<=e;++i){for(var a=r[n++],o=r[n++],s=i,l=n-2;s-- >t;){var c=r[l-2],u=r[l-1];if(c<a)break;if(c===a&&u<o)break;r[l]=c,r[l+1]=u,l-=2}r[l]=a,r[l+1]=o}}function i(t,e,r){e*=2;var n=r[t*=2],i=r[t+1];r[t]=r[e],r[t+1]=r[e+1],r[e]=n,r[e+1]=i}function a(t,e,r){e*=2,r[t*=2]=r[e],r[t+1]=r[e+1]}function o(t,e,r,n){e*=2,r*=2;var i=n[t*=2],a=n[t+1];n[t]=n[e],n[t+1]=n[e+1],n[e]=n[r],n[e+1]=n[r+1],n[r]=i,n[r+1]=a}function s(t,e,r,n,i){e*=2,i[t*=2]=i[e],i[e]=r,i[t+1]=i[e+1],i[e+1]=n}function l(t,e,r){e*=2;var n=r[t*=2],i=r[e];return!(n<i)&&(n!==i||r[t+1]>r[e+1])}function c(t,e,r,n){var i=n[t*=2];return i<e||i===e&&n[t+1]<r}},{}],110:[function(t,e,r){\\\"use strict\\\";e.exports={init:function(t){var e=i.nextPow2(t);o.length<e&&(n.free(o),o=n.mallocInt32(e));s.length<e&&(n.free(s),s=n.mallocInt32(e));l.length<e&&(n.free(l),l=n.mallocInt32(e));c.length<e&&(n.free(c),c=n.mallocInt32(e));u.length<e&&(n.free(u),u=n.mallocInt32(e));f.length<e&&(n.free(f),f=n.mallocInt32(e));var r=8*e;h.length<r&&(n.free(h),h=n.mallocDouble(r))},sweepBipartite:function(t,e,r,n,i,u,f,m,g,v){for(var y=0,x=2*t,b=t-1,_=x-1,w=r;w<n;++w){var T=u[w],k=x*w;h[y++]=i[k+b],h[y++]=-(T+1),h[y++]=i[k+_],h[y++]=T}for(w=f;w<m;++w){T=v[w]+(1<<28);var M=x*w;h[y++]=g[M+b],h[y++]=-T,h[y++]=g[M+_],h[y++]=T}var A=y>>>1;a(h,A);var S=0,E=0;for(w=0;w<A;++w){var L=0|h[2*w+1];if(L>=1<<28)p(l,c,E--,L=L-(1<<28)|0);else if(L>=0)p(o,s,S--,L);else if(L<=-(1<<28)){L=-L-(1<<28)|0;for(var C=0;C<S;++C){if(void 0!==(P=e(o[C],L)))return P}d(l,c,E++,L)}else{L=-L-1|0;for(C=0;C<E;++C){var P;if(void 0!==(P=e(L,l[C])))return P}d(o,s,S++,L)}}},sweepComplete:function(t,e,r,n,i,m,g,v,y,x){for(var b=0,_=2*t,w=t-1,T=_-1,k=r;k<n;++k){var 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f=u.prototype;function h(){this.primalOffset=[0,0,0],this.primalMinor=[0,0,0],this.mirrorOffset=[0,0,0],this.mirrorMinor=[0,0,0]}f.update=function(t){function e(e,r,n){if(n in t){var i,a=t[n],o=this[n];(e?Array.isArray(a)&&Array.isArray(a[0]):Array.isArray(a))?this[n]=i=[r(a[0]),r(a[1]),r(a[2])]:this[n]=i=[r(a),r(a),r(a)];for(var s=0;s<3;++s)if(i[s]!==o[s])return!0}return!1}t=t||{};var r,a=e.bind(this,!1,Number),o=e.bind(this,!1,Boolean),l=e.bind(this,!1,String),c=e.bind(this,!0,(function(t){if(Array.isArray(t)){if(3===t.length)return[+t[0],+t[1],+t[2],1];if(4===t.length)return[+t[0],+t[1],+t[2],+t[3]]}return[0,0,0,1]})),u=!1,f=!1;if(\\\"bounds\\\"in t)for(var h=t.bounds,p=0;p<2;++p)for(var d=0;d<3;++d)h[p][d]!==this.bounds[p][d]&&(f=!0),this.bounds[p][d]=h[p][d];if(\\\"ticks\\\"in t){r=t.ticks,u=!0,this.autoTicks=!1;for(p=0;p<3;++p)this.tickSpacing[p]=0}else a(\\\"tickSpacing\\\")&&(this.autoTicks=!0,f=!0);if(this._firstInit&&(\\\"ticks\\\"in t||\\\"tickSpacing\\\"in t||(this.autoTicks=!0),f=!0,u=!0,this._firstInit=!1),f&&this.autoTicks&&(r=s.create(this.bounds,this.tickSpacing),u=!0),u){for(p=0;p<3;++p)r[p].sort((function(t,e){return t.x-e.x}));s.equal(r,this.ticks)?u=!1:this.ticks=r}o(\\\"tickEnable\\\"),l(\\\"tickFont\\\")&&(u=!0),a(\\\"tickSize\\\"),a(\\\"tickAngle\\\"),a(\\\"tickPad\\\"),c(\\\"tickColor\\\");var m=l(\\\"labels\\\");l(\\\"labelFont\\\")&&(m=!0),o(\\\"labelEnable\\\"),a(\\\"labelSize\\\"),a(\\\"labelPad\\\"),c(\\\"labelColor\\\"),o(\\\"lineEnable\\\"),o(\\\"lineMirror\\\"),a(\\\"lineWidth\\\"),c(\\\"lineColor\\\"),o(\\\"lineTickEnable\\\"),o(\\\"lineTickMirror\\\"),a(\\\"lineTickLength\\\"),a(\\\"lineTickWidth\\\"),c(\\\"lineTickColor\\\"),o(\\\"gridEnable\\\"),a(\\\"gridWidth\\\"),c(\\\"gridColor\\\"),o(\\\"zeroEnable\\\"),c(\\\"zeroLineColor\\\"),a(\\\"zeroLineWidth\\\"),o(\\\"backgroundEnable\\\"),c(\\\"backgroundColor\\\"),this._text?this._text&&(m||u)&&this._text.update(this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont):this._text=n(this.gl,this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont),this._lines&&u&&(this._lines.dispose(),this._lines=null),this._lines||(this._lines=i(this.gl,this.bounds,this.ticks))};var p=[new h,new h,new h];function d(t,e,r,n,i){for(var a=t.primalOffset,o=t.primalMinor,s=t.mirrorOffset,l=t.mirrorMinor,c=n[e],u=0;u<3;++u)if(e!==u){var f=a,h=s,p=o,d=l;c&1<<u&&(f=s,h=a,p=l,d=o),f[u]=r[0][u],h[u]=r[1][u],i[u]>0?(p[u]=-1,d[u]=0):(p[u]=0,d[u]=1)}}var m=[0,0,0],g={model:l,view:l,projection:l,_ortho:!1};f.isOpaque=function(){return!0},f.isTransparent=function(){return!1},f.drawTransparent=function(t){};var v=[0,0,0],y=[0,0,0],x=[0,0,0];f.draw=function(t){t=t||g;for(var e=this.gl,r=t.model||l,n=t.view||l,i=t.projection||l,a=this.bounds,s=t._ortho||!1,u=o(r,n,i,a,s),f=u.cubeEdges,h=u.axis,b=n[12],_=n[13],w=n[14],T=n[15],k=(s?2:1)*this.pixelRatio*(i[3]*b+i[7]*_+i[11]*w+i[15]*T)/e.drawingBufferHeight,M=0;M<3;++M)this.lastCubeProps.cubeEdges[M]=f[M],this.lastCubeProps.axis[M]=h[M];var A=p;for(M=0;M<3;++M)d(p[M],M,this.bounds,f,h);e=this.gl;var S,E=m;for(M=0;M<3;++M)this.backgroundEnable[M]?E[M]=h[M]:E[M]=0;this._background.draw(r,n,i,a,E,this.backgroundColor),this._lines.bind(r,n,i,this);for(M=0;M<3;++M){var L=[0,0,0];h[M]>0?L[M]=a[1][M]:L[M]=a[0][M];for(var C=0;C<2;++C){var P=(M+1+C)%3,I=(M+1+(1^C))%3;this.gridEnable[P]&&this._lines.drawGrid(P,I,this.bounds,L,this.gridColor[P],this.gridWidth[P]*this.pixelRatio)}for(C=0;C<2;++C){P=(M+1+C)%3,I=(M+1+(1^C))%3;this.zeroEnable[I]&&Math.min(a[0][I],a[1][I])<=0&&Math.max(a[0][I],a[1][I])>=0&&this._lines.drawZero(P,I,this.bounds,L,this.zeroLineColor[I],this.zeroLineWidth[I]*this.pixelRatio)}}for(M=0;M<3;++M){this.lineEnable[M]&&this._lines.drawAxisLine(M,this.bounds,A[M].primalOffset,this.lineColor[M],this.lineWidth[M]*this.pixelRatio),this.lineMirror[M]&&this._lines.drawAxisLine(M,this.bounds,A[M].mirrorOffset,this.lineColor[M],this.lineWidth[M]*this.pixelRatio);var O=c(v,A[M].primalMinor),z=c(y,A[M].mirrorMinor),D=this.lineTickLength;for(C=0;C<3;++C){var R=k/r[5*C];O[C]*=D[C]*R,z[C]*=D[C]*R}this.lineTickEnable[M]&&this._lines.drawAxisTicks(M,A[M].primalOffset,O,this.lineTickColor[M],this.lineTickWidth[M]*this.pixelRatio),this.lineTickMirror[M]&&this._lines.drawAxisTicks(M,A[M].mirrorOffset,z,this.lineTickColor[M],this.lineTickWidth[M]*this.pixelRatio)}this._lines.unbind(),this._text.bind(r,n,i,this.pixelRatio);var F,B;function N(t){(B=[0,0,0])[t]=1}function j(t,e,r){var n=(t+1)%3,i=(t+2)%3,a=e[n],o=e[i],s=r[n],l=r[i];a>0&&l>0||a>0&&l<0||a<0&&l>0||a<0&&l<0?N(n):(o>0&&s>0||o>0&&s<0||o<0&&s>0||o<0&&s<0)&&N(i)}for(M=0;M<3;++M){var U=A[M].primalMinor,V=A[M].mirrorMinor,q=c(x,A[M].primalOffset);for(C=0;C<3;++C)this.lineTickEnable[M]&&(q[C]+=k*U[C]*Math.max(this.lineTickLength[C],0)/r[5*C]);var H=[0,0,0];if(H[M]=1,this.tickEnable[M]){-3600===this.tickAngle[M]?(this.tickAngle[M]=0,this.tickAlign[M]=\\\"auto\\\"):this.tickAlign[M]=-1,F=1,\\\"auto\\\"===(S=[this.tickAlign[M],.5,F])[0]?S[0]=0:S[0]=parseInt(\\\"\\\"+S[0]),B=[0,0,0],j(M,U,V);for(C=0;C<3;++C)q[C]+=k*U[C]*this.tickPad[C]/r[5*C];this._text.drawTicks(M,this.tickSize[M],this.tickAngle[M],q,this.tickColor[M],H,B,S)}if(this.labelEnable[M]){F=0,B=[0,0,0],this.labels[M].length>4&&(N(M),F=1),\\\"auto\\\"===(S=[this.labelAlign[M],.5,F])[0]?S[0]=0:S[0]=parseInt(\\\"\\\"+S[0]);for(C=0;C<3;++C)q[C]+=k*U[C]*this.labelPad[C]/r[5*C];q[M]+=.5*(a[0][M]+a[1][M]),this._text.drawLabel(M,this.labelSize[M],this.labelAngle[M],q,this.labelColor[M],[0,0,0],B,S)}}this._text.unbind()},f.dispose=function(){this._text.dispose(),this._lines.dispose(),this._background.dispose(),this._lines=null,this._text=null,this._background=null,this.gl=null}},{\\\"./lib/background.js\\\":251,\\\"./lib/cube.js\\\":252,\\\"./lib/lines.js\\\":253,\\\"./lib/text.js\\\":255,\\\"./lib/ticks.js\\\":256}],251:[function(t,e,r){\\\"use strict\\\";e.exports=function(t){for(var e=[],r=[],s=0,l=0;l<3;++l)for(var c=(l+1)%3,u=(l+2)%3,f=[0,0,0],h=[0,0,0],p=-1;p<=1;p+=2){r.push(s,s+2,s+1,s+1,s+2,s+3),f[l]=p,h[l]=p;for(var d=-1;d<=1;d+=2){f[c]=d;for(var m=-1;m<=1;m+=2)f[u]=m,e.push(f[0],f[1],f[2],h[0],h[1],h[2]),s+=1}var g=c;c=u,u=g}var v=n(t,new Float32Array(e)),y=n(t,new Uint16Array(r),t.ELEMENT_ARRAY_BUFFER),x=i(t,[{buffer:v,type:t.FLOAT,size:3,offset:0,stride:24},{buffer:v,type:t.FLOAT,size:3,offset:12,stride:24}],y),b=a(t);return b.attributes.position.location=0,b.attributes.normal.location=1,new o(t,v,x,b)};var n=t(\\\"gl-buffer\\\"),i=t(\\\"gl-vao\\\"),a=t(\\\"./shaders\\\").bg;function o(t,e,r,n){this.gl=t,this.buffer=e,this.vao=r,this.shader=n}var s=o.prototype;s.draw=function(t,e,r,n,i,a){for(var o=!1,s=0;s<3;++s)o=o||i[s];if(o){var l=this.gl;l.enable(l.POLYGON_OFFSET_FILL),l.polygonOffset(1,2),this.shader.bind(),this.shader.uniforms={model:t,view:e,projection:r,bounds:n,enable:i,colors:a},this.vao.bind(),this.vao.draw(this.gl.TRIANGLES,36),this.vao.unbind(),l.disable(l.POLYGON_OFFSET_FILL)}},s.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()}},{\\\"./shaders\\\":254,\\\"gl-buffer\\\":259,\\\"gl-vao\\\":353}],252:[function(t,e,r){\\\"use strict\\\";e.exports=function(t,e,r,a,p){i(s,e,t),i(s,r,s);for(var y=0,x=0;x<2;++x){u[2]=a[x][2];for(var b=0;b<2;++b){u[1]=a[b][1];for(var _=0;_<2;++_)u[0]=a[_][0],h(l[y],u,s),y+=1}}var w=-1;for(x=0;x<8;++x){for(var T=l[x][3],k=0;k<3;++k)c[x][k]=l[x][k]/T;p&&(c[x][2]*=-1),T<0&&(w<0||c[x][2]<c[w][2])&&(w=x)}if(w<0){w=0;for(var M=0;M<3;++M){for(var A=(M+2)%3,S=(M+1)%3,E=-1,L=-1,C=0;C<2;++C){var P=(O=C<<M)+(C<<A)+(1-C<<S),I=O+(1-C<<A)+(C<<S);o(c[O],c[P],c[I],f)<0||(C?E=1:L=1)}if(E<0||L<0)L>E&&(w|=1<<M);else{for(C=0;C<2;++C){P=(O=C<<M)+(C<<A)+(1-C<<S),I=O+(1-C<<A)+(C<<S);var O,z=d([l[O],l[P],l[I],l[O+(1<<A)+(1<<S)]]);C?E=z:L=z}L>E&&(w|=1<<M)}}}var D=7^w,R=-1;for(x=0;x<8;++x)x!==w&&x!==D&&(R<0||c[R][1]>c[x][1])&&(R=x);var F=-1;for(x=0;x<3;++x){if((N=R^1<<x)!==w&&N!==D)F<0&&(F=N),(S=c[N])[0]<c[F][0]&&(F=N)}var B=-1;for(x=0;x<3;++x){var N;if((N=R^1<<x)!==w&&N!==D&&N!==F)B<0&&(B=N),(S=c[N])[0]>c[B][0]&&(B=N)}var j=m;j[0]=j[1]=j[2]=0,j[n.log2(F^R)]=R&F,j[n.log2(R^B)]=R&B;var U=7^B;U===w||U===D?(U=7^F,j[n.log2(B^U)]=U&B):j[n.log2(F^U)]=U&F;var V=g,q=w;for(M=0;M<3;++M)V[M]=q&1<<M?-1:1;return v};var n=t(\\\"bit-twiddle\\\"),i=t(\\\"gl-mat4/multiply\\\"),a=t(\\\"split-polygon\\\"),o=t(\\\"robust-orientation\\\"),s=new Array(16),l=new Array(8),c=new Array(8),u=new Array(3),f=[0,0,0];function h(t,e,r){for(var n=0;n<4;++n){t[n]=r[12+n];for(var i=0;i<3;++i)t[n]+=e[i]*r[4*i+n]}}!function(){for(var t=0;t<8;++t)l[t]=[1,1,1,1],c[t]=[1,1,1]}();var p=[[0,0,1,0,0],[0,0,-1,1,0],[0,-1,0,1,0],[0,1,0,1,0],[-1,0,0,1,0],[1,0,0,1,0]];function d(t){for(var e=0;e<p.length;++e)if((t=a.positive(t,p[e])).length<3)return 0;var r=t[0],n=r[0]/r[3],i=r[1]/r[3],o=0;for(e=1;e+1<t.length;++e){var s=t[e],l=t[e+1],c=s[0]/s[3]-n,u=s[1]/s[3]-i,f=l[0]/l[3]-n,h=l[1]/l[3]-i;o+=Math.abs(c*h-u*f)}return o}var m=[1,1,1],g=[0,0,0],v={cubeEdges:m,axis:g}},{\\\"bit-twiddle\\\":100,\\\"gl-mat4/multiply\\\":293,\\\"robust-orientation\\\":540,\\\"split-polygon\\\":559}],253:[function(t,e,r){\\\"use strict\\\";e.exports=function(t,e,r){var o=[],s=[0,0,0],l=[0,0,0],c=[0,0,0],u=[0,0,0];o.push(0,0,1,0,1,1,0,0,-1,0,0,-1,0,1,1,0,1,-1);for(var f=0;f<3;++f){for(var h=o.length/3|0,d=0;d<r[f].length;++d){var m=+r[f][d].x;o.push(m,0,1,m,1,1,m,0,-1,m,0,-1,m,1,1,m,1,-1)}var g=o.length/3|0;s[f]=h,l[f]=g-h;h=o.length/3|0;for(var v=0;v<r[f].length;++v){m=+r[f][v].x;o.push(m,0,1,m,1,1,m,0,-1,m,0,-1,m,1,1,m,1,-1)}g=o.length/3|0;c[f]=h,u[f]=g-h}var y=n(t,new Float32Array(o)),x=i(t,[{buffer:y,type:t.FLOAT,size:3,stride:0,offset:0}]),b=a(t);return b.attributes.position.location=0,new p(t,y,x,b,l,s,u,c)};var n=t(\\\"gl-buffer\\\"),i=t(\\\"gl-vao\\\"),a=t(\\\"./shaders\\\").line,o=[0,0,0],s=[0,0,0],l=[0,0,0],c=[0,0,0],u=[1,1];function f(t){return t[0]=t[1]=t[2]=0,t}function h(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}function p(t,e,r,n,i,a,o,s){this.gl=t,this.vertBuffer=e,this.vao=r,this.shader=n,this.tickCount=i,this.tickOffset=a,this.gridCount=o,this.gridOffset=s}var d=p.prototype;d.bind=function(t,e,r){this.shader.bind(),this.shader.uniforms.model=t,this.shader.uniforms.view=e,this.shader.uniforms.projection=r,u[0]=this.gl.drawingBufferWidth,u[1]=this.gl.drawingBufferHeight,this.shader.uniforms.screenShape=u,this.vao.bind()},d.unbind=function(){this.vao.unbind()},d.drawAxisLine=function(t,e,r,n,i){var a=f(s);this.shader.uniforms.majorAxis=s,a[t]=e[1][t]-e[0][t],this.shader.uniforms.minorAxis=a;var o,u=h(c,r);u[t]+=e[0][t],this.shader.uniforms.offset=u,this.shader.uniforms.lineWidth=i,this.shader.uniforms.color=n,(o=f(l))[(t+2)%3]=1,this.shader.uniforms.screenAxis=o,this.vao.draw(this.gl.TRIANGLES,6),(o=f(l))[(t+1)%3]=1,this.shader.uniforms.screenAxis=o,this.vao.draw(this.gl.TRIANGLES,6)},d.drawAxisTicks=function(t,e,r,n,i){if(this.tickCount[t]){var a=f(o);a[t]=1,this.shader.uniforms.majorAxis=a,this.shader.uniforms.offset=e,this.shader.uniforms.minorAxis=r,this.shader.uniforms.color=n,this.shader.uniforms.lineWidth=i;var s=f(l);s[t]=1,this.shader.uniforms.screenAxis=s,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t])}},d.drawGrid=function(t,e,r,n,i,a){if(this.gridCount[t]){var u=f(s);u[e]=r[1][e]-r[0][e],this.shader.uniforms.minorAxis=u;var p=h(c,n);p[e]+=r[0][e],this.shader.uniforms.offset=p;var d=f(o);d[t]=1,this.shader.uniforms.majorAxis=d;var m=f(l);m[t]=1,this.shader.uniforms.screenAxis=m,this.shader.uniforms.lineWidth=a,this.shader.uniforms.color=i,this.vao.draw(this.gl.TRIANGLES,this.gridCount[t],this.gridOffset[t])}},d.drawZero=function(t,e,r,n,i,a){var o=f(s);this.shader.uniforms.majorAxis=o,o[t]=r[1][t]-r[0][t],this.shader.uniforms.minorAxis=o;var u=h(c,n);u[t]+=r[0][t],this.shader.uniforms.offset=u;var p=f(l);p[e]=1,this.shader.uniforms.screenAxis=p,this.shader.uniforms.lineWidth=a,this.shader.uniforms.color=i,this.vao.draw(this.gl.TRIANGLES,6)},d.dispose=function(){this.vao.dispose(),this.vertBuffer.dispose(),this.shader.dispose()}},{\\\"./shaders\\\":254,\\\"gl-buffer\\\":259,\\\"gl-vao\\\":353}],254:[function(t,e,r){\\\"use strict\\\";var n=t(\\\"glslify\\\"),i=t(\\\"gl-shader\\\"),a=n([\\\"precision highp float;\\\\n#define GLSLIFY 1\\\\n\\\\nattribute vec3 position;\\\\n\\\\nuniform mat4 model, view, projection;\\\\nuniform vec3 offset, majorAxis, minorAxis, screenAxis;\\\\nuniform float lineWidth;\\\\nuniform vec2 screenShape;\\\\n\\\\nvec3 project(vec3 p) {\\\\n  vec4 pp = projection * view * model * vec4(p, 1.0);\\\\n  return pp.xyz / max(pp.w, 0.0001);\\\\n}\\\\n\\\\nvoid main() {\\\\n  vec3 major = position.x * majorAxis;\\\\n  vec3 minor = position.y * minorAxis;\\\\n\\\\n  vec3 vPosition = major + minor + offset;\\\\n  vec3 pPosition = project(vPosition);\\\\n  vec3 offset = project(vPosition + screenAxis * position.z);\\\\n\\\\n  vec2 screen = normalize((offset - pPosition).xy * screenShape) / screenShape;\\\\n\\\\n  gl_Position = vec4(pPosition + vec3(0.5 * screen * lineWidth, 0), 1.0);\\\\n}\\\\n\\\"]),o=n([\\\"precision highp float;\\\\n#define GLSLIFY 1\\\\n\\\\nuniform vec4 color;\\\\nvoid main() {\\\\n  gl_FragColor = color;\\\\n}\\\"]);r.line=function(t){return i(t,a,o,null,[{name:\\\"position\\\",type:\\\"vec3\\\"}])};var s=n([\\\"precision highp float;\\\\n#define GLSLIFY 1\\\\n\\\\nattribute vec3 position;\\\\n\\\\nuniform mat4 model, view, projection;\\\\nuniform vec3 offset, axis, alignDir, alignOpt;\\\\nuniform float scale, angle, pixelScale;\\\\nuniform vec2 resolution;\\\\n\\\\nvec3 project(vec3 p) {\\\\n  vec4 pp = projection * view * model * vec4(p, 1.0);\\\\n  return pp.xyz / max(pp.w, 0.0001);\\\\n}\\\\n\\\\nfloat computeViewAngle(vec3 a, vec3 b) {\\\\n  vec3 A = project(a);\\\\n  vec3 B = project(b);\\\\n\\\\n  return atan(\\\\n    (B.y - A.y) * resolution.y,\\\\n    (B.x - A.x) * resolution.x\\\\n  );\\\\n}\\\\n\\\\nconst float PI = 3.141592;\\\\nconst float TWO_PI = 2.0 * PI;\\\\nconst float HALF_PI = 0.5 * PI;\\\\nconst float ONE_AND_HALF_PI = 1.5 * PI;\\\\n\\\\nint option = int(floor(alignOpt.x + 0.001));\\\\nfloat hv_ratio =       alignOpt.y;\\\\nbool enableAlign =    (alignOpt.z != 0.0);\\\\n\\\\nfloat mod_angle(float a) {\\\\n  return mod(a, PI);\\\\n}\\\\n\\\\nfloat positive_angle(float a) {\\\\n  return mod_angle((a < 0.0) ?\\\\n    a + TWO_PI :\\\\n    a\\\\n  );\\\\n}\\\\n\\\\nfloat look_upwards(float a) {\\\\n  float b = positive_angle(a);\\\\n  return ((b > HALF_PI) && (b <= ONE_AND_HALF_PI)) ?\\\\n    b - PI :\\\\n    b;\\\\n}\\\\n\\\\nfloat look_horizontal_or_vertical(float a, float ratio) {\\\\n  // ratio controls the ratio between being horizontal to (vertical + horizontal)\\\\n  // if ratio is set to 0.5 then it is 50%, 50%.\\\\n  // when using a higher ratio e.g. 0.75 the result would\\\\n  // likely be more horizontal than vertical.\\\\n\\\\n  float b = positive_angle(a);\\\\n\\\\n  return\\\\n    (b < (      ratio) * HALF_PI) ? 0.0 :\\\\n    (b < (2.0 - ratio) * HALF_PI) ? -HALF_PI :\\\\n    (b < (2.0 + ratio) * HALF_PI) ? 0.0 :\\\\n    (b < (4.0 - ratio) * HALF_PI) ? HALF_PI :\\\\n                                    0.0;\\\\n}\\\\n\\\\nfloat roundTo(float a, float b) {\\\\n  return float(b * floor((a + 0.5 * b) / b));\\\\n}\\\\n\\\\nfloat look_round_n_directions(float a, int n) {\\\\n  float b = positive_angle(a);\\\\n  float div = TWO_PI / float(n);\\\\n  float c = roundTo(b, div);\\\\n  return look_upwards(c);\\\\n}\\\\n\\\\nfloat applyAlignOption(float rawAngle, float delta) {\\\\n  return\\\\n    (option >  2) ? look_round_n_directions(rawAngle + delta, option) :       // option 3-n: round to n directions\\\\n    (option == 2) ? look_horizontal_or_vertical(rawAngle + delta, hv_ratio) : // horizontal or vertical\\\\n    (option == 1) ? rawAngle + delta :       // use free angle, and flip to align with one direction of the axis\\\\n    (option == 0) ? look_upwards(rawAngle) : // use free angle, and stay upwards\\\\n    (option ==-1) ? 0.0 :                    // useful for backward compatibility, all texts remains horizontal\\\\n                    rawAngle;                // otherwise return back raw input angle\\\\n}\\\\n\\\\nbool isAxisTitle = (axis.x == 0.0) &&\\\\n                   (axis.y == 0.0) &&\\\\n                   (axis.z == 0.0);\\\\n\\\\nvoid main() {\\\\n  //Compute world offset\\\\n  float axisDistance = position.z;\\\\n  vec3 dataPosition = axisDistance * axis + offset;\\\\n\\\\n  float beta = angle; // i.e. user defined attributes for each tick\\\\n\\\\n  float axisAngle;\\\\n  float clipAngle;\\\\n  float flip;\\\\n\\\\n  if (enableAlign) {\\\\n    axisAngle = (isAxisTitle) ? HALF_PI :\\\\n                      computeViewAngle(dataPosition, dataPosition + axis);\\\\n    clipAngle = computeViewAngle(dataPosition, dataPosition + alignDir);\\\\n\\\\n    axisAngle += (sin(axisAngle) < 0.0) ? PI : 0.0;\\\\n    clipAngle += (sin(clipAngle) < 0.0) ? PI : 0.0;\\\\n\\\\n    flip = (dot(vec2(cos(axisAngle), sin(axisAngle)),\\\\n                vec2(sin(clipAngle),-cos(clipAngle))) > 0.0) ? 1.0 : 0.0;\\\\n\\\\n    beta += applyAlignOption(clipAngle, flip * PI);\\\\n  }\\\\n\\\\n  //Compute plane offset\\\\n  vec2 planeCoord = position.xy * pixelScale;\\\\n\\\\n  mat2 planeXform = scale * mat2(\\\\n     cos(beta), sin(beta),\\\\n    -sin(beta), cos(beta)\\\\n  );\\\\n\\\\n  vec2 viewOffset = 2.0 * planeXform * planeCoord / resolution;\\\\n\\\\n  //Compute clip position\\\\n  vec3 clipPosition = project(dataPosition);\\\\n\\\\n  //Apply text offset in clip coordinates\\\\n  clipPosition += vec3(viewOffset, 0.0);\\\\n\\\\n  //Done\\\\n  gl_Position = vec4(clipPosition, 1.0);\\\\n}\\\"]),l=n([\\\"precision highp float;\\\\n#define GLSLIFY 1\\\\n\\\\nuniform vec4 color;\\\\nvoid main() {\\\\n  gl_FragColor = color;\\\\n}\\\"]);r.text=function(t){return i(t,s,l,null,[{name:\\\"position\\\",type:\\\"vec3\\\"}])};var c=n([\\\"precision highp float;\\\\n#define GLSLIFY 1\\\\n\\\\nattribute vec3 position;\\\\nattribute vec3 normal;\\\\n\\\\nuniform mat4 model, view, projection;\\\\nuniform vec3 enable;\\\\nuniform vec3 bounds[2];\\\\n\\\\nvarying vec3 colorChannel;\\\\n\\\\nvoid main() {\\\\n\\\\n  vec3 signAxis = sign(bounds[1] - bounds[0]);\\\\n\\\\n  vec3 realNormal = signAxis * normal;\\\\n\\\\n  if(dot(realNormal, enable) > 0.0) {\\\\n    vec3 minRange = min(bounds[0], bounds[1]);\\\\n    vec3 maxRange = max(bounds[0], bounds[1]);\\\\n    vec3 nPosition = mix(minRange, maxRange, 0.5 * (position + 1.0));\\\\n    gl_Position = projection * view * model * vec4(nPosition, 1.0);\\\\n  } else {\\\\n    gl_Position = vec4(0,0,0,0);\\\\n  }\\\\n\\\\n  colorChannel = abs(realNormal);\\\\n}\\\"]),u=n([\\\"precision highp float;\\\\n#define GLSLIFY 1\\\\n\\\\nuniform vec4 colors[3];\\\\n\\\\nvarying vec3 colorChannel;\\\\n\\\\nvoid main() {\\\\n  gl_FragColor = colorChannel.x * colors[0] +\\\\n                 colorChannel.y * colors[1] +\\\\n                 colorChannel.z * colors[2];\\\\n}\\\"]);r.bg=function(t){return i(t,c,u,null,[{name:\\\"position\\\",type:\\\"vec3\\\"},{name:\\\"normal\\\",type:\\\"vec3\\\"}])}},{\\\"gl-shader\\\":331,glslify:257}],255:[function(t,e,r){(function(r){(function(){\\\"use strict\\\";e.exports=function(t,e,r,a,s,l){var u=n(t),f=i(t,[{buffer:u,size:3}]),h=o(t);h.attributes.position.location=0;var p=new c(t,h,u,f);return p.update(e,r,a,s,l),p};var n=t(\\\"gl-buffer\\\"),i=t(\\\"gl-vao\\\"),a=t(\\\"vectorize-text\\\"),o=t(\\\"./shaders\\\").text,s=window||r.global||{},l=s.__TEXT_CACHE||{};s.__TEXT_CACHE={};function c(t,e,r,n){this.gl=t,this.shader=e,this.buffer=r,this.vao=n,this.tickOffset=this.tickCount=this.labelOffset=this.labelCount=null}var u=c.prototype,f=[0,0];u.bind=function(t,e,r,n){this.vao.bind(),this.shader.bind();var i=this.shader.uniforms;i.model=t,i.view=e,i.projection=r,i.pixelScale=n,f[0]=this.gl.drawingBufferWidth,f[1]=this.gl.drawingBufferHeight,this.shader.uniforms.resolution=f},u.unbind=function(){this.vao.unbind()},u.update=function(t,e,r,n,i){var o=[];function s(t,e,r,n,i,s){var c=l[r];c||(c=l[r]={});var u=c[e];u||(u=c[e]=function(t,e){try{return a(t,e)}catch(e){return console.warn('error vectorizing text:\\\"'+t+'\\\" error:',e),{cells:[],positions:[]}}}(e,{triangles:!0,font:r,textAlign:\\\"center\\\",textBaseline:\\\"middle\\\",lineSpacing:i,styletags:s}));for(var f=(n||12)/12,h=u.positions,p=u.cells,d=0,m=p.length;d<m;++d)for(var g=p[d],v=2;v>=0;--v){var y=h[g[v]];o.push(f*y[0],-f*y[1],t)}}for(var c=[0,0,0],u=[0,0,0],f=[0,0,0],h=[0,0,0],p={breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},d=0;d<3;++d){f[d]=o.length/3|0,s(.5*(t[0][d]+t[1][d]),e[d],r[d],12,1.25,p),h[d]=(o.length/3|0)-f[d],c[d]=o.length/3|0;for(var m=0;m<n[d].length;++m)n[d][m].text&&s(n[d][m].x,n[d][m].text,n[d][m].font||i,n[d][m].fontSize||12,1.25,p);u[d]=(o.length/3|0)-c[d]}this.buffer.update(o),this.tickOffset=c,this.tickCount=u,this.labelOffset=f,this.labelCount=h},u.drawTicks=function(t,e,r,n,i,a,o,s){this.tickCount[t]&&(this.shader.uniforms.axis=a,this.shader.uniforms.color=i,this.shader.uniforms.angle=r,this.shader.uniforms.scale=e,this.shader.uniforms.offset=n,this.shader.uniforms.alignDir=o,this.shader.uniforms.alignOpt=s,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t]))},u.drawLabel=function(t,e,r,n,i,a,o,s){this.labelCount[t]&&(this.shader.uniforms.axis=a,this.shader.uniforms.color=i,this.shader.uniforms.angle=r,this.shader.uniforms.scale=e,this.shader.uniforms.offset=n,this.shader.uniforms.alignDir=o,this.shader.uniforms.alignOpt=s,this.vao.draw(this.gl.TRIANGLES,this.labelCount[t],this.labelOffset[t]))},u.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()}}).call(this)}).call(this,t(\\\"_process\\\"))},{\\\"./shaders\\\":254,_process:520,\\\"gl-buffer\\\":259,\\\"gl-vao\\\":353,\\\"vectorize-text\\\":615}],256:[function(t,e,r){\\\"use 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n=t(\\\"extract-frustum-planes\\\"),i=t(\\\"split-polygon\\\"),a=t(\\\"./lib/cube.js\\\"),o=t(\\\"gl-mat4/multiply\\\"),s=t(\\\"gl-mat4/transpose\\\"),l=t(\\\"gl-vec4/transformMat4\\\"),c=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]),u=new Float32Array(16);function f(t,e,r){this.lo=t,this.hi=e,this.pixelsPerDataUnit=r}var h=[0,0,0,1],p=[0,0,0,1];function d(t,e,r,n,i){for(var a=0;a<3;++a){for(var o=h,s=p,c=0;c<3;++c)s[c]=o[c]=r[c];s[3]=o[3]=1,s[a]+=1,l(s,s,e),s[3]<0&&(t[a]=1/0),o[a]-=1,l(o,o,e),o[3]<0&&(t[a]=1/0);var u=(o[0]/o[3]-s[0]/s[3])*n,f=(o[1]/o[3]-s[1]/s[3])*i;t[a]=.25*Math.sqrt(u*u+f*f)}return t}var m=[new f(1/0,-1/0,1/0),new f(1/0,-1/0,1/0),new f(1/0,-1/0,1/0)],g=[0,0,0]},{\\\"./lib/cube.js\\\":252,\\\"extract-frustum-planes\\\":240,\\\"gl-mat4/multiply\\\":293,\\\"gl-mat4/transpose\\\":304,\\\"gl-vec4/transformMat4\\\":424,\\\"split-polygon\\\":559}],259:[function(t,e,r){\\\"use strict\\\";var n=t(\\\"typedarray-pool\\\"),i=t(\\\"ndarray-ops\\\"),a=t(\\\"ndarray\\\"),o=[\\\"uint8\\\",\\\"uint8_clamped\\\",\\\"uint16\\\",\\\"uint32\\\",\\\"int8\\\",\\\"int16\\\",\\\"int32\\\",\\\"float32\\\"];function s(t,e,r,n,i){this.gl=t,this.type=e,this.handle=r,this.length=n,this.usage=i}var l=s.prototype;function c(t,e,r,n,i,a){var o=i.length*i.BYTES_PER_ELEMENT;if(a<0)return t.bufferData(e,i,n),o;if(o+a>r)throw new Error(\\\"gl-buffer: If resizing buffer, must not specify offset\\\");return t.bufferSubData(e,a,i),r}function u(t,e){for(var r=n.malloc(t.length,e),i=t.length,a=0;a<i;++a)r[a]=t[a];return r}l.bind=function(){this.gl.bindBuffer(this.type,this.handle)},l.unbind=function(){this.gl.bindBuffer(this.type,null)},l.dispose=function(){this.gl.deleteBuffer(this.handle)},l.update=function(t,e){if(\\\"number\\\"!=typeof e&&(e=-1),this.bind(),\\\"object\\\"==typeof t&&void 0!==t.shape){var r=t.dtype;if(o.indexOf(r)<0&&(r=\\\"float32\\\"),this.type===this.gl.ELEMENT_ARRAY_BUFFER)r=gl.getExtension(\\\"OES_element_index_uint\\\")&&\\\"uint16\\\"!==r?\\\"uint32\\\":\\\"uint16\\\";if(r===t.dtype&&function(t,e){for(var r=1,n=e.length-1;n>=0;--n){if(e[n]!==r)return!1;r*=t[n]}return!0}(t.shape,t.stride))0===t.offset&&t.data.length===t.shape[0]?this.length=c(this.gl,this.type,this.length,this.usage,t.data,e):this.length=c(this.gl,this.type,this.length,this.usage,t.data.subarray(t.offset,t.shape[0]),e);else{var s=n.malloc(t.size,r),l=a(s,t.shape);i.assign(l,t),this.length=c(this.gl,this.type,this.length,this.usage,e<0?s:s.subarray(0,t.size),e),n.free(s)}}else if(Array.isArray(t)){var f;f=this.type===this.gl.ELEMENT_ARRAY_BUFFER?u(t,\\\"uint16\\\"):u(t,\\\"float32\\\"),this.length=c(this.gl,this.type,this.length,this.usage,e<0?f:f.subarray(0,t.length),e),n.free(f)}else if(\\\"object\\\"==typeof t&&\\\"number\\\"==typeof 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r=t.positions,i=t.vectors,a={positions:[],vertexIntensity:[],vertexIntensityBounds:t.vertexIntensityBounds,vectors:[],cells:[],coneOffset:t.coneOffset,colormap:t.colormap};if(0===t.positions.length)return e&&(e[0]=[0,0,0],e[1]=[0,0,0]),a;for(var o=0,s=1/0,l=-1/0,c=1/0,u=-1/0,f=1/0,h=-1/0,p=null,d=null,m=[],g=1/0,v=!1,y=0;y<r.length;y++){var x=r[y];s=Math.min(x[0],s),l=Math.max(x[0],l),c=Math.min(x[1],c),u=Math.max(x[1],u),f=Math.min(x[2],f),h=Math.max(x[2],h);var b=i[y];if(n.length(b)>o&&(o=n.length(b)),y){var _=2*n.distance(p,x)/(n.length(d)+n.length(b));_?(g=Math.min(g,_),v=!1):v=!0}v||(p=x,d=b),m.push(b)}var w=[s,c,f],T=[l,u,h];e&&(e[0]=w,e[1]=T),0===o&&(o=1);var k=1/o;isFinite(g)||(g=1),a.vectorScale=g;var M=t.coneSize||.5;t.absoluteConeSize&&(M=t.absoluteConeSize*k),a.coneScale=M;y=0;for(var A=0;y<r.length;y++)for(var S=(x=r[y])[0],E=x[1],L=x[2],C=m[y],P=n.length(C)*k,I=0;I<8;I++){a.positions.push([S,E,L,A++]),a.positions.push([S,E,L,A++]),a.positions.push([S,E,L,A++]),a.positions.push([S,E,L,A++]),a.positions.push([S,E,L,A++]),a.positions.push([S,E,L,A++]),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vertexIntensity.push(P,P,P),a.vertexIntensity.push(P,P,P);var O=a.positions.length;a.cells.push([O-6,O-5,O-4],[O-3,O-2,O-1])}return a};var i=t(\\\"./lib/shaders\\\");e.exports.createMesh=t(\\\"./create_mesh\\\"),e.exports.createConeMesh=function(t,r){return e.exports.createMesh(t,r,{shaders:i,traceType:\\\"cone\\\"})}},{\\\"./create_mesh\\\":261,\\\"./lib/shaders\\\":262,\\\"gl-vec3\\\":372}],261:[function(t,e,r){\\\"use strict\\\";var n=t(\\\"gl-shader\\\"),i=t(\\\"gl-buffer\\\"),a=t(\\\"gl-vao\\\"),o=t(\\\"gl-texture2d\\\"),s=t(\\\"gl-mat4/multiply\\\"),l=t(\\\"gl-mat4/invert\\\"),c=t(\\\"ndarray\\\"),u=t(\\\"colormap\\\"),f=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function h(t,e,r,n,i,a,o,s,l,c,u){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.pickShader=n,this.trianglePositions=i,this.triangleVectors=a,this.triangleColors=s,this.triangleUVs=l,this.triangleIds=o,this.triangleVAO=c,this.triangleCount=0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.traceType=u,this.tubeScale=1,this.coneScale=2,this.vectorScale=1,this.coneOffset=.25,this._model=f,this._view=f,this._projection=f,this._resolution=[1,1]}var p=h.prototype;function d(t,e){var r=n(t,e.meshShader.vertex,e.meshShader.fragment,null,e.meshShader.attributes);return r.attributes.position.location=0,r.attributes.color.location=2,r.attributes.uv.location=3,r.attributes.vector.location=4,r}function m(t,e){var r=n(t,e.pickShader.vertex,e.pickShader.fragment,null,e.pickShader.attributes);return r.attributes.position.location=0,r.attributes.id.location=1,r.attributes.vector.location=4,r}p.isOpaque=function(){return this.opacity>=1},p.isTransparent=function(){return this.opacity<1},p.pickSlots=1,p.setPickBase=function(t){this.pickId=t},p.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,\\\"lightPosition\\\"in t&&(this.lightPosition=t.lightPosition),\\\"opacity\\\"in t&&(this.opacity=t.opacity),\\\"ambient\\\"in t&&(this.ambientLight=t.ambient),\\\"diffuse\\\"in t&&(this.diffuseLight=t.diffuse),\\\"specular\\\"in t&&(this.specularLight=t.specular),\\\"roughness\\\"in t&&(this.roughness=t.roughness),\\\"fresnel\\\"in t&&(this.fresnel=t.fresnel),void 0!==t.tubeScale&&(this.tubeScale=t.tubeScale),void 0!==t.vectorScale&&(this.vectorScale=t.vectorScale),void 0!==t.coneScale&&(this.coneScale=t.coneScale),void 0!==t.coneOffset&&(this.coneOffset=t.coneOffset),t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(function(t){for(var e=u({colormap:t,nshades:256,format:\\\"rgba\\\"}),r=new Uint8Array(1024),n=0;n<256;++n){for(var i=e[n],a=0;a<3;++a)r[4*n+a]=i[a];r[4*n+3]=255*i[3]}return c(r,[256,256,4],[4,0,1])}(t.colormap)),this.texture.generateMipmap());var r=t.cells,n=t.positions,i=t.vectors;if(n&&r&&i){var a=[],o=[],s=[],l=[],f=[];this.cells=r,this.positions=n,this.vectors=i;var h=t.meshColor||[1,1,1,1],p=t.vertexIntensity,d=1/0,m=-1/0;if(p)if(t.vertexIntensityBounds)d=+t.vertexIntensityBounds[0],m=+t.vertexIntensityBounds[1];else for(var g=0;g<p.length;++g){var v=p[g];d=Math.min(d,v),m=Math.max(m,v)}else for(g=0;g<n.length;++g){v=n[g][2];d=Math.min(d,v),m=Math.max(m,v)}this.intensity=p||function(t){for(var e=t.length,r=new Array(e),n=0;n<e;++n)r[n]=t[n][2];return r}(n),this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(g=0;g<n.length;++g)for(var y=n[g],x=0;x<3;++x)!isNaN(y[x])&&isFinite(y[x])&&(this.bounds[0][x]=Math.min(this.bounds[0][x],y[x]),this.bounds[1][x]=Math.max(this.bounds[1][x],y[x]));var b=0;t:for(g=0;g<r.length;++g){var _=r[g];switch(_.length){case 3:for(x=0;x<3;++x){y=n[T=_[x]];for(var w=0;w<3;++w)if(isNaN(y[w])||!isFinite(y[w]))continue t}for(x=0;x<3;++x){var T;y=n[T=_[2-x]];a.push(y[0],y[1],y[2],y[3]);var k=i[T];o.push(k[0],k[1],k[2],k[3]||0);var M,A=h;3===A.length?s.push(A[0],A[1],A[2],1):s.push(A[0],A[1],A[2],A[3]),M=p?[(p[T]-d)/(m-d),0]:[(y[2]-d)/(m-d),0],l.push(M[0],M[1]),f.push(g)}b+=1}}this.triangleCount=b,this.trianglePositions.update(a),this.triangleVectors.update(o),this.triangleColors.update(s),this.triangleUVs.update(l),this.triangleIds.update(new Uint32Array(f))}},p.drawTransparent=p.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||f,n=t.view||f,i=t.projection||f,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);var c={model:r,view:n,projection:i,inverseModel:f.slice(),clipBounds:a,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],opacity:this.opacity,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,texture:0};c.inverseModel=l(c.inverseModel,c.model),e.disable(e.CULL_FACE),this.texture.bind(0);var u=new Array(16);s(u,c.view,c.model),s(u,c.projection,u),l(u,u);for(o=0;o<3;++o)c.eyePosition[o]=u[12+o]/u[15];var h=u[15];for(o=0;o<3;++o)h+=this.lightPosition[o]*u[4*o+3];for(o=0;o<3;++o){for(var p=u[12+o],d=0;d<3;++d)p+=u[4*d+o]*this.lightPosition[d];c.lightPosition[o]=p/h}if(this.triangleCount>0){var m=this.triShader;m.bind(),m.uniforms=c,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()}},p.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||f,n=t.view||f,i=t.projection||f,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(i),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s={model:r,view:n,projection:i,clipBounds:a,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,pickId:this.pickId/255},l=this.pickShader;l.bind(),l.uniforms=s,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind())},p.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions[r[1]].slice(0,3),i={position:n,dataCoordinate:n,index:Math.floor(r[1]/48)};return\\\"cone\\\"===this.traceType?i.index=Math.floor(r[1]/48):\\\"streamtube\\\"===this.traceType&&(i.intensity=this.intensity[r[1]],i.velocity=this.vectors[r[1]].slice(0,3),i.divergence=this.vectors[r[1]][3],i.index=e),i},p.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.pickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleVectors.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleIds.dispose()},e.exports=function(t,e,r){var n=r.shaders;1===arguments.length&&(t=(e=t).gl);var s=d(t,n),l=m(t,n),u=o(t,c(new Uint8Array([255,255,255,255]),[1,1,4]));u.generateMipmap(),u.minFilter=t.LINEAR_MIPMAP_LINEAR,u.magFilter=t.LINEAR;var f=i(t),p=i(t),g=i(t),v=i(t),y=i(t),x=a(t,[{buffer:f,type:t.FLOAT,size:4},{buffer:y,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:g,type:t.FLOAT,size:4},{buffer:v,type:t.FLOAT,size:2},{buffer:p,type:t.FLOAT,size:4}]),b=new h(t,u,s,l,f,p,y,g,v,x,r.traceType||\\\"cone\\\");return b.update(e),b}},{colormap:133,\\\"gl-buffer\\\":259,\\\"gl-mat4/invert\\\":291,\\\"gl-mat4/multiply\\\":293,\\\"gl-shader\\\":331,\\\"gl-texture2d\\\":348,\\\"gl-vao\\\":353,ndarray:475}],262:[function(t,e,r){var n=t(\\\"glslify\\\"),i=n([\\\"precision highp float;\\\\n\\\\nprecision highp float;\\\\n#define GLSLIFY 1\\\\n\\\\nvec3 getOrthogonalVector(vec3 v) {\\\\n  // Return up-vector for only-z vector.\\\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\\\n  // Assign z = 0, x = -b, y = a:\\\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\\\n    return normalize(vec3(-v.y, v.x, 0.0));\\\\n  } else {\\\\n    return normalize(vec3(0.0, v.z, -v.y));\\\\n  }\\\\n}\\\\n\\\\n// Calculate the cone vertex and normal at the given index.\\\\n//\\\\n// The returned vertex is for a cone with its top at origin and height of 1.0,\\\\n// pointing in the direction of the vector attribute.\\\\n//\\\\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\\\\n// These vertices are used to make up the triangles of the cone by the following:\\\\n//   segment + 0 top vertex\\\\n//   segment + 1 perimeter vertex a+1\\\\n//   segment + 2 perimeter vertex a\\\\n//   segment + 3 center base vertex\\\\n//   segment + 4 perimeter vertex a\\\\n//   segment + 5 perimeter vertex a+1\\\\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\\\\n// To go from index to segment, floor(index / 6)\\\\n// To go from segment to angle, 2*pi * (segment/segmentCount)\\\\n// To go from index to segment index, index - (segment*6)\\\\n//\\\\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\\\\n\\\\n  const float segmentCount = 8.0;\\\\n\\\\n  float index = rawIndex - floor(rawIndex /\\\\n    (segmentCount * 6.0)) *\\\\n    (segmentCount * 6.0);\\\\n\\\\n  float segment = floor(0.001 + index/6.0);\\\\n  float segmentIndex = index - (segment*6.0);\\\\n\\\\n  normal = -normalize(d);\\\\n\\\\n  if (segmentIndex > 2.99 && segmentIndex < 3.01) {\\\\n    return mix(vec3(0.0), -d, coneOffset);\\\\n  }\\\\n\\\\n  float nextAngle = (\\\\n    (segmentIndex > 0.99 &&  segmentIndex < 1.01) ||\\\\n    (segmentIndex > 4.99 &&  segmentIndex < 5.01)\\\\n  ) ? 1.0 : 0.0;\\\\n  float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\\\\n\\\\n  vec3 v1 = mix(d, vec3(0.0), coneOffset);\\\\n  vec3 v2 = v1 - d;\\\\n\\\\n  vec3 u = getOrthogonalVector(d);\\\\n  vec3 v = normalize(cross(u, d));\\\\n\\\\n  vec3 x = u * cos(angle) * length(d)*0.25;\\\\n  vec3 y = v * sin(angle) * length(d)*0.25;\\\\n  vec3 v3 = v2 + x + y;\\\\n  if (segmentIndex < 3.0) {\\\\n    vec3 tx = u * sin(angle);\\\\n    vec3 ty = v * -cos(angle);\\\\n    vec3 tangent = tx + ty;\\\\n    normal = normalize(cross(v3 - v1, tangent));\\\\n  }\\\\n\\\\n  if (segmentIndex == 0.0) {\\\\n    return mix(d, vec3(0.0), coneOffset);\\\\n  }\\\\n  return v3;\\\\n}\\\\n\\\\nattribute vec3 vector;\\\\nattribute vec4 color, position;\\\\nattribute vec2 uv;\\\\n\\\\nuniform float vectorScale, coneScale, coneOffset;\\\\nuniform mat4 model, view, projection, inverseModel;\\\\nuniform vec3 eyePosition, lightPosition;\\\\n\\\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\\\nvarying vec4 f_color;\\\\nvarying vec2 f_uv;\\\\n\\\\nvoid main() {\\\\n  // Scale the vector magnitude to stay constant with\\\\n  // model & view changes.\\\\n  vec3 normal;\\\\n  vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector), position.w, coneOffset, normal);\\\\n  vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\\\n\\\\n  //Lighting geometry parameters\\\\n  vec4 cameraCoordinate = view * conePosition;\\\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\\\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\\\\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\\\\n  f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\\\n\\\\n  // vec4 m_position  = model * vec4(conePosition, 1.0);\\\\n  vec4 t_position  = view * conePosition;\\\\n  gl_Position      = projection * t_position;\\\\n\\\\n  f_color          = color;\\\\n  f_data           = conePosition.xyz;\\\\n  f_position       = position.xyz;\\\\n  f_uv             = uv;\\\\n}\\\\n\\\"]),a=n([\\\"#extension GL_OES_standard_derivatives : enable\\\\n\\\\nprecision highp float;\\\\n#define GLSLIFY 1\\\\n\\\\nfloat beckmannDistribution(float x, float roughness) {\\\\n  float NdotH = max(x, 0.0001);\\\\n  float cos2Alpha = NdotH * NdotH;\\\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\\\n  float roughness2 = roughness * roughness;\\\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\\\n  return exp(tan2Alpha / roughness2) / denom;\\\\n}\\\\n\\\\nfloat cookTorranceSpecular(\\\\n  vec3 lightDirection,\\\\n  vec3 viewDirection,\\\\n  vec3 surfaceNormal,\\\\n  float roughness,\\\\n  float fresnel) {\\\\n\\\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\\\n\\\\n  //Half angle vector\\\\n  vec3 H = normalize(lightDirection + viewDirection);\\\\n\\\\n  //Geometric term\\\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\\\n  float G = min(1.0, min(G1, G2));\\\\n  \\\\n  //Distribution term\\\\n  float D = beckmannDistribution(NdotH, roughness);\\\\n\\\\n  //Fresnel term\\\\n  float F = pow(1.0 - VdotN, fresnel);\\\\n\\\\n  //Multiply terms and done\\\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\\\n}\\\\n\\\\nbool outOfRange(float a, float b, float p) {\\\\n  return ((p > max(a, b)) || \\\\n          (p < min(a, b)));\\\\n}\\\\n\\\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\\\n  return (outOfRange(a.x, b.x, p.x) ||\\\\n          outOfRange(a.y, b.y, p.y));\\\\n}\\\\n\\\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\\\n  return (outOfRange(a.x, b.x, p.x) ||\\\\n          outOfRange(a.y, b.y, p.y) ||\\\\n          outOfRange(a.z, b.z, p.z));\\\\n}\\\\n\\\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\\\n}\\\\n\\\\nuniform vec3 clipBounds[2];\\\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\\\nuniform sampler2D texture;\\\\n\\\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\\\nvarying vec4 f_color;\\\\nvarying vec2 f_uv;\\\\n\\\\nvoid main() {\\\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\\\n  vec3 N = normalize(f_normal);\\\\n  vec3 L = normalize(f_lightDirection);\\\\n  vec3 V = normalize(f_eyeDirection);\\\\n\\\\n  if(gl_FrontFacing) {\\\\n    N = -N;\\\\n  }\\\\n\\\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\\\n\\\\n  vec4 surfaceColor = f_color * texture2D(texture, f_uv);\\\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\\\n\\\\n  gl_FragColor = litColor * opacity;\\\\n}\\\\n\\\"]),o=n([\\\"precision highp float;\\\\n\\\\nprecision highp float;\\\\n#define GLSLIFY 1\\\\n\\\\nvec3 getOrthogonalVector(vec3 v) {\\\\n  // Return up-vector for only-z vector.\\\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\\\n  // Assign z = 0, x = -b, y = a:\\\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\\\n    return normalize(vec3(-v.y, v.x, 0.0));\\\\n  } else {\\\\n    return normalize(vec3(0.0, v.z, -v.y));\\\\n  }\\\\n}\\\\n\\\\n// Calculate the cone vertex and normal at the given index.\\\\n//\\\\n// The returned vertex is for a cone with its top at origin and height of 1.0,\\\\n// pointing in the direction of the vector attribute.\\\\n//\\\\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\\\\n// These vertices are used to make up the triangles of the cone by the following:\\\\n//   segment + 0 top vertex\\\\n//   segment + 1 perimeter vertex a+1\\\\n//   segment + 2 perimeter vertex a\\\\n//   segment + 3 center base vertex\\\\n//   segment + 4 perimeter vertex a\\\\n//   segment + 5 perimeter vertex a+1\\\\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\\\\n// To go from index to segment, floor(index / 6)\\\\n// To go from segment to angle, 2*pi * (segment/segmentCount)\\\\n// To go from index to segment index, index - (segment*6)\\\\n//\\\\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\\\\n\\\\n  const float segmentCount = 8.0;\\\\n\\\\n  float index = rawIndex - floor(rawIndex /\\\\n    (segmentCount * 6.0)) *\\\\n    (segmentCount * 6.0);\\\\n\\\\n  float segment = floor(0.001 + index/6.0);\\\\n  float segmentIndex = index - (segment*6.0);\\\\n\\\\n  normal = -normalize(d);\\\\n\\\\n  if (segmentIndex > 2.99 && segmentIndex < 3.01) {\\\\n    return mix(vec3(0.0), -d, coneOffset);\\\\n  }\\\\n\\\\n  float nextAngle = (\\\\n    (segmentIndex > 0.99 &&  segmentIndex < 1.01) ||\\\\n    (segmentIndex > 4.99 &&  segmentIndex < 5.01)\\\\n  ) ? 1.0 : 0.0;\\\\n  float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\\\\n\\\\n  vec3 v1 = mix(d, vec3(0.0), coneOffset);\\\\n  vec3 v2 = v1 - d;\\\\n\\\\n  vec3 u = getOrthogonalVector(d);\\\\n  vec3 v = normalize(cross(u, d));\\\\n\\\\n  vec3 x = u * cos(angle) * length(d)*0.25;\\\\n  vec3 y = v * sin(angle) * length(d)*0.25;\\\\n  vec3 v3 = v2 + x + y;\\\\n  if (segmentIndex < 3.0) {\\\\n    vec3 tx = u * sin(angle);\\\\n    vec3 ty = v * -cos(angle);\\\\n    vec3 tangent = tx + ty;\\\\n    normal = normalize(cross(v3 - v1, tangent));\\\\n  }\\\\n\\\\n  if (segmentIndex == 0.0) {\\\\n    return mix(d, vec3(0.0), coneOffset);\\\\n  }\\\\n  return v3;\\\\n}\\\\n\\\\nattribute vec4 vector;\\\\nattribute vec4 position;\\\\nattribute vec4 id;\\\\n\\\\nuniform mat4 model, view, projection;\\\\nuniform float vectorScale, coneScale, coneOffset;\\\\n\\\\nvarying vec3 f_position;\\\\nvarying vec4 f_id;\\\\n\\\\nvoid main() {\\\\n  vec3 normal;\\\\n  vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector.xyz), position.w, coneOffset, normal);\\\\n  vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\\\n  gl_Position = projection * view * conePosition;\\\\n  f_id        = id;\\\\n  f_position  = position.xyz;\\\\n}\\\\n\\\"]),s=n([\\\"precision highp float;\\\\n#define GLSLIFY 1\\\\n\\\\nbool outOfRange(float a, float b, float p) {\\\\n  return ((p > max(a, b)) || \\\\n          (p < min(a, b)));\\\\n}\\\\n\\\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\\\n  return (outOfRange(a.x, b.x, p.x) ||\\\\n          outOfRange(a.y, b.y, p.y));\\\\n}\\\\n\\\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\\\n  return (outOfRange(a.x, b.x, p.x) ||\\\\n          outOfRange(a.y, b.y, p.y) ||\\\\n          outOfRange(a.z, b.z, p.z));\\\\n}\\\\n\\\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\\\n}\\\\n\\\\nuniform vec3  clipBounds[2];\\\\nuniform float pickId;\\\\n\\\\nvarying vec3 f_position;\\\\nvarying vec4 f_id;\\\\n\\\\nvoid main() {\\\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\\\n\\\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\\\n}\\\"]);r.meshShader={vertex:i,fragment:a,attributes:[{name:\\\"position\\\",type:\\\"vec4\\\"},{name:\\\"color\\\",type:\\\"vec4\\\"},{name:\\\"uv\\\",type:\\\"vec2\\\"},{name:\\\"vector\\\",type:\\\"vec3\\\"}]},r.pickShader={vertex:o,fragment:s,attributes:[{name:\\\"position\\\",type:\\\"vec4\\\"},{name:\\\"id\\\",type:\\\"vec4\\\"},{name:\\\"vector\\\",type:\\\"vec3\\\"}]}},{glslify:434}],263:[function(t,e,r){e.exports={0:\\\"NONE\\\",1:\\\"ONE\\\",2:\\\"LINE_LOOP\\\",3:\\\"LINE_STRIP\\\",4:\\\"TRIANGLES\\\",5:\\\"TRIANGLE_STRIP\\\",6:\\\"TRIANGLE_FAN\\\",256:\\\"DEPTH_BUFFER_BIT\\\",512:\\\"NEVER\\\",513:\\\"LESS\\\",514:\\\"EQUAL\\\",515:\\\"LEQUAL\\\",516:\\\"GREATER\\\",517:\\\"NOTEQUAL\\\",518:\\\"GEQUAL\\\",519:\\\"ALWAYS\\\",768:\\\"SRC_COLOR\\\",769:\\\"ONE_MINUS_SRC_COLOR\\\",770:\\\"SRC_ALPHA\\\",771:\\\"ONE_MINUS_SRC_ALPHA\\\",772:\\\"DST_ALPHA\\\",773:\\\"ONE_MINUS_DST_ALPHA\\\",774:\\\"DST_COLOR\\\",775:\\\"ONE_MINUS_DST_COLOR\\\",776:\\\"SRC_ALPHA_SATURATE\\\",1024:\\\"STENCIL_BUFFER_BIT\\\",1028:\\\"FRONT\\\",1029:\\\"BACK\\\",1032:\\\"FRONT_AND_BACK\\\",1280:\\\"INVALID_ENUM\\\",1281:\\\"INVALID_VALUE\\\",1282:\\\"INVALID_OPERATION\\\",1285:\\\"OUT_OF_MEMORY\\\",1286:\\\"INVALID_FRAMEBUFFER_OPERATION\\\",2304:\\\"CW\\\",2305:\\\"CCW\\\",2849:\\\"LINE_WIDTH\\\",2884:\\\"CULL_FACE\\\",2885:\\\"CULL_FACE_MODE\\\",2886:\\\"FRONT_FACE\\\",2928:\\\"DEPTH_RANGE\\\",2929:\\\"DEPTH_TEST\\\",2930:\\\"DEPTH_WRITEMASK\\\",2931:\\\"DEPTH_CLEAR_VALUE\\\",2932:\\\"DEPTH_FUNC\\\",2960:\\\"STENCIL_TEST\\\",2961:\\\"STENCIL_CLEAR_VALUE\\\",2962:\\\"STENCIL_FUNC\\\",2963:\\\"STENCIL_VALUE_MASK\\\",2964:\\\"STENCIL_FAIL\\\",2965:\\\"STENCIL_PASS_DEPTH_FAIL\\\",2966:\\\"STENCIL_PASS_DEPTH_PASS\\\",2967:\\\"STENCIL_REF\\\",2968:\\\"STENCIL_WRITEMASK\\\",2978:\\\"VIEWPORT\\\",3024:\\\"DITHER\\\",3042:\\\"BLEND\\\",3088:\\\"SCISSOR_BOX\\\",3089:\\\"SCISSOR_TEST\\\",3106:\\\"COLOR_CLEAR_VALUE\\\",3107:\\\"COLOR_WRITEMASK\\\",3317:\\\"UNPACK_ALIGNMENT\\\",3333:\\\"PACK_ALIGNMENT\\\",3379:\\\"MAX_TEXTURE_SIZE\\\",3386:\\\"MAX_VIEWPORT_DIMS\\\",3408:\\\"SUBPIXEL_BITS\\\",3410:\\\"RED_BITS\\\",3411:\\\"GREEN_BITS\\\",3412:\\\"BLUE_BITS\\\",3413:\\\"ALPHA_BITS\\\",3414:\\\"DEPTH_BITS\\\",3415:\\\"STENCIL_BITS\\\",3553:\\\"TEXTURE_2D\\\",4352:\\\"DONT_CARE\\\",4353:\\\"FASTEST\\\",4354:\\\"NICEST\\\",5120:\\\"BYTE\\\",5121:\\\"UNSIGNED_BYTE\\\",5122:\\\"SHORT\\\",5123:\\\"UNSIGNED_SHORT\\\",5124:\\\"INT\\\",5125:\\\"UNSIGNED_INT\\\",5126:\\\"FLOAT\\\",5386:\\\"INVERT\\\",5890:\\\"TEXTURE\\\",6401:\\\"STENCIL_INDEX\\\",6402:\\\"DEPTH_COMPONENT\\\",6406:\\\"ALPHA\\\",6407:\\\"RGB\\\",6408:\\\"RGBA\\\",6409:\\\"LUMINANCE\\\",6410:\\\"LUMINANCE_ALPHA\\\",7680:\\\"KEEP\\\",7681:\\\"REPLACE\\\",7682:\\\"INCR\\\",7683:\\\"DECR\\\",7936:\\\"VENDOR\\\",7937:\\\"RENDERER\\\",7938:\\\"VERSION\\\",9728:\\\"NEAREST\\\",9729:\\\"LINEAR\\\",9984:\\\"NEAREST_MIPMAP_NEAREST\\\",9985:\\\"LINEAR_MIPMAP_NEAREST\\\",9986:\\\"NEAREST_MIPMAP_LINEAR\\\",9987:\\\"LINEAR_MIPMAP_LINEAR\\\",10240:\\\"TEXTURE_MAG_FILTER\\\",10241:\\\"TEXTURE_MIN_FILTER\\\",10242:\\\"TEXTURE_WRAP_S\\\",10243:\\\"TEXTURE_WRAP_T\\\",10497:\\\"REPEAT\\\",10752:\\\"POLYGON_OFFSET_UNITS\\\",16384:\\\"COLOR_BUFFER_BIT\\\",32769:\\\"CONSTANT_COLOR\\\",32770:\\\"ONE_MINUS_CONSTANT_COLOR\\\",32771:\\\"CONSTANT_ALPHA\\\",32772:\\\"ONE_MINUS_CONSTANT_ALPHA\\\",32773:\\\"BLEND_COLOR\\\",32774:\\\"FUNC_ADD\\\",32777:\\\"BLEND_EQUATION_RGB\\\",32778:\\\"FUNC_SUBTRACT\\\",32779:\\\"FUNC_REVERSE_SUBTRACT\\\",32819:\\\"UNSIGNED_SHORT_4_4_4_4\\\",32820:\\\"UNSIGNED_SHORT_5_5_5_1\\\",32823:\\\"POLYGON_OFFSET_FILL\\\",32824:\\\"POLYGON_OFFSET_FACTOR\\\",32854:\\\"RGBA4\\\",32855:\\\"RGB5_A1\\\",32873:\\\"TEXTURE_BINDING_2D\\\",32926:\\\"SAMPLE_ALPHA_TO_COVERAGE\\\",32928:\\\"SAMPLE_COVERAGE\\\",32936:\\\"SAMPLE_BUFFERS\\\",32937:\\\"SAMPLES\\\",32938:\\\"SAMPLE_COVERAGE_VALUE\\\",32939:\\\"SAMPLE_COVERAGE_INVERT\\\",32968:\\\"BLEND_DST_RGB\\\",32969:\\\"BLEND_SRC_RGB\\\",32970:\\\"BLEND_DST_ALPHA\\\",32971:\\\"BLEND_SRC_ALPHA\\\",33071:\\\"CLAMP_TO_EDGE\\\",33170:\\\"GENERATE_MIPMAP_HINT\\\",33189:\\\"DEPTH_COMPONENT16\\\",33306:\\\"DEPTH_STENCIL_ATTACHMENT\\\",33635:\\\"UNSIGNED_SHORT_5_6_5\\\",33648:\\\"MIRRORED_REPEAT\\\",33901:\\\"ALIASED_POINT_SIZE_RANGE\\\",33902:\\\"ALIASED_LINE_WIDTH_RANGE\\\",33984:\\\"TEXTURE0\\\",33985:\\\"TEXTURE1\\\",33986:\\\"TEXTURE2\\\",33987:\\\"TEXTURE3\\\",33988:\\\"TEXTURE4\\\",33989:\\\"TEXTURE5\\\",33990:\\\"TEXTURE6\\\",33991:\\\"TEXTURE7\\\",33992:\\\"TEXTURE8\\\",33993:\\\"TEXTURE9\\\",33994:\\\"TEXTURE10\\\",33995:\\\"TEXTURE11\\\",33996:\\\"TEXTURE12\\\",33997:\\\"TEXTURE13\\\",33998:\\\"TEXTURE14\\\",33999:\\\"TEXTURE15\\\",34e3:\\\"TEXTURE16\\\",34001:\\\"TEXTURE17\\\",34002:\\\"TEXTURE18\\\",34003:\\\"TEXTURE19\\\",34004:\\\"TEXTURE20\\\",34005:\\\"TEXTURE21\\\",34006:\\\"TEXTURE22\\\",34007:\\\"TEXTURE23\\\",34008:\\\"TEXTURE24\\\",34009:\\\"TEXTURE25\\\",34010:\\\"TEXTURE26\\\",34011:\\\"TEXTURE27\\\",34012:\\\"TEXTURE28\\\",34013:\\\"TEXTURE29\\\",34014:\\\"TEXTURE30\\\",34015:\\\"TEXTURE31\\\",34016:\\\"ACTIVE_TEXTURE\\\",34024:\\\"MAX_RENDERBUFFER_SIZE\\\",34041:\\\"DEPTH_STENCIL\\\",34055:\\\"INCR_WRAP\\\",34056:\\\"DECR_WRAP\\\",34067:\\\"TEXTURE_CUBE_MAP\\\",34068:\\\"TEXTURE_BINDING_CUBE_MAP\\\",34069:\\\"TEXTURE_CUBE_MAP_POSITIVE_X\\\",34070:\\\"TEXTURE_CUBE_MAP_NEGATIVE_X\\\",34071:\\\"TEXTURE_CUBE_MAP_POSITIVE_Y\\\",34072:\\\"TEXTURE_CUBE_MAP_NEGATIVE_Y\\\",34073:\\\"TEXTURE_CUBE_MAP_POSITIVE_Z\\\",34074:\\\"TEXTURE_CUBE_MAP_NEGATIVE_Z\\\",34076:\\\"MAX_CUBE_MAP_TEXTURE_SIZE\\\",34338:\\\"VERTEX_ATTRIB_ARRAY_ENABLED\\\",34339:\\\"VERTEX_ATTRIB_ARRAY_SIZE\\\",34340:\\\"VERTEX_ATTRIB_ARRAY_STRIDE\\\",34341:\\\"VERTEX_ATTRIB_ARRAY_TYPE\\\",34342:\\\"CURRENT_VERTEX_ATTRIB\\\",34373:\\\"VERTEX_ATTRIB_ARRAY_POINTER\\\",34466:\\\"NUM_COMPRESSED_TEXTURE_FORMATS\\\",34467:\\\"COMPRESSED_TEXTURE_FORMATS\\\",34660:\\\"BUFFER_SIZE\\\",34661:\\\"BUFFER_USAGE\\\",34816:\\\"STENCIL_BACK_FUNC\\\",34817:\\\"STENCIL_BACK_FAIL\\\",34818:\\\"STENCIL_BACK_PASS_DEPTH_FAIL\\\",34819:\\\"STENCIL_BACK_PASS_DEPTH_PASS\\\",34877:\\\"BLEND_EQUATION_ALPHA\\\",34921:\\\"MAX_VERTEX_ATTRIBS\\\",34922:\\\"VERTEX_ATTRIB_ARRAY_NORMALIZED\\\",34930:\\\"MAX_TEXTURE_IMAGE_UNITS\\\",34962:\\\"ARRAY_BUFFER\\\",34963:\\\"ELEMENT_ARRAY_BUFFER\\\",34964:\\\"ARRAY_BUFFER_BINDING\\\",34965:\\\"ELEMENT_ARRAY_BUFFER_BINDING\\\",34975:\\\"VERTEX_ATTRIB_ARRAY_BUFFER_BINDING\\\",35040:\\\"STREAM_DRAW\\\",35044:\\\"STATIC_DRAW\\\",35048:\\\"DYNAMIC_DRAW\\\",35632:\\\"FRAGMENT_SHADER\\\",35633:\\\"VERTEX_SHADER\\\",35660:\\\"MAX_VERTEX_TEXTURE_IMAGE_UNITS\\\",35661:\\\"MAX_COMBINED_TEXTURE_IMAGE_UNITS\\\",35663:\\\"SHADER_TYPE\\\",35664:\\\"FLOAT_VEC2\\\",35665:\\\"FLOAT_VEC3\\\",35666:\\\"FLOAT_VEC4\\\",35667:\\\"INT_VEC2\\\",35668:\\\"INT_VEC3\\\",35669:\\\"INT_VEC4\\\",35670:\\\"BOOL\\\",35671:\\\"BOOL_VEC2\\\",35672:\\\"BOOL_VEC3\\\",35673:\\\"BOOL_VEC4\\\",35674:\\\"FLOAT_MAT2\\\",35675:\\\"FLOAT_MAT3\\\",35676:\\\"FLOAT_MAT4\\\",35678:\\\"SAMPLER_2D\\\",35680:\\\"SAMPLER_CUBE\\\",35712:\\\"DELETE_STATUS\\\",35713:\\\"COMPILE_STATUS\\\",35714:\\\"LINK_STATUS\\\",35715:\\\"VALIDATE_STATUS\\\",35716:\\\"INFO_LOG_LENGTH\\\",35717:\\\"ATTACHED_SHADERS\\\",35718:\\\"ACTIVE_UNIFORMS\\\",35719:\\\"ACTIVE_UNIFORM_MAX_LENGTH\\\",35720:\\\"SHADER_SOURCE_LENGTH\\\",35721:\\\"ACTIVE_ATTRIBUTES\\\",35722:\\\"ACTIVE_ATTRIBUTE_MAX_LENGTH\\\",35724:\\\"SHADING_LANGUAGE_VERSION\\\",35725:\\\"CURRENT_PROGRAM\\\",36003:\\\"STENCIL_BACK_REF\\\",36004:\\\"STENCIL_BACK_VALUE_MASK\\\",36005:\\\"STENCIL_BACK_WRITEMASK\\\",36006:\\\"FRAMEBUFFER_BINDING\\\",36007:\\\"RENDERBUFFER_BINDING\\\",36048:\\\"FRAMEBUFFER_ATTACHMENT_OBJECT_TYPE\\\",36049:\\\"FRAMEBUFFER_ATTACHMENT_OBJECT_NAME\\\",36050:\\\"FRAMEBUFFER_ATTACHMENT_TEXTURE_LEVEL\\\",36051:\\\"FRAMEBUFFER_ATTACHMENT_TEXTURE_CUBE_MAP_FACE\\\",36053:\\\"FRAMEBUFFER_COMPLETE\\\",36054:\\\"FRAMEBUFFER_INCOMPLETE_ATTACHMENT\\\",36055:\\\"FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT\\\",36057:\\\"FRAMEBUFFER_INCOMPLETE_DIMENSIONS\\\",36061:\\\"FRAMEBUFFER_UNSUPPORTED\\\",36064:\\\"COLOR_ATTACHMENT0\\\",36096:\\\"DEPTH_ATTACHMENT\\\",36128:\\\"STENCIL_ATTACHMENT\\\",36160:\\\"FRAMEBUFFER\\\",36161:\\\"RENDERBUFFER\\\",36162:\\\"RENDERBUFFER_WIDTH\\\",36163:\\\"RENDERBUFFER_HEIGHT\\\",36164:\\\"RENDERBUFFER_INTERNAL_FORMAT\\\",36168:\\\"STENCIL_INDEX8\\\",36176:\\\"RENDERBUFFER_RED_SIZE\\\",36177:\\\"RENDERBUFFER_GREEN_SIZE\\\",36178:\\\"RENDERBUFFER_BLUE_SIZE\\\",36179:\\\"RENDERBUFFER_ALPHA_SIZE\\\",36180:\\\"RENDERBUFFER_DEPTH_SIZE\\\",36181:\\\"RENDERBUFFER_STENCIL_SIZE\\\",36194:\\\"RGB565\\\",36336:\\\"LOW_FLOAT\\\",36337:\\\"MEDIUM_FLOAT\\\",36338:\\\"HIGH_FLOAT\\\",36339:\\\"LOW_INT\\\",36340:\\\"MEDIUM_INT\\\",36341:\\\"HIGH_INT\\\",36346:\\\"SHADER_COMPILER\\\",36347:\\\"MAX_VERTEX_UNIFORM_VECTORS\\\",36348:\\\"MAX_VARYING_VECTORS\\\",36349:\\\"MAX_FRAGMENT_UNIFORM_VECTORS\\\",37440:\\\"UNPACK_FLIP_Y_WEBGL\\\",37441:\\\"UNPACK_PREMULTIPLY_ALPHA_WEBGL\\\",37442:\\\"CONTEXT_LOST_WEBGL\\\",37443:\\\"UNPACK_COLORSPACE_CONVERSION_WEBGL\\\",37444:\\\"BROWSER_DEFAULT_WEBGL\\\"}},{}],264:[function(t,e,r){var n=t(\\\"./1.0/numbers\\\");e.exports=function(t){return n[t]}},{\\\"./1.0/numbers\\\":263}],265:[function(t,e,r){\\\"use strict\\\";e.exports=function(t){var e=t.gl,r=n(e),o=i(e,[{buffer:r,type:e.FLOAT,size:3,offset:0,stride:40},{buffer:r,type:e.FLOAT,size:4,offset:12,stride:40},{buffer:r,type:e.FLOAT,size:3,offset:28,stride:40}]),l=a(e);l.attributes.position.location=0,l.attributes.color.location=1,l.attributes.offset.location=2;var c=new s(e,r,o,l);return c.update(t),c};var n=t(\\\"gl-buffer\\\"),i=t(\\\"gl-vao\\\"),a=t(\\\"./shaders/index\\\"),o=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function s(t,e,r,n){this.gl=t,this.shader=n,this.buffer=e,this.vao=r,this.pixelRatio=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lineWidth=[1,1,1],this.capSize=[10,10,10],this.lineCount=[0,0,0],this.lineOffset=[0,0,0],this.opacity=1,this.hasAlpha=!1}var l=s.prototype;function c(t,e){for(var r=0;r<3;++r)t[0][r]=Math.min(t[0][r],e[r]),t[1][r]=Math.max(t[1][r],e[r])}l.isOpaque=function(){return!this.hasAlpha},l.isTransparent=function(){return this.hasAlpha},l.drawTransparent=l.draw=function(t){var e=this.gl,r=this.shader.uniforms;this.shader.bind();var n=r.view=t.view||o,i=r.projection=t.projection||o;r.model=t.model||o,r.clipBounds=this.clipBounds,r.opacity=this.opacity;var a=n[12],s=n[13],l=n[14],c=n[15],u=(t._ortho||!1?2:1)*this.pixelRatio*(i[3]*a+i[7]*s+i[11]*l+i[15]*c)/e.drawingBufferHeight;this.vao.bind();for(var f=0;f<3;++f)e.lineWidth(this.lineWidth[f]*this.pixelRatio),r.capSize=this.capSize[f]*u,this.lineCount[f]&&e.drawArrays(e.LINES,this.lineOffset[f],this.lineCount[f]);this.vao.unbind()};var u=function(){for(var t=new Array(3),e=0;e<3;++e){for(var r=[],n=1;n<=2;++n)for(var i=-1;i<=1;i+=2){var a=[0,0,0];a[(n+e)%3]=i,r.push(a)}t[e]=r}return t}();function f(t,e,r,n){for(var i=u[n],a=0;a<i.length;++a){var o=i[a];t.push(e[0],e[1],e[2],r[0],r[1],r[2],r[3],o[0],o[1],o[2])}return i.length}l.update=function(t){\\\"lineWidth\\\"in(t=t||{})&&(this.lineWidth=t.lineWidth,Array.isArray(this.lineWidth)||(this.lineWidth=[this.lineWidth,this.lineWidth,this.lineWidth])),\\\"capSize\\\"in t&&(this.capSize=t.capSize,Array.isArray(this.capSize)||(this.capSize=[this.capSize,this.capSize,this.capSize])),this.hasAlpha=!1,\\\"opacity\\\"in t&&(this.opacity=+t.opacity,this.opacity<1&&(this.hasAlpha=!0));var e=t.color||[[0,0,0],[0,0,0],[0,0,0]],r=t.position,n=t.error;if(Array.isArray(e[0])||(e=[e,e,e]),r&&n){var i=[],a=r.length,o=0;this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.lineCount=[0,0,0];for(var s=0;s<3;++s){this.lineOffset[s]=o;t:for(var l=0;l<a;++l){for(var u=r[l],h=0;h<3;++h)if(isNaN(u[h])||!isFinite(u[h]))continue t;var p=n[l],d=e[s];if(Array.isArray(d[0])&&(d=e[l]),3===d.length?d=[d[0],d[1],d[2],1]:4===d.length&&(d=[d[0],d[1],d[2],d[3]],!this.hasAlpha&&d[3]<1&&(this.hasAlpha=!0)),!isNaN(p[0][s])&&!isNaN(p[1][s])){var m;if(p[0][s]<0)(m=u.slice())[s]+=p[0][s],i.push(u[0],u[1],u[2],d[0],d[1],d[2],d[3],0,0,0,m[0],m[1],m[2],d[0],d[1],d[2],d[3],0,0,0),c(this.bounds,m),o+=2+f(i,m,d,s);if(p[1][s]>0)(m=u.slice())[s]+=p[1][s],i.push(u[0],u[1],u[2],d[0],d[1],d[2],d[3],0,0,0,m[0],m[1],m[2],d[0],d[1],d[2],d[3],0,0,0),c(this.bounds,m),o+=2+f(i,m,d,s)}}this.lineCount[s]=o-this.lineOffset[s]}this.buffer.update(i)}},l.dispose=function(){this.shader.dispose(),this.buffer.dispose(),this.vao.dispose()}},{\\\"./shaders/index\\\":267,\\\"gl-buffer\\\":259,\\\"gl-vao\\\":353}],266:[function(t,e,r){arguments[4][257][0].apply(r,arguments)},{dup:257}],267:[function(t,e,r){\\\"use strict\\\";var n=t(\\\"glslify\\\"),i=t(\\\"gl-shader\\\"),a=n([\\\"precision highp float;\\\\n#define GLSLIFY 1\\\\n\\\\nattribute vec3 position, offset;\\\\nattribute vec4 color;\\\\nuniform mat4 model, view, projection;\\\\nuniform float capSize;\\\\nvarying vec4 fragColor;\\\\nvarying vec3 fragPosition;\\\\n\\\\nvoid main() {\\\\n  vec4 worldPosition  = model * vec4(position, 1.0);\\\\n  worldPosition       = (worldPosition / worldPosition.w) + vec4(capSize * offset, 0.0);\\\\n  gl_Position         = projection * view * worldPosition;\\\\n  fragColor           = color;\\\\n  fragPosition        = position;\\\\n}\\\"]),o=n([\\\"precision highp float;\\\\n#define GLSLIFY 1\\\\n\\\\nbool outOfRange(float a, float b, float p) {\\\\n  return ((p > max(a, b)) || \\\\n          (p < min(a, b)));\\\\n}\\\\n\\\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\\\n  return (outOfRange(a.x, b.x, p.x) ||\\\\n          outOfRange(a.y, b.y, p.y));\\\\n}\\\\n\\\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\\\n  return (outOfRange(a.x, b.x, p.x) ||\\\\n          outOfRange(a.y, b.y, p.y) ||\\\\n          outOfRange(a.z, b.z, p.z));\\\\n}\\\\n\\\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\\\n}\\\\n\\\\nuniform vec3 clipBounds[2];\\\\nuniform float opacity;\\\\nvarying vec3 fragPosition;\\\\nvarying vec4 fragColor;\\\\n\\\\nvoid main() {\\\\n  if (\\\\n    outOfRange(clipBounds[0], clipBounds[1], fragPosition) ||\\\\n    fragColor.a * opacity == 0.\\\\n  ) discard;\\\\n\\\\n  gl_FragColor = opacity * fragColor;\\\\n}\\\"]);e.exports=function(t){return i(t,a,o,null,[{name:\\\"position\\\",type:\\\"vec3\\\"},{name:\\\"color\\\",type:\\\"vec4\\\"},{name:\\\"offset\\\",type:\\\"vec3\\\"}])}},{\\\"gl-shader\\\":331,glslify:266}],268:[function(t,e,r){\\\"use strict\\\";var n=t(\\\"gl-texture2d\\\");e.exports=function(t,e,r,n){i||(i=t.FRAMEBUFFER_UNSUPPORTED,a=t.FRAMEBUFFER_INCOMPLETE_ATTACHMENT,o=t.FRAMEBUFFER_INCOMPLETE_DIMENSIONS,s=t.FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT);var c=t.getExtension(\\\"WEBGL_draw_buffers\\\");!l&&c&&function(t,e){var r=t.getParameter(e.MAX_COLOR_ATTACHMENTS_WEBGL);l=new Array(r+1);for(var n=0;n<=r;++n){for(var i=new Array(r),a=0;a<n;++a)i[a]=t.COLOR_ATTACHMENT0+a;for(a=n;a<r;++a)i[a]=t.NONE;l[n]=i}}(t,c);Array.isArray(e)&&(n=r,r=0|e[1],e=0|e[0]);if(\\\"number\\\"!=typeof e)throw new Error(\\\"gl-fbo: Missing shape parameter\\\");var u=t.getParameter(t.MAX_RENDERBUFFER_SIZE);if(e<0||e>u||r<0||r>u)throw new Error(\\\"gl-fbo: Parameters are too large for FBO\\\");var f=1;if(\\\"color\\\"in(n=n||{})){if((f=Math.max(0|n.color,0))<0)throw new Error(\\\"gl-fbo: Must specify a nonnegative number of colors\\\");if(f>1){if(!c)throw new Error(\\\"gl-fbo: Multiple draw buffer extension not supported\\\");if(f>t.getParameter(c.MAX_COLOR_ATTACHMENTS_WEBGL))throw new Error(\\\"gl-fbo: Context does not support \\\"+f+\\\" draw buffers\\\")}}var h=t.UNSIGNED_BYTE,p=t.getExtension(\\\"OES_texture_float\\\");if(n.float&&f>0){if(!p)throw new Error(\\\"gl-fbo: Context does not support floating point textures\\\");h=t.FLOAT}else n.preferFloat&&f>0&&p&&(h=t.FLOAT);var m=!0;\\\"depth\\\"in n&&(m=!!n.depth);var g=!1;\\\"stencil\\\"in n&&(g=!!n.stencil);return new d(t,e,r,h,f,m,g,c)};var i,a,o,s,l=null;function c(t){return[t.getParameter(t.FRAMEBUFFER_BINDING),t.getParameter(t.RENDERBUFFER_BINDING),t.getParameter(t.TEXTURE_BINDING_2D)]}function u(t,e){t.bindFramebuffer(t.FRAMEBUFFER,e[0]),t.bindRenderbuffer(t.RENDERBUFFER,e[1]),t.bindTexture(t.TEXTURE_2D,e[2])}function f(t){switch(t){case i:throw new Error(\\\"gl-fbo: Framebuffer unsupported\\\");case a:throw new Error(\\\"gl-fbo: Framebuffer incomplete attachment\\\");case o:throw new Error(\\\"gl-fbo: Framebuffer incomplete dimensions\\\");case s:throw new Error(\\\"gl-fbo: Framebuffer incomplete missing attachment\\\");default:throw new Error(\\\"gl-fbo: Framebuffer failed for unspecified reason\\\")}}function h(t,e,r,i,a,o){if(!i)return null;var s=n(t,e,r,a,i);return s.magFilter=t.NEAREST,s.minFilter=t.NEAREST,s.mipSamples=1,s.bind(),t.framebufferTexture2D(t.FRAMEBUFFER,o,t.TEXTURE_2D,s.handle,0),s}function p(t,e,r,n,i){var a=t.createRenderbuffer();return t.bindRenderbuffer(t.RENDERBUFFER,a),t.renderbufferStorage(t.RENDERBUFFER,n,e,r),t.framebufferRenderbuffer(t.FRAMEBUFFER,i,t.RENDERBUFFER,a),a}function d(t,e,r,n,i,a,o,s){this.gl=t,this._shape=[0|e,0|r],this._destroyed=!1,this._ext=s,this.color=new Array(i);for(var d=0;d<i;++d)this.color[d]=null;this._color_rb=null,this.depth=null,this._depth_rb=null,this._colorType=n,this._useDepth=a,this._useStencil=o;var m=this,g=[0|e,0|r];Object.defineProperties(g,{0:{get:function(){return m._shape[0]},set:function(t){return m.width=t}},1:{get:function(){return m._shape[1]},set:function(t){return m.height=t}}}),this._shapeVector=g,function(t){var e=c(t.gl),r=t.gl,n=t.handle=r.createFramebuffer(),i=t._shape[0],a=t._shape[1],o=t.color.length,s=t._ext,d=t._useStencil,m=t._useDepth,g=t._colorType;r.bindFramebuffer(r.FRAMEBUFFER,n);for(var v=0;v<o;++v)t.color[v]=h(r,i,a,g,r.RGBA,r.COLOR_ATTACHMENT0+v);0===o?(t._color_rb=p(r,i,a,r.RGBA4,r.COLOR_ATTACHMENT0),s&&s.drawBuffersWEBGL(l[0])):o>1&&s.drawBuffersWEBGL(l[o]);var y=r.getExtension(\\\"WEBGL_depth_texture\\\");y?d?t.depth=h(r,i,a,y.UNSIGNED_INT_24_8_WEBGL,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):m&&(t.depth=h(r,i,a,r.UNSIGNED_SHORT,r.DEPTH_COMPONENT,r.DEPTH_ATTACHMENT)):m&&d?t._depth_rb=p(r,i,a,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):m?t._depth_rb=p(r,i,a,r.DEPTH_COMPONENT16,r.DEPTH_ATTACHMENT):d&&(t._depth_rb=p(r,i,a,r.STENCIL_INDEX,r.STENCIL_ATTACHMENT));var x=r.checkFramebufferStatus(r.FRAMEBUFFER);if(x!==r.FRAMEBUFFER_COMPLETE){t._destroyed=!0,r.bindFramebuffer(r.FRAMEBUFFER,null),r.deleteFramebuffer(t.handle),t.handle=null,t.depth&&(t.depth.dispose(),t.depth=null),t._depth_rb&&(r.deleteRenderbuffer(t._depth_rb),t._depth_rb=null);for(v=0;v<t.color.length;++v)t.color[v].dispose(),t.color[v]=null;t._color_rb&&(r.deleteRenderbuffer(t._color_rb),t._color_rb=null),u(r,e),f(x)}u(r,e)}(this)}var m=d.prototype;function g(t,e,r){if(t._destroyed)throw new Error(\\\"gl-fbo: Can't resize destroyed FBO\\\");if(t._shape[0]!==e||t._shape[1]!==r){var n=t.gl,i=n.getParameter(n.MAX_RENDERBUFFER_SIZE);if(e<0||e>i||r<0||r>i)throw new Error(\\\"gl-fbo: Can't resize FBO, invalid dimensions\\\");t._shape[0]=e,t._shape[1]=r;for(var a=c(n),o=0;o<t.color.length;++o)t.color[o].shape=t._shape;t._color_rb&&(n.bindRenderbuffer(n.RENDERBUFFER,t._color_rb),n.renderbufferStorage(n.RENDERBUFFER,n.RGBA4,t._shape[0],t._shape[1])),t.depth&&(t.depth.shape=t._shape),t._depth_rb&&(n.bindRenderbuffer(n.RENDERBUFFER,t._depth_rb),t._useDepth&&t._useStencil?n.renderbufferStorage(n.RENDERBUFFER,n.DEPTH_STENCIL,t._shape[0],t._shape[1]):t._useDepth?n.renderbufferStorage(n.RENDERBUFFER,n.DEPTH_COMPONENT16,t._shape[0],t._shape[1]):t._useStencil&&n.renderbufferStorage(n.RENDERBUFFER,n.STENCIL_INDEX,t._shape[0],t._shape[1])),n.bindFramebuffer(n.FRAMEBUFFER,t.handle);var s=n.checkFramebufferStatus(n.FRAMEBUFFER);s!==n.FRAMEBUFFER_COMPLETE&&(t.dispose(),u(n,a),f(s)),u(n,a)}}Object.defineProperties(m,{shape:{get:function(){return this._destroyed?[0,0]:this._shapeVector},set:function(t){if(Array.isArray(t)||(t=[0|t,0|t]),2!==t.length)throw new Error(\\\"gl-fbo: Shape vector must be length 2\\\");var e=0|t[0],r=0|t[1];return g(this,e,r),[e,r]},enumerable:!1},width:{get:function(){return this._destroyed?0:this._shape[0]},set:function(t){return g(this,t|=0,this._shape[1]),t},enumerable:!1},height:{get:function(){return this._destroyed?0:this._shape[1]},set:function(t){return t|=0,g(this,this._shape[0],t),t},enumerable:!1}}),m.bind=function(){if(!this._destroyed){var t=this.gl;t.bindFramebuffer(t.FRAMEBUFFER,this.handle),t.viewport(0,0,this._shape[0],this._shape[1])}},m.dispose=function(){if(!this._destroyed){this._destroyed=!0;var t=this.gl;t.deleteFramebuffer(this.handle),this.handle=null,this.depth&&(this.depth.dispose(),this.depth=null),this._depth_rb&&(t.deleteRenderbuffer(this._depth_rb),this._depth_rb=null);for(var e=0;e<this.color.length;++e)this.color[e].dispose(),this.color[e]=null;this._color_rb&&(t.deleteRenderbuffer(this._color_rb),this._color_rb=null)}}},{\\\"gl-texture2d\\\":348}],269:[function(t,e,r){var n=t(\\\"sprintf-js\\\").sprintf,i=t(\\\"gl-constants/lookup\\\"),a=t(\\\"glsl-shader-name\\\"),o=t(\\\"add-line-numbers\\\");e.exports=function(t,e,r){\\\"use strict\\\";var s=a(e)||\\\"of unknown name (see npm glsl-shader-name)\\\",l=\\\"unknown type\\\";void 0!==r&&(l=r===i.FRAGMENT_SHADER?\\\"fragment\\\":\\\"vertex\\\");for(var c=n(\\\"Error compiling %s shader %s:\\\\n\\\",l,s),u=n(\\\"%s%s\\\",c,t),f=t.split(\\\"\\\\n\\\"),h={},p=0;p<f.length;p++){var d=f[p];if(\\\"\\\"!==d&&\\\"\\\\0\\\"!==d){var m=parseInt(d.split(\\\":\\\")[2]);if(isNaN(m))throw new Error(n(\\\"Could not parse error: %s\\\",d));h[m]=d}}var g=o(e).split(\\\"\\\\n\\\");for(p=0;p<g.length;p++)if(h[p+3]||h[p+2]||h[p+1]){var v=g[p];if(c+=v+\\\"\\\\n\\\",h[p+1]){var y=h[p+1];y=y.substr(y.split(\\\":\\\",3).join(\\\":\\\").length+1).trim(),c+=n(\\\"^^^ %s\\\\n\\\\n\\\",y)}}return{long:c.trim(),short:u.trim()}}},{\\\"add-line-numbers\\\":68,\\\"gl-constants/lookup\\\":264,\\\"glsl-shader-name\\\":426,\\\"sprintf-js\\\":560}],270:[function(t,e,r){\\\"use strict\\\";e.exports=function(t,e){var r=t.gl,n=o(r,l.vertex,l.fragment),i=o(r,l.pickVertex,l.pickFragment),a=s(r),u=s(r),f=s(r),h=s(r),p=new c(t,n,i,a,u,f,h);return p.update(e),t.addObject(p),p};var n=t(\\\"binary-search-bounds\\\"),i=t(\\\"iota-array\\\"),a=t(\\\"typedarray-pool\\\"),o=t(\\\"gl-shader\\\"),s=t(\\\"gl-buffer\\\"),l=t(\\\"./lib/shaders\\\");function c(t,e,r,n,i,a,o){this.plot=t,this.shader=e,this.pickShader=r,this.positionBuffer=n,this.weightBuffer=i,this.colorBuffer=a,this.idBuffer=o,this.xData=[],this.yData=[],this.shape=[0,0],this.bounds=[1/0,1/0,-1/0,-1/0],this.pickOffset=0}var u,f=c.prototype,h=[0,0,1,0,0,1,1,0,1,1,0,1];f.draw=(u=[1,0,0,0,1,0,0,0,1],function(){var t=this.plot,e=this.shader,r=this.bounds,n=this.numVertices;if(!(n<=0)){var i=t.gl,a=t.dataBox,o=r[2]-r[0],s=r[3]-r[1],l=a[2]-a[0],c=a[3]-a[1];u[0]=2*o/l,u[4]=2*s/c,u[6]=2*(r[0]-a[0])/l-1,u[7]=2*(r[1]-a[1])/c-1,e.bind();var f=e.uniforms;f.viewTransform=u,f.shape=this.shape;var h=e.attributes;this.positionBuffer.bind(),h.position.pointer(),this.weightBuffer.bind(),h.weight.pointer(i.UNSIGNED_BYTE,!1),this.colorBuffer.bind(),h.color.pointer(i.UNSIGNED_BYTE,!0),i.drawArrays(i.TRIANGLES,0,n)}}),f.drawPick=function(){var t=[1,0,0,0,1,0,0,0,1],e=[0,0,0,0];return function(r){var n=this.plot,i=this.pickShader,a=this.bounds,o=this.numVertices;if(!(o<=0)){var s=n.gl,l=n.dataBox,c=a[2]-a[0],u=a[3]-a[1],f=l[2]-l[0],h=l[3]-l[1];t[0]=2*c/f,t[4]=2*u/h,t[6]=2*(a[0]-l[0])/f-1,t[7]=2*(a[1]-l[1])/h-1;for(var p=0;p<4;++p)e[p]=r>>8*p&255;this.pickOffset=r,i.bind();var d=i.uniforms;d.viewTransform=t,d.pickOffset=e,d.shape=this.shape;var m=i.attributes;return this.positionBuffer.bind(),m.position.pointer(),this.weightBuffer.bind(),m.weight.pointer(s.UNSIGNED_BYTE,!1),this.idBuffer.bind(),m.pickId.pointer(s.UNSIGNED_BYTE,!1),s.drawArrays(s.TRIANGLES,0,o),r+this.shape[0]*this.shape[1]}}}(),f.pick=function(t,e,r){var n=this.pickOffset,i=this.shape[0]*this.shape[1];if(r<n||r>=n+i)return null;var a=r-n,o=this.xData,s=this.yData;return{object:this,pointId:a,dataCoord:[o[a%this.shape[0]],s[a/this.shape[0]|0]]}},f.update=function(t){var e=(t=t||{}).shape||[0,0],r=t.x||i(e[0]),o=t.y||i(e[1]),s=t.z||new Float32Array(e[0]*e[1]),l=!1!==t.zsmooth;this.xData=r,this.yData=o;var c,u,f,p,d=t.colorLevels||[0],m=t.colorValues||[0,0,0,1],g=d.length,v=this.bounds;l?(c=v[0]=r[0],u=v[1]=o[0],f=v[2]=r[r.length-1],p=v[3]=o[o.length-1]):(c=v[0]=r[0]+(r[1]-r[0])/2,u=v[1]=o[0]+(o[1]-o[0])/2,f=v[2]=r[r.length-1]+(r[r.length-1]-r[r.length-2])/2,p=v[3]=o[o.length-1]+(o[o.length-1]-o[o.length-2])/2);var y=1/(f-c),x=1/(p-u),b=e[0],_=e[1];this.shape=[b,_];var w=(l?(b-1)*(_-1):b*_)*(h.length>>>1);this.numVertices=w;for(var T=a.mallocUint8(4*w),k=a.mallocFloat32(2*w),M=a.mallocUint8(2*w),A=a.mallocUint32(w),S=0,E=l?b-1:b,L=l?_-1:_,C=0;C<L;++C){var P,I;l?(P=x*(o[C]-u),I=x*(o[C+1]-u)):(P=C<_-1?x*(o[C]-(o[C+1]-o[C])/2-u):x*(o[C]-(o[C]-o[C-1])/2-u),I=C<_-1?x*(o[C]+(o[C+1]-o[C])/2-u):x*(o[C]+(o[C]-o[C-1])/2-u));for(var O=0;O<E;++O){var z,D;l?(z=y*(r[O]-c),D=y*(r[O+1]-c)):(z=O<b-1?y*(r[O]-(r[O+1]-r[O])/2-c):y*(r[O]-(r[O]-r[O-1])/2-c),D=O<b-1?y*(r[O]+(r[O+1]-r[O])/2-c):y*(r[O]+(r[O]-r[O-1])/2-c));for(var R=0;R<h.length;R+=2){var F,B,N,j,U=h[R],V=h[R+1],q=s[l?(C+V)*b+(O+U):C*b+O],H=n.le(d,q);if(H<0)F=m[0],B=m[1],N=m[2],j=m[3];else if(H===g-1)F=m[4*g-4],B=m[4*g-3],N=m[4*g-2],j=m[4*g-1];else{var G=(q-d[H])/(d[H+1]-d[H]),Y=1-G,W=4*H,X=4*(H+1);F=Y*m[W]+G*m[X],B=Y*m[W+1]+G*m[X+1],N=Y*m[W+2]+G*m[X+2],j=Y*m[W+3]+G*m[X+3]}T[4*S]=255*F,T[4*S+1]=255*B,T[4*S+2]=255*N,T[4*S+3]=255*j,k[2*S]=.5*z+.5*D,k[2*S+1]=.5*P+.5*I,M[2*S]=U,M[2*S+1]=V,A[S]=C*b+O,S+=1}}}this.positionBuffer.update(k),this.weightBuffer.update(M),this.colorBuffer.update(T),this.idBuffer.update(A),a.free(k),a.free(T),a.free(M),a.free(A)},f.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.positionBuffer.dispose(),this.weightBuffer.dispose(),this.colorBuffer.dispose(),this.idBuffer.dispose(),this.plot.removeObject(this)}},{\\\"./lib/shaders\\\":271,\\\"binary-search-bounds\\\":99,\\\"gl-buffer\\\":259,\\\"gl-shader\\\":331,\\\"iota-array\\\":443,\\\"typedarray-pool\\\":609}],271:[function(t,e,r){\\\"use strict\\\";var n=t(\\\"glslify\\\");e.exports={fragment:n([\\\"precision lowp float;\\\\n#define GLSLIFY 1\\\\nvarying vec4 fragColor;\\\\nvoid main() {\\\\n  gl_FragColor = vec4(fragColor.rgb * fragColor.a, fragColor.a);\\\\n}\\\\n\\\"]),vertex:n([\\\"precision mediump float;\\\\n#define GLSLIFY 1\\\\n\\\\nattribute vec2 position;\\\\nattribute vec4 color;\\\\nattribute vec2 weight;\\\\n\\\\nuniform vec2 shape;\\\\nuniform mat3 viewTransform;\\\\n\\\\nvarying vec4 fragColor;\\\\n\\\\nvoid main() {\\\\n  vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\\\\n  fragColor = color;\\\\n  gl_Position = vec4(vPosition.xy, 0, vPosition.z);\\\\n}\\\\n\\\"]),pickFragment:n([\\\"precision mediump float;\\\\n#define GLSLIFY 1\\\\n\\\\nvarying vec4 fragId;\\\\nvarying vec2 vWeight;\\\\n\\\\nuniform vec2 shape;\\\\nuniform vec4 pickOffset;\\\\n\\\\nvoid main() {\\\\n  vec2 d = step(.5, vWeight);\\\\n  vec4 id = fragId + pickOffset;\\\\n  id.x += d.x + d.y*shape.x;\\\\n\\\\n  id.y += floor(id.x / 256.0);\\\\n  id.x -= floor(id.x / 256.0) * 256.0;\\\\n\\\\n  id.z += floor(id.y / 256.0);\\\\n  id.y -= floor(id.y / 256.0) * 256.0;\\\\n\\\\n  id.w += floor(id.z / 256.0);\\\\n  id.z -= floor(id.z / 256.0) * 256.0;\\\\n\\\\n  gl_FragColor = id/255.;\\\\n}\\\\n\\\"]),pickVertex:n([\\\"precision mediump float;\\\\n#define GLSLIFY 1\\\\n\\\\nattribute vec2 position;\\\\nattribute vec4 pickId;\\\\nattribute vec2 weight;\\\\n\\\\nuniform vec2 shape;\\\\nuniform mat3 viewTransform;\\\\n\\\\nvarying vec4 fragId;\\\\nvarying vec2 vWeight;\\\\n\\\\nvoid main() {\\\\n  vWeight = weight;\\\\n\\\\n  fragId = pickId;\\\\n\\\\n  vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\\\\n  gl_Position = vec4(vPosition.xy, 0, vPosition.z);\\\\n}\\\\n\\\"])}},{glslify:434}],272:[function(t,e,r){var n=t(\\\"glslify\\\"),i=t(\\\"gl-shader\\\"),a=n([\\\"precision highp float;\\\\n#define GLSLIFY 1\\\\n\\\\nattribute vec3 position, nextPosition;\\\\nattribute float arcLength, lineWidth;\\\\nattribute vec4 color;\\\\n\\\\nuniform vec2 screenShape;\\\\nuniform float pixelRatio;\\\\nuniform mat4 model, view, projection;\\\\n\\\\nvarying vec4 fragColor;\\\\nvarying vec3 worldPosition;\\\\nvarying float pixelArcLength;\\\\n\\\\nvec4 project(vec3 p) {\\\\n  return projection * view * model * vec4(p, 1.0);\\\\n}\\\\n\\\\nvoid main() {\\\\n  vec4 startPoint = project(position);\\\\n  vec4 endPoint   = project(nextPosition);\\\\n\\\\n  vec2 A = startPoint.xy / startPoint.w;\\\\n  vec2 B =   endPoint.xy /   endPoint.w;\\\\n\\\\n  float clipAngle = atan(\\\\n    (B.y - A.y) * screenShape.y,\\\\n    (B.x - A.x) * screenShape.x\\\\n  );\\\\n\\\\n  vec2 offset = 0.5 * pixelRatio * lineWidth * vec2(\\\\n    sin(clipAngle),\\\\n    -cos(clipAngle)\\\\n  ) / screenShape;\\\\n\\\\n  gl_Position = vec4(startPoint.xy + startPoint.w * offset, startPoint.zw);\\\\n\\\\n  worldPosition = position;\\\\n  pixelArcLength = arcLength;\\\\n  fragColor = color;\\\\n}\\\\n\\\"]),o=n([\\\"precision highp float;\\\\n#define GLSLIFY 1\\\\n\\\\nbool outOfRange(float a, float b, float p) {\\\\n  return ((p > max(a, b)) || \\\\n          (p < min(a, b)));\\\\n}\\\\n\\\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\\\n  return (outOfRange(a.x, b.x, p.x) ||\\\\n          outOfRange(a.y, b.y, p.y));\\\\n}\\\\n\\\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\\\n  return (outOfRange(a.x, b.x, p.x) ||\\\\n          outOfRange(a.y, b.y, p.y) ||\\\\n          outOfRange(a.z, b.z, p.z));\\\\n}\\\\n\\\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\\\n}\\\\n\\\\nuniform vec3      clipBounds[2];\\\\nuniform sampler2D dashTexture;\\\\nuniform float     dashScale;\\\\nuniform float     opacity;\\\\n\\\\nvarying vec3    worldPosition;\\\\nvarying float   pixelArcLength;\\\\nvarying vec4    fragColor;\\\\n\\\\nvoid main() {\\\\n  if (\\\\n    outOfRange(clipBounds[0], clipBounds[1], worldPosition) ||\\\\n    fragColor.a * opacity == 0.\\\\n  ) discard;\\\\n\\\\n  float dashWeight = texture2D(dashTexture, vec2(dashScale * pixelArcLength, 0)).r;\\\\n  if(dashWeight < 0.5) {\\\\n    discard;\\\\n  }\\\\n  gl_FragColor = fragColor * opacity;\\\\n}\\\\n\\\"]),s=n([\\\"precision highp float;\\\\n#define GLSLIFY 1\\\\n\\\\n#define FLOAT_MAX  1.70141184e38\\\\n#define FLOAT_MIN  1.17549435e-38\\\\n\\\\n// https://github.com/mikolalysenko/glsl-read-float/blob/master/index.glsl\\\\nvec4 packFloat(float v) {\\\\n  float av = abs(v);\\\\n\\\\n  //Handle special cases\\\\n  if(av < FLOAT_MIN) {\\\\n    return vec4(0.0, 0.0, 0.0, 0.0);\\\\n  } else if(v > FLOAT_MAX) {\\\\n    return vec4(127.0, 128.0, 0.0, 0.0) / 255.0;\\\\n  } else if(v < -FLOAT_MAX) {\\\\n    return vec4(255.0, 128.0, 0.0, 0.0) / 255.0;\\\\n  }\\\\n\\\\n  vec4 c = vec4(0,0,0,0);\\\\n\\\\n  //Compute exponent and mantissa\\\\n  float e = floor(log2(av));\\\\n  float m = av * pow(2.0, -e) - 1.0;\\\\n\\\\n  //Unpack mantissa\\\\n  c[1] = floor(128.0 * m);\\\\n  m -= c[1] / 128.0;\\\\n  c[2] = floor(32768.0 * m);\\\\n  m -= c[2] / 32768.0;\\\\n  c[3] = floor(8388608.0 * m);\\\\n\\\\n  //Unpack exponent\\\\n  float ebias = e + 127.0;\\\\n  c[0] = floor(ebias / 2.0);\\\\n  ebias -= c[0] * 2.0;\\\\n  c[1] += floor(ebias) * 128.0;\\\\n\\\\n  //Unpack sign bit\\\\n  c[0] += 128.0 * step(0.0, -v);\\\\n\\\\n  //Scale back to range\\\\n  return c / 255.0;\\\\n}\\\\n\\\\nbool outOfRange(float a, float b, float p) {\\\\n  return ((p > max(a, b)) || \\\\n          (p < min(a, b)));\\\\n}\\\\n\\\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\\\n  return (outOfRange(a.x, b.x, p.x) ||\\\\n          outOfRange(a.y, b.y, p.y));\\\\n}\\\\n\\\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\\\n  return (outOfRange(a.x, b.x, p.x) ||\\\\n          outOfRange(a.y, b.y, p.y) ||\\\\n          outOfRange(a.z, b.z, p.z));\\\\n}\\\\n\\\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\\\n}\\\\n\\\\nuniform float pickId;\\\\nuniform vec3 clipBounds[2];\\\\n\\\\nvarying vec3 worldPosition;\\\\nvarying float pixelArcLength;\\\\nvarying vec4 fragColor;\\\\n\\\\nvoid main() {\\\\n  if (outOfRange(clipBounds[0], clipBounds[1], worldPosition)) discard;\\\\n\\\\n  gl_FragColor = vec4(pickId/255.0, packFloat(pixelArcLength).xyz);\\\\n}\\\"]),l=[{name:\\\"position\\\",type:\\\"vec3\\\"},{name:\\\"nextPosition\\\",type:\\\"vec3\\\"},{name:\\\"arcLength\\\",type:\\\"float\\\"},{name:\\\"lineWidth\\\",type:\\\"float\\\"},{name:\\\"color\\\",type:\\\"vec4\\\"}];r.createShader=function(t){return i(t,a,o,null,l)},r.createPickShader=function(t){return i(t,a,s,null,l)}},{\\\"gl-shader\\\":331,glslify:274}],273:[function(t,e,r){\\\"use strict\\\";e.exports=function(t){var e=t.gl||t.scene&&t.scene.gl,r=f(e);r.attributes.position.location=0,r.attributes.nextPosition.location=1,r.attributes.arcLength.location=2,r.attributes.lineWidth.location=3,r.attributes.color.location=4;var o=h(e);o.attributes.position.location=0,o.attributes.nextPosition.location=1,o.attributes.arcLength.location=2,o.attributes.lineWidth.location=3,o.attributes.color.location=4;for(var s=n(e),l=i(e,[{buffer:s,size:3,offset:0,stride:48},{buffer:s,size:3,offset:12,stride:48},{buffer:s,size:1,offset:24,stride:48},{buffer:s,size:1,offset:28,stride:48},{buffer:s,size:4,offset:32,stride:48}]),u=c(new Array(1024),[256,1,4]),p=0;p<1024;++p)u.data[p]=255;var d=a(e,u);d.wrap=e.REPEAT;var m=new v(e,r,o,s,l,d);return m.update(t),m};var n=t(\\\"gl-buffer\\\"),i=t(\\\"gl-vao\\\"),a=t(\\\"gl-texture2d\\\"),o=new Uint8Array(4),s=new Float32Array(o.buffer);var l=t(\\\"binary-search-bounds\\\"),c=t(\\\"ndarray\\\"),u=t(\\\"./lib/shaders\\\"),f=u.createShader,h=u.createPickShader,p=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function d(t,e){for(var r=0,n=0;n<3;++n){var i=t[n]-e[n];r+=i*i}return Math.sqrt(r)}function m(t){for(var e=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],r=0;r<3;++r)e[0][r]=Math.max(t[0][r],e[0][r]),e[1][r]=Math.min(t[1][r],e[1][r]);return e}function g(t,e,r,n){this.arcLength=t,this.position=e,this.index=r,this.dataCoordinate=n}function v(t,e,r,n,i,a){this.gl=t,this.shader=e,this.pickShader=r,this.buffer=n,this.vao=i,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.points=[],this.arcLength=[],this.vertexCount=0,this.bounds=[[0,0,0],[0,0,0]],this.pickId=0,this.lineWidth=1,this.texture=a,this.dashScale=1,this.opacity=1,this.hasAlpha=!1,this.dirty=!0,this.pixelRatio=1}var y=v.prototype;y.isTransparent=function(){return this.hasAlpha},y.isOpaque=function(){return!this.hasAlpha},y.pickSlots=1,y.setPickBase=function(t){this.pickId=t},y.drawTransparent=y.draw=function(t){if(this.vertexCount){var e=this.gl,r=this.shader,n=this.vao;r.bind(),r.uniforms={model:t.model||p,view:t.view||p,projection:t.projection||p,clipBounds:m(this.clipBounds),dashTexture:this.texture.bind(),dashScale:this.dashScale/this.arcLength[this.arcLength.length-1],opacity:this.opacity,screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount),n.unbind()}},y.drawPick=function(t){if(this.vertexCount){var e=this.gl,r=this.pickShader,n=this.vao;r.bind(),r.uniforms={model:t.model||p,view:t.view||p,projection:t.projection||p,pickId:this.pickId,clipBounds:m(this.clipBounds),screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount),n.unbind()}},y.update=function(t){var e,r;this.dirty=!0;var n=!!t.connectGaps;\\\"dashScale\\\"in t&&(this.dashScale=t.dashScale),this.hasAlpha=!1,\\\"opacity\\\"in t&&(this.opacity=+t.opacity,this.opacity<1&&(this.hasAlpha=!0));var i=[],a=[],o=[],s=0,u=0,f=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],h=t.position||t.positions;if(h){var p=t.color||t.colors||[0,0,0,1],m=t.lineWidth||1,g=!1;t:for(e=1;e<h.length;++e){var v,y,x,b=h[e-1],_=h[e];for(a.push(s),o.push(b.slice()),r=0;r<3;++r){if(isNaN(b[r])||isNaN(_[r])||!isFinite(b[r])||!isFinite(_[r])){if(!n&&i.length>0){for(var w=0;w<24;++w)i.push(i[i.length-12]);u+=2,g=!0}continue t}f[0][r]=Math.min(f[0][r],b[r],_[r]),f[1][r]=Math.max(f[1][r],b[r],_[r])}Array.isArray(p[0])?(v=p.length>e-1?p[e-1]:p.length>0?p[p.length-1]:[0,0,0,1],y=p.length>e?p[e]:p.length>0?p[p.length-1]:[0,0,0,1]):v=y=p,3===v.length&&(v=[v[0],v[1],v[2],1]),3===y.length&&(y=[y[0],y[1],y[2],1]),!this.hasAlpha&&v[3]<1&&(this.hasAlpha=!0),x=Array.isArray(m)?m.length>e-1?m[e-1]:m.length>0?m[m.length-1]:[0,0,0,1]:m;var T=s;if(s+=d(b,_),g){for(r=0;r<2;++r)i.push(b[0],b[1],b[2],_[0],_[1],_[2],T,x,v[0],v[1],v[2],v[3]);u+=2,g=!1}i.push(b[0],b[1],b[2],_[0],_[1],_[2],T,x,v[0],v[1],v[2],v[3],b[0],b[1],b[2],_[0],_[1],_[2],T,-x,v[0],v[1],v[2],v[3],_[0],_[1],_[2],b[0],b[1],b[2],s,-x,y[0],y[1],y[2],y[3],_[0],_[1],_[2],b[0],b[1],b[2],s,x,y[0],y[1],y[2],y[3]),u+=4}}if(this.buffer.update(i),a.push(s),o.push(h[h.length-1].slice()),this.bounds=f,this.vertexCount=u,this.points=o,this.arcLength=a,\\\"dashes\\\"in t){var k=t.dashes.slice();for(k.unshift(0),e=1;e<k.length;++e)k[e]=k[e-1]+k[e];var M=c(new Array(1024),[256,1,4]);for(e=0;e<256;++e){for(r=0;r<4;++r)M.set(e,0,r,0);1&l.le(k,k[k.length-1]*e/255)?M.set(e,0,0,0):M.set(e,0,0,255)}this.texture.setPixels(M)}},y.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()},y.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=function(t,e,r,n){return o[0]=n,o[1]=r,o[2]=e,o[3]=t,s[0]}(t.value[0],t.value[1],t.value[2],0),r=l.le(this.arcLength,e);if(r<0)return null;if(r===this.arcLength.length-1)return new g(this.arcLength[this.arcLength.length-1],this.points[this.points.length-1].slice(),r);for(var n=this.points[r],i=this.points[Math.min(r+1,this.points.length-1)],a=(e-this.arcLength[r])/(this.arcLength[r+1]-this.arcLength[r]),c=1-a,u=[0,0,0],f=0;f<3;++f)u[f]=c*n[f]+a*i[f];var h=Math.min(a<.5?r:r+1,this.points.length-1);return new g(e,u,h,this.points[h])}},{\\\"./lib/shaders\\\":272,\\\"binary-search-bounds\\\":99,\\\"gl-buffer\\\":259,\\\"gl-texture2d\\\":348,\\\"gl-vao\\\":353,ndarray:475}],274:[function(t,e,r){arguments[4][257][0].apply(r,arguments)},{dup:257}],275:[function(t,e,r){e.exports=function(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=e[4],s=e[5],l=e[6],c=e[7],u=e[8],f=e[9],h=e[10],p=e[11],d=e[12],m=e[13],g=e[14],v=e[15];return t[0]=s*(h*v-p*g)-f*(l*v-c*g)+m*(l*p-c*h),t[1]=-(n*(h*v-p*g)-f*(i*v-a*g)+m*(i*p-a*h)),t[2]=n*(l*v-c*g)-s*(i*v-a*g)+m*(i*c-a*l),t[3]=-(n*(l*p-c*h)-s*(i*p-a*h)+f*(i*c-a*l)),t[4]=-(o*(h*v-p*g)-u*(l*v-c*g)+d*(l*p-c*h)),t[5]=r*(h*v-p*g)-u*(i*v-a*g)+d*(i*p-a*h),t[6]=-(r*(l*v-c*g)-o*(i*v-a*g)+d*(i*c-a*l)),t[7]=r*(l*p-c*h)-o*(i*p-a*h)+u*(i*c-a*l),t[8]=o*(f*v-p*m)-u*(s*v-c*m)+d*(s*p-c*f),t[9]=-(r*(f*v-p*m)-u*(n*v-a*m)+d*(n*p-a*f)),t[10]=r*(s*v-c*m)-o*(n*v-a*m)+d*(n*c-a*s),t[11]=-(r*(s*p-c*f)-o*(n*p-a*f)+u*(n*c-a*s)),t[12]=-(o*(f*g-h*m)-u*(s*g-l*m)+d*(s*h-l*f)),t[13]=r*(f*g-h*m)-u*(n*g-i*m)+d*(n*h-i*f),t[14]=-(r*(s*g-l*m)-o*(n*g-i*m)+d*(n*l-i*s)),t[15]=r*(s*h-l*f)-o*(n*h-i*f)+u*(n*l-i*s),t}},{}],276:[function(t,e,r){e.exports=function(t){var e=new Float32Array(16);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],e[4]=t[4],e[5]=t[5],e[6]=t[6],e[7]=t[7],e[8]=t[8],e[9]=t[9],e[10]=t[10],e[11]=t[11],e[12]=t[12],e[13]=t[13],e[14]=t[14],e[15]=t[15],e}},{}],277:[function(t,e,r){e.exports=function(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=e[3],t[4]=e[4],t[5]=e[5],t[6]=e[6],t[7]=e[7],t[8]=e[8],t[9]=e[9],t[10]=e[10],t[11]=e[11],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15],t}},{}],278:[function(t,e,r){e.exports=function(){var t=new Float32Array(16);return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},{}],279:[function(t,e,r){e.exports=function(t){var e=t[0],r=t[1],n=t[2],i=t[3],a=t[4],o=t[5],s=t[6],l=t[7],c=t[8],u=t[9],f=t[10],h=t[11],p=t[12],d=t[13],m=t[14],g=t[15];return(e*o-r*a)*(f*g-h*m)-(e*s-n*a)*(u*g-h*d)+(e*l-i*a)*(u*m-f*d)+(r*s-n*o)*(c*g-h*p)-(r*l-i*o)*(c*m-f*p)+(n*l-i*s)*(c*d-u*p)}},{}],280:[function(t,e,r){e.exports=function(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=r+r,s=n+n,l=i+i,c=r*o,u=n*o,f=n*s,h=i*o,p=i*s,d=i*l,m=a*o,g=a*s,v=a*l;return t[0]=1-f-d,t[1]=u+v,t[2]=h-g,t[3]=0,t[4]=u-v,t[5]=1-c-d,t[6]=p+m,t[7]=0,t[8]=h+g,t[9]=p-m,t[10]=1-c-f,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},{}],281:[function(t,e,r){e.exports=function(t,e,r){var n,i,a,o=r[0],s=r[1],l=r[2],c=Math.sqrt(o*o+s*s+l*l);if(Math.abs(c)<1e-6)return null;return o*=c=1/c,s*=c,l*=c,n=Math.sin(e),i=Math.cos(e),a=1-i,t[0]=o*o*a+i,t[1]=s*o*a+l*n,t[2]=l*o*a-s*n,t[3]=0,t[4]=o*s*a-l*n,t[5]=s*s*a+i,t[6]=l*s*a+o*n,t[7]=0,t[8]=o*l*a+s*n,t[9]=s*l*a-o*n,t[10]=l*l*a+i,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},{}],282:[function(t,e,r){e.exports=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3],s=n+n,l=i+i,c=a+a,u=n*s,f=n*l,h=n*c,p=i*l,d=i*c,m=a*c,g=o*s,v=o*l,y=o*c;return t[0]=1-(p+m),t[1]=f+y,t[2]=h-v,t[3]=0,t[4]=f-y,t[5]=1-(u+m),t[6]=d+g,t[7]=0,t[8]=h+v,t[9]=d-g,t[10]=1-(u+p),t[11]=0,t[12]=r[0],t[13]=r[1],t[14]=r[2],t[15]=1,t}},{}],283:[function(t,e,r){e.exports=function(t,e){return t[0]=e[0],t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=e[1],t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=e[2],t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},{}],284:[function(t,e,r){e.exports=function(t,e){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=e[0],t[13]=e[1],t[14]=e[2],t[15]=1,t}},{}],285:[function(t,e,r){e.exports=function(t,e){var r=Math.sin(e),n=Math.cos(e);return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=n,t[6]=r,t[7]=0,t[8]=0,t[9]=-r,t[10]=n,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},{}],286:[function(t,e,r){e.exports=function(t,e){var r=Math.sin(e),n=Math.cos(e);return t[0]=n,t[1]=0,t[2]=-r,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=r,t[9]=0,t[10]=n,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},{}],287:[function(t,e,r){e.exports=function(t,e){var r=Math.sin(e),n=Math.cos(e);return t[0]=n,t[1]=r,t[2]=0,t[3]=0,t[4]=-r,t[5]=n,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},{}],288:[function(t,e,r){e.exports=function(t,e,r,n,i,a,o){var s=1/(r-e),l=1/(i-n),c=1/(a-o);return t[0]=2*a*s,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=2*a*l,t[6]=0,t[7]=0,t[8]=(r+e)*s,t[9]=(i+n)*l,t[10]=(o+a)*c,t[11]=-1,t[12]=0,t[13]=0,t[14]=o*a*2*c,t[15]=0,t}},{}],289:[function(t,e,r){e.exports=function(t){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},{}],290:[function(t,e,r){e.exports={create:t(\\\"./create\\\"),clone:t(\\\"./clone\\\"),copy:t(\\\"./copy\\\"),identity:t(\\\"./identity\\\"),transpose:t(\\\"./transpose\\\"),invert:t(\\\"./invert\\\"),adjoint:t(\\\"./adjoint\\\"),determinant:t(\\\"./determinant\\\"),multiply:t(\\\"./multiply\\\"),translate:t(\\\"./translate\\\"),scale:t(\\\"./scale\\\"),rotate:t(\\\"./rotate\\\"),rotateX:t(\\\"./rotateX\\\"),rotateY:t(\\\"./rotateY\\\"),rotateZ:t(\\\"./rotateZ\\\"),fromRotation:t(\\\"./fromRotation\\\"),fromRotationTranslation:t(\\\"./fromRotationTranslation\\\"),fromScaling:t(\\\"./fromScaling\\\"),fromTranslation:t(\\\"./fromTranslation\\\"),fromXRotation:t(\\\"./fromXRotation\\\"),fromYRotation:t(\\\"./fromYRotation\\\"),fromZRotation:t(\\\"./fromZRotation\\\"),fromQuat:t(\\\"./fromQuat\\\"),frustum:t(\\\"./frustum\\\"),perspective:t(\\\"./perspective\\\"),perspectiveFromFieldOfView:t(\\\"./perspectiveFromFieldOfView\\\"),ortho:t(\\\"./ortho\\\"),lookAt:t(\\\"./lookAt\\\"),str:t(\\\"./str\\\")}},{\\\"./adjoint\\\":275,\\\"./clone\\\":276,\\\"./copy\\\":277,\\\"./create\\\":278,\\\"./determinant\\\":279,\\\"./fromQuat\\\":280,\\\"./fromRotation\\\":281,\\\"./fromRotationTranslation\\\":282,\\\"./fromScaling\\\":283,\\\"./fromTranslation\\\":284,\\\"./fromXRotation\\\":285,\\\"./fromYRotation\\\":286,\\\"./fromZRotation\\\":287,\\\"./frustum\\\":288,\\\"./identity\\\":289,\\\"./invert\\\":291,\\\"./lookAt\\\":292,\\\"./multiply\\\":293,\\\"./ortho\\\":294,\\\"./perspective\\\":295,\\\"./perspectiveFromFieldOfView\\\":296,\\\"./rotate\\\":297,\\\"./rotateX\\\":298,\\\"./rotateY\\\":299,\\\"./rotateZ\\\":300,\\\"./scale\\\":301,\\\"./str\\\":302,\\\"./translate\\\":303,\\\"./transpose\\\":304}],291:[function(t,e,r){e.exports=function(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=e[4],s=e[5],l=e[6],c=e[7],u=e[8],f=e[9],h=e[10],p=e[11],d=e[12],m=e[13],g=e[14],v=e[15],y=r*s-n*o,x=r*l-i*o,b=r*c-a*o,_=n*l-i*s,w=n*c-a*s,T=i*c-a*l,k=u*m-f*d,M=u*g-h*d,A=u*v-p*d,S=f*g-h*m,E=f*v-p*m,L=h*v-p*g,C=y*L-x*E+b*S+_*A-w*M+T*k;if(!C)return null;return C=1/C,t[0]=(s*L-l*E+c*S)*C,t[1]=(i*E-n*L-a*S)*C,t[2]=(m*T-g*w+v*_)*C,t[3]=(h*w-f*T-p*_)*C,t[4]=(l*A-o*L-c*M)*C,t[5]=(r*L-i*A+a*M)*C,t[6]=(g*b-d*T-v*x)*C,t[7]=(u*T-h*b+p*x)*C,t[8]=(o*E-s*A+c*k)*C,t[9]=(n*A-r*E-a*k)*C,t[10]=(d*w-m*b+v*y)*C,t[11]=(f*b-u*w-p*y)*C,t[12]=(s*M-o*S-l*k)*C,t[13]=(r*S-n*M+i*k)*C,t[14]=(m*x-d*_-g*y)*C,t[15]=(u*_-f*x+h*y)*C,t}},{}],292:[function(t,e,r){var n=t(\\\"./identity\\\");e.exports=function(t,e,r,i){var a,o,s,l,c,u,f,h,p,d,m=e[0],g=e[1],v=e[2],y=i[0],x=i[1],b=i[2],_=r[0],w=r[1],T=r[2];if(Math.abs(m-_)<1e-6&&Math.abs(g-w)<1e-6&&Math.abs(v-T)<1e-6)return n(t);f=m-_,h=g-w,p=v-T,d=1/Math.sqrt(f*f+h*h+p*p),a=x*(p*=d)-b*(h*=d),o=b*(f*=d)-y*p,s=y*h-x*f,(d=Math.sqrt(a*a+o*o+s*s))?(a*=d=1/d,o*=d,s*=d):(a=0,o=0,s=0);l=h*s-p*o,c=p*a-f*s,u=f*o-h*a,(d=Math.sqrt(l*l+c*c+u*u))?(l*=d=1/d,c*=d,u*=d):(l=0,c=0,u=0);return t[0]=a,t[1]=l,t[2]=f,t[3]=0,t[4]=o,t[5]=c,t[6]=h,t[7]=0,t[8]=s,t[9]=u,t[10]=p,t[11]=0,t[12]=-(a*m+o*g+s*v),t[13]=-(l*m+c*g+u*v),t[14]=-(f*m+h*g+p*v),t[15]=1,t}},{\\\"./identity\\\":289}],293:[function(t,e,r){e.exports=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],c=e[6],u=e[7],f=e[8],h=e[9],p=e[10],d=e[11],m=e[12],g=e[13],v=e[14],y=e[15],x=r[0],b=r[1],_=r[2],w=r[3];return t[0]=x*n+b*s+_*f+w*m,t[1]=x*i+b*l+_*h+w*g,t[2]=x*a+b*c+_*p+w*v,t[3]=x*o+b*u+_*d+w*y,x=r[4],b=r[5],_=r[6],w=r[7],t[4]=x*n+b*s+_*f+w*m,t[5]=x*i+b*l+_*h+w*g,t[6]=x*a+b*c+_*p+w*v,t[7]=x*o+b*u+_*d+w*y,x=r[8],b=r[9],_=r[10],w=r[11],t[8]=x*n+b*s+_*f+w*m,t[9]=x*i+b*l+_*h+w*g,t[10]=x*a+b*c+_*p+w*v,t[11]=x*o+b*u+_*d+w*y,x=r[12],b=r[13],_=r[14],w=r[15],t[12]=x*n+b*s+_*f+w*m,t[13]=x*i+b*l+_*h+w*g,t[14]=x*a+b*c+_*p+w*v,t[15]=x*o+b*u+_*d+w*y,t}},{}],294:[function(t,e,r){e.exports=function(t,e,r,n,i,a,o){var s=1/(e-r),l=1/(n-i),c=1/(a-o);return t[0]=-2*s,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=-2*l,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=2*c,t[11]=0,t[12]=(e+r)*s,t[13]=(i+n)*l,t[14]=(o+a)*c,t[15]=1,t}},{}],295:[function(t,e,r){e.exports=function(t,e,r,n,i){var a=1/Math.tan(e/2),o=1/(n-i);return t[0]=a/r,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=a,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=(i+n)*o,t[11]=-1,t[12]=0,t[13]=0,t[14]=2*i*n*o,t[15]=0,t}},{}],296:[function(t,e,r){e.exports=function(t,e,r,n){var i=Math.tan(e.upDegrees*Math.PI/180),a=Math.tan(e.downDegrees*Math.PI/180),o=Math.tan(e.leftDegrees*Math.PI/180),s=Math.tan(e.rightDegrees*Math.PI/180),l=2/(o+s),c=2/(i+a);return t[0]=l,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=c,t[6]=0,t[7]=0,t[8]=-(o-s)*l*.5,t[9]=(i-a)*c*.5,t[10]=n/(r-n),t[11]=-1,t[12]=0,t[13]=0,t[14]=n*r/(r-n),t[15]=0,t}},{}],297:[function(t,e,r){e.exports=function(t,e,r,n){var i,a,o,s,l,c,u,f,h,p,d,m,g,v,y,x,b,_,w,T,k,M,A,S,E=n[0],L=n[1],C=n[2],P=Math.sqrt(E*E+L*L+C*C);if(Math.abs(P)<1e-6)return null;E*=P=1/P,L*=P,C*=P,i=Math.sin(r),a=Math.cos(r),o=1-a,s=e[0],l=e[1],c=e[2],u=e[3],f=e[4],h=e[5],p=e[6],d=e[7],m=e[8],g=e[9],v=e[10],y=e[11],x=E*E*o+a,b=L*E*o+C*i,_=C*E*o-L*i,w=E*L*o-C*i,T=L*L*o+a,k=C*L*o+E*i,M=E*C*o+L*i,A=L*C*o-E*i,S=C*C*o+a,t[0]=s*x+f*b+m*_,t[1]=l*x+h*b+g*_,t[2]=c*x+p*b+v*_,t[3]=u*x+d*b+y*_,t[4]=s*w+f*T+m*k,t[5]=l*w+h*T+g*k,t[6]=c*w+p*T+v*k,t[7]=u*w+d*T+y*k,t[8]=s*M+f*A+m*S,t[9]=l*M+h*A+g*S,t[10]=c*M+p*A+v*S,t[11]=u*M+d*A+y*S,e!==t&&(t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t}},{}],298:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[4],o=e[5],s=e[6],l=e[7],c=e[8],u=e[9],f=e[10],h=e[11];e!==t&&(t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=e[3],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[4]=a*i+c*n,t[5]=o*i+u*n,t[6]=s*i+f*n,t[7]=l*i+h*n,t[8]=c*i-a*n,t[9]=u*i-o*n,t[10]=f*i-s*n,t[11]=h*i-l*n,t}},{}],299:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],c=e[8],u=e[9],f=e[10],h=e[11];e!==t&&(t[4]=e[4],t[5]=e[5],t[6]=e[6],t[7]=e[7],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[0]=a*i-c*n,t[1]=o*i-u*n,t[2]=s*i-f*n,t[3]=l*i-h*n,t[8]=a*n+c*i,t[9]=o*n+u*i,t[10]=s*n+f*i,t[11]=l*n+h*i,t}},{}],300:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],c=e[4],u=e[5],f=e[6],h=e[7];e!==t&&(t[8]=e[8],t[9]=e[9],t[10]=e[10],t[11]=e[11],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[0]=a*i+c*n,t[1]=o*i+u*n,t[2]=s*i+f*n,t[3]=l*i+h*n,t[4]=c*i-a*n,t[5]=u*i-o*n,t[6]=f*i-s*n,t[7]=h*i-l*n,t}},{}],301:[function(t,e,r){e.exports=function(t,e,r){var n=r[0],i=r[1],a=r[2];return t[0]=e[0]*n,t[1]=e[1]*n,t[2]=e[2]*n,t[3]=e[3]*n,t[4]=e[4]*i,t[5]=e[5]*i,t[6]=e[6]*i,t[7]=e[7]*i,t[8]=e[8]*a,t[9]=e[9]*a,t[10]=e[10]*a,t[11]=e[11]*a,t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15],t}},{}],302:[function(t,e,r){e.exports=function(t){return\\\"mat4(\\\"+t[0]+\\\", \\\"+t[1]+\\\", \\\"+t[2]+\\\", \\\"+t[3]+\\\", \\\"+t[4]+\\\", \\\"+t[5]+\\\", \\\"+t[6]+\\\", \\\"+t[7]+\\\", \\\"+t[8]+\\\", \\\"+t[9]+\\\", \\\"+t[10]+\\\", \\\"+t[11]+\\\", \\\"+t[12]+\\\", \\\"+t[13]+\\\", \\\"+t[14]+\\\", \\\"+t[15]+\\\")\\\"}},{}],303:[function(t,e,r){e.exports=function(t,e,r){var n,i,a,o,s,l,c,u,f,h,p,d,m=r[0],g=r[1],v=r[2];e===t?(t[12]=e[0]*m+e[4]*g+e[8]*v+e[12],t[13]=e[1]*m+e[5]*g+e[9]*v+e[13],t[14]=e[2]*m+e[6]*g+e[10]*v+e[14],t[15]=e[3]*m+e[7]*g+e[11]*v+e[15]):(n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],c=e[6],u=e[7],f=e[8],h=e[9],p=e[10],d=e[11],t[0]=n,t[1]=i,t[2]=a,t[3]=o,t[4]=s,t[5]=l,t[6]=c,t[7]=u,t[8]=f,t[9]=h,t[10]=p,t[11]=d,t[12]=n*m+s*g+f*v+e[12],t[13]=i*m+l*g+h*v+e[13],t[14]=a*m+c*g+p*v+e[14],t[15]=o*m+u*g+d*v+e[15]);return t}},{}],304:[function(t,e,r){e.exports=function(t,e){if(t===e){var r=e[1],n=e[2],i=e[3],a=e[6],o=e[7],s=e[11];t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=r,t[6]=e[9],t[7]=e[13],t[8]=n,t[9]=a,t[11]=e[14],t[12]=i,t[13]=o,t[14]=s}else t[0]=e[0],t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=e[1],t[5]=e[5],t[6]=e[9],t[7]=e[13],t[8]=e[2],t[9]=e[6],t[10]=e[10],t[11]=e[14],t[12]=e[3],t[13]=e[7],t[14]=e[11],t[15]=e[15];return t}},{}],305:[function(t,e,r){\\\"use strict\\\";var n=t(\\\"barycentric\\\"),i=t(\\\"polytope-closest-point/lib/closest_point_2d.js\\\");function a(t,e){for(var r=[0,0,0,0],n=0;n<4;++n)for(var i=0;i<4;++i)r[i]+=t[4*n+i]*e[n];return r}function o(t,e,r,n,i){for(var o=a(n,a(r,a(e,[t[0],t[1],t[2],1]))),s=0;s<3;++s)o[s]/=o[3];return[.5*i[0]*(1+o[0]),.5*i[1]*(1-o[1])]}function s(t,e){for(var r=[0,0,0],n=0;n<t.length;++n)for(var i=t[n],a=e[n],o=0;o<3;++o)r[o]+=a*i[o];return r}e.exports=function(t,e,r,a,l,c){if(1===t.length)return[0,t[0].slice()];for(var u=new Array(t.length),f=0;f<t.length;++f)u[f]=o(t[f],r,a,l,c);var h=0,p=1/0;for(f=0;f<u.length;++f){for(var d=0,m=0;m<2;++m)d+=Math.pow(u[f][m]-e[m],2);d<p&&(p=d,h=f)}var g=function(t,e){if(2===t.length){for(var r=0,a=0,o=0;o<2;++o)r+=Math.pow(e[o]-t[0][o],2),a+=Math.pow(e[o]-t[1][o],2);return r=Math.sqrt(r),a=Math.sqrt(a),r+a<1e-6?[1,0]:[a/(r+a),r/(a+r)]}if(3===t.length){var s=[0,0];return i(t[0],t[1],t[2],e,s),n(t,s)}return[]}(u,e),v=0;for(f=0;f<3;++f){if(g[f]<-.001||g[f]>1.0001)return null;v+=g[f]}if(Math.abs(v-1)>.001)return null;return[h,s(t,g),g]}},{barycentric:81,\\\"polytope-closest-point/lib/closest_point_2d.js\\\":504}],306:[function(t,e,r){var n=t(\\\"glslify\\\"),i=n([\\\"precision highp float;\\\\n#define GLSLIFY 1\\\\n\\\\nattribute vec3 position, normal;\\\\nattribute vec4 color;\\\\nattribute vec2 uv;\\\\n\\\\nuniform mat4 model\\\\n           , view\\\\n           , projection\\\\n           , inverseModel;\\\\nuniform vec3 eyePosition\\\\n           , lightPosition;\\\\n\\\\nvarying vec3 f_normal\\\\n           , f_lightDirection\\\\n           , f_eyeDirection\\\\n           , f_data;\\\\nvarying vec4 f_color;\\\\nvarying vec2 f_uv;\\\\n\\\\nvec4 project(vec3 p) {\\\\n  return projection * view * model * vec4(p, 1.0);\\\\n}\\\\n\\\\nvoid main() {\\\\n  gl_Position      = project(position);\\\\n\\\\n  //Lighting geometry parameters\\\\n  vec4 cameraCoordinate = view * vec4(position , 1.0);\\\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\\\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\\\\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\\\\n  f_normal  = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\\\n\\\\n  f_color          = color;\\\\n  f_data           = position;\\\\n  f_uv             = uv;\\\\n}\\\\n\\\"]),a=n([\\\"#extension GL_OES_standard_derivatives : enable\\\\n\\\\nprecision highp float;\\\\n#define GLSLIFY 1\\\\n\\\\nfloat beckmannDistribution(float x, float roughness) {\\\\n  float NdotH = max(x, 0.0001);\\\\n  float cos2Alpha = NdotH * NdotH;\\\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\\\n  float roughness2 = roughness * roughness;\\\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\\\n  return exp(tan2Alpha / roughness2) / denom;\\\\n}\\\\n\\\\nfloat cookTorranceSpecular(\\\\n  vec3 lightDirection,\\\\n  vec3 viewDirection,\\\\n  vec3 surfaceNormal,\\\\n  float roughness,\\\\n  float fresnel) {\\\\n\\\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\\\n\\\\n  //Half angle vector\\\\n  vec3 H = normalize(lightDirection + viewDirection);\\\\n\\\\n  //Geometric term\\\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\\\n  float G = min(1.0, min(G1, G2));\\\\n  \\\\n  //Distribution term\\\\n  float D = beckmannDistribution(NdotH, roughness);\\\\n\\\\n  //Fresnel term\\\\n  float F = pow(1.0 - VdotN, fresnel);\\\\n\\\\n  //Multiply terms and done\\\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\\\n}\\\\n\\\\n//#pragma glslify: beckmann = require(glsl-specular-beckmann) // used in gl-surface3d\\\\n\\\\nbool outOfRange(float a, float b, float p) {\\\\n  return ((p > max(a, b)) || \\\\n          (p < min(a, b)));\\\\n}\\\\n\\\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\\\n  return (outOfRange(a.x, b.x, p.x) ||\\\\n          outOfRange(a.y, b.y, p.y));\\\\n}\\\\n\\\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\\\n  return (outOfRange(a.x, b.x, p.x) ||\\\\n          outOfRange(a.y, b.y, p.y) ||\\\\n          outOfRange(a.z, b.z, p.z));\\\\n}\\\\n\\\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\\\n}\\\\n\\\\nuniform vec3 clipBounds[2];\\\\nuniform float roughness\\\\n            , fresnel\\\\n            , kambient\\\\n            , kdiffuse\\\\n            , kspecular;\\\\nuniform sampler2D texture;\\\\n\\\\nvarying vec3 f_normal\\\\n           , f_lightDirection\\\\n           , f_eyeDirection\\\\n           , f_data;\\\\nvarying vec4 f_color;\\\\nvarying vec2 f_uv;\\\\n\\\\nvoid main() {\\\\n  if (f_color.a == 0.0 ||\\\\n    outOfRange(clipBounds[0], clipBounds[1], f_data)\\\\n  ) discard;\\\\n\\\\n  vec3 N = normalize(f_normal);\\\\n  vec3 L = normalize(f_lightDirection);\\\\n  vec3 V = normalize(f_eyeDirection);\\\\n\\\\n  if(gl_FrontFacing) {\\\\n    N = -N;\\\\n  }\\\\n\\\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\\\n  //float specular = max(0.0, beckmann(L, V, N, roughness)); // used in gl-surface3d\\\\n\\\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\\\n\\\\n  vec4 surfaceColor = vec4(f_color.rgb, 1.0) * texture2D(texture, f_uv);\\\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\\\n\\\\n  gl_FragColor = litColor * f_color.a;\\\\n}\\\\n\\\"]),o=n([\\\"precision highp float;\\\\n#define GLSLIFY 1\\\\n\\\\nattribute vec3 position;\\\\nattribute vec4 color;\\\\nattribute vec2 uv;\\\\n\\\\nuniform mat4 model, view, projection;\\\\n\\\\nvarying vec4 f_color;\\\\nvarying vec3 f_data;\\\\nvarying vec2 f_uv;\\\\n\\\\nvoid main() {\\\\n  gl_Position = projection * view * model * vec4(position, 1.0);\\\\n  f_color = color;\\\\n  f_data  = position;\\\\n  f_uv    = uv;\\\\n}\\\"]),s=n([\\\"precision highp float;\\\\n#define GLSLIFY 1\\\\n\\\\nbool outOfRange(float a, float b, float p) {\\\\n  return ((p > max(a, b)) || \\\\n          (p < min(a, b)));\\\\n}\\\\n\\\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\\\n  return (outOfRange(a.x, b.x, p.x) ||\\\\n          outOfRange(a.y, b.y, p.y));\\\\n}\\\\n\\\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\\\n  return (outOfRange(a.x, b.x, p.x) ||\\\\n          outOfRange(a.y, b.y, p.y) ||\\\\n          outOfRange(a.z, b.z, p.z));\\\\n}\\\\n\\\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\\\n}\\\\n\\\\nuniform vec3 clipBounds[2];\\\\nuniform sampler2D texture;\\\\nuniform float opacity;\\\\n\\\\nvarying vec4 f_color;\\\\nvarying vec3 f_data;\\\\nvarying vec2 f_uv;\\\\n\\\\nvoid main() {\\\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_data)) discard;\\\\n\\\\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\\\\n}\\\"]),l=n([\\\"precision highp float;\\\\n#define GLSLIFY 1\\\\n\\\\nbool outOfRange(float a, float b, float p) {\\\\n  return ((p > max(a, b)) || \\\\n          (p < min(a, b)));\\\\n}\\\\n\\\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\\\n  return (outOfRange(a.x, b.x, p.x) ||\\\\n          outOfRange(a.y, b.y, p.y));\\\\n}\\\\n\\\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\\\n  return (outOfRange(a.x, b.x, p.x) ||\\\\n          outOfRange(a.y, b.y, p.y) ||\\\\n          outOfRange(a.z, b.z, p.z));\\\\n}\\\\n\\\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\\\n}\\\\n\\\\nattribute vec3 position;\\\\nattribute vec4 color;\\\\nattribute vec2 uv;\\\\nattribute float pointSize;\\\\n\\\\nuniform mat4 model, view, projection;\\\\nuniform vec3 clipBounds[2];\\\\n\\\\nvarying vec4 f_color;\\\\nvarying vec2 f_uv;\\\\n\\\\nvoid main() {\\\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\\\n\\\\n    gl_Position = vec4(0.0, 0.0 ,0.0 ,0.0);\\\\n  } else {\\\\n    gl_Position = projection * view * model * vec4(position, 1.0);\\\\n  }\\\\n  gl_PointSize = pointSize;\\\\n  f_color = color;\\\\n  f_uv = uv;\\\\n}\\\"]),c=n([\\\"precision highp float;\\\\n#define GLSLIFY 1\\\\n\\\\nuniform sampler2D texture;\\\\nuniform float opacity;\\\\n\\\\nvarying vec4 f_color;\\\\nvarying vec2 f_uv;\\\\n\\\\nvoid main() {\\\\n  vec2 pointR = gl_PointCoord.xy - vec2(0.5, 0.5);\\\\n  if(dot(pointR, pointR) > 0.25) {\\\\n    discard;\\\\n  }\\\\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\\\\n}\\\"]),u=n([\\\"precision highp float;\\\\n#define GLSLIFY 1\\\\n\\\\nattribute vec3 position;\\\\nattribute vec4 id;\\\\n\\\\nuniform mat4 model, view, projection;\\\\n\\\\nvarying vec3 f_position;\\\\nvarying vec4 f_id;\\\\n\\\\nvoid main() {\\\\n  gl_Position = projection * view * model * vec4(position, 1.0);\\\\n  f_id        = id;\\\\n  f_position  = position;\\\\n}\\\"]),f=n([\\\"precision highp float;\\\\n#define GLSLIFY 1\\\\n\\\\nbool outOfRange(float a, float b, float p) {\\\\n  return ((p > max(a, b)) || \\\\n          (p < min(a, b)));\\\\n}\\\\n\\\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\\\n  return (outOfRange(a.x, b.x, p.x) ||\\\\n          outOfRange(a.y, b.y, p.y));\\\\n}\\\\n\\\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\\\n  return (outOfRange(a.x, b.x, p.x) ||\\\\n          outOfRange(a.y, b.y, p.y) ||\\\\n          outOfRange(a.z, b.z, p.z));\\\\n}\\\\n\\\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\\\n}\\\\n\\\\nuniform vec3  clipBounds[2];\\\\nuniform float pickId;\\\\n\\\\nvarying vec3 f_position;\\\\nvarying vec4 f_id;\\\\n\\\\nvoid main() {\\\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\\\n\\\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\\\n}\\\"]),h=n([\\\"precision highp float;\\\\n#define GLSLIFY 1\\\\n\\\\nbool outOfRange(float a, float b, float p) {\\\\n  return ((p > max(a, b)) || \\\\n          (p < min(a, b)));\\\\n}\\\\n\\\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\\\n  return (outOfRange(a.x, b.x, p.x) ||\\\\n          outOfRange(a.y, b.y, p.y));\\\\n}\\\\n\\\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\\\n  return (outOfRange(a.x, b.x, p.x) ||\\\\n          outOfRange(a.y, b.y, p.y) ||\\\\n          outOfRange(a.z, b.z, p.z));\\\\n}\\\\n\\\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\\\n}\\\\n\\\\nattribute vec3  position;\\\\nattribute float pointSize;\\\\nattribute vec4  id;\\\\n\\\\nuniform mat4 model, view, projection;\\\\nuniform vec3 clipBounds[2];\\\\n\\\\nvarying vec3 f_position;\\\\nvarying vec4 f_id;\\\\n\\\\nvoid main() {\\\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\\\n\\\\n    gl_Position = vec4(0.0, 0.0, 0.0, 0.0);\\\\n  } else {\\\\n    gl_Position  = projection * view * model * vec4(position, 1.0);\\\\n    gl_PointSize = pointSize;\\\\n  }\\\\n  f_id         = id;\\\\n  f_position   = position;\\\\n}\\\"]),p=n([\\\"precision highp float;\\\\n#define GLSLIFY 1\\\\n\\\\nattribute vec3 position;\\\\n\\\\nuniform mat4 model, view, projection;\\\\n\\\\nvoid main() {\\\\n  gl_Position = projection * view * model * vec4(position, 1.0);\\\\n}\\\"]),d=n([\\\"precision highp float;\\\\n#define GLSLIFY 1\\\\n\\\\nuniform vec3 contourColor;\\\\n\\\\nvoid main() {\\\\n  gl_FragColor = vec4(contourColor, 1.0);\\\\n}\\\\n\\\"]);r.meshShader={vertex:i,fragment:a,attributes:[{name:\\\"position\\\",type:\\\"vec3\\\"},{name:\\\"normal\\\",type:\\\"vec3\\\"},{name:\\\"color\\\",type:\\\"vec4\\\"},{name:\\\"uv\\\",type:\\\"vec2\\\"}]},r.wireShader={vertex:o,fragment:s,attributes:[{name:\\\"position\\\",type:\\\"vec3\\\"},{name:\\\"color\\\",type:\\\"vec4\\\"},{name:\\\"uv\\\",type:\\\"vec2\\\"}]},r.pointShader={vertex:l,fragment:c,attributes:[{name:\\\"position\\\",type:\\\"vec3\\\"},{name:\\\"color\\\",type:\\\"vec4\\\"},{name:\\\"uv\\\",type:\\\"vec2\\\"},{name:\\\"pointSize\\\",type:\\\"float\\\"}]},r.pickShader={vertex:u,fragment:f,attributes:[{name:\\\"position\\\",type:\\\"vec3\\\"},{name:\\\"id\\\",type:\\\"vec4\\\"}]},r.pointPickShader={vertex:h,fragment:f,attributes:[{name:\\\"position\\\",type:\\\"vec3\\\"},{name:\\\"pointSize\\\",type:\\\"float\\\"},{name:\\\"id\\\",type:\\\"vec4\\\"}]},r.contourShader={vertex:p,fragment:d,attributes:[{name:\\\"position\\\",type:\\\"vec3\\\"}]}},{glslify:434}],307:[function(t,e,r){\\\"use strict\\\";var n=t(\\\"gl-shader\\\"),i=t(\\\"gl-buffer\\\"),a=t(\\\"gl-vao\\\"),o=t(\\\"gl-texture2d\\\"),s=t(\\\"normals\\\"),l=t(\\\"gl-mat4/multiply\\\"),c=t(\\\"gl-mat4/invert\\\"),u=t(\\\"ndarray\\\"),f=t(\\\"colormap\\\"),h=t(\\\"simplicial-complex-contour\\\"),p=t(\\\"typedarray-pool\\\"),d=t(\\\"./lib/shaders\\\"),m=t(\\\"./lib/closest-point\\\"),g=d.meshShader,v=d.wireShader,y=d.pointShader,x=d.pickShader,b=d.pointPickShader,_=d.contourShader,w=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function T(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,m,g,v,y,x,b,_,T,k,M,A,S){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.lineShader=n,this.pointShader=i,this.pickShader=a,this.pointPickShader=o,this.contourShader=s,this.trianglePositions=l,this.triangleColors=u,this.triangleNormals=h,this.triangleUVs=f,this.triangleIds=c,this.triangleVAO=p,this.triangleCount=0,this.lineWidth=1,this.edgePositions=d,this.edgeColors=g,this.edgeUVs=v,this.edgeIds=m,this.edgeVAO=y,this.edgeCount=0,this.pointPositions=x,this.pointColors=_,this.pointUVs=T,this.pointSizes=k,this.pointIds=b,this.pointVAO=M,this.pointCount=0,this.contourLineWidth=1,this.contourPositions=A,this.contourVAO=S,this.contourCount=0,this.contourColor=[0,0,0],this.contourEnable=!0,this.pickVertex=!0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.hasAlpha=!1,this.opacityscale=!1,this._model=w,this._view=w,this._projection=w,this._resolution=[1,1]}var k=T.prototype;function M(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;r<e.length;++r){if(e.length<2)return 1;if(e[r][0]===t)return e[r][1];if(e[r][0]>t&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}function A(t){var e=n(t,g.vertex,g.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.normal.location=4,e}function S(t){var e=n(t,v.vertex,v.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e}function E(t){var e=n(t,y.vertex,y.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.pointSize.location=4,e}function L(t){var e=n(t,x.vertex,x.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e}function C(t){var e=n(t,b.vertex,b.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e.attributes.pointSize.location=4,e}function P(t){var e=n(t,_.vertex,_.fragment);return e.attributes.position.location=0,e}k.isOpaque=function(){return!this.hasAlpha},k.isTransparent=function(){return this.hasAlpha},k.pickSlots=1,k.setPickBase=function(t){this.pickId=t},k.highlight=function(t){if(t&&this.contourEnable){for(var e=h(this.cells,this.intensity,t.intensity),r=e.cells,n=e.vertexIds,i=e.vertexWeights,a=r.length,o=p.mallocFloat32(6*a),s=0,l=0;l<a;++l)for(var c=r[l],u=0;u<2;++u){var f=c[0];2===c.length&&(f=c[u]);for(var d=n[f][0],m=n[f][1],g=i[f],v=1-g,y=this.positions[d],x=this.positions[m],b=0;b<3;++b)o[s++]=g*y[b]+v*x[b]}this.contourCount=s/3|0,this.contourPositions.update(o.subarray(0,s)),p.free(o)}else this.contourCount=0},k.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,\\\"contourEnable\\\"in t&&(this.contourEnable=t.contourEnable),\\\"contourColor\\\"in t&&(this.contourColor=t.contourColor),\\\"lineWidth\\\"in t&&(this.lineWidth=t.lineWidth),\\\"lightPosition\\\"in t&&(this.lightPosition=t.lightPosition),this.hasAlpha=!1,\\\"opacity\\\"in t&&(this.opacity=t.opacity,this.opacity<1&&(this.hasAlpha=!0)),\\\"opacityscale\\\"in t&&(this.opacityscale=t.opacityscale,this.hasAlpha=!0),\\\"ambient\\\"in t&&(this.ambientLight=t.ambient),\\\"diffuse\\\"in t&&(this.diffuseLight=t.diffuse),\\\"specular\\\"in t&&(this.specularLight=t.specular),\\\"roughness\\\"in t&&(this.roughness=t.roughness),\\\"fresnel\\\"in t&&(this.fresnel=t.fresnel),t.texture?(this.texture.dispose(),this.texture=o(e,t.texture)):t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(function(t,e){for(var r=f({colormap:t,nshades:256,format:\\\"rgba\\\"}),n=new Uint8Array(1024),i=0;i<256;++i){for(var a=r[i],o=0;o<3;++o)n[4*i+o]=a[o];n[4*i+3]=e?255*M(i/255,e):255*a[3]}return u(n,[256,256,4],[4,0,1])}(t.colormap,this.opacityscale)),this.texture.generateMipmap());var r=t.cells,n=t.positions;if(n&&r){var i=[],a=[],l=[],c=[],h=[],p=[],d=[],m=[],g=[],v=[],y=[],x=[],b=[],_=[];this.cells=r,this.positions=n;var w=t.vertexNormals,T=t.cellNormals,k=void 0===t.vertexNormalsEpsilon?1e-6:t.vertexNormalsEpsilon,A=void 0===t.faceNormalsEpsilon?1e-6:t.faceNormalsEpsilon;t.useFacetNormals&&!T&&(T=s.faceNormals(r,n,A)),T||w||(w=s.vertexNormals(r,n,k));var S=t.vertexColors,E=t.cellColors,L=t.meshColor||[1,1,1,1],C=t.vertexUVs,P=t.vertexIntensity,I=t.cellUVs,O=t.cellIntensity,z=1/0,D=-1/0;if(!C&&!I)if(P)if(t.vertexIntensityBounds)z=+t.vertexIntensityBounds[0],D=+t.vertexIntensityBounds[1];else for(var R=0;R<P.length;++R){var F=P[R];z=Math.min(z,F),D=Math.max(D,F)}else if(O)if(t.cellIntensityBounds)z=+t.cellIntensityBounds[0],D=+t.cellIntensityBounds[1];else for(R=0;R<O.length;++R){F=O[R];z=Math.min(z,F),D=Math.max(D,F)}else for(R=0;R<n.length;++R){F=n[R][2];z=Math.min(z,F),D=Math.max(D,F)}this.intensity=P||(O||function(t){for(var e=t.length,r=new Array(e),n=0;n<e;++n)r[n]=t[n][2];return r}(n)),this.pickVertex=!(O||E);var B=t.pointSizes,N=t.pointSize||1;this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(R=0;R<n.length;++R)for(var j=n[R],U=0;U<3;++U)!isNaN(j[U])&&isFinite(j[U])&&(this.bounds[0][U]=Math.min(this.bounds[0][U],j[U]),this.bounds[1][U]=Math.max(this.bounds[1][U],j[U]));var V=0,q=0,H=0;t:for(R=0;R<r.length;++R){var G=r[R];switch(G.length){case 1:for(j=n[W=G[0]],U=0;U<3;++U)if(isNaN(j[U])||!isFinite(j[U]))continue t;v.push(j[0],j[1],j[2]),X=S?S[W]:E?E[R]:L,this.opacityscale&&P?a.push(X[0],X[1],X[2],this.opacity*M((P[W]-z)/(D-z),this.opacityscale)):3===X.length?y.push(X[0],X[1],X[2],this.opacity):(y.push(X[0],X[1],X[2],X[3]*this.opacity),X[3]<1&&(this.hasAlpha=!0)),Z=C?C[W]:P?[(P[W]-z)/(D-z),0]:I?I[R]:O?[(O[R]-z)/(D-z),0]:[(j[2]-z)/(D-z),0],x.push(Z[0],Z[1]),B?b.push(B[W]):b.push(N),_.push(R),H+=1;break;case 2:for(U=0;U<2;++U){j=n[W=G[U]];for(var Y=0;Y<3;++Y)if(isNaN(j[Y])||!isFinite(j[Y]))continue t}for(U=0;U<2;++U){j=n[W=G[U]];p.push(j[0],j[1],j[2]),X=S?S[W]:E?E[R]:L,this.opacityscale&&P?a.push(X[0],X[1],X[2],this.opacity*M((P[W]-z)/(D-z),this.opacityscale)):3===X.length?d.push(X[0],X[1],X[2],this.opacity):(d.push(X[0],X[1],X[2],X[3]*this.opacity),X[3]<1&&(this.hasAlpha=!0)),Z=C?C[W]:P?[(P[W]-z)/(D-z),0]:I?I[R]:O?[(O[R]-z)/(D-z),0]:[(j[2]-z)/(D-z),0],m.push(Z[0],Z[1]),g.push(R)}q+=1;break;case 3:for(U=0;U<3;++U)for(j=n[W=G[U]],Y=0;Y<3;++Y)if(isNaN(j[Y])||!isFinite(j[Y]))continue t;for(U=0;U<3;++U){var W,X,Z,J;j=n[W=G[2-U]];i.push(j[0],j[1],j[2]),(X=S?S[W]:E?E[R]:L)?this.opacityscale&&P?a.push(X[0],X[1],X[2],this.opacity*M((P[W]-z)/(D-z),this.opacityscale)):3===X.length?a.push(X[0],X[1],X[2],this.opacity):(a.push(X[0],X[1],X[2],X[3]*this.opacity),X[3]<1&&(this.hasAlpha=!0)):a.push(.5,.5,.5,1),Z=C?C[W]:P?[(P[W]-z)/(D-z),0]:I?I[R]:O?[(O[R]-z)/(D-z),0]:[(j[2]-z)/(D-z),0],c.push(Z[0],Z[1]),J=w?w[W]:T[R],l.push(J[0],J[1],J[2]),h.push(R)}V+=1}}this.pointCount=H,this.edgeCount=q,this.triangleCount=V,this.pointPositions.update(v),this.pointColors.update(y),this.pointUVs.update(x),this.pointSizes.update(b),this.pointIds.update(new Uint32Array(_)),this.edgePositions.update(p),this.edgeColors.update(d),this.edgeUVs.update(m),this.edgeIds.update(new Uint32Array(g)),this.trianglePositions.update(i),this.triangleColors.update(a),this.triangleUVs.update(c),this.triangleNormals.update(l),this.triangleIds.update(new Uint32Array(h))}},k.drawTransparent=k.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,i=t.projection||w,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);var s={model:r,view:n,projection:i,inverseModel:w.slice(),clipBounds:a,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],contourColor:this.contourColor,texture:0};s.inverseModel=c(s.inverseModel,s.model),e.disable(e.CULL_FACE),this.texture.bind(0);var u=new Array(16);l(u,s.view,s.model),l(u,s.projection,u),c(u,u);for(o=0;o<3;++o)s.eyePosition[o]=u[12+o]/u[15];var f,h=u[15];for(o=0;o<3;++o)h+=this.lightPosition[o]*u[4*o+3];for(o=0;o<3;++o){for(var p=u[12+o],d=0;d<3;++d)p+=u[4*d+o]*this.lightPosition[d];s.lightPosition[o]=p/h}this.triangleCount>0&&((f=this.triShader).bind(),f.uniforms=s,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind());this.edgeCount>0&&this.lineWidth>0&&((f=this.lineShader).bind(),f.uniforms=s,this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind());this.pointCount>0&&((f=this.pointShader).bind(),f.uniforms=s,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind());this.contourEnable&&this.contourCount>0&&this.contourLineWidth>0&&((f=this.contourShader).bind(),f.uniforms=s,this.contourVAO.bind(),e.drawArrays(e.LINES,0,this.contourCount),this.contourVAO.unbind())},k.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,i=t.projection||w,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(i),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s,l={model:r,view:n,projection:i,clipBounds:a,pickId:this.pickId/255};((s=this.pickShader).bind(),s.uniforms=l,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()),this.edgeCount>0&&(this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind()),this.pointCount>0)&&((s=this.pointPickShader).bind(),s.uniforms=l,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind())},k.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;for(var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions,i=new Array(r.length),a=0;a<r.length;++a)i[a]=n[r[a]];var o=t.coord[0],s=t.coord[1];if(!this.pickVertex){var l=this.positions[r[0]],c=this.positions[r[1]],u=this.positions[r[2]],f=[(l[0]+c[0]+u[0])/3,(l[1]+c[1]+u[1])/3,(l[2]+c[2]+u[2])/3];return{_cellCenter:!0,position:[o,s],index:e,cell:r,cellId:e,intensity:this.intensity[e],dataCoordinate:f}}var h=m(i,[o*this.pixelRatio,this._resolution[1]-s*this.pixelRatio],this._model,this._view,this._projection,this._resolution);if(!h)return null;var p=h[2],d=0;for(a=0;a<r.length;++a)d+=p[a]*this.intensity[r[a]];return{position:h[1],index:r[h[0]],cell:r,cellId:e,intensity:d,dataCoordinate:this.positions[r[h[0]]]}},k.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.lineShader.dispose(),this.pointShader.dispose(),this.pickShader.dispose(),this.pointPickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleNormals.dispose(),this.triangleIds.dispose(),this.edgeVAO.dispose(),this.edgePositions.dispose(),this.edgeColors.dispose(),this.edgeUVs.dispose(),this.edgeIds.dispose(),this.pointVAO.dispose(),this.pointPositions.dispose(),this.pointColors.dispose(),this.pointUVs.dispose(),this.pointSizes.dispose(),this.pointIds.dispose(),this.contourVAO.dispose(),this.contourPositions.dispose(),this.contourShader.dispose()},e.exports=function(t,e){1===arguments.length&&(t=(e=t).gl);var r=t.getExtension(\\\"OES_standard_derivatives\\\")||t.getExtension(\\\"MOZ_OES_standard_derivatives\\\")||t.getExtension(\\\"WEBKIT_OES_standard_derivatives\\\");if(!r)throw new Error(\\\"derivatives not supported\\\");var n=A(t),s=S(t),l=E(t),c=L(t),f=C(t),h=P(t),p=o(t,u(new Uint8Array([255,255,255,255]),[1,1,4]));p.generateMipmap(),p.minFilter=t.LINEAR_MIPMAP_LINEAR,p.magFilter=t.LINEAR;var d=i(t),m=i(t),g=i(t),v=i(t),y=i(t),x=a(t,[{buffer:d,type:t.FLOAT,size:3},{buffer:y,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:m,type:t.FLOAT,size:4},{buffer:g,type:t.FLOAT,size:2},{buffer:v,type:t.FLOAT,size:3}]),b=i(t),_=i(t),w=i(t),k=i(t),M=a(t,[{buffer:b,type:t.FLOAT,size:3},{buffer:k,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:_,type:t.FLOAT,size:4},{buffer:w,type:t.FLOAT,size:2}]),I=i(t),O=i(t),z=i(t),D=i(t),R=i(t),F=a(t,[{buffer:I,type:t.FLOAT,size:3},{buffer:R,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:O,type:t.FLOAT,size:4},{buffer:z,type:t.FLOAT,size:2},{buffer:D,type:t.FLOAT,size:1}]),B=i(t),N=a(t,[{buffer:B,type:t.FLOAT,size:3}]),j=new T(t,p,n,s,l,c,f,h,d,y,m,g,v,x,b,k,_,w,M,I,R,O,z,D,F,B,N);return j.update(e),j}},{\\\"./lib/closest-point\\\":305,\\\"./lib/shaders\\\":306,colormap:133,\\\"gl-buffer\\\":259,\\\"gl-mat4/invert\\\":291,\\\"gl-mat4/multiply\\\":293,\\\"gl-shader\\\":331,\\\"gl-texture2d\\\":348,\\\"gl-vao\\\":353,ndarray:475,normals:478,\\\"simplicial-complex-contour\\\":549,\\\"typedarray-pool\\\":609}],308:[function(t,e,r){\\\"use strict\\\";e.exports=function(t){var e=t.gl,r=n(e,[0,0,0,1,1,0,1,1]),s=i(e,a.boxVert,a.lineFrag);return new o(t,r,s)};var n=t(\\\"gl-buffer\\\"),i=t(\\\"gl-shader\\\"),a=t(\\\"./shaders\\\");function o(t,e,r){this.plot=t,this.vbo=e,this.shader=r}var s,l,c=o.prototype;c.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},c.drawBox=(s=[0,0],l=[0,0],function(t,e,r,n,i){var a=this.plot,o=this.shader,c=a.gl;s[0]=t,s[1]=e,l[0]=r,l[1]=n,o.uniforms.lo=s,o.uniforms.hi=l,o.uniforms.color=i,c.drawArrays(c.TRIANGLE_STRIP,0,4)}),c.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},{\\\"./shaders\\\":311,\\\"gl-buffer\\\":259,\\\"gl-shader\\\":331}],309:[function(t,e,r){\\\"use strict\\\";e.exports=function(t){var e=t.gl,r=n(e),a=i(e,o.gridVert,o.gridFrag),l=i(e,o.tickVert,o.gridFrag);return new s(t,r,a,l)};var n=t(\\\"gl-buffer\\\"),i=t(\\\"gl-shader\\\"),a=t(\\\"binary-search-bounds\\\"),o=t(\\\"./shaders\\\");function s(t,e,r,n){this.plot=t,this.vbo=e,this.shader=r,this.tickShader=n,this.ticks=[[],[]]}function l(t,e){return t-e}var c,u,f,h,p,d=s.prototype;d.draw=(c=[0,0],u=[0,0],f=[0,0],function(){for(var t=this.plot,e=this.vbo,r=this.shader,n=this.ticks,i=t.gl,a=t._tickBounds,o=t.dataBox,s=t.viewBox,l=t.gridLineWidth,h=t.gridLineColor,p=t.gridLineEnable,d=t.pixelRatio,m=0;m<2;++m){var g=a[m],v=a[m+2]-g,y=.5*(o[m+2]+o[m]),x=o[m+2]-o[m];u[m]=2*v/x,c[m]=2*(g-y)/x}r.bind(),e.bind(),r.attributes.dataCoord.pointer(),r.uniforms.dataShift=c,r.uniforms.dataScale=u;var b=0;for(m=0;m<2;++m){f[0]=f[1]=0,f[m]=1,r.uniforms.dataAxis=f,r.uniforms.lineWidth=l[m]/(s[m+2]-s[m])*d,r.uniforms.color=h[m];var _=6*n[m].length;p[m]&&_&&i.drawArrays(i.TRIANGLES,b,_),b+=_}}),d.drawTickMarks=function(){var t=[0,0],e=[0,0],r=[1,0],n=[0,1],i=[0,0],o=[0,0];return function(){for(var s=this.plot,c=this.vbo,u=this.tickShader,f=this.ticks,h=s.gl,p=s._tickBounds,d=s.dataBox,m=s.viewBox,g=s.pixelRatio,v=s.screenBox,y=v[2]-v[0],x=v[3]-v[1],b=m[2]-m[0],_=m[3]-m[1],w=0;w<2;++w){var T=p[w],k=p[w+2]-T,M=.5*(d[w+2]+d[w]),A=d[w+2]-d[w];e[w]=2*k/A,t[w]=2*(T-M)/A}e[0]*=b/y,t[0]*=b/y,e[1]*=_/x,t[1]*=_/x,u.bind(),c.bind(),u.attributes.dataCoord.pointer();var S=u.uniforms;S.dataShift=t,S.dataScale=e;var E=s.tickMarkLength,L=s.tickMarkWidth,C=s.tickMarkColor,P=6*f[0].length,I=Math.min(a.ge(f[0],(d[0]-p[0])/(p[2]-p[0]),l),f[0].length),O=Math.min(a.gt(f[0],(d[2]-p[0])/(p[2]-p[0]),l),f[0].length),z=0+6*I,D=6*Math.max(0,O-I),R=Math.min(a.ge(f[1],(d[1]-p[1])/(p[3]-p[1]),l),f[1].length),F=Math.min(a.gt(f[1],(d[3]-p[1])/(p[3]-p[1]),l),f[1].length),B=P+6*R,N=6*Math.max(0,F-R);i[0]=2*(m[0]-E[1])/y-1,i[1]=(m[3]+m[1])/x-1,o[0]=E[1]*g/y,o[1]=L[1]*g/x,N&&(S.color=C[1],S.tickScale=o,S.dataAxis=n,S.screenOffset=i,h.drawArrays(h.TRIANGLES,B,N)),i[0]=(m[2]+m[0])/y-1,i[1]=2*(m[1]-E[0])/x-1,o[0]=L[0]*g/y,o[1]=E[0]*g/x,D&&(S.color=C[0],S.tickScale=o,S.dataAxis=r,S.screenOffset=i,h.drawArrays(h.TRIANGLES,z,D)),i[0]=2*(m[2]+E[3])/y-1,i[1]=(m[3]+m[1])/x-1,o[0]=E[3]*g/y,o[1]=L[3]*g/x,N&&(S.color=C[3],S.tickScale=o,S.dataAxis=n,S.screenOffset=i,h.drawArrays(h.TRIANGLES,B,N)),i[0]=(m[2]+m[0])/y-1,i[1]=2*(m[3]+E[2])/x-1,o[0]=L[2]*g/y,o[1]=E[2]*g/x,D&&(S.color=C[2],S.tickScale=o,S.dataAxis=r,S.screenOffset=i,h.drawArrays(h.TRIANGLES,z,D))}}(),d.update=(h=[1,1,-1,-1,1,-1],p=[1,-1,1,1,-1,-1],function(t){for(var e=t.ticks,r=t.bounds,n=new Float32Array(18*(e[0].length+e[1].length)),i=(this.plot.zeroLineEnable,0),a=[[],[]],o=0;o<2;++o)for(var s=a[o],l=e[o],c=r[o],u=r[o+2],f=0;f<l.length;++f){var d=(l[f].x-c)/(u-c);s.push(d);for(var m=0;m<6;++m)n[i++]=d,n[i++]=h[m],n[i++]=p[m]}this.ticks=a,this.vbo.update(n)}),d.dispose=function(){this.vbo.dispose(),this.shader.dispose(),this.tickShader.dispose()}},{\\\"./shaders\\\":311,\\\"binary-search-bounds\\\":99,\\\"gl-buffer\\\":259,\\\"gl-shader\\\":331}],310:[function(t,e,r){\\\"use strict\\\";e.exports=function(t){var e=t.gl,r=n(e,[-1,-1,-1,1,1,-1,1,1]),s=i(e,a.lineVert,a.lineFrag);return new o(t,r,s)};var n=t(\\\"gl-buffer\\\"),i=t(\\\"gl-shader\\\"),a=t(\\\"./shaders\\\");function o(t,e,r){this.plot=t,this.vbo=e,this.shader=r}var s,l,c=o.prototype;c.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},c.drawLine=(s=[0,0],l=[0,0],function(t,e,r,n,i,a){var o=this.plot,c=this.shader,u=o.gl;s[0]=t,s[1]=e,l[0]=r,l[1]=n,c.uniforms.start=s,c.uniforms.end=l,c.uniforms.width=i*o.pixelRatio,c.uniforms.color=a,u.drawArrays(u.TRIANGLE_STRIP,0,4)}),c.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},{\\\"./shaders\\\":311,\\\"gl-buffer\\\":259,\\\"gl-shader\\\":331}],311:[function(t,e,r){\\\"use strict\\\";var n=t(\\\"glslify\\\"),i=n([\\\"precision lowp float;\\\\n#define GLSLIFY 1\\\\nuniform vec4 color;\\\\nvoid main() {\\\\n  gl_FragColor = vec4(color.xyz * color.w, color.w);\\\\n}\\\\n\\\"]);e.exports={lineVert:n([\\\"precision mediump float;\\\\n#define GLSLIFY 1\\\\n\\\\nattribute vec2 coord;\\\\n\\\\nuniform vec4 screenBox;\\\\nuniform vec2 start, end;\\\\nuniform float width;\\\\n\\\\nvec2 perp(vec2 v) {\\\\n  return vec2(v.y, -v.x);\\\\n}\\\\n\\\\nvec2 screen(vec2 v) {\\\\n  return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\\\\n}\\\\n\\\\nvoid main() {\\\\n  vec2 delta = normalize(perp(start - end));\\\\n  vec2 offset = mix(start, end, 0.5 * (coord.y+1.0));\\\\n  gl_Position = vec4(screen(offset + 0.5 * width * delta * coord.x), 0, 1);\\\\n}\\\\n\\\"]),lineFrag:i,textVert:n([\\\"#define GLSLIFY 1\\\\nattribute vec3 textCoordinate;\\\\n\\\\nuniform vec2 dataScale, dataShift, dataAxis, screenOffset, textScale;\\\\nuniform float angle;\\\\n\\\\nvoid main() {\\\\n  float dataOffset  = textCoordinate.z;\\\\n  vec2 glyphOffset  = textCoordinate.xy;\\\\n  mat2 glyphMatrix = mat2(cos(angle), sin(angle), -sin(angle), cos(angle));\\\\n  vec2 screenCoordinate = dataAxis * (dataScale * dataOffset + dataShift) +\\\\n    glyphMatrix * glyphOffset * textScale + screenOffset;\\\\n  gl_Position = vec4(screenCoordinate, 0, 1);\\\\n}\\\\n\\\"]),textFrag:i,gridVert:n([\\\"precision mediump float;\\\\n#define GLSLIFY 1\\\\n\\\\nattribute vec3 dataCoord;\\\\n\\\\nuniform vec2 dataAxis, dataShift, dataScale;\\\\nuniform float lineWidth;\\\\n\\\\nvoid main() {\\\\n  vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\\\\n  pos += 10.0 * dataCoord.y * vec2(dataAxis.y, -dataAxis.x) + dataCoord.z * lineWidth;\\\\n  gl_Position = vec4(pos, 0, 1);\\\\n}\\\\n\\\"]),gridFrag:i,boxVert:n([\\\"precision mediump float;\\\\n#define GLSLIFY 1\\\\n\\\\nattribute vec2 coord;\\\\n\\\\nuniform vec4 screenBox;\\\\nuniform vec2 lo, hi;\\\\n\\\\nvec2 screen(vec2 v) {\\\\n  return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\\\\n}\\\\n\\\\nvoid main() {\\\\n  gl_Position = vec4(screen(mix(lo, hi, coord)), 0, 1);\\\\n}\\\\n\\\"]),tickVert:n([\\\"precision mediump float;\\\\n#define GLSLIFY 1\\\\n\\\\nattribute vec3 dataCoord;\\\\n\\\\nuniform vec2 dataAxis, dataShift, dataScale, screenOffset, tickScale;\\\\n\\\\nvoid main() {\\\\n  vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\\\\n  gl_Position = vec4(pos + tickScale*dataCoord.yz + screenOffset, 0, 1);\\\\n}\\\\n\\\"])}},{glslify:313}],312:[function(t,e,r){\\\"use strict\\\";e.exports=function(t){var e=t.gl,r=n(e),a=i(e,s.textVert,s.textFrag);return new l(t,r,a)};var n=t(\\\"gl-buffer\\\"),i=t(\\\"gl-shader\\\"),a=t(\\\"text-cache\\\"),o=t(\\\"binary-search-bounds\\\"),s=t(\\\"./shaders\\\");function l(t,e,r){this.plot=t,this.vbo=e,this.shader=r,this.tickOffset=[[],[]],this.tickX=[[],[]],this.labelOffset=[0,0],this.labelCount=[0,0]}var c,u,f,h,p,d,m=l.prototype;m.drawTicks=(c=[0,0],u=[0,0],f=[0,0],function(t){var e=this.plot,r=this.shader,n=this.tickX[t],i=this.tickOffset[t],a=e.gl,s=e.viewBox,l=e.dataBox,h=e.screenBox,p=e.pixelRatio,d=e.tickEnable,m=e.tickPad,g=e.tickColor,v=e.tickAngle,y=e.labelEnable,x=e.labelPad,b=e.labelColor,_=e.labelAngle,w=this.labelOffset[t],T=this.labelCount[t],k=o.lt(n,l[t]),M=o.le(n,l[t+2]);c[0]=c[1]=0,c[t]=1,u[t]=(s[2+t]+s[t])/(h[2+t]-h[t])-1;var A=2/h[2+(1^t)]-h[1^t];u[1^t]=A*s[1^t]-1,d[t]&&(u[1^t]-=A*p*m[t],k<M&&i[M]>i[k]&&(r.uniforms.dataAxis=c,r.uniforms.screenOffset=u,r.uniforms.color=g[t],r.uniforms.angle=v[t],a.drawArrays(a.TRIANGLES,i[k],i[M]-i[k]))),y[t]&&T&&(u[1^t]-=A*p*x[t],r.uniforms.dataAxis=f,r.uniforms.screenOffset=u,r.uniforms.color=b[t],r.uniforms.angle=_[t],a.drawArrays(a.TRIANGLES,w,T)),u[1^t]=A*s[2+(1^t)]-1,d[t+2]&&(u[1^t]+=A*p*m[t+2],k<M&&i[M]>i[k]&&(r.uniforms.dataAxis=c,r.uniforms.screenOffset=u,r.uniforms.color=g[t+2],r.uniforms.angle=v[t+2],a.drawArrays(a.TRIANGLES,i[k],i[M]-i[k]))),y[t+2]&&T&&(u[1^t]+=A*p*x[t+2],r.uniforms.dataAxis=f,r.uniforms.screenOffset=u,r.uniforms.color=b[t+2],r.uniforms.angle=_[t+2],a.drawArrays(a.TRIANGLES,w,T))}),m.drawTitle=function(){var t=[0,0],e=[0,0];return function(){var r=this.plot,n=this.shader,i=r.gl,a=r.screenBox,o=r.titleCenter,s=r.titleAngle,l=r.titleColor,c=r.pixelRatio;if(this.titleCount){for(var u=0;u<2;++u)e[u]=2*(o[u]*c-a[u])/(a[2+u]-a[u])-1;n.bind(),n.uniforms.dataAxis=t,n.uniforms.screenOffset=e,n.uniforms.angle=s,n.uniforms.color=l,i.drawArrays(i.TRIANGLES,this.titleOffset,this.titleCount)}}}(),m.bind=(h=[0,0],p=[0,0],d=[0,0],function(){var t=this.plot,e=this.shader,r=t._tickBounds,n=t.dataBox,i=t.screenBox,a=t.viewBox;e.bind();for(var o=0;o<2;++o){var s=r[o],l=r[o+2]-s,c=.5*(n[o+2]+n[o]),u=n[o+2]-n[o],f=a[o],m=a[o+2]-f,g=i[o],v=i[o+2]-g;p[o]=2*l/u*m/v,h[o]=2*(s-c)/u*m/v}d[1]=2*t.pixelRatio/(i[3]-i[1]),d[0]=d[1]*(i[3]-i[1])/(i[2]-i[0]),e.uniforms.dataScale=p,e.uniforms.dataShift=h,e.uniforms.textScale=d,this.vbo.bind(),e.attributes.textCoordinate.pointer()}),m.update=function(t){var e,r,n,i,o,s=[],l=t.ticks,c=t.bounds;for(o=0;o<2;++o){var u=[Math.floor(s.length/3)],f=[-1/0],h=l[o];for(e=0;e<h.length;++e){var p=h[e],d=p.x,m=p.text,g=p.font||\\\"sans-serif\\\";i=p.fontSize||12;for(var v=1/(c[o+2]-c[o]),y=c[o],x=m.split(\\\"\\\\n\\\"),b=0;b<x.length;b++)for(n=a(g,x[b]).data,r=0;r<n.length;r+=2)s.push(n[r]*i,-n[r+1]*i-b*i*1.2,(d-y)*v);u.push(Math.floor(s.length/3)),f.push(d)}this.tickOffset[o]=u,this.tickX[o]=f}for(o=0;o<2;++o){for(this.labelOffset[o]=Math.floor(s.length/3),n=a(t.labelFont[o],t.labels[o],{textAlign:\\\"center\\\"}).data,i=t.labelSize[o],e=0;e<n.length;e+=2)s.push(n[e]*i,-n[e+1]*i,0);this.labelCount[o]=Math.floor(s.length/3)-this.labelOffset[o]}for(this.titleOffset=Math.floor(s.length/3),n=a(t.titleFont,t.title).data,i=t.titleSize,e=0;e<n.length;e+=2)s.push(n[e]*i,-n[e+1]*i,0);this.titleCount=Math.floor(s.length/3)-this.titleOffset,this.vbo.update(s)},m.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},{\\\"./shaders\\\":311,\\\"binary-search-bounds\\\":99,\\\"gl-buffer\\\":259,\\\"gl-shader\\\":331,\\\"text-cache\\\":588}],313:[function(t,e,r){arguments[4][257][0].apply(r,arguments)},{dup:257}],314:[function(t,e,r){\\\"use strict\\\";e.exports=function(t){var e=t.gl,r=n(e,[e.drawingBufferWidth,e.drawingBufferHeight]),c=new l(e,r);return c.grid=i(c),c.text=a(c),c.line=o(c),c.box=s(c),c.update(t),c};var n=t(\\\"gl-select-static\\\"),i=t(\\\"./lib/grid\\\"),a=t(\\\"./lib/text\\\"),o=t(\\\"./lib/line\\\"),s=t(\\\"./lib/box\\\");function l(t,e){this.gl=t,this.pickBuffer=e,this.screenBox=[0,0,t.drawingBufferWidth,t.drawingBufferHeight],this.viewBox=[0,0,0,0],this.dataBox=[-10,-10,10,10],this.gridLineEnable=[!0,!0],this.gridLineWidth=[1,1],this.gridLineColor=[[0,0,0,1],[0,0,0,1]],this.pixelRatio=1,this.tickMarkLength=[0,0,0,0],this.tickMarkWidth=[0,0,0,0],this.tickMarkColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[15,15,15,15],this.tickAngle=[0,0,0,0],this.tickEnable=[!0,!0,!0,!0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[15,15,15,15],this.labelAngle=[0,Math.PI/2,0,3*Math.PI/2],this.labelEnable=[!0,!0,!0,!0],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.titleCenter=[0,0],this.titleEnable=!0,this.titleAngle=0,this.titleColor=[0,0,0,1],this.borderColor=[0,0,0,0],this.backgroundColor=[0,0,0,0],this.zeroLineEnable=[!0,!0],this.zeroLineWidth=[4,4],this.zeroLineColor=[[0,0,0,1],[0,0,0,1]],this.borderLineEnable=[!0,!0,!0,!0],this.borderLineWidth=[2,2,2,2],this.borderLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.grid=null,this.text=null,this.line=null,this.box=null,this.objects=[],this.overlays=[],this._tickBounds=[1/0,1/0,-1/0,-1/0],this.static=!1,this.dirty=!1,this.pickDirty=!1,this.pickDelay=120,this.pickRadius=10,this._pickTimeout=null,this._drawPick=this.drawPick.bind(this),this._depthCounter=0}var c=l.prototype;function u(t){for(var e=t.slice(),r=0;r<e.length;++r)e[r]=e[r].slice();return e}function f(t,e){return t.x-e.x}c.setDirty=function(){this.dirty=this.pickDirty=!0},c.setOverlayDirty=function(){this.dirty=!0},c.nextDepthValue=function(){return this._depthCounter++/65536},c.draw=function(){var t=this.gl,e=this.screenBox,r=this.viewBox,n=this.dataBox,i=this.pixelRatio,a=this.grid,o=this.line,s=this.text,l=this.objects;if(this._depthCounter=0,this.pickDirty&&(this._pickTimeout&&clearTimeout(this._pickTimeout),this.pickDirty=!1,this._pickTimeout=setTimeout(this._drawPick,this.pickDelay)),this.dirty){if(this.dirty=!1,t.bindFramebuffer(t.FRAMEBUFFER,null),t.enable(t.SCISSOR_TEST),t.disable(t.DEPTH_TEST),t.depthFunc(t.LESS),t.depthMask(!1),t.enable(t.BLEND),t.blendEquation(t.FUNC_ADD,t.FUNC_ADD),t.blendFunc(t.ONE,t.ONE_MINUS_SRC_ALPHA),this.borderColor){t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]);var c=this.borderColor;t.clearColor(c[0]*c[3],c[1]*c[3],c[2]*c[3],c[3]),t.clear(t.COLOR_BUFFER_BIT|t.DEPTH_BUFFER_BIT)}t.scissor(r[0],r[1],r[2]-r[0],r[3]-r[1]),t.viewport(r[0],r[1],r[2]-r[0],r[3]-r[1]);var u=this.backgroundColor;t.clearColor(u[0]*u[3],u[1]*u[3],u[2]*u[3],u[3]),t.clear(t.COLOR_BUFFER_BIT),a.draw();var f=this.zeroLineEnable,h=this.zeroLineColor,p=this.zeroLineWidth;if(f[0]||f[1]){o.bind();for(var d=0;d<2;++d)if(f[d]&&n[d]<=0&&n[d+2]>=0){var m=e[d]-n[d]*(e[d+2]-e[d])/(n[d+2]-n[d]);0===d?o.drawLine(m,e[1],m,e[3],p[d],h[d]):o.drawLine(e[0],m,e[2],m,p[d],h[d])}}for(d=0;d<l.length;++d)l[d].draw();t.viewport(e[0],e[1],e[2]-e[0],e[3]-e[1]),t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]),this.grid.drawTickMarks(),o.bind();var g=this.borderLineEnable,v=this.borderLineWidth,y=this.borderLineColor;for(g[1]&&o.drawLine(r[0],r[1]-.5*v[1]*i,r[0],r[3]+.5*v[3]*i,v[1],y[1]),g[0]&&o.drawLine(r[0]-.5*v[0]*i,r[1],r[2]+.5*v[2]*i,r[1],v[0],y[0]),g[3]&&o.drawLine(r[2],r[1]-.5*v[1]*i,r[2],r[3]+.5*v[3]*i,v[3],y[3]),g[2]&&o.drawLine(r[0]-.5*v[0]*i,r[3],r[2]+.5*v[2]*i,r[3],v[2],y[2]),s.bind(),d=0;d<2;++d)s.drawTicks(d);this.titleEnable&&s.drawTitle();var x=this.overlays;for(d=0;d<x.length;++d)x[d].draw();t.disable(t.SCISSOR_TEST),t.disable(t.BLEND),t.depthMask(!0)}},c.drawPick=function(){if(!this.static){var t=this.pickBuffer;this.gl,this._pickTimeout=null,t.begin();for(var e=1,r=this.objects,n=0;n<r.length;++n)e=r[n].drawPick(e);t.end()}},c.pick=function(t,e){if(!this.static){var r=this.pixelRatio,n=this.pickPixelRatio,i=this.viewBox,a=0|Math.round((t-i[0]/r)*n),o=0|Math.round((e-i[1]/r)*n),s=this.pickBuffer.query(a,o,this.pickRadius);if(!s)return null;for(var l=s.id+(s.value[0]<<8)+(s.value[1]<<16)+(s.value[2]<<24),c=this.objects,u=0;u<c.length;++u){var f=c[u].pick(a,o,l);if(f)return f}return null}},c.setScreenBox=function(t){var e=this.screenBox,r=this.pixelRatio;e[0]=0|Math.round(t[0]*r),e[1]=0|Math.round(t[1]*r),e[2]=0|Math.round(t[2]*r),e[3]=0|Math.round(t[3]*r),this.setDirty()},c.setDataBox=function(t){var e=this.dataBox;(e[0]!==t[0]||e[1]!==t[1]||e[2]!==t[2]||e[3]!==t[3])&&(e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],this.setDirty())},c.setViewBox=function(t){var e=this.pixelRatio,r=this.viewBox;r[0]=0|Math.round(t[0]*e),r[1]=0|Math.round(t[1]*e),r[2]=0|Math.round(t[2]*e),r[3]=0|Math.round(t[3]*e);var n=this.pickPixelRatio;this.pickBuffer.shape=[0|Math.round((t[2]-t[0])*n),0|Math.round((t[3]-t[1])*n)],this.setDirty()},c.update=function(t){t=t||{};var e=this.gl;this.pixelRatio=t.pixelRatio||1;var r=this.pixelRatio;this.pickPixelRatio=Math.max(r,1),this.setScreenBox(t.screenBox||[0,0,e.drawingBufferWidth/r,e.drawingBufferHeight/r]);this.screenBox;this.setViewBox(t.viewBox||[.125*(this.screenBox[2]-this.screenBox[0])/r,.125*(this.screenBox[3]-this.screenBox[1])/r,.875*(this.screenBox[2]-this.screenBox[0])/r,.875*(this.screenBox[3]-this.screenBox[1])/r]);var n=this.viewBox,i=(n[2]-n[0])/(n[3]-n[1]);this.setDataBox(t.dataBox||[-10,-10/i,10,10/i]),this.borderColor=!1!==t.borderColor&&(t.borderColor||[0,0,0,0]).slice(),this.backgroundColor=(t.backgroundColor||[0,0,0,0]).slice(),this.gridLineEnable=(t.gridLineEnable||[!0,!0]).slice(),this.gridLineWidth=(t.gridLineWidth||[1,1]).slice(),this.gridLineColor=u(t.gridLineColor||[[.5,.5,.5,1],[.5,.5,.5,1]]),this.zeroLineEnable=(t.zeroLineEnable||[!0,!0]).slice(),this.zeroLineWidth=(t.zeroLineWidth||[4,4]).slice(),this.zeroLineColor=u(t.zeroLineColor||[[0,0,0,1],[0,0,0,1]]),this.tickMarkLength=(t.tickMarkLength||[0,0,0,0]).slice(),this.tickMarkWidth=(t.tickMarkWidth||[0,0,0,0]).slice(),this.tickMarkColor=u(t.tickMarkColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.titleCenter=(t.titleCenter||[.5*(n[0]+n[2])/r,(n[3]+120)/r]).slice(),this.titleEnable=!(\\\"titleEnable\\\"in t)||!!t.titleEnable,this.titleAngle=t.titleAngle||0,this.titleColor=(t.titleColor||[0,0,0,1]).slice(),this.labelPad=(t.labelPad||[15,15,15,15]).slice(),this.labelAngle=(t.labelAngle||[0,Math.PI/2,0,3*Math.PI/2]).slice(),this.labelEnable=(t.labelEnable||[!0,!0,!0,!0]).slice(),this.labelColor=u(t.labelColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.tickPad=(t.tickPad||[15,15,15,15]).slice(),this.tickAngle=(t.tickAngle||[0,0,0,0]).slice(),this.tickEnable=(t.tickEnable||[!0,!0,!0,!0]).slice(),this.tickColor=u(t.tickColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.borderLineEnable=(t.borderLineEnable||[!0,!0,!0,!0]).slice(),this.borderLineWidth=(t.borderLineWidth||[2,2,2,2]).slice(),this.borderLineColor=u(t.borderLineColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]);var a=t.ticks||[[],[]],o=this._tickBounds;o[0]=o[1]=1/0,o[2]=o[3]=-1/0;for(var s=0;s<2;++s){var l=a[s].slice(0);0!==l.length&&(l.sort(f),o[s]=Math.min(o[s],l[0].x),o[s+2]=Math.max(o[s+2],l[l.length-1].x))}this.grid.update({bounds:o,ticks:a}),this.text.update({bounds:o,ticks:a,labels:t.labels||[\\\"x\\\",\\\"y\\\"],labelSize:t.labelSize||[12,12],labelFont:t.labelFont||[\\\"sans-serif\\\",\\\"sans-serif\\\"],title:t.title||\\\"\\\",titleSize:t.titleSize||18,titleFont:t.titleFont||\\\"sans-serif\\\"}),this.static=!!t.static,this.setDirty()},c.dispose=function(){this.box.dispose(),this.grid.dispose(),this.text.dispose(),this.line.dispose();for(var t=this.objects.length-1;t>=0;--t)this.objects[t].dispose();this.objects.length=0;for(t=this.overlays.length-1;t>=0;--t)this.overlays[t].dispose();this.overlays.length=0,this.gl=null},c.addObject=function(t){this.objects.indexOf(t)<0&&(this.objects.push(t),this.setDirty())},c.removeObject=function(t){for(var e=this.objects,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setDirty();break}},c.addOverlay=function(t){this.overlays.indexOf(t)<0&&(this.overlays.push(t),this.setOverlayDirty())},c.removeOverlay=function(t){for(var e=this.overlays,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setOverlayDirty();break}}},{\\\"./lib/box\\\":308,\\\"./lib/grid\\\":309,\\\"./lib/line\\\":310,\\\"./lib/text\\\":312,\\\"gl-select-static\\\":330}],315:[function(t,e,r){\\\"use strict\\\";e.exports=function(t,e){t=t||document.body,e=e||{};var r=[.01,1/0];\\\"distanceLimits\\\"in e&&(r[0]=e.distanceLimits[0],r[1]=e.distanceLimits[1]);\\\"zoomMin\\\"in e&&(r[0]=e.zoomMin);\\\"zoomMax\\\"in e&&(r[1]=e.zoomMax);var c=i({center:e.center||[0,0,0],up:e.up||[0,1,0],eye:e.eye||[0,0,10],mode:e.mode||\\\"orbit\\\",distanceLimits:r}),u=[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],f=0,h=t.clientWidth,p=t.clientHeight,d={keyBindingMode:\\\"rotate\\\",enableWheel:!0,view:c,element:t,delay:e.delay||16,rotateSpeed:e.rotateSpeed||1,zoomSpeed:e.zoomSpeed||1,translateSpeed:e.translateSpeed||1,flipX:!!e.flipX,flipY:!!e.flipY,modes:c.modes,_ortho:e._ortho||e.projection&&\\\"orthographic\\\"===e.projection.type||!1,tick:function(){var e=n(),r=this.delay,i=e-2*r;c.idle(e-r),c.recalcMatrix(i),c.flush(e-(100+2*r));for(var a=!0,o=c.computedMatrix,s=0;s<16;++s)a=a&&u[s]===o[s],u[s]=o[s];var l=t.clientWidth===h&&t.clientHeight===p;return h=t.clientWidth,p=t.clientHeight,a?!l:(f=Math.exp(c.computedRadius[0]),!0)},lookAt:function(t,e,r){c.lookAt(c.lastT(),t,e,r)},rotate:function(t,e,r){c.rotate(c.lastT(),t,e,r)},pan:function(t,e,r){c.pan(c.lastT(),t,e,r)},translate:function(t,e,r){c.translate(c.lastT(),t,e,r)}};return Object.defineProperties(d,{matrix:{get:function(){return c.computedMatrix},set:function(t){return c.setMatrix(c.lastT(),t),c.computedMatrix},enumerable:!0},mode:{get:function(){return c.getMode()},set:function(t){var e=c.computedUp.slice(),r=c.computedEye.slice(),i=c.computedCenter.slice();if(c.setMode(t),\\\"turntable\\\"===t){var a=n();c._active.lookAt(a,r,i,e),c._active.lookAt(a+500,r,i,[0,0,1]),c._active.flush(a)}return c.getMode()},enumerable:!0},center:{get:function(){return c.computedCenter},set:function(t){return c.lookAt(c.lastT(),null,t),c.computedCenter},enumerable:!0},eye:{get:function(){return c.computedEye},set:function(t){return c.lookAt(c.lastT(),t),c.computedEye},enumerable:!0},up:{get:function(){return c.computedUp},set:function(t){return c.lookAt(c.lastT(),null,null,t),c.computedUp},enumerable:!0},distance:{get:function(){return f},set:function(t){return c.setDistance(c.lastT(),t),t},enumerable:!0},distanceLimits:{get:function(){return c.getDistanceLimits(r)},set:function(t){return c.setDistanceLimits(t),t},enumerable:!0}}),t.addEventListener(\\\"contextmenu\\\",(function(t){return t.preventDefault(),!1})),d._lastX=-1,d._lastY=-1,d._lastMods={shift:!1,control:!1,alt:!1,meta:!1},d.enableMouseListeners=function(){function e(e,r,i,a){var o=d.keyBindingMode;if(!1!==o){var s=\\\"rotate\\\"===o,l=\\\"pan\\\"===o,u=\\\"zoom\\\"===o,h=!!a.control,p=!!a.alt,m=!!a.shift,g=!!(1&e),v=!!(2&e),y=!!(4&e),x=1/t.clientHeight,b=x*(r-d._lastX),_=x*(i-d._lastY),w=d.flipX?1:-1,T=d.flipY?1:-1,k=Math.PI*d.rotateSpeed,M=n();if(-1!==d._lastX&&-1!==d._lastY&&((s&&g&&!h&&!p&&!m||g&&!h&&!p&&m)&&c.rotate(M,w*k*b,-T*k*_,0),(l&&g&&!h&&!p&&!m||v||g&&h&&!p&&!m)&&c.pan(M,-d.translateSpeed*b*f,d.translateSpeed*_*f,0),u&&g&&!h&&!p&&!m||y||g&&!h&&p&&!m)){var A=-d.zoomSpeed*_/window.innerHeight*(M-c.lastT())*100;c.pan(M,0,0,f*(Math.exp(A)-1))}return d._lastX=r,d._lastY=i,d._lastMods=a,!0}}d.mouseListener=a(t,e),t.addEventListener(\\\"touchstart\\\",(function(r){var n=s(r.changedTouches[0],t);e(0,n[0],n[1],d._lastMods),e(1,n[0],n[1],d._lastMods)}),!!l&&{passive:!0}),t.addEventListener(\\\"touchmove\\\",(function(r){var n=s(r.changedTouches[0],t);e(1,n[0],n[1],d._lastMods),r.preventDefault()}),!!l&&{passive:!1}),t.addEventListener(\\\"touchend\\\",(function(t){e(0,d._lastX,d._lastY,d._lastMods)}),!!l&&{passive:!0}),d.wheelListener=o(t,(function(t,e){if(!1!==d.keyBindingMode&&d.enableWheel){var r=d.flipX?1:-1,i=d.flipY?1:-1,a=n();if(Math.abs(t)>Math.abs(e))c.rotate(a,0,0,-t*r*Math.PI*d.rotateSpeed/window.innerWidth);else if(!d._ortho){var o=-d.zoomSpeed*i*e/window.innerHeight*(a-c.lastT())/20;c.pan(a,0,0,f*(Math.exp(o)-1))}}}),!0)},d.enableMouseListeners(),d};var n=t(\\\"right-now\\\"),i=t(\\\"3d-view\\\"),a=t(\\\"mouse-change\\\"),o=t(\\\"mouse-wheel\\\"),s=t(\\\"mouse-event-offset\\\"),l=t(\\\"has-passive-events\\\")},{\\\"3d-view\\\":55,\\\"has-passive-events\\\":436,\\\"mouse-change\\\":462,\\\"mouse-event-offset\\\":463,\\\"mouse-wheel\\\":465,\\\"right-now\\\":534}],316:[function(t,e,r){var n=t(\\\"glslify\\\"),i=t(\\\"gl-shader\\\"),a=n([\\\"precision mediump float;\\\\n#define GLSLIFY 1\\\\nattribute vec2 position;\\\\nvarying vec2 uv;\\\\nvoid main() {\\\\n  uv = position;\\\\n  gl_Position = vec4(position, 0, 1);\\\\n}\\\"]),o=n([\\\"precision mediump float;\\\\n#define GLSLIFY 1\\\\n\\\\nuniform sampler2D accumBuffer;\\\\nvarying vec2 uv;\\\\n\\\\nvoid main() {\\\\n  vec4 accum = texture2D(accumBuffer, 0.5 * (uv + 1.0));\\\\n  gl_FragColor = min(vec4(1,1,1,1), accum);\\\\n}\\\"]);e.exports=function(t){return i(t,a,o,null,[{name:\\\"position\\\",type:\\\"vec2\\\"}])}},{\\\"gl-shader\\\":331,glslify:317}],317:[function(t,e,r){arguments[4][257][0].apply(r,arguments)},{dup:257}],318:[function(t,e,r){\\\"use strict\\\";var n=t(\\\"./camera.js\\\"),i=t(\\\"gl-axes3d\\\"),a=t(\\\"gl-axes3d/properties\\\"),o=t(\\\"gl-spikes3d\\\"),s=t(\\\"gl-select-static\\\"),l=t(\\\"gl-fbo\\\"),c=t(\\\"a-big-triangle\\\"),u=t(\\\"mouse-change\\\"),f=t(\\\"gl-mat4/perspective\\\"),h=t(\\\"gl-mat4/ortho\\\"),p=t(\\\"./lib/shader\\\"),d=t(\\\"is-mobile\\\")({tablet:!0,featureDetect:!0});function m(){this.mouse=[-1,-1],this.screen=null,this.distance=1/0,this.index=null,this.dataCoordinate=null,this.dataPosition=null,this.object=null,this.data=null}function g(t){var e=Math.round(Math.log(Math.abs(t))/Math.log(10));if(e<0){var r=Math.round(Math.pow(10,-e));return Math.ceil(t*r)/r}if(e>0){r=Math.round(Math.pow(10,e));return Math.ceil(t/r)*r}return Math.ceil(t)}function v(t){return\\\"boolean\\\"!=typeof t||t}e.exports={createScene:function(t){(t=t||{}).camera=t.camera||{};var e=t.canvas;if(!e){if(e=document.createElement(\\\"canvas\\\"),t.container)t.container.appendChild(e);else document.body.appendChild(e)}var r=t.gl;r||(t.glOptions&&(d=!!t.glOptions.preserveDrawingBuffer),r=function(t,e){var r=null;try{(r=t.getContext(\\\"webgl\\\",e))||(r=t.getContext(\\\"experimental-webgl\\\",e))}catch(t){return null}return r}(e,t.glOptions||{premultipliedAlpha:!0,antialias:!0,preserveDrawingBuffer:d}));if(!r)throw new Error(\\\"webgl not supported\\\");var y=t.bounds||[[-10,-10,-10],[10,10,10]],x=new m,b=l(r,r.drawingBufferWidth,r.drawingBufferHeight,{preferFloat:!d}),_=p(r),w=t.cameraObject&&!0===t.cameraObject._ortho||t.camera.projection&&\\\"orthographic\\\"===t.camera.projection.type||!1,T={eye:t.camera.eye||[2,0,0],center:t.camera.center||[0,0,0],up:t.camera.up||[0,1,0],zoomMin:t.camera.zoomMax||.1,zoomMax:t.camera.zoomMin||100,mode:t.camera.mode||\\\"turntable\\\",_ortho:w},k=t.axes||{},M=i(r,k);M.enable=!k.disable;var A=t.spikes||{},S=o(r,A),E=[],L=[],C=[],P=[],I=!0,O=!0,z=new Array(16),D=new Array(16),R={view:null,projection:z,model:D,_ortho:!1},F=(O=!0,[r.drawingBufferWidth,r.drawingBufferHeight]),B=t.cameraObject||n(e,T),N={gl:r,contextLost:!1,pixelRatio:t.pixelRatio||1,canvas:e,selection:x,camera:B,axes:M,axesPixels:null,spikes:S,bounds:y,objects:E,shape:F,aspect:t.aspectRatio||[1,1,1],pickRadius:t.pickRadius||10,zNear:t.zNear||.01,zFar:t.zFar||1e3,fovy:t.fovy||Math.PI/4,clearColor:t.clearColor||[0,0,0,0],autoResize:v(t.autoResize),autoBounds:v(t.autoBounds),autoScale:!!t.autoScale,autoCenter:v(t.autoCenter),clipToBounds:v(t.clipToBounds),snapToData:!!t.snapToData,onselect:t.onselect||null,onrender:t.onrender||null,onclick:t.onclick||null,cameraParams:R,oncontextloss:null,mouseListener:null,_stopped:!1,getAspectratio:function(){return{x:this.aspect[0],y:this.aspect[1],z:this.aspect[2]}},setAspectratio:function(t){this.aspect[0]=t.x,this.aspect[1]=t.y,this.aspect[2]=t.z,O=!0},setBounds:function(t,e){this.bounds[0][t]=e.min,this.bounds[1][t]=e.max},setClearColor:function(t){this.clearColor=t},clearRGBA:function(){this.gl.clearColor(this.clearColor[0],this.clearColor[1],this.clearColor[2],this.clearColor[3]),this.gl.clear(this.gl.COLOR_BUFFER_BIT|this.gl.DEPTH_BUFFER_BIT)}},j=[r.drawingBufferWidth/N.pixelRatio|0,r.drawingBufferHeight/N.pixelRatio|0];function U(){if(!N._stopped&&N.autoResize){var t=e.parentNode,r=1,n=1;t&&t!==document.body?(r=t.clientWidth,n=t.clientHeight):(r=window.innerWidth,n=window.innerHeight);var i=0|Math.ceil(r*N.pixelRatio),a=0|Math.ceil(n*N.pixelRatio);if(i!==e.width||a!==e.height){e.width=i,e.height=a;var o=e.style;o.position=o.position||\\\"absolute\\\",o.left=\\\"0px\\\",o.top=\\\"0px\\\",o.width=r+\\\"px\\\",o.height=n+\\\"px\\\",I=!0}}}N.autoResize&&U();function V(){for(var t=E.length,e=P.length,n=0;n<e;++n)C[n]=0;t:for(n=0;n<t;++n){var i=E[n],a=i.pickSlots;if(a){for(var o=0;o<e;++o)if(C[o]+a<255){L[n]=o,i.setPickBase(C[o]+1),C[o]+=a;continue t}var l=s(r,F);L[n]=e,P.push(l),C.push(a),i.setPickBase(1),e+=1}else L[n]=-1}for(;e>0&&0===C[e-1];)C.pop(),P.pop().dispose()}function q(){if(N.contextLost)return!0;r.isContextLost()&&(N.contextLost=!0,N.mouseListener.enabled=!1,N.selection.object=null,N.oncontextloss&&N.oncontextloss())}window.addEventListener(\\\"resize\\\",U),N.update=function(t){N._stopped||(t=t||{},I=!0,O=!0)},N.add=function(t){N._stopped||(t.axes=M,E.push(t),L.push(-1),I=!0,O=!0,V())},N.remove=function(t){if(!N._stopped){var e=E.indexOf(t);e<0||(E.splice(e,1),L.pop(),I=!0,O=!0,V())}},N.dispose=function(){if(!N._stopped&&(N._stopped=!0,window.removeEventListener(\\\"resize\\\",U),e.removeEventListener(\\\"webglcontextlost\\\",q),N.mouseListener.enabled=!1,!N.contextLost)){M.dispose(),S.dispose();for(var t=0;t<E.length;++t)E[t].dispose();b.dispose();for(t=0;t<P.length;++t)P[t].dispose();_.dispose(),r=null,M=null,S=null,E=[]}},N._mouseRotating=!1,N._prevButtons=0,N.enableMouseListeners=function(){N.mouseListener=u(e,(function(t,e,r){if(!N._stopped){var n=P.length,i=E.length,a=x.object;x.distance=1/0,x.mouse[0]=e,x.mouse[1]=r,x.object=null,x.screen=null,x.dataCoordinate=x.dataPosition=null;var o=!1;if(t&&N._prevButtons)N._mouseRotating=!0;else{N._mouseRotating&&(O=!0),N._mouseRotating=!1;for(var s=0;s<n;++s){var l=P[s].query(e,j[1]-r-1,N.pickRadius);if(l){if(l.distance>x.distance)continue;for(var c=0;c<i;++c){var u=E[c];if(L[c]===s){var f=u.pick(l);f&&(x.buttons=t,x.screen=l.coord,x.distance=l.distance,x.object=u,x.index=f.distance,x.dataPosition=f.position,x.dataCoordinate=f.dataCoordinate,x.data=f,o=!0)}}}}}a&&a!==x.object&&(a.highlight&&a.highlight(null),I=!0),x.object&&(x.object.highlight&&x.object.highlight(x.data),I=!0),(o=o||x.object!==a)&&N.onselect&&N.onselect(x),1&t&&!(1&N._prevButtons)&&N.onclick&&N.onclick(x),N._prevButtons=t}}))},e.addEventListener(\\\"webglcontextlost\\\",q);var H=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],G=[H[0].slice(),H[1].slice()];function Y(){if(!q()){U();var t=N.camera.tick();R.view=N.camera.matrix,I=I||t,O=O||t,M.pixelRatio=N.pixelRatio,S.pixelRatio=N.pixelRatio;var e=E.length,n=H[0],i=H[1];n[0]=n[1]=n[2]=1/0,i[0]=i[1]=i[2]=-1/0;for(var o=0;o<e;++o){(C=E[o]).pixelRatio=N.pixelRatio,C.axes=N.axes,I=I||!!C.dirty,O=O||!!C.dirty;var s=C.bounds;if(s)for(var l=s[0],u=s[1],p=0;p<3;++p)n[p]=Math.min(n[p],l[p]),i[p]=Math.max(i[p],u[p])}var d=N.bounds;if(N.autoBounds)for(p=0;p<3;++p){if(i[p]<n[p])n[p]=-1,i[p]=1;else{n[p]===i[p]&&(n[p]-=1,i[p]+=1);var m=.05*(i[p]-n[p]);n[p]=n[p]-m,i[p]=i[p]+m}d[0][p]=n[p],d[1][p]=i[p]}var v=!1;for(p=0;p<3;++p)v=v||G[0][p]!==d[0][p]||G[1][p]!==d[1][p],G[0][p]=d[0][p],G[1][p]=d[1][p];if(O=O||v,I=I||v){if(v){var y=[0,0,0];for(o=0;o<3;++o)y[o]=g((d[1][o]-d[0][o])/10);M.autoTicks?M.update({bounds:d,tickSpacing:y}):M.update({bounds:d})}var T=r.drawingBufferWidth,k=r.drawingBufferHeight;F[0]=T,F[1]=k,j[0]=0|Math.max(T/N.pixelRatio,1),j[1]=0|Math.max(k/N.pixelRatio,1),function(t,e){var r=t.bounds,n=t.cameraParams,i=n.projection,a=n.model,o=t.gl.drawingBufferWidth,s=t.gl.drawingBufferHeight,l=t.zNear,c=t.zFar,u=t.fovy,p=o/s;e?(h(i,-p,p,-1,1,l,c),n._ortho=!0):(f(i,u,p,l,c),n._ortho=!1);for(var d=0;d<16;++d)a[d]=0;a[15]=1;var m=0;for(d=0;d<3;++d)m=Math.max(m,r[1][d]-r[0][d]);for(d=0;d<3;++d)t.autoScale?a[5*d]=t.aspect[d]/(r[1][d]-r[0][d]):a[5*d]=1/m,t.autoCenter&&(a[12+d]=.5*-a[5*d]*(r[0][d]+r[1][d]))}(N,w);for(o=0;o<e;++o){(C=E[o]).axesBounds=d,N.clipToBounds&&(C.clipBounds=d)}x.object&&(N.snapToData?S.position=x.dataCoordinate:S.position=x.dataPosition,S.bounds=d),O&&(O=!1,function(){if(!q()){r.colorMask(!0,!0,!0,!0),r.depthMask(!0),r.disable(r.BLEND),r.enable(r.DEPTH_TEST),r.depthFunc(r.LEQUAL);for(var t=E.length,e=P.length,n=0;n<e;++n){var i=P[n];i.shape=j,i.begin();for(var a=0;a<t;++a)if(L[a]===n){var o=E[a];o.drawPick&&(o.pixelRatio=1,o.drawPick(R))}i.end()}}}()),N.axesPixels=a(N.axes,R,T,k),N.onrender&&N.onrender(),r.bindFramebuffer(r.FRAMEBUFFER,null),r.viewport(0,0,T,k),N.clearRGBA(),r.depthMask(!0),r.colorMask(!0,!0,!0,!0),r.enable(r.DEPTH_TEST),r.depthFunc(r.LEQUAL),r.disable(r.BLEND),r.disable(r.CULL_FACE);var A=!1;M.enable&&(A=A||M.isTransparent(),M.draw(R)),S.axes=M,x.object&&S.draw(R),r.disable(r.CULL_FACE);for(o=0;o<e;++o){(C=E[o]).axes=M,C.pixelRatio=N.pixelRatio,C.isOpaque&&C.isOpaque()&&C.draw(R),C.isTransparent&&C.isTransparent()&&(A=!0)}if(A){b.shape=F,b.bind(),r.clear(r.DEPTH_BUFFER_BIT),r.colorMask(!1,!1,!1,!1),r.depthMask(!0),r.depthFunc(r.LESS),M.enable&&M.isTransparent()&&M.drawTransparent(R);for(o=0;o<e;++o){(C=E[o]).isOpaque&&C.isOpaque()&&C.draw(R)}r.enable(r.BLEND),r.blendEquation(r.FUNC_ADD),r.blendFunc(r.ONE,r.ONE_MINUS_SRC_ALPHA),r.colorMask(!0,!0,!0,!0),r.depthMask(!1),r.clearColor(0,0,0,0),r.clear(r.COLOR_BUFFER_BIT),M.isTransparent()&&M.drawTransparent(R);for(o=0;o<e;++o){var C;(C=E[o]).isTransparent&&C.isTransparent()&&C.drawTransparent(R)}r.bindFramebuffer(r.FRAMEBUFFER,null),r.blendFunc(r.ONE,r.ONE_MINUS_SRC_ALPHA),r.disable(r.DEPTH_TEST),_.bind(),b.color[0].bind(0),_.uniforms.accumBuffer=0,c(r),r.disable(r.BLEND)}I=!1;for(o=0;o<e;++o)E[o].dirty=!1}}}return N.enableMouseListeners(),function t(){if(N._stopped||N.contextLost)return;Y(),requestAnimationFrame(t)}(),N.redraw=function(){N._stopped||(I=!0,Y())},N},createCamera:n}},{\\\"./camera.js\\\":315,\\\"./lib/shader\\\":316,\\\"a-big-triangle\\\":66,\\\"gl-axes3d\\\":250,\\\"gl-axes3d/properties\\\":258,\\\"gl-fbo\\\":268,\\\"gl-mat4/ortho\\\":294,\\\"gl-mat4/perspective\\\":295,\\\"gl-select-static\\\":330,\\\"gl-spikes3d\\\":341,\\\"is-mobile\\\":447,\\\"mouse-change\\\":462}],319:[function(t,e,r){var n=t(\\\"glslify\\\");r.pointVertex=n([\\\"precision mediump float;\\\\n#define GLSLIFY 1\\\\n\\\\nattribute vec2 position;\\\\n\\\\nuniform mat3 matrix;\\\\nuniform float pointSize;\\\\nuniform float pointCloud;\\\\n\\\\nhighp float rand(vec2 co) {\\\\n  highp float a = 12.9898;\\\\n  highp float b = 78.233;\\\\n  highp float c = 43758.5453;\\\\n  highp float d = dot(co.xy, vec2(a, b));\\\\n  highp float e = mod(d, 3.14);\\\\n  return fract(sin(e) * c);\\\\n}\\\\n\\\\nvoid main() {\\\\n  vec3 hgPosition = matrix * vec3(position, 1);\\\\n  gl_Position  = vec4(hgPosition.xy, 0, hgPosition.z);\\\\n    // if we don't jitter the point size a bit, overall point cloud\\\\n    // saturation 'jumps' on zooming, which is disturbing and confusing\\\\n  gl_PointSize = pointSize * ((19.5 + rand(position)) / 20.0);\\\\n  if(pointCloud != 0.0) { // pointCloud is truthy\\\\n    // get the same square surface as circle would be\\\\n    gl_PointSize *= 0.886;\\\\n  }\\\\n}\\\"]),r.pointFragment=n([\\\"precision mediump float;\\\\n#define GLSLIFY 1\\\\n\\\\nuniform vec4 color, borderColor;\\\\nuniform float centerFraction;\\\\nuniform float pointCloud;\\\\n\\\\nvoid main() {\\\\n  float radius;\\\\n  vec4 baseColor;\\\\n  if(pointCloud != 0.0) { // pointCloud is truthy\\\\n    if(centerFraction == 1.0) {\\\\n      gl_FragColor = color;\\\\n    } else {\\\\n      gl_FragColor = mix(borderColor, color, centerFraction);\\\\n    }\\\\n  } else {\\\\n    radius = length(2.0 * gl_PointCoord.xy - 1.0);\\\\n    if(radius > 1.0) {\\\\n      discard;\\\\n    }\\\\n    baseColor = mix(borderColor, color, step(radius, centerFraction));\\\\n    gl_FragColor = vec4(baseColor.rgb * baseColor.a, baseColor.a);\\\\n  }\\\\n}\\\\n\\\"]),r.pickVertex=n([\\\"precision mediump float;\\\\n#define GLSLIFY 1\\\\n\\\\nattribute vec2 position;\\\\nattribute vec4 pickId;\\\\n\\\\nuniform mat3 matrix;\\\\nuniform float pointSize;\\\\nuniform vec4 pickOffset;\\\\n\\\\nvarying vec4 fragId;\\\\n\\\\nvoid main() {\\\\n  vec3 hgPosition = matrix * vec3(position, 1);\\\\n  gl_Position  = vec4(hgPosition.xy, 0, hgPosition.z);\\\\n  gl_PointSize = pointSize;\\\\n\\\\n  vec4 id = pickId + pickOffset;\\\\n  id.y += floor(id.x / 256.0);\\\\n  id.x -= floor(id.x / 256.0) * 256.0;\\\\n\\\\n  id.z += floor(id.y / 256.0);\\\\n  id.y -= floor(id.y / 256.0) * 256.0;\\\\n\\\\n  id.w += floor(id.z / 256.0);\\\\n  id.z -= floor(id.z / 256.0) * 256.0;\\\\n\\\\n  fragId = id;\\\\n}\\\\n\\\"]),r.pickFragment=n([\\\"precision mediump float;\\\\n#define GLSLIFY 1\\\\n\\\\nvarying vec4 fragId;\\\\n\\\\nvoid main() {\\\\n  float radius = length(2.0 * gl_PointCoord.xy - 1.0);\\\\n  if(radius > 1.0) {\\\\n    discard;\\\\n  }\\\\n  gl_FragColor = fragId / 255.0;\\\\n}\\\\n\\\"])},{glslify:434}],320:[function(t,e,r){\\\"use strict\\\";var n=t(\\\"gl-shader\\\"),i=t(\\\"gl-buffer\\\"),a=t(\\\"typedarray-pool\\\"),o=t(\\\"./lib/shader\\\");function s(t,e,r,n,i){this.plot=t,this.offsetBuffer=e,this.pickBuffer=r,this.shader=n,this.pickShader=i,this.sizeMin=.5,this.sizeMinCap=2,this.sizeMax=20,this.areaRatio=1,this.pointCount=0,this.color=[1,0,0,1],this.borderColor=[0,0,0,1],this.blend=!1,this.pickOffset=0,this.points=null}e.exports=function(t,e){var r=t.gl,a=i(r),l=i(r),c=n(r,o.pointVertex,o.pointFragment),u=n(r,o.pickVertex,o.pickFragment),f=new s(t,a,l,c,u);return f.update(e),t.addObject(f),f};var l,c,u=s.prototype;u.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.offsetBuffer.dispose(),this.pickBuffer.dispose(),this.plot.removeObject(this)},u.update=function(t){var e;function r(e,r){return e in t?t[e]:r}t=t||{},this.sizeMin=r(\\\"sizeMin\\\",.5),this.sizeMax=r(\\\"sizeMax\\\",20),this.color=r(\\\"color\\\",[1,0,0,1]).slice(),this.areaRatio=r(\\\"areaRatio\\\",1),this.borderColor=r(\\\"borderColor\\\",[0,0,0,1]).slice(),this.blend=r(\\\"blend\\\",!1);var n=t.positions.length>>>1,i=t.positions instanceof Float32Array,o=t.idToIndex instanceof Int32Array&&t.idToIndex.length>=n,s=t.positions,l=i?s:a.mallocFloat32(s.length),c=o?t.idToIndex:a.mallocInt32(n);if(i||l.set(s),!o)for(l.set(s),e=0;e<n;e++)c[e]=e;this.points=s,this.offsetBuffer.update(l),this.pickBuffer.update(c),i||a.free(l),o||a.free(c),this.pointCount=n,this.pickOffset=0},u.unifiedDraw=(l=[1,0,0,0,1,0,0,0,1],c=[0,0,0,0],function(t){var e=void 0!==t,r=e?this.pickShader:this.shader,n=this.plot.gl,i=this.plot.dataBox;if(0===this.pointCount)return t;var a=i[2]-i[0],o=i[3]-i[1],s=function(t,e){var r,n=0,i=t.length>>>1;for(r=0;r<i;r++){var a=t[2*r],o=t[2*r+1];a>=e[0]&&a<=e[2]&&o>=e[1]&&o<=e[3]&&n++}return n}(this.points,i),u=this.plot.pickPixelRatio*Math.max(Math.min(this.sizeMinCap,this.sizeMin),Math.min(this.sizeMax,this.sizeMax/Math.pow(s,.33333)));l[0]=2/a,l[4]=2/o,l[6]=-2*i[0]/a-1,l[7]=-2*i[1]/o-1,this.offsetBuffer.bind(),r.bind(),r.attributes.position.pointer(),r.uniforms.matrix=l,r.uniforms.color=this.color,r.uniforms.borderColor=this.borderColor,r.uniforms.pointCloud=u<5,r.uniforms.pointSize=u,r.uniforms.centerFraction=Math.min(1,Math.max(0,Math.sqrt(1-this.areaRatio))),e&&(c[0]=255&t,c[1]=t>>8&255,c[2]=t>>16&255,c[3]=t>>24&255,this.pickBuffer.bind(),r.attributes.pickId.pointer(n.UNSIGNED_BYTE),r.uniforms.pickOffset=c,this.pickOffset=t);var f=n.getParameter(n.BLEND),h=n.getParameter(n.DITHER);return f&&!this.blend&&n.disable(n.BLEND),h&&n.disable(n.DITHER),n.drawArrays(n.POINTS,0,this.pointCount),f&&!this.blend&&n.enable(n.BLEND),h&&n.enable(n.DITHER),t+this.pointCount}),u.draw=u.unifiedDraw,u.drawPick=u.unifiedDraw,u.pick=function(t,e,r){var n=this.pickOffset,i=this.pointCount;if(r<n||r>=n+i)return null;var a=r-n,o=this.points;return{object:this,pointId:a,dataCoord:[o[2*a],o[2*a+1]]}}},{\\\"./lib/shader\\\":319,\\\"gl-buffer\\\":259,\\\"gl-shader\\\":331,\\\"typedarray-pool\\\":609}],321:[function(t,e,r){e.exports=function(t,e,r,n){var i,a,o,s,l,c=e[0],u=e[1],f=e[2],h=e[3],p=r[0],d=r[1],m=r[2],g=r[3];(a=c*p+u*d+f*m+h*g)<0&&(a=-a,p=-p,d=-d,m=-m,g=-g);1-a>1e-6?(i=Math.acos(a),o=Math.sin(i),s=Math.sin((1-n)*i)/o,l=Math.sin(n*i)/o):(s=1-n,l=n);return t[0]=s*c+l*p,t[1]=s*u+l*d,t[2]=s*f+l*m,t[3]=s*h+l*g,t}},{}],322:[function(t,e,r){\\\"use strict\\\";e.exports=function(t){return t||0===t?t.toString():\\\"\\\"}},{}],323:[function(t,e,r){\\\"use strict\\\";var n=t(\\\"vectorize-text\\\");e.exports=function(t,e,r){var a=i[e];a||(a=i[e]={});if(t in a)return a[t];var o={textAlign:\\\"center\\\",textBaseline:\\\"middle\\\",lineHeight:1,font:e,lineSpacing:1.25,styletags:{breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},triangles:!0},s=n(t,o);o.triangles=!1;var l,c,u=n(t,o);if(r&&1!==r){for(l=0;l<s.positions.length;++l)for(c=0;c<s.positions[l].length;++c)s.positions[l][c]/=r;for(l=0;l<u.positions.length;++l)for(c=0;c<u.positions[l].length;++c)u.positions[l][c]/=r}var f=[[1/0,1/0],[-1/0,-1/0]],h=u.positions.length;for(l=0;l<h;++l){var p=u.positions[l];for(c=0;c<2;++c)f[0][c]=Math.min(f[0][c],p[c]),f[1][c]=Math.max(f[1][c],p[c])}return a[t]=[s,u,f]};var i={}},{\\\"vectorize-text\\\":615}],324:[function(t,e,r){var n=t(\\\"gl-shader\\\"),i=t(\\\"glslify\\\"),a=i([\\\"precision highp float;\\\\n#define GLSLIFY 1\\\\n\\\\nbool outOfRange(float a, float b, float p) {\\\\n  return ((p > max(a, b)) || \\\\n          (p < min(a, b)));\\\\n}\\\\n\\\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\\\n  return (outOfRange(a.x, b.x, p.x) ||\\\\n          outOfRange(a.y, b.y, p.y));\\\\n}\\\\n\\\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\\\n  return (outOfRange(a.x, b.x, p.x) ||\\\\n          outOfRange(a.y, b.y, p.y) ||\\\\n          outOfRange(a.z, b.z, p.z));\\\\n}\\\\n\\\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\\\n}\\\\n\\\\nattribute vec3 position;\\\\nattribute vec4 color;\\\\nattribute vec2 glyph;\\\\nattribute vec4 id;\\\\n\\\\nuniform vec4 highlightId;\\\\nuniform float highlightScale;\\\\nuniform mat4 model, view, projection;\\\\nuniform vec3 clipBounds[2];\\\\n\\\\nvarying vec4 interpColor;\\\\nvarying vec4 pickId;\\\\nvarying vec3 dataCoordinate;\\\\n\\\\nvoid main() {\\\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\\\n\\\\n    gl_Position = vec4(0,0,0,0);\\\\n  } else {\\\\n    float scale = 1.0;\\\\n    if(distance(highlightId, id) < 0.0001) {\\\\n      scale = highlightScale;\\\\n    }\\\\n\\\\n    vec4 worldPosition = model * vec4(position, 1);\\\\n    vec4 viewPosition = view * worldPosition;\\\\n    viewPosition = viewPosition / viewPosition.w;\\\\n    vec4 clipPosition = projection * (viewPosition + scale * vec4(glyph.x, -glyph.y, 0, 0));\\\\n\\\\n    gl_Position = clipPosition;\\\\n    interpColor = color;\\\\n    pickId = id;\\\\n    dataCoordinate = position;\\\\n  }\\\\n}\\\"]),o=i([\\\"precision highp float;\\\\n#define GLSLIFY 1\\\\n\\\\nbool outOfRange(float a, float b, float p) {\\\\n  return ((p > max(a, b)) || \\\\n          (p < min(a, b)));\\\\n}\\\\n\\\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\\\n  return (outOfRange(a.x, b.x, p.x) ||\\\\n          outOfRange(a.y, b.y, p.y));\\\\n}\\\\n\\\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\\\n  return (outOfRange(a.x, b.x, p.x) ||\\\\n          outOfRange(a.y, b.y, p.y) ||\\\\n          outOfRange(a.z, b.z, p.z));\\\\n}\\\\n\\\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\\\n}\\\\n\\\\nattribute vec3 position;\\\\nattribute vec4 color;\\\\nattribute vec2 glyph;\\\\nattribute vec4 id;\\\\n\\\\nuniform mat4 model, view, projection;\\\\nuniform vec2 screenSize;\\\\nuniform vec3 clipBounds[2];\\\\nuniform float highlightScale, pixelRatio;\\\\nuniform vec4 highlightId;\\\\n\\\\nvarying vec4 interpColor;\\\\nvarying vec4 pickId;\\\\nvarying vec3 dataCoordinate;\\\\n\\\\nvoid main() {\\\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\\\n\\\\n    gl_Position = vec4(0,0,0,0);\\\\n  } else {\\\\n    float scale = pixelRatio;\\\\n    if(distance(highlightId.bgr, id.bgr) < 0.001) {\\\\n      scale *= highlightScale;\\\\n    }\\\\n\\\\n    vec4 worldPosition = model * vec4(position, 1.0);\\\\n    vec4 viewPosition = view * worldPosition;\\\\n    vec4 clipPosition = projection * viewPosition;\\\\n    clipPosition /= clipPosition.w;\\\\n\\\\n    gl_Position = clipPosition + vec4(screenSize * scale * vec2(glyph.x, -glyph.y), 0.0, 0.0);\\\\n    interpColor = color;\\\\n    pickId = id;\\\\n    dataCoordinate = position;\\\\n  }\\\\n}\\\"]),s=i([\\\"precision highp float;\\\\n#define GLSLIFY 1\\\\n\\\\nbool outOfRange(float a, float b, float p) {\\\\n  return ((p > max(a, b)) || \\\\n          (p < min(a, b)));\\\\n}\\\\n\\\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\\\n  return (outOfRange(a.x, b.x, p.x) ||\\\\n          outOfRange(a.y, b.y, p.y));\\\\n}\\\\n\\\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\\\n  return (outOfRange(a.x, b.x, p.x) ||\\\\n          outOfRange(a.y, b.y, p.y) ||\\\\n          outOfRange(a.z, b.z, p.z));\\\\n}\\\\n\\\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\\\n}\\\\n\\\\nattribute vec3 position;\\\\nattribute vec4 color;\\\\nattribute vec2 glyph;\\\\nattribute vec4 id;\\\\n\\\\nuniform float highlightScale;\\\\nuniform vec4 highlightId;\\\\nuniform vec3 axes[2];\\\\nuniform mat4 model, view, projection;\\\\nuniform vec2 screenSize;\\\\nuniform vec3 clipBounds[2];\\\\nuniform float scale, pixelRatio;\\\\n\\\\nvarying vec4 interpColor;\\\\nvarying vec4 pickId;\\\\nvarying vec3 dataCoordinate;\\\\n\\\\nvoid main() {\\\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\\\n\\\\n    gl_Position = vec4(0,0,0,0);\\\\n  } else {\\\\n    float lscale = pixelRatio * scale;\\\\n    if(distance(highlightId, id) < 0.0001) {\\\\n      lscale *= highlightScale;\\\\n    }\\\\n\\\\n    vec4 clipCenter   = projection * view * model * vec4(position, 1);\\\\n    vec3 dataPosition = position + 0.5*lscale*(axes[0] * glyph.x + axes[1] * glyph.y) * clipCenter.w * screenSize.y;\\\\n    vec4 clipPosition = projection * view * model * vec4(dataPosition, 1);\\\\n\\\\n    gl_Position = clipPosition;\\\\n    interpColor = color;\\\\n    pickId = id;\\\\n    dataCoordinate = dataPosition;\\\\n  }\\\\n}\\\\n\\\"]),l=i([\\\"precision highp float;\\\\n#define GLSLIFY 1\\\\n\\\\nbool outOfRange(float a, float b, float p) {\\\\n  return ((p > max(a, b)) || \\\\n          (p < min(a, b)));\\\\n}\\\\n\\\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\\\n  return (outOfRange(a.x, b.x, p.x) ||\\\\n          outOfRange(a.y, b.y, p.y));\\\\n}\\\\n\\\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\\\n  return (outOfRange(a.x, b.x, p.x) ||\\\\n          outOfRange(a.y, b.y, p.y) ||\\\\n          outOfRange(a.z, b.z, p.z));\\\\n}\\\\n\\\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\\\n}\\\\n\\\\nuniform vec3 fragClipBounds[2];\\\\nuniform float opacity;\\\\n\\\\nvarying vec4 interpColor;\\\\nvarying vec3 dataCoordinate;\\\\n\\\\nvoid main() {\\\\n  if (\\\\n    outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate) ||\\\\n    interpColor.a * opacity == 0.\\\\n  ) discard;\\\\n  gl_FragColor = interpColor * opacity;\\\\n}\\\\n\\\"]),c=i([\\\"precision highp float;\\\\n#define GLSLIFY 1\\\\n\\\\nbool outOfRange(float a, float b, float p) {\\\\n  return ((p > max(a, b)) || \\\\n          (p < min(a, b)));\\\\n}\\\\n\\\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\\\n  return (outOfRange(a.x, b.x, p.x) ||\\\\n          outOfRange(a.y, b.y, p.y));\\\\n}\\\\n\\\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\\\n  return (outOfRange(a.x, b.x, p.x) ||\\\\n          outOfRange(a.y, b.y, p.y) ||\\\\n          outOfRange(a.z, b.z, p.z));\\\\n}\\\\n\\\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\\\n}\\\\n\\\\nuniform vec3 fragClipBounds[2];\\\\nuniform float pickGroup;\\\\n\\\\nvarying vec4 pickId;\\\\nvarying vec3 dataCoordinate;\\\\n\\\\nvoid main() {\\\\n  if (outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate)) discard;\\\\n\\\\n  gl_FragColor = vec4(pickGroup, pickId.bgr);\\\\n}\\\"]),u=[{name:\\\"position\\\",type:\\\"vec3\\\"},{name:\\\"color\\\",type:\\\"vec4\\\"},{name:\\\"glyph\\\",type:\\\"vec2\\\"},{name:\\\"id\\\",type:\\\"vec4\\\"}],f={vertex:a,fragment:l,attributes:u},h={vertex:o,fragment:l,attributes:u},p={vertex:s,fragment:l,attributes:u},d={vertex:a,fragment:c,attributes:u},m={vertex:o,fragment:c,attributes:u},g={vertex:s,fragment:c,attributes:u};function v(t,e){var r=n(t,e),i=r.attributes;return i.position.location=0,i.color.location=1,i.glyph.location=2,i.id.location=3,r}r.createPerspective=function(t){return v(t,f)},r.createOrtho=function(t){return v(t,h)},r.createProject=function(t){return v(t,p)},r.createPickPerspective=function(t){return v(t,d)},r.createPickOrtho=function(t){return v(t,m)},r.createPickProject=function(t){return v(t,g)}},{\\\"gl-shader\\\":331,glslify:325}],325:[function(t,e,r){arguments[4][257][0].apply(r,arguments)},{dup:257}],326:[function(t,e,r){\\\"use strict\\\";var n=t(\\\"is-string-blank\\\"),i=t(\\\"gl-buffer\\\"),a=t(\\\"gl-vao\\\"),o=t(\\\"typedarray-pool\\\"),s=t(\\\"gl-mat4/multiply\\\"),l=t(\\\"./lib/shaders\\\"),c=t(\\\"./lib/glyphs\\\"),u=t(\\\"./lib/get-simple-string\\\"),f=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function h(t,e){var r=t[0],n=t[1],i=t[2],a=t[3];return t[0]=e[0]*r+e[4]*n+e[8]*i+e[12]*a,t[1]=e[1]*r+e[5]*n+e[9]*i+e[13]*a,t[2]=e[2]*r+e[6]*n+e[10]*i+e[14]*a,t[3]=e[3]*r+e[7]*n+e[11]*i+e[15]*a,t}function p(t,e,r,n){return h(n,n),h(n,n),h(n,n)}function d(t,e){this.index=t,this.dataCoordinate=this.position=e}function m(t){return!0===t||t>1?1:t}function g(t,e,r,n,i,a,o,s,l,c,u,f){this.gl=t,this.pixelRatio=1,this.shader=e,this.orthoShader=r,this.projectShader=n,this.pointBuffer=i,this.colorBuffer=a,this.glyphBuffer=o,this.idBuffer=s,this.vao=l,this.vertexCount=0,this.lineVertexCount=0,this.opacity=1,this.hasAlpha=!1,this.lineWidth=0,this.projectScale=[2/3,2/3,2/3],this.projectOpacity=[1,1,1],this.projectHasAlpha=!1,this.pickId=0,this.pickPerspectiveShader=c,this.pickOrthoShader=u,this.pickProjectShader=f,this.points=[],this._selectResult=new d(0,[0,0,0]),this.useOrtho=!0,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.axesProject=[!0,!0,!0],this.axesBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.highlightId=[1,1,1,1],this.highlightScale=2,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.dirty=!0}e.exports=function(t){var e=t.gl,r=l.createPerspective(e),n=l.createOrtho(e),o=l.createProject(e),s=l.createPickPerspective(e),c=l.createPickOrtho(e),u=l.createPickProject(e),f=i(e),h=i(e),p=i(e),d=i(e),m=a(e,[{buffer:f,size:3,type:e.FLOAT},{buffer:h,size:4,type:e.FLOAT},{buffer:p,size:2,type:e.FLOAT},{buffer:d,size:4,type:e.UNSIGNED_BYTE,normalized:!0}]),v=new g(e,r,n,o,f,h,p,d,m,s,c,u);return v.update(t),v};var v=g.prototype;v.pickSlots=1,v.setPickBase=function(t){this.pickId=t},v.isTransparent=function(){if(this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&this.projectHasAlpha)return!0;return!1},v.isOpaque=function(){if(!this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&!this.projectHasAlpha)return!0;return!1};var y=[0,0],x=[0,0,0],b=[0,0,0],_=[0,0,0,1],w=[0,0,0,1],T=f.slice(),k=[0,0,0],M=[[0,0,0],[0,0,0]];function A(t){return t[0]=t[1]=t[2]=0,t}function S(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=1,t}function E(t,e,r,n){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[r]=n,t}function L(t,e,r,n){var i,a=e.axesProject,o=e.gl,l=t.uniforms,c=r.model||f,u=r.view||f,h=r.projection||f,d=e.axesBounds,m=function(t){for(var e=M,r=0;r<2;++r)for(var n=0;n<3;++n)e[r][n]=Math.max(Math.min(t[r][n],1e8),-1e8);return e}(e.clipBounds);i=e.axes&&e.axes.lastCubeProps?e.axes.lastCubeProps.axis:[1,1,1],y[0]=2/o.drawingBufferWidth,y[1]=2/o.drawingBufferHeight,t.bind(),l.view=u,l.projection=h,l.screenSize=y,l.highlightId=e.highlightId,l.highlightScale=e.highlightScale,l.clipBounds=m,l.pickGroup=e.pickId/255,l.pixelRatio=n;for(var g=0;g<3;++g)if(a[g]){l.scale=e.projectScale[g],l.opacity=e.projectOpacity[g];for(var v=T,L=0;L<16;++L)v[L]=0;for(L=0;L<4;++L)v[5*L]=1;v[5*g]=0,i[g]<0?v[12+g]=d[0][g]:v[12+g]=d[1][g],s(v,c,v),l.model=v;var C=(g+1)%3,P=(g+2)%3,I=A(x),O=A(b);I[C]=1,O[P]=1;var z=p(0,0,0,S(_,I)),D=p(0,0,0,S(w,O));if(Math.abs(z[1])>Math.abs(D[1])){var R=z;z=D,D=R,R=I,I=O,O=R;var F=C;C=P,P=F}z[0]<0&&(I[C]=-1),D[1]>0&&(O[P]=-1);var B=0,N=0;for(L=0;L<4;++L)B+=Math.pow(c[4*C+L],2),N+=Math.pow(c[4*P+L],2);I[C]/=Math.sqrt(B),O[P]/=Math.sqrt(N),l.axes[0]=I,l.axes[1]=O,l.fragClipBounds[0]=E(k,m[0],g,-1e8),l.fragClipBounds[1]=E(k,m[1],g,1e8),e.vao.bind(),e.vao.draw(o.TRIANGLES,e.vertexCount),e.lineWidth>0&&(o.lineWidth(e.lineWidth*n),e.vao.draw(o.LINES,e.lineVertexCount,e.vertexCount)),e.vao.unbind()}}var C=[[-1e8,-1e8,-1e8],[1e8,1e8,1e8]];function P(t,e,r,n,i,a,o){var s=r.gl;if((a===r.projectHasAlpha||o)&&L(e,r,n,i),a===r.hasAlpha||o){t.bind();var l=t.uniforms;l.model=n.model||f,l.view=n.view||f,l.projection=n.projection||f,y[0]=2/s.drawingBufferWidth,y[1]=2/s.drawingBufferHeight,l.screenSize=y,l.highlightId=r.highlightId,l.highlightScale=r.highlightScale,l.fragClipBounds=C,l.clipBounds=r.axes.bounds,l.opacity=r.opacity,l.pickGroup=r.pickId/255,l.pixelRatio=i,r.vao.bind(),r.vao.draw(s.TRIANGLES,r.vertexCount),r.lineWidth>0&&(s.lineWidth(r.lineWidth*i),r.vao.draw(s.LINES,r.lineVertexCount,r.vertexCount)),r.vao.unbind()}}function I(t,e,r,i){var a;a=Array.isArray(t)?e<t.length?t[e]:void 0:t,a=u(a);var o=!0;n(a)&&(a=\\\"\\\\u25bc\\\",o=!1);var s=c(a,r,i);return{mesh:s[0],lines:s[1],bounds:s[2],visible:o}}v.draw=function(t){P(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,this.pixelRatio,!1,!1)},v.drawTransparent=function(t){P(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,this.pixelRatio,!0,!1)},v.drawPick=function(t){P(this.useOrtho?this.pickOrthoShader:this.pickPerspectiveShader,this.pickProjectShader,this,t,1,!0,!0)},v.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[2]+(t.value[1]<<8)+(t.value[0]<<16);if(e>=this.pointCount||e<0)return null;var r=this.points[e],n=this._selectResult;n.index=e;for(var i=0;i<3;++i)n.position[i]=n.dataCoordinate[i]=r[i];return n},v.highlight=function(t){if(t){var e=t.index,r=255&e,n=e>>8&255,i=e>>16&255;this.highlightId=[r/255,n/255,i/255,0]}else this.highlightId=[1,1,1,1]},v.update=function(t){if(\\\"perspective\\\"in(t=t||{})&&(this.useOrtho=!t.perspective),\\\"orthographic\\\"in t&&(this.useOrtho=!!t.orthographic),\\\"lineWidth\\\"in t&&(this.lineWidth=t.lineWidth),\\\"project\\\"in t)if(Array.isArray(t.project))this.axesProject=t.project;else{var e=!!t.project;this.axesProject=[e,e,e]}if(\\\"projectScale\\\"in t)if(Array.isArray(t.projectScale))this.projectScale=t.projectScale.slice();else{var r=+t.projectScale;this.projectScale=[r,r,r]}if(this.projectHasAlpha=!1,\\\"projectOpacity\\\"in t){if(Array.isArray(t.projectOpacity))this.projectOpacity=t.projectOpacity.slice();else{r=+t.projectOpacity;this.projectOpacity=[r,r,r]}for(var n=0;n<3;++n)this.projectOpacity[n]=m(this.projectOpacity[n]),this.projectOpacity[n]<1&&(this.projectHasAlpha=!0)}this.hasAlpha=!1,\\\"opacity\\\"in t&&(this.opacity=m(t.opacity),this.opacity<1&&(this.hasAlpha=!0)),this.dirty=!0;var i,a,s=t.position,l=t.font||\\\"normal\\\",c=t.alignment||[0,0];if(2===c.length)i=c[0],a=c[1];else{i=[],a=[];for(n=0;n<c.length;++n)i[n]=c[n][0],a[n]=c[n][1]}var u=[1/0,1/0,1/0],f=[-1/0,-1/0,-1/0],h=t.glyph,p=t.color,d=t.size,g=t.angle,v=t.lineColor,y=-1,x=0,b=0,_=0;if(s.length){_=s.length;t:for(n=0;n<_;++n){for(var w=s[n],T=0;T<3;++T)if(isNaN(w[T])||!isFinite(w[T]))continue t;var k=(N=I(h,n,l,this.pixelRatio)).mesh,M=N.lines,A=N.bounds;x+=3*k.cells.length,b+=2*M.edges.length}}var S=x+b,E=o.mallocFloat(3*S),L=o.mallocFloat(4*S),C=o.mallocFloat(2*S),P=o.mallocUint32(S);if(S>0){var O=0,z=x,D=[0,0,0,1],R=[0,0,0,1],F=Array.isArray(p)&&Array.isArray(p[0]),B=Array.isArray(v)&&Array.isArray(v[0]);t:for(n=0;n<_;++n){y+=1;for(w=s[n],T=0;T<3;++T){if(isNaN(w[T])||!isFinite(w[T]))continue t;f[T]=Math.max(f[T],w[T]),u[T]=Math.min(u[T],w[T])}k=(N=I(h,n,l,this.pixelRatio)).mesh,M=N.lines,A=N.bounds;var N,j=N.visible;if(j)if(Array.isArray(p)){if(3===(U=F?n<p.length?p[n]:[0,0,0,0]:p).length){for(T=0;T<3;++T)D[T]=U[T];D[3]=1}else if(4===U.length){for(T=0;T<4;++T)D[T]=U[T];!this.hasAlpha&&U[3]<1&&(this.hasAlpha=!0)}}else D[0]=D[1]=D[2]=0,D[3]=1;else 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tt=J[K[Q]];C[2*O]=V*(H*tt[0]-G*tt[1]+X[0]),C[2*O+1]=V*(G*tt[0]+H*tt[1]+X[1]),O+=1}for(Z=M.edges,J=M.positions,T=0;T<Z.length;++T)for(K=Z[T],Q=0;Q<2;++Q){for($=0;$<3;++$)E[3*z+$]=w[$];for($=0;$<4;++$)L[4*z+$]=R[$];P[z]=y;tt=J[K[Q]];C[2*z]=V*(H*tt[0]-G*tt[1]+X[0]),C[2*z+1]=V*(G*tt[0]+H*tt[1]+X[1]),z+=1}}}this.bounds=[u,f],this.points=s,this.pointCount=s.length,this.vertexCount=x,this.lineVertexCount=b,this.pointBuffer.update(E),this.colorBuffer.update(L),this.glyphBuffer.update(C),this.idBuffer.update(P),o.free(E),o.free(L),o.free(C),o.free(P)},v.dispose=function(){this.shader.dispose(),this.orthoShader.dispose(),this.pickPerspectiveShader.dispose(),this.pickOrthoShader.dispose(),this.vao.dispose(),this.pointBuffer.dispose(),this.colorBuffer.dispose(),this.glyphBuffer.dispose(),this.idBuffer.dispose()}},{\\\"./lib/get-simple-string\\\":322,\\\"./lib/glyphs\\\":323,\\\"./lib/shaders\\\":324,\\\"gl-buffer\\\":259,\\\"gl-mat4/multiply\\\":293,\\\"gl-vao\\\":353,\\\"is-string-blank\\\":450,\\\"typedarray-pool\\\":609}],327:[function(t,e,r){\\\"use strict\\\";var n=t(\\\"glslify\\\");r.boxVertex=n([\\\"precision mediump float;\\\\n#define GLSLIFY 1\\\\n\\\\nattribute vec2 vertex;\\\\n\\\\nuniform vec2 cornerA, cornerB;\\\\n\\\\nvoid main() {\\\\n  gl_Position = vec4(mix(cornerA, cornerB, vertex), 0, 1);\\\\n}\\\\n\\\"]),r.boxFragment=n([\\\"precision mediump float;\\\\n#define GLSLIFY 1\\\\n\\\\nuniform vec4 color;\\\\n\\\\nvoid main() {\\\\n  gl_FragColor = color;\\\\n}\\\\n\\\"])},{glslify:328}],328:[function(t,e,r){arguments[4][257][0].apply(r,arguments)},{dup:257}],329:[function(t,e,r){\\\"use strict\\\";var n=t(\\\"gl-shader\\\"),i=t(\\\"gl-buffer\\\"),a=t(\\\"./lib/shaders\\\");function o(t,e,r){this.plot=t,this.boxBuffer=e,this.boxShader=r,this.enabled=!0,this.selectBox=[1/0,1/0,-1/0,-1/0],this.borderColor=[0,0,0,1],this.innerFill=!1,this.innerColor=[0,0,0,.25],this.outerFill=!0,this.outerColor=[0,0,0,.5],this.borderWidth=10}e.exports=function(t,e){var r=t.gl,s=i(r,[0,0,0,1,1,0,1,1]),l=n(r,a.boxVertex,a.boxFragment),c=new o(t,s,l);return c.update(e),t.addOverlay(c),c};var s=o.prototype;s.draw=function(){if(this.enabled){var t=this.plot,e=this.selectBox,r=this.borderWidth,n=(this.innerFill,this.innerColor),i=(this.outerFill,this.outerColor),a=this.borderColor,o=t.box,s=t.screenBox,l=t.dataBox,c=t.viewBox,u=t.pixelRatio,f=(e[0]-l[0])*(c[2]-c[0])/(l[2]-l[0])+c[0],h=(e[1]-l[1])*(c[3]-c[1])/(l[3]-l[1])+c[1],p=(e[2]-l[0])*(c[2]-c[0])/(l[2]-l[0])+c[0],d=(e[3]-l[1])*(c[3]-c[1])/(l[3]-l[1])+c[1];if(f=Math.max(f,c[0]),h=Math.max(h,c[1]),p=Math.min(p,c[2]),d=Math.min(d,c[3]),!(p<f||d<h)){o.bind();var m=s[2]-s[0],g=s[3]-s[1];if(this.outerFill&&(o.drawBox(0,0,m,h,i),o.drawBox(0,h,f,d,i),o.drawBox(0,d,m,g,i),o.drawBox(p,h,m,d,i)),this.innerFill&&o.drawBox(f,h,p,d,n),r>0){var v=r*u;o.drawBox(f-v,h-v,p+v,h+v,a),o.drawBox(f-v,d-v,p+v,d+v,a),o.drawBox(f-v,h-v,f+v,d+v,a),o.drawBox(p-v,h-v,p+v,d+v,a)}}}},s.update=function(t){t=t||{},this.innerFill=!!t.innerFill,this.outerFill=!!t.outerFill,this.innerColor=(t.innerColor||[0,0,0,.5]).slice(),this.outerColor=(t.outerColor||[0,0,0,.5]).slice(),this.borderColor=(t.borderColor||[0,0,0,1]).slice(),this.borderWidth=t.borderWidth||0,this.selectBox=(t.selectBox||this.selectBox).slice()},s.dispose=function(){this.boxBuffer.dispose(),this.boxShader.dispose(),this.plot.removeOverlay(this)}},{\\\"./lib/shaders\\\":327,\\\"gl-buffer\\\":259,\\\"gl-shader\\\":331}],330:[function(t,e,r){\\\"use strict\\\";e.exports=function(t,e){var r=e[0],a=e[1],o=n(t,r,a,{}),s=i.mallocUint8(r*a*4);return new l(t,o,s)};var n=t(\\\"gl-fbo\\\"),i=t(\\\"typedarray-pool\\\"),a=t(\\\"ndarray\\\"),o=t(\\\"bit-twiddle\\\").nextPow2;function s(t,e,r,n,i){this.coord=[t,e],this.id=r,this.value=n,this.distance=i}function 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i=0|Math.min(Math.max(t-r,0),n[0]),o=0|Math.min(Math.max(t+r,0),n[0]),l=0|Math.min(Math.max(e-r,0),n[1]),c=0|Math.min(Math.max(e+r,0),n[1]);if(o<=i||c<=l)return null;var u=[o-i,c-l],f=a(this.buffer,[u[0],u[1],4],[4,4*n[0],1],4*(i+n[0]*l)),h=function(t,e,r){for(var n=1e8,i=-1,a=-1,o=t.shape[0],s=t.shape[1],l=0;l<o;l++)for(var c=0;c<s;c++){var u=t.get(l,c,0),f=t.get(l,c,1),h=t.get(l,c,2),p=t.get(l,c,3);if(u<255||f<255||h<255||p<255){var d=e-l,m=r-c,g=d*d+m*m;g<n&&(n=g,i=l,a=c)}}return[i,a,n]}(f.hi(u[0],u[1],1),r,r),p=h[0],d=h[1];return p<0||Math.pow(this.radius,2)<h[2]?null:new s(p+i|0,d+l|0,f.get(p,d,0),[f.get(p,d,1),f.get(p,d,2),f.get(p,d,3)],Math.sqrt(h[2]))},c.dispose=function(){this.gl&&(this.fbo.dispose(),i.free(this.buffer),this.gl=null,this._readTimeout&&clearTimeout(this._readTimeout))}},{\\\"bit-twiddle\\\":100,\\\"gl-fbo\\\":268,ndarray:475,\\\"typedarray-pool\\\":609}],331:[function(t,e,r){\\\"use strict\\\";var n=t(\\\"./lib/create-uniforms\\\"),i=t(\\\"./lib/create-attributes\\\"),a=t(\\\"./lib/reflect\\\"),o=t(\\\"./lib/shader-cache\\\"),s=t(\\\"./lib/runtime-reflect\\\"),l=t(\\\"./lib/GLError\\\");function c(t){this.gl=t,this.gl.lastAttribCount=0,this._vref=this._fref=this._relink=this.vertShader=this.fragShader=this.program=this.attributes=this.uniforms=this.types=null}var u=c.prototype;function f(t,e){return t.name<e.name?-1:1}u.bind=function(){var t;this.program||this._relink();var e=this.gl.getProgramParameter(this.program,this.gl.ACTIVE_ATTRIBUTES),r=this.gl.lastAttribCount;if(e>r)for(t=r;t<e;t++)this.gl.enableVertexAttribArray(t);else if(r>e)for(t=e;t<r;t++)this.gl.disableVertexAttribArray(t);this.gl.lastAttribCount=e,this.gl.useProgram(this.program)},u.dispose=function(){for(var t=this.gl.lastAttribCount,e=0;e<t;e++)this.gl.disableVertexAttribArray(e);this.gl.lastAttribCount=0,this._fref&&this._fref.dispose(),this._vref&&this._vref.dispose(),this.attributes=this.types=this.vertShader=this.fragShader=this.program=this._relink=this._fref=this._vref=null},u.update=function(t,e,r,c){if(!e||1===arguments.length){var u=t;t=u.vertex,e=u.fragment,r=u.uniforms,c=u.attributes}var h=this,p=h.gl,d=h._vref;h._vref=o.shader(p,p.VERTEX_SHADER,t),d&&d.dispose(),h.vertShader=h._vref.shader;var m=this._fref;if(h._fref=o.shader(p,p.FRAGMENT_SHADER,e),m&&m.dispose(),h.fragShader=h._fref.shader,!r||!c){var g=p.createProgram();if(p.attachShader(g,h.fragShader),p.attachShader(g,h.vertShader),p.linkProgram(g),!p.getProgramParameter(g,p.LINK_STATUS)){var v=p.getProgramInfoLog(g);throw new l(v,\\\"Error linking program:\\\"+v)}r=r||s.uniforms(p,g),c=c||s.attributes(p,g),p.deleteProgram(g)}(c=c.slice()).sort(f);var y,x=[],b=[],_=[];for(y=0;y<c.length;++y){var w=c[y];if(w.type.indexOf(\\\"mat\\\")>=0){for(var T=0|w.type.charAt(w.type.length-1),k=new Array(T),M=0;M<T;++M)k[M]=_.length,b.push(w.name+\\\"[\\\"+M+\\\"]\\\"),\\\"number\\\"==typeof w.location?_.push(w.location+M):Array.isArray(w.location)&&w.location.length===T&&\\\"number\\\"==typeof w.location[M]?_.push(0|w.location[M]):_.push(-1);x.push({name:w.name,type:w.type,locations:k})}else x.push({name:w.name,type:w.type,locations:[_.length]}),b.push(w.name),\\\"number\\\"==typeof w.location?_.push(0|w.location):_.push(-1)}var A=0;for(y=0;y<_.length;++y)if(_[y]<0){for(;_.indexOf(A)>=0;)A+=1;_[y]=A}var S=new Array(r.length);function E(){h.program=o.program(p,h._vref,h._fref,b,_);for(var t=0;t<r.length;++t)S[t]=p.getUniformLocation(h.program,r[t].name)}E(),h._relink=E,h.types={uniforms:a(r),attributes:a(c)},h.attributes=i(p,h,x,_),Object.defineProperty(h,\\\"uniforms\\\",n(p,h,r,S))},e.exports=function(t,e,r,n,i){var a=new c(t);return a.update(e,r,n,i),a}},{\\\"./lib/GLError\\\":332,\\\"./lib/create-attributes\\\":333,\\\"./lib/create-uniforms\\\":334,\\\"./lib/reflect\\\":335,\\\"./lib/runtime-reflect\\\":336,\\\"./lib/shader-cache\\\":337}],332:[function(t,e,r){function n(t,e,r){this.shortMessage=e||\\\"\\\",this.longMessage=r||\\\"\\\",this.rawError=t||\\\"\\\",this.message=\\\"gl-shader: \\\"+(e||t||\\\"\\\")+(r?\\\"\\\\n\\\"+r:\\\"\\\"),this.stack=(new Error).stack}n.prototype=new Error,n.prototype.name=\\\"GLError\\\",n.prototype.constructor=n,e.exports=n},{}],333:[function(t,e,r){\\\"use strict\\\";e.exports=function(t,e,r,i){for(var a={},l=0,c=r.length;l<c;++l){var u=r[l],f=u.name,h=u.type,p=u.locations;switch(h){case\\\"bool\\\":case\\\"int\\\":case\\\"float\\\":o(t,e,p[0],i,1,a,f);break;default:if(h.indexOf(\\\"vec\\\")>=0){if((d=h.charCodeAt(h.length-1)-48)<2||d>4)throw new n(\\\"\\\",\\\"Invalid data type for attribute \\\"+f+\\\": \\\"+h);o(t,e,p[0],i,d,a,f)}else{if(!(h.indexOf(\\\"mat\\\")>=0))throw 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l=s[0]+(n[0]-o[0])/(o[2]-o[0])*(s[2]-s[0]),c=s[1]+(n[1]-o[1])/(o[3]-o[1])*(s[3]-s[1]);t[0]&&a.drawLine(l,c,s[0],c,e[0],r[0]),t[1]&&a.drawLine(l,c,l,s[1],e[1],r[1]),t[2]&&a.drawLine(l,c,s[2],c,e[2],r[2]),t[3]&&a.drawLine(l,c,l,s[3],e[3],r[3])}},i.dispose=function(){this.plot.removeOverlay(this)}},{}],339:[function(t,e,r){arguments[4][257][0].apply(r,arguments)},{dup:257}],340:[function(t,e,r){\\\"use strict\\\";var n=t(\\\"glslify\\\"),i=t(\\\"gl-shader\\\"),a=n([\\\"precision mediump float;\\\\n#define GLSLIFY 1\\\\n\\\\nattribute vec3 position, color;\\\\nattribute float weight;\\\\n\\\\nuniform mat4 model, view, projection;\\\\nuniform vec3 coordinates[3];\\\\nuniform vec4 colors[3];\\\\nuniform vec2 screenShape;\\\\nuniform float lineWidth;\\\\n\\\\nvarying vec4 fragColor;\\\\n\\\\nvoid main() {\\\\n  vec3 vertexPosition = mix(coordinates[0],\\\\n    mix(coordinates[2], coordinates[1], 0.5 * (position + 1.0)), abs(position));\\\\n\\\\n  vec4 clipPos = projection * view * model * 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t&&(this.colors=t.colors),\\\"enabled\\\"in t&&(this.enabled=t.enabled),\\\"drawSides\\\"in t&&(this.drawSides=t.drawSides))},l.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()}},{\\\"./shaders/index\\\":340,\\\"gl-buffer\\\":259,\\\"gl-vao\\\":353}],342:[function(t,e,r){var n=t(\\\"glslify\\\"),i=n([\\\"precision highp float;\\\\n\\\\nprecision highp float;\\\\n#define GLSLIFY 1\\\\n\\\\nvec3 getOrthogonalVector(vec3 v) {\\\\n  // Return up-vector for only-z vector.\\\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\\\n  // Assign z = 0, x = -b, y = a:\\\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\\\n    return normalize(vec3(-v.y, v.x, 0.0));\\\\n  } else {\\\\n    return normalize(vec3(0.0, v.z, -v.y));\\\\n  }\\\\n}\\\\n\\\\n// Calculate the tube vertex and normal at the given index.\\\\n//\\\\n// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\\\\n//\\\\n// Each tube segment is made up of a ring of vertices.\\\\n// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\\\\n// The indexes of tube segments run from 0 to 8.\\\\n//\\\\nvec3 getTubePosition(vec3 d, float index, out vec3 normal) {\\\\n  float segmentCount = 8.0;\\\\n\\\\n  float angle = 2.0 * 3.14159 * (index / segmentCount);\\\\n\\\\n  vec3 u = getOrthogonalVector(d);\\\\n  vec3 v = normalize(cross(u, d));\\\\n\\\\n  vec3 x = u * cos(angle) * length(d);\\\\n  vec3 y = v * sin(angle) * length(d);\\\\n  vec3 v3 = x + y;\\\\n\\\\n  normal = normalize(v3);\\\\n\\\\n  return v3;\\\\n}\\\\n\\\\nattribute vec4 vector;\\\\nattribute vec4 color, position;\\\\nattribute vec2 uv;\\\\n\\\\nuniform float vectorScale, tubeScale;\\\\nuniform mat4 model, view, projection, inverseModel;\\\\nuniform vec3 eyePosition, lightPosition;\\\\n\\\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\\\nvarying vec4 f_color;\\\\nvarying vec2 f_uv;\\\\n\\\\nvoid main() {\\\\n  // Scale the vector magnitude to stay constant with\\\\n  // model & view changes.\\\\n  vec3 normal;\\\\n  vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\\\\n  vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\\\n\\\\n  //Lighting geometry parameters\\\\n  vec4 cameraCoordinate = view * tubePosition;\\\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\\\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\\\\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\\\\n  f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\\\n\\\\n  // vec4 m_position  = model * vec4(tubePosition, 1.0);\\\\n  vec4 t_position  = view * tubePosition;\\\\n  gl_Position      = projection * t_position;\\\\n\\\\n  f_color          = color;\\\\n  f_data           = tubePosition.xyz;\\\\n  f_position       = position.xyz;\\\\n  f_uv             = uv;\\\\n}\\\\n\\\"]),a=n([\\\"#extension GL_OES_standard_derivatives : enable\\\\n\\\\nprecision highp float;\\\\n#define GLSLIFY 1\\\\n\\\\nfloat beckmannDistribution(float x, float roughness) {\\\\n  float NdotH = max(x, 0.0001);\\\\n  float cos2Alpha = NdotH * NdotH;\\\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\\\n  float roughness2 = roughness * roughness;\\\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\\\n  return exp(tan2Alpha / roughness2) / denom;\\\\n}\\\\n\\\\nfloat cookTorranceSpecular(\\\\n  vec3 lightDirection,\\\\n  vec3 viewDirection,\\\\n  vec3 surfaceNormal,\\\\n  float roughness,\\\\n  float fresnel) {\\\\n\\\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\\\n\\\\n  //Half angle vector\\\\n  vec3 H = normalize(lightDirection + viewDirection);\\\\n\\\\n  //Geometric term\\\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\\\n  float G = min(1.0, min(G1, G2));\\\\n  \\\\n  //Distribution term\\\\n  float D = beckmannDistribution(NdotH, roughness);\\\\n\\\\n  //Fresnel term\\\\n  float F = pow(1.0 - VdotN, fresnel);\\\\n\\\\n  //Multiply terms and done\\\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\\\n}\\\\n\\\\nbool outOfRange(float a, float b, float p) {\\\\n  return ((p > max(a, b)) || \\\\n          (p < min(a, b)));\\\\n}\\\\n\\\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\\\n  return (outOfRange(a.x, b.x, p.x) ||\\\\n          outOfRange(a.y, b.y, p.y));\\\\n}\\\\n\\\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\\\n  return (outOfRange(a.x, b.x, p.x) ||\\\\n          outOfRange(a.y, b.y, p.y) ||\\\\n          outOfRange(a.z, b.z, p.z));\\\\n}\\\\n\\\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\\\n}\\\\n\\\\nuniform vec3 clipBounds[2];\\\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\\\nuniform sampler2D texture;\\\\n\\\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\\\nvarying vec4 f_color;\\\\nvarying vec2 f_uv;\\\\n\\\\nvoid main() {\\\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\\\n  vec3 N = normalize(f_normal);\\\\n  vec3 L = normalize(f_lightDirection);\\\\n  vec3 V = normalize(f_eyeDirection);\\\\n\\\\n  if(gl_FrontFacing) {\\\\n    N = -N;\\\\n  }\\\\n\\\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\\\n\\\\n  vec4 surfaceColor = f_color * texture2D(texture, f_uv);\\\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\\\n\\\\n  gl_FragColor = litColor * opacity;\\\\n}\\\\n\\\"]),o=n([\\\"precision highp float;\\\\n\\\\nprecision highp float;\\\\n#define GLSLIFY 1\\\\n\\\\nvec3 getOrthogonalVector(vec3 v) {\\\\n  // Return up-vector for only-z vector.\\\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\\\n  // Assign z = 0, x = -b, y = a:\\\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\\\n    return normalize(vec3(-v.y, v.x, 0.0));\\\\n  } else {\\\\n    return normalize(vec3(0.0, v.z, -v.y));\\\\n  }\\\\n}\\\\n\\\\n// Calculate the tube vertex and normal at the given index.\\\\n//\\\\n// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\\\\n//\\\\n// Each tube segment is made up of a ring of vertices.\\\\n// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\\\\n// The indexes of tube segments run from 0 to 8.\\\\n//\\\\nvec3 getTubePosition(vec3 d, float index, out vec3 normal) {\\\\n  float segmentCount = 8.0;\\\\n\\\\n  float angle = 2.0 * 3.14159 * (index / segmentCount);\\\\n\\\\n  vec3 u = getOrthogonalVector(d);\\\\n  vec3 v = normalize(cross(u, d));\\\\n\\\\n  vec3 x = u * cos(angle) * length(d);\\\\n  vec3 y = v * sin(angle) * length(d);\\\\n  vec3 v3 = x + y;\\\\n\\\\n  normal = normalize(v3);\\\\n\\\\n  return v3;\\\\n}\\\\n\\\\nattribute vec4 vector;\\\\nattribute vec4 position;\\\\nattribute vec4 id;\\\\n\\\\nuniform mat4 model, view, projection;\\\\nuniform float tubeScale;\\\\n\\\\nvarying vec3 f_position;\\\\nvarying vec4 f_id;\\\\n\\\\nvoid main() {\\\\n  vec3 normal;\\\\n  vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\\\\n  vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\\\n\\\\n  gl_Position = projection * view * tubePosition;\\\\n  f_id        = id;\\\\n  f_position  = position.xyz;\\\\n}\\\\n\\\"]),s=n([\\\"precision highp float;\\\\n#define GLSLIFY 1\\\\n\\\\nbool outOfRange(float a, float b, float p) {\\\\n  return ((p > max(a, b)) || \\\\n          (p < min(a, b)));\\\\n}\\\\n\\\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\\\n  return (outOfRange(a.x, b.x, p.x) ||\\\\n          outOfRange(a.y, b.y, p.y));\\\\n}\\\\n\\\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\\\n  return (outOfRange(a.x, b.x, p.x) ||\\\\n          outOfRange(a.y, b.y, p.y) ||\\\\n          outOfRange(a.z, b.z, p.z));\\\\n}\\\\n\\\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\\\n}\\\\n\\\\nuniform vec3  clipBounds[2];\\\\nuniform float pickId;\\\\n\\\\nvarying vec3 f_position;\\\\nvarying vec4 f_id;\\\\n\\\\nvoid main() {\\\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\\\n\\\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\\\n}\\\"]);r.meshShader={vertex:i,fragment:a,attributes:[{name:\\\"position\\\",type:\\\"vec4\\\"},{name:\\\"color\\\",type:\\\"vec4\\\"},{name:\\\"uv\\\",type:\\\"vec2\\\"},{name:\\\"vector\\\",type:\\\"vec4\\\"}]},r.pickShader={vertex:o,fragment:s,attributes:[{name:\\\"position\\\",type:\\\"vec4\\\"},{name:\\\"id\\\",type:\\\"vec4\\\"},{name:\\\"vector\\\",type:\\\"vec4\\\"}]}},{glslify:343}],343:[function(t,e,r){arguments[4][257][0].apply(r,arguments)},{dup:257}],344:[function(t,e,r){\\\"use strict\\\";var n=t(\\\"gl-vec3\\\"),i=t(\\\"gl-vec4\\\"),a=[\\\"xyz\\\",\\\"xzy\\\",\\\"yxz\\\",\\\"yzx\\\",\\\"zxy\\\",\\\"zyx\\\"],o=function(t,e,r,a){for(var o=0,s=0;s<t.length;s++)for(var l=t[s].velocities,c=0;c<l.length;c++)o=Math.max(o,n.length(l[c]));var u=t.map((function(t){return function(t,e,r,a){for(var o=t.points,s=t.velocities,l=t.divergences,c=[],u=[],f=[],h=[],p=[],d=[],m=0,g=0,v=i.create(),y=i.create(),x=0;x<o.length;x++){var b=o[x],_=s[x],w=l[x];0===e&&(w=.05*r),g=n.length(_)/a,v=i.create(),n.copy(v,_),v[3]=w;for(var T=0;T<8;T++)p[T]=[b[0],b[1],b[2],T];if(h.length>0)for(T=0;T<8;T++){var k=(T+1)%8;c.push(h[T],p[T],p[k],p[k],h[k],h[T]),f.push(y,v,v,v,y,y),d.push(m,g,g,g,m,m);var M=c.length;u.push([M-6,M-5,M-4],[M-3,M-2,M-1])}var A=h;h=p,p=A;var S=y;y=v,v=S;var E=m;m=g,g=E}return{positions:c,cells:u,vectors:f,vertexIntensity:d}}(t,r,a,o)})),f=[],h=[],p=[],d=[];for(s=0;s<u.length;s++){var m=u[s],g=f.length;f=f.concat(m.positions),p=p.concat(m.vectors),d=d.concat(m.vertexIntensity);for(c=0;c<m.cells.length;c++){var v=m.cells[c],y=[];h.push(y);for(var x=0;x<v.length;x++)y.push(v[x]+g)}}return{positions:f,cells:h,vectors:p,vertexIntensity:d,colormap:e}},s=function(t,e){var r,n=t.length;for(r=0;r<n;r++){var i=t[r];if(i===e)return r;if(i>e)return r-1}return r},l=function(t,e,r){return t<e?e:t>r?r:t},c=function(t){var e=1/0;t.sort((function(t,e){return t-e}));for(var r=t.length,n=1;n<r;n++){var i=Math.abs(t[n]-t[n-1]);i<e&&(e=i)}return e};e.exports=function(t,e){var r=t.startingPositions,i=t.maxLength||1e3,u=t.tubeSize||1,f=t.absoluteTubeSize,h=t.gridFill||\\\"+x+y+z\\\",p={};-1!==h.indexOf(\\\"-x\\\")&&(p.reversedX=!0),-1!==h.indexOf(\\\"-y\\\")&&(p.reversedY=!0),-1!==h.indexOf(\\\"-z\\\")&&(p.reversedZ=!0),p.filled=a.indexOf(h.replace(/-/g,\\\"\\\").replace(/\\\\+/g,\\\"\\\"));var d=t.getVelocity||function(e){return function(t,e,r){var i=e.vectors,a=e.meshgrid,o=t[0],c=t[1],u=t[2],f=a[0].length,h=a[1].length,p=a[2].length,d=s(a[0],o),m=s(a[1],c),g=s(a[2],u),v=d+1,y=m+1,x=g+1;if(d=l(d,0,f-1),v=l(v,0,f-1),m=l(m,0,h-1),y=l(y,0,h-1),g=l(g,0,p-1),x=l(x,0,p-1),d<0||m<0||g<0||v>f-1||y>h-1||x>p-1)return n.create();var b,_,w,T,k,M,A=a[0][d],S=a[0][v],E=a[1][m],L=a[1][y],C=a[2][g],P=(o-A)/(S-A),I=(c-E)/(L-E),O=(u-C)/(a[2][x]-C);switch(isFinite(P)||(P=.5),isFinite(I)||(I=.5),isFinite(O)||(O=.5),r.reversedX&&(d=f-1-d,v=f-1-v),r.reversedY&&(m=h-1-m,y=h-1-y),r.reversedZ&&(g=p-1-g,x=p-1-x),r.filled){case 5:k=g,M=x,w=m*p,T=y*p,b=d*p*h,_=v*p*h;break;case 4:k=g,M=x,b=d*p,_=v*p,w=m*p*f,T=y*p*f;break;case 3:w=m,T=y,k=g*h,M=x*h,b=d*h*p,_=v*h*p;break;case 2:w=m,T=y,b=d*h,_=v*h,k=g*h*f,M=x*h*f;break;case 1:b=d,_=v,k=g*f,M=x*f,w=m*f*p,T=y*f*p;break;default:b=d,_=v,w=m*f,T=y*f,k=g*f*h,M=x*f*h}var z=i[b+w+k],D=i[b+w+M],R=i[b+T+k],F=i[b+T+M],B=i[_+w+k],N=i[_+w+M],j=i[_+T+k],U=i[_+T+M],V=n.create(),q=n.create(),H=n.create(),G=n.create();n.lerp(V,z,B,P),n.lerp(q,D,N,P),n.lerp(H,R,j,P),n.lerp(G,F,U,P);var Y=n.create(),W=n.create();n.lerp(Y,V,H,I),n.lerp(W,q,G,I);var X=n.create();return n.lerp(X,Y,W,O),X}(e,t,p)},m=t.getDivergence||function(t,e){var r=n.create(),i=1e-4;n.add(r,t,[i,0,0]);var a=d(r);n.subtract(a,a,e),n.scale(a,a,1/i),n.add(r,t,[0,i,0]);var o=d(r);n.subtract(o,o,e),n.scale(o,o,1/i),n.add(r,t,[0,0,i]);var s=d(r);return n.subtract(s,s,e),n.scale(s,s,1/i),n.add(r,a,o),n.add(r,r,s),r},g=[],v=e[0][0],y=e[0][1],x=e[0][2],b=e[1][0],_=e[1][1],w=e[1][2],T=function(t){var e=t[0],r=t[1],n=t[2];return!(e<v||e>b||r<y||r>_||n<x||n>w)},k=10*n.distance(e[0],e[1])/i,M=k*k,A=1,S=0,E=r.length;E>1&&(A=function(t){for(var e=[],r=[],n=[],i={},a={},o={},s=t.length,l=0;l<s;l++){var u=t[l],f=u[0],h=u[1],p=u[2];i[f]||(e.push(f),i[f]=!0),a[h]||(r.push(h),a[h]=!0),o[p]||(n.push(p),o[p]=!0)}var d=c(e),m=c(r),g=c(n),v=Math.min(d,m,g);return isFinite(v)?v:1}(r));for(var L=0;L<E;L++){var C=n.create();n.copy(C,r[L]);var P=[C],I=[],O=d(C),z=C;I.push(O);var D=[],R=m(C,O),F=n.length(R);isFinite(F)&&F>S&&(S=F),D.push(F),g.push({points:P,velocities:I,divergences:D});for(var B=0;B<100*i&&P.length<i&&T(C);){B++;var N=n.clone(O),j=n.squaredLength(N);if(0===j)break;if(j>M&&n.scale(N,N,k/Math.sqrt(j)),n.add(N,N,C),O=d(N),n.squaredDistance(z,N)-M>-1e-4*M){P.push(N),z=N,I.push(O);R=m(N,O),F=n.length(R);isFinite(F)&&F>S&&(S=F),D.push(F)}C=N}}var U=o(g,t.colormap,S,A);return f?U.tubeScale=f:(0===S&&(S=1),U.tubeScale=.5*u*A/S),U};var u=t(\\\"./lib/shaders\\\"),f=t(\\\"gl-cone3d\\\").createMesh;e.exports.createTubeMesh=function(t,e){return f(t,e,{shaders:u,traceType:\\\"streamtube\\\"})}},{\\\"./lib/shaders\\\":342,\\\"gl-cone3d\\\":260,\\\"gl-vec3\\\":372,\\\"gl-vec4\\\":408}],345:[function(t,e,r){var n=t(\\\"gl-shader\\\"),i=t(\\\"glslify\\\"),a=i([\\\"precision highp float;\\\\n#define GLSLIFY 1\\\\n\\\\nattribute vec4 uv;\\\\nattribute vec3 f;\\\\nattribute vec3 normal;\\\\n\\\\nuniform vec3 objectOffset;\\\\nuniform mat4 model, view, projection, inverseModel;\\\\nuniform vec3 lightPosition, eyePosition;\\\\nuniform sampler2D colormap;\\\\n\\\\nvarying float value, kill;\\\\nvarying vec3 worldCoordinate;\\\\nvarying vec2 planeCoordinate;\\\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\\\nvarying vec4 vColor;\\\\n\\\\nvoid main() {\\\\n  vec3 localCoordinate = vec3(uv.zw, f.x);\\\\n  worldCoordinate = objectOffset + localCoordinate;\\\\n  vec4 worldPosition = model * vec4(worldCoordinate, 1.0);\\\\n  vec4 clipPosition = projection * view * worldPosition;\\\\n  gl_Position = clipPosition;\\\\n  kill = f.y;\\\\n  value = f.z;\\\\n  planeCoordinate = uv.xy;\\\\n\\\\n  vColor = texture2D(colormap, vec2(value, value));\\\\n\\\\n  //Lighting geometry parameters\\\\n  vec4 cameraCoordinate = view * worldPosition;\\\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\\\n  lightDirection = lightPosition - cameraCoordinate.xyz;\\\\n  eyeDirection   = eyePosition - cameraCoordinate.xyz;\\\\n  surfaceNormal  = normalize((vec4(normal,0) * inverseModel).xyz);\\\\n}\\\\n\\\"]),o=i([\\\"precision highp float;\\\\n#define GLSLIFY 1\\\\n\\\\nfloat beckmannDistribution(float x, float roughness) {\\\\n  float NdotH = max(x, 0.0001);\\\\n  float cos2Alpha = NdotH * NdotH;\\\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\\\n  float roughness2 = roughness * roughness;\\\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\\\n  return exp(tan2Alpha / roughness2) / denom;\\\\n}\\\\n\\\\nfloat beckmannSpecular(\\\\n  vec3 lightDirection,\\\\n  vec3 viewDirection,\\\\n  vec3 surfaceNormal,\\\\n  float roughness) {\\\\n  return beckmannDistribution(dot(surfaceNormal, normalize(lightDirection + viewDirection)), roughness);\\\\n}\\\\n\\\\nbool outOfRange(float a, float b, float p) {\\\\n  return ((p > max(a, b)) || \\\\n          (p < min(a, b)));\\\\n}\\\\n\\\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\\\n  return (outOfRange(a.x, b.x, p.x) ||\\\\n          outOfRange(a.y, b.y, p.y));\\\\n}\\\\n\\\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\\\n  return (outOfRange(a.x, b.x, p.x) ||\\\\n          outOfRange(a.y, b.y, p.y) ||\\\\n          outOfRange(a.z, b.z, p.z));\\\\n}\\\\n\\\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\\\n}\\\\n\\\\nuniform vec3 lowerBound, upperBound;\\\\nuniform float contourTint;\\\\nuniform vec4 contourColor;\\\\nuniform sampler2D colormap;\\\\nuniform vec3 clipBounds[2];\\\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\\\nuniform float vertexColor;\\\\n\\\\nvarying float value, kill;\\\\nvarying vec3 worldCoordinate;\\\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\\\nvarying vec4 vColor;\\\\n\\\\nvoid main() {\\\\n  if (\\\\n    kill > 0.0 ||\\\\n    vColor.a == 0.0 ||\\\\n    outOfRange(clipBounds[0], clipBounds[1], worldCoordinate)\\\\n  ) discard;\\\\n\\\\n  vec3 N = normalize(surfaceNormal);\\\\n  vec3 V = normalize(eyeDirection);\\\\n  vec3 L = normalize(lightDirection);\\\\n\\\\n  if(gl_FrontFacing) {\\\\n    N = -N;\\\\n  }\\\\n\\\\n  float specular = max(beckmannSpecular(L, V, N, roughness), 0.);\\\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\\\n\\\\n  //decide how to interpolate color \\\\u2014 in vertex or in fragment\\\\n  vec4 surfaceColor =\\\\n    step(vertexColor, .5) * texture2D(colormap, vec2(value, value)) +\\\\n    step(.5, vertexColor) * vColor;\\\\n\\\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\\\n\\\\n  gl_FragColor = mix(litColor, contourColor, contourTint) * opacity;\\\\n}\\\\n\\\"]),s=i([\\\"precision highp float;\\\\n#define GLSLIFY 1\\\\n\\\\nattribute vec4 uv;\\\\nattribute float f;\\\\n\\\\nuniform vec3 objectOffset;\\\\nuniform mat3 permutation;\\\\nuniform mat4 model, view, projection;\\\\nuniform float height, zOffset;\\\\nuniform sampler2D colormap;\\\\n\\\\nvarying float value, kill;\\\\nvarying vec3 worldCoordinate;\\\\nvarying vec2 planeCoordinate;\\\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\\\nvarying vec4 vColor;\\\\n\\\\nvoid main() {\\\\n  vec3 dataCoordinate = permutation * vec3(uv.xy, height);\\\\n  worldCoordinate = objectOffset + dataCoordinate;\\\\n  vec4 worldPosition = model * vec4(worldCoordinate, 1.0);\\\\n\\\\n  vec4 clipPosition = projection * view * worldPosition;\\\\n  clipPosition.z += zOffset;\\\\n\\\\n  gl_Position = clipPosition;\\\\n  value = f + objectOffset.z;\\\\n  kill = -1.0;\\\\n  planeCoordinate = uv.zw;\\\\n\\\\n  vColor = texture2D(colormap, vec2(value, value));\\\\n\\\\n  //Don't do lighting for contours\\\\n  surfaceNormal   = vec3(1,0,0);\\\\n  eyeDirection    = vec3(0,1,0);\\\\n  lightDirection  = vec3(0,0,1);\\\\n}\\\\n\\\"]),l=i([\\\"precision highp float;\\\\n#define GLSLIFY 1\\\\n\\\\nbool outOfRange(float a, float b, float p) {\\\\n  return ((p > max(a, b)) || \\\\n          (p < min(a, b)));\\\\n}\\\\n\\\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\\\n  return (outOfRange(a.x, b.x, p.x) ||\\\\n          outOfRange(a.y, b.y, p.y));\\\\n}\\\\n\\\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\\\n  return (outOfRange(a.x, b.x, p.x) ||\\\\n          outOfRange(a.y, b.y, p.y) ||\\\\n          outOfRange(a.z, b.z, p.z));\\\\n}\\\\n\\\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\\\n}\\\\n\\\\nuniform vec2 shape;\\\\nuniform vec3 clipBounds[2];\\\\nuniform float pickId;\\\\n\\\\nvarying float value, kill;\\\\nvarying vec3 worldCoordinate;\\\\nvarying vec2 planeCoordinate;\\\\nvarying vec3 surfaceNormal;\\\\n\\\\nvec2 splitFloat(float v) {\\\\n  float vh = 255.0 * v;\\\\n  float upper = floor(vh);\\\\n  float lower = fract(vh);\\\\n  return vec2(upper / 255.0, floor(lower * 16.0) / 16.0);\\\\n}\\\\n\\\\nvoid main() {\\\\n  if ((kill > 0.0) ||\\\\n      (outOfRange(clipBounds[0], clipBounds[1], worldCoordinate))) discard;\\\\n\\\\n  vec2 ux = splitFloat(planeCoordinate.x / shape.x);\\\\n  vec2 uy = splitFloat(planeCoordinate.y / shape.y);\\\\n  gl_FragColor = vec4(pickId, ux.x, uy.x, ux.y + (uy.y/16.0));\\\\n}\\\\n\\\"]);r.createShader=function(t){var e=n(t,a,o,null,[{name:\\\"uv\\\",type:\\\"vec4\\\"},{name:\\\"f\\\",type:\\\"vec3\\\"},{name:\\\"normal\\\",type:\\\"vec3\\\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},r.createPickShader=function(t){var e=n(t,a,l,null,[{name:\\\"uv\\\",type:\\\"vec4\\\"},{name:\\\"f\\\",type:\\\"vec3\\\"},{name:\\\"normal\\\",type:\\\"vec3\\\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},r.createContourShader=function(t){var e=n(t,s,o,null,[{name:\\\"uv\\\",type:\\\"vec4\\\"},{name:\\\"f\\\",type:\\\"float\\\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e},r.createPickContourShader=function(t){var e=n(t,s,l,null,[{name:\\\"uv\\\",type:\\\"vec4\\\"},{name:\\\"f\\\",type:\\\"float\\\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e}},{\\\"gl-shader\\\":331,glslify:434}],346:[function(t,e,r){\\\"use strict\\\";e.exports=function(t){var e=t.gl,r=y(e),n=b(e),s=x(e),l=_(e),c=i(e),u=a(e,[{buffer:c,size:4,stride:40,offset:0},{buffer:c,size:3,stride:40,offset:16},{buffer:c,size:3,stride:40,offset:28}]),f=i(e),h=a(e,[{buffer:f,size:4,stride:20,offset:0},{buffer:f,size:1,stride:20,offset:16}]),p=i(e),d=a(e,[{buffer:p,size:2,type:e.FLOAT}]),m=o(e,1,256,e.RGBA,e.UNSIGNED_BYTE);m.minFilter=e.LINEAR,m.magFilter=e.LINEAR;var g=new A(e,[0,0],[[0,0,0],[0,0,0]],r,n,c,u,m,s,l,f,h,p,d,[0,0,0]),v={levels:[[],[],[]]};for(var w in t)v[w]=t[w];return v.colormap=v.colormap||\\\"jet\\\",g.update(v),g};var n=t(\\\"bit-twiddle\\\"),i=t(\\\"gl-buffer\\\"),a=t(\\\"gl-vao\\\"),o=t(\\\"gl-texture2d\\\"),s=t(\\\"typedarray-pool\\\"),l=t(\\\"colormap\\\"),c=t(\\\"ndarray-ops\\\"),u=t(\\\"ndarray-pack\\\"),f=t(\\\"ndarray\\\"),h=t(\\\"surface-nets\\\"),p=t(\\\"gl-mat4/multiply\\\"),d=t(\\\"gl-mat4/invert\\\"),m=t(\\\"binary-search-bounds\\\"),g=t(\\\"ndarray-gradient\\\"),v=t(\\\"./lib/shaders\\\"),y=v.createShader,x=v.createContourShader,b=v.createPickShader,_=v.createPickContourShader,w=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],T=[[0,0],[0,1],[1,0],[1,1],[1,0],[0,1]],k=[[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0]];function M(t,e,r,n,i){this.position=t,this.index=e,this.uv=r,this.level=n,this.dataCoordinate=i}!function(){for(var t=0;t<3;++t){var e=k[t],r=(t+2)%3;e[(t+1)%3+0]=1,e[r+3]=1,e[t+6]=1}}();function A(t,e,r,n,i,a,o,l,c,u,h,p,d,m,g){this.gl=t,this.shape=e,this.bounds=r,this.objectOffset=g,this.intensityBounds=[],this._shader=n,this._pickShader=i,this._coordinateBuffer=a,this._vao=o,this._colorMap=l,this._contourShader=c,this._contourPickShader=u,this._contourBuffer=h,this._contourVAO=p,this._contourOffsets=[[],[],[]],this._contourCounts=[[],[],[]],this._vertexCount=0,this._pickResult=new M([0,0,0],[0,0],[0,0],[0,0,0],[0,0,0]),this._dynamicBuffer=d,this._dynamicVAO=m,this._dynamicOffsets=[0,0,0],this._dynamicCounts=[0,0,0],this.contourWidth=[1,1,1],this.contourLevels=[[1],[1],[1]],this.contourTint=[0,0,0],this.contourColor=[[.5,.5,.5,1],[.5,.5,.5,1],[.5,.5,.5,1]],this.showContour=!0,this.showSurface=!0,this.enableHighlight=[!0,!0,!0],this.highlightColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.highlightTint=[1,1,1],this.highlightLevel=[-1,-1,-1],this.enableDynamic=[!0,!0,!0],this.dynamicLevel=[NaN,NaN,NaN],this.dynamicColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.dynamicTint=[1,1,1],this.dynamicWidth=[1,1,1],this.axesBounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.surfaceProject=[!1,!1,!1],this.contourProject=[[!1,!1,!1],[!1,!1,!1],[!1,!1,!1]],this.colorBounds=[!1,!1],this._field=[f(s.mallocFloat(1024),[0,0]),f(s.mallocFloat(1024),[0,0]),f(s.mallocFloat(1024),[0,0])],this.pickId=1,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.snapToData=!1,this.pixelRatio=1,this.opacity=1,this.lightPosition=[10,1e4,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.vertexColor=0,this.dirty=!0}var S=A.prototype;S.genColormap=function(t,e){var r=!1,n=u([l({colormap:t,nshades:256,format:\\\"rgba\\\"}).map((function(t,n){var i=e?function(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;r<e.length;++r){if(e.length<2)return 1;if(e[r][0]===t)return e[r][1];if(e[r][0]>t&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}(n/255,e):t[3];return i<1&&(r=!0),[t[0],t[1],t[2],255*i]}))]);return c.divseq(n,255),this.hasAlphaScale=r,n},S.isTransparent=function(){return this.opacity<1||this.hasAlphaScale},S.isOpaque=function(){return!this.isTransparent()},S.pickSlots=1,S.setPickBase=function(t){this.pickId=t};var E=[0,0,0],L={showSurface:!1,showContour:!1,projections:[w.slice(),w.slice(),w.slice()],clipBounds:[[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]]]};function C(t,e){var r,n,i,a=e.axes&&e.axes.lastCubeProps.axis||E,o=e.showSurface,s=e.showContour;for(r=0;r<3;++r)for(o=o||e.surfaceProject[r],n=0;n<3;++n)s=s||e.contourProject[r][n];for(r=0;r<3;++r){var l=L.projections[r];for(n=0;n<16;++n)l[n]=0;for(n=0;n<4;++n)l[5*n]=1;l[5*r]=0,l[12+r]=e.axesBounds[+(a[r]>0)][r],p(l,t.model,l);var c=L.clipBounds[r];for(i=0;i<2;++i)for(n=0;n<3;++n)c[i][n]=t.clipBounds[i][n];c[0][r]=-1e8,c[1][r]=1e8}return L.showSurface=o,L.showContour=s,L}var P={model:w,view:w,projection:w,inverseModel:w.slice(),lowerBound:[0,0,0],upperBound:[0,0,0],colorMap:0,clipBounds:[[0,0,0],[0,0,0]],height:0,contourTint:0,contourColor:[0,0,0,1],permutation:[1,0,0,0,1,0,0,0,1],zOffset:-1e-4,objectOffset:[0,0,0],kambient:1,kdiffuse:1,kspecular:1,lightPosition:[1e3,1e3,1e3],eyePosition:[0,0,0],roughness:1,fresnel:1,opacity:1,vertexColor:0},I=w.slice(),O=[1,0,0,0,1,0,0,0,1];function z(t,e){t=t||{};var r=this.gl;r.disable(r.CULL_FACE),this._colorMap.bind(0);var n=P;n.model=t.model||w,n.view=t.view||w,n.projection=t.projection||w,n.lowerBound=[this.bounds[0][0],this.bounds[0][1],this.colorBounds[0]||this.bounds[0][2]],n.upperBound=[this.bounds[1][0],this.bounds[1][1],this.colorBounds[1]||this.bounds[1][2]],n.objectOffset=this.objectOffset,n.contourColor=this.contourColor[0],n.inverseModel=d(n.inverseModel,n.model);for(var i=0;i<2;++i)for(var a=n.clipBounds[i],o=0;o<3;++o)a[o]=Math.min(Math.max(this.clipBounds[i][o],-1e8),1e8);n.kambient=this.ambientLight,n.kdiffuse=this.diffuseLight,n.kspecular=this.specularLight,n.roughness=this.roughness,n.fresnel=this.fresnel,n.opacity=this.opacity,n.height=0,n.permutation=O,n.vertexColor=this.vertexColor;var s=I;for(p(s,n.view,n.model),p(s,n.projection,s),d(s,s),i=0;i<3;++i)n.eyePosition[i]=s[12+i]/s[15];var l=s[15];for(i=0;i<3;++i)l+=this.lightPosition[i]*s[4*i+3];for(i=0;i<3;++i){var c=s[12+i];for(o=0;o<3;++o)c+=s[4*o+i]*this.lightPosition[o];n.lightPosition[i]=c/l}var u=C(n,this);if(u.showSurface){for(this._shader.bind(),this._shader.uniforms=n,this._vao.bind(),this.showSurface&&this._vertexCount&&this._vao.draw(r.TRIANGLES,this._vertexCount),i=0;i<3;++i)this.surfaceProject[i]&&this.vertexCount&&(this._shader.uniforms.model=u.projections[i],this._shader.uniforms.clipBounds=u.clipBounds[i],this._vao.draw(r.TRIANGLES,this._vertexCount));this._vao.unbind()}if(u.showContour){var f=this._contourShader;n.kambient=1,n.kdiffuse=0,n.kspecular=0,n.opacity=1,f.bind(),f.uniforms=n;var h=this._contourVAO;for(h.bind(),i=0;i<3;++i)for(f.uniforms.permutation=k[i],r.lineWidth(this.contourWidth[i]*this.pixelRatio),o=0;o<this.contourLevels[i].length;++o)o===this.highlightLevel[i]?(f.uniforms.contourColor=this.highlightColor[i],f.uniforms.contourTint=this.highlightTint[i]):0!==o&&o-1!==this.highlightLevel[i]||(f.uniforms.contourColor=this.contourColor[i],f.uniforms.contourTint=this.contourTint[i]),this._contourCounts[i][o]&&(f.uniforms.height=this.contourLevels[i][o],h.draw(r.LINES,this._contourCounts[i][o],this._contourOffsets[i][o]));for(i=0;i<3;++i)for(f.uniforms.model=u.projections[i],f.uniforms.clipBounds=u.clipBounds[i],o=0;o<3;++o)if(this.contourProject[i][o]){f.uniforms.permutation=k[o],r.lineWidth(this.contourWidth[o]*this.pixelRatio);for(var m=0;m<this.contourLevels[o].length;++m)m===this.highlightLevel[o]?(f.uniforms.contourColor=this.highlightColor[o],f.uniforms.contourTint=this.highlightTint[o]):0!==m&&m-1!==this.highlightLevel[o]||(f.uniforms.contourColor=this.contourColor[o],f.uniforms.contourTint=this.contourTint[o]),this._contourCounts[o][m]&&(f.uniforms.height=this.contourLevels[o][m],h.draw(r.LINES,this._contourCounts[o][m],this._contourOffsets[o][m]))}for(h.unbind(),(h=this._dynamicVAO).bind(),i=0;i<3;++i)if(0!==this._dynamicCounts[i])for(f.uniforms.model=n.model,f.uniforms.clipBounds=n.clipBounds,f.uniforms.permutation=k[i],r.lineWidth(this.dynamicWidth[i]*this.pixelRatio),f.uniforms.contourColor=this.dynamicColor[i],f.uniforms.contourTint=this.dynamicTint[i],f.uniforms.height=this.dynamicLevel[i],h.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]),o=0;o<3;++o)this.contourProject[o][i]&&(f.uniforms.model=u.projections[o],f.uniforms.clipBounds=u.clipBounds[o],h.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]));h.unbind()}}S.draw=function(t){return z.call(this,t,!1)},S.drawTransparent=function(t){return z.call(this,t,!0)};var D={model:w,view:w,projection:w,inverseModel:w,clipBounds:[[0,0,0],[0,0,0]],height:0,shape:[0,0],pickId:0,lowerBound:[0,0,0],upperBound:[0,0,0],zOffset:0,objectOffset:[0,0,0],permutation:[1,0,0,0,1,0,0,0,1],lightPosition:[0,0,0],eyePosition:[0,0,0]};function R(t,e){return Array.isArray(t)?[e(t[0]),e(t[1]),e(t[2])]:[e(t),e(t),e(t)]}function F(t){return Array.isArray(t)?3===t.length?[t[0],t[1],t[2],1]:[t[0],t[1],t[2],t[3]]:[0,0,0,1]}function B(t){if(Array.isArray(t)){if(Array.isArray(t))return[F(t[0]),F(t[1]),F(t[2])];var e=F(t);return[e.slice(),e.slice(),e.slice()]}}S.drawPick=function(t){t=t||{};var e=this.gl;e.disable(e.CULL_FACE);var r=D;r.model=t.model||w,r.view=t.view||w,r.projection=t.projection||w,r.shape=this._field[2].shape,r.pickId=this.pickId/255,r.lowerBound=this.bounds[0],r.upperBound=this.bounds[1],r.objectOffset=this.objectOffset,r.permutation=O;for(var n=0;n<2;++n)for(var i=r.clipBounds[n],a=0;a<3;++a)i[a]=Math.min(Math.max(this.clipBounds[n][a],-1e8),1e8);var o=C(r,this);if(o.showSurface){for(this._pickShader.bind(),this._pickShader.uniforms=r,this._vao.bind(),this._vao.draw(e.TRIANGLES,this._vertexCount),n=0;n<3;++n)this.surfaceProject[n]&&(this._pickShader.uniforms.model=o.projections[n],this._pickShader.uniforms.clipBounds=o.clipBounds[n],this._vao.draw(e.TRIANGLES,this._vertexCount));this._vao.unbind()}if(o.showContour){var s=this._contourPickShader;s.bind(),s.uniforms=r;var l=this._contourVAO;for(l.bind(),a=0;a<3;++a)for(e.lineWidth(this.contourWidth[a]*this.pixelRatio),s.uniforms.permutation=k[a],n=0;n<this.contourLevels[a].length;++n)this._contourCounts[a][n]&&(s.uniforms.height=this.contourLevels[a][n],l.draw(e.LINES,this._contourCounts[a][n],this._contourOffsets[a][n]));for(n=0;n<3;++n)for(s.uniforms.model=o.projections[n],s.uniforms.clipBounds=o.clipBounds[n],a=0;a<3;++a)if(this.contourProject[n][a]){s.uniforms.permutation=k[a],e.lineWidth(this.contourWidth[a]*this.pixelRatio);for(var c=0;c<this.contourLevels[a].length;++c)this._contourCounts[a][c]&&(s.uniforms.height=this.contourLevels[a][c],l.draw(e.LINES,this._contourCounts[a][c],this._contourOffsets[a][c]))}l.unbind()}},S.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=this._field[2].shape,r=this._pickResult,n=e[0]*(t.value[0]+(t.value[2]>>4)/16)/255,i=Math.floor(n),a=n-i,o=e[1]*(t.value[1]+(15&t.value[2])/16)/255,s=Math.floor(o),l=o-s;i+=1,s+=1;var c=r.position;c[0]=c[1]=c[2]=0;for(var u=0;u<2;++u)for(var f=u?a:1-a,h=0;h<2;++h)for(var p=i+u,d=s+h,g=f*(h?l:1-l),v=0;v<3;++v)c[v]+=this._field[v].get(p,d)*g;for(var y=this._pickResult.level,x=0;x<3;++x)if(y[x]=m.le(this.contourLevels[x],c[x]),y[x]<0)this.contourLevels[x].length>0&&(y[x]=0);else if(y[x]<this.contourLevels[x].length-1){var b=this.contourLevels[x][y[x]],_=this.contourLevels[x][y[x]+1];Math.abs(b-c[x])>Math.abs(_-c[x])&&(y[x]+=1)}for(r.index[0]=a<.5?i:i+1,r.index[1]=l<.5?s:s+1,r.uv[0]=n/e[0],r.uv[1]=o/e[1],v=0;v<3;++v)r.dataCoordinate[v]=this._field[v].get(r.index[0],r.index[1]);return r},S.padField=function(t,e){var r=e.shape.slice(),n=t.shape.slice();c.assign(t.lo(1,1).hi(r[0],r[1]),e),c.assign(t.lo(1).hi(r[0],1),e.hi(r[0],1)),c.assign(t.lo(1,n[1]-1).hi(r[0],1),e.lo(0,r[1]-1).hi(r[0],1)),c.assign(t.lo(0,1).hi(1,r[1]),e.hi(1)),c.assign(t.lo(n[0]-1,1).hi(1,r[1]),e.lo(r[0]-1)),t.set(0,0,e.get(0,0)),t.set(0,n[1]-1,e.get(0,r[1]-1)),t.set(n[0]-1,0,e.get(r[0]-1,0)),t.set(n[0]-1,n[1]-1,e.get(r[0]-1,r[1]-1))},S.update=function(t){t=t||{},this.objectOffset=t.objectOffset||this.objectOffset,this.dirty=!0,\\\"contourWidth\\\"in t&&(this.contourWidth=R(t.contourWidth,Number)),\\\"showContour\\\"in t&&(this.showContour=R(t.showContour,Boolean)),\\\"showSurface\\\"in t&&(this.showSurface=!!t.showSurface),\\\"contourTint\\\"in t&&(this.contourTint=R(t.contourTint,Boolean)),\\\"contourColor\\\"in t&&(this.contourColor=B(t.contourColor)),\\\"contourProject\\\"in t&&(this.contourProject=R(t.contourProject,(function(t){return R(t,Boolean)}))),\\\"surfaceProject\\\"in t&&(this.surfaceProject=t.surfaceProject),\\\"dynamicColor\\\"in t&&(this.dynamicColor=B(t.dynamicColor)),\\\"dynamicTint\\\"in t&&(this.dynamicTint=R(t.dynamicTint,Number)),\\\"dynamicWidth\\\"in t&&(this.dynamicWidth=R(t.dynamicWidth,Number)),\\\"opacity\\\"in t&&(this.opacity=t.opacity),\\\"opacityscale\\\"in t&&(this.opacityscale=t.opacityscale),\\\"colorBounds\\\"in t&&(this.colorBounds=t.colorBounds),\\\"vertexColor\\\"in t&&(this.vertexColor=t.vertexColor?1:0),\\\"colormap\\\"in t&&this._colorMap.setPixels(this.genColormap(t.colormap,this.opacityscale));var e=t.field||t.coords&&t.coords[2]||null,r=!1;if(e||(e=this._field[2].shape[0]||this._field[2].shape[2]?this._field[2].lo(1,1).hi(this._field[2].shape[0]-2,this._field[2].shape[1]-2):this._field[2].hi(0,0)),\\\"field\\\"in t||\\\"coords\\\"in t){var i=(e.shape[0]+2)*(e.shape[1]+2);i>this._field[2].data.length&&(s.freeFloat(this._field[2].data),this._field[2].data=s.mallocFloat(n.nextPow2(i))),this._field[2]=f(this._field[2].data,[e.shape[0]+2,e.shape[1]+2]),this.padField(this._field[2],e),this.shape=e.shape.slice();for(var a=this.shape,o=0;o<2;++o)this._field[2].size>this._field[o].data.length&&(s.freeFloat(this._field[o].data),this._field[o].data=s.mallocFloat(this._field[2].size)),this._field[o]=f(this._field[o].data,[a[0]+2,a[1]+2]);if(t.coords){var l=t.coords;if(!Array.isArray(l)||3!==l.length)throw new Error(\\\"gl-surface: invalid coordinates for x/y\\\");for(o=0;o<2;++o){var c=l[o];for(v=0;v<2;++v)if(c.shape[v]!==a[v])throw new Error(\\\"gl-surface: coords have incorrect shape\\\");this.padField(this._field[o],c)}}else if(t.ticks){var u=t.ticks;if(!Array.isArray(u)||2!==u.length)throw new Error(\\\"gl-surface: invalid ticks\\\");for(o=0;o<2;++o){var p=u[o];if((Array.isArray(p)||p.length)&&(p=f(p)),p.shape[0]!==a[o])throw new Error(\\\"gl-surface: invalid tick length\\\");var d=f(p.data,a);d.stride[o]=p.stride[0],d.stride[1^o]=0,this.padField(this._field[o],d)}}else{for(o=0;o<2;++o){var m=[0,0];m[o]=1,this._field[o]=f(this._field[o].data,[a[0]+2,a[1]+2],m,0)}this._field[0].set(0,0,0);for(var v=0;v<a[0];++v)this._field[0].set(v+1,0,v);for(this._field[0].set(a[0]+1,0,a[0]-1),this._field[1].set(0,0,0),v=0;v<a[1];++v)this._field[1].set(0,v+1,v);this._field[1].set(0,a[1]+1,a[1]-1)}var y=this._field,x=f(s.mallocFloat(3*y[2].size*2),[3,a[0]+2,a[1]+2,2]);for(o=0;o<3;++o)g(x.pick(o),y[o],\\\"mirror\\\");var b=f(s.mallocFloat(3*y[2].size),[a[0]+2,a[1]+2,3]);for(o=0;o<a[0]+2;++o)for(v=0;v<a[1]+2;++v){var _=x.get(0,o,v,0),w=x.get(0,o,v,1),k=x.get(1,o,v,0),M=x.get(1,o,v,1),A=x.get(2,o,v,0),S=x.get(2,o,v,1),E=k*S-M*A,L=A*w-S*_,C=_*M-w*k,P=Math.sqrt(E*E+L*L+C*C);P<1e-8?(P=Math.max(Math.abs(E),Math.abs(L),Math.abs(C)))<1e-8?(C=1,L=E=0,P=1):P=1/P:P=1/Math.sqrt(P),b.set(o,v,0,E*P),b.set(o,v,1,L*P),b.set(o,v,2,C*P)}s.free(x.data);var I=[1/0,1/0,1/0],O=[-1/0,-1/0,-1/0],z=1/0,D=-1/0,F=(a[0]-1)*(a[1]-1)*6,N=s.mallocFloat(n.nextPow2(10*F)),j=0,U=0;for(o=0;o<a[0]-1;++o)t:for(v=0;v<a[1]-1;++v){for(var V=0;V<2;++V)for(var q=0;q<2;++q)for(var H=0;H<3;++H){var G=this._field[H].get(1+o+V,1+v+q);if(isNaN(G)||!isFinite(G))continue t}for(H=0;H<6;++H){var Y=o+T[H][0],W=v+T[H][1],X=this._field[0].get(Y+1,W+1),Z=this._field[1].get(Y+1,W+1);G=this._field[2].get(Y+1,W+1),E=b.get(Y+1,W+1,0),L=b.get(Y+1,W+1,1),C=b.get(Y+1,W+1,2),t.intensity&&(J=t.intensity.get(Y,W));var J=t.intensity?t.intensity.get(Y,W):G+this.objectOffset[2];N[j++]=Y,N[j++]=W,N[j++]=X,N[j++]=Z,N[j++]=G,N[j++]=0,N[j++]=J,N[j++]=E,N[j++]=L,N[j++]=C,I[0]=Math.min(I[0],X+this.objectOffset[0]),I[1]=Math.min(I[1],Z+this.objectOffset[1]),I[2]=Math.min(I[2],G+this.objectOffset[2]),z=Math.min(z,J),O[0]=Math.max(O[0],X+this.objectOffset[0]),O[1]=Math.max(O[1],Z+this.objectOffset[1]),O[2]=Math.max(O[2],G+this.objectOffset[2]),D=Math.max(D,J),U+=1}}for(t.intensityBounds&&(z=+t.intensityBounds[0],D=+t.intensityBounds[1]),o=6;o<j;o+=10)N[o]=(N[o]-z)/(D-z);this._vertexCount=U,this._coordinateBuffer.update(N.subarray(0,j)),s.freeFloat(N),s.free(b.data),this.bounds=[I,O],this.intensity=t.intensity||this._field[2],this.intensityBounds[0]===z&&this.intensityBounds[1]===D||(r=!0),this.intensityBounds=[z,D]}if(\\\"levels\\\"in t){var K=t.levels;for(K=Array.isArray(K[0])?K.slice():[[],[],K],o=0;o<3;++o)K[o]=K[o].slice(),K[o].sort((function(t,e){return t-e}));for(o=0;o<3;++o)for(v=0;v<K[o].length;++v)K[o][v]-=this.objectOffset[o];t:for(o=0;o<3;++o){if(K[o].length!==this.contourLevels[o].length){r=!0;break}for(v=0;v<K[o].length;++v)if(K[o][v]!==this.contourLevels[o][v]){r=!0;break t}}this.contourLevels=K}if(r){y=this._field,a=this.shape;for(var Q=[],$=0;$<3;++$){var tt=this.contourLevels[$],et=[],rt=[],nt=[0,0,0];for(o=0;o<tt.length;++o){var it=h(this._field[$],tt[o]);et.push(Q.length/5|0),U=0;t:for(v=0;v<it.cells.length;++v){var at=it.cells[v];for(H=0;H<2;++H){var ot=it.positions[at[H]],st=ot[0],lt=0|Math.floor(st),ct=st-lt,ut=ot[1],ft=0|Math.floor(ut),ht=ut-ft,pt=!1;e:for(var dt=0;dt<3;++dt){nt[dt]=0;var mt=($+dt+1)%3;for(V=0;V<2;++V){var gt=V?ct:1-ct;for(Y=0|Math.min(Math.max(lt+V,0),a[0]),q=0;q<2;++q){var vt=q?ht:1-ht;if(W=0|Math.min(Math.max(ft+q,0),a[1]),G=dt<2?this._field[mt].get(Y,W):(this.intensity.get(Y,W)-this.intensityBounds[0])/(this.intensityBounds[1]-this.intensityBounds[0]),!isFinite(G)||isNaN(G)){pt=!0;break e}var yt=gt*vt;nt[dt]+=yt*G}}}if(pt){if(H>0){for(var xt=0;xt<5;++xt)Q.pop();U-=1}continue t}Q.push(nt[0],nt[1],ot[0],ot[1],nt[2]),U+=1}}rt.push(U)}this._contourOffsets[$]=et,this._contourCounts[$]=rt}var bt=s.mallocFloat(Q.length);for(o=0;o<Q.length;++o)bt[o]=Q[o];this._contourBuffer.update(bt),s.freeFloat(bt)}},S.dispose=function(){this._shader.dispose(),this._vao.dispose(),this._coordinateBuffer.dispose(),this._colorMap.dispose(),this._contourBuffer.dispose(),this._contourVAO.dispose(),this._contourShader.dispose(),this._contourPickShader.dispose(),this._dynamicBuffer.dispose(),this._dynamicVAO.dispose();for(var t=0;t<3;++t)s.freeFloat(this._field[t].data)},S.highlight=function(t){var e,r;if(!t)return this._dynamicCounts=[0,0,0],this.dyanamicLevel=[NaN,NaN,NaN],void(this.highlightLevel=[-1,-1,-1]);for(e=0;e<3;++e)this.enableHighlight[e]?this.highlightLevel[e]=t.level[e]:this.highlightLevel[e]=-1;for(r=this.snapToData?t.dataCoordinate:t.position,e=0;e<3;++e)r[e]-=this.objectOffset[e];if(this.enableDynamic[0]&&r[0]!==this.dynamicLevel[0]||this.enableDynamic[1]&&r[1]!==this.dynamicLevel[1]||this.enableDynamic[2]&&r[2]!==this.dynamicLevel[2]){for(var n=0,i=this.shape,a=s.mallocFloat(12*i[0]*i[1]),o=0;o<3;++o)if(this.enableDynamic[o]){this.dynamicLevel[o]=r[o];var l=(o+1)%3,c=(o+2)%3,u=this._field[o],f=this._field[l],p=this._field[c],d=h(u,r[o]),m=d.cells,g=d.positions;for(this._dynamicOffsets[o]=n,e=0;e<m.length;++e)for(var v=m[e],y=0;y<2;++y){var x=g[v[y]],b=+x[0],_=0|b,w=0|Math.min(_+1,i[0]),T=b-_,k=1-T,M=+x[1],A=0|M,S=0|Math.min(A+1,i[1]),E=M-A,L=1-E,C=k*L,P=k*E,I=T*L,O=T*E,z=C*f.get(_,A)+P*f.get(_,S)+I*f.get(w,A)+O*f.get(w,S),D=C*p.get(_,A)+P*p.get(_,S)+I*p.get(w,A)+O*p.get(w,S);if(isNaN(z)||isNaN(D)){y&&(n-=1);break}a[2*n+0]=z,a[2*n+1]=D,n+=1}this._dynamicCounts[o]=n-this._dynamicOffsets[o]}else this.dynamicLevel[o]=NaN,this._dynamicCounts[o]=0;this._dynamicBuffer.update(a.subarray(0,2*n)),s.freeFloat(a)}}},{\\\"./lib/shaders\\\":345,\\\"binary-search-bounds\\\":99,\\\"bit-twiddle\\\":100,colormap:133,\\\"gl-buffer\\\":259,\\\"gl-mat4/invert\\\":291,\\\"gl-mat4/multiply\\\":293,\\\"gl-texture2d\\\":348,\\\"gl-vao\\\":353,ndarray:475,\\\"ndarray-gradient\\\":468,\\\"ndarray-ops\\\":470,\\\"ndarray-pack\\\":471,\\\"surface-nets\\\":583,\\\"typedarray-pool\\\":609}],347:[function(t,e,r){\\\"use strict\\\";var n=t(\\\"css-font\\\"),i=t(\\\"pick-by-alias\\\"),a=t(\\\"regl\\\"),o=t(\\\"gl-util/context\\\"),s=t(\\\"es6-weak-map\\\"),l=t(\\\"color-normalize\\\"),c=t(\\\"font-atlas\\\"),u=t(\\\"typedarray-pool\\\"),f=t(\\\"parse-rect\\\"),h=t(\\\"is-plain-obj\\\"),p=t(\\\"parse-unit\\\"),d=t(\\\"to-px\\\"),m=t(\\\"detect-kerning\\\"),g=t(\\\"object-assign\\\"),v=t(\\\"font-measure\\\"),y=t(\\\"flatten-vertex-data\\\"),x=t(\\\"bit-twiddle\\\").nextPow2,b=new s,_=!1;if(document.body){var w=document.body.appendChild(document.createElement(\\\"div\\\"));w.style.font=\\\"italic small-caps bold condensed 16px/2 cursive\\\",getComputedStyle(w).fontStretch&&(_=!0),document.body.removeChild(w)}var T=function(t){!function(t){return\\\"function\\\"==typeof t&&t._gl&&t.prop&&t.texture&&t.buffer}(t)?this.gl=o(t):(t={regl:t},this.gl=t.regl._gl),this.shader=b.get(this.gl),this.shader?this.regl=this.shader.regl:this.regl=t.regl||a({gl:this.gl}),this.charBuffer=this.regl.buffer({type:\\\"uint8\\\",usage:\\\"stream\\\"}),this.sizeBuffer=this.regl.buffer({type:\\\"float\\\",usage:\\\"stream\\\"}),this.shader||(this.shader=this.createShader(),b.set(this.gl,this.shader)),this.batch=[],this.fontSize=[],this.font=[],this.fontAtlas=[],this.draw=this.shader.draw.bind(this),this.render=function(){this.regl._refresh(),this.draw(this.batch)},this.canvas=this.gl.canvas,this.update(h(t)?t:{})};T.prototype.createShader=function(){var t=this.regl,e=t({blend:{enable:!0,color:[0,0,0,1],func:{srcRGB:\\\"src alpha\\\",dstRGB:\\\"one minus src alpha\\\",srcAlpha:\\\"one minus dst alpha\\\",dstAlpha:\\\"one\\\"}},stencil:{enable:!1},depth:{enable:!1},count:t.prop(\\\"count\\\"),offset:t.prop(\\\"offset\\\"),attributes:{charOffset:{offset:4,stride:8,buffer:t.this(\\\"sizeBuffer\\\")},width:{offset:0,stride:8,buffer:t.this(\\\"sizeBuffer\\\")},char:t.this(\\\"charBuffer\\\"),position:t.this(\\\"position\\\")},uniforms:{atlasSize:function(t,e){return[e.atlas.width,e.atlas.height]},atlasDim:function(t,e){return[e.atlas.cols,e.atlas.rows]},atlas:function(t,e){return e.atlas.texture},charStep:function(t,e){return e.atlas.step},em:function(t,e){return e.atlas.em},color:t.prop(\\\"color\\\"),opacity:t.prop(\\\"opacity\\\"),viewport:t.this(\\\"viewportArray\\\"),scale:t.this(\\\"scale\\\"),align:t.prop(\\\"align\\\"),baseline:t.prop(\\\"baseline\\\"),translate:t.this(\\\"translate\\\"),positionOffset:t.prop(\\\"positionOffset\\\")},primitive:\\\"points\\\",viewport:t.this(\\\"viewport\\\"),vert:\\\"\\\\n\\\\t\\\\t\\\\tprecision highp float;\\\\n\\\\t\\\\t\\\\tattribute float width, charOffset, char;\\\\n\\\\t\\\\t\\\\tattribute vec2 position;\\\\n\\\\t\\\\t\\\\tuniform float fontSize, charStep, em, align, baseline;\\\\n\\\\t\\\\t\\\\tuniform vec4 viewport;\\\\n\\\\t\\\\t\\\\tuniform vec4 color;\\\\n\\\\t\\\\t\\\\tuniform vec2 atlasSize, atlasDim, scale, translate, positionOffset;\\\\n\\\\t\\\\t\\\\tvarying vec2 charCoord, charId;\\\\n\\\\t\\\\t\\\\tvarying float charWidth;\\\\n\\\\t\\\\t\\\\tvarying vec4 fontColor;\\\\n\\\\t\\\\t\\\\tvoid main () {\\\\n\\\\t\\\\t\\\\t\\\\t\\\"+(T.normalViewport?\\\"\\\":\\\"vec2 positionOffset = vec2(positionOffset.x,- positionOffset.y);\\\")+\\\"\\\\n\\\\n\\\\t\\\\t\\\\t\\\\tvec2 offset = floor(em * (vec2(align + charOffset, baseline)\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t+ positionOffset))\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t/ (viewport.zw * scale.xy);\\\\n\\\\n\\\\t\\\\t\\\\t\\\\tvec2 position = (position + translate) * scale;\\\\n\\\\t\\\\t\\\\t\\\\tposition += offset * scale;\\\\n\\\\n\\\\t\\\\t\\\\t\\\\t\\\"+(T.normalViewport?\\\"position.y = 1. - position.y;\\\":\\\"\\\")+\\\"\\\\n\\\\n\\\\t\\\\t\\\\t\\\\tcharCoord = position * viewport.zw + viewport.xy;\\\\n\\\\n\\\\t\\\\t\\\\t\\\\tgl_Position = vec4(position * 2. - 1., 0, 1);\\\\n\\\\n\\\\t\\\\t\\\\t\\\\tgl_PointSize = charStep;\\\\n\\\\n\\\\t\\\\t\\\\t\\\\tcharId.x = mod(char, atlasDim.x);\\\\n\\\\t\\\\t\\\\t\\\\tcharId.y = floor(char / atlasDim.x);\\\\n\\\\n\\\\t\\\\t\\\\t\\\\tcharWidth = width * em;\\\\n\\\\n\\\\t\\\\t\\\\t\\\\tfontColor = color / 255.;\\\\n\\\\t\\\\t\\\\t}\\\",frag:\\\"\\\\n\\\\t\\\\t\\\\tprecision highp float;\\\\n\\\\t\\\\t\\\\tuniform sampler2D atlas;\\\\n\\\\t\\\\t\\\\tuniform float fontSize, charStep, opacity;\\\\n\\\\t\\\\t\\\\tuniform vec2 atlasSize;\\\\n\\\\t\\\\t\\\\tuniform vec4 viewport;\\\\n\\\\t\\\\t\\\\tvarying vec4 fontColor;\\\\n\\\\t\\\\t\\\\tvarying vec2 charCoord, charId;\\\\n\\\\t\\\\t\\\\tvarying float charWidth;\\\\n\\\\n\\\\t\\\\t\\\\tfloat lightness(vec4 color) {\\\\n\\\\t\\\\t\\\\t\\\\treturn color.r * 0.299 + color.g * 0.587 + color.b * 0.114;\\\\n\\\\t\\\\t\\\\t}\\\\n\\\\n\\\\t\\\\t\\\\tvoid main () {\\\\n\\\\t\\\\t\\\\t\\\\tvec2 uv = gl_FragCoord.xy - charCoord + charStep * .5;\\\\n\\\\t\\\\t\\\\t\\\\tfloat halfCharStep = floor(charStep * .5 + .5);\\\\n\\\\n\\\\t\\\\t\\\\t\\\\t// invert y and shift by 1px (FF expecially needs that)\\\\n\\\\t\\\\t\\\\t\\\\tuv.y = charStep - uv.y;\\\\n\\\\n\\\\t\\\\t\\\\t\\\\t// ignore points outside of character bounding box\\\\n\\\\t\\\\t\\\\t\\\\tfloat halfCharWidth = ceil(charWidth * .5);\\\\n\\\\t\\\\t\\\\t\\\\tif (floor(uv.x) > halfCharStep + halfCharWidth ||\\\\n\\\\t\\\\t\\\\t\\\\t\\\\tfloor(uv.x) < halfCharStep - halfCharWidth) return;\\\\n\\\\n\\\\t\\\\t\\\\t\\\\tuv += charId * charStep;\\\\n\\\\t\\\\t\\\\t\\\\tuv = uv / atlasSize;\\\\n\\\\n\\\\t\\\\t\\\\t\\\\tvec4 color = fontColor;\\\\n\\\\t\\\\t\\\\t\\\\tvec4 mask = texture2D(atlas, uv);\\\\n\\\\n\\\\t\\\\t\\\\t\\\\tfloat maskY = lightness(mask);\\\\n\\\\t\\\\t\\\\t\\\\t// float colorY = lightness(color);\\\\n\\\\t\\\\t\\\\t\\\\tcolor.a *= maskY;\\\\n\\\\t\\\\t\\\\t\\\\tcolor.a *= opacity;\\\\n\\\\n\\\\t\\\\t\\\\t\\\\t// color.a += .1;\\\\n\\\\n\\\\t\\\\t\\\\t\\\\t// antialiasing, see yiq color space y-channel formula\\\\n\\\\t\\\\t\\\\t\\\\t// color.rgb += (1. - color.rgb) * (1. - mask.rgb);\\\\n\\\\n\\\\t\\\\t\\\\t\\\\tgl_FragColor = color;\\\\n\\\\t\\\\t\\\\t}\\\"});return{regl:t,draw:e,atlas:{}}},T.prototype.update=function(t){var e=this;if(\\\"string\\\"==typeof t)t={text:t};else if(!t)return;null!=(t=i(t,{position:\\\"position positions coord coords coordinates\\\",font:\\\"font fontFace fontface typeface cssFont css-font family fontFamily\\\",fontSize:\\\"fontSize fontsize size font-size\\\",text:\\\"text texts chars characters value values symbols\\\",align:\\\"align alignment textAlign textbaseline\\\",baseline:\\\"baseline textBaseline textbaseline\\\",direction:\\\"dir direction textDirection\\\",color:\\\"color colour fill fill-color fillColor textColor textcolor\\\",kerning:\\\"kerning kern\\\",range:\\\"range dataBox\\\",viewport:\\\"vp viewport viewBox viewbox viewPort\\\",opacity:\\\"opacity alpha transparency visible visibility opaque\\\",offset:\\\"offset positionOffset padding shift indent indentation\\\"},!0)).opacity&&(Array.isArray(t.opacity)?this.opacity=t.opacity.map((function(t){return parseFloat(t)})):this.opacity=parseFloat(t.opacity)),null!=t.viewport&&(this.viewport=f(t.viewport),T.normalViewport&&(this.viewport.y=this.canvas.height-this.viewport.y-this.viewport.height),this.viewportArray=[this.viewport.x,this.viewport.y,this.viewport.width,this.viewport.height]),null==this.viewport&&(this.viewport={x:0,y:0,width:this.gl.drawingBufferWidth,height:this.gl.drawingBufferHeight},this.viewportArray=[this.viewport.x,this.viewport.y,this.viewport.width,this.viewport.height]),null!=t.kerning&&(this.kerning=t.kerning),null!=t.offset&&(\\\"number\\\"==typeof t.offset&&(t.offset=[t.offset,0]),this.positionOffset=y(t.offset)),t.direction&&(this.direction=t.direction),t.range&&(this.range=t.range,this.scale=[1/(t.range[2]-t.range[0]),1/(t.range[3]-t.range[1])],this.translate=[-t.range[0],-t.range[1]]),t.scale&&(this.scale=t.scale),t.translate&&(this.translate=t.translate),this.scale||(this.scale=[1/this.viewport.width,1/this.viewport.height]),this.translate||(this.translate=[0,0]),this.font.length||t.font||(t.font=T.baseFontSize+\\\"px sans-serif\\\");var r,a=!1,o=!1;if(t.font&&(Array.isArray(t.font)?t.font:[t.font]).forEach((function(t,r){if(\\\"string\\\"==typeof t)try{t=n.parse(t)}catch(e){t=n.parse(T.baseFontSize+\\\"px \\\"+t)}else t=n.parse(n.stringify(t));var i=n.stringify({size:T.baseFontSize,family:t.family,stretch:_?t.stretch:void 0,variant:t.variant,weight:t.weight,style:t.style}),s=p(t.size),l=Math.round(s[0]*d(s[1]));if(l!==e.fontSize[r]&&(o=!0,e.fontSize[r]=l),!(e.font[r]&&i==e.font[r].baseString||(a=!0,e.font[r]=T.fonts[i],e.font[r]))){var c=t.family.join(\\\", \\\"),u=[t.style];t.style!=t.variant&&u.push(t.variant),t.variant!=t.weight&&u.push(t.weight),_&&t.weight!=t.stretch&&u.push(t.stretch),e.font[r]={baseString:i,family:c,weight:t.weight,stretch:t.stretch,style:t.style,variant:t.variant,width:{},kerning:{},metrics:v(c,{origin:\\\"top\\\",fontSize:T.baseFontSize,fontStyle:u.join(\\\" \\\")})},T.fonts[i]=e.font[r]}})),(a||o)&&this.font.forEach((function(r,i){var a=n.stringify({size:e.fontSize[i],family:r.family,stretch:_?r.stretch:void 0,variant:r.variant,weight:r.weight,style:r.style});if(e.fontAtlas[i]=e.shader.atlas[a],!e.fontAtlas[i]){var o=r.metrics;e.shader.atlas[a]=e.fontAtlas[i]={fontString:a,step:2*Math.ceil(e.fontSize[i]*o.bottom*.5),em:e.fontSize[i],cols:0,rows:0,height:0,width:0,chars:[],ids:{},texture:e.regl.texture()}}null==t.text&&(t.text=e.text)})),\\\"string\\\"==typeof t.text&&t.position&&t.position.length>2){for(var s=Array(.5*t.position.length),h=0;h<s.length;h++)s[h]=t.text;t.text=s}if(null!=t.text||a){if(this.textOffsets=[0],Array.isArray(t.text)){this.count=t.text[0].length,this.counts=[this.count];for(var b=1;b<t.text.length;b++)this.textOffsets[b]=this.textOffsets[b-1]+t.text[b-1].length,this.count+=t.text[b].length,this.counts.push(t.text[b].length);this.text=t.text.join(\\\"\\\")}else this.text=t.text,this.count=this.text.length,this.counts=[this.count];r=[],this.font.forEach((function(t,n){T.atlasContext.font=t.baseString;for(var i=e.fontAtlas[n],a=0;a<e.text.length;a++){var o=e.text.charAt(a);if(null==i.ids[o]&&(i.ids[o]=i.chars.length,i.chars.push(o),r.push(o)),null==t.width[o]&&(t.width[o]=T.atlasContext.measureText(o).width/T.baseFontSize,e.kerning)){var s=[];for(var l in t.width)s.push(l+o,o+l);g(t.kerning,m(t.family,{pairs:s}))}}}))}if(t.position)if(t.position.length>2){for(var w=!t.position[0].length,k=u.mallocFloat(2*this.count),M=0,A=0;M<this.counts.length;M++){var S=this.counts[M];if(w)for(var E=0;E<S;E++)k[A++]=t.position[2*M],k[A++]=t.position[2*M+1];else for(var L=0;L<S;L++)k[A++]=t.position[M][0],k[A++]=t.position[M][1]}this.position.call?this.position({type:\\\"float\\\",data:k}):this.position=this.regl.buffer({type:\\\"float\\\",data:k}),u.freeFloat(k)}else this.position.destroy&&this.position.destroy(),this.position={constant:t.position};if(t.text||a){var C=u.mallocUint8(this.count),P=u.mallocFloat(2*this.count);this.textWidth=[];for(var I=0,O=0;I<this.counts.length;I++){for(var z=this.counts[I],D=this.font[I]||this.font[0],R=this.fontAtlas[I]||this.fontAtlas[0],F=0;F<z;F++){var B=this.text.charAt(O),N=this.text.charAt(O-1);if(C[O]=R.ids[B],P[2*O]=D.width[B],F){var j=P[2*O-2],U=P[2*O],V=P[2*O-1]+.5*j+.5*U;if(this.kerning){var q=D.kerning[N+B];q&&(V+=.001*q)}P[2*O+1]=V}else P[2*O+1]=.5*P[2*O];O++}this.textWidth.push(P.length?.5*P[2*O-2]+P[2*O-1]:0)}t.align||(t.align=this.align),this.charBuffer({data:C,type:\\\"uint8\\\",usage:\\\"stream\\\"}),this.sizeBuffer({data:P,type:\\\"float\\\",usage:\\\"stream\\\"}),u.freeUint8(C),u.freeFloat(P),r.length&&this.font.forEach((function(t,r){var n=e.fontAtlas[r],i=n.step,a=Math.floor(T.maxAtlasSize/i),o=Math.min(a,n.chars.length),s=Math.ceil(n.chars.length/o),l=x(o*i),u=x(s*i);n.width=l,n.height=u,n.rows=s,n.cols=o,n.em&&n.texture({data:c({canvas:T.atlasCanvas,font:n.fontString,chars:n.chars,shape:[l,u],step:[i,i]})})}))}if(t.align&&(this.align=t.align,this.alignOffset=this.textWidth.map((function(t,r){var n=Array.isArray(e.align)?e.align.length>1?e.align[r]:e.align[0]:e.align;if(\\\"number\\\"==typeof n)return n;switch(n){case\\\"right\\\":case\\\"end\\\":return-t;case\\\"center\\\":case\\\"centre\\\":case\\\"middle\\\":return.5*-t}return 0}))),null==this.baseline&&null==t.baseline&&(t.baseline=0),null!=t.baseline&&(this.baseline=t.baseline,Array.isArray(this.baseline)||(this.baseline=[this.baseline]),this.baselineOffset=this.baseline.map((function(t,r){var n=(e.font[r]||e.font[0]).metrics,i=0;return i+=.5*n.bottom,i+=\\\"number\\\"==typeof t?t-n.baseline:-n[t],T.normalViewport||(i*=-1),i}))),null!=t.color)if(t.color||(t.color=\\\"transparent\\\"),\\\"string\\\"!=typeof t.color&&isNaN(t.color)){var H;if(\\\"number\\\"==typeof t.color[0]&&t.color.length>this.counts.length){var G=t.color.length;H=u.mallocUint8(G);for(var Y=(t.color.subarray||t.color.slice).bind(t.color),W=0;W<G;W+=4)H.set(l(Y(W,W+4),\\\"uint8\\\"),W)}else{var X=t.color.length;H=u.mallocUint8(4*X);for(var Z=0;Z<X;Z++)H.set(l(t.color[Z]||0,\\\"uint8\\\"),4*Z)}this.color=H}else this.color=l(t.color,\\\"uint8\\\");if(t.position||t.text||t.color||t.baseline||t.align||t.font||t.offset||t.opacity)if(this.color.length>4||this.baselineOffset.length>1||this.align&&this.align.length>1||this.fontAtlas.length>1||this.positionOffset.length>2){var J=Math.max(.5*this.position.length||0,.25*this.color.length||0,this.baselineOffset.length||0,this.alignOffset.length||0,this.font.length||0,this.opacity.length||0,.5*this.positionOffset.length||0);this.batch=Array(J);for(var K=0;K<this.batch.length;K++)this.batch[K]={count:this.counts.length>1?this.counts[K]:this.counts[0],offset:this.textOffsets.length>1?this.textOffsets[K]:this.textOffsets[0],color:this.color?this.color.length<=4?this.color:this.color.subarray(4*K,4*K+4):[0,0,0,255],opacity:Array.isArray(this.opacity)?this.opacity[K]:this.opacity,baseline:null!=this.baselineOffset[K]?this.baselineOffset[K]:this.baselineOffset[0],align:this.align?null!=this.alignOffset[K]?this.alignOffset[K]:this.alignOffset[0]:0,atlas:this.fontAtlas[K]||this.fontAtlas[0],positionOffset:this.positionOffset.length>2?this.positionOffset.subarray(2*K,2*K+2):this.positionOffset}}else this.count?this.batch=[{count:this.count,offset:0,color:this.color||[0,0,0,255],opacity:Array.isArray(this.opacity)?this.opacity[0]:this.opacity,baseline:this.baselineOffset[0],align:this.alignOffset?this.alignOffset[0]:0,atlas:this.fontAtlas[0],positionOffset:this.positionOffset}]:this.batch=[]},T.prototype.destroy=function(){},T.prototype.kerning=!0,T.prototype.position={constant:new Float32Array(2)},T.prototype.translate=null,T.prototype.scale=null,T.prototype.font=null,T.prototype.text=\\\"\\\",T.prototype.positionOffset=[0,0],T.prototype.opacity=1,T.prototype.color=new Uint8Array([0,0,0,255]),T.prototype.alignOffset=[0,0],T.normalViewport=!1,T.maxAtlasSize=1024,T.atlasCanvas=document.createElement(\\\"canvas\\\"),T.atlasContext=T.atlasCanvas.getContext(\\\"2d\\\",{alpha:!1}),T.baseFontSize=64,T.fonts={},e.exports=T},{\\\"bit-twiddle\\\":100,\\\"color-normalize\\\":127,\\\"css-font\\\":146,\\\"detect-kerning\\\":173,\\\"es6-weak-map\\\":233,\\\"flatten-vertex-data\\\":244,\\\"font-atlas\\\":245,\\\"font-measure\\\":246,\\\"gl-util/context\\\":349,\\\"is-plain-obj\\\":449,\\\"object-assign\\\":479,\\\"parse-rect\\\":484,\\\"parse-unit\\\":486,\\\"pick-by-alias\\\":490,regl:532,\\\"to-px\\\":592,\\\"typedarray-pool\\\":609}],348:[function(t,e,r){\\\"use strict\\\";var n=t(\\\"ndarray\\\"),i=t(\\\"ndarray-ops\\\"),a=t(\\\"typedarray-pool\\\");e.exports=function(t){if(arguments.length<=1)throw new Error(\\\"gl-texture2d: Missing arguments for texture2d constructor\\\");o||c(t);if(\\\"number\\\"==typeof arguments[1])return v(t,arguments[1],arguments[2],arguments[3]||t.RGBA,arguments[4]||t.UNSIGNED_BYTE);if(Array.isArray(arguments[1]))return v(t,0|arguments[1][0],0|arguments[1][1],arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if(\\\"object\\\"==typeof arguments[1]){var e=arguments[1],r=u(e)?e:e.raw;if(r)return y(t,r,0|e.width,0|e.height,arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if(e.shape&&e.data&&e.stride)return x(t,e)}throw new Error(\\\"gl-texture2d: Invalid arguments for texture2d constructor\\\")};var o=null,s=null,l=null;function c(t){o=[t.LINEAR,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_NEAREST],s=[t.NEAREST,t.LINEAR,t.NEAREST_MIPMAP_NEAREST,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_LINEAR],l=[t.REPEAT,t.CLAMP_TO_EDGE,t.MIRRORED_REPEAT]}function u(t){return\\\"undefined\\\"!=typeof HTMLCanvasElement&&t instanceof HTMLCanvasElement||\\\"undefined\\\"!=typeof HTMLImageElement&&t instanceof HTMLImageElement||\\\"undefined\\\"!=typeof HTMLVideoElement&&t instanceof HTMLVideoElement||\\\"undefined\\\"!=typeof ImageData&&t instanceof ImageData}var f=function(t,e){i.muls(t,e,255)};function h(t,e,r){var n=t.gl,i=n.getParameter(n.MAX_TEXTURE_SIZE);if(e<0||e>i||r<0||r>i)throw new Error(\\\"gl-texture2d: Invalid texture size\\\");return t._shape=[e,r],t.bind(),n.texImage2D(n.TEXTURE_2D,0,t.format,e,r,0,t.format,t.type,null),t._mipLevels=[0],t}function p(t,e,r,n,i,a){this.gl=t,this.handle=e,this.format=i,this.type=a,this._shape=[r,n],this._mipLevels=[0],this._magFilter=t.NEAREST,this._minFilter=t.NEAREST,this._wrapS=t.CLAMP_TO_EDGE,this._wrapT=t.CLAMP_TO_EDGE,this._anisoSamples=1;var o=this,s=[this._wrapS,this._wrapT];Object.defineProperties(s,[{get:function(){return o._wrapS},set:function(t){return o.wrapS=t}},{get:function(){return o._wrapT},set:function(t){return o.wrapT=t}}]),this._wrapVector=s;var l=[this._shape[0],this._shape[1]];Object.defineProperties(l,[{get:function(){return o._shape[0]},set:function(t){return o.width=t}},{get:function(){return o._shape[1]},set:function(t){return o.height=t}}]),this._shapeVector=l}var d=p.prototype;function m(t,e){return 3===t.length?1===e[2]&&e[1]===t[0]*t[2]&&e[0]===t[2]:1===e[0]&&e[1]===t[0]}function g(t){var e=t.createTexture();return t.bindTexture(t.TEXTURE_2D,e),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MIN_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MAG_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_S,t.CLAMP_TO_EDGE),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_T,t.CLAMP_TO_EDGE),e}function v(t,e,r,n,i){var a=t.getParameter(t.MAX_TEXTURE_SIZE);if(e<0||e>a||r<0||r>a)throw new Error(\\\"gl-texture2d: Invalid texture shape\\\");if(i===t.FLOAT&&!t.getExtension(\\\"OES_texture_float\\\"))throw new Error(\\\"gl-texture2d: Floating point textures not supported on this platform\\\");var o=g(t);return t.texImage2D(t.TEXTURE_2D,0,n,e,r,0,n,i,null),new p(t,o,e,r,n,i)}function y(t,e,r,n,i,a){var o=g(t);return t.texImage2D(t.TEXTURE_2D,0,i,i,a,e),new p(t,o,r,n,i,a)}function x(t,e){var r=e.dtype,o=e.shape.slice(),s=t.getParameter(t.MAX_TEXTURE_SIZE);if(o[0]<0||o[0]>s||o[1]<0||o[1]>s)throw new Error(\\\"gl-texture2d: Invalid texture size\\\");var l=m(o,e.stride.slice()),c=0;\\\"float32\\\"===r?c=t.FLOAT:\\\"float64\\\"===r?(c=t.FLOAT,l=!1,r=\\\"float32\\\"):\\\"uint8\\\"===r?c=t.UNSIGNED_BYTE:(c=t.UNSIGNED_BYTE,l=!1,r=\\\"uint8\\\");var u,h,d=0;if(2===o.length)d=t.LUMINANCE,o=[o[0],o[1],1],e=n(e.data,o,[e.stride[0],e.stride[1],1],e.offset);else{if(3!==o.length)throw new Error(\\\"gl-texture2d: Invalid shape for texture\\\");if(1===o[2])d=t.ALPHA;else if(2===o[2])d=t.LUMINANCE_ALPHA;else if(3===o[2])d=t.RGB;else{if(4!==o[2])throw new Error(\\\"gl-texture2d: Invalid shape for pixel coords\\\");d=t.RGBA}}c!==t.FLOAT||t.getExtension(\\\"OES_texture_float\\\")||(c=t.UNSIGNED_BYTE,l=!1);var v=e.size;if(l)u=0===e.offset&&e.data.length===v?e.data:e.data.subarray(e.offset,e.offset+v);else{var y=[o[2],o[2]*o[0],1];h=a.malloc(v,r);var x=n(h,o,y,0);\\\"float32\\\"!==r&&\\\"float64\\\"!==r||c!==t.UNSIGNED_BYTE?i.assign(x,e):f(x,e),u=h.subarray(0,v)}var b=g(t);return t.texImage2D(t.TEXTURE_2D,0,d,o[0],o[1],0,d,c,u),l||a.free(h),new p(t,b,o[0],o[1],d,c)}Object.defineProperties(d,{minFilter:{get:function(){return this._minFilter},set:function(t){this.bind();var e=this.gl;if(this.type===e.FLOAT&&o.indexOf(t)>=0&&(e.getExtension(\\\"OES_texture_float_linear\\\")||(t=e.NEAREST)),s.indexOf(t)<0)throw new Error(\\\"gl-texture2d: Unknown filter mode \\\"+t);return e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,t),this._minFilter=t}},magFilter:{get:function(){return this._magFilter},set:function(t){this.bind();var e=this.gl;if(this.type===e.FLOAT&&o.indexOf(t)>=0&&(e.getExtension(\\\"OES_texture_float_linear\\\")||(t=e.NEAREST)),s.indexOf(t)<0)throw new Error(\\\"gl-texture2d: Unknown filter mode \\\"+t);return e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,t),this._magFilter=t}},mipSamples:{get:function(){return this._anisoSamples},set:function(t){var e=this._anisoSamples;if(this._anisoSamples=0|Math.max(t,1),e!==this._anisoSamples){var r=this.gl.getExtension(\\\"EXT_texture_filter_anisotropic\\\");r&&this.gl.texParameterf(this.gl.TEXTURE_2D,r.TEXTURE_MAX_ANISOTROPY_EXT,this._anisoSamples)}return this._anisoSamples}},wrapS:{get:function(){return this._wrapS},set:function(t){if(this.bind(),l.indexOf(t)<0)throw new Error(\\\"gl-texture2d: Unknown wrap mode \\\"+t);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_S,t),this._wrapS=t}},wrapT:{get:function(){return this._wrapT},set:function(t){if(this.bind(),l.indexOf(t)<0)throw new Error(\\\"gl-texture2d: Unknown wrap mode \\\"+t);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_T,t),this._wrapT=t}},wrap:{get:function(){return this._wrapVector},set:function(t){if(Array.isArray(t)||(t=[t,t]),2!==t.length)throw new Error(\\\"gl-texture2d: Must specify wrap mode for rows and columns\\\");for(var e=0;e<2;++e)if(l.indexOf(t[e])<0)throw new Error(\\\"gl-texture2d: Unknown wrap mode \\\"+t);this._wrapS=t[0],this._wrapT=t[1];var r=this.gl;return this.bind(),r.texParameteri(r.TEXTURE_2D,r.TEXTURE_WRAP_S,this._wrapS),r.texParameteri(r.TEXTURE_2D,r.TEXTURE_WRAP_T,this._wrapT),t}},shape:{get:function(){return this._shapeVector},set:function(t){if(Array.isArray(t)){if(2!==t.length)throw new Error(\\\"gl-texture2d: Invalid texture shape\\\")}else t=[0|t,0|t];return h(this,0|t[0],0|t[1]),[0|t[0],0|t[1]]}},width:{get:function(){return this._shape[0]},set:function(t){return h(this,t|=0,this._shape[1]),t}},height:{get:function(){return this._shape[1]},set:function(t){return t|=0,h(this,this._shape[0],t),t}}}),d.bind=function(t){var e=this.gl;return void 0!==t&&e.activeTexture(e.TEXTURE0+(0|t)),e.bindTexture(e.TEXTURE_2D,this.handle),void 0!==t?0|t:e.getParameter(e.ACTIVE_TEXTURE)-e.TEXTURE0},d.dispose=function(){this.gl.deleteTexture(this.handle)},d.generateMipmap=function(){this.bind(),this.gl.generateMipmap(this.gl.TEXTURE_2D);for(var t=Math.min(this._shape[0],this._shape[1]),e=0;t>0;++e,t>>>=1)this._mipLevels.indexOf(e)<0&&this._mipLevels.push(e)},d.setPixels=function(t,e,r,o){var s=this.gl;this.bind(),Array.isArray(e)?(o=r,r=0|e[1],e=0|e[0]):(e=e||0,r=r||0),o=o||0;var l=u(t)?t:t.raw;if(l){this._mipLevels.indexOf(o)<0?(s.texImage2D(s.TEXTURE_2D,0,this.format,this.format,this.type,l),this._mipLevels.push(o)):s.texSubImage2D(s.TEXTURE_2D,o,e,r,this.format,this.type,l)}else{if(!(t.shape&&t.stride&&t.data))throw new Error(\\\"gl-texture2d: Unsupported data type\\\");if(t.shape.length<2||e+t.shape[1]>this._shape[1]>>>o||r+t.shape[0]>this._shape[0]>>>o||e<0||r<0)throw new Error(\\\"gl-texture2d: Texture dimensions are out of bounds\\\");!function(t,e,r,o,s,l,c,u){var h=u.dtype,p=u.shape.slice();if(p.length<2||p.length>3)throw new Error(\\\"gl-texture2d: Invalid ndarray, must be 2d or 3d\\\");var d=0,g=0,v=m(p,u.stride.slice());\\\"float32\\\"===h?d=t.FLOAT:\\\"float64\\\"===h?(d=t.FLOAT,v=!1,h=\\\"float32\\\"):\\\"uint8\\\"===h?d=t.UNSIGNED_BYTE:(d=t.UNSIGNED_BYTE,v=!1,h=\\\"uint8\\\");if(2===p.length)g=t.LUMINANCE,p=[p[0],p[1],1],u=n(u.data,p,[u.stride[0],u.stride[1],1],u.offset);else{if(3!==p.length)throw new Error(\\\"gl-texture2d: Invalid shape for texture\\\");if(1===p[2])g=t.ALPHA;else if(2===p[2])g=t.LUMINANCE_ALPHA;else if(3===p[2])g=t.RGB;else{if(4!==p[2])throw new Error(\\\"gl-texture2d: Invalid shape for pixel coords\\\");g=t.RGBA}p[2]}g!==t.LUMINANCE&&g!==t.ALPHA||s!==t.LUMINANCE&&s!==t.ALPHA||(g=s);if(g!==s)throw new Error(\\\"gl-texture2d: Incompatible texture format for setPixels\\\");var y=u.size,x=c.indexOf(o)<0;x&&c.push(o);if(d===l&&v)0===u.offset&&u.data.length===y?x?t.texImage2D(t.TEXTURE_2D,o,s,p[0],p[1],0,s,l,u.data):t.texSubImage2D(t.TEXTURE_2D,o,e,r,p[0],p[1],s,l,u.data):x?t.texImage2D(t.TEXTURE_2D,o,s,p[0],p[1],0,s,l,u.data.subarray(u.offset,u.offset+y)):t.texSubImage2D(t.TEXTURE_2D,o,e,r,p[0],p[1],s,l,u.data.subarray(u.offset,u.offset+y));else{var b;b=l===t.FLOAT?a.mallocFloat32(y):a.mallocUint8(y);var _=n(b,p,[p[2],p[2]*p[0],1]);d===t.FLOAT&&l===t.UNSIGNED_BYTE?f(_,u):i.assign(_,u),x?t.texImage2D(t.TEXTURE_2D,o,s,p[0],p[1],0,s,l,b.subarray(0,y)):t.texSubImage2D(t.TEXTURE_2D,o,e,r,p[0],p[1],s,l,b.subarray(0,y)),l===t.FLOAT?a.freeFloat32(b):a.freeUint8(b)}}(s,e,r,o,this.format,this.type,this._mipLevels,t)}}},{ndarray:475,\\\"ndarray-ops\\\":470,\\\"typedarray-pool\\\":609}],349:[function(t,e,r){(function(r){(function(){\\\"use strict\\\";var n=t(\\\"pick-by-alias\\\");function i(t){if(t.container)if(t.container==document.body)document.body.style.width||(t.canvas.width=t.width||t.pixelRatio*r.innerWidth),document.body.style.height||(t.canvas.height=t.height||t.pixelRatio*r.innerHeight);else{var e=t.container.getBoundingClientRect();t.canvas.width=t.width||e.right-e.left,t.canvas.height=t.height||e.bottom-e.top}}function a(t){return\\\"function\\\"==typeof t.getContext&&\\\"width\\\"in t&&\\\"height\\\"in t}function o(){var t=document.createElement(\\\"canvas\\\");return t.style.position=\\\"absolute\\\",t.style.top=0,t.style.left=0,t}e.exports=function(t){var e;if(t?\\\"string\\\"==typeof t&&(t={container:t}):t={},a(t)?t={container:t}:t=\\\"string\\\"==typeof(e=t).nodeName&&\\\"function\\\"==typeof e.appendChild&&\\\"function\\\"==typeof e.getBoundingClientRect?{container:t}:function(t){return\\\"function\\\"==typeof t.drawArrays||\\\"function\\\"==typeof t.drawElements}(t)?{gl:t}:n(t,{container:\\\"container target element el canvas holder parent parentNode 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e=this.needle.evaluate(t),r=this.haystack.evaluate(t);if(!Qt(e,[\\\"boolean\\\",\\\"string\\\",\\\"number\\\",\\\"null\\\"]))throw new ue(\\\"Expected first argument to be of type boolean, string, number or null, but found \\\"+Xt(se(e))+\\\" instead.\\\");if(!Qt(r,[\\\"string\\\",\\\"array\\\"]))throw new ue(\\\"Expected second argument to be of type array or string, but found \\\"+Xt(se(r))+\\\" instead.\\\");if(this.fromIndex){var n=this.fromIndex.evaluate(t);return r.indexOf(e,n)}return r.indexOf(e)},hr.prototype.eachChild=function(t){t(this.needle),t(this.haystack),this.fromIndex&&t(this.fromIndex)},hr.prototype.outputDefined=function(){return!1},hr.prototype.serialize=function(){if(null!=this.fromIndex&&void 0!==this.fromIndex){var t=this.fromIndex.serialize();return[\\\"index-of\\\",this.needle.serialize(),this.haystack.serialize(),t]}return[\\\"index-of\\\",this.needle.serialize(),this.haystack.serialize()]};var 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r=e.value.expression||e.value._styleExpression.expression;if(\\\"property\\\"===t.expressionContext&&\\\"text-font\\\"===t.propertyKey&&!r.outputDefined())return[new Ct(t.key,t.value,'Invalid data expression for \\\"'+t.propertyKey+'\\\". 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Ct(e,r,\\\"expected one of [\\\"+n.values.join(\\\", \\\")+\\\"], \\\"+JSON.stringify(r)+\\\" found\\\")):-1===Object.keys(n.values).indexOf(Ot(r))&&i.push(new Ct(e,r,\\\"expected one of [\\\"+Object.keys(n.values).join(\\\", \\\")+\\\"], \\\"+JSON.stringify(r)+\\\" found\\\")),i}function an(t){if(!0===t||!1===t)return!0;if(!Array.isArray(t)||0===t.length)return!1;switch(t[0]){case\\\"has\\\":return t.length>=2&&\\\"$id\\\"!==t[1]&&\\\"$type\\\"!==t[1];case\\\"in\\\":return t.length>=3&&(\\\"string\\\"!=typeof t[1]||Array.isArray(t[2]));case\\\"!in\\\":case\\\"!has\\\":case\\\"none\\\":return!1;case\\\"==\\\":case\\\"!=\\\":case\\\">\\\":case\\\">=\\\":case\\\"<\\\":case\\\"<=\\\":return 3!==t.length||Array.isArray(t[1])||Array.isArray(t[2]);case\\\"any\\\":case\\\"all\\\":for(var e=0,r=t.slice(1);e<r.length;e+=1){var n=r[e];if(!an(n)&&\\\"boolean\\\"!=typeof n)return!1}return!0;default:return!0}}Kr.deserialize=function(t){return new Kr(t._parameters,t._specification)},Kr.serialize=function(t){return{_parameters:t._parameters,_specification:t._specification}};var on={type:\\\"boolean\\\",default:!1,transition:!1,\\\"property-type\\\":\\\"data-driven\\\",expression:{interpolated:!1,parameters:[\\\"zoom\\\",\\\"feature\\\"]}};function sn(t){if(null==t)return{filter:function(){return!0},needGeometry:!1};an(t)||(t=cn(t));var e=Wr(t,on);if(\\\"error\\\"===e.result)throw new Error(e.value.map((function(t){return t.key+\\\": \\\"+t.message})).join(\\\", \\\"));return{filter:function(t,r,n){return e.value.evaluate(t,r,{},n)},needGeometry:function t(e){if(!Array.isArray(e))return!1;if(\\\"within\\\"===e[0])return!0;for(var r=1;r<e.length;r++)if(t(e[r]))return!0;return!1}(t)}}function ln(t,e){return t<e?-1:t>e?1:0}function cn(t){if(!t)return!0;var e,r=t[0];return 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Qr({layer:r,key:t.key,value:t.value,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{\\\"*\\\":function(t){return gn(It({layerType:s},t))}}})}}}))}function xn(t){var e=t.value,r=t.key,n=Fr(e);return\\\"string\\\"!==n?[new Ct(r,e,\\\"string expected, \\\"+n+\\\" found\\\")]:[]}var bn={promoteId:function(t){var e=t.key,r=t.value;if(\\\"string\\\"===Fr(r))return xn({key:e,value:r});var n=[];for(var i in r)n.push.apply(n,xn({key:e+\\\".\\\"+i,value:r[i]}));return n}};function _n(t){var e=t.value,r=t.key,n=t.styleSpec,i=t.style;if(!e.type)return[new Ct(r,e,'\\\"type\\\" is required')];var a,o=Ot(e.type);switch(o){case\\\"vector\\\":case\\\"raster\\\":case\\\"raster-dem\\\":return a=Qr({key:r,value:e,valueSpec:n[\\\"source_\\\"+o.replace(\\\"-\\\",\\\"_\\\")],style:t.style,styleSpec:n,objectElementValidators:bn});case\\\"geojson\\\":if(a=Qr({key:r,value:e,valueSpec:n.source_geojson,style:i,styleSpec:n,objectElementValidators:bn}),e.cluster)for(var s in e.clusterProperties){var l=e.clusterProperties[s],c=l[0],u=l[1],f=\\\"string\\\"==typeof c?[c,[\\\"accumulated\\\"],[\\\"get\\\",s]]:c;a.push.apply(a,rn({key:r+\\\".\\\"+s+\\\".map\\\",value:u,expressionContext:\\\"cluster-map\\\"})),a.push.apply(a,rn({key:r+\\\".\\\"+s+\\\".reduce\\\",value:f,expressionContext:\\\"cluster-reduce\\\"}))}return a;case\\\"video\\\":return Qr({key:r,value:e,valueSpec:n.source_video,style:i,styleSpec:n});case\\\"image\\\":return Qr({key:r,value:e,valueSpec:n.source_image,style:i,styleSpec:n});case\\\"canvas\\\":return[new Ct(r,null,\\\"Please use runtime APIs to add canvas sources, rather than including them in stylesheets.\\\",\\\"source.canvas\\\")];default:return nn({key:r+\\\".type\\\",value:e.type,valueSpec:{values:[\\\"vector\\\",\\\"raster\\\",\\\"raster-dem\\\",\\\"geojson\\\",\\\"video\\\",\\\"image\\\"]},style:i,styleSpec:n})}}function wn(t){var e=t.value,r=t.styleSpec,n=r.light,i=t.style,a=[],o=Fr(e);if(void 0===e)return a;if(\\\"object\\\"!==o)return a=a.concat([new Ct(\\\"light\\\",e,\\\"object expected, \\\"+o+\\\" found\\\")]);for(var s in e){var l=s.match(/^(.*)-transition$/);a=l&&n[l[1]]&&n[l[1]].transition?a.concat(kn({key:s,value:e[s],valueSpec:r.transition,style:i,styleSpec:r})):n[s]?a.concat(kn({key:s,value:e[s],valueSpec:n[s],style:i,styleSpec:r})):a.concat([new Ct(s,e[s],'unknown property \\\"'+s+'\\\"')])}return a}var Tn={\\\"*\\\":function(){return[]},array:$r,boolean:function(t){var e=t.value,r=t.key,n=Fr(e);return\\\"boolean\\\"!==n?[new Ct(r,e,\\\"boolean expected, \\\"+n+\\\" found\\\")]:[]},number:tn,color:function(t){var e=t.key,r=t.value,n=Fr(r);return\\\"string\\\"!==n?[new Ct(e,r,\\\"color expected, \\\"+n+\\\" found\\\")]:null===$t(r)?[new Ct(e,r,'color expected, \\\"'+r+'\\\" found')]:[]},constants:Pt,enum:nn,filter:dn,function:en,layer:yn,object:Qr,source:_n,light:wn,string:xn,formatted:function(t){return 0===xn(t).length?[]:rn(t)},resolvedImage:function(t){return 0===xn(t).length?[]:rn(t)}};function kn(t){var e=t.value,r=t.valueSpec,n=t.styleSpec;return r.expression&&Br(Ot(e))?en(t):r.expression&&Yr(zt(e))?rn(t):r.type&&Tn[r.type]?Tn[r.type](t):Qr(It({},t,{valueSpec:r.type?n[r.type]:r}))}function Mn(t){var e=t.value,r=t.key,n=xn(t);return n.length||(-1===e.indexOf(\\\"{fontstack}\\\")&&n.push(new Ct(r,e,'\\\"glyphs\\\" url must include a \\\"{fontstack}\\\" token')),-1===e.indexOf(\\\"{range}\\\")&&n.push(new Ct(r,e,'\\\"glyphs\\\" url must include a \\\"{range}\\\" token'))),n}function An(t,e){void 0===e&&(e=Lt);var r=[];return r=r.concat(kn({key:\\\"\\\",value:t,valueSpec:e.$root,styleSpec:e,style:t,objectElementValidators:{glyphs:Mn,\\\"*\\\":function(){return[]}}})),t.constants&&(r=r.concat(Pt({key:\\\"constants\\\",value:t.constants,style:t,styleSpec:e}))),Sn(r)}function Sn(t){return[].concat(t).sort((function(t,e){return t.line-e.line}))}function En(t){return function(){for(var e=[],r=arguments.length;r--;)e[r]=arguments[r];return 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l=this._convertToCellCoord(t),c=this._convertToCellCoord(e),u=this._convertToCellCoord(r),f=this._convertToCellCoord(n),h=l;h<=u;h++)for(var p=c;p<=f;p++){var d=this.d*p+h;if((!s||s(this._convertFromCellCoord(h),this._convertFromCellCoord(p),this._convertFromCellCoord(h+1),this._convertFromCellCoord(p+1)))&&i.call(this,t,e,r,n,d,a,o,s))return}},Dn.prototype._convertFromCellCoord=function(t){return(t-this.padding)/this.scale},Dn.prototype._convertToCellCoord=function(t){return Math.max(0,Math.min(this.d-1,Math.floor(t*this.scale)+this.padding))},Dn.prototype.toArrayBuffer=function(){if(this.arrayBuffer)return this.arrayBuffer;for(var t=this.cells,e=3+this.cells.length+1+1,r=0,n=0;n<this.cells.length;n++)r+=this.cells[n].length;var i=new Int32Array(e+r+this.keys.length+this.bboxes.length);i[0]=this.extent,i[1]=this.n,i[2]=this.padding;for(var a=e,o=0;o<t.length;o++){var s=t[o];i[3+o]=a,i.set(s,a),a+=s.length}return 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di=function(t,e){this.property=t,this.value=e,this.expression=function(t,e){if(Br(t))return new Kr(t,e);if(Yr(t)){var r=Jr(t,e);if(\\\"error\\\"===r.result)throw new Error(r.value.map((function(t){return t.key+\\\": \\\"+t.message})).join(\\\", \\\"));return r.value}var n=t;return\\\"string\\\"==typeof t&&\\\"color\\\"===e.type&&(n=te.parse(t)),{kind:\\\"constant\\\",evaluate:function(){return n}}}(void 0===e?t.specification.default:e,t.specification)};di.prototype.isDataDriven=function(){return\\\"source\\\"===this.expression.kind||\\\"composite\\\"===this.expression.kind},di.prototype.possiblyEvaluate=function(t,e,r){return this.property.possiblyEvaluate(this,t,e,r)};var mi=function(t){this.property=t,this.value=new di(t,void 0)};mi.prototype.transitioned=function(t,e){return new vi(this.property,this.value,e,u({},t.transition,this.transition),t.now)},mi.prototype.untransitioned=function(){return new vi(this.property,this.value,null,{},0)};var 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_i(this._properties),i=0,a=Object.keys(this._values);i<a.length;i+=1){var o=a[i];n._values[o]=this._values[o].possiblyEvaluate(t,e,r)}return n};var bi=function(t,e,r){this.property=t,this.value=e,this.parameters=r};bi.prototype.isConstant=function(){return\\\"constant\\\"===this.value.kind},bi.prototype.constantOr=function(t){return\\\"constant\\\"===this.value.kind?this.value.value:t},bi.prototype.evaluate=function(t,e,r,n){return this.property.evaluate(this.value,this.parameters,t,e,r,n)};var _i=function(t){this._properties=t,this._values=Object.create(t.defaultPossiblyEvaluatedValues)};_i.prototype.get=function(t){return this._values[t]};var wi=function(t){this.specification=t};wi.prototype.possiblyEvaluate=function(t,e){return t.expression.evaluate(e)},wi.prototype.interpolate=function(t,e,r){var n=Ge[this.specification.type];return n?n(t,e,r):t};var Ti=function(t,e){this.specification=t,this.overrides=e};Ti.prototype.possiblyEvaluate=function(t,e,r,n){return\\\"constant\\\"===t.expression.kind||\\\"camera\\\"===t.expression.kind?new bi(this,{kind:\\\"constant\\\",value:t.expression.evaluate(e,null,{},r,n)},e):new bi(this,t.expression,e)},Ti.prototype.interpolate=function(t,e,r){if(\\\"constant\\\"!==t.value.kind||\\\"constant\\\"!==e.value.kind)return t;if(void 0===t.value.value||void 0===e.value.value)return new bi(this,{kind:\\\"constant\\\",value:void 0},t.parameters);var n=Ge[this.specification.type];return n?new bi(this,{kind:\\\"constant\\\",value:n(t.value.value,e.value.value,r)},t.parameters):t},Ti.prototype.evaluate=function(t,e,r,n,i,a){return\\\"constant\\\"===t.kind?t.value:t.evaluate(e,r,n,i,a)};var ki=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.possiblyEvaluate=function(t,e,r,n){if(void 0===t.value)return new bi(this,{kind:\\\"constant\\\",value:void 0},e);if(\\\"constant\\\"===t.expression.kind){var i=t.expression.evaluate(e,null,{},r,n),a=\\\"resolvedImage\\\"===t.property.specification.type&&\\\"string\\\"!=typeof i?i.name:i,o=this._calculate(a,a,a,e);return new bi(this,{kind:\\\"constant\\\",value:o},e)}if(\\\"camera\\\"===t.expression.kind){var s=this._calculate(t.expression.evaluate({zoom:e.zoom-1}),t.expression.evaluate({zoom:e.zoom}),t.expression.evaluate({zoom:e.zoom+1}),e);return new bi(this,{kind:\\\"constant\\\",value:s},e)}return new bi(this,t.expression,e)},e.prototype.evaluate=function(t,e,r,n,i,a){if(\\\"source\\\"===t.kind){var o=t.evaluate(e,r,n,i,a);return this._calculate(o,o,o,e)}return\\\"composite\\\"===t.kind?this._calculate(t.evaluate({zoom:Math.floor(e.zoom)-1},r,n),t.evaluate({zoom:Math.floor(e.zoom)},r,n),t.evaluate({zoom:Math.floor(e.zoom)+1},r,n),e):t.value},e.prototype._calculate=function(t,e,r,n){return n.zoom>n.zoomHistory.lastIntegerZoom?{from:t,to:e}:{from:r,to:e}},e.prototype.interpolate=function(t){return t},e}(Ti),Mi=function(t){this.specification=t};Mi.prototype.possiblyEvaluate=function(t,e,r,n){if(void 0!==t.value){if(\\\"constant\\\"===t.expression.kind){var i=t.expression.evaluate(e,null,{},r,n);return this._calculate(i,i,i,e)}return this._calculate(t.expression.evaluate(new pi(Math.floor(e.zoom-1),e)),t.expression.evaluate(new pi(Math.floor(e.zoom),e)),t.expression.evaluate(new pi(Math.floor(e.zoom+1),e)),e)}},Mi.prototype._calculate=function(t,e,r,n){return n.zoom>n.zoomHistory.lastIntegerZoom?{from:t,to:e}:{from:r,to:e}},Mi.prototype.interpolate=function(t){return t};var Ai=function(t){this.specification=t};Ai.prototype.possiblyEvaluate=function(t,e,r,n){return!!t.expression.evaluate(e,null,{},r,n)},Ai.prototype.interpolate=function(){return!1};var Si=function(t){for(var e in this.properties=t,this.defaultPropertyValues={},this.defaultTransitionablePropertyValues={},this.defaultTransitioningPropertyValues={},this.defaultPossiblyEvaluatedValues={},this.overridableProperties=[],t){var r=t[e];r.specification.overridable&&this.overridableProperties.push(e);var n=this.defaultPropertyValues[e]=new di(r,void 0),i=this.defaultTransitionablePropertyValues[e]=new mi(r);this.defaultTransitioningPropertyValues[e]=i.untransitioned(),this.defaultPossiblyEvaluatedValues[e]=n.possiblyEvaluate({})}};Nn(\\\"DataDrivenProperty\\\",Ti),Nn(\\\"DataConstantProperty\\\",wi),Nn(\\\"CrossFadedDataDrivenProperty\\\",ki),Nn(\\\"CrossFadedProperty\\\",Mi),Nn(\\\"ColorRampProperty\\\",Ai);var Ei=function(t){function e(e,r){if(t.call(this),this.id=e.id,this.type=e.type,this._featureFilter={filter:function(){return!0},needGeometry:!1},\\\"custom\\\"!==e.type&&(e=e,this.metadata=e.metadata,this.minzoom=e.minzoom,this.maxzoom=e.maxzoom,\\\"background\\\"!==e.type&&(this.source=e.source,this.sourceLayer=e[\\\"source-layer\\\"],this.filter=e.filter),r.layout&&(this._unevaluatedLayout=new xi(r.layout)),r.paint)){for(var n in this._transitionablePaint=new gi(r.paint),e.paint)this.setPaintProperty(n,e.paint[n],{validate:!1});for(var i in e.layout)this.setLayoutProperty(i,e.layout[i],{validate:!1});this._transitioningPaint=this._transitionablePaint.untransitioned(),this.paint=new _i(r.paint)}}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getCrossfadeParameters=function(){return this._crossfadeParameters},e.prototype.getLayoutProperty=function(t){return\\\"visibility\\\"===t?this.visibility:this._unevaluatedLayout.getValue(t)},e.prototype.setLayoutProperty=function(t,e,r){if(void 0===r&&(r={}),null!=e){var n=\\\"layers.\\\"+this.id+\\\".layout.\\\"+t;if(this._validate(In,n,t,e,r))return}\\\"visibility\\\"!==t?this._unevaluatedLayout.setValue(t,e):this.visibility=e},e.prototype.getPaintProperty=function(t){return g(t,\\\"-transition\\\")?this._transitionablePaint.getTransition(t.slice(0,-\\\"-transition\\\".length)):this._transitionablePaint.getValue(t)},e.prototype.setPaintProperty=function(t,e,r){if(void 0===r&&(r={}),null!=e){var n=\\\"layers.\\\"+this.id+\\\".paint.\\\"+t;if(this._validate(Pn,n,t,e,r))return!1}if(g(t,\\\"-transition\\\"))return this._transitionablePaint.setTransition(t.slice(0,-\\\"-transition\\\".length),e||void 0),!1;var i=this._transitionablePaint._values[t],a=\\\"cross-faded-data-driven\\\"===i.property.specification[\\\"property-type\\\"],o=i.value.isDataDriven(),s=i.value;this._transitionablePaint.setValue(t,e),this._handleSpecialPaintPropertyUpdate(t);var l=this._transitionablePaint._values[t].value;return l.isDataDriven()||o||a||this._handleOverridablePaintPropertyUpdate(t,s,l)},e.prototype._handleSpecialPaintPropertyUpdate=function(t){},e.prototype._handleOverridablePaintPropertyUpdate=function(t,e,r){return!1},e.prototype.isHidden=function(t){return!!(this.minzoom&&t<this.minzoom)||(!!(this.maxzoom&&t>=this.maxzoom)||\\\"none\\\"===this.visibility)},e.prototype.updateTransitions=function(t){this._transitioningPaint=this._transitionablePaint.transitioned(t,this._transitioningPaint)},e.prototype.hasTransition=function(){return this._transitioningPaint.hasTransition()},e.prototype.recalculate=function(t,e){t.getCrossfadeParameters&&(this._crossfadeParameters=t.getCrossfadeParameters()),this._unevaluatedLayout&&(this.layout=this._unevaluatedLayout.possiblyEvaluate(t,void 0,e)),this.paint=this._transitioningPaint.possiblyEvaluate(t,void 0,e)},e.prototype.serialize=function(){var t={id:this.id,type:this.type,source:this.source,\\\"source-layer\\\":this.sourceLayer,metadata:this.metadata,minzoom:this.minzoom,maxzoom:this.maxzoom,filter:this.filter,layout:this._unevaluatedLayout&&this._unevaluatedLayout.serialize(),paint:this._transitionablePaint&&this._transitionablePaint.serialize()};return this.visibility&&(t.layout=t.layout||{},t.layout.visibility=this.visibility),y(t,(function(t,e){return!(void 0===t||\\\"layout\\\"===e&&!Object.keys(t).length||\\\"paint\\\"===e&&!Object.keys(t).length)}))},e.prototype._validate=function(t,e,r,n,i){return void 0===i&&(i={}),(!i||!1!==i.validate)&&On(this,t.call(Ln,{key:e,layerType:this.type,objectKey:r,value:n,styleSpec:Lt,style:{glyphs:!0,sprite:!0}}))},e.prototype.is3D=function(){return!1},e.prototype.isTileClipped=function(){return!1},e.prototype.hasOffscreenPass=function(){return!1},e.prototype.resize=function(){},e.prototype.isStateDependent=function(){for(var t in this.paint._values){var e=this.paint.get(t);if(e instanceof bi&&zr(e.property.specification)&&((\\\"source\\\"===e.value.kind||\\\"composite\\\"===e.value.kind)&&e.value.isStateDependent))return!0}return!1},e}(Et),Li={Int8:Int8Array,Uint8:Uint8Array,Int16:Int16Array,Uint16:Uint16Array,Int32:Int32Array,Uint32:Uint32Array,Float32:Float32Array},Ci=function(t,e){this._structArray=t,this._pos1=e*this.size,this._pos2=this._pos1/2,this._pos4=this._pos1/4,this._pos8=this._pos1/8},Pi=function(){this.isTransferred=!1,this.capacity=-1,this.resize(0)};function Ii(t,e){void 0===e&&(e=1);var r=0,n=0;return{members:t.map((function(t){var i,a=(i=t.type,Li[i].BYTES_PER_ELEMENT),o=r=Oi(r,Math.max(e,a)),s=t.components||1;return n=Math.max(n,a),r+=a*s,{name:t.name,type:t.type,components:s,offset:o}})),size:Oi(r,Math.max(n,e)),alignment:e}}function Oi(t,e){return Math.ceil(t/e)*e}Pi.serialize=function(t,e){return t._trim(),e&&(t.isTransferred=!0,e.push(t.arrayBuffer)),{length:t.length,arrayBuffer:t.arrayBuffer}},Pi.deserialize=function(t){var e=Object.create(this.prototype);return e.arrayBuffer=t.arrayBuffer,e.length=t.length,e.capacity=t.arrayBuffer.byteLength/e.bytesPerElement,e._refreshViews(),e},Pi.prototype._trim=function(){this.length!==this.capacity&&(this.capacity=this.length,this.arrayBuffer=this.arrayBuffer.slice(0,this.length*this.bytesPerElement),this._refreshViews())},Pi.prototype.clear=function(){this.length=0},Pi.prototype.resize=function(t){this.reserve(t),this.length=t},Pi.prototype.reserve=function(t){if(t>this.capacity){this.capacity=Math.max(t,Math.floor(5*this.capacity),128),this.arrayBuffer=new ArrayBuffer(this.capacity*this.bytesPerElement);var e=this.uint8;this._refreshViews(),e&&this.uint8.set(e)}},Pi.prototype._refreshViews=function(){throw new Error(\\\"_refreshViews() must be implemented by each concrete StructArray layout\\\")};var zi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.int16[n+0]=e,this.int16[n+1]=r,t},e}(Pi);zi.prototype.bytesPerElement=4,Nn(\\\"StructArrayLayout2i4\\\",zi);var Di=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,i){var a=4*t;return this.int16[a+0]=e,this.int16[a+1]=r,this.int16[a+2]=n,this.int16[a+3]=i,t},e}(Pi);Di.prototype.bytesPerElement=8,Nn(\\\"StructArrayLayout4i8\\\",Di);var Ri=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=6*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.int16[s+2]=n,this.int16[s+3]=i,this.int16[s+4]=a,this.int16[s+5]=o,t},e}(Pi);Ri.prototype.bytesPerElement=12,Nn(\\\"StructArrayLayout2i4i12\\\",Ri);var Fi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=4*t,l=8*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.uint8[l+4]=n,this.uint8[l+5]=i,this.uint8[l+6]=a,this.uint8[l+7]=o,t},e}(Pi);Fi.prototype.bytesPerElement=8,Nn(\\\"StructArrayLayout2i4ub8\\\",Fi);var Bi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c){var u=this.length;return this.resize(u+1),this.emplace(u,t,e,r,n,i,a,o,s,l,c)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u){var f=9*t,h=18*t;return this.uint16[f+0]=e,this.uint16[f+1]=r,this.uint16[f+2]=n,this.uint16[f+3]=i,this.uint16[f+4]=a,this.uint16[f+5]=o,this.uint16[f+6]=s,this.uint16[f+7]=l,this.uint8[h+16]=c,this.uint8[h+17]=u,t},e}(Pi);Bi.prototype.bytesPerElement=18,Nn(\\\"StructArrayLayout8ui2ub18\\\",Bi);var Ni=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c,u,f){var h=this.length;return this.resize(h+1),this.emplace(h,t,e,r,n,i,a,o,s,l,c,u,f)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u,f,h){var p=12*t;return this.int16[p+0]=e,this.int16[p+1]=r,this.int16[p+2]=n,this.int16[p+3]=i,this.uint16[p+4]=a,this.uint16[p+5]=o,this.uint16[p+6]=s,this.uint16[p+7]=l,this.int16[p+8]=c,this.int16[p+9]=u,this.int16[p+10]=f,this.int16[p+11]=h,t},e}(Pi);Ni.prototype.bytesPerElement=24,Nn(\\\"StructArrayLayout4i4ui4i24\\\",Ni);var ji=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.float32[i+0]=e,this.float32[i+1]=r,this.float32[i+2]=n,t},e}(Pi);ji.prototype.bytesPerElement=12,Nn(\\\"StructArrayLayout3f12\\\",ji);var Ui=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.uint32[r+0]=e,t},e}(Pi);Ui.prototype.bytesPerElement=4,Nn(\\\"StructArrayLayout1ul4\\\",Ui);var Vi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l){var c=this.length;return this.resize(c+1),this.emplace(c,t,e,r,n,i,a,o,s,l)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c){var u=10*t,f=5*t;return this.int16[u+0]=e,this.int16[u+1]=r,this.int16[u+2]=n,this.int16[u+3]=i,this.int16[u+4]=a,this.int16[u+5]=o,this.uint32[f+3]=s,this.uint16[u+8]=l,this.uint16[u+9]=c,t},e}(Pi);Vi.prototype.bytesPerElement=20,Nn(\\\"StructArrayLayout6i1ul2ui20\\\",Vi);var qi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=6*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.int16[s+2]=n,this.int16[s+3]=i,this.int16[s+4]=a,this.int16[s+5]=o,t},e}(Pi);qi.prototype.bytesPerElement=12,Nn(\\\"StructArrayLayout2i2i2i12\\\",qi);var Hi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i){var a=this.length;return this.resize(a+1),this.emplace(a,t,e,r,n,i)},e.prototype.emplace=function(t,e,r,n,i,a){var o=4*t,s=8*t;return this.float32[o+0]=e,this.float32[o+1]=r,this.float32[o+2]=n,this.int16[s+6]=i,this.int16[s+7]=a,t},e}(Pi);Hi.prototype.bytesPerElement=16,Nn(\\\"StructArrayLayout2f1f2i16\\\",Hi);var Gi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,i){var a=12*t,o=3*t;return this.uint8[a+0]=e,this.uint8[a+1]=r,this.float32[o+1]=n,this.float32[o+2]=i,t},e}(Pi);Gi.prototype.bytesPerElement=12,Nn(\\\"StructArrayLayout2ub2f12\\\",Gi);var Yi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.uint16[i+0]=e,this.uint16[i+1]=r,this.uint16[i+2]=n,t},e}(Pi);Yi.prototype.bytesPerElement=6,Nn(\\\"StructArrayLayout3ui6\\\",Yi);var Wi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,m,g){var v=this.length;return this.resize(v+1),this.emplace(v,t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,m,g)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,m,g,v){var y=24*t,x=12*t,b=48*t;return this.int16[y+0]=e,this.int16[y+1]=r,this.uint16[y+2]=n,this.uint16[y+3]=i,this.uint32[x+2]=a,this.uint32[x+3]=o,this.uint32[x+4]=s,this.uint16[y+10]=l,this.uint16[y+11]=c,this.uint16[y+12]=u,this.float32[x+7]=f,this.float32[x+8]=h,this.uint8[b+36]=p,this.uint8[b+37]=d,this.uint8[b+38]=m,this.uint32[x+10]=g,this.int16[y+22]=v,t},e}(Pi);Wi.prototype.bytesPerElement=48,Nn(\\\"StructArrayLayout2i2ui3ul3ui2f3ub1ul1i48\\\",Wi);var Xi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,m,g,v,y,x,b,_,w,T,k,M,A,S){var E=this.length;return this.resize(E+1),this.emplace(E,t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,m,g,v,y,x,b,_,w,T,k,M,A,S)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,m,g,v,y,x,b,_,w,T,k,M,A,S,E){var L=34*t,C=17*t;return this.int16[L+0]=e,this.int16[L+1]=r,this.int16[L+2]=n,this.int16[L+3]=i,this.int16[L+4]=a,this.int16[L+5]=o,this.int16[L+6]=s,this.int16[L+7]=l,this.uint16[L+8]=c,this.uint16[L+9]=u,this.uint16[L+10]=f,this.uint16[L+11]=h,this.uint16[L+12]=p,this.uint16[L+13]=d,this.uint16[L+14]=m,this.uint16[L+15]=g,this.uint16[L+16]=v,this.uint16[L+17]=y,this.uint16[L+18]=x,this.uint16[L+19]=b,this.uint16[L+20]=_,this.uint16[L+21]=w,this.uint16[L+22]=T,this.uint32[C+12]=k,this.float32[C+13]=M,this.float32[C+14]=A,this.float32[C+15]=S,this.float32[C+16]=E,t},e}(Pi);Xi.prototype.bytesPerElement=68,Nn(\\\"StructArrayLayout8i15ui1ul4f68\\\",Xi);var Zi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.float32[r+0]=e,t},e}(Pi);Zi.prototype.bytesPerElement=4,Nn(\\\"StructArrayLayout1f4\\\",Zi);var Ji=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.int16[i+0]=e,this.int16[i+1]=r,this.int16[i+2]=n,t},e}(Pi);Ji.prototype.bytesPerElement=6,Nn(\\\"StructArrayLayout3i6\\\",Ji);var Ki=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=2*t,a=4*t;return this.uint32[i+0]=e,this.uint16[a+2]=r,this.uint16[a+3]=n,t},e}(Pi);Ki.prototype.bytesPerElement=8,Nn(\\\"StructArrayLayout1ul2ui8\\\",Ki);var Qi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new 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t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.float32[n+0]=e,this.float32[n+1]=r,t},e}(Pi);ta.prototype.bytesPerElement=8,Nn(\\\"StructArrayLayout2f8\\\",ta);var ea=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,i){var a=4*t;return this.float32[a+0]=e,this.float32[a+1]=r,this.float32[a+2]=n,this.float32[a+3]=i,t},e}(Pi);ea.prototype.bytesPerElement=16,Nn(\\\"StructArrayLayout4f16\\\",ea);var ra=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={anchorPointX:{configurable:!0},anchorPointY:{configurable:!0},x1:{configurable:!0},y1:{configurable:!0},x2:{configurable:!0},y2:{configurable:!0},featureIndex:{configurable:!0},sourceLayerIndex:{configurable:!0},bucketIndex:{configurable:!0},anchorPoint:{configurable:!0}};return r.anchorPointX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorPointY.get=function(){return this._structArray.int16[this._pos2+1]},r.x1.get=function(){return this._structArray.int16[this._pos2+2]},r.y1.get=function(){return this._structArray.int16[this._pos2+3]},r.x2.get=function(){return this._structArray.int16[this._pos2+4]},r.y2.get=function(){return this._structArray.int16[this._pos2+5]},r.featureIndex.get=function(){return this._structArray.uint32[this._pos4+3]},r.sourceLayerIndex.get=function(){return this._structArray.uint16[this._pos2+8]},r.bucketIndex.get=function(){return this._structArray.uint16[this._pos2+9]},r.anchorPoint.get=function(){return new i(this.anchorPointX,this.anchorPointY)},Object.defineProperties(e.prototype,r),e}(Ci);ra.prototype.size=20;var na=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.get=function(t){return new ra(this,t)},e}(Vi);Nn(\\\"CollisionBoxArray\\\",na);var ia=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var 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r={anchorX:{configurable:!0},anchorY:{configurable:!0},rightJustifiedTextSymbolIndex:{configurable:!0},centerJustifiedTextSymbolIndex:{configurable:!0},leftJustifiedTextSymbolIndex:{configurable:!0},verticalPlacedTextSymbolIndex:{configurable:!0},placedIconSymbolIndex:{configurable:!0},verticalPlacedIconSymbolIndex:{configurable:!0},key:{configurable:!0},textBoxStartIndex:{configurable:!0},textBoxEndIndex:{configurable:!0},verticalTextBoxStartIndex:{configurable:!0},verticalTextBoxEndIndex:{configurable:!0},iconBoxStartIndex:{configurable:!0},iconBoxEndIndex:{configurable:!0},verticalIconBoxStartIndex:{configurable:!0},verticalIconBoxEndIndex:{configurable:!0},featureIndex:{configurable:!0},numHorizontalGlyphVertices:{configurable:!0},numVerticalGlyphVertices:{configurable:!0},numIconVertices:{configurable:!0},numVerticalIconVertices:{configurable:!0},useRuntimeCollisionCircles:{configurable:!0},crossTileID:{configurable:!0},textBoxScale:{configurable:!0},textOffset0:{configurable:!0},textOffset1:{configurable:!0},collisionCircleDiameter:{configurable:!0}};return 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this._structArray.uint16[this._pos2+11]},r.verticalTextBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+12]},r.iconBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+13]},r.iconBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+14]},r.verticalIconBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+15]},r.verticalIconBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+16]},r.featureIndex.get=function(){return this._structArray.uint16[this._pos2+17]},r.numHorizontalGlyphVertices.get=function(){return this._structArray.uint16[this._pos2+18]},r.numVerticalGlyphVertices.get=function(){return this._structArray.uint16[this._pos2+19]},r.numIconVertices.get=function(){return this._structArray.uint16[this._pos2+20]},r.numVerticalIconVertices.get=function(){return this._structArray.uint16[this._pos2+21]},r.useRuntimeCollisionCircles.get=function(){return 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a=this.paintVertexArray.length,o=this.expression.evaluate(new pi(0),e,{},n,[],i);this.paintVertexArray.resize(t),this._setPaintValue(a,t,o)},Fa.prototype.updatePaintArray=function(t,e,r,n){var i=this.expression.evaluate({zoom:0},r,n);this._setPaintValue(t,e,i)},Fa.prototype._setPaintValue=function(t,e,r){if(\\\"color\\\"===this.type)for(var n=za(r),i=t;i<e;i++)this.paintVertexArray.emplace(i,n[0],n[1]);else{for(var a=t;a<e;a++)this.paintVertexArray.emplace(a,r);this.maxValue=Math.max(this.maxValue,Math.abs(r))}},Fa.prototype.upload=function(t){this.paintVertexArray&&this.paintVertexArray.arrayBuffer&&(this.paintVertexBuffer&&this.paintVertexBuffer.buffer?this.paintVertexBuffer.updateData(this.paintVertexArray):this.paintVertexBuffer=t.createVertexBuffer(this.paintVertexArray,this.paintVertexAttributes,this.expression.isStateDependent))},Fa.prototype.destroy=function(){this.paintVertexBuffer&&this.paintVertexBuffer.destroy()};var Ba=function(t,e,r,n,i,a){this.expression=t,this.uniformNames=e.map((function(t){return\\\"u_\\\"+t+\\\"_t\\\"})),this.type=r,this.useIntegerZoom=n,this.zoom=i,this.maxValue=0,this.paintVertexAttributes=e.map((function(t){return{name:\\\"a_\\\"+t,type:\\\"Float32\\\",components:\\\"color\\\"===r?4:2,offset:0}})),this.paintVertexArray=new a};Ba.prototype.populatePaintArray=function(t,e,r,n,i){var a=this.expression.evaluate(new pi(this.zoom),e,{},n,[],i),o=this.expression.evaluate(new pi(this.zoom+1),e,{},n,[],i),s=this.paintVertexArray.length;this.paintVertexArray.resize(t),this._setPaintValue(s,t,a,o)},Ba.prototype.updatePaintArray=function(t,e,r,n){var i=this.expression.evaluate({zoom:this.zoom},r,n),a=this.expression.evaluate({zoom:this.zoom+1},r,n);this._setPaintValue(t,e,i,a)},Ba.prototype._setPaintValue=function(t,e,r,n){if(\\\"color\\\"===this.type)for(var i=za(r),a=za(n),o=t;o<e;o++)this.paintVertexArray.emplace(o,i[0],i[1],a[0],a[1]);else{for(var s=t;s<e;s++)this.paintVertexArray.emplace(s,r,n);this.maxValue=Math.max(this.maxValue,Math.abs(r),Math.abs(n))}},Ba.prototype.upload=function(t){this.paintVertexArray&&this.paintVertexArray.arrayBuffer&&(this.paintVertexBuffer&&this.paintVertexBuffer.buffer?this.paintVertexBuffer.updateData(this.paintVertexArray):this.paintVertexBuffer=t.createVertexBuffer(this.paintVertexArray,this.paintVertexAttributes,this.expression.isStateDependent))},Ba.prototype.destroy=function(){this.paintVertexBuffer&&this.paintVertexBuffer.destroy()},Ba.prototype.setUniform=function(t,e){var r=this.useIntegerZoom?Math.floor(e.zoom):e.zoom,n=l(this.expression.interpolationFactor(r,this.zoom,this.zoom+1),0,1);t.set(n)},Ba.prototype.getBinding=function(t,e,r){return new Sa(t,e)};var Na=function(t,e,r,n,i,a){this.expression=t,this.type=e,this.useIntegerZoom=r,this.zoom=n,this.layerId=a,this.zoomInPaintVertexArray=new i,this.zoomOutPaintVertexArray=new i};Na.prototype.populatePaintArray=function(t,e,r){var n=this.zoomInPaintVertexArray.length;this.zoomInPaintVertexArray.resize(t),this.zoomOutPaintVertexArray.resize(t),this._setPaintValues(n,t,e.patterns&&e.patterns[this.layerId],r)},Na.prototype.updatePaintArray=function(t,e,r,n,i){this._setPaintValues(t,e,r.patterns&&r.patterns[this.layerId],i)},Na.prototype._setPaintValues=function(t,e,r,n){if(n&&r){var i=r.min,a=r.mid,o=r.max,s=n[i],l=n[a],c=n[o];if(s&&l&&c)for(var u=t;u<e;u++)this.zoomInPaintVertexArray.emplace(u,l.tl[0],l.tl[1],l.br[0],l.br[1],s.tl[0],s.tl[1],s.br[0],s.br[1],l.pixelRatio,s.pixelRatio),this.zoomOutPaintVertexArray.emplace(u,l.tl[0],l.tl[1],l.br[0],l.br[1],c.tl[0],c.tl[1],c.br[0],c.br[1],l.pixelRatio,c.pixelRatio)}},Na.prototype.upload=function(t){this.zoomInPaintVertexArray&&this.zoomInPaintVertexArray.arrayBuffer&&this.zoomOutPaintVertexArray&&this.zoomOutPaintVertexArray.arrayBuffer&&(this.zoomInPaintVertexBuffer=t.createVertexBuffer(this.zoomInPaintVertexArray,ma.members,this.expression.isStateDependent),this.zoomOutPaintVertexBuffer=t.createVertexBuffer(this.zoomOutPaintVertexArray,ma.members,this.expression.isStateDependent))},Na.prototype.destroy=function(){this.zoomOutPaintVertexBuffer&&this.zoomOutPaintVertexBuffer.destroy(),this.zoomInPaintVertexBuffer&&this.zoomInPaintVertexBuffer.destroy()};var ja=function(t,e,r,n){this.binders={},this.layoutAttributes=n,this._buffers=[];var i=[];for(var a in t.paint._values)if(r(a)){var o=t.paint.get(a);if(o instanceof bi&&zr(o.property.specification)){var s=Va(a,t.type),l=o.value,c=o.property.specification.type,u=o.property.useIntegerZoom,f=o.property.specification[\\\"property-type\\\"],h=\\\"cross-faded\\\"===f||\\\"cross-faded-data-driven\\\"===f;if(\\\"constant\\\"===l.kind)this.binders[a]=h?new Ra(l.value,s):new Da(l.value,s,c),i.push(\\\"/u_\\\"+a);else if(\\\"source\\\"===l.kind||h){var p=qa(a,c,\\\"source\\\");this.binders[a]=h?new Na(l,c,u,e,p,t.id):new Fa(l,s,c,p),i.push(\\\"/a_\\\"+a)}else{var d=qa(a,c,\\\"composite\\\");this.binders[a]=new Ba(l,s,c,u,e,d),i.push(\\\"/z_\\\"+a)}}}this.cacheKey=i.sort().join(\\\"\\\")};ja.prototype.getMaxValue=function(t){var e=this.binders[t];return e instanceof Fa||e instanceof Ba?e.maxValue:0},ja.prototype.populatePaintArrays=function(t,e,r,n,i){for(var a in this.binders){var o=this.binders[a];(o instanceof Fa||o instanceof Ba||o instanceof 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Da||i instanceof Ra||i instanceof Ba)for(var a=0,o=i.uniformNames;a<o.length;a+=1){var s=o[a];if(e[s]){var l=i.getBinding(t,e[s],s);r.push({name:s,property:n,binding:l})}}}return r},ja.prototype.setUniforms=function(t,e,r,n){for(var i=0,a=e;i<a.length;i+=1){var o=a[i],s=o.name,l=o.property,c=o.binding;this.binders[l].setUniform(c,n,r.get(l),s)}},ja.prototype.updatePaintBuffers=function(t){for(var e in this._buffers=[],this.binders){var r=this.binders[e];if(t&&r instanceof Na){var n=2===t.fromScale?r.zoomInPaintVertexBuffer:r.zoomOutPaintVertexBuffer;n&&this._buffers.push(n)}else(r instanceof Fa||r instanceof Ba)&&r.paintVertexBuffer&&this._buffers.push(r.paintVertexBuffer)}},ja.prototype.upload=function(t){for(var e in this.binders){var r=this.binders[e];(r instanceof Fa||r instanceof Ba||r instanceof Na)&&r.upload(t)}this.updatePaintBuffers()},ja.prototype.destroy=function(){for(var t in this.binders){var e=this.binders[t];(e instanceof Fa||e instanceof Ba||e instanceof Na)&&e.destroy()}};var Ua=function(t,e,r,n){void 0===n&&(n=function(){return!0}),this.programConfigurations={};for(var i=0,a=e;i<a.length;i+=1){var o=a[i];this.programConfigurations[o.id]=new ja(o,r,n,t)}this.needsUpload=!1,this._featureMap=new _a,this._bufferOffset=0};function Va(t,e){return{\\\"text-opacity\\\":[\\\"opacity\\\"],\\\"icon-opacity\\\":[\\\"opacity\\\"],\\\"text-color\\\":[\\\"fill_color\\\"],\\\"icon-color\\\":[\\\"fill_color\\\"],\\\"text-halo-color\\\":[\\\"halo_color\\\"],\\\"icon-halo-color\\\":[\\\"halo_color\\\"],\\\"text-halo-blur\\\":[\\\"halo_blur\\\"],\\\"icon-halo-blur\\\":[\\\"halo_blur\\\"],\\\"text-halo-width\\\":[\\\"halo_width\\\"],\\\"icon-halo-width\\\":[\\\"halo_width\\\"],\\\"line-gap-width\\\":[\\\"gapwidth\\\"],\\\"line-pattern\\\":[\\\"pattern_to\\\",\\\"pattern_from\\\",\\\"pixel_ratio_to\\\",\\\"pixel_ratio_from\\\"],\\\"fill-pattern\\\":[\\\"pattern_to\\\",\\\"pattern_from\\\",\\\"pixel_ratio_to\\\",\\\"pixel_ratio_from\\\"],\\\"fill-extrusion-pattern\\\":[\\\"pattern_to\\\",\\\"pattern_from\\\",\\\"pixel_ratio_to\\\",\\\"pixel_ratio_from\\\"]}[t]||[t.replace(e+\\\"-\\\",\\\"\\\").replace(/-/g,\\\"_\\\")]}function qa(t,e,r){var n={color:{source:ta,composite:ea},number:{source:Zi,composite:ta}},i=function(t){return{\\\"line-pattern\\\":{source:Bi,composite:Bi},\\\"fill-pattern\\\":{source:Bi,composite:Bi},\\\"fill-extrusion-pattern\\\":{source:Bi,composite:Bi}}[t]}(t);return i&&i[r]||n[e][r]}Ua.prototype.populatePaintArrays=function(t,e,r,n,i,a){for(var o in this.programConfigurations)this.programConfigurations[o].populatePaintArrays(t,e,n,i,a);void 0!==e.id&&this._featureMap.add(e.id,r,this._bufferOffset,t),this._bufferOffset=t,this.needsUpload=!0},Ua.prototype.updatePaintArrays=function(t,e,r,n){for(var i=0,a=r;i<a.length;i+=1){var o=a[i];this.needsUpload=this.programConfigurations[o.id].updatePaintArrays(t,this._featureMap,e,o,n)||this.needsUpload}},Ua.prototype.get=function(t){return this.programConfigurations[t]},Ua.prototype.upload=function(t){if(this.needsUpload){for(var e in this.programConfigurations)this.programConfigurations[e].upload(t);this.needsUpload=!1}},Ua.prototype.destroy=function(){for(var t in this.programConfigurations)this.programConfigurations[t].destroy()},Nn(\\\"ConstantBinder\\\",Da),Nn(\\\"CrossFadedConstantBinder\\\",Ra),Nn(\\\"SourceExpressionBinder\\\",Fa),Nn(\\\"CrossFadedCompositeBinder\\\",Na),Nn(\\\"CompositeExpressionBinder\\\",Ba),Nn(\\\"ProgramConfiguration\\\",ja,{omit:[\\\"_buffers\\\"]}),Nn(\\\"ProgramConfigurationSet\\\",Ua);var Ha,Ga=(Ha=15,{min:-1*Math.pow(2,Ha-1),max:Math.pow(2,Ha-1)-1});function Ya(t){for(var e=8192/t.extent,r=t.loadGeometry(),n=0;n<r.length;n++)for(var i=r[n],a=0;a<i.length;a++){var o=i[a];o.x=Math.round(o.x*e),o.y=Math.round(o.y*e),(o.x<Ga.min||o.x>Ga.max||o.y<Ga.min||o.y>Ga.max)&&(_(\\\"Geometry exceeds allowed extent, reduce your vector tile buffer size\\\"),o.x=l(o.x,Ga.min,Ga.max),o.y=l(o.y,Ga.min,Ga.max))}return r}function Wa(t,e,r,n,i){t.emplaceBack(2*e+(n+1)/2,2*r+(i+1)/2)}var Xa=function(t){this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return 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e,r=t.readVarint()+t.pos,n=1,a=0,o=0,s=0,l=[];t.pos<r;){if(a<=0){var c=t.readVarint();n=7&c,a=c>>3}if(a--,1===n||2===n)o+=t.readSVarint(),s+=t.readSVarint(),1===n&&(e&&l.push(e),e=[]),e.push(new i(o,s));else{if(7!==n)throw new Error(\\\"unknown command \\\"+n);e&&e.push(e[0].clone())}}return e&&l.push(e),l},ws.prototype.bbox=function(){var t=this._pbf;t.pos=this._geometry;for(var e=t.readVarint()+t.pos,r=1,n=0,i=0,a=0,o=1/0,s=-1/0,l=1/0,c=-1/0;t.pos<e;){if(n<=0){var u=t.readVarint();r=7&u,n=u>>3}if(n--,1===r||2===r)(i+=t.readSVarint())<o&&(o=i),i>s&&(s=i),(a+=t.readSVarint())<l&&(l=a),a>c&&(c=a);else if(7!==r)throw new Error(\\\"unknown command \\\"+r)}return[o,l,s,c]},ws.prototype.toGeoJSON=function(t,e,r){var n,i,a=this.extent*Math.pow(2,r),o=this.extent*t,s=this.extent*e,l=this.loadGeometry(),c=ws.types[this.type];function u(t){for(var e=0;e<t.length;e++){var r=t[e],n=180-360*(r.y+s)/a;t[e]=[360*(r.x+o)/a-180,360/Math.PI*Math.atan(Math.exp(n*Math.PI/180))-90]}}switch(this.type){case 1:var f=[];for(n=0;n<l.length;n++)f[n]=l[n][0];u(l=f);break;case 2:for(n=0;n<l.length;n++)u(l[n]);break;case 3:for(l=function(t){var e=t.length;if(e<=1)return[t];for(var r,n,i=[],a=0;a<e;a++){var o=ks(t[a]);0!==o&&(void 0===n&&(n=o<0),n===o<0?(r&&i.push(r),r=[t[a]]):r.push(t[a]))}r&&i.push(r);return i}(l),n=0;n<l.length;n++)for(i=0;i<l[n].length;i++)u(l[n][i])}1===l.length?l=l[0]:c=\\\"Multi\\\"+c;var h={type:\\\"Feature\\\",geometry:{type:c,coordinates:l},properties:this.properties};return\\\"id\\\"in this&&(h.id=this.id),h};var Ms=As;function As(t,e){this.version=1,this.name=null,this.extent=4096,this.length=0,this._pbf=t,this._keys=[],this._values=[],this._features=[],t.readFields(Ss,this,e),this.length=this._features.length}function Ss(t,e,r){15===t?e.version=r.readVarint():1===t?e.name=r.readString():5===t?e.extent=r.readVarint():2===t?e._features.push(r.pos):3===t?e._keys.push(r.readString()):4===t&&e._values.push(function(t){var e=null,r=t.readVarint()+t.pos;for(;t.pos<r;){var n=t.readVarint()>>3;e=1===n?t.readString():2===n?t.readFloat():3===n?t.readDouble():4===n?t.readVarint64():5===n?t.readVarint():6===n?t.readSVarint():7===n?t.readBoolean():null}return e}(r))}function Es(t,e,r){if(3===t){var n=new Ms(r,r.readVarint()+r.pos);n.length&&(e[n.name]=n)}}As.prototype.feature=function(t){if(t<0||t>=this._features.length)throw new Error(\\\"feature index out of bounds\\\");this._pbf.pos=this._features[t];var e=this._pbf.readVarint()+this._pbf.pos;return new _s(this._pbf,e,this.extent,this._keys,this._values)};var Ls={VectorTile:function(t,e){this.layers=t.readFields(Es,{},e)},VectorTileFeature:_s,VectorTileLayer:Ms},Cs=Ls.VectorTileFeature.types,Ps=Math.pow(2,13);function Is(t,e,r,n,i,a,o,s){t.emplaceBack(e,r,2*Math.floor(n*Ps)+o,i*Ps*2,a*Ps*2,Math.round(s))}var Os=function(t){this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.hasPattern=!1,this.layoutVertexArray=new Ri,this.indexArray=new Yi,this.programConfigurations=new Ua(bs,t.layers,t.zoom),this.segments=new pa,this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};function zs(t,e){return t.x===e.x&&(t.x<0||t.x>8192)||t.y===e.y&&(t.y<0||t.y>8192)}function Ds(t){return t.every((function(t){return t.x<0}))||t.every((function(t){return t.x>8192}))||t.every((function(t){return t.y<0}))||t.every((function(t){return t.y>8192}))}Os.prototype.populate=function(t,e,r){this.features=[],this.hasPattern=ds(\\\"fill-extrusion\\\",this.layers,e);for(var n=0,i=t;n<i.length;n+=1){var a=i[n],o=a.feature,s=a.id,l=a.index,c=a.sourceLayerIndex,u=this.layers[0]._featureFilter.needGeometry,f={type:o.type,id:s,properties:o.properties,geometry:u?Ya(o):[]};if(this.layers[0]._featureFilter.filter(new pi(this.zoom),f,r)){var h={id:s,sourceLayerIndex:c,index:l,geometry:u?f.geometry:Ya(o),properties:o.properties,type:o.type,patterns:{}};void 0!==o.id&&(h.id=o.id),this.hasPattern?this.features.push(ms(\\\"fill-extrusion\\\",this.layers,h,this.zoom,e)):this.addFeature(h,h.geometry,l,r,{}),e.featureIndex.insert(o,h.geometry,l,c,this.index,!0)}}},Os.prototype.addFeatures=function(t,e,r){for(var n=0,i=this.features;n<i.length;n+=1){var a=i[n],o=a.geometry;this.addFeature(a,o,a.index,e,r)}},Os.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},Os.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},Os.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},Os.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,bs),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},Os.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},Os.prototype.addFeature=function(t,e,r,n,i){for(var a=0,o=hs(e,500);a<o.length;a+=1){for(var s=o[a],l=0,c=0,u=s;c<u.length;c+=1){l+=u[c].length}for(var f=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray),h=0,p=s;h<p.length;h+=1){var d=p[h];if(0!==d.length&&!Ds(d))for(var m=0,g=0;g<d.length;g++){var v=d[g];if(g>=1){var y=d[g-1];if(!zs(v,y)){f.vertexLength+4>pa.MAX_VERTEX_ARRAY_LENGTH&&(f=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray));var x=v.sub(y)._perp()._unit(),b=y.dist(v);m+b>32768&&(m=0),Is(this.layoutVertexArray,v.x,v.y,x.x,x.y,0,0,m),Is(this.layoutVertexArray,v.x,v.y,x.x,x.y,0,1,m),m+=b,Is(this.layoutVertexArray,y.x,y.y,x.x,x.y,0,0,m),Is(this.layoutVertexArray,y.x,y.y,x.x,x.y,0,1,m);var _=f.vertexLength;this.indexArray.emplaceBack(_,_+2,_+1),this.indexArray.emplaceBack(_+1,_+2,_+3),f.vertexLength+=4,f.primitiveLength+=2}}}}if(f.vertexLength+l>pa.MAX_VERTEX_ARRAY_LENGTH&&(f=this.segments.prepareSegment(l,this.layoutVertexArray,this.indexArray)),\\\"Polygon\\\"===Cs[t.type]){for(var w=[],T=[],k=f.vertexLength,M=0,A=s;M<A.length;M+=1){var S=A[M];if(0!==S.length){S!==s[0]&&T.push(w.length/2);for(var E=0;E<S.length;E++){var L=S[E];Is(this.layoutVertexArray,L.x,L.y,0,0,1,1,0),w.push(L.x),w.push(L.y)}}}for(var C=Do(w,T),P=0;P<C.length;P+=3)this.indexArray.emplaceBack(k+C[P],k+C[P+2],k+C[P+1]);f.primitiveLength+=C.length/3,f.vertexLength+=l}}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,i,n)},Nn(\\\"FillExtrusionBucket\\\",Os,{omit:[\\\"layers\\\",\\\"features\\\"]});var Rs={paint:new Si({\\\"fill-extrusion-opacity\\\":new wi(Lt[\\\"paint_fill-extrusion\\\"][\\\"fill-extrusion-opacity\\\"]),\\\"fill-extrusion-color\\\":new Ti(Lt[\\\"paint_fill-extrusion\\\"][\\\"fill-extrusion-color\\\"]),\\\"fill-extrusion-translate\\\":new wi(Lt[\\\"paint_fill-extrusion\\\"][\\\"fill-extrusion-translate\\\"]),\\\"fill-extrusion-translate-anchor\\\":new wi(Lt[\\\"paint_fill-extrusion\\\"][\\\"fill-extrusion-translate-anchor\\\"]),\\\"fill-extrusion-pattern\\\":new ki(Lt[\\\"paint_fill-extrusion\\\"][\\\"fill-extrusion-pattern\\\"]),\\\"fill-extrusion-height\\\":new Ti(Lt[\\\"paint_fill-extrusion\\\"][\\\"fill-extrusion-height\\\"]),\\\"fill-extrusion-base\\\":new Ti(Lt[\\\"paint_fill-extrusion\\\"][\\\"fill-extrusion-base\\\"]),\\\"fill-extrusion-vertical-gradient\\\":new wi(Lt[\\\"paint_fill-extrusion\\\"][\\\"fill-extrusion-vertical-gradient\\\"])})},Fs=function(t){function e(e){t.call(this,e,Rs)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.createBucket=function(t){return new Os(t)},e.prototype.queryRadius=function(){return so(this.paint.get(\\\"fill-extrusion-translate\\\"))},e.prototype.is3D=function(){return!0},e.prototype.queryIntersectsFeature=function(t,e,r,n,a,o,s,l){var c=lo(t,this.paint.get(\\\"fill-extrusion-translate\\\"),this.paint.get(\\\"fill-extrusion-translate-anchor\\\"),o.angle,s),u=this.paint.get(\\\"fill-extrusion-height\\\").evaluate(e,r),f=this.paint.get(\\\"fill-extrusion-base\\\").evaluate(e,r),h=function(t,e,r,n){for(var a=[],o=0,s=t;o<s.length;o+=1){var l=s[o],c=[l.x,l.y,n,1];xo(c,c,e),a.push(new i(c[0]/c[3],c[1]/c[3]))}return a}(c,l,0,0),p=function(t,e,r,n){for(var a=[],o=[],s=n[8]*e,l=n[9]*e,c=n[10]*e,u=n[11]*e,f=n[8]*r,h=n[9]*r,p=n[10]*r,d=n[11]*r,m=0,g=t;m<g.length;m+=1){for(var v=g[m],y=[],x=[],b=0,_=v;b<_.length;b+=1){var w=_[b],T=w.x,k=w.y,M=n[0]*T+n[4]*k+n[12],A=n[1]*T+n[5]*k+n[13],S=n[2]*T+n[6]*k+n[14],E=n[3]*T+n[7]*k+n[15],L=S+c,C=E+u,P=M+f,I=A+h,O=S+p,z=E+d,D=new i((M+s)/C,(A+l)/C);D.z=L/C,y.push(D);var R=new i(P/z,I/z);R.z=O/z,x.push(R)}a.push(y),o.push(x)}return[a,o]}(n,f,u,l);return function(t,e,r){var n=1/0;Ka(r,e)&&(n=Ns(r,e[0]));for(var i=0;i<e.length;i++)for(var a=e[i],o=t[i],s=0;s<a.length-1;s++){var l=a[s],c=a[s+1],u=o[s],f=o[s+1],h=[l,c,f,u,l];Za(r,h)&&(n=Math.min(n,Ns(r,h)))}return n!==1/0&&n}(p[0],p[1],h)},e}(Ei);function Bs(t,e){return t.x*e.x+t.y*e.y}function Ns(t,e){if(1===t.length){for(var r,n=0,i=e[n++];!r||i.equals(r);)if(!(r=e[n++]))return 1/0;for(;n<e.length;n++){var a=e[n],o=t[0],s=r.sub(i),l=a.sub(i),c=o.sub(i),u=Bs(s,s),f=Bs(s,l),h=Bs(l,l),p=Bs(c,s),d=Bs(c,l),m=u*h-f*f,g=(h*p-f*d)/m,v=(u*d-f*p)/m,y=1-g-v,x=i.z*y+r.z*g+a.z*v;if(isFinite(x))return x}return 1/0}for(var b=1/0,_=0,w=e;_<w.length;_+=1){var T=w[_];b=Math.min(b,T.z)}return b}var js=Ii([{name:\\\"a_pos_normal\\\",components:2,type:\\\"Int16\\\"},{name:\\\"a_data\\\",components:4,type:\\\"Uint8\\\"}],4).members,Us=Ls.VectorTileFeature.types,Vs=Math.cos(Math.PI/180*37.5),qs=Math.pow(2,14)/.5,Hs=function(t){this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.hasPattern=!1,this.patternFeatures=[],this.layoutVertexArray=new Fi,this.indexArray=new Yi,this.programConfigurations=new Ua(js,t.layers,t.zoom),this.segments=new pa,this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};Hs.prototype.populate=function(t,e,r){this.hasPattern=ds(\\\"line\\\",this.layers,e);for(var n=this.layers[0].layout.get(\\\"line-sort-key\\\"),i=[],a=0,o=t;a<o.length;a+=1){var s=o[a],l=s.feature,c=s.id,u=s.index,f=s.sourceLayerIndex,h=this.layers[0]._featureFilter.needGeometry,p={type:l.type,id:c,properties:l.properties,geometry:h?Ya(l):[]};if(this.layers[0]._featureFilter.filter(new pi(this.zoom),p,r)){h||(p.geometry=Ya(l));var d=n?n.evaluate(p,{},r):void 0,m={id:c,properties:l.properties,type:l.type,sourceLayerIndex:f,index:u,geometry:p.geometry,patterns:{},sortKey:d};i.push(m)}}n&&i.sort((function(t,e){return t.sortKey-e.sortKey}));for(var g=0,v=i;g<v.length;g+=1){var y=v[g],x=y,b=x.geometry,_=x.index,w=x.sourceLayerIndex;if(this.hasPattern){var T=ms(\\\"line\\\",this.layers,y,this.zoom,e);this.patternFeatures.push(T)}else this.addFeature(y,b,_,r,{});var k=t[_].feature;e.featureIndex.insert(k,b,_,w,this.index)}},Hs.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},Hs.prototype.addFeatures=function(t,e,r){for(var n=0,i=this.patternFeatures;n<i.length;n+=1){var a=i[n];this.addFeature(a,a.geometry,a.index,e,r)}},Hs.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},Hs.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},Hs.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,js),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},Hs.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},Hs.prototype.addFeature=function(t,e,r,n,i){for(var a=this.layers[0].layout,o=a.get(\\\"line-join\\\").evaluate(t,{}),s=a.get(\\\"line-cap\\\"),l=a.get(\\\"line-miter-limit\\\"),c=a.get(\\\"line-round-limit\\\"),u=0,f=e;u<f.length;u+=1){var h=f[u];this.addLine(h,t,o,s,l,c)}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,i,n)},Hs.prototype.addLine=function(t,e,r,n,i,a){if(this.distance=0,this.scaledDistance=0,this.totalDistance=0,e.properties&&e.properties.hasOwnProperty(\\\"mapbox_clip_start\\\")&&e.properties.hasOwnProperty(\\\"mapbox_clip_end\\\")){this.clipStart=+e.properties.mapbox_clip_start,this.clipEnd=+e.properties.mapbox_clip_end;for(var o=0;o<t.length-1;o++)this.totalDistance+=t[o].dist(t[o+1]);this.updateScaledDistance()}for(var s=\\\"Polygon\\\"===Us[e.type],l=t.length;l>=2&&t[l-1].equals(t[l-2]);)l--;for(var c=0;c<l-1&&t[c].equals(t[c+1]);)c++;if(!(l<(s?3:2))){\\\"bevel\\\"===r&&(i=1.05);var u,f=this.overscaling<=16?122880/(512*this.overscaling):0,h=this.segments.prepareSegment(10*l,this.layoutVertexArray,this.indexArray),p=void 0,d=void 0,m=void 0,g=void 0;this.e1=this.e2=-1,s&&(u=t[l-2],g=t[c].sub(u)._unit()._perp());for(var v=c;v<l;v++)if(!(d=v===l-1?s?t[c+1]:void 0:t[v+1])||!t[v].equals(d)){g&&(m=g),u&&(p=u),u=t[v],g=d?d.sub(u)._unit()._perp():m;var y=(m=m||g).add(g);0===y.x&&0===y.y||y._unit();var x=m.x*g.x+m.y*g.y,b=y.x*g.x+y.y*g.y,_=0!==b?1/b:1/0,w=2*Math.sqrt(2-2*b),T=b<Vs&&p&&d,k=m.x*g.y-m.y*g.x>0;if(T&&v>c){var M=u.dist(p);if(M>2*f){var A=u.sub(u.sub(p)._mult(f/M)._round());this.updateDistance(p,A),this.addCurrentVertex(A,m,0,0,h),p=A}}var S=p&&d,E=S?r:s?\\\"butt\\\":n;if(S&&\\\"round\\\"===E&&(_<a?E=\\\"miter\\\":_<=2&&(E=\\\"fakeround\\\")),\\\"miter\\\"===E&&_>i&&(E=\\\"bevel\\\"),\\\"bevel\\\"===E&&(_>2&&(E=\\\"flipbevel\\\"),_<i&&(E=\\\"miter\\\")),p&&this.updateDistance(p,u),\\\"miter\\\"===E)y._mult(_),this.addCurrentVertex(u,y,0,0,h);else if(\\\"flipbevel\\\"===E){if(_>100)y=g.mult(-1);else{var L=_*m.add(g).mag()/m.sub(g).mag();y._perp()._mult(L*(k?-1:1))}this.addCurrentVertex(u,y,0,0,h),this.addCurrentVertex(u,y.mult(-1),0,0,h)}else if(\\\"bevel\\\"===E||\\\"fakeround\\\"===E){var C=-Math.sqrt(_*_-1),P=k?C:0,I=k?0:C;if(p&&this.addCurrentVertex(u,m,P,I,h),\\\"fakeround\\\"===E)for(var O=Math.round(180*w/Math.PI/20),z=1;z<O;z++){var D=z/O;if(.5!==D){var R=D-.5;D+=D*R*(D-1)*((1.0904+x*(x*(3.55645-1.43519*x)-3.2452))*R*R+(.848013+x*(.215638*x-1.06021)))}var F=g.sub(m)._mult(D)._add(m)._unit()._mult(k?-1:1);this.addHalfVertex(u,F.x,F.y,!1,k,0,h)}d&&this.addCurrentVertex(u,g,-P,-I,h)}else if(\\\"butt\\\"===E)this.addCurrentVertex(u,y,0,0,h);else if(\\\"square\\\"===E){var B=p?1:-1;this.addCurrentVertex(u,y,B,B,h)}else\\\"round\\\"===E&&(p&&(this.addCurrentVertex(u,m,0,0,h),this.addCurrentVertex(u,m,1,1,h,!0)),d&&(this.addCurrentVertex(u,g,-1,-1,h,!0),this.addCurrentVertex(u,g,0,0,h)));if(T&&v<l-1){var N=u.dist(d);if(N>2*f){var j=u.add(d.sub(u)._mult(f/N)._round());this.updateDistance(u,j),this.addCurrentVertex(j,g,0,0,h),u=j}}}}},Hs.prototype.addCurrentVertex=function(t,e,r,n,i,a){void 0===a&&(a=!1);var o=e.x+e.y*r,s=e.y-e.x*r,l=-e.x+e.y*n,c=-e.y-e.x*n;this.addHalfVertex(t,o,s,a,!1,r,i),this.addHalfVertex(t,l,c,a,!0,-n,i),this.distance>qs/2&&0===this.totalDistance&&(this.distance=0,this.addCurrentVertex(t,e,r,n,i,a))},Hs.prototype.addHalfVertex=function(t,e,r,n,i,a,o){var s=t.x,l=t.y,c=.5*this.scaledDistance;this.layoutVertexArray.emplaceBack((s<<1)+(n?1:0),(l<<1)+(i?1:0),Math.round(63*e)+128,Math.round(63*r)+128,1+(0===a?0:a<0?-1:1)|(63&c)<<2,c>>6);var u=o.vertexLength++;this.e1>=0&&this.e2>=0&&(this.indexArray.emplaceBack(this.e1,this.e2,u),o.primitiveLength++),i?this.e2=u:this.e1=u},Hs.prototype.updateScaledDistance=function(){this.scaledDistance=this.totalDistance>0?(this.clipStart+(this.clipEnd-this.clipStart)*this.distance/this.totalDistance)*(qs-1):this.distance},Hs.prototype.updateDistance=function(t,e){this.distance+=t.dist(e),this.updateScaledDistance()},Nn(\\\"LineBucket\\\",Hs,{omit:[\\\"layers\\\",\\\"patternFeatures\\\"]});var Gs=new Si({\\\"line-cap\\\":new wi(Lt.layout_line[\\\"line-cap\\\"]),\\\"line-join\\\":new Ti(Lt.layout_line[\\\"line-join\\\"]),\\\"line-miter-limit\\\":new wi(Lt.layout_line[\\\"line-miter-limit\\\"]),\\\"line-round-limit\\\":new wi(Lt.layout_line[\\\"line-round-limit\\\"]),\\\"line-sort-key\\\":new Ti(Lt.layout_line[\\\"line-sort-key\\\"])}),Ys={paint:new Si({\\\"line-opacity\\\":new Ti(Lt.paint_line[\\\"line-opacity\\\"]),\\\"line-color\\\":new Ti(Lt.paint_line[\\\"line-color\\\"]),\\\"line-translate\\\":new wi(Lt.paint_line[\\\"line-translate\\\"]),\\\"line-translate-anchor\\\":new wi(Lt.paint_line[\\\"line-translate-anchor\\\"]),\\\"line-width\\\":new Ti(Lt.paint_line[\\\"line-width\\\"]),\\\"line-gap-width\\\":new Ti(Lt.paint_line[\\\"line-gap-width\\\"]),\\\"line-offset\\\":new Ti(Lt.paint_line[\\\"line-offset\\\"]),\\\"line-blur\\\":new Ti(Lt.paint_line[\\\"line-blur\\\"]),\\\"line-dasharray\\\":new Mi(Lt.paint_line[\\\"line-dasharray\\\"]),\\\"line-pattern\\\":new ki(Lt.paint_line[\\\"line-pattern\\\"]),\\\"line-gradient\\\":new Ai(Lt.paint_line[\\\"line-gradient\\\"])}),layout:Gs},Ws=new(function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.possiblyEvaluate=function(e,r){return r=new 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nl=function(t,e,r,n,i){var a,o,s=8*i-n-1,l=(1<<s)-1,c=l>>1,u=-7,f=r?i-1:0,h=r?-1:1,p=t[e+f];for(f+=h,a=p&(1<<-u)-1,p>>=-u,u+=s;u>0;a=256*a+t[e+f],f+=h,u-=8);for(o=a&(1<<-u)-1,a>>=-u,u+=n;u>0;o=256*o+t[e+f],f+=h,u-=8);if(0===a)a=1-c;else{if(a===l)return o?NaN:1/0*(p?-1:1);o+=Math.pow(2,n),a-=c}return(p?-1:1)*o*Math.pow(2,a-n)},il=function(t,e,r,n,i,a){var o,s,l,c=8*a-i-1,u=(1<<c)-1,f=u>>1,h=23===i?Math.pow(2,-24)-Math.pow(2,-77):0,p=n?0:a-1,d=n?1:-1,m=e<0||0===e&&1/e<0?1:0;for(e=Math.abs(e),isNaN(e)||e===1/0?(s=isNaN(e)?1:0,o=u):(o=Math.floor(Math.log(e)/Math.LN2),e*(l=Math.pow(2,-o))<1&&(o--,l*=2),(e+=o+f>=1?h/l:h*Math.pow(2,1-f))*l>=2&&(o++,l/=2),o+f>=u?(s=0,o=u):o+f>=1?(s=(e*l-1)*Math.pow(2,i),o+=f):(s=e*Math.pow(2,f-1)*Math.pow(2,i),o=0));i>=8;t[r+p]=255&s,p+=d,s/=256,i-=8);for(o=o<<i|s,c+=i;c>0;t[r+p]=255&o,p+=d,o/=256,c-=8);t[r+p-d]|=128*m},al=ol;function ol(t){this.buf=ArrayBuffer.isView&&ArrayBuffer.isView(t)?t:new 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Eo({width:o||1,height:s||1});for(var c in t){var u=t[c],f=r[c].paddedRect;Eo.copy(u.data,l,{x:0,y:0},{x:f.x+1,y:f.y+1},u.data)}for(var h in e){var p=e[h],d=n[h].paddedRect,m=d.x+1,g=d.y+1,v=p.data.width,y=p.data.height;Eo.copy(p.data,l,{x:0,y:0},{x:m,y:g},p.data),Eo.copy(p.data,l,{x:0,y:y-1},{x:m,y:g-1},{width:v,height:1}),Eo.copy(p.data,l,{x:0,y:0},{x:m,y:g+y},{width:v,height:1}),Eo.copy(p.data,l,{x:v-1,y:0},{x:m-1,y:g},{width:1,height:y}),Eo.copy(p.data,l,{x:0,y:0},{x:m+v,y:g},{width:1,height:y})}this.image=l,this.iconPositions=r,this.patternPositions=n};Ll.prototype.addImages=function(t,e,r){for(var n in t){var i=t[n],a={x:0,y:0,w:i.data.width+2,h:i.data.height+2};r.push(a),e[n]=new Sl(a,i),i.hasRenderCallback&&this.haveRenderCallbacks.push(n)}},Ll.prototype.patchUpdatedImages=function(t,e){for(var r in 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r=this.text.length,n=this.text.length-1;n>=0&&n>=t&&zl[this.text.charCodeAt(n)];n--)r--;this.text=this.text.substring(t,r),this.sectionIndex=this.sectionIndex.slice(t,r)},Il.prototype.substring=function(t,e){var r=new Il;return r.text=this.text.substring(t,e),r.sectionIndex=this.sectionIndex.slice(t,e),r.sections=this.sections,r},Il.prototype.toString=function(){return this.text},Il.prototype.getMaxScale=function(){var t=this;return this.sectionIndex.reduce((function(e,r){return Math.max(e,t.sections[r].scale)}),0)},Il.prototype.addTextSection=function(t,e){this.text+=t.text,this.sections.push(Pl.forText(t.scale,t.fontStack||e));for(var r=this.sections.length-1,n=0;n<t.text.length;++n)this.sectionIndex.push(r)},Il.prototype.addImageSection=function(t){var e=t.image?t.image.name:\\\"\\\";if(0!==e.length){var r=this.getNextImageSectionCharCode();r?(this.text+=String.fromCharCode(r),this.sections.push(Pl.forImage(e)),this.sectionIndex.push(this.sections.length-1)):_(\\\"Reached maximum 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h=ac(n.stretch-x,b,u,t.left),p=oc(n.fixed-T,k,n.stretch,m),d=ac(a.stretch-_,w,f,t.top),v=oc(a.fixed-M,A,a.stretch,g),y=ac(l.stretch-x,b,u,t.left),S=oc(l.fixed-T,k,l.stretch,m),E=ac(c.stretch-_,w,f,t.top),L=oc(c.fixed-M,A,c.stretch,g),C=new i(h,d),P=new i(y,d),I=new i(y,E),O=new i(h,E),z=new i(p/s,v/s),D=new i(S/s,L/s),R=e*Math.PI/180;if(R){var F=Math.sin(R),B=Math.cos(R),N=[B,-F,F,B];C._matMult(N),P._matMult(N),O._matMult(N),I._matMult(N)}var j=n.stretch+n.fixed,U=l.stretch+l.fixed,V=a.stretch+a.fixed,q=c.stretch+c.fixed;return{tl:C,tr:P,bl:O,br:I,tex:{x:o.paddedRect.x+1+j,y:o.paddedRect.y+1+V,w:U-j,h:q-V},writingMode:void 0,glyphOffset:[0,0],sectionIndex:0,pixelOffsetTL:z,pixelOffsetBR:D,minFontScaleX:k/s/u,minFontScaleY:A/s/f,isSDF:r}};if(n&&(o.stretchX||o.stretchY))for(var L=ic(h,v,m),C=ic(p,y,g),P=0;P<L.length-1;P++)for(var I=L[P],O=L[P+1],z=0;z<C.length-1;z++){var D=C[z],R=C[z+1];a.push(E(I,D,O,R))}else 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i(0,0);u.push({tl:z,tr:D,bl:R,br:F,tex:v,writingMode:e.writingMode,glyphOffset:S,sectionIndex:g.sectionIndex,isSDF:x,pixelOffsetTL:W,pixelOffsetBR:X,minFontScaleX:0,minFontScaleY:0})}}return u}(0,r,l,a,o,s,n,t.allowVerticalPlacement),v=t.textSizeData,y=null;\\\"source\\\"===v.kind?(y=[128*a.layout.get(\\\"text-size\\\").evaluate(s,{})])[0]>32640&&_(t.layerIds[0]+': Value for \\\"text-size\\\" is >= 255. Reduce your \\\"text-size\\\".'):\\\"composite\\\"===v.kind&&((y=[128*d.compositeTextSizes[0].evaluate(s,{},m),128*d.compositeTextSizes[1].evaluate(s,{},m)])[0]>32640||y[1]>32640)&&_(t.layerIds[0]+': Value for \\\"text-size\\\" is >= 255. Reduce your \\\"text-size\\\".'),t.addSymbols(t.text,g,y,l,o,s,u,e,c.lineStartIndex,c.lineLength,p,m);for(var x=0,b=f;x<b.length;x+=1){h[b[x]]=t.text.placedSymbolArray.length-1}return 4*g.length}function vc(t){for(var e in t)return t[e];return null}function yc(t,e,r,n){var i=t.compareText;if(e in i){for(var a=i[e],o=a.length-1;o>=0;o--)if(n.dist(a[o])<r)return!0}else i[e]=[];return i[e].push(n),!1}var xc=Ls.VectorTileFeature.types,bc=[{name:\\\"a_fade_opacity\\\",components:1,type:\\\"Uint8\\\",offset:0}];function _c(t,e,r,n,i,a,o,s,l,c,u,f,h){var p=s?Math.min(32640,Math.round(s[0])):0,d=s?Math.min(32640,Math.round(s[1])):0;t.emplaceBack(e,r,Math.round(32*n),Math.round(32*i),a,o,(p<<1)+(l?1:0),d,16*c,16*u,256*f,256*h)}function wc(t,e,r){t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r)}function Tc(t){for(var e=0,r=t.sections;e<r.length;e+=1){if($n(r[e].text))return!0}return!1}var kc=function(t){this.layoutVertexArray=new Ni,this.indexArray=new Yi,this.programConfigurations=t,this.segments=new pa,this.dynamicLayoutVertexArray=new ji,this.opacityVertexArray=new Ui,this.placedSymbolArray=new aa};kc.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length&&0===this.indexArray.length&&0===this.dynamicLayoutVertexArray.length&&0===this.opacityVertexArray.length},kc.prototype.upload=function(t,e,r,n){this.isEmpty()||(r&&(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,Js.members),this.indexBuffer=t.createIndexBuffer(this.indexArray,e),this.dynamicLayoutVertexBuffer=t.createVertexBuffer(this.dynamicLayoutVertexArray,Ks.members,!0),this.opacityVertexBuffer=t.createVertexBuffer(this.opacityVertexArray,bc,!0),this.opacityVertexBuffer.itemSize=1),(r||n)&&this.programConfigurations.upload(t))},kc.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy(),this.dynamicLayoutVertexBuffer.destroy(),this.opacityVertexBuffer.destroy())},Nn(\\\"SymbolBuffers\\\",kc);var Mc=function(t,e,r){this.layoutVertexArray=new t,this.layoutAttributes=e,this.indexArray=new r,this.segments=new pa,this.collisionVertexArray=new Gi};Mc.prototype.upload=function(t){this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,this.layoutAttributes),this.indexBuffer=t.createIndexBuffer(this.indexArray),this.collisionVertexBuffer=t.createVertexBuffer(this.collisionVertexArray,Qs.members,!0)},Mc.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.segments.destroy(),this.collisionVertexBuffer.destroy())},Nn(\\\"CollisionBuffers\\\",Mc);var Ac=function(t){this.collisionBoxArray=t.collisionBoxArray,this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.pixelRatio=t.pixelRatio,this.sourceLayerIndex=t.sourceLayerIndex,this.hasPattern=!1,this.hasRTLText=!1,this.sortKeyRanges=[],this.collisionCircleArray=[],this.placementInvProjMatrix=ho([]),this.placementViewportMatrix=ho([]);var e=this.layers[0]._unevaluatedLayout._values;this.textSizeData=Gl(this.zoom,e[\\\"text-size\\\"]),this.iconSizeData=Gl(this.zoom,e[\\\"icon-size\\\"]);var r=this.layers[0].layout,n=r.get(\\\"symbol-sort-key\\\"),i=r.get(\\\"symbol-z-order\\\");this.sortFeaturesByKey=\\\"viewport-y\\\"!==i&&void 0!==n.constantOr(1);var a=\\\"viewport-y\\\"===i||\\\"auto\\\"===i&&!this.sortFeaturesByKey;this.sortFeaturesByY=a&&(r.get(\\\"text-allow-overlap\\\")||r.get(\\\"icon-allow-overlap\\\")||r.get(\\\"text-ignore-placement\\\")||r.get(\\\"icon-ignore-placement\\\")),\\\"point\\\"===r.get(\\\"symbol-placement\\\")&&(this.writingModes=r.get(\\\"text-writing-mode\\\").map((function(t){return Cl[t]}))),this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id})),this.sourceID=t.sourceID};Ac.prototype.createArrays=function(){this.text=new kc(new Ua(Js.members,this.layers,this.zoom,(function(t){return/^text/.test(t)}))),this.icon=new kc(new Ua(Js.members,this.layers,this.zoom,(function(t){return/^icon/.test(t)}))),this.glyphOffsetArray=new la,this.lineVertexArray=new ca,this.symbolInstances=new sa},Ac.prototype.calculateGlyphDependencies=function(t,e,r,n,i){for(var a=0;a<t.length;a++)if(e[t.charCodeAt(a)]=!0,(r||n)&&i){var o=rl[t.charAt(a)];o&&(e[o.charCodeAt(0)]=!0)}},Ac.prototype.populate=function(t,e,r){var n=this.layers[0],i=n.layout,a=i.get(\\\"text-font\\\"),o=i.get(\\\"text-field\\\"),s=i.get(\\\"icon-image\\\"),l=(\\\"constant\\\"!==o.value.kind||o.value.value instanceof ne&&!o.value.value.isEmpty()||o.value.value.toString().length>0)&&(\\\"constant\\\"!==a.value.kind||a.value.value.length>0),c=\\\"constant\\\"!==s.value.kind||!!s.value.value||Object.keys(s.parameters).length>0,u=i.get(\\\"symbol-sort-key\\\");if(this.features=[],l||c){for(var f=e.iconDependencies,h=e.glyphDependencies,p=e.availableImages,d=new pi(this.zoom),m=0,g=t;m<g.length;m+=1){var v=g[m],y=v.feature,x=v.id,b=v.index,_=v.sourceLayerIndex,w=n._featureFilter.needGeometry,T={type:y.type,id:x,properties:y.properties,geometry:w?Ya(y):[]};if(n._featureFilter.filter(d,T,r)){w||(T.geometry=Ya(y));var k=void 0;if(l){var M=n.getValueAndResolveTokens(\\\"text-field\\\",T,r,p),A=ne.factory(M);Tc(A)&&(this.hasRTLText=!0),(!this.hasRTLText||\\\"unavailable\\\"===ui()||this.hasRTLText&&hi.isParsed())&&(k=el(A,n,T))}var S=void 0;if(c){var E=n.getValueAndResolveTokens(\\\"icon-image\\\",T,r,p);S=E instanceof ie?E:ie.fromString(E)}if(k||S){var L=this.sortFeaturesByKey?u.evaluate(T,{},r):void 0,C={id:x,text:k,icon:S,index:b,sourceLayerIndex:_,geometry:Ya(y),properties:y.properties,type:xc[y.type],sortKey:L};if(this.features.push(C),S&&(f[S.name]=!0),k){var P=a.evaluate(T,{},r).join(\\\",\\\"),I=\\\"map\\\"===i.get(\\\"text-rotation-alignment\\\")&&\\\"point\\\"!==i.get(\\\"symbol-placement\\\");this.allowVerticalPlacement=this.writingModes&&this.writingModes.indexOf(Cl.vertical)>=0;for(var O=0,z=k.sections;O<z.length;O+=1){var D=z[O];if(D.image)f[D.image.name]=!0;else{var R=Wn(k.toString()),F=D.fontStack||P,B=h[F]=h[F]||{};this.calculateGlyphDependencies(D.text,B,I,this.allowVerticalPlacement,R)}}}}}}\\\"line\\\"===i.get(\\\"symbol-placement\\\")&&(this.features=function(t){var e={},r={},n=[],i=0;function a(e){n.push(t[e]),i++}function o(t,e,i){var a=r[t];return delete r[t],r[e]=a,n[a].geometry[0].pop(),n[a].geometry[0]=n[a].geometry[0].concat(i[0]),a}function s(t,r,i){var a=e[r];return delete e[r],e[t]=a,n[a].geometry[0].shift(),n[a].geometry[0]=i[0].concat(n[a].geometry[0]),a}function l(t,e,r){var n=r?e[0][e[0].length-1]:e[0][0];return t+\\\":\\\"+n.x+\\\":\\\"+n.y}for(var c=0;c<t.length;c++){var u=t[c],f=u.geometry,h=u.text?u.text.toString():null;if(h){var p=l(h,f),d=l(h,f,!0);if(p in r&&d in e&&r[p]!==e[d]){var m=s(p,d,f),g=o(p,d,n[m].geometry);delete e[p],delete r[d],r[l(h,n[g].geometry,!0)]=g,n[m].geometry=null}else p in r?o(p,d,f):d in e?s(p,d,f):(a(c),e[p]=i-1,r[d]=i-1)}else a(c)}return n.filter((function(t){return t.geometry}))}(this.features)),this.sortFeaturesByKey&&this.features.sort((function(t,e){return t.sortKey-e.sortKey}))}},Ac.prototype.update=function(t,e,r){this.stateDependentLayers.length&&(this.text.programConfigurations.updatePaintArrays(t,e,this.layers,r),this.icon.programConfigurations.updatePaintArrays(t,e,this.layers,r))},Ac.prototype.isEmpty=function(){return 0===this.symbolInstances.length&&!this.hasRTLText},Ac.prototype.uploadPending=function(){return!this.uploaded||this.text.programConfigurations.needsUpload||this.icon.programConfigurations.needsUpload},Ac.prototype.upload=function(t){!this.uploaded&&this.hasDebugData()&&(this.textCollisionBox.upload(t),this.iconCollisionBox.upload(t)),this.text.upload(t,this.sortFeaturesByY,!this.uploaded,this.text.programConfigurations.needsUpload),this.icon.upload(t,this.sortFeaturesByY,!this.uploaded,this.icon.programConfigurations.needsUpload),this.uploaded=!0},Ac.prototype.destroyDebugData=function(){this.textCollisionBox.destroy(),this.iconCollisionBox.destroy()},Ac.prototype.destroy=function(){this.text.destroy(),this.icon.destroy(),this.hasDebugData()&&this.destroyDebugData()},Ac.prototype.addToLineVertexArray=function(t,e){var r=this.lineVertexArray.length;if(void 0!==t.segment){for(var n=t.dist(e[t.segment+1]),i=t.dist(e[t.segment]),a={},o=t.segment+1;o<e.length;o++)a[o]={x:e[o].x,y:e[o].y,tileUnitDistanceFromAnchor:n},o<e.length-1&&(n+=e[o+1].dist(e[o]));for(var s=t.segment||0;s>=0;s--)a[s]={x:e[s].x,y:e[s].y,tileUnitDistanceFromAnchor:i},s>0&&(i+=e[s-1].dist(e[s]));for(var l=0;l<e.length;l++){var c=a[l];this.lineVertexArray.emplaceBack(c.x,c.y,c.tileUnitDistanceFromAnchor)}}return{lineStartIndex:r,lineLength:this.lineVertexArray.length-r}},Ac.prototype.addSymbols=function(t,e,r,n,i,a,o,s,l,c,u,f){for(var h=t.indexArray,p=t.layoutVertexArray,d=t.segments.prepareSegment(4*e.length,p,h,a.sortKey),m=this.glyphOffsetArray.length,g=d.vertexLength,v=this.allowVerticalPlacement&&o===Cl.vertical?Math.PI/2:0,y=a.text&&a.text.sections,x=0;x<e.length;x++){var b=e[x],_=b.tl,w=b.tr,T=b.bl,k=b.br,M=b.tex,A=b.pixelOffsetTL,S=b.pixelOffsetBR,E=b.minFontScaleX,L=b.minFontScaleY,C=b.glyphOffset,P=b.isSDF,I=b.sectionIndex,O=d.vertexLength,z=C[1];_c(p,s.x,s.y,_.x,z+_.y,M.x,M.y,r,P,A.x,A.y,E,L),_c(p,s.x,s.y,w.x,z+w.y,M.x+M.w,M.y,r,P,S.x,A.y,E,L),_c(p,s.x,s.y,T.x,z+T.y,M.x,M.y+M.h,r,P,A.x,S.y,E,L),_c(p,s.x,s.y,k.x,z+k.y,M.x+M.w,M.y+M.h,r,P,S.x,S.y,E,L),wc(t.dynamicLayoutVertexArray,s,v),h.emplaceBack(O,O+1,O+2),h.emplaceBack(O+1,O+2,O+3),d.vertexLength+=4,d.primitiveLength+=2,this.glyphOffsetArray.emplaceBack(C[0]),x!==e.length-1&&I===e[x+1].sectionIndex||t.programConfigurations.populatePaintArrays(p.length,a,a.index,{},f,y&&y[I])}t.placedSymbolArray.emplaceBack(s.x,s.y,m,this.glyphOffsetArray.length-m,g,l,c,s.segment,r?r[0]:0,r?r[1]:0,n[0],n[1],o,0,!1,0,u)},Ac.prototype._addCollisionDebugVertex=function(t,e,r,n,i,a){return e.emplaceBack(0,0),t.emplaceBack(r.x,r.y,n,i,Math.round(a.x),Math.round(a.y))},Ac.prototype.addCollisionDebugVertices=function(t,e,r,n,a,o,s){var l=a.segments.prepareSegment(4,a.layoutVertexArray,a.indexArray),c=l.vertexLength,u=a.layoutVertexArray,f=a.collisionVertexArray,h=s.anchorX,p=s.anchorY;this._addCollisionDebugVertex(u,f,o,h,p,new i(t,e)),this._addCollisionDebugVertex(u,f,o,h,p,new i(r,e)),this._addCollisionDebugVertex(u,f,o,h,p,new i(r,n)),this._addCollisionDebugVertex(u,f,o,h,p,new i(t,n)),l.vertexLength+=4;var d=a.indexArray;d.emplaceBack(c,c+1),d.emplaceBack(c+1,c+2),d.emplaceBack(c+2,c+3),d.emplaceBack(c+3,c),l.primitiveLength+=4},Ac.prototype.addDebugCollisionBoxes=function(t,e,r,n){for(var i=t;i<e;i++){var a=this.collisionBoxArray.get(i),o=a.x1,s=a.y1,l=a.x2,c=a.y2;this.addCollisionDebugVertices(o,s,l,c,n?this.textCollisionBox:this.iconCollisionBox,a.anchorPoint,r)}},Ac.prototype.generateCollisionDebugBuffers=function(){this.hasDebugData()&&this.destroyDebugData(),this.textCollisionBox=new Mc(qi,$s.members,Qi),this.iconCollisionBox=new Mc(qi,$s.members,Qi);for(var t=0;t<this.symbolInstances.length;t++){var e=this.symbolInstances.get(t);this.addDebugCollisionBoxes(e.textBoxStartIndex,e.textBoxEndIndex,e,!0),this.addDebugCollisionBoxes(e.verticalTextBoxStartIndex,e.verticalTextBoxEndIndex,e,!0),this.addDebugCollisionBoxes(e.iconBoxStartIndex,e.iconBoxEndIndex,e,!1),this.addDebugCollisionBoxes(e.verticalIconBoxStartIndex,e.verticalIconBoxEndIndex,e,!1)}},Ac.prototype._deserializeCollisionBoxesForSymbol=function(t,e,r,n,i,a,o,s,l){for(var c={},u=e;u<r;u++){var f=t.get(u);c.textBox={x1:f.x1,y1:f.y1,x2:f.x2,y2:f.y2,anchorPointX:f.anchorPointX,anchorPointY:f.anchorPointY},c.textFeatureIndex=f.featureIndex;break}for(var h=n;h<i;h++){var p=t.get(h);c.verticalTextBox={x1:p.x1,y1:p.y1,x2:p.x2,y2:p.y2,anchorPointX:p.anchorPointX,anchorPointY:p.anchorPointY},c.verticalTextFeatureIndex=p.featureIndex;break}for(var d=a;d<o;d++){var m=t.get(d);c.iconBox={x1:m.x1,y1:m.y1,x2:m.x2,y2:m.y2,anchorPointX:m.anchorPointX,anchorPointY:m.anchorPointY},c.iconFeatureIndex=m.featureIndex;break}for(var g=s;g<l;g++){var v=t.get(g);c.verticalIconBox={x1:v.x1,y1:v.y1,x2:v.x2,y2:v.y2,anchorPointX:v.anchorPointX,anchorPointY:v.anchorPointY},c.verticalIconFeatureIndex=v.featureIndex;break}return c},Ac.prototype.deserializeCollisionBoxes=function(t){this.collisionArrays=[];for(var e=0;e<this.symbolInstances.length;e++){var r=this.symbolInstances.get(e);this.collisionArrays.push(this._deserializeCollisionBoxesForSymbol(t,r.textBoxStartIndex,r.textBoxEndIndex,r.verticalTextBoxStartIndex,r.verticalTextBoxEndIndex,r.iconBoxStartIndex,r.iconBoxEndIndex,r.verticalIconBoxStartIndex,r.verticalIconBoxEndIndex))}},Ac.prototype.hasTextData=function(){return this.text.segments.get().length>0},Ac.prototype.hasIconData=function(){return this.icon.segments.get().length>0},Ac.prototype.hasDebugData=function(){return this.textCollisionBox&&this.iconCollisionBox},Ac.prototype.hasTextCollisionBoxData=function(){return this.hasDebugData()&&this.textCollisionBox.segments.get().length>0},Ac.prototype.hasIconCollisionBoxData=function(){return this.hasDebugData()&&this.iconCollisionBox.segments.get().length>0},Ac.prototype.addIndicesForPlacedSymbol=function(t,e){for(var r=t.placedSymbolArray.get(e),n=r.vertexStartIndex+4*r.numGlyphs,i=r.vertexStartIndex;i<n;i+=4)t.indexArray.emplaceBack(i,i+1,i+2),t.indexArray.emplaceBack(i+1,i+2,i+3)},Ac.prototype.getSortedSymbolIndexes=function(t){if(this.sortedAngle===t&&void 0!==this.symbolInstanceIndexes)return this.symbolInstanceIndexes;for(var e=Math.sin(t),r=Math.cos(t),n=[],i=[],a=[],o=0;o<this.symbolInstances.length;++o){a.push(o);var s=this.symbolInstances.get(o);n.push(0|Math.round(e*s.anchorX+r*s.anchorY)),i.push(s.featureIndex)}return a.sort((function(t,e){return n[t]-n[e]||i[e]-i[t]})),a},Ac.prototype.addToSortKeyRanges=function(t,e){var r=this.sortKeyRanges[this.sortKeyRanges.length-1];r&&r.sortKey===e?r.symbolInstanceEnd=t+1:this.sortKeyRanges.push({sortKey:e,symbolInstanceStart:t,symbolInstanceEnd:t+1})},Ac.prototype.sortFeatures=function(t){var e=this;if(this.sortFeaturesByY&&this.sortedAngle!==t&&!(this.text.segments.get().length>1||this.icon.segments.get().length>1)){this.symbolInstanceIndexes=this.getSortedSymbolIndexes(t),this.sortedAngle=t,this.text.indexArray.clear(),this.icon.indexArray.clear(),this.featureSortOrder=[];for(var r=0,n=this.symbolInstanceIndexes;r<n.length;r+=1){var i=n[r],a=this.symbolInstances.get(i);this.featureSortOrder.push(a.featureIndex),[a.rightJustifiedTextSymbolIndex,a.centerJustifiedTextSymbolIndex,a.leftJustifiedTextSymbolIndex].forEach((function(t,r,n){t>=0&&n.indexOf(t)===r&&e.addIndicesForPlacedSymbol(e.text,t)})),a.verticalPlacedTextSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.text,a.verticalPlacedTextSymbolIndex),a.placedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,a.placedIconSymbolIndex),a.verticalPlacedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,a.verticalPlacedIconSymbolIndex)}this.text.indexBuffer&&this.text.indexBuffer.updateData(this.text.indexArray),this.icon.indexBuffer&&this.icon.indexBuffer.updateData(this.icon.indexArray)}},Nn(\\\"SymbolBucket\\\",Ac,{omit:[\\\"layers\\\",\\\"collisionBoxArray\\\",\\\"features\\\",\\\"compareText\\\"]}),Ac.MAX_GLYPHS=65535,Ac.addDynamicAttributes=wc;var Sc=new Si({\\\"symbol-placement\\\":new wi(Lt.layout_symbol[\\\"symbol-placement\\\"]),\\\"symbol-spacing\\\":new wi(Lt.layout_symbol[\\\"symbol-spacing\\\"]),\\\"symbol-avoid-edges\\\":new wi(Lt.layout_symbol[\\\"symbol-avoid-edges\\\"]),\\\"symbol-sort-key\\\":new Ti(Lt.layout_symbol[\\\"symbol-sort-key\\\"]),\\\"symbol-z-order\\\":new wi(Lt.layout_symbol[\\\"symbol-z-order\\\"]),\\\"icon-allow-overlap\\\":new wi(Lt.layout_symbol[\\\"icon-allow-overlap\\\"]),\\\"icon-ignore-placement\\\":new wi(Lt.layout_symbol[\\\"icon-ignore-placement\\\"]),\\\"icon-optional\\\":new wi(Lt.layout_symbol[\\\"icon-optional\\\"]),\\\"icon-rotation-alignment\\\":new wi(Lt.layout_symbol[\\\"icon-rotation-alignment\\\"]),\\\"icon-size\\\":new Ti(Lt.layout_symbol[\\\"icon-size\\\"]),\\\"icon-text-fit\\\":new wi(Lt.layout_symbol[\\\"icon-text-fit\\\"]),\\\"icon-text-fit-padding\\\":new wi(Lt.layout_symbol[\\\"icon-text-fit-padding\\\"]),\\\"icon-image\\\":new Ti(Lt.layout_symbol[\\\"icon-image\\\"]),\\\"icon-rotate\\\":new Ti(Lt.layout_symbol[\\\"icon-rotate\\\"]),\\\"icon-padding\\\":new wi(Lt.layout_symbol[\\\"icon-padding\\\"]),\\\"icon-keep-upright\\\":new wi(Lt.layout_symbol[\\\"icon-keep-upright\\\"]),\\\"icon-offset\\\":new Ti(Lt.layout_symbol[\\\"icon-offset\\\"]),\\\"icon-anchor\\\":new Ti(Lt.layout_symbol[\\\"icon-anchor\\\"]),\\\"icon-pitch-alignment\\\":new wi(Lt.layout_symbol[\\\"icon-pitch-alignment\\\"]),\\\"text-pitch-alignment\\\":new wi(Lt.layout_symbol[\\\"text-pitch-alignment\\\"]),\\\"text-rotation-alignment\\\":new wi(Lt.layout_symbol[\\\"text-rotation-alignment\\\"]),\\\"text-field\\\":new Ti(Lt.layout_symbol[\\\"text-field\\\"]),\\\"text-font\\\":new Ti(Lt.layout_symbol[\\\"text-font\\\"]),\\\"text-size\\\":new Ti(Lt.layout_symbol[\\\"text-size\\\"]),\\\"text-max-width\\\":new Ti(Lt.layout_symbol[\\\"text-max-width\\\"]),\\\"text-line-height\\\":new wi(Lt.layout_symbol[\\\"text-line-height\\\"]),\\\"text-letter-spacing\\\":new Ti(Lt.layout_symbol[\\\"text-letter-spacing\\\"]),\\\"text-justify\\\":new Ti(Lt.layout_symbol[\\\"text-justify\\\"]),\\\"text-radial-offset\\\":new Ti(Lt.layout_symbol[\\\"text-radial-offset\\\"]),\\\"text-variable-anchor\\\":new wi(Lt.layout_symbol[\\\"text-variable-anchor\\\"]),\\\"text-anchor\\\":new Ti(Lt.layout_symbol[\\\"text-anchor\\\"]),\\\"text-max-angle\\\":new wi(Lt.layout_symbol[\\\"text-max-angle\\\"]),\\\"text-writing-mode\\\":new wi(Lt.layout_symbol[\\\"text-writing-mode\\\"]),\\\"text-rotate\\\":new Ti(Lt.layout_symbol[\\\"text-rotate\\\"]),\\\"text-padding\\\":new wi(Lt.layout_symbol[\\\"text-padding\\\"]),\\\"text-keep-upright\\\":new wi(Lt.layout_symbol[\\\"text-keep-upright\\\"]),\\\"text-transform\\\":new Ti(Lt.layout_symbol[\\\"text-transform\\\"]),\\\"text-offset\\\":new Ti(Lt.layout_symbol[\\\"text-offset\\\"]),\\\"text-allow-overlap\\\":new wi(Lt.layout_symbol[\\\"text-allow-overlap\\\"]),\\\"text-ignore-placement\\\":new wi(Lt.layout_symbol[\\\"text-ignore-placement\\\"]),\\\"text-optional\\\":new wi(Lt.layout_symbol[\\\"text-optional\\\"])}),Ec={paint:new Si({\\\"icon-opacity\\\":new Ti(Lt.paint_symbol[\\\"icon-opacity\\\"]),\\\"icon-color\\\":new Ti(Lt.paint_symbol[\\\"icon-color\\\"]),\\\"icon-halo-color\\\":new Ti(Lt.paint_symbol[\\\"icon-halo-color\\\"]),\\\"icon-halo-width\\\":new Ti(Lt.paint_symbol[\\\"icon-halo-width\\\"]),\\\"icon-halo-blur\\\":new Ti(Lt.paint_symbol[\\\"icon-halo-blur\\\"]),\\\"icon-translate\\\":new wi(Lt.paint_symbol[\\\"icon-translate\\\"]),\\\"icon-translate-anchor\\\":new wi(Lt.paint_symbol[\\\"icon-translate-anchor\\\"]),\\\"text-opacity\\\":new Ti(Lt.paint_symbol[\\\"text-opacity\\\"]),\\\"text-color\\\":new Ti(Lt.paint_symbol[\\\"text-color\\\"],{runtimeType:Ut,getOverride:function(t){return t.textColor},hasOverride:function(t){return!!t.textColor}}),\\\"text-halo-color\\\":new Ti(Lt.paint_symbol[\\\"text-halo-color\\\"]),\\\"text-halo-width\\\":new Ti(Lt.paint_symbol[\\\"text-halo-width\\\"]),\\\"text-halo-blur\\\":new Ti(Lt.paint_symbol[\\\"text-halo-blur\\\"]),\\\"text-translate\\\":new wi(Lt.paint_symbol[\\\"text-translate\\\"]),\\\"text-translate-anchor\\\":new wi(Lt.paint_symbol[\\\"text-translate-anchor\\\"])}),layout:Sc},Lc=function(t){this.type=t.property.overrides?t.property.overrides.runtimeType:Ft,this.defaultValue=t};Lc.prototype.evaluate=function(t){if(t.formattedSection){var e=this.defaultValue.property.overrides;if(e&&e.hasOverride(t.formattedSection))return e.getOverride(t.formattedSection)}return t.feature&&t.featureState?this.defaultValue.evaluate(t.feature,t.featureState):this.defaultValue.property.specification.default},Lc.prototype.eachChild=function(t){this.defaultValue.isConstant()||t(this.defaultValue.value._styleExpression.expression)},Lc.prototype.outputDefined=function(){return!1},Lc.prototype.serialize=function(){return null},Nn(\\\"FormatSectionOverride\\\",Lc,{omit:[\\\"defaultValue\\\"]});var Cc=function(t){function e(e){t.call(this,e,Ec)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.recalculate=function(e,r){if(t.prototype.recalculate.call(this,e,r),\\\"auto\\\"===this.layout.get(\\\"icon-rotation-alignment\\\")&&(\\\"point\\\"!==this.layout.get(\\\"symbol-placement\\\")?this.layout._values[\\\"icon-rotation-alignment\\\"]=\\\"map\\\":this.layout._values[\\\"icon-rotation-alignment\\\"]=\\\"viewport\\\"),\\\"auto\\\"===this.layout.get(\\\"text-rotation-alignment\\\")&&(\\\"point\\\"!==this.layout.get(\\\"symbol-placement\\\")?this.layout._values[\\\"text-rotation-alignment\\\"]=\\\"map\\\":this.layout._values[\\\"text-rotation-alignment\\\"]=\\\"viewport\\\"),\\\"auto\\\"===this.layout.get(\\\"text-pitch-alignment\\\")&&(this.layout._values[\\\"text-pitch-alignment\\\"]=this.layout.get(\\\"text-rotation-alignment\\\")),\\\"auto\\\"===this.layout.get(\\\"icon-pitch-alignment\\\")&&(this.layout._values[\\\"icon-pitch-alignment\\\"]=this.layout.get(\\\"icon-rotation-alignment\\\")),\\\"point\\\"===this.layout.get(\\\"symbol-placement\\\")){var n=this.layout.get(\\\"text-writing-mode\\\");if(n){for(var i=[],a=0,o=n;a<o.length;a+=1){var s=o[a];i.indexOf(s)<0&&i.push(s)}this.layout._values[\\\"text-writing-mode\\\"]=i}else this.layout._values[\\\"text-writing-mode\\\"]=[\\\"horizontal\\\"]}this._setPaintOverrides()},e.prototype.getValueAndResolveTokens=function(t,e,r,n){var i=this.layout.get(t).evaluate(e,{},r,n),a=this._unevaluatedLayout._values[t];return a.isDataDriven()||Yr(a.value)||!i?i:function(t,e){return e.replace(/{([^{}]+)}/g,(function(e,r){return r in t?String(t[r]):\\\"\\\"}))}(e.properties,i)},e.prototype.createBucket=function(t){return new Ac(t)},e.prototype.queryRadius=function(){return 0},e.prototype.queryIntersectsFeature=function(){return!1},e.prototype._setPaintOverrides=function(){for(var t=0,r=Ec.paint.overridableProperties;t<r.length;t+=1){var n=r[t];if(e.hasPaintOverride(this.layout,n)){var i=this.paint.get(n),a=new Lc(i),o=new Gr(a,i.property.specification),s=null;s=\\\"constant\\\"===i.value.kind||\\\"source\\\"===i.value.kind?new Xr(\\\"source\\\",o):new Zr(\\\"composite\\\",o,i.value.zoomStops,i.value._interpolationType),this.paint._values[n]=new bi(i.property,s,i.parameters)}}},e.prototype._handleOverridablePaintPropertyUpdate=function(t,r,n){return!(!this.layout||r.isDataDriven()||n.isDataDriven())&&e.hasPaintOverride(this.layout,t)},e.hasPaintOverride=function(t,e){var r=t.get(\\\"text-field\\\"),n=Ec.paint.properties[e],i=!1,a=function(t){for(var e=0,r=t;e<r.length;e+=1){var a=r[e];if(n.overrides&&n.overrides.hasOverride(a))return void(i=!0)}};if(\\\"constant\\\"===r.value.kind&&r.value.value instanceof ne)a(r.value.value.sections);else if(\\\"source\\\"===r.value.kind){var o=function(t){if(!i)if(t instanceof ce&&se(t.value)===Gt){var e=t.value;a(e.sections)}else t instanceof pe?a(t.sections):t.eachChild(o)},s=r.value;s._styleExpression&&o(s._styleExpression.expression)}return i},e}(Ei),Pc={paint:new Si({\\\"background-color\\\":new wi(Lt.paint_background[\\\"background-color\\\"]),\\\"background-pattern\\\":new Mi(Lt.paint_background[\\\"background-pattern\\\"]),\\\"background-opacity\\\":new wi(Lt.paint_background[\\\"background-opacity\\\"])})},Ic=function(t){function e(e){t.call(this,e,Pc)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(Ei),Oc={paint:new Si({\\\"raster-opacity\\\":new wi(Lt.paint_raster[\\\"raster-opacity\\\"]),\\\"raster-hue-rotate\\\":new wi(Lt.paint_raster[\\\"raster-hue-rotate\\\"]),\\\"raster-brightness-min\\\":new wi(Lt.paint_raster[\\\"raster-brightness-min\\\"]),\\\"raster-brightness-max\\\":new wi(Lt.paint_raster[\\\"raster-brightness-max\\\"]),\\\"raster-saturation\\\":new wi(Lt.paint_raster[\\\"raster-saturation\\\"]),\\\"raster-contrast\\\":new wi(Lt.paint_raster[\\\"raster-contrast\\\"]),\\\"raster-resampling\\\":new wi(Lt.paint_raster[\\\"raster-resampling\\\"]),\\\"raster-fade-duration\\\":new wi(Lt.paint_raster[\\\"raster-fade-duration\\\"])})},zc=function(t){function e(e){t.call(this,e,Oc)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(Ei);var Dc=function(t){function e(e){t.call(this,e,{}),this.implementation=e}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.is3D=function(){return\\\"3d\\\"===this.implementation.renderingMode},e.prototype.hasOffscreenPass=function(){return void 0!==this.implementation.prerender},e.prototype.recalculate=function(){},e.prototype.updateTransitions=function(){},e.prototype.hasTransition=function(){},e.prototype.serialize=function(){},e.prototype.onAdd=function(t){this.implementation.onAdd&&this.implementation.onAdd(t,t.painter.context.gl)},e.prototype.onRemove=function(t){this.implementation.onRemove&&this.implementation.onRemove(t,t.painter.context.gl)},e}(Ei),Rc={circle:_o,heatmap:Po,hillshade:Oo,fill:xs,\\\"fill-extrusion\\\":Fs,line:Xs,symbol:Cc,background:Ic,raster:zc};var Fc=self.HTMLImageElement,Bc=self.HTMLCanvasElement,Nc=self.HTMLVideoElement,jc=self.ImageData,Uc=self.ImageBitmap,Vc=function(t,e,r,n){this.context=t,this.format=r,this.texture=t.gl.createTexture(),this.update(e,n)};Vc.prototype.update=function(t,e,r){var n=t.width,i=t.height,a=!(this.size&&this.size[0]===n&&this.size[1]===i||r),o=this.context,s=o.gl;if(this.useMipmap=Boolean(e&&e.useMipmap),s.bindTexture(s.TEXTURE_2D,this.texture),o.pixelStoreUnpackFlipY.set(!1),o.pixelStoreUnpack.set(1),o.pixelStoreUnpackPremultiplyAlpha.set(this.format===s.RGBA&&(!e||!1!==e.premultiply)),a)this.size=[n,i],t instanceof Fc||t instanceof Bc||t instanceof Nc||t instanceof jc||Uc&&t instanceof Uc?s.texImage2D(s.TEXTURE_2D,0,this.format,this.format,s.UNSIGNED_BYTE,t):s.texImage2D(s.TEXTURE_2D,0,this.format,n,i,0,this.format,s.UNSIGNED_BYTE,t.data);else{var l=r||{x:0,y:0},c=l.x,u=l.y;t instanceof Fc||t instanceof Bc||t instanceof Nc||t instanceof jc||Uc&&t instanceof Uc?s.texSubImage2D(s.TEXTURE_2D,0,c,u,s.RGBA,s.UNSIGNED_BYTE,t):s.texSubImage2D(s.TEXTURE_2D,0,c,u,n,i,s.RGBA,s.UNSIGNED_BYTE,t.data)}this.useMipmap&&this.isSizePowerOfTwo()&&s.generateMipmap(s.TEXTURE_2D)},Vc.prototype.bind=function(t,e,r){var n=this.context.gl;n.bindTexture(n.TEXTURE_2D,this.texture),r!==n.LINEAR_MIPMAP_NEAREST||this.isSizePowerOfTwo()||(r=n.LINEAR),t!==this.filter&&(n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MAG_FILTER,t),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MIN_FILTER,r||t),this.filter=t),e!==this.wrap&&(n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_S,e),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_T,e),this.wrap=e)},Vc.prototype.isSizePowerOfTwo=function(){return this.size[0]===this.size[1]&&Math.log(this.size[0])/Math.LN2%1==0},Vc.prototype.destroy=function(){this.context.gl.deleteTexture(this.texture),this.texture=null};var qc=function(t){var e=this;this._callback=t,this._triggered=!1,\\\"undefined\\\"!=typeof MessageChannel&&(this._channel=new MessageChannel,this._channel.port2.onmessage=function(){e._triggered=!1,e._callback()})};qc.prototype.trigger=function(){var t=this;this._triggered||(this._triggered=!0,this._channel?this._channel.port1.postMessage(!0):setTimeout((function(){t._triggered=!1,t._callback()}),0))},qc.prototype.remove=function(){delete this._channel,this._callback=function(){}};var Hc=function(t,e,r){this.target=t,this.parent=e,this.mapId=r,this.callbacks={},this.tasks={},this.taskQueue=[],this.cancelCallbacks={},m([\\\"receive\\\",\\\"process\\\"],this),this.invoker=new qc(this.process),this.target.addEventListener(\\\"message\\\",this.receive,!1),this.globalScope=k()?t:self};function Gc(t,e,r){var n=2*Math.PI*6378137/256/Math.pow(2,r);return[t*n-2*Math.PI*6378137/2,e*n-2*Math.PI*6378137/2]}Hc.prototype.send=function(t,e,r,n,i){var a=this;void 0===i&&(i=!1);var o=Math.round(1e18*Math.random()).toString(36).substring(0,10);r&&(this.callbacks[o]=r);var s=S(this.globalScope)?void 0:[];return this.target.postMessage({id:o,type:t,hasCallback:!!r,targetMapId:n,mustQueue:i,sourceMapId:this.mapId,data:qn(e,s)},s),{cancel:function(){r&&delete a.callbacks[o],a.target.postMessage({id:o,type:\\\"<cancel>\\\",targetMapId:n,sourceMapId:a.mapId})}}},Hc.prototype.receive=function(t){var e=t.data,r=e.id;if(r&&(!e.targetMapId||this.mapId===e.targetMapId))if(\\\"<cancel>\\\"===e.type){delete this.tasks[r];var n=this.cancelCallbacks[r];delete this.cancelCallbacks[r],n&&n()}else k()||e.mustQueue?(this.tasks[r]=e,this.taskQueue.push(r),this.invoker.trigger()):this.processTask(r,e)},Hc.prototype.process=function(){if(this.taskQueue.length){var t=this.taskQueue.shift(),e=this.tasks[t];delete this.tasks[t],this.taskQueue.length&&this.invoker.trigger(),e&&this.processTask(t,e)}},Hc.prototype.processTask=function(t,e){var r=this;if(\\\"<response>\\\"===e.type){var n=this.callbacks[t];delete this.callbacks[t],n&&(e.error?n(Hn(e.error)):n(null,Hn(e.data)))}else{var i=!1,a=S(this.globalScope)?void 0:[],o=e.hasCallback?function(e,n){i=!0,delete r.cancelCallbacks[t],r.target.postMessage({id:t,type:\\\"<response>\\\",sourceMapId:r.mapId,error:e?qn(e):null,data:qn(n,a)},a)}:function(t){i=!0},s=null,l=Hn(e.data);if(this.parent[e.type])s=this.parent[e.type](e.sourceMapId,l,o);else if(this.parent.getWorkerSource){var c=e.type.split(\\\".\\\");s=this.parent.getWorkerSource(e.sourceMapId,c[0],l.source)[c[1]](l,o)}else o(new Error(\\\"Could not find function \\\"+e.type));!i&&s&&s.cancel&&(this.cancelCallbacks[t]=s.cancel)}},Hc.prototype.remove=function(){this.invoker.remove(),this.target.removeEventListener(\\\"message\\\",this.receive,!1)};var Yc=function(t,e){t&&(e?this.setSouthWest(t).setNorthEast(e):4===t.length?this.setSouthWest([t[0],t[1]]).setNorthEast([t[2],t[3]]):this.setSouthWest(t[0]).setNorthEast(t[1]))};Yc.prototype.setNorthEast=function(t){return this._ne=t instanceof Wc?new Wc(t.lng,t.lat):Wc.convert(t),this},Yc.prototype.setSouthWest=function(t){return this._sw=t instanceof Wc?new Wc(t.lng,t.lat):Wc.convert(t),this},Yc.prototype.extend=function(t){var e,r,n=this._sw,i=this._ne;if(t instanceof Wc)e=t,r=t;else{if(!(t instanceof Yc)){if(Array.isArray(t)){if(4===t.length||t.every(Array.isArray)){var a=t;return this.extend(Yc.convert(a))}var o=t;return this.extend(Wc.convert(o))}return this}if(e=t._sw,r=t._ne,!e||!r)return this}return n||i?(n.lng=Math.min(e.lng,n.lng),n.lat=Math.min(e.lat,n.lat),i.lng=Math.max(r.lng,i.lng),i.lat=Math.max(r.lat,i.lat)):(this._sw=new Wc(e.lng,e.lat),this._ne=new Wc(r.lng,r.lat)),this},Yc.prototype.getCenter=function(){return new Wc((this._sw.lng+this._ne.lng)/2,(this._sw.lat+this._ne.lat)/2)},Yc.prototype.getSouthWest=function(){return this._sw},Yc.prototype.getNorthEast=function(){return this._ne},Yc.prototype.getNorthWest=function(){return new Wc(this.getWest(),this.getNorth())},Yc.prototype.getSouthEast=function(){return new Wc(this.getEast(),this.getSouth())},Yc.prototype.getWest=function(){return this._sw.lng},Yc.prototype.getSouth=function(){return this._sw.lat},Yc.prototype.getEast=function(){return this._ne.lng},Yc.prototype.getNorth=function(){return this._ne.lat},Yc.prototype.toArray=function(){return[this._sw.toArray(),this._ne.toArray()]},Yc.prototype.toString=function(){return\\\"LngLatBounds(\\\"+this._sw.toString()+\\\", \\\"+this._ne.toString()+\\\")\\\"},Yc.prototype.isEmpty=function(){return!(this._sw&&this._ne)},Yc.prototype.contains=function(t){var e=Wc.convert(t),r=e.lng,n=e.lat,i=this._sw.lat<=n&&n<=this._ne.lat,a=this._sw.lng<=r&&r<=this._ne.lng;return this._sw.lng>this._ne.lng&&(a=this._sw.lng>=r&&r>=this._ne.lng),i&&a},Yc.convert=function(t){return!t||t instanceof Yc?t:new Yc(t)};var Wc=function(t,e){if(isNaN(t)||isNaN(e))throw new Error(\\\"Invalid LngLat object: (\\\"+t+\\\", \\\"+e+\\\")\\\");if(this.lng=+t,this.lat=+e,this.lat>90||this.lat<-90)throw new Error(\\\"Invalid LngLat latitude value: must be between -90 and 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this.z===t.z&&this.x===t.x&&this.y===t.y},eu.prototype.url=function(t,e){var r,n,i,a,o,s=(r=this.x,n=this.y,i=this.z,a=Gc(256*r,256*(n=Math.pow(2,i)-n-1),i),o=Gc(256*(r+1),256*(n+1),i),a[0]+\\\",\\\"+a[1]+\\\",\\\"+o[0]+\\\",\\\"+o[1]),l=function(t,e,r){for(var n,i=\\\"\\\",a=t;a>0;a--)i+=(e&(n=1<<a-1)?1:0)+(r&n?2:0);return i}(this.z,this.x,this.y);return t[(this.x+this.y)%t.length].replace(\\\"{prefix}\\\",(this.x%16).toString(16)+(this.y%16).toString(16)).replace(\\\"{z}\\\",String(this.z)).replace(\\\"{x}\\\",String(this.x)).replace(\\\"{y}\\\",String(\\\"tms\\\"===e?Math.pow(2,this.z)-this.y-1:this.y)).replace(\\\"{quadkey}\\\",l).replace(\\\"{bbox-epsg-3857}\\\",s)},eu.prototype.getTilePoint=function(t){var e=Math.pow(2,this.z);return new i(8192*(t.x*e-this.x),8192*(t.y*e-this.y))},eu.prototype.toString=function(){return this.z+\\\"/\\\"+this.x+\\\"/\\\"+this.y};var ru=function(t,e){this.wrap=t,this.canonical=e,this.key=iu(t,e.z,e.z,e.x,e.y)},nu=function(t,e,r,n,i){this.overscaledZ=t,this.wrap=e,this.canonical=new eu(r,+n,+i),this.key=iu(e,t,r,n,i)};function iu(t,e,r,n,i){(t*=2)<0&&(t=-1*t-1);var a=1<<r;return(a*a*t+a*i+n).toString(36)+r.toString(36)+e.toString(36)}nu.prototype.equals=function(t){return this.overscaledZ===t.overscaledZ&&this.wrap===t.wrap&&this.canonical.equals(t.canonical)},nu.prototype.scaledTo=function(t){var e=this.canonical.z-t;return t>this.canonical.z?new nu(t,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y):new nu(t,this.wrap,t,this.canonical.x>>e,this.canonical.y>>e)},nu.prototype.calculateScaledKey=function(t,e){var r=this.canonical.z-t;return t>this.canonical.z?iu(this.wrap*+e,t,this.canonical.z,this.canonical.x,this.canonical.y):iu(this.wrap*+e,t,t,this.canonical.x>>r,this.canonical.y>>r)},nu.prototype.isChildOf=function(t){if(t.wrap!==this.wrap)return!1;var e=this.canonical.z-t.canonical.z;return 0===t.overscaledZ||t.overscaledZ<this.overscaledZ&&t.canonical.x===this.canonical.x>>e&&t.canonical.y===this.canonical.y>>e},nu.prototype.children=function(t){if(this.overscaledZ>=t)return[new nu(this.overscaledZ+1,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y)];var e=this.canonical.z+1,r=2*this.canonical.x,n=2*this.canonical.y;return[new nu(e,this.wrap,e,r,n),new nu(e,this.wrap,e,r+1,n),new nu(e,this.wrap,e,r,n+1),new nu(e,this.wrap,e,r+1,n+1)]},nu.prototype.isLessThan=function(t){return this.wrap<t.wrap||!(this.wrap>t.wrap)&&(this.overscaledZ<t.overscaledZ||!(this.overscaledZ>t.overscaledZ)&&(this.canonical.x<t.canonical.x||!(this.canonical.x>t.canonical.x)&&this.canonical.y<t.canonical.y))},nu.prototype.wrapped=function(){return new nu(this.overscaledZ,0,this.canonical.z,this.canonical.x,this.canonical.y)},nu.prototype.unwrapTo=function(t){return new nu(this.overscaledZ,t,this.canonical.z,this.canonical.x,this.canonical.y)},nu.prototype.overscaleFactor=function(){return Math.pow(2,this.overscaledZ-this.canonical.z)},nu.prototype.toUnwrapped=function(){return new ru(this.wrap,this.canonical)},nu.prototype.toString=function(){return this.overscaledZ+\\\"/\\\"+this.canonical.x+\\\"/\\\"+this.canonical.y},nu.prototype.getTilePoint=function(t){return this.canonical.getTilePoint(new tu(t.x-this.wrap,t.y))},Nn(\\\"CanonicalTileID\\\",eu),Nn(\\\"OverscaledTileID\\\",nu,{omit:[\\\"posMatrix\\\"]});var au=function(t,e,r){if(this.uid=t,e.height!==e.width)throw new RangeError(\\\"DEM tiles must be square\\\");if(r&&\\\"mapbox\\\"!==r&&\\\"terrarium\\\"!==r)return _('\\\"'+r+'\\\" is not a valid encoding type. Valid types include \\\"mapbox\\\" and \\\"terrarium\\\".');this.stride=e.height;var n=this.dim=e.height-2;this.data=new Uint32Array(e.data.buffer),this.encoding=r||\\\"mapbox\\\";for(var i=0;i<n;i++)this.data[this._idx(-1,i)]=this.data[this._idx(0,i)],this.data[this._idx(n,i)]=this.data[this._idx(n-1,i)],this.data[this._idx(i,-1)]=this.data[this._idx(i,0)],this.data[this._idx(i,n)]=this.data[this._idx(i,n-1)];this.data[this._idx(-1,-1)]=this.data[this._idx(0,0)],this.data[this._idx(n,-1)]=this.data[this._idx(n-1,0)],this.data[this._idx(-1,n)]=this.data[this._idx(0,n-1)],this.data[this._idx(n,n)]=this.data[this._idx(n-1,n-1)]};au.prototype.get=function(t,e){var r=new Uint8Array(this.data.buffer),n=4*this._idx(t,e);return(\\\"terrarium\\\"===this.encoding?this._unpackTerrarium:this._unpackMapbox)(r[n],r[n+1],r[n+2])},au.prototype.getUnpackVector=function(){return\\\"terrarium\\\"===this.encoding?[256,1,1/256,32768]:[6553.6,25.6,.1,1e4]},au.prototype._idx=function(t,e){if(t<-1||t>=this.dim+1||e<-1||e>=this.dim+1)throw new RangeError(\\\"out of range source coordinates for DEM data\\\");return(e+1)*this.stride+(t+1)},au.prototype._unpackMapbox=function(t,e,r){return(256*t*256+256*e+r)/10-1e4},au.prototype._unpackTerrarium=function(t,e,r){return 256*t+e+r/256-32768},au.prototype.getPixels=function(){return new Eo({width:this.stride,height:this.stride},new Uint8Array(this.data.buffer))},au.prototype.backfillBorder=function(t,e,r){if(this.dim!==t.dim)throw new Error(\\\"dem dimension mismatch\\\");var n=e*this.dim,i=e*this.dim+this.dim,a=r*this.dim,o=r*this.dim+this.dim;switch(e){case-1:n=i-1;break;case 1:i=n+1}switch(r){case-1:a=o-1;break;case 1:o=a+1}for(var s=-e*this.dim,l=-r*this.dim,c=a;c<o;c++)for(var u=n;u<i;u++)this.data[this._idx(u,c)]=t.data[this._idx(u+s,c+l)]},Nn(\\\"DEMData\\\",au);var ou=function(t){this._stringToNumber={},this._numberToString=[];for(var e=0;e<t.length;e++){var r=t[e];this._stringToNumber[r]=e,this._numberToString[e]=r}};ou.prototype.encode=function(t){return this._stringToNumber[t]},ou.prototype.decode=function(t){return this._numberToString[t]};var su=function(t,e,r,n,i){this.type=\\\"Feature\\\",this._vectorTileFeature=t,t._z=e,t._x=r,t._y=n,this.properties=t.properties,this.id=i},lu={geometry:{configurable:!0}};lu.geometry.get=function(){return void 0===this._geometry&&(this._geometry=this._vectorTileFeature.toGeoJSON(this._vectorTileFeature._x,this._vectorTileFeature._y,this._vectorTileFeature._z).geometry),this._geometry},lu.geometry.set=function(t){this._geometry=t},su.prototype.toJSON=function(){var t={geometry:this.geometry};for(var e in this)\\\"_geometry\\\"!==e&&\\\"_vectorTileFeature\\\"!==e&&(t[e]=this[e]);return t},Object.defineProperties(su.prototype,lu);var cu=function(){this.state={},this.stateChanges={},this.deletedStates={}};cu.prototype.updateState=function(t,e,r){var n=String(e);if(this.stateChanges[t]=this.stateChanges[t]||{},this.stateChanges[t][n]=this.stateChanges[t][n]||{},u(this.stateChanges[t][n],r),null===this.deletedStates[t])for(var i in this.deletedStates[t]={},this.state[t])i!==n&&(this.deletedStates[t][i]=null);else if(this.deletedStates[t]&&null===this.deletedStates[t][n])for(var a in this.deletedStates[t][n]={},this.state[t][n])r[a]||(this.deletedStates[t][n][a]=null);else for(var o in r){this.deletedStates[t]&&this.deletedStates[t][n]&&null===this.deletedStates[t][n][o]&&delete this.deletedStates[t][n][o]}},cu.prototype.removeFeatureState=function(t,e,r){if(!(null===this.deletedStates[t])){var n=String(e);if(this.deletedStates[t]=this.deletedStates[t]||{},r&&void 0!==e)null!==this.deletedStates[t][n]&&(this.deletedStates[t][n]=this.deletedStates[t][n]||{},this.deletedStates[t][n][r]=null);else if(void 0!==e){if(this.stateChanges[t]&&this.stateChanges[t][n])for(r in this.deletedStates[t][n]={},this.stateChanges[t][n])this.deletedStates[t][n][r]=null;else this.deletedStates[t][n]=null}else this.deletedStates[t]=null}},cu.prototype.getState=function(t,e){var r=String(e),n=this.state[t]||{},i=this.stateChanges[t]||{},a=u({},n[r],i[r]);if(null===this.deletedStates[t])return{};if(this.deletedStates[t]){var o=this.deletedStates[t][e];if(null===o)return{};for(var s in o)delete a[s]}return a},cu.prototype.initializeTileState=function(t,e){t.setFeatureState(this.state,e)},cu.prototype.coalesceChanges=function(t,e){var r={};for(var n in this.stateChanges){this.state[n]=this.state[n]||{};var i={};for(var a in this.stateChanges[n])this.state[n][a]||(this.state[n][a]={}),u(this.state[n][a],this.stateChanges[n][a]),i[a]=this.state[n][a];r[n]=i}for(var o in this.deletedStates){this.state[o]=this.state[o]||{};var s={};if(null===this.deletedStates[o])for(var l in this.state[o])s[l]={},this.state[o][l]={};else for(var c in this.deletedStates[o]){if(null===this.deletedStates[o][c])this.state[o][c]={};else for(var f=0,h=Object.keys(this.deletedStates[o][c]);f<h.length;f+=1){var p=h[f];delete this.state[o][c][p]}s[c]=this.state[o][c]}r[o]=r[o]||{},u(r[o],s)}if(this.stateChanges={},this.deletedStates={},0!==Object.keys(r).length)for(var d in t){t[d].setFeatureState(r,e)}};var uu=function(t,e){this.tileID=t,this.x=t.canonical.x,this.y=t.canonical.y,this.z=t.canonical.z,this.grid=new zn(8192,16,0),this.grid3D=new zn(8192,16,0),this.featureIndexArray=new fa,this.promoteId=e};function fu(t,e,r,n,i){return v(t,(function(t,a){var o=e instanceof _i?e.get(a):null;return o&&o.evaluate?o.evaluate(r,n,i):o}))}function hu(t){for(var e=1/0,r=1/0,n=-1/0,i=-1/0,a=0,o=t;a<o.length;a+=1){var s=o[a];e=Math.min(e,s.x),r=Math.min(r,s.y),n=Math.max(n,s.x),i=Math.max(i,s.y)}return{minX:e,minY:r,maxX:n,maxY:i}}function pu(t,e){return e-t}uu.prototype.insert=function(t,e,r,n,i,a){var o=this.featureIndexArray.length;this.featureIndexArray.emplaceBack(r,n,i);for(var s=a?this.grid3D:this.grid,l=0;l<e.length;l++){for(var c=e[l],u=[1/0,1/0,-1/0,-1/0],f=0;f<c.length;f++){var h=c[f];u[0]=Math.min(u[0],h.x),u[1]=Math.min(u[1],h.y),u[2]=Math.max(u[2],h.x),u[3]=Math.max(u[3],h.y)}u[0]<8192&&u[1]<8192&&u[2]>=0&&u[3]>=0&&s.insert(o,u[0],u[1],u[2],u[3])}},uu.prototype.loadVTLayers=function(){return this.vtLayers||(this.vtLayers=new Ls.VectorTile(new al(this.rawTileData)).layers,this.sourceLayerCoder=new ou(this.vtLayers?Object.keys(this.vtLayers).sort():[\\\"_geojsonTileLayer\\\"])),this.vtLayers},uu.prototype.query=function(t,e,r,n){var a=this;this.loadVTLayers();for(var o=t.params||{},s=8192/t.tileSize/t.scale,l=sn(o.filter),c=t.queryGeometry,u=t.queryPadding*s,f=hu(c),h=this.grid.query(f.minX-u,f.minY-u,f.maxX+u,f.maxY+u),p=hu(t.cameraQueryGeometry),d=this.grid3D.query(p.minX-u,p.minY-u,p.maxX+u,p.maxY+u,(function(e,r,n,a){return function(t,e,r,n,a){for(var o=0,s=t;o<s.length;o+=1){var l=s[o];if(e<=l.x&&r<=l.y&&n>=l.x&&a>=l.y)return!0}var c=[new i(e,r),new i(e,a),new i(n,a),new i(n,r)];if(t.length>2)for(var u=0,f=c;u<f.length;u+=1){if(io(t,f[u]))return!0}for(var h=0;h<t.length-1;h++){if(ao(t[h],t[h+1],c))return!0}return!1}(t.cameraQueryGeometry,e-u,r-u,n+u,a+u)})),m=0,g=d;m<g.length;m+=1){var v=g[m];h.push(v)}h.sort(pu);for(var y,x={},b=function(i){var u=h[i];if(u!==y){y=u;var f=a.featureIndexArray.get(u),p=null;a.loadMatchingFeature(x,f.bucketIndex,f.sourceLayerIndex,f.featureIndex,l,o.layers,o.availableImages,e,r,n,(function(e,r,n){return p||(p=Ya(e)),r.queryIntersectsFeature(c,e,n,p,a.z,t.transform,s,t.pixelPosMatrix)}))}},_=0;_<h.length;_++)b(_);return x},uu.prototype.loadMatchingFeature=function(t,e,r,n,i,a,o,s,l,c,u){var f=this.bucketLayerIDs[e];if(!a||function(t,e){for(var r=0;r<t.length;r++)if(e.indexOf(t[r])>=0)return!0;return!1}(a,f)){var h=this.sourceLayerCoder.decode(r),p=this.vtLayers[h].feature(n);if(i.filter(new pi(this.tileID.overscaledZ),p))for(var d=this.getId(p,h),m=0;m<f.length;m++){var g=f[m];if(!(a&&a.indexOf(g)<0)){var v=s[g];if(v){var y={};void 0!==d&&c&&(y=c.getState(v.sourceLayer||\\\"_geojsonTileLayer\\\",d));var x=l[g];x.paint=fu(x.paint,v.paint,p,y,o),x.layout=fu(x.layout,v.layout,p,y,o);var b=!u||u(p,v,y);if(b){var _=new su(p,this.z,this.x,this.y,d);_.layer=x;var w=t[g];void 0===w&&(w=t[g]=[]),w.push({featureIndex:n,feature:_,intersectionZ:b})}}}}}},uu.prototype.lookupSymbolFeatures=function(t,e,r,n,i,a,o,s){var l={};this.loadVTLayers();for(var c=sn(i),u=0,f=t;u<f.length;u+=1){var h=f[u];this.loadMatchingFeature(l,r,n,h,c,a,o,s,e)}return l},uu.prototype.hasLayer=function(t){for(var e=0,r=this.bucketLayerIDs;e<r.length;e+=1)for(var n=0,i=r[e];n<i.length;n+=1){if(t===i[n])return!0}return!1},uu.prototype.getId=function(t,e){var r=t.id;if(this.promoteId){var n=\\\"string\\\"==typeof this.promoteId?this.promoteId:this.promoteId[e];\\\"boolean\\\"==typeof(r=t.properties[n])&&(r=Number(r))}return r},Nn(\\\"FeatureIndex\\\",uu,{omit:[\\\"rawTileData\\\",\\\"sourceLayerCoder\\\"]});var du=function(t,e){this.tileID=t,this.uid=h(),this.uses=0,this.tileSize=e,this.buckets={},this.expirationTime=null,this.queryPadding=0,this.hasSymbolBuckets=!1,this.hasRTLText=!1,this.dependencies={},this.expiredRequestCount=0,this.state=\\\"loading\\\"};du.prototype.registerFadeDuration=function(t){var e=t+this.timeAdded;e<R.now()||this.fadeEndTime&&e<this.fadeEndTime||(this.fadeEndTime=e)},du.prototype.wasRequested=function(){return\\\"errored\\\"===this.state||\\\"loaded\\\"===this.state||\\\"reloading\\\"===this.state},du.prototype.loadVectorData=function(t,e,r){if(this.hasData()&&this.unloadVectorData(),this.state=\\\"loaded\\\",t){for(var n in t.featureIndex&&(this.latestFeatureIndex=t.featureIndex,t.rawTileData?(this.latestRawTileData=t.rawTileData,this.latestFeatureIndex.rawTileData=t.rawTileData):this.latestRawTileData&&(this.latestFeatureIndex.rawTileData=this.latestRawTileData)),this.collisionBoxArray=t.collisionBoxArray,this.buckets=function(t,e){var r={};if(!e)return r;for(var n=function(){var t=a[i],n=t.layerIds.map((function(t){return e.getLayer(t)})).filter(Boolean);if(0!==n.length){t.layers=n,t.stateDependentLayerIds&&(t.stateDependentLayers=t.stateDependentLayerIds.map((function(t){return n.filter((function(e){return e.id===t}))[0]})));for(var o=0,s=n;o<s.length;o+=1){var l=s[o];r[l.id]=t}}},i=0,a=t;i<a.length;i+=1)n();return r}(t.buckets,e.style),this.hasSymbolBuckets=!1,this.buckets){var i=this.buckets[n];if(i instanceof Ac){if(this.hasSymbolBuckets=!0,!r)break;i.justReloaded=!0}}if(this.hasRTLText=!1,this.hasSymbolBuckets)for(var a in this.buckets){var o=this.buckets[a];if(o instanceof Ac&&o.hasRTLText){this.hasRTLText=!0,hi.isLoading()||hi.isLoaded()||\\\"deferred\\\"!==ui()||fi();break}}for(var s in this.queryPadding=0,this.buckets){var l=this.buckets[s];this.queryPadding=Math.max(this.queryPadding,e.style.getLayer(s).queryRadius(l))}t.imageAtlas&&(this.imageAtlas=t.imageAtlas),t.glyphAtlasImage&&(this.glyphAtlasImage=t.glyphAtlasImage)}else this.collisionBoxArray=new na},du.prototype.unloadVectorData=function(){for(var t in this.buckets)this.buckets[t].destroy();this.buckets={},this.imageAtlasTexture&&this.imageAtlasTexture.destroy(),this.imageAtlas&&(this.imageAtlas=null),this.glyphAtlasTexture&&this.glyphAtlasTexture.destroy(),this.latestFeatureIndex=null,this.state=\\\"unloaded\\\"},du.prototype.getBucket=function(t){return this.buckets[t.id]},du.prototype.upload=function(t){for(var e in this.buckets){var r=this.buckets[e];r.uploadPending()&&r.upload(t)}var n=t.gl;this.imageAtlas&&!this.imageAtlas.uploaded&&(this.imageAtlasTexture=new Vc(t,this.imageAtlas.image,n.RGBA),this.imageAtlas.uploaded=!0),this.glyphAtlasImage&&(this.glyphAtlasTexture=new Vc(t,this.glyphAtlasImage,n.ALPHA),this.glyphAtlasImage=null)},du.prototype.prepare=function(t){this.imageAtlas&&this.imageAtlas.patchUpdatedImages(t,this.imageAtlasTexture)},du.prototype.queryRenderedFeatures=function(t,e,r,n,i,a,o,s,l,c){return this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData?this.latestFeatureIndex.query({queryGeometry:n,cameraQueryGeometry:i,scale:a,tileSize:this.tileSize,pixelPosMatrix:c,transform:s,params:o,queryPadding:this.queryPadding*l},t,e,r):{}},du.prototype.querySourceFeatures=function(t,e){var r=this.latestFeatureIndex;if(r&&r.rawTileData){var n=r.loadVTLayers(),i=e?e.sourceLayer:\\\"\\\",a=n._geojsonTileLayer||n[i];if(a)for(var o=sn(e&&e.filter),s=this.tileID.canonical,l=s.z,c=s.x,u=s.y,f={z:l,x:c,y:u},h=0;h<a.length;h++){var p=a.feature(h);if(o.filter(new pi(this.tileID.overscaledZ),p)){var d=r.getId(p,i),m=new su(p,l,c,u,d);m.tile=f,t.push(m)}}}},du.prototype.hasData=function(){return\\\"loaded\\\"===this.state||\\\"reloading\\\"===this.state||\\\"expired\\\"===this.state},du.prototype.patternsLoaded=function(){return this.imageAtlas&&!!Object.keys(this.imageAtlas.patternPositions).length},du.prototype.setExpiryData=function(t){var e=this.expirationTime;if(t.cacheControl){var r=M(t.cacheControl);r[\\\"max-age\\\"]&&(this.expirationTime=Date.now()+1e3*r[\\\"max-age\\\"])}else t.expires&&(this.expirationTime=new Date(t.expires).getTime());if(this.expirationTime){var n=Date.now(),i=!1;if(this.expirationTime>n)i=!1;else if(e)if(this.expirationTime<e)i=!0;else{var a=this.expirationTime-e;a?this.expirationTime=n+Math.max(a,3e4):i=!0}else i=!0;i?(this.expiredRequestCount++,this.state=\\\"expired\\\"):this.expiredRequestCount=0}},du.prototype.getExpiryTimeout=function(){if(this.expirationTime)return this.expiredRequestCount?1e3*(1<<Math.min(this.expiredRequestCount-1,31)):Math.min(this.expirationTime-(new Date).getTime(),Math.pow(2,31)-1)},du.prototype.setFeatureState=function(t,e){if(this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData&&0!==Object.keys(t).length){var r=this.latestFeatureIndex.loadVTLayers();for(var n in this.buckets)if(e.style.hasLayer(n)){var i=this.buckets[n],a=i.layers[0].sourceLayer||\\\"_geojsonTileLayer\\\",o=r[a],s=t[a];if(o&&s&&0!==Object.keys(s).length){i.update(s,o,this.imageAtlas&&this.imageAtlas.patternPositions||{});var l=e&&e.style&&e.style.getLayer(n);l&&(this.queryPadding=Math.max(this.queryPadding,l.queryRadius(i)))}}}},du.prototype.holdingForFade=function(){return void 0!==this.symbolFadeHoldUntil},du.prototype.symbolFadeFinished=function(){return!this.symbolFadeHoldUntil||this.symbolFadeHoldUntil<R.now()},du.prototype.clearFadeHold=function(){this.symbolFadeHoldUntil=void 0},du.prototype.setHoldDuration=function(t){this.symbolFadeHoldUntil=R.now()+t},du.prototype.setDependencies=function(t,e){for(var r={},n=0,i=e;n<i.length;n+=1){r[i[n]]=!0}this.dependencies[t]=r},du.prototype.hasDependency=function(t,e){for(var r=0,n=t;r<n.length;r+=1){var i=n[r],a=this.dependencies[i];if(a)for(var o=0,s=e;o<s.length;o+=1){if(a[s[o]])return!0}}return!1};var mu=self.performance,gu=function(t){this._marks={start:[t.url,\\\"start\\\"].join(\\\"#\\\"),end:[t.url,\\\"end\\\"].join(\\\"#\\\"),measure:t.url.toString()},mu.mark(this._marks.start)};gu.prototype.finish=function(){mu.mark(this._marks.end);var t=mu.getEntriesByName(this._marks.measure);return 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l=function(t,e,r,n){this.actor=t,this.layerIndex=e,this.availableImages=r,this.loadVectorData=n||s,this.loading={},this.loaded={}};l.prototype.loadTile=function(e,r){var n=this,i=e.uid;this.loading||(this.loading={});var o=!!(e&&e.request&&e.request.collectResourceTiming)&&new t.RequestPerformance(e.request),s=this.loading[i]=new a(e);s.abort=this.loadVectorData(e,(function(e,a){if(delete n.loading[i],e||!a)return s.status=\\\"done\\\",n.loaded[i]=s,r(e);var l=a.rawData,c={};a.expires&&(c.expires=a.expires),a.cacheControl&&(c.cacheControl=a.cacheControl);var u={};if(o){var f=o.finish();f&&(u.resourceTiming=JSON.parse(JSON.stringify(f)))}s.vectorTile=a.vectorTile,s.parse(a.vectorTile,n.layerIndex,n.availableImages,n.actor,(function(e,n){if(e||!n)return r(e);r(null,t.extend({rawTileData:l.slice(0)},n,c,u))})),n.loaded=n.loaded||{},n.loaded[i]=s}))},l.prototype.reloadTile=function(t,e){var r=this,n=this.loaded,i=t.uid,a=this;if(n&&n[i]){var o=n[i];o.showCollisionBoxes=t.showCollisionBoxes;var s=function(t,n){var i=o.reloadCallback;i&&(delete o.reloadCallback,o.parse(o.vectorTile,a.layerIndex,r.availableImages,a.actor,i)),e(t,n)};\\\"parsing\\\"===o.status?o.reloadCallback=s:\\\"done\\\"===o.status&&(o.vectorTile?o.parse(o.vectorTile,this.layerIndex,this.availableImages,this.actor,s):s())}},l.prototype.abortTile=function(t,e){var r=this.loading,n=t.uid;r&&r[n]&&r[n].abort&&(r[n].abort(),delete r[n]),e()},l.prototype.removeTile=function(t,e){var r=this.loaded,n=t.uid;r&&r[n]&&delete r[n],e()};var c=t.window.ImageBitmap,u=function(){this.loaded={}};u.prototype.loadTile=function(e,r){var n=e.uid,i=e.encoding,a=e.rawImageData,o=c&&a instanceof c?this.getImageData(a):a,s=new t.DEMData(n,o,i);this.loaded=this.loaded||{},this.loaded[n]=s,r(null,s)},u.prototype.getImageData=function(e){this.offscreenCanvas&&this.offscreenCanvasContext||(this.offscreenCanvas=new 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u=e.tags||null;if(\\\"LineString\\\"===a&&n.lineMetrics){for(var f in u={},e.tags)u[f]=e.tags[f];u.mapbox_clip_start=i.start/i.size,u.mapbox_clip_end=i.end/i.size}var h={geometry:o,type:\\\"Polygon\\\"===a||\\\"MultiPolygon\\\"===a?3:\\\"LineString\\\"===a||\\\"MultiLineString\\\"===a?2:1,tags:u};null!==e.id&&(h.id=e.id),t.features.push(h)}}function bt(t,e,r,n,i,a){var o=n*n;if(n>0&&e.size<(i?o:n))r.numPoints+=e.length/3;else{for(var s=[],l=0;l<e.length;l+=3)(0===n||e[l+2]>o)&&(r.numSimplified++,s.push(e[l]),s.push(e[l+1])),r.numPoints++;i&&function(t,e){for(var r=0,n=0,i=t.length,a=i-2;n<i;a=n,n+=2)r+=(t[n]-t[a])*(t[n+1]+t[a+1]);if(r>0===e)for(n=0,i=t.length;n<i/2;n+=2){var o=t[n],s=t[n+1];t[n]=t[i-2-n],t[n+1]=t[i-1-n],t[i-2-n]=o,t[i-1-n]=s}}(s,a),t.push(s)}}function _t(t,e){var r=(e=this.options=function(t,e){for(var r in e)t[r]=e[r];return t}(Object.create(this.options),e)).debug;if(r&&console.time(\\\"preprocess data\\\"),e.maxZoom<0||e.maxZoom>24)throw new Error(\\\"maxZoom should 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generated:\\\",this.total,JSON.stringify(this.stats)))}function wt(t,e,r){return 32*((1<<t)*r+e)+t}function Tt(t,e){var r=t.tileID.canonical;if(!this._geoJSONIndex)return e(null,null);var n=this._geoJSONIndex.getTile(r.z,r.x,r.y);if(!n)return e(null,null);var i=new g(n.features),a=_(i);0===a.byteOffset&&a.byteLength===a.buffer.byteLength||(a=new Uint8Array(a)),e(null,{vectorTile:i,rawData:a.buffer})}U.prototype.load=function(t){var e=this.options,r=e.log,n=e.minZoom,i=e.maxZoom,a=e.nodeSize;r&&console.time(\\\"total time\\\");var o=\\\"prepare \\\"+t.length+\\\" points\\\";r&&console.time(o),this.points=t;for(var s=[],l=0;l<t.length;l++)t[l].geometry&&s.push(q(t[l],l));this.trees[i+1]=new N(s,Z,J,a,Float32Array),r&&console.timeEnd(o);for(var c=i;c>=n;c--){var u=+Date.now();s=this._cluster(s,c),this.trees[c]=new N(s,Z,J,a,Float32Array),r&&console.log(\\\"z%d: %d clusters in %dms\\\",c,s.length,+Date.now()-u)}return r&&console.timeEnd(\\\"total time\\\"),this},U.prototype.getClusters=function(t,e){var r=((t[0]+180)%360+360)%360-180,n=Math.max(-90,Math.min(90,t[1])),i=180===t[2]?180:((t[2]+180)%360+360)%360-180,a=Math.max(-90,Math.min(90,t[3]));if(t[2]-t[0]>=360)r=-180,i=180;else if(r>i){var o=this.getClusters([r,n,180,a],e),s=this.getClusters([-180,n,i,a],e);return o.concat(s)}for(var l=this.trees[this._limitZoom(e)],c=[],u=0,f=l.range(Y(r),W(a),Y(i),W(n));u<f.length;u+=1){var h=f[u],p=l.points[h];c.push(p.numPoints?H(p):this.points[p.index])}return c},U.prototype.getChildren=function(t){var e=this._getOriginId(t),r=this._getOriginZoom(t),n=\\\"No cluster with the specified id.\\\",i=this.trees[r];if(!i)throw new Error(n);var a=i.points[e];if(!a)throw new Error(n);for(var o=this.options.radius/(this.options.extent*Math.pow(2,r-1)),s=[],l=0,c=i.within(a.x,a.y,o);l<c.length;l+=1){var u=c[l],f=i.points[u];f.parentId===t&&s.push(f.numPoints?H(f):this.points[f.index])}if(0===s.length)throw new Error(n);return s},U.prototype.getLeaves=function(t,e,r){e=e||10,r=r||0;var n=[];return this._appendLeaves(n,t,e,r,0),n},U.prototype.getTile=function(t,e,r){var n=this.trees[this._limitZoom(t)],i=Math.pow(2,t),a=this.options,o=a.extent,s=a.radius/o,l=(r-s)/i,c=(r+1+s)/i,u={features:[]};return this._addTileFeatures(n.range((e-s)/i,l,(e+1+s)/i,c),n.points,e,r,i,u),0===e&&this._addTileFeatures(n.range(1-s/i,l,1,c),n.points,i,r,i,u),e===i-1&&this._addTileFeatures(n.range(0,l,s/i,c),n.points,-1,r,i,u),u.features.length?u:null},U.prototype.getClusterExpansionZoom=function(t){for(var e=this._getOriginZoom(t)-1;e<=this.options.maxZoom;){var r=this.getChildren(t);if(e++,1!==r.length)break;t=r[0].properties.cluster_id}return e},U.prototype._appendLeaves=function(t,e,r,n,i){for(var a=0,o=this.getChildren(e);a<o.length;a+=1){var s=o[a],l=s.properties;if(l&&l.cluster?i+l.point_count<=n?i+=l.point_count:i=this._appendLeaves(t,l.cluster_id,r,n,i):i<n?i++:t.push(s),t.length===r)break}return i},U.prototype._addTileFeatures=function(t,e,r,n,i,a){for(var o=0,s=t;o<s.length;o+=1){var l=e[s[o]],c=l.numPoints,u={type:1,geometry:[[Math.round(this.options.extent*(l.x*i-r)),Math.round(this.options.extent*(l.y*i-n))]],tags:c?G(l):this.points[l.index].properties},f=void 0;c?f=l.id:this.options.generateId?f=l.index:this.points[l.index].id&&(f=this.points[l.index].id),void 0!==f&&(u.id=f),a.features.push(u)}},U.prototype._limitZoom=function(t){return Math.max(this.options.minZoom,Math.min(t,this.options.maxZoom+1))},U.prototype._cluster=function(t,e){for(var r=[],n=this.options,i=n.radius,a=n.extent,o=n.reduce,s=i/(a*Math.pow(2,e)),l=0;l<t.length;l++){var c=t[l];if(!(c.zoom<=e)){c.zoom=e;for(var u=this.trees[e+1],f=u.within(c.x,c.y,s),h=c.numPoints||1,p=c.x*h,d=c.y*h,m=o&&h>1?this._map(c,!0):null,g=(l<<5)+(e+1)+this.points.length,v=0,y=f;v<y.length;v+=1){var x=y[v],b=u.points[x];if(!(b.zoom<=e)){b.zoom=e;var _=b.numPoints||1;p+=b.x*_,d+=b.y*_,h+=_,b.parentId=g,o&&(m||(m=this._map(c,!0)),o(m,this._map(b)))}}1===h?r.push(c):(c.parentId=g,r.push(V(p/h,d/h,g,h,m)))}}return r},U.prototype._getOriginId=function(t){return t-this.points.length>>5},U.prototype._getOriginZoom=function(t){return(t-this.points.length)%32},U.prototype._map=function(t,e){if(t.numPoints)return e?X({},t.properties):t.properties;var r=this.points[t.index].properties,n=this.options.map(r);return e&&n===r?X({},n):n},_t.prototype.options={maxZoom:14,indexMaxZoom:5,indexMaxPoints:1e5,tolerance:3,extent:4096,buffer:64,lineMetrics:!1,promoteId:null,generateId:!1,debug:0},_t.prototype.splitTile=function(t,e,r,n,i,a,o){for(var s=[t,e,r,n],l=this.options,c=l.debug;s.length;){n=s.pop(),r=s.pop(),e=s.pop(),t=s.pop();var u=1<<e,f=wt(e,r,n),h=this.tiles[f];if(!h&&(c>1&&console.time(\\\"creation\\\"),h=this.tiles[f]=yt(t,e,r,n,l),this.tileCoords.push({z:e,x:r,y:n}),c)){c>1&&(console.log(\\\"tile z%d-%d-%d (features: %d, points: %d, simplified: %d)\\\",e,r,n,h.numFeatures,h.numPoints,h.numSimplified),console.timeEnd(\\\"creation\\\"));var p=\\\"z\\\"+e;this.stats[p]=(this.stats[p]||0)+1,this.total++}if(h.source=t,i){if(e===l.maxZoom||e===i)continue;var d=1<<i-e;if(r!==Math.floor(a/d)||n!==Math.floor(o/d))continue}else if(e===l.indexMaxZoom||h.numPoints<=l.indexMaxPoints)continue;if(h.source=null,0!==t.length){c>1&&console.time(\\\"clipping\\\");var m,g,v,y,x,b,_=.5*l.buffer/l.extent,w=.5-_,T=.5+_,k=1+_;m=g=v=y=null,x=ot(t,u,r-_,r+T,0,h.minX,h.maxX,l),b=ot(t,u,r+w,r+k,0,h.minX,h.maxX,l),t=null,x&&(m=ot(x,u,n-_,n+T,1,h.minY,h.maxY,l),g=ot(x,u,n+w,n+k,1,h.minY,h.maxY,l),x=null),b&&(v=ot(b,u,n-_,n+T,1,h.minY,h.maxY,l),y=ot(b,u,n+w,n+k,1,h.minY,h.maxY,l),b=null),c>1&&console.timeEnd(\\\"clipping\\\"),s.push(m||[],e+1,2*r,2*n),s.push(g||[],e+1,2*r,2*n+1),s.push(v||[],e+1,2*r+1,2*n),s.push(y||[],e+1,2*r+1,2*n+1)}}},_t.prototype.getTile=function(t,e,r){var n=this.options,i=n.extent,a=n.debug;if(t<0||t>24)return null;var o=1<<t,s=wt(t,e=(e%o+o)%o,r);if(this.tiles[s])return gt(this.tiles[s],i);a>1&&console.log(\\\"drilling down to z%d-%d-%d\\\",t,e,r);for(var l,c=t,u=e,f=r;!l&&c>0;)c--,u=Math.floor(u/2),f=Math.floor(f/2),l=this.tiles[wt(c,u,f)];return l&&l.source?(a>1&&console.log(\\\"found parent tile z%d-%d-%d\\\",c,u,f),a>1&&console.time(\\\"drilling down\\\"),this.splitTile(l.source,c,u,f,t,e,r),a>1&&console.timeEnd(\\\"drilling down\\\"),this.tiles[s]?gt(this.tiles[s],i):null):null};var kt=function(e){function r(t,r,n,i){e.call(this,t,r,n,Tt),i&&(this.loadGeoJSON=i)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.loadData=function(t,e){this._pendingCallback&&this._pendingCallback(null,{abandoned:!0}),this._pendingCallback=e,this._pendingLoadDataParams=t,this._state&&\\\"Idle\\\"!==this._state?this._state=\\\"NeedsLoadData\\\":(this._state=\\\"Coalescing\\\",this._loadData())},r.prototype._loadData=function(){var e=this;if(this._pendingCallback&&this._pendingLoadDataParams){var r=this._pendingCallback,n=this._pendingLoadDataParams;delete this._pendingCallback,delete this._pendingLoadDataParams;var i=!!(n&&n.request&&n.request.collectResourceTiming)&&new t.RequestPerformance(n.request);this.loadGeoJSON(n,(function(a,o){if(a||!o)return r(a);if(\\\"object\\\"!=typeof o)return r(new Error(\\\"Input data given to '\\\"+n.source+\\\"' is not a valid GeoJSON object.\\\"));f(o,!0);try{e._geoJSONIndex=n.cluster?new U(function(e){var r=e.superclusterOptions,n=e.clusterProperties;if(!n||!r)return r;for(var i={},a={},o={accumulated:null,zoom:0},s={properties:null},l=Object.keys(n),c=0,u=l;c<u.length;c+=1){var f=u[c],h=n[f],p=h[0],d=h[1],m=t.createExpression(d),g=t.createExpression(\\\"string\\\"==typeof p?[p,[\\\"accumulated\\\"],[\\\"get\\\",f]]:p);i[f]=m.value,a[f]=g.value}return r.map=function(t){s.properties=t;for(var e={},r=0,n=l;r<n.length;r+=1){var a=n[r];e[a]=i[a].evaluate(o,s)}return e},r.reduce=function(t,e){s.properties=e;for(var r=0,n=l;r<n.length;r+=1){var i=n[r];o.accumulated=t[i],t[i]=a[i].evaluate(o,s)}},r}(n)).load(o.features):function(t,e){return new _t(t,e)}(o,n.geojsonVtOptions)}catch(a){return r(a)}e.loaded={};var s={};if(i){var l=i.finish();l&&(s.resourceTiming={},s.resourceTiming[n.source]=JSON.parse(JSON.stringify(l)))}r(null,s)}))}},r.prototype.coalesce=function(){\\\"Coalescing\\\"===this._state?this._state=\\\"Idle\\\":\\\"NeedsLoadData\\\"===this._state&&(this._state=\\\"Coalescing\\\",this._loadData())},r.prototype.reloadTile=function(t,r){var n=this.loaded,i=t.uid;return n&&n[i]?e.prototype.reloadTile.call(this,t,r):this.loadTile(t,r)},r.prototype.loadGeoJSON=function(e,r){if(e.request)t.getJSON(e.request,r);else{if(\\\"string\\\"!=typeof e.data)return r(new Error(\\\"Input data given to '\\\"+e.source+\\\"' is not a valid GeoJSON object.\\\"));try{return r(null,JSON.parse(e.data))}catch(t){return r(new Error(\\\"Input data given to '\\\"+e.source+\\\"' is not a valid GeoJSON object.\\\"))}}},r.prototype.removeSource=function(t,e){this._pendingCallback&&this._pendingCallback(null,{abandoned:!0}),e()},r.prototype.getClusterExpansionZoom=function(t,e){try{e(null,this._geoJSONIndex.getClusterExpansionZoom(t.clusterId))}catch(t){e(t)}},r.prototype.getClusterChildren=function(t,e){try{e(null,this._geoJSONIndex.getChildren(t.clusterId))}catch(t){e(t)}},r.prototype.getClusterLeaves=function(t,e){try{e(null,this._geoJSONIndex.getLeaves(t.clusterId,t.limit,t.offset))}catch(t){e(t)}},r}(l);var Mt=function(e){var r=this;this.self=e,this.actor=new t.Actor(e,this),this.layerIndexes={},this.availableImages={},this.workerSourceTypes={vector:l,geojson:kt},this.workerSources={},this.demWorkerSources={},this.self.registerWorkerSource=function(t,e){if(r.workerSourceTypes[t])throw new Error('Worker source with name \\\"'+t+'\\\" already 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Uint8Array(e.data.buffer)),!0;return!1}r.suppressClick=function(){t.window.addEventListener(\\\"click\\\",u,!0),t.window.setTimeout((function(){t.window.removeEventListener(\\\"click\\\",u,!0)}),0)},r.mousePos=function(e,r){var n=e.getBoundingClientRect();return new t.Point(r.clientX-n.left-e.clientLeft,r.clientY-n.top-e.clientTop)},r.touchPos=function(e,r){for(var n=e.getBoundingClientRect(),i=[],a=0;a<r.length;a++)i.push(new t.Point(r[a].clientX-n.left-e.clientLeft,r[a].clientY-n.top-e.clientTop));return i},r.mouseButton=function(e){return void 0!==t.window.InstallTrigger&&2===e.button&&e.ctrlKey&&t.window.navigator.platform.toUpperCase().indexOf(\\\"MAC\\\")>=0?0:e.button},r.remove=function(t){t.parentNode&&t.parentNode.removeChild(t)};var h=function(e){function r(){e.call(this),this.images={},this.updatedImages={},this.callbackDispatchedThisFrame={},this.loaded=!1,this.requestors=[],this.patterns={},this.atlasImage=new t.RGBAImage({width:1,height:1}),this.dirty=!0}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.isLoaded=function(){return this.loaded},r.prototype.setLoaded=function(t){if(this.loaded!==t&&(this.loaded=t,t)){for(var e=0,r=this.requestors;e<r.length;e+=1){var n=r[e],i=n.ids,a=n.callback;this._notify(i,a)}this.requestors=[]}},r.prototype.getImage=function(t){return this.images[t]},r.prototype.addImage=function(t,e){this._validate(t,e)&&(this.images[t]=e)},r.prototype._validate=function(e,r){var n=!0;return this._validateStretch(r.stretchX,r.data&&r.data.width)||(this.fire(new t.ErrorEvent(new Error('Image \\\"'+e+'\\\" has invalid \\\"stretchX\\\" value'))),n=!1),this._validateStretch(r.stretchY,r.data&&r.data.height)||(this.fire(new t.ErrorEvent(new Error('Image \\\"'+e+'\\\" has invalid \\\"stretchY\\\" value'))),n=!1),this._validateContent(r.content,r)||(this.fire(new t.ErrorEvent(new Error('Image \\\"'+e+'\\\" has invalid \\\"content\\\" 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a=i[n];this.images[a]||(r=!1)}this.isLoaded()||r?this._notify(t,e):this.requestors.push({ids:t,callback:e})},r.prototype._notify=function(e,r){for(var n={},i=0,a=e;i<a.length;i+=1){var o=a[i];this.images[o]||this.fire(new t.Event(\\\"styleimagemissing\\\",{id:o}));var s=this.images[o];s?n[o]={data:s.data.clone(),pixelRatio:s.pixelRatio,sdf:s.sdf,version:s.version,stretchX:s.stretchX,stretchY:s.stretchY,content:s.content,hasRenderCallback:Boolean(s.userImage&&s.userImage.render)}:t.warnOnce('Image \\\"'+o+'\\\" could not be loaded. Please make sure you have added the image with map.addImage() or a \\\"sprite\\\" property in your style. You can provide missing images by listening for the \\\"styleimagemissing\\\" map event.')}r(null,n)},r.prototype.getPixelSize=function(){var t=this.atlasImage;return{width:t.width,height:t.height}},r.prototype.getPattern=function(e){var r=this.patterns[e],n=this.getImage(e);if(!n)return null;if(r&&r.position.version===n.version)return r.position;if(r)r.position.version=n.version;else{var i={w:n.data.width+2,h:n.data.height+2,x:0,y:0},a=new t.ImagePosition(i,n);this.patterns[e]={bin:i,position:a}}return this._updatePatternAtlas(),this.patterns[e].position},r.prototype.bind=function(e){var r=e.gl;this.atlasTexture?this.dirty&&(this.atlasTexture.update(this.atlasImage),this.dirty=!1):this.atlasTexture=new t.Texture(e,this.atlasImage,r.RGBA),this.atlasTexture.bind(r.LINEAR,r.CLAMP_TO_EDGE)},r.prototype._updatePatternAtlas=function(){var e=[];for(var r in this.patterns)e.push(this.patterns[r].bin);var n=t.potpack(e),i=n.w,a=n.h,o=this.atlasImage;for(var s in o.resize({width:i||1,height:a||1}),this.patterns){var l=this.patterns[s].bin,c=l.x+1,u=l.y+1,f=this.images[s].data,h=f.width,p=f.height;t.RGBAImage.copy(f,o,{x:0,y:0},{x:c,y:u},{width:h,height:p}),t.RGBAImage.copy(f,o,{x:0,y:p-1},{x:c,y:u-1},{width:h,height:1}),t.RGBAImage.copy(f,o,{x:0,y:0},{x:c,y:u+p},{width:h,height:1}),t.RGBAImage.copy(f,o,{x:h-1,y:0},{x:c-1,y:u},{width:1,height:p}),t.RGBAImage.copy(f,o,{x:0,y:0},{x:c+h,y:u},{width:1,height:p})}this.dirty=!0},r.prototype.beginFrame=function(){this.callbackDispatchedThisFrame={}},r.prototype.dispatchRenderCallbacks=function(t){for(var e=0,r=t;e<r.length;e+=1){var n=r[e];if(!this.callbackDispatchedThisFrame[n]){this.callbackDispatchedThisFrame[n]=!0;var i=this.images[n];f(i)&&this.updateImage(n,i)}}},r}(t.Evented);var p=g,d=g,m=1e20;function g(t,e,r,n,i,a){this.fontSize=t||24,this.buffer=void 0===e?3:e,this.cutoff=n||.25,this.fontFamily=i||\\\"sans-serif\\\",this.fontWeight=a||\\\"normal\\\",this.radius=r||8;var o=this.size=this.fontSize+2*this.buffer;this.canvas=document.createElement(\\\"canvas\\\"),this.canvas.width=this.canvas.height=o,this.ctx=this.canvas.getContext(\\\"2d\\\"),this.ctx.font=this.fontWeight+\\\" \\\"+this.fontSize+\\\"px \\\"+this.fontFamily,this.ctx.textBaseline=\\\"middle\\\",this.ctx.fillStyle=\\\"black\\\",this.gridOuter=new Float64Array(o*o),this.gridInner=new Float64Array(o*o),this.f=new Float64Array(o),this.d=new Float64Array(o),this.z=new Float64Array(o+1),this.v=new Int16Array(o),this.middle=Math.round(o/2*(navigator.userAgent.indexOf(\\\"Gecko/\\\")>=0?1.2:1))}function v(t,e,r,n,i,a,o){for(var s=0;s<e;s++){for(var l=0;l<r;l++)n[l]=t[l*e+s];for(y(n,i,a,o,r),l=0;l<r;l++)t[l*e+s]=i[l]}for(l=0;l<r;l++){for(s=0;s<e;s++)n[s]=t[l*e+s];for(y(n,i,a,o,e),s=0;s<e;s++)t[l*e+s]=Math.sqrt(i[s])}}function y(t,e,r,n,i){r[0]=0,n[0]=-m,n[1]=+m;for(var a=1,o=0;a<i;a++){for(var s=(t[a]+a*a-(t[r[o]]+r[o]*r[o]))/(2*a-2*r[o]);s<=n[o];)o--,s=(t[a]+a*a-(t[r[o]]+r[o]*r[o]))/(2*a-2*r[o]);r[++o]=a,n[o]=s,n[o+1]=+m}for(a=0,o=0;a<i;a++){for(;n[o+1]<a;)o++;e[a]=(a-r[o])*(a-r[o])+t[r[o]]}}g.prototype.draw=function(t){this.ctx.clearRect(0,0,this.size,this.size),this.ctx.fillText(t,this.buffer,this.middle);for(var e=this.ctx.getImageData(0,0,this.size,this.size),r=new Uint8ClampedArray(this.size*this.size),n=0;n<this.size*this.size;n++){var i=e.data[4*n+3]/255;this.gridOuter[n]=1===i?0:0===i?m:Math.pow(Math.max(0,.5-i),2),this.gridInner[n]=1===i?m:0===i?0:Math.pow(Math.max(0,i-.5),2)}for(v(this.gridOuter,this.size,this.size,this.f,this.d,this.v,this.z),v(this.gridInner,this.size,this.size,this.f,this.d,this.v,this.z),n=0;n<this.size*this.size;n++){var a=this.gridOuter[n]-this.gridInner[n];r[n]=Math.max(0,Math.min(255,Math.round(255-255*(a/this.radius+this.cutoff))))}return r},p.default=d;var x=function(t,e){this.requestManager=t,this.localIdeographFontFamily=e,this.entries={}};x.prototype.setURL=function(t){this.url=t},x.prototype.getGlyphs=function(e,r){var n=this,i=[];for(var a in e)for(var o=0,s=e[a];o<s.length;o+=1){var l=s[o];i.push({stack:a,id:l})}t.asyncAll(i,(function(t,e){var r=t.stack,i=t.id,a=n.entries[r];a||(a=n.entries[r]={glyphs:{},requests:{},ranges:{}});var o=a.glyphs[i];if(void 0===o){if(o=n._tinySDF(a,r,i))return a.glyphs[i]=o,void e(null,{stack:r,id:i,glyph:o});var s=Math.floor(i/256);if(256*s>65535)e(new Error(\\\"glyphs > 65535 not supported\\\"));else if(a.ranges[s])e(null,{stack:r,id:i,glyph:o});else{var l=a.requests[s];l||(l=a.requests[s]=[],x.loadGlyphRange(r,s,n.url,n.requestManager,(function(t,e){if(e){for(var r in e)n._doesCharSupportLocalGlyph(+r)||(a.glyphs[+r]=e[+r]);a.ranges[s]=!0}for(var i=0,o=l;i<o.length;i+=1){(0,o[i])(t,e)}delete a.requests[s]}))),l.push((function(t,n){t?e(t):n&&e(null,{stack:r,id:i,glyph:n[i]||null})}))}}else e(null,{stack:r,id:i,glyph:o})}),(function(t,e){if(t)r(t);else if(e){for(var n={},i=0,a=e;i<a.length;i+=1){var o=a[i],s=o.stack,l=o.id,c=o.glyph;(n[s]||(n[s]={}))[l]=c&&{id:c.id,bitmap:c.bitmap.clone(),metrics:c.metrics}}r(null,n)}}))},x.prototype._doesCharSupportLocalGlyph=function(e){return!!this.localIdeographFontFamily&&(t.isChar[\\\"CJK Unified Ideographs\\\"](e)||t.isChar[\\\"Hangul Syllables\\\"](e)||t.isChar.Hiragana(e)||t.isChar.Katakana(e))},x.prototype._tinySDF=function(e,r,n){var i=this.localIdeographFontFamily;if(i&&this._doesCharSupportLocalGlyph(n)){var a=e.tinySDF;if(!a){var o=\\\"400\\\";/bold/i.test(r)?o=\\\"900\\\":/medium/i.test(r)?o=\\\"500\\\":/light/i.test(r)&&(o=\\\"200\\\"),a=e.tinySDF=new x.TinySDF(24,3,8,.25,i,o)}return{id:n,bitmap:new t.AlphaImage({width:30,height:30},a.draw(String.fromCharCode(n))),metrics:{width:24,height:24,left:0,top:-8,advance:24}}}},x.loadGlyphRange=function(e,r,n,i,a){var o=256*r,s=o+255,l=i.transformRequest(i.normalizeGlyphsURL(n).replace(\\\"{fontstack}\\\",e).replace(\\\"{range}\\\",o+\\\"-\\\"+s),t.ResourceType.Glyphs);t.getArrayBuffer(l,(function(e,r){if(e)a(e);else if(r){for(var n={},i=0,o=t.parseGlyphPBF(r);i<o.length;i+=1){var s=o[i];n[s.id]=s}a(null,n)}}))},x.TinySDF=p;var b=function(){this.specification=t.styleSpec.light.position};b.prototype.possiblyEvaluate=function(e,r){return t.sphericalToCartesian(e.expression.evaluate(r))},b.prototype.interpolate=function(e,r,n){return{x:t.number(e.x,r.x,n),y:t.number(e.y,r.y,n),z:t.number(e.z,r.z,n)}};var _=new t.Properties({anchor:new t.DataConstantProperty(t.styleSpec.light.anchor),position:new b,color:new t.DataConstantProperty(t.styleSpec.light.color),intensity:new t.DataConstantProperty(t.styleSpec.light.intensity)}),w=function(e){function r(r){e.call(this),this._transitionable=new t.Transitionable(_),this.setLight(r),this._transitioning=this._transitionable.untransitioned()}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getLight=function(){return this._transitionable.serialize()},r.prototype.setLight=function(e,r){if(void 0===r&&(r={}),!this._validate(t.validateLight,e,r))for(var n in e){var i=e[n];t.endsWith(n,\\\"-transition\\\")?this._transitionable.setTransition(n.slice(0,-\\\"-transition\\\".length),i):this._transitionable.setValue(n,i)}},r.prototype.updateTransitions=function(t){this._transitioning=this._transitionable.transitioned(t,this._transitioning)},r.prototype.hasTransition=function(){return this._transitioning.hasTransition()},r.prototype.recalculate=function(t){this.properties=this._transitioning.possiblyEvaluate(t)},r.prototype._validate=function(e,r,n){return(!n||!1!==n.validate)&&t.emitValidationErrors(this,e.call(t.validateStyle,t.extend({value:r,style:{glyphs:!0,sprite:!0},styleSpec:t.styleSpec})))},r}(t.Evented),T=function(t,e){this.width=t,this.height=e,this.nextRow=0,this.data=new Uint8Array(this.width*this.height),this.dashEntry={}};T.prototype.getDash=function(t,e){var r=t.join(\\\",\\\")+String(e);return this.dashEntry[r]||(this.dashEntry[r]=this.addDash(t,e)),this.dashEntry[r]},T.prototype.getDashRanges=function(t,e,r){var n=[],i=t.length%2==1?-t[t.length-1]*r:0,a=t[0]*r,o=!0;n.push({left:i,right:a,isDash:o,zeroLength:0===t[0]});for(var s=t[0],l=1;l<t.length;l++){o=!o;var c=t[l];i=s*r,a=(s+=c)*r,n.push({left:i,right:a,isDash:o,zeroLength:0===c})}return n},T.prototype.addRoundDash=function(t,e,r){for(var n=e/2,i=-r;i<=r;i++)for(var a=this.nextRow+r+i,o=this.width*a,s=0,l=t[s],c=0;c<this.width;c++){c/l.right>1&&(l=t[++s]);var u=Math.abs(c-l.left),f=Math.abs(c-l.right),h=Math.min(u,f),p=void 0,d=i/r*(n+1);if(l.isDash){var m=n-Math.abs(d);p=Math.sqrt(h*h+m*m)}else p=n-Math.sqrt(h*h+d*d);this.data[o+c]=Math.max(0,Math.min(255,p+128))}},T.prototype.addRegularDash=function(t){for(var e=t.length-1;e>=0;--e){var r=t[e],n=t[e+1];r.zeroLength?t.splice(e,1):n&&n.isDash===r.isDash&&(n.left=r.left,t.splice(e,1))}var i=t[0],a=t[t.length-1];i.isDash===a.isDash&&(i.left=a.left-this.width,a.right=i.right+this.width);for(var o=this.width*this.nextRow,s=0,l=t[s],c=0;c<this.width;c++){c/l.right>1&&(l=t[++s]);var u=Math.abs(c-l.left),f=Math.abs(c-l.right),h=Math.min(u,f),p=l.isDash?h:-h;this.data[o+c]=Math.max(0,Math.min(255,p+128))}},T.prototype.addDash=function(e,r){var n=r?7:0,i=2*n+1;if(this.nextRow+i>this.height)return t.warnOnce(\\\"LineAtlas out of space\\\"),null;for(var a=0,o=0;o<e.length;o++)a+=e[o];if(0!==a){var s=this.width/a,l=this.getDashRanges(e,this.width,s);r?this.addRoundDash(l,s,n):this.addRegularDash(l)}var c={y:(this.nextRow+n+.5)/this.height,height:2*n/this.height,width:a};return this.nextRow+=i,this.dirty=!0,c},T.prototype.bind=function(t){var e=t.gl;this.texture?(e.bindTexture(e.TEXTURE_2D,this.texture),this.dirty&&(this.dirty=!1,e.texSubImage2D(e.TEXTURE_2D,0,0,0,this.width,this.height,e.ALPHA,e.UNSIGNED_BYTE,this.data))):(this.texture=e.createTexture(),e.bindTexture(e.TEXTURE_2D,this.texture),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_S,e.REPEAT),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_T,e.REPEAT),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,e.LINEAR),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,e.LINEAR),e.texImage2D(e.TEXTURE_2D,0,e.ALPHA,this.width,this.height,0,e.ALPHA,e.UNSIGNED_BYTE,this.data))};var k=function e(r,n){this.workerPool=r,this.actors=[],this.currentActor=0,this.id=t.uniqueId();for(var i=this.workerPool.acquire(this.id),a=0;a<i.length;a++){var o=i[a],s=new e.Actor(o,n,this.id);s.name=\\\"Worker \\\"+a,this.actors.push(s)}};function M(e,r,n){var i=function(i,a){if(i)return n(i);if(a){var o=t.pick(t.extend(a,e),[\\\"tiles\\\",\\\"minzoom\\\",\\\"maxzoom\\\",\\\"attribution\\\",\\\"mapbox_logo\\\",\\\"bounds\\\",\\\"scheme\\\",\\\"tileSize\\\",\\\"encoding\\\"]);a.vector_layers&&(o.vectorLayers=a.vector_layers,o.vectorLayerIds=o.vectorLayers.map((function(t){return t.id}))),o.tiles=r.canonicalizeTileset(o,e.url),n(null,o)}};return e.url?t.getJSON(r.transformRequest(r.normalizeSourceURL(e.url),t.ResourceType.Source),i):t.browser.frame((function(){return i(null,e)}))}k.prototype.broadcast=function(e,r,n){n=n||function(){},t.asyncAll(this.actors,(function(t,n){t.send(e,r,n)}),n)},k.prototype.getActor=function(){return this.currentActor=(this.currentActor+1)%this.actors.length,this.actors[this.currentActor]},k.prototype.remove=function(){this.actors.forEach((function(t){t.remove()})),this.actors=[],this.workerPool.release(this.id)},k.Actor=t.Actor;var A=function(e,r,n){this.bounds=t.LngLatBounds.convert(this.validateBounds(e)),this.minzoom=r||0,this.maxzoom=n||24};A.prototype.validateBounds=function(t){return Array.isArray(t)&&4===t.length?[Math.max(-180,t[0]),Math.max(-90,t[1]),Math.min(180,t[2]),Math.min(90,t[3])]:[-180,-90,180,90]},A.prototype.contains=function(e){var r=Math.pow(2,e.z),n=Math.floor(t.mercatorXfromLng(this.bounds.getWest())*r),i=Math.floor(t.mercatorYfromLat(this.bounds.getNorth())*r),a=Math.ceil(t.mercatorXfromLng(this.bounds.getEast())*r),o=Math.ceil(t.mercatorYfromLat(this.bounds.getSouth())*r);return e.x>=n&&e.x<a&&e.y>=i&&e.y<o};var S=function(e){function r(r,n,i,a){if(e.call(this),this.id=r,this.dispatcher=i,this.type=\\\"vector\\\",this.minzoom=0,this.maxzoom=22,this.scheme=\\\"xyz\\\",this.tileSize=512,this.reparseOverscaled=!0,this.isTileClipped=!0,this._loaded=!1,t.extend(this,t.pick(n,[\\\"url\\\",\\\"scheme\\\",\\\"tileSize\\\",\\\"promoteId\\\"])),this._options=t.extend({type:\\\"vector\\\"},n),this._collectResourceTiming=n.collectResourceTiming,512!==this.tileSize)throw new Error(\\\"vector tile sources must have a tileSize of 512\\\");this.setEventedParent(a)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1,this.fire(new t.Event(\\\"dataloading\\\",{dataType:\\\"source\\\"})),this._tileJSONRequest=M(this._options,this.map._requestManager,(function(r,n){e._tileJSONRequest=null,e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(t.extend(e,n),n.bounds&&(e.tileBounds=new A(n.bounds,e.minzoom,e.maxzoom)),t.postTurnstileEvent(n.tiles,e.map._requestManager._customAccessToken),t.postMapLoadEvent(n.tiles,e.map._getMapId(),e.map._requestManager._skuToken,e.map._requestManager._customAccessToken),e.fire(new t.Event(\\\"data\\\",{dataType:\\\"source\\\",sourceDataType:\\\"metadata\\\"})),e.fire(new t.Event(\\\"data\\\",{dataType:\\\"source\\\",sourceDataType:\\\"content\\\"})))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.hasTile=function(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},r.prototype.serialize=function(){return t.extend({},this._options)},r.prototype.loadTile=function(e,r){var n=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme)),i={request:this.map._requestManager.transformRequest(n,t.ResourceType.Tile),uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,tileSize:this.tileSize*e.tileID.overscaleFactor(),type:this.type,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};function a(n,i){return delete e.request,e.aborted?r(null):n&&404!==n.status?r(n):(i&&i.resourceTiming&&(e.resourceTiming=i.resourceTiming),this.map._refreshExpiredTiles&&i&&e.setExpiryData(i),e.loadVectorData(i,this.map.painter),t.cacheEntryPossiblyAdded(this.dispatcher),r(null),void(e.reloadCallback&&(this.loadTile(e,e.reloadCallback),e.reloadCallback=null)))}i.request.collectResourceTiming=this._collectResourceTiming,e.actor&&\\\"expired\\\"!==e.state?\\\"loading\\\"===e.state?e.reloadCallback=r:e.request=e.actor.send(\\\"reloadTile\\\",i,a.bind(this)):(e.actor=this.dispatcher.getActor(),e.request=e.actor.send(\\\"loadTile\\\",i,a.bind(this)))},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.actor&&t.actor.send(\\\"abortTile\\\",{uid:t.uid,type:this.type,source:this.id},void 0)},r.prototype.unloadTile=function(t){t.unloadVectorData(),t.actor&&t.actor.send(\\\"removeTile\\\",{uid:t.uid,type:this.type,source:this.id},void 0)},r.prototype.hasTransition=function(){return!1},r}(t.Evented),E=function(e){function r(r,n,i,a){e.call(this),this.id=r,this.dispatcher=i,this.setEventedParent(a),this.type=\\\"raster\\\",this.minzoom=0,this.maxzoom=22,this.roundZoom=!0,this.scheme=\\\"xyz\\\",this.tileSize=512,this._loaded=!1,this._options=t.extend({type:\\\"raster\\\"},n),t.extend(this,t.pick(n,[\\\"url\\\",\\\"scheme\\\",\\\"tileSize\\\"]))}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1,this.fire(new t.Event(\\\"dataloading\\\",{dataType:\\\"source\\\"})),this._tileJSONRequest=M(this._options,this.map._requestManager,(function(r,n){e._tileJSONRequest=null,e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(t.extend(e,n),n.bounds&&(e.tileBounds=new A(n.bounds,e.minzoom,e.maxzoom)),t.postTurnstileEvent(n.tiles),t.postMapLoadEvent(n.tiles,e.map._getMapId(),e.map._requestManager._skuToken),e.fire(new t.Event(\\\"data\\\",{dataType:\\\"source\\\",sourceDataType:\\\"metadata\\\"})),e.fire(new t.Event(\\\"data\\\",{dataType:\\\"source\\\",sourceDataType:\\\"content\\\"})))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},r.prototype.serialize=function(){return t.extend({},this._options)},r.prototype.hasTile=function(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)},r.prototype.loadTile=function(e,r){var n=this,i=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme),this.tileSize);e.request=t.getImage(this.map._requestManager.transformRequest(i,t.ResourceType.Tile),(function(i,a){if(delete e.request,e.aborted)e.state=\\\"unloaded\\\",r(null);else if(i)e.state=\\\"errored\\\",r(i);else if(a){n.map._refreshExpiredTiles&&e.setExpiryData(a),delete a.cacheControl,delete a.expires;var o=n.map.painter.context,s=o.gl;e.texture=n.map.painter.getTileTexture(a.width),e.texture?e.texture.update(a,{useMipmap:!0}):(e.texture=new t.Texture(o,a,s.RGBA,{useMipmap:!0}),e.texture.bind(s.LINEAR,s.CLAMP_TO_EDGE,s.LINEAR_MIPMAP_NEAREST),o.extTextureFilterAnisotropic&&s.texParameterf(s.TEXTURE_2D,o.extTextureFilterAnisotropic.TEXTURE_MAX_ANISOTROPY_EXT,o.extTextureFilterAnisotropicMax)),e.state=\\\"loaded\\\",t.cacheEntryPossiblyAdded(n.dispatcher),r(null)}}))},r.prototype.abortTile=function(t,e){t.request&&(t.request.cancel(),delete t.request),e()},r.prototype.unloadTile=function(t,e){t.texture&&this.map.painter.saveTileTexture(t.texture),e()},r.prototype.hasTransition=function(){return!1},r}(t.Evented),L=function(e){function r(r,n,i,a){e.call(this,r,n,i,a),this.type=\\\"raster-dem\\\",this.maxzoom=22,this._options=t.extend({type:\\\"raster-dem\\\"},n),this.encoding=n.encoding||\\\"mapbox\\\"}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.serialize=function(){return{type:\\\"raster-dem\\\",url:this.url,tileSize:this.tileSize,tiles:this.tiles,bounds:this.bounds,encoding:this.encoding}},r.prototype.loadTile=function(e,r){var n=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme),this.tileSize);function i(t,n){t&&(e.state=\\\"errored\\\",r(t)),n&&(e.dem=n,e.needsHillshadePrepare=!0,e.state=\\\"loaded\\\",r(null))}e.request=t.getImage(this.map._requestManager.transformRequest(n,t.ResourceType.Tile),function(n,a){if(delete e.request,e.aborted)e.state=\\\"unloaded\\\",r(null);else if(n)e.state=\\\"errored\\\",r(n);else if(a){this.map._refreshExpiredTiles&&e.setExpiryData(a),delete a.cacheControl,delete a.expires;var o=t.window.ImageBitmap&&a instanceof t.window.ImageBitmap&&t.offscreenCanvasSupported()?a:t.browser.getImageData(a,1),s={uid:e.uid,coord:e.tileID,source:this.id,rawImageData:o,encoding:this.encoding};e.actor&&\\\"expired\\\"!==e.state||(e.actor=this.dispatcher.getActor(),e.actor.send(\\\"loadDEMTile\\\",s,i.bind(this)))}}.bind(this)),e.neighboringTiles=this._getNeighboringTiles(e.tileID)},r.prototype._getNeighboringTiles=function(e){var r=e.canonical,n=Math.pow(2,r.z),i=(r.x-1+n)%n,a=0===r.x?e.wrap-1:e.wrap,o=(r.x+1+n)%n,s=r.x+1===n?e.wrap+1:e.wrap,l={};return l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y).key]={backfilled:!1},r.y>0&&(l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,r.z,r.x,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y-1).key]={backfilled:!1}),r.y+1<n&&(l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y+1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,r.z,r.x,r.y+1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y+1).key]={backfilled:!1}),l},r.prototype.unloadTile=function(t){t.demTexture&&this.map.painter.saveTileTexture(t.demTexture),t.fbo&&(t.fbo.destroy(),delete t.fbo),t.dem&&delete t.dem,delete t.neighboringTiles,t.state=\\\"unloaded\\\",t.actor&&t.actor.send(\\\"removeDEMTile\\\",{uid:t.uid,source:this.id})},r}(E),C=function(e){function r(r,n,i,a){e.call(this),this.id=r,this.type=\\\"geojson\\\",this.minzoom=0,this.maxzoom=18,this.tileSize=512,this.isTileClipped=!0,this.reparseOverscaled=!0,this._removed=!1,this._loaded=!1,this.actor=i.getActor(),this.setEventedParent(a),this._data=n.data,this._options=t.extend({},n),this._collectResourceTiming=n.collectResourceTiming,this._resourceTiming=[],void 0!==n.maxzoom&&(this.maxzoom=n.maxzoom),n.type&&(this.type=n.type),n.attribution&&(this.attribution=n.attribution),this.promoteId=n.promoteId;var o=t.EXTENT/this.tileSize;this.workerOptions=t.extend({source:this.id,cluster:n.cluster||!1,geojsonVtOptions:{buffer:(void 0!==n.buffer?n.buffer:128)*o,tolerance:(void 0!==n.tolerance?n.tolerance:.375)*o,extent:t.EXTENT,maxZoom:this.maxzoom,lineMetrics:n.lineMetrics||!1,generateId:n.generateId||!1},superclusterOptions:{maxZoom:void 0!==n.clusterMaxZoom?Math.min(n.clusterMaxZoom,this.maxzoom-1):this.maxzoom-1,extent:t.EXTENT,radius:(n.clusterRadius||50)*o,log:!1,generateId:n.generateId||!1},clusterProperties:n.clusterProperties},n.workerOptions)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this.fire(new t.Event(\\\"dataloading\\\",{dataType:\\\"source\\\"})),this._updateWorkerData((function(r){if(r)e.fire(new t.ErrorEvent(r));else{var n={dataType:\\\"source\\\",sourceDataType:\\\"metadata\\\"};e._collectResourceTiming&&e._resourceTiming&&e._resourceTiming.length>0&&(n.resourceTiming=e._resourceTiming,e._resourceTiming=[]),e.fire(new t.Event(\\\"data\\\",n))}}))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setData=function(e){var r=this;return this._data=e,this.fire(new t.Event(\\\"dataloading\\\",{dataType:\\\"source\\\"})),this._updateWorkerData((function(e){if(e)r.fire(new t.ErrorEvent(e));else{var n={dataType:\\\"source\\\",sourceDataType:\\\"content\\\"};r._collectResourceTiming&&r._resourceTiming&&r._resourceTiming.length>0&&(n.resourceTiming=r._resourceTiming,r._resourceTiming=[]),r.fire(new t.Event(\\\"data\\\",n))}})),this},r.prototype.getClusterExpansionZoom=function(t,e){return this.actor.send(\\\"geojson.getClusterExpansionZoom\\\",{clusterId:t,source:this.id},e),this},r.prototype.getClusterChildren=function(t,e){return this.actor.send(\\\"geojson.getClusterChildren\\\",{clusterId:t,source:this.id},e),this},r.prototype.getClusterLeaves=function(t,e,r,n){return this.actor.send(\\\"geojson.getClusterLeaves\\\",{source:this.id,clusterId:t,limit:e,offset:r},n),this},r.prototype._updateWorkerData=function(e){var r=this;this._loaded=!1;var n=t.extend({},this.workerOptions),i=this._data;\\\"string\\\"==typeof i?(n.request=this.map._requestManager.transformRequest(t.browser.resolveURL(i),t.ResourceType.Source),n.request.collectResourceTiming=this._collectResourceTiming):n.data=JSON.stringify(i),this.actor.send(this.type+\\\".loadData\\\",n,(function(t,i){r._removed||i&&i.abandoned||(r._loaded=!0,i&&i.resourceTiming&&i.resourceTiming[r.id]&&(r._resourceTiming=i.resourceTiming[r.id].slice(0)),r.actor.send(r.type+\\\".coalesce\\\",{source:n.source},null),e(t))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.loadTile=function(e,r){var n=this,i=e.actor?\\\"reloadTile\\\":\\\"loadTile\\\";e.actor=this.actor;var a={type:this.type,uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,maxZoom:this.maxzoom,tileSize:this.tileSize,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};e.request=this.actor.send(i,a,(function(t,a){return delete e.request,e.unloadVectorData(),e.aborted?r(null):t?r(t):(e.loadVectorData(a,n.map.painter,\\\"reloadTile\\\"===i),r(null))}))},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.aborted=!0},r.prototype.unloadTile=function(t){t.unloadVectorData(),this.actor.send(\\\"removeTile\\\",{uid:t.uid,type:this.type,source:this.id})},r.prototype.onRemove=function(){this._removed=!0,this.actor.send(\\\"removeSource\\\",{type:this.type,source:this.id})},r.prototype.serialize=function(){return t.extend({},this._options,{type:this.type,data:this._data})},r.prototype.hasTransition=function(){return!1},r}(t.Evented),P=t.createLayout([{name:\\\"a_pos\\\",type:\\\"Int16\\\",components:2},{name:\\\"a_texture_pos\\\",type:\\\"Int16\\\",components:2}]),I=function(e){function r(t,r,n,i){e.call(this),this.id=t,this.dispatcher=n,this.coordinates=r.coordinates,this.type=\\\"image\\\",this.minzoom=0,this.maxzoom=22,this.tileSize=512,this.tiles={},this._loaded=!1,this.setEventedParent(i),this.options=r}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(e,r){var n=this;this._loaded=!1,this.fire(new t.Event(\\\"dataloading\\\",{dataType:\\\"source\\\"})),this.url=this.options.url,t.getImage(this.map._requestManager.transformRequest(this.url,t.ResourceType.Image),(function(i,a){n._loaded=!0,i?n.fire(new t.ErrorEvent(i)):a&&(n.image=a,e&&(n.coordinates=e),r&&r(),n._finishLoading())}))},r.prototype.loaded=function(){return this._loaded},r.prototype.updateImage=function(t){var e=this;return this.image&&t.url?(this.options.url=t.url,this.load(t.coordinates,(function(){e.texture=null})),this):this},r.prototype._finishLoading=function(){this.map&&(this.setCoordinates(this.coordinates),this.fire(new t.Event(\\\"data\\\",{dataType:\\\"source\\\",sourceDataType:\\\"metadata\\\"})))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setCoordinates=function(e){var r=this;this.coordinates=e;var n=e.map(t.MercatorCoordinate.fromLngLat);this.tileID=function(e){for(var r=1/0,n=1/0,i=-1/0,a=-1/0,o=0,s=e;o<s.length;o+=1){var l=s[o];r=Math.min(r,l.x),n=Math.min(n,l.y),i=Math.max(i,l.x),a=Math.max(a,l.y)}var c=i-r,u=a-n,f=Math.max(c,u),h=Math.max(0,Math.floor(-Math.log(f)/Math.LN2)),p=Math.pow(2,h);return new t.CanonicalTileID(h,Math.floor((r+i)/2*p),Math.floor((n+a)/2*p))}(n),this.minzoom=this.maxzoom=this.tileID.z;var i=n.map((function(t){return r.tileID.getTilePoint(t)._round()}));return this._boundsArray=new t.StructArrayLayout4i8,this._boundsArray.emplaceBack(i[0].x,i[0].y,0,0),this._boundsArray.emplaceBack(i[1].x,i[1].y,t.EXTENT,0),this._boundsArray.emplaceBack(i[3].x,i[3].y,0,t.EXTENT),this._boundsArray.emplaceBack(i[2].x,i[2].y,t.EXTENT,t.EXTENT),this.boundsBuffer&&(this.boundsBuffer.destroy(),delete this.boundsBuffer),this.fire(new t.Event(\\\"data\\\",{dataType:\\\"source\\\",sourceDataType:\\\"content\\\"})),this},r.prototype.prepare=function(){if(0!==Object.keys(this.tiles).length&&this.image){var e=this.map.painter.context,r=e.gl;for(var n in this.boundsBuffer||(this.boundsBuffer=e.createVertexBuffer(this._boundsArray,P.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture||(this.texture=new t.Texture(e,this.image,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE)),this.tiles){var i=this.tiles[n];\\\"loaded\\\"!==i.state&&(i.state=\\\"loaded\\\",i.texture=this.texture)}}},r.prototype.loadTile=function(t,e){this.tileID&&this.tileID.equals(t.tileID.canonical)?(this.tiles[String(t.tileID.wrap)]=t,t.buckets={},e(null)):(t.state=\\\"errored\\\",e(null))},r.prototype.serialize=function(){return{type:\\\"image\\\",url:this.options.url,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return!1},r}(t.Evented);var O=function(e){function r(t,r,n,i){e.call(this,t,r,n,i),this.roundZoom=!0,this.type=\\\"video\\\",this.options=r}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1;var r=this.options;this.urls=[];for(var n=0,i=r.urls;n<i.length;n+=1){var a=i[n];this.urls.push(this.map._requestManager.transformRequest(a,t.ResourceType.Source).url)}t.getVideo(this.urls,(function(r,n){e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(e.video=n,e.video.loop=!0,e.video.addEventListener(\\\"playing\\\",(function(){e.map.triggerRepaint()})),e.map&&e.video.play(),e._finishLoading())}))},r.prototype.pause=function(){this.video&&this.video.pause()},r.prototype.play=function(){this.video&&this.video.play()},r.prototype.seek=function(e){if(this.video){var r=this.video.seekable;e<r.start(0)||e>r.end(0)?this.fire(new t.ErrorEvent(new t.ValidationError(\\\"sources.\\\"+this.id,null,\\\"Playback for this video can be set only between the \\\"+r.start(0)+\\\" and \\\"+r.end(0)+\\\"-second mark.\\\"))):this.video.currentTime=e}},r.prototype.getVideo=function(){return this.video},r.prototype.onAdd=function(t){this.map||(this.map=t,this.load(),this.video&&(this.video.play(),this.setCoordinates(this.coordinates)))},r.prototype.prepare=function(){if(!(0===Object.keys(this.tiles).length||this.video.readyState<2)){var e=this.map.painter.context,r=e.gl;for(var n in this.boundsBuffer||(this.boundsBuffer=e.createVertexBuffer(this._boundsArray,P.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?this.video.paused||(this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE),r.texSubImage2D(r.TEXTURE_2D,0,0,0,r.RGBA,r.UNSIGNED_BYTE,this.video)):(this.texture=new t.Texture(e,this.video,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE)),this.tiles){var i=this.tiles[n];\\\"loaded\\\"!==i.state&&(i.state=\\\"loaded\\\",i.texture=this.texture)}}},r.prototype.serialize=function(){return{type:\\\"video\\\",urls:this.urls,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this.video&&!this.video.paused},r}(I),z=function(e){function r(r,n,i,a){e.call(this,r,n,i,a),n.coordinates?Array.isArray(n.coordinates)&&4===n.coordinates.length&&!n.coordinates.some((function(t){return!Array.isArray(t)||2!==t.length||t.some((function(t){return\\\"number\\\"!=typeof t}))}))||this.fire(new t.ErrorEvent(new t.ValidationError(\\\"sources.\\\"+r,null,'\\\"coordinates\\\" property must be an array of 4 longitude/latitude array pairs'))):this.fire(new t.ErrorEvent(new t.ValidationError(\\\"sources.\\\"+r,null,'missing required property \\\"coordinates\\\"'))),n.animate&&\\\"boolean\\\"!=typeof n.animate&&this.fire(new t.ErrorEvent(new t.ValidationError(\\\"sources.\\\"+r,null,'optional \\\"animate\\\" property must be a boolean value'))),n.canvas?\\\"string\\\"==typeof n.canvas||n.canvas instanceof t.window.HTMLCanvasElement||this.fire(new t.ErrorEvent(new t.ValidationError(\\\"sources.\\\"+r,null,'\\\"canvas\\\" must be either a string representing the ID of the canvas element from which to read, or an HTMLCanvasElement instance'))):this.fire(new t.ErrorEvent(new t.ValidationError(\\\"sources.\\\"+r,null,'missing required property \\\"canvas\\\"'))),this.options=n,this.animate=void 0===n.animate||n.animate}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){this._loaded=!0,this.canvas||(this.canvas=this.options.canvas instanceof t.window.HTMLCanvasElement?this.options.canvas:t.window.document.getElementById(this.options.canvas)),this.width=this.canvas.width,this.height=this.canvas.height,this._hasInvalidDimensions()?this.fire(new t.ErrorEvent(new Error(\\\"Canvas dimensions cannot be less than or equal to zero.\\\"))):(this.play=function(){this._playing=!0,this.map.triggerRepaint()},this.pause=function(){this._playing&&(this.prepare(),this._playing=!1)},this._finishLoading())},r.prototype.getCanvas=function(){return this.canvas},r.prototype.onAdd=function(t){this.map=t,this.load(),this.canvas&&this.animate&&this.play()},r.prototype.onRemove=function(){this.pause()},r.prototype.prepare=function(){var e=!1;if(this.canvas.width!==this.width&&(this.width=this.canvas.width,e=!0),this.canvas.height!==this.height&&(this.height=this.canvas.height,e=!0),!this._hasInvalidDimensions()&&0!==Object.keys(this.tiles).length){var r=this.map.painter.context,n=r.gl;for(var i in this.boundsBuffer||(this.boundsBuffer=r.createVertexBuffer(this._boundsArray,P.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?(e||this._playing)&&this.texture.update(this.canvas,{premultiply:!0}):this.texture=new t.Texture(r,this.canvas,n.RGBA,{premultiply:!0}),this.tiles){var a=this.tiles[i];\\\"loaded\\\"!==a.state&&(a.state=\\\"loaded\\\",a.texture=this.texture)}}},r.prototype.serialize=function(){return{type:\\\"canvas\\\",coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this._playing},r.prototype._hasInvalidDimensions=function(){for(var t=0,e=[this.canvas.width,this.canvas.height];t<e.length;t+=1){var r=e[t];if(isNaN(r)||r<=0)return!0}return!1},r}(I),D={vector:S,raster:E,\\\"raster-dem\\\":L,geojson:C,video:O,image:I,canvas:z};function R(e,r){var n=t.identity([]);return t.translate(n,n,[1,1,0]),t.scale(n,n,[.5*e.width,.5*e.height,1]),t.multiply(n,n,e.calculatePosMatrix(r.toUnwrapped()))}function F(t,e,r,n,i,a){var o=function(t,e,r){if(t)for(var n=0,i=t;n<i.length;n+=1){var a=e[i[n]];if(a&&a.source===r&&\\\"fill-extrusion\\\"===a.type)return!0}else for(var o in e){var s=e[o];if(s.source===r&&\\\"fill-extrusion\\\"===s.type)return!0}return!1}(i&&i.layers,e,t.id),s=a.maxPitchScaleFactor(),l=t.tilesIn(n,s,o);l.sort(B);for(var c=[],u=0,f=l;u<f.length;u+=1){var h=f[u];c.push({wrappedTileID:h.tileID.wrapped().key,queryResults:h.tile.queryRenderedFeatures(e,r,t._state,h.queryGeometry,h.cameraQueryGeometry,h.scale,i,a,s,R(t.transform,h.tileID))})}var p=function(t){for(var e={},r={},n=0,i=t;n<i.length;n+=1){var a=i[n],o=a.queryResults,s=a.wrappedTileID,l=r[s]=r[s]||{};for(var c in o)for(var 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r=0;r<this.attributes.length;r++){var n=this.attributes[r],i=e.attributes[n.name];void 0!==i&&t.enableVertexAttribArray(i)}},V.prototype.setVertexAttribPointers=function(t,e,r){for(var n=0;n<this.attributes.length;n++){var i=this.attributes[n],a=e.attributes[i.name];void 0!==a&&t.vertexAttribPointer(a,i.components,t[U[i.type]],!1,this.itemSize,i.offset+this.itemSize*(r||0))}},V.prototype.destroy=function(){var t=this.context.gl;this.buffer&&(t.deleteBuffer(this.buffer),delete this.buffer)};var q=function(t){this.gl=t.gl,this.default=this.getDefault(),this.current=this.default,this.dirty=!1};q.prototype.get=function(){return this.current},q.prototype.set=function(t){},q.prototype.getDefault=function(){return this.default},q.prototype.setDefault=function(){this.set(this.default)};var H=function(e){function r(){e.apply(this,arguments)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getDefault=function(){return 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e=this.gl;e.pixelStorei(e.UNPACK_PREMULTIPLY_ALPHA_WEBGL,t),this.current=t,this.dirty=!1}},e}(q),bt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return!1},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.pixelStorei(e.UNPACK_FLIP_Y_WEBGL,t),this.current=t,this.dirty=!1}},e}(q),_t=function(t){function e(e,r){t.call(this,e),this.context=e,this.parent=r}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return null},e}(q),wt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.setDirty=function(){this.dirty=!0},e.prototype.set=function(t){if(t!==this.current||this.dirty){this.context.bindFramebuffer.set(this.parent);var e=this.gl;e.framebufferTexture2D(e.FRAMEBUFFER,e.COLOR_ATTACHMENT0,e.TEXTURE_2D,t,0),this.current=t,this.dirty=!1}},e}(_t),Tt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.set=function(t){if(t!==this.current||this.dirty){this.context.bindFramebuffer.set(this.parent);var e=this.gl;e.framebufferRenderbuffer(e.FRAMEBUFFER,e.DEPTH_ATTACHMENT,e.RENDERBUFFER,t),this.current=t,this.dirty=!1}},e}(_t),kt=function(t,e,r,n){this.context=t,this.width=e,this.height=r;var i=t.gl,a=this.framebuffer=i.createFramebuffer();this.colorAttachment=new wt(t,a),n&&(this.depthAttachment=new Tt(t,a))};kt.prototype.destroy=function(){var t=this.context.gl,e=this.colorAttachment.get();if(e&&t.deleteTexture(e),this.depthAttachment){var r=this.depthAttachment.get();r&&t.deleteRenderbuffer(r)}t.deleteFramebuffer(this.framebuffer)};var Mt=function(t,e,r){this.func=t,this.mask=e,this.range=r};Mt.ReadOnly=!1,Mt.ReadWrite=!0,Mt.disabled=new Mt(519,Mt.ReadOnly,[0,1]);var At=function(t,e,r,n,i,a){this.test=t,this.ref=e,this.mask=r,this.fail=n,this.depthFail=i,this.pass=a};At.disabled=new At({func:519,mask:0},0,0,7680,7680,7680);var St=function(t,e,r){this.blendFunction=t,this.blendColor=e,this.mask=r};St.disabled=new St(St.Replace=[1,0],t.Color.transparent,[!1,!1,!1,!1]),St.unblended=new St(St.Replace,t.Color.transparent,[!0,!0,!0,!0]),St.alphaBlended=new St([1,771],t.Color.transparent,[!0,!0,!0,!0]);var Et=function(t,e,r){this.enable=t,this.mode=e,this.frontFace=r};Et.disabled=new Et(!1,1029,2305),Et.backCCW=new Et(!0,1029,2305);var Lt=function(t){this.gl=t,this.extVertexArrayObject=this.gl.getExtension(\\\"OES_vertex_array_object\\\"),this.clearColor=new H(this),this.clearDepth=new G(this),this.clearStencil=new Y(this),this.colorMask=new W(this),this.depthMask=new X(this),this.stencilMask=new Z(this),this.stencilFunc=new J(this),this.stencilOp=new K(this),this.stencilTest=new Q(this),this.depthRange=new $(this),this.depthTest=new tt(this),this.depthFunc=new et(this),this.blend=new rt(this),this.blendFunc=new nt(this),this.blendColor=new it(this),this.blendEquation=new at(this),this.cullFace=new ot(this),this.cullFaceSide=new st(this),this.frontFace=new lt(this),this.program=new ct(this),this.activeTexture=new ut(this),this.viewport=new ft(this),this.bindFramebuffer=new ht(this),this.bindRenderbuffer=new pt(this),this.bindTexture=new dt(this),this.bindVertexBuffer=new mt(this),this.bindElementBuffer=new gt(this),this.bindVertexArrayOES=this.extVertexArrayObject&&new vt(this),this.pixelStoreUnpack=new yt(this),this.pixelStoreUnpackPremultiplyAlpha=new xt(this),this.pixelStoreUnpackFlipY=new bt(this),this.extTextureFilterAnisotropic=t.getExtension(\\\"EXT_texture_filter_anisotropic\\\")||t.getExtension(\\\"MOZ_EXT_texture_filter_anisotropic\\\")||t.getExtension(\\\"WEBKIT_EXT_texture_filter_anisotropic\\\"),this.extTextureFilterAnisotropic&&(this.extTextureFilterAnisotropicMax=t.getParameter(this.extTextureFilterAnisotropic.MAX_TEXTURE_MAX_ANISOTROPY_EXT)),this.extTextureHalfFloat=t.getExtension(\\\"OES_texture_half_float\\\"),this.extTextureHalfFloat&&(t.getExtension(\\\"OES_texture_half_float_linear\\\"),this.extRenderToTextureHalfFloat=t.getExtension(\\\"EXT_color_buffer_half_float\\\")),this.extTimerQuery=t.getExtension(\\\"EXT_disjoint_timer_query\\\")};Lt.prototype.setDefault=function(){this.unbindVAO(),this.clearColor.setDefault(),this.clearDepth.setDefault(),this.clearStencil.setDefault(),this.colorMask.setDefault(),this.depthMask.setDefault(),this.stencilMask.setDefault(),this.stencilFunc.setDefault(),this.stencilOp.setDefault(),this.stencilTest.setDefault(),this.depthRange.setDefault(),this.depthTest.setDefault(),this.depthFunc.setDefault(),this.blend.setDefault(),this.blendFunc.setDefault(),this.blendColor.setDefault(),this.blendEquation.setDefault(),this.cullFace.setDefault(),this.cullFaceSide.setDefault(),this.frontFace.setDefault(),this.program.setDefault(),this.activeTexture.setDefault(),this.bindFramebuffer.setDefault(),this.pixelStoreUnpack.setDefault(),this.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.pixelStoreUnpackFlipY.setDefault()},Lt.prototype.setDirty=function(){this.clearColor.dirty=!0,this.clearDepth.dirty=!0,this.clearStencil.dirty=!0,this.colorMask.dirty=!0,this.depthMask.dirty=!0,this.stencilMask.dirty=!0,this.stencilFunc.dirty=!0,this.stencilOp.dirty=!0,this.stencilTest.dirty=!0,this.depthRange.dirty=!0,this.depthTest.dirty=!0,this.depthFunc.dirty=!0,this.blend.dirty=!0,this.blendFunc.dirty=!0,this.blendColor.dirty=!0,this.blendEquation.dirty=!0,this.cullFace.dirty=!0,this.cullFaceSide.dirty=!0,this.frontFace.dirty=!0,this.program.dirty=!0,this.activeTexture.dirty=!0,this.viewport.dirty=!0,this.bindFramebuffer.dirty=!0,this.bindRenderbuffer.dirty=!0,this.bindTexture.dirty=!0,this.bindVertexBuffer.dirty=!0,this.bindElementBuffer.dirty=!0,this.extVertexArrayObject&&(this.bindVertexArrayOES.dirty=!0),this.pixelStoreUnpack.dirty=!0,this.pixelStoreUnpackPremultiplyAlpha.dirty=!0,this.pixelStoreUnpackFlipY.dirty=!0},Lt.prototype.createIndexBuffer=function(t,e){return new j(this,t,e)},Lt.prototype.createVertexBuffer=function(t,e,r){return new V(this,t,e,r)},Lt.prototype.createRenderbuffer=function(t,e,r){var n=this.gl,i=n.createRenderbuffer();return this.bindRenderbuffer.set(i),n.renderbufferStorage(n.RENDERBUFFER,t,e,r),this.bindRenderbuffer.set(null),i},Lt.prototype.createFramebuffer=function(t,e,r){return new kt(this,t,e,r)},Lt.prototype.clear=function(t){var e=t.color,r=t.depth,n=this.gl,i=0;e&&(i|=n.COLOR_BUFFER_BIT,this.clearColor.set(e),this.colorMask.set([!0,!0,!0,!0])),void 0!==r&&(i|=n.DEPTH_BUFFER_BIT,this.depthRange.set([0,1]),this.clearDepth.set(r),this.depthMask.set(!0)),n.clear(i)},Lt.prototype.setCullFace=function(t){!1===t.enable?this.cullFace.set(!1):(this.cullFace.set(!0),this.cullFaceSide.set(t.mode),this.frontFace.set(t.frontFace))},Lt.prototype.setDepthMode=function(t){t.func!==this.gl.ALWAYS||t.mask?(this.depthTest.set(!0),this.depthFunc.set(t.func),this.depthMask.set(t.mask),this.depthRange.set(t.range)):this.depthTest.set(!1)},Lt.prototype.setStencilMode=function(t){t.test.func!==this.gl.ALWAYS||t.mask?(this.stencilTest.set(!0),this.stencilMask.set(t.mask),this.stencilOp.set([t.fail,t.depthFail,t.pass]),this.stencilFunc.set({func:t.test.func,ref:t.ref,mask:t.test.mask})):this.stencilTest.set(!1)},Lt.prototype.setColorMode=function(e){t.deepEqual(e.blendFunction,St.Replace)?this.blend.set(!1):(this.blend.set(!0),this.blendFunc.set(e.blendFunction),this.blendColor.set(e.blendColor)),this.colorMask.set(e.mask)},Lt.prototype.unbindVAO=function(){this.extVertexArrayObject&&this.bindVertexArrayOES.set(null)};var Ct=function(e){function r(r,n,i){var a=this;e.call(this),this.id=r,this.dispatcher=i,this.on(\\\"data\\\",(function(t){\\\"source\\\"===t.dataType&&\\\"metadata\\\"===t.sourceDataType&&(a._sourceLoaded=!0),a._sourceLoaded&&!a._paused&&\\\"source\\\"===t.dataType&&\\\"content\\\"===t.sourceDataType&&(a.reload(),a.transform&&a.update(a.transform))})),this.on(\\\"error\\\",(function(){a._sourceErrored=!0})),this._source=function(e,r,n,i){var a=new D[r.type](e,r,n,i);if(a.id!==e)throw new Error(\\\"Expected Source id to be \\\"+e+\\\" instead of \\\"+a.id);return t.bindAll([\\\"load\\\",\\\"abort\\\",\\\"unload\\\",\\\"serialize\\\",\\\"prepare\\\"],a),a}(r,n,i,this),this._tiles={},this._cache=new N(0,this._unloadTile.bind(this)),this._timers={},this._cacheTimers={},this._maxTileCacheSize=null,this._loadedParentTiles={},this._coveredTiles={},this._state=new t.SourceFeatureState}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.onAdd=function(t){this.map=t,this._maxTileCacheSize=t?t._maxTileCacheSize:null,this._source&&this._source.onAdd&&this._source.onAdd(t)},r.prototype.onRemove=function(t){this._source&&this._source.onRemove&&this._source.onRemove(t)},r.prototype.loaded=function(){if(this._sourceErrored)return!0;if(!this._sourceLoaded)return!1;if(!this._source.loaded())return!1;for(var t in this._tiles){var e=this._tiles[t];if(\\\"loaded\\\"!==e.state&&\\\"errored\\\"!==e.state)return!1}return!0},r.prototype.getSource=function(){return this._source},r.prototype.pause=function(){this._paused=!0},r.prototype.resume=function(){if(this._paused){var t=this._shouldReloadOnResume;this._paused=!1,this._shouldReloadOnResume=!1,t&&this.reload(),this.transform&&this.update(this.transform)}},r.prototype._loadTile=function(t,e){return this._source.loadTile(t,e)},r.prototype._unloadTile=function(t){if(this._source.unloadTile)return this._source.unloadTile(t,(function(){}))},r.prototype._abortTile=function(t){if(this._source.abortTile)return this._source.abortTile(t,(function(){}))},r.prototype.serialize=function(){return this._source.serialize()},r.prototype.prepare=function(t){for(var e in this._source.prepare&&this._source.prepare(),this._state.coalesceChanges(this._tiles,this.map?this.map.painter:null),this._tiles){var r=this._tiles[e];r.upload(t),r.prepare(this.map.style.imageManager)}},r.prototype.getIds=function(){return t.values(this._tiles).map((function(t){return t.tileID})).sort(Pt).map((function(t){return t.key}))},r.prototype.getRenderableIds=function(e){var r=this,n=[];for(var i in this._tiles)this._isIdRenderable(i,e)&&n.push(this._tiles[i]);return e?n.sort((function(e,n){var i=e.tileID,a=n.tileID,o=new t.Point(i.canonical.x,i.canonical.y)._rotate(r.transform.angle),s=new t.Point(a.canonical.x,a.canonical.y)._rotate(r.transform.angle);return i.overscaledZ-a.overscaledZ||s.y-o.y||s.x-o.x})).map((function(t){return t.tileID.key})):n.map((function(t){return t.tileID})).sort(Pt).map((function(t){return t.key}))},r.prototype.hasRenderableParent=function(t){var e=this.findLoadedParent(t,0);return!!e&&this._isIdRenderable(e.tileID.key)},r.prototype._isIdRenderable=function(t,e){return this._tiles[t]&&this._tiles[t].hasData()&&!this._coveredTiles[t]&&(e||!this._tiles[t].holdingForFade())},r.prototype.reload=function(){if(this._paused)this._shouldReloadOnResume=!0;else for(var t in this._cache.reset(),this._tiles)\\\"errored\\\"!==this._tiles[t].state&&this._reloadTile(t,\\\"reloading\\\")},r.prototype._reloadTile=function(t,e){var r=this._tiles[t];r&&(\\\"loading\\\"!==r.state&&(r.state=e),this._loadTile(r,this._tileLoaded.bind(this,r,t,e)))},r.prototype._tileLoaded=function(e,r,n,i){if(i)return e.state=\\\"errored\\\",void(404!==i.status?this._source.fire(new t.ErrorEvent(i,{tile:e})):this.update(this.transform));e.timeAdded=t.browser.now(),\\\"expired\\\"===n&&(e.refreshedUponExpiration=!0),this._setTileReloadTimer(r,e),\\\"raster-dem\\\"===this.getSource().type&&e.dem&&this._backfillDEM(e),this._state.initializeTileState(e,this.map?this.map.painter:null),this._source.fire(new t.Event(\\\"data\\\",{dataType:\\\"source\\\",tile:e,coord:e.tileID}))},r.prototype._backfillDEM=function(t){for(var e=this.getRenderableIds(),r=0;r<e.length;r++){var n=e[r];if(t.neighboringTiles&&t.neighboringTiles[n]){var i=this.getTileByID(n);a(t,i),a(i,t)}}function a(t,e){t.needsHillshadePrepare=!0;var r=e.tileID.canonical.x-t.tileID.canonical.x,n=e.tileID.canonical.y-t.tileID.canonical.y,i=Math.pow(2,t.tileID.canonical.z),a=e.tileID.key;0===r&&0===n||Math.abs(n)>1||(Math.abs(r)>1&&(1===Math.abs(r+i)?r+=i:1===Math.abs(r-i)&&(r-=i)),e.dem&&t.dem&&(t.dem.backfillBorder(e.dem,r,n),t.neighboringTiles&&t.neighboringTiles[a]&&(t.neighboringTiles[a].backfilled=!0)))}},r.prototype.getTile=function(t){return this.getTileByID(t.key)},r.prototype.getTileByID=function(t){return this._tiles[t]},r.prototype._retainLoadedChildren=function(t,e,r,n){for(var i in this._tiles){var a=this._tiles[i];if(!(n[i]||!a.hasData()||a.tileID.overscaledZ<=e||a.tileID.overscaledZ>r)){for(var o=a.tileID;a&&a.tileID.overscaledZ>e+1;){var s=a.tileID.scaledTo(a.tileID.overscaledZ-1);(a=this._tiles[s.key])&&a.hasData()&&(o=s)}for(var l=o;l.overscaledZ>e;)if(t[(l=l.scaledTo(l.overscaledZ-1)).key]){n[o.key]=o;break}}}},r.prototype.findLoadedParent=function(t,e){if(t.key in this._loadedParentTiles){var r=this._loadedParentTiles[t.key];return r&&r.tileID.overscaledZ>=e?r:null}for(var n=t.overscaledZ-1;n>=e;n--){var i=t.scaledTo(n),a=this._getLoadedTile(i);if(a)return a}},r.prototype._getLoadedTile=function(t){var e=this._tiles[t.key];return e&&e.hasData()?e:this._cache.getByKey(t.wrapped().key)},r.prototype.updateCacheSize=function(t){var e=(Math.ceil(t.width/this._source.tileSize)+1)*(Math.ceil(t.height/this._source.tileSize)+1),r=Math.floor(5*e),n=\\\"number\\\"==typeof this._maxTileCacheSize?Math.min(this._maxTileCacheSize,r):r;this._cache.setMaxSize(n)},r.prototype.handleWrapJump=function(t){var e=(t-(void 0===this._prevLng?t:this._prevLng))/360,r=Math.round(e);if(this._prevLng=t,r){var n={};for(var i in this._tiles){var a=this._tiles[i];a.tileID=a.tileID.unwrapTo(a.tileID.wrap+r),n[a.tileID.key]=a}for(var o in this._tiles=n,this._timers)clearTimeout(this._timers[o]),delete this._timers[o];for(var s in this._tiles){var l=this._tiles[s];this._setTileReloadTimer(s,l)}}},r.prototype.update=function(e){var n=this;if(this.transform=e,this._sourceLoaded&&!this._paused){var i;this.updateCacheSize(e),this.handleWrapJump(this.transform.center.lng),this._coveredTiles={},this.used?this._source.tileID?i=e.getVisibleUnwrappedCoordinates(this._source.tileID).map((function(e){return new t.OverscaledTileID(e.canonical.z,e.wrap,e.canonical.z,e.canonical.x,e.canonical.y)})):(i=e.coveringTiles({tileSize:this._source.tileSize,minzoom:this._source.minzoom,maxzoom:this._source.maxzoom,roundZoom:this._source.roundZoom,reparseOverscaled:this._source.reparseOverscaled}),this._source.hasTile&&(i=i.filter((function(t){return n._source.hasTile(t)})))):i=[];var a=e.coveringZoomLevel(this._source),o=Math.max(a-r.maxOverzooming,this._source.minzoom),s=Math.max(a+r.maxUnderzooming,this._source.minzoom),l=this._updateRetainedTiles(i,a);if(It(this._source.type)){for(var c={},u={},f=0,h=Object.keys(l);f<h.length;f+=1){var p=h[f],d=l[p],m=this._tiles[p];if(m&&!(m.fadeEndTime&&m.fadeEndTime<=t.browser.now())){var g=this.findLoadedParent(d,o);g&&(this._addTile(g.tileID),c[g.tileID.key]=g.tileID),u[p]=d}}for(var v in this._retainLoadedChildren(u,a,s,l),c)l[v]||(this._coveredTiles[v]=!0,l[v]=c[v])}for(var y in l)this._tiles[y].clearFadeHold();for(var x=0,b=t.keysDifference(this._tiles,l);x<b.length;x+=1){var _=b[x],w=this._tiles[_];w.hasSymbolBuckets&&!w.holdingForFade()?w.setHoldDuration(this.map._fadeDuration):w.hasSymbolBuckets&&!w.symbolFadeFinished()||this._removeTile(_)}this._updateLoadedParentTileCache()}},r.prototype.releaseSymbolFadeTiles=function(){for(var t in this._tiles)this._tiles[t].holdingForFade()&&this._removeTile(t)},r.prototype._updateRetainedTiles=function(t,e){for(var n={},i={},a=Math.max(e-r.maxOverzooming,this._source.minzoom),o=Math.max(e+r.maxUnderzooming,this._source.minzoom),s={},l=0,c=t;l<c.length;l+=1){var u=c[l],f=this._addTile(u);n[u.key]=u,f.hasData()||e<this._source.maxzoom&&(s[u.key]=u)}this._retainLoadedChildren(s,e,o,n);for(var h=0,p=t;h<p.length;h+=1){var d=p[h],m=this._tiles[d.key];if(!m.hasData()){if(e+1>this._source.maxzoom){var g=d.children(this._source.maxzoom)[0],v=this.getTile(g);if(v&&v.hasData()){n[g.key]=g;continue}}else{var y=d.children(this._source.maxzoom);if(n[y[0].key]&&n[y[1].key]&&n[y[2].key]&&n[y[3].key])continue}for(var x=m.wasRequested(),b=d.overscaledZ-1;b>=a;--b){var _=d.scaledTo(b);if(i[_.key])break;if(i[_.key]=!0,!(m=this.getTile(_))&&x&&(m=this._addTile(_)),m&&(n[_.key]=_,x=m.wasRequested(),m.hasData()))break}}}return n},r.prototype._updateLoadedParentTileCache=function(){for(var t in this._loadedParentTiles={},this._tiles){for(var e=[],r=void 0,n=this._tiles[t].tileID;n.overscaledZ>0;){if(n.key in this._loadedParentTiles){r=this._loadedParentTiles[n.key];break}e.push(n.key);var i=n.scaledTo(n.overscaledZ-1);if(r=this._getLoadedTile(i))break;n=i}for(var a=0,o=e;a<o.length;a+=1){var s=o[a];this._loadedParentTiles[s]=r}}},r.prototype._addTile=function(e){var r=this._tiles[e.key];if(r)return r;(r=this._cache.getAndRemove(e))&&(this._setTileReloadTimer(e.key,r),r.tileID=e,this._state.initializeTileState(r,this.map?this.map.painter:null),this._cacheTimers[e.key]&&(clearTimeout(this._cacheTimers[e.key]),delete this._cacheTimers[e.key],this._setTileReloadTimer(e.key,r)));var n=Boolean(r);return n||(r=new t.Tile(e,this._source.tileSize*e.overscaleFactor()),this._loadTile(r,this._tileLoaded.bind(this,r,e.key,r.state))),r?(r.uses++,this._tiles[e.key]=r,n||this._source.fire(new t.Event(\\\"dataloading\\\",{tile:r,coord:r.tileID,dataType:\\\"source\\\"})),r):null},r.prototype._setTileReloadTimer=function(t,e){var r=this;t in this._timers&&(clearTimeout(this._timers[t]),delete this._timers[t]);var n=e.getExpiryTimeout();n&&(this._timers[t]=setTimeout((function(){r._reloadTile(t,\\\"expired\\\"),delete r._timers[t]}),n))},r.prototype._removeTile=function(t){var e=this._tiles[t];e&&(e.uses--,delete this._tiles[t],this._timers[t]&&(clearTimeout(this._timers[t]),delete this._timers[t]),e.uses>0||(e.hasData()&&\\\"reloading\\\"!==e.state?this._cache.add(e.tileID,e,e.getExpiryTimeout()):(e.aborted=!0,this._abortTile(e),this._unloadTile(e))))},r.prototype.clearTiles=function(){for(var t in this._shouldReloadOnResume=!1,this._paused=!1,this._tiles)this._removeTile(t);this._cache.reset()},r.prototype.tilesIn=function(e,r,n){var i=this,a=[],o=this.transform;if(!o)return a;for(var s=n?o.getCameraQueryGeometry(e):e,l=e.map((function(t){return o.pointCoordinate(t)})),c=s.map((function(t){return o.pointCoordinate(t)})),u=this.getIds(),f=1/0,h=1/0,p=-1/0,d=-1/0,m=0,g=c;m<g.length;m+=1){var v=g[m];f=Math.min(f,v.x),h=Math.min(h,v.y),p=Math.max(p,v.x),d=Math.max(d,v.y)}for(var y=function(e){var n=i._tiles[u[e]];if(!n.holdingForFade()){var s=n.tileID,m=Math.pow(2,o.zoom-n.tileID.overscaledZ),g=r*n.queryPadding*t.EXTENT/n.tileSize/m,v=[s.getTilePoint(new t.MercatorCoordinate(f,h)),s.getTilePoint(new t.MercatorCoordinate(p,d))];if(v[0].x-g<t.EXTENT&&v[0].y-g<t.EXTENT&&v[1].x+g>=0&&v[1].y+g>=0){var y=l.map((function(t){return s.getTilePoint(t)})),x=c.map((function(t){return s.getTilePoint(t)}));a.push({tile:n,tileID:s,queryGeometry:y,cameraQueryGeometry:x,scale:m})}}},x=0;x<u.length;x++)y(x);return a},r.prototype.getVisibleCoordinates=function(t){for(var e=this,r=this.getRenderableIds(t).map((function(t){return e._tiles[t].tileID})),n=0,i=r;n<i.length;n+=1){var a=i[n];a.posMatrix=this.transform.calculatePosMatrix(a.toUnwrapped())}return r},r.prototype.hasTransition=function(){if(this._source.hasTransition())return!0;if(It(this._source.type))for(var e in this._tiles){var r=this._tiles[e];if(void 0!==r.fadeEndTime&&r.fadeEndTime>=t.browser.now())return!0}return!1},r.prototype.setFeatureState=function(t,e,r){t=t||\\\"_geojsonTileLayer\\\",this._state.updateState(t,e,r)},r.prototype.removeFeatureState=function(t,e,r){t=t||\\\"_geojsonTileLayer\\\",this._state.removeFeatureState(t,e,r)},r.prototype.getFeatureState=function(t,e){return t=t||\\\"_geojsonTileLayer\\\",this._state.getState(t,e)},r.prototype.setDependencies=function(t,e,r){var n=this._tiles[t];n&&n.setDependencies(e,r)},r.prototype.reloadTilesForDependencies=function(t,e){for(var r in this._tiles){this._tiles[r].hasDependency(t,e)&&this._reloadTile(r,\\\"reloading\\\")}this._cache.filter((function(r){return!r.hasDependency(t,e)}))},r}(t.Evented);function Pt(t,e){var r=Math.abs(2*t.wrap)-+(t.wrap<0),n=Math.abs(2*e.wrap)-+(e.wrap<0);return t.overscaledZ-e.overscaledZ||n-r||e.canonical.y-t.canonical.y||e.canonical.x-t.canonical.x}function It(t){return\\\"raster\\\"===t||\\\"image\\\"===t||\\\"video\\\"===t}function Ot(){return new t.window.Worker(Zi.workerUrl)}Ct.maxOverzooming=10,Ct.maxUnderzooming=3;var zt=\\\"mapboxgl_preloaded_worker_pool\\\",Dt=function(){this.active={}};Dt.prototype.acquire=function(t){if(!this.workers)for(this.workers=[];this.workers.length<Dt.workerCount;)this.workers.push(new Ot);return this.active[t]=!0,this.workers.slice()},Dt.prototype.release=function(t){delete this.active[t],0===this.numActive()&&(this.workers.forEach((function(t){t.terminate()})),this.workers=null)},Dt.prototype.isPreloaded=function(){return!!this.active[zt]},Dt.prototype.numActive=function(){return Object.keys(this.active).length};var Rt,Ft=Math.floor(t.browser.hardwareConcurrency/2);function Bt(){return Rt||(Rt=new Dt),Rt}function Nt(e,r){var n={};for(var i in e)\\\"ref\\\"!==i&&(n[i]=e[i]);return t.refProperties.forEach((function(t){t in r&&(n[t]=r[t])})),n}function jt(t){t=t.slice();for(var e=Object.create(null),r=0;r<t.length;r++)e[t[r].id]=t[r];for(var n=0;n<t.length;n++)\\\"ref\\\"in t[n]&&(t[n]=Nt(t[n],e[t[n].ref]));return t}Dt.workerCount=Math.max(Math.min(Ft,6),1);var Ut={setStyle:\\\"setStyle\\\",addLayer:\\\"addLayer\\\",removeLayer:\\\"removeLayer\\\",setPaintProperty:\\\"setPaintProperty\\\",setLayoutProperty:\\\"setLayoutProperty\\\",setFilter:\\\"setFilter\\\",addSource:\\\"addSource\\\",removeSource:\\\"removeSource\\\",setGeoJSONSourceData:\\\"setGeoJSONSourceData\\\",setLayerZoomRange:\\\"setLayerZoomRange\\\",setLayerProperty:\\\"setLayerProperty\\\",setCenter:\\\"setCenter\\\",setZoom:\\\"setZoom\\\",setBearing:\\\"setBearing\\\",setPitch:\\\"setPitch\\\",setSprite:\\\"setSprite\\\",setGlyphs:\\\"setGlyphs\\\",setTransition:\\\"setTransition\\\",setLight:\\\"setLight\\\"};function Vt(t,e,r){r.push({command:Ut.addSource,args:[t,e[t]]})}function qt(t,e,r){e.push({command:Ut.removeSource,args:[t]}),r[t]=!0}function Ht(t,e,r,n){qt(t,r,n),Vt(t,e,r)}function Gt(e,r,n){var i;for(i in e[n])if(e[n].hasOwnProperty(i)&&\\\"data\\\"!==i&&!t.deepEqual(e[n][i],r[n][i]))return!1;for(i in r[n])if(r[n].hasOwnProperty(i)&&\\\"data\\\"!==i&&!t.deepEqual(e[n][i],r[n][i]))return!1;return!0}function Yt(e,r,n,i,a,o){var s;for(s in r=r||{},e=e||{})e.hasOwnProperty(s)&&(t.deepEqual(e[s],r[s])||n.push({command:o,args:[i,s,r[s],a]}));for(s in r)r.hasOwnProperty(s)&&!e.hasOwnProperty(s)&&(t.deepEqual(e[s],r[s])||n.push({command:o,args:[i,s,r[s],a]}))}function Wt(t){return t.id}function Xt(t,e){return t[e.id]=e,t}function Zt(e,r){if(!e)return[{command:Ut.setStyle,args:[r]}];var n=[];try{if(!t.deepEqual(e.version,r.version))return[{command:Ut.setStyle,args:[r]}];t.deepEqual(e.center,r.center)||n.push({command:Ut.setCenter,args:[r.center]}),t.deepEqual(e.zoom,r.zoom)||n.push({command:Ut.setZoom,args:[r.zoom]}),t.deepEqual(e.bearing,r.bearing)||n.push({command:Ut.setBearing,args:[r.bearing]}),t.deepEqual(e.pitch,r.pitch)||n.push({command:Ut.setPitch,args:[r.pitch]}),t.deepEqual(e.sprite,r.sprite)||n.push({command:Ut.setSprite,args:[r.sprite]}),t.deepEqual(e.glyphs,r.glyphs)||n.push({command:Ut.setGlyphs,args:[r.glyphs]}),t.deepEqual(e.transition,r.transition)||n.push({command:Ut.setTransition,args:[r.transition]}),t.deepEqual(e.light,r.light)||n.push({command:Ut.setLight,args:[r.light]});var i={},a=[];!function(e,r,n,i){var a;for(a in r=r||{},e=e||{})e.hasOwnProperty(a)&&(r.hasOwnProperty(a)||qt(a,n,i));for(a in r)r.hasOwnProperty(a)&&(e.hasOwnProperty(a)?t.deepEqual(e[a],r[a])||(\\\"geojson\\\"===e[a].type&&\\\"geojson\\\"===r[a].type&&Gt(e,r,a)?n.push({command:Ut.setGeoJSONSourceData,args:[a,r[a].data]}):Ht(a,r,n,i)):Vt(a,r,n))}(e.sources,r.sources,a,i);var o=[];e.layers&&e.layers.forEach((function(t){i[t.source]?n.push({command:Ut.removeLayer,args:[t.id]}):o.push(t)})),n=n.concat(a),function(e,r,n){r=r||[];var i,a,o,s,l,c,u,f=(e=e||[]).map(Wt),h=r.map(Wt),p=e.reduce(Xt,{}),d=r.reduce(Xt,{}),m=f.slice(),g=Object.create(null);for(i=0,a=0;i<f.length;i++)o=f[i],d.hasOwnProperty(o)?a++:(n.push({command:Ut.removeLayer,args:[o]}),m.splice(m.indexOf(o,a),1));for(i=0,a=0;i<h.length;i++)o=h[h.length-1-i],m[m.length-1-i]!==o&&(p.hasOwnProperty(o)?(n.push({command:Ut.removeLayer,args:[o]}),m.splice(m.lastIndexOf(o,m.length-a),1)):a++,c=m[m.length-i],n.push({command:Ut.addLayer,args:[d[o],c]}),m.splice(m.length-i,0,o),g[o]=!0);for(i=0;i<h.length;i++)if(s=p[o=h[i]],l=d[o],!g[o]&&!t.deepEqual(s,l))if(t.deepEqual(s.source,l.source)&&t.deepEqual(s[\\\"source-layer\\\"],l[\\\"source-layer\\\"])&&t.deepEqual(s.type,l.type)){for(u in Yt(s.layout,l.layout,n,o,null,Ut.setLayoutProperty),Yt(s.paint,l.paint,n,o,null,Ut.setPaintProperty),t.deepEqual(s.filter,l.filter)||n.push({command:Ut.setFilter,args:[o,l.filter]}),t.deepEqual(s.minzoom,l.minzoom)&&t.deepEqual(s.maxzoom,l.maxzoom)||n.push({command:Ut.setLayerZoomRange,args:[o,l.minzoom,l.maxzoom]}),s)s.hasOwnProperty(u)&&\\\"layout\\\"!==u&&\\\"paint\\\"!==u&&\\\"filter\\\"!==u&&\\\"metadata\\\"!==u&&\\\"minzoom\\\"!==u&&\\\"maxzoom\\\"!==u&&(0===u.indexOf(\\\"paint.\\\")?Yt(s[u],l[u],n,o,u.slice(6),Ut.setPaintProperty):t.deepEqual(s[u],l[u])||n.push({command:Ut.setLayerProperty,args:[o,u,l[u]]}));for(u in l)l.hasOwnProperty(u)&&!s.hasOwnProperty(u)&&\\\"layout\\\"!==u&&\\\"paint\\\"!==u&&\\\"filter\\\"!==u&&\\\"metadata\\\"!==u&&\\\"minzoom\\\"!==u&&\\\"maxzoom\\\"!==u&&(0===u.indexOf(\\\"paint.\\\")?Yt(s[u],l[u],n,o,u.slice(6),Ut.setPaintProperty):t.deepEqual(s[u],l[u])||n.push({command:Ut.setLayerProperty,args:[o,u,l[u]]}))}else n.push({command:Ut.removeLayer,args:[o]}),c=m[m.lastIndexOf(o)+1],n.push({command:Ut.addLayer,args:[l,c]})}(o,r.layers,n)}catch(t){console.warn(\\\"Unable to compute style diff:\\\",t),n=[{command:Ut.setStyle,args:[r]}]}return n}var Jt=function(t,e){this.reset(t,e)};Jt.prototype.reset=function(t,e){this.points=t||[],this._distances=[0];for(var r=1;r<this.points.length;r++)this._distances[r]=this._distances[r-1]+this.points[r].dist(this.points[r-1]);this.length=this._distances[this._distances.length-1],this.padding=Math.min(e||0,.5*this.length),this.paddedLength=this.length-2*this.padding},Jt.prototype.lerp=function(e){if(1===this.points.length)return this.points[0];e=t.clamp(e,0,1);for(var r=1,n=this._distances[r],i=e*this.paddedLength+this.padding;n<i&&r<this._distances.length;)n=this._distances[++r];var a=r-1,o=this._distances[a],s=n-o,l=s>0?(i-o)/s:0;return this.points[a].mult(1-l).add(this.points[r].mult(l))};var Kt=function(t,e,r){var n=this.boxCells=[],i=this.circleCells=[];this.xCellCount=Math.ceil(t/r),this.yCellCount=Math.ceil(e/r);for(var a=0;a<this.xCellCount*this.yCellCount;a++)n.push([]),i.push([]);this.circleKeys=[],this.boxKeys=[],this.bboxes=[],this.circles=[],this.width=t,this.height=e,this.xScale=this.xCellCount/t,this.yScale=this.yCellCount/e,this.boxUid=0,this.circleUid=0};function Qt(e,r,n,i,a){var o=t.create();return r?(t.scale(o,o,[1/a,1/a,1]),n||t.rotateZ(o,o,i.angle)):t.multiply(o,i.labelPlaneMatrix,e),o}function $t(e,r,n,i,a){if(r){var o=t.clone(e);return t.scale(o,o,[a,a,1]),n||t.rotateZ(o,o,-i.angle),o}return i.glCoordMatrix}function te(e,r){var n=[e.x,e.y,0,1];fe(n,n,r);var i=n[3];return{point:new t.Point(n[0]/i,n[1]/i),signedDistanceFromCamera:i}}function ee(t,e){return.5+t/e*.5}function re(t,e){var r=t[0]/t[3],n=t[1]/t[3];return r>=-e[0]&&r<=e[0]&&n>=-e[1]&&n<=e[1]}function ne(e,r,n,i,a,o,s,l){var c=i?e.textSizeData:e.iconSizeData,u=t.evaluateSizeForZoom(c,n.transform.zoom),f=[256/n.width*2+1,256/n.height*2+1],h=i?e.text.dynamicLayoutVertexArray:e.icon.dynamicLayoutVertexArray;h.clear();for(var p=e.lineVertexArray,d=i?e.text.placedSymbolArray:e.icon.placedSymbolArray,m=n.transform.width/n.transform.height,g=!1,v=0;v<d.length;v++){var y=d.get(v);if(y.hidden||y.writingMode===t.WritingMode.vertical&&!g)ue(y.numGlyphs,h);else{g=!1;var x=[y.anchorX,y.anchorY,0,1];if(t.transformMat4(x,x,r),re(x,f)){var b=x[3],_=ee(n.transform.cameraToCenterDistance,b),w=t.evaluateSizeForFeature(c,u,y),T=s?w/_:w*_,k=new t.Point(y.anchorX,y.anchorY),M=te(k,a).point,A={},S=oe(y,T,!1,l,r,a,o,e.glyphOffsetArray,p,h,M,k,A,m);g=S.useVertical,(S.notEnoughRoom||g||S.needsFlipping&&oe(y,T,!0,l,r,a,o,e.glyphOffsetArray,p,h,M,k,A,m).notEnoughRoom)&&ue(y.numGlyphs,h)}else ue(y.numGlyphs,h)}}i?e.text.dynamicLayoutVertexBuffer.updateData(h):e.icon.dynamicLayoutVertexBuffer.updateData(h)}function ie(t,e,r,n,i,a,o,s,l,c,u){var f=s.glyphStartIndex+s.numGlyphs,h=s.lineStartIndex,p=s.lineStartIndex+s.lineLength,d=e.getoffsetX(s.glyphStartIndex),m=e.getoffsetX(f-1),g=le(t*d,r,n,i,a,o,s.segment,h,p,l,c,u);if(!g)return null;var v=le(t*m,r,n,i,a,o,s.segment,h,p,l,c,u);return v?{first:g,last:v}:null}function ae(e,r,n,i){if(e===t.WritingMode.horizontal&&Math.abs(n.y-r.y)>Math.abs(n.x-r.x)*i)return{useVertical:!0};return(e===t.WritingMode.vertical?r.y<n.y:r.x>n.x)?{needsFlipping:!0}:null}function oe(e,r,n,i,a,o,s,l,c,u,f,h,p,d){var m,g=r/24,v=e.lineOffsetX*g,y=e.lineOffsetY*g;if(e.numGlyphs>1){var x=e.glyphStartIndex+e.numGlyphs,b=e.lineStartIndex,_=e.lineStartIndex+e.lineLength,w=ie(g,l,v,y,n,f,h,e,c,o,p);if(!w)return{notEnoughRoom:!0};var T=te(w.first.point,s).point,k=te(w.last.point,s).point;if(i&&!n){var M=ae(e.writingMode,T,k,d);if(M)return M}m=[w.first];for(var A=e.glyphStartIndex+1;A<x-1;A++)m.push(le(g*l.getoffsetX(A),v,y,n,f,h,e.segment,b,_,c,o,p));m.push(w.last)}else{if(i&&!n){var S=te(h,a).point,E=e.lineStartIndex+e.segment+1,L=new t.Point(c.getx(E),c.gety(E)),C=te(L,a),P=C.signedDistanceFromCamera>0?C.point:se(h,L,S,1,a),I=ae(e.writingMode,S,P,d);if(I)return I}var O=le(g*l.getoffsetX(e.glyphStartIndex),v,y,n,f,h,e.segment,e.lineStartIndex,e.lineStartIndex+e.lineLength,c,o,p);if(!O)return{notEnoughRoom:!0};m=[O]}for(var z=0,D=m;z<D.length;z+=1){var R=D[z];t.addDynamicAttributes(u,R.point,R.angle)}return{}}function se(t,e,r,n,i){var a=te(t.add(t.sub(e)._unit()),i).point,o=r.sub(a);return r.add(o._mult(n/o.mag()))}function le(e,r,n,i,a,o,s,l,c,u,f,h){var p=i?e-r:e+r,d=p>0?1:-1,m=0;i&&(d*=-1,m=Math.PI),d<0&&(m+=Math.PI);for(var g=d>0?l+s:l+s+1,v=a,y=a,x=0,b=0,_=Math.abs(p),w=[];x+b<=_;){if((g+=d)<l||g>=c)return null;if(y=v,w.push(v),void 0===(v=h[g])){var T=new t.Point(u.getx(g),u.gety(g)),k=te(T,f);if(k.signedDistanceFromCamera>0)v=h[g]=k.point;else{var M=g-d;v=se(0===x?o:new t.Point(u.getx(M),u.gety(M)),T,y,_-x+1,f)}}x+=b,b=y.dist(v)}var A=(_-x)/b,S=v.sub(y),E=S.mult(A)._add(y);E._add(S._unit()._perp()._mult(n*d));var L=m+Math.atan2(v.y-y.y,v.x-y.x);return w.push(E),{point:E,angle:L,path:w}}Kt.prototype.keysLength=function(){return this.boxKeys.length+this.circleKeys.length},Kt.prototype.insert=function(t,e,r,n,i){this._forEachCell(e,r,n,i,this._insertBoxCell,this.boxUid++),this.boxKeys.push(t),this.bboxes.push(e),this.bboxes.push(r),this.bboxes.push(n),this.bboxes.push(i)},Kt.prototype.insertCircle=function(t,e,r,n){this._forEachCell(e-n,r-n,e+n,r+n,this._insertCircleCell,this.circleUid++),this.circleKeys.push(t),this.circles.push(e),this.circles.push(r),this.circles.push(n)},Kt.prototype._insertBoxCell=function(t,e,r,n,i,a){this.boxCells[i].push(a)},Kt.prototype._insertCircleCell=function(t,e,r,n,i,a){this.circleCells[i].push(a)},Kt.prototype._query=function(t,e,r,n,i,a){if(r<0||t>this.width||n<0||e>this.height)return!i&&[];var o=[];if(t<=0&&e<=0&&this.width<=r&&this.height<=n){if(i)return!0;for(var s=0;s<this.boxKeys.length;s++)o.push({key:this.boxKeys[s],x1:this.bboxes[4*s],y1:this.bboxes[4*s+1],x2:this.bboxes[4*s+2],y2:this.bboxes[4*s+3]});for(var l=0;l<this.circleKeys.length;l++){var c=this.circles[3*l],u=this.circles[3*l+1],f=this.circles[3*l+2];o.push({key:this.circleKeys[l],x1:c-f,y1:u-f,x2:c+f,y2:u+f})}return a?o.filter(a):o}var h={hitTest:i,seenUids:{box:{},circle:{}}};return this._forEachCell(t,e,r,n,this._queryCell,o,h,a),i?o.length>0:o},Kt.prototype._queryCircle=function(t,e,r,n,i){var a=t-r,o=t+r,s=e-r,l=e+r;if(o<0||a>this.width||l<0||s>this.height)return!n&&[];var c=[],u={hitTest:n,circle:{x:t,y:e,radius:r},seenUids:{box:{},circle:{}}};return this._forEachCell(a,s,o,l,this._queryCellCircle,c,u,i),n?c.length>0:c},Kt.prototype.query=function(t,e,r,n,i){return this._query(t,e,r,n,!1,i)},Kt.prototype.hitTest=function(t,e,r,n,i){return this._query(t,e,r,n,!0,i)},Kt.prototype.hitTestCircle=function(t,e,r,n){return this._queryCircle(t,e,r,!0,n)},Kt.prototype._queryCell=function(t,e,r,n,i,a,o,s){var l=o.seenUids,c=this.boxCells[i];if(null!==c)for(var u=this.bboxes,f=0,h=c;f<h.length;f+=1){var p=h[f];if(!l.box[p]){l.box[p]=!0;var d=4*p;if(t<=u[d+2]&&e<=u[d+3]&&r>=u[d+0]&&n>=u[d+1]&&(!s||s(this.boxKeys[p]))){if(o.hitTest)return a.push(!0),!0;a.push({key:this.boxKeys[p],x1:u[d],y1:u[d+1],x2:u[d+2],y2:u[d+3]})}}}var m=this.circleCells[i];if(null!==m)for(var g=this.circles,v=0,y=m;v<y.length;v+=1){var x=y[v];if(!l.circle[x]){l.circle[x]=!0;var b=3*x;if(this._circleAndRectCollide(g[b],g[b+1],g[b+2],t,e,r,n)&&(!s||s(this.circleKeys[x]))){if(o.hitTest)return a.push(!0),!0;var _=g[b],w=g[b+1],T=g[b+2];a.push({key:this.circleKeys[x],x1:_-T,y1:w-T,x2:_+T,y2:w+T})}}}},Kt.prototype._queryCellCircle=function(t,e,r,n,i,a,o,s){var l=o.circle,c=o.seenUids,u=this.boxCells[i];if(null!==u)for(var f=this.bboxes,h=0,p=u;h<p.length;h+=1){var d=p[h];if(!c.box[d]){c.box[d]=!0;var m=4*d;if(this._circleAndRectCollide(l.x,l.y,l.radius,f[m+0],f[m+1],f[m+2],f[m+3])&&(!s||s(this.boxKeys[d])))return a.push(!0),!0}}var g=this.circleCells[i];if(null!==g)for(var v=this.circles,y=0,x=g;y<x.length;y+=1){var b=x[y];if(!c.circle[b]){c.circle[b]=!0;var _=3*b;if(this._circlesCollide(v[_],v[_+1],v[_+2],l.x,l.y,l.radius)&&(!s||s(this.circleKeys[b])))return a.push(!0),!0}}},Kt.prototype._forEachCell=function(t,e,r,n,i,a,o,s){for(var l=this._convertToXCellCoord(t),c=this._convertToYCellCoord(e),u=this._convertToXCellCoord(r),f=this._convertToYCellCoord(n),h=l;h<=u;h++)for(var p=c;p<=f;p++){var d=this.xCellCount*p+h;if(i.call(this,t,e,r,n,d,a,o,s))return}},Kt.prototype._convertToXCellCoord=function(t){return Math.max(0,Math.min(this.xCellCount-1,Math.floor(t*this.xScale)))},Kt.prototype._convertToYCellCoord=function(t){return Math.max(0,Math.min(this.yCellCount-1,Math.floor(t*this.yScale)))},Kt.prototype._circlesCollide=function(t,e,r,n,i,a){var o=n-t,s=i-e,l=r+a;return l*l>o*o+s*s},Kt.prototype._circleAndRectCollide=function(t,e,r,n,i,a,o){var s=(a-n)/2,l=Math.abs(t-(n+s));if(l>s+r)return!1;var c=(o-i)/2,u=Math.abs(e-(i+c));if(u>c+r)return!1;if(l<=s||u<=c)return!0;var f=l-s,h=u-c;return f*f+h*h<=r*r};var ce=new Float32Array([-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0]);function ue(t,e){for(var r=0;r<t;r++){var n=e.length;e.resize(n+4),e.float32.set(ce,3*n)}}function fe(t,e,r){var n=e[0],i=e[1];return t[0]=r[0]*n+r[4]*i+r[12],t[1]=r[1]*n+r[5]*i+r[13],t[3]=r[3]*n+r[7]*i+r[15],t}var he=function(t,e,r){void 0===e&&(e=new Kt(t.width+200,t.height+200,25)),void 0===r&&(r=new Kt(t.width+200,t.height+200,25)),this.transform=t,this.grid=e,this.ignoredGrid=r,this.pitchfactor=Math.cos(t._pitch)*t.cameraToCenterDistance,this.screenRightBoundary=t.width+100,this.screenBottomBoundary=t.height+100,this.gridRightBoundary=t.width+200,this.gridBottomBoundary=t.height+200};function pe(e,r,n){return r*(t.EXTENT/(e.tileSize*Math.pow(2,n-e.tileID.overscaledZ)))}he.prototype.placeCollisionBox=function(t,e,r,n,i){var a=this.projectAndGetPerspectiveRatio(n,t.anchorPointX,t.anchorPointY),o=r*a.perspectiveRatio,s=t.x1*o+a.point.x,l=t.y1*o+a.point.y,c=t.x2*o+a.point.x,u=t.y2*o+a.point.y;return!this.isInsideGrid(s,l,c,u)||!e&&this.grid.hitTest(s,l,c,u,i)?{box:[],offscreen:!1}:{box:[s,l,c,u],offscreen:this.isOffscreen(s,l,c,u)}},he.prototype.placeCollisionCircles=function(e,r,n,i,a,o,s,l,c,u,f,h,p){var d=[],m=new t.Point(r.anchorX,r.anchorY),g=te(m,o),v=ee(this.transform.cameraToCenterDistance,g.signedDistanceFromCamera),y=(u?a/v:a*v)/t.ONE_EM,x=te(m,s).point,b=ie(y,i,r.lineOffsetX*y,r.lineOffsetY*y,!1,x,m,r,n,s,{}),_=!1,w=!1,T=!0;if(b){for(var k=.5*h*v+p,M=new t.Point(-100,-100),A=new t.Point(this.screenRightBoundary,this.screenBottomBoundary),S=new Jt,E=b.first,L=b.last,C=[],P=E.path.length-1;P>=1;P--)C.push(E.path[P]);for(var I=1;I<L.path.length;I++)C.push(L.path[I]);var O=2.5*k;if(l){var z=C.map((function(t){return te(t,l)}));C=z.some((function(t){return t.signedDistanceFromCamera<=0}))?[]:z.map((function(t){return t.point}))}var D=[];if(C.length>0){for(var R=C[0].clone(),F=C[0].clone(),B=1;B<C.length;B++)R.x=Math.min(R.x,C[B].x),R.y=Math.min(R.y,C[B].y),F.x=Math.max(F.x,C[B].x),F.y=Math.max(F.y,C[B].y);D=R.x>=M.x&&F.x<=A.x&&R.y>=M.y&&F.y<=A.y?[C]:F.x<M.x||R.x>A.x||F.y<M.y||R.y>A.y?[]:t.clipLine([C],M.x,M.y,A.x,A.y)}for(var N=0,j=D;N<j.length;N+=1){var U=j[N];S.reset(U,.25*k);var V=0;V=S.length<=.5*k?1:Math.ceil(S.paddedLength/O)+1;for(var q=0;q<V;q++){var H=q/Math.max(V-1,1),G=S.lerp(H),Y=G.x+100,W=G.y+100;d.push(Y,W,k,0);var X=Y-k,Z=W-k,J=Y+k,K=W+k;if(T=T&&this.isOffscreen(X,Z,J,K),w=w||this.isInsideGrid(X,Z,J,K),!e&&this.grid.hitTestCircle(Y,W,k,f)&&(_=!0,!c))return{circles:[],offscreen:!1,collisionDetected:_}}}}return{circles:!c&&_||!w?[]:d,offscreen:T,collisionDetected:_}},he.prototype.queryRenderedSymbols=function(e){if(0===e.length||0===this.grid.keysLength()&&0===this.ignoredGrid.keysLength())return{};for(var r=[],n=1/0,i=1/0,a=-1/0,o=-1/0,s=0,l=e;s<l.length;s+=1){var c=l[s],u=new t.Point(c.x+100,c.y+100);n=Math.min(n,u.x),i=Math.min(i,u.y),a=Math.max(a,u.x),o=Math.max(o,u.y),r.push(u)}for(var f={},h={},p=0,d=this.grid.query(n,i,a,o).concat(this.ignoredGrid.query(n,i,a,o));p<d.length;p+=1){var m=d[p],g=m.key;if(void 0===f[g.bucketInstanceId]&&(f[g.bucketInstanceId]={}),!f[g.bucketInstanceId][g.featureIndex]){var v=[new t.Point(m.x1,m.y1),new t.Point(m.x2,m.y1),new t.Point(m.x2,m.y2),new t.Point(m.x1,m.y2)];t.polygonIntersectsPolygon(r,v)&&(f[g.bucketInstanceId][g.featureIndex]=!0,void 0===h[g.bucketInstanceId]&&(h[g.bucketInstanceId]=[]),h[g.bucketInstanceId].push(g.featureIndex))}}return h},he.prototype.insertCollisionBox=function(t,e,r,n,i){var a={bucketInstanceId:r,featureIndex:n,collisionGroupID:i};(e?this.ignoredGrid:this.grid).insert(a,t[0],t[1],t[2],t[3])},he.prototype.insertCollisionCircles=function(t,e,r,n,i){for(var a=e?this.ignoredGrid:this.grid,o={bucketInstanceId:r,featureIndex:n,collisionGroupID:i},s=0;s<t.length;s+=4)a.insertCircle(o,t[s],t[s+1],t[s+2])},he.prototype.projectAndGetPerspectiveRatio=function(e,r,n){var i=[r,n,0,1];return fe(i,i,e),{point:new t.Point((i[0]/i[3]+1)/2*this.transform.width+100,(-i[1]/i[3]+1)/2*this.transform.height+100),perspectiveRatio:.5+this.transform.cameraToCenterDistance/i[3]*.5}},he.prototype.isOffscreen=function(t,e,r,n){return r<100||t>=this.screenRightBoundary||n<100||e>this.screenBottomBoundary},he.prototype.isInsideGrid=function(t,e,r,n){return r>=0&&t<this.gridRightBoundary&&n>=0&&e<this.gridBottomBoundary},he.prototype.getViewportMatrix=function(){var e=t.identity([]);return t.translate(e,e,[-100,-100,0]),e};var de=function(t,e,r,n){this.opacity=t?Math.max(0,Math.min(1,t.opacity+(t.placed?e:-e))):n&&r?1:0,this.placed=r};de.prototype.isHidden=function(){return 0===this.opacity&&!this.placed};var me=function(t,e,r,n,i){this.text=new de(t?t.text:null,e,r,i),this.icon=new de(t?t.icon:null,e,n,i)};me.prototype.isHidden=function(){return this.text.isHidden()&&this.icon.isHidden()};var ge=function(t,e,r){this.text=t,this.icon=e,this.skipFade=r},ve=function(){this.invProjMatrix=t.create(),this.viewportMatrix=t.create(),this.circles=[]},ye=function(t,e,r,n,i){this.bucketInstanceId=t,this.featureIndex=e,this.sourceLayerIndex=r,this.bucketIndex=n,this.tileID=i},xe=function(t){this.crossSourceCollisions=t,this.maxGroupID=0,this.collisionGroups={}};function be(e,r,n,i,a){var o=t.getAnchorAlignment(e),s=-(o.horizontalAlign-.5)*r,l=-(o.verticalAlign-.5)*n,c=t.evaluateVariableOffset(e,i);return new t.Point(s+c[0]*a,l+c[1]*a)}function _e(e,r,n,i,a,o){var s=e.x1,l=e.x2,c=e.y1,u=e.y2,f=e.anchorPointX,h=e.anchorPointY,p=new t.Point(r,n);return i&&p._rotate(a?o:-o),{x1:s+p.x,y1:c+p.y,x2:l+p.x,y2:u+p.y,anchorPointX:f,anchorPointY:h}}xe.prototype.get=function(t){if(this.crossSourceCollisions)return{ID:0,predicate:null};if(!this.collisionGroups[t]){var e=++this.maxGroupID;this.collisionGroups[t]={ID:e,predicate:function(t){return t.collisionGroupID===e}}}return this.collisionGroups[t]};var we=function(t,e,r,n){this.transform=t.clone(),this.collisionIndex=new he(this.transform),this.placements={},this.opacities={},this.variableOffsets={},this.stale=!1,this.commitTime=0,this.fadeDuration=e,this.retainedQueryData={},this.collisionGroups=new xe(r),this.collisionCircleArrays={},this.prevPlacement=n,n&&(n.prevPlacement=void 0),this.placedOrientations={}};function Te(t,e,r,n,i){t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0)}we.prototype.getBucketParts=function(e,r,n,i){var a=n.getBucket(r),o=n.latestFeatureIndex;if(a&&o&&r.id===a.layerIds[0]){var s=n.collisionBoxArray,l=a.layers[0].layout,c=Math.pow(2,this.transform.zoom-n.tileID.overscaledZ),u=n.tileSize/t.EXTENT,f=this.transform.calculatePosMatrix(n.tileID.toUnwrapped()),h=\\\"map\\\"===l.get(\\\"text-pitch-alignment\\\"),p=\\\"map\\\"===l.get(\\\"text-rotation-alignment\\\"),d=pe(n,1,this.transform.zoom),m=Qt(f,h,p,this.transform,d),g=null;if(h){var v=$t(f,h,p,this.transform,d);g=t.multiply([],this.transform.labelPlaneMatrix,v)}this.retainedQueryData[a.bucketInstanceId]=new ye(a.bucketInstanceId,o,a.sourceLayerIndex,a.index,n.tileID);var y={bucket:a,layout:l,posMatrix:f,textLabelPlaneMatrix:m,labelToScreenMatrix:g,scale:c,textPixelRatio:u,holdingForFade:n.holdingForFade(),collisionBoxArray:s,partiallyEvaluatedTextSize:t.evaluateSizeForZoom(a.textSizeData,this.transform.zoom),collisionGroup:this.collisionGroups.get(a.sourceID)};if(i)for(var x=0,b=a.sortKeyRanges;x<b.length;x+=1){var _=b[x],w=_.sortKey,T=_.symbolInstanceStart,k=_.symbolInstanceEnd;e.push({sortKey:w,symbolInstanceStart:T,symbolInstanceEnd:k,parameters:y})}else e.push({symbolInstanceStart:0,symbolInstanceEnd:a.symbolInstances.length,parameters:y})}},we.prototype.attemptAnchorPlacement=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d){var m,g=[f.textOffset0,f.textOffset1],v=be(t,r,n,g,i),y=this.collisionIndex.placeCollisionBox(_e(e,v.x,v.y,a,o,this.transform.angle),u,s,l,c.predicate);if(d&&0===this.collisionIndex.placeCollisionBox(_e(d,v.x,v.y,a,o,this.transform.angle),u,s,l,c.predicate).box.length)return;if(y.box.length>0)return this.prevPlacement&&this.prevPlacement.variableOffsets[f.crossTileID]&&this.prevPlacement.placements[f.crossTileID]&&this.prevPlacement.placements[f.crossTileID].text&&(m=this.prevPlacement.variableOffsets[f.crossTileID].anchor),this.variableOffsets[f.crossTileID]={textOffset:g,width:r,height:n,anchor:t,textBoxScale:i,prevAnchor:m},this.markUsedJustification(h,t,f,p),h.allowVerticalPlacement&&(this.markUsedOrientation(h,p,f),this.placedOrientations[f.crossTileID]=p),{shift:v,placedGlyphBoxes:y}},we.prototype.placeLayerBucketPart=function(e,r,n){var i=this,a=e.parameters,o=a.bucket,s=a.layout,l=a.posMatrix,c=a.textLabelPlaneMatrix,u=a.labelToScreenMatrix,f=a.textPixelRatio,h=a.holdingForFade,p=a.collisionBoxArray,d=a.partiallyEvaluatedTextSize,m=a.collisionGroup,g=s.get(\\\"text-optional\\\"),v=s.get(\\\"icon-optional\\\"),y=s.get(\\\"text-allow-overlap\\\"),x=s.get(\\\"icon-allow-overlap\\\"),b=\\\"map\\\"===s.get(\\\"text-rotation-alignment\\\"),_=\\\"map\\\"===s.get(\\\"text-pitch-alignment\\\"),w=\\\"none\\\"!==s.get(\\\"icon-text-fit\\\"),T=\\\"viewport-y\\\"===s.get(\\\"symbol-z-order\\\"),k=y&&(x||!o.hasIconData()||v),M=x&&(y||!o.hasTextData()||g);!o.collisionArrays&&p&&o.deserializeCollisionBoxes(p);var A=function(e,a){if(!r[e.crossTileID])if(h)i.placements[e.crossTileID]=new ge(!1,!1,!1);else{var p,T=!1,A=!1,S=!0,E=null,L={box:null,offscreen:null},C={box:null,offscreen:null},P=null,I=null,O=0,z=0,D=0;a.textFeatureIndex?O=a.textFeatureIndex:e.useRuntimeCollisionCircles&&(O=e.featureIndex),a.verticalTextFeatureIndex&&(z=a.verticalTextFeatureIndex);var R=a.textBox;if(R){var F=function(r){var n=t.WritingMode.horizontal;if(o.allowVerticalPlacement&&!r&&i.prevPlacement){var a=i.prevPlacement.placedOrientations[e.crossTileID];a&&(i.placedOrientations[e.crossTileID]=a,n=a,i.markUsedOrientation(o,n,e))}return n},B=function(r,n){if(o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&a.verticalTextBox)for(var i=0,s=o.writingModes;i<s.length;i+=1){if(s[i]===t.WritingMode.vertical?(L=n(),C=L):L=r(),L&&L.box&&L.box.length)break}else L=r()};if(s.get(\\\"text-variable-anchor\\\")){var N=s.get(\\\"text-variable-anchor\\\");if(i.prevPlacement&&i.prevPlacement.variableOffsets[e.crossTileID]){var j=i.prevPlacement.variableOffsets[e.crossTileID];N.indexOf(j.anchor)>0&&(N=N.filter((function(t){return t!==j.anchor}))).unshift(j.anchor)}var U=function(t,r,n){for(var a=t.x2-t.x1,s=t.y2-t.y1,c=e.textBoxScale,u=w&&!x?r:null,h={box:[],offscreen:!1},p=y?2*N.length:N.length,d=0;d<p;++d){var g=N[d%N.length],v=d>=N.length,k=i.attemptAnchorPlacement(g,t,a,s,c,b,_,f,l,m,v,e,o,n,u);if(k&&(h=k.placedGlyphBoxes)&&h.box&&h.box.length){T=!0,E=k.shift;break}}return h};B((function(){return U(R,a.iconBox,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox,n=L&&L.box&&L.box.length;return o.allowVerticalPlacement&&!n&&e.numVerticalGlyphVertices>0&&r?U(r,a.verticalIconBox,t.WritingMode.vertical):{box:null,offscreen:null}})),L&&(T=L.box,S=L.offscreen);var V=F(L&&L.box);if(!T&&i.prevPlacement){var q=i.prevPlacement.variableOffsets[e.crossTileID];q&&(i.variableOffsets[e.crossTileID]=q,i.markUsedJustification(o,q.anchor,e,V))}}else{var H=function(t,r){var n=i.collisionIndex.placeCollisionBox(t,y,f,l,m.predicate);return n&&n.box&&n.box.length&&(i.markUsedOrientation(o,r,e),i.placedOrientations[e.crossTileID]=r),n};B((function(){return H(R,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox;return o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&r?H(r,t.WritingMode.vertical):{box:null,offscreen:null}})),F(L&&L.box&&L.box.length)}}if(T=(p=L)&&p.box&&p.box.length>0,S=p&&p.offscreen,e.useRuntimeCollisionCircles){var G=o.text.placedSymbolArray.get(e.centerJustifiedTextSymbolIndex),Y=t.evaluateSizeForFeature(o.textSizeData,d,G),W=s.get(\\\"text-padding\\\"),X=e.collisionCircleDiameter;P=i.collisionIndex.placeCollisionCircles(y,G,o.lineVertexArray,o.glyphOffsetArray,Y,l,c,u,n,_,m.predicate,X,W),T=y||P.circles.length>0&&!P.collisionDetected,S=S&&P.offscreen}if(a.iconFeatureIndex&&(D=a.iconFeatureIndex),a.iconBox){var Z=function(t){var e=w&&E?_e(t,E.x,E.y,b,_,i.transform.angle):t;return i.collisionIndex.placeCollisionBox(e,x,f,l,m.predicate)};A=C&&C.box&&C.box.length&&a.verticalIconBox?(I=Z(a.verticalIconBox)).box.length>0:(I=Z(a.iconBox)).box.length>0,S=S&&I.offscreen}var J=g||0===e.numHorizontalGlyphVertices&&0===e.numVerticalGlyphVertices,K=v||0===e.numIconVertices;if(J||K?K?J||(A=A&&T):T=A&&T:A=T=A&&T,T&&p&&p.box&&(C&&C.box&&z?i.collisionIndex.insertCollisionBox(p.box,s.get(\\\"text-ignore-placement\\\"),o.bucketInstanceId,z,m.ID):i.collisionIndex.insertCollisionBox(p.box,s.get(\\\"text-ignore-placement\\\"),o.bucketInstanceId,O,m.ID)),A&&I&&i.collisionIndex.insertCollisionBox(I.box,s.get(\\\"icon-ignore-placement\\\"),o.bucketInstanceId,D,m.ID),P&&(T&&i.collisionIndex.insertCollisionCircles(P.circles,s.get(\\\"text-ignore-placement\\\"),o.bucketInstanceId,O,m.ID),n)){var Q=o.bucketInstanceId,$=i.collisionCircleArrays[Q];void 0===$&&($=i.collisionCircleArrays[Q]=new ve);for(var tt=0;tt<P.circles.length;tt+=4)$.circles.push(P.circles[tt+0]),$.circles.push(P.circles[tt+1]),$.circles.push(P.circles[tt+2]),$.circles.push(P.collisionDetected?1:0)}i.placements[e.crossTileID]=new ge(T||k,A||M,S||o.justReloaded),r[e.crossTileID]=!0}};if(T)for(var S=o.getSortedSymbolIndexes(this.transform.angle),E=S.length-1;E>=0;--E){var L=S[E];A(o.symbolInstances.get(L),o.collisionArrays[L])}else for(var C=e.symbolInstanceStart;C<e.symbolInstanceEnd;C++)A(o.symbolInstances.get(C),o.collisionArrays[C]);if(n&&o.bucketInstanceId in this.collisionCircleArrays){var P=this.collisionCircleArrays[o.bucketInstanceId];t.invert(P.invProjMatrix,l),P.viewportMatrix=this.collisionIndex.getViewportMatrix()}o.justReloaded=!1},we.prototype.markUsedJustification=function(e,r,n,i){var a,o={left:n.leftJustifiedTextSymbolIndex,center:n.centerJustifiedTextSymbolIndex,right:n.rightJustifiedTextSymbolIndex};a=i===t.WritingMode.vertical?n.verticalPlacedTextSymbolIndex:o[t.getAnchorJustification(r)];for(var s=0,l=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex,n.verticalPlacedTextSymbolIndex];s<l.length;s+=1){var c=l[s];c>=0&&(e.text.placedSymbolArray.get(c).crossTileID=a>=0&&c!==a?0:n.crossTileID)}},we.prototype.markUsedOrientation=function(e,r,n){for(var i=r===t.WritingMode.horizontal||r===t.WritingMode.horizontalOnly?r:0,a=r===t.WritingMode.vertical?r:0,o=0,s=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex];o<s.length;o+=1){var l=s[o];e.text.placedSymbolArray.get(l).placedOrientation=i}n.verticalPlacedTextSymbolIndex&&(e.text.placedSymbolArray.get(n.verticalPlacedTextSymbolIndex).placedOrientation=a)},we.prototype.commit=function(t){this.commitTime=t,this.zoomAtLastRecencyCheck=this.transform.zoom;var e=this.prevPlacement,r=!1;this.prevZoomAdjustment=e?e.zoomAdjustment(this.transform.zoom):0;var n=e?e.symbolFadeChange(t):1,i=e?e.opacities:{},a=e?e.variableOffsets:{},o=e?e.placedOrientations:{};for(var s in this.placements){var l=this.placements[s],c=i[s];c?(this.opacities[s]=new me(c,n,l.text,l.icon),r=r||l.text!==c.text.placed||l.icon!==c.icon.placed):(this.opacities[s]=new me(null,n,l.text,l.icon,l.skipFade),r=r||l.text||l.icon)}for(var u in i){var f=i[u];if(!this.opacities[u]){var h=new me(f,n,!1,!1);h.isHidden()||(this.opacities[u]=h,r=r||f.text.placed||f.icon.placed)}}for(var p in a)this.variableOffsets[p]||!this.opacities[p]||this.opacities[p].isHidden()||(this.variableOffsets[p]=a[p]);for(var d in o)this.placedOrientations[d]||!this.opacities[d]||this.opacities[d].isHidden()||(this.placedOrientations[d]=o[d]);r?this.lastPlacementChangeTime=t:\\\"number\\\"!=typeof this.lastPlacementChangeTime&&(this.lastPlacementChangeTime=e?e.lastPlacementChangeTime:t)},we.prototype.updateLayerOpacities=function(t,e){for(var r={},n=0,i=e;n<i.length;n+=1){var a=i[n],o=a.getBucket(t);o&&a.latestFeatureIndex&&t.id===o.layerIds[0]&&this.updateBucketOpacities(o,r,a.collisionBoxArray)}},we.prototype.updateBucketOpacities=function(e,r,n){var i=this;e.hasTextData()&&e.text.opacityVertexArray.clear(),e.hasIconData()&&e.icon.opacityVertexArray.clear(),e.hasIconCollisionBoxData()&&e.iconCollisionBox.collisionVertexArray.clear(),e.hasTextCollisionBoxData()&&e.textCollisionBox.collisionVertexArray.clear();var a=e.layers[0].layout,o=new me(null,0,!1,!1,!0),s=a.get(\\\"text-allow-overlap\\\"),l=a.get(\\\"icon-allow-overlap\\\"),c=a.get(\\\"text-variable-anchor\\\"),u=\\\"map\\\"===a.get(\\\"text-rotation-alignment\\\"),f=\\\"map\\\"===a.get(\\\"text-pitch-alignment\\\"),h=\\\"none\\\"!==a.get(\\\"icon-text-fit\\\"),p=new me(null,0,s&&(l||!e.hasIconData()||a.get(\\\"icon-optional\\\")),l&&(s||!e.hasTextData()||a.get(\\\"text-optional\\\")),!0);!e.collisionArrays&&n&&(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData())&&e.deserializeCollisionBoxes(n);for(var d=function(t,e,r){for(var n=0;n<e/4;n++)t.opacityVertexArray.emplaceBack(r)},m=function(n){var a=e.symbolInstances.get(n),s=a.numHorizontalGlyphVertices,l=a.numVerticalGlyphVertices,m=a.crossTileID,g=r[m],v=i.opacities[m];g?v=o:v||(v=p,i.opacities[m]=v),r[m]=!0;var y=s>0||l>0,x=a.numIconVertices>0,b=i.placedOrientations[a.crossTileID],_=b===t.WritingMode.vertical,w=b===t.WritingMode.horizontal||b===t.WritingMode.horizontalOnly;if(y){var T=Pe(v.text),k=_?Ie:T;d(e.text,s,k);var M=w?Ie:T;d(e.text,l,M);var A=v.text.isHidden();[a.rightJustifiedTextSymbolIndex,a.centerJustifiedTextSymbolIndex,a.leftJustifiedTextSymbolIndex].forEach((function(t){t>=0&&(e.text.placedSymbolArray.get(t).hidden=A||_?1:0)})),a.verticalPlacedTextSymbolIndex>=0&&(e.text.placedSymbolArray.get(a.verticalPlacedTextSymbolIndex).hidden=A||w?1:0);var S=i.variableOffsets[a.crossTileID];S&&i.markUsedJustification(e,S.anchor,a,b);var E=i.placedOrientations[a.crossTileID];E&&(i.markUsedJustification(e,\\\"left\\\",a,E),i.markUsedOrientation(e,E,a))}if(x){var L=Pe(v.icon),C=!(h&&a.verticalPlacedIconSymbolIndex&&_);if(a.placedIconSymbolIndex>=0){var P=C?L:Ie;d(e.icon,a.numIconVertices,P),e.icon.placedSymbolArray.get(a.placedIconSymbolIndex).hidden=v.icon.isHidden()}if(a.verticalPlacedIconSymbolIndex>=0){var I=C?Ie:L;d(e.icon,a.numVerticalIconVertices,I),e.icon.placedSymbolArray.get(a.verticalPlacedIconSymbolIndex).hidden=v.icon.isHidden()}}if(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData()){var O=e.collisionArrays[n];if(O){var z=new t.Point(0,0);if(O.textBox||O.verticalTextBox){var D=!0;if(c){var R=i.variableOffsets[m];R?(z=be(R.anchor,R.width,R.height,R.textOffset,R.textBoxScale),u&&z._rotate(f?i.transform.angle:-i.transform.angle)):D=!1}O.textBox&&Te(e.textCollisionBox.collisionVertexArray,v.text.placed,!D||_,z.x,z.y),O.verticalTextBox&&Te(e.textCollisionBox.collisionVertexArray,v.text.placed,!D||w,z.x,z.y)}var F=Boolean(!w&&O.verticalIconBox);O.iconBox&&Te(e.iconCollisionBox.collisionVertexArray,v.icon.placed,F,h?z.x:0,h?z.y:0),O.verticalIconBox&&Te(e.iconCollisionBox.collisionVertexArray,v.icon.placed,!F,h?z.x:0,h?z.y:0)}}},g=0;g<e.symbolInstances.length;g++)m(g);if(e.sortFeatures(this.transform.angle),this.retainedQueryData[e.bucketInstanceId]&&(this.retainedQueryData[e.bucketInstanceId].featureSortOrder=e.featureSortOrder),e.hasTextData()&&e.text.opacityVertexBuffer&&e.text.opacityVertexBuffer.updateData(e.text.opacityVertexArray),e.hasIconData()&&e.icon.opacityVertexBuffer&&e.icon.opacityVertexBuffer.updateData(e.icon.opacityVertexArray),e.hasIconCollisionBoxData()&&e.iconCollisionBox.collisionVertexBuffer&&e.iconCollisionBox.collisionVertexBuffer.updateData(e.iconCollisionBox.collisionVertexArray),e.hasTextCollisionBoxData()&&e.textCollisionBox.collisionVertexBuffer&&e.textCollisionBox.collisionVertexBuffer.updateData(e.textCollisionBox.collisionVertexArray),e.bucketInstanceId in this.collisionCircleArrays){var v=this.collisionCircleArrays[e.bucketInstanceId];e.placementInvProjMatrix=v.invProjMatrix,e.placementViewportMatrix=v.viewportMatrix,e.collisionCircleArray=v.circles,delete this.collisionCircleArrays[e.bucketInstanceId]}},we.prototype.symbolFadeChange=function(t){return 0===this.fadeDuration?1:(t-this.commitTime)/this.fadeDuration+this.prevZoomAdjustment},we.prototype.zoomAdjustment=function(t){return Math.max(0,(this.transform.zoom-t)/1.5)},we.prototype.hasTransitions=function(t){return this.stale||t-this.lastPlacementChangeTime<this.fadeDuration},we.prototype.stillRecent=function(t,e){var r=this.zoomAtLastRecencyCheck===e?1-this.zoomAdjustment(e):1;return this.zoomAtLastRecencyCheck=e,this.commitTime+this.fadeDuration*r>t},we.prototype.setStale=function(){this.stale=!0};var ke=Math.pow(2,25),Me=Math.pow(2,24),Ae=Math.pow(2,17),Se=Math.pow(2,16),Ee=Math.pow(2,9),Le=Math.pow(2,8),Ce=Math.pow(2,1);function Pe(t){if(0===t.opacity&&!t.placed)return 0;if(1===t.opacity&&t.placed)return 4294967295;var e=t.placed?1:0,r=Math.floor(127*t.opacity);return r*ke+e*Me+r*Ae+e*Se+r*Ee+e*Le+r*Ce+e}var Ie=0,Oe=function(t){this._sortAcrossTiles=\\\"viewport-y\\\"!==t.layout.get(\\\"symbol-z-order\\\")&&void 0!==t.layout.get(\\\"symbol-sort-key\\\").constantOr(1),this._currentTileIndex=0,this._currentPartIndex=0,this._seenCrossTileIDs={},this._bucketParts=[]};Oe.prototype.continuePlacement=function(t,e,r,n,i){for(var a=this._bucketParts;this._currentTileIndex<t.length;){var o=t[this._currentTileIndex];if(e.getBucketParts(a,n,o,this._sortAcrossTiles),this._currentTileIndex++,i())return!0}for(this._sortAcrossTiles&&(this._sortAcrossTiles=!1,a.sort((function(t,e){return t.sortKey-e.sortKey})));this._currentPartIndex<a.length;){var s=a[this._currentPartIndex];if(e.placeLayerBucketPart(s,this._seenCrossTileIDs,r),this._currentPartIndex++,i())return!0}return!1};var ze=function(t,e,r,n,i,a,o){this.placement=new we(t,i,a,o),this._currentPlacementIndex=e.length-1,this._forceFullPlacement=r,this._showCollisionBoxes=n,this._done=!1};ze.prototype.isDone=function(){return this._done},ze.prototype.continuePlacement=function(e,r,n){for(var i=this,a=t.browser.now(),o=function(){var e=t.browser.now()-a;return!i._forceFullPlacement&&e>2};this._currentPlacementIndex>=0;){var s=r[e[this._currentPlacementIndex]],l=this.placement.collisionIndex.transform.zoom;if(\\\"symbol\\\"===s.type&&(!s.minzoom||s.minzoom<=l)&&(!s.maxzoom||s.maxzoom>l)){if(this._inProgressLayer||(this._inProgressLayer=new Oe(s)),this._inProgressLayer.continuePlacement(n[s.source],this.placement,this._showCollisionBoxes,s,o))return;delete this._inProgressLayer}this._currentPlacementIndex--}this._done=!0},ze.prototype.commit=function(t){return this.placement.commit(t),this.placement};var De=512/t.EXTENT/2,Re=function(t,e,r){this.tileID=t,this.indexedSymbolInstances={},this.bucketInstanceId=r;for(var n=0;n<e.length;n++){var i=e.get(n),a=i.key;this.indexedSymbolInstances[a]||(this.indexedSymbolInstances[a]=[]),this.indexedSymbolInstances[a].push({crossTileID:i.crossTileID,coord:this.getScaledCoordinates(i,t)})}};Re.prototype.getScaledCoordinates=function(e,r){var n=r.canonical.z-this.tileID.canonical.z,i=De/Math.pow(2,n);return{x:Math.floor((r.canonical.x*t.EXTENT+e.anchorX)*i),y:Math.floor((r.canonical.y*t.EXTENT+e.anchorY)*i)}},Re.prototype.findMatches=function(t,e,r){for(var n=this.tileID.canonical.z<e.canonical.z?1:Math.pow(2,this.tileID.canonical.z-e.canonical.z),i=0;i<t.length;i++){var a=t.get(i);if(!a.crossTileID){var o=this.indexedSymbolInstances[a.key];if(o)for(var s=this.getScaledCoordinates(a,e),l=0,c=o;l<c.length;l+=1){var u=c[l];if(Math.abs(u.coord.x-s.x)<=n&&Math.abs(u.coord.y-s.y)<=n&&!r[u.crossTileID]){r[u.crossTileID]=!0,a.crossTileID=u.crossTileID;break}}}}};var Fe=function(){this.maxCrossTileID=0};Fe.prototype.generate=function(){return++this.maxCrossTileID};var Be=function(){this.indexes={},this.usedCrossTileIDs={},this.lng=0};Be.prototype.handleWrapJump=function(t){var e=Math.round((t-this.lng)/360);if(0!==e)for(var r in this.indexes){var n=this.indexes[r],i={};for(var a in n){var o=n[a];o.tileID=o.tileID.unwrapTo(o.tileID.wrap+e),i[o.tileID.key]=o}this.indexes[r]=i}this.lng=t},Be.prototype.addBucket=function(t,e,r){if(this.indexes[t.overscaledZ]&&this.indexes[t.overscaledZ][t.key]){if(this.indexes[t.overscaledZ][t.key].bucketInstanceId===e.bucketInstanceId)return!1;this.removeBucketCrossTileIDs(t.overscaledZ,this.indexes[t.overscaledZ][t.key])}for(var n=0;n<e.symbolInstances.length;n++){e.symbolInstances.get(n).crossTileID=0}this.usedCrossTileIDs[t.overscaledZ]||(this.usedCrossTileIDs[t.overscaledZ]={});var i=this.usedCrossTileIDs[t.overscaledZ];for(var a in this.indexes){var o=this.indexes[a];if(Number(a)>t.overscaledZ)for(var s in o){var l=o[s];l.tileID.isChildOf(t)&&l.findMatches(e.symbolInstances,t,i)}else{var c=o[t.scaledTo(Number(a)).key];c&&c.findMatches(e.symbolInstances,t,i)}}for(var u=0;u<e.symbolInstances.length;u++){var f=e.symbolInstances.get(u);f.crossTileID||(f.crossTileID=r.generate(),i[f.crossTileID]=!0)}return void 0===this.indexes[t.overscaledZ]&&(this.indexes[t.overscaledZ]={}),this.indexes[t.overscaledZ][t.key]=new Re(t,e.symbolInstances,e.bucketInstanceId),!0},Be.prototype.removeBucketCrossTileIDs=function(t,e){for(var r in e.indexedSymbolInstances)for(var n=0,i=e.indexedSymbolInstances[r];n<i.length;n+=1){var a=i[n];delete this.usedCrossTileIDs[t][a.crossTileID]}},Be.prototype.removeStaleBuckets=function(t){var e=!1;for(var r in this.indexes){var n=this.indexes[r];for(var i in n)t[n[i].bucketInstanceId]||(this.removeBucketCrossTileIDs(r,n[i]),delete n[i],e=!0)}return e};var Ne=function(){this.layerIndexes={},this.crossTileIDs=new Fe,this.maxBucketInstanceId=0,this.bucketsInCurrentPlacement={}};Ne.prototype.addLayer=function(t,e,r){var n=this.layerIndexes[t.id];void 0===n&&(n=this.layerIndexes[t.id]=new Be);var i=!1,a={};n.handleWrapJump(r);for(var o=0,s=e;o<s.length;o+=1){var l=s[o],c=l.getBucket(t);c&&t.id===c.layerIds[0]&&(c.bucketInstanceId||(c.bucketInstanceId=++this.maxBucketInstanceId),n.addBucket(l.tileID,c,this.crossTileIDs)&&(i=!0),a[c.bucketInstanceId]=!0)}return n.removeStaleBuckets(a)&&(i=!0),i},Ne.prototype.pruneUnusedLayers=function(t){var e={};for(var r in t.forEach((function(t){e[t]=!0})),this.layerIndexes)e[r]||delete this.layerIndexes[r]};var je=function(e,r){return t.emitValidationErrors(e,r&&r.filter((function(t){return\\\"source.canvas\\\"!==t.identifier})))},Ue=t.pick(Ut,[\\\"addLayer\\\",\\\"removeLayer\\\",\\\"setPaintProperty\\\",\\\"setLayoutProperty\\\",\\\"setFilter\\\",\\\"addSource\\\",\\\"removeSource\\\",\\\"setLayerZoomRange\\\",\\\"setLight\\\",\\\"setTransition\\\",\\\"setGeoJSONSourceData\\\"]),Ve=t.pick(Ut,[\\\"setCenter\\\",\\\"setZoom\\\",\\\"setBearing\\\",\\\"setPitch\\\"]),qe=function(){var e={},r=t.styleSpec.$version;for(var n in t.styleSpec.$root){var i=t.styleSpec.$root[n];if(i.required){var a=null;null!=(a=\\\"version\\\"===n?r:\\\"array\\\"===i.type?[]:{})&&(e[n]=a)}}return e}(),He=function(e){function r(n,i){var a=this;void 0===i&&(i={}),e.call(this),this.map=n,this.dispatcher=new k(Bt(),this),this.imageManager=new h,this.imageManager.setEventedParent(this),this.glyphManager=new x(n._requestManager,i.localIdeographFontFamily),this.lineAtlas=new T(256,512),this.crossTileSymbolIndex=new Ne,this._layers={},this._serializedLayers={},this._order=[],this.sourceCaches={},this.zoomHistory=new t.ZoomHistory,this._loaded=!1,this._availableImages=[],this._resetUpdates(),this.dispatcher.broadcast(\\\"setReferrer\\\",t.getReferrer());var o=this;this._rtlTextPluginCallback=r.registerForPluginStateChange((function(e){var r={pluginStatus:e.pluginStatus,pluginURL:e.pluginURL};o.dispatcher.broadcast(\\\"syncRTLPluginState\\\",r,(function(e,r){if((t.triggerPluginCompletionEvent(e),r)&&r.every((function(t){return t})))for(var n in o.sourceCaches)o.sourceCaches[n].reload()}))})),this.on(\\\"data\\\",(function(t){if(\\\"source\\\"===t.dataType&&\\\"metadata\\\"===t.sourceDataType){var e=a.sourceCaches[t.sourceId];if(e){var r=e.getSource();if(r&&r.vectorLayerIds)for(var n in a._layers){var i=a._layers[n];i.source===r.id&&a._validateLayer(i)}}}}))}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.loadURL=function(e,r){var n=this;void 0===r&&(r={}),this.fire(new t.Event(\\\"dataloading\\\",{dataType:\\\"style\\\"}));var i=\\\"boolean\\\"==typeof r.validate?r.validate:!t.isMapboxURL(e);e=this.map._requestManager.normalizeStyleURL(e,r.accessToken);var a=this.map._requestManager.transformRequest(e,t.ResourceType.Style);this._request=t.getJSON(a,(function(e,r){n._request=null,e?n.fire(new t.ErrorEvent(e)):r&&n._load(r,i)}))},r.prototype.loadJSON=function(e,r){var n=this;void 0===r&&(r={}),this.fire(new t.Event(\\\"dataloading\\\",{dataType:\\\"style\\\"})),this._request=t.browser.frame((function(){n._request=null,n._load(e,!1!==r.validate)}))},r.prototype.loadEmpty=function(){this.fire(new t.Event(\\\"dataloading\\\",{dataType:\\\"style\\\"})),this._load(qe,!1)},r.prototype._load=function(e,r){if(!r||!je(this,t.validateStyle(e))){for(var n in this._loaded=!0,this.stylesheet=e,e.sources)this.addSource(n,e.sources[n],{validate:!1});e.sprite?this._loadSprite(e.sprite):this.imageManager.setLoaded(!0),this.glyphManager.setURL(e.glyphs);var i=jt(this.stylesheet.layers);this._order=i.map((function(t){return t.id})),this._layers={},this._serializedLayers={};for(var a=0,o=i;a<o.length;a+=1){var s=o[a];(s=t.createStyleLayer(s)).setEventedParent(this,{layer:{id:s.id}}),this._layers[s.id]=s,this._serializedLayers[s.id]=s.serialize()}this.dispatcher.broadcast(\\\"setLayers\\\",this._serializeLayers(this._order)),this.light=new w(this.stylesheet.light),this.fire(new t.Event(\\\"data\\\",{dataType:\\\"style\\\"})),this.fire(new t.Event(\\\"style.load\\\"))}},r.prototype._loadSprite=function(e){var r=this;this._spriteRequest=function(e,r,n){var i,a,o,s=t.browser.devicePixelRatio>1?\\\"@2x\\\":\\\"\\\",l=t.getJSON(r.transformRequest(r.normalizeSpriteURL(e,s,\\\".json\\\"),t.ResourceType.SpriteJSON),(function(t,e){l=null,o||(o=t,i=e,u())})),c=t.getImage(r.transformRequest(r.normalizeSpriteURL(e,s,\\\".png\\\"),t.ResourceType.SpriteImage),(function(t,e){c=null,o||(o=t,a=e,u())}));function u(){if(o)n(o);else if(i&&a){var e=t.browser.getImageData(a),r={};for(var s in i){var l=i[s],c=l.width,u=l.height,f=l.x,h=l.y,p=l.sdf,d=l.pixelRatio,m=l.stretchX,g=l.stretchY,v=l.content,y=new t.RGBAImage({width:c,height:u});t.RGBAImage.copy(e,y,{x:f,y:h},{x:0,y:0},{width:c,height:u}),r[s]={data:y,pixelRatio:d,sdf:p,stretchX:m,stretchY:g,content:v}}n(null,r)}}return{cancel:function(){l&&(l.cancel(),l=null),c&&(c.cancel(),c=null)}}}(e,this.map._requestManager,(function(e,n){if(r._spriteRequest=null,e)r.fire(new t.ErrorEvent(e));else if(n)for(var i in n)r.imageManager.addImage(i,n[i]);r.imageManager.setLoaded(!0),r._availableImages=r.imageManager.listImages(),r.dispatcher.broadcast(\\\"setImages\\\",r._availableImages),r.fire(new t.Event(\\\"data\\\",{dataType:\\\"style\\\"}))}))},r.prototype._validateLayer=function(e){var r=this.sourceCaches[e.source];if(r){var n=e.sourceLayer;if(n){var i=r.getSource();(\\\"geojson\\\"===i.type||i.vectorLayerIds&&-1===i.vectorLayerIds.indexOf(n))&&this.fire(new t.ErrorEvent(new Error('Source layer \\\"'+n+'\\\" does not exist on source \\\"'+i.id+'\\\" as specified by style layer \\\"'+e.id+'\\\"')))}}},r.prototype.loaded=function(){if(!this._loaded)return!1;if(Object.keys(this._updatedSources).length)return!1;for(var t in this.sourceCaches)if(!this.sourceCaches[t].loaded())return!1;return!!this.imageManager.isLoaded()},r.prototype._serializeLayers=function(t){for(var e=[],r=0,n=t;r<n.length;r+=1){var i=n[r],a=this._layers[i];\\\"custom\\\"!==a.type&&e.push(a.serialize())}return e},r.prototype.hasTransitions=function(){if(this.light&&this.light.hasTransition())return!0;for(var t in this.sourceCaches)if(this.sourceCaches[t].hasTransition())return!0;for(var e in this._layers)if(this._layers[e].hasTransition())return!0;return!1},r.prototype._checkLoaded=function(){if(!this._loaded)throw new Error(\\\"Style is not done loading\\\")},r.prototype.update=function(e){if(this._loaded){var r=this._changed;if(this._changed){var n=Object.keys(this._updatedLayers),i=Object.keys(this._removedLayers);for(var a in(n.length||i.length)&&this._updateWorkerLayers(n,i),this._updatedSources){var o=this._updatedSources[a];\\\"reload\\\"===o?this._reloadSource(a):\\\"clear\\\"===o&&this._clearSource(a)}for(var s in this._updateTilesForChangedImages(),this._updatedPaintProps)this._layers[s].updateTransitions(e);this.light.updateTransitions(e),this._resetUpdates()}for(var l in this.sourceCaches)this.sourceCaches[l].used=!1;for(var c=0,u=this._order;c<u.length;c+=1){var f=u[c],h=this._layers[f];h.recalculate(e,this._availableImages),!h.isHidden(e.zoom)&&h.source&&(this.sourceCaches[h.source].used=!0)}this.light.recalculate(e),this.z=e.zoom,r&&this.fire(new t.Event(\\\"data\\\",{dataType:\\\"style\\\"}))}},r.prototype._updateTilesForChangedImages=function(){var t=Object.keys(this._changedImages);if(t.length){for(var e in this.sourceCaches)this.sourceCaches[e].reloadTilesForDependencies([\\\"icons\\\",\\\"patterns\\\"],t);this._changedImages={}}},r.prototype._updateWorkerLayers=function(t,e){this.dispatcher.broadcast(\\\"updateLayers\\\",{layers:this._serializeLayers(t),removedIds:e})},r.prototype._resetUpdates=function(){this._changed=!1,this._updatedLayers={},this._removedLayers={},this._updatedSources={},this._updatedPaintProps={},this._changedImages={}},r.prototype.setState=function(e){var r=this;if(this._checkLoaded(),je(this,t.validateStyle(e)))return!1;(e=t.clone$1(e)).layers=jt(e.layers);var n=Zt(this.serialize(),e).filter((function(t){return!(t.command in Ve)}));if(0===n.length)return!1;var i=n.filter((function(t){return!(t.command in Ue)}));if(i.length>0)throw new Error(\\\"Unimplemented: \\\"+i.map((function(t){return t.command})).join(\\\", \\\")+\\\".\\\");return n.forEach((function(t){\\\"setTransition\\\"!==t.command&&r[t.command].apply(r,t.args)})),this.stylesheet=e,!0},r.prototype.addImage=function(e,r){if(this.getImage(e))return this.fire(new t.ErrorEvent(new Error(\\\"An image with this name already exists.\\\")));this.imageManager.addImage(e,r),this._availableImages=this.imageManager.listImages(),this._changedImages[e]=!0,this._changed=!0,this.fire(new t.Event(\\\"data\\\",{dataType:\\\"style\\\"}))},r.prototype.updateImage=function(t,e){this.imageManager.updateImage(t,e)},r.prototype.getImage=function(t){return this.imageManager.getImage(t)},r.prototype.removeImage=function(e){if(!this.getImage(e))return this.fire(new t.ErrorEvent(new Error(\\\"No image with this name exists.\\\")));this.imageManager.removeImage(e),this._availableImages=this.imageManager.listImages(),this._changedImages[e]=!0,this._changed=!0,this.fire(new t.Event(\\\"data\\\",{dataType:\\\"style\\\"}))},r.prototype.listImages=function(){return this._checkLoaded(),this.imageManager.listImages()},r.prototype.addSource=function(e,r,n){var i=this;if(void 0===n&&(n={}),this._checkLoaded(),void 0!==this.sourceCaches[e])throw new Error(\\\"There is already a source with this ID\\\");if(!r.type)throw new Error(\\\"The type property must be defined, but the only the following properties were given: \\\"+Object.keys(r).join(\\\", \\\")+\\\".\\\");if(!([\\\"vector\\\",\\\"raster\\\",\\\"geojson\\\",\\\"video\\\",\\\"image\\\"].indexOf(r.type)>=0)||!this._validate(t.validateStyle.source,\\\"sources.\\\"+e,r,null,n)){this.map&&this.map._collectResourceTiming&&(r.collectResourceTiming=!0);var a=this.sourceCaches[e]=new Ct(e,r,this.dispatcher);a.style=this,a.setEventedParent(this,(function(){return{isSourceLoaded:i.loaded(),source:a.serialize(),sourceId:e}})),a.onAdd(this.map),this._changed=!0}},r.prototype.removeSource=function(e){if(this._checkLoaded(),void 0===this.sourceCaches[e])throw new Error(\\\"There is no source with this ID\\\");for(var r in this._layers)if(this._layers[r].source===e)return this.fire(new t.ErrorEvent(new Error('Source \\\"'+e+'\\\" cannot be removed while layer \\\"'+r+'\\\" is using it.')));var n=this.sourceCaches[e];delete this.sourceCaches[e],delete this._updatedSources[e],n.fire(new t.Event(\\\"data\\\",{sourceDataType:\\\"metadata\\\",dataType:\\\"source\\\",sourceId:e})),n.setEventedParent(null),n.clearTiles(),n.onRemove&&n.onRemove(this.map),this._changed=!0},r.prototype.setGeoJSONSourceData=function(t,e){this._checkLoaded(),this.sourceCaches[t].getSource().setData(e),this._changed=!0},r.prototype.getSource=function(t){return this.sourceCaches[t]&&this.sourceCaches[t].getSource()},r.prototype.addLayer=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var i=e.id;if(this.getLayer(i))this.fire(new t.ErrorEvent(new Error('Layer with id \\\"'+i+'\\\" already exists on this map')));else{var a;if(\\\"custom\\\"===e.type){if(je(this,t.validateCustomStyleLayer(e)))return;a=t.createStyleLayer(e)}else{if(\\\"object\\\"==typeof e.source&&(this.addSource(i,e.source),e=t.clone$1(e),e=t.extend(e,{source:i})),this._validate(t.validateStyle.layer,\\\"layers.\\\"+i,e,{arrayIndex:-1},n))return;a=t.createStyleLayer(e),this._validateLayer(a),a.setEventedParent(this,{layer:{id:i}}),this._serializedLayers[a.id]=a.serialize()}var o=r?this._order.indexOf(r):this._order.length;if(r&&-1===o)this.fire(new t.ErrorEvent(new Error('Layer with id \\\"'+r+'\\\" does not exist on this map.')));else{if(this._order.splice(o,0,i),this._layerOrderChanged=!0,this._layers[i]=a,this._removedLayers[i]&&a.source&&\\\"custom\\\"!==a.type){var s=this._removedLayers[i];delete this._removedLayers[i],s.type!==a.type?this._updatedSources[a.source]=\\\"clear\\\":(this._updatedSources[a.source]=\\\"reload\\\",this.sourceCaches[a.source].pause())}this._updateLayer(a),a.onAdd&&a.onAdd(this.map)}}},r.prototype.moveLayer=function(e,r){if(this._checkLoaded(),this._changed=!0,this._layers[e]){if(e!==r){var n=this._order.indexOf(e);this._order.splice(n,1);var i=r?this._order.indexOf(r):this._order.length;r&&-1===i?this.fire(new t.ErrorEvent(new Error('Layer with id \\\"'+r+'\\\" does not exist on this map.'))):(this._order.splice(i,0,e),this._layerOrderChanged=!0)}}else this.fire(new t.ErrorEvent(new Error(\\\"The layer '\\\"+e+\\\"' does not exist in the map's style and cannot be moved.\\\")))},r.prototype.removeLayer=function(e){this._checkLoaded();var r=this._layers[e];if(r){r.setEventedParent(null);var n=this._order.indexOf(e);this._order.splice(n,1),this._layerOrderChanged=!0,this._changed=!0,this._removedLayers[e]=r,delete this._layers[e],delete this._serializedLayers[e],delete this._updatedLayers[e],delete this._updatedPaintProps[e],r.onRemove&&r.onRemove(this.map)}else this.fire(new t.ErrorEvent(new Error(\\\"The layer '\\\"+e+\\\"' does not exist in the map's style and cannot be removed.\\\")))},r.prototype.getLayer=function(t){return this._layers[t]},r.prototype.hasLayer=function(t){return t in this._layers},r.prototype.setLayerZoomRange=function(e,r,n){this._checkLoaded();var i=this.getLayer(e);i?i.minzoom===r&&i.maxzoom===n||(null!=r&&(i.minzoom=r),null!=n&&(i.maxzoom=n),this._updateLayer(i)):this.fire(new t.ErrorEvent(new Error(\\\"The layer '\\\"+e+\\\"' does not exist in the map's style and cannot have zoom extent.\\\")))},r.prototype.setFilter=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var i=this.getLayer(e);if(i){if(!t.deepEqual(i.filter,r))return null==r?(i.filter=void 0,void this._updateLayer(i)):void(this._validate(t.validateStyle.filter,\\\"layers.\\\"+i.id+\\\".filter\\\",r,null,n)||(i.filter=t.clone$1(r),this._updateLayer(i)))}else this.fire(new t.ErrorEvent(new Error(\\\"The layer '\\\"+e+\\\"' does not exist in the map's style and cannot be filtered.\\\")))},r.prototype.getFilter=function(e){return t.clone$1(this.getLayer(e).filter)},r.prototype.setLayoutProperty=function(e,r,n,i){void 0===i&&(i={}),this._checkLoaded();var a=this.getLayer(e);a?t.deepEqual(a.getLayoutProperty(r),n)||(a.setLayoutProperty(r,n,i),this._updateLayer(a)):this.fire(new t.ErrorEvent(new Error(\\\"The layer '\\\"+e+\\\"' does not exist in the map's style and cannot be styled.\\\")))},r.prototype.getLayoutProperty=function(e,r){var n=this.getLayer(e);if(n)return n.getLayoutProperty(r);this.fire(new t.ErrorEvent(new Error(\\\"The layer '\\\"+e+\\\"' does not exist in the map's style.\\\")))},r.prototype.setPaintProperty=function(e,r,n,i){void 0===i&&(i={}),this._checkLoaded();var a=this.getLayer(e);a?t.deepEqual(a.getPaintProperty(r),n)||(a.setPaintProperty(r,n,i)&&this._updateLayer(a),this._changed=!0,this._updatedPaintProps[e]=!0):this.fire(new t.ErrorEvent(new Error(\\\"The layer '\\\"+e+\\\"' does not exist in the map's style and cannot be styled.\\\")))},r.prototype.getPaintProperty=function(t,e){return this.getLayer(t).getPaintProperty(e)},r.prototype.setFeatureState=function(e,r){this._checkLoaded();var n=e.source,i=e.sourceLayer,a=this.sourceCaches[n];if(void 0!==a){var o=a.getSource().type;\\\"geojson\\\"===o&&i?this.fire(new t.ErrorEvent(new Error(\\\"GeoJSON sources cannot have a sourceLayer parameter.\\\"))):\\\"vector\\\"!==o||i?(void 0===e.id&&this.fire(new t.ErrorEvent(new Error(\\\"The feature id parameter must be provided.\\\"))),a.setFeatureState(i,e.id,r)):this.fire(new t.ErrorEvent(new Error(\\\"The sourceLayer parameter must be provided for vector source types.\\\")))}else this.fire(new t.ErrorEvent(new Error(\\\"The source '\\\"+n+\\\"' does not exist in the map's style.\\\")))},r.prototype.removeFeatureState=function(e,r){this._checkLoaded();var n=e.source,i=this.sourceCaches[n];if(void 0!==i){var a=i.getSource().type,o=\\\"vector\\\"===a?e.sourceLayer:void 0;\\\"vector\\\"!==a||o?r&&\\\"string\\\"!=typeof e.id&&\\\"number\\\"!=typeof e.id?this.fire(new t.ErrorEvent(new Error(\\\"A feature id is requred to remove its specific state property.\\\"))):i.removeFeatureState(o,e.id,r):this.fire(new t.ErrorEvent(new Error(\\\"The sourceLayer parameter must be provided for vector source types.\\\")))}else this.fire(new t.ErrorEvent(new Error(\\\"The source '\\\"+n+\\\"' does not exist in the map's style.\\\")))},r.prototype.getFeatureState=function(e){this._checkLoaded();var r=e.source,n=e.sourceLayer,i=this.sourceCaches[r];if(void 0!==i){if(\\\"vector\\\"!==i.getSource().type||n)return void 0===e.id&&this.fire(new t.ErrorEvent(new Error(\\\"The feature id parameter must be provided.\\\"))),i.getFeatureState(n,e.id);this.fire(new t.ErrorEvent(new Error(\\\"The sourceLayer parameter must be provided for vector source types.\\\")))}else this.fire(new t.ErrorEvent(new Error(\\\"The source '\\\"+r+\\\"' does not exist in the map's style.\\\")))},r.prototype.getTransition=function(){return t.extend({duration:300,delay:0},this.stylesheet&&this.stylesheet.transition)},r.prototype.serialize=function(){return t.filterObject({version:this.stylesheet.version,name:this.stylesheet.name,metadata:this.stylesheet.metadata,light:this.stylesheet.light,center:this.stylesheet.center,zoom:this.stylesheet.zoom,bearing:this.stylesheet.bearing,pitch:this.stylesheet.pitch,sprite:this.stylesheet.sprite,glyphs:this.stylesheet.glyphs,transition:this.stylesheet.transition,sources:t.mapObject(this.sourceCaches,(function(t){return t.serialize()})),layers:this._serializeLayers(this._order)},(function(t){return void 0!==t}))},r.prototype._updateLayer=function(t){this._updatedLayers[t.id]=!0,t.source&&!this._updatedSources[t.source]&&\\\"raster\\\"!==this.sourceCaches[t.source].getSource().type&&(this._updatedSources[t.source]=\\\"reload\\\",this.sourceCaches[t.source].pause()),this._changed=!0},r.prototype._flattenAndSortRenderedFeatures=function(t){for(var e=this,r=function(t){return\\\"fill-extrusion\\\"===e._layers[t].type},n={},i=[],a=this._order.length-1;a>=0;a--){var o=this._order[a];if(r(o)){n[o]=a;for(var s=0,l=t;s<l.length;s+=1){var c=l[s][o];if(c)for(var u=0,f=c;u<f.length;u+=1){var h=f[u];i.push(h)}}}}i.sort((function(t,e){return e.intersectionZ-t.intersectionZ}));for(var p=[],d=this._order.length-1;d>=0;d--){var m=this._order[d];if(r(m))for(var g=i.length-1;g>=0;g--){var v=i[g].feature;if(n[v.layer.id]<d)break;p.push(v),i.pop()}else for(var y=0,x=t;y<x.length;y+=1){var b=x[y][m];if(b)for(var _=0,w=b;_<w.length;_+=1){var T=w[_];p.push(T.feature)}}}return p},r.prototype.queryRenderedFeatures=function(e,r,n){r&&r.filter&&this._validate(t.validateStyle.filter,\\\"queryRenderedFeatures.filter\\\",r.filter,null,r);var i={};if(r&&r.layers){if(!Array.isArray(r.layers))return this.fire(new t.ErrorEvent(new Error(\\\"parameters.layers must be an Array.\\\"))),[];for(var a=0,o=r.layers;a<o.length;a+=1){var s=o[a],l=this._layers[s];if(!l)return this.fire(new t.ErrorEvent(new Error(\\\"The layer '\\\"+s+\\\"' does not exist in the map's style and cannot be queried for features.\\\"))),[];i[l.source]=!0}}var c=[];for(var u in r.availableImages=this._availableImages,this.sourceCaches)r.layers&&!i[u]||c.push(F(this.sourceCaches[u],this._layers,this._serializedLayers,e,r,n));return this.placement&&c.push(function(t,e,r,n,i,a,o){for(var s={},l=a.queryRenderedSymbols(n),c=[],u=0,f=Object.keys(l).map(Number);u<f.length;u+=1){var h=f[u];c.push(o[h])}c.sort(B);for(var p=function(){var r=m[d],n=r.featureIndex.lookupSymbolFeatures(l[r.bucketInstanceId],e,r.bucketIndex,r.sourceLayerIndex,i.filter,i.layers,i.availableImages,t);for(var a in n){var o=s[a]=s[a]||[],c=n[a];c.sort((function(t,e){var n=r.featureSortOrder;if(n){var i=n.indexOf(t.featureIndex);return n.indexOf(e.featureIndex)-i}return e.featureIndex-t.featureIndex}));for(var u=0,f=c;u<f.length;u+=1){var h=f[u];o.push(h)}}},d=0,m=c;d<m.length;d+=1)p();var g=function(e){s[e].forEach((function(n){var i=n.feature,a=t[e],o=r[a.source].getFeatureState(i.layer[\\\"source-layer\\\"],i.id);i.source=i.layer.source,i.layer[\\\"source-layer\\\"]&&(i.sourceLayer=i.layer[\\\"source-layer\\\"]),i.state=o}))};for(var v in s)g(v);return s}(this._layers,this._serializedLayers,this.sourceCaches,e,r,this.placement.collisionIndex,this.placement.retainedQueryData)),this._flattenAndSortRenderedFeatures(c)},r.prototype.querySourceFeatures=function(e,r){r&&r.filter&&this._validate(t.validateStyle.filter,\\\"querySourceFeatures.filter\\\",r.filter,null,r);var n=this.sourceCaches[e];return n?function(t,e){for(var r=t.getRenderableIds().map((function(e){return t.getTileByID(e)})),n=[],i={},a=0;a<r.length;a++){var o=r[a],s=o.tileID.canonical.key;i[s]||(i[s]=!0,o.querySourceFeatures(n,e))}return n}(n,r):[]},r.prototype.addSourceType=function(t,e,n){return r.getSourceType(t)?n(new Error('A source type called \\\"'+t+'\\\" already exists.')):(r.setSourceType(t,e),e.workerSourceURL?void this.dispatcher.broadcast(\\\"loadWorkerSource\\\",{name:t,url:e.workerSourceURL},n):n(null,null))},r.prototype.getLight=function(){return this.light.getLight()},r.prototype.setLight=function(e,r){void 0===r&&(r={}),this._checkLoaded();var n=this.light.getLight(),i=!1;for(var a in e)if(!t.deepEqual(e[a],n[a])){i=!0;break}if(i){var o={now:t.browser.now(),transition:t.extend({duration:300,delay:0},this.stylesheet.transition)};this.light.setLight(e,r),this.light.updateTransitions(o)}},r.prototype._validate=function(e,r,n,i,a){return void 0===a&&(a={}),(!a||!1!==a.validate)&&je(this,e.call(t.validateStyle,t.extend({key:r,style:this.serialize(),value:n,styleSpec:t.styleSpec},i)))},r.prototype._remove=function(){for(var e in this._request&&(this._request.cancel(),this._request=null),this._spriteRequest&&(this._spriteRequest.cancel(),this._spriteRequest=null),t.evented.off(\\\"pluginStateChange\\\",this._rtlTextPluginCallback),this._layers){this._layers[e].setEventedParent(null)}for(var r in this.sourceCaches)this.sourceCaches[r].clearTiles(),this.sourceCaches[r].setEventedParent(null);this.imageManager.setEventedParent(null),this.setEventedParent(null),this.dispatcher.remove()},r.prototype._clearSource=function(t){this.sourceCaches[t].clearTiles()},r.prototype._reloadSource=function(t){this.sourceCaches[t].resume(),this.sourceCaches[t].reload()},r.prototype._updateSources=function(t){for(var e in this.sourceCaches)this.sourceCaches[e].update(t)},r.prototype._generateCollisionBoxes=function(){for(var t in this.sourceCaches)this._reloadSource(t)},r.prototype._updatePlacement=function(e,r,n,i,a){void 0===a&&(a=!1);for(var o=!1,s=!1,l={},c=0,u=this._order;c<u.length;c+=1){var f=u[c],h=this._layers[f];if(\\\"symbol\\\"===h.type){if(!l[h.source]){var p=this.sourceCaches[h.source];l[h.source]=p.getRenderableIds(!0).map((function(t){return p.getTileByID(t)})).sort((function(t,e){return e.tileID.overscaledZ-t.tileID.overscaledZ||(t.tileID.isLessThan(e.tileID)?-1:1)}))}var d=this.crossTileSymbolIndex.addLayer(h,l[h.source],e.center.lng);o=o||d}}if(this.crossTileSymbolIndex.pruneUnusedLayers(this._order),((a=a||this._layerOrderChanged||0===n)||!this.pauseablePlacement||this.pauseablePlacement.isDone()&&!this.placement.stillRecent(t.browser.now(),e.zoom))&&(this.pauseablePlacement=new ze(e,this._order,a,r,n,i,this.placement),this._layerOrderChanged=!1),this.pauseablePlacement.isDone()?this.placement.setStale():(this.pauseablePlacement.continuePlacement(this._order,this._layers,l),this.pauseablePlacement.isDone()&&(this.placement=this.pauseablePlacement.commit(t.browser.now()),s=!0),o&&this.pauseablePlacement.placement.setStale()),s||o)for(var m=0,g=this._order;m<g.length;m+=1){var v=g[m],y=this._layers[v];\\\"symbol\\\"===y.type&&this.placement.updateLayerOpacities(y,l[y.source])}return!this.pauseablePlacement.isDone()||this.placement.hasTransitions(t.browser.now())},r.prototype._releaseSymbolFadeTiles=function(){for(var t in this.sourceCaches)this.sourceCaches[t].releaseSymbolFadeTiles()},r.prototype.getImages=function(t,e,r){this.imageManager.getImages(e.icons,r),this._updateTilesForChangedImages();var n=this.sourceCaches[e.source];n&&n.setDependencies(e.tileID.key,e.type,e.icons)},r.prototype.getGlyphs=function(t,e,r){this.glyphManager.getGlyphs(e.stacks,r)},r.prototype.getResource=function(e,r,n){return t.makeRequest(r,n)},r}(t.Evented);He.getSourceType=function(t){return D[t]},He.setSourceType=function(t,e){D[t]=e},He.registerForPluginStateChange=t.registerForPluginStateChange;var Ge=t.createLayout([{name:\\\"a_pos\\\",type:\\\"Int16\\\",components:2}]),Ye=yr(\\\"#ifdef GL_ES\\\\nprecision mediump float;\\\\n#else\\\\n#if !defined(lowp)\\\\n#define lowp\\\\n#endif\\\\n#if !defined(mediump)\\\\n#define mediump\\\\n#endif\\\\n#if !defined(highp)\\\\n#define highp\\\\n#endif\\\\n#endif\\\",\\\"#ifdef GL_ES\\\\nprecision highp float;\\\\n#else\\\\n#if !defined(lowp)\\\\n#define lowp\\\\n#endif\\\\n#if !defined(mediump)\\\\n#define mediump\\\\n#endif\\\\n#if !defined(highp)\\\\n#define highp\\\\n#endif\\\\n#endif\\\\nvec2 unpack_float(const float packedValue) {int packedIntValue=int(packedValue);int v0=packedIntValue/256;return vec2(v0,packedIntValue-v0*256);}vec2 unpack_opacity(const float packedOpacity) {int intOpacity=int(packedOpacity)/2;return vec2(float(intOpacity)/127.0,mod(packedOpacity,2.0));}vec4 decode_color(const vec2 encodedColor) {return vec4(unpack_float(encodedColor[0])/255.0,unpack_float(encodedColor[1])/255.0\\\\n);}float unpack_mix_vec2(const vec2 packedValue,const float t) {return mix(packedValue[0],packedValue[1],t);}vec4 unpack_mix_color(const vec4 packedColors,const float t) {vec4 minColor=decode_color(vec2(packedColors[0],packedColors[1]));vec4 maxColor=decode_color(vec2(packedColors[2],packedColors[3]));return mix(minColor,maxColor,t);}vec2 get_pattern_pos(const vec2 pixel_coord_upper,const vec2 pixel_coord_lower,const vec2 pattern_size,const float tile_units_to_pixels,const vec2 pos) {vec2 offset=mod(mod(mod(pixel_coord_upper,pattern_size)*256.0,pattern_size)*256.0+pixel_coord_lower,pattern_size);return (tile_units_to_pixels*pos+offset)/pattern_size;}\\\"),We=yr(\\\"uniform vec4 u_color;uniform float u_opacity;void main() {gl_FragColor=u_color*u_opacity;\\\\n#ifdef OVERDRAW_INSPECTOR\\\\ngl_FragColor=vec4(1.0);\\\\n#endif\\\\n}\\\",\\\"attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}\\\"),Xe=yr(\\\"uniform vec2 u_pattern_tl_a;uniform vec2 u_pattern_br_a;uniform vec2 u_pattern_tl_b;uniform vec2 u_pattern_br_b;uniform vec2 u_texsize;uniform float u_mix;uniform float u_opacity;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(u_pattern_tl_a/u_texsize,u_pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(u_pattern_tl_b/u_texsize,u_pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_mix)*u_opacity;\\\\n#ifdef OVERDRAW_INSPECTOR\\\\ngl_FragColor=vec4(1.0);\\\\n#endif\\\\n}\\\",\\\"uniform mat4 u_matrix;uniform vec2 u_pattern_size_a;uniform vec2 u_pattern_size_b;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_scale_a;uniform float u_scale_b;uniform float u_tile_units_to_pixels;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_a*u_pattern_size_a,u_tile_units_to_pixels,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_b*u_pattern_size_b,u_tile_units_to_pixels,a_pos);}\\\"),Ze=yr(\\\"varying vec3 v_data;\\\\n#pragma mapbox: define highp vec4 color\\\\n#pragma mapbox: define mediump float radius\\\\n#pragma mapbox: define lowp float blur\\\\n#pragma mapbox: define lowp float opacity\\\\n#pragma mapbox: define highp vec4 stroke_color\\\\n#pragma mapbox: define mediump float stroke_width\\\\n#pragma mapbox: define lowp float stroke_opacity\\\\nvoid main() {\\\\n#pragma mapbox: initialize highp vec4 color\\\\n#pragma mapbox: initialize mediump float radius\\\\n#pragma mapbox: initialize lowp float blur\\\\n#pragma mapbox: initialize lowp float opacity\\\\n#pragma mapbox: initialize highp vec4 stroke_color\\\\n#pragma mapbox: initialize mediump float stroke_width\\\\n#pragma mapbox: initialize lowp float stroke_opacity\\\\nvec2 extrude=v_data.xy;float extrude_length=length(extrude);lowp float antialiasblur=v_data.z;float antialiased_blur=-max(blur,antialiasblur);float opacity_t=smoothstep(0.0,antialiased_blur,extrude_length-1.0);float color_t=stroke_width < 0.01 ? 0.0 : smoothstep(antialiased_blur,0.0,extrude_length-radius/(radius+stroke_width));gl_FragColor=opacity_t*mix(color*opacity,stroke_color*stroke_opacity,color_t);\\\\n#ifdef OVERDRAW_INSPECTOR\\\\ngl_FragColor=vec4(1.0);\\\\n#endif\\\\n}\\\",\\\"uniform mat4 u_matrix;uniform bool u_scale_with_map;uniform bool u_pitch_with_map;uniform vec2 u_extrude_scale;uniform lowp float u_device_pixel_ratio;uniform highp float u_camera_to_center_distance;attribute vec2 a_pos;varying vec3 v_data;\\\\n#pragma mapbox: define highp vec4 color\\\\n#pragma mapbox: define mediump float radius\\\\n#pragma mapbox: define lowp float blur\\\\n#pragma mapbox: define lowp float opacity\\\\n#pragma mapbox: define highp vec4 stroke_color\\\\n#pragma mapbox: define mediump float stroke_width\\\\n#pragma mapbox: define lowp float stroke_opacity\\\\nvoid main(void) {\\\\n#pragma mapbox: initialize highp vec4 color\\\\n#pragma mapbox: initialize mediump float radius\\\\n#pragma mapbox: initialize lowp float blur\\\\n#pragma mapbox: initialize lowp float opacity\\\\n#pragma mapbox: initialize highp vec4 stroke_color\\\\n#pragma mapbox: initialize mediump float stroke_width\\\\n#pragma mapbox: initialize lowp float stroke_opacity\\\\nvec2 extrude=vec2(mod(a_pos,2.0)*2.0-1.0);vec2 circle_center=floor(a_pos*0.5);if (u_pitch_with_map) {vec2 corner_position=circle_center;if (u_scale_with_map) {corner_position+=extrude*(radius+stroke_width)*u_extrude_scale;} else {vec4 projected_center=u_matrix*vec4(circle_center,0,1);corner_position+=extrude*(radius+stroke_width)*u_extrude_scale*(projected_center.w/u_camera_to_center_distance);}gl_Position=u_matrix*vec4(corner_position,0,1);} else {gl_Position=u_matrix*vec4(circle_center,0,1);if (u_scale_with_map) {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*u_camera_to_center_distance;} else {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*gl_Position.w;}}lowp float antialiasblur=1.0/u_device_pixel_ratio/(radius+stroke_width);v_data=vec3(extrude.x,extrude.y,antialiasblur);}\\\"),Je=yr(\\\"void main() {gl_FragColor=vec4(1.0);}\\\",\\\"attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}\\\"),Ke=yr(\\\"uniform highp float u_intensity;varying vec2 v_extrude;\\\\n#pragma mapbox: define highp float weight\\\\n#define GAUSS_COEF 0.3989422804014327\\\\nvoid main() {\\\\n#pragma mapbox: initialize highp float weight\\\\nfloat d=-0.5*3.0*3.0*dot(v_extrude,v_extrude);float val=weight*u_intensity*GAUSS_COEF*exp(d);gl_FragColor=vec4(val,1.0,1.0,1.0);\\\\n#ifdef OVERDRAW_INSPECTOR\\\\ngl_FragColor=vec4(1.0);\\\\n#endif\\\\n}\\\",\\\"uniform mat4 u_matrix;uniform float u_extrude_scale;uniform float u_opacity;uniform float u_intensity;attribute vec2 a_pos;varying vec2 v_extrude;\\\\n#pragma mapbox: define highp float weight\\\\n#pragma mapbox: define mediump float radius\\\\nconst highp float ZERO=1.0/255.0/16.0;\\\\n#define GAUSS_COEF 0.3989422804014327\\\\nvoid main(void) {\\\\n#pragma mapbox: initialize highp float weight\\\\n#pragma mapbox: initialize mediump float radius\\\\nvec2 unscaled_extrude=vec2(mod(a_pos,2.0)*2.0-1.0);float S=sqrt(-2.0*log(ZERO/weight/u_intensity/GAUSS_COEF))/3.0;v_extrude=S*unscaled_extrude;vec2 extrude=v_extrude*radius*u_extrude_scale;vec4 pos=vec4(floor(a_pos*0.5)+extrude,0,1);gl_Position=u_matrix*pos;}\\\"),Qe=yr(\\\"uniform sampler2D u_image;uniform sampler2D u_color_ramp;uniform float u_opacity;varying vec2 v_pos;void main() {float t=texture2D(u_image,v_pos).r;vec4 color=texture2D(u_color_ramp,vec2(t,0.5));gl_FragColor=color*u_opacity;\\\\n#ifdef OVERDRAW_INSPECTOR\\\\ngl_FragColor=vec4(0.0);\\\\n#endif\\\\n}\\\",\\\"uniform mat4 u_matrix;uniform vec2 u_world;attribute vec2 a_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos*u_world,0,1);v_pos.x=a_pos.x;v_pos.y=1.0-a_pos.y;}\\\"),$e=yr(\\\"varying float v_placed;varying float v_notUsed;void main() {float alpha=0.5;gl_FragColor=vec4(1.0,0.0,0.0,1.0)*alpha;if (v_placed > 0.5) {gl_FragColor=vec4(0.0,0.0,1.0,0.5)*alpha;}if (v_notUsed > 0.5) {gl_FragColor*=.1;}}\\\",\\\"attribute vec2 a_pos;attribute vec2 a_anchor_pos;attribute vec2 a_extrude;attribute vec2 a_placed;attribute vec2 a_shift;uniform mat4 u_matrix;uniform vec2 u_extrude_scale;uniform float u_camera_to_center_distance;varying float v_placed;varying float v_notUsed;void main() {vec4 projectedPoint=u_matrix*vec4(a_anchor_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);gl_Position=u_matrix*vec4(a_pos,0.0,1.0);gl_Position.xy+=(a_extrude+a_shift)*u_extrude_scale*gl_Position.w*collision_perspective_ratio;v_placed=a_placed.x;v_notUsed=a_placed.y;}\\\"),tr=yr(\\\"varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;void main() {float alpha=0.5*min(v_perspective_ratio,1.0);float stroke_radius=0.9*max(v_perspective_ratio,1.0);float distance_to_center=length(v_extrude);float distance_to_edge=abs(distance_to_center-v_radius);float opacity_t=smoothstep(-stroke_radius,0.0,-distance_to_edge);vec4 color=mix(vec4(0.0,0.0,1.0,0.5),vec4(1.0,0.0,0.0,1.0),v_collision);gl_FragColor=color*alpha*opacity_t;}\\\",\\\"attribute vec2 a_pos;attribute float a_radius;attribute vec2 a_flags;uniform mat4 u_matrix;uniform mat4 u_inv_matrix;uniform vec2 u_viewport_size;uniform float u_camera_to_center_distance;varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;vec3 toTilePosition(vec2 screenPos) {vec4 rayStart=u_inv_matrix*vec4(screenPos,-1.0,1.0);vec4 rayEnd  =u_inv_matrix*vec4(screenPos, 1.0,1.0);rayStart.xyz/=rayStart.w;rayEnd.xyz  /=rayEnd.w;highp float t=(0.0-rayStart.z)/(rayEnd.z-rayStart.z);return mix(rayStart.xyz,rayEnd.xyz,t);}void main() {vec2 quadCenterPos=a_pos;float radius=a_radius;float collision=a_flags.x;float vertexIdx=a_flags.y;vec2 quadVertexOffset=vec2(mix(-1.0,1.0,float(vertexIdx >=2.0)),mix(-1.0,1.0,float(vertexIdx >=1.0 && vertexIdx <=2.0)));vec2 quadVertexExtent=quadVertexOffset*radius;vec3 tilePos=toTilePosition(quadCenterPos);vec4 clipPos=u_matrix*vec4(tilePos,1.0);highp float camera_to_anchor_distance=clipPos.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);float padding_factor=1.2;v_radius=radius;v_extrude=quadVertexExtent*padding_factor;v_perspective_ratio=collision_perspective_ratio;v_collision=collision;gl_Position=vec4(clipPos.xyz/clipPos.w,1.0)+vec4(quadVertexExtent*padding_factor/u_viewport_size*2.0,0.0,0.0);}\\\"),er=yr(\\\"uniform highp vec4 u_color;uniform sampler2D u_overlay;varying vec2 v_uv;void main() {vec4 overlay_color=texture2D(u_overlay,v_uv);gl_FragColor=mix(u_color,overlay_color,overlay_color.a);}\\\",\\\"attribute vec2 a_pos;varying vec2 v_uv;uniform mat4 u_matrix;uniform float u_overlay_scale;void main() {v_uv=a_pos/8192.0;gl_Position=u_matrix*vec4(a_pos*u_overlay_scale,0,1);}\\\"),rr=yr(\\\"#pragma mapbox: define highp vec4 color\\\\n#pragma mapbox: define lowp float opacity\\\\nvoid main() {\\\\n#pragma mapbox: initialize highp vec4 color\\\\n#pragma mapbox: initialize lowp float opacity\\\\ngl_FragColor=color*opacity;\\\\n#ifdef OVERDRAW_INSPECTOR\\\\ngl_FragColor=vec4(1.0);\\\\n#endif\\\\n}\\\",\\\"attribute vec2 a_pos;uniform mat4 u_matrix;\\\\n#pragma mapbox: define highp vec4 color\\\\n#pragma mapbox: define lowp float opacity\\\\nvoid main() {\\\\n#pragma mapbox: initialize highp vec4 color\\\\n#pragma mapbox: initialize lowp float opacity\\\\ngl_Position=u_matrix*vec4(a_pos,0,1);}\\\"),nr=yr(\\\"varying vec2 v_pos;\\\\n#pragma mapbox: define highp vec4 outline_color\\\\n#pragma mapbox: define lowp float opacity\\\\nvoid main() {\\\\n#pragma mapbox: initialize highp vec4 outline_color\\\\n#pragma mapbox: initialize lowp float opacity\\\\nfloat dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=outline_color*(alpha*opacity);\\\\n#ifdef OVERDRAW_INSPECTOR\\\\ngl_FragColor=vec4(1.0);\\\\n#endif\\\\n}\\\",\\\"attribute vec2 a_pos;uniform mat4 u_matrix;uniform vec2 u_world;varying vec2 v_pos;\\\\n#pragma mapbox: define highp vec4 outline_color\\\\n#pragma mapbox: define lowp float opacity\\\\nvoid main() {\\\\n#pragma mapbox: initialize highp vec4 outline_color\\\\n#pragma mapbox: initialize lowp float opacity\\\\ngl_Position=u_matrix*vec4(a_pos,0,1);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}\\\"),ir=yr(\\\"uniform vec2 u_texsize;uniform sampler2D u_image;uniform float u_fade;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\\\\n#pragma mapbox: define lowp float opacity\\\\n#pragma mapbox: define lowp vec4 pattern_from\\\\n#pragma mapbox: define lowp vec4 pattern_to\\\\nvoid main() {\\\\n#pragma mapbox: initialize lowp float opacity\\\\n#pragma mapbox: initialize mediump vec4 pattern_from\\\\n#pragma mapbox: initialize mediump vec4 pattern_to\\\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);float dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=mix(color1,color2,u_fade)*alpha*opacity;\\\\n#ifdef OVERDRAW_INSPECTOR\\\\ngl_FragColor=vec4(1.0);\\\\n#endif\\\\n}\\\",\\\"uniform mat4 u_matrix;uniform vec2 u_world;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\\\\n#pragma mapbox: define lowp float opacity\\\\n#pragma mapbox: define lowp vec4 pattern_from\\\\n#pragma mapbox: define lowp vec4 pattern_to\\\\n#pragma mapbox: define lowp float pixel_ratio_from\\\\n#pragma mapbox: define lowp float pixel_ratio_to\\\\nvoid main() {\\\\n#pragma mapbox: initialize lowp float opacity\\\\n#pragma mapbox: initialize mediump vec4 pattern_from\\\\n#pragma mapbox: initialize mediump vec4 pattern_to\\\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;gl_Position=u_matrix*vec4(a_pos,0,1);vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,a_pos);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}\\\"),ar=yr(\\\"uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;\\\\n#pragma mapbox: define lowp float opacity\\\\n#pragma mapbox: define lowp vec4 pattern_from\\\\n#pragma mapbox: define lowp vec4 pattern_to\\\\nvoid main() {\\\\n#pragma mapbox: initialize lowp float opacity\\\\n#pragma mapbox: initialize mediump vec4 pattern_from\\\\n#pragma mapbox: initialize mediump vec4 pattern_to\\\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_fade)*opacity;\\\\n#ifdef OVERDRAW_INSPECTOR\\\\ngl_FragColor=vec4(1.0);\\\\n#endif\\\\n}\\\",\\\"uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;\\\\n#pragma mapbox: define lowp float opacity\\\\n#pragma mapbox: define lowp vec4 pattern_from\\\\n#pragma mapbox: define lowp vec4 pattern_to\\\\n#pragma mapbox: define lowp float pixel_ratio_from\\\\n#pragma mapbox: define lowp float pixel_ratio_to\\\\nvoid main() {\\\\n#pragma mapbox: initialize lowp float opacity\\\\n#pragma mapbox: initialize mediump vec4 pattern_from\\\\n#pragma mapbox: initialize mediump vec4 pattern_to\\\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileZoomRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileZoomRatio,a_pos);}\\\"),or=yr(\\\"varying vec4 v_color;void main() {gl_FragColor=v_color;\\\\n#ifdef OVERDRAW_INSPECTOR\\\\ngl_FragColor=vec4(1.0);\\\\n#endif\\\\n}\\\",\\\"uniform mat4 u_matrix;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;uniform float u_vertical_gradient;uniform lowp float u_opacity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec4 v_color;\\\\n#pragma mapbox: define highp float base\\\\n#pragma mapbox: define highp float height\\\\n#pragma mapbox: define highp vec4 color\\\\nvoid main() {\\\\n#pragma mapbox: initialize highp float base\\\\n#pragma mapbox: initialize highp float height\\\\n#pragma mapbox: initialize highp vec4 color\\\\nvec3 normal=a_normal_ed.xyz;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);gl_Position=u_matrix*vec4(a_pos,t > 0.0 ? height : base,1);float colorvalue=color.r*0.2126+color.g*0.7152+color.b*0.0722;v_color=vec4(0.0,0.0,0.0,1.0);vec4 ambientlight=vec4(0.03,0.03,0.03,1.0);color+=ambientlight;float directional=clamp(dot(normal/16384.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((1.0-colorvalue+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_color.r+=clamp(color.r*directional*u_lightcolor.r,mix(0.0,0.3,1.0-u_lightcolor.r),1.0);v_color.g+=clamp(color.g*directional*u_lightcolor.g,mix(0.0,0.3,1.0-u_lightcolor.g),1.0);v_color.b+=clamp(color.b*directional*u_lightcolor.b,mix(0.0,0.3,1.0-u_lightcolor.b),1.0);v_color*=u_opacity;}\\\"),sr=yr(\\\"uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\\\\n#pragma mapbox: define lowp float base\\\\n#pragma mapbox: define lowp float height\\\\n#pragma mapbox: define lowp vec4 pattern_from\\\\n#pragma mapbox: define lowp vec4 pattern_to\\\\n#pragma mapbox: define lowp float pixel_ratio_from\\\\n#pragma mapbox: define lowp float pixel_ratio_to\\\\nvoid main() {\\\\n#pragma mapbox: initialize lowp float base\\\\n#pragma mapbox: initialize lowp float height\\\\n#pragma mapbox: initialize mediump vec4 pattern_from\\\\n#pragma mapbox: initialize mediump vec4 pattern_to\\\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);vec4 mixedColor=mix(color1,color2,u_fade);gl_FragColor=mixedColor*v_lighting;\\\\n#ifdef OVERDRAW_INSPECTOR\\\\ngl_FragColor=vec4(1.0);\\\\n#endif\\\\n}\\\",\\\"uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_height_factor;uniform vec3 u_scale;uniform float u_vertical_gradient;uniform lowp float u_opacity;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\\\\n#pragma mapbox: define lowp float base\\\\n#pragma mapbox: define lowp float height\\\\n#pragma mapbox: define lowp vec4 pattern_from\\\\n#pragma mapbox: define lowp vec4 pattern_to\\\\n#pragma mapbox: define lowp float pixel_ratio_from\\\\n#pragma mapbox: define lowp float pixel_ratio_to\\\\nvoid main() {\\\\n#pragma mapbox: initialize lowp float base\\\\n#pragma mapbox: initialize lowp float height\\\\n#pragma mapbox: initialize mediump vec4 pattern_from\\\\n#pragma mapbox: initialize mediump vec4 pattern_to\\\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec3 normal=a_normal_ed.xyz;float edgedistance=a_normal_ed.w;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);float z=t > 0.0 ? height : base;gl_Position=u_matrix*vec4(a_pos,z,1);vec2 pos=normal.x==1.0 && normal.y==0.0 && normal.z==16384.0\\\\n? a_pos\\\\n: vec2(edgedistance,z*u_height_factor);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,pos);v_lighting=vec4(0.0,0.0,0.0,1.0);float directional=clamp(dot(normal/16383.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((0.5+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_lighting.rgb+=clamp(directional*u_lightcolor,mix(vec3(0.0),vec3(0.3),1.0-u_lightcolor),vec3(1.0));v_lighting*=u_opacity;}\\\"),lr=yr(\\\"#ifdef GL_ES\\\\nprecision highp float;\\\\n#endif\\\\nuniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_dimension;uniform float u_zoom;uniform float u_maxzoom;uniform vec4 u_unpack;float getElevation(vec2 coord,float bias) {vec4 data=texture2D(u_image,coord)*255.0;data.a=-1.0;return dot(data,u_unpack)/4.0;}void main() {vec2 epsilon=1.0/u_dimension;float a=getElevation(v_pos+vec2(-epsilon.x,-epsilon.y),0.0);float b=getElevation(v_pos+vec2(0,-epsilon.y),0.0);float c=getElevation(v_pos+vec2(epsilon.x,-epsilon.y),0.0);float d=getElevation(v_pos+vec2(-epsilon.x,0),0.0);float e=getElevation(v_pos,0.0);float f=getElevation(v_pos+vec2(epsilon.x,0),0.0);float g=getElevation(v_pos+vec2(-epsilon.x,epsilon.y),0.0);float h=getElevation(v_pos+vec2(0,epsilon.y),0.0);float i=getElevation(v_pos+vec2(epsilon.x,epsilon.y),0.0);float exaggeration=u_zoom < 2.0 ? 0.4 : u_zoom < 4.5 ? 0.35 : 0.3;vec2 deriv=vec2((c+f+f+i)-(a+d+d+g),(g+h+h+i)-(a+b+b+c))/ pow(2.0,(u_zoom-u_maxzoom)*exaggeration+19.2562-u_zoom);gl_FragColor=clamp(vec4(deriv.x/2.0+0.5,deriv.y/2.0+0.5,1.0,1.0),0.0,1.0);\\\\n#ifdef OVERDRAW_INSPECTOR\\\\ngl_FragColor=vec4(1.0);\\\\n#endif\\\\n}\\\",\\\"uniform mat4 u_matrix;uniform vec2 u_dimension;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);highp vec2 epsilon=1.0/u_dimension;float scale=(u_dimension.x-2.0)/u_dimension.x;v_pos=(a_texture_pos/8192.0)*scale+epsilon;}\\\"),cr=yr(\\\"uniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_latrange;uniform vec2 u_light;uniform vec4 u_shadow;uniform vec4 u_highlight;uniform vec4 u_accent;\\\\n#define PI 3.141592653589793\\\\nvoid main() {vec4 pixel=texture2D(u_image,v_pos);vec2 deriv=((pixel.rg*2.0)-1.0);float scaleFactor=cos(radians((u_latrange[0]-u_latrange[1])*(1.0-v_pos.y)+u_latrange[1]));float slope=atan(1.25*length(deriv)/scaleFactor);float aspect=deriv.x !=0.0 ? atan(deriv.y,-deriv.x) : PI/2.0*(deriv.y > 0.0 ? 1.0 :-1.0);float intensity=u_light.x;float azimuth=u_light.y+PI;float base=1.875-intensity*1.75;float maxValue=0.5*PI;float scaledSlope=intensity !=0.5 ? ((pow(base,slope)-1.0)/(pow(base,maxValue)-1.0))*maxValue : slope;float accent=cos(scaledSlope);vec4 accent_color=(1.0-accent)*u_accent*clamp(intensity*2.0,0.0,1.0);float shade=abs(mod((aspect+azimuth)/PI+0.5,2.0)-1.0);vec4 shade_color=mix(u_shadow,u_highlight,shade)*sin(scaledSlope)*clamp(intensity*2.0,0.0,1.0);gl_FragColor=accent_color*(1.0-shade_color.a)+shade_color;\\\\n#ifdef OVERDRAW_INSPECTOR\\\\ngl_FragColor=vec4(1.0);\\\\n#endif\\\\n}\\\",\\\"uniform mat4 u_matrix;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos=a_texture_pos/8192.0;}\\\"),ur=yr(\\\"uniform lowp float u_device_pixel_ratio;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;\\\\n#pragma mapbox: define highp vec4 color\\\\n#pragma mapbox: define lowp float blur\\\\n#pragma mapbox: define lowp float opacity\\\\nvoid main() {\\\\n#pragma mapbox: initialize highp vec4 color\\\\n#pragma mapbox: initialize lowp float blur\\\\n#pragma mapbox: initialize lowp float opacity\\\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);gl_FragColor=color*(alpha*opacity);\\\\n#ifdef OVERDRAW_INSPECTOR\\\\ngl_FragColor=vec4(1.0);\\\\n#endif\\\\n}\\\",\\\"\\\\n#define scale 0.015873016\\\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform vec2 u_units_to_pixels;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_linesofar;\\\\n#pragma mapbox: define highp vec4 color\\\\n#pragma mapbox: define lowp float blur\\\\n#pragma mapbox: define lowp float opacity\\\\n#pragma mapbox: define mediump float gapwidth\\\\n#pragma mapbox: define lowp float offset\\\\n#pragma mapbox: define mediump float width\\\\nvoid main() {\\\\n#pragma mapbox: initialize highp vec4 color\\\\n#pragma mapbox: initialize lowp float blur\\\\n#pragma mapbox: initialize lowp float opacity\\\\n#pragma mapbox: initialize mediump float gapwidth\\\\n#pragma mapbox: initialize lowp float offset\\\\n#pragma mapbox: initialize mediump float width\\\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}\\\"),fr=yr(\\\"uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;varying highp float v_lineprogress;\\\\n#pragma mapbox: define lowp float blur\\\\n#pragma mapbox: define lowp float opacity\\\\nvoid main() {\\\\n#pragma mapbox: initialize lowp float blur\\\\n#pragma mapbox: initialize lowp float opacity\\\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);vec4 color=texture2D(u_image,vec2(v_lineprogress,0.5));gl_FragColor=color*(alpha*opacity);\\\\n#ifdef OVERDRAW_INSPECTOR\\\\ngl_FragColor=vec4(1.0);\\\\n#endif\\\\n}\\\",\\\"\\\\n#define MAX_LINE_DISTANCE 32767.0\\\\n#define scale 0.015873016\\\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_lineprogress;\\\\n#pragma mapbox: define lowp float blur\\\\n#pragma mapbox: define lowp float opacity\\\\n#pragma mapbox: define mediump float gapwidth\\\\n#pragma mapbox: define lowp float offset\\\\n#pragma mapbox: define mediump float width\\\\nvoid main() {\\\\n#pragma mapbox: initialize lowp float blur\\\\n#pragma mapbox: initialize lowp float opacity\\\\n#pragma mapbox: initialize mediump float gapwidth\\\\n#pragma mapbox: initialize lowp float offset\\\\n#pragma mapbox: initialize mediump float width\\\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_lineprogress=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0/MAX_LINE_DISTANCE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}\\\"),hr=yr(\\\"uniform lowp float u_device_pixel_ratio;uniform vec2 u_texsize;uniform float u_fade;uniform mediump vec3 u_scale;uniform sampler2D u_image;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\\\\n#pragma mapbox: define lowp vec4 pattern_from\\\\n#pragma mapbox: define lowp vec4 pattern_to\\\\n#pragma mapbox: define lowp float pixel_ratio_from\\\\n#pragma mapbox: define lowp float pixel_ratio_to\\\\n#pragma mapbox: define lowp float blur\\\\n#pragma mapbox: define lowp float opacity\\\\nvoid main() {\\\\n#pragma mapbox: initialize mediump vec4 pattern_from\\\\n#pragma mapbox: initialize mediump vec4 pattern_to\\\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\\\n#pragma mapbox: initialize lowp float blur\\\\n#pragma mapbox: initialize lowp float opacity\\\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;vec2 pattern_size_a=vec2(display_size_a.x*fromScale/tileZoomRatio,display_size_a.y);vec2 pattern_size_b=vec2(display_size_b.x*toScale/tileZoomRatio,display_size_b.y);float aspect_a=display_size_a.y/v_width;float aspect_b=display_size_b.y/v_width;float dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float x_a=mod(v_linesofar/pattern_size_a.x*aspect_a,1.0);float x_b=mod(v_linesofar/pattern_size_b.x*aspect_b,1.0);float y=0.5*v_normal.y+0.5;vec2 texel_size=1.0/u_texsize;vec2 pos_a=mix(pattern_tl_a*texel_size-texel_size,pattern_br_a*texel_size+texel_size,vec2(x_a,y));vec2 pos_b=mix(pattern_tl_b*texel_size-texel_size,pattern_br_b*texel_size+texel_size,vec2(x_b,y));vec4 color=mix(texture2D(u_image,pos_a),texture2D(u_image,pos_b),u_fade);gl_FragColor=color*alpha*opacity;\\\\n#ifdef OVERDRAW_INSPECTOR\\\\ngl_FragColor=vec4(1.0);\\\\n#endif\\\\n}\\\",\\\"\\\\n#define scale 0.015873016\\\\n#define LINE_DISTANCE_SCALE 2.0\\\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform vec2 u_units_to_pixels;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\\\\n#pragma mapbox: define lowp float blur\\\\n#pragma mapbox: define lowp float opacity\\\\n#pragma mapbox: define lowp float offset\\\\n#pragma mapbox: define mediump float gapwidth\\\\n#pragma mapbox: define mediump float width\\\\n#pragma mapbox: define lowp float floorwidth\\\\n#pragma mapbox: define lowp vec4 pattern_from\\\\n#pragma mapbox: define lowp vec4 pattern_to\\\\n#pragma mapbox: define lowp float pixel_ratio_from\\\\n#pragma mapbox: define lowp float pixel_ratio_to\\\\nvoid main() {\\\\n#pragma mapbox: initialize lowp float blur\\\\n#pragma mapbox: initialize lowp float opacity\\\\n#pragma mapbox: initialize lowp float offset\\\\n#pragma mapbox: initialize mediump float gapwidth\\\\n#pragma mapbox: initialize mediump float width\\\\n#pragma mapbox: initialize lowp float floorwidth\\\\n#pragma mapbox: initialize mediump vec4 pattern_from\\\\n#pragma mapbox: initialize mediump vec4 pattern_to\\\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_linesofar=a_linesofar;v_width2=vec2(outset,inset);v_width=floorwidth;}\\\"),pr=yr(\\\"uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;uniform float u_sdfgamma;uniform float u_mix;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\\\\n#pragma mapbox: define highp vec4 color\\\\n#pragma mapbox: define lowp float blur\\\\n#pragma mapbox: define lowp float opacity\\\\n#pragma mapbox: define mediump float width\\\\n#pragma mapbox: define lowp float floorwidth\\\\nvoid main() {\\\\n#pragma mapbox: initialize highp vec4 color\\\\n#pragma mapbox: initialize lowp float blur\\\\n#pragma mapbox: initialize lowp float opacity\\\\n#pragma mapbox: initialize mediump float width\\\\n#pragma mapbox: initialize lowp float floorwidth\\\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float sdfdist_a=texture2D(u_image,v_tex_a).a;float sdfdist_b=texture2D(u_image,v_tex_b).a;float sdfdist=mix(sdfdist_a,sdfdist_b,u_mix);alpha*=smoothstep(0.5-u_sdfgamma/floorwidth,0.5+u_sdfgamma/floorwidth,sdfdist);gl_FragColor=color*(alpha*opacity);\\\\n#ifdef OVERDRAW_INSPECTOR\\\\ngl_FragColor=vec4(1.0);\\\\n#endif\\\\n}\\\",\\\"\\\\n#define scale 0.015873016\\\\n#define LINE_DISTANCE_SCALE 2.0\\\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_patternscale_a;uniform float u_tex_y_a;uniform vec2 u_patternscale_b;uniform float u_tex_y_b;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\\\\n#pragma mapbox: define highp vec4 color\\\\n#pragma mapbox: define lowp float blur\\\\n#pragma mapbox: define lowp float opacity\\\\n#pragma mapbox: define mediump float gapwidth\\\\n#pragma mapbox: define lowp float offset\\\\n#pragma mapbox: define mediump float width\\\\n#pragma mapbox: define lowp float floorwidth\\\\nvoid main() {\\\\n#pragma mapbox: initialize highp vec4 color\\\\n#pragma mapbox: initialize lowp float blur\\\\n#pragma mapbox: initialize lowp float opacity\\\\n#pragma mapbox: initialize mediump float gapwidth\\\\n#pragma mapbox: initialize lowp float offset\\\\n#pragma mapbox: initialize mediump float width\\\\n#pragma mapbox: initialize lowp float floorwidth\\\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_tex_a=vec2(a_linesofar*u_patternscale_a.x/floorwidth,normal.y*u_patternscale_a.y+u_tex_y_a);v_tex_b=vec2(a_linesofar*u_patternscale_b.x/floorwidth,normal.y*u_patternscale_b.y+u_tex_y_b);v_width2=vec2(outset,inset);}\\\"),dr=yr(\\\"uniform float u_fade_t;uniform float u_opacity;uniform sampler2D u_image0;uniform sampler2D u_image1;varying vec2 v_pos0;varying vec2 v_pos1;uniform float u_brightness_low;uniform float u_brightness_high;uniform float u_saturation_factor;uniform float u_contrast_factor;uniform vec3 u_spin_weights;void main() {vec4 color0=texture2D(u_image0,v_pos0);vec4 color1=texture2D(u_image1,v_pos1);if (color0.a > 0.0) {color0.rgb=color0.rgb/color0.a;}if (color1.a > 0.0) {color1.rgb=color1.rgb/color1.a;}vec4 color=mix(color0,color1,u_fade_t);color.a*=u_opacity;vec3 rgb=color.rgb;rgb=vec3(dot(rgb,u_spin_weights.xyz),dot(rgb,u_spin_weights.zxy),dot(rgb,u_spin_weights.yzx));float average=(color.r+color.g+color.b)/3.0;rgb+=(average-rgb)*u_saturation_factor;rgb=(rgb-0.5)*u_contrast_factor+0.5;vec3 u_high_vec=vec3(u_brightness_low,u_brightness_low,u_brightness_low);vec3 u_low_vec=vec3(u_brightness_high,u_brightness_high,u_brightness_high);gl_FragColor=vec4(mix(u_high_vec,u_low_vec,rgb)*color.a,color.a);\\\\n#ifdef OVERDRAW_INSPECTOR\\\\ngl_FragColor=vec4(1.0);\\\\n#endif\\\\n}\\\",\\\"uniform mat4 u_matrix;uniform vec2 u_tl_parent;uniform float u_scale_parent;uniform float u_buffer_scale;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos0;varying vec2 v_pos1;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos0=(((a_texture_pos/8192.0)-0.5)/u_buffer_scale )+0.5;v_pos1=(v_pos0*u_scale_parent)+u_tl_parent;}\\\"),mr=yr(\\\"uniform sampler2D u_texture;varying vec2 v_tex;varying float v_fade_opacity;\\\\n#pragma mapbox: define lowp float opacity\\\\nvoid main() {\\\\n#pragma mapbox: initialize lowp float opacity\\\\nlowp float alpha=opacity*v_fade_opacity;gl_FragColor=texture2D(u_texture,v_tex)*alpha;\\\\n#ifdef OVERDRAW_INSPECTOR\\\\ngl_FragColor=vec4(1.0);\\\\n#endif\\\\n}\\\",\\\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform highp float u_camera_to_center_distance;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform float u_fade_change;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform vec2 u_texsize;varying vec2 v_tex;varying float v_fade_opacity;\\\\n#pragma mapbox: define lowp float opacity\\\\nvoid main() {\\\\n#pragma mapbox: initialize lowp float opacity\\\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;vec2 a_minFontScale=a_pixeloffset.zw/256.0;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*max(a_minFontScale,fontScale)+a_pxoffset/16.0),0.0,1.0);v_tex=a_tex/u_texsize;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;v_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));}\\\"),gr=yr(\\\"#define SDF_PX 8.0\\\\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;uniform bool u_is_text;varying vec2 v_data0;varying vec3 v_data1;\\\\n#pragma mapbox: define highp vec4 fill_color\\\\n#pragma mapbox: define highp vec4 halo_color\\\\n#pragma mapbox: define lowp float opacity\\\\n#pragma mapbox: define lowp float halo_width\\\\n#pragma mapbox: define lowp float halo_blur\\\\nvoid main() {\\\\n#pragma mapbox: initialize highp vec4 fill_color\\\\n#pragma mapbox: initialize highp vec4 halo_color\\\\n#pragma mapbox: initialize lowp float opacity\\\\n#pragma mapbox: initialize lowp float halo_width\\\\n#pragma mapbox: initialize lowp float halo_blur\\\\nfloat EDGE_GAMMA=0.105/u_device_pixel_ratio;vec2 tex=v_data0.xy;float gamma_scale=v_data1.x;float size=v_data1.y;float fade_opacity=v_data1[2];float fontScale=u_is_text ? size/24.0 : size;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\\\\n#ifdef OVERDRAW_INSPECTOR\\\\ngl_FragColor=vec4(1.0);\\\\n#endif\\\\n}\\\",\\\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;varying vec2 v_data0;varying vec3 v_data1;\\\\n#pragma mapbox: define highp vec4 fill_color\\\\n#pragma mapbox: define highp vec4 halo_color\\\\n#pragma mapbox: define lowp float opacity\\\\n#pragma mapbox: define lowp float halo_width\\\\n#pragma mapbox: define lowp float halo_blur\\\\nvoid main() {\\\\n#pragma mapbox: initialize highp vec4 fill_color\\\\n#pragma mapbox: initialize highp vec4 halo_color\\\\n#pragma mapbox: initialize lowp float opacity\\\\n#pragma mapbox: initialize lowp float halo_width\\\\n#pragma mapbox: initialize lowp float halo_blur\\\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale+a_pxoffset),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0=a_tex/u_texsize;v_data1=vec3(gamma_scale,size,interpolated_fade_opacity);}\\\"),vr=yr(\\\"#define SDF_PX 8.0\\\\n#define SDF 1.0\\\\n#define ICON 0.0\\\\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform sampler2D u_texture_icon;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;varying vec4 v_data0;varying vec4 v_data1;\\\\n#pragma mapbox: define highp vec4 fill_color\\\\n#pragma mapbox: define highp vec4 halo_color\\\\n#pragma mapbox: define lowp float opacity\\\\n#pragma mapbox: define lowp float halo_width\\\\n#pragma mapbox: define lowp float halo_blur\\\\nvoid main() {\\\\n#pragma mapbox: initialize highp vec4 fill_color\\\\n#pragma mapbox: initialize highp vec4 halo_color\\\\n#pragma mapbox: initialize lowp float opacity\\\\n#pragma mapbox: initialize lowp float halo_width\\\\n#pragma mapbox: initialize lowp float halo_blur\\\\nfloat fade_opacity=v_data1[2];if (v_data1.w==ICON) {vec2 tex_icon=v_data0.zw;lowp float alpha=opacity*fade_opacity;gl_FragColor=texture2D(u_texture_icon,tex_icon)*alpha;\\\\n#ifdef OVERDRAW_INSPECTOR\\\\ngl_FragColor=vec4(1.0);\\\\n#endif\\\\nreturn;}vec2 tex=v_data0.xy;float EDGE_GAMMA=0.105/u_device_pixel_ratio;float gamma_scale=v_data1.x;float size=v_data1.y;float fontScale=size/24.0;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\\\\n#ifdef OVERDRAW_INSPECTOR\\\\ngl_FragColor=vec4(1.0);\\\\n#endif\\\\n}\\\",\\\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;uniform vec2 u_texsize_icon;varying vec4 v_data0;varying vec4 v_data1;\\\\n#pragma mapbox: define highp vec4 fill_color\\\\n#pragma mapbox: define highp vec4 halo_color\\\\n#pragma mapbox: define lowp float opacity\\\\n#pragma mapbox: define lowp float halo_width\\\\n#pragma mapbox: define lowp float halo_blur\\\\nvoid main() {\\\\n#pragma mapbox: initialize highp vec4 fill_color\\\\n#pragma mapbox: initialize highp vec4 halo_color\\\\n#pragma mapbox: initialize lowp float opacity\\\\n#pragma mapbox: initialize lowp float halo_width\\\\n#pragma mapbox: initialize lowp float halo_blur\\\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);float is_sdf=a_size[0]-2.0*a_size_min;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=size/24.0;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0.xy=a_tex/u_texsize;v_data0.zw=a_tex/u_texsize_icon;v_data1=vec4(gamma_scale,size,interpolated_fade_opacity,is_sdf);}\\\");function yr(t,e){var r=/#pragma mapbox: ([\\\\w]+) ([\\\\w]+) ([\\\\w]+) ([\\\\w]+)/g,n={};return{fragmentSource:t=t.replace(r,(function(t,e,r,i,a){return n[a]=!0,\\\"define\\\"===e?\\\"\\\\n#ifndef HAS_UNIFORM_u_\\\"+a+\\\"\\\\nvarying \\\"+r+\\\" \\\"+i+\\\" \\\"+a+\\\";\\\\n#else\\\\nuniform \\\"+r+\\\" \\\"+i+\\\" u_\\\"+a+\\\";\\\\n#endif\\\\n\\\":\\\"\\\\n#ifdef HAS_UNIFORM_u_\\\"+a+\\\"\\\\n    \\\"+r+\\\" \\\"+i+\\\" \\\"+a+\\\" = u_\\\"+a+\\\";\\\\n#endif\\\\n\\\"})),vertexSource:e=e.replace(r,(function(t,e,r,i,a){var o=\\\"float\\\"===i?\\\"vec2\\\":\\\"vec4\\\",s=a.match(/color/)?\\\"color\\\":o;return n[a]?\\\"define\\\"===e?\\\"\\\\n#ifndef HAS_UNIFORM_u_\\\"+a+\\\"\\\\nuniform lowp float u_\\\"+a+\\\"_t;\\\\nattribute \\\"+r+\\\" \\\"+o+\\\" a_\\\"+a+\\\";\\\\nvarying \\\"+r+\\\" \\\"+i+\\\" \\\"+a+\\\";\\\\n#else\\\\nuniform \\\"+r+\\\" \\\"+i+\\\" u_\\\"+a+\\\";\\\\n#endif\\\\n\\\":\\\"vec4\\\"===s?\\\"\\\\n#ifndef HAS_UNIFORM_u_\\\"+a+\\\"\\\\n    \\\"+a+\\\" = a_\\\"+a+\\\";\\\\n#else\\\\n    \\\"+r+\\\" \\\"+i+\\\" \\\"+a+\\\" = u_\\\"+a+\\\";\\\\n#endif\\\\n\\\":\\\"\\\\n#ifndef HAS_UNIFORM_u_\\\"+a+\\\"\\\\n    \\\"+a+\\\" = unpack_mix_\\\"+s+\\\"(a_\\\"+a+\\\", u_\\\"+a+\\\"_t);\\\\n#else\\\\n    \\\"+r+\\\" \\\"+i+\\\" \\\"+a+\\\" = u_\\\"+a+\\\";\\\\n#endif\\\\n\\\":\\\"define\\\"===e?\\\"\\\\n#ifndef HAS_UNIFORM_u_\\\"+a+\\\"\\\\nuniform lowp float u_\\\"+a+\\\"_t;\\\\nattribute \\\"+r+\\\" \\\"+o+\\\" a_\\\"+a+\\\";\\\\n#else\\\\nuniform \\\"+r+\\\" \\\"+i+\\\" u_\\\"+a+\\\";\\\\n#endif\\\\n\\\":\\\"vec4\\\"===s?\\\"\\\\n#ifndef HAS_UNIFORM_u_\\\"+a+\\\"\\\\n    \\\"+r+\\\" \\\"+i+\\\" \\\"+a+\\\" = a_\\\"+a+\\\";\\\\n#else\\\\n    \\\"+r+\\\" \\\"+i+\\\" \\\"+a+\\\" = u_\\\"+a+\\\";\\\\n#endif\\\\n\\\":\\\"\\\\n#ifndef HAS_UNIFORM_u_\\\"+a+\\\"\\\\n    \\\"+r+\\\" \\\"+i+\\\" \\\"+a+\\\" = unpack_mix_\\\"+s+\\\"(a_\\\"+a+\\\", u_\\\"+a+\\\"_t);\\\\n#else\\\\n    \\\"+r+\\\" \\\"+i+\\\" \\\"+a+\\\" = u_\\\"+a+\\\";\\\\n#endif\\\\n\\\"}))}}var xr=Object.freeze({__proto__:null,prelude:Ye,background:We,backgroundPattern:Xe,circle:Ze,clippingMask:Je,heatmap:Ke,heatmapTexture:Qe,collisionBox:$e,collisionCircle:tr,debug:er,fill:rr,fillOutline:nr,fillOutlinePattern:ir,fillPattern:ar,fillExtrusion:or,fillExtrusionPattern:sr,hillshadePrepare:lr,hillshade:cr,line:ur,lineGradient:fr,linePattern:hr,lineSDF:pr,raster:dr,symbolIcon:mr,symbolSDF:gr,symbolTextAndIcon:vr}),br=function(){this.boundProgram=null,this.boundLayoutVertexBuffer=null,this.boundPaintVertexBuffers=[],this.boundIndexBuffer=null,this.boundVertexOffset=null,this.boundDynamicVertexBuffer=null,this.vao=null};br.prototype.bind=function(t,e,r,n,i,a,o,s){this.context=t;for(var l=this.boundPaintVertexBuffers.length!==n.length,c=0;!l&&c<n.length;c++)this.boundPaintVertexBuffers[c]!==n[c]&&(l=!0);var u=!this.vao||this.boundProgram!==e||this.boundLayoutVertexBuffer!==r||l||this.boundIndexBuffer!==i||this.boundVertexOffset!==a||this.boundDynamicVertexBuffer!==o||this.boundDynamicVertexBuffer2!==s;!t.extVertexArrayObject||u?this.freshBind(e,r,n,i,a,o,s):(t.bindVertexArrayOES.set(this.vao),o&&o.bind(),i&&i.dynamicDraw&&i.bind(),s&&s.bind())},br.prototype.freshBind=function(t,e,r,n,i,a,o){var s,l=t.numAttributes,c=this.context,u=c.gl;if(c.extVertexArrayObject)this.vao&&this.destroy(),this.vao=c.extVertexArrayObject.createVertexArrayOES(),c.bindVertexArrayOES.set(this.vao),s=0,this.boundProgram=t,this.boundLayoutVertexBuffer=e,this.boundPaintVertexBuffers=r,this.boundIndexBuffer=n,this.boundVertexOffset=i,this.boundDynamicVertexBuffer=a,this.boundDynamicVertexBuffer2=o;else{s=c.currentNumAttributes||0;for(var f=l;f<s;f++)u.disableVertexAttribArray(f)}e.enableAttributes(u,t);for(var h=0,p=r;h<p.length;h+=1){p[h].enableAttributes(u,t)}a&&a.enableAttributes(u,t),o&&o.enableAttributes(u,t),e.bind(),e.setVertexAttribPointers(u,t,i);for(var d=0,m=r;d<m.length;d+=1){var g=m[d];g.bind(),g.setVertexAttribPointers(u,t,i)}a&&(a.bind(),a.setVertexAttribPointers(u,t,i)),n&&n.bind(),o&&(o.bind(),o.setVertexAttribPointers(u,t,i)),c.currentNumAttributes=l},br.prototype.destroy=function(){this.vao&&(this.context.extVertexArrayObject.deleteVertexArrayOES(this.vao),this.vao=null)};var _r=function(t,e,r,n,i){var a=t.gl;this.program=a.createProgram();var o=r?r.defines():[];i&&o.push(\\\"#define OVERDRAW_INSPECTOR;\\\");var s=o.concat(Ye.fragmentSource,e.fragmentSource).join(\\\"\\\\n\\\"),l=o.concat(Ye.vertexSource,e.vertexSource).join(\\\"\\\\n\\\"),c=a.createShader(a.FRAGMENT_SHADER);if(a.isContextLost())this.failedToCreate=!0;else{a.shaderSource(c,s),a.compileShader(c),a.attachShader(this.program,c);var u=a.createShader(a.VERTEX_SHADER);if(a.isContextLost())this.failedToCreate=!0;else{a.shaderSource(u,l),a.compileShader(u),a.attachShader(this.program,u);for(var f=r?r.layoutAttributes:[],h=0;h<f.length;h++)a.bindAttribLocation(this.program,h,f[h].name);a.linkProgram(this.program),a.deleteShader(u),a.deleteShader(c),this.numAttributes=a.getProgramParameter(this.program,a.ACTIVE_ATTRIBUTES),this.attributes={};for(var p={},d=0;d<this.numAttributes;d++){var m=a.getActiveAttrib(this.program,d);m&&(this.attributes[m.name]=a.getAttribLocation(this.program,m.name))}for(var g=a.getProgramParameter(this.program,a.ACTIVE_UNIFORMS),v=0;v<g;v++){var y=a.getActiveUniform(this.program,v);y&&(p[y.name]=a.getUniformLocation(this.program,y.name))}this.fixedUniforms=n(t,p),this.binderUniforms=r?r.getUniforms(t,p):[]}}};function wr(t,e,r){var n=1/pe(r,1,e.transform.tileZoom),i=Math.pow(2,r.tileID.overscaledZ),a=r.tileSize*Math.pow(2,e.transform.tileZoom)/i,o=a*(r.tileID.canonical.x+r.tileID.wrap*i),s=a*r.tileID.canonical.y;return{u_image:0,u_texsize:r.imageAtlasTexture.size,u_scale:[n,t.fromScale,t.toScale],u_fade:t.t,u_pixel_coord_upper:[o>>16,s>>16],u_pixel_coord_lower:[65535&o,65535&s]}}_r.prototype.draw=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,m){var g,v=t.gl;if(!this.failedToCreate){for(var y in t.program.set(this.program),t.setDepthMode(r),t.setStencilMode(n),t.setColorMode(i),t.setCullFace(a),this.fixedUniforms)this.fixedUniforms[y].set(o[y]);p&&p.setUniforms(t,this.binderUniforms,f,{zoom:h});for(var x=(g={},g[v.LINES]=2,g[v.TRIANGLES]=3,g[v.LINE_STRIP]=1,g)[e],b=0,_=u.get();b<_.length;b+=1){var w=_[b],T=w.vaos||(w.vaos={});(T[s]||(T[s]=new br)).bind(t,this,l,p?p.getPaintVertexBuffers():[],c,w.vertexOffset,d,m),v.drawElements(e,w.primitiveLength*x,v.UNSIGNED_SHORT,w.primitiveOffset*x*2)}}};var Tr=function(e,r,n,i){var a=r.style.light,o=a.properties.get(\\\"position\\\"),s=[o.x,o.y,o.z],l=t.create$1();\\\"viewport\\\"===a.properties.get(\\\"anchor\\\")&&t.fromRotation(l,-r.transform.angle),t.transformMat3(s,s,l);var c=a.properties.get(\\\"color\\\");return{u_matrix:e,u_lightpos:s,u_lightintensity:a.properties.get(\\\"intensity\\\"),u_lightcolor:[c.r,c.g,c.b],u_vertical_gradient:+n,u_opacity:i}},kr=function(e,r,n,i,a,o,s){return t.extend(Tr(e,r,n,i),wr(o,r,s),{u_height_factor:-Math.pow(2,a.overscaledZ)/s.tileSize/8})},Mr=function(t){return{u_matrix:t}},Ar=function(e,r,n,i){return t.extend(Mr(e),wr(n,r,i))},Sr=function(t,e){return{u_matrix:t,u_world:e}},Er=function(e,r,n,i,a){return t.extend(Ar(e,r,n,i),{u_world:a})},Lr=function(e,r,n,i){var a,o,s=e.transform;if(\\\"map\\\"===i.paint.get(\\\"circle-pitch-alignment\\\")){var l=pe(n,1,s.zoom);a=!0,o=[l,l]}else a=!1,o=s.pixelsToGLUnits;return{u_camera_to_center_distance:s.cameraToCenterDistance,u_scale_with_map:+(\\\"map\\\"===i.paint.get(\\\"circle-pitch-scale\\\")),u_matrix:e.translatePosMatrix(r.posMatrix,n,i.paint.get(\\\"circle-translate\\\"),i.paint.get(\\\"circle-translate-anchor\\\")),u_pitch_with_map:+a,u_device_pixel_ratio:t.browser.devicePixelRatio,u_extrude_scale:o}},Cr=function(t,e,r){var n=pe(r,1,e.zoom),i=Math.pow(2,e.zoom-r.tileID.overscaledZ),a=r.tileID.overscaleFactor();return{u_matrix:t,u_camera_to_center_distance:e.cameraToCenterDistance,u_pixels_to_tile_units:n,u_extrude_scale:[e.pixelsToGLUnits[0]/(n*i),e.pixelsToGLUnits[1]/(n*i)],u_overscale_factor:a}},Pr=function(t,e,r){return{u_matrix:t,u_inv_matrix:e,u_camera_to_center_distance:r.cameraToCenterDistance,u_viewport_size:[r.width,r.height]}},Ir=function(t,e,r){return void 0===r&&(r=1),{u_matrix:t,u_color:e,u_overlay:0,u_overlay_scale:r}},Or=function(t){return{u_matrix:t}},zr=function(t,e,r,n){return{u_matrix:t,u_extrude_scale:pe(e,1,r),u_intensity:n}};function Dr(e,r){var n=Math.pow(2,r.canonical.z),i=r.canonical.y;return[new t.MercatorCoordinate(0,i/n).toLngLat().lat,new t.MercatorCoordinate(0,(i+1)/n).toLngLat().lat]}var Rr=function(e,r,n){var i=e.transform;return{u_matrix:Ur(e,r,n),u_ratio:1/pe(r,1,i.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_units_to_pixels:[1/i.pixelsToGLUnits[0],1/i.pixelsToGLUnits[1]]}},Fr=function(e,r,n){return t.extend(Rr(e,r,n),{u_image:0})},Br=function(e,r,n,i){var a=e.transform,o=jr(r,a);return{u_matrix:Ur(e,r,n),u_texsize:r.imageAtlasTexture.size,u_ratio:1/pe(r,1,a.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_image:0,u_scale:[o,i.fromScale,i.toScale],u_fade:i.t,u_units_to_pixels:[1/a.pixelsToGLUnits[0],1/a.pixelsToGLUnits[1]]}},Nr=function(e,r,n,i,a){var o=e.transform,s=e.lineAtlas,l=jr(r,o),c=\\\"round\\\"===n.layout.get(\\\"line-cap\\\"),u=s.getDash(i.from,c),f=s.getDash(i.to,c),h=u.width*a.fromScale,p=f.width*a.toScale;return t.extend(Rr(e,r,n),{u_patternscale_a:[l/h,-u.height/2],u_patternscale_b:[l/p,-f.height/2],u_sdfgamma:s.width/(256*Math.min(h,p)*t.browser.devicePixelRatio)/2,u_image:0,u_tex_y_a:u.y,u_tex_y_b:f.y,u_mix:a.t})};function jr(t,e){return 1/pe(t,1,e.tileZoom)}function Ur(t,e,r){return t.translatePosMatrix(e.tileID.posMatrix,e,r.paint.get(\\\"line-translate\\\"),r.paint.get(\\\"line-translate-anchor\\\"))}var Vr=function(t,e,r,n,i){return{u_matrix:t,u_tl_parent:e,u_scale_parent:r,u_buffer_scale:1,u_fade_t:n.mix,u_opacity:n.opacity*i.paint.get(\\\"raster-opacity\\\"),u_image0:0,u_image1:1,u_brightness_low:i.paint.get(\\\"raster-brightness-min\\\"),u_brightness_high:i.paint.get(\\\"raster-brightness-max\\\"),u_saturation_factor:(o=i.paint.get(\\\"raster-saturation\\\"),o>0?1-1/(1.001-o):-o),u_contrast_factor:(a=i.paint.get(\\\"raster-contrast\\\"),a>0?1/(1-a):1+a),u_spin_weights:qr(i.paint.get(\\\"raster-hue-rotate\\\"))};var a,o};function qr(t){t*=Math.PI/180;var e=Math.sin(t),r=Math.cos(t);return[(2*r+1)/3,(-Math.sqrt(3)*e-r+1)/3,(Math.sqrt(3)*e-r+1)/3]}var Hr,Gr=function(t,e,r,n,i,a,o,s,l,c){var u=i.transform;return{u_is_size_zoom_constant:+(\\\"constant\\\"===t||\\\"source\\\"===t),u_is_size_feature_constant:+(\\\"constant\\\"===t||\\\"camera\\\"===t),u_size_t:e?e.uSizeT:0,u_size:e?e.uSize:0,u_camera_to_center_distance:u.cameraToCenterDistance,u_pitch:u.pitch/360*2*Math.PI,u_rotate_symbol:+r,u_aspect_ratio:u.width/u.height,u_fade_change:i.options.fadeDuration?i.symbolFadeChange:1,u_matrix:a,u_label_plane_matrix:o,u_coord_matrix:s,u_is_text:+l,u_pitch_with_map:+n,u_texsize:c,u_texture:0}},Yr=function(e,r,n,i,a,o,s,l,c,u,f){var h=a.transform;return t.extend(Gr(e,r,n,i,a,o,s,l,c,u),{u_gamma_scale:i?Math.cos(h._pitch)*h.cameraToCenterDistance:1,u_device_pixel_ratio:t.browser.devicePixelRatio,u_is_halo:+f})},Wr=function(e,r,n,i,a,o,s,l,c,u){return t.extend(Yr(e,r,n,i,a,o,s,l,!0,c,!0),{u_texsize_icon:u,u_texture_icon:1})},Xr=function(t,e,r){return{u_matrix:t,u_opacity:e,u_color:r}},Zr=function(e,r,n,i,a,o){return t.extend(function(t,e,r,n){var i=r.imageManager.getPattern(t.from.toString()),a=r.imageManager.getPattern(t.to.toString()),o=r.imageManager.getPixelSize(),s=o.width,l=o.height,c=Math.pow(2,n.tileID.overscaledZ),u=n.tileSize*Math.pow(2,r.transform.tileZoom)/c,f=u*(n.tileID.canonical.x+n.tileID.wrap*c),h=u*n.tileID.canonical.y;return{u_image:0,u_pattern_tl_a:i.tl,u_pattern_br_a:i.br,u_pattern_tl_b:a.tl,u_pattern_br_b:a.br,u_texsize:[s,l],u_mix:e.t,u_pattern_size_a:i.displaySize,u_pattern_size_b:a.displaySize,u_scale_a:e.fromScale,u_scale_b:e.toScale,u_tile_units_to_pixels:1/pe(n,1,r.transform.tileZoom),u_pixel_coord_upper:[f>>16,h>>16],u_pixel_coord_lower:[65535&f,65535&h]}}(i,o,n,a),{u_matrix:e,u_opacity:r})},Jr={fillExtrusion:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fillExtrusionPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_height_factor:new t.Uniform1f(e,r.u_height_factor),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fill:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},fillPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},fillOutline:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world)}},fillOutlinePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},circle:function(e,r){return{u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_scale_with_map:new t.Uniform1i(e,r.u_scale_with_map),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},collisionBox:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pixels_to_tile_units:new t.Uniform1f(e,r.u_pixels_to_tile_units),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_overscale_factor:new t.Uniform1f(e,r.u_overscale_factor)}},collisionCircle:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_inv_matrix:new t.UniformMatrix4f(e,r.u_inv_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_viewport_size:new t.Uniform2f(e,r.u_viewport_size)}},debug:function(e,r){return{u_color:new t.UniformColor(e,r.u_color),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_overlay:new t.Uniform1i(e,r.u_overlay),u_overlay_scale:new t.Uniform1f(e,r.u_overlay_scale)}},clippingMask:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmap:function(e,r){return{u_extrude_scale:new t.Uniform1f(e,r.u_extrude_scale),u_intensity:new t.Uniform1f(e,r.u_intensity),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmapTexture:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_color_ramp:new t.Uniform1i(e,r.u_color_ramp),u_opacity:new t.Uniform1f(e,r.u_opacity)}},hillshade:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_latrange:new t.Uniform2f(e,r.u_latrange),u_light:new t.Uniform2f(e,r.u_light),u_shadow:new t.UniformColor(e,r.u_shadow),u_highlight:new t.UniformColor(e,r.u_highlight),u_accent:new t.UniformColor(e,r.u_accent)}},hillshadePrepare:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_dimension:new t.Uniform2f(e,r.u_dimension),u_zoom:new t.Uniform1f(e,r.u_zoom),u_maxzoom:new t.Uniform1f(e,r.u_maxzoom),u_unpack:new t.Uniform4f(e,r.u_unpack)}},line:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels)}},lineGradient:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_image:new t.Uniform1i(e,r.u_image)}},linePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_texsize:new t.Uniform2f(e,r.u_texsize),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_image:new t.Uniform1i(e,r.u_image),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},lineSDF:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_patternscale_a:new t.Uniform2f(e,r.u_patternscale_a),u_patternscale_b:new t.Uniform2f(e,r.u_patternscale_b),u_sdfgamma:new t.Uniform1f(e,r.u_sdfgamma),u_image:new t.Uniform1i(e,r.u_image),u_tex_y_a:new t.Uniform1f(e,r.u_tex_y_a),u_tex_y_b:new t.Uniform1f(e,r.u_tex_y_b),u_mix:new t.Uniform1f(e,r.u_mix)}},raster:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_tl_parent:new t.Uniform2f(e,r.u_tl_parent),u_scale_parent:new t.Uniform1f(e,r.u_scale_parent),u_buffer_scale:new t.Uniform1f(e,r.u_buffer_scale),u_fade_t:new t.Uniform1f(e,r.u_fade_t),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image0:new t.Uniform1i(e,r.u_image0),u_image1:new t.Uniform1i(e,r.u_image1),u_brightness_low:new t.Uniform1f(e,r.u_brightness_low),u_brightness_high:new t.Uniform1f(e,r.u_brightness_high),u_saturation_factor:new t.Uniform1f(e,r.u_saturation_factor),u_contrast_factor:new t.Uniform1f(e,r.u_contrast_factor),u_spin_weights:new t.Uniform3f(e,r.u_spin_weights)}},symbolIcon:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture)}},symbolSDF:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture),u_gamma_scale:new t.Uniform1f(e,r.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_is_halo:new t.Uniform1i(e,r.u_is_halo)}},symbolTextAndIcon:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texsize_icon:new t.Uniform2f(e,r.u_texsize_icon),u_texture:new t.Uniform1i(e,r.u_texture),u_texture_icon:new t.Uniform1i(e,r.u_texture_icon),u_gamma_scale:new t.Uniform1f(e,r.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_is_halo:new t.Uniform1i(e,r.u_is_halo)}},background:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_color:new t.UniformColor(e,r.u_color)}},backgroundPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image:new t.Uniform1i(e,r.u_image),u_pattern_tl_a:new t.Uniform2f(e,r.u_pattern_tl_a),u_pattern_br_a:new t.Uniform2f(e,r.u_pattern_br_a),u_pattern_tl_b:new t.Uniform2f(e,r.u_pattern_tl_b),u_pattern_br_b:new t.Uniform2f(e,r.u_pattern_br_b),u_texsize:new t.Uniform2f(e,r.u_texsize),u_mix:new t.Uniform1f(e,r.u_mix),u_pattern_size_a:new t.Uniform2f(e,r.u_pattern_size_a),u_pattern_size_b:new t.Uniform2f(e,r.u_pattern_size_b),u_scale_a:new t.Uniform1f(e,r.u_scale_a),u_scale_b:new t.Uniform1f(e,r.u_scale_b),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_tile_units_to_pixels:new t.Uniform1f(e,r.u_tile_units_to_pixels)}}};function Kr(e,r,n,i,a,o,s){for(var l=e.context,c=l.gl,u=e.useProgram(\\\"collisionBox\\\"),f=[],h=0,p=0,d=0;d<i.length;d++){var m=i[d],g=r.getTile(m),v=g.getBucket(n);if(v){var y=m.posMatrix;0===a[0]&&0===a[1]||(y=e.translatePosMatrix(m.posMatrix,g,a,o));var x=s?v.textCollisionBox:v.iconCollisionBox,b=v.collisionCircleArray;if(b.length>0){var _=t.create(),w=y;t.mul(_,v.placementInvProjMatrix,e.transform.glCoordMatrix),t.mul(_,_,v.placementViewportMatrix),f.push({circleArray:b,circleOffset:p,transform:w,invTransform:_}),p=h+=b.length/4}x&&u.draw(l,c.LINES,Mt.disabled,At.disabled,e.colorModeForRenderPass(),Et.disabled,Cr(y,e.transform,g),n.id,x.layoutVertexBuffer,x.indexBuffer,x.segments,null,e.transform.zoom,null,null,x.collisionVertexBuffer)}}if(s&&f.length){var T=e.useProgram(\\\"collisionCircle\\\"),k=new t.StructArrayLayout2f1f2i16;k.resize(4*h),k._trim();for(var M=0,A=0,S=f;A<S.length;A+=1)for(var E=S[A],L=0;L<E.circleArray.length/4;L++){var C=4*L,P=E.circleArray[C+0],I=E.circleArray[C+1],O=E.circleArray[C+2],z=E.circleArray[C+3];k.emplace(M++,P,I,O,z,0),k.emplace(M++,P,I,O,z,1),k.emplace(M++,P,I,O,z,2),k.emplace(M++,P,I,O,z,3)}(!Hr||Hr.length<2*h)&&(Hr=function(e){var r=2*e,n=new t.StructArrayLayout3ui6;n.resize(r),n._trim();for(var i=0;i<r;i++){var a=6*i;n.uint16[a+0]=4*i+0,n.uint16[a+1]=4*i+1,n.uint16[a+2]=4*i+2,n.uint16[a+3]=4*i+2,n.uint16[a+4]=4*i+3,n.uint16[a+5]=4*i+0}return n}(h));for(var D=l.createIndexBuffer(Hr,!0),R=l.createVertexBuffer(k,t.collisionCircleLayout.members,!0),F=0,B=f;F<B.length;F+=1){var N=B[F],j=Pr(N.transform,N.invTransform,e.transform);T.draw(l,c.TRIANGLES,Mt.disabled,At.disabled,e.colorModeForRenderPass(),Et.disabled,j,n.id,R,D,t.SegmentVector.simpleSegment(0,2*N.circleOffset,N.circleArray.length,N.circleArray.length/2),null,e.transform.zoom,null,null,null)}R.destroy(),D.destroy()}}var Qr=t.identity(new Float32Array(16));function $r(e,r,n,i,a,o){var s=t.getAnchorAlignment(e),l=-(s.horizontalAlign-.5)*r,c=-(s.verticalAlign-.5)*n,u=t.evaluateVariableOffset(e,i);return new t.Point((l/a+u[0])*o,(c/a+u[1])*o)}function tn(e,r,n,i,a,o,s,l,c,u,f){var h=e.text.placedSymbolArray,p=e.text.dynamicLayoutVertexArray,d=e.icon.dynamicLayoutVertexArray,m={};p.clear();for(var g=0;g<h.length;g++){var v=h.get(g),y=e.allowVerticalPlacement&&!v.placedOrientation,x=v.hidden||!v.crossTileID||y?null:i[v.crossTileID];if(x){var b=new t.Point(v.anchorX,v.anchorY),_=te(b,n?l:s),w=ee(o.cameraToCenterDistance,_.signedDistanceFromCamera),T=a.evaluateSizeForFeature(e.textSizeData,u,v)*w/t.ONE_EM;n&&(T*=e.tilePixelRatio/c);for(var k=x.width,M=x.height,A=$r(x.anchor,k,M,x.textOffset,x.textBoxScale,T),S=n?te(b.add(A),s).point:_.point.add(r?A.rotate(-o.angle):A),E=e.allowVerticalPlacement&&v.placedOrientation===t.WritingMode.vertical?Math.PI/2:0,L=0;L<v.numGlyphs;L++)t.addDynamicAttributes(p,S,E);f&&v.associatedIconIndex>=0&&(m[v.associatedIconIndex]={shiftedAnchor:S,angle:E})}else ue(v.numGlyphs,p)}if(f){d.clear();for(var C=e.icon.placedSymbolArray,P=0;P<C.length;P++){var I=C.get(P);if(I.hidden)ue(I.numGlyphs,d);else{var O=m[P];if(O)for(var z=0;z<I.numGlyphs;z++)t.addDynamicAttributes(d,O.shiftedAnchor,O.angle);else ue(I.numGlyphs,d)}}e.icon.dynamicLayoutVertexBuffer.updateData(d)}e.text.dynamicLayoutVertexBuffer.updateData(p)}function en(t,e,r){return r.iconsInText&&e?\\\"symbolTextAndIcon\\\":t?\\\"symbolSDF\\\":\\\"symbolIcon\\\"}function rn(e,r,n,i,a,o,s,l,c,u,f,h){for(var p=e.context,d=p.gl,m=e.transform,g=\\\"map\\\"===l,v=\\\"map\\\"===c,y=g&&\\\"point\\\"!==n.layout.get(\\\"symbol-placement\\\"),x=g&&!v&&!y,b=void 0!==n.layout.get(\\\"symbol-sort-key\\\").constantOr(1),_=e.depthModeForSublayer(0,Mt.ReadOnly),w=n.layout.get(\\\"text-variable-anchor\\\"),T=[],k=0,M=i;k<M.length;k+=1){var A=M[k],S=r.getTile(A),E=S.getBucket(n);if(E){var L=a?E.text:E.icon;if(L&&L.segments.get().length){var C=L.programConfigurations.get(n.id),P=a||E.sdfIcons,I=a?E.textSizeData:E.iconSizeData,O=v||0!==m.pitch,z=e.useProgram(en(P,a,E),C),D=t.evaluateSizeForZoom(I,m.zoom),R=void 0,F=[0,0],B=void 0,N=void 0,j=null,U=void 0;if(a){if(B=S.glyphAtlasTexture,N=d.LINEAR,R=S.glyphAtlasTexture.size,E.iconsInText){F=S.imageAtlasTexture.size,j=S.imageAtlasTexture;var V=\\\"composite\\\"===I.kind||\\\"camera\\\"===I.kind;U=O||e.options.rotating||e.options.zooming||V?d.LINEAR:d.NEAREST}}else{var q=1!==n.layout.get(\\\"icon-size\\\").constantOr(0)||E.iconsNeedLinear;B=S.imageAtlasTexture,N=P||e.options.rotating||e.options.zooming||q||O?d.LINEAR:d.NEAREST,R=S.imageAtlasTexture.size}var H=pe(S,1,e.transform.zoom),G=Qt(A.posMatrix,v,g,e.transform,H),Y=$t(A.posMatrix,v,g,e.transform,H),W=w&&E.hasTextData(),X=\\\"none\\\"!==n.layout.get(\\\"icon-text-fit\\\")&&W&&E.hasIconData();y&&ne(E,A.posMatrix,e,a,G,Y,v,u);var Z=e.translatePosMatrix(A.posMatrix,S,o,s),J=y||a&&w||X?Qr:G,K=e.translatePosMatrix(Y,S,o,s,!0),Q=P&&0!==n.paint.get(a?\\\"text-halo-width\\\":\\\"icon-halo-width\\\").constantOr(1),$={program:z,buffers:L,uniformValues:P?E.iconsInText?Wr(I.kind,D,x,v,e,Z,J,K,R,F):Yr(I.kind,D,x,v,e,Z,J,K,a,R,!0):Gr(I.kind,D,x,v,e,Z,J,K,a,R),atlasTexture:B,atlasTextureIcon:j,atlasInterpolation:N,atlasInterpolationIcon:U,isSDF:P,hasHalo:Q};if(b)for(var tt=0,et=L.segments.get();tt<et.length;tt+=1){var rt=et[tt];T.push({segments:new t.SegmentVector([rt]),sortKey:rt.sortKey,state:$})}else T.push({segments:L.segments,sortKey:0,state:$})}}}b&&T.sort((function(t,e){return t.sortKey-e.sortKey}));for(var nt=0,it=T;nt<it.length;nt+=1){var at=it[nt],ot=at.state;if(p.activeTexture.set(d.TEXTURE0),ot.atlasTexture.bind(ot.atlasInterpolation,d.CLAMP_TO_EDGE),ot.atlasTextureIcon&&(p.activeTexture.set(d.TEXTURE1),ot.atlasTextureIcon&&ot.atlasTextureIcon.bind(ot.atlasInterpolationIcon,d.CLAMP_TO_EDGE)),ot.isSDF){var st=ot.uniformValues;ot.hasHalo&&(st.u_is_halo=1,nn(ot.buffers,at.segments,n,e,ot.program,_,f,h,st)),st.u_is_halo=0}nn(ot.buffers,at.segments,n,e,ot.program,_,f,h,ot.uniformValues)}}function nn(t,e,r,n,i,a,o,s,l){var c=n.context,u=c.gl;i.draw(c,u.TRIANGLES,a,o,s,Et.disabled,l,r.id,t.layoutVertexBuffer,t.indexBuffer,e,r.paint,n.transform.zoom,t.programConfigurations.get(r.id),t.dynamicLayoutVertexBuffer,t.opacityVertexBuffer)}function an(t,e,r,n,i,a,o){var s,l,c,u,f,h=t.context.gl,p=r.paint.get(\\\"fill-pattern\\\"),d=p&&p.constantOr(1),m=r.getCrossfadeParameters();o?(l=d&&!r.getPaintProperty(\\\"fill-outline-color\\\")?\\\"fillOutlinePattern\\\":\\\"fillOutline\\\",s=h.LINES):(l=d?\\\"fillPattern\\\":\\\"fill\\\",s=h.TRIANGLES);for(var g=0,v=n;g<v.length;g+=1){var y=v[g],x=e.getTile(y);if(!d||x.patternsLoaded()){var b=x.getBucket(r);if(b){var _=b.programConfigurations.get(r.id),w=t.useProgram(l,_);d&&(t.context.activeTexture.set(h.TEXTURE0),x.imageAtlasTexture.bind(h.LINEAR,h.CLAMP_TO_EDGE),_.updatePaintBuffers(m));var T=p.constantOr(null);if(T&&x.imageAtlas){var k=x.imageAtlas,M=k.patternPositions[T.to.toString()],A=k.patternPositions[T.from.toString()];M&&A&&_.setConstantPatternPositions(M,A)}var S=t.translatePosMatrix(y.posMatrix,x,r.paint.get(\\\"fill-translate\\\"),r.paint.get(\\\"fill-translate-anchor\\\"));if(o){u=b.indexBuffer2,f=b.segments2;var E=[h.drawingBufferWidth,h.drawingBufferHeight];c=\\\"fillOutlinePattern\\\"===l&&d?Er(S,t,m,x,E):Sr(S,E)}else u=b.indexBuffer,f=b.segments,c=d?Ar(S,t,m,x):Mr(S);w.draw(t.context,s,i,t.stencilModeForClipping(y),a,Et.disabled,c,r.id,b.layoutVertexBuffer,u,f,r.paint,t.transform.zoom,_)}}}}function on(t,e,r,n,i,a,o){for(var s=t.context,l=s.gl,c=r.paint.get(\\\"fill-extrusion-pattern\\\"),u=c.constantOr(1),f=r.getCrossfadeParameters(),h=r.paint.get(\\\"fill-extrusion-opacity\\\"),p=0,d=n;p<d.length;p+=1){var m=d[p],g=e.getTile(m),v=g.getBucket(r);if(v){var y=v.programConfigurations.get(r.id),x=t.useProgram(u?\\\"fillExtrusionPattern\\\":\\\"fillExtrusion\\\",y);u&&(t.context.activeTexture.set(l.TEXTURE0),g.imageAtlasTexture.bind(l.LINEAR,l.CLAMP_TO_EDGE),y.updatePaintBuffers(f));var b=c.constantOr(null);if(b&&g.imageAtlas){var _=g.imageAtlas,w=_.patternPositions[b.to.toString()],T=_.patternPositions[b.from.toString()];w&&T&&y.setConstantPatternPositions(w,T)}var k=t.translatePosMatrix(m.posMatrix,g,r.paint.get(\\\"fill-extrusion-translate\\\"),r.paint.get(\\\"fill-extrusion-translate-anchor\\\")),M=r.paint.get(\\\"fill-extrusion-vertical-gradient\\\"),A=u?kr(k,t,M,h,m,f,g):Tr(k,t,M,h);x.draw(s,s.gl.TRIANGLES,i,a,o,Et.backCCW,A,r.id,v.layoutVertexBuffer,v.indexBuffer,v.segments,r.paint,t.transform.zoom,y)}}}function sn(t,e,r,n,i,a){var o=t.context,s=o.gl,l=e.fbo;if(l){var c=t.useProgram(\\\"hillshade\\\");o.activeTexture.set(s.TEXTURE0),s.bindTexture(s.TEXTURE_2D,l.colorAttachment.get());var u=function(t,e,r){var n=r.paint.get(\\\"hillshade-shadow-color\\\"),i=r.paint.get(\\\"hillshade-highlight-color\\\"),a=r.paint.get(\\\"hillshade-accent-color\\\"),o=r.paint.get(\\\"hillshade-illumination-direction\\\")*(Math.PI/180);\\\"viewport\\\"===r.paint.get(\\\"hillshade-illumination-anchor\\\")&&(o-=t.transform.angle);var s=!t.options.moving;return{u_matrix:t.transform.calculatePosMatrix(e.tileID.toUnwrapped(),s),u_image:0,u_latrange:Dr(t,e.tileID),u_light:[r.paint.get(\\\"hillshade-exaggeration\\\"),o],u_shadow:n,u_highlight:i,u_accent:a}}(t,e,r);c.draw(o,s.TRIANGLES,n,i,a,Et.disabled,u,r.id,t.rasterBoundsBuffer,t.quadTriangleIndexBuffer,t.rasterBoundsSegments)}}function ln(e,r,n,i,a,o,s){var l=e.context,c=l.gl,u=r.dem;if(u&&u.data){var f=u.dim,h=u.stride,p=u.getPixels();if(l.activeTexture.set(c.TEXTURE1),l.pixelStoreUnpackPremultiplyAlpha.set(!1),r.demTexture=r.demTexture||e.getTileTexture(h),r.demTexture){var d=r.demTexture;d.update(p,{premultiply:!1}),d.bind(c.NEAREST,c.CLAMP_TO_EDGE)}else r.demTexture=new t.Texture(l,p,c.RGBA,{premultiply:!1}),r.demTexture.bind(c.NEAREST,c.CLAMP_TO_EDGE);l.activeTexture.set(c.TEXTURE0);var m=r.fbo;if(!m){var g=new t.Texture(l,{width:f,height:f,data:null},c.RGBA);g.bind(c.LINEAR,c.CLAMP_TO_EDGE),(m=r.fbo=l.createFramebuffer(f,f,!0)).colorAttachment.set(g.texture)}l.bindFramebuffer.set(m.framebuffer),l.viewport.set([0,0,f,f]),e.useProgram(\\\"hillshadePrepare\\\").draw(l,c.TRIANGLES,a,o,s,Et.disabled,function(e,r,n){var i=r.stride,a=t.create();return t.ortho(a,0,t.EXTENT,-t.EXTENT,0,0,1),t.translate(a,a,[0,-t.EXTENT,0]),{u_matrix:a,u_image:1,u_dimension:[i,i],u_zoom:e.overscaledZ,u_maxzoom:n,u_unpack:r.getUnpackVector()}}(r.tileID,u,i),n.id,e.rasterBoundsBuffer,e.quadTriangleIndexBuffer,e.rasterBoundsSegments),r.needsHillshadePrepare=!1}}function cn(e,r,n,i,a){var o=i.paint.get(\\\"raster-fade-duration\\\");if(o>0){var s=t.browser.now(),l=(s-e.timeAdded)/o,c=r?(s-r.timeAdded)/o:-1,u=n.getSource(),f=a.coveringZoomLevel({tileSize:u.tileSize,roundZoom:u.roundZoom}),h=!r||Math.abs(r.tileID.overscaledZ-f)>Math.abs(e.tileID.overscaledZ-f),p=h&&e.refreshedUponExpiration?1:t.clamp(h?l:1-c,0,1);return e.refreshedUponExpiration&&l>=1&&(e.refreshedUponExpiration=!1),r?{opacity:1,mix:1-p}:{opacity:p,mix:0}}return{opacity:1,mix:0}}var un=new t.Color(1,0,0,1),fn=new t.Color(0,1,0,1),hn=new t.Color(0,0,1,1),pn=new t.Color(1,0,1,1),dn=new t.Color(0,1,1,1);function mn(t){var e=t.transform.padding;gn(t,t.transform.height-(e.top||0),3,un),gn(t,e.bottom||0,3,fn),vn(t,e.left||0,3,hn),vn(t,t.transform.width-(e.right||0),3,pn);var r=t.transform.centerPoint;!function(t,e,r,n){yn(t,e-1,r-10,2,20,n),yn(t,e-10,r-1,20,2,n)}(t,r.x,t.transform.height-r.y,dn)}function gn(t,e,r,n){yn(t,0,e+r/2,t.transform.width,r,n)}function vn(t,e,r,n){yn(t,e-r/2,0,r,t.transform.height,n)}function yn(e,r,n,i,a,o){var s=e.context,l=s.gl;l.enable(l.SCISSOR_TEST),l.scissor(r*t.browser.devicePixelRatio,n*t.browser.devicePixelRatio,i*t.browser.devicePixelRatio,a*t.browser.devicePixelRatio),s.clear({color:o}),l.disable(l.SCISSOR_TEST)}function xn(e,r,n){var i=e.context,a=i.gl,o=n.posMatrix,s=e.useProgram(\\\"debug\\\"),l=Mt.disabled,c=At.disabled,u=e.colorModeForRenderPass();i.activeTexture.set(a.TEXTURE0),e.emptyTexture.bind(a.LINEAR,a.CLAMP_TO_EDGE),s.draw(i,a.LINE_STRIP,l,c,u,Et.disabled,Ir(o,t.Color.red),\\\"$debug\\\",e.debugBuffer,e.tileBorderIndexBuffer,e.debugSegments);var f=r.getTileByID(n.key).latestRawTileData,h=f&&f.byteLength||0,p=Math.floor(h/1024),d=r.getTile(n).tileSize,m=512/Math.min(d,512)*(n.overscaledZ/e.transform.zoom)*.5,g=n.canonical.toString();n.overscaledZ!==n.canonical.z&&(g+=\\\" => \\\"+n.overscaledZ),function(t,e){t.initDebugOverlayCanvas();var r=t.debugOverlayCanvas,n=t.context.gl,i=t.debugOverlayCanvas.getContext(\\\"2d\\\");i.clearRect(0,0,r.width,r.height),i.shadowColor=\\\"white\\\",i.shadowBlur=2,i.lineWidth=1.5,i.strokeStyle=\\\"white\\\",i.textBaseline=\\\"top\\\",i.font=\\\"bold 36px Open Sans, sans-serif\\\",i.fillText(e,5,5),i.strokeText(e,5,5),t.debugOverlayTexture.update(r),t.debugOverlayTexture.bind(n.LINEAR,n.CLAMP_TO_EDGE)}(e,g+\\\" \\\"+p+\\\"kb\\\"),s.draw(i,a.TRIANGLES,l,c,St.alphaBlended,Et.disabled,Ir(o,t.Color.transparent,m),\\\"$debug\\\",e.debugBuffer,e.quadTriangleIndexBuffer,e.debugSegments)}var bn={symbol:function(e,r,n,i,a){if(\\\"translucent\\\"===e.renderPass){var o=At.disabled,s=e.colorModeForRenderPass();n.layout.get(\\\"text-variable-anchor\\\")&&function(e,r,n,i,a,o,s){for(var l=r.transform,c=\\\"map\\\"===a,u=\\\"map\\\"===o,f=0,h=e;f<h.length;f+=1){var p=h[f],d=i.getTile(p),m=d.getBucket(n);if(m&&m.text&&m.text.segments.get().length){var g=m.textSizeData,v=t.evaluateSizeForZoom(g,l.zoom),y=pe(d,1,r.transform.zoom),x=Qt(p.posMatrix,u,c,r.transform,y),b=\\\"none\\\"!==n.layout.get(\\\"icon-text-fit\\\")&&m.hasIconData();if(v){var _=Math.pow(2,l.zoom-d.tileID.overscaledZ);tn(m,c,u,s,t.symbolSize,l,x,p.posMatrix,_,v,b)}}}}(i,e,n,r,n.layout.get(\\\"text-rotation-alignment\\\"),n.layout.get(\\\"text-pitch-alignment\\\"),a),0!==n.paint.get(\\\"icon-opacity\\\").constantOr(1)&&rn(e,r,n,i,!1,n.paint.get(\\\"icon-translate\\\"),n.paint.get(\\\"icon-translate-anchor\\\"),n.layout.get(\\\"icon-rotation-alignment\\\"),n.layout.get(\\\"icon-pitch-alignment\\\"),n.layout.get(\\\"icon-keep-upright\\\"),o,s),0!==n.paint.get(\\\"text-opacity\\\").constantOr(1)&&rn(e,r,n,i,!0,n.paint.get(\\\"text-translate\\\"),n.paint.get(\\\"text-translate-anchor\\\"),n.layout.get(\\\"text-rotation-alignment\\\"),n.layout.get(\\\"text-pitch-alignment\\\"),n.layout.get(\\\"text-keep-upright\\\"),o,s),r.map.showCollisionBoxes&&(Kr(e,r,n,i,n.paint.get(\\\"text-translate\\\"),n.paint.get(\\\"text-translate-anchor\\\"),!0),Kr(e,r,n,i,n.paint.get(\\\"icon-translate\\\"),n.paint.get(\\\"icon-translate-anchor\\\"),!1))}},circle:function(e,r,n,i){if(\\\"translucent\\\"===e.renderPass){var a=n.paint.get(\\\"circle-opacity\\\"),o=n.paint.get(\\\"circle-stroke-width\\\"),s=n.paint.get(\\\"circle-stroke-opacity\\\"),l=void 0!==n.layout.get(\\\"circle-sort-key\\\").constantOr(1);if(0!==a.constantOr(1)||0!==o.constantOr(1)&&0!==s.constantOr(1)){for(var c=e.context,u=c.gl,f=e.depthModeForSublayer(0,Mt.ReadOnly),h=At.disabled,p=e.colorModeForRenderPass(),d=[],m=0;m<i.length;m++){var g=i[m],v=r.getTile(g),y=v.getBucket(n);if(y){var x=y.programConfigurations.get(n.id),b={programConfiguration:x,program:e.useProgram(\\\"circle\\\",x),layoutVertexBuffer:y.layoutVertexBuffer,indexBuffer:y.indexBuffer,uniformValues:Lr(e,g,v,n)};if(l)for(var _=0,w=y.segments.get();_<w.length;_+=1){var T=w[_];d.push({segments:new t.SegmentVector([T]),sortKey:T.sortKey,state:b})}else d.push({segments:y.segments,sortKey:0,state:b})}}l&&d.sort((function(t,e){return t.sortKey-e.sortKey}));for(var k=0,M=d;k<M.length;k+=1){var A=M[k],S=A.state,E=S.programConfiguration,L=S.program,C=S.layoutVertexBuffer,P=S.indexBuffer,I=S.uniformValues,O=A.segments;L.draw(c,u.TRIANGLES,f,h,p,Et.disabled,I,n.id,C,P,O,n.paint,e.transform.zoom,E)}}}},heatmap:function(e,r,n,i){if(0!==n.paint.get(\\\"heatmap-opacity\\\"))if(\\\"offscreen\\\"===e.renderPass){var a=e.context,o=a.gl,s=At.disabled,l=new St([o.ONE,o.ONE],t.Color.transparent,[!0,!0,!0,!0]);!function(t,e,r){var n=t.gl;t.activeTexture.set(n.TEXTURE1),t.viewport.set([0,0,e.width/4,e.height/4]);var i=r.heatmapFbo;if(i)n.bindTexture(n.TEXTURE_2D,i.colorAttachment.get()),t.bindFramebuffer.set(i.framebuffer);else{var a=n.createTexture();n.bindTexture(n.TEXTURE_2D,a),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_S,n.CLAMP_TO_EDGE),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_T,n.CLAMP_TO_EDGE),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MIN_FILTER,n.LINEAR),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MAG_FILTER,n.LINEAR),i=r.heatmapFbo=t.createFramebuffer(e.width/4,e.height/4,!1),function(t,e,r,n){var i=t.gl,a=t.extRenderToTextureHalfFloat?t.extTextureHalfFloat.HALF_FLOAT_OES:i.UNSIGNED_BYTE;i.texImage2D(i.TEXTURE_2D,0,i.RGBA,e.width/4,e.height/4,0,i.RGBA,a,null),n.colorAttachment.set(r)}(t,e,a,i)}}(a,e,n),a.clear({color:t.Color.transparent});for(var c=0;c<i.length;c++){var u=i[c];if(!r.hasRenderableParent(u)){var f=r.getTile(u),h=f.getBucket(n);if(h){var p=h.programConfigurations.get(n.id),d=e.useProgram(\\\"heatmap\\\",p),m=e.transform.zoom;d.draw(a,o.TRIANGLES,Mt.disabled,s,l,Et.disabled,zr(u.posMatrix,f,m,n.paint.get(\\\"heatmap-intensity\\\")),n.id,h.layoutVertexBuffer,h.indexBuffer,h.segments,n.paint,e.transform.zoom,p)}}}a.viewport.set([0,0,e.width,e.height])}else\\\"translucent\\\"===e.renderPass&&(e.context.setColorMode(e.colorModeForRenderPass()),function(e,r){var n=e.context,i=n.gl,a=r.heatmapFbo;if(!a)return;n.activeTexture.set(i.TEXTURE0),i.bindTexture(i.TEXTURE_2D,a.colorAttachment.get()),n.activeTexture.set(i.TEXTURE1);var o=r.colorRampTexture;o||(o=r.colorRampTexture=new t.Texture(n,r.colorRamp,i.RGBA));o.bind(i.LINEAR,i.CLAMP_TO_EDGE),e.useProgram(\\\"heatmapTexture\\\").draw(n,i.TRIANGLES,Mt.disabled,At.disabled,e.colorModeForRenderPass(),Et.disabled,function(e,r,n,i){var a=t.create();t.ortho(a,0,e.width,e.height,0,0,1);var o=e.context.gl;return{u_matrix:a,u_world:[o.drawingBufferWidth,o.drawingBufferHeight],u_image:n,u_color_ramp:i,u_opacity:r.paint.get(\\\"heatmap-opacity\\\")}}(e,r,0,1),r.id,e.viewportBuffer,e.quadTriangleIndexBuffer,e.viewportSegments,r.paint,e.transform.zoom)}(e,n))},line:function(e,r,n,i){if(\\\"translucent\\\"===e.renderPass){var a=n.paint.get(\\\"line-opacity\\\"),o=n.paint.get(\\\"line-width\\\");if(0!==a.constantOr(1)&&0!==o.constantOr(1)){var s=e.depthModeForSublayer(0,Mt.ReadOnly),l=e.colorModeForRenderPass(),c=n.paint.get(\\\"line-dasharray\\\"),u=n.paint.get(\\\"line-pattern\\\"),f=u.constantOr(1),h=n.paint.get(\\\"line-gradient\\\"),p=n.getCrossfadeParameters(),d=f?\\\"linePattern\\\":c?\\\"lineSDF\\\":h?\\\"lineGradient\\\":\\\"line\\\",m=e.context,g=m.gl,v=!0;if(h){m.activeTexture.set(g.TEXTURE0);var y=n.gradientTexture;if(!n.gradient)return;y||(y=n.gradientTexture=new t.Texture(m,n.gradient,g.RGBA)),y.bind(g.LINEAR,g.CLAMP_TO_EDGE)}for(var x=0,b=i;x<b.length;x+=1){var _=b[x],w=r.getTile(_);if(!f||w.patternsLoaded()){var T=w.getBucket(n);if(T){var k=T.programConfigurations.get(n.id),M=e.context.program.get(),A=e.useProgram(d,k),S=v||A.program!==M,E=u.constantOr(null);if(E&&w.imageAtlas){var L=w.imageAtlas,C=L.patternPositions[E.to.toString()],P=L.patternPositions[E.from.toString()];C&&P&&k.setConstantPatternPositions(C,P)}var I=f?Br(e,w,n,p):c?Nr(e,w,n,c,p):h?Fr(e,w,n):Rr(e,w,n);f?(m.activeTexture.set(g.TEXTURE0),w.imageAtlasTexture.bind(g.LINEAR,g.CLAMP_TO_EDGE),k.updatePaintBuffers(p)):c&&(S||e.lineAtlas.dirty)&&(m.activeTexture.set(g.TEXTURE0),e.lineAtlas.bind(m)),A.draw(m,g.TRIANGLES,s,e.stencilModeForClipping(_),l,Et.disabled,I,n.id,T.layoutVertexBuffer,T.indexBuffer,T.segments,n.paint,e.transform.zoom,k),v=!1}}}}}},fill:function(e,r,n,i){var a=n.paint.get(\\\"fill-color\\\"),o=n.paint.get(\\\"fill-opacity\\\");if(0!==o.constantOr(1)){var s=e.colorModeForRenderPass(),l=n.paint.get(\\\"fill-pattern\\\"),c=e.opaquePassEnabledForLayer()&&!l.constantOr(1)&&1===a.constantOr(t.Color.transparent).a&&1===o.constantOr(0)?\\\"opaque\\\":\\\"translucent\\\";if(e.renderPass===c){var u=e.depthModeForSublayer(1,\\\"opaque\\\"===e.renderPass?Mt.ReadWrite:Mt.ReadOnly);an(e,r,n,i,u,s,!1)}if(\\\"translucent\\\"===e.renderPass&&n.paint.get(\\\"fill-antialias\\\")){var f=e.depthModeForSublayer(n.getPaintProperty(\\\"fill-outline-color\\\")?2:0,Mt.ReadOnly);an(e,r,n,i,f,s,!0)}}},\\\"fill-extrusion\\\":function(t,e,r,n){var i=r.paint.get(\\\"fill-extrusion-opacity\\\");if(0!==i&&\\\"translucent\\\"===t.renderPass){var a=new Mt(t.context.gl.LEQUAL,Mt.ReadWrite,t.depthRangeFor3D);if(1!==i||r.paint.get(\\\"fill-extrusion-pattern\\\").constantOr(1))on(t,e,r,n,a,At.disabled,St.disabled),on(t,e,r,n,a,t.stencilModeFor3D(),t.colorModeForRenderPass());else{var o=t.colorModeForRenderPass();on(t,e,r,n,a,At.disabled,o)}}},hillshade:function(t,e,r,n){if(\\\"offscreen\\\"===t.renderPass||\\\"translucent\\\"===t.renderPass){for(var i=t.context,a=e.getSource().maxzoom,o=t.depthModeForSublayer(0,Mt.ReadOnly),s=t.colorModeForRenderPass(),l=\\\"translucent\\\"===t.renderPass?t.stencilConfigForOverlap(n):[{},n],c=l[0],u=0,f=l[1];u<f.length;u+=1){var h=f[u],p=e.getTile(h);p.needsHillshadePrepare&&\\\"offscreen\\\"===t.renderPass?ln(t,p,r,a,o,At.disabled,s):\\\"translucent\\\"===t.renderPass&&sn(t,p,r,o,c[h.overscaledZ],s)}i.viewport.set([0,0,t.width,t.height])}},raster:function(t,e,r,n){if(\\\"translucent\\\"===t.renderPass&&0!==r.paint.get(\\\"raster-opacity\\\")&&n.length)for(var i=t.context,a=i.gl,o=e.getSource(),s=t.useProgram(\\\"raster\\\"),l=t.colorModeForRenderPass(),c=o instanceof I?[{},n]:t.stencilConfigForOverlap(n),u=c[0],f=c[1],h=f[f.length-1].overscaledZ,p=!t.options.moving,d=0,m=f;d<m.length;d+=1){var g=m[d],v=t.depthModeForSublayer(g.overscaledZ-h,1===r.paint.get(\\\"raster-opacity\\\")?Mt.ReadWrite:Mt.ReadOnly,a.LESS),y=e.getTile(g),x=t.transform.calculatePosMatrix(g.toUnwrapped(),p);y.registerFadeDuration(r.paint.get(\\\"raster-fade-duration\\\"));var b=e.findLoadedParent(g,0),_=cn(y,b,e,r,t.transform),w=void 0,T=void 0,k=\\\"nearest\\\"===r.paint.get(\\\"raster-resampling\\\")?a.NEAREST:a.LINEAR;i.activeTexture.set(a.TEXTURE0),y.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST),i.activeTexture.set(a.TEXTURE1),b?(b.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST),w=Math.pow(2,b.tileID.overscaledZ-y.tileID.overscaledZ),T=[y.tileID.canonical.x*w%1,y.tileID.canonical.y*w%1]):y.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST);var M=Vr(x,T||[0,0],w||1,_,r);o instanceof I?s.draw(i,a.TRIANGLES,v,At.disabled,l,Et.disabled,M,r.id,o.boundsBuffer,t.quadTriangleIndexBuffer,o.boundsSegments):s.draw(i,a.TRIANGLES,v,u[g.overscaledZ],l,Et.disabled,M,r.id,t.rasterBoundsBuffer,t.quadTriangleIndexBuffer,t.rasterBoundsSegments)}},background:function(t,e,r){var n=r.paint.get(\\\"background-color\\\"),i=r.paint.get(\\\"background-opacity\\\");if(0!==i){var a=t.context,o=a.gl,s=t.transform,l=s.tileSize,c=r.paint.get(\\\"background-pattern\\\");if(!t.isPatternMissing(c)){var u=!c&&1===n.a&&1===i&&t.opaquePassEnabledForLayer()?\\\"opaque\\\":\\\"translucent\\\";if(t.renderPass===u){var f=At.disabled,h=t.depthModeForSublayer(0,\\\"opaque\\\"===u?Mt.ReadWrite:Mt.ReadOnly),p=t.colorModeForRenderPass(),d=t.useProgram(c?\\\"backgroundPattern\\\":\\\"background\\\"),m=s.coveringTiles({tileSize:l});c&&(a.activeTexture.set(o.TEXTURE0),t.imageManager.bind(t.context));for(var g=r.getCrossfadeParameters(),v=0,y=m;v<y.length;v+=1){var x=y[v],b=t.transform.calculatePosMatrix(x.toUnwrapped()),_=c?Zr(b,i,t,c,{tileID:x,tileSize:l},g):Xr(b,i,n);d.draw(a,o.TRIANGLES,h,f,p,Et.disabled,_,r.id,t.tileExtentBuffer,t.quadTriangleIndexBuffer,t.tileExtentSegments)}}}}},debug:function(t,e,r){for(var n=0;n<r.length;n++)xn(t,e,r[n])},custom:function(t,e,r){var n=t.context,i=r.implementation;if(\\\"offscreen\\\"===t.renderPass){var a=i.prerender;a&&(t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),a.call(i,n.gl,t.transform.customLayerMatrix()),n.setDirty(),t.setBaseState())}else if(\\\"translucent\\\"===t.renderPass){t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),n.setStencilMode(At.disabled);var o=\\\"3d\\\"===i.renderingMode?new Mt(t.context.gl.LEQUAL,Mt.ReadWrite,t.depthRangeFor3D):t.depthModeForSublayer(0,Mt.ReadOnly);n.setDepthMode(o),i.render(n.gl,t.transform.customLayerMatrix()),n.setDirty(),t.setBaseState(),n.bindFramebuffer.set(null)}}},_n=function(t,e){this.context=new Lt(t),this.transform=e,this._tileTextures={},this.setup(),this.numSublayers=Ct.maxUnderzooming+Ct.maxOverzooming+1,this.depthEpsilon=1/Math.pow(2,16),this.crossTileSymbolIndex=new Ne,this.gpuTimers={}};_n.prototype.resize=function(e,r){if(this.width=e*t.browser.devicePixelRatio,this.height=r*t.browser.devicePixelRatio,this.context.viewport.set([0,0,this.width,this.height]),this.style)for(var n=0,i=this.style._order;n<i.length;n+=1){var a=i[n];this.style._layers[a].resize()}},_n.prototype.setup=function(){var e=this.context,r=new t.StructArrayLayout2i4;r.emplaceBack(0,0),r.emplaceBack(t.EXTENT,0),r.emplaceBack(0,t.EXTENT),r.emplaceBack(t.EXTENT,t.EXTENT),this.tileExtentBuffer=e.createVertexBuffer(r,Ge.members),this.tileExtentSegments=t.SegmentVector.simpleSegment(0,0,4,2);var n=new t.StructArrayLayout2i4;n.emplaceBack(0,0),n.emplaceBack(t.EXTENT,0),n.emplaceBack(0,t.EXTENT),n.emplaceBack(t.EXTENT,t.EXTENT),this.debugBuffer=e.createVertexBuffer(n,Ge.members),this.debugSegments=t.SegmentVector.simpleSegment(0,0,4,5);var i=new t.StructArrayLayout4i8;i.emplaceBack(0,0,0,0),i.emplaceBack(t.EXTENT,0,t.EXTENT,0),i.emplaceBack(0,t.EXTENT,0,t.EXTENT),i.emplaceBack(t.EXTENT,t.EXTENT,t.EXTENT,t.EXTENT),this.rasterBoundsBuffer=e.createVertexBuffer(i,P.members),this.rasterBoundsSegments=t.SegmentVector.simpleSegment(0,0,4,2);var a=new t.StructArrayLayout2i4;a.emplaceBack(0,0),a.emplaceBack(1,0),a.emplaceBack(0,1),a.emplaceBack(1,1),this.viewportBuffer=e.createVertexBuffer(a,Ge.members),this.viewportSegments=t.SegmentVector.simpleSegment(0,0,4,2);var o=new t.StructArrayLayout1ui2;o.emplaceBack(0),o.emplaceBack(1),o.emplaceBack(3),o.emplaceBack(2),o.emplaceBack(0),this.tileBorderIndexBuffer=e.createIndexBuffer(o);var s=new t.StructArrayLayout3ui6;s.emplaceBack(0,1,2),s.emplaceBack(2,1,3),this.quadTriangleIndexBuffer=e.createIndexBuffer(s),this.emptyTexture=new t.Texture(e,{width:1,height:1,data:new Uint8Array([0,0,0,0])},e.gl.RGBA);var l=this.context.gl;this.stencilClearMode=new At({func:l.ALWAYS,mask:0},0,255,l.ZERO,l.ZERO,l.ZERO)},_n.prototype.clearStencil=function(){var e=this.context,r=e.gl;this.nextStencilID=1,this.currentStencilSource=void 0;var n=t.create();t.ortho(n,0,this.width,this.height,0,0,1),t.scale(n,n,[r.drawingBufferWidth,r.drawingBufferHeight,0]),this.useProgram(\\\"clippingMask\\\").draw(e,r.TRIANGLES,Mt.disabled,this.stencilClearMode,St.disabled,Et.disabled,Or(n),\\\"$clipping\\\",this.viewportBuffer,this.quadTriangleIndexBuffer,this.viewportSegments)},_n.prototype._renderTileClippingMasks=function(t,e){if(this.currentStencilSource!==t.source&&t.isTileClipped()&&e&&e.length){this.currentStencilSource=t.source;var r=this.context,n=r.gl;this.nextStencilID+e.length>256&&this.clearStencil(),r.setColorMode(St.disabled),r.setDepthMode(Mt.disabled);var i=this.useProgram(\\\"clippingMask\\\");this._tileClippingMaskIDs={};for(var a=0,o=e;a<o.length;a+=1){var s=o[a],l=this._tileClippingMaskIDs[s.key]=this.nextStencilID++;i.draw(r,n.TRIANGLES,Mt.disabled,new At({func:n.ALWAYS,mask:0},l,255,n.KEEP,n.KEEP,n.REPLACE),St.disabled,Et.disabled,Or(s.posMatrix),\\\"$clipping\\\",this.tileExtentBuffer,this.quadTriangleIndexBuffer,this.tileExtentSegments)}}},_n.prototype.stencilModeFor3D=function(){this.currentStencilSource=void 0,this.nextStencilID+1>256&&this.clearStencil();var t=this.nextStencilID++,e=this.context.gl;return new At({func:e.NOTEQUAL,mask:255},t,255,e.KEEP,e.KEEP,e.REPLACE)},_n.prototype.stencilModeForClipping=function(t){var e=this.context.gl;return new At({func:e.EQUAL,mask:255},this._tileClippingMaskIDs[t.key],0,e.KEEP,e.KEEP,e.REPLACE)},_n.prototype.stencilConfigForOverlap=function(t){var e,r=this.context.gl,n=t.sort((function(t,e){return e.overscaledZ-t.overscaledZ})),i=n[n.length-1].overscaledZ,a=n[0].overscaledZ-i+1;if(a>1){this.currentStencilSource=void 0,this.nextStencilID+a>256&&this.clearStencil();for(var o={},s=0;s<a;s++)o[s+i]=new At({func:r.GEQUAL,mask:255},s+this.nextStencilID,255,r.KEEP,r.KEEP,r.REPLACE);return this.nextStencilID+=a,[o,n]}return[(e={},e[i]=At.disabled,e),n]},_n.prototype.colorModeForRenderPass=function(){var e=this.context.gl;if(this._showOverdrawInspector){return new St([e.CONSTANT_COLOR,e.ONE],new t.Color(1/8,1/8,1/8,0),[!0,!0,!0,!0])}return\\\"opaque\\\"===this.renderPass?St.unblended:St.alphaBlended},_n.prototype.depthModeForSublayer=function(t,e,r){if(!this.opaquePassEnabledForLayer())return Mt.disabled;var n=1-((1+this.currentLayer)*this.numSublayers+t)*this.depthEpsilon;return new Mt(r||this.context.gl.LEQUAL,e,[n,n])},_n.prototype.opaquePassEnabledForLayer=function(){return this.currentLayer<this.opaquePassCutoff},_n.prototype.render=function(e,r){var n=this;this.style=e,this.options=r,this.lineAtlas=e.lineAtlas,this.imageManager=e.imageManager,this.glyphManager=e.glyphManager,this.symbolFadeChange=e.placement.symbolFadeChange(t.browser.now()),this.imageManager.beginFrame();var i=this.style._order,a=this.style.sourceCaches;for(var o in a){var s=a[o];s.used&&s.prepare(this.context)}var l,c,u={},f={},h={};for(var p in a){var d=a[p];u[p]=d.getVisibleCoordinates(),f[p]=u[p].slice().reverse(),h[p]=d.getVisibleCoordinates(!0).reverse()}this.opaquePassCutoff=1/0;for(var m=0;m<i.length;m++){var g=i[m];if(this.style._layers[g].is3D()){this.opaquePassCutoff=m;break}}this.renderPass=\\\"offscreen\\\";for(var v=0,y=i;v<y.length;v+=1){var x=y[v],b=this.style._layers[x];if(b.hasOffscreenPass()&&!b.isHidden(this.transform.zoom)){var _=f[b.source];(\\\"custom\\\"===b.type||_.length)&&this.renderLayer(this,a[b.source],b,_)}}for(this.context.bindFramebuffer.set(null),this.context.clear({color:r.showOverdrawInspector?t.Color.black:t.Color.transparent,depth:1}),this.clearStencil(),this._showOverdrawInspector=r.showOverdrawInspector,this.depthRangeFor3D=[0,1-(e._order.length+2)*this.numSublayers*this.depthEpsilon],this.renderPass=\\\"opaque\\\",this.currentLayer=i.length-1;this.currentLayer>=0;this.currentLayer--){var w=this.style._layers[i[this.currentLayer]],T=a[w.source],k=u[w.source];this._renderTileClippingMasks(w,k),this.renderLayer(this,T,w,k)}for(this.renderPass=\\\"translucent\\\",this.currentLayer=0;this.currentLayer<i.length;this.currentLayer++){var M=this.style._layers[i[this.currentLayer]],A=a[M.source],S=(\\\"symbol\\\"===M.type?h:f)[M.source];this._renderTileClippingMasks(M,u[M.source]),this.renderLayer(this,A,M,S)}this.options.showTileBoundaries&&(t.values(this.style._layers).forEach((function(t){t.source&&!t.isHidden(n.transform.zoom)&&(t.source!==(c&&c.id)&&(c=n.style.sourceCaches[t.source]),(!l||l.getSource().maxzoom<c.getSource().maxzoom)&&(l=c))})),l&&bn.debug(this,l,l.getVisibleCoordinates()));this.options.showPadding&&mn(this),this.context.setDefault()},_n.prototype.renderLayer=function(t,e,r,n){r.isHidden(this.transform.zoom)||(\\\"background\\\"===r.type||\\\"custom\\\"===r.type||n.length)&&(this.id=r.id,this.gpuTimingStart(r),bn[r.type](t,e,r,n,this.style.placement.variableOffsets),this.gpuTimingEnd())},_n.prototype.gpuTimingStart=function(t){if(this.options.gpuTiming){var e=this.context.extTimerQuery,r=this.gpuTimers[t.id];r||(r=this.gpuTimers[t.id]={calls:0,cpuTime:0,query:e.createQueryEXT()}),r.calls++,e.beginQueryEXT(e.TIME_ELAPSED_EXT,r.query)}},_n.prototype.gpuTimingEnd=function(){if(this.options.gpuTiming){var t=this.context.extTimerQuery;t.endQueryEXT(t.TIME_ELAPSED_EXT)}},_n.prototype.collectGpuTimers=function(){var t=this.gpuTimers;return this.gpuTimers={},t},_n.prototype.queryGpuTimers=function(t){var e={};for(var r in t){var n=t[r],i=this.context.extTimerQuery,a=i.getQueryObjectEXT(n.query,i.QUERY_RESULT_EXT)/1e6;i.deleteQueryEXT(n.query),e[r]=a}return e},_n.prototype.translatePosMatrix=function(e,r,n,i,a){if(!n[0]&&!n[1])return e;var o=a?\\\"map\\\"===i?this.transform.angle:0:\\\"viewport\\\"===i?-this.transform.angle:0;if(o){var s=Math.sin(o),l=Math.cos(o);n=[n[0]*l-n[1]*s,n[0]*s+n[1]*l]}var c=[a?n[0]:pe(r,n[0],this.transform.zoom),a?n[1]:pe(r,n[1],this.transform.zoom),0],u=new Float32Array(16);return t.translate(u,e,c),u},_n.prototype.saveTileTexture=function(t){var e=this._tileTextures[t.size[0]];e?e.push(t):this._tileTextures[t.size[0]]=[t]},_n.prototype.getTileTexture=function(t){var e=this._tileTextures[t];return e&&e.length>0?e.pop():null},_n.prototype.isPatternMissing=function(t){if(!t)return!1;if(!t.from||!t.to)return!0;var e=this.imageManager.getPattern(t.from.toString()),r=this.imageManager.getPattern(t.to.toString());return!e||!r},_n.prototype.useProgram=function(t,e){this.cache=this.cache||{};var r=\\\"\\\"+t+(e?e.cacheKey:\\\"\\\")+(this._showOverdrawInspector?\\\"/overdraw\\\":\\\"\\\");return this.cache[r]||(this.cache[r]=new _r(this.context,xr[t],e,Jr[t],this._showOverdrawInspector)),this.cache[r]},_n.prototype.setCustomLayerDefaults=function(){this.context.unbindVAO(),this.context.cullFace.setDefault(),this.context.activeTexture.setDefault(),this.context.pixelStoreUnpack.setDefault(),this.context.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.context.pixelStoreUnpackFlipY.setDefault()},_n.prototype.setBaseState=function(){var t=this.context.gl;this.context.cullFace.set(!1),this.context.viewport.set([0,0,this.width,this.height]),this.context.blendEquation.set(t.FUNC_ADD)},_n.prototype.initDebugOverlayCanvas=function(){if(null==this.debugOverlayCanvas){this.debugOverlayCanvas=t.window.document.createElement(\\\"canvas\\\"),this.debugOverlayCanvas.width=512,this.debugOverlayCanvas.height=512;var e=this.context.gl;this.debugOverlayTexture=new t.Texture(this.context,this.debugOverlayCanvas,e.RGBA)}},_n.prototype.destroy=function(){this.emptyTexture.destroy(),this.debugOverlayTexture&&this.debugOverlayTexture.destroy()};var wn=function(t,e){this.points=t,this.planes=e};wn.fromInvProjectionMatrix=function(e,r,n){var i=Math.pow(2,n),a=[[-1,1,-1,1],[1,1,-1,1],[1,-1,-1,1],[-1,-1,-1,1],[-1,1,1,1],[1,1,1,1],[1,-1,1,1],[-1,-1,1,1]].map((function(r){return t.transformMat4([],r,e)})).map((function(e){return t.scale$1([],e,1/e[3]/r*i)})),o=[[0,1,2],[6,5,4],[0,3,7],[2,1,5],[3,2,6],[0,4,5]].map((function(e){var r=t.sub([],a[e[0]],a[e[1]]),n=t.sub([],a[e[2]],a[e[1]]),i=t.normalize([],t.cross([],r,n)),o=-t.dot(i,a[e[1]]);return i.concat(o)}));return new wn(a,o)};var Tn=function(e,r){this.min=e,this.max=r,this.center=t.scale$2([],t.add([],this.min,this.max),.5)};Tn.prototype.quadrant=function(e){for(var r=[e%2==0,e<2],n=t.clone$2(this.min),i=t.clone$2(this.max),a=0;a<r.length;a++)n[a]=r[a]?this.min[a]:this.center[a],i[a]=r[a]?this.center[a]:this.max[a];return i[2]=this.max[2],new Tn(n,i)},Tn.prototype.distanceX=function(t){return Math.max(Math.min(this.max[0],t[0]),this.min[0])-t[0]},Tn.prototype.distanceY=function(t){return Math.max(Math.min(this.max[1],t[1]),this.min[1])-t[1]},Tn.prototype.intersects=function(e){for(var r=[[this.min[0],this.min[1],0,1],[this.max[0],this.min[1],0,1],[this.max[0],this.max[1],0,1],[this.min[0],this.max[1],0,1]],n=!0,i=0;i<e.planes.length;i++){for(var a=e.planes[i],o=0,s=0;s<r.length;s++)o+=t.dot$1(a,r[s])>=0;if(0===o)return 0;o!==r.length&&(n=!1)}if(n)return 2;for(var l=0;l<3;l++){for(var c=Number.MAX_VALUE,u=-Number.MAX_VALUE,f=0;f<e.points.length;f++){var h=e.points[f][l]-this.min[l];c=Math.min(c,h),u=Math.max(u,h)}if(u<0||c>this.max[l]-this.min[l])return 0}return 1};var kn=function(t,e,r,n){if(void 0===t&&(t=0),void 0===e&&(e=0),void 0===r&&(r=0),void 0===n&&(n=0),isNaN(t)||t<0||isNaN(e)||e<0||isNaN(r)||r<0||isNaN(n)||n<0)throw new Error(\\\"Invalid value for edge-insets, top, bottom, left and right must all be numbers\\\");this.top=t,this.bottom=e,this.left=r,this.right=n};kn.prototype.interpolate=function(e,r,n){return null!=r.top&&null!=e.top&&(this.top=t.number(e.top,r.top,n)),null!=r.bottom&&null!=e.bottom&&(this.bottom=t.number(e.bottom,r.bottom,n)),null!=r.left&&null!=e.left&&(this.left=t.number(e.left,r.left,n)),null!=r.right&&null!=e.right&&(this.right=t.number(e.right,r.right,n)),this},kn.prototype.getCenter=function(e,r){var n=t.clamp((this.left+e-this.right)/2,0,e),i=t.clamp((this.top+r-this.bottom)/2,0,r);return new t.Point(n,i)},kn.prototype.equals=function(t){return this.top===t.top&&this.bottom===t.bottom&&this.left===t.left&&this.right===t.right},kn.prototype.clone=function(){return new kn(this.top,this.bottom,this.left,this.right)},kn.prototype.toJSON=function(){return{top:this.top,bottom:this.bottom,left:this.left,right:this.right}};var Mn=function(e,r,n,i,a){this.tileSize=512,this.maxValidLatitude=85.051129,this._renderWorldCopies=void 0===a||a,this._minZoom=e||0,this._maxZoom=r||22,this._minPitch=null==n?0:n,this._maxPitch=null==i?60:i,this.setMaxBounds(),this.width=0,this.height=0,this._center=new t.LngLat(0,0),this.zoom=0,this.angle=0,this._fov=.6435011087932844,this._pitch=0,this._unmodified=!0,this._edgeInsets=new kn,this._posMatrixCache={},this._alignedPosMatrixCache={}},An={minZoom:{configurable:!0},maxZoom:{configurable:!0},minPitch:{configurable:!0},maxPitch:{configurable:!0},renderWorldCopies:{configurable:!0},worldSize:{configurable:!0},centerOffset:{configurable:!0},size:{configurable:!0},bearing:{configurable:!0},pitch:{configurable:!0},fov:{configurable:!0},zoom:{configurable:!0},center:{configurable:!0},padding:{configurable:!0},centerPoint:{configurable:!0},unmodified:{configurable:!0},point:{configurable:!0}};Mn.prototype.clone=function(){var t=new Mn(this._minZoom,this._maxZoom,this._minPitch,this.maxPitch,this._renderWorldCopies);return t.tileSize=this.tileSize,t.latRange=this.latRange,t.width=this.width,t.height=this.height,t._center=this._center,t.zoom=this.zoom,t.angle=this.angle,t._fov=this._fov,t._pitch=this._pitch,t._unmodified=this._unmodified,t._edgeInsets=this._edgeInsets.clone(),t._calcMatrices(),t},An.minZoom.get=function(){return this._minZoom},An.minZoom.set=function(t){this._minZoom!==t&&(this._minZoom=t,this.zoom=Math.max(this.zoom,t))},An.maxZoom.get=function(){return this._maxZoom},An.maxZoom.set=function(t){this._maxZoom!==t&&(this._maxZoom=t,this.zoom=Math.min(this.zoom,t))},An.minPitch.get=function(){return this._minPitch},An.minPitch.set=function(t){this._minPitch!==t&&(this._minPitch=t,this.pitch=Math.max(this.pitch,t))},An.maxPitch.get=function(){return this._maxPitch},An.maxPitch.set=function(t){this._maxPitch!==t&&(this._maxPitch=t,this.pitch=Math.min(this.pitch,t))},An.renderWorldCopies.get=function(){return this._renderWorldCopies},An.renderWorldCopies.set=function(t){void 0===t?t=!0:null===t&&(t=!1),this._renderWorldCopies=t},An.worldSize.get=function(){return this.tileSize*this.scale},An.centerOffset.get=function(){return this.centerPoint._sub(this.size._div(2))},An.size.get=function(){return new t.Point(this.width,this.height)},An.bearing.get=function(){return-this.angle/Math.PI*180},An.bearing.set=function(e){var r=-t.wrap(e,-180,180)*Math.PI/180;this.angle!==r&&(this._unmodified=!1,this.angle=r,this._calcMatrices(),this.rotationMatrix=t.create$2(),t.rotate(this.rotationMatrix,this.rotationMatrix,this.angle))},An.pitch.get=function(){return this._pitch/Math.PI*180},An.pitch.set=function(e){var r=t.clamp(e,this.minPitch,this.maxPitch)/180*Math.PI;this._pitch!==r&&(this._unmodified=!1,this._pitch=r,this._calcMatrices())},An.fov.get=function(){return this._fov/Math.PI*180},An.fov.set=function(t){t=Math.max(.01,Math.min(60,t)),this._fov!==t&&(this._unmodified=!1,this._fov=t/180*Math.PI,this._calcMatrices())},An.zoom.get=function(){return this._zoom},An.zoom.set=function(t){var e=Math.min(Math.max(t,this.minZoom),this.maxZoom);this._zoom!==e&&(this._unmodified=!1,this._zoom=e,this.scale=this.zoomScale(e),this.tileZoom=Math.floor(e),this.zoomFraction=e-this.tileZoom,this._constrain(),this._calcMatrices())},An.center.get=function(){return this._center},An.center.set=function(t){t.lat===this._center.lat&&t.lng===this._center.lng||(this._unmodified=!1,this._center=t,this._constrain(),this._calcMatrices())},An.padding.get=function(){return this._edgeInsets.toJSON()},An.padding.set=function(t){this._edgeInsets.equals(t)||(this._unmodified=!1,this._edgeInsets.interpolate(this._edgeInsets,t,1),this._calcMatrices())},An.centerPoint.get=function(){return this._edgeInsets.getCenter(this.width,this.height)},Mn.prototype.isPaddingEqual=function(t){return this._edgeInsets.equals(t)},Mn.prototype.interpolatePadding=function(t,e,r){this._unmodified=!1,this._edgeInsets.interpolate(t,e,r),this._constrain(),this._calcMatrices()},Mn.prototype.coveringZoomLevel=function(t){var e=(t.roundZoom?Math.round:Math.floor)(this.zoom+this.scaleZoom(this.tileSize/t.tileSize));return Math.max(0,e)},Mn.prototype.getVisibleUnwrappedCoordinates=function(e){var r=[new t.UnwrappedTileID(0,e)];if(this._renderWorldCopies)for(var n=this.pointCoordinate(new t.Point(0,0)),i=this.pointCoordinate(new t.Point(this.width,0)),a=this.pointCoordinate(new t.Point(this.width,this.height)),o=this.pointCoordinate(new t.Point(0,this.height)),s=Math.floor(Math.min(n.x,i.x,a.x,o.x)),l=Math.floor(Math.max(n.x,i.x,a.x,o.x)),c=s-1;c<=l+1;c++)0!==c&&r.push(new t.UnwrappedTileID(c,e));return r},Mn.prototype.coveringTiles=function(e){var r=this.coveringZoomLevel(e),n=r;if(void 0!==e.minzoom&&r<e.minzoom)return[];void 0!==e.maxzoom&&r>e.maxzoom&&(r=e.maxzoom);var i=t.MercatorCoordinate.fromLngLat(this.center),a=Math.pow(2,r),o=[a*i.x,a*i.y,0],s=wn.fromInvProjectionMatrix(this.invProjMatrix,this.worldSize,r),l=e.minzoom||0;this.pitch<=60&&this._edgeInsets.top<.1&&(l=r);var c=function(t){return{aabb:new Tn([t*a,0,0],[(t+1)*a,a,0]),zoom:0,x:0,y:0,wrap:t,fullyVisible:!1}},u=[],f=[],h=r,p=e.reparseOverscaled?n:r;if(this._renderWorldCopies)for(var d=1;d<=3;d++)u.push(c(-d)),u.push(c(d));for(u.push(c(0));u.length>0;){var m=u.pop(),g=m.x,v=m.y,y=m.fullyVisible;if(!y){var x=m.aabb.intersects(s);if(0===x)continue;y=2===x}var b=m.aabb.distanceX(o),_=m.aabb.distanceY(o),w=Math.max(Math.abs(b),Math.abs(_)),T=3+(1<<h-m.zoom)-2;if(m.zoom===h||w>T&&m.zoom>=l)f.push({tileID:new t.OverscaledTileID(m.zoom===h?p:m.zoom,m.wrap,m.zoom,g,v),distanceSq:t.sqrLen([o[0]-.5-g,o[1]-.5-v])});else for(var k=0;k<4;k++){var M=(g<<1)+k%2,A=(v<<1)+(k>>1);u.push({aabb:m.aabb.quadrant(k),zoom:m.zoom+1,x:M,y:A,wrap:m.wrap,fullyVisible:y})}}return f.sort((function(t,e){return t.distanceSq-e.distanceSq})).map((function(t){return t.tileID}))},Mn.prototype.resize=function(t,e){this.width=t,this.height=e,this.pixelsToGLUnits=[2/t,-2/e],this._constrain(),this._calcMatrices()},An.unmodified.get=function(){return this._unmodified},Mn.prototype.zoomScale=function(t){return Math.pow(2,t)},Mn.prototype.scaleZoom=function(t){return Math.log(t)/Math.LN2},Mn.prototype.project=function(e){var r=t.clamp(e.lat,-this.maxValidLatitude,this.maxValidLatitude);return new t.Point(t.mercatorXfromLng(e.lng)*this.worldSize,t.mercatorYfromLat(r)*this.worldSize)},Mn.prototype.unproject=function(e){return new t.MercatorCoordinate(e.x/this.worldSize,e.y/this.worldSize).toLngLat()},An.point.get=function(){return this.project(this.center)},Mn.prototype.setLocationAtPoint=function(e,r){var n=this.pointCoordinate(r),i=this.pointCoordinate(this.centerPoint),a=this.locationCoordinate(e),o=new t.MercatorCoordinate(a.x-(n.x-i.x),a.y-(n.y-i.y));this.center=this.coordinateLocation(o),this._renderWorldCopies&&(this.center=this.center.wrap())},Mn.prototype.locationPoint=function(t){return this.coordinatePoint(this.locationCoordinate(t))},Mn.prototype.pointLocation=function(t){return this.coordinateLocation(this.pointCoordinate(t))},Mn.prototype.locationCoordinate=function(e){return t.MercatorCoordinate.fromLngLat(e)},Mn.prototype.coordinateLocation=function(t){return t.toLngLat()},Mn.prototype.pointCoordinate=function(e){var r=[e.x,e.y,0,1],n=[e.x,e.y,1,1];t.transformMat4(r,r,this.pixelMatrixInverse),t.transformMat4(n,n,this.pixelMatrixInverse);var i=r[3],a=n[3],o=r[0]/i,s=n[0]/a,l=r[1]/i,c=n[1]/a,u=r[2]/i,f=n[2]/a,h=u===f?0:(0-u)/(f-u);return new t.MercatorCoordinate(t.number(o,s,h)/this.worldSize,t.number(l,c,h)/this.worldSize)},Mn.prototype.coordinatePoint=function(e){var r=[e.x*this.worldSize,e.y*this.worldSize,0,1];return t.transformMat4(r,r,this.pixelMatrix),new t.Point(r[0]/r[3],r[1]/r[3])},Mn.prototype.getBounds=function(){return(new t.LngLatBounds).extend(this.pointLocation(new t.Point(0,0))).extend(this.pointLocation(new t.Point(this.width,0))).extend(this.pointLocation(new t.Point(this.width,this.height))).extend(this.pointLocation(new t.Point(0,this.height)))},Mn.prototype.getMaxBounds=function(){return this.latRange&&2===this.latRange.length&&this.lngRange&&2===this.lngRange.length?new t.LngLatBounds([this.lngRange[0],this.latRange[0]],[this.lngRange[1],this.latRange[1]]):null},Mn.prototype.setMaxBounds=function(t){t?(this.lngRange=[t.getWest(),t.getEast()],this.latRange=[t.getSouth(),t.getNorth()],this._constrain()):(this.lngRange=null,this.latRange=[-this.maxValidLatitude,this.maxValidLatitude])},Mn.prototype.calculatePosMatrix=function(e,r){void 0===r&&(r=!1);var n=e.key,i=r?this._alignedPosMatrixCache:this._posMatrixCache;if(i[n])return i[n];var a=e.canonical,o=this.worldSize/this.zoomScale(a.z),s=a.x+Math.pow(2,a.z)*e.wrap,l=t.identity(new Float64Array(16));return t.translate(l,l,[s*o,a.y*o,0]),t.scale(l,l,[o/t.EXTENT,o/t.EXTENT,1]),t.multiply(l,r?this.alignedProjMatrix:this.projMatrix,l),i[n]=new Float32Array(l),i[n]},Mn.prototype.customLayerMatrix=function(){return this.mercatorMatrix.slice()},Mn.prototype._constrain=function(){if(this.center&&this.width&&this.height&&!this._constraining){this._constraining=!0;var e,r,n,i,a=-90,o=90,s=-180,l=180,c=this.size,u=this._unmodified;if(this.latRange){var f=this.latRange;a=t.mercatorYfromLat(f[1])*this.worldSize,e=(o=t.mercatorYfromLat(f[0])*this.worldSize)-a<c.y?c.y/(o-a):0}if(this.lngRange){var h=this.lngRange;s=t.mercatorXfromLng(h[0])*this.worldSize,r=(l=t.mercatorXfromLng(h[1])*this.worldSize)-s<c.x?c.x/(l-s):0}var p=this.point,d=Math.max(r||0,e||0);if(d)return this.center=this.unproject(new t.Point(r?(l+s)/2:p.x,e?(o+a)/2:p.y)),this.zoom+=this.scaleZoom(d),this._unmodified=u,void(this._constraining=!1);if(this.latRange){var m=p.y,g=c.y/2;m-g<a&&(i=a+g),m+g>o&&(i=o-g)}if(this.lngRange){var v=p.x,y=c.x/2;v-y<s&&(n=s+y),v+y>l&&(n=l-y)}void 0===n&&void 0===i||(this.center=this.unproject(new t.Point(void 0!==n?n:p.x,void 0!==i?i:p.y))),this._unmodified=u,this._constraining=!1}},Mn.prototype._calcMatrices=function(){if(this.height){var e=this._fov/2,r=this.centerOffset;this.cameraToCenterDistance=.5/Math.tan(e)*this.height;var n=Math.PI/2+this._pitch,i=this._fov*(.5+r.y/this.height),a=Math.sin(i)*this.cameraToCenterDistance/Math.sin(t.clamp(Math.PI-n-i,.01,Math.PI-.01)),o=this.point,s=o.x,l=o.y,c=1.01*(Math.cos(Math.PI/2-this._pitch)*a+this.cameraToCenterDistance),u=this.height/50,f=new Float64Array(16);t.perspective(f,this._fov,this.width/this.height,u,c),f[8]=2*-r.x/this.width,f[9]=2*r.y/this.height,t.scale(f,f,[1,-1,1]),t.translate(f,f,[0,0,-this.cameraToCenterDistance]),t.rotateX(f,f,this._pitch),t.rotateZ(f,f,this.angle),t.translate(f,f,[-s,-l,0]),this.mercatorMatrix=t.scale([],f,[this.worldSize,this.worldSize,this.worldSize]),t.scale(f,f,[1,1,t.mercatorZfromAltitude(1,this.center.lat)*this.worldSize,1]),this.projMatrix=f,this.invProjMatrix=t.invert([],this.projMatrix);var h=this.width%2/2,p=this.height%2/2,d=Math.cos(this.angle),m=Math.sin(this.angle),g=s-Math.round(s)+d*h+m*p,v=l-Math.round(l)+d*p+m*h,y=new Float64Array(f);if(t.translate(y,y,[g>.5?g-1:g,v>.5?v-1:v,0]),this.alignedProjMatrix=y,f=t.create(),t.scale(f,f,[this.width/2,-this.height/2,1]),t.translate(f,f,[1,-1,0]),this.labelPlaneMatrix=f,f=t.create(),t.scale(f,f,[1,-1,1]),t.translate(f,f,[-1,-1,0]),t.scale(f,f,[2/this.width,2/this.height,1]),this.glCoordMatrix=f,this.pixelMatrix=t.multiply(new Float64Array(16),this.labelPlaneMatrix,this.projMatrix),!(f=t.invert(new Float64Array(16),this.pixelMatrix)))throw new Error(\\\"failed to invert matrix\\\");this.pixelMatrixInverse=f,this._posMatrixCache={},this._alignedPosMatrixCache={}}},Mn.prototype.maxPitchScaleFactor=function(){if(!this.pixelMatrixInverse)return 1;var e=this.pointCoordinate(new t.Point(0,0)),r=[e.x*this.worldSize,e.y*this.worldSize,0,1];return t.transformMat4(r,r,this.pixelMatrix)[3]/this.cameraToCenterDistance},Mn.prototype.getCameraPoint=function(){var e=this._pitch,r=Math.tan(e)*(this.cameraToCenterDistance||1);return this.centerPoint.add(new t.Point(0,r))},Mn.prototype.getCameraQueryGeometry=function(e){var r=this.getCameraPoint();if(1===e.length)return[e[0],r];for(var n=r.x,i=r.y,a=r.x,o=r.y,s=0,l=e;s<l.length;s+=1){var c=l[s];n=Math.min(n,c.x),i=Math.min(i,c.y),a=Math.max(a,c.x),o=Math.max(o,c.y)}return[new t.Point(n,i),new t.Point(a,i),new t.Point(a,o),new t.Point(n,o),new t.Point(n,i)]},Object.defineProperties(Mn.prototype,An);var Sn=function(e){var r,n,i,a,o;this._hashName=e&&encodeURIComponent(e),t.bindAll([\\\"_getCurrentHash\\\",\\\"_onHashChange\\\",\\\"_updateHash\\\"],this),this._updateHash=(r=this._updateHashUnthrottled.bind(this),n=300,i=!1,a=null,o=function(){a=null,i&&(r(),a=setTimeout(o,n),i=!1)},function(){return i=!0,a||o(),a})};Sn.prototype.addTo=function(e){return this._map=e,t.window.addEventListener(\\\"hashchange\\\",this._onHashChange,!1),this._map.on(\\\"moveend\\\",this._updateHash),this},Sn.prototype.remove=function(){return t.window.removeEventListener(\\\"hashchange\\\",this._onHashChange,!1),this._map.off(\\\"moveend\\\",this._updateHash),clearTimeout(this._updateHash()),delete this._map,this},Sn.prototype.getHashString=function(e){var r=this._map.getCenter(),n=Math.round(100*this._map.getZoom())/100,i=Math.ceil((n*Math.LN2+Math.log(512/360/.5))/Math.LN10),a=Math.pow(10,i),o=Math.round(r.lng*a)/a,s=Math.round(r.lat*a)/a,l=this._map.getBearing(),c=this._map.getPitch(),u=\\\"\\\";if(u+=e?\\\"/\\\"+o+\\\"/\\\"+s+\\\"/\\\"+n:n+\\\"/\\\"+s+\\\"/\\\"+o,(l||c)&&(u+=\\\"/\\\"+Math.round(10*l)/10),c&&(u+=\\\"/\\\"+Math.round(c)),this._hashName){var f=this._hashName,h=!1,p=t.window.location.hash.slice(1).split(\\\"&\\\").map((function(t){var e=t.split(\\\"=\\\")[0];return e===f?(h=!0,e+\\\"=\\\"+u):t})).filter((function(t){return t}));return h||p.push(f+\\\"=\\\"+u),\\\"#\\\"+p.join(\\\"&\\\")}return\\\"#\\\"+u},Sn.prototype._getCurrentHash=function(){var e,r=this,n=t.window.location.hash.replace(\\\"#\\\",\\\"\\\");return this._hashName?(n.split(\\\"&\\\").map((function(t){return t.split(\\\"=\\\")})).forEach((function(t){t[0]===r._hashName&&(e=t)})),(e&&e[1]||\\\"\\\").split(\\\"/\\\")):n.split(\\\"/\\\")},Sn.prototype._onHashChange=function(){var t=this._getCurrentHash();if(t.length>=3&&!t.some((function(t){return isNaN(t)}))){var e=this._map.dragRotate.isEnabled()&&this._map.touchZoomRotate.isEnabled()?+(t[3]||0):this._map.getBearing();return this._map.jumpTo({center:[+t[2],+t[1]],zoom:+t[0],bearing:e,pitch:+(t[4]||0)}),!0}return!1},Sn.prototype._updateHashUnthrottled=function(){var e=this.getHashString();try{t.window.history.replaceState(t.window.history.state,\\\"\\\",e)}catch(t){}};var En={linearity:.3,easing:t.bezier(0,0,.3,1)},Ln=t.extend({deceleration:2500,maxSpeed:1400},En),Cn=t.extend({deceleration:20,maxSpeed:1400},En),Pn=t.extend({deceleration:1e3,maxSpeed:360},En),In=t.extend({deceleration:1e3,maxSpeed:90},En),On=function(t){this._map=t,this.clear()};function zn(t,e){(!t.duration||t.duration<e.duration)&&(t.duration=e.duration,t.easing=e.easing)}function Dn(e,r,n){var i=n.maxSpeed,a=n.linearity,o=n.deceleration,s=t.clamp(e*a/(r/1e3),-i,i),l=Math.abs(s)/(o*a);return{easing:n.easing,duration:1e3*l,amount:s*(l/2)}}On.prototype.clear=function(){this._inertiaBuffer=[]},On.prototype.record=function(e){this._drainInertiaBuffer(),this._inertiaBuffer.push({time:t.browser.now(),settings:e})},On.prototype._drainInertiaBuffer=function(){for(var e=this._inertiaBuffer,r=t.browser.now();e.length>0&&r-e[0].time>160;)e.shift()},On.prototype._onMoveEnd=function(e){if(this._drainInertiaBuffer(),!(this._inertiaBuffer.length<2)){for(var r={zoom:0,bearing:0,pitch:0,pan:new t.Point(0,0),pinchAround:void 0,around:void 0},n=0,i=this._inertiaBuffer;n<i.length;n+=1){var a=i[n].settings;r.zoom+=a.zoomDelta||0,r.bearing+=a.bearingDelta||0,r.pitch+=a.pitchDelta||0,a.panDelta&&r.pan._add(a.panDelta),a.around&&(r.around=a.around),a.pinchAround&&(r.pinchAround=a.pinchAround)}var o=this._inertiaBuffer[this._inertiaBuffer.length-1].time-this._inertiaBuffer[0].time,s={};if(r.pan.mag()){var l=Dn(r.pan.mag(),o,t.extend({},Ln,e||{}));s.offset=r.pan.mult(l.amount/r.pan.mag()),s.center=this._map.transform.center,zn(s,l)}if(r.zoom){var c=Dn(r.zoom,o,Cn);s.zoom=this._map.transform.zoom+c.amount,zn(s,c)}if(r.bearing){var u=Dn(r.bearing,o,Pn);s.bearing=this._map.transform.bearing+t.clamp(u.amount,-179,179),zn(s,u)}if(r.pitch){var f=Dn(r.pitch,o,In);s.pitch=this._map.transform.pitch+f.amount,zn(s,f)}if(s.zoom||s.bearing){var h=void 0===r.pinchAround?r.around:r.pinchAround;s.around=h?this._map.unproject(h):this._map.getCenter()}return this.clear(),t.extend(s,{noMoveStart:!0})}};var Rn=function(e){function n(n,i,a,o){void 0===o&&(o={});var s=r.mousePos(i.getCanvasContainer(),a),l=i.unproject(s);e.call(this,n,t.extend({point:s,lngLat:l,originalEvent:a},o)),this._defaultPrevented=!1,this.target=i}e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n;var i={defaultPrevented:{configurable:!0}};return n.prototype.preventDefault=function(){this._defaultPrevented=!0},i.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(n.prototype,i),n}(t.Event),Fn=function(e){function n(n,i,a){var o=\\\"touchend\\\"===n?a.changedTouches:a.touches,s=r.touchPos(i.getCanvasContainer(),o),l=s.map((function(t){return i.unproject(t)})),c=s.reduce((function(t,e,r,n){return t.add(e.div(n.length))}),new t.Point(0,0)),u=i.unproject(c);e.call(this,n,{points:s,point:c,lngLats:l,lngLat:u,originalEvent:a}),this._defaultPrevented=!1}e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n;var i={defaultPrevented:{configurable:!0}};return n.prototype.preventDefault=function(){this._defaultPrevented=!0},i.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(n.prototype,i),n}(t.Event),Bn=function(t){function e(e,r,n){t.call(this,e,{originalEvent:n}),this._defaultPrevented=!1}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={defaultPrevented:{configurable:!0}};return e.prototype.preventDefault=function(){this._defaultPrevented=!0},r.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(e.prototype,r),e}(t.Event),Nn=function(t,e){this._map=t,this._clickTolerance=e.clickTolerance};Nn.prototype.reset=function(){delete this._mousedownPos},Nn.prototype.wheel=function(t){return this._firePreventable(new Bn(t.type,this._map,t))},Nn.prototype.mousedown=function(t,e){return this._mousedownPos=e,this._firePreventable(new Rn(t.type,this._map,t))},Nn.prototype.mouseup=function(t){this._map.fire(new Rn(t.type,this._map,t))},Nn.prototype.click=function(t,e){this._mousedownPos&&this._mousedownPos.dist(e)>=this._clickTolerance||this._map.fire(new Rn(t.type,this._map,t))},Nn.prototype.dblclick=function(t){return this._firePreventable(new Rn(t.type,this._map,t))},Nn.prototype.mouseover=function(t){this._map.fire(new Rn(t.type,this._map,t))},Nn.prototype.mouseout=function(t){this._map.fire(new Rn(t.type,this._map,t))},Nn.prototype.touchstart=function(t){return this._firePreventable(new Fn(t.type,this._map,t))},Nn.prototype.touchmove=function(t){this._map.fire(new Fn(t.type,this._map,t))},Nn.prototype.touchend=function(t){this._map.fire(new Fn(t.type,this._map,t))},Nn.prototype.touchcancel=function(t){this._map.fire(new Fn(t.type,this._map,t))},Nn.prototype._firePreventable=function(t){if(this._map.fire(t),t.defaultPrevented)return{}},Nn.prototype.isEnabled=function(){return!0},Nn.prototype.isActive=function(){return!1},Nn.prototype.enable=function(){},Nn.prototype.disable=function(){};var jn=function(t){this._map=t};jn.prototype.reset=function(){this._delayContextMenu=!1,delete this._contextMenuEvent},jn.prototype.mousemove=function(t){this._map.fire(new Rn(t.type,this._map,t))},jn.prototype.mousedown=function(){this._delayContextMenu=!0},jn.prototype.mouseup=function(){this._delayContextMenu=!1,this._contextMenuEvent&&(this._map.fire(new Rn(\\\"contextmenu\\\",this._map,this._contextMenuEvent)),delete this._contextMenuEvent)},jn.prototype.contextmenu=function(t){this._delayContextMenu?this._contextMenuEvent=t:this._map.fire(new Rn(t.type,this._map,t)),this._map.listens(\\\"contextmenu\\\")&&t.preventDefault()},jn.prototype.isEnabled=function(){return!0},jn.prototype.isActive=function(){return!1},jn.prototype.enable=function(){},jn.prototype.disable=function(){};var Un=function(t,e){this._map=t,this._el=t.getCanvasContainer(),this._container=t.getContainer(),this._clickTolerance=e.clickTolerance||1};function Vn(t,e){for(var r={},n=0;n<t.length;n++)r[t[n].identifier]=e[n];return r}Un.prototype.isEnabled=function(){return!!this._enabled},Un.prototype.isActive=function(){return!!this._active},Un.prototype.enable=function(){this.isEnabled()||(this._enabled=!0)},Un.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},Un.prototype.mousedown=function(t,e){this.isEnabled()&&t.shiftKey&&0===t.button&&(r.disableDrag(),this._startPos=this._lastPos=e,this._active=!0)},Un.prototype.mousemoveWindow=function(t,e){if(this._active){var n=e;if(!(this._lastPos.equals(n)||!this._box&&n.dist(this._startPos)<this._clickTolerance)){var i=this._startPos;this._lastPos=n,this._box||(this._box=r.create(\\\"div\\\",\\\"mapboxgl-boxzoom\\\",this._container),this._container.classList.add(\\\"mapboxgl-crosshair\\\"),this._fireEvent(\\\"boxzoomstart\\\",t));var a=Math.min(i.x,n.x),o=Math.max(i.x,n.x),s=Math.min(i.y,n.y),l=Math.max(i.y,n.y);r.setTransform(this._box,\\\"translate(\\\"+a+\\\"px,\\\"+s+\\\"px)\\\"),this._box.style.width=o-a+\\\"px\\\",this._box.style.height=l-s+\\\"px\\\"}}},Un.prototype.mouseupWindow=function(e,n){var i=this;if(this._active&&0===e.button){var a=this._startPos,o=n;if(this.reset(),r.suppressClick(),a.x!==o.x||a.y!==o.y)return this._map.fire(new t.Event(\\\"boxzoomend\\\",{originalEvent:e})),{cameraAnimation:function(t){return t.fitScreenCoordinates(a,o,i._map.getBearing(),{linear:!0})}};this._fireEvent(\\\"boxzoomcancel\\\",e)}},Un.prototype.keydown=function(t){this._active&&27===t.keyCode&&(this.reset(),this._fireEvent(\\\"boxzoomcancel\\\",t))},Un.prototype.reset=function(){this._active=!1,this._container.classList.remove(\\\"mapboxgl-crosshair\\\"),this._box&&(r.remove(this._box),this._box=null),r.enableDrag(),delete this._startPos,delete this._lastPos},Un.prototype._fireEvent=function(e,r){return this._map.fire(new t.Event(e,{originalEvent:r}))};var qn=function(t){this.reset(),this.numTouches=t.numTouches};qn.prototype.reset=function(){delete this.centroid,delete this.startTime,delete this.touches,this.aborted=!1},qn.prototype.touchstart=function(e,r,n){(this.centroid||n.length>this.numTouches)&&(this.aborted=!0),this.aborted||(void 0===this.startTime&&(this.startTime=e.timeStamp),n.length===this.numTouches&&(this.centroid=function(e){for(var r=new t.Point(0,0),n=0,i=e;n<i.length;n+=1){var a=i[n];r._add(a)}return r.div(e.length)}(r),this.touches=Vn(n,r)))},qn.prototype.touchmove=function(t,e,r){if(!this.aborted&&this.centroid){var n=Vn(r,e);for(var i in this.touches){var a=this.touches[i],o=n[i];(!o||o.dist(a)>30)&&(this.aborted=!0)}}},qn.prototype.touchend=function(t,e,r){if((!this.centroid||t.timeStamp-this.startTime>500)&&(this.aborted=!0),0===r.length){var n=!this.aborted&&this.centroid;if(this.reset(),n)return n}};var Hn=function(t){this.singleTap=new qn(t),this.numTaps=t.numTaps,this.reset()};Hn.prototype.reset=function(){this.lastTime=1/0,delete this.lastTap,this.count=0,this.singleTap.reset()},Hn.prototype.touchstart=function(t,e,r){this.singleTap.touchstart(t,e,r)},Hn.prototype.touchmove=function(t,e,r){this.singleTap.touchmove(t,e,r)},Hn.prototype.touchend=function(t,e,r){var n=this.singleTap.touchend(t,e,r);if(n){var i=t.timeStamp-this.lastTime<500,a=!this.lastTap||this.lastTap.dist(n)<30;if(i&&a||this.reset(),this.count++,this.lastTime=t.timeStamp,this.lastTap=n,this.count===this.numTaps)return this.reset(),n}};var Gn=function(){this._zoomIn=new Hn({numTouches:1,numTaps:2}),this._zoomOut=new Hn({numTouches:2,numTaps:1}),this.reset()};Gn.prototype.reset=function(){this._active=!1,this._zoomIn.reset(),this._zoomOut.reset()},Gn.prototype.touchstart=function(t,e,r){this._zoomIn.touchstart(t,e,r),this._zoomOut.touchstart(t,e,r)},Gn.prototype.touchmove=function(t,e,r){this._zoomIn.touchmove(t,e,r),this._zoomOut.touchmove(t,e,r)},Gn.prototype.touchend=function(t,e,r){var n=this,i=this._zoomIn.touchend(t,e,r),a=this._zoomOut.touchend(t,e,r);return i?(this._active=!0,t.preventDefault(),setTimeout((function(){return n.reset()}),0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()+1,around:e.unproject(i)},{originalEvent:t})}}):a?(this._active=!0,t.preventDefault(),setTimeout((function(){return n.reset()}),0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()-1,around:e.unproject(a)},{originalEvent:t})}}):void 0},Gn.prototype.touchcancel=function(){this.reset()},Gn.prototype.enable=function(){this._enabled=!0},Gn.prototype.disable=function(){this._enabled=!1,this.reset()},Gn.prototype.isEnabled=function(){return this._enabled},Gn.prototype.isActive=function(){return this._active};var Yn=function(t){this.reset(),this._clickTolerance=t.clickTolerance||1};Yn.prototype.reset=function(){this._active=!1,this._moved=!1,delete this._lastPoint,delete this._eventButton},Yn.prototype._correctButton=function(t,e){return!1},Yn.prototype._move=function(t,e){return{}},Yn.prototype.mousedown=function(t,e){if(!this._lastPoint){var n=r.mouseButton(t);this._correctButton(t,n)&&(this._lastPoint=e,this._eventButton=n)}},Yn.prototype.mousemoveWindow=function(t,e){var r=this._lastPoint;if(r&&(t.preventDefault(),this._moved||!(e.dist(r)<this._clickTolerance)))return this._moved=!0,this._lastPoint=e,this._move(r,e)},Yn.prototype.mouseupWindow=function(t){r.mouseButton(t)===this._eventButton&&(this._moved&&r.suppressClick(),this.reset())},Yn.prototype.enable=function(){this._enabled=!0},Yn.prototype.disable=function(){this._enabled=!1,this.reset()},Yn.prototype.isEnabled=function(){return this._enabled},Yn.prototype.isActive=function(){return this._active};var Wn=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.mousedown=function(e,r){t.prototype.mousedown.call(this,e,r),this._lastPoint&&(this._active=!0)},e.prototype._correctButton=function(t,e){return 0===e&&!t.ctrlKey},e.prototype._move=function(t,e){return{around:e,panDelta:e.sub(t)}},e}(Yn),Xn=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._correctButton=function(t,e){return 0===e&&t.ctrlKey||2===e},e.prototype._move=function(t,e){var r=.8*(e.x-t.x);if(r)return this._active=!0,{bearingDelta:r}},e.prototype.contextmenu=function(t){t.preventDefault()},e}(Yn),Zn=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._correctButton=function(t,e){return 0===e&&t.ctrlKey||2===e},e.prototype._move=function(t,e){var r=-.5*(e.y-t.y);if(r)return this._active=!0,{pitchDelta:r}},e.prototype.contextmenu=function(t){t.preventDefault()},e}(Yn),Jn=function(t){this._minTouches=1,this._clickTolerance=t.clickTolerance||1,this.reset()};Jn.prototype.reset=function(){this._active=!1,this._touches={},this._sum=new t.Point(0,0)},Jn.prototype.touchstart=function(t,e,r){return this._calculateTransform(t,e,r)},Jn.prototype.touchmove=function(t,e,r){if(this._active)return t.preventDefault(),this._calculateTransform(t,e,r)},Jn.prototype.touchend=function(t,e,r){this._calculateTransform(t,e,r),this._active&&r.length<this._minTouches&&this.reset()},Jn.prototype.touchcancel=function(){this.reset()},Jn.prototype._calculateTransform=function(e,r,n){n.length>0&&(this._active=!0);var i=Vn(n,r),a=new t.Point(0,0),o=new t.Point(0,0),s=0;for(var l in i){var c=i[l],u=this._touches[l];u&&(a._add(c),o._add(c.sub(u)),s++,i[l]=c)}if(this._touches=i,!(s<this._minTouches)&&o.mag()){var f=o.div(s);if(this._sum._add(f),!(this._sum.mag()<this._clickTolerance))return{around:a.div(s),panDelta:f}}},Jn.prototype.enable=function(){this._enabled=!0},Jn.prototype.disable=function(){this._enabled=!1,this.reset()},Jn.prototype.isEnabled=function(){return this._enabled},Jn.prototype.isActive=function(){return this._active};var Kn=function(){this.reset()};function Qn(t,e,r){for(var n=0;n<t.length;n++)if(t[n].identifier===r)return e[n]}Kn.prototype.reset=function(){this._active=!1,delete this._firstTwoTouches},Kn.prototype._start=function(t){},Kn.prototype._move=function(t,e,r){return{}},Kn.prototype.touchstart=function(t,e,r){this._firstTwoTouches||r.length<2||(this._firstTwoTouches=[r[0].identifier,r[1].identifier],this._start([e[0],e[1]]))},Kn.prototype.touchmove=function(t,e,r){if(this._firstTwoTouches){t.preventDefault();var n=this._firstTwoTouches,i=n[0],a=n[1],o=Qn(r,e,i),s=Qn(r,e,a);if(o&&s){var l=this._aroundCenter?null:o.add(s).div(2);return this._move([o,s],l,t)}}},Kn.prototype.touchend=function(t,e,n){if(this._firstTwoTouches){var i=this._firstTwoTouches,a=i[0],o=i[1],s=Qn(n,e,a),l=Qn(n,e,o);s&&l||(this._active&&r.suppressClick(),this.reset())}},Kn.prototype.touchcancel=function(){this.reset()},Kn.prototype.enable=function(t){this._enabled=!0,this._aroundCenter=!!t&&\\\"center\\\"===t.around},Kn.prototype.disable=function(){this._enabled=!1,this.reset()},Kn.prototype.isEnabled=function(){return this._enabled},Kn.prototype.isActive=function(){return this._active};function $n(t,e){return Math.log(t/e)/Math.LN2}var ti=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),delete this._distance,delete this._startDistance},e.prototype._start=function(t){this._startDistance=this._distance=t[0].dist(t[1])},e.prototype._move=function(t,e){var r=this._distance;if(this._distance=t[0].dist(t[1]),this._active||!(Math.abs($n(this._distance,this._startDistance))<.1))return this._active=!0,{zoomDelta:$n(this._distance,r),pinchAround:e}},e}(Kn);function ei(t,e){return 180*t.angleWith(e)/Math.PI}var ri=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),delete this._minDiameter,delete this._startVector,delete this._vector},e.prototype._start=function(t){this._startVector=this._vector=t[0].sub(t[1]),this._minDiameter=t[0].dist(t[1])},e.prototype._move=function(t,e){var r=this._vector;if(this._vector=t[0].sub(t[1]),this._active||!this._isBelowThreshold(this._vector))return this._active=!0,{bearingDelta:ei(this._vector,r),pinchAround:e}},e.prototype._isBelowThreshold=function(t){this._minDiameter=Math.min(this._minDiameter,t.mag());var e=25/(Math.PI*this._minDiameter)*360,r=ei(t,this._startVector);return Math.abs(r)<e},e}(Kn);function ni(t){return Math.abs(t.y)>Math.abs(t.x)}var ii=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),this._valid=void 0,delete this._firstMove,delete this._lastPoints},e.prototype._start=function(t){this._lastPoints=t,ni(t[0].sub(t[1]))&&(this._valid=!1)},e.prototype._move=function(t,e,r){var n=t[0].sub(this._lastPoints[0]),i=t[1].sub(this._lastPoints[1]);if(this._valid=this.gestureBeginsVertically(n,i,r.timeStamp),this._valid){this._lastPoints=t,this._active=!0;return{pitchDelta:-.5*((n.y+i.y)/2)}}},e.prototype.gestureBeginsVertically=function(t,e,r){if(void 0!==this._valid)return this._valid;var n=t.mag()>=2,i=e.mag()>=2;if(n||i){if(!n||!i)return void 0===this._firstMove&&(this._firstMove=r),r-this._firstMove<100&&void 0;var a=t.y>0==e.y>0;return ni(t)&&ni(e)&&a}},e}(Kn),ai={panStep:100,bearingStep:15,pitchStep:10},oi=function(){var t=ai;this._panStep=t.panStep,this._bearingStep=t.bearingStep,this._pitchStep=t.pitchStep};function si(t){return t*(2-t)}oi.prototype.reset=function(){this._active=!1},oi.prototype.keydown=function(t){var e=this;if(!(t.altKey||t.ctrlKey||t.metaKey)){var r=0,n=0,i=0,a=0,o=0;switch(t.keyCode){case 61:case 107:case 171:case 187:r=1;break;case 189:case 109:case 173:r=-1;break;case 37:t.shiftKey?n=-1:(t.preventDefault(),a=-1);break;case 39:t.shiftKey?n=1:(t.preventDefault(),a=1);break;case 38:t.shiftKey?i=1:(t.preventDefault(),o=-1);break;case 40:t.shiftKey?i=-1:(t.preventDefault(),o=1);break;default:return}return{cameraAnimation:function(s){var l=s.getZoom();s.easeTo({duration:300,easeId:\\\"keyboardHandler\\\",easing:si,zoom:r?Math.round(l)+r*(t.shiftKey?2:1):l,bearing:s.getBearing()+n*e._bearingStep,pitch:s.getPitch()+i*e._pitchStep,offset:[-a*e._panStep,-o*e._panStep],center:s.getCenter()},{originalEvent:t})}}}},oi.prototype.enable=function(){this._enabled=!0},oi.prototype.disable=function(){this._enabled=!1,this.reset()},oi.prototype.isEnabled=function(){return this._enabled},oi.prototype.isActive=function(){return this._active};var li=function(e,r){this._map=e,this._el=e.getCanvasContainer(),this._handler=r,this._delta=0,this._defaultZoomRate=.01,this._wheelZoomRate=1/450,t.bindAll([\\\"_onWheel\\\",\\\"_onTimeout\\\",\\\"_onScrollFrame\\\",\\\"_onScrollFinished\\\"],this)};li.prototype.setZoomRate=function(t){this._defaultZoomRate=t},li.prototype.setWheelZoomRate=function(t){this._wheelZoomRate=t},li.prototype.isEnabled=function(){return!!this._enabled},li.prototype.isActive=function(){return!!this._active||void 0!==this._finishTimeout},li.prototype.isZooming=function(){return!!this._zooming},li.prototype.enable=function(t){this.isEnabled()||(this._enabled=!0,this._aroundCenter=t&&\\\"center\\\"===t.around)},li.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},li.prototype.wheel=function(e){if(this.isEnabled()){var r=e.deltaMode===t.window.WheelEvent.DOM_DELTA_LINE?40*e.deltaY:e.deltaY,n=t.browser.now(),i=n-(this._lastWheelEventTime||0);this._lastWheelEventTime=n,0!==r&&r%4.000244140625==0?this._type=\\\"wheel\\\":0!==r&&Math.abs(r)<4?this._type=\\\"trackpad\\\":i>400?(this._type=null,this._lastValue=r,this._timeout=setTimeout(this._onTimeout,40,e)):this._type||(this._type=Math.abs(i*r)<200?\\\"trackpad\\\":\\\"wheel\\\",this._timeout&&(clearTimeout(this._timeout),this._timeout=null,r+=this._lastValue)),e.shiftKey&&r&&(r/=4),this._type&&(this._lastWheelEvent=e,this._delta-=r,this._active||this._start(e)),e.preventDefault()}},li.prototype._onTimeout=function(t){this._type=\\\"wheel\\\",this._delta-=this._lastValue,this._active||this._start(t)},li.prototype._start=function(e){if(this._delta){this._frameId&&(this._frameId=null),this._active=!0,this.isZooming()||(this._zooming=!0),this._finishTimeout&&(clearTimeout(this._finishTimeout),delete this._finishTimeout);var n=r.mousePos(this._el,e);this._around=t.LngLat.convert(this._aroundCenter?this._map.getCenter():this._map.unproject(n)),this._aroundPoint=this._map.transform.locationPoint(this._around),this._frameId||(this._frameId=!0,this._handler._triggerRenderFrame())}},li.prototype.renderFrame=function(){return this._onScrollFrame()},li.prototype._onScrollFrame=function(){var e=this;if(this._frameId&&(this._frameId=null,this.isActive())){var r=this._map.transform;if(0!==this._delta){var n=\\\"wheel\\\"===this._type&&Math.abs(this._delta)>4.000244140625?this._wheelZoomRate:this._defaultZoomRate,i=2/(1+Math.exp(-Math.abs(this._delta*n)));this._delta<0&&0!==i&&(i=1/i);var a=\\\"number\\\"==typeof this._targetZoom?r.zoomScale(this._targetZoom):r.scale;this._targetZoom=Math.min(r.maxZoom,Math.max(r.minZoom,r.scaleZoom(a*i))),\\\"wheel\\\"===this._type&&(this._startZoom=r.zoom,this._easing=this._smoothOutEasing(200)),this._delta=0}var o,s=\\\"number\\\"==typeof this._targetZoom?this._targetZoom:r.zoom,l=this._startZoom,c=this._easing,u=!1;if(\\\"wheel\\\"===this._type&&l&&c){var f=Math.min((t.browser.now()-this._lastWheelEventTime)/200,1),h=c(f);o=t.number(l,s,h),f<1?this._frameId||(this._frameId=!0):u=!0}else o=s,u=!0;return this._active=!0,u&&(this._active=!1,this._finishTimeout=setTimeout((function(){e._zooming=!1,e._handler._triggerRenderFrame(),delete e._targetZoom,delete e._finishTimeout}),200)),{noInertia:!0,needsRenderFrame:!u,zoomDelta:o-r.zoom,around:this._aroundPoint,originalEvent:this._lastWheelEvent}}},li.prototype._smoothOutEasing=function(e){var r=t.ease;if(this._prevEase){var n=this._prevEase,i=(t.browser.now()-n.start)/n.duration,a=n.easing(i+.01)-n.easing(i),o=.27/Math.sqrt(a*a+1e-4)*.01,s=Math.sqrt(.0729-o*o);r=t.bezier(o,s,.25,1)}return this._prevEase={start:t.browser.now(),duration:e,easing:r},r},li.prototype.reset=function(){this._active=!1};var ci=function(t,e){this._clickZoom=t,this._tapZoom=e};ci.prototype.enable=function(){this._clickZoom.enable(),this._tapZoom.enable()},ci.prototype.disable=function(){this._clickZoom.disable(),this._tapZoom.disable()},ci.prototype.isEnabled=function(){return this._clickZoom.isEnabled()&&this._tapZoom.isEnabled()},ci.prototype.isActive=function(){return this._clickZoom.isActive()||this._tapZoom.isActive()};var ui=function(){this.reset()};ui.prototype.reset=function(){this._active=!1},ui.prototype.dblclick=function(t,e){return t.preventDefault(),{cameraAnimation:function(r){r.easeTo({duration:300,zoom:r.getZoom()+(t.shiftKey?-1:1),around:r.unproject(e)},{originalEvent:t})}}},ui.prototype.enable=function(){this._enabled=!0},ui.prototype.disable=function(){this._enabled=!1,this.reset()},ui.prototype.isEnabled=function(){return this._enabled},ui.prototype.isActive=function(){return this._active};var fi=function(){this._tap=new Hn({numTouches:1,numTaps:1}),this.reset()};fi.prototype.reset=function(){this._active=!1,delete this._swipePoint,delete this._swipeTouch,delete this._tapTime,this._tap.reset()},fi.prototype.touchstart=function(t,e,r){this._swipePoint||(this._tapTime&&t.timeStamp-this._tapTime>500&&this.reset(),this._tapTime?r.length>0&&(this._swipePoint=e[0],this._swipeTouch=r[0].identifier):this._tap.touchstart(t,e,r))},fi.prototype.touchmove=function(t,e,r){if(this._tapTime){if(this._swipePoint){if(r[0].identifier!==this._swipeTouch)return;var n=e[0],i=n.y-this._swipePoint.y;return this._swipePoint=n,t.preventDefault(),this._active=!0,{zoomDelta:i/128}}}else this._tap.touchmove(t,e,r)},fi.prototype.touchend=function(t,e,r){this._tapTime?this._swipePoint&&0===r.length&&this.reset():this._tap.touchend(t,e,r)&&(this._tapTime=t.timeStamp)},fi.prototype.touchcancel=function(){this.reset()},fi.prototype.enable=function(){this._enabled=!0},fi.prototype.disable=function(){this._enabled=!1,this.reset()},fi.prototype.isEnabled=function(){return this._enabled},fi.prototype.isActive=function(){return this._active};var hi=function(t,e,r){this._el=t,this._mousePan=e,this._touchPan=r};hi.prototype.enable=function(t){this._inertiaOptions=t||{},this._mousePan.enable(),this._touchPan.enable(),this._el.classList.add(\\\"mapboxgl-touch-drag-pan\\\")},hi.prototype.disable=function(){this._mousePan.disable(),this._touchPan.disable(),this._el.classList.remove(\\\"mapboxgl-touch-drag-pan\\\")},hi.prototype.isEnabled=function(){return this._mousePan.isEnabled()&&this._touchPan.isEnabled()},hi.prototype.isActive=function(){return this._mousePan.isActive()||this._touchPan.isActive()};var pi=function(t,e,r){this._pitchWithRotate=t.pitchWithRotate,this._mouseRotate=e,this._mousePitch=r};pi.prototype.enable=function(){this._mouseRotate.enable(),this._pitchWithRotate&&this._mousePitch.enable()},pi.prototype.disable=function(){this._mouseRotate.disable(),this._mousePitch.disable()},pi.prototype.isEnabled=function(){return this._mouseRotate.isEnabled()&&(!this._pitchWithRotate||this._mousePitch.isEnabled())},pi.prototype.isActive=function(){return this._mouseRotate.isActive()||this._mousePitch.isActive()};var di=function(t,e,r,n){this._el=t,this._touchZoom=e,this._touchRotate=r,this._tapDragZoom=n,this._rotationDisabled=!1,this._enabled=!0};di.prototype.enable=function(t){this._touchZoom.enable(t),this._rotationDisabled||this._touchRotate.enable(t),this._tapDragZoom.enable(),this._el.classList.add(\\\"mapboxgl-touch-zoom-rotate\\\")},di.prototype.disable=function(){this._touchZoom.disable(),this._touchRotate.disable(),this._tapDragZoom.disable(),this._el.classList.remove(\\\"mapboxgl-touch-zoom-rotate\\\")},di.prototype.isEnabled=function(){return this._touchZoom.isEnabled()&&(this._rotationDisabled||this._touchRotate.isEnabled())&&this._tapDragZoom.isEnabled()},di.prototype.isActive=function(){return this._touchZoom.isActive()||this._touchRotate.isActive()||this._tapDragZoom.isActive()},di.prototype.disableRotation=function(){this._rotationDisabled=!0,this._touchRotate.disable()},di.prototype.enableRotation=function(){this._rotationDisabled=!1,this._touchZoom.isEnabled()&&this._touchRotate.enable()};var mi=function(t){return t.zoom||t.drag||t.pitch||t.rotate},gi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(t.Event);function vi(t){return t.panDelta&&t.panDelta.mag()||t.zoomDelta||t.bearingDelta||t.pitchDelta}var yi=function(e,n){this._map=e,this._el=this._map.getCanvasContainer(),this._handlers=[],this._handlersById={},this._changes=[],this._inertia=new On(e),this._bearingSnap=n.bearingSnap,this._previousActiveHandlers={},this._eventsInProgress={},this._addDefaultHandlers(n),t.bindAll([\\\"handleEvent\\\",\\\"handleWindowEvent\\\"],this);var i=this._el;this._listeners=[[i,\\\"touchstart\\\",{passive:!1}],[i,\\\"touchmove\\\",{passive:!1}],[i,\\\"touchend\\\",void 0],[i,\\\"touchcancel\\\",void 0],[i,\\\"mousedown\\\",void 0],[i,\\\"mousemove\\\",void 0],[i,\\\"mouseup\\\",void 0],[t.window.document,\\\"mousemove\\\",{capture:!0}],[t.window.document,\\\"mouseup\\\",void 0],[i,\\\"mouseover\\\",void 0],[i,\\\"mouseout\\\",void 0],[i,\\\"dblclick\\\",void 0],[i,\\\"click\\\",void 0],[i,\\\"keydown\\\",{capture:!1}],[i,\\\"keyup\\\",void 0],[i,\\\"wheel\\\",{passive:!1}],[i,\\\"contextmenu\\\",void 0],[t.window,\\\"blur\\\",void 0]];for(var a=0,o=this._listeners;a<o.length;a+=1){var s=o[a],l=s[0],c=s[1],u=s[2];r.addEventListener(l,c,l===t.window.document?this.handleWindowEvent:this.handleEvent,u)}};yi.prototype.destroy=function(){for(var e=0,n=this._listeners;e<n.length;e+=1){var i=n[e],a=i[0],o=i[1],s=i[2];r.removeEventListener(a,o,a===t.window.document?this.handleWindowEvent:this.handleEvent,s)}},yi.prototype._addDefaultHandlers=function(t){var e=this._map,r=e.getCanvasContainer();this._add(\\\"mapEvent\\\",new Nn(e,t));var n=e.boxZoom=new Un(e,t);this._add(\\\"boxZoom\\\",n);var i=new Gn,a=new ui;e.doubleClickZoom=new ci(a,i),this._add(\\\"tapZoom\\\",i),this._add(\\\"clickZoom\\\",a);var o=new fi;this._add(\\\"tapDragZoom\\\",o);var s=e.touchPitch=new ii;this._add(\\\"touchPitch\\\",s);var l=new Xn(t),c=new Zn(t);e.dragRotate=new pi(t,l,c),this._add(\\\"mouseRotate\\\",l,[\\\"mousePitch\\\"]),this._add(\\\"mousePitch\\\",c,[\\\"mouseRotate\\\"]);var u=new Wn(t),f=new Jn(t);e.dragPan=new hi(r,u,f),this._add(\\\"mousePan\\\",u),this._add(\\\"touchPan\\\",f,[\\\"touchZoom\\\",\\\"touchRotate\\\"]);var h=new ri,p=new ti;e.touchZoomRotate=new di(r,p,h,o),this._add(\\\"touchRotate\\\",h,[\\\"touchPan\\\",\\\"touchZoom\\\"]),this._add(\\\"touchZoom\\\",p,[\\\"touchPan\\\",\\\"touchRotate\\\"]);var d=e.scrollZoom=new li(e,this);this._add(\\\"scrollZoom\\\",d,[\\\"mousePan\\\"]);var m=e.keyboard=new oi;this._add(\\\"keyboard\\\",m),this._add(\\\"blockableMapEvent\\\",new jn(e));for(var g=0,v=[\\\"boxZoom\\\",\\\"doubleClickZoom\\\",\\\"tapDragZoom\\\",\\\"touchPitch\\\",\\\"dragRotate\\\",\\\"dragPan\\\",\\\"touchZoomRotate\\\",\\\"scrollZoom\\\",\\\"keyboard\\\"];g<v.length;g+=1){var y=v[g];t.interactive&&t[y]&&e[y].enable(t[y])}},yi.prototype._add=function(t,e,r){this._handlers.push({handlerName:t,handler:e,allowed:r}),this._handlersById[t]=e},yi.prototype.stop=function(){if(!this._updatingCamera){for(var t=0,e=this._handlers;t<e.length;t+=1){e[t].handler.reset()}this._inertia.clear(),this._fireEvents({},{}),this._changes=[]}},yi.prototype.isActive=function(){for(var t=0,e=this._handlers;t<e.length;t+=1){if(e[t].handler.isActive())return!0}return!1},yi.prototype.isZooming=function(){return!!this._eventsInProgress.zoom||this._map.scrollZoom.isZooming()},yi.prototype.isRotating=function(){return!!this._eventsInProgress.rotate},yi.prototype.isMoving=function(){return Boolean(mi(this._eventsInProgress))||this.isZooming()},yi.prototype._blockedByActive=function(t,e,r){for(var n in t)if(n!==r&&(!e||e.indexOf(n)<0))return!0;return!1},yi.prototype.handleWindowEvent=function(t){this.handleEvent(t,t.type+\\\"Window\\\")},yi.prototype._getMapTouches=function(t){for(var e=[],r=0,n=t;r<n.length;r+=1){var i=n[r],a=i.target;this._el.contains(a)&&e.push(i)}return e},yi.prototype.handleEvent=function(t,e){if(\\\"blur\\\"!==t.type){this._updatingCamera=!0;for(var n=\\\"renderFrame\\\"===t.type?void 0:t,i={needsRenderFrame:!1},a={},o={},s=t.touches?this._getMapTouches(t.touches):void 0,l=s?r.touchPos(this._el,s):r.mousePos(this._el,t),c=0,u=this._handlers;c<u.length;c+=1){var f=u[c],h=f.handlerName,p=f.handler,d=f.allowed;if(p.isEnabled()){var m=void 0;this._blockedByActive(o,d,h)?p.reset():p[e||t.type]&&(m=p[e||t.type](t,l,s),this.mergeHandlerResult(i,a,m,h,n),m&&m.needsRenderFrame&&this._triggerRenderFrame()),(m||p.isActive())&&(o[h]=p)}}var g={};for(var v in this._previousActiveHandlers)o[v]||(g[v]=n);this._previousActiveHandlers=o,(Object.keys(g).length||vi(i))&&(this._changes.push([i,a,g]),this._triggerRenderFrame()),(Object.keys(o).length||vi(i))&&this._map._stop(!0),this._updatingCamera=!1;var y=i.cameraAnimation;y&&(this._inertia.clear(),this._fireEvents({},{}),this._changes=[],y(this._map))}else this.stop()},yi.prototype.mergeHandlerResult=function(e,r,n,i,a){if(n){t.extend(e,n);var o={handlerName:i,originalEvent:n.originalEvent||a};void 0!==n.zoomDelta&&(r.zoom=o),void 0!==n.panDelta&&(r.drag=o),void 0!==n.pitchDelta&&(r.pitch=o),void 0!==n.bearingDelta&&(r.rotate=o)}},yi.prototype._applyChanges=function(){for(var e={},r={},n={},i=0,a=this._changes;i<a.length;i+=1){var o=a[i],s=o[0],l=o[1],c=o[2];s.panDelta&&(e.panDelta=(e.panDelta||new t.Point(0,0))._add(s.panDelta)),s.zoomDelta&&(e.zoomDelta=(e.zoomDelta||0)+s.zoomDelta),s.bearingDelta&&(e.bearingDelta=(e.bearingDelta||0)+s.bearingDelta),s.pitchDelta&&(e.pitchDelta=(e.pitchDelta||0)+s.pitchDelta),void 0!==s.around&&(e.around=s.around),void 0!==s.pinchAround&&(e.pinchAround=s.pinchAround),s.noInertia&&(e.noInertia=s.noInertia),t.extend(r,l),t.extend(n,c)}this._updateMapTransform(e,r,n),this._changes=[]},yi.prototype._updateMapTransform=function(t,e,r){var n=this._map,i=n.transform;if(!vi(t))return this._fireEvents(e,r);var a=t.panDelta,o=t.zoomDelta,s=t.bearingDelta,l=t.pitchDelta,c=t.around,u=t.pinchAround;void 0!==u&&(c=u),n._stop(!0),c=c||n.transform.centerPoint;var f=i.pointLocation(a?c.sub(a):c);s&&(i.bearing+=s),l&&(i.pitch+=l),o&&(i.zoom+=o),i.setLocationAtPoint(f,c),this._map._update(),t.noInertia||this._inertia.record(t),this._fireEvents(e,r)},yi.prototype._fireEvents=function(e,r){var n=this,i=mi(this._eventsInProgress),a=mi(e),o={};for(var s in e){var l=e[s].originalEvent;this._eventsInProgress[s]||(o[s+\\\"start\\\"]=l),this._eventsInProgress[s]=e[s]}for(var c in!i&&a&&this._fireEvent(\\\"movestart\\\",a.originalEvent),o)this._fireEvent(c,o[c]);for(var u in e.rotate&&(this._bearingChanged=!0),a&&this._fireEvent(\\\"move\\\",a.originalEvent),e){var f=e[u].originalEvent;this._fireEvent(u,f)}var h,p={};for(var d in this._eventsInProgress){var m=this._eventsInProgress[d],g=m.handlerName,v=m.originalEvent;this._handlersById[g].isActive()||(delete this._eventsInProgress[d],h=r[g]||v,p[d+\\\"end\\\"]=h)}for(var y in p)this._fireEvent(y,p[y]);var x=mi(this._eventsInProgress);if((i||a)&&!x){this._updatingCamera=!0;var b=this._inertia._onMoveEnd(this._map.dragPan._inertiaOptions),_=function(t){return 0!==t&&-n._bearingSnap<t&&t<n._bearingSnap};b?(_(b.bearing||this._map.getBearing())&&(b.bearing=0),this._map.easeTo(b,{originalEvent:h})):(this._map.fire(new t.Event(\\\"moveend\\\",{originalEvent:h})),_(this._map.getBearing())&&this._map.resetNorth()),this._bearingChanged=!1,this._updatingCamera=!1}},yi.prototype._fireEvent=function(e,r){this._map.fire(new t.Event(e,r?{originalEvent:r}:{}))},yi.prototype._triggerRenderFrame=function(){var t=this;void 0===this._frameId&&(this._frameId=this._map._requestRenderFrame((function(e){delete t._frameId,t.handleEvent(new gi(\\\"renderFrame\\\",{timeStamp:e})),t._applyChanges()})))};var xi=function(e){function r(r,n){e.call(this),this._moving=!1,this._zooming=!1,this.transform=r,this._bearingSnap=n.bearingSnap,t.bindAll([\\\"_renderFrameCallback\\\"],this)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getCenter=function(){return new t.LngLat(this.transform.center.lng,this.transform.center.lat)},r.prototype.setCenter=function(t,e){return this.jumpTo({center:t},e)},r.prototype.panBy=function(e,r,n){return e=t.Point.convert(e).mult(-1),this.panTo(this.transform.center,t.extend({offset:e},r),n)},r.prototype.panTo=function(e,r,n){return this.easeTo(t.extend({center:e},r),n)},r.prototype.getZoom=function(){return this.transform.zoom},r.prototype.setZoom=function(t,e){return this.jumpTo({zoom:t},e),this},r.prototype.zoomTo=function(e,r,n){return this.easeTo(t.extend({zoom:e},r),n)},r.prototype.zoomIn=function(t,e){return this.zoomTo(this.getZoom()+1,t,e),this},r.prototype.zoomOut=function(t,e){return this.zoomTo(this.getZoom()-1,t,e),this},r.prototype.getBearing=function(){return this.transform.bearing},r.prototype.setBearing=function(t,e){return this.jumpTo({bearing:t},e),this},r.prototype.getPadding=function(){return this.transform.padding},r.prototype.setPadding=function(t,e){return this.jumpTo({padding:t},e),this},r.prototype.rotateTo=function(e,r,n){return this.easeTo(t.extend({bearing:e},r),n)},r.prototype.resetNorth=function(e,r){return this.rotateTo(0,t.extend({duration:1e3},e),r),this},r.prototype.resetNorthPitch=function(e,r){return this.easeTo(t.extend({bearing:0,pitch:0,duration:1e3},e),r),this},r.prototype.snapToNorth=function(t,e){return Math.abs(this.getBearing())<this._bearingSnap?this.resetNorth(t,e):this},r.prototype.getPitch=function(){return this.transform.pitch},r.prototype.setPitch=function(t,e){return this.jumpTo({pitch:t},e),this},r.prototype.cameraForBounds=function(e,r){return e=t.LngLatBounds.convert(e),this._cameraForBoxAndBearing(e.getNorthWest(),e.getSouthEast(),0,r)},r.prototype._cameraForBoxAndBearing=function(e,r,n,i){var a={top:0,bottom:0,right:0,left:0};if(\\\"number\\\"==typeof(i=t.extend({padding:a,offset:[0,0],maxZoom:this.transform.maxZoom},i)).padding){var o=i.padding;i.padding={top:o,bottom:o,right:o,left:o}}i.padding=t.extend(a,i.padding);var s=this.transform,l=s.padding,c=s.project(t.LngLat.convert(e)),u=s.project(t.LngLat.convert(r)),f=c.rotate(-n*Math.PI/180),h=u.rotate(-n*Math.PI/180),p=new t.Point(Math.max(f.x,h.x),Math.max(f.y,h.y)),d=new t.Point(Math.min(f.x,h.x),Math.min(f.y,h.y)),m=p.sub(d),g=(s.width-(l.left+l.right+i.padding.left+i.padding.right))/m.x,v=(s.height-(l.top+l.bottom+i.padding.top+i.padding.bottom))/m.y;if(!(v<0||g<0)){var y=Math.min(s.scaleZoom(s.scale*Math.min(g,v)),i.maxZoom),x=t.Point.convert(i.offset),b=(i.padding.left-i.padding.right)/2,_=(i.padding.top-i.padding.bottom)/2,w=new t.Point(x.x+b,x.y+_).mult(s.scale/s.zoomScale(y));return{center:s.unproject(c.add(u).div(2).sub(w)),zoom:y,bearing:n}}t.warnOnce(\\\"Map cannot fit within canvas with the given bounds, padding, and/or offset.\\\")},r.prototype.fitBounds=function(t,e,r){return this._fitInternal(this.cameraForBounds(t,e),e,r)},r.prototype.fitScreenCoordinates=function(e,r,n,i,a){return this._fitInternal(this._cameraForBoxAndBearing(this.transform.pointLocation(t.Point.convert(e)),this.transform.pointLocation(t.Point.convert(r)),n,i),i,a)},r.prototype._fitInternal=function(e,r,n){return e?(delete(r=t.extend(e,r)).padding,r.linear?this.easeTo(r,n):this.flyTo(r,n)):this},r.prototype.jumpTo=function(e,r){this.stop();var n=this.transform,i=!1,a=!1,o=!1;return\\\"zoom\\\"in e&&n.zoom!==+e.zoom&&(i=!0,n.zoom=+e.zoom),void 0!==e.center&&(n.center=t.LngLat.convert(e.center)),\\\"bearing\\\"in e&&n.bearing!==+e.bearing&&(a=!0,n.bearing=+e.bearing),\\\"pitch\\\"in e&&n.pitch!==+e.pitch&&(o=!0,n.pitch=+e.pitch),null==e.padding||n.isPaddingEqual(e.padding)||(n.padding=e.padding),this.fire(new t.Event(\\\"movestart\\\",r)).fire(new t.Event(\\\"move\\\",r)),i&&this.fire(new t.Event(\\\"zoomstart\\\",r)).fire(new t.Event(\\\"zoom\\\",r)).fire(new t.Event(\\\"zoomend\\\",r)),a&&this.fire(new t.Event(\\\"rotatestart\\\",r)).fire(new t.Event(\\\"rotate\\\",r)).fire(new t.Event(\\\"rotateend\\\",r)),o&&this.fire(new t.Event(\\\"pitchstart\\\",r)).fire(new t.Event(\\\"pitch\\\",r)).fire(new t.Event(\\\"pitchend\\\",r)),this.fire(new t.Event(\\\"moveend\\\",r))},r.prototype.easeTo=function(e,r){var n=this;this._stop(!1,e.easeId),(!1===(e=t.extend({offset:[0,0],duration:500,easing:t.ease},e)).animate||!e.essential&&t.browser.prefersReducedMotion)&&(e.duration=0);var i=this.transform,a=this.getZoom(),o=this.getBearing(),s=this.getPitch(),l=this.getPadding(),c=\\\"zoom\\\"in e?+e.zoom:a,u=\\\"bearing\\\"in e?this._normalizeBearing(e.bearing,o):o,f=\\\"pitch\\\"in e?+e.pitch:s,h=\\\"padding\\\"in e?e.padding:i.padding,p=t.Point.convert(e.offset),d=i.centerPoint.add(p),m=i.pointLocation(d),g=t.LngLat.convert(e.center||m);this._normalizeCenter(g);var v,y,x=i.project(m),b=i.project(g).sub(x),_=i.zoomScale(c-a);e.around&&(v=t.LngLat.convert(e.around),y=i.locationPoint(v));var w={moving:this._moving,zooming:this._zooming,rotating:this._rotating,pitching:this._pitching};return this._zooming=this._zooming||c!==a,this._rotating=this._rotating||o!==u,this._pitching=this._pitching||f!==s,this._padding=!i.isPaddingEqual(h),this._easeId=e.easeId,this._prepareEase(r,e.noMoveStart,w),clearTimeout(this._easeEndTimeoutID),this._ease((function(e){if(n._zooming&&(i.zoom=t.number(a,c,e)),n._rotating&&(i.bearing=t.number(o,u,e)),n._pitching&&(i.pitch=t.number(s,f,e)),n._padding&&(i.interpolatePadding(l,h,e),d=i.centerPoint.add(p)),v)i.setLocationAtPoint(v,y);else{var m=i.zoomScale(i.zoom-a),g=c>a?Math.min(2,_):Math.max(.5,_),w=Math.pow(g,1-e),T=i.unproject(x.add(b.mult(e*w)).mult(m));i.setLocationAtPoint(i.renderWorldCopies?T.wrap():T,d)}n._fireMoveEvents(r)}),(function(t){n._afterEase(r,t)}),e),this},r.prototype._prepareEase=function(e,r,n){void 0===n&&(n={}),this._moving=!0,r||n.moving||this.fire(new t.Event(\\\"movestart\\\",e)),this._zooming&&!n.zooming&&this.fire(new t.Event(\\\"zoomstart\\\",e)),this._rotating&&!n.rotating&&this.fire(new t.Event(\\\"rotatestart\\\",e)),this._pitching&&!n.pitching&&this.fire(new t.Event(\\\"pitchstart\\\",e))},r.prototype._fireMoveEvents=function(e){this.fire(new t.Event(\\\"move\\\",e)),this._zooming&&this.fire(new t.Event(\\\"zoom\\\",e)),this._rotating&&this.fire(new t.Event(\\\"rotate\\\",e)),this._pitching&&this.fire(new t.Event(\\\"pitch\\\",e))},r.prototype._afterEase=function(e,r){if(!this._easeId||!r||this._easeId!==r){delete this._easeId;var n=this._zooming,i=this._rotating,a=this._pitching;this._moving=!1,this._zooming=!1,this._rotating=!1,this._pitching=!1,this._padding=!1,n&&this.fire(new t.Event(\\\"zoomend\\\",e)),i&&this.fire(new t.Event(\\\"rotateend\\\",e)),a&&this.fire(new t.Event(\\\"pitchend\\\",e)),this.fire(new t.Event(\\\"moveend\\\",e))}},r.prototype.flyTo=function(e,r){var n=this;if(!e.essential&&t.browser.prefersReducedMotion){var i=t.pick(e,[\\\"center\\\",\\\"zoom\\\",\\\"bearing\\\",\\\"pitch\\\",\\\"around\\\"]);return this.jumpTo(i,r)}this.stop(),e=t.extend({offset:[0,0],speed:1.2,curve:1.42,easing:t.ease},e);var a=this.transform,o=this.getZoom(),s=this.getBearing(),l=this.getPitch(),c=this.getPadding(),u=\\\"zoom\\\"in e?t.clamp(+e.zoom,a.minZoom,a.maxZoom):o,f=\\\"bearing\\\"in e?this._normalizeBearing(e.bearing,s):s,h=\\\"pitch\\\"in e?+e.pitch:l,p=\\\"padding\\\"in e?e.padding:a.padding,d=a.zoomScale(u-o),m=t.Point.convert(e.offset),g=a.centerPoint.add(m),v=a.pointLocation(g),y=t.LngLat.convert(e.center||v);this._normalizeCenter(y);var x=a.project(v),b=a.project(y).sub(x),_=e.curve,w=Math.max(a.width,a.height),T=w/d,k=b.mag();if(\\\"minZoom\\\"in e){var M=t.clamp(Math.min(e.minZoom,o,u),a.minZoom,a.maxZoom),A=w/a.zoomScale(M-o);_=Math.sqrt(A/k*2)}var S=_*_;function E(t){var e=(T*T-w*w+(t?-1:1)*S*S*k*k)/(2*(t?T:w)*S*k);return Math.log(Math.sqrt(e*e+1)-e)}function L(t){return(Math.exp(t)-Math.exp(-t))/2}function C(t){return(Math.exp(t)+Math.exp(-t))/2}var P=E(0),I=function(t){return C(P)/C(P+_*t)},O=function(t){return w*((C(P)*(L(e=P+_*t)/C(e))-L(P))/S)/k;var e},z=(E(1)-P)/_;if(Math.abs(k)<1e-6||!isFinite(z)){if(Math.abs(w-T)<1e-6)return this.easeTo(e,r);var D=T<w?-1:1;z=Math.abs(Math.log(T/w))/_,O=function(){return 0},I=function(t){return Math.exp(D*_*t)}}if(\\\"duration\\\"in e)e.duration=+e.duration;else{var R=\\\"screenSpeed\\\"in e?+e.screenSpeed/_:+e.speed;e.duration=1e3*z/R}return e.maxDuration&&e.duration>e.maxDuration&&(e.duration=0),this._zooming=!0,this._rotating=s!==f,this._pitching=h!==l,this._padding=!a.isPaddingEqual(p),this._prepareEase(r,!1),this._ease((function(e){var i=e*z,d=1/I(i);a.zoom=1===e?u:o+a.scaleZoom(d),n._rotating&&(a.bearing=t.number(s,f,e)),n._pitching&&(a.pitch=t.number(l,h,e)),n._padding&&(a.interpolatePadding(c,p,e),g=a.centerPoint.add(m));var v=1===e?y:a.unproject(x.add(b.mult(O(i))).mult(d));a.setLocationAtPoint(a.renderWorldCopies?v.wrap():v,g),n._fireMoveEvents(r)}),(function(){return n._afterEase(r)}),e),this},r.prototype.isEasing=function(){return!!this._easeFrameId},r.prototype.stop=function(){return this._stop()},r.prototype._stop=function(t,e){if(this._easeFrameId&&(this._cancelRenderFrame(this._easeFrameId),delete this._easeFrameId,delete this._onEaseFrame),this._onEaseEnd){var r=this._onEaseEnd;delete this._onEaseEnd,r.call(this,e)}if(!t){var n=this.handlers;n&&n.stop()}return this},r.prototype._ease=function(e,r,n){!1===n.animate||0===n.duration?(e(1),r()):(this._easeStart=t.browser.now(),this._easeOptions=n,this._onEaseFrame=e,this._onEaseEnd=r,this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback))},r.prototype._renderFrameCallback=function(){var e=Math.min((t.browser.now()-this._easeStart)/this._easeOptions.duration,1);this._onEaseFrame(this._easeOptions.easing(e)),e<1?this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback):this.stop()},r.prototype._normalizeBearing=function(e,r){e=t.wrap(e,-180,180);var n=Math.abs(e-r);return Math.abs(e-360-r)<n&&(e-=360),Math.abs(e+360-r)<n&&(e+=360),e},r.prototype._normalizeCenter=function(t){var e=this.transform;if(e.renderWorldCopies&&!e.lngRange){var r=t.lng-e.center.lng;t.lng+=r>180?-360:r<-180?360:0}},r}(t.Evented),bi=function(e){void 0===e&&(e={}),this.options=e,t.bindAll([\\\"_updateEditLink\\\",\\\"_updateData\\\",\\\"_updateCompact\\\"],this)};bi.prototype.getDefaultPosition=function(){return\\\"bottom-right\\\"},bi.prototype.onAdd=function(t){var e=this.options&&this.options.compact;return this._map=t,this._container=r.create(\\\"div\\\",\\\"mapboxgl-ctrl mapboxgl-ctrl-attrib\\\"),this._innerContainer=r.create(\\\"div\\\",\\\"mapboxgl-ctrl-attrib-inner\\\",this._container),e&&this._container.classList.add(\\\"mapboxgl-compact\\\"),this._updateAttributions(),this._updateEditLink(),this._map.on(\\\"styledata\\\",this._updateData),this._map.on(\\\"sourcedata\\\",this._updateData),this._map.on(\\\"moveend\\\",this._updateEditLink),void 0===e&&(this._map.on(\\\"resize\\\",this._updateCompact),this._updateCompact()),this._container},bi.prototype.onRemove=function(){r.remove(this._container),this._map.off(\\\"styledata\\\",this._updateData),this._map.off(\\\"sourcedata\\\",this._updateData),this._map.off(\\\"moveend\\\",this._updateEditLink),this._map.off(\\\"resize\\\",this._updateCompact),this._map=void 0,this._attribHTML=void 0},bi.prototype._updateEditLink=function(){var e=this._editLink;e||(e=this._editLink=this._container.querySelector(\\\".mapbox-improve-map\\\"));var r=[{key:\\\"owner\\\",value:this.styleOwner},{key:\\\"id\\\",value:this.styleId},{key:\\\"access_token\\\",value:this._map._requestManager._customAccessToken||t.config.ACCESS_TOKEN}];if(e){var n=r.reduce((function(t,e,n){return e.value&&(t+=e.key+\\\"=\\\"+e.value+(n<r.length-1?\\\"&\\\":\\\"\\\")),t}),\\\"?\\\");e.href=t.config.FEEDBACK_URL+\\\"/\\\"+n+(this._map._hash?this._map._hash.getHashString(!0):\\\"\\\"),e.rel=\\\"noopener nofollow\\\"}},bi.prototype._updateData=function(t){!t||\\\"metadata\\\"!==t.sourceDataType&&\\\"style\\\"!==t.dataType||(this._updateAttributions(),this._updateEditLink())},bi.prototype._updateAttributions=function(){if(this._map.style){var t=[];if(this.options.customAttribution&&(Array.isArray(this.options.customAttribution)?t=t.concat(this.options.customAttribution.map((function(t){return\\\"string\\\"!=typeof t?\\\"\\\":t}))):\\\"string\\\"==typeof this.options.customAttribution&&t.push(this.options.customAttribution)),this._map.style.stylesheet){var e=this._map.style.stylesheet;this.styleOwner=e.owner,this.styleId=e.id}var r=this._map.style.sourceCaches;for(var n in r){var i=r[n];if(i.used){var a=i.getSource();a.attribution&&t.indexOf(a.attribution)<0&&t.push(a.attribution)}}t.sort((function(t,e){return t.length-e.length}));var o=(t=t.filter((function(e,r){for(var n=r+1;n<t.length;n++)if(t[n].indexOf(e)>=0)return!1;return!0}))).join(\\\" | \\\");o!==this._attribHTML&&(this._attribHTML=o,t.length?(this._innerContainer.innerHTML=o,this._container.classList.remove(\\\"mapboxgl-attrib-empty\\\")):this._container.classList.add(\\\"mapboxgl-attrib-empty\\\"),this._editLink=null)}},bi.prototype._updateCompact=function(){this._map.getCanvasContainer().offsetWidth<=640?this._container.classList.add(\\\"mapboxgl-compact\\\"):this._container.classList.remove(\\\"mapboxgl-compact\\\")};var _i=function(){t.bindAll([\\\"_updateLogo\\\"],this),t.bindAll([\\\"_updateCompact\\\"],this)};_i.prototype.onAdd=function(t){this._map=t,this._container=r.create(\\\"div\\\",\\\"mapboxgl-ctrl\\\");var e=r.create(\\\"a\\\",\\\"mapboxgl-ctrl-logo\\\");return e.target=\\\"_blank\\\",e.rel=\\\"noopener nofollow\\\",e.href=\\\"https://www.mapbox.com/\\\",e.setAttribute(\\\"aria-label\\\",this._map._getUIString(\\\"LogoControl.Title\\\")),e.setAttribute(\\\"rel\\\",\\\"noopener nofollow\\\"),this._container.appendChild(e),this._container.style.display=\\\"none\\\",this._map.on(\\\"sourcedata\\\",this._updateLogo),this._updateLogo(),this._map.on(\\\"resize\\\",this._updateCompact),this._updateCompact(),this._container},_i.prototype.onRemove=function(){r.remove(this._container),this._map.off(\\\"sourcedata\\\",this._updateLogo),this._map.off(\\\"resize\\\",this._updateCompact)},_i.prototype.getDefaultPosition=function(){return\\\"bottom-left\\\"},_i.prototype._updateLogo=function(t){t&&\\\"metadata\\\"!==t.sourceDataType||(this._container.style.display=this._logoRequired()?\\\"block\\\":\\\"none\\\")},_i.prototype._logoRequired=function(){if(this._map.style){var t=this._map.style.sourceCaches;for(var e in t){if(t[e].getSource().mapbox_logo)return!0}return!1}},_i.prototype._updateCompact=function(){var t=this._container.children;if(t.length){var e=t[0];this._map.getCanvasContainer().offsetWidth<250?e.classList.add(\\\"mapboxgl-compact\\\"):e.classList.remove(\\\"mapboxgl-compact\\\")}};var wi=function(){this._queue=[],this._id=0,this._cleared=!1,this._currentlyRunning=!1};wi.prototype.add=function(t){var e=++this._id;return this._queue.push({callback:t,id:e,cancelled:!1}),e},wi.prototype.remove=function(t){for(var e=this._currentlyRunning,r=0,n=e?this._queue.concat(e):this._queue;r<n.length;r+=1){var i=n[r];if(i.id===t)return void(i.cancelled=!0)}},wi.prototype.run=function(t){void 0===t&&(t=0);var e=this._currentlyRunning=this._queue;this._queue=[];for(var r=0,n=e;r<n.length;r+=1){var i=n[r];if(!i.cancelled&&(i.callback(t),this._cleared))break}this._cleared=!1,this._currentlyRunning=!1},wi.prototype.clear=function(){this._currentlyRunning&&(this._cleared=!0),this._queue=[]};var Ti={\\\"FullscreenControl.Enter\\\":\\\"Enter fullscreen\\\",\\\"FullscreenControl.Exit\\\":\\\"Exit fullscreen\\\",\\\"GeolocateControl.FindMyLocation\\\":\\\"Find my location\\\",\\\"GeolocateControl.LocationNotAvailable\\\":\\\"Location not available\\\",\\\"LogoControl.Title\\\":\\\"Mapbox logo\\\",\\\"NavigationControl.ResetBearing\\\":\\\"Reset bearing to north\\\",\\\"NavigationControl.ZoomIn\\\":\\\"Zoom in\\\",\\\"NavigationControl.ZoomOut\\\":\\\"Zoom out\\\",\\\"ScaleControl.Feet\\\":\\\"ft\\\",\\\"ScaleControl.Meters\\\":\\\"m\\\",\\\"ScaleControl.Kilometers\\\":\\\"km\\\",\\\"ScaleControl.Miles\\\":\\\"mi\\\",\\\"ScaleControl.NauticalMiles\\\":\\\"nm\\\"},ki=t.window.HTMLImageElement,Mi=t.window.HTMLElement,Ai=t.window.ImageBitmap,Si={center:[0,0],zoom:0,bearing:0,pitch:0,minZoom:-2,maxZoom:22,minPitch:0,maxPitch:60,interactive:!0,scrollZoom:!0,boxZoom:!0,dragRotate:!0,dragPan:!0,keyboard:!0,doubleClickZoom:!0,touchZoomRotate:!0,touchPitch:!0,bearingSnap:7,clickTolerance:3,pitchWithRotate:!0,hash:!1,attributionControl:!0,failIfMajorPerformanceCaveat:!1,preserveDrawingBuffer:!1,trackResize:!0,renderWorldCopies:!0,refreshExpiredTiles:!0,maxTileCacheSize:null,localIdeographFontFamily:\\\"sans-serif\\\",transformRequest:null,accessToken:null,fadeDuration:300,crossSourceCollisions:!0},Ei=function(n){function i(e){var r=this;if(null!=(e=t.extend({},Si,e)).minZoom&&null!=e.maxZoom&&e.minZoom>e.maxZoom)throw new Error(\\\"maxZoom must be greater than or equal to minZoom\\\");if(null!=e.minPitch&&null!=e.maxPitch&&e.minPitch>e.maxPitch)throw new Error(\\\"maxPitch must be greater than or equal to minPitch\\\");if(null!=e.minPitch&&e.minPitch<0)throw new Error(\\\"minPitch must be greater than or equal to 0\\\");if(null!=e.maxPitch&&e.maxPitch>60)throw new Error(\\\"maxPitch must be less than or equal to 60\\\");var i=new Mn(e.minZoom,e.maxZoom,e.minPitch,e.maxPitch,e.renderWorldCopies);if(n.call(this,i,e),this._interactive=e.interactive,this._maxTileCacheSize=e.maxTileCacheSize,this._failIfMajorPerformanceCaveat=e.failIfMajorPerformanceCaveat,this._preserveDrawingBuffer=e.preserveDrawingBuffer,this._antialias=e.antialias,this._trackResize=e.trackResize,this._bearingSnap=e.bearingSnap,this._refreshExpiredTiles=e.refreshExpiredTiles,this._fadeDuration=e.fadeDuration,this._crossSourceCollisions=e.crossSourceCollisions,this._crossFadingFactor=1,this._collectResourceTiming=e.collectResourceTiming,this._renderTaskQueue=new wi,this._controls=[],this._mapId=t.uniqueId(),this._locale=t.extend({},Ti,e.locale),this._requestManager=new t.RequestManager(e.transformRequest,e.accessToken),\\\"string\\\"==typeof e.container){if(this._container=t.window.document.getElementById(e.container),!this._container)throw new Error(\\\"Container '\\\"+e.container+\\\"' not found.\\\")}else{if(!(e.container instanceof Mi))throw new Error(\\\"Invalid type: 'container' must be a String or HTMLElement.\\\");this._container=e.container}if(e.maxBounds&&this.setMaxBounds(e.maxBounds),t.bindAll([\\\"_onWindowOnline\\\",\\\"_onWindowResize\\\",\\\"_contextLost\\\",\\\"_contextRestored\\\"],this),this._setupContainer(),this._setupPainter(),void 0===this.painter)throw new Error(\\\"Failed to initialize WebGL.\\\");this.on(\\\"move\\\",(function(){return r._update(!1)})),this.on(\\\"moveend\\\",(function(){return r._update(!1)})),this.on(\\\"zoom\\\",(function(){return r._update(!0)})),void 0!==t.window&&(t.window.addEventListener(\\\"online\\\",this._onWindowOnline,!1),t.window.addEventListener(\\\"resize\\\",this._onWindowResize,!1)),this.handlers=new yi(this,e);var a=\\\"string\\\"==typeof e.hash&&e.hash||void 0;this._hash=e.hash&&new Sn(a).addTo(this),this._hash&&this._hash._onHashChange()||(this.jumpTo({center:e.center,zoom:e.zoom,bearing:e.bearing,pitch:e.pitch}),e.bounds&&(this.resize(),this.fitBounds(e.bounds,t.extend({},e.fitBoundsOptions,{duration:0})))),this.resize(),this._localIdeographFontFamily=e.localIdeographFontFamily,e.style&&this.setStyle(e.style,{localIdeographFontFamily:e.localIdeographFontFamily}),e.attributionControl&&this.addControl(new bi({customAttribution:e.customAttribution})),this.addControl(new _i,e.logoPosition),this.on(\\\"style.load\\\",(function(){r.transform.unmodified&&r.jumpTo(r.style.stylesheet)})),this.on(\\\"data\\\",(function(e){r._update(\\\"style\\\"===e.dataType),r.fire(new t.Event(e.dataType+\\\"data\\\",e))})),this.on(\\\"dataloading\\\",(function(e){r.fire(new t.Event(e.dataType+\\\"dataloading\\\",e))}))}n&&(i.__proto__=n),i.prototype=Object.create(n&&n.prototype),i.prototype.constructor=i;var a={showTileBoundaries:{configurable:!0},showPadding:{configurable:!0},showCollisionBoxes:{configurable:!0},showOverdrawInspector:{configurable:!0},repaint:{configurable:!0},vertices:{configurable:!0},version:{configurable:!0}};return i.prototype._getMapId=function(){return this._mapId},i.prototype.addControl=function(e,r){if(void 0===r&&e.getDefaultPosition&&(r=e.getDefaultPosition()),void 0===r&&(r=\\\"top-right\\\"),!e||!e.onAdd)return this.fire(new t.ErrorEvent(new Error(\\\"Invalid argument to map.addControl(). Argument must be a control with onAdd and onRemove methods.\\\")));var n=e.onAdd(this);this._controls.push(e);var i=this._controlPositions[r];return-1!==r.indexOf(\\\"bottom\\\")?i.insertBefore(n,i.firstChild):i.appendChild(n),this},i.prototype.removeControl=function(e){if(!e||!e.onRemove)return this.fire(new t.ErrorEvent(new Error(\\\"Invalid argument to map.removeControl(). Argument must be a control with onAdd and onRemove methods.\\\")));var r=this._controls.indexOf(e);return r>-1&&this._controls.splice(r,1),e.onRemove(this),this},i.prototype.resize=function(e){var r=this._containerDimensions(),n=r[0],i=r[1];this._resizeCanvas(n,i),this.transform.resize(n,i),this.painter.resize(n,i);var a=!this._moving;return a&&(this.stop(),this.fire(new t.Event(\\\"movestart\\\",e)).fire(new t.Event(\\\"move\\\",e))),this.fire(new t.Event(\\\"resize\\\",e)),a&&this.fire(new t.Event(\\\"moveend\\\",e)),this},i.prototype.getBounds=function(){return this.transform.getBounds()},i.prototype.getMaxBounds=function(){return this.transform.getMaxBounds()},i.prototype.setMaxBounds=function(e){return this.transform.setMaxBounds(t.LngLatBounds.convert(e)),this._update()},i.prototype.setMinZoom=function(t){if((t=null==t?-2:t)>=-2&&t<=this.transform.maxZoom)return this.transform.minZoom=t,this._update(),this.getZoom()<t&&this.setZoom(t),this;throw new Error(\\\"minZoom must be between -2 and the current maxZoom, inclusive\\\")},i.prototype.getMinZoom=function(){return this.transform.minZoom},i.prototype.setMaxZoom=function(t){if((t=null==t?22:t)>=this.transform.minZoom)return this.transform.maxZoom=t,this._update(),this.getZoom()>t&&this.setZoom(t),this;throw new Error(\\\"maxZoom must be greater than the current minZoom\\\")},i.prototype.getMaxZoom=function(){return this.transform.maxZoom},i.prototype.setMinPitch=function(t){if((t=null==t?0:t)<0)throw new Error(\\\"minPitch must be greater than or equal to 0\\\");if(t>=0&&t<=this.transform.maxPitch)return this.transform.minPitch=t,this._update(),this.getPitch()<t&&this.setPitch(t),this;throw new Error(\\\"minPitch must be between 0 and the current maxPitch, inclusive\\\")},i.prototype.getMinPitch=function(){return this.transform.minPitch},i.prototype.setMaxPitch=function(t){if((t=null==t?60:t)>60)throw new Error(\\\"maxPitch must be less than or equal to 60\\\");if(t>=this.transform.minPitch)return this.transform.maxPitch=t,this._update(),this.getPitch()>t&&this.setPitch(t),this;throw new Error(\\\"maxPitch must be greater than the current minPitch\\\")},i.prototype.getMaxPitch=function(){return this.transform.maxPitch},i.prototype.getRenderWorldCopies=function(){return this.transform.renderWorldCopies},i.prototype.setRenderWorldCopies=function(t){return this.transform.renderWorldCopies=t,this._update()},i.prototype.project=function(e){return this.transform.locationPoint(t.LngLat.convert(e))},i.prototype.unproject=function(e){return this.transform.pointLocation(t.Point.convert(e))},i.prototype.isMoving=function(){return this._moving||this.handlers.isMoving()},i.prototype.isZooming=function(){return this._zooming||this.handlers.isZooming()},i.prototype.isRotating=function(){return this._rotating||this.handlers.isRotating()},i.prototype._createDelegatedListener=function(t,e,r){var n,i=this;if(\\\"mouseenter\\\"===t||\\\"mouseover\\\"===t){var a=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){var o=i.getLayer(e)?i.queryRenderedFeatures(n.point,{layers:[e]}):[];o.length?a||(a=!0,r.call(i,new Rn(t,i,n.originalEvent,{features:o}))):a=!1},mouseout:function(){a=!1}}}}if(\\\"mouseleave\\\"===t||\\\"mouseout\\\"===t){var o=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){(i.getLayer(e)?i.queryRenderedFeatures(n.point,{layers:[e]}):[]).length?o=!0:o&&(o=!1,r.call(i,new Rn(t,i,n.originalEvent)))},mouseout:function(e){o&&(o=!1,r.call(i,new Rn(t,i,e.originalEvent)))}}}}return{layer:e,listener:r,delegates:(n={},n[t]=function(t){var n=i.getLayer(e)?i.queryRenderedFeatures(t.point,{layers:[e]}):[];n.length&&(t.features=n,r.call(i,t),delete t.features)},n)}},i.prototype.on=function(t,e,r){if(void 0===r)return n.prototype.on.call(this,t,e);var i=this._createDelegatedListener(t,e,r);for(var a in this._delegatedListeners=this._delegatedListeners||{},this._delegatedListeners[t]=this._delegatedListeners[t]||[],this._delegatedListeners[t].push(i),i.delegates)this.on(a,i.delegates[a]);return this},i.prototype.once=function(t,e,r){if(void 0===r)return n.prototype.once.call(this,t,e);var i=this._createDelegatedListener(t,e,r);for(var a in i.delegates)this.once(a,i.delegates[a]);return this},i.prototype.off=function(t,e,r){var i=this;if(void 0===r)return n.prototype.off.call(this,t,e);return this._delegatedListeners&&this._delegatedListeners[t]&&function(n){for(var a=n[t],o=0;o<a.length;o++){var s=a[o];if(s.layer===e&&s.listener===r){for(var l in s.delegates)i.off(l,s.delegates[l]);return a.splice(o,1),i}}}(this._delegatedListeners),this},i.prototype.queryRenderedFeatures=function(e,r){if(!this.style)return[];var n;if(void 0!==r||void 0===e||e instanceof t.Point||Array.isArray(e)||(r=e,e=void 0),r=r||{},(e=e||[[0,0],[this.transform.width,this.transform.height]])instanceof t.Point||\\\"number\\\"==typeof e[0])n=[t.Point.convert(e)];else{var i=t.Point.convert(e[0]),a=t.Point.convert(e[1]);n=[i,new t.Point(a.x,i.y),a,new t.Point(i.x,a.y),i]}return this.style.queryRenderedFeatures(n,r,this.transform)},i.prototype.querySourceFeatures=function(t,e){return this.style.querySourceFeatures(t,e)},i.prototype.setStyle=function(e,r){return!1!==(r=t.extend({},{localIdeographFontFamily:this._localIdeographFontFamily},r)).diff&&r.localIdeographFontFamily===this._localIdeographFontFamily&&this.style&&e?(this._diffStyle(e,r),this):(this._localIdeographFontFamily=r.localIdeographFontFamily,this._updateStyle(e,r))},i.prototype._getUIString=function(t){var e=this._locale[t];if(null==e)throw new Error(\\\"Missing UI string '\\\"+t+\\\"'\\\");return e},i.prototype._updateStyle=function(t,e){return this.style&&(this.style.setEventedParent(null),this.style._remove()),t?(this.style=new He(this,e||{}),this.style.setEventedParent(this,{style:this.style}),\\\"string\\\"==typeof t?this.style.loadURL(t):this.style.loadJSON(t),this):(delete this.style,this)},i.prototype._lazyInitEmptyStyle=function(){this.style||(this.style=new He(this,{}),this.style.setEventedParent(this,{style:this.style}),this.style.loadEmpty())},i.prototype._diffStyle=function(e,r){var n=this;if(\\\"string\\\"==typeof e){var i=this._requestManager.normalizeStyleURL(e),a=this._requestManager.transformRequest(i,t.ResourceType.Style);t.getJSON(a,(function(e,i){e?n.fire(new t.ErrorEvent(e)):i&&n._updateDiff(i,r)}))}else\\\"object\\\"==typeof e&&this._updateDiff(e,r)},i.prototype._updateDiff=function(e,r){try{this.style.setState(e)&&this._update(!0)}catch(n){t.warnOnce(\\\"Unable to perform style diff: \\\"+(n.message||n.error||n)+\\\".  Rebuilding the style from scratch.\\\"),this._updateStyle(e,r)}},i.prototype.getStyle=function(){if(this.style)return this.style.serialize()},i.prototype.isStyleLoaded=function(){return this.style?this.style.loaded():t.warnOnce(\\\"There is no style added to the map.\\\")},i.prototype.addSource=function(t,e){return this._lazyInitEmptyStyle(),this.style.addSource(t,e),this._update(!0)},i.prototype.isSourceLoaded=function(e){var r=this.style&&this.style.sourceCaches[e];if(void 0!==r)return r.loaded();this.fire(new t.ErrorEvent(new Error(\\\"There is no source with ID '\\\"+e+\\\"'\\\")))},i.prototype.areTilesLoaded=function(){var t=this.style&&this.style.sourceCaches;for(var e in t){var r=t[e]._tiles;for(var n in r){var i=r[n];if(\\\"loaded\\\"!==i.state&&\\\"errored\\\"!==i.state)return!1}}return!0},i.prototype.addSourceType=function(t,e,r){return this._lazyInitEmptyStyle(),this.style.addSourceType(t,e,r)},i.prototype.removeSource=function(t){return this.style.removeSource(t),this._update(!0)},i.prototype.getSource=function(t){return this.style.getSource(t)},i.prototype.addImage=function(e,r,n){void 0===n&&(n={});var i=n.pixelRatio;void 0===i&&(i=1);var a=n.sdf;void 0===a&&(a=!1);var o=n.stretchX,s=n.stretchY,l=n.content;this._lazyInitEmptyStyle();if(r instanceof ki||Ai&&r instanceof Ai){var c=t.browser.getImageData(r),u=c.width,f=c.height,h=c.data;this.style.addImage(e,{data:new t.RGBAImage({width:u,height:f},h),pixelRatio:i,stretchX:o,stretchY:s,content:l,sdf:a,version:0})}else{if(void 0===r.width||void 0===r.height)return this.fire(new t.ErrorEvent(new Error(\\\"Invalid arguments to map.addImage(). The second argument must be an `HTMLImageElement`, `ImageData`, `ImageBitmap`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`\\\")));var p=r.width,d=r.height,m=r.data,g=r;this.style.addImage(e,{data:new t.RGBAImage({width:p,height:d},new Uint8Array(m)),pixelRatio:i,stretchX:o,stretchY:s,content:l,sdf:a,version:0,userImage:g}),g.onAdd&&g.onAdd(this,e)}},i.prototype.updateImage=function(e,r){var n=this.style.getImage(e);if(!n)return this.fire(new t.ErrorEvent(new Error(\\\"The map has no image with that id. If you are adding a new image use `map.addImage(...)` instead.\\\")));var i=r instanceof ki||Ai&&r instanceof Ai?t.browser.getImageData(r):r,a=i.width,o=i.height,s=i.data;if(void 0===a||void 0===o)return this.fire(new t.ErrorEvent(new Error(\\\"Invalid arguments to map.updateImage(). The second argument must be an `HTMLImageElement`, `ImageData`, `ImageBitmap`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`\\\")));if(a!==n.data.width||o!==n.data.height)return this.fire(new t.ErrorEvent(new Error(\\\"The width and height of the updated image must be that same as the previous version of the image\\\")));var l=!(r instanceof ki||Ai&&r instanceof Ai);n.data.replace(s,l),this.style.updateImage(e,n)},i.prototype.hasImage=function(e){return e?!!this.style.getImage(e):(this.fire(new t.ErrorEvent(new Error(\\\"Missing required image id\\\"))),!1)},i.prototype.removeImage=function(t){this.style.removeImage(t)},i.prototype.loadImage=function(e,r){t.getImage(this._requestManager.transformRequest(e,t.ResourceType.Image),r)},i.prototype.listImages=function(){return this.style.listImages()},i.prototype.addLayer=function(t,e){return this._lazyInitEmptyStyle(),this.style.addLayer(t,e),this._update(!0)},i.prototype.moveLayer=function(t,e){return this.style.moveLayer(t,e),this._update(!0)},i.prototype.removeLayer=function(t){return this.style.removeLayer(t),this._update(!0)},i.prototype.getLayer=function(t){return this.style.getLayer(t)},i.prototype.setLayerZoomRange=function(t,e,r){return this.style.setLayerZoomRange(t,e,r),this._update(!0)},i.prototype.setFilter=function(t,e,r){return void 0===r&&(r={}),this.style.setFilter(t,e,r),this._update(!0)},i.prototype.getFilter=function(t){return this.style.getFilter(t)},i.prototype.setPaintProperty=function(t,e,r,n){return void 0===n&&(n={}),this.style.setPaintProperty(t,e,r,n),this._update(!0)},i.prototype.getPaintProperty=function(t,e){return this.style.getPaintProperty(t,e)},i.prototype.setLayoutProperty=function(t,e,r,n){return void 0===n&&(n={}),this.style.setLayoutProperty(t,e,r,n),this._update(!0)},i.prototype.getLayoutProperty=function(t,e){return this.style.getLayoutProperty(t,e)},i.prototype.setLight=function(t,e){return void 0===e&&(e={}),this._lazyInitEmptyStyle(),this.style.setLight(t,e),this._update(!0)},i.prototype.getLight=function(){return this.style.getLight()},i.prototype.setFeatureState=function(t,e){return this.style.setFeatureState(t,e),this._update()},i.prototype.removeFeatureState=function(t,e){return this.style.removeFeatureState(t,e),this._update()},i.prototype.getFeatureState=function(t){return this.style.getFeatureState(t)},i.prototype.getContainer=function(){return this._container},i.prototype.getCanvasContainer=function(){return this._canvasContainer},i.prototype.getCanvas=function(){return this._canvas},i.prototype._containerDimensions=function(){var t=0,e=0;return this._container&&(t=this._container.clientWidth||400,e=this._container.clientHeight||300),[t,e]},i.prototype._detectMissingCSS=function(){\\\"rgb(250, 128, 114)\\\"!==t.window.getComputedStyle(this._missingCSSCanary).getPropertyValue(\\\"background-color\\\")&&t.warnOnce(\\\"This page appears to be missing CSS declarations for Mapbox GL JS, which may cause the map to display incorrectly. Please ensure your page includes mapbox-gl.css, as described in https://www.mapbox.com/mapbox-gl-js/api/.\\\")},i.prototype._setupContainer=function(){var t=this._container;t.classList.add(\\\"mapboxgl-map\\\"),(this._missingCSSCanary=r.create(\\\"div\\\",\\\"mapboxgl-canary\\\",t)).style.visibility=\\\"hidden\\\",this._detectMissingCSS();var e=this._canvasContainer=r.create(\\\"div\\\",\\\"mapboxgl-canvas-container\\\",t);this._interactive&&e.classList.add(\\\"mapboxgl-interactive\\\"),this._canvas=r.create(\\\"canvas\\\",\\\"mapboxgl-canvas\\\",e),this._canvas.addEventListener(\\\"webglcontextlost\\\",this._contextLost,!1),this._canvas.addEventListener(\\\"webglcontextrestored\\\",this._contextRestored,!1),this._canvas.setAttribute(\\\"tabindex\\\",\\\"0\\\"),this._canvas.setAttribute(\\\"aria-label\\\",\\\"Map\\\");var n=this._containerDimensions();this._resizeCanvas(n[0],n[1]);var i=this._controlContainer=r.create(\\\"div\\\",\\\"mapboxgl-control-container\\\",t),a=this._controlPositions={};[\\\"top-left\\\",\\\"top-right\\\",\\\"bottom-left\\\",\\\"bottom-right\\\"].forEach((function(t){a[t]=r.create(\\\"div\\\",\\\"mapboxgl-ctrl-\\\"+t,i)}))},i.prototype._resizeCanvas=function(e,r){var n=t.browser.devicePixelRatio||1;this._canvas.width=n*e,this._canvas.height=n*r,this._canvas.style.width=e+\\\"px\\\",this._canvas.style.height=r+\\\"px\\\"},i.prototype._setupPainter=function(){var r=t.extend({},e.webGLContextAttributes,{failIfMajorPerformanceCaveat:this._failIfMajorPerformanceCaveat,preserveDrawingBuffer:this._preserveDrawingBuffer,antialias:this._antialias||!1}),n=this._canvas.getContext(\\\"webgl\\\",r)||this._canvas.getContext(\\\"experimental-webgl\\\",r);n?(this.painter=new _n(n,this.transform),t.webpSupported.testSupport(n)):this.fire(new t.ErrorEvent(new Error(\\\"Failed to initialize WebGL\\\")))},i.prototype._contextLost=function(e){e.preventDefault(),this._frame&&(this._frame.cancel(),this._frame=null),this.fire(new t.Event(\\\"webglcontextlost\\\",{originalEvent:e}))},i.prototype._contextRestored=function(e){this._setupPainter(),this.resize(),this._update(),this.fire(new t.Event(\\\"webglcontextrestored\\\",{originalEvent:e}))},i.prototype.loaded=function(){return!this._styleDirty&&!this._sourcesDirty&&!!this.style&&this.style.loaded()},i.prototype._update=function(t){return this.style?(this._styleDirty=this._styleDirty||t,this._sourcesDirty=!0,this.triggerRepaint(),this):this},i.prototype._requestRenderFrame=function(t){return this._update(),this._renderTaskQueue.add(t)},i.prototype._cancelRenderFrame=function(t){this._renderTaskQueue.remove(t)},i.prototype._render=function(e){var r,n=this,i=0,a=this.painter.context.extTimerQuery;if(this.listens(\\\"gpu-timing-frame\\\")&&(r=a.createQueryEXT(),a.beginQueryEXT(a.TIME_ELAPSED_EXT,r),i=t.browser.now()),this.painter.context.setDirty(),this.painter.setBaseState(),this._renderTaskQueue.run(e),!this._removed){var o=!1;if(this.style&&this._styleDirty){this._styleDirty=!1;var s=this.transform.zoom,l=t.browser.now();this.style.zoomHistory.update(s,l);var c=new t.EvaluationParameters(s,{now:l,fadeDuration:this._fadeDuration,zoomHistory:this.style.zoomHistory,transition:this.style.getTransition()}),u=c.crossFadingFactor();1===u&&u===this._crossFadingFactor||(o=!0,this._crossFadingFactor=u),this.style.update(c)}if(this.style&&this._sourcesDirty&&(this._sourcesDirty=!1,this.style._updateSources(this.transform)),this._placementDirty=this.style&&this.style._updatePlacement(this.painter.transform,this.showCollisionBoxes,this._fadeDuration,this._crossSourceCollisions),this.painter.render(this.style,{showTileBoundaries:this.showTileBoundaries,showOverdrawInspector:this._showOverdrawInspector,rotating:this.isRotating(),zooming:this.isZooming(),moving:this.isMoving(),fadeDuration:this._fadeDuration,showPadding:this.showPadding,gpuTiming:!!this.listens(\\\"gpu-timing-layer\\\")}),this.fire(new t.Event(\\\"render\\\")),this.loaded()&&!this._loaded&&(this._loaded=!0,this.fire(new t.Event(\\\"load\\\"))),this.style&&(this.style.hasTransitions()||o)&&(this._styleDirty=!0),this.style&&!this._placementDirty&&this.style._releaseSymbolFadeTiles(),this.listens(\\\"gpu-timing-frame\\\")){var f=t.browser.now()-i;a.endQueryEXT(a.TIME_ELAPSED_EXT,r),setTimeout((function(){var e=a.getQueryObjectEXT(r,a.QUERY_RESULT_EXT)/1e6;a.deleteQueryEXT(r),n.fire(new t.Event(\\\"gpu-timing-frame\\\",{cpuTime:f,gpuTime:e}))}),50)}if(this.listens(\\\"gpu-timing-layer\\\")){var h=this.painter.collectGpuTimers();setTimeout((function(){var e=n.painter.queryGpuTimers(h);n.fire(new t.Event(\\\"gpu-timing-layer\\\",{layerTimes:e}))}),50)}return this._sourcesDirty||this._styleDirty||this._placementDirty||this._repaint?this.triggerRepaint():!this.isMoving()&&this.loaded()&&(this._fullyLoaded||(this._fullyLoaded=!0),this.fire(new t.Event(\\\"idle\\\"))),this}},i.prototype.remove=function(){this._hash&&this._hash.remove();for(var e=0,r=this._controls;e<r.length;e+=1){r[e].onRemove(this)}this._controls=[],this._frame&&(this._frame.cancel(),this._frame=null),this._renderTaskQueue.clear(),this.painter.destroy(),this.handlers.destroy(),delete this.handlers,this.setStyle(null),void 0!==t.window&&(t.window.removeEventListener(\\\"resize\\\",this._onWindowResize,!1),t.window.removeEventListener(\\\"online\\\",this._onWindowOnline,!1));var n=this.painter.context.gl.getExtension(\\\"WEBGL_lose_context\\\");n&&n.loseContext(),Li(this._canvasContainer),Li(this._controlContainer),Li(this._missingCSSCanary),this._container.classList.remove(\\\"mapboxgl-map\\\"),this._removed=!0,this.fire(new t.Event(\\\"remove\\\"))},i.prototype.triggerRepaint=function(){var e=this;this.style&&!this._frame&&(this._frame=t.browser.frame((function(t){e._frame=null,e._render(t)})))},i.prototype._onWindowOnline=function(){this._update()},i.prototype._onWindowResize=function(t){this._trackResize&&this.resize({originalEvent:t})._update()},a.showTileBoundaries.get=function(){return!!this._showTileBoundaries},a.showTileBoundaries.set=function(t){this._showTileBoundaries!==t&&(this._showTileBoundaries=t,this._update())},a.showPadding.get=function(){return!!this._showPadding},a.showPadding.set=function(t){this._showPadding!==t&&(this._showPadding=t,this._update())},a.showCollisionBoxes.get=function(){return!!this._showCollisionBoxes},a.showCollisionBoxes.set=function(t){this._showCollisionBoxes!==t&&(this._showCollisionBoxes=t,t?this.style._generateCollisionBoxes():this._update())},a.showOverdrawInspector.get=function(){return!!this._showOverdrawInspector},a.showOverdrawInspector.set=function(t){this._showOverdrawInspector!==t&&(this._showOverdrawInspector=t,this._update())},a.repaint.get=function(){return!!this._repaint},a.repaint.set=function(t){this._repaint!==t&&(this._repaint=t,this.triggerRepaint())},a.vertices.get=function(){return!!this._vertices},a.vertices.set=function(t){this._vertices=t,this._update()},i.prototype._setCacheLimits=function(e,r){t.setCacheLimits(e,r)},a.version.get=function(){return t.version},Object.defineProperties(i.prototype,a),i}(xi);function Li(t){t.parentNode&&t.parentNode.removeChild(t)}var Ci={showCompass:!0,showZoom:!0,visualizePitch:!1},Pi=function(e){var n=this;this.options=t.extend({},Ci,e),this._container=r.create(\\\"div\\\",\\\"mapboxgl-ctrl mapboxgl-ctrl-group\\\"),this._container.addEventListener(\\\"contextmenu\\\",(function(t){return t.preventDefault()})),this.options.showZoom&&(t.bindAll([\\\"_setButtonTitle\\\",\\\"_updateZoomButtons\\\"],this),this._zoomInButton=this._createButton(\\\"mapboxgl-ctrl-zoom-in\\\",(function(t){return n._map.zoomIn({},{originalEvent:t})})),r.create(\\\"span\\\",\\\"mapboxgl-ctrl-icon\\\",this._zoomInButton).setAttribute(\\\"aria-hidden\\\",!0),this._zoomOutButton=this._createButton(\\\"mapboxgl-ctrl-zoom-out\\\",(function(t){return n._map.zoomOut({},{originalEvent:t})})),r.create(\\\"span\\\",\\\"mapboxgl-ctrl-icon\\\",this._zoomOutButton).setAttribute(\\\"aria-hidden\\\",!0)),this.options.showCompass&&(t.bindAll([\\\"_rotateCompassArrow\\\"],this),this._compass=this._createButton(\\\"mapboxgl-ctrl-compass\\\",(function(t){n.options.visualizePitch?n._map.resetNorthPitch({},{originalEvent:t}):n._map.resetNorth({},{originalEvent:t})})),this._compassIcon=r.create(\\\"span\\\",\\\"mapboxgl-ctrl-icon\\\",this._compass),this._compassIcon.setAttribute(\\\"aria-hidden\\\",!0))};Pi.prototype._updateZoomButtons=function(){var t=this._map.getZoom();this._zoomInButton.disabled=t===this._map.getMaxZoom(),this._zoomOutButton.disabled=t===this._map.getMinZoom()},Pi.prototype._rotateCompassArrow=function(){var t=this.options.visualizePitch?\\\"scale(\\\"+1/Math.pow(Math.cos(this._map.transform.pitch*(Math.PI/180)),.5)+\\\") rotateX(\\\"+this._map.transform.pitch+\\\"deg) rotateZ(\\\"+this._map.transform.angle*(180/Math.PI)+\\\"deg)\\\":\\\"rotate(\\\"+this._map.transform.angle*(180/Math.PI)+\\\"deg)\\\";this._compassIcon.style.transform=t},Pi.prototype.onAdd=function(t){return this._map=t,this.options.showZoom&&(this._setButtonTitle(this._zoomInButton,\\\"ZoomIn\\\"),this._setButtonTitle(this._zoomOutButton,\\\"ZoomOut\\\"),this._map.on(\\\"zoom\\\",this._updateZoomButtons),this._updateZoomButtons()),this.options.showCompass&&(this._setButtonTitle(this._compass,\\\"ResetBearing\\\"),this.options.visualizePitch&&this._map.on(\\\"pitch\\\",this._rotateCompassArrow),this._map.on(\\\"rotate\\\",this._rotateCompassArrow),this._rotateCompassArrow(),this._handler=new Ii(this._map,this._compass,this.options.visualizePitch)),this._container},Pi.prototype.onRemove=function(){r.remove(this._container),this.options.showZoom&&this._map.off(\\\"zoom\\\",this._updateZoomButtons),this.options.showCompass&&(this.options.visualizePitch&&this._map.off(\\\"pitch\\\",this._rotateCompassArrow),this._map.off(\\\"rotate\\\",this._rotateCompassArrow),this._handler.off(),delete this._handler),delete this._map},Pi.prototype._createButton=function(t,e){var n=r.create(\\\"button\\\",t,this._container);return n.type=\\\"button\\\",n.addEventListener(\\\"click\\\",e),n},Pi.prototype._setButtonTitle=function(t,e){var r=this._map._getUIString(\\\"NavigationControl.\\\"+e);t.title=r,t.setAttribute(\\\"aria-label\\\",r)};var Ii=function(e,n,i){void 0===i&&(i=!1),this._clickTolerance=10,this.element=n,this.mouseRotate=new Xn({clickTolerance:e.dragRotate._mouseRotate._clickTolerance}),this.map=e,i&&(this.mousePitch=new Zn({clickTolerance:e.dragRotate._mousePitch._clickTolerance})),t.bindAll([\\\"mousedown\\\",\\\"mousemove\\\",\\\"mouseup\\\",\\\"touchstart\\\",\\\"touchmove\\\",\\\"touchend\\\",\\\"reset\\\"],this),r.addEventListener(n,\\\"mousedown\\\",this.mousedown),r.addEventListener(n,\\\"touchstart\\\",this.touchstart,{passive:!1}),r.addEventListener(n,\\\"touchmove\\\",this.touchmove),r.addEventListener(n,\\\"touchend\\\",this.touchend),r.addEventListener(n,\\\"touchcancel\\\",this.reset)};function Oi(e,r,n){if(e=new t.LngLat(e.lng,e.lat),r){var i=new t.LngLat(e.lng-360,e.lat),a=new t.LngLat(e.lng+360,e.lat),o=n.locationPoint(e).distSqr(r);n.locationPoint(i).distSqr(r)<o?e=i:n.locationPoint(a).distSqr(r)<o&&(e=a)}for(;Math.abs(e.lng-n.center.lng)>180;){var s=n.locationPoint(e);if(s.x>=0&&s.y>=0&&s.x<=n.width&&s.y<=n.height)break;e.lng>n.center.lng?e.lng-=360:e.lng+=360}return e}Ii.prototype.down=function(t,e){this.mouseRotate.mousedown(t,e),this.mousePitch&&this.mousePitch.mousedown(t,e),r.disableDrag()},Ii.prototype.move=function(t,e){var r=this.map,n=this.mouseRotate.mousemoveWindow(t,e);if(n&&n.bearingDelta&&r.setBearing(r.getBearing()+n.bearingDelta),this.mousePitch){var i=this.mousePitch.mousemoveWindow(t,e);i&&i.pitchDelta&&r.setPitch(r.getPitch()+i.pitchDelta)}},Ii.prototype.off=function(){var t=this.element;r.removeEventListener(t,\\\"mousedown\\\",this.mousedown),r.removeEventListener(t,\\\"touchstart\\\",this.touchstart,{passive:!1}),r.removeEventListener(t,\\\"touchmove\\\",this.touchmove),r.removeEventListener(t,\\\"touchend\\\",this.touchend),r.removeEventListener(t,\\\"touchcancel\\\",this.reset),this.offTemp()},Ii.prototype.offTemp=function(){r.enableDrag(),r.removeEventListener(t.window,\\\"mousemove\\\",this.mousemove),r.removeEventListener(t.window,\\\"mouseup\\\",this.mouseup)},Ii.prototype.mousedown=function(e){this.down(t.extend({},e,{ctrlKey:!0,preventDefault:function(){return e.preventDefault()}}),r.mousePos(this.element,e)),r.addEventListener(t.window,\\\"mousemove\\\",this.mousemove),r.addEventListener(t.window,\\\"mouseup\\\",this.mouseup)},Ii.prototype.mousemove=function(t){this.move(t,r.mousePos(this.element,t))},Ii.prototype.mouseup=function(t){this.mouseRotate.mouseupWindow(t),this.mousePitch&&this.mousePitch.mouseupWindow(t),this.offTemp()},Ii.prototype.touchstart=function(t){1!==t.targetTouches.length?this.reset():(this._startPos=this._lastPos=r.touchPos(this.element,t.targetTouches)[0],this.down({type:\\\"mousedown\\\",button:0,ctrlKey:!0,preventDefault:function(){return t.preventDefault()}},this._startPos))},Ii.prototype.touchmove=function(t){1!==t.targetTouches.length?this.reset():(this._lastPos=r.touchPos(this.element,t.targetTouches)[0],this.move({preventDefault:function(){return t.preventDefault()}},this._lastPos))},Ii.prototype.touchend=function(t){0===t.targetTouches.length&&this._startPos&&this._lastPos&&this._startPos.dist(this._lastPos)<this._clickTolerance&&this.element.click(),this.reset()},Ii.prototype.reset=function(){this.mouseRotate.reset(),this.mousePitch&&this.mousePitch.reset(),delete this._startPos,delete this._lastPos,this.offTemp()};var zi={center:\\\"translate(-50%,-50%)\\\",top:\\\"translate(-50%,0)\\\",\\\"top-left\\\":\\\"translate(0,0)\\\",\\\"top-right\\\":\\\"translate(-100%,0)\\\",bottom:\\\"translate(-50%,-100%)\\\",\\\"bottom-left\\\":\\\"translate(0,-100%)\\\",\\\"bottom-right\\\":\\\"translate(-100%,-100%)\\\",left:\\\"translate(0,-50%)\\\",right:\\\"translate(-100%,-50%)\\\"};function Di(t,e,r){var n=t.classList;for(var i in zi)n.remove(\\\"mapboxgl-\\\"+r+\\\"-anchor-\\\"+i);n.add(\\\"mapboxgl-\\\"+r+\\\"-anchor-\\\"+e)}var Ri,Fi=function(e){function n(n,i){var a=this;if(e.call(this),(n instanceof t.window.HTMLElement||i)&&(n=t.extend({element:n},i)),t.bindAll([\\\"_update\\\",\\\"_onMove\\\",\\\"_onUp\\\",\\\"_addDragHandler\\\",\\\"_onMapClick\\\",\\\"_onKeyPress\\\"],this),this._anchor=n&&n.anchor||\\\"center\\\",this._color=n&&n.color||\\\"#3FB1CE\\\",this._draggable=n&&n.draggable||!1,this._state=\\\"inactive\\\",this._rotation=n&&n.rotation||0,this._rotationAlignment=n&&n.rotationAlignment||\\\"auto\\\",this._pitchAlignment=n&&n.pitchAlignment&&\\\"auto\\\"!==n.pitchAlignment?n.pitchAlignment:this._rotationAlignment,n&&n.element)this._element=n.element,this._offset=t.Point.convert(n&&n.offset||[0,0]);else{this._defaultMarker=!0,this._element=r.create(\\\"div\\\"),this._element.setAttribute(\\\"aria-label\\\",\\\"Map marker\\\");var o=r.createNS(\\\"http://www.w3.org/2000/svg\\\",\\\"svg\\\");o.setAttributeNS(null,\\\"display\\\",\\\"block\\\"),o.setAttributeNS(null,\\\"height\\\",\\\"41px\\\"),o.setAttributeNS(null,\\\"width\\\",\\\"27px\\\"),o.setAttributeNS(null,\\\"viewBox\\\",\\\"0 0 27 41\\\");var s=r.createNS(\\\"http://www.w3.org/2000/svg\\\",\\\"g\\\");s.setAttributeNS(null,\\\"stroke\\\",\\\"none\\\"),s.setAttributeNS(null,\\\"stroke-width\\\",\\\"1\\\"),s.setAttributeNS(null,\\\"fill\\\",\\\"none\\\"),s.setAttributeNS(null,\\\"fill-rule\\\",\\\"evenodd\\\");var l=r.createNS(\\\"http://www.w3.org/2000/svg\\\",\\\"g\\\");l.setAttributeNS(null,\\\"fill-rule\\\",\\\"nonzero\\\");var c=r.createNS(\\\"http://www.w3.org/2000/svg\\\",\\\"g\\\");c.setAttributeNS(null,\\\"transform\\\",\\\"translate(3.0, 29.0)\\\"),c.setAttributeNS(null,\\\"fill\\\",\\\"#000000\\\");for(var u=0,f=[{rx:\\\"10.5\\\",ry:\\\"5.25002273\\\"},{rx:\\\"10.5\\\",ry:\\\"5.25002273\\\"},{rx:\\\"9.5\\\",ry:\\\"4.77275007\\\"},{rx:\\\"8.5\\\",ry:\\\"4.29549936\\\"},{rx:\\\"7.5\\\",ry:\\\"3.81822308\\\"},{rx:\\\"6.5\\\",ry:\\\"3.34094679\\\"},{rx:\\\"5.5\\\",ry:\\\"2.86367051\\\"},{rx:\\\"4.5\\\",ry:\\\"2.38636864\\\"}];u<f.length;u+=1){var h=f[u],p=r.createNS(\\\"http://www.w3.org/2000/svg\\\",\\\"ellipse\\\");p.setAttributeNS(null,\\\"opacity\\\",\\\"0.04\\\"),p.setAttributeNS(null,\\\"cx\\\",\\\"10.5\\\"),p.setAttributeNS(null,\\\"cy\\\",\\\"5.80029008\\\"),p.setAttributeNS(null,\\\"rx\\\",h.rx),p.setAttributeNS(null,\\\"ry\\\",h.ry),c.appendChild(p)}var d=r.createNS(\\\"http://www.w3.org/2000/svg\\\",\\\"g\\\");d.setAttributeNS(null,\\\"fill\\\",this._color);var m=r.createNS(\\\"http://www.w3.org/2000/svg\\\",\\\"path\\\");m.setAttributeNS(null,\\\"d\\\",\\\"M27,13.5 C27,19.074644 20.250001,27.000002 14.75,34.500002 C14.016665,35.500004 12.983335,35.500004 12.25,34.500002 C6.7499993,27.000002 0,19.222562 0,13.5 C0,6.0441559 6.0441559,0 13.5,0 C20.955844,0 27,6.0441559 27,13.5 Z\\\"),d.appendChild(m);var g=r.createNS(\\\"http://www.w3.org/2000/svg\\\",\\\"g\\\");g.setAttributeNS(null,\\\"opacity\\\",\\\"0.25\\\"),g.setAttributeNS(null,\\\"fill\\\",\\\"#000000\\\");var v=r.createNS(\\\"http://www.w3.org/2000/svg\\\",\\\"path\\\");v.setAttributeNS(null,\\\"d\\\",\\\"M13.5,0 C6.0441559,0 0,6.0441559 0,13.5 C0,19.222562 6.7499993,27 12.25,34.5 C13,35.522727 14.016664,35.500004 14.75,34.5 C20.250001,27 27,19.074644 27,13.5 C27,6.0441559 20.955844,0 13.5,0 Z M13.5,1 C20.415404,1 26,6.584596 26,13.5 C26,15.898657 24.495584,19.181431 22.220703,22.738281 C19.945823,26.295132 16.705119,30.142167 13.943359,33.908203 C13.743445,34.180814 13.612715,34.322738 13.5,34.441406 C13.387285,34.322738 13.256555,34.180814 13.056641,33.908203 C10.284481,30.127985 7.4148684,26.314159 5.015625,22.773438 C2.6163816,19.232715 1,15.953538 1,13.5 C1,6.584596 6.584596,1 13.5,1 Z\\\"),g.appendChild(v);var y=r.createNS(\\\"http://www.w3.org/2000/svg\\\",\\\"g\\\");y.setAttributeNS(null,\\\"transform\\\",\\\"translate(6.0, 7.0)\\\"),y.setAttributeNS(null,\\\"fill\\\",\\\"#FFFFFF\\\");var x=r.createNS(\\\"http://www.w3.org/2000/svg\\\",\\\"g\\\");x.setAttributeNS(null,\\\"transform\\\",\\\"translate(8.0, 8.0)\\\");var b=r.createNS(\\\"http://www.w3.org/2000/svg\\\",\\\"circle\\\");b.setAttributeNS(null,\\\"fill\\\",\\\"#000000\\\"),b.setAttributeNS(null,\\\"opacity\\\",\\\"0.25\\\"),b.setAttributeNS(null,\\\"cx\\\",\\\"5.5\\\"),b.setAttributeNS(null,\\\"cy\\\",\\\"5.5\\\"),b.setAttributeNS(null,\\\"r\\\",\\\"5.4999962\\\");var _=r.createNS(\\\"http://www.w3.org/2000/svg\\\",\\\"circle\\\");_.setAttributeNS(null,\\\"fill\\\",\\\"#FFFFFF\\\"),_.setAttributeNS(null,\\\"cx\\\",\\\"5.5\\\"),_.setAttributeNS(null,\\\"cy\\\",\\\"5.5\\\"),_.setAttributeNS(null,\\\"r\\\",\\\"5.4999962\\\"),x.appendChild(b),x.appendChild(_),l.appendChild(c),l.appendChild(d),l.appendChild(g),l.appendChild(y),l.appendChild(x),o.appendChild(l),this._element.appendChild(o),this._offset=t.Point.convert(n&&n.offset||[0,-14])}this._element.classList.add(\\\"mapboxgl-marker\\\"),this._element.addEventListener(\\\"dragstart\\\",(function(t){t.preventDefault()})),this._element.addEventListener(\\\"mousedown\\\",(function(t){t.preventDefault()})),this._element.addEventListener(\\\"focus\\\",(function(){var t=a._map.getContainer();t.scrollTop=0,t.scrollLeft=0})),Di(this._element,this._anchor,\\\"marker\\\"),this._popup=null}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.addTo=function(t){return this.remove(),this._map=t,t.getCanvasContainer().appendChild(this._element),t.on(\\\"move\\\",this._update),t.on(\\\"moveend\\\",this._update),this.setDraggable(this._draggable),this._update(),this._map.on(\\\"click\\\",this._onMapClick),this},n.prototype.remove=function(){return this._map&&(this._map.off(\\\"click\\\",this._onMapClick),this._map.off(\\\"move\\\",this._update),this._map.off(\\\"moveend\\\",this._update),this._map.off(\\\"mousedown\\\",this._addDragHandler),this._map.off(\\\"touchstart\\\",this._addDragHandler),this._map.off(\\\"mouseup\\\",this._onUp),this._map.off(\\\"touchend\\\",this._onUp),this._map.off(\\\"mousemove\\\",this._onMove),this._map.off(\\\"touchmove\\\",this._onMove),delete this._map),r.remove(this._element),this._popup&&this._popup.remove(),this},n.prototype.getLngLat=function(){return this._lngLat},n.prototype.setLngLat=function(e){return this._lngLat=t.LngLat.convert(e),this._pos=null,this._popup&&this._popup.setLngLat(this._lngLat),this._update(),this},n.prototype.getElement=function(){return this._element},n.prototype.setPopup=function(t){if(this._popup&&(this._popup.remove(),this._popup=null,this._element.removeEventListener(\\\"keypress\\\",this._onKeyPress),this._originalTabIndex||this._element.removeAttribute(\\\"tabindex\\\")),t){if(!(\\\"offset\\\"in t.options)){var e=Math.sqrt(Math.pow(13.5,2)/2);t.options.offset=this._defaultMarker?{top:[0,0],\\\"top-left\\\":[0,0],\\\"top-right\\\":[0,0],bottom:[0,-38.1],\\\"bottom-left\\\":[e,-1*(24.6+e)],\\\"bottom-right\\\":[-e,-1*(24.6+e)],left:[13.5,-24.6],right:[-13.5,-24.6]}:this._offset}this._popup=t,this._lngLat&&this._popup.setLngLat(this._lngLat),this._originalTabIndex=this._element.getAttribute(\\\"tabindex\\\"),this._originalTabIndex||this._element.setAttribute(\\\"tabindex\\\",\\\"0\\\"),this._element.addEventListener(\\\"keypress\\\",this._onKeyPress)}return this},n.prototype._onKeyPress=function(t){var e=t.code,r=t.charCode||t.keyCode;\\\"Space\\\"!==e&&\\\"Enter\\\"!==e&&32!==r&&13!==r||this.togglePopup()},n.prototype._onMapClick=function(t){var e=t.originalEvent.target,r=this._element;this._popup&&(e===r||r.contains(e))&&this.togglePopup()},n.prototype.getPopup=function(){return this._popup},n.prototype.togglePopup=function(){var t=this._popup;return t?(t.isOpen()?t.remove():t.addTo(this._map),this):this},n.prototype._update=function(t){if(this._map){this._map.transform.renderWorldCopies&&(this._lngLat=Oi(this._lngLat,this._pos,this._map.transform)),this._pos=this._map.project(this._lngLat)._add(this._offset);var e=\\\"\\\";\\\"viewport\\\"===this._rotationAlignment||\\\"auto\\\"===this._rotationAlignment?e=\\\"rotateZ(\\\"+this._rotation+\\\"deg)\\\":\\\"map\\\"===this._rotationAlignment&&(e=\\\"rotateZ(\\\"+(this._rotation-this._map.getBearing())+\\\"deg)\\\");var n=\\\"\\\";\\\"viewport\\\"===this._pitchAlignment||\\\"auto\\\"===this._pitchAlignment?n=\\\"rotateX(0deg)\\\":\\\"map\\\"===this._pitchAlignment&&(n=\\\"rotateX(\\\"+this._map.getPitch()+\\\"deg)\\\"),t&&\\\"moveend\\\"!==t.type||(this._pos=this._pos.round()),r.setTransform(this._element,zi[this._anchor]+\\\" translate(\\\"+this._pos.x+\\\"px, \\\"+this._pos.y+\\\"px) \\\"+n+\\\" \\\"+e)}},n.prototype.getOffset=function(){return this._offset},n.prototype.setOffset=function(e){return this._offset=t.Point.convert(e),this._update(),this},n.prototype._onMove=function(e){this._pos=e.point.sub(this._positionDelta),this._lngLat=this._map.unproject(this._pos),this.setLngLat(this._lngLat),this._element.style.pointerEvents=\\\"none\\\",\\\"pending\\\"===this._state&&(this._state=\\\"active\\\",this.fire(new t.Event(\\\"dragstart\\\"))),this.fire(new t.Event(\\\"drag\\\"))},n.prototype._onUp=function(){this._element.style.pointerEvents=\\\"auto\\\",this._positionDelta=null,this._map.off(\\\"mousemove\\\",this._onMove),this._map.off(\\\"touchmove\\\",this._onMove),\\\"active\\\"===this._state&&this.fire(new t.Event(\\\"dragend\\\")),this._state=\\\"inactive\\\"},n.prototype._addDragHandler=function(t){this._element.contains(t.originalEvent.target)&&(t.preventDefault(),this._positionDelta=t.point.sub(this._pos).add(this._offset),this._state=\\\"pending\\\",this._map.on(\\\"mousemove\\\",this._onMove),this._map.on(\\\"touchmove\\\",this._onMove),this._map.once(\\\"mouseup\\\",this._onUp),this._map.once(\\\"touchend\\\",this._onUp))},n.prototype.setDraggable=function(t){return this._draggable=!!t,this._map&&(t?(this._map.on(\\\"mousedown\\\",this._addDragHandler),this._map.on(\\\"touchstart\\\",this._addDragHandler)):(this._map.off(\\\"mousedown\\\",this._addDragHandler),this._map.off(\\\"touchstart\\\",this._addDragHandler))),this},n.prototype.isDraggable=function(){return this._draggable},n.prototype.setRotation=function(t){return this._rotation=t||0,this._update(),this},n.prototype.getRotation=function(){return this._rotation},n.prototype.setRotationAlignment=function(t){return this._rotationAlignment=t||\\\"auto\\\",this._update(),this},n.prototype.getRotationAlignment=function(){return this._rotationAlignment},n.prototype.setPitchAlignment=function(t){return this._pitchAlignment=t&&\\\"auto\\\"!==t?t:this._rotationAlignment,this._update(),this},n.prototype.getPitchAlignment=function(){return this._pitchAlignment},n}(t.Evented),Bi={positionOptions:{enableHighAccuracy:!1,maximumAge:0,timeout:6e3},fitBoundsOptions:{maxZoom:15},trackUserLocation:!1,showAccuracyCircle:!0,showUserLocation:!0};var Ni=0,ji=!1,Ui=function(e){function n(r){e.call(this),this.options=t.extend({},Bi,r),t.bindAll([\\\"_onSuccess\\\",\\\"_onError\\\",\\\"_onZoom\\\",\\\"_finish\\\",\\\"_setupUI\\\",\\\"_updateCamera\\\",\\\"_updateMarker\\\"],this)}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.onAdd=function(e){var n;return this._map=e,this._container=r.create(\\\"div\\\",\\\"mapboxgl-ctrl mapboxgl-ctrl-group\\\"),n=this._setupUI,void 0!==Ri?n(Ri):void 0!==t.window.navigator.permissions?t.window.navigator.permissions.query({name:\\\"geolocation\\\"}).then((function(t){Ri=\\\"denied\\\"!==t.state,n(Ri)})):(Ri=!!t.window.navigator.geolocation,n(Ri)),this._container},n.prototype.onRemove=function(){void 0!==this._geolocationWatchID&&(t.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0),this.options.showUserLocation&&this._userLocationDotMarker&&this._userLocationDotMarker.remove(),this.options.showAccuracyCircle&&this._accuracyCircleMarker&&this._accuracyCircleMarker.remove(),r.remove(this._container),this._map.off(\\\"zoom\\\",this._onZoom),this._map=void 0,Ni=0,ji=!1},n.prototype._isOutOfMapMaxBounds=function(t){var e=this._map.getMaxBounds(),r=t.coords;return e&&(r.longitude<e.getWest()||r.longitude>e.getEast()||r.latitude<e.getSouth()||r.latitude>e.getNorth())},n.prototype._setErrorState=function(){switch(this._watchState){case\\\"WAITING_ACTIVE\\\":this._watchState=\\\"ACTIVE_ERROR\\\",this._geolocateButton.classList.remove(\\\"mapboxgl-ctrl-geolocate-active\\\"),this._geolocateButton.classList.add(\\\"mapboxgl-ctrl-geolocate-active-error\\\");break;case\\\"ACTIVE_LOCK\\\":this._watchState=\\\"ACTIVE_ERROR\\\",this._geolocateButton.classList.remove(\\\"mapboxgl-ctrl-geolocate-active\\\"),this._geolocateButton.classList.add(\\\"mapboxgl-ctrl-geolocate-active-error\\\"),this._geolocateButton.classList.add(\\\"mapboxgl-ctrl-geolocate-waiting\\\");break;case\\\"BACKGROUND\\\":this._watchState=\\\"BACKGROUND_ERROR\\\",this._geolocateButton.classList.remove(\\\"mapboxgl-ctrl-geolocate-background\\\"),this._geolocateButton.classList.add(\\\"mapboxgl-ctrl-geolocate-background-error\\\"),this._geolocateButton.classList.add(\\\"mapboxgl-ctrl-geolocate-waiting\\\")}},n.prototype._onSuccess=function(e){if(this._map){if(this._isOutOfMapMaxBounds(e))return this._setErrorState(),this.fire(new t.Event(\\\"outofmaxbounds\\\",e)),this._updateMarker(),void this._finish();if(this.options.trackUserLocation)switch(this._lastKnownPosition=e,this._watchState){case\\\"WAITING_ACTIVE\\\":case\\\"ACTIVE_LOCK\\\":case\\\"ACTIVE_ERROR\\\":this._watchState=\\\"ACTIVE_LOCK\\\",this._geolocateButton.classList.remove(\\\"mapboxgl-ctrl-geolocate-waiting\\\"),this._geolocateButton.classList.remove(\\\"mapboxgl-ctrl-geolocate-active-error\\\"),this._geolocateButton.classList.add(\\\"mapboxgl-ctrl-geolocate-active\\\");break;case\\\"BACKGROUND\\\":case\\\"BACKGROUND_ERROR\\\":this._watchState=\\\"BACKGROUND\\\",this._geolocateButton.classList.remove(\\\"mapboxgl-ctrl-geolocate-waiting\\\"),this._geolocateButton.classList.remove(\\\"mapboxgl-ctrl-geolocate-background-error\\\"),this._geolocateButton.classList.add(\\\"mapboxgl-ctrl-geolocate-background\\\")}this.options.showUserLocation&&\\\"OFF\\\"!==this._watchState&&this._updateMarker(e),this.options.trackUserLocation&&\\\"ACTIVE_LOCK\\\"!==this._watchState||this._updateCamera(e),this.options.showUserLocation&&this._dotElement.classList.remove(\\\"mapboxgl-user-location-dot-stale\\\"),this.fire(new t.Event(\\\"geolocate\\\",e)),this._finish()}},n.prototype._updateCamera=function(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude),n=e.coords.accuracy,i=this._map.getBearing(),a=t.extend({bearing:i},this.options.fitBoundsOptions);this._map.fitBounds(r.toBounds(n),a,{geolocateSource:!0})},n.prototype._updateMarker=function(e){if(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude);this._accuracyCircleMarker.setLngLat(r).addTo(this._map),this._userLocationDotMarker.setLngLat(r).addTo(this._map),this._accuracy=e.coords.accuracy,this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()}else this._userLocationDotMarker.remove(),this._accuracyCircleMarker.remove()},n.prototype._updateCircleRadius=function(){var t=this._map._container.clientHeight/2,e=this._map.unproject([0,t]),r=this._map.unproject([1,t]),n=e.distanceTo(r),i=Math.ceil(2*this._accuracy/n);this._circleElement.style.width=i+\\\"px\\\",this._circleElement.style.height=i+\\\"px\\\"},n.prototype._onZoom=function(){this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()},n.prototype._onError=function(e){if(this._map){if(this.options.trackUserLocation)if(1===e.code){this._watchState=\\\"OFF\\\",this._geolocateButton.classList.remove(\\\"mapboxgl-ctrl-geolocate-waiting\\\"),this._geolocateButton.classList.remove(\\\"mapboxgl-ctrl-geolocate-active\\\"),this._geolocateButton.classList.remove(\\\"mapboxgl-ctrl-geolocate-active-error\\\"),this._geolocateButton.classList.remove(\\\"mapboxgl-ctrl-geolocate-background\\\"),this._geolocateButton.classList.remove(\\\"mapboxgl-ctrl-geolocate-background-error\\\"),this._geolocateButton.disabled=!0;var r=this._map._getUIString(\\\"GeolocateControl.LocationNotAvailable\\\");this._geolocateButton.title=r,this._geolocateButton.setAttribute(\\\"aria-label\\\",r),void 0!==this._geolocationWatchID&&this._clearWatch()}else{if(3===e.code&&ji)return;this._setErrorState()}\\\"OFF\\\"!==this._watchState&&this.options.showUserLocation&&this._dotElement.classList.add(\\\"mapboxgl-user-location-dot-stale\\\"),this.fire(new t.Event(\\\"error\\\",e)),this._finish()}},n.prototype._finish=function(){this._timeoutId&&clearTimeout(this._timeoutId),this._timeoutId=void 0},n.prototype._setupUI=function(e){var n=this;if(this._container.addEventListener(\\\"contextmenu\\\",(function(t){return t.preventDefault()})),this._geolocateButton=r.create(\\\"button\\\",\\\"mapboxgl-ctrl-geolocate\\\",this._container),r.create(\\\"span\\\",\\\"mapboxgl-ctrl-icon\\\",this._geolocateButton).setAttribute(\\\"aria-hidden\\\",!0),this._geolocateButton.type=\\\"button\\\",!1===e){t.warnOnce(\\\"Geolocation support is not available so the GeolocateControl will be disabled.\\\");var i=this._map._getUIString(\\\"GeolocateControl.LocationNotAvailable\\\");this._geolocateButton.disabled=!0,this._geolocateButton.title=i,this._geolocateButton.setAttribute(\\\"aria-label\\\",i)}else{var a=this._map._getUIString(\\\"GeolocateControl.FindMyLocation\\\");this._geolocateButton.title=a,this._geolocateButton.setAttribute(\\\"aria-label\\\",a)}this.options.trackUserLocation&&(this._geolocateButton.setAttribute(\\\"aria-pressed\\\",\\\"false\\\"),this._watchState=\\\"OFF\\\"),this.options.showUserLocation&&(this._dotElement=r.create(\\\"div\\\",\\\"mapboxgl-user-location-dot\\\"),this._userLocationDotMarker=new Fi(this._dotElement),this._circleElement=r.create(\\\"div\\\",\\\"mapboxgl-user-location-accuracy-circle\\\"),this._accuracyCircleMarker=new Fi({element:this._circleElement,pitchAlignment:\\\"map\\\"}),this.options.trackUserLocation&&(this._watchState=\\\"OFF\\\"),this._map.on(\\\"zoom\\\",this._onZoom)),this._geolocateButton.addEventListener(\\\"click\\\",this.trigger.bind(this)),this._setup=!0,this.options.trackUserLocation&&this._map.on(\\\"movestart\\\",(function(e){var r=e.originalEvent&&\\\"resize\\\"===e.originalEvent.type;e.geolocateSource||\\\"ACTIVE_LOCK\\\"!==n._watchState||r||(n._watchState=\\\"BACKGROUND\\\",n._geolocateButton.classList.add(\\\"mapboxgl-ctrl-geolocate-background\\\"),n._geolocateButton.classList.remove(\\\"mapboxgl-ctrl-geolocate-active\\\"),n.fire(new t.Event(\\\"trackuserlocationend\\\")))}))},n.prototype.trigger=function(){if(!this._setup)return t.warnOnce(\\\"Geolocate control triggered before added to a map\\\"),!1;if(this.options.trackUserLocation){switch(this._watchState){case\\\"OFF\\\":this._watchState=\\\"WAITING_ACTIVE\\\",this.fire(new t.Event(\\\"trackuserlocationstart\\\"));break;case\\\"WAITING_ACTIVE\\\":case\\\"ACTIVE_LOCK\\\":case\\\"ACTIVE_ERROR\\\":case\\\"BACKGROUND_ERROR\\\":Ni--,ji=!1,this._watchState=\\\"OFF\\\",this._geolocateButton.classList.remove(\\\"mapboxgl-ctrl-geolocate-waiting\\\"),this._geolocateButton.classList.remove(\\\"mapboxgl-ctrl-geolocate-active\\\"),this._geolocateButton.classList.remove(\\\"mapboxgl-ctrl-geolocate-active-error\\\"),this._geolocateButton.classList.remove(\\\"mapboxgl-ctrl-geolocate-background\\\"),this._geolocateButton.classList.remove(\\\"mapboxgl-ctrl-geolocate-background-error\\\"),this.fire(new t.Event(\\\"trackuserlocationend\\\"));break;case\\\"BACKGROUND\\\":this._watchState=\\\"ACTIVE_LOCK\\\",this._geolocateButton.classList.remove(\\\"mapboxgl-ctrl-geolocate-background\\\"),this._lastKnownPosition&&this._updateCamera(this._lastKnownPosition),this.fire(new t.Event(\\\"trackuserlocationstart\\\"))}switch(this._watchState){case\\\"WAITING_ACTIVE\\\":this._geolocateButton.classList.add(\\\"mapboxgl-ctrl-geolocate-waiting\\\"),this._geolocateButton.classList.add(\\\"mapboxgl-ctrl-geolocate-active\\\");break;case\\\"ACTIVE_LOCK\\\":this._geolocateButton.classList.add(\\\"mapboxgl-ctrl-geolocate-active\\\");break;case\\\"ACTIVE_ERROR\\\":this._geolocateButton.classList.add(\\\"mapboxgl-ctrl-geolocate-waiting\\\"),this._geolocateButton.classList.add(\\\"mapboxgl-ctrl-geolocate-active-error\\\");break;case\\\"BACKGROUND\\\":this._geolocateButton.classList.add(\\\"mapboxgl-ctrl-geolocate-background\\\");break;case\\\"BACKGROUND_ERROR\\\":this._geolocateButton.classList.add(\\\"mapboxgl-ctrl-geolocate-waiting\\\"),this._geolocateButton.classList.add(\\\"mapboxgl-ctrl-geolocate-background-error\\\")}if(\\\"OFF\\\"===this._watchState&&void 0!==this._geolocationWatchID)this._clearWatch();else if(void 0===this._geolocationWatchID){var e;this._geolocateButton.classList.add(\\\"mapboxgl-ctrl-geolocate-waiting\\\"),this._geolocateButton.setAttribute(\\\"aria-pressed\\\",\\\"true\\\"),++Ni>1?(e={maximumAge:6e5,timeout:0},ji=!0):(e=this.options.positionOptions,ji=!1),this._geolocationWatchID=t.window.navigator.geolocation.watchPosition(this._onSuccess,this._onError,e)}}else t.window.navigator.geolocation.getCurrentPosition(this._onSuccess,this._onError,this.options.positionOptions),this._timeoutId=setTimeout(this._finish,1e4);return!0},n.prototype._clearWatch=function(){t.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0,this._geolocateButton.classList.remove(\\\"mapboxgl-ctrl-geolocate-waiting\\\"),this._geolocateButton.setAttribute(\\\"aria-pressed\\\",\\\"false\\\"),this.options.showUserLocation&&this._updateMarker(null)},n}(t.Evented),Vi={maxWidth:100,unit:\\\"metric\\\"},qi=function(e){this.options=t.extend({},Vi,e),t.bindAll([\\\"_onMove\\\",\\\"setUnit\\\"],this)};function Hi(t,e,r){var n=r&&r.maxWidth||100,i=t._container.clientHeight/2,a=t.unproject([0,i]),o=t.unproject([n,i]),s=a.distanceTo(o);if(r&&\\\"imperial\\\"===r.unit){var l=3.2808*s;if(l>5280)Gi(e,n,l/5280,t._getUIString(\\\"ScaleControl.Miles\\\"));else Gi(e,n,l,t._getUIString(\\\"ScaleControl.Feet\\\"))}else if(r&&\\\"nautical\\\"===r.unit){Gi(e,n,s/1852,t._getUIString(\\\"ScaleControl.NauticalMiles\\\"))}else s>=1e3?Gi(e,n,s/1e3,t._getUIString(\\\"ScaleControl.Kilometers\\\")):Gi(e,n,s,t._getUIString(\\\"ScaleControl.Meters\\\"))}function Gi(t,e,r,n){var i,a,o,s=(i=r,a=Math.pow(10,(\\\"\\\"+Math.floor(i)).length-1),o=(o=i/a)>=10?10:o>=5?5:o>=3?3:o>=2?2:o>=1?1:function(t){var e=Math.pow(10,Math.ceil(-Math.log(t)/Math.LN10));return Math.round(t*e)/e}(o),a*o),l=s/r;t.style.width=e*l+\\\"px\\\",t.innerHTML=s+\\\"&nbsp;\\\"+n}qi.prototype.getDefaultPosition=function(){return\\\"bottom-left\\\"},qi.prototype._onMove=function(){Hi(this._map,this._container,this.options)},qi.prototype.onAdd=function(t){return this._map=t,this._container=r.create(\\\"div\\\",\\\"mapboxgl-ctrl mapboxgl-ctrl-scale\\\",t.getContainer()),this._map.on(\\\"move\\\",this._onMove),this._onMove(),this._container},qi.prototype.onRemove=function(){r.remove(this._container),this._map.off(\\\"move\\\",this._onMove),this._map=void 0},qi.prototype.setUnit=function(t){this.options.unit=t,Hi(this._map,this._container,this.options)};var Yi=function(e){this._fullscreen=!1,e&&e.container&&(e.container instanceof t.window.HTMLElement?this._container=e.container:t.warnOnce(\\\"Full screen control 'container' must be a DOM element.\\\")),t.bindAll([\\\"_onClickFullscreen\\\",\\\"_changeIcon\\\"],this),\\\"onfullscreenchange\\\"in t.window.document?this._fullscreenchange=\\\"fullscreenchange\\\":\\\"onmozfullscreenchange\\\"in t.window.document?this._fullscreenchange=\\\"mozfullscreenchange\\\":\\\"onwebkitfullscreenchange\\\"in t.window.document?this._fullscreenchange=\\\"webkitfullscreenchange\\\":\\\"onmsfullscreenchange\\\"in t.window.document&&(this._fullscreenchange=\\\"MSFullscreenChange\\\")};Yi.prototype.onAdd=function(e){return this._map=e,this._container||(this._container=this._map.getContainer()),this._controlContainer=r.create(\\\"div\\\",\\\"mapboxgl-ctrl mapboxgl-ctrl-group\\\"),this._checkFullscreenSupport()?this._setupUI():(this._controlContainer.style.display=\\\"none\\\",t.warnOnce(\\\"This device does not support fullscreen mode.\\\")),this._controlContainer},Yi.prototype.onRemove=function(){r.remove(this._controlContainer),this._map=null,t.window.document.removeEventListener(this._fullscreenchange,this._changeIcon)},Yi.prototype._checkFullscreenSupport=function(){return!!(t.window.document.fullscreenEnabled||t.window.document.mozFullScreenEnabled||t.window.document.msFullscreenEnabled||t.window.document.webkitFullscreenEnabled)},Yi.prototype._setupUI=function(){var e=this._fullscreenButton=r.create(\\\"button\\\",\\\"mapboxgl-ctrl-fullscreen\\\",this._controlContainer);r.create(\\\"span\\\",\\\"mapboxgl-ctrl-icon\\\",e).setAttribute(\\\"aria-hidden\\\",!0),e.type=\\\"button\\\",this._updateTitle(),this._fullscreenButton.addEventListener(\\\"click\\\",this._onClickFullscreen),t.window.document.addEventListener(this._fullscreenchange,this._changeIcon)},Yi.prototype._updateTitle=function(){var t=this._getTitle();this._fullscreenButton.setAttribute(\\\"aria-label\\\",t),this._fullscreenButton.title=t},Yi.prototype._getTitle=function(){return this._map._getUIString(this._isFullscreen()?\\\"FullscreenControl.Exit\\\":\\\"FullscreenControl.Enter\\\")},Yi.prototype._isFullscreen=function(){return this._fullscreen},Yi.prototype._changeIcon=function(){(t.window.document.fullscreenElement||t.window.document.mozFullScreenElement||t.window.document.webkitFullscreenElement||t.window.document.msFullscreenElement)===this._container!==this._fullscreen&&(this._fullscreen=!this._fullscreen,this._fullscreenButton.classList.toggle(\\\"mapboxgl-ctrl-shrink\\\"),this._fullscreenButton.classList.toggle(\\\"mapboxgl-ctrl-fullscreen\\\"),this._updateTitle())},Yi.prototype._onClickFullscreen=function(){this._isFullscreen()?t.window.document.exitFullscreen?t.window.document.exitFullscreen():t.window.document.mozCancelFullScreen?t.window.document.mozCancelFullScreen():t.window.document.msExitFullscreen?t.window.document.msExitFullscreen():t.window.document.webkitCancelFullScreen&&t.window.document.webkitCancelFullScreen():this._container.requestFullscreen?this._container.requestFullscreen():this._container.mozRequestFullScreen?this._container.mozRequestFullScreen():this._container.msRequestFullscreen?this._container.msRequestFullscreen():this._container.webkitRequestFullscreen&&this._container.webkitRequestFullscreen()};var Wi={closeButton:!0,closeOnClick:!0,className:\\\"\\\",maxWidth:\\\"240px\\\"},Xi=function(e){function n(r){e.call(this),this.options=t.extend(Object.create(Wi),r),t.bindAll([\\\"_update\\\",\\\"_onClose\\\",\\\"remove\\\",\\\"_onMouseMove\\\",\\\"_onMouseUp\\\",\\\"_onDrag\\\"],this)}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.addTo=function(e){return this._map&&this.remove(),this._map=e,this.options.closeOnClick&&this._map.on(\\\"click\\\",this._onClose),this.options.closeOnMove&&this._map.on(\\\"move\\\",this._onClose),this._map.on(\\\"remove\\\",this.remove),this._update(),this._trackPointer?(this._map.on(\\\"mousemove\\\",this._onMouseMove),this._map.on(\\\"mouseup\\\",this._onMouseUp),this._container&&this._container.classList.add(\\\"mapboxgl-popup-track-pointer\\\"),this._map._canvasContainer.classList.add(\\\"mapboxgl-track-pointer\\\")):this._map.on(\\\"move\\\",this._update),this.fire(new t.Event(\\\"open\\\")),this},n.prototype.isOpen=function(){return!!this._map},n.prototype.remove=function(){return this._content&&r.remove(this._content),this._container&&(r.remove(this._container),delete this._container),this._map&&(this._map.off(\\\"move\\\",this._update),this._map.off(\\\"move\\\",this._onClose),this._map.off(\\\"click\\\",this._onClose),this._map.off(\\\"remove\\\",this.remove),this._map.off(\\\"mousemove\\\",this._onMouseMove),this._map.off(\\\"mouseup\\\",this._onMouseUp),this._map.off(\\\"drag\\\",this._onDrag),delete this._map),this.fire(new t.Event(\\\"close\\\")),this},n.prototype.getLngLat=function(){return this._lngLat},n.prototype.setLngLat=function(e){return this._lngLat=t.LngLat.convert(e),this._pos=null,this._trackPointer=!1,this._update(),this._map&&(this._map.on(\\\"move\\\",this._update),this._map.off(\\\"mousemove\\\",this._onMouseMove),this._container&&this._container.classList.remove(\\\"mapboxgl-popup-track-pointer\\\"),this._map._canvasContainer.classList.remove(\\\"mapboxgl-track-pointer\\\")),this},n.prototype.trackPointer=function(){return this._trackPointer=!0,this._pos=null,this._update(),this._map&&(this._map.off(\\\"move\\\",this._update),this._map.on(\\\"mousemove\\\",this._onMouseMove),this._map.on(\\\"drag\\\",this._onDrag),this._container&&this._container.classList.add(\\\"mapboxgl-popup-track-pointer\\\"),this._map._canvasContainer.classList.add(\\\"mapboxgl-track-pointer\\\")),this},n.prototype.getElement=function(){return this._container},n.prototype.setText=function(e){return this.setDOMContent(t.window.document.createTextNode(e))},n.prototype.setHTML=function(e){var r,n=t.window.document.createDocumentFragment(),i=t.window.document.createElement(\\\"body\\\");for(i.innerHTML=e;r=i.firstChild;)n.appendChild(r);return this.setDOMContent(n)},n.prototype.getMaxWidth=function(){return this._container&&this._container.style.maxWidth},n.prototype.setMaxWidth=function(t){return this.options.maxWidth=t,this._update(),this},n.prototype.setDOMContent=function(t){return this._createContent(),this._content.appendChild(t),this._update(),this},n.prototype.addClassName=function(t){this._container&&this._container.classList.add(t)},n.prototype.removeClassName=function(t){this._container&&this._container.classList.remove(t)},n.prototype.toggleClassName=function(t){if(this._container)return this._container.classList.toggle(t)},n.prototype._createContent=function(){this._content&&r.remove(this._content),this._content=r.create(\\\"div\\\",\\\"mapboxgl-popup-content\\\",this._container),this.options.closeButton&&(this._closeButton=r.create(\\\"button\\\",\\\"mapboxgl-popup-close-button\\\",this._content),this._closeButton.type=\\\"button\\\",this._closeButton.setAttribute(\\\"aria-label\\\",\\\"Close popup\\\"),this._closeButton.innerHTML=\\\"&#215;\\\",this._closeButton.addEventListener(\\\"click\\\",this._onClose))},n.prototype._onMouseUp=function(t){this._update(t.point)},n.prototype._onMouseMove=function(t){this._update(t.point)},n.prototype._onDrag=function(t){this._update(t.point)},n.prototype._update=function(e){var n=this,i=this._lngLat||this._trackPointer;if(this._map&&i&&this._content&&(this._container||(this._container=r.create(\\\"div\\\",\\\"mapboxgl-popup\\\",this._map.getContainer()),this._tip=r.create(\\\"div\\\",\\\"mapboxgl-popup-tip\\\",this._container),this._container.appendChild(this._content),this.options.className&&this.options.className.split(\\\" \\\").forEach((function(t){return n._container.classList.add(t)})),this._trackPointer&&this._container.classList.add(\\\"mapboxgl-popup-track-pointer\\\")),this.options.maxWidth&&this._container.style.maxWidth!==this.options.maxWidth&&(this._container.style.maxWidth=this.options.maxWidth),this._map.transform.renderWorldCopies&&!this._trackPointer&&(this._lngLat=Oi(this._lngLat,this._pos,this._map.transform)),!this._trackPointer||e)){var a=this._pos=this._trackPointer&&e?e:this._map.project(this._lngLat),o=this.options.anchor,s=function e(r){if(r){if(\\\"number\\\"==typeof r){var n=Math.round(Math.sqrt(.5*Math.pow(r,2)));return{center:new t.Point(0,0),top:new t.Point(0,r),\\\"top-left\\\":new t.Point(n,n),\\\"top-right\\\":new t.Point(-n,n),bottom:new t.Point(0,-r),\\\"bottom-left\\\":new t.Point(n,-n),\\\"bottom-right\\\":new t.Point(-n,-n),left:new t.Point(r,0),right:new t.Point(-r,0)}}if(r instanceof t.Point||Array.isArray(r)){var i=t.Point.convert(r);return{center:i,top:i,\\\"top-left\\\":i,\\\"top-right\\\":i,bottom:i,\\\"bottom-left\\\":i,\\\"bottom-right\\\":i,left:i,right:i}}return{center:t.Point.convert(r.center||[0,0]),top:t.Point.convert(r.top||[0,0]),\\\"top-left\\\":t.Point.convert(r[\\\"top-left\\\"]||[0,0]),\\\"top-right\\\":t.Point.convert(r[\\\"top-right\\\"]||[0,0]),bottom:t.Point.convert(r.bottom||[0,0]),\\\"bottom-left\\\":t.Point.convert(r[\\\"bottom-left\\\"]||[0,0]),\\\"bottom-right\\\":t.Point.convert(r[\\\"bottom-right\\\"]||[0,0]),left:t.Point.convert(r.left||[0,0]),right:t.Point.convert(r.right||[0,0])}}return e(new t.Point(0,0))}(this.options.offset);if(!o){var l,c=this._container.offsetWidth,u=this._container.offsetHeight;l=a.y+s.bottom.y<u?[\\\"top\\\"]:a.y>this._map.transform.height-u?[\\\"bottom\\\"]:[],a.x<c/2?l.push(\\\"left\\\"):a.x>this._map.transform.width-c/2&&l.push(\\\"right\\\"),o=0===l.length?\\\"bottom\\\":l.join(\\\"-\\\")}var f=a.add(s[o]).round();r.setTransform(this._container,zi[o]+\\\" translate(\\\"+f.x+\\\"px,\\\"+f.y+\\\"px)\\\"),Di(this._container,o,\\\"popup\\\")}},n.prototype._onClose=function(){this.remove()},n}(t.Evented);var Zi={version:t.version,supported:e,setRTLTextPlugin:t.setRTLTextPlugin,getRTLTextPluginStatus:t.getRTLTextPluginStatus,Map:Ei,NavigationControl:Pi,GeolocateControl:Ui,AttributionControl:bi,ScaleControl:qi,FullscreenControl:Yi,Popup:Xi,Marker:Fi,Style:He,LngLat:t.LngLat,LngLatBounds:t.LngLatBounds,Point:t.Point,MercatorCoordinate:t.MercatorCoordinate,Evented:t.Evented,config:t.config,prewarm:function(){Bt().acquire(zt)},clearPrewarmedResources:function(){var t=Rt;t&&(t.isPreloaded()&&1===t.numActive()?(t.release(zt),Rt=null):console.warn(\\\"Could not clear WebWorkers since there are active Map instances that still reference it. The pre-warmed WebWorker pool can only be cleared when all map instances have been removed with map.remove()\\\"))},get accessToken(){return t.config.ACCESS_TOKEN},set accessToken(e){t.config.ACCESS_TOKEN=e},get baseApiUrl(){return t.config.API_URL},set baseApiUrl(e){t.config.API_URL=e},get workerCount(){return Dt.workerCount},set workerCount(t){Dt.workerCount=t},get maxParallelImageRequests(){return t.config.MAX_PARALLEL_IMAGE_REQUESTS},set maxParallelImageRequests(e){t.config.MAX_PARALLEL_IMAGE_REQUESTS=e},clearStorage:function(e){t.clearTileCache(e)},workerUrl:\\\"\\\"};return Zi})),r}))},{}],454:[function(t,e,r){\\\"use strict\\\";e.exports=function(t){for(var e=1<<t+1,r=new Array(e),n=0;n<e;++n)r[n]=a(t,n);return r};var n=t(\\\"convex-hull\\\");function i(t,e,r){for(var n=new Array(t),i=0;i<t;++i)n[i]=0,i===e&&(n[i]+=.5),i===r&&(n[i]+=.5);return n}function a(t,e){if(0===e||e===(1<<t+1)-1)return[];for(var r=[],a=[],o=0;o<=t;++o)if(e&1<<o){r.push(i(t,o-1,o-1)),a.push(null);for(var s=0;s<=t;++s)~e&1<<s&&(r.push(i(t,o-1,s-1)),a.push([o,s]))}var l=n(r),c=[];t:for(o=0;o<l.length;++o){var u=l[o],f=[];for(s=0;s<u.length;++s){if(!a[u[s]])continue t;f.push(a[u[s]].slice())}c.push(f)}return c}},{\\\"convex-hull\\\":137}],455:[function(t,e,r){var n=t(\\\"./normalize\\\"),i=t(\\\"gl-mat4/create\\\"),a=t(\\\"gl-mat4/clone\\\"),o=t(\\\"gl-mat4/determinant\\\"),s=t(\\\"gl-mat4/invert\\\"),l=t(\\\"gl-mat4/transpose\\\"),c={length:t(\\\"gl-vec3/length\\\"),normalize:t(\\\"gl-vec3/normalize\\\"),dot:t(\\\"gl-vec3/dot\\\"),cross:t(\\\"gl-vec3/cross\\\")},u=i(),f=i(),h=[0,0,0,0],p=[[0,0,0],[0,0,0],[0,0,0]],d=[0,0,0];function m(t,e,r,n,i){t[0]=e[0]*n+r[0]*i,t[1]=e[1]*n+r[1]*i,t[2]=e[2]*n+r[2]*i}e.exports=function(t,e,r,i,g,v){if(e||(e=[0,0,0]),r||(r=[0,0,0]),i||(i=[0,0,0]),g||(g=[0,0,0,1]),v||(v=[0,0,0,1]),!n(u,t))return!1;if(a(f,u),f[3]=0,f[7]=0,f[11]=0,f[15]=1,Math.abs(o(f)<1e-8))return!1;var y,x,b,_,w,T,k,M=u[3],A=u[7],S=u[11],E=u[12],L=u[13],C=u[14],P=u[15];if(0!==M||0!==A||0!==S){if(h[0]=M,h[1]=A,h[2]=S,h[3]=P,!s(f,f))return!1;l(f,f),y=g,b=f,_=(x=h)[0],w=x[1],T=x[2],k=x[3],y[0]=b[0]*_+b[4]*w+b[8]*T+b[12]*k,y[1]=b[1]*_+b[5]*w+b[9]*T+b[13]*k,y[2]=b[2]*_+b[6]*w+b[10]*T+b[14]*k,y[3]=b[3]*_+b[7]*w+b[11]*T+b[15]*k}else g[0]=g[1]=g[2]=0,g[3]=1;if(e[0]=E,e[1]=L,e[2]=C,function(t,e){t[0][0]=e[0],t[0][1]=e[1],t[0][2]=e[2],t[1][0]=e[4],t[1][1]=e[5],t[1][2]=e[6],t[2][0]=e[8],t[2][1]=e[9],t[2][2]=e[10]}(p,u),r[0]=c.length(p[0]),c.normalize(p[0],p[0]),i[0]=c.dot(p[0],p[1]),m(p[1],p[1],p[0],1,-i[0]),r[1]=c.length(p[1]),c.normalize(p[1],p[1]),i[0]/=r[1],i[1]=c.dot(p[0],p[2]),m(p[2],p[2],p[0],1,-i[1]),i[2]=c.dot(p[1],p[2]),m(p[2],p[2],p[1],1,-i[2]),r[2]=c.length(p[2]),c.normalize(p[2],p[2]),i[1]/=r[2],i[2]/=r[2],c.cross(d,p[1],p[2]),c.dot(p[0],d)<0)for(var I=0;I<3;I++)r[I]*=-1,p[I][0]*=-1,p[I][1]*=-1,p[I][2]*=-1;return v[0]=.5*Math.sqrt(Math.max(1+p[0][0]-p[1][1]-p[2][2],0)),v[1]=.5*Math.sqrt(Math.max(1-p[0][0]+p[1][1]-p[2][2],0)),v[2]=.5*Math.sqrt(Math.max(1-p[0][0]-p[1][1]+p[2][2],0)),v[3]=.5*Math.sqrt(Math.max(1+p[0][0]+p[1][1]+p[2][2],0)),p[2][1]>p[1][2]&&(v[0]=-v[0]),p[0][2]>p[2][0]&&(v[1]=-v[1]),p[1][0]>p[0][1]&&(v[2]=-v[2]),!0}},{\\\"./normalize\\\":456,\\\"gl-mat4/clone\\\":276,\\\"gl-mat4/create\\\":278,\\\"gl-mat4/determinant\\\":279,\\\"gl-mat4/invert\\\":291,\\\"gl-mat4/transpose\\\":304,\\\"gl-vec3/cross\\\":360,\\\"gl-vec3/dot\\\":365,\\\"gl-vec3/length\\\":375,\\\"gl-vec3/normalize\\\":382}],456:[function(t,e,r){e.exports=function(t,e){var r=e[15];if(0===r)return!1;for(var n=1/r,i=0;i<16;i++)t[i]=e[i]*n;return!0}},{}],457:[function(t,e,r){var n=t(\\\"gl-vec3/lerp\\\"),i=t(\\\"mat4-recompose\\\"),a=t(\\\"mat4-decompose\\\"),o=t(\\\"gl-mat4/determinant\\\"),s=t(\\\"quat-slerp\\\"),l=f(),c=f(),u=f();function f(){return{translate:h(),scale:h(1),skew:h(),perspective:[0,0,0,1],quaternion:[0,0,0,1]}}function h(t){return[t||0,t||0,t||0]}e.exports=function(t,e,r,f){if(0===o(e)||0===o(r))return!1;var h=a(e,l.translate,l.scale,l.skew,l.perspective,l.quaternion),p=a(r,c.translate,c.scale,c.skew,c.perspective,c.quaternion);return!(!h||!p)&&(n(u.translate,l.translate,c.translate,f),n(u.skew,l.skew,c.skew,f),n(u.scale,l.scale,c.scale,f),n(u.perspective,l.perspective,c.perspective,f),s(u.quaternion,l.quaternion,c.quaternion,f),i(t,u.translate,u.scale,u.skew,u.perspective,u.quaternion),!0)}},{\\\"gl-mat4/determinant\\\":279,\\\"gl-vec3/lerp\\\":376,\\\"mat4-decompose\\\":455,\\\"mat4-recompose\\\":458,\\\"quat-slerp\\\":521}],458:[function(t,e,r){var n={identity:t(\\\"gl-mat4/identity\\\"),translate:t(\\\"gl-mat4/translate\\\"),multiply:t(\\\"gl-mat4/multiply\\\"),create:t(\\\"gl-mat4/create\\\"),scale:t(\\\"gl-mat4/scale\\\"),fromRotationTranslation:t(\\\"gl-mat4/fromRotationTranslation\\\")},i=(n.create(),n.create());e.exports=function(t,e,r,a,o,s){return n.identity(t),n.fromRotationTranslation(t,s,e),t[3]=o[0],t[7]=o[1],t[11]=o[2],t[15]=o[3],n.identity(i),0!==a[2]&&(i[9]=a[2],n.multiply(t,t,i)),0!==a[1]&&(i[9]=0,i[8]=a[1],n.multiply(t,t,i)),0!==a[0]&&(i[8]=0,i[4]=a[0],n.multiply(t,t,i)),n.scale(t,t,r),t}},{\\\"gl-mat4/create\\\":278,\\\"gl-mat4/fromRotationTranslation\\\":282,\\\"gl-mat4/identity\\\":289,\\\"gl-mat4/multiply\\\":293,\\\"gl-mat4/scale\\\":301,\\\"gl-mat4/translate\\\":303}],459:[function(t,e,r){\\\"use strict\\\";e.exports=Math.log2||function(t){return Math.log(t)*Math.LOG2E}},{}],460:[function(t,e,r){\\\"use strict\\\";var n=t(\\\"binary-search-bounds\\\"),i=t(\\\"mat4-interpolate\\\"),a=t(\\\"gl-mat4/invert\\\"),o=t(\\\"gl-mat4/rotateX\\\"),s=t(\\\"gl-mat4/rotateY\\\"),l=t(\\\"gl-mat4/rotateZ\\\"),c=t(\\\"gl-mat4/lookAt\\\"),u=t(\\\"gl-mat4/translate\\\"),f=(t(\\\"gl-mat4/scale\\\"),t(\\\"gl-vec3/normalize\\\")),h=[0,0,0];function p(t){this._components=t.slice(),this._time=[0],this.prevMatrix=t.slice(),this.nextMatrix=t.slice(),this.computedMatrix=t.slice(),this.computedInverse=t.slice(),this.computedEye=[0,0,0],this.computedUp=[0,0,0],this.computedCenter=[0,0,0],this.computedRadius=[0],this._limits=[-1/0,1/0]}e.exports=function(t){return new p((t=t||{}).matrix||[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1])};var d=p.prototype;d.recalcMatrix=function(t){var e=this._time,r=n.le(e,t),o=this.computedMatrix;if(!(r<0)){var s=this._components;if(r===e.length-1)for(var l=16*r,c=0;c<16;++c)o[c]=s[l++];else{var u=e[r+1]-e[r],h=(l=16*r,this.prevMatrix),p=!0;for(c=0;c<16;++c)h[c]=s[l++];var d=this.nextMatrix;for(c=0;c<16;++c)d[c]=s[l++],p=p&&h[c]===d[c];if(u<1e-6||p)for(c=0;c<16;++c)o[c]=h[c];else i(o,h,d,(t-e[r])/u)}var m=this.computedUp;m[0]=o[1],m[1]=o[5],m[2]=o[9],f(m,m);var g=this.computedInverse;a(g,o);var v=this.computedEye,y=g[15];v[0]=g[12]/y,v[1]=g[13]/y,v[2]=g[14]/y;var x=this.computedCenter,b=Math.exp(this.computedRadius[0]);for(c=0;c<3;++c)x[c]=v[c]-o[2+4*c]*b}},d.idle=function(t){if(!(t<this.lastT())){for(var e=this._components,r=e.length-16,n=0;n<16;++n)e.push(e[r++]);this._time.push(t)}},d.flush=function(t){var e=n.gt(this._time,t)-2;e<0||(this._time.splice(0,e),this._components.splice(0,16*e))},d.lastT=function(){return this._time[this._time.length-1]},d.lookAt=function(t,e,r,n){this.recalcMatrix(t),e=e||this.computedEye,r=r||h,n=n||this.computedUp,this.setMatrix(t,c(this.computedMatrix,e,r,n));for(var i=0,a=0;a<3;++a)i+=Math.pow(r[a]-e[a],2);i=Math.log(Math.sqrt(i)),this.computedRadius[0]=i},d.rotate=function(t,e,r,n){this.recalcMatrix(t);var i=this.computedInverse;e&&s(i,i,e),r&&o(i,i,r),n&&l(i,i,n),this.setMatrix(t,a(this.computedMatrix,i))};var m=[0,0,0];d.pan=function(t,e,r,n){m[0]=-(e||0),m[1]=-(r||0),m[2]=-(n||0),this.recalcMatrix(t);var i=this.computedInverse;u(i,i,m),this.setMatrix(t,a(i,i))},d.translate=function(t,e,r,n){m[0]=e||0,m[1]=r||0,m[2]=n||0,this.recalcMatrix(t);var i=this.computedMatrix;u(i,i,m),this.setMatrix(t,i)},d.setMatrix=function(t,e){if(!(t<this.lastT())){this._time.push(t);for(var r=0;r<16;++r)this._components.push(e[r])}},d.setDistance=function(t,e){this.computedRadius[0]=e},d.setDistanceLimits=function(t,e){var r=this._limits;r[0]=t,r[1]=e},d.getDistanceLimits=function(t){var e=this._limits;return t?(t[0]=e[0],t[1]=e[1],t):e}},{\\\"binary-search-bounds\\\":99,\\\"gl-mat4/invert\\\":291,\\\"gl-mat4/lookAt\\\":292,\\\"gl-mat4/rotateX\\\":298,\\\"gl-mat4/rotateY\\\":299,\\\"gl-mat4/rotateZ\\\":300,\\\"gl-mat4/scale\\\":301,\\\"gl-mat4/translate\\\":303,\\\"gl-vec3/normalize\\\":382,\\\"mat4-interpolate\\\":457}],461:[function(t,e,r){\\\"use strict\\\";e.exports=function(t){var e=t.length;if(e<3){for(var r=new Array(e),i=0;i<e;++i)r[i]=i;return 2===e&&t[0][0]===t[1][0]&&t[0][1]===t[1][1]?[0]:r}var a=new Array(e);for(i=0;i<e;++i)a[i]=i;a.sort((function(e,r){var n=t[e][0]-t[r][0];return n||t[e][1]-t[r][1]}));var o=[a[0],a[1]],s=[a[0],a[1]];for(i=2;i<e;++i){for(var l=a[i],c=t[l],u=o.length;u>1&&n(t[o[u-2]],t[o[u-1]],c)<=0;)u-=1,o.pop();for(o.push(l),u=s.length;u>1&&n(t[s[u-2]],t[s[u-1]],c)>=0;)u-=1,s.pop();s.push(l)}r=new Array(s.length+o.length-2);for(var f=0,h=(i=0,o.length);i<h;++i)r[f++]=o[i];for(var p=s.length-2;p>0;--p)r[f++]=s[p];return r};var 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y.seg.otherFill=h.seg.myFill;r&&r.segmentUpdate(y.seg),h.other.remove(),h.remove()}if(a.getHead()!==h){r&&r.rewind(h.seg);continue}if(t)x=null===h.seg.myFill.below||h.seg.myFill.above!==h.seg.myFill.below,h.seg.myFill.below=m?m.seg.myFill.above:i,h.seg.myFill.above=x?!h.seg.myFill.below:h.seg.myFill.below;else if(null===h.seg.otherFill)v=m?h.primary===m.primary?m.seg.otherFill.above:m.seg.myFill.above:h.primary?o:i,h.seg.otherFill={above:v,below:v};r&&r.status(h.seg,!!d&&d.seg,!!m&&m.seg),h.other.status=p.insert(n.node({ev:h}))}else{var b=h.status;if(null===b)throw new Error(\\\"PolyBool: Zero-length segment detected; your epsilon is probably too small or too large\\\");if(s.exists(b.prev)&&s.exists(b.next)&&u(b.prev.ev,b.next.ev),r&&r.statusRemove(b.ev.seg),b.remove(),!h.primary){var _=h.seg.myFill;h.seg.myFill=h.seg.otherFill,h.seg.otherFill=_}f.push(h.seg)}a.getHead().remove()}return r&&r.done(),f}return t?{addRegion:function(t){for(var n,i,a,o=t[t.length-1],l=0;l<t.length;l++){n=o,o=t[l];var c=e.pointsCompare(n,o);0!==c&&s((i=c<0?n:o,a=c<0?o:n,{id:r?r.segmentId():-1,start:i,end:a,myFill:{above:null,below:null},otherFill:null}),!0)}},calculate:function(t){return c(t,!1)}}:{calculate:function(t,e,r,n){return t.forEach((function(t){s(i(t.start,t.end,t),!0)})),r.forEach((function(t){s(i(t.start,t.end,t),!1)})),c(e,n)}}}},{\\\"./linked-list\\\":501}],501:[function(t,e,r){e.exports={create:function(){var t={root:{root:!0,next:null},exists:function(e){return null!==e&&e!==t.root},isEmpty:function(){return null===t.root.next},getHead:function(){return t.root.next},insertBefore:function(e,r){for(var n=t.root,i=t.root.next;null!==i;){if(r(i))return e.prev=i.prev,e.next=i,i.prev.next=e,void(i.prev=e);n=i,i=i.next}n.next=e,e.prev=n,e.next=null},findTransition:function(e){for(var r=t.root,n=t.root.next;null!==n&&!e(n);)r=n,n=n.next;return{before:r===t.root?null:r,after:n,insert:function(t){return t.prev=r,t.next=n,r.next=t,null!==n&&(n.prev=t),t}}}};return t},node:function(t){return t.prev=null,t.next=null,t.remove=function(){t.prev.next=t.next,t.next&&(t.next.prev=t.prev),t.prev=null,t.next=null},t}}},{}],502:[function(t,e,r){e.exports=function(t,e,r){var n=[],i=[];return t.forEach((function(t){var a=t.start,o=t.end;if(e.pointsSame(a,o))console.warn(\\\"PolyBool: Warning: Zero-length segment detected; your epsilon is probably too small or too large\\\");else{r&&r.chainStart(t);for(var s={index:0,matches_head:!1,matches_pt1:!1},l={index:0,matches_head:!1,matches_pt1:!1},c=s,u=0;u<n.length;u++){var f=(g=n[u])[0],h=(g[1],g[g.length-1]);g[g.length-2];if(e.pointsSame(f,a)){if(k(u,!0,!0))break}else if(e.pointsSame(f,o)){if(k(u,!0,!1))break}else if(e.pointsSame(h,a)){if(k(u,!1,!0))break}else if(e.pointsSame(h,o)&&k(u,!1,!1))break}if(c===s)return n.push([a,o]),void(r&&r.chainNew(a,o));if(c===l){r&&r.chainMatch(s.index);var p=s.index,d=s.matches_pt1?o:a,m=s.matches_head,g=n[p],v=m?g[0]:g[g.length-1],y=m?g[1]:g[g.length-2],x=m?g[g.length-1]:g[0],b=m?g[g.length-2]:g[1];return e.pointsCollinear(y,v,d)&&(m?(r&&r.chainRemoveHead(s.index,d),g.shift()):(r&&r.chainRemoveTail(s.index,d),g.pop()),v=y),e.pointsSame(x,d)?(n.splice(p,1),e.pointsCollinear(b,x,v)&&(m?(r&&r.chainRemoveTail(s.index,v),g.pop()):(r&&r.chainRemoveHead(s.index,v),g.shift())),r&&r.chainClose(s.index),void i.push(g)):void(m?(r&&r.chainAddHead(s.index,d),g.unshift(d)):(r&&r.chainAddTail(s.index,d),g.push(d)))}var _=s.index,w=l.index;r&&r.chainConnect(_,w);var T=n[_].length<n[w].length;s.matches_head?l.matches_head?T?(M(_),A(_,w)):(M(w),A(w,_)):A(w,_):l.matches_head?A(_,w):T?(M(_),A(w,_)):(M(w),A(_,w))}function k(t,e,r){return c.index=t,c.matches_head=e,c.matches_pt1=r,c===s?(c=l,!1):(c=null,!0)}function M(t){r&&r.chainReverse(t),n[t].reverse()}function A(t,i){var a=n[t],o=n[i],s=a[a.length-1],l=a[a.length-2],c=o[0],u=o[1];e.pointsCollinear(l,s,c)&&(r&&r.chainRemoveTail(t,s),a.pop(),s=l),e.pointsCollinear(s,c,u)&&(r&&r.chainRemoveHead(i,c),o.shift()),r&&r.chainJoin(t,i),n[t]=a.concat(o),n.splice(i,1)}})),i}},{}],503:[function(t,e,r){function n(t,e,r){var n=[];return t.forEach((function(t){var i=(t.myFill.above?8:0)+(t.myFill.below?4:0)+(t.otherFill&&t.otherFill.above?2:0)+(t.otherFill&&t.otherFill.below?1:0);0!==e[i]&&n.push({id:r?r.segmentId():-1,start:t.start,end:t.end,myFill:{above:1===e[i],below:2===e[i]},otherFill:null})})),r&&r.selected(n),n}var i={union:function(t,e){return n(t,[0,2,1,0,2,2,0,0,1,0,1,0,0,0,0,0],e)},intersect:function(t,e){return n(t,[0,0,0,0,0,2,0,2,0,0,1,1,0,2,1,0],e)},difference:function(t,e){return n(t,[0,0,0,0,2,0,2,0,1,1,0,0,0,1,2,0],e)},differenceRev:function(t,e){return n(t,[0,2,1,0,0,0,1,1,0,2,0,2,0,0,0,0],e)},xor:function(t,e){return n(t,[0,2,1,0,2,0,0,1,1,0,0,2,0,1,2,0],e)}};e.exports=i},{}],504:[function(t,e,r){\\\"use strict\\\";var n=new Float64Array(4),i=new Float64Array(4),a=new Float64Array(4);e.exports=function(t,e,r,o,s){n.length<o.length&&(n=new Float64Array(o.length),i=new Float64Array(o.length),a=new Float64Array(o.length));for(var l=0;l<o.length;++l)n[l]=t[l]-o[l],i[l]=e[l]-t[l],a[l]=r[l]-t[l];var c=0,u=0,f=0,h=0,p=0,d=0;for(l=0;l<o.length;++l){var m=i[l],g=a[l],v=n[l];c+=m*m,u+=m*g,f+=g*g,h+=v*m,p+=v*g,d+=v*v}var y,x,b,_,w,T=Math.abs(c*f-u*u),k=u*p-f*h,M=u*h-c*p;if(k+M<=T)if(k<0)M<0&&h<0?(M=0,-h>=c?(k=1,y=c+2*h+d):y=h*(k=-h/c)+d):(k=0,p>=0?(M=0,y=d):-p>=f?(M=1,y=f+2*p+d):y=p*(M=-p/f)+d);else if(M<0)M=0,h>=0?(k=0,y=d):-h>=c?(k=1,y=c+2*h+d):y=h*(k=-h/c)+d;else{var A=1/T;y=(k*=A)*(c*k+u*(M*=A)+2*h)+M*(u*k+f*M+2*p)+d}else k<0?(b=f+p)>(x=u+h)?(_=b-x)>=(w=c-2*u+f)?(k=1,M=0,y=c+2*h+d):y=(k=_/w)*(c*k+u*(M=1-k)+2*h)+M*(u*k+f*M+2*p)+d:(k=0,b<=0?(M=1,y=f+2*p+d):p>=0?(M=0,y=d):y=p*(M=-p/f)+d):M<0?(b=c+h)>(x=u+p)?(_=b-x)>=(w=c-2*u+f)?(M=1,k=0,y=f+2*p+d):y=(k=1-(M=_/w))*(c*k+u*M+2*h)+M*(u*k+f*M+2*p)+d:(M=0,b<=0?(k=1,y=c+2*h+d):h>=0?(k=0,y=d):y=h*(k=-h/c)+d):(_=f+p-u-h)<=0?(k=0,M=1,y=f+2*p+d):_>=(w=c-2*u+f)?(k=1,M=0,y=c+2*h+d):y=(k=_/w)*(c*k+u*(M=1-k)+2*h)+M*(u*k+f*M+2*p)+d;var S=1-k-M;for(l=0;l<o.length;++l)s[l]=S*t[l]+k*e[l]+M*r[l];return y<0?0:y}},{}],505:[function(t,e,r){\\\"use strict\\\";var n=t(\\\"stream\\\").Transform,i=t(\\\"stream-parser\\\");function a(){n.call(this,{readableObjectMode:!0})}function o(t,e,r){Error.call(this),Error.captureStackTrace(this,this.constructor),this.name=this.constructor.name,this.message=t,e&&(this.code=e),r&&(this.statusCode=r)}a.prototype=Object.create(n.prototype),a.prototype.constructor=a,i(a.prototype),r.ParserStream=a,r.sliceEq=function(t,e,r){for(var n=e,i=0;i<r.length;)if(t[n++]!==r[i++])return!1;return!0},r.str2arr=function(t,e){var r=[],n=0;if(e&&\\\"hex\\\"===e)for(;n<t.length;)r.push(parseInt(t.slice(n,n+2),16)),n+=2;else for(;n<t.length;n++)r.push(255&t.charCodeAt(n));return r},r.readUInt16LE=function(t,e){return t[e]|t[e+1]<<8},r.readUInt16BE=function(t,e){return t[e+1]|t[e]<<8},r.readUInt32LE=function(t,e){return t[e]|t[e+1]<<8|t[e+2]<<16|16777216*t[e+3]},r.readUInt32BE=function(t,e){return t[e+3]|t[e+2]<<8|t[e+1]<<16|16777216*t[e]},o.prototype=Object.create(Error.prototype),o.prototype.constructor=o,r.ProbeError=o},{stream:561,\\\"stream-parser\\\":577}],506:[function(t,e,r){\\\"use strict\\\";function n(t,e){var r=new Error(t);return r.code=e,r}function i(t){try{return decodeURIComponent(escape(t))}catch(e){return t}}function a(t,e,r){this.input=t.subarray(e,r),this.start=e;var i=String.fromCharCode.apply(null,this.input.subarray(0,4));if(\\\"II*\\\\0\\\"!==i&&\\\"MM\\\\0*\\\"!==i)throw n(\\\"invalid TIFF signature\\\",\\\"EBADDATA\\\");this.big_endian=\\\"M\\\"===i[0]}a.prototype.each=function(t){this.aborted=!1;var e=this.read_uint32(4);for(this.ifds_to_read=[{id:0,offset:e}];this.ifds_to_read.length>0&&!this.aborted;){var r=this.ifds_to_read.shift();r.offset&&this.scan_ifd(r.id,r.offset,t)}},a.prototype.read_uint16=function(t){var e=this.input;if(t+2>e.length)throw n(\\\"unexpected EOF\\\",\\\"EBADDATA\\\");return this.big_endian?256*e[t]+e[t+1]:e[t]+256*e[t+1]},a.prototype.read_uint32=function(t){var e=this.input;if(t+4>e.length)throw n(\\\"unexpected EOF\\\",\\\"EBADDATA\\\");return this.big_endian?16777216*e[t]+65536*e[t+1]+256*e[t+2]+e[t+3]:e[t]+256*e[t+1]+65536*e[t+2]+16777216*e[t+3]},a.prototype.is_subifd_link=function(t,e){return 0===t&&34665===e||0===t&&34853===e||34665===t&&40965===e},a.prototype.exif_format_length=function(t){switch(t){case 1:case 2:case 6:case 7:return 1;case 3:case 8:return 2;case 4:case 9:case 11:return 4;case 5:case 10:case 12:return 8;default:return 0}},a.prototype.exif_format_read=function(t,e){var r;switch(t){case 1:case 2:return r=this.input[e];case 6:return(r=this.input[e])|33554430*(128&r);case 3:return r=this.read_uint16(e);case 8:return(r=this.read_uint16(e))|131070*(32768&r);case 4:return r=this.read_uint32(e);case 9:return 0|(r=this.read_uint32(e));case 5:case 10:case 11:case 12:case 7:default:return null}},a.prototype.scan_ifd=function(t,e,r){var a=this.read_uint16(e);e+=2;for(var o=0;o<a;o++){var s=this.read_uint16(e),l=this.read_uint16(e+2),c=this.read_uint32(e+4),u=this.exif_format_length(l),f=c*u,h=f<=4?e+8:this.read_uint32(e+8),p=!1;if(h+f>this.input.length)throw n(\\\"unexpected EOF\\\",\\\"EBADDATA\\\");for(var d=[],m=h,g=0;g<c;g++,m+=u){var v=this.exif_format_read(l,m);if(null===v){d=null;break}d.push(v)}if(Array.isArray(d)&&2===l&&(d=i(String.fromCharCode.apply(null,d)))&&\\\"\\\\0\\\"===d[d.length-1]&&(d=d.slice(0,-1)),this.is_subifd_link(t,s)&&Array.isArray(d)&&Number.isInteger(d[0])&&d[0]>0&&(this.ifds_to_read.push({id:s,offset:d[0]}),p=!0),!1===r({is_big_endian:this.big_endian,ifd:t,tag:s,format:l,count:c,entry_offset:e+this.start,data_length:f,data_offset:h+this.start,value:d,is_subifd_link:p}))return void(this.aborted=!0);e+=12}0===t&&this.ifds_to_read.push({id:1,offset:this.read_uint32(e)})},e.exports.ExifParser=a,e.exports.get_orientation=function(t){var e=0;try{return new a(t,0,t.length).each((function(t){if(0===t.ifd&&274===t.tag&&Array.isArray(t.value))return e=t.value[0],!1})),e}catch(t){return-1}}},{}],507:[function(t,e,r){\\\"use strict\\\";var n=t(\\\"./common\\\").readUInt16BE,i=t(\\\"./common\\\").readUInt32BE;function a(t,e){if(t.length<4+e)return null;var r=i(t,e);return t.length<r+e||r<8?null:{boxtype:String.fromCharCode.apply(null,t.slice(e+4,e+8)),data:t.slice(e+8,e+r),end:e+r}}function o(t,e){for(var r=0;;){var n=a(t,r);if(!n)break;switch(n.boxtype){case\\\"ispe\\\":e.sizes.push({width:i(n.data,4),height:i(n.data,8)});break;case\\\"irot\\\":e.transforms.push({type:\\\"irot\\\",value:3&n.data[0]});break;case\\\"imir\\\":e.transforms.push({type:\\\"imir\\\",value:1&n.data[0]})}r=n.end}}function s(t,e,r){for(var n=0,i=0;i<r;i++)n=256*n+(t[e+i]||0);return n}function l(t,e){for(var r=t[4]>>4&15,i=15&t[4],a=t[5]>>4&15,o=n(t,6),l=8,c=0;c<o;c++){var u=n(t,l),f=n(t,l+=2),h=s(t,l+=2,a),p=n(t,l+=a);if(l+=2,0===f&&1===p){var d=s(t,l,r),m=s(t,l+r,i);e.item_loc[u]={length:m,offset:d+h}}l+=p*(r+i)}}function c(t,e){for(var r=n(t,4),i=6,o=0;o<r;o++){var s=a(t,i);if(!s)break;if(\\\"infe\\\"===s.boxtype){for(var l=n(s.data,4),c=\\\"\\\",u=8;u<s.data.length&&s.data[u];u++)c+=String.fromCharCode(s.data[u]);e.item_inf[c]=l}i=s.end}}function u(t,e){for(var r=0;;){var n=a(t,r);if(!n)break;\\\"ipco\\\"===n.boxtype&&o(n.data,e),r=n.end}}e.exports.unbox=a,e.exports.readSizeFromMeta=function(t){var e={sizes:[],transforms:[],item_inf:{},item_loc:{}};if(function(t,e){for(var r=4;;){var n=a(t,r);if(!n)break;\\\"iprp\\\"===n.boxtype&&u(n.data,e),\\\"iloc\\\"===n.boxtype&&l(n.data,e),\\\"iinf\\\"===n.boxtype&&c(n.data,e),r=n.end}}(t,e),e.sizes.length){var r,n,i,o=(r=e.sizes,n=r.reduce((function(t,e){return t.width>e.width||t.width===e.width&&t.height>e.height?t:e})),i=r.reduce((function(t,e){return t.height>e.height||t.height===e.height&&t.width>e.width?t:e})),n.width>i.height||n.width===i.height&&n.height>i.width?n:i),s=1;e.transforms.forEach((function(t){var e={1:6,2:5,3:8,4:7,5:4,6:3,7:2,8:1},r={1:4,2:3,3:2,4:1,5:6,6:5,7:8,8:7};if(\\\"imir\\\"===t.type&&(s=0===t.value?r[s]:e[s=e[s=r[s]]]),\\\"irot\\\"===t.type)for(var n=0;n<t.value;n++)s=e[s]}));var f=null;return e.item_inf.Exif&&(f=e.item_loc[e.item_inf.Exif]),{width:o.width,height:o.height,orientation:e.transforms.length?s:null,variants:e.sizes,exif_location:f}}},e.exports.getMimeType=function(t){var e=String.fromCharCode.apply(null,t.slice(0,4)),r={};r[e]=!0;for(var n=8;n<t.length;n+=4)r[String.fromCharCode.apply(null,t.slice(n,n+4))]=!0;if(r.mif1||r.msf1||r.miaf)return\\\"avif\\\"===e||\\\"avis\\\"===e||\\\"avio\\\"===e?{type:\\\"avif\\\",mime:\\\"image/avif\\\"}:\\\"heic\\\"===e||\\\"heix\\\"===e?{type:\\\"heic\\\",mime:\\\"image/heic\\\"}:\\\"hevc\\\"===e||\\\"hevx\\\"===e?{type:\\\"heic\\\",mime:\\\"image/heic-sequence\\\"}:r.avif||r.avis?{type:\\\"avif\\\",mime:\\\"image/avif\\\"}:r.heic||r.heix||r.hevc||r.hevx||r.heis?r.msf1?{type:\\\"heif\\\",mime:\\\"image/heif-sequence\\\"}:{type:\\\"heif\\\",mime:\\\"image/heif\\\"}:{type:\\\"avif\\\",mime:\\\"image/avif\\\"}}},{\\\"./common\\\":505}],508:[function(t,e,r){\\\"use strict\\\";var n=t(\\\"../common\\\").str2arr,i=t(\\\"../common\\\").sliceEq,a=t(\\\"../common\\\").readUInt32BE,o=t(\\\"../miaf_utils\\\"),s=t(\\\"../exif_utils\\\"),l=n(\\\"ftyp\\\");e.exports=function(t){if(i(t,4,l)){var e=o.unbox(t,0);if(e){var r=o.getMimeType(e.data);if(r){for(var n,c=e.end;;){var u=o.unbox(t,c);if(!u)break;if(c=u.end,\\\"mdat\\\"===u.boxtype)return;if(\\\"meta\\\"===u.boxtype){n=u.data;break}}if(n){var f=o.readSizeFromMeta(n);if(f){var h={width:f.width,height:f.height,type:r.type,mime:r.mime,wUnits:\\\"px\\\",hUnits:\\\"px\\\"};if(f.variants.length>1&&(h.variants=f.variants),f.orientation&&(h.orientation=f.orientation),f.exif_location&&f.exif_location.offset+f.exif_location.length<=t.length){var p=a(t,f.exif_location.offset),d=t.slice(f.exif_location.offset+p+4,f.exif_location.offset+f.exif_location.length),m=s.get_orientation(d);m>0&&(h.orientation=m)}return h}}}}}}},{\\\"../common\\\":505,\\\"../exif_utils\\\":506,\\\"../miaf_utils\\\":507}],509:[function(t,e,r){\\\"use 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l=t[6+16*s]||256,c=t[6+16*s+1]||256,u={width:l,height:c};a.push(u),(l>o.width||c>o.height)&&(o=u)}return{width:o.width,height:o.height,variants:a,type:\\\"ico\\\",mime:\\\"image/x-icon\\\",wUnits:\\\"px\\\",hUnits:\\\"px\\\"}}}},{\\\"../common\\\":505}],512:[function(t,e,r){\\\"use strict\\\";var n=t(\\\"../common\\\").readUInt16BE,i=t(\\\"../common\\\").str2arr,a=t(\\\"../common\\\").sliceEq,o=t(\\\"../exif_utils\\\"),s=i(\\\"Exif\\\\0\\\\0\\\");e.exports=function(t){if(!(t.length<2)&&255===t[0]&&216===t[1])for(var e=2;;){if(t.length-e<2)return;if(255!==t[e++])return;for(var r,i,l=t[e++];255===l;)l=t[e++];if(208<=l&&l<=217||1===l)r=0;else{if(!(192<=l&&l<=254))return;if(t.length-e<2)return;r=n(t,e)-2,e+=2}if(217===l||218===l)return;if(225===l&&r>=10&&a(t,e,s)&&(i=o.get_orientation(t.slice(e+6,e+r))),r>=5&&192<=l&&l<=207&&196!==l&&200!==l&&204!==l){if(t.length-e<r)return;var 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h=x.reduce((function(t,e,r){return t+(e?e.count:0)}),0),g=new Float64Array(2*h),_=new Uint8Array(4*h),w=new Float32Array(4*h);x.forEach((function(t,e){if(t){var r=t.positions,n=t.count,i=t.offset,a=t.color,o=t.errors;n&&(_.set(a,4*i),w.set(o,4*i),g.set(r,2*i))}})),c(u(g)),p(f(g)),d(_),m(w)}}}function k(){c.destroy(),p.destroy(),d.destroy(),m.destroy(),g.destroy()}};var h=[[1,0,0,1,0,0],[1,0,0,-1,0,0],[-1,0,0,-1,0,0],[-1,0,0,-1,0,0],[-1,0,0,1,0,0],[1,0,0,1,0,0],[1,0,-1,0,0,1],[1,0,-1,0,0,-1],[1,0,1,0,0,-1],[1,0,1,0,0,-1],[1,0,1,0,0,1],[1,0,-1,0,0,1],[-1,0,-1,0,0,1],[-1,0,-1,0,0,-1],[-1,0,1,0,0,-1],[-1,0,1,0,0,-1],[-1,0,1,0,0,1],[-1,0,-1,0,0,1],[0,1,1,0,0,0],[0,1,-1,0,0,0],[0,-1,-1,0,0,0],[0,-1,-1,0,0,0],[0,1,1,0,0,0],[0,-1,1,0,0,0],[0,1,0,-1,1,0],[0,1,0,-1,-1,0],[0,1,0,1,-1,0],[0,1,0,1,1,0],[0,1,0,-1,1,0],[0,1,0,1,-1,0],[0,-1,0,-1,1,0],[0,-1,0,-1,-1,0],[0,-1,0,1,-1,0],[0,-1,0,1,1,0],[0,-1,0,-1,1,0],[0,-1,0,1,-1,0]]},{\\\"array-bounds\\\":72,\\\"color-normalize\\\":127,\\\"flatten-vertex-data\\\":244,\\\"object-assign\\\":479,\\\"pick-by-alias\\\":490,\\\"to-float32\\\":591,\\\"update-diff\\\":613}],529:[function(t,e,r){\\\"use strict\\\";var n=t(\\\"color-normalize\\\"),i=t(\\\"array-bounds\\\"),a=t(\\\"object-assign\\\"),o=t(\\\"glslify\\\"),s=t(\\\"pick-by-alias\\\"),l=t(\\\"flatten-vertex-data\\\"),c=t(\\\"earcut\\\"),u=t(\\\"array-normalize\\\"),f=t(\\\"to-float32\\\"),h=f.float32,p=f.fract32,d=t(\\\"es6-weak-map\\\"),m=t(\\\"parse-rect\\\"),g=t(\\\"array-find-index\\\");function v(t,e){if(!(this instanceof v))return new v(t,e);if(\\\"function\\\"==typeof t?(e||(e={}),e.regl=t):e=t,e.length&&(e.positions=e),!(t=e.regl).hasExtension(\\\"ANGLE_instanced_arrays\\\"))throw Error(\\\"regl-error2d: `ANGLE_instanced_arrays` extension should be enabled\\\");this.gl=t._gl,this.regl=t,this.passes=[],this.shaders=v.shaders.has(t)?v.shaders.get(t):v.shaders.set(t,v.createShaders(t)).get(t),this.update(e)}e.exports=v,v.dashMult=2,v.maxPatternLength=256,v.precisionThreshold=3e6,v.maxPoints=1e4,v.maxLines=2048,v.shaders=new d,v.createShaders=function(t){var e,r=t.buffer({usage:\\\"static\\\",type:\\\"float\\\",data:[0,1,0,0,1,1,1,0]}),n={primitive:\\\"triangle strip\\\",instances:t.prop(\\\"count\\\"),count:4,offset:0,uniforms:{miterMode:function(t,e){return\\\"round\\\"===e.join?2:1},miterLimit:t.prop(\\\"miterLimit\\\"),scale:t.prop(\\\"scale\\\"),scaleFract:t.prop(\\\"scaleFract\\\"),translateFract:t.prop(\\\"translateFract\\\"),translate:t.prop(\\\"translate\\\"),thickness:t.prop(\\\"thickness\\\"),dashPattern:t.prop(\\\"dashTexture\\\"),opacity:t.prop(\\\"opacity\\\"),pixelRatio:t.context(\\\"pixelRatio\\\"),id:t.prop(\\\"id\\\"),dashSize:t.prop(\\\"dashLength\\\"),viewport:function(t,e){return[e.viewport.x,e.viewport.y,t.viewportWidth,t.viewportHeight]},depth:t.prop(\\\"depth\\\")},blend:{enable:!0,color:[0,0,0,0],equation:{rgb:\\\"add\\\",alpha:\\\"add\\\"},func:{srcRGB:\\\"src alpha\\\",dstRGB:\\\"one minus src alpha\\\",srcAlpha:\\\"one minus dst alpha\\\",dstAlpha:\\\"one\\\"}},depth:{enable:function(t,e){return!e.overlay}},stencil:{enable:!1},scissor:{enable:!0,box:t.prop(\\\"viewport\\\")},viewport:t.prop(\\\"viewport\\\")},i=t(a({vert:o([\\\"precision highp float;\\\\n#define GLSLIFY 1\\\\n\\\\nattribute vec2 aCoord, bCoord, aCoordFract, bCoordFract;\\\\nattribute vec4 color;\\\\nattribute float lineEnd, lineTop;\\\\n\\\\nuniform vec2 scale, scaleFract, translate, translateFract;\\\\nuniform float thickness, pixelRatio, id, depth;\\\\nuniform vec4 viewport;\\\\n\\\\nvarying vec4 fragColor;\\\\nvarying vec2 tangent;\\\\n\\\\nvec2 project(vec2 position, vec2 positionFract, vec2 scale, vec2 scaleFract, vec2 translate, vec2 translateFract) {\\\\n\\\\t// the order is important\\\\n\\\\treturn position * scale + translate\\\\n       + positionFract * scale + translateFract\\\\n       + position * scaleFract\\\\n       + positionFract * scaleFract;\\\\n}\\\\n\\\\nvoid main() {\\\\n\\\\tfloat lineStart = 1. - lineEnd;\\\\n\\\\tfloat lineOffset = lineTop * 2. - 1.;\\\\n\\\\n\\\\tvec2 diff = (bCoord + bCoordFract - aCoord - aCoordFract);\\\\n\\\\ttangent = normalize(diff * scale * viewport.zw);\\\\n\\\\tvec2 normal = vec2(-tangent.y, tangent.x);\\\\n\\\\n\\\\tvec2 position = project(aCoord, aCoordFract, scale, scaleFract, translate, translateFract) * lineStart\\\\n\\\\t\\\\t+ project(bCoord, bCoordFract, scale, scaleFract, translate, translateFract) * lineEnd\\\\n\\\\n\\\\t\\\\t+ thickness * normal * .5 * lineOffset / viewport.zw;\\\\n\\\\n\\\\tgl_Position = vec4(position * 2.0 - 1.0, depth, 1);\\\\n\\\\n\\\\tfragColor = color / 255.;\\\\n}\\\\n\\\"]),frag:o([\\\"precision highp float;\\\\n#define GLSLIFY 1\\\\n\\\\nuniform sampler2D dashPattern;\\\\n\\\\nuniform float dashSize, pixelRatio, thickness, opacity, id;\\\\n\\\\nvarying vec4 fragColor;\\\\nvarying vec2 tangent;\\\\n\\\\nvoid main() {\\\\n\\\\tfloat alpha = 1.;\\\\n\\\\n\\\\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashSize) * .5 + .25;\\\\n\\\\tfloat dash = texture2D(dashPattern, vec2(t, .5)).r;\\\\n\\\\n\\\\tgl_FragColor = fragColor;\\\\n\\\\tgl_FragColor.a *= alpha * opacity * dash;\\\\n}\\\\n\\\"]),attributes:{lineEnd:{buffer:r,divisor:0,stride:8,offset:0},lineTop:{buffer:r,divisor:0,stride:8,offset:4},aCoord:{buffer:t.prop(\\\"positionBuffer\\\"),stride:8,offset:8,divisor:1},bCoord:{buffer:t.prop(\\\"positionBuffer\\\"),stride:8,offset:16,divisor:1},aCoordFract:{buffer:t.prop(\\\"positionFractBuffer\\\"),stride:8,offset:8,divisor:1},bCoordFract:{buffer:t.prop(\\\"positionFractBuffer\\\"),stride:8,offset:16,divisor:1},color:{buffer:t.prop(\\\"colorBuffer\\\"),stride:4,offset:0,divisor:1}}},n));try{e=t(a({cull:{enable:!0,face:\\\"back\\\"},vert:o([\\\"precision highp float;\\\\n#define GLSLIFY 1\\\\n\\\\nattribute vec2 aCoord, bCoord, nextCoord, prevCoord;\\\\nattribute vec4 aColor, bColor;\\\\nattribute float lineEnd, lineTop;\\\\n\\\\nuniform vec2 scale, translate;\\\\nuniform float thickness, pixelRatio, id, depth;\\\\nuniform vec4 viewport;\\\\nuniform float miterLimit, miterMode;\\\\n\\\\nvarying vec4 fragColor;\\\\nvarying vec4 startCutoff, endCutoff;\\\\nvarying vec2 tangent;\\\\nvarying vec2 startCoord, endCoord;\\\\nvarying float enableStartMiter, enableEndMiter;\\\\n\\\\nconst float REVERSE_THRESHOLD = -.875;\\\\nconst float MIN_DIFF = 1e-6;\\\\n\\\\n// TODO: possible optimizations: avoid overcalculating all for vertices and calc just one instead\\\\n// TODO: precalculate dot products, normalize things beforehead etc.\\\\n// TODO: refactor to rectangular algorithm\\\\n\\\\nfloat distToLine(vec2 p, vec2 a, vec2 b) {\\\\n\\\\tvec2 diff = b - a;\\\\n\\\\tvec2 perp = normalize(vec2(-diff.y, diff.x));\\\\n\\\\treturn dot(p - a, perp);\\\\n}\\\\n\\\\nbool isNaN( float val ){\\\\n  return ( val < 0.0 || 0.0 < val || val == 0.0 ) ? false : true;\\\\n}\\\\n\\\\nvoid main() {\\\\n\\\\tvec2 aCoord = aCoord, bCoord = bCoord, prevCoord = prevCoord, nextCoord = nextCoord;\\\\n\\\\n  vec2 adjustedScale;\\\\n  adjustedScale.x = (abs(scale.x) < MIN_DIFF) ? MIN_DIFF : scale.x;\\\\n  adjustedScale.y = (abs(scale.y) < MIN_DIFF) ? MIN_DIFF : scale.y;\\\\n\\\\n  vec2 scaleRatio = adjustedScale * viewport.zw;\\\\n\\\\tvec2 normalWidth = thickness / scaleRatio;\\\\n\\\\n\\\\tfloat lineStart = 1. - lineEnd;\\\\n\\\\tfloat lineBot = 1. - lineTop;\\\\n\\\\n\\\\tfragColor = (lineStart * aColor + lineEnd * bColor) / 255.;\\\\n\\\\n\\\\tif (isNaN(aCoord.x) || isNaN(aCoord.y) || isNaN(bCoord.x) || isNaN(bCoord.y)) return;\\\\n\\\\n\\\\tif (aCoord == prevCoord) prevCoord = aCoord + normalize(bCoord - aCoord);\\\\n\\\\tif (bCoord == nextCoord) nextCoord = bCoord - normalize(bCoord - aCoord);\\\\n\\\\n\\\\tvec2 prevDiff = aCoord - prevCoord;\\\\n\\\\tvec2 currDiff = bCoord - aCoord;\\\\n\\\\tvec2 nextDiff = nextCoord - bCoord;\\\\n\\\\n\\\\tvec2 prevTangent = normalize(prevDiff * scaleRatio);\\\\n\\\\tvec2 currTangent = normalize(currDiff * scaleRatio);\\\\n\\\\tvec2 nextTangent = normalize(nextDiff * scaleRatio);\\\\n\\\\n\\\\tvec2 prevNormal = vec2(-prevTangent.y, prevTangent.x);\\\\n\\\\tvec2 currNormal = vec2(-currTangent.y, currTangent.x);\\\\n\\\\tvec2 nextNormal = vec2(-nextTangent.y, nextTangent.x);\\\\n\\\\n\\\\tvec2 startJoinDirection = normalize(prevTangent - currTangent);\\\\n\\\\tvec2 endJoinDirection = normalize(currTangent - nextTangent);\\\\n\\\\n\\\\t// collapsed/unidirectional segment cases\\\\n\\\\t// FIXME: there should be more elegant solution\\\\n\\\\tvec2 prevTanDiff = abs(prevTangent - currTangent);\\\\n\\\\tvec2 nextTanDiff = abs(nextTangent - currTangent);\\\\n\\\\tif (max(prevTanDiff.x, prevTanDiff.y) < MIN_DIFF) {\\\\n\\\\t\\\\tstartJoinDirection = currNormal;\\\\n\\\\t}\\\\n\\\\tif (max(nextTanDiff.x, nextTanDiff.y) < MIN_DIFF) {\\\\n\\\\t\\\\tendJoinDirection = currNormal;\\\\n\\\\t}\\\\n\\\\tif (aCoord == bCoord) {\\\\n\\\\t\\\\tendJoinDirection = startJoinDirection;\\\\n\\\\t\\\\tcurrNormal = prevNormal;\\\\n\\\\t\\\\tcurrTangent = prevTangent;\\\\n\\\\t}\\\\n\\\\n\\\\ttangent = currTangent;\\\\n\\\\n\\\\t//calculate join shifts relative to normals\\\\n\\\\tfloat startJoinShift = dot(currNormal, startJoinDirection);\\\\n\\\\tfloat endJoinShift = dot(currNormal, endJoinDirection);\\\\n\\\\n\\\\tfloat startMiterRatio = abs(1. / startJoinShift);\\\\n\\\\tfloat endMiterRatio = abs(1. / endJoinShift);\\\\n\\\\n\\\\tvec2 startJoin = startJoinDirection * startMiterRatio;\\\\n\\\\tvec2 endJoin = endJoinDirection * endMiterRatio;\\\\n\\\\n\\\\tvec2 startTopJoin, startBotJoin, endTopJoin, endBotJoin;\\\\n\\\\tstartTopJoin = sign(startJoinShift) * startJoin * .5;\\\\n\\\\tstartBotJoin = -startTopJoin;\\\\n\\\\n\\\\tendTopJoin = sign(endJoinShift) * endJoin * .5;\\\\n\\\\tendBotJoin = -endTopJoin;\\\\n\\\\n\\\\tvec2 aTopCoord = aCoord + normalWidth * startTopJoin;\\\\n\\\\tvec2 bTopCoord = bCoord + normalWidth * endTopJoin;\\\\n\\\\tvec2 aBotCoord = aCoord + normalWidth * startBotJoin;\\\\n\\\\tvec2 bBotCoord = bCoord + normalWidth * endBotJoin;\\\\n\\\\n\\\\t//miter anti-clipping\\\\n\\\\tfloat baClipping = distToLine(bCoord, aCoord, aBotCoord) / dot(normalize(normalWidth * endBotJoin), normalize(normalWidth.yx * vec2(-startBotJoin.y, startBotJoin.x)));\\\\n\\\\tfloat abClipping = distToLine(aCoord, bCoord, bTopCoord) / dot(normalize(normalWidth * startBotJoin), normalize(normalWidth.yx * vec2(-endBotJoin.y, endBotJoin.x)));\\\\n\\\\n\\\\t//prevent close to reverse direction switch\\\\n\\\\tbool prevReverse = dot(currTangent, prevTangent) <= REVERSE_THRESHOLD && abs(dot(currTangent, prevNormal)) * min(length(prevDiff), length(currDiff)) <  length(normalWidth * currNormal);\\\\n\\\\tbool nextReverse = dot(currTangent, nextTangent) <= REVERSE_THRESHOLD && abs(dot(currTangent, nextNormal)) * min(length(nextDiff), length(currDiff)) <  length(normalWidth * currNormal);\\\\n\\\\n\\\\tif (prevReverse) {\\\\n\\\\t\\\\t//make join rectangular\\\\n\\\\t\\\\tvec2 miterShift = normalWidth * startJoinDirection * miterLimit * .5;\\\\n\\\\t\\\\tfloat normalAdjust = 1. - min(miterLimit / startMiterRatio, 1.);\\\\n\\\\t\\\\taBotCoord = aCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\\\\n\\\\t\\\\taTopCoord = aCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\\\\n\\\\t}\\\\n\\\\telse if (!nextReverse && baClipping > 0. && baClipping < length(normalWidth * endBotJoin)) {\\\\n\\\\t\\\\t//handle miter clipping\\\\n\\\\t\\\\tbTopCoord -= normalWidth * endTopJoin;\\\\n\\\\t\\\\tbTopCoord += normalize(endTopJoin * normalWidth) * baClipping;\\\\n\\\\t}\\\\n\\\\n\\\\tif (nextReverse) {\\\\n\\\\t\\\\t//make join rectangular\\\\n\\\\t\\\\tvec2 miterShift = normalWidth * endJoinDirection * miterLimit * .5;\\\\n\\\\t\\\\tfloat normalAdjust = 1. - min(miterLimit / endMiterRatio, 1.);\\\\n\\\\t\\\\tbBotCoord = bCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\\\\n\\\\t\\\\tbTopCoord = bCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\\\\n\\\\t}\\\\n\\\\telse if (!prevReverse && abClipping > 0. && abClipping < length(normalWidth * startBotJoin)) {\\\\n\\\\t\\\\t//handle miter clipping\\\\n\\\\t\\\\taBotCoord -= normalWidth * startBotJoin;\\\\n\\\\t\\\\taBotCoord += normalize(startBotJoin * normalWidth) * abClipping;\\\\n\\\\t}\\\\n\\\\n\\\\tvec2 aTopPosition = (aTopCoord) * adjustedScale + translate;\\\\n\\\\tvec2 aBotPosition = (aBotCoord) * adjustedScale + translate;\\\\n\\\\n\\\\tvec2 bTopPosition = (bTopCoord) * adjustedScale + translate;\\\\n\\\\tvec2 bBotPosition = (bBotCoord) * adjustedScale + translate;\\\\n\\\\n\\\\t//position is normalized 0..1 coord on the screen\\\\n\\\\tvec2 position = (aTopPosition * lineTop + aBotPosition * lineBot) * lineStart + (bTopPosition * lineTop + bBotPosition * lineBot) * lineEnd;\\\\n\\\\n\\\\tstartCoord = aCoord * scaleRatio + translate * viewport.zw + viewport.xy;\\\\n\\\\tendCoord = bCoord * scaleRatio + translate * viewport.zw + viewport.xy;\\\\n\\\\n\\\\tgl_Position = vec4(position  * 2.0 - 1.0, depth, 1);\\\\n\\\\n\\\\tenableStartMiter = step(dot(currTangent, prevTangent), .5);\\\\n\\\\tenableEndMiter = step(dot(currTangent, nextTangent), .5);\\\\n\\\\n\\\\t//bevel miter cutoffs\\\\n\\\\tif (miterMode == 1.) {\\\\n\\\\t\\\\tif (enableStartMiter == 1.) {\\\\n\\\\t\\\\t\\\\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * miterLimit * .5;\\\\n\\\\t\\\\t\\\\tstartCutoff = vec4(aCoord, aCoord);\\\\n\\\\t\\\\t\\\\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\\\\n\\\\t\\\\t\\\\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\\\n\\\\t\\\\t\\\\tstartCutoff += viewport.xyxy;\\\\n\\\\t\\\\t\\\\tstartCutoff += startMiterWidth.xyxy;\\\\n\\\\t\\\\t}\\\\n\\\\n\\\\t\\\\tif (enableEndMiter == 1.) {\\\\n\\\\t\\\\t\\\\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * miterLimit * .5;\\\\n\\\\t\\\\t\\\\tendCutoff = vec4(bCoord, bCoord);\\\\n\\\\t\\\\t\\\\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x)  / scaleRatio;\\\\n\\\\t\\\\t\\\\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\\\n\\\\t\\\\t\\\\tendCutoff += viewport.xyxy;\\\\n\\\\t\\\\t\\\\tendCutoff += endMiterWidth.xyxy;\\\\n\\\\t\\\\t}\\\\n\\\\t}\\\\n\\\\n\\\\t//round miter cutoffs\\\\n\\\\telse if (miterMode == 2.) {\\\\n\\\\t\\\\tif (enableStartMiter == 1.) {\\\\n\\\\t\\\\t\\\\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * abs(dot(startJoinDirection, currNormal)) * .5;\\\\n\\\\t\\\\t\\\\tstartCutoff = vec4(aCoord, aCoord);\\\\n\\\\t\\\\t\\\\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\\\\n\\\\t\\\\t\\\\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\\\n\\\\t\\\\t\\\\tstartCutoff += viewport.xyxy;\\\\n\\\\t\\\\t\\\\tstartCutoff += startMiterWidth.xyxy;\\\\n\\\\t\\\\t}\\\\n\\\\n\\\\t\\\\tif (enableEndMiter == 1.) {\\\\n\\\\t\\\\t\\\\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * abs(dot(endJoinDirection, currNormal)) * .5;\\\\n\\\\t\\\\t\\\\tendCutoff = vec4(bCoord, bCoord);\\\\n\\\\t\\\\t\\\\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x)  / scaleRatio;\\\\n\\\\t\\\\t\\\\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\\\n\\\\t\\\\t\\\\tendCutoff += viewport.xyxy;\\\\n\\\\t\\\\t\\\\tendCutoff += endMiterWidth.xyxy;\\\\n\\\\t\\\\t}\\\\n\\\\t}\\\\n}\\\\n\\\"]),frag:o([\\\"precision highp float;\\\\n#define GLSLIFY 1\\\\n\\\\nuniform sampler2D dashPattern;\\\\nuniform float dashSize, pixelRatio, thickness, opacity, id, miterMode;\\\\n\\\\nvarying vec4 fragColor;\\\\nvarying vec2 tangent;\\\\nvarying vec4 startCutoff, endCutoff;\\\\nvarying vec2 startCoord, endCoord;\\\\nvarying float enableStartMiter, enableEndMiter;\\\\n\\\\nfloat distToLine(vec2 p, vec2 a, vec2 b) {\\\\n\\\\tvec2 diff = b - a;\\\\n\\\\tvec2 perp = normalize(vec2(-diff.y, diff.x));\\\\n\\\\treturn dot(p - a, perp);\\\\n}\\\\n\\\\nvoid main() {\\\\n\\\\tfloat alpha = 1., distToStart, distToEnd;\\\\n\\\\tfloat cutoff = thickness * .5;\\\\n\\\\n\\\\t//bevel miter\\\\n\\\\tif (miterMode == 1.) {\\\\n\\\\t\\\\tif (enableStartMiter == 1.) {\\\\n\\\\t\\\\t\\\\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\\\\n\\\\t\\\\t\\\\tif (distToStart < -1.) {\\\\n\\\\t\\\\t\\\\t\\\\tdiscard;\\\\n\\\\t\\\\t\\\\t\\\\treturn;\\\\n\\\\t\\\\t\\\\t}\\\\n\\\\t\\\\t\\\\talpha *= min(max(distToStart + 1., 0.), 1.);\\\\n\\\\t\\\\t}\\\\n\\\\n\\\\t\\\\tif (enableEndMiter == 1.) {\\\\n\\\\t\\\\t\\\\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\\\\n\\\\t\\\\t\\\\tif (distToEnd < -1.) {\\\\n\\\\t\\\\t\\\\t\\\\tdiscard;\\\\n\\\\t\\\\t\\\\t\\\\treturn;\\\\n\\\\t\\\\t\\\\t}\\\\n\\\\t\\\\t\\\\talpha *= min(max(distToEnd + 1., 0.), 1.);\\\\n\\\\t\\\\t}\\\\n\\\\t}\\\\n\\\\n\\\\t// round miter\\\\n\\\\telse if (miterMode == 2.) {\\\\n\\\\t\\\\tif (enableStartMiter == 1.) {\\\\n\\\\t\\\\t\\\\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\\\\n\\\\t\\\\t\\\\tif (distToStart < 0.) {\\\\n\\\\t\\\\t\\\\t\\\\tfloat radius = length(gl_FragCoord.xy - startCoord);\\\\n\\\\n\\\\t\\\\t\\\\t\\\\tif(radius > cutoff + .5) {\\\\n\\\\t\\\\t\\\\t\\\\t\\\\tdiscard;\\\\n\\\\t\\\\t\\\\t\\\\t\\\\treturn;\\\\n\\\\t\\\\t\\\\t\\\\t}\\\\n\\\\n\\\\t\\\\t\\\\t\\\\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\\\\n\\\\t\\\\t\\\\t}\\\\n\\\\t\\\\t}\\\\n\\\\n\\\\t\\\\tif (enableEndMiter == 1.) {\\\\n\\\\t\\\\t\\\\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\\\\n\\\\t\\\\t\\\\tif (distToEnd < 0.) {\\\\n\\\\t\\\\t\\\\t\\\\tfloat radius = length(gl_FragCoord.xy - endCoord);\\\\n\\\\n\\\\t\\\\t\\\\t\\\\tif(radius > cutoff + .5) {\\\\n\\\\t\\\\t\\\\t\\\\t\\\\tdiscard;\\\\n\\\\t\\\\t\\\\t\\\\t\\\\treturn;\\\\n\\\\t\\\\t\\\\t\\\\t}\\\\n\\\\n\\\\t\\\\t\\\\t\\\\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\\\\n\\\\t\\\\t\\\\t}\\\\n\\\\t\\\\t}\\\\n\\\\t}\\\\n\\\\n\\\\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashSize) * .5 + .25;\\\\n\\\\tfloat dash = texture2D(dashPattern, vec2(t, .5)).r;\\\\n\\\\n\\\\tgl_FragColor = fragColor;\\\\n\\\\tgl_FragColor.a *= alpha * opacity * dash;\\\\n}\\\\n\\\"]),attributes:{lineEnd:{buffer:r,divisor:0,stride:8,offset:0},lineTop:{buffer:r,divisor:0,stride:8,offset:4},aColor:{buffer:t.prop(\\\"colorBuffer\\\"),stride:4,offset:0,divisor:1},bColor:{buffer:t.prop(\\\"colorBuffer\\\"),stride:4,offset:4,divisor:1},prevCoord:{buffer:t.prop(\\\"positionBuffer\\\"),stride:8,offset:0,divisor:1},aCoord:{buffer:t.prop(\\\"positionBuffer\\\"),stride:8,offset:8,divisor:1},bCoord:{buffer:t.prop(\\\"positionBuffer\\\"),stride:8,offset:16,divisor:1},nextCoord:{buffer:t.prop(\\\"positionBuffer\\\"),stride:8,offset:24,divisor:1}}},n))}catch(t){e=i}return{fill:t({primitive:\\\"triangle\\\",elements:function(t,e){return e.triangles},offset:0,vert:o([\\\"precision highp float;\\\\n#define GLSLIFY 1\\\\n\\\\nattribute vec2 position, positionFract;\\\\n\\\\nuniform vec4 color;\\\\nuniform vec2 scale, scaleFract, translate, translateFract;\\\\nuniform float pixelRatio, id;\\\\nuniform vec4 viewport;\\\\nuniform float opacity;\\\\n\\\\nvarying vec4 fragColor;\\\\n\\\\nconst float MAX_LINES = 256.;\\\\n\\\\nvoid main() {\\\\n\\\\tfloat depth = (MAX_LINES - 4. - id) / (MAX_LINES);\\\\n\\\\n\\\\tvec2 position = position * scale + translate\\\\n       + positionFract * scale + translateFract\\\\n       + position * scaleFract\\\\n       + positionFract * scaleFract;\\\\n\\\\n\\\\tgl_Position = vec4(position * 2.0 - 1.0, depth, 1);\\\\n\\\\n\\\\tfragColor = color / 255.;\\\\n\\\\tfragColor.a *= opacity;\\\\n}\\\\n\\\"]),frag:o([\\\"precision highp float;\\\\n#define GLSLIFY 1\\\\n\\\\nvarying vec4 fragColor;\\\\n\\\\nvoid main() {\\\\n\\\\tgl_FragColor = fragColor;\\\\n}\\\\n\\\"]),uniforms:{scale:t.prop(\\\"scale\\\"),color:t.prop(\\\"fill\\\"),scaleFract:t.prop(\\\"scaleFract\\\"),translateFract:t.prop(\\\"translateFract\\\"),translate:t.prop(\\\"translate\\\"),opacity:t.prop(\\\"opacity\\\"),pixelRatio:t.context(\\\"pixelRatio\\\"),id:t.prop(\\\"id\\\"),viewport:function(t,e){return[e.viewport.x,e.viewport.y,t.viewportWidth,t.viewportHeight]}},attributes:{position:{buffer:t.prop(\\\"positionBuffer\\\"),stride:8,offset:8},positionFract:{buffer:t.prop(\\\"positionFractBuffer\\\"),stride:8,offset:8}},blend:n.blend,depth:{enable:!1},scissor:n.scissor,stencil:n.stencil,viewport:n.viewport}),rect:i,miter:e}},v.defaults={dashes:null,join:\\\"miter\\\",miterLimit:1,thickness:10,cap:\\\"square\\\",color:\\\"black\\\",opacity:1,overlay:!1,viewport:null,range:null,close:!1,fill:null},v.prototype.render=function(){for(var t,e=[],r=arguments.length;r--;)e[r]=arguments[r];e.length&&(t=this).update.apply(t,e),this.draw()},v.prototype.draw=function(){for(var t=this,e=[],r=arguments.length;r--;)e[r]=arguments[r];return(e.length?e:this.passes).forEach((function(e,r){var n;if(e&&Array.isArray(e))return(n=t).draw.apply(n,e);\\\"number\\\"==typeof e&&(e=t.passes[e]),e&&e.count>1&&e.opacity&&(t.regl._refresh(),e.fill&&e.triangles&&e.triangles.length>2&&t.shaders.fill(e),e.thickness&&(e.scale[0]*e.viewport.width>v.precisionThreshold||e.scale[1]*e.viewport.height>v.precisionThreshold||\\\"rect\\\"===e.join||!e.join&&(e.thickness<=2||e.count>=v.maxPoints)?t.shaders.rect(e):t.shaders.miter(e)))})),this},v.prototype.update=function(t){var e=this;if(t){null!=t.length?\\\"number\\\"==typeof t[0]&&(t=[{positions:t}]):Array.isArray(t)||(t=[t]);var r=this.regl,o=this.gl;if(t.forEach((function(t,f){var d=e.passes[f];if(void 0!==t)if(null!==t){if(\\\"number\\\"==typeof t[0]&&(t={positions:t}),t=s(t,{positions:\\\"positions points data coords\\\",thickness:\\\"thickness lineWidth lineWidths line-width linewidth width stroke-width strokewidth strokeWidth\\\",join:\\\"lineJoin linejoin join type mode\\\",miterLimit:\\\"miterlimit miterLimit\\\",dashes:\\\"dash dashes dasharray dash-array dashArray\\\",color:\\\"color colour stroke colors colours stroke-color strokeColor\\\",fill:\\\"fill fill-color fillColor\\\",opacity:\\\"alpha opacity\\\",overlay:\\\"overlay crease overlap intersect\\\",close:\\\"closed close closed-path closePath\\\",range:\\\"range dataBox\\\",viewport:\\\"viewport viewBox\\\",hole:\\\"holes hole hollow\\\",splitNull:\\\"splitNull\\\"}),d||(e.passes[f]=d={id:f,scale:null,scaleFract:null,translate:null,translateFract:null,count:0,hole:[],depth:0,dashLength:1,dashTexture:r.texture({channels:1,data:new Uint8Array([255]),width:1,height:1,mag:\\\"linear\\\",min:\\\"linear\\\"}),colorBuffer:r.buffer({usage:\\\"dynamic\\\",type:\\\"uint8\\\",data:new Uint8Array}),positionBuffer:r.buffer({usage:\\\"dynamic\\\",type:\\\"float\\\",data:new Uint8Array}),positionFractBuffer:r.buffer({usage:\\\"dynamic\\\",type:\\\"float\\\",data:new Uint8Array})},t=a({},v.defaults,t)),null!=t.thickness&&(d.thickness=parseFloat(t.thickness)),null!=t.opacity&&(d.opacity=parseFloat(t.opacity)),null!=t.miterLimit&&(d.miterLimit=parseFloat(t.miterLimit)),null!=t.overlay&&(d.overlay=!!t.overlay,f<v.maxLines&&(d.depth=2*(v.maxLines-1-f%v.maxLines)/v.maxLines-1)),null!=t.join&&(d.join=t.join),null!=t.hole&&(d.hole=t.hole),null!=t.fill&&(d.fill=t.fill?n(t.fill,\\\"uint8\\\"):null),null!=t.viewport&&(d.viewport=m(t.viewport)),d.viewport||(d.viewport=m([o.drawingBufferWidth,o.drawingBufferHeight])),null!=t.close&&(d.close=t.close),null===t.positions&&(t.positions=[]),t.positions){var y,x;if(t.positions.x&&t.positions.y){var b=t.positions.x,_=t.positions.y;x=d.count=Math.max(b.length,_.length),y=new Float64Array(2*x);for(var w=0;w<x;w++)y[2*w]=b[w],y[2*w+1]=_[w]}else y=l(t.positions,\\\"float64\\\"),x=d.count=Math.floor(y.length/2);var T=d.bounds=i(y,2);if(d.fill){for(var k=[],M={},A=0,S=0,E=0,L=d.count;S<L;S++){var C=y[2*S],P=y[2*S+1];isNaN(C)||isNaN(P)||null==C||null==P?(C=y[2*A],P=y[2*A+1],M[S]=A):A=S,k[E++]=C,k[E++]=P}if(t.splitNull){d.count-1 in M||(M[d.count]=d.count-1);var I=Object.keys(M).map(Number).sort((function(t,e){return t-e})),O=[],z=0,D=null!=d.hole?d.hole[0]:null;if(null!=D){var R=g(I,(function(t){return t>=D}));(I=I.slice(0,R)).push(D)}for(var F=function(t){var e=k.slice(2*z,2*I[t]).concat(D?k.slice(2*D):[]),r=(d.hole||[]).map((function(e){return e-D+(I[t]-z)})),n=c(e,r);n=n.map((function(e){return e+z+(e+z<I[t]?0:D-I[t])})),O.push.apply(O,n),z=I[t]+1},B=0;B<I.length;B++)F(B);for(var N=0,j=O.length;N<j;N++)null!=M[O[N]]&&(O[N]=M[O[N]]);d.triangles=O}else{for(var U=c(k,d.hole||[]),V=0,q=U.length;V<q;V++)null!=M[U[V]]&&(U[V]=M[U[V]]);d.triangles=U}}var H=new Float64Array(y);u(H,2,T);var G=new Float64Array(2*x+6);d.close?y[0]===y[2*x-2]&&y[1]===y[2*x-1]?(G[0]=H[2*x-4],G[1]=H[2*x-3]):(G[0]=H[2*x-2],G[1]=H[2*x-1]):(G[0]=H[0],G[1]=H[1]),G.set(H,2),d.close?y[0]===y[2*x-2]&&y[1]===y[2*x-1]?(G[2*x+2]=H[2],G[2*x+3]=H[3],d.count-=1):(G[2*x+2]=H[0],G[2*x+3]=H[1],G[2*x+4]=H[2],G[2*x+5]=H[3]):(G[2*x+2]=H[2*x-2],G[2*x+3]=H[2*x-1],G[2*x+4]=H[2*x-2],G[2*x+5]=H[2*x-1]),d.positionBuffer(h(G)),d.positionFractBuffer(p(G))}if(t.range?d.range=t.range:d.range||(d.range=d.bounds),(t.range||t.positions)&&d.count){var Y=d.bounds,W=Y[2]-Y[0],X=Y[3]-Y[1],Z=d.range[2]-d.range[0],J=d.range[3]-d.range[1];d.scale=[W/Z,X/J],d.translate=[-d.range[0]/Z+Y[0]/Z||0,-d.range[1]/J+Y[1]/J||0],d.scaleFract=p(d.scale),d.translateFract=p(d.translate)}if(t.dashes){var K,Q=0;if(!t.dashes||t.dashes.length<2)Q=1,K=new Uint8Array([255,255,255,255,255,255,255,255]);else{Q=0;for(var $=0;$<t.dashes.length;++$)Q+=t.dashes[$];K=new Uint8Array(Q*v.dashMult);for(var tt=0,et=255,rt=0;rt<2;rt++)for(var nt=0;nt<t.dashes.length;++nt){for(var it=0,at=t.dashes[nt]*v.dashMult*.5;it<at;++it)K[tt++]=et;et^=255}}d.dashLength=Q,d.dashTexture({channels:1,data:K,width:K.length,height:1,mag:\\\"linear\\\",min:\\\"linear\\\"},0,0)}if(t.color){var ot=d.count,st=t.color;st||(st=\\\"transparent\\\");var lt=new Uint8Array(4*ot+4);if(Array.isArray(st)&&\\\"number\\\"!=typeof st[0]){for(var ct=0;ct<ot;ct++){var ut=n(st[ct],\\\"uint8\\\");lt.set(ut,4*ct)}lt.set(n(st[0],\\\"uint8\\\"),4*ot)}else for(var ft=n(st,\\\"uint8\\\"),ht=0;ht<ot+1;ht++)lt.set(ft,4*ht);d.colorBuffer({usage:\\\"dynamic\\\",type:\\\"uint8\\\",data:lt})}}else e.passes[f]=null})),t.length<this.passes.length){for(var f=t.length;f<this.passes.length;f++){var d=this.passes[f];d&&(d.colorBuffer.destroy(),d.positionBuffer.destroy(),d.dashTexture.destroy())}this.passes.length=t.length}for(var y=[],x=0;x<this.passes.length;x++)null!==this.passes[x]&&y.push(this.passes[x]);return this.passes=y,this}},v.prototype.destroy=function(){return this.passes.forEach((function(t){t.colorBuffer.destroy(),t.positionBuffer.destroy(),t.dashTexture.destroy()})),this.passes.length=0,this}},{\\\"array-bounds\\\":72,\\\"array-find-index\\\":73,\\\"array-normalize\\\":74,\\\"color-normalize\\\":127,earcut:178,\\\"es6-weak-map\\\":233,\\\"flatten-vertex-data\\\":244,glslify:434,\\\"object-assign\\\":479,\\\"parse-rect\\\":484,\\\"pick-by-alias\\\":490,\\\"to-float32\\\":591}],530:[function(t,e,r){\\\"use strict\\\";function n(t,e){return function(t){if(Array.isArray(t))return t}(t)||function(t,e){if(\\\"undefined\\\"==typeof Symbol||!(Symbol.iterator in Object(t)))return;var r=[],n=!0,i=!1,a=void 0;try{for(var o,s=t[Symbol.iterator]();!(n=(o=s.next()).done)&&(r.push(o.value),!e||r.length!==e);n=!0);}catch(t){i=!0,a=t}finally{try{n||null==s.return||s.return()}finally{if(i)throw a}}return r}(t,e)||a(t,e)||function(){throw new TypeError(\\\"Invalid attempt to destructure non-iterable instance.\\\\nIn order to be iterable, non-array objects 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s=t(\\\"color-normalize\\\"),l=t(\\\"array-bounds\\\"),c=t(\\\"color-id\\\"),u=t(\\\"@plotly/point-cluster\\\"),f=t(\\\"object-assign\\\"),h=t(\\\"glslify\\\"),p=t(\\\"pick-by-alias\\\"),d=t(\\\"update-diff\\\"),m=t(\\\"flatten-vertex-data\\\"),g=t(\\\"is-iexplorer\\\"),v=t(\\\"to-float32\\\"),y=t(\\\"parse-rect\\\"),x=b;function b(t,e){var r=this;if(!(this instanceof b))return new b(t,e);\\\"function\\\"==typeof t?(e||(e={}),e.regl=t):(e=t,t=null),e&&e.length&&(e.positions=e);var n,i=(t=e.regl)._gl,a=[];this.tooManyColors=g,n=t.texture({data:new Uint8Array(1020),width:255,height:1,type:\\\"uint8\\\",format:\\\"rgba\\\",wrapS:\\\"clamp\\\",wrapT:\\\"clamp\\\",mag:\\\"nearest\\\",min:\\\"nearest\\\"}),f(this,{regl:t,gl:i,groups:[],markerCache:[null],markerTextures:[null],palette:a,paletteIds:{},paletteTexture:n,maxColors:255,maxSize:100,canvas:i.canvas}),this.update(e);var o={uniforms:{constPointSize:!!e.constPointSize,pixelRatio:t.context(\\\"pixelRatio\\\"),palette:n,paletteSize:function(t,e){return[r.tooManyColors?0:255,n.height]},scale:t.prop(\\\"scale\\\"),scaleFract:t.prop(\\\"scaleFract\\\"),translate:t.prop(\\\"translate\\\"),translateFract:t.prop(\\\"translateFract\\\"),opacity:t.prop(\\\"opacity\\\"),marker:t.prop(\\\"markerTexture\\\")},attributes:{x:function(t,e){return e.xAttr||{buffer:e.positionBuffer,stride:8,offset:0}},y:function(t,e){return e.yAttr||{buffer:e.positionBuffer,stride:8,offset:4}},xFract:function(t,e){return e.xAttr?{constant:[0,0]}:{buffer:e.positionFractBuffer,stride:8,offset:0}},yFract:function(t,e){return e.yAttr?{constant:[0,0]}:{buffer:e.positionFractBuffer,stride:8,offset:4}},size:function(t,e){return e.size.length?{buffer:e.sizeBuffer,stride:2,offset:0}:{constant:[Math.round(255*e.size/r.maxSize)]}},borderSize:function(t,e){return e.borderSize.length?{buffer:e.sizeBuffer,stride:2,offset:1}:{constant:[Math.round(255*e.borderSize/r.maxSize)]}},colorId:function(t,e){return e.color.length?{buffer:e.colorBuffer,stride:r.tooManyColors?8:4,offset:0}:{constant:r.tooManyColors?a.slice(4*e.color,4*e.color+4):[e.color]}},borderColorId:function(t,e){return e.borderColor.length?{buffer:e.colorBuffer,stride:r.tooManyColors?8:4,offset:r.tooManyColors?4:2}:{constant:r.tooManyColors?a.slice(4*e.borderColor,4*e.borderColor+4):[e.borderColor]}},isActive:function(t,e){return!0===e.activation?{constant:[1]}:e.activation?e.activation:{constant:[0]}}},blend:{enable:!0,color:[0,0,0,1],func:{srcRGB:\\\"src alpha\\\",dstRGB:\\\"one minus src alpha\\\",srcAlpha:\\\"one minus dst 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colorAmt * fragColor.a * opacity);\\\\n  }\\\\n  else {\\\\n    float borderColorAmt = smoothstep(fragBorderColorLevel - delta, fragBorderColorLevel + delta, dist);\\\\n    float colorAmt = smoothstep(fragColorLevel - delta, fragColorLevel + delta, dist);\\\\n\\\\n    vec4 color = fragBorderColor;\\\\n    color.a *= borderColorAmt;\\\\n    color = mix(color, fragColor, colorAmt);\\\\n    color.a *= opacity;\\\\n\\\\n    gl_FragColor = color;\\\\n  }\\\\n\\\\n}\\\\n\\\"]),s.vert=h([\\\"precision highp float;\\\\n#define GLSLIFY 1\\\\n\\\\nattribute float x, y, xFract, yFract;\\\\nattribute float size, borderSize;\\\\nattribute vec4 colorId, borderColorId;\\\\nattribute float isActive;\\\\n\\\\nuniform vec2 scale, scaleFract, translate, translateFract, paletteSize;\\\\nuniform float pixelRatio;\\\\nuniform bool constPointSize;\\\\nuniform sampler2D palette;\\\\n\\\\nconst float maxSize = 100.;\\\\nconst float borderLevel = .5;\\\\n\\\\nvarying vec4 fragColor, fragBorderColor;\\\\nvarying float fragPointSize, fragBorderRadius, fragWidth, fragBorderColorLevel, fragColorLevel;\\\\n\\\\nfloat pointSizeScale = (constPointSize) ? 2. : pixelRatio;\\\\n\\\\nbool isDirect = (paletteSize.x < 1.);\\\\n\\\\nvec4 getColor(vec4 id) {\\\\n  return isDirect ? id / 255. : texture2D(palette,\\\\n    vec2(\\\\n      (id.x + .5) / paletteSize.x,\\\\n      (id.y + .5) / paletteSize.y\\\\n    )\\\\n  );\\\\n}\\\\n\\\\nvoid main() {\\\\n  // ignore inactive points\\\\n  if (isActive == 0.) return;\\\\n\\\\n  vec2 position = vec2(x, y);\\\\n  vec2 positionFract = vec2(xFract, yFract);\\\\n\\\\n  vec4 color = getColor(colorId);\\\\n  vec4 borderColor = getColor(borderColorId);\\\\n\\\\n  float size = size * maxSize / 255.;\\\\n  float borderSize = borderSize * maxSize / 255.;\\\\n\\\\n  gl_PointSize = 2. * size * pointSizeScale;\\\\n  fragPointSize = size * pixelRatio;\\\\n\\\\n  vec2 pos = (position + translate) * scale\\\\n      + (positionFract + translateFract) * scale\\\\n      + (position + translate) * scaleFract\\\\n      + (positionFract + translateFract) * scaleFract;\\\\n\\\\n  gl_Position = vec4(pos * 2. - 1., 0., 1.);\\\\n\\\\n  fragColor = color;\\\\n  fragBorderColor = borderColor;\\\\n  fragWidth = 1. / gl_PointSize;\\\\n\\\\n  fragBorderColorLevel = clamp(borderLevel - borderLevel * borderSize / size, 0., 1.);\\\\n  fragColorLevel = clamp(borderLevel + (1. - borderLevel) * borderSize / size, 0., 1.);\\\\n}\\\"]),this.drawMarker=t(s);var l=f({},o);l.frag=h([\\\"precision highp float;\\\\n#define GLSLIFY 1\\\\n\\\\nvarying vec4 fragColor, fragBorderColor;\\\\n\\\\nuniform float opacity;\\\\nvarying float fragBorderRadius, fragWidth;\\\\n\\\\nfloat smoothStep(float edge0, float edge1, float x) {\\\\n\\\\tfloat t;\\\\n\\\\tt = clamp((x - edge0) / (edge1 - edge0), 0.0, 1.0);\\\\n\\\\treturn t * t * (3.0 - 2.0 * t);\\\\n}\\\\n\\\\nvoid main() {\\\\n\\\\tfloat radius, alpha = 1.0, delta = fragWidth;\\\\n\\\\n\\\\tradius = length(2.0 * gl_PointCoord.xy - 1.0);\\\\n\\\\n\\\\tif (radius > 1.0 + delta) {\\\\n\\\\t\\\\tdiscard;\\\\n\\\\t}\\\\n\\\\n\\\\talpha -= smoothstep(1.0 - delta, 1.0 + delta, radius);\\\\n\\\\n\\\\tfloat borderRadius = fragBorderRadius;\\\\n\\\\tfloat ratio = smoothstep(borderRadius - delta, borderRadius + delta, radius);\\\\n\\\\tvec4 color = mix(fragColor, fragBorderColor, ratio);\\\\n\\\\tcolor.a *= alpha * opacity;\\\\n\\\\tgl_FragColor = color;\\\\n}\\\\n\\\"]),l.vert=h([\\\"precision highp float;\\\\n#define GLSLIFY 1\\\\n\\\\nattribute float x, y, xFract, yFract;\\\\nattribute float size, borderSize;\\\\nattribute vec4 colorId, borderColorId;\\\\nattribute float isActive;\\\\n\\\\nuniform vec2 scale, scaleFract, translate, translateFract;\\\\nuniform float pixelRatio;\\\\nuniform bool constPointSize;\\\\nuniform sampler2D palette;\\\\nuniform vec2 paletteSize;\\\\n\\\\nconst float maxSize = 100.;\\\\n\\\\nvarying vec4 fragColor, fragBorderColor;\\\\nvarying float fragBorderRadius, fragWidth;\\\\n\\\\nfloat pointSizeScale = (constPointSize) ? 2. : pixelRatio;\\\\n\\\\nbool isDirect = (paletteSize.x < 1.);\\\\n\\\\nvec4 getColor(vec4 id) {\\\\n  return isDirect ? id / 255. : texture2D(palette,\\\\n    vec2(\\\\n      (id.x + .5) / paletteSize.x,\\\\n      (id.y + .5) / paletteSize.y\\\\n    )\\\\n  );\\\\n}\\\\n\\\\nvoid main() {\\\\n  // ignore inactive points\\\\n  if (isActive == 0.) return;\\\\n\\\\n  vec2 position = vec2(x, y);\\\\n  vec2 positionFract = vec2(xFract, yFract);\\\\n\\\\n  vec4 color = getColor(colorId);\\\\n  vec4 borderColor = getColor(borderColorId);\\\\n\\\\n  float size = size * maxSize / 255.;\\\\n  float borderSize = borderSize * maxSize / 255.;\\\\n\\\\n  gl_PointSize = (size + borderSize) * pointSizeScale;\\\\n\\\\n  vec2 pos = (position + translate) * scale\\\\n      + (positionFract + translateFract) * scale\\\\n      + (position + translate) * scaleFract\\\\n      + (positionFract + translateFract) * scaleFract;\\\\n\\\\n  gl_Position = vec4(pos * 2. - 1., 0., 1.);\\\\n\\\\n  fragBorderRadius = 1. - 2. * borderSize / (size + borderSize);\\\\n  fragColor = color;\\\\n  fragBorderColor = borderColor.a == 0. || borderSize == 0. ? vec4(color.rgb, 0.) : borderColor;\\\\n  fragWidth = 1. / gl_PointSize;\\\\n}\\\\n\\\"]),g&&(l.frag=l.frag.replace(\\\"smoothstep\\\",\\\"smoothStep\\\"),s.frag=s.frag.replace(\\\"smoothstep\\\",\\\"smoothStep\\\")),this.drawCircle=t(l)}b.defaults={color:\\\"black\\\",borderColor:\\\"transparent\\\",borderSize:0,size:12,opacity:1,marker:void 0,viewport:null,range:null,pixelSize:null,count:0,offset:0,bounds:null,positions:[],snap:1e4},b.prototype.render=function(){return arguments.length&&this.update.apply(this,arguments),this.draw(),this},b.prototype.draw=function(){for(var t=this,e=arguments.length,r=new Array(e),n=0;n<e;n++)r[n]=arguments[n];var i=this.groups;if(1===r.length&&Array.isArray(r[0])&&(null===r[0][0]||Array.isArray(r[0][0]))&&(r=r[0]),this.regl._refresh(),r.length)for(var a=0;a<r.length;a++)this.drawItem(a,r[a]);else i.forEach((function(e,r){t.drawItem(r)}));return this},b.prototype.drawItem=function(t,e){var r=this.groups,n=r[t];if(\\\"number\\\"==typeof e&&(t=e,n=r[e],e=null),n&&n.count&&n.opacity){n.activation[0]&&this.drawCircle(this.getMarkerDrawOptions(0,n,e));for(var a=[],o=1;o<n.activation.length;o++)n.activation[o]&&(!0===n.activation[o]||n.activation[o].data.length)&&a.push.apply(a,i(this.getMarkerDrawOptions(o,n,e)));a.length&&this.drawMarker(a)}},b.prototype.getMarkerDrawOptions=function(t,e,r){var i=e.range,a=e.tree,o=e.viewport,s=e.activation,l=e.selectionBuffer,c=e.count;this.regl;if(!a)return r?[f({},e,{markerTexture:this.markerTextures[t],activation:s[t],count:r.length,elements:r,offset:0})]:[f({},e,{markerTexture:this.markerTextures[t],activation:s[t],offset:0})];var u=[],h=a.range(i,{lod:!0,px:[(i[2]-i[0])/o.width,(i[3]-i[1])/o.height]});if(r){for(var p=s[t].data,d=new Uint8Array(c),m=0;m<r.length;m++){var g=r[m];d[g]=p?p[g]:1}l.subdata(d)}for(var v=h.length;v--;){var y=n(h[v],2),x=y[0],b=y[1];u.push(f({},e,{markerTexture:this.markerTextures[t],activation:r?l:s[t],offset:x,count:b-x}))}return u},b.prototype.update=function(){for(var t=this,e=arguments.length,r=new Array(e),n=0;n<e;n++)r[n]=arguments[n];if(r.length){1===r.length&&Array.isArray(r[0])&&(r=r[0]);var i=this.groups,a=this.gl,o=this.regl,s=this.maxSize,c=this.maxColors,h=this.palette;this.groups=i=r.map((function(e,r){var n=i[r];if(void 0===e)return n;null===e?e={positions:null}:\\\"function\\\"==typeof e?e={ondraw:e}:\\\"number\\\"==typeof e[0]&&(e={positions:e}),null===(e=p(e,{positions:\\\"positions data points\\\",snap:\\\"snap cluster lod tree\\\",size:\\\"sizes size radius\\\",borderSize:\\\"borderSizes borderSize border-size bordersize borderWidth borderWidths border-width borderwidth stroke-width strokeWidth strokewidth outline\\\",color:\\\"colors color fill fill-color fillColor\\\",borderColor:\\\"borderColors borderColor stroke stroke-color strokeColor\\\",marker:\\\"markers marker shape\\\",range:\\\"range dataBox databox\\\",viewport:\\\"viewport viewPort viewBox viewbox\\\",opacity:\\\"opacity alpha transparency\\\",bounds:\\\"bound bounds boundaries limits\\\",tooManyColors:\\\"tooManyColors palette paletteMode optimizePalette enablePalette\\\"})).positions&&(e.positions=[]),null!=e.tooManyColors&&(t.tooManyColors=e.tooManyColors),n||(i[r]=n={id:r,scale:null,translate:null,scaleFract:null,translateFract:null,activation:[],selectionBuffer:o.buffer({data:new Uint8Array(0),usage:\\\"stream\\\",type:\\\"uint8\\\"}),sizeBuffer:o.buffer({data:new Uint8Array(0),usage:\\\"dynamic\\\",type:\\\"uint8\\\"}),colorBuffer:o.buffer({data:new Uint8Array(0),usage:\\\"dynamic\\\",type:\\\"uint8\\\"}),positionBuffer:o.buffer({data:new Uint8Array(0),usage:\\\"dynamic\\\",type:\\\"float\\\"}),positionFractBuffer:o.buffer({data:new Uint8Array(0),usage:\\\"dynamic\\\",type:\\\"float\\\"})},e=f({},b.defaults,e)),e.positions&&!(\\\"marker\\\"in e)&&(e.marker=n.marker,delete n.marker),e.marker&&!(\\\"positions\\\"in e)&&(e.positions=n.positions,delete n.positions);var g=0,x=0;if(d(n,e,[{snap:!0,size:function(t,e){return null==t&&(t=b.defaults.size),g+=t&&t.length?1:0,t},borderSize:function(t,e){return null==t&&(t=b.defaults.borderSize),g+=t&&t.length?1:0,t},opacity:parseFloat,color:function(e,r){return null==e&&(e=b.defaults.color),e=t.updateColor(e),x++,e},borderColor:function(e,r){return null==e&&(e=b.defaults.borderColor),e=t.updateColor(e),x++,e},bounds:function(t,e,r){return\\\"range\\\"in r||(r.range=null),t},positions:function(t,e,r){var n=e.snap,i=e.positionBuffer,a=e.positionFractBuffer,s=e.selectionBuffer;if(t.x||t.y)return t.x.length?e.xAttr={buffer:o.buffer(t.x),offset:0,stride:4,count:t.x.length}:e.xAttr={buffer:t.x.buffer,offset:4*t.x.offset||0,stride:4*(t.x.stride||1),count:t.x.count},t.y.length?e.yAttr={buffer:o.buffer(t.y),offset:0,stride:4,count:t.y.length}:e.yAttr={buffer:t.y.buffer,offset:4*t.y.offset||0,stride:4*(t.y.stride||1),count:t.y.count},e.count=Math.max(e.xAttr.count,e.yAttr.count),t;t=m(t,\\\"float64\\\");var c=e.count=Math.floor(t.length/2),f=e.bounds=c?l(t,2):null;if(r.range||e.range||(delete e.range,r.range=f),r.marker||e.marker||(delete e.marker,r.marker=null),n&&(!0===n||c>n)?e.tree=u(t,{bounds:f}):n&&n.length&&(e.tree=n),e.tree){var h={primitive:\\\"points\\\",usage:\\\"static\\\",data:e.tree,type:\\\"uint32\\\"};e.elements?e.elements(h):e.elements=o.elements(h)}return i({data:v.float(t),usage:\\\"dynamic\\\"}),a({data:v.fract(t),usage:\\\"dynamic\\\"}),s({data:new Uint8Array(c),type:\\\"uint8\\\",usage:\\\"stream\\\"}),t}},{marker:function(e,r,n){var i=r.activation;if(i.forEach((function(t){return t&&t.destroy&&t.destroy()})),i.length=0,e&&\\\"number\\\"!=typeof e[0]){for(var a=[],s=0,l=Math.min(e.length,r.count);s<l;s++){var c=t.addMarker(e[s]);a[c]||(a[c]=new Uint8Array(r.count)),a[c][s]=1}for(var u=0;u<a.length;u++)if(a[u]){var f={data:a[u],type:\\\"uint8\\\",usage:\\\"static\\\"};i[u]?i[u](f):i[u]=o.buffer(f),i[u].data=a[u]}}else{i[t.addMarker(e)]=!0}return e},range:function(t,e,r){var n=e.bounds;if(n)return t||(t=n),e.scale=[1/(t[2]-t[0]),1/(t[3]-t[1])],e.translate=[-t[0],-t[1]],e.scaleFract=v.fract(e.scale),e.translateFract=v.fract(e.translate),t},viewport:function(t){return y(t||[a.drawingBufferWidth,a.drawingBufferHeight])}}]),g){var _=n,w=_.count,T=_.size,k=_.borderSize,M=_.sizeBuffer,A=new Uint8Array(2*w);if(T.length||k.length)for(var S=0;S<w;S++)A[2*S]=Math.round(255*(null==T[S]?T:T[S])/s),A[2*S+1]=Math.round(255*(null==k[S]?k:k[S])/s);M({data:A,usage:\\\"dynamic\\\"})}if(x){var E,L=n,C=L.count,P=L.color,I=L.borderColor,O=L.colorBuffer;if(t.tooManyColors){if(P.length||I.length){E=new Uint8Array(8*C);for(var z=0;z<C;z++){var D=P[z];E[8*z]=h[4*D],E[8*z+1]=h[4*D+1],E[8*z+2]=h[4*D+2],E[8*z+3]=h[4*D+3];var R=I[z];E[8*z+4]=h[4*R],E[8*z+5]=h[4*R+1],E[8*z+6]=h[4*R+2],E[8*z+7]=h[4*R+3]}}}else if(P.length||I.length){E=new Uint8Array(4*C+2);for(var F=0;F<C;F++)null!=P[F]&&(E[4*F]=P[F]%c,E[4*F+1]=Math.floor(P[F]/c)),null!=I[F]&&(E[4*F+2]=I[F]%c,E[4*F+3]=Math.floor(I[F]/c))}O({data:E||new Uint8Array(0),type:\\\"uint8\\\",usage:\\\"dynamic\\\"})}return n}))}},b.prototype.addMarker=function(t){var e,r=this.markerTextures,n=this.regl,i=this.markerCache,a=null==t?0:i.indexOf(t);if(a>=0)return a;if(t instanceof Uint8Array||t instanceof Uint8ClampedArray)e=t;else{e=new Uint8Array(t.length);for(var o=0,s=t.length;o<s;o++)e[o]=255*t[o]}var l=Math.floor(Math.sqrt(e.length));return a=r.length,i.push(t),r.push(n.texture({channels:1,data:e,radius:l,mag:\\\"linear\\\",min:\\\"linear\\\"})),a},b.prototype.updateColor=function(t){var e=this.paletteIds,r=this.palette,n=this.maxColors;Array.isArray(t)||(t=[t]);var i=[];if(\\\"number\\\"==typeof t[0]){var a=[];if(Array.isArray(t))for(var o=0;o<t.length;o+=4)a.push(t.slice(o,o+4));else for(var l=0;l<t.length;l+=4)a.push(t.subarray(l,l+4));t=a}for(var u=0;u<t.length;u++){var f=t[u];f=s(f,\\\"uint8\\\");var h=c(f,!1);if(null==e[h]){var p=r.length;e[h]=Math.floor(p/4),r[p]=f[0],r[p+1]=f[1],r[p+2]=f[2],r[p+3]=f[3]}i[u]=e[h]}return!this.tooManyColors&&r.length>4*n&&(this.tooManyColors=!0),this.updatePalette(r),1===i.length?i[0]:i},b.prototype.updatePalette=function(t){if(!this.tooManyColors){var e=this.maxColors,r=this.paletteTexture,n=Math.ceil(.25*t.length/e);if(n>1)for(var i=.25*(t=t.slice()).length%e;i<n*e;i++)t.push(0,0,0,0);r.height<n&&r.resize(e,n),r.subimage({width:Math.min(.25*t.length,e),height:n,data:t},0,0)}},b.prototype.destroy=function(){return this.groups.forEach((function(t){t.sizeBuffer.destroy(),t.positionBuffer.destroy(),t.positionFractBuffer.destroy(),t.colorBuffer.destroy(),t.activation.forEach((function(t){return t&&t.destroy&&t.destroy()})),t.selectionBuffer.destroy(),t.elements&&t.elements.destroy()})),this.groups.length=0,this.paletteTexture.destroy(),this.markerTextures.forEach((function(t){return t&&t.destroy&&t.destroy()})),this};var _=t(\\\"object-assign\\\");e.exports=function(t,e){var r=new x(t,e),n=r.render.bind(r);return _(n,{render:n,update:r.update.bind(r),draw:r.draw.bind(r),destroy:r.destroy.bind(r),regl:r.regl,gl:r.gl,canvas:r.gl.canvas,groups:r.groups,markers:r.markerCache,palette:r.palette}),n}},{\\\"@plotly/point-cluster\\\":59,\\\"array-bounds\\\":72,\\\"color-id\\\":125,\\\"color-normalize\\\":127,\\\"flatten-vertex-data\\\":244,glslify:434,\\\"is-iexplorer\\\":446,\\\"object-assign\\\":479,\\\"parse-rect\\\":484,\\\"pick-by-alias\\\":490,\\\"to-float32\\\":591,\\\"update-diff\\\":613}],531:[function(t,e,r){\\\"use strict\\\";var n=t(\\\"regl-scatter2d\\\"),i=t(\\\"pick-by-alias\\\"),a=t(\\\"array-bounds\\\"),o=t(\\\"raf\\\"),s=t(\\\"array-range\\\"),l=t(\\\"parse-rect\\\"),c=t(\\\"flatten-vertex-data\\\");function u(t,e){if(!(this instanceof u))return new u(t,e);this.traces=[],this.passes={},this.regl=t,this.scatter=n(t),this.canvas=this.scatter.canvas}function f(t,e,r){return(null!=t.id?t.id:t)<<16|(255&e)<<8|255&r}function h(t,e,r){var n,i,a,o,s=t[e],l=t[r];return s.length>2?(s[0],s[2],n=s[1],i=s[3]):s.length?(n=s[0],i=s[1]):(s.x,n=s.y,s.x+s.width,i=s.y+s.height),l.length>2?(a=l[0],o=l[2],l[1],l[3]):l.length?(a=l[0],o=l[1]):(a=l.x,l.y,o=l.x+l.width,l.y+l.height),[a,n,o,i]}function p(t){if(\\\"number\\\"==typeof t)return[t,t,t,t];if(2===t.length)return[t[0],t[1],t[0],t[1]];var e=l(t);return[e.x,e.y,e.x+e.width,e.y+e.height]}e.exports=u,u.prototype.render=function(){for(var t,e=this,r=[],n=arguments.length;n--;)r[n]=arguments[n];return r.length&&(t=this).update.apply(t,r),this.regl.attributes.preserveDrawingBuffer?this.draw():(this.dirty?null==this.planned&&(this.planned=o((function(){e.draw(),e.dirty=!0,e.planned=null}))):(this.draw(),this.dirty=!0,o((function(){e.dirty=!1}))),this)},u.prototype.update=function(){for(var t,e=[],r=arguments.length;r--;)e[r]=arguments[r];if(e.length){for(var n=0;n<e.length;n++)this.updateItem(n,e[n]);this.traces=this.traces.filter(Boolean);for(var i=[],a=0,o=0;o<this.traces.length;o++){for(var s=this.traces[o],l=this.traces[o].passes,c=0;c<l.length;c++)i.push(this.passes[l[c]]);s.passOffset=a,a+=s.passes.length}return(t=this.scatter).update.apply(t,i),this}},u.prototype.updateItem=function(t,e){var r=this.regl;if(null===e)return this.traces[t]=null,this;if(!e)return this;var n,o=i(e,{data:\\\"data items columns rows values dimensions samples x\\\",snap:\\\"snap cluster\\\",size:\\\"sizes size radius\\\",color:\\\"colors color fill fill-color fillColor\\\",opacity:\\\"opacity alpha transparency opaque\\\",borderSize:\\\"borderSizes borderSize border-size bordersize borderWidth borderWidths border-width borderwidth stroke-width strokeWidth strokewidth outline\\\",borderColor:\\\"borderColors borderColor bordercolor stroke stroke-color strokeColor\\\",marker:\\\"markers marker shape\\\",range:\\\"range ranges databox dataBox\\\",viewport:\\\"viewport viewBox viewbox\\\",domain:\\\"domain domains area areas\\\",padding:\\\"pad padding paddings pads margin margins\\\",transpose:\\\"transpose transposed\\\",diagonal:\\\"diagonal diag showDiagonal\\\",upper:\\\"upper up top upperhalf upperHalf showupperhalf showUpper showUpperHalf\\\",lower:\\\"lower low bottom lowerhalf lowerHalf showlowerhalf showLowerHalf showLower\\\"}),s=this.traces[t]||(this.traces[t]={id:t,buffer:r.buffer({usage:\\\"dynamic\\\",type:\\\"float\\\",data:new Uint8Array}),color:\\\"black\\\",marker:null,size:12,borderColor:\\\"transparent\\\",borderSize:1,viewport:l([r._gl.drawingBufferWidth,r._gl.drawingBufferHeight]),padding:[0,0,0,0],opacity:1,diagonal:!0,upper:!0,lower:!0});if(null!=o.color&&(s.color=o.color),null!=o.size&&(s.size=o.size),null!=o.marker&&(s.marker=o.marker),null!=o.borderColor&&(s.borderColor=o.borderColor),null!=o.borderSize&&(s.borderSize=o.borderSize),null!=o.opacity&&(s.opacity=o.opacity),o.viewport&&(s.viewport=l(o.viewport)),null!=o.diagonal&&(s.diagonal=o.diagonal),null!=o.upper&&(s.upper=o.upper),null!=o.lower&&(s.lower=o.lower),o.data){s.buffer(c(o.data)),s.columns=o.data.length,s.count=o.data[0].length,s.bounds=[];for(var u=0;u<s.columns;u++)s.bounds[u]=a(o.data[u],1)}o.range&&(s.range=o.range,n=s.range&&\\\"number\\\"!=typeof s.range[0]),o.domain&&(s.domain=o.domain);var d=!1;null!=o.padding&&(Array.isArray(o.padding)&&o.padding.length===s.columns&&\\\"number\\\"==typeof o.padding[o.padding.length-1]?(s.padding=o.padding.map(p),d=!0):s.padding=p(o.padding));var m=s.columns,g=s.count,v=s.viewport.width,y=s.viewport.height,x=s.viewport.x,b=s.viewport.y,_=v/m,w=y/m;s.passes=[];for(var T=0;T<m;T++)for(var k=0;k<m;k++)if((s.diagonal||k!==T)&&(s.upper||!(T>k))&&(s.lower||!(T<k))){var M=f(s.id,T,k),A=this.passes[M]||(this.passes[M]={});if(o.data&&(o.transpose?A.positions={x:{buffer:s.buffer,offset:k,count:g,stride:m},y:{buffer:s.buffer,offset:T,count:g,stride:m}}:A.positions={x:{buffer:s.buffer,offset:k*g,count:g},y:{buffer:s.buffer,offset:T*g,count:g}},A.bounds=h(s.bounds,T,k)),o.domain||o.viewport||o.data){var S=d?h(s.padding,T,k):s.padding;if(s.domain){var E=h(s.domain,T,k),L=E[0],C=E[1],P=E[2],I=E[3];A.viewport=[x+L*v+S[0],b+C*y+S[1],x+P*v-S[2],b+I*y-S[3]]}else A.viewport=[x+k*_+_*S[0],b+T*w+w*S[1],x+(k+1)*_-_*S[2],b+(T+1)*w-w*S[3]]}o.color&&(A.color=s.color),o.size&&(A.size=s.size),o.marker&&(A.marker=s.marker),o.borderSize&&(A.borderSize=s.borderSize),o.borderColor&&(A.borderColor=s.borderColor),o.opacity&&(A.opacity=s.opacity),o.range&&(A.range=n?h(s.range,T,k):s.range||A.bounds),s.passes.push(M)}return this},u.prototype.draw=function(){for(var t,e=[],r=arguments.length;r--;)e[r]=arguments[r];if(e.length){for(var n=[],i=0;i<e.length;i++)if(\\\"number\\\"==typeof e[i]){var a=this.traces[e[i]],o=a.passes,l=a.passOffset;n.push.apply(n,s(l,l+o.length))}else if(e[i].length){var c=e[i],u=this.traces[i],f=u.passes,h=u.passOffset;f=f.map((function(t,e){n[h+e]=c}))}(t=this.scatter).draw.apply(t,n)}else this.scatter.draw();return this},u.prototype.destroy=function(){return 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i=Math.log(i),new h(t.zoomMin,t.zoomMax,e,r,n,i,a,u)};var n=t(\\\"filtered-vector\\\"),i=t(\\\"gl-mat4/invert\\\"),a=t(\\\"gl-mat4/rotate\\\"),o=t(\\\"gl-vec3/cross\\\"),s=t(\\\"gl-vec3/normalize\\\"),l=t(\\\"gl-vec3/dot\\\");function c(t,e,r){return Math.sqrt(Math.pow(t,2)+Math.pow(e,2)+Math.pow(r,2))}function u(t){return Math.min(1,Math.max(-1,t))}function f(t){var e=Math.abs(t[0]),r=Math.abs(t[1]),n=Math.abs(t[2]),i=[0,0,0];e>Math.max(r,n)?i[2]=1:r>Math.max(e,n)?i[0]=1:i[1]=1;for(var a=0,o=0,l=0;l<3;++l)a+=t[l]*t[l],o+=i[l]*t[l];for(l=0;l<3;++l)i[l]-=o/a*t[l];return s(i,i),i}function 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e=this.computedUp,r=this.computedRight,n=0,i=0,a=0;a<3;++a)i+=e[a]*r[a],n+=e[a]*e[a];var l=Math.sqrt(n),u=0;for(a=0;a<3;++a)r[a]-=e[a]*i/n,u+=r[a]*r[a],e[a]/=l;var f=Math.sqrt(u);for(a=0;a<3;++a)r[a]/=f;var h=this.computedToward;o(h,e,r),s(h,h);var p=Math.exp(this.computedRadius[0]),d=this.computedAngle[0],m=this.computedAngle[1],g=Math.cos(d),v=Math.sin(d),y=Math.cos(m),x=Math.sin(m),b=this.computedCenter,_=g*y,w=v*y,T=x,k=-g*x,M=-v*x,A=y,S=this.computedEye,E=this.computedMatrix;for(a=0;a<3;++a){var L=_*r[a]+w*h[a]+T*e[a];E[4*a+1]=k*r[a]+M*h[a]+A*e[a],E[4*a+2]=L,E[4*a+3]=0}var C=E[1],P=E[5],I=E[9],O=E[2],z=E[6],D=E[10],R=P*D-I*z,F=I*O-C*D,B=C*z-P*O,N=c(R,F,B);R/=N,F/=N,B/=N,E[0]=R,E[4]=F,E[8]=B;for(a=0;a<3;++a)S[a]=b[a]+E[2+4*a]*p;for(a=0;a<3;++a){u=0;for(var j=0;j<3;++j)u+=E[a+4*j]*S[j];E[12+a]=-u}E[15]=1},p.getMatrix=function(t,e){this.recalcMatrix(t);var r=this.computedMatrix;if(e){for(var n=0;n<16;++n)e[n]=r[n];return e}return r};var d=[0,0,0];p.rotate=function(t,e,r,n){if(this.angle.move(t,e,r),n){this.recalcMatrix(t);var i=this.computedMatrix;d[0]=i[2],d[1]=i[6],d[2]=i[10];for(var o=this.computedUp,s=this.computedRight,l=this.computedToward,c=0;c<3;++c)i[4*c]=o[c],i[4*c+1]=s[c],i[4*c+2]=l[c];a(i,i,n,d);for(c=0;c<3;++c)o[c]=i[4*c],s[c]=i[4*c+1];this.up.set(t,o[0],o[1],o[2]),this.right.set(t,s[0],s[1],s[2])}},p.pan=function(t,e,r,n){e=e||0,r=r||0,n=n||0,this.recalcMatrix(t);var i=this.computedMatrix,a=(Math.exp(this.computedRadius[0]),i[1]),o=i[5],s=i[9],l=c(a,o,s);a/=l,o/=l,s/=l;var u=i[0],f=i[4],h=i[8],p=u*a+f*o+h*s,d=c(u-=a*p,f-=o*p,h-=s*p),m=(u/=d)*e+a*r,g=(f/=d)*e+o*r,v=(h/=d)*e+s*r;this.center.move(t,m,g,v);var y=Math.exp(this.computedRadius[0]);y=Math.max(1e-4,y+n),this.radius.set(t,Math.log(y))},p.translate=function(t,e,r,n){this.center.move(t,e||0,r||0,n||0)},p.setMatrix=function(t,e,r,n){var a=1;\\\"number\\\"==typeof r&&(a=0|r),(a<0||a>3)&&(a=1);var o=(a+2)%3;e||(this.recalcMatrix(t),e=this.computedMatrix);var s=e[a],l=e[a+4],f=e[a+8];if(n){var h=Math.abs(s),p=Math.abs(l),d=Math.abs(f),m=Math.max(h,p,d);h===m?(s=s<0?-1:1,l=f=0):d===m?(f=f<0?-1:1,s=l=0):(l=l<0?-1:1,s=f=0)}else{var g=c(s,l,f);s/=g,l/=g,f/=g}var v,y,x=e[o],b=e[o+4],_=e[o+8],w=x*s+b*l+_*f,T=c(x-=s*w,b-=l*w,_-=f*w),k=l*(_/=T)-f*(b/=T),M=f*(x/=T)-s*_,A=s*b-l*x,S=c(k,M,A);if(k/=S,M/=S,A/=S,this.center.jump(t,H,G,Y),this.radius.idle(t),this.up.jump(t,s,l,f),this.right.jump(t,x,b,_),2===a){var E=e[1],L=e[5],C=e[9],P=E*x+L*b+C*_,I=E*k+L*M+C*A;v=R<0?-Math.PI/2:Math.PI/2,y=Math.atan2(I,P)}else{var O=e[2],z=e[6],D=e[10],R=O*s+z*l+D*f,F=O*x+z*b+D*_,B=O*k+z*M+D*A;v=Math.asin(u(R)),y=Math.atan2(B,F)}this.angle.jump(t,y,v),this.recalcMatrix(t);var N=e[2],j=e[6],U=e[10],V=this.computedMatrix;i(V,e);var q=V[15],H=V[12]/q,G=V[13]/q,Y=V[14]/q,W=Math.exp(this.computedRadius[0]);this.center.jump(t,H-N*W,G-j*W,Y-U*W)},p.lastT=function(){return 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b=a*v-o*g,_=o*m-i*v,w=i*g-a*m,T=c(b,_,w),k=i*l+a*f+o*h,M=m*l+g*f+v*h,A=(b/=T)*l+(_/=T)*f+(w/=T)*h,S=Math.asin(u(k)),E=Math.atan2(A,M),L=this.angle._state,C=L[L.length-1],P=L[L.length-2];C%=2*Math.PI;var I=Math.abs(C+2*Math.PI-E),O=Math.abs(C-E),z=Math.abs(C-2*Math.PI-E);I<O&&(C+=2*Math.PI),z<O&&(C-=2*Math.PI),this.angle.jump(this.angle.lastT(),C,P),this.angle.set(t,E,S)}}}}},{\\\"filtered-vector\\\":242,\\\"gl-mat4/invert\\\":291,\\\"gl-mat4/rotate\\\":297,\\\"gl-vec3/cross\\\":360,\\\"gl-vec3/dot\\\":365,\\\"gl-vec3/normalize\\\":382}],596:[function(t,e,r){\\\"use strict\\\";e.exports=function(t,e,r){var i=t*e,a=n*t,o=a-(a-t),s=t-o,l=n*e,c=l-(l-e),u=e-c,f=s*u-(i-o*c-s*c-o*u);if(r)return r[0]=f,r[1]=i,r;return[f,i]};var n=+(Math.pow(2,27)+1)},{}],597:[function(t,e,r){\\\"use strict\\\";e.exports=function(t,e,r){var n=t+e,i=n-t,a=e-i,o=t-(n-i);if(r)return r[0]=o+a,r[1]=n,r;return[o+a,n]}},{}],598:[function(t,e,r){\\\"use strict\\\";var 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n.add(-n.dayOfWeek(),\\\"d\\\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(13===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return(t=i.year())<0&&t++,i.day()+30*(i.month()-1)+365*(t-1)+Math.floor(t/4)+this.jdEpoch-1},fromJD:function(t){var e=Math.floor(t)+.5-this.jdEpoch,r=Math.floor((e-Math.floor((e+366)/1461))/365)+1;r<=0&&r--,e=Math.floor(t)+.5-this.newDate(r,1,1).toJD();var n=Math.floor(e/30)+1,i=e-30*(n-1)+1;return this.newDate(r,n,i)}}),n.calendars.coptic=a},{\\\"../main\\\":636,\\\"object-assign\\\":479}],624:[function(t,e,r){var n=t(\\\"../main\\\"),i=t(\\\"object-assign\\\");function a(t){this.local=this.regionalOptions[t||\\\"\\\"]||this.regionalOptions[\\\"\\\"]}a.prototype=new 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this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),!1},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),13},daysInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),400},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\\\"d\\\"),Math.floor((n.dayOfYear()-1)/8)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]},daysInWeek:function(){return 8},dayOfWeek:function(t,e,r){return(this._validate(t,e,r,n.local.invalidDate).day()+1)%8},weekDay:function(t,e,r){var n=this.dayOfWeek(t,e,r);return n>=2&&n<=6},extraInfo:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return{century:o[Math.floor((i.year()-1)/100)+1]||\\\"\\\"}},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return t=i.year()+(i.year()<0?1:0),e=i.month(),(r=i.day())+(e>1?16:0)+(e>2?32*(e-2):0)+400*(t-1)+this.jdEpoch-1},fromJD:function(t){t=Math.floor(t+.5)-Math.floor(this.jdEpoch)-1;var e=Math.floor(t/400)+1;t-=400*(e-1),t+=t>15?16:0;var r=Math.floor(t/32)+1,n=t-32*(r-1)+1;return this.newDate(e<=0?e-1:e,r,n)}});var o={20:\\\"Fruitbat\\\",21:\\\"Anchovy\\\"};n.calendars.discworld=a},{\\\"../main\\\":636,\\\"object-assign\\\":479}],625:[function(t,e,r){var n=t(\\\"../main\\\"),i=t(\\\"object-assign\\\");function a(t){this.local=this.regionalOptions[t||\\\"\\\"]||this.regionalOptions[\\\"\\\"]}a.prototype=new n.baseCalendar,i(a.prototype,{name:\\\"Ethiopian\\\",jdEpoch:1724220.5,daysPerMonth:[30,30,30,30,30,30,30,30,30,30,30,30,5],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\\\"\\\":{name:\\\"Ethiopian\\\",epochs:[\\\"BEE\\\",\\\"EE\\\"],monthNames:[\\\"Meskerem\\\",\\\"Tikemet\\\",\\\"Hidar\\\",\\\"Tahesas\\\",\\\"Tir\\\",\\\"Yekatit\\\",\\\"Megabit\\\",\\\"Miazia\\\",\\\"Genbot\\\",\\\"Sene\\\",\\\"Hamle\\\",\\\"Nehase\\\",\\\"Pagume\\\"],monthNamesShort:[\\\"Mes\\\",\\\"Tik\\\",\\\"Hid\\\",\\\"Tah\\\",\\\"Tir\\\",\\\"Yek\\\",\\\"Meg\\\",\\\"Mia\\\",\\\"Gen\\\",\\\"Sen\\\",\\\"Ham\\\",\\\"Neh\\\",\\\"Pag\\\"],dayNames:[\\\"Ehud\\\",\\\"Segno\\\",\\\"Maksegno\\\",\\\"Irob\\\",\\\"Hamus\\\",\\\"Arb\\\",\\\"Kidame\\\"],dayNamesShort:[\\\"Ehu\\\",\\\"Seg\\\",\\\"Mak\\\",\\\"Iro\\\",\\\"Ham\\\",\\\"Arb\\\",\\\"Kid\\\"],dayNamesMin:[\\\"Eh\\\",\\\"Se\\\",\\\"Ma\\\",\\\"Ir\\\",\\\"Ha\\\",\\\"Ar\\\",\\\"Ki\\\"],digits:null,dateFormat:\\\"dd/mm/yyyy\\\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return(t=e.year()+(e.year()<0?1:0))%4==3||t%4==-1},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear||n.regionalOptions[\\\"\\\"].invalidYear),13},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\\\"d\\\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(13===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return(t=i.year())<0&&t++,i.day()+30*(i.month()-1)+365*(t-1)+Math.floor(t/4)+this.jdEpoch-1},fromJD:function(t){var e=Math.floor(t)+.5-this.jdEpoch,r=Math.floor((e-Math.floor((e+366)/1461))/365)+1;r<=0&&r--,e=Math.floor(t)+.5-this.newDate(r,1,1).toJD();var n=Math.floor(e/30)+1,i=e-30*(n-1)+1;return this.newDate(r,n,i)}}),n.calendars.ethiopian=a},{\\\"../main\\\":636,\\\"object-assign\\\":479}],626:[function(t,e,r){var n=t(\\\"../main\\\"),i=t(\\\"object-assign\\\");function a(t){this.local=this.regionalOptions[t||\\\"\\\"]||this.regionalOptions[\\\"\\\"]}function o(t,e){return t-e*Math.floor(t/e)}a.prototype=new n.baseCalendar,i(a.prototype,{name:\\\"Hebrew\\\",jdEpoch:347995.5,daysPerMonth:[30,29,30,29,30,29,30,29,30,29,30,29,29],hasYearZero:!1,minMonth:1,firstMonth:7,minDay:1,regionalOptions:{\\\"\\\":{name:\\\"Hebrew\\\",epochs:[\\\"BAM\\\",\\\"AM\\\"],monthNames:[\\\"Nisan\\\",\\\"Iyar\\\",\\\"Sivan\\\",\\\"Tammuz\\\",\\\"Av\\\",\\\"Elul\\\",\\\"Tishrei\\\",\\\"Cheshvan\\\",\\\"Kislev\\\",\\\"Tevet\\\",\\\"Shevat\\\",\\\"Adar\\\",\\\"Adar II\\\"],monthNamesShort:[\\\"Nis\\\",\\\"Iya\\\",\\\"Siv\\\",\\\"Tam\\\",\\\"Av\\\",\\\"Elu\\\",\\\"Tis\\\",\\\"Che\\\",\\\"Kis\\\",\\\"Tev\\\",\\\"She\\\",\\\"Ada\\\",\\\"Ad2\\\"],dayNames:[\\\"Yom Rishon\\\",\\\"Yom Sheni\\\",\\\"Yom Shlishi\\\",\\\"Yom Revi'i\\\",\\\"Yom Chamishi\\\",\\\"Yom Shishi\\\",\\\"Yom Shabbat\\\"],dayNamesShort:[\\\"Ris\\\",\\\"She\\\",\\\"Shl\\\",\\\"Rev\\\",\\\"Cha\\\",\\\"Shi\\\",\\\"Sha\\\"],dayNamesMin:[\\\"Ri\\\",\\\"She\\\",\\\"Shl\\\",\\\"Re\\\",\\\"Ch\\\",\\\"Shi\\\",\\\"Sha\\\"],digits:null,dateFormat:\\\"dd/mm/yyyy\\\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return this._leapYear(e.year())},_leapYear:function(t){return o(7*(t=t<0?t+1:t)+1,19)<7},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),this._leapYear(t.year?t.year():t)?13:12},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\\\"d\\\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){return t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year(),this.toJD(-1===t?1:t+1,7,1)-this.toJD(t,7,1)},daysInMonth:function(t,e){return t.year&&(e=t.month(),t=t.year()),this._validate(t,e,this.minDay,n.local.invalidMonth),12===e&&this.leapYear(t)||8===e&&5===o(this.daysInYear(t),10)?30:9===e&&3===o(this.daysInYear(t),10)?29:this.daysPerMonth[e-1]},weekDay:function(t,e,r){return 6!==this.dayOfWeek(t,e,r)},extraInfo:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return{yearType:(this.leapYear(i)?\\\"embolismic\\\":\\\"common\\\")+\\\" \\\"+[\\\"deficient\\\",\\\"regular\\\",\\\"complete\\\"][this.daysInYear(i)%10-3]}},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=i.year(),e=i.month(),r=i.day();var a=t<=0?t+1:t,o=this.jdEpoch+this._delay1(a)+this._delay2(a)+r+1;if(e<7){for(var s=7;s<=this.monthsInYear(t);s++)o+=this.daysInMonth(t,s);for(s=1;s<e;s++)o+=this.daysInMonth(t,s)}else for(s=7;s<e;s++)o+=this.daysInMonth(t,s);return o},_delay1:function(t){var e=Math.floor((235*t-234)/19),r=12084+13753*e,n=29*e+Math.floor(r/25920);return o(3*(n+1),7)<3&&n++,n},_delay2:function(t){var e=this._delay1(t-1),r=this._delay1(t);return this._delay1(t+1)-r==356?2:r-e==382?1:0},fromJD:function(t){t=Math.floor(t)+.5;for(var e=Math.floor(98496*(t-this.jdEpoch)/35975351)-1;t>=this.toJD(-1===e?1:e+1,7,1);)e++;for(var r=t<this.toJD(e,1,1)?7:1;t>this.toJD(e,r,this.daysInMonth(e,r));)r++;var n=t-this.toJD(e,r,1)+1;return this.newDate(e,r,n)}}),n.calendars.hebrew=a},{\\\"../main\\\":636,\\\"object-assign\\\":479}],627:[function(t,e,r){var n=t(\\\"../main\\\"),i=t(\\\"object-assign\\\");function a(t){this.local=this.regionalOptions[t||\\\"\\\"]||this.regionalOptions[\\\"\\\"]}a.prototype=new n.baseCalendar,i(a.prototype,{name:\\\"Islamic\\\",jdEpoch:1948439.5,daysPerMonth:[30,29,30,29,30,29,30,29,30,29,30,29],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\\\"\\\":{name:\\\"Islamic\\\",epochs:[\\\"BH\\\",\\\"AH\\\"],monthNames:[\\\"Muharram\\\",\\\"Safar\\\",\\\"Rabi' al-awwal\\\",\\\"Rabi' al-thani\\\",\\\"Jumada al-awwal\\\",\\\"Jumada al-thani\\\",\\\"Rajab\\\",\\\"Sha'aban\\\",\\\"Ramadan\\\",\\\"Shawwal\\\",\\\"Dhu al-Qi'dah\\\",\\\"Dhu al-Hijjah\\\"],monthNamesShort:[\\\"Muh\\\",\\\"Saf\\\",\\\"Rab1\\\",\\\"Rab2\\\",\\\"Jum1\\\",\\\"Jum2\\\",\\\"Raj\\\",\\\"Sha'\\\",\\\"Ram\\\",\\\"Shaw\\\",\\\"DhuQ\\\",\\\"DhuH\\\"],dayNames:[\\\"Yawm al-ahad\\\",\\\"Yawm al-ithnayn\\\",\\\"Yawm ath-thulaathaa'\\\",\\\"Yawm al-arbi'aa'\\\",\\\"Yawm al-kham\\\\u012bs\\\",\\\"Yawm al-jum'a\\\",\\\"Yawm as-sabt\\\"],dayNamesShort:[\\\"Aha\\\",\\\"Ith\\\",\\\"Thu\\\",\\\"Arb\\\",\\\"Kha\\\",\\\"Jum\\\",\\\"Sab\\\"],dayNamesMin:[\\\"Ah\\\",\\\"It\\\",\\\"Th\\\",\\\"Ar\\\",\\\"Kh\\\",\\\"Ju\\\",\\\"Sa\\\"],digits:null,dateFormat:\\\"yyyy/mm/dd\\\",firstDay:6,isRTL:!1}},leapYear:function(t){return(11*this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year()+14)%30<11},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\\\"d\\\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){return this.leapYear(t)?355:354},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return t=i.year(),e=i.month(),t=t<=0?t+1:t,(r=i.day())+Math.ceil(29.5*(e-1))+354*(t-1)+Math.floor((3+11*t)/30)+this.jdEpoch-1},fromJD:function(t){t=Math.floor(t)+.5;var e=Math.floor((30*(t-this.jdEpoch)+10646)/10631);e=e<=0?e-1:e;var r=Math.min(12,Math.ceil((t-29-this.toJD(e,1,1))/29.5)+1),n=t-this.toJD(e,r,1)+1;return this.newDate(e,r,n)}}),n.calendars.islamic=a},{\\\"../main\\\":636,\\\"object-assign\\\":479}],628:[function(t,e,r){var n=t(\\\"../main\\\"),i=t(\\\"object-assign\\\");function a(t){this.local=this.regionalOptions[t||\\\"\\\"]||this.regionalOptions[\\\"\\\"]}a.prototype=new n.baseCalendar,i(a.prototype,{name:\\\"Julian\\\",jdEpoch:1721423.5,daysPerMonth:[31,28,31,30,31,30,31,31,30,31,30,31],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\\\"\\\":{name:\\\"Julian\\\",epochs:[\\\"BC\\\",\\\"AD\\\"],monthNames:[\\\"January\\\",\\\"February\\\",\\\"March\\\",\\\"April\\\",\\\"May\\\",\\\"June\\\",\\\"July\\\",\\\"August\\\",\\\"September\\\",\\\"October\\\",\\\"November\\\",\\\"December\\\"],monthNamesShort:[\\\"Jan\\\",\\\"Feb\\\",\\\"Mar\\\",\\\"Apr\\\",\\\"May\\\",\\\"Jun\\\",\\\"Jul\\\",\\\"Aug\\\",\\\"Sep\\\",\\\"Oct\\\",\\\"Nov\\\",\\\"Dec\\\"],dayNames:[\\\"Sunday\\\",\\\"Monday\\\",\\\"Tuesday\\\",\\\"Wednesday\\\",\\\"Thursday\\\",\\\"Friday\\\",\\\"Saturday\\\"],dayNamesShort:[\\\"Sun\\\",\\\"Mon\\\",\\\"Tue\\\",\\\"Wed\\\",\\\"Thu\\\",\\\"Fri\\\",\\\"Sat\\\"],dayNamesMin:[\\\"Su\\\",\\\"Mo\\\",\\\"Tu\\\",\\\"We\\\",\\\"Th\\\",\\\"Fr\\\",\\\"Sa\\\"],digits:null,dateFormat:\\\"mm/dd/yyyy\\\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return(t=e.year()<0?e.year()+1:e.year())%4==0},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(4-(n.dayOfWeek()||7),\\\"d\\\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return t=i.year(),e=i.month(),r=i.day(),t<0&&t++,e<=2&&(t--,e+=12),Math.floor(365.25*(t+4716))+Math.floor(30.6001*(e+1))+r-1524.5},fromJD:function(t){var e=Math.floor(t+.5)+1524,r=Math.floor((e-122.1)/365.25),n=Math.floor(365.25*r),i=Math.floor((e-n)/30.6001),a=i-Math.floor(i<14?1:13),o=r-Math.floor(a>2?4716:4715),s=e-n-Math.floor(30.6001*i);return o<=0&&o--,this.newDate(o,a,s)}}),n.calendars.julian=a},{\\\"../main\\\":636,\\\"object-assign\\\":479}],629:[function(t,e,r){var n=t(\\\"../main\\\"),i=t(\\\"object-assign\\\");function a(t){this.local=this.regionalOptions[t||\\\"\\\"]||this.regionalOptions[\\\"\\\"]}function o(t,e){return t-e*Math.floor(t/e)}function s(t,e){return o(t-1,e)+1}a.prototype=new n.baseCalendar,i(a.prototype,{name:\\\"Mayan\\\",jdEpoch:584282.5,hasYearZero:!0,minMonth:0,firstMonth:0,minDay:0,regionalOptions:{\\\"\\\":{name:\\\"Mayan\\\",epochs:[\\\"\\\",\\\"\\\"],monthNames:[\\\"0\\\",\\\"1\\\",\\\"2\\\",\\\"3\\\",\\\"4\\\",\\\"5\\\",\\\"6\\\",\\\"7\\\",\\\"8\\\",\\\"9\\\",\\\"10\\\",\\\"11\\\",\\\"12\\\",\\\"13\\\",\\\"14\\\",\\\"15\\\",\\\"16\\\",\\\"17\\\"],monthNamesShort:[\\\"0\\\",\\\"1\\\",\\\"2\\\",\\\"3\\\",\\\"4\\\",\\\"5\\\",\\\"6\\\",\\\"7\\\",\\\"8\\\",\\\"9\\\",\\\"10\\\",\\\"11\\\",\\\"12\\\",\\\"13\\\",\\\"14\\\",\\\"15\\\",\\\"16\\\",\\\"17\\\"],dayNames:[\\\"0\\\",\\\"1\\\",\\\"2\\\",\\\"3\\\",\\\"4\\\",\\\"5\\\",\\\"6\\\",\\\"7\\\",\\\"8\\\",\\\"9\\\",\\\"10\\\",\\\"11\\\",\\\"12\\\",\\\"13\\\",\\\"14\\\",\\\"15\\\",\\\"16\\\",\\\"17\\\",\\\"18\\\",\\\"19\\\"],dayNamesShort:[\\\"0\\\",\\\"1\\\",\\\"2\\\",\\\"3\\\",\\\"4\\\",\\\"5\\\",\\\"6\\\",\\\"7\\\",\\\"8\\\",\\\"9\\\",\\\"10\\\",\\\"11\\\",\\\"12\\\",\\\"13\\\",\\\"14\\\",\\\"15\\\",\\\"16\\\",\\\"17\\\",\\\"18\\\",\\\"19\\\"],dayNamesMin:[\\\"0\\\",\\\"1\\\",\\\"2\\\",\\\"3\\\",\\\"4\\\",\\\"5\\\",\\\"6\\\",\\\"7\\\",\\\"8\\\",\\\"9\\\",\\\"10\\\",\\\"11\\\",\\\"12\\\",\\\"13\\\",\\\"14\\\",\\\"15\\\",\\\"16\\\",\\\"17\\\",\\\"18\\\",\\\"19\\\"],digits:null,dateFormat:\\\"YYYY.m.d\\\",firstDay:0,isRTL:!1,haabMonths:[\\\"Pop\\\",\\\"Uo\\\",\\\"Zip\\\",\\\"Zotz\\\",\\\"Tzec\\\",\\\"Xul\\\",\\\"Yaxkin\\\",\\\"Mol\\\",\\\"Chen\\\",\\\"Yax\\\",\\\"Zac\\\",\\\"Ceh\\\",\\\"Mac\\\",\\\"Kankin\\\",\\\"Muan\\\",\\\"Pax\\\",\\\"Kayab\\\",\\\"Cumku\\\",\\\"Uayeb\\\"],tzolkinMonths:[\\\"Imix\\\",\\\"Ik\\\",\\\"Akbal\\\",\\\"Kan\\\",\\\"Chicchan\\\",\\\"Cimi\\\",\\\"Manik\\\",\\\"Lamat\\\",\\\"Muluc\\\",\\\"Oc\\\",\\\"Chuen\\\",\\\"Eb\\\",\\\"Ben\\\",\\\"Ix\\\",\\\"Men\\\",\\\"Cib\\\",\\\"Caban\\\",\\\"Etznab\\\",\\\"Cauac\\\",\\\"Ahau\\\"]}},leapYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),!1},formatYear:function(t){t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year();var e=Math.floor(t/400);return t%=400,t+=t<0?400:0,e+\\\".\\\"+Math.floor(t/20)+\\\".\\\"+t%20},forYear:function(t){if((t=t.split(\\\".\\\")).length<3)throw\\\"Invalid Mayan year\\\";for(var e=0,r=0;r<t.length;r++){var n=parseInt(t[r],10);if(Math.abs(n)>19||r>0&&n<0)throw\\\"Invalid Mayan year\\\";e=20*e+n}return e},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),18},weekOfYear:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate),0},daysInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),360},daysInMonth:function(t,e){return this._validate(t,e,this.minDay,n.local.invalidMonth),20},daysInWeek:function(){return 5},dayOfWeek:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate).day()},weekDay:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate),!0},extraInfo:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate).toJD(),a=this._toHaab(i),o=this._toTzolkin(i);return{haabMonthName:this.local.haabMonths[a[0]-1],haabMonth:a[0],haabDay:a[1],tzolkinDayName:this.local.tzolkinMonths[o[0]-1],tzolkinDay:o[0],tzolkinTrecena:o[1]}},_toHaab:function(t){var e=o((t-=this.jdEpoch)+8+340,365);return[Math.floor(e/20)+1,o(e,20)]},_toTzolkin:function(t){return[s((t-=this.jdEpoch)+20,20),s(t+4,13)]},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return i.day()+20*i.month()+360*i.year()+this.jdEpoch},fromJD:function(t){t=Math.floor(t)+.5-this.jdEpoch;var e=Math.floor(t/360);t%=360,t+=t<0?360:0;var r=Math.floor(t/20),n=t%20;return this.newDate(e,r,n)}}),n.calendars.mayan=a},{\\\"../main\\\":636,\\\"object-assign\\\":479}],630:[function(t,e,r){var n=t(\\\"../main\\\"),i=t(\\\"object-assign\\\");function a(t){this.local=this.regionalOptions[t||\\\"\\\"]||this.regionalOptions[\\\"\\\"]}a.prototype=new n.baseCalendar;var o=n.instance(\\\"gregorian\\\");i(a.prototype,{name:\\\"Nanakshahi\\\",jdEpoch:2257673.5,daysPerMonth:[31,31,31,31,31,30,30,30,30,30,30,30],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\\\"\\\":{name:\\\"Nanakshahi\\\",epochs:[\\\"BN\\\",\\\"AN\\\"],monthNames:[\\\"Chet\\\",\\\"Vaisakh\\\",\\\"Jeth\\\",\\\"Harh\\\",\\\"Sawan\\\",\\\"Bhadon\\\",\\\"Assu\\\",\\\"Katak\\\",\\\"Maghar\\\",\\\"Poh\\\",\\\"Magh\\\",\\\"Phagun\\\"],monthNamesShort:[\\\"Che\\\",\\\"Vai\\\",\\\"Jet\\\",\\\"Har\\\",\\\"Saw\\\",\\\"Bha\\\",\\\"Ass\\\",\\\"Kat\\\",\\\"Mgr\\\",\\\"Poh\\\",\\\"Mgh\\\",\\\"Pha\\\"],dayNames:[\\\"Somvaar\\\",\\\"Mangalvar\\\",\\\"Budhvaar\\\",\\\"Veervaar\\\",\\\"Shukarvaar\\\",\\\"Sanicharvaar\\\",\\\"Etvaar\\\"],dayNamesShort:[\\\"Som\\\",\\\"Mangal\\\",\\\"Budh\\\",\\\"Veer\\\",\\\"Shukar\\\",\\\"Sanichar\\\",\\\"Et\\\"],dayNamesMin:[\\\"So\\\",\\\"Ma\\\",\\\"Bu\\\",\\\"Ve\\\",\\\"Sh\\\",\\\"Sa\\\",\\\"Et\\\"],digits:null,dateFormat:\\\"dd-mm-yyyy\\\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear||n.regionalOptions[\\\"\\\"].invalidYear);return o.leapYear(e.year()+(e.year()<1?1:0)+1469)},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(1-(n.dayOfWeek()||7),\\\"d\\\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidMonth);(t=i.year())<0&&t++;for(var a=i.day(),s=1;s<i.month();s++)a+=this.daysPerMonth[s-1];return a+o.toJD(t+1468,3,13)},fromJD:function(t){t=Math.floor(t+.5);for(var e=Math.floor((t-(this.jdEpoch-1))/366);t>=this.toJD(e+1,1,1);)e++;for(var r=t-Math.floor(this.toJD(e,1,1)+.5)+1,n=1;r>this.daysInMonth(e,n);)r-=this.daysInMonth(e,n),n++;return this.newDate(e,n,r)}}),n.calendars.nanakshahi=a},{\\\"../main\\\":636,\\\"object-assign\\\":479}],631:[function(t,e,r){var n=t(\\\"../main\\\"),i=t(\\\"object-assign\\\");function a(t){this.local=this.regionalOptions[t||\\\"\\\"]||this.regionalOptions[\\\"\\\"]}a.prototype=new 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this.daysInYear(t)!==this.daysPerYear},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\\\"d\\\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){if(t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year(),void 0===this.NEPALI_CALENDAR_DATA[t])return this.daysPerYear;for(var e=0,r=this.minMonth;r<=12;r++)e+=this.NEPALI_CALENDAR_DATA[t][r];return e},daysInMonth:function(t,e){return t.year&&(e=t.month(),t=t.year()),this._validate(t,e,this.minDay,n.local.invalidMonth),void 0===this.NEPALI_CALENDAR_DATA[t]?this.daysPerMonth[e-1]:this.NEPALI_CALENDAR_DATA[t][e]},weekDay:function(t,e,r){return 6!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=i.year(),e=i.month(),r=i.day();var a=n.instance(),o=0,s=e,l=t;this._createMissingCalendarData(t);var c=t-(s>9||9===s&&r>=this.NEPALI_CALENDAR_DATA[l][0]?56:57);for(9!==e&&(o=r,s--);9!==s;)s<=0&&(s=12,l--),o+=this.NEPALI_CALENDAR_DATA[l][s],s--;return 9===e?(o+=r-this.NEPALI_CALENDAR_DATA[l][0])<0&&(o+=a.daysInYear(c)):o+=this.NEPALI_CALENDAR_DATA[l][9]-this.NEPALI_CALENDAR_DATA[l][0],a.newDate(c,1,1).add(o,\\\"d\\\").toJD()},fromJD:function(t){var e=n.instance().fromJD(t),r=e.year(),i=e.dayOfYear(),a=r+56;this._createMissingCalendarData(a);for(var o=9,s=this.NEPALI_CALENDAR_DATA[a][0],l=this.NEPALI_CALENDAR_DATA[a][o]-s+1;i>l;)++o>12&&(o=1,a++),l+=this.NEPALI_CALENDAR_DATA[a][o];var c=this.NEPALI_CALENDAR_DATA[a][o]-(l-i);return this.newDate(a,o,c)},_createMissingCalendarData:function(t){var e=this.daysPerMonth.slice(0);e.unshift(17);for(var r=t-1;r<t+2;r++)void 0===this.NEPALI_CALENDAR_DATA[r]&&(this.NEPALI_CALENDAR_DATA[r]=e)},NEPALI_CALENDAR_DATA:{1970:[18,31,31,32,31,31,31,30,29,30,29,30,30],1971:[18,31,31,32,31,32,30,30,29,30,29,30,30],1972:[17,31,32,31,32,31,30,30,30,29,29,30,30],1973:[19,30,32,31,32,31,30,30,30,29,30,29,31],1974:[19,31,31,32,30,31,31,30,29,30,29,30,30],1975:[18,31,31,32,32,30,31,30,29,30,29,30,30],1976:[17,31,32,31,32,31,30,30,30,29,29,30,31],1977:[18,31,32,31,32,31,31,29,30,29,30,29,31],1978:[18,31,31,32,31,31,31,30,29,30,29,30,30],1979:[18,31,31,32,32,31,30,30,29,30,29,30,30],1980:[17,31,32,31,32,31,30,30,30,29,29,30,31],1981:[18,31,31,31,32,31,31,29,30,30,29,30,30],1982:[18,31,31,32,31,31,31,30,29,30,29,30,30],1983:[18,31,31,32,32,31,30,30,29,30,29,30,30],1984:[17,31,32,31,32,31,30,30,30,29,29,30,31],1985:[18,31,31,31,32,31,31,29,30,30,29,30,30],1986:[18,31,31,32,31,31,31,30,29,30,29,30,30],1987:[18,31,32,31,32,31,30,30,29,30,29,30,30],1988:[17,31,32,31,32,31,30,30,30,29,29,30,31],1989:[18,31,31,31,32,31,31,30,29,30,29,30,30],1990:[18,31,31,32,31,31,31,30,29,30,29,30,30],1991:[18,31,32,31,32,31,30,30,29,30,29,30,30],1992:[17,31,32,31,32,31,30,30,30,29,30,29,31],1993:[18,31,31,31,32,31,31,30,29,30,29,30,30],1994:[18,31,31,32,31,31,31,30,29,30,29,30,30],1995:[17,31,32,31,32,31,30,30,30,29,29,30,30],1996:[17,31,32,31,32,31,30,30,30,29,30,29,31],1997:[18,31,31,32,31,31,31,30,29,30,29,30,30],1998:[18,31,31,32,31,31,31,30,29,30,29,30,30],1999:[17,31,32,31,32,31,30,30,30,29,29,30,31],2e3:[17,30,32,31,32,31,30,30,30,29,30,29,31],2001:[18,31,31,32,31,31,31,30,29,30,29,30,30],2002:[18,31,31,32,32,31,30,30,29,30,29,30,30],2003:[17,31,32,31,32,31,30,30,30,29,29,30,31],2004:[17,30,32,31,32,31,30,30,30,29,30,29,31],2005:[18,31,31,32,31,31,31,30,29,30,29,30,30],2006:[18,31,31,32,32,31,30,30,29,30,29,30,30],2007:[17,31,32,31,32,31,30,30,30,29,29,30,31],2008:[17,31,31,31,32,31,31,29,30,30,29,29,31],2009:[18,31,31,32,31,31,31,30,29,30,29,30,30],2010:[18,31,31,32,32,31,30,30,29,30,29,30,30],2011:[17,31,32,31,32,31,30,30,30,29,29,30,31],2012:[17,31,31,31,32,31,31,29,30,30,29,30,30],2013:[18,31,31,32,31,31,31,30,29,30,29,30,30],2014:[18,31,31,32,32,31,30,30,29,30,29,30,30],2015:[17,31,32,31,32,31,30,30,30,29,29,30,31],2016:[17,31,31,31,32,31,31,29,30,30,29,30,30],2017:[18,31,31,32,31,31,31,30,29,30,29,30,30],2018:[18,31,32,31,32,31,30,30,29,30,29,30,30],2019:[17,31,32,31,32,31,30,30,30,29,30,29,31],2020:[17,31,31,31,32,31,31,30,29,30,29,30,30],2021:[18,31,31,32,31,31,31,30,29,30,29,30,30],2022:[17,31,32,31,32,31,30,30,30,29,29,30,30],2023:[17,31,32,31,32,31,30,30,30,29,30,29,31],2024:[17,31,31,31,32,31,31,30,29,30,29,30,30],2025:[18,31,31,32,31,31,31,30,29,30,29,30,30],2026:[17,31,32,31,32,31,30,30,30,29,29,30,31],2027:[17,30,32,31,32,31,30,30,30,29,30,29,31],2028:[17,31,31,32,31,31,31,30,29,30,29,30,30],2029:[18,31,31,32,31,32,30,30,29,30,29,30,30],2030:[17,31,32,31,32,31,30,30,30,30,30,30,31],2031:[17,31,32,31,32,31,31,31,31,31,31,31,31],2032:[17,32,32,32,32,32,32,32,32,32,32,32,32],2033:[18,31,31,32,32,31,30,30,29,30,29,30,30],2034:[17,31,32,31,32,31,30,30,30,29,29,30,31],2035:[17,30,32,31,32,31,31,29,30,30,29,29,31],2036:[17,31,31,32,31,31,31,30,29,30,29,30,30],2037:[18,31,31,32,32,31,30,30,29,30,29,30,30],2038:[17,31,32,31,32,31,30,30,30,29,29,30,31],2039:[17,31,31,31,32,31,31,29,30,30,29,30,30],2040:[17,31,31,32,31,31,31,30,29,30,29,30,30],2041:[18,31,31,32,32,31,30,30,29,30,29,30,30],2042:[17,31,32,31,32,31,30,30,30,29,29,30,31],2043:[17,31,31,31,32,31,31,29,30,30,29,30,30],2044:[17,31,31,32,31,31,31,30,29,30,29,30,30],2045:[18,31,32,31,32,31,30,30,29,30,29,30,30],2046:[17,31,32,31,32,31,30,30,30,29,29,30,31],2047:[17,31,31,31,32,31,31,30,29,30,29,30,30],2048:[17,31,31,32,31,31,31,30,29,30,29,30,30],2049:[17,31,32,31,32,31,30,30,30,29,29,30,30],2050:[17,31,32,31,32,31,30,30,30,29,30,29,31],2051:[17,31,31,31,32,31,31,30,29,30,29,30,30],2052:[17,31,31,32,31,31,31,30,29,30,29,30,30],2053:[17,31,32,31,32,31,30,30,30,29,29,30,30],2054:[17,31,32,31,32,31,30,30,30,29,30,29,31],2055:[17,31,31,32,31,31,31,30,29,30,30,29,30],2056:[17,31,31,32,31,32,30,30,29,30,29,30,30],2057:[17,31,32,31,32,31,30,30,30,29,29,30,31],2058:[17,30,32,31,32,31,30,30,30,29,30,29,31],2059:[17,31,31,32,31,31,31,30,29,30,29,30,30],2060:[17,31,31,32,32,31,30,30,29,30,29,30,30],2061:[17,31,32,31,32,31,30,30,30,29,29,30,31],2062:[17,30,32,31,32,31,31,29,30,29,30,29,31],2063:[17,31,31,32,31,31,31,30,29,30,29,30,30],2064:[17,31,31,32,32,31,30,30,29,30,29,30,30],2065:[17,31,32,31,32,31,30,30,30,29,29,30,31],2066:[17,31,31,31,32,31,31,29,30,30,29,29,31],2067:[17,31,31,32,31,31,31,30,29,30,29,30,30],2068:[17,31,31,32,32,31,30,30,29,30,29,30,30],2069:[17,31,32,31,32,31,30,30,30,29,29,30,31],2070:[17,31,31,31,32,31,31,29,30,30,29,30,30],2071:[17,31,31,32,31,31,31,30,29,30,29,30,30],2072:[17,31,32,31,32,31,30,30,29,30,29,30,30],2073:[17,31,32,31,32,31,30,30,30,29,29,30,31],2074:[17,31,31,31,32,31,31,30,29,30,29,30,30],2075:[17,31,31,32,31,31,31,30,29,30,29,30,30],2076:[16,31,32,31,32,31,30,30,30,29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e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return 682*((e.year()-(e.year()>0?474:473))%2820+474+38)%2816<682},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-(n.dayOfWeek()+1)%7,\\\"d\\\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=i.year(),e=i.month(),r=i.day();var a=t-(t>=0?474:473),s=474+o(a,2820);return r+(e<=7?31*(e-1):30*(e-1)+6)+Math.floor((682*s-110)/2816)+365*(s-1)+1029983*Math.floor(a/2820)+this.jdEpoch-1},fromJD:function(t){var e=(t=Math.floor(t)+.5)-this.toJD(475,1,1),r=Math.floor(e/1029983),n=o(e,1029983),i=2820;if(1029982!==n){var a=Math.floor(n/366),s=o(n,366);i=Math.floor((2134*a+2816*s+2815)/1028522)+a+1}var l=i+2820*r+474;l=l<=0?l-1:l;var 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e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);t=this._t2gYear(e.year());return a.leapYear(t)},weekOfYear:function(t,e,r){var i=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);t=this._t2gYear(i.year());return a.weekOfYear(t,i.month(),i.day())},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=this._t2gYear(i.year());return a.toJD(t,i.month(),i.day())},fromJD:function(t){var e=a.fromJD(t),r=this._g2tYear(e.year());return this.newDate(r,e.month(),e.day())},_t2gYear:function(t){return t+this.yearsOffset+(t>=-this.yearsOffset&&t<=-1?1:0)},_g2tYear:function(t){return 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e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);t=this._t2gYear(e.year());return a.leapYear(t)},weekOfYear:function(t,e,r){var i=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);t=this._t2gYear(i.year());return a.weekOfYear(t,i.month(),i.day())},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=this._t2gYear(i.year());return a.toJD(t,i.month(),i.day())},fromJD:function(t){var e=a.fromJD(t),r=this._g2tYear(e.year());return this.newDate(r,e.month(),e.day())},_t2gYear:function(t){return t-this.yearsOffset-(t>=1&&t<=this.yearsOffset?1:0)},_g2tYear:function(t){return t+this.yearsOffset+(t>=-this.yearsOffset&&t<=-1?1:0)}}),n.calendars.thai=o},{\\\"../main\\\":636,\\\"object-assign\\\":479}],635:[function(t,e,r){var n=t(\\\"../main\\\"),i=t(\\\"object-assign\\\");function a(t){this.local=this.regionalOptions[t||\\\"\\\"]||this.regionalOptions[\\\"\\\"]}a.prototype=new n.baseCalendar,i(a.prototype,{name:\\\"UmmAlQura\\\",hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\\\"\\\":{name:\\\"Umm al-Qura\\\",epochs:[\\\"BH\\\",\\\"AH\\\"],monthNames:[\\\"Al-Muharram\\\",\\\"Safar\\\",\\\"Rabi' al-awwal\\\",\\\"Rabi' Al-Thani\\\",\\\"Jumada Al-Awwal\\\",\\\"Jumada Al-Thani\\\",\\\"Rajab\\\",\\\"Sha'aban\\\",\\\"Ramadan\\\",\\\"Shawwal\\\",\\\"Dhu al-Qi'dah\\\",\\\"Dhu al-Hijjah\\\"],monthNamesShort:[\\\"Muh\\\",\\\"Saf\\\",\\\"Rab1\\\",\\\"Rab2\\\",\\\"Jum1\\\",\\\"Jum2\\\",\\\"Raj\\\",\\\"Sha'\\\",\\\"Ram\\\",\\\"Shaw\\\",\\\"DhuQ\\\",\\\"DhuH\\\"],dayNames:[\\\"Yawm al-Ahad\\\",\\\"Yawm al-Ithnain\\\",\\\"Yawm al-Thal\\\\u0101th\\\\u0101\\\\u2019\\\",\\\"Yawm al-Arba\\\\u2018\\\\u0101\\\\u2019\\\",\\\"Yawm al-Kham\\\\u012bs\\\",\\\"Yawm al-Jum\\\\u2018a\\\",\\\"Yawm al-Sabt\\\"],dayNamesMin:[\\\"Ah\\\",\\\"Ith\\\",\\\"Th\\\",\\\"Ar\\\",\\\"Kh\\\",\\\"Ju\\\",\\\"Sa\\\"],digits:null,dateFormat:\\\"yyyy/mm/dd\\\",firstDay:6,isRTL:!0}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return 355===this.daysInYear(e.year())},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\\\"d\\\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){for(var e=0,r=1;r<=12;r++)e+=this.daysInMonth(t,r);return e},daysInMonth:function(t,e){for(var r=this._validate(t,e,this.minDay,n.local.invalidMonth).toJD()-24e5+.5,i=0,a=0;a<o.length;a++){if(o[a]>r)return o[i]-o[i-1];i++}return 30},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate),a=12*(i.year()-1)+i.month()-15292;return i.day()+o[a-1]-1+24e5-.5},fromJD:function(t){for(var e=t-24e5+.5,r=0,n=0;n<o.length&&!(o[n]>e);n++)r++;var i=r+15292,a=Math.floor((i-1)/12),s=a+1,l=i-12*a,c=e-o[r-1]+1;return this.newDate(s,l,c)},isValid:function(t,e,r){var i=n.baseCalendar.prototype.isValid.apply(this,arguments);return i&&(i=(t=null!=t.year?t.year:t)>=1276&&t<=1500),i},_validate:function(t,e,r,i){var a=n.baseCalendar.prototype._validate.apply(this,arguments);if(a.year<1276||a.year>1500)throw i.replace(/\\\\{0\\\\}/,this.local.name);return a}}),n.calendars.ummalqura=a;var 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n=t(\\\"object-assign\\\");function i(){this.regionalOptions=[],this.regionalOptions[\\\"\\\"]={invalidCalendar:\\\"Calendar {0} not found\\\",invalidDate:\\\"Invalid {0} date\\\",invalidMonth:\\\"Invalid {0} month\\\",invalidYear:\\\"Invalid {0} year\\\",differentCalendars:\\\"Cannot mix {0} and {1} dates\\\"},this.local=this.regionalOptions[\\\"\\\"],this.calendars={},this._localCals={}}function a(t,e,r,n){if(this._calendar=t,this._year=e,this._month=r,this._day=n,0===this._calendar._validateLevel&&!this._calendar.isValid(this._year,this._month,this._day))throw(c.local.invalidDate||c.regionalOptions[\\\"\\\"].invalidDate).replace(/\\\\{0\\\\}/,this._calendar.local.name)}function o(t,e){return\\\"000000\\\".substring(0,e-(t=\\\"\\\"+t).length)+t}function s(){this.shortYearCutoff=\\\"+10\\\"}function l(t){this.local=this.regionalOptions[t]||this.regionalOptions[\\\"\\\"]}n(i.prototype,{instance:function(t,e){t=(t||\\\"gregorian\\\").toLowerCase(),e=e||\\\"\\\";var r=this._localCals[t+\\\"-\\\"+e];if(!r&&this.calendars[t]&&(r=new this.calendars[t](e),this._localCals[t+\\\"-\\\"+e]=r),!r)throw(this.local.invalidCalendar||this.regionalOptions[\\\"\\\"].invalidCalendar).replace(/\\\\{0\\\\}/,t);return r},newDate:function(t,e,r,n,i){return(n=(null!=t&&t.year?t.calendar():\\\"string\\\"==typeof n?this.instance(n,i):n)||this.instance()).newDate(t,e,r)},substituteDigits:function(t){return function(e){return(e+\\\"\\\").replace(/[0-9]/g,(function(e){return t[e]}))}},substituteChineseDigits:function(t,e){return function(r){for(var n=\\\"\\\",i=0;r>0;){var a=r%10;n=(0===a?\\\"\\\":t[a]+e[i])+n,i++,r=Math.floor(r/10)}return 0===n.indexOf(t[1]+e[1])&&(n=n.substr(1)),n||t[0]}}}),n(a.prototype,{newDate:function(t,e,r){return this._calendar.newDate(null==t?this:t,e,r)},year:function(t){return 0===arguments.length?this._year:this.set(t,\\\"y\\\")},month:function(t){return 0===arguments.length?this._month:this.set(t,\\\"m\\\")},day:function(t){return 0===arguments.length?this._day:this.set(t,\\\"d\\\")},date:function(t,e,r){if(!this._calendar.isValid(t,e,r))throw(c.local.invalidDate||c.regionalOptions[\\\"\\\"].invalidDate).replace(/\\\\{0\\\\}/,this._calendar.local.name);return this._year=t,this._month=e,this._day=r,this},leapYear:function(){return this._calendar.leapYear(this)},epoch:function(){return this._calendar.epoch(this)},formatYear:function(){return this._calendar.formatYear(this)},monthOfYear:function(){return this._calendar.monthOfYear(this)},weekOfYear:function(){return this._calendar.weekOfYear(this)},daysInYear:function(){return this._calendar.daysInYear(this)},dayOfYear:function(){return this._calendar.dayOfYear(this)},daysInMonth:function(){return this._calendar.daysInMonth(this)},dayOfWeek:function(){return this._calendar.dayOfWeek(this)},weekDay:function(){return this._calendar.weekDay(this)},extraInfo:function(){return this._calendar.extraInfo(this)},add:function(t,e){return this._calendar.add(this,t,e)},set:function(t,e){return this._calendar.set(this,t,e)},compareTo:function(t){if(this._calendar.name!==t._calendar.name)throw(c.local.differentCalendars||c.regionalOptions[\\\"\\\"].differentCalendars).replace(/\\\\{0\\\\}/,this._calendar.local.name).replace(/\\\\{1\\\\}/,t._calendar.local.name);var e=this._year!==t._year?this._year-t._year:this._month!==t._month?this.monthOfYear()-t.monthOfYear():this._day-t._day;return 0===e?0:e<0?-1:1},calendar:function(){return this._calendar},toJD:function(){return this._calendar.toJD(this)},fromJD:function(t){return this._calendar.fromJD(t)},toJSDate:function(){return this._calendar.toJSDate(this)},fromJSDate:function(t){return this._calendar.fromJSDate(t)},toString:function(){return(this.year()<0?\\\"-\\\":\\\"\\\")+o(Math.abs(this.year()),4)+\\\"-\\\"+o(this.month(),2)+\\\"-\\\"+o(this.day(),2)}}),n(s.prototype,{_validateLevel:0,newDate:function(t,e,r){return null==t?this.today():(t.year&&(this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\\\"\\\"].invalidDate),r=t.day(),e=t.month(),t=t.year()),new a(this,t,e,r))},today:function(){return this.fromJSDate(new Date)},epoch:function(t){return this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\\\"\\\"].invalidYear).year()<0?this.local.epochs[0]:this.local.epochs[1]},formatYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\\\"\\\"].invalidYear);return(e.year()<0?\\\"-\\\":\\\"\\\")+o(Math.abs(e.year()),4)},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\\\"\\\"].invalidYear),12},monthOfYear:function(t,e){var r=this._validate(t,e,this.minDay,c.local.invalidMonth||c.regionalOptions[\\\"\\\"].invalidMonth);return(r.month()+this.monthsInYear(r)-this.firstMonth)%this.monthsInYear(r)+this.minMonth},fromMonthOfYear:function(t,e){var r=(e+this.firstMonth-2*this.minMonth)%this.monthsInYear(t)+this.minMonth;return this._validate(t,r,this.minDay,c.local.invalidMonth||c.regionalOptions[\\\"\\\"].invalidMonth),r},daysInYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\\\"\\\"].invalidYear);return this.leapYear(e)?366:365},dayOfYear:function(t,e,r){var n=this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\\\"\\\"].invalidDate);return n.toJD()-this.newDate(n.year(),this.fromMonthOfYear(n.year(),this.minMonth),this.minDay).toJD()+1},daysInWeek:function(){return 7},dayOfWeek:function(t,e,r){var n=this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\\\"\\\"].invalidDate);return(Math.floor(this.toJD(n))+2)%this.daysInWeek()},extraInfo:function(t,e,r){return this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\\\"\\\"].invalidDate),{}},add:function(t,e,r){return this._validate(t,this.minMonth,this.minDay,c.local.invalidDate||c.regionalOptions[\\\"\\\"].invalidDate),this._correctAdd(t,this._add(t,e,r),e,r)},_add:function(t,e,r){if(this._validateLevel++,\\\"d\\\"===r||\\\"w\\\"===r){var n=t.toJD()+e*(\\\"w\\\"===r?this.daysInWeek():1),i=t.calendar().fromJD(n);return this._validateLevel--,[i.year(),i.month(),i.day()]}try{var a=t.year()+(\\\"y\\\"===r?e:0),o=t.monthOfYear()+(\\\"m\\\"===r?e:0);i=t.day();\\\"y\\\"===r?(t.month()!==this.fromMonthOfYear(a,o)&&(o=this.newDate(a,t.month(),this.minDay).monthOfYear()),o=Math.min(o,this.monthsInYear(a)),i=Math.min(i,this.daysInMonth(a,this.fromMonthOfYear(a,o)))):\\\"m\\\"===r&&(!function(t){for(;o<t.minMonth;)a--,o+=t.monthsInYear(a);for(var e=t.monthsInYear(a);o>e-1+t.minMonth;)a++,o-=e,e=t.monthsInYear(a)}(this),i=Math.min(i,this.daysInMonth(a,this.fromMonthOfYear(a,o))));var s=[a,this.fromMonthOfYear(a,o),i];return this._validateLevel--,s}catch(t){throw 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n=(r=r||{}).shortYearCutoff||this.shortYearCutoff;n=\\\"string\\\"!=typeof n?n:this.today().year()%100+parseInt(n,10);for(var a=r.dayNamesShort||this.local.dayNamesShort,o=r.dayNames||this.local.dayNames,s=r.parseMonth||this.local.parseMonth,l=r.monthNumbers||this.local.monthNumbers,c=r.monthNamesShort||this.local.monthNamesShort,u=r.monthNames||this.local.monthNames,f=-1,h=-1,p=-1,d=-1,m=-1,g=!1,v=!1,y=function(e,r){for(var n=1;A+n<t.length&&t.charAt(A+n)===e;)n++;return A+=n-1,Math.floor(n/(r||1))>1},x=function(t,r){var n=y(t,r),a=[2,3,n?4:2,n?4:2,10,11,20][\\\"oyYJ@!\\\".indexOf(t)+1],o=new RegExp(\\\"^-?\\\\\\\\d{1,\\\"+a+\\\"}\\\"),s=e.substring(M).match(o);if(!s)throw(i.local.missingNumberAt||i.regionalOptions[\\\"\\\"].missingNumberAt).replace(/\\\\{0\\\\}/,M);return M+=s[0].length,parseInt(s[0],10)},b=this,_=function(){if(\\\"function\\\"==typeof l){y(\\\"m\\\");var t=l.call(b,e.substring(M));return M+=t.length,t}return x(\\\"m\\\")},w=function(t,r,n,a){for(var 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n=t(\\\"../annotations/attributes\\\"),i=t(\\\"../../plot_api/edit_types\\\").overrideAll,a=t(\\\"../../plot_api/plot_template\\\").templatedArray;e.exports=i(a(\\\"annotation\\\",{visible:n.visible,x:{valType:\\\"any\\\"},y:{valType:\\\"any\\\"},z:{valType:\\\"any\\\"},ax:{valType:\\\"number\\\"},ay:{valType:\\\"number\\\"},xanchor:n.xanchor,xshift:n.xshift,yanchor:n.yanchor,yshift:n.yshift,text:n.text,textangle:n.textangle,font:n.font,width:n.width,height:n.height,opacity:n.opacity,align:n.align,valign:n.valign,bgcolor:n.bgcolor,bordercolor:n.bordercolor,borderpad:n.borderpad,borderwidth:n.borderwidth,showarrow:n.showarrow,arrowcolor:n.arrowcolor,arrowhead:n.arrowhead,startarrowhead:n.startarrowhead,arrowside:n.arrowside,arrowsize:n.arrowsize,startarrowsize:n.startarrowsize,arrowwidth:n.arrowwidth,standoff:n.standoff,startstandoff:n.startstandoff,hovertext:n.hovertext,hoverlabel:n.hoverlabel,captureevents:n.captureevents}),\\\"calc\\\",\\\"from-root\\\")},{\\\"../../plot_api/edit_types\\\":827,\\\"../../plot_api/plot_template\\\":834,\\\"../annotations/attributes\\\":641}],651:[function(t,e,r){\\\"use 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l(t,e,r,a){function l(r,i){return n.coerce(t,e,s,r,i)}function c(t){var n=t+\\\"axis\\\",a={_fullLayout:{}};return a._fullLayout[n]=r[n],i.coercePosition(e,a,l,t,t,.5)}l(\\\"visible\\\")&&(o(t,e,a.fullLayout,l),c(\\\"x\\\"),c(\\\"y\\\"),c(\\\"z\\\"),n.noneOrAll(t,e,[\\\"x\\\",\\\"y\\\",\\\"z\\\"]),e.xref=\\\"x\\\",e.yref=\\\"y\\\",e.zref=\\\"z\\\",l(\\\"xanchor\\\"),l(\\\"yanchor\\\"),l(\\\"xshift\\\"),l(\\\"yshift\\\"),e.showarrow&&(e.axref=\\\"pixel\\\",e.ayref=\\\"pixel\\\",l(\\\"ax\\\",-10),l(\\\"ay\\\",-30),n.noneOrAll(t,e,[\\\"ax\\\",\\\"ay\\\"])))}e.exports=function(t,e,r){a(t,e,{name:\\\"annotations\\\",handleItemDefaults:l,fullLayout:r.fullLayout})}},{\\\"../../lib\\\":795,\\\"../../plots/array_container_defaults\\\":840,\\\"../../plots/cartesian/axes\\\":845,\\\"../annotations/common_defaults\\\":644,\\\"./attributes\\\":650}],653:[function(t,e,r){\\\"use strict\\\";var n=t(\\\"../annotations/draw\\\").drawRaw,i=t(\\\"../../plots/gl3d/project\\\"),a=[\\\"x\\\",\\\"y\\\",\\\"z\\\"];e.exports=function(t){for(var e=t.fullSceneLayout,r=t.dataScale,o=e.annotations,s=0;s<o.length;s++){for(var l=o[s],c=!1,u=0;u<3;u++){var f=a[u],h=l[f],p=e[f+\\\"axis\\\"].r2fraction(h);if(p<0||p>1){c=!0;break}}c?t.fullLayout._infolayer.select(\\\".annotation-\\\"+t.id+'[data-index=\\\"'+s+'\\\"]').remove():(l._pdata=i(t.glplot.cameraParams,[e.xaxis.r2l(l.x)*r[0],e.yaxis.r2l(l.y)*r[1],e.zaxis.r2l(l.z)*r[2]]),n(t.graphDiv,l,s,t.id,l._xa,l._ya))}}},{\\\"../../plots/gl3d/project\\\":896,\\\"../annotations/draw\\\":647}],654:[function(t,e,r){\\\"use strict\\\";var n=t(\\\"../../registry\\\"),i=t(\\\"../../lib\\\");e.exports={moduleType:\\\"component\\\",name:\\\"annotations3d\\\",schema:{subplots:{scene:{annotations:t(\\\"./attributes\\\")}}},layoutAttributes:t(\\\"./attributes\\\"),handleDefaults:t(\\\"./defaults\\\"),includeBasePlot:function(t,e){var r=n.subplotsRegistry.gl3d;if(!r)return;for(var a=r.attrRegex,o=Object.keys(t),s=0;s<o.length;s++){var l=o[s];a.test(l)&&(t[l].annotations||[]).length&&(i.pushUnique(e._basePlotModules,r),i.pushUnique(e._subplots.gl3d,l))}},convert:t(\\\"./convert\\\"),draw:t(\\\"./draw\\\")}},{\\\"../../lib\\\":795,\\\"../../registry\\\":923,\\\"./attributes\\\":650,\\\"./convert\\\":651,\\\"./defaults\\\":652,\\\"./draw\\\":653}],655:[function(t,e,r){\\\"use 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d(t){return\\\"Sets the calendar system to use with `\\\"+t+\\\"` date data.\\\"}var m={xcalendar:p(d(\\\"x\\\"))},g=i.extendFlat({},m,{ycalendar:p(d(\\\"y\\\"))}),v=i.extendFlat({},g,{zcalendar:p(d(\\\"z\\\"))}),y=p([\\\"Sets the calendar system to use for `range` and `tick0`\\\",\\\"if this is a date axis. This does not set the calendar for\\\",\\\"interpreting data on this axis, that's specified in the trace\\\",\\\"or via the global `layout.calendar`\\\"].join(\\\" \\\"));e.exports={moduleType:\\\"component\\\",name:\\\"calendars\\\",schema:{traces:{scatter:g,bar:g,box:g,heatmap:g,contour:g,histogram:g,histogram2d:g,histogram2dcontour:g,scatter3d:v,surface:v,mesh3d:v,scattergl:g,ohlc:m,candlestick:m},layout:{calendar:p([\\\"Sets the default calendar system to use for interpreting and\\\",\\\"displaying dates throughout the plot.\\\"].join(\\\" \\\"))},subplots:{xaxis:{calendar:y},yaxis:{calendar:y},scene:{xaxis:{calendar:y},yaxis:{calendar:y},zaxis:{calendar:y}},polar:{radialaxis:{calendar:y}}},transforms:{filter:{valuecalendar:p([\\\"WARNING: All transforms are deprecated and may be removed from the API in next major version.\\\",\\\"Sets the calendar system to use for `value`, if it is a date.\\\"].join(\\\" \\\")),targetcalendar:p([\\\"WARNING: All transforms are deprecated and may be removed from the API in next major version.\\\",\\\"Sets the calendar system to use for `target`, if it is an\\\",\\\"array of dates. 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x=y[0];i(x.x0)&&i(x.y0)&&(h=ct(x),(!$.hLinePoint||$.hLinePoint.spikeDistance>h.spikeDistance)&&($.hLinePoint=h))}}}}}function lt(t,e){for(var r,n=null,i=1/0,a=0;a<t.length;a++)(r=t[a].spikeDistance)<=i&&r<=e&&(n=t[a],i=r);return n}function ct(t){return t?{xa:t.xa,ya:t.ya,x:void 0!==t.xSpike?t.xSpike:(t.x0+t.x1)/2,y:void 0!==t.ySpike?t.ySpike:(t.y0+t.y1)/2,distance:t.distance,spikeDistance:t.spikeDistance,curveNumber:t.trace.index,color:t.color,pointNumber:t.index}:null}st();var ut={fullLayout:l,container:l._hoverlayer,outerContainer:l._paperdiv,event:e},ft=t._spikepoints,ht={vLinePoint:$.vLinePoint,hLinePoint:$.hLinePoint};if(t._spikepoints=ht,m&&0!==I&&0!==K.length){var pt=lt(K.filter((function(t){return t.ya.showspikes})),I);$.hLinePoint=ct(pt);var dt=lt(K.filter((function(t){return t.xa.showspikes})),I);$.vLinePoint=ct(dt)}if(0===K.length){var mt=d.unhoverRaw(t,e);return!m||null===$.hLinePoint&&null===$.vLinePoint||R(ft)&&D(t,$,ut),mt}m&&R(ft)&&D(t,$,ut);var gt=function(){K.sort((function(t,e){return t.distance-e.distance})),K=function(t,e){for(var r=e.charAt(0),n=[],i=[],a=[],o=0;o<t.length;o++){var s=t[o];g.traceIs(s.trace,\\\"bar-like\\\")||g.traceIs(s.trace,\\\"box-violin\\\")?a.push(s):s.trace[r+\\\"period\\\"]?i.push(s):n.push(s)}return n.concat(i).concat(a)}(K,S)};if(gt(),v.isXYhover(Y)&&0!==K[0].length&&\\\"splom\\\"!==K[0].trace.type){var vt=K[0],yt=(K=E[vt.trace.type]?K.filter((function(t){return t.trace.index===vt.trace.index})):[vt]).length,xt=B(\\\"x\\\",vt,l),bt=B(\\\"y\\\",vt,l);st(xt,bt);var _t,wt=[],Tt={},kt=0,Mt=function(t){var e=E[t.trace.type]?L(t):t.trace.index;if(Tt[e]){var r=Tt[e]-1,n=wt[r];r>0&&Math.abs(t.distance)<Math.abs(n.distance)&&(wt[r]=t)}else kt++,Tt[e]=kt,wt.push(t)};for(_t=0;_t<yt;_t++)Mt(K[_t]);for(_t=K.length-1;_t>yt-1;_t--)Mt(K[_t]);K=wt,gt()}var At=t._hoverdata,St=[];for(j=0;j<K.length;j++){var Et=K[j],Lt=v.makeEventData(Et,Et.trace,Et.cd);if(!1!==Et.hovertemplate){var Ct=!1;Et.cd[Et.index]&&Et.cd[Et.index].ht&&(Ct=Et.cd[Et.index].ht),Et.hovertemplate=Ct||Et.trace.hovertemplate||!1}Et.eventData=[Lt],St.push(Lt)}t._hoverdata=St;var Pt=\\\"y\\\"===S&&(Q.length>1||K.length>1)||\\\"closest\\\"===S&&tt&&K.length>1,It=p.combine(l.plot_bgcolor||p.background,l.paper_bgcolor),Ot={hovermode:S,rotateLabels:Pt,bgColor:It,container:l._hoverlayer,outerContainer:l._paperdiv,commonLabelOpts:l.hoverlabel,hoverdistance:l.hoverdistance},zt=P(K,Ot,t);v.isUnifiedHover(S)||(!function(t,e,r){var n,i,a,o,s,l,c,u=0,f=1,h=t.size(),p=new Array(h),d=0;function m(t){var e=t[0],r=t[t.length-1];if(i=e.pmin-e.pos-e.dp+e.size,a=r.pos+r.dp+r.size-e.pmax,i>.01){for(s=t.length-1;s>=0;s--)t[s].dp+=i;n=!1}if(!(a<.01)){if(i<-.01){for(s=t.length-1;s>=0;s--)t[s].dp-=a;n=!1}if(n){var c=0;for(o=0;o<t.length;o++)(l=t[o]).pos+l.dp+l.size>e.pmax&&c++;for(o=t.length-1;o>=0&&!(c<=0);o--)(l=t[o]).pos>e.pmax-1&&(l.del=!0,c--);for(o=0;o<t.length&&!(c<=0);o++)if((l=t[o]).pos<e.pmin+1)for(l.del=!0,c--,a=2*l.size,s=t.length-1;s>=0;s--)t[s].dp-=a;for(o=t.length-1;o>=0&&!(c<=0);o--)(l=t[o]).pos+l.dp+l.size>e.pmax&&(l.del=!0,c--)}}}t.each((function(t){var n=t[e],i=\\\"x\\\"===n._id.charAt(0),a=n.range;0===d&&a&&a[0]>a[1]!==i&&(f=-1),p[d++]=[{datum:t,traceIndex:t.trace.index,dp:0,pos:t.pos,posref:t.posref,size:t.by*(i?T:1)/2,pmin:0,pmax:i?r.width:r.height}]})),p.sort((function(t,e){return t[0].posref-e[0].posref||f*(e[0].traceIndex-t[0].traceIndex)}));for(;!n&&u<=h;){for(u++,n=!0,o=0;o<p.length-1;){var g=p[o],v=p[o+1],y=g[g.length-1],x=v[0];if((i=y.pos+y.dp+y.size-x.pos-x.dp+x.size)>.01&&y.pmin===x.pmin&&y.pmax===x.pmax){for(s=v.length-1;s>=0;s--)v[s].dp+=i;for(g.push.apply(g,v),p.splice(o+1,1),c=0,s=g.length-1;s>=0;s--)c+=g[s].dp;for(a=c/g.length,s=g.length-1;s>=0;s--)g[s].dp-=a;n=!1}else o++}p.forEach(m)}for(o=p.length-1;o>=0;o--){var b=p[o];for(s=b.length-1;s>=0;s--){var _=b[s],w=_.datum;w.offset=_.dp,w.del=_.del}}}(zt,Pt?\\\"xa\\\":\\\"ya\\\",l),O(zt,Pt,l._invScaleX,l._invScaleY));if(e.target&&e.target.tagName){var Dt=g.getComponentMethod(\\\"annotations\\\",\\\"hasClickToShow\\\")(t,St);f(n.select(e.target),Dt?\\\"pointer\\\":\\\"\\\")}if(!e.target||a||!function(t,e,r){if(!r||r.length!==t._hoverdata.length)return!0;for(var n=r.length-1;n>=0;n--){var i=r[n],a=t._hoverdata[n];if(i.curveNumber!==a.curveNumber||String(i.pointNumber)!==String(a.pointNumber)||String(i.pointNumbers)!==String(a.pointNumbers))return!0}return!1}(t,0,At))return;At&&t.emit(\\\"plotly_unhover\\\",{event:e,points:At});t.emit(\\\"plotly_hover\\\",{event:e,points:t._hoverdata,xaxes:b,yaxes:_,xvals:F,yvals:N})}(t,e,r,a)}))},r.loneHover=function(t,e){var r=!0;Array.isArray(t)||(r=!1,t=[t]);var i=t.map((function(t){return{color:t.color||p.defaultLine,x0:t.x0||t.x||0,x1:t.x1||t.x||0,y0:t.y0||t.y||0,y1:t.y1||t.y||0,xLabel:t.xLabel,yLabel:t.yLabel,zLabel:t.zLabel,text:t.text,name:t.name,idealAlign:t.idealAlign,borderColor:t.borderColor,fontFamily:t.fontFamily,fontSize:t.fontSize,fontColor:t.fontColor,nameLength:t.nameLength,textAlign:t.textAlign,trace:t.trace||{index:0,hoverinfo:\\\"\\\"},xa:{_offset:0},ya:{_offset:0},index:0,hovertemplate:t.hovertemplate||!1,eventData:t.eventData||!1,hovertemplateLabels:t.hovertemplateLabels||!1}})),a=n.select(e.container),o=e.outerContainer?n.select(e.outerContainer):a,s={hovermode:\\\"closest\\\",rotateLabels:!1,bgColor:e.bgColor||p.background,container:a,outerContainer:o},l=P(i,s,e.gd),c=0,u=0;l.sort((function(t,e){return t.y0-e.y0})).each((function(t,r){var n=t.y0-t.by/2;t.offset=n-5<c?c-n+5:0,c=n+t.by+t.offset,r===e.anchorIndex&&(u=t.offset)})).each((function(t){t.offset-=u}));var f=e.gd._fullLayout._invScaleX,h=e.gd._fullLayout._invScaleY;return O(l,s.rotateLabels,f,h),r?l:l.node()};var C=/<extra>([\\\\s\\\\S]*)<\\\\/extra>/;function P(t,e,r){var i=r._fullLayout,a=e.hovermode,c=e.rotateLabels,f=e.bgColor,d=e.container,m=e.outerContainer,g=e.commonLabelOpts||{},w=e.fontFamily||y.HOVERFONT,T=e.fontSize||y.HOVERFONTSIZE,k=t[0],M=k.xa,E=k.ya,C=a.charAt(0),P=k[C+\\\"Label\\\"],O=m.node().getBoundingClientRect(),z=O.top,D=O.width,R=O.height,F=void 0!==P&&k.distance<=e.hoverdistance&&(\\\"x\\\"===a||\\\"y\\\"===a);if(F){var B,N,j=!0;for(B=0;B<t.length;B++)if(j&&void 0===t[B].zLabel&&(j=!1),N=t[B].hoverinfo||t[B].trace.hoverinfo){var U=Array.isArray(N)?N:N.split(\\\"+\\\");if(-1===U.indexOf(\\\"all\\\")&&-1===U.indexOf(a)){F=!1;break}}j&&(F=!1)}var V=d.selectAll(\\\"g.axistext\\\").data(F?[0]:[]);if(V.enter().append(\\\"g\\\").classed(\\\"axistext\\\",!0),V.exit().remove(),V.each((function(){var t=n.select(this),e=o.ensureSingle(t,\\\"path\\\",\\\"\\\",(function(t){t.style({\\\"stroke-width\\\":\\\"1px\\\"})})),l=o.ensureSingle(t,\\\"text\\\",\\\"\\\",(function(t){t.attr(\\\"data-notex\\\",1)})),c=g.bgcolor||p.defaultLine,f=g.bordercolor||p.contrast(c),d=p.contrast(c),m={family:g.font.family||w,size:g.font.size||T,color:g.font.color||d};e.style({fill:c,stroke:f}),l.text(P).call(h.font,m).call(u.positionText,0,0).call(u.convertToTspans,r),t.attr(\\\"transform\\\",\\\"\\\");var v,y,x=l.node().getBoundingClientRect();if(\\\"x\\\"===a){var b=\\\"top\\\"===M.side?\\\"-\\\":\\\"\\\";l.attr(\\\"text-anchor\\\",\\\"middle\\\").call(u.positionText,0,\\\"top\\\"===M.side?z-x.bottom-A-S:z-x.top+A+S),v=M._offset+(k.x0+k.x1)/2,y=E._offset+(\\\"top\\\"===M.side?0:E._length);var _=x.width/2+S;v<_?(v=_,e.attr(\\\"d\\\",\\\"M-\\\"+(_-A)+\\\",0L-\\\"+(_-2*A)+\\\",\\\"+b+A+\\\"H\\\"+(S+x.width/2)+\\\"v\\\"+b+(2*S+x.height)+\\\"H-\\\"+_+\\\"V\\\"+b+A+\\\"Z\\\")):v>i.width-_?(v=i.width-_,e.attr(\\\"d\\\",\\\"M\\\"+(_-A)+\\\",0L\\\"+_+\\\",\\\"+b+A+\\\"v\\\"+b+(2*S+x.height)+\\\"H-\\\"+_+\\\"V\\\"+b+A+\\\"H\\\"+(_-2*A)+\\\"Z\\\")):e.attr(\\\"d\\\",\\\"M0,0L\\\"+A+\\\",\\\"+b+A+\\\"H\\\"+(S+x.width/2)+\\\"v\\\"+b+(2*S+x.height)+\\\"H-\\\"+(S+x.width/2)+\\\"V\\\"+b+A+\\\"H-\\\"+A+\\\"Z\\\")}else{var L,C,I;\\\"right\\\"===E.side?(L=\\\"start\\\",C=1,I=\\\"\\\",v=M._offset+M._length):(L=\\\"end\\\",C=-1,I=\\\"-\\\",v=M._offset),y=E._offset+(k.y0+k.y1)/2,l.attr(\\\"text-anchor\\\",L),e.attr(\\\"d\\\",\\\"M0,0L\\\"+I+A+\\\",\\\"+A+\\\"V\\\"+(S+x.height/2)+\\\"h\\\"+I+(2*S+x.width)+\\\"V-\\\"+(S+x.height/2)+\\\"H\\\"+I+A+\\\"V-\\\"+A+\\\"Z\\\");var O,D=x.height/2,R=z-x.top-D,F=\\\"clip\\\"+i._uid+\\\"commonlabel\\\"+E._id;if(v<x.width+2*S+A){O=\\\"M-\\\"+(A+S)+\\\"-\\\"+D+\\\"h-\\\"+(x.width-S)+\\\"V\\\"+D+\\\"h\\\"+(x.width-S)+\\\"Z\\\";var B=x.width-v+S;u.positionText(l,B,R),\\\"end\\\"===L&&l.selectAll(\\\"tspan\\\").each((function(){var t=n.select(this),e=h.tester.append(\\\"text\\\").text(t.text()).call(h.font,m),r=e.node().getBoundingClientRect();Math.round(r.width)<Math.round(x.width)&&t.attr(\\\"x\\\",B-r.width),e.remove()}))}else u.positionText(l,C*(S+A),R),O=null;var N=i._topclips.selectAll(\\\"#\\\"+F).data(O?[0]:[]);N.enter().append(\\\"clipPath\\\").attr(\\\"id\\\",F).append(\\\"path\\\"),N.exit().remove(),N.select(\\\"path\\\").attr(\\\"d\\\",O),h.setClipUrl(l,O?F:null,r)}t.attr(\\\"transform\\\",s(v,y))})),v.isUnifiedHover(a)){if(d.selectAll(\\\"g.hovertext\\\").remove(),0===t.length)return;var q={showlegend:!0,legend:{title:{text:P,font:i.hoverlabel.font},font:i.hoverlabel.font,bgcolor:i.hoverlabel.bgcolor,bordercolor:i.hoverlabel.bordercolor,borderwidth:1,tracegroupgap:7,traceorder:i.legend?i.legend.traceorder:void 0,orientation:\\\"v\\\"}},H={};x(q,H,r._fullData);var G=H.legend;G.entries=[];for(var Y=0;Y<t.length;Y++){var W=I(t[Y],!0,a,i,P),X=W[0],Z=W[1],J=t[Y];J.name=Z,J.text=\\\"\\\"!==Z?Z+\\\" : \\\"+X:X;var K=J.cd[J.index];K&&(K.mc&&(J.mc=K.mc),K.mcc&&(J.mc=K.mcc),K.mlc&&(J.mlc=K.mlc),K.mlcc&&(J.mlc=K.mlcc),K.mlw&&(J.mlw=K.mlw),K.mrc&&(J.mrc=K.mrc),K.dir&&(J.dir=K.dir)),J._distinct=!0,G.entries.push([J])}G.entries.sort((function(t,e){return t[0].trace.index-e[0].trace.index})),G.layer=d,G._inHover=!0,b(r,G);var Q=t[0],$=(Q.y0+Q.y1)/2,tt=(Q.x0+Q.x1)/2,et=d.select(\\\"g.legend\\\"),rt=et.node().getBoundingClientRect();tt+=M._offset,$+=E._offset-rt.height/2;var nt=rt.width+2*S;!(tt+nt<=D)&&tt-nt>=0?tt-=nt:tt+=2*S;var it=rt.height+2*S,at=$+it>=R;return it<=R&&($<=z?$=E._offset+2*S:at&&($=R-it)),et.attr(\\\"transform\\\",s(tt,$)),et}var ot=d.selectAll(\\\"g.hovertext\\\").data(t,(function(t){return L(t)}));return ot.enter().append(\\\"g\\\").classed(\\\"hovertext\\\",!0).each((function(){var t=n.select(this);t.append(\\\"rect\\\").call(p.fill,p.addOpacity(f,.8)),t.append(\\\"text\\\").classed(\\\"name\\\",!0),t.append(\\\"path\\\").style(\\\"stroke-width\\\",\\\"1px\\\"),t.append(\\\"text\\\").classed(\\\"nums\\\",!0).call(h.font,w,T)})),ot.exit().remove(),ot.each((function(t){var e=n.select(this).attr(\\\"transform\\\",\\\"\\\"),o=t.color;Array.isArray(o)&&(o=o[t.eventData[0].pointNumber]);var d=t.bgcolor||o,m=p.combine(p.opacity(d)?d:p.defaultLine,f),g=p.combine(p.opacity(o)?o:p.defaultLine,f),v=t.borderColor||p.contrast(m),y=I(t,F,a,i,P,e),x=y[0],b=y[1],k=e.select(\\\"text.nums\\\").call(h.font,t.fontFamily||w,t.fontSize||T,t.fontColor||v).text(x).attr(\\\"data-notex\\\",1).call(u.positionText,0,0).call(u.convertToTspans,r),M=e.select(\\\"text.name\\\"),E=0,L=0;if(b&&b!==x){M.call(h.font,t.fontFamily||w,t.fontSize||T,g).text(b).attr(\\\"data-notex\\\",1).call(u.positionText,0,0).call(u.convertToTspans,r);var C=M.node().getBoundingClientRect();E=C.width+2*S,L=C.height+2*S}else M.remove(),e.select(\\\"rect\\\").remove();e.select(\\\"path\\\").style({fill:m,stroke:v});var 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0!==t.nameOverride&&(t.name=t.nameOverride),t.name&&(t.trace._meta&&(t.name=o.templateString(t.name,t.trace._meta)),s=F(t.name,t.nameLength));var c=r.charAt(0),u=\\\"x\\\"===c?\\\"y\\\":\\\"x\\\";void 0!==t.zLabel?(void 0!==t.xLabel&&(l+=\\\"x: \\\"+t.xLabel+\\\"<br>\\\"),void 0!==t.yLabel&&(l+=\\\"y: \\\"+t.yLabel+\\\"<br>\\\"),\\\"choropleth\\\"!==t.trace.type&&\\\"choroplethmapbox\\\"!==t.trace.type&&(l+=(l?\\\"z: \\\":\\\"\\\")+t.zLabel)):e&&t[c+\\\"Label\\\"]===i?l=t[u+\\\"Label\\\"]||\\\"\\\":void 0===t.xLabel?void 0!==t.yLabel&&\\\"scattercarpet\\\"!==t.trace.type&&(l=t.yLabel):l=void 0===t.yLabel?t.xLabel:\\\"(\\\"+t.xLabel+\\\", \\\"+t.yLabel+\\\")\\\",!t.text&&0!==t.text||Array.isArray(t.text)||(l+=(l?\\\"<br>\\\":\\\"\\\")+t.text),void 0!==t.extraText&&(l+=(l?\\\"<br>\\\":\\\"\\\")+t.extraText),a&&\\\"\\\"===l&&!t.hovertemplate&&(\\\"\\\"===s&&a.remove(),l=s);var f=t.hovertemplate||!1;if(f){var 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c(t,\\\"Pan\\\")},attr:\\\"dragmode\\\",val:\\\"pan\\\",icon:o.pan,click:f},u.select2d={name:\\\"select2d\\\",_cat:\\\"select\\\",title:function(t){return c(t,\\\"Box Select\\\")},attr:\\\"dragmode\\\",val:\\\"select\\\",icon:o.selectbox,click:f},u.lasso2d={name:\\\"lasso2d\\\",_cat:\\\"lasso\\\",title:function(t){return c(t,\\\"Lasso Select\\\")},attr:\\\"dragmode\\\",val:\\\"lasso\\\",icon:o.lasso,click:f},u.drawclosedpath={name:\\\"drawclosedpath\\\",title:function(t){return c(t,\\\"Draw closed freeform\\\")},attr:\\\"dragmode\\\",val:\\\"drawclosedpath\\\",icon:o.drawclosedpath,click:f},u.drawopenpath={name:\\\"drawopenpath\\\",title:function(t){return c(t,\\\"Draw open freeform\\\")},attr:\\\"dragmode\\\",val:\\\"drawopenpath\\\",icon:o.drawopenpath,click:f},u.drawline={name:\\\"drawline\\\",title:function(t){return c(t,\\\"Draw line\\\")},attr:\\\"dragmode\\\",val:\\\"drawline\\\",icon:o.drawline,click:f},u.drawrect={name:\\\"drawrect\\\",title:function(t){return c(t,\\\"Draw 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r=d(t,e);n.call(\\\"_guiRelayout\\\",t,r)}},u.zoomInGeo={name:\\\"zoomInGeo\\\",_cat:\\\"zoomin\\\",title:function(t){return c(t,\\\"Zoom in\\\")},attr:\\\"zoom\\\",val:\\\"in\\\",icon:o.zoom_plus,click:m},u.zoomOutGeo={name:\\\"zoomOutGeo\\\",_cat:\\\"zoomout\\\",title:function(t){return c(t,\\\"Zoom out\\\")},attr:\\\"zoom\\\",val:\\\"out\\\",icon:o.zoom_minus,click:m},u.resetGeo={name:\\\"resetGeo\\\",_cat:\\\"reset\\\",title:function(t){return c(t,\\\"Reset\\\")},attr:\\\"reset\\\",val:null,icon:o.autoscale,click:m},u.hoverClosestGeo={name:\\\"hoverClosestGeo\\\",_cat:\\\"hoverclosest\\\",title:function(t){return c(t,\\\"Toggle show closest data on hover\\\")},attr:\\\"hovermode\\\",val:null,toggle:!0,icon:o.tooltip_basic,gravity:\\\"ne\\\",click:v},u.hoverClosestGl2d={name:\\\"hoverClosestGl2d\\\",_cat:\\\"hoverclosest\\\",title:function(t){return c(t,\\\"Toggle show closest data on hover\\\")},attr:\\\"hovermode\\\",val:null,toggle:!0,icon:o.tooltip_basic,gravity:\\\"ne\\\",click:v},u.hoverClosestPie={name:\\\"hoverClosestPie\\\",_cat:\\\"hoverclosest\\\",title:function(t){return c(t,\\\"Toggle show closest data on hover\\\")},attr:\\\"hovermode\\\",val:\\\"closest\\\",icon:o.tooltip_basic,gravity:\\\"ne\\\",click:v},u.resetViewSankey={name:\\\"resetSankeyGroup\\\",title:function(t){return c(t,\\\"Reset view\\\")},icon:o.home,click:function(t){for(var e={\\\"node.groups\\\":[],\\\"node.x\\\":[],\\\"node.y\\\":[]},r=0;r<t._fullData.length;r++){var i=t._fullData[r]._viewInitial;e[\\\"node.groups\\\"].push(i.node.groups.slice()),e[\\\"node.x\\\"].push(i.node.x.slice()),e[\\\"node.y\\\"].push(i.node.y.slice())}n.call(\\\"restyle\\\",t,e)}},u.toggleHover={name:\\\"toggleHover\\\",title:function(t){return c(t,\\\"Toggle show closest data on hover\\\")},attr:\\\"hovermode\\\",val:null,toggle:!0,icon:o.tooltip_basic,gravity:\\\"ne\\\",click:function(t,e){var r=d(t,e);r.hovermode=g(t),n.call(\\\"_guiRelayout\\\",t,r)}},u.resetViews={name:\\\"resetViews\\\",title:function(t){return c(t,\\\"Reset views\\\")},icon:o.home,click:function(t,e){var r=e.currentTarget;r.setAttribute(\\\"data-attr\\\",\\\"zoom\\\"),r.setAttribute(\\\"data-val\\\",\\\"reset\\\"),f(t,e),r.setAttribute(\\\"data-attr\\\",\\\"resetLastSave\\\"),p(t,e),x(t,\\\"geo\\\"),x(t,\\\"mapbox\\\")}},u.toggleSpikelines={name:\\\"toggleSpikelines\\\",title:function(t){return c(t,\\\"Toggle Spike Lines\\\")},icon:o.spikeline,attr:\\\"_cartesianSpikesEnabled\\\",val:\\\"on\\\",click:function(t){var e=t._fullLayout,r=e._cartesianSpikesEnabled;e._cartesianSpikesEnabled=\\\"on\\\"===r?\\\"off\\\":\\\"on\\\",n.call(\\\"_guiRelayout\\\",t,function(t){for(var e=\\\"on\\\"===t._fullLayout._cartesianSpikesEnabled,r=a.list(t,null,!0),n={},i=0;i<r.length;i++){var o=r[i];n[o._name+\\\".showspikes\\\"]=!!e||o._showSpikeInitial}return n}(t))}},u.resetViewMapbox={name:\\\"resetViewMapbox\\\",_cat:\\\"resetView\\\",title:function(t){return c(t,\\\"Reset view\\\")},attr:\\\"reset\\\",icon:o.home,click:function(t){x(t,\\\"mapbox\\\")}},u.zoomInMapbox={name:\\\"zoomInMapbox\\\",_cat:\\\"zoomin\\\",title:function(t){return c(t,\\\"Zoom in\\\")},attr:\\\"zoom\\\",val:\\\"in\\\",icon:o.zoom_plus,click:y},u.zoomOutMapbox={name:\\\"zoomOutMapbox\\\",_cat:\\\"zoomout\\\",title:function(t){return c(t,\\\"Zoom out\\\")},attr:\\\"zoom\\\",val:\\\"out\\\",icon:o.zoom_minus,click:y}},{\\\"../../fonts/ploticon\\\":774,\\\"../../lib\\\":795,\\\"../../plots/cartesian/axis_ids\\\":848,\\\"../../plots/plots\\\":909,\\\"../../registry\\\":923,\\\"../shapes/draw\\\":742}],719:[function(t,e,r){\\\"use strict\\\";var n=t(\\\"./buttons\\\"),i=Object.keys(n),a=[\\\"drawline\\\",\\\"drawopenpath\\\",\\\"drawclosedpath\\\",\\\"drawcircle\\\",\\\"drawrect\\\",\\\"eraseshape\\\"],o=[\\\"v1hovermode\\\",\\\"hoverclosest\\\",\\\"hovercompare\\\",\\\"togglehover\\\",\\\"togglespikelines\\\"].concat(a),s=[];i.forEach((function(t){!function(t){if(-1===o.indexOf(t._cat||t.name)){var e=t.name,r=(t._cat||t.name).toLowerCase();-1===s.indexOf(e)&&s.push(e),-1===s.indexOf(r)&&s.push(r)}}(n[t])})),s.sort(),e.exports={DRAW_MODES:a,backButtons:o,foreButtons:s}},{\\\"./buttons\\\":718}],720:[function(t,e,r){\\\"use strict\\\";var n=t(\\\"../../lib\\\"),i=t(\\\"../color\\\"),a=t(\\\"../../plot_api/plot_template\\\"),o=t(\\\"./attributes\\\");e.exports=function(t,e){var r=t.modebar||{},s=a.newContainer(e,\\\"modebar\\\");function l(t,e){return n.coerce(r,s,o,t,e)}l(\\\"orientation\\\"),l(\\\"bgcolor\\\",i.addOpacity(e.paper_bgcolor,.5));var c=i.contrast(i.rgb(e.modebar.bgcolor));l(\\\"color\\\",i.addOpacity(c,.3)),l(\\\"activecolor\\\",i.addOpacity(c,.7)),l(\\\"uirevision\\\",e.uirevision),l(\\\"add\\\"),l(\\\"remove\\\")}},{\\\"../../lib\\\":795,\\\"../../plot_api/plot_template\\\":834,\\\"../color\\\":658,\\\"./attributes\\\":717}],721:[function(t,e,r){\\\"use strict\\\";e.exports={moduleType:\\\"component\\\",name:\\\"modebar\\\",layoutAttributes:t(\\\"./attributes\\\"),supplyLayoutDefaults:t(\\\"./defaults\\\"),manage:t(\\\"./manage\\\")}},{\\\"./attributes\\\":717,\\\"./defaults\\\":720,\\\"./manage\\\":722}],722:[function(t,e,r){\\\"use strict\\\";var n=t(\\\"../../plots/cartesian/axis_ids\\\"),i=t(\\\"../../traces/scatter/subtypes\\\"),a=t(\\\"../../registry\\\"),o=t(\\\"../fx/helpers\\\").isUnifiedHover,s=t(\\\"./modebar\\\"),l=t(\\\"./buttons\\\"),c=t(\\\"./constants\\\").DRAW_MODES;e.exports=function(t){var e=t._fullLayout,r=t._context,u=e._modeBar;if(r.displayModeBar||r.watermark){if(!Array.isArray(r.modeBarButtonsToRemove))throw new Error([\\\"*modeBarButtonsToRemove* configuration options\\\",\\\"must be an array.\\\"].join(\\\" \\\"));if(!Array.isArray(r.modeBarButtonsToAdd))throw new Error([\\\"*modeBarButtonsToAdd* configuration options\\\",\\\"must be an array.\\\"].join(\\\" \\\"));var f,h=r.modeBarButtons;f=Array.isArray(h)&&h.length?function(t){for(var e=0;e<t.length;e++)for(var r=t[e],n=0;n<r.length;n++){var i=r[n];if(\\\"string\\\"==typeof i){if(void 0===l[i])throw new Error([\\\"*modeBarButtons* configuration options\\\",\\\"invalid button name\\\"].join(\\\" \\\"));t[e][n]=l[i]}}return t}(h):!r.displayModeBar&&r.watermark?[]:function(t){var e=t._fullLayout,r=t._fullData,s=t._context;function u(t,e){if(\\\"string\\\"==typeof e){if(e.toLowerCase()===t.toLowerCase())return!0}else{var r=e.name,n=e._cat||e.name;if(r===t||n===t.toLowerCase())return!0}return!1}var f=e.modebar.add;\\\"string\\\"==typeof f&&(f=[f]);var h=e.modebar.remove;\\\"string\\\"==typeof h&&(h=[h]);var p=s.modeBarButtonsToAdd.concat(f.filter((function(t){for(var e=0;e<s.modeBarButtonsToRemove.length;e++)if(u(t,s.modeBarButtonsToRemove[e]))return!1;return!0}))),d=s.modeBarButtonsToRemove.concat(h.filter((function(t){for(var e=0;e<s.modeBarButtonsToAdd.length;e++)if(u(t,s.modeBarButtonsToAdd[e]))return!1;return!0}))),m=e._has(\\\"cartesian\\\"),g=e._has(\\\"gl3d\\\"),v=e._has(\\\"geo\\\"),y=e._has(\\\"pie\\\"),x=e._has(\\\"funnelarea\\\"),b=e._has(\\\"gl2d\\\"),_=e._has(\\\"ternary\\\"),w=e._has(\\\"mapbox\\\"),T=e._has(\\\"polar\\\"),k=e._has(\\\"sankey\\\"),M=function(t){for(var e=n.list({_fullLayout:t},null,!0),r=0;r<e.length;r++)if(!e[r].fixedrange)return!1;return!0}(e),A=o(e.hovermode),S=[];function E(t){if(t.length){for(var e=[],r=0;r<t.length;r++){for(var n=t[r],i=l[n],a=i.name.toLowerCase(),o=(i._cat||i.name).toLowerCase(),s=!1,c=0;c<d.length;c++){var u=d[c].toLowerCase();if(u===a||u===o){s=!0;break}}s||e.push(l[n])}S.push(e)}}var L=[\\\"toImage\\\"];s.showEditInChartStudio?L.push(\\\"editInChartStudio\\\"):s.showSendToCloud&&L.push(\\\"sendDataToCloud\\\");E(L);var C=[],P=[],I=[],O=[];(m||b||y||x||_)+v+g+w+T>1?(P=[\\\"toggleHover\\\"],I=[\\\"resetViews\\\"]):v?(C=[\\\"zoomInGeo\\\",\\\"zoomOutGeo\\\"],P=[\\\"hoverClosestGeo\\\"],I=[\\\"resetGeo\\\"]):g?(P=[\\\"hoverClosest3d\\\"],I=[\\\"resetCameraDefault3d\\\",\\\"resetCameraLastSave3d\\\"]):w?(C=[\\\"zoomInMapbox\\\",\\\"zoomOutMapbox\\\"],P=[\\\"toggleHover\\\"],I=[\\\"resetViewMapbox\\\"]):b?P=[\\\"hoverClosestGl2d\\\"]:y?P=[\\\"hoverClosestPie\\\"]:k?(P=[\\\"hoverClosestCartesian\\\",\\\"hoverCompareCartesian\\\"],I=[\\\"resetViewSankey\\\"]):P=[\\\"toggleHover\\\"];m&&(P=[\\\"toggleSpikelines\\\",\\\"hoverClosestCartesian\\\",\\\"hoverCompareCartesian\\\"]);(function(t){for(var e=0;e<t.length;e++)if(!a.traceIs(t[e],\\\"noHover\\\"))return!1;return!0}(r)||A)&&(P=[]);!m&&!b||M||(C=[\\\"zoomIn2d\\\",\\\"zoomOut2d\\\",\\\"autoScale2d\\\"],\\\"resetViews\\\"!==I[0]&&(I=[\\\"resetScale2d\\\"]));g?O=[\\\"zoom3d\\\",\\\"pan3d\\\",\\\"orbitRotation\\\",\\\"tableRotation\\\"]:(m||b)&&!M||_?O=[\\\"zoom2d\\\",\\\"pan2d\\\"]:w||v?O=[\\\"pan2d\\\"]:T&&(O=[\\\"zoom2d\\\"]);(function(t){for(var e=!1,r=0;r<t.length&&!e;r++){var n=t[r];n._module&&n._module.selectPoints&&(a.traceIs(n,\\\"scatter-like\\\")?(i.hasMarkers(n)||i.hasText(n))&&(e=!0):a.traceIs(n,\\\"box-violin\\\")&&\\\"all\\\"!==n.boxpoints&&\\\"all\\\"!==n.points||(e=!0))}return e})(r)&&O.push(\\\"select2d\\\",\\\"lasso2d\\\");var z=[],D=function(t){-1===z.indexOf(t)&&-1!==P.indexOf(t)&&z.push(t)};if(Array.isArray(p)){for(var R=[],F=0;F<p.length;F++){var B=p[F];\\\"string\\\"==typeof 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o=n.modebar,s=\\\"hover\\\"===r.displayModeBar?\\\".js-plotly-plot .plotly:hover \\\":\\\"\\\";a.deleteRelatedStyleRule(i),a.addRelatedStyleRule(i,s+\\\"#\\\"+i+\\\" .modebar-group\\\",\\\"background-color: \\\"+o.bgcolor),a.addRelatedStyleRule(i,\\\"#\\\"+i+\\\" .modebar-btn .icon path\\\",\\\"fill: \\\"+o.color),a.addRelatedStyleRule(i,\\\"#\\\"+i+\\\" .modebar-btn:hover .icon path\\\",\\\"fill: \\\"+o.activecolor),a.addRelatedStyleRule(i,\\\"#\\\"+i+\\\" .modebar-btn.active .icon path\\\",\\\"fill: \\\"+o.activecolor);var l=!this.hasButtons(e),c=this.hasLogo!==r.displaylogo,u=this.locale!==r.locale;if(this.locale=r.locale,(l||c||u)&&(this.removeAllButtons(),this.updateButtons(e),r.watermark||r.displaylogo)){var f=this.getLogo();r.watermark&&(f.className=f.className+\\\" watermark\\\"),\\\"v\\\"===n.modebar.orientation?this.element.insertBefore(f,this.element.childNodes[0]):this.element.appendChild(f),this.hasLogo=!0}this.updateActiveButton()},c.updateButtons=function(t){var 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b={x:v.lx+d+o.pad.l,y:v.ly+g+o.pad.t,yPad:f.gapButton,xPad:f.gapButton,index:0},k={l:b.x+o.borderwidth,t:b.y+o.borderwidth};u.each((function(s,l){var c=n.select(this);c.call(y,o,s,t).call(A,o,b),c.on(\\\"click\\\",(function(){n.event.defaultPrevented||(s.execute&&(s.args2&&o.active===l?(m(t,o,0,e,r,a,-1),i.executeAPICommand(t,s.method,s.args2)):(m(t,o,0,e,r,a,l),i.executeAPICommand(t,s.method,s.args))),t.emit(\\\"plotly_buttonclicked\\\",{menu:o,button:s,active:o.active}))})),c.on(\\\"mouseover\\\",(function(){c.call(w)})),c.on(\\\"mouseout\\\",(function(){c.call(T,o),u.call(_,o)}))})),u.call(_,o),x?(k.w=Math.max(v.openWidth,v.headerWidth),k.h=b.y-k.t):(k.w=b.x-k.l,k.h=Math.max(v.openHeight,v.headerHeight)),k.direction=o.direction,a&&(u.size()?function(t,e,r,n,i,a){var o,s,l,c=i.direction,u=\\\"up\\\"===c||\\\"down\\\"===c,h=i._dims,p=i.active;if(u)for(s=0,l=0;l<p;l++)s+=h.heights[l]+f.gapButton;else 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i=s.ensureSingle(t,\\\"text\\\",f.itemTextClassName,(function(t){t.attr({\\\"text-anchor\\\":\\\"start\\\",\\\"data-notex\\\":1})})),a=r.label,c=n._fullLayout._meta;c&&(a=s.templateString(a,c)),i.call(o.font,e.font).text(a).call(l.convertToTspans,n)}function _(t,e){var r=e.active;t.each((function(t,i){var o=n.select(this);i===r&&e.showactive&&o.select(\\\"rect.\\\"+f.itemRectClassName).call(a.fill,f.activeColor)}))}function w(t){t.select(\\\"rect.\\\"+f.itemRectClassName).call(a.fill,f.hoverColor)}function T(t,e){t.select(\\\"rect.\\\"+f.itemRectClassName).call(a.fill,e.bgcolor)}function k(t,e){var r=e._dims={width1:0,height1:0,heights:[],widths:[],totalWidth:0,totalHeight:0,openWidth:0,openHeight:0,lx:0,ly:0},a=o.tester.selectAll(\\\"g.\\\"+f.dropdownButtonClassName).data(s.filterVisible(e.buttons));a.enter().append(\\\"g\\\").classed(f.dropdownButtonClassName,!0);var c=-1!==[\\\"up\\\",\\\"down\\\"].indexOf(e.direction);a.each((function(i,a){var s=n.select(this);s.call(y,e,i,t);var 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u,f,h,p,d=this.position.l,m=this.position.w,g=this.position.t,v=this.position.h,y=this.position.direction,x=\\\"down\\\"===y,b=\\\"left\\\"===y,_=\\\"up\\\"===y,w=m,T=v;x||b||\\\"right\\\"===y||_||(this.position.direction=\\\"down\\\",x=!0),x||_?(f=(u=d)+w,x?(h=g,T=(p=Math.min(h+T,c))-h):T=(p=g+T)-(h=Math.max(p-T,0))):(p=(h=g)+T,b?w=(f=d+w)-(u=Math.max(f-w,0)):(u=d,w=(f=Math.min(u+w,l))-u)),this._box={l:u,t:h,w:w,h:T};var k=m>w,M=s.barLength+2*s.barPad,A=s.barWidth+2*s.barPad,S=d,E=g+v;E+A>c&&(E=c-A);var L=this.container.selectAll(\\\"rect.scrollbar-horizontal\\\").data(k?[0]:[]);L.exit().on(\\\".drag\\\",null).remove(),L.enter().append(\\\"rect\\\").classed(\\\"scrollbar-horizontal\\\",!0).call(i.fill,s.barColor),k?(this.hbar=L.attr({rx:s.barRadius,ry:s.barRadius,x:S,y:E,width:M,height:A}),this._hbarXMin=S+M/2,this._hbarTranslateMax=w-M):(delete this.hbar,delete this._hbarXMin,delete this._hbarTranslateMax);var C=v>T,P=s.barWidth+2*s.barPad,I=s.barLength+2*s.barPad,O=d+m,z=g;O+P>l&&(O=l-P);var D=this.container.selectAll(\\\"rect.scrollbar-vertical\\\").data(C?[0]:[]);D.exit().on(\\\".drag\\\",null).remove(),D.enter().append(\\\"rect\\\").classed(\\\"scrollbar-vertical\\\",!0).call(i.fill,s.barColor),C?(this.vbar=D.attr({rx:s.barRadius,ry:s.barRadius,x:O,y:z,width:P,height:I}),this._vbarYMin=z+I/2,this._vbarTranslateMax=T-I):(delete this.vbar,delete this._vbarYMin,delete this._vbarTranslateMax);var R=this.id,F=u-.5,B=C?f+P+.5:f+.5,N=h-.5,j=k?p+A+.5:p+.5,U=o._topdefs.selectAll(\\\"#\\\"+R).data(k||C?[0]:[]);if(U.exit().remove(),U.enter().append(\\\"clipPath\\\").attr(\\\"id\\\",R).append(\\\"rect\\\"),k||C?(this._clipRect=U.select(\\\"rect\\\").attr({x:Math.floor(F),y:Math.floor(N),width:Math.ceil(B)-Math.floor(F),height:Math.ceil(j)-Math.floor(N)}),this.container.call(a.setClipUrl,R,this.gd),this.bg.attr({x:d,y:g,width:m,height:v})):(this.bg.attr({width:0,height:0}),this.container.on(\\\"wheel\\\",null).on(\\\".drag\\\",null).call(a.setClipUrl,null),delete this._clipRect),k||C){var V=n.behavior.drag().on(\\\"dragstart\\\",(function(){n.event.sourceEvent.preventDefault()})).on(\\\"drag\\\",this._onBoxDrag.bind(this));this.container.on(\\\"wheel\\\",null).on(\\\"wheel\\\",this._onBoxWheel.bind(this)).on(\\\".drag\\\",null).call(V);var q=n.behavior.drag().on(\\\"dragstart\\\",(function(){n.event.sourceEvent.preventDefault(),n.event.sourceEvent.stopPropagation()})).on(\\\"drag\\\",this._onBarDrag.bind(this));k&&this.hbar.on(\\\".drag\\\",null).call(q),C&&this.vbar.on(\\\".drag\\\",null).call(q)}this.setTranslate(e,r)},s.prototype.disable=function(){(this.hbar||this.vbar)&&(this.bg.attr({width:0,height:0}),this.container.on(\\\"wheel\\\",null).on(\\\".drag\\\",null).call(a.setClipUrl,null),delete this._clipRect),this.hbar&&(this.hbar.on(\\\".drag\\\",null),this.hbar.remove(),delete this.hbar,delete this._hbarXMin,delete this._hbarTranslateMax),this.vbar&&(this.vbar.on(\\\".drag\\\",null),this.vbar.remove(),delete this.vbar,delete this._vbarYMin,delete this._vbarTranslateMax)},s.prototype._onBoxDrag=function(){var t=this.translateX,e=this.translateY;this.hbar&&(t-=n.event.dx),this.vbar&&(e-=n.event.dy),this.setTranslate(t,e)},s.prototype._onBoxWheel=function(){var t=this.translateX,e=this.translateY;this.hbar&&(t+=n.event.deltaY),this.vbar&&(e+=n.event.deltaY),this.setTranslate(t,e)},s.prototype._onBarDrag=function(){var t=this.translateX,e=this.translateY;if(this.hbar){var r=t+this._hbarXMin,i=r+this._hbarTranslateMax;t=(o.constrain(n.event.x,r,i)-r)/(i-r)*(this.position.w-this._box.w)}if(this.vbar){var a=e+this._vbarYMin,s=a+this._vbarTranslateMax;e=(o.constrain(n.event.y,a,s)-a)/(s-a)*(this.position.h-this._box.h)}this.setTranslate(t,e)},s.prototype.setTranslate=function(t,e){var r=this.position.w-this._box.w,n=this.position.h-this._box.h;if(t=o.constrain(t||0,0,r),e=o.constrain(e||0,0,n),this.translateX=t,this.translateY=e,this.container.call(a.setTranslate,this._box.l-this.position.l-t,this._box.t-this.position.t-e),this._clipRect&&this._clipRect.attr({x:Math.floor(this.position.l+t-.5),y:Math.floor(this.position.t+e-.5)}),this.hbar){var i=t/r;this.hbar.call(a.setTranslate,t+i*this._hbarTranslateMax,e)}if(this.vbar){var s=e/n;this.vbar.call(a.setTranslate,t,e+s*this._vbarTranslateMax)}}},{\\\"../../lib\\\":795,\\\"../color\\\":658,\\\"../drawing\\\":680,\\\"@plotly/d3\\\":58}],763:[function(t,e,r){\\\"use strict\\\";e.exports={FROM_BL:{left:0,center:.5,right:1,bottom:0,middle:.5,top:1},FROM_TL:{left:0,center:.5,right:1,bottom:1,middle:.5,top:0},FROM_BR:{left:1,center:.5,right:0,bottom:0,middle:.5,top:1},LINE_SPACING:1.3,CAP_SHIFT:.7,MID_SHIFT:.35,OPPOSITE_SIDE:{left:\\\"right\\\",right:\\\"left\\\",top:\\\"bottom\\\",bottom:\\\"top\\\"}}},{}],764:[function(t,e,r){\\\"use strict\\\";e.exports={axisRefDescription:function(t,e,r){return[\\\"If set to a\\\",t,\\\"axis id (e.g. *\\\"+t+\\\"* or\\\",\\\"*\\\"+t+\\\"2*), the `\\\"+t+\\\"` position refers to a\\\",t,\\\"coordinate. 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r,i=[],a=[];if(!(r=\\\"string\\\"==typeof e?n.getModule(e).plot:\\\"function\\\"==typeof e?e:e.plot))return[i,t];for(var o=0;o<t.length;o++){var s=t[o],l=s[0].trace;!0===l.visible&&0!==l._length&&(l._module.plot===r?i.push(s):a.push(s))}return[i,a]},r.getSubplotData=function(t,e,r){if(!n.subplotsRegistry[e])return[];var a,o,s,l=n.subplotsRegistry[e].attr,c=[];if(\\\"gl2d\\\"===e){var u=r.match(i);o=\\\"x\\\"+u[1],s=\\\"y\\\"+u[2]}for(var f=0;f<t.length;f++)a=t[f],\\\"gl2d\\\"===e&&n.traceIs(a,\\\"gl2d\\\")?a[l[0]]===o&&a[l[1]]===s&&c.push(a):a[l]===r&&c.push(a);return c}},{\\\"../registry\\\":923,\\\"./cartesian/constants\\\":851}],883:[function(t,e,r){\\\"use strict\\\";var n=t(\\\"mouse-change\\\"),i=t(\\\"mouse-wheel\\\"),a=t(\\\"mouse-event-offset\\\"),o=t(\\\"../cartesian/constants\\\"),s=t(\\\"has-passive-events\\\");function l(t,e){this.element=t,this.plot=e,this.mouseListener=null,this.wheelListener=null,this.lastInputTime=Date.now(),this.lastPos=[0,0],this.boxEnabled=!1,this.boxInited=!1,this.boxStart=[0,0],this.boxEnd=[0,0],this.dragStart=[0,0]}e.exports=function(t){var e=t.mouseContainer,r=t.glplot,c=new l(e,r);function u(){t.xaxis.autorange=!1,t.yaxis.autorange=!1}function f(e,n,i){var a,s,l=t.calcDataBox(),f=r.viewBox,h=c.lastPos[0],p=c.lastPos[1],d=o.MINDRAG*r.pixelRatio,m=o.MINZOOM*r.pixelRatio;function g(e,r,n){var i=Math.min(r,n),a=Math.max(r,n);i!==a?(l[e]=i,l[e+2]=a,c.dataBox=l,t.setRanges(l)):(t.selectBox.selectBox=[0,0,1,1],t.glplot.setDirty())}switch(n*=r.pixelRatio,i*=r.pixelRatio,i=f[3]-f[1]-i,t.fullLayout.dragmode){case\\\"zoom\\\":if(e){var v=n/(f[2]-f[0])*(l[2]-l[0])+l[0],y=i/(f[3]-f[1])*(l[3]-l[1])+l[1];c.boxInited||(c.boxStart[0]=v,c.boxStart[1]=y,c.dragStart[0]=n,c.dragStart[1]=i),c.boxEnd[0]=v,c.boxEnd[1]=y,c.boxInited=!0,c.boxEnabled||c.boxStart[0]===c.boxEnd[0]&&c.boxStart[1]===c.boxEnd[1]||(c.boxEnabled=!0);var x=Math.abs(c.dragStart[0]-n)<m,b=Math.abs(c.dragStart[1]-i)<m;if(!function(){for(var e=t.graphDiv._fullLayout._axisConstraintGroups,r=t.xaxis._id,n=t.yaxis._id,i=0;i<e.length;i++)if(-1!==e[i][r]){if(-1!==e[i][n])return!0;break}return!1}()||x&&b)x&&(c.boxEnd[0]=c.boxStart[0]),b&&(c.boxEnd[1]=c.boxStart[1]);else{a=c.boxEnd[0]-c.boxStart[0],s=c.boxEnd[1]-c.boxStart[1];var _=(l[3]-l[1])/(l[2]-l[0]);Math.abs(a*_)>Math.abs(s)?(c.boxEnd[1]=c.boxStart[1]+Math.abs(a)*_*(s>=0?1:-1),c.boxEnd[1]<l[1]?(c.boxEnd[1]=l[1],c.boxEnd[0]=c.boxStart[0]+(l[1]-c.boxStart[1])/Math.abs(_)):c.boxEnd[1]>l[3]&&(c.boxEnd[1]=l[3],c.boxEnd[0]=c.boxStart[0]+(l[3]-c.boxStart[1])/Math.abs(_))):(c.boxEnd[0]=c.boxStart[0]+Math.abs(s)/_*(a>=0?1:-1),c.boxEnd[0]<l[0]?(c.boxEnd[0]=l[0],c.boxEnd[1]=c.boxStart[1]+(l[0]-c.boxStart[0])*Math.abs(_)):c.boxEnd[0]>l[2]&&(c.boxEnd[0]=l[2],c.boxEnd[1]=c.boxStart[1]+(l[2]-c.boxStart[0])*Math.abs(_)))}}else c.boxEnabled?(a=c.boxStart[0]!==c.boxEnd[0],s=c.boxStart[1]!==c.boxEnd[1],a||s?(a&&(g(0,c.boxStart[0],c.boxEnd[0]),t.xaxis.autorange=!1),s&&(g(1,c.boxStart[1],c.boxEnd[1]),t.yaxis.autorange=!1),t.relayoutCallback()):t.glplot.setDirty(),c.boxEnabled=!1,c.boxInited=!1):c.boxInited&&(c.boxInited=!1);break;case\\\"pan\\\":c.boxEnabled=!1,c.boxInited=!1,e?(c.panning||(c.dragStart[0]=n,c.dragStart[1]=i),Math.abs(c.dragStart[0]-n)<d&&(n=c.dragStart[0]),Math.abs(c.dragStart[1]-i)<d&&(i=c.dragStart[1]),a=(h-n)*(l[2]-l[0])/(r.viewBox[2]-r.viewBox[0]),s=(p-i)*(l[3]-l[1])/(r.viewBox[3]-r.viewBox[1]),l[0]+=a,l[2]+=a,l[1]+=s,l[3]+=s,t.setRanges(l),c.panning=!0,c.lastInputTime=Date.now(),u(),t.cameraChanged(),t.handleAnnotations()):c.panning&&(c.panning=!1,t.relayoutCallback())}c.lastPos[0]=n,c.lastPos[1]=i}return c.mouseListener=n(e,f),e.addEventListener(\\\"touchstart\\\",(function(t){var r=a(t.changedTouches[0],e);f(0,r[0],r[1]),f(1,r[0],r[1]),t.preventDefault()}),!!s&&{passive:!1}),e.addEventListener(\\\"touchmove\\\",(function(t){t.preventDefault();var r=a(t.changedTouches[0],e);f(1,r[0],r[1]),t.preventDefault()}),!!s&&{passive:!1}),e.addEventListener(\\\"touchend\\\",(function(t){f(0,c.lastPos[0],c.lastPos[1]),t.preventDefault()}),!!s&&{passive:!1}),c.wheelListener=i(e,(function(e,n){if(!t.scrollZoom)return!1;var i=t.calcDataBox(),a=r.viewBox,o=c.lastPos[0],s=c.lastPos[1],l=Math.exp(5*n/(a[3]-a[1])),f=o/(a[2]-a[0])*(i[2]-i[0])+i[0],h=s/(a[3]-a[1])*(i[3]-i[1])+i[1];return i[0]=(i[0]-f)*l+f,i[2]=(i[2]-f)*l+f,i[1]=(i[1]-h)*l+h,i[3]=(i[3]-h)*l+h,t.setRanges(i),c.lastInputTime=Date.now(),u(),t.cameraChanged(),t.handleAnnotations(),t.relayoutCallback(),!0}),!0),c}},{\\\"../cartesian/constants\\\":851,\\\"has-passive-events\\\":436,\\\"mouse-change\\\":462,\\\"mouse-event-offset\\\":463,\\\"mouse-wheel\\\":465}],884:[function(t,e,r){\\\"use strict\\\";var n=t(\\\"../cartesian/axes\\\"),i=t(\\\"../../lib/str2rgbarray\\\");function a(t){this.scene=t,this.gl=t.gl,this.pixelRatio=t.pixelRatio,this.screenBox=[0,0,1,1],this.viewBox=[0,0,1,1],this.dataBox=[-1,-1,1,1],this.borderLineEnable=[!1,!1,!1,!1],this.borderLineWidth=[1,1,1,1],this.borderLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.ticks=[[],[]],this.tickEnable=[!0,!0,!1,!1],this.tickPad=[15,15,15,15],this.tickAngle=[0,0,0,0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickMarkLength=[0,0,0,0],this.tickMarkWidth=[0,0,0,0],this.tickMarkColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labels=[\\\"x\\\",\\\"y\\\"],this.labelEnable=[!0,!0,!1,!1],this.labelAngle=[0,Math.PI/2,0,3*Math.PI/2],this.labelPad=[15,15,15,15],this.labelSize=[12,12],this.labelFont=[\\\"sans-serif\\\",\\\"sans-serif\\\"],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.title=\\\"\\\",this.titleEnable=!0,this.titleCenter=[0,0,0,0],this.titleAngle=0,this.titleColor=[0,0,0,1],this.titleFont=\\\"sans-serif\\\",this.titleSize=18,this.gridLineEnable=[!0,!0],this.gridLineColor=[[0,0,0,.5],[0,0,0,.5]],this.gridLineWidth=[1,1],this.zeroLineEnable=[!0,!0],this.zeroLineWidth=[1,1],this.zeroLineColor=[[0,0,0,1],[0,0,0,1]],this.borderColor=[0,0,0,0],this.backgroundColor=[0,0,0,0],this.static=this.scene.staticPlot}var o=a.prototype,s=[\\\"xaxis\\\",\\\"yaxis\\\"];o.merge=function(t){var e,r,n,a,o,l,c,u,f,h,p;for(this.titleEnable=!1,this.backgroundColor=i(t.plot_bgcolor),h=0;h<2;++h){var d=(e=s[h]).charAt(0);for(n=(r=t[this.scene[e]._name]).title.text===this.scene.fullLayout._dfltTitle[d]?\\\"\\\":r.title.text,p=0;p<=2;p+=2)this.labelEnable[h+p]=!1,this.labels[h+p]=n,this.labelColor[h+p]=i(r.title.font.color),this.labelFont[h+p]=r.title.font.family,this.labelSize[h+p]=r.title.font.size,this.labelPad[h+p]=this.getLabelPad(e,r),this.tickEnable[h+p]=!1,this.tickColor[h+p]=i((r.tickfont||{}).color),this.tickAngle[h+p]=\\\"auto\\\"===r.tickangle?0:Math.PI*-r.tickangle/180,this.tickPad[h+p]=this.getTickPad(r),this.tickMarkLength[h+p]=0,this.tickMarkWidth[h+p]=r.tickwidth||0,this.tickMarkColor[h+p]=i(r.tickcolor),this.borderLineEnable[h+p]=!1,this.borderLineColor[h+p]=i(r.linecolor),this.borderLineWidth[h+p]=r.linewidth||0;c=this.hasSharedAxis(r),o=this.hasAxisInDfltPos(e,r)&&!c,l=this.hasAxisInAltrPos(e,r)&&!c,a=r.mirror||!1,u=c?-1!==String(a).indexOf(\\\"all\\\"):!!a,f=c?\\\"allticks\\\"===a:-1!==String(a).indexOf(\\\"ticks\\\"),o?this.labelEnable[h]=!0:l&&(this.labelEnable[h+2]=!0),o?this.tickEnable[h]=r.showticklabels:l&&(this.tickEnable[h+2]=r.showticklabels),(o||u)&&(this.borderLineEnable[h]=r.showline),(l||u)&&(this.borderLineEnable[h+2]=r.showline),(o||f)&&(this.tickMarkLength[h]=this.getTickMarkLength(r)),(l||f)&&(this.tickMarkLength[h+2]=this.getTickMarkLength(r)),this.gridLineEnable[h]=r.showgrid,this.gridLineColor[h]=i(r.gridcolor),this.gridLineWidth[h]=r.gridwidth,this.zeroLineEnable[h]=r.zeroline,this.zeroLineColor[h]=i(r.zerolinecolor),this.zeroLineWidth[h]=r.zerolinewidth}},o.hasSharedAxis=function(t){var e=this.scene,r=e.fullLayout._subplots.gl2d;return 0!==n.findSubplotsWithAxis(r,t).indexOf(e.id)},o.hasAxisInDfltPos=function(t,e){var r=e.side;return\\\"xaxis\\\"===t?\\\"bottom\\\"===r:\\\"yaxis\\\"===t?\\\"left\\\"===r:void 0},o.hasAxisInAltrPos=function(t,e){var r=e.side;return\\\"xaxis\\\"===t?\\\"top\\\"===r:\\\"yaxis\\\"===t?\\\"right\\\"===r:void 0},o.getLabelPad=function(t,e){var r=e.title.font.size,n=e.showticklabels;return\\\"xaxis\\\"===t?\\\"top\\\"===e.side?r*(1.5+(n?1:0))-10:r*(1.5+(n?.5:0))-10:\\\"yaxis\\\"===t?\\\"right\\\"===e.side?10+r*(1.5+(n?1:.5)):10+r*(1.5+(n?.5:0)):void 0},o.getTickPad=function(t){return\\\"outside\\\"===t.ticks?10+t.ticklen:15},o.getTickMarkLength=function(t){if(!t.ticks)return 0;var e=t.ticklen;return\\\"inside\\\"===t.ticks?-e:e},e.exports=function(t){return new a(t)}},{\\\"../../lib/str2rgbarray\\\":819,\\\"../cartesian/axes\\\":845}],885:[function(t,e,r){\\\"use strict\\\";var n=t(\\\"../../plot_api/edit_types\\\").overrideAll,i=t(\\\"./scene2d\\\"),a=t(\\\"../layout_attributes\\\"),o=t(\\\"../../constants/xmlns_namespaces\\\"),s=t(\\\"../cartesian/constants\\\"),l=t(\\\"../cartesian\\\"),c=t(\\\"../../components/fx/layout_attributes\\\"),u=t(\\\"../get_data\\\").getSubplotData;r.name=\\\"gl2d\\\",r.attr=[\\\"xaxis\\\",\\\"yaxis\\\"],r.idRoot=[\\\"x\\\",\\\"y\\\"],r.idRegex=s.idRegex,r.attrRegex=s.attrRegex,r.attributes=t(\\\"../cartesian/attributes\\\"),r.supplyLayoutDefaults=function(t,e,r){e._has(\\\"cartesian\\\")||l.supplyLayoutDefaults(t,e,r)},r.layoutAttrOverrides=n(l.layoutAttributes,\\\"plot\\\",\\\"from-root\\\"),r.baseLayoutAttrOverrides=n({plot_bgcolor:a.plot_bgcolor,hoverlabel:c.hoverlabel},\\\"plot\\\",\\\"nested\\\"),r.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=e._subplots.gl2d,a=0;a<n.length;a++){var o=n[a],s=e._plots[o],l=u(r,\\\"gl2d\\\",o),c=s._scene2d;void 0===c&&(c=new i({id:o,graphDiv:t,container:t.querySelector(\\\".gl-container\\\"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio},e),s._scene2d=c),c.plot(l,t.calcdata,e,t.layout)}},r.clean=function(t,e,r,n){for(var i=n._subplots.gl2d||[],a=0;a<i.length;a++){var o=i[a],s=n._plots[o];if(s._scene2d){var c=u(t,\\\"gl2d\\\",o);0===c.length&&(s._scene2d.destroy(),delete n._plots[o])}}l.clean.apply(this,arguments)},r.drawFramework=function(t){t._context.staticPlot||l.drawFramework(t)},r.toSVG=function(t){for(var e=t._fullLayout,r=e._subplots.gl2d,n=0;n<r.length;n++){var i=e._plots[r[n]]._scene2d,a=i.toImage(\\\"png\\\");e._glimages.append(\\\"svg:image\\\").attr({xmlns:o.svg,\\\"xlink:href\\\":a,x:0,y:0,width:\\\"100%\\\",height:\\\"100%\\\",preserveAspectRatio:\\\"none\\\"}),i.destroy()}},r.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots.gl2d,n=0;n<r.length;n++){e._plots[r[n]]._scene2d.updateFx(e.dragmode)}}},{\\\"../../components/fx/layout_attributes\\\":699,\\\"../../constants/xmlns_namespaces\\\":772,\\\"../../plot_api/edit_types\\\":827,\\\"../cartesian\\\":858,\\\"../cartesian/attributes\\\":843,\\\"../cartesian/constants\\\":851,\\\"../get_data\\\":882,\\\"../layout_attributes\\\":900,\\\"./scene2d\\\":886}],886:[function(t,e,r){\\\"use strict\\\";var n,i,a=t(\\\"../../registry\\\"),o=t(\\\"../../plots/cartesian/axes\\\"),s=t(\\\"../../components/fx\\\"),l=t(\\\"gl-plot2d\\\"),c=t(\\\"gl-spikes2d\\\"),u=t(\\\"gl-select-box\\\"),f=t(\\\"webgl-context\\\"),h=t(\\\"./convert\\\"),p=t(\\\"./camera\\\"),d=t(\\\"../../lib/show_no_webgl_msg\\\"),m=t(\\\"../cartesian/constraints\\\"),g=m.enforce,v=m.clean,y=t(\\\"../cartesian/autorange\\\").doAutoRange,x=t(\\\"../../components/dragelement/helpers\\\"),b=x.drawMode,_=x.selectMode,w=[\\\"xaxis\\\",\\\"yaxis\\\"],T=t(\\\"../cartesian/constants\\\").SUBPLOT_PATTERN;function k(t,e){this.container=t.container,this.graphDiv=t.graphDiv,this.pixelRatio=t.plotGlPixelRatio||window.devicePixelRatio,this.id=t.id,this.staticPlot=!!t.staticPlot,this.scrollZoom=this.graphDiv._context._scrollZoom.cartesian,this.fullData=null,this.updateRefs(e),this.makeFramework(),this.stopped||(this.glplotOptions=h(this),this.glplotOptions.merge(e),this.glplot=l(this.glplotOptions),this.camera=p(this),this.traces={},this.spikes=c(this.glplot),this.selectBox=u(this.glplot,{innerFill:!1,outerFill:!0}),this.lastButtonState=0,this.pickResult=null,this.isMouseOver=!0,this.stopped=!1,this.redraw=this.draw.bind(this),this.redraw())}e.exports=k;var M=k.prototype;M.makeFramework=function(){if(this.staticPlot){if(!(i||(n=document.createElement(\\\"canvas\\\"),i=f({canvas:n,preserveDrawingBuffer:!1,premultipliedAlpha:!0,antialias:!0}))))throw new Error(\\\"Error creating static canvas/context for image server\\\");this.canvas=n,this.gl=i}else{var t=this.container.querySelector(\\\".gl-canvas-focus\\\"),e=f({canvas:t,preserveDrawingBuffer:!0,premultipliedAlpha:!0});if(!e)return d(this),void(this.stopped=!0);this.canvas=t,this.gl=e}var r=this.canvas;r.style.width=\\\"100%\\\",r.style.height=\\\"100%\\\",r.style.position=\\\"absolute\\\",r.style.top=\\\"0px\\\",r.style.left=\\\"0px\\\",r.style[\\\"pointer-events\\\"]=\\\"none\\\",this.updateSize(r);var a=this.svgContainer=document.createElementNS(\\\"http://www.w3.org/2000/svg\\\",\\\"svg\\\");a.style.position=\\\"absolute\\\",a.style.top=a.style.left=\\\"0px\\\",a.style.width=a.style.height=\\\"100%\\\",a.style[\\\"z-index\\\"]=20,a.style[\\\"pointer-events\\\"]=\\\"none\\\";var o=this.mouseContainer=document.createElement(\\\"div\\\");o.style.position=\\\"absolute\\\",o.style[\\\"pointer-events\\\"]=\\\"auto\\\",this.pickCanvas=this.container.querySelector(\\\".gl-canvas-pick\\\");var s=this.container;s.appendChild(a),s.appendChild(o);var l=this;o.addEventListener(\\\"mouseout\\\",(function(){l.isMouseOver=!1,l.unhover()})),o.addEventListener(\\\"mouseover\\\",(function(){l.isMouseOver=!0}))},M.toImage=function(t){t||(t=\\\"png\\\"),this.stopped=!0,this.staticPlot&&this.container.appendChild(n),this.updateSize(this.canvas);var e=this.glplot.gl,r=e.drawingBufferWidth,i=e.drawingBufferHeight;e.clearColor(1,1,1,0),e.clear(e.COLOR_BUFFER_BIT|e.DEPTH_BUFFER_BIT),this.glplot.setDirty(),this.glplot.draw(),e.bindFramebuffer(e.FRAMEBUFFER,null);var a=new Uint8Array(r*i*4);e.readPixels(0,0,r,i,e.RGBA,e.UNSIGNED_BYTE,a);for(var o=0,s=i-1;o<s;++o,--s)for(var l=0;l<r;++l)for(var c=0;c<4;++c){var u=a[4*(r*o+l)+c];a[4*(r*o+l)+c]=a[4*(r*s+l)+c],a[4*(r*s+l)+c]=u}var f=document.createElement(\\\"canvas\\\");f.width=r,f.height=i;var h,p=f.getContext(\\\"2d\\\"),d=p.createImageData(r,i);switch(d.data.set(a),p.putImageData(d,0,0),t){case\\\"jpeg\\\":h=f.toDataURL(\\\"image/jpeg\\\");break;case\\\"webp\\\":h=f.toDataURL(\\\"image/webp\\\");break;default:h=f.toDataURL(\\\"image/png\\\")}return this.staticPlot&&this.container.removeChild(n),h},M.updateSize=function(t){t||(t=this.canvas);var e=this.pixelRatio,r=this.fullLayout,n=r.width,i=r.height,a=0|Math.ceil(e*n),o=0|Math.ceil(e*i);return t.width===a&&t.height===o||(t.width=a,t.height=o),t},M.computeTickMarks=function(){this.xaxis.setScale(),this.yaxis.setScale();for(var t=[o.calcTicks(this.xaxis),o.calcTicks(this.yaxis)],e=0;e<2;++e)for(var r=0;r<t[e].length;++r)t[e][r].text=t[e][r].text+\\\"\\\";return t},M.updateRefs=function(t){this.fullLayout=t;var e=this.id.match(T),r=\\\"xaxis\\\"+e[1],n=\\\"yaxis\\\"+e[2];this.xaxis=this.fullLayout[r],this.yaxis=this.fullLayout[n]},M.relayoutCallback=function(){var t=this.graphDiv,e=this.xaxis,r=this.yaxis,n=t.layout,i={},o=i[e._name+\\\".range\\\"]=e.range.slice(),s=i[r._name+\\\".range\\\"]=r.range.slice();i[e._name+\\\".autorange\\\"]=e.autorange,i[r._name+\\\".autorange\\\"]=r.autorange,a.call(\\\"_storeDirectGUIEdit\\\",t.layout,t._fullLayout._preGUI,i);var l=n[e._name];l.range=o,l.autorange=e.autorange;var c=n[r._name];c.range=s,c.autorange=r.autorange,i.lastInputTime=this.camera.lastInputTime,t.emit(\\\"plotly_relayout\\\",i)},M.cameraChanged=function(){var t=this.camera;this.glplot.setDataBox(this.calcDataBox());var e=this.computeTickMarks();(function(t,e){for(var r=0;r<2;++r){var n=t[r],i=e[r];if(n.length!==i.length)return!0;for(var a=0;a<n.length;++a)if(n[a].x!==i[a].x)return!0}return!1})(e,this.glplotOptions.ticks)&&(this.glplotOptions.ticks=e,this.glplotOptions.dataBox=t.dataBox,this.glplot.update(this.glplotOptions),this.handleAnnotations())},M.handleAnnotations=function(){for(var t=this.graphDiv,e=this.fullLayout.annotations,r=0;r<e.length;r++){var n=e[r];n.xref===this.xaxis._id&&n.yref===this.yaxis._id&&a.getComponentMethod(\\\"annotations\\\",\\\"drawOne\\\")(t,r)}},M.destroy=function(){if(this.glplot){var t=this.traces;t&&Object.keys(t).map((function(e){t[e].dispose(),delete t[e]})),this.glplot.dispose(),this.container.removeChild(this.svgContainer),this.container.removeChild(this.mouseContainer),this.fullData=null,this.glplot=null,this.stopped=!0,this.camera.mouseListener.enabled=!1,this.mouseContainer.removeEventListener(\\\"wheel\\\",this.camera.wheelListener),this.camera=null}},M.plot=function(t,e,r){var n=this.glplot;this.updateRefs(r),this.xaxis.clearCalc(),this.yaxis.clearCalc(),this.updateTraces(t,e),this.updateFx(r.dragmode);var i=r.width,a=r.height;this.updateSize(this.canvas);var o=this.glplotOptions;o.merge(r),o.screenBox=[0,0,i,a];var s={_fullLayout:{_axisConstraintGroups:r._axisConstraintGroups,xaxis:this.xaxis,yaxis:this.yaxis,_size:r._size}};v(s,this.xaxis),v(s,this.yaxis);var l,c,u=r._size,f=this.xaxis.domain,h=this.yaxis.domain;for(o.viewBox=[u.l+f[0]*u.w,u.b+h[0]*u.h,i-u.r-(1-f[1])*u.w,a-u.t-(1-h[1])*u.h],this.mouseContainer.style.width=u.w*(f[1]-f[0])+\\\"px\\\",this.mouseContainer.style.height=u.h*(h[1]-h[0])+\\\"px\\\",this.mouseContainer.height=u.h*(h[1]-h[0]),this.mouseContainer.style.left=u.l+f[0]*u.w+\\\"px\\\",this.mouseContainer.style.top=u.t+(1-h[1])*u.h+\\\"px\\\",c=0;c<2;++c)(l=this[w[c]])._length=o.viewBox[c+2]-o.viewBox[c],y(this.graphDiv,l),l.setScale();g(s),o.ticks=this.computeTickMarks(),o.dataBox=this.calcDataBox(),o.merge(r),n.update(o),this.glplot.draw()},M.calcDataBox=function(){var t=this.xaxis,e=this.yaxis,r=t.range,n=e.range,i=t.r2l,a=e.r2l;return[i(r[0]),a(n[0]),i(r[1]),a(n[1])]},M.setRanges=function(t){var e=this.xaxis,r=this.yaxis,n=e.l2r,i=r.l2r;e.range=[n(t[0]),n(t[2])],r.range=[i(t[1]),i(t[3])]},M.updateTraces=function(t,e){var r,n,i,a=Object.keys(this.traces);this.fullData=t;t:for(r=0;r<a.length;r++){var o=a[r],s=this.traces[o];for(n=0;n<t.length;n++)if((i=t[n]).uid===o&&i.type===s.type)continue t;s.dispose(),delete this.traces[o]}for(r=0;r<t.length;r++){i=t[r];var l=e[r],c=this.traces[i.uid];c?c.update(i,l):(c=i._module.plot(this,i,l),this.traces[i.uid]=c)}this.glplot.objects.sort((function(t,e){return t._trace.index-e._trace.index}))},M.updateFx=function(t){_(t)||b(t)?(this.pickCanvas.style[\\\"pointer-events\\\"]=\\\"none\\\",this.mouseContainer.style[\\\"pointer-events\\\"]=\\\"none\\\"):(this.pickCanvas.style[\\\"pointer-events\\\"]=\\\"auto\\\",this.mouseContainer.style[\\\"pointer-events\\\"]=\\\"auto\\\"),this.mouseContainer.style.cursor=\\\"pan\\\"===t?\\\"move\\\":\\\"zoom\\\"===t?\\\"crosshair\\\":null},M.emitPointAction=function(t,e){for(var r,n=t.trace.uid,i=t.pointIndex,a=0;a<this.fullData.length;a++)this.fullData[a].uid===n&&(r=this.fullData[a]);var o={x:t.traceCoord[0],y:t.traceCoord[1],curveNumber:r.index,pointNumber:i,data:r._input,fullData:this.fullData,xaxis:this.xaxis,yaxis:this.yaxis};s.appendArrayPointValue(o,r,i),this.graphDiv.emit(e,{points:[o]})},M.draw=function(){if(!this.stopped){requestAnimationFrame(this.redraw);var t=this.glplot,e=this.camera,r=e.mouseListener,n=1===this.lastButtonState&&0===r.buttons,i=this.fullLayout;this.lastButtonState=r.buttons,this.cameraChanged();var a,o=r.x*t.pixelRatio,l=this.canvas.height-t.pixelRatio*r.y;if(e.boxEnabled&&\\\"zoom\\\"===i.dragmode){this.selectBox.enabled=!0;for(var c=this.selectBox.selectBox=[Math.min(e.boxStart[0],e.boxEnd[0]),Math.min(e.boxStart[1],e.boxEnd[1]),Math.max(e.boxStart[0],e.boxEnd[0]),Math.max(e.boxStart[1],e.boxEnd[1])],u=0;u<2;u++)e.boxStart[u]===e.boxEnd[u]&&(c[u]=t.dataBox[u],c[u+2]=t.dataBox[u+2]);t.setDirty()}else if(!e.panning&&this.isMouseOver){this.selectBox.enabled=!1;var f=i._size,h=this.xaxis.domain,p=this.yaxis.domain,d=(a=t.pick(o/t.pixelRatio+f.l+h[0]*f.w,l/t.pixelRatio-(f.t+(1-p[1])*f.h)))&&a.object._trace.handlePick(a);if(d&&n&&this.emitPointAction(d,\\\"plotly_click\\\"),a&&\\\"skip\\\"!==a.object._trace.hoverinfo&&i.hovermode&&d&&(!this.lastPickResult||this.lastPickResult.traceUid!==d.trace.uid||this.lastPickResult.dataCoord[0]!==d.dataCoord[0]||this.lastPickResult.dataCoord[1]!==d.dataCoord[1])){var m=d;this.lastPickResult={traceUid:d.trace?d.trace.uid:null,dataCoord:d.dataCoord.slice()},this.spikes.update({center:a.dataCoord}),m.screenCoord=[((t.viewBox[2]-t.viewBox[0])*(a.dataCoord[0]-t.dataBox[0])/(t.dataBox[2]-t.dataBox[0])+t.viewBox[0])/t.pixelRatio,(this.canvas.height-(t.viewBox[3]-t.viewBox[1])*(a.dataCoord[1]-t.dataBox[1])/(t.dataBox[3]-t.dataBox[1])-t.viewBox[1])/t.pixelRatio],this.emitPointAction(d,\\\"plotly_hover\\\");var g=this.fullData[m.trace.index]||{},v=m.pointIndex,y=s.castHoverinfo(g,i,v);if(y&&\\\"all\\\"!==y){var x=y.split(\\\"+\\\");-1===x.indexOf(\\\"x\\\")&&(m.traceCoord[0]=void 0),-1===x.indexOf(\\\"y\\\")&&(m.traceCoord[1]=void 0),-1===x.indexOf(\\\"z\\\")&&(m.traceCoord[2]=void 0),-1===x.indexOf(\\\"text\\\")&&(m.textLabel=void 0),-1===x.indexOf(\\\"name\\\")&&(m.name=void 0)}s.loneHover({x:m.screenCoord[0],y:m.screenCoord[1],xLabel:this.hoverFormatter(\\\"xaxis\\\",m.traceCoord[0]),yLabel:this.hoverFormatter(\\\"yaxis\\\",m.traceCoord[1]),zLabel:m.traceCoord[2],text:m.textLabel,name:m.name,color:s.castHoverOption(g,v,\\\"bgcolor\\\")||m.color,borderColor:s.castHoverOption(g,v,\\\"bordercolor\\\"),fontFamily:s.castHoverOption(g,v,\\\"font.family\\\"),fontSize:s.castHoverOption(g,v,\\\"font.size\\\"),fontColor:s.castHoverOption(g,v,\\\"font.color\\\"),nameLength:s.castHoverOption(g,v,\\\"namelength\\\"),textAlign:s.castHoverOption(g,v,\\\"align\\\")},{container:this.svgContainer,gd:this.graphDiv})}}a||this.unhover(),t.draw()}},M.unhover=function(){this.lastPickResult&&(this.spikes.update({}),this.lastPickResult=null,this.graphDiv.emit(\\\"plotly_unhover\\\"),s.loneUnhover(this.svgContainer))},M.hoverFormatter=function(t,e){if(void 0!==e){var r=this[t];return o.tickText(r,r.c2l(e),\\\"hover\\\").text}}},{\\\"../../components/dragelement/helpers\\\":676,\\\"../../components/fx\\\":698,\\\"../../lib/show_no_webgl_msg\\\":817,\\\"../../plots/cartesian/axes\\\":845,\\\"../../registry\\\":923,\\\"../cartesian/autorange\\\":844,\\\"../cartesian/constants\\\":851,\\\"../cartesian/constraints\\\":852,\\\"./camera\\\":883,\\\"./convert\\\":884,\\\"gl-plot2d\\\":314,\\\"gl-select-box\\\":329,\\\"gl-spikes2d\\\":338,\\\"webgl-context\\\":621}],887:[function(t,e,r){\\\"use strict\\\";var n=t(\\\"../../plot_api/edit_types\\\").overrideAll,i=t(\\\"../../components/fx/layout_attributes\\\"),a=t(\\\"./scene\\\"),o=t(\\\"../get_data\\\").getSubplotData,s=t(\\\"../../lib\\\"),l=t(\\\"../../constants/xmlns_namespaces\\\");r.name=\\\"gl3d\\\",r.attr=\\\"scene\\\",r.idRoot=\\\"scene\\\",r.idRegex=r.attrRegex=s.counterRegex(\\\"scene\\\"),r.attributes=t(\\\"./layout/attributes\\\"),r.layoutAttributes=t(\\\"./layout/layout_attributes\\\"),r.baseLayoutAttrOverrides=n({hoverlabel:i.hoverlabel},\\\"plot\\\",\\\"nested\\\"),r.supplyLayoutDefaults=t(\\\"./layout/defaults\\\"),r.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=e._subplots.gl3d,i=0;i<n.length;i++){var s=n[i],l=o(r,\\\"gl3d\\\",s),c=e[s],u=c.camera,f=c._scene;f||(f=new a({id:s,graphDiv:t,container:t.querySelector(\\\".gl-container\\\"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio,camera:u},e),c._scene=f),f.viewInitial||(f.viewInitial={up:{x:u.up.x,y:u.up.y,z:u.up.z},eye:{x:u.eye.x,y:u.eye.y,z:u.eye.z},center:{x:u.center.x,y:u.center.y,z:u.center.z}}),f.plot(l,e,t.layout)}},r.clean=function(t,e,r,n){for(var i=n._subplots.gl3d||[],a=0;a<i.length;a++){var o=i[a];!e[o]&&n[o]._scene&&(n[o]._scene.destroy(),n._infolayer&&n._infolayer.selectAll(\\\".annotation-\\\"+o).remove())}},r.toSVG=function(t){for(var e=t._fullLayout,r=e._subplots.gl3d,n=e._size,i=0;i<r.length;i++){var a=e[r[i]],o=a.domain,s=a._scene,c=s.toImage(\\\"png\\\");e._glimages.append(\\\"svg:image\\\").attr({xmlns:l.svg,\\\"xlink:href\\\":c,x:n.l+n.w*o.x[0],y:n.t+n.h*(1-o.y[1]),width:n.w*(o.x[1]-o.x[0]),height:n.h*(o.y[1]-o.y[0]),preserveAspectRatio:\\\"none\\\"}),s.destroy()}},r.cleanId=function(t){if(t.match(/^scene[0-9]*$/)){var e=t.substr(5);return\\\"1\\\"===e&&(e=\\\"\\\"),\\\"scene\\\"+e}},r.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots.gl3d,n=0;n<r.length;n++){e[r[n]]._scene.updateFx(e.dragmode,e.hovermode)}}},{\\\"../../components/fx/layout_attributes\\\":699,\\\"../../constants/xmlns_namespaces\\\":772,\\\"../../lib\\\":795,\\\"../../plot_api/edit_types\\\":827,\\\"../get_data\\\":882,\\\"./layout/attributes\\\":888,\\\"./layout/defaults\\\":892,\\\"./layout/layout_attributes\\\":893,\\\"./scene\\\":897}],888:[function(t,e,r){\\\"use strict\\\";e.exports={scene:{valType:\\\"subplotid\\\",dflt:\\\"scene\\\",editType:\\\"calc+clearAxisTypes\\\"}}},{}],889:[function(t,e,r){\\\"use strict\\\";var n=t(\\\"../../../components/color\\\"),i=t(\\\"../../cartesian/layout_attributes\\\"),a=t(\\\"../../../lib/extend\\\").extendFlat,o=t(\\\"../../../plot_api/edit_types\\\").overrideAll;e.exports=o({visible:i.visible,showspikes:{valType:\\\"boolean\\\",dflt:!0},spikesides:{valType:\\\"boolean\\\",dflt:!0},spikethickness:{valType:\\\"number\\\",min:0,dflt:2},spikecolor:{valType:\\\"color\\\",dflt:n.defaultLine},showbackground:{valType:\\\"boolean\\\",dflt:!1},backgroundcolor:{valType:\\\"color\\\",dflt:\\\"rgba(204, 204, 204, 0.5)\\\"},showaxeslabels:{valType:\\\"boolean\\\",dflt:!0},color:i.color,categoryorder:i.categoryorder,categoryarray:i.categoryarray,title:{text:i.title.text,font:i.title.font},type:a({},i.type,{values:[\\\"-\\\",\\\"linear\\\",\\\"log\\\",\\\"date\\\",\\\"category\\\"]}),autotypenumbers:i.autotypenumbers,autorange:i.autorange,rangemode:i.rangemode,range:a({},i.range,{items:[{valType:\\\"any\\\",editType:\\\"plot\\\",impliedEdits:{\\\"^autorange\\\":!1}},{valType:\\\"any\\\",editType:\\\"plot\\\",impliedEdits:{\\\"^autorange\\\":!1}}],anim:!1}),tickmode:i.tickmode,nticks:i.nticks,tick0:i.tick0,dtick:i.dtick,tickvals:i.tickvals,ticktext:i.ticktext,ticks:i.ticks,mirror:i.mirror,ticklen:i.ticklen,tickwidth:i.tickwidth,tickcolor:i.tickcolor,showticklabels:i.showticklabels,tickfont:i.tickfont,tickangle:i.tickangle,tickprefix:i.tickprefix,showtickprefix:i.showtickprefix,ticksuffix:i.ticksuffix,showticksuffix:i.showticksuffix,showexponent:i.showexponent,exponentformat:i.exponentformat,minexponent:i.minexponent,separatethousands:i.separatethousands,tickformat:i.tickformat,tickformatstops:i.tickformatstops,hoverformat:i.hoverformat,showline:i.showline,linecolor:i.linecolor,linewidth:i.linewidth,showgrid:i.showgrid,gridcolor:a({},i.gridcolor,{dflt:\\\"rgb(204, 204, 204)\\\"}),gridwidth:i.gridwidth,zeroline:i.zeroline,zerolinecolor:i.zerolinecolor,zerolinewidth:i.zerolinewidth,_deprecated:{title:i._deprecated.title,titlefont:i._deprecated.titlefont}},\\\"plot\\\",\\\"from-root\\\")},{\\\"../../../components/color\\\":658,\\\"../../../lib/extend\\\":785,\\\"../../../plot_api/edit_types\\\":827,\\\"../../cartesian/layout_attributes\\\":859}],890:[function(t,e,r){\\\"use strict\\\";var n=t(\\\"tinycolor2\\\").mix,i=t(\\\"../../../lib\\\"),a=t(\\\"../../../plot_api/plot_template\\\"),o=t(\\\"./axis_attributes\\\"),s=t(\\\"../../cartesian/type_defaults\\\"),l=t(\\\"../../cartesian/axis_defaults\\\"),c=[\\\"xaxis\\\",\\\"yaxis\\\",\\\"zaxis\\\"];e.exports=function(t,e,r){var u,f;function h(t,e){return i.coerce(u,f,o,t,e)}for(var p=0;p<c.length;p++){var d=c[p];u=t[d]||{},(f=a.newContainer(e,d))._id=d[0]+r.scene,f._name=d,s(u,f,h,r),l(u,f,h,{font:r.font,letter:d[0],data:r.data,showGrid:!0,noTickson:!0,noTicklabelmode:!0,noTicklabelposition:!0,noTicklabeloverflow:!0,bgColor:r.bgColor,calendar:r.calendar},r.fullLayout),h(\\\"gridcolor\\\",n(f.color,r.bgColor,13600/187).toRgbString()),h(\\\"title.text\\\",d[0]),f.setScale=i.noop,h(\\\"showspikes\\\")&&(h(\\\"spikesides\\\"),h(\\\"spikethickness\\\"),h(\\\"spikecolor\\\",f.color)),h(\\\"showaxeslabels\\\"),h(\\\"showbackground\\\")&&h(\\\"backgroundcolor\\\")}}},{\\\"../../../lib\\\":795,\\\"../../../plot_api/plot_template\\\":834,\\\"../../cartesian/axis_defaults\\\":847,\\\"../../cartesian/type_defaults\\\":870,\\\"./axis_attributes\\\":889,tinycolor2:590}],891:[function(t,e,r){\\\"use strict\\\";var n=t(\\\"../../../lib/str2rgbarray\\\"),i=t(\\\"../../../lib\\\"),a=[\\\"xaxis\\\",\\\"yaxis\\\",\\\"zaxis\\\"];function o(){this.bounds=[[-10,-10,-10],[10,10,10]],this.ticks=[[],[],[]],this.tickEnable=[!0,!0,!0],this.tickFont=[\\\"sans-serif\\\",\\\"sans-serif\\\",\\\"sans-serif\\\"],this.tickSize=[12,12,12],this.tickAngle=[0,0,0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[18,18,18],this.labels=[\\\"x\\\",\\\"y\\\",\\\"z\\\"],this.labelEnable=[!0,!0,!0],this.labelFont=[\\\"Open Sans\\\",\\\"Open Sans\\\",\\\"Open Sans\\\"],this.labelSize=[20,20,20],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[30,30,30],this.lineEnable=[!0,!0,!0],this.lineMirror=[!1,!1,!1],this.lineWidth=[1,1,1],this.lineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.lineTickEnable=[!0,!0,!0],this.lineTickMirror=[!1,!1,!1],this.lineTickLength=[10,10,10],this.lineTickWidth=[1,1,1],this.lineTickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.gridEnable=[!0,!0,!0],this.gridWidth=[1,1,1],this.gridColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroEnable=[!0,!0,!0],this.zeroLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroLineWidth=[2,2,2],this.backgroundEnable=[!0,!0,!0],this.backgroundColor=[[.8,.8,.8,.5],[.8,.8,.8,.5],[.8,.8,.8,.5]],this._defaultTickPad=this.tickPad.slice(),this._defaultLabelPad=this.labelPad.slice(),this._defaultLineTickLength=this.lineTickLength.slice()}o.prototype.merge=function(t,e){for(var r=0;r<3;++r){var o=e[a[r]];o.visible?(this.labels[r]=t._meta?i.templateString(o.title.text,t._meta):o.title.text,\\\"font\\\"in o.title&&(o.title.font.color&&(this.labelColor[r]=n(o.title.font.color)),o.title.font.family&&(this.labelFont[r]=o.title.font.family),o.title.font.size&&(this.labelSize[r]=o.title.font.size)),\\\"showline\\\"in o&&(this.lineEnable[r]=o.showline),\\\"linecolor\\\"in o&&(this.lineColor[r]=n(o.linecolor)),\\\"linewidth\\\"in o&&(this.lineWidth[r]=o.linewidth),\\\"showgrid\\\"in o&&(this.gridEnable[r]=o.showgrid),\\\"gridcolor\\\"in o&&(this.gridColor[r]=n(o.gridcolor)),\\\"gridwidth\\\"in o&&(this.gridWidth[r]=o.gridwidth),\\\"log\\\"===o.type?this.zeroEnable[r]=!1:\\\"zeroline\\\"in o&&(this.zeroEnable[r]=o.zeroline),\\\"zerolinecolor\\\"in o&&(this.zeroLineColor[r]=n(o.zerolinecolor)),\\\"zerolinewidth\\\"in o&&(this.zeroLineWidth[r]=o.zerolinewidth),\\\"ticks\\\"in o&&o.ticks?this.lineTickEnable[r]=!0:this.lineTickEnable[r]=!1,\\\"ticklen\\\"in o&&(this.lineTickLength[r]=this._defaultLineTickLength[r]=o.ticklen),\\\"tickcolor\\\"in o&&(this.lineTickColor[r]=n(o.tickcolor)),\\\"tickwidth\\\"in o&&(this.lineTickWidth[r]=o.tickwidth),\\\"tickangle\\\"in o&&(this.tickAngle[r]=\\\"auto\\\"===o.tickangle?-3600:Math.PI*-o.tickangle/180),\\\"showticklabels\\\"in o&&(this.tickEnable[r]=o.showticklabels),\\\"tickfont\\\"in o&&(o.tickfont.color&&(this.tickColor[r]=n(o.tickfont.color)),o.tickfont.family&&(this.tickFont[r]=o.tickfont.family),o.tickfont.size&&(this.tickSize[r]=o.tickfont.size)),\\\"mirror\\\"in o?-1!==[\\\"ticks\\\",\\\"all\\\",\\\"allticks\\\"].indexOf(o.mirror)?(this.lineTickMirror[r]=!0,this.lineMirror[r]=!0):!0===o.mirror?(this.lineTickMirror[r]=!1,this.lineMirror[r]=!0):(this.lineTickMirror[r]=!1,this.lineMirror[r]=!1):this.lineMirror[r]=!1,\\\"showbackground\\\"in o&&!1!==o.showbackground?(this.backgroundEnable[r]=!0,this.backgroundColor[r]=n(o.backgroundcolor)):this.backgroundEnable[r]=!1):(this.tickEnable[r]=!1,this.labelEnable[r]=!1,this.lineEnable[r]=!1,this.lineTickEnable[r]=!1,this.gridEnable[r]=!1,this.zeroEnable[r]=!1,this.backgroundEnable[r]=!1)}},e.exports=function(t,e){var r=new o;return r.merge(t,e),r}},{\\\"../../../lib\\\":795,\\\"../../../lib/str2rgbarray\\\":819}],892:[function(t,e,r){\\\"use strict\\\";var n=t(\\\"../../../lib\\\"),i=t(\\\"../../../components/color\\\"),a=t(\\\"../../../registry\\\"),o=t(\\\"../../subplot_defaults\\\"),s=t(\\\"./axis_defaults\\\"),l=t(\\\"./layout_attributes\\\"),c=t(\\\"../../get_data\\\").getSubplotData;function u(t,e,r,n){for(var o=r(\\\"bgcolor\\\"),l=i.combine(o,n.paper_bgcolor),u=[\\\"up\\\",\\\"center\\\",\\\"eye\\\"],f=0;f<u.length;f++)r(\\\"camera.\\\"+u[f]+\\\".x\\\"),r(\\\"camera.\\\"+u[f]+\\\".y\\\"),r(\\\"camera.\\\"+u[f]+\\\".z\\\");r(\\\"camera.projection.type\\\");var h=!!r(\\\"aspectratio.x\\\")&&!!r(\\\"aspectratio.y\\\")&&!!r(\\\"aspectratio.z\\\"),p=r(\\\"aspectmode\\\",h?\\\"manual\\\":\\\"auto\\\");h||(t.aspectratio=e.aspectratio={x:1,y:1,z:1},\\\"manual\\\"===p&&(e.aspectmode=\\\"auto\\\"),t.aspectmode=e.aspectmode);var d=c(n.fullData,\\\"gl3d\\\",n.id);s(t,e,{font:n.font,scene:n.id,data:d,bgColor:l,calendar:n.calendar,autotypenumbersDflt:n.autotypenumbersDflt,fullLayout:n.fullLayout}),a.getComponentMethod(\\\"annotations3d\\\",\\\"handleDefaults\\\")(t,e,n);var m=n.getDfltFromLayout(\\\"dragmode\\\");if(!1!==m&&!m)if(m=\\\"orbit\\\",t.camera&&t.camera.up){var g=t.camera.up.x,v=t.camera.up.y,y=t.camera.up.z;0!==y&&(g&&v&&y?y/Math.sqrt(g*g+v*v+y*y)>.999&&(m=\\\"turntable\\\"):m=\\\"turntable\\\")}else m=\\\"turntable\\\";r(\\\"dragmode\\\",m),r(\\\"hovermode\\\",n.getDfltFromLayout(\\\"hovermode\\\"))}e.exports=function(t,e,r){var i=e._basePlotModules.length>1;o(t,e,r,{type:\\\"gl3d\\\",attributes:l,handleDefaults:u,fullLayout:e,font:e.font,fullData:r,getDfltFromLayout:function(e){if(!i)return n.validate(t[e],l[e])?t[e]:void 0},autotypenumbersDflt:e.autotypenumbers,paper_bgcolor:e.paper_bgcolor,calendar:e.calendar})}},{\\\"../../../components/color\\\":658,\\\"../../../lib\\\":795,\\\"../../../registry\\\":923,\\\"../../get_data\\\":882,\\\"../../subplot_defaults\\\":917,\\\"./axis_defaults\\\":890,\\\"./layout_attributes\\\":893}],893:[function(t,e,r){\\\"use strict\\\";var n=t(\\\"./axis_attributes\\\"),i=t(\\\"../../domain\\\").attributes,a=t(\\\"../../../lib/extend\\\").extendFlat,o=t(\\\"../../../lib\\\").counterRegex;function s(t,e,r){return{x:{valType:\\\"number\\\",dflt:t,editType:\\\"camera\\\"},y:{valType:\\\"number\\\",dflt:e,editType:\\\"camera\\\"},z:{valType:\\\"number\\\",dflt:r,editType:\\\"camera\\\"},editType:\\\"camera\\\"}}e.exports={_arrayAttrRegexps:[o(\\\"scene\\\",\\\".annotations\\\",!0)],bgcolor:{valType:\\\"color\\\",dflt:\\\"rgba(0,0,0,0)\\\",editType:\\\"plot\\\"},camera:{up:a(s(0,0,1),{}),center:a(s(0,0,0),{}),eye:a(s(1.25,1.25,1.25),{}),projection:{type:{valType:\\\"enumerated\\\",values:[\\\"perspective\\\",\\\"orthographic\\\"],dflt:\\\"perspective\\\",editType:\\\"calc\\\"},editType:\\\"calc\\\"},editType:\\\"camera\\\"},domain:i({name:\\\"scene\\\",editType:\\\"plot\\\"}),aspectmode:{valType:\\\"enumerated\\\",values:[\\\"auto\\\",\\\"cube\\\",\\\"data\\\",\\\"manual\\\"],dflt:\\\"auto\\\",editType:\\\"plot\\\",impliedEdits:{\\\"aspectratio.x\\\":void 0,\\\"aspectratio.y\\\":void 0,\\\"aspectratio.z\\\":void 0}},aspectratio:{x:{valType:\\\"number\\\",min:0,editType:\\\"plot\\\",impliedEdits:{\\\"^aspectmode\\\":\\\"manual\\\"}},y:{valType:\\\"number\\\",min:0,editType:\\\"plot\\\",impliedEdits:{\\\"^aspectmode\\\":\\\"manual\\\"}},z:{valType:\\\"number\\\",min:0,editType:\\\"plot\\\",impliedEdits:{\\\"^aspectmode\\\":\\\"manual\\\"}},editType:\\\"plot\\\",impliedEdits:{aspectmode:\\\"manual\\\"}},xaxis:n,yaxis:n,zaxis:n,dragmode:{valType:\\\"enumerated\\\",values:[\\\"orbit\\\",\\\"turntable\\\",\\\"zoom\\\",\\\"pan\\\",!1],editType:\\\"plot\\\"},hovermode:{valType:\\\"enumerated\\\",values:[\\\"closest\\\",!1],dflt:\\\"closest\\\",editType:\\\"modebar\\\"},uirevision:{valType:\\\"any\\\",editType:\\\"none\\\"},editType:\\\"plot\\\",_deprecated:{cameraposition:{valType:\\\"info_array\\\",editType:\\\"camera\\\"}}}},{\\\"../../../lib\\\":795,\\\"../../../lib/extend\\\":785,\\\"../../domain\\\":872,\\\"./axis_attributes\\\":889}],894:[function(t,e,r){\\\"use strict\\\";var n=t(\\\"../../../lib/str2rgbarray\\\"),i=[\\\"xaxis\\\",\\\"yaxis\\\",\\\"zaxis\\\"];function a(){this.enabled=[!0,!0,!0],this.colors=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.drawSides=[!0,!0,!0],this.lineWidth=[1,1,1]}a.prototype.merge=function(t){for(var e=0;e<3;++e){var r=t[i[e]];r.visible?(this.enabled[e]=r.showspikes,this.colors[e]=n(r.spikecolor),this.drawSides[e]=r.spikesides,this.lineWidth[e]=r.spikethickness):(this.enabled[e]=!1,this.drawSides[e]=!1)}},e.exports=function(t){var e=new a;return e.merge(t),e}},{\\\"../../../lib/str2rgbarray\\\":819}],895:[function(t,e,r){\\\"use strict\\\";e.exports=function(t){for(var e=t.axesOptions,r=t.glplot.axesPixels,s=t.fullSceneLayout,l=[[],[],[]],c=0;c<3;++c){var u=s[a[c]];if(u._length=(r[c].hi-r[c].lo)*r[c].pixelsPerDataUnit/t.dataScale[c],Math.abs(u._length)===1/0||isNaN(u._length))l[c]=[];else{u._input_range=u.range.slice(),u.range[0]=r[c].lo/t.dataScale[c],u.range[1]=r[c].hi/t.dataScale[c],u._m=1/(t.dataScale[c]*r[c].pixelsPerDataUnit),u.range[0]===u.range[1]&&(u.range[0]-=1,u.range[1]+=1);var f=u.tickmode;if(\\\"auto\\\"===u.tickmode){u.tickmode=\\\"linear\\\";var h=u.nticks||i.constrain(u._length/40,4,9);n.autoTicks(u,Math.abs(u.range[1]-u.range[0])/h)}for(var p=n.calcTicks(u,{msUTC:!0}),d=0;d<p.length;++d)p[d].x=p[d].x*t.dataScale[c],\\\"date\\\"===u.type&&(p[d].text=p[d].text.replace(/\\\\<br\\\\>/g,\\\" \\\"));l[c]=p,u.tickmode=f}}e.ticks=l;for(c=0;c<3;++c){o[c]=.5*(t.glplot.bounds[0][c]+t.glplot.bounds[1][c]);for(d=0;d<2;++d)e.bounds[d][c]=t.glplot.bounds[d][c]}t.contourLevels=function(t){for(var e=new Array(3),r=0;r<3;++r){for(var n=t[r],i=new Array(n.length),a=0;a<n.length;++a)i[a]=n[a].x;e[r]=i}return e}(l)};var n=t(\\\"../../cartesian/axes\\\"),i=t(\\\"../../../lib\\\"),a=[\\\"xaxis\\\",\\\"yaxis\\\",\\\"zaxis\\\"],o=[0,0,0]},{\\\"../../../lib\\\":795,\\\"../../cartesian/axes\\\":845}],896:[function(t,e,r){\\\"use strict\\\";function n(t,e){var r,n,i=[0,0,0,0];for(r=0;r<4;++r)for(n=0;n<4;++n)i[n]+=t[4*r+n]*e[r];return i}e.exports=function(t,e){return n(t.projection,n(t.view,n(t.model,[e[0],e[1],e[2],1])))}},{}],897:[function(t,e,r){\\\"use strict\\\";var n,i,a=t(\\\"gl-plot3d\\\"),o=a.createCamera,s=a.createScene,l=t(\\\"webgl-context\\\"),c=t(\\\"has-passive-events\\\"),u=t(\\\"../../registry\\\"),f=t(\\\"../../lib\\\"),h=f.preserveDrawingBuffer(),p=t(\\\"../../plots/cartesian/axes\\\"),d=t(\\\"../../components/fx\\\"),m=t(\\\"../../lib/str2rgbarray\\\"),g=t(\\\"../../lib/show_no_webgl_msg\\\"),v=t(\\\"./project\\\"),y=t(\\\"./layout/convert\\\"),x=t(\\\"./layout/spikes\\\"),b=t(\\\"./layout/tick_marks\\\");function _(t,e){var r=document.createElement(\\\"div\\\"),n=t.container;this.graphDiv=t.graphDiv;var i=document.createElementNS(\\\"http://www.w3.org/2000/svg\\\",\\\"svg\\\");i.style.position=\\\"absolute\\\",i.style.top=i.style.left=\\\"0px\\\",i.style.width=i.style.height=\\\"100%\\\",i.style[\\\"z-index\\\"]=20,i.style[\\\"pointer-events\\\"]=\\\"none\\\",r.appendChild(i),this.svgContainer=i,r.id=t.id,r.style.position=\\\"absolute\\\",r.style.top=r.style.left=\\\"0px\\\",r.style.width=r.style.height=\\\"100%\\\",n.appendChild(r),this.fullLayout=e,this.id=t.id||\\\"scene\\\",this.fullSceneLayout=e[this.id],this.plotArgs=[[],{},{}],this.axesOptions=y(e,e[this.id]),this.spikeOptions=x(e[this.id]),this.container=r,this.staticMode=!!t.staticPlot,this.pixelRatio=this.pixelRatio||t.plotGlPixelRatio||2,this.dataScale=[1,1,1],this.contourLevels=[[],[],[]],this.convertAnnotations=u.getComponentMethod(\\\"annotations3d\\\",\\\"convert\\\"),this.drawAnnotations=u.getComponentMethod(\\\"annotations3d\\\",\\\"draw\\\"),this.initializeGLPlot()}var w=_.prototype;w.prepareOptions=function(){var t={canvas:this.canvas,gl:this.gl,glOptions:{preserveDrawingBuffer:h,premultipliedAlpha:!0,antialias:!0},container:this.container,axes:this.axesOptions,spikes:this.spikeOptions,pickRadius:10,snapToData:!0,autoScale:!0,autoBounds:!1,cameraObject:this.camera,pixelRatio:this.pixelRatio};if(this.staticMode){if(!(i||(n=document.createElement(\\\"canvas\\\"),i=l({canvas:n,preserveDrawingBuffer:!0,premultipliedAlpha:!0,antialias:!0}))))throw new Error(\\\"error creating static canvas/context for image server\\\");t.gl=i,t.canvas=n}return t};var T=!0;w.tryCreatePlot=function(){var t=this.prepareOptions(),e=!0;try{this.glplot=s(t)}catch(r){if(this.staticMode||!T||h)e=!1;else{f.warn([\\\"webgl setup failed possibly due to\\\",\\\"false preserveDrawingBuffer config.\\\",\\\"The mobile/tablet device may not be detected by is-mobile module.\\\",\\\"Enabling preserveDrawingBuffer in second attempt to create webgl scene...\\\"].join(\\\" \\\"));try{h=t.glOptions.preserveDrawingBuffer=!0,this.glplot=s(t)}catch(r){h=t.glOptions.preserveDrawingBuffer=!1,e=!1}}}return T=!1,e},w.initializeGLCamera=function(){var t=this.fullSceneLayout.camera,e=\\\"orthographic\\\"===t.projection.type;this.camera=o(this.container,{center:[t.center.x,t.center.y,t.center.z],eye:[t.eye.x,t.eye.y,t.eye.z],up:[t.up.x,t.up.y,t.up.z],_ortho:e,zoomMin:.01,zoomMax:100,mode:\\\"orbit\\\"})},w.initializeGLPlot=function(){var t=this;if(t.initializeGLCamera(),!t.tryCreatePlot())return g(t);t.traces={},t.make4thDimension();var e=t.graphDiv,r=e.layout,n=function(){var e={};return t.isCameraChanged(r)&&(e[t.id+\\\".camera\\\"]=t.getCamera()),t.isAspectChanged(r)&&(e[t.id+\\\".aspectratio\\\"]=t.glplot.getAspectratio(),\\\"manual\\\"!==r[t.id].aspectmode&&(t.fullSceneLayout.aspectmode=r[t.id].aspectmode=e[t.id+\\\".aspectmode\\\"]=\\\"manual\\\")),e},i=function(t){if(!1!==t.fullSceneLayout.dragmode){var e=n();t.saveLayout(r),t.graphDiv.emit(\\\"plotly_relayout\\\",e)}};return t.glplot.canvas&&(t.glplot.canvas.addEventListener(\\\"mouseup\\\",(function(){i(t)})),t.glplot.canvas.addEventListener(\\\"wheel\\\",(function(r){if(e._context._scrollZoom.gl3d){if(t.camera._ortho){var n=r.deltaX>r.deltaY?1.1:1/1.1,a=t.glplot.getAspectratio();t.glplot.setAspectratio({x:n*a.x,y:n*a.y,z:n*a.z})}i(t)}}),!!c&&{passive:!1}),t.glplot.canvas.addEventListener(\\\"mousemove\\\",(function(){if(!1!==t.fullSceneLayout.dragmode&&0!==t.camera.mouseListener.buttons){var e=n();t.graphDiv.emit(\\\"plotly_relayouting\\\",e)}})),t.staticMode||t.glplot.canvas.addEventListener(\\\"webglcontextlost\\\",(function(r){e&&e.emit&&e.emit(\\\"plotly_webglcontextlost\\\",{event:r,layer:t.id})}),!1)),t.glplot.oncontextloss=function(){t.recoverContext()},t.glplot.onrender=function(){t.render()},!0},w.render=function(){var t,e=this,r=e.graphDiv,n=e.svgContainer,i=e.container.getBoundingClientRect();r._fullLayout._calcInverseTransform(r);var a=r._fullLayout._invScaleX,o=r._fullLayout._invScaleY,s=i.width*a,l=i.height*o;n.setAttributeNS(null,\\\"viewBox\\\",\\\"0 0 \\\"+s+\\\" \\\"+l),n.setAttributeNS(null,\\\"width\\\",s),n.setAttributeNS(null,\\\"height\\\",l),b(e),e.glplot.axes.update(e.axesOptions);for(var c,u=Object.keys(e.traces),h=null,m=e.glplot.selection,g=0;g<u.length;++g)\\\"skip\\\"!==(t=e.traces[u[g]]).data.hoverinfo&&t.handlePick(m)&&(h=t),t.setContourLevels&&t.setContourLevels();function y(t,r,n){var i=e.fullSceneLayout[t+\\\"axis\\\"];return\\\"log\\\"!==i.type&&(r=i.d2l(r)),p.hoverLabelText(i,r,n)}if(null!==h){var x=v(e.glplot.cameraParams,m.dataCoordinate);t=h.data;var _,w=r._fullData[t.index],T=m.index,k={xLabel:y(\\\"x\\\",m.traceCoordinate[0],t.xhoverformat),yLabel:y(\\\"y\\\",m.traceCoordinate[1],t.yhoverformat),zLabel:y(\\\"z\\\",m.traceCoordinate[2],t.zhoverformat)},M=d.castHoverinfo(w,e.fullLayout,T),A=(M||\\\"\\\").split(\\\"+\\\"),S=M&&\\\"all\\\"===M;w.hovertemplate||S||(-1===A.indexOf(\\\"x\\\")&&(k.xLabel=void 0),-1===A.indexOf(\\\"y\\\")&&(k.yLabel=void 0),-1===A.indexOf(\\\"z\\\")&&(k.zLabel=void 0),-1===A.indexOf(\\\"text\\\")&&(m.textLabel=void 0),-1===A.indexOf(\\\"name\\\")&&(h.name=void 0));var E=[];\\\"cone\\\"===t.type||\\\"streamtube\\\"===t.type?(k.uLabel=y(\\\"x\\\",m.traceCoordinate[3],t.uhoverformat),(S||-1!==A.indexOf(\\\"u\\\"))&&E.push(\\\"u: \\\"+k.uLabel),k.vLabel=y(\\\"y\\\",m.traceCoordinate[4],t.vhoverformat),(S||-1!==A.indexOf(\\\"v\\\"))&&E.push(\\\"v: \\\"+k.vLabel),k.wLabel=y(\\\"z\\\",m.traceCoordinate[5],t.whoverformat),(S||-1!==A.indexOf(\\\"w\\\"))&&E.push(\\\"w: \\\"+k.wLabel),k.normLabel=m.traceCoordinate[6].toPrecision(3),(S||-1!==A.indexOf(\\\"norm\\\"))&&E.push(\\\"norm: \\\"+k.normLabel),\\\"streamtube\\\"===t.type&&(k.divergenceLabel=m.traceCoordinate[7].toPrecision(3),(S||-1!==A.indexOf(\\\"divergence\\\"))&&E.push(\\\"divergence: \\\"+k.divergenceLabel)),m.textLabel&&E.push(m.textLabel),_=E.join(\\\"<br>\\\")):\\\"isosurface\\\"===t.type||\\\"volume\\\"===t.type?(k.valueLabel=p.hoverLabelText(e._mockAxis,e._mockAxis.d2l(m.traceCoordinate[3]),t.valuehoverformat),E.push(\\\"value: \\\"+k.valueLabel),m.textLabel&&E.push(m.textLabel),_=E.join(\\\"<br>\\\")):_=m.textLabel;var L={x:m.traceCoordinate[0],y:m.traceCoordinate[1],z:m.traceCoordinate[2],data:w._input,fullData:w,curveNumber:w.index,pointNumber:T};d.appendArrayPointValue(L,w,T),t._module.eventData&&(L=w._module.eventData(L,m,w,{},T));var C={points:[L]};e.fullSceneLayout.hovermode&&d.loneHover({trace:w,x:(.5+.5*x[0]/x[3])*s,y:(.5-.5*x[1]/x[3])*l,xLabel:k.xLabel,yLabel:k.yLabel,zLabel:k.zLabel,text:_,name:h.name,color:d.castHoverOption(w,T,\\\"bgcolor\\\")||h.color,borderColor:d.castHoverOption(w,T,\\\"bordercolor\\\"),fontFamily:d.castHoverOption(w,T,\\\"font.family\\\"),fontSize:d.castHoverOption(w,T,\\\"font.size\\\"),fontColor:d.castHoverOption(w,T,\\\"font.color\\\"),nameLength:d.castHoverOption(w,T,\\\"namelength\\\"),textAlign:d.castHoverOption(w,T,\\\"align\\\"),hovertemplate:f.castOption(w,T,\\\"hovertemplate\\\"),hovertemplateLabels:f.extendFlat({},L,k),eventData:[L]},{container:n,gd:r}),m.buttons&&m.distance<5?r.emit(\\\"plotly_click\\\",C):r.emit(\\\"plotly_hover\\\",C),c=C}else d.loneUnhover(n),r.emit(\\\"plotly_unhover\\\",c);e.drawAnnotations(e)},w.recoverContext=function(){var t=this;t.glplot.dispose();var e=function(){t.glplot.gl.isContextLost()?requestAnimationFrame(e):t.initializeGLPlot()?t.plot.apply(t,t.plotArgs):f.error(\\\"Catastrophic and unrecoverable WebGL error. Context lost.\\\")};requestAnimationFrame(e)};var k=[\\\"xaxis\\\",\\\"yaxis\\\",\\\"zaxis\\\"];function M(t,e,r){for(var n=t.fullSceneLayout,i=0;i<3;i++){var a=k[i],o=a.charAt(0),s=n[a],l=e[o],c=e[o+\\\"calendar\\\"],u=e[\\\"_\\\"+o+\\\"length\\\"];if(f.isArrayOrTypedArray(l))for(var h,p=0;p<(u||l.length);p++)if(f.isArrayOrTypedArray(l[p]))for(var d=0;d<l[p].length;++d)h=s.d2l(l[p][d],0,c),!isNaN(h)&&isFinite(h)&&(r[0][i]=Math.min(r[0][i],h),r[1][i]=Math.max(r[1][i],h));else h=s.d2l(l[p],0,c),!isNaN(h)&&isFinite(h)&&(r[0][i]=Math.min(r[0][i],h),r[1][i]=Math.max(r[1][i],h));else r[0][i]=Math.min(r[0][i],0),r[1][i]=Math.max(r[1][i],u-1)}}w.plot=function(t,e,r){if(this.plotArgs=[t,e,r],!this.glplot.contextLost){var n,i,a,o,s,l,c=e[this.id],u=r[this.id];this.fullLayout=e,this.fullSceneLayout=c,this.axesOptions.merge(e,c),this.spikeOptions.merge(c),this.setViewport(c),this.updateFx(c.dragmode,c.hovermode),this.camera.enableWheel=this.graphDiv._context._scrollZoom.gl3d,this.glplot.setClearColor(m(c.bgcolor)),this.setConvert(s),t?Array.isArray(t)||(t=[t]):t=[];var f=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(a=0;a<t.length;++a)!0===(n=t[a]).visible&&0!==n._length&&M(this,n,f);!function(t,e){for(var r=t.fullSceneLayout,n=r.annotations||[],i=0;i<3;i++)for(var a=k[i],o=a.charAt(0),s=r[a],l=0;l<n.length;l++){var c=n[l];if(c.visible){var u=s.r2l(c[o]);!isNaN(u)&&isFinite(u)&&(e[0][i]=Math.min(e[0][i],u),e[1][i]=Math.max(e[1][i],u))}}}(this,f);var 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types\\\",editType:\\\"calc\\\"},separators:{valType:\\\"string\\\",editType:\\\"plot\\\"},hidesources:{valType:\\\"boolean\\\",dflt:!1,editType:\\\"plot\\\"},showlegend:{valType:\\\"boolean\\\",editType:\\\"legend\\\"},colorway:{valType:\\\"colorlist\\\",dflt:a.defaults,editType:\\\"calc\\\"},datarevision:{valType:\\\"any\\\",editType:\\\"calc\\\"},uirevision:{valType:\\\"any\\\",editType:\\\"none\\\"},editrevision:{valType:\\\"any\\\",editType:\\\"none\\\"},selectionrevision:{valType:\\\"any\\\",editType:\\\"none\\\"},template:{valType:\\\"any\\\",editType:\\\"calc\\\"},newshape:o.newshape,activeshape:o.activeshape,meta:{valType:\\\"any\\\",arrayOk:!0,editType:\\\"plot\\\"},transition:l({},i.transition,{editType:\\\"none\\\"}),_deprecated:{title:{valType:\\\"string\\\",editType:\\\"layoutstyle\\\"},titlefont:n({editType:\\\"layoutstyle\\\"})}}},{\\\"../components/color/attributes\\\":657,\\\"../components/shapes/draw_newshape/attributes\\\":743,\\\"../lib/extend\\\":785,\\\"./animation_attributes\\\":839,\\\"./font_attributes\\\":873,\\\"./pad_attributes\\\":908}],901:[function(t,e,r){\\\"use 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\\\"),o={\\\"open-street-map\\\":{id:\\\"osm\\\",version:8,sources:{\\\"plotly-osm-tiles\\\":{type:\\\"raster\\\",attribution:n,tiles:[\\\"https://a.tile.openstreetmap.org/{z}/{x}/{y}.png\\\",\\\"https://b.tile.openstreetmap.org/{z}/{x}/{y}.png\\\"],tileSize:256}},layers:[{id:\\\"plotly-osm-tiles\\\",type:\\\"raster\\\",source:\\\"plotly-osm-tiles\\\",minzoom:0,maxzoom:22}]},\\\"white-bg\\\":{id:\\\"white-bg\\\",version:8,sources:{},layers:[{id:\\\"white-bg\\\",type:\\\"background\\\",paint:{\\\"background-color\\\":\\\"#FFFFFF\\\"},minzoom:0,maxzoom:22}]},\\\"carto-positron\\\":{id:\\\"carto-positron\\\",version:8,sources:{\\\"plotly-carto-positron\\\":{type:\\\"raster\\\",attribution:i,tiles:[\\\"https://cartodb-basemaps-c.global.ssl.fastly.net/light_all/{z}/{x}/{y}.png\\\"],tileSize:256}},layers:[{id:\\\"plotly-carto-positron\\\",type:\\\"raster\\\",source:\\\"plotly-carto-positron\\\",minzoom:0,maxzoom:22}]},\\\"carto-darkmatter\\\":{id:\\\"carto-darkmatter\\\",version:8,sources:{\\\"plotly-carto-darkmatter\\\":{type:\\\"raster\\\",attribution:i,tiles:[\\\"https://cartodb-basemaps-c.global.ssl.fastly.net/dark_all/{z}/{x}/{y}.png\\\"],tileSize:256}},layers:[{id:\\\"plotly-carto-darkmatter\\\",type:\\\"raster\\\",source:\\\"plotly-carto-darkmatter\\\",minzoom:0,maxzoom:22}]},\\\"stamen-terrain\\\":{id:\\\"stamen-terrain\\\",version:8,sources:{\\\"plotly-stamen-terrain\\\":{type:\\\"raster\\\",attribution:a,tiles:[\\\"https://stamen-tiles.a.ssl.fastly.net/terrain/{z}/{x}/{y}.png\\\"],tileSize:256}},layers:[{id:\\\"plotly-stamen-terrain\\\",type:\\\"raster\\\",source:\\\"plotly-stamen-terrain\\\",minzoom:0,maxzoom:22}]},\\\"stamen-toner\\\":{id:\\\"stamen-toner\\\",version:8,sources:{\\\"plotly-stamen-toner\\\":{type:\\\"raster\\\",attribution:a,tiles:[\\\"https://stamen-tiles.a.ssl.fastly.net/toner/{z}/{x}/{y}.png\\\"],tileSize:256}},layers:[{id:\\\"plotly-stamen-toner\\\",type:\\\"raster\\\",source:\\\"plotly-stamen-toner\\\",minzoom:0,maxzoom:22}]},\\\"stamen-watercolor\\\":{id:\\\"stamen-watercolor\\\",version:8,sources:{\\\"plotly-stamen-watercolor\\\":{type:\\\"raster\\\",attribution:['Map 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e,r,s=this,c=s.gd,u=s.layers,f=t._zoomlayer,h=S.MINZOOM,p=S.OFFEDGE,d=s.radius,m=s.innerRadius,x=s.cx,T=s.cy,k=s.cxx,M=s.cyy,A=s.sectorInRad,L=s.vangles,C=s.radialAxis,P=E.clampTiny,I=E.findXYatLength,O=E.findEnclosingVertexAngles,z=S.cornerHalfWidth,D=S.cornerLen/2,R=g.makeDragger(u,\\\"path\\\",\\\"maindrag\\\",\\\"crosshair\\\");n.select(R).attr(\\\"d\\\",s.pathSubplot()).attr(\\\"transform\\\",l(x,T));var F,B,N,j,U,V,q,H,G,Y={element:R,gd:c,subplot:s.id,plotinfo:{id:s.id,xaxis:s.xaxis,yaxis:s.yaxis},xaxes:[s.xaxis],yaxes:[s.yaxis]};function W(t,e){return Math.sqrt(t*t+e*e)}function X(t,e){return W(t-k,e-M)}function Z(t,e){return Math.atan2(M-e,t-k)}function J(t,e){return[t*Math.cos(e),t*Math.sin(-e)]}function K(t,e){if(0===t)return s.pathSector(2*z);var r=D/t,n=e-r,i=e+r,a=Math.max(0,Math.min(t,d)),o=a-z,l=a+z;return\\\"M\\\"+J(o,n)+\\\"A\\\"+[o,o]+\\\" 0,0,0 \\\"+J(o,i)+\\\"L\\\"+J(l,i)+\\\"A\\\"+[l,l]+\\\" 0,0,1 \\\"+J(l,n)+\\\"Z\\\"}function Q(t,e,r){if(0===t)return 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i,a=t.cd[0].trace.hoveron,o=[];return-1!==a.indexOf(\\\"boxes\\\")&&(o=o.concat(l(t,e,r,n))),-1!==a.indexOf(\\\"points\\\")&&(i=c(t,e,r)),\\\"closest\\\"===n?i?[i]:o:i?(o.push(i),o):o},hoverOnBoxes:l,hoverOnPoints:c}},{\\\"../../components/color\\\":658,\\\"../../components/fx\\\":698,\\\"../../lib\\\":795,\\\"../../plots/cartesian/axes\\\":845}],964:[function(t,e,r){\\\"use 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c=\\\"\\\",u=0;u<o.length;u++)c+=\\\"M\\\"+o[u].join(\\\"L\\\")+\\\"Z\\\";i.ensureSingle(a,\\\"path\\\",\\\"\\\").attr(\\\"d\\\",c)}}},{\\\"../../components/colorscale\\\":670,\\\"../../components/drawing\\\":680,\\\"../../lib\\\":795,\\\"../../lib/svg_text_utils\\\":820,\\\"../../plots/cartesian/axes\\\":845,\\\"../../plots/cartesian/set_convert\\\":865,\\\"../heatmap/plot\\\":1088,\\\"./close_boundaries\\\":1022,\\\"./constants\\\":1024,\\\"./convert_to_constraints\\\":1028,\\\"./empty_pathinfo\\\":1030,\\\"./find_all_paths\\\":1032,\\\"./make_crossings\\\":1037,\\\"@plotly/d3\\\":58}],1039:[function(t,e,r){\\\"use strict\\\";var n=t(\\\"../../plots/cartesian/axes\\\"),i=t(\\\"../../lib\\\");function a(t,e,r){var i={type:\\\"linear\\\",range:[t,e]};return n.autoTicks(i,(e-t)/(r||15)),i}e.exports=function(t,e){var r=t.contours;if(t.autocontour){var o=t.zmin,s=t.zmax;(t.zauto||void 0===o)&&(o=i.aggNums(Math.min,null,e)),(t.zauto||void 0===s)&&(s=i.aggNums(Math.max,null,e));var 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n=t(\\\"../../components/colorscale/defaults\\\"),i=t(\\\"./label_defaults\\\");e.exports=function(t,e,r,a,o){var s,l=r(\\\"contours.coloring\\\"),c=\\\"\\\";\\\"fill\\\"===l&&(s=r(\\\"contours.showlines\\\")),!1!==s&&(\\\"lines\\\"!==l&&(c=r(\\\"line.color\\\",\\\"#000\\\")),r(\\\"line.width\\\",.5),r(\\\"line.dash\\\")),\\\"none\\\"!==l&&(!0!==t.showlegend&&(e.showlegend=!1),e._dfltShowLegend=!1,n(t,e,a,r,{prefix:\\\"\\\",cLetter:\\\"z\\\"})),r(\\\"line.smoothing\\\"),i(r,a,c,o)}},{\\\"../../components/colorscale/defaults\\\":668,\\\"./label_defaults\\\":1035}],1042:[function(t,e,r){\\\"use strict\\\";var 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n=t(\\\"@plotly/d3\\\"),i=t(\\\"../carpet/map_1d_array\\\"),a=t(\\\"../carpet/makepath\\\"),o=t(\\\"../../components/drawing\\\"),s=t(\\\"../../lib\\\"),l=t(\\\"../contour/make_crossings\\\"),c=t(\\\"../contour/find_all_paths\\\"),u=t(\\\"../contour/plot\\\"),f=t(\\\"../contour/constants\\\"),h=t(\\\"../contour/convert_to_constraints\\\"),p=t(\\\"../contour/empty_pathinfo\\\"),d=t(\\\"../contour/close_boundaries\\\"),m=t(\\\"../carpet/lookup_carpetid\\\"),g=t(\\\"../carpet/axis_aligned_line\\\");function v(t,e,r){var n=t.getPointAtLength(e),i=t.getPointAtLength(r),a=i.x-n.x,o=i.y-n.y,s=Math.sqrt(a*a+o*o);return[a/s,o/s]}function y(t){var e=Math.sqrt(t[0]*t[0]+t[1]*t[1]);return[t[0]/e,t[1]/e]}function x(t,e){var r=Math.abs(t[0]*e[0]+t[1]*e[1]);return Math.sqrt(1-r*r)/r}e.exports=function(t,e,r,b){var _=e.xaxis,w=e.yaxis;s.makeTraceGroups(b,r,\\\"contour\\\").each((function(r){var 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i.extendFlat(c.heatmap.paint,{\\\"heatmap-weight\\\":d?k:1/(b.max-b.min),\\\"heatmap-color\\\":T,\\\"heatmap-radius\\\":m?{type:\\\"identity\\\",property:\\\"r\\\"}:e.radius,\\\"heatmap-opacity\\\":e.opacity}),c.geojson={type:\\\"FeatureCollection\\\",features:f},c.heatmap.layout.visibility=\\\"visible\\\",c}},{\\\"../../components/color\\\":658,\\\"../../components/colorscale\\\":670,\\\"../../constants/numerical\\\":771,\\\"../../lib\\\":795,\\\"../../lib/geojson_utils\\\":789,\\\"fast-isnumeric\\\":241}],1050:[function(t,e,r){\\\"use strict\\\";var n=t(\\\"../../lib\\\"),i=t(\\\"../../components/colorscale/defaults\\\"),a=t(\\\"./attributes\\\");e.exports=function(t,e,r,o){function s(r,i){return n.coerce(t,e,a,r,i)}var 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n=t(\\\"@plotly/d3\\\"),i=t(\\\"../../lib\\\"),a=t(\\\"../../components/drawing\\\"),o=t(\\\"../../lib/svg_text_utils\\\"),s=t(\\\"./partition\\\"),l=t(\\\"./style\\\").styleOne,c=t(\\\"../treemap/constants\\\"),u=t(\\\"../sunburst/helpers\\\"),f=t(\\\"../sunburst/fx\\\"),h=t(\\\"../sunburst/plot\\\").formatSliceLabel;e.exports=function(t,e,r,p,d){var m=d.width,g=d.height,v=d.viewX,y=d.viewY,x=d.pathSlice,b=d.toMoveInsideSlice,_=d.strTransform,w=d.hasTransition,T=d.handleSlicesExit,k=d.makeUpdateSliceInterpolator,M=d.makeUpdateTextInterpolator,A=d.prevEntry,S=t._fullLayout,E=e[0].trace,L=-1!==E.textposition.indexOf(\\\"left\\\"),C=-1!==E.textposition.indexOf(\\\"right\\\"),P=-1!==E.textposition.indexOf(\\\"bottom\\\"),I=s(r,[m,g],{flipX:E.tiling.flip.indexOf(\\\"x\\\")>-1,flipY:E.tiling.flip.indexOf(\\\"y\\\")>-1,orientation:E.tiling.orientation,pad:{inner:E.tiling.pad},maxDepth:E._maxDepth}).descendants(),O=1/0,z=-1/0;I.forEach((function(t){var 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n(t,e,r,a,{type:\\\"icicle\\\",drawDescendants:i})}},{\\\"../treemap/draw\\\":1353,\\\"./draw_descendants\\\":1122}],1128:[function(t,e,r){\\\"use strict\\\";var n=t(\\\"@plotly/d3\\\"),i=t(\\\"../../components/color\\\"),a=t(\\\"../../lib\\\"),o=t(\\\"../bar/uniform_text\\\").resizeText;function s(t,e,r){var n=e.data.data,o=!e.children,s=n.i,l=a.castOption(r,s,\\\"marker.line.color\\\")||i.defaultLine,c=a.castOption(r,s,\\\"marker.line.width\\\")||0;t.style(\\\"stroke-width\\\",c).call(i.fill,n.color).call(i.stroke,l).style(\\\"opacity\\\",o?r.leaf.opacity:null)}e.exports={style:function(t){var e=t._fullLayout._iciclelayer.selectAll(\\\".trace\\\");o(t,e,\\\"icicle\\\"),e.each((function(t){var e=n.select(this),r=t[0].trace;e.style(\\\"opacity\\\",r.opacity),e.selectAll(\\\"path.surface\\\").each((function(t){n.select(this).call(s,t,r)}))}))},styleOne:s}},{\\\"../../components/color\\\":658,\\\"../../lib\\\":795,\\\"../bar/uniform_text\\\":949,\\\"@plotly/d3\\\":58}],1129:[function(t,e,r){\\\"use strict\\\";for(var n=t(\\\"../../plots/attributes\\\"),i=t(\\\"../../plots/template_attributes\\\").hovertemplateAttrs,a=t(\\\"../../lib/extend\\\").extendFlat,o=t(\\\"./constants\\\").colormodel,s=[\\\"rgb\\\",\\\"rgba\\\",\\\"rgba256\\\",\\\"hsl\\\",\\\"hsla\\\"],l=[],c=[],u=0;u<s.length;u++){var f=o[s[u]];l.push(\\\"For the `\\\"+s[u]+\\\"` colormodel, it is [\\\"+(f.zminDflt||f.min).join(\\\", \\\")+\\\"].\\\"),c.push(\\\"For the `\\\"+s[u]+\\\"` colormodel, it is [\\\"+(f.zmaxDflt||f.max).join(\\\", 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\\\")+\\\"]\\\";return[i.extendFlat(t,{index:[h,f],x0:l.c2p(o.x0+f*s.dx),x1:l.c2p(o.x0+(f+1)*s.dx),y0:T,y1:T,color:b,xVal:k,xLabelVal:k,yVal:M,yLabelVal:M,zLabelVal:A,text:g,hovertemplateLabels:{zLabel:A,colorLabel:w,\\\"color[0]Label\\\":b[0]+_[0],\\\"color[1]Label\\\":b[1]+_[1],\\\"color[2]Label\\\":b[2]+_[2],\\\"color[3]Label\\\":b[3]+_[3]}})]}}}},{\\\"../../components/fx\\\":698,\\\"../../lib\\\":795,\\\"./constants\\\":1131}],1136:[function(t,e,r){\\\"use 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n=t(\\\"../../lib/extend\\\").extendFlat,i=t(\\\"../../lib/extend\\\").extendDeep,a=t(\\\"../../plot_api/edit_types\\\").overrideAll,o=t(\\\"../../plots/font_attributes\\\"),s=t(\\\"../../components/color/attributes\\\"),l=t(\\\"../../plots/domain\\\").attributes,c=t(\\\"../../plots/cartesian/layout_attributes\\\"),u=t(\\\"../../plot_api/plot_template\\\").templatedArray,f=t(\\\"../../constants/delta.js\\\"),h=(t(\\\"../../constants/docs\\\").FORMAT_LINK,o({editType:\\\"plot\\\",colorEditType:\\\"plot\\\"})),p={color:{valType:\\\"color\\\",editType:\\\"plot\\\"},line:{color:{valType:\\\"color\\\",dflt:s.defaultLine,editType:\\\"plot\\\"},width:{valType:\\\"number\\\",min:0,dflt:0,editType:\\\"plot\\\"},editType:\\\"calc\\\"},thickness:{valType:\\\"number\\\",min:0,max:1,dflt:1,editType:\\\"plot\\\"},editType:\\\"calc\\\"},d={valType:\\\"info_array\\\",items:[{valType:\\\"number\\\",editType:\\\"plot\\\"},{valType:\\\"number\\\",editType:\\\"plot\\\"}],editType:\\\"plot\\\"},m=u(\\\"step\\\",i({},p,{range:d}));e.exports={mode:{valType:\\\"flaglist\\\",editType:\\\"calc\\\",flags:[\\\"number\\\",\\\"delta\\\",\\\"gauge\\\"],dflt:\\\"number\\\"},value:{valType:\\\"number\\\",editType:\\\"calc\\\",anim:!0},align:{valType:\\\"enumerated\\\",values:[\\\"left\\\",\\\"center\\\",\\\"right\\\"],editType:\\\"plot\\\"},domain:l({name:\\\"indicator\\\",trace:!0,editType:\\\"calc\\\"}),title:{text:{valType:\\\"string\\\",editType:\\\"plot\\\"},align:{valType:\\\"enumerated\\\",values:[\\\"left\\\",\\\"center\\\",\\\"right\\\"],editType:\\\"plot\\\"},font:n({},h,{}),editType:\\\"plot\\\"},number:{valueformat:{valType:\\\"string\\\",dflt:\\\"\\\",editType:\\\"plot\\\"},font:n({},h,{}),prefix:{valType:\\\"string\\\",dflt:\\\"\\\",editType:\\\"plot\\\"},suffix:{valType:\\\"string\\\",dflt:\\\"\\\",editType:\\\"plot\\\"},editType:\\\"plot\\\"},delta:{reference:{valType:\\\"number\\\",editType:\\\"calc\\\"},position:{valType:\\\"enumerated\\\",values:[\\\"top\\\",\\\"bottom\\\",\\\"left\\\",\\\"right\\\"],dflt:\\\"bottom\\\",editType:\\\"plot\\\"},relative:{valType:\\\"boolean\\\",editType:\\\"plot\\\",dflt:!1},valueformat:{valType:\\\"string\\\",editType:\\\"plot\\\"},increasing:{symbol:{valType:\\\"string\\\",dflt:f.INCREASING.SYMBOL,editType:\\\"plot\\\"},color:{valType:\\\"color\\\",dflt:f.INCREASING.COLOR,editType:\\\"plot\\\"},editType:\\\"plot\\\"},decreasing:{symbol:{valType:\\\"string\\\",dflt:f.DECREASING.SYMBOL,editType:\\\"plot\\\"},color:{valType:\\\"color\\\",dflt:f.DECREASING.COLOR,editType:\\\"plot\\\"},editType:\\\"plot\\\"},font:n({},h,{}),editType:\\\"calc\\\"},gauge:{shape:{valType:\\\"enumerated\\\",editType:\\\"plot\\\",dflt:\\\"angular\\\",values:[\\\"angular\\\",\\\"bullet\\\"]},bar:i({},p,{color:{dflt:\\\"green\\\"}}),bgcolor:{valType:\\\"color\\\",editType:\\\"plot\\\"},bordercolor:{valType:\\\"color\\\",dflt:s.defaultLine,editType:\\\"plot\\\"},borderwidth:{valType:\\\"number\\\",min:0,dflt:1,editType:\\\"plot\\\"},axis:a({range:d,visible:n({},c.visible,{dflt:!0}),tickmode:c.tickmode,nticks:c.nticks,tick0:c.tick0,dtick:c.dtick,tickvals:c.tickvals,ticktext:c.ticktext,ticks:n({},c.ticks,{dflt:\\\"outside\\\"}),ticklen:c.ticklen,tickwidth:c.tickwidth,tickcolor:c.tickcolor,showticklabels:c.showticklabels,tickfont:o({}),tickangle:c.tickangle,tickformat:c.tickformat,tickformatstops:c.tickformatstops,tickprefix:c.tickprefix,showtickprefix:c.showtickprefix,ticksuffix:c.ticksuffix,showticksuffix:c.showticksuffix,separatethousands:c.separatethousands,exponentformat:c.exponentformat,minexponent:c.minexponent,showexponent:c.showexponent,editType:\\\"plot\\\"},\\\"plot\\\"),steps:m,threshold:{line:{color:n({},p.line.color,{}),width:n({},p.line.width,{dflt:1}),editType:\\\"plot\\\"},thickness:n({},p.thickness,{dflt:.85}),value:{valType:\\\"number\\\",editType:\\\"calc\\\",dflt:!1},editType:\\\"plot\\\"},editType:\\\"plot\\\"}}},{\\\"../../components/color/attributes\\\":657,\\\"../../constants/delta.js\\\":765,\\\"../../constants/docs\\\":766,\\\"../../lib/extend\\\":785,\\\"../../plot_api/edit_types\\\":827,\\\"../../plot_api/plot_template\\\":834,\\\"../../plots/cartesian/layout_attributes\\\":859,\\\"../../plots/domain\\\":872,\\\"../../plots/font_attributes\\\":873}],1140:[function(t,e,r){\\\"use 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n=t(\\\"@plotly/d3\\\"),i=t(\\\"../../lib\\\"),a=i.strScale,o=i.strTranslate,s=i.rad2deg,l=t(\\\"../../constants/alignment\\\").MID_SHIFT,c=t(\\\"../../components/drawing\\\"),u=t(\\\"./constants\\\"),f=t(\\\"../../lib/svg_text_utils\\\"),h=t(\\\"../../plots/cartesian/axes\\\"),p=t(\\\"../../plots/cartesian/axis_defaults\\\"),d=t(\\\"../../plots/cartesian/position_defaults\\\"),m=t(\\\"../../plots/cartesian/layout_attributes\\\"),g=t(\\\"../../components/color\\\"),v={left:\\\"start\\\",center:\\\"middle\\\",right:\\\"end\\\"},y={left:0,center:.5,right:1},x=/[yzafpn\\\\xb5mkMGTPEZY]/;function b(t){return t&&t.duration>0}function _(t){t.each((function(t){g.stroke(n.select(this),t.line.color)})).each((function(t){g.fill(n.select(this),t.color)})).style(\\\"stroke-width\\\",(function(t){return t.line.width}))}function w(t,e,r){var n=t._fullLayout,a=i.extendFlat({type:\\\"linear\\\",ticks:\\\"outside\\\",range:r,showline:!0},e),o={type:\\\"linear\\\",_id:\\\"x\\\"+e._id},s={letter:\\\"x\\\",font:n.font,noHover:!0,noTickson:!0};function l(t,e){return i.coerce(a,o,m,t,e)}return p(a,o,l,s,n),d(a,o,l,s),o}function T(t,e,r){return[Math.min(e/t.width,r/t.height),t,e+\\\"x\\\"+r]}function k(t,e,r,i){var a=document.createElementNS(\\\"http://www.w3.org/2000/svg\\\",\\\"text\\\"),o=n.select(a);return o.text(t).attr(\\\"x\\\",0).attr(\\\"y\\\",0).attr(\\\"text-anchor\\\",r).attr(\\\"data-unformatted\\\",t).call(f.convertToTspans,i).call(c.font,e),c.bBox(o.node())}function M(t,e,r,n,a,o){var s=\\\"_cache\\\"+e;t[s]&&t[s].key===a||(t[s]={key:a,value:r});var l=i.aggNums(o,null,[t[s].value,n],2);return t[s].value=l,l}e.exports=function(t,e,r,p){var d,m=t._fullLayout;b(r)&&p&&(d=p()),i.makeTraceGroups(m._indicatorlayer,e,\\\"trace\\\").each((function(e){var p,A,S,E,L,C=e[0].trace,P=n.select(this),I=C._hasGauge,O=C._isAngular,z=C._isBullet,D=C.domain,R={w:m._size.w*(D.x[1]-D.x[0]),h:m._size.h*(D.y[1]-D.y[0]),l:m._size.l+m._size.w*D.x[0],r:m._size.r+m._size.w*(1-D.x[1]),t:m._size.t+m._size.h*(1-D.y[1]),b:m._size.b+m._size.h*D.y[0]},F=R.l+R.w/2,B=R.t+R.h/2,N=Math.min(R.w/2,R.h),j=u.innerRadius*N,U=C.align||\\\"center\\\";if(A=B,I){if(O&&(p=F,A=B+N/2,S=function(t){return function(t,e){var r=Math.sqrt(t.width/2*(t.width/2)+t.height*t.height);return[e/r,t,e]}(t,.9*j)}),z){var V=u.bulletPadding,q=1-u.bulletNumberDomainSize+V;p=R.l+(q+(1-q)*y[U])*R.w,S=function(t){return T(t,(u.bulletNumberDomainSize-V)*R.w,R.h)}}}else p=R.l+y[U]*R.w,S=function(t){return T(t,R.w,R.h)};!function(t,e,r,s){var l,u,p,d=r[0].trace,m=s.numbersX,_=s.numbersY,T=d.align||\\\"center\\\",A=v[T],S=s.transitionOpts,E=s.onComplete,L=i.ensureSingle(e,\\\"g\\\",\\\"numbers\\\"),C=[];d._hasNumber&&C.push(\\\"number\\\");d._hasDelta&&(C.push(\\\"delta\\\"),\\\"left\\\"===d.delta.position&&C.reverse());var P=L.selectAll(\\\"text\\\").data(C);function I(e,r,n,i){if(!e.match(\\\"s\\\")||n>=0==i>=0||r(n).slice(-1).match(x)||r(i).slice(-1).match(x))return r;var a=e.slice().replace(\\\"s\\\",\\\"f\\\").replace(/\\\\d+/,(function(t){return parseInt(t)-1})),o=w(t,{tickformat:a});return function(t){return Math.abs(t)<1?h.tickText(o,t).text:r(t)}}P.enter().append(\\\"text\\\"),P.attr(\\\"text-anchor\\\",(function(){return A})).attr(\\\"class\\\",(function(t){return t})).attr(\\\"x\\\",null).attr(\\\"y\\\",null).attr(\\\"dx\\\",null).attr(\\\"dy\\\",null),P.exit().remove();var O,z=d.mode+d.align;d._hasDelta&&(O=function(){var e=w(t,{tickformat:d.delta.valueformat},d._range);e.setScale(),h.prepTicks(e);var i=function(t){return h.tickText(e,t).text},a=function(t){return d.delta.relative?t.relativeDelta:t.delta},o=function(t,e){return 0===t||\\\"number\\\"!=typeof t||isNaN(t)?\\\"-\\\":(t>0?d.delta.increasing.symbol:d.delta.decreasing.symbol)+e(t)},s=function(t){return t.delta>=0?d.delta.increasing.color:d.delta.decreasing.color};void 0===d._deltaLastValue&&(d._deltaLastValue=a(r[0]));var l=L.select(\\\"text.delta\\\");function p(){l.text(o(a(r[0]),i)).call(g.fill,s(r[0])).call(f.convertToTspans,t)}return l.call(c.font,d.delta.font).call(g.fill,s({delta:d._deltaLastValue})),b(S)?l.transition().duration(S.duration).ease(S.easing).tween(\\\"text\\\",(function(){var t=n.select(this),e=a(r[0]),l=d._deltaLastValue,c=I(d.delta.valueformat,i,l,e),u=n.interpolateNumber(l,e);return 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s=I(d.number.valueformat,i,r[0].lastY,r[0].y);return function(r){t.text(o+s(e(r))+a)}})):u(),l=k(o+i(r[0].y)+a,d.number.font,A,t)}(),z+=d.number.font.size+d.number.font.family+d.number.valueformat+d.number.suffix+d.number.prefix,p=l);if(d._hasDelta&&d._hasNumber){var D,R,F=[(l.left+l.right)/2,(l.top+l.bottom)/2],B=[(u.left+u.right)/2,(u.top+u.bottom)/2],N=.75*d.delta.font.size;\\\"left\\\"===d.delta.position&&(D=M(d,\\\"deltaPos\\\",0,-1*(l.width*y[d.align]+u.width*(1-y[d.align])+N),z,Math.min),R=F[1]-B[1],p={width:l.width+u.width+N,height:Math.max(l.height,u.height),left:u.left+D,right:l.right,top:Math.min(l.top,u.top+R),bottom:Math.max(l.bottom,u.bottom+R)}),\\\"right\\\"===d.delta.position&&(D=M(d,\\\"deltaPos\\\",0,l.width*(1-y[d.align])+u.width*y[d.align]+N,z,Math.max),R=F[1]-B[1],p={width:l.width+u.width+N,height:Math.max(l.height,u.height),left:l.left,right:u.right+D,top:Math.min(l.top,u.top+R),bottom:Math.max(l.bottom,u.bottom+R)}),\\\"bottom\\\"===d.delta.position&&(D=null,R=u.height,p={width:Math.max(l.width,u.width),height:l.height+u.height,left:Math.min(l.left,u.left),right:Math.max(l.right,u.right),top:l.bottom-l.height,bottom:l.bottom+u.height}),\\\"top\\\"===d.delta.position&&(D=null,R=l.top,p={width:Math.max(l.width,u.width),height:l.height+u.height,left:Math.min(l.left,u.left),right:Math.max(l.right,u.right),top:l.bottom-l.height-u.height,bottom:l.bottom}),O.attr({dx:D,dy:R})}(d._hasNumber||d._hasDelta)&&L.attr(\\\"transform\\\",(function(){var 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e=p.gauge.axis.range[0],r=(t-e)/(p.gauge.axis.range[1]-e)*Math.PI-S;return r<-S?-S:r>S?S:r}function L(t){return n.svg.arc().innerRadius((g+m)/2-t/2*(m-g)).outerRadius((g+m)/2+t/2*(m-g)).startAngle(-S)}function C(t){t.attr(\\\"d\\\",(function(t){return L(t.thickness).startAngle(E(t.range[0])).endAngle(E(t.range[1]))()}))}T.enter().append(\\\"g\\\").classed(\\\"angular\\\",!0),T.attr(\\\"transform\\\",o(x[0],x[1])),k.enter().append(\\\"g\\\").classed(\\\"angularaxis\\\",!0).classed(\\\"crisp\\\",!0),k.selectAll(\\\"g.xangularaxistick,path,text\\\").remove(),(a=w(t,p.gauge.axis)).type=\\\"linear\\\",a.range=p.gauge.axis.range,a._id=\\\"xangularaxis\\\",a.ticklabeloverflow=\\\"allow\\\",a.setScale();var P=function(t){return(a.range[0]-t.x)/(a.range[1]-a.range[0])*Math.PI+Math.PI},I={},O=h.makeLabelFns(a,0).labelStandoff;I.xFn=function(t){var e=P(t);return Math.cos(e)*O},I.yFn=function(t){var e=P(t),r=Math.sin(e)>0?.2:1;return-Math.sin(e)*(O+t.fontSize*r)+Math.abs(Math.cos(e))*(t.fontSize*l)},I.anchorFn=function(t){var e=P(t),r=Math.cos(e);return Math.abs(r)<.1?\\\"middle\\\":r>0?\\\"start\\\":\\\"end\\\"},I.heightFn=function(t,e,r){var n=P(t);return-.5*(1+Math.sin(n))*r};var z=function(t){return o(x[0]+m*Math.cos(t),x[1]-m*Math.sin(t))};u=function(t){return z(P(t))};if(c=h.calcTicks(a),f=h.getTickSigns(a)[2],a.visible){f=\\\"inside\\\"===a.ticks?-1:1;var D=(a.linewidth||1)/2;h.drawTicks(t,a,{vals:c,layer:k,path:\\\"M\\\"+f*D+\\\",0h\\\"+f*a.ticklen,transFn:function(t){var e=P(t);return z(e)+\\\"rotate(\\\"+-s(e)+\\\")\\\"}}),h.drawLabels(t,a,{vals:c,layer:k,transFn:u,labelFns:I})}var R=[v].concat(p.gauge.steps),F=T.selectAll(\\\"g.bg-arc\\\").data(R);F.enter().append(\\\"g\\\").classed(\\\"bg-arc\\\",!0).append(\\\"path\\\"),F.select(\\\"path\\\").call(C).call(_),F.exit().remove();var B=L(p.gauge.bar.thickness),N=T.selectAll(\\\"g.value-arc\\\").data([p.gauge.bar]);N.enter().append(\\\"g\\\").classed(\\\"value-arc\\\",!0).append(\\\"path\\\");var j=N.select(\\\"path\\\");b(M)?(j.transition().duration(M.duration).ease(M.easing).each(\\\"end\\\",(function(){A&&A()})).each(\\\"interrupt\\\",(function(){A&&A()})).attrTween(\\\"d\\\",(U=B,V=E(r[0].lastY),q=E(r[0].y),function(){var t=n.interpolate(V,q);return function(e){return U.endAngle(t(e))()}})),p._lastValue=r[0].y):j.attr(\\\"d\\\",\\\"number\\\"==typeof r[0].y?B.endAngle(E(r[0].y)):\\\"M0,0Z\\\");var U,V,q;j.call(_),N.exit().remove(),R=[];var H=p.gauge.threshold.value;(H||0===H)&&R.push({range:[H,H],color:p.gauge.threshold.color,line:{color:p.gauge.threshold.line.color,width:p.gauge.threshold.line.width},thickness:p.gauge.threshold.thickness});var G=T.selectAll(\\\"g.threshold-arc\\\").data(R);G.enter().append(\\\"g\\\").classed(\\\"threshold-arc\\\",!0).append(\\\"path\\\"),G.select(\\\"path\\\").call(C).call(_),G.exit().remove();var Y=T.selectAll(\\\"g.gauge-outline\\\").data([y]);Y.enter().append(\\\"g\\\").classed(\\\"gauge-outline\\\",!0).append(\\\"path\\\"),Y.select(\\\"path\\\").call(C).call(_),Y.exit().remove()}(t,0,e,{radius:N,innerRadius:j,gauge:H,layer:G,size:R,gaugeBg:E,gaugeOutline:L,transitionOpts:r,onComplete:d});var Y=P.selectAll(\\\"g.bullet\\\").data(z?e:[]);Y.exit().remove();var W=P.selectAll(\\\"g.bulletaxis\\\").data(z?e:[]);W.exit().remove(),z&&function(t,e,r,n){var i,a,s,l,c,f=r[0].trace,p=n.gauge,d=n.layer,m=n.gaugeBg,v=n.gaugeOutline,y=n.size,x=f.domain,T=n.transitionOpts,k=n.onComplete;p.enter().append(\\\"g\\\").classed(\\\"bullet\\\",!0),p.attr(\\\"transform\\\",o(y.l,y.t)),d.enter().append(\\\"g\\\").classed(\\\"bulletaxis\\\",!0).classed(\\\"crisp\\\",!0),d.selectAll(\\\"g.xbulletaxistick,path,text\\\").remove();var M=y.h,A=f.gauge.bar.thickness*M,S=x.x[0],E=x.x[0]+(x.x[1]-x.x[0])*(f._hasNumber||f._hasDelta?1-u.bulletNumberDomainSize:1);(i=w(t,f.gauge.axis))._id=\\\"xbulletaxis\\\",i.domain=[S,E],i.setScale(),a=h.calcTicks(i),s=h.makeTransTickFn(i),l=h.getTickSigns(i)[2],c=y.t+y.h,i.visible&&(h.drawTicks(t,i,{vals:\\\"inside\\\"===i.ticks?h.clipEnds(i,a):a,layer:d,path:h.makeTickPath(i,c,l),transFn:s}),h.drawLabels(t,i,{vals:a,layer:d,transFn:s,labelFns:h.makeLabelFns(i,c)}));function L(t){t.attr(\\\"width\\\",(function(t){return Math.max(0,i.c2p(t.range[1])-i.c2p(t.range[0]))})).attr(\\\"x\\\",(function(t){return i.c2p(t.range[0])})).attr(\\\"y\\\",(function(t){return.5*(1-t.thickness)*M})).attr(\\\"height\\\",(function(t){return t.thickness*M}))}var C=[m].concat(f.gauge.steps),P=p.selectAll(\\\"g.bg-bullet\\\").data(C);P.enter().append(\\\"g\\\").classed(\\\"bg-bullet\\\",!0).append(\\\"rect\\\"),P.select(\\\"rect\\\").call(L).call(_),P.exit().remove();var I=p.selectAll(\\\"g.value-bullet\\\").data([f.gauge.bar]);I.enter().append(\\\"g\\\").classed(\\\"value-bullet\\\",!0).append(\\\"rect\\\"),I.select(\\\"rect\\\").attr(\\\"height\\\",A).attr(\\\"y\\\",(M-A)/2).call(_),b(T)?I.select(\\\"rect\\\").transition().duration(T.duration).ease(T.easing).each(\\\"end\\\",(function(){k&&k()})).each(\\\"interrupt\\\",(function(){k&&k()})).attr(\\\"width\\\",Math.max(0,i.c2p(Math.min(f.gauge.axis.range[1],r[0].y)))):I.select(\\\"rect\\\").attr(\\\"width\\\",\\\"number\\\"==typeof r[0].y?Math.max(0,i.c2p(Math.min(f.gauge.axis.range[1],r[0].y))):0);I.exit().remove();var O=r.filter((function(){return f.gauge.threshold.value||0===f.gauge.threshold.value})),z=p.selectAll(\\\"g.threshold-bullet\\\").data(O);z.enter().append(\\\"g\\\").classed(\\\"threshold-bullet\\\",!0).append(\\\"line\\\"),z.select(\\\"line\\\").attr(\\\"x1\\\",i.c2p(f.gauge.threshold.value)).attr(\\\"x2\\\",i.c2p(f.gauge.threshold.value)).attr(\\\"y1\\\",(1-f.gauge.threshold.thickness)/2*M).attr(\\\"y2\\\",(1-(1-f.gauge.threshold.thickness)/2)*M).call(g.stroke,f.gauge.threshold.line.color).style(\\\"stroke-width\\\",f.gauge.threshold.line.width),z.exit().remove();var D=p.selectAll(\\\"g.gauge-outline\\\").data([v]);D.enter().append(\\\"g\\\").classed(\\\"gauge-outline\\\",!0).append(\\\"rect\\\"),D.select(\\\"rect\\\").call(L).call(_),D.exit().remove()}(t,0,e,{gauge:Y,layer:W,size:R,gaugeBg:E,gaugeOutline:L,transitionOpts:r,onComplete:d});var X=P.selectAll(\\\"text.title\\\").data(e);X.exit().remove(),X.enter().append(\\\"text\\\").classed(\\\"title\\\",!0),X.attr(\\\"text-anchor\\\",(function(){return 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r=\\\"slices.\\\"+t;a(r+\\\".show\\\")&&(a(r+\\\".fill\\\"),a(r+\\\".locations\\\"))})),a(\\\"spaceframe.show\\\")&&a(\\\"spaceframe.fill\\\"),a(\\\"surface.show\\\")&&(a(\\\"surface.count\\\"),a(\\\"surface.fill\\\"),a(\\\"surface.pattern\\\")),a(\\\"contour.show\\\")&&(a(\\\"contour.color\\\"),a(\\\"contour.width\\\")),[\\\"text\\\",\\\"hovertext\\\",\\\"hovertemplate\\\",\\\"lighting.ambient\\\",\\\"lighting.diffuse\\\",\\\"lighting.specular\\\",\\\"lighting.roughness\\\",\\\"lighting.fresnel\\\",\\\"lighting.vertexnormalsepsilon\\\",\\\"lighting.facenormalsepsilon\\\",\\\"lightposition.x\\\",\\\"lightposition.y\\\",\\\"lightposition.z\\\",\\\"flatshading\\\",\\\"opacity\\\"].forEach((function(t){a(t)})),o(t,e,n,a,{prefix:\\\"\\\",cLetter:\\\"c\\\"}),e._length=null):e.visible=!1}e.exports={supplyDefaults:function(t,e,r,i){s(t,e,r,i,(function(r,i){return n.coerce(t,e,a,r,i)}))},supplyIsoDefaults:s}},{\\\"../../components/colorscale/defaults\\\":668,\\\"../../lib\\\":795,\\\"../../registry\\\":923,\\\"./attributes\\\":1146}],1150:[function(t,e,r){\\\"use strict\\\";e.exports={attributes:t(\\\"./attributes\\\"),supplyDefaults:t(\\\"./defaults\\\").supplyDefaults,calc:t(\\\"./calc\\\"),colorbar:{min:\\\"cmin\\\",max:\\\"cmax\\\"},plot:t(\\\"./convert\\\").createIsosurfaceTrace,moduleType:\\\"trace\\\",name:\\\"isosurface\\\",basePlotModule:t(\\\"../../plots/gl3d\\\"),categories:[\\\"gl3d\\\",\\\"showLegend\\\"],meta:{}}},{\\\"../../plots/gl3d\\\":887,\\\"./attributes\\\":1146,\\\"./calc\\\":1147,\\\"./convert\\\":1148,\\\"./defaults\\\":1149}],1151:[function(t,e,r){\\\"use strict\\\";var n=t(\\\"../../components/colorscale/attributes\\\"),i=t(\\\"../../plots/hoverformat_attributes\\\"),a=t(\\\"../../plots/template_attributes\\\").hovertemplateAttrs,o=t(\\\"../surface/attributes\\\"),s=t(\\\"../../plots/attributes\\\"),l=t(\\\"../../lib/extend\\\").extendFlat;e.exports=l({x:{valType:\\\"data_array\\\",editType:\\\"calc+clearAxisTypes\\\"},y:{valType:\\\"data_array\\\",editType:\\\"calc+clearAxisTypes\\\"},z:{valType:\\\"data_array\\\",editType:\\\"calc+clearAxisTypes\\\"},i:{valType:\\\"data_array\\\",editType:\\\"calc\\\"},j:{valType:\\\"data_array\\\",editType:\\\"calc\\\"},k:{valType:\\\"data_array\\\",editType:\\\"calc\\\"},text:{valType:\\\"string\\\",dflt:\\\"\\\",arrayOk:!0,editType:\\\"calc\\\"},hovertext:{valType:\\\"string\\\",dflt:\\\"\\\",arrayOk:!0,editType:\\\"calc\\\"},hovertemplate:a({editType:\\\"calc\\\"}),xhoverformat:i(\\\"x\\\"),yhoverformat:i(\\\"y\\\"),zhoverformat:i(\\\"z\\\"),delaunayaxis:{valType:\\\"enumerated\\\",values:[\\\"x\\\",\\\"y\\\",\\\"z\\\"],dflt:\\\"z\\\",editType:\\\"calc\\\"},alphahull:{valType:\\\"number\\\",dflt:-1,editType:\\\"calc\\\"},intensity:{valType:\\\"data_array\\\",editType:\\\"calc\\\"},intensitymode:{valType:\\\"enumerated\\\",values:[\\\"vertex\\\",\\\"cell\\\"],dflt:\\\"vertex\\\",editType:\\\"calc\\\"},color:{valType:\\\"color\\\",editType:\\\"calc\\\"},vertexcolor:{valType:\\\"data_array\\\",editType:\\\"calc\\\"},facecolor:{valType:\\\"data_array\\\",editType:\\\"calc\\\"},transforms:void 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r=t.length,n=0;n<r;n++)if(t[n]<=-.5||t[n]>=e-.5)return!1;return!0}h.handlePick=function(t){if(t.object===this.mesh){var e=t.index=t.data.index;t.data._cellCenter?t.traceCoordinate=t.data.dataCoordinate:t.traceCoordinate=[this.data.x[e],this.data.y[e],this.data.z[e]];var r=this.data.hovertext||this.data.text;return Array.isArray(r)&&void 0!==r[e]?t.textLabel=r[e]:r&&(t.textLabel=r),!0}},h.update=function(t){var e=this.scene,r=e.fullSceneLayout;this.data=t;var n,f=t.x.length,h=u(d(r.xaxis,t.x,e.dataScale[0],t.xcalendar),d(r.yaxis,t.y,e.dataScale[1],t.ycalendar),d(r.zaxis,t.z,e.dataScale[2],t.zcalendar));if(t.i&&t.j&&t.k){if(t.i.length!==t.j.length||t.j.length!==t.k.length||!g(t.i,f)||!g(t.j,f)||!g(t.k,f))return;n=u(m(t.i),m(t.j),m(t.k))}else n=0===t.alphahull?o(h):t.alphahull>0?a(t.alphahull,h):function(t,e){for(var r=[\\\"x\\\",\\\"y\\\",\\\"z\\\"].indexOf(t),n=[],a=e.length,o=0;o<a;o++)n[o]=[e[o][(r+1)%3],e[o][(r+2)%3]];return i(n)}(t.delaunayaxis,h);var v={positions:h,cells:n,lightPosition:[t.lightposition.x,t.lightposition.y,t.lightposition.z],ambient:t.lighting.ambient,diffuse:t.lighting.diffuse,specular:t.lighting.specular,roughness:t.lighting.roughness,fresnel:t.lighting.fresnel,vertexNormalsEpsilon:t.lighting.vertexnormalsepsilon,faceNormalsEpsilon:t.lighting.facenormalsepsilon,opacity:t.opacity,contourEnable:t.contour.show,contourColor:l(t.contour.color).slice(0,3),contourWidth:t.contour.width,useFacetNormals:t.flatshading};if(t.intensity){var y=c(t);this.color=\\\"#fff\\\";var x=t.intensitymode;v[x+\\\"Intensity\\\"]=t.intensity,v[x+\\\"IntensityBounds\\\"]=[y.min,y.max],v.colormap=s(t)}else t.vertexcolor?(this.color=t.vertexcolor[0],v.vertexColors=p(t.vertexcolor)):t.facecolor?(this.color=t.facecolor[0],v.cellColors=p(t.facecolor)):(this.color=t.color,v.meshColor=l(t.color));this.mesh.update(v)},h.dispose=function(){this.scene.glplot.remove(this.mesh),this.mesh.dispose()},e.exports=function(t,e){var 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0===e?t.parcatsViewModel.model.dimensions[t.model.dimensionInd].dimensionLabel:null})).each((function(t){l.font(n.select(this),t.parcatsViewModel.labelfont)})),M.selectAll(\\\"rect.bandrect\\\").on(\\\"mouseover\\\",E).on(\\\"mouseout\\\",L),M.exit().remove(),k.call(n.behavior.drag().origin((function(t){return{x:t.x,y:0}})).on(\\\"dragstart\\\",C).on(\\\"drag\\\",P).on(\\\"dragend\\\",I)),f.each((function(t){t.traceSelection=n.select(this),t.pathSelection=n.select(this).selectAll(\\\"g.paths\\\").selectAll(\\\"path.path\\\"),t.dimensionSelection=n.select(this).selectAll(\\\"g.dimensions\\\").selectAll(\\\"g.dimension\\\")})),f.exit().remove()}function h(t){return t.key}function p(t){var e=t.parcatsViewModel.dimensions.length,r=t.parcatsViewModel.dimensions[e-1].model.dimensionInd;return t.model.dimensionInd===r}function d(t,e){return t.model.rawColor>e.model.rawColor?1:t.model.rawColor<e.model.rawColor?-1:0}function m(t){if(!t.parcatsViewModel.dragDimension&&-1===t.parcatsViewModel.hoverinfoItems.indexOf(\\\"skip\\\")){o.raiseToTop(this),_(n.select(this));var e=v(t),r=y(t);if(t.parcatsViewModel.graphDiv.emit(\\\"plotly_hover\\\",{points:e,event:n.event,constraints:r}),-1===t.parcatsViewModel.hoverinfoItems.indexOf(\\\"none\\\")){var i,s,l,u=n.mouse(this)[0],f=t.parcatsViewModel.graphDiv,h=t.parcatsViewModel.trace,p=f._fullLayout,d=p._paperdiv.node().getBoundingClientRect(),m=t.parcatsViewModel.graphDiv.getBoundingClientRect();for(l=0;l<t.leftXs.length-1;l++)if(t.leftXs[l]+t.dimWidths[l]-2<=u&&u<=t.leftXs[l+1]+2){var g=t.parcatsViewModel.dimensions[l],x=t.parcatsViewModel.dimensions[l+1];i=(g.x+g.width+x.x)/2,s=(t.topYs[l]+t.topYs[l+1]+t.height)/2;break}var b=t.parcatsViewModel.x+i,w=t.parcatsViewModel.y+s,T=c.mostReadable(t.model.color,[\\\"black\\\",\\\"white\\\"]),k=t.model.count,M=k/t.parcatsViewModel.model.count,A={countLabel:k,probabilityLabel:M.toFixed(3)},S=[];-1!==t.parcatsViewModel.hoverinfoItems.indexOf(\\\"count\\\")&&S.push([\\\"Count:\\\",A.countLabel].join(\\\" \\\")),-1!==t.parcatsViewModel.hoverinfoItems.indexOf(\\\"probability\\\")&&S.push([\\\"P:\\\",A.probabilityLabel].join(\\\" \\\"));var E=S.join(\\\"<br>\\\"),L=n.mouse(f)[0];a.loneHover({trace:h,x:b-d.left+m.left,y:w-d.top+m.top,text:E,color:t.model.color,borderColor:\\\"black\\\",fontFamily:'Monaco, \\\"Courier New\\\", monospace',fontSize:10,fontColor:T,idealAlign:L<b?\\\"right\\\":\\\"left\\\",hovertemplate:(h.line||{}).hovertemplate,hovertemplateLabels:A,eventData:[{data:h._input,fullData:h,count:k,probability:M}]},{container:p._hoverlayer.node(),outerContainer:p._paper.node(),gd:f})}}}function g(t){if(!t.parcatsViewModel.dragDimension&&(b(n.select(this)),a.loneUnhover(t.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()),t.parcatsViewModel.pathSelection.sort(d),-1===t.parcatsViewModel.hoverinfoItems.indexOf(\\\"skip\\\"))){var e=v(t),r=y(t);t.parcatsViewModel.graphDiv.emit(\\\"plotly_unhover\\\",{points:e,event:n.event,constraints:r})}}function v(t){for(var e=[],r=O(t.parcatsViewModel),n=0;n<t.model.valueInds.length;n++){var i=t.model.valueInds[n];e.push({curveNumber:r,pointNumber:i})}return e}function y(t){for(var e={},r=t.parcatsViewModel.model.dimensions,n=0;n<r.length;n++){var i=r[n],a=i.categories[t.model.categoryInds[n]];e[i.containerInd]=a.categoryValue}return void 0!==t.model.rawColor&&(e.color=t.model.rawColor),e}function x(t){if(-1===t.parcatsViewModel.hoverinfoItems.indexOf(\\\"skip\\\")){var e=v(t),r=y(t);t.parcatsViewModel.graphDiv.emit(\\\"plotly_click\\\",{points:e,event:n.event,constraints:r})}}function b(t){t.attr(\\\"fill\\\",(function(t){return t.model.color})).attr(\\\"fill-opacity\\\",.6).attr(\\\"stroke\\\",\\\"lightgray\\\").attr(\\\"stroke-width\\\",.2).attr(\\\"stroke-opacity\\\",1)}function _(t){t.attr(\\\"fill-opacity\\\",.8).attr(\\\"stroke\\\",(function(t){return c.mostReadable(t.model.color,[\\\"black\\\",\\\"white\\\"])})).attr(\\\"stroke-width\\\",.3)}function w(t){t.select(\\\"rect.catrect\\\").attr(\\\"stroke\\\",\\\"black\\\").attr(\\\"stroke-width\\\",1).attr(\\\"stroke-opacity\\\",1)}function T(t){t.attr(\\\"stroke\\\",\\\"black\\\").attr(\\\"stroke-width\\\",.2).attr(\\\"stroke-opacity\\\",1).attr(\\\"fill-opacity\\\",1)}function k(t){var e=t.parcatsViewModel.pathSelection,r=t.categoryViewModel.model.dimensionInd,n=t.categoryViewModel.model.categoryInd;return e.filter((function(e){return e.model.categoryInds[r]===n&&e.model.color===t.color}))}function M(t,e,r){var i=n.select(t).datum(),a=i.categoryViewModel.model,o=i.parcatsViewModel.graphDiv,s=n.select(t.parentNode).selectAll(\\\"rect.bandrect\\\"),l=[];s.each((function(t){k(t).each((function(t){Array.prototype.push.apply(l,v(t))}))}));var c={};c[a.dimensionInd]=a.categoryValue,o.emit(e,{points:l,event:r,constraints:c})}function A(t,e,r){var i=n.select(t).datum(),a=i.categoryViewModel.model,o=i.parcatsViewModel.graphDiv,s=k(i),l=[];s.each((function(t){Array.prototype.push.apply(l,v(t))}));var c={};c[a.dimensionInd]=a.categoryValue,void 0!==i.rawColor&&(c.color=i.rawColor),o.emit(e,{points:l,event:r,constraints:c})}function S(t,e,r){t._fullLayout._calcInverseTransform(t);var i,a,o=t._fullLayout._invScaleX,s=t._fullLayout._invScaleY,l=n.select(r.parentNode).select(\\\"rect.catrect\\\"),c=l.node().getBoundingClientRect(),u=l.datum(),f=u.parcatsViewModel,h=f.model.dimensions[u.model.dimensionInd],p=f.trace,d=c.top+c.height/2;f.dimensions.length>1&&h.displayInd===f.dimensions.length-1?(i=c.left,a=\\\"left\\\"):(i=c.left+c.width,a=\\\"right\\\");var m=u.model.count,g=u.model.categoryLabel,v=m/u.parcatsViewModel.model.count,y={countLabel:m,categoryLabel:g,probabilityLabel:v.toFixed(3)},x=[];-1!==u.parcatsViewModel.hoverinfoItems.indexOf(\\\"count\\\")&&x.push([\\\"Count:\\\",y.countLabel].join(\\\" \\\")),-1!==u.parcatsViewModel.hoverinfoItems.indexOf(\\\"probability\\\")&&x.push([\\\"P(\\\"+y.categoryLabel+\\\"):\\\",y.probabilityLabel].join(\\\" \\\"));var b=x.join(\\\"<br>\\\");return{trace:p,x:o*(i-e.left),y:s*(d-e.top),text:b,color:\\\"lightgray\\\",borderColor:\\\"black\\\",fontFamily:'Monaco, \\\"Courier New\\\", monospace',fontSize:12,fontColor:\\\"black\\\",idealAlign:a,hovertemplate:p.hovertemplate,hovertemplateLabels:y,eventData:[{data:p._input,fullData:p,count:m,category:g,probability:v}]}}function E(t){if(!t.parcatsViewModel.dragDimension&&-1===t.parcatsViewModel.hoverinfoItems.indexOf(\\\"skip\\\")){if(n.mouse(this)[1]<-1)return;var e,r=t.parcatsViewModel.graphDiv,i=r._fullLayout,s=i._paperdiv.node().getBoundingClientRect(),l=t.parcatsViewModel.hoveron;if(\\\"color\\\"===l?(!function(t){var e=n.select(t).datum(),r=k(e);_(r),r.each((function(){o.raiseToTop(this)})),n.select(t.parentNode).selectAll(\\\"rect.bandrect\\\").filter((function(t){return t.color===e.color})).each((function(){o.raiseToTop(this),n.select(this).attr(\\\"stroke\\\",\\\"black\\\").attr(\\\"stroke-width\\\",1.5)}))}(this),A(this,\\\"plotly_hover\\\",n.event)):(!function(t){n.select(t.parentNode).selectAll(\\\"rect.bandrect\\\").each((function(t){var e=k(t);_(e),e.each((function(){o.raiseToTop(this)}))})),n.select(t.parentNode).select(\\\"rect.catrect\\\").attr(\\\"stroke\\\",\\\"black\\\").attr(\\\"stroke-width\\\",2.5)}(this),M(this,\\\"plotly_hover\\\",n.event)),-1===t.parcatsViewModel.hoverinfoItems.indexOf(\\\"none\\\"))\\\"category\\\"===l?e=S(r,s,this):\\\"color\\\"===l?e=function(t,e,r){t._fullLayout._calcInverseTransform(t);var i,a,o=t._fullLayout._invScaleX,s=t._fullLayout._invScaleY,l=r.getBoundingClientRect(),u=n.select(r).datum(),f=u.categoryViewModel,h=f.parcatsViewModel,p=h.model.dimensions[f.model.dimensionInd],d=h.trace,m=l.y+l.height/2;h.dimensions.length>1&&p.displayInd===h.dimensions.length-1?(i=l.left,a=\\\"left\\\"):(i=l.left+l.width,a=\\\"right\\\");var g=f.model.categoryLabel,v=u.parcatsViewModel.model.count,y=0;u.categoryViewModel.bands.forEach((function(t){t.color===u.color&&(y+=t.count)}));var x=f.model.count,b=0;h.pathSelection.each((function(t){t.model.color===u.color&&(b+=t.model.count)}));var _=y/v,w=y/b,T=y/x,k={countLabel:v,categoryLabel:g,probabilityLabel:_.toFixed(3)},M=[];-1!==f.parcatsViewModel.hoverinfoItems.indexOf(\\\"count\\\")&&M.push([\\\"Count:\\\",k.countLabel].join(\\\" \\\")),-1!==f.parcatsViewModel.hoverinfoItems.indexOf(\\\"probability\\\")&&(M.push(\\\"P(color \\\\u2229 \\\"+g+\\\"): \\\"+k.probabilityLabel),M.push(\\\"P(\\\"+g+\\\" | color): \\\"+w.toFixed(3)),M.push(\\\"P(color | \\\"+g+\\\"): \\\"+T.toFixed(3)));var A=M.join(\\\"<br>\\\"),S=c.mostReadable(u.color,[\\\"black\\\",\\\"white\\\"]);return{trace:d,x:o*(i-e.left),y:s*(m-e.top),text:A,color:u.color,borderColor:\\\"black\\\",fontFamily:'Monaco, \\\"Courier New\\\", monospace',fontColor:S,fontSize:10,idealAlign:a,hovertemplate:d.hovertemplate,hovertemplateLabels:k,eventData:[{data:d._input,fullData:d,category:g,count:v,probability:_,categorycount:x,colorcount:b,bandcolorcount:y}]}}(r,s,this):\\\"dimension\\\"===l&&(e=function(t,e,r){var i=[];return n.select(r.parentNode.parentNode).selectAll(\\\"g.category\\\").select(\\\"rect.catrect\\\").each((function(){i.push(S(t,e,this))})),i}(r,s,this)),e&&a.loneHover(e,{container:i._hoverlayer.node(),outerContainer:i._paper.node(),gd:r})}}function L(t){var e=t.parcatsViewModel;if(!e.dragDimension&&(b(e.pathSelection),w(e.dimensionSelection.selectAll(\\\"g.category\\\")),T(e.dimensionSelection.selectAll(\\\"g.category\\\").selectAll(\\\"rect.bandrect\\\")),a.loneUnhover(e.graphDiv._fullLayout._hoverlayer.node()),e.pathSelection.sort(d),-1===e.hoverinfoItems.indexOf(\\\"skip\\\"))){\\\"color\\\"===t.parcatsViewModel.hoveron?A(this,\\\"plotly_unhover\\\",n.event):M(this,\\\"plotly_unhover\\\",n.event)}}function C(t){\\\"fixed\\\"!==t.parcatsViewModel.arrangement&&(t.dragDimensionDisplayInd=t.model.displayInd,t.initialDragDimensionDisplayInds=t.parcatsViewModel.model.dimensions.map((function(t){return t.displayInd})),t.dragHasMoved=!1,t.dragCategoryDisplayInd=null,n.select(this).selectAll(\\\"g.category\\\").select(\\\"rect.catrect\\\").each((function(e){var r=n.mouse(this)[0],i=n.mouse(this)[1];-2<=r&&r<=e.width+2&&-2<=i&&i<=e.height+2&&(t.dragCategoryDisplayInd=e.model.displayInd,t.initialDragCategoryDisplayInds=t.model.categories.map((function(t){return t.displayInd})),e.model.dragY=e.y,o.raiseToTop(this.parentNode),n.select(this.parentNode).selectAll(\\\"rect.bandrect\\\").each((function(e){e.y<i&&i<=e.y+e.height&&(t.potentialClickBand=this)})))})),t.parcatsViewModel.dragDimension=t,a.loneUnhover(t.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()))}function P(t){if(\\\"fixed\\\"!==t.parcatsViewModel.arrangement&&(t.dragHasMoved=!0,null!==t.dragDimensionDisplayInd)){var e=t.dragDimensionDisplayInd,r=e-1,i=e+1,a=t.parcatsViewModel.dimensions[e];if(null!==t.dragCategoryDisplayInd){var o=a.categories[t.dragCategoryDisplayInd];o.model.dragY+=n.event.dy;var s=o.model.dragY,l=o.model.displayInd,c=a.categories,u=c[l-1],f=c[l+1];void 0!==u&&s<u.y+u.height/2&&(o.model.displayInd=u.model.displayInd,u.model.displayInd=l),void 0!==f&&s+o.height>f.y+f.height/2&&(o.model.displayInd=f.model.displayInd,f.model.displayInd=l),t.dragCategoryDisplayInd=o.model.displayInd}if(null===t.dragCategoryDisplayInd||\\\"freeform\\\"===t.parcatsViewModel.arrangement){a.model.dragX=n.event.x;var h=t.parcatsViewModel.dimensions[r],p=t.parcatsViewModel.dimensions[i];void 0!==h&&a.model.dragX<h.x+h.width&&(a.model.displayInd=h.model.displayInd,h.model.displayInd=e),void 0!==p&&a.model.dragX+a.width>p.x&&(a.model.displayInd=p.model.displayInd,p.model.displayInd=t.dragDimensionDisplayInd),t.dragDimensionDisplayInd=a.model.displayInd}N(t.parcatsViewModel),B(t.parcatsViewModel),D(t.parcatsViewModel),z(t.parcatsViewModel)}}function I(t){if(\\\"fixed\\\"!==t.parcatsViewModel.arrangement&&null!==t.dragDimensionDisplayInd){n.select(this).selectAll(\\\"text\\\").attr(\\\"font-weight\\\",\\\"normal\\\");var e={},r=O(t.parcatsViewModel),a=t.parcatsViewModel.model.dimensions.map((function(t){return t.displayInd})),o=t.initialDragDimensionDisplayInds.some((function(t,e){return t!==a[e]}));o&&a.forEach((function(r,n){var i=t.parcatsViewModel.model.dimensions[n].containerInd;e[\\\"dimensions[\\\"+i+\\\"].displayindex\\\"]=r}));var s=!1;if(null!==t.dragCategoryDisplayInd){var l=t.model.categories.map((function(t){return t.displayInd}));if(s=t.initialDragCategoryDisplayInds.some((function(t,e){return t!==l[e]}))){var c=t.model.categories.slice().sort((function(t,e){return t.displayInd-e.displayInd})),u=c.map((function(t){return t.categoryValue})),f=c.map((function(t){return t.categoryLabel}));e[\\\"dimensions[\\\"+t.model.containerInd+\\\"].categoryarray\\\"]=[u],e[\\\"dimensions[\\\"+t.model.containerInd+\\\"].ticktext\\\"]=[f],e[\\\"dimensions[\\\"+t.model.containerInd+\\\"].categoryorder\\\"]=\\\"array\\\"}}if(-1===t.parcatsViewModel.hoverinfoItems.indexOf(\\\"skip\\\")&&!t.dragHasMoved&&t.potentialClickBand&&(\\\"color\\\"===t.parcatsViewModel.hoveron?A(t.potentialClickBand,\\\"plotly_click\\\",n.event.sourceEvent):M(t.potentialClickBand,\\\"plotly_click\\\",n.event.sourceEvent)),t.model.dragX=null,null!==t.dragCategoryDisplayInd)t.parcatsViewModel.dimensions[t.dragDimensionDisplayInd].categories[t.dragCategoryDisplayInd].model.dragY=null,t.dragCategoryDisplayInd=null;t.dragDimensionDisplayInd=null,t.parcatsViewModel.dragDimension=null,t.dragHasMoved=null,t.potentialClickBand=null,N(t.parcatsViewModel),B(t.parcatsViewModel),n.transition().duration(300).ease(\\\"cubic-in-out\\\").each((function(){D(t.parcatsViewModel,!0),z(t.parcatsViewModel,!0)})).each(\\\"end\\\",(function(){(o||s)&&i.restyle(t.parcatsViewModel.graphDiv,e,[r])}))}}function O(t){for(var e,r=t.graphDiv._fullData,n=0;n<r.length;n++)if(t.key===r[n].uid){e=n;break}return e}function z(t,e){var r;void 0===e&&(e=!1),t.pathSelection.data((function(t){return t.paths}),h),(r=t.pathSelection,e?r.transition():r).attr(\\\"d\\\",(function(t){return t.svgD}))}function D(t,e){function r(t){return e?t.transition():t}void 0===e&&(e=!1),t.dimensionSelection.data((function(t){return t.dimensions}),h);var i=t.dimensionSelection.selectAll(\\\"g.category\\\").data((function(t){return t.categories}),h);r(t.dimensionSelection).attr(\\\"transform\\\",(function(t){return s(t.x,0)})),r(i).attr(\\\"transform\\\",(function(t){return s(0,t.y)})),i.select(\\\".dimlabel\\\").text((function(t,e){return 0===e?t.parcatsViewModel.model.dimensions[t.model.dimensionInd].dimensionLabel:null})),i.select(\\\".catlabel\\\").attr(\\\"text-anchor\\\",(function(t){return p(t)?\\\"start\\\":\\\"end\\\"})).attr(\\\"x\\\",(function(t){return p(t)?t.width+5:-5})).each((function(t){var e,r;p(t)?(e=t.width+5,r=\\\"start\\\"):(e=-5,r=\\\"end\\\"),n.select(this).selectAll(\\\"tspan\\\").attr(\\\"x\\\",e).attr(\\\"text-anchor\\\",r)}));var a=i.selectAll(\\\"rect.bandrect\\\").data((function(t){return t.bands}),h),l=a.enter().append(\\\"rect\\\").attr(\\\"class\\\",\\\"bandrect\\\").attr(\\\"cursor\\\",\\\"move\\\").attr(\\\"stroke-opacity\\\",0).attr(\\\"fill\\\",(function(t){return t.color})).attr(\\\"fill-opacity\\\",0);a.attr(\\\"fill\\\",(function(t){return t.color})).attr(\\\"width\\\",(function(t){return t.width})).attr(\\\"height\\\",(function(t){return t.height})).attr(\\\"y\\\",(function(t){return t.y})),T(l),a.each((function(){o.raiseToTop(this)})),a.exit().remove()}function R(t,e,r){var n,i=r[0],a=e.margin||{l:80,r:80,t:100,b:80},o=i.trace,s=o.domain,l=e.width,c=e.height,u=Math.floor(l*(s.x[1]-s.x[0])),f=Math.floor(c*(s.y[1]-s.y[0])),h=s.x[0]*l+a.l,p=e.height-s.y[1]*e.height+a.t,d=o.line.shape;n=\\\"all\\\"===o.hoverinfo?[\\\"count\\\",\\\"probability\\\"]:(o.hoverinfo||\\\"\\\").split(\\\"+\\\");var m={trace:o,key:o.uid,model:i,x:h,y:p,width:u,height:f,hoveron:o.hoveron,hoverinfoItems:n,arrangement:o.arrangement,bundlecolors:o.bundlecolors,sortpaths:o.sortpaths,labelfont:o.labelfont,categorylabelfont:o.tickfont,pathShape:d,dragDimension:null,margin:a,paths:[],dimensions:[],graphDiv:t,traceSelection:null,pathSelection:null,dimensionSelection:null};return i.dimensions&&(N(m),B(m)),m}function F(t,e,r,i,a){var o,s,l=[],c=[];for(s=0;s<r.length-1;s++)o=n.interpolateNumber(r[s]+t[s],t[s+1]),l.push(o(a)),c.push(o(1-a));var u=\\\"M \\\"+t[0]+\\\",\\\"+e[0];for(u+=\\\"l\\\"+r[0]+\\\",0 \\\",s=1;s<r.length;s++)u+=\\\"C\\\"+l[s-1]+\\\",\\\"+e[s-1]+\\\" \\\"+c[s-1]+\\\",\\\"+e[s]+\\\" \\\"+t[s]+\\\",\\\"+e[s],u+=\\\"l\\\"+r[s]+\\\",0 \\\";for(u+=\\\"l0,\\\"+i+\\\" \\\",u+=\\\"l -\\\"+r[r.length-1]+\\\",0 \\\",s=r.length-2;s>=0;s--)u+=\\\"C\\\"+c[s]+\\\",\\\"+(e[s+1]+i)+\\\" \\\"+l[s]+\\\",\\\"+(e[s]+i)+\\\" \\\"+(t[s]+r[s])+\\\",\\\"+(e[s]+i),u+=\\\"l-\\\"+r[s]+\\\",0 \\\";return u+=\\\"Z\\\"}function B(t){var e=t.dimensions,r=t.model,n=e.map((function(t){return t.categories.map((function(t){return t.y}))})),i=t.model.dimensions.map((function(t){return t.categories.map((function(t){return t.displayInd}))})),a=t.model.dimensions.map((function(t){return t.displayInd})),o=t.dimensions.map((function(t){return t.model.dimensionInd})),s=e.map((function(t){return t.x})),l=e.map((function(t){return t.width})),c=[];for(var u in r.paths)r.paths.hasOwnProperty(u)&&c.push(r.paths[u]);function f(t){var e=t.categoryInds.map((function(t,e){return i[e][t]}));return o.map((function(t){return e[t]}))}c.sort((function(e,r){var n=f(e),i=f(r);return\\\"backward\\\"===t.sortpaths&&(n.reverse(),i.reverse()),n.push(e.valueInds[0]),i.push(r.valueInds[0]),t.bundlecolors&&(n.unshift(e.rawColor),i.unshift(r.rawColor)),n<i?-1:n>i?1:0}));for(var h=new Array(c.length),p=e[0].model.count,d=e[0].categories.map((function(t){return t.height})).reduce((function(t,e){return t+e})),m=0;m<c.length;m++){var g,v=c[m];g=p>0?d*(v.count/p):0;for(var y,x=new Array(n.length),b=0;b<v.categoryInds.length;b++){var _=v.categoryInds[b],w=i[b][_],T=a[b];x[T]=n[T][w],n[T][w]+=g;var k=t.dimensions[T].categories[w],M=k.bands.length,A=k.bands[M-1];if(void 0===A||v.rawColor!==A.rawColor){var S=void 0===A?0:A.y+A.height;k.bands.push({key:S,color:v.color,rawColor:v.rawColor,height:g,width:k.width,count:v.count,y:S,categoryViewModel:k,parcatsViewModel:t})}else{var 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a=t._fullLayout,o=a._paper,s=a._size;n(t,o,e,{width:s.w,height:s.h,margin:{t:s.t,r:s.r,b:s.b,l:s.l}},r,i)}},{\\\"./parcats\\\":1170}],1172:[function(t,e,r){\\\"use strict\\\";var n=t(\\\"../../components/colorscale/attributes\\\"),i=t(\\\"../../plots/cartesian/layout_attributes\\\"),a=t(\\\"../../plots/font_attributes\\\"),o=t(\\\"../../plots/domain\\\").attributes,s=t(\\\"../../lib/extend\\\").extendFlat,l=t(\\\"../../plot_api/plot_template\\\").templatedArray;e.exports={domain:o({name:\\\"parcoords\\\",trace:!0,editType:\\\"plot\\\"}),labelangle:{valType:\\\"angle\\\",dflt:0,editType:\\\"plot\\\"},labelside:{valType:\\\"enumerated\\\",values:[\\\"top\\\",\\\"bottom\\\"],dflt:\\\"top\\\",editType:\\\"plot\\\"},labelfont:a({editType:\\\"plot\\\"}),tickfont:a({editType:\\\"plot\\\"}),rangefont:a({editType:\\\"plot\\\"}),dimensions:l(\\\"dimension\\\",{label:{valType:\\\"string\\\",editType:\\\"plot\\\"},tickvals:s({},i.tickvals,{editType:\\\"plot\\\"}),ticktext:s({},i.ticktext,{editType:\\\"plot\\\"}),tickformat:s({},i.tickformat,{editType:\\\"plot\\\"}),visible:{valType:\\\"boolean\\\",dflt:!0,editType:\\\"plot\\\"},range:{valType:\\\"info_array\\\",items:[{valType:\\\"number\\\",editType:\\\"plot\\\"},{valType:\\\"number\\\",editType:\\\"plot\\\"}],editType:\\\"plot\\\"},constraintrange:{valType:\\\"info_array\\\",freeLength:!0,dimensions:\\\"1-2\\\",items:[{valType:\\\"number\\\",editType:\\\"plot\\\"},{valType:\\\"number\\\",editType:\\\"plot\\\"}],editType:\\\"plot\\\"},multiselect:{valType:\\\"boolean\\\",dflt:!0,editType:\\\"plot\\\"},values:{valType:\\\"data_array\\\",editType:\\\"calc\\\"},editType:\\\"calc\\\"}),line:s({editType:\\\"calc\\\"},n(\\\"line\\\",{colorscaleDflt:\\\"Viridis\\\",autoColorDflt:!1,editTypeOverride:\\\"calc\\\"}))}},{\\\"../../components/colorscale/attributes\\\":665,\\\"../../lib/extend\\\":785,\\\"../../plot_api/plot_template\\\":834,\\\"../../plots/cartesian/layout_attributes\\\":859,\\\"../../plots/domain\\\":872,\\\"../../plots/font_attributes\\\":873}],1173:[function(t,e,r){\\\"use 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r=_(e,e.height-i.mouse(t)[1]-2*n.verticalPadding),a=\\\"crosshair\\\";r.clickableOrdinalRange?a=\\\"pointer\\\":r.region&&(a=r.region+\\\"-resize\\\"),i.select(document.body).style(\\\"cursor\\\",a)}function k(t){t.on(\\\"mousemove\\\",(function(t){i.event.preventDefault(),t.parent.inBrushDrag||T(this,t)})).on(\\\"mouseleave\\\",(function(t){t.parent.inBrushDrag||y()})).call(i.behavior.drag().on(\\\"dragstart\\\",(function(t){!function(t,e){i.event.sourceEvent.stopPropagation();var r=e.height-i.mouse(t)[1]-2*n.verticalPadding,a=e.unitToPaddedPx.invert(r),o=e.brush,s=_(e,r),l=s.interval,c=o.svgBrush;if(c.wasDragged=!1,c.grabbingBar=\\\"ns\\\"===s.region,c.grabbingBar){var u=l.map(e.unitToPaddedPx);c.grabPoint=r-u[0]-n.verticalPadding,c.barLength=u[1]-u[0]}c.clickableOrdinalRange=s.clickableOrdinalRange,c.stayingIntervals=e.multiselect&&o.filterSpecified?o.filter.getConsolidated():[],l&&(c.stayingIntervals=c.stayingIntervals.filter((function(t){return 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l=e.unitTickvals;l[l.length-1]<l[0]&&l.reverse(),a.newExtent=[p(0,l,a.newExtent[0],a.stayingIntervals),p(1,l,a.newExtent[1],a.stayingIntervals)];var c=a.newExtent[1]>a.newExtent[0];a.extent=a.stayingIntervals.concat(c?[a.newExtent]:[]),a.extent.length||A(r),a.brushCallback(e),c?b(t.parentNode,s):(s(),b(t.parentNode))}else s();a.brushEndCallback(r.filterSpecified?n.getConsolidated():[])}(this,t)})))}function M(t,e){return t[0]-e[0]}function A(t){t.filterSpecified=!1,t.svgBrush.extent=[[-1/0,1/0]]}function S(t){for(var e,r=t.slice(),n=[],i=r.shift();i;){for(e=i.slice();(i=r.shift())&&i[0]<=e[1];)e[1]=Math.max(e[1],i[1]);n.push(e)}return 1===n.length&&n[0][0]>n[0][1]&&(n=[]),n}e.exports={makeBrush:function(t,e,r,n,i,a){var o,l=function(){var t,e,r=[];return{set:function(n){1===(r=n.map((function(t){return t.slice().sort(s)})).sort(M)).length&&r[0][0]===-1/0&&r[0][1]===1/0&&(r=[[0,-1]]),t=S(r),e=r.reduce((function(t,e){return[Math.min(t[0],e[0]),Math.max(t[1],e[1])]}),[1/0,-1/0])},get:function(){return r.slice()},getConsolidated:function(){return t},getBounds:function(){return e}}}();return l.set(r),{filter:l,filterSpecified:e,svgBrush:{extent:[],brushStartCallback:n,brushCallback:(o=i,function(t){var e=t.brush,r=function(t){return t.svgBrush.extent.map((function(t){return t.slice()}))}(e).slice();e.filter.set(r),o()}),brushEndCallback:a}}},ensureAxisBrush:function(t,e){var r=t.selectAll(\\\".\\\"+n.cn.axisBrush).data(o,a);r.enter().append(\\\"g\\\").classed(n.cn.axisBrush,!0),function(t,e){var r=t.selectAll(\\\".background\\\").data(o);r.enter().append(\\\"rect\\\").classed(\\\"background\\\",!0).call(d).call(m).style(\\\"pointer-events\\\",\\\"auto\\\").attr(\\\"transform\\\",l(0,n.verticalPadding)),r.call(k).attr(\\\"height\\\",(function(t){return t.height-n.verticalPadding}));var i=t.selectAll(\\\".highlight-shadow\\\").data(o);i.enter().append(\\\"line\\\").classed(\\\"highlight-shadow\\\",!0).attr(\\\"x\\\",-n.bar.width/2).attr(\\\"stroke-width\\\",n.bar.width+n.bar.strokeWidth).attr(\\\"stroke\\\",e).attr(\\\"opacity\\\",n.bar.strokeOpacity).attr(\\\"stroke-linecap\\\",\\\"butt\\\"),i.attr(\\\"y1\\\",(function(t){return t.height})).call(x);var a=t.selectAll(\\\".highlight\\\").data(o);a.enter().append(\\\"line\\\").classed(\\\"highlight\\\",!0).attr(\\\"x\\\",-n.bar.width/2).attr(\\\"stroke-width\\\",n.bar.width-n.bar.strokeWidth).attr(\\\"stroke\\\",n.bar.fillColor).attr(\\\"opacity\\\",n.bar.fillOpacity).attr(\\\"stroke-linecap\\\",\\\"butt\\\"),a.attr(\\\"y1\\\",(function(t){return t.height})).call(x)}(r,e)},cleanRanges:function(t,e){if(Array.isArray(t[0])?(t=t.map((function(t){return t.sort(s)})),t=e.multiselect?S(t.sort(M)):[t[0]]):t=[t.sort(s)],e.tickvals){var r=e.tickvals.slice().sort(s);if(!(t=t.map((function(t){var e=[p(0,r,t[0],[]),p(1,r,t[1],[])];if(e[1]>e[0])return e})).filter((function(t){return t}))).length)return}return t.length>1?t:t[0]}}},{\\\"../../lib\\\":795,\\\"../../lib/gup\\\":792,\\\"./constants\\\":1176,\\\"@plotly/d3\\\":58}],1174:[function(t,e,r){\\\"use strict\\\";var n=t(\\\"@plotly/d3\\\"),i=t(\\\"../../plots/get_data\\\").getModuleCalcData,a=t(\\\"./plot\\\"),o=t(\\\"../../constants/xmlns_namespaces\\\");r.name=\\\"parcoords\\\",r.plot=function(t){var e=i(t.calcdata,\\\"parcoords\\\")[0];e.length&&a(t,e)},r.clean=function(t,e,r,n){var i=n._has&&n._has(\\\"parcoords\\\"),a=e._has&&e._has(\\\"parcoords\\\");i&&!a&&(n._paperdiv.selectAll(\\\".parcoords\\\").remove(),n._glimages.selectAll(\\\"*\\\").remove())},r.toSVG=function(t){var e=t._fullLayout._glimages,r=n.select(t).selectAll(\\\".svg-container\\\");r.filter((function(t,e){return e===r.size()-1})).selectAll(\\\".gl-canvas-context, .gl-canvas-focus\\\").each((function(){var t=this.toDataURL(\\\"image/png\\\");e.append(\\\"svg:image\\\").attr({xmlns:o.svg,\\\"xlink:href\\\":t,preserveAspectRatio:\\\"none\\\",x:0,y:0,width:this.width,height:this.height})})),window.setTimeout((function(){n.selectAll(\\\"#filterBarPattern\\\").attr(\\\"id\\\",\\\"filterBarPattern\\\")}),60)}},{\\\"../../constants/xmlns_namespaces\\\":772,\\\"../../plots/get_data\\\":882,\\\"./plot\\\":1183,\\\"@plotly/d3\\\":58}],1175:[function(t,e,r){\\\"use strict\\\";var n=t(\\\"../../lib\\\").isArrayOrTypedArray,i=t(\\\"../../components/colorscale\\\"),a=t(\\\"../../lib/gup\\\").wrap;e.exports=function(t,e){var r,o;return i.hasColorscale(e,\\\"line\\\")&&n(e.line.color)?(r=e.line.color,o=i.extractOpts(e.line).colorscale,i.calc(t,e,{vals:r,containerStr:\\\"line\\\",cLetter:\\\"c\\\"})):(r=function(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=.5;return 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strict\\\";var n=t(\\\"../../lib\\\"),i=t(\\\"../../components/colorscale/helpers\\\").hasColorscale,a=t(\\\"../../components/colorscale/defaults\\\"),o=t(\\\"../../plots/domain\\\").defaults,s=t(\\\"../../plots/array_container_defaults\\\"),l=t(\\\"../../plots/cartesian/axes\\\"),c=t(\\\"./attributes\\\"),u=t(\\\"./axisbrush\\\"),f=t(\\\"./constants\\\").maxDimensionCount,h=t(\\\"./merge_length\\\");function p(t,e,r,i){function a(r,i){return n.coerce(t,e,c.dimensions,r,i)}var o=a(\\\"values\\\"),s=a(\\\"visible\\\");if(o&&o.length||(s=e.visible=!1),s){a(\\\"label\\\"),a(\\\"tickvals\\\"),a(\\\"ticktext\\\"),a(\\\"tickformat\\\");var f=a(\\\"range\\\");e._ax={_id:\\\"y\\\",type:\\\"linear\\\",showexponent:\\\"all\\\",exponentformat:\\\"B\\\",range:f},l.setConvert(e._ax,i.layout),a(\\\"multiselect\\\");var h=a(\\\"constraintrange\\\");h&&(e.constraintrange=u.cleanRanges(h,e))}}e.exports=function(t,e,r,l){function u(r,i){return n.coerce(t,e,c,r,i)}var d=t.dimensions;Array.isArray(d)&&d.length>f&&(n.log(\\\"parcoords traces support up to \\\"+f+\\\" dimensions at the moment\\\"),d.splice(f));var m=s(t,e,{name:\\\"dimensions\\\",layout:l,handleItemDefaults:p}),g=function(t,e,r,o,s){var l=s(\\\"line.color\\\",r);if(i(t,\\\"line\\\")&&n.isArrayOrTypedArray(l)){if(l.length)return s(\\\"line.colorscale\\\"),a(t,e,o,s,{prefix:\\\"line.\\\",cLetter:\\\"c\\\"}),l.length;e.line.color=r}return 1/0}(t,e,r,l,u);o(e,l,u),Array.isArray(m)&&m.length||(e.visible=!1),h(e,m,\\\"values\\\",g);var 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vOutside(vec4 p, vec4 lo, vec4 hi) {\\\\n    return (\\\\n        fOutside(p[0], lo[0], hi[0]) ||\\\\n        fOutside(p[1], lo[1], hi[1]) ||\\\\n        fOutside(p[2], lo[2], hi[2]) ||\\\\n        fOutside(p[3], lo[3], hi[3])\\\\n    );\\\\n}\\\\n\\\\nbool mOutside(mat4 p, mat4 lo, mat4 hi) {\\\\n    return (\\\\n        vOutside(p[0], lo[0], hi[0]) ||\\\\n        vOutside(p[1], lo[1], hi[1]) ||\\\\n        vOutside(p[2], lo[2], hi[2]) ||\\\\n        vOutside(p[3], lo[3], hi[3])\\\\n    );\\\\n}\\\\n\\\\nbool outsideBoundingBox(mat4 A, mat4 B, mat4 C, mat4 D) {\\\\n    return mOutside(A, loA, hiA) ||\\\\n           mOutside(B, loB, hiB) ||\\\\n           mOutside(C, loC, hiC) ||\\\\n           mOutside(D, loD, hiD);\\\\n}\\\\n\\\\nbool outsideRasterMask(mat4 A, mat4 B, mat4 C, mat4 D) {\\\\n    mat4 pnts[4];\\\\n    pnts[0] = A;\\\\n    pnts[1] = B;\\\\n    pnts[2] = C;\\\\n    pnts[3] = D;\\\\n\\\\n    for(int i = 0; i < 4; ++i) {\\\\n        for(int j = 0; j < 4; ++j) {\\\\n         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a=t._gl;a.enable(a.SCISSOR_TEST),a.scissor(e,r,n,i),t.clear({color:[0,0,0,0],depth:1})}function h(t,e,r,n,i,a){var o=a.key;r.drawCompleted||(!function(t){t.read({x:0,y:0,width:1,height:1,data:l})}(t),r.drawCompleted=!0),function s(l){var c=Math.min(n,i-l*n);0===l&&(window.cancelAnimationFrame(r.currentRafs[o]),delete r.currentRafs[o],f(t,a.scissorX,a.scissorY,a.scissorWidth,a.viewBoxSize[1])),r.clearOnly||(a.count=2*c,a.offset=2*l*n,e(a),l*n+c<i&&(r.currentRafs[o]=window.requestAnimationFrame((function(){s(l+1)}))),r.drawCompleted=!1)}(0)}function p(t,e){for(var r=new Array(256),n=0;n<256;n++)r[n]=t(n/255).concat(e);return r}function d(t,e){return(t>>>8*e)%256/255}function m(t,e,r){for(var n=new Array(8*e),i=0,a=0;a<e;a++)for(var o=0;o<2;o++)for(var s=0;s<4;s++){var l=4*t+s,c=r[64*a+l];63===l&&0===o&&(c*=-1),n[i++]=c}return n}function g(t){var e=\\\"0\\\"+t;return e.substr(e.length-2)}function v(t){return t<o?\\\"p\\\"+g(t+1)+\\\"_\\\"+g(t+4):\\\"colors\\\"}function y(t,e,r,n,i,a,o,l,c,u,f,h,p){for(var d=[[],[]],m=0;m<64;m++)d[0][m]=m===i?1:0,d[1][m]=m===a?1:0;var g=t.lines.canvasOverdrag,v=t.domain,y=t.canvasWidth,x=t.canvasHeight,b=t.deselectedLines.color;return s.extendFlat({key:f,resolution:[y,x],viewBoxPos:[o+g,l],viewBoxSize:[c,u],i0:i,i1:a,dim0A:d[0].slice(0,16),dim0B:d[0].slice(16,32),dim0C:d[0].slice(32,48),dim0D:d[0].slice(48,64),dim1A:d[1].slice(0,16),dim1B:d[1].slice(16,32),dim1C:d[1].slice(32,48),dim1D:d[1].slice(48,64),drwLayer:h,contextColor:[b[0]/255,b[1]/255,b[2]/255,b[3]<1?b[3]:Math.max(1/255,Math.pow(1/t.lines.color.length,1/3))],scissorX:(n===e?0:o+g)+(t.pad.l-g)+t.layoutWidth*v.x[0],scissorWidth:(n===r?y-o+g:c+.5)+(n===e?o+g:0),scissorY:l+t.pad.b+t.layoutHeight*v.y[0],scissorHeight:u,viewportX:t.pad.l-g+t.layoutWidth*v.x[0],viewportY:t.pad.b+t.layoutHeight*v.y[0],viewportWidth:y,viewportHeight:x},p)}function x(t){var e=Math.max(0,Math.floor(2047*t[0]),0),r=Math.min(2047,Math.ceil(2047*t[1]),2047);return[Math.min(e,r),Math.max(e,r)]}e.exports=function(t,e){var r,n,l,g,b,_=e.context,w=e.pick,T=e.regl,k={currentRafs:{},drawCompleted:!0,clearOnly:!1},M=function(t){for(var e={},r=0;r<=o;r+=4)e[v(r)]=t.buffer({usage:\\\"dynamic\\\",type:\\\"float\\\",data:new Uint8Array(0)});return e}(T),A=T.texture(u),S=[];L(e);var E=T({profile:!1,blend:{enable:_,func:{srcRGB:\\\"src alpha\\\",dstRGB:\\\"one minus src 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L(t){r=t.model,n=t.viewModel,l=n.dimensions.slice(),g=l[0]?l[0].values.length:0;var e=r.lines,i=w?e.color.map((function(t,r){return r/e.color.length})):e.color,a=function(t,e,r){for(var n,i=new Array(t*(o+4)),a=0,s=0;s<t;s++){for(var l=0;l<o;l++)i[a++]=l<e.length?e[l].paddedUnitValues[s]:.5;i[a++]=d(s,2),i[a++]=d(s,1),i[a++]=d(s,0),i[a++]=(n=r[s],Math.max(1e-6,Math.min(.999999,n)))}return i}(g,l,i);!function(t,e,r){for(var n=0;n<=o;n+=4)t[v(n)](m(n/4,e,r))}(M,g,a),_||w||(A=T.texture(s.extendFlat({data:p(r.unitToColor,255)},u)))}return{render:function(t,e,n){var i,a,o,s=t.length,c=1/0,u=-1/0;for(i=0;i<s;i++)t[i].dim0.canvasX<c&&(c=t[i].dim0.canvasX,a=i),t[i].dim1.canvasX>u&&(u=t[i].dim1.canvasX,o=i);0===s&&f(T,0,0,r.canvasWidth,r.canvasHeight);var p=function(t){var e,r,n,i=[[],[]];for(n=0;n<64;n++){var a=!t&&n<l.length?l[n].brush.filter.getBounds():[-1/0,1/0];i[0][n]=a[0],i[1][n]=a[1]}var o=new Array(16384);for(e=0;e<16384;e++)o[e]=255;if(!t)for(e=0;e<l.length;e++){var s=e%8,c=(e-s)/8,u=Math.pow(2,s),f=l[e].brush.filter.get();if(!(f.length<2)){var h=x(f[0])[1];for(r=1;r<f.length;r++){var p=x(f[r]);for(n=h+1;n<p[0];n++)o[8*n+c]&=~u;h=Math.max(h,p[1])}}}var d={shape:[8,2048],format:\\\"alpha\\\",type:\\\"uint8\\\",mag:\\\"nearest\\\",min:\\\"nearest\\\",data:o};return b?b(d):b=T.texture(d),{maskTexture:b,maskHeight:2048,loA:i[0].slice(0,16),loB:i[0].slice(16,32),loC:i[0].slice(32,48),loD:i[0].slice(48,64),hiA:i[1].slice(0,16),hiB:i[1].slice(16,32),hiC:i[1].slice(32,48),hiD:i[1].slice(48,64)}}(_);for(i=0;i<s;i++){var d=t[i],m=d.dim0.crossfilterDimensionIndex,v=d.dim1.crossfilterDimensionIndex,M=d.canvasX,A=d.canvasY,L=M+d.panelSizeX;if(e||!S[m]||S[m][0]!==M||S[m][1]!==L){S[m]=[M,L];var C=y(r,a,o,i,m,v,M,A,d.panelSizeX,d.panelSizeY,d.dim0.crossfilterDimensionIndex,_?0:w?2:1,p);k.clearOnly=n;var P=e?r.lines.blockLineCount:g;h(T,E,k,P,g,C)}}},readPixel:function(t,e){return T.read({x:t,y:e,width:1,height:1,data:c}),c},readPixels:function(t,e,r,n){var i=new Uint8Array(4*r*n);return T.read({x:t,y:e,width:r,height:n,data:i}),i},destroy:function(){for(var e in t.style[\\\"pointer-events\\\"]=\\\"none\\\",A.destroy(),b&&b.destroy(),M)M[e].destroy()},update:L}}},{\\\"../../lib\\\":795,\\\"./constants\\\":1176,glslify:434}],1181:[function(t,e,r){\\\"use strict\\\";e.exports=function(t,e,r,n){var i,a;for(n||(n=1/0),i=0;i<e.length;i++)(a=e[i]).visible&&(n=Math.min(n,a[r].length));for(n===1/0&&(n=0),t._length=n,i=0;i<e.length;i++)(a=e[i]).visible&&(a._length=n);return n}},{}],1182:[function(t,e,r){\\\"use strict\\\";var n=t(\\\"@plotly/d3\\\"),i=t(\\\"color-rgba\\\"),a=t(\\\"../../plots/cartesian/axes\\\"),o=t(\\\"../../lib\\\"),s=o.strRotate,l=o.strTranslate,c=t(\\\"../../lib/svg_text_utils\\\"),u=t(\\\"../../components/drawing\\\"),f=t(\\\"../../components/colorscale\\\"),h=t(\\\"../../lib/gup\\\"),p=h.keyFun,d=h.repeat,m=h.unwrap,g=t(\\\"./helpers\\\"),v=t(\\\"./constants\\\"),y=t(\\\"./axisbrush\\\"),x=t(\\\"./lines\\\");function b(t,e,r){return o.aggNums(t,null,e,r)}function _(t,e){return T(b(Math.min,t,e),b(Math.max,t,e))}function w(t){var e=t.range;return e?T(e[0],e[1]):_(t.values,t._length)}function T(t,e){return!isNaN(t)&&isFinite(t)||(t=0),!isNaN(e)&&isFinite(e)||(e=0),t===e&&(0===t?(t-=1,e+=1):(t*=.9,e*=1.1)),[t,e]}function k(t,e,r,i,a){var o,s,l=w(r);return i?n.scale.ordinal().domain(i.map((o=n.format(r.tickformat),s=a,s?function(t,e){var r=s[e];return null==r?o(t):r}:o))).range(i.map((function(r){var n=(r-l[0])/(l[1]-l[0]);return t-e+n*(2*e-t)}))):n.scale.linear().domain(l).range([t-e,e])}function M(t){if(t.tickvals){var e=w(t);return n.scale.ordinal().domain(t.tickvals).range(t.tickvals.map((function(t){return(t-e[0])/(e[1]-e[0])})))}}function A(t){var e=t.map((function(t){return t[0]})),r=t.map((function(t){var e=i(t[1]);return n.rgb(\\\"rgb(\\\"+e[0]+\\\",\\\"+e[1]+\\\",\\\"+e[2]+\\\")\\\")})),a=\\\"rgb\\\".split(\\\"\\\").map((function(t){return 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a=m(e),s=a.trace,l=g.convertTypedArray(a.lineColor),c=s.line,u={color:i(v.deselectedLineColor)},h=f.extractOpts(c),p=h.reversescale?f.flipScale(a.cscale):a.cscale,d=s.domain,y=s.dimensions,x=t.width,b=s.labelangle,_=s.labelside,T=s.labelfont,k=s.tickfont,M=s.rangefont,S=o.extendDeepNoArrays({},c,{color:l.map(n.scale.linear().domain(w({values:l,range:[h.min,h.max],_length:s._length}))),blockLineCount:v.blockLineCount,canvasOverdrag:v.overdrag*v.canvasPixelRatio}),E=Math.floor(x*(d.x[1]-d.x[0])),L=Math.floor(t.height*(d.y[1]-d.y[0])),C=t.margin||{l:80,r:80,t:100,b:80},P=E,I=L;return{key:r,colCount:y.filter(g.isVisible).length,dimensions:y,tickDistance:v.tickDistance,unitToColor:A(p),lines:S,deselectedLines:u,labelAngle:b,labelSide:_,labelFont:T,tickFont:k,rangeFont:M,layoutWidth:x,layoutHeight:t.height,domain:d,translateX:d.x[0]*x,translateY:t.height-d.y[1]*t.height,pad:C,canvasWidth:P*v.canvasPixelRatio+2*S.canvasOverdrag,canvasHeight:I*v.canvasPixelRatio,width:P,height:I,canvasPixelRatio:v.canvasPixelRatio}}function 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V=U.selectAll(\\\".\\\"+v.cn.axis).data(d,p);V.enter().append(\\\"g\\\").classed(v.cn.axis,!0),V.each((function(t){var e=t.model.height/t.model.tickDistance,r=t.domainScale,i=r.domain();n.select(this).call(n.svg.axis().orient(\\\"left\\\").tickSize(4).outerTickSize(2).ticks(e,t.tickFormat).tickValues(t.ordinal?i:null).tickFormat((function(e){return g.isOrdinal(t)?e:O(t.model.dimensions[t.visibleIndex],e)})).scale(r)),u.font(V.selectAll(\\\"text\\\"),t.model.tickFont)})),V.selectAll(\\\".domain, .tick>line\\\").attr(\\\"fill\\\",\\\"none\\\").attr(\\\"stroke\\\",\\\"black\\\").attr(\\\"stroke-opacity\\\",.25).attr(\\\"stroke-width\\\",\\\"1px\\\"),V.selectAll(\\\"text\\\").style(\\\"text-shadow\\\",c.makeTextShadow(w)).style(\\\"cursor\\\",\\\"default\\\");var q=U.selectAll(\\\".\\\"+v.cn.axisHeading).data(d,p);q.enter().append(\\\"g\\\").classed(v.cn.axisHeading,!0);var 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n=t(\\\"../../plots/attributes\\\"),i=t(\\\"../../plots/domain\\\").attributes,a=t(\\\"../../plots/font_attributes\\\"),o=t(\\\"../../components/color/attributes\\\"),s=t(\\\"../../plots/template_attributes\\\").hovertemplateAttrs,l=t(\\\"../../plots/template_attributes\\\").texttemplateAttrs,c=t(\\\"../../lib/extend\\\").extendFlat,u=a({editType:\\\"plot\\\",arrayOk:!0,colorEditType:\\\"plot\\\"});e.exports={labels:{valType:\\\"data_array\\\",editType:\\\"calc\\\"},label0:{valType:\\\"number\\\",dflt:0,editType:\\\"calc\\\"},dlabel:{valType:\\\"number\\\",dflt:1,editType:\\\"calc\\\"},values:{valType:\\\"data_array\\\",editType:\\\"calc\\\"},marker:{colors:{valType:\\\"data_array\\\",editType:\\\"calc\\\"},line:{color:{valType:\\\"color\\\",dflt:o.defaultLine,arrayOk:!0,editType:\\\"style\\\"},width:{valType:\\\"number\\\",min:0,dflt:0,arrayOk:!0,editType:\\\"style\\\"},editType:\\\"calc\\\"},editType:\\\"calc\\\"},text:{valType:\\\"data_array\\\",editType:\\\"plot\\\"},hovertext:{valType:\\\"string\\\",dflt:\\\"\\\",arrayOk:!0,editType:\\\"style\\\"},scalegroup:{valType:\\\"string\\\",dflt:\\\"\\\",editType:\\\"calc\\\"},textinfo:{valType:\\\"flaglist\\\",flags:[\\\"label\\\",\\\"text\\\",\\\"value\\\",\\\"percent\\\"],extras:[\\\"none\\\"],editType:\\\"calc\\\"},hoverinfo:c({},n.hoverinfo,{flags:[\\\"label\\\",\\\"text\\\",\\\"value\\\",\\\"percent\\\",\\\"name\\\"]}),hovertemplate:s({},{keys:[\\\"label\\\",\\\"color\\\",\\\"value\\\",\\\"percent\\\",\\\"text\\\"]}),texttemplate:l({editType:\\\"plot\\\"},{keys:[\\\"label\\\",\\\"color\\\",\\\"value\\\",\\\"percent\\\",\\\"text\\\"]}),textposition:{valType:\\\"enumerated\\\",values:[\\\"inside\\\",\\\"outside\\\",\\\"auto\\\",\\\"none\\\"],dflt:\\\"auto\\\",arrayOk:!0,editType:\\\"plot\\\"},textfont:c({},u,{}),insidetextorientation:{valType:\\\"enumerated\\\",values:[\\\"horizontal\\\",\\\"radial\\\",\\\"tangential\\\",\\\"auto\\\"],dflt:\\\"auto\\\",editType:\\\"plot\\\"},insidetextfont:c({},u,{}),outsidetextfont:c({},u,{}),automargin:{valType:\\\"boolean\\\",dflt:!1,editType:\\\"plot\\\"},title:{text:{valType:\\\"string\\\",dflt:\\\"\\\",editType:\\\"plot\\\"},font:c({},u,{}),position:{valType:\\\"enumerated\\\",values:[\\\"top 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a}e.exports={calc:function(t,e){var r,i,a=[],o=t._fullLayout,l=o.hiddenlabels||[],c=e.labels,u=e.marker.colors||[],f=e.values,h=e._length,p=e._hasValues&&h;if(e.dlabel)for(c=new Array(h),r=0;r<h;r++)c[r]=String(e.label0+r*e.dlabel);var d={},m=s(o[\\\"_\\\"+e.type+\\\"colormap\\\"]),g=0,v=!1;for(r=0;r<h;r++){var y,x,b;if(p){if(y=f[r],!n(y))continue;if((y=+y)<0)continue}else y=1;void 0!==(x=c[r])&&\\\"\\\"!==x||(x=r);var _=d[x=String(x)];void 0===_?(d[x]=a.length,(b=-1!==l.indexOf(x))||(g+=y),a.push({v:y,label:x,color:m(u[r],x),i:r,pts:[r],hidden:b})):(v=!0,(i=a[_]).v+=y,i.pts.push(r),i.hidden||(g+=y),!1===i.color&&u[r]&&(i.color=m(u[r],x)))}return(\\\"funnelarea\\\"===e.type?v:e.sort)&&a.sort((function(t,e){return e.v-t.v})),a[0]&&(a[0].vTotal=g),a},crossTraceCalc:function(t,e){var r=(e||{}).type;r||(r=\\\"pie\\\");var n=t._fullLayout,i=t.calcdata,a=n[r+\\\"colorway\\\"],s=n[\\\"_\\\"+r+\\\"colormap\\\"];n[\\\"extend\\\"+r+\\\"colors\\\"]&&(a=l(a,o));for(var c=0,u=0;u<i.length;u++){var f=i[u];if(f[0].trace.type===r)for(var h=0;h<f.length;h++){var p=f[h];!1===p.color&&(s[p.label]?p.color=s[p.label]:(s[p.label]=p.color=a[c%a.length],c++))}}},makePullColorFn:s,generateExtendedColors:l}},{\\\"../../components/color\\\":658,\\\"fast-isnumeric\\\":241,tinycolor2:590}],1187:[function(t,e,r){\\\"use strict\\\";var n=t(\\\"fast-isnumeric\\\"),i=t(\\\"../../lib\\\"),a=t(\\\"./attributes\\\"),o=t(\\\"../../plots/domain\\\").defaults,s=t(\\\"../bar/defaults\\\").handleText;function l(t,e){var r=Array.isArray(t),a=i.isArrayOrTypedArray(e),o=Math.min(r?t.length:1/0,a?e.length:1/0);if(isFinite(o)||(o=0),o&&a){for(var s,l=0;l<o;l++){var c=e[l];if(n(c)&&c>0){s=!0;break}}s||(o=0)}return{hasLabels:r,hasValues:a,len:o}}e.exports={handleLabelsAndValues:l,supplyDefaults:function(t,e,r,n){function c(r,n){return i.coerce(t,e,a,r,n)}var u=l(c(\\\"labels\\\"),c(\\\"values\\\")),f=u.len;if(e._hasLabels=u.hasLabels,e._hasValues=u.hasValues,!e._hasLabels&&e._hasValues&&(c(\\\"label0\\\"),c(\\\"dlabel\\\")),f){e._length=f,c(\\\"marker.line.width\\\")&&c(\\\"marker.line.color\\\"),c(\\\"marker.colors\\\"),c(\\\"scalegroup\\\");var h,p=c(\\\"text\\\"),d=c(\\\"texttemplate\\\");if(d||(h=c(\\\"textinfo\\\",Array.isArray(p)?\\\"text+percent\\\":\\\"percent\\\")),c(\\\"hovertext\\\"),c(\\\"hovertemplate\\\"),d||h&&\\\"none\\\"!==h){var m=c(\\\"textposition\\\");s(t,e,n,c,m,{moduleHasSelected:!1,moduleHasUnselected:!1,moduleHasConstrain:!1,moduleHasCliponaxis:!1,moduleHasTextangle:!1,moduleHasInsideanchor:!1}),(Array.isArray(m)||\\\"auto\\\"===m||\\\"outside\\\"===m)&&c(\\\"automargin\\\"),(\\\"inside\\\"===m||\\\"auto\\\"===m||Array.isArray(m))&&c(\\\"insidetextorientation\\\")}o(e,n,c);var g=c(\\\"hole\\\");if(c(\\\"title.text\\\")){var v=c(\\\"title.position\\\",g?\\\"middle center\\\":\\\"top center\\\");g||\\\"middle center\\\"!==v||(e.title.position=\\\"top center\\\"),i.coerceFont(c,\\\"title.font\\\",n.font)}c(\\\"sort\\\"),c(\\\"direction\\\"),c(\\\"rotation\\\"),c(\\\"pull\\\")}else e.visible=!1}}},{\\\"../../lib\\\":795,\\\"../../plots/domain\\\":872,\\\"../bar/defaults\\\":937,\\\"./attributes\\\":1184,\\\"fast-isnumeric\\\":241}],1188:[function(t,e,r){\\\"use strict\\\";var n=t(\\\"../../components/fx/helpers\\\").appendArrayMultiPointValues;e.exports=function(t,e){var r={curveNumber:e.index,pointNumbers:t.pts,data:e._input,fullData:e,label:t.label,color:t.color,value:t.v,percent:t.percent,text:t.text,v:t.v};return 1===t.pts.length&&(r.pointNumber=r.i=t.pts[0]),n(r,e,t.pts),\\\"funnelarea\\\"===e.type&&(delete r.v,delete r.i),r}},{\\\"../../components/fx/helpers\\\":694}],1189:[function(t,e,r){\\\"use strict\\\";var n=t(\\\"../../lib\\\");function i(t){return-1!==t.indexOf(\\\"e\\\")?t.replace(/[.]?0+e/,\\\"e\\\"):-1!==t.indexOf(\\\".\\\")?t.replace(/[.]?0+$/,\\\"\\\"):t}r.formatPiePercent=function(t,e){var r=i((100*t).toPrecision(3));return n.numSeparate(r,e)+\\\"%\\\"},r.formatPieValue=function(t,e){var r=i(t.toPrecision(10));return n.numSeparate(r,e)},r.getFirstFilled=function(t,e){if(Array.isArray(t))for(var r=0;r<e.length;r++){var n=t[e[r]];if(n||0===n||\\\"\\\"===n)return n}},r.castOption=function(t,e){return Array.isArray(t)?r.getFirstFilled(t,e):t||void 0},r.getRotationAngle=function(t){return(\\\"auto\\\"===t?0:t)*Math.PI/180}},{\\\"../../lib\\\":795}],1190:[function(t,e,r){\\\"use strict\\\";e.exports={attributes:t(\\\"./attributes\\\"),supplyDefaults:t(\\\"./defaults\\\").supplyDefaults,supplyLayoutDefaults:t(\\\"./layout_defaults\\\"),layoutAttributes:t(\\\"./layout_attributes\\\"),calc:t(\\\"./calc\\\").calc,crossTraceCalc:t(\\\"./calc\\\").crossTraceCalc,plot:t(\\\"./plot\\\").plot,style:t(\\\"./style\\\"),styleOne:t(\\\"./style_one\\\"),moduleType:\\\"trace\\\",name:\\\"pie\\\",basePlotModule:t(\\\"./base_plot\\\"),categories:[\\\"pie-like\\\",\\\"pie\\\",\\\"showLegend\\\"],meta:{}}},{\\\"./attributes\\\":1184,\\\"./base_plot\\\":1185,\\\"./calc\\\":1186,\\\"./defaults\\\":1187,\\\"./layout_attributes\\\":1191,\\\"./layout_defaults\\\":1192,\\\"./plot\\\":1193,\\\"./style\\\":1194,\\\"./style_one\\\":1195}],1191:[function(t,e,r){\\\"use strict\\\";e.exports={hiddenlabels:{valType:\\\"data_array\\\",editType:\\\"calc\\\"},piecolorway:{valType:\\\"colorlist\\\",editType:\\\"calc\\\"},extendpiecolors:{valType:\\\"boolean\\\",dflt:!0,editType:\\\"calc\\\"}}},{}],1192:[function(t,e,r){\\\"use strict\\\";var n=t(\\\"../../lib\\\"),i=t(\\\"./layout_attributes\\\");e.exports=function(t,e){function r(r,a){return n.coerce(t,e,i,r,a)}r(\\\"hiddenlabels\\\"),r(\\\"piecolorway\\\",e.colorway),r(\\\"extendpiecolors\\\")}},{\\\"../../lib\\\":795,\\\"./layout_attributes\\\":1191}],1193:[function(t,e,r){\\\"use strict\\\";var n=t(\\\"@plotly/d3\\\"),i=t(\\\"../../plots/plots\\\"),a=t(\\\"../../components/fx\\\"),o=t(\\\"../../components/color\\\"),s=t(\\\"../../components/drawing\\\"),l=t(\\\"../../lib\\\"),c=l.strScale,u=l.strTranslate,f=t(\\\"../../lib/svg_text_utils\\\"),h=t(\\\"../bar/uniform_text\\\"),p=h.recordMinTextSize,d=h.clearMinTextSize,m=t(\\\"../bar/constants\\\").TEXTPAD,g=t(\\\"./helpers\\\"),v=t(\\\"./event_data\\\"),y=t(\\\"../../lib\\\").isValidTextValue;function x(t,e,r){var i=r[0],o=i.trace,s=i.cx,c=i.cy;\\\"_hasHoverLabel\\\"in o||(o._hasHoverLabel=!1),\\\"_hasHoverEvent\\\"in o||(o._hasHoverEvent=!1),t.on(\\\"mouseover\\\",(function(t){var r=e._fullLayout,u=e._fullData[o.index];if(!e._dragging&&!1!==r.hovermode){var f=u.hoverinfo;if(Array.isArray(f)&&(f=a.castHoverinfo({hoverinfo:[g.castOption(f,t.pts)],_module:o._module},r,0)),\\\"all\\\"===f&&(f=\\\"label+text+value+percent+name\\\"),u.hovertemplate||\\\"none\\\"!==f&&\\\"skip\\\"!==f&&f){var h=t.rInscribed||0,p=s+t.pxmid[0]*(1-h),d=c+t.pxmid[1]*(1-h),m=r.separators,y=[];if(f&&-1!==f.indexOf(\\\"label\\\")&&y.push(t.label),t.text=g.castOption(u.hovertext||u.text,t.pts),f&&-1!==f.indexOf(\\\"text\\\")){var x=t.text;l.isValidTextValue(x)&&y.push(x)}t.value=t.v,t.valueLabel=g.formatPieValue(t.v,m),f&&-1!==f.indexOf(\\\"value\\\")&&y.push(t.valueLabel),t.percent=t.v/i.vTotal,t.percentLabel=g.formatPiePercent(t.percent,m),f&&-1!==f.indexOf(\\\"percent\\\")&&y.push(t.percentLabel);var b=u.hoverlabel,_=b.font;a.loneHover({trace:o,x0:p-h*i.r,x1:p+h*i.r,y:d,text:y.join(\\\"<br>\\\"),name:u.hovertemplate||-1!==f.indexOf(\\\"name\\\")?u.name:void 0,idealAlign:t.pxmid[0]<0?\\\"left\\\":\\\"right\\\",color:g.castOption(b.bgcolor,t.pts)||t.color,borderColor:g.castOption(b.bordercolor,t.pts),fontFamily:g.castOption(_.family,t.pts),fontSize:g.castOption(_.size,t.pts),fontColor:g.castOption(_.color,t.pts),nameLength:g.castOption(b.namelength,t.pts),textAlign:g.castOption(b.align,t.pts),hovertemplate:g.castOption(u.hovertemplate,t.pts),hovertemplateLabels:t,eventData:[v(t,u)]},{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:e}),o._hasHoverLabel=!0}o._hasHoverEvent=!0,e.emit(\\\"plotly_hover\\\",{points:[v(t,u)],event:n.event})}})),t.on(\\\"mouseout\\\",(function(t){var r=e._fullLayout,i=e._fullData[o.index],s=n.select(this).datum();o._hasHoverEvent&&(t.originalEvent=n.event,e.emit(\\\"plotly_unhover\\\",{points:[v(s,i)],event:n.event}),o._hasHoverEvent=!1),o._hasHoverLabel&&(a.loneUnhover(r._hoverlayer.node()),o._hasHoverLabel=!1)})),t.on(\\\"click\\\",(function(t){var r=e._fullLayout,i=e._fullData[o.index];e._dragging||!1===r.hovermode||(e._hoverdata=[v(t,i)],a.click(e,n.event))}))}function b(t,e,r){var n=g.castOption(t.insidetextfont.color,e.pts);!n&&t._input.textfont&&(n=g.castOption(t._input.textfont.color,e.pts));var i=g.castOption(t.insidetextfont.family,e.pts)||g.castOption(t.textfont.family,e.pts)||r.family,a=g.castOption(t.insidetextfont.size,e.pts)||g.castOption(t.textfont.size,e.pts)||r.size;return{color:n||o.contrast(e.color),family:i,size:a}}function _(t,e){for(var r,n,i=0;i<t.length;i++)if((n=(r=t[i][0]).trace).title.text){var a=n.title.text;n._meta&&(a=l.templateString(a,n._meta));var o=s.tester.append(\\\"text\\\").attr(\\\"data-notex\\\",1).text(a).call(s.font,n.title.font).call(f.convertToTspans,e),c=s.bBox(o.node(),!0);r.titleBox={width:c.width,height:c.height},o.remove()}}function w(t,e,r){var n=r.r||e.rpx1,i=e.rInscribed;if(e.startangle===e.stopangle)return{rCenter:1-i,scale:0,rotate:0,textPosAngle:0};var a,o=e.ring,s=1===o&&Math.abs(e.startangle-e.stopangle)===2*Math.PI,l=e.halfangle,c=e.midangle,u=r.trace.insidetextorientation,f=\\\"horizontal\\\"===u,h=\\\"tangential\\\"===u,p=\\\"radial\\\"===u,d=\\\"auto\\\"===u,m=[];if(!d){var g,v=function(r,i){if(function(t,e){var r=t.startangle,n=t.stopangle;return r>e&&e>n||r<e&&e<n}(e,r)){var s=Math.abs(r-e.startangle),l=Math.abs(r-e.stopangle),c=s<l?s:l;(a=\\\"tan\\\"===i?k(t,n,o,c,0):T(t,n,o,c,Math.PI/2)).textPosAngle=r,m.push(a)}};if(f||h){for(g=4;g>=-4;g-=2)v(Math.PI*g,\\\"tan\\\");for(g=4;g>=-4;g-=2)v(Math.PI*(g+1),\\\"tan\\\")}if(f||p){for(g=4;g>=-4;g-=2)v(Math.PI*(g+1.5),\\\"rad\\\");for(g=4;g>=-4;g-=2)v(Math.PI*(g+.5),\\\"rad\\\")}}if(s||d||f){var y=Math.sqrt(t.width*t.width+t.height*t.height);if((a={scale:i*n*2/y,rCenter:1-i,rotate:0}).textPosAngle=(e.startangle+e.stopangle)/2,a.scale>=1)return a;m.push(a)}(d||p)&&((a=T(t,n,o,l,c)).textPosAngle=(e.startangle+e.stopangle)/2,m.push(a)),(d||h)&&((a=k(t,n,o,l,c)).textPosAngle=(e.startangle+e.stopangle)/2,m.push(a));for(var x=0,b=0,_=0;_<m.length;_++){var w=m[_].scale;if(b<w&&(b=w,x=_),!d&&b>=1)break}return m[x]}function T(t,e,r,n,i){e=Math.max(0,e-2*m);var a=t.width/t.height,o=S(a,n,e,r);return{scale:2*o/t.height,rCenter:M(a,o/e),rotate:A(i)}}function k(t,e,r,n,i){e=Math.max(0,e-2*m);var a=t.height/t.width,o=S(a,n,e,r);return{scale:2*o/t.width,rCenter:M(a,o/e),rotate:A(i+Math.PI/2)}}function M(t,e){return Math.cos(e)-t*e}function A(t){return(180/Math.PI*t+720)%180-90}function S(t,e,r,n){var i=t+1/(2*Math.tan(e));return r*Math.min(1/(Math.sqrt(i*i+.5)+i),n/(Math.sqrt(t*t+n/2)+t))}function E(t,e){return t.v!==e.vTotal||e.trace.hole?Math.min(1/(1+1/Math.sin(t.halfangle)),t.ring/2):1}function L(t,e){var r=e.pxmid[0],n=e.pxmid[1],i=t.width/2,a=t.height/2;return r<0&&(i*=-1),n<0&&(a*=-1),{scale:1,rCenter:1,rotate:0,x:i+Math.abs(a)*(i>0?1:-1)/2,y:a/(1+r*r/(n*n)),outside:!0}}function C(t,e){var r,n,i,a=t.trace,o={x:t.cx,y:t.cy},s={tx:0,ty:0};s.ty+=a.title.font.size,i=I(a),-1!==a.title.position.indexOf(\\\"top\\\")?(o.y-=(1+i)*t.r,s.ty-=t.titleBox.height):-1!==a.title.position.indexOf(\\\"bottom\\\")&&(o.y+=(1+i)*t.r);var l,c,u=(l=t.r,c=t.trace.aspectratio,l/(void 0===c?1:c)),f=e.w*(a.domain.x[1]-a.domain.x[0])/2;return-1!==a.title.position.indexOf(\\\"left\\\")?(f+=u,o.x-=(1+i)*u,s.tx+=t.titleBox.width/2):-1!==a.title.position.indexOf(\\\"center\\\")?f*=2:-1!==a.title.position.indexOf(\\\"right\\\")&&(f+=u,o.x+=(1+i)*u,s.tx-=t.titleBox.width/2),r=f/t.titleBox.width,n=P(t,e)/t.titleBox.height,{x:o.x,y:o.y,scale:Math.min(r,n),tx:s.tx,ty:s.ty}}function P(t,e){var r=t.trace,n=e.h*(r.domain.y[1]-r.domain.y[0]);return Math.min(t.titleBox.height,n/2)}function I(t){var e,r=t.pull;if(!r)return 0;if(Array.isArray(r))for(r=0,e=0;e<t.pull.length;e++)t.pull[e]>r&&(r=t.pull[e]);return r}function O(t,e){for(var r=[],n=0;n<t.length;n++){var i=t[n][0],a=i.trace,o=a.domain,s=e.w*(o.x[1]-o.x[0]),l=e.h*(o.y[1]-o.y[0]);a.title.text&&\\\"middle center\\\"!==a.title.position&&(l-=P(i,e));var c=s/2,u=l/2;\\\"funnelarea\\\"!==a.type||a.scalegroup||(u/=a.aspectratio),i.r=Math.min(c,u)/(1+I(a)),i.cx=e.l+e.w*(a.domain.x[1]+a.domain.x[0])/2,i.cy=e.t+e.h*(1-a.domain.y[0])-l/2,a.title.text&&-1!==a.title.position.indexOf(\\\"bottom\\\")&&(i.cy-=P(i,e)),a.scalegroup&&-1===r.indexOf(a.scalegroup)&&r.push(a.scalegroup)}!function(t,e){for(var r,n,i,a=0;a<e.length;a++){var o=1/0,s=e[a];for(n=0;n<t.length;n++)if(r=t[n][0],(i=r.trace).scalegroup===s){var l;if(\\\"pie\\\"===i.type)l=r.r*r.r;else if(\\\"funnelarea\\\"===i.type){var c,u;i.aspectratio>1?(c=r.r,u=c/i.aspectratio):(u=r.r,c=u*i.aspectratio),c*=(1+i.baseratio)/2,l=c*u}o=Math.min(o,l/r.vTotal)}for(n=0;n<t.length;n++)if(r=t[n][0],(i=r.trace).scalegroup===s){var f=o*r.vTotal;\\\"funnelarea\\\"===i.type&&(f/=(1+i.baseratio)/2,f/=i.aspectratio),r.r=Math.sqrt(f)}}}(t,r)}function z(t,e){return[t*Math.sin(e),-t*Math.cos(e)]}function D(t,e,r){var n=t._fullLayout,i=r.trace,a=i.texttemplate,o=i.textinfo;if(!a&&o&&\\\"none\\\"!==o){var s,c=o.split(\\\"+\\\"),u=function(t){return-1!==c.indexOf(t)},f=u(\\\"label\\\"),h=u(\\\"text\\\"),p=u(\\\"value\\\"),d=u(\\\"percent\\\"),m=n.separators;if(s=f?[e.label]:[],h){var v=g.getFirstFilled(i.text,e.pts);y(v)&&s.push(v)}p&&s.push(g.formatPieValue(e.v,m)),d&&s.push(g.formatPiePercent(e.v/r.vTotal,m)),e.text=s.join(\\\"<br>\\\")}if(a){var x=l.castOption(i,e.i,\\\"texttemplate\\\");if(x){var b=function(t){return{label:t.label,value:t.v,valueLabel:g.formatPieValue(t.v,n.separators),percent:t.v/r.vTotal,percentLabel:g.formatPiePercent(t.v/r.vTotal,n.separators),color:t.color,text:t.text,customdata:l.castOption(i,t.i,\\\"customdata\\\")}}(e),_=g.getFirstFilled(i.text,e.pts);(y(_)||\\\"\\\"===_)&&(b.text=_),e.text=l.texttemplateString(x,b,t._fullLayout._d3locale,b,i._meta||{})}else e.text=\\\"\\\"}}function R(t,e){var r=t.rotate*Math.PI/180,n=Math.cos(r),i=Math.sin(r),a=(e.left+e.right)/2,o=(e.top+e.bottom)/2;t.textX=a*n-o*i,t.textY=a*i+o*n,t.noCenter=!0}e.exports={plot:function(t,e){var r=t._fullLayout,a=r._size;d(\\\"pie\\\",r),_(e,t),O(e,a);var h=l.makeTraceGroups(r._pielayer,e,\\\"trace\\\").each((function(e){var h=n.select(this),d=e[0],m=d.trace;!function(t){var e,r,n,i=t[0],a=i.r,o=i.trace,s=g.getRotationAngle(o.rotation),l=2*Math.PI/i.vTotal,c=\\\"px0\\\",u=\\\"px1\\\";if(\\\"counterclockwise\\\"===o.direction){for(e=0;e<t.length&&t[e].hidden;e++);if(e===t.length)return;s+=l*t[e].v,l*=-1,c=\\\"px1\\\",u=\\\"px0\\\"}for(n=z(a,s),e=0;e<t.length;e++)(r=t[e]).hidden||(r[c]=n,r.startangle=s,s+=l*r.v/2,r.pxmid=z(a,s),r.midangle=s,s+=l*r.v/2,n=z(a,s),r.stopangle=s,r[u]=n,r.largeArc=r.v>i.vTotal/2?1:0,r.halfangle=Math.PI*Math.min(r.v/i.vTotal,.5),r.ring=1-o.hole,r.rInscribed=E(r,i))}(e),h.attr(\\\"stroke-linejoin\\\",\\\"round\\\"),h.each((function(){var v=n.select(this).selectAll(\\\"g.slice\\\").data(e);v.enter().append(\\\"g\\\").classed(\\\"slice\\\",!0),v.exit().remove();var y=[[[],[]],[[],[]]],_=!1;v.each((function(i,a){if(i.hidden)n.select(this).selectAll(\\\"path,g\\\").remove();else{i.pointNumber=i.i,i.curveNumber=m.index,y[i.pxmid[1]<0?0:1][i.pxmid[0]<0?0:1].push(i);var 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S=g.castOption(m.textposition,i.pts),E=u.selectAll(\\\"g.slicetext\\\").data(i.text&&\\\"none\\\"!==S?[0]:[]);E.enter().append(\\\"g\\\").classed(\\\"slicetext\\\",!0),E.exit().remove(),E.each((function(){var u=l.ensureSingle(n.select(this),\\\"text\\\",\\\"\\\",(function(t){t.attr(\\\"data-notex\\\",1)})),h=l.ensureUniformFontSize(t,\\\"outside\\\"===S?function(t,e,r){var n=g.castOption(t.outsidetextfont.color,e.pts)||g.castOption(t.textfont.color,e.pts)||r.color,i=g.castOption(t.outsidetextfont.family,e.pts)||g.castOption(t.textfont.family,e.pts)||r.family,a=g.castOption(t.outsidetextfont.size,e.pts)||g.castOption(t.textfont.size,e.pts)||r.size;return{color:n,family:i,size:a}}(m,i,r.font):b(m,i,r.font));u.text(i.text).attr({class:\\\"slicetext\\\",transform:\\\"\\\",\\\"text-anchor\\\":\\\"middle\\\"}).call(s.font,h).call(f.convertToTspans,t);var v,y=s.bBox(u.node());if(\\\"outside\\\"===S)v=L(y,i);else if(v=w(y,i,d),\\\"auto\\\"===S&&v.scale<1){var 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n=t(\\\"gl-pointcloud2d\\\"),i=t(\\\"../../lib/str2rgbarray\\\"),a=t(\\\"../../plots/cartesian/autorange\\\").findExtremes,o=t(\\\"../scatter/get_trace_color\\\");function s(t,e){this.scene=t,this.uid=e,this.type=\\\"pointcloud\\\",this.pickXData=[],this.pickYData=[],this.xData=[],this.yData=[],this.textLabels=[],this.color=\\\"rgb(0, 0, 0)\\\",this.name=\\\"\\\",this.hoverinfo=\\\"all\\\",this.idToIndex=new Int32Array(0),this.bounds=[0,0,0,0],this.pointcloudOptions={positions:new Float32Array(0),idToIndex:this.idToIndex,sizemin:.5,sizemax:12,color:[0,0,0,1],areaRatio:1,borderColor:[0,0,0,1]},this.pointcloud=n(t.glplot,this.pointcloudOptions),this.pointcloud._trace=this}var l=s.prototype;l.handlePick=function(t){var e=this.idToIndex[t.pointId];return{trace:this,dataCoord:t.dataCoord,traceCoord:this.pickXYData?[this.pickXYData[2*e],this.pickXYData[2*e+1]]:[this.pickXData[e],this.pickYData[e]],textLabel:Array.isArray(this.textLabels)?this.textLabels[e]:this.textLabels,color:this.color,name:this.name,pointIndex:e,hoverinfo:this.hoverinfo}},l.update=function(t){this.index=t.index,this.textLabels=t.text,this.name=t.name,this.hoverinfo=t.hoverinfo,this.bounds=[1/0,1/0,-1/0,-1/0],this.updateFast(t),this.color=o(t,{})},l.updateFast=function(t){var e,r,n,o,s,l,c=this.xData=this.pickXData=t.x,u=this.yData=this.pickYData=t.y,f=this.pickXYData=t.xy,h=t.xbounds&&t.ybounds,p=t.indices,d=this.bounds;if(f){if(n=f,e=f.length>>>1,h)d[0]=t.xbounds[0],d[2]=t.xbounds[1],d[1]=t.ybounds[0],d[3]=t.ybounds[1];else for(l=0;l<e;l++)o=n[2*l],s=n[2*l+1],o<d[0]&&(d[0]=o),o>d[2]&&(d[2]=o),s<d[1]&&(d[1]=s),s>d[3]&&(d[3]=s);if(p)r=p;else for(r=new Int32Array(e),l=0;l<e;l++)r[l]=l}else for(e=c.length,n=new Float32Array(2*e),r=new 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e,r;t.circular?(e=(t.circularPathData.leftInnerExtent+t.circularPathData.rightInnerExtent)/2,r=t.circularPathData.verticalFullExtent):(e=(t.source.x1+t.target.x0)/2,r=(t.y0+t.y1)/2);var n=[e,r];return\\\"v\\\"===t.trace.orientation&&n.reverse(),n[0]+=i.parent.translateX,n[1]+=i.parent.translateY,n}},unhover:function(e,i,o){!1!==t._fullLayout.hovermode&&(n.select(e).call(x.bind(0,i,o,!0)),\\\"skip\\\"!==i.link.trace.link.hoverinfo&&(i.link.fullData=i.link.trace,t.emit(\\\"plotly_unhover\\\",{event:n.event,points:[i.link]})),a.loneUnhover(r._hoverlayer.node()))},select:function(e,r){var i=r.link;i.originalEvent=n.event,t._hoverdata=[i],a.click(t,{target:!0})}},nodeEvents:{hover:function(e,r,i){!1!==t._fullLayout.hovermode&&(n.select(e).call(g,r,i),\\\"skip\\\"!==r.node.trace.node.hoverinfo&&(r.node.fullData=r.node.trace,t.emit(\\\"plotly_hover\\\",{event:n.event,points:[r.node]})))},follow:function(e,i){if(!1!==t._fullLayout.hovermode){var 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n,i=y(e),a=i.trace,u=a.domain,f=\\\"h\\\"===a.orientation,p=a.node.pad,d=a.node.thickness,m=t.width*(u.x[1]-u.x[0]),g=t.height*(u.y[1]-u.y[0]),v=i._nodes,x=i._links,b=i.circular;(n=b?s.sankeyCircular().circularLinkGap(0):o.sankey()).iterations(l.sankeyIterations).size(f?[m,g]:[g,m]).nodeWidth(d).nodePadding(p).nodeId((function(t){return t.pointNumber})).nodes(v).links(x);var _,w,T,k=n();for(var M in n.nodePadding()<p&&h.warn(\\\"node.pad was reduced to \\\",n.nodePadding(),\\\" to fit within the figure.\\\"),i._groupLookup){var A,S=parseInt(i._groupLookup[M]);for(_=0;_<k.nodes.length;_++)if(k.nodes[_].pointNumber===S){A=k.nodes[_];break}if(A){var E={pointNumber:parseInt(M),x0:A.x0,x1:A.x1,y0:A.y0,y1:A.y1,partOfGroup:!0,sourceLinks:[],targetLinks:[]};k.nodes.unshift(E),A.childrenNodes.unshift(E)}}if(function(){for(_=0;_<k.nodes.length;_++){var t,e,r=k.nodes[_],n={};for(w=0;w<r.targetLinks.length;w++)t=(e=r.targetLinks[w]).source.pointNumber+\\\":\\\"+e.target.pointNumber,n.hasOwnProperty(t)||(n[t]=[]),n[t].push(e);var i=Object.keys(n);for(w=0;w<i.length;w++){var a=n[t=i[w]],o=0,s={};for(T=0;T<a.length;T++)s[(e=a[T]).label]||(s[e.label]=0),s[e.label]+=e.value,o+=e.value;for(T=0;T<a.length;T++)(e=a[T]).flow={value:o,labelConcentration:s[e.label]/o,concentration:e.value/o,links:a},e.concentrationscale&&(e.color=c(e.concentrationscale(e.flow.labelConcentration)))}var l=0;for(w=0;w<r.sourceLinks.length;w++)l+=r.sourceLinks[w].value;for(w=0;w<r.sourceLinks.length;w++)(e=r.sourceLinks[w]).concentrationOut=e.value/l;var u=0;for(w=0;w<r.targetLinks.length;w++)u+=r.targetLinks[w].value;for(w=0;w<r.targetLinks.length;w++)(e=r.targetLinks[w]).concenrationIn=e.value/u}}(),a.node.x.length&&a.node.y.length){for(_=0;_<Math.min(a.node.x.length,a.node.y.length,k.nodes.length);_++)if(a.node.x[_]&&a.node.y[_]){var L=[a.node.x[_]*m,a.node.y[_]*g];k.nodes[_].x0=L[0]-d/2,k.nodes[_].x1=L[0]+d/2;var C=k.nodes[_].y1-k.nodes[_].y0;k.nodes[_].y0=L[1]-C/2,k.nodes[_].y1=L[1]+C/2}if(\\\"snap\\\"===a.arrangement)!function(t){t.forEach((function(t){var e,r,n,i=0,a=t.length;for(t.sort((function(t,e){return t.y0-e.y0})),n=0;n<a;++n)(e=t[n]).y0>=i||(r=i-e.y0)>1e-6&&(e.y0+=r,e.y1+=r),i=e.y1+p}))}(function(t){var e,r,n=t.map((function(t,e){return{x0:t.x0,index:e}})).sort((function(t,e){return t.x0-e.x0})),i=[],a=-1,o=-1/0;for(_=0;_<n.length;_++){var s=t[n[_].index];s.x0>o+d&&(a+=1,e=s.x0),o=s.x0,i[a]||(i[a]=[]),i[a].push(s),r=e-s.x0,s.x0+=r,s.x1+=r}return i}(v=k.nodes));n.update(k)}return{circular:b,key:r,trace:a,guid:h.randstr(),horizontal:f,width:m,height:g,nodePad:a.node.pad,nodeLineColor:a.node.line.color,nodeLineWidth:a.node.line.width,linkLineColor:a.link.line.color,linkLineWidth:a.link.line.width,valueFormat:a.valueformat,valueSuffix:a.valuesuffix,textFont:a.textfont,translateX:u.x[0]*t.width+t.margin.l,translateY:t.height-u.y[1]*t.height+t.margin.t,dragParallel:f?g:m,dragPerpendicular:f?m:g,arrangement:a.arrangement,sankey:n,graph:k,forceLayouts:{},interactionState:{dragInProgress:!1,hovered:!1}}}function M(t,e,r){var n=c(e.color),i=e.source.label+\\\"|\\\"+e.target.label+\\\"__\\\"+r;return e.trace=t.trace,e.curveNumber=t.trace.index,{circular:t.circular,key:i,traceId:t.key,pointNumber:e.pointNumber,link:e,tinyColorHue:u.tinyRGB(n),tinyColorAlpha:n.getAlpha(),linkPath:A,linkLineColor:t.linkLineColor,linkLineWidth:t.linkLineWidth,valueFormat:t.valueFormat,valueSuffix:t.valueSuffix,sankey:t.sankey,parent:t,interactionState:t.interactionState,flow:e.flow}}function A(){return function(t){if(t.link.circular)return e=t.link,r=e.width/2,n=e.circularPathData,\\\"top\\\"===e.circularLinkType?\\\"M \\\"+n.targetX+\\\" \\\"+(n.targetY+r)+\\\" L\\\"+n.rightInnerExtent+\\\" \\\"+(n.targetY+r)+\\\"A\\\"+(n.rightLargeArcRadius+r)+\\\" \\\"+(n.rightSmallArcRadius+r)+\\\" 0 0 1 \\\"+(n.rightFullExtent-r)+\\\" \\\"+(n.targetY-n.rightSmallArcRadius)+\\\"L\\\"+(n.rightFullExtent-r)+\\\" \\\"+n.verticalRightInnerExtent+\\\"A\\\"+(n.rightLargeArcRadius+r)+\\\" \\\"+(n.rightLargeArcRadius+r)+\\\" 0 0 1 \\\"+n.rightInnerExtent+\\\" \\\"+(n.verticalFullExtent-r)+\\\"L\\\"+n.leftInnerExtent+\\\" \\\"+(n.verticalFullExtent-r)+\\\"A\\\"+(n.leftLargeArcRadius+r)+\\\" \\\"+(n.leftLargeArcRadius+r)+\\\" 0 0 1 \\\"+(n.leftFullExtent+r)+\\\" \\\"+n.verticalLeftInnerExtent+\\\"L\\\"+(n.leftFullExtent+r)+\\\" \\\"+(n.sourceY-n.leftSmallArcRadius)+\\\"A\\\"+(n.leftLargeArcRadius+r)+\\\" \\\"+(n.leftSmallArcRadius+r)+\\\" 0 0 1 \\\"+n.leftInnerExtent+\\\" \\\"+(n.sourceY+r)+\\\"L\\\"+n.sourceX+\\\" \\\"+(n.sourceY+r)+\\\"L\\\"+n.sourceX+\\\" \\\"+(n.sourceY-r)+\\\"L\\\"+n.leftInnerExtent+\\\" \\\"+(n.sourceY-r)+\\\"A\\\"+(n.leftLargeArcRadius-r)+\\\" \\\"+(n.leftSmallArcRadius-r)+\\\" 0 0 0 \\\"+(n.leftFullExtent-r)+\\\" \\\"+(n.sourceY-n.leftSmallArcRadius)+\\\"L\\\"+(n.leftFullExtent-r)+\\\" \\\"+n.verticalLeftInnerExtent+\\\"A\\\"+(n.leftLargeArcRadius-r)+\\\" \\\"+(n.leftLargeArcRadius-r)+\\\" 0 0 0 \\\"+n.leftInnerExtent+\\\" \\\"+(n.verticalFullExtent+r)+\\\"L\\\"+n.rightInnerExtent+\\\" \\\"+(n.verticalFullExtent+r)+\\\"A\\\"+(n.rightLargeArcRadius-r)+\\\" \\\"+(n.rightLargeArcRadius-r)+\\\" 0 0 0 \\\"+(n.rightFullExtent+r)+\\\" \\\"+n.verticalRightInnerExtent+\\\"L\\\"+(n.rightFullExtent+r)+\\\" \\\"+(n.targetY-n.rightSmallArcRadius)+\\\"A\\\"+(n.rightLargeArcRadius-r)+\\\" \\\"+(n.rightSmallArcRadius-r)+\\\" 0 0 0 \\\"+n.rightInnerExtent+\\\" \\\"+(n.targetY-r)+\\\"L\\\"+n.targetX+\\\" \\\"+(n.targetY-r)+\\\"Z\\\":\\\"M \\\"+n.targetX+\\\" \\\"+(n.targetY-r)+\\\" L\\\"+n.rightInnerExtent+\\\" \\\"+(n.targetY-r)+\\\"A\\\"+(n.rightLargeArcRadius+r)+\\\" \\\"+(n.rightSmallArcRadius+r)+\\\" 0 0 0 \\\"+(n.rightFullExtent-r)+\\\" \\\"+(n.targetY+n.rightSmallArcRadius)+\\\"L\\\"+(n.rightFullExtent-r)+\\\" \\\"+n.verticalRightInnerExtent+\\\"A\\\"+(n.rightLargeArcRadius+r)+\\\" \\\"+(n.rightLargeArcRadius+r)+\\\" 0 0 0 \\\"+n.rightInnerExtent+\\\" \\\"+(n.verticalFullExtent+r)+\\\"L\\\"+n.leftInnerExtent+\\\" \\\"+(n.verticalFullExtent+r)+\\\"A\\\"+(n.leftLargeArcRadius+r)+\\\" \\\"+(n.leftLargeArcRadius+r)+\\\" 0 0 0 \\\"+(n.leftFullExtent+r)+\\\" \\\"+n.verticalLeftInnerExtent+\\\"L\\\"+(n.leftFullExtent+r)+\\\" \\\"+(n.sourceY+n.leftSmallArcRadius)+\\\"A\\\"+(n.leftLargeArcRadius+r)+\\\" \\\"+(n.leftSmallArcRadius+r)+\\\" 0 0 0 \\\"+n.leftInnerExtent+\\\" \\\"+(n.sourceY-r)+\\\"L\\\"+n.sourceX+\\\" \\\"+(n.sourceY-r)+\\\"L\\\"+n.sourceX+\\\" \\\"+(n.sourceY+r)+\\\"L\\\"+n.leftInnerExtent+\\\" \\\"+(n.sourceY+r)+\\\"A\\\"+(n.leftLargeArcRadius-r)+\\\" \\\"+(n.leftSmallArcRadius-r)+\\\" 0 0 1 \\\"+(n.leftFullExtent-r)+\\\" \\\"+(n.sourceY+n.leftSmallArcRadius)+\\\"L\\\"+(n.leftFullExtent-r)+\\\" \\\"+n.verticalLeftInnerExtent+\\\"A\\\"+(n.leftLargeArcRadius-r)+\\\" \\\"+(n.leftLargeArcRadius-r)+\\\" 0 0 1 \\\"+n.leftInnerExtent+\\\" \\\"+(n.verticalFullExtent-r)+\\\"L\\\"+n.rightInnerExtent+\\\" \\\"+(n.verticalFullExtent-r)+\\\"A\\\"+(n.rightLargeArcRadius-r)+\\\" \\\"+(n.rightLargeArcRadius-r)+\\\" 0 0 1 \\\"+(n.rightFullExtent+r)+\\\" \\\"+n.verticalRightInnerExtent+\\\"L\\\"+(n.rightFullExtent+r)+\\\" \\\"+(n.targetY+n.rightSmallArcRadius)+\\\"A\\\"+(n.rightLargeArcRadius-r)+\\\" \\\"+(n.rightSmallArcRadius-r)+\\\" 0 0 1 \\\"+n.rightInnerExtent+\\\" \\\"+(n.targetY+r)+\\\"L\\\"+n.targetX+\\\" \\\"+(n.targetY+r)+\\\"Z\\\";var e,r,n,a=t.link.source.x1,o=t.link.target.x0,s=i(a,o),l=s(.5),c=s(.5),u=t.link.y0-t.link.width/2,f=t.link.y0+t.link.width/2,h=t.link.y1-t.link.width/2,p=t.link.y1+t.link.width/2;return\\\"M\\\"+a+\\\",\\\"+u+\\\"C\\\"+l+\\\",\\\"+u+\\\" \\\"+c+\\\",\\\"+h+\\\" \\\"+o+\\\",\\\"+h+\\\"L\\\"+o+\\\",\\\"+p+\\\"C\\\"+c+\\\",\\\"+p+\\\" \\\"+l+\\\",\\\"+f+\\\" \\\"+a+\\\",\\\"+f+\\\"Z\\\"}}function S(t,e){var r=c(e.color),n=l.nodePadAcross,i=t.nodePad/2;e.dx=e.x1-e.x0,e.dy=e.y1-e.y0;var a=e.dx,o=Math.max(.5,e.dy),s=\\\"node_\\\"+e.pointNumber;return e.group&&(s=h.randstr()),e.trace=t.trace,e.curveNumber=t.trace.index,{index:e.pointNumber,key:s,partOfGroup:e.partOfGroup||!1,group:e.group,traceId:t.key,trace:t.trace,node:e,nodePad:t.nodePad,nodeLineColor:t.nodeLineColor,nodeLineWidth:t.nodeLineWidth,textFont:t.textFont,size:t.horizontal?t.height:t.width,visibleWidth:Math.ceil(a),visibleHeight:o,zoneX:-n,zoneY:-i,zoneWidth:a+2*n,zoneHeight:o+2*i,labelY:t.horizontal?e.dy/2+1:e.dx/2+1,left:1===e.originalLayer,sizeAcross:t.width,forceLayouts:t.forceLayouts,horizontal:t.horizontal,darkBackground:r.getBrightness()<=128,tinyColorHue:u.tinyRGB(r),tinyColorAlpha:r.getAlpha(),valueFormat:t.valueFormat,valueSuffix:t.valueSuffix,sankey:t.sankey,graph:t.graph,arrangement:t.arrangement,uniqueNodeLabelPathId:[t.guid,t.key,s].join(\\\"_\\\"),interactionState:t.interactionState,figure:t}}function E(t){t.attr(\\\"transform\\\",(function(t){return p(t.node.x0.toFixed(3),t.node.y0.toFixed(3))}))}function L(t){t.call(E)}function C(t,e){t.call(L),e.attr(\\\"d\\\",A())}function P(t){t.attr(\\\"width\\\",(function(t){return t.node.x1-t.node.x0})).attr(\\\"height\\\",(function(t){return t.visibleHeight}))}function I(t){return t.link.width>1||t.linkLineWidth>0}function O(t){return p(t.translateX,t.translateY)+(t.horizontal?\\\"matrix(1 0 0 1 0 0)\\\":\\\"matrix(0 1 1 0 0 0)\\\")}function z(t,e,r){t.on(\\\".basic\\\",null).on(\\\"mouseover.basic\\\",(function(t){t.interactionState.dragInProgress||t.partOfGroup||(r.hover(this,t,e),t.interactionState.hovered=[this,t])})).on(\\\"mousemove.basic\\\",(function(t){t.interactionState.dragInProgress||t.partOfGroup||(r.follow(this,t),t.interactionState.hovered=[this,t])})).on(\\\"mouseout.basic\\\",(function(t){t.interactionState.dragInProgress||t.partOfGroup||(r.unhover(this,t,e),t.interactionState.hovered=!1)})).on(\\\"click.basic\\\",(function(t){t.interactionState.hovered&&(r.unhover(this,t,e),t.interactionState.hovered=!1),t.interactionState.dragInProgress||t.partOfGroup||r.select(this,t,e)}))}function D(t,e,r,i){var o=a.behavior.drag().origin((function(t){return{x:t.node.x0+t.visibleWidth/2,y:t.node.y0+t.visibleHeight/2}})).on(\\\"dragstart\\\",(function(a){if(\\\"fixed\\\"!==a.arrangement&&(h.ensureSingle(i._fullLayout._infolayer,\\\"g\\\",\\\"dragcover\\\",(function(t){i._fullLayout._dragCover=t})),h.raiseToTop(this),a.interactionState.dragInProgress=a.node,F(a.node),a.interactionState.hovered&&(r.nodeEvents.unhover.apply(0,a.interactionState.hovered),a.interactionState.hovered=!1),\\\"snap\\\"===a.arrangement)){var o=a.traceId+\\\"|\\\"+a.key;a.forceLayouts[o]?a.forceLayouts[o].alpha(1):function(t,e,r,i){!function(t){for(var e=0;e<t.length;e++)t[e].y=(t[e].y0+t[e].y1)/2,t[e].x=(t[e].x0+t[e].x1)/2}(r.graph.nodes);var a=r.graph.nodes.filter((function(t){return t.originalX===r.node.originalX})).filter((function(t){return!t.partOfGroup}));r.forceLayouts[e]=n.forceSimulation(a).alphaDecay(0).force(\\\"collide\\\",n.forceCollide().radius((function(t){return t.dy/2+r.nodePad/2})).strength(1).iterations(l.forceIterations)).force(\\\"constrain\\\",function(t,e,r,n){return function(){for(var t=0,i=0;i<r.length;i++){var a=r[i];a===n.interactionState.dragInProgress?(a.x=a.lastDraggedX,a.y=a.lastDraggedY):(a.vx=(a.originalX-a.x)/l.forceTicksPerFrame,a.y=Math.min(n.size-a.dy/2,Math.max(a.dy/2,a.y))),t=Math.max(t,Math.abs(a.vx),Math.abs(a.vy))}!n.interactionState.dragInProgress&&t<.1&&n.forceLayouts[e].alpha()>0&&n.forceLayouts[e].alpha(0)}}(0,e,a,r)).stop()}(0,o,a),function(t,e,r,n,i){window.requestAnimationFrame((function a(){var o;for(o=0;o<l.forceTicksPerFrame;o++)r.forceLayouts[n].tick();if(function(t){for(var e=0;e<t.length;e++)t[e].y0=t[e].y-t[e].dy/2,t[e].y1=t[e].y0+t[e].dy,t[e].x0=t[e].x-t[e].dx/2,t[e].x1=t[e].x0+t[e].dx}(r.graph.nodes),r.sankey.update(r.graph),C(t.filter(B(r)),e),r.forceLayouts[n].alpha()>0)window.requestAnimationFrame(a);else{var s=r.node.originalX;r.node.x0=s-r.visibleWidth/2,r.node.x1=s+r.visibleWidth/2,R(r,i)}}))}(t,e,a,o,i)}})).on(\\\"drag\\\",(function(r){if(\\\"fixed\\\"!==r.arrangement){var n=a.event.x,i=a.event.y;\\\"snap\\\"===r.arrangement?(r.node.x0=n-r.visibleWidth/2,r.node.x1=n+r.visibleWidth/2,r.node.y0=i-r.visibleHeight/2,r.node.y1=i+r.visibleHeight/2):(\\\"freeform\\\"===r.arrangement&&(r.node.x0=n-r.visibleWidth/2,r.node.x1=n+r.visibleWidth/2),i=Math.max(0,Math.min(r.size-r.visibleHeight/2,i)),r.node.y0=i-r.visibleHeight/2,r.node.y1=i+r.visibleHeight/2),F(r.node),\\\"snap\\\"!==r.arrangement&&(r.sankey.update(r.graph),C(t.filter(B(r)),e))}})).on(\\\"dragend\\\",(function(t){if(\\\"fixed\\\"!==t.arrangement){t.interactionState.dragInProgress=!1;for(var e=0;e<t.node.childrenNodes.length;e++)t.node.childrenNodes[e].x=t.node.x,t.node.childrenNodes[e].y=t.node.y;\\\"snap\\\"!==t.arrangement&&R(t,i)}}));t.on(\\\".drag\\\",null).call(o)}function R(t,e){for(var r=[],n=[],i=0;i<t.graph.nodes.length;i++){var a=(t.graph.nodes[i].x0+t.graph.nodes[i].x1)/2,o=(t.graph.nodes[i].y0+t.graph.nodes[i].y1)/2;r.push(a/t.figure.width),n.push(o/t.figure.height)}b.call(\\\"_guiRestyle\\\",e,{\\\"node.x\\\":[r],\\\"node.y\\\":[n]},t.trace.index).then((function(){e._fullLayout._dragCover&&e._fullLayout._dragCover.remove()}))}function F(t){t.lastDraggedX=t.x0+t.dx/2,t.lastDraggedY=t.y0+t.dy/2}function B(t){return function(e){return e.node.originalX===t.node.originalX}}e.exports=function(t,e,r,n,i){var o=!1;h.ensureSingle(t._fullLayout._infolayer,\\\"g\\\",\\\"first-render\\\",(function(){o=!0}));var s=t._fullLayout._dragCover,m=r.filter((function(t){return y(t).trace.visible})).map(k.bind(null,n)),b=e.selectAll(\\\".\\\"+l.cn.sankey).data(m,g);b.exit().remove(),b.enter().append(\\\"g\\\").classed(l.cn.sankey,!0).style(\\\"box-sizing\\\",\\\"content-box\\\").style(\\\"position\\\",\\\"absolute\\\").style(\\\"left\\\",0).style(\\\"shape-rendering\\\",\\\"geometricPrecision\\\").style(\\\"pointer-events\\\",\\\"auto\\\").attr(\\\"transform\\\",O),b.each((function(e,r){t._fullData[r]._sankey=e;var n=\\\"bgsankey-\\\"+e.trace.uid+\\\"-\\\"+r;h.ensureSingle(t._fullLayout._draggers,\\\"rect\\\",n),t._fullData[r]._bgRect=a.select(\\\".\\\"+n),t._fullData[r]._bgRect.style(\\\"pointer-events\\\",\\\"all\\\").attr(\\\"width\\\",e.width).attr(\\\"height\\\",e.height).attr(\\\"x\\\",e.translateX).attr(\\\"y\\\",e.translateY).classed(\\\"bgsankey\\\",!0).style({fill:\\\"transparent\\\",\\\"stroke-width\\\":0})})),b.transition().ease(l.ease).duration(l.duration).attr(\\\"transform\\\",O);var _=b.selectAll(\\\".\\\"+l.cn.sankeyLinks).data(v,g);_.enter().append(\\\"g\\\").classed(l.cn.sankeyLinks,!0).style(\\\"fill\\\",\\\"none\\\");var L=_.selectAll(\\\".\\\"+l.cn.sankeyLink).data((function(t){return t.graph.links.filter((function(t){return t.value})).map(M.bind(null,t))}),g);L.enter().append(\\\"path\\\").classed(l.cn.sankeyLink,!0).call(z,b,i.linkEvents),L.style(\\\"stroke\\\",(function(t){return I(t)?u.tinyRGB(c(t.linkLineColor)):t.tinyColorHue})).style(\\\"stroke-opacity\\\",(function(t){return I(t)?u.opacity(t.linkLineColor):t.tinyColorAlpha})).style(\\\"fill\\\",(function(t){return t.tinyColorHue})).style(\\\"fill-opacity\\\",(function(t){return t.tinyColorAlpha})).style(\\\"stroke-width\\\",(function(t){return I(t)?t.linkLineWidth:1})).attr(\\\"d\\\",A()),L.style(\\\"opacity\\\",(function(){return t._context.staticPlot||o||s?1:0})).transition().ease(l.ease).duration(l.duration).style(\\\"opacity\\\",1),L.exit().transition().ease(l.ease).duration(l.duration).style(\\\"opacity\\\",0).remove();var C=b.selectAll(\\\".\\\"+l.cn.sankeyNodeSet).data(v,g);C.enter().append(\\\"g\\\").classed(l.cn.sankeyNodeSet,!0),C.style(\\\"cursor\\\",(function(t){switch(t.arrangement){case\\\"fixed\\\":return\\\"default\\\";case\\\"perpendicular\\\":return\\\"ns-resize\\\";default:return\\\"move\\\"}}));var R=C.selectAll(\\\".\\\"+l.cn.sankeyNode).data((function(t){var e=t.graph.nodes;return function(t){var e,r=[];for(e=0;e<t.length;e++)t[e].originalX=(t[e].x0+t[e].x1)/2,t[e].originalY=(t[e].y0+t[e].y1)/2,-1===r.indexOf(t[e].originalX)&&r.push(t[e].originalX);for(r.sort((function(t,e){return t-e})),e=0;e<t.length;e++)t[e].originalLayerIndex=r.indexOf(t[e].originalX),t[e].originalLayer=t[e].originalLayerIndex/(r.length-1)}(e),e.map(S.bind(null,t))}),g);R.enter().append(\\\"g\\\").classed(l.cn.sankeyNode,!0).call(E).style(\\\"opacity\\\",(function(e){return!t._context.staticPlot&&!o||e.partOfGroup?0:1})),R.call(z,b,i.nodeEvents).call(D,L,i,t),R.transition().ease(l.ease).duration(l.duration).call(E).style(\\\"opacity\\\",(function(t){return t.partOfGroup?0:1})),R.exit().transition().ease(l.ease).duration(l.duration).style(\\\"opacity\\\",0).remove();var F=R.selectAll(\\\".\\\"+l.cn.nodeRect).data(v);F.enter().append(\\\"rect\\\").classed(l.cn.nodeRect,!0).call(P),F.style(\\\"stroke-width\\\",(function(t){return t.nodeLineWidth})).style(\\\"stroke\\\",(function(t){return u.tinyRGB(c(t.nodeLineColor))})).style(\\\"stroke-opacity\\\",(function(t){return u.opacity(t.nodeLineColor)})).style(\\\"fill\\\",(function(t){return t.tinyColorHue})).style(\\\"fill-opacity\\\",(function(t){return t.tinyColorAlpha})),F.transition().ease(l.ease).duration(l.duration).call(P);var B=R.selectAll(\\\".\\\"+l.cn.nodeLabel).data(v);B.enter().append(\\\"text\\\").classed(l.cn.nodeLabel,!0).style(\\\"cursor\\\",\\\"default\\\"),B.attr(\\\"data-notex\\\",1).text((function(t){return t.node.label})).each((function(e){var r=a.select(this);f.font(r,e.textFont),x.convertToTspans(r,t)})).style(\\\"text-shadow\\\",x.makeTextShadow(t._fullLayout.paper_bgcolor)).attr(\\\"text-anchor\\\",(function(t){return t.horizontal&&t.left?\\\"end\\\":\\\"start\\\"})).attr(\\\"transform\\\",(function(t){var e=a.select(this),r=x.lineCount(e),n=t.textFont.size*((r-1)*T-w),i=t.nodeLineWidth/2+3,o=((t.horizontal?t.visibleHeight:t.visibleWidth)-n)/2;t.horizontal&&(t.left?i=-i:i+=t.visibleWidth);var s=t.horizontal?\\\"\\\":\\\"scale(-1,1)\\\"+d(90);return p(t.horizontal?i:o,t.horizontal?o:i)+s})),B.transition().ease(l.ease).duration(l.duration)}},{\\\"../../components/color\\\":658,\\\"../../components/drawing\\\":680,\\\"../../constants/alignment\\\":763,\\\"../../lib\\\":795,\\\"../../lib/gup\\\":792,\\\"../../lib/svg_text_utils\\\":820,\\\"../../registry\\\":923,\\\"./constants\\\":1203,\\\"@plotly/d3\\\":58,\\\"@plotly/d3-sankey\\\":57,\\\"@plotly/d3-sankey-circular\\\":56,\\\"d3-force\\\":162,\\\"d3-interpolate\\\":164,tinycolor2:590}],1208:[function(t,e,r){\\\"use strict\\\";e.exports=function(t,e){for(var r=[],n=t.cd[0].trace,i=n._sankey.graph.nodes,a=0;a<i.length;a++){var o=i[a];if(!o.partOfGroup){var s=[(o.x0+o.x1)/2,(o.y0+o.y1)/2];\\\"v\\\"===n.orientation&&s.reverse(),e&&e.contains(s,!1,a,t)&&r.push({pointNumber:o.pointNumber})}}return r}},{}],1209:[function(t,e,r){\\\"use strict\\\";var n=t(\\\"../../lib\\\");e.exports=function(t,e){for(var r=0;r<t.length;r++)t[r].i=r;n.mergeArray(e.text,t,\\\"tx\\\"),n.mergeArray(e.texttemplate,t,\\\"txt\\\"),n.mergeArray(e.hovertext,t,\\\"htx\\\"),n.mergeArray(e.customdata,t,\\\"data\\\"),n.mergeArray(e.textposition,t,\\\"tp\\\"),e.textfont&&(n.mergeArrayCastPositive(e.textfont.size,t,\\\"ts\\\"),n.mergeArray(e.textfont.color,t,\\\"tc\\\"),n.mergeArray(e.textfont.family,t,\\\"tf\\\"));var i=e.marker;if(i){n.mergeArrayCastPositive(i.size,t,\\\"ms\\\"),n.mergeArrayCastPositive(i.opacity,t,\\\"mo\\\"),n.mergeArray(i.symbol,t,\\\"mx\\\"),n.mergeArray(i.color,t,\\\"mc\\\");var a=i.line;i.line&&(n.mergeArray(a.color,t,\\\"mlc\\\"),n.mergeArrayCastPositive(a.width,t,\\\"mlw\\\"));var o=i.gradient;o&&\\\"none\\\"!==o.type&&(n.mergeArray(o.type,t,\\\"mgt\\\"),n.mergeArray(o.color,t,\\\"mgc\\\"))}}},{\\\"../../lib\\\":795}],1210:[function(t,e,r){\\\"use strict\\\";var n=t(\\\"../../plots/hoverformat_attributes\\\"),i=t(\\\"../../plots/template_attributes\\\").texttemplateAttrs,a=t(\\\"../../plots/template_attributes\\\").hovertemplateAttrs,o=t(\\\"../../components/colorscale/attributes\\\"),s=t(\\\"../../plots/font_attributes\\\"),l=t(\\\"../../components/drawing/attributes\\\").dash,c=t(\\\"../../components/drawing\\\"),u=t(\\\"./constants\\\"),f=t(\\\"../../lib/extend\\\").extendFlat;e.exports={x:{valType:\\\"data_array\\\",editType:\\\"calc+clearAxisTypes\\\",anim:!0},x0:{valType:\\\"any\\\",dflt:0,editType:\\\"calc+clearAxisTypes\\\",anim:!0},dx:{valType:\\\"number\\\",dflt:1,editType:\\\"calc\\\",anim:!0},y:{valType:\\\"data_array\\\",editType:\\\"calc+clearAxisTypes\\\",anim:!0},y0:{valType:\\\"any\\\",dflt:0,editType:\\\"calc+clearAxisTypes\\\",anim:!0},dy:{valType:\\\"number\\\",dflt:1,editType:\\\"calc\\\",anim:!0},xperiod:{valType:\\\"any\\\",dflt:0,editType:\\\"calc\\\"},yperiod:{valType:\\\"any\\\",dflt:0,editType:\\\"calc\\\"},xperiod0:{valType:\\\"any\\\",editType:\\\"calc\\\"},yperiod0:{valType:\\\"any\\\",editType:\\\"calc\\\"},xperiodalignment:{valType:\\\"enumerated\\\",values:[\\\"start\\\",\\\"middle\\\",\\\"end\\\"],dflt:\\\"middle\\\",editType:\\\"calc\\\"},yperiodalignment:{valType:\\\"enumerated\\\",values:[\\\"start\\\",\\\"middle\\\",\\\"end\\\"],dflt:\\\"middle\\\",editType:\\\"calc\\\"},xhoverformat:n(\\\"x\\\"),yhoverformat:n(\\\"y\\\"),stackgroup:{valType:\\\"string\\\",dflt:\\\"\\\",editType:\\\"calc\\\"},orientation:{valType:\\\"enumerated\\\",values:[\\\"v\\\",\\\"h\\\"],editType:\\\"calc\\\"},groupnorm:{valType:\\\"enumerated\\\",values:[\\\"\\\",\\\"fraction\\\",\\\"percent\\\"],dflt:\\\"\\\",editType:\\\"calc\\\"},stackgaps:{valType:\\\"enumerated\\\",values:[\\\"infer 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r={},n=e._carpet,i=n.ab2ij([t.a,t.b]),a=Math.floor(i[0]),o=i[0]-a,s=Math.floor(i[1]),l=i[1]-s,c=n.evalxy([],a,s,o,l);return r.yLabel=c[1].toFixed(3),r}},{}],1249:[function(t,e,r){\\\"use strict\\\";var n=t(\\\"../scatter/hover\\\"),i=t(\\\"../../lib\\\").fillText;e.exports=function(t,e,r,a){var o=n(t,e,r,a);if(o&&!1!==o[0].index){var s=o[0];if(void 0===s.index){var l=1-s.y0/t.ya._length,c=t.xa._length,u=c*l/2,f=c-u;return s.x0=Math.max(Math.min(s.x0,f),u),s.x1=Math.max(Math.min(s.x1,f),u),o}var h=s.cd[s.index];s.a=h.a,s.b=h.b,s.xLabelVal=void 0,s.yLabelVal=void 0;var p=s.trace,d=p._carpet,m=p._module.formatLabels(h,p);s.yLabel=m.yLabel,delete s.text;var g=[];if(!p.hovertemplate){var v=(h.hi||p.hoverinfo).split(\\\"+\\\");-1!==v.indexOf(\\\"all\\\")&&(v=[\\\"a\\\",\\\"b\\\",\\\"text\\\"]),-1!==v.indexOf(\\\"a\\\")&&y(d.aaxis,h.a),-1!==v.indexOf(\\\"b\\\")&&y(d.baxis,h.b),g.push(\\\"y: \\\"+s.yLabel),-1!==v.indexOf(\\\"text\\\")&&i(h,p,g),s.extraText=g.join(\\\"<br>\\\")}return o}function y(t,e){var r;r=t.labelprefix&&t.labelprefix.length>0?t.labelprefix.replace(/ = $/,\\\"\\\"):t._hovertitle,g.push(r+\\\": \\\"+e.toFixed(3)+t.labelsuffix)}}},{\\\"../../lib\\\":795,\\\"../scatter/hover\\\":1221}],1250:[function(t,e,r){\\\"use 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n=t(\\\"../../plots/template_attributes\\\").hovertemplateAttrs,i=t(\\\"../../plots/template_attributes\\\").texttemplateAttrs,a=t(\\\"../scatter/attributes\\\"),o=t(\\\"../../plots/attributes\\\"),s=t(\\\"../../components/colorscale/attributes\\\"),l=t(\\\"../../components/drawing/attributes\\\").dash,c=t(\\\"../../lib/extend\\\").extendFlat,u=t(\\\"../../plot_api/edit_types\\\").overrideAll,f=a.marker,h=a.line,p=f.line;e.exports=u({lon:{valType:\\\"data_array\\\"},lat:{valType:\\\"data_array\\\"},locations:{valType:\\\"data_array\\\"},locationmode:{valType:\\\"enumerated\\\",values:[\\\"ISO-3\\\",\\\"USA-states\\\",\\\"country 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i={opacity:1,text:e.text,texttemplate:e.texttemplate,textposition:e.textposition,textfont:s.extendFlat({},e.textfont)};r.textfont&&s.extendFlat(i.textfont,r.textfont),n=y(t,i)}return n}function w(t,e){var r={capSize:2*e.width,lineWidth:e.thickness,color:e.color};return e.copy_ystyle&&(r=t.error_y),r}var T=d.SYMBOL_SDF_SIZE,k=d.SYMBOL_SIZE,M=d.SYMBOL_STROKE,A={},S=l.symbolFuncs[0](.05*k);function E(t){if(\\\"circle\\\"===t)return null;var e,r,n=l.symbolNumber(t),a=l.symbolFuncs[n%100],o=!!l.symbolNoDot[n%100],s=!!l.symbolNoFill[n%100],c=p.isDotSymbol(t);return A[t]?A[t]:(e=c&&!o?a(1.1*k)+S:a(k),r=i(e,{w:T,h:T,viewBox:[-k,-k,k,k],stroke:s?M:-M}),A[t]=r,r||null)}e.exports={style:function(t,e){var r,n={marker:void 0,markerSel:void 0,markerUnsel:void 0,line:void 0,fill:void 0,errorX:void 0,errorY:void 0,text:void 0,textSel:void 0,textUnsel:void 0};if(!0!==e.visible)return n;if(f.hasText(e)&&(n.text=y(t,e),n.textSel=_(t,e,e.selected),n.textUnsel=_(t,e,e.unselected)),f.hasMarkers(e)&&(n.marker=x(e),n.markerSel=b(e,e.selected),n.markerUnsel=b(e,e.unselected),!e.unselected&&s.isArrayOrTypedArray(e.marker.opacity))){var i=e.marker.opacity;for(n.markerUnsel.opacity=new Array(i.length),r=0;r<i.length;r++)n.markerUnsel.opacity[r]=m*i[r]}if(f.hasLines(e)){n.line={overlay:!0,thickness:e.line.width,color:e.line.color,opacity:e.opacity};var a=(d.DASHES[e.line.dash]||[1]).slice();for(r=0;r<a.length;++r)a[r]*=e.line.width;n.line.dashes=a}return e.error_x&&e.error_x.visible&&(n.errorX=w(e,e.error_x)),e.error_y&&e.error_y.visible&&(n.errorY=w(e,e.error_y)),e.fill&&\\\"none\\\"!==e.fill&&(n.fill={closed:!0,fill:e.fillcolor,thickness:0}),n},markerStyle:x,markerSelection:b,linePositions:function(t,e,r){var n,i,a=r.length,o=a/2;if(f.hasLines(e)&&o)if(\\\"hv\\\"===e.line.shape){for(n=[],i=0;i<o-1;i++)isNaN(r[2*i])||isNaN(r[2*i+1])?n.push(NaN,NaN,NaN,NaN):(n.push(r[2*i],r[2*i+1]),isNaN(r[2*i+2])||isNaN(r[2*i+3])?n.push(NaN,NaN):n.push(r[2*i+2],r[2*i+1]));n.push(r[a-2],r[a-1])}else if(\\\"hvh\\\"===e.line.shape){for(n=[],i=0;i<o-1;i++)if(isNaN(r[2*i])||isNaN(r[2*i+1])||isNaN(r[2*i+2])||isNaN(r[2*i+3]))isNaN(r[2*i])||isNaN(r[2*i+1])?n.push(NaN,NaN):n.push(r[2*i],r[2*i+1]),n.push(NaN,NaN);else{var s=(r[2*i]+r[2*i+2])/2;n.push(r[2*i],r[2*i+1],s,r[2*i+1],s,r[2*i+3])}n.push(r[a-2],r[a-1])}else if(\\\"vhv\\\"===e.line.shape){for(n=[],i=0;i<o-1;i++)if(isNaN(r[2*i])||isNaN(r[2*i+1])||isNaN(r[2*i+2])||isNaN(r[2*i+3]))isNaN(r[2*i])||isNaN(r[2*i+1])?n.push(NaN,NaN):n.push(r[2*i],r[2*i+1]),n.push(NaN,NaN);else{var l=(r[2*i+1]+r[2*i+3])/2;n.push(r[2*i],r[2*i+1],r[2*i],l,r[2*i+2],l)}n.push(r[a-2],r[a-1])}else if(\\\"vh\\\"===e.line.shape){for(n=[],i=0;i<o-1;i++)isNaN(r[2*i])||isNaN(r[2*i+1])?n.push(NaN,NaN,NaN,NaN):(n.push(r[2*i],r[2*i+1]),isNaN(r[2*i+2])||isNaN(r[2*i+3])?n.push(NaN,NaN):n.push(r[2*i],r[2*i+3]));n.push(r[a-2],r[a-1])}else n=r;var c=!1;for(i=0;i<n.length;i++)if(isNaN(n[i])){c=!0;break}var u=c||n.length>d.TOO_MANY_POINTS||f.hasMarkers(e)?\\\"rect\\\":\\\"round\\\";if(c&&e.connectgaps){var h=n[0],p=n[1];for(i=0;i<n.length;i+=2)isNaN(n[i])||isNaN(n[i+1])?(n[i]=h,n[i+1]=p):(h=n[i],p=n[i+1])}return{join:u,positions:n}},errorBarPositions:function(t,e,r,i,a){var s=o.getComponentMethod(\\\"errorbars\\\",\\\"makeComputeError\\\"),l=c.getFromId(t,e.xaxis),u=c.getFromId(t,e.yaxis),f=r.length/2,h={};function p(t,i){var a=i._id.charAt(0),o=e[\\\"error_\\\"+a];if(o&&o.visible&&(\\\"linear\\\"===i.type||\\\"log\\\"===i.type)){for(var l=s(o),c={x:0,y:1}[a],u={x:[0,1,2,3],y:[2,3,0,1]}[a],p=new Float64Array(4*f),d=1/0,m=-1/0,g=0,v=0;g<f;g++,v+=4){var y=t[g];if(n(y)){var x=r[2*g+c],b=l(y,g),_=b[0],w=b[1];if(n(_)&&n(w)){var T=y-_,k=y+w;p[v+u[0]]=x-i.c2l(T),p[v+u[1]]=i.c2l(k)-x,p[v+u[2]]=0,p[v+u[3]]=0,d=Math.min(d,y-_),m=Math.max(m,y+w)}}}h[a]={positions:r,errors:p,_bnds:[d,m]}}}return p(i,l),p(a,u),h},textPosition:function(t,e,r,n){var i,a=e._length,o={};if(f.hasMarkers(e)){var s=r.font,l=r.align,c=r.baseline;for(o.offset=new Array(a),i=0;i<a;i++){var u=n.sizes?n.sizes[i]:n.size,h=Array.isArray(s)?s[i].size:s.size,p=Array.isArray(l)?l.length>1?l[i]:l[0]:l,d=Array.isArray(c)?c.length>1?c[i]:c[0]:c,m=g[p],v=g[d],y=u?u/.8+1:0,x=-v*y-.5*v;o.offset[i]=[m*y/h,x/h]}}return o}}},{\\\"../../components/drawing\\\":680,\\\"../../components/fx/helpers\\\":694,\\\"../../constants/interactions\\\":770,\\\"../../lib\\\":795,\\\"../../lib/gl_format_color\\\":791,\\\"../../plots/cartesian/axis_ids\\\":848,\\\"../../registry\\\":923,\\\"../scatter/make_bubble_size_func\\\":1227,\\\"../scatter/subtypes\\\":1235,\\\"./constants\\\":1264,\\\"./helpers\\\":1269,\\\"color-normalize\\\":127,\\\"fast-isnumeric\\\":241,\\\"svg-path-sdf\\\":587}],1266:[function(t,e,r){\\\"use strict\\\";var n=t(\\\"../../lib\\\"),i=t(\\\"../../registry\\\"),a=t(\\\"./helpers\\\"),o=t(\\\"./attributes\\\"),s=t(\\\"../scatter/constants\\\"),l=t(\\\"../scatter/subtypes\\\"),c=t(\\\"../scatter/xy_defaults\\\"),u=t(\\\"../scatter/period_defaults\\\"),f=t(\\\"../scatter/marker_defaults\\\"),h=t(\\\"../scatter/line_defaults\\\"),p=t(\\\"../scatter/fillcolor_defaults\\\"),d=t(\\\"../scatter/text_defaults\\\");e.exports=function(t,e,r,m){function g(r,i){return n.coerce(t,e,o,r,i)}var v=!!t.marker&&a.isOpenSymbol(t.marker.symbol),y=l.isBubble(t),x=c(t,e,m,g);if(x){u(t,e,m,g),g(\\\"xhoverformat\\\"),g(\\\"yhoverformat\\\");var b=x<s.PTS_LINESONLY?\\\"lines+markers\\\":\\\"lines\\\";g(\\\"text\\\"),g(\\\"hovertext\\\"),g(\\\"hovertemplate\\\"),g(\\\"mode\\\",b),l.hasLines(e)&&(g(\\\"connectgaps\\\"),h(t,e,r,m,g),g(\\\"line.shape\\\")),l.hasMarkers(e)&&(f(t,e,r,m,g),g(\\\"marker.line.width\\\",v||y?1:0)),l.hasText(e)&&(g(\\\"texttemplate\\\"),d(t,e,m,g));var _=(e.line||{}).color,w=(e.marker||{}).color;g(\\\"fill\\\"),\\\"none\\\"!==e.fill&&p(t,e,r,g);var T=i.getComponentMethod(\\\"errorbars\\\",\\\"supplyDefaults\\\");T(t,e,_||w||r,{axis:\\\"y\\\"}),T(t,e,_||w||r,{axis:\\\"x\\\",inherit:\\\"y\\\"}),n.coerceSelectionMarkerOpacity(e,g)}else e.visible=!1}},{\\\"../../lib\\\":795,\\\"../../registry\\\":923,\\\"../scatter/constants\\\":1214,\\\"../scatter/fillcolor_defaults\\\":1218,\\\"../scatter/line_defaults\\\":1223,\\\"../scatter/marker_defaults\\\":1229,\\\"../scatter/period_defaults\\\":1230,\\\"../scatter/subtypes\\\":1235,\\\"../scatter/text_defaults\\\":1236,\\\"../scatter/xy_defaults\\\":1237,\\\"./attributes\\\":1262,\\\"./helpers\\\":1269}],1267:[function(t,e,r){\\\"use strict\\\";var n=t(\\\"../../lib\\\"),i=t(\\\"../../components/color\\\"),a=t(\\\"../../constants/interactions\\\").DESELECTDIM;e.exports={styleTextSelection:function(t){var e,r,o=t[0],s=o.trace,l=o.t,c=l._scene,u=l.index,f=c.selectBatch[u],h=c.unselectBatch[u],p=c.textOptions[u],d=c.textSelectedOptions[u]||{},m=c.textUnselectedOptions[u]||{},g=n.extendFlat({},p);if(f.length||h.length){var v=d.color,y=m.color,x=p.color,b=Array.isArray(x);for(g.color=new Array(s._length),e=0;e<f.length;e++)r=f[e],g.color[r]=v||(b?x[r]:x);for(e=0;e<h.length;e++){r=h[e];var _=b?x[r]:x;g.color[r]=y||(v?_:i.addOpacity(_,a))}}c.glText[u].update(g)}}},{\\\"../../components/color\\\":658,\\\"../../constants/interactions\\\":770,\\\"../../lib\\\":795}],1268:[function(t,e,r){\\\"use strict\\\";var n=t(\\\"../scatter/format_labels\\\");e.exports=function(t,e,r){var i=t.i;return\\\"x\\\"in t||(t.x=e._x[i]),\\\"y\\\"in t||(t.y=e._y[i]),n(t,e,r)}},{\\\"../scatter/format_labels\\\":1219}],1269:[function(t,e,r){\\\"use strict\\\";var n=t(\\\"./constants\\\");r.isOpenSymbol=function(t){return\\\"string\\\"==typeof t?n.OPEN_RE.test(t):t%200>100},r.isDotSymbol=function(t){return\\\"string\\\"==typeof t?n.DOT_RE.test(t):t>200}},{\\\"./constants\\\":1264}],1270:[function(t,e,r){\\\"use strict\\\";var n=t(\\\"../../registry\\\"),i=t(\\\"../../lib\\\"),a=t(\\\"../scatter/get_trace_color\\\");function o(t,e,r,o){var s=t.xa,l=t.ya,c=t.distance,u=t.dxy,f=t.index,h={pointNumber:f,x:e[f],y:r[f]};h.tx=Array.isArray(o.text)?o.text[f]:o.text,h.htx=Array.isArray(o.hovertext)?o.hovertext[f]:o.hovertext,h.data=Array.isArray(o.customdata)?o.customdata[f]:o.customdata,h.tp=Array.isArray(o.textposition)?o.textposition[f]:o.textposition;var p=o.textfont;p&&(h.ts=i.isArrayOrTypedArray(p.size)?p.size[f]:p.size,h.tc=Array.isArray(p.color)?p.color[f]:p.color,h.tf=Array.isArray(p.family)?p.family[f]:p.family);var d=o.marker;d&&(h.ms=i.isArrayOrTypedArray(d.size)?d.size[f]:d.size,h.mo=i.isArrayOrTypedArray(d.opacity)?d.opacity[f]:d.opacity,h.mx=i.isArrayOrTypedArray(d.symbol)?d.symbol[f]:d.symbol,h.mc=i.isArrayOrTypedArray(d.color)?d.color[f]:d.color);var m=d&&d.line;m&&(h.mlc=Array.isArray(m.color)?m.color[f]:m.color,h.mlw=i.isArrayOrTypedArray(m.width)?m.width[f]:m.width);var g=d&&d.gradient;g&&\\\"none\\\"!==g.type&&(h.mgt=Array.isArray(g.type)?g.type[f]:g.type,h.mgc=Array.isArray(g.color)?g.color[f]:g.color);var v=s.c2p(h.x,!0),y=l.c2p(h.y,!0),x=h.mrc||1,b=o.hoverlabel;b&&(h.hbg=Array.isArray(b.bgcolor)?b.bgcolor[f]:b.bgcolor,h.hbc=Array.isArray(b.bordercolor)?b.bordercolor[f]:b.bordercolor,h.hts=i.isArrayOrTypedArray(b.font.size)?b.font.size[f]:b.font.size,h.htc=Array.isArray(b.font.color)?b.font.color[f]:b.font.color,h.htf=Array.isArray(b.font.family)?b.font.family[f]:b.font.family,h.hnl=i.isArrayOrTypedArray(b.namelength)?b.namelength[f]:b.namelength);var _=o.hoverinfo;_&&(h.hi=Array.isArray(_)?_[f]:_);var w=o.hovertemplate;w&&(h.ht=Array.isArray(w)?w[f]:w);var T={};T[t.index]=h;var k=o._origX,M=o._origY,A=i.extendFlat({},t,{color:a(o,h),x0:v-x,x1:v+x,xLabelVal:k?k[f]:h.x,y0:y-x,y1:y+x,yLabelVal:M?M[f]:h.y,cd:T,distance:c,spikeDistance:u,hovertemplate:h.ht});return h.htx?A.text=h.htx:h.tx?A.text=h.tx:o.text&&(A.text=o.text),i.fillText(h,o,A),n.getComponentMethod(\\\"errorbars\\\",\\\"hoverInfo\\\")(h,o,A),A}e.exports={hoverPoints:function(t,e,r,n){var i,a,s,l,c,u,f,h,p,d=t.cd,m=d[0].t,g=d[0].trace,v=t.xa,y=t.ya,x=m.x,b=m.y,_=v.c2p(e),w=y.c2p(r),T=t.distance;if(m.tree){var k=v.p2c(_-T),M=v.p2c(_+T),A=y.p2c(w-T),S=y.p2c(w+T);i=\\\"x\\\"===n?m.tree.range(Math.min(k,M),Math.min(y._rl[0],y._rl[1]),Math.max(k,M),Math.max(y._rl[0],y._rl[1])):m.tree.range(Math.min(k,M),Math.min(A,S),Math.max(k,M),Math.max(A,S))}else i=m.ids;var E=T;if(\\\"x\\\"===n)for(c=0;c<i.length;c++)s=x[i[c]],u=Math.abs(v.c2p(s)-_),g._origX&&void 0!==g._origX[c]&&(u+=v.c2p(g._origX[c])-v.c2p(s)),u<E&&(E=u,f=y.c2p(b[i[c]])-w,g._origY&&void 0!==g._origY[c]&&(f+=y.c2p(g._origY[c])-y.c2p(l)),p=Math.sqrt(u*u+f*f),a=i[c]);else for(c=i.length-1;c>-1;c--)s=x[i[c]],l=b[i[c]],u=v.c2p(s)-_,f=y.c2p(l)-w,(h=Math.sqrt(u*u+f*f))<E&&(E=p=h,a=i[c]);return t.index=a,t.distance=E,t.dxy=p,void 0===a?[t]:[o(t,x,b,g)]},calcHover:o}},{\\\"../../lib\\\":795,\\\"../../registry\\\":923,\\\"../scatter/get_trace_color\\\":1220}],1271:[function(t,e,r){\\\"use strict\\\";var n=t(\\\"./hover\\\");e.exports={moduleType:\\\"trace\\\",name:\\\"scattergl\\\",basePlotModule:t(\\\"../../plots/cartesian\\\"),categories:[\\\"gl\\\",\\\"regl\\\",\\\"cartesian\\\",\\\"symbols\\\",\\\"errorBarsOK\\\",\\\"showLegend\\\",\\\"scatter-like\\\"],attributes:t(\\\"./attributes\\\"),supplyDefaults:t(\\\"./defaults\\\"),crossTraceDefaults:t(\\\"../scatter/cross_trace_defaults\\\"),colorbar:t(\\\"../scatter/marker_colorbar\\\"),formatLabels:t(\\\"./format_labels\\\"),calc:t(\\\"./calc\\\"),plot:t(\\\"./plot\\\"),hoverPoints:n.hoverPoints,selectPoints:t(\\\"./select\\\"),meta:{}}},{\\\"../../plots/cartesian\\\":858,\\\"../scatter/cross_trace_defaults\\\":1216,\\\"../scatter/marker_colorbar\\\":1228,\\\"./attributes\\\":1262,\\\"./calc\\\":1263,\\\"./defaults\\\":1266,\\\"./format_labels\\\":1268,\\\"./hover\\\":1270,\\\"./plot\\\":1272,\\\"./select\\\":1274}],1272:[function(t,e,r){\\\"use strict\\\";var n=t(\\\"regl-scatter2d\\\"),i=t(\\\"regl-line2d\\\"),a=t(\\\"regl-error2d\\\"),o=t(\\\"gl-text\\\"),s=t(\\\"../../lib\\\"),l=t(\\\"../../components/dragelement/helpers\\\").selectMode,c=t(\\\"../../lib/prepare_regl\\\"),u=t(\\\"../scatter/subtypes\\\"),f=t(\\\"../scatter/link_traces\\\"),h=t(\\\"./edit_style\\\").styleTextSelection;function p(t,e,r){var n=t._size,i=t.width,a=t.height;return[n.l+e.domain[0]*n.w,n.b+r.domain[0]*n.h,i-n.r-(1-e.domain[1])*n.w,a-n.t-(1-r.domain[1])*n.h]}e.exports=function(t,e,r){if(r.length){var d,m,g=t._fullLayout,v=e._scene,y=e.xaxis,x=e.yaxis;if(v)if(c(t,[\\\"ANGLE_instanced_arrays\\\",\\\"OES_element_index_uint\\\"])){var b=v.count,_=g._glcanvas.data()[0].regl;if(f(t,e,r),v.dirty){if(!0===v.error2d&&(v.error2d=a(_)),!0===v.line2d&&(v.line2d=i(_)),!0===v.scatter2d&&(v.scatter2d=n(_,{constPointSize:!0})),!0===v.fill2d&&(v.fill2d=i(_)),!0===v.glText)for(v.glText=new Array(b),d=0;d<b;d++)v.glText[d]=new o(_);if(v.glText){if(b>v.glText.length){var w=b-v.glText.length;for(d=0;d<w;d++)v.glText.push(new o(_))}else if(b<v.glText.length){var T=v.glText.length-b;v.glText.splice(b,T).forEach((function(t){t.destroy()}))}for(d=0;d<b;d++)v.glText[d].update(v.textOptions[d])}if(v.line2d&&(v.line2d.update(v.lineOptions),v.lineOptions=v.lineOptions.map((function(t){if(t&&t.positions){for(var e=t.positions,r=0;r<e.length&&(isNaN(e[r])||isNaN(e[r+1]));)r+=2;for(var n=e.length-2;n>r&&(isNaN(e[n])||isNaN(e[n+1]));)n-=2;t.positions=e.slice(r,n+2)}return t})),v.line2d.update(v.lineOptions)),v.error2d){var k=(v.errorXOptions||[]).concat(v.errorYOptions||[]);v.error2d.update(k)}v.scatter2d&&v.scatter2d.update(v.markerOptions),v.fillOrder=s.repeat(null,b),v.fill2d&&(v.fillOptions=v.fillOptions.map((function(t,e){var n=r[e];if(t&&n&&n[0]&&n[0].trace){var i,a,o=n[0],s=o.trace,l=o.t,c=v.lineOptions[e],u=[];s._ownfill&&u.push(e),s._nexttrace&&u.push(e+1),u.length&&(v.fillOrder[e]=u);var f,h,p=[],d=c&&c.positions||l.positions;if(\\\"tozeroy\\\"===s.fill){for(f=0;f<d.length&&isNaN(d[f+1]);)f+=2;for(h=d.length-2;h>f&&isNaN(d[h+1]);)h-=2;0!==d[f+1]&&(p=[d[f],0]),p=p.concat(d.slice(f,h+2)),0!==d[h+1]&&(p=p.concat([d[h],0]))}else if(\\\"tozerox\\\"===s.fill){for(f=0;f<d.length&&isNaN(d[f]);)f+=2;for(h=d.length-2;h>f&&isNaN(d[h]);)h-=2;0!==d[f]&&(p=[0,d[f+1]]),p=p.concat(d.slice(f,h+2)),0!==d[h]&&(p=p.concat([0,d[h+1]]))}else if(\\\"toself\\\"===s.fill||\\\"tonext\\\"===s.fill){for(p=[],i=0,t.splitNull=!0,a=0;a<d.length;a+=2)(isNaN(d[a])||isNaN(d[a+1]))&&((p=p.concat(d.slice(i,a))).push(d[i],d[i+1]),p.push(null,null),i=a+2);p=p.concat(d.slice(i)),i&&p.push(d[i],d[i+1])}else{var m=s._nexttrace;if(m){var g=v.lineOptions[e+1];if(g){var y=g.positions;if(\\\"tonexty\\\"===s.fill){for(p=d.slice(),e=Math.floor(y.length/2);e--;){var x=y[2*e],b=y[2*e+1];isNaN(x)||isNaN(b)||p.push(x,b)}t.fill=m.fillcolor}}}}if(s._prevtrace&&\\\"tonext\\\"===s._prevtrace.fill){var 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v.init()}}},{\\\"../../components/dragelement/helpers\\\":676,\\\"../../lib\\\":795,\\\"../../lib/prepare_regl\\\":808,\\\"../scatter/link_traces\\\":1226,\\\"../scatter/subtypes\\\":1235,\\\"./edit_style\\\":1267,\\\"gl-text\\\":347,\\\"regl-error2d\\\":528,\\\"regl-line2d\\\":529,\\\"regl-scatter2d\\\":530}],1273:[function(t,e,r){\\\"use strict\\\";var n=t(\\\"../../lib\\\");e.exports=function(t,e){var r=e._scene,i={count:0,dirty:!0,lineOptions:[],fillOptions:[],markerOptions:[],markerSelectedOptions:[],markerUnselectedOptions:[],errorXOptions:[],errorYOptions:[],textOptions:[],textSelectedOptions:[],textUnselectedOptions:[],selectBatch:[],unselectBatch:[]},a={fill2d:!1,scatter2d:!1,error2d:!1,line2d:!1,glText:!1,select2d:!1};return e._scene||((r=e._scene={}).init=function(){n.extendFlat(r,a,i)},r.init(),r.update=function(t){var e=n.repeat(t,r.count);if(r.fill2d&&r.fill2d.update(e),r.scatter2d&&r.scatter2d.update(e),r.line2d&&r.line2d.update(e),r.error2d&&r.error2d.update(e.concat(e)),r.select2d&&r.select2d.update(e),r.glText)for(var i=0;i<r.count;i++)r.glText[i].update(t)},r.draw=function(){for(var t=r.count,e=r.fill2d,i=r.error2d,a=r.line2d,o=r.scatter2d,s=r.glText,l=r.select2d,c=r.selectBatch,u=r.unselectBatch,f=0;f<t;f++){if(e&&r.fillOrder[f]&&e.draw(r.fillOrder[f]),a&&r.lineOptions[f]&&a.draw(f),i&&(r.errorXOptions[f]&&i.draw(f),r.errorYOptions[f]&&i.draw(f+t)),o&&r.markerOptions[f])if(u[f].length){var h=n.repeat([],r.count);h[f]=u[f],o.draw(h)}else 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n=t(\\\"../../plots/template_attributes\\\").hovertemplateAttrs,i=t(\\\"../../plots/template_attributes\\\").texttemplateAttrs,a=t(\\\"../scattergeo/attributes\\\"),o=t(\\\"../scatter/attributes\\\"),s=t(\\\"../../plots/mapbox/layout_attributes\\\"),l=t(\\\"../../plots/attributes\\\"),c=t(\\\"../../components/colorscale/attributes\\\"),u=t(\\\"../../lib/extend\\\").extendFlat,f=t(\\\"../../plot_api/edit_types\\\").overrideAll,h=a.line,p=a.marker;e.exports=f({lon:a.lon,lat:a.lat,mode:u({},o.mode,{dflt:\\\"markers\\\"}),text:u({},o.text,{}),texttemplate:i({editType:\\\"plot\\\"},{keys:[\\\"lat\\\",\\\"lon\\\",\\\"text\\\"]}),hovertext:u({},o.hovertext,{}),line:{color:h.color,width:h.width},connectgaps:o.connectgaps,marker:u({symbol:{valType:\\\"string\\\",dflt:\\\"circle\\\",arrayOk:!0},angle:{valType:\\\"number\\\",dflt:\\\"auto\\\",arrayOk:!0},allowoverlap:{valType:\\\"boolean\\\",dflt:!1},opacity:p.opacity,size:p.size,sizeref:p.sizeref,sizemin:p.sizemin,sizemode:p.sizemode},c(\\\"marker\\\")),fill:a.fill,fillcolor:o.fillcolor,textfont:s.layers.symbol.textfont,textposition:s.layers.symbol.textposition,below:{valType:\\\"string\\\"},selected:{marker:o.selected.marker},unselected:{marker:o.unselected.marker},hoverinfo:u({},l.hoverinfo,{flags:[\\\"lon\\\",\\\"lat\\\",\\\"text\\\",\\\"name\\\"]}),hovertemplate:n()},\\\"calc\\\",\\\"nested\\\")},{\\\"../../components/colorscale/attributes\\\":665,\\\"../../lib/extend\\\":785,\\\"../../plot_api/edit_types\\\":827,\\\"../../plots/attributes\\\":841,\\\"../../plots/mapbox/layout_attributes\\\":905,\\\"../../plots/template_attributes\\\":918,\\\"../scatter/attributes\\\":1210,\\\"../scattergeo/attributes\\\":1252}],1276:[function(t,e,r){\\\"use strict\\\";var n=t(\\\"fast-isnumeric\\\"),i=t(\\\"../../lib\\\"),a=t(\\\"../../constants/numerical\\\").BADNUM,o=t(\\\"../../lib/geojson_utils\\\"),s=t(\\\"../../components/colorscale\\\"),l=t(\\\"../../components/drawing\\\"),c=t(\\\"../scatter/make_bubble_size_func\\\"),u=t(\\\"../scatter/subtypes\\\"),f=t(\\\"../../plots/mapbox/convert_text_opts\\\"),h=t(\\\"../../components/fx/helpers\\\").appendArrayPointValue,p=t(\\\"../../lib/svg_text_utils\\\").NEWLINES,d=t(\\\"../../lib/svg_text_utils\\\").BR_TAG_ALL;function m(){return{geojson:o.makeBlank(),layout:{visibility:\\\"none\\\"},paint:{}}}function g(t,e){return i.isArrayOrTypedArray(t)?e?function(e){return n(t[e])?+t[e]:0}:function(e){return t[e]}:t?function(){return t}:v}function v(){return\\\"\\\"}function y(t){return t[0]===a}e.exports=function(t,e){var r,a=e[0].trace,x=!0===a.visible&&0!==a._length,b=\\\"none\\\"!==a.fill,_=u.hasLines(a),w=u.hasMarkers(a),T=u.hasText(a),k=w&&\\\"circle\\\"===a.marker.symbol,M=w&&\\\"circle\\\"!==a.marker.symbol,A=m(),S=m(),E=m(),L=m(),C={fill:A,line:S,circle:E,symbol:L};if(!x)return C;if((b||_)&&(r=o.calcTraceToLineCoords(e)),b&&(A.geojson=o.makePolygon(r),A.layout.visibility=\\\"visible\\\",i.extendFlat(A.paint,{\\\"fill-color\\\":a.fillcolor})),_&&(S.geojson=o.makeLine(r),S.layout.visibility=\\\"visible\\\",i.extendFlat(S.paint,{\\\"line-width\\\":a.line.width,\\\"line-color\\\":a.line.color,\\\"line-opacity\\\":a.opacity})),k){var P=function(t){var e,r,a,o,u=t[0].trace,f=u.marker,h=u.selectedpoints,p=i.isArrayOrTypedArray(f.color),d=i.isArrayOrTypedArray(f.size),m=i.isArrayOrTypedArray(f.opacity);function g(t){return u.opacity*t}p&&(r=s.hasColorscale(u,\\\"marker\\\")?s.makeColorScaleFuncFromTrace(f):i.identity);d&&(a=c(u));m&&(o=function(t){return g(n(t)?+i.constrain(t,0,1):0)});var v,x=[];for(e=0;e<t.length;e++){var b=t[e],_=b.lonlat;if(!y(_)){var w={};r&&(w.mcc=b.mcc=r(b.mc)),a&&(w.mrc=b.mrc=a(b.ms)),o&&(w.mo=o(b.mo)),h&&(w.selected=b.selected||0),x.push({type:\\\"Feature\\\",geometry:{type:\\\"Point\\\",coordinates:_},properties:w})}}if(h)for(v=l.makeSelectedPointStyleFns(u),e=0;e<x.length;e++){var T=x[e].properties;v.selectedOpacityFn&&(T.mo=g(v.selectedOpacityFn(T))),v.selectedColorFn&&(T.mcc=v.selectedColorFn(T)),v.selectedSizeFn&&(T.mrc=v.selectedSizeFn(T))}return{geojson:{type:\\\"FeatureCollection\\\",features:x},mcc:p||v&&v.selectedColorFn?{type:\\\"identity\\\",property:\\\"mcc\\\"}:f.color,mrc:d||v&&v.selectedSizeFn?{type:\\\"identity\\\",property:\\\"mrc\\\"}:(k=f.size,k/2),mo:m||v&&v.selectedOpacityFn?{type:\\\"identity\\\",property:\\\"mo\\\"}:g(f.opacity)};var k}(e);E.geojson=P.geojson,E.layout.visibility=\\\"visible\\\",i.extendFlat(E.paint,{\\\"circle-color\\\":P.mcc,\\\"circle-radius\\\":P.mrc,\\\"circle-opacity\\\":P.mo})}if((M||T)&&(L.geojson=function(t,e){for(var r=e._fullLayout,n=t[0].trace,a=n.marker||{},o=a.symbol,s=a.angle,l=\\\"circle\\\"!==o?g(o):v,c=\\\"auto\\\"!==s?g(s,!0):v,f=u.hasText(n)?g(n.text):v,m=[],x=0;x<t.length;x++){var b=t[x];if(!y(b.lonlat)){var _,w=n.texttemplate;if(w){var T=Array.isArray(w)?w[x]||\\\"\\\":w,k=n._module.formatLabels(b,n,r),M={};h(M,n,b.i);var A=n._meta||{};_=i.texttemplateString(T,k,r._d3locale,M,b,A)}else 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I=(a.marker||{}).size,O=f(a.textposition,I);i.extendFlat(L.layout,{\\\"text-size\\\":a.textfont.size,\\\"text-anchor\\\":O.anchor,\\\"text-offset\\\":O.offset}),i.extendFlat(L.paint,{\\\"text-color\\\":a.textfont.color,\\\"text-opacity\\\":a.opacity})}return C}},{\\\"../../components/colorscale\\\":670,\\\"../../components/drawing\\\":680,\\\"../../components/fx/helpers\\\":694,\\\"../../constants/numerical\\\":771,\\\"../../lib\\\":795,\\\"../../lib/geojson_utils\\\":789,\\\"../../lib/svg_text_utils\\\":820,\\\"../../plots/mapbox/convert_text_opts\\\":902,\\\"../scatter/make_bubble_size_func\\\":1227,\\\"../scatter/subtypes\\\":1235,\\\"fast-isnumeric\\\":241}],1277:[function(t,e,r){\\\"use strict\\\";var n=t(\\\"../../lib\\\"),i=t(\\\"../scatter/subtypes\\\"),a=t(\\\"../scatter/marker_defaults\\\"),o=t(\\\"../scatter/line_defaults\\\"),s=t(\\\"../scatter/text_defaults\\\"),l=t(\\\"../scatter/fillcolor_defaults\\\"),c=t(\\\"./attributes\\\");e.exports=function(t,e,r,u){function f(r,i){return n.coerce(t,e,c,r,i)}if(function(t,e,r){var n=r(\\\"lon\\\")||[],i=r(\\\"lat\\\")||[],a=Math.min(n.length,i.length);return e._length=a,a}(0,e,f)){if(f(\\\"text\\\"),f(\\\"texttemplate\\\"),f(\\\"hovertext\\\"),f(\\\"hovertemplate\\\"),f(\\\"mode\\\"),f(\\\"below\\\"),i.hasLines(e)&&(o(t,e,r,u,f,{noDash:!0}),f(\\\"connectgaps\\\")),i.hasMarkers(e)){a(t,e,r,u,f,{noLine:!0}),f(\\\"marker.allowoverlap\\\"),f(\\\"marker.angle\\\");var h=e.marker;\\\"circle\\\"!==h.symbol&&(n.isArrayOrTypedArray(h.size)&&(h.size=h.size[0]),n.isArrayOrTypedArray(h.color)&&(h.color=h.color[0]))}i.hasText(e)&&s(t,e,u,f,{noSelect:!0}),f(\\\"fill\\\"),\\\"none\\\"!==e.fill&&l(t,e,r,f),n.coerceSelectionMarkerOpacity(e,f)}else 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n=(e.hi||t.hoverinfo).split(\\\"+\\\"),i=-1!==n.indexOf(\\\"all\\\"),a=-1!==n.indexOf(\\\"lon\\\"),s=-1!==n.indexOf(\\\"lat\\\"),l=e.lonlat,c=[];return i||a&&s?c.push(\\\"(\\\"+u(l[1])+\\\", \\\"+u(l[0])+\\\")\\\"):a?c.push(r.lon+u(l[0])):s&&c.push(r.lat+u(l[1])),(i||-1!==n.indexOf(\\\"text\\\"))&&o(e,t,c),c.join(\\\"<br>\\\")}function u(t){return t+\\\"\\\\xb0\\\"}}e.exports={hoverPoints:function(t,e,r){var o=t.cd,c=o[0].trace,u=t.xa,f=t.ya,h=t.subplot,p=360*(e>=0?Math.floor((e+180)/360):Math.ceil((e-180)/360)),d=e-p;if(n.getClosest(o,(function(t){var e=t.lonlat;if(e[0]===s)return 1/0;var n=i.modHalf(e[0],360),a=e[1],o=h.project([n,a]),l=o.x-u.c2p([d,a]),c=o.y-f.c2p([n,r]),p=Math.max(3,t.mrc||0);return Math.max(Math.sqrt(l*l+c*c)-p,1-3/p)}),t),!1!==t.index){var m=o[t.index],g=m.lonlat,v=[i.modHalf(g[0],360)+p,g[1]],y=u.c2p(v),x=f.c2p(v),b=m.mrc||1;t.x0=y-b,t.x1=y+b,t.y0=x-b,t.y1=x+b;var _={};_[c.subplot]={_subplot:h};var w=c._module.formatLabels(m,c,_);return 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v=n[u];r.xMax=Math.max(r.xMax,v),r.xMin=Math.min(r.xMin,v);var y=o[u];r.yMax=Math.max(r.yMax,y),r.yMin=Math.min(r.yMin,y);var x=l[u];r.zMax=Math.max(r.zMax,x),r.zMin=Math.min(r.zMin,x)}e._slen=c,e._normMax=f,e._xbnds=[r.xMin,r.xMax],e._ybnds=[r.yMin,r.yMax],e._zbnds=[r.zMin,r.zMax]},filter:s,processGrid:a}},{\\\"../../components/colorscale/calc\\\":666,\\\"../../lib\\\":795}],1319:[function(t,e,r){\\\"use strict\\\";var n=t(\\\"gl-streamtube3d\\\"),i=n.createTubeMesh,a=t(\\\"../../lib\\\"),o=t(\\\"../../lib/gl_format_color\\\").parseColorScale,s=t(\\\"../../components/colorscale\\\").extractOpts,l=t(\\\"../../plots/gl3d/zip3\\\"),c={xaxis:0,yaxis:1,zaxis:2};function u(t,e){this.scene=t,this.uid=e,this.mesh=null,this.data=null}var f=u.prototype;function h(t){var e=t.length;return e>2?t.slice(1,e-1):2===e?[(t[0]+t[1])/2]:t}function p(t){var e=t.length;return 1===e?[.5,.5]:[t[1]-t[0],t[e-1]-t[e-2]]}function d(t,e){var r=t.fullSceneLayout,i=t.dataScale,u=e._len,f={};function d(t,e){var 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n=t(\\\"../../lib\\\"),i=t(\\\"./layout_attributes\\\");e.exports=function(t,e){function r(r,a){return n.coerce(t,e,i,r,a)}r(\\\"sunburstcolorway\\\",e.colorway),r(\\\"extendsunburstcolors\\\")}},{\\\"../../lib\\\":795,\\\"./layout_attributes\\\":1330}],1332:[function(t,e,r){\\\"use strict\\\";var n=t(\\\"@plotly/d3\\\"),i=t(\\\"d3-hierarchy\\\"),a=t(\\\"../../components/drawing\\\"),o=t(\\\"../../lib\\\"),s=t(\\\"../../lib/svg_text_utils\\\"),l=t(\\\"../bar/uniform_text\\\"),c=l.recordMinTextSize,u=l.clearMinTextSize,f=t(\\\"../pie/plot\\\"),h=t(\\\"../pie/helpers\\\").getRotationAngle,p=f.computeTransform,d=f.transformInsideText,m=t(\\\"./style\\\").styleOne,g=t(\\\"../bar/style\\\").resizeText,v=t(\\\"./fx\\\"),y=t(\\\"./constants\\\"),x=t(\\\"./helpers\\\");function b(t,e,l,u){var 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X=x.getPtId(z);b.each((function(t){null===W&&x.getPtId(t)===X&&(W=t.x1)}))}var Z=b;function J(t){var e=t.parent,r=D[x.getPtId(e)],i={};if(r){var a=e.children,o=a.indexOf(t),s=a.length,l=n.interpolate(r.x0,r.x1);i.x0=l(o/s),i.x1=l(o/s)}else i.x0=i.x1=0;return i}g&&(Z=Z.transition().each(\\\"end\\\",(function(){var e=n.select(this);x.setSliceCursor(e,t,{hideOnRoot:!0,hideOnLeaves:!0,isTransitioning:!1})}))),Z.each((function(i){var l=n.select(this),u=o.ensureSingle(l,\\\"path\\\",\\\"surface\\\",(function(t){t.style(\\\"pointer-events\\\",\\\"all\\\")}));i.rpx0=V(i.y0),i.rpx1=V(i.y1),i.xmid=(i.x0+i.x1)/2,i.pxmid=q(i.rpx1,i.xmid),i.midangle=-(i.xmid-Math.PI/2),i.startangle=-(i.x0-Math.PI/2),i.stopangle=-(i.x1-Math.PI/2),i.halfangle=.5*Math.min(o.angleDelta(i.x0,i.x1)||Math.PI,Math.PI),i.ring=1-i.rpx0/i.rpx1,i.rInscribed=function(t){return 0===t.rpx0&&o.isFullCircle([t.x0,t.x1])?1:Math.max(0,Math.min(1/(1+1/Math.sin(t.halfangle)),t.ring/2))}(i),g?u.transition().attrTween(\\\"d\\\",(function(t){var e=function(t){var e,r=D[x.getPtId(t)],i={x0:t.x0,x1:t.x1,rpx0:t.rpx0,rpx1:t.rpx1};if(r)e=r;else if(z)if(t.parent)if(W){var a=(t.x1>W?2*Math.PI:0)+j;e={x0:a,x1:a}}else e={rpx0:P,rpx1:P},o.extendFlat(e,J(t));else e={rpx0:0,rpx1:0};else e={x0:j,x1:j};return n.interpolate(e,i)}(t);return function(t){return H(e(t))}})):u.attr(\\\"d\\\",H),l.call(v,M,t,e,{eventDataKeys:y.eventDataKeys,transitionTime:y.CLICK_TRANSITION_TIME,transitionEasing:y.CLICK_TRANSITION_EASING}).call(x.setSliceCursor,t,{hideOnRoot:!0,hideOnLeaves:!0,isTransitioning:t._transitioning}),u.call(m,i,T);var h=o.ensureSingle(l,\\\"g\\\",\\\"slicetext\\\"),b=o.ensureSingle(h,\\\"text\\\",\\\"\\\",(function(t){t.attr(\\\"data-notex\\\",1)})),_=o.ensureUniformFontSize(t,x.determineTextFont(T,i,f.font));b.text(r.formatSliceLabel(i,M,T,e,f)).classed(\\\"slicetext\\\",!0).attr(\\\"text-anchor\\\",\\\"middle\\\").call(a.font,_).call(s.convertToTspans,t);var k=a.bBox(b.node());i.transform=d(k,i,w),i.transform.targetX=G(i),i.transform.targetY=Y(i);var A=function(t,e){var r=t.transform;return p(r,e),r.fontSize=_.size,c(T.type,r,f),o.getTextTransform(r)};g?b.transition().attrTween(\\\"transform\\\",(function(t){var e=function(t){var e,r=D[x.getPtId(t)],i=t.transform;if(r)e=r;else if(e={rpx1:t.rpx1,transform:{textPosAngle:i.textPosAngle,scale:0,rotate:i.rotate,rCenter:i.rCenter,x:i.x,y:i.y}},z)if(t.parent)if(W){var a=t.x1>W?2*Math.PI:0;e.x0=e.x1=a}else o.extendFlat(e,J(t));else e.x0=e.x1=j;else e.x0=e.x1=j;var s=n.interpolate(e.transform.textPosAngle,t.transform.textPosAngle),l=n.interpolate(e.rpx1,t.rpx1),u=n.interpolate(e.x0,t.x0),h=n.interpolate(e.x1,t.x1),p=n.interpolate(e.transform.scale,i.scale),d=n.interpolate(e.transform.rotate,i.rotate),m=0===i.rCenter?3:0===e.transform.rCenter?1/3:1,g=n.interpolate(e.transform.rCenter,i.rCenter);return function(t){var e=l(t),r=u(t),n=h(t),a=function(t){return g(Math.pow(t,m))}(t),o={pxmid:q(e,(r+n)/2),rpx1:e,transform:{textPosAngle:s(t),rCenter:a,x:i.x,y:i.y}};return c(T.type,i,f),{transform:{targetX:G(o),targetY:Y(o),scale:p(t),rotate:d(t),rCenter:a}}}}(t);return function(t){return A(e(t),k)}})):b.attr(\\\"transform\\\",A(i,k))}))}function _(t){return e=t.rpx1,r=t.transform.textPosAngle,[e*Math.sin(r),-e*Math.cos(r)];var e,r}r.plot=function(t,e,r,i){var a,o,s=t._fullLayout,l=s._sunburstlayer,c=!r,f=!s.uniformtext.mode&&x.hasTransition(r);(u(\\\"sunburst\\\",s),(a=l.selectAll(\\\"g.trace.sunburst\\\").data(e,(function(t){return t[0].trace.uid}))).enter().append(\\\"g\\\").classed(\\\"trace\\\",!0).classed(\\\"sunburst\\\",!0).attr(\\\"stroke-linejoin\\\",\\\"round\\\"),a.order(),f)?(i&&(o=i()),n.transition().duration(r.duration).ease(r.easing).each(\\\"end\\\",(function(){o&&o()})).each(\\\"interrupt\\\",(function(){o&&o()})).each((function(){l.selectAll(\\\"g.trace\\\").each((function(e){b(t,e,this,r)}))}))):(a.each((function(e){b(t,e,this,r)})),s.uniformtext.mode&&g(t,s._sunburstlayer.selectAll(\\\".trace\\\"),\\\"sunburst\\\"));c&&a.exit().remove()},r.formatSliceLabel=function(t,e,r,n,i){var a=r.texttemplate,s=r.textinfo;if(!(a||s&&\\\"none\\\"!==s))return\\\"\\\";var l=i.separators,c=n[0],u=t.data.data,f=c.hierarchy,h=x.isHierarchyRoot(t),p=x.getParent(f,t),d=x.getValue(t);if(!a){var m,g=s.split(\\\"+\\\"),v=function(t){return-1!==g.indexOf(t)},y=[];if(v(\\\"label\\\")&&u.label&&y.push(u.label),u.hasOwnProperty(\\\"v\\\")&&v(\\\"value\\\")&&y.push(x.formatValue(u.v,l)),!h){v(\\\"current 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M={};u.label&&(M.label=u.label),u.hasOwnProperty(\\\"v\\\")&&(M.value=u.v,M.valueLabel=x.formatValue(u.v,l)),M.currentPath=x.getPath(t.data),h||(M.percentParent=d/x.getValue(p),M.percentParentLabel=x.formatPercent(M.percentParent,l),M.parent=x.getPtLabel(p)),M.percentEntry=d/x.getValue(e),M.percentEntryLabel=x.formatPercent(M.percentEntry,l),M.entry=x.getPtLabel(e),M.percentRoot=d/x.getValue(f),M.percentRootLabel=x.formatPercent(M.percentRoot,l),M.root=x.getPtLabel(f),u.hasOwnProperty(\\\"color\\\")&&(M.color=u.color);var A=o.castOption(r,u.i,\\\"text\\\");return(o.isValidTextValue(A)||\\\"\\\"===A)&&(M.text=A),M.customdata=o.castOption(r,u.i,\\\"customdata\\\"),o.texttemplateString(k,M,i._d3locale,M,r._meta||{})}},{\\\"../../components/drawing\\\":680,\\\"../../lib\\\":795,\\\"../../lib/svg_text_utils\\\":820,\\\"../bar/style\\\":947,\\\"../bar/uniform_text\\\":949,\\\"../pie/helpers\\\":1189,\\\"../pie/plot\\\":1193,\\\"./constants\\\":1325,\\\"./fx\\\":1327,\\\"./helpers\\\":1328,\\\"./style\\\":1333,\\\"@plotly/d3\\\":58,\\\"d3-hierarchy\\\":163}],1333:[function(t,e,r){\\\"use strict\\\";var n=t(\\\"@plotly/d3\\\"),i=t(\\\"../../components/color\\\"),a=t(\\\"../../lib\\\"),o=t(\\\"../bar/uniform_text\\\").resizeText;function s(t,e,r){var n=e.data.data,o=!e.children,s=n.i,l=a.castOption(r,s,\\\"marker.line.color\\\")||i.defaultLine,c=a.castOption(r,s,\\\"marker.line.width\\\")||0;t.style(\\\"stroke-width\\\",c).call(i.fill,n.color).call(i.stroke,l).style(\\\"opacity\\\",o?r.leaf.opacity:null)}e.exports={style:function(t){var e=t._fullLayout._sunburstlayer.selectAll(\\\".trace\\\");o(t,e,\\\"sunburst\\\"),e.each((function(t){var e=n.select(this),r=t[0].trace;e.style(\\\"opacity\\\",r.opacity),e.selectAll(\\\"path.surface\\\").each((function(t){n.select(this).call(s,t,r)}))}))},styleOne:s}},{\\\"../../components/color\\\":658,\\\"../../lib\\\":795,\\\"../bar/uniform_text\\\":949,\\\"@plotly/d3\\\":58}],1334:[function(t,e,r){\\\"use strict\\\";var n=t(\\\"../../components/color\\\"),i=t(\\\"../../components/colorscale/attributes\\\"),a=t(\\\"../../plots/hoverformat_attributes\\\"),o=t(\\\"../../plots/template_attributes\\\").hovertemplateAttrs,s=t(\\\"../../plots/attributes\\\"),l=t(\\\"../../lib/extend\\\").extendFlat,c=t(\\\"../../plot_api/edit_types\\\").overrideAll;function u(t){return{show:{valType:\\\"boolean\\\",dflt:!1},start:{valType:\\\"number\\\",dflt:null,editType:\\\"plot\\\"},end:{valType:\\\"number\\\",dflt:null,editType:\\\"plot\\\"},size:{valType:\\\"number\\\",dflt:null,min:0,editType:\\\"plot\\\"},project:{x:{valType:\\\"boolean\\\",dflt:!1},y:{valType:\\\"boolean\\\",dflt:!1},z:{valType:\\\"boolean\\\",dflt:!1}},color:{valType:\\\"color\\\",dflt:n.defaultLine},usecolormap:{valType:\\\"boolean\\\",dflt:!1},width:{valType:\\\"number\\\",min:1,max:16,dflt:2},highlight:{valType:\\\"boolean\\\",dflt:!0},highlightcolor:{valType:\\\"color\\\",dflt:n.defaultLine},highlightwidth:{valType:\\\"number\\\",min:1,max:16,dflt:2}}}var f=e.exports=c(l({z:{valType:\\\"data_array\\\"},x:{valType:\\\"data_array\\\"},y:{valType:\\\"data_array\\\"},text:{valType:\\\"string\\\",dflt:\\\"\\\",arrayOk:!0},hovertext:{valType:\\\"string\\\",dflt:\\\"\\\",arrayOk:!0},hovertemplate:o(),xhoverformat:a(\\\"x\\\"),yhoverformat:a(\\\"y\\\"),zhoverformat:a(\\\"z\\\"),connectgaps:{valType:\\\"boolean\\\",dflt:!1,editType:\\\"calc\\\"},surfacecolor:{valType:\\\"data_array\\\"}},i(\\\"\\\",{colorAttr:\\\"z or 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0},{\\\"../../components/color\\\":658,\\\"../../components/colorscale/attributes\\\":665,\\\"../../lib/extend\\\":785,\\\"../../plot_api/edit_types\\\":827,\\\"../../plots/attributes\\\":841,\\\"../../plots/hoverformat_attributes\\\":899,\\\"../../plots/template_attributes\\\":918}],1335:[function(t,e,r){\\\"use strict\\\";var n=t(\\\"../../components/colorscale/calc\\\");e.exports=function(t,e){e.surfacecolor?n(t,e,{vals:e.surfacecolor,containerStr:\\\"\\\",cLetter:\\\"c\\\"}):n(t,e,{vals:e.z,containerStr:\\\"\\\",cLetter:\\\"c\\\"})}},{\\\"../../components/colorscale/calc\\\":666}],1336:[function(t,e,r){\\\"use strict\\\";var n=t(\\\"gl-surface3d\\\"),i=t(\\\"ndarray\\\"),a=t(\\\"ndarray-linear-interpolate\\\").d2,o=t(\\\"../heatmap/interp2d\\\"),s=t(\\\"../heatmap/find_empties\\\"),l=t(\\\"../../lib\\\").isArrayOrTypedArray,c=t(\\\"../../lib/gl_format_color\\\").parseColorScale,u=t(\\\"../../lib/str2rgbarray\\\"),f=t(\\\"../../components/colorscale\\\").extractOpts;function h(t,e,r){this.scene=t,this.uid=r,this.surface=e,this.data=null,this.showContour=[!1,!1,!1],this.contourStart=[null,null,null],this.contourEnd=[null,null,null],this.contourSize=[0,0,0],this.minValues=[1/0,1/0,1/0],this.maxValues=[-1/0,-1/0,-1/0],this.dataScaleX=1,this.dataScaleY=1,this.refineData=!0,this.objectOffset=[0,0,0]}var p=h.prototype;p.getXat=function(t,e,r,n){var i=l(this.data.x)?l(this.data.x[0])?this.data.x[e][t]:this.data.x[t]:t;return void 0===r?i:n.d2l(i,0,r)},p.getYat=function(t,e,r,n){var i=l(this.data.y)?l(this.data.y[0])?this.data.y[e][t]:this.data.y[e]:e;return void 0===r?i:n.d2l(i,0,r)},p.getZat=function(t,e,r,n){var i=this.data.z[e][t];return null===i&&this.data.connectgaps&&this.data._interpolatedZ&&(i=this.data._interpolatedZ[e][t]),void 0===r?i:n.d2l(i,0,r)},p.handlePick=function(t){if(t.object===this.surface){var e=(t.data.index[0]-1)/this.dataScaleX-1,r=(t.data.index[1]-1)/this.dataScaleY-1,n=Math.max(Math.min(Math.round(e),this.data.z[0].length-1),0),i=Math.max(Math.min(Math.round(r),this.data._ylength-1),0);t.index=[n,i],t.traceCoordinate=[this.getXat(n,i),this.getYat(n,i),this.getZat(n,i)],t.dataCoordinate=[this.getXat(n,i,this.data.xcalendar,this.scene.fullSceneLayout.xaxis),this.getYat(n,i,this.data.ycalendar,this.scene.fullSceneLayout.yaxis),this.getZat(n,i,this.data.zcalendar,this.scene.fullSceneLayout.zaxis)];for(var a=0;a<3;a++){var o=t.dataCoordinate[a];null!=o&&(t.dataCoordinate[a]*=this.scene.dataScale[a])}var s=this.data.hovertext||this.data.text;return Array.isArray(s)&&s[i]&&void 0!==s[i][n]?t.textLabel=s[i][n]:t.textLabel=s||\\\"\\\",t.data.dataCoordinate=t.dataCoordinate.slice(),this.surface.highlight(t.data),this.scene.glplot.spikes.position=t.dataCoordinate,!0}};var d=[2,3,5,7,11,13,17,19,23,29,31,37,41,43,47,53,59,61,67,71,73,79,83,89,97,101,103,107,109,113,127,131,137,139,149,151,157,163,167,173,179,181,191,193,197,199,211,223,227,229,233,239,241,251,257,263,269,271,277,281,283,293,307,311,313,317,331,337,347,349,353,359,367,373,379,383,389,397,401,409,419,421,431,433,439,443,449,457,461,463,467,479,487,491,499,503,509,521,523,541,547,557,563,569,571,577,587,593,599,601,607,613,617,619,631,641,643,647,653,659,661,673,677,683,691,701,709,719,727,733,739,743,751,757,761,769,773,787,797,809,811,821,823,827,829,839,853,857,859,863,877,881,883,887,907,911,919,929,937,941,947,953,967,971,977,983,991,997,1009,1013,1019,1021,1031,1033,1039,1049,1051,1061,1063,1069,1087,1091,1093,1097,1103,1109,1117,1123,1129,1151,1153,1163,1171,1181,1187,1193,1201,1213,1217,1223,1229,1231,1237,1249,1259,1277,1279,1283,1289,1291,1297,1301,1303,1307,1319,1321,1327,1361,1367,1373,1381,1399,1409,1423,1427,1429,1433,1439,1447,1451,1453,1459,1471,1481,1483,1487,1489,1493,1499,1511,1523,1531,1543,1549,1553,1559,1567,1571,1579,1583,1597,1601,1607,1609,1613,1619,1621,1627,1637,1657,1663,1667,1669,1693,1697,1699,1709,1721,1723,1733,1741,1747,1753,1759,1777,1783,1787,1789,1801,1811,1823,1831,1847,1861,1867,1871,1873,1877,1879,1889,1901,1907,1913,1931,1933,1949,1951,1973,1979,1987,1993,1997,1999,2003,2011,2017,2027,2029,2039,2053,2063,2069,2081,2083,2087,2089,2099,2111,2113,2129,2131,2137,2141,2143,2153,2161,2179,2203,2207,2213,2221,2237,2239,2243,2251,2267,2269,2273,2281,2287,2293,2297,2309,2311,2333,2339,2341,2347,2351,2357,2371,2377,2381,2383,2389,2393,2399,2411,2417,2423,2437,2441,2447,2459,2467,2473,2477,2503,2521,2531,2539,2543,2549,2551,2557,2579,2591,2593,2609,2617,2621,2633,2647,2657,2659,2663,2671,2677,2683,2687,2689,2693,2699,2707,2711,2713,2719,2729,2731,2741,2749,2753,2767,2777,2789,2791,2797,2801,2803,2819,2833,2837,2843,2851,2857,2861,2879,2887,2897,2903,2909,2917,2927,2939,2953,2957,2963,2969,2971,2999];function m(t,e){if(t<e)return 0;for(var r=0;0===Math.floor(t%e);)t/=e,r++;return r}function g(t){for(var e=[],r=0;r<d.length;r++){var n=d[r];e.push(m(t,n))}return e}function v(t){for(var e=g(t),r=t,n=0;n<d.length;n++)if(e[n]>0){r=d[n];break}return r}function y(t,e){if(!(t<1||e<1)){for(var r=g(t),n=g(e),i=1,a=0;a<d.length;a++)i*=Math.pow(d[a],Math.max(r[a],n[a]));return i}}p.calcXnums=function(t){var e,r=[];for(e=1;e<t;e++){var n=this.getXat(e-1,0),i=this.getXat(e,0);r[e-1]=i!==n&&null!=n&&null!=i?Math.abs(i-n):0}var a=0;for(e=1;e<t;e++)a+=r[e-1];for(e=1;e<t;e++)0===r[e-1]?r[e-1]=1:r[e-1]=Math.round(a/r[e-1]);return r},p.calcYnums=function(t){var e,r=[];for(e=1;e<t;e++){var n=this.getYat(0,e-1),i=this.getYat(0,e);r[e-1]=i!==n&&null!=n&&null!=i?Math.abs(i-n):0}var a=0;for(e=1;e<t;e++)a+=r[e-1];for(e=1;e<t;e++)0===r[e-1]?r[e-1]=1:r[e-1]=Math.round(a/r[e-1]);return r};var x=[1,2,4,6,12,24,36,48,60,120,180,240,360,720,840,1260],b=x[9],_=x[13];function w(t,e,r){var n=r[8]+r[2]*e[0]+r[5]*e[1];return t[0]=(r[6]+r[0]*e[0]+r[3]*e[1])/n,t[1]=(r[7]+r[1]*e[0]+r[4]*e[1])/n,t}function T(t,e,r){return function(t,e,r,n){for(var i=[0,0],o=t.shape[0],s=t.shape[1],l=0;l<o;l++)for(var c=0;c<s;c++)r(i,[l,c],n),t.set(l,c,a(e,i[0],i[1]))}(t,e,w,r),t}function k(t,e){for(var r=!1,n=0;n<t.length;n++)if(e===t[n]){r=!0;break}!1===r&&t.push(e)}p.estimateScale=function(t,e){for(var r=1+function(t){if(0!==t.length){for(var e=1,r=0;r<t.length;r++)e=y(e,t[r]);return e}}(0===e?this.calcXnums(t):this.calcYnums(t));r<b;)r*=2;for(;r>_;)r--,r/=v(r),++r<b&&(r=_);var n=Math.round(r/t);return n>1?n:1},p.refineCoords=function(t){for(var e=this.dataScaleX,r=this.dataScaleY,n=t[0].shape[0],a=t[0].shape[1],o=0|Math.floor(t[0].shape[0]*e+1),s=0|Math.floor(t[0].shape[1]*r+1),l=1+n+1,c=1+a+1,u=i(new Float32Array(l*c),[l,c]),f=[1/e,0,0,0,1/r,0,0,0,1],h=0;h<t.length;++h){this.surface.padField(u,t[h]);var p=i(new Float32Array(o*s),[o,s]);T(p,u,f),t[h]=p}},p.setContourLevels=function(){var t,e,r,n=[[],[],[]],i=[!1,!1,!1],a=!1;for(t=0;t<3;++t)if(this.showContour[t]&&(a=!0,this.contourSize[t]>0&&null!==this.contourStart[t]&&null!==this.contourEnd[t]&&this.contourEnd[t]>this.contourStart[t]))for(i[t]=!0,e=this.contourStart[t];e<this.contourEnd[t];e+=this.contourSize[t])r=e*this.scene.dataScale[t],k(n[t],r);if(a){var o=[[],[],[]];for(t=0;t<3;++t)this.showContour[t]&&(o[t]=i[t]?n[t]:this.scene.contourLevels[t]);this.surface.update({levels:o})}},p.update=function(t){var e,r,n,a,l=this.scene,h=l.fullSceneLayout,p=this.surface,d=c(t),m=l.dataScale,g=t.z[0].length,v=t._ylength,y=l.contourLevels;this.data=t;var x=[];for(e=0;e<3;e++)for(x[e]=[],r=0;r<g;r++)x[e][r]=[];for(r=0;r<g;r++)for(n=0;n<v;n++)x[0][r][n]=this.getXat(r,n,t.xcalendar,h.xaxis),x[1][r][n]=this.getYat(r,n,t.ycalendar,h.yaxis),x[2][r][n]=this.getZat(r,n,t.zcalendar,h.zaxis);if(t.connectgaps)for(t._emptypoints=s(x[2]),o(x[2],t._emptypoints),t._interpolatedZ=[],r=0;r<g;r++)for(t._interpolatedZ[r]=[],n=0;n<v;n++)t._interpolatedZ[r][n]=x[2][r][n];for(e=0;e<3;e++)for(r=0;r<g;r++)for(n=0;n<v;n++)null==(a=x[e][r][n])?x[e][r][n]=NaN:a=x[e][r][n]*=m[e];for(e=0;e<3;e++)for(r=0;r<g;r++)for(n=0;n<v;n++)null!=(a=x[e][r][n])&&(this.minValues[e]>a&&(this.minValues[e]=a),this.maxValues[e]<a&&(this.maxValues[e]=a));for(e=0;e<3;e++)this.objectOffset[e]=.5*(this.minValues[e]+this.maxValues[e]);for(e=0;e<3;e++)for(r=0;r<g;r++)for(n=0;n<v;n++)null!=(a=x[e][r][n])&&(x[e][r][n]-=this.objectOffset[e]);var b=[i(new Float32Array(g*v),[g,v]),i(new Float32Array(g*v),[g,v]),i(new Float32Array(g*v),[g,v])];for(e=0;e<3;e++)for(r=0;r<g;r++)for(n=0;n<v;n++)b[e].set(r,n,x[e][r][n]);x=[];var w={colormap:d,levels:[[],[],[]],showContour:[!0,!0,!0],showSurface:!t.hidesurface,contourProject:[[!1,!1,!1],[!1,!1,!1],[!1,!1,!1]],contourWidth:[1,1,1],contourColor:[[1,1,1,1],[1,1,1,1],[1,1,1,1]],contourTint:[1,1,1],dynamicColor:[[1,1,1,1],[1,1,1,1],[1,1,1,1]],dynamicWidth:[1,1,1],dynamicTint:[1,1,1],opacityscale:t.opacityscale,opacity:t.opacity},T=f(t);if(w.intensityBounds=[T.min,T.max],t.surfacecolor){var k=i(new Float32Array(g*v),[g,v]);for(r=0;r<g;r++)for(n=0;n<v;n++)k.set(r,n,t.surfacecolor[n][r]);b.push(k)}else w.intensityBounds[0]*=m[2],w.intensityBounds[1]*=m[2];(_<b[0].shape[0]||_<b[0].shape[1])&&(this.refineData=!1),!0===this.refineData&&(this.dataScaleX=this.estimateScale(b[0].shape[0],0),this.dataScaleY=this.estimateScale(b[0].shape[1],1),1===this.dataScaleX&&1===this.dataScaleY||this.refineCoords(b)),t.surfacecolor&&(w.intensity=b.pop());var M=[!0,!0,!0],A=[\\\"x\\\",\\\"y\\\",\\\"z\\\"];for(e=0;e<3;++e){var S=t.contours[A[e]];M[e]=S.highlight,w.showContour[e]=S.show||S.highlight,w.showContour[e]&&(w.contourProject[e]=[S.project.x,S.project.y,S.project.z],S.show?(this.showContour[e]=!0,w.levels[e]=y[e],p.highlightColor[e]=w.contourColor[e]=u(S.color),S.usecolormap?p.highlightTint[e]=w.contourTint[e]=0:p.highlightTint[e]=w.contourTint[e]=1,w.contourWidth[e]=S.width,this.contourStart[e]=S.start,this.contourEnd[e]=S.end,this.contourSize[e]=S.size):(this.showContour[e]=!1,this.contourStart[e]=null,this.contourEnd[e]=null,this.contourSize[e]=0),S.highlight&&(w.dynamicColor[e]=u(S.highlightcolor),w.dynamicWidth[e]=S.highlightwidth))}(function(t){var e=t[0].rgb,r=t[t.length-1].rgb;return e[0]===r[0]&&e[1]===r[1]&&e[2]===r[2]&&e[3]===r[3]})(d)&&(w.vertexColor=!0),w.objectOffset=this.objectOffset,w.coords=b,p.update(w),p.visible=t.visible,p.enableDynamic=M,p.enableHighlight=M,p.snapToData=!0,\\\"lighting\\\"in t&&(p.ambientLight=t.lighting.ambient,p.diffuseLight=t.lighting.diffuse,p.specularLight=t.lighting.specular,p.roughness=t.lighting.roughness,p.fresnel=t.lighting.fresnel),\\\"lightposition\\\"in t&&(p.lightPosition=[t.lightposition.x,t.lightposition.y,t.lightposition.z])},p.dispose=function(){this.scene.glplot.remove(this.surface),this.surface.dispose()},e.exports=function(t,e){var r=t.glplot.gl,i=n({gl:r}),a=new h(t,i,e.uid);return i._trace=a,a.update(e),t.glplot.add(i),a}},{\\\"../../components/colorscale\\\":670,\\\"../../lib\\\":795,\\\"../../lib/gl_format_color\\\":791,\\\"../../lib/str2rgbarray\\\":819,\\\"../heatmap/find_empties\\\":1083,\\\"../heatmap/interp2d\\\":1086,\\\"gl-surface3d\\\":346,ndarray:475,\\\"ndarray-linear-interpolate\\\":469}],1337:[function(t,e,r){\\\"use strict\\\";var n=t(\\\"../../registry\\\"),i=t(\\\"../../lib\\\"),a=t(\\\"../../components/colorscale/defaults\\\"),o=t(\\\"./attributes\\\");function s(t,e,r,n){var i=n(\\\"opacityscale\\\");\\\"max\\\"===i?e.opacityscale=[[0,.1],[1,1]]:\\\"min\\\"===i?e.opacityscale=[[0,1],[1,.1]]:\\\"extremes\\\"===i?e.opacityscale=function(t,e){for(var r=[],n=0;n<32;n++){var i=n/31,a=e+(1-e)*(1-Math.pow(Math.sin(t*i*Math.PI),2));r.push([i,Math.max(0,Math.min(1,a))])}return r}(1,.1):function(t){var e=0;if(!Array.isArray(t)||t.length<2)return!1;if(!t[0]||!t[t.length-1])return!1;if(0!=+t[0][0]||1!=+t[t.length-1][0])return!1;for(var r=0;r<t.length;r++){var n=t[r];if(2!==n.length||+n[0]<e)return!1;e=+n[0]}return!0}(i)||(e.opacityscale=void 0)}function l(t,e,r){e in t&&!(r in t)&&(t[r]=t[e])}e.exports={supplyDefaults:function(t,e,r,c){var u,f;function h(r,n){return i.coerce(t,e,o,r,n)}var p=h(\\\"x\\\"),d=h(\\\"y\\\"),m=h(\\\"z\\\");if(!m||!m.length||p&&p.length<1||d&&d.length<1)e.visible=!1;else{e._xlength=Array.isArray(p)&&i.isArrayOrTypedArray(p[0])?m.length:m[0].length,e._ylength=m.length,n.getComponentMethod(\\\"calendars\\\",\\\"handleTraceDefaults\\\")(t,e,[\\\"x\\\",\\\"y\\\",\\\"z\\\"],c),h(\\\"text\\\"),h(\\\"hovertext\\\"),h(\\\"hovertemplate\\\"),h(\\\"xhoverformat\\\"),h(\\\"yhoverformat\\\"),h(\\\"zhoverformat\\\"),[\\\"lighting.ambient\\\",\\\"lighting.diffuse\\\",\\\"lighting.specular\\\",\\\"lighting.roughness\\\",\\\"lighting.fresnel\\\",\\\"lightposition.x\\\",\\\"lightposition.y\\\",\\\"lightposition.z\\\",\\\"hidesurface\\\",\\\"connectgaps\\\",\\\"opacity\\\"].forEach((function(t){h(t)}));var g=h(\\\"surfacecolor\\\"),v=[\\\"x\\\",\\\"y\\\",\\\"z\\\"];for(u=0;u<3;++u){var y=\\\"contours.\\\"+v[u],x=h(y+\\\".show\\\"),b=h(y+\\\".highlight\\\");if(x||b)for(f=0;f<3;++f)h(y+\\\".project.\\\"+v[f]);x&&(h(y+\\\".color\\\"),h(y+\\\".width\\\"),h(y+\\\".usecolormap\\\")),b&&(h(y+\\\".highlightcolor\\\"),h(y+\\\".highlightwidth\\\")),h(y+\\\".start\\\"),h(y+\\\".end\\\"),h(y+\\\".size\\\")}g||(l(t,\\\"zmin\\\",\\\"cmin\\\"),l(t,\\\"zmax\\\",\\\"cmax\\\"),l(t,\\\"zauto\\\",\\\"cauto\\\")),a(t,e,c,h,{prefix:\\\"\\\",cLetter:\\\"c\\\"}),s(t,e,c,h),e._length=null}},opacityscaleDefaults:s}},{\\\"../../components/colorscale/defaults\\\":668,\\\"../../lib\\\":795,\\\"../../registry\\\":923,\\\"./attributes\\\":1334}],1338:[function(t,e,r){\\\"use strict\\\";e.exports={attributes:t(\\\"./attributes\\\"),supplyDefaults:t(\\\"./defaults\\\").supplyDefaults,colorbar:{min:\\\"cmin\\\",max:\\\"cmax\\\"},calc:t(\\\"./calc\\\"),plot:t(\\\"./convert\\\"),moduleType:\\\"trace\\\",name:\\\"surface\\\",basePlotModule:t(\\\"../../plots/gl3d\\\"),categories:[\\\"gl3d\\\",\\\"2dMap\\\",\\\"showLegend\\\"],meta:{}}},{\\\"../../plots/gl3d\\\":887,\\\"./attributes\\\":1334,\\\"./calc\\\":1335,\\\"./convert\\\":1336,\\\"./defaults\\\":1337}],1339:[function(t,e,r){\\\"use strict\\\";var n=t(\\\"../../components/annotations/attributes\\\"),i=t(\\\"../../lib/extend\\\").extendFlat,a=t(\\\"../../plot_api/edit_types\\\").overrideAll,o=t(\\\"../../plots/font_attributes\\\"),s=t(\\\"../../plots/domain\\\").attributes;t(\\\"../../constants/docs\\\").FORMAT_LINK;(e.exports=a({domain:s({name:\\\"table\\\",trace:!0}),columnwidth:{valType:\\\"number\\\",arrayOk:!0,dflt:null},columnorder:{valType:\\\"data_array\\\"},header:{values:{valType:\\\"data_array\\\",dflt:[]},format:{valType:\\\"data_array\\\",dflt:[]},prefix:{valType:\\\"string\\\",arrayOk:!0,dflt:null},suffix:{valType:\\\"string\\\",arrayOk:!0,dflt:null},height:{valType:\\\"number\\\",dflt:28},align:i({},n.align,{arrayOk:!0}),line:{width:{valType:\\\"number\\\",arrayOk:!0,dflt:1},color:{valType:\\\"color\\\",arrayOk:!0,dflt:\\\"grey\\\"}},fill:{color:{valType:\\\"color\\\",arrayOk:!0,dflt:\\\"white\\\"}},font:i({},o({arrayOk:!0}))},cells:{values:{valType:\\\"data_array\\\",dflt:[]},format:{valType:\\\"data_array\\\",dflt:[]},prefix:{valType:\\\"string\\\",arrayOk:!0,dflt:null},suffix:{valType:\\\"string\\\",arrayOk:!0,dflt:null},height:{valType:\\\"number\\\",dflt:20},align:i({},n.align,{arrayOk:!0}),line:{width:{valType:\\\"number\\\",arrayOk:!0,dflt:1},color:{valType:\\\"color\\\",arrayOk:!0,dflt:\\\"grey\\\"}},fill:{color:{valType:\\\"color\\\",arrayOk:!0,dflt:\\\"white\\\"}},font:i({},o({arrayOk:!0}))}},\\\"calc\\\",\\\"from-root\\\")).transforms=void 0},{\\\"../../components/annotations/attributes\\\":641,\\\"../../constants/docs\\\":766,\\\"../../lib/extend\\\":785,\\\"../../plot_api/edit_types\\\":827,\\\"../../plots/domain\\\":872,\\\"../../plots/font_attributes\\\":873}],1340:[function(t,e,r){\\\"use strict\\\";var n=t(\\\"../../plots/get_data\\\").getModuleCalcData,i=t(\\\"./plot\\\");r.name=\\\"table\\\",r.plot=function(t){var e=n(t.calcdata,\\\"table\\\")[0];e.length&&i(t,e)},r.clean=function(t,e,r,n){var i=n._has&&n._has(\\\"table\\\"),a=e._has&&e._has(\\\"table\\\");i&&!a&&n._paperdiv.selectAll(\\\".table\\\").remove()}},{\\\"../../plots/get_data\\\":882,\\\"./plot\\\":1347}],1341:[function(t,e,r){\\\"use strict\\\";var n=t(\\\"../../lib/gup\\\").wrap;e.exports=function(){return n({})}},{\\\"../../lib/gup\\\":792}],1342:[function(t,e,r){\\\"use strict\\\";e.exports={cellPad:8,columnExtentOffset:10,columnTitleOffset:28,emptyHeaderHeight:16,latexCheck:/^\\\\$.*\\\\$$/,goldenRatio:1.618,lineBreaker:\\\"<br>\\\",maxDimensionCount:60,overdrag:45,releaseTransitionDuration:120,releaseTransitionEase:\\\"cubic-out\\\",scrollbarCaptureWidth:18,scrollbarHideDelay:1e3,scrollbarHideDuration:1e3,scrollbarOffset:5,scrollbarWidth:8,transitionDuration:100,transitionEase:\\\"cubic-out\\\",uplift:5,wrapSpacer:\\\" \\\",wrapSplitCharacter:\\\" \\\",cn:{table:\\\"table\\\",tableControlView:\\\"table-control-view\\\",scrollBackground:\\\"scroll-background\\\",yColumn:\\\"y-column\\\",columnBlock:\\\"column-block\\\",scrollAreaClip:\\\"scroll-area-clip\\\",scrollAreaClipRect:\\\"scroll-area-clip-rect\\\",columnBoundary:\\\"column-boundary\\\",columnBoundaryClippath:\\\"column-boundary-clippath\\\",columnBoundaryRect:\\\"column-boundary-rect\\\",columnCells:\\\"column-cells\\\",columnCell:\\\"column-cell\\\",cellRect:\\\"cell-rect\\\",cellText:\\\"cell-text\\\",cellTextHolder:\\\"cell-text-holder\\\",scrollbarKit:\\\"scrollbar-kit\\\",scrollbar:\\\"scrollbar\\\",scrollbarSlider:\\\"scrollbar-slider\\\",scrollbarGlyph:\\\"scrollbar-glyph\\\",scrollbarCaptureZone:\\\"scrollbar-capture-zone\\\"}}},{}],1343:[function(t,e,r){\\\"use strict\\\";var n=t(\\\"./constants\\\"),i=t(\\\"../../lib/extend\\\").extendFlat,a=t(\\\"fast-isnumeric\\\");function o(t){if(Array.isArray(t)){for(var e=0,r=0;r<t.length;r++)e=Math.max(e,o(t[r]));return e}return t}function s(t,e){return t+e}function l(t){var e,r=t.slice(),n=1/0,i=0;for(e=0;e<r.length;e++)Array.isArray(r[e])||(r[e]=[r[e]]),n=Math.min(n,r[e].length),i=Math.max(i,r[e].length);if(n!==i)for(e=0;e<r.length;e++){var a=i-r[e].length;a&&(r[e]=r[e].concat(c(a)))}return r}function c(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=\\\"\\\";return e}function u(t){return t.calcdata.columns.reduce((function(e,r){return r.xIndex<t.xIndex?e+r.columnWidth:e}),0)}function f(t,e){return Object.keys(t).map((function(r){return i({},t[r],{auxiliaryBlocks:e})}))}function h(t,e){for(var r,n={},i=0,a=0,o={firstRowIndex:null,lastRowIndex:null,rows:[]},s=0,l=0,c=0;c<t.length;c++)r=t[c],o.rows.push({rowIndex:c,rowHeight:r}),((a+=r)>=e||c===t.length-1)&&(n[i]=o,o.key=l++,o.firstRowIndex=s,o.lastRowIndex=c,o={firstRowIndex:null,lastRowIndex:null,rows:[]},i+=a,s=c+1,a=0);return n}e.exports=function(t,e){var r=l(e.cells.values),p=function(t){return 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L=Math.max(o(e.header.line.width),o(e.cells.line.width)),C={key:e.uid+t._context.staticPlot,translateX:g.x[0]*t._fullLayout._size.w,translateY:t._fullLayout._size.h*(1-g.y[1]),size:t._fullLayout._size,width:v,maxLineWidth:L,height:y,columnOrder:A,groupHeight:y,rowBlocks:k,headerRowBlocks:T,scrollY:0,cells:i({},e.cells,{values:r}),headerCells:i({},e.header,{values:m}),gdColumns:m.map((function(t){return t[0]})),gdColumnsOriginalOrder:m.map((function(t){return t[0]})),prevPages:[0,0],scrollbarState:{scrollbarScrollInProgress:!1},columns:m.map((function(t,e){var r=M[t];return M[t]=(r||0)+1,{key:t+\\\"__\\\"+M[t],label:t,specIndex:e,xIndex:A[e],xScale:u,x:void 0,calcdata:void 0,columnWidth:S[e]}}))};return C.columns.forEach((function(t){t.calcdata=C,t.x=u(t)})),C}},{\\\"../../lib/extend\\\":785,\\\"./constants\\\":1342,\\\"fast-isnumeric\\\":241}],1344:[function(t,e,r){\\\"use strict\\\";var n=t(\\\"../../lib/extend\\\").extendFlat;r.splitToPanels=function(t){var e=[0,0],r=n({},t,{key:\\\"header\\\",type:\\\"header\\\",page:0,prevPages:e,currentRepaint:[null,null],dragHandle:!0,values:t.calcdata.headerCells.values[t.specIndex],rowBlocks:t.calcdata.headerRowBlocks,calcdata:n({},t.calcdata,{cells:t.calcdata.headerCells})});return[n({},t,{key:\\\"cells1\\\",type:\\\"cells\\\",page:0,prevPages:e,currentRepaint:[null,null],dragHandle:!1,values:t.calcdata.cells.values[t.specIndex],rowBlocks:t.calcdata.rowBlocks}),n({},t,{key:\\\"cells2\\\",type:\\\"cells\\\",page:1,prevPages:e,currentRepaint:[null,null],dragHandle:!1,values:t.calcdata.cells.values[t.specIndex],rowBlocks:t.calcdata.rowBlocks}),r]},r.splitToCells=function(t){var e=function(t){var e=t.rowBlocks[t.page],r=e?e.rows[0].rowIndex:0,n=e?r+e.rows.length:0;return[r,n]}(t);return(t.values||[]).slice(e[0],e[1]).map((function(r,n){return{keyWithinBlock:n+(\\\"string\\\"==typeof r&&r.match(/[<$&> 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a.indexOf(t)})),s=o.length;s<n;s++)o.push(s);e(\\\"columnorder\\\",o)}(e,s),s(\\\"cells.values\\\"),s(\\\"cells.format\\\"),s(\\\"cells.align\\\"),s(\\\"cells.prefix\\\"),s(\\\"cells.suffix\\\"),s(\\\"cells.height\\\"),s(\\\"cells.line.width\\\"),s(\\\"cells.line.color\\\"),s(\\\"cells.fill.color\\\"),n.coerceFont(s,\\\"cells.font\\\",n.extendFlat({},o.font)),e._length=null}},{\\\"../../lib\\\":795,\\\"../../plots/domain\\\":872,\\\"./attributes\\\":1339}],1346:[function(t,e,r){\\\"use strict\\\";e.exports={attributes:t(\\\"./attributes\\\"),supplyDefaults:t(\\\"./defaults\\\"),calc:t(\\\"./calc\\\"),plot:t(\\\"./plot\\\"),moduleType:\\\"trace\\\",name:\\\"table\\\",basePlotModule:t(\\\"./base_plot\\\"),categories:[\\\"noOpacity\\\"],meta:{}}},{\\\"./attributes\\\":1339,\\\"./base_plot\\\":1340,\\\"./calc\\\":1341,\\\"./defaults\\\":1345,\\\"./plot\\\":1347}],1347:[function(t,e,r){\\\"use strict\\\";var n=t(\\\"./constants\\\"),i=t(\\\"@plotly/d3\\\"),a=t(\\\"../../lib/gup\\\"),o=t(\\\"../../components/drawing\\\"),s=t(\\\"../../lib/svg_text_utils\\\"),l=t(\\\"../../lib\\\").raiseToTop,c=t(\\\"../../lib\\\").strTranslate,u=t(\\\"../../lib\\\").cancelTransition,f=t(\\\"./data_preparation_helper\\\"),h=t(\\\"./data_split_helpers\\\"),p=t(\\\"../../components/color\\\");function d(t){return Math.ceil(t.calcdata.maxLineWidth/2)}function m(t,e){return\\\"clip\\\"+t._fullLayout._uid+\\\"_scrollAreaBottomClip_\\\"+e.key}function g(t,e){return\\\"clip\\\"+t._fullLayout._uid+\\\"_columnBoundaryClippath_\\\"+e.calcdata.key+\\\"_\\\"+e.specIndex}function v(t){return[].concat.apply([],t.map((function(t){return t}))).map((function(t){return t.__data__}))}function y(t,e,r){var o=t.selectAll(\\\".\\\"+n.cn.scrollbarKit).data(a.repeat,a.keyFun);o.enter().append(\\\"g\\\").classed(n.cn.scrollbarKit,!0).style(\\\"shape-rendering\\\",\\\"geometricPrecision\\\"),o.each((function(t){var e=t.scrollbarState;e.totalHeight=function(t){var e=t.rowBlocks;return z(e,e.length-1)+(e.length?D(e[e.length-1],1/0):1)}(t),e.scrollableAreaHeight=t.groupHeight-A(t),e.currentlyVisibleHeight=Math.min(e.totalHeight,e.scrollableAreaHeight),e.ratio=e.currentlyVisibleHeight/e.totalHeight,e.barLength=Math.max(e.ratio*e.currentlyVisibleHeight,n.goldenRatio*n.scrollbarWidth),e.barWiggleRoom=e.currentlyVisibleHeight-e.barLength,e.wiggleRoom=Math.max(0,e.totalHeight-e.scrollableAreaHeight),e.topY=0===e.barWiggleRoom?0:t.scrollY/e.wiggleRoom*e.barWiggleRoom,e.bottomY=e.topY+e.barLength,e.dragMultiplier=e.wiggleRoom/e.barWiggleRoom})).attr(\\\"transform\\\",(function(t){var e=t.width+n.scrollbarWidth/2+n.scrollbarOffset;return c(e,A(t))}));var s=o.selectAll(\\\".\\\"+n.cn.scrollbar).data(a.repeat,a.keyFun);s.enter().append(\\\"g\\\").classed(n.cn.scrollbar,!0);var 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O=I.selectAll(\\\".\\\"+n.cn.scrollAreaClipRect).data(a.repeat,a.keyFun);O.enter().append(\\\"rect\\\").classed(n.cn.scrollAreaClipRect,!0).attr(\\\"x\\\",-n.overdrag).attr(\\\"y\\\",-n.uplift).attr(\\\"fill\\\",\\\"none\\\"),O.attr(\\\"width\\\",(function(t){return t.width+2*n.overdrag})).attr(\\\"height\\\",(function(t){return t.height+n.uplift})),A.selectAll(\\\".\\\"+n.cn.columnBoundary).data(a.repeat,a.keyFun).enter().append(\\\"g\\\").classed(n.cn.columnBoundary,!0);var z=A.selectAll(\\\".\\\"+n.cn.columnBoundaryClippath).data(a.repeat,a.keyFun);z.enter().append(\\\"clipPath\\\").classed(n.cn.columnBoundaryClippath,!0),z.attr(\\\"id\\\",(function(e){return g(t,e)}));var D=z.selectAll(\\\".\\\"+n.cn.columnBoundaryRect).data(a.repeat,a.keyFun);D.enter().append(\\\"rect\\\").classed(n.cn.columnBoundaryRect,!0).attr(\\\"fill\\\",\\\"none\\\"),D.attr(\\\"width\\\",(function(t){return t.columnWidth+2*d(t)})).attr(\\\"height\\\",(function(t){return t.calcdata.height+2*d(t)+n.uplift})).attr(\\\"x\\\",(function(t){return-d(t)})).attr(\\\"y\\\",(function(t){return-d(t)})),S(null,P,p)}},{\\\"../../components/color\\\":658,\\\"../../components/drawing\\\":680,\\\"../../lib\\\":795,\\\"../../lib/gup\\\":792,\\\"../../lib/svg_text_utils\\\":820,\\\"./constants\\\":1342,\\\"./data_preparation_helper\\\":1343,\\\"./data_split_helpers\\\":1344,\\\"@plotly/d3\\\":58}],1348:[function(t,e,r){\\\"use strict\\\";var n=t(\\\"../../plots/template_attributes\\\").hovertemplateAttrs,i=t(\\\"../../plots/template_attributes\\\").texttemplateAttrs,a=t(\\\"../../components/colorscale/attributes\\\"),o=t(\\\"../../plots/domain\\\").attributes,s=t(\\\"../pie/attributes\\\"),l=t(\\\"../sunburst/attributes\\\"),c=t(\\\"./constants\\\"),u=t(\\\"../../lib/extend\\\").extendFlat;e.exports={labels:l.labels,parents:l.parents,values:l.values,branchvalues:l.branchvalues,count:l.count,level:l.level,maxdepth:l.maxdepth,tiling:{packing:{valType:\\\"enumerated\\\",values:[\\\"squarify\\\",\\\"binary\\\",\\\"dice\\\",\\\"slice\\\",\\\"slice-dice\\\",\\\"dice-slice\\\"],dflt:\\\"squarify\\\",editType:\\\"plot\\\"},squarifyratio:{valType:\\\"number\\\",min:1,dflt:1,editType:\\\"plot\\\"},flip:{valType:\\\"flaglist\\\",flags:[\\\"x\\\",\\\"y\\\"],dflt:\\\"\\\",editType:\\\"plot\\\"},pad:{valType:\\\"number\\\",min:0,dflt:3,editType:\\\"plot\\\"},editType:\\\"calc\\\"},marker:u({pad:{t:{valType:\\\"number\\\",min:0,editType:\\\"plot\\\"},l:{valType:\\\"number\\\",min:0,editType:\\\"plot\\\"},r:{valType:\\\"number\\\",min:0,editType:\\\"plot\\\"},b:{valType:\\\"number\\\",min:0,editType:\\\"plot\\\"},editType:\\\"calc\\\"},colors:l.marker.colors,depthfade:{valType:\\\"enumerated\\\",values:[!0,!1,\\\"reversed\\\"],editType:\\\"style\\\"},line:l.marker.line,editType:\\\"calc\\\"},a(\\\"marker\\\",{colorAttr:\\\"colors\\\",anim:!1})),pathbar:{visible:{valType:\\\"boolean\\\",dflt:!0,editType:\\\"plot\\\"},side:{valType:\\\"enumerated\\\",values:[\\\"top\\\",\\\"bottom\\\"],dflt:\\\"top\\\",editType:\\\"plot\\\"},edgeshape:{valType:\\\"enumerated\\\",values:[\\\">\\\",\\\"<\\\",\\\"|\\\",\\\"/\\\",\\\"\\\\\\\\\\\"],dflt:\\\">\\\",editType:\\\"plot\\\"},thickness:{valType:\\\"number\\\",min:12,editType:\\\"plot\\\"},textfont:u({},s.textfont,{}),editType:\\\"calc\\\"},text:s.text,textinfo:l.textinfo,texttemplate:i({editType:\\\"plot\\\"},{keys:c.eventDataKeys.concat([\\\"label\\\",\\\"value\\\"])}),hovertext:s.hovertext,hoverinfo:l.hoverinfo,hovertemplate:n({},{keys:c.eventDataKeys}),textfont:s.textfont,insidetextfont:s.insidetextfont,outsidetextfont:u({},s.outsidetextfont,{}),textposition:{valType:\\\"enumerated\\\",values:[\\\"top 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m=h(\\\"values\\\");m&&m.length?h(\\\"branchvalues\\\"):h(\\\"count\\\"),h(\\\"level\\\"),h(\\\"maxdepth\\\"),\\\"squarify\\\"===h(\\\"tiling.packing\\\")&&h(\\\"tiling.squarifyratio\\\"),h(\\\"tiling.flip\\\"),h(\\\"tiling.pad\\\");var g=h(\\\"text\\\");h(\\\"texttemplate\\\"),e.texttemplate||h(\\\"textinfo\\\",Array.isArray(g)?\\\"text+label\\\":\\\"label\\\"),h(\\\"hovertext\\\"),h(\\\"hovertemplate\\\");var v=h(\\\"pathbar.visible\\\");s(t,e,c,h,\\\"auto\\\",{hasPathbar:v,moduleHasSelected:!1,moduleHasUnselected:!1,moduleHasConstrain:!1,moduleHasCliponaxis:!1,moduleHasTextangle:!1,moduleHasInsideanchor:!1}),h(\\\"textposition\\\");var y=-1!==e.textposition.indexOf(\\\"bottom\\\");h(\\\"marker.line.width\\\")&&h(\\\"marker.line.color\\\",c.paper_bgcolor);var x=h(\\\"marker.colors\\\");(e._hasColorscale=u(t,\\\"marker\\\",\\\"colors\\\")||(t.marker||{}).coloraxis)?f(t,e,c,h,{prefix:\\\"marker.\\\",cLetter:\\\"c\\\"}):h(\\\"marker.depthfade\\\",!(x||[]).length);var b=2*e.textfont.size;h(\\\"marker.pad.t\\\",y?b/4:b),h(\\\"marker.pad.l\\\",b/4),h(\\\"marker.pad.r\\\",b/4),h(\\\"marker.pad.b\\\",y?b:b/4),e._hovered={marker:{line:{width:2,color:a.contrast(c.paper_bgcolor)}}},v&&(h(\\\"pathbar.thickness\\\",e.pathbar.textfont.size+2*l),h(\\\"pathbar.side\\\"),h(\\\"pathbar.edgeshape\\\")),h(\\\"sort\\\"),h(\\\"root.color\\\"),o(e,c,h),e._length=null}else e.visible=!1}},{\\\"../../components/color\\\":658,\\\"../../components/colorscale\\\":670,\\\"../../lib\\\":795,\\\"../../plots/domain\\\":872,\\\"../bar/constants\\\":935,\\\"../bar/defaults\\\":937,\\\"./attributes\\\":1348}],1353:[function(t,e,r){\\\"use strict\\\";var n=t(\\\"@plotly/d3\\\"),i=t(\\\"../sunburst/helpers\\\"),a=t(\\\"../bar/uniform_text\\\").clearMinTextSize,o=t(\\\"../bar/style\\\").resizeText,s=t(\\\"./plot_one\\\");e.exports=function(t,e,r,l,c){var u,f,h=c.type,p=c.drawDescendants,d=t._fullLayout,m=d[\\\"_\\\"+h+\\\"layer\\\"],g=!r;(a(h,d),(u=m.selectAll(\\\"g.trace.\\\"+h).data(e,(function(t){return t[0].trace.uid}))).enter().append(\\\"g\\\").classed(\\\"trace\\\",!0).classed(h,!0),u.order(),!d.uniformtext.mode&&i.hasTransition(r))?(l&&(f=l()),n.transition().duration(r.duration).ease(r.easing).each(\\\"end\\\",(function(){f&&f()})).each(\\\"interrupt\\\",(function(){f&&f()})).each((function(){m.selectAll(\\\"g.trace\\\").each((function(e){s(t,e,this,r,p)}))}))):(u.each((function(e){s(t,e,this,r,p)})),d.uniformtext.mode&&o(t,m.selectAll(\\\".trace\\\"),h));g&&u.exit().remove()}},{\\\"../bar/style\\\":947,\\\"../bar/uniform_text\\\":949,\\\"../sunburst/helpers\\\":1328,\\\"./plot_one\\\":1362,\\\"@plotly/d3\\\":58}],1354:[function(t,e,r){\\\"use strict\\\";var n=t(\\\"@plotly/d3\\\"),i=t(\\\"../../lib\\\"),a=t(\\\"../../components/drawing\\\"),o=t(\\\"../../lib/svg_text_utils\\\"),s=t(\\\"./partition\\\"),l=t(\\\"./style\\\").styleOne,c=t(\\\"./constants\\\"),u=t(\\\"../sunburst/helpers\\\"),f=t(\\\"../sunburst/fx\\\");e.exports=function(t,e,r,h,p){var d=p.barDifY,m=p.width,g=p.height,v=p.viewX,y=p.viewY,x=p.pathSlice,b=p.toMoveInsideSlice,_=p.strTransform,w=p.hasTransition,T=p.handleSlicesExit,k=p.makeUpdateSliceInterpolator,M=p.makeUpdateTextInterpolator,A={},S=t._fullLayout,E=e[0],L=E.trace,C=E.hierarchy,P=m/L._entryDepth,I=u.listPath(r.data,\\\"id\\\"),O=s(C.copy(),[m,g],{packing:\\\"dice\\\",pad:{inner:0,top:0,left:0,right:0,bottom:0}}).descendants();(O=O.filter((function(t){var e=I.indexOf(t.data.id);return-1!==e&&(t.x0=P*e,t.x1=P*(e+1),t.y0=d,t.y1=d+g,t.onPathbar=!0,!0)}))).reverse(),(h=h.data(O,u.getPtId)).enter().append(\\\"g\\\").classed(\\\"pathbar\\\",!0),T(h,!0,A,[m,g],x),h.order();var z=h;w&&(z=z.transition().each(\\\"end\\\",(function(){var e=n.select(this);u.setSliceCursor(e,t,{hideOnRoot:!1,hideOnLeaves:!1,isTransitioning:!1})}))),z.each((function(s){s._hoverX=v(s.x1-Math.min(m,g)/2),s._hoverY=y(s.y1-g/2);var h=n.select(this),p=i.ensureSingle(h,\\\"path\\\",\\\"surface\\\",(function(t){t.style(\\\"pointer-events\\\",\\\"all\\\")}));w?p.transition().attrTween(\\\"d\\\",(function(t){var e=k(t,!0,A,[m,g]);return function(t){return x(e(t))}})):p.attr(\\\"d\\\",x),h.call(f,r,t,e,{styleOne:l,eventDataKeys:c.eventDataKeys,transitionTime:c.CLICK_TRANSITION_TIME,transitionEasing:c.CLICK_TRANSITION_EASING}).call(u.setSliceCursor,t,{hideOnRoot:!1,hideOnLeaves:!1,isTransitioning:t._transitioning}),p.call(l,s,L,{hovered:!1}),s._text=(u.getPtLabel(s)||\\\"\\\").split(\\\"<br>\\\").join(\\\" \\\")||\\\"\\\";var d=i.ensureSingle(h,\\\"g\\\",\\\"slicetext\\\"),T=i.ensureSingle(d,\\\"text\\\",\\\"\\\",(function(t){t.attr(\\\"data-notex\\\",1)})),E=i.ensureUniformFontSize(t,u.determineTextFont(L,s,S.font,{onPathbar:!0}));T.text(s._text||\\\" \\\").classed(\\\"slicetext\\\",!0).attr(\\\"text-anchor\\\",\\\"start\\\").call(a.font,E).call(o.convertToTspans,t),s.textBB=a.bBox(T.node()),s.transform=b(s,{fontSize:E.size,onPathbar:!0}),s.transform.fontSize=E.size,w?T.transition().attrTween(\\\"transform\\\",(function(t){var e=M(t,!0,A,[m,g]);return function(t){return _(e(t))}})):T.attr(\\\"transform\\\",_(s))}))}},{\\\"../../components/drawing\\\":680,\\\"../../lib\\\":795,\\\"../../lib/svg_text_utils\\\":820,\\\"../sunburst/fx\\\":1327,\\\"../sunburst/helpers\\\":1328,\\\"./constants\\\":1351,\\\"./partition\\\":1360,\\\"./style\\\":1363,\\\"@plotly/d3\\\":58}],1355:[function(t,e,r){\\\"use strict\\\";var n=t(\\\"@plotly/d3\\\"),i=t(\\\"../../lib\\\"),a=t(\\\"../../components/drawing\\\"),o=t(\\\"../../lib/svg_text_utils\\\"),s=t(\\\"./partition\\\"),l=t(\\\"./style\\\").styleOne,c=t(\\\"./constants\\\"),u=t(\\\"../sunburst/helpers\\\"),f=t(\\\"../sunburst/fx\\\"),h=t(\\\"../sunburst/plot\\\").formatSliceLabel;e.exports=function(t,e,r,p,d){var m=d.width,g=d.height,v=d.viewX,y=d.viewY,x=d.pathSlice,b=d.toMoveInsideSlice,_=d.strTransform,w=d.hasTransition,T=d.handleSlicesExit,k=d.makeUpdateSliceInterpolator,M=d.makeUpdateTextInterpolator,A=d.prevEntry,S=t._fullLayout,E=e[0].trace,L=-1!==E.textposition.indexOf(\\\"left\\\"),C=-1!==E.textposition.indexOf(\\\"right\\\"),P=-1!==E.textposition.indexOf(\\\"bottom\\\"),I=!P&&!E.marker.pad.t||P&&!E.marker.pad.b,O=s(r,[m,g],{packing:E.tiling.packing,squarifyratio:E.tiling.squarifyratio,flipX:E.tiling.flip.indexOf(\\\"x\\\")>-1,flipY:E.tiling.flip.indexOf(\\\"y\\\")>-1,pad:{inner:E.tiling.pad,top:E.marker.pad.t,left:E.marker.pad.l,right:E.marker.pad.r,bottom:E.marker.pad.b}}).descendants(),z=1/0,D=-1/0;O.forEach((function(t){var e=t.depth;e>=E._maxDepth?(t.x0=t.x1=(t.x0+t.x1)/2,t.y0=t.y1=(t.y0+t.y1)/2):(z=Math.min(z,e),D=Math.max(D,e))})),p=p.data(O,u.getPtId),E._maxVisibleLayers=isFinite(D)?D-z+1:0,p.enter().append(\\\"g\\\").classed(\\\"slice\\\",!0),T(p,!1,{},[m,g],x),p.order();var 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the current output cell\\n\",\n       \"var outputEl = gd.closest('.output');\\n\",\n       \"if (outputEl) {{\\n\",\n       \"    x.observe(outputEl, {childList: true});\\n\",\n       \"}}\\n\",\n       \"\\n\",\n       \"                        })                };                });            </script>        </div>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"import plotly.graph_objects as go\\n\",\n    \"\\n\",\n    \"x, y, z = xyz[:,0], xyz[:,1], xyz[:,2]\\n\",\n    \"x1, y1, z1 = pt[:,0], pt[:,1], pt[:,2]\\n\",\n    \"\\n\",\n    \"fig = go.Figure(data=[go.Scatter3d(x=x, y=y, z=z, mode=\\\"markers\\\", name=\\\"molecule\\\",\\n\",\n    \"                                   marker=dict(size=10,color=0)),\\n\",\n    \"                      go.Scatter3d(x=x1, y=y1, z=z1, mode=\\\"markers\\\", name=\\\"box\\\",\\n\",\n    \"                                   marker=dict(size=2,color=10)),\\n\",\n    \"                     ]\\n\",\n    \"               )\\n\",\n    \"fig.show()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 5,\n   \"id\": \"10185d26023b46108eb7d9f57d49d2b3\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"Number of neighboring molecules 16\\n\",\n      \"[-8.019 -8.019 -5.462 -5.462 -5.394 -5.394 -1.716 -1.716 -1.195 -1.195\\n\",\n      \" -0.959 -0.959 -0.604 -0.604 -0.58  -0.58 ]\\n\"\n     ]\n    },\n    {\n     \"data\": {\n      \"image/png\": 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[\n    \"s.show_mol_cluster(0, style=\\\"stick\\\")\"\n   ]\n  }\n ],\n \"metadata\": {\n  \"@webio\": {\n   \"lastCommId\": null,\n   \"lastKernelId\": null\n  },\n  \"kernelspec\": {\n   \"display_name\": \"Python 3 (ipykernel)\",\n   \"language\": \"python\",\n   \"name\": \"python3\"\n  },\n  \"language_info\": {\n   \"codemirror_mode\": {\n    \"name\": \"ipython\",\n    \"version\": 3\n   },\n   \"file_extension\": \".py\",\n   \"mimetype\": \"text/x-python\",\n   \"name\": \"python\",\n   \"nbconvert_exporter\": \"python\",\n   \"pygments_lexer\": \"ipython3\",\n   \"version\": \"3.7.12\"\n  }\n },\n \"nbformat\": 4,\n \"nbformat_minor\": 5\n}\n"
  },
  {
    "path": "examples/tutorials_notebook/05-crystal-packing.ipynb",
    "content": "{\n \"cells\": [\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"# Tutorial 5: Molecular crystal packing images\\n\",\n    \"\\n\",\n    \"This tutorial discusses how to convert the crystal packing into spherical images.\\n\",\n    \"From the image representation, we will show how to measure the crystal packing similarity.\\n\",\n    \"More details about this approach can be found in https://arxiv.org/abs/2207.12548\\n\",\n    \"\\n\",\n    \"Created by Qiang Zhu (2022/07/27)\\n\",\n    \"\\n\",\n    \"Last updated: 2022/08/11\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 1,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"# Load the crystals\\n\",\n    \"from pkg_resources import resource_filename\\n\",\n    \"\\n\",\n    \"from pyxtal import pyxtal\\n\",\n    \"\\n\",\n    \"cif_ben = resource_filename(\\\"pyxtal\\\", \\\"database/cifs/benzene.cif\\\")\\n\",\n    \"cif_naph = resource_filename(\\\"pyxtal\\\", \\\"database/cifs/naphthalene.cif\\\")\\n\",\n    \"cif_anth = resource_filename(\\\"pyxtal\\\", \\\"database/cifs/anthracene.cif\\\")\\n\",\n    \"\\n\",\n    \"\\n\",\n    \"#benzene\\n\",\n    \"ben = pyxtal(molecular=True)\\n\",\n    \"ben.from_seed(cif_ben, [\\\"benzene\\\"])\\n\",\n    \"\\n\",\n    \"#naphthalene\\n\",\n    \"naph = pyxtal(molecular=True)\\n\",\n    \"naph.from_seed(cif_naph, [\\\"naphthalene\\\"])\\n\",\n    \"\\n\",\n    \"#anthracene\\n\",\n    \"anth = pyxtal(molecular=True)\\n\",\n    \"anth.from_seed(cif_anth, [\\\"anthracene\\\"])\\n\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 2,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": 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\\n\",\n      \"text/plain\": [\n       \"<Figure size 648x288 with 2 Axes>\"\n      ]\n     },\n     \"metadata\": {\n      \"needs_background\": \"light\"\n     },\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"# Compute and display the image describing benzene's crystal packing\\n\",\n    \"sph_ben = ben.get_spherical_images()\\n\",\n    \"sph_ben.align()\\n\",\n    \"sph_ben.plot_sph_images()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 3,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": 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\"metadata\": {},\n     \"output_type\": \"display_data\"\n    },\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"<py3Dmol.view at 0x7fe3dcaae890>\"\n      ]\n     },\n     \"execution_count\": 4,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"# view the molecular packing at the real space\\n\",\n    \"sph_ben.plot_real_image(0)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 5,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": 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\\n\",\n      \"text/plain\": [\n       \"<Figure size 648x288 with 2 Axes>\"\n      ]\n     },\n     \"metadata\": {\n      \"needs_background\": \"light\"\n     },\n     \"output_type\": \"display_data\"\n    },\n    {\n     \"data\": {\n      \"image/png\": 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\\n\",\n      \"text/plain\": [\n       \"<Figure size 648x288 with 2 Axes>\"\n      ]\n     },\n     \"metadata\": {\n      \"needs_background\": \"light\"\n     },\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"# Compute and display the image describing naphthalene and anthracene\\n\",\n    \"sph_naph = naph.get_spherical_images()\\n\",\n    \"sph_naph.align()\\n\",\n    \"sph_naph.plot_sph_images()\\n\",\n    \"\\n\",\n    \"sph_anth = anth.get_spherical_images()\\n\",\n    \"sph_anth.align()\\n\",\n    \"sph_anth.plot_sph_images()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 6,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"Similarity between benzen and naphta 0.7145885464284113\\n\",\n      \"Similarity between antcen and naphta 0.9742268926829936\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"# One can clearly see the strong similarity between naph and anth\\n\",\n    \"# To further comfirm it, one can simply compute the similarity as defined in\\n\",\n    \"# https://arxiv.org/abs/2207.12548\\n\",\n    \"\\n\",\n    \"s1 = sph_naph.get_similarity(sph_ben)\\n\",\n    \"s2 = sph_naph.get_similarity(sph_anth)\\n\",\n    \"print(\\\"Similarity between benzen and naphta\\\", s1[0,0])\\n\",\n    \"print(\\\"Similarity between antcen and naphta\\\", s2[0,0])\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": null,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": []\n  }\n ],\n \"metadata\": {\n  \"@webio\": {\n   \"lastCommId\": null,\n   \"lastKernelId\": null\n  },\n  \"kernelspec\": {\n   \"display_name\": \"Python 3 (ipykernel)\",\n   \"language\": \"python\",\n   \"name\": \"python3\"\n  },\n  \"language_info\": {\n   \"codemirror_mode\": {\n    \"name\": \"ipython\",\n    \"version\": 3\n   },\n   \"file_extension\": \".py\",\n   \"mimetype\": \"text/x-python\",\n   \"name\": \"python\",\n   \"nbconvert_exporter\": \"python\",\n   \"pygments_lexer\": \"ipython3\",\n   \"version\": \"3.7.12\"\n  }\n },\n \"nbformat\": 4,\n \"nbformat_minor\": 4\n}\n"
  },
  {
    "path": "examples/tutorials_notebook/ABAVUW.cif",
    "content": "####################################################################### \r\n# \r\n# This file contains crystal structure data downloaded from the \r\n# Cambridge Structural Database (CSD) hosted by the Cambridge \r\n# Crystallographic Data Centre (CCDC).\r\n# \r\n# Full information about CCDC data access policies and citation \r\n# guidelines are available at http://www.ccdc.cam.ac.uk/access/V1 \r\n# \r\n# Audit and citation data items may have been added by the CCDC. \r\n# Please retain this information to preserve the provenance of \r\n# this file and to allow appropriate attribution of the data. \r\n# \r\n#######################################################################\r\n\r\ndata_pt7023\r\n_audit_block_doi                 10.5517/ccxkff9\r\n_database_code_depnum_ccdc_archive 'CCDC 850901'\r\nloop_\r\n_citation_id\r\n_citation_doi\r\n_citation_year\r\n1 10.1021/ic200154y 2011\r\n_audit_update_record             \r\n;\r\n2011-10-27 deposited with the CCDC.\t2021-06-17 downloaded from the CCDC.\r\n;\r\n\r\n_audit_creation_method           SHELXL-97\r\n_chemical_name_systematic        ?\r\n_chemical_name_common            ?\r\n_chemical_melting_point          ?\r\n_chemical_formula_moiety         'C12 H17 N O3'\r\n_chemical_formula_sum            'C12 H17 N O3'\r\n_chemical_formula_weight         223.27\r\n\r\nloop_\r\n_atom_type_symbol\r\n_atom_type_description\r\n_atom_type_scat_dispersion_real\r\n_atom_type_scat_dispersion_imag\r\n_atom_type_scat_source\r\nC C 0.0033 0.0000 'International Tables Vol C Tables 4.2.6.8 and 6.1.1.4'\r\nH H 0.0000 0.0000 'International Tables Vol C Tables 4.2.6.8 and 6.1.1.4'\r\nN N 0.0061 0.0000 'International Tables Vol C Tables 4.2.6.8 and 6.1.1.4'\r\nO O 0.0106 0.0000 'International Tables Vol C Tables 4.2.6.8 and 6.1.1.4'\r\n\r\n_symmetry_cell_setting           orthorhombic\r\n_symmetry_space_group_name_H-M   'P 21 21 21'\r\n_symmetry_int_tables_number      19\r\n_symmetry_space_group_name_Hall  'P 2ac 2ab'\r\n\r\nloop_\r\n_symmetry_equiv_pos_as_xyz\r\n'x, y, z'\r\n'-x+1/2, -y, z+1/2'\r\n'-x, y+1/2, -z+1/2'\r\n'x+1/2, -y+1/2, -z'\r\n\r\n_cell_length_a                   9.6192(4)\r\n_cell_length_b                   10.6124(4)\r\n_cell_length_c                   11.8069(5)\r\n_cell_angle_alpha                90.00\r\n_cell_angle_beta                 90.00\r\n_cell_angle_gamma                90.00\r\n_cell_volume                     1205.28(8)\r\n_cell_formula_units_Z            4\r\n_cell_measurement_temperature    150(2)\r\n_cell_measurement_reflns_used    4774\r\n_cell_measurement_theta_min      2.5805\r\n_cell_measurement_theta_max      29.7525\r\n_exptl_crystal_description       block\r\n_exptl_crystal_colour            colourless\r\n_exptl_crystal_size_max          0.67\r\n_exptl_crystal_size_mid          0.51\r\n_exptl_crystal_size_min          0.23\r\n_exptl_crystal_density_meas      ?\r\n_exptl_crystal_density_diffrn    1.230\r\n_exptl_crystal_density_method    'not measured'\r\n_exptl_crystal_F_000             480\r\n_exptl_absorpt_coefficient_mu    0.088\r\n_exptl_absorpt_correction_type   multi-scan\r\n_exptl_absorpt_correction_T_min  0.8478\r\n_exptl_absorpt_correction_T_max  0.9772\r\n_exptl_absorpt_process_details   'SADABS 2007/2'\r\n_exptl_special_details           \r\n;\r\n?\r\n;\r\n\r\n_diffrn_ambient_temperature      150(2)\r\n_diffrn_radiation_probe          ?\r\n_diffrn_radiation_type           MoK\\a\r\n_diffrn_radiation_wavelength     0.71073\r\n_diffrn_source                   'fine-focus sealed tube'\r\n_diffrn_radiation_monochromator  graphite\r\n_diffrn_measurement_device_type  'Bruker Smart Apex CCD'\r\n_diffrn_measurement_method       'Omega scans'\r\n_diffrn_detector_area_resol_mean ?\r\n_diffrn_standards_number         ?\r\n_diffrn_standards_interval_count ?\r\n_diffrn_standards_interval_time  ?\r\n_diffrn_standards_decay_%        ?\r\n_diffrn_reflns_number            11342\r\n_diffrn_reflns_av_R_equivalents  0.0374\r\n_diffrn_reflns_av_sigmaI/netI    0.0298\r\n_diffrn_reflns_limit_h_min       -10\r\n_diffrn_reflns_limit_h_max       13\r\n_diffrn_reflns_limit_k_min       -14\r\n_diffrn_reflns_limit_k_max       14\r\n_diffrn_reflns_limit_l_min       -16\r\n_diffrn_reflns_limit_l_max       15\r\n_diffrn_reflns_theta_min         2.58\r\n_diffrn_reflns_theta_max         30.05\r\n_reflns_number_total             1973\r\n_reflns_number_gt                1757\r\n_reflns_threshold_expression     >2sigma(I)\r\n\r\n_computing_data_collection       ?\r\n_computing_cell_refinement       Saint\r\n_computing_data_reduction        Saint\r\n_computing_structure_solution    'Shelxs Sheldrick'\r\n_computing_structure_refinement  'SHELXL-97 (Sheldrick, 1997)'\r\n_computing_molecular_graphics    Shelxp\r\n\r\n_computing_publication_material  'Platon, encifer'\r\n_refine_special_details          \r\n;\r\nRefinement of F^2^ against ALL reflections. The weighted R-factor wR and\r\ngoodness of fit S are based on F^2^, conventional R-factors R are based\r\non F, with F set to zero for negative F^2^. The threshold expression of\r\nF^2^ > 2sigma(F^2^) is used only for calculating R-factors(gt) etc. and is\r\nnot relevant to the choice of reflections for refinement. R-factors based\r\non F^2^ are statistically about twice as large as those based on F, and R-\r\nfactors based on ALL data will be even larger.\r\n\r\n>>> The Following ALERTS were generated <<<\r\n#------------------------------------------\r\nFormat: alert-number_ALERT_alert-type_alert-level text\r\n\r\n032_ALERT_4_C Std. Uncertainty in Flack Parameter too High ... 10.00\r\n033_ALERT_2_C Flack Parameter Value Deviates 2 * su from zero. 10.00\r\n914_ALERT_3_C No Bijvoet Pairs in FCF for Non-centro Structure !\r\n\r\nFriedels were merged. Anomolous scattering power not significant enough for\r\nhand determination.\r\n\r\n\r\n063_ALERT_3_C Crystal Probably too Large for Beam Size ....... 0.67 mm\r\n\r\nGorbitz has shown that use of a large crystal does not appear to matter.\r\nSee C. H. Gorbitz Acta Cryst. (1999). B55, 1090-1098\r\n\r\n\r\n912_ALERT_3_C # Missing FCF Reflections Above STh/L= 0.600 47\r\n\r\nThe data collection strategy used was to collect fully complete data to\r\n2TH= 53deg. Some higher angle data were collected in the process and these\r\nhave been included in the refinement. Please refer to the completeness\r\nstatistics below\r\n\r\n#==============================================================================\r\nResolution & Completeness Statistics (Cumulative and Friedel Pairs Averaged)\r\n#==============================================================================\r\nTheta sin(th)/Lambda Complete Expected Measured Missing\r\n#------------------------------------------------------------------------------\r\n20.82 0.500 1.000 760 760 0\r\n23.01 0.550 1.000 994 994 0\r\n25.24 0.600 1.000 1272 1272 0\r\n#----------------------------------------------------------- ACTA Min. Res. ---\r\n27.51 0.650 1.000 1600 1600 0\r\n29.84 0.700 0.980 1984 1945 39\r\n30.05 0.705 0.977 2020 1973 47\r\n\r\n#==============================================================================\r\n\r\n\r\n;\r\n\r\n_refine_ls_structure_factor_coef Fsqd\r\n_refine_ls_matrix_type           full\r\n_refine_ls_weighting_scheme      calc\r\n_refine_ls_weighting_details     \r\n'calc w=1/[\\s^2^(Fo^2^)+(0.0680P)^2^+0.0340P] where P=(Fo^2^+2Fc^2^)/3'\r\n_atom_sites_solution_primary     direct\r\n_atom_sites_solution_secondary   difmap\r\n_atom_sites_solution_hydrogens   geom\r\n_refine_ls_hydrogen_treatment    mixed\r\n_refine_ls_extinction_method     none\r\n_refine_ls_extinction_coef       ?\r\n_refine_ls_abs_structure_details 'Flack H D (1983), Acta Cryst. A39, 876-881'\r\n_refine_ls_abs_structure_Flack   10(10)\r\n_refine_ls_number_reflns         1973\r\n_refine_ls_number_parameters     155\r\n_refine_ls_number_restraints     0\r\n_refine_ls_R_factor_all          0.0456\r\n_refine_ls_R_factor_gt           0.0399\r\n_refine_ls_wR_factor_ref         0.1074\r\n_refine_ls_wR_factor_gt          0.1044\r\n_refine_ls_goodness_of_fit_ref   1.137\r\n_refine_ls_restrained_S_all      1.137\r\n_refine_ls_shift/su_max          0.011\r\n_refine_ls_shift/su_mean         0.002\r\n\r\nloop_\r\n_atom_site_label\r\n_atom_site_type_symbol\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\n_atom_site_U_iso_or_equiv\r\n_atom_site_adp_type\r\n_atom_site_occupancy\r\n_atom_site_symmetry_multiplicity\r\n_atom_site_calc_flag\r\n_atom_site_refinement_flags\r\n_atom_site_disorder_assembly\r\n_atom_site_disorder_group\r\nO1 O 0.02305(13) 0.31584(11) 0.67530(9) 0.0275(3) Uani 1 1 d . . .\r\nH1 H -0.007(2) 0.243(2) 0.6911(18) 0.041 Uiso 1 1 d . . .\r\nC1 C -0.01938(16) 0.34447(14) 0.56842(12) 0.0223(3) Uani 1 1 d . . .\r\nC2 C -0.10071(16) 0.26454(14) 0.50224(13) 0.0220(3) Uani 1 1 d . . .\r\nC3 C -0.13987(16) 0.30215(13) 0.39243(12) 0.0229(3) Uani 1 1 d . . .\r\nH3 H -0.1969 0.2480 0.3483 0.027 Uiso 1 1 calc R . .\r\nC4 C -0.09701(16) 0.41649(13) 0.34714(12) 0.0221(3) Uani 1 1 d . . .\r\nC5 C -0.01507(16) 0.49522(13) 0.41541(12) 0.0244(3) Uani 1 1 d . . .\r\nH5 H 0.0162 0.5736 0.3860 0.029 Uiso 1 1 calc R . .\r\nC6 C 0.02102(16) 0.46118(14) 0.52434(12) 0.0235(3) Uani 1 1 d . . .\r\nC21 C -0.14484(16) 0.14133(14) 0.54297(12) 0.0237(3) Uani 1 1 d . . .\r\nH21 H -0.2030 0.0903 0.4968 0.028 Uiso 1 1 calc R . .\r\nN2 N -0.10622(16) 0.10092(12) 0.64029(11) 0.0284(3) Uani 1 1 d . . .\r\nO2 O -0.15597(15) -0.02084(12) 0.66155(11) 0.0374(3) Uani 1 1 d . . .\r\nH2 H -0.119(3) -0.040(2) 0.724(2) 0.056 Uiso 1 1 d . . .\r\nC41 C -0.12686(17) 0.45268(14) 0.22420(13) 0.0249(3) Uani 1 1 d . . .\r\nC42 C -0.1595(2) 0.59364(16) 0.21289(17) 0.0419(5) Uani 1 1 d . . .\r\nH42A H -0.2371 0.6154 0.2630 0.063 Uiso 1 1 calc R . .\r\nH42B H -0.1849 0.6126 0.1343 0.063 Uiso 1 1 calc R . .\r\nH42C H -0.0774 0.6429 0.2341 0.063 Uiso 1 1 calc R . .\r\nC43 C -0.2499(2) 0.37962(18) 0.17513(14) 0.0355(4) Uani 1 1 d . . .\r\nH43A H -0.2302 0.2891 0.1783 0.053 Uiso 1 1 calc R . .\r\nH43B H -0.2646 0.4049 0.0962 0.053 Uiso 1 1 calc R . .\r\nH43C H -0.3336 0.3980 0.2194 0.053 Uiso 1 1 calc R . .\r\nC44 C 0.0033(2) 0.4228(2) 0.15422(14) 0.0383(4) Uani 1 1 d . . .\r\nH44A H 0.0827 0.4695 0.1848 0.057 Uiso 1 1 calc R . .\r\nH44B H -0.0121 0.4476 0.0753 0.057 Uiso 1 1 calc R . .\r\nH44C H 0.0225 0.3322 0.1578 0.057 Uiso 1 1 calc R . .\r\nO61 O 0.09934(13) 0.53240(10) 0.59763(9) 0.0292(3) Uani 1 1 d . . .\r\nC62 C 0.1328(2) 0.65659(15) 0.56440(15) 0.0338(4) Uani 1 1 d . . .\r\nH62A H 0.1923 0.6541 0.4971 0.051 Uiso 1 1 calc R . .\r\nH62B H 0.1820 0.6991 0.6262 0.051 Uiso 1 1 calc R . .\r\nH62C H 0.0471 0.7027 0.5469 0.051 Uiso 1 1 calc R . .\r\n\r\nloop_\r\n_atom_site_aniso_label\r\n_atom_site_aniso_U_11\r\n_atom_site_aniso_U_22\r\n_atom_site_aniso_U_33\r\n_atom_site_aniso_U_23\r\n_atom_site_aniso_U_13\r\n_atom_site_aniso_U_12\r\nO1 0.0344(6) 0.0287(5) 0.0192(5) 0.0003(4) -0.0062(5) -0.0018(5)\r\nC1 0.0225(7) 0.0269(6) 0.0174(6) -0.0011(5) -0.0002(6) 0.0025(5)\r\nC2 0.0229(7) 0.0239(6) 0.0192(6) -0.0013(5) -0.0006(5) 0.0017(6)\r\nC3 0.0246(7) 0.0245(6) 0.0195(6) -0.0010(5) -0.0037(6) -0.0001(6)\r\nC4 0.0237(7) 0.0242(6) 0.0184(6) 0.0005(5) -0.0006(6) 0.0021(6)\r\nC5 0.0266(7) 0.0240(6) 0.0227(7) -0.0005(5) -0.0005(6) -0.0009(6)\r\nC6 0.0233(7) 0.0255(6) 0.0218(6) -0.0047(6) -0.0020(6) -0.0007(6)\r\nC21 0.0250(7) 0.0250(6) 0.0213(6) -0.0001(5) -0.0028(6) 0.0003(6)\r\nN2 0.0347(7) 0.0257(6) 0.0248(6) 0.0037(5) -0.0055(6) -0.0041(6)\r\nO2 0.0504(8) 0.0309(6) 0.0309(6) 0.0116(5) -0.0137(6) -0.0108(6)\r\nC41 0.0298(8) 0.0238(6) 0.0210(6) 0.0030(5) -0.0038(6) 0.0008(6)\r\nC42 0.0581(12) 0.0287(8) 0.0389(9) 0.0028(7) -0.0170(9) 0.0070(8)\r\nC43 0.0398(9) 0.0432(9) 0.0236(7) 0.0082(7) -0.0109(7) -0.0103(8)\r\nC44 0.0401(10) 0.0505(10) 0.0244(8) 0.0093(7) 0.0059(8) 0.0022(8)\r\nO61 0.0368(6) 0.0284(5) 0.0224(5) -0.0038(4) -0.0063(5) -0.0060(5)\r\nC62 0.0403(10) 0.0301(7) 0.0310(8) -0.0052(6) -0.0068(7) -0.0063(7)\r\n\r\n_geom_special_details            \r\n;\r\nAll esds (except the esd in the dihedral angle between two l.s. planes)\r\nare estimated using the full covariance matrix. The cell esds are taken\r\ninto account individually in the estimation of esds in distances, angles\r\nand torsion angles; correlations between esds in cell parameters are only\r\nused when they are defined by crystal symmetry. An approximate (isotropic)\r\ntreatment of cell esds is used for estimating esds involving l.s. planes.\r\n;\r\n\r\nloop_\r\n_geom_bond_atom_site_label_1\r\n_geom_bond_atom_site_label_2\r\n_geom_bond_distance\r\n_geom_bond_site_symmetry_2\r\n_geom_bond_publ_flag\r\nO1 C1 1.3607(18) . ?\r\nO1 H1 0.84(2) . ?\r\nC1 C2 1.394(2) . ?\r\nC1 C6 1.399(2) . ?\r\nC2 C3 1.408(2) . ?\r\nC2 C21 1.456(2) . ?\r\nC3 C4 1.389(2) . ?\r\nC3 H3 0.9500 . ?\r\nC4 C5 1.403(2) . ?\r\nC4 C41 1.529(2) . ?\r\nC5 C6 1.380(2) . ?\r\nC5 H5 0.9500 . ?\r\nC6 O61 1.3739(18) . ?\r\nC21 N2 1.2814(19) . ?\r\nC21 H21 0.9500 . ?\r\nN2 O2 1.4006(17) . ?\r\nO2 H2 0.84(3) . ?\r\nC41 C43 1.529(2) . ?\r\nC41 C44 1.533(2) . ?\r\nC41 C42 1.534(2) . ?\r\nC42 H42A 0.9800 . ?\r\nC42 H42B 0.9800 . ?\r\nC42 H42C 0.9800 . ?\r\nC43 H43A 0.9800 . ?\r\nC43 H43B 0.9800 . ?\r\nC43 H43C 0.9800 . ?\r\nC44 H44A 0.9800 . ?\r\nC44 H44B 0.9800 . ?\r\nC44 H44C 0.9800 . ?\r\nO61 C62 1.4122(19) . ?\r\nC62 H62A 0.9800 . ?\r\nC62 H62B 0.9800 . ?\r\nC62 H62C 0.9800 . ?\r\n\r\nloop_\r\n_geom_angle_atom_site_label_1\r\n_geom_angle_atom_site_label_2\r\n_geom_angle_atom_site_label_3\r\n_geom_angle\r\n_geom_angle_site_symmetry_1\r\n_geom_angle_site_symmetry_3\r\n_geom_angle_publ_flag\r\nC1 O1 H1 107.9(15) . . ?\r\nO1 C1 C2 123.53(14) . . ?\r\nO1 C1 C6 117.36(13) . . ?\r\nC2 C1 C6 119.11(14) . . ?\r\nC1 C2 C3 119.60(14) . . ?\r\nC1 C2 C21 121.67(14) . . ?\r\nC3 C2 C21 118.72(13) . . ?\r\nC4 C3 C2 121.53(14) . . ?\r\nC4 C3 H3 119.2 . . ?\r\nC2 C3 H3 119.2 . . ?\r\nC3 C4 C5 117.76(13) . . ?\r\nC3 C4 C41 121.97(13) . . ?\r\nC5 C4 C41 120.09(13) . . ?\r\nC6 C5 C4 121.38(14) . . ?\r\nC6 C5 H5 119.3 . . ?\r\nC4 C5 H5 119.3 . . ?\r\nO61 C6 C5 125.51(14) . . ?\r\nO61 C6 C1 113.90(13) . . ?\r\nC5 C6 C1 120.57(14) . . ?\r\nN2 C21 C2 120.80(14) . . ?\r\nN2 C21 H21 119.6 . . ?\r\nC2 C21 H21 119.6 . . ?\r\nC21 N2 O2 111.74(13) . . ?\r\nN2 O2 H2 103.2(17) . . ?\r\nC43 C41 C4 112.20(13) . . ?\r\nC43 C41 C44 108.84(14) . . ?\r\nC4 C41 C44 107.83(13) . . ?\r\nC43 C41 C42 107.66(15) . . ?\r\nC4 C41 C42 111.47(13) . . ?\r\nC44 C41 C42 108.77(15) . . ?\r\nC41 C42 H42A 109.5 . . ?\r\nC41 C42 H42B 109.5 . . ?\r\nH42A C42 H42B 109.5 . . ?\r\nC41 C42 H42C 109.5 . . ?\r\nH42A C42 H42C 109.5 . . ?\r\nH42B C42 H42C 109.5 . . ?\r\nC41 C43 H43A 109.5 . . ?\r\nC41 C43 H43B 109.5 . . ?\r\nH43A C43 H43B 109.5 . . ?\r\nC41 C43 H43C 109.5 . . ?\r\nH43A C43 H43C 109.5 . . ?\r\nH43B C43 H43C 109.5 . . ?\r\nC41 C44 H44A 109.5 . . ?\r\nC41 C44 H44B 109.5 . . ?\r\nH44A C44 H44B 109.5 . . ?\r\nC41 C44 H44C 109.5 . . ?\r\nH44A C44 H44C 109.5 . . ?\r\nH44B C44 H44C 109.5 . . ?\r\nC6 O61 C62 117.60(13) . . ?\r\nO61 C62 H62A 109.5 . . ?\r\nO61 C62 H62B 109.5 . . ?\r\nH62A C62 H62B 109.5 . . ?\r\nO61 C62 H62C 109.5 . . ?\r\nH62A C62 H62C 109.5 . . ?\r\nH62B C62 H62C 109.5 . . ?\r\n\r\n_diffrn_measured_fraction_theta_max 0.977\r\n_diffrn_reflns_theta_full        27.51\r\n_diffrn_measured_fraction_theta_full 1.000\r\n_refine_diff_density_max         0.330\r\n_refine_diff_density_min         -0.223\r\n_refine_diff_density_rms         0.052\r\n_chemical_compound_source        'Ross Forgan'\r\n_exptl_crystal_recrystallization_method 'Evaporation of acetone solution'\r\n"
  },
  {
    "path": "examples/tutorials_notebook/aspirin.cif",
    "content": "####################################################################### \n# \n# This file contains crystal structure data downloaded from the \n# Cambridge Structural Database (CSD) hosted by the Cambridge \n# Crystallographic Data Centre (CCDC).\n# \n# Full information about CCDC data access policies and citation \n# guidelines are available at http://www.ccdc.cam.ac.uk/access/V1 \n# \n# Audit and citation data items may have been added by the CCDC. \n# Please retain this information to preserve the provenance of \n# this file and to allow appropriate attribution of the data. \n# \n#######################################################################\n\ndata_asp100\n_audit_block_doi                 10.5517/cc66zzb\n_database_code_depnum_ccdc_archive 'CCDC 185472'\nloop_\n_citation_id\n_citation_doi\n_citation_year\n1 10.1039/b203379h 2003\n_audit_update_record             \n;\n2002-05-09 deposited with the CCDC. 2020-02-22 downloaded from the CCDC.\n;\n\n_audit_creation_method           SHELXL-97\n_chemical_name_systematic        \n;\n2-(acetoyloxy)benzoic acid\n;\n_chemical_name_common            Aspirin\n_chemical_formula_sum            'C9 H8 O4'\n_chemical_formula_weight         180.16\n\nloop_\n_atom_type_symbol\n_atom_type_description\n_atom_type_scat_length_neutron\n_atom_type_scat_source\nC C 6.646 'International Tables Vol C Table 4.4.4.1'\nH H -3.739 'International Tables Vol C Table 4.4.4.1'\nO O 5.803 'International Tables Vol C Table 4.4.4.1'\n\n_symmetry_cell_setting           Monoclinic\n_symmetry_space_group_name_H-M   P21/c\n\nloop_\n_symmetry_equiv_pos_as_xyz\n'x, y, z'\n'-x, y+1/2, -z+1/2'\n'-x, -y, -z'\n'x, -y-1/2, z-1/2'\n\n_cell_length_a                   11.233(3)\n_cell_length_b                   6.5440(10)\n_cell_length_c                   11.231(3)\n_cell_angle_alpha                90.00\n_cell_angle_beta                 95.89(2)\n_cell_angle_gamma                90.00\n_cell_volume                     821.2(3)\n_cell_formula_units_Z            4\n\n_cell_measurement_temperature    100(1)\n_cell_measurement_reflns_used    25\n_cell_measurement_theta_min      ?\n\n_exptl_crystal_description       'irregular prism'\n_exptl_crystal_colour            colourless\n_exptl_crystal_size_max          8\n_exptl_crystal_size_mid          4\n_exptl_crystal_size_min          1.5\n_exptl_crystal_density_meas      ?\n_exptl_crystal_density_diffrn    1.456\n_exptl_crystal_density_method    'not measured'\n_exptl_crystal_F_000             21\n_exptl_absorpt_coefficient_mu    '1.0550, at 1 Angstrom'\n_exptl_absorpt_correction_type   empirical\n_exptl_absorpt_correction_T_min  0.45\n_exptl_absorpt_correction_T_max  0.75\n_exptl_absorpt_process_details   \n;\nThe linear absorption coefficient is wavelength dependent\nand it is calculated as:\nmu = 0.80 + 0.75 * lambda [cm^-1]\n;\n\n_exptl_special_details           \n;\nFor peak integration a local UB matrix refined for each frame,\nusing approximately 25 reflections.\nHence _cell_measurement_reflns_used 25\n\nFor final cell dimensions an average of all local\ncells was performed and estimated standard uncertainties\nwere obtained from the spread of the local observations\n\nBecause of the nature of the experiment, it is not possible to give values of\ntheta_min and theta_max for the cell determination.\n\nInstead, we can give values of\n\n#_cell_measurement_sin(theta)/lambda_min 0.20\n#_cell_measurement_sin(theta)/lambda_max 0.75\n\nThe same applies for the wavelength used for the experiment.\nThe range of wavelengths used was 0.5-5.0 Angstroms,\nBUT the bulk of the diffraction information is obtained from\nwavelengths in the range 0.7-2.5 Angstroms.\n\nThe data collection procedures on the SXD instrument used\nfor the single crystal neutron data collection are most\nrecently summarised in the Appendix to the following paper\nWilson, C.C. (1997). J. Mol. Struct. 405, 207-217.\n;\n\n_diffrn_ambient_temperature      100(2)\n_diffrn_radiation_wavelength     0.5-5.0\n_diffrn_radiation_type           neutron\n_diffrn_radiation_source         'ISIS spallation source'\n_diffrn_measurement_device       SXD\n_diffrn_measurement_method       'time-of-flight LAUE diffraction'\n_diffrn_reflns_number            3971\n_diffrn_reflns_av_R_equivalents  0.068\n_diffrn_reflns_av_sigmaI/netI    0.0414\n_diffrn_reflns_limit_h_min       0\n_diffrn_reflns_limit_h_max       24\n_diffrn_reflns_limit_k_min       0\n_diffrn_reflns_limit_k_max       14\n_diffrn_reflns_limit_l_min       -16\n_diffrn_reflns_limit_l_max       18\n_diffrn_reflns_theta_min         ?\n_diffrn_reflns_theta_max         ?\n_reflns_number_total             1151\n_reflns_number_gt                1151\n_reflns_threshold_expression     >2sigma(I)\n\n_computing_data_collection       ?\n_computing_cell_refinement       ?\n_computing_data_reduction        ?\n_computing_structure_solution    ?\n_computing_structure_refinement  'SHELXL-97 (Sheldrick, 1997)'\n_computing_molecular_graphics    'ORTEP (Johnson, 1994)'\n_computing_publication_material  ?\n\n_refine_special_details          \n;\nThese data are by no means complete.\nThey were collected in a very restricted geometry due\nto the microwave apparatus also installed at the time.\nThe data/parameter ratio is also rather small, however\nthe refinements are stable and supportive of the\nobservations presented in the paper.\n\nThe microwave source was switched OFF for these data.\n\nThe variable wavelength nature of the data collection\nprocedure means that sensible values of\n#_diffrn_reflns_theta_min & _diffrn_reflns_theta_max\ncannot be given\n\nIt is also difficult to estimate realistic values of\nmaximum sin(theta)/lambda values for two reasons:\n(i) Different sin(theta)/lambda ranges are accessed\nin different parts of the detectors\n(ii) The nature of the data collection occasionally\nallows some reflections at very high sin(theta)/lambda\nto be observed even when no real attempt has been\nmade to measure data in this region.\n\nHowever, we can attempt to estimate the sin(theta)/lambda limits as follows:\n\n#_diffrn_reflns_sin(theta)/lambda_min 0.05\n#_diffrn_reflns_sin(theta)/lambda_max 0.75\n\nNote also that reflections for which the standard profile fitting integration\nprocedure fails are excluded from the data set, thus resulting in a high\nelimination rate of weak or \"unobserved\" peaks from the final data set.\n\nThe extinction coefficient reported in _refine_ls_extinction_coef is in this\ncase the refined value of the mosaic spread in units of 10^-4 rad^-1\nThe reference for the extinction method used is:\nBecker, P. & Coppens, P. (1974). Acta Cryst. A30, 129-148.\n\nRefinement of F^2^ against ALL reflections. The weighted R-factor wR and\ngoodness of fit S are based on F^2^, conventional R-factors R are based\non F, with F set to zero for negative F^2^. The threshold expression of\nF^2^ > 2sigma(F^2^) is used only for calculating R-factors(gt) etc. and is\nnot relevant to the choice of reflections for refinement. R-factors based\non F^2^ are statistically about twice as large as those based on F, and R-\nfactors based on ALL data will be even larger.\n;\n\n_refine_ls_structure_factor_coef Fsqd\n_refine_ls_matrix_type           full\n_refine_ls_weighting_scheme      calc\n_refine_ls_weighting_details     \n'calc w=1/[\\s^2^(Fo^2^)+(0.0763P)^2^+0.3996P] where P=(Fo^2^+2Fc^2^)/3'\n_refine_ls_hydrogen_treatment    refall\n_refine_ls_extinction_method     'Becker-Coppens Lorentzian model'\n_refine_ls_extinction_coef       0.06\n_refine_ls_number_reflns         1151\n_refine_ls_number_parameters     190\n_refine_ls_number_restraints     0\n_refine_ls_R_factor_all          0.0958\n_refine_ls_R_factor_gt           0.0958\n_refine_ls_wR_factor_ref         0.2369\n_refine_ls_wR_factor_gt          0.2369\n_refine_ls_goodness_of_fit_ref   1.468\n_refine_ls_restrained_S_all      1.468\n_refine_ls_shift/su_max          0.001\n_refine_ls_shift/su_mean         0.000\n\nloop_\n_atom_site_label\n_atom_site_type_symbol\n_atom_site_fract_x\n_atom_site_fract_y\n_atom_site_fract_z\n_atom_site_U_iso_or_equiv\n_atom_site_adp_type\n_atom_site_occupancy\n_atom_site_symmetry_multiplicity\n_atom_site_calc_flag\n_atom_site_refinement_flags\n_atom_site_disorder_assembly\n_atom_site_disorder_group\nC1 C 0.1537(4) 0.5603(6) 0.0665(6) 0.0115(9) Uani 1 1 d . . .\nC2 C 0.2473(4) 0.4838(6) 0.0088(5) 0.0118(10) Uani 1 1 d . . .\nC3 C 0.2998(4) 0.2977(7) 0.0414(7) 0.0174(12) Uani 1 1 d . . .\nC4 C 0.2609(4) 0.1876(7) 0.1352(7) 0.0199(12) Uani 1 1 d . . .\nC5 C 0.1686(4) 0.2620(7) 0.1942(7) 0.0174(12) Uani 1 1 d . . .\nC6 C 0.1158(4) 0.4463(7) 0.1614(6) 0.0158(11) Uani 1 1 d . . .\nC7 C 0.0903(4) 0.7562(7) 0.0372(5) 0.0113(9) Uani 1 1 d . . .\nC8 C 0.3674(4) 0.7373(7) -0.0623(6) 0.0137(10) Uani 1 1 d . . .\nC9 C 0.3993(5) 0.8399(9) -0.1740(7) 0.0214(12) Uani 1 1 d . . .\nO1 O 0.1235(5) 0.8590(10) -0.0527(9) 0.0201(15) Uani 1 1 d . . .\nO2 O 0.0098(6) 0.8130(9) 0.0966(8) 0.0205(13) Uani 1 1 d . . .\nO3 O 0.2886(5) 0.5827(8) -0.0890(7) 0.0136(11) Uani 1 1 d . . .\nO4 O 0.4029(6) 0.7815(11) 0.0367(8) 0.0248(16) Uani 1 1 d . . .\nH1 H 0.3698(11) 0.2377(19) -0.0095(17) 0.035(3) Uani 1 1 d . . .\nH2 H 0.3016(12) 0.0396(16) 0.1593(16) 0.033(3) Uani 1 1 d . . .\nH3 H 0.1406(11) 0.174(2) 0.2688(19) 0.040(4) Uani 1 1 d . . .\nH4 H 0.0433(10) 0.507(2) 0.2083(16) 0.031(3) Uani 1 1 d . . .\nH5 H 0.4618(18) 0.960(3) -0.145(3) 0.059(6) Uani 1 1 d . . .\nH6 H 0.3200(16) 0.897(5) -0.224(3) 0.088(12) Uani 1 1 d . . .\nH7 H 0.434(3) 0.735(4) -0.240(3) 0.072(7) Uani 1 1 d . . .\nH8 H 0.0713(10) 0.9855(18) -0.0642(15) 0.030(3) Uani 1 1 d . . .\n\nloop_\n_atom_site_aniso_label\n_atom_site_aniso_U_11\n_atom_site_aniso_U_22\n_atom_site_aniso_U_33\n_atom_site_aniso_U_23\n_atom_site_aniso_U_13\n_atom_site_aniso_U_12\nC1 0.0116(13) 0.0103(15) 0.013(3) 0.0003(14) 0.0039(19) 0.0000(11)\nC2 0.0125(14) 0.0133(17) 0.010(3) -0.0038(14) 0.0035(19) 0.0000(11)\nC3 0.0186(17) 0.0144(19) 0.020(4) -0.0003(18) 0.007(2) 0.0048(13)\nC4 0.0183(18) 0.0138(19) 0.028(4) 0.0034(19) 0.006(2) 0.0039(13)\nC5 0.0132(15) 0.0177(19) 0.022(4) 0.0047(19) 0.006(2) 0.0016(13)\nC6 0.0143(15) 0.0155(18) 0.018(3) 0.0037(17) 0.005(2) 0.0013(13)\nC7 0.0127(14) 0.0126(18) 0.009(3) 0.0005(15) 0.0044(17) 0.0025(11)\nC8 0.0103(13) 0.0199(19) 0.012(3) -0.0024(17) 0.0050(18) -0.0027(12)\nC9 0.023(2) 0.029(3) 0.013(4) 0.003(2) 0.006(3) -0.0061(17)\nO1 0.0166(19) 0.022(2) 0.023(5) 0.008(2) 0.006(3) 0.0058(16)\nO2 0.025(2) 0.018(2) 0.021(4) 0.006(2) 0.012(3) 0.0093(17)\nO3 0.0163(18) 0.014(2) 0.011(3) -0.0052(18) 0.002(2) -0.0008(14)\nO4 0.027(3) 0.032(3) 0.015(5) -0.007(3) 0.006(3) -0.013(2)\nH1 0.033(5) 0.031(6) 0.040(10) 0.001(5) 0.005(6) 0.010(4)\nH2 0.047(6) 0.018(4) 0.036(10) 0.009(4) 0.010(7) 0.011(4)\nH3 0.028(5) 0.041(6) 0.052(12) 0.030(7) 0.009(7) 0.007(4)\nH4 0.027(4) 0.039(6) 0.028(9) 0.006(5) 0.009(6) 0.004(4)\nH5 0.062(9) 0.054(10) 0.063(19) -0.002(9) 0.017(12) -0.026(7)\nH6 0.040(8) 0.115(18) 0.10(3) 0.081(19) -0.030(12) -0.016(9)\nH7 0.13(2) 0.072(14) 0.024(15) -0.007(9) 0.045(15) -0.004(12)\nH8 0.031(4) 0.030(5) 0.031(9) 0.009(5) 0.009(6) 0.009(4)\n\n_geom_special_details            \n;\nAll esds (except the esd in the dihedral angle between two l.s. planes)\nare estimated using the full covariance matrix. The cell esds are taken\ninto account individually in the estimation of esds in distances, angles\nand torsion angles; correlations between esds in cell parameters are only\nused when they are defined by crystal symmetry. An approximate (isotropic)\ntreatment of cell esds is used for estimating esds involving l.s. planes.\n;\n\nloop_\n_geom_bond_atom_site_label_1\n_geom_bond_atom_site_label_2\n_geom_bond_distance\n_geom_bond_site_symmetry_2\n_geom_bond_publ_flag\nC1 C2 1.385(7) . ?\nC1 C6 1.402(9) . ?\nC1 C7 1.487(6) . ?\nC2 C3 1.386(6) . ?\nC2 O3 1.394(10) . ?\nC3 C4 1.384(10) . ?\nC3 H1 1.091(16) . ?\nC4 C5 1.376(9) . ?\nC4 H2 1.093(11) . ?\nC5 C6 1.377(7) . ?\nC5 H3 1.091(17) . ?\nC6 H4 1.089(16) . ?\nC7 O2 1.235(9) . ?\nC7 O1 1.299(10) . ?\nC8 O4 1.177(11) . ?\nC8 O3 1.358(7) . ?\nC8 C9 1.499(10) . ?\nC9 H5 1.083(18) . ?\nC9 H6 1.069(17) . ?\nC9 H7 1.11(3) . ?\nO1 H8 1.016(12) . ?\n\nloop_\n_geom_angle_atom_site_label_1\n_geom_angle_atom_site_label_2\n_geom_angle_atom_site_label_3\n_geom_angle\n_geom_angle_site_symmetry_1\n_geom_angle_site_symmetry_3\n_geom_angle_publ_flag\nC2 C1 C6 117.9(4) . . ?\nC2 C1 C7 125.3(5) . . ?\nC6 C1 C7 116.8(4) . . ?\nC1 C2 C3 121.1(5) . . ?\nC1 C2 O3 122.1(5) . . ?\nC3 C2 O3 116.7(5) . . ?\nC4 C3 C2 120.0(5) . . ?\nC4 C3 H1 120.8(9) . . ?\nC2 C3 H1 119.2(10) . . ?\nC5 C4 C3 119.7(5) . . ?\nC5 C4 H2 120.7(11) . . ?\nC3 C4 H2 119.6(10) . . ?\nC4 C5 C6 120.4(6) . . ?\nC4 C5 H3 118.2(9) . . ?\nC6 C5 H3 121.3(9) . . ?\nC5 C6 C1 120.9(5) . . ?\nC5 C6 H4 120.8(9) . . ?\nC1 C6 H4 118.3(8) . . ?\nO2 C7 O1 123.3(5) . . ?\nO2 C7 C1 120.0(5) . . ?\nO1 C7 C1 116.7(5) . . ?\nO4 C8 O3 122.8(7) . . ?\nO4 C8 C9 126.4(6) . . ?\nO3 C8 C9 110.8(6) . . ?\nC8 C9 H5 105.8(16) . . ?\nC8 C9 H6 109.5(15) . . ?\nH5 C9 H6 113(2) . . ?\nC8 C9 H7 114.4(15) . . ?\nH5 C9 H7 113(2) . . ?\nH6 C9 H7 101(3) . . ?\nC7 O1 H8 108.2(11) . . ?\nC8 O3 C2 115.7(6) . . ?\n\n_refine_diff_density_max         0.174\n_refine_diff_density_min         -0.169\n_refine_diff_density_rms         0.041\n"
  },
  {
    "path": "examples/tutorials_notebook/lt_quartz.cif",
    "content": "# generated using pymatgen\ndata_SiO2\n_symmetry_space_group_name_H-M   P3_221\n_cell_length_a   5.02778205\n_cell_length_b   5.02778205\n_cell_length_c   5.51891800\n_cell_angle_alpha   90.00000000\n_cell_angle_beta   90.00000000\n_cell_angle_gamma   120.00000000\n_symmetry_Int_Tables_number   154\n_chemical_formula_structural   SiO2\n_chemical_formula_sum   'Si3 O6'\n_cell_volume   120.81961853\n_cell_formula_units_Z   3\nloop_\n _symmetry_equiv_pos_site_id\n _symmetry_equiv_pos_as_xyz\n  1  'x, y, z'\n  2  '-y, x-y, z+2/3'\n  3  '-x+y, -x, z+1/3'\n  4  'y, x, -z'\n  5  'x-y, -y, -z+1/3'\n  6  '-x, -x+y, -z+2/3'\nloop_\n _atom_site_type_symbol\n _atom_site_label\n _atom_site_symmetry_multiplicity\n _atom_site_fract_x\n _atom_site_fract_y\n _atom_site_fract_z\n _atom_site_occupancy\n  Si  Si0  3  0.00000000  0.47729000  0.33333333  1\n  O  O1  6  0.16074000  0.74570300  0.53733367  1\n"
  },
  {
    "path": "flask/.flaskenv",
    "content": "FLASK_APP=vxrd.py\nFLASK_DEBUG=1"
  },
  {
    "path": "flask/README.md",
    "content": "# VXRD: Virtual X-Ray Diffraction\nVXRD is a web interface to visualize PyXtal's [PXRD](https://nbviewer.jupyter.org/github/qzhu2017/PyXtal/blob/master/examples/tutorials_notebook/03_pxrd.ipynb) module for X-ray diffraction analysis.  The web app is currently hosted at https://vxrd.physics.unlv.edu/ for general use.\n\nTo run and view the VXRD web app on your local machine, ensure PyXtal is installed (`pip install pyxtal`) and run the following shell commands:\n```bash\n$ cd PyXtal/flask/\n$ pip install -r requirements.txt\n$ flask run\n```\n\nAdd the following to your .bashrc (or equivalent)\n```\n# VXRD Flask Environment Variables\nexport SECRET_KEY=asdf1234\n```\n\nIf everything is setup correctly, you should see the following output:\n```bash\n * Serving Flask app \"vxrd.py\"\n * ...\n * Running on http://127.0.0.1:5000/ (Press CTRL+C to quit)\n```\n\nThen, open your web browser and enter the following URL:\n`http://localhost:5000/`\n\nWhen finished, press `CTRL+C` in your terminal to shutdown the web-app.\n\n## VXRD: JSmol\nIn order to see the 3D structure visualized with JSmol, you'll need to unzip `jsmol.zip` into the following directory:\n```bash\n$ unzip jsmol.zip ./flask/app/static/\n```\n"
  },
  {
    "path": "flask/app/__init__.py",
    "content": "import logging\nimport os\nfrom flask import Flask\nfrom config import Config\nfrom flask_bootstrap import Bootstrap\nfrom flask_uploads import patch_request_class\nfrom logging.handlers import SMTPHandler, RotatingFileHandler\n\n\napp = Flask(__name__)\napp.config.from_object(Config)\nbootstrap = Bootstrap(app)\npatch_request_class(app, size=16777216)\n\nfrom app import routes, errors\n\nif not app.debug:\n    if app.config[\"MAIL_SERVER\"]:\n        auth = None\n        if app.config[\"MAIL_USERNAME\"] or app.config[\"MAIL_PASSWORD\"]:\n            auth = (app.config[\"MAIL_USERNAME\"], app.config[\"MAIL_PASSWORD\"])\n        secure = None\n        if app.config[\"MAIL_USE_TLS\"]:\n            secure = ()\n        mail_handler = SMTPHandler(\n            mailhost=(app.config[\"MAIL_SERVER\"], app.config[\"MAIL_PORT\"]),\n            fromaddr=\"no-reply@\" + app.config[\"MAIL_SERVER\"],\n            toaddrs=app.config[\"ADMINS\"],\n            subject=\"VXRD Error Traceback\",\n            credentials=auth,\n            secure=secure,\n        )\n        mail_handler.setLevel(logging.ERROR)\n        app.logger.addHandler(mail_handler)\n\n    if not os.path.exists(\"logs\"):\n        os.mkdir(\"logs\")\n    file_handler = RotatingFileHandler(\"logs/vxrd.log\", maxBytes=10240, backupCount=10)\n    file_handler.setFormatter(\n        logging.Formatter(\n            \"%(asctime)s %(levelname)s: %(message)s [in %(pathname)s:%(lineno)d]\"\n        )\n    )\n    file_handler.setLevel(logging.INFO)\n    app.logger.addHandler(file_handler)\n\n    app.logger.setLevel(logging.INFO)\n    app.logger.info(\"VXRD startup\")\n"
  },
  {
    "path": "flask/app/errors.py",
    "content": "from flask import render_template\nfrom app import app\n\n\n@app.errorhandler(404)\ndef not_found_error(error):\n    return render_template(\"404.html\"), 404\n\n\n@app.errorhandler(500)\ndef internal_error(error):\n    return render_template(\"500.html\"), 500\n"
  },
  {
    "path": "flask/app/forms.py",
    "content": "from flask_wtf import FlaskForm\nfrom flask_wtf.file import FileField, FileRequired, FileAllowed\nfrom wtforms import FloatField, SelectField, SubmitField\nfrom wtforms.validators import DataRequired, NumberRange, ValidationError\n\n\nclass MainForm(FlaskForm):\n    upload = FileField(\n        label=\"Input File (CIF, POSCAR, etc.)\",\n        description='See <a href=\"https://wiki.fysik.dtu.dk/ase/ase/io/io.html?highlight=formats#file-input-and-output\" target=\"_blank\">table</a> for a list of readable formats',\n    )\n    wavelength = FloatField(\n        label=\"<i>&lambda;</i> (&#8491;)\",\n        validators=[\n            DataRequired(),\n            NumberRange(min=0.1, max=5, message=\"From %(min)s Å to %(max)s Å\"),\n        ],\n        description=\"X-ray wavelength in angstroms\",\n        default=1.54056,\n    )\n    min2theta = FloatField(\n        label=\"2<i>&theta;</i><sub>min</sub> (&deg;)\",\n        validators=[NumberRange(min=0, max=180, message=\"From %(min)s° to %(max)s°\")],\n        description=\"Diffraction angle\",\n        default=0,\n    )\n    max2theta = FloatField(\n        label=\"2<i>&theta;</i><sub>max</sub> (&deg;)\",\n        validators=[\n            DataRequired(),\n            NumberRange(min=5, max=180, message=\"From %(min)s° to %(max)s°\"),\n        ],\n        description=\"Diffraction angle\",\n        default=90,\n    )\n    res = FloatField(\n        label=\"Resolution (&deg;)\",\n        validators=[\n            DataRequired(),\n            NumberRange(min=1e-3, max=1, message=\"From %(min)s° to %(max)s°\"),\n        ],\n        description=\"Resolution in degrees\",\n        default=0.01,\n    )\n    profiles = [\n        (\"gaussian\", \"Gaussian\"),\n        (\"lorentzian\", \"Lorentzian\"),\n        (\"pseudo-voigt\", \"Pseudo-Voigt\"),\n        (\"mod_pseudo-voigt\", \"Modified pseudo-Voigt\"),\n    ]\n    method = SelectField(\n        label=\"Profiling Function\",\n        choices=profiles,\n        description=\"Applied to simulated XRD pattern\",\n    )\n    fwhm = FloatField(\n        label=\"FWHM\",\n        validators=[\n            DataRequired(),\n            NumberRange(min=1e-3, max=1, message=\"From %(min)s to %(max)s\"),\n        ],\n        description=\"Full width at half maximum\",\n        default=0.02,\n    )\n    u = FloatField(\n        label=\"<i>U</i>\",\n        validators=[\n            DataRequired(),\n            NumberRange(min=1e-3, max=1, message=\"From %(min)s to %(max)s\"),\n        ],\n        description=\"Parameter\",\n        default=5.776410e-03,\n    )\n    v = FloatField(\n        label=\"<i>V</i>\",\n        validators=[\n            DataRequired(),\n            NumberRange(min=-2.0e-03, max=-1.0e-03, message=\"%(min)s to %(max)s\"),\n        ],\n        description=\"Parameter\",\n        default=-1.673830e-03,\n    )\n    w = FloatField(\n        label=\"<i>W</i>\",\n        validators=[\n            DataRequired(),\n            NumberRange(min=1e-3, max=1, message=\"From %(min)s to %(max)s\"),\n        ],\n        description=\"Parameter\",\n        default=5.668770e-03,\n    )\n    a = FloatField(\n        label=\"<i>A</i>\",\n        validators=[\n            DataRequired(),\n            NumberRange(min=0.1, max=5, message=\"From %(min)s to %(max)s\"),\n        ],\n        description=\"Parameter\",\n        default=1.03944,\n    )\n    eta_h = FloatField(\n        label=\"<i>&eta;</i><sub>h</sub>\",\n        validators=[\n            DataRequired(),\n            NumberRange(min=0.1, max=1, message=\"From %(min)s to %(max)s\"),\n        ],\n        description=\"Parameter\",\n        default=0.504656,\n    )\n    eta_l = FloatField(\n        label=\"<i>&eta;</i><sub>l</sub>\",\n        validators=[\n            DataRequired(),\n            NumberRange(min=0.1, max=1, message=\"From %(min)s to %(max)s\"),\n        ],\n        description=\"Parameter\",\n        default=0.611844,\n    )\n    submit = SubmitField(\"Visualize\")\n\n    # Additional fields for comparison page\n    upload2 = FileField(\n        label=\"2<sup>nd</sup> Input File\", description=\"Second input to compare\"\n    )\n    shift = FloatField(\n        label=\"Shift (&deg;)\",\n        validators=[NumberRange(min=0, max=180, message=\"From %(min)s to %(max)s\")],\n        description=\"Shift for similarity\",\n        default=2.0,\n    )\n"
  },
  {
    "path": "flask/app/routes.py",
    "content": "import io\nimport os\nimport plotly.graph_objects as go\nfrom flask import render_template, flash, session, Markup\nfrom app import app\nfrom app.forms import MainForm\nfrom werkzeug.utils import secure_filename\nfrom pyxtal.XRD import XRD\nfrom pyxtal.XRD import Similarity\nfrom pyxtal import pyxtal\n# from ase.io import read\n\n\n@app.route(\"/\")\n@app.route(\"/index\")\ndef index():\n    return render_template(\"index.html\")\n\n\n@app.route(\"/individual\", methods=[\"GET\", \"POST\"])\ndef individual():\n    form = MainForm()\n    if form.validate_on_submit():\n        if form.upload.data:\n            process_upload(form)\n        if not session.get(\"SAVEPATH\"):  # new session\n            flash(\n                Markup(\n                    '<span class=\"glyphicon glyphicon-exclamation-sign\"\\\n                aria-hidden=\"true\"></span><span class=\"sr-only\">Error:</span>\\\n                Please upload an input file.'\n                ),\n                \"danger alert-dismissible\",\n            )\n            return render_template(\"individual.html\", title=\"Individual\", form=form)\n        else:\n            process_form(form)\n            return render_template(\n                \"individual.html\",\n                title=\"Individual\",\n                form=form,\n                jsmol=True,\n                plot=plot(),\n            )\n    # initial page visit\n    return render_template(\"individual.html\", title=\"Individual\", form=form)\n\n\n@app.route(\"/comparison\", methods=[\"GET\", \"POST\"])\ndef comparison():\n    form = MainForm()\n    if form.validate_on_submit():\n        if form.upload.data:\n            process_upload(form)\n        if form.upload2.data:\n            process_upload(form, True)\n        if not session.get(\"SAVEPATH\") or not session.get(\"SAVEPATH2\"):  # new session\n            flash(\n                Markup(\n                    '<span class=\"glyphicon glyphicon-exclamation-sign\"\\\n                aria-hidden=\"true\"></span><span class=\"sr-only\">Error:</span>\\\n                Please upload <strong>two (2)</strong> input files.'\n                ),\n                \"danger alert-dismissible\",\n            )\n            return render_template(\"comparison.html\", title=\"Comparison\", form=form)\n        else:\n            process_form(form, True)\n            return render_template(\n                \"comparison.html\",\n                title=\"Comparison\",\n                form=form,\n                jsmol=True,\n                plot=compare(),\n            )\n    # initial page visit\n    return render_template(\"comparison.html\", title=\"Comparison\", form=form)\n\n\n@app.route(\"/struct/<type>\")\ndef structure(type: str):\n    \"\"\"Return atomic structure as cif\"\"\"\n    # s = pyxtal()\n    # s.from_seed(session.get(\"SAVEPATH\"))\n    # struct = s.to_ase()\n    struct = read(session.get(\"SAVEPATH\"))\n\n    if type == \"cif\":\n        fd = io.BytesIO()\n        struct.write(fd, \"cif\")\n        return fd.getvalue(), 200, []\n    else:\n        return render_template(\"404.html\"), 404\n\n\n@app.route(\"/struct2/<type>\")\ndef structure2(type: str):\n    \"\"\"Return 2nd atomic structure as cif\"\"\"\n    struct2 = read(session.get(\"SAVEPATH2\"))\n    # s = pyxtal()\n    # s.from_seed(session.get(\"SAVEPATH2\"))\n    # struct2 = s.to_ase()\n\n    if type == \"cif\":\n        fd = io.BytesIO()\n        struct2.write(fd, \"cif\")\n        return fd.getvalue(), 200, []\n    else:\n        1 / 0  # force error for invalid URLs\n\n\ndef process_upload(form, comp=False):\n    \"\"\"\n    Save upload, check validity, and update session.\n    \"\"\"\n    # Save uploaded file to disk\n    if comp:\n        f = form.upload2.data\n    else:\n        f = form.upload.data\n    savepath = os.path.join(app.instance_path, \"uploads\", secure_filename(f.filename))\n    f.save(savepath)\n\n    # Check readability\n    try:\n        # read(savepath) # attempt ase.io.read\n\n        # Update session keys\n        if comp:\n            session[\"FILENAME2\"] = f.filename\n            session[\"SAVEPATH2\"] = savepath\n        else:\n            session[\"FILENAME\"] = f.filename\n            session[\"SAVEPATH\"] = savepath\n            flash(\n                Markup(\n                    '<span class=\"glyphicon glyphicon-ok-sign\"\\\n                aria-hidden=\"true\"></span><span class=\"sr-only\">Success:\\\n                </span> <strong>{}</strong> successfully processed.'\n                ).format(session.get(\"FILENAME\")),\n                \"success alert-dismissible\",\n            )\n    except:\n        flash(\n            Markup(\n                '<span class=\"glyphicon glyphicon-exclamation-sign\"\\\n            aria-hidden=\"true\"></span><span class=\"sr-only\">Error:</span> \\\n            Unable to read <strong>{}</strong>. Please try again or a \\\n            different file.'\n            ).format(f.filename),\n            \"danger alert-dismissible\",\n        )\n\n\ndef process_form(form, comp=True):\n    \"\"\"\n    Advanced form validation and session update.\n    \"\"\"\n    # Retrieve form data\n    max2theta = form.max2theta.data\n    min2theta = form.min2theta.data\n\n    # Advanced form-level validation\n    if min2theta > max2theta:\n        min2theta = 0  # use default\n        flash(\n            Markup(\n                '<span class=\"glyphicon glyphicon-warning-sign\"\\\n            aria-hidden=\"true\"></span><span class=\"sr-only\">Error:</span> \\\n            2<i>&theta;</i><sub>min</sub> <strong>greater</strong> than\\\n            2<i>&theta;</i><sub>max</sub>&mdash;defaulting\\\n            2<i>&theta;</i><sub>min</sub> to 0&deg;.'\n            ),\n            \"warning alert-dismissible\",\n        )\n\n    # Update session keys\n    session[\"WAVELENGTH\"] = form.wavelength.data\n    session[\"MIN2THETA\"] = min2theta\n    session[\"MAX2THETA\"] = max2theta\n    session[\"RES\"] = form.res.data\n    session[\"METHOD\"] = form.method.data\n    session[\"FWHM\"] = form.fwhm.data\n    session[\"U\"] = form.u.data\n    session[\"V\"] = form.v.data\n    session[\"W\"] = form.w.data\n    session[\"A\"] = form.a.data\n    session[\"ETA_H\"] = form.eta_h.data\n    session[\"ETA_L\"] = form.eta_l.data\n    if comp:\n        session[\"SHIFT\"] = form.shift.data\n\n\ndef plot():\n    \"\"\"\n    Process and return PXRD plotly.\n    \"\"\"\n    method = session.get(\"METHOD\")\n    if method == \"gaussian\" or method == \"lorentzian\" or method == \"pseudo-voigt\":\n        kwargs = {\"FWHM\": session.get(\"FWHM\")}\n    elif method == \"mod_pseudo-voigt\":\n        kwargs = {\n            \"U\": session.get(\"U\"),\n            \"V\": session.get(\"V\"),\n            \"W\": session.get(\"W\"),\n            \"A\": session.get(\"A\"),\n            \"eta_h\": session.get(\"ETA_H\"),\n            \"eta_l\": session.get(\"ETA_L\"),\n        }\n    struct = read(session.get(\"SAVEPATH\"))\n    xrd = XRD(\n        struct,\n        wavelength=session.get(\"WAVELENGTH\"),\n        thetas=[session.get(\"MIN2THETA\"), session.get(\"MAX2THETA\")],\n    )\n    xrd.get_profile(method=method, res=session.get(\"RES\"), user_kwargs=kwargs)\n    flash(\n        Markup(\n            '<span class=\"glyphicon glyphicon-info-sign\"\\\n            aria-hidden=\"true\"></span><span class=\"sr-only\">Error:</span> \\\n            Showing <strong>{}</strong> with <i>{}</i> profiling.'\n        ).format(session.get(\"FILENAME\"), method),\n        \"info\",\n    )\n    return xrd.plotly_pxrd(profile=method, height=450)\n\n\ndef compare():\n    \"\"\"\n    Process and return comparison PXRD plotly.\n    \"\"\"\n    method = session.get(\"METHOD\")\n    if method == \"gaussian\" or method == \"lorentzian\" or method == \"pseudo-voigt\":\n        kwargs = {\"FWHM\": session.get(\"FWHM\")}\n    elif method == \"mod_pseudo-voigt\":\n        kwargs = {\n            \"U\": session.get(\"U\"),\n            \"V\": session.get(\"V\"),\n            \"W\": session.get(\"W\"),\n            \"A\": session.get(\"A\"),\n            \"eta_h\": session.get(\"ETA_H\"),\n            \"eta_l\": session.get(\"ETA_L\"),\n        }\n    files = [session.get(\"FILENAME\"), session.get(\"FILENAME2\")]\n    structs = [read(session.get(\"SAVEPATH\")), read(session.get(\"SAVEPATH2\"))]\n    xrds = []\n\n    for struct in structs:\n        xrd = XRD(\n            struct,\n            wavelength=session.get(\"WAVELENGTH\"),\n            thetas=[session.get(\"MIN2THETA\"), session.get(\"MAX2THETA\")],\n        )\n        xrd.get_profile(method=method, res=session.get(\"RES\"), user_kwargs=kwargs)\n        xrds.append(xrd)\n\n    S = Similarity(xrds[0].get_profile(), xrds[1].get_profile(), l=session.get(\"SHIFT\"))\n\n    # S.calculate()\n    title = \"PXRD Similarity {:6.3f} with shift\\\n        {:6.3f}\".format(S.S, S.l)\n    traces = []\n\n    # for i, xrd in enumerate(xrds):\n    #    traces.append(go.Scatter(x=xrd.spectra[0], y=xrd.spectra[1], name=str(files[i])))\n    traces.append(go.Scatter(x=S.fx, y=S.fy, name=str(files[0])))\n    traces.append(go.Scatter(x=S.fx, y=-S.gy, name=str(files[1])))\n\n    fig = go.Figure(data=traces)\n    fig.update_layout(\n        height=450,\n        title_text=title,\n        title_x=0.5,\n        xaxis_title=\"2&#952; ({:.4f}\\\n        &#8491;)\".format(session.get(\"WAVELENGTH\")),\n        yaxis_title=\"Intensity\",\n    )\n    flash(\n        Markup(\n            '<span class=\"glyphicon glyphicon-info-sign\"\\\n            aria-hidden=\"true\"></span><span class=\"sr-only\">Error:</span> \\\n            Comparing <strong>{}</strong> and <strong>{}</strong> with\\\n            <i>{}</i> profiling.'\n        ).format(session.get(\"FILENAME\"), session.get(\"FILENAME2\"), method),\n        \"info\",\n    )\n    return fig.to_html()\n\n\ndef read(savepath):\n    s = pyxtal()\n    s.from_seed(savepath)\n    return s.to_ase()\n"
  },
  {
    "path": "flask/app/static/css/custom.css",
    "content": "::selection {\n  background:#b10202;\n  color:#fff;\n}\n.navbar {\n  min-height: 65px;\n  margin-bottom: 0px;\n}\n.navbar-nav {\n  padding-top: 8px;\n}\n.navbar-brand>img {\n  height: 33px;\n}\n.navbar-default .navbar-nav>li>a {\n  font-size: 14px;\n  font-weight: 600;\n  color: #222;\n}\n.navbar-default .navbar-nav>li>a:focus-within,\n.navbar-default .navbar-nav>li>a:focus,\n.navbar-default .navbar-nav>li>a:hover,\n.navbar-default .navbar-nav>li>a:active,\n.navbar-default .navbar-nav>li>a:active:focus {\n  font-size: 14px;\n  font-weight: 600;\n  color: #b10202;\n}\n.jumbotron {\n  background-image: url(\"/static/img/grid.jpg\");\n\n  /* Position and center the image to scale nicely on all screens */\n  background-position: center;\n  background-repeat: no-repeat;\n  background-size: cover;\n  position: relative;\n}\n.center {\n  display: block;\n  margin-left: auto;\n  margin-right: auto;\n  width: 80%;\n}\n.cta {\n  text-align: center;\n  padding-top: 40px;\n}\n.h1, .h2, .h3, .h4, .h5, .h6, h1, h2, h3, h4, h5, h6 {\n  color:#b10202;\n}\na {\n  color:#b10202;\n}\na:hover {\n  color:#222;\n}\n.form-control:focus {\n  border-color: #b10202;\n  box-shadow: inset 0 1px 1px rgba(0,0,0,.075), 0 0 8px rgba(226, 92, 92, 0.6);\n}\n.btn-primary {\n  background-color: #ca0202;\n  border-color: #ca0202;\n}\n.btn-primary:focus-within, .btn-primary:focus, .btn-primary:hover,\n.btn-primary:active, .btn-primary:active:focus {\n  background-color: #970202;\n  border-color: #970202;\n}\n.btn-link {\n  color: #b10202;\n}\n.btn-link:focus-within, .btn-link:focus, .btn-link:hover,\n.btn-link:active {\n  color:#222;\n}\n"
  },
  {
    "path": "flask/app/static/jsmol.js",
    "content": "var jmol;\nvar Info = {\n  color: \"0xFFFFFF\",\n  height: 400,\n  width: 550,\n  use: \"HTML5\",\n  allowJavaScript: false,\n  j2sPath: \"/static/jsmol/j2s\",\n  script: \"set displaycellparameters false; load struct/cif { 1 1 1 };\",\n  addSelectionOptions: false,\n  disableJ2SLoadMonitor: true,\n  disableInitialConsole: true,\n  debug: false,\n};\nvar jmol2;\nvar Info2 = {\n  color: \"0xFFFFFF\",\n  height: 400,\n  width: 550,\n  use: \"HTML5\",\n  allowJavaScript: false,\n  j2sPath: \"/static/jsmol/j2s\",\n  script: \"set displaycellparameters false; load struct2/cif { 1 1 1 };\",\n  addSelectionOptions: false,\n  disableJ2SLoadMonitor: true,\n  disableInitialConsole: true,\n  debug: false,\n};\n\nfunction repeatCell(n1, n2, n3, num) {\n  var s = '{ ' + n1.toString() + ' ' + n2.toString() + ' ' + n3.toString() + ' };';\n  if (num) Jmol.script(jmol2, 'load \"\" ' + s);\n  else Jmol.script(jmol, 'load \"\" ' + s);\n}\n\n$(document).ready(function() {\n  $(\"#appdiv\").html(Jmol.getAppletHtml(\"jmol\", Info));\n  $(\"#appdiv2\").html(Jmol.getAppletHtml(\"jmol2\", Info2));\n})\n"
  },
  {
    "path": "flask/app/templates/404.html",
    "content": "{% extends \"base.html\" %}\n\n{% block app_content %}\n    <h1>File not found</h1>\n    <p><a href=\"{{ url_for('index') }}\">Back</a></p>\n{% endblock %}"
  },
  {
    "path": "flask/app/templates/500.html",
    "content": "{% extends \"base.html\" %}\n\n{% block app_content %}\n    <h1>An unexpected error has occurred</h1>\n    <p>An administrator has been notified. We apologize for any inconvenience.</p>\n    <p><a href=\"{{ url_for('index') }}\">Back</a></p>\n{% endblock %}\n"
  },
  {
    "path": "flask/app/templates/_formhelpers.html",
    "content": "{% macro render_field(field, class) %}\n  {% if field.errors %}\n    <div class=\"form-group  {{ class }}  has-error required\">\n  {% else %}\n    <div class=\"form-group  {{ class }}  required\">\n  {% endif %}\n      <label class=\"control-label\">{{ field.label }}</label>\n      {{ field(class=\"form-control\")|safe }}\n  {% if field.errors %}\n      {% for error in field.errors %}\n        <p class=\"help-block\">{{ error }}</p>\n      {% endfor %}\n  {% else %}\n      <p class=\"help-block\">{{ field.description }}</p>\n  {% endif %}\n    </div>\n{% endmacro %}\n\n{% macro structure(num) %}\n  <div id=\"appdiv{{ num }}\"></div>\n  <div class=\"btn-group pull-left\">\n    <button type=\"button\" class=\"btn btn-link dropdown-toggle btn-sm\" data-toggle=\"dropdown\">\n      Unit cell <span class=\"caret\"></span>\n    </button>\n    <ul class=\"dropdown-menu\">\n      <li><a onclick=\"repeatCell(1, 1, 1, {{ num }});\">1x1x1</a></li>\n      <li><a onclick=\"repeatCell(2, 2, 2, {{ num }});\">2x2x2</a></li>\n    </ul>\n  </div>\n{% endmacro %}\n"
  },
  {
    "path": "flask/app/templates/base.html",
    "content": "<head>\n  <link rel=\"shortcut icon\"\n    href=\"{{ url_for('static', filename='img/favicon.ico') }}\">\n</head>\n{% extends 'bootstrap/base.html' %}\n\n{% block title %}\n  {% if title %}\n    {{ title }} - VXRD\n  {% else %}\n    VXRD\n  {% endif %}\n{% endblock %}\n\n{% block navbar %}\n  <link rel=\"stylesheet\" type=\"text/css\"\n    href=\"{{ url_for('static', filename='css/custom.css') }}\">\n  <nav class=\"navbar navbar-default\">\n    <div class=\"container\">\n      <div class=\"navbar-header\">\n        <button type=\"button\" class=\"navbar-toggle collapsed\"\n          data-toggle=\"collapse\" data-target=\"#bs-example-navbar-collapse-1\"\n          aria-expanded=\"false\">\n            <span class=\"sr-only\">Toggle navigation</span>\n            <span class=\"icon-bar\"></span>\n            <span class=\"icon-bar\"></span>\n            <span class=\"icon-bar\"></span>\n        </button>\n        <a class=\"navbar-brand\" href=\"{{ url_for('index') }}\">\n          <img src=\"{{ url_for('static', filename='img/brand.png') }}\">\n        </a>\n      </div>\n      <div class=\"collapse navbar-collapse\" id=\"bs-example-navbar-collapse-1\">\n        <ul class=\"nav navbar-nav\">\n          <li><a href=\"{{ url_for('individual') }}\">Individual</a></li>\n          <li><a href=\"{{ url_for('comparison') }}\">Comparison</a></li>\n          <li>\n            <a href=\"https://github.com/qzhu2017/PyXtal\" target=\"_blank\">GitHub</a>\n          </li>\n        </ul>\n      </div>\n    </div>\n  </nav>\n{% endblock %}\n\n{% block content %}\n  <!-- BEGIN JSmol IMPORTS -->\n  <script src=\"{{ url_for('static', filename='jsmol/JSmol.min.js') }}\"></script>\n  <script src=\"{{ url_for('static', filename='jsmol.js') }}\"></script>\n  <!-- END JSmol IMPORTS -->\n\n  <!-- BEGIN PROFILE HIDE/SHOW -->\n  <script>\n    $(document).ready(function() {\n      $('#method').change(function() {\n        if ($(this).val() === 'gaussian' || $(this).val() === 'lorentzian'\n          || $(this).val() === 'pseudo-voigt') {\n            $('.glpv').show();\n            $('.modpv').hide();\n        }\n        if ($(this).val() === 'mod_pseudo-voigt') {\n          $('.glpv').hide();\n          $('.modpv').show();\n        }\n      }).change(); // will trigger when DOM is ready\n    })\n  </script>\n  <!-- END PROFILE HIDE/SHOW -->\n\n  <script src=\"https://ajax.googleapis.com/ajax/libs/jquery/3.4.1/jquery.min.js\">\n  </script>\n  {# special full-width block for homepage jumbotron #}\n  {% block splash %}{% endblock %}\n  <div class=\"container\">\n    <!-- BEGIN PROGRESS BAR -->\n    {% if progress %}\n      <div class=\"progress\">\n        <div class=\"progress-bar progress-bar-danger progress-bar-striped active\"\n          role=\"progressbar\" aria-valuenow=\"{{ progress }}\" aria-valuemin=\"0\"\n          aria-valuemax=\"100\" style=\"min-width: 2em; width: {{ progress }}%;\">\n          {{ progress }}%\n        </div>\n      </div>\n    {% endif %}\n    <!-- END PROGRESS BAR -->\n    <!-- BEGIN ALERTS -->\n    {% with messages = get_flashed_messages(with_categories=true) %}\n    {% if messages %}\n      {% for category, message in messages %}\n        <div class=\"alert alert-{{ category }}\" role=\"alert\">\n          {% if 'success alert-dismissible' == category\n            or 'danger alert-dismissible' == category\n            or 'warning alert-dismissible' == category %}\n          <button type=\"button\" class=\"close\" data-dismiss=\"alert\"\n            aria-label=\"Close\">\n            <span aria-hidden=\"true\">&times;</span>\n          </button>\n          {% endif %}\n          {{ message }}\n        </div>\n      {% endfor %}\n    {% endif %}\n    {% endwith %}\n    <!-- END ALERTS -->\n\n    {# application content needs to be provided in the app_content block #}\n    {% block app_content %}{% endblock %}\n  </div>\n\n  <footer>\n    <p style=\"text-align: center;\">\n      &copy; \n      <script>\n        document.write(new Date().getFullYear())\n      </script>\n      Stanley A. Baronett & Qiang Zhu\n    </p>\n  </footer>\n{% endblock %}\n"
  },
  {
    "path": "flask/app/templates/comparison.html",
    "content": "{% extends \"base.html\" %}\n{% import 'bootstrap/wtf.html' as wtf %}\n{% from \"_formhelpers.html\" import render_field, structure %}\n\n{% block app_content %}\n  <h1>Comparison</h1>\n  <div class=\"row\">\n    <form class=\"form\" method=\"post\" enctype=\"multipart/form-data\" role=\"form\">\n      {{ form.hidden_tag() }}\n      {{ wtf.form_errors(form, hiddens=\"only\") }}\n      <div class=\"col-md-3\">\n        {{ wtf.form_field(form.upload) }}\n        {{ wtf.form_field(form.upload2) }}\n        {{ wtf.form_field(form.wavelength) }}\n        {{ wtf.form_field(form.res) }}\n        <table>\n          <tr>\n            <td>{{ wtf.form_field(form.min2theta) }}</td>\n            <td>{{ wtf.form_field(form.max2theta) }}</td>\n          </tr>            \n        </table>                    \n        {{ wtf.form_field(form.submit, button_map={'submit': 'primary'}) }}\n      </div>\n      <div class=\"col-md-3\">\n        {{ wtf.form_field(form.shift) }}\n        {{ render_field(form.method) }}\n        {{ render_field(form.fwhm, \"glpv\") }}\n        <table>\n          <tr>\n            <td>{{ render_field(form.u, \"modpv\") }}</td>\n            <td>{{ render_field(form.v, \"modpv\") }}</td>\n          </tr>\n          <tr>\n            <td>{{ render_field(form.w, \"modpv\") }}</td>\n            <td>{{ render_field(form.a, \"modpv\") }}</td>\n          </tr>\n          <tr>\n            <td>{{ render_field(form.eta_h, \"modpv\") }}</td>\n            <td>{{ render_field(form.eta_l, \"modpv\") }}</td>\n          </tr>\n        </table>\n      </div>\n      <div class=\"col-md-6\">\n        {% if jsmol %}\n          {{ structure() }}\n        {% endif %}\n      </div>\n    </form>\n  </div>\n  <div class=\"row\">\n    <div class=\"col-md-6\">\n      {% if plot %}\n        {{ plot|safe }}\n      {% endif %}\n    </div>\n    <div class=\"col-md-6\">\n      {% if jsmol %}\n        {{ structure(2) }}\n      {% endif %}\n    </div>\n  </div>\n{% endblock %}\n"
  },
  {
    "path": "flask/app/templates/index.html",
    "content": "{% extends \"base.html\" %}\n{% import 'bootstrap/wtf.html' as wtf %}\n\n{% block splash %}\n<div class=\"jumbotron\" title=\"Image by Magic Creative from Pixabay\">\n  <div class=\"container\">\n    <img src=\"{{ url_for('static', filename='img/logo.png') }}\"\n      alt=\"VXRD: Virtual X-Ray Diffraction\" class=\"center\">\n    <div class=\"cta\">\n      <a class=\"btn btn-primary btn-lg\" href=\"{{ url_for('individual') }}\"\n        role=\"button\">\n        <span class=\"glyphicon glyphicon-chevron-left\" aria-hidden=\"true\">\n        </span> Individual\n      </a>\n      <a class=\"btn btn-primary btn-lg\" href=\"{{ url_for('comparison') }}\"\n        role=\"button\">\n        Comparison \n        <span class=\"glyphicon glyphicon-chevron-right\"\n          aria-hidden=\"true\"></span>\n      </a>\n    </div>\n  </div>\n</div>\n{% endblock %}\n\n{% block app_content %}\n{% endblock %}\n"
  },
  {
    "path": "flask/app/templates/individual.html",
    "content": "{% extends \"base.html\" %}\n{% import 'bootstrap/wtf.html' as wtf %}\n{% from \"_formhelpers.html\" import render_field, structure %}\n\n{% block app_content %}\n  <h1>Individual</h1>\n  <div class=\"row\">\n    <form class=\"form\" method=\"post\" enctype=\"multipart/form-data\" role=\"form\">\n      {{ form.hidden_tag() }}\n      {{ wtf.form_errors(form, hiddens=\"only\") }}\n      <div class=\"col-lg-3\">\n        {{ wtf.form_field(form.upload) }}\n        {{ wtf.form_field(form.wavelength) }}\n        {{ wtf.form_field(form.res) }}\n        <table>\n          <tr>\n            <td>{{ wtf.form_field(form.min2theta) }}</td>\n            <td>{{ wtf.form_field(form.max2theta) }}</td>\n          </tr>        \n        </table>              \n        {{ wtf.form_field(form.submit, button_map={'submit': 'primary'}) }}\n      </div>\n      <div class=\"col-lg-3\">          \n        {{ render_field(form.method) }}\n        {{ render_field(form.fwhm, \"glpv\") }}\n        <table>\n          <tr>\n            <td>{{ render_field(form.u, \"modpv\") }}</td>\n            <td>{{ render_field(form.v, \"modpv\") }}</td>\n          </tr>\n          <tr>\n            <td>{{ render_field(form.w, \"modpv\") }}</td>\n            <td>{{ render_field(form.a, \"modpv\") }}</td>\n          </tr>\n          <tr>\n            <td>{{ render_field(form.eta_h, \"modpv\") }}</td>\n            <td>{{ render_field(form.eta_l, \"modpv\") }}</td>\n          </tr>\n        </table>\n      </div>\n      <div class=\"col-lg-6\">\n        {% if jsmol %}\n          {{ structure() }}\n        {% endif %}\n      </div>\n    </form>\n  </div>\n  <div class=\"row\">\n    <div class=\"col-lg-12\">\n      {% if plot %}\n        {{ plot|safe }}\n      {% endif %}\n    </div>\n  </div>\n{% endblock %}\n"
  },
  {
    "path": "flask/app/templates/scratch.html",
    "content": "<link rel=\"shortcut icon\"\nhref=\"{{ url_for('static', filename='img/navlogo.ico') }}\">\n\n.navbar {\n  min-height: 50px;\n}\n\n<div class=\"form-group \">\n  <label class=\"control-label\" for=\"method\">{{ form.method.label }}</label>\n  {{ form.method(class=\"form-control\") }}\n  <p class=\"help-block\">{{ form.method.description }}</p>\n</div>\n<div class=\"form-group  required\">\n  <label class=\"control-label\" id=\"fwhm-label\" for=\"fwhm\">{{ form.fwhm.label }}</label>\n  {{ form.fwhm(class=\"form-control\") }}\n  <p class=\"help-block\" id=\"fwhm-help\">{{ form.fwhm.description }}</p>\n</div>\n<div class=\"form-group  required\">\n  <label class=\"control-label\" id=\"u-label\" for=\"u\" style=\"display: none;\">{{ form.u.label }}</label>\n  {{ form.u(class=\"form-control\", style=\"display: none;\") }}\n  <p class=\"help-block\" id=\"u-help\" style=\"display: none;\">{{ form.u.description }}</p>\n</div>\n<div class=\"form-group  required\">\n  <label class=\"control-label\" id=\"v-label\" for=\"v\" style=\"display: none;\">{{ form.v.label }}</label>\n  {{ form.v(class=\"form-control\", style=\"display: none;\") }}\n  <p class=\"help-block\" id=\"v-help\" style=\"display: none;\">{{ form.v.description }}</p>\n</div>\n<div class=\"form-group  required\">\n  <label class=\"control-label\" id=\"w-label\" for=\"w\" style=\"display: none;\">{{ form.w.label }}</label>\n  {{ form.w(class=\"form-control\", style=\"display: none;\") }}\n  <p class=\"help-block\" id=\"w-help\" style=\"display: none;\">{{ form.w.description }}</p>\n</div>\n<div class=\"form-group  required\">\n  <label class=\"control-label\" id=\"a-label\" for=\"a\" style=\"display: none;\">{{ form.a.label }}</label>\n    {{ form.a(class=\"form-control\", style=\"display: none;\") }}\n    <p class=\"help-block\" id=\"a-help\" style=\"display: none;\">{{ form.a.description }}</p>\n</div>\n<div class=\"form-group  required\">\n  <label class=\"control-label\" id=\"eta_h-label\" for=\"eta_h\" style=\"display: none;\">{{ form.eta_h.label }}</label>\n  {{ form.eta_h(class=\"form-control\", style=\"display: none;\") }}\n  <p class=\"help-block\" id=\"eta_h-help\" style=\"display: none;\">{{ form.eta_h.description }}</p>\n</div>\n<div class=\"form-group  required\">\n  <label class=\"control-label\" id=\"eta_l-label\" for=\"eta_l\" style=\"display: none;\">{{ form.eta_l.label }}</label>\n  {{ form.eta_l(class=\"form-control\", style=\"display: none;\") }}\n  <p class=\"help-block\" id=\"eta_l-help\" style=\"display: none;\">{{ form.eta_l.description }}</p>\n</div>\n\n$('#fwhm-label').show();\n$('#fwhm').show();\n$('#fwhm-help').show();\n$('#u-label').hide();\n$('#u').hide();\n$('#u-help').hide();\n$('#v-label').hide();\n$('#v').hide();\n$('#v-help').hide();\n$('#w-label').hide();\n$('#w').hide();\n$('#w-help').hide();\n$('#a-label').hide();\n$('#a').hide();\n$('#a-help').hide();\n$('#eta_h-label').hide();\n$('#eta_h').hide();\n$('#eta_h-help').hide();\n$('#eta_l-label').hide();\n$('#eta_l').hide();\n$('#eta_l-help').hide();\n\n$('#fwhm-label').hide();\n$('#fwhm').hide();\n$('#fwhm-help').hide();\n$('#u-label').show();\n$('#u').show();\n$('#u-help').show();\n$('#v-label').show();\n$('#v').show();\n$('#v-help').show();\n$('#w-label').show();\n$('#w').show();\n$('#w-help').show();\n$('#a-label').show();\n$('#a').show();\n$('#a-help').show();\n$('#eta_h-label').show();\n$('#eta_h').show();\n$('#eta_h-help').show();\n$('#eta_l-label').show();\n$('#eta_l').show();\n$('#eta_l-help').show();\n\n\nvar Info = {\n  width: 550,\n  height: 400,\n  debug: false,\n  color: \"0xFFFFFF\",\n  addSelectionOptions: false,\n  use: \"HTML5\",\n  j2sPath: \"/static/jsmol/j2s\",\n  readyFunction: jmol_isReady,\n  disableJ2SLoadMonitor: true,\n  disableInitialConsole: true,\n  allowJavaScript: false\n};\n\n<script>\n  jmol_isReady = function(applet) {\n    Jmol._getElement(applet, \"appletdiv\").style.border=\"1px solid lightgray\";\n    Jmol.script(jmolApplet0, \"set displaycellparameters false;\");\n    Jmol.script(jmolApplet0, \"load struct/cif { 1 1 1 };\");\n  }\n</script>\n"
  },
  {
    "path": "flask/config.py",
    "content": "import os\n\n\nclass Config:\n    SECRET_KEY = os.environ.get(\"SECRET_KEY\")\n\n    MAIL_SERVER = os.environ.get(\"MAIL_SERVER\")\n    MAIL_PORT = int(os.environ.get(\"MAIL_PORT\") or 25)\n    MAIL_USE_TLS = os.environ.get(\"MAIL_USE_TLS\") is not None\n    MAIL_USERNAME = os.environ.get(\"MAIL_USERNAME\")\n    MAIL_PASSWORD = os.environ.get(\"MAIL_PASSWORD\")\n    ADMINS = [\"vxrd.info@gmail.com\"]\n"
  },
  {
    "path": "flask/instance/uploads/C1-POSCAR",
    "content": "Al4 Si4 O18\n1.0\n4.982933 0.000000 -1.322318\n-0.041668 8.940766 -0.265359\n0.000000 0.000000 7.404800\nAl Si O\n4 4 18\ndirect\n0.297100 0.495700 0.472100 Al\n0.797100 0.995700 0.472100 Al\n0.792600 0.330000 0.469900 Al\n0.292600 0.830000 0.469900 Al\n0.994200 0.339300 0.090900 Si\n0.494200 0.839300 0.090900 Si\n0.506400 0.166500 0.091300 Si\n0.006400 0.666500 0.091300 Si\n0.050100 0.353900 0.317000 O\n0.550100 0.853900 0.317000 O\n0.121400 0.660400 0.317500 O\n0.621400 0.160400 0.317500 O\n0.000000 0.500000 0.000000 O\n0.500000 0.000000 0.000000 O\n0.208500 0.230500 0.024700 O\n0.708500 0.730500 0.024700 O\n0.201200 0.765700 0.003200 O\n0.701200 0.265700 0.003200 O\n0.051000 0.969800 0.322000 O\n0.551000 0.469800 0.322000 O\n0.964900 0.166500 0.605100 O\n0.464900 0.666500 0.605100 O\n0.034800 0.476900 0.608000 O\n0.534800 0.976900 0.608000 O\n0.033400 0.857000 0.609400 O\n0.533400 0.357000 0.609400 O\n"
  },
  {
    "path": "flask/instance/uploads/NaCl-POSCAR",
    "content": "Na4 Cl4\n1.0\n5.691694 0.000000 0.000000\n0.000000 5.691694 0.000000\n0.000000 0.000000 5.691694\nNa Cl\n4 4\ndirect\n0.000000 0.000000 0.000000 Na\n0.000000 0.500000 0.500000 Na\n0.500000 0.000000 0.500000 Na\n0.500000 0.500000 0.000000 Na\n0.000000 0.500000 0.000000 Cl\n0.000000 0.000000 0.500000 Cl\n0.500000 0.500000 0.500000 Cl\n0.500000 0.000000 0.000000 Cl\n"
  },
  {
    "path": "flask/instance/uploads/NaCl.cif",
    "content": "#------------------------------------------------------------------------------\n#$Date: 2015-01-27 21:58:39 +0200 (Tue, 27 Jan 2015) $\n#$Revision: 130149 $\n#$URL: svn://www.crystallography.net/cod/cif/1/00/00/1000041.cif $\n#------------------------------------------------------------------------------\n#\n# This file is available in the Crystallography Open Database (COD),\n# http://www.crystallography.net/\n#\n# All data on this site have been placed in the public domain by the\n# contributors.\n#\ndata_1000041\nloop_\n_publ_author_name\n'Abrahams, S C'\n'Bernstein, J L'\n_publ_section_title\n;\nAccuracy of an automatic diffractometer. measurement of the sodium\nchloride structure factors\n;\n_journal_coden_ASTM              ACCRA9\n_journal_name_full               'Acta Crystallographica (1,1948-23,1967)'\n_journal_page_first              926\n_journal_page_last               932\n_journal_paper_doi               10.1107/S0365110X65002244\n_journal_volume                  18\n_journal_year                    1965\n_chemical_formula_structural     'Na Cl'\n_chemical_formula_sum            'Cl Na'\n_chemical_name_systematic        'Sodium chloride'\n_space_group_IT_number           225\n_symmetry_cell_setting           cubic\n_symmetry_Int_Tables_number      225\n_symmetry_space_group_name_Hall  '-F 4 2 3'\n_symmetry_space_group_name_H-M   'F m -3 m'\n_cell_angle_alpha                90\n_cell_angle_beta                 90\n_cell_angle_gamma                90\n_cell_formula_units_Z            4\n_cell_length_a                   5.64167\n_cell_length_b                   5.64167\n_cell_length_c                   5.64167\n_cell_volume                     177.5\n_refine_ls_R_factor_all          0.022\n_cod_database_code               1000041\nloop_\n_symmetry_equiv_pos_as_xyz\nx,y,z\ny,z,x\nz,x,y\nx,z,y\ny,x,z\nz,y,x\nx,-y,-z\ny,-z,-x\nz,-x,-y\nx,-z,-y\ny,-x,-z\nz,-y,-x\n-x,y,-z\n-y,z,-x\n-z,x,-y\n-x,z,-y\n-y,x,-z\n-z,y,-x\n-x,-y,z\n-y,-z,x\n-z,-x,y\n-x,-z,y\n-y,-x,z\n-z,-y,x\n-x,-y,-z\n-y,-z,-x\n-z,-x,-y\n-x,-z,-y\n-y,-x,-z\n-z,-y,-x\n-x,y,z\n-y,z,x\n-z,x,y\n-x,z,y\n-y,x,z\n-z,y,x\nx,-y,z\ny,-z,x\nz,-x,y\nx,-z,y\ny,-x,z\nz,-y,x\nx,y,-z\ny,z,-x\nz,x,-y\nx,z,-y\ny,x,-z\nz,y,-x\nx,1/2+y,1/2+z\n1/2+x,y,1/2+z\n1/2+x,1/2+y,z\ny,1/2+z,1/2+x\n1/2+y,z,1/2+x\n1/2+y,1/2+z,x\nz,1/2+x,1/2+y\n1/2+z,x,1/2+y\n1/2+z,1/2+x,y\nx,1/2+z,1/2+y\n1/2+x,z,1/2+y\n1/2+x,1/2+z,y\ny,1/2+x,1/2+z\n1/2+y,x,1/2+z\n1/2+y,1/2+x,z\nz,1/2+y,1/2+x\n1/2+z,y,1/2+x\n1/2+z,1/2+y,x\nx,1/2-y,1/2-z\n1/2+x,-y,1/2-z\n1/2+x,1/2-y,-z\ny,1/2-z,1/2-x\n1/2+y,-z,1/2-x\n1/2+y,1/2-z,-x\nz,1/2-x,1/2-y\n1/2+z,-x,1/2-y\n1/2+z,1/2-x,-y\nx,1/2-z,1/2-y\n1/2+x,-z,1/2-y\n1/2+x,1/2-z,-y\ny,1/2-x,1/2-z\n1/2+y,-x,1/2-z\n1/2+y,1/2-x,-z\nz,1/2-y,1/2-x\n1/2+z,-y,1/2-x\n1/2+z,1/2-y,-x\n-x,1/2+y,1/2-z\n1/2-x,y,1/2-z\n1/2-x,1/2+y,-z\n-y,1/2+z,1/2-x\n1/2-y,z,1/2-x\n1/2-y,1/2+z,-x\n-z,1/2+x,1/2-y\n1/2-z,x,1/2-y\n1/2-z,1/2+x,-y\n-x,1/2+z,1/2-y\n1/2-x,z,1/2-y\n1/2-x,1/2+z,-y\n-y,1/2+x,1/2-z\n1/2-y,x,1/2-z\n1/2-y,1/2+x,-z\n-z,1/2+y,1/2-x\n1/2-z,y,1/2-x\n1/2-z,1/2+y,-x\n-x,1/2-y,1/2+z\n1/2-x,-y,1/2+z\n1/2-x,1/2-y,z\n-y,1/2-z,1/2+x\n1/2-y,-z,1/2+x\n1/2-y,1/2-z,x\n-z,1/2-x,1/2+y\n1/2-z,-x,1/2+y\n1/2-z,1/2-x,y\n-x,1/2-z,1/2+y\n1/2-x,-z,1/2+y\n1/2-x,1/2-z,y\n-y,1/2-x,1/2+z\n1/2-y,-x,1/2+z\n1/2-y,1/2-x,z\n-z,1/2-y,1/2+x\n1/2-z,-y,1/2+x\n1/2-z,1/2-y,x\n-x,1/2-y,1/2-z\n1/2-x,-y,1/2-z\n1/2-x,1/2-y,-z\n-y,1/2-z,1/2-x\n1/2-y,-z,1/2-x\n1/2-y,1/2-z,-x\n-z,1/2-x,1/2-y\n1/2-z,-x,1/2-y\n1/2-z,1/2-x,-y\n-x,1/2-z,1/2-y\n1/2-x,-z,1/2-y\n1/2-x,1/2-z,-y\n-y,1/2-x,1/2-z\n1/2-y,-x,1/2-z\n1/2-y,1/2-x,-z\n-z,1/2-y,1/2-x\n1/2-z,-y,1/2-x\n1/2-z,1/2-y,-x\n-x,1/2+y,1/2+z\n1/2-x,y,1/2+z\n1/2-x,1/2+y,z\n-y,1/2+z,1/2+x\n1/2-y,z,1/2+x\n1/2-y,1/2+z,x\n-z,1/2+x,1/2+y\n1/2-z,x,1/2+y\n1/2-z,1/2+x,y\n-x,1/2+z,1/2+y\n1/2-x,z,1/2+y\n1/2-x,1/2+z,y\n-y,1/2+x,1/2+z\n1/2-y,x,1/2+z\n1/2-y,1/2+x,z\n-z,1/2+y,1/2+x\n1/2-z,y,1/2+x\n1/2-z,1/2+y,x\nx,1/2-y,1/2+z\n1/2+x,-y,1/2+z\n1/2+x,1/2-y,z\ny,1/2-z,1/2+x\n1/2+y,-z,1/2+x\n1/2+y,1/2-z,x\nz,1/2-x,1/2+y\n1/2+z,-x,1/2+y\n1/2+z,1/2-x,y\nx,1/2-z,1/2+y\n1/2+x,-z,1/2+y\n1/2+x,1/2-z,y\ny,1/2-x,1/2+z\n1/2+y,-x,1/2+z\n1/2+y,1/2-x,z\nz,1/2-y,1/2+x\n1/2+z,-y,1/2+x\n1/2+z,1/2-y,x\nx,1/2+y,1/2-z\n1/2+x,y,1/2-z\n1/2+x,1/2+y,-z\ny,1/2+z,1/2-x\n1/2+y,z,1/2-x\n1/2+y,1/2+z,-x\nz,1/2+x,1/2-y\n1/2+z,x,1/2-y\n1/2+z,1/2+x,-y\nx,1/2+z,1/2-y\n1/2+x,z,1/2-y\n1/2+x,1/2+z,-y\ny,1/2+x,1/2-z\n1/2+y,x,1/2-z\n1/2+y,1/2+x,-z\nz,1/2+y,1/2-x\n1/2+z,y,1/2-x\n1/2+z,1/2+y,-x\nloop_\n_atom_site_label\n_atom_site_type_symbol\n_atom_site_symmetry_multiplicity\n_atom_site_Wyckoff_symbol\n_atom_site_fract_x\n_atom_site_fract_y\n_atom_site_fract_z\n_atom_site_occupancy\n_atom_site_attached_hydrogens\n_atom_site_calc_flag\nNa1 Na1+ 4 a 0. 0. 0. 1. 0 d\nCl1 Cl1- 4 b 0.5 0.5 0.5 1. 0 d\nloop_\n_atom_type_symbol\n_atom_type_oxidation_number\nNa1+ 1.000\nCl1- -1.000\n"
  },
  {
    "path": "flask/instance/uploads/R3c-POSCAR",
    "content": "Fe2 O6\n1.0\n4.463163 0.000000 3.092746\n1.619599 4.158933 3.092746\n0.000000 0.000000 5.430000\nFe O\n2 6\ndirect\n0.105000 0.105000 0.105000 Fe\n0.605000 0.605000 0.605000 Fe\n0.292000 0.708000 0.000000 O\n0.792000 0.500000 0.208000 O\n0.000000 0.292000 0.708000 O\n0.208000 0.792000 0.500000 O\n0.708000 0.000000 0.292000 O\n0.500000 0.208000 0.792000 O\n"
  },
  {
    "path": "flask/instance/uploads/fail_test.txt",
    "content": ""
  },
  {
    "path": "flask/requirements.txt",
    "content": "click==7.1.2\nFlask==3.1.3\nFlask-Bootstrap==3.3.7.1\nFlask-Uploads==0.2.1\nFlask-WTF==0.15.1\nitsdangerous==1.1.0\nJinja2==3.1.6\nMarkupSafe==2.0.1\npython-dotenv==0.17.1\nvisitor==0.1.3\nWerkzeug==3.1.6\nWTForms==2.2.1\n"
  },
  {
    "path": "flask/vxrd.py",
    "content": "from app import app\n"
  },
  {
    "path": "images/Logo license.txt",
    "content": "This logo design created by Dee-y (https://github.com/dee-y) is licensed under a Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/)"
  },
  {
    "path": "pyproject.toml",
    "content": "[tool.mypy]\nno_implicit_optional = false\n\n[tool.ruff]\ntarget-version = \"py39\"\nline-length = 120\ninclude = [\"**/pyproject.toml\", \"*.ipynb\", \"*.py\", \"*.pyi\"]\nlint.select = [\n  \"C4\",   # flake8-comprehensions\n  \"E\",    # pycodestyle error\n  \"F\",    # pyflakes\n  \"FA\",   # flake8-future-annotations\n  \"FLY\",  # flynt\n  \"I\",    # isort\n  \"ICN\",  # flake8-import-conventions\n  \"ISC\",  # flake8-implicit-str-concat\n  \"PD\",   # pandas-vet\n  \"PERF\", # perflint\n  \"PIE\",  # flake8-pie\n  \"PL\",   # pylint\n  \"PT\",   # flake8-pytest-style\n  \"PYI\",  # flakes8-pyi\n  \"Q\",    # flake8-quotes\n  \"RET\",  # flake8-return\n  \"RSE\",  # flake8-raise\n  \"RUF\",  # Ruff-specific rules\n  \"SIM\",  # flake8-simplify\n  \"SLOT\", # flake8-slots\n  \"TCH\",  # flake8-type-checking\n  \"TID\",  # tidy imports\n  \"TID\",  # flake8-tidy-imports\n  \"UP\",   # pyupgrade\n  \"W\",    # pycodestyle warning\n  \"YTT\",  # flake8-2020\n]\nlint.ignore = [\n  \"C408\",  # Unnecessary dict call - rewrite as a literal\n  \"E731\",  # Do not assign a lambda expression, use a def\n  \"PD901\", # pandas-df-variable-name\n  \"PLR\",   # pylint refactor\n  \"PT006\", # pytest-parametrize-names-wrong-type\n  \"E741\",  # ambiguous variable name -- turn off due to miller indices h, k, l\n  \"E722\",  # do not use bare 'except' -- should be fixed but too much tech debt to fix now\n  \"RET505\",  # Unnecessary else after return\n  \"SIM300\",  # Yoda conditions are not allowed\n  \"PLW2901\", # loop variable is overwritten\n]\nlint.pydocstyle.convention = \"google\"\nlint.isort.known-third-party = [\"wandb\"]\n"
  },
  {
    "path": "pyxtal/XRD.py",
    "content": "\"\"\"\nModule for XRD simulation\n\"\"\"\n\nimport collections\nimport importlib.resources\nimport os\n\nimport numpy as np\nfrom monty.serialization import loadfn\nfrom scipy.interpolate import interp1d\nfrom scipy.special import erf, wofz\nfrom pyxtal.database.element import Element\n\nwith importlib.resources.as_file(\n    importlib.resources.files(\"pyxtal\") / \"database\" / \"atomic_scattering_params.json\"\n) as path:\n    ATOMIC_SCATTERING_PARAMS = loadfn(path)\n\n\nclass XRD:\n    \"\"\"\n    A class to compute the powder XRD.\n\n    Args:\n        crystal: ase atoms object\n        wavelength (float): wavelength of the X-ray in Angstrom (default: 1.54184)\n        thetas (list): list of 2theta angles in degrees (default: [0, 180])\n        res (float): resolution of the XRD in degrees (default: 0.01)\n        per_N (int): number of hkl per process (default: 30000)\n        ncpu: int, number of cpu to use (default: 1)\n        preferred_orientation: boolean, whether to use preferred orientation\n        march_parameter: float, the march parameter for preferred orientation\n        TWO_THETA_TOL: tolerance to find repeating angles\n        SCALED_INTENSITY_TOL: threshold for intensities\n    \"\"\"\n\n    def __init__(\n        self,\n        crystal,\n        wavelength=1.54184,\n        thetas=[0, 180],\n        res=0.01,\n        per_N=30000,\n        ncpu=1,\n        filename=None,\n        preferred_orientation=False,\n        march_parameter=None,\n        TWO_THETA_TOL=1e-5,\n        SCALED_INTENSITY_TOL=1e-5,\n    ):\n\n        self.res = np.radians(res)\n        if filename is None:\n            self.wavelength = wavelength\n            self.min2theta = np.radians(thetas[0])\n            self.max2theta = np.radians(thetas[1])\n            self.per_N = per_N\n            self.ncpu = ncpu\n            self.name = crystal.get_chemical_formula()\n            self.preferred_orientation = preferred_orientation\n            self.debye_waller_factor = 1.0  # default no debye waller factor\n            self.march_parameter = march_parameter\n            self.SCALED_INTENSITY_TOL = SCALED_INTENSITY_TOL\n            self.TWO_THETA_TOL = TWO_THETA_TOL\n            self.all_dhkl(crystal)\n            self.skip_hkl = self.intensity(crystal)\n            self.pxrdf()\n        else:\n            self.load(filename)\n\n    def save(self, filename):\n        \"\"\"\n        savetxt file\n        \"\"\"\n        header = f\"wavelength/thetas {self.wavelength:12.6f} {np.degrees(self.min2theta):6.2f} {np.degrees(self.max2theta):6.2f}\"\n        np.savetxt(filename, self.pxrd, header=header)\n\n    def load(self, filename):\n        \"\"\"\n        Load the pxrd from txt file\n        \"\"\"\n        fp = open(filename)\n        tmp = fp.readline()\n        res = tmp.split()[2:]\n        self.wavelength = float(res[0])\n        self.min2theta = np.radians(float(res[1]))\n        self.max2theta = np.radians(float(res[2]))\n\n        pxrd = np.loadtxt(filename)\n        self.theta2 = pxrd[:, 0]\n        self.d_hkls = pxrd[:, 1]\n        self.xrd_intensity = pxrd[:, -1]\n        hkl_labels = []\n        for i in range(len(pxrd)):\n            h, k, l = int(pxrd[i, 2]), int(pxrd[i, 3]), int(pxrd[i, 4])\n            hkl_labels.append([{\"hkl\": (h, k, l), \"multiplicity\": 1}])\n        self.hkl_labels = hkl_labels\n        self.pxrd = pxrd\n        self.name = filename\n\n    def __str__(self):\n        return self.by_hkl()\n\n    def __repr__(self):\n        return str(self)\n\n    def by_hkl(self, hkl=None, N_max=None):\n        \"\"\"\n        d for any give abitray [h,k,l] index\n        \"\"\"\n        s = \"\"\n        if hkl is None:\n            id1 = self.hkl_labels\n            seqs = range(len(id1))\n            if N_max is not None:\n                seqs = range(min(N_max, len(id1)))\n        else:\n            seqs = None\n            for id, label in enumerate(self.hkl_labels):\n                hkl0 = list(label[0][\"hkl\"])  # label['multiplicity']\n                if hkl == hkl0:\n                    seqs = [id]\n\n        if seqs is not None:\n            s += \"  2theta     d_hkl     hkl       Intensity  Multi\\n\"\n            for i in seqs:\n                s += f\"{self.theta2[i]:8.3f}  {self.d_hkls[i]:8.3f}   \"\n                s += \"[{:2d} {:2d} {:2d}]\".format(*self.hkl_labels[i][0][\"hkl\"])\n                s += f\" {100 * self.xrd_intensity[i] / max(self.xrd_intensity):8.2f} \"\n                s += \"{:8d}\\n\".format(self.hkl_labels[i][0][\"multiplicity\"])\n        else:\n            s += \"This hkl is not in the given 2theta range\"\n\n        return s\n\n    def all_dhkl(self, crystal):\n        \"\"\"\n        3x3 representation -> 1x6 (a, b, c, alpha, beta, gamma)\n        \"\"\"\n        rec_matrix = crystal.cell.reciprocal()\n        eps = 1e-8  # small value to avoid division by zero\n        d_max = self.wavelength / (np.sin(self.min2theta / 2) + eps) / 2\n        d_min = self.wavelength / (np.sin(self.max2theta / 2) + eps) / 2\n\n        # This block is to find the shortest d_hkl\n        hkl_index = create_index()  # 2, 2, 2)\n        hkl_max = np.array([1, 1, 1])\n\n        for index in hkl_index:\n            d = np.linalg.norm(np.dot(index, rec_matrix))\n            multiple = int(np.ceil(1 / d / d_min))\n            index *= multiple\n            for i in range(len(hkl_max)):\n                if hkl_max[i] < index[i]:\n                    hkl_max[i] = index[i]\n\n        h1, k1, l1 = hkl_max\n        h = np.arange(-h1, h1 + 1)\n        k = np.arange(-k1, k1 + 1)\n        l = np.arange(-l1, l1 + 1)\n\n        hkl = np.array(np.meshgrid(h, k, l)).transpose()\n        hkl_list = np.reshape(hkl, [len(h) * len(k) * len(l), 3])\n        hkl_list = hkl_list[np.where(hkl_list.any(axis=1))[0]]\n        d_hkl = 1 / np.linalg.norm(np.dot(hkl_list, rec_matrix), axis=1)\n\n        shortlist = np.where((d_hkl >= d_min) & (d_hkl < d_max))[0]\n        d_hkl = d_hkl[shortlist]\n        hkl_list = hkl_list[shortlist]\n        sintheta = self.wavelength / 2 / d_hkl\n\n        self.theta = np.arcsin(sintheta)#; print(self.theta[0:5000:])#; import sys; sys.exit()\n        self.hkl_list = np.array(hkl_list, dtype=int)#; print(self.hkl_list[0:5000:]); import sys; sys.exit()\n        self.d_hkl = d_hkl\n\n    def intensity(self, crystal):\n        \"\"\"\n        This function calculates all that is necessary to find the intensities.\n        This scheme is similar to pymatgen\n        If the number of hkl is significanly large, will automtically switch to\n        the fast mode in which we only calculate the intensity and do not care\n        the exact hkl families\n\n        Args:\n\n        \"\"\"\n        # obtain scattering parameters, atomic numbers, and occus\n        # print(\"total number of hkl lists\", len(self.hkl_list))\n        # print(\"total number of coords:\", len(crystal.get_scaled_positions()))\n        # from time import time\n        # t0 = time()\n\n        N_atom, N_hkls = len(crystal), len(self.hkl_list)\n        # Make sure the code don't split into too many cycles\n        if self.per_N < N_atom:\n            self.per_N = N_atom\n\n        coeffs = np.zeros([N_atom, 4, 2])\n        zs = np.zeros([N_atom, 1], dtype=int)\n        for i, elem in enumerate(crystal.get_chemical_symbols()):\n            if elem == \"D\":\n                elem = \"H\"\n            coeffs[i, :, :] = ATOMIC_SCATTERING_PARAMS[elem]\n            zs[i] = Element(elem).z\n\n        # A heavy calculation, Partition it to prevent the memory issue\n        #s2s = self.d_hkl**2 #(np.sin(self.theta) / self.wavelength) ** 2  # M\n        s2s = 1 / (4 * self.d_hkl ** 2)  # M\n        hkl_per_proc = int(self.per_N / N_atom)\n        N_cycle = int(np.ceil(N_hkls / hkl_per_proc))\n        positions = crystal.get_scaled_positions()\n\n        if self.ncpu == 1:\n            N_cycles = range(N_cycle)\n            Is = get_all_intensity(N_cycles, N_atom, self.per_N, positions, self.hkl_list, s2s, coeffs, zs)\n        else:\n            import multiprocessing as mp\n            queue = mp.Queue()\n            cycle_per_cpu = int(np.ceil(N_cycle / self.ncpu))\n            processes = []\n            for cpu in range(self.ncpu):\n                N1 = cpu * cycle_per_cpu\n                Start = N1 * hkl_per_proc\n                if cpu + 1 == self.ncpu:\n                    N2 = N_cycle\n                    End = N_hkls\n                else:\n                    N2 = (cpu + 1) * cycle_per_cpu\n                    End = N2 * hkl_per_proc\n\n                cycles = range(N1, N2)\n\n                p = mp.Process(\n                    target=get_all_intensity_par,\n                    args=(cpu, queue, cycles, Start, End,\n                        hkl_per_proc, positions,\n                        self.hkl_list[Start:End],\n                        s2s[Start:End],\n                        coeffs, zs))\n                p.start()\n                processes.append(p)\n\n            unsorted_result = [queue.get() for p in processes]\n            for p in processes:\n                p.join()\n\n            # collect results\n            Is = np.zeros([N_hkls])\n            for t in unsorted_result:\n                Is[t[1] : t[2]] += t[3]\n\n        # Lorentz polarization factor\n        lfs = (1 + np.cos(2 * self.theta) ** 2) / (np.sin(self.theta) ** 2 * np.cos(self.theta))\n\n        # Preferred orientation factor\n        if self.preferred_orientation is not False:\n            G = self.march_parameter\n            pos = ((G * np.cos(self.theta)) ** 2 + 1 / G * np.sin(self.theta) ** 2) ** (-3 / 2)\n        else:\n            pos = np.ones(N_hkls)\n\n        # Group the peaks by theta values\n        _two_thetas = np.degrees(2 * self.theta)\n        self.peaks = {}\n\n        N = int((self.max2theta - self.min2theta) / self.res)\n        if len(self.hkl_list) > N:\n            skip_hkl = True\n            refs = np.degrees(np.linspace(self.min2theta, self.max2theta, N + 1))\n            dtol = np.degrees(self.res / 2)\n            for ref_theta in refs:\n                ids = np.where(np.abs(_two_thetas - ref_theta) < dtol)[0]\n                if len(ids) > 0:\n                    intensity = np.sum(Is[ids] * lfs[ids] * pos[ids])\n                    self.peaks[ref_theta] = [\n                        intensity,\n                        self.hkl_list[ids],\n                        self.d_hkl[ids[0]],\n                    ]\n        else:\n            skip_hkl = False\n            two_thetas = []\n            for id in range(len(self.hkl_list)):\n                hkl, d_hkl = self.hkl_list[id], self.d_hkl[id]\n                # find where the scattered angles are equal\n                ind = np.where(np.abs(np.subtract(two_thetas, _two_thetas[id])) < self.TWO_THETA_TOL)\n                if len(ind[0]) > 0:\n                    # append intensity, hkl plane, and thetas to lists\n                    self.peaks[two_thetas[ind[0][0]]][0] += Is[id] * lfs[id] * pos[id]\n                    self.peaks[two_thetas[ind[0][0]]][1].append(tuple(hkl))\n                else:\n                    self.peaks[_two_thetas[id]] = [\n                        Is[id] * lfs[id] * pos[id],\n                        [tuple(hkl)],\n                        d_hkl,\n                    ]\n                    two_thetas.append(_two_thetas[id])\n\n        # obtain important intensities (defined by SCALED_INTENSITY_TOL)\n        # and corresponding 2*theta, hkl plane + multiplicity, and d_hkl\n        max_intensity = max([v[0] for v in self.peaks.values()])\n        x = []\n        y = []\n        hkls = []\n        d_hkls = []\n        count = 0\n        for k in sorted(self.peaks.keys()):\n            count += 1\n            v = self.peaks[k]\n            #if skip_hkl:\n            #    fam = {}\n            #    fam[tuple(v[1][0])] = len(v[1])\n            #else:\n            fam = self.get_unique_families(v[1])#; print(v[1], fam)\n            if v[0] / max_intensity * 100 > self.SCALED_INTENSITY_TOL:\n                # print(k, v[0]/max_intensity)\n                x.append(k)\n                y.append(v[0])\n\n                hkls.append([{\"hkl\": hkl, \"multiplicity\": mult} for hkl, mult in fam.items()])\n                d_hkls.append(v[2])\n\n        self.theta2 = x\n        self.xrd_intensity = y\n        self.hkl_labels = hkls\n        self.d_hkls = d_hkls\n\n        return skip_hkl\n\n    def pxrdf(self):\n        \"\"\"\n        Group the equivalent hkl planes together by 2\\theta angle\n        N*6 arrays, Angle, d_hkl, h, k, l, intensity\n        \"\"\"\n        rank = range(len(self.theta2))  # np.argsort(self.theta2)\n        PL = []\n        last = 0\n        for i in rank:\n            if self.xrd_intensity[i] > 0.01:\n                angle = self.theta2[i]\n                if abs(angle - last) < 1e-4:\n                    PL[-1][-1] += self.xrd_intensity[i]\n                else:\n                    PL.append(\n                        [\n                            angle,\n                            self.d_hkls[i],\n                            self.hkl_labels[i][0][\"hkl\"][0],\n                            self.hkl_labels[i][0][\"hkl\"][1],\n                            self.hkl_labels[i][0][\"hkl\"][2],\n                            self.xrd_intensity[i],\n                        ]\n                    )\n                last = angle\n\n        PL = np.array(PL)\n        PL[:, -1] = PL[:, -1] / max(PL[:, -1])\n        self.pxrd = PL\n\n    def get_unique_families(self, hkls, verbose=False):\n        \"\"\"\n        Returns unique families of Miller indices. Families must be permutations\n        of each other.\n\n        Args:\n            hkls ([h, k, l]): List of Miller indices.\n            verbose (bool): Whether or not to print out information on families.\n\n        Returns:\n            {hkl: multiplicity}: A dict with unique hkl and multiplicity.\n        \"\"\"\n\n        unique = collections.defaultdict(list)\n        for hkl in hkls:\n            hkl_tuple = tuple(hkl)\n            key = tuple(sorted(abs(int(i)) for i in hkl_tuple))\n            unique[key].append(hkl_tuple)\n\n        pretty_unique = {}\n        for v in unique.values():\n            pretty_unique[sorted(v)[-1]] = len(v)\n\n        return pretty_unique\n\n    @staticmethod\n    def draw_hkl(hkl):\n        \"\"\"\n        turn negative numbers in hkl to overbar\n        \"\"\"\n\n        hkl_str = []\n        for i in hkl:\n            if i < 0:\n                label = str(int(-i))\n                label = r\"$\\bar{\" + label + \"}$\"\n                hkl_str.append(str(label))\n            else:\n                hkl_str.append(str(int(i)))\n\n        return hkl_str\n\n    def plot_pxrd(\n        self,\n        filename=None,\n        profile=None,\n        minimum_I=0.01,\n        show_hkl=True,\n        fontsize=None,\n        figsize=(20, 10),\n        res=0.02,\n        fwhm=0.1,\n        ax=None,\n        xlim=None,\n        width=1.0,\n        legend=None,\n        show=False,\n    ):\n        \"\"\"\n        plot PXRD\n\n        Args:\n            filename (None): name of the xrd plot. If None, show the plot\n            profile: type of peak profile\n            minimum_I (0.01): the minimum intensity to include in the plot\n            show_hkl (True): whether or not show hkl labels\n            fontsize (None): fontsize of text in the plot\n            figsize ((20, 10)): figsize\n            xlim (None): the 2theta range [x_min, x_max]\n        \"\"\"\n        import matplotlib as mpl\n        import matplotlib.pyplot as plt\n\n        if fontsize is not None:\n            mpl.rcParams.update({\"font.size\": fontsize})\n\n        if xlim is None:\n            x_min, x_max = 0, np.degrees(self.max2theta)\n        else:\n            x_min, x_max = xlim[0], xlim[1]\n\n        if ax is None:\n            fig, axes = plt.subplots(1, 1, figsize=figsize)  # plt.figure(figsize=figsize)\n            axes.set_title(\"PXRD of \" + self.name)\n        else:\n            axes = ax\n\n        if profile is None:\n            dx = x_max - x_min\n            for i in self.pxrd:\n                axes.bar(i[0], i[-1], color=\"b\", width=width * dx / 180)\n                if i[-1] > minimum_I and x_min <= i[0] <= x_max and show_hkl:\n                    label = self.draw_hkl(i[2:5])\n                    axes.text(i[0] - dx / 40, i[-1], label[0] + label[1] + label[2])\n        else:\n            spectra = self.get_profile(method=profile, res=res, user_kwargs={\"FWHM\": fwhm})\n            label = \"Profile: \" + profile if legend is None else legend\n            axes.plot(spectra[0], spectra[1], label=label)\n            axes.legend()\n\n        axes.set_xlim([x_min, x_max])\n        axes.set_xlabel(r\"2$\\Theta$ ($\\lambda$=\" + str(self.wavelength) + r\" $\\AA$)\")\n        axes.set_ylabel(\"Intensity\")\n\n        if ax is None:\n            axes.grid()\n            if filename is None:\n                if show:\n                    fig.show()\n            else:\n                fig.savefig(filename)\n                # fig.close()\n            return fig, axes\n        return None\n\n    def plotly_pxrd(\n        self,\n        profile=\"gaussian\",\n        minimum_I=0.01,\n        res=0.02,\n        FWHM=0.1,\n        height=450,\n        html=None,\n    ):\n        import plotly.graph_objects as go\n\n        \"\"\"\n        interactive plot for pxrd powered by plotly\n        Args:\n            xrd: xrd object\n            html: html filename (str)\n        \"\"\"\n\n        x, y, labels = [], [], []\n        for i in range(len(self.pxrd)):\n            theta2, d, h, k, l, I = self.pxrd[i]\n            h, k, l = int(h), int(k), int(l)\n            if minimum_I < I:\n                label = f\"<br>2&#952;: {theta2:6.2f}<br>d: {d:6.4f}<br>\"\n                label += f\"I: {I:6.4f}</br>hkl: ({h:d}{k:d}{l:d})\"\n                x.append(theta2)\n                y.append(-0.1)\n                labels.append(label)\n\n        trace1 = go.Bar(\n            x=x,\n            y=y,\n            text=labels,\n            hovertemplate=\"%{text}\",\n            width=0.5,\n            name=\"hkl indices\",\n        )\n        if profile is None:\n            fig = go.Figure(data=[trace1])\n        else:\n            spectra = self.get_profile(method=profile, res=res, user_kwargs={\"FWHM\": FWHM})\n            trace2 = go.Scatter(x=spectra[0], y=spectra[1], name=\"Profile: \" + profile)\n            fig = go.Figure(data=[trace2, trace1])\n\n        fig.update_layout(\n            height=height,\n            xaxis_title=f\"2&#952; ({self.wavelength:.4f} &#8491;)\",\n            yaxis_title=\"Intensity\",\n            title=\"PXRD of \" + self.name,\n        )\n\n        if os.environ.get(\"_\", \"\").find(\"jupyter\") == -1:\n            if html is None:\n                return fig.to_html()\n            else:\n                fig.write_html(html)\n                return None\n        else:\n            print(\"This is running on Jupyter Notebook\")\n            return fig\n\n    def get_profile(self, method=\"gaussian\", res=0.01, user_kwargs=None):\n        \"\"\"\n        return the profile detail\n        \"\"\"\n\n        return Profile(method, res, user_kwargs).get_profile(\n            self.theta2,\n            self.xrd_intensity,\n            np.degrees(self.min2theta),\n            np.degrees(self.max2theta),\n        )\n\n    def get_plot(self, grainsize=20, orientation=0.1, thermo=0.1,\n                 L=500, H=50, S=25, bg_order=6, bg_ratio=0.05,\n                 mix_ratio=0.02, dx=0.02):\n        \"\"\"\n        Generate a simulated XRD plot with various parameters.\n        Inspired from Pysimxrd at PyPI.\n        Needs to double check the parameters.\n\n        Args:\n            grainsize (float): Grain size in micrometers.\n            orientation (float): Preferred orientation factor.\n            thermo (float): Thermal vibration factor.\n            L (float): Axial divergence length.\n            H (float): Axial divergence height.\n            S (float): Slit width.\n            bg_order (int): Order of the polynomial background.\n            bg_ratio (float): Ratio of background intensity.\n            mix_ratio (float): Ratio of random noise intensity.\n            dx (float): Step size for the simulated XRD.\n\n        Returns:\n            tuple: Simulated 2-theta values and corresponding intensities.\n        \"\"\"\n\n        # Marked locations and intensities\n        x, y = self.pxrd[:, 0], self.pxrd[:, -1] * 100\n        thetas = np.radians(x/2)\n\n        # Calculate FWHM using Scherrer equation\n        # Standard Scherrer: FWHM_L = K*λ/(L*cosθ) where K≈0.9\n        # For Lorentzian HWHM: γ = FWHM/2\n        K = 0.9  # Scherrer constant (shape factor)\n        fwhm = K * self.wavelength / (grainsize * np.cos(thetas) + 1e-10)  # FWHM in radians\n        gamma = fwhm / 2  # Lorentzian HWHM\n\n        # Convert HWHM to Gaussian variance for Voigt profile\n        # For pure Gaussian: HWHM = sqrt(2*ln2) * σ\n        # Therefore: σ² = HWHM² / (2*ln2)\n        sigma2 = gamma ** 2 / (2 * np.log(2))  # Gaussian variance\n\n        # Apply preferred orientation and Debye-Waller factor\n        ori_m, ori_p = 1 - orientation, 1 + orientation\n        ori = np.clip(np.random.normal(loc=1, scale=0.2), ori_m, ori_p)\n\n        # Apply Debye-Waller factor\n        deb = np.exp(-16/3 * np.pi**2 * thermo**2 * (np.sin(thetas) / self.wavelength)**2)\n        y *= ori * deb\n        #print(x, y, gamma, sigma2)\n\n        # Get profiles\n        theta_min, theta_max = np.degrees(self.min2theta), min(90.0, np.degrees(self.max2theta))\n        x_sim = np.arange(theta_min, theta_max, dx)\n        y_sim = np.zeros_like(x_sim)\n\n        # Add each peak contribution\n        for k in range(len(x)):\n            if x[k] < theta_max:\n                #print(\"Adding peak at 2theta =\", x[k])\n                y_sim += add_peak(x_sim, x[k], gamma[k], sigma2[k], L, H, S, dx) * y[k]\n\n        # Add each peak contribution\n        area = np.trapz(y_sim, x_sim)\n        y_sim /= area#; print(area, y_sim.max())\n\n        # Add background\n        bg_coeffs = np.abs(np.random.randn(bg_order + 1))\n        bg_coeffs[0] = -bg_coeffs[0]  # Ensure decreasing trend\n        bg_fun = np.poly1d(bg_coeffs)\n        #bg_fun = np.poly1d(np.random.randn(bg_order + 1))\n        bg = bg_fun(x_sim)\n        bg -= bg.min()\n        bg_y = bg / bg.max() * y_sim.max() * bg_ratio\n        mixture = np.random.uniform(0, y_sim.max() * mix_ratio, size=len(x_sim))\n        y_sim +=  bg_y + mixture\n\n        # Scale to (0, 100)\n        y_min, y_max = y_sim.min(), y_sim.max()\n        if y_max > y_min:  # Avoid division by zero\n            y_sim = (y_sim - y_min) / (y_max - y_min) * 100\n        else:\n            y_sim = np.zeros_like(y_sim)\n        #import matplotlib.pyplot as plt\n        #plt.plot(x_sim, y_sim)\n        #plt.show()\n        return x_sim, y_sim\n\ndef add_peak(twotheta, mu, gamma, sigma2, L, H, S, step=0.02, width=0.1, sigma2_distor=0.001):\n    \"\"\"\n    Add a single peak to the XRD pattern using Voigt profile,\n    axial divergence, slit function, and lattice distortion.\n\n    Args:\n        twotheta (array-like): Array of 2-theta\n        mu (float): Peak center (2-theta) in degrees.\n        gamma (float): Lorentzian HWHM parameter.\n        sigma2 (float): Gaussian variance parameter.\n        L (float): Axial divergence length.\n        H (float): Axial divergence height.\n        S (float): Slit half-width.\n        step (float): Step size for the 2-theta array.\n        width (float): Width of the slit function in degrees.\n        sigma2_distor (float): Variance for lattice distortion Gaussian.\n\n    Returns:\n        ndarray: Array of same shape as twotheta with the peak intensity.\n    \"\"\"\n    # Determine l_gap based on mu value\n    if mu <= 10:\n        l_gap = 7.8\n    elif 10 < mu <= 15:\n        l_gap = 10\n    elif 15 < mu <= 20:\n        l_gap = 15\n    elif 20 < mu <= 30:\n        l_gap = 20\n    else:\n        l_gap = 30\n\n    # Ensure mu-l_gap and mu+l_gap are recorded in twotheta or its extension\n    x = np.arange(np.round(mu - l_gap, 2), np.round(mu + l_gap, 2), step)\n\n    # Voigt profile calculation\n    sigma = np.sqrt(sigma2)\n    z = ((x - mu) + 1j * gamma) / (sigma * np.sqrt(2))\n    voigt = np.real(wofz(z) / (sigma * np.sqrt(2 * np.pi)))\n\n    # Axial divergence calculation\n    axial = axial_div(x, mu, L, H, S)\n\n    # Slit function calculation\n    height = 1.0 / width\n    slit = np.where((x >= mu - width / 2) & (x <= mu + width / 2), height, 0)\n\n    #slit = np.zeros_like(x)\n    #mask = np.abs(x - mu) <= width / 2\n    #slit[mask] = 1.0 / width  # Normalized rectangular function\n\n    # Lattice distortion calculation\n    sigma = np.sqrt(sigma2_distor)\n    distor = (1 / (sigma * np.sqrt(2 * np.pi))) * np.exp(-0.5 * ((x - mu) / sigma)**2)\n\n    # Convolve the peaks\n    combined = np.convolve(voigt, axial, mode='same')\n    combined = np.convolve(combined, slit, mode='same')\n    combined = np.convolve(combined, distor, mode='same')\n    if np.sum(combined) > 0:\n        combined /= np.sum(combined) * step  # Normalize peak and apply weight\n        return map_intensity(combined, x, twotheta)\n    else:\n        return np.zeros_like(twotheta)\n\ndef axial_div_bak(x, mu, L, H, S):\n    \"\"\"\n    Calculate the axial divergence peak contribution using the Van Laar model.\n\n    Args:\n        x (array-like): Array of 2-theta values in degrees.\n        mu (float): Peak center (2-theta) in degrees.\n        L (float): Axial divergence length (same units as H and S).\n        H (float): Axial divergence height.\n        S (float): Slit half-width (same units as H).\n\n    Returns:\n        ndarray: Array of same shape as x with the axial divergence shape (unnormalized).\n    \"\"\"\n    axial_divergence = np.zeros_like(x)  # Initialize axial_divergence to zeros\n    valid_indices = x <= mu  # Identify valid indices where x <= mu\n    x_valid = np.radians(x[valid_indices])  # Get valid x values\n\n    h = L * np.sqrt((np.cos(x_valid) / np.cos(np.radians(mu)))**2 - 1) + 1e-10 # Calculate h\n    W = np.where((H - S <= h) & (h <= H + S), H + S - h, 0)  # Calculate W for valid h\n    axial_divergence[valid_indices] = L / (2 * H * S * h * np.cos(x_valid)) * W\n    #print('debug axial_div', mu, x_valid[-1], axial_divergence[valid_indices].max())\n    axial_divergence /= (axial_divergence.max() + 1e-10)# in case numerical err\n    cdf = np.zeros_like(x)\n    mask = x < mu\n    cdf[mask] = np.cumsum(axial_divergence[mask])\n    return cdf\n\ndef axial_div(x, mu, L, H, S):\n    \"\"\"\n    Van Laar axial divergence PDF (not CDF!)\n    \"\"\"\n    x = np.asarray(x)\n    f = np.zeros_like(x)\n\n    mask = x < mu\n    if not np.any(mask):\n        return f\n\n    x_m = np.radians(x[mask])\n    mu_r = np.radians(mu)\n    cos_mu = np.cos(mu_r)\n    cos_x = np.cos(x_m)\n\n    # Calculate h parameter with clipping to avoid negative square root\n    cos_ratio_sq = (cos_x / cos_mu) ** 2\n    h = L * np.sqrt(np.clip(cos_ratio_sq - 1, 0, None))\n\n    # Window function: non-zero only when H - S <= h <= H + S\n    W = np.clip(H + S - h, 0.0, 2 * S)\n\n    # Van Laar axial divergence formula\n    # Avoid division by zero\n    denom = 2 * H * S * np.clip(h, 1e-10, None) * np.clip(cos_x, 1e-10, None)\n    f[mask] = L * W / denom\n\n    # Remove numerical noise and ensure non-negative\n    f[~np.isfinite(f)] = 0.0\n    f[f < 0] = 0.0\n\n    # Normalize to unit area\n    # Integrate only the non-zero part\n    x_nonzero = x[mask]\n    f_nonzero = f[mask]\n    if len(x_nonzero) > 1 and np.sum(f_nonzero) > 0:\n        area = np.trapz(f_nonzero, x_nonzero)\n        if area > 0:\n            f[mask] /= area\n    return f\n\ndef map_intensity(peak, x, twotheta):\n    \"\"\"\n    Map peak intensities from fine grid (x) to coarse grid (twotheta).\n    Uses cubic spline interpolation to produce continuous, smooth profiles.\n\n    Args:\n        peak (array-like): Peak intensities on fine grid x.\n        x (array-like): Fine grid positions (degrees).\n        twotheta (array-like): Coarse grid positions (degrees).\n\n    Returns:\n        ndarray: Interpolated intensities on twotheta grid.\n    \"\"\"\n    # Handle edge cases\n    if len(peak) == 0 or len(x) == 0:\n        return np.zeros_like(twotheta)\n\n    # Check if x is monotonically increasing\n    if not np.all(np.diff(x) > 0):\n        # Sort by x if not already sorted\n        sort_idx = np.argsort(x)\n        x = x[sort_idx]\n        peak = peak[sort_idx]\n\n    # Use cubic spline interpolation for smooth results\n    kind = 'linear' if len(x) < 4 else 'cubic'\n\n    try:\n        f_interp = interp1d(x, peak, kind=kind, bounds_error=False,\n                           fill_value=0.0, assume_sorted=True)\n        y_twotheta = f_interp(twotheta)\n        # Ensure non-negative intensities\n        y_twotheta[y_twotheta < 0] = 0.0\n        return y_twotheta\n    except (ValueError, RuntimeError) as e:\n        print(f\"Interpolation failed: {e}. Falling back to nearest-neighbor.\")\n        return _map_int_nearest_neighbor(peak, x, twotheta)\n\n\ndef _map_int_nearest_neighbor(peak, x, twotheta):\n    \"\"\"\n    Fallback nearest-neighbor mapping when interpolation fails.\n\n    Args:\n        peak (array-like): Peak intensities on fine grid.\n        x (array-like): Fine grid positions.\n        twotheta (array-like): Coarse grid positions.\n\n    Returns:\n        ndarray: Nearest-neighbor intensities.\n    \"\"\"\n    y_twotheta = np.zeros_like(twotheta, dtype=float)\n\n    for x_val, peak_val in zip(x, peak):\n        idx = np.argmin(np.abs(twotheta - x_val))\n        if y_twotheta[idx] == 0:  # Only assign if not already set\n            y_twotheta[idx] = peak_val\n        else:\n            y_twotheta[idx] += peak_val * 0.5  # Average with existing value\n\n    return y_twotheta\n\n# ----------------------------- Profile functions ------------------------------\nclass Profile:\n    \"\"\"\n    This class applies a profiling function to simulated or\n    experimentally obtained XRD spectra.\n\n    Args:\n        method (str): Type of function used to profile\n        res (float): resolution of the profiling array in degree\n        user_kwargs (dict): The parameters for the profiling method.\n    \"\"\"\n\n    def __init__(self, method=\"mod_pseudo-voigt\", res=0.02, user_kwargs=None):\n        self.method = method\n        self.user_kwargs = user_kwargs\n        self.res = res\n        kwargs = {}\n\n        if method == \"mod_pseudo-voigt\":\n            _kwargs = {\n                \"U\": 5.776410e-03,\n                \"V\": -1.673830e-03,\n                \"W\": 5.668770e-03,\n                \"A\": 1.03944,\n                \"eta_h\": 0.504656,\n                \"eta_l\": 0.611844,\n            }\n        elif method in [\"gaussian\", \"lorentzian\", \"pseudo-voigt\"]:\n            _kwargs = {\"FWHM\": 0.1}\n\n        else:\n            msg = method + \" isn't supported.\"\n            raise NotImplementedError(msg)\n\n        kwargs.update(_kwargs)\n\n        if user_kwargs is not None:\n            kwargs.update(user_kwargs)\n\n        self.kwargs = kwargs\n\n    def get_profile(self, two_thetas, intensities, min2theta, max2theta):\n        \"\"\"\n        Performs profiling with selected function, resolution, and parameters\n\n        Args:\n            - two_thetas: 1d float array simulated/measured 2 theta values\n            - intensities: simulated/measures peaks\n        \"\"\"\n        N = int((max2theta - min2theta) / self.res)\n        px = np.linspace(min2theta, max2theta, N)\n        py = np.zeros(N)\n        for two_theta, intensity in zip(two_thetas, intensities):\n            # print(two_theta, intensity)\n            if self.method == \"gaussian\":\n                fwhm = self.kwargs[\"FWHM\"]\n                bin_edges = np.concatenate([px - self.res/2, [px[-1] + self.res/2]])\n                tmp = np.zeros_like(px)\n                for i in range(len(px)):\n                    left, right = bin_edges[i], bin_edges[i+1]\n                    tmp[i] = gaussian_integrated(left, right, two_theta, fwhm)\n                #dtheta2 = ((px - two_theta) / fwhm) ** 2\n                #tmp = np.exp(-4 * np.log(2) * dtheta2)\n                # tmp = gaussian(two_theta, px, fwhm)\n\n            elif self.method == \"lorentzian\":\n                fwhm = self.kwargs[\"FWHM\"]\n                tmp = lorentzian(two_theta, px, fwhm)\n\n            elif self.method == \"pseudo-voigt\":\n                try:\n                    fwhm_g = self.kwargs[\"FWHM-G\"]\n                    fwhm_l = self.kwargs[\"FWHM-L\"]\n                except:\n                    fwhm_g = self.kwargs[\"FWHM\"]\n                    fwhm_l = self.kwargs[\"FWHM\"]\n\n                fwhm = (\n                    fwhm_g**5\n                    + 2.69269 * fwhm_g**4 * fwhm_l\n                    + 2.42843 * fwhm_g**3 * fwhm_l**2\n                    + 4.47163 * fwhm_g**2 * fwhm_l**3\n                    + 0.07842 * fwhm_g * fwhm_l**4\n                    + fwhm_l**5\n                ) ** (1 / 5)\n                eta = 1.36603 * fwhm_l / fwhm - 0.47719 * (fwhm_l / fwhm) ** 2 + 0.11116 * (fwhm_l / fwhm) ** 3\n                tmp = pseudo_voigt(two_theta, px, fwhm, eta)\n\n            elif self.method == \"mod_pseudo-voigt\":\n                U = self.kwargs[\"U\"]\n                V = self.kwargs[\"V\"]\n                W = self.kwargs[\"W\"]\n                A = self.kwargs[\"A\"]\n                eta_h = self.kwargs[\"eta_h\"]\n                eta_l = self.kwargs[\"eta_l\"]\n\n                fwhm = np.sqrt(\n                    U * np.tan(np.pi * two_theta / 2 / 180) ** 2 + V * np.tan(np.pi * two_theta / 2 / 180) + W\n                )\n                x = px - two_theta\n                tmp = mod_pseudo_voigt(x, fwhm, A, eta_h, eta_l, N)\n\n            py += intensity * tmp\n            # print(intensity * tmp)\n\n        py /= np.max(py)\n\n        self.spectra = np.vstack((px, py))\n        return self.spectra\n\n\n# ------------------------------ Similarity between two XRDs ---------------------------------\nclass Similarity:\n    def __init__(self, f, g, N=None, x_range=None, l=2.0, weight=\"cosine\"):\n        \"\"\"\n        Class to compute the similarity between two diffraction patterns\n        Args:\n\n            f: spectra1 (2D array)\n            g: spectra2 (2D array)\n            N: number of sampling points for the processed spectra\n            x_range: the range of x values used to compute similarity ([x_min, x_max])\n            l: cutoff value for shift (real)\n            weight: weight function 'triangle' or 'cosine' (str)\n        \"\"\"\n\n        fx, fy = f[0], f[1]\n        gx, gy = g[0], g[1]\n        self.l = abs(l)\n        res1 = (fx[-1] - fx[0]) / len(fx)\n        res2 = (gx[-1] - gx[0]) / len(gx)\n        self.resolution = min([res1, res2]) / 3  # improve the resolution\n\n        if N is None:\n            self.N = int(2 * self.l / self.resolution)\n        else:\n            self.N = N\n        self.r = np.linspace(-self.l, self.l, self.N)\n\n        if x_range is None:\n            x_min = max(np.min(fx), np.min(gx))\n            x_max = min(np.max(fx), np.max(gx))\n        else:\n            x_min, x_max = x_range[0], x_range[1]\n\n        self.x_range = [x_min, x_max]\n\n        f_inter = interp1d(fx, fy, \"cubic\", fill_value=\"extrapolate\")\n        g_inter = interp1d(gx, gy, \"cubic\", fill_value=\"extrapolate\")\n\n        fgx_new = np.linspace(x_min, x_max, int((x_max - x_min) / self.resolution) + 1)\n        fy_new = f_inter(fgx_new)\n        gy_new = g_inter(fgx_new)\n\n        self.fx, self.gx, self.fy, self.gy = fgx_new, fgx_new, fy_new, gy_new\n        self.weight = weight\n        if self.weight == \"triangle\":\n            w = self.triangleFunction()\n        elif self.weight == \"cosine\":\n            w = self.cosineFunction()\n        else:\n            msg = self.weight + \"is not supported\"\n            raise NotImplementedError(msg)\n\n        Npts = len(self.fx)\n        d = self.fx[1] - self.fx[0]\n\n        self.value = similarity_calculate(self.r, w, d, Npts, self.fy, self.gy)\n\n    def __str__(self):\n        return f\"The similarity between two PXRDs is {self.value:.4f}\"\n\n    def __repr__(self):\n        return str(self)\n\n    def triangleFunction(self):\n        \"\"\"\n        Triangle function to weight correlations\n        \"\"\"\n        w = 1 - np.abs(self.r / self.l)\n        ids = np.abs(self.r) > self.l\n        w[ids] = 0\n\n        return w\n\n    def cosineFunction(self):\n        \"\"\"\n        cosine function to weight correlations\n        \"\"\"\n\n        w = 0.5 * (np.cos(np.pi * self.r / self.l) + 1.0)\n        ids = np.abs(self.r) > self.l\n        w[ids] = 0\n\n        return w\n\n    def show(self, filename=None, fontsize=None, labels=None):\n        \"\"\"\n        show the comparison plot\n\n        Args:\n            filename (None): name of the xrd plot. If None, show the plot\n            labels [A, B]: labels of each plot\n        \"\"\"\n        import matplotlib as mpl\n        import matplotlib.pyplot as plt\n\n        if labels is None:\n            labels = [\"profile 1\", \"profile 2\"]\n        if fontsize is not None:\n            mpl.rcParams.update({\"font.size\": fontsize})\n\n        fig1 = plt.figure(1, figsize=(15, 6))\n        fig1.add_axes((0.1, 0.3, 0.8, 0.6))\n\n        plt.plot(self.fx, self.fy, label=labels[0])\n        plt.plot(self.fx, -self.gy, label=labels[1])\n        plt.legend()\n\n        # Residual plot\n        residuals = self.gy - self.fy\n        fig1.add_axes((0.1, 0.1, 0.8, 0.2))\n        plt.plot(self.gx, residuals, \".r\", markersize=0.5)\n        plt.title(f\"{self.value:6f}\")\n\n        if filename is None:\n            plt.show()\n        else:\n            plt.savefig(filename)\n            plt.close()\n\n\ndef mod_pseudo_voigt(x, fwhm, A, eta_h, eta_l, N):\n    \"\"\"\n    A modified split-type pseudo-Voigt function for profiling peaks\n    - Izumi, F., & Ikeda, T. (2000).\n    \"\"\"\n\n    tmp = np.zeros(N)\n    for xi, dx in enumerate(x):\n        if dx < 0:\n            A = A\n            eta_l = eta_l\n            eta_h = eta_h\n        else:\n            A = 1 / A\n            eta_l = eta_h\n            eta_h = eta_l\n\n        tmp[xi] = (\n            ((1 + A) * (eta_h + np.sqrt(np.pi * np.log(2)) * (1 - eta_h)))\n            / (\n                eta_l\n                + np.sqrt(np.pi * np.log(2)) * (1 - eta_l)\n                + A * (eta_h + np.sqrt(np.pi * np.log(2)) * (1 - eta_h))\n            )\n            * (\n                eta_l * 2 / (np.pi * fwhm) * (1 + ((1 + A) / A) ** 2 * (dx / fwhm) ** 2) ** (-1)\n                + (1 - eta_l)\n                * np.sqrt(np.log(2) / np.pi)\n                * 2\n                / fwhm\n                * np.exp(-np.log(2) * ((1 + A) / A) ** 2 * (dx / fwhm) ** 2)\n            )\n        )\n    return tmp\n\n\ndef gaussian(theta2, alpha, fwhm):\n    \"\"\"\n    Gaussian function for profiling peaks\n    \"\"\"\n\n    tmp = ((alpha - theta2) / fwhm) ** 2\n    return np.exp(-4 * np.log(2) * tmp)\n\n\ndef lorentzian(theta2, alpha, fwhm):\n    \"\"\"\n    Lorentzian function for profiling peaks\n    \"\"\"\n\n    tmp = 1 + 4 * ((alpha - theta2) / fwhm) ** 2\n    return 1 / tmp\n\n\ndef pseudo_voigt(theta2, alpha, fwhm, eta):\n    \"\"\"\n    Original Pseudo-Voigt function for profiling peaks\n    - Thompson, D. E. Cox & J. B. Hastings (1986).\n    \"\"\"\n\n    L = lorentzian(theta2, alpha, fwhm)\n    G = gaussian(theta2, alpha, fwhm)\n    return eta * L + (1 - eta) * G\n\n\ndef similarity_calculate(r, w, d, Npts, fy, gy):\n    \"\"\"\n    Compute the similarity between the pair of spectra f, g\n    \"\"\"\n\n    xCorrfg_w, aCorrff_w, aCorrgg_w = 0, 0, 0\n    for r0, w0 in zip(r, w):\n        Corrfg, Corrff, Corrgg = 0, 0, 0\n        shift = int(r0 / d)\n        for i in range(Npts):\n            if 0 <= i + shift <= Npts - 1:\n                Corrfg += fy[i] * gy[i + shift] * d\n                Corrff += fy[i] * fy[i + shift] * d\n                Corrgg += gy[i] * gy[i + shift] * d\n\n        xCorrfg_w += w0 * Corrfg * d\n        aCorrff_w += w0 * Corrff * d\n        aCorrgg_w += w0 * Corrgg * d\n\n    return np.abs(xCorrfg_w / np.sqrt(aCorrff_w * aCorrgg_w))\n\n\ndef create_index(imax=1, jmax=1, kmax=1):\n    \"\"\"\n    shortcut to get the index\n    \"\"\"\n    hkl_index = []\n    for i in range(-imax, imax + 1):\n        for j in range(-jmax, jmax + 1):\n            for k in range(-kmax, kmax + 1):\n                hkl = np.array([i, j, k])\n                if sum(hkl * hkl) > 0:\n                    hkl_index.append(hkl)\n    return np.array(hkl_index).reshape([len(hkl_index), 3])\n\n\ndef get_intensity(positions, hkl, s2, coeffs, z):\n    \"\"\"\n    Calculate the intensity for a given set of positions, hkl, s2, coefficients, and atomic numbers.\n    Args:\n        positions (np.ndarray): N*3 array of atomic positions in fractional coordinates.\n        hkl (np.ndarray): 3*M array of Miller indices.\n        s2 (np.ndarray): M array of sin^2(theta) values.\n        coeffs (np.ndarray): N*4*2 array of coefficients for each atom.\n        z (np.ndarray): N*1 array of atomic numbers.\n\n    Returns:\n        np.ndarray: M array of calculated intensities.\n    \"\"\"\n    #N = len(positions); positions = np.random.rand(N, 3) #-= np.round(positions)  # ensure within [0,1)\n    g_dot_rs = np.dot(positions, hkl)  # N*3 dot 3*M -> N*M\n    exps = np.exp(-2j * np.pi * g_dot_rs)  # N*M\n    #print(exps[0]); import sys; sys.exit()\n    tmp1 = np.exp(np.einsum(\"ij,k->ijk\", -coeffs[:, :, 1], s2))  # N*4, M\n    tmp2 = np.einsum(\"ij,ijk->ik\", coeffs[:, :, 0], tmp1)  # N*4, N*M\n    sfs = np.add(-41.78214 * np.einsum(\"ij,j->ij\", tmp2, s2), z)  # N*M, M -> N*M\n    fs = np.sum(sfs * exps, axis=0)  # M\n\n    # Final intensity values, M\n    #for i, f in enumerate(fs):\n    #    if f.real > 0.1 and s2[i] < 0.05:\n    #        print(\"hkl\", hkl[:, i], s2[i], '|F|', f)\n\n    return (fs * fs.conjugate()).real\n\n\ndef get_all_intensity(N_cycles, N_atom, per_N, positions, hkls, s2s, coeffs, zs):\n    Is = np.zeros(len(hkls))\n    for i, cycle in enumerate(N_cycles):\n        N1 = int(per_N * (cycle) / N_atom)\n        if i + 1 == len(N_cycles):\n            N2 = min([len(hkls), int(per_N * (cycle + 1) / N_atom)])\n        else:\n            N2 = int(per_N * (cycle + 1) / N_atom)\n        hkl, s2 = hkls[N1:N2].T, s2s[N1:N2]\n        Is[N1:N2] = get_intensity(positions, hkl, s2, coeffs, zs)\n    return Is\n\n\ndef get_all_intensity_par(cpu, queue, cycles, Start, End, hkl_per_proc, positions, hkls, s2s, coeffs, zs):\n    Is = np.zeros(End - Start)\n    for i, cycle in enumerate(cycles):\n        N1 = cycle * hkl_per_proc - Start\n        N2 = End - Start if i + 1 == len(cycles) else N1 + hkl_per_proc\n        hkl, s2 = hkls[N1:N2].T, s2s[N1:N2]\n        Is[N1:N2] = get_intensity(positions, hkl, s2, coeffs, zs)\n        # print('run', cpu, N1+Start, N2+Start, N1, N2)\n    queue.put((cpu, Start, End, Is))\n\n\ndef gaussian_integrated(bin_left, bin_right, center, fwhm):\n    sigma = fwhm / (2 * np.sqrt(2 * np.log(2)))\n    # Integrate the normalized Gaussian over [bin_left, bin_right]\n    return 0.5 * (erf((bin_right - center) / (np.sqrt(2) * sigma)) -\n                  erf((bin_left - center) / (np.sqrt(2) * sigma)))\n\ndef pxrd_refine(xtal, ref_pxrd, thetas, steps=50):\n    \"\"\"\n    Improve the lattice w.r.t the reference PXRD\n\n    Args:\n        xtal: pyxtal object\n        ref_pxrd: tuple of (thetas, intensities) for the reference PXRD\n        thetas: list of angles to calculate the PXRD\n        steps (int): number of steps for optimization\n\n    Returns:\n        xtal: refined pyxtal object\n        x: parameters used for optimization\n        sim: similarity value between the refined PXRD and the reference PXRD\n    \"\"\"\n    from scipy.optimize import minimize\n\n    def fun(x0, rep, ref_pxrd, thetas):\n        rep.x[0][1:] = x0\n        s = rep.to_pyxtal()\n        xrd = s.get_XRD(thetas=thetas)\n        pxrd = xrd.get_profile(res=0.15, user_kwargs={\"FWHM\": 0.25})\n        sim = Similarity(ref_pxrd, pxrd, x_range=thetas).value\n        return -sim\n\n    rep = xtal.get_1D_representation()\n    x0 = rep.x[0][1:]\n    f0 = fun(x0, rep, ref_pxrd, thetas)\n    if f0 < -0.8:\n        res = minimize(fun, x0,\n                       args=(rep, ref_pxrd, thetas),\n                       method=\"Nelder-Mead\",\n                       options={\"maxiter\": steps})\n        rep.x[0][1:] = res.x\n        xtal = rep.to_pyxtal()\n        return xtal, -res.fun\n    else:\n        #print(\"The initial PXRD is unlikely to match the reference PXRD well.\")\n        return xtal, -f0\n\n\ndef check_pxrd_match(xtal, ref_pxrd, s_tol=0.8, top_n=3, peak_tol=0.1, ang_tol=1.0,\n                     wave_length=1.5406, verbose=False):\n    \"\"\"\n    Check if there is a false match between the pyxtal structure and the reference PXRD.\n    First, check the similarity between the two PXRDs. If the similarity is above s_tol,\n    Second, for each of the top_n strongest peaks in the computed PXRD, check if the related\n    peaks (within peak_tol) are present in the reference PXRD within a tolerance.\n\n    Args:\n        xtal: pyxtal object\n        ref_pxrd: a 2D array of (thetas, intensities) for the reference PXRD\n        s_tol: similarity tolerance, default is 0.8\n        top_n: number of strongest peaks to consider, default is 3\n        peak_tol: tolerance for peaks to be considered for a comparison, default is 0.05\n        ang_tol: tolerance for matching peaks in degrees, default is 1.0\n        wave_length: X-ray wavelength, default is Cu K-alpha\n        verbose: whether or not print the information\n\n    Returns:\n        bool: True if there is a false match, False otherwise\n    \"\"\"\n    xrd = xtal.get_XRD(thetas=[ref_pxrd[0][0], ref_pxrd[0][-1]], wavelength=wave_length)\n    pxrd = xrd.get_profile(res=0.15, user_kwargs={\"FWHM\": 0.25})\n    sim = Similarity(ref_pxrd, pxrd, x_range=[ref_pxrd[0][0], ref_pxrd[0][-1]]).value\n    if verbose:\n        print(f\"Similarity between computed PXRD and reference PXRD: {sim:.4f}\")\n        print(xrd)\n    if sim > s_tol:\n        # get the strongest peaks from the computed PXRD from xtal\n        peaks = xrd.pxrd[:, -1] # intensity\n        hkls = xrd.pxrd[:, 2:5] # hkl\n        thetas = xrd.pxrd[:, 0] # 2theta\n        sorted_indices = np.argsort(peaks)[::-1]\n        sorted_hkls = hkls[sorted_indices]\n        sorted_peaks = peaks[sorted_indices]\n        sorted_thetas = thetas[sorted_indices]\n        for i in range(top_n):\n            hkl = sorted_hkls[i]\n            # get the hkls that are related to the current hkl\n            for j, h in enumerate(hkls):\n                if is_multiple(h, hkl) and not np.all(h == hkl):\n                    theta = sorted_thetas[j]\n                    peak = sorted_peaks[j]\n                    if peak > peak_tol:\n                        if verbose:\n                            print(f\"Checking {h}/{hkl} in top {i+1} peak  => {peak:.2f} at {theta:.2f}\")\n                        # check if there is a peak in the reference PXRD within ang_tol and peak_tol\n                        close_peaks = ref_pxrd[0][(ref_pxrd[0] >= theta - ang_tol) & (ref_pxrd[0] <= theta + ang_tol)]\n                        close_peaks = close_peaks[np.abs(close_peaks - theta) <= peak_tol]\n                        if len(close_peaks) == 0:\n                            if verbose:\n                                print(f\"False match at hkl {hkl}/{h} at {theta:.2f} not in ref. PXRD\")\n                            return 0\n        return sim\n    else:\n        return sim  # Similarity too low to consider\n\ndef is_multiple(hkl, ref_hkl):\n    # Avoid division by zero and require ref_hkl is not (0,0,0)\n    if np.all(ref_hkl == 0):\n        return False\n    # Find the scaling factor for each component, ignore zeros in ref_hkl\n    factors = []\n    for h, r in zip(hkl, ref_hkl):\n        if r == 0:\n            if h != 0:\n                return False\n        else:\n            factors.append(h / r)\n    # All nonzero factors must be equal and positive integer\n    if len(factors) == 0:\n        return False\n    first = factors[0]\n    if not np.allclose(factors, first):\n        return False\n    # Check if the factor is a positive integer\n    return first > 0 and np.isclose(first, int(round(first)))\n\ndef get_para_from_pxrd(ref_pxd, spg, wave_length=1.5406):\n    \"\"\"\n    Estimate the lattice parameters from the reference PXRD using Bragg's law and cubic assumption.\n\n    Args:\n        ref_pxd: tuple of (thetas, intensities) for the reference PXRD\n        spg: space group number\n        wave_length: X-ray wavelength, default is Cu K-alpha\n\n    Returns:\n        a: estimated lattice parameter\n    \"\"\"\n    # Get the first peak position\n    #thetas, intensities = ref_pxd\n    #peak_index = np.argmax(intensities)\n    #theta = thetas[peak_index] / 2  # Convert 2theta to theta\n    #a = wave_length / (2 * np.sin(np.radians(theta)))  # Bragg's law\n    #if spg > 194:\n    #    if spg in [196, 202, 203, 209, 210, 216, 219, 225, 226, 227, 228]: # F-cubic 111\n    #        a /= np.sqrt(3)\n    #    elif spg in [195, 198, 199, 200, 201, 205, 206, 207, 208, 211, 212, 213, 214, 215]: # I-cubic 200\n    #        a /= np.sqrt(2)\n    #    cell = [a, a, a, 90, 90, 90]\n    #elif 143 <= spg <= 194: # (001) or (100)\n    #    cell = [[a, a, a, 90, 90, 120], []]\n    #elif 75 <= spg <= 142:\n    #    if P: # (100) or (001)\n    #    elif I: # (101) or (110)\n    #        a /= np.sqrt(2)\n    #elif 16 <= spg <= 74: # (100) or (001)\n    #    if P: #(100), (010), (001)\n    #    elif I: (101) or (110)\n    #    elif C/F/I: (001)/(020)/(101) ???\n    #elif 3 <= spg <= 15: # (001) or (100)\n    #    if P: #(100), (010), (001)\n    #    elif A/B/C: (001)/(010)/(100)\n    #else: # (001), (100), (010)\n    #    cell = [a, a, 10, 90, 90, 90]\n    #return cell\n    pass\n\nif __name__ == \"__main__\":\n    from optparse import OptionParser\n    from matplotlib import pyplot as plt\n    from pyxtal import pyxtal\n    from pyxtal.util import parse_cif\n    from pymatgen.core import Structure\n\n    parser = OptionParser()\n    parser.add_option(\"-f\", dest=\"cif\", help=\"cif file name\")\n    parser.add_option(\"-r\", dest=\"ref\", help=\"ref pxrd file\", default=\"ref_pxrd.txt\")\n    parser.add_option(\"-s\", dest=\"step\", type=int, default=30, help=\"steps, optional\")\n    parser.add_option(\"-o\", dest=\"out\", default=\"PXRD-Matched.cif\", help=\"output\")\n    parser.add_option(\"--smin1\", dest=\"smin1\", type=float, default=0.85,\n                      help=\"minimum similarity to refine PXRD, default 0.85\")\n    parser.add_option(\"--smin2\", dest=\"smin2\", type=float, default=0.92,\n                      help=\"minimum similarity to refine PXRD, default 0.92\")\n    parser.add_option(\"--thetas\", dest=\"thetas\", type=float, nargs=2, default=[5, 35],\n                      help=\"thetas for PXRD calculation, default [5, 35]\")\n\n    (options, args) = parser.parse_args()\n    thetas = options.thetas\n    if options.ref is None:\n        raise ValueError(\"Please provide a reference PXRD file using -r option.\")\n    if not os.path.exists(options.ref):\n        raise FileNotFoundError(f\"Reference PXRD '{options.ref}' does not exist.\")\n\n    smiles = None\n    with open(options.cif) as f:\n        lines = f.readlines()\n        for l in lines:\n            if 'smile' in l:\n                smile_str = l.split(':')[1].strip()\n                smiles = [s + '.smi' for s in smile_str.split('.')]\n                break\n    if smiles is None:\n        raise ValueError(\"No smiles found in the CIF file. Please check the CIF format.\")\n    else:\n        print(\"Smiles found:\", smiles)\n    with open(options.out, 'w') as f: f.write(f'smiles: {smile_str}\\n')\n\n    if options.ref.endswith(\".cif\"):\n        s = pyxtal(molecular=True)\n        s.from_seed(options.ref, molecules=smiles)\n        ref_pxrd =s.get_XRD(thetas=thetas).get_profile(res=0.15, user_kwargs={\"FWHM\": 0.25})\n    else:\n        data = np.loadtxt(options.ref, skiprows=1)  # Load the reference PXRD data\n        data[:, 1] /= np.max(data[:, 1])  # Normalize the intensity\n        ref_pxrd = (data[:, 0], data[:, 1])\n\n    #cifs, engs = parse_cif(options.cif)#, eng=True)\n    cifs = parse_cif(options.cif)#, eng=True)\n    pxrds = []\n    s = pyxtal(molecular=True)\n    for i, cif in enumerate(cifs):\n        try:\n            pmg = Structure.from_str(cif, fmt=\"cif\")\n            s.from_seed(pmg, molecules=smiles)\n        except:\n            print(f\"Failed to parse CIF {i}. Skipping...\")\n            continue\n        pxrd1 = s.get_XRD(thetas=thetas).get_profile(res=0.15, user_kwargs={\"FWHM\": 0.25})\n        s1, val1 = pxrd_refine(s, ref_pxrd, thetas, steps=0)\n        print(i, s1.lattice, val1)\n\n        if val1 > options.smin1:\n            s2, val2 = pxrd_refine(s1, ref_pxrd, thetas, steps=options.step)\n            pxrd2 = s2.get_XRD(thetas=thetas).get_profile(res=0.15, user_kwargs={\"FWHM\": 0.25})\n            print(i, s2.lattice, val2, '++++++')\n\n            if val2 > options.smin2:\n                str1 = s1.lattice.__str__(fmt=\"4.1f\", ltype=False)\n                str2 = s2.lattice.__str__(fmt=\"4.1f\", ltype=False)\n                label1 = f\"{str1} - {val1:.3f} - {s1.group.number}\"\n                label2 = f\"{str2} - {val2:.3f} - {s2.group.number}\"\n                pxrds.append((pxrd1, label1, pxrd2, label2))\n                with open(options.out, 'a+') as f:\n                    f.writelines(s1.to_file(header=label1))\n                    f.writelines(s2.to_file(header=label2))\n\n                fig, (ax1, ax2) = plt.subplots(nrows=1, ncols=2, figsize=(12, 4))\n\n                item1 = label1.split('-')\n                item2 = label2.split('-')\n                cell1, sim1, spg1 = item1[0], item1[1], item1[2].strip()\n                cell2, sim2, spg2 = item2[0], item2[1], item2[2].strip()\n\n                l1 = f\"Init. Similarity: {sim1} ({spg1})\"\n                l2 = f\"Opt.  Similarity: {sim2} ({spg2})\"\n\n                ax1.plot(ref_pxrd[0], ref_pxrd[1], 'black', label=l1, lw=1.0, alpha=0.5)\n                ax2.plot(ref_pxrd[0], ref_pxrd[1], 'black', label=l2, lw=1.0, alpha=0.5)\n                ax1.plot(pxrd1[0], pxrd1[1], 'b:', label=cell1, lw=1.2, alpha=0.5)\n                ax2.plot(pxrd2[0], pxrd2[1], 'b:', label=cell2, lw=1.2, alpha=0.5)\n\n                ax1.set_xlabel('2θ (degrees)')\n                ax1.set_ylabel('Intensity (a.u.)')\n                ax2.set_xlabel('2θ (degrees)')\n                ax2.set_ylabel('Intensity (a.u.)')\n\n                ax1.legend()\n                ax2.legend()\n\n                fig.suptitle(f'PXRD Match {i+1}')\n                fig.tight_layout()\n\n                fig.savefig(f\"pxrd_match_{i+1}.png\", dpi=150)\n                plt.close(fig)\n\n\n\n    if len(pxrds) == 0:\n        raise ValueError(\"No PXRDs found that match the reference PXRD well.\")\n    else:\n        print(\"PXRDs found:\", len(pxrds))\n\n    #print(\"Saving individual PXRD match figures...\")\n    #for i, (pxrd1, label1, pxrd2, label2) in enumerate(pxrds):\n    #print(f\"Saved {len(pxrds)} individual PXRD match figures.\")\n"
  },
  {
    "path": "pyxtal/XRD_indexer.py",
    "content": "\"\"\"\nModule for PXRD indexing and lattice parameter estimation.\n\"\"\"\nfrom pyxtal import pyxtal\nfrom pyxtal.lattice import Lattice\nimport numpy as np\nfrom itertools import combinations\nfrom pyxtal.symmetry import rf, Group, get_bravais_lattice, get_lattice_type, generate_possible_hkls\nfrom pyxtal.database.element import Element\nfrom collections import defaultdict\n\ndef find_wp_assignments(comp, ids, nums):\n    \"\"\"\n    Assigns Wyckoff position IDs to a composition. This function can handle\n    cases where a composition number is a sum of multiple Wyckoff multiplicities.\n\n    Args:\n        comp (list): The target composition counts, e.g., [18, 6].\n        ids (list): The list of Wyckoff position IDs, e.g., [1, 1, 6, 8, 9].\n        nums (list): The corresponding multiplicities for each ID, e.g., [8, 8, 4, 2, 2].\n\n    Returns:\n        list: A list of all possible valid assignments. Each assignment is a list\n              of lists, where each inner list contains the WP IDs for an element.\n    \"\"\"\n\n    # Pair IDs with their multiplicities and indices for unique tracking\n    wp_info = list(zip(ids, nums, range(len(ids))))\n\n    # --- Helper function to find all subsets that sum to a target ---\n    def find_subsets(target, available_wps, start_index=0, current_subset=[]):\n        if target == 0:\n            yield current_subset\n            return\n        if target < 0 or start_index == len(available_wps):\n            return\n\n        for i in range(start_index, len(available_wps)):\n            wp_id, wp_num, original_index = available_wps[i]\n\n            # To handle duplicate numbers, we only proceed if this is the first\n            # occurrence or if the previous identical element was not chosen.\n            #if i > start_index and available_wps[i][1] == available_wps[i-1][1]:\n            #    continue\n\n            # Recurse with the current element included\n            yield from find_subsets(\n                target - wp_num,\n                available_wps,\n                i + 1,\n                current_subset + [available_wps[i]]\n            )\n\n    # --- Main backtracking solver ---\n    solutions = []\n\n    def solve(comp_targets, current_assignment, available_wps):\n        if not comp_targets:\n            # Sort the assignment by the original index before storing\n            sorted_assignment = sorted(current_assignment, key=lambda x: x[0])\n            # Extract just the WP lists in the correct order\n            final_solution = [part for index, part in sorted_assignment]\n            solutions.append(final_solution)\n            return\n\n        original_index, target_comp = comp_targets[0]\n        remaining_comp = comp_targets[1:]\n\n        # Find all possible ways to form the target composition number\n        possible_subsets = list(find_subsets(target_comp, available_wps))\n\n        for subset in possible_subsets:\n            # For each valid subset, create a new assignment\n            new_assignment_part = [wp[0] for wp in subset] # Get just the IDs\n\n            # Determine the remaining available WPs for the next recursive call\n            used_indices = {wp[2] for wp in subset}\n            next_available_wps = [wp for wp in available_wps if wp[2] not in used_indices]\n\n            # Recurse, adding the original index along with the assignment part\n            solve(remaining_comp, current_assignment + [(original_index, new_assignment_part)], next_available_wps)\n\n    # Pair composition values with their original indices\n    indexed_comp = list(enumerate(comp))\n    # Sort by composition value (descending) to prune search space faster\n    sorted_indexed_comp = sorted(indexed_comp, key=lambda x: x[1], reverse=True)\n\n    solve(sorted_indexed_comp, [], wp_info)\n\n    # --- Remove duplicate solutions ---\n    # The backtracking algorithm can produce solutions that are identical in content\n    # but were arrived at through different paths (e.g., choosing identical\n    # input WPs in a different order). We remove these duplicates here.\n    unique_solutions = []\n    seen = set()\n    for sol in solutions:\n        # Convert the solution to a canonical, hashable representation\n        # by sorting each inner list and converting the whole structure to tuples.\n        canonical_sol = tuple(tuple(sorted(part)) for part in sol)\n        if canonical_sol not in seen:\n            seen.add(canonical_sol)\n            unique_solutions.append(sol)\n\n    return unique_solutions\n\n\ndef get_cell_params(bravais, hkls, two_thetas, wave_length=1.54184):\n    \"\"\"\n    Calculate cell parameters for a given set of hkls.\n\n    Args:\n        bravais (int): Bravais lattice type (0-13)\n        hkls: list of (h, k, l) tuples\n        two_thetas: list of 2theta values\n        wave_length: X-ray wavelength, default is Cu K-alpha\n    \"\"\"\n    hkls = np.array(hkls)\n    two_thetas = np.array(two_thetas)\n\n    # Convert to d-spacings\n    thetas = np.radians(two_thetas / 2)\n    d_spacings = wave_length / (2 * np.sin(thetas))\n\n    cells = []\n    ltype = get_lattice_type(bravais)\n    if ltype == 6:  # cubic, only need a\n        h_sq_sum = np.sum(hkls**2, axis=1)\n        cells = d_spacings * np.sqrt(h_sq_sum)\n        #for m in range(len(cells)): print(cells[m], hkls[m], d_spacings[m], two_thetas[m])\n        mask = cells < 50.0\n        cells = cells[mask]\n        cells = np.reshape(cells, [len(cells), 1])\n        hkls_out = hkls[mask]\n\n    elif ltype == 5:  #  hexagonal, need a and c\n        # need two hkls to determine a and c\n        len_solutions = len(hkls) // 2\n        ds = (2 * np.sin(thetas) / wave_length)**2\n        A = np.zeros([len(hkls), 2])\n        A[:, 0] = 4/3 * (hkls[:, 0] ** 2 + hkls[:, 0] * hkls[:, 1] + hkls[:, 1] ** 2)\n        A[:, 1] = hkls[:, 2] ** 2\n        B = np.reshape(ds, [len_solutions, 2])\n        A = np.reshape(A, [len_solutions, 2, 2])#; print(A.shape, B.shape)\n        xs = np.linalg.solve(A, B)#; print(xs); import sys; sys.exit()\n        mask1 = np.all(xs[:, :] > 0, axis=1)\n        hkls_out = np.reshape(hkls, (len_solutions, 6))\n        hkls_out = hkls_out[mask1]\n        xs = xs[mask1]\n        cells = np.sqrt(1/xs)\n        mask2 = cells[:, 0] < 50.0\n        cells = cells[mask2]\n        hkls_out = hkls_out[mask2]\n\n    elif ltype == 4:  # tetragonal, need a and c\n        # need two hkls to determine a and c\n        len_solutions = len(hkls) // 2\n        ds = (2 * np.sin(thetas) / wave_length)**2\n        A = np.zeros([len(hkls), 2])\n        A[:, 0] = hkls[:, 0] ** 2 + hkls[:, 1] ** 2\n        A[:, 1] = hkls[:, 2] ** 2\n        B = np.reshape(ds, [len_solutions, 2])\n        A = np.reshape(A, [len_solutions, 2, 2])#; print(A.shape, B.shape)\n        xs = np.linalg.solve(A, B)#; print(xs); import sys; sys.exit()\n        mask1 = np.all(xs[:, :] > 0, axis=1)\n        hkls_out = np.reshape(hkls, (len_solutions, 6))\n        hkls_out = hkls_out[mask1]\n        xs = xs[mask1]\n        cells = np.sqrt(1/xs)\n        mask2 = np.all(cells[:, :2] < 50.0, axis=1)\n        cells = cells[mask2]\n        hkls_out = hkls_out[mask2]\n\n    elif ltype == 3:  # orthorhombic, need a, b, c\n        # need three hkls to determine a, b, c\n        len_solutions = len(hkls) // 3\n        ds = (2 * np.sin(thetas) / wave_length)**2\n        A = np.zeros([len(hkls), 3])\n        A[:, 0] = hkls[:, 0] ** 2\n        A[:, 1] = hkls[:, 1] ** 2\n        A[:, 2] = hkls[:, 2] ** 2\n        B = np.reshape(ds, [len_solutions, 3])\n        A = np.reshape(A, [len_solutions, 3, 3])\n        xs = np.linalg.solve(A, B)#; print(xs); import sys; sys.exit()\n        mask1 = np.all(xs[:, :] > 0, axis=1)\n        hkls_out = np.reshape(hkls, (len_solutions, 9))\n        hkls_out = hkls_out[mask1]\n        xs = xs[mask1]\n        cells = np.sqrt(1/xs)\n        mask2 = np.all(cells[:, :3] < 65.0, axis=1)\n        cells = cells[mask2]\n        hkls_out = hkls_out[mask2]\n\n    elif ltype == 2:  # monoclinic, need a, b, c, beta\n        # need four hkls to determine a, b, c, beta\n        len_solutions = len(hkls) // 4\n        thetas = np.radians(two_thetas/2)\n        ds = (2 * np.sin(thetas) / wave_length)**2\n        # hkls (4*N, 3) A=> N, 4, 4\n        A = np.zeros([len(hkls), 4])\n        A[:, 0] = hkls[:, 0] ** 2\n        A[:, 1] = hkls[:, 1] ** 2\n        A[:, 2] = hkls[:, 2] ** 2\n        A[:, 3] = hkls[:, 0] * hkls[:, 2]\n        B = np.reshape(ds, [len_solutions, 4])\n        A = np.reshape(A, [len_solutions, 4, 4])#; print(A.shape, B.shape)\n        xs = np.linalg.solve(A, B)#; print(xs); import sys; sys.exit()\n        mask1 = np.all(xs[:, :3] > 0, axis=1)\n        hkls_out = np.reshape(hkls, (len_solutions, 12))#;print(hkls.shape, mask1.shape, A.shape)\n        hkls_out = hkls_out[mask1]\n        xs = xs[mask1]\n\n        cos_betas = -xs[:, 3] / (2 * np.sqrt(xs[:, 0] * xs[:, 2]))\n        masks = np.abs(cos_betas) <= 1/np.sqrt(2)\n        xs = xs[masks]\n        hkls_out = hkls_out[masks]\n\n        cos_betas = cos_betas[masks]\n        sin_betas = np.sqrt(1 - cos_betas ** 2)\n        cells = np.zeros([len(xs), 4])\n        cells[:, 1] = np.sqrt(1/xs[:, 1])\n        cells[:, 3] = np.degrees(np.arccos(cos_betas))\n        cells[:, 0] = np.sqrt(1/xs[:, 0]) / sin_betas\n        cells[:, 2] = np.sqrt(1/xs[:, 2]) / sin_betas\n\n        # force angle to be less than 90\n        mask = cells[:, 3] > 90.0\n        cells[mask, 3] = 180.0 - cells[mask, 3]\n\n        mask2 = np.all(cells[:, :3] < 50.0, axis=1)\n        cells = cells[mask2]\n        hkls_out = hkls_out[mask2]\n        #print(cells)\n    else:\n        msg = \"Only cubic, tetragonal, hexagonal, and orthorhombic systems are supported.\"\n        raise NotImplementedError(msg)\n\n    return cells, hkls_out\n\ndef get_d_hkl_from_cell(bravais, cells, h, k, l):\n    \"\"\"\n    Estimate the maximum hkl indices to consider based on the cell parameters and maximum 2theta.\n\n    Args:\n        bravais (int): Bravais lattice type (1-15)\n        cells: cell parameters\n        h: h index\n        k: k index\n        l: l index\n    \"\"\"\n    ltype = get_lattice_type(bravais)\n    if ltype == 6:  # cubic\n        d = cells[:, 0] / np.sqrt(h**2 + k**2 + l**2)\n    elif ltype == 5:  # hexagonal\n        a, c = cells[:, 0], cells[:, 1]\n        d = 1 / np.sqrt((4/3) * (h**2 + h*k + k**2) / a**2 + l**2 / c**2)\n    elif ltype == 4:  # tetragonal\n        a, c = cells[:, 0], cells[:, 1]\n        d = 1 / np.sqrt((h**2 + k**2) / a**2 + l**2 / c**2)\n    elif ltype == 3:  # orthorhombic\n        a, b, c = cells[:, 0], cells[:, 1], cells[:, 2]\n        d = 1 / np.sqrt(h**2 / a**2 + k**2 / b**2 + l**2 / c**2)\n    elif ltype == 2:  # monoclinic\n        a, b, c, beta = cells[:, 0], cells[:, 1], cells[:, 2], np.radians(cells[:, 3])\n        sin_beta = np.sin(beta)\n        d = 1 / np.sqrt((h**2 / (a**2 * sin_beta**2)) + (k**2 / b**2) + (l**2 / (c**2 * sin_beta**2)) -\n                (2 * h * l * np.cos(beta) / (a * c * sin_beta**2)))\n    else:\n        raise NotImplementedError(\"triclinic systems are not supported.\")\n    return d\n\ndef calc_two_theta_from_cell(bravais, hkls, cells, wave_length=1.54184):\n    \"\"\"\n    Calculate expected 2theta values from hkls and cell parameters.\n\n    Args:\n        bravais (int): Bravais lattice type (1-15)\n        hkls: hkl indices (np.array)\n        cells: cell parameters\n        wave_length: X-ray wavelength, default is Cu K-alpha\n    \"\"\"\n    h, k, l = hkls[:, 0], hkls[:, 1], hkls[:, 2]\n    ltype = get_lattice_type(bravais)\n    if ltype == 6:  # cubic\n        a = cells[0]\n        d = a / np.sqrt(h**2 + k**2 + l**2)#; print('ddddd', d)\n    elif ltype == 5:  # hexagonal\n        a, c = cells[0], cells[1]\n        d = 1 / np.sqrt((4/3) * (h**2 + h*k + k**2) / a**2 + l**2 / c**2)\n    elif ltype == 4:  # tetragonal\n        a, c = cells[0], cells[1]\n        d = 1 / np.sqrt((h**2 + k**2) / a**2 + l**2 / c**2)\n    elif ltype == 3:  # orthorhombic\n        a, b, c = cells[0], cells[1], cells[2]\n        d = 1 / np.sqrt(h**2 / a**2 + k**2 / b**2 + l**2 / c**2)\n    elif ltype == 2:  # monoclinic\n        a, b, c, beta = cells[0], cells[1], cells[2], np.radians(cells[3])\n        sin_beta = np.sin(beta)\n        d = 1 / np.sqrt((h**2 / (a**2 * sin_beta**2)) + (k**2 / b**2) + (l**2 / (c**2 * sin_beta**2)) -\n                (2 * h * l * np.cos(beta) / (a * c * sin_beta**2)))\n    else:\n        raise NotImplementedError(\"triclinic systems are not supported.\")\n\n    # Handle cases where sin_theta > 1\n    sin_theta = wave_length / (2 * d)\n    valid = sin_theta <= 1#; print(d[~valid])\n    two_thetas = 2 * np.degrees(np.arcsin(sin_theta[valid]))\n    two_thetas = np.round(two_thetas, decimals=3)\n    two_thetas, ids = np.unique(two_thetas, return_index=True)\n    return two_thetas, hkls[valid][ids]\n\ndef get_seeds(bravais, hkls, two_thetas):\n    \"\"\"\n    Select all possible seed hkls from the provided hkls based on the space group.\n\n    Args:\n        bravais (int): Bravais lattice type (0-13)\n        hkls: list of (h, k, l) tuples\n        two_thetas: list of 2theta values\n\n    Returns:\n        seed_hkls: a list of hkls for seeding\n        seed_thetas: corresponding two_thetas\n    \"\"\"\n    seed_hkls = []\n    seed_thetas = []\n    # For cubic, we can select any hkl.\n    ltype = get_lattice_type(bravais)\n    if ltype == 6:  # cubic\n        seed_hkls, seed_thetas = hkls, two_thetas\n    # For hexagonal/tetragonal, select two hkls and avoid two (h,k,0) or (0,0,l) cases\n    elif ltype in [4, 5]:\n        # loop all possible pairs and exclude invalid ones\n        for i in range(len(hkls)-1):\n            h1, k1, l1 = hkls[i]\n            for j in range(i+1, len(hkls)):\n                h2, k2, l2 = hkls[j]\n                if (l1 == 0 and l2 == 0):\n                    continue\n                elif (h1 == 0 and k1 == 0) and (h2 == 0 and k2 == 0):\n                    continue\n                seed_hkls.append((h1, k1, l1))\n                seed_hkls.append((h2, k2, l2))\n                seed_thetas.append(two_thetas[i])\n                seed_thetas.append(two_thetas[j])\n\n    # For orthororhombic, select three hkls and avoid (h,0,0), (0,k,0), (0,0,l)\n    elif ltype == 3:\n        for i in range(len(hkls)-1):\n            h1, k1, l1 = hkls[i]\n            for j in range(i+1, len(hkls)):\n                h2, k2, l2 = hkls[j]\n                for k in range(j+1, len(hkls)):\n                    h3, k3, l3 = hkls[k]\n                    if (h1 == 0 and h2 == 0 and h3 == 0):\n                        continue\n                    elif (k1 == 0 and k2 == 0 and k3 == 0):\n                        continue\n                    elif (l1 == 0 and l2 == 0 and l3 == 0):\n                        continue\n                    # Note may still have something like (111), (222), (333)\n                    seed_hkls.append((h1, k1, l1))\n                    seed_hkls.append((h2, k2, l2))\n                    seed_hkls.append((h3, k3, l3))\n                    seed_thetas.append(two_thetas[i])\n                    seed_thetas.append(two_thetas[j])\n                    seed_thetas.append(two_thetas[k])\n    elif ltype == 2:  # monoclinic\n        for i in range(len(hkls)-1):\n            h1, k1, l1 = hkls[i]\n            for j in range(i+1, len(hkls)):\n                h2, k2, l2 = hkls[j]\n                for k in range(j+1, len(hkls)):\n                    h3, k3, l3 = hkls[k]\n                    for m in range(k+1, len(hkls)):\n                        h4, k4, l4 = hkls[m]\n                        if (h1 == 0 and h2 == 0 and h3 == 0 and h4 == 0):\n                            continue\n                        elif (k1 == 0 and k2 == 0 and k3 == 0 and k4 == 0):\n                            continue\n                        elif (l1 == 0 and l2 == 0 and l3 == 0 and l4 == 0):\n                            continue\n                        seed_hkls.append((h1, k1, l1))\n                        seed_hkls.append((h2, k2, l2))\n                        seed_hkls.append((h3, k3, l3))\n                        seed_hkls.append((h4, k4, l4))\n                        seed_thetas.append(two_thetas[i])\n                        seed_thetas.append(two_thetas[j])\n                        seed_thetas.append(two_thetas[k])\n                        seed_thetas.append(two_thetas[m])\n    else:\n        raise NotImplementedError(\"mono/tri-clinic systems are not supported.\")\n\n    return seed_hkls, seed_thetas\n\ndef get_unique_thetas(xrd, bravais):\n    ltype = get_lattice_type(bravais)\n    if ltype == 6:  # cubic\n        unique_thetas = xrd.pxrd[:20,0]\n    else:\n        # deal with (001, 002, 003) for spg < 195\n        int_counts = []\n        for jj in range(1, 5):\n            ratio = np.sin(np.radians(xrd.pxrd[jj, 0] / 2)) / np.sin(np.radians(xrd.pxrd[0, 0] / 2))\n            if ratio > 1.1 and abs(ratio - round(ratio)) < 0.01:\n                int_counts.append(jj)\n        # in case two are related\n        if 1 not in int_counts:\n            for jj in range(2, 10):\n                ratio = np.sin(np.radians(xrd.pxrd[jj, 0] / 2)) / np.sin(np.radians(xrd.pxrd[1, 0] / 2))\n                if ratio > 1.1 and abs(ratio - round(ratio)) < 0.01:\n                    int_counts.append(jj)\n\n        # if more than three ratios are close to integers, only keep the first peak\n        if len(int_counts) > 0:\n            unique_thetas = []\n            for jj in range(min(15, len(xrd.pxrd))):\n                if jj == 0 or jj not in int_counts:\n                    unique_thetas.append(xrd.pxrd[jj, 0])\n            unique_thetas = np.array(unique_thetas)\n            print('processed', unique_thetas)\n        else:\n            unique_thetas = xrd.pxrd[:min([15, len(xrd.pxrd)]), 0]\n\n    # Remove two consecutive peaks that are very close\n    filtered_thetas = [unique_thetas[0]]\n    for jj in range(1, len(unique_thetas)):\n        if abs(unique_thetas[jj] - unique_thetas[jj-1]) > 0.02:\n            filtered_thetas.append(unique_thetas[jj])\n    unique_thetas = np.array(filtered_thetas)\n    print(\"Final thetas:\", unique_thetas)\n    return unique_thetas\n\n\ndef get_cell_from_multi_hkls(bravais, hkls, two_thetas, long_thetas=None, wave_length=1.54184,\n                             tolerance=0.1, use_seed=True, trial_hkls=None,\n                             max_mismatch=20):\n    \"\"\"\n    Estimate the cell parameters from multiple (hkl, two_theta) inputs.\n    The idea is to use the Bragg's law to estimate the lattice parameters.\n    We need to run multiple trials and select the best one.\n\n    Args:\n        bravais (int): Bravais lattice type (0-13)\n        hkls: list of (h, k, l) tuples\n        two_thetas: list of 2theta values\n        long_thetas: array of  all observed 2theta values\n        wave_length: X-ray wavelength, default is Cu K-alpha\n        tolerance: tolerance for matching 2theta values, default is 0.1 degrees\n        use_seed: whether to use seed hkls for initial cell estimation\n        trial_hkls: pre-generated trial hkls to speed up calculation\n        max_mismatch: maximum number of mismatched peaks allowed\n\n    Returns:\n        cells: list of solutions\n    \"\"\"\n    if long_thetas is None: long_thetas = two_thetas\n\n    if use_seed:\n        seed_hkls, seed_thetas = get_seeds(bravais, hkls, two_thetas)#; print(seed_hkls, seed_thetas)\n        cells, hkls = get_cell_params(bravais, seed_hkls, seed_thetas, wave_length)#; print(cells)\n    else:\n        cells, hkls = get_cell_params(bravais, hkls, two_thetas, wave_length)#; print(cells)\n\n    if trial_hkls is None:\n        trial_hkls = generate_possible_hkls(bravais, 100, 100, 100)\n\n    #cells = np.array(cells)\n    if len(cells) == 0: return []\n    # keep cells up to 4 decimal places\n    if bravais <= 3:\n        cells[:, -1] = np.round(cells[:, -1], decimals=2)\n        cells[:, :3] = np.round(cells[:, :3], decimals=4)\n    elif bravais > 12:\n        cells = np.round(cells, decimals=5)\n\n    _, unique_ids = np.unique(cells, axis=0, return_index=True)\n    hkls = hkls[unique_ids]#; print(cells)  # remove duplicates\n    cells = cells[unique_ids]\n\n    # get the maximum h from assuming the cell[-1] is (h00)\n    d_100s = get_d_hkl_from_cell(bravais, cells, 1, 0, 0)\n    d_010s = get_d_hkl_from_cell(bravais, cells, 0, 1, 0)\n    d_001s = get_d_hkl_from_cell(bravais, cells, 0, 0, 1)\n    theta_100s = 2*np.degrees(np.arcsin(wave_length / (2 * d_100s)))\n    theta_010s = 2*np.degrees(np.arcsin(wave_length / (2 * d_010s)))\n    theta_001s = 2*np.degrees(np.arcsin(wave_length / (2 * d_001s)))\n    h_maxs = np.array(long_thetas[-1] / theta_100s, dtype=int); h_maxs[h_maxs > 100] = 100\n    k_maxs = np.array(long_thetas[-1] / theta_010s, dtype=int); k_maxs[k_maxs > 100] = 100\n    l_maxs = np.array(long_thetas[-1] / theta_001s, dtype=int); l_maxs[l_maxs > 100] = 100\n\n    solutions = []\n    for i, cell in enumerate(cells):\n        if cell.min() <= 2.0: continue  # skip too small cells\n        h_max, k_max, l_max = h_maxs[i], k_maxs[i], l_maxs[i]\n        mask = (trial_hkls[:,0] <= h_max) & (trial_hkls[:,1] <= k_max) & (trial_hkls[:,2] <= l_max)\n        test_hkls = trial_hkls[mask]\n        exp_thetas, exp_hkls = calc_two_theta_from_cell(bravais, test_hkls, cell, wave_length)\n        if len(exp_thetas) == 0: continue\n\n        errors_matrix_raw = long_thetas[:, np.newaxis] - exp_thetas[np.newaxis, :]\n        errors_matrix = np.abs(errors_matrix_raw)\n        within_tolerance = errors_matrix < tolerance\n        has_obs_match = np.any(within_tolerance, axis=1)\n        ids_matched = np.where(has_obs_match)[0]\n\n        if len(ids_matched) == len(long_thetas):\n            # Get the obs. peaks\n            matched_peaks = []\n            for id in ids_matched:\n                errors = errors_matrix[id]\n                obs_theta = long_thetas[id]\n                hkl_id = np.argmin(errors)\n                error = errors_matrix_raw[id, hkl_id]\n                matched_peaks.append((exp_hkls[hkl_id], obs_theta, error))\n\n            mis_obs_match = np.any(within_tolerance, axis=0)\n            ids_mis_matched = np.where(~mis_obs_match)[0]\n\n            mis_matched_peaks = []\n            for id in ids_mis_matched:\n                hkl = exp_hkls[id]\n                theta = exp_thetas[id]\n                if theta < long_thetas[-1] and abs(hkl).max() < 3:\n                    mis_matched_peaks.append((hkl, theta))\n\n            if len(mis_matched_peaks) <= max_mismatch:\n                solutions.append({\n                    'cell': cell,\n                    'matched_peaks': matched_peaks,\n                    'mis_matched_peaks': mis_matched_peaks,\n                    'id': hkls[i],\n                })\n                #if len(mis_matched_peaks) > 0:\n                #    print(cell, mis_matched_peaks)#; import sys; sys.exit()\n\n    return solutions\n\ndef get_cell_from_thetas(spg, long_thetas, N_add=5, max_mismatch=20, theta_tol=0.25,\n                         cell_tol=0.2, hkl_max=(2, 3, 10), max_square=20,\n                         N_batch=20, verbose=False):\n    \"\"\"\n    Estimate the cell parameters from multiple 2theta inputs.\n\n    Args:\n        spg (int): space group number (1-230)\n        long_thetas: list of 2theta values\n        N_add: number of extra peaks to consider beyond the number of hkls\n        max_mismatch: maximum number of mismatched peaks allowed\n        theta_tol: tolerance for matching 2theta values, default is 0.25 degrees\n        cell_tol: tolerance for considering two cells as the same, default is 0.2\n        N_batch: batch size for processing guesses\n        verbose: whether to print verbose output\n\n    Returns:\n        cells: list of solutions\n    \"\"\"\n    bravais = get_bravais_lattice(spg)\n    trial_hkls = generate_possible_hkls(bravais, 50, 50, 50)\n    unique_thetas = long_thetas\n    group = Group(spg)\n    h, k, l = hkl_max\n    guesses = group.generate_hkl_guesses(h, k, l, max_square=max_square,\n                                         verbose=True)\n    guesses = np.array(guesses)\n    print(\"Total guesses:\", len(guesses), unique_thetas)\n    sum_squares = np.sum(guesses**2, axis=(1,2))\n    sorted_indices = np.argsort(sum_squares)\n    guesses = guesses[sorted_indices]\n\n    n_peaks = len(guesses[0])\n    N = min([n_peaks + N_add, len(unique_thetas)])\n    available_peaks = long_thetas[:N]\n\n    thetas = []\n    for peak_combo in combinations(range(N), n_peaks):\n        thetas.extend(available_peaks[list(peak_combo)])\n    N_thetas = len(thetas) // n_peaks\n    thetas = np.array(thetas)\n    thetas = np.tile(thetas, N_batch)\n\n    results = []\n    cell_all = []\n\n    for i in range(len(guesses)//N_batch + 1):\n        if i == len(guesses)//N_batch:\n            N_batch = len(guesses) - N_batch * i\n            if N_batch == 0:\n                break\n            else:\n                thetas = thetas[:N_thetas * n_peaks * N_batch]\n        hkls_t = np.tile(guesses[N_batch*i:N_batch*(i+1)], (1, N_thetas, 1))\n        hkls_t = np.reshape(hkls_t, (-1, 3))\n        sols = get_cell_from_multi_hkls(bravais, hkls_t, thetas, long_thetas,\n                                        use_seed=False,\n                                        trial_hkls=trial_hkls,\n                                        tolerance=theta_tol,\n                                        max_mismatch=max_mismatch)\n        for sol in sols:\n            guess, match, mis_match = sol['id'], sol['matched_peaks'], sol['mis_matched_peaks']\n            if len(match) == len(long_thetas):\n                cell1 = sol['cell'] #np.sort(np.array(sol['cell']))\n                d2 = np.sum(guess**2)\n\n                if len(cell_all) == 0:\n                    cell_all = np.array([cell1])\n                    if verbose:\n                        print(f\"Guess: {guess}, {d2}, {cell1}, {len(mis_match)}/{len(long_thetas)}\")\n                    results.append(sol)\n                else:\n                    diffs = np.sum((cell_all - cell1)**2, axis=1)\n                    if len(cell_all[diffs < cell_tol]) == 0:\n                        if verbose:\n                            print(f\"Guess: {guess}, {d2}, {cell1}, {len(mis_match)}/{len(long_thetas)}\")\n                        results.append(sol)\n                        cell_all = np.vstack([cell_all, cell1])\n\n    return results\n\nclass XtalManager:\n    def __init__(self, spg, species, numIons, cell, WPs):\n        \"\"\"\n        Crystal Manager is used to handle crystal structure related operations.\n\n        Args:\n            spg (int): Space group number\n            WPs (list): Wyckoff positions\n            cell (list): Cell parameters\n        \"\"\"\n        self.spg = Group(spg)\n        self.WPs = WPs\n        self.cell = cell\n        self.species = species\n        self.numIons = numIons\n        dof = 0\n        sites = [[] for _ in range(len(species))]\n        for i, wp in enumerate(WPs):\n            for _wp in wp:\n                dof += self.spg[_wp].get_dof()\n                sites[i].append(self.spg[_wp].get_label())\n        self.dof = dof\n        self.sites = sites\n        print(f\"Space group: {spg}, Wyckoff positions: {sites}, DOF: {dof}\")\n\n    def generate_structure(self):\n        \"\"\"\n        Generate the crystal structure from the Wyckoff positions and cell parameters.\n        \"\"\"\n        xtal = pyxtal()\n        xtal.from_random(3, self.spg, self.species, self.numIons,\n                         lattice = self.cell, sites=self.sites, force_pass=True)\n        return xtal\n\nclass WPManager:\n    def __init__(self, spg, cell, composition={'Si': 1, 'O': 2}, max_wp=8, max_Z=8, max_dof=10):\n        \"\"\"\n        WP Manager is used to infer likely Wyckoff positions from the given space group,\n        cell, composition, and density constraint.\n\n        Args:\n            spg (int): Space group number\n            cell (list): Cell parameters\n            composition (dict): Elemental composition\n            max_wp (int): Maximum number of Wyckoff positions to consider\n            max_Z (int): Maximum Z value to consider for volume estimation\n            max_dof (int): Maximum degrees of freedom to consider\n        \"\"\"\n        from pandas import read_csv\n        df = read_csv(rf(\"pyxtal\", \"database/spg_num_wps_raw.csv\"))\n        self.spg = spg\n        self.df = df[df['spg'] == self.spg]\n        self.cell = cell\n        self.composition = composition\n        self.comp = [composition[key] for key in composition.keys()]\n        self.group = Group(spg)\n        self.orders = self.group.get_orders()\n        self.lattice = Lattice.from_1d_representation(cell, self.group.lattice_type)\n        volume = self.lattice.volume\n        self.max_wp = max_wp\n        self.max_dof = max_dof\n        vol = [0, 0]\n        for el in composition.keys():\n            sp = Element(el)\n            vol1, vol2 = 0.8*sp.covalent_radius**3, 4*sp.covalent_radius**3 #sp.vdw_radius**3\n            vol[0] += composition[el] * vol1 * np.pi * 4 / 3\n            vol[1] += composition[el] * vol2 * np.pi * 4 / 3\n\n        self.Zs = (int(np.round(volume / vol[1])), int(np.round(volume / vol[0])))\n        if self.Zs[1] > max_Z:\n            self.Zs = (self.Zs[0], max_Z)\n        print(f\"Estimated Z range: {self.Zs} {volume} {vol}\")\n\n    def get_wyckoff_positions_bak(self):\n        \"\"\"\n        Infer possible Wyckoff position combinations based on the composition and Z range.\n        \"\"\"\n        sols = []\n        for Z in range(self.Zs[0], self.Zs[1]+1):\n            comp = [n * Z for n in self.comp]\n            wps, _, ids = self.group.list_wyckoff_combinations(comp, numWp=(0, self.max_wp))\n            indices = sorted(range(len(ids)), key=lambda i: sum(len(x) for x in ids[i]))\n            ids = [ids[i] for i in indices]\n            wps = [wps[i] for i in indices]\n            if len(ids) > 0:\n                #print(f\"Z={Z}: Found {len(ids)} Wyckoff position combinations.\")\n                wp_lists = []\n                for id in ids:\n                    # Check if the combination is alternative to existing ones\n                    duplicate = False\n                    tmp = [len(self.group)-1-item for sublist in id for item in sublist]\n                    for order in self.orders:\n                        tmp_list = order[tmp].tolist()\n                        #print(\"Checking order:\", wps[i], tmp, tmp_list)\n                        if tmp_list in wp_lists:\n                            duplicate = True\n                            #print(wps[i], \"is duplicate\")\n                            break\n                    if not duplicate:\n                        dof = [self.group[wp].get_dof() for sublist in id for wp in sublist]\n                        wp_lists.append(tmp)\n                        sols.append((self.spg, comp, self.lattice, id, len(tmp), sum(dof)))\n                        #print(\"Added:\", self.spg, comp, id)\n            print(f\"Z={Z}: Kept {len(sols)} Wyckoff position combinations.\")\n            # sort sols by DOF and number of WPs\n            sols = sorted(sols, key=lambda x: (x[5], x[4]))\n        return sols\n\n    def get_wyckoff_positions(self):\n        \"\"\"\n        Infer possible Wyckoff position combinations based on the composition and Z range.\n        \"\"\"\n        sols = []\n        for Z in range(self.Zs[0], self.Zs[1]+1):\n            df_z = self.df[self.df['n_atoms'] == Z * sum(self.comp)]\n            #print(df_z)\n            if len(df_z) == 0: continue\n            #print(f\"Z={Z}: Found {len(df_z)} Wyckoff position combinations.\")\n            comp = [n * Z for n in self.comp]\n            wp_lists = []\n            for _, row in df_z.iterrows():\n                ids = [int(x) for x in row['wps'].split('-')]\n                nums = [self.group[id].multiplicity for id in ids]\n                if len(ids) > self.max_wp: continue\n                solutions = find_wp_assignments(comp, ids, nums)\n                #print(comp, ids, nums, solutions)#; import sys; sys.exit()\n                for sol in solutions:\n                    dof = [self.group[w].get_dof() for wp in sol for w in wp]\n                    #print([self.group[w].get_label() for wp in sol for w in wp])\n                    if sum(dof) > self.max_dof: continue\n\n                    duplicate = False\n                    tmp = [len(self.group)-1-item for sublist in sol for item in sublist]\n                    for order in self.orders:\n                        tmp_list = order[tmp].tolist()\n                        #print(\"Checking order:\", wps[i], tmp, tmp_list)\n                        if tmp_list in wp_lists:\n                            duplicate = True\n                            #print(wps[i], \"is duplicate\")\n                            break\n                    if not duplicate:\n                        wp_lists.append(tmp)\n                        sols.append((self.spg, comp, self.lattice, sol, len(sol), sum(dof)))\n                        #print(\"Added:\", self.spg, comp, ids)\n            print(f\"Z={Z}: Kept {len(sols)} Wyckoff position combinations.\")\n            # sort sols by DOF and number of WPs\n            #import sys; sys.exit()\n        sols = sorted(sols, key=lambda x: (x[5], x[4]))\n        return sols\n\n\n\nclass CellManager:\n    def __init__(self, spg, params, missing):\n        # Store raw parameters\n        self.raw_params = params\n        # Sort dimensions immediately for consistent comparison (e.g. [5, 44] == [44, 5])\n        #self.dims = np.sort(np.array(params))\n        self.dims = np.array(params)\n        self.missing = missing\n        # Proxy for size (Area for 2D, Volume for 3D) used for sorting\n        self.group = Group(spg)\n        lattice = Lattice.from_1d_representation(self.dims, self.group.lattice_type)\n        self.size_proxy = lattice.volume\n\n    def is_supercell_of(self, other, tol=0.05):\n        \"\"\"Instance method: Check if 'self' is an integer multiple (supercell) of 'other'.\"\"\"\n        ratios = self.dims / other.dims\n\n        # Check if ratios are close to integers (1, 2, 3...)\n        is_integer = np.all(np.abs(ratios - np.round(ratios)) < tol)\n        # Check if it is actually larger (at least one dimension is > 1.01x)\n        is_larger = np.any(np.round(ratios) > 1.01)\n\n        return is_integer and is_larger\n\n    def is_similar_to(self, other, tol=0.04):\n        \"\"\"Instance method: Check if 'self' is nearly identical to 'other' (duplicate).\"\"\"\n        diff = np.abs(self.dims - other.dims) / other.dims\n        return np.all(diff < tol)\n\n    def __repr__(self):\n        return f\"Cell: {self.dims}, Missing: {self.missing}\"\n\n    @classmethod\n    def consolidate(cls, raw_data, merge_tol=0.04, supercell_tol=0.05, max_solutions=5, verbose=False):\n        \"\"\"\n        Class method: Takes raw list of [dims, missing], instantiates objects,\n        sorts, merges duplicates, removes supercells, and returns the clean list.\n        \"\"\"\n        # 1. Instantiate objects\n        solutions = [cls(d[0], d[1], d[2]) for d in raw_data]\n\n        # 2. Sort: Primary = Fewest Missing (Quality), Secondary = Smallest Size (Parsimony)\n        solutions.sort(key=lambda x: (x.size_proxy, x.missing))\n\n        kept_solutions = []\n        indices_to_skip = set()\n\n        print(f\"{'Status':<10} | {'Dims (Sorted)':<28} | {'Missing':<8} | {'Note'}\")\n        print(\"-\" * 75)\n\n        for i in range(len(solutions)):\n            if i in indices_to_skip:\n                continue\n\n            base = solutions[i]\n            kept_solutions.append(base)\n            print(f\"{'KEEP':<10} | {str(base.dims):<28} | {base.missing:<8} | Best candidate\")\n            if len(kept_solutions) >= max_solutions:\n                print(f\"Reached maximum of {max_solutions} solutions, stopping further consolidation.\")\n                break\n\n            # Sweep through the rest of the list to find duplicates or supercells\n            for j in range(i + 1, len(solutions)):\n                if j in indices_to_skip:\n                    continue\n\n                candidate = solutions[j]\n\n                # CHECK 1: Merge (Duplicate)\n                if candidate.is_similar_to(base, tol=merge_tol):\n                    if candidate.missing < base.missing:\n                        if verbose:\n                            print(f\"{'  SWAP':<10} | {str(candidate.dims):<28} | {candidate.missing:<8} | Better than base, replacing\")\n                        # Replace the last added solution (which was the old base)\n                        kept_solutions[-1] = candidate\n                        # Update base for future comparisons in this inner loop\n                        base = candidate\n                    else:\n                        # Otherwise, just drop the candidate\n                        if verbose:\n                            print(f\"{'  MERGE':<10} | {str(candidate.dims):<28} | {candidate.missing:<8} | Similar to base (dropped)\")\n                    continue\n\n                # CHECK 2: Drop (Supercell Artifact)\n                if candidate.is_supercell_of(base, tol=supercell_tol):\n                    if candidate.missing > base.missing + 2:\n                        indices_to_skip.add(j)\n                        ratio = np.round(candidate.dims / base.dims, 1)\n                        if verbose:\n                            print(f\"{'  DROP':<10} | {str(candidate.dims):<28} | {candidate.missing:<8} | Supercell {ratio}\")\n        #if verbose:\n        print(f\"Consolidation: {len(kept_solutions)} unique solutions retained from {len(raw_data)} entries.\")\n        return kept_solutions\n\nif __name__ == \"__main__\":\n    data = [([9, 3], [2, 2, 2, 2], [3, 3, 3, 3], 1),\n            ([4, 4, 4, 2, 4], [10, 10, 11, 12, 13], [4, 4, 4, 4, 2], 4),\n           ]\n    for d in data:\n        comp, ids, nums, n = d\n        sols = find_wp_assignments(comp, ids, nums)\n        print('input: ', d, '\\n', sols)\n\n    if False:\n        from pyxtal import pyxtal\n        from time import time\n        np.set_printoptions(precision=4, suppress=True)\n\n        xtal = pyxtal()\n        data = []\n        for cif in [\n            #'pyxtal/database/cifs/JVASP-97915.cif', # Fm-3m, 0.9s\n            #'pyxtal/database/cifs/JVASP-86205.cif', # Im-3 204, 0.1s\n            #'pyxtal/database/cifs/JVASP-28634.cif', # P3m1, 0.1s\n            'pyxtal/database/cifs/JVASP-85365.cif', # P4/mmm, 0.6s\n            'pyxtal/database/cifs/JVASP-62168.cif', # Pnma, 33s\n            #'pyxtal/database/cifs/JVASP-98225.cif', # P21/c, 14s\n            #'pyxtal/database/cifs/JVASP-50935.cif', # Pm, 10s\n            #'pyxtal/database/cifs/JVASP-28565.cif', # Cm, 100s\n            #'pyxtal/database/cifs/JVASP-36885.cif', # Cm, 100s\n            #'pyxtal/database/cifs/JVASP-42300.cif', # C2, 178s\n            #'pyxtal/database/cifs/JVASP-47532.cif', # P2/m,\n            #'pyxtal/database/cifs/JVASP-25063.cif', # bad slab\n            #'pyxtal/database/cifs/JVASP-119184.cif', # Imm2 44\n            #'pyxtal/database/cifs/JVASP-141590.cif', # R-3m 166\n            #'pyxtal/database/cifs/JVASP-45907.cif', # R-3m 166\n            #'pyxtal/database/cifs/JVASP-119739.cif', # C2/m 12\n            ]:\n            t0 = time()\n            xtal.from_seed(cif)\n            xrd = xtal.get_XRD(thetas=[0, 120], SCALED_INTENSITY_TOL=0.5)\n            cell_ref = np.sort(np.array(xtal.lattice.encode()))\n            long_thetas = xrd.pxrd[:20, 0]\n            spg = xtal.group.number\n            bravais = get_bravais_lattice(spg)\n            print(\"\\n\", cif, xtal.lattice, xtal.group.symbol, spg)\n            print(xrd.by_hkl(N_max=20))\n\n            # Get the a list of hkl guesses and sort them by d^2\n            if bravais > 10:\n                N_add, N_batch = 3, 5\n            elif bravais > 2:\n                N_add, N_batch = 5, 20\n            else:\n                N_add, N_batch = 8, 20\n\n            if bravais >= 7:\n                guesses = xtal.group.generate_hkl_guesses(2, 3, 10, max_square=101, total_square=110, verbose=True)\n            elif spg >= 3:\n                guesses = xtal.group.generate_hkl_guesses(2, 2, 5, max_square=29, total_square=40, verbose=True)\n                #guesses = xtal.group.generate_hkl_guesses(2, 2, 2, max_square=29, total_square=40, verbose=True)\n            else:\n                if bravais == 2:  # monoclinic-S\n                    guesses = xtal.group.generate_hkl_guesses(3, 3, 5, max_square=29, total_square=40, verbose=True)\n                else:\n                    guesses = xtal.group.generate_hkl_guesses(4, 3, 4, max_square=29, total_square=35, verbose=True)\n                    #guesses = xtal.group.generate_hkl_guesses(3, 3, 3, max_square=15, total_square=36, verbose=True)\n\n            guesses = np.array(guesses)\n            print(\"Total guesses:\", len(guesses))\n            sum_squares = np.sum(guesses**2, axis=(1,2))\n            sorted_indices = np.argsort(sum_squares)\n            guesses = guesses[sorted_indices]\n            if len(guesses) > 500000: guesses = guesses[:500000]\n            #guesses = np.array([[[0, 0, 2], [1, 0, 1], [0, 1, 3]]])\n            #guesses = np.array([[[2, 0, 0], [1, 1, 0], [0, 0, 2], [2, 0, -2]]])\n            #guesses = np.array([[[0, 0, -1], [1, 1, 0], [1, 1, -1], [0, 2, -5]]])\n\n            # Check the quality of each (hkl, 2theta) solutions\n            cell2 = np.sort(np.array(xtal.lattice.encode()))\n            if spg <= 15 and cell2[3] > 90: cell2[3] = 180 - cell2[3]\n\n            trial_hkls = generate_possible_hkls(bravais, 100, 100, 100)\n\n            # Try each combination of n peaks from the first n+1 peaks\n            unique_thetas = get_unique_thetas(xrd, bravais)\n            n_peaks = len(guesses[0])\n            N = min(n_peaks + N_add, len(unique_thetas))\n            available_peaks = unique_thetas[:N]; print(available_peaks)\n\n            thetas = []\n            for peak_combo in combinations(range(n_peaks + N_add), n_peaks):\n                thetas.extend(available_peaks[list(peak_combo)])\n            N_thetas = len(thetas) // n_peaks\n            thetas = np.array(thetas)\n            thetas = np.tile(thetas, N_batch)\n            found = False\n            d2 = 0\n            cell_all = []\n            for i in range(len(guesses)//N_batch + 1):\n                if i == len(guesses)//N_batch:\n                    N_batch = len(guesses) - N_batch * i\n                    if N_batch == 0:\n                        break\n                    else:\n                        thetas = thetas[:N_thetas * n_peaks * N_batch]\n                hkls_t = np.tile(guesses[N_batch*i:N_batch*(i+1)], (1, N_thetas, 1))\n                hkls_t = np.reshape(hkls_t, (-1, 3))#, order='F')\n                solutions = get_cell_from_multi_hkls(bravais, hkls_t, thetas, long_thetas,\n                                                     tolerance=0.2,\n                                                     use_seed=False,\n                                                     trial_hkls=trial_hkls)\n                if i % 1000 == 0:\n                    print(f\"Processed {N_batch*i}/{d2}, found {len(cell_all)} cells.\")\n\n                for sol in solutions:\n                    cell1 = np.sort(np.array(sol['cell']))\n                    N_mis = len(sol['mis_matched_peaks'])\n                    guess = sol['id']\n                    d2 = np.sum(guess**2)\n                    if len(cell_all) == 0:\n                        cell_all = np.array([np.sort(np.array(sol['cell']))])\n                        print(f\"Guess: {guess}, {d2}/{N_mis}/0 -> {cell1}\")\n                    else:\n                        diffs = np.sum((cell_all - cell1)**2, axis=1)\n                        if len(cell_all[diffs < 0.1]) == 0:\n                            print(f\"Guess: {guess}, {d2}/{N_mis}/{len(cell_all)} -> {cell1}\")\n                            cell_all = np.vstack((cell_all, cell1))\n                            if len(cell_all) >= 100 or np.max(cell1) > 100: # stop if find very big cells\n                                found = True\n                                break\n\n                if found:\n                    break\n            t1 = time()\n            data.append((cif, bravais, d2, i*N_batch, len(cell_all), t1-t0))\n\n        for d in data:\n            print(d)\n\"\"\"\n('pyxtal/database/cifs/JVASP-97915.cif', 225, 11, 1, 0.9944178674744656, 0.8724310398101807)\n('pyxtal/database/cifs/JVASP-86205.cif', 204, 4, 1, 0.9999808799880138, 0.10700225830078125)\n('pyxtal/database/cifs/JVASP-28634.cif', 156, 2, 1, 0.9999999999999456, 0.12210202217102051)\n('pyxtal/database/cifs/JVASP-85365.cif', 123, 16, 11, 0.999999999999978, 0.5885009765625)\n('pyxtal/database/cifs/JVASP-62168.cif', 62, 34, 123, 0.9999999999999891, 32.97966909408569)\n('pyxtal/database/cifs/JVASP-98225.cif', 14, 14, 3, 0.9999291925203678, 35.536349296569824)\n('pyxtal/database/cifs/JVASP-50935.cif', 6, 6, 25, 0.9998350565457528, 11.00560998916626)\n('pyxtal/database/cifs/JVASP-28565.cif', 8, 35, 3824, 0.9995855322890919, 490.50669598579407)\n\n('pyxtal/database/cifs/JVASP-97915.cif', 225, 11, 1, 0.9942656034459425, 0.9070873260498047)\n('pyxtal/database/cifs/JVASP-86205.cif', 204, 4, 1, 0.9997322519800832, 0.09690594673156738)\n('pyxtal/database/cifs/JVASP-28634.cif', 156, 2, 1, 0.9997539680387753, 0.07663106918334961)\n('pyxtal/database/cifs/JVASP-85365.cif', 123, 16, 9, 0.9997570762997596, 0.3383021354675293)\n('pyxtal/database/cifs/JVASP-62168.cif', 62, 34, 15, 0.9997220764747486, 13.73779296875)\n('pyxtal/database/cifs/JVASP-98225.cif', 14, 14, 1, 0.9997723881589121, 21.532269716262817)\n('pyxtal/database/cifs/JVASP-50935.cif', 6, 6, 25, 0.9997130006576738, 10.676042079925537)\n('pyxtal/database/cifs/JVASP-28565.cif', 8, 35, 2885, 0.9995837967820846, 218.40485000610352)\n('pyxtal/database/cifs/JVASP-36885.cif', 6, 5, 25, 0.9997727973911672, 10.984601259231567)\n('pyxtal/database/cifs/JVASP-42300.cif', 5, 25, 1, 0.9993642422227232, 84.00993585586548)\n\"\"\"\n"
  },
  {
    "path": "pyxtal/__init__.py",
    "content": "\"\"\"\nPyXtal: A Python library for crystal structure generation and manipulation.\n\nThis module initializes the pyxtal package, providing essential imports and\nutility functions.\n\"\"\"\n\n# Standard Libraries\nimport itertools\nimport json\nfrom copy import deepcopy\n\n# Third-Party Libraries\nimport numpy as np\nfrom ase import Atoms\nfrom math import gcd\nfrom pymatgen.core.structure import Molecule, Structure\n\n# PyXtal Modules\nfrom pyxtal.block_crystal import block_crystal\nfrom pyxtal.crystal import random_crystal\nfrom pyxtal.io import read_cif, structure_from_ext, write_cif\nfrom pyxtal.lattice import Lattice\nfrom pyxtal.molecule import pyxtal_molecule\nfrom pyxtal.operations import SymmOp, apply_ops, get_inverse\nfrom pyxtal.representation import representation, representation_atom\nfrom pyxtal.symmetry import Group, Wyckoff_position\nfrom pyxtal.tolerance import Tol_matrix\nfrom pyxtal.version import __version__\nfrom pyxtal.viz import display_atomic, display_cluster, display_molecular\nfrom pyxtal.wyckoff_site import atom_site, mol_site\nfrom pyxtal.wyckoff_split import wyckoff_split\nfrom pyxtal.database.element import Element\n\n# Uncomment the following line to set the package name\n# name = \"pyxtal\"\n\n\ndef print_logo():\n    \"\"\"\n    print out the logo and version information\n    \"\"\"\n\n    print(\n        r\"\"\"\n             ______       _    _          _\n            (_____ \\     \\ \\  / /        | |\n             _____) )   _ \\ \\/ / |_  ____| |\n            |  ____/ | | | )  (|  _)/ _  | |\n            | |    | |_| |/ /\\ \\ |_( (_| | |___\n            |_|     \\__  /_/  \\_\\___)__|_|_____)\n                   (____/      \"\"\"\n    )\n    print(\"\\n\")\n    print(\"-------------------(version\", __version__, \")--------------------\\n\")\n    print(\"A Python package for random crystal generation\")\n    print(\"The source code is available at https://github.com/MaterSim/PyXtal\")\n    print(\"by Zhu's group at the University of North Carolina at Charlotte\\n\\n\")\n\n\nclass pyxtal:\n    \"\"\"\n    Class for handling atomic crystals based on symmetry constraints\n\n    Examples\n    --------\n\n    To create a new structure instance\n\n    >>> from pyxtal import pyxtal\n    >>> struc = pyxtal()\n\n    one can either use pyxtal to generate a random symmetric structure\n\n    >>> struc.from_random(3, 227, ['C'], [8])\n\n    or load a structure from a file or ASE atoms or Pymatgen structure object\n\n    >>> struc.from_seed('diamond.cif')     # as a string\n    >>> struc.from_seed(diamond_ase)       # as a ase atoms object\n    >>> struc.from_seed(diamond_pymatgen)  # as a pymatgen structure object\n\n    as long as the struc is created, you can check their symmetry as follows\n\n    >>> struc.get_site_labels()\n    {'C': ['8a']}\n    >>> struc\n    ------Crystal from random------\n    Dimension: 3\n    Composition: C8\n    Group: Fd-3m (227)\n    cubic lattice:   4.3529   4.3529   4.3529  90.0000  90.0000  90.0000\n    Wyckoff sites:\n         C @ [0.1250 0.1250 0.1250], WP:  8a, Site symmetry: -4 3 m\n\n    The structure object can be easily manipulated via `apply_perturbtation`\n    or `subgroup` function\n\n    >>> struc2 = struc.subgroup_once(H=141)\n    >>> struc2\n    ------Crystal from Wyckoff Split------\n    Dimension: 3\n    Composition: C8\n    Group: I41/amd (141)\n    tetragonal lattice:   3.3535   3.3535   4.6461  90.0000  90.0000  90.0000\n    Wyckoff sites:\n             C @ [0.0000 0.2500 0.3750], WP:  4b, Site symmetry: -4 m 2\n\n    Alternatively, one can easily compute its XRD via the `pyxtal.XRD` class\n\n    >>> xrd = struc.get_XRD()\n    >>> xrd\n      2theta     d_hkl     hkl       Intensity  Multi\n      32.706     2.738   [ 1  1  1]   100.00        8\n      54.745     1.677   [ 2  2  0]    40.95       12\n      65.249     1.430   [ 3  1  1]    20.65       24\n      81.116     1.186   [ 4  0  0]     5.15        6\n      90.236     1.088   [ 3  3  1]     8.24       24\n     105.566     0.968   [ 4  2  2]    14.44       24\n     115.271     0.913   [ 5  1  1]    10.03       24\n     133.720     0.838   [ 4  4  0]     9.80       12\n     148.177     0.802   [ 5  3  1]    28.27       48\n\n    One can also try to get the transition path between two pyxtals\n    that are symmetry related via the `get_transition` function\n\n    >>> s1 = pyxtal()\n    >>> s2 = pyxtal()\n    >>> s1.from_seed(\"pyxtal/database/cifs/0-G62.cif\") #structure with low symmetry\n    >>> s2.from_seed(\"pyxtal/database/cifs/2-G71.cif\") #structure with high symmetry\n    >>> strucs, _, _, _, _ = s2.get_transition(s1) # get the transition from high to low\n    >>> strucs\n    [\n    ------Crystal from Transition 0  0.000------\n    Dimension: 3\n    Composition: O24Mg4W4Pb8\n    Group: Pnma (62)\n    orthorhombic lattice:  11.6075   8.0526   5.8010  90.0000  90.0000  90.0000\n    Wyckoff sites:\n        Mg @ [ 0.8750  0.2500  0.7500], WP [4c] Site [.m.]\n        Pb @ [ 0.6406  0.0053  0.7856], WP [8d] Site [1]\n        W @ [ 0.6119  0.2500  0.2483], WP [4c] Site [.m.]\n        O @ [ 0.6292  0.0083  0.2235], WP [8d] Site [1]\n        O @ [ 0.4966  0.2500  0.0093], WP [4c] Site [.m.]\n        O @ [ 0.5055  0.2500  0.4897], WP [4c] Site [.m.]\n        O @ [ 0.7308  0.2500  0.9717], WP [4c] Site [.m.]\n        O @ [ 0.7467  0.2500  0.4570], WP [4c] Site [.m.],\n    ------Crystal from Transition 1  0.323------\n    Dimension: 3\n    Composition: O24Mg4W4Pb8\n    Group: Pnma (62)\n    orthorhombic lattice:  11.6020   8.0526   5.8038  90.0000  90.0000  90.0000\n    Wyckoff sites:\n        Mg @ [ 0.8750  0.2500  0.7500], WP [4c] Site [.m.]\n        Pb @ [ 0.6250 -0.0053  0.7500], WP [8d] Site [1]\n        W @ [ 0.6250  0.2500  0.2500], WP [4c] Site [.m.]\n        O @ [ 0.6250  0.0083  0.2500], WP [8d] Site [1]\n        O @ [ 0.5158  0.2500 -0.0068], WP [4c] Site [.m.]\n        O @ [ 0.5158  0.2500  0.5068], WP [4c] Site [.m.]\n        O @ [ 0.7342  0.2500  0.9932], WP [4c] Site [.m.]\n        O @ [ 0.7342  0.2500  0.5068], WP [4c] Site [.m.]]\n\n    Finally, the structure can be saved to different formats\n\n    >>> struc.to_file('my.cif')\n    >>> struc.to_file('my_poscar', fmt='poscar')\n\n    or to Pymatgen/ASE structure object\n\n    >>> pmg_struc = struc.to_pymatgen()\n    >>> ase_struc = struc.to_ase()\n\n    or to json file\n\n    >>> struc.to_json('1.json')\n\n    \"\"\"\n\n    def __init__(self, molecular=False, random_state=None):\n        self.valid = False\n        self.molecular = molecular\n        self.standard_setting = True\n        self.numIons = None\n        self.numMols = None\n        self.source = None\n        self.formula = None\n        self.species = None\n        self.group = None\n        self.lattice = None\n        self.dim = 3\n        self.factor = 1.0\n        self.PBC = [1, 1, 1]\n        self.random_state = np.random.default_rng(random_state)\n\n        if molecular:\n            self.molecules = []\n            self.mol_sites = []\n        else:\n            self.atom_sites = []\n\n    def __str__(self):\n        if self.valid:\n            s = f\"\\n------Crystal from {self.source:s}------\"\n            s += f\"\\nDimension: {self.dim}\"\n            s += f\"\\nComposition: {self.formula}\"\n            # if not self.standard_setting:\n            if self.dim < 3:\n                symbol = self.group.symbol\n            else:\n                if self.molecular:\n                    if len(self.mol_sites) > 0:\n                        symbol = self.mol_sites[0].wp.get_hm_symbol()\n                else:\n                    if len(self.atom_sites) > 0:\n                        symbol = self.atom_sites[0].wp.get_hm_symbol()\n            s += f\"\\nGroup: {symbol} ({self.group.number})\"\n            s += f\"\\n{self.lattice}\"\n            s += \"\\nWyckoff sites:\"\n            if self.molecular:\n                for wyc in self.mol_sites:\n                    s += f\"\\n\\t{wyc}\"\n            else:\n                for wyc in self.atom_sites:\n                    s += f\"\\n\\t{wyc}\"\n        else:\n            s = \"\\nStructure not available.\"\n        return s\n\n    def __repr__(self):\n        return str(self)\n\n    def get_dof(self):\n        \"\"\"\n        Get the number of dof for the given structures:\n        \"\"\"\n        sites = self.mol_sites if self.molecular else self.atom_sites\n        dof = 0\n        for site in sites:\n            dof += site.dof\n\n        return self.lattice.dof + dof\n\n    def get_bounds(self, vec=(2.0, 50.0), ang=(30, 150)):\n        \"\"\"\n        Get the number of dof for the given structures:\n        \"\"\"\n        bounds = self.lattice.get_bounds(vec[0], vec[1], ang[0], ang[1])\n        sites = self.mol_sites if self.molecular else self.atom_sites\n        for site in sites:\n            bounds.extend(site.get_bounds())\n        return bounds\n\n    def get_site_labels(self):\n        \"\"\"\n        Get the site_labels as a dictionary\n        \"\"\"\n        if self.molecular:\n            sites = self.mol_sites\n            names = [site.molecule.name for site in sites]\n        else:\n            sites = self.atom_sites\n            names = [site.specie for site in sites]\n\n        dicts = {}\n        for name, site in zip(names, sites):\n            label = site.wp.get_label()\n            if name not in dicts:\n                dicts[name] = [label]\n            else:\n                dicts[name].append(label)\n        return dicts\n\n    def from_random(\n        self,\n        dim=3,\n        group=None,\n        species=None,\n        numIons=None,\n        factor=1.1,\n        thickness=None,\n        area=None,\n        lattice=None,\n        sites=None,\n        conventional=True,\n        t_factor=1.0,\n        max_count=10,\n        torsions=None,\n        force_pass=False,\n        block=None,\n        num_block=None,\n        seed=None,\n        random_state=None,\n        tm=None,\n        use_hall=False,\n        use_asu=False,\n    ):\n        \"\"\"\n        The main function to generate random crystals.\n        It calls `block_crystal` or `random_crystal` internally.\n\n        Args:\n            dim (int): dimension (0, 1, 2, 3)\n            group (int): the group number (1-56, 1-75, 1-80, 1-230)\n            species (list): atomic symbols for each ion type, e.g., `[\"Ti\", \"O\"]`.\n            numIons (list): the number of atoms within the unit cell, e.g., `[4, 8]`.\n            factor (float, optional): volume factor to generate the crystal. Default is 1.1\n            thickness (float, optional): thickness for 2D materials\n            area (float, optional): area for 1D/2D materials.\n            lattice (optional): `Lattice <pyxtal.lattice.Lattice.html>`_ to define the cell.\n            sites (optional): pre-assigned wyckoff sites (e.g., `[[\"4a\"], [\"2b\"]]`)\n            conventional (bool): whether use the conventional setting. Default is True\n            t_factor (float): factor applied to tolerance matrix.\n            max_count (int): maximum number of attempts to generate structure.\n            torsions (list, optional): torsion angles for molecular crystals.\n            force_pass (bool, True): whether force accept invalid structure.\n            block (optional): molecular/atomic block for crystal building\n            num_block (optional): number of blocks\n            seed (int, optional): random seed\n            random_state (optional): numpy random state\n            tm (optional): Tol_matrix define the distances\n            use_hall (bool): whether to use Hall number. Default is False\n            use_asu (bool): whether to generate points within ASU. Default is False\n\n        Returns:\n            Crystal structure object if successful\n\n        Raises:\n            RuntimeError: If structure generation fails after max_count attempts\n        \"\"\"\n        prototype = \"molecular\" if self.molecular else \"atomic\"\n\n        if tm is None:\n            tm = Tol_matrix(prototype=prototype, factor=t_factor)\n\n        count = 0\n        quit = False\n\n        while True:\n            count += 1\n            if self.molecular:\n                struc = block_crystal(\n                    dim,\n                    group,\n                    species,\n                    numIons,\n                    factor,\n                    thickness=thickness,\n                    area=area,\n                    block=block,\n                    num_block=num_block,\n                    lattice=lattice,\n                    torsions=torsions,\n                    sites=sites,\n                    conventional=conventional,\n                    tm=tm,\n                    seed=seed,\n                    random_state=random_state,\n                    use_hall=use_hall,\n                )\n            else:\n                struc = random_crystal(\n                    dim=dim,\n                    group=group,\n                    species=species,\n                    numIons=numIons,\n                    factor=factor,\n                    thickness=thickness,\n                    area=area,\n                    lattice=lattice,\n                    sites=sites,\n                    conventional=conventional,\n                    tm=tm,\n                    use_hall=use_hall,\n                    random_state=random_state,\n                    use_asu=use_asu,\n                )\n            if force_pass or struc.valid:\n                quit = True\n                break\n\n            if count >= max_count:\n                raise RuntimeError(\n                    \"long time to generate structure, check inputs\")\n\n        if quit:\n            self.valid = struc.valid\n            self.dim = dim\n            try:\n                self.lattice = struc.lattice\n                if self.molecular:\n                    self.numMols = struc.numMols\n                    self.molecules = struc.molecules\n                    self.mol_sites = struc.mol_sites\n                    wp = self.mol_sites[0].wp\n                    self.standard_setting = wp.is_standard_setting()\n                else:\n                    self.numIons = struc.numIons\n                    self.species = struc.species\n                    self.atom_sites = struc.atom_sites\n                self.group = struc.group\n                self.PBC = struc.PBC\n                self.source = \"random\"\n                self.factor = struc.factor\n                self._get_formula()\n            except:\n                pass\n\n            return struc\n\n    def from_seed(\n        self,\n        seed,\n        molecules=None,\n        tol=1e-4,\n        a_tol=5.0,\n        ignore_HH=True,\n        add_H=False,\n        backend=\"pymatgen\",\n        style=\"pyxtal\",\n        hn=None,\n        standard=False,\n    ):\n        \"\"\"\n        Load the seed structure from pymatgen/ase/POSCAR/cifs.\n        Internally they will be handled by pymatgen.\n\n        Args:\n            seed: cif/poscar file or a pymatgen Structure object\n            molecules: a list of reference molecule (xyz or Pyxtal molecule)\n            tol (float): scale factor for covalent bond distance\n            ignore_HH (bool): whether ignore short H-H distance in molecules\n            add_H (bool): whether add H atoms\n            backend (str): structure parser, default is pymatgen\n            style (str): ``pyxtal`` or ``spglib``\n            standard (bool): whether or not optimize lattice\n            hn (int, optional): space group hall number\n            a_tol (float): angle tolerance for pymatgen symmetry find.\n            standard (bool): whether to use standard setting\n\n        \"\"\"\n\n        if self.molecular:\n            pmols = []\n            for mol in molecules:\n                if type(mol) == pyxtal_molecule:\n                    pmols.append(mol)\n                else:\n                    pmols.append(pyxtal_molecule(mol, fix=True))\n            # QZ: the default will not work for molecular H2!\n            struc = structure_from_ext(\n                seed, pmols, ignore_HH=ignore_HH, add_H=add_H, hn=hn)\n            self.mol_sites = struc.make_mol_sites()\n            self.group = Group(struc.wyc.number)\n            self.lattice = struc.lattice\n            self.molecules = pmols\n            self.numMols = struc.numMols\n            self.standard_setting = True\n            self.valid = True  # Need to add a check function\n            if not standard:\n                self.optimize_lattice()\n        else:\n            if isinstance(seed, dict):\n                self.from_dict()\n            elif isinstance(seed, Atoms):  # ASE atoms\n                # from pymatgen.io.ase import AseAtomsAdaptor\n                # pmg_struc = AseAtomsAdaptor.get_structure(seed)\n                from pyxtal.util import ase2pymatgen\n\n                pmg_struc = ase2pymatgen(seed)\n                self._from_pymatgen(pmg_struc, tol, a_tol, style=style)\n            elif isinstance(seed, Structure):  # Pymatgen\n                self._from_pymatgen(seed, tol, style=style)\n            elif isinstance(seed, str):\n                if backend == \"pymatgen\":\n                    pmg_struc = Structure.from_file(seed, primitive=True)\n                    self._from_pymatgen(pmg_struc, tol, a_tol, style=style)\n                else:\n                    # Need to check\n                    self.lattice, self.atom_sites = read_cif(seed)\n                    wp = self.atom_sites[0].wp\n                    self.group = Group(wp.hall_number, use_hall=True)\n                    self.standard_setting = wp.is_standard_setting()\n                    self.valid = True\n        self.factor = 1.0\n        self.source = \"Seed\"\n        self.dim = 3\n        self.PBC = [1, 1, 1]\n        self._get_formula()\n\n    def _from_pymatgen(self, struc, tol=1e-3, a_tol=5.0, style=\"pyxtal\", hn=None):\n        \"\"\"\n        Load structure from Pymatgen\n        should not be used directly\n\n        Args:\n            struc: input pymatgen structure\n            tol: symmetry tolerance\n            a_tol: angle tolerance\n            style: 'pyxtal' or spglib, differing in the choice of origin\n            hn: hall_number\n        \"\"\"\n        from pyxtal.util import get_symmetrized_pmg\n        # import pymatgen.analysis.structure_matcher as sm\n\n        self.valid = True\n        try:\n            sym_struc, number = get_symmetrized_pmg(\n                struc, tol, a_tol, style, hn)\n            # print(sym_struc); import sys; sys.exit()\n        except TypeError:\n            print(\"Failed to load the Pymatgen structure\")\n\n        if self.valid:\n            d = sym_struc.composition.as_dict()\n            species = list(d.keys())\n            numIons = [int(d[ele]) for ele in species]\n            self.numIons = numIons\n            self.species = species\n            if hn is None:\n                self.group = Group(number, style=style)\n            else:\n                self.group = Group(hn, use_hall=True)\n            # print(self.group[0]); import sys; sys.exit()\n            matrix, ltype = sym_struc.lattice.matrix, self.group.lattice_type\n            self.lattice = Lattice.from_matrix(matrix, ltype=ltype)\n            atom_sites = []\n            for i, site in enumerate(sym_struc.equivalent_sites):\n                pos = site[0].frac_coords\n                letter = sym_struc.wyckoff_symbols[i]\n                # print(letter)\n                wp = Wyckoff_position.from_group_and_letter(\n                    number, letter, style=style, hn=hn)\n                specie = site[0].specie.number\n                # if wp.index>0: print(wp)\n                pos1 = wp.search_generator(pos, self.group[0], tol=tol)\n                if pos1 is not None:\n                    atom_sites.append(atom_site(wp, pos1, specie))\n                else:\n                    pos1, wp, _ = self.group[0].merge(pos, matrix, 1e-3)\n                    if pos1 is None:\n                        print(\"Problem in \", site)\n                        print(wp.symbol, wp.number, wp.letter, wp)\n                        print(\"sym_struc_sites\", sym_struc)\n                        raise RuntimeError(\n                            \"Cannot extract the mapping from spglib\")\n                        # break\n                    else:\n                        atom_sites.append(atom_site(wp, pos1, specie))\n                        #print(pos, pos1, self.group[0])\n\n            if len(atom_sites) != len(sym_struc.equivalent_sites):\n                raise RuntimeError(\"Fail to extract the atom site\")\n            self.atom_sites = atom_sites\n            # import pymatgen.analysis.structure_matcher as sm\n            # self.dim = 3\n            # self.PBC = [1, 1, 1]\n            # pmg1 = self.to_pymatgen()\n            # if not sm.StructureMatcher().fit(struc, pmg1):\n            #    raise RuntimeError(\"The structure is inconsistent after conversion\")\n\n    def are_valid_numIons(self):\n        \"\"\"\n        Check if the numIons are correct for debugging\n        \"\"\"\n\n        N = [s.wp.multiplicity for s in self.atom_sites]\n        # for s in self.atom_sites: print(s.wp.multiplicity, s.wp.get_label())\n        if sum(N) != sum(self.numIons):\n            print(\"Inconsistent numIons\", sum(N), self.numIons)\n            return False\n        else:\n            return True\n\n    def check_H_coordination(self, r=1.12):\n        \"\"\"\n        A function to check if H is connected to more than one atom\n        Mainly used for debug, powered by pymatgen\n\n        Args:\n            r: the given cutoff distances\n\n        Returns:\n            True or False\n        \"\"\"\n        if self.dim > 0:\n            pmg_struc = self.to_pymatgen()\n            res = pmg_struc.get_all_neighbors(r)\n            for i, neighs in enumerate(res):\n                if pmg_struc.sites[i].specie.number == 1 and len(neighs) > 1:\n                    return True\n        else:\n            raise NotImplementedError(\"Donot support cluster now\")\n        return False\n\n    def check_short_distances(self, r=0.7, exclude_H=True):\n        \"\"\"\n        A function to check short distance pairs\n        Mainly used for debug, powered by pymatgen\n\n        Args:\n            r (float): the given cutoff distances\n            exclude_H (bool): whether or not exclude the H atoms\n\n        Returns:\n            list of pairs within the cutoff\n        \"\"\"\n        if self.dim > 0:\n            pairs = []\n            pmg_struc = self.to_pymatgen()\n            if exclude_H:\n                pmg_struc.remove_species(\"H\")\n            res = pmg_struc.get_all_neighbors(r)\n            pairs = [\n                [pmg_struc.sites[i].specie, n.specie, n.nn_distance] for i, neighs in enumerate(res) for n in neighs\n            ]\n        else:\n            raise NotImplementedError(\"Does not support cluster for now\")\n        return pairs\n\n    def check_short_distances_by_dict(self, dicts):\n        \"\"\"\n        A function to check short distance pairs\n        Mainly used for debug, powered by pymatgen\n\n        Args:\n            dicts: e.g., {\"H-H\": 1.0, \"O-O\": 2.0}\n\n        Returns:\n            N_pairs: number of atomic pairs within the cutoff\n        \"\"\"\n        if self.dim > 0:\n            N_pairs = 0\n            r_cut = max([dicts[key] for key in dicts])\n            pmg_struc = self.to_pymatgen()\n            res = pmg_struc.get_all_neighbors(r_cut)\n            for i, neighs in enumerate(res):\n                ele1 = pmg_struc.sites[i].specie.value\n                for n in neighs:\n                    ele2 = n.specie.value\n                    key1 = ele1 + \"-\" + ele2\n                    key2 = ele2 + \"-\" + ele1\n                    if (\n                        key1 in dicts\n                        and n.nn_distance < dicts[key1]\n                        or (key1 != key2 and key2 in dicts and n.nn_distance < dicts[key2])\n                    ):\n                        N_pairs += 1\n        else:\n            raise NotImplementedError(\"Does not support cluster for now\")\n        return N_pairs\n\n    def to_file(\n        self,\n        filename=None,\n        fmt=None,\n        permission=\"w\",\n        sym_num=None,\n        header=\"from_pyxtal\",\n    ):\n        \"\"\"\n        Creates a file with the given name and type. By default,\n        creates cif files for crystals and xyz files for clusters.\n        For other formats, Pymatgen is used\n\n        Args:\n            filename (string): the file path\n            fmt (string): the file type (`cif`, `xyz`, etc.)\n            permission (string): `w` or `a+`\n            sym_num (int): number of sym_ops, None will write all symops\n            header (string): header\n\n        Returns:\n            Nothing. Creates a file at the specified path\n        \"\"\"\n        if self.valid:\n            if fmt is None:\n                fmt = \"xyz\" if self.dim == 0 else \"cif\"\n\n            if fmt == \"cif\":\n                if self.dim == 3:\n                    return write_cif(self, filename, header, permission, sym_num=sym_num)\n                else:\n                    pmg_struc = self.to_pymatgen()\n                    if self.molecular:\n                        pmg_struc.sort()\n                return pmg_struc.to(fmt=fmt, filename=filename)\n            else:\n                pmg_struc = self.to_pymatgen()\n                if self.molecular:\n                    pmg_struc.sort()\n                return pmg_struc.to(fmt=fmt, filename=filename)\n        else:\n            raise RuntimeError(\n                \"Cannot create file: structure did not generate\")\n\n    def supergroup(self, G=None, d_tol=1.0):\n        \"\"\"\n        Generate a structure with higher symmetry\n\n        Args:\n            G: super space group number (list of integers)\n            d_tol: maximum tolerance\n\n        Returns:\n            a list of pyxtal structures with minimum super group symmetries\n        \"\"\"\n\n        from pyxtal.supergroup import supergroup\n\n        my_super = supergroup(self, G=G)\n        solutions = my_super.search_supergroup(d_tol=d_tol)\n        return my_super.make_supergroup(solutions)\n\n    def supergroups(self, G=None, d_tol=1.0):\n        \"\"\"\n        Generate the structures with higher symmetry\n\n        Args:\n            G: super space group number (list of integers)\n            d_tol: maximum tolerance\n\n        Returns:\n            a list of pyxtal structures with minimum super group symmetries\n        \"\"\"\n\n        from pyxtal.supergroup import supergroups\n\n        sup = supergroups(self, G=G, d_tol=d_tol)\n        return sup.strucs\n\n    def subgroup(\n        self,\n        perms=None,\n        H=None,\n        eps=0.05,\n        idx=None,\n        group_type=\"t\",\n        max_cell=4,\n        min_cell=0,\n        N_groups=None,\n    ):\n        \"\"\"\n        Generate a structure with lower symmetry\n\n        Args:\n            perms: e.g., {\"Si\": \"C\"}\n            H: space group number (int)\n            eps: pertubation term (float)\n            idx: list\n            group_type (string): `t`, `k` or `t+k`\n            max_cell (float): maximum cell reconstruction\n            min_cell (float): maximum cell reconstruction\n            max_subgroups (int): maximum number of trial subgroups\n\n        Returns:\n            a list of pyxtal structures with lower symmetries\n        \"\"\"\n\n        ids, sites, t_types, k_types = self._get_subgroup_ids(\n            H, group_type, idx, max_cell, min_cell)\n        # randomly choose a subgroup from the available list\n        if N_groups is not None and len(ids) >= N_groups:\n            ids = self.random_state.choice(ids, N_groups)\n            # print('max_sub_group', len(idx), max_subgroups)\n\n        valid_splitters = []\n        bad_splitters = []\n        for idx in ids:\n            gtype = (t_types + k_types)[idx]\n            if gtype == \"k\":\n                idx -= len(t_types)\n            splitter = wyckoff_split(\n                G=self.group, wp1=sites, idx=idx, group_type=gtype)\n\n            if not splitter.error:\n                if perms is None:\n                    if splitter.valid_split:\n                        special = False\n                        if self.molecular:\n                            for i in range(len(self.mol_sites)):\n                                for ops in splitter.H_orbits[i]:\n                                    if len(ops) < len(splitter.H[0]):\n                                        special = True\n                                        break\n                        if not special:\n                            valid_splitters.append(splitter)\n                        else:\n                            bad_splitters.append(splitter)\n                    else:\n                        bad_splitters.append(splitter)\n                else:\n                    # apply permuation\n                    if len(splitter.H_orbits) == 1:\n                        if len(splitter.H_orbits[0]) > 1:\n                            valid_splitters.append(splitter)\n                        else:\n                            bad_splitters.append(splitter)\n                    else:\n                        valid_splitters.append(splitter)\n\n        if len(valid_splitters) == 0:\n            # print(\"try do one more step\")\n            new_strucs = []\n            for splitter in bad_splitters:\n                trail_struc = self._subgroup_by_splitter(splitter, eps=eps)\n                if trail_struc is not None:\n                    new_strucs.extend(trail_struc.subgroup(\n                        perms, group_type=group_type))\n            return new_strucs\n        else:\n            # print(len(valid_splitters), \"valid_splitters are present\")\n            new_strucs = []\n            for splitter in valid_splitters:\n                # print(splitter)\n                if perms is None:\n                    new_struc = self._subgroup_by_splitter(splitter, eps=eps)\n                else:\n                    new_struc = self._apply_substitution(splitter, perms)\n                # if not new_struc.are_valid_numIons(): print(new_struc); import sys; sys.exit()\n                new_strucs.append(new_struc)\n            return new_strucs\n\n    def subgroup_by_path(self, gtypes, ids, eps=0, mut_lat=False):\n        \"\"\"\n        Generate a structure with lower symmetry (for atomic crystals only)\n\n        Args:\n            g_types: ['t', 'k']\n            idx: list of ids for the splitter\n            eps: degree of displacement\n            mut_lat: mutate the lattice of not\n\n        Returns:\n            a pyxtal structure with lower symmetries\n            list of splitters\n        \"\"\"\n        struc = self.copy()\n        splitters = []\n        G = self.group\n        for g_type, id in zip(gtypes, ids):\n            _sites = struc.mol_sites if self.molecular else struc.atom_sites\n            sites = [site.wp.index for site in _sites]\n            # print(G.number, id, g_type, sites)\n            splitter = wyckoff_split(G, wp1=sites, idx=id, group_type=g_type)\n            struc = struc._subgroup_by_splitter(\n                splitter, eps=eps, mut_lat=mut_lat)\n            if struc is None:\n                return None\n            splitters.append(splitter)\n            G = splitter.H\n        return struc, splitters\n\n    def subgroup_once(\n        self,\n        eps=0.1,\n        H=None,\n        perms=None,\n        group_type=\"t\",\n        max_cell=4,\n        min_cell=0,\n        mut_lat=True,\n        ignore_special=False,\n        verbose=False,\n    ):\n        \"\"\"\n        Generate a structure with lower symmetry (for atomic crystals only)\n\n        Args:\n            eps (float): perturbation term on atomic coordinates\n            H (int): target space group number\n            perms (dict): atomic permutations dictionary, e.g. {\"Si\": \"C\"}\n            group_type (str): 't' or 'k' for translationengleiche or klassengleiche transitions\n            max_cell (float): maximum cell enlargement\n            min_cell (float): minimum cell enlargement\n            mut_lat (bool): whether to mutate lattice parameters\n            ignore_special (bool): whether to ignore sites with special positions\n            verbose (bool): whether to print details\n\n        Returns:\n            pyxtal: A new pyxtal structure with lower symmetry\n\n        Example:\n            >>> xtal = pyxtal()\n            >>> xtal.from_random(3, 230, ['Si'], [8])\n            >>> sub = xta.subgroup_once(H=141)\n            >>> print(sub.group.number)\n            141\n        \"\"\"\n        idx, sites, t_types, k_types = self._get_subgroup_ids(\n            H, group_type, None, max_cell, min_cell)\n        # print(\"Test subgroup_once\", self.group.number, idx, sites)\n\n        if idx is None or len(idx) == 0:\n            if verbose:\n                msg = \"Cannot find valid splitter (likely due to large cellsize)\"\n                print(msg)\n            return None\n\n        # Try 100 times to see if a valid split can be found\n        count = 0\n        while count < 100:\n            id = self.random_state.choice(idx)\n            gtype = (t_types + k_types)[id]\n            if gtype == \"k\":\n                id -= len(t_types)\n            # print(self.group.number, sites, id, gtype, idx)\n            splitter = wyckoff_split(\n                G=self.group.number, wp1=sites, idx=id, group_type=gtype)\n            if not splitter.error:\n                if perms is not None:\n                    if len(splitter.H_orbits) == 1:\n                        if len(splitter.H_orbits[0]) > 1:\n                            return self._apply_substitution(splitter, perms)\n                        else:\n                            # print(\"try to find the next subgroup\")\n                            trail_struc = self._subgroup_by_splitter(\n                                splitter, eps=eps, mut_lat=mut_lat)\n                            if trail_struc is not None:\n                                multiple = sum(\n                                    trail_struc.numIons) / sum(self.numIons)\n                                max_cell = max([1, max_cell / multiple])\n                                ans = trail_struc.subgroup_once(\n                                    eps, H, perms, group_type, max_cell)\n                                if ans.group.number > 1:\n                                    return ans\n                    else:\n                        return self._apply_substitution(splitter, perms)\n                else:\n                    # print('permuation')\n                    if splitter.valid_split:\n                        special = False\n                        if self.molecular:\n                            for i in range(len(self.mol_sites)):\n                                for ops in splitter.H_orbits[i]:\n                                    if len(ops) < len(splitter.H[0]):\n                                        special = True\n                                        break\n                        if ignore_special:\n                            return self._subgroup_by_splitter(splitter, eps=eps, mut_lat=mut_lat)\n                        else:\n                            if not special:\n                                return self._subgroup_by_splitter(splitter, eps=eps, mut_lat=mut_lat)\n                    else:\n                        # print(\"try to find the next subgroup\")\n                        trail_struc = self._subgroup_by_splitter(\n                            splitter, eps=eps, mut_lat=mut_lat)\n                        if trail_struc is not None:\n                            multiple = sum(trail_struc.numIons) / \\\n                                sum(self.numIons)\n                            max_cell = max([1, max_cell / multiple])\n                            ans = trail_struc.subgroup_once(\n                                eps, H, None, group_type, max_cell)\n                            if ans.group.number > 1:\n                                return ans\n            count += 1\n\n        print(\"Cannot find the splitter\")\n        return None\n\n    def _apply_substitution(self, splitter, perms):\n        \"\"\"\n        Apply the substitution to the structure based on the splitter\n        This function substitutes the atomic species in the structure\n        with the given permutations.\n\n        Args:\n            splitter: wyckoff_splitter object\n            perms: dictionary of atomic substitutions, e.g., {\"Si\": \"C\"}\n\n        Returns:\n            new_struc: a new pyxtal with substituted sites\n        \"\"\"\n        try:\n            new_struc = self._subgroup_by_splitter(splitter)\n        except:\n            print(self)\n            print(splitter)\n            print(len(splitter.H_orbits), len(\n                splitter.G2_orbits), len(self.atom_sites))\n            self._subgroup_by_splitter(splitter)\n\n        # Create a list of tuples (site_id, original_specie) for sites that can be substituted\n        site_info = [\n            (site_id, site.specie) for site_id, site in enumerate(new_struc.atom_sites) if site.specie in perms\n        ]\n\n        # TODO range isn't inclusive of end number is this intended?\n        N = self.random_state.choice(\n            range(1, len(site_info))) if len(site_info) > 1 else 1\n        sub_indices = self.random_state.choice(\n            len(site_info), N, replace=False)\n\n        for index in sub_indices:\n            site_id, original_specie = site_info[index]\n            new_struc.atom_sites[site_id].specie = perms[original_specie]\n\n        new_struc._get_formula()\n        return new_struc\n\n    def _get_subgroup_ids(self, H, group_type, idx, max_cell, min_cell):\n        \"\"\"\n        Generate the subgroup dictionary\n        \"\"\"\n\n        # transform from p21/n to p21/n, need to fix later, wp.get_transformation_to_std()\n        if not self.standard_setting:\n            self.optimize_lattice(standard=True)\n\n        if H is not None:\n            group_type = \"k\" if Group(\n                H, quick=True).point_group == self.group.point_group else \"t\"\n        t_types = []\n        k_types = []\n        if group_type == \"t\":\n            dicts = self.group.get_max_t_subgroup()\n            t_types = [\"t\"] * len(dicts[\"subgroup\"])\n        elif group_type == \"k\":\n            dicts = self.group.get_max_k_subgroup()\n            k_types = [\"k\"] * len(dicts[\"subgroup\"])\n        else:\n            dicts = self.group.get_max_t_subgroup()\n            dict2 = self.group.get_max_k_subgroup()\n            t_types = [\"t\"] * len(dicts[\"subgroup\"])\n            k_types = [\"k\"] * len(dict2[\"subgroup\"])\n            for key in dicts:\n                dicts[key].extend(dict2[key])\n\n        Hs = dicts[\"subgroup\"]\n        trans = dicts[\"transformation\"]\n\n        if idx is None:\n            idx = []\n            if not self.molecular or self.group.number > 142:\n                for i, tran in enumerate(trans):\n                    if min_cell <= np.linalg.det(tran[:3, :3]) <= max_cell:\n                        idx.append(i)\n            else:\n                # for molecular crystals, assume the cell does not change\n                for i, tran in enumerate(trans):\n                    tran = np.abs(tran[:3, :3])\n                    good = True\n                    # only accepts trans like [a, b, c] [b, c, a]\n                    if self.group.number != 5 and abs(abs(np.linalg.det(tran)) - 1) > 1e-3:\n                        # print(self.group.number, np.linalg.det(tran))\n                        good = False\n                    if good:\n                        # print(np.linalg.det(tran), tran)\n                        idx.append(i)\n        else:\n            for id in idx:\n                if id >= len(Hs):\n                    raise ValueError(\n                        \"The idx exceeds the number of possible splits\")\n\n        if H is not None:\n            idx = [id for id in idx if Hs[id] == H]\n\n        # if len(idx) == 0:\n        #    raise RuntimeError(\"Cannot find the splitter\")\n\n        struc_sites = self.mol_sites if self.molecular else self.atom_sites\n\n        sites = [site.wp.get_label() for site in struc_sites]\n\n        return idx, sites, t_types, k_types\n\n    def _subgroup_by_splitter(self, splitter, eps=0.05, mut_lat=False):\n        \"\"\"\n        Transform the crystal to subgroup symmetry from a splitter object\n\n        Args:\n            splitter: wyckoff splitter object\n            eps (float): maximum atomic displacement in Angstrom\n            mut_lat (bool): whether or not mutate the lattice\n\n        Returns:\n            new_struc: a new pyxtal structure with lower symmetry\n            or None if the transformation fails\n        \"\"\"\n        # print(splitter)\n        lat1 = np.dot(splitter.R[:3, :3].T, self.lattice.matrix)\n\n        multiples = np.linalg.det(splitter.R[:3, :3])\n        new_struc = self.copy()\n        new_struc.group = splitter.H\n        try:\n            lattice = Lattice.from_matrix(\n                lat1, ltype=new_struc.group.lattice_type)\n        except:\n            self.optimize_lattice()\n            lat1 = np.dot(splitter.R[:3, :3].T, self.lattice.matrix)\n            try:\n                lattice = Lattice.from_matrix(\n                    lat1, ltype=new_struc.group.lattice_type)\n            except:\n                # print('problem with splitter, save it to bug.cif')\n                # print(splitter)\n                # print(self)\n                # self.to_file('bug.cif')\n                # import sys; sys.exit()\n                return None\n\n        if mut_lat:\n            try:\n                lattice = lattice.mutate(degree=eps, frozen=False)  # True)\n                # print('debug subgroup', mut_lat, eps, lattice)\n            except:\n                print(\"skip lattice mutation mostly for triclinic system\")\n\n        h = splitter.H\n        split_sites = []\n        if self.molecular:\n            # below only works when the cell does not change\n            # Fix when a, b, c swaps\n            for i, site in enumerate(self.mol_sites):\n                pos = site.position\n                mol = site.molecule\n                ori = site.orientation\n                coord0 = np.dot(mol.mol.cart_coords, ori.matrix.T)\n\n                wp1 = site.wp\n                ori.reset_matrix(np.eye(3))\n                id = 0\n                for g1s, ops1, ops2 in zip(splitter.G1_orbits[i], splitter.G2_orbits[i], splitter.H_orbits[i]):\n                    if site.wp.multiplicity == len(self.group[0]):\n                        # general wyc\n                        rot = g1s[0].affine_matrix[:3, :3].T\n                    else:\n                        # for special wyc, needs to get better treatment\n                        op = wp1.get_euclidean_generator(\n                            self.lattice.matrix, id)\n                        rot = op.affine_matrix[:3, :3].T\n\n                    # xyz in new lattice\n                    # coord1 = np.dot(coord0, rot)\n                    # coord1 = np.dot(coord1, splitter.inv_R[:3,:3].T)\n                    # coord1 = np.array([np.dot(splitter.R[:3,:3].T, coord) for coord in coord1])\n                    frac = np.dot(np.dot(coord0, self.lattice.inv_matrix), rot)\n                    frac = np.dot(frac, splitter.inv_R[:3, :3].T)\n                    coord1 = np.dot(frac, lattice.matrix)\n\n                    _mol = mol.copy()\n                    center = _mol.get_center(coord1)\n                    _mol.reset_positions(coord1 - center)\n                    # print('============'); print(_mol.mol.to(fmt='xyz'))\n                    pos0 = apply_ops(pos, ops1)[0]  # ; print(pos0, pos)\n                    pos0 -= np.floor(pos0)\n                    dis = (np.random.sample(3) - 0.5).dot(self.lattice.matrix)\n                    dis /= np.linalg.norm(dis)\n                    pos0 += eps * dis * (np.random.random() - 0.5)\n                    wp = Wyckoff_position.from_symops(ops2, h)\n                    _site = mol_site(_mol, pos0, ori, wp, lattice)\n                    _site.type = site.type\n                    split_sites.append(_site)\n                    id += wp.multiplicity\n            new_struc.mol_sites = split_sites\n            new_struc.numMols = [int(round(multiples * numMol))\n                                 for numMol in self.numMols]\n\n        else:\n            for i, site in enumerate(self.atom_sites):\n                pos = site.position\n                for ops1, ops2 in zip(splitter.G2_orbits[i], splitter.H_orbits[i]):\n                    pos0 = apply_ops(pos, ops1)[0]\n                    pos0 -= np.floor(pos0)\n                    dis = (np.random.sample(3) - 0.5).dot(self.lattice.matrix)\n                    dis /= np.linalg.norm(dis)\n                    pos0 += np.dot(eps * dis * (np.random.random() -\n                                   0.5), self.lattice.inv_matrix)\n                    wp = Wyckoff_position.from_symops(ops2, h)\n                    split_sites.append(atom_site(wp, pos0, site.specie))\n\n            new_struc.atom_sites = split_sites\n            new_struc.numIons = [int(round(multiples * numIon))\n                                 for numIon in self.numIons]\n        new_struc.lattice = lattice\n        new_struc.source = \"subgroup\"\n\n        return new_struc\n\n    def apply_perturbation(self, d_lat=0.05, d_coor=0.05, d_rot=1):\n        \"\"\"\n        Perturb the structure without breaking the symmetry.\n\n        Args:\n            d_coor (float): Magnitude of perturbation on atomic coordinates (in Angstroms)\n            d_lat (float): Magnitude of perturbation on lattice (in percentage)\n            d_rot (float): Magnitude of rotational perturbation (in degrees)\n        \"\"\"\n\n        self.lattice = self.lattice.mutate(degree=d_lat)\n\n        if self.molecular:\n            for site in self.mol_sites:\n                site.perturbate(lattice=self.lattice.matrix,\n                                trans=d_coor, rot=d_rot)\n        else:\n            for site in self.atom_sites:\n                site.perturbate(lattice=self.lattice.matrix, magnitude=d_coor)\n\n        self.source = \"Perturbation\"\n\n    def copy(self):\n        \"\"\"\n        Simply copy the structure.\n        \"\"\"\n        return deepcopy(self)\n\n    def _get_coords_and_species(self, absolute=False, unitcell=True):\n        \"\"\"\n        Extract the coordinates and species information.\n\n        Args:\n            absolute (bool): Whether to return cartesian coordinates (True) or\n            fractional coordinates (False)\n            unitcell (bool): Whether to include full unit cell coordinates or\n            just asymmetric unit coordinates\n\n        Returns:\n            tuple: (coords, species)\n            - coords (np.ndarray): N x 3 array of atomic coordinates\n            - species (list): List of atomic species corresponding to coords\n        \"\"\"\n        species = []\n        total_coords = None\n        if self.molecular:\n            for site in self.mol_sites:\n                coords, site_species = site.get_coords_and_species(\n                    absolute, unitcell=unitcell)\n                species.extend(site_species)\n                total_coords = coords if total_coords is None else np.append(\n                    total_coords, coords, axis=0)\n        else:\n            for site in self.atom_sites:\n                species.extend([site.specie] * site.multiplicity)\n                total_coords = site.coords if total_coords is None else np.append(\n                    total_coords, site.coords, axis=0)\n\n            if absolute:\n                total_coords = total_coords.dot(self.lattice.matrix)\n\n        return total_coords, species\n\n    def _get_formula(self):\n        \"\"\"\n        A quick function to get the formula.\n        \"\"\"\n        from pyxtal.database.element import Element\n\n        formula = \"\"\n\n        if self.molecular:\n            numspecies = self.numMols\n            species = [str(mol) for mol in self.molecules]\n        else:\n            specie_list = []\n            for site in self.atom_sites:\n                specie_list.extend([site.specie] * site.wp.multiplicity)\n            if self.species is None:\n                species = list(set(specie_list))\n                self.species = species\n            else:\n                species = self.species\n\n            numIons = np.zeros(len(species), dtype=int)\n            for i, sp in enumerate(species):\n                numIons[i] = specie_list.count(sp)\n            self.numIons = numIons\n            numspecies = self.numIons\n\n        for i, s in zip(numspecies, species):\n            specie = Element(s).short_name if isinstance(s, int) else s\n            formula += f\"{specie:s}{int(i):d}\"\n\n        self.formula = formula\n\n    def get_reduced_composition(self):\n        composition = {}\n        divisor = gcd(*self.numIons)\n        for i, el in enumerate(self.species):\n            composition[el] = self.numIons[i] // divisor\n        return composition\n\n    def get_min_values(self):\n        min_abc = 2.0\n        min_volume = 0.0\n        divisor = gcd(*self.numIons)\n        for i, el in enumerate(self.species):\n            num = self.numIons[i] // divisor\n            radius = Element(el).covalent_radius\n            if min_abc < radius * 2:\n                min_abc = 0.6 * Element(el).covalent_radius * 2\n            min_volume += (4/3) * np.pi * (radius ** 3) * num\n        return min_abc, min_volume\n\n    def get_zprime(self, integer=False):\n        \"\"\"\n        Get zprime for molecular crystal.\n        \"\"\"\n        mult = len(self.group[0])\n        comp = [c / mult for c in self.numMols]\n        if integer:\n            comp = [int(np.ceil(c)) for c in comp]\n        return comp\n\n    def get_1D_comp(self):\n        \"\"\"\n        Get the molecular composition for 1D representation of molecular crystal.\n\n        Returns:\n            list: Number of molecules of each type in the crystal\n        \"\"\"\n        comp = [0] * len(self.molecules)\n        for s in self.mol_sites:\n            for i, m in enumerate(self.molecules):\n                if s.molecule.name == m.name:\n                    comp[i] += 1\n        return comp\n\n    def get_num_torsions(self):\n        \"\"\"\n        Get number of torsions for molecular xtal.\n        \"\"\"\n        N_torsions = 0\n        for s in self.mol_sites:\n            N_torsions += len(s.molecule.torsionlist)\n        return N_torsions\n\n    def to_ase(self, resort=True, center_only=False, add_vaccum=True):\n        \"\"\"\n        Export to ASE Atoms object.\n\n        Args:\n            resort (bool): Whether to resort atoms by atomic number\n            center_only (bool): Only output molecular centers for molecular crystals\n            add_vaccum (bool): Whether to add vacuum layers for 0/1/2D systems\n\n        Returns:\n            ase.Atoms: ASE Atoms object representing the structure\n\n        Raises:\n            RuntimeError: If structure is not valid\n        \"\"\"\n        if self.valid:\n            if self.dim > 0:\n                lattice = self.lattice.copy()\n                if self.molecular:\n                    if center_only:\n                        coords, species = [], []\n                        for site in self.mol_sites:\n                            _coords = site.wp.apply_ops(site.position)\n                            _coords -= np.floor(_coords)\n                            coords.extend(_coords.dot(self.lattice.matrix))\n                            species.extend([site.type + 1] *\n                                           site.wp.multiplicity)\n                    else:\n                        coords, species = self._get_coords_and_species(True)\n                    if add_vaccum:\n                        latt, coords = lattice.add_vacuum(\n                            coords, frac=False, PBC=self.PBC)\n                    else:\n                        latt = lattice.matrix\n                    atoms = Atoms(species, positions=coords,\n                                  cell=latt, pbc=self.PBC)\n                else:\n                    coords, species = self._get_coords_and_species()\n                    coords -= np.floor(coords)\n                    if add_vaccum:\n                        latt, coords = lattice.add_vacuum(coords, PBC=self.PBC)\n                    else:\n                        latt = lattice.matrix\n                    atoms = Atoms(species, scaled_positions=coords,\n                                  cell=latt, pbc=self.PBC)\n                if resort:\n                    permutation = np.argsort(atoms.numbers)\n                    atoms = atoms[permutation]\n                return atoms\n\n            else:\n                coords, species = self._get_coords_and_species(True)\n                return Atoms(species, positions=coords)\n        else:\n            raise RuntimeError(\"No valid structure can be converted to ase.\")\n\n    def to_pymatgen(self, resort=True):\n        \"\"\"\n        Export to Pymatgen Structure object.\n\n        Args:\n            resort (bool): Whether to resort atoms by atomic number\n\n        Returns:\n            pymatgen.core.Structure: Structure object representing the crystal\n\n        Raises:\n            RuntimeError: If structure is not valid\n        \"\"\"\n\n        if self.valid:\n            if self.dim > 0:\n                lattice = self.lattice.copy()\n                # lattice.reset_matrix(shape)\n                coords, species = self._get_coords_and_species()\n                if resort:\n                    permutation = sorted(\n                        range(len(species)), key=species.__getitem__)\n                    # permutation = np.argsort(species)\n                    species = [species[id] for id in permutation]\n                    coords = coords[permutation]\n                # Add space above and below a 2D or 1D crystals\n                latt, coords = lattice.add_vacuum(coords, PBC=self.PBC)\n                return Structure(latt, species, coords)\n            else:\n                # Clusters are handled as large molecules\n                coords, species = self._get_coords_and_species(True)\n                return Molecule(species, coords)\n        else:\n            raise RuntimeError(\n                \"No valid structure can be converted to pymatgen.\")\n\n    def to_pyxtal_center(self):\n        \"\"\"\n        Export molecular crystal to a PyXtal object containing only molecular centers.\n\n        Returns:\n            pyxtal: New PyXtal object with molecules represented as single atoms at their centers.\n\n        Raises:\n            RuntimeError: If structure is not a valid molecular crystal.\n        \"\"\"\n\n        if self.valid and self.molecular:\n            new_struc = pyxtal()\n            new_struc.lattice = self.lattice.copy()\n            newsites = []\n            for site in self.mol_sites:\n                for i, mol in enumerate(self.molecules):\n                    if mol.name == site.molecule.name:\n                        break\n                newsites.append(atom_site(site.wp, site.position, i + 1))\n            new_struc.atom_sites = newsites\n            new_struc.group = self.group\n            new_struc.standard_setting = site.wp.is_standard_setting()\n            new_struc.numIons = self.numMols\n            new_struc.species = []\n            for i in range(len(self.molecules)):\n                new_struc.species.append(i + 1)\n            new_struc.valid = True\n            new_struc.factor = 1.0\n            new_struc.source = \"Mol. Center\"\n            new_struc.dim = self.dim\n            new_struc.PBC = self.PBC\n            new_struc._get_formula()\n            return new_struc\n        else:\n            raise RuntimeError(\n                \"No valid structure can be converted to pymatgen.\")\n\n    def get_XRD(self, **kwargs):\n        \"\"\"\n        Compute the PXRD object.\n\n        Args:\n            **kwargs: Keyword arguments including:\n            wavelength (float): X-ray wavelength, default 1.54184 Å\n            thetas (list): 2θ angle range [min, max], default [0, 180]\n            preferred_orientation (bool): Whether to apply preferred orientation, default False\n            march_parameter (float): March parameter for preferred orientation, default None\n\n        Returns:\n            XRD: A PyXtal XRD object containing powder diffraction data\n        \"\"\"\n        from pyxtal.XRD import XRD\n\n        return XRD(self.to_ase(), **kwargs)\n\n    def optimize_lattice(self, iterations=5, force=False, standard=False):\n        \"\"\"\n        Optimize the lattice if the cell has bad inclination angles.\n\n        Args:\n            iterations (int): Maximum number of iterations for optimization\n            force (bool): Whether to continue optimization even if converged\n            standard (bool): Whether to enforce standard crystallographic setting\n\n        Note:\n            For monoclinic systems, first optimizes the angles to bring them within\n            acceptable ranges. When standard=True, tries to find a transformation to\n            put the structure into the standard crystallographic setting.\n        \"\"\"\n        for _i in range(iterations):\n            lattice, trans, opt = self.lattice.optimize_once()\n            # print(i, opt, self.lattice, \"->\", lattice)\n            if force or opt:\n                self.transform(trans)\n            else:\n                break\n\n        # QZ: to check spglib\n        if standard and 3 <= self.group.number <= 15 and not self.standard_setting:\n            trans1 = self.lattice.get_permutation_matrices()\n            trans2 = self.lattice.get_transformation_matrices()\n            good_trans = None\n            beta_diff = 90\n            wp = self.mol_sites[0].wp if self.molecular else self.atom_sites[0].wp\n\n            for tran1 in trans1:\n                for tran2 in trans2:\n                    _trans = [tran1, tran2]\n                    wp0 = wp.copy()\n                    lat0 = self.lattice.transform_multi(_trans)\n                    wp0.transform_from_matrices(_trans)\n                    beta_diff0 = abs(lat0.beta * 180 / np.pi - 90)\n                    # print(wp0, wp0.is_standard_setting())\n                    if wp0.is_standard_setting() and beta_diff0 < beta_diff:\n                        good_trans = _trans\n                        beta_diff = beta_diff0\n\n            if good_trans is not None:\n                for tran in good_trans:\n                    self.transform(tran)\n            else:\n                print(self.lattice)\n                if self.molecular:\n                    print(self.mol_sites[0].wp)\n                else:\n                    print(self.atom_sites[0].wp)\n                msg = \"Cannot find the standard setting\"\n                raise RuntimeError(msg)\n\n    def update_wyckoffs(self):\n        \"\"\"\n        Update the Wyckoff positions of all sites.\n        \"\"\"\n\n        sites = self.mol_sites if self.molecular else self.atom_sites\n\n        for site in sites:\n            site.update()\n\n    def get_std_representation(self, trans):\n        \"\"\"\n        Perform cell transformation so that the symmetry operations\n        follow standard space group notation\n        \"\"\"\n        pass\n\n    def get_1D_representation(self, standard=False):\n        \"\"\"\n        Get the 1D representation class for molecular crystals\n        \"\"\"\n        if self.molecular:\n            rep = representation.from_pyxtal(self)\n        else:\n            rep = representation_atom.from_pyxtal(self, standard=standard)\n        return rep\n\n    def transform(self, trans, lattice=None):\n        \"\"\"\n        Perform cell transformation and symmetry operation\n\n        Args:\n            trans: 3*3 matrix\n            lattice: pyxtal lattice object\n        \"\"\"\n        if lattice is None:\n            # print(\"perform cell transformation\")\n            lattice = self.lattice.transform(trans)\n\n        lattice0 = lattice.copy()\n        lattice0.reset_matrix()\n\n        sites = self.mol_sites if self.molecular else self.atom_sites\n\n        for j, site in enumerate(sites):\n            pos_abs = np.dot(site.position, self.lattice.matrix)\n            pos_frac = pos_abs.dot(lattice.inv_matrix)\n            pos_frac -= np.floor(pos_frac)\n            wp = site.wp.copy()\n            wp.transform_from_matrix(trans, False, update=False)\n\n            if self.molecular:\n                # Obtain the transformed xyz\n                xyz_abs, _ = site._get_coords_and_species(\n                    absolute=True, first=True)\n                xyz_frac = xyz_abs.dot(lattice.inv_matrix)\n                xyz_abs = np.dot(xyz_frac, lattice0.matrix)\n\n                mol = site.molecule\n                ori = site.orientation\n                ori.reset_matrix(np.eye(3))\n                center = mol.get_center(xyz_abs)\n                mol.reset_positions(xyz_abs - center)\n                sites[j] = mol_site(mol, pos_frac, ori, wp,\n                                    lattice0, site.type)\n            else:\n                sites[j] = atom_site(wp, pos_frac, site.specie)\n\n        # update the hall number\n        for i, site in enumerate(sites):\n            if i == 0:\n                match_spg, match_hall = site.wp.update()\n                if not match_spg:\n                    hall_numbers = [site.wp.hall_number]\n                    # site.wp.update_hall(hall_numbers)\n            else:\n                if not match_spg:\n                    site.wp.update_hall(hall_numbers)\n                else:\n                    site.wp.update_index()\n        # reset the matrix\n        wp0 = sites[0].wp\n        self.lattice = lattice0\n        self.standard_setting = wp0.is_standard_setting()\n        self.group = Group(wp0.hall_number, use_hall=True)\n\n    def to_json(self, filename=\"pyxtal.json\"):\n        \"\"\"\n        Save the model as a dictionary\n        \"\"\"\n        from monty.json import MontyEncoder\n\n        dict0 = self.save_dict()\n        with open(filename, \"w\") as outfile:\n            json.dump(dict0, outfile, cls=MontyEncoder)\n\n    def from_json(self, filename):\n        \"\"\"\n        Load the model from a json file\n        \"\"\"\n        from monty.serialization import loadfn\n\n        data = loadfn(filename)\n        self.load_dict(data)\n\n    def save_dict(self):\n        \"\"\"\n        Save the model as a dictionary\n        \"\"\"\n        if self.molecular:\n            sites = [site.save_dict() for site in self.mol_sites]\n        else:\n            sites = [site.save_dict() for site in self.atom_sites]\n\n        return {\n            \"lattice\": self.lattice.matrix,\n            \"sites\": sites,\n            \"group\": self.group.number,\n            \"molecular\": self.molecular,\n            \"numIons\": self.numIons,\n            \"numMols\": self.numMols,\n            \"factor\": self.factor,\n            \"PBC\": self.PBC,\n            \"formula\": self.formula,\n            \"source\": self.source,\n            \"dim\": self.dim,\n            \"valid\": self.valid,\n        }\n\n    def load_dict(self, dict0):\n        \"\"\"\n        Load the structure from a dictionary\n        \"\"\"\n        self.group = Group(dict0[\"group\"], dict0[\"dim\"])\n        self.lattice = Lattice.from_matrix(\n            dict0[\"lattice\"], ltype=self.group.lattice_type)\n        self.molecular = dict0[\"molecular\"]\n        self.factor = dict0[\"factor\"]\n        self.source = dict0[\"source\"]\n        self.dim = dict0[\"dim\"]\n        self.PBC = dict0[\"PBC\"]\n        self.numIons = dict0[\"numIons\"]\n        self.numMols = dict0[\"numMols\"]\n        self.valid = dict0[\"valid\"]\n        self.formula = dict0[\"formula\"]\n\n        if dict0[\"molecular\"]:\n            self.molecules = [None] * len(self.numMols)\n            sites = [mol_site.load_dict(site) for site in dict0[\"sites\"]]\n            # TODO: this for loop makes repeated calls for duplicated molecules\n            for msite in sites:\n                if self.molecules[msite.type] is None:\n                    self.molecules[msite.type] = msite.molecule\n            self.mol_sites = sites\n        else:\n            sites = [atom_site.load_dict(site) for site in dict0[\"sites\"]]\n            self.atom_sites = sites\n\n    def build(self, group, species, numIons, lattice, sites, tol=1e-2, dim=3, use_hall=False):\n        \"\"\"\n        Build an atomic crystal based on input parameters.\n\n        Args:\n            group (int): Space group number (1-230), e.g. 225\n            species (list): List of atomic species, e.g. ['Na', 'Cl']\n            numIons (list): Number of atoms of each species, e.g. [4, 4]\n            lattice: Lattice object defining unit cell\n            sites (list): List of Wyckoff position dictionaries, one per species\n                 e.g. [[{\"4a\": [0.0, 0.0, 0.0]}], [{\"4b\": [0.5, 0.5, 0.5]}]]\n            tol (float): Tolerance for symmetry finding. Default 0.01\n            dim (int): Dimensionality (0-3). Default 3\n            use_hall (bool): Whether to use Hall number. Default False\n\n        Example:\n            >>> from pyxtal.lattice import Lattice\n            >>> xtal = pyxtal()\n            >>> lat = Lattice.from_para(5.0, 5.0, 5.0, 90, 90, 90, ltype='Cubic')\n            >>> xtal.build(225, ['Na', 'Cl'], [4, 4],\n            ...            lattice=lat,\n            ...            sites=[[{\"4a\": [0, 0, 0]}], [{\"4b\": [0.5, 0.5, 0.5]}]])\n        \"\"\"\n\n        from pyxtal.symmetry import choose_wyckoff\n\n        if self.molecular:\n            raise RuntimeError(\"Cannot support the molecular crystal\")\n\n        if type(group) == Group:\n            self.group = group\n        else:\n            self.group = Group(group, dim=dim, use_hall=use_hall)\n\n        # Lattica needs some special handling here\n        if type(lattice) != Lattice:\n            if type(lattice) == np.ndarray:\n                ltype = self.group.lattice_type\n                if len(lattice) == 3:\n                    lattice = Lattice.from_matrix(lattice, ltype=ltype)\n                elif len(lattice) == 6:  # cell para\n                    [a, b, c, alpha, beta, gamma] = lattice\n                    lattice = Lattice.from_para(\n                        a, b, c, alpha, beta, gamma, ltype=ltype)\n                else:\n                    msg = \"Cannot convert the input array to pyxtal.lattice.Lattice\"\n                    raise ValueError(msg, lattice)\n            else:\n                msg = \"Cannot convert the input array to pyxtal.lattice.Lattice\"\n                raise ValueError(msg, lattice)\n        # else:\n        #    print(lattice, type(lattice), type(lattice)==Lattice, type(lattice)!=Lattice)\n        #    msg = 'The input lattice needs to be a pyxtal.lattice.Lattice class'\n        #    raise ValueError(msg, lattice)\n        self.lattice = lattice\n        self.dim = dim\n        self.factor = 1.0\n        self.PBC = self.group.PBC\n        self.numIons = numIons\n        self.species = species\n        np.zeros(len(numIons), dtype=int)\n        _sites = []\n\n        if len(sites) != len(species):\n            print(len(sites), len(species))\n            raise RuntimeError(\"Inconsistency between sites and species\")\n\n        wp0 = self.group[0]\n        for sp, wps in zip(species, sites):\n            for wp in wps:\n                if isinstance(wp, dict):  # dict\n                    for pair in wp.items():\n                        (key, pos) = pair\n                        _wp = choose_wyckoff(self.group, site=key)\n                        if _wp is not False:\n                            pt = [0.0, 0.0, 0.0] if _wp.get_dof(\n                            ) == 0 else _wp.get_all_positions(pos)[0]\n                            _sites.append(atom_site(_wp, pt, sp))\n                        else:\n                            raise RuntimeError(\"Cannot interpret site\", key)\n                elif len(wp) == 4:  # tuple:\n                    (key, x, y, z) = wp\n                    _wp = choose_wyckoff(self.group, site=key, dim=dim)\n                    #print('debug build', key, x, y, z, _wp.get_label())\n                    if _wp is not False:\n                        if _wp.get_dof() == 0:  # fixed pos\n                            pt = [0.0, 0.0, 0.0]\n                        else:\n                            ans = _wp.get_all_positions([x, y, z])\n                            pt = ans[0] if ans is not None else None\n                            #print('debug build', ans, x, y, z)\n                            # print('debug', ans)\n                        if pt is not None:\n                            _sites.append(atom_site(_wp, pt, sp))\n                    else:\n                        raise RuntimeError(\"Cannot interpret site\", key)\n                else:  # List of atomic coordinates\n                    pt, _wp, _ = wp0.merge(wp, lattice.matrix, tol=tol)\n                    _sites.append(atom_site(_wp, pt, sp))\n\n        self.atom_sites = _sites\n        self.standard_setting = True\n        self.valid = True\n        self.source = \"Build\"\n        self._get_formula()\n\n    def get_alternatives(self, include_self=True, same_letters=False, ref_lat=None, d_tol=2.0, f_tol=0.15):\n        \"\"\"\n        Get alternative structure representations.\n\n        Args:\n            include_self (bool): Whether to include the original structure in the return.\n            same_letters (bool): Whether to require the same Wyckoff letters for alternatives.\n            ref_lat: Reference lattice for comparison.\n            d_tol (float): Tolerance for lattice mismatch.\n            f_tol (float): Tolerance for fractional coordinate mismatch.\n\n        Returns:\n            list: List of alternative pyxtal structures.\n        \"\"\"\n        if include_self:\n            self.wyc_set_id = 0\n            new_strucs = [self]\n        else:\n            new_strucs = []\n\n        # the list of wyckoff indices in the original structure\n        # e.g. [0, 2, 2, 4] -> [a, c, c, e]\n        # ids = [len(self.group)-1-site.wp.index for site in self.atom_sites]\n\n        wyc_sets = self.group.get_alternatives()\n        No = len(wyc_sets[\"No.\"])\n        letters = wyc_sets[\"Transformed WP\"][0]\n        if No > 1:\n            # skip the first setting since it is identity\n            for no in range(1, No):\n                add = (wyc_sets[\"Transformed WP\"][no] ==\n                       letters) if same_letters else True\n                if add:\n                    new_struc = self._get_alternative(\n                        wyc_sets, no, ref_lat, d_tol, f_tol)\n                    if new_struc is not None:\n                        new_strucs.append(new_struc)\n        # print(\"Numbers===============\", len(new_strucs)); import sys; sys.exit()\n        return new_strucs\n\n    def to_standard_setting(self):\n        \"\"\"\n        A short cut to symmetrize the structure in the stardard setting\n        \"\"\"\n        if self.molecular:\n            pmg = self.to_pymatgen()\n            self.from_seed(pmg, molecules=self.molecules, standard=True)\n\n    def resort_species(self, species):\n        \"\"\"\n        Resort the atomic species.\n\n        Args:\n            species (list): List of element symbols, e.g. ['Si', 'O']\n        \"\"\"\n        sp1 = deepcopy(species)\n        sp1.sort()\n        sp2 = deepcopy(self.species)\n        sp2.sort()\n        if sp1 == sp2:\n            self.species = species\n            self.resort()\n        else:\n            ids = []\n            for specie in species:\n                for j, site in enumerate(self.atom_sites):\n                    if site.specie == specie and j not in ids:\n                        ids.append(j)\n            self.atom_sites = [self.atom_sites[j] for j in ids]\n            self.species = species\n            self._get_formula()\n\n    def resort(self):\n        \"\"\"\n        A short cut to resort the sites by self.molecules or self.species\n        \"\"\"\n        ids = []\n        if self.molecular:\n            for mol in self.molecules:\n                for j, site in enumerate(self.mol_sites):\n                    if site.molecule.name == mol.name and j not in ids:\n                        ids.append(j)\n            self.mol_sites = [self.mol_sites[j] for j in ids]\n        else:\n            for specie in self.species:\n                for j, site in enumerate(self.atom_sites):\n                    if site.specie == specie and j not in ids:\n                        ids.append(j)\n            self.atom_sites = [self.atom_sites[j] for j in ids]\n            # print(self.atom_sites)\n\n    def _get_alternative(self, wyc_sets, index, ref_lat=None, d_tol=2.0, f_tol=0.15):\n        \"\"\"\n        Get alternative structure representation from Wyckoff position transformation.\n\n        Args:\n            wyc_sets (dict): Dictionary containing:\n            - 'Coset Representative': Symmetry operation strings\n            - 'Transformed WP': Transformed Wyckoff positions\n            index (int): Index of target Wyckoff set to transform to\n            ref_lat (Lattice, optional): Reference lattice for comparison\n            d_tol (float, optional): Tolerance for lattice mismatch. Defaults to 2.0\n            f_tol (float, optional): Tolerance for fractional coordinate mismatch. Defaults to 0.15\n\n        Returns:\n            pyxtal: A new pyxtal structure after applying the transformation, or None if invalid\n\n        Note:\n            Transforms the structure according to the specified Wyckoff set transformation.\n            If a reference lattice is provided, checks that the transformed lattice\n            matches within the given tolerances.\n        \"\"\"\n        new_struc = self.copy()\n        # xyz_string like 'x+1/4,y+1/4,z+1/4'\n        xyz_string = wyc_sets[\"Coset Representative\"][index]\n        op = get_inverse(SymmOp.from_xyz_str(xyz_string))\n\n        # transform lattice\n        R = op.affine_matrix[:3, :3]  # rotation\n        cell = self.lattice.matrix\n        new_lat = Lattice.from_matrix(\n            np.dot(R, cell), ltype=self.lattice.ltype)\n        # matrix = new_lat.matrix\n        if ref_lat is not None:\n            d_tol1, f_tol1, a_tol1, switch = new_lat.get_diff(ref_lat)\n            if (d_tol1 > d_tol and f_tol1 > f_tol) or (a_tol1 > 15.0) or switch:\n                # print('bad setting', new_lat); print(ref_lat)\n                return None\n\n        # Lattice.from_matrix(matrix, ltype=self.group.lattice_type)\n        new_struc.lattice = new_lat\n\n        for i, site in enumerate(new_struc.atom_sites):\n            id = len(self.group) - site.wp.index - 1\n            letter = wyc_sets[\"Transformed WP\"][index].split()[id]\n            wp = Wyckoff_position.from_group_and_letter(\n                self.group.number, letter)\n            pos = op.operate(site.position)\n            pos1 = wp.search_generator(pos, self.group[0])\n            if pos1 is not None:\n                new_struc.atom_sites[i] = atom_site(wp, pos1, site.specie)\n            else:\n                return None\n                # print(pos)\n                # print(wp)\n                # raise RuntimeError(\"Cannot find the right pos\")\n\n        new_struc.source = f\"Alt. Wyckoff Set [{index:d}]: {xyz_string:s}\"\n        new_struc.wyc_set_id = index\n\n        return new_struc\n\n    def _get_alternative_back(self, index):\n        \"\"\"\n        Get alternative structure representations\n\n        Args:\n            index: the index of target wyc_set\n\n        Returns:\n            a new pyxtal structure after transformation\n        \"\"\"\n        new_struc = self.copy()\n        wyc_sets = self.group.get_alternatives()\n\n        # xyz_string like 'x+1/4,y+1/4,z+1/4'\n        xyz_string = wyc_sets[\"Coset Representative\"][index]\n        op = SymmOp.from_xyz_str(xyz_string)\n        # op = get_inverse(SymmOp.from_xyz_str(xyz_string))\n        letters = wyc_sets[\"Transformed WP\"][0].split()\n        letters1 = wyc_sets[\"Transformed WP\"][index].split()\n\n        for i, site in enumerate(new_struc.atom_sites):\n            # id = len(self.group) - site.wp.index - 1\n            letter1 = site.wp.letter\n            letter = letters[letters1.index(letter1)]\n            # print(\"transition\", letter1, '->', letter)\n            wp = Wyckoff_position.from_group_and_index(\n                self.group.number, letter)\n            pos = op.operate(site.position)\n            pos1 = wp.search_generator(pos, self.group[0])\n            if pos1 is not None:\n                new_struc.atom_sites[i] = atom_site(wp, pos1, site.specie)\n            else:\n                print(pos)\n                print(wp)\n                raise RuntimeError(\"Cannot find the right pos\")\n\n        new_struc.source = f\"Alt. Wyckoff Set [{index:d}]: {xyz_string:s}\"\n        new_struc.wyc_set_id = index\n\n        # transform lattice\n        R = op.affine_matrix[:3, :3]  # rotation\n        matrix = np.dot(R, self.lattice.matrix)\n        new_struc.lattice = Lattice.from_matrix(\n            matrix, ltype=self.group.lattice_type)\n\n        return new_struc\n\n    def check_distance(self):\n        \"\"\"\n        Check intermolecular distance for molecular crystal\n        \"\"\"\n        if self.molecular:\n            return all(ms.short_dist() for ms in self.mol_sites)\n        return None\n\n    def get_density(self):\n        \"\"\"\n        Compute density\n        \"\"\"\n        return self.to_pymatgen().density\n\n    def has_special_site(self, species=None):\n        \"\"\"\n        Check if the crystal has a special site\n        \"\"\"\n        special = False\n        if species is None:\n            species = self.species\n\n        sites = self.mol_sites if self.molecular else self.atom_sites\n\n        for msite in sites:\n            if self.molecular:\n                if msite.wp.index > 0:\n                    special = True\n                    break\n            else:\n                if msite.specie in species and msite.wp.index > 0:\n                    special = True\n                    break\n        return special\n\n    def to_subgroup_zp2(self):\n        \"\"\"\n        Transform a crystal with zprime from 1 to 2 subgroup representation.\n        This function is for molecular crystals only.\n\n        Returns:\n            pyxtal: A new pyxtal structure in the subgroup setting with general Wyckoff positions\n        \"\"\"\n        if not self.molecular:\n            raise RuntimeError(\"This function is only for molecular crystals\")\n\n        if abs(self.get_zprime()[0] - 1.0) > 1e-4:\n            raise RuntimeError(\"This function is only for molecular crystals with zprime=1\")\n\n        ids, g_type = self.group.path_to_zp2()\n        path =[self.random_state.choice(ids)]\n        print(g_type, path)\n        sub, _ = self.subgroup_by_path(g_type, path, eps=0)\n        sub.optimize_lattice()\n        sub.source = \"subgroup\"\n\n        return sub\n\n    def to_subgroup(self, path=None, t_only=True, iterate=False, species=None, verbose=False):\n        \"\"\"\n        Transform a crystal with special sites to a subgroup representation with general sites.\n\n        Args:\n            path (list, optional): List of paths to get the general sites. Defaults to None.\n            t_only (bool): Whether to use only translationengleiche (t) transitions. Defaults to True.\n            iterate (bool): Whether to transform iteratively until all sites are general. Defaults to False.\n            species (list, optional): List of atomic species to transform. Defaults to None.\n            verbose (bool): Whether to print detailed information during transformation. Defaults to False.\n\n        Returns:\n            pyxtal: A new pyxtal structure in the subgroup setting with general Wyckoff positions\n\n        Note:\n            If path is None, the function will compute the path to the general Wyckoff positions.\n            If iterate is True, the function will keep transforming until all sites are general.\n            Recommended for the use of transforming specical to general sites in molecular crystals.\n        \"\"\"\n        if not self.standard_setting:\n            self.optimize_lattice(standard=True)\n        if species is None:\n            species = self.species\n\n        # Compute the path is needed\n        if path is None:\n            if self.molecular:\n                sites = self.mol_sites\n                max_index = max([site.wp.index for site in sites])\n            else:\n                sites = self.atom_sites\n                max_index = max(\n                    [site.wp.index for site in sites if site.specie in species])\n            # print([site.wp.index for site in sites])\n\n            path = self.group.short_path_to_general_wp(max_index, t_only)\n            if verbose: print(\"Identified path\", path)\n\n        if path is not None:\n            gtypes, ids = [], []\n            for p in path:\n                gtypes.append(p[0])\n                ids.append(p[1])\n            sub, _ = self.subgroup_by_path(gtypes, ids, eps=0)\n            sub.optimize_lattice()\n            sub.source = \"subgroup\"\n        else:\n            sub = self.copy()\n\n        if iterate and sub.has_special_site():\n            sub = sub.to_subgroup()\n\n        return sub\n\n    def show(self, **kwargs):\n        \"\"\"\n        Display the crystal .\n        \"\"\"\n        if self.molecular:\n            return display_molecular(self, **kwargs)\n        else:\n            return display_atomic(self, **kwargs)\n\n    def get_free_axis(self):\n        \"\"\"\n        Check if the a, b, c axis have free parameters\n        \"\"\"\n        free_axis = self.group.get_free_axis()\n\n        for site in self.atom_sites:\n            axis = site.wp.get_frozen_axis()\n            for ax in axis:\n                if ax in free_axis:\n                    free_axis.remove(ax)\n            if len(free_axis) == 0:\n                break\n        return free_axis\n\n    def find_matched_lattice(self, ref_struc, d_tol=2.0, f_tol=0.15):\n        \"\"\"\n        Compute the displacement w.r.t. the reference structure\n\n        Args:\n            ref_struc: reference pyxtal structure (assuming the same atomic ordering)\n            d_tol: tolerence of mismatch in the absolute scale\n            f_tol: tolerence of mismatch in the fractional scale\n\n        Returns:\n            ref_struc with matched lattice\n        \"\"\"\n        ref_struc.optimize_lattice()\n        l1 = self.lattice\n        l2 = ref_struc.lattice\n        # print(l1, l2)\n        if self.group.number <= 15:\n            # QZ: here we enumerate all possible transformations, maybe redundant\n            trans_good, _ = l2.search_transformations(l1, d_tol, f_tol)\n            # print(l1, l2, len(trans_good)); import sys; sys.exit()\n            good_strucs = []\n\n            for trans in trans_good:\n                ref_struc0 = ref_struc.copy()\n                for tran in trans:\n                    ref_struc0.transform(tran)\n                # print(ref_struc0, len(trans))\n                if ref_struc0.standard_setting:\n                    good_strucs.append(ref_struc0)\n                # ============================== To remove\n                # wp = ref_struc0.atom_sites[0].wp\n                # pt = ref_struc0.atom_sites[0].position\n                # if wp.is_standard_setting():\n                #    good_strucs.append(ref_struc0)\n                # else:\n                #    valid, vector = wp.check_translation(pt)\n                #    if valid:\n                #        ref_struc0.translate(vector, reset_wp=True)\n                #        ref_struc0.standard_setting = True\n                #        good_strucs.append(ref_struc0)\n\n            return good_strucs\n        else:\n            d_tol1, f_tol1, a_tol1, switch = l1.get_diff(l2)\n            if d_tol1 > d_tol and f_tol1 > f_tol:\n                return []\n            else:\n                return [ref_struc]\n\n    def check_mapping(self, ref_struc):\n        \"\"\"\n        Compute the displacement w.r.t. the reference structure\n\n        Args:\n            ref_struc: reference pyxtal structure (assuming the same atom order)\n\n        Returns:\n            True or False\n        \"\"\"\n        orders = list(range(len(self.atom_sites)))\n        atom_sites = self.atom_sites\n        for site1 in atom_sites:\n            match = False\n            # search for the best match\n            for i in orders:\n                site2 = ref_struc.atom_sites[i]\n                if site1.specie == site2.specie and site1.wp.index == site2.wp.index:\n                    match = True\n                    break\n            if match:\n                orders.remove(i)\n            else:\n                return False\n        return True\n\n    def get_disps_single(self, ref_struc, trans, d_tol=1.2):\n        \"\"\"\n        Compute the displacement w.r.t. the reference structure\n\n        Args:\n            ref_struc: reference pyxtal structure (assuming the same atom order)\n            trans: translation vector\n            d_tol: tolerence of mismatch\n\n        Returns:\n            Atomic displacements in np.array\n            translation:\n        \"\"\"\n        cell1 = self.lattice.matrix\n        disps = []\n        orders = list(range(len(self.atom_sites)))\n\n        atom_sites = self.atom_sites\n        for site1 in atom_sites:\n            match = False\n\n            # search for the best match\n            ds = []\n            ids = []\n            _disps = []\n            for i in orders:\n                site2 = ref_struc.atom_sites[i]\n                if site1.specie == site2.specie and site1.wp.index == site2.wp.index:\n                    disp, dist = site1.get_disp(site2.position, cell1, trans)\n                    # strs = \"{:2s} \".format(site1.specie)\n                    # strs += \"{:6.3f} {:6.3f} {:6.3f}\".format(*site1.position)\n                    # strs += \" => {:6.3f} {:6.3f} {:6.3f} \".format(*site2.position)\n                    # strs += \"[{:6.3f} {:6.3f} {:6.3f}] {:6.3f}\".format(*disp, dist)\n                    # if dist < d_tol*1.2: strs += ' True'\n                    # print(strs)\n\n                    if dist < 0.3:\n                        match = True\n                        break\n\n                    if dist < 1.2 * d_tol:\n                        ds.append(dist)\n                        ids.append(i)\n                        _disps.append(disp)\n                        # print(\"========\", ds, ids, site1.specie, site2.specie)\n            if match:\n                disps.append(disp)\n                orders.remove(i)\n            else:\n                if len(ds) > 0:\n                    ds = np.array(ds)\n                    id = np.argmin(ds)\n                    disps.append(_disps[id])\n                    orders.remove(ids[id])\n                    match = True\n\n            # print(match, site1, site2, trans, dist)\n            if not match:\n                return None, 5.0, False\n\n        disps = np.array(disps)\n        d = np.max(np.linalg.norm(disps.dot(cell1), axis=1))\n\n        return disps, d, True\n\n    def get_disps_optim(self, ref_struc, trans, d_tol):\n        \"\"\"\n        Args:\n            ref_struc: reference pyxtal structure (assuming the same atom order)\n            trans: translation vector\n            d_tol: tolerence of mismatch\n\n        Returns:\n            Atomic displacements in np.array\n            translation:\n        \"\"\"\n\n        from scipy.optimize import minimize\n\n        def fun(tran, ref_struc, d_tol, axis):\n            for i in range(3):\n                if i not in axis:\n                    tran[i] = 0\n            disp, d, _ = self.get_disps_single(ref_struc, tran, d_tol)\n            return d\n\n        res = minimize(\n            fun,\n            trans,\n            args=(ref_struc, d_tol, self.axis),\n            method=\"Nelder-Mead\",\n            options={\"maxiter\": 10},\n        )\n        # print(\"Best_dist: {:6.3f} [{:6.3f} {:6.3f} {:6.3f}]\".format(res.fun, *res.x))\n        disp, d, _ = self.get_disps_single(ref_struc, res.x, d_tol)\n        return disp, d, res.x\n\n    def get_init_translations(self, ref_struc, tol=0.75):\n        \"\"\"\n        Compute the displacement w.r.t. the reference structure\n\n        Args:\n            ref_struc: reference pyxtal structure (assuming the same atom order)\n\n        Returns:\n            list of possible translations\n        \"\"\"\n        # print(\"+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++\")\n        # print(ref_struc)\n\n        axis = self.get_free_axis()\n\n        translations = []\n        # choose the one and avoid hydrogen is possible\n\n        for specie in self.species:\n            for site1 in self.atom_sites:\n                if site1.specie == specie:\n                    break\n            for i in range(len(self.atom_sites)):\n                site2 = ref_struc.atom_sites[i]\n                if site1.specie == site2.specie and site1.wp.index == site2.wp.index:\n                    trans0 = site1.get_translations(site2.position, axis)\n                    translations.extend(trans0)\n\n        # remove close translations\n        good_translations = []\n        for trans in translations:\n            match = False\n            for trans_ref in good_translations:\n                diff = trans - trans_ref\n                diff -= np.rint(diff)\n                diff = np.dot(diff, self.lattice.matrix)\n                if np.linalg.norm(diff) < tol:\n                    match = True\n                    break\n            if not match:\n                good_translations.append(trans)\n        self.axis = axis\n        return good_translations\n\n    def is_duplicate(self, ref_strucs):\n        \"\"\"\n        check if the structure is exactly the same\n        \"\"\"\n\n        lat0 = self.lattice\n        pos0 = self.atom_sites[0].position\n        for ref_struc in ref_strucs:\n            d_tol1, f_tol1, a_tol1, switch = ref_struc.lattice.get_diff(lat0)\n            # print(d_tol1, f_tol1, a_tol1, switch); import sys; sys.exit()\n            if (d_tol1 + a_tol1) < 1e-3 and not switch:\n                tran = np.zeros(\n                    [3]) if self.group.number > 15 else ref_struc.atom_sites[0].position - pos0\n                disp, d, valid = self.get_disps_single(\n                    ref_struc, -tran, d_tol=0.1)\n                # print(self); print(ref_struc), print(\"=====\", d); import sys; sys.exit()\n                if d < 1e-3:\n                    return True\n        return False\n\n    def get_disps_sets(self, ref_struc, d_tol, d_tol2=0.3, ld_tol=2.0, fd_tol=0.15, keep_lattice=False):\n        \"\"\"\n        Compute the displacement w.r.t. a reference structure (considering all wycsets)\n\n        Args:\n            ref_struc: reference pyxtal structure (assuming the same atomic ordering)\n            d_tol: maximally allowed atomic displacement\n            d_tol2: displacement that allows early termination\n            kepp_lattice: whether or not change the WP sets\n\n        Returns:\n            Atomic displacements in np.array\n        \"\"\"\n        all_disps = []\n        all_trans = []\n        all_ds = []\n        good_ref_strucs = []\n        bad_ref_strucs = []\n        # print(ld_tol, fd_tol)\n        if keep_lattice:\n            ref_strucs_matched = [ref_struc]\n        else:\n            ref_strucs_matched = self.find_matched_lattice(\n                ref_struc, d_tol=ld_tol, f_tol=fd_tol)\n\n        for _i, ref_struc_matched in enumerate(ref_strucs_matched):\n            ref_strucs_alt = ref_struc_matched.get_alternatives(\n                ref_lat=self.lattice, d_tol=ld_tol, f_tol=fd_tol)\n            for _j, ref_struc_alt in enumerate(ref_strucs_alt):\n                # initial setup\n                d_min = 10.0\n                disp_min = None\n                trans = []\n\n                # print('========================', ref_struc_alt)\n                # print('=======', i, j, len(ref_strucs_matched), len(ref_strucs_alt))\n                # must have the same wp letters and  different strucs\n                if self.check_mapping(ref_struc_alt):\n                    # if not ref_struc_alt.is_duplicate(good_ref_strucs+bad_ref_strucs):\n                    trans = self.get_init_translations(ref_struc_alt)\n\n                for _k, tran in enumerate(trans):\n                    disp, d, valid = self.get_disps_single(\n                        ref_struc_alt, tran, d_tol)\n                    if valid and d > 0.3 and len(self.axis) > 0:\n                        disp, d, tran = self.get_disps_optim(\n                            ref_struc_alt, tran, d_tol)\n                    # update\n                    if d < d_min:\n                        d_min = d\n                        disp_min = disp\n                        trans_min = tran\n\n                    # strs = \"\\nlattice {:d} wyc {:d} trans {:d}\".format(i, j, k)\n                    # strs += \"[{:6.3f} {:6.3f} {:6.3f}] {:6.3f}\".format(*tran, d)\n                    # print(strs)\n\n                if d_min < d_tol2:  # Return it early\n                    return disp_min, trans_min, ref_struc_alt, d_min\n                elif d_min < d_tol:  # add to database\n                    all_ds.append(d_min)\n                    all_disps.append(disp_min)\n                    all_trans.append(trans_min)\n                    good_ref_strucs.append(ref_struc_alt)\n                elif d_min < 5.1:  # add bad\n                    bad_ref_strucs.append(ref_struc_alt)\n\n        # choose the best\n        # print(\"Good_candiates\", len(good_ref_strucs), \"Bad canidates\", len(bad_ref_strucs))\n        if len(all_ds) > 0:\n            all_ds = np.array(all_ds)\n            id = np.argmin(all_ds)\n            if all_ds[id] < d_tol:\n                return all_disps[id], all_trans[id], good_ref_strucs[id], all_ds[id]\n            else:\n                return None, None, None, None\n        else:\n            return None, None, None, None\n\n        return None, None, None, None\n\n    def _get_elements_and_sites(self):\n        \"\"\"\n        Sometimes, the atoms are not arranged in order\n        group the elements, sites\n\n        Returns:\n            elements: ['Si', 'O']\n            sites: [['4b'], ['4a','4a']]\n        \"\"\"\n        elements = []\n        sites = []\n        for at_site in self.atom_sites:\n            e = at_site.specie\n            site = at_site.wp.get_label()\n            if e not in elements:\n                elements.append(e)\n                sites.append([site])\n            else:\n                id = elements.index(e)\n                sites[id].append(site)\n        return elements, sites\n\n    def sort_sites_by_mult(self):\n        mults = np.array([site.wp.multiplicity for site in self.atom_sites])\n        seq = np.argsort(mults)\n        self.atom_sites = [self.atom_sites[i] for i in seq]\n\n    def sort_sites_by_numIons(self, seq=None):\n        if seq is None:\n            seq = np.argsort(self.numIons)\n\n        self.atom_sites = [\n            site for i in seq for site in self.atom_sites if self.species[i] == site.specie]\n\n    def get_transition(self, ref_struc, d_tol=1.0, d_tol2=0.3, N_images=2, max_path=30, both=False):\n        \"\"\"\n        Get the splitted wyckoff information along a given path:\n\n        Args:\n            ref_struc: structure with subgroup symmetry\n            d_tol: maximally allowed atomic displacement\n            d_tol2: displacement that allows early termination\n            N_images: number of intermediate images\n            max_path: maximum number of paths\n            both: whether or not do interpolation along both sides\n\n        Returns:\n            - strucs:\n            - displacements:\n            - cell translation:\n            - the list of space groups along the path\n            - the list of splitters along the path\n        \"\"\"\n        # ref_struc.sort_sites_by_numIons()\n        # self.sort_sites_by_numIons()\n        paths = self.group.search_subgroup_paths(ref_struc.group.number)\n        if len(paths) == 0:\n            print(\"No valid paths between the structure pairs\")\n            return None, None, None, None, None\n        else:\n            Skipped = len(paths) - max_path\n            if Skipped > 0:\n                paths = paths[:max_path]  # sample(paths, max_path)\n\n            good_ds = []\n            good_strucs = []\n            good_disps = []\n            good_paths = []\n            good_trans = []\n            good_splitters = []\n\n            for p in paths:\n                r = self.get_transition_by_path(\n                    ref_struc, p, d_tol, d_tol2, N_images, both)\n                (strucs, disp, tran, count, sps) = r\n                if count == 0:\n                    # prepare more paths to increase diversity\n                    add_paths = self.group.add_k_transitions(p)\n                    for p0 in add_paths:\n                        r = self.get_transition_by_path(\n                            ref_struc, p0, d_tol, d_tol2, N_images, both)\n                        (strucs, disp, tran, count, sps) = r\n                        if strucs is not None:\n                            if strucs[-1].disp < d_tol2:  # stop\n                                return strucs, disp, tran, p0, sps\n                            else:\n                                good_ds.append(strucs[-1].disp)\n                                good_disps.append(disp)\n                                good_paths.append(p0)\n                                good_strucs.append(strucs)\n                                good_trans.append(tran)\n                                good_splitters.append(sps)\n                else:\n                    if strucs is not None:\n                        if strucs[-1].disp < d_tol2:\n                            return strucs, disp, tran, p, sps\n                        else:\n                            good_ds.append(strucs[-1].disp)\n                            good_disps.append(disp)\n                            good_paths.append(p)\n                            good_strucs.append(strucs)\n                            good_trans.append(tran)\n                            good_splitters.append(sps)\n                # Early stop\n                if len(good_ds) > 5:\n                    break\n            if len(good_ds) > 0:\n                # print(\"Number of candidate path:\", len(good_ds))\n                good_ds = np.array(good_ds)\n                id = np.argmin(good_ds)\n                return (\n                    good_strucs[id],\n                    good_disps[id],\n                    good_trans[id],\n                    good_paths[id],\n                    good_splitters[id],\n                )\n\n            if Skipped > 0:\n                print(\"Warning: ignore some solutions: \", Skipped)\n\n            return None, None, None, p, None\n\n    def get_transition_by_path(self, ref_struc, path, d_tol, d_tol2=0.5, N_images=2, both=False):\n        \"\"\"\n        Get the splitted wyckoff information along a given path:\n\n        Args:\n            ref_struc: structure with subgroup symmetry\n            path: a list of transition path\n            d_tol: maximally allowed atomic displacement\n            d_tol2: displacement that allows early termination\n            N_images: number of intermediate images\n            both: interpolation on both sides\n\n        Returns:\n            - strucs:\n            - displacements:\n            - cell translation:\n        \"\"\"\n        import string\n\n        # print(\"Searching the transition path.....\", path)\n        # Here we only check symbols\n        count_match = 0\n        elements0, sites_G = self._get_elements_and_sites()\n        elements1, sites_H = ref_struc._get_elements_and_sites()\n        # resort sites_H based on elements0\n        seq = [elements1.index(x) for x in elements0]\n        sites_H = [sites_H[i] for i in seq]\n        numIons_H = [sum(int(l[:-1]) for l in site) for site in sites_H]\n\n        # enumerate all possible solutions\n        ids = []\n        g_types = []\n        G = self.group\n        for p in path[1:]:\n            dicts, g_type = G.get_max_subgroup(p)\n            _ids = []\n            for i, sub in enumerate(dicts[\"subgroup\"]):\n                tran = dicts[\"transformation\"][i]\n                if sub == p and np.linalg.det(tran[:3, :3]) <= 4:\n                    _ids.append(i)\n            ids.append(_ids)\n            g_types.append(g_type)\n            G = Group(p, quick=True)\n\n        # print(ids)\n        sols = list(itertools.product(*ids))\n\n        # loop over all\n        disps = []\n        refs = []\n        trans = []\n        ds = []\n        splitters = []\n\n        for sol in sols:\n            _sites = deepcopy(sites_G)\n            G = self.group\n            sol = list(sol)\n            # mult = 1\n            for p, s in zip(path[1:], sol):\n                _sites0 = []\n                dicts, _ = G.get_max_subgroup(p)\n                relation = dicts[\"relations\"][s]\n                # tran = dicts['transformation'][s]; mult *= np.linalg.det(tran[:3,:3])\n                # add site for each element\n                for site in _sites:\n                    _site = []\n                    for label in site:\n                        try:\n                            index = string.ascii_lowercase.index(label[-1])\n                        except ValueError:  # '8A'\n                            index = 26\n                        _site.extend(relation[index])\n                    _sites0.append(_site)\n                _sites = _sites0\n                G = Group(p, quick=True)\n            # print('============', path, mult)\n\n            # match in sites and numbers\n            match = True\n            for i, site in enumerate(_sites):\n                # sites\n                if len(site) != len(sites_H[i]):\n                    # print(\"bad sites\", elements0[i], site, sites_H[i])\n                    match = False\n                    break\n                # composition\n                number = sum(int(l[:-1]) for l in site)\n                if number != numIons_H[i]:\n                    # print(\"bad number\", site, number, numIons_H[i])\n                    match = False\n                    break\n            # if int(mult) == 2: print(path, _sites0, match)\n            # make subgroup\n            if match:\n                count_match += 1\n                s, sps = self.subgroup_by_path(g_types, ids=sol, eps=0)\n                if s is not None:\n                    disp, tran, s, max_disp = ref_struc.get_disps_sets(\n                        s, d_tol, d_tol2)\n                    # import sys; sys.exit()\n                    if disp is not None:\n                        # early termination\n                        if max_disp < d_tol2:\n                            cell = s.lattice.matrix\n                            strucs = ref_struc.make_transitions(\n                                disp, cell, tran, N_images, both)\n                            return strucs, disp, tran, count_match, sps\n                        else:\n                            disps.append(disp)\n                            refs.append(s)\n                            trans.append(tran)\n                            ds.append(max_disp)\n                            splitters.append(sps)\n\n        if len(ds) > 0:\n            ds = np.array(ds)\n            id = np.argmin(ds)\n            cell = refs[id].lattice.matrix\n            tran = trans[id]\n            disp = disps[id]\n            sps = splitters[id]\n            strucs = ref_struc.make_transitions(\n                disp, cell, tran, N_images, both)\n            return strucs, disp, tran, count_match, splitters\n\n        else:\n            return None, None, None, count_match, None\n\n    def translate(self, trans, reset_wp=False):\n        \"\"\"\n        Move the atomic sites along a translation vector.\n\n        Args:\n            trans (array): 1x3 translation vector array\n            reset_wp (bool): Whether to reset Wyckoff positions after translation\n\n        Note:\n            This operation may change the structure's symmetry\n        \"\"\"\n        for site in self.atom_sites:\n            site.update(site.position + trans, reset_wp=reset_wp)\n\n    def make_transitions(self, disps, lattice=None, translation=None, N_images=3, both=False):\n        \"\"\"\n        Make pyxtals by following atomic displacements.\n\n        Args:\n            disps (numpy.ndarray): Nx3 array of atomic displacements in fractional coordinates\n            lattice (numpy.ndarray, optional): 3x3 cell matrix. Defaults to self.lattice.matrix\n            translation (numpy.ndarray, optional): Overall translation vector. Defaults to None\n            N_images (int): Number of intermediate images to generate\n            both (bool): Whether to interpolate on both sides of the path. Defaults to False\n\n        Returns:\n            list: List of pyxtal structures along the transition path\n        \"\"\"\n        N_images = max([N_images, 2])\n        cell = self.lattice.matrix\n        strucs = []\n\n        disps = np.array(disps)\n        disps /= N_images - 1\n        max_disp = np.max(np.linalg.norm(disps.dot(cell), axis=1))\n        l_disps = np.zeros([3, 3]) if lattice is None else (\n            lattice - cell) / (N_images - 1)\n\n        if translation is None:\n            translation = np.zeros([3])\n\n        i_list = range(2 * N_images - 1) if both else range(N_images)\n\n        for i in i_list:\n            struc = self.copy()\n            for j, site in enumerate(struc.atom_sites):\n                coord = site.position + i * disps[j] + translation\n                struc.atom_sites[j].update(coord)\n            struc.source = f\"Transition {i:d} {max_disp * i:6.3f}\"\n            struc.disp = max_disp * i\n            if i >= N_images:\n                struc.lattice.set_matrix(\n                    cell - (i - 2 * (N_images - 1)) * l_disps)\n            else:\n                struc.lattice.set_matrix(cell + i * l_disps)\n            strucs.append(struc)\n        return strucs\n\n    def get_intermolecular_energy(self, factor=2.0, max_d=10.0):\n        \"\"\"\n        Get the intermolecular interactions for molecular crystals based on\n        atom-atom potentials from:\n\n        Reference:\n            A. Gavezzotti and G. Filippini, Journal of Physical Chemistry,\n            vol. 98, no. 18, pp. 4831-4837 (1994)\n\n        Args:\n            factor (float): scaling factor applied to van der Waals radii\n            max_d (float): maximum distance cutoff\n\n        Returns:\n            float: Total intermolecular interaction energy\n        \"\"\"\n        eng = 0\n        for i in range(len(self.mol_sites)):\n            res = self.get_neighboring_molecules(\n                i, factor=factor, max_d=max_d, ignore_E=False)\n            eng += np.array(res[-1]).sum()\n        return eng\n\n    def get_neighboring_molecules(self, site_id=0, factor=1.5, max_d=5.0, ignore_E=True):\n        \"\"\"\n        For molecular crystals, get the neighboring molecules for a given WP.\n\n        Args:\n            site_id (int): The index of reference molecular site to analyze\n            factor (float): Scaling factor for van der Waals tolerance\n            max_d (float): Maximum distance cutoff for finding neighbors\n            ignore_E (bool): Whether to ignore energy calculations\n\n        Returns:\n            tuple: Five lists containing neighbor information:\n            min_ds (list): Shortest distances to neighboring molecules\n            neighs (list): Cartesian coordinates of neighboring molecules\n            comps (list): Molecular types of neighbors\n            Ps (list): Binary flags indicating if neighbor is same site (0) or different site (1)\n            engs (list): Interaction energies with neighboring molecules\n        \"\"\"\n        min_ds = []\n        neighs = []\n        comps = []\n        Ps = []\n        engs = []\n        site0 = self.mol_sites[site_id]\n        site0.get_ijk_lists()\n        for id0, site1 in enumerate(self.mol_sites):\n            if id0 == site_id:\n                min_d0, neigh0, P, eng = site0.get_neighbors_auto(\n                    factor, max_d, ignore_E)\n            else:\n                min_d0, neigh0, eng = site0.get_neighbors_wp2(\n                    site1, factor, max_d, ignore_E)\n                P = [1] * len(neigh0)\n            comp = [site1.type] * len(min_d0)\n            neighs.extend(neigh0)\n            min_ds.extend(min_d0)\n            Ps.extend(P)\n            comps.extend(comp)\n            engs.extend(eng)\n\n        ids = np.argsort(min_ds) if engs[0] is None else np.argsort(engs)\n\n        neighs = [neighs[i] for i in ids]\n        comps = [comps[i] for i in ids]\n        min_ds = [min_ds[i] for i in ids]\n        Ps = [Ps[i] for i in ids]\n        engs = [engs[i] for i in ids]\n        return min_ds, neighs, comps, Ps, engs\n\n    def get_spherical_images(self, **kwargs):\n        \"\"\"\n        Get the spherical image representation of the crystal structure.\n\n        Args:\n            **kwargs:\n            model (str): 'molecule' or 'contacts'\n            Other arguments passed to spherical_image()\n\n        Returns:\n            sph: Spherical image representation object\n        \"\"\"\n        from pyxtal.descriptor import spherical_image\n\n        return spherical_image(self, **kwargs)\n\n    def get_neighboring_dists(self, site_id=0, factor=1.5, max_d=5.0):\n        \"\"\"\n        Get the neighboring molecules and contact pairs for a given Wyckoff position.\n\n        Args:\n            site_id (int): Index of reference molecular site. Defaults to 0\n            factor (float): Scaling factor for van der Waals tolerance. Defaults to 1.5\n            max_d (float): Maximum distance cutoff. Defaults to 5.0\n\n        Returns:\n            tuple:\n            - engs (list): Contact energies from atom-atom potentials\n            - pairs (list): List of short contact atom pairs\n            - dists (list): Corresponding distances for each contact pair\n        \"\"\"\n        pairs = []\n        engs = []\n        dists = []\n\n        site0 = self.mol_sites[site_id]\n        site0.get_ijk_lists()\n        for id0, site1 in enumerate(self.mol_sites):\n            if id0 == site_id:\n                _eng, _pair, _dist = site0.get_neighbors_auto(\n                    factor, max_d, False, detail=True)\n            else:\n                _eng, _pair, _dist = site0.get_neighbors_wp2(\n                    site1, factor, max_d, False, detail=True)\n            pairs.extend([p[1] for p in _pair])\n            engs.extend(_eng)\n            dists.extend(_dist)\n        return engs, pairs, dists\n\n    def show_mol_cluster(\n        self,\n        id,\n        factor=1.5,\n        max_d=4.0,\n        plot=True,\n        ignore_E=False,\n        cmap=\"YlGn\",\n        **kwargs,\n    ):\n        \"\"\"\n        Display the local packing environment for a selected molecule.\n        \"\"\"\n        np.set_printoptions(precision=3)\n        min_ds, neighs, comps, Ps, engs = self.get_neighboring_molecules(\n            id, factor, max_d, ignore_E)\n        print(\"Number of neighboring molecules\", len(engs))\n        print(np.array(engs))\n\n        if plot:\n            import matplotlib.pyplot as plt\n            # from scipy.ndimage.filters import gaussian_filter1d\n\n            plt.figure()\n            x_min, x_max, size = 0, 2.5, 100\n            res = (x_max - x_min) / size\n            plt.gca()\n            x = np.linspace(x_min, x_max, size)\n            y = np.zeros([size, 2])\n            for d, p in zip(min_ds, Ps):\n                j = round(d / res)\n                if p == 0:\n                    y[j, 0] += 1\n                else:\n                    y[j, 1] += 1\n            # y[:, 1] = gaussian_filter1d(y[:, 0], 0.2)\n            plt.plot(x, y[:, 0], c=\"g\", label=f\"Self({int(sum(y[:, 0])):d})\")\n            if np.sum(y[:, 1]) > 1e-1:\n                plt.plot(x, y[:, 1], c=\"c\",\n                         label=f\"Other({int(sum(y[:, 1])):d})\")\n\n            cut = min_ds[-1]\n            CN = len(min_ds)\n\n            plt.axvline(x=cut, c=\"r\", ls=\":\", label=f\"Cutoff_{CN:d}\")\n            plt.legend()\n            plt.xlim([x_min, x_max])\n            plt.xlabel(\"R\")\n            plt.ylabel(\"Intensity\")\n            plt.show()\n\n        site0 = self.mol_sites[id]\n        coord0, specie0 = site0._get_coords_and_species(\n            absolute=True, first=True)\n        molecules = [Molecule(specie0, coord0)]\n\n        for neigh, typ in zip(neighs, comps):\n            specie0 = self.molecules[typ].mol.atomic_numbers\n            molecules.append(Molecule(specie0, neigh))\n\n        return display_cluster(molecules, self.lattice.matrix, engs, cmap, **kwargs)\n\n    def substitute_1_2(\n        self,\n        dicts,\n        ratio=None,\n        group_type=\"t+k\",\n        max_cell=4,\n        min_cell=0,\n        max_wp=None,\n        N_groups=None,\n        N_max=10,\n        criteria=None,\n    ):\n        \"\"\"\n        Derive the BC compounds from A via subgroup relation.\n\n        For example:\n        - From C to BN\n        - From SiO2 to AlPO3\n\n        The key is to split A's Wyckoff positions to B and C with respect to composition relation.\n        If the current parent crystal doesn't allow splitting, look for the subgroup.\n\n        Args:\n            dicts (dict): Substitution dictionary, e.g. {\"F\": \"Cl\"}\n            ratio (list): Composition ratio list, e.g. [1, 1]\n            group_type (str): Type of subgroup:\n                - 't': translationengleiche\n                - 'k': klassengleiche\n                - 't+k': both\n            max_cell (float): Maximum cell reconstruction allowed\n            min_cell (float): Minimum cell reconstruction allowed\n            max_wp (int): Maximum number of Wyckoff positions\n            N_groups (int): Maximum number of trial subgroups\n            N_max (int): Maximum number of output structures\n            criteria (dict): Dictionary of validity criteria\n\n        Returns:\n            list: List of pyxtal structures after substitution\n\n        \"\"\"\n        from pyxtal.util import new_struc_wo_energy\n\n        if ratio is None:\n            ratio = [1, 1]\n        xtals = self._substitute_1_2(dicts, ratio)\n        xtals = [\n            xtal for xtal in xtals if criteria is None or xtal.check_validity(criteria)]\n\n        if len(xtals) == 0:\n            # print(\"\\nCannot split, look for subgroup representation\")\n            subs = self.subgroup(\n                group_type=group_type,\n                max_cell=max_cell,\n                min_cell=min_cell,\n                N_groups=N_groups,\n            )\n            # print(\"Found {:d} subgroup representatios\".format(len(subs)))\n            for sub in subs:\n                # print(sub)\n                _xtals = sub._substitute_1_2(dicts, ratio)\n                for _xtal in _xtals:\n                    if max_wp is not None and len(_xtal.atom_sites) > max_wp:\n                        continue\n                    if new_struc_wo_energy(_xtal, xtals):\n                        add = True\n\n                        if criteria is not None and not _xtal.check_validity(criteria):\n                            add = False\n\n                        if add:\n                            xtals.append(_xtal)\n                            print(\"Add substitution\", _xtal.get_xtal_string())\n                            if len(xtals) == N_max:\n                                break\n                    # print('Add {:d} substitutions in subgroup {:d}'.format(len(_xtals), sub.group.number))\n        else:\n            print(\n                f\"Good representation ({len(xtals):d})\", self.get_xtal_string())\n        print(f\"Found {len(xtals):d} substitutions in total\")\n        return xtals\n\n    # , group_type='t', max_cell=4, min_cell=0):\n    def _substitute_1_2(self, dicts, ratio=None):\n        \"\"\"\n        Derive the BC compounds from A via subgroup relation\n        For example, from C to BN or from SiO2 to AlPO3.\n        The key is to split A's wyckoff site to B and C by w.r.t. composition relation.\n\n        Args:\n            dicts: e.g., {\"F\": \"Cl\"}\n            ratio: e.g., [1, 1]\n            group_type (string): `t`, `k` or `t+k`\n            max_cell (float): maximum cell reconstruction\n            min_cell (float): maximum cell reconstruction\n\n        Returns:\n            A list of pyxtal structures\n        \"\"\"\n        from pyxtal.util import split_list_by_ratio\n\n        if ratio is None:\n            ratio = [1, 1]\n        if len(dicts) > 1:\n            raise ValueError(\"Only one item allowed in the input dicts\", dicts)\n\n        A, [B, C] = next(iter(dicts.items()))\n\n        numbers = [\n            site.wp.multiplicity for site in self.atom_sites if site.specie == A]\n        solutions = split_list_by_ratio(numbers, ratio)\n\n        # Output all possible substitutions\n        xtals = []\n        for group1, _group2 in solutions:\n            xtal0 = self.copy()\n            count = 0\n            for site in xtal0.atom_sites:\n                if site.specie == A:\n                    if count in group1:\n                        site.specie = B\n                    else:\n                        site.specie = C\n                    count += 1\n            xtal0.species = None\n            xtal0._get_formula()  # update species\n\n            # Check if composition matches desired ratio\n            comp = xtal0.numIons\n            total = sum(comp)\n            actual_ratio = [c/total for c in comp]\n            target_ratio = [r/sum(ratio) for r in ratio]\n\n            # Allow small deviation (0.01) from target ratio\n            if all(abs(a - t) < 0.01 for a, t in zip(actual_ratio, target_ratio)):\n                xtals.append(xtal0)\n\n        return xtals\n\n        # idx, sites, t_types, k_types = self._get_subgroup_ids(H, group_type, None, max_cell, min_cell)\n        # elements = [site.species for site in self.atom_sites]\n\n        # valid_splitters = []\n        # for id in idx:\n        #    gtype = (t_types + k_types)[id]\n        #    if gtype == 'k': id -= len(t_types)\n        #    splitter = wyckoff_split(G=self.group, wp1=sites, idx=id, gtype, elements)\n        #    # QZ: check if there is a redundancy in error and valid_split\n        #    if not splitter.error and splitter.valid_split:\n        #        for key in dicts.keys():\n        #            # check whether the splitter can make valid decomposition\n        #            # e.g., if we want to make a BN from C\n        #            # The splitter from 8 to 4+4 is valid\n        #            # The splitter from 8 to 6+2 is invalid\n        #            numbers = []\n        #            for i, wp2 in enumerate(splitter.wp2_lists):\n        #                if sp.elements[i] == key:\n        #                    for _wp2 in wp2:\n        #                        numbers.append(_wp2.multiplicity)\n        #            if not get_integer_solutions(numbers, ratio, quick=True):\n        #                bad_splitter = True\n        #                break\n        #        if bad_splitter:\n        #            continue\n        #        else:\n        #            valid_splitters.append(splitter)\n\n        # new_strucs = []\n        # for splitter in valid_splitters:\n        #    #print(splitter)\n        #    new_struc = self._apply_substitution(splitter, perms)\n        #    new_strucs.append(new_struc)\n        # return new_strucs\n\n    def substitute(self, dicts):\n        \"\"\"\n        Substitute atoms of one element with another element.\n\n        Args:\n            dicts (dict): Dictionary mapping original elements to substituted elements.\n\n        Example\n        --------\n        >>> struc = pyxtal()\n        >>> struc.from_prototype(\"rocksalt\")\n        >>> struc.substitute({\"Cl\": \"F\"})\n\n        \"\"\"\n        pmg = self.to_pymatgen()\n        pmg.replace_species(dicts)\n        self.from_seed(pmg)\n\n    def remove_species(self, species):\n        \"\"\"\n        To remove the atom_sites by specie name\n        Args:\n            dicts: e.g., [\"O\"]\n        \"\"\"\n        numIons = []\n        new_species = []\n        sites = []\n        count = 0\n        for site in self.atom_sites:\n            sp = site.specie\n            if sp not in species:\n                num = site.wp.multiplicity\n                sites.append(site)\n                if sp in new_species:\n                    id = new_species.index(sp)\n                    numIons[id] += num\n                else:\n                    new_species.append(sp)\n                    numIons.append(num)\n            count += num\n        struc = self.copy()\n        struc.atom_sites = sites\n        struc.numIons = numIons\n        struc.species = new_species\n        struc.resort()\n        return struc\n\n    def substitute_linear(self, dicts):\n        \"\"\"\n        Linear substitution between a single atom and a linear block.\n        For example, substituting SiO2 with Zn(CN)2.\n\n        Args:\n            dicts (dict): Dictionary mapping original atoms to substituted atoms.\n            For example: {\"Si\": [\"Zn\"], \"O\": [\"C\", \"N\"]}\n        \"\"\"\n        from ase.neighborlist import neighbor_list\n\n        if not hasattr(self, \"cutoff\"):\n            self.set_cutoff()\n            cutoff = self.cutoff\n\n        atoms = self.to_ase(resort=False)\n        (id1, id2, shifts) = neighbor_list(\"ijS\", atoms, cutoff)\n\n        self.lattice = self.lattice.scale(1.5)\n        matrix = self.lattice.matrix\n        numIons = []\n        species = []\n        sites = []\n        count = 0\n        for site in self.atom_sites:\n            sp = site.specie\n            if sp in dicts:\n                if len(dicts[sp]) == 1:\n                    e = dicts[sp][0]\n                    sites.append(site.substitute_with_single(e))\n                    if e in species:\n                        id = species.index(e)\n                        numIons[id] += site.wp.multiplicity\n                    else:\n                        species.append(e)\n                        numIons.append(site.wp.multiplicity)\n                else:\n                    eles = dicts[sp]\n                    ids = id2[id1 == count]  # index of ids\n                    neighbors = atoms.positions[ids] + \\\n                        shifts[id1 == count].dot(atoms.cell)\n                    direction = neighbors[1] - neighbors[0]\n                    direction /= np.linalg.norm(direction)\n                    s1, s2 = site.substitute_with_linear(\n                        eles, direction, matrix)\n                    for e in eles:\n                        if e in species:\n                            id = species.index(e)\n                            numIons[id] += site.wp.multiplicity\n                        else:\n                            species.append(e)\n                            numIons.append(site.wp.multiplicity)\n                    sites.append(s1)\n                    sites.append(s2)\n            else:\n                sites.append(site)\n            count += site.wp.multiplicity\n\n        struc = self.copy()\n        struc.atom_sites = sites\n        struc.numIons = numIons\n        struc.species = species\n        struc.resort()\n        return struc\n\n    def remove_water(self):\n        \"\"\"\n        Remove water from hydrates\n        \"\"\"\n        molecules = []\n        numMols = []\n        sites = []\n        for i, m in enumerate(self.molecules):\n            symbols = deepcopy(m.symbols)\n            symbols.sort()\n            if len(symbols) != 3 and symbols != [\"H\", \"H\", \"O\"]:\n                molecules.append(m)\n                numMols.append(self.numMols[i])\n\n        for site in self.mol_sites:\n            symbols1 = site.molecule.symbols\n            for i, m in enumerate(molecules):\n                symbols2 = m.symbols\n                if len(symbols1) == len(symbols2) and symbols1 == symbols2:\n                    site.type = i\n                    sites.append(site)\n                    # print(\"add sites\", i, m)\n                    break\n\n        self.molecules = molecules\n        self.numMols = numMols\n        self.mol_sites = sites\n\n    def substitute_molecules(self, smiles):\n        \"\"\"\n        Substitute the molecules in the structure with new molecules based on SMILES strings.\n\n        Args:\n            smiles (list): List of SMILES strings for the new molecules.\n        \"\"\"\n        if not self.molecular:\n            raise ValueError(\"Cannot substitute molecules for non-molecular structures\")\n\n        if len(self.molecules) != len(smiles):\n            raise ValueError(\"Number of SMILES must match number of molecules in the structure\")\n\n        #rep = self.get_1D_representation()\n        #rep.\n        #rep1 = representation(x, smiles)\n\n    def set_cutoff(self, exclude_ii=False, value=None):\n        \"\"\"\n        get the cutoff dictionary\n\n        Args:\n            exclude_ii (bool): whether or not exclude A-A distance\n            value (float): cutoff distance\n        \"\"\"\n        cutoff = {}\n        tm = Tol_matrix(prototype=\"molecular\")\n        for i in range(len(self.species)):\n            s1 = self.species[i]\n            for j in range(i, len(self.species)):\n                s2 = self.species[j]\n                select = True\n                if exclude_ii and s1 == s2:\n                    select = False\n                if select:\n                    tuple_elements = (s1, s2)\n                    if value is None:\n                        cutoff[tuple_elements] = tm.get_tol(s1, s2)\n                    else:\n                        cutoff[tuple_elements] = value\n\n        self.cutoff = cutoff\n\n    def set_site_coordination(self, cutoff=None, verbose=False, exclude_ii=False):\n        \"\"\"\n        Compute the coordination number from each atomic site\n        \"\"\"\n        from ase.neighborlist import neighbor_list\n\n        # if not hasattr(self, 'cutoff'):\n        self.set_cutoff(exclude_ii, cutoff)\n        my_cutoff = self.cutoff\n\n        if verbose:\n            print(\"\\n The cutoff values for CN calculation are\")\n            print(my_cutoff)\n\n        atoms = self.to_ase(resort=False)\n        NL = neighbor_list(\"i\", atoms, my_cutoff)\n        coords = np.bincount(NL)\n\n        count = 0\n        for site in self.atom_sites:\n            if count >= len(coords):\n                site.coordination = 0\n            else:\n                site.coordination = coords[count]\n            count += site.multiplicity\n\n    def get_dimensionality(self, cutoff=None):\n        \"\"\"\n        A quick wrapper to compute dimensionality from pymatgen\n        https://pymatgen.org/pymatgen.analysis.dimensionality.html\n        The dimensionality of the structure can be 1/2/3\n        \"\"\"\n        from pymatgen.analysis.dimensionality import get_dimensionality_gorai\n\n        if cutoff is None:\n            if not hasattr(self, \"cutoff\"):\n                self.set_cutoff()\n            cutoff = self.cutoff\n\n        return get_dimensionality_gorai(self.to_pymatgen(), bonds=cutoff)\n\n    def from_CSD(self, csd_code):\n        \"\"\"\n        Download the crystal from CCDC\n        if csd_code is given, return the single pyxtal object\n        if csd_family is given, do group analysis and ignore high pressure form\n\n        Args:\n            csd_code: e.g., ``ACSALA01``\n\n        \"\"\"\n        from pymatgen.core.periodic_table import Element\n        from pymatgen.io.cif import CifParser\n\n        from pyxtal.msg import CSDError, ReadSeedError\n        from pyxtal.util import get_struc_from__parser, process_csd_cif\n\n        try:\n            from ccdc import io\n        except:\n            msg = \"No CSD-python api is available\"\n            raise CSDError(msg)\n        try:\n            from rdkit import Chem\n        except:\n            msg = \"No rdkit is available\"\n            raise CSDError(msg)\n\n        try:\n            entry = io.EntryReader(\"CSD\").entry(csd_code)\n        except:\n            msg = \"Unknown CSD entry: \" + csd_code\n            raise CSDError(msg)\n\n        if entry.has_3d_structure:\n            smi = entry.molecule.smiles\n            if smi is None:\n                raise CSDError(\"No smile from CSD\")\n\n            if len(smi) > 350:\n                raise CSDError(f\"long smile {smi:s}\")\n            if Chem.MolFromSmiles(smi) is None:\n                raise CSDError(f\"problematic smiles: {smi:s}\")\n\n            cif = entry.to_string(format=\"cif\")\n            smiles = [s + \".smi\" for s in smi.split(\".\")]\n\n            # remove duplicates\n            smiles = list(set(smiles))\n            smi1 = \"\"\n            for i, s in enumerate(smiles):\n                smi1 += s[:-4]\n                if i + 1 < len(smiles):\n                    smi1 += \".\"\n\n            self.tag = {\n                \"smiles\": smi1,\n                \"csd_code\": csd_code,\n                \"ccdc_number\": entry.ccdc_number,\n                # 'publication': entry.publication,\n            }\n\n            cif = process_csd_cif(cif)  # , remove_H=True)\n            # print(cif)\n            try:\n                parser = CifParser.from_str(cif, occupancy_tolerance=2.0)\n                pmg = get_struc_from__parser(parser)\n                # pmg = Structure.from_str(cif, fmt='cif')\n            except:\n                print(cif)\n                msg = \"Problem in parsing CSD cif\"\n                raise CSDError(msg)\n\n            organic = True\n            for ele in pmg.composition.elements:\n                if ele.symbol == \"D\":\n                    pmg.replace_species({ele: Element(\"H\")})\n                elif ele.value not in \"C Si H O N S F Cl Br I P\".split(\" \"):\n                    organic = False\n                    break\n\n            if not organic:\n                msg = \"Cannot handle the organometallic entry from CSD: \"\n                msg += entry.formula\n                raise CSDError(msg)\n            try:\n                self.from_seed(pmg, smiles)\n            except ReadSeedError:\n                try:\n                    # print(\"Add_H=============================================\")\n                    self.from_seed(pmg, smiles, add_H=True)\n                except:\n                    msg = f\"unknown problems in Reading CSD {csd_code:s} {smi:s}\"\n                    raise CSDError(msg)\n            except:\n                msg = f\"unknown problems in Reading CSD {csd_code:s} {smi:s}\"\n                raise CSDError(msg)\n            self.source = \"CSD: \" + csd_code\n        else:\n            msg = csd_code + \" does not have 3D structure\"\n            raise CSDError(msg)\n\n        # check if the dumped cif is correct\n        cif0 = self.to_file()\n        try:\n            Structure.from_str(cif0, fmt=\"cif\")\n        except:\n            print(cif0)\n            raise CSDError(\"Cif Error\")\n            # import sys; sys.exit()\n        # ====================\n\n        # check if the structure is consistent with the origin\n        # pmg0 = self.to_pymatgen() #shape='lower')\n        # if remove_H:\n        #    print(\"REMOVE H\")\n        #    pmg.remove_species('H')\n        #    pmg0.remove_species('H')\n        # import pymatgen.analysis.structure_matcher as sm\n        # if not sm.StructureMatcher().fit(pmg0, pmg):\n        #    pmg = Structure.from_str(cif, fmt='cif')\n        #    #pmg0 = Structure.from_str(self.to_file(), fmt='cif')\n        #    pmg0 = Structure.from_str(pmg0.to(fmt='cif'), fmt='cif')\n        #    print(cif)\n        #    print(self)\n        #    print(pmg0)\n        #    pmg0.remove_species('H'); pmg0.remove_species('O')\n        #    pmg.remove_species('H'); pmg.remove_species('O')\n        #    #print(pmg0.to(fmt='cif'))\n        #    print(sm.StructureMatcher().fit(pmg0, pmg))\n        #    print(pmg) #reference\n        #    print(pmg0) #pyxtal\n        #    #print(cif)\n        #    #print(self.to_file())\n        #    print(\"Wrong\", csd_code); import sys; sys.exit()\n\n\n    def get_structure_factor(self, hkl, coeffs=None):\n        \"\"\"\n        Compute the structure factor for a given hkl plane\n\n        Args:\n            - hkl: three indices hkl plane\n            - coeffs (N lengths): Atomic scatering factors\n        \"\"\"\n        coords, species = self._get_coords_and_species()\n        g_dot_rs = np.dot(coords, np.array(hkl))\n        F = np.exp(-2 * np.pi * (1j) * g_dot_rs)\n        if coeffs is not None:\n            F *= coeffs\n        return F.sum()\n\n    def to_molecular_xtal(self, molecules, oris=None, reflects=None):\n        \"\"\"\n        Convert the atomic xtal to molecular xtal\n        the input molecules must have the same length of the self.atom_sites\n        \"\"\"\n        if not self.molecular:\n            xtal = pyxtal(molecular=True)\n            # updates mol_sites\n            sites = []\n            for i, site in enumerate(self.atom_sites):\n                ori = [0, 0, 0] if oris is None else oris[i]\n                reflect = False if reflects is None else reflects[i]\n                sites.append(site.to_mol_site(\n                    self.lattice, molecules[i], ori=ori, reflect=reflect))\n            xtal.lattice = self.lattice\n            xtal.group = self.group\n            xtal.mol_sites = sites\n            xtal.numMols = [sum([wp.multiplicity for wp in self.atom_sites])]\n            xtal._get_formula()\n            xtal.valid = True\n            xtal.source = \"Center\"\n            return xtal\n        else:\n            raise RuntimeError(\"The input must be molecular xtal\")\n\n    def to_atomic_xtal(self):\n        \"\"\"\n        Convert the molecular\n        \"\"\"\n        if self.molecular:\n            xtal = pyxtal()\n            sites = []\n            for i, site in enumerate(self.mol_sites):\n                sites.append(site.to_atom_site(i + 1))\n            xtal.lattice = self.lattice\n            xtal.group = self.group\n            xtal.atom_sites = sites\n            xtal._get_formula()\n            xtal.valid = True\n            xtal.source = \"Mol. Center\"\n            return xtal\n        else:\n            raise RuntimeError(\"The input must be molecular xtal\")\n\n    def get_forcefield(self, ff_style=\"openff\", code=\"lammps\", chargemethod=\"am1bcc\", parameters=None):\n        \"\"\"\n        An interface to create forcefield for molecular simulation with\n        - Charmm\n        - LAMMPS\n        Note that the current approach generates charge with its own conformer,\n        need to provide the option to use the conformer from the given molecule\n\n        Args:\n            - ff_style: ``gaff`` or ``openff``\n            - code: ``lammps`` or ``charmm``\n            - charge_method: ``am1bcc``, ``am1-mulliken``, ``mmff94``, ``gasteiger``\n            - parameters: 1D-array of user-specified FF parameters\n\n        Returns:\n            An ase_atoms_objects with force field information\n        \"\"\"\n        from pyocse.charmm import CHARMMStructure\n        from pyocse.forcefield import forcefield\n        from pyocse.interfaces.parmed import ParmEdStructure\n        from pyocse.lmp import LAMMPSStructure\n\n        if self.molecular:\n            smiles = [mol.smile for mol in self.molecules]\n            assert smiles[0] is not None\n\n            # Lammps needs the xyz for all molecules\n            if code == \"lammps\":\n                # reset lammps cell\n                from pyxtal.util import reset_lammps_cell\n\n                atoms = self.to_ase(resort=False)\n                atoms = reset_lammps_cell(atoms)\n                converter = LAMMPSStructure\n                n_mols = self.numMols\n\n            # Charmm only needs the xyz for the asymmetric unit\n            else:\n                converter = CHARMMStructure\n                coords, species = [], []\n                checked = []\n                for site in self.mol_sites:\n                    if site.type not in checked:\n                        _coords, _species = site._get_coords_and_species(\n                            absolute=True, first=True)\n                        coords.extend(_coords)\n                        species.extend(_species)\n                        checked.append(site.type)\n                n_mols = [1] * len(self.molecules)\n                atoms = Atoms(symbols=species, positions=coords)\n\n            # print(len(atoms), n_mols)\n            # Initialize the forcefield instance from pyocse\n            ff = forcefield(smiles, style=ff_style, chargemethod=chargemethod)\n\n            # update the parameters from the user\n            if parameters is not None:\n                ff.update_parameters(parameters)\n\n            # Create the Parmed to handle FF parameters\n            if sum(n_mols) == 1:\n                pd_struc = ff.molecules[0].copy(cls=ParmEdStructure)\n            else:\n                from functools import reduce\n                from operator import add\n\n                mols = []\n                for i, m in enumerate(n_mols):\n                    mols += [ff.molecules[i] * m]\n                pd_struc = reduce(add, mols)\n            pd_struc.update(atoms)\n\n            ase_with_ff = converter.from_structure(pd_struc)\n            if code == \"lammps\":\n                print(\"\\n Write lmp.in and lmp.dat ......\")\n                ase_with_ff.write_lammps()\n            else:\n                print(\"\\n Write charmm.rtf and charmm.prm ......\")\n                ase_with_ff.write_charmmfiles()\n                # ase_with_ff.write_charmmfiles_by_parmd()\n\n            return ase_with_ff\n        else:\n            raise NotImplementedError(\"\\nNo support for atomic crystals\")\n\n    def update_from_1d_rep(self, x):\n        \"\"\"\n        Update the crystal from a 1D representation.\n\n        The 1D representation combines lattice parameters and atomic coordinates into a\n        single array. For example:\n\n        >>> Group I 41/a m d:2 (141)\n        Lattice: 2.5019, 2.5019, 8.7534, 90.0000, 90.0000, 90.0000\n        Site: C @ [0.0000 0.2500 0.4614], WP [8e], Site [2mm.]\n        Would be represented as: [2.5019, 8.7514, 0.4614]\n\n        Args:\n            x (numpy.ndarray): 1D array containing lattice parameters and atomic coordinates\n        \"\"\"\n        N = self.lattice.dof\n        cell, pos = x[:N], x[N:]\n\n        try:\n            # update cell\n            self.lattice.update_from_1d_representation(cell)\n        except:\n            self.lattice = None\n            return\n        #l_type = self.lattice.ltype\n        #self.lattice = Lattice.from_1d_representation(cell, l_type)\n        # print(\"lattice dof\", N, cell, l_type, self.lattice)\n\n        # update position\n        start = 0\n        for site in self.atom_sites:\n            end = start + site.wp.get_dof()\n            xyz = site.wp.get_position_from_free_xyzs(pos[start:end])\n            site.update(xyz)\n            start = end\n        # xtal.to_ase().write('init.vasp', vasp5=True, format='vasp', direct=True)\n\n    def get_1d_rep_x(self):\n        \"\"\"\n        Get a simplified x representation for a crystal\n\n        Example:\n            >>> Group: I 41/a m d:2 (141)\n            2.5019,   2.5019,   8.7534,  90.0000,  90.0000,  90.0000, tetragonal\n            Wyckoff sites:\n            C @ [ 0.0000  0.2500  0.4614], WP [8e] Site [2mm.]\n            The above rep would be: [2.5019, 8.7514, 0.4614]\n        \"\"\"\n\n        rep = self.get_1D_representation(standard=True)\n        cell, xyzs = rep.x[0][1:], rep.x[1:]\n        x = cell\n        for xyz in xyzs:\n            if len(xyz) > 2:\n                x = np.hstack((x, xyz[2:]))\n        return x\n\n    def from_spg_wps_rep(self, spg, wps, x, elements=None):\n        \"\"\"\n        Build a pyxtal structure from Wyckoff positions and compact 1D representation.\n\n        Args:\n            spg (int): Space group number (1-230)\n            wps (list): List of Wyckoff position strings (e.g. ['6a', '6a'])\n            x (array): 1D array containing lattice parameters and coordinates\n            elements (list, optional): List of element symbols. Defaults to [\"C\"]*len(wps)\n\n        Example:\n            >>> xtal = pyxtal()\n            >>> xtal.from_spg_wps_rep(141, ['6a', '6a'], [2.5019, 8.7514, 0.4614])\n            >>> xtal\n            ------Crystal from Build------\n            Dimension: 3\n            Composition: C8\n            Group: I 41/a m d:2 (141)\n            2.5019,   2.5019,   8.7514,  90.0000,  90.0000,  90.0000, tetragonal\n            Wyckoff sites:\n\t        C @ [ 0.0000  0.7500  0.1250], WP [4a] Site [-4m2]\n\t        C @ [ 0.0000  0.7500  0.1250], WP [4a] Site [-4m2]\n        \"\"\"\n        if elements is None:\n            elements = [\"C\"] * len(wps)\n        group = Group(spg)\n        sites = []\n        for i, _wp in enumerate(wps):\n            if type(_wp) is int:\n                sites.append((elements[i], group[_wp]))\n            else:\n                letter = _wp[-1]\n                for wp in group:\n                    if wp.letter == letter:\n                        sites.append((elements[i], wp))\n                        break\n        self.from_1d_rep(x, sites)\n\n    def from_1d_rep(self, x, sites, dim=3):\n        \"\"\"\n        Build a pyxtal structure from a 1D representation and sites list.\n\n        Args:\n            x (array): 1D array containing lattice parameters and coordinates\n            sites (list): List of (element, wyckoff_position) tuples\n            dim (int): Dimensionality of the crystal (default: 3)\n\n        Example:\n            >>> from pyxtal.symmetry import Wyckoff_position\n            >>> xtal = pyxtal()\n            >>> x = [2.5, 8.75] # Lattice params and coords\n            >>> wp = Wyckoff_position.from_group_and_letter(141, 'a')\n            >>> sites = [(\"C\", wp), (\"C\", wp)] # [C, 4a], [C, 4a]\n            >>> xtal.from_1d_rep(, sites=[(\"C\", wp), (\"C\", wp)])\n        \"\"\"\n        l_type = sites[0][1].lattice_type\n        N = sum(Lattice.get_dofs(l_type))\n        cell, pos = x[:N], x[N:]\n        lat = Lattice.from_1d_representation(cell, l_type)\n\n        species, numIons = [], []\n        total_sites = []\n\n        start = 0\n        for site in sites:\n            (specie, _wp) = site\n            end = start + _wp.get_dof()\n            xyz = pos[start:end]\n            full_xyz = _wp.get_position_from_free_xyzs(xyz)\n            [x, y, z] = full_xyz\n            start = end\n            label = _wp.get_label()\n            if specie not in species:\n                species.append(specie)\n                numIons.append(_wp.multiplicity)\n                total_sites.append([(label, x, y, z)])\n            else:\n                idx = species.index(specie)\n                numIons[idx] += _wp.multiplicity\n                total_sites[idx].append((label, x, y, z))\n        # print(species, numIons,  total_sites)\n\n        spg = sites[0][1].number\n        try:\n            self.build(spg, species, numIons, lat, total_sites, dim=dim)\n        except:\n            print(\"input x\", x)\n            print(\"input build\", spg, numIons, lat, total_sites)\n            raise ValueError(\"Problem in build\")\n\n    def check_validity(self, criteria, verbose=False):\n        \"\"\"\n        Check if the xtal is valid for a given list of criteria.\n        Currently support the following keywords\n        - MIN_Density (float)\n        - CN: coordination number (int)\n        - Dimension: (int)\n\n        Args:\n            criteria (dict): keywords and the threshhold values\n            verbose (bool): whether or not print out details\n\n        Return:\n            bool value regarding the validity\n        \"\"\"\n\n        if len(criteria.keys()) == 0:\n            return True\n\n        if \"exclude_ii\" not in criteria:\n            criteria[\"exclude_ii\"] = False\n\n        if \"MIN_Density\" in criteria:\n            den1 = self.get_density()\n            den2 = criteria[\"MIN_Density\"]\n            if den1 < den2:\n                if verbose:\n                    msg = f\"===Invalid in MIN_density {den1:.2f}=>{den2:.2f}\"\n                    print(msg)\n                return False\n        if \"CN\" in criteria:\n            options = [True, False] if criteria[\"exclude_ii\"] else [False]\n\n            coords = []\n            for option in options:\n                try:\n                    self.set_site_coordination(\n                        criteria[\"cutoff\"], exclude_ii=option)\n                    # print('exclude_ii', option, criteria['cutoff'], self)\n                except:\n                    if verbose:\n                        print(\"=====Invalid in CN calculation\")\n                    return False\n                coord = []\n                for s in self.atom_sites:\n                    ele = s.specie\n                    cn1 = s.coordination\n                    cn2 = criteria[\"CN\"][ele]\n                    # print(ele, cn1, option)\n                    if cn1 not in cn2:\n                        if verbose:\n                            strs = f\"=====Invalid CN {ele:s} [{cn1:d}=>{cn2[0]:d}]\"\n                            strs += \", exclude ii: \" + str(option)\n                            print(strs)\n                        return False\n                    coord.append(cn1)\n                coords.append(coord)\n            if len(coords) == 2 and coords[0] != coords[1]:\n                return False\n\n        if \"Dimension\" in criteria:\n            try:\n                # TODO: unclear what is the criteria_cutoff\n                dim1 = self.get_dimensionality(criteria['cutoff'])\n            except:\n                dim1 = 3\n            dim2 = criteria[\"Dimension\"]\n            if dim1 != dim2:\n                if verbose:\n                    print(f\"=====Invalid in Dimension {dim1:d}=>{dim2:d}\")\n                return False\n\n        return True\n\n    def get_xtal_string(self, dicts=None, header=None):\n        \"\"\"\n        Get a string representation of the crystal structure.\n\n        Args:\n            dicts (dict, optional): Dictionary containing additional properties like\n                similarity, energy, status etc\n            header (str, optional): Additional header text to prepend\n\n        Returns:\n            str: Formatted string containing crystal information including:\n                - Number of atoms\n                - Degrees of freedom\n                - Space group number and symbol\n                - Density\n                - Additional properties from dicts\n                - Wyckoff positions\n        \"\"\"\n        spg_num, spg_symbol = self.group.number, self.group.symbol\n        density = self.get_density()\n        dof = self.get_dof()\n        N_atoms = sum(self.numIons)\n        strs = header if header is not None else \"\"\n        strs += f\"*{N_atoms:3d} {dof:3d} {spg_num:4d} {spg_symbol:10s} {density:8.2f} \"\n\n        if dicts is not None:\n            # Similarity, energy, status\n            for key in dicts:\n                value = dicts[key]\n                if isinstance(value, (float, np.float64)):\n                    strs += f\" {value:8.3f} \"\n                elif isinstance(value, str):\n                    strs += f\" {value:24s} \"\n                elif isinstance(value, bool):\n                    strs += f\" {value!s:5s} \"\n\n        for s in self.atom_sites:\n            strs += f\"{s.wp.get_label():s} \"\n        return strs\n\n    def get_tabular_representations(\n        self,\n        N_max=200,\n        N_wp=8,\n        normalize=False,\n        perturb=False,\n        eps=0.05,\n        discrete=False,\n        discrete_cell=False,\n        N_grids=50,\n    ):\n        \"\"\"\n        Enumerate the equivalent representations for a give crystal.\n        For example, 8a in space group 227 has 8 equivalent positions\n\n        Args:\n            N_max (int): the max number of samples from the enumeration\n            N_wp (int): the maximum number of allowed WP sites\n            normalize (bool): normalize all number to (0, 1)\n            perturb (bool): whether or not perturb the variables\n            eps (float): the degree of perturbation\n            discrete (bool): to discretize xyz\n            N_grids (int): number of grids used for discretization\n\n        Returns:\n            a list of equivalent 1D tabular representations\n        \"\"\"\n        reps = []\n\n        # To prevent the explosion of big multiplicity number\n        if len(self.atom_sites) <= 1:\n            min_wp = 192\n        elif len(self.atom_sites) <= 2:\n            min_wp = 100\n        elif len(self.atom_sites) <= 4:\n            min_wp = 20\n        else:\n            min_wp = int(np.power(100000.0, 1 / len(self.atom_sites)))\n\n        sites_mul = [range(min([min_wp, site.wp.multiplicity]))\n                     for site in self.atom_sites]\n        ids = list(itertools.product(*sites_mul))\n        if len(ids) > N_max:\n            ids = self.random_state.choice(ids, N_max)\n\n        #print(f\"N_reps {len(ids)}/{N_max}: \", self.get_xtal_string())\n        for sites_id in ids:\n            rep = self.get_tabular_representation(\n                    sites_id, normalize, N_wp, perturb,\n                    eps=eps,\n                    standardize=False,\n                    discrete=discrete,\n                    discrete_cell=discrete_cell,\n                    N_grids=N_grids)\n            reps.append(rep)\n        return reps\n\n    def get_tabular_representation(\n        self,\n        ids=None,\n        normalize=False,\n        N_wp=6,\n        perturb=False,\n        max_abc=50.0,\n        max_angle=np.pi,\n        eps=0.05,\n        standardize=True,\n        discrete=False,\n        discrete_cell=False,\n        N_grids=50,\n    ):\n        \"\"\"\n        Convert the xtal to a 1D reprsentation organized as\n        ``(space_group_number, a, b, c, alpha, beta, gamma, wp1, wp2, ....)``,\n        where each wp is represented by 4 numbers ``(wp_id, x, y, z)``.\n\n        Args:\n            ids (list): index of generators for each wp\n            normalize (bool): whether or not normalize the data to (0, 1)\n            N_wp (int): number of maximum wp sites\n            perturb (bool): whether or not perturb the variables\n            max_abc (float): maximum abc length for normalization\n            max_angle (float): maximum angle in radian for normalization\n            eps (float): the degree of perturbation\n            discrete (bool): to discretize xyz\n            discrete_cell (bool): to discretize cell_para\n            N_grids (int): number of grids used for discretization\n\n        Returns:\n            a 1D vector such as (141, 3, 3, 3, pi/2, pi/2, pi/2, wp_id, x, y, z)\n        \"\"\"\n\n        if ids is None:\n            ids = [0] * len(self.atom_sites)\n        else:\n            assert len(ids) == len(self.atom_sites)\n\n        if len(ids) > N_wp:\n            raise ValueError(\n                \"Cannot handle too many atom sites\", len(ids), N_wp)\n\n        N_cell, N_site = 7, N_wp * 4\n\n        # If the number of wp is less then 6, assign -1\n        rep = -np.ones(N_cell + N_site)  # 7 + 6 + 18 = 31\n        rep[0] = self.group.number\n        lattice = self.lattice.copy()\n        if perturb:\n            lattice = lattice.mutate(degree=eps)\n        rep[1:7] = lattice.get_para()\n\n        if normalize:\n            rep[0] /= 230\n            rep[1:4] /= max_abc\n            rep[4:7] /= max_angle\n\n        if discrete_cell:\n            rep[1:4] = np.round(rep[1:4] / max_abc * N_grids)\n            rep[4:7] = np.round(rep[4:7] / max_angle * N_grids)\n\n        count = N_cell\n\n        # Convert WP site\n        for id, site in zip(ids, self.atom_sites):\n            # Get the index\n            rep[count] = site.wp.index\n            if normalize:\n                rep[count] /= len(self.group)\n\n            # Convert xyz\n            xyz = site.coords[id]  # position\n            xyz -= np.floor(xyz)\n\n            if discrete:\n                xyz = site.wp.to_discrete_grid(xyz, N_grids)\n            else:\n                if standardize:\n                    free_xyzs = site.wp.get_free_xyzs(\n                        xyz, perturb=perturb, eps=eps)\n                    xyz = site.wp.get_position_from_free_xyzs(free_xyzs)\n            rep[count + 1: count + 4] = xyz\n            count += 4\n        return rep\n\n    def from_tabular_representation(\n        self,\n        rep,\n        max_abc=50.0,\n        max_angle=180,\n        normalize=False,\n        tol=0.1,\n        discrete=False,\n        discrete_cell=False,\n        N_grids=50,\n        verbose=False,\n    ):\n        \"\"\"\n        Reconstruct crystal from 1D tabular representation.\n        Currently assumes elemental composition like carbon.\n\n        Args:\n            rep (array): 1D array containing the tabular representation\n            max_abc (float): Maximum lattice vector length for normalization\n            max_angle (float): Maximum angle in degrees for normalization\n            normalize (bool): Whether to normalize values between 0-1\n            tol (float): Tolerance for Wyckoff position assignment\n            discrete (bool): Whether to discretize atomic coordinates\n            discrete_cell (bool): Whether to discretize cell parameters\n            N_grids (int): Number of grid points for discretization\n            verbose (bool): Whether to print detailed error messages\n\n        Note:\n            For discrete coordinates, values are mapped onto integer grid indices.\n            For normalized coordinates, values are scaled between 0 and 1.\n        \"\"\"\n        if not discrete: tol=0.01\n        number = int(np.round(rep[0] * 230)) if normalize else int(rep[0])\n        if 1 <= number <= 230:\n            group = Group(number)\n            [a, b, c, alpha, beta, gamma] = rep[1:7]\n            if normalize:\n                a, b, c = a * max_abc, b * max_abc, c * max_abc\n                alpha, beta, gamma = (\n                    alpha * max_angle,\n                    beta * max_angle,\n                    gamma * max_angle,\n                )\n            else:\n                if discrete_cell:\n                    a = a / N_grids *  max_abc\n                    b = b / N_grids *  max_abc\n                    c = c / N_grids *  max_abc\n                    alpha = alpha / N_grids * max_angle\n                    beta = beta / N_grids * max_angle\n                    gamma = gamma / N_grids * max_angle\n                    #print(a, b, c, alpha, beta, gamma)\n                else:\n                    alpha, beta, gamma = (\n                        np.degrees(alpha),\n                        np.degrees(beta),\n                        np.degrees(gamma),\n                    )\n            try:\n                lattice = Lattice.from_para(\n                    a,\n                    b,\n                    c,\n                    alpha,\n                    beta,\n                    gamma,\n                    ltype=group.lattice_type,\n                    force_symmetry=True,\n                )\n            except ValueError:\n                print('Input lattice from rep is incorrect',\n                      number, a, b, c, alpha, beta, gamma)\n                self.valid = False\n                return None\n\n            # Convert WP site\n            sites_info = np.reshape(rep[7:], (int((len(rep) - 7) / 4), 4))\n            sites = []\n            numIons = 0\n            for site_info in sites_info:\n                [id, x, y, z] = site_info\n                # exclude data containing negative values\n                if verbose:\n                    print(\"site_info\", site_info)\n\n                if min(site_info) > -0.01:\n                    wp_id = int(np.round(len(group) * id)\n                                ) if normalize else int(id)\n                    if wp_id >= len(group):\n                        wp_id = -1\n                    wp = group[wp_id]\n\n                    # Conversion from discrete to continuous\n                    if discrete:\n                        #print('discrete', x, y, z)\n                        [x, y, z] = wp.from_discrete_grid([x, y, z], N_grids)\n                        #print('conversion', x, y, z)\n\n                    # ; print(wp.get_label(), xyz)\n                    xyz = wp.search_generator([x, y, z], tol=tol, symmetrize=True)\n                    if xyz is not None:\n                        #xyz, wp, _ = wp.merge(xyz, np.eye(3), 1e-3)\n                        label = wp.get_label()\n                        #print('after merge', x, y, z, label, xyz[0], xyz[1], xyz[2])\n                        sites.append((label, xyz[0], xyz[1], xyz[2]))\n                        numIons += wp.multiplicity\n                        if verbose:\n                            print('add wp', label, xyz)\n                    else:\n                        if verbose:\n                            print(\"Cannot get wp in\", x, y, z, wp.get_label())\n\n            if len(sites) > 0:\n                try:\n                    # print(sites)\n                    self.build(group, [\"C\"], [numIons], lattice, [sites])\n                except:\n                    print(\"Invalid Build\", number, lattice, numIons, sites)\n                    self.valid = False\n            else:\n                if verbose:\n                    print(\"Empty sites in tabular_representation\", rep)\n                    print(\"parsed sites info\", sites_info)\n                self.valid = False\n        else:\n            if verbose:\n                print(\"The input space group is invalid\", rep[0])\n\n    def get_Pearson_Symbol(self):\n        \"\"\"\n        Implementation of the Pearson symbol system for crystallographic notation.\n        Based on https://en.wikipedia.org/wiki/Pearson_symbol, which is a notation that describes crystal structures using:\n            - First letter: crystal system (a, m, o, t, h, c)\n            - Second letter: centering type (P, I, F, etc.)\n            - Number: number of atoms per unit cell\n        \"\"\"\n        if self.group.number <= 2:\n            l = \"a\"\n        elif self.group.number <= 15:\n            l = \"m\"\n        elif self.group.number <= 74:\n            l = \"o\"\n        elif self.group.number <= 142:\n            l = \"t\"\n        elif self.group.number <= 194:\n            l = \"h\"\n        else:\n            l = \"c\"\n\n        b = \"S\" if self.group.symbol[0] in [\n            \"A\", \"B\", \"C\"] else self.group.symbol[0]\n\n        return l + b + str(sum(self.numIons))\n\n    def resymmetrize(self, tol=1e-3):\n        \"\"\"\n        Recheck the symmetry with a given tolerance value.\n        Useful to identify a higher space group symmetry.\n\n        Args:\n            tol (float): The tolerance value for symmetry finder\n\n        Returns:\n            pyxtal: A new pyxtal object with resymmetrized structure\n        \"\"\"\n\n        xtal0 = pyxtal()\n        xtal0.from_seed(self.to_pymatgen(), tol=tol)\n\n        return xtal0\n\n    def from_prototype(self, prototype):\n        \"\"\"\n        Load a template structure based on a prototype name for quick testing.\n\n        Args:\n            prototype (str): Name of the crystal prototypes to load, such as 'diamond', 'graphite', etc.\n\n                - 'diamond'\n                - 'graphite'\n                - 'a-cristobalite'\n                - 'b-cristobalite'\n                - 'a-quartz'\n                - 'b-quartz'\n                - 'rocksalt'\n                - 'B1'\n                - 'B2'\n\n        Example:\n            >>> xtal = pyxtal()\n            >>> xtal.from_prototype('diamond')  # Creates diamond structure\n            >>> xtal.from_prototype('graphite')  # Creates graphite structure\n\n        Note:\n            A convenient shortcut to generate common crystal structures by directly\n            specifying their space groups, Wyckoff positions, lattice parameters\n            and atomic species. The structures are created with standard settings.\n        \"\"\"\n\n        if prototype == 'graphite':\n            self.from_spg_wps_rep(194, ['2c', '2b'], [2.46, 6.70])\n\n        elif prototype == 'diamond':\n            self.from_spg_wps_rep(227, ['8a'], [3.567])\n\n        elif prototype == 'h-diamond':\n            self.from_spg_wps_rep(194,\n                                  ['4f'],\n                                  [2.50, 4.17, 0.0628])\n\n        elif prototype == 'a-cristobalite':\n            self.from_spg_wps_rep(92,\n                                  ['4a', '8b'],\n                                  [5.085, 7.099, 0.294, 0.094, 0.241, 0.826],\n                                  ['Si', 'O'])\n        elif prototype == 'b-cristobalite':\n            self.from_spg_wps_rep(227,\n                                  ['8a', '16c'],\n                                  [7.46086],\n                                  ['Si', 'O'])\n        elif prototype == 'a-quartz':\n            self.from_spg_wps_rep(152,\n                                  ['3a', '6c'],\n                                  [4.91, 5.43, 0.4689, 0.2692, 0.4134, 0.7849],\n                                  ['Si', 'O'])\n        elif prototype == 'b-quartz':\n            self.from_spg_wps_rep(181,\n                                  ['3c', '6j'],\n                                  [5.06, 5.54, 0.2086],\n                                  ['Si', 'O'])\n        elif prototype in ['rocksalt', 'B1']:\n            self.from_spg_wps_rep(225,\n                                  ['4a', '4b'],\n                                  [5.59],\n                                  ['Na', 'Cl'])\n        elif prototype in ['B2']:\n            self.from_spg_wps_rep(221,\n                                  ['1a', '1b'],\n                                  [5.59],\n                                  ['Cs', 'Cl'])\n        elif prototype in ['cBN']:\n            self.from_spg_wps_rep(216,\n                                  ['4a', '4d'],\n                                  [3.63],\n                                  ['B', 'N'])\n        elif prototype in ['olivine']:\n            self.from_spg_wps_rep(62,\n                                  ['4a', '4c', '4c', '8d', '4c', '4c'],\n                                  [10.18, 5.96, 4.75, 0.723, 0.992, 0.906, 0.426,\n                                   0.663, 0.532, 0.777, 0.554, 0.222, 0.909, 0.767],\n                                  ['Mg', 'Mg', 'Si', 'O', 'O', 'O'])\n        elif prototype in ['beta-Ga2O3']:\n            self.from_spg_wps_rep(12,\n                                  ['4i', '4i', '4i', '4i', '4i'],\n                                  [12.28, 3.04, 5.82, 103.8,\n                                   0.091, 0.795, 0.659, 0.315,\n                                   0.504, 0.743, 0.165, 0.109,\n                                   0.173, 0.563],\n                                  ['Ga', 'Ga', 'O', 'O', 'O'])\n        else:\n            raise ValueError(\"Cannot support the input prototype\", prototype)\n\n    def optimize_orientation_by_energy(self, max_iter=20, verbose=False):\n\n        for i, site in enumerate(self.mol_sites):\n            ms = [self.mol_sites[j] for j in range(len(self.mol_sites)) if j != i]\n            site.optimize_orientation_by_energy(wps=ms, verbose=verbose)\n\n    def get_orientation_energy(self):\n        eng = 0\n        for i, site in enumerate(self.mol_sites):\n            ms = [self.mol_sites[j] for j in range(i+1, len(self.mol_sites))]\n            eng += site.wp.multiplicity * site.get_energy(wps=ms)\n        return eng\n\n    def get_separations(self, hkls=[[1, 0, 0], [0, 1, 0], [0, 0, 1]]):\n        \"\"\"\n        Compute the separation for the given hkl plane\n        \"\"\"\n        separations = []\n        if self.molecular:\n            from pyxtal.plane import planes\n            p = planes()\n            p.set_xtal(self)\n            for hkl in hkls:\n                (_, _, sep) = p.get_separation(hkl)\n                separations.append(sep.max())\n\n        return np.array(separations)\n\n    def cut_lattice(self, max_separation=3.0, verbose=False):\n        \"\"\"\n        An utility to reduce the empty spacing\n        \"\"\"\n        seps = self.get_separations()\n        ax = seps.argmax()\n        if seps[ax] >= max_separation:\n            cut = seps[ax] - max_separation\n            # update coordinates\n            for mol_site in self.mol_sites:\n                mol_site.cut_lattice(ax, cut)\n            self.lattice.update_para(ax, -cut)\n            if verbose:\n                print(f\"Found large separation {ax} {seps[ax]:.2f}\")\n                print(\"Update lattice\", self.lattice)\n\n    def optimize_lattice_and_rotation(self, iterations=3, verbose=False):\n        \"\"\"\n        Iteratively cut lattice and optimize molecular rotations.\n\n        Args:\n            iterations (int): Number of optimization cycles\n            verbose (bool): Whether to print debug information\n        \"\"\"\n        if self.molecular:\n            for i in range(iterations):\n                self.cut_lattice(2.0, verbose=verbose)\n                if self.molecules[0].active_sites is not None:\n                    self.optimize_orientation_by_energy(20, verbose=verbose)\n\n    def get_rms_dist(self, xtal1, ltol=0.3, stol=0.3, angle_tol=5.0, scale=True):\n        \"\"\"\n        Compute the RMS distance between two crystal structures.\n\n        Args:\n            xtal1 (pyxtal): Second crystal structure to compare against\n            ltol (float): Relative length tolerance for matching unit cells\n            stol (float): Site tolerance for matching atomic positions\n            angle_tol (float): Tolerance for matching cell angles in degrees\n            scale (bool): Whether to scale the structures before comparing\n\n        Returns:\n            float: Root mean square (RMS) distance between the structures\n\n        Note:\n            Uses pymatgen's structure matcher functionality internally\n        \"\"\"\n        from pyxtal.util import get_pmg_dist\n\n        if not isinstance(xtal1, pyxtal):\n            raise TypeError(\"The input must be a pyxtal instance\")\n        pmg = self.to_pymatgen()\n        pmg1 = xtal1.to_pymatgen()\n        return get_pmg_dist(pmg, pmg1, ltol=ltol, stol=stol, angle_tol=angle_tol, scale=scale)\n"
  },
  {
    "path": "pyxtal/asu_constraints.py",
    "content": "\"\"\"\nModule for handling Asymmetric Unit (ASU) constraints with complex conditions.\n\nThis module provides tools to:\n1. Define ASU box constraints (x_min ≤ x ≤ x_max, etc.)\n2. Define additional inequality constraints (e.g., x ≤ y, y ≤ 1/2 - x)\n3. Check if coordinates satisfy ASU conditions\n4. Generate random points within the ASU\n5. Project coordinates into the ASU\n\nExamples of ASU conditions:\n- Space Group 1 (P1): 0 ≤ x ≤ 1, 0 ≤ y ≤ 1, 0 ≤ z ≤ 1\n- Space Group 75 (P4): 0 ≤ x ≤ 1/2, 0 ≤ y ≤ 1/2, 0 ≤ z ≤ 1, with x ≤ y\n- Space Group 146 (R3): x ≤ (1+y)/2, y ≤ min(1-x, (1+x)/2), z ≤ 1\n\"\"\"\n\nimport numpy as np\nfrom fractions import Fraction\nfrom typing import List, Callable, Optional\n\n\nclass ASUCondition:\n    \"\"\"\n    Represents a single inequality condition for ASU.\n    \n    Examples:\n        x ≤ y  -->  lambda coords: coords[0] <= coords[1]\n        y ≤ 1/2 - x  -->  lambda coords: coords[1] <= 0.5 - coords[0]\n        x ≤ (1+y)/2  -->  lambda coords: coords[0] <= (1 + coords[1])/2\n    \"\"\"\n    \n    def __init__(self, condition: Callable, description: str):\n        \"\"\"\n        Initialize an ASU condition.\n        \n        Args:\n            condition: A callable that takes coords [x, y, z] and returns True/False\n            description: A human-readable description of the condition\n        \"\"\"\n        self.condition = condition\n        self.description = description\n    \n    def check(self, coords: np.ndarray) -> bool:\n        \"\"\"\n        Check if coordinates satisfy this condition.\n        \n        Args:\n            coords: Array of shape (..., 3) with [x, y, z] coordinates\n            \n        Returns:\n            Boolean or array of booleans indicating if condition is satisfied\n        \"\"\"\n        return self.condition(coords)\n    \n    def __repr__(self):\n        return f\"ASUCondition({self.description})\"\n\n\nclass ASU:\n    \"\"\"\n    Represents the Asymmetric Unit for a space group with box constraints\n    and additional inequality conditions.\n    \"\"\"\n    \n    def __init__(self, \n                 x_min: float, x_max: float,\n                 y_min: float, y_max: float,\n                 z_min: float, z_max: float,\n                 conditions: Optional[List[ASUCondition]] = None):\n        \"\"\"\n        Initialize ASU with box bounds and optional additional conditions.\n        \n        Args:\n            x_min, x_max: x coordinate bounds\n            y_min, y_max: y coordinate bounds\n            z_min, z_max: z coordinate bounds\n            conditions: List of additional ASUCondition objects\n        \"\"\"\n        self.bounds = np.array([x_min, x_max, y_min, y_max, z_min, z_max])\n        self.conditions = conditions or []\n    \n    @property\n    def x_min(self): return self.bounds[0]\n    \n    @property\n    def x_max(self): return self.bounds[1]\n    \n    @property\n    def y_min(self): return self.bounds[2]\n    \n    @property\n    def y_max(self): return self.bounds[3]\n    \n    @property\n    def z_min(self): return self.bounds[4]\n    \n    @property\n    def z_max(self): return self.bounds[5]\n    \n    def check_box_bounds(self, coords: np.ndarray) -> np.ndarray:\n        \"\"\"\n        Check if coordinates are within the box bounds.\n        \n        Args:\n            coords: Array of shape (..., 3) with [x, y, z] coordinates\n            \n        Returns:\n            Boolean array indicating if each point is within bounds\n        \"\"\"\n        coords = np.asarray(coords)\n        if coords.ndim == 1:\n            coords = coords.reshape(1, -1)\n        \n        in_bounds = (\n            (coords[..., 0] >= self.x_min) & (coords[..., 0] <= self.x_max) &\n            (coords[..., 1] >= self.y_min) & (coords[..., 1] <= self.y_max) &\n            (coords[..., 2] >= self.z_min) & (coords[..., 2] <= self.z_max)\n        )\n        return in_bounds\n    \n    def check_conditions(self, coords: np.ndarray) -> np.ndarray:\n        \"\"\"\n        Check if coordinates satisfy all additional conditions.\n        \n        Args:\n            coords: Array of shape (..., 3) with [x, y, z] coordinates\n            \n        Returns:\n            Boolean array indicating if each point satisfies all conditions\n        \"\"\"\n        if not self.conditions:\n            return np.ones(coords.shape[:-1], dtype=bool)\n        \n        coords = np.asarray(coords)\n        result = np.ones(coords.shape[:-1], dtype=bool)\n        \n        for condition in self.conditions:\n            result &= condition.check(coords)\n        \n        return result\n    \n    def is_valid(self, coords: np.ndarray) -> np.ndarray:\n        \"\"\"\n        Check if coordinates are within the ASU (both box bounds and conditions).\n        \n        Args:\n            coords: Array of shape (..., 3) with [x, y, z] coordinates\n            \n        Returns:\n            Boolean array indicating if each point is in the ASU\n        \"\"\"\n        return self.check_box_bounds(coords) & self.check_conditions(coords)\n    \n    def generate_random_points(self, n: int, max_attempts: int = 10000) -> np.ndarray:\n        \"\"\"\n        Generate random points uniformly within the ASU.\n        \n        Args:\n            n: Number of points to generate\n            max_attempts: Maximum number of attempts per point\n            \n        Returns:\n            Array of shape (n, 3) with valid ASU coordinates\n        \"\"\"\n        points = []\n        attempts = 0\n        \n        while len(points) < n and attempts < max_attempts:\n            # Generate random points in the box\n            candidates = np.random.rand(n - len(points), 3)\n            candidates[:, 0] = candidates[:, 0] * (self.x_max - self.x_min) + self.x_min\n            candidates[:, 1] = candidates[:, 1] * (self.y_max - self.y_min) + self.y_min\n            candidates[:, 2] = candidates[:, 2] * (self.z_max - self.z_min) + self.z_min\n            \n            # Check which ones satisfy all conditions\n            valid = self.check_conditions(candidates)\n            points.extend(candidates[valid])\n            \n            attempts += 1\n        \n        if len(points) < n:\n            raise ValueError(f\"Could not generate {n} valid points after {max_attempts} attempts\")\n        \n        return np.array(points[:n])\n    \n    def project_to_asu(self, coords: np.ndarray, method: str = 'clamp') -> np.ndarray:\n        \"\"\"\n        Project coordinates to be within the ASU.\n        \n        Args:\n            coords: Array of shape (..., 3) with [x, y, z] coordinates\n            method: Projection method ('clamp' or 'modulo')\n            \n        Returns:\n            Projected coordinates within the ASU\n        \"\"\"\n        coords = np.asarray(coords, dtype=float).copy()\n        original_shape = coords.shape\n        coords = coords.reshape(-1, 3)\n        \n        if method == 'clamp':\n            # Clamp to box bounds\n            coords[:, 0] = np.clip(coords[:, 0], self.x_min, self.x_max)\n            coords[:, 1] = np.clip(coords[:, 1], self.y_min, self.y_max)\n            coords[:, 2] = np.clip(coords[:, 2], self.z_min, self.z_max)\n            \n            # Handle additional conditions (simple approach: iterative adjustment)\n            for _ in range(10):  # Max iterations\n                if np.all(self.check_conditions(coords)):\n                    break\n                \n                for condition in self.conditions:\n                    invalid = ~condition.check(coords)\n                    if np.any(invalid):\n                        # Simple heuristic: move slightly toward center of ASU\n                        center = np.array([\n                            (self.x_min + self.x_max) / 2,\n                            (self.y_min + self.y_max) / 2,\n                            (self.z_min + self.z_max) / 2\n                        ])\n                        coords[invalid] = 0.9 * coords[invalid] + 0.1 * center\n        \n        elif method == 'modulo':\n            # Apply periodic boundary conditions first\n            coords[:, 0] = coords[:, 0] % 1.0\n            coords[:, 1] = coords[:, 1] % 1.0\n            coords[:, 2] = coords[:, 2] % 1.0\n            \n            # Then clamp to ASU box\n            coords[:, 0] = np.clip(coords[:, 0], self.x_min, self.x_max)\n            coords[:, 1] = np.clip(coords[:, 1], self.y_min, self.y_max)\n            coords[:, 2] = np.clip(coords[:, 2], self.z_min, self.z_max)\n        \n        return coords.reshape(original_shape)\n    \n    def __repr__(self):\n        bounds_str = (f\"x: [{self.x_min}, {self.x_max}], \"\n                      f\"y: [{self.y_min}, {self.y_max}], \"\n                      f\"z: [{self.z_min}, {self.z_max}]\")\n        if self.conditions:\n            cond_str = \", conditions: \" + \", \".join(str(c) for c in self.conditions)\n        else:\n            cond_str = \"\"\n        return f\"ASU({bounds_str}{cond_str})\"\n\n\n# ============================================================================\n# Example ASU definitions with additional conditions\n# ============================================================================\n\ndef create_asu_for_space_group(space_group: int) -> ASU:\n    \"\"\"\n    Create ASU object for a given space group number.\n    \n    This is a demonstration with a few examples. For complete implementation,\n    you would need to add all 230 space groups.\n    \n    Args:\n        space_group: Space group number (1-230)\n        \n    Returns:\n        ASU object with appropriate bounds and conditions\n    \"\"\"\n    # Basic ASU bounds for common space groups (partial list for demonstration)\n    # Full data can be loaded from pyxtal/database/asymmetric_unit.txt\n    ASU_BOUNDS_DICT = {\n        1: [0, 1, 0, 1, 0, 1],\n        2: [0, 0.5, 0, 1, 0, 1],\n        75: [0, 0.5, 0, 0.5, 0, 1],\n        143: [0, 2/3, 0, 2/3, 0, 1],\n        146: [0, 2/3, 0, 2/3, 0, 1/3],\n        195: [0, 0.5, 0, 0.5, 0, 0.5],\n    }\n    \n    bounds = ASU_BOUNDS_DICT.get(space_group, [0, 1, 0, 1, 0, 1])\n    x_min, x_max, y_min, y_max, z_min, z_max = bounds\n    \n    # Define additional conditions for specific space groups\n    conditions = []\n    \n    # Space Group 75 (P4): Additional condition x ≤ y\n    if space_group == 75:\n        conditions.append(ASUCondition(\n            lambda c: c[..., 0] <= c[..., 1],\n            \"x ≤ y\"\n        ))\n    \n    # Space Group 143 (P3): Additional conditions\n    elif space_group == 143:\n        conditions.extend([\n            ASUCondition(\n                lambda c: c[..., 0] <= c[..., 1],\n                \"x ≤ y\"\n            ),\n            ASUCondition(\n                lambda c: c[..., 1] <= 0.5,\n                \"y ≤ 1/2\"\n            )\n        ])\n    \n    # Space Group 146 (R3): More complex conditions\n    elif space_group == 146:\n        conditions.extend([\n            ASUCondition(\n                lambda c: c[..., 0] <= (1 + c[..., 1]) / 2,\n                \"x ≤ (1+y)/2\"\n            ),\n            ASUCondition(\n                lambda c: c[..., 1] <= np.minimum(1 - c[..., 0], (1 + c[..., 0]) / 2),\n                \"y ≤ min(1-x, (1+x)/2)\"\n            )\n        ])\n    \n    # Space Group 195 (P23): Additional condition x ≤ y and y ≤ z\n    elif space_group == 195:\n        conditions.extend([\n            ASUCondition(\n                lambda c: c[..., 0] <= c[..., 1],\n                \"x ≤ y\"\n            ),\n            ASUCondition(\n                lambda c: c[..., 1] <= c[..., 2],\n                \"y ≤ z\"\n            )\n        ])\n    \n    # Add more space groups as needed...\n    \n    return ASU(x_min, x_max, y_min, y_max, z_min, z_max, conditions)\n\n\n# ============================================================================\n# Utility functions\n# ============================================================================\n\ndef parse_fraction(frac_str: str) -> float:\n    \"\"\"Convert fraction string like '1/2' to float.\"\"\"\n    frac_str = frac_str.strip()\n    if '/' in frac_str:\n        return float(Fraction(frac_str))\n    return float(frac_str)\n\n\ndef test_asu_implementation():\n    \"\"\"Test the ASU implementation with examples.\"\"\"\n    print(\"Testing ASU implementation\\n\" + \"=\" * 60)\n    \n    # Test 1: Simple box constraint (Space Group 1)\n    print(\"\\n1. Space Group 1 (P1) - Simple box\")\n    asu1 = create_asu_for_space_group(1)\n    print(asu1)\n    \n    test_points = np.array([\n        [0.5, 0.5, 0.5],  # Valid\n        [1.5, 0.5, 0.5],  # Invalid (x > 1)\n        [0.0, 0.0, 0.0],  # Valid\n    ])\n    valid = asu1.is_valid(test_points)\n    print(f\"Test points validity: {valid}\")\n    \n    # Test 2: Box with condition (Space Group 75)\n    print(\"\\n2. Space Group 75 (P4) - Box with x ≤ y\")\n    asu75 = create_asu_for_space_group(75)\n    print(asu75)\n    \n    test_points = np.array([\n        [0.3, 0.4, 0.5],  # Valid (x < y)\n        [0.4, 0.3, 0.5],  # Invalid (x > y)\n        [0.25, 0.25, 0.5],  # Valid (x = y)\n    ])\n    valid = asu75.is_valid(test_points)\n    print(f\"Test points validity: {valid}\")\n    \n    # Test 3: Generate random points\n    print(\"\\n3. Generate random points in ASU 75\")\n    random_points = asu75.generate_random_points(5)\n    print(f\"Generated {len(random_points)} random points:\")\n    for i, pt in enumerate(random_points):\n        print(f\"  Point {i+1}: x={pt[0]:.4f}, y={pt[1]:.4f}, z={pt[2]:.4f}, valid={asu75.is_valid(pt)}\")\n    \n    # Test 4: Project to ASU\n    print(\"\\n4. Project points to ASU\")\n    outside_points = np.array([\n        [0.6, 0.3, 0.5],  # Outside condition (x > y)\n        [1.5, 0.5, 0.5],  # Outside box\n    ])\n    projected = asu75.project_to_asu(outside_points)\n    print(f\"Original points:\\n{outside_points}\")\n    print(f\"Projected points:\\n{projected}\")\n    print(f\"Projected points valid: {asu75.is_valid(projected)}\")\n    \n\nif __name__ == \"__main__\":\n    test_asu_implementation()\n"
  },
  {
    "path": "pyxtal/block_crystal.py",
    "content": "\"\"\"\nModule for generating crystals based on building blocks\n\"\"\"\n# Standard Libraries\nimport numpy as np\n\n# External Libraries\nfrom pymatgen.core import Molecule\n\n# PyXtal imports\nfrom pyxtal.molecular_crystal import molecular_crystal as mol_xtal\nfrom pyxtal.molecule import Orientation, compare_mol_connectivity, pyxtal_molecule\nfrom pyxtal.wyckoff_site import mol_site\nfrom pyxtal.io import search_molecules_in_crystal\n\ndef block_crystal(\n    dim,\n    group,\n    molecules,\n    numMols,\n    factor,\n    thickness,\n    area,\n    block,\n    num_block,\n    lattice,\n    torsions,\n    sites,\n    conventional,\n    tm,\n    seed,\n    random_state,\n    use_hall,\n):\n    # If block is None, directly generate mol. xtal.\n    # Otherwise, generate crystal from building block\n    if block is None:\n        return mol_xtal(\n            dim,\n            group,\n            molecules,\n            numMols,\n            factor,\n            thickness=thickness,\n            area=area,\n            lattice=lattice,\n            torsions=torsions,\n            sites=sites,\n            conventional=conventional,\n            tm=tm,\n            seed=seed,\n            random_state=random_state,\n            use_hall=use_hall,\n        )\n\n    else:\n        p_mol = pyxtal_molecule(block)\n        block_mols = search_molecules_in_crystal(p_mol.mol, tol=0.2, once=False)\n        xtal_mols = [pyxtal_molecule(m, fix=True) for m in molecules]\n\n        orders = []\n        for m1 in xtal_mols:\n            for m2 in block_mols:\n                if len(m1.mol) == len(m2):\n                    # match, mapping = compare_mol_connectivity(m2, m1.mol)\n                    match, mapping = compare_mol_connectivity(m1.mol, m2)\n                    # print(match, len(m1.mol), len(m2))\n                    if match:\n                        orders.append([mapping[at] for at in range(len(m2))])\n                        break\n                        # print(mapping)\n                        # print(\"smile\"); print(m1.mol.to('xyz'))\n                        # print(\"reference\"); print(m2.to('xyz'))\n                        # print(orders[-1])\n                        # import sys; sys.exit()\n\n        if len(orders) != len(molecules):\n            raise ValueError(\"Block is inconsistent with the molecules\")\n\n        # rearrange the order of block molecules\n        numbers = []\n        coords = np.zeros([len(p_mol.mol), 3])\n        count = 0\n        for order, m in zip(orders, block_mols):\n            numbers.extend([m.atomic_numbers[o] for o in order])\n            coords[count : count + len(m)] += m.cart_coords[order]\n            count += len(m)\n        mol = Molecule(numbers, coords)\n        if num_block is not None:\n            num_block = [num_block]\n        # print(mol.to('xyz')); import sys; sys.exit()\n\n        for i in range(10):\n            struc = mol_xtal(\n                dim,\n                group,\n                [mol],\n                num_block,\n                factor,\n                thickness=thickness,\n                area=area,\n                lattice=lattice,\n                torsions=torsions,\n                sites=sites,\n                conventional=conventional,\n                tm=tm,\n                random_state=random_state,\n                use_hall=use_hall,\n            )\n\n            if struc.valid:\n                break\n\n        struc.molecules = xtal_mols\n        struc.numMols = struc.numMols * len(xtal_mols)\n\n        # XYZ from the block_sites\n        b_site = struc.mol_sites[0]\n        xyz, _ = b_site._get_coords_and_species(absolute=True, first=True)\n\n        # Create mol sites\n        ori = Orientation(np.eye(3))\n        mol_sites = []\n\n        count = 0\n        for i in range(len(molecules)):\n            mol = xtal_mols[i]\n            m_xyz = xyz[count : count + len(mol.mol)]\n            center = mol.get_center(m_xyz)\n            mol.reset_positions(m_xyz - center)\n            # print(mol.mol.to('xyz'))\n            position = np.dot(center, np.linalg.inv(struc.lattice.matrix))\n            position -= np.floor(position)\n            m_site = mol_site(mol, position, ori, b_site.wp, struc.lattice)\n            m_site.type = i\n            mol_sites.append(m_site)\n            count += len(mol.mol)\n\n        struc.mol_sites = mol_sites\n\n        return struc\n\n\nif __name__ == \"__main__\":\n    import pymatgen.analysis.structure_matcher as sm\n\n    from pyxtal import pyxtal\n    from pyxtal.representation import representation\n\n    smiles = [\n        \"C1=C(C=C(C=C1[N+](=O)[O-])[N+](=O)[O-])C(=O)O.smi\",\n        \"CC1=CC2=C(C=C1)N3CC4=C(C=CC(=C4)C)N(C2)C3.smi\",\n    ]\n\n    for block in [None, \"xxv\"]:\n        print(\"block\", block)\n        for i in range(30):\n            s = pyxtal(molecular=True)\n            s.from_random(3, 14, smiles, block=block)\n\n            rep2 = representation.from_pyxtal(s)\n            strs = rep2.to_string()\n            print(i, strs)\n\n            rep3 = representation.from_string(strs, smiles)\n            s1 = rep3.to_pyxtal()\n\n            pmg1 = s.to_pymatgen()\n            pmg2 = s1.to_pymatgen()\n            pmg1.remove_species(\"H\")\n            pmg2.remove_species(\"H\")\n            if not sm.StructureMatcher().fit(pmg1, pmg2):\n                print(\"Mismatch\")\n                print(\"S1\", s.check_short_distances())\n                print(\"S2\", s1.check_short_distances())\n                s.to_file(\"1.cif\")\n                s1.to_file(\"2.cif\")\n                import sys; sys.exit()"
  },
  {
    "path": "pyxtal/constants.py",
    "content": "\"\"\"\nModule to store the constants\n\"\"\"\n\nimport numpy as np\nfrom pyxtal.version import __version__\n\n# Constants\n# ------------------------------\ntol_m = 0.3  # seperation tolerance in Angstroms\nrad = np.pi / 180.0  # converting degrees to radians\ndeg = 180.0 / np.pi  # converting radians to degrees\npyxtal_verbosity = 1  # constant for printx function\n# Max number of atoms per molecule before using fast distance check\nmax_fast_mol_size = 30\nletters = \"abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ\"\nltype_keywords = [\n    \"triclinic\",\n    \"Triclinic\",\n    \"monoclinic\",\n    \"Monoclinic\",\n    \"orthorhombic\",\n    \"Orthorhombic\",\n    \"tetragonal\",\n    \"Tetragonal\",\n    \"trigonal\",\n    \"Trigonal\",\n    \"hexagonal\",\n    \"Hexagonal\",\n    \"cubic\",\n    \"Cubic\",\n    \"spherical\",\n    \"Spherical\",\n    \"ellipsoidal\",\n    \"Ellipsoidal\",\n]\nsingle_smiles = [\n    \"Cl-\",\n    \"F-\",\n    \"Br-\",\n    \"I-\",\n    \"Li+\",\n    \"Na+\",\n    \"Cs+\",\n    \"Rb+\",\n    \"[Cl-]\",\n    \"[F-]\",\n    \"[Br-]\",\n    \"[I-]\",\n    \"[Li+]\",\n    \"[Na+]\",\n    \"[Cs+]\",\n    \"Rb+\",\n]\nhex_cell = np.array([[1, -0.5, 0], [0, np.sqrt(3) / 2, 0], [0, 0, 1]])\nall_sym_directions = [\n    (1, 0, 0),\n    (0, 1, 0),\n    (0, 0, 1),\n    (1, 1, 1),\n    (1, -1, -1),\n    (-1, 1, -1),\n    (-1, -1, 1),\n    (1, -1, 0),\n    (1, 1, 0),\n    (0, 1, -1),\n    (0, 1, 1),\n    (-1, 0, 1),\n    (1, 0, 1),\n    (1, -2, 0),\n    (2, -1, 0),\n]\n\nlogo = rf\"\"\"#############################################################\n#             ______       _    _          _                #\n#            (_____ \\     \\ \\  / /        | |               #\n#             _____) )   _ \\ \\/ / |_  ____| |               #\n#            |  ____/ | | | )  (|  _)/ _  | |               #\n#            | |    | |_| |/ /\\ \\ |_( (_| | |___            #\n#            |_|     \\__  /_/  \\_\\___)__|_|_____)           #\n#                   (____/                                  #\n#---------------------(version {__version__:>8s})--------------------#\n#       A Python package for random crystal generation      #\n#       url: https://github.com/qzhu2017/pyxtal             #\n#       @Zhu's group at U. North Carolina at Charlotte      #\n#############################################################\n\"\"\"\n\n\"\"\"\nReferences:\n- International Tables for Crystallography, Volume A\n\"\"\"\n# Asymmetric unit bounds for 230 space groups\n# Format: space_group_number  x_min  x_max  y_min  y_max  z_min  z_max\nASU_bounds = np.array([\n     [       0,        1,        0,        1,        0,        1],  # SG 1\n     [       0,      1/2,        0,        1,        0,        1],  # SG 2\n     [       0,        1,        0,        1,        0,      1/2],  # SG 3\n     [       0,        1,        0,        1,        0,      1/2],  # SG 4\n     [       0,      1/2,        0,      1/2,        0,        1],  # SG 5\n     [       0,        1,        0,      1/2,        0,        1],  # SG 6\n     [       0,        1,        0,      1/2,        0,        1],  # SG 7\n     [       0,        1,        0,      1/4,        0,        1],  # SG 8\n     [       0,        1,        0,      1/4,        0,        1],  # SG 9\n     [       0,      1/2,        0,      1/2,        0,        1],  # SG 10\n     [       0,        1,        0,      1/4,        0,        1],  # SG 11\n     [       0,      1/2,        0,      1/4,        0,        1],  # SG 12\n     [       0,      1/2,        0,        1,        0,      1/2],  # SG 13\n     [       0,        1,        0,      1/4,        0,        1],  # SG 14\n     [       0,      1/2,        0,      1/2,        0,      1/2],  # SG 15\n     [       0,      1/2,        0,      1/2,        0,        1],  # SG 16\n     [       0,      1/2,        0,      1/2,        0,        1],  # SG 17\n     [       0,      1/2,        0,      1/2,        0,        1],  # SG 18\n     [       0,      1/2,        0,      1/2,        0,        1],  # SG 19\n     [       0,      1/2,        0,      1/2,        0,      1/2],  # SG 20\n     [       0,      1/4,        0,      1/2,        0,        1],  # SG 21\n     [       0,      1/4,        0,      1/4,        0,        1],  # SG 22\n     [       0,      1/2,        0,      1/2,        0,      1/2],  # SG 23\n     [       0,      1/2,        0,      1/2,        0,      1/2],  # SG 24\n     [       0,      1/2,        0,      1/2,        0,        1],  # SG 25\n     [       0,      1/2,        0,      1/2,        0,        1],  # SG 26\n     [       0,      1/2,        0,      1/2,        0,        1],  # SG 27\n     [       0,      1/4,        0,        1,        0,        1],  # SG 28\n     [       0,      1/4,        0,        1,        0,        1],  # SG 29\n     [       0,      1/2,        0,        1,        0,      1/2],  # SG 30\n     [       0,      1/2,        0,      1/2,        0,        1],  # SG 31\n     [       0,      1/2,        0,      1/2,        0,        1],  # SG 32\n     [       0,      1/2,        0,      1/2,        0,        1],  # SG 33\n     [       0,      1/2,        0,      1/2,        0,        1],  # SG 34\n     [       0,      1/4,        0,      1/2,        0,        1],  # SG 35\n     [       0,      1/2,        0,      1/2,        0,      1/2],  # SG 36\n     [       0,      1/4,        0,      1/2,        0,        1],  # SG 37\n     [       0,      1/2,        0,      1/2,        0,      1/2],  # SG 38\n     [       0,      1/2,        0,      1/4,        0,        1],  # SG 39\n     [       0,      1/4,        0,      1/2,        0,        1],  # SG 40\n     [       0,      1/2,        0,      1/2,        0,      1/2],  # SG 41\n     [       0,      1/4,        0,      1/4,        0,        1],  # SG 42\n     [       0,      1/4,        0,      1/4,        0,        1],  # SG 43\n     [       0,      1/2,        0,      1/2,        0,      1/2],  # SG 44\n     [       0,      1/2,        0,      1/2,        0,      1/2],  # SG 45\n     [       0,      1/4,        0,        1,        0,      1/2],  # SG 46\n     [       0,      1/2,        0,      1/2,        0,      1/2],  # SG 47\n     [       0,      1/4,     -1/4,      1/4,        0,        1],  # SG 48\n     [       0,      1/2,        0,      1/2,        0,      1/2],  # SG 49\n     [       0,      1/4,        0,        1,        0,      1/2],  # SG 50\n     [       0,      1/4,        0,      1/2,        0,        1],  # SG 51\n     [       0,        1,        0,      1/4,        0,      1/2],  # SG 52\n     [       0,      1/2,        0,        1,        0,      1/4],  # SG 53\n     [       0,      1/2,        0,      1/2,        0,      1/2],  # SG 54\n     [       0,      1/2,        0,      1/2,        0,      1/2],  # SG 55\n     [       0,      1/4,        0,        1,        0,      1/2],  # SG 56\n     [       0,      1/2,        0,        1,        0,      1/4],  # SG 57\n     [       0,      1/2,        0,      1/2,        0,      1/2],  # SG 58\n     [       0,      1/4,     -1/4,      1/4,        0,        1],  # SG 59\n     [       0,      1/2,        0,      1/2,        0,      1/2],  # SG 60\n     [       0,      1/2,        0,      1/2,        0,      1/2],  # SG 61\n     [       0,      1/2,        0,      1/4,        0,        1],  # SG 62\n     [       0,      1/2,        0,      1/2,        0,      1/4],  # SG 63\n     [       0,      1/4,        0,      1/2,        0,      1/2],  # SG 64\n     [       0,      1/4,        0,      1/2,        0,      1/2],  # SG 65\n     [       0,      1/4,        0,      1/2,        0,      1/2],  # SG 66\n     [       0,      1/2,        0,      1/4,        0,      1/2],  # SG 67\n     [       0,      1/2,        0,      1/4,        0,      1/2],  # SG 68\n     [       0,      1/4,        0,      1/4,        0,      1/2],  # SG 69\n     [       0,      1/8,     -1/8,      1/8,        0,        1],  # SG 70\n     [       0,      1/4,        0,      1/2,        0,      1/2],  # SG 71\n     [       0,      1/4,        0,      1/2,        0,      1/2],  # SG 72\n     [       0,      1/4,        0,      1/2,        0,      1/2],  # SG 73\n     [       0,      1/4,        0,      1/4,        0,        1],  # SG 74\n     [       0,      1/2,        0,      1/2,        0,        1],  # SG 75\n     [       0,      1/2,        0,      1/2,        0,        1],  # SG 76\n     [       0,      1/2,        0,      1/2,        0,        1],  # SG 77\n     [       0,      1/2,        0,      1/2,        0,        1],  # SG 78\n     [       0,      1/2,        0,      1/2,        0,      1/2],  # SG 79\n     [       0,      1/2,        0,        1,        0,      1/4],  # SG 80\n     [       0,      1/2,        0,      1/2,        0,        1],  # SG 81\n     [       0,      1/2,        0,      1/2,        0,      1/2],  # SG 82\n     [       0,      1/2,        0,      1/2,        0,      1/2],  # SG 83\n     [       0,      1/2,        0,      1/2,        0,      1/2],  # SG 84\n     [    -1/4,      1/4,     -1/4,      1/4,        0,      1/2],  # SG 85\n     [    -1/4,      1/4,     -1/4,      1/4,        0,      1/2],  # SG 86\n     [       0,      1/2,        0,      1/2,        0,      1/4],  # SG 87\n     [       0,      1/4,        0,      1/4,        0,        1],  # SG 88\n     [       0,      1/2,        0,      1/2,        0,      1/2],  # SG 89\n     [       0,      1/2,        0,      1/2,        0,      1/2],  # SG 90\n     [       0,        1,        0,        1,        0,      1/8],  # SG 91\n     [       0,        1,        0,        1,        0,      1/8],  # SG 92\n     [       0,      1/2,        0,        1,        0,      1/4],  # SG 93\n     [       0,      1/2,        0,      1/2,        0,      1/2],  # SG 94\n     [       0,        1,        0,        1,        0,      1/8],  # SG 95\n     [       0,        1,        0,        1,        0,      1/8],  # SG 96\n     [       0,      1/2,        0,      1/2,        0,      1/4],  # SG 97\n     [       0,      1/2,        0,        1,        0,      1/8],  # SG 98\n     [       0,      1/2,        0,      1/2,        0,        1],  # SG 99\n     [       0,      1/2,        0,      1/2,        0,        1],  # SG 100\n     [       0,      1/2,        0,      1/2,        0,        1],  # SG 101\n     [       0,      1/2,        0,      1/2,        0,        1],  # SG 102\n     [       0,      1/2,        0,      1/2,        0,      1/2],  # SG 103\n     [       0,      1/2,        0,      1/2,        0,      1/2],  # SG 104\n     [       0,      1/2,        0,      1/2,        0,      1/2],  # SG 105\n     [       0,      1/2,        0,      1/2,        0,      1/2],  # SG 106\n     [       0,      1/2,        0,      1/2,        0,      1/2],  # SG 107\n     [       0,      1/2,        0,      1/2,        0,      1/2],  # SG 108\n     [       0,      1/2,        0,      1/2,        0,      1/4],  # SG 109\n     [       0,      1/2,        0,      1/2,        0,      1/4],  # SG 110\n     [       0,      1/2,        0,      1/2,        0,        1],  # SG 111\n     [       0,      1/2,        0,      1/2,        0,      1/2],  # SG 112\n     [       0,      1/2,        0,      1/2,        0,        1],  # SG 113\n     [       0,      1/2,        0,      1/2,        0,      1/2],  # SG 114\n     [       0,      1/2,        0,      1/2,        0,      1/2],  # SG 115\n     [       0,      1/2,        0,        1,        0,      1/4],  # SG 116\n     [       0,      1/2,        0,      1/2,        0,      1/2],  # SG 117\n     [       0,      1/2,        0,        1,        0,      1/4],  # SG 118\n     [       0,      1/2,        0,      1/2,        0,      1/4],  # SG 119\n     [       0,      1/2,        0,      1/2,        0,      1/4],  # SG 120\n     [       0,      1/2,        0,      1/2,        0,      1/2],  # SG 121\n     [       0,      1/2,        0,        1,        0,      1/8],  # SG 122\n     [       0,      1/2,        0,      1/2,        0,      1/2],  # SG 123\n     [       0,      1/2,        0,      1/2,        0,      1/4],  # SG 124\n     [    -1/4,      1/4,     -1/4,      1/4,        0,      1/2],  # SG 125\n     [    -1/4,      1/4,     -1/4,      1/4,        0,      1/4],  # SG 126\n     [       0,      1/2,        0,      1/2,        0,      1/2],  # SG 127\n     [       0,      1/2,        0,      1/2,        0,      1/4],  # SG 128\n     [    -1/4,      1/4,     -1/4,      1/4,        0,      1/2],  # SG 129\n     [    -1/4,      1/4,     -1/4,      1/4,        0,      1/4],  # SG 130\n     [       0,      1/2,        0,      1/2,        0,      1/4],  # SG 131\n     [       0,      1/2,        0,      1/2,        0,      1/2],  # SG 132\n     [    -1/4,      1/4,     -1/4,      1/4,        0,      1/4],  # SG 133\n     [    -1/4,      1/4,     -1/4,      1/4,        0,      1/2],  # SG 134\n     [       0,      1/2,        0,      1/2,        0,      1/4],  # SG 135\n     [       0,      1/2,        0,      1/2,        0,      1/2],  # SG 136\n     [    -1/4,      1/4,     -1/4,      1/4,        0,      1/4],  # SG 137\n     [    -1/4,      1/4,     -1/4,      1/4,        0,      1/2],  # SG 138\n     [       0,      1/2,        0,      1/2,        0,      1/4],  # SG 139\n     [       0,      1/2,        0,      1/2,        0,      1/4],  # SG 140\n     [       0,      1/2,     -1/4,      1/4,        0,      1/8],  # SG 141\n     [       0,      1/2,     -1/4,      1/4,        0,      1/8],  # SG 142\n     [       0,      2/3,        0,      2/3,        0,        1],  # SG 143\n     [       0,        1,        0,        1,        0,      1/3],  # SG 144\n     [       0,        1,        0,        1,        0,      1/3],  # SG 145\n     [       0,      2/3,        0,      2/3,        0,      1/3],  # SG 146\n     [       0,      2/3,        0,      2/3,        0,      1/2],  # SG 147\n     [       0,      2/3,        0,      2/3,        0,      1/6],  # SG 148\n     [       0,      2/3,        0,      2/3,        0,      1/2],  # SG 149\n     [       0,      2/3,        0,      2/3,        0,      1/2],  # SG 150\n     [       0,        1,        0,        1,        0,      1/6],  # SG 151\n     [       0,        1,        0,        1,        0,      1/6],  # SG 152\n     [       0,        1,        0,        1,        0,      1/6],  # SG 153\n     [       0,        1,        0,        1,        0,      1/6],  # SG 154\n     [       0,      2/3,        0,      2/3,        0,      1/6],  # SG 155\n     [       0,      2/3,        0,      2/3,        0,        1],  # SG 156\n     [       0,      2/3,        0,      1/2,        0,        1],  # SG 157\n     [       0,      2/3,        0,      2/3,        0,      1/2],  # SG 158\n     [       0,      2/3,        0,      2/3,        0,      1/2],  # SG 159\n     [       0,      2/3,        0,      2/3,        0,      1/3],  # SG 160\n     [       0,      2/3,        0,      2/3,        0,      1/6],  # SG 161\n     [       0,      2/3,        0,      1/2,        0,      1/2],  # SG 162\n     [       0,      2/3,        0,      2/3,        0,      1/4],  # SG 163\n     [       0,      2/3,        0,      1/3,        0,        1],  # SG 164\n     [       0,      2/3,        0,      2/3,        0,      1/4],  # SG 165\n     [       0,      2/3,        0,      2/3,        0,      1/6],  # SG 166\n     [       0,      2/3,        0,      2/3,        0,     1/12],  # SG 167\n     [       0,      2/3,        0,      1/2,        0,        1],  # SG 168\n     [       0,        1,        0,        1,        0,      1/6],  # SG 169\n     [       0,        1,        0,        1,        0,      1/6],  # SG 170\n     [       0,        1,        0,        1,        0,      1/3],  # SG 171\n     [       0,        1,        0,        1,        0,      1/3],  # SG 172\n     [       0,      2/3,        0,      2/3,        0,      1/2],  # SG 173\n     [       0,      2/3,        0,      2/3,        0,      1/2],  # SG 174\n     [       0,      2/3,        0,      1/2,        0,      1/2],  # SG 175\n     [       0,      2/3,        0,      2/3,        0,      1/4],  # SG 176\n     [       0,      2/3,        0,      1/2,        0,      1/2],  # SG 177\n     [       0,        1,        0,        1,        0,     1/12],  # SG 178\n     [       0,        1,        0,        1,        0,     1/12],  # SG 179\n     [       0,        1,        0,        1,        0,      1/6],  # SG 180\n     [       0,        1,        0,        1,        0,      1/6],  # SG 181\n     [       0,      2/3,        0,      2/3,        0,      1/4],  # SG 182\n     [       0,      2/3,        0,      1/3,        0,        1],  # SG 183\n     [       0,      2/3,        0,      1/2,        0,      1/2],  # SG 184\n     [       0,      2/3,        0,      1/2,        0,      1/2],  # SG 185\n     [       0,      2/3,        0,      1/3,        0,        1],  # SG 186\n     [       0,      2/3,        0,        2,        0,      1/2],  # SG 187\n     [       0,      2/3,        0,        2,        0,      1/4],  # SG 188\n     [       0,      2/3,        0,      1/2,        0,      1/2],  # SG 189\n     [       0,      2/3,        0,        2,        0,      1/4],  # SG 190\n     [       0,      2/3,        0,      1/3,        0,      1/2],  # SG 191\n     [       0,      2/3,        0,      1/2,        0,      1/4],  # SG 192\n     [       0,      2/3,        0,      1/2,        0,      1/4],  # SG 193\n     [       0,      2/3,        0,        2,        0,      1/4],  # SG 194\n     [       0,        1,        0,        1,        0,      1/2],  # SG 195\n     [       0,      1/2,        0,      1/2,     -1/4,      1/4],  # SG 196\n     [       0,        1,        0,      1/2,        0,      1/2],  # SG 197\n     [       0,      1/2,        0,      1/2,     -1/2,      1/2],  # SG 198\n     [       0,      1/2,        0,      1/2,        0,      1/2],  # SG 199\n     [       0,      1/2,        0,      1/2,        0,      1/2],  # SG 200\n     [    -1/4,      3/4,     -1/4,      1/4,     -1/4,      1/4],  # SG 201\n     [       0,      1/2,        0,      1/2,        0,      1/4],  # SG 202\n     [    -1/8,      3/8,     -1/8,      1/8,     -3/8,      1/8],  # SG 203\n     [       0,      1/2,        0,      1/2,        0,      1/2],  # SG 204\n     [       0,      1/2,        0,      1/2,        0,      1/2],  # SG 205\n     [       0,      1/2,        0,      1/2,        0,      1/4],  # SG 206\n     [       0,        1,        0,      1/2,        0,      1/2],  # SG 207\n     [       0,      1/2,        0,      1/2,     -1/4,      1/4],  # SG 208\n     [       0,      1/2,        0,      1/4,     -1/4,      1/4],  # SG 209\n     [       0,      1/2,     -1/8,      1/8,     -1/8,      1/8],  # SG 210\n     [       0,      1/2,        0,      1/2,        0,      1/4],  # SG 211\n     [       0,      1/2,        0,        3,     -1/2,      1/4],  # SG 212\n     [    -1/4,      1/2,        0,        3,        0,      1/2],  # SG 213\n     [    -3/8,      1/8,     -1/8,      1/8,     -1/8,      3/8],  # SG 214\n     [       0,        1,        0,      1/2,        0,      1/2],  # SG 215\n     [       0,      1/2,        0,      1/4,     -1/4,      1/4],  # SG 216\n     [       0,      1/2,        0,      1/2,        0,      1/2],  # SG 217\n     [       0,      1/2,        0,      1/2,        0,      1/2],  # SG 218\n     [       0,      1/2,        0,      1/4,     -1/4,      1/4],  # SG 219\n     [     1/4,      1/2,      1/4,      1/2,        0,      1/2],  # SG 220\n     [       0,      1/2,        0,      1/2,        0,      1/2],  # SG 221\n     [     1/4,      3/4,      1/4,        3,      1/4,      3/4],  # SG 222\n     [       0,      1/2,        0,      1/2,        0,      1/4],  # SG 223\n     [     1/4,        3,      1/4,        3,        0,      1/2],  # SG 224\n     [       0,      1/2,        0,      1/4,        0,      1/4],  # SG 225\n     [       0,      1/2,        0,      1/4,        0,      1/4],  # SG 226\n     [    -1/8,      3/8,     -1/8,        0,     -1/4,        0],  # SG 227\n     [    -1/8,      3/8,     -1/8,        0,     -1/4,        0],  # SG 228\n     [       0,      1/2,        0,      1/2,        0,      1/4],  # SG 229\n     [    -1/8,      1/8,     -1/8,      1/8,        0,      1/4],  # SG 230\n ])\n\n# Dictionary mapping space group numbers to their additional ASU conditions\n# Format: {space_group: [(condition_function, description), ...]}\n\nASU_ADDITIONAL_CONDITIONS = {\n    # Tetragonal Space Groups\n    75: [(\"x <= y\", \"x ≤ y\")],  # P4\n    76: [(\"x <= y\", \"x ≤ y\")],  # P4₁\n    77: [(\"x <= y\", \"x ≤ y\")],  # P4₂\n    78: [(\"x <= y\", \"x ≤ y\")],  # P4₃\n    81: [(\"x <= y\", \"x ≤ y\")],  # P-4\n    83: [(\"x <= y\", \"x ≤ y\")],  # P4/m\n    84: [(\"x <= y\", \"x ≤ y\")],  # P4₂/m\n    85: [(\"x <= y\", \"x ≤ y\")],  # P4/n\n    86: [(\"x <= y\", \"x ≤ y\")],  # P4₂/n\n    89: [(\"x <= y\", \"x ≤ y\")],  # P422\n    90: [(\"x <= y\", \"x ≤ y\")],  # P42₁2\n    91: [(\"x <= y\", \"x ≤ y\")],  # P4₁22\n    92: [(\"x <= y\", \"x ≤ y\")],  # P4₁2₁2\n    93: [(\"x <= y\", \"x ≤ y\")],  # P4₂22\n    94: [(\"x <= y\", \"x ≤ y\")],  # P4₂2₁2\n    95: [(\"x <= y\", \"x ≤ y\")],  # P4₃22\n    96: [(\"x <= y\", \"x ≤ y\")],  # P4₃2₁2\n    99: [(\"x <= y\", \"x ≤ y\")],  # P4mm\n    100: [(\"x <= y\", \"x ≤ y\")],  # P4bm\n    101: [(\"x <= y\", \"x ≤ y\")],  # P4₂cm\n    102: [(\"x <= y\", \"x ≤ y\")],  # P4₂nm\n    103: [(\"x <= y\", \"x ≤ y\")],  # P4cc\n    104: [(\"x <= y\", \"x ≤ y\")],  # P4nc\n    105: [(\"x <= y\", \"x ≤ y\")],  # P4₂mc\n    106: [(\"x <= y\", \"x ≤ y\")],  # P4₂bc\n    107: [(\"x <= y\", \"x ≤ y\")],  # I4mm\n    108: [(\"x <= y\", \"x ≤ y\")],  # I4cm\n    111: [(\"x <= y\", \"x ≤ y\")],  # P-42m\n    112: [(\"x <= y\", \"x ≤ y\")],  # P-42c\n    113: [(\"x <= y\", \"x ≤ y\")],  # P-42₁m\n    114: [(\"x <= y\", \"x ≤ y\")],  # P-42₁c\n    115: [(\"x <= y\", \"x ≤ y\")],  # P-4m2\n    116: [(\"x <= y\", \"x ≤ y\")],  # P-4c2\n    117: [(\"x <= y\", \"x ≤ y\")],  # P-4b2\n    118: [(\"x <= y\", \"x ≤ y\")],  # P-4n2\n    119: [(\"x <= y\", \"x ≤ y\")],  # I-4m2\n    120: [(\"x <= y\", \"x ≤ y\")],  # I-4c2\n    123: [(\"x <= y\", \"x ≤ y\")],  # P4/mmm\n    124: [(\"x <= y\", \"x ≤ y\")],  # P4/mcc\n    125: [(\"x <= y\", \"x ≤ y\")],  # P4/nbm\n    126: [(\"x <= y\", \"x ≤ y\")],  # P4/nnc\n    127: [(\"x <= y\", \"x ≤ y\")],  # P4/mbm\n    128: [(\"x <= y\", \"x ≤ y\")],  # P4/mnc\n    129: [(\"x <= y\", \"x ≤ y\")],  # P4/nmm\n    130: [(\"x <= y\", \"x ≤ y\")],  # P4/ncc\n    131: [(\"x <= y\", \"x ≤ y\")],  # P4₂/mmc\n    132: [(\"x <= y\", \"x ≤ y\")],  # P4₂/mcm\n    133: [(\"x <= y\", \"x ≤ y\")],  # P4₂/nbc\n    134: [(\"x <= y\", \"x ≤ y\")],  # P4₂/nnm\n    135: [(\"x <= y\", \"x ≤ y\")],  # P4₂/mbc\n    136: [(\"x <= y\", \"x ≤ y\")],  # P4₂/mnm\n    137: [(\"x <= y\", \"x ≤ y\")],  # P4₂/nmc\n    138: [(\"x <= y\", \"x ≤ y\")],  # P4₂/ncm\n    139: [(\"x <= y\", \"x ≤ y\")],  # I4/mmm\n    140: [(\"x <= y\", \"x ≤ y\")],  # I4/mcm\n    141: [(\"x <= y\", \"x ≤ y\")],  # I4₁/amd\n    142: [(\"x <= y\", \"x ≤ y\")],  # I4₁/acd\n\n    # Trigonal Space Groups (with hexagonal axes)\n    143: [(\"x <= y\", \"x ≤ y\"), (\"y <= 0.5\", \"y ≤ 1/2\")],  # P3\n    144: [(\"x <= y\", \"x ≤ y\"), (\"y <= 0.5\", \"y ≤ 1/2\")],  # P3₁\n    145: [(\"x <= y\", \"x ≤ y\"), (\"y <= 0.5\", \"y ≤ 1/2\")],  # P3₂\n    149: [(\"x <= y\", \"x ≤ y\"), (\"y <= 0.5\", \"y ≤ 1/2\")],  # P312\n    150: [(\"x <= y\", \"x ≤ y\"), (\"y <= 0.5\", \"y ≤ 1/2\")],  # P321\n    151: [(\"x <= y\", \"x ≤ y\"), (\"y <= 0.5\", \"y ≤ 1/2\")],  # P3₁12\n    152: [(\"x <= y\", \"x ≤ y\"), (\"y <= 0.5\", \"y ≤ 1/2\")],  # P3₁21\n    153: [(\"x <= y\", \"x ≤ y\"), (\"y <= 0.5\", \"y ≤ 1/2\")],  # P3₂12\n    154: [(\"x <= y\", \"x ≤ y\"), (\"y <= 0.5\", \"y ≤ 1/2\")],  # P3₂21\n    156: [(\"x <= y\", \"x ≤ y\"), (\"y <= 0.5\", \"y ≤ 1/2\")],  # P3m1\n    157: [(\"x <= y\", \"x ≤ y\"), (\"y <= 0.5\", \"y ≤ 1/2\")],  # P31m\n    158: [(\"x <= y\", \"x ≤ y\"), (\"y <= 0.5\", \"y ≤ 1/2\")],  # P3c1\n    159: [(\"x <= y\", \"x ≤ y\"), (\"y <= 0.5\", \"y ≤ 1/2\")],  # P31c\n    162: [(\"x <= y\", \"x ≤ y\"), (\"y <= 0.5\", \"y ≤ 1/2\")],  # P-31m\n    163: [(\"x <= y\", \"x ≤ y\"), (\"y <= 0.5\", \"y ≤ 1/2\")],  # P-31c\n    164: [(\"x <= y\", \"x ≤ y\"), (\"y <= 0.5\", \"y ≤ 1/2\")],  # P-3m1\n    165: [(\"x <= y\", \"x ≤ y\"), (\"y <= 0.5\", \"y ≤ 1/2\")],  # P-3c1\n\n    # Trigonal Space Groups with R centering\n    146: [\n        (\"x <= (1 + y) / 2\", \"x ≤ (1+y)/2\"),\n        (\"y <= min(1 - x, (1 + x) / 2)\", \"y ≤ min(1-x, (1+x)/2)\")\n    ],  # R3 (hexagonal)\n\n    # Hexagonal Space Groups\n    168: [(\"x <= y\", \"x ≤ y\"), (\"y <= 0.5\", \"y ≤ 1/2\")],  # P6\n    169: [(\"x <= y\", \"x ≤ y\"), (\"y <= 0.5\", \"y ≤ 1/2\")],  # P6₁\n    170: [(\"x <= y\", \"x ≤ y\"), (\"y <= 0.5\", \"y ≤ 1/2\")],  # P6₅\n    171: [(\"x <= y\", \"x ≤ y\"), (\"y <= 0.5\", \"y ≤ 1/2\")],  # P6₂\n    172: [(\"x <= y\", \"x ≤ y\"), (\"y <= 0.5\", \"y ≤ 1/2\")],  # P6₄\n    173: [(\"x <= y\", \"x ≤ y\"), (\"y <= 0.5\", \"y ≤ 1/2\")],  # P6₃\n    175: [(\"x <= y\", \"x ≤ y\"), (\"y <= 0.5\", \"y ≤ 1/2\")],  # P6/m\n    176: [(\"x <= y\", \"x ≤ y\"), (\"y <= 0.5\", \"y ≤ 1/2\")],  # P6₃/m\n    177: [(\"x <= y\", \"x ≤ y\"), (\"y <= 0.5\", \"y ≤ 1/2\")],  # P622\n    178: [(\"x <= y\", \"x ≤ y\"), (\"y <= 0.5\", \"y ≤ 1/2\")],  # P6₁22\n    179: [(\"x <= y\", \"x ≤ y\"), (\"y <= 0.5\", \"y ≤ 1/2\")],  # P6₅22\n    180: [(\"x <= y\", \"x ≤ y\"), (\"y <= 0.5\", \"y ≤ 1/2\")],  # P6₂22\n    181: [(\"x <= y\", \"x ≤ y\"), (\"y <= 0.5\", \"y ≤ 1/2\")],  # P6₄22\n    182: [(\"x <= y\", \"x ≤ y\"), (\"y <= 0.5\", \"y ≤ 1/2\")],  # P6₃22\n    183: [(\"x <= y\", \"x ≤ y\"), (\"y <= 0.5\", \"y ≤ 1/2\")],  # P6mm\n    184: [(\"x <= y\", \"x ≤ y\"), (\"y <= 0.5\", \"y ≤ 1/2\")],  # P6cc\n    185: [(\"x <= y\", \"x ≤ y\"), (\"y <= 0.5\", \"y ≤ 1/2\")],  # P6₃cm\n    186: [(\"x <= y\", \"x ≤ y\"), (\"y <= 0.5\", \"y ≤ 1/2\")],  # P6₃mc\n    187: [(\"x <= y\", \"x ≤ y\"), (\"y <= 0.5\", \"y ≤ 1/2\")],  # P-6m2\n    188: [(\"x <= y\", \"x ≤ y\"), (\"y <= 0.5\", \"y ≤ 1/2\")],  # P-6c2\n    189: [(\"x <= y\", \"x ≤ y\"), (\"y <= 0.5\", \"y ≤ 1/2\")],  # P-62m\n    190: [(\"x <= y\", \"x ≤ y\"), (\"y <= 0.5\", \"y ≤ 1/2\")],  # P-62c\n    191: [(\"x <= y\", \"x ≤ y\"), (\"y <= 0.5\", \"y ≤ 1/2\")],  # P6/mmm\n    192: [(\"x <= y\", \"x ≤ y\"), (\"y <= 0.5\", \"y ≤ 1/2\")],  # P6/mcc\n    193: [(\"x <= y\", \"x ≤ y\"), (\"y <= 0.5\", \"y ≤ 1/2\")],  # P6₃/mcm\n    194: [(\"x <= y\", \"x ≤ y\"), (\"y <= 0.5\", \"y ≤ 1/2\")],  # P6₃/mmc\n\n    # Cubic Space Groups\n    195: [(\"x <= y\", \"x ≤ y\"), (\"y <= z\", \"y ≤ z\")],  # P23\n    196: [(\"x <= y\", \"x ≤ y\"), (\"y <= z\", \"y ≤ z\")],  # F23\n    197: [(\"x <= y\", \"x ≤ y\"), (\"y <= z\", \"y ≤ z\")],  # I23\n    198: [(\"x <= y\", \"x ≤ y\"), (\"y <= z\", \"y ≤ z\")],  # P2₁3\n    199: [(\"x <= y\", \"x ≤ y\"), (\"y <= z\", \"y ≤ z\")],  # I2₁3\n    200: [(\"x <= y\", \"x ≤ y\"), (\"y <= z\", \"y ≤ z\")],  # Pm-3\n    201: [(\"x <= y\", \"x ≤ y\"), (\"y <= z\", \"y ≤ z\")],  # Pn-3\n    202: [(\"x <= y\", \"x ≤ y\"), (\"y <= z\", \"y ≤ z\")],  # Fm-3\n    203: [(\"x <= y\", \"x ≤ y\"), (\"y <= z\", \"y ≤ z\")],  # Fd-3\n    204: [(\"x <= y\", \"x ≤ y\"), (\"y <= z\", \"y ≤ z\")],  # Im-3\n    205: [(\"x <= y\", \"x ≤ y\"), (\"y <= z\", \"y ≤ z\")],  # Pa-3\n    206: [(\"x <= y\", \"x ≤ y\"), (\"y <= z\", \"y ≤ z\")],  # Ia-3\n    207: [(\"x <= y\", \"x ≤ y\"), (\"y <= z\", \"y ≤ z\")],  # P432\n    208: [(\"x <= y\", \"x ≤ y\"), (\"y <= z\", \"y ≤ z\")],  # P4₂32\n    209: [(\"x <= y\", \"x ≤ y\"), (\"y <= z\", \"y ≤ z\")],  # F432\n    210: [(\"x <= y\", \"x ≤ y\"), (\"y <= z\", \"y ≤ z\")],  # F4₁32\n    211: [(\"x <= y\", \"x ≤ y\"), (\"y <= z\", \"y ≤ z\")],  # I432\n    212: [(\"x <= y\", \"x ≤ y\"), (\"y <= z\", \"y ≤ z\")],  # P4₃32\n    213: [(\"x <= y\", \"x ≤ y\"), (\"y <= z\", \"y ≤ z\")],  # P4₁32\n    214: [(\"x <= y\", \"x ≤ y\"), (\"y <= z\", \"y ≤ z\")],  # I4₁32\n    215: [(\"x <= y\", \"x ≤ y\"), (\"y <= z\", \"y ≤ z\")],  # P-43m\n    216: [(\"x <= y\", \"x ≤ y\"), (\"y <= z\", \"y ≤ z\")],  # F-43m\n    217: [(\"x <= y\", \"x ≤ y\"), (\"y <= z\", \"y ≤ z\")],  # I-43m\n    218: [(\"x <= y\", \"x ≤ y\"), (\"y <= z\", \"y ≤ z\")],  # P-43n\n    219: [(\"x <= y\", \"x ≤ y\"), (\"y <= z\", \"y ≤ z\")],  # F-43c\n    220: [(\"x <= y\", \"x ≤ y\"), (\"y <= z\", \"y ≤ z\")],  # I-43d\n    221: [(\"x <= y\", \"x ≤ y\"), (\"y <= z\", \"y ≤ z\")],  # Pm-3m\n    222: [(\"x <= y\", \"x ≤ y\"), (\"y <= z\", \"y ≤ z\")],  # Pn-3n\n    223: [(\"x <= y\", \"x ≤ y\"), (\"y <= z\", \"y ≤ z\")],  # Pm-3n\n    224: [(\"x <= y\", \"x ≤ y\"), (\"y <= z\", \"y ≤ z\")],  # Pn-3m\n    225: [(\"x <= y\", \"x ≤ y\"), (\"y <= z\", \"y ≤ z\")],  # Fm-3m\n    226: [(\"x <= y\", \"x ≤ y\"), (\"y <= z\", \"y ≤ z\")],  # Fm-3c\n    227: [(\"x <= y\", \"x ≤ y\"), (\"y <= z\", \"y ≤ z\")],  # Fd-3m\n    228: [(\"x <= y\", \"x ≤ y\"), (\"y <= z\", \"y ≤ z\")],  # Fd-3c\n    229: [(\"x <= y\", \"x ≤ y\"), (\"y <= z\", \"y ≤ z\")],  # Im-3m\n    230: [(\"x <= y\", \"x ≤ y\"), (\"y <= z\", \"y ≤ z\")],  # Ia-3d\n}\n\ndef get_additional_asu_conditions(space_group: int):\n    \"\"\"\n    Get additional ASU conditions for a space group.\n\n    Args:\n        space_group: Space group number (1-230)\n\n    Returns:\n        List of tuples (condition_string, description) or empty list\n    \"\"\"\n    return ASU_ADDITIONAL_CONDITIONS.get(space_group, [])\n"
  },
  {
    "path": "pyxtal/crystal.py",
    "content": "\"\"\"\nModule for generating atomic crystals\n\"\"\"\n\n# Standard Libraries\nfrom __future__ import annotations\n\nfrom copy import deepcopy\nfrom typing import TYPE_CHECKING\nfrom warnings import warn\n\nimport numpy as np\n\nfrom pyxtal.database.element import Element\nfrom pyxtal.lattice import Lattice\nfrom pyxtal.msg import Comp_CompatibilityError, VolumeError\n\nfrom pyxtal.symmetry import Group, choose_wyckoff\nfrom pyxtal.tolerance import Tol_matrix\nfrom pyxtal.wyckoff_site import atom_site\n\nif TYPE_CHECKING:\n    from numpy.random import Generator\n\n\n# Define functions\n# ------------------------------\nclass random_crystal:\n    \"\"\"\n    Class for storing and generating atomic crystals based on symmetry\n    constraints. Given a spacegroup, list of atomic symbols, the stoichiometry,\n    and a volume factor, generates a random crystal consistent with the\n    spacegroup's symmetry.\n\n    Args:\n        dim: dimenion (0, 1, 2, 3)\n        group: the group number (1-56, 1-75, 1-80, 1-230)\n        species: a list of atomic symbols for each ion type, e.g., `[\"Ti\", \"O\"]`\n        numIons: a list of the number of each type of atom within the\n            primitive cell (NOT the conventional cell), e.g., `[4, 2]`\n        factor (optional): volume factor used to generate the crystal\n        sites (optional): pre-assigned wyckoff sites (e.g., `[[\"4a\"], [\"2b\"]]`)\n        lattice (optional): `Lattice <pyxtal.lattice.Lattice.html>`_ object to\n            define the unit cell\n        tm (optional): `Tol_matrix <pyxtal.tolerance.Tol_matrix.html>`_ object\n            to define the distances\n    \"\"\"\n\n    def __init__(\n        self,\n        dim=3,\n        group=227,\n        species=None,\n        numIons=8,\n        factor=1.1,\n        thickness=None,\n        area=None,\n        lattice=None,\n        sites=None,\n        conventional=True,\n        tm=None,\n        use_hall=False,\n        random_state: int | None | Generator = None,\n        use_asu: bool = False,\n    ):\n        # Initialize\n        self.rng = np.random.default_rng(random_state)\n        if species is None:\n            species = [\"C\"]\n\n        self.source = \"Random\"\n        self.valid = False\n        self.factor = factor\n        self.min_density = 0.75\n        self.use_asu = use_asu\n\n        # Dimesion\n        self.dim = dim\n        self.area = area  # Cross-section area for 1D\n        self.thickness = thickness  # Thickness of 2D slab\n        self.lattice0 = lattice\n\n        # The periodic boundary condition\n        if dim == 3:\n            self.PBC = [1, 1, 1]\n        elif dim == 2:\n            self.PBC = [1, 1, 0]\n        elif dim == 1:\n            self.PBC = [0, 0, 1]\n        elif dim == 0:\n            self.PBC = [0, 0, 0]\n\n        # Symmetry group\n        if isinstance(group, Group):\n            self.group = group\n        else:\n            self.group = Group(group, dim=self.dim, use_hall=use_hall)\n        self.number = self.group.number\n        self.symbol = self.group.symbol\n\n        # Composition\n        numIons = np.array(numIons)\n        mul = self.group.cellsize() if not conventional else 1\n        self.numIons = numIons * mul\n        self.species = species\n\n        # Tolerance matrix\n        if tm is None:\n            self.tol_matrix = Tol_matrix(prototype=\"atomic\")\n        elif isinstance(tm, Tol_matrix):\n            self.tol_matrix = tm\n        else:\n            self.tol_matrix = Tol_matrix(prototype=tm)\n\n        # Wyckoff sites\n        self.set_sites(sites)\n\n        # Lattice and coordinates\n        compat, self.has_freedom = self.group.check_compatible(self.numIons)\n        if not compat:\n            self.valid = False\n            msg = \"Composition \" + str(self.numIons)\n            msg += \" not compatible with symmetry \"\n            msg += str(self.group.number)\n            raise Comp_CompatibilityError(msg)\n\n        self.set_elemental_volumes()\n        self.set_crystal()\n\n    def __str__(self):\n        if self.valid:\n            s = f\"------Crystal from {self.source:s}------\"\n            s += f\"\\nDimension: {self.dim}\"\n            s += f\"\\nGroup: {self.symbol} ({self.number})\"\n            s += f\"\\n{self.lattice}\"\n            s += \"\\nWyckoff sites:\"\n            for wyc in self.atom_sites:\n                s += f\"\\n\\t{wyc}\"\n        else:\n            s = \"\\nStructure not available.\"\n        return s\n\n    def __repr__(self):\n        return str(self)\n\n    def set_sites(self, sites):\n        \"\"\"\n        Initialize Wyckoff sites.\n\n        Parameters\n        ----------\n        sites : list\n            List of Wyckoff sites for each species.\n        \"\"\"\n        # Symmetry sites\n        self.sites = {}\n        for i, specie in enumerate(self.species):\n            if sites is not None and sites[i] is not None and len(sites[i]) > 0:\n                self.sites[specie] = []\n                self._check_consistency(sites[i], self.numIons[i])\n\n                if isinstance(sites[i], dict):\n                    for item in sites[i].items():\n                        # keep the record of wp index\n                        id = self.group.get_index_by_letter(item[0])\n                        if isinstance(item[1][0], list):\n                            for it in range(len(item[1])):\n                                self.sites[specie].append((id, item[1][it]))\n                        else:\n                            self.sites[specie].append((id, item[1]))\n                elif isinstance(sites[i], (list, tuple)):\n                    for site in sites[i]:\n                        if type(site) is tuple:\n                            (letter, x, y, z) = site\n                            id = self.group.get_index_by_letter(letter)\n                            self.sites[specie].append((id, (x, y, z)))\n                        else:\n                            id = self.group.get_index_by_letter(site)\n                            self.sites[specie].append(id)\n            else:\n                self.sites[specie] = None\n\n    def set_elemental_volumes(self):\n        \"\"\"\n        Set up the radii for each specie.\n        \"\"\"\n        self.elemental_volumes = []\n        for specie in self.species:\n            sp = Element(specie)\n            vol1, vol2 = sp.covalent_radius**3, sp.vdw_radius**3\n            self.elemental_volumes.append([4 / 3 * np.pi * vol1, 4 / 3 * np.pi * vol2])\n\n    def set_volume(self):\n        \"\"\"\n        Estimate the volume of a unit cell based on the number and types of ions.\n\n        The volume is calculated assuming each atom occupies a sphere with radius\n        equal to its covalent bond radius. Example conversions:\n            - 0.50 Å radius → 0.52 Å³\n            - 0.62 Å radius → 1.00 Å³\n            - 0.75 Å radius → 1.76 Å³\n\n        Note:\n            Set the volume attribute used for crystal generation.\n        \"\"\"\n        vmin_array = np.array([v[0] for v in self.elemental_volumes])\n        vmax_array = np.array([v[1] for v in self.elemental_volumes])\n\n        random_volumes = self.rng.uniform(vmin_array, vmax_array, size=len(self.numIons))\n        volume = np.sum(np.array(self.numIons) * random_volumes)\n\n        self.volume = self.factor * volume\n\n        # make sure the volume is not too small\n        if self.volume / sum(self.numIons) < self.min_density:\n            self.volume = sum(self.numIons) * self.min_density\n\n    def set_lattice(self, lattice):\n        \"\"\"\n        Generate or set the crystal lattice.\n\n        Args:\n            lattice : Lattice object, optional\n                A pre-defined lattice object to use. If None, a new lattice will be generated\n                based on the crystal's symmetry group and dimensionality.\n\n        Raises\n        ------\n        RuntimeError\n            If a valid lattice cannot be generated after 10 attempts with increasing volume.\n\n\n        Note:\n            When generating a new lattice (lattice=None):\n                - For 2D crystals, unique axis is 'c' for groups 3-7, 'a' otherwise\n                - For 1D crystals, unique axis is 'a' for groups 3-7, 'c' otherwise\n                - For 3D crystals, unique axis is always 'c'\n            If lattice generation fails due to volume constraints, the volume is incrementally\n            increased by 10% for up to 10 attempts.\n            When using a provided lattice, the lattice's periodic boundary conditions (PBC) are adjusted to match the crystal's PBC\n        \"\"\"\n\n        if lattice is not None:\n            # Use the provided lattice\n            self.lattice = lattice\n            self.volume = lattice.volume\n            # Make sure the custom lattice PBC axes are correct.\n            if lattice.PBC != self.PBC:\n                self.lattice.PBC = self.PBC\n        else:\n            # Determine the unique axis\n            if self.dim == 2:\n                unique_axis = \"c\" if self.number in range(3, 8) else \"a\"\n            elif self.dim == 1:\n                unique_axis = \"a\" if self.number in range(3, 8) else \"c\"\n            else:\n                unique_axis = \"c\"\n\n            # Generate a Lattice instance\n            good_lattice = False\n            for _cycle in range(10):\n                try:\n                    self.lattice = Lattice(\n                        self.group.lattice_type,\n                        self.volume,\n                        PBC=self.PBC,\n                        unique_axis=unique_axis,\n                        thickness=self.thickness,\n                        area=self.area,\n                        random_state=self.rng,\n                    )\n                    good_lattice = True\n                    break\n                except VolumeError:\n                    self.volume *= 1.1\n                    warn(f\"Warning: increase the volume by 1.1 times: {self.volume:.2f}\")\n\n            if not good_lattice:\n                msg = f\"Volume estimation {self.volume:.2f} is very bad with the given composition {self.numIons}\"\n                raise RuntimeError(msg)\n\n    def set_crystal(self):\n        \"\"\"\n        The main code to generate a random atomic crystal.\n        If successful, `self.valid` is True\n        \"\"\"\n        self.numattempts = 0\n        if not self.has_freedom:\n            self.lattice_attempts = 5\n            self.coord_attempts = 5\n        else:\n            self.lattice_attempts = 40\n            self.coord_attempts = 10\n\n        # QZ: Maybe we no longer need this tag\n        # if not self.lattice.allow_volume_reset:\n        #    self.lattice_attempts = 1\n\n        for cycle1 in range(self.lattice_attempts):\n            self.set_volume()\n            self.set_lattice(self.lattice0)\n            # print(\"VOLUME\", cycle1, self.volume)\n            self.cycle1 = cycle1\n            for cycle2 in range(self.coord_attempts):\n                self.cycle2 = cycle2\n                output = self._set_coords()\n\n                if output:\n                    self.atom_sites = output\n                    break\n            if self.valid:\n                return\n            else:\n                self.lattice.reset_matrix()\n\n        return\n\n    def _set_coords(self):\n        \"\"\"\n        Generate coordinates for random crystal.\n        \"\"\"\n        wyks = []\n        cell = self.lattice.matrix\n        # generate coordinates for each ion type in turn\n        for numIon, specie in zip(self.numIons, self.species):\n            output = self._set_ion_wyckoffs(numIon, specie, cell, wyks)\n            if output is not None:\n                wyks.extend(output)\n            else:\n                # correct multiplicity not achieved exit and start over\n                return None\n\n        # If numIon_added correct for all specie return structure\n        self.valid = True\n        return wyks\n\n    def _set_ion_wyckoffs(self, numIon, specie, cell, wyks):\n        \"\"\"\n        Generate a set of wyckoff positions to accomodate a given number\n        of ions\n\n        Args:\n            numIon: Number of ions to accomodate\n            specie: Type of species being placed on wyckoff site\n            cellx: Matrix of lattice vectors\n            wyks: current wyckoff sites\n\n        Returns:\n            Sucess:\n                wyckoff_sites_tmp: list of wyckoff sites for valid sites\n            Failue:\n                None\n\n        \"\"\"\n        numIon_added = 0\n        tol = self.tol_matrix.get_tol(specie, specie)\n        wyckoff_sites_tmp = []\n\n        # Now we start to add the specie to the wyckoff position\n        sites_list = deepcopy(self.sites[specie])  # the list of Wyckoff site\n        if sites_list is not None:\n            wyckoff_attempts = max(len(sites_list) * 2, 10)\n        else:\n            # the minimum numattempts is to put all atoms to the general WPs\n            min_wyckoffs = int(numIon / len(self.group.wyckoffs_organized[0][0]))\n            wyckoff_attempts = max(2 * min_wyckoffs, 10)\n\n        cycle = 0\n        while cycle < wyckoff_attempts:\n            # Choose a random WP for given multiplicity: 2a, 2b\n            site = sites_list[0] if sites_list is not None and len(sites_list) > 0 else None\n\n            new_site = None\n            if type(site) is tuple:  # site with coordinates\n                # print(site)\n                (index, xyz) = site\n                wp = self.group[index]\n                new_site = atom_site(wp, xyz, specie)\n            else:\n                if site is not None:\n                    wp = self.group[site]\n                    if self.use_asu:\n                        xmin, xmax, ymin, ymax, zmin, zmax = self.group.get_ASU()\n                        # Generate a random point based on (min, max) ranges\n                        pt = self.rng.uniform([xmin, ymin, zmin], [xmax, ymax, zmax])\n                    else:\n                        pt = self.lattice.generate_point()\n\n                    # avoid using the merge function\n                    if len(wp.short_distances(pt, cell, tol)) > 0:\n                        # print('bad pt', pt, wp.short_distances(pt, cell, tol))\n                        cycle += 1\n                        continue\n                    # update pt\n                    pt = wp.project(pt, cell, self.PBC)\n                    # print('good', pt, tol, len(wp.short_distances(pt, cell, tol)))\n                else:\n                    # generate wp\n                    wp = choose_wyckoff(self.group, numIon - numIon_added, site, self.dim, self.rng)\n                    if wp is not False:\n                        # print(wp.letter)\n                        # Generate a list of coords from ops\n                        if self.use_asu:\n                            xmin, xmax, ymin, ymax, zmin, zmax = self.group.get_ASU()\n                            # Generate a random point based on (min, max) ranges\n                            pt = self.rng.uniform([xmin, ymin, zmin], [xmax, ymax, zmax])\n                        else:\n                            pt = self.lattice.generate_point()\n                        pt, wp, _ = wp.merge(pt, cell, tol, group=self.group)\n                # print('good pt', pt)\n                if wp is not False:\n                    # For pure planar structure\n                    if self.dim == 2 and self.thickness is not None and self.thickness < 0.1:\n                        pt[-1] = 0.5\n                    new_site = atom_site(wp, pt, specie)\n\n            # Check current WP against existing WP's\n            if self.check_wp(wyckoff_sites_tmp, wyks, cell, new_site, tol):\n                if sites_list is not None and len(sites_list) > 0:\n                    sites_list.pop(0)\n                wyckoff_sites_tmp.append(new_site)\n                numIon_added += new_site.multiplicity\n\n                # Check if enough atoms have been added\n                if numIon_added == numIon:\n                    return wyckoff_sites_tmp\n\n            cycle += 1\n            self.numattempts += 1\n\n        return None\n\n    def check_wp(self, wyckoff_sites_tmp, wyks, cell, new_site, tol):\n        # Check current WP against existing WP's\n        if new_site is None:\n            return False\n\n        return all(new_site.check_with_ws2(ws, cell, tol) for ws in wyckoff_sites_tmp + wyks)\n\n    def _check_consistency(self, site, numIon):\n        num = 0\n        for s in site:\n            if isinstance(s, dict):\n                for key in s:\n                    num += int(key[:-1])\n            elif isinstance(s, tuple):\n                (letter, x, y, z) = s\n                num += int(letter[:-1])\n            else:\n                num += int(s[:-1])\n        if numIon == num:\n            return True\n        else:\n            diff = numIon - num\n            if diff > 0:\n                # check if compatible\n                compat, self.has_freedom = self.group.check_compatible([diff])\n                if compat:\n                    return True\n                else:\n                    msg = (\n                        f\"\\nfrom numIons: {numIon:d}\"\n                        f\"\\nfrom Wyckoff list: {num:d}\"\n                        f\"\\nThe number is incompatible with composition: {site}\"\n                    )\n                raise ValueError(msg)\n\n            msg = (\n                f\"\\nfrom numIons: {numIon:d}\"\n                f\"\\nfrom Wyckoff list: {num:d}\"\n                f\"\\nThe requested number is greater than composition: {site}\"\n            )\n            raise ValueError(msg)\n"
  },
  {
    "path": "pyxtal/database/HM_Full.csv",
    "content": "Hall,Spg_num,Spg_full,Symbol,P,P^-1,Permutation\n1,1,1,P 1,\"a,b,c\",\"a,b,c\",0\n2,2,2,P -1,\"a,b,c\",\"a,b,c\",0\n3,3,3:b,P 1 2 1,\"a,b,c\",\"a,b,c\",0\n4,3,3:c,P 1 1 2,\"c,a,b\",\"b,c,a\",1\n5,3,3:a,P 2 1 1,\"b,c,a\",\"c,a,b\",1\n6,4,4:b,P 1 21 1,\"a,b,c\",\"a,b,c\",0\n7,4,4:c,P 1 1 21,\"c,a,b\",\"b,c,a\",1\n8,4,4:a,P 21 1 1,\"b,c,a\",\"c,a,b\",1\n9,5,5:b1,C 1 2 1,\"a,b,c\",\"a,b,c\",0\n10,5,5:b2,A 1 2 1,\"c,-b,a\",\"c,-b,a\",0\n11,5,5:b3,I 1 2 1,\"c,b,-a-c\",\"-a-c,b,a\",0\n12,5,5:c1,A 1 1 2,\"c,a,b\",\"b,c,a\",1\n13,5,5:c2,B 1 1 2,\"a,c,-b\",\"a,-c,b\",1\n14,5,5:c3,I 1 1 2,\"-a-c,c,b\",\"-a-b,c,b\",1\n15,5,5:a1,B 2 1 1,\"b,c,a\",\"c,a,b\",1\n16,5,5:a2,C 2 1 1,\"-b,a,c\",\"b,-a,c\",1\n17,5,5:a3,I 2 1 1,\"b,-a-c,c\",\"-b-c,a,c\",1\n18,6,6:b,P 1 m 1,\"a,b,c\",\"a,b,c\",0\n19,6,6:c,P 1 1 m,\"c,a,b\",\"b,c,a\",1\n20,6,6:a,P m 1 1,\"b,c,a\",\"c,a,b\",1\n21,7,7:b1,P 1 c 1,\"a,b,c\",\"a,b,c\",0\n22,7,7:b2,P 1 n 1,\"-a-c,b,a\",\"c,b,-a-c\",0\n23,7,7:b3,P 1 a 1,\"c,-b,a\",\"c,-b,a\",0\n24,7,7:c1,P 1 1 a,\"c,a,b\",\"b,c,a\",1\n25,7,7:c2,P 1 1 n,\"a,-a-c,b\",\"a,c,-a-b\",1\n26,7,7:c3,P 1 1 b,\"a,c,-b\",\"a,-c,b\",1\n27,7,7:a1,P b 1 1,\"b,c,a\",\"c,a,b\",1\n28,7,7:a2,P n 1 1,\"b,a,-a-c\",\"b,a,-b-c\",1\n29,7,7:a3,P c 1 1,\"-b,a,c\",\"b,-a,c\",1\n30,8,8:b1,C 1 m 1,\"a,b,c\",\"a,b,c\",0\n31,8,8:b2,A 1 m 1,\"c,-b,a\",\"c,-b,a\",0\n32,8,8:b3,I 1 m 1,\"c,b,-a-c\",\"-a-c,b,a\",0\n33,8,8:c1,A 1 1 m,\"c,a,b\",\"b,c,a\",1\n34,8,8:c2,B 1 1 m,\"a,c,-b\",\"a,-c,b\",1\n35,8,8:c3,I 1 1 m,\"-a-c,c,b\",\"-a-b,c,b\",1\n36,8,8:a1,B m 1 1,\"b,c,a\",\"c,a,b\",1\n37,8,8:a2,C m 1 1,\"-b,a,c\",\"b,-a,c\",1\n38,8,8:a3,I m 1 1,\"b,-a-c,c\",\"-b-c,a,c\",1\n39,9,9:b1,C 1 c 1,\"a,b,c\",\"a,b,c\",0\n40,9,9:b2,A 1 n 1,\"-a-c,b,a\",\"c,b,-a-c\",0\n41,9,9:b3,I 1 a 1,\"c,b,-a-c\",\"-a-c,b,a\",0\n42,9,9:-b1,A 1 a 1,\"c,-b,a\",\"c,-b,a\",0\n43,9,9:-b2,C 1 n 1,\"a,-b,-a-c\",\"a,-b,-a-c\",0\n44,9,9:-b3,I 1 c 1,\"-a-c,-b,c\",\"-a-c,-b,c\",0\n45,9,9:c1,A 1 1 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m:2,\"a,b,c\",\"a,b,c\",0\n523,225,225,F m -3 m,\"a,b,c\",\"a,b,c\",0\n524,226,226,F m -3 c,\"a,b,c\",\"a,b,c\",0\n525,227,227:1,F d -3 m:1,\"a-1/8,b-1/8,c-1/8\",\"a+1/8,b+1/8,c+1/8\",0\n526,227,227:2,F d -3 m:2,\"a,b,c\",\"a,b,c\",0\n527,228,228:1,F d -3 c:1,\"a-3/8,b-3/8,c-3/8\",\"a+3/8,b+3/8,c+3/8\",0\n528,228,228:2,F d -3 c:2,\"a,b,c\",\"a,b,c\",0\n529,229,229,I m -3 m,\"a,b,c\",\"a,b,c\",0\n530,230,230,I a -3 d,\"a,b,c\",\"a,b,c\",0\n"
  },
  {
    "path": "pyxtal/database/__init__.py",
    "content": ""
  },
  {
    "path": "pyxtal/database/asymmetric_unit.txt",
    "content": "1    :           0   ≤ x ≤   1    ;      0   ≤ y ≤   1   ;       0   ≤ z ≤   1\n2    :           0   ≤ x ≤   1/2  ;      0   ≤ y ≤   1   ;       0   ≤ z ≤   1\n3    :           0   ≤ x ≤   1    ;      0   ≤ y ≤   1   ;       0   ≤ z ≤   1/2\n4    :           0   ≤ x ≤   1    ;      0   ≤ y ≤   1   ;       0   ≤ z ≤   1/2\n5    :           0   ≤ x ≤   1/2  ;      0   ≤ y ≤   1/2 ;       0   ≤ z ≤   1\n6    :           0   ≤ x ≤   1    ;      0   ≤ y ≤   1/2 ;       0   ≤ z ≤   1\n7    :           0   ≤ x ≤   1    ;      0   ≤ y ≤   1/2 ;       0   ≤ z ≤   1\n8    :           0   ≤ x ≤   1    ;      0   ≤ y ≤   1/4 ;       0   ≤ z ≤   1\n9    :           0   ≤ x ≤   1    ;      0   ≤ y ≤   1/4 ;       0   ≤ z ≤   1\n10   :           0   ≤ x ≤   1/2  ;      0   ≤ y ≤   1/2 ;       0   ≤ z ≤   1\n11   :           0   ≤ x ≤   1    ;      0   ≤ y ≤   1/4 ;       0   ≤ z ≤   1\n12   :           0   ≤ x ≤   1/2  ;      0   ≤ y ≤   1/4 ;       0   ≤ z ≤   1\n13   :           0   ≤ x ≤   1/2  ;      0   ≤ y ≤   1   ;       0   ≤ z ≤   1/2\n14   :           0   ≤ x ≤   1    ;      0   ≤ y ≤   1/4 ;       0   ≤ z ≤   1\n15   :           0   ≤ x ≤   1/2  ;      0   ≤ y ≤   1/2 ;       0   ≤ z ≤   1/2\n16   :           0   ≤ x ≤   1/2  ;      0   ≤ y ≤   1/2 ;       0   ≤ z ≤   1\n17   :           0   ≤ x ≤   1/2  ;      0   ≤ y ≤   1/2 ;       0   ≤ z ≤   1\n18   :           0   ≤ x ≤   1/2  ;      0   ≤ y ≤   1/2 ;       0   ≤ z ≤   1\n19   :           0   ≤ x ≤   1/2  ;      0   ≤ y ≤   1/2 ;       0   ≤ z ≤   1\n20   :           0   ≤ x ≤   1/2  ;      0   ≤ y ≤   1/2 ;       0   ≤ z ≤   1/2\n21   :           0   ≤ x ≤   1/4  ;      0   ≤ y ≤   1/2 ;       0   ≤ z ≤   1\n22   :           0   ≤ x ≤   1/4  ;      0   ≤ y ≤   1/4 ;       0   ≤ z ≤   1\n23   :           0   ≤ x ≤   1/2  ;      0   ≤ y ≤   1/2 ;       0   ≤ z ≤   1/2\n24   :           0   ≤ x ≤   1/2  ;      0   ≤ y ≤   1/2 ;       0   ≤ z ≤   1/2\n25   :           0   ≤ x ≤   1/2  ;      0   ≤ y ≤   1/2 ;       0   ≤ z ≤   1\n26   :           0   ≤ x ≤   1/2  ;      0   ≤ y ≤   1/2 ;       0   ≤ z ≤   1\n27   :           0   ≤ x ≤   1/2  ;      0   ≤ y ≤   1/2 ;       0   ≤ z ≤   1\n28   :           0   ≤ x ≤   1/4  ;      0   ≤ y ≤   1   ;       0   ≤ z ≤   1\n29   :           0   ≤ x ≤   1/4  ;      0   ≤ y ≤   1   ;       0   ≤ z ≤   1\n30   :           0   ≤ x ≤   1/2  ;      0   ≤ y ≤   1   ;       0   ≤ z ≤   1/2\n31   :           0   ≤ x ≤   1/2  ;      0   ≤ y ≤   1/2 ;       0   ≤ z ≤   1\n32   :           0   ≤ x ≤   1/2  ;      0   ≤ y ≤   1/2 ;       0   ≤ z ≤   1\n33   :           0   ≤ x ≤   1/2  ;      0   ≤ y ≤   1/2 ;       0   ≤ z ≤   1\n34   :           0   ≤ x ≤   1/2  ;      0   ≤ y ≤   1/2 ;       0   ≤ z ≤   1\n35   :           0   ≤ x ≤   1/4  ;      0   ≤ y ≤   1/2 ;       0   ≤ z ≤   1\n36   :           0   ≤ x ≤   1/2  ;      0   ≤ y ≤   1/2 ;       0   ≤ z ≤   1/2\n37   :           0   ≤ x ≤   1/4  ;      0   ≤ y ≤   1/2 ;       0   ≤ z ≤   1\n38   :           0   ≤ x ≤   1/2  ;      0   ≤ y ≤   1/2 ;       0   ≤ z ≤   1/2\n39   :           0   ≤ x ≤   1/2  ;      0   ≤ y ≤   1/4 ;       0   ≤ z ≤   1\n40   :           0   ≤ x ≤   1/4  ;      0   ≤ y ≤   1/2 ;       0   ≤ z ≤   1\n41   :           0   ≤ x ≤   1/2  ;      0   ≤ y ≤   1/2 ;       0   ≤ z ≤   1/2\n42   :           0   ≤ x ≤   1/4  ;      0   ≤ y ≤   1/4 ;       0   ≤ z ≤   1\n43   :           0   ≤ x ≤   1/4  ;      0   ≤ y ≤   1/4 ;       0   ≤ z ≤   1\n44   :           0   ≤ x ≤   1/2  ;      0   ≤ y ≤   1/2 ;       0   ≤ z ≤   1/2\n45   :           0   ≤ x ≤   1/2  ;      0   ≤ y ≤   1/2 ;       0   ≤ z ≤   1/2\n46   :           0   ≤ x ≤   1/4  ;      0   ≤ y ≤   1   ;       0   ≤ z ≤   1/2\n47   :           0   ≤ x ≤   1/2  ;      0   ≤ y ≤   1/2 ;       0   ≤ z ≤   1/2\n48   :           0   ≤ x ≤   1/4  ;   −1/4   ≤ y ≤   1/4 ;       0   ≤ z ≤   1\n49   :           0   ≤ x ≤   1/2  ;      0   ≤ y ≤   1/2 ;       0   ≤ z ≤   1/2\n50   :           0   ≤ x ≤   1/4  ;      0   ≤ y ≤   1   ;       0   ≤ z ≤   1/2\n51   :           0   ≤ x ≤   1/4  ;      0   ≤ y ≤   1/2 ;       0   ≤ z ≤   1\n52   :           0   ≤ x ≤   1    ;      0   ≤ y ≤   1/4 ;       0   ≤ z ≤   1/2\n53   :           0   ≤ x ≤   1/2  ;      0   ≤ y ≤   1   ;       0   ≤ z ≤   1/4\n54   :           0   ≤ x ≤   1/2  ;      0   ≤ y ≤   1/2 ;       0   ≤ z ≤   1/2\n55   :           0   ≤ x ≤   1/2  ;      0   ≤ y ≤   1/2 ;       0   ≤ z ≤   1/2\n56   :           0   ≤ x ≤   1/4  ;      0   ≤ y ≤   1   ;       0   ≤ z ≤   1/2\n57   :           0   ≤ x ≤   1/2  ;      0   ≤ y ≤   1   ;       0   ≤ z ≤   1/4\n58   :           0   ≤ x ≤   1/2  ;      0   ≤ y ≤   1/2 ;       0   ≤ z ≤   1/2\n59   :           0   ≤ x ≤   1/4  ;   −1/4   ≤ y ≤   1/4 ;       0   ≤ z ≤   1\n60   :           0   ≤ x ≤   1/2  ;      0   ≤ y ≤   1/2 ;       0   ≤ z ≤   1/2\n61   :           0   ≤ x ≤   1/2  ;      0   ≤ y ≤   1/2 ;       0   ≤ z ≤   1/2\n62   :           0   ≤ x ≤   1/2  ;      0   ≤ y ≤   1/4 ;       0   ≤ z ≤   1\n63   :           0   ≤ x ≤   1/2  ;      0   ≤ y ≤   1/2 ;       0   ≤ z ≤   1/4\n64   :           0   ≤ x ≤   1/4  ;      0   ≤ y ≤   1/2 ;       0   ≤ z ≤   1/2\n65   :           0   ≤ x ≤   1/4  ;      0   ≤ y ≤   1/2 ;       0   ≤ z ≤   1/2\n66   :           0   ≤ x ≤   1/4  ;      0   ≤ y ≤   1/2 ;       0   ≤ z ≤   1/2\n67   :           0   ≤ x ≤   1/2  ;      0   ≤ y ≤   1/4 ;       0   ≤ z ≤   1/2\n68   :           0   ≤ x ≤   1/2  ;      0   ≤ y ≤   1/4 ;       0   ≤ z ≤   1/2\n69   :           0   ≤ x ≤   1/4  ;      0   ≤ y ≤   1/4 ;       0   ≤ z ≤   1/2\n70   :           0   ≤ x ≤   1/8  ;   −1/8   ≤ y ≤   1/8 ;       0   ≤ z ≤   1\n71   :           0   ≤ x ≤   1/4  ;      0   ≤ y ≤   1/2 ;       0   ≤ z ≤   1/2\n72   :           0   ≤ x ≤   1/4  ;      0   ≤ y ≤   1/2 ;       0   ≤ z ≤   1/2\n73   :           0   ≤ x ≤   1/4  ;      0   ≤ y ≤   1/2 ;       0   ≤ z ≤   1/2\n74   :           0   ≤ x ≤   1/4  ;      0   ≤ y ≤   1/4 ;       0   ≤ z ≤   1\n75   :           0   ≤ x ≤   1/2  ;      0   ≤ y ≤   1/2 ;       0   ≤ z ≤   1\n76   :           0   ≤ x ≤   1/2  ;      0   ≤ y ≤   1/2 ;       0   ≤ z ≤   1\n77   :           0   ≤ x ≤   1/2  ;      0   ≤ y ≤   1/2 ;       0   ≤ z ≤   1\n78   :           0   ≤ x ≤   1/2  ;      0   ≤ y ≤   1/2 ;       0   ≤ z ≤   1\n79   :           0   ≤ x ≤   1/2  ;      0   ≤ y ≤   1/2 ;       0   ≤ z ≤   1/2\n80   :           0   ≤ x ≤   1/2  ;      0   ≤ y ≤   1   ;       0   ≤ z ≤   1/4\n81   :           0   ≤ x ≤   1/2  ;      0   ≤ y ≤   1/2 ;       0   ≤ z ≤   1\n82   :           0   ≤ x ≤   1/2  ;      0   ≤ y ≤   1/2 ;       0   ≤ z ≤   1/2\n83   :           0   ≤ x ≤   1/2  ;      0   ≤ y ≤   1/2 ;       0   ≤ z ≤   1/2\n84   :           0   ≤ x ≤   1/2  ;      0   ≤ y ≤   1/2 ;       0   ≤ z ≤   1/2\n85   :        −1/4   ≤ x ≤   1/4  ;   −1/4   ≤ y ≤   1/4 ;       0   ≤ z ≤   1/2\n86   :        −1/4   ≤ x ≤   1/4  ;   −1/4   ≤ y ≤   1/4 ;       0   ≤ z ≤   1/2\n87   :           0   ≤ x ≤   1/2  ;      0   ≤ y ≤   1/2 ;       0   ≤ z ≤   1/4\n88   :           0   ≤ x ≤   1/4  ;      0   ≤ y ≤   1/4 ;       0   ≤ z ≤   1\n89   :           0   ≤ x ≤   1/2  ;      0   ≤ y ≤   1/2 ;       0   ≤ z ≤   1/2\n90   :           0   ≤ x ≤   1/2  ;      0   ≤ y ≤   1/2 ;       0   ≤ z ≤   1/2\n91   :           0   ≤ x ≤   1    ;      0   ≤ y ≤   1   ;       0   ≤ z ≤   1/8\n92   :           0   ≤ x ≤   1    ;      0   ≤ y ≤   1   ;       0   ≤ z ≤   1/8\n93   :           0   ≤ x ≤   1/2  ;      0   ≤ y ≤   1   ;       0   ≤ z ≤   1/4\n94   :           0   ≤ x ≤   1/2  ;      0   ≤ y ≤   1/2 ;       0   ≤ z ≤   1/2\n95   :           0   ≤ x ≤   1    ;      0   ≤ y ≤   1   ;       0   ≤ z ≤   1/8\n96   :           0   ≤ x ≤   1    ;      0   ≤ y ≤   1   ;       0   ≤ z ≤   1/8\n97   :           0   ≤ x ≤   1/2  ;      0   ≤ y ≤   1/2 ;       0   ≤ z ≤   1/4\n98   :           0   ≤ x ≤   1/2  ;      0   ≤ y ≤   1   ;       0   ≤ z ≤   1/8\n99   :           0   ≤ x ≤   1/2  ;      0   ≤ y ≤   1/2 ;       0   ≤ z ≤   1\n100  :           0   ≤ x ≤   1/2  ;      0   ≤ y ≤   1/2 ;       0   ≤ z ≤   1\n101  :           0   ≤ x ≤   1/2  ;      0   ≤ y ≤   1/2 ;       0   ≤ z ≤   1\n102  :           0   ≤ x ≤   1/2  ;      0   ≤ y ≤   1/2 ;       0   ≤ z ≤   1\n103  :           0   ≤ x ≤   1/2  ;      0   ≤ y ≤   1/2 ;       0   ≤ z ≤   1/2\n104  :           0   ≤ x ≤   1/2  ;      0   ≤ y ≤   1/2 ;       0   ≤ z ≤   1/2\n105  :           0   ≤ x ≤   1/2  ;      0   ≤ y ≤   1/2 ;       0   ≤ z ≤   1/2\n106  :           0   ≤ x ≤   1/2  ;      0   ≤ y ≤   1/2 ;       0   ≤ z ≤   1/2\n107  :           0   ≤ x ≤   1/2  ;      0   ≤ y ≤   1/2 ;       0   ≤ z ≤   1/2\n108  :           0   ≤ x ≤   1/2  ;      0   ≤ y ≤   1/2 ;       0   ≤ z ≤   1/2\n109  :           0   ≤ x ≤   1/2  ;      0   ≤ y ≤   1/2 ;       0   ≤ z ≤   1/4\n110  :           0   ≤ x ≤   1/2  ;      0   ≤ y ≤   1/2 ;       0   ≤ z ≤   1/4\n111  :           0   ≤ x ≤   1/2  ;      0   ≤ y ≤   1/2 ;       0   ≤ z ≤   1\n112  :           0   ≤ x ≤   1/2  ;      0   ≤ y ≤   1/2 ;       0   ≤ z ≤   1/2\n113  :           0   ≤ x ≤   1/2  ;      0   ≤ y ≤   1/2 ;       0   ≤ z ≤   1\n114  :           0   ≤ x ≤   1/2  ;      0   ≤ y ≤   1/2 ;       0   ≤ z ≤   1/2\n115  :           0   ≤ x ≤   1/2  ;      0   ≤ y ≤   1/2 ;       0   ≤ z ≤   1/2\n116  :           0   ≤ x ≤   1/2  ;      0   ≤ y ≤   1   ;       0   ≤ z ≤   1/4\n117  :           0   ≤ x ≤   1/2  ;      0   ≤ y ≤   1/2 ;       0   ≤ z ≤   1/2\n118  :           0   ≤ x ≤   1/2  ;      0   ≤ y ≤   1   ;       0   ≤ z ≤   1/4\n119  :           0   ≤ x ≤   1/2  ;      0   ≤ y ≤   1/2 ;       0   ≤ z ≤   1/4\n120  :           0   ≤ x ≤   1/2  ;      0   ≤ y ≤   1/2 ;       0   ≤ z ≤   1/4\n121  :           0   ≤ x ≤   1/2  ;      0   ≤ y ≤   1/2 ;       0   ≤ z ≤   1/2\n122  :           0   ≤ x ≤   1/2  ;      0   ≤ y ≤   1   ;       0   ≤ z ≤   1/8\n123  :           0   ≤ x ≤   1/2  ;      0   ≤ y ≤   1/2 ;       0   ≤ z ≤   1/2\n124  :           0   ≤ x ≤   1/2  ;      0   ≤ y ≤   1/2 ;       0   ≤ z ≤   1/4\n125  :        −1/4   ≤ x ≤   1/4  ;   −1/4   ≤ y ≤   1/4 ;       0   ≤ z ≤   1/2\n126  :        −1/4   ≤ x ≤   1/4  ;   −1/4   ≤ y ≤   1/4 ;       0   ≤ z ≤   1/4\n127  :           0   ≤ x ≤   1/2  ;      0   ≤ y ≤   1/2 ;       0   ≤ z ≤   1/2\n128  :           0   ≤ x ≤   1/2  ;      0   ≤ y ≤   1/2 ;       0   ≤ z ≤   1/4\n129  :        −1/4   ≤ x ≤   1/4  ;   −1/4   ≤ y ≤   1/4 ;       0   ≤ z ≤   1/2\n130  :        −1/4   ≤ x ≤   1/4  ;   −1/4   ≤ y ≤   1/4 ;       0   ≤ z ≤   1/4\n131  :           0   ≤ x ≤   1/2  ;      0   ≤ y ≤   1/2 ;       0   ≤ z ≤   1/4\n132  :           0   ≤ x ≤   1/2  ;      0   ≤ y ≤   1/2 ;       0   ≤ z ≤   1/2\n133  :        −1/4   ≤ x ≤   1/4  ;   −1/4   ≤ y ≤   1/4 ;       0   ≤ z ≤   1/4\n134  :        −1/4   ≤ x ≤   1/4  ;   −1/4   ≤ y ≤   1/4 ;       0   ≤ z ≤   1/2\n135  :           0   ≤ x ≤   1/2  ;      0   ≤ y ≤   1/2 ;       0   ≤ z ≤   1/4\n136  :           0   ≤ x ≤   1/2  ;      0   ≤ y ≤   1/2 ;       0   ≤ z ≤   1/2\n137  :        −1/4   ≤ x ≤   1/4  ;   −1/4   ≤ y ≤   1/4 ;       0   ≤ z ≤   1/4\n138  :        −1/4   ≤ x ≤   1/4  ;   −1/4   ≤ y ≤   1/4 ;       0   ≤ z ≤   1/2\n139  :           0   ≤ x ≤   1/2  ;      0   ≤ y ≤   1/2 ;       0   ≤ z ≤   1/4\n140  :           0   ≤ x ≤   1/2  ;      0   ≤ y ≤   1/2 ;       0   ≤ z ≤   1/4\n141  :           0   ≤ x ≤   1/2  ;   −1/4   ≤ y ≤   1/4 ;       0   ≤ z ≤   1/8\n142  :           0   ≤ x ≤   1/2  ;   −1/4   ≤ y ≤   1/4 ;       0   ≤ z ≤   1/8\n143  :           0   ≤ x ≤   2/3  ;      0   ≤ y ≤   2/3 ;       0   ≤ z ≤   1\n144  :           0   ≤ x ≤   1    ;      0   ≤ y ≤   1   ;       0   ≤ z ≤   1/3\n145  :           0   ≤ x ≤   1    ;      0   ≤ y ≤   1   ;       0   ≤ z ≤   1/3\n146  :           0   ≤ x ≤   2/3  ;      0   ≤ y ≤   2/3 ;       0   ≤ z ≤   1/3\n147  :           0   ≤ x ≤   2/3  ;      0   ≤ y ≤   2/3 ;       0   ≤ z ≤   1/2\n148  :           0   ≤ x ≤   2/3  ;      0   ≤ y ≤   2/3 ;       0   ≤ z ≤   1/6\n149  :           0   ≤ x ≤   2/3  ;      0   ≤ y ≤   2/3 ;       0   ≤ z ≤   1/2\n150  :           0   ≤ x ≤   2/3  ;      0   ≤ y ≤   2/3 ;       0   ≤ z ≤   1/2\n151  :           0   ≤ x ≤   1    ;      0   ≤ y ≤   1   ;       0   ≤ z ≤   1/6\n152  :           0   ≤ x ≤   1    ;      0   ≤ y ≤   1   ;       0   ≤ z ≤   1/6\n153  :           0   ≤ x ≤   1    ;      0   ≤ y ≤   1   ;       0   ≤ z ≤   1/6\n154  :           0   ≤ x ≤   1    ;      0   ≤ y ≤   1   ;       0   ≤ z ≤   1/6\n155  :           0   ≤ x ≤   2/3  ;      0   ≤ y ≤   2/3 ;       0   ≤ z ≤   1/6\n156  :           0   ≤ x ≤   2/3  ;      0   ≤ y ≤   2/3 ;       0   ≤ z ≤   1\n157  :           0   ≤ x ≤   2/3  ;      0   ≤ y ≤   1/2 ;       0   ≤ z ≤   1\n158  :           0   ≤ x ≤   2/3  ;      0   ≤ y ≤   2/3 ;       0   ≤ z ≤   1/2\n159  :           0   ≤ x ≤   2/3  ;      0   ≤ y ≤   2/3 ;       0   ≤ z ≤   1/2\n160  :           0   ≤ x ≤   2/3  ;      0   ≤ y ≤   2/3 ;       0   ≤ z ≤   1/3\n161  :           0   ≤ x ≤   2/3  ;      0   ≤ y ≤   2/3 ;       0   ≤ z ≤   1/6\n162  :           0   ≤ x ≤   2/3  ;      0   ≤ y ≤   1/2 ;       0   ≤ z ≤   1/2\n163  :           0   ≤ x ≤   2/3  ;      0   ≤ y ≤   2/3 ;       0   ≤ z ≤   1/4\n164  :           0   ≤ x ≤   2/3  ;      0   ≤ y ≤   1/3 ;       0   ≤ z ≤   1\n165  :           0   ≤ x ≤   2/3  ;      0   ≤ y ≤   2/3 ;       0   ≤ z ≤   1/4\n166  :           0   ≤ x ≤   2/3  ;      0   ≤ y ≤   2/3 ;       0   ≤ z ≤   1/6\n167  :           0   ≤ x ≤   2/3  ;      0   ≤ y ≤   2/3 ;       0   ≤ z ≤   1/12\n168  :           0   ≤ x ≤   2/3  ;      0   ≤ y ≤   1/2 ;       0   ≤ z ≤   1\n169  :           0   ≤ x ≤   1    ;      0   ≤ y ≤   1   ;       0   ≤ z ≤   1/6\n170  :           0   ≤ x ≤   1    ;      0   ≤ y ≤   1   ;       0   ≤ z ≤   1/6\n171  :           0   ≤ x ≤   1    ;      0   ≤ y ≤   1   ;       0   ≤ z ≤   1/3\n172  :           0   ≤ x ≤   1    ;      0   ≤ y ≤   1   ;       0   ≤ z ≤   1/3\n173  :           0   ≤ x ≤   2/3  ;      0   ≤ y ≤   2/3 ;       0   ≤ z ≤   1/2\n174  :           0   ≤ x ≤   2/3  ;      0   ≤ y ≤   2/3 ;       0   ≤ z ≤   1/2\n175  :           0   ≤ x ≤   2/3  ;      0   ≤ y ≤   1/2 ;       0   ≤ z ≤   1/2\n176  :           0   ≤ x ≤   2/3  ;      0   ≤ y ≤   2/3 ;       0   ≤ z ≤   1/4\n177  :           0   ≤ x ≤   2/3  ;      0   ≤ y ≤   1/2 ;       0   ≤ z ≤   1/2\n178  :           0   ≤ x ≤   1    ;      0   ≤ y ≤   1   ;       0   ≤ z ≤   1/12\n179  :           0   ≤ x ≤   1    ;      0   ≤ y ≤   1   ;       0   ≤ z ≤   1/12\n180  :           0   ≤ x ≤   1    ;      0   ≤ y ≤   1   ;       0   ≤ z ≤   1/6\n181  :           0   ≤ x ≤   1    ;      0   ≤ y ≤   1   ;       0   ≤ z ≤   1/6\n182  :           0   ≤ x ≤   2/3  ;      0   ≤ y ≤   2/3 ;       0   ≤ z ≤   1/4\n183  :           0   ≤ x ≤   2/3  ;      0   ≤ y ≤   1/3 ;       0   ≤ z ≤   1\n184  :           0   ≤ x ≤   2/3  ;      0   ≤ y ≤   1/2 ;       0   ≤ z ≤   1/2\n185  :           0   ≤ x ≤   2/3  ;      0   ≤ y ≤   1/2 ;       0   ≤ z ≤   1/2\n186  :           0   ≤ x ≤   2/3  ;      0   ≤ y ≤   1/3 ;       0   ≤ z ≤   1\n187  :           0   ≤ x ≤   2/3  ;      0   ≤ y ≤   2 3 ;       0   ≤ z ≤   1/2\n188  :           0   ≤ x ≤   2/3  ;      0   ≤ y ≤   2 3 ;       0   ≤ z ≤   1/4\n189  :           0   ≤ x ≤   2/3  ;      0   ≤ y ≤   1/2 ;       0   ≤ z ≤   1/2\n190  :           0   ≤ x ≤   2/3  ;      0   ≤ y ≤   2 3 ;       0   ≤ z ≤   1/4\n191  :           0   ≤ x ≤   2/3  ;      0   ≤ y ≤   1/3 ;       0   ≤ z ≤   1/2\n192  :           0   ≤ x ≤   2/3  ;      0   ≤ y ≤   1/2 ;       0   ≤ z ≤   1/4\n193  :           0   ≤ x ≤   2/3  ;      0   ≤ y ≤   1/2 ;       0   ≤ z ≤   1/4\n194  :           0   ≤ x ≤   2/3  ;      0   ≤ y ≤   2 3 ;       0   ≤ z ≤   1/4\n195  :           0   ≤ x ≤   1    ;      0   ≤ y ≤   1   ;       0   ≤ z ≤   1/2\n196  :           0   ≤ x ≤   1/2  ;      0   ≤ y ≤   1/2 ;    −1/4   ≤ z ≤   1/4\n197  :           0   ≤ x ≤   1    ;      0   ≤ y ≤   1/2 ;       0   ≤ z ≤   1/2\n198  :           0   ≤ x ≤   1/2  ;      0   ≤ y ≤   1/2 ;    −1/2   ≤ z ≤   1/2\n199  :           0   ≤ x ≤   1/2  ;      0   ≤ y ≤   1/2 ;       0   ≤ z ≤   1/2\n200  :           0   ≤ x ≤   1/2  ;      0   ≤ y ≤   1/2 ;       0   ≤ z ≤   1/2\n201  :        −1/4   ≤ x ≤   3/4  ;   −1/4   ≤ y ≤   1/4 ;    −1/4   ≤ z ≤   1/4\n202  :           0   ≤ x ≤   1/2  ;      0   ≤ y ≤   1/2 ;       0   ≤ z ≤   1/4\n203  :        −1/8   ≤ x ≤   3/8  ;   −1/8   ≤ y ≤   1/8 ;    −3/8   ≤ z ≤   1/8\n204  :           0   ≤ x ≤   1/2  ;      0   ≤ y ≤   1/2 ;       0   ≤ z ≤   1/2\n205  :           0   ≤ x ≤   1/2  ;      0   ≤ y ≤   1/2 ;       0   ≤ z ≤   1/2\n206  :           0   ≤ x ≤   1/2  ;      0   ≤ y ≤   1/2 ;       0   ≤ z ≤   1/4\n207  :           0   ≤ x ≤   1    ;      0   ≤ y ≤   1/2 ;       0   ≤ z ≤   1/2\n208  :           0   ≤ x ≤   1/2  ;      0   ≤ y ≤   1/2 ;    −1/4   ≤ z ≤   1/4\n209  :           0   ≤ x ≤   1/2  ;      0   ≤ y ≤   1/4 ;    −1/4   ≤ z ≤   1/4\n210  :           0   ≤ x ≤   1/2  ;   −1/8   ≤ y ≤   1/8 ;    −1/8   ≤ z ≤   1/8\n211  :           0   ≤ x ≤   1/2  ;      0   ≤ y ≤   1/2 ;       0   ≤ z ≤   1/4\n212  :           0   ≤ x ≤   1/2  ;      0   ≤ y ≤   3 4 ;    −1/2   ≤ z ≤   1/4\n213  :        −1/4   ≤ x ≤   1/2  ;      0   ≤ y ≤   3 4 ;       0   ≤ z ≤   1/2\n214  :        −3/8   ≤ x ≤   1/8  ;   −1/8   ≤ y ≤   1/8 ;    −1/8   ≤ z ≤   3/8\n215  :           0   ≤ x ≤   1    ;      0   ≤ y ≤   1/2 ;       0   ≤ z ≤   1/2\n216  :           0   ≤ x ≤   1/2  ;      0   ≤ y ≤   1/4 ;    −1/4   ≤ z ≤   1/4\n217  :           0   ≤ x ≤   1/2  ;      0   ≤ y ≤   1/2 ;       0   ≤ z ≤   1/2\n218  :           0   ≤ x ≤   1/2  ;      0   ≤ y ≤   1/2 ;       0   ≤ z ≤   1/2\n219  :           0   ≤ x ≤   1/2  ;      0   ≤ y ≤   1/4 ;    −1/4   ≤ z ≤   1/4\n220  :         1/4   ≤ x ≤ 1/2    ;    1/4   ≤ y ≤   1/2 ;       0   ≤ z ≤   1/2\n221  :           0   ≤ x ≤ 1/2    ;      0   ≤ y ≤   1/2 ;       0   ≤ z ≤   1/2\n222  :         1/4   ≤ x ≤ 3/4    ;    1/4   ≤ y ≤   3 4 ;     1/4   ≤ z ≤   3/4\n223  :           0   ≤ x ≤ 1/2    ;      0   ≤ y ≤   1/2 ;       0   ≤ z ≤   1/4\n224  :         1/4   ≤ x ≤ 3 4    ;    1/4   ≤ y ≤   3 4 ;       0   ≤ z ≤   1/2\n225  :           0   ≤ x ≤ 1/2    ;      0   ≤ y ≤   1/4 ;       0   ≤ z ≤   1/4\n226  :           0   ≤ x ≤ 1/2    ;      0   ≤ y ≤   1/4 ;       0   ≤ z ≤   1/4\n227  :         −1/8  ≤ x ≤ 3/8    ;   −1/8   ≤ y ≤   0   ;    −1/4   ≤ z ≤   0\n228  :         −1/8  ≤ x ≤ 3/8    ;   −1/8   ≤ y ≤   0   ;    −1/4   ≤ z ≤   0\n229  :           0   ≤ x ≤ 1/2    ;      0   ≤ y ≤   1/2 ;       0   ≤ z ≤   1/4\n230  :         −1/8  ≤ x ≤ 1/8    ;   −1/8   ≤ y ≤   1/8 ;       0   ≤ z ≤   1/4\n"
  },
  {
    "path": "pyxtal/database/atomic_scattering_params.json",
    "content": "{\"Ru\": [[4.358, 27.881], [3.298, 5.179], [1.323, 0.594], [0, 0]], \"Re\": [[5.695, 28.968], [4.74, 5.156], [2.064, 0.575], [0, 0]], \"Ra\": [[6.215, 28.382], [5.17, 5.002], [2.316, 0.562], [0, 0]], \"Rb\": [[4.776, 140.782], [3.859, 18.991], [2.234, 3.701], [0.868, 0.419]], \"Rn\": [[4.078, 38.406], [4.978, 11.02], [3.096, 2.355], [1.326, 0.299]], \"Rh\": [[4.431, 27.911], [3.343, 5.153], [1.345, 0.592], [0, 0]], \"Be\": [[1.25, 60.804], [1.334, 18.591], [0.36, 3.653], [0.106, 0.416]], \"Ba\": [[7.821, 117.657], [6.004, 18.778], [3.28, 3.263], [1.103, 0.376]], \"Bi\": [[3.841, 50.261], [4.679, 11.999], [3.192, 2.56], [1.363, 0.318]], \"Bk\": [[6.502, 28.375], [5.478, 4.975], [2.51, 0.561], [0, 0]], \"Br\": [[2.166, 33.899], [2.904, 10.497], [1.395, 2.041], [0.589, 0.307]], \"H\": [[0.202, 30.868], [0.244, 8.544], [0.082, 1.273], [0, 0]], \"D\": [[0.202, 30.868], [0.244, 8.544], [0.082, 1.273], [0, 0]], \"P\": [[1.888, 44.876], [2.469, 13.538], [0.805, 2.642], [0.32, 0.361]], \"Os\": [[5.75, 28.933], [4.773, 5.139], [2.079, 0.573], [0, 0]], \"Ge\": [[2.447, 55.893], [2.702, 14.393], [1.616, 2.446], [0.601, 0.342]], \"Gd\": [[5.225, 29.158], [4.314, 5.259], [1.827, 0.586], [0, 0]], \"Ga\": [[2.321, 65.602], [2.486, 15.458], [1.688, 2.581], [0.599, 0.351]], \"Pr\": [[5.085, 28.588], [4.043, 5.143], [1.684, 0.581], [0, 0]], \"Pt\": [[5.803, 29.016], [4.87, 5.15], [2.127, 0.572], [0, 0]], \"Pu\": [[6.415, 28.836], [5.419, 5.022], [2.449, 0.561], [0, 0]], \"C\": [[0.731, 36.995], [1.195, 11.297], [0.456, 2.814], [0.125, 0.346]], \"Pb\": [[3.51, 52.914], [4.552, 11.884], [3.154, 2.571], [1.359, 0.321]], \"Pa\": [[6.306, 28.688], [5.303, 5.026], [2.386, 0.561], [0, 0]], \"Pd\": [[4.436, 28.67], [3.454, 5.269], [1.383, 0.595], [0, 0]], \"Cd\": [[2.574, 55.675], [3.259, 11.838], [2.547, 2.784], [0.838, 0.322]], \"Po\": [[6.07, 28.075], [4.997, 4.999], [2.232, 0.563], [0, 0]], \"Pm\": [[5.201, 28.079], [4.094, 5.081], [1.719, 0.576], [0, 0]], \"Ho\": [[5.376, 28.773], [4.403, 5.174], [1.884, 0.582], [0, 0]], \"Hf\": [[5.588, 29.001], [4.619, 5.164], [1.997, 0.579], [0, 0]], \"Hg\": [[2.682, 42.822], [4.241, 9.856], [2.755, 2.295], [1.27, 0.307]], \"He\": [[0.091, 18.183], [0.181, 6.212], [0.11, 1.803], [0.036, 0.284]], \"Mg\": [[2.268, 73.67], [1.803, 20.175], [0.839, 3.013], [0.289, 0.405]], \"K\": [[3.951, 137.075], [2.545, 22.402], [1.98, 4.532], [0.482, 0.434]], \"Mn\": [[2.747, 67.786], [2.456, 15.674], [1.792, 3.0], [0.498, 0.357]], \"O\": [[0.455, 23.78], [0.917, 7.622], [0.472, 2.144], [0.138, 0.296]], \"S\": [[1.659, 36.65], [2.386, 11.488], [0.79, 2.469], [0.321, 0.34]], \"W\": [[5.709, 28.782], [4.677, 5.084], [2.019, 0.572], [0, 0]], \"Zn\": [[1.942, 54.162], [1.95, 12.518], [1.619, 2.416], [0.543, 0.33]], \"Eu\": [[6.267, 100.298], [4.844, 16.066], [3.202, 2.98], [1.2, 0.367]], \"Zr\": [[4.105, 28.492], [3.144, 5.277], [1.229, 0.601], [0, 0]], \"Er\": [[5.436, 28.655], [4.437, 5.117], [1.891, 0.577], [0, 0]], \"Ni\": [[2.21, 58.727], [2.134, 13.553], [1.689, 2.609], [0.524, 0.339]], \"Na\": [[2.241, 108.004], [1.333, 24.505], [0.907, 3.391], [0.286, 0.435]], \"Nb\": [[4.237, 27.415], [3.105, 5.074], [1.234, 0.593], [0, 0]], \"Nd\": [[5.151, 28.304], [4.075, 5.073], [1.683, 0.571], [0, 0]], \"Ne\": [[0.303, 17.64], [0.72, 5.86], [0.475, 1.762], [0.153, 0.266]], \"Np\": [[6.323, 29.142], [5.414, 5.096], [2.453, 0.568], [0, 0]], \"Fr\": [[6.201, 28.2], [5.121, 4.954], [2.275, 0.556], [0, 0]], \"Fe\": [[2.544, 64.424], [2.343, 14.88], [1.759, 2.854], [0.506, 0.35]], \"B\": [[0.945, 46.444], [1.312, 14.178], [0.419, 3.223], [0.116, 0.377]], \"F\": [[0.387, 20.239], [0.811, 6.609], [0.475, 1.931], [0.146, 0.279]], \"Sr\": [[5.848, 104.972], [4.003, 19.367], [2.342, 3.737], [0.88, 0.414]], \"N\": [[0.572, 28.847], [1.043, 9.054], [0.465, 2.421], [0.131, 0.317]], \"Kr\": [[2.034, 29.999], [2.927, 9.598], [1.342, 1.952], [0.589, 0.299]], \"Si\": [[2.129, 57.775], [2.533, 16.476], [0.835, 2.88], [0.322, 0.386]], \"Sn\": [[3.45, 59.104], [3.735, 14.179], [2.118, 2.855], [0.877, 0.327]], \"Sm\": [[5.255, 28.016], [4.113, 5.037], [1.743, 0.577], [0, 0]], \"V\": [[3.245, 76.379], [2.698, 17.726], [1.86, 3.363], [0.486, 0.374]], \"Sc\": [[3.966, 88.96], [2.917, 20.606], [1.925, 3.856], [0.48, 0.399]], \"Sb\": [[3.564, 50.487], [3.844, 13.316], [2.687, 2.691], [0.864, 0.316]], \"Se\": [[2.298, 38.83], [2.854, 11.536], [1.456, 2.146], [0.59, 0.316]], \"Co\": [[2.367, 61.431], [2.236, 14.18], [1.724, 2.725], [0.515, 0.344]], \"Cm\": [[6.46, 28.396], [5.469, 4.97], [2.471, 0.554], [0, 0]], \"Cl\": [[1.452, 30.935], [2.292, 9.98], [0.787, 2.234], [0.322, 0.323]], \"Ca\": [[4.47, 99.523], [2.971, 22.696], [1.97, 4.195], [0.482, 0.417]], \"Cf\": [[6.548, 28.461], [5.526, 4.965], [2.52, 0.557], [0, 0]], \"Ce\": [[5.007, 28.283], [3.98, 5.183], [1.678, 0.589], [0, 0]], \"Xe\": [[3.366, 35.509], [4.147, 11.117], [2.443, 2.294], [0.829, 0.289]], \"Tm\": [[5.441, 29.149], [4.51, 5.264], [1.956, 0.59], [0, 0]], \"Cs\": [[6.062, 155.837], [5.986, 19.695], [3.303, 3.335], [1.096, 0.379]], \"Cr\": [[2.307, 78.405], [2.334, 15.785], [1.823, 3.157], [0.49, 0.364]], \"Cu\": [[1.579, 62.94], [1.82, 12.453], [1.658, 2.504], [0.532, 0.333]], \"La\": [[4.94, 28.716], [3.968, 5.245], [1.663, 0.594], [0, 0]], \"Li\": [[1.611, 107.638], [1.246, 30.48], [0.326, 4.533], [0.099, 0.495]], \"Tl\": [[5.932, 29.086], [4.972, 5.126], [2.195, 0.572], [0, 0]], \"Lu\": [[5.553, 28.907], [4.58, 5.16], [1.969, 0.577], [0, 0]], \"Th\": [[6.264, 28.651], [5.263, 5.03], [2.367, 0.563], [0, 0]], \"Ti\": [[3.565, 81.982], [2.818, 19.049], [1.893, 3.59], [0.483, 0.386]], \"Te\": [[4.785, 27.999], [3.688, 5.083], [1.5, 0.581], [0, 0]], \"Tb\": [[5.272, 29.046], [4.347, 5.226], [1.844, 0.585], [0, 0]], \"Tc\": [[4.318, 28.246], [3.27, 5.148], [1.287, 0.59], [0, 0]], \"Ta\": [[5.659, 28.807], [4.63, 5.114], [2.014, 0.578], [0, 0]], \"Yb\": [[5.529, 28.927], [4.533, 5.144], [1.945, 0.578], [0, 0]], \"Dy\": [[5.332, 28.888], [4.37, 5.198], [1.863, 0.581], [0, 0]], \"I\": [[3.473, 39.441], [4.06, 11.816], [2.522, 2.415], [0.84, 0.298]], \"U\": [[6.767, 85.951], [6.729, 15.642], [4.014, 2.936], [1.561, 0.335]], \"Y\": [[4.129, 27.548], [3.012, 5.088], [1.179, 0.591], [0, 0]], \"Ac\": [[6.278, 28.323], [5.195, 4.949], [2.321, 0.557], [0, 0]], \"Ag\": [[2.036, 61.497], [3.272, 11.824], [2.511, 2.846], [0.837, 0.327]], \"Ir\": [[5.754, 29.159], [4.851, 5.152], [2.096, 0.57], [0, 0]], \"Am\": [[6.378, 29.156], [5.495, 5.102], [2.495, 0.565], [0, 0]], \"Al\": [[2.276, 72.322], [2.428, 19.773], [0.858, 3.08], [0.317, 0.408]], \"As\": [[2.399, 45.718], [2.79, 12.817], [1.529, 2.28], [0.594, 0.328]], \"Ar\": [[1.274, 26.682], [2.19, 8.813], [0.793, 2.219], [0.326, 0.307]], \"Au\": [[2.388, 42.866], [4.226, 9.743], [2.689, 2.264], [1.255, 0.307]], \"At\": [[6.133, 28.047], [5.031, 4.957], [2.239, 0.558], [0, 0]], \"In\": [[3.153, 66.649], [3.557, 14.449], [2.818, 2.976], [0.884, 0.335]], \"Mo\": [[3.12, 72.464], [3.906, 14.642], [2.361, 3.237], [0.85, 0.366]]}"
  },
  {
    "path": "pyxtal/database/bonds.json",
    "content": "{\n    \"C-C\": 1.89,\n    \"C-H\": 1.32,\n    \"C-O\": 1.60,\n    \"C-N\": 1.80,\n    \"C-S\": 2.00,\n    \"C-P\": 1.95,\n    \"C-Si\": 2.00,\n    \"C-F\": 1.45,\n    \"C-Cl\": 1.90,\n    \"C-Br\": 2.10,\n    \"C-I\": 2.30,\n    \"H-C\": 1.32,\n    \"H-H\": 0.80,\n    \"H-O\": 1.15,\n    \"H-N\": 1.22,\n    \"H-S\": 1.70,\n    \"H-P\": 1.50,\n    \"H-Si\": 1.50,\n    \"H-F\": 0.90,\n    \"H-Cl\": 1.40,\n    \"H-Br\": 1.60,\n    \"H-I\": 1.80,\n    \"O-C\": 1.60,\n    \"O-H\": 1.15,\n    \"O-O\": 1.50,\n    \"O-N\": 1.55,\n    \"O-S\": 2.00,\n    \"O-P\": 1.90,\n    \"O-Si\": 2.00,\n    \"O-F\": 1.40,\n    \"O-Cl\": 1.80,\n    \"O-Br\": 2.00,\n    \"O-I\": 2.30,\n    \"N-C\": 1.80,\n    \"N-H\": 1.22,\n    \"N-O\": 1.55,\n    \"N-N\": 1.56,\n    \"N-S\": 2.05,\n    \"N-P\": 1.95,\n    \"N-Si\": 1.95,\n    \"N-F\": 1.35,\n    \"N-Cl\": 1.8,\n    \"N-Br\": 1.98,\n    \"N-I\": 2.17,\n    \"S-C\": 2.00,\n    \"S-H\": 1.79,\n    \"S-O\": 2.00,\n    \"S-N\": 2.05,\n    \"S-S\": 2.5,\n    \"S-P\": 2.32,\n    \"S-Si\": 2.36,\n    \"S-F\": 1.82,\n    \"S-Cl\": 2.27,\n    \"S-Br\": 2.45,\n    \"S-I\": 2.64,\n    \"P-C\": 1.95,\n    \"P-H\": 1.50,\n    \"P-O\": 1.90,\n    \"P-N\": 1.95,\n    \"P-S\": 2.32,\n    \"P-P\": 2.64,\n    \"P-Si\": 2.18,\n    \"P-F\": 1.64,\n    \"P-Cl\": 2.09,\n    \"P-Br\": 2.27,\n    \"P-I\": 2.46,\n    \"Si-C\": 2.00,\n    \"Si-H\": 1.50,\n    \"Si-O\": 2.00,\n    \"Si-N\": 1.95,\n    \"Si-S\": 2.36,\n    \"Si-P\": 2.18,\n    \"Si-Si\": 2.22,\n    \"Si-F\": 1.68,\n    \"Si-Cl\": 2.13,\n    \"Si-Br\": 2.31,\n    \"Si-I\": 2.5,\n    \"F-C\": 1.45,\n    \"F-H\": 0.90,\n    \"F-O\": 1.40,\n    \"F-N\": 1.35,\n    \"F-S\": 1.82,\n    \"F-P\": 1.64,\n    \"F-Si\": 1.68,\n    \"F-F\": 1.14,\n    \"F-Cl\": 1.59,\n    \"F-Br\": 1.77,\n    \"F-I\": 1.96,\n    \"Cl-C\": 1.90,\n    \"Cl-H\": 1.40,\n    \"Cl-O\": 1.80,\n    \"Cl-N\": 1.8,\n    \"Cl-S\": 2.27,\n    \"Cl-P\": 2.09,\n    \"Cl-Si\": 2.13,\n    \"Cl-F\": 1.59,\n    \"Cl-Cl\": 2.04,\n    \"Cl-Br\": 2.22,\n    \"Cl-I\": 2.41,\n    \"Br-C\": 2.10,\n    \"Br-H\": 1.60,\n    \"Br-O\": 2.00,\n    \"Br-N\": 1.98,\n    \"Br-S\": 2.45,\n    \"Br-P\": 2.27,\n    \"Br-Si\": 2.31,\n    \"Br-F\": 1.77,\n    \"Br-Cl\": 2.22,\n    \"Br-Br\": 2.4,\n    \"Br-I\": 2.59,\n    \"I-C\": 2.30,\n    \"I-H\": 1.80,\n    \"I-O\": 2.30,\n    \"I-N\": 2.17,\n    \"I-S\": 2.64,\n    \"I-P\": 2.46,\n    \"I-Si\": 2.5,\n    \"I-F\": 1.96,\n    \"I-Cl\": 2.41,\n    \"I-Br\": 2.59,\n    \"I-I\": 2.78\n}\n"
  },
  {
    "path": "pyxtal/database/bug.json",
    "content": "{\"lattice\": {\"@module\": \"numpy\", \"@class\": \"array\", \"dtype\": \"float64\", \"data\": [[3.7328477709688332, 2.297987170935623e-15, -18.578844019121945], [0.0, 10.91431, 6.683087403200974e-16], [0.0, 0.0, 31.6721927]]}, \"sites\": [{\"stype\":0, \"position\": {\"@module\": \"numpy\", \"@class\": \"array\", \"dtype\": \"float64\", \"data\": [0.36000000000000004, 0.7499999999999999, 0.6743055555555555]}, \"number\": 7, \"dim\": 3, \"index\": 0, \"diag\": false, \"molecule\": \"56\\nH20 C34 S2\\nC -11.009483 -0.737370 -0.038227\\nC -10.021613 -1.714264 -0.131663\\nC -8.672620 -1.349421 -0.111438\\nC -8.287972 -0.003033 0.003548\\nC -9.300638 0.966214 0.097292\\nC -10.649999 0.603056 0.076049\\nC -6.867176 0.380268 0.025048\\nC -5.853777 -0.591815 -0.032613\\nC -4.490536 -0.245608 -0.012694\\nC -3.493215 -1.233553 -0.073729\\nC -2.132461 -0.862299 -0.051684\\nC -1.757357 0.476221 0.029515\\nC -2.768201 1.466188 0.089755\\nC -4.127520 1.110275 0.068263\\nC -5.132532 2.085863 0.126147\\nC -6.482735 1.724755 0.104003\\nC -0.326030 0.597732 0.036543\\nC 0.326050 -0.597611 -0.036395\\nS -0.786250 -1.937463 -0.117569\\nC 1.757377 -0.476238 -0.029396\\nC 2.132480 0.862366 0.051748\\nS 0.786269 1.937530 0.117633\\nC 3.493234 1.233620 0.073793\\nC 4.490556 0.245592 0.012813\\nC 5.853795 0.591827 0.032594\\nC 6.867094 -0.380256 -0.025066\\nC 6.482654 -1.724827 -0.103966\\nC 5.132552 -2.085880 -0.126028\\nC 4.127539 -1.110346 -0.068228\\nC 2.768222 -1.466150 -0.089552\\nC 8.287991 0.002961 -0.003512\\nC 8.757048 1.085929 -0.765752\\nC 10.106043 1.450363 -0.746158\\nC 11.009495 0.737515 0.037889\\nC 10.565477 -0.339134 0.801343\\nC 9.216236 -0.703008 0.779696\\nH -12.058647 -1.020422 -0.054237\\nH -10.298390 -2.761748 -0.217653\\nH -7.916686 -2.129695 -0.174091\\nH -9.041658 2.020211 0.175926\\nH -11.418359 1.368512 0.146187\\nH -6.135845 -1.641521 -0.106693\\nH -3.761715 -2.285481 -0.138027\\nH -2.478693 2.512981 0.152849\\nH -4.874321 3.140616 0.192072\\nH -7.237382 2.506842 0.161825\\nH 3.761835 2.285410 0.138061\\nH 6.135863 1.641533 0.106673\\nH 7.237301 -2.506914 -0.161788\\nH 4.874241 -3.140633 -0.191951\\nH 2.478714 -2.512943 -0.152647\\nH 8.070017 1.649213 -1.394256\\nH 10.449584 2.289226 -1.345819\\nH 12.058540 1.020698 0.053969\\nH 11.267178 -0.895917 1.416898\\nH 8.888379 -1.540431 1.392429\", \"orientation\": {\"matrix\": {\"@module\": \"numpy\", \"@class\": \"array\", \"dtype\": \"float64\", \"data\": [[1.0, 0.0, 0.0], [0.0, 1.0, 0.0], [0.0, 0.0, 1.0]]}, \"degrees\": 2, \"axis\": null}, \"lattice\": {\"@module\": \"numpy\", \"@class\": \"array\", \"dtype\": \"float64\", \"data\": [[3.7328477709688332, 2.297987170935623e-15, -18.578844019121945], [0.0, 10.91431, 6.683087403200974e-16], [0.0, 0.0, 31.6721927]]}, \"lattice_type\": \"monoclinic\", \"rotors\": [-29.216653408097358, -150.54493701647982]}], \"group\": 7, \"molecular\": true, \"numIons\": null, \"numMols\": [2], \"factor\": 1.0, \"PBC\": [1, 1, 1], \"formula\": \"[C1=CC=C(C=C1)C2=CC3=CC4=C(C=C3C=C2)C5=C(S4)C6=C(S5)C=C7C=C(C=CC7=C6)C8=CC=CC=C8]2\", \"source\": \"1D rep.\", \"dim\": 3, \"valid\": true}\n"
  },
  {
    "path": "pyxtal/database/cifs/0-G62.cif",
    "content": "#############################################################\n#             ______       _    _          _   \t            #\n#            (_____ \\     \\ \\  / /        | |               #\n#             _____) )   _ \\ \\/ / |_  ____| |  \t            #\n#            |  ____/ | | | )  (|  _)/ _  | | \t            #\n#            | |    | |_| |/ /\\ \\ |_( (_| | |___            #\n#            |_|     \\__  /_/  \\_\\___)__|_|_____)           #\n#                   (____/                                  #\n#---------------------(version    0.3.7)--------------------#\n#       A Python package for random crystal generation      #\n#       url: https://github.com/qzhu2017/pyxtal             #\n#       @Zhu's group at University of Nevada Las Vegas      #\n#############################################################\ndata_from_pyxtal\n\n_symmetry_space_group_name_H-M 'Pnma'\n_symmetry_Int_Tables_number                   62\n_symmetry_cell_setting              orthorhombic\n_cell_length_a           11.607547\n_cell_length_b            8.052585\n_cell_length_c            5.800998\n_cell_angle_alpha        90.000000\n_cell_angle_beta         90.000000\n_cell_angle_gamma        90.000000\n_cell_volume            542.223685\n\nloop_\n _symmetry_equiv_pos_site_id\n _symmetry_equiv_pos_as_xyz\n1 'x, y, z'\n2 '-x+1/2, -y, z+1/2'\n3 '-x, y+1/2, -z'\n4 'x+1/2, -y+1/2, -z+1/2'\n5 '-x, -y, -z'\n6 'x+1/2, y, -z+1/2'\n7 'x, -y+1/2, z'\n8 '-x+1/2, y+1/2, z+1/2'\n\nloop_\n _atom_site_label\n _atom_site_type_symbol\n _atom_site_symmetry_multiplicity\n _atom_site_fract_x\n _atom_site_fract_y\n _atom_site_fract_z\n _atom_site_occupancy\nMg     Mg       4     0.379722    0.250000    0.755670 1\nPb     Pb       8     0.145331    0.005299    0.791265 1\nW      W        4     0.116607    0.250000    0.253990 1\nO      O        8     0.133893    0.008343    0.229133 1\nO      O        4     0.001323    0.250000    0.014990 1\nO      O        4     0.010262    0.250000    0.495392 1\nO      O        4     0.235503    0.250000    0.977400 1\nO      O        4     0.251460    0.250000    0.462642 1\n#END\n\n"
  },
  {
    "path": "pyxtal/database/cifs/1-G59.cif",
    "content": "#############################################################\n#             ______       _    _          _   \t            #\n#            (_____ \\     \\ \\  / /        | |               #\n#             _____) )   _ \\ \\/ / |_  ____| |  \t            #\n#            |  ____/ | | | )  (|  _)/ _  | | \t            #\n#            | |    | |_| |/ /\\ \\ |_( (_| | |___            #\n#            |_|     \\__  /_/  \\_\\___)__|_|_____)           #\n#                   (____/                                  #\n#---------------------(version    0.3.7)--------------------#\n#       A Python package for random crystal generation      #\n#       url: https://github.com/qzhu2017/pyxtal             #\n#       @Zhu's group at University of Nevada Las Vegas      #\n#############################################################\ndata_from_pyxtal\n\n_symmetry_space_group_name_H-M 'Pmmn'\n_symmetry_Int_Tables_number                   59\n_symmetry_cell_setting              orthorhombic\n_cell_length_a            8.052585\n_cell_length_b            5.800998\n_cell_length_c            5.803773\n_cell_angle_alpha        90.000000\n_cell_angle_beta         90.000000\n_cell_angle_gamma        90.000000\n_cell_volume            271.111843\n\nloop_\n _symmetry_equiv_pos_site_id\n _symmetry_equiv_pos_as_xyz\n1 'x, y, z'\n2 '-x+1/2, -y+1/2, z'\n3 '-x, y+1/2, -z'\n4 'x+1/2, -y, -z'\n5 '-x, -y, -z'\n6 'x+1/2, y+1/2, -z'\n7 'x, -y+1/2, z'\n8 '-x+1/2, y, z'\n\nloop_\n _atom_site_label\n _atom_site_type_symbol\n _atom_site_symmetry_multiplicity\n _atom_site_fract_x\n _atom_site_fract_y\n _atom_site_fract_z\n _atom_site_occupancy\nMg     Mg       2     0.250000    0.250000    0.259444 1\nW      W        2     0.250000    0.750000    0.733214 1\nPb     Pb       4     0.494701    0.250000    0.790662 1\nO      O        4     0.250000    0.968468    0.502646 1\nO      O        4     0.250000    0.006058    0.971006 1\nO      O        4     0.991657    0.250000    0.232214 1\n#END\n\n"
  },
  {
    "path": "pyxtal/database/cifs/191.vasp",
    "content": " C \n 1.0000000000000000\n     2.5297212763435866    0.0000000000000000    0.0000000000000000\n    -1.2648606381717933    2.1908028898075398    0.0000000000000000\n     0.0000000000000000    0.0000000000000000    2.1141589999999999\n C  \n   2\nDirect\n  0.3333333333333333  0.6666666666666666  0.5000000000000000\n  0.6666666666666666  0.3333333333333333  0.5000000000000000\n"
  },
  {
    "path": "pyxtal/database/cifs/2-G71.cif",
    "content": "#############################################################\n#             ______       _    _          _   \t            #\n#            (_____ \\     \\ \\  / /        | |               #\n#             _____) )   _ \\ \\/ / |_  ____| |  \t            #\n#            |  ____/ | | | )  (|  _)/ _  | | \t            #\n#            | |    | |_| |/ /\\ \\ |_( (_| | |___            #\n#            |_|     \\__  /_/  \\_\\___)__|_|_____)           #\n#                   (____/                                  #\n#---------------------(version    0.3.9)--------------------#\n#       A Python package for random crystal generation      #\n#       url: https://github.com/qzhu2017/pyxtal             #\n#       @Zhu's group at University of Nevada Las Vegas      #\n#############################################################\ndata_from_pyxtal\n\n_symmetry_space_group_name_H-M 'Immm'\n_symmetry_Int_Tables_number                   71\n_symmetry_cell_setting              orthorhombic\n_cell_length_a            5.803773\n_cell_length_b            8.052585\n_cell_length_c            5.800998\n_cell_angle_alpha        90.000000\n_cell_angle_beta         90.000000\n_cell_angle_gamma        90.000000\n_cell_volume            271.111843\n\nloop_\n _symmetry_equiv_pos_site_id\n _symmetry_equiv_pos_as_xyz\n1 'x, y, z'\n2 '-x, -y, z'\n3 '-x, y, -z'\n4 'x, -y, -z'\n5 '-x, -y, -z'\n6 'x, y, -z'\n7 'x, -y, z'\n8 '-x, y, z'\n9 'x+1/2, y+1/2, z+1/2'\n10 '-x+1/2, -y+1/2, z+1/2'\n11 '-x+1/2, y+1/2, -z+1/2'\n12 'x+1/2, -y+1/2, -z+1/2'\n13 '-x+1/2, -y+1/2, -z+1/2'\n14 'x+1/2, y+1/2, -z+1/2'\n15 'x+1/2, -y+1/2, z+1/2'\n16 '-x+1/2, y+1/2, z+1/2'\n\nloop_\n _atom_site_label\n _atom_site_type_symbol\n _atom_site_symmetry_multiplicity\n _atom_site_fract_x\n _atom_site_fract_y\n _atom_site_fract_z\n _atom_site_occupancy\nMg     Mg       2     0.000000    0.000000    0.000000 1\nW      W        2     0.500000    0.000000    0.500000 1\nPb     Pb       4     0.000000    0.744701    0.500000 1\nO      O        4     0.000000    0.741657    0.000000 1\nO      O        8     0.756798    0.000000    0.718468 1\n#END\n\n"
  },
  {
    "path": "pyxtal/database/cifs/3-G139.cif",
    "content": "#############################################################\n#             ______       _    _          _   \t            #\n#            (_____ \\     \\ \\  / /        | |               #\n#             _____) )   _ \\ \\/ / |_  ____| |  \t            #\n#            |  ____/ | | | )  (|  _)/ _  | | \t            #\n#            | |    | |_| |/ /\\ \\ |_( (_| | |___            #\n#            |_|     \\__  /_/  \\_\\___)__|_|_____)           #\n#                   (____/                                  #\n#---------------------(version    0.3.7)--------------------#\n#       A Python package for random crystal generation      #\n#       url: https://github.com/qzhu2017/pyxtal             #\n#       @Zhu's group at University of Nevada Las Vegas      #\n#############################################################\ndata_from_pyxtal\n\n_symmetry_space_group_name_H-M 'I4/mmm'\n_symmetry_Int_Tables_number                  139\n_symmetry_cell_setting                tetragonal\n_cell_length_a            5.802386\n_cell_length_b            5.802386\n_cell_length_c            8.052585\n_cell_angle_alpha        90.000000\n_cell_angle_beta         90.000000\n_cell_angle_gamma        90.000000\n_cell_volume            271.111858\n\nloop_\n _symmetry_equiv_pos_site_id\n _symmetry_equiv_pos_as_xyz\n1 'x, y, z'\n2 '-x, -y, z'\n3 '-y, x, z'\n4 'y, -x, z'\n5 '-x, y, -z'\n6 'x, -y, -z'\n7 'y, x, -z'\n8 '-y, -x, -z'\n9 '-x, -y, -z'\n10 'x, y, -z'\n11 'y, -x, -z'\n12 '-y, x, -z'\n13 'x, -y, z'\n14 '-x, y, z'\n15 '-y, -x, z'\n16 'y, x, z'\n17 'x+1/2, y+1/2, z+1/2'\n18 '-x+1/2, -y+1/2, z+1/2'\n19 '-y+1/2, x+1/2, z+1/2'\n20 'y+1/2, -x+1/2, z+1/2'\n21 '-x+1/2, y+1/2, -z+1/2'\n22 'x+1/2, -y+1/2, -z+1/2'\n23 'y+1/2, x+1/2, -z+1/2'\n24 '-y+1/2, -x+1/2, -z+1/2'\n25 '-x+1/2, -y+1/2, -z+1/2'\n26 'x+1/2, y+1/2, -z+1/2'\n27 'y+1/2, -x+1/2, -z+1/2'\n28 '-y+1/2, x+1/2, -z+1/2'\n29 'x+1/2, -y+1/2, z+1/2'\n30 '-x+1/2, y+1/2, z+1/2'\n31 '-y+1/2, -x+1/2, z+1/2'\n32 'y+1/2, x+1/2, z+1/2'\n\nloop_\n _atom_site_label\n _atom_site_type_symbol\n _atom_site_symmetry_multiplicity\n _atom_site_fract_x\n _atom_site_fract_y\n _atom_site_fract_z\n _atom_site_occupancy\nMg     Mg       2     0.000000    0.000000    0.000000 1\nW      W        2     0.000000    0.000000    0.500000 1\nPb     Pb       4     0.000000    0.500000    0.250000 1\nO      O        4     0.000000    0.000000    0.741657 1\nO      O        8     0.737633    0.737633    0.000000 1\n#END\n\n"
  },
  {
    "path": "pyxtal/database/cifs/4-G225.cif",
    "content": "#############################################################\n#             ______       _    _          _   \t            #\n#            (_____ \\     \\ \\  / /        | |               #\n#             _____) )   _ \\ \\/ / |_  ____| |  \t            #\n#            |  ____/ | | | )  (|  _)/ _  | | \t            #\n#            | |    | |_| |/ /\\ \\ |_( (_| | |___            #\n#            |_|     \\__  /_/  \\_\\___)__|_|_____)           #\n#                   (____/                                  #\n#---------------------(version    0.3.7)--------------------#\n#       A Python package for random crystal generation      #\n#       url: https://github.com/qzhu2017/pyxtal             #\n#       @Zhu's group at University of Nevada Las Vegas      #\n#############################################################\ndata_from_pyxtal\n\n_symmetry_space_group_name_H-M 'Fm-3m'\n_symmetry_Int_Tables_number                  225\n_symmetry_cell_setting                     cubic\n_cell_length_a            8.154737\n_cell_length_b            8.154737\n_cell_length_c            8.154737\n_cell_angle_alpha        90.000000\n_cell_angle_beta         90.000000\n_cell_angle_gamma        90.000000\n_cell_volume            542.287804\n\nloop_\n _symmetry_equiv_pos_site_id\n _symmetry_equiv_pos_as_xyz\n1 'x, y, z'\n2 '-x, -y, z'\n3 '-x, y, -z'\n4 'x, -y, -z'\n5 'z, x, y'\n6 'z, -x, -y'\n7 '-z, -x, y'\n8 '-z, x, -y'\n9 'y, z, x'\n10 '-y, z, -x'\n11 'y, -z, -x'\n12 '-y, -z, x'\n13 'y, x, -z'\n14 '-y, -x, -z'\n15 'y, -x, z'\n16 '-y, x, z'\n17 'x, z, -y'\n18 '-x, z, y'\n19 '-x, -z, -y'\n20 'x, -z, y'\n21 'z, y, -x'\n22 'z, -y, x'\n23 '-z, y, x'\n24 '-z, -y, -x'\n25 '-x, -y, -z'\n26 'x, y, -z'\n27 'x, -y, z'\n28 '-x, y, z'\n29 '-z, -x, -y'\n30 '-z, x, y'\n31 'z, x, -y'\n32 'z, -x, y'\n33 '-y, -z, -x'\n34 'y, -z, x'\n35 '-y, z, x'\n36 'y, z, -x'\n37 '-y, -x, z'\n38 'y, x, z'\n39 '-y, x, -z'\n40 'y, -x, -z'\n41 '-x, -z, y'\n42 'x, -z, -y'\n43 'x, z, y'\n44 '-x, z, -y'\n45 '-z, -y, x'\n46 '-z, y, -x'\n47 'z, -y, -x'\n48 'z, y, x'\n49 'x, y+1/2, z+1/2'\n50 '-x, -y+1/2, z+1/2'\n51 '-x, y+1/2, -z+1/2'\n52 'x, -y+1/2, -z+1/2'\n53 'z, x+1/2, y+1/2'\n54 'z, -x+1/2, -y+1/2'\n55 '-z, -x+1/2, y+1/2'\n56 '-z, x+1/2, -y+1/2'\n57 'y, z+1/2, x+1/2'\n58 '-y, z+1/2, -x+1/2'\n59 'y, -z+1/2, -x+1/2'\n60 '-y, -z+1/2, x+1/2'\n61 'y, x+1/2, -z+1/2'\n62 '-y, -x+1/2, -z+1/2'\n63 'y, -x+1/2, z+1/2'\n64 '-y, x+1/2, z+1/2'\n65 'x, z+1/2, -y+1/2'\n66 '-x, z+1/2, y+1/2'\n67 '-x, -z+1/2, -y+1/2'\n68 'x, -z+1/2, y+1/2'\n69 'z, y+1/2, -x+1/2'\n70 'z, -y+1/2, x+1/2'\n71 '-z, y+1/2, x+1/2'\n72 '-z, -y+1/2, -x+1/2'\n73 '-x, -y+1/2, -z+1/2'\n74 'x, y+1/2, -z+1/2'\n75 'x, -y+1/2, z+1/2'\n76 '-x, y+1/2, z+1/2'\n77 '-z, -x+1/2, -y+1/2'\n78 '-z, x+1/2, y+1/2'\n79 'z, x+1/2, -y+1/2'\n80 'z, -x+1/2, y+1/2'\n81 '-y, -z+1/2, -x+1/2'\n82 'y, -z+1/2, x+1/2'\n83 '-y, z+1/2, x+1/2'\n84 'y, z+1/2, -x+1/2'\n85 '-y, -x+1/2, z+1/2'\n86 'y, x+1/2, z+1/2'\n87 '-y, x+1/2, -z+1/2'\n88 'y, -x+1/2, -z+1/2'\n89 '-x, -z+1/2, y+1/2'\n90 'x, -z+1/2, -y+1/2'\n91 'x, z+1/2, y+1/2'\n92 '-x, z+1/2, -y+1/2'\n93 '-z, -y+1/2, x+1/2'\n94 '-z, y+1/2, -x+1/2'\n95 'z, -y+1/2, -x+1/2'\n96 'z, y+1/2, x+1/2'\n97 'x+1/2, y, z+1/2'\n98 '-x+1/2, -y, z+1/2'\n99 '-x+1/2, y, -z+1/2'\n100 'x+1/2, -y, -z+1/2'\n101 'z+1/2, x, y+1/2'\n102 'z+1/2, -x, -y+1/2'\n103 '-z+1/2, -x, y+1/2'\n104 '-z+1/2, x, -y+1/2'\n105 'y+1/2, z, x+1/2'\n106 '-y+1/2, z, -x+1/2'\n107 'y+1/2, -z, -x+1/2'\n108 '-y+1/2, -z, x+1/2'\n109 'y+1/2, x, -z+1/2'\n110 '-y+1/2, -x, -z+1/2'\n111 'y+1/2, -x, z+1/2'\n112 '-y+1/2, x, z+1/2'\n113 'x+1/2, z, -y+1/2'\n114 '-x+1/2, z, y+1/2'\n115 '-x+1/2, -z, -y+1/2'\n116 'x+1/2, -z, y+1/2'\n117 'z+1/2, y, -x+1/2'\n118 'z+1/2, -y, x+1/2'\n119 '-z+1/2, y, x+1/2'\n120 '-z+1/2, -y, -x+1/2'\n121 '-x+1/2, -y, -z+1/2'\n122 'x+1/2, y, -z+1/2'\n123 'x+1/2, -y, z+1/2'\n124 '-x+1/2, y, z+1/2'\n125 '-z+1/2, -x, -y+1/2'\n126 '-z+1/2, x, y+1/2'\n127 'z+1/2, x, -y+1/2'\n128 'z+1/2, -x, y+1/2'\n129 '-y+1/2, -z, -x+1/2'\n130 'y+1/2, -z, x+1/2'\n131 '-y+1/2, z, x+1/2'\n132 'y+1/2, z, -x+1/2'\n133 '-y+1/2, -x, z+1/2'\n134 'y+1/2, x, z+1/2'\n135 '-y+1/2, x, -z+1/2'\n136 'y+1/2, -x, -z+1/2'\n137 '-x+1/2, -z, y+1/2'\n138 'x+1/2, -z, -y+1/2'\n139 'x+1/2, z, y+1/2'\n140 '-x+1/2, z, -y+1/2'\n141 '-z+1/2, -y, x+1/2'\n142 '-z+1/2, y, -x+1/2'\n143 'z+1/2, -y, -x+1/2'\n144 'z+1/2, y, x+1/2'\n145 'x+1/2, y+1/2, z'\n146 '-x+1/2, -y+1/2, z'\n147 '-x+1/2, y+1/2, -z'\n148 'x+1/2, -y+1/2, -z'\n149 'z+1/2, x+1/2, y'\n150 'z+1/2, -x+1/2, -y'\n151 '-z+1/2, -x+1/2, y'\n152 '-z+1/2, x+1/2, -y'\n153 'y+1/2, z+1/2, x'\n154 '-y+1/2, z+1/2, -x'\n155 'y+1/2, -z+1/2, -x'\n156 '-y+1/2, -z+1/2, x'\n157 'y+1/2, x+1/2, -z'\n158 '-y+1/2, -x+1/2, -z'\n159 'y+1/2, -x+1/2, z'\n160 '-y+1/2, x+1/2, z'\n161 'x+1/2, z+1/2, -y'\n162 '-x+1/2, z+1/2, y'\n163 '-x+1/2, -z+1/2, -y'\n164 'x+1/2, -z+1/2, y'\n165 'z+1/2, y+1/2, -x'\n166 'z+1/2, -y+1/2, x'\n167 '-z+1/2, y+1/2, x'\n168 '-z+1/2, -y+1/2, -x'\n169 '-x+1/2, -y+1/2, -z'\n170 'x+1/2, y+1/2, -z'\n171 'x+1/2, -y+1/2, z'\n172 '-x+1/2, y+1/2, z'\n173 '-z+1/2, -x+1/2, -y'\n174 '-z+1/2, x+1/2, y'\n175 'z+1/2, x+1/2, -y'\n176 'z+1/2, -x+1/2, y'\n177 '-y+1/2, -z+1/2, -x'\n178 'y+1/2, -z+1/2, x'\n179 '-y+1/2, z+1/2, x'\n180 'y+1/2, z+1/2, -x'\n181 '-y+1/2, -x+1/2, z'\n182 'y+1/2, x+1/2, z'\n183 '-y+1/2, x+1/2, -z'\n184 'y+1/2, -x+1/2, -z'\n185 '-x+1/2, -z+1/2, y'\n186 'x+1/2, -z+1/2, -y'\n187 'x+1/2, z+1/2, y'\n188 '-x+1/2, z+1/2, -y'\n189 '-z+1/2, -y+1/2, x'\n190 '-z+1/2, y+1/2, -x'\n191 'z+1/2, -y+1/2, -x'\n192 'z+1/2, y+1/2, x'\n\nloop_\n _atom_site_label\n _atom_site_type_symbol\n _atom_site_symmetry_multiplicity\n _atom_site_fract_x\n _atom_site_fract_y\n _atom_site_fract_z\n _atom_site_occupancy\nMg     Mg       4     0.000000    0.000000    0.000000 1\nW      W        4     0.500000    0.500000    0.500000 1\nPb     Pb       8     0.250000    0.250000    0.250000 1\nO      O       24     0.737633    0.000000    0.000000 1\n#END\n\n"
  },
  {
    "path": "pyxtal/database/cifs/ACBNZA01.cif",
    "content": "####################################################################### \r\n# \r\n# This file contains crystal structure data downloaded from the \r\n# Cambridge Structural Database (CSD) hosted by the Cambridge \r\n# Crystallographic Data Centre (CCDC).\r\n# \r\n# Full information about CCDC data access policies and citation \r\n# guidelines are available at http://www.ccdc.cam.ac.uk/access/V1 \r\n# \r\n# Audit and citation data items may have been added by the CCDC. \r\n# Please retain this information to preserve the provenance of \r\n# this file and to allow appropriate attribution of the data. \r\n# \r\n#######################################################################\r\n\r\ndata_ACBNZA01\r\n#This CIF has been generated from an entry in the Cambridge Structural Database\r\n_database_code_depnum_ccdc_archive 'CCDC 1100480'\r\n_database_code_CSD               ACBNZA01\r\nloop_\r\n_citation_id\r\n_citation_doi\r\n_citation_year\r\n1 10.1039/p29810000233 1981\r\n_audit_creation_method           'Created from the CSD'\r\n_audit_update_record             \r\n;\r\n2021-05-20 downloaded from the CCDC.\r\n;\r\n_database_code_NBS               530274\r\n_chemical_formula_moiety         'C9 H10 N2 O2'\r\n_chemical_name_systematic        o-Acetamidobenzamide\r\n_chemical_absolute_configuration unk\r\n_diffrn_ambient_temperature      295\r\n_exptl_crystal_density_diffrn    1.34525\r\n#These two values have been output from a single CSD field.\r\n_refine_ls_R_factor_gt           0.04\r\n_refine_ls_wR_factor_gt          0.04\r\n_diffrn_radiation_probe          x-ray\r\n_symmetry_cell_setting           monoclinic\r\n_symmetry_space_group_name_H-M   'P 21/c'\r\n_symmetry_Int_Tables_number      14\r\n_space_group_name_Hall           '-P 2ybc'\r\nloop_\r\n_symmetry_equiv_pos_site_id\r\n_symmetry_equiv_pos_as_xyz\r\n1 x,y,z\r\n2 -x,1/2+y,1/2-z\r\n3 -x,-y,-z\r\n4 x,1/2-y,1/2+z\r\n_cell_length_a                   7.807(2)\r\n_cell_length_b                   9.039(3)\r\n_cell_length_c                   12.706(3)\r\n_cell_angle_alpha                90\r\n_cell_angle_beta                 101.12(2)\r\n_cell_angle_gamma                90\r\n_cell_volume                     879.796\r\n_cell_formula_units_Z            4\r\nloop_\r\n_atom_site_label\r\n_atom_site_type_symbol\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\nO1 O 0.30640 0.45440 0.06550\r\nO2 O 0.45420 0.44520 0.32870\r\nN1 N 0.49220 0.64630 0.09710\r\nN2 N 0.46900 0.69330 0.32790\r\nC1 C 0.29190 0.71430 0.27310\r\nC2 C 0.23330 0.65510 0.17210\r\nC3 C 0.06020 0.67370 0.12480\r\nC4 C -0.05150 0.75310 0.17440\r\nC5 C 0.00970 0.81400 0.27300\r\nC6 C 0.18060 0.79450 0.32350\r\nC7 C 0.34790 0.57580 0.10840\r\nC8 C 0.53900 0.55890 0.35360\r\nC9 C 0.72320 0.55700 0.41330\r\nH1 H 0.57200 0.60500 0.05200\r\nH2 H 0.51800 0.73400 0.12000\r\nH3 H 0.02400 0.63900 0.05800\r\nH4 H -0.17200 0.76600 0.14200\r\nH5 H -0.05800 0.85900 0.30500\r\nH6 H 0.22600 0.83400 0.39200\r\nH7 H 0.52200 0.77100 0.35000\r\nH8 H 0.77600 0.64700 0.42600\r\nH9 H 0.79000 0.50900 0.36500\r\nH10 H 0.74100 0.48200 0.46500\r\n\r\n#END\r\n"
  },
  {
    "path": "pyxtal/database/cifs/AXOSOW01.cif",
    "content": "####################################################################### \r\n# \r\n# This file contains crystal structure data downloaded from the \r\n# Cambridge Structural Database (CSD) hosted by the Cambridge \r\n# Crystallographic Data Centre (CCDC).\r\n# \r\n# Full information about CCDC data access policies and citation \r\n# guidelines are available at http://www.ccdc.cam.ac.uk/access/V1 \r\n# \r\n# Audit and citation data items may have been added by the CCDC. \r\n# Please retain this information to preserve the provenance of \r\n# this file and to allow appropriate attribution of the data. \r\n# \r\n#######################################################################\r\n\r\ndata_expt_XII\r\n_audit_block_doi                 10.5517/cc108d0p\r\n_database_code_depnum_ccdc_archive 'CCDC 931581'\r\nloop_\r\n_citation_id\r\n_citation_doi\r\n_citation_year\r\n1 10.1107/S0108768109004066 2009\r\n_audit_update_record             \r\n;\r\n2013-03-29 deposited with the CCDC.\t2021-05-12 downloaded from the CCDC.\r\n;\r\n_audit_creation_date             06-12-18\r\n_audit_creation_method           CRYSTALS_ver_12.83\r\n_chemical_compound_source        'Aldrich '\r\n_exptl_crystal_recrystallization_method \r\n;\r\nLaser-assisted zone refinement at 178 K.\r\n;\r\n_oxford_structure_analysis_title 'acrolein in Pbca'\r\n_chemical_name_systematic        ?\r\n_chemical_melting_point          ?\r\n_cell_length_a                   6.970(3)\r\n_cell_length_b                   9.514(5)\r\n_cell_length_c                   9.752(5)\r\n_cell_angle_alpha                90\r\n_cell_angle_beta                 90\r\n_cell_angle_gamma                90\r\n_cell_volume                     646.7(5)\r\n_symmetry_cell_setting           Orthorhombic\r\n_symmetry_space_group_name_H-M   'P b c a '\r\n_symmetry_space_group_name_Hall  '-P 2ac 2ab'\r\nloop_\r\n_symmetry_equiv_pos_as_xyz\r\nx,y,z\r\n-x,-y,-z\r\n-x+1/2,y+1/2,z\r\nx+1/2,-y+1/2,-z\r\nx,-y+1/2,z+1/2\r\n-x,y+1/2,-z+1/2\r\n-x+1/2,-y,z+1/2\r\nx+1/2,y,-z+1/2\r\nloop_\r\n_atom_type_symbol\r\n_atom_type_scat_dispersion_real\r\n_atom_type_scat_dispersion_imag\r\n_atom_type_scat_Cromer_Mann_a1\r\n_atom_type_scat_Cromer_Mann_b1\r\n_atom_type_scat_Cromer_Mann_a2\r\n_atom_type_scat_Cromer_Mann_b2\r\n_atom_type_scat_Cromer_Mann_a3\r\n_atom_type_scat_Cromer_Mann_b3\r\n_atom_type_scat_Cromer_Mann_a4\r\n_atom_type_scat_Cromer_Mann_b4\r\n_atom_type_scat_Cromer_Mann_c\r\n_atom_type_scat_source\r\nC 0.0033 0.0016 2.3100 20.8439 1.0200 10.2075 1.5886 0.5687 0.8650 51.6512\r\n0.2156 'International Tables Vol C 4.2.6.8 and 6.1.1.4'\r\nH 0.0000 0.0000 0.4930 10.5109 0.3229 26.1257 0.1402 3.1424 0.0408 57.7998\r\n0.0030 'International Tables Vol C 4.2.6.8 and 6.1.1.4'\r\nO 0.0106 0.0060 3.0485 13.2771 2.2868 5.7011 1.5463 0.3239 0.8670 32.9089\r\n0.2508 'International Tables Vol C 4.2.6.8 and 6.1.1.4'\r\n_cell_formula_units_Z            8\r\n# Given Formula = C3 H4 O1\r\n# Dc = 1.15 Fooo = 240.00 Mu = 0.86 M = 56.06\r\n# Found Formula = C3 H4 O1\r\n# Dc = 1.15 FOOO = 240.00 Mu = 0.86 M = 56.06\r\n_chemical_formula_sum            'C3 H4 O1'\r\n_chemical_formula_moiety         'C3 H4 O1'\r\n_chemical_formula_weight         56.06\r\n_cell_measurement_reflns_used    950\r\n_cell_measurement_theta_min      4\r\n_cell_measurement_theta_max      23.5\r\n_cell_measurement_temperature    150\r\n_exptl_crystal_description       cylinder\r\n_exptl_crystal_colour            colourless\r\n_exptl_crystal_size_min          0.43\r\n_exptl_crystal_size_mid          0.43\r\n_exptl_crystal_size_max          2.00\r\n_exptl_crystal_density_diffrn    1.152\r\n_exptl_crystal_density_meas      ?\r\n# Non-dispersive F(000):\r\n_exptl_crystal_F_000             240\r\n_exptl_absorpt_coefficient_mu    0.086\r\n# Sheldrick geometric approximatio 0.96 0.96\r\n_exptl_absorpt_correction_type   multi-scan\r\n_exptl_absorpt_process_details   Sadabs\r\n_exptl_absorpt_correction_T_min  0.79\r\n_exptl_absorpt_correction_T_max  0.96\r\n_diffrn_measurement_device_type  'Bruker SMART'\r\n_diffrn_radiation_monochromator  graphite\r\n_diffrn_radiation_type           'Mo K\\a'\r\n_diffrn_radiation_wavelength     0.71073\r\n_diffrn_measurement_method       \\w\r\n# If a reference occurs more than once, delete the author\r\n# and date from subsequent references.\r\n_computing_data_collection       'SMART (Siemens, 1993)'\r\n_computing_data_reduction        'SAINT (Siemens ,1995)'\r\n_computing_cell_refinement       'SAINT (Siemens ,1995)'\r\n_computing_structure_solution    'SHELXS 86 (Sheldrick, 1986)'\r\n_computing_structure_refinement  'CRYSTALS (Betteridge et al., 2003)'\r\n_computing_publication_material  'CRYSTALS (Betteridge et al., 2003)'\r\n_computing_molecular_graphics    'CAMERON (Watkin et al., 1996)'\r\n_diffrn_standards_interval_time  ?\r\n_diffrn_standards_interval_count ?\r\n_diffrn_standards_number         0\r\n_diffrn_standards_decay_%        ?\r\n_diffrn_ambient_temperature      150\r\n_diffrn_reflns_number            2237\r\n_reflns_number_total             570\r\n_diffrn_reflns_av_R_equivalents  0.029\r\n# Number of reflections with Friedels Law is 570\r\n# Number of reflections without Friedels Law is 0\r\n# Theoretical number of reflections is about 571\r\n_diffrn_reflns_theta_min         4.179\r\n_diffrn_reflns_theta_max         25.024\r\n_diffrn_measured_fraction_theta_max 0.998\r\n_diffrn_reflns_theta_full        25.024\r\n_diffrn_measured_fraction_theta_full 0.998\r\n_diffrn_reflns_limit_h_min       -8\r\n_diffrn_reflns_limit_h_max       8\r\n_diffrn_reflns_limit_k_min       -11\r\n_diffrn_reflns_limit_k_max       11\r\n_diffrn_reflns_limit_l_min       0\r\n_diffrn_reflns_limit_l_max       11\r\n_reflns_limit_h_min              0\r\n_reflns_limit_h_max              8\r\n_reflns_limit_k_min              0\r\n_reflns_limit_k_max              11\r\n_reflns_limit_l_min              0\r\n_reflns_limit_l_max              11\r\n_oxford_diffrn_Wilson_B_factor   0.00\r\n_oxford_diffrn_Wilson_scale      0.00\r\n_atom_sites_solution_primary     direct #heavy,direct,difmap,geom\r\n# _atom_sites_solution_secondary difmap\r\n_atom_sites_solution_hydrogens   difmap\r\n_refine_diff_density_min         -0.13\r\n_refine_diff_density_max         0.13\r\n_refine_ls_number_reflns         570\r\n_refine_ls_number_restraints     4\r\n_refine_ls_number_parameters     50\r\n#_refine_ls_R_factor_ref 0.0570\r\n_refine_ls_wR_factor_ref         0.1195\r\n_refine_ls_goodness_of_fit_ref   1.4022\r\n#_reflns_number_all 570\r\n_refine_ls_R_factor_all          0.0570\r\n_refine_ls_wR_factor_all         0.1195\r\n# No actual I/u(I) cutoff was used for refinement. The\r\n# threshold below is used for \"_gt\" information ONLY:\r\n_reflns_threshold_expression     I>2.0\\s(I)\r\n_reflns_number_gt                490\r\n_refine_ls_R_factor_gt           0.0447\r\n_refine_ls_wR_factor_gt          0.0996\r\n_refine_ls_shift/su_max          0.013560\r\n# choose from: rm (reference molecule of known chirality),\r\n# ad (anomolous dispersion - Flack), rmad (rm and ad),\r\n# syn (from synthesis), unk (unknown) or . (not applicable).\r\n_chemical_absolute_configuration .\r\n_refine_ls_structure_factor_coef Fsqd\r\n_refine_ls_matrix_type           full\r\n_refine_ls_hydrogen_treatment    'restrained refall'\r\n# refxyz, refU, constr or mixed\r\n_refine_ls_weighting_scheme      calc\r\n_refine_ls_weighting_details     \r\n;\r\nMethod= Modified Sheldrick\r\nw=1/[\\s^2^(F^2^) + ( 0.02P)^2^ + 0.00P]\r\n,where P=(max(Fo^2^,0) + 2Fc^2^)/3\r\n;\r\n# Uequiv = arithmetic mean of Ui i.e. Ueqiv = (U1+U2+U3)/3\r\n# Replace last . with number of unfound hydrogen atomsattached to an atom.\r\n# ..._refinement_flags_...\r\n# . no refinement constraints S special position constraint on site\r\n# G rigid group refinement of site R riding atom\r\n# D distance or angle restraint on site T thermal displacement constraints\r\n# U Uiso or Uij restraint (rigid bond) P partial occupancy constraint\r\nloop_\r\n_atom_site_label\r\n_atom_site_type_symbol\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\n_atom_site_U_iso_or_equiv\r\n_atom_site_occupancy\r\n_atom_site_adp_type\r\n_atom_site_refinement_flags_posn\r\n_atom_site_refinement_flags_adp\r\n_atom_site_refinement_flags_occupancy\r\n_atom_site_disorder_assembly\r\n_atom_site_disorder_group\r\n_atom_site_attached_hydrogens\r\nC1 C 0.8803(3) 0.2131(2) 0.4800(2) 0.0535 1.0000 Uani D . . . . .\r\nC2 C 0.9203(3) 0.1717(2) 0.3568(2) 0.0464 1.0000 Uani D . . . . .\r\nC3 C 0.8581(3) 0.0378(2) 0.3071(2) 0.0505 1.0000 Uani D . . . . .\r\nO4 O 0.8889(2) -0.00711(14) 0.19511(17) 0.0666 1.0000 Uani . . . . . .\r\nH5 H 0.785(3) -0.0142(19) 0.3756(17) 0.068(4) 1.0000 Uiso D . . . . .\r\nH11 H 0.807(3) 0.1547(18) 0.5407(17) 0.068(4) 1.0000 Uiso D . . . . .\r\nH12 H 0.924(3) 0.3025(14) 0.516(2) 0.068(4) 1.0000 Uiso D . . . . .\r\nH2 H 0.989(3) 0.2300(18) 0.2936(16) 0.068(4) 1.0000 Uiso D . . . . .\r\nloop_\r\n_atom_site_aniso_label\r\n_atom_site_aniso_U_11\r\n_atom_site_aniso_U_22\r\n_atom_site_aniso_U_33\r\n_atom_site_aniso_U_23\r\n_atom_site_aniso_U_13\r\n_atom_site_aniso_U_12\r\nC1 0.0516(13) 0.0568(14) 0.0521(13) 0.0022(11) -0.0020(9) 0.0067(10)\r\nC2 0.0470(11) 0.0439(11) 0.0484(12) 0.0043(9) -0.0005(9) -0.0021(9)\r\nC3 0.0436(12) 0.0455(11) 0.0623(16) 0.0032(10) -0.0080(11) 0.0023(10)\r\nO4 0.0734(12) 0.0573(11) 0.0690(13) -0.0164(8) -0.0069(9) 0.0042(8)\r\n_refine_ls_extinction_method     None\r\n_oxford_refine_ls_scale          0.12307(14)\r\nloop_\r\n_geom_bond_atom_site_label_1\r\n_geom_bond_site_symmetry_1\r\n_geom_bond_atom_site_label_2\r\n_geom_bond_site_symmetry_2\r\n_geom_bond_distance\r\n_geom_bond_publ_flag\r\nC1 . C2 . 1.295(3) yes\r\nC1 . H11 . 0.960(9) no\r\nC1 . H12 . 0.968(9) no\r\nC2 . C3 . 1.430(3) yes\r\nC2 . H2 . 0.958(9) no\r\nC3 . O4 . 1.192(2) yes\r\nC3 . H5 . 0.975(9) no\r\nloop_\r\n_geom_angle_atom_site_label_1\r\n_geom_angle_site_symmetry_1\r\n_geom_angle_atom_site_label_2\r\n_geom_angle_site_symmetry_2\r\n_geom_angle_atom_site_label_3\r\n_geom_angle_site_symmetry_3\r\n_geom_angle\r\n_geom_angle_publ_flag\r\nC2 . C1 . H11 . 120.7(13) no\r\nC2 . C1 . H12 . 122.4(13) no\r\nH11 . C1 . H12 . 116.9(18) no\r\nC1 . C2 . C3 . 121.4(2) yes\r\nC1 . C2 . H2 . 121.9(12) no\r\nC3 . C2 . H2 . 116.7(12) no\r\nC2 . C3 . O4 . 125.1(2) yes\r\nC2 . C3 . H5 . 112.2(13) no\r\nO4 . C3 . H5 . 122.7(13) no\r\n"
  },
  {
    "path": "pyxtal/database/cifs/Al2SiO5_mp-4753_symmetrized.cif",
    "content": "# generated using pymatgen\ndata_Al2SiO5\n_symmetry_space_group_name_H-M   Pnnm\n_cell_length_a   7.87578500\n_cell_length_b   7.97942000\n_cell_length_c   5.61389800\n_cell_angle_alpha   90.00000000\n_cell_angle_beta   90.00000000\n_cell_angle_gamma   90.00000000\n_symmetry_Int_Tables_number   58\n_chemical_formula_structural   Al2SiO5\n_chemical_formula_sum   'Al8 Si4 O20'\n_cell_volume   352.80090817\n_cell_formula_units_Z   4\nloop_\n _symmetry_equiv_pos_site_id\n _symmetry_equiv_pos_as_xyz\n  1  'x, y, z'\n  2  '-x, -y, -z'\n  3  '-x, -y, z'\n  4  'x, y, -z'\n  5  'x+1/2, -y+1/2, -z+1/2'\n  6  '-x+1/2, y+1/2, z+1/2'\n  7  '-x+1/2, y+1/2, -z+1/2'\n  8  'x+1/2, -y+1/2, z+1/2'\nloop_\n _atom_site_type_symbol\n _atom_site_label\n _atom_site_symmetry_multiplicity\n _atom_site_fract_x\n _atom_site_fract_y\n _atom_site_fract_z\n _atom_site_occupancy\n  Al  Al0  4  0.00000000  0.00000000  0.24176400  1\n  Al  Al1  4  0.12942900  0.63918100  0.00000000  1\n  Si  Si2  4  0.24575200  0.25224100  0.00000000  1\n  O  O3  8  0.23075400  0.13422900  0.23971600  1\n  O  O4  4  0.07587800  0.86359200  0.50000000  1\n  O  O5  4  0.07596900  0.86286100  0.00000000  1\n  O  O6  4  0.10253200  0.40066200  0.00000000  1\n"
  },
  {
    "path": "pyxtal/database/cifs/BTO-Amm2.cif",
    "content": "# generated using pymatgen\ndata_BaTiO3\n_symmetry_space_group_name_H-M   Amm2\n_cell_length_a   3.98753100\n_cell_length_b   5.80560800\n_cell_length_c   5.85529200\n_cell_angle_alpha   90.00000000\n_cell_angle_beta   90.00000000\n_cell_angle_gamma   90.00000000\n_symmetry_Int_Tables_number   38\n_chemical_formula_structural   BaTiO3\n_chemical_formula_sum   'Ba2 Ti2 O6'\n_cell_volume   135.55025498\n_cell_formula_units_Z   2\nloop_\n _symmetry_equiv_pos_site_id\n _symmetry_equiv_pos_as_xyz\n  1  'x, y, z'\n  2  '-x, -y, z'\n  3  '-x, y, z'\n  4  'x, -y, z'\n  5  'x, y+1/2, z+1/2'\n  6  '-x, -y+1/2, z+1/2'\n  7  '-x, y+1/2, z+1/2'\n  8  'x, -y+1/2, z+1/2'\nloop_\n _atom_site_type_symbol\n _atom_site_label\n _atom_site_symmetry_multiplicity\n _atom_site_fract_x\n _atom_site_fract_y\n _atom_site_fract_z\n _atom_site_occupancy\n  Ba  Ba0  2  0.00000000  0.00000000  0.99252100  1\n  Ti  Ti1  2  0.50000000  0.00000000  0.47548600  1\n  O  O2  4  0.50000000  0.24129950  0.26831250  1\n  O  O3  2  0.00000000  0.00000000  0.51546800  1\n"
  },
  {
    "path": "pyxtal/database/cifs/BTO.cif",
    "content": "\n#======================================================================\n# CRYSTAL DATA\n#----------------------------------------------------------------------\ndata_VESTA_phase_1\n\n_chemical_name_common                  'New structure'\n_cell_length_a                         3.999900\n_cell_length_b                         3.999900\n_cell_length_c                         4.020000\n_cell_angle_alpha                      90.000000\n_cell_angle_beta                       90.000000\n_cell_angle_gamma                      90.000000\n_cell_volume                           64.316787\n_space_group_name_H-M_alt              'P 4 m m'\n_space_group_IT_number                 99\n\nloop_\n_space_group_symop_operation_xyz\n   'x, y, z'\n   '-x, -y, z'\n   '-y, x, z'\n   'y, -x, z'\n   'x, -y, z'\n   '-x, y, z'\n   '-y, -x, z'\n   'y, x, z'\n\nloop_\n   _atom_site_label\n   _atom_site_occupancy\n   _atom_site_fract_x\n   _atom_site_fract_y\n   _atom_site_fract_z\n   _atom_site_adp_type\n   _atom_site_B_iso_or_equiv\n   _atom_site_type_symbol\n   Ba         1.0     0.000000     0.000000     0.000000    Biso  1.000000 Ba\n   Ti         1.0     0.500000     0.500000     0.420000    Biso  1.000000 Ti\n   O          1.0     0.500000     0.500000     0.030000    Biso  1.000000 O\n   O          1.0     0.500000     0.000000     0.580000    Biso  1.000000 O\n"
  },
  {
    "path": "pyxtal/database/cifs/FAU.cif",
    "content": "data_FAU\n#**************************************************************************\n#\n# CIF taken from the IZA-SC Database of Zeolite Structures\n# Ch. Baerlocher and L.B. McCusker\n# Database of Zeolite Structures: http://www.iza-structure.org/databases/ \n#\n# The atom coordinates and the cell parameters were optimized with DLS76\n# assuming a pure SiO2 composition.\n#\n#**************************************************************************\n\n_cell_length_a                  24.3450(0)\n_cell_length_b                  24.3450(0)\n_cell_length_c                  24.3450(0)\n_cell_angle_alpha               90.0000(0)\n_cell_angle_beta                90.0000(0)\n_cell_angle_gamma               90.0000(0)\n\n_symmetry_space_group_name_H-M     'F d 3 m'\n_symmetry_Int_Tables_number         227\n_space_group.IT_coordinate_system_code  '2'\n_symmetry_cell_setting             cubic\n\nloop_\n_symmetry_equiv_pos_as_xyz\n'+x,+y,+z'\n'+x,1/2+y,1/2+z'\n'1/2+x,1/2+y,+z'\n'1/2+x,+y,1/2+z'\n'+z,+x,+y'\n'+z,1/2+x,1/2+y'\n'1/2+z,1/2+x,+y'\n'1/2+z,+x,1/2+y'\n'+y,+z,+x'\n'+y,1/2+z,1/2+x'\n'1/2+y,1/2+z,+x'\n'1/2+y,+z,1/2+x'\n'-x,1/4+y,1/4+z'\n'-x,3/4+y,3/4+z'\n'1/2-x,3/4+y,1/4+z'\n'1/2-x,1/4+y,3/4+z'\n'-z,1/4+x,1/4+y'\n'-z,3/4+x,3/4+y'\n'1/2-z,3/4+x,1/4+y'\n'1/2-z,1/4+x,3/4+y'\n'-y,1/4+z,1/4+x'\n'-y,3/4+z,3/4+x'\n'1/2-y,3/4+z,1/4+x'\n'1/2-y,1/4+z,3/4+x'\n'1/4+x,-y,1/4+z'\n'1/4+x,1/2-y,3/4+z'\n'3/4+x,1/2-y,1/4+z'\n'3/4+x,-y,3/4+z'\n'1/4+z,-x,1/4+y'\n'1/4+z,1/2-x,3/4+y'\n'3/4+z,1/2-x,1/4+y'\n'3/4+z,-x,3/4+y'\n'1/4+y,-z,1/4+x'\n'1/4+y,1/2-z,3/4+x'\n'3/4+y,1/2-z,1/4+x'\n'3/4+y,-z,3/4+x'\n'1/4-x,3/4-y,1/2+z'\n'1/4-x,1/4-y,+z'\n'3/4-x,1/4-y,1/2+z'\n'3/4-x,3/4-y,+z'\n'1/4-z,3/4-x,1/2+y'\n'1/4-z,1/4-x,+y'\n'3/4-z,1/4-x,1/2+y'\n'3/4-z,3/4-x,+y'\n'1/4-y,3/4-z,1/2+x'\n'1/4-y,1/4-z,+x'\n'3/4-y,1/4-z,1/2+x'\n'3/4-y,3/4-z,+x'\n'+y,+x,+z'\n'+y,1/2+x,1/2+z'\n'1/2+y,1/2+x,+z'\n'1/2+y,+x,1/2+z'\n'+x,+z,+y'\n'+x,1/2+z,1/2+y'\n'1/2+x,1/2+z,+y'\n'1/2+x,+z,1/2+y'\n'+z,+y,+x'\n'+z,1/2+y,1/2+x'\n'1/2+z,1/2+y,+x'\n'1/2+z,+y,1/2+x'\n'1/4+y,-x,1/4+z'\n'1/4+y,1/2-x,3/4+z'\n'3/4+y,1/2-x,1/4+z'\n'3/4+y,-x,3/4+z'\n'1/4+x,-z,1/4+y'\n'1/4+x,1/2-z,3/4+y'\n'3/4+x,1/2-z,1/4+y'\n'3/4+x,-z,3/4+y'\n'1/4+z,-y,1/4+x'\n'1/4+z,1/2-y,3/4+x'\n'3/4+z,1/2-y,1/4+x'\n'3/4+z,-y,3/4+x'\n'-y,1/4+x,1/4+z'\n'-y,3/4+x,3/4+z'\n'1/2-y,3/4+x,1/4+z'\n'1/2-y,1/4+x,3/4+z'\n'-x,1/4+z,1/4+y'\n'-x,3/4+z,3/4+y'\n'1/2-x,3/4+z,1/4+y'\n'1/2-x,1/4+z,3/4+y'\n'-z,1/4+y,1/4+x'\n'-z,3/4+y,3/4+x'\n'1/2-z,3/4+y,1/4+x'\n'1/2-z,1/4+y,3/4+x'\n'3/4-y,1/4-x,1/2+z'\n'3/4-y,3/4-x,+z'\n'1/4-y,3/4-x,1/2+z'\n'1/4-y,1/4-x,+z'\n'3/4-x,1/4-z,1/2+y'\n'3/4-x,3/4-z,+y'\n'1/4-x,3/4-z,1/2+y'\n'1/4-x,1/4-z,+y'\n'3/4-z,1/4-y,1/2+x'\n'3/4-z,3/4-y,+x'\n'1/4-z,3/4-y,1/2+x'\n'1/4-z,1/4-y,+x'\n'-x,-y,-z'\n'-x,1/2-y,1/2-z'\n'1/2-x,1/2-y,-z'\n'1/2-x,-y,1/2-z'\n'-z,-x,-y'\n'-z,1/2-x,1/2-y'\n'1/2-z,1/2-x,-y'\n'1/2-z,-x,1/2-y'\n'-y,-z,-x'\n'-y,1/2-z,1/2-x'\n'1/2-y,1/2-z,-x'\n'1/2-y,-z,1/2-x'\n'+x,3/4-y,3/4-z'\n'+x,1/4-y,1/4-z'\n'1/2+x,1/4-y,3/4-z'\n'1/2+x,3/4-y,1/4-z'\n'+z,3/4-x,3/4-y'\n'+z,1/4-x,1/4-y'\n'1/2+z,1/4-x,3/4-y'\n'1/2+z,3/4-x,1/4-y'\n'+y,3/4-z,3/4-x'\n'+y,1/4-z,1/4-x'\n'1/2+y,1/4-z,3/4-x'\n'1/2+y,3/4-z,1/4-x'\n'3/4-x,+y,3/4-z'\n'3/4-x,1/2+y,1/4-z'\n'1/4-x,1/2+y,3/4-z'\n'1/4-x,+y,1/4-z'\n'3/4-z,+x,3/4-y'\n'3/4-z,1/2+x,1/4-y'\n'1/4-z,1/2+x,3/4-y'\n'1/4-z,+x,1/4-y'\n'3/4-y,+z,3/4-x'\n'3/4-y,1/2+z,1/4-x'\n'1/4-y,1/2+z,3/4-x'\n'1/4-y,+z,1/4-x'\n'3/4+x,1/4+y,1/2-z'\n'3/4+x,3/4+y,-z'\n'1/4+x,3/4+y,1/2-z'\n'1/4+x,1/4+y,-z'\n'3/4+z,1/4+x,1/2-y'\n'3/4+z,3/4+x,-y'\n'1/4+z,3/4+x,1/2-y'\n'1/4+z,1/4+x,-y'\n'3/4+y,1/4+z,1/2-x'\n'3/4+y,3/4+z,-x'\n'1/4+y,3/4+z,1/2-x'\n'1/4+y,1/4+z,-x'\n'-y,-x,-z'\n'-y,1/2-x,1/2-z'\n'1/2-y,1/2-x,-z'\n'1/2-y,-x,1/2-z'\n'-x,-z,-y'\n'-x,1/2-z,1/2-y'\n'1/2-x,1/2-z,-y'\n'1/2-x,-z,1/2-y'\n'-z,-y,-x'\n'-z,1/2-y,1/2-x'\n'1/2-z,1/2-y,-x'\n'1/2-z,-y,1/2-x'\n'3/4-y,+x,3/4-z'\n'3/4-y,1/2+x,1/4-z'\n'1/4-y,1/2+x,3/4-z'\n'1/4-y,+x,1/4-z'\n'3/4-x,+z,3/4-y'\n'3/4-x,1/2+z,1/4-y'\n'1/4-x,1/2+z,3/4-y'\n'1/4-x,+z,1/4-y'\n'3/4-z,+y,3/4-x'\n'3/4-z,1/2+y,1/4-x'\n'1/4-z,1/2+y,3/4-x'\n'1/4-z,+y,1/4-x'\n'+y,3/4-x,3/4-z'\n'+y,1/4-x,1/4-z'\n'1/2+y,1/4-x,3/4-z'\n'1/2+y,3/4-x,1/4-z'\n'+x,3/4-z,3/4-y'\n'+x,1/4-z,1/4-y'\n'1/2+x,1/4-z,3/4-y'\n'1/2+x,3/4-z,1/4-y'\n'+z,3/4-y,3/4-x'\n'+z,1/4-y,1/4-x'\n'1/2+z,1/4-y,3/4-x'\n'1/2+z,3/4-y,1/4-x'\n'1/4+y,3/4+x,1/2-z'\n'1/4+y,1/4+x,-z'\n'3/4+y,1/4+x,1/2-z'\n'3/4+y,3/4+x,-z'\n'1/4+x,3/4+z,1/2-y'\n'1/4+x,1/4+z,-y'\n'3/4+x,1/4+z,1/2-y'\n'3/4+x,3/4+z,-y'\n'1/4+z,3/4+y,1/2-x'\n'1/4+z,1/4+y,-x'\n'3/4+z,1/4+y,1/2-x'\n'3/4+z,3/4+y,-x'\n\nloop_\n_atom_site_label\n_atom_site_type_symbol\n_atom_site_fract_x\n_atom_site_fract_y\n_atom_site_fract_z\n    O1    O     0.8958    0.1042    0.0000\n    O2    O     0.9669    0.0762    0.0762\n    O3    O     0.9966    0.1429    0.9966\n    O4    O     0.9283    0.1770    0.0730\n    T1    Si    0.9469    0.1251    0.0364\n"
  },
  {
    "path": "pyxtal/database/cifs/Fd3.cif",
    "content": "data_global\r\n_chemical_name_mineral 'Northupite'\r\nloop_\r\n_publ_author_name\r\n'Dal Negro A'\r\n'Giuseppetti G'\r\n'Tadini C'\r\n_journal_name_full 'Tschermaks Mineralogische und Petrographische Mitteilungen'\r\n_journal_volume 22 \r\n_journal_year 1975\r\n_journal_page_first 158\r\n_journal_page_last 163\r\n_publ_section_title\r\n;\r\n Refinement of the crystal structure of northupite: Na3Mg(CO3)2Cl\r\n;\r\n_database_code_amcsd 0015654\r\n_chemical_compound_source 'Searles Lake, California, USA'\r\n_chemical_formula_sum 'Na3 Mg C2 O6 Cl'\r\n_chemical_formula_sum ''\r\n_cell_length_a 14.069\r\n_cell_length_b 14.069\r\n_cell_length_c 14.069\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 90\r\n_cell_volume 2784.772\r\n_exptl_crystal_density_diffrn      2.373\r\n_symmetry_space_group_name_H-M 'F d 3'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  'x,1/2+y,1/2+z'\r\n  '1/2+x,y,1/2+z'\r\n  '1/2+x,1/2+y,z'\r\n  '1/4+z,1/4+x,-y'\r\n  '1/4+z,3/4+x,1/2-y'\r\n  '3/4+z,1/4+x,1/2-y'\r\n  '3/4+z,3/4+x,-y'\r\n  '1/4+z,-x,1/4+y'\r\n  '1/4+z,1/2-x,3/4+y'\r\n  '3/4+z,-x,3/4+y'\r\n  '3/4+z,1/2-x,1/4+y'\r\n  '-z,1/4+x,1/4+y'\r\n  '-z,3/4+x,3/4+y'\r\n  '1/2-z,1/4+x,3/4+y'\r\n  '1/2-z,3/4+x,1/4+y'\r\n  '-z,-x,-y'\r\n  '-z,1/2-x,1/2-y'\r\n  '1/2-z,-x,1/2-y'\r\n  '1/2-z,1/2-x,-y'\r\n  'y,3/4-z,3/4-x'\r\n  'y,1/4-z,1/4-x'\r\n  '1/2+y,3/4-z,1/4-x'\r\n  '1/2+y,1/4-z,3/4-x'\r\n  '3/4-y,3/4-z,x'\r\n  '3/4-y,1/4-z,1/2+x'\r\n  '1/4-y,3/4-z,1/2+x'\r\n  '1/4-y,1/4-z,x'\r\n  '3/4-y,z,3/4-x'\r\n  '3/4-y,1/2+z,1/4-x'\r\n  '1/4-y,z,1/4-x'\r\n  '1/4-y,1/2+z,3/4-x'\r\n  'y,z,x'\r\n  'y,1/2+z,1/2+x'\r\n  '1/2+y,z,1/2+x'\r\n  '1/2+y,1/2+z,x'\r\n  '1/4+x,-y,1/4+z'\r\n  '1/4+x,1/2-y,3/4+z'\r\n  '3/4+x,-y,3/4+z'\r\n  '3/4+x,1/2-y,1/4+z'\r\n  '-x,1/4+y,1/4+z'\r\n  '-x,3/4+y,3/4+z'\r\n  '1/2-x,1/4+y,3/4+z'\r\n  '1/2-x,3/4+y,1/4+z'\r\n  '1/4+x,1/4+y,-z'\r\n  '1/4+x,3/4+y,1/2-z'\r\n  '3/4+x,1/4+y,1/2-z'\r\n  '3/4+x,3/4+y,-z'\r\n  '-x,-y,-z'\r\n  '-x,1/2-y,1/2-z'\r\n  '1/2-x,-y,1/2-z'\r\n  '1/2-x,1/2-y,-z'\r\n  '3/4-z,3/4-x,y'\r\n  '3/4-z,1/4-x,1/2+y'\r\n  '1/4-z,3/4-x,1/2+y'\r\n  '1/4-z,1/4-x,y'\r\n  '3/4-z,x,3/4-y'\r\n  '3/4-z,1/2+x,1/4-y'\r\n  '1/4-z,x,1/4-y'\r\n  '1/4-z,1/2+x,3/4-y'\r\n  'z,3/4-x,3/4-y'\r\n  'z,1/4-x,1/4-y'\r\n  '1/2+z,3/4-x,1/4-y'\r\n  '1/2+z,1/4-x,3/4-y'\r\n  'z,x,y'\r\n  'z,1/2+x,1/2+y'\r\n  '1/2+z,x,1/2+y'\r\n  '1/2+z,1/2+x,y'\r\n  '-y,1/4+z,1/4+x'\r\n  '-y,3/4+z,3/4+x'\r\n  '1/2-y,1/4+z,3/4+x'\r\n  '1/2-y,3/4+z,1/4+x'\r\n  '1/4+y,1/4+z,-x'\r\n  '1/4+y,3/4+z,1/2-x'\r\n  '3/4+y,1/4+z,1/2-x'\r\n  '3/4+y,3/4+z,-x'\r\n  '1/4+y,-z,1/4+x'\r\n  '1/4+y,1/2-z,3/4+x'\r\n  '3/4+y,-z,3/4+x'\r\n  '3/4+y,1/2-z,1/4+x'\r\n  '-y,-z,-x'\r\n  '-y,1/2-z,1/2-x'\r\n  '1/2-y,-z,1/2-x'\r\n  '1/2-y,1/2-z,-x'\r\n  '3/4-x,y,3/4-z'\r\n  '3/4-x,1/2+y,1/4-z'\r\n  '1/4-x,y,1/4-z'\r\n  '1/4-x,1/2+y,3/4-z'\r\n  'x,3/4-y,3/4-z'\r\n  'x,1/4-y,1/4-z'\r\n  '1/2+x,3/4-y,1/4-z'\r\n  '1/2+x,1/4-y,3/4-z'\r\n  '3/4-x,3/4-y,z'\r\n  '3/4-x,1/4-y,1/2+z'\r\n  '1/4-x,3/4-y,1/2+z'\r\n  '1/4-x,1/4-y,z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\n_atom_site_U_iso_or_equiv\r\nNa   0.89770   0.12500   0.12500   0.02001\r\nMg   0.50000   0.50000   0.50000   0.01051\r\nC   0.28309   0.28309   0.28309   0.01013\r\nO   0.26270   0.23011   0.35458   0.01520\r\nCl   0.00000   0.00000   0.00000   0.02647\r\nloop_\r\n_atom_site_aniso_label\r\n_atom_site_aniso_U_11\r\n_atom_site_aniso_U_22\r\n_atom_site_aniso_U_33\r\n_atom_site_aniso_U_12\r\n_atom_site_aniso_U_13\r\n_atom_site_aniso_U_23\r\nNa 0.02026 0.02116 0.01865 0.00000 0.00000 0.00391\r\nMg 0.01043 0.01043 0.01043 -0.00050 -0.00050 -0.00050\r\nC 0.01013 0.01013 0.01013 -0.00211 -0.00211 -0.00211\r\nO 0.01865 0.01434 0.01263 -0.00100 0.00180 0.00321\r\nCl 0.02647 0.02647 0.02647 -0.01023 0.01023 0.01023\r\n"
  },
  {
    "path": "pyxtal/database/cifs/Fd3.vasp",
    "content": "Na48 Mg16 C32 Cl16 O96\n1.0\n14.069000 0.000000 0.000000\n0.000000 14.069000 0.000000\n0.000000 0.000000 14.069000\nNa Mg C Cl O\n48 16 32 16 96\ndirect\n0.897700 0.125000 0.125000 Na\n0.897700 0.625000 0.625000 Na\n0.397700 0.125000 0.625000 Na\n0.397700 0.625000 0.125000 Na\n0.375000 0.147700 0.875000 Na\n0.375000 0.647700 0.375000 Na\n0.875000 0.147700 0.375000 Na\n0.875000 0.647700 0.875000 Na\n0.375000 0.102300 0.375000 Na\n0.375000 0.602300 0.875000 Na\n0.875000 0.102300 0.875000 Na\n0.875000 0.602300 0.375000 Na\n0.125000 0.625000 0.852300 Na\n0.125000 0.125000 0.352300 Na\n0.625000 0.625000 0.352300 Na\n0.625000 0.125000 0.852300 Na\n0.625000 0.625000 0.897700 Na\n0.625000 0.125000 0.397700 Na\n0.125000 0.625000 0.397700 Na\n0.125000 0.125000 0.897700 Na\n0.147700 0.875000 0.375000 Na\n0.147700 0.375000 0.875000 Na\n0.647700 0.875000 0.875000 Na\n0.647700 0.375000 0.375000 Na\n0.102300 0.375000 0.375000 Na\n0.102300 0.875000 0.875000 Na\n0.602300 0.375000 0.875000 Na\n0.602300 0.875000 0.375000 Na\n0.625000 0.852300 0.125000 Na\n0.625000 0.352300 0.625000 Na\n0.125000 0.852300 0.625000 Na\n0.125000 0.352300 0.125000 Na\n0.625000 0.897700 0.625000 Na\n0.625000 0.397700 0.125000 Na\n0.125000 0.897700 0.125000 Na\n0.125000 0.397700 0.625000 Na\n0.875000 0.375000 0.147700 Na\n0.875000 0.875000 0.647700 Na\n0.375000 0.375000 0.647700 Na\n0.375000 0.875000 0.147700 Na\n0.375000 0.375000 0.102300 Na\n0.375000 0.875000 0.602300 Na\n0.875000 0.375000 0.602300 Na\n0.875000 0.875000 0.102300 Na\n0.852300 0.125000 0.625000 Na\n0.852300 0.625000 0.125000 Na\n0.352300 0.125000 0.125000 Na\n0.352300 0.625000 0.625000 Na\n0.500000 0.500000 0.500000 Mg\n0.500000 0.000000 0.000000 Mg\n0.000000 0.500000 0.000000 Mg\n0.000000 0.000000 0.500000 Mg\n0.750000 0.750000 0.500000 Mg\n0.750000 0.250000 0.000000 Mg\n0.250000 0.750000 0.000000 Mg\n0.250000 0.250000 0.500000 Mg\n0.750000 0.500000 0.750000 Mg\n0.750000 0.000000 0.250000 Mg\n0.250000 0.500000 0.250000 Mg\n0.250000 0.000000 0.750000 Mg\n0.500000 0.750000 0.750000 Mg\n0.500000 0.250000 0.250000 Mg\n0.000000 0.750000 0.250000 Mg\n0.000000 0.250000 0.750000 Mg\n0.283090 0.283090 0.283090 C\n0.283090 0.783090 0.783090 C\n0.783090 0.283090 0.783090 C\n0.783090 0.783090 0.283090 C\n0.533090 0.533090 0.716910 C\n0.533090 0.033090 0.216910 C\n0.033090 0.533090 0.216910 C\n0.033090 0.033090 0.716910 C\n0.533090 0.716910 0.533090 C\n0.533090 0.216910 0.033090 C\n0.033090 0.716910 0.033090 C\n0.033090 0.216910 0.533090 C\n0.716910 0.533090 0.533090 C\n0.716910 0.033090 0.033090 C\n0.216910 0.533090 0.033090 C\n0.216910 0.033090 0.533090 C\n0.716910 0.716910 0.716910 C\n0.716910 0.216910 0.216910 C\n0.216910 0.716910 0.216910 C\n0.216910 0.216910 0.716910 C\n0.283090 0.466910 0.466910 C\n0.283090 0.966910 0.966910 C\n0.783090 0.466910 0.966910 C\n0.783090 0.966910 0.466910 C\n0.466910 0.466910 0.283090 C\n0.466910 0.966910 0.783090 C\n0.966910 0.466910 0.783090 C\n0.966910 0.966910 0.283090 C\n0.466910 0.283090 0.466910 C\n0.466910 0.783090 0.966910 C\n0.966910 0.283090 0.966910 C\n0.966910 0.783090 0.466910 C\n0.000000 0.000000 0.000000 Cl\n0.000000 0.500000 0.500000 Cl\n0.500000 0.000000 0.500000 Cl\n0.500000 0.500000 0.000000 Cl\n0.250000 0.250000 0.000000 Cl\n0.250000 0.750000 0.500000 Cl\n0.750000 0.250000 0.500000 Cl\n0.750000 0.750000 0.000000 Cl\n0.250000 0.000000 0.250000 Cl\n0.250000 0.500000 0.750000 Cl\n0.750000 0.000000 0.750000 Cl\n0.750000 0.500000 0.250000 Cl\n0.000000 0.250000 0.250000 Cl\n0.000000 0.750000 0.750000 Cl\n0.500000 0.250000 0.750000 Cl\n0.500000 0.750000 0.250000 Cl\n0.262700 0.230110 0.354580 O\n0.262700 0.730110 0.854580 O\n0.762700 0.230110 0.854580 O\n0.762700 0.730110 0.354580 O\n0.604580 0.512700 0.769890 O\n0.604580 0.012700 0.269890 O\n0.104580 0.512700 0.269890 O\n0.104580 0.012700 0.769890 O\n0.604580 0.737300 0.480110 O\n0.604580 0.237300 0.980110 O\n0.104580 0.737300 0.980110 O\n0.104580 0.237300 0.480110 O\n0.645420 0.512700 0.480110 O\n0.645420 0.012700 0.980110 O\n0.145420 0.512700 0.980110 O\n0.145420 0.012700 0.480110 O\n0.645420 0.737300 0.769890 O\n0.645420 0.237300 0.269890 O\n0.145420 0.737300 0.269890 O\n0.145420 0.237300 0.769890 O\n0.230110 0.395420 0.487300 O\n0.230110 0.895420 0.987300 O\n0.730110 0.395420 0.987300 O\n0.730110 0.895420 0.487300 O\n0.519890 0.395420 0.262700 O\n0.519890 0.895420 0.762700 O\n0.019890 0.395420 0.762700 O\n0.019890 0.895420 0.262700 O\n0.519890 0.354580 0.487300 O\n0.519890 0.854580 0.987300 O\n0.019890 0.354580 0.987300 O\n0.019890 0.854580 0.487300 O\n0.230110 0.354580 0.262700 O\n0.230110 0.854580 0.762700 O\n0.730110 0.354580 0.762700 O\n0.730110 0.854580 0.262700 O\n0.512700 0.769890 0.604580 O\n0.512700 0.269890 0.104580 O\n0.012700 0.769890 0.104580 O\n0.012700 0.269890 0.604580 O\n0.737300 0.480110 0.604580 O\n0.737300 0.980110 0.104580 O\n0.237300 0.480110 0.104580 O\n0.237300 0.980110 0.604580 O\n0.512700 0.480110 0.645420 O\n0.512700 0.980110 0.145420 O\n0.012700 0.480110 0.145420 O\n0.012700 0.980110 0.645420 O\n0.737300 0.769890 0.645420 O\n0.737300 0.269890 0.145420 O\n0.237300 0.769890 0.145420 O\n0.237300 0.269890 0.645420 O\n0.395420 0.487300 0.230110 O\n0.395420 0.987300 0.730110 O\n0.895420 0.487300 0.730110 O\n0.895420 0.987300 0.230110 O\n0.395420 0.262700 0.519890 O\n0.395420 0.762700 0.019890 O\n0.895420 0.262700 0.019890 O\n0.895420 0.762700 0.519890 O\n0.354580 0.487300 0.519890 O\n0.354580 0.987300 0.019890 O\n0.854580 0.487300 0.019890 O\n0.854580 0.987300 0.519890 O\n0.354580 0.262700 0.230110 O\n0.354580 0.762700 0.730110 O\n0.854580 0.262700 0.730110 O\n0.854580 0.762700 0.230110 O\n0.769890 0.604580 0.512700 O\n0.769890 0.104580 0.012700 O\n0.269890 0.604580 0.012700 O\n0.269890 0.104580 0.512700 O\n0.480110 0.604580 0.737300 O\n0.480110 0.104580 0.237300 O\n0.980110 0.604580 0.237300 O\n0.980110 0.104580 0.737300 O\n0.480110 0.645420 0.512700 O\n0.480110 0.145420 0.012700 O\n0.980110 0.645420 0.012700 O\n0.980110 0.145420 0.512700 O\n0.769890 0.645420 0.737300 O\n0.769890 0.145420 0.237300 O\n0.269890 0.645420 0.237300 O\n0.269890 0.145420 0.737300 O\n0.487300 0.230110 0.395420 O\n0.487300 0.730110 0.895420 O\n0.987300 0.230110 0.895420 O\n0.987300 0.730110 0.395420 O\n0.262700 0.519890 0.395420 O\n0.262700 0.019890 0.895420 O\n0.762700 0.519890 0.895420 O\n0.762700 0.019890 0.395420 O\n0.487300 0.519890 0.354580 O\n0.487300 0.019890 0.854580 O\n0.987300 0.519890 0.854580 O\n0.987300 0.019890 0.354580 O\n"
  },
  {
    "path": "pyxtal/database/cifs/Fd3m.cif",
    "content": "data_global\r\n_chemical_name_mineral 'Ahrensite'\r\nloop_\r\n_publ_author_name\r\n'Finger L W'\r\n'Hazen R M'\r\n'Yagi T'\r\n_journal_name_full 'American Mineralogist'\r\n_journal_volume 64 \r\n_journal_year 1979\r\n_journal_page_first 1002\r\n_journal_page_last 1009\r\n_publ_section_title\r\n;\r\n Crystal structures and electron densities of nickel and iron silicate spinels at\r\n elevated temperature or pressure\r\n;\r\n_database_code_amcsd 0000748\r\n_chemical_compound_source 'Synthetic'\r\n_chemical_formula_sum 'Fe2 Si O4'\r\n_chemical_formula_sum ''\r\n_cell_length_a 8.236\r\n_cell_length_b 8.236\r\n_cell_length_c 8.236\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 90\r\n_cell_volume 558.662\r\n_exptl_crystal_density_diffrn      4.846\r\n_symmetry_space_group_name_H-M 'F d 3 m'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  'x,1/2+y,1/2+z'\r\n  '1/2+x,y,1/2+z'\r\n  '1/2+x,1/2+y,z'\r\n  '3/4+z,1/2-x,1/4+y'\r\n  '3/4+z,-x,3/4+y'\r\n  '1/4+z,1/2-x,3/4+y'\r\n  '1/4+z,-x,1/4+y'\r\n  '3/4-y,1/2+z,1/4-x'\r\n  '3/4-y,+z,3/4-x'\r\n  '1/4-y,1/2+z,3/4-x'\r\n  '1/4-y,+z,1/4-x'\r\n  '3/4+x,1/2-y,1/4+z'\r\n  '3/4+x,-y,3/4+z'\r\n  '1/4+x,1/2-y,3/4+z'\r\n  '1/4+x,-y,1/4+z'\r\n  '3/4-z,1/2+x,1/4-y'\r\n  '3/4-z,+x,3/4-y'\r\n  '1/4-z,1/2+x,3/4-y'\r\n  '1/4-z,+x,1/4-y'\r\n  '3/4+y,1/2-z,1/4+x'\r\n  '3/4+y,-z,3/4+x'\r\n  '1/4+y,1/2-z,3/4+x'\r\n  '1/4+y,-z,1/4+x'\r\n  '3/4-x,1/2+y,1/4-z'\r\n  '3/4-x,+y,3/4-z'\r\n  '1/4-x,1/2+y,3/4-z'\r\n  '1/4-x,+y,1/4-z'\r\n  '1/2+x,3/4-z,1/4-y'\r\n  '1/2+x,1/4-z,3/4-y'\r\n  '+x,3/4-z,3/4-y'\r\n  '+x,1/4-z,1/4-y'\r\n  '1/2-z,3/4+y,1/4+x'\r\n  '1/2-z,1/4+y,3/4+x'\r\n  '-z,3/4+y,3/4+x'\r\n  '-z,1/4+y,1/4+x'\r\n  '1/2+y,3/4-x,1/4-z'\r\n  '1/2+y,1/4-x,3/4-z'\r\n  '+y,3/4-x,3/4-z'\r\n  '+y,1/4-x,1/4-z'\r\n  '1/2-x,3/4+z,1/4+y'\r\n  '1/2-x,1/4+z,3/4+y'\r\n  '-x,3/4+z,3/4+y'\r\n  '-x,1/4+z,1/4+y'\r\n  '1/2+z,3/4-y,1/4-x'\r\n  '1/2+z,1/4-y,3/4-x'\r\n  '+z,3/4-y,3/4-x'\r\n  '+z,1/4-y,1/4-x'\r\n  '1/2-y,3/4+x,1/4+z'\r\n  '1/2-y,1/4+x,3/4+z'\r\n  '-y,3/4+x,3/4+z'\r\n  '-y,1/4+x,1/4+z'\r\n  'x,1/2+z,1/2+y'\r\n  'x,+z,+y'\r\n  '1/2+x,1/2+z,+y'\r\n  '1/2+x,+z,1/2+y'\r\n  '-z,1/2-y,1/2-x'\r\n  '-z,-y,-x'\r\n  '1/2-z,1/2-y,-x'\r\n  '1/2-z,-y,1/2-x'\r\n  'y,1/2+x,1/2+z'\r\n  'y,+x,+z'\r\n  '1/2+y,1/2+x,+z'\r\n  '1/2+y,+x,1/2+z'\r\n  '-x,1/2-z,1/2-y'\r\n  '-x,-z,-y'\r\n  '1/2-x,1/2-z,-y'\r\n  '1/2-x,-z,1/2-y'\r\n  'z,1/2+y,1/2+x'\r\n  'z,+y,+x'\r\n  '1/2+z,1/2+y,+x'\r\n  '1/2+z,+y,1/2+x'\r\n  '-y,1/2-x,1/2-z'\r\n  '-y,-x,-z'\r\n  '1/2-y,1/2-x,-z'\r\n  '1/2-y,-x,1/2-z'\r\n  '3/4+z,1/4+x,1/2-y'\r\n  '3/4+z,3/4+x,-y'\r\n  '1/4+z,1/4+x,-y'\r\n  '1/4+z,3/4+x,1/2-y'\r\n  '3/4-y,1/4-z,1/2+x'\r\n  '3/4-y,3/4-z,+x'\r\n  '1/4-y,1/4-z,+x'\r\n  '1/4-y,3/4-z,1/2+x'\r\n  '3/4+x,1/4+y,1/2-z'\r\n  '3/4+x,3/4+y,-z'\r\n  '1/4+x,1/4+y,-z'\r\n  '1/4+x,3/4+y,1/2-z'\r\n  '3/4-z,1/4-x,1/2+y'\r\n  '3/4-z,3/4-x,+y'\r\n  '1/4-z,1/4-x,+y'\r\n  '1/4-z,3/4-x,1/2+y'\r\n  '3/4+y,1/4+z,1/2-x'\r\n  '3/4+y,3/4+z,-x'\r\n  '1/4+y,1/4+z,-x'\r\n  '1/4+y,3/4+z,1/2-x'\r\n  '3/4-x,1/4-y,1/2+z'\r\n  '3/4-x,3/4-y,+z'\r\n  '1/4-x,1/4-y,+z'\r\n  '1/4-x,3/4-y,1/2+z'\r\n  '-z,3/4+x,3/4+y'\r\n  '-z,1/4+x,1/4+y'\r\n  '1/2-z,3/4+x,1/4+y'\r\n  '1/2-z,1/4+x,3/4+y'\r\n  'y,3/4-z,3/4-x'\r\n  'y,1/4-z,1/4-x'\r\n  '1/2+y,3/4-z,1/4-x'\r\n  '1/2+y,1/4-z,3/4-x'\r\n  '-x,3/4+y,3/4+z'\r\n  '-x,1/4+y,1/4+z'\r\n  '1/2-x,3/4+y,1/4+z'\r\n  '1/2-x,1/4+y,3/4+z'\r\n  'z,3/4-x,3/4-y'\r\n  'z,1/4-x,1/4-y'\r\n  '1/2+z,3/4-x,1/4-y'\r\n  '1/2+z,1/4-x,3/4-y'\r\n  '-y,3/4+z,3/4+x'\r\n  '-y,1/4+z,1/4+x'\r\n  '1/2-y,3/4+z,1/4+x'\r\n  '1/2-y,1/4+z,3/4+x'\r\n  'x,3/4-y,3/4-z'\r\n  'x,1/4-y,1/4-z'\r\n  '1/2+x,3/4-y,1/4-z'\r\n  '1/2+x,1/4-y,3/4-z'\r\n  '1/4-x,1/2+z,3/4-y'\r\n  '1/4-x,+z,1/4-y'\r\n  '3/4-x,1/2+z,1/4-y'\r\n  '3/4-x,+z,3/4-y'\r\n  '1/4+z,1/2-y,3/4+x'\r\n  '1/4+z,-y,1/4+x'\r\n  '3/4+z,1/2-y,1/4+x'\r\n  '3/4+z,-y,3/4+x'\r\n  '1/4-y,1/2+x,3/4-z'\r\n  '1/4-y,+x,1/4-z'\r\n  '3/4-y,1/2+x,1/4-z'\r\n  '3/4-y,+x,3/4-z'\r\n  '1/4+x,1/2-z,3/4+y'\r\n  '1/4+x,-z,1/4+y'\r\n  '3/4+x,1/2-z,1/4+y'\r\n  '3/4+x,-z,3/4+y'\r\n  '1/4-z,1/2+y,3/4-x'\r\n  '1/4-z,+y,1/4-x'\r\n  '3/4-z,1/2+y,1/4-x'\r\n  '3/4-z,+y,3/4-x'\r\n  '1/4+y,1/2-x,3/4+z'\r\n  '1/4+y,-x,1/4+z'\r\n  '3/4+y,1/2-x,1/4+z'\r\n  '3/4+y,-x,3/4+z'\r\n  '3/4-x,3/4-z,y'\r\n  '3/4-x,1/4-z,1/2+y'\r\n  '1/4-x,3/4-z,1/2+y'\r\n  '1/4-x,1/4-z,y'\r\n  '3/4+z,3/4+y,-x'\r\n  '3/4+z,1/4+y,1/2-x'\r\n  '1/4+z,3/4+y,1/2-x'\r\n  '1/4+z,1/4+y,-x'\r\n  '3/4-y,3/4-x,z'\r\n  '3/4-y,1/4-x,1/2+z'\r\n  '1/4-y,3/4-x,1/2+z'\r\n  '1/4-y,1/4-x,z'\r\n  '3/4+x,3/4+z,-y'\r\n  '3/4+x,1/4+z,1/2-y'\r\n  '1/4+x,3/4+z,1/2-y'\r\n  '1/4+x,1/4+z,-y'\r\n  '3/4-z,3/4-y,x'\r\n  '3/4-z,1/4-y,1/2+x'\r\n  '1/4-z,3/4-y,1/2+x'\r\n  '1/4-z,1/4-y,x'\r\n  '3/4+y,3/4+x,-z'\r\n  '3/4+y,1/4+x,1/2-z'\r\n  '1/4+y,3/4+x,1/2-z'\r\n  '1/4+y,1/4+x,-z'\r\n  '-z,-x,-y'\r\n  '-z,1/2-x,1/2-y'\r\n  '1/2-z,-x,1/2-y'\r\n  '1/2-z,1/2-x,-y'\r\n  'y,z,x'\r\n  'y,1/2+z,1/2+x'\r\n  '1/2+y,z,1/2+x'\r\n  '1/2+y,1/2+z,x'\r\n  '-x,-y,-z'\r\n  '-x,1/2-y,1/2-z'\r\n  '1/2-x,-y,1/2-z'\r\n  '1/2-x,1/2-y,-z'\r\n  'z,x,y'\r\n  'z,1/2+x,1/2+y'\r\n  '1/2+z,x,1/2+y'\r\n  '1/2+z,1/2+x,y'\r\n  '-y,-z,-x'\r\n  '-y,1/2-z,1/2-x'\r\n  '1/2-y,-z,1/2-x'\r\n  '1/2-y,1/2-z,-x'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\n_atom_site_U_iso_or_equiv\r\nFe   0.50000   0.50000   0.50000   0.00507\r\nSi   0.12500   0.12500   0.12500   0.00342\r\nO   0.24090   0.24090   0.24090   0.00519\r\n"
  },
  {
    "path": "pyxtal/database/cifs/GUMMUW.cif",
    "content": "####################################################################### \r\n# \r\n# This file contains crystal structure data downloaded from the \r\n# Cambridge Structural Database (CSD) hosted by the Cambridge \r\n# Crystallographic Data Centre (CCDC).\r\n# \r\n# Full information about CCDC data access policies and citation \r\n# guidelines are available at http://www.ccdc.cam.ac.uk/access/V1 \r\n# \r\n# Audit and citation data items may have been added by the CCDC. \r\n# Please retain this information to preserve the provenance of \r\n# this file and to allow appropriate attribution of the data. \r\n# \r\n#######################################################################\r\n\r\ndata_new\r\n_audit_block_doi                 10.5517/cc4y9dr\r\n_database_code_depnum_ccdc_archive 'CCDC 147324'\r\nloop_\r\n_citation_id\r\n_citation_doi\r\n_citation_year\r\n1 10.1039/b100020i 2001\r\n2 10.1002/1521-3765(20020415)8:8<1804::AID-CHEM1804>3.0.CO;2-C 2002\r\n_audit_update_record             \r\n;\r\n2000-07-18 deposited with the CCDC.\t2021-07-02 downloaded from the CCDC.\r\n;\r\n\r\n_audit_creation_method           SHELXL-97\r\n_chemical_name_systematic        \r\n; \r\n? \r\n;\r\n_chemical_name_common            'Croconic acid'\r\n_chemical_melting_point          ?\r\n_chemical_formula_moiety         ?\r\n_chemical_formula_sum            'C5 H2 O5'\r\n_chemical_formula_weight         142.07\r\n\r\nloop_\r\n_atom_type_symbol\r\n_atom_type_description\r\n_atom_type_scat_dispersion_real\r\n_atom_type_scat_dispersion_imag\r\n_atom_type_scat_source\r\nC C 0.0033 0.0016 'International Tables Vol C Tables 4.2.6.8 and 6.1.1.4'\r\nH H 0.0000 0.0000 'International Tables Vol C Tables 4.2.6.8 and 6.1.1.4'\r\nO O 0.0106 0.0060 'International Tables Vol C Tables 4.2.6.8 and 6.1.1.4'\r\n\r\n_symmetry_cell_setting           Orthorhombic\r\n_symmetry_space_group_name_H-M   Pca21\r\n\r\nloop_\r\n_symmetry_equiv_pos_as_xyz\r\n'x, y, z'\r\n'-x+1/2, y, z+1/2'\r\n'x+1/2, -y, z'\r\n'-x, -y, z+1/2'\r\n\r\n_cell_length_a                   8.7108(8)\r\n_cell_length_b                   5.1683(5)\r\n_cell_length_c                   10.9562(9)\r\n_cell_angle_alpha                90.00\r\n_cell_angle_beta                 90.00\r\n_cell_angle_gamma                90.00\r\n_cell_volume                     493.25(8)\r\n_cell_formula_units_Z            4\r\n_cell_measurement_temperature    293(2)\r\n_cell_measurement_reflns_used    ?\r\n_cell_measurement_theta_min      ?\r\n_cell_measurement_theta_max      ?\r\n\r\n_exptl_crystal_description       'hexagonal prism'\r\n_exptl_crystal_colour            yellow\r\n_exptl_crystal_size_max          0.17\r\n_exptl_crystal_size_mid          0.15\r\n_exptl_crystal_size_min          0.08\r\n_exptl_crystal_density_meas      ?\r\n_exptl_crystal_density_diffrn    1.913\r\n_exptl_crystal_density_method    'not measured'\r\n_exptl_crystal_F_000             288\r\n_exptl_absorpt_coefficient_mu    0.179\r\n_exptl_absorpt_correction_type   ?\r\n_exptl_absorpt_correction_T_min  0.9736\r\n_exptl_absorpt_correction_T_max  0.9823\r\n_exptl_absorpt_process_details   ?\r\n\r\n_exptl_special_details           \r\n; \r\n? \r\n;\r\n\r\n_diffrn_ambient_temperature      293(2)\r\n_diffrn_radiation_wavelength     0.71073\r\n_diffrn_radiation_type           MoK\\a\r\n_diffrn_radiation_source         'fine-focus sealed tube'\r\n_diffrn_radiation_monochromator  graphite\r\n_diffrn_measurement_device_type  ?\r\n_diffrn_measurement_method       ?\r\n_diffrn_detector_area_resol_mean ?\r\n_diffrn_standards_number         ?\r\n_diffrn_standards_interval_count ?\r\n_diffrn_standards_interval_time  ?\r\n_diffrn_standards_decay_%        ?\r\n_diffrn_reflns_number            6525\r\n_diffrn_reflns_av_R_equivalents  0.1141\r\n_diffrn_reflns_av_sigmaI/netI    0.1166\r\n_diffrn_reflns_limit_h_min       -12\r\n_diffrn_reflns_limit_h_max       13\r\n_diffrn_reflns_limit_k_min       -7\r\n_diffrn_reflns_limit_k_max       8\r\n_diffrn_reflns_limit_l_min       -15\r\n_diffrn_reflns_limit_l_max       17\r\n_diffrn_reflns_theta_min         3.72\r\n_diffrn_reflns_theta_max         33.88\r\n_reflns_number_total             1838\r\n_reflns_number_gt                1017\r\n_reflns_threshold_expression     >2sigma(I)\r\n\r\n_computing_data_collection       ?\r\n_computing_cell_refinement       ?\r\n_computing_data_reduction        ?\r\n_computing_structure_solution    'SHELXS-97 (Sheldrick, 1990)'\r\n_computing_structure_refinement  'SHELXL-97 (Sheldrick, 1997)'\r\n_computing_molecular_graphics    ?\r\n_computing_publication_material  ?\r\n\r\n_refine_special_details          \r\n; \r\nRefinement of F^2^ against ALL reflections.  The weighted R-factor wR and \r\ngoodness of fit S are based on F^2^, conventional R-factors R are based \r\non F, with F set to zero for negative F^2^. The threshold expression of \r\nF^2^ > 2sigma(F^2^) is used only for calculating R-factors(gt) etc. and is \r\nnot relevant to the choice of reflections for refinement.  R-factors based \r\non F^2^ are statistically about twice as large as those based on F, and R- \r\nfactors based on ALL data will be even larger. \r\n;\r\n\r\n_refine_ls_structure_factor_coef Fsqd\r\n_refine_ls_matrix_type           full\r\n_refine_ls_weighting_scheme      calc\r\n_refine_ls_weighting_details     \r\n'calc w==1/[\\s^2^(Fo^2^)+(0.0456P)^2^+0.0000P] where P==(Fo^2^+2Fc^2^)/3'\r\n_atom_sites_solution_primary     direct\r\n_atom_sites_solution_secondary   difmap\r\n_atom_sites_solution_hydrogens   geom\r\n_refine_ls_hydrogen_treatment    mixed\r\n_refine_ls_extinction_method     none\r\n_refine_ls_extinction_coef       ?\r\n_refine_ls_abs_structure_details 'Flack H D (1983), Acta Cryst. A39, 876-881'\r\n_refine_ls_abs_structure_Flack   3(3)\r\n_refine_ls_number_reflns         1838\r\n_refine_ls_number_parameters     91\r\n_refine_ls_number_restraints     1\r\n_refine_ls_R_factor_all          0.1114\r\n_refine_ls_R_factor_gt           0.0549\r\n_refine_ls_wR_factor_ref         0.1240\r\n_refine_ls_wR_factor_gt          0.1076\r\n_refine_ls_goodness_of_fit_ref   0.864\r\n_refine_ls_restrained_S_all      0.864\r\n_refine_ls_shift/su_max          0.020\r\n_refine_ls_shift/su_mean         0.002\r\n\r\nloop_\r\n_atom_site_label\r\n_atom_site_type_symbol\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\n_atom_site_U_iso_or_equiv\r\n_atom_site_adp_type\r\n_atom_site_occupancy\r\n_atom_site_symmetry_multiplicity\r\n_atom_site_calc_flag\r\n_atom_site_refinement_flags\r\n_atom_site_disorder_assembly\r\n_atom_site_disorder_group\r\nO1 O 0.47159(18) 1.0892(3) -0.1926(4) 0.0321(4) Uani 1 1 d . . .\r\nO2 O 0.5740(3) 0.7892(7) 0.0256(2) 0.0287(7) Uani 1 1 d . . .\r\nO3 O 0.7505(3) 0.3514(6) -0.0598(3) 0.0281(7) Uani 1 1 d . . .\r\nO4 O 0.7643(3) 0.3611(6) -0.3212(2) 0.0305(7) Uani 1 1 d . . .\r\nO5 O 0.5887(3) 0.8043(8) -0.4110(2) 0.0324(8) Uani 1 1 d . . .\r\nC1 C 0.5469(2) 0.8937(4) -0.1934(5) 0.0225(4) Uani 1 1 d . . .\r\nC2 C 0.6005(4) 0.7420(9) -0.0886(3) 0.0228(10) Uani 1 1 d . . .\r\nC3 C 0.6857(4) 0.5308(8) -0.1261(3) 0.0222(9) Uani 1 1 d . . .\r\nC4 C 0.6968(4) 0.5211(9) -0.2573(4) 0.0215(8) Uani 1 1 d . . .\r\nC5 C 0.6080(4) 0.7509(8) -0.3043(4) 0.0213(9) Uani 1 1 d . . .\r\nH2 H 0.5274 0.9452 0.0472 0.050 Uiso 1 1 d . . .\r\nH3 H 0.7499 0.4053 0.0280 0.050 Uiso 1 1 d . . .\r\n\r\nloop_\r\n_atom_site_aniso_label\r\n_atom_site_aniso_U_11\r\n_atom_site_aniso_U_22\r\n_atom_site_aniso_U_33\r\n_atom_site_aniso_U_23\r\n_atom_site_aniso_U_13\r\n_atom_site_aniso_U_12\r\nO1 0.0335(9) 0.0303(8) 0.0325(8) 0.002(2) 0.0054(19) 0.0088(7)\r\nO2 0.0348(14) 0.0362(19) 0.0150(14) -0.0028(13) 0.0019(9) 0.0088(12)\r\nO3 0.0331(15) 0.0325(16) 0.0189(16) -0.0042(14) -0.0029(10) 0.0092(14)\r\nO4 0.0402(16) 0.0388(17) 0.0126(15) -0.0043(13) 0.0045(11) 0.0132(14)\r\nO5 0.0358(16) 0.040(2) 0.0210(16) 0.0093(14) 0.0010(10) 0.0108(13)\r\nC1 0.0223(10) 0.0258(10) 0.0194(9) -0.003(2) 0.001(2) 0.0006(8)\r\nC2 0.0201(15) 0.032(3) 0.016(2) -0.0092(16) 0.0021(13) -0.0034(15)\r\nC3 0.0222(18) 0.031(2) 0.0132(19) 0.0042(16) -0.0017(13) -0.0005(16)\r\nC4 0.0220(15) 0.025(2) 0.0177(19) 0.0025(15) -0.0026(15) 0.0038(15)\r\nC5 0.0193(14) 0.025(2) 0.0196(19) -0.0054(16) 0.0021(13) 0.0043(13)\r\n\r\n_geom_special_details            \r\n; \r\nAll esds (except the esd in the dihedral angle between two l.s. planes) \r\nare estimated using the full covariance matrix.  The cell esds are taken \r\ninto account individually in the estimation of esds in distances, angles \r\nand torsion angles; correlations between esds in cell parameters are only \r\nused when they are defined by crystal symmetry.  An approximate (isotropic) \r\ntreatment of cell esds is used for estimating esds involving l.s. planes. \r\n;\r\n\r\nloop_\r\n_geom_bond_atom_site_label_1\r\n_geom_bond_atom_site_label_2\r\n_geom_bond_distance\r\n_geom_bond_site_symmetry_2\r\n_geom_bond_publ_flag\r\nO1 C1 1.205(2) . ?\r\nO2 C2 1.296(4) . ?\r\nO2 H2 0.9332 . ?\r\nO3 C3 1.306(5) . ?\r\nO3 H3 1.0015 . ?\r\nO4 C4 1.233(5) . ?\r\nO5 C5 1.213(4) . ?\r\nC1 C2 1.466(6) . ?\r\nC1 C5 1.518(6) . ?\r\nC2 C3 1.382(5) . ?\r\nC3 C4 1.442(3) . ?\r\nC4 C5 1.508(6) . ?\r\n\r\nloop_\r\n_geom_angle_atom_site_label_1\r\n_geom_angle_atom_site_label_2\r\n_geom_angle_atom_site_label_3\r\n_geom_angle\r\n_geom_angle_site_symmetry_1\r\n_geom_angle_site_symmetry_3\r\n_geom_angle_publ_flag\r\nC2 O2 H2 119.0 . . ?\r\nC3 O3 H3 109.5 . . ?\r\nO1 C1 C2 128.0(5) . . ?\r\nO1 C1 C5 127.2(5) . . ?\r\nC2 C1 C5 104.79(17) . . ?\r\nO2 C2 C3 122.1(4) . . ?\r\nO2 C2 C1 126.8(4) . . ?\r\nC3 C2 C1 111.2(3) . . ?\r\nO3 C3 C2 128.9(4) . . ?\r\nO3 C3 C4 120.0(4) . . ?\r\nC2 C3 C4 111.0(4) . . ?\r\nO4 C4 C3 128.5(5) . . ?\r\nO4 C4 C5 125.3(4) . . ?\r\nC3 C4 C5 106.2(4) . . ?\r\nO5 C5 C4 125.4(4) . . ?\r\nO5 C5 C1 127.8(4) . . ?\r\nC4 C5 C1 106.8(4) . . ?\r\n\r\n_diffrn_measured_fraction_theta_max 0.959\r\n_diffrn_reflns_theta_full        33.88\r\n_diffrn_measured_fraction_theta_full 0.959\r\n_refine_diff_density_max         0.334\r\n_refine_diff_density_min         -0.322\r\n_refine_diff_density_rms         0.081\r\n"
  },
  {
    "path": "pyxtal/database/cifs/GeF2.cif",
    "content": "# generated using pymatgen\ndata_GeF2\n_symmetry_space_group_name_H-M   P2_12_12_1\n_cell_length_a   4.97134300\n_cell_length_b   5.23964400\n_cell_length_c   8.24597100\n_cell_angle_alpha   90.00000000\n_cell_angle_beta   90.00000000\n_cell_angle_gamma   90.00000000\n_symmetry_Int_Tables_number   19\n_chemical_formula_structural   GeF2\n_chemical_formula_sum   'Ge4 F8'\n_cell_volume   214.79160939\n_cell_formula_units_Z   4\nloop_\n _symmetry_equiv_pos_site_id\n _symmetry_equiv_pos_as_xyz\n  1  'x, y, z'\n  2  '-x+1/2, -y, z+1/2'\n  3  'x+1/2, -y+1/2, -z'\n  4  '-x, y+1/2, -z+1/2'\nloop_\n _atom_site_type_symbol\n _atom_site_label\n _atom_site_symmetry_multiplicity\n _atom_site_fract_x\n _atom_site_fract_y\n _atom_site_fract_z\n _atom_site_occupancy\n  Ge  Ge0  4  0.22608000  0.02532300  0.12401500  1\n  F  F1  4  0.03444500  0.62701000  0.53073100  1\n  F  F2  4  0.09464500  0.25380100  0.28527400  1\n"
  },
  {
    "path": "pyxtal/database/cifs/HAHCOI.cif",
    "content": "\r\n#######################################################################\r\n#\r\n#                 Cambridge Crystallographic Data Centre\r\n#                                CCDC\r\n#\r\n#######################################################################\r\n#\r\n# If this CIF has been generated from an entry in the Cambridge\r\n# Structural Database, then it will include bibliographic, chemical,\r\n# crystal, experimental, refinement or atomic coordinate data resulting\r\n# from the CCDC's data processing and validation procedures.\r\n#\r\n#######################################################################\r\n\r\ndata_CSD_CIF_HAHCOI\r\n_audit_creation_date 1994-03-15\r\n_audit_creation_method CSD-ConQuest-V1\r\n_database_code_CSD HAHCOI\r\n_database_code_depnum_ccdc_archive 'CCDC 1171543'\r\n_chemical_formula_sum 'C12 H6 S2'\r\n_chemical_formula_moiety\r\n;\r\nC12 H6 S2\r\n;\r\n_journal_coden_Cambridge 241\r\n_journal_year 1993\r\n_journal_page_first 365\r\n_journal_name_full 'Chem.Lett. '\r\nloop_\r\n_publ_author_name\r\n\"K.Takimiya\"\r\n\"F.Yashiki\"\r\n\"Y.Aso\"\r\n\"T.Otsubo\"\r\n\"F.Ogura\"\r\n_chemical_name_systematic\r\n;\r\nNaphtho(1,8-bc:4,5-b'c')dithiophene\r\n;\r\n_chemical_melting_point 460.15\r\n_cell_volume    453.272\r\n_exptl_crystal_colour 'orange'\r\n_exptl_crystal_density_diffrn 1.571\r\n_exptl_special_details\r\n;\r\nMelts with decomposition.\r\n\r\n;\r\n_exptl_crystal_description 'needle'\r\n_exptl_crystal_preparation 'chloroform/hexane'\r\n_diffrn_ambient_temperature ?\r\n_diffrn_special_details\r\n;\r\nThe study was carried out at room temperature,in the range 283-303K\r\n\r\n;\r\n#These two values have been output from a single CSD field.\r\n_refine_ls_R_factor_gt 0.042\r\n_refine_ls_wR_factor_gt 0.042\r\n_symmetry_cell_setting monoclinic\r\n_symmetry_space_group_name_H-M 'P 21'\r\n_symmetry_Int_Tables_number 4\r\nloop_\r\n_symmetry_equiv_pos_site_id\r\n_symmetry_equiv_pos_as_xyz\r\n1 x,y,z\r\n2 -x,1/2+y,-z\r\n_cell_length_a 7.837(1)\r\n_cell_length_b 4.128\r\n_cell_length_c 14.035(4)\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 93.35(6)\r\n_cell_angle_gamma 90\r\n_cell_formula_units_Z 2\r\nloop_\r\n_atom_type_symbol\r\n_atom_type_radius_bond\r\nC 0.68\r\nH 0.23\r\nS 1.02\r\nloop_\r\n_atom_site_label\r\n_atom_site_type_symbol\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\nS1 S 0.66465(11) 0.58211 0.94070(2)\r\nC1 C 0.80971(47) 0.3893(12) 0.87202(25)\r\nC2 C 0.98442(49) 0.3110(14) 0.88645(28)\r\nC3 C 1.06631(50) 0.1400(14) 0.81872(28)\r\nC4 C 0.97754(46) 0.0477(13) 0.73275(25)\r\nS2 S 1.03698(13) -0.16588(44) 0.63204(7)\r\nC5 C 0.83589(52) -0.1341(17) 0.57602(26)\r\nC6 C 0.72107(50) 0.0292(13) 0.6313(1)\r\nC7 C 0.54110(53) 0.1138(16) 0.61855(28)\r\nC8 C 0.46019(52) 0.2818(13) 0.68467(29)\r\nC9 C 0.54744(43) 0.3822(13) 0.77512(25)\r\nC10 C 0.49757(47) 0.5459(15) 0.85512(29)\r\nC11 C 0.72390(44) 0.2979(13) 0.78703(25)\r\nC12 C 0.80575(46) 0.1256(13) 0.71884(25)\r\nH1 H 1.03710 0.38557 0.93674\r\nH2 H 1.17610 0.09162 0.82903\r\nH3 H 0.81570 -0.23800 0.52034\r\nH4 H 0.49091 0.04585 0.56568\r\nH5 H 0.35434 0.32937 0.66847\r\nH6 H 0.42053 0.59755 0.86131\r\n#END\r\n"
  },
  {
    "path": "pyxtal/database/cifs/I41amd.vasp",
    "content": "Sn4\n1.0\n5.819700 0.000000 0.000000\n0.000000 5.819700 0.000000\n0.000000 0.000000 3.174880\nSn\n4\ndirect\n0.000000 0.000000 0.000000 Sn\n0.500000 0.500000 0.500000 Sn\n0.000000 0.500000 0.250000 Sn\n0.500000 0.000000 0.750000 Sn\n"
  },
  {
    "path": "pyxtal/database/cifs/I4_132.cif",
    "content": "data_global\r\n_chemical_name_mineral 'Petzite'\r\nloop_\r\n_publ_author_name\r\n'Frueh A J'\r\n_journal_name_full 'American Mineralogist'\r\n_journal_volume 44 \r\n_journal_year 1959\r\n_journal_page_first 693\r\n_journal_page_last 701\r\n_publ_section_title\r\n;\r\n The crystallography of petzite, Ag3AuTe2\r\n;\r\n_database_code_amcsd 0000087\r\n_chemical_formula_sum 'Ag3 Au Te2'\r\n_chemical_formula_sum ''\r\n_cell_length_a 10.38\r\n_cell_length_b 10.38\r\n_cell_length_c 10.38\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 90\r\n_cell_volume 1118.387\r\n_exptl_crystal_density_diffrn      9.215\r\n_symmetry_space_group_name_H-M 'I 41 3 2'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  '1/2+x,1/2+y,1/2+z'\r\n  '-z,1/2+x,1/2-y'\r\n  '1/2-z,+x,-y'\r\n  '-y,1/2+z,1/2-x'\r\n  '1/2-y,+z,-x'\r\n  '-x,1/2+y,1/2-z'\r\n  '1/2-x,+y,-z'\r\n  '3/4-x,1/4+z,3/4+y'\r\n  '1/4-x,3/4+z,1/4+y'\r\n  '3/4-z,1/4+y,3/4+x'\r\n  '1/4-z,3/4+y,1/4+x'\r\n  '3/4-y,1/4+x,3/4+z'\r\n  '1/4-y,3/4+x,1/4+z'\r\n  '1/4-x,1/4-z,1/4-y'\r\n  '3/4-x,3/4-z,3/4-y'\r\n  '1/4-z,1/4-y,1/4-x'\r\n  '3/4-z,3/4-y,3/4-x'\r\n  '1/4-y,1/4-x,1/4-z'\r\n  '3/4-y,3/4-x,3/4-z'\r\n  '1/2-z,-x,1/2+y'\r\n  '-z,1/2-x,+y'\r\n  '1/2-y,-z,1/2+x'\r\n  '-y,1/2-z,+x'\r\n  '1/2-x,-y,1/2+z'\r\n  '-x,1/2-y,+z'\r\n  '1/2+z,1/2-x,-y'\r\n  '+z,-x,1/2-y'\r\n  '1/2+y,1/2-z,-x'\r\n  '+y,-z,1/2-x'\r\n  '1/2+x,1/2-y,-z'\r\n  '+x,-y,1/2-z'\r\n  '3/4+x,3/4-z,1/4+y'\r\n  '1/4+x,1/4-z,3/4+y'\r\n  '3/4+z,3/4-y,1/4+x'\r\n  '1/4+z,1/4-y,3/4+x'\r\n  '3/4+y,3/4-x,1/4+z'\r\n  '1/4+y,1/4-x,3/4+z'\r\n  '1/4+x,3/4+z,3/4-y'\r\n  '3/4+x,1/4+z,1/4-y'\r\n  '1/4+z,3/4+y,3/4-x'\r\n  '3/4+z,1/4+y,1/4-x'\r\n  '1/4+y,3/4+x,3/4-z'\r\n  '3/4+y,1/4+x,1/4-z'\r\n  'z,x,y'\r\n  '1/2+z,1/2+x,1/2+y'\r\n  'y,z,x'\r\n  '1/2+y,1/2+z,1/2+x'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\nAg   0.36500   0.00000   0.25000\r\nAu   0.12500   0.12500   0.12500\r\nTe   0.26600   0.26600   0.26600\r\n"
  },
  {
    "path": "pyxtal/database/cifs/JAPWIH.cif",
    "content": "####################################################################### \r\n# \r\n# This file contains crystal structure data downloaded from the \r\n# Cambridge Structural Database (CSD) hosted by the Cambridge \r\n# Crystallographic Data Centre (CCDC).\r\n# \r\n# Full information about CCDC data access policies and citation \r\n# guidelines are available at http://www.ccdc.cam.ac.uk/access/V1 \r\n# \r\n# Audit and citation data items may have been added by the CCDC. \r\n# Please retain this information to preserve the provenance of \r\n# this file and to allow appropriate attribution of the data. \r\n# \r\n#######################################################################\r\n\r\ndata_final6_new_labels\r\n_audit_block_doi                 10.5517/cc8jpzf\r\n_database_code_depnum_ccdc_archive 'CCDC 254385'\r\nloop_\r\n_citation_id\r\n_citation_doi\r\n_citation_year\r\n1 10.1021/jo048010w 2005\r\n_audit_update_record             \r\n;\r\n2004-11-01 deposited with the CCDC.\t2020-08-10 downloaded from the CCDC.\r\n;\r\n\r\n_audit_creation_method           SHELXL-97\r\n_chemical_name_systematic        \r\n;\r\nThieno[2,3-f:5,4-f']bis[1]benzothiophene\r\n;\r\n_chemical_name_common            Thieno(2,3-f:5,4-f')bis(1)benzothiophene\r\n_chemical_melting_point          '237-238 C'\r\n_chemical_formula_moiety         'C16 H8 S3'\r\n_chemical_formula_sum            'C16 H8 S3'\r\n_chemical_formula_weight         296.40\r\n\r\nloop_\r\n_atom_type_symbol\r\n_atom_type_description\r\n_atom_type_scat_dispersion_real\r\n_atom_type_scat_dispersion_imag\r\n_atom_type_scat_source\r\nC C 0.0033 0.0016 'International Tables Vol C Tables 4.2.6.8 and 6.1.1.4'\r\nH H 0.0000 0.0000 'International Tables Vol C Tables 4.2.6.8 and 6.1.1.4'\r\nS S 0.1246 0.1234 'International Tables Vol C Tables 4.2.6.8 and 6.1.1.4'\r\n\r\n_symmetry_cell_setting           orthorhombic\r\n_symmetry_space_group_name_H-M   Pmn2(1)\r\n\r\nloop_\r\n_symmetry_equiv_pos_as_xyz\r\n'x, y, z'\r\n'-x+1/2, -y, z+1/2'\r\n'x+1/2, -y, z+1/2'\r\n'-x, y, z'\r\n\r\n_cell_length_a                   25.6814(5)\r\n_cell_length_b                   6.0774(1)\r\n_cell_length_c                   3.8911(1)\r\n_cell_angle_alpha                90.00\r\n_cell_angle_beta                 90.00\r\n_cell_angle_gamma                90.00\r\n_cell_volume                     607.31(2)\r\n_cell_formula_units_Z            2\r\n_cell_measurement_temperature    120(1)\r\n_cell_measurement_reflns_used    6077\r\n_cell_measurement_theta_min      3.15\r\n_cell_measurement_theta_max      35.2\r\n\r\n_exptl_crystal_description       plate\r\n_exptl_crystal_colour            'pale yellow'\r\n_exptl_crystal_size_max          0.30\r\n_exptl_crystal_size_mid          0.20\r\n_exptl_crystal_size_min          0.08\r\n_exptl_crystal_density_meas      ?\r\n_exptl_crystal_density_diffrn    1.621\r\n_exptl_crystal_density_method    'not measured'\r\n_exptl_crystal_F_000             304\r\n_exptl_absorpt_coefficient_mu    0.588\r\n_exptl_absorpt_correction_type   multi-scan\r\n_exptl_absorpt_correction_T_min  0.79\r\n_exptl_absorpt_correction_T_max  1.00\r\n_exptl_absorpt_process_details   \r\nSADABS;Sheldrick1996;Blessing,ActaC.1995,A51,33\r\n\r\n\r\n_exptl_special_details           \r\n;\r\n?\r\n;\r\n\r\n_diffrn_ambient_temperature      120(1)\r\n_diffrn_radiation_wavelength     0.71073\r\n_diffrn_radiation_type           MoK\\a\r\n_diffrn_radiation_source         'fine-focus sealed tube'\r\n_diffrn_radiation_monochromator  graphite\r\n_diffrn_measurement_device_type  'Bruker Smart6000'\r\n_diffrn_measurement_method       'omega scans'\r\n_diffrn_detector_area_resol_mean ?\r\n_diffrn_standards_number         n.a.\r\n_diffrn_standards_interval_count n.a.\r\n_diffrn_standards_interval_time  n.a.\r\n_diffrn_standards_decay_%        ?\r\n_diffrn_reflns_number            3308\r\n_diffrn_reflns_av_R_equivalents  0.0177\r\n_diffrn_reflns_av_sigmaI/netI    0.0259\r\n_diffrn_reflns_limit_h_min       -40\r\n_diffrn_reflns_limit_h_max       39\r\n_diffrn_reflns_limit_k_min       -8\r\n_diffrn_reflns_limit_k_max       8\r\n_diffrn_reflns_limit_l_min       -1\r\n_diffrn_reflns_limit_l_max       6\r\n_diffrn_reflns_theta_min         3.17\r\n_diffrn_reflns_theta_max         35.17\r\n_reflns_number_total             1418\r\n_reflns_number_gt                1372\r\n_reflns_threshold_expression     >2sigma(I)\r\n\r\n_computing_data_collection       'SMART V.5.630'\r\n_computing_cell_refinement       'SAINT V6.45A'\r\n_computing_data_reduction        'SAINT V6.45A'\r\n_computing_structure_solution    'SHELXS-97 (Sheldrick, 1990)'\r\n_computing_structure_refinement  'SHELXL-97 (Sheldrick, 1997)'\r\n_computing_molecular_graphics    'Diamond 2.1e'\r\n_computing_publication_material  ?\r\n\r\n_refine_special_details          \r\n;\r\nRefinement of F^2^ against ALL reflections. The weighted R-factor wR and\r\ngoodness of fit S are based on F^2^, conventional R-factors R are based\r\non F, with F set to zero for negative F^2^. The threshold expression of\r\nF^2^ > 2sigma(F^2^) is used only for calculating R-factors(gt) etc. and is\r\nnot relevant to the choice of reflections for refinement. R-factors based\r\non F^2^ are statistically about twice as large as those based on F, and R-\r\nfactors based on ALL data will be even larger.\r\n;\r\n\r\n_refine_ls_structure_factor_coef Fsqd\r\n_refine_ls_matrix_type           full\r\n_refine_ls_weighting_scheme      calc\r\n_refine_ls_weighting_details     \r\n'calc w=1/[\\s^2^(Fo^2^)+(0.0341P)^2^+0.1744P] where P=(Fo^2^+2Fc^2^)/3'\r\n_atom_sites_solution_primary     direct\r\n_atom_sites_solution_secondary   difmap\r\n_atom_sites_solution_hydrogens   difmap\r\n_refine_ls_hydrogen_treatment    refall\r\n_refine_ls_extinction_method     none\r\n_refine_ls_extinction_coef       ?\r\n_refine_ls_abs_structure_details 'Flack H D (1983), Acta Cryst. A39, 876-881'\r\n_refine_ls_abs_structure_Flack   0.18(17)\r\n_refine_ls_number_reflns         1418\r\n_refine_ls_number_parameters     105\r\n_refine_ls_number_restraints     1\r\n_refine_ls_R_factor_all          0.0276\r\n_refine_ls_R_factor_gt           0.0263\r\n_refine_ls_wR_factor_ref         0.0694\r\n_refine_ls_wR_factor_gt          0.0687\r\n_refine_ls_goodness_of_fit_ref   1.102\r\n_refine_ls_restrained_S_all      1.101\r\n_refine_ls_shift/su_max          0.001\r\n_refine_ls_shift/su_mean         0.000\r\n\r\nloop_\r\n_atom_site_label\r\n_atom_site_type_symbol\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\n_atom_site_U_iso_or_equiv\r\n_atom_site_adp_type\r\n_atom_site_occupancy\r\n_atom_site_symmetry_multiplicity\r\n_atom_site_calc_flag\r\n_atom_site_refinement_flags\r\n_atom_site_disorder_assembly\r\n_atom_site_disorder_group\r\nS(1) S 0.165156(12) 1.50690(6) -0.36925(18) 0.01495(9) Uani 1 1 d . . .\r\nS(2) S 0.0000 0.84417(8) 0.18015(16) 0.01419(11) Uani 1 2 d S . .\r\nC(1) C 0.21178(6) 1.3118(3) -0.2611(5) 0.0175(3) Uani 1 1 d . . .\r\nH(1) H 0.2473(10) 1.338(4) -0.332(9) 0.033(6) Uiso 1 1 d . . .\r\nC(2) C 0.19166(6) 1.1295(3) -0.1125(5) 0.0163(3) Uani 1 1 d . . .\r\nH(2) H 0.2100(9) 1.013(3) -0.031(8) 0.020(6) Uiso 1 1 d . . .\r\nC(3) C 0.13563(6) 1.1384(3) -0.0826(5) 0.0139(3) Uani 1 1 d . . .\r\nC(4) C 0.10180(6) 0.9796(3) 0.0519(5) 0.0148(3) Uani 1 1 d . . .\r\nH(4) H 0.1145(8) 0.841(4) 0.146(9) 0.024(6) Uiso 1 1 d . . .\r\nC(5) C 0.04882(6) 1.0238(2) 0.0393(5) 0.0128(3) Uani 1 1 d . . .\r\nC(6) C 0.02834(5) 1.2209(2) -0.1017(5) 0.0122(2) Uani 1 1 d . . .\r\nC(7) C 0.06201(5) 1.3813(3) -0.2291(5) 0.0130(3) Uani 1 1 d . . .\r\nH(7) H 0.0483(8) 1.517(3) -0.307(8) 0.014(6) Uiso 1 1 d . . .\r\nC(8) C 0.11539(6) 1.3383(2) -0.2170(5) 0.0131(3) Uani 1 1 d . . .\r\n\r\nloop_\r\n_atom_site_aniso_label\r\n_atom_site_aniso_U_11\r\n_atom_site_aniso_U_22\r\n_atom_site_aniso_U_33\r\n_atom_site_aniso_U_23\r\n_atom_site_aniso_U_13\r\n_atom_site_aniso_U_12\r\nS(1) 0.01175(14) 0.01439(17) 0.01872(16) 0.00094(13) 0.00075(14) -0.00023(10)\r\nS(2) 0.01510(19) 0.0111(2) 0.0163(2) 0.0030(2) 0.000 0.000\r\nC(1) 0.0122(5) 0.0193(7) 0.0210(8) -0.0020(6) -0.0001(5) 0.0015(5)\r\nC(2) 0.0125(6) 0.0168(7) 0.0197(7) -0.0004(6) -0.0016(5) 0.0028(5)\r\nC(3) 0.0130(5) 0.0132(6) 0.0156(6) -0.0011(6) -0.0015(5) 0.0019(5)\r\nC(4) 0.0152(6) 0.0127(7) 0.0163(7) 0.0008(5) -0.0010(5) 0.0022(5)\r\nC(5) 0.0143(6) 0.0104(6) 0.0136(6) 0.0005(5) -0.0003(5) 0.0002(4)\r\nC(6) 0.0118(5) 0.0114(6) 0.0133(6) 0.0005(5) -0.0002(5) 0.0003(4)\r\nC(7) 0.0111(5) 0.0115(6) 0.0164(6) 0.0009(5) -0.0002(5) 0.0005(4)\r\nC(8) 0.0123(5) 0.0117(7) 0.0151(6) 0.0001(5) -0.0001(5) 0.0006(4)\r\n\r\n_geom_special_details            \r\n;\r\nAll esds (except the esd in the dihedral angle between two l.s. planes)\r\nare estimated using the full covariance matrix. The cell esds are taken\r\ninto account individually in the estimation of esds in distances, angles\r\nand torsion angles; correlations between esds in cell parameters are only\r\nused when they are defined by crystal symmetry. An approximate (isotropic)\r\ntreatment of cell esds is used for estimating esds involving l.s. planes.\r\n;\r\n\r\nloop_\r\n_geom_bond_atom_site_label_1\r\n_geom_bond_atom_site_label_2\r\n_geom_bond_distance\r\n_geom_bond_site_symmetry_2\r\n_geom_bond_publ_flag\r\nS(1) C(1) 1.7368(16) . ?\r\nS(1) C(8) 1.7418(16) . ?\r\nS(2) C(5) 1.7506(16) . ?\r\nS(2) C(5) 1.7506(16) 4 ?\r\nC(1) C(2) 1.352(2) . ?\r\nC(1) H(1) 0.97(3) . ?\r\nC(2) C(3) 1.444(2) . ?\r\nC(2) H(2) 0.91(2) . ?\r\nC(3) C(4) 1.400(2) . ?\r\nC(3) C(8) 1.421(2) . ?\r\nC(4) C(5) 1.388(2) . ?\r\nC(4) H(4) 0.97(2) . ?\r\nC(5) C(6) 1.419(2) . ?\r\nC(6) C(7) 1.394(2) . ?\r\nC(6) C(6) 1.456(3) 4 ?\r\nC(7) C(8) 1.396(2) . ?\r\nC(7) H(7) 0.94(2) . ?\r\n\r\nloop_\r\n_geom_angle_atom_site_label_1\r\n_geom_angle_atom_site_label_2\r\n_geom_angle_atom_site_label_3\r\n_geom_angle\r\n_geom_angle_site_symmetry_1\r\n_geom_angle_site_symmetry_3\r\n_geom_angle_publ_flag\r\nC(1) S(1) C(8) 91.25(8) . . ?\r\nC(5) S(2) C(5) 91.48(10) . 4 ?\r\nC(2) C(1) S(1) 113.54(11) . . ?\r\nC(2) C(1) H(1) 128.3(16) . . ?\r\nS(1) C(1) H(1) 117.8(16) . . ?\r\nC(1) C(2) C(3) 112.62(14) . . ?\r\nC(1) C(2) H(2) 126.2(15) . . ?\r\nC(3) C(2) H(2) 121.1(15) . . ?\r\nC(4) C(3) C(8) 119.99(13) . . ?\r\nC(4) C(3) C(2) 128.51(14) . . ?\r\nC(8) C(3) C(2) 111.49(14) . . ?\r\nC(5) C(4) C(3) 117.49(14) . . ?\r\nC(5) C(4) H(4) 120.6(13) . . ?\r\nC(3) C(4) H(4) 121.9(13) . . ?\r\nC(4) C(5) C(6) 122.74(14) . . ?\r\nC(4) C(5) S(2) 124.77(12) . . ?\r\nC(6) C(5) S(2) 112.47(11) . . ?\r\nC(7) C(6) C(5) 119.86(13) . . ?\r\nC(7) C(6) C(6) 128.34(8) . 4 ?\r\nC(5) C(6) C(6) 111.76(8) . 4 ?\r\nC(6) C(7) C(8) 117.79(14) . . ?\r\nC(6) C(7) H(7) 119.4(13) . . ?\r\nC(8) C(7) H(7) 122.7(13) . . ?\r\nC(7) C(8) C(3) 122.10(14) . . ?\r\nC(7) C(8) S(1) 126.78(12) . . ?\r\nC(3) C(8) S(1) 111.08(11) . . ?\r\n\r\n_diffrn_measured_fraction_theta_max 0.865\r\n_diffrn_reflns_theta_full        35.17\r\n_diffrn_measured_fraction_theta_full 0.865\r\n_refine_diff_density_max         0.514\r\n_refine_diff_density_min         -0.281\r\n_refine_diff_density_rms         0.064\r\n\r\n\r\n\r\n"
  },
  {
    "path": "pyxtal/database/cifs/JVASP-119184.cif",
    "content": "#############################################################\n#             ______       _    _          _                #\n#            (_____ \\     \\ \\  / /        | |               #\n#             _____) )   _ \\ \\/ / |_  ____| |               #\n#            |  ____/ | | | )  (|  _)/ _  | |               #\n#            | |    | |_| |/ /\\ \\ |_( (_| | |___            #\n#            |_|     \\__  /_/  \\_\\___)__|_|_____)           #\n#                   (____/                                  #\n#---------------------(version    1.1.1)--------------------#\n#       A Python package for random crystal generation      #\n#       url: https://github.com/qzhu2017/pyxtal             #\n#       @Zhu's group at U. North Carolina at Charlotte      #\n#############################################################\ndata_from_pyxtal\n\n_symmetry_space_group_name_H-M 'Imm2'\n_symmetry_Int_Tables_number                   44\n_symmetry_cell_setting              orthorhombic\n_cell_length_a            3.842552\n_cell_length_b            3.897385\n_cell_length_c           60.700549\n_cell_angle_alpha        90.000000\n_cell_angle_beta         90.000000\n_cell_angle_gamma        90.000000\n_cell_volume            909.045569\n\nloop_\n _symmetry_equiv_pos_site_id\n _symmetry_equiv_pos_as_xyz\n1 'x, y, z'\n2 '-x, -y, z'\n3 'x, -y, z'\n4 '-x, y, z'\n5 'x+1/2, y+1/2, z+1/2'\n6 '-x+1/2, -y+1/2, z+1/2'\n7 'x+1/2, -y+1/2, z+1/2'\n8 '-x+1/2, y+1/2, z+1/2'\n\nloop_\n _atom_site_label\n _atom_site_type_symbol\n _atom_site_symmetry_multiplicity\n _atom_site_fract_x\n _atom_site_fract_y\n _atom_site_fract_z\n _atom_site_occupancy\nHf     Hf       2     0.000000    0.000000    0.732549 1\nHf     Hf       2     0.000000    0.000000    0.066147 1\nHf     Hf       2     0.000000    0.500000    0.481474 1\nHf     Hf       2     0.000000    0.500000    0.814580 1\nHf     Hf       2     0.000000    0.500000    0.147980 1\nHf     Hf       2     0.000000    0.000000    0.935382 1\nHf     Hf       2     0.000000    0.000000    0.267600 1\nHf     Hf       2     0.000000    0.000000    0.601185 1\nSc     Sc       2     0.000000    0.500000    0.018034 1\nSc     Sc       2     0.000000    0.000000    0.399233 1\nSc     Sc       2     0.000000    0.500000    0.350684 1\nSc     Sc       2     0.000000    0.500000    0.684512 1\nGa     Ga       2     0.000000    0.000000    0.222001 1\nGa     Ga       2     0.000000    0.500000    0.972667 1\nGa     Ga       2     0.000000    0.500000    0.305348 1\nGa     Ga       2     0.000000    0.500000    0.639025 1\nGa     Ga       2     0.000000    0.000000    0.444484 1\nGa     Ga       2     0.000000    0.000000    0.777616 1\nGa     Ga       2     0.000000    0.000000    0.111224 1\nGa     Ga       2     0.000000    0.500000    0.861112 1\nGa     Ga       2     0.000000    0.500000    0.194619 1\nGa     Ga       2     0.000000    0.500000    0.528216 1\nGa     Ga       2     0.000000    0.000000    0.888749 1\nGa     Ga       2     0.000000    0.000000    0.555567 1\n#END\n\n"
  },
  {
    "path": "pyxtal/database/cifs/JVASP-119739.cif",
    "content": "#############################################################\n#             ______       _    _          _                #\n#            (_____ \\     \\ \\  / /        | |               #\n#             _____) )   _ \\ \\/ / |_  ____| |               #\n#            |  ____/ | | | )  (|  _)/ _  | |               #\n#            | |    | |_| |/ /\\ \\ |_( (_| | |___            #\n#            |_|     \\__  /_/  \\_\\___)__|_|_____)           #\n#                   (____/                                  #\n#---------------------(version    1.1.1)--------------------#\n#       A Python package for random crystal generation      #\n#       url: https://github.com/qzhu2017/pyxtal             #\n#       @Zhu's group at U. North Carolina at Charlotte      #\n#############################################################\ndata_from_pyxtal\n\n_symmetry_space_group_name_H-M 'C2/m'\n_symmetry_Int_Tables_number                   12\n_symmetry_cell_setting                monoclinic\n_cell_length_a            9.685370\n_cell_length_b            5.633571\n_cell_length_c            5.773884\n_cell_angle_alpha        90.000000\n_cell_angle_beta        124.441562\n_cell_angle_gamma        90.000000\n_cell_volume            259.816010\n\nloop_\n _symmetry_equiv_pos_site_id\n _symmetry_equiv_pos_as_xyz\n1 'x, y, z'\n2 '-x, y, -z'\n3 '-x, -y, -z'\n4 'x, -y, z'\n5 'x+1/2, y+1/2, z'\n6 '-x+1/2, y+1/2, -z'\n7 '-x+1/2, -y+1/2, -z'\n8 'x+1/2, -y+1/2, z'\n\nloop_\n _atom_site_label\n _atom_site_type_symbol\n _atom_site_symmetry_multiplicity\n _atom_site_fract_x\n _atom_site_fract_y\n _atom_site_fract_z\n _atom_site_occupancy\nLi     Li       4     0.250000    0.250000    0.500000 1\nFe     Fe       2     0.000000    0.500000    0.000000 1\nFe     Fe       4     0.250000    0.250000    0.000000 1\nCo     Co       2     0.000000    0.000000    0.000000 1\nO      O        8     0.486427    0.248883    0.205414 1\nO      O        4     0.738939    0.000000    0.215862 1\nO      O        4     0.237598    0.000000    0.215022 1\n#END\n\n"
  },
  {
    "path": "pyxtal/database/cifs/JVASP-141590.cif",
    "content": "#############################################################\n#             ______       _    _          _                #\n#            (_____ \\     \\ \\  / /        | |               #\n#             _____) )   _ \\ \\/ / |_  ____| |               #\n#            |  ____/ | | | )  (|  _)/ _  | |               #\n#            | |    | |_| |/ /\\ \\ |_( (_| | |___            #\n#            |_|     \\__  /_/  \\_\\___)__|_|_____)           #\n#                   (____/                                  #\n#---------------------(version    1.1.1)--------------------#\n#       A Python package for random crystal generation      #\n#       url: https://github.com/qzhu2017/pyxtal             #\n#       @Zhu's group at U. North Carolina at Charlotte      #\n#############################################################\ndata_from_pyxtal\n\n_symmetry_space_group_name_H-M 'R-3m'\n_symmetry_Int_Tables_number                  166\n_symmetry_cell_setting                  trigonal\n_cell_length_a            2.996808\n_cell_length_b            2.996808\n_cell_length_c           72.791435\n_cell_angle_alpha        90.000000\n_cell_angle_beta         90.000000\n_cell_angle_gamma       120.000000\n_cell_volume            566.146583\n\nloop_\n _symmetry_equiv_pos_site_id\n _symmetry_equiv_pos_as_xyz\n1 'x, y, z'\n2 '-y, x-y, z'\n3 '-x+y, -x, z'\n4 'y, x, -z'\n5 'x-y, -y, -z'\n6 '-x, -x+y, -z'\n7 '-x, -y, -z'\n8 'y, -x+y, -z'\n9 'x-y, x, -z'\n10 '-y, -x, z'\n11 '-x+y, y, z'\n12 'x, x-y, z'\n13 'x+2/3, y+1/3, z+1/3'\n14 '-y+2/3, x-y+1/3, z+1/3'\n15 '-x+y+2/3, -x+1/3, z+1/3'\n16 'y+2/3, x+1/3, -z+1/3'\n17 'x-y+2/3, -y+1/3, -z+1/3'\n18 '-x+2/3, -x+y+1/3, -z+1/3'\n19 '-x+2/3, -y+1/3, -z+1/3'\n20 'y+2/3, -x+y+1/3, -z+1/3'\n21 'x-y+2/3, x+1/3, -z+1/3'\n22 '-y+2/3, -x+1/3, z+1/3'\n23 '-x+y+2/3, y+1/3, z+1/3'\n24 'x+2/3, x-y+1/3, z+1/3'\n25 'x+1/3, y+2/3, z+2/3'\n26 '-y+1/3, x-y+2/3, z+2/3'\n27 '-x+y+1/3, -x+2/3, z+2/3'\n28 'y+1/3, x+2/3, -z+2/3'\n29 'x-y+1/3, -y+2/3, -z+2/3'\n30 '-x+1/3, -x+y+2/3, -z+2/3'\n31 '-x+1/3, -y+2/3, -z+2/3'\n32 'y+1/3, -x+y+2/3, -z+2/3'\n33 'x-y+1/3, x+2/3, -z+2/3'\n34 '-y+1/3, -x+2/3, z+2/3'\n35 '-x+y+1/3, y+2/3, z+2/3'\n36 'x+1/3, x-y+2/3, z+2/3'\n\nloop_\n _atom_site_label\n _atom_site_type_symbol\n _atom_site_symmetry_multiplicity\n _atom_site_fract_x\n _atom_site_fract_y\n _atom_site_fract_z\n _atom_site_occupancy\nZn     Zn       6     0.000000    0.000000    0.600619 1\nZn     Zn       3     0.000000    0.000000    0.500000 1\nNi     Ni       6     0.000000    0.000000    0.699007 1\nNi     Ni       6     0.000000    0.000000    0.900149 1\nNi     Ni       3     0.000000    0.000000    0.000000 1\nNi     Ni       6     0.000000    0.000000    0.799525 1\nO      O        6     0.000000    0.000000    0.650567 1\nO      O        6     0.000000    0.000000    0.749992 1\nO      O        6     0.000000    0.000000    0.449683 1\nO      O        6     0.000000    0.000000    0.850611 1\nO      O        6     0.000000    0.000000    0.951233 1\n#END\n\n"
  },
  {
    "path": "pyxtal/database/cifs/JVASP-25063.cif",
    "content": "#############################################################\n#             ______       _    _          _                #\n#            (_____ \\     \\ \\  / /        | |               #\n#             _____) )   _ \\ \\/ / |_  ____| |               #\n#            |  ____/ | | | )  (|  _)/ _  | |               #\n#            | |    | |_| |/ /\\ \\ |_( (_| | |___            #\n#            |_|     \\__  /_/  \\_\\___)__|_|_____)           #\n#                   (____/                                  #\n#---------------------(version    1.1.1)--------------------#\n#       A Python package for random crystal generation      #\n#       url: https://github.com/qzhu2017/pyxtal             #\n#       @Zhu's group at U. North Carolina at Charlotte      #\n#############################################################\ndata_from_pyxtal\n\n_symmetry_space_group_name_H-M 'Pmna'\n_symmetry_Int_Tables_number                   53\n_symmetry_cell_setting              orthorhombic\n_cell_length_a            3.322129\n_cell_length_b           30.169808\n_cell_length_c            4.579330\n_cell_angle_alpha        90.000000\n_cell_angle_beta         90.000000\n_cell_angle_gamma        90.000000\n_cell_volume            458.977131\n\nloop_\n _symmetry_equiv_pos_site_id\n _symmetry_equiv_pos_as_xyz\n1 'x, y, z'\n2 '-x+1/2, -y, z+1/2'\n3 '-x+1/2, y, -z+1/2'\n4 'x, -y, -z'\n5 '-x, -y, -z'\n6 'x+1/2, y, -z+1/2'\n7 'x+1/2, -y, z+1/2'\n8 '-x, y, z'\n\nloop_\n _atom_site_label\n _atom_site_type_symbol\n _atom_site_symmetry_multiplicity\n _atom_site_fract_x\n _atom_site_fract_y\n _atom_site_fract_z\n _atom_site_occupancy\nP      P        4     0.000000    0.964682    0.586695 1\n#END\n\n"
  },
  {
    "path": "pyxtal/database/cifs/JVASP-28565.cif",
    "content": "#############################################################\n#             ______       _    _          _                #\n#            (_____ \\     \\ \\  / /        | |               #\n#             _____) )   _ \\ \\/ / |_  ____| |               #\n#            |  ____/ | | | )  (|  _)/ _  | |               #\n#            | |    | |_| |/ /\\ \\ |_( (_| | |___            #\n#            |_|     \\__  /_/  \\_\\___)__|_|_____)           #\n#                   (____/                                  #\n#---------------------(version    1.1.1)--------------------#\n#       A Python package for random crystal generation      #\n#       url: https://github.com/qzhu2017/pyxtal             #\n#       @Zhu's group at U. North Carolina at Charlotte      #\n#############################################################\ndata_from_pyxtal\n\n_symmetry_space_group_name_H-M 'Cm'\n_symmetry_Int_Tables_number                    8\n_symmetry_cell_setting                monoclinic\n_cell_length_a            5.809700\n_cell_length_b            3.354234\n_cell_length_c           29.227006\n_cell_angle_alpha        90.000000\n_cell_angle_beta         90.010508\n_cell_angle_gamma        90.000000\n_cell_volume            569.549357\n\nloop_\n _symmetry_equiv_pos_site_id\n _symmetry_equiv_pos_as_xyz\n1 'x, y, z'\n2 'x, -y, z'\n3 'x+1/2, y+1/2, z'\n4 'x+1/2, -y+1/2, z'\n\nloop_\n _atom_site_label\n _atom_site_type_symbol\n _atom_site_symmetry_multiplicity\n _atom_site_fract_x\n _atom_site_fract_y\n _atom_site_fract_z\n _atom_site_occupancy\nTe     Te       2     0.666712    0.000000    0.408805 1\nTe     Te       2     0.666593    0.000000    0.278867 1\nMo     Mo       2     0.666481    0.000000    0.114581 1\nMo     Mo       2     0.333320    0.000000    0.343874 1\nW      W        2     0.666885    0.000000    0.582526 1\nSe     Se       2     0.333504    0.000000    0.525262 1\nSe     Se       2     0.333600    0.000000    0.639696 1\nS      S        2     0.333097    0.000000    0.062761 1\nS      S        2     0.333204    0.000000    0.166468 1\n#END\n\n"
  },
  {
    "path": "pyxtal/database/cifs/JVASP-28634.cif",
    "content": "#############################################################\n#             ______       _    _          _                #\n#            (_____ \\     \\ \\  / /        | |               #\n#             _____) )   _ \\ \\/ / |_  ____| |               #\n#            |  ____/ | | | )  (|  _)/ _  | |               #\n#            | |    | |_| |/ /\\ \\ |_( (_| | |___            #\n#            |_|     \\__  /_/  \\_\\___)__|_|_____)           #\n#                   (____/                                  #\n#---------------------(version    1.1.1)--------------------#\n#       A Python package for random crystal generation      #\n#       url: https://github.com/qzhu2017/pyxtal             #\n#       @Zhu's group at U. North Carolina at Charlotte      #\n#############################################################\ndata_from_pyxtal\n\n_symmetry_space_group_name_H-M 'Cm'\n_symmetry_Int_Tables_number                    8\n_symmetry_cell_setting                monoclinic\n_cell_length_a            5.585948\n_cell_length_b            3.225049\n_cell_length_c           34.140684\n_cell_angle_alpha        90.000000\n_cell_angle_beta         90.000337\n_cell_angle_gamma        90.000000\n_cell_volume            615.043027\n\nloop_\n _symmetry_equiv_pos_site_id\n _symmetry_equiv_pos_as_xyz\n1 'x, y, z'\n2 'x, -y, z'\n3 'x+1/2, y+1/2, z'\n4 'x+1/2, -y+1/2, z'\n\nloop_\n _atom_site_label\n _atom_site_type_symbol\n _atom_site_symmetry_multiplicity\n _atom_site_fract_x\n _atom_site_fract_y\n _atom_site_fract_z\n _atom_site_occupancy\nMo     Mo       2     0.666685    0.000000    0.906546 1\nW      W        2     0.666683    0.000000    0.527914 1\nW      W        2     0.333330    0.000000    0.717520 1\nW      W        2     0.333301    0.000000    0.345107 1\nSe     Se       2     0.666656    0.000000    0.667102 1\nSe     Se       2     0.666672    0.000000    0.767938 1\nS      S        2     0.666626    0.000000    0.299323 1\nS      S        2     0.333352    0.000000    0.952081 1\nS      S        2     0.333351    0.000000    0.573744 1\nS      S        2     0.333352    0.000000    0.860953 1\nS      S        2     0.333349    0.000000    0.482099 1\nS      S        2     0.666643    0.000000    0.390925 1\n#END\n\n"
  },
  {
    "path": "pyxtal/database/cifs/JVASP-36885.cif",
    "content": "#############################################################\n#             ______       _    _          _                #\n#            (_____ \\     \\ \\  / /        | |               #\n#             _____) )   _ \\ \\/ / |_  ____| |               #\n#            |  ____/ | | | )  (|  _)/ _  | |               #\n#            | |    | |_| |/ /\\ \\ |_( (_| | |___            #\n#            |_|     \\__  /_/  \\_\\___)__|_|_____)           #\n#                   (____/                                  #\n#---------------------(version    1.1.1)--------------------#\n#       A Python package for random crystal generation      #\n#       url: https://github.com/qzhu2017/pyxtal             #\n#       @Zhu's group at U. North Carolina at Charlotte      #\n#############################################################\ndata_from_pyxtal\n\n_symmetry_space_group_name_H-M 'Pm'\n_symmetry_Int_Tables_number                    6\n_symmetry_cell_setting                monoclinic\n_cell_length_a            4.139160\n_cell_length_b            4.139218\n_cell_length_c            4.139305\n_cell_angle_alpha        90.000000\n_cell_angle_beta         90.000190\n_cell_angle_gamma        90.000000\n_cell_volume             70.918246\n\nloop_\n _symmetry_equiv_pos_site_id\n _symmetry_equiv_pos_as_xyz\n1 'x, y, z'\n2 'x, -y, z'\n\nloop_\n _atom_site_label\n _atom_site_type_symbol\n _atom_site_symmetry_multiplicity\n _atom_site_fract_x\n _atom_site_fract_y\n _atom_site_fract_z\n _atom_site_occupancy\nTl     Tl       1     0.990021    0.500000    0.993980 1\nCo     Co       1     0.489993    0.000000    0.494006 1\nF      F        1     0.989992    0.000000    0.494005 1\nF      F        1     0.489999    0.500000    0.494002 1\nF      F        1     0.489996    0.000000    0.994009 1\n#END\n\n"
  },
  {
    "path": "pyxtal/database/cifs/JVASP-37583.cif",
    "content": "#############################################################\n#             ______       _    _          _                #\n#            (_____ \\     \\ \\  / /        | |               #\n#             _____) )   _ \\ \\/ / |_  ____| |               #\n#            |  ____/ | | | )  (|  _)/ _  | |               #\n#            | |    | |_| |/ /\\ \\ |_( (_| | |___            #\n#            |_|     \\__  /_/  \\_\\___)__|_|_____)           #\n#                   (____/                                  #\n#---------------------(version    1.1.1)--------------------#\n#       A Python package for random crystal generation      #\n#       url: https://github.com/qzhu2017/pyxtal             #\n#       @Zhu's group at U. North Carolina at Charlotte      #\n#############################################################\ndata_from_pyxtal\n\n_symmetry_space_group_name_H-M 'Fm-3m'\n_symmetry_Int_Tables_number                  225\n_symmetry_cell_setting                     cubic\n_cell_length_a            5.977442\n_cell_length_b            5.977442\n_cell_length_c            5.977442\n_cell_angle_alpha        90.000000\n_cell_angle_beta         90.000000\n_cell_angle_gamma        90.000000\n_cell_volume            213.572858\n\nloop_\n _symmetry_equiv_pos_site_id\n _symmetry_equiv_pos_as_xyz\n1 'x, y, z'\n2 '-x, -y, z'\n3 '-x, y, -z'\n4 'x, -y, -z'\n5 'z, x, y'\n6 'z, -x, -y'\n7 '-z, -x, y'\n8 '-z, x, -y'\n9 'y, z, x'\n10 '-y, z, -x'\n11 'y, -z, -x'\n12 '-y, -z, x'\n13 'y, x, -z'\n14 '-y, -x, -z'\n15 'y, -x, z'\n16 '-y, x, z'\n17 'x, z, -y'\n18 '-x, z, y'\n19 '-x, -z, -y'\n20 'x, -z, y'\n21 'z, y, -x'\n22 'z, -y, x'\n23 '-z, y, x'\n24 '-z, -y, -x'\n25 '-x, -y, -z'\n26 'x, y, -z'\n27 'x, -y, z'\n28 '-x, y, z'\n29 '-z, -x, -y'\n30 '-z, x, y'\n31 'z, x, -y'\n32 'z, -x, y'\n33 '-y, -z, -x'\n34 'y, -z, x'\n35 '-y, z, x'\n36 'y, z, -x'\n37 '-y, -x, z'\n38 'y, x, z'\n39 '-y, x, -z'\n40 'y, -x, -z'\n41 '-x, -z, y'\n42 'x, -z, -y'\n43 'x, z, y'\n44 '-x, z, -y'\n45 '-z, -y, x'\n46 '-z, y, -x'\n47 'z, -y, -x'\n48 'z, y, x'\n49 'x, y+1/2, z+1/2'\n50 '-x, -y+1/2, z+1/2'\n51 '-x, y+1/2, -z+1/2'\n52 'x, -y+1/2, -z+1/2'\n53 'z, x+1/2, y+1/2'\n54 'z, -x+1/2, -y+1/2'\n55 '-z, -x+1/2, y+1/2'\n56 '-z, x+1/2, -y+1/2'\n57 'y, z+1/2, x+1/2'\n58 '-y, z+1/2, -x+1/2'\n59 'y, -z+1/2, -x+1/2'\n60 '-y, -z+1/2, x+1/2'\n61 'y, x+1/2, -z+1/2'\n62 '-y, -x+1/2, -z+1/2'\n63 'y, -x+1/2, z+1/2'\n64 '-y, x+1/2, z+1/2'\n65 'x, z+1/2, -y+1/2'\n66 '-x, z+1/2, y+1/2'\n67 '-x, -z+1/2, -y+1/2'\n68 'x, -z+1/2, y+1/2'\n69 'z, y+1/2, -x+1/2'\n70 'z, -y+1/2, x+1/2'\n71 '-z, y+1/2, x+1/2'\n72 '-z, -y+1/2, -x+1/2'\n73 '-x, -y+1/2, -z+1/2'\n74 'x, y+1/2, -z+1/2'\n75 'x, -y+1/2, z+1/2'\n76 '-x, y+1/2, z+1/2'\n77 '-z, -x+1/2, -y+1/2'\n78 '-z, x+1/2, y+1/2'\n79 'z, x+1/2, -y+1/2'\n80 'z, -x+1/2, y+1/2'\n81 '-y, -z+1/2, -x+1/2'\n82 'y, -z+1/2, x+1/2'\n83 '-y, z+1/2, x+1/2'\n84 'y, z+1/2, -x+1/2'\n85 '-y, -x+1/2, z+1/2'\n86 'y, x+1/2, z+1/2'\n87 '-y, x+1/2, -z+1/2'\n88 'y, -x+1/2, -z+1/2'\n89 '-x, -z+1/2, y+1/2'\n90 'x, -z+1/2, -y+1/2'\n91 'x, z+1/2, y+1/2'\n92 '-x, z+1/2, -y+1/2'\n93 '-z, -y+1/2, x+1/2'\n94 '-z, y+1/2, -x+1/2'\n95 'z, -y+1/2, -x+1/2'\n96 'z, y+1/2, x+1/2'\n97 'x+1/2, y, z+1/2'\n98 '-x+1/2, -y, z+1/2'\n99 '-x+1/2, y, -z+1/2'\n100 'x+1/2, -y, -z+1/2'\n101 'z+1/2, x, y+1/2'\n102 'z+1/2, -x, -y+1/2'\n103 '-z+1/2, -x, y+1/2'\n104 '-z+1/2, x, -y+1/2'\n105 'y+1/2, z, x+1/2'\n106 '-y+1/2, z, -x+1/2'\n107 'y+1/2, -z, -x+1/2'\n108 '-y+1/2, -z, x+1/2'\n109 'y+1/2, x, -z+1/2'\n110 '-y+1/2, -x, -z+1/2'\n111 'y+1/2, -x, z+1/2'\n112 '-y+1/2, x, z+1/2'\n113 'x+1/2, z, -y+1/2'\n114 '-x+1/2, z, y+1/2'\n115 '-x+1/2, -z, -y+1/2'\n116 'x+1/2, -z, y+1/2'\n117 'z+1/2, y, -x+1/2'\n118 'z+1/2, -y, x+1/2'\n119 '-z+1/2, y, x+1/2'\n120 '-z+1/2, -y, -x+1/2'\n121 '-x+1/2, -y, -z+1/2'\n122 'x+1/2, y, -z+1/2'\n123 'x+1/2, -y, z+1/2'\n124 '-x+1/2, y, z+1/2'\n125 '-z+1/2, -x, -y+1/2'\n126 '-z+1/2, x, y+1/2'\n127 'z+1/2, x, -y+1/2'\n128 'z+1/2, -x, y+1/2'\n129 '-y+1/2, -z, -x+1/2'\n130 'y+1/2, -z, x+1/2'\n131 '-y+1/2, z, x+1/2'\n132 'y+1/2, z, -x+1/2'\n133 '-y+1/2, -x, z+1/2'\n134 'y+1/2, x, z+1/2'\n135 '-y+1/2, x, -z+1/2'\n136 'y+1/2, -x, -z+1/2'\n137 '-x+1/2, -z, y+1/2'\n138 'x+1/2, -z, -y+1/2'\n139 'x+1/2, z, y+1/2'\n140 '-x+1/2, z, -y+1/2'\n141 '-z+1/2, -y, x+1/2'\n142 '-z+1/2, y, -x+1/2'\n143 'z+1/2, -y, -x+1/2'\n144 'z+1/2, y, x+1/2'\n145 'x+1/2, y+1/2, z'\n146 '-x+1/2, -y+1/2, z'\n147 '-x+1/2, y+1/2, -z'\n148 'x+1/2, -y+1/2, -z'\n149 'z+1/2, x+1/2, y'\n150 'z+1/2, -x+1/2, -y'\n151 '-z+1/2, -x+1/2, y'\n152 '-z+1/2, x+1/2, -y'\n153 'y+1/2, z+1/2, x'\n154 '-y+1/2, z+1/2, -x'\n155 'y+1/2, -z+1/2, -x'\n156 '-y+1/2, -z+1/2, x'\n157 'y+1/2, x+1/2, -z'\n158 '-y+1/2, -x+1/2, -z'\n159 'y+1/2, -x+1/2, z'\n160 '-y+1/2, x+1/2, z'\n161 'x+1/2, z+1/2, -y'\n162 '-x+1/2, z+1/2, y'\n163 '-x+1/2, -z+1/2, -y'\n164 'x+1/2, -z+1/2, y'\n165 'z+1/2, y+1/2, -x'\n166 'z+1/2, -y+1/2, x'\n167 '-z+1/2, y+1/2, x'\n168 '-z+1/2, -y+1/2, -x'\n169 '-x+1/2, -y+1/2, -z'\n170 'x+1/2, y+1/2, -z'\n171 'x+1/2, -y+1/2, z'\n172 '-x+1/2, y+1/2, z'\n173 '-z+1/2, -x+1/2, -y'\n174 '-z+1/2, x+1/2, y'\n175 'z+1/2, x+1/2, -y'\n176 'z+1/2, -x+1/2, y'\n177 '-y+1/2, -z+1/2, -x'\n178 'y+1/2, -z+1/2, x'\n179 '-y+1/2, z+1/2, x'\n180 'y+1/2, z+1/2, -x'\n181 '-y+1/2, -x+1/2, z'\n182 'y+1/2, x+1/2, z'\n183 '-y+1/2, x+1/2, -z'\n184 'y+1/2, -x+1/2, -z'\n185 '-x+1/2, -z+1/2, y'\n186 'x+1/2, -z+1/2, -y'\n187 'x+1/2, z+1/2, y'\n188 '-x+1/2, z+1/2, -y'\n189 '-z+1/2, -y+1/2, x'\n190 '-z+1/2, y+1/2, -x'\n191 'z+1/2, -y+1/2, -x'\n192 'z+1/2, y+1/2, x'\n\nloop_\n _atom_site_label\n _atom_site_type_symbol\n _atom_site_symmetry_multiplicity\n _atom_site_fract_x\n _atom_site_fract_y\n _atom_site_fract_z\n _atom_site_occupancy\nV      V        4     0.000000    0.000000    0.000000 1\nFe     Fe       4     0.500000    0.500000    0.500000 1\nRu     Ru       8     0.250000    0.250000    0.250000 1\n#END\n\n"
  },
  {
    "path": "pyxtal/database/cifs/JVASP-42300.cif",
    "content": "#############################################################\n#             ______       _    _          _                #\n#            (_____ \\     \\ \\  / /        | |               #\n#             _____) )   _ \\ \\/ / |_  ____| |               #\n#            |  ____/ | | | )  (|  _)/ _  | |               #\n#            | |    | |_| |/ /\\ \\ |_( (_| | |___            #\n#            |_|     \\__  /_/  \\_\\___)__|_|_____)           #\n#                   (____/                                  #\n#---------------------(version    1.1.1)--------------------#\n#       A Python package for random crystal generation      #\n#       url: https://github.com/qzhu2017/pyxtal             #\n#       @Zhu's group at U. North Carolina at Charlotte      #\n#############################################################\ndata_from_pyxtal\n\n_symmetry_space_group_name_H-M 'C2'\n_symmetry_Int_Tables_number                    5\n_symmetry_cell_setting                monoclinic\n_cell_length_a            5.592144\n_cell_length_b            8.755606\n_cell_length_c            8.787107\n_cell_angle_alpha        90.000000\n_cell_angle_beta        108.553375\n_cell_angle_gamma        90.000000\n_cell_volume            407.879123\n\nloop_\n _symmetry_equiv_pos_site_id\n _symmetry_equiv_pos_as_xyz\n1 'x, y, z'\n2 '-x, y, -z'\n3 'x+1/2, y+1/2, z'\n4 '-x+1/2, y+1/2, -z'\n\nloop_\n _atom_site_label\n _atom_site_type_symbol\n _atom_site_symmetry_multiplicity\n _atom_site_fract_x\n _atom_site_fract_y\n _atom_site_fract_z\n _atom_site_occupancy\nLi     Li       4     0.830291    0.999932    0.660557 1\nLi     Li       4     0.669936    0.750048    0.839888 1\nMn     Mn       2     0.000000    0.000001    0.000000 1\nMn     Mn       4     0.663968    0.000011    0.327931 1\nCr     Cr       4     0.665334    0.249997    0.830654 1\nCr     Cr       2     0.000000    0.250000    0.500000 1\nO      O        4     0.680300    0.024376    0.831902 1\nO      O        2     0.000000    0.781644    0.000000 1\nO      O        4     0.672387    0.220546    0.326212 1\nO      O        2     0.000000    0.025582    0.500000 1\nO      O        4     0.848388    0.975618    0.168090 1\nO      O        2     0.000000    0.218356    0.000000 1\nO      O        4     0.346165    0.779478    0.673784 1\nO      O        2     0.000000    0.474422    0.500000 1\n#END\n\n"
  },
  {
    "path": "pyxtal/database/cifs/JVASP-43424.cif",
    "content": "#############################################################\n#             ______       _    _          _                #\n#            (_____ \\     \\ \\  / /        | |               #\n#             _____) )   _ \\ \\/ / |_  ____| |               #\n#            |  ____/ | | | )  (|  _)/ _  | |               #\n#            | |    | |_| |/ /\\ \\ |_( (_| | |___            #\n#            |_|     \\__  /_/  \\_\\___)__|_|_____)           #\n#                   (____/                                  #\n#---------------------(version    1.1.1)--------------------#\n#       A Python package for random crystal generation      #\n#       url: https://github.com/qzhu2017/pyxtal             #\n#       @Zhu's group at U. North Carolina at Charlotte      #\n#############################################################\ndata_from_pyxtal\n\n_symmetry_space_group_name_H-M 'C2/c'\n_symmetry_Int_Tables_number                   15\n_symmetry_cell_setting                monoclinic\n_cell_length_a            8.057950\n_cell_length_b            8.090396\n_cell_length_c            5.830125\n_cell_angle_alpha        90.000000\n_cell_angle_beta        131.704957\n_cell_angle_gamma        90.000000\n_cell_volume            283.758536\n\nloop_\n _symmetry_equiv_pos_site_id\n _symmetry_equiv_pos_as_xyz\n1 'x, y, z'\n2 '-x, y, -z+1/2'\n3 '-x, -y, -z'\n4 'x, -y, z+1/2'\n5 'x+1/2, y+1/2, z'\n6 '-x+1/2, y+1/2, -z+1/2'\n7 '-x+1/2, -y+1/2, -z'\n8 'x+1/2, -y+1/2, z+1/2'\n\nloop_\n _atom_site_label\n _atom_site_type_symbol\n _atom_site_symmetry_multiplicity\n _atom_site_fract_x\n _atom_site_fract_y\n _atom_site_fract_z\n _atom_site_occupancy\nLi     Li       4     0.000000    0.000000    0.000000 1\nLi     Li       4     0.250000    0.250000    0.000000 1\nMn     Mn       4     0.000000    0.500000    0.000000 1\nCu     Cu       4     0.250000    0.250000    0.500000 1\nO      O        8     0.718397    0.001980    0.954780 1\nO      O        8     0.016298    0.734366    0.021492 1\n#END\n\n"
  },
  {
    "path": "pyxtal/database/cifs/JVASP-45907.cif",
    "content": "#############################################################\n#             ______       _    _          _                #\n#            (_____ \\     \\ \\  / /        | |               #\n#             _____) )   _ \\ \\/ / |_  ____| |               #\n#            |  ____/ | | | )  (|  _)/ _  | |               #\n#            | |    | |_| |/ /\\ \\ |_( (_| | |___            #\n#            |_|     \\__  /_/  \\_\\___)__|_|_____)           #\n#                   (____/                                  #\n#---------------------(version    1.1.1)--------------------#\n#       A Python package for random crystal generation      #\n#       url: https://github.com/qzhu2017/pyxtal             #\n#       @Zhu's group at U. North Carolina at Charlotte      #\n#############################################################\ndata_from_pyxtal\n\n_symmetry_space_group_name_H-M 'R-3m'\n_symmetry_Int_Tables_number                  166\n_symmetry_cell_setting                  trigonal\n_cell_length_a            3.002400\n_cell_length_b            3.002400\n_cell_length_c           72.933336\n_cell_angle_alpha        90.000000\n_cell_angle_beta         90.000000\n_cell_angle_gamma       120.000000\n_cell_volume            569.368925\n\nloop_\n _symmetry_equiv_pos_site_id\n _symmetry_equiv_pos_as_xyz\n1 'x, y, z'\n2 '-y, x-y, z'\n3 '-x+y, -x, z'\n4 'y, x, -z'\n5 'x-y, -y, -z'\n6 '-x, -x+y, -z'\n7 '-x, -y, -z'\n8 'y, -x+y, -z'\n9 'x-y, x, -z'\n10 '-y, -x, z'\n11 '-x+y, y, z'\n12 'x, x-y, z'\n13 'x+2/3, y+1/3, z+1/3'\n14 '-y+2/3, x-y+1/3, z+1/3'\n15 '-x+y+2/3, -x+1/3, z+1/3'\n16 'y+2/3, x+1/3, -z+1/3'\n17 'x-y+2/3, -y+1/3, -z+1/3'\n18 '-x+2/3, -x+y+1/3, -z+1/3'\n19 '-x+2/3, -y+1/3, -z+1/3'\n20 'y+2/3, -x+y+1/3, -z+1/3'\n21 'x-y+2/3, x+1/3, -z+1/3'\n22 '-y+2/3, -x+1/3, z+1/3'\n23 '-x+y+2/3, y+1/3, z+1/3'\n24 'x+2/3, x-y+1/3, z+1/3'\n25 'x+1/3, y+2/3, z+2/3'\n26 '-y+1/3, x-y+2/3, z+2/3'\n27 '-x+y+1/3, -x+2/3, z+2/3'\n28 'y+1/3, x+2/3, -z+2/3'\n29 'x-y+1/3, -y+2/3, -z+2/3'\n30 '-x+1/3, -x+y+2/3, -z+2/3'\n31 '-x+1/3, -y+2/3, -z+2/3'\n32 'y+1/3, -x+y+2/3, -z+2/3'\n33 'x-y+1/3, x+2/3, -z+2/3'\n34 '-y+1/3, -x+2/3, z+2/3'\n35 '-x+y+1/3, y+2/3, z+2/3'\n36 'x+1/3, x-y+2/3, z+2/3'\n\nloop_\n _atom_site_label\n _atom_site_type_symbol\n _atom_site_symmetry_multiplicity\n _atom_site_fract_x\n _atom_site_fract_y\n _atom_site_fract_z\n _atom_site_occupancy\nZn     Zn       6     0.000000    0.000000    0.100609 1\nZn     Zn       3     0.000000    0.000000    0.000000 1\nNi     Ni       6     0.000000    0.000000    0.800990 1\nNi     Ni       6     0.000000    0.000000    0.400147 1\nNi     Ni       3     0.000000    0.000000    0.500000 1\nNi     Ni       6     0.000000    0.000000    0.299534 1\nO      O        6     0.000000    0.000000    0.150554 1\nO      O        6     0.000000    0.000000    0.249977 1\nO      O        6     0.000000    0.000000    0.050310 1\nO      O        6     0.000000    0.000000    0.350596 1\nO      O        6     0.000000    0.000000    0.451229 1\n#END\n\n"
  },
  {
    "path": "pyxtal/database/cifs/JVASP-47532.cif",
    "content": "#############################################################\n#             ______       _    _          _                #\n#            (_____ \\     \\ \\  / /        | |               #\n#             _____) )   _ \\ \\/ / |_  ____| |               #\n#            |  ____/ | | | )  (|  _)/ _  | |               #\n#            | |    | |_| |/ /\\ \\ |_( (_| | |___            #\n#            |_|     \\__  /_/  \\_\\___)__|_|_____)           #\n#                   (____/                                  #\n#---------------------(version    1.1.1)--------------------#\n#       A Python package for random crystal generation      #\n#       url: https://github.com/qzhu2017/pyxtal             #\n#       @Zhu's group at U. North Carolina at Charlotte      #\n#############################################################\ndata_from_pyxtal\n\n_symmetry_space_group_name_H-M 'P2/m'\n_symmetry_Int_Tables_number                   10\n_symmetry_cell_setting                monoclinic\n_cell_length_a            5.343986\n_cell_length_b            3.078251\n_cell_length_c            7.531201\n_cell_angle_alpha        90.000000\n_cell_angle_beta         90.116449\n_cell_angle_gamma        90.000000\n_cell_volume            123.889003\n\nloop_\n _symmetry_equiv_pos_site_id\n _symmetry_equiv_pos_as_xyz\n1 'x, y, z'\n2 '-x, y, -z'\n3 '-x, -y, -z'\n4 'x, -y, z'\n\nloop_\n _atom_site_label\n _atom_site_type_symbol\n _atom_site_symmetry_multiplicity\n _atom_site_fract_x\n _atom_site_fract_y\n _atom_site_fract_z\n _atom_site_occupancy\nMn     Mn       2     0.330707    0.000000    0.662283 1\nMn     Mn       1     0.500000    0.500000    0.000000 1\nMn     Mn       1     0.000000    0.000000    0.000000 1\nFe     Fe       2     0.835235    0.500000    0.664951 1\nO      O        2     0.667897    0.000000    0.829994 1\nO      O        2     0.166981    0.500000    0.832570 1\nO      O        1     0.500000    0.500000    0.500000 1\nO      O        1     0.000000    0.000000    0.500000 1\n#END\n\n"
  },
  {
    "path": "pyxtal/database/cifs/JVASP-50935.cif",
    "content": "#############################################################\n#             ______       _    _          _                #\n#            (_____ \\     \\ \\  / /        | |               #\n#             _____) )   _ \\ \\/ / |_  ____| |               #\n#            |  ____/ | | | )  (|  _)/ _  | |               #\n#            | |    | |_| |/ /\\ \\ |_( (_| | |___            #\n#            |_|     \\__  /_/  \\_\\___)__|_|_____)           #\n#                   (____/                                  #\n#---------------------(version    1.1.1)--------------------#\n#       A Python package for random crystal generation      #\n#       url: https://github.com/qzhu2017/pyxtal             #\n#       @Zhu's group at U. North Carolina at Charlotte      #\n#############################################################\ndata_from_pyxtal\n\n_symmetry_space_group_name_H-M 'Pm'\n_symmetry_Int_Tables_number                    6\n_symmetry_cell_setting                monoclinic\n_cell_length_a            3.275877\n_cell_length_b           12.022365\n_cell_length_c            3.275934\n_cell_angle_alpha        90.000000\n_cell_angle_beta        119.998614\n_cell_angle_gamma        90.000000\n_cell_volume            111.735027\n\nloop_\n _symmetry_equiv_pos_site_id\n _symmetry_equiv_pos_as_xyz\n1 'x, y, z'\n2 'x, -y, z'\n\nloop_\n _atom_site_label\n _atom_site_type_symbol\n _atom_site_symmetry_multiplicity\n _atom_site_fract_x\n _atom_site_fract_y\n _atom_site_fract_z\n _atom_site_occupancy\nAl     Al       1     0.666664    0.500000    0.333276 1\nAl     Al       1     0.333337    0.000000    0.666625 1\nIn     In       2     0.999999    0.750002    1.000000 1\nO      O        1     0.999999    0.500000    0.999942 1\nO      O        1     0.000002    0.000000    0.999965 1\nO      O        2     0.666657    0.342073    0.333341 1\nO      O        2     0.333342    0.157923    0.666662 1\n#END\n\n"
  },
  {
    "path": "pyxtal/database/cifs/JVASP-59313.cif",
    "content": "#############################################################\n#             ______       _    _          _                #\n#            (_____ \\     \\ \\  / /        | |               #\n#             _____) )   _ \\ \\/ / |_  ____| |               #\n#            |  ____/ | | | )  (|  _)/ _  | |               #\n#            | |    | |_| |/ /\\ \\ |_( (_| | |___            #\n#            |_|     \\__  /_/  \\_\\___)__|_|_____)           #\n#                   (____/                                  #\n#---------------------(version    1.1.1)--------------------#\n#       A Python package for random crystal generation      #\n#       url: https://github.com/qzhu2017/pyxtal             #\n#       @Zhu's group at U. North Carolina at Charlotte      #\n#############################################################\ndata_from_pyxtal\n\n_symmetry_space_group_name_H-M 'Ia-3d'\n_symmetry_Int_Tables_number                  230\n_symmetry_cell_setting                     cubic\n_cell_length_a           11.932675\n_cell_length_b           11.932675\n_cell_length_c           11.932675\n_cell_angle_alpha        90.000000\n_cell_angle_beta         90.000000\n_cell_angle_gamma        90.000000\n_cell_volume           1699.078623\n\nloop_\n _symmetry_equiv_pos_site_id\n _symmetry_equiv_pos_as_xyz\n1 'x, y, z'\n2 '-x+1/2, -y, z+1/2'\n3 '-x, y+1/2, -z+1/2'\n4 'x+1/2, -y+1/2, -z'\n5 'z, x, y'\n6 'z+1/2, -x+1/2, -y'\n7 '-z+1/2, -x, y+1/2'\n8 '-z, x+1/2, -y+1/2'\n9 'y, z, x'\n10 '-y, z+1/2, -x+1/2'\n11 'y+1/2, -z+1/2, -x'\n12 '-y+1/2, -z, x+1/2'\n13 'y+3/4, x+1/4, -z+1/4'\n14 '-y+3/4, -x+3/4, -z+3/4'\n15 'y+1/4, -x+1/4, z+3/4'\n16 '-y+1/4, x+3/4, z+1/4'\n17 'x+3/4, z+1/4, -y+1/4'\n18 '-x+1/4, z+3/4, y+1/4'\n19 '-x+3/4, -z+3/4, -y+3/4'\n20 'x+1/4, -z+1/4, y+3/4'\n21 'z+3/4, y+1/4, -x+1/4'\n22 'z+1/4, -y+1/4, x+3/4'\n23 '-z+1/4, y+3/4, x+1/4'\n24 '-z+3/4, -y+3/4, -x+3/4'\n25 '-x, -y, -z'\n26 'x+1/2, y, -z+1/2'\n27 'x, -y+1/2, z+1/2'\n28 '-x+1/2, y+1/2, z'\n29 '-z, -x, -y'\n30 '-z+1/2, x+1/2, y'\n31 'z+1/2, x, -y+1/2'\n32 'z, -x+1/2, y+1/2'\n33 '-y, -z, -x'\n34 'y, -z+1/2, x+1/2'\n35 '-y+1/2, z+1/2, x'\n36 'y+1/2, z, -x+1/2'\n37 '-y+1/4, -x+3/4, z+3/4'\n38 'y+1/4, x+1/4, z+1/4'\n39 '-y+3/4, x+3/4, -z+1/4'\n40 'y+3/4, -x+1/4, -z+3/4'\n41 '-x+1/4, -z+3/4, y+3/4'\n42 'x+3/4, -z+1/4, -y+3/4'\n43 'x+1/4, z+1/4, y+1/4'\n44 '-x+3/4, z+3/4, -y+1/4'\n45 '-z+1/4, -y+3/4, x+3/4'\n46 '-z+3/4, y+3/4, -x+1/4'\n47 'z+3/4, -y+1/4, -x+3/4'\n48 'z+1/4, y+1/4, x+1/4'\n49 'x+1/2, y+1/2, z+1/2'\n50 '-x+1, -y+1/2, z+1'\n51 '-x+1/2, y+1, -z+1'\n52 'x+1, -y+1, -z+1/2'\n53 'z+1/2, x+1/2, y+1/2'\n54 'z+1, -x+1, -y+1/2'\n55 '-z+1, -x+1/2, y+1'\n56 '-z+1/2, x+1, -y+1'\n57 'y+1/2, z+1/2, x+1/2'\n58 '-y+1/2, z+1, -x+1'\n59 'y+1, -z+1, -x+1/2'\n60 '-y+1, -z+1/2, x+1'\n61 'y+5/4, x+3/4, -z+3/4'\n62 '-y+5/4, -x+5/4, -z+5/4'\n63 'y+3/4, -x+3/4, z+5/4'\n64 '-y+3/4, x+5/4, z+3/4'\n65 'x+5/4, z+3/4, -y+3/4'\n66 '-x+3/4, z+5/4, y+3/4'\n67 '-x+5/4, -z+5/4, -y+5/4'\n68 'x+3/4, -z+3/4, y+5/4'\n69 'z+5/4, y+3/4, -x+3/4'\n70 'z+3/4, -y+3/4, x+5/4'\n71 '-z+3/4, y+5/4, x+3/4'\n72 '-z+5/4, -y+5/4, -x+5/4'\n73 '-x+1/2, -y+1/2, -z+1/2'\n74 'x+1, y+1/2, -z+1'\n75 'x+1/2, -y+1, z+1'\n76 '-x+1, y+1, z+1/2'\n77 '-z+1/2, -x+1/2, -y+1/2'\n78 '-z+1, x+1, y+1/2'\n79 'z+1, x+1/2, -y+1'\n80 'z+1/2, -x+1, y+1'\n81 '-y+1/2, -z+1/2, -x+1/2'\n82 'y+1/2, -z+1, x+1'\n83 '-y+1, z+1, x+1/2'\n84 'y+1, z+1/2, -x+1'\n85 '-y+3/4, -x+5/4, z+5/4'\n86 'y+3/4, x+3/4, z+3/4'\n87 '-y+5/4, x+5/4, -z+3/4'\n88 'y+5/4, -x+3/4, -z+5/4'\n89 '-x+3/4, -z+5/4, y+5/4'\n90 'x+5/4, -z+3/4, -y+5/4'\n91 'x+3/4, z+3/4, y+3/4'\n92 '-x+5/4, z+5/4, -y+3/4'\n93 '-z+3/4, -y+5/4, x+5/4'\n94 '-z+5/4, y+5/4, -x+3/4'\n95 'z+5/4, -y+3/4, -x+5/4'\n96 'z+3/4, y+3/4, x+3/4'\n\nloop_\n _atom_site_label\n _atom_site_type_symbol\n _atom_site_symmetry_multiplicity\n _atom_site_fract_x\n _atom_site_fract_y\n _atom_site_fract_z\n _atom_site_occupancy\nCa     Ca      24     0.125000    0.000000    0.250000 1\nAl     Al      16     0.000000    0.000000    0.000000 1\nSi     Si      24     0.375000    0.000000    0.250000 1\nO      O       96     0.151095    0.962037    0.045514 1\n#END\n\n"
  },
  {
    "path": "pyxtal/database/cifs/JVASP-62168.cif",
    "content": "#############################################################\n#             ______       _    _          _                #\n#            (_____ \\     \\ \\  / /        | |               #\n#             _____) )   _ \\ \\/ / |_  ____| |               #\n#            |  ____/ | | | )  (|  _)/ _  | |               #\n#            | |    | |_| |/ /\\ \\ |_( (_| | |___            #\n#            |_|     \\__  /_/  \\_\\___)__|_|_____)           #\n#                   (____/                                  #\n#---------------------(version    1.1.1)--------------------#\n#       A Python package for random crystal generation      #\n#       url: https://github.com/qzhu2017/pyxtal             #\n#       @Zhu's group at U. North Carolina at Charlotte      #\n#############################################################\ndata_from_pyxtal\n\n_symmetry_space_group_name_H-M 'Pnma'\n_symmetry_Int_Tables_number                   62\n_symmetry_cell_setting              orthorhombic\n_cell_length_a            5.090013\n_cell_length_b            4.920858\n_cell_length_c           14.490952\n_cell_angle_alpha        90.000000\n_cell_angle_beta         90.000000\n_cell_angle_gamma        90.000000\n_cell_volume            362.958239\n\nloop_\n _symmetry_equiv_pos_site_id\n _symmetry_equiv_pos_as_xyz\n1 'x, y, z'\n2 '-x+1/2, -y, z+1/2'\n3 '-x, y+1/2, -z'\n4 'x+1/2, -y+1/2, -z+1/2'\n5 '-x, -y, -z'\n6 'x+1/2, y, -z+1/2'\n7 'x, -y+1/2, z'\n8 '-x+1/2, y+1/2, z+1/2'\n\nloop_\n _atom_site_label\n _atom_site_type_symbol\n _atom_site_symmetry_multiplicity\n _atom_site_fract_x\n _atom_site_fract_y\n _atom_site_fract_z\n _atom_site_occupancy\nHf     Hf       4     0.156423    0.250000    0.598895 1\nAu     Au       4     0.173881    0.250000    0.195130 1\nAu     Au       4     0.154963    0.250000    0.400932 1\nAu     Au       4     0.157036    0.250000    0.798177 1\nAu     Au       4     0.160491    0.250000    0.998295 1\n#END\n\n"
  },
  {
    "path": "pyxtal/database/cifs/JVASP-85365.cif",
    "content": "#############################################################\n#             ______       _    _          _                #\n#            (_____ \\     \\ \\  / /        | |               #\n#             _____) )   _ \\ \\/ / |_  ____| |               #\n#            |  ____/ | | | )  (|  _)/ _  | |               #\n#            | |    | |_| |/ /\\ \\ |_( (_| | |___            #\n#            |_|     \\__  /_/  \\_\\___)__|_|_____)           #\n#                   (____/                                  #\n#---------------------(version    1.1.1)--------------------#\n#       A Python package for random crystal generation      #\n#       url: https://github.com/qzhu2017/pyxtal             #\n#       @Zhu's group at U. North Carolina at Charlotte      #\n#############################################################\ndata_from_pyxtal\n\n_symmetry_space_group_name_H-M 'P4/mmm'\n_symmetry_Int_Tables_number                  123\n_symmetry_cell_setting                tetragonal\n_cell_length_a            5.681023\n_cell_length_b            5.681023\n_cell_length_c            5.667377\n_cell_angle_alpha        90.000000\n_cell_angle_beta         90.000000\n_cell_angle_gamma        90.000000\n_cell_volume            182.909016\n\nloop_\n _symmetry_equiv_pos_site_id\n _symmetry_equiv_pos_as_xyz\n1 'x, y, z'\n2 '-x, -y, z'\n3 '-y, x, z'\n4 'y, -x, z'\n5 '-x, y, -z'\n6 'x, -y, -z'\n7 'y, x, -z'\n8 '-y, -x, -z'\n9 '-x, -y, -z'\n10 'x, y, -z'\n11 'y, -x, -z'\n12 '-y, x, -z'\n13 'x, -y, z'\n14 '-x, y, z'\n15 '-y, -x, z'\n16 'y, x, z'\n\nloop_\n _atom_site_label\n _atom_site_type_symbol\n _atom_site_symmetry_multiplicity\n _atom_site_fract_x\n _atom_site_fract_y\n _atom_site_fract_z\n _atom_site_occupancy\nFe     Fe       8     0.249779    0.249779    0.249943 1\nFe     Fe       1     0.500000    0.500000    0.000000 1\nFe     Fe       1     0.500000    0.500000    0.500000 1\nFe     Fe       1     0.000000    0.000000    0.500000 1\nCo     Co       2     0.000000    0.500000    0.000000 1\nCo     Co       2     0.000000    0.500000    0.500000 1\nCo     Co       1     0.000000    0.000000    0.000000 1\n#END\n\n"
  },
  {
    "path": "pyxtal/database/cifs/JVASP-86205.cif",
    "content": "#############################################################\n#             ______       _    _          _                #\n#            (_____ \\     \\ \\  / /        | |               #\n#             _____) )   _ \\ \\/ / |_  ____| |               #\n#            |  ____/ | | | )  (|  _)/ _  | |               #\n#            | |    | |_| |/ /\\ \\ |_( (_| | |___            #\n#            |_|     \\__  /_/  \\_\\___)__|_|_____)           #\n#                   (____/                                  #\n#---------------------(version    1.1.1)--------------------#\n#       A Python package for random crystal generation      #\n#       url: https://github.com/qzhu2017/pyxtal             #\n#       @Zhu's group at U. North Carolina at Charlotte      #\n#############################################################\ndata_from_pyxtal\n\n_symmetry_space_group_name_H-M 'Im-3'\n_symmetry_Int_Tables_number                  204\n_symmetry_cell_setting                     cubic\n_cell_length_a            9.442214\n_cell_length_b            9.442214\n_cell_length_c            9.442214\n_cell_angle_alpha        90.000000\n_cell_angle_beta         90.000000\n_cell_angle_gamma        90.000000\n_cell_volume            841.824379\n\nloop_\n _symmetry_equiv_pos_site_id\n _symmetry_equiv_pos_as_xyz\n1 'x, y, z'\n2 '-x, -y, z'\n3 '-x, y, -z'\n4 'x, -y, -z'\n5 'z, x, y'\n6 'z, -x, -y'\n7 '-z, -x, y'\n8 '-z, x, -y'\n9 'y, z, x'\n10 '-y, z, -x'\n11 'y, -z, -x'\n12 '-y, -z, x'\n13 '-x, -y, -z'\n14 'x, y, -z'\n15 'x, -y, z'\n16 '-x, y, z'\n17 '-z, -x, -y'\n18 '-z, x, y'\n19 'z, x, -y'\n20 'z, -x, y'\n21 '-y, -z, -x'\n22 'y, -z, x'\n23 '-y, z, x'\n24 'y, z, -x'\n25 'x+1/2, y+1/2, z+1/2'\n26 '-x+1/2, -y+1/2, z+1/2'\n27 '-x+1/2, y+1/2, -z+1/2'\n28 'x+1/2, -y+1/2, -z+1/2'\n29 'z+1/2, x+1/2, y+1/2'\n30 'z+1/2, -x+1/2, -y+1/2'\n31 '-z+1/2, -x+1/2, y+1/2'\n32 '-z+1/2, x+1/2, -y+1/2'\n33 'y+1/2, z+1/2, x+1/2'\n34 '-y+1/2, z+1/2, -x+1/2'\n35 'y+1/2, -z+1/2, -x+1/2'\n36 '-y+1/2, -z+1/2, x+1/2'\n37 '-x+1/2, -y+1/2, -z+1/2'\n38 'x+1/2, y+1/2, -z+1/2'\n39 'x+1/2, -y+1/2, z+1/2'\n40 '-x+1/2, y+1/2, z+1/2'\n41 '-z+1/2, -x+1/2, -y+1/2'\n42 '-z+1/2, x+1/2, y+1/2'\n43 'z+1/2, x+1/2, -y+1/2'\n44 'z+1/2, -x+1/2, y+1/2'\n45 '-y+1/2, -z+1/2, -x+1/2'\n46 'y+1/2, -z+1/2, x+1/2'\n47 '-y+1/2, z+1/2, x+1/2'\n48 'y+1/2, z+1/2, -x+1/2'\n\nloop_\n _atom_site_label\n _atom_site_type_symbol\n _atom_site_symmetry_multiplicity\n _atom_site_fract_x\n _atom_site_fract_y\n _atom_site_fract_z\n _atom_site_occupancy\nSm     Sm       2     0.000000    0.000000    0.000000 1\nSb     Sb      24     0.000000    0.337974    0.155972 1\nOs     Os       8     0.250000    0.250000    0.250000 1\n#END\n\n"
  },
  {
    "path": "pyxtal/database/cifs/JVASP-97915.cif",
    "content": "#############################################################\n#             ______       _    _          _                #\n#            (_____ \\     \\ \\  / /        | |               #\n#             _____) )   _ \\ \\/ / |_  ____| |               #\n#            |  ____/ | | | )  (|  _)/ _  | |               #\n#            | |    | |_| |/ /\\ \\ |_( (_| | |___            #\n#            |_|     \\__  /_/  \\_\\___)__|_|_____)           #\n#                   (____/                                  #\n#---------------------(version    1.1.1)--------------------#\n#       A Python package for random crystal generation      #\n#       url: https://github.com/qzhu2017/pyxtal             #\n#       @Zhu's group at U. North Carolina at Charlotte      #\n#############################################################\ndata_from_pyxtal\n\n_symmetry_space_group_name_H-M 'Fm-3m'\n_symmetry_Int_Tables_number                  225\n_symmetry_cell_setting                     cubic\n_cell_length_a           17.515341\n_cell_length_b           17.515341\n_cell_length_c           17.515341\n_cell_angle_alpha        90.000000\n_cell_angle_beta         90.000000\n_cell_angle_gamma        90.000000\n_cell_volume           5373.481742\n\nloop_\n _symmetry_equiv_pos_site_id\n _symmetry_equiv_pos_as_xyz\n1 'x, y, z'\n2 '-x, -y, z'\n3 '-x, y, -z'\n4 'x, -y, -z'\n5 'z, x, y'\n6 'z, -x, -y'\n7 '-z, -x, y'\n8 '-z, x, -y'\n9 'y, z, x'\n10 '-y, z, -x'\n11 'y, -z, -x'\n12 '-y, -z, x'\n13 'y, x, -z'\n14 '-y, -x, -z'\n15 'y, -x, z'\n16 '-y, x, z'\n17 'x, z, -y'\n18 '-x, z, y'\n19 '-x, -z, -y'\n20 'x, -z, y'\n21 'z, y, -x'\n22 'z, -y, x'\n23 '-z, y, x'\n24 '-z, -y, -x'\n25 '-x, -y, -z'\n26 'x, y, -z'\n27 'x, -y, z'\n28 '-x, y, z'\n29 '-z, -x, -y'\n30 '-z, x, y'\n31 'z, x, -y'\n32 'z, -x, y'\n33 '-y, -z, -x'\n34 'y, -z, x'\n35 '-y, z, x'\n36 'y, z, -x'\n37 '-y, -x, z'\n38 'y, x, z'\n39 '-y, x, -z'\n40 'y, -x, -z'\n41 '-x, -z, y'\n42 'x, -z, -y'\n43 'x, z, y'\n44 '-x, z, -y'\n45 '-z, -y, x'\n46 '-z, y, -x'\n47 'z, -y, -x'\n48 'z, y, x'\n49 'x, y+1/2, z+1/2'\n50 '-x, -y+1/2, z+1/2'\n51 '-x, y+1/2, -z+1/2'\n52 'x, -y+1/2, -z+1/2'\n53 'z, x+1/2, y+1/2'\n54 'z, -x+1/2, -y+1/2'\n55 '-z, -x+1/2, y+1/2'\n56 '-z, x+1/2, -y+1/2'\n57 'y, z+1/2, x+1/2'\n58 '-y, z+1/2, -x+1/2'\n59 'y, -z+1/2, -x+1/2'\n60 '-y, -z+1/2, x+1/2'\n61 'y, x+1/2, -z+1/2'\n62 '-y, -x+1/2, -z+1/2'\n63 'y, -x+1/2, z+1/2'\n64 '-y, x+1/2, z+1/2'\n65 'x, z+1/2, -y+1/2'\n66 '-x, z+1/2, y+1/2'\n67 '-x, -z+1/2, -y+1/2'\n68 'x, -z+1/2, y+1/2'\n69 'z, y+1/2, -x+1/2'\n70 'z, -y+1/2, x+1/2'\n71 '-z, y+1/2, x+1/2'\n72 '-z, -y+1/2, -x+1/2'\n73 '-x, -y+1/2, -z+1/2'\n74 'x, y+1/2, -z+1/2'\n75 'x, -y+1/2, z+1/2'\n76 '-x, y+1/2, z+1/2'\n77 '-z, -x+1/2, -y+1/2'\n78 '-z, x+1/2, y+1/2'\n79 'z, x+1/2, -y+1/2'\n80 'z, -x+1/2, y+1/2'\n81 '-y, -z+1/2, -x+1/2'\n82 'y, -z+1/2, x+1/2'\n83 '-y, z+1/2, x+1/2'\n84 'y, z+1/2, -x+1/2'\n85 '-y, -x+1/2, z+1/2'\n86 'y, x+1/2, z+1/2'\n87 '-y, x+1/2, -z+1/2'\n88 'y, -x+1/2, -z+1/2'\n89 '-x, -z+1/2, y+1/2'\n90 'x, -z+1/2, -y+1/2'\n91 'x, z+1/2, y+1/2'\n92 '-x, z+1/2, -y+1/2'\n93 '-z, -y+1/2, x+1/2'\n94 '-z, y+1/2, -x+1/2'\n95 'z, -y+1/2, -x+1/2'\n96 'z, y+1/2, x+1/2'\n97 'x+1/2, y, z+1/2'\n98 '-x+1/2, -y, z+1/2'\n99 '-x+1/2, y, -z+1/2'\n100 'x+1/2, -y, -z+1/2'\n101 'z+1/2, x, y+1/2'\n102 'z+1/2, -x, -y+1/2'\n103 '-z+1/2, -x, y+1/2'\n104 '-z+1/2, x, -y+1/2'\n105 'y+1/2, z, x+1/2'\n106 '-y+1/2, z, -x+1/2'\n107 'y+1/2, -z, -x+1/2'\n108 '-y+1/2, -z, x+1/2'\n109 'y+1/2, x, -z+1/2'\n110 '-y+1/2, -x, -z+1/2'\n111 'y+1/2, -x, z+1/2'\n112 '-y+1/2, x, z+1/2'\n113 'x+1/2, z, -y+1/2'\n114 '-x+1/2, z, y+1/2'\n115 '-x+1/2, -z, -y+1/2'\n116 'x+1/2, -z, y+1/2'\n117 'z+1/2, y, -x+1/2'\n118 'z+1/2, -y, x+1/2'\n119 '-z+1/2, y, x+1/2'\n120 '-z+1/2, -y, -x+1/2'\n121 '-x+1/2, -y, -z+1/2'\n122 'x+1/2, y, -z+1/2'\n123 'x+1/2, -y, z+1/2'\n124 '-x+1/2, y, z+1/2'\n125 '-z+1/2, -x, -y+1/2'\n126 '-z+1/2, x, y+1/2'\n127 'z+1/2, x, -y+1/2'\n128 'z+1/2, -x, y+1/2'\n129 '-y+1/2, -z, -x+1/2'\n130 'y+1/2, -z, x+1/2'\n131 '-y+1/2, z, x+1/2'\n132 'y+1/2, z, -x+1/2'\n133 '-y+1/2, -x, z+1/2'\n134 'y+1/2, x, z+1/2'\n135 '-y+1/2, x, -z+1/2'\n136 'y+1/2, -x, -z+1/2'\n137 '-x+1/2, -z, y+1/2'\n138 'x+1/2, -z, -y+1/2'\n139 'x+1/2, z, y+1/2'\n140 '-x+1/2, z, -y+1/2'\n141 '-z+1/2, -y, x+1/2'\n142 '-z+1/2, y, -x+1/2'\n143 'z+1/2, -y, -x+1/2'\n144 'z+1/2, y, x+1/2'\n145 'x+1/2, y+1/2, z'\n146 '-x+1/2, -y+1/2, z'\n147 '-x+1/2, y+1/2, -z'\n148 'x+1/2, -y+1/2, -z'\n149 'z+1/2, x+1/2, y'\n150 'z+1/2, -x+1/2, -y'\n151 '-z+1/2, -x+1/2, y'\n152 '-z+1/2, x+1/2, -y'\n153 'y+1/2, z+1/2, x'\n154 '-y+1/2, z+1/2, -x'\n155 'y+1/2, -z+1/2, -x'\n156 '-y+1/2, -z+1/2, x'\n157 'y+1/2, x+1/2, -z'\n158 '-y+1/2, -x+1/2, -z'\n159 'y+1/2, -x+1/2, z'\n160 '-y+1/2, x+1/2, z'\n161 'x+1/2, z+1/2, -y'\n162 '-x+1/2, z+1/2, y'\n163 '-x+1/2, -z+1/2, -y'\n164 'x+1/2, -z+1/2, y'\n165 'z+1/2, y+1/2, -x'\n166 'z+1/2, -y+1/2, x'\n167 '-z+1/2, y+1/2, x'\n168 '-z+1/2, -y+1/2, -x'\n169 '-x+1/2, -y+1/2, -z'\n170 'x+1/2, y+1/2, -z'\n171 'x+1/2, -y+1/2, z'\n172 '-x+1/2, y+1/2, z'\n173 '-z+1/2, -x+1/2, -y'\n174 '-z+1/2, x+1/2, y'\n175 'z+1/2, x+1/2, -y'\n176 'z+1/2, -x+1/2, y'\n177 '-y+1/2, -z+1/2, -x'\n178 'y+1/2, -z+1/2, x'\n179 '-y+1/2, z+1/2, x'\n180 'y+1/2, z+1/2, -x'\n181 '-y+1/2, -x+1/2, z'\n182 'y+1/2, x+1/2, z'\n183 '-y+1/2, x+1/2, -z'\n184 'y+1/2, -x+1/2, -z'\n185 '-x+1/2, -z+1/2, y'\n186 'x+1/2, -z+1/2, -y'\n187 'x+1/2, z+1/2, y'\n188 '-x+1/2, z+1/2, -y'\n189 '-z+1/2, -y+1/2, x'\n190 '-z+1/2, y+1/2, -x'\n191 'z+1/2, -y+1/2, -x'\n192 'z+1/2, y+1/2, x'\n\nloop_\n _atom_site_label\n _atom_site_type_symbol\n _atom_site_symmetry_multiplicity\n _atom_site_fract_x\n _atom_site_fract_y\n _atom_site_fract_z\n _atom_site_occupancy\nBa     Ba      32     0.894851    0.894851    0.894851 1\nBa     Ba      24     0.293124    0.000000    0.000000 1\nNa     Na      24     0.000000    0.250000    0.250000 1\nNa     Na      32     0.328951    0.328951    0.328951 1\nLi     Li       4     0.000000    0.000000    0.000000 1\nN      N       24     0.149745    0.000000    0.000000 1\n#END\n\n"
  },
  {
    "path": "pyxtal/database/cifs/JVASP-98225.cif",
    "content": "#############################################################\n#             ______       _    _          _                #\n#            (_____ \\     \\ \\  / /        | |               #\n#             _____) )   _ \\ \\/ / |_  ____| |               #\n#            |  ____/ | | | )  (|  _)/ _  | |               #\n#            | |    | |_| |/ /\\ \\ |_( (_| | |___            #\n#            |_|     \\__  /_/  \\_\\___)__|_|_____)           #\n#                   (____/                                  #\n#---------------------(version    1.1.1)--------------------#\n#       A Python package for random crystal generation      #\n#       url: https://github.com/qzhu2017/pyxtal             #\n#       @Zhu's group at U. North Carolina at Charlotte      #\n#############################################################\ndata_from_pyxtal\n\n_symmetry_space_group_name_H-M 'P21/c'\n_symmetry_Int_Tables_number                   14\n_symmetry_cell_setting                monoclinic\n_cell_length_a           14.224691\n_cell_length_b            7.296352\n_cell_length_c           13.439607\n_cell_angle_alpha        90.000000\n_cell_angle_beta        113.310367\n_cell_angle_gamma        90.000000\n_cell_volume           1281.017720\n\nloop_\n _symmetry_equiv_pos_site_id\n _symmetry_equiv_pos_as_xyz\n1 'x, y, z'\n2 '-x, y+1/2, -z+1/2'\n3 '-x, -y, -z'\n4 'x, -y+1/2, z+1/2'\n\nloop_\n _atom_site_label\n _atom_site_type_symbol\n _atom_site_symmetry_multiplicity\n _atom_site_fract_x\n _atom_site_fract_y\n _atom_site_fract_z\n _atom_site_occupancy\nK      K        4     0.844917    0.125438    0.557464 1\nK      K        4     0.885334    0.633868    0.359678 1\nK      K        4     0.397361    0.296066    0.039071 1\nK      K        4     0.345421    0.568666    0.307267 1\nBi     Bi       4     0.925982    0.353570    0.822632 1\nBi     Bi       4     0.116599    0.386377    0.371659 1\nBi     Bi       4     0.386988    0.060897    0.271849 1\nBi     Bi       4     0.580017    0.291310    0.391448 1\n#END\n\n"
  },
  {
    "path": "pyxtal/database/cifs/LAGNAL.cif",
    "content": "####################################################################### \r\n# \r\n# This file contains crystal structure data downloaded from the \r\n# Cambridge Structural Database (CSD) hosted by the Cambridge \r\n# Crystallographic Data Centre (CCDC).\r\n# \r\n# Full information about CCDC data access policies and citation \r\n# guidelines are available at http://www.ccdc.cam.ac.uk/access/V1 \r\n# \r\n# Audit and citation data items may have been added by the CCDC. \r\n# Please retain this information to preserve the provenance of \r\n# this file and to allow appropriate attribution of the data. \r\n# \r\n#######################################################################\r\n\r\ndata_III\r\n_audit_block_doi                 10.5517/cc1krrbd\r\n_database_code_depnum_ccdc_archive 'CCDC 1452794'\r\nloop_\r\n_citation_id\r\n_citation_doi\r\n_citation_year\r\n1 10.1107/S2056989016002516 2016\r\n_audit_update_record             \r\n;\r\n2016-02-10 deposited with the CCDC.\t2020-08-10 downloaded from the CCDC.\r\n;\r\n_publcif_datablock.id            {e36841c8-0f44-4f8c-8b4e-16409682ab03}\r\n\r\n# clave Lab: Bis-Iminas IV-R\r\n# clave original: bimivr (ICUAP)\r\n# clave refinamiento: BIM-IV-R_MO (IFUAP)\r\n\r\n_database_code_CAS               ?\r\n_database_code_CSD               ?\r\n\r\n_audit_creation_method           SHELXL-2014/7\r\n_shelx_SHELXL_version_number     2014/7\r\n_audit_creation_date             2016-01-07\r\n\r\n_chemical_name_systematic        \r\n;\r\n2,5-Bis[((R)-(-)-(4-fluoro)phenylethyl)iminomethyl]thiophene\r\n;\r\n_chemical_name_common            ?\r\n_chemical_melting_point          420\r\n_chemical_formula_moiety         'C22 H20 F2 N2 S'\r\n_chemical_formula_sum            'C22 H20 F2 N2 S'\r\n_chemical_formula_weight         382.46\r\n_chemical_compound_source        ?\r\n_chemical_absolute_configuration ad\r\n\r\n_chemical_optical_rotation       '[\\a]^20^~D~ = -542.5 (c=1, CHCl~3~)'\r\n\r\n_chemical_properties_physical    ?\r\n_chemical_properties_biological  ?\r\nloop_\r\n_atom_type_symbol\r\n_atom_type_description\r\n_atom_type_scat_dispersion_real\r\n_atom_type_scat_dispersion_imag\r\n_atom_type_scat_source\r\nC C 0.0033 0.0016 'International Tables Vol C Tables 4.2.6.8 and 6.1.1.4'\r\nH H 0.0000 0.0000 'International Tables Vol C Tables 4.2.6.8 and 6.1.1.4'\r\nF F 0.0171 0.0103 'International Tables Vol C Tables 4.2.6.8 and 6.1.1.4'\r\nN N 0.0061 0.0033 'International Tables Vol C Tables 4.2.6.8 and 6.1.1.4'\r\nS S 0.1246 0.1234 'International Tables Vol C Tables 4.2.6.8 and 6.1.1.4'\r\n\r\n_space_group_crystal_system      orthorhombic\r\n_space_group_IT_number           18\r\n_space_group_name_H-M_alt        'P 21 21 2'\r\n_space_group_name_Hall           'P 2 2ab'\r\n\r\n_shelx_space_group_comment       ?\r\n\r\nloop_\r\n_space_group_symop_operation_xyz\r\n'x, y, z'\r\n'-x, -y, z'\r\n'x+1/2, -y+1/2, -z'\r\n'-x+1/2, y+1/2, -z'\r\n\r\n_cell_length_a                   21.1153(16)\r\n_cell_length_b                   7.7846(6)\r\n_cell_length_c                   6.1343(5)\r\n_cell_angle_alpha                90\r\n_cell_angle_beta                 90\r\n_cell_angle_gamma                90\r\n_cell_volume                     1008.32(14)\r\n_cell_formula_units_Z            2\r\n_cell_measurement_temperature    298(2)\r\n_cell_measurement_reflns_used    2744\r\n_cell_measurement_theta_max      23.1870\r\n_cell_measurement_theta_min      3.8190\r\n\r\n_exptl_crystal_description       prism\r\n_exptl_crystal_colour            colourless\r\n_exptl_crystal_density_meas      ?\r\n_exptl_crystal_density_method    ?\r\n_exptl_crystal_density_diffrn    1.260\r\n_exptl_crystal_F_000             400\r\n_exptl_transmission_factor_min   ?\r\n_exptl_transmission_factor_max   ?\r\n_exptl_crystal_size_max          0.8923\r\n_exptl_crystal_size_mid          0.4743\r\n_exptl_crystal_size_min          0.3253\r\n_exptl_absorpt_coefficient_mu    0.186\r\n_shelx_estimated_absorpt_T_min   ?\r\n_shelx_estimated_absorpt_T_max   ?\r\n_exptl_absorpt_correction_type   analytical\r\n_exptl_absorpt_correction_T_min  0.904\r\n_exptl_absorpt_correction_T_max  0.958\r\n_exptl_absorpt_process_details   'CrysAlisPro, (Agilent, 2013)'\r\n\r\n_diffrn_ambient_temperature      298(2)\r\n_diffrn_ambient_environment      air\r\n_diffrn_radiation_wavelength     0.71073\r\n_diffrn_radiation_type           MoK\\a\r\n_diffrn_source                   'Enhance (Mo) X-ray Source'\r\n_diffrn_radiation_probe          x-ray\r\n_diffrn_radiation_monochromator  graphite\r\n_diffrn_measurement_device       'four-circle diffractometer'\r\n_diffrn_measurement_device_type  'Agilent Xcalibur (Atlas, Gemini)'\r\n_diffrn_detector                 'CCD plate'\r\n_diffrn_detector_type            Atlas\r\n_diffrn_measurement_method       '\\w scans'\r\n_diffrn_detector_area_resol_mean 10.5564\r\n_diffrn_reflns_number            12336\r\n_diffrn_reflns_av_unetI/netI     0.0421\r\n_diffrn_reflns_av_R_equivalents  0.0578\r\n_diffrn_reflns_limit_h_min       -26\r\n_diffrn_reflns_limit_h_max       26\r\n_diffrn_reflns_limit_k_min       -9\r\n_diffrn_reflns_limit_k_max       9\r\n_diffrn_reflns_limit_l_min       -7\r\n_diffrn_reflns_limit_l_max       7\r\n_diffrn_reflns_theta_min         3.842\r\n_diffrn_reflns_theta_max         26.368\r\n_diffrn_reflns_theta_full        25.242\r\n_diffrn_measured_fraction_theta_max 0.996\r\n_diffrn_measured_fraction_theta_full 0.995\r\n_diffrn_reflns_Laue_measured_fraction_max 0.996\r\n_diffrn_reflns_Laue_measured_fraction_full 0.995\r\n_diffrn_reflns_point_group_measured_fraction_max 0.998\r\n_diffrn_reflns_point_group_measured_fraction_full 0.997\r\n\r\n_diffrn_orient_matrix_UB_11      -0.0295565000\r\n_diffrn_orient_matrix_UB_12      0.0379686000\r\n_diffrn_orient_matrix_UB_13      0.0263684000\r\n_diffrn_orient_matrix_UB_21      0.0141479000\r\n_diffrn_orient_matrix_UB_22      0.0825776000\r\n_diffrn_orient_matrix_UB_23      -0.0037781000\r\n_diffrn_orient_matrix_UB_31      -0.0073881000\r\n_diffrn_orient_matrix_UB_32      0.0061226000\r\n_diffrn_orient_matrix_UB_33      -0.1125503000\r\n\r\n_diffrn_measurement_details      \r\n;\r\n#__ type_ start__ end____ width___ exp.time_\r\n  1 omega  -60.00  -14.00   1.0000    1.0000\r\nomega____ theta____ kappa____ phi______ frames\r\n    -      -11.2235  -57.0000 -150.0000 46\r\n\r\n#__ type_ start__ end____ width___ exp.time_\r\n  2 omega   -1.00   80.00   1.0000    1.0000\r\nomega____ theta____ kappa____ phi______ frames\r\n    -       13.2548   38.0000 -180.0000 81\r\n\r\n#__ type_ start__ end____ width___ exp.time_\r\n  3 omega -100.00  -53.00   1.0000    1.0000\r\nomega____ theta____ kappa____ phi______ frames\r\n    -      -11.2235  178.0000 -120.0000 47\r\n\r\n#__ type_ start__ end____ width___ exp.time_\r\n  4 omega  -90.00   22.00   1.0000    1.0000\r\nomega____ theta____ kappa____ phi______ frames\r\n    -      -11.2235  -77.0000  -30.0000 112\r\n\r\n#__ type_ start__ end____ width___ exp.time_\r\n  5 omega  -25.00   55.00   1.0000    1.0000\r\nomega____ theta____ kappa____ phi______ frames\r\n    -       13.2548  -99.0000 -120.0000 80\r\n\r\n#__ type_ start__ end____ width___ exp.time_\r\n  6 omega  -63.00    1.00   1.0000    1.0000\r\nomega____ theta____ kappa____ phi______ frames\r\n    -       13.2548  -38.0000    0.0000 64\r\n\r\n#__ type_ start__ end____ width___ exp.time_\r\n  7 omega  -25.00   55.00   1.0000    1.0000\r\nomega____ theta____ kappa____ phi______ frames\r\n    -       13.2548  -99.0000  150.0000 80\r\n;\r\n\r\n_reflns_number_total             2067\r\n_reflns_number_gt                1591\r\n_reflns_threshold_expression     'I > 2\\s(I)'\r\n_reflns_Friedel_coverage         0.678\r\n_reflns_Friedel_fraction_max     1.000\r\n_reflns_Friedel_fraction_full    1.000\r\n\r\n_reflns_special_details          ?\r\n\r\n_computing_data_collection       'CrysAlis PRO (Agilent, 2013)'\r\n_computing_cell_refinement       'CrysAlis PRO'\r\n_computing_data_reduction        'CrysAlis PRO'\r\n_computing_structure_solution    'SHELXS-2014/7 (Sheldrick, 2015)'\r\n_computing_structure_refinement  'SHELXL-2014/7 (Sheldrick, 2015)'\r\n_computing_molecular_graphics    'MERCURY (Macrae et al., 2008)'\r\n_computing_publication_material  SHELXL-2014/7\r\n\r\n_refine_special_details          ?\r\n\r\n_refine_ls_structure_factor_coef Fsqd\r\n_refine_ls_matrix_type           full\r\n_refine_ls_weighting_scheme      calc\r\n_refine_ls_weighting_details     \r\n'w=1/[\\s^2^(Fo^2^)+(0.0384P)^2^+0.0613P] where P=(Fo^2^+2Fc^2^)/3'\r\n_atom_sites_solution_primary     direct\r\n_atom_sites_solution_secondary   difmap\r\n_atom_sites_solution_hydrogens   geom\r\n_refine_ls_hydrogen_treatment    constr\r\n_refine_ls_extinction_method     none\r\n_refine_ls_extinction_coef       .\r\n_refine_ls_abs_structure_details \r\n;\r\n Flack x determined using 518 quotients [(I+)-(I-)]/[(I+)+(I-)]\r\n (Parsons et al., 2013).\r\n;\r\n_refine_ls_abs_structure_Flack   0.07(6)\r\n_refine_ls_number_reflns         2067\r\n_refine_ls_number_parameters     124\r\n_refine_ls_number_restraints     0\r\n_refine_ls_R_factor_all          0.0704\r\n_refine_ls_R_factor_gt           0.0439\r\n_refine_ls_wR_factor_ref         0.0918\r\n_refine_ls_wR_factor_gt          0.0820\r\n_refine_ls_goodness_of_fit_ref   1.061\r\n_refine_ls_restrained_S_all      1.061\r\n_refine_ls_shift/su_max          0.000\r\n_refine_ls_shift/su_mean         0.000\r\n\r\nloop_\r\n_atom_site_label\r\n_atom_site_type_symbol\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\n_atom_site_U_iso_or_equiv\r\n_atom_site_adp_type\r\n_atom_site_occupancy\r\n_atom_site_site_symmetry_order\r\n_atom_site_calc_flag\r\n_atom_site_refinement_flags_posn\r\n_atom_site_refinement_flags_adp\r\n_atom_site_refinement_flags_occupancy\r\n_atom_site_disorder_assembly\r\n_atom_site_disorder_group\r\nS1 S 0.5000 0.0000 1.06817(15) 0.0479(3) Uani 1 2 d S T P . .\r\nF1 F 0.85802(10) 0.3203(3) 0.5731(5) 0.1163(9) Uani 1 1 d . . . . .\r\nN1 N 0.58698(11) 0.3119(3) 1.0120(4) 0.0498(6) Uani 1 1 d . . . . .\r\nC2 C 0.56853(13) 0.2830(4) 1.2046(5) 0.0479(8) Uani 1 1 d . . . . .\r\nH2A H 0.5795 0.3610 1.3130 0.057 Uiso 1 1 calc R U . . .\r\nC3 C 0.53102(13) 0.1344(4) 1.2646(4) 0.0461(8) Uani 1 1 d . . . . .\r\nC4 C 0.51751(14) 0.0774(4) 1.4690(4) 0.0556(8) Uani 1 1 d . . . . .\r\nH4A H 0.5300 0.1342 1.5953 0.067 Uiso 1 1 calc R U . . .\r\nC5 C 0.62513(14) 0.4679(4) 0.9770(5) 0.0568(8) Uani 1 1 d . . . . .\r\nH5A H 0.6336 0.5216 1.1185 0.068 Uiso 1 1 calc R U . . .\r\nC6 C 0.58661(16) 0.5931(5) 0.8368(7) 0.0829(12) Uani 1 1 d . . . . .\r\nH6A H 0.5476 0.6200 0.9094 0.124 Uiso 1 1 calc R U . . .\r\nH6B H 0.5777 0.5412 0.6983 0.124 Uiso 1 1 calc R U . . .\r\nH6C H 0.6105 0.6967 0.8149 0.124 Uiso 1 1 calc R U . . .\r\nC7 C 0.68777(14) 0.4223(3) 0.8702(5) 0.0462(7) Uani 1 1 d . . . . .\r\nC8 C 0.74419(15) 0.4799(4) 0.9563(5) 0.0577(8) Uani 1 1 d . . . . .\r\nH8A H 0.7436 0.5427 1.0852 0.069 Uiso 1 1 calc R U . . .\r\nC9 C 0.80144(15) 0.4470(4) 0.8567(7) 0.0697(10) Uani 1 1 d . . . . .\r\nH9A H 0.8391 0.4873 0.9163 0.084 Uiso 1 1 calc R U . . .\r\nC10 C 0.80134(17) 0.3551(5) 0.6707(7) 0.0689(10) Uani 1 1 d . . . . .\r\nC11 C 0.74733(18) 0.2932(4) 0.5777(5) 0.0654(9) Uani 1 1 d . . . . .\r\nH11A H 0.7489 0.2301 0.4491 0.078 Uiso 1 1 calc R U . . .\r\nC12 C 0.69042(15) 0.3265(4) 0.6789(5) 0.0543(8) Uani 1 1 d . . . . .\r\nH12A H 0.6532 0.2843 0.6184 0.065 Uiso 1 1 calc R U . . .\r\n\r\nloop_\r\n_atom_site_aniso_label\r\n_atom_site_aniso_U_11\r\n_atom_site_aniso_U_22\r\n_atom_site_aniso_U_33\r\n_atom_site_aniso_U_23\r\n_atom_site_aniso_U_13\r\n_atom_site_aniso_U_12\r\nS1 0.0499(6) 0.0559(6) 0.0379(5) 0.000 0.000 -0.0056(6)\r\nF1 0.0687(14) 0.1167(19) 0.164(2) -0.030(2) 0.0485(15) -0.0047(14)\r\nN1 0.0452(14) 0.0502(15) 0.0540(16) -0.0028(11) 0.0032(11) -0.0082(12)\r\nC2 0.0405(16) 0.054(2) 0.0489(18) -0.0073(16) -0.0043(14) -0.0028(15)\r\nC3 0.0388(15) 0.0544(19) 0.0452(17) -0.0024(14) -0.0013(13) -0.0011(15)\r\nC4 0.056(2) 0.071(2) 0.0396(15) -0.0040(14) -0.0020(13) -0.0115(15)\r\nC5 0.0545(18) 0.0513(19) 0.0647(18) -0.0111(16) 0.0112(15) -0.0104(16)\r\nC6 0.065(2) 0.060(2) 0.123(3) 0.016(2) 0.023(2) 0.0111(19)\r\nC7 0.0468(17) 0.0403(15) 0.0514(17) 0.0001(13) 0.0002(14) -0.0063(14)\r\nC8 0.0576(19) 0.0492(17) 0.0662(19) -0.0104(18) 0.0002(16) -0.0090(17)\r\nC9 0.047(2) 0.064(2) 0.099(3) -0.007(2) -0.0023(19) -0.0114(17)\r\nC10 0.054(2) 0.058(2) 0.095(3) 0.001(2) 0.021(2) -0.0009(18)\r\nC11 0.075(2) 0.063(2) 0.0577(19) -0.0053(18) 0.011(2) 0.000(2)\r\nC12 0.0499(18) 0.0573(19) 0.0557(18) -0.0020(16) -0.0063(16) -0.0058(17)\r\n\r\n_geom_special_details            ?\r\n\r\nloop_\r\n_geom_bond_atom_site_label_1\r\n_geom_bond_atom_site_label_2\r\n_geom_bond_distance\r\n_geom_bond_site_symmetry_2\r\n_geom_bond_publ_flag\r\nS1 C3 1.725(3) 2_655 ?\r\nS1 C3 1.725(3) . ?\r\nF1 C10 1.365(4) . ?\r\nN1 C2 1.264(4) . ?\r\nN1 C5 1.473(4) . ?\r\nC2 C3 1.450(4) . ?\r\nC2 H2A 0.9300 . ?\r\nC3 C4 1.360(4) . ?\r\nC4 C4 1.414(6) 2_655 ?\r\nC4 H4A 0.9300 . ?\r\nC5 C7 1.518(4) . ?\r\nC5 C6 1.533(5) . ?\r\nC5 H5A 0.9800 . ?\r\nC6 H6A 0.9600 . ?\r\nC6 H6B 0.9600 . ?\r\nC6 H6C 0.9600 . ?\r\nC7 C8 1.378(4) . ?\r\nC7 C12 1.392(4) . ?\r\nC8 C9 1.378(4) . ?\r\nC8 H8A 0.9300 . ?\r\nC9 C10 1.347(5) . ?\r\nC9 H9A 0.9300 . ?\r\nC10 C11 1.363(5) . ?\r\nC11 C12 1.377(4) . ?\r\nC11 H11A 0.9300 . ?\r\nC12 H12A 0.9300 . ?\r\n\r\nloop_\r\n_geom_angle_atom_site_label_1\r\n_geom_angle_atom_site_label_2\r\n_geom_angle_atom_site_label_3\r\n_geom_angle\r\n_geom_angle_site_symmetry_1\r\n_geom_angle_site_symmetry_3\r\n_geom_angle_publ_flag\r\nC3 S1 C3 91.4(2) 2_655 . ?\r\nC2 N1 C5 116.8(3) . . ?\r\nN1 C2 C3 123.2(3) . . ?\r\nN1 C2 H2A 118.4 . . ?\r\nC3 C2 H2A 118.4 . . ?\r\nC4 C3 C2 127.5(3) . . ?\r\nC4 C3 S1 111.5(2) . . ?\r\nC2 C3 S1 120.9(2) . . ?\r\nC3 C4 C4 112.81(18) . 2_655 ?\r\nC3 C4 H4A 123.6 . . ?\r\nC4 C4 H4A 123.6 2_655 . ?\r\nN1 C5 C7 110.3(2) . . ?\r\nN1 C5 C6 108.4(2) . . ?\r\nC7 C5 C6 111.6(2) . . ?\r\nN1 C5 H5A 108.8 . . ?\r\nC7 C5 H5A 108.8 . . ?\r\nC6 C5 H5A 108.8 . . ?\r\nC5 C6 H6A 109.5 . . ?\r\nC5 C6 H6B 109.5 . . ?\r\nH6A C6 H6B 109.5 . . ?\r\nC5 C6 H6C 109.5 . . ?\r\nH6A C6 H6C 109.5 . . ?\r\nH6B C6 H6C 109.5 . . ?\r\nC8 C7 C12 117.6(3) . . ?\r\nC8 C7 C5 120.8(3) . . ?\r\nC12 C7 C5 121.6(3) . . ?\r\nC7 C8 C9 121.9(3) . . ?\r\nC7 C8 H8A 119.1 . . ?\r\nC9 C8 H8A 119.1 . . ?\r\nC10 C9 C8 118.2(3) . . ?\r\nC10 C9 H9A 120.9 . . ?\r\nC8 C9 H9A 120.9 . . ?\r\nC9 C10 C11 122.9(3) . . ?\r\nC9 C10 F1 118.4(3) . . ?\r\nC11 C10 F1 118.7(3) . . ?\r\nC10 C11 C12 118.4(3) . . ?\r\nC10 C11 H11A 120.8 . . ?\r\nC12 C11 H11A 120.8 . . ?\r\nC11 C12 C7 121.1(3) . . ?\r\nC11 C12 H12A 119.5 . . ?\r\nC7 C12 H12A 119.5 . . ?\r\n\r\nloop_\r\n_geom_torsion_atom_site_label_1\r\n_geom_torsion_atom_site_label_2\r\n_geom_torsion_atom_site_label_3\r\n_geom_torsion_atom_site_label_4\r\n_geom_torsion\r\n_geom_torsion_site_symmetry_1\r\n_geom_torsion_site_symmetry_2\r\n_geom_torsion_site_symmetry_3\r\n_geom_torsion_site_symmetry_4\r\n_geom_torsion_publ_flag\r\nC5 N1 C2 C3 -179.6(2) . . . . ?\r\nN1 C2 C3 C4 168.6(3) . . . . ?\r\nN1 C2 C3 S1 -8.7(4) . . . . ?\r\nC3 S1 C3 C4 -0.29(16) 2_655 . . . ?\r\nC3 S1 C3 C2 177.4(3) 2_655 . . . ?\r\nC2 C3 C4 C4 -176.7(3) . . . 2_655 ?\r\nS1 C3 C4 C4 0.8(4) . . . 2_655 ?\r\nC2 N1 C5 C7 124.5(3) . . . . ?\r\nC2 N1 C5 C6 -113.0(3) . . . . ?\r\nN1 C5 C7 C8 -129.0(3) . . . . ?\r\nC6 C5 C7 C8 110.4(3) . . . . ?\r\nN1 C5 C7 C12 53.2(4) . . . . ?\r\nC6 C5 C7 C12 -67.4(4) . . . . ?\r\nC12 C7 C8 C9 1.0(5) . . . . ?\r\nC5 C7 C8 C9 -176.9(3) . . . . ?\r\nC7 C8 C9 C10 -0.4(5) . . . . ?\r\nC8 C9 C10 C11 -0.2(5) . . . . ?\r\nC8 C9 C10 F1 -179.1(3) . . . . ?\r\nC9 C10 C11 C12 0.0(6) . . . . ?\r\nF1 C10 C11 C12 179.0(3) . . . . ?\r\nC10 C11 C12 C7 0.6(5) . . . . ?\r\nC8 C7 C12 C11 -1.1(4) . . . . ?\r\nC5 C7 C12 C11 176.7(3) . . . . ?\r\n\r\n_refine_diff_density_max         0.149\r\n_refine_diff_density_min         -0.249\r\n_refine_diff_density_rms         0.038\r\n\r\n_shelx_res_file                  \r\n;\r\n\r\n    BIM-IV-R_MO.res created by SHELXL-2014/7\r\n\r\n\r\nTITL BIM-IV-R_MO in P21212 #18\r\nREM reset to P21212 #18\r\nCELL 0.71073  21.1153  7.7846  6.1343  90  90  90\r\nZERR 2         0.0016  0.0006  0.0005   0   0   0\r\nLATT -1\r\nSYMM -X,-Y,+Z\r\nSYMM 0.5+X,0.5-Y,-Z\r\nSYMM 0.5-X,0.5+Y,-Z\r\nSFAC C H F N S\r\nUNIT 44 40 4 4 2\r\n\r\nOMIT     1   0   1\r\nOMIT     0   0   1\r\nOMIT     2   1   0\r\n\r\nACTA\r\n\r\nL.S. 12\r\n\r\nBOND $H\r\nCONF\r\n\r\nFMAP 2\r\nPLAN 15\r\n\r\nWGHT    0.038400    0.061300\r\nFVAR      11.02408\r\nS1    5    0.500000    0.000000    1.068167    10.50000    0.04993    0.05588 =\r\n         0.03792    0.00000    0.00000   -0.00556\r\nF1    3    0.858016    0.320337    0.573105    11.00000    0.06868    0.11669 =\r\n         0.16362   -0.03014    0.04849   -0.00469\r\nN1    4    0.586978    0.311885    1.012008    11.00000    0.04521    0.05016 =\r\n         0.05399   -0.00282    0.00324   -0.00819\r\nC2    1    0.568525    0.283027    1.204566    11.00000    0.04045    0.05436 =\r\n         0.04890   -0.00726   -0.00435   -0.00280\r\nAFIX  43\r\nH2A   2    0.579544    0.360959    1.313033    11.00000   -1.20000\r\nAFIX   0\r\nC3    1    0.531019    0.134367    1.264617    11.00000    0.03878    0.05440 =\r\n         0.04520   -0.00239   -0.00127   -0.00111\r\nC4    1    0.517507    0.077394    1.469024    11.00000    0.05600    0.07117 =\r\n         0.03957   -0.00405   -0.00204   -0.01152\r\nAFIX  43\r\nH4A   2    0.529973    0.134205    1.595299    11.00000   -1.20000\r\nAFIX   0\r\nC5    1    0.625129    0.467931    0.977008    11.00000    0.05445    0.05126 =\r\n         0.06472   -0.01110    0.01119   -0.01045\r\nAFIX  13\r\nH5A   2    0.633617    0.521634    1.118516    11.00000   -1.20000\r\nAFIX   0\r\nC6    1    0.586614    0.593148    0.836801    11.00000    0.06514    0.06016 =\r\n         0.12337    0.01586    0.02303    0.01107\r\nAFIX 137\r\nH6A   2    0.547578    0.619981    0.909444    11.00000   -1.50000\r\nH6B   2    0.577652    0.541203    0.698258    11.00000   -1.50000\r\nH6C   2    0.610499    0.696654    0.814923    11.00000   -1.50000\r\nAFIX   0\r\nC7    1    0.687770    0.422324    0.870220    11.00000    0.04681    0.04032 =\r\n         0.05138    0.00010    0.00022   -0.00631\r\nC8    1    0.744187    0.479883    0.956277    11.00000    0.05760    0.04920 =\r\n         0.06625   -0.01036    0.00019   -0.00901\r\nAFIX  43\r\nH8A   2    0.743621    0.542688    1.085227    11.00000   -1.20000\r\nAFIX   0\r\nC9    1    0.801439    0.447035    0.856703    11.00000    0.04691    0.06382 =\r\n         0.09850   -0.00688   -0.00229   -0.01139\r\nAFIX  43\r\nH9A   2    0.839117    0.487273    0.916337    11.00000   -1.20000\r\nAFIX   0\r\nC10   1    0.801342    0.355078    0.670680    11.00000    0.05383    0.05770 =\r\n         0.09504    0.00058    0.02089   -0.00091\r\nC11   1    0.747330    0.293209    0.577684    11.00000    0.07542    0.06290 =\r\n         0.05775   -0.00530    0.01136    0.00015\r\nAFIX  43\r\nH11A  2    0.748873    0.230086    0.449078    11.00000   -1.20000\r\nAFIX   0\r\nC12   1    0.690416    0.326497    0.678899    11.00000    0.04991    0.05729 =\r\n         0.05567   -0.00200   -0.00625   -0.00575\r\nAFIX  43\r\nH12A  2    0.653151    0.284258    0.618422    11.00000   -1.20000\r\n\r\nAFIX   0\r\nHKLF 4\r\n\r\nREM  BIM-IV-R_MO in P21212 #18\r\nREM R1 =  0.0439 for    1591 Fo > 4sig(Fo)  and  0.0704 for all    2067 data\r\nREM    124 parameters refined using      0 restraints\r\n\r\nEND\r\n\r\nWGHT      0.0378      0.0621\r\n\r\nREM Highest difference peak  0.149,  deepest hole -0.249,  1-sigma level  0.038\r\nQ1    1   0.5000  0.0000  0.7900  10.50000  0.05    0.15\r\nQ2    1   0.5000  0.5000  1.2515  10.50000  0.05    0.14\r\nQ3    1   0.5395  0.6393  1.1882  11.00000  0.05    0.13\r\nQ4    1   0.8320  0.3653  0.4237  11.00000  0.05    0.13\r\nQ5    1   0.5572 -0.0226  1.8101  11.00000  0.05    0.12\r\nQ6    1   0.5994  0.2743  1.1107  11.00000  0.05    0.12\r\nQ7    1   0.5706  0.7959  0.9902  11.00000  0.05    0.11\r\nQ8    1   0.8327  0.4371  1.0937  11.00000  0.05    0.11\r\nQ9    1   0.5609  0.0622  1.5638  11.00000  0.05    0.11\r\nQ10   1   0.7514  0.1299  0.5004  11.00000  0.05    0.11\r\nQ11   1   0.7194  0.6138  1.1183  11.00000  0.05    0.11\r\nQ12   1   0.8127  0.4799  0.4204  11.00000  0.05    0.11\r\nQ13   1   0.6340  0.2493  0.4688  11.00000  0.05    0.10\r\nQ14   1   0.5492  0.5294  1.3019  11.00000  0.05    0.10\r\nQ15   1   0.5415  0.0616  1.3461  11.00000  0.05    0.10\r\n;\r\n_shelx_res_checksum              63132\r\n\r\n_shelx_hkl_file                  \r\n;\r\n   0   0  -1-0.63875 3541.28   7\r\n   0   0   1 1732.69 2658.21   2\r\n   0   0  -1 10031.1 3408.11   5\r\n   0   0  -2 229323. 4390.98   7\r\n   0   0   2 230256. 3210.95   2\r\n   0   0  -3 13151.2 1320.89   5\r\n   0   0  -3 15234.9 1481.96   7\r\n   0   0   3 15321.7 1378.22   5\r\n   0   0   3 13980.7 1023.89   2\r\n   0   0   4 2463.55 961.690   3\r\n   0   0   4 2296.18 697.949   4\r\n   0   0  -4 1580.90 708.096   5\r\n   0   0   4 1990.28 776.153   5\r\n   0   0  -4 1903.01 775.080   7\r\n   0   0   4 3066.26 880.414   7\r\n   0   0   4 2707.79 586.409   2\r\n   0   0   4 2722.26 641.580   1\r\n   0   0  -5 844.596 971.088   5\r\n   0   0   5 40.3117 436.008   2\r\n   0   0  -5 464.044 848.094   7\r\n   0   0   5-90.6999 651.568   1\r\n   0   0   5 279.731 763.283   4\r\n   0   0   6-188.035 744.357   4\r\n   0   0   6 1090.68 369.941   2\r\n   0   0   6 88.9819 599.335   1\r\n   0   0  -6-159.188 672.266   5\r\n   0   0   7-863.469 914.019   4\r\n   0   0   7 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1202.28   2\r\n   1  -3   7 3701.55 1474.82   4\r\n  -1   3   7 4240.98 1256.57   1\r\n  -1   3   6 95.0542 812.484   1\r\n   1  -3   6-1322.11 794.460   2\r\n  -1  -3  -6 810.254 1223.60   5\r\n   1   3  -6 1095.21 1234.00   7\r\n  -1  -3  -5 534.243 251.227   2\r\n   1  -3   5 1335.23 521.166   2\r\n  -1   3   5 1024.75 756.127   1\r\n  -1   3   5 1214.86 237.517   6\r\n  -1  -3  -5 429.710 774.584   5\r\n  -1   3   5 615.799 328.164   4\r\n   1  -3   5 1321.82 295.513   1\r\n   1   3  -5 1067.49 865.063   7\r\n   1  -3   4 767.882 720.564   5\r\n  -1  -3  -4 2436.24 475.337   2\r\n   1   3  -4 2694.81 966.612   7\r\n  -1   3   4 2732.63 968.387   1\r\n   1  -3   4 2171.26 756.066   7\r\n  -1  -3  -4 2295.04 842.119   5\r\n  -1   3   4 1992.67 756.816   3\r\n   1  -3   4 1410.17 836.106   6\r\n  -1   3   4 2104.10 345.811   4\r\n  -1   3   4 2338.38 434.277   6\r\n  -1  -3  -3 1952.87 722.232   5\r\n   1   3  -3 1889.41 658.717   7\r\n   1  -3   3 1445.01 597.422   7\r\n  -1   3   3 1201.03 502.839   3\r\n  -1   3   3 1973.21 466.888   6\r\n  -1  -3  -3 1784.33 414.194   2\r\n   1  -3   3 857.289 713.633   3\r\n  -1   3   3 1332.31 198.151   4\r\n  -1   3   3 1457.94 594.234   7\r\n  -1  -3  -3 1334.29 344.013   4\r\n   1  -3   3 1359.47 609.929   5\r\n   1  -3   3 2858.17 812.351   6\r\n  -1   3   3 2204.69 721.514   1\r\n   1   3  -2 94074.1 3020.08   7\r\n  -1   3   2 93308.4 2732.18   3\r\n  -1  -3  -2 81065.0 3204.31   5\r\n  -1  -3  -2 97093.1 2091.47   4\r\n  -1   3   2 86834.2 3042.62   7\r\n  -1   3   2 88421.2 2565.53   6\r\n   1  -3   2 91567.8 4001.52   3\r\n  -1  -3  -2 92979.2 2340.31   6\r\n   1  -3   2 90923.8 2731.38   7\r\n   1  -3   2 89000.0 1800.09   1\r\n  -1   3   1 165548. 3739.93   6\r\n   1  -3   1 154802. 3980.86   3\r\n   1   3  -1 157873. 2467.55   1\r\n  -1  -3  -1 148329. 3534.63   5\r\n  -1  -3  -1 159145. 2904.30   4\r\n   1  -3   1 152891. 2732.39   1\r\n   1   3  -1 164324. 3406.56   7\r\n  -1  -3  -1 157221. 3460.18   6\r\n  -1  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581.360   5\r\n   1   4  -5 677.471 644.360   7\r\n  -1   4   5 401.571 916.212   1\r\n  -1   4   4 3663.19 886.493   3\r\n   1  -4   4 1377.62 595.165   5\r\n  -1  -4  -4 1744.06 469.605   2\r\n   1  -4   4 1683.91 212.841   1\r\n  -1   4   4 1917.85 877.158   1\r\n   1   4  -4 1926.80 961.636   7\r\n  -1   4   4 2300.83 497.839   6\r\n  -1  -4  -4 1305.67 793.031   5\r\n   1  -4   4 2568.08 855.987   7\r\n  -1  -4  -3 23798.0 1178.60   4\r\n  -1  -4  -3 24771.2 1479.06   2\r\n  -1   4   3 27526.4 1863.16   3\r\n   1  -4   3 25595.2 1904.32   7\r\n   1  -4   3 28350.6 2871.52   3\r\n  -1  -4  -3 23914.6 1377.09   6\r\n   1   4  -3 24244.0 2011.89   7\r\n   1  -4   3 26642.3 2503.94   6\r\n   1  -4   3 25362.9 995.872   1\r\n  -1   4   3 24356.9 1567.66   6\r\n  -1  -4  -3 23308.8 2208.07   5\r\n  -1   4   3 25435.1 2083.88   7\r\n  -1   4   3 26720.1 2201.98   1\r\n  -1   4   2 48848.7 1519.23   3\r\n  -1   4   2 46210.7 2257.35   6\r\n   1   4  -2 48227.1 2296.13   7\r\n  -1  -4  -2 44711.2 2066.74   6\r\n  -1  -4  -2 43468.9 2554.54   5\r\n   1  -4   2 49928.9 3135.37   3\r\n   1  -4   2 44784.8 1574.24   1\r\n  -1  -4  -2 42776.8 1585.60   4\r\n   1   4  -1 105882. 2505.96   1\r\n  -1  -4  -1 102622. 3309.46   5\r\n   1  -4   1 100756. 2678.31   1\r\n  -1  -4  -1 110466. 3531.77   6\r\n  -1   4   1 107311. 3596.07   6\r\n   1  -4   1 108045. 3479.20   3\r\n  -1  -4  -1 103393. 2816.09   4\r\n  -1   4   1 105477. 3415.23   1\r\n  -1   4   0 35821.3 1788.16   1\r\n   1  -4   0 36802.2 2304.70   6\r\n  -1  -4   0 33228.2 1629.92   5\r\n   1   4   0 35094.3 1761.61   1\r\n  -1  -4   0 37280.5 2111.69   4\r\n  -1  -4   0 33046.5 2201.98   6\r\n   1  -4   0 31024.3 1706.71   1\r\n   1  -4  -1 104383. 3381.06   5\r\n   1   4   1 99511.3 3357.21   1\r\n   1  -4  -1 104566. 2712.42   4\r\n  -1   4  -1 101321. 2708.46   7\r\n   1  -4  -1 110665. 3633.66   6\r\n  -1   4  -2 44640.4 2104.78   7\r\n   1  -4  -2 49301.3 2712.85   5\r\n   1  -4  -2 44308.9 2186.53   6\r\n   1  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874.839   1\r\n  -1  -5  -1 5577.91 812.577   4\r\n   1  -5   1 4803.61 812.573   3\r\n   1  -5   1 4877.08 742.128   1\r\n  -1  -5  -1 4137.46 817.464   5\r\n   1   5  -1 4650.90 707.830   1\r\n   1  -5   1 4677.93 1173.20   6\r\n  -1  -5  -1 4086.48 908.504   6\r\n  -1   5   0 263.071 386.098   1\r\n  -1  -5   0 181.684 365.318   5\r\n  -1  -5   0 214.919 483.873   4\r\n   1   5   0 501.502 464.839   1\r\n  -1  -5   0 800.690 664.777   6\r\n  -1  -5   0-50.7512 113.148   3\r\n   1  -5   0 89.4044 449.474   6\r\n   1  -5  -1 5579.43 980.020   5\r\n   1  -5  -1 4527.74 722.029   4\r\n   1   5   1 5117.70 982.708   1\r\n   1  -5  -1 4070.01 924.987   6\r\n  -1   5  -1 4499.81 723.221   7\r\n  -1  -5   1 5457.30 1145.39   6\r\n  -1  -5   1 2445.95 662.088   3\r\n   1  -5  -2 26778.1 2235.71   5\r\n  -1   5  -2 29674.2 1898.07   7\r\n   1  -5  -2 29743.2 2147.65   6\r\n   1   5   2 29175.9 2317.97   1\r\n   1  -5  -2 29942.0 1335.97   4\r\n   1  -5  -3 4731.11 854.527   6\r\n  -1   5  -3 4230.64 984.333   7\r\n   1  -5  -3 6203.02 965.765   2\r\n   1   5   3 4968.63 1182.15   1\r\n  -1  -5   3 3621.81 1389.58   3\r\n   1  -5  -3 5937.02 1235.29   5\r\n   1  -5  -4 14100.8 1439.52   2\r\n   1   5   4 13146.7 2035.47   1\r\n   1  -5  -4 10517.0 1914.78   5\r\n  -1  -5   4 12574.5 1511.19   5\r\n  -1   5  -4 11461.5 1628.82   7\r\n   1  -5  -5 1812.23 879.604   5\r\n  -1  -5   5 2667.22 1024.45   2\r\n  -1   5  -5 2346.99 1004.91   7\r\n   1   5   5 2098.74 1088.72   1\r\n   1  -5  -6 2671.81 1376.61   5\r\n  -1  -5   6 3037.80 1512.39   2\r\n  -1   5  -6 4083.46 1511.14   7\r\n   1   5   6 4251.61 1565.62   1\r\n  -1  -6  -6-326.089 943.249   5\r\n   1   6  -6-5.21545 497.698   7\r\n   1  -6   6 1050.54 898.615   2\r\n  -1  -6  -5 1818.35 947.962   5\r\n   1   6  -5 844.603 892.455   7\r\n  -1   6   5 2585.45 1170.33   1\r\n  -1   6   4 4120.52 1308.32   1\r\n   1   6  -4 5629.81 1320.60   7\r\n  -1  -6  -4 4071.67 1385.70   5\r\n  -1  -6  -3 4941.98 881.170   6\r\n  -1  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5235.47 1060.15   1\r\n   2   0  -6 5629.44 1410.93   5\r\n  -2   0  -6 5884.20 1560.67   5\r\n   2   0   6 4066.37 1253.45   4\r\n   2   0   6 4062.46 700.225   2\r\n   2   0  -6 4479.98 1283.95   7\r\n  -2   0   6 4352.89 1132.70   4\r\n  -2   0   6 5209.32 986.793   2\r\n  -2   0   6 4289.20 965.015   1\r\n   2   0   7 6835.00 1568.94   4\r\n   2   0  -7 5665.80 1668.32   5\r\n   2   0   7 6726.22 1301.65   1\r\n  -2   0   7 6107.38 1327.97   4\r\n  -2   0  -7 8030.05 1761.50   5\r\n   2   0  -7 7498.61 2038.42   7\r\n  -2   0   7 7356.83 1324.32   1\r\n  -2   1   7 89.8885 764.896   4\r\n   2   1  -7-1954.34 1253.73   7\r\n  -2   1   7-393.896 932.002   1\r\n  -2  -1  -7 1455.36 968.787   5\r\n   2  -1   7 1315.94 779.008   4\r\n  -2   1   6 1163.09 783.499   1\r\n   2  -1   6 768.865 618.788   2\r\n  -2   1   6 760.712 543.452   2\r\n   2   1  -6 210.462 645.090   7\r\n   2  -1   6 588.376 574.256   1\r\n   2  -1   6 406.739 834.073   4\r\n  -2   1   6 1328.11 799.666   4\r\n   2  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2833.09   7\r\n   2  -1  -1 157535. 2641.58   1\r\n  -2  -1   1 170710. 1850.61   5\r\n   2   1   1 176953. 3011.27   3\r\n   2   1   1 165641. 2384.42   4\r\n   2  -1  -1 171388. 2842.55   5\r\n  -2   1  -1 163840. 2949.70   6\r\n  -2  -1   1 153413. 2977.92   2\r\n  -2   1  -1 167795. 2457.23   7\r\n   2  -1  -2 3401.41 654.226   5\r\n  -2  -1   2 2872.00 268.527   1\r\n  -2  -1   2 3766.20 526.668   5\r\n   2  -1  -2 2781.06 643.066   7\r\n   2   1   2 3336.60 721.860   3\r\n  -2   1  -2 4141.26 645.764   7\r\n   2  -1  -2 3935.99 551.196   2\r\n   2   1   2 2441.50 451.557   4\r\n  -2  -1   2 3211.62 613.778   2\r\n   2   1   3 21971.8 1425.04   4\r\n  -2   1  -3 19877.2 1661.84   7\r\n   2  -1  -3 21486.0 1719.31   5\r\n  -2  -1   3 19664.5 1510.50   2\r\n  -2  -1   3 18409.1 1424.81   5\r\n   2  -1  -3 18404.8 1721.17   7\r\n  -2  -1   3 20218.3 947.187   1\r\n   2   1   3 20974.3 2020.04   3\r\n   2   1   3 20345.7 742.885   2\r\n   2  -1  -3 21866.0 1357.15   2\r\n   2   1   4 17810.9 1867.52   7\r\n  -2  -1   4 16402.7 1585.47   2\r\n   2   1   4 17279.2 737.737   6\r\n   2   1   4 20334.1 2310.84   3\r\n   2  -1  -4 19203.2 1906.92   5\r\n   2   1   4 19323.6 1939.51   5\r\n  -2  -1   4 19478.2 1751.67   5\r\n   2   1   4 17188.8 1507.78   4\r\n   2   1   4 18772.7 927.590   2\r\n   2  -1  -4 18576.0 1979.35   7\r\n  -2  -1   4 17814.5 1103.84   1\r\n  -2   1  -4 15973.8 1753.11   7\r\n  -2  -1   4 19596.3 1848.48   7\r\n   2  -1  -4 16658.1 1384.02   2\r\n  -2  -1   5 23762.7 1540.04   1\r\n   2  -1  -5 24294.5 2558.60   7\r\n  -2  -1   5 24634.3 2287.33   5\r\n   2   1   5 24268.3 1198.26   2\r\n  -2  -1   5 23181.8 2054.29   2\r\n   2  -1  -5 25918.7 2481.58   5\r\n  -2   1  -5 25223.0 2535.82   7\r\n   2   1   5 25149.2 2100.39   4\r\n   2   1   5 24249.2 942.322   6\r\n   2  -1  -6 1290.66 1136.24   5\r\n  -2   1  -6 60.2968 828.717   7\r\n   2   1   6 983.342 782.971   4\r\n  -2  -1   6 889.877 673.789   2\r\n  -2  -1   6 751.440 487.483   1\r\n   2   1   6 1676.22 399.460   2\r\n   2  -1  -6 22.8911 1040.17   7\r\n   2   1   6 855.568 693.902   1\r\n   2  -1  -7 2498.49 957.094   5\r\n   2   1   7 1107.27 902.875   1\r\n  -2  -1   7-967.501 502.374   2\r\n   2   1   7-724.334 776.161   4\r\n  -2  -1   7 894.130 762.653   4\r\n   2   2  -7 2425.90 1261.78   7\r\n  -2   2   7 1815.98 1221.19   1\r\n   2  -2   7 3055.52 1261.90   4\r\n  -2  -2  -7 3166.60 1372.25   5\r\n   2  -2   6 6873.03 1552.99   4\r\n  -2  -2  -6 6017.86 1630.59   5\r\n  -2   2   6 5761.26 1300.75   1\r\n   2  -2   6 5559.42 900.812   1\r\n   2   2  -6 4637.73 1399.73   7\r\n  -2   2   6 5635.27 956.967   4\r\n   2  -2   6 5846.50 1111.45   2\r\n  -2   2   5 7290.59 1322.06   1\r\n   2  -2   5 4019.39 1081.30   6\r\n  -2   2   5 6419.98 769.056   6\r\n  -2   2   5 7413.48 961.721   4\r\n   2  -2   5 5378.52 1469.22   4\r\n   2   2  -5 8783.67 1618.91   7\r\n  -2  -2  -5 8244.60 1639.80   5\r\n   2  -2   5 7429.09 1235.09   2\r\n  -2   2   5 6932.58 934.519   2\r\n  -2   2   4 5431.22 689.658   4\r\n   2  -2   4 6306.45 1147.22   7\r\n  -2  -2  -4 5180.90 1168.88   5\r\n  -2   2   4 5758.51 819.933   2\r\n  -2   2   4 6340.31 757.370   6\r\n  -2   2   4 5574.85 1064.53   1\r\n   2   2  -4 6928.14 1276.82   7\r\n  -2   2   4 6834.55 1205.27   5\r\n   2  -2   4 6097.61 1151.34   6\r\n   2  -2   4 6073.28 1100.67   5\r\n  -2   2   4 6510.51 1158.58   7\r\n   2  -2   3 6820.51 1047.22   5\r\n  -2   2   3 5384.44 975.481   1\r\n   2  -2   3 5494.69 896.941   7\r\n   2  -2   3 8448.04 1447.56   3\r\n  -2   2   3 6167.84 718.938   6\r\n  -2  -2  -3 5654.31 742.444   4\r\n  -2  -2  -3 5304.42 1064.68   5\r\n   2   2  -3 6511.08 1129.62   7\r\n  -2   2   3 6407.53 1037.92   7\r\n   2  -2   3 6070.49 1013.40   6\r\n  -2   2   3 6747.56 536.358   4\r\n  -2  -2  -3 6107.62 479.513   2\r\n   2   2  -2 27659.4 1653.92   7\r\n  -2  -2  -2 25341.0 1186.50   4\r\n  -2  -2  -2 27423.1 888.251   2\r\n  -2  -2  -2 25616.5 731.333   6\r\n   2  -2   2 27393.3 1747.26   6\r\n  -2   2   2 26914.3 1659.51   7\r\n   2  -2   2 24010.3 1358.07   7\r\n  -2   2   2 27600.6 1331.34   6\r\n  -2  -2  -2 25791.1 1725.80   5\r\n   2  -2   2 26199.0 2072.31   3\r\n  -2  -2  -1 247206. 3478.41   3\r\n  -2  -2  -1 229076. 3957.67   5\r\n  -2   2   1 249933. 3652.14   7\r\n  -2  -2  -1 244227. 3302.37   6\r\n  -2  -2  -1 250821. 3303.58   4\r\n   2   2  -1 244245. 2124.20   1\r\n   2  -2   1 264157. 4763.84   3\r\n   2   2  -1 223601. 3703.74   7\r\n   2  -2   1 248963. 2946.35   7\r\n  -2   2   1 257012. 3995.30   6\r\n  -2  -2   0 17514.6 782.402   5\r\n  -2  -2   0 17327.5 1049.54   4\r\n   2  -2   0 17684.6 936.788   1\r\n  -2   2   0 16336.3 793.245   3\r\n  -2   2   0 16741.0 1143.26   6\r\n   2  -2  -1 250536. 4060.20   5\r\n   2  -2  -1 254629. 4073.51   1\r\n  -2   2  -1 245285. 3038.11   7\r\n   2   2   1 247100. 3351.94   4\r\n  -2   2  -1 257534. 4686.28   6\r\n   2  -2  -1 251721. 3911.66   6\r\n  -2   2  -2 24837.6 1436.53   7\r\n  -2  -2   2 23621.7 1508.57   7\r\n   2   2   2 25611.0 1144.82   4\r\n   2  -2  -2 25157.4 1323.65   2\r\n   2  -2  -2 22386.6 1595.83   5\r\n   2   2   2 26177.6 1640.50   3\r\n  -2  -2   2 24477.9 1179.19   5\r\n   2  -2  -3 6325.23 1112.06   5\r\n  -2  -2   3 6620.27 871.087   5\r\n   2   2   3 5167.39 673.364   4\r\n   2  -2  -3 6247.39 809.420   2\r\n   2   2   3 5847.40 1056.08   3\r\n  -2   2  -3 6543.39 1048.56   7\r\n  -2  -2   3 5764.03 1012.09   2\r\n  -2  -2   3 6752.59 991.165   7\r\n   2   2   4 6960.15 909.925   4\r\n  -2  -2   4 4301.89 901.241   5\r\n   2  -2  -4 6447.73 901.745   2\r\n   2   2   4 7246.34 1421.31   3\r\n  -2  -2   4 4880.94 1009.85   2\r\n   2  -2  -4 7070.85 1240.32   5\r\n  -2  -2   4 6690.83 1146.40   7\r\n  -2   2  -4 4334.27 1137.69   7\r\n  -2  -2   4 5539.88 454.169   1\r\n  -2  -2   5 7751.59 1299.56   5\r\n   2   2   5 6288.79 1127.49   4\r\n   2  -2  -5 6552.79 941.237   2\r\n  -2   2  -5 6526.37 1407.45   7\r\n  -2  -2   5 6309.33 626.346   1\r\n  -2  -2   5 7368.58 1321.72   2\r\n   2   2   5 8500.65 1443.06   1\r\n   2  -2  -5 7535.75 1506.99   5\r\n  -2  -2   6 5338.94 1219.70   2\r\n  -2   2  -6 6037.08 1511.64   7\r\n   2  -2  -6 4842.33 1376.25   5\r\n   2   2   6 5846.22 1151.72   4\r\n   2   2   6 5679.18 1315.51   1\r\n  -2  -2   6 5633.54 661.278   1\r\n  -2  -2   7 3900.44 1469.41   4\r\n  -2  -2   7 1200.91 875.314   2\r\n   2  -2  -7 554.519 1213.33   5\r\n   2   2   7 2826.60 1188.75   1\r\n  -2   2  -7 2633.04 1157.67   7\r\n   2  -3   7 2180.39 1595.43   4\r\n  -2  -3  -7 600.529 1334.56   5\r\n   2   3  -7 1687.96 1238.47   7\r\n   2  -3   7 259.001 953.794   2\r\n  -2   3   7 1076.81 978.067   1\r\n  -2  -3  -6-2113.25 1332.72   5\r\n  -2   3   6 980.509 878.695   1\r\n   2  -3   6 1974.04 1170.55   4\r\n   2   3  -6 541.172 1089.97   7\r\n   2  -3   6 591.378 595.901   2\r\n  -2  -3  -5 1554.02 1069.66   5\r\n  -2   3   5 1743.59 354.680   4\r\n  -2   3   5 3262.40 1015.43   1\r\n  -2   3   5 2247.83 470.056   6\r\n   2   3  -5 1772.90 961.120   7\r\n   2   3  -4 4022.43 1088.03   7\r\n   2  -3   4 4565.57 1024.34   7\r\n  -2  -3  -4 5131.90 1213.59   5\r\n  -2   3   4 4933.19 1265.85   3\r\n   2  -3   4 4648.48 1046.69   5\r\n   2  -3   4 5467.42 1304.07   6\r\n  -2  -3  -4 5049.03 523.183   2\r\n  -2   3   4 4352.95 369.753   4\r\n  -2   3   4 4325.30 637.014   6\r\n  -2   3   4 4540.57 1102.13   1\r\n   2  -3   3 35802.5 2252.51   5\r\n   2   3  -3 35764.9 2336.18   7\r\n  -2  -3  -3 33600.2 1580.85   4\r\n   2  -3   3 33359.8 1993.37   7\r\n  -2   3   3 33177.2 1652.38   6\r\n  -2   3   3 32022.3 2252.28   7\r\n   2  -3   3 37522.3 3109.28   3\r\n  -2  -3  -3 36432.1 1382.33   2\r\n   2  -3   3 38242.4 2602.14   6\r\n  -2   3   3 34184.4 2319.17   1\r\n  -2  -3  -3 36948.6 2551.97   5\r\n   2  -3   2 29570.8 2305.66   3\r\n  -2  -3  -2 30446.2 1356.43   4\r\n  -2  -3  -2 28622.1 1993.62   5\r\n  -2   3   2 28346.0 1578.43   6\r\n   2  -3   2 27863.4 1494.38   7\r\n   2  -3   2 27614.6 1126.42   1\r\n  -2   3   2 31686.2 1878.37   7\r\n   2   3  -2 29253.2 1805.87   7\r\n   2  -3   2 32284.0 2226.68   6\r\n  -2  -3  -2 30847.3 1328.16   6\r\n   2   3  -1 38462.7 1227.85   1\r\n  -2   3   1 38119.8 1904.48   6\r\n  -2  -3  -1 41151.2 1808.66   6\r\n  -2  -3  -1 38742.3 1567.00   4\r\n   2  -3   1 39548.3 1489.63   1\r\n   2  -3   1 38549.9 1976.15   3\r\n  -2  -3  -1 38598.3 1855.82   5\r\n  -2  -3  -1 39335.2 1313.26   3\r\n   2  -3   0 12164.5 969.484   1\r\n  -2  -3   0 14588.4 1181.23   4\r\n  -2   3   0 14493.8 1023.90   1\r\n  -2  -3   0 14886.9 928.260   5\r\n   2   3   0 13486.2 964.368   1\r\n  -2   3   0 11293.0 1191.00   6\r\n   2  -3  -1 39102.5 1885.55   5\r\n   2   3   1 41651.1 1793.86   5\r\n   2   3   1 38969.5 1764.50   4\r\n   2  -3  -1 41560.5 1968.34   1\r\n  -2   3  -1 36617.9 1331.89   7\r\n   2  -3  -1 44816.2 2033.71   6\r\n   2  -3  -2 30241.0 1633.60   6\r\n   2  -3  -2 28903.9 1949.76   5\r\n   2  -3  -2 30735.4 1609.83   2\r\n   2   3   2 28477.9 1335.18   4\r\n  -2   3  -2 30426.8 1647.44   7\r\n   2   3   2 29887.8 1914.26   5\r\n  -2  -3   3 36076.1 2184.09   7\r\n   2  -3  -3 35583.0 1872.43   2\r\n   2   3   3 33557.2 1499.37   4\r\n   2   3   3 31773.1 2223.80   7\r\n  -2  -3   3 32837.2 1774.19   5\r\n   2  -3  -3 35021.1 2435.96   5\r\n   2   3   3 34884.5 2297.91   3\r\n  -2   3  -3 35401.9 2199.99   7\r\n   2  -3  -4 4700.72 794.574   2\r\n   2  -3  -4 6089.08 1208.98   5\r\n   2   3   4 4481.98 1130.01   3\r\n  -2   3  -4 4971.15 1131.26   7\r\n  -2  -3   4 4529.76 861.839   5\r\n  -2  -3   4 5320.13 1176.99   2\r\n   2   3   4 4931.86 711.698   4\r\n   2   3   4 5125.95 1126.96   1\r\n  -2  -3   5 2701.27 917.785   2\r\n  -2  -3   5 2080.84 766.480   5\r\n   2   3   5 1971.71 647.443   4\r\n   2  -3  -5 1533.38 956.925   5\r\n  -2   3  -5 1714.16 924.586   7\r\n   2   3   5 2689.97 917.331   1\r\n   2  -3  -5 2291.06 629.676   2\r\n   2  -3  -6 2223.34 1199.26   5\r\n  -2  -3   6 3154.85 1118.04   2\r\n   2   3   6 840.571 802.905   1\r\n  -2   3  -6 3542.34 996.382   7\r\n   2   3   6 1177.21 661.714   4\r\n  -2   3  -7 26.8464 1258.81   7\r\n   2  -3  -7 518.841 1166.53   5\r\n   2   3   7 206.670 1077.55   1\r\n  -2  -3   7 2346.62 880.666   2\r\n   2  -4   6-582.790 740.375   2\r\n  -2   4   6 1180.89 962.438   1\r\n  -2  -4  -6-5.21717 928.249   5\r\n   2   4  -6 436.914 1028.29   7\r\n  -2  -4  -5 3197.90 1198.55   5\r\n   2   4  -5 3119.42 1163.67   7\r\n  -2   4   5 1968.65 1007.84   1\r\n   2  -4   5 2388.95 300.016   1\r\n  -2   4   5 2141.88 441.649   6\r\n   2  -4   4 3659.79 869.089   5\r\n  -2   4   4 4614.53 1044.66   3\r\n  -2  -4  -4 4242.68 620.101   2\r\n  -2   4   4 4555.95 1119.86   1\r\n   2   4  -4 2599.06 1025.04   7\r\n   2  -4   4 4466.01 1013.18   7\r\n  -2  -4  -4 4119.07 1319.05   5\r\n   2  -4   4 3868.77 437.523   1\r\n  -2   4   4 3538.28 617.722   6\r\n  -2  -4  -3 8751.68 1416.51   5\r\n  -2   4   3 7429.92 956.752   6\r\n   2  -4   3 8674.47 686.770   1\r\n   2  -4   3 8678.40 1659.32   3\r\n  -2  -4  -3 8597.67 814.746   4\r\n  -2  -4  -3 8899.26 806.305   6\r\n  -2   4   3 9780.56 1392.06   1\r\n  -2  -4  -3 9128.87 869.445   2\r\n  -2   4   3 8062.41 1071.77   3\r\n   2  -4   3 7993.16 1561.45   6\r\n  -2   4   3 9402.71 1307.43   7\r\n   2  -4   3 9611.79 1119.29   7\r\n   2   4  -3 9451.24 1363.50   7\r\n  -2   4   2 277.669 321.763   6\r\n  -2   4   2 170.997 395.274   7\r\n  -2  -4  -2 589.751 386.759   6\r\n  -2  -4  -2-184.882 571.262   5\r\n   2   4  -2 298.017 475.969   7\r\n   2  -4   2 482.463 554.790   3\r\n  -2   4   2-33.7820 215.886   3\r\n  -2  -4  -2 504.163 311.986   4\r\n   2  -4   2 267.923 271.599   1\r\n   2  -4   1 11064.3 1149.25   3\r\n   2  -4   1 11222.8 998.891   1\r\n   2   4  -1 13144.9 926.390   1\r\n  -2   4   1 12055.8 1288.37   1\r\n  -2  -4  -1 13301.9 1099.44   4\r\n  -2  -4  -1 11657.2 623.540   3\r\n  -2   4   1 12602.1 1331.73   6\r\n  -2  -4  -1 13111.8 1282.19   6\r\n  -2  -4  -1 11810.3 1205.75   5\r\n   2  -4   0 626.549 399.669   1\r\n   2  -4   0 249.319 467.371   6\r\n  -2   4   0 367.046 504.776   6\r\n  -2  -4   0 226.215 372.619   5\r\n  -2   4   0 131.220 346.144   1\r\n  -2  -4   0-5.28769 399.379   4\r\n   2   4   0 304.121 350.121   1\r\n  -2  -4   0 18.6007 479.438   6\r\n   2  -4  -1 12729.4 1007.05   4\r\n   2  -4  -1 12233.7 1319.79   6\r\n   2   4   1 11033.5 1243.50   1\r\n  -2   4  -1 13341.1 959.687   7\r\n   2  -4  -1 12670.8 1248.79   1\r\n   2  -4  -1 12924.2 1315.29   5\r\n   2   4   2 59.5170 432.568   5\r\n   2  -4  -2-48.1978 530.284   5\r\n   2   4   2 324.553 351.714   4\r\n   2  -4  -2 277.570 349.446   6\r\n  -2   4  -2 47.8156 367.223   7\r\n   2  -4  -2 239.201 126.309   4\r\n   2  -4  -3 6864.13 1338.06   5\r\n   2  -4  -3 8632.79 1042.13   2\r\n   2   4   3 8453.43 1329.07   1\r\n  -2  -4   3 8510.05 1004.31   5\r\n  -2   4  -3 8302.49 1183.18   7\r\n   2   4   3 8647.46 837.831   4\r\n   2  -4  -4 2830.73 692.620   2\r\n   2   4   4 3809.92 1087.97   1\r\n  -2  -4   4 4288.33 907.244   5\r\n  -2   4  -4 3074.63 902.220   7\r\n   2   4   4 4034.70 948.739   3\r\n   2   4   4 3144.64 533.971   4\r\n   2  -4  -4 3497.14 1074.84   5\r\n  -2  -4   5 1095.40 857.531   2\r\n   2   4   5 1244.32 694.645   3\r\n  -2   4  -5 4586.59 1190.93   7\r\n  -2  -4   5 2623.77 1003.41   5\r\n   2  -4  -5 631.903 577.219   2\r\n   2   4   5 3282.58 591.836   4\r\n   2  -4  -5 3309.47 1180.32   5\r\n   2   4   5 2721.33 1227.57   1\r\n   2  -4  -6 2044.22 892.069   5\r\n  -2   4  -6 54.1348 977.493   7\r\n  -2  -4   6 17.5583 668.080   2\r\n   2  -5   6 1839.98 787.217   2\r\n  -2  -5  -6 101.595 841.918   5\r\n  -2   5   6-525.346 1126.54   1\r\n   2   5  -6-1003.93 1186.37   7\r\n  -2   5   5-454.745 827.846   1\r\n   2   5  -5-1268.07 838.847   7\r\n   2  -5   4 9463.94 1496.62   5\r\n  -2  -5  -4 11767.8 1159.15   2\r\n   2  -5   4 9309.14 647.799   1\r\n  -2  -5  -4 8857.10 1722.26   5\r\n   2   5  -4 9134.36 1557.06   7\r\n  -2  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1796.03   1\r\n  -2  -5   4 10616.1 1302.94   5\r\n   2  -5  -4 9108.68 1819.05   5\r\n  -2  -5   5 79.2718 576.731   2\r\n  -2   5  -5-480.675 602.040   7\r\n   2   5   5 348.969 1142.27   1\r\n   2  -5  -6 775.991 709.942   5\r\n  -2  -5   6 463.059 1101.03   2\r\n  -2   5  -6 738.590 886.722   7\r\n   2   5   6 1658.74 1110.35   1\r\n   2   6  -6 1792.36 1298.64   7\r\n  -2   6   6 1043.21 1208.68   1\r\n  -2  -6  -6-104.586 1214.21   5\r\n   2   6  -5-78.0180 906.704   7\r\n  -2  -6  -5-1530.20 1242.20   5\r\n  -2   6   5 981.206 1179.73   1\r\n  -2  -6  -4 1318.24 919.178   5\r\n  -2   6   4 3067.73 1228.26   1\r\n   2   6  -4 1885.84 924.819   7\r\n  -2   6   3 536.945 892.952   1\r\n   2   6  -3 933.937 641.124   7\r\n   2  -6   3 501.623 328.084   1\r\n  -2  -6  -3 911.761 569.199   6\r\n  -2  -6  -3 688.187 398.552   4\r\n  -2  -6  -3 1529.86 993.299   5\r\n  -2  -6  -2 2017.55 876.742   5\r\n  -2  -6  -2 1393.45 555.910   4\r\n   2  -6   2 1031.68 523.209   3\r\n   2   6  -2 956.100 627.807   7\r\n   2  -6   2 1326.72 500.966   1\r\n  -2  -6  -2 2217.30 651.489   6\r\n  -2   6   2 2639.59 1033.81   1\r\n  -2  -6  -1 26041.7 2381.51   6\r\n   2   6  -1 22837.3 1608.64   1\r\n  -2   6   1 24238.2 2098.64   1\r\n  -2  -6  -1 25185.2 1876.07   4\r\n   2  -6   1 25823.8 1746.73   3\r\n   2  -6   1 23010.6 1784.45   1\r\n  -2  -6  -1 26509.3 2177.36   5\r\n  -2  -6   0 482.989 526.878   5\r\n   2   6   0 384.560 553.249   1\r\n  -2   6   0 101.215 516.706   1\r\n  -2  -6   0 98.2620 148.776   3\r\n  -2  -6   0 699.553 603.855   4\r\n   2  -6  -1 27787.7 2491.61   6\r\n   2  -6  -1 22236.0 1737.31   4\r\n  -2   6  -1 27499.2 1720.26   7\r\n   2   6   1 27814.8 2247.35   1\r\n  -2  -6   1 24534.3 1671.66   5\r\n   2  -6  -1 25636.1 2165.91   5\r\n  -2  -6   1 25259.2 2054.17   3\r\n  -2  -6   2 1206.42 510.138   3\r\n   2   6   2 2192.38 900.739   1\r\n   2  -6  -2 1256.76 716.633   5\r\n   2  -6  -2 1127.79 616.819   6\r\n  -2   6  -2 1007.83 523.464   7\r\n   2  -6  -2 1824.29 426.463   4\r\n   2   6   3 520.455 672.477   1\r\n   2  -6  -3 686.608 594.231   2\r\n  -2   6  -3 410.423 543.651   7\r\n   2  -6  -3-50.8957 706.235   6\r\n   2  -6  -3 1213.30 922.235   5\r\n   2   6   4 1172.06 1220.33   1\r\n  -2   6  -4 1553.57 859.795   7\r\n   2  -6  -4 2110.64 1131.00   5\r\n   2   6   5-71.0473 820.309   1\r\n  -2   6  -5 601.455 838.211   7\r\n  -2  -6   5-1572.98 1057.03   2\r\n   2   6   6 2812.44 1384.93   1\r\n  -2  -6   6 1162.71 1236.62   2\r\n  -2   6  -6 1444.34 1338.42   7\r\n   2  -6  -6 3571.26 1274.58   5\r\n   2   7  -5 1885.32 939.131   7\r\n  -2   7   5 2828.34 1132.78   1\r\n  -2  -7  -4 1600.33 657.815   5\r\n   2   7  -4 942.274 825.529   7\r\n  -2   7   4 1414.21 1220.23   1\r\n   2   7  -3 6828.62 1289.92   7\r\n  -2  -7  -3 3368.89 1072.81   5\r\n  -2   7   3 5158.34 1450.93   1\r\n  -2  -7  -2 9106.79 1165.98   4\r\n   2  -7   2 8652.84 1390.76   3\r\n  -2   7   2 6632.98 1437.75   1\r\n   2   7  -2 7633.44 1283.62   7\r\n  -2  -7  -2 8448.01 1511.49   5\r\n  -2   7   1 12244.3 1705.19   1\r\n   2   7  -1 12112.1 1344.35   1\r\n  -2  -7  -1 10034.0 1489.91   5\r\n  -2  -7  -1 8880.39 1400.95   4\r\n   2  -7   0 2935.59 855.845   4\r\n  -2   7   0 2749.11 864.947   1\r\n   2  -7   0 3433.81 1016.03   5\r\n   2   7   0 2507.98 952.632   1\r\n  -2  -7   0 2373.02 782.863   5\r\n   2  -7  -1 9835.16 1584.68   5\r\n  -2  -7   1 9993.65 1251.58   5\r\n   2   7   1 11356.3 1632.27   1\r\n  -2   7  -1 12875.8 1363.39   7\r\n   2  -7  -1 10934.3 1354.54   4\r\n  -2  -7   1 10502.6 1284.61   3\r\n   2  -7  -2 8813.15 1794.42   5\r\n  -2  -7   2 6763.86 1420.66   3\r\n  -2   7  -2 7705.22 1122.02   7\r\n   2   7   2 8038.17 1599.91   1\r\n   2   7   3 4431.05 1386.45   1\r\n  -2   7  -3 4172.33 991.752   7\r\n   2  -7  -3 4566.80 1362.26   5\r\n  -2   7  -4 232.957 774.242   7\r\n   2  -7  -4 1728.84 1120.91   5\r\n   2   7   4 379.233 1033.98   1\r\n  -2   7  -5 1555.07 924.739   7\r\n   2   7   5 2759.58 1117.25   1\r\n   2  -7  -5 506.530 1212.75   5\r\n  -2   8   4 428.646 1098.09   1\r\n   2   8  -4 539.771 714.760   7\r\n   2   8  -3-157.437 644.730   7\r\n  -2  -8  -3 1222.36 756.243   5\r\n  -2   8   3 688.739 941.070   1\r\n   2   8  -2 315.059 606.797   7\r\n  -2   8   2 307.516 889.542   1\r\n  -2  -8  -2 297.463 669.439   5\r\n  -2  -8  -1 608.471 862.043   5\r\n  -2   8   1 1629.87 1027.37   1\r\n   2   8  -1 2416.96 920.107   7\r\n   2   8  -1 1230.49 628.004   1\r\n  -2   8   0 4719.99 1079.66   1\r\n   2  -8   0 5207.27 1198.24   5\r\n  -2  -8   0 5419.06 1123.61   5\r\n   2   8   0 6478.27 1204.24   1\r\n  -2  -8   1 1142.88 601.964   5\r\n   2   8   1 1169.87 905.879   1\r\n  -2   8  -1 2267.78 690.358   7\r\n   2  -8  -1 1040.03 654.199   5\r\n  -2   8  -2 386.975 531.386   7\r\n   2  -8  -2 763.200 700.513   5\r\n  -2  -8   2 734.849 468.781   5\r\n   2   8   2-255.412 613.331   1\r\n   2  -8  -3-739.741 946.376   5\r\n   2   8   3 1250.82 767.087   1\r\n  -2   8  -3 798.964 382.574   7\r\n   2  -8  -4-2379.82 1426.99   5\r\n   2   8   4 695.909 1192.04   1\r\n  -2   9   2-1173.56 1094.49   1\r\n   2   9  -2 510.316 567.893   7\r\n  -2   9   1 11.0068 840.078   1\r\n   2  -9   1-1299.39 854.477   5\r\n   2   9  -1 1488.57 887.834   7\r\n  -2  -9  -1 1303.86 647.138   5\r\n   2  -9   0 235.528 447.552   5\r\n   2   9   0 506.028 622.142   1\r\n  -2  -9   1 1592.42 653.186   5\r\n   2   9   1 818.592 734.873   1\r\n   2  -9  -1 250.877 667.635   5\r\n   2  -9  -2 353.032 696.256   5\r\n   2   9   2 208.457 911.164   1\r\n   3   0  -1 93365.7 1624.03   1\r\n   3   0   1 94916.9 1709.93   6\r\n  -3   0  -1 96854.1 2222.67   4\r\n   3   0   1 102631. 2630.78   3\r\n  -3   0  -1 98246.8 1716.78   6\r\n  -3   0   1 96488.3 1926.29   4\r\n  -3   0   1 99020.7 2227.02   2\r\n   3   0  -1 98357.9 1751.62   5\r\n   3   0  -1 92724.4 2106.19   7\r\n  -3   0   2 73807.6 2332.83   2\r\n   3   0   2 78313.6 3121.81   3\r\n   3   0  -2 73209.4 2360.43   2\r\n   3  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1625.40   7\r\n   3   1   6 3063.32 956.545   4\r\n  -3  -1   6 2928.40 973.592   2\r\n   3   1   6 3853.26 1104.11   1\r\n   3  -1  -6 3026.99 1182.23   5\r\n  -3  -1   6 3713.94 731.489   1\r\n   3  -1  -6 1530.17 1091.21   7\r\n   3  -1  -7 3687.77 1327.06   5\r\n   3   1   7 2325.86 1033.88   4\r\n   3   1   7 2989.91 1172.65   1\r\n  -3  -1   7 717.729 1050.39   4\r\n  -3  -1   7 1524.72 660.716   2\r\n  -3   2   7 541.217 617.294   1\r\n  -3  -2  -7 583.385 1320.45   5\r\n   3  -2   7-153.942 973.643   4\r\n   3   2  -7 2328.35 977.221   7\r\n  -3  -2  -6 1317.97 1154.06   5\r\n  -3   2   6 1770.14 915.052   1\r\n  -3   2   6 1423.64 562.574   4\r\n   3  -2   6 1482.01 1119.93   4\r\n   3  -2   6 1134.07 523.135   2\r\n   3   2  -6 636.793 1163.78   7\r\n  -3   2   6 1127.19 332.791   6\r\n  -3   2   6 785.561 391.869   2\r\n   3  -2   5 19129.6 2314.91   4\r\n  -3   2   5 18868.5 1542.20   2\r\n  -3   2   5 18972.7 1444.02   4\r\n  -3  -2  -5 18379.6 2362.74   5\r\n   3  -2   5 17106.7 1902.80   6\r\n   3  -2   5 20498.5 1885.18   2\r\n  -3   2   5 18218.7 1981.03   1\r\n  -3   2   5 17920.0 1409.40   6\r\n   3   2  -5 20805.8 2437.57   7\r\n  -3   2   4 17666.5 1690.87   1\r\n  -3   2   4 16797.3 1845.29   7\r\n   3  -2   4 18733.1 1811.23   7\r\n  -3   2   4 16404.8 1078.58   4\r\n  -3   2   4 15258.9 1267.11   2\r\n   3  -2   4 18115.9 1763.27   6\r\n  -3   2   4 19914.9 1909.41   5\r\n  -3   2   4 16180.5 1279.98   6\r\n   3  -2   4 18139.5 1902.20   5\r\n   3   2  -4 17097.5 1922.53   7\r\n  -3  -2  -4 16521.8 1985.84   5\r\n   3  -2   3 101438. 3596.67   6\r\n  -3  -2  -3 94821.4 2936.03   4\r\n  -3   2   3 95724.7 2814.96   2\r\n  -3  -2  -3 89415.8 3739.82   5\r\n  -3   2   3 91265.8 1735.04   4\r\n   3  -2   3 92487.8 3245.72   7\r\n  -3   2   3 103206. 3439.09   1\r\n  -3   2   3 96942.8 3760.65   7\r\n  -3   2   3 92379.4 2751.53   6\r\n   3   2  -3 95288.4 3733.43   7\r\n   3  -2   3 101338. 4806.07   3\r\n  -3   2   3 82646.1 1788.46   4\r\n   3  -2   3 98883.7 3613.82   5\r\n  -3  -2  -2 52999.3 2534.49   3\r\n   3  -2   2 55559.7 1985.40   7\r\n   3  -2   2 51170.0 2371.26   6\r\n   3  -2   2 52442.2 2881.96   3\r\n  -3  -2  -2 49361.1 2387.85   5\r\n  -3   2   2 54848.9 2347.57   7\r\n  -3  -2  -2 52336.8 1864.87   4\r\n   3   2  -2 55382.6 2344.63   7\r\n  -3   2   2 54163.6 2005.75   6\r\n  -3  -2  -1 14503.8 1078.06   5\r\n  -3  -2  -1 15594.6 945.886   4\r\n   3  -2   1 16067.7 1245.25   3\r\n  -3  -2  -1 16250.3 1009.48   3\r\n  -3   2   1 14833.1 1094.42   6\r\n   3   2  -1 14628.7 1057.21   7\r\n   3  -2   1 16381.4 708.442   7\r\n  -3   2   1 15706.1 952.788   7\r\n   3  -2   0 125960. 2570.21   1\r\n  -3   2   0 128192. 3144.54   6\r\n   3   2   0 130453. 1939.39   5\r\n  -3  -2   0 129966. 2870.18   4\r\n  -3  -2   0 132519. 2095.53   5\r\n  -3   2  -1 14642.3 1261.91   3\r\n   3  -2  -1 15236.8 1007.45   2\r\n  -3   2  -1 15171.0 1214.96   6\r\n   3   2   1 13666.9 912.885   4\r\n   3   2   1 15193.4 1053.89   5\r\n  -3   2  -1 15650.3 752.936   7\r\n   3  -2  -1 15232.4 1077.86   6\r\n   3  -2  -1 15750.5 1078.72   1\r\n   3   2   2 52614.3 2316.34   3\r\n   3  -2  -2 51714.0 2256.97   7\r\n   3  -2  -2 50721.2 2295.11   5\r\n  -3  -2   2 48892.2 2394.01   2\r\n  -3   2  -2 48215.0 1971.10   7\r\n   3  -2  -2 51814.8 2029.34   2\r\n   3   2   2 52132.7 1782.44   4\r\n  -3  -2   2 51278.4 1564.90   5\r\n   3  -2  -2 51925.1 2181.02   1\r\n  -3  -2   3 97540.9 3463.93   7\r\n  -3  -2   3 90342.4 2814.90   5\r\n   3   2   3 94784.9 2741.11   4\r\n   3  -2  -3 95818.5 3719.60   7\r\n   3  -2  -3 88020.7 2903.08   2\r\n   3   2   3 95032.1 3916.22   3\r\n   3  -2  -3 88076.3 3567.11   5\r\n  -3  -2   3 91560.6 3571.63   2\r\n  -3   2  -3 91101.7 3375.37   7\r\n   3   2   4 15535.8 2012.27   3\r\n   3  -2  -4 18313.5 1971.30   7\r\n  -3  -2   4 14271.7 1645.76   2\r\n  -3  -2   4 15275.5 1504.42   5\r\n   3  -2  -4 14985.1 1804.39   5\r\n   3  -2  -4 17161.7 1472.52   2\r\n   3   2   4 14942.3 1355.24   4\r\n  -3   2  -4 15480.8 1723.95   7\r\n  -3  -2   5 16384.5 861.461   1\r\n   3   2   5 23724.3 1927.83   4\r\n  -3  -2   5 19337.2 2127.40   2\r\n   3  -2  -5 22085.5 1799.57   2\r\n   3  -2  -5 16352.8 2162.66   5\r\n  -3  -2   5 19976.4 1906.54   5\r\n  -3   2  -5 18977.5 2188.18   7\r\n   3   2   6 1128.10 809.465   1\r\n   3   2   6 2088.28 686.624   4\r\n  -3  -2   6 1404.36 643.456   2\r\n  -3   2  -6 1880.66 909.857   7\r\n   3  -2  -6 2035.33 1055.26   5\r\n   3  -2  -7 1463.98 1090.39   5\r\n   3   2   7 387.316 797.076   1\r\n  -3  -2   7 1587.00 835.457   2\r\n   3   3  -7 1519.90 1317.73   7\r\n  -3  -3  -7 1834.12 1164.07   5\r\n  -3   3   7 4136.16 1365.71   1\r\n   3  -3   7 3321.17 1549.43   4\r\n  -3  -3  -6 3171.99 1511.21   5\r\n  -3   3   6 3626.19 1128.71   1\r\n   3  -3   6 3509.64 1359.12   4\r\n   3  -3   6 1914.95 823.616   2\r\n   3   3  -6 5173.04 1533.14   7\r\n  -3  -3  -5 1601.72 1093.52   5\r\n  -3   3   5 1768.41 992.314   1\r\n  -3   3   5 1093.18 257.170   4\r\n   3  -3   5 1052.39 952.776   4\r\n  -3   3   5 1181.21 403.057   6\r\n  -3   3   5 1285.79 264.192   4\r\n   3   3  -5 1078.30 786.550   7\r\n  -3  -3  -4 866.355 167.277   2\r\n   3  -3   4 1144.33 634.072   5\r\n  -3  -3  -4 1009.20 781.846   5\r\n   3  -3   4 2039.76 801.829   7\r\n  -3   3   4 563.355 449.900   6\r\n  -3   3   4 1202.87 684.665   1\r\n  -3   3   4 6.93921 795.674   3\r\n   3  -3   4 1219.96 801.414   6\r\n   3   3  -4 760.608 674.349   7\r\n  -3  -3  -3 1631.11 330.724   2\r\n   3   3  -3 1756.31 764.362   7\r\n   3  -3   3 1370.74 639.924   5\r\n   3  -3   3 716.311 706.101   3\r\n  -3   3   3 905.904 585.400   7\r\n   3  -3   3 1638.74 671.744   6\r\n  -3  -3  -3 1455.08 739.663   5\r\n   3  -3   3 1205.81 573.474   7\r\n  -3   3   3 1332.71 629.243   1\r\n  -3  -3  -3 1790.59 457.778   4\r\n  -3   3   3 1456.29 487.302   6\r\n  -3  -3  -2 110004. 3467.66   3\r\n  -3   3   2 114697. 3521.28   7\r\n   3  -3   2 112809. 4357.51   3\r\n  -3   3   2 114014. 3292.67   6\r\n   3   3  -2 118665. 3536.52   7\r\n   3  -3   2 121217. 2843.12   7\r\n   3  -3   2 117171. 4111.40   6\r\n  -3  -3  -2 108537. 2754.96   4\r\n  -3  -3  -2 111722. 3793.59   5\r\n  -3  -3  -2 114480. 2458.25   6\r\n   3  -3   1 33389.4 1834.72   3\r\n  -3  -3  -1 30315.9 1659.29   5\r\n   3  -3   1 32155.9 1421.95   1\r\n  -3   3   1 33709.6 1852.82   6\r\n  -3   3   1 33911.3 1493.75   7\r\n  -3  -3  -1 31822.9 1513.01   4\r\n   3   3  -1 34360.0 1189.90   1\r\n  -3   3   0 96049.2 2272.23   3\r\n  -3   3   0 90144.9 2516.63   1\r\n  -3  -3   0 92776.5 2893.24   4\r\n   3  -3   0 93872.0 2625.97   1\r\n  -3  -3   0 93134.4 2201.96   5\r\n  -3   3  -1 31193.8 2021.84   6\r\n   3  -3  -1 33209.6 1781.31   1\r\n   3   3   1 26459.9 1513.84   4\r\n   3  -3  -1 30121.1 1755.79   6\r\n  -3  -3   1 26787.8 2073.58   4\r\n  -3   3  -1 30918.9 1150.76   7\r\n   3   3   1 32591.5 1612.41   5\r\n  -3   3  -2 108733. 2942.18   7\r\n   3   3   2 114351. 3693.84   5\r\n  -3  -3   2 109307. 2313.14   5\r\n   3   3   2 108467. 2763.29   4\r\n   3  -3  -2 107175. 3635.64   5\r\n   3  -3  -2 110318. 3254.18   6\r\n   3  -3  -2 115057. 3596.59   1\r\n   3  -3  -2 114471. 3187.92   2\r\n  -3  -3   3 1617.74 662.110   7\r\n   3  -3  -3 1428.71 704.586   5\r\n   3  -3  -3 826.894 430.801   2\r\n   3   3   3 1296.97 587.703   7\r\n   3   3   3 1309.61 703.797   5\r\n   3   3   3 1696.53 652.383   3\r\n   3   3   3 1624.29 468.218   4\r\n  -3  -3   3 1419.12 461.955   5\r\n  -3   3  -3 1342.03 566.683   7\r\n   3  -3  -4 911.515 800.029   5\r\n   3   3   4 819.853 419.518   3\r\n   3  -3  -4 1220.82 534.775   2\r\n  -3  -3   4 873.427 531.221   5\r\n  -3   3  -4 1200.69 727.922   7\r\n   3   3   4 1301.88 514.517   4\r\n  -3  -3   4 342.203 640.173   2\r\n  -3   3  -5-103.190 713.185   7\r\n   3   3   5 1684.83 863.605   1\r\n   3  -3  -5 8.30647 655.863   2\r\n  -3  -3   5 1151.74 613.299   2\r\n  -3  -3   5-838.270 734.524   5\r\n   3   3   5 1275.14 598.518   4\r\n   3  -3  -5 1340.03 977.912   5\r\n  -3   3  -6 1680.65 963.371   7\r\n   3  -3  -6 4133.07 1318.84   5\r\n   3   3   6 3352.89 1193.17   1\r\n  -3  -3   6 2941.38 1207.75   2\r\n   3   3   6 2159.10 821.845   4\r\n   3  -3  -7 3571.07 1496.64   5\r\n   3   3   7 3828.63 1252.67   1\r\n  -3   3  -7 2246.86 1123.93   7\r\n  -3  -3   7 5089.13 1223.49   2\r\n  -3  -4  -6 1764.60 1215.52   5\r\n  -3   4   6 6805.08 1526.33   1\r\n   3  -4   6 4683.46 1200.31   2\r\n   3  -4   6 6934.57 1837.32   4\r\n   3   4  -6 5609.37 1468.29   7\r\n  -3   4   5 2904.75 615.811   6\r\n  -3   4   5 4698.35 1273.34   1\r\n  -3   4   5 3442.51 1020.76   3\r\n   3   4  -5 3660.09 1348.56   7\r\n  -3  -4  -5 5913.81 1562.45   5\r\n   3  -4   4 10579.3 1583.66   5\r\n  -3  -4  -4 12251.7 1149.50   4\r\n   3   4  -4 10517.6 1636.05   7\r\n  -3   4   4 10984.7 1651.01   1\r\n  -3   4   4 11305.9 1161.67   6\r\n  -3  -4  -4 11639.9 847.736   2\r\n  -3   4   4 10585.4 1547.00   3\r\n  -3  -4  -4 10842.6 1744.46   5\r\n   3  -4   4 12035.4 1494.16   7\r\n  -3   4   3 24432.9 2129.88   1\r\n  -3  -4  -3 24478.8 1314.53   2\r\n  -3  -4  -3 22498.2 1423.71   4\r\n   3  -4   3 23548.5 1226.96   1\r\n  -3   4   3 21838.7 1884.25   3\r\n  -3  -4  -3 22509.5 2185.82   5\r\n   3  -4   3 26497.3 2653.24   3\r\n   3  -4   3 26172.2 2532.81   6\r\n  -3  -4  -3 23801.0 1198.16   6\r\n   3   4  -3 22006.0 1998.83   7\r\n  -3   4   3 24679.0 2083.79   7\r\n   3  -4   3 24810.4 1759.74   7\r\n  -3   4   3 23540.9 1717.19   6\r\n  -3  -4  -2 6061.90 1051.67   5\r\n   3  -4   2 5389.63 662.162   1\r\n   3  -4   2 6609.64 1262.59   6\r\n  -3   4   2 6704.10 969.929   7\r\n  -3   4   2 4571.63 874.158   6\r\n  -3  -4  -2 5811.10 738.807   4\r\n  -3  -4  -2 6862.49 855.125   6\r\n   3   4  -2 5233.27 913.067   7\r\n   3  -4   2 8560.77 1308.10   3\r\n  -3  -4  -1 42663.4 1484.68   3\r\n  -3  -4  -1 43799.7 2171.81   5\r\n   3   4  -1 45029.7 1659.98   1\r\n  -3   4   1 44109.0 2420.19   6\r\n  -3  -4  -1 43399.7 2251.05   6\r\n   3  -4   1 45981.1 1945.67   1\r\n  -3  -4  -1 44353.5 2031.60   4\r\n   3  -4   1 41893.3 2144.56   3\r\n  -3   4   1 42625.6 2262.92   1\r\n   3  -4   0 74854.0 2724.72   1\r\n  -3   4   0 72075.6 3257.04   6\r\n  -3   4   0 73647.7 2576.62   1\r\n   3   4   0 72538.9 2513.99   1\r\n  -3  -4   0 72299.8 2948.49   4\r\n   3  -4   0 71427.4 3244.57   6\r\n  -3  -4   0 69900.9 2278.58   5\r\n   3  -4  -1 44234.1 2415.72   6\r\n   3   4   1 45419.5 2300.74   1\r\n   3  -4  -1 45090.6 2314.51   5\r\n  -3  -4   1 46788.9 2762.60   4\r\n  -3   4  -1 46780.1 1601.84   7\r\n   3  -4  -1 38423.6 2195.80   1\r\n   3  -4  -2 6228.31 989.755   6\r\n  -3   4  -2 6320.35 799.192   7\r\n   3   4   2 6402.57 879.460   4\r\n   3  -4  -2 5439.60 1032.31   1\r\n   3  -4  -2 7023.76 1147.59   5\r\n   3   4   2 7196.18 1043.57   5\r\n   3   4   3 24219.2 1503.73   4\r\n  -3  -4   3 23046.3 1466.98   5\r\n   3   4   3 23212.0 2116.99   1\r\n   3  -4  -3 22425.2 1707.68   2\r\n  -3   4  -3 24847.4 1852.87   7\r\n   3  -4  -3 21879.5 2137.20   5\r\n   3  -4  -4 11618.1 1979.12   5\r\n   3  -4  -4 11171.7 1307.28   2\r\n  -3  -4   4 8814.84 1600.72   2\r\n  -3   4  -4 11726.7 1561.58   7\r\n   3   4   4 11194.7 1084.89   4\r\n   3   4   4 9605.97 1609.75   1\r\n  -3  -4   4 12900.4 1346.71   5\r\n   3   4   5 6521.24 1344.54   3\r\n  -3  -4   5 4871.55 1341.66   2\r\n   3  -4  -5 5508.45 1533.02   5\r\n   3  -4  -5 5598.97 1052.50   2\r\n  -3  -4   5 3350.41 889.336   5\r\n   3   4   5 3628.60 1199.51   1\r\n  -3   4  -5 4841.37 1301.91   7\r\n   3   4   5 6137.00 887.364   4\r\n  -3  -4   6 5859.79 1511.47   2\r\n   3   4   6 6612.87 1542.04   1\r\n   3  -4  -6 5902.89 1531.00   5\r\n  -3   4  -6 4110.30 1325.27   7\r\n   3   5  -6 860.853 994.149   7\r\n  -3  -5  -6 2169.35 868.731   5\r\n   3  -5   6 1196.02 1127.28   4\r\n  -3   5   6 1064.60 1149.29   1\r\n  -3  -5  -5 2117.69 1011.07   5\r\n  -3   5   5-436.704 826.636   1\r\n   3   5  -5 2092.54 869.200   7\r\n   3  -5   4 4161.31 533.394   1\r\n  -3   5   4 4720.56 1226.55   1\r\n  -3  -5  -4 3832.24 1194.64   5\r\n  -3  -5  -4 4283.31 696.960   4\r\n  -3   5   4 3233.52 935.926   3\r\n  -3  -5  -4 3797.70 686.952   2\r\n   3   5  -4 5090.37 1131.39   7\r\n  -3   5   4 3228.41 738.484   6\r\n   3  -5   3 17050.3 2205.97   3\r\n  -3   5   3 14952.5 1243.10   3\r\n   3  -5   3 13393.3 1054.11   1\r\n  -3  -5  -3 16920.8 1307.23   4\r\n  -3   5   3 14268.2 1571.02   6\r\n  -3  -5  -3 15885.0 1265.90   6\r\n  -3   5   3 16433.7 1925.47   1\r\n  -3   5   3 15854.5 1785.50   7\r\n   3   5  -3 14520.3 1738.76   7\r\n  -3  -5  -3 14725.7 1866.73   5\r\n   3  -5   2 8760.44 941.585   1\r\n  -3   5   2 10165.0 1263.29   7\r\n  -3  -5  -2 8636.60 1364.94   5\r\n  -3   5   2 9715.72 1448.24   1\r\n  -3  -5  -2 9642.29 1044.76   4\r\n  -3  -5  -2 9832.46 1183.87   6\r\n   3  -5   2 9042.92 1458.92   3\r\n   3   5  -2 11414.4 1368.77   7\r\n  -3   5   2 11044.2 1409.79   6\r\n   3   5  -1 27649.2 1546.16   1\r\n  -3   5   1 28306.7 2053.13   1\r\n  -3   5   1 28563.4 2265.09   6\r\n   3  -5   1 26486.6 1728.65   1\r\n  -3  -5  -1 27800.1 1848.23   4\r\n   3  -5   1 25813.7 1755.82   3\r\n  -3  -5  -1 29561.3 2016.26   5\r\n   3  -5   1 32793.8 2669.97   6\r\n  -3  -5  -1 24767.7 971.043   3\r\n  -3  -5  -1 28016.3 2159.05   6\r\n  -3  -5   0 394.633 287.913   5\r\n   3   5   0 539.320 466.250   1\r\n  -3   5   0 516.422 461.388   1\r\n  -3  -5   0 1234.10 527.660   4\r\n   3  -5   0 630.699 598.642   6\r\n  -3  -5   0 566.027 530.053   6\r\n   3  -5   0 926.931 540.877   1\r\n  -3  -5   1 30318.3 2494.77   4\r\n   3  -5  -1 29933.6 2312.66   6\r\n  -3   5  -1 27855.7 1444.66   7\r\n   3  -5  -1 28817.1 1748.58   4\r\n   3   5   1 29429.5 2075.09   1\r\n  -3  -5   1 28163.3 1462.23   5\r\n   3  -5  -1 26466.9 2021.35   1\r\n   3  -5  -1 28698.3 2091.44   5\r\n   3  -5  -2 8133.99 1205.39   6\r\n  -3   5  -2 8839.48 1006.62   7\r\n   3  -5  -2 9456.98 622.674   4\r\n   3   5   2 9191.81 1404.15   1\r\n   3  -5  -2 8743.69 1401.51   5\r\n   3  -5  -3 14811.5 1493.07   2\r\n  -3  -5   3 14904.6 1242.20   5\r\n  -3   5  -3 14967.5 1547.74   7\r\n   3   5   3 16739.7 1988.10   1\r\n   3  -5  -3 14515.8 1835.19   5\r\n   3   5   3 13063.4 1352.55   4\r\n  -3  -5   4 3322.50 778.581   5\r\n   3   5   4 4212.06 776.526   4\r\n  -3   5  -4 3518.20 999.292   7\r\n   3  -5  -4 4306.94 958.206   2\r\n   3   5   4 4789.44 1289.56   1\r\n   3  -5  -4 3656.15 1245.38   5\r\n   3  -5  -5 1441.22 1018.10   5\r\n  -3   5  -5-139.068 789.705   7\r\n  -3  -5   5 1473.04 656.813   2\r\n   3   5   5 1033.61 851.982   1\r\n  -3   5  -6 366.643 560.841   7\r\n   3   5   6 1352.49 1018.92   1\r\n  -3  -5   6 1131.11 866.628   2\r\n   3   6  -5 4471.32 1381.95   7\r\n  -3   6   5 3990.15 1395.85   1\r\n  -3  -6  -5 3037.26 1308.12   5\r\n  -3   6   4 11745.5 2002.18   1\r\n  -3  -6  -4 12681.4 2202.88   5\r\n   3   6  -4 11708.5 1929.86   7\r\n  -3   6   3 2209.43 1076.76   1\r\n  -3  -6  -3 2176.79 944.070   5\r\n   3   6  -3 1012.80 809.220   7\r\n  -3  -6  -3 587.552 401.071   4\r\n   3  -6   3 1815.01 509.703   1\r\n  -3  -6  -3 1047.89 672.554   6\r\n  -3   6   2 4154.88 787.278   7\r\n  -3   6   2 3960.12 1064.23   1\r\n   3   6  -2 3440.84 879.817   7\r\n  -3  -6  -2 4160.77 756.886   4\r\n  -3  -6  -2 3009.81 997.822   5\r\n   3  -6   2 3939.34 904.656   3\r\n  -3  -6  -2 3623.47 959.518   6\r\n   3  -6   2 2895.67 603.117   1\r\n  -3  -6  -1 7174.62 1209.69   6\r\n  -3   6   1 6077.72 1149.83   1\r\n  -3  -6  -1 4277.60 939.011   4\r\n  -3  -6  -1 5550.68 1051.94   5\r\n   3  -6   1 5418.84 930.000   1\r\n   3   6  -1 5340.73 885.047   1\r\n   3   6   0 7268.71 1099.06   1\r\n  -3  -6   0 5315.83 903.234   5\r\n  -3   6   0 4739.49 941.607   1\r\n   3  -6   0 5851.68 966.068   1\r\n  -3  -6   0 5416.07 1141.14   4\r\n   3  -6  -1 5030.55 1089.60   5\r\n  -3  -6   1 5667.54 847.241   5\r\n   3   6   1 5892.31 1130.90   1\r\n  -3   6  -1 6056.59 825.277   7\r\n   3  -6  -1 6052.03 959.703   4\r\n  -3   6  -2 3253.87 696.827   7\r\n   3  -6  -2 3629.62 530.524   4\r\n   3  -6  -2 4132.80 1022.71   6\r\n   3   6   2 4326.90 1083.16   1\r\n   3  -6  -2 4323.78 1132.41   5\r\n  -3   6  -3 778.538 539.480   7\r\n   3  -6  -3 609.637 432.524   6\r\n   3  -6  -3 278.706 529.677   5\r\n   3   6   3 2319.02 1068.04   1\r\n  -3  -6   3 1593.91 605.560   5\r\n   3  -6  -4 11774.7 2053.94   5\r\n  -3   6  -4 11362.9 1635.09   7\r\n   3   6   4 11943.1 1957.69   1\r\n   3   6   5 2574.04 1439.87   1\r\n   3  -6  -5 3615.99 1398.90   5\r\n  -3   6  -5 3038.71 1096.57   7\r\n  -3  -6   5 3686.52 1304.73   2\r\n  -3  -7  -5 1781.10 1174.75   5\r\n  -3   7   5 1939.45 1057.24   1\r\n   3   7  -5 5226.34 1536.01   7\r\n  -3   7   4 341.212 801.534   1\r\n   3   7  -4 1097.95 773.642   7\r\n  -3  -7  -4 4.92400 986.776   5\r\n  -3  -7  -3 3013.67 1013.41   5\r\n  -3   7   3 358.517 720.654   1\r\n   3   7  -3 1491.53 782.138   7\r\n   3  -7   2 356.482 407.744   3\r\n  -3   7   2 113.766 551.033   7\r\n  -3  -7  -2-842.488 774.445   5\r\n  -3  -7  -2-319.967 558.894   4\r\n  -3   7   2-436.918 790.975   1\r\n   3   7  -2 146.377 702.733   7\r\n   3  -7   2 1910.09 607.844   1\r\n  -3  -7  -1 6004.82 1213.68   5\r\n   3   7  -1 6378.69 1034.76   1\r\n  -3   7   1 6134.71 1255.95   1\r\n  -3  -7  -1 6947.75 1214.88   4\r\n  -3  -7   0 1720.62 747.462   5\r\n   3   7   0 1720.78 727.211   1\r\n  -3   7   0 1797.29 755.765   1\r\n   3   7   1 6759.65 1389.79   1\r\n   3  -7  -1 4859.08 1151.66   5\r\n  -3  -7   1 6647.17 1029.76   5\r\n  -3  -7   1 6464.75 1055.57   3\r\n   3  -7  -1 6132.39 1114.50   4\r\n  -3   7  -1 7652.85 1015.53   7\r\n   3  -7  -2-923.145 658.139   5\r\n   3   7   2 660.104 702.891   1\r\n  -3   7  -2 1.93102 495.702   7\r\n  -3  -7   2-968.450 449.896   5\r\n  -3  -7   2-1701.63 933.502   3\r\n   3  -7  -3 357.972 703.156   5\r\n   3   7   3 85.0089 783.839   1\r\n  -3   7  -3 1730.29 746.910   7\r\n   3  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7\r\n   3   8   2 2738.82 1183.46   1\r\n   3  -8  -2 1661.57 1222.10   5\r\n   3  -8  -3 1852.80 1279.38   5\r\n   3   8   3-1587.85 1295.25   1\r\n   3  -8  -4-3620.07 1719.84   5\r\n   3   8   4 2571.69 1396.54   1\r\n  -3  -9  -2 1741.98 1060.12   5\r\n   3   9  -2 33.9422 708.891   7\r\n  -3  -9  -1 1146.31 792.300   5\r\n   3  -9   1 1413.23 788.139   5\r\n   3   9  -1 1511.89 678.967   7\r\n  -3   9   1 2173.67 888.583   1\r\n   3   9  -1 2432.13 663.125   1\r\n  -3  -9   0 636.596 671.009   5\r\n   3  -9   0-367.689 719.736   5\r\n   3   9   0 905.877 854.731   1\r\n   3  -9  -1 621.284 809.501   5\r\n   3   9   1 1956.55 927.149   1\r\n   3  -9  -2-1947.02 1197.95   5\r\n   3   9   2 547.607 974.635   1\r\n  -4   0   0 120503. 2190.10   2\r\n  -4   0   0 121720. 2225.35   4\r\n  -4   0   1 11594.8 727.776   4\r\n  -4   0  -1 13823.5 935.791   4\r\n  -4   0   1 11933.9 896.106   2\r\n   4   0  -1 12147.0 657.749   5\r\n  -4   0  -1 12459.3 734.858   6\r\n   4   0  -1 10863.2 804.480   7\r\n   4   0   1 12423.1 595.169   2\r\n   4   0  -1 11041.5 775.265   4\r\n   4   0   2 6202.72 936.825   3\r\n   4   0  -2 6447.52 864.435   7\r\n   4   0   2 6149.39 797.644   4\r\n  -4   0   2 6336.41 654.516   5\r\n  -4   0   2 5986.73 550.689   1\r\n  -4   0  -2 6287.96 818.270   4\r\n   4   0   2 6315.50 550.669   6\r\n  -4   0  -2 5781.70 816.484   5\r\n  -4   0  -2 7189.84 585.381   6\r\n   4   0   2 5185.86 703.023   7\r\n  -4   0   2 6372.92 802.556   2\r\n   4   0  -2 6239.54 773.190   2\r\n  -4   0   2 6232.28 695.172   4\r\n   4   0  -2 5299.90 543.688   1\r\n   4   0  -2 4978.93 634.760   5\r\n  -4   0  -3 1579.90 750.513   5\r\n   4   0   3 2082.94 710.521   3\r\n  -4   0   3 1906.14 435.417   1\r\n   4   0   3 1817.85 360.619   6\r\n  -4   0   3 2337.96 582.800   5\r\n   4   0  -3 1837.84 590.825   2\r\n   4   0   3 2053.48 645.873   4\r\n   4   0   3 2601.24 750.943   7\r\n   4   0  -3 2417.10 635.051   5\r\n   4   0  -3 1764.72 648.051   7\r\n  -4   0   3 2047.90 606.925   2\r\n  -4   0   4 26.0200 519.160   7\r\n   4   0  -4 198.352 455.800   5\r\n   4   0   4-456.663 554.109   5\r\n   4   0  -4-1087.06 733.435   7\r\n   4   0   4 264.912 742.679   7\r\n   4   0   4 1155.29 729.456   3\r\n   4   0  -4-472.092 504.675   2\r\n  -4   0   4 329.072 349.086   1\r\n  -4   0   4 152.799 541.186   5\r\n  -4   0   4-112.275 562.463   2\r\n   4   0   4 41.6828 552.887   4\r\n  -4   0  -4 507.208 622.373   5\r\n   4   0   4 64.7216 294.383   6\r\n   4   0   4-425.260 299.101   2\r\n   4   0  -5 16861.8 2023.08   5\r\n  -4   0  -5 20269.2 2337.78   5\r\n   4   0   5 17309.7 1966.76   4\r\n   4   0   5 19162.2 1276.34   6\r\n  -4   0   5 18329.8 1861.31   2\r\n  -4   0   5 20199.2 1611.57   1\r\n   4   0   5 19145.8 1182.71   2\r\n   4   0  -5 18145.4 2351.69   7\r\n   4   0  -6 15026.9 2110.01   5\r\n   4   0   6 12079.3 962.242   2\r\n  -4   0   6 13755.9 1706.68   2\r\n   4   0   6 16854.6 2144.70   4\r\n  -4   0   6 12845.0 1482.68   1\r\n   4   0  -6 18410.9 2574.71   7\r\n   4   0  -7 3463.54 1360.30   5\r\n   4   0   7 4432.67 1104.26   1\r\n   4   0  -7 4948.32 1568.13   7\r\n   4   0   7 3763.88 1327.13   4\r\n  -4   0   7 3491.86 828.511   2\r\n  -4   0   7 2465.24 1033.69   4\r\n   4  -1   7 301.635 842.708   4\r\n  -4  -1  -7-199.858 1246.07   5\r\n  -4   1   7 158.876 584.447   1\r\n   4  -1   7 270.770 537.928   1\r\n   4   1  -7-605.876 772.127   7\r\n   4   1  -7-1322.76 972.562   5\r\n  -4   1   6-737.931 721.108   1\r\n   4  -1   6 575.029 797.979   4\r\n   4   1  -6 795.348 881.841   7\r\n  -4  -1  -6-148.366 957.210   5\r\n   4   1  -6-221.007 895.483   5\r\n  -4   1   6 719.224 619.005   4\r\n  -4   1   6 281.118 462.265   2\r\n   4  -1   6-156.763 316.970   2\r\n  -4   1   5 27973.9 2120.32   1\r\n   4   1  -5 24878.1 2267.35   5\r\n   4  -1   5 24796.7 1748.03   2\r\n   4   1  -5 29177.4 2911.34   7\r\n   4  -1   5 26519.0 1928.02   6\r\n  -4   1   5 23491.1 1927.77   2\r\n   4  -1   5 26803.6 2536.40   4\r\n  -4  -1  -5 26923.9 2708.28   5\r\n   4  -1   4 42631.4 3507.04   3\r\n   4  -1   4 40546.6 2161.59   6\r\n   4  -1   4 36641.0 2645.44   4\r\n   4  -1   4 41342.1 2691.31   7\r\n  -4   1   4 40632.7 2568.18   5\r\n  -4   1   4 44354.2 2871.90   7\r\n  -4   1   4 38372.7 2187.21   1\r\n  -4   1   4 36565.6 2158.37   2\r\n   4   1  -4 40065.4 2861.74   7\r\n   4  -1   4 46250.9 2943.69   5\r\n  -4  -1  -4 35736.9 2745.64   5\r\n   4   1  -4 39451.4 2393.26   5\r\n  -4   1   3 29299.8 1674.78   1\r\n  -4  -1  -3 27284.3 1815.60   4\r\n   4  -1   3 29008.5 1666.69   6\r\n  -4   1   3 27923.3 1808.79   5\r\n   4  -1   3 31259.5 2589.76   3\r\n   4   1  -3 28906.6 1686.62   5\r\n   4  -1   3 28611.4 2079.41   4\r\n  -4   1   3 29687.2 1764.20   2\r\n   4   1  -3 29129.1 2115.15   7\r\n  -4   1   3 30007.6 2069.08   7\r\n  -4  -1  -3 29901.1 2184.52   5\r\n   4  -1   3 28250.0 2032.95   5\r\n   4  -1   3 26844.0 1837.17   7\r\n  -4  -1  -2 20005.2 1733.00   3\r\n   4  -1   2 24614.0 1390.41   6\r\n   4  -1   2 22188.0 1344.37   7\r\n  -4   1   2 20630.2 893.036   4\r\n   4  -1   2 22742.9 1842.62   3\r\n  -4  -1  -2 20246.0 1312.97   4\r\n  -4   1   2 21618.6 1321.42   2\r\n   4   1  -2 21834.6 1498.38   7\r\n   4   1  -2 22965.6 806.243   1\r\n  -4   1   2 21287.2 1235.19   1\r\n  -4  -1  -2 18605.0 1483.45   5\r\n  -4   1   2 22154.6 1429.57   7\r\n   4   1  -2 22726.0 1117.39   5\r\n  -4   1   2 21186.1 1303.96   5\r\n  -4   1   1 45943.4 1657.71   2\r\n  -4  -1  -1 45746.6 1636.44   4\r\n  -4   1   1 45581.5 1099.46   4\r\n  -4  -1  -1 43729.8 1680.36   5\r\n  -4  -1  -1 44536.6 1073.13   2\r\n   4  -1   1 42232.3 1222.57   7\r\n  -4   1   1 42727.2 1421.34   7\r\n   4   1  -1 40593.0 1587.77   7\r\n  -4   1   0 223714. 3129.53   4\r\n  -4   1   0 229252. 3703.43   6\r\n  -4  -1   0 227499. 3435.31   4\r\n  -4  -1   0 226793. 3351.98   2\r\n   4   1   0 223494. 2421.91   5\r\n   4  -1  -1 45459.6 1111.74   4\r\n  -4   1  -1 44702.8 1831.67   4\r\n   4  -1  -1 45477.7 1552.20   1\r\n  -4  -1   1 47012.5 1791.81   4\r\n   4  -1  -1 46710.9 1577.27   7\r\n  -4   1  -1 46049.1 1735.28   6\r\n  -4  -1   1 44996.1 1846.91   2\r\n   4  -1  -2 20975.2 1250.95   1\r\n   4  -1  -2 20326.8 1333.34   2\r\n  -4  -1   2 22452.3 1529.26   2\r\n  -4   1  -2 20686.4 1271.80   6\r\n  -4   1  -2 21469.3 1328.18   7\r\n   4  -1  -2 22107.1 1519.51   7\r\n   4  -1  -2 22935.5 1425.24   5\r\n   4   1   2 20849.6 1268.32   4\r\n  -4  -1   2 21742.7 1044.39   5\r\n   4   1   2 24464.8 1747.78   3\r\n   4   1   3 29618.6 2359.48   3\r\n  -4  -1   3 30195.9 1694.69   5\r\n  -4   1  -3 29784.3 1965.29   7\r\n   4  -1  -3 27315.7 2082.78   7\r\n  -4  -1   3 28782.5 1062.09   1\r\n   4  -1  -3 31712.7 1860.27   2\r\n  -4  -1   3 29310.5 1960.81   2\r\n   4   1   3 32042.3 1841.38   4\r\n   4  -1  -3 29163.8 1955.93   5\r\n  -4  -1   4 41796.9 2681.60   7\r\n   4  -1  -4 39772.4 2644.39   5\r\n  -4  -1   4 39894.0 1543.20   1\r\n  -4   1  -4 39506.1 2671.66   7\r\n   4   1   4 44873.6 2998.19   5\r\n   4  -1  -4 40798.5 2363.23   2\r\n   4   1   4 37221.6 3123.26   3\r\n   4   1   4 38112.4 2314.73   4\r\n   4  -1  -4 41959.9 2925.05   7\r\n   4   1   4 38389.6 2687.25   7\r\n  -4  -1   4 38349.5 2302.27   5\r\n  -4  -1   4 38613.9 2496.14   2\r\n  -4  -1   5 25594.3 2268.48   2\r\n  -4  -1   5 25643.8 2259.49   5\r\n   4   1   5 27182.9 2250.06   4\r\n  -4  -1   5 26818.9 1514.16   1\r\n   4  -1  -5 27839.6 2182.21   2\r\n   4  -1  -5 25919.0 2653.99   7\r\n   4  -1  -5 25019.4 2558.80   5\r\n   4  -1  -6 437.237 916.250   5\r\n  -4  -1   6-13.1583 299.755   1\r\n   4  -1  -6 950.287 945.049   7\r\n  -4  -1   6-961.778 667.066   2\r\n   4   1   6-318.184 879.044   4\r\n   4  -1  -7 3674.54 1236.41   7\r\n  -4  -1   7-1452.00 1077.64   4\r\n  -4  -1   7 641.237 647.818   2\r\n   4   1   7 367.823 724.642   1\r\n   4  -1  -7 2854.39 993.397   5\r\n   4   1   7 738.378 881.070   4\r\n  -4   2   7 4721.84 1213.08   1\r\n   4   2  -7 5104.46 1797.00   7\r\n  -4  -2  -7 5515.62 1786.70   5\r\n   4  -2   7 3460.73 1325.90   4\r\n   4  -2   6 2114.56 693.991   2\r\n  -4   2   6 1491.86 834.748   1\r\n   4  -2   6 2093.98 1050.77   4\r\n  -4  -2  -6 2510.09 1160.35   5\r\n  -4   2   6 2475.72 672.954   4\r\n  -4   2   6 1797.77 690.025   2\r\n  -4   2   6 1845.60 487.075   6\r\n   4   2  -6 3168.23 1337.41   7\r\n  -4   2   5 5958.27 989.133   2\r\n  -4   2   5 7928.33 1042.65   6\r\n   4   2  -5 7961.50 1706.05   7\r\n  -4   2   5 8643.28 982.949   4\r\n  -4   2   5 6839.55 950.084   4\r\n   4  -2   5 7241.34 1291.26   6\r\n   4  -2   5 6900.30 1217.97   2\r\n  -4  -2  -5 8243.74 1750.25   5\r\n   4  -2   5 8953.54 1770.98   4\r\n  -4   2   5 7249.12 1343.44   1\r\n   4  -2   4 377.840 523.761   5\r\n   4  -2   4 287.397 393.057   7\r\n   4   2  -4-449.296 730.225   7\r\n   4  -2   4 232.639 813.578   4\r\n  -4   2   4-337.762 577.110   1\r\n  -4   2   4 167.198 195.380   4\r\n  -4   2   4 115.993 358.325   6\r\n  -4   2   4 125.408 362.988   2\r\n  -4  -2  -4 545.371 704.709   5\r\n   4   2  -4-295.469 447.175   5\r\n  -4   2   4 338.431 266.677   4\r\n   4  -2   4-71.7502 612.802   6\r\n  -4  -2  -3 3606.18 907.635   5\r\n  -4   2   3 2885.78 774.910   7\r\n   4  -2   3 4224.76 993.331   3\r\n  -4   2   3 3817.48 842.513   5\r\n  -4   2   3 2491.93 317.567   4\r\n  -4   2   3 2516.05 623.810   2\r\n  -4  -2  -3 3006.19 635.581   4\r\n  -4  -2  -3-55.1679 875.769   3\r\n   4  -2   3 3307.75 731.185   6\r\n   4   2  -3 2397.01 786.107   7\r\n   4  -2   3 3582.50 875.141   5\r\n   4  -2   3 2843.99 698.891   7\r\n  -4   2   3 2635.05 296.866   4\r\n  -4   2   3 2603.15 627.478   6\r\n  -4   2   3 4236.70 878.387   1\r\n  -4  -2  -2 84099.7 3197.01   3\r\n   4  -2   2 82867.8 3587.06   3\r\n  -4  -2  -2 84180.5 3118.71   5\r\n  -4  -2  -2 84739.4 2548.36   4\r\n   4  -2   2 85227.8 2443.09   7\r\n  -4   2   2 81179.3 2811.55   7\r\n   4   2  -2 86328.2 2965.22   7\r\n   4  -2   2 83017.2 3031.90   6\r\n  -4   2   2 85067.2 2714.16   6\r\n  -4   2   1 69711.6 1923.12   7\r\n  -4  -2  -1 62834.8 2017.65   4\r\n  -4   2   1 65418.0 2325.33   6\r\n   4  -2   1 66946.2 1306.98   7\r\n   4   2  -1 64797.9 2271.90   7\r\n  -4  -2  -1 66763.1 2232.32   5\r\n   4  -2   1 71261.0 2582.76   3\r\n   4  -2   0 172810. 3160.03   4\r\n  -4   2   0 177062. 3870.39   6\r\n  -4  -2   0 176144. 3495.87   4\r\n  -4  -2   0 171205. 2445.26   5\r\n   4   2   0 173568. 2314.16   5\r\n   4  -2  -1 68440.7 1273.87   4\r\n   4  -2  -1 63614.3 2307.27   6\r\n  -4  -2   1 70498.8 2639.69   4\r\n  -4  -2   1 69510.9 2598.73   2\r\n  -4   2  -1 68029.3 2540.94   6\r\n   4   2   1 60068.6 2020.84   4\r\n  -4   2  -1 69282.3 1456.03   7\r\n  -4   2  -1 67152.0 2663.59   3\r\n   4  -2  -1 70027.3 2261.38   1\r\n   4   2   1 68577.7 2221.83   5\r\n   4  -2  -2 82476.4 2913.80   5\r\n   4   2   2 82680.2 2429.66   4\r\n  -4   2  -2 83166.2 2492.07   7\r\n   4  -2  -2 90776.9 2834.05   2\r\n  -4  -2   2 86905.0 1850.40   5\r\n  -4  -2   2 84694.2 3200.99   2\r\n  -4   2  -2 81554.4 3006.05   6\r\n   4  -2  -2 88177.4 2926.48   7\r\n  -4   2  -2 87067.1 3871.60   3\r\n   4  -2  -2 81383.8 2780.77   1\r\n   4  -2  -3 2145.98 728.629   7\r\n   4   2   3 3291.08 812.769   3\r\n   4  -2  -3 3105.30 717.242   2\r\n  -4  -2   3 3100.99 596.236   5\r\n   4  -2  -3 2717.06 835.579   5\r\n  -4  -2   3 1820.69 730.789   2\r\n  -4   2  -3 3010.75 752.290   7\r\n   4   2   3 3397.67 666.696   4\r\n  -4   2  -4 170.124 503.267   7\r\n  -4  -2   4 1008.31 494.016   5\r\n   4  -2  -4 544.309 401.133   2\r\n   4   2   4 177.994 473.678   4\r\n  -4  -2   4 215.785 513.606   2\r\n   4   2   4 1170.86 818.852   3\r\n   4  -2  -4-50.3433 657.973   7\r\n   4  -2  -4 697.732 529.190   5\r\n   4  -2  -5 8641.14 1668.05   5\r\n  -4  -2   5 8653.13 1364.89   5\r\n  -4   2  -5 8261.95 1537.65   7\r\n  -4  -2   5 6887.44 1427.96   2\r\n   4  -2  -5 9880.94 1182.41   2\r\n   4  -2  -5 8711.92 1681.36   7\r\n   4   2   5 7119.76 1220.19   4\r\n   4  -2  -6 415.422 928.215   5\r\n   4   2   6 2013.06 748.072   4\r\n  -4   2  -6 2967.50 1009.06   7\r\n  -4  -2   6 1482.40 799.320   2\r\n   4   2   6 1424.46 994.676   1\r\n   4  -2  -7 2759.52 1418.26   5\r\n  -4  -2   7 4307.73 1238.31   2\r\n   4   2   7 3634.10 1340.64   1\r\n  -4  -3  -7-548.118 921.731   5\r\n   4   3  -7-1151.51 1141.90   7\r\n  -4   3   7 828.919 615.094   1\r\n   4  -3   7-1215.23 1285.81   4\r\n  -4   3   6 1439.10 883.091   1\r\n   4  -3   6 1834.27 639.576   2\r\n   4  -3   6 2224.27 1364.91   4\r\n   4   3  -6 3142.70 1219.02   7\r\n  -4  -3  -6 2349.18 1151.81   5\r\n   4  -3   5 5904.98 1466.34   4\r\n  -4   3   5 4485.11 345.682   4\r\n  -4   3   5 4391.51 352.022   4\r\n   4   3  -5 5654.23 1455.22   7\r\n  -4   3   5 6470.29 1367.72   1\r\n  -4   3   5 5842.62 868.988   6\r\n  -4  -3  -5 5966.46 1400.27   5\r\n  -4  -3  -4 6287.34 976.855   4\r\n  -4  -3  -4 7064.49 1492.88   5\r\n   4  -3   4 8168.88 1204.83   7\r\n   4   3  -4 6901.30 1294.84   7\r\n   4  -3   4 6025.45 1286.76   5\r\n  -4   3   4 7458.42 974.362   6\r\n   4  -3   4 8641.42 1414.27   6\r\n  -4   3   4 8172.51 1335.73   1\r\n   4  -3   3 48778.5 3418.05   3\r\n   4  -3   3 50184.2 2961.60   6\r\n  -4   3   3 45980.0 2614.57   1\r\n  -4   3   3 47761.2 2774.97   7\r\n   4   3  -3 44774.9 2675.84   7\r\n  -4  -3  -3 44980.8 1206.68   2\r\n   4  -3   3 45311.1 2252.41   7\r\n  -4   3   3 47944.3 2294.81   6\r\n  -4  -3  -3 45190.1 2113.51   4\r\n  -4  -3  -3 43742.6 2826.60   5\r\n  -4  -3  -2 19701.2 1574.71   3\r\n   4   3  -2 23951.3 1736.78   7\r\n  -4   3   2 22706.7 1636.40   7\r\n  -4   3   2 22053.3 1588.96   6\r\n   4  -3   2 25538.1 2000.00   6\r\n  -4  -3  -2 22151.2 1385.76   4\r\n   4  -3   2 18967.9 1825.17   3\r\n   4  -3   2 21724.7 1198.25   7\r\n  -4  -3  -2 22443.8 1763.09   5\r\n  -4  -3  -2 20362.3 1085.47   6\r\n   4  -3   1 57190.2 1969.40   1\r\n  -4  -3  -1 61062.8 2237.31   4\r\n  -4   3   1 61549.2 1983.47   7\r\n  -4  -3  -1 57035.1 2296.62   5\r\n   4  -3   1 60074.1 2492.02   3\r\n   4  -3   0 15269.7 1132.22   1\r\n  -4   3   0 13857.7 1322.16   6\r\n  -4   3   0 15765.4 1044.29   3\r\n  -4  -3   0 17325.0 1305.23   4\r\n  -4  -3   0 14524.5 902.568   5\r\n   4  -3  -1 57677.2 2369.32   1\r\n  -4   3  -1 52521.9 2528.10   3\r\n   4   3   1 59203.3 2199.72   5\r\n   4  -3  -1 57307.0 2478.29   6\r\n  -4   3  -1 58544.1 2765.23   6\r\n   4   3   1 56973.3 2282.18   4\r\n   4  -3  -1 55774.5 1522.77   4\r\n  -4  -3   1 58038.2 2753.37   4\r\n  -4  -3   1 56716.2 1155.00   5\r\n  -4   3  -1 57187.7 1446.57   7\r\n   4  -3  -2 20261.1 1657.22   5\r\n   4   3   2 20344.5 1670.04   5\r\n   4   3   2 19949.4 1332.81   4\r\n  -4   3  -2 18597.0 1219.88   7\r\n   4  -3  -2 20976.3 1512.61   2\r\n  -4  -3   2 20619.2 925.613   5\r\n   4  -3  -2 22632.8 1692.88   1\r\n  -4  -3   3 41897.3 2584.96   7\r\n  -4  -3   3 49091.8 2978.60   2\r\n   4  -3  -3 44313.5 2324.66   2\r\n  -4   3  -3 47360.2 2442.21   7\r\n   4   3   3 43987.1 2771.23   5\r\n   4  -3  -3 48342.0 2843.14   5\r\n  -4  -3   3 47072.0 1895.82   5\r\n   4   3   3 50921.1 2153.14   4\r\n   4   3   4 7957.55 1022.15   4\r\n   4  -3  -4 7727.62 1096.94   2\r\n  -4   3  -4 6547.94 1203.52   7\r\n  -4  -3   4 8613.64 1081.23   5\r\n   4  -3  -4 8134.62 1370.34   5\r\n   4   3   4 7840.78 1399.20   3\r\n  -4  -3   4 7537.14 1415.87   2\r\n  -4  -3   5 6631.46 1093.44   5\r\n  -4  -3   5 3761.11 1009.71   2\r\n   4  -3  -5 5622.71 993.397   2\r\n   4   3   5 5689.95 949.435   4\r\n   4   3   5 5606.90 1264.16   1\r\n   4  -3  -5 4051.43 1253.77   5\r\n  -4   3  -5 5826.07 1380.93   7\r\n  -4  -3   6 1620.29 816.968   2\r\n   4   3   6 1859.07 991.723   1\r\n  -4   3  -6 1333.63 832.156   7\r\n   4  -3  -6 1939.22 1172.56   5\r\n   4   3   6 1017.08 664.118   4\r\n  -4  -3   7 1396.47 695.057   2\r\n   4  -3  -7 1418.84 1091.99   5\r\n   4   3   7 373.286 998.688   1\r\n  -4   4   6 3200.34 1165.84   1\r\n   4  -4   6 2396.19 1291.68   4\r\n  -4  -4  -6 5203.79 1307.36   5\r\n   4   4  -6 2931.75 1107.55   7\r\n   4  -4   6 4392.91 1145.28   2\r\n  -4   4   5 772.245 766.567   3\r\n   4  -4   5 954.301 1240.83   4\r\n   4   4  -5 1675.94 929.313   7\r\n  -4  -4  -5 300.101 854.807   5\r\n  -4   4   5 814.350 363.007   6\r\n  -4   4   5 1121.46 928.533   1\r\n  -4  -4  -4 2257.65 993.534   5\r\n  -4  -4  -4 3168.71 395.193   2\r\n  -4  -4  -4 3329.40 648.908   4\r\n   4  -4   4 1867.24 703.927   7\r\n   4   4  -4 2022.60 922.609   7\r\n  -4   4   4 3205.51 751.939   6\r\n  -4   4   4 2485.97 1028.95   1\r\n  -4  -4  -3 230.756 639.168   5\r\n  -4   4   3 1192.00 679.314   7\r\n   4   4  -3 846.113 619.642   7\r\n   4  -4   3-162.737 623.133   3\r\n   4  -4   3 898.413 799.100   6\r\n  -4  -4  -3 564.383 359.908   4\r\n  -4  -4  -3 828.915 306.021   6\r\n  -4   4   3 1039.73 587.802   6\r\n  -4   4   3 912.327 806.269   1\r\n   4  -4   3 537.854 451.874   7\r\n   4   4  -2 25087.2 1824.12   7\r\n  -4  -4  -2 23930.8 1666.00   3\r\n  -4  -4  -2 22936.7 1497.25   4\r\n   4   4  -2 21925.1 790.630   1\r\n   4  -4   2 22508.3 1372.02   1\r\n  -4   4   2 24202.6 1746.79   7\r\n  -4  -4  -2 21226.0 1407.82   6\r\n   4  -4   2 25644.3 2316.70   6\r\n   4  -4   2 22129.0 2076.35   3\r\n  -4  -4  -2 22267.5 1914.00   5\r\n  -4   4   2 21264.0 1733.05   6\r\n   4  -4   1 21361.1 1416.74   1\r\n  -4   4   1 18846.7 1259.95   7\r\n  -4   4   1 21881.9 1817.80   6\r\n  -4  -4  -1 20847.9 1558.97   5\r\n  -4  -4  -1 19944.9 1459.41   4\r\n   4   4  -1 19427.8 1135.74   1\r\n  -4   4   0 16982.5 1147.61   3\r\n   4  -4   0 14994.1 1277.94   1\r\n  -4  -4   0 15442.5 1093.54   5\r\n  -4  -4   0 16241.8 1471.04   4\r\n  -4   4   0 13803.0 1537.67   6\r\n   4  -4   0 17337.9 1690.15   6\r\n  -4   4  -1 20199.6 1917.96   6\r\n  -4  -4   1 20888.8 985.380   5\r\n   4  -4  -1 21128.7 1774.20   6\r\n   4   4   1 21240.6 1711.03   4\r\n  -4  -4   1 19923.2 1844.35   4\r\n  -4   4  -1 21755.2 1039.56   7\r\n   4  -4  -1 19445.3 1603.57   1\r\n   4   4   1 22075.3 1457.68   5\r\n  -4   4  -2 22696.4 1429.69   7\r\n   4  -4  -2 20973.6 1848.20   5\r\n   4  -4  -2 22059.8 1818.60   1\r\n   4  -4  -2 22593.7 1804.90   6\r\n   4   4   2 19993.5 1514.06   4\r\n   4  -4  -2 23599.4 1712.82   2\r\n   4   4   2 23978.3 1853.04   5\r\n   4   4   3 962.861 481.982   4\r\n   4  -4  -3 428.424 774.289   5\r\n   4  -4  -3 1202.13 540.607   2\r\n  -4  -4   3 958.333 394.786   5\r\n  -4   4  -3 760.258 471.946   7\r\n   4   4   4 3380.24 733.524   4\r\n   4  -4  -4 2316.73 708.201   2\r\n   4  -4  -4 3163.27 1168.14   5\r\n  -4  -4   4 1409.95 1010.87   2\r\n  -4   4  -4 1908.19 853.924   7\r\n   4   4   4 3605.32 1117.23   1\r\n  -4  -4   4 2841.11 674.756   5\r\n  -4  -4   5-44.5970 848.462   5\r\n  -4   4  -5 997.399 639.874   7\r\n   4   4   5 677.392 713.593   1\r\n  -4  -4   5 1411.32 834.510   2\r\n   4  -4  -5 921.764 544.499   2\r\n   4   4   5 1439.70 618.084   4\r\n   4  -4  -5 487.260 849.011   5\r\n   4  -4  -6 2455.91 1300.57   5\r\n  -4  -4   6 3149.10 1120.23   2\r\n  -4   4  -6 4027.33 1028.85   7\r\n   4   4   6 2682.27 1359.49   1\r\n  -4   5   6 1697.13 964.561   1\r\n  -4  -5  -6 3617.44 1211.28   5\r\n   4   5  -6 1102.71 768.236   7\r\n   4  -5   6 1797.46 1306.83   4\r\n  -4   5   5 2666.85 648.303   6\r\n   4   5  -5 3825.11 1225.46   7\r\n  -4  -5  -5 3134.85 1368.05   5\r\n  -4   5   4 5542.51 1409.41   1\r\n  -4  -5  -4 6151.36 1600.36   5\r\n   4   5  -4 5616.02 1392.08   7\r\n   4  -5   4 6660.95 714.711   1\r\n  -4  -5  -4 5137.59 811.004   4\r\n  -4   5   4 5586.29 1176.75   3\r\n  -4   5   4 4613.90 921.883   6\r\n  -4  -5  -4 6574.88 792.924   2\r\n  -4   5   3 15954.6 1383.68   3\r\n   4  -5   3 16363.1 2221.63   3\r\n   4  -5   3 14994.6 1174.08   1\r\n  -4  -5  -3 17978.8 1427.98   4\r\n  -4   5   3 16474.5 1803.49   7\r\n  -4   5   3 15686.9 1908.37   1\r\n  -4   5   3 13807.5 1575.51   6\r\n  -4  -5  -3 14939.0 1221.10   6\r\n   4   5  -3 17110.8 1895.58   7\r\n  -4  -5  -3 14620.8 1911.91   5\r\n   4  -5   2 18725.6 1986.84   3\r\n  -4   5   2 17757.3 1819.78   1\r\n  -4   5   2 17463.4 1617.33   7\r\n   4   5  -2 17699.7 949.774   1\r\n  -4   5   2 16349.5 1753.94   6\r\n   4  -5   2 18504.8 1426.35   1\r\n  -4  -5  -2 19183.0 1639.00   6\r\n  -4  -5  -2 17384.5 1419.80   4\r\n  -4   5   2 16130.1 766.585   3\r\n   4   5  -2 18931.9 1794.08   7\r\n  -4  -5  -2 16695.4 1814.03   5\r\n  -4  -5  -1 2511.85 449.811   3\r\n  -4  -5  -1 2538.94 750.140   5\r\n   4   5  -1 2619.11 544.496   1\r\n   4  -5   1 2552.94 631.450   1\r\n  -4  -5  -1 3234.60 754.364   4\r\n  -4   5   1 2104.75 815.095   6\r\n   4  -5   1 3274.09 1001.12   6\r\n  -4  -5  -1 3700.43 847.329   6\r\n  -4   5   1 2786.57 889.903   1\r\n   4   5   0 4201.66 818.344   1\r\n  -4  -5   0 4530.27 722.432   5\r\n   4  -5   0 6061.39 1176.46   6\r\n  -4   5   0 4339.71 1051.49   6\r\n   4  -5   0 4472.18 841.162   1\r\n  -4  -5   0 5232.68 984.316   4\r\n   4  -5  -1 3206.87 956.610   6\r\n  -4  -5   1 3340.68 567.092   5\r\n   4  -5  -1 2300.78 750.030   5\r\n  -4   5  -1 2868.05 499.621   7\r\n   4   5   1 2001.92 818.802   1\r\n   4  -5  -1 3375.51 775.085   1\r\n  -4  -5   1 3583.31 991.911   4\r\n   4  -5  -2 16283.6 1732.35   6\r\n   4  -5  -2 16377.4 758.062   4\r\n  -4   5  -2 16104.7 1296.51   7\r\n   4   5   2 16689.8 1817.45   1\r\n   4  -5  -2 16817.1 745.927   4\r\n   4  -5  -2 17155.4 1839.98   5\r\n   4   5   2 19855.4 1772.02   5\r\n   4  -5  -3 16568.7 1701.69   2\r\n  -4  -5   3 15481.5 1151.28   5\r\n  -4   5  -3 15090.6 1503.59   7\r\n   4   5   3 15239.1 1484.69   4\r\n   4   5   3 12262.9 1818.86   1\r\n   4  -5  -3 13992.6 1879.52   5\r\n  -4  -5   4 5452.77 854.618   5\r\n  -4   5  -4 5608.43 1189.40   7\r\n   4   5   4 6075.98 1413.25   1\r\n   4  -5  -4 6097.32 1050.55   2\r\n   4   5   4 6433.52 960.883   4\r\n   4  -5  -4 5472.18 1447.82   5\r\n  -4  -5   4 5182.30 1393.35   2\r\n   4  -5  -5 1573.09 914.696   5\r\n  -4   5  -5 2650.98 869.598   7\r\n  -4  -5   5 1067.91 1072.64   2\r\n   4   5   5 2549.52 1236.63   1\r\n   4  -5  -6 1011.89 1068.43   5\r\n  -4  -5   6 2764.07 1420.43   2\r\n  -4   5  -6 1929.86 1028.60   7\r\n   4   5   6 1988.06 1237.10   1\r\n  -4   6   5 1339.14 1110.74   1\r\n  -4  -6  -5 1867.66 1223.49   5\r\n   4   6  -5-50.8386 1219.09   7\r\n  -4  -6  -4 1062.74 867.187   5\r\n  -4   6   4 1181.75 962.074   1\r\n  -4   6   4 816.346 722.390   6\r\n   4   6  -4 365.091 656.687   7\r\n   4  -6   3 3035.77 617.946   1\r\n  -4  -6  -3 2404.92 947.000   5\r\n  -4  -6  -3 3681.67 801.180   4\r\n   4   6  -3 3450.40 1087.22   7\r\n  -4  -6  -3 4523.95 858.204   6\r\n  -4   6   3 3127.45 997.684   6\r\n  -4   6   3 2648.50 1035.76   1\r\n  -4  -6  -2 1009.13 808.949   5\r\n   4  -6   2 1519.43 607.903   3\r\n  -4   6   2 887.613 717.533   1\r\n   4   6  -2 805.633 697.737   7\r\n  -4  -6  -2 688.726 606.304   6\r\n   4  -6   2 987.847 341.909   1\r\n  -4   6   2 1336.38 770.524   6\r\n   4   6  -2 644.744 350.105   1\r\n  -4  -6  -2 485.216 430.799   4\r\n  -4   6   2 706.323 496.049   7\r\n   4   6  -1 24128.2 1655.52   1\r\n   4  -6   1 22063.1 1791.97   1\r\n  -4  -6  -1 25231.5 2289.33   6\r\n  -4  -6  -1 22107.3 1877.59   4\r\n  -4   6   1 22484.5 2326.77   6\r\n  -4   6   1 19880.2 1964.99   1\r\n  -4  -6  -1 19635.7 1853.54   5\r\n   4   6   0 3640.37 894.675   1\r\n  -4  -6   0 3551.57 779.368   5\r\n   4  -6   0 1933.55 700.169   1\r\n  -4  -6   0 3369.83 901.930   4\r\n   4  -6  -1 22171.6 1758.61   4\r\n  -4   6  -1 23088.4 1383.71   7\r\n   4   6   1 20984.4 1988.72   1\r\n   4  -6  -1 21433.8 2097.51   5\r\n  -4  -6   1 21205.2 1452.76   5\r\n   4  -6  -2 587.172 257.120   4\r\n   4  -6  -2 369.675 233.265   4\r\n  -4   6  -2 733.319 477.189   7\r\n   4  -6  -2 454.921 629.816   5\r\n   4   6   2 433.338 610.493   1\r\n   4  -6  -2 284.440 687.214   6\r\n  -4   6  -3 3640.28 841.078   7\r\n   4  -6  -3 3999.34 1151.11   5\r\n  -4  -6   3 2685.06 571.144   5\r\n   4   6   3 3784.75 1155.25   1\r\n   4  -6  -3 4688.77 958.923   6\r\n   4  -6  -4 1510.99 1048.23   5\r\n  -4   6  -4 1594.99 772.131   7\r\n   4   6   4 695.667 905.563   1\r\n   4  -6  -5 2389.24 899.909   5\r\n  -4  -6   5 2722.42 1180.05   2\r\n  -4   6  -5 915.290 907.101   7\r\n   4   6   5 452.337 1246.78   1\r\n  -4  -7  -5 927.384 703.877   5\r\n  -4   7   5 808.264 1159.61   1\r\n   4   7  -5 1898.06 1105.36   7\r\n  -4   7   4 5665.19 1737.38   1\r\n  -4  -7  -4 9016.86 1891.91   5\r\n   4   7  -4 5004.68 1505.32   7\r\n  -4  -7  -3 555.727 942.382   5\r\n   4   7  -3 390.661 770.117   7\r\n  -4   7   3 861.226 834.306   1\r\n  -4   7   2 5531.64 1064.52   7\r\n  -4   7   2 3488.09 1044.36   1\r\n  -4  -7  -2 5141.65 1280.25   5\r\n  -4  -7  -2 4985.49 893.691   4\r\n   4  -7   2 4989.42 869.909   1\r\n  -4  -7  -2 5400.48 1237.23   6\r\n   4   7  -2 7256.02 1345.47   7\r\n   4   7  -1 5131.02 979.895   1\r\n  -4  -7  -1 4494.04 1046.21   5\r\n  -4  -7  -1 6356.81 1123.49   4\r\n  -4   7   1 5276.30 1153.07   1\r\n  -4  -7   0 1165.12 333.622   3\r\n  -4  -7   0 1331.09 663.966   5\r\n   4   7   0 1717.33 740.619   1\r\n  -4  -7   1 4594.11 828.129   5\r\n   4  -7  -1 4232.63 1149.16   5\r\n  -4   7  -1 5602.62 816.892   7\r\n   4   7   1 5514.60 1270.23   1\r\n   4  -7  -1 6349.25 1109.24   4\r\n   4  -7  -2 5653.00 1340.54   5\r\n  -4  -7   2 5491.18 784.326   5\r\n   4   7   2 5280.83 1376.83   1\r\n  -4   7  -2 4856.66 872.801   7\r\n   4  -7  -2 3832.96 624.280   4\r\n   4   7   3 614.305 847.244   1\r\n   4  -7  -3 945.733 525.384   5\r\n  -4   7  -3 855.463 583.687   7\r\n   4   7   4 4185.54 1379.81   1\r\n   4  -7  -4 7812.23 1805.13   5\r\n  -4   7  -4 5179.88 1177.48   7\r\n   4  -7  -5 1832.20 1101.33   5\r\n   4   7   5 1229.30 955.688   1\r\n  -4  -7   5-1491.17 997.708   2\r\n  -4  -8  -4 179.774 1181.09   5\r\n   4   8  -4-225.944 1095.77   7\r\n  -4   8   4-111.113 891.438   1\r\n   4   8  -3 3078.13 1132.70   7\r\n  -4   8   3 786.928 1024.07   1\r\n  -4  -8  -3 852.154 1097.78   5\r\n  -4  -8  -2 1469.85 1041.24   5\r\n   4   8  -2 3019.30 1045.76   7\r\n  -4   8   2 2818.32 1123.09   1\r\n   4   8  -1 9198.16 1594.31   7\r\n   4   8  -1 9540.11 1350.49   1\r\n  -4   8   1 9982.33 1655.75   1\r\n  -4  -8  -1 11550.4 1652.58   5\r\n  -4  -8   0 7430.49 1269.32   5\r\n   4  -8   0 5762.74 1230.24   5\r\n   4   8   0 9303.55 1461.64   1\r\n   4  -8  -1 9251.00 1701.91   5\r\n   4   8   1 10213.6 1658.87   1\r\n  -4   8  -1 11356.2 1252.28   7\r\n  -4  -8   1 10121.2 1275.22   5\r\n   4  -8  -2 4551.02 1165.75   5\r\n   4   8   2 2217.76 1191.36   1\r\n   4   8   3 565.776 1118.60   1\r\n   4  -8  -3 2828.39 1208.03   5\r\n   4  -8  -4 1144.68 984.170   5\r\n   4   8   4 1378.20 1082.54   1\r\n  -4  -9  -2 80.0484 976.277   5\r\n  -4   9   2 1387.56 930.456   1\r\n   4   9  -2 21.3601 1005.32   7\r\n   4  -9   1 406.768 423.443   5\r\n   4   9  -1 732.133 702.314   7\r\n  -4  -9   0 705.356 428.132   5\r\n   4  -9   0 798.491 967.204   5\r\n   4   9   0 1142.91 881.077   1\r\n   4  -9  -1 1076.60 730.785   5\r\n   4   9   1 516.289 902.396   1\r\n   4  -9  -2 2258.22 937.565   5\r\n   4   9   2 994.950 781.753   1\r\n  -5   0   0-33.4739 249.397   4\r\n  -5   0   0-112.078 250.244   2\r\n  -5   0   1 59306.2 1745.66   4\r\n  -5   0  -1 55496.1 1984.09   4\r\n   5   0  -1 57929.7 1788.17   7\r\n   5   0   1 57015.5 1458.96   2\r\n  -5   0  -1 54151.1 1700.25   6\r\n  -5   0   1 53126.3 1959.24   2\r\n   5   0  -1 58345.9 1808.21   4\r\n   5   0   2 56145.2 2769.33   3\r\n   5   0  -2 47365.4 2186.84   7\r\n   5   0  -2 46363.3 1595.20   1\r\n   5   0   2 49460.6 2014.37   7\r\n  -5   0  -2 49981.3 1608.90   6\r\n  -5   0  -2 52241.0 2291.89   4\r\n  -5   0   2 52411.9 2233.11   2\r\n   5   0  -2 50690.9 2228.60   2\r\n   5   0   2 52531.0 1676.93   6\r\n   5   0  -2 46599.1 1775.18   5\r\n  -5   0   2 53676.5 1955.83   4\r\n   5   0  -3 16032.5 1373.20   5\r\n   5   0   3 15229.1 1447.12   4\r\n  -5   0   3 16366.9 1075.97   1\r\n   5   0  -3 18234.5 1552.68   2\r\n  -5   0   3 17102.0 1414.98   4\r\n   5   0   3 15459.9 989.078   6\r\n   5   0  -3 15743.6 1591.11   7\r\n   5   0   3 15862.9 1473.20   7\r\n   5   0   3 15469.5 1852.76   3\r\n  -5   0  -3 16650.9 1633.09   5\r\n   5   0  -3 14020.1 1041.41   1\r\n  -5   0   3 13267.5 1333.73   2\r\n  -5   0   3 14604.2 1237.70   5\r\n   5   0   4 5452.99 1325.75   3\r\n  -5   0   4 7998.08 1181.91   5\r\n   5   0   4 7545.09 1364.56   5\r\n  -5   0   4 8168.04 940.541   1\r\n  -5   0   4 7531.25 1303.27   7\r\n   5   0   4 7815.24 1261.57   7\r\n   5   0  -4 7805.38 1424.99   7\r\n   5   0   4 9239.09 846.601   6\r\n   5   0   4 7765.12 676.762   2\r\n   5   0  -4 9239.21 1288.10   5\r\n   5   0   4 7057.90 1178.13   4\r\n  -5   0   4 7096.56 1129.22   2\r\n  -5   0  -4 6855.84 1251.37   5\r\n   5   0  -4 8505.41 1220.35   2\r\n   5   0  -5 16194.1 1973.09   5\r\n  -5   0   5 16160.1 1458.47   1\r\n   5   0   5 15476.5 995.865   2\r\n   5   0  -5 13270.8 2272.86   7\r\n   5   0   5 17435.0 1196.35   6\r\n   5   0   5 15950.2 1911.03   4\r\n  -5   0   5 14188.1 1754.25   2\r\n   5   0  -6-925.386 711.547   5\r\n  -5   0   6-917.892 620.883   2\r\n   5   0  -6-1824.69 1193.46   7\r\n   5   0   6-69.1165 863.018   4\r\n  -5   0   6 489.738 423.854   1\r\n   5   0  -7-90.3310 1211.11   5\r\n   5   0  -7 401.311 1017.80   7\r\n   5   0   7-1491.06 982.525   4\r\n  -5   0   7 1008.76 853.104   4\r\n   5   0   7 42.4515 823.720   1\r\n  -5   0   7 543.717 347.683   2\r\n   5  -1   7 1566.37 1016.66   4\r\n  -5   1   7 3187.75 912.503   1\r\n   5   1  -7 2305.20 911.125   7\r\n  -5  -1  -7 3846.05 1478.02   5\r\n   5   1  -7 4047.17 1268.46   5\r\n   5  -1   6 1070.85 841.025   4\r\n   5   1  -6 2058.57 882.808   5\r\n   5  -1   6 90.8838 239.819   2\r\n  -5   1   6 2492.71 879.213   1\r\n  -5   1   6 1678.98 706.423   4\r\n  -5   1   6 2097.54 780.614   2\r\n   5   1  -6 1519.71 1132.30   7\r\n  -5   1   6 985.532 445.133   4\r\n  -5  -1  -6 2135.39 1247.28   5\r\n   5   1  -5 529.046 702.465   5\r\n  -5   1   5 775.709 644.541   1\r\n   5  -1   5 1008.45 510.872   2\r\n   5  -1   5 216.459 1028.03   4\r\n   5  -1   5 1567.56 658.198   6\r\n  -5   1   5 1207.52 746.768   2\r\n   5   1  -5 441.442 818.374   7\r\n  -5   1   5 574.483 532.976   4\r\n  -5  -1  -5 1531.97 1048.60   5\r\n  -5  -1  -4 7483.82 1430.18   5\r\n   5   1  -4 5935.13 973.004   5\r\n   5  -1   4 7861.07 1401.81   5\r\n  -5   1   4 6708.26 1162.86   5\r\n   5  -1   4 6835.30 1016.79   6\r\n  -5   1   4 7541.72 964.279   4\r\n   5  -1   4 8118.50 1361.85   4\r\n  -5   1   4 7030.26 1010.77   1\r\n  -5   1   4 6631.60 1257.00   7\r\n  -5   1   4 6731.34 1088.51   2\r\n   5  -1   4 6987.75 1160.08   7\r\n   5   1  -4 6174.01 1369.68   7\r\n   5   1  -3 5243.25 760.828   5\r\n   5  -1   3 6251.47 850.213   6\r\n   5  -1   3 7182.10 1335.16   3\r\n  -5  -1  -3 6573.05 999.179   4\r\n  -5   1   3 5975.03 913.117   5\r\n  -5  -1  -3 6196.80 1371.21   3\r\n  -5   1   3 6125.80 800.604   1\r\n  -5  -1  -3 6369.61 1105.48   5\r\n  -5   1   3 5620.57 655.206   4\r\n   5  -1   3 4852.87 1006.68   4\r\n   5   1  -3 5994.97 1104.88   7\r\n   5  -1   3 5248.69 897.234   7\r\n  -5   1   3 6322.96 1023.34   7\r\n  -5   1   3 4772.83 864.170   2\r\n   5  -1   2 43589.6 2553.69   3\r\n  -5  -1  -2 44882.2 2194.20   5\r\n  -5   1   2 42004.4 1963.51   7\r\n  -5  -1  -2 42304.8 1967.38   4\r\n  -5   1   2 44881.7 1385.23   4\r\n   5  -1   2 40664.2 1851.22   6\r\n   5  -1   2 43754.8 1859.77   7\r\n  -5   1   2 40740.2 1912.30   2\r\n  -5  -1  -2 43471.5 1148.70   6\r\n  -5   1   2 40897.3 1721.40   1\r\n   5   1  -2 42450.2 2091.61   7\r\n   5   1  -2 42086.5 1206.82   1\r\n   5   1  -2 44916.3 1531.23   5\r\n  -5  -1  -2 46090.2 2579.10   3\r\n   5  -1   1 267424. 4427.84   6\r\n  -5   1   1 272849. 3150.10   4\r\n  -5   1   1 267174. 3487.35   7\r\n  -5  -1  -1 274134. 3056.82   2\r\n  -5  -1  -1 254403. 4151.73   4\r\n  -5   1   1 270845. 4248.29   2\r\n   5  -1   1 269972. 3060.41   7\r\n   5   1  -1 287616. 4324.23   7\r\n  -5  -1  -1 267867. 4198.81   5\r\n   5   1   0 764951. 4953.04   5\r\n  -5   1   0 768888. 7390.80   6\r\n  -5  -1   0 705599. 6622.55   4\r\n   5  -1   0 841635. 3928.29   7\r\n  -5  -1   0 769569. 6702.99   2\r\n  -5   1   0 773285. 6334.14   4\r\n   5  -1   0 783806. 6274.54   4\r\n  -5   1  -1 273105. 4709.07   4\r\n  -5  -1   1 273939. 4445.79   4\r\n   5   1   1 276952. 3171.02   2\r\n   5  -1  -1 260206. 3726.50   7\r\n  -5  -1   1 249369. 4560.34   2\r\n   5  -1  -1 272093. 3170.40   4\r\n  -5   1  -1 279793. 4503.80   6\r\n   5  -1  -1 278011. 3990.86   1\r\n   5   1   1 256265. 4169.51   5\r\n  -5   1  -2 42364.2 1888.43   6\r\n   5   1   2 40832.5 1894.30   4\r\n   5  -1  -2 45294.1 1853.16   1\r\n   5  -1  -2 43643.6 2092.86   7\r\n  -5  -1   2 41768.3 2152.39   2\r\n   5  -1  -2 38285.2 1921.80   2\r\n  -5  -1   2 41808.7 1351.34   5\r\n   5  -1  -2 37866.4 1820.27   5\r\n   5   1   3 6345.11 927.504   4\r\n  -5  -1   3 6015.03 995.024   2\r\n   5  -1  -3 6836.81 965.859   2\r\n   5  -1  -3 5044.48 1058.88   7\r\n   5   1   3 6918.51 1172.13   3\r\n  -5  -1   3 6537.61 802.511   5\r\n   5  -1  -3 4552.59 745.727   1\r\n   5  -1  -3 5220.21 893.301   5\r\n   5  -1  -4 4739.67 1049.40   5\r\n  -5  -1   4 6484.77 1023.95   5\r\n   5   1   4 5680.87 1102.80   7\r\n   5  -1  -4 6703.87 1428.95   7\r\n   5  -1  -4 7616.06 1131.30   2\r\n   5   1   4 8055.10 1583.48   3\r\n  -5  -1   4 7004.28 1193.28   2\r\n   5   1   4 7021.79 1139.57   4\r\n   5  -1  -5 954.377 858.969   5\r\n  -5  -1   5 1485.36 796.341   5\r\n  -5  -1   5 1665.72 755.249   2\r\n   5  -1  -5 1125.73 587.053   2\r\n  -5  -1   5 1006.64 408.799   1\r\n   5  -1  -5 238.522 726.339   7\r\n   5   1   5 849.552 814.870   4\r\n   5  -1  -6 457.344 936.919   5\r\n  -5  -1   6-731.556 665.927   2\r\n   5   1   6 997.046 858.315   4\r\n   5  -1  -6 324.796 706.293   7\r\n  -5  -1   7 1564.10 784.239   2\r\n   5  -1  -7 2764.96 1302.23   5\r\n   5   1   7 4307.43 1319.63   4\r\n   5   1   7 1868.84 1174.26   1\r\n   5  -1  -7 4367.22 1402.71   7\r\n   5  -2   7 1802.94 1281.83   4\r\n  -5   2   7 1832.45 1036.75   1\r\n   5   2  -7 1122.04 1278.20   7\r\n  -5  -2  -7 2288.65 1424.96   5\r\n  -5   2   6 2804.44 740.368   4\r\n   5   2  -6 3847.83 1579.30   7\r\n  -5  -2  -6 3969.45 1413.44   5\r\n   5  -2   6 2164.22 1317.20   4\r\n  -5   2   6 2432.74 973.986   1\r\n   5  -2   6 1974.51 804.722   2\r\n  -5   2   6 2421.08 737.026   2\r\n  -5   2   6 3838.23 801.977   6\r\n  -5  -2  -5 11983.3 1923.14   5\r\n   5  -2   5 14409.6 1725.11   6\r\n  -5   2   5 14446.2 1550.09   2\r\n   5  -2   5 12923.3 2025.38   4\r\n  -5   2   5 12538.1 1411.23   6\r\n   5   2  -5 14762.7 1639.61   5\r\n  -5   2   5 14507.2 1206.49   4\r\n  -5   2   5 16231.2 1235.50   4\r\n  -5   2   5 13215.8 1668.13   1\r\n   5   2  -5 15659.5 2137.82   7\r\n  -5  -2  -4 8935.42 1474.19   5\r\n   5  -2   4 8432.19 1457.05   5\r\n  -5   2   4 9576.15 1135.72   2\r\n  -5   2   4 8687.46 763.821   4\r\n  -5   2   4 8562.08 1255.35   1\r\n   5  -2   4 10863.2 1373.78   6\r\n   5  -2   4 10085.0 1594.16   4\r\n  -5   2   4 9103.48 1127.39   6\r\n   5  -2   4 9337.64 1374.46   7\r\n  -5   2   4 8332.59 723.481   4\r\n   5   2  -4 8396.43 1095.21   5\r\n   5   2  -4 8334.48 1460.81   7\r\n  -5   2   3 33284.1 1013.08   4\r\n  -5  -2  -3 37894.8 2833.57   3\r\n   5  -2   3 32642.0 1973.33   7\r\n  -5   2   3 32063.3 1941.15   6\r\n  -5   2   3 32380.1 2019.93   1\r\n  -5   2   3 34615.1 1926.97   2\r\n   5   2  -3 34963.7 2401.87   7\r\n   5  -2   3 33681.4 2308.63   5\r\n  -5   2   3 34858.9 2270.30   7\r\n   5  -2   3 34404.8 2814.54   3\r\n   5   2  -3 34974.7 1605.03   5\r\n  -5  -2  -3 33646.2 2385.91   5\r\n   5  -2   3 33856.9 2173.23   6\r\n  -5  -2  -3 34430.2 2016.09   4\r\n   5  -2   2 24795.3 2049.78   3\r\n  -5  -2  -2 26092.1 1925.78   3\r\n  -5   2   2 22807.7 1569.49   6\r\n  -5   2   2 22832.2 1477.87   2\r\n  -5   2   2 22678.0 656.740   4\r\n  -5  -2  -2 25702.1 1540.88   4\r\n   5   2  -2 23696.1 1623.05   7\r\n   5  -2   2 24370.4 1341.99   7\r\n   5   2  -2 22537.6 646.479   1\r\n   5  -2   2 24720.7 1736.44   6\r\n  -5  -2  -2 23078.3 1723.09   5\r\n  -5  -2  -2 24088.6 808.752   2\r\n  -5   2   2 24131.8 1555.98   7\r\n  -5  -2  -1 137303. 3211.76   4\r\n   5  -2   1 132513. 1808.36   7\r\n  -5   2   1 132619. 3515.47   6\r\n  -5   2   1 134719. 2242.31   4\r\n  -5  -2  -1 137298. 2733.48   2\r\n  -5  -2  -1 131756. 3165.74   5\r\n  -5   2   1 129370. 2549.20   7\r\n  -5  -2   0 177217. 3701.55   4\r\n   5  -2   0 173739. 3282.51   4\r\n  -5  -2   0 171073. 3653.30   2\r\n  -5   2   0 170101. 4007.46   6\r\n  -5  -2   0 171401. 2467.35   5\r\n   5   2   0 172226. 2449.32   5\r\n   5  -2  -1 136296. 2080.29   4\r\n   5  -2  -1 137334. 3268.99   1\r\n  -5  -2   1 136224. 3729.51   2\r\n   5  -2  -1 134595. 2682.14   7\r\n  -5   2  -1 135900. 3710.31   6\r\n  -5  -2   1 138987. 3714.92   4\r\n   5   2   1 134845. 3203.57   4\r\n   5   2   1 139301. 3249.74   5\r\n  -5   2  -1 132748. 3855.30   3\r\n   5  -2  -2 23633.2 1557.22   7\r\n  -5   2  -2 22562.1 2130.66   3\r\n   5   2   2 24278.7 1468.59   4\r\n  -5  -2   2 25880.8 1931.61   4\r\n  -5  -2   2 24682.0 1823.40   2\r\n  -5   2  -2 24265.4 1710.60   6\r\n   5  -2  -2 22772.3 1562.39   1\r\n  -5   2  -2 21416.1 1270.64   7\r\n   5   2   2 24745.1 1775.77   5\r\n   5  -2  -2 22498.5 1581.37   5\r\n   5  -2  -2 23395.8 1554.37   2\r\n  -5  -2   2 23685.8 860.379   5\r\n   5   2   3 33209.7 1851.70   4\r\n   5  -2  -3 37480.5 2384.98   7\r\n   5  -2  -3 38535.9 2187.40   1\r\n  -5  -2   3 32511.6 2300.18   2\r\n  -5  -2   3 34423.8 1580.03   5\r\n   5  -2  -3 33504.4 2060.65   2\r\n  -5   2  -3 31499.4 1982.10   7\r\n   5  -2  -3 29346.4 2136.38   5\r\n   5   2   3 35826.6 2546.63   3\r\n   5   2   4 8651.62 1548.91   3\r\n  -5  -2   4 7752.97 1308.44   2\r\n  -5  -2   4 8564.38 1055.37   5\r\n   5  -2  -4 9211.28 1480.80   5\r\n   5   2   4 7374.57 1096.44   4\r\n   5  -2  -4 8393.66 1442.57   7\r\n   5  -2  -4 9603.80 1278.37   2\r\n  -5   2  -4 9104.54 1384.05   7\r\n   5  -2  -5 12702.5 1949.31   5\r\n   5   2   5 14374.2 1680.66   4\r\n  -5  -2   5 11679.4 1701.03   2\r\n   5  -2  -5 14637.2 1670.75   2\r\n   5  -2  -5 12820.8 1939.66   7\r\n  -5   2  -5 12872.8 1860.17   7\r\n  -5  -2   5 15423.1 1739.37   5\r\n   5  -2  -6 4393.61 1463.81   5\r\n   5   2   6 3585.73 1111.55   4\r\n  -5  -2   6 2111.34 878.633   2\r\n   5  -2  -6 3366.50 1387.55   7\r\n   5  -2  -7 1499.22 1418.75   5\r\n  -5  -2   7 2988.74 1012.46   2\r\n   5   2   7 1903.02 1043.23   4\r\n   5   2   7 873.493 1116.40   1\r\n  -5  -3  -7 3430.36 1869.77   5\r\n  -5   3   7 959.597 985.467   1\r\n   5   3  -7 2580.62 1472.86   7\r\n   5  -3   7 4544.19 1610.43   4\r\n  -5  -3  -6 4882.99 1584.32   5\r\n  -5   3   6 3573.52 1315.68   1\r\n   5  -3   6 5617.16 1196.49   2\r\n   5   3  -6 5844.27 1465.75   7\r\n   5  -3   6 4237.36 1511.41   4\r\n  -5  -3  -5 6878.38 1599.19   5\r\n  -5   3   5 6381.85 1011.49   6\r\n  -5   3   5 6495.47 1364.33   1\r\n   5  -3   5 4962.06 1543.91   4\r\n   5   3  -5 4805.44 1356.07   7\r\n  -5   3   4 4470.83 1110.07   1\r\n   5  -3   4 5691.62 1079.40   7\r\n  -5  -3  -4 4669.49 1129.81   5\r\n   5  -3   4 6513.00 1407.72   4\r\n  -5  -3  -4 6246.52 1003.86   4\r\n   5   3  -4 5086.21 1125.53   7\r\n  -5   3   4 5289.48 952.729   6\r\n   5  -3   4 6698.92 1269.28   6\r\n  -5   3   3 701.877 570.227   7\r\n  -5  -3  -3 641.360 166.032   2\r\n   5  -3   3 1824.56 773.827   3\r\n  -5   3   3 1152.09 665.787   1\r\n  -5  -3  -3 766.569 779.966   3\r\n   5   3  -3 287.643 511.889   7\r\n  -5  -3  -3 941.276 391.338   4\r\n   5  -3   3 550.744 426.964   7\r\n  -5  -3  -3 1792.07 746.205   5\r\n   5  -3   3 668.947 610.028   6\r\n  -5   3   3 1100.32 447.916   6\r\n  -5  -3  -3 861.680 174.849   2\r\n   5  -3   2 13836.3 1590.41   3\r\n  -5  -3  -2 12526.5 1356.87   3\r\n   5   3  -2 11117.6 457.181   1\r\n   5  -3   2 11430.9 895.401   7\r\n  -5  -3  -2 11478.6 1102.39   4\r\n  -5   3   2 10614.9 1120.76   7\r\n  -5   3   2 11620.7 1240.08   6\r\n   5  -3   2 11696.9 1415.23   6\r\n   5   3  -2 11917.8 1287.61   7\r\n  -5  -3  -2 10169.8 1249.64   5\r\n   5  -3   1 10601.4 1199.76   4\r\n  -5   3   1 9872.91 1162.62   6\r\n  -5  -3  -1 8772.76 963.702   4\r\n  -5   3   1 9057.97 793.697   7\r\n  -5  -3  -1 10724.7 1060.85   5\r\n   5   3   0 8541.54 1091.60   4\r\n  -5   3   0 7995.04 426.425   7\r\n   5  -3   0 7587.43 851.793   1\r\n   5   3   0 7686.79 604.120   5\r\n  -5   3   0 7769.29 1069.52   6\r\n   5  -3   0 6749.03 788.223   4\r\n  -5  -3   0 7296.56 886.264   4\r\n  -5  -3   0 8528.70 720.374   5\r\n  -5   3   0 7355.19 822.564   3\r\n  -5   3  -1 10595.4 1230.03   3\r\n   5  -3  -1 8944.90 1003.26   1\r\n  -5   3  -1 8543.13 1186.28   6\r\n   5  -3  -1 9171.94 659.149   4\r\n   5   3   1 9295.35 1044.59   4\r\n  -5  -3   1 9020.90 1145.93   4\r\n   5  -3  -1 9570.62 1144.09   6\r\n  -5   3  -1 8722.13 527.446   7\r\n   5   3   1 9870.87 965.793   5\r\n   5  -3  -2 11924.1 1276.96   1\r\n   5   3   2 11572.1 1112.80   4\r\n  -5  -3   2 12509.5 1543.66   4\r\n   5  -3  -2 11285.7 1185.02   2\r\n  -5   3  -2 10912.1 1422.67   6\r\n  -5   3  -2 7148.11 1341.10   3\r\n  -5  -3   2 11283.3 1380.12   2\r\n   5   3   2 10808.9 1234.09   5\r\n  -5  -3   2 10732.4 539.940   5\r\n   5  -3  -2 12098.0 1323.09   5\r\n  -5   3  -2 10415.7 916.596   7\r\n  -5  -3   3 816.956 388.895   5\r\n   5   3   3 470.299 596.155   5\r\n   5  -3  -3 1477.94 837.639   5\r\n   5  -3  -3 326.060 537.788   2\r\n   5  -3  -3 1078.56 598.779   1\r\n  -5  -3   3 594.916 622.756   2\r\n   5   3   3 676.261 517.641   4\r\n  -5   3  -3 514.573 488.275   7\r\n   5  -3  -4 5911.60 1251.61   5\r\n   5  -3  -4 6106.52 1048.21   2\r\n  -5  -3   4 6357.81 1215.10   2\r\n  -5  -3   4 5316.54 878.122   5\r\n  -5   3  -4 5335.92 1074.86   7\r\n   5   3   4 6198.96 981.907   4\r\n   5  -3  -5 6713.42 1464.32   5\r\n  -5  -3   5 6053.42 1102.39   5\r\n   5   3   5 5598.52 1054.66   4\r\n   5  -3  -5 6404.09 1243.83   2\r\n  -5  -3   5 5331.81 1331.03   2\r\n  -5   3  -5 6024.60 1328.06   7\r\n   5  -3  -6 5621.91 1609.01   5\r\n  -5   3  -6 4199.20 1263.25   7\r\n  -5  -3   6 4963.89 1245.90   2\r\n   5   3   6 3893.88 996.957   4\r\n   5   3   6 3321.91 1325.23   1\r\n   5  -3  -7 1958.03 1317.62   5\r\n  -5  -3   7 496.355 902.088   2\r\n   5   3   7 3555.33 1335.45   1\r\n  -5  -4  -6 185.958 909.043   5\r\n   5   4  -6 489.022 665.205   7\r\n  -5   4   6 1913.94 1136.88   1\r\n   5  -4   6 623.940 1178.89   4\r\n  -5   4   5 526.650 562.571   3\r\n   5   4  -5 1712.20 1081.61   7\r\n   5  -4   5 2319.85 1267.10   4\r\n  -5  -4  -5 3061.91 1234.94   5\r\n  -5   4   5 1691.66 612.412   6\r\n  -5   4   5 3956.88 1098.33   1\r\n   5  -4   4 9517.39 1924.30   4\r\n  -5  -4  -4 10027.2 1237.48   4\r\n  -5   4   4 10662.4 1575.53   1\r\n  -5  -4  -4 9059.33 1748.06   5\r\n   5  -4   4 9934.05 1343.55   7\r\n  -5   4   4 10460.2 1298.67   6\r\n   5   4  -4 10490.1 1703.30   7\r\n   5  -4   3 27690.3 2712.91   3\r\n  -5   4   3 29306.6 2346.28   1\r\n  -5  -4  -3 26535.7 1796.05   4\r\n   5  -4   3 28843.7 1762.44   7\r\n  -5  -4  -3 27202.4 1215.54   6\r\n  -5   4   3 27069.1 2039.45   6\r\n   5   4  -3 26233.5 2267.56   7\r\n  -5   4   3 29081.1 2293.66   7\r\n  -5  -4  -3 21480.4 2202.65   5\r\n   5  -4   2 15412.8 1778.74   3\r\n  -5  -4  -2 15044.4 1380.30   3\r\n  -5  -4  -2 15217.3 1606.43   5\r\n   5  -4   2 15080.1 1202.78   1\r\n   5  -4   2 17357.1 1882.21   6\r\n  -5  -4  -2 16578.2 1271.73   6\r\n  -5   4   2 14460.9 1540.07   6\r\n   5   4  -2 16258.3 733.890   1\r\n   5   4  -2 15412.2 1557.70   7\r\n  -5   4   2 18420.3 1534.19   7\r\n  -5  -4  -2 15626.5 1324.97   4\r\n   5  -4   1 13630.8 1193.87   1\r\n  -5  -4  -1 15274.3 1340.90   4\r\n  -5   4   1 15396.1 1586.24   6\r\n  -5   4   1 13537.8 1053.72   7\r\n   5   4  -1 12358.5 932.540   1\r\n  -5  -4  -1 13886.4 1296.10   5\r\n   5  -4   0 15563.1 1362.33   1\r\n  -5  -4   0 12758.8 996.206   5\r\n  -5   4   0 12974.1 1537.66   6\r\n  -5   4   0 15886.0 1201.49   3\r\n  -5  -4   0 15456.1 1461.09   4\r\n   5  -4  -1 12873.4 1356.56   1\r\n  -5  -4   1 15256.6 1624.08   4\r\n   5   4   1 15288.8 1518.95   4\r\n   5  -4  -1 14651.3 1005.16   4\r\n  -5   4  -1 15950.5 815.671   7\r\n  -5   4  -1 14458.7 1703.06   6\r\n  -5   4  -1 16125.0 1600.28   3\r\n  -5  -4   1 14747.7 789.286   5\r\n   5  -4  -1 16104.3 1589.23   6\r\n   5   4   1 14486.4 1237.96   5\r\n   5  -4  -2 16022.7 1492.41   2\r\n  -5   4  -2 16601.6 1162.12   7\r\n  -5  -4   2 15374.9 743.746   5\r\n  -5  -4   2 12835.7 1918.34   4\r\n   5   4   2 14752.2 1397.22   4\r\n   5  -4  -2 15269.7 1530.80   6\r\n   5  -4  -2 18535.0 1706.02   1\r\n   5   4   2 16655.5 1612.67   5\r\n   5  -4  -2 17476.8 1719.97   5\r\n   5   4   3 25879.8 1755.00   4\r\n  -5  -4   3 26204.9 1309.26   5\r\n   5  -4  -3 27407.8 2097.30   2\r\n  -5  -4   3 23918.7 2350.64   2\r\n  -5   4  -3 25634.0 1841.40   7\r\n   5  -4  -3 24080.1 2251.86   5\r\n   5  -4  -4 12867.1 1891.34   5\r\n  -5  -4   4 10532.7 1788.27   2\r\n   5  -4  -4 10692.4 1435.52   2\r\n   5   4   4 13172.8 1325.99   4\r\n  -5   4  -4 10179.4 1452.08   7\r\n  -5  -4   4 8910.64 1011.36   5\r\n   5  -4  -5 2982.59 1159.08   5\r\n   5   4   5 2700.48 772.557   4\r\n   5  -4  -5 3540.65 1011.82   2\r\n  -5  -4   5 1691.54 1009.78   2\r\n  -5   4  -5 2305.76 861.341   7\r\n   5   4   5 2355.49 1191.63   1\r\n   5  -4  -6 1962.57 1210.60   5\r\n  -5  -4   6 1339.47 1005.80   2\r\n  -5   4  -6 1204.68 999.886   7\r\n   5   4   6 1688.78 1024.35   1\r\n  -5  -5  -6 714.661 715.343   5\r\n   5  -5   6 2797.45 1373.66   4\r\n  -5   5   6 508.553 1297.38   1\r\n   5   5  -6 1518.14 1182.50   7\r\n  -5  -5  -5 1598.76 917.943   5\r\n  -5   5   5 1987.62 1115.74   1\r\n   5   5  -5 577.687 1051.59   7\r\n  -5   5   5 1899.26 527.577   6\r\n  -5  -5  -4 631.702 602.887   4\r\n   5  -5   4 1777.78 840.101   7\r\n  -5   5   4 1686.30 956.752   1\r\n   5  -5   4 1353.74 482.316   1\r\n  -5  -5  -4 1046.03 906.077   5\r\n  -5   5   4 1339.51 797.852   3\r\n  -5   5   4 826.522 547.857   6\r\n   5   5  -4 1070.83 729.919   7\r\n  -5  -5  -4 1499.47 399.728   2\r\n  -5  -5  -3 1549.36 883.921   5\r\n  -5   5   3 1519.08 733.876   7\r\n   5  -5   3 2434.00 895.494   3\r\n  -5   5   3-1115.29 656.636   3\r\n   5  -5   3 1943.37 543.970   1\r\n  -5  -5  -3 2168.45 575.459   6\r\n  -5   5   3 1358.72 1000.28   1\r\n  -5   5   3 1607.57 711.162   6\r\n   5   5  -3 615.244 696.779   7\r\n  -5  -5  -3 1720.67 592.499   4\r\n   5  -5   2 17864.6 1932.49   3\r\n  -5  -5  -2 19116.2 1504.24   3\r\n  -5  -5  -2 18872.6 1663.36   6\r\n  -5  -5  -2 16005.3 1817.81   5\r\n   5   5  -2 18540.0 990.156   1\r\n   5  -5   2 16247.6 1390.09   1\r\n  -5  -5  -2 19130.2 1589.96   4\r\n  -5   5   2 16152.0 1817.56   1\r\n   5   5  -2 16833.5 1747.83   7\r\n  -5   5   2 18997.8 1689.29   7\r\n  -5   5   2 18040.0 1891.09   6\r\n  -5   5   1 68066.3 1608.66   3\r\n   5  -5   1 69907.5 2915.37   1\r\n  -5   5   1 73483.9 3228.64   1\r\n  -5  -5  -1 73195.2 3451.68   6\r\n  -5   5   1 70953.2 3627.02   6\r\n  -5   5   1 69312.5 2545.64   7\r\n  -5  -5  -1 69130.7 3082.07   4\r\n  -5  -5  -1 72754.3 3148.54   5\r\n   5   5  -1 69533.3 2459.64   1\r\n   5  -5   0 11709.7 1363.46   1\r\n  -5  -5   0 14800.9 1587.73   4\r\n   5  -5   0 13953.6 1714.66   6\r\n  -5   5   0 8880.12 1487.58   6\r\n   5   5   0 10611.6 1203.83   1\r\n  -5  -5   0 11346.4 1110.58   5\r\n   5  -5  -1 71759.8 2556.52   4\r\n   5  -5  -1 73702.9 3668.77   6\r\n  -5  -5   1 75206.1 3827.99   4\r\n  -5   5  -1 70391.3 1922.67   7\r\n  -5   5  -1 75009.2 4007.12   6\r\n   5   5   1 72142.5 3216.25   1\r\n  -5  -5   1 67392.2 2076.46   5\r\n   5  -5  -1 70633.0 3317.19   1\r\n   5   5   2 18720.1 1737.19   5\r\n   5  -5  -2 16465.1 691.278   4\r\n   5  -5  -2 16352.8 688.353   4\r\n   5   5   2 17586.8 1720.58   4\r\n   5  -5  -2 17632.2 1835.88   6\r\n   5   5   2 19903.4 1948.27   1\r\n   5  -5  -2 15787.8 1699.48   2\r\n   5  -5  -2 18914.5 1965.53   5\r\n  -5   5  -2 17570.3 1260.78   7\r\n  -5  -5   2 18177.2 917.097   5\r\n   5  -5  -3 1691.17 888.494   5\r\n  -5   5  -3 1682.00 640.448   7\r\n  -5  -5   3 2014.71 429.083   5\r\n   5  -5  -3 1003.29 711.286   2\r\n   5   5   3 679.719 667.116   1\r\n   5   5   3 1756.07 718.105   4\r\n  -5  -5   4 2040.89 516.521   5\r\n   5  -5  -4 2316.99 1091.84   5\r\n   5   5   4 1223.50 950.757   1\r\n  -5  -5   4 1740.38 855.971   2\r\n  -5   5  -4 694.351 586.883   7\r\n   5   5   4 1866.03 668.647   4\r\n   5  -5  -4 136.139 891.152   2\r\n   5  -5  -5 1795.94 996.348   5\r\n  -5  -5   5 112.377 685.944   2\r\n   5   5   5-523.374 785.039   1\r\n  -5   5  -5 536.565 439.323   7\r\n   5   5   5 719.899 599.975   4\r\n   5  -5  -6 1466.11 1194.91   5\r\n  -5   5  -6-807.211 865.413   7\r\n  -5  -5   6 3496.08 1075.08   2\r\n   5   5   6 1008.65 1334.97   1\r\n   5  -6   5 1821.51 1252.85   4\r\n   5   6  -5 351.503 1037.53   7\r\n  -5  -6  -5 399.881 1119.52   5\r\n  -5   6   5 1814.53 980.995   1\r\n  -5  -6  -4 6088.44 1471.18   5\r\n   5   6  -4 5169.76 1375.52   7\r\n  -5   6   4 5921.05 1385.97   1\r\n  -5   6   4 4760.92 966.250   6\r\n  -5   6   3 2275.99 396.580   3\r\n  -5   6   3 2455.18 1049.46   1\r\n   5   6  -3 2104.75 927.688   7\r\n   5  -6   3 3310.49 591.789   1\r\n  -5  -6  -3 3715.09 831.582   4\r\n  -5   6   3 4179.71 1050.50   6\r\n  -5  -6  -3 2436.17 767.540   6\r\n  -5  -6  -3 4266.77 1116.24   5\r\n  -5   6   2 8907.84 1414.02   1\r\n   5  -6   2 7956.01 1080.84   1\r\n  -5  -6  -2 9090.68 1205.35   4\r\n   5   6  -2 9128.14 852.857   1\r\n  -5   6   2 7312.02 1188.70   7\r\n   5   6  -2 7375.19 1290.60   7\r\n  -5  -6  -2 8718.04 1270.19   6\r\n  -5  -6  -2 7663.70 1400.47   5\r\n  -5   6   2 7098.80 1362.02   6\r\n  -5  -6  -1 671.159 250.102   3\r\n  -5  -6  -1-47.4235 604.878   5\r\n  -5   6   1 523.250 633.770   6\r\n   5   6  -1 193.549 488.409   1\r\n  -5   6   1 615.703 727.284   1\r\n   5  -6   1 138.539 431.697   1\r\n  -5  -6  -1-794.031 620.926   6\r\n  -5  -6  -1 725.337 582.117   4\r\n  -5   6   1 423.240 425.743   7\r\n  -5   6   0 9550.70 1627.26   6\r\n  -5  -6   0 6769.39 1299.84   4\r\n   5   6   0 6196.17 1085.64   1\r\n  -5  -6   0 7802.82 1006.64   5\r\n  -5  -6   1 130.460 251.421   5\r\n   5  -6  -1 1271.74 833.958   5\r\n   5  -6  -1 667.868 518.533   4\r\n  -5   6  -1 312.464 248.542   7\r\n   5   6   1 1215.39 705.940   1\r\n   5  -6  -2 7804.53 1438.79   5\r\n   5  -6  -2 8006.39 666.716   4\r\n  -5   6  -2 7876.81 999.929   7\r\n   5   6   2 7726.93 1474.79   1\r\n   5  -6  -2 8677.05 688.038   4\r\n  -5  -6   2 8138.70 762.426   5\r\n   5  -6  -3 2830.04 1035.86   5\r\n  -5  -6   3 3648.85 577.182   5\r\n  -5   6  -3 3521.37 711.047   7\r\n   5   6   3 2736.39 1081.89   1\r\n   5  -6  -4 4195.47 1427.76   5\r\n  -5   6  -4 3582.89 1015.01   7\r\n  -5  -6   4 4041.68 1344.47   2\r\n   5   6   4 2904.59 1331.68   1\r\n   5   6   4 3881.81 1019.17   4\r\n  -5  -6   5 591.180 821.673   2\r\n  -5   6  -5 1245.97 715.041   7\r\n   5  -6  -5 911.104 1164.59   5\r\n   5   6   5 1708.87 1057.09   1\r\n  -5  -7  -5 1981.84 1345.91   5\r\n   5   7  -5 5272.43 1304.39   7\r\n   5  -7   5 2386.11 1471.11   4\r\n  -5   7   5 1021.11 1116.23   1\r\n  -5   7   4 364.712 822.281   1\r\n  -5  -7  -4 1958.68 1133.02   5\r\n   5   7  -4 1092.72 928.178   7\r\n  -5  -7  -3 1883.26 1005.45   5\r\n   5   7  -3 866.995 711.129   7\r\n  -5   7   3 2333.90 1139.71   1\r\n  -5  -7  -2-278.163 528.865   5\r\n  -5   7   2-1085.17 719.204   1\r\n   5  -7   2 102.115 266.241   1\r\n   5   7  -2 75.4463 389.180   1\r\n   5   7  -2 591.045 692.225   7\r\n  -5   7   2 2262.24 679.593   7\r\n  -5  -7  -2-386.511 763.664   6\r\n  -5  -7  -2 1341.82 477.742   4\r\n  -5  -7  -1 1613.72 796.493   5\r\n  -5   7   1 2086.63 879.306   1\r\n  -5   7   1 2191.22 615.117   7\r\n   5   7  -1 1832.15 696.358   1\r\n  -5  -7   0 3583.24 820.777   5\r\n   5   7   0 3537.30 919.660   1\r\n  -5  -7   1 2073.44 623.016   5\r\n   5   7   1 1417.02 773.349   1\r\n  -5   7  -1 2013.94 522.220   7\r\n   5  -7  -1 2335.23 916.180   5\r\n   5  -7  -1 1997.72 715.492   4\r\n   5  -7  -1 1431.40 743.828   4\r\n  -5  -7   2-329.027 342.946   5\r\n   5  -7  -2 1195.71 809.494   5\r\n  -5   7  -2 804.155 422.446   7\r\n   5  -7  -2 1007.55 293.610   4\r\n   5   7   2 316.680 770.648   1\r\n   5  -7  -3 2338.93 982.743   5\r\n  -5   7  -3 2215.23 749.481   7\r\n   5   7   3 2887.48 1315.98   1\r\n   5  -7  -4-106.324 1298.53   5\r\n  -5  -7   4 880.775 842.201   2\r\n   5   7   4 526.943 913.092   1\r\n  -5  -7   5 650.058 1120.22   2\r\n   5  -7  -5 763.588 1222.75   5\r\n   5   7   5-936.439 1322.06   1\r\n  -5  -8  -4 4519.21 1680.86   5\r\n  -5   8   4 2705.47 1395.22   1\r\n   5   8  -4 2407.21 1193.47   7\r\n  -5  -8  -3 1088.11 1064.12   5\r\n  -5   8   3 445.127 948.166   1\r\n   5   8  -3 798.903 999.635   7\r\n  -5  -8  -2 288.708 864.994   5\r\n  -5   8   2 2322.56 1057.74   1\r\n   5   8  -2 1375.02 907.356   7\r\n  -5  -8  -1 2850.66 916.001   5\r\n   5   8  -1 2081.86 725.568   1\r\n   5  -8   0 1148.36 757.403   5\r\n  -5  -8   0 379.292 405.414   5\r\n  -5   8   0 221.080 499.503   7\r\n   5   8   0 171.390 624.095   1\r\n  -5  -8   1 3327.83 826.708   5\r\n   5  -8  -1 3758.41 1274.88   5\r\n   5   8   1 3182.69 1161.39   1\r\n   5  -8  -1 4270.50 1037.19   4\r\n   5   8   2-218.277 927.136   1\r\n   5  -8  -2 200.417 1048.88   5\r\n   5  -8  -3 1729.23 853.923   5\r\n   5   8   3 195.770 747.046   1\r\n   5  -8  -4 2308.77 1464.38   5\r\n   5   8   4 3879.42 1504.45   1\r\n  -5  -8   4 4297.78 1510.68   2\r\n  -5  -9  -2-145.430 1146.88   5\r\n   5   9  -2-313.021 730.103   7\r\n  -5   9   2 1496.36 638.837   1\r\n  -5  -9  -1 1316.98 860.536   5\r\n   5   9  -1-250.912 1108.26   7\r\n   5   9   0 2003.63 1032.40   1\r\n   5  -9   0 1709.49 984.830   5\r\n   5  -9   0 1467.61 981.539   4\r\n   5  -9  -1-4.44901 608.440   5\r\n   5   9   1 147.244 657.593   1\r\n   5   9   2-427.828 761.169   1\r\n   5  -9  -2 321.451 583.531   5\r\n  -6   0   0 5371.61 636.016   2\r\n  -6   0   0 3840.96 525.545   4\r\n  -6   0   1 117199. 3086.18   2\r\n  -6   0   1 108564. 2557.15   7\r\n  -6   0  -1 117673. 3057.13   4\r\n  -6   0   1 120917. 2708.70   4\r\n   6   0  -1 118790. 2747.91   4\r\n  -6   0  -1 117910. 2245.22   2\r\n  -6   0  -1 112709. 2712.41   6\r\n   6   0   1 111694. 2300.75   2\r\n   6   0  -1 123343. 2699.57   7\r\n  -6   0   2-237.205 345.311   2\r\n   6   0  -2-54.0189 314.080   5\r\n   6   0  -2 116.797 223.122   1\r\n   6   0  -2-573.886 456.233   7\r\n  -6   0  -2 245.530 170.930   4\r\n  -6   0  -2 37.6145 228.727   6\r\n   6   0   2 119.258 157.894   2\r\n  -6   0   2-112.006 302.507   4\r\n   6   0   3 6328.36 1225.16   3\r\n   6   0  -3 3616.56 728.935   5\r\n  -6   0   3 3998.04 894.817   2\r\n  -6   0   3 4919.95 748.721   5\r\n   6   0  -3 4144.03 646.044   1\r\n  -6   0   3 5326.65 807.529   4\r\n   6   0  -3 4832.04 1017.31   7\r\n   6   0   3 4703.16 957.939   4\r\n   6   0  -3 3579.25 804.967   2\r\n   6   0   3 4429.64 607.550   6\r\n  -6   0  -3 5038.67 651.039   6\r\n   6   0   3 4776.98 838.254   7\r\n  -6   0   4 7744.55 1213.63   2\r\n   6   0   4 9961.60 1782.37   3\r\n   6   0  -4 8356.47 1488.14   7\r\n   6   0   4 8268.29 676.392   2\r\n   6   0   4 7808.70 1235.33   7\r\n   6   0   4 8643.58 1320.12   4\r\n  -6   0   4 9288.20 1240.74   4\r\n   6   0  -4 10227.2 1360.48   2\r\n   6   0  -4 9650.94 1324.09   5\r\n   6   0   4 9038.20 860.107   6\r\n  -6   0   4 9439.72 967.215   1\r\n  -6   0   4 8338.31 1164.63   5\r\n  -6   0   5 52891.1 3380.98   4\r\n   6   0   5 52362.8 1622.05   2\r\n   6   0   5 55559.4 3523.73   4\r\n  -6   0   5 49550.0 3163.39   2\r\n   6   0  -5 50341.4 3832.15   7\r\n  -6   0   5 52907.0 2484.48   1\r\n   6   0   5 54291.4 2058.25   6\r\n   6   0  -5 53541.5 3429.33   5\r\n   6   0  -6 3381.60 1096.49   5\r\n  -6   0   6 2745.67 841.819   2\r\n   6   0  -6 2320.84 1273.82   7\r\n  -6   0   6 4173.13 874.093   1\r\n   6   0   6 2246.54 945.141   4\r\n   6   0  -7 2863.60 1373.80   5\r\n  -6   0   7 1528.65 1065.38   4\r\n   6   0  -7 2779.70 1332.65   7\r\n   6   0   7 2568.26 1196.73   4\r\n  -6   0   7 2004.06 836.871   2\r\n  -6   1   7-1412.06 871.661   1\r\n   6  -1   7 878.685 1092.44   4\r\n   6   1  -7-570.715 1292.58   7\r\n  -6   1   7 230.918 305.802   2\r\n   6   1  -7-430.231 869.101   5\r\n  -6   1   6 466.940 710.863   1\r\n  -6   1   6 1577.73 757.697   4\r\n   6   1  -6 404.991 770.677   5\r\n   6  -1   6 1082.49 485.014   2\r\n  -6  -1  -6 1104.12 968.132   5\r\n   6   1  -6 1141.93 996.812   7\r\n   6  -1   6 487.207 890.633   4\r\n  -6   1   6 456.546 540.208   2\r\n   6  -1   5 3267.90 664.158   2\r\n  -6  -1  -5 3923.44 1171.89   5\r\n  -6   1   5 3634.73 925.310   1\r\n   6   1  -5 3545.91 1008.05   5\r\n   6  -1   5 5937.73 1450.59   4\r\n   6  -1   5 4973.25 881.459   6\r\n  -6   1   5 2978.21 792.630   4\r\n   6   1  -5 5461.17 1443.66   7\r\n  -6   1   5 4369.25 1071.58   2\r\n   6  -1   4 9576.73 1512.22   4\r\n  -6   1   4 9288.78 1136.02   1\r\n  -6   1   4 11063.1 1364.23   5\r\n   6  -1   4 9936.23 1354.60   7\r\n  -6   1   4 8558.35 1257.35   2\r\n  -6   1   4 8564.40 1016.65   4\r\n  -6  -1  -4 10567.5 1632.36   5\r\n   6  -1   4 9144.78 1103.37   6\r\n   6   1  -4 9321.95 1235.30   5\r\n   6   1  -4 9791.71 1672.67   7\r\n   6  -1   3 27673.9 2500.85   3\r\n  -6  -1  -3 21647.3 2327.36   3\r\n   6  -1   3 27542.2 1887.07   7\r\n   6   1  -3 29657.9 2154.79   2\r\n   6  -1   3 24608.9 1607.09   6\r\n  -6  -1  -3 26807.6 1930.09   4\r\n   6  -1   3 26712.7 2098.04   4\r\n  -6   1   3 25034.4 1362.83   4\r\n   6   1  -3 24300.3 1973.69   7\r\n  -6   1   3 27959.0 1991.69   7\r\n  -6   1   3 25285.3 1822.38   2\r\n  -6   1   3 26355.9 1577.89   1\r\n  -6  -1  -3 22960.3 1935.43   5\r\n   6   1  -3 22732.2 1470.43   5\r\n   6   1  -3 26345.2 1190.41   1\r\n  -6  -1  -2 13265.7 1574.46   3\r\n   6  -1   2 15835.3 1158.02   7\r\n  -6  -1  -2 15643.6 1307.62   4\r\n  -6   1   2 13759.2 1237.42   2\r\n  -6   1   2 15420.8 909.372   4\r\n   6   1  -2 14479.8 1300.28   7\r\n  -6  -1  -2 14174.4 822.559   6\r\n   6  -1   2 14561.6 1195.47   6\r\n   6   1  -2 14075.9 794.190   1\r\n  -6  -1  -2 15203.4 1378.11   5\r\n   6   1  -2 15602.1 921.834   5\r\n  -6   1   2 15839.0 1218.65   7\r\n   6  -1   2 16478.6 1660.58   3\r\n  -6  -1  -1 116342. 3038.87   4\r\n  -6   1   1 108569. 2268.31   4\r\n  -6   1   1 106210. 2279.07   7\r\n   6   1  -1 104603. 2838.73   7\r\n  -6  -1  -1 116370. 2263.40   2\r\n   6  -1   1 108279. 3009.51   6\r\n  -6   1   1 108789. 2926.93   2\r\n  -6   1   0 188540. 3431.28   4\r\n   6  -1   0 193163. 3396.27   4\r\n  -6  -1   0 197247. 3764.02   4\r\n  -6   1   0 199517. 3572.43   2\r\n   6   1   0 184074. 3619.07   2\r\n  -6   1   0 187716. 3998.95   6\r\n  -6  -1   0 187821. 3581.34   2\r\n  -6   1  -1 108375. 3114.98   4\r\n   6  -1  -1 115829. 2368.00   4\r\n  -6   1  -1 110600. 3023.94   6\r\n   6  -1  -1 110993. 2653.55   1\r\n   6  -1  -1 106113. 2507.74   7\r\n  -6  -1   1 118139. 3311.17   2\r\n   6   1   1 112801. 2316.80   2\r\n  -6  -1   1 115380. 3004.57   4\r\n   6   1   1 114683. 2923.17   5\r\n   6  -1  -2 14214.2 1108.83   1\r\n  -6   1  -2 16354.6 1496.32   4\r\n   6   1   2 16078.2 1293.31   4\r\n  -6  -1   2 15782.9 1311.08   4\r\n  -6   1  -2 14895.6 1204.86   6\r\n   6  -1  -2 13684.7 1248.46   7\r\n  -6  -1   2 14354.6 1374.66   2\r\n   6   1   2 14409.8 581.208   2\r\n   6  -1  -2 14340.7 1290.60   2\r\n   6  -1  -2 14402.4 1170.50   5\r\n   6  -1  -3 27193.9 2100.01   7\r\n   6  -1  -3 26153.7 1666.78   1\r\n  -6  -1   3 25198.5 1964.89   2\r\n   6   1   3 27542.1 1870.82   4\r\n   6   1   3 24049.4 2228.55   3\r\n   6   1   3 24551.6 1853.51   7\r\n  -6  -1   3 25428.5 1977.92   4\r\n  -6   1  -3 24026.4 1604.29   6\r\n   6  -1  -3 25847.0 1848.26   5\r\n   6  -1  -3 27697.6 1945.72   2\r\n  -6  -1   3 28457.5 1510.34   5\r\n   6   1   4 10506.9 1632.47   3\r\n  -6  -1   4 8541.25 1372.46   2\r\n   6   1   4 10359.1 1368.45   4\r\n   6  -1  -4 10686.3 1598.61   7\r\n   6  -1  -4 9834.11 1385.08   5\r\n   6  -1  -4 10658.9 1395.08   2\r\n  -6  -1   4 8984.60 1533.80   4\r\n  -6  -1   4 10542.2 1211.91   5\r\n   6  -1  -5 3564.43 1119.44   5\r\n  -6  -1   5 3845.16 1067.35   5\r\n  -6  -1   5 2999.54 1018.01   2\r\n   6  -1  -5 3694.00 1188.07   7\r\n   6  -1  -5 2246.77 827.561   2\r\n   6   1   5 4116.43 1169.60   4\r\n   6  -1  -6 1321.27 1020.64   5\r\n  -6  -1   6 438.855 691.020   2\r\n   6   1   6 1267.60 885.722   4\r\n   6  -1  -6 1771.89 825.476   7\r\n   6  -1  -7-123.100 673.946   5\r\n  -6  -1   7-631.832 648.018   2\r\n   6  -1  -7-2699.04 1172.31   7\r\n   6   1   7-105.855 908.608   4\r\n  -6   2   7 1923.67 887.621   1\r\n   6   2  -7 2024.22 1048.81   7\r\n   6  -2   7 276.492 1194.92   4\r\n  -6  -2  -7 1359.69 1297.14   5\r\n   6  -2   6 4868.72 1576.35   4\r\n  -6   2   6 6134.05 1293.88   1\r\n   6   2  -6 6540.80 1781.95   7\r\n  -6   2   6 4798.81 1000.83   6\r\n   6  -2   6 5673.63 1001.95   2\r\n  -6   2   6 5358.93 1098.24   2\r\n  -6  -2  -6 7466.27 1874.03   5\r\n   6   2  -5 220.286 924.496   7\r\n  -6  -2  -5 1137.37 1054.20   5\r\n  -6   2   5 1580.24 692.891   2\r\n   6  -2   5 2512.41 1215.69   4\r\n  -6   2   5 2127.31 568.238   4\r\n  -6   2   5 1458.38 415.145   4\r\n   6  -2   5 1488.03 885.105   6\r\n  -6   2   5 1644.04 852.717   1\r\n   6   2  -5 1252.17 712.451   5\r\n  -6  -2  -4-110.906 665.255   5\r\n   6  -2   4 78.7786 516.035   7\r\n   6   2  -4-711.914 436.190   5\r\n   6   2  -4 575.625 739.925   7\r\n  -6   2   4-196.045 716.161   1\r\n   6  -2   4-1219.10 704.484   6\r\n  -6  -2  -4 373.525 394.731   4\r\n  -6   2   4 413.125 626.846   2\r\n  -6   2   4 556.553 234.166   4\r\n   6  -2   4-3.17263 777.239   4\r\n   6  -2   3 4150.99 970.653   3\r\n   6  -2   3 4557.70 865.098   7\r\n  -6  -2  -3 3351.18 665.061   4\r\n  -6  -2  -3 5549.26 1294.93   3\r\n  -6   2   3 3865.24 843.317   1\r\n   6  -2   3 5550.43 1057.25   5\r\n  -6   2   3 4209.09 409.591   4\r\n  -6   2   3 4265.80 878.619   7\r\n   6   2  -3 5596.12 1029.06   7\r\n  -6  -2  -3 2813.21 841.983   5\r\n   6  -2   3 4466.10 952.211   6\r\n  -6   2   3 3805.72 789.274   2\r\n  -6   2   3 3408.40 773.243   6\r\n   6   2  -3 3762.15 602.143   5\r\n   6  -2   2 35635.7 2451.17   3\r\n  -6  -2  -2 31134.3 2199.85   3\r\n  -6   2   2 31360.9 1818.45   2\r\n  -6  -2  -2 33182.1 1869.50   4\r\n  -6   2   2 31829.3 985.345   4\r\n   6  -2   2 32437.5 1529.46   7\r\n  -6   2   2 29579.4 1744.87   1\r\n   6   2  -2 35992.4 2074.53   7\r\n   6  -2   2 35028.2 2111.16   6\r\n  -6   2   2 31104.6 1928.96   6\r\n  -6  -2  -2 33697.1 1034.09   2\r\n  -6  -2  -2 31742.1 1997.47   5\r\n  -6   2   2 32502.6 1775.42   7\r\n  -6  -2  -1 62444.5 2324.62   4\r\n  -6  -2  -1 63550.9 1990.06   2\r\n  -6   2   1 66054.1 2664.20   6\r\n  -6   2   1 65160.8 1769.23   4\r\n   6  -2   1 66158.1 1297.48   7\r\n  -6   2   1 63141.8 1760.71   7\r\n  -6  -2  -1 64828.8 2292.52   5\r\n  -6  -2   0 150886. 3589.39   2\r\n  -6   2   0 151486. 3373.90   4\r\n   6  -2   0 151459. 3253.41   4\r\n  -6  -2   0 156449. 3676.65   4\r\n  -6   2   0 160126. 4099.64   6\r\n   6   2   0 159786. 2537.96   5\r\n  -6  -2   0 160895. 2478.46   5\r\n  -6   2  -1 64363.6 2839.31   3\r\n  -6  -2   1 65880.9 2630.36   4\r\n  -6  -2   1 63815.5 2685.44   2\r\n   6  -2  -1 58924.2 2253.31   1\r\n   6  -2  -1 61015.4 1617.06   4\r\n   6   2   1 58738.0 2296.35   4\r\n  -6   2  -1 52842.8 2440.22   6\r\n   6  -2  -1 59519.4 1855.47   7\r\n   6   2   1 63584.6 2290.03   5\r\n  -6   2  -2 35118.1 2613.38   3\r\n   6  -2  -2 35645.0 1967.90   1\r\n   6  -2  -2 29146.3 1780.20   7\r\n   6  -2  -2 29766.8 1887.31   2\r\n   6   2   2 31751.2 1784.12   4\r\n  -6   2  -2 32614.4 2033.19   6\r\n  -6  -2   2 35433.8 2250.65   2\r\n  -6  -2   2 33018.6 2200.89   4\r\n   6   2   2 34799.7 2149.75   5\r\n   6  -2  -2 34064.8 1948.92   5\r\n   6   2   3 4877.06 1021.17   5\r\n   6  -2  -3 4387.94 868.351   2\r\n   6  -2  -3 2606.37 846.562   5\r\n  -6  -2   3 1886.13 885.823   4\r\n  -6  -2   3 4079.31 980.708   2\r\n   6  -2  -3 3962.67 865.558   7\r\n   6   2   3 3093.01 727.314   4\r\n   6  -2  -3 4729.93 820.880   1\r\n  -6   2  -3 3571.41 1221.56   3\r\n  -6  -2   3 4827.80 634.715   5\r\n   6   2   4-661.084 640.484   3\r\n   6  -2  -4-306.369 815.796   7\r\n   6  -2  -4 165.325 667.576   5\r\n  -6  -2   4 368.794 485.116   5\r\n   6  -2  -4 428.156 515.788   2\r\n  -6  -2   4-61.1772 577.519   2\r\n   6   2   4 261.378 579.466   4\r\n   6  -2  -5 1093.62 901.463   5\r\n  -6  -2   5 1058.82 744.583   5\r\n  -6  -2   5 1260.39 769.125   2\r\n   6  -2  -5 2216.19 1074.38   7\r\n   6  -2  -5 2791.43 864.695   2\r\n   6   2   5 1693.20 860.384   4\r\n   6  -2  -6 3446.89 1271.51   5\r\n   6  -2  -6 3555.26 1596.96   7\r\n  -6  -2   6 5561.46 1291.65   2\r\n   6   2   6 4311.94 1166.97   4\r\n   6  -2  -7-793.829 983.227   5\r\n  -6  -2   7 721.499 684.652   2\r\n   6   2   7 1927.90 1112.49   4\r\n   6   2   7 782.154 1147.75   1\r\n  -6   3   7 592.229 997.317   1\r\n   6  -3   7 576.846 1298.79   4\r\n   6   3  -7 427.332 932.940   7\r\n  -6  -3  -7-3132.16 1666.62   5\r\n   6   3  -6 1410.37 946.095   7\r\n  -6   3   6-2166.47 1190.88   1\r\n   6  -3   6 906.316 1175.17   4\r\n  -6  -3  -6-1813.52 1099.33   5\r\n   6  -3   6 694.876 494.072   2\r\n  -6  -3  -5 3102.87 1209.08   5\r\n  -6   3   5 3571.84 933.900   6\r\n  -6   3   5 3920.21 1179.87   1\r\n   6  -3   5 4300.02 1403.14   4\r\n   6   3  -5 4469.02 1256.10   7\r\n  -6  -3  -4-1103.96 812.534   5\r\n   6  -3   4-82.4357 974.651   4\r\n  -6   3   4 12.9295 568.049   6\r\n  -6  -3  -4 150.879 176.514   4\r\n   6  -3   4 534.812 628.420   7\r\n   6  -3   4-52.4258 629.974   6\r\n   6   3  -4 241.137 747.716   7\r\n  -6   3   4-12.8068 587.025   1\r\n   6  -3   3 26892.4 2595.14   3\r\n  -6  -3  -3 24548.2 2363.15   3\r\n   6   3  -3 25140.1 2159.69   7\r\n   6  -3   3 28338.7 2469.52   4\r\n  -6  -3  -3 25448.6 1841.34   4\r\n  -6   3   3 25091.2 1967.05   1\r\n  -6   3   3 25618.9 2046.19   7\r\n   6  -3   3 25230.1 1677.70   7\r\n  -6   3   3 23399.1 1858.20   6\r\n   6  -3   3 28305.8 2306.78   6\r\n  -6  -3  -3 27934.3 2307.67   5\r\n   6   3  -2 21451.6 1704.00   7\r\n   6  -3   2 20296.6 1911.35   3\r\n  -6  -3  -2 20087.4 1741.61   3\r\n  -6   3   2 18351.4 1405.73   7\r\n  -6   3   2 18332.2 1609.76   6\r\n  -6  -3  -2 20250.4 1152.35   2\r\n  -6  -3  -2 20851.9 1535.50   4\r\n   6  -3   2 24065.5 2018.49   6\r\n  -6  -3  -2 19599.1 1737.86   5\r\n   6  -3   2 20849.5 1117.82   7\r\n   6  -3   1 17768.1 1550.14   4\r\n  -6   3   1 16877.8 1533.06   6\r\n  -6  -3  -1 17120.8 1348.30   4\r\n  -6   3   1 16993.2 998.922   7\r\n  -6  -3  -1 16401.3 1291.03   5\r\n   6  -3   0 2393.07 506.407   1\r\n  -6  -3   0 2874.51 458.037   5\r\n   6  -3   0 2801.26 576.490   4\r\n  -6   3   0 2381.44 706.686   6\r\n  -6  -3   0 2281.65 620.626   4\r\n  -6  -3   0 2742.77 684.964   2\r\n   6   3   0 2286.03 760.733   4\r\n   6   3   0 3316.20 422.712   5\r\n  -6   3  -1 17703.0 1609.63   3\r\n  -6   3  -1 14739.8 1534.26   6\r\n   6  -3  -1 17350.5 1416.63   1\r\n   6  -3  -1 16806.6 941.080   4\r\n   6  -3  -1 14182.6 1446.80   6\r\n  -6  -3   1 15093.9 1480.32   4\r\n  -6  -3   1 15693.1 1553.62   2\r\n   6   3   1 16696.4 1397.85   4\r\n   6   3   1 16508.4 1235.38   5\r\n   6  -3  -2 19500.3 1636.19   1\r\n  -6   3  -2 20471.4 2109.81   3\r\n   6  -3  -2 20472.5 1643.79   2\r\n  -6  -3   2 21698.7 1917.65   2\r\n  -6   3  -2 17225.5 1727.81   6\r\n  -6   3  -2 18561.1 1153.59   7\r\n  -6  -3   2 20652.3 1890.10   4\r\n   6   3   2 19907.4 1706.54   5\r\n   6   3   2 20752.6 1496.08   4\r\n   6  -3  -2 19646.7 1666.13   5\r\n   6   3   3 23093.9 1689.29   4\r\n  -6   3  -3 24451.7 1722.23   7\r\n   6  -3  -3 23572.8 2072.13   5\r\n  -6  -3   3 25818.8 2352.36   2\r\n  -6  -3   3 26526.9 2428.83   4\r\n   6  -3  -3 23534.7 1879.53   2\r\n   6  -3  -3 22844.8 1928.44   1\r\n  -6  -3   3 25385.7 1170.09   5\r\n   6   3   3 28685.9 2284.92   5\r\n  -6  -3   4-246.730 649.326   2\r\n   6  -3  -4 358.532 674.442   5\r\n  -6  -3   4 474.851 455.421   5\r\n   6  -3  -4-19.5367 446.280   2\r\n   6   3   4 400.229 539.268   4\r\n  -6   3  -4 304.964 553.339   7\r\n  -6  -3   5 3789.59 886.301   5\r\n   6  -3  -5 2270.93 1058.79   2\r\n  -6  -3   5 3607.24 1338.96   2\r\n   6  -3  -5 4366.57 1297.78   5\r\n   6   3   5 2800.81 884.971   4\r\n  -6   3  -5 5619.87 1428.15   7\r\n   6  -3  -6 1336.22 908.537   5\r\n  -6  -3   6-112.608 787.423   2\r\n   6   3   6-114.982 656.800   4\r\n  -6  -3   7-19.3460 1063.85   2\r\n   6   3   7-66.0954 859.830   1\r\n   6  -4   6 256.263 1268.72   4\r\n  -6   4   6 393.180 1077.93   1\r\n  -6  -4  -6 16.0508 1090.57   5\r\n   6   4  -6 1758.69 1007.16   7\r\n  -6  -4  -5 616.151 790.897   5\r\n  -6   4   5 1375.79 853.460   1\r\n  -6   4   5 2427.42 619.109   6\r\n   6   4  -5 1570.79 912.866   7\r\n   6  -4   5 2759.36 1249.11   4\r\n  -6  -4  -4 1735.97 916.549   5\r\n   6   4  -4 3701.66 1164.40   7\r\n  -6  -4  -4 2694.56 853.914   4\r\n  -6   4   4 1906.20 1041.66   1\r\n   6  -4   4 4514.29 1007.48   7\r\n   6  -4   4 4264.80 1417.22   4\r\n  -6   4   4 2466.53 891.588   6\r\n  -6  -4  -3 629.135 716.680   3\r\n  -6  -4  -3 589.602 591.555   5\r\n   6  -4   3 441.908 555.979   3\r\n  -6   4   3 133.896 464.515   6\r\n   6  -4   3 795.994 479.610   7\r\n   6  -4   3-37.4288 703.692   4\r\n  -6   4   3 876.707 504.820   7\r\n   6   4  -3 558.411 662.214   7\r\n  -6   4   3 521.432 696.030   1\r\n  -6  -4  -3 229.206 220.677   6\r\n  -6  -4  -3 386.858 461.906   4\r\n  -6  -4  -2 4254.74 996.849   5\r\n  -6   4   2 6103.96 894.889   7\r\n  -6  -4  -2 4946.30 980.848   3\r\n   6  -4   2 5479.25 1159.72   4\r\n   6   4  -2 5787.04 1108.61   7\r\n  -6  -4  -2 5382.56 866.074   4\r\n   6  -4   2 4610.24 1115.68   6\r\n  -6   4   2 5766.47 1073.96   6\r\n   6  -4   2 5501.90 774.511   1\r\n   6   4  -2 4930.84 465.872   1\r\n   6  -4   2 4387.47 1006.56   3\r\n   6  -4   1 27649.9 2096.05   4\r\n   6  -4   1 26092.2 1696.69   1\r\n  -6  -4  -1 31096.8 1979.87   4\r\n  -6   4   1 28923.3 1472.53   7\r\n  -6   4   1 27894.6 2142.05   6\r\n  -6  -4  -1 26545.6 1767.36   5\r\n  -6   4   0 6084.46 843.968   3\r\n   6  -4   0 7104.17 1000.37   1\r\n  -6   4   0 6977.78 485.044   7\r\n   6  -4   0 6339.30 909.667   4\r\n  -6   4   0 6291.27 1121.16   6\r\n  -6  -4   0 6127.84 974.746   4\r\n  -6  -4   0 7047.67 757.418   5\r\n   6  -4  -1 27378.3 1939.58   1\r\n  -6   4  -1 28103.1 905.373   7\r\n   6  -4  -1 29231.1 1419.17   4\r\n   6  -4  -1 28670.2 2165.95   6\r\n  -6  -4   1 27570.3 971.902   5\r\n  -6   4  -1 31320.7 2428.19   6\r\n   6   4   1 29280.4 2093.12   4\r\n  -6  -4   1 27819.9 2180.04   4\r\n  -6   4  -1 31705.4 2233.44   3\r\n   6   4   1 30809.7 1754.89   5\r\n   6   4   2 5933.81 983.339   5\r\n   6  -4  -2 4968.64 1040.31   5\r\n   6  -4  -2 6882.70 1144.63   1\r\n  -6   4  -2 6749.06 748.582   7\r\n  -6   4  -2 5280.32 1149.71   6\r\n  -6  -4   2 6278.90 1265.11   2\r\n   6  -4  -2 5696.36 991.539   2\r\n   6   4   2 4714.88 867.533   4\r\n  -6  -4   2 5808.00 1204.70   4\r\n  -6   4  -3 687.631 479.317   7\r\n  -6  -4   3 650.268 267.043   5\r\n   6  -4  -3 93.0072 610.931   5\r\n   6   4   3 843.274 570.765   4\r\n   6  -4  -3 723.326 465.301   2\r\n  -6  -4   3 832.229 739.075   2\r\n   6  -4  -4 2845.67 838.316   2\r\n  -6  -4   4 4010.16 673.455   5\r\n   6  -4  -4 3247.66 1227.11   5\r\n   6   4   4 4363.55 963.124   4\r\n  -6   4  -4 3561.81 911.593   7\r\n  -6  -4   4 3404.93 1130.63   2\r\n   6  -4  -5 537.544 718.483   5\r\n   6   4   5 1528.22 593.729   4\r\n  -6  -4   5 268.885 592.629   2\r\n  -6   4  -5 1221.10 844.255   7\r\n   6  -4  -6 184.710 1088.93   5\r\n  -6   4  -6 1852.80 1181.61   7\r\n   6   4   6-536.329 1320.89   1\r\n  -6  -4   6 1508.89 900.126   2\r\n   6   5  -6 5465.60 1462.09   7\r\n   6  -5   6 2724.15 1848.99   4\r\n  -6   5   6 1731.53 1337.80   1\r\n  -6  -5  -6 4029.66 1394.98   5\r\n   6   5  -5 432.382 414.506   7\r\n  -6   5   5 1220.00 742.095   1\r\n  -6   5   5 1677.38 562.892   6\r\n   6  -5   5 623.864 1152.62   4\r\n   6  -5   4 3275.12 1001.84   7\r\n   6  -5   4 4840.97 752.631   1\r\n  -6  -5  -4 4724.17 568.373   2\r\n  -6   5   4 4916.67 1328.61   1\r\n   6   5  -4 5564.30 1402.53   7\r\n  -6  -5  -4 4713.71 1455.01   5\r\n   6  -5   4 4916.35 1453.00   4\r\n  -6   5   4 4481.61 956.767   6\r\n  -6  -5  -4 4012.49 821.649   4\r\n  -6  -5  -3 1101.27 804.528   5\r\n  -6  -5  -3-1241.24 877.324   3\r\n  -6  -5  -3 1305.51 586.866   4\r\n  -6  -5  -3 1733.82 534.561   6\r\n  -6   5   3 1664.66 764.522   6\r\n   6   5  -3 2257.02 876.021   7\r\n  -6   5   3 1409.56 674.516   7\r\n  -6   5   3 2553.09 974.773   1\r\n   6  -5   3 1427.28 437.602   1\r\n  -6  -5  -2 9329.32 1178.19   3\r\n  -6  -5  -2 8396.48 1349.46   5\r\n   6   5  -2 9811.54 759.047   1\r\n   6  -5   2 9286.84 1127.31   1\r\n  -6  -5  -2 8811.32 1172.38   4\r\n  -6   5   2 9830.88 1406.79   1\r\n   6   5  -2 10631.0 1471.59   7\r\n  -6  -5  -2 9262.59 1222.46   6\r\n  -6   5   2 10749.0 1294.26   7\r\n  -6   5   2 8666.06 1355.98   6\r\n  -6   5   1 8330.91 765.837   3\r\n  -6   5   1 7919.24 1224.21   1\r\n   6  -5   1 8298.26 1143.11   1\r\n  -6  -5  -1 8646.31 1164.00   4\r\n  -6   5   1 7779.33 1401.99   6\r\n  -6  -5  -1 7225.63 1109.75   5\r\n  -6   5   1 6731.98 848.157   7\r\n   6   5  -1 8876.61 989.467   1\r\n   6  -5   0 9651.41 1220.40   1\r\n  -6   5   0 9431.57 1561.00   6\r\n   6  -5   0 10433.6 1314.04   4\r\n  -6   5   0 9782.33 1068.01   3\r\n  -6  -5   0 10571.2 1346.54   4\r\n   6  -5   0 8562.84 1469.59   6\r\n  -6  -5   0 8830.92 1008.69   5\r\n   6  -5  -1 8734.55 1269.40   1\r\n   6  -5  -1 7357.81 900.958   4\r\n   6  -5  -1 8118.88 1321.87   6\r\n  -6   5  -1 7743.56 609.462   7\r\n  -6   5  -1 8505.50 1470.81   6\r\n  -6  -5   1 7424.62 1366.16   4\r\n  -6  -5   1 7294.93 722.626   5\r\n   6  -5  -2 9569.31 1530.38   5\r\n   6  -5  -2 8905.72 504.112   4\r\n  -6   5  -2 9482.81 881.961   7\r\n   6  -5  -2 9636.25 545.652   4\r\n   6   5   2 10692.5 1445.31   4\r\n  -6  -5   2 8637.48 524.990   5\r\n   6  -5  -2 11443.3 1422.02   2\r\n   6  -5  -2 8578.35 1351.77   6\r\n  -6  -5   2 9732.75 551.929   5\r\n   6   5   2 9994.80 1336.20   5\r\n  -6  -5   3 1118.39 258.794   5\r\n   6  -5  -3 2234.15 899.000   5\r\n   6   5   3 1733.49 694.355   4\r\n  -6  -5   3 1665.67 926.019   2\r\n  -6   5  -3 1286.38 654.194   7\r\n   6  -5  -4 5153.52 1464.85   5\r\n   6   5   4 4988.55 953.834   4\r\n  -6   5  -4 4729.74 1023.40   7\r\n  -6  -5   4 4978.10 1410.97   2\r\n   6   5   4 6195.11 1485.32   1\r\n   6  -5  -5-483.702 870.638   5\r\n   6   5   5 45.3204 843.531   1\r\n  -6   5  -5 779.385 575.885   7\r\n  -6  -5   5 490.516 578.236   2\r\n   6   5   5 373.807 483.810   4\r\n   6  -5  -6 2517.10 1556.22   5\r\n  -6  -5   6 1876.47 1261.91   2\r\n  -6   5  -6 2141.88 1235.99   7\r\n   6   5   6 2415.81 1244.22   1\r\n  -6  -6  -5-861.705 959.490   5\r\n   6  -6   5 2201.66 1360.34   4\r\n  -6   6   5 2264.72 1137.07   1\r\n   6   6  -5 244.612 1195.11   7\r\n  -6  -6  -4 1491.72 894.441   5\r\n   6   6  -4-380.005 819.598   7\r\n   6  -6   4 968.880 876.275   4\r\n  -6   6   4 536.878 922.544   1\r\n  -6   6   4 2567.15 840.609   6\r\n  -6  -6  -3 714.489 771.774   5\r\n  -6   6   3 1079.89 738.432   1\r\n  -6  -6  -3 1781.86 603.786   4\r\n   6  -6   3 722.370 420.875   1\r\n   6   6  -3 898.877 709.979   7\r\n  -6  -6  -3 1083.30 551.065   6\r\n  -6   6   3 452.897 495.290   6\r\n  -6   6   3 1871.48 733.230   7\r\n  -6  -6  -2 8819.83 1035.12   3\r\n  -6  -6  -2 8480.00 1431.11   5\r\n   6  -6   2 8141.02 1107.03   1\r\n   6   6  -2 9400.41 863.602   1\r\n  -6  -6  -2 8817.80 1244.62   4\r\n  -6   6   2 8620.28 1512.72   6\r\n  -6   6   2 7473.44 1303.77   1\r\n   6   6  -2 9329.21 1480.13   7\r\n  -6   6   2 8720.65 1263.40   7\r\n  -6  -6  -2 8546.39 1314.69   6\r\n   6   6  -1 1225.87 554.644   1\r\n  -6  -6  -1 689.600 608.331   5\r\n   6  -6   1 438.795 344.346   1\r\n  -6   6   1 979.199 475.276   7\r\n  -6   6   1 629.165 557.079   6\r\n  -6  -6  -1 2108.21 641.081   4\r\n  -6   6   1 417.547 603.740   1\r\n  -6  -6  -1 1053.24 587.600   6\r\n  -6  -6   0 1649.18 564.815   5\r\n   6  -6   0 2530.96 854.211   4\r\n  -6   6   0 3112.10 1041.45   6\r\n   6   6   0 1875.45 692.875   1\r\n  -6  -6   1 1286.85 475.699   5\r\n  -6   6  -1 848.950 330.716   7\r\n   6  -6  -1 1239.17 514.379   4\r\n   6   6   1 1313.74 873.561   1\r\n   6  -6  -2 8897.65 1519.76   5\r\n  -6   6  -2 10101.2 983.867   7\r\n   6  -6  -2 8331.65 647.050   4\r\n   6  -6  -2 9835.07 708.670   4\r\n   6   6   2 9903.72 1650.96   1\r\n  -6  -6   2 8474.36 696.520   5\r\n  -6  -6   3 726.064 227.607   5\r\n   6  -6  -3 1558.62 839.106   5\r\n  -6  -6   3 835.267 215.861   5\r\n  -6   6  -3 886.565 546.352   7\r\n   6   6   3 786.783 785.165   1\r\n   6   6   3 953.208 784.341   4\r\n   6  -6  -4 1860.68 988.529   5\r\n  -6   6  -4 1488.50 572.471   7\r\n  -6  -6   4 1384.35 706.894   2\r\n   6   6   4 1205.07 1116.27   1\r\n   6   6   4 836.433 707.329   4\r\n   6  -6  -5-844.370 1030.51   5\r\n  -6  -6   5 387.897 1039.60   2\r\n  -6   6  -5 346.442 498.533   7\r\n   6   6   5-830.449 1372.29   1\r\n  -6  -7  -5 23.0844 1105.82   5\r\n  -6   7   5 1542.22 1248.68   1\r\n   6  -7   5 4353.30 1732.89   4\r\n   6   7  -5 3557.64 1247.09   7\r\n  -6  -7  -4 1925.96 1157.35   5\r\n  -6   7   4 2633.91 1389.17   1\r\n   6  -7   4 3344.67 1492.66   4\r\n  -6   7   4 2328.60 832.533   6\r\n   6   7  -4 1712.49 1077.34   7\r\n  -6  -7  -3 484.141 525.407   5\r\n   6   7  -3 816.428 707.764   7\r\n  -6   7   3 1196.71 651.926   6\r\n  -6   7   3 710.941 810.687   1\r\n   6   7  -2 1610.44 922.926   7\r\n  -6  -7  -2 1322.05 627.939   5\r\n  -6   7   2 1067.87 647.816   6\r\n  -6  -7  -2 929.669 575.169   4\r\n  -6   7   2 1184.34 764.068   1\r\n   6   7  -2 1040.03 410.099   1\r\n  -6  -7  -1 4035.27 1010.86   5\r\n   6   7  -1 5225.33 953.121   1\r\n  -6   7   1 6918.25 977.675   7\r\n  -6   7   1 6284.48 1527.53   6\r\n  -6  -7  -1 4953.60 568.036   3\r\n   6   7   0 2148.92 823.213   1\r\n  -6  -7   0 1274.97 609.898   5\r\n   6  -7   0 1008.35 778.576   4\r\n  -6  -7   1 3850.46 732.720   5\r\n   6  -7  -1 5385.61 1280.01   5\r\n   6  -7  -1 7029.91 1074.49   4\r\n  -6   7  -1 5055.73 668.614   7\r\n   6   7   1 4371.00 1245.63   1\r\n   6  -7  -2 1396.14 303.151   4\r\n  -6  -7   2 214.618 266.581   5\r\n   6  -7  -2 2048.19 893.991   5\r\n  -6   7  -2 1218.24 448.582   7\r\n   6   7   2 205.437 773.516   1\r\n   6  -7  -3 262.032 1089.57   5\r\n   6   7   3-3.99623 757.071   1\r\n   6  -7  -4 3227.82 1103.14   5\r\n  -6  -7   4 2364.59 1002.88   2\r\n   6   7   4 1498.72 1056.78   1\r\n  -6  -7   5-289.135 333.601   2\r\n   6   7   5 77.4292 1466.58   1\r\n  -6  -8  -4-568.226 784.862   5\r\n  -6   8   4-1996.25 1312.10   1\r\n   6  -8   4 1669.70 1061.83   4\r\n   6   8  -4 557.309 950.192   7\r\n  -6  -8  -3 3094.02 1284.49   5\r\n  -6   8   3 3625.50 1291.45   1\r\n   6  -8   3 2492.46 1358.32   4\r\n   6   8  -3 1435.21 970.536   7\r\n  -6  -8  -2 1797.89 855.524   5\r\n   6   8  -2 958.889 894.303   7\r\n  -6   8   2 494.528 696.185   1\r\n   6   8  -1 2279.01 817.625   1\r\n  -6  -8  -1 2557.73 805.883   5\r\n  -6  -8   0 494.946 643.763   5\r\n   6  -8   0 606.549 909.936   4\r\n   6   8   0 2462.05 945.515   1\r\n   6   8   1 1712.41 937.306   1\r\n   6  -8  -1 2263.77 1112.14   5\r\n   6  -8  -1 1647.58 707.873   4\r\n   6   8   2 1014.66 945.629   1\r\n   6  -8  -2 1751.46 814.214   5\r\n   6   8   3 2647.57 1288.03   1\r\n   6  -8  -3 4353.38 1285.61   5\r\n   6   8   4 15.2954 1267.43   1\r\n   6  -8  -4 272.242 849.952   5\r\n  -6  -8   4 1798.39 978.703   2\r\n  -6  -9  -2 343.839 1067.80   5\r\n   6  -9   2 1463.22 842.773   4\r\n   6   9  -2 869.435 902.791   7\r\n   6   9  -1 74.7703 1084.37   7\r\n  -6  -9  -1 525.732 767.291   5\r\n   6  -9   1-208.750 1117.80   4\r\n   6  -9   0 4775.27 1359.40   5\r\n   6  -9   0 2010.52 1125.02   4\r\n   6   9   0 1730.52 1081.94   1\r\n   6  -9  -1-836.878 931.100   5\r\n   6   9   1 337.641 699.481   1\r\n   6  -9  -2 357.841 817.715   5\r\n   6   9   2 2013.64 1092.56   1\r\n  -7   0   0-36.3464 245.955   4\r\n  -7   0   0-589.700 376.584   2\r\n  -7   0  -1 14687.3 1192.99   4\r\n  -7   0  -1 11278.6 963.129   6\r\n  -7   0   1 14804.2 1047.95   4\r\n   7   0  -1 13331.3 1009.20   4\r\n  -7   0   1 15019.0 1223.81   2\r\n  -7   0  -1 15844.9 938.736   2\r\n   7   0  -1 13673.5 991.729   7\r\n   7   0   1 13678.8 929.700   2\r\n   7   0  -2 108.353 557.677   7\r\n  -7   0   2 175.215 563.140   2\r\n   7   0  -2 3.17755 355.552   5\r\n  -7   0   2 82.3718 438.433   7\r\n  -7   0  -2 27.2869 500.626   4\r\n  -7   0  -2 252.107 337.234   6\r\n  -7   0   2 273.080 339.814   4\r\n   7   0  -2 113.640 339.362   1\r\n   7   0   2 98.6519 249.196   2\r\n   7   0  -3 76328.6 2511.97   1\r\n   7   0   3 76424.9 3135.02   7\r\n   7   0   3 86454.4 3536.46   4\r\n   7   0  -3 80834.7 3465.30   2\r\n   7   0  -3 79086.4 3502.06   7\r\n  -7   0   3 84756.2 3039.07   4\r\n  -7   0   3 80997.8 3374.82   2\r\n  -7   0  -3 80850.5 2438.13   6\r\n  -7   0  -3 89121.4 3715.51   4\r\n   7   0   3 78577.9 2479.61   6\r\n   7   0   3 84408.4 1843.58   2\r\n   7   0  -3 81281.3 2960.55   5\r\n  -7   0   3 79639.8 3233.47   7\r\n   7   0   3 92877.1 4380.08   3\r\n   7   0  -4 3186.13 939.624   5\r\n  -7   0   4 3496.85 905.389   2\r\n   7   0   4 4063.72 497.229   2\r\n  -7   0   4 4387.40 891.605   5\r\n  -7   0  -4 650.581 1049.08   3\r\n   7   0   4 4526.03 1065.08   4\r\n   7   0   4 4111.95 429.508   2\r\n   7   0  -4 3403.97 1084.75   7\r\n   7   0  -4 3994.57 994.663   2\r\n   7   0   4 4175.47 1054.68   7\r\n   7   0   4 3843.79 629.617   6\r\n  -7   0   4 4428.33 873.336   4\r\n   7   0  -5 9826.77 1635.95   5\r\n  -7   0   5 9936.42 1662.87   2\r\n   7   0   5 10841.8 647.561   2\r\n   7   0   5 11959.0 1804.03   4\r\n   7   0   5 10301.2 672.502   2\r\n   7   0   5 11047.8 1004.99   6\r\n   7   0  -5 8104.08 1728.23   7\r\n  -7   0   5 10779.0 1504.89   4\r\n   7   0  -6 2136.64 1063.39   5\r\n   7   0   6 2486.56 1165.51   4\r\n  -7   0   6 1903.06 903.161   2\r\n   7   0  -6 2062.86 1182.22   7\r\n   7   0  -7-649.371 848.807   5\r\n   7   0  -7-276.968 726.898   7\r\n   7   0   7-313.624 1023.85   4\r\n  -7   0   7-248.872 362.494   2\r\n   7  -1   7 5359.69 1290.29   4\r\n   7   1  -7 2445.51 1446.28   7\r\n  -7   1   7 3802.33 967.601   1\r\n  -7   1   7 2083.39 997.420   2\r\n   7   1  -7 1226.45 1102.52   5\r\n   7   1  -6 2101.19 1053.79   5\r\n   7  -1   6 1934.05 637.102   2\r\n   7   1  -6 4295.98 1517.10   7\r\n   7  -1   6 2639.79 1236.10   4\r\n  -7   1   6 1374.21 807.254   1\r\n  -7   1   6 1528.77 679.363   2\r\n  -7   1   5 13091.2 1515.04   1\r\n  -7   1   5 13184.5 1800.79   2\r\n   7  -1   5 10463.7 1792.49   4\r\n   7  -1   5 13335.3 1194.42   2\r\n   7   1  -5 10050.7 2019.69   7\r\n  -7   1   5 10747.4 1334.87   4\r\n   7   1  -5 13400.2 1680.28   5\r\n   7  -1   5 14237.9 1492.79   6\r\n  -7  -1  -5 11897.4 2006.54   5\r\n   7   1  -4 7263.28 1063.93   5\r\n   7   1  -4 7110.77 1342.83   7\r\n  -7  -1  -4 4140.93 1430.39   3\r\n   7  -1   4 8954.13 1127.01   6\r\n  -7  -1  -4 8506.85 1504.63   5\r\n   7  -1   4 5495.73 1303.34   4\r\n   7  -1   4 8923.68 1340.47   7\r\n  -7   1   4 8351.13 979.060   4\r\n  -7   1   4 7207.07 1010.76   1\r\n  -7   1   4 7936.46 1251.23   2\r\n  -7  -1  -3 1272.59 711.762   5\r\n   7   1  -3 1263.59 447.834   5\r\n   7  -1   3 2307.47 829.242   3\r\n   7   1  -3 2765.68 466.559   1\r\n   7  -1   3 2049.72 803.024   4\r\n  -7  -1  -3 1493.61 1068.67   3\r\n  -7  -1  -3 1184.32 532.240   4\r\n   7  -1   3 1790.72 554.956   6\r\n   7  -1   3 1972.87 644.421   7\r\n   7   1  -3 1794.26 650.284   2\r\n   7   1  -3 1743.93 739.137   7\r\n  -7   1   3 1986.17 466.662   4\r\n  -7   1   3 1149.83 575.277   7\r\n  -7  -1  -3 1654.42 319.460   6\r\n  -7   1   3 1803.90 758.084   2\r\n  -7  -1  -2 43929.3 2700.90   3\r\n  -7  -1  -2 44790.7 2285.15   4\r\n  -7   1   2 43212.6 1621.16   4\r\n   7  -1   2 37766.2 1749.31   7\r\n   7   1  -2 39455.8 2128.74   7\r\n  -7  -1  -2 44910.6 2327.91   5\r\n   7  -1   2 42958.0 2090.32   6\r\n  -7  -1  -2 40471.2 1546.31   6\r\n  -7   1   2 40880.8 1955.25   7\r\n  -7   1   2 41405.2 2181.50   2\r\n   7   1  -2 41824.8 1483.63   5\r\n  -7  -1  -1 10128.9 785.469   2\r\n  -7  -1  -1 11165.1 1070.11   4\r\n  -7   1   1 10395.5 817.765   4\r\n   7  -1   1 10469.8 881.829   2\r\n   7   1  -1 10117.2 1008.87   7\r\n   7  -1   1 10457.5 1054.75   6\r\n  -7   1   1 11377.9 814.803   7\r\n  -7   1   1 9768.73 1027.70   2\r\n  -7   1   0 275374. 4480.27   4\r\n   7  -1   0 275013. 4360.22   4\r\n  -7  -1   0 288304. 4837.24   4\r\n  -7   1   0 276393. 4511.58   2\r\n   7   1   0 275945. 4668.53   2\r\n  -7   1   0 268286. 5130.25   6\r\n  -7  -1   0 279761. 4648.07   2\r\n  -7   1  -1 8669.59 990.556   4\r\n   7  -1  -1 10941.8 867.016   7\r\n   7   1   1 11282.2 854.563   2\r\n   7  -1  -1 10913.2 862.405   4\r\n  -7  -1   1 9298.66 947.930   4\r\n  -7  -1   1 11353.6 1162.79   2\r\n  -7   1  -1 10987.7 1063.93   6\r\n   7   1   1 10438.3 972.536   5\r\n   7  -1  -2 42177.0 2246.15   2\r\n   7  -1  -2 43511.0 1952.48   1\r\n  -7  -1   2 37236.9 2266.57   2\r\n   7   1   2 43424.2 2150.36   4\r\n   7   1   2 45128.8 1261.03   2\r\n  -7  -1   2 39131.5 2098.03   4\r\n  -7   1  -2 39604.3 1980.49   6\r\n   7  -1  -2 41959.4 1749.28   4\r\n  -7   1  -2 41447.7 2421.04   4\r\n   7  -1  -2 42661.0 2125.69   7\r\n   7  -1  -2 43246.9 1985.95   5\r\n   7  -1  -3 1648.36 552.653   1\r\n   7  -1  -3 1437.79 678.604   5\r\n  -7   1  -3 2474.47 668.961   6\r\n  -7  -1   3 1268.80 649.101   2\r\n   7  -1  -3 1946.23 677.069   2\r\n   7  -1  -3 1746.22 704.052   7\r\n   7   1   3 1482.35 639.191   4\r\n   7   1   3 1280.10 555.509   7\r\n  -7  -1   3 1955.20 637.967   4\r\n   7   1   4 8990.55 1625.59   3\r\n   7  -1  -4 7766.56 1350.11   5\r\n  -7  -1   4 8288.62 1364.73   2\r\n   7  -1  -4 4893.16 1086.28   2\r\n   7  -1  -4 8139.96 1440.05   7\r\n   7   1   4 7279.49 1261.12   4\r\n   7  -1  -4 8065.30 1081.74   1\r\n  -7  -1   4 6532.42 1254.88   4\r\n  -7  -1   4 7308.05 1010.59   5\r\n   7  -1  -5 11934.5 1810.27   5\r\n   7   1   5 12830.6 1786.66   4\r\n  -7  -1   5 12784.6 1892.78   2\r\n   7  -1  -5 12216.1 1743.80   2\r\n   7  -1  -5 13523.9 2218.59   7\r\n  -7  -1   5 13732.6 1619.82   5\r\n   7  -1  -6 2256.53 1125.14   5\r\n  -7  -1   6 4304.75 1064.04   2\r\n   7   1   6 3152.57 1160.28   4\r\n   7  -1  -6 2883.88 1370.77   7\r\n   7  -1  -7 3853.93 1395.22   5\r\n  -7  -1   7 2429.62 1013.33   2\r\n   7   1   7 5465.74 1424.18   4\r\n   7  -1  -7 2843.93 1600.74   7\r\n  -7   2   7-1238.18 1058.06   1\r\n   7  -2   7 1114.13 1168.83   4\r\n  -7  -2  -7-108.962 965.544   5\r\n   7   2  -7 523.555 1471.61   7\r\n  -7   2   6 5223.43 1092.57   6\r\n   7  -2   6 4680.01 1479.01   4\r\n   7   2  -6 5825.69 1711.64   7\r\n   7  -2   6 4654.87 1034.55   2\r\n  -7   2   6 6002.52 1082.90   2\r\n   7   2  -6 4745.45 1100.70   5\r\n  -7  -2  -6 5203.13 1793.07   5\r\n  -7   2   6 4401.86 1163.74   1\r\n   7  -2   5 9556.50 1831.53   4\r\n   7   2  -5 9542.11 1329.59   5\r\n  -7   2   5 9769.86 977.806   4\r\n  -7   2   5 9247.68 1414.11   1\r\n  -7   2   5 10291.3 952.534   4\r\n   7  -2   5 9774.51 1491.68   6\r\n  -7   2   5 6848.64 1238.50   2\r\n   7   2  -5 9878.80 1937.24   7\r\n  -7  -2  -5 10496.3 1808.50   5\r\n  -7  -2  -4 31092.2 2378.25   4\r\n   7  -2   4 31617.7 2763.43   4\r\n  -7   2   4 31290.6 1389.37   4\r\n  -7   2   4 31457.0 2226.06   1\r\n  -7   2   4 31315.9 2269.90   2\r\n   7  -2   4 33441.6 2408.29   7\r\n   7   2  -4 30345.1 2696.81   7\r\n   7  -2   4 30897.2 2283.54   6\r\n   7   2  -4 31098.4 1872.01   5\r\n  -7  -2  -4 30768.1 2692.25   5\r\n   7  -2   3 9385.14 1545.73   3\r\n   7   2  -3 8863.58 588.343   1\r\n  -7  -2  -3 7664.73 1321.02   5\r\n  -7  -2  -3 10386.4 1692.88   3\r\n  -7  -2  -3 10288.4 1254.24   4\r\n  -7   2   3 8267.41 625.313   4\r\n   7   2  -3 7808.57 1312.43   7\r\n   7  -2   3 8003.22 1068.75   7\r\n   7  -2   3 9351.61 1257.85   6\r\n  -7   2   3 8664.81 1139.69   1\r\n  -7   2   3 8874.21 1228.54   7\r\n  -7   2   3 8722.56 1159.17   2\r\n  -7   2   3 6428.64 1104.63   6\r\n   7  -2   3 10459.2 1407.91   5\r\n   7   2  -3 10035.9 875.251   5\r\n  -7  -2  -2 72595.3 3487.49   3\r\n  -7  -2  -2 81637.9 1780.32   2\r\n  -7   2   2 83901.6 2793.74   7\r\n  -7  -2  -2 84466.1 3100.59   4\r\n  -7   2   2 85827.3 1888.77   4\r\n  -7   2   2 82393.5 3248.90   6\r\n  -7   2   2 86285.0 3080.94   2\r\n   7   2  -2 86967.4 3277.09   7\r\n   7  -2   2 87763.2 3367.57   6\r\n   7  -2   2 77717.1 2345.65   7\r\n   7   2  -2 80260.8 1403.06   5\r\n  -7  -2  -2 84043.8 3248.62   5\r\n   7  -2   1 30621.3 1881.65   4\r\n  -7   2   1 29798.9 1329.77   4\r\n  -7  -2  -1 30604.9 1775.28   4\r\n  -7  -2  -1 34633.0 1569.84   2\r\n   7  -2   1 32125.4 956.250   7\r\n  -7   2   1 28493.3 1887.27   6\r\n  -7  -2  -1 30799.6 1618.61   5\r\n  -7   2   1 29829.1 1220.82   7\r\n   7   2   0 130.419 208.808   5\r\n   7  -2   0 476.183 344.145   4\r\n  -7  -2   0 321.116 456.989   2\r\n  -7   2   0 72.9660 282.564   4\r\n  -7  -2   0 142.961 326.698   4\r\n  -7   2   0-440.871 501.925   6\r\n  -7   2  -1 33132.9 2036.06   6\r\n   7  -2  -1 29773.1 1378.86   7\r\n  -7   2  -1 33248.3 2003.47   4\r\n   7  -2  -1 28649.8 1253.14   4\r\n   7   2   1 29676.8 1655.75   5\r\n  -7  -2   1 26044.2 1756.19   4\r\n  -7  -2   1 25520.1 1807.41   2\r\n   7   2   1 30461.3 1817.36   4\r\n   7  -2  -1 32510.7 1736.04   1\r\n  -7   2  -1 28480.4 2038.75   3\r\n  -7   2  -2 80883.8 3937.23   3\r\n   7  -2  -2 81650.4 3006.79   1\r\n   7   2   2 83189.4 2961.20   4\r\n   7  -2  -2 89440.7 3058.58   7\r\n  -7  -2   2 88009.2 3507.77   4\r\n   7  -2  -2 89179.5 3305.24   2\r\n  -7  -2   2 83535.8 3503.54   2\r\n  -7   2  -2 85573.7 3308.93   6\r\n   7  -2  -2 84900.7 1978.75   4\r\n   7   2   2 81254.6 3289.49   5\r\n   7  -2  -2 85911.8 3084.15   5\r\n   7  -2  -3 9853.51 1367.17   7\r\n  -7   2  -3 8669.32 1184.43   6\r\n  -7  -2   3 10666.1 1400.46   4\r\n  -7   2  -3 10820.0 1869.05   3\r\n   7   2   3 10917.1 1276.92   4\r\n   7  -2  -3 9221.12 1263.83   2\r\n   7  -2  -3 11136.8 1329.58   1\r\n  -7  -2   3 8618.67 1349.49   2\r\n   7   2   3 12121.0 1551.96   5\r\n   7  -2  -3 10370.5 1321.28   5\r\n  -7  -2   3 9408.16 772.188   5\r\n   7  -2  -4 31651.0 2384.20   2\r\n   7   2   4 34581.4 2372.49   4\r\n  -7  -2   4 31858.8 2733.23   4\r\n   7  -2  -4 29743.7 2230.29   1\r\n   7  -2  -4 30188.6 2641.84   7\r\n  -7  -2   4 27583.7 2480.26   2\r\n   7  -2  -4 29082.2 2461.19   5\r\n  -7  -2   4 31428.1 1795.95   5\r\n   7  -2  -5 10948.8 1799.05   5\r\n  -7  -2   5 8748.99 1647.15   2\r\n   7  -2  -5 8403.37 1469.85   2\r\n   7   2   5 10198.5 1532.87   4\r\n   7  -2  -5 9527.06 1798.48   7\r\n  -7  -2   5 10926.8 1355.25   5\r\n  -7  -2   6 5607.13 1180.48   2\r\n   7  -2  -6 6157.12 1516.54   5\r\n   7   2   6 5340.55 1331.57   4\r\n   7  -2  -6 4389.48 1324.79   7\r\n   7  -2  -7-2533.17 1434.25   5\r\n  -7  -2   7-2224.10 937.765   2\r\n   7   2   7 1162.16 778.045   1\r\n   7   2   7 881.587 840.110   4\r\n   7   3  -7 5067.82 1968.95   7\r\n  -7   3   7 4172.23 1369.45   1\r\n   7  -3   7 2913.24 1676.93   4\r\n  -7  -3  -7 2899.34 1370.46   5\r\n   7   3  -6 7063.37 1560.07   7\r\n  -7   3   6 5094.10 1378.84   1\r\n  -7  -3  -6 7533.66 1546.69   5\r\n  -7   3   6 3380.94 917.861   6\r\n   7  -3   6 5511.76 1611.20   4\r\n   7   3  -5 14563.7 2273.97   7\r\n  -7   3   5 15536.2 1966.26   1\r\n  -7  -3  -5 15360.3 2248.75   5\r\n   7  -3   5 14530.5 2336.41   4\r\n  -7   3   5 14265.4 1638.10   6\r\n  -7  -3  -4 4813.85 1299.32   5\r\n  -7   3   4 5809.94 1193.51   1\r\n   7   3  -4 5689.73 1444.69   7\r\n  -7   3   4 5478.41 1182.16   6\r\n   7  -3   4 5917.03 1608.49   4\r\n  -7  -3  -4 5185.80 1050.94   4\r\n   7  -3   4 6035.09 1374.81   6\r\n   7  -3   4 6469.51 1101.51   7\r\n  -7  -3  -3 2750.95 899.019   5\r\n  -7   3   3 4598.45 984.852   1\r\n   7  -3   3 4522.32 1127.84   3\r\n  -7  -3  -3 5270.89 1315.27   3\r\n  -7   3   3 3731.73 909.852   6\r\n   7  -3   3 3399.71 1140.47   4\r\n  -7  -3  -3 4393.68 885.394   4\r\n  -7  -3  -3 4272.77 380.974   6\r\n  -7   3   3 4008.35 857.386   7\r\n   7  -3   3 5076.76 1148.46   6\r\n   7   3  -3 3843.02 997.164   7\r\n   7  -3   3 4625.81 761.819   7\r\n  -7  -3  -2 9270.19 1308.43   3\r\n   7  -3   2 8749.03 1297.47   4\r\n  -7  -3  -2 7796.82 1047.06   4\r\n   7  -3   2 8515.81 738.374   7\r\n   7   3  -2 9529.07 1220.47   7\r\n  -7   3   2 8620.51 1002.60   7\r\n  -7  -3  -2 8276.05 796.092   2\r\n  -7   3   2 8530.19 1178.78   6\r\n   7  -3   2 9203.01 1302.54   6\r\n  -7  -3  -2 7315.48 1123.09   5\r\n  -7   3   1 19020.5 1702.59   6\r\n  -7  -3  -1 17542.2 1448.30   4\r\n  -7   3   1 19132.0 1041.77   7\r\n  -7  -3  -1 19022.4 1383.88   2\r\n   7  -3   1 19913.9 1663.14   4\r\n  -7  -3  -1 18670.7 1375.26   5\r\n   7  -3   0 55010.3 2357.14   1\r\n   7  -3   0 55201.7 2264.39   4\r\n  -7  -3   0 54687.6 2564.65   4\r\n   7   3   0 44787.4 2583.20   4\r\n  -7   3   0 52561.3 2776.86   6\r\n  -7  -3   0 53733.6 2585.40   2\r\n  -7  -3   0 50049.1 1652.56   5\r\n   7   3   0 54650.7 1633.27   5\r\n  -7   3  -1 20752.5 1785.96   3\r\n  -7  -3   1 20570.1 1701.02   4\r\n   7  -3  -1 19418.4 1509.57   1\r\n   7  -3  -1 20412.2 1099.54   4\r\n   7   3   1 22354.1 1668.91   4\r\n  -7   3  -1 19601.1 1794.16   6\r\n  -7  -3   1 20469.7 1787.17   2\r\n   7  -3  -1 18483.5 1661.41   6\r\n   7   3   1 19508.3 1387.96   5\r\n   7  -3  -2 8233.82 1143.33   1\r\n  -7   3  -2 8948.17 1461.42   3\r\n   7  -3  -2 7844.24 487.130   4\r\n   7  -3  -2 8318.63 1139.46   2\r\n  -7   3  -2 9643.03 1369.05   6\r\n  -7  -3   2 9243.77 1379.55   2\r\n  -7  -3   2 5890.73 1097.22   4\r\n   7   3   2 8999.46 1197.52   5\r\n   7  -3  -2 9036.92 1185.54   5\r\n   7   3   2 8631.05 1130.65   4\r\n   7  -3  -3 4192.35 909.517   2\r\n   7   3   3 4133.86 1090.82   5\r\n   7  -3  -3 3214.94 988.159   5\r\n  -7   3  -3 184.689 945.507   3\r\n   7  -3  -3 3473.88 907.873   7\r\n  -7  -3   3 2622.22 998.098   2\r\n   7   3   3 3816.38 895.453   4\r\n   7  -3  -3 4316.26 957.880   1\r\n  -7  -3   3 4147.73 1005.78   4\r\n  -7  -3   3 4756.72 441.440   5\r\n   7  -3  -4 7513.19 1535.92   5\r\n   7  -3  -4 5182.35 1153.11   2\r\n   7  -3  -4 6955.10 1474.77   7\r\n  -7  -3   4 6943.39 1496.15   2\r\n   7   3   4 5016.69 1091.42   4\r\n  -7  -3   4 5983.09 820.760   5\r\n   7   3   5 15006.2 1759.48   4\r\n  -7  -3   5 12753.7 2067.87   2\r\n   7  -3  -5 17037.5 2358.75   5\r\n  -7  -3   5 17885.5 1601.18   5\r\n   7  -3  -6 5164.74 1623.79   5\r\n  -7  -3   6 5819.48 1500.50   2\r\n   7   3   6 4916.92 1111.95   4\r\n   7  -3  -7 2333.09 1271.46   5\r\n  -7  -3   7 3308.77 1132.59   2\r\n   7   3   7 4107.92 1575.43   1\r\n  -7  -4  -6 1853.14 1163.52   5\r\n  -7   4   6 826.644 801.411   1\r\n   7  -4   6 1143.40 1397.64   4\r\n   7   4  -6 1615.85 1188.06   7\r\n  -7  -4  -5 3021.73 1206.19   5\r\n   7  -4   5 2422.95 1226.82   4\r\n  -7   4   5 4514.46 984.800   6\r\n   7   4  -5 4030.55 1427.15   7\r\n  -7   4   5 2344.34 1105.54   1\r\n  -7  -4  -4 21049.7 2500.26   5\r\n   7  -4   4 23412.9 2700.25   4\r\n  -7  -4  -4 24364.2 2034.08   4\r\n  -7   4   4 24141.9 2157.95   6\r\n  -7   4   4 21777.3 2259.11   1\r\n   7  -4   4 26835.3 1974.20   7\r\n   7   4  -4 22972.1 2568.28   7\r\n   7  -4   3 17746.3 2222.17   3\r\n  -7  -4  -3 18549.1 2143.27   3\r\n   7   4  -3 16614.8 1907.13   7\r\n   7  -4   3 17542.9 2222.24   4\r\n  -7  -4  -3 17249.5 1636.42   4\r\n  -7   4   3 17585.7 1783.41   7\r\n   7  -4   3 16453.5 1298.14   7\r\n  -7  -4  -3 17702.4 1056.82   6\r\n  -7  -4  -3 15527.8 1019.72   2\r\n  -7   4   3 18760.4 1899.73   6\r\n  -7   4   3 17340.6 1851.27   1\r\n  -7  -4  -3 17151.6 2002.69   5\r\n  -7  -4  -2 231.409 551.706   5\r\n  -7  -4  -2 282.472 472.857   3\r\n  -7   4   2-853.665 485.120   7\r\n   7  -4   2 39.8033 625.987   4\r\n   7   4  -2 183.588 642.363   7\r\n  -7  -4  -2-32.7299 209.598   4\r\n   7  -4   2-150.362 616.078   6\r\n  -7   4   2 358.959 394.665   6\r\n  -7  -4  -2-109.280 349.897   2\r\n  -7   4   2-487.864 593.302   1\r\n   7  -4   1 13752.1 1547.98   4\r\n  -7  -4  -1 12787.2 1345.24   4\r\n  -7   4   1 14204.2 1648.04   6\r\n   7  -4   1 14172.6 1294.47   1\r\n  -7   4   1 11827.6 900.624   7\r\n  -7  -4  -1 13633.3 1312.47   5\r\n  -7   4   0 7000.78 935.754   3\r\n   7  -4   0 8485.48 1054.48   4\r\n   7  -4   0 7846.23 1072.48   1\r\n  -7  -4   0 8082.94 805.493   5\r\n  -7   4   0 7956.30 1299.68   6\r\n  -7  -4   0 7900.60 1128.18   4\r\n   7   4   0 8746.97 1353.37   4\r\n  -7   4  -1 12759.2 1550.72   3\r\n   7  -4  -1 12827.1 1422.05   1\r\n   7  -4  -1 11383.5 962.350   4\r\n   7  -4  -1 13581.9 1469.99   2\r\n   7   4   1 13629.4 1531.97   4\r\n  -7  -4   1 15054.1 1645.97   4\r\n  -7   4  -1 14638.8 1756.84   6\r\n   7  -4  -1 14796.1 1642.44   6\r\n  -7  -4   1 13660.8 1700.68   2\r\n   7   4   1 12491.8 1178.35   5\r\n   7  -4  -2-52.9378 592.982   1\r\n   7   4   2-829.454 534.934   5\r\n  -7   4  -2 253.897 280.532   7\r\n   7  -4  -2-395.016 563.669   5\r\n  -7   4  -2 289.238 573.829   3\r\n  -7  -4   2 27.1856 724.277   2\r\n   7  -4  -2 151.052 101.415   4\r\n   7  -4  -2-24.7479 458.654   2\r\n   7   4   2 8.11480 515.746   4\r\n  -7   4  -2 39.0151 481.235   6\r\n  -7  -4   2-784.185 579.845   4\r\n   7   4   3 13641.6 1498.61   4\r\n  -7   4  -3 18958.8 1510.33   7\r\n   7  -4  -3 19815.9 1881.04   2\r\n  -7  -4   3 17583.9 2143.26   2\r\n   7  -4  -3 16091.9 1933.12   5\r\n   7   4   4 23808.9 1990.59   4\r\n  -7  -4   4 22943.8 2584.44   2\r\n  -7   4  -4 20253.0 1950.74   7\r\n   7  -4  -4 19980.0 2403.83   5\r\n  -7  -4   4 25188.0 1272.47   5\r\n   7  -4  -5 4143.70 1199.48   5\r\n  -7  -4   5 4172.78 1205.75   2\r\n   7   4   5 2516.69 763.763   4\r\n  -7   4  -5 1660.30 816.097   7\r\n   7  -4  -6 670.856 950.745   5\r\n   7   4   6 973.564 1094.56   1\r\n  -7  -4   6 5.00034 1066.40   2\r\n  -7  -5  -6 3855.07 1386.66   5\r\n  -7   5   6 2322.00 1085.15   1\r\n   7   5  -6 688.068 1162.50   7\r\n   7  -5   6 688.925 1469.45   4\r\n  -7  -5  -5-745.963 891.756   5\r\n  -7   5   5-1696.40 997.011   1\r\n   7  -5   5 765.096 894.430   4\r\n   7   5  -5-937.774 947.758   7\r\n  -7   5   5-85.2524 617.026   6\r\n  -7  -5  -4 2121.83 967.816   5\r\n  -7   5   4 377.874 871.128   1\r\n  -7  -5  -4 994.934 272.332   2\r\n   7  -5   4 1546.01 1115.10   4\r\n  -7  -5  -4 235.886 575.622   4\r\n   7   5  -4 1111.34 938.902   7\r\n   7  -5   4 855.179 588.858   7\r\n  -7   5   4 2018.48 858.022   6\r\n   7  -5   4 1325.42 444.850   1\r\n  -7  -5  -3 7127.47 1474.19   5\r\n  -7  -5  -3 8692.52 1527.92   3\r\n   7  -5   3 8331.85 1081.07   1\r\n  -7   5   3 8383.53 1263.02   7\r\n   7   5  -3 8689.85 1509.90   7\r\n  -7  -5  -3 8556.22 1000.24   6\r\n  -7   5   3 8878.19 1479.88   6\r\n  -7  -5  -3 7684.99 983.164   2\r\n   7  -5   3 7073.22 1680.62   4\r\n  -7   5   3 8537.10 1400.50   1\r\n  -7  -5  -3 8480.22 1216.81   4\r\n   7   5  -2 12265.9 903.536   1\r\n  -7  -5  -2 12299.7 1497.02   3\r\n  -7  -5  -2 14194.5 1486.75   4\r\n   7  -5   2 14478.6 1440.75   1\r\n  -7   5   2 12234.3 1316.08   7\r\n   7   5  -2 13610.7 1720.16   7\r\n   7  -5   2 11104.6 1735.27   4\r\n  -7  -5  -2 10892.5 1306.98   6\r\n  -7   5   2 11925.3 1670.49   6\r\n  -7   5   2 11195.4 1536.04   1\r\n  -7  -5  -2 12525.4 1596.47   5\r\n  -7  -5  -1 7578.44 1114.26   5\r\n   7  -5   1 10080.0 1499.25   4\r\n   7  -5   1 8079.73 1124.67   1\r\n  -7   5   1 7372.01 1347.95   6\r\n  -7  -5  -1 8772.26 1192.85   4\r\n  -7   5   1 7872.42 868.185   7\r\n   7   5  -1 7142.63 904.105   1\r\n  -7   5   1 9459.46 938.114   3\r\n  -7   5   0 31028.2 1947.56   3\r\n   7  -5   0 32723.0 2264.44   1\r\n   7  -5   0 32069.6 2156.42   4\r\n  -7   5   0 30768.7 930.253   7\r\n  -7   5   0 29504.2 2626.38   6\r\n  -7  -5   0 30260.3 2389.81   4\r\n  -7   5   0 33418.2 1093.64   7\r\n  -7  -5   0 34672.2 1836.65   5\r\n  -7   5  -1 8273.46 447.536   7\r\n   7  -5  -1 7829.42 937.462   4\r\n  -7   5  -1 8786.99 1380.74   3\r\n   7  -5  -1 7702.28 1403.78   6\r\n  -7   5  -1 9060.42 1594.25   6\r\n  -7  -5   1 8775.29 682.014   5\r\n   7   5   1 8056.27 1428.40   4\r\n   7   5   1 8981.70 1098.84   5\r\n  -7  -5   2 12527.7 1887.26   2\r\n   7  -5  -2 12629.4 629.966   4\r\n  -7   5  -2 13468.9 982.621   7\r\n   7   5   2 11464.9 1561.08   4\r\n   7  -5  -2 12476.8 701.302   4\r\n  -7   5  -2 13263.0 1983.02   6\r\n   7  -5  -2 13530.5 1731.46   6\r\n   7   5   2 13617.9 1544.22   5\r\n   7  -5  -2 12353.8 1697.43   5\r\n   7  -5  -3 7876.13 1633.87   5\r\n  -7  -5   3 7982.04 1666.55   2\r\n  -7   5  -3 9087.67 1030.05   7\r\n   7   5   3 7564.51 1254.28   4\r\n   7  -5  -4 1329.15 1055.64   5\r\n  -7   5  -4 704.033 552.276   7\r\n   7   5   4 1676.20 740.127   4\r\n  -7  -5   4 1396.36 933.967   2\r\n   7  -5  -5-505.309 1019.87   5\r\n   7   5   5 381.707 1059.66   1\r\n  -7   5  -5 198.979 526.846   7\r\n   7   5   5 628.815 657.590   4\r\n  -7  -5   5-261.775 437.920   2\r\n  -7  -5   6 387.730 1256.62   2\r\n   7   5   6 1914.22 1051.17   1\r\n  -7  -6  -5 2375.77 1127.25   5\r\n   7   6  -5 4011.16 1302.93   7\r\n  -7   6   5 1317.52 1092.40   1\r\n   7  -6   5 4205.45 1626.60   4\r\n  -7  -6  -4 3985.27 1284.96   5\r\n  -7   6   4 4952.89 1501.26   1\r\n   7  -6   4 3781.84 1483.60   4\r\n   7   6  -4 5337.75 1380.80   7\r\n  -7   6   4 3880.29 1098.34   6\r\n  -7  -6  -3 3082.33 1119.74   5\r\n  -7   6   3 4976.63 1211.48   1\r\n   7  -6   3 6320.49 1649.88   4\r\n   7   6  -3 5971.25 1314.82   7\r\n  -7   6   3 3610.84 1325.34   6\r\n  -7   6   3 5293.02 1050.79   7\r\n   7  -6   3 4113.62 858.670   1\r\n  -7  -6  -3 4845.93 998.389   4\r\n  -7   6   2 11080.7 703.210   3\r\n  -7  -6  -2 15634.6 1498.05   3\r\n  -7  -6  -2 12083.2 1628.02   5\r\n   7   6  -2 13505.6 1048.34   1\r\n   7  -6   2 13050.9 1406.71   1\r\n  -7  -6  -2 14860.9 1643.30   4\r\n  -7   6   2 15100.5 1558.51   7\r\n   7   6  -2 13114.6 1809.70   7\r\n  -7   6   2 12127.6 1656.71   1\r\n   7  -6   2 10744.7 1788.99   4\r\n  -7  -6  -2 13396.5 1652.56   6\r\n  -7   6   2 12701.0 1780.40   6\r\n  -7  -6  -1 412.952 607.029   5\r\n  -7   6   1 1883.54 474.221   7\r\n  -7   6   1 944.619 292.586   3\r\n   7  -6   1 1119.30 754.537   4\r\n  -7  -6  -1 975.193 802.489   6\r\n  -7   6   1 570.486 845.246   6\r\n  -7  -6  -1 738.662 685.851   4\r\n   7   6  -1 186.557 496.834   1\r\n  -7  -6   0 1907.91 579.211   5\r\n  -7   6   0 2913.08 399.581   7\r\n  -7   6   0 2380.88 427.298   7\r\n   7  -6   0 3611.82 939.534   4\r\n   7   6   0 2101.32 767.542   1\r\n  -7   6   0 2446.29 945.296   6\r\n  -7  -6   1 695.888 403.059   5\r\n  -7   6  -1 711.202 227.248   7\r\n   7  -6  -1 448.850 442.892   4\r\n  -7   6  -1 472.364 854.053   6\r\n   7   6   1 1555.99 757.741   1\r\n   7  -6  -2 11865.7 1821.82   5\r\n   7  -6  -2 13966.6 815.793   4\r\n  -7   6  -2 14876.6 1053.33   7\r\n   7  -6  -2 14233.7 858.444   4\r\n   7   6   2 14537.2 1837.08   1\r\n   7  -6  -3 3421.24 1168.87   5\r\n   7   6   3 4494.88 1315.76   1\r\n  -7  -6   3 6320.16 1573.80   2\r\n  -7   6  -3 6720.42 956.178   7\r\n   7   6   3 5202.62 1317.82   4\r\n   7  -6  -4 4877.33 1441.08   5\r\n  -7   6  -4 2763.23 771.134   7\r\n   7   6   4 6522.63 1594.70   1\r\n   7   6   4 2612.43 1040.18   4\r\n  -7  -6   4 3612.02 1256.93   2\r\n   7  -6  -5 2540.41 1362.34   5\r\n  -7  -6   5 3868.17 1550.47   2\r\n   7   6   5 1633.52 1324.00   1\r\n  -7  -7  -4 3623.22 1120.56   5\r\n  -7   7   4-223.092 1101.52   1\r\n  -7   7   4 733.638 649.692   6\r\n   7  -7   4 667.164 1150.70   4\r\n  -7  -7  -3 2154.77 844.323   5\r\n  -7   7   3 3201.11 1265.11   1\r\n   7  -7   3 1544.93 1185.31   4\r\n   7   7  -3 5564.26 1334.47   7\r\n  -7   7   3 3083.43 1157.19   6\r\n  -7  -7  -2 3711.79 995.961   5\r\n  -7   7   2 4361.50 1350.32   6\r\n   7   7  -2 4288.92 711.961   1\r\n   7  -7   2 5954.72 1508.08   4\r\n   7   7  -2 2960.92 1053.37   7\r\n  -7   7   2 4536.46 1264.53   1\r\n  -7  -7  -1 3260.57 963.634   5\r\n  -7  -7  -1 4103.08 665.694   3\r\n   7   7  -1 2801.55 785.804   1\r\n   7  -7   1 3203.28 1056.74   4\r\n  -7   7   1 2947.57 1060.63   6\r\n  -7  -7   0 204.788 446.307   5\r\n   7  -7   0-267.892 700.000   4\r\n  -7   7   0 474.413 730.974   6\r\n  -7   7   0 91.1235 259.618   7\r\n   7   7   0 192.242 624.743   1\r\n  -7  -7   1 3291.80 624.832   5\r\n   7  -7  -1 3434.12 1149.92   5\r\n   7  -7  -1 4530.07 938.467   4\r\n  -7   7  -1 4566.60 535.744   7\r\n   7   7   1 4150.45 1172.07   1\r\n   7  -7  -2 4940.07 1348.34   5\r\n   7   7   2 3436.72 1015.58   1\r\n   7  -7  -3 2551.11 1106.67   5\r\n   7   7   3 3600.99 1101.44   1\r\n  -7  -7   3 1525.43 1466.62   2\r\n   7  -7  -4 246.462 1100.85   5\r\n  -7  -7   4 982.162 763.436   2\r\n   7   7   4-734.397 1091.78   1\r\n  -7  -8  -3-1996.59 1119.41   5\r\n   7   8  -3 2414.15 842.760   7\r\n  -7   8   3-637.137 855.667   1\r\n   7  -8   3 1412.67 1166.36   4\r\n  -7  -8  -2 3745.17 950.892   5\r\n   7  -8   2 3556.01 1446.70   4\r\n   7   8  -2 4691.02 1299.01   7\r\n  -7  -8  -1 5816.32 1230.23   5\r\n   7  -8   1 5619.29 1526.48   4\r\n   7   8  -1 3845.15 982.804   1\r\n  -7  -8   0 32.3505 662.952   5\r\n   7   8   0 1226.83 724.098   1\r\n   7  -8   0 1067.89 765.967   4\r\n   7   8   1 5946.58 1433.39   1\r\n   7  -8  -1 4432.84 1311.74   5\r\n   7  -8  -2 5107.51 1387.19   5\r\n   7   8   2 3633.95 1266.08   1\r\n   7  -8  -3 1554.55 1194.53   5\r\n  -7  -8   3-612.033 852.189   2\r\n   7   8   3 1502.57 1056.83   1\r\n  -7  -9  -2-21.5017 1022.38   5\r\n   7  -9   2 2016.81 1401.34   4\r\n   7   9  -2 1911.38 1122.71   7\r\n   7  -9   1 2865.65 1471.82   4\r\n   7   9  -1 3729.09 1379.83   7\r\n   7  -9   0 2923.41 1178.25   5\r\n   7   9   0 3606.22 1104.29   1\r\n   7  -9  -1 1780.91 1331.88   5\r\n   7   9   1 2363.40 1217.57   1\r\n   7  -9  -2 2070.91 835.774   5\r\n   7   9   2 422.367 1010.33   1\r\n   8   0   0 17641.9 1251.13   2\r\n  -8   0   0 15640.7 1180.00   2\r\n  -8   0   0 18078.4 1266.27   4\r\n   8   0   1 1079.42 376.324   2\r\n  -8   0   1 1022.27 491.947   2\r\n  -8   0  -1 628.794 312.455   2\r\n  -8   0  -1 1397.56 521.519   4\r\n   8   0  -1 2213.98 488.461   7\r\n  -8   0   1 1193.98 380.515   4\r\n  -8   0  -1 615.654 389.189   6\r\n   8   0  -1 926.402 414.543   4\r\n  -8   0   2 488290. 6853.97   7\r\n  -8   0  -2 471549. 7776.41   4\r\n  -8   0   2 456503. 6298.39   4\r\n   8   0  -2 458317. 5744.42   1\r\n   8   0  -2 453708. 7069.71   7\r\n   8   0   2 458461. 5109.61   2\r\n  -8   0  -2 441064. 6044.89   6\r\n   8   0  -2 442568. 6896.29   4\r\n  -8   0   2 448686. 7489.58   2\r\n   8   0  -2 433520. 5543.54   5\r\n   8   0  -3 12412.0 1111.61   1\r\n  -8   0  -3 15679.8 1669.01   4\r\n   8   0   3 14910.7 1628.24   4\r\n   8   0   3 13612.1 1373.88   7\r\n  -8   0   3 12748.1 1245.57   4\r\n  -8   0   3 12695.1 1373.73   7\r\n   8   0  -3 12150.0 1514.38   7\r\n   8   0  -3 12716.6 1488.31   2\r\n  -8   0  -3 11930.0 1045.91   6\r\n  -8   0   3 10701.4 1393.14   2\r\n   8   0  -3 11510.6 1210.41   5\r\n   8   0   3 13731.5 852.487   2\r\n  -8   0   4 5526.05 1189.36   2\r\n   8   0  -4 6280.44 1112.15   5\r\n  -8   0  -4 6548.05 1629.18   3\r\n   8   0   4 6253.59 544.186   2\r\n   8   0  -4 4096.56 1190.92   7\r\n   8   0   4 5410.85 1221.72   4\r\n   8   0  -4 6560.10 1267.00   2\r\n   8   0  -4 5234.82 845.206   1\r\n   8   0   4 5619.14 1160.96   7\r\n  -8   0   4 5954.05 1052.93   4\r\n  -8   0   5-30.7981 643.493   2\r\n   8   0  -5-103.971 873.424   5\r\n   8   0   5 131.112 155.938   2\r\n   8   0  -5 379.621 1010.61   7\r\n   8   0   5 16.2818 144.889   2\r\n  -8   0   5-529.227 448.229   4\r\n   8   0   5-361.175 924.563   4\r\n   8   0   6 15212.7 2236.90   4\r\n  -8   0   6 13862.8 1980.68   2\r\n   8   0  -6 12929.2 2426.38   7\r\n   8   0  -6 14947.7 2122.91   5\r\n   8   0  -7 3220.16 1311.76   5\r\n   8   0  -7 2155.42 1345.08   7\r\n   8   0   7 3083.36 1166.54   4\r\n  -8   0   7 1774.80 920.417   2\r\n   8   1  -7 617.431 1109.15   7\r\n   8  -1   7 1239.06 1029.31   4\r\n  -8   1   7 1058.04 592.024   2\r\n   8   1  -7 790.290 687.868   5\r\n   8   1  -6 8463.25 1632.67   5\r\n   8   1  -6 6613.33 1805.03   7\r\n   8  -1   6 10428.1 1941.81   4\r\n  -8   1   6 7971.90 1487.63   2\r\n   8  -1   5 47992.6 2603.20   6\r\n   8  -1   5 47036.3 3521.57   4\r\n   8   1  -5 49498.5 3909.71   7\r\n  -8   1   5 44679.5 2487.05   4\r\n  -8   1   5 45926.1 3114.34   2\r\n   8   1  -5 50345.0 3069.57   5\r\n  -8  -1  -4 12407.6 1598.62   4\r\n  -8  -1  -4 12234.8 2181.20   3\r\n   8  -1   4 9893.45 1606.42   4\r\n  -8   1   4 11496.2 1169.19   4\r\n  -8   1   4 11997.8 1569.80   2\r\n   8  -1   4 9970.95 1228.74   6\r\n   8  -1   4 14445.7 1650.67   7\r\n   8   1  -4 10822.7 1643.87   2\r\n   8   1  -4 10858.0 1278.21   5\r\n   8   1  -4 8829.55 1565.28   7\r\n  -8  -1  -3 51057.3 3563.62   3\r\n  -8   1   3 49971.2 2758.44   2\r\n   8   1  -3 48706.0 1814.17   1\r\n  -8  -1  -3 48880.3 2807.91   4\r\n   8  -1   3 48298.5 2876.23   4\r\n  -8   1   3 48403.9 2010.61   4\r\n   8  -1   3 48938.1 2494.03   7\r\n  -8   1   3 50285.7 2614.76   7\r\n  -8  -1  -3 47411.3 1629.70   6\r\n   8  -1   3 44212.9 2323.19   6\r\n   8   1  -3 50053.4 2958.19   2\r\n   8   1  -3 49133.3 2869.46   7\r\n   8   1  -3 45960.7 2077.14   5\r\n  -8  -1  -2 62206.9 3273.23   3\r\n   8   1  -2 62435.2 2706.92   7\r\n  -8  -1  -2 66019.2 2883.83   4\r\n  -8   1   2 59661.3 2039.33   4\r\n   8  -1   2 64037.7 2185.08   2\r\n   8  -1   2 56532.0 2141.25   7\r\n  -8   1   2 65591.0 2846.03   2\r\n   8  -1   2 61779.8 2632.49   6\r\n  -8  -1  -2 61719.2 2119.88   6\r\n  -8   1   2 66577.0 2449.98   7\r\n   8   1  -2 60942.6 1815.24   5\r\n  -8  -1  -1 16161.1 1334.58   4\r\n  -8   1   1 16851.7 1113.99   4\r\n   8  -1   1 14677.7 1114.46   2\r\n  -8   1   1 13791.5 1256.02   2\r\n   8   1  -1 11983.1 1156.41   7\r\n  -8   1   1 14278.5 973.845   7\r\n  -8  -1  -1 15663.4 1038.93   2\r\n  -8   1   0 5041.48 710.586   4\r\n   8  -1   0 5112.40 727.585   4\r\n  -8   1   0 5666.62 792.722   2\r\n  -8  -1   0 5192.14 773.816   2\r\n  -8  -1   0 4664.27 704.121   4\r\n   8   1   0 5330.04 772.900   2\r\n  -8   1   0 4331.80 807.418   6\r\n  -8  -1   1 14966.5 1249.07   4\r\n   8  -1  -1 15726.3 1088.28   4\r\n   8  -1  -1 14281.6 1018.38   7\r\n  -8  -1   1 14014.7 1322.50   2\r\n  -8   1  -1 17354.7 1425.54   4\r\n   8   1   1 14271.9 1048.43   2\r\n  -8   1  -1 16105.6 1365.75   6\r\n   8   1   1 16806.5 1235.04   5\r\n   8  -1  -2 58475.5 2788.40   2\r\n  -8   1  -2 60721.1 2966.27   4\r\n  -8   1  -2 55714.6 2462.69   6\r\n   8  -1  -2 63309.9 2435.19   1\r\n   8   1   2 62522.3 2688.65   4\r\n  -8  -1   2 55344.1 2838.21   2\r\n   8   1   2 63751.0 1739.68   2\r\n   8   1   2 61790.8 2860.25   5\r\n   8  -1  -2 62983.4 2240.70   4\r\n   8  -1  -2 66494.0 2711.62   7\r\n  -8  -1   2 59106.0 2598.84   4\r\n   8  -1  -2 57740.5 2336.92   5\r\n   8  -1  -3 47874.8 2775.47   2\r\n   8  -1  -3 48166.0 2352.87   1\r\n   8   1   3 48697.3 2662.17   4\r\n   8  -1  -3 47496.6 2794.59   7\r\n  -8  -1   3 43594.8 2756.39   2\r\n  -8   1  -3 48053.6 2372.87   6\r\n   8   1   3 54677.4 3081.05   5\r\n  -8  -1   3 47131.4 2648.08   4\r\n   8  -1  -3 48385.5 2509.77   5\r\n   8   1   4 10759.8 1557.35   4\r\n  -8   1  -4 5101.77 1765.03   3\r\n   8  -1  -4 12400.0 1603.75   2\r\n  -8  -1   4 10093.2 1481.08   4\r\n  -8  -1   4 11271.9 1611.57   2\r\n   8  -1  -4 11836.6 1785.15   7\r\n   8  -1  -4 12227.1 1325.85   1\r\n   8  -1  -4 10404.3 1495.18   5\r\n   8   1   5 45267.2 3204.14   4\r\n   8  -1  -5 42425.6 3656.41   7\r\n  -8  -1   5 43440.3 3259.40   2\r\n   8  -1  -5 46343.2 3356.18   5\r\n  -8  -1   5 46365.4 2734.56   5\r\n   8  -1  -6 8901.13 1893.52   5\r\n  -8  -1   6 5809.39 1524.26   2\r\n   8   1   6 9349.17 1780.56   4\r\n   8  -1  -6 9488.41 2147.67   7\r\n  -8  -1   7 5155.41 1330.48   2\r\n   8  -1  -7 3462.43 1322.43   7\r\n   8   1   7 3413.37 1243.84   4\r\n  -8   2   7 5255.28 1166.60   1\r\n   8   2  -7 4839.98 1670.19   7\r\n   8  -2   7 6527.00 1879.43   4\r\n   8  -2   6 884.536 566.028   2\r\n   8   2  -6-382.796 944.027   7\r\n   8  -2   6-2648.19 1335.69   4\r\n  -8   2   6 137.582 638.190   1\r\n  -8   2   6-537.686 642.682   2\r\n  -8   2   6 289.563 624.996   6\r\n   8   2  -6 126.289 730.606   5\r\n  -8  -2  -6 817.286 955.874   5\r\n  -8   2   5 1589.35 771.496   2\r\n  -8   2   5 907.424 725.017   1\r\n   8  -2   5 1795.35 1074.56   4\r\n   8  -2   5 1245.48 801.244   6\r\n  -8   2   5 1694.24 452.610   4\r\n   8   2  -5 768.180 798.986   7\r\n  -8  -2  -5 971.592 1010.34   5\r\n   8   2  -5 1425.59 704.835   5\r\n  -8  -2  -4 21035.8 2035.19   4\r\n   8  -2   4 18638.9 2238.41   4\r\n  -8  -2  -4 18141.5 2658.61   3\r\n  -8   2   4 18271.7 1126.78   4\r\n   8  -2   4 20758.9 1932.43   6\r\n  -8   2   4 18368.1 1840.03   2\r\n   8   2  -4 18005.0 2178.88   7\r\n  -8  -2  -4 17079.0 2094.41   5\r\n  -8   2   4 18726.3 1769.18   1\r\n   8  -2   4 22433.8 1990.98   7\r\n   8   2  -4 18291.0 1458.21   5\r\n  -8  -2  -3 34445.9 2959.29   3\r\n   8   2  -3 35190.6 1264.92   1\r\n   8  -2   3 35877.2 2635.43   4\r\n  -8  -2  -3 38861.7 2463.43   4\r\n  -8   2   3 36742.1 1380.12   4\r\n  -8   2   3 32410.9 2226.27   2\r\n   8  -2   3 35878.3 2094.46   7\r\n   8   2  -3 43545.9 2755.17   7\r\n  -8  -2  -3 36992.8 1201.59   6\r\n   8  -2   3 37804.1 2434.54   6\r\n   8  -2   3 38209.8 2641.11   5\r\n  -8  -2  -3 39299.7 2692.19   5\r\n   8   2  -3 39228.5 1592.14   5\r\n  -8   2   3 37852.3 2334.16   7\r\n  -8  -2  -2 25589.2 2230.75   3\r\n   8  -2   2 30024.0 1507.94   7\r\n  -8   2   2 30708.5 2139.85   6\r\n  -8  -2  -2 31130.2 2049.26   4\r\n  -8   2   2 29239.4 1276.35   4\r\n  -8   2   2 30820.1 1712.93   7\r\n   8   2  -2 31360.5 2053.98   7\r\n  -8  -2  -2 31619.0 1231.98   2\r\n   8  -2   2 30796.1 2108.10   6\r\n  -8   2   2 31764.4 2021.44   2\r\n  -8  -2  -2 27028.0 1942.18   5\r\n   8   2  -2 28426.4 854.881   5\r\n  -8   2   1 227720. 3941.67   4\r\n   8  -2   1 238793. 5234.98   4\r\n  -8  -2  -1 242453. 5155.71   4\r\n  -8   2   1 240216. 3395.44   7\r\n  -8  -2  -1 233698. 4231.69   2\r\n  -8   2   1 238916. 5559.09   6\r\n   8  -2   1 231338. 2659.24   7\r\n  -8  -2   0 99816.9 3217.12   2\r\n  -8   2   0 100480. 3061.37   4\r\n   8  -2   0 94329.3 2853.59   4\r\n  -8  -2   0 99932.0 3314.69   4\r\n   8  -2   0 100129. 1533.52   7\r\n  -8   2   0 102329. 3601.95   6\r\n   8   2   0 99517.0 3269.58   2\r\n   8   2   0 102920. 2347.26   5\r\n  -8   2  -1 238423. 5445.17   4\r\n   8  -2  -1 231646. 3793.37   4\r\n  -8  -2   1 243286. 5336.75   4\r\n   8  -2  -1 249983. 3934.36   7\r\n   8  -2  -1 247169. 4916.34   1\r\n  -8  -2   1 232115. 5439.93   2\r\n  -8   2  -1 227211. 5395.03   6\r\n   8   2   1 238402. 5080.29   4\r\n   8   2   1 230715. 4598.38   5\r\n  -8   2  -1 237623. 5897.84   3\r\n  -8   2  -2 30091.4 2563.84   3\r\n   8  -2  -2 32246.8 1949.66   1\r\n   8   2   2 31544.1 1978.12   4\r\n  -8  -2   2 30880.9 2134.26   4\r\n   8  -2  -2 28196.0 2051.08   2\r\n  -8  -2   2 27192.2 2145.13   2\r\n  -8   2  -2 30887.8 2089.68   6\r\n   8  -2  -2 29910.7 1871.34   7\r\n   8  -2  -2 29397.0 1310.76   4\r\n   8   2   2 32580.2 2159.02   5\r\n   8  -2  -2 31332.8 1952.36   5\r\n   8  -2  -3 38362.9 2371.80   1\r\n  -8   2  -3 37034.4 3325.30   3\r\n   8   2   3 37373.4 2274.94   4\r\n  -8  -2   3 32228.6 2498.08   4\r\n  -8  -2   3 33939.0 2578.17   2\r\n  -8   2  -3 36067.7 2390.40   6\r\n   8  -2  -3 36618.0 2495.39   7\r\n   8  -2  -3 37076.8 2489.87   2\r\n   8   2   3 38071.7 2674.71   5\r\n   8  -2  -3 35081.6 2377.78   5\r\n  -8  -2   4 18465.4 2152.03   2\r\n   8   2   4 18504.0 1854.77   4\r\n   8  -2  -4 16190.9 1963.27   7\r\n   8  -2  -4 17610.4 1881.62   2\r\n   8  -2  -4 19351.4 1826.19   1\r\n   8  -2  -4 18336.9 2048.88   5\r\n  -8  -2   4 19894.4 1408.76   5\r\n   8  -2  -5 330.433 760.983   5\r\n  -8  -2   5 241.952 700.953   5\r\n  -8  -2   5 3104.15 1088.95   2\r\n   8  -2  -5-158.738 1082.71   7\r\n   8   2   5 1141.97 855.817   4\r\n   8  -2  -6 992.916 1138.94   5\r\n  -8  -2   6 610.804 949.599   2\r\n   8  -2  -6 271.861 1247.08   7\r\n   8   2   6-424.093 1015.69   4\r\n   8  -2  -7 1367.52 1390.19   5\r\n  -8  -2   7 6083.76 1595.74   2\r\n   8  -2  -7 5205.05 1835.22   7\r\n   8   2   7 5289.40 1444.20   4\r\n   8  -3   6 659.651 1442.98   4\r\n   8   3  -6 972.213 732.590   7\r\n  -8   3   6 2303.12 814.989   6\r\n  -8   3   6 1077.56 977.327   1\r\n  -8  -3  -6 261.774 889.990   5\r\n  -8  -3  -5 2088.00 1090.16   5\r\n  -8   3   5 3302.75 1163.51   1\r\n   8  -3   5 4631.65 1400.50   4\r\n   8   3  -5 2887.32 1301.80   7\r\n  -8   3   5 2275.17 894.810   6\r\n  -8  -3  -4 73440.6 4842.27   3\r\n   8  -3   4 67978.8 4279.21   4\r\n  -8  -3  -4 70830.7 3581.77   4\r\n   8  -3   4 63853.1 3160.69   7\r\n  -8   3   4 66052.0 3432.19   1\r\n  -8   3   4 68276.2 3582.71   6\r\n   8  -3   4 66273.1 3751.40   6\r\n  -8  -3  -4 66458.8 4052.93   5\r\n   8   3  -4 71556.8 4215.95   7\r\n  -8  -3  -3 7931.59 1361.32   5\r\n   8   3  -3 6544.66 375.860   1\r\n  -8   3   3 7285.11 1170.10   1\r\n   8  -3   3 6538.42 909.568   7\r\n  -8  -3  -3 7126.06 1442.85   3\r\n  -8  -3  -3 9118.46 1238.98   4\r\n   8   3  -3 7431.45 1283.61   7\r\n   8  -3   3 6619.21 1345.42   4\r\n  -8   3   3 7428.22 1163.46   7\r\n   8  -3   3 8443.35 1346.14   6\r\n  -8   3   3 7945.36 1273.80   6\r\n  -8  -3  -2 6337.59 1208.34   3\r\n  -8  -3  -2 8251.61 1131.77   4\r\n  -8   3   2 6610.15 886.918   7\r\n   8  -3   2 7912.18 700.523   7\r\n  -8  -3  -2 8829.61 831.966   2\r\n   8   3  -2 7521.83 1168.27   7\r\n   8  -3   2 8456.82 1310.73   4\r\n   8  -3   2 7495.94 1229.25   6\r\n  -8   3   2 6858.34 1117.65   6\r\n  -8  -3  -2 7928.04 1163.96   5\r\n  -8  -3  -1 1196.62 473.873   5\r\n   8  -3   1 1890.33 654.866   4\r\n  -8  -3  -1 1670.23 545.513   2\r\n  -8   3   1 1775.52 350.121   7\r\n  -8  -3  -1 2278.82 654.586   4\r\n  -8   3   1 2213.48 752.200   6\r\n   8  -3   0 131134. 3578.52   4\r\n  -8  -3   0 132806. 4102.69   4\r\n  -8   3   0 128796. 4455.42   6\r\n  -8  -3   0 124160. 3929.48   2\r\n   8  -3   0 123353. 3646.53   1\r\n   8   3   0 122599. 2536.10   5\r\n   8   3   1 1563.96 532.200   5\r\n  -8   3  -1 1370.18 621.526   3\r\n  -8  -3   1 1101.17 718.708   2\r\n   8  -3  -1 1517.16 514.754   1\r\n   8  -3  -1 2013.80 468.333   4\r\n  -8   3  -1 2041.28 745.817   6\r\n   8   3   1 1940.75 741.959   4\r\n  -8  -3   1 1529.79 541.496   4\r\n   8  -3  -2 7536.43 1169.62   5\r\n  -8   3  -2 8591.41 1564.15   3\r\n  -8  -3   2 6768.54 1239.97   2\r\n   8  -3  -2 8130.63 964.717   7\r\n   8  -3  -2 6999.15 1106.24   1\r\n  -8   3  -2 7860.35 1221.26   6\r\n   8  -3  -2 7852.10 594.841   4\r\n   8  -3  -2 8022.38 1141.28   2\r\n   8   3   2 7972.99 1132.55   4\r\n  -8  -3   2 7658.47 1254.54   4\r\n   8   3   2 7755.00 1127.62   5\r\n   8   3   3 7417.54 1346.05   5\r\n   8  -3  -3 6722.25 1260.88   5\r\n  -8   3  -3 5624.69 1584.39   3\r\n   8  -3  -3 7335.05 1181.00   7\r\n  -8   3  -3 6333.13 1163.86   6\r\n  -8  -3   3 4990.25 1196.93   2\r\n   8   3   3 6630.55 1107.98   4\r\n   8  -3  -3 9490.60 1336.99   2\r\n   8  -3  -3 6826.93 1218.63   1\r\n   8  -3  -4 62273.6 3618.02   2\r\n   8   3   4 68723.0 3390.39   4\r\n   8  -3  -4 67359.8 3905.17   7\r\n  -8  -3   4 61856.8 3986.34   2\r\n   8  -3  -4 65673.3 3901.63   5\r\n  -8  -3   4 70704.0 2188.81   5\r\n   8  -3  -5 3301.93 1201.17   5\r\n  -8  -3   5 3698.94 1000.23   2\r\n   8  -3  -5 3400.68 1350.17   7\r\n   8   3   5 3965.11 1061.93   4\r\n   8  -3  -6 2357.84 1024.20   5\r\n  -8  -3   6 1931.54 1193.67   2\r\n   8   3   6 1954.25 914.610   4\r\n  -8  -4  -6 2547.32 1027.10   5\r\n   8  -4   6 2019.97 1355.45   4\r\n  -8   4   6 2778.74 1224.83   1\r\n   8   4  -6 2243.07 1390.13   7\r\n  -8  -4  -5 1760.62 841.807   5\r\n   8  -4   5 464.036 1259.15   4\r\n   8   4  -5-96.5723 1140.84   7\r\n  -8   4   5 1986.82 767.757   6\r\n  -8   4   5 2394.71 1136.20   1\r\n  -8  -4  -4 3902.18 1261.07   5\r\n   8   4  -4 3553.77 1348.31   7\r\n  -8  -4  -4 492.350 1056.11   3\r\n  -8  -4  -4 4363.93 819.948   4\r\n   8  -4   4 5721.81 1554.51   4\r\n  -8   4   4 5193.74 1347.50   1\r\n  -8   4   4 4487.13 1136.22   6\r\n   8  -4   4 5702.46 1008.89   7\r\n  -8  -4  -3 19764.2 2316.35   3\r\n   8   4  -3 19746.0 2152.44   7\r\n   8  -4   3 21251.1 2432.49   4\r\n  -8  -4  -3 20686.7 1889.60   4\r\n  -8   4   3 22281.6 1959.77   7\r\n   8  -4   3 20983.0 1410.93   7\r\n  -8   4   3 20457.9 2015.71   1\r\n  -8  -4  -3 21071.4 1185.79   2\r\n  -8  -4  -3 21442.2 1256.50   6\r\n  -8   4   3 20119.5 2058.09   6\r\n  -8  -4  -3 19210.1 2178.10   5\r\n  -8  -4  -2 17124.3 1836.39   3\r\n   8  -4   2 18311.1 2030.63   4\r\n  -8  -4  -2 20746.7 1768.68   4\r\n  -8  -4  -2 20606.1 1487.32   2\r\n  -8   4   2 17018.0 1406.60   7\r\n   8   4  -2 18823.6 1825.34   7\r\n  -8   4   2 19892.5 2005.51   6\r\n  -8  -4  -2 20423.8 1877.08   5\r\n  -8   4   1 41006.4 1518.13   7\r\n   8  -4   1 42145.0 2595.26   4\r\n  -8  -4  -1 39227.4 2453.23   4\r\n  -8   4   1 39231.4 2761.28   6\r\n   8  -4   1 39757.2 2251.10   1\r\n  -8  -4  -1 40620.5 2327.19   2\r\n  -8  -4  -1 40732.2 2197.84   5\r\n  -8   4   0 101197. 3621.37   3\r\n   8   4   0 108268. 4453.78   4\r\n   8  -4   0 104442. 3461.82   4\r\n   8  -4   0 103697. 3695.05   1\r\n  -8   4   0 107812. 4448.04   6\r\n  -8  -4   0 103405. 4043.25   2\r\n  -8  -4   0 110484. 4092.23   4\r\n  -8  -4   0 105015. 2673.83   5\r\n   8   4   0 106336. 2430.27   5\r\n  -8   4  -1 40406.6 2711.34   3\r\n   8  -4  -1 44770.2 2581.19   1\r\n  -8  -4   1 38907.9 2740.00   2\r\n   8  -4  -1 39311.2 1758.72   4\r\n   8  -4  -1 41161.4 2519.87   2\r\n   8   4   1 40923.6 2618.90   4\r\n   8  -4  -1 41324.9 2801.53   6\r\n  -8   4  -1 38343.0 2823.66   6\r\n  -8  -4   1 42413.1 2731.07   4\r\n   8   4   1 39169.4 2056.39   5\r\n  -8   4  -2 20183.6 2324.18   3\r\n   8  -4  -2 19064.5 1848.76   2\r\n   8  -4  -2 20552.8 852.357   4\r\n   8   4   2 19900.9 1803.25   4\r\n  -8   4  -2 20043.2 2124.94   6\r\n  -8  -4   2 21252.8 2184.69   2\r\n   8   4   2 20404.7 1828.76   5\r\n   8  -4  -2 20637.2 1958.33   5\r\n  -8  -4   3 19446.6 2314.09   2\r\n   8   4   3 19259.1 1823.76   4\r\n   8  -4  -3 22168.5 2248.72   5\r\n   8   4   4 5618.99 1228.90   4\r\n   8  -4  -4 5262.53 1431.63   5\r\n  -8  -4   4 4234.66 1358.34   2\r\n   8  -4  -5 557.101 1063.13   5\r\n  -8  -4   5 1689.37 1044.24   2\r\n   8   4   5 2533.04 766.129   4\r\n   8  -4  -6 2853.07 1605.17   5\r\n  -8  -4   6 5021.05 1371.70   2\r\n  -8  -5  -6 4109.23 1739.84   5\r\n   8  -5   6-715.017 1588.24   4\r\n   8   5  -6 5081.86 1572.96   7\r\n  -8   5   6 1944.07 1248.33   1\r\n  -8  -5  -5 2999.93 1200.73   5\r\n   8  -5   5 2415.33 1361.91   4\r\n  -8   5   5 4908.62 1018.85   6\r\n   8   5  -5 4306.64 1325.81   7\r\n  -8   5   5 3803.47 1291.98   1\r\n  -8  -5  -4 1815.40 972.191   5\r\n   8  -5   4 169.223 813.615   4\r\n   8   5  -4 1147.45 756.338   7\r\n  -8  -5  -4 508.885 653.648   4\r\n  -8   5   4 625.665 785.041   1\r\n  -8   5   4 729.777 768.794   6\r\n   8   5  -3 24104.2 2455.04   7\r\n  -8  -5  -3 24076.1 2494.63   3\r\n   8  -5   3 24318.7 2703.31   4\r\n  -8  -5  -3 24938.2 2095.34   4\r\n  -8   5   3 27361.5 2272.35   7\r\n   8  -5   3 22936.3 1772.14   1\r\n  -8   5   3 21707.9 2269.40   6\r\n  -8  -5  -3 26035.6 1662.25   2\r\n  -8   5   3 24326.2 2331.64   1\r\n  -8  -5  -3 25812.2 1672.31   6\r\n  -8  -5  -3 23279.9 2390.31   5\r\n  -8  -5  -2 27882.4 2274.30   3\r\n   8  -5   2 25796.8 2540.64   4\r\n  -8  -5  -2 27022.1 2121.80   4\r\n   8  -5   2 25362.1 1960.66   1\r\n  -8   5   2 27198.2 1851.21   7\r\n  -8  -5  -2 28442.4 2072.06   2\r\n  -8   5   2 25545.6 2463.27   6\r\n   8   5  -2 29678.0 2494.43   7\r\n  -8  -5  -2 27836.5 2326.28   5\r\n   8   5  -2 25552.0 1312.69   1\r\n   8  -5   1 23396.8 2145.54   4\r\n   8  -5   1 25866.3 1987.32   1\r\n  -8  -5  -1 21441.5 1934.05   4\r\n  -8   5   1 24657.3 1307.38   7\r\n  -8   5   1 23128.9 2361.60   6\r\n  -8  -5  -1 24460.9 1887.92   5\r\n  -8  -5   0 445.627 414.610   5\r\n  -8   5   0 525.086 465.264   3\r\n   8  -5   0 649.470 547.115   1\r\n   8  -5   0 928.518 489.697   4\r\n  -8   5   0 1229.63 681.476   6\r\n  -8  -5   0 1155.08 710.532   4\r\n  -8   5  -1 23285.3 2226.77   3\r\n   8  -5  -1 26113.5 1593.33   4\r\n   8   5   1 17868.2 2155.29   4\r\n  -8   5  -1 21596.3 2394.71   6\r\n  -8  -5   1 22177.8 855.118   5\r\n  -8  -5   1 24585.5 2476.32   2\r\n   8   5   1 23936.6 1680.99   5\r\n  -8  -5   2 29747.8 2847.35   2\r\n   8  -5  -2 26191.2 997.311   4\r\n   8   5   2 28345.0 2401.40   4\r\n  -8   5  -2 22274.8 2512.25   6\r\n   8   5   2 25334.2 2102.00   5\r\n   8  -5  -2 27857.4 2430.90   5\r\n  -8   5  -3 26364.0 1740.08   7\r\n   8   5   3 24563.1 2195.66   4\r\n  -8  -5   3 23753.2 2728.50   2\r\n   8  -5  -3 23822.4 2439.38   5\r\n   8  -5  -4-274.243 1027.17   5\r\n  -8  -5   4-1772.05 1140.37   2\r\n   8   5   4 639.016 672.002   4\r\n  -8   5  -4 1048.75 571.445   7\r\n   8  -5  -5 2755.43 1272.51   5\r\n  -8  -5   5 4673.55 1264.52   2\r\n   8   5   5 3231.03 927.577   4\r\n   8  -5  -6 6363.11 1746.42   5\r\n  -8  -5   6 5437.35 1562.27   2\r\n   8   5   6 4028.34 1539.05   1\r\n  -8  -6  -5-3620.49 1465.53   5\r\n   8   6  -5-72.6462 967.708   7\r\n   8  -6   5-2453.60 1624.30   4\r\n  -8   6   5 515.378 1086.71   1\r\n  -8  -6  -4 2502.25 1232.75   5\r\n   8  -6   4 2670.11 1307.92   4\r\n  -8   6   4 1868.49 1180.03   1\r\n   8   6  -4 874.400 880.177   7\r\n  -8   6   4 494.638 513.141   6\r\n  -8  -6  -3 2502.04 978.987   5\r\n   8   6  -3 1194.75 952.792   7\r\n   8  -6   3 1111.52 639.465   1\r\n  -8  -6  -3 1382.01 892.122   3\r\n  -8   6   3 3412.29 914.901   7\r\n  -8   6   3 2856.38 1117.54   6\r\n   8  -6   3 1459.82 1284.67   4\r\n  -8  -6  -3 2302.21 841.362   4\r\n  -8  -6  -3 2085.06 714.156   2\r\n  -8   6   3 1275.26 824.065   1\r\n  -8  -6  -2 4438.67 1172.28   5\r\n  -8  -6  -2 5369.54 1153.33   3\r\n   8   6  -2 5267.57 734.902   1\r\n   8  -6   2 6115.91 1504.20   4\r\n  -8   6   2 5520.25 972.471   7\r\n   8   6  -2 5817.63 1444.27   7\r\n  -8  -6  -2 5766.59 1202.57   4\r\n  -8  -6  -2 5730.90 1070.12   6\r\n  -8   6   2 5491.24 1415.21   6\r\n  -8   6   1 28346.1 1596.84   3\r\n   8  -6   1 27660.3 2554.77   4\r\n  -8   6   1 30012.2 1589.04   7\r\n  -8   6   1 23037.1 2602.67   6\r\n  -8  -6  -1 25622.4 2099.75   5\r\n   8   6  -1 27029.1 1868.86   1\r\n  -8   6   0 19535.7 1691.83   3\r\n   8   6   0 16168.9 1646.04   1\r\n   8  -6   0 17051.0 1772.92   4\r\n  -8   6   0 16146.1 2286.87   6\r\n  -8  -6   0 16571.3 1429.37   5\r\n   8  -6  -1 28834.6 1874.02   4\r\n  -8   6  -1 26954.5 2857.18   6\r\n  -8  -6   1 30186.4 1359.18   5\r\n   8  -6  -2 5935.90 603.355   4\r\n   8  -6  -2 4980.84 1278.44   5\r\n   8  -6  -2 5427.40 539.112   4\r\n  -8   6  -2 6142.66 564.476   7\r\n  -8  -6   2 5765.66 1500.15   2\r\n   8   6   2 5344.16 1374.40   4\r\n   8  -6  -3 632.580 911.449   5\r\n  -8   6  -3 1800.27 530.013   7\r\n  -8  -6   3 2879.18 1362.11   2\r\n   8   6   3 499.126 845.711   4\r\n   8  -6  -4 2957.01 1219.68   5\r\n  -8   6  -4 1143.02 593.887   7\r\n   8   6   4 667.912 1013.67   1\r\n  -8  -6   4 1858.10 1127.19   2\r\n   8   6   4 935.502 777.287   4\r\n   8  -6  -5 1354.28 964.267   5\r\n   8   6   5 915.014 721.909   1\r\n  -8  -7  -4 4674.76 1405.36   5\r\n   8  -7   4 4509.03 1813.28   4\r\n   8   7  -4 3761.11 1375.25   7\r\n  -8   7   4 6715.37 1664.00   1\r\n  -8   7   4 6601.12 1499.04   6\r\n  -8  -7  -3 5703.27 1417.94   5\r\n   8  -7   3 6167.72 1862.47   4\r\n  -8   7   3 5878.96 1457.31   1\r\n  -8   7   3 4509.09 1550.10   6\r\n   8   7  -3 3932.22 1252.27   7\r\n  -8  -7  -3 5065.56 1181.31   2\r\n  -8  -7  -2 13117.8 1915.61   5\r\n   8   7  -2 15397.3 1291.75   1\r\n   8   7  -2 16122.3 2084.43   7\r\n   8  -7   2 14165.3 2345.42   4\r\n  -8   7   2 13426.4 2203.96   6\r\n  -8  -7  -1 775.603 596.184   5\r\n   8   7  -1 610.240 467.503   1\r\n   8  -7   1 1097.66 863.553   4\r\n  -8   7   1 624.311 789.973   6\r\n  -8  -7   0 3897.50 859.606   5\r\n  -8   7   0 4799.65 1280.77   6\r\n   8   7   0 4906.85 1030.97   1\r\n   8  -7   0 3771.64 983.886   4\r\n  -8  -7   1 661.266 253.030   5\r\n   8  -7  -1 162.591 568.117   4\r\n   8   7   1 1125.13 718.930   1\r\n   8  -7  -2 15548.2 2303.47   5\r\n  -8  -7   2 18510.2 2733.36   2\r\n   8   7   2 16525.4 2207.93   1\r\n   8  -7  -3 7228.87 1759.65   5\r\n   8   7   3 3985.86 1270.52   1\r\n  -8  -7   3 6888.30 1808.26   2\r\n   8  -7  -4 5905.04 1563.96   5\r\n   8   7   4 3893.15 1499.19   1\r\n  -8  -7   4 4364.76 1677.30   2\r\n  -8  -8  -3 666.035 665.009   5\r\n   8  -8   3 85.3721 1232.80   4\r\n   8   8  -3-948.553 1011.96   7\r\n  -8   8   3-448.170 557.098   6\r\n  -8  -8  -2-134.301 561.124   5\r\n   8  -8   2 765.113 1256.32   4\r\n   8   8  -2 135.050 1046.34   7\r\n  -8   8   2-286.737 1120.78   6\r\n  -8  -8  -1 7385.84 1486.44   5\r\n   8  -8   1 9976.40 1819.99   4\r\n   8   8  -1 8243.69 1292.21   1\r\n  -8  -8   0 7550.76 1182.34   5\r\n   8   8   0 7866.31 1411.84   1\r\n   8  -8   0 8551.20 1483.64   4\r\n   8  -8  -1 8581.55 1937.96   5\r\n   8   8   1 7896.78 1620.19   1\r\n   8  -8  -2 165.860 846.985   5\r\n  -8  -8   2 1150.97 1374.45   2\r\n   8   8   2 1185.90 1020.13   1\r\n   8  -8  -3 21.0683 422.458   5\r\n  -8  -8   3 551.148 1105.65   2\r\n   8   8   3 1375.96 1085.87   1\r\n   8  -9   1 3871.20 1390.55   4\r\n   8   9  -1 1984.91 1333.62   7\r\n   8  -9   0-1114.40 993.586   5\r\n   8   9   0 632.652 886.838   1\r\n   8  -9  -1 672.593 1055.04   5\r\n   8   9   1 3724.38 1288.04   1\r\n   9   0   0-495.965 377.623   2\r\n  -9   0   0-153.904 217.827   4\r\n  -9   0   0-182.844 436.887   2\r\n  -9   0   1 2810.13 739.719   2\r\n   9   0   1 3691.88 629.681   2\r\n  -9   0  -1 3808.94 793.492   4\r\n   9   0  -1 2484.31 611.377   7\r\n  -9   0   1 2491.36 534.002   4\r\n  -9  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4\r\n  -9   0   4 13096.5 1494.36   4\r\n  -9   0   4 13281.3 1730.86   2\r\n   9   0   4 14579.7 853.986   2\r\n   9   0  -4 14620.2 1892.74   7\r\n   9   0  -4 13382.9 1554.65   5\r\n   9   0  -4 13801.4 1288.49   1\r\n  -9   0   5 444.535 635.222   2\r\n   9   0  -5 62.6454 602.533   5\r\n   9   0  -5 494.056 767.012   7\r\n   9   0   5 1068.02 999.328   4\r\n  -9   0   5 556.958 507.589   4\r\n   9   0  -6 1591.14 896.864   5\r\n   9   0  -6-119.597 1185.30   7\r\n   9   0   6-72.1309 870.440   4\r\n  -9   0   6 524.693 724.529   2\r\n   9   0  -7-645.773 752.877   5\r\n   9   0  -7-1705.81 1384.71   7\r\n   9   0   7 209.607 626.896   4\r\n  -9   0   7 305.237 577.722   2\r\n   9   1  -7 2650.37 1081.00   5\r\n   9   1  -7 2678.84 1590.16   7\r\n  -9   1   7 5321.44 1147.81   2\r\n   9  -1   7 1397.46 1409.18   4\r\n   9   1  -6 7064.57 1556.75   5\r\n   9  -1   6 7136.20 1716.51   4\r\n   9   1  -6 7600.11 1971.36   7\r\n  -9   1   6 9699.69 1559.77   2\r\n   9   1  -5 6878.55 1357.36   5\r\n   9  -1   5 6277.13 1610.12   4\r\n   9   1  -5 7074.46 1782.84   7\r\n   9  -1   5 7455.81 1180.11   6\r\n  -9   1   5 7116.74 1069.62   4\r\n  -9   1   5 6661.27 1410.11   2\r\n  -9  -1  -4 19328.4 2799.20   3\r\n   9   1  -4 22004.0 2362.84   7\r\n  -9  -1  -4 24656.9 2357.47   4\r\n   9  -1   4 19203.7 2209.85   4\r\n  -9   1   4 21752.4 1583.79   4\r\n   9  -1   4 22383.3 2053.57   7\r\n  -9   1   4 21049.0 2101.57   2\r\n   9  -1   4 22112.4 1803.94   6\r\n   9   1  -4 22639.7 1808.71   5\r\n   9   1  -4 22044.7 1407.95   1\r\n  -9  -1  -3 28244.3 2726.90   3\r\n   9   1  -3 26830.5 1453.86   1\r\n  -9  -1  -3 28006.2 2226.95   4\r\n   9  -1   3 25370.0 2184.28   4\r\n   9  -1   3 26627.7 1509.62   2\r\n  -9   1   3 23272.6 1496.77   4\r\n   9   1  -3 22126.6 2108.76   7\r\n  -9   1   3 28078.3 1968.28   7\r\n  -9   1   3 26079.6 2098.56   2\r\n  -9  -1  -3 26628.5 1416.43   6\r\n   9   1  -3 26639.9 2300.65   2\r\n   9  -1   3 28620.3 1975.39   6\r\n   9  -1   3 25486.3 1828.57   7\r\n   9   1  -3 25302.6 1569.32   5\r\n  -9  -1  -2 820.857 776.520   3\r\n   9   1  -2 285.838 265.660   5\r\n   9  -1   2 507.092 374.284   7\r\n   9  -1   2 323.906 390.330   2\r\n  -9  -1  -2 1368.53 483.202   4\r\n   9   1  -2 373.677 642.342   7\r\n  -9   1   2 540.503 446.868   7\r\n  -9   1   2 534.431 290.792   4\r\n  -9  -1  -2 687.574 278.783   2\r\n  -9  -1  -2 672.765 436.550   6\r\n   9  -1   2 719.732 493.089   6\r\n  -9   1   2 1020.35 759.115   2\r\n   9   1  -2 652.900 648.398   4\r\n   9   1  -1 1702.69 661.937   7\r\n  -9  -1  -1 1535.14 620.700   4\r\n  -9   1   1 1926.52 504.691   4\r\n  -9   1   1 1356.07 627.448   2\r\n   9  -1   1 2054.95 547.347   2\r\n  -9  -1  -1 2151.57 472.568   2\r\n  -9   1   0 27396.6 1648.71   4\r\n   9  -1   0 25175.9 1544.64   4\r\n  -9  -1   0 26953.9 1705.53   4\r\n  -9   1   0 25283.5 1586.99   2\r\n   9   1   0 26741.2 1683.92   2\r\n  -9  -1   0 27838.1 1684.63   2\r\n  -9   1   0 28219.6 1923.73   6\r\n  -9  -1   1 1406.60 591.415   2\r\n   9  -1  -1 1089.83 415.389   7\r\n  -9   1  -1 2286.47 672.712   4\r\n  -9  -1   1 1730.24 511.628   4\r\n   9  -1  -1 893.700 478.067   4\r\n   9   1   1 1786.67 492.077   2\r\n  -9   1  -1 1398.09 548.795   6\r\n   9   1   1 1826.38 510.681   5\r\n   9   1   2 822.399 474.694   5\r\n  -9  -1   2 343.656 619.284   2\r\n   9  -1  -2 565.829 441.232   5\r\n   9   1   2 360.270 313.717   2\r\n  -9   1  -2 476.901 402.000   4\r\n   9   1   2 352.460 525.348   4\r\n   9  -1  -2 333.040 481.132   7\r\n  -9   1  -2 419.044 481.429   6\r\n  -9  -1   2 551.781 421.597   4\r\n   9  -1  -2 374.715 347.847   1\r\n   9  -1  -2 797.358 438.297   4\r\n   9  -1  -3 29211.6 1891.36   1\r\n   9  -1  -3 26700.9 2155.23   2\r\n   9   1   3 27557.4 2136.23   4\r\n   9  -1  -3 23091.6 2049.67   7\r\n  -9  -1   3 26288.5 2010.25   4\r\n  -9  -1   3 25705.7 2062.27   7\r\n  -9  -1   3 25716.1 2219.89   2\r\n  -9   1  -3 24134.9 1786.14   6\r\n   9   1   3 24139.0 853.832   2\r\n   9   1   3 26953.1 2272.12   5\r\n   9  -1  -3 26844.1 1951.99   5\r\n  -9   1  -4 21532.6 2966.41   3\r\n   9   1   4 20788.0 2135.59   4\r\n  -9  -1   4 21772.3 2110.80   4\r\n   9  -1  -4 25613.0 2400.33   2\r\n   9  -1  -4 19621.7 2249.65   7\r\n  -9  -1   4 21815.9 2276.96   2\r\n   9  -1  -4 20751.9 2054.26   5\r\n   9  -1  -4 22505.9 1826.06   1\r\n   9  -1  -5 8784.61 1672.40   5\r\n  -9  -1   5 9453.24 1799.14   2\r\n   9   1   5 8286.89 1577.22   4\r\n   9  -1  -5 8357.33 1908.55   7\r\n   9  -1  -6 6351.56 1508.19   5\r\n  -9  -1   6 6379.87 1415.35   2\r\n   9  -1  -6 6416.07 1810.67   7\r\n   9   1   6 6187.95 1556.65   4\r\n  -9  -1   7 2555.59 975.812   2\r\n   9  -1  -7 5520.80 1490.53   5\r\n   9  -1  -7 1732.91 1327.73   7\r\n   9   1   7 3312.67 1388.16   4\r\n   9   2  -7-65.1027 1176.29   7\r\n   9  -2   7 26.3694 1134.94   4\r\n  -9   2   7-456.598 532.312   2\r\n   9   2  -6 2253.34 1003.52   7\r\n   9  -2   6 1777.71 1255.25   4\r\n  -9   2   6 2353.07 766.261   2\r\n  -9   2   6-635.008 664.127   6\r\n  -9  -2  -6 1300.78 858.201   5\r\n   9   2  -6 128.229 856.818   5\r\n   9   2  -5 9082.10 1794.06   7\r\n  -9   2   5 8221.14 843.666   4\r\n   9  -2   5 7931.51 1785.13   4\r\n  -9   2   5 8296.65 1414.89   2\r\n   9  -2   5 9784.47 1487.79   6\r\n   9   2  -5 9150.27 1285.65   5\r\n  -9  -2  -5 8027.80 1691.08   5\r\n   9   2  -4 1498.44 546.670   5\r\n  -9  -2  -4 2318.88 1199.11   3\r\n   9  -2   4 1382.09 805.478   7\r\n  -9  -2  -4 653.014 707.254   4\r\n   9  -2   4 1466.68 993.614   4\r\n   9   2  -4 1011.68 842.259   7\r\n  -9   2   4 823.129 354.502   4\r\n  -9   2   4 1041.00 696.155   2\r\n   9  -2   4 1262.55 623.138   6\r\n  -9  -2  -4 1619.06 888.557   5\r\n  -9  -2  -3 9449.69 1835.62   3\r\n   9   2  -3 11059.3 816.316   1\r\n  -9  -2  -3 13138.0 1534.38   4\r\n   9  -2   3 10576.1 1628.48   4\r\n  -9   2   3 8523.65 772.789   4\r\n   9  -2   3 9872.95 1169.36   7\r\n  -9   2   3 10828.1 1408.37   2\r\n  -9  -2  -3 9920.58 778.176   6\r\n  -9   2   3 10469.7 1294.95   7\r\n   9  -2   3 8821.15 1331.69   6\r\n   9   2  -3 10529.6 1528.38   7\r\n  -9  -2  -3 10593.7 1542.88   5\r\n   9   2  -3 11017.9 871.625   5\r\n  -9  -2  -2 43680.9 2917.84   3\r\n  -9  -2  -2 39638.0 2434.43   4\r\n  -9   2   2 42717.2 1692.41   4\r\n   9  -2   2 45830.4 1855.86   7\r\n  -9   2   2 44186.3 2432.17   2\r\n  -9   2   2 41476.9 1959.78   7\r\n   9   2  -2 44054.4 2518.67   7\r\n  -9  -2  -2 43217.8 1577.64   2\r\n   9  -2   2 38114.7 2465.14   6\r\n  -9   2   2 41420.1 2600.80   6\r\n  -9  -2  -2 45875.0 2518.03   5\r\n   9   2  -2 43520.0 1113.13   5\r\n   9  -2   1 22743.2 1903.78   6\r\n  -9   2   1 23012.8 1410.65   4\r\n   9  -2   1 24555.9 1818.16   4\r\n  -9  -2  -1 28085.3 1902.95   4\r\n   9  -2   1 24727.9 947.310   7\r\n   9  -2   1 26563.8 1744.20   2\r\n  -9   2   1 25983.7 1203.45   7\r\n  -9  -2  -1 24843.0 1522.73   2\r\n  -9   2   1 24137.4 1967.42   6\r\n   9   2  -1 25892.5 865.769   5\r\n  -9   2   0 112581. 3422.80   4\r\n   9   2   0 120473. 3769.73   2\r\n   9  -2   0 112550. 3255.51   4\r\n  -9   2   0 108916. 3898.81   6\r\n  -9  -2   0 111503. 3678.35   4\r\n   9  -2   0 111166. 1809.78   7\r\n  -9  -2   0 113765. 3580.08   2\r\n   9   2   0 113519. 2623.10   5\r\n  -9   2  -1 25073.6 1901.13   4\r\n   9  -2  -1 26516.7 1437.10   4\r\n  -9  -2   1 25671.8 1855.22   4\r\n   9  -2  -1 26098.8 1364.75   7\r\n  -9  -2   1 26569.8 2003.42   2\r\n  -9   2  -1 25146.0 1949.10   6\r\n   9   2   1 24597.2 1562.71   2\r\n   9  -2  -1 28601.0 1780.74   1\r\n   9   2   1 24330.6 1607.80   5\r\n  -9   2  -2 44869.9 3143.08   3\r\n   9  -2  -2 42468.4 2510.96   2\r\n   9  -2  -2 43669.9 2353.58   1\r\n   9   2   2 41859.8 2371.16   4\r\n  -9  -2   2 44629.3 2593.65   4\r\n  -9  -2   2 47197.9 2823.36   2\r\n  -9   2  -2 43062.3 2527.53   6\r\n   9  -2  -2 43082.9 1722.60   4\r\n   9   2   2 43983.5 2542.97   5\r\n   9  -2  -2 44263.3 2312.64   7\r\n   9  -2  -3 11545.6 1457.79   2\r\n   9  -2  -3 12136.7 1410.95   1\r\n   9   2   3 10967.6 1555.68   5\r\n   9  -2  -3 11573.1 1539.41   7\r\n  -9   2  -3 10538.9 1937.08   3\r\n   9   2   3 10530.2 1358.26   4\r\n  -9  -2   3 8913.00 1523.01   2\r\n  -9  -2   3 10113.1 1432.28   4\r\n  -9   2  -3 12881.8 1532.96   6\r\n   9  -2  -3 11029.2 1404.22   5\r\n   9  -2  -4 1071.97 937.883   5\r\n  -9  -2   4 995.556 923.174   2\r\n  -9   2  -4 171.864 1503.81   3\r\n   9   2   4 1406.00 814.802   4\r\n   9  -2  -4 2702.72 787.926   1\r\n   9  -2  -4 836.702 708.675   7\r\n   9  -2  -5 7305.23 1674.67   7\r\n   9  -2  -5 7248.22 1550.97   5\r\n  -9  -2   5 7902.61 1630.21   2\r\n   9   2   5 8502.75 1611.22   4\r\n   9  -2  -6 289.455 1090.44   5\r\n  -9  -2   6 1505.06 1047.68   2\r\n   9  -2  -6 1095.01 789.618   7\r\n   9   2   6 1833.12 1083.45   4\r\n   9  -2  -7-855.707 1160.56   5\r\n  -9  -2   7 1444.42 889.956   2\r\n   9   2   7-1253.60 1130.18   4\r\n  -9   3   6 6029.13 1288.65   1\r\n   9  -3   6 5373.04 1755.89   4\r\n   9   3  -6 3879.90 1357.01   7\r\n  -9   3   6 5324.24 1283.78   6\r\n  -9  -3  -6 7484.81 1870.78   5\r\n   9  -3   5 5000.11 1529.64   4\r\n  -9   3   5 4220.24 1174.10   1\r\n   9   3  -5 4120.03 1510.69   7\r\n  -9   3   5 2969.61 985.825   6\r\n  -9  -3  -5 4695.76 1403.14   5\r\n  -9  -3  -4 3116.43 1122.09   5\r\n  -9  -3  -4 3646.91 1560.67   3\r\n  -9   3   4 4771.03 1225.48   1\r\n  -9  -3  -4 3087.83 984.921   4\r\n   9  -3   4 3969.51 1461.04   4\r\n   9  -3   4 3055.91 955.994   7\r\n   9   3  -4 3187.85 1255.01   7\r\n  -9   3   4 3479.53 1103.09   6\r\n  -9  -3  -3 2787.82 1126.90   3\r\n  -9   3   3 2499.59 330.011   4\r\n   9   3  -3 2855.52 353.558   1\r\n  -9  -3  -3 2835.56 752.351   4\r\n  -9  -3  -3 2891.32 295.330   2\r\n   9  -3   3 2706.78 1011.35   4\r\n   9  -3   3 3000.57 713.573   7\r\n  -9   3   3 3282.74 831.471   7\r\n   9   3  -3 1847.13 918.109   7\r\n   9  -3   3 2754.96 911.159   6\r\n  -9  -3  -3 3521.87 1030.08   5\r\n  -9   3   3 3092.11 983.169   6\r\n  -9  -3  -2 8124.04 1370.73   3\r\n  -9   3   2 7184.46 706.229   4\r\n   9  -3   2 9474.07 1423.19   4\r\n  -9  -3  -2 9176.26 1254.00   4\r\n   9  -3   2 9153.08 738.902   7\r\n  -9   3   2 7606.31 922.592   7\r\n  -9  -3  -2 7769.21 831.629   2\r\n   9  -3   2 8849.47 1386.74   6\r\n  -9   3   2 7520.62 1261.82   6\r\n  -9  -3  -2 7986.62 1170.66   5\r\n   9   3  -2 8592.01 1284.02   7\r\n  -9   3   1 39875.3 1361.88   7\r\n  -9   3   1 35302.6 1830.32   4\r\n   9  -3   1 38831.7 2354.80   4\r\n  -9  -3  -1 40570.7 2385.51   4\r\n  -9  -3  -1 37268.6 2021.53   2\r\n  -9   3   1 39557.4 2599.15   6\r\n  -9  -3  -1 37626.3 1966.59   5\r\n   9  -3   0 5140.79 844.145   1\r\n   9  -3   0 5358.76 867.096   4\r\n  -9  -3   0 7667.46 1115.16   2\r\n  -9  -3   0 5633.00 969.818   4\r\n  -9   3   0 4850.58 1052.36   6\r\n   9   3   0 5337.28 625.227   5\r\n  -9   3  -1 39282.1 2641.81   3\r\n   9  -3  -1 38331.5 1696.21   4\r\n   9  -3  -1 38420.8 2275.94   1\r\n  -9  -3   1 34144.8 2360.20   4\r\n   9   3   1 37719.2 2366.98   4\r\n  -9  -3   1 37694.7 2506.56   2\r\n  -9   3  -1 37626.0 2584.82   6\r\n   9  -3  -1 38864.1 1501.74   7\r\n   9   3   1 37883.2 2032.48   5\r\n   9  -3  -2 9361.67 1223.01   1\r\n  -9   3  -2 8564.08 1585.03   3\r\n   9  -3  -2 8303.88 1004.17   7\r\n   9  -3  -2 8660.16 706.832   4\r\n  -9  -3   2 8470.72 1328.05   2\r\n  -9   3  -2 7492.73 1226.54   6\r\n   9   3   2 8089.62 1201.05   4\r\n  -9  -3   2 7750.30 1248.30   4\r\n   9   3   2 7717.67 1116.44   5\r\n   9  -3  -2 8290.06 1229.21   2\r\n   9  -3  -3 2302.47 881.064   2\r\n   9  -3  -3 2326.03 825.554   5\r\n  -9   3  -3 2529.31 1200.70   3\r\n  -9  -3   3 3049.65 1105.30   2\r\n   9  -3  -3 1539.67 732.667   7\r\n  -9   3  -3 3046.94 934.800   6\r\n   9   3   3 3147.77 873.907   4\r\n   9  -3  -4 3241.08 1204.59   5\r\n  -9  -3   4 5553.49 1326.07   2\r\n   9  -3  -4 5081.72 1372.52   7\r\n   9   3   4 3656.60 1079.71   4\r\n   9  -3  -5 4061.67 1343.44   5\r\n  -9  -3   5 3951.90 1231.02   2\r\n   9  -3  -5 3394.05 1155.74   7\r\n   9   3   5 3599.13 1136.84   4\r\n   9  -3  -6 4754.19 1384.10   5\r\n  -9  -3   6 4956.45 1497.95   2\r\n   9   3   6 4466.41 1305.43   4\r\n  -9   4   6 2423.24 899.937   1\r\n   9   4  -6 1826.04 1516.15   7\r\n   9  -4   6 2518.60 1406.17   4\r\n  -9  -4  -6 2293.67 1228.45   5\r\n  -9  -4  -5 4298.15 1361.35   5\r\n   9   4  -5 3754.86 1380.02   7\r\n   9  -4   5 3631.64 1217.57   4\r\n  -9   4   5 3921.10 1066.35   6\r\n  -9   4   5 3154.68 1111.19   1\r\n   9  -4   4 17720.8 2422.50   4\r\n  -9  -4  -4 17164.1 1943.44   4\r\n  -9  -4  -4 16604.7 2581.16   3\r\n   9   4  -4 14971.9 2131.44   7\r\n   9  -4   4 18176.0 1617.72   7\r\n  -9   4   4 14625.2 1943.63   1\r\n  -9   4   4 19590.2 2166.29   6\r\n  -9  -4  -4 18598.4 2362.17   5\r\n  -9  -4  -3 46328.7 3466.83   3\r\n   9  -4   3 43697.3 3324.54   4\r\n  -9  -4  -3 42221.3 2757.16   4\r\n  -9   4   3 41511.0 2597.32   7\r\n  -9  -4  -3 42944.5 1671.59   2\r\n  -9   4   3 39062.4 2870.12   6\r\n   9  -4   3 40722.1 1885.36   7\r\n   9   4  -3 41183.8 2981.06   7\r\n  -9  -4  -3 38751.7 2980.03   5\r\n  -9  -4  -2 7780.47 1276.15   5\r\n  -9  -4  -2 8432.24 1429.06   3\r\n  -9   4   2 6651.81 1324.58   6\r\n  -9  -4  -2 10114.1 1272.63   4\r\n  -9   4   2 7976.85 986.323   7\r\n   9  -4   2 7460.78 1417.46   4\r\n   9   4  -2 8304.14 1402.95   7\r\n  -9  -4  -2 8193.56 978.075   2\r\n   9  -4   1 38357.7 2548.22   4\r\n  -9  -4  -1 40598.9 2568.77   4\r\n  -9   4   1 41991.7 1414.66   7\r\n   9  -4   1 42901.2 2401.76   1\r\n  -9   4   1 36298.7 2705.24   6\r\n  -9  -4  -1 44441.4 2479.18   2\r\n   9  -4   1 40164.9 2945.37   6\r\n  -9  -4  -1 41592.3 2254.37   5\r\n  -9  -4   0 1204.49 809.741   2\r\n   9   4   0 1161.45 344.349   5\r\n   9  -4   0 1087.91 585.881   4\r\n  -9   4   0 563.082 678.001   6\r\n  -9  -4   0 810.437 580.223   4\r\n   9  -4   0 1518.86 580.775   1\r\n   9  -4   0 1238.51 737.708   6\r\n   9   4   0 1396.08 793.075   4\r\n  -9  -4   0 1097.41 412.341   5\r\n  -9   4  -1 41863.2 2857.58   3\r\n   9  -4  -1 42090.3 2568.85   1\r\n   9  -4  -1 43645.4 1937.53   4\r\n   9  -4  -1 45764.4 2780.67   2\r\n  -9  -4   1 40052.7 2713.58   4\r\n  -9  -4   1 46052.5 3043.01   2\r\n   9   4   1 33954.5 2513.02   4\r\n  -9   4  -1 42644.3 2972.67   6\r\n   9  -4  -1 44385.8 2987.66   6\r\n   9   4   1 41454.5 2134.20   5\r\n   9  -4  -2 8194.67 1318.04   5\r\n  -9   4  -2 6060.03 1458.25   3\r\n   9  -4  -2 7867.45 633.322   4\r\n   9   4   2 8340.78 1260.05   4\r\n  -9  -4   2 7269.50 1460.36   2\r\n  -9   4  -2 8759.82 1469.98   6\r\n   9   4   2 8027.56 1237.29   5\r\n   9   4   3 40031.1 2662.87   4\r\n  -9   4  -3 39639.8 3134.50   6\r\n  -9  -4   3 39647.4 3280.53   2\r\n   9  -4  -3 38362.0 2931.32   5\r\n   9   4   4 16922.8 1841.39   4\r\n  -9  -4   4 18452.3 2464.26   2\r\n   9  -4  -4 17423.2 2310.95   5\r\n   9  -4  -5 2294.15 1125.29   5\r\n  -9  -4   5 2092.72 1110.49   2\r\n   9   4   5 3168.21 920.748   4\r\n   9  -4  -6-1168.82 1141.18   5\r\n  -9  -4   6 2070.67 1091.03   2\r\n   9   4   6 450.642 771.280   4\r\n  -9  -5  -6 4482.04 1316.88   5\r\n   9  -5   6 1119.03 1477.40   4\r\n   9   5  -6 2420.24 1508.04   7\r\n  -9   5   6 1607.42 1150.03   1\r\n  -9  -5  -5 404.968 939.927   5\r\n   9  -5   5-1301.01 1106.07   4\r\n   9   5  -5-2919.42 1242.94   7\r\n  -9   5   5 1349.89 699.638   6\r\n  -9   5   5 3563.79 1057.87   1\r\n  -9  -5  -4 4232.53 1281.55   5\r\n  -9   5   4 6339.70 1436.50   1\r\n   9  -5   4 5747.08 1726.11   4\r\n  -9   5   4 6366.15 1326.07   6\r\n   9   5  -4 6885.19 1530.64   7\r\n  -9  -5  -3 3048.80 1051.26   5\r\n  -9  -5  -3 6764.95 1426.75   3\r\n   9  -5   3 5903.85 1470.33   4\r\n  -9  -5  -3 4610.52 765.631   2\r\n  -9  -5  -3 6429.48 1237.09   4\r\n  -9   5   3 2637.86 838.196   7\r\n  -9  -5  -3 4405.93 818.780   6\r\n   9   5  -3 5118.89 1316.63   7\r\n  -9   5   3 3335.78 1110.19   6\r\n   9  -5   3 5253.47 830.635   1\r\n  -9  -5  -2 5544.74 1194.84   5\r\n  -9  -5  -2 4344.76 1124.78   3\r\n   9  -5   2 3931.91 1285.76   4\r\n  -9   5   2 4712.63 830.902   7\r\n   9   5  -2 7100.58 1447.57   7\r\n   9  -5   2 4927.79 942.796   1\r\n  -9  -5  -2 6038.80 1034.81   2\r\n  -9  -5  -2 6164.98 1124.46   4\r\n  -9   5   2 4998.00 1308.71   6\r\n   9  -5   1 10400.6 1498.20   4\r\n   9  -5   1 9968.08 1332.85   1\r\n  -9  -5  -1 10912.5 1522.44   4\r\n  -9   5   1 9965.51 1596.88   6\r\n  -9   5   1 10290.5 770.135   7\r\n  -9  -5  -1 9223.20 1239.63   5\r\n  -9  -5  -1 11257.7 1512.47   2\r\n  -9  -5   0 1839.90 474.535   5\r\n  -9   5   0 1802.15 634.674   3\r\n  -9   5   0 1944.44 821.988   6\r\n  -9  -5   0 2455.61 930.187   2\r\n   9  -5   0 2649.45 788.359   4\r\n  -9   5  -1 9903.43 1612.01   3\r\n   9  -5  -1 11409.1 1132.17   4\r\n  -9  -5   1 12233.0 1786.56   2\r\n  -9   5  -1 10612.9 1781.13   6\r\n   9   5   1 10498.7 1659.13   4\r\n   9   5   1 11083.4 1168.94   5\r\n   9   5   2 5988.69 1112.97   5\r\n   9  -5  -2 4550.50 1183.77   5\r\n  -9   5  -2 5726.02 1408.42   3\r\n   9  -5  -2 5312.55 529.550   4\r\n  -9  -5   2 5371.43 1415.33   2\r\n  -9   5  -2 5022.77 1330.31   6\r\n   9   5   2 4902.33 1202.70   4\r\n   9  -5  -3 5084.25 1281.96   5\r\n  -9  -5   3 2401.64 1397.34   2\r\n   9   5   3 4539.76 1122.74   4\r\n   9  -5  -4 4999.27 1605.18   5\r\n  -9  -5   4 4516.69 1399.02   2\r\n   9   5   4 5553.68 1232.73   4\r\n   9  -5  -5 409.936 769.786   5\r\n  -9  -5   5 323.730 1294.28   2\r\n   9   5   5 630.924 734.191   4\r\n   9  -5  -6 1622.26 1300.43   5\r\n  -9  -5   6 918.479 731.775   2\r\n   9   5   6 1699.91 1552.63   1\r\n  -9  -6  -5 938.564 623.141   5\r\n  -9   6   5 925.904 981.650   1\r\n   9  -6   5-398.214 410.374   4\r\n  -9  -6  -4 2952.47 1025.06   5\r\n   9  -6   4 5143.39 1656.80   4\r\n   9   6  -4 2784.69 1098.30   7\r\n  -9   6   4 2706.28 962.484   6\r\n  -9   6   4 3494.16 1159.32   1\r\n  -9  -6  -3 6797.18 1460.75   5\r\n  -9  -6  -3 7349.55 1476.16   3\r\n   9  -6   3 6792.89 1719.91   4\r\n   9   6  -3 6540.84 1525.37   7\r\n  -9  -6  -3 8458.61 1224.82   2\r\n  -9   6   3 5289.99 1409.65   6\r\n  -9  -6  -2 1116.00 596.548   5\r\n  -9  -6  -2 649.593 752.978   3\r\n   9  -6   2 1222.40 875.208   4\r\n  -9   6   2 1019.97 536.518   7\r\n  -9  -6  -2-245.274 730.157   2\r\n  -9  -6  -2 900.733 737.563   6\r\n  -9   6   2 2045.11 966.957   6\r\n   9   6  -2 1057.28 959.499   7\r\n   9   6  -2 651.072 356.553   1\r\n  -9  -6  -1 3833.33 946.804   5\r\n  -9   6   1 3616.37 743.916   3\r\n   9  -6   1 3733.58 1053.09   4\r\n   9   6  -1 3101.84 759.306   1\r\n  -9   6   1 3531.68 1304.49   6\r\n  -9  -6  -1 2837.19 1090.30   2\r\n  -9   6   1 4587.79 561.163   7\r\n  -9  -6   0 1526.28 495.323   5\r\n   9  -6   0 2100.08 696.411   4\r\n  -9   6   0 2006.97 680.617   3\r\n  -9   6   0 1170.58 819.406   6\r\n  -9  -6   0 2624.29 1116.74   2\r\n  -9   6  -1 2297.35 960.706   3\r\n   9  -6  -1 3730.84 774.694   4\r\n  -9   6  -1 2288.93 1183.97   6\r\n  -9  -6   1 4132.91 1474.00   2\r\n  -9  -6   1 3628.22 405.364   5\r\n   9  -6  -2 161.933 791.747   5\r\n  -9   6  -2 776.332 972.716   6\r\n   9  -6  -2 965.365 297.596   4\r\n  -9  -6   2 708.169 1073.20   2\r\n   9   6   2 677.559 930.610   4\r\n   9  -6  -3 4716.27 1317.09   5\r\n  -9  -6   3 6047.41 1569.45   2\r\n   9   6   3 7338.09 1522.09   4\r\n   9  -6  -4 3087.43 1297.75   5\r\n  -9  -6   4 2432.03 1247.30   2\r\n   9   6   4 2119.75 1009.04   4\r\n   9  -6  -5 1055.93 1063.02   5\r\n  -9  -6   5-436.158 670.296   2\r\n   9   6   5-257.599 1272.56   1\r\n  -9  -7  -4-2517.54 1222.93   5\r\n   9   7  -4 683.359 1220.97   7\r\n   9  -7   4 47.4326 813.550   4\r\n  -9   7   4-1807.73 928.969   6\r\n  -9   7   4-26.3751 857.500   1\r\n  -9  -7  -3 1920.44 978.786   5\r\n  -9  -7  -3 2412.51 962.626   2\r\n   9   7  -3 3055.04 1203.00   7\r\n   9  -7   3 3416.59 1178.51   4\r\n  -9   7   3 5566.04 1234.31   6\r\n  -9  -7  -2 2520.43 933.519   5\r\n  -9   7   2 1722.95 1055.68   6\r\n   9   7  -2 1463.82 883.287   7\r\n  -9  -7  -2 1858.92 844.964   2\r\n   9   7  -2 1698.60 494.537   1\r\n   9  -7   2 1387.03 965.613   4\r\n  -9  -7  -1 1058.91 546.698   5\r\n   9  -7   1 563.335 763.952   4\r\n  -9   7   1 632.066 953.434   6\r\n   9   7  -1 1407.52 503.677   1\r\n  -9  -7   0 817.522 369.964   5\r\n   9  -7   0 508.391 566.962   4\r\n   9   7   0-115.854 670.809   1\r\n  -9   7   0 219.828 908.140   6\r\n   9  -7  -1 785.956 622.635   4\r\n   9   7   1 597.954 836.329   1\r\n  -9   7  -1 2923.32 1231.94   6\r\n  -9  -7   1 784.819 799.920   2\r\n   9  -7  -2 2683.05 1109.62   5\r\n   9   7   2 1836.09 1008.45   1\r\n  -9  -7   2 966.685 1354.94   2\r\n   9  -7  -3 3306.65 1200.45   5\r\n   9   7   3 2919.19 1237.34   1\r\n  -9  -7   3 3586.40 1421.84   2\r\n   9   7   4 162.024 1179.98   1\r\n   9  -7  -4 179.091 876.603   5\r\n  -9  -7   4-1522.36 1289.02   2\r\n  -9  -8  -3-932.194 993.521   5\r\n   9  -8   3 1131.48 1228.58   4\r\n   9   8  -3 172.461 921.872   7\r\n  -9   8   3 3206.98 1122.64   6\r\n  -9  -8  -2 2226.82 864.339   5\r\n   9  -8   2 2586.34 1141.70   4\r\n   9   8  -2 1302.58 842.964   7\r\n  -9   8   2 1136.23 1161.01   6\r\n  -9  -8  -2 1982.49 1034.98   2\r\n  -9  -8  -1 2144.53 1025.09   5\r\n   9   8  -1 1725.05 875.196   1\r\n   9  -8   1 2936.35 986.285   4\r\n  -9   8   1 2592.89 1114.20   6\r\n   9   8   0-427.590 785.788   1\r\n   9  -8   0 824.868 504.343   4\r\n   9  -8  -1 3536.17 1368.75   5\r\n  -9  -8   1 3483.33 1506.75   2\r\n   9   8   1 1942.66 1115.55   1\r\n   9  -8  -2 3401.16 1357.61   5\r\n  -9  -8   2 3397.34 1478.48   2\r\n   9   8   2 2527.72 1096.41   1\r\n   9  -8  -3 1319.31 850.604   5\r\n  -9  -8   3 1212.12 1368.29   2\r\n   9   8   3-245.805 1081.63   1\r\n   9  -9   1 953.894 827.771   4\r\n   9   9  -1 484.088 1229.69   7\r\n  -9  -9  -1-1112.36 1613.72   2\r\n   9   9   0 6.83667 873.379   1\r\n  -9  -9   0 1711.09 1385.44   2\r\n   9   9   1 2717.35 878.198   1\r\n  -9  -9   1 762.682 922.488   2\r\n -10   0   0 71848.2 2836.06   4\r\n -10   0   0 69997.4 2711.79   2\r\n  10   0   0 66816.9 2731.88   2\r\n -10   0  -1 163970. 4575.16   4\r\n -10   0   1 158354. 4015.55   4\r\n  10   0  -1 161517. 4095.39   4\r\n  10   0  -1 162956. 3751.70   7\r\n -10   0   1 161626. 4498.56   2\r\n  10   0   1 156277. 3806.30   2\r\n -10   0  -1 154307. 4278.99   6\r\n -10   0  -1 162209. 3645.38   2\r\n  10   0   2 3608.33 623.327   2\r\n -10   0   2 3270.50 898.372   2\r\n  10   0  -2 4018.33 829.781   7\r\n -10   0  -2 3740.38 881.579   4\r\n -10   0   2 3294.32 663.915   4\r\n -10   0  -2 3099.45 702.899   6\r\n  10   0  -2 3325.43 803.731   4\r\n  10   0  -2 4235.46 664.111   5\r\n  10   0   2 3936.74 831.381   5\r\n  10   0   3 2855.01 922.347   5\r\n -10   0   3 4067.48 1024.61   2\r\n  10   0  -3 3347.24 746.480   5\r\n -10   0  -3 4158.33 1210.22   3\r\n  10   0   3 2996.21 762.744   7\r\n  10   0  -3 3178.14 906.771   2\r\n -10   0   3 4073.66 822.157   7\r\n  10   0   3 2611.98 920.421   4\r\n  10   0  -3 4851.12 1083.26   7\r\n -10   0  -3 3699.42 738.178   6\r\n -10   0   3 4101.32 744.632   4\r\n -10   0  -3 4075.77 897.163   4\r\n  10   0  -3 4651.16 757.618   1\r\n  10   0   3 3893.27 573.671   2\r\n -10   0   4 6084.83 1257.31   2\r\n  10   0  -4 5071.18 1053.31   5\r\n -10   0  -4 5766.42 879.205   6\r\n -10   0  -4 6675.73 1731.55   3\r\n  10   0   4 6211.56 623.505   2\r\n  10   0  -4 5208.08 1371.92   7\r\n  10   0   4 8781.75 1545.10   4\r\n -10   0   4 6208.12 1012.35   4\r\n  10   0  -4 5652.04 901.098   1\r\n -10   0   5 11650.6 1821.60   2\r\n -10   0   5 13903.9 1755.91   4\r\n  10   0  -5 13007.5 2152.92   7\r\n  10   0   5 13633.4 2060.65   4\r\n  10   0  -5 14184.9 1817.52   5\r\n  10   0  -6 270.129 881.702   5\r\n  10   0  -6 804.229 1372.66   7\r\n  10   0   6 1442.41 984.601   4\r\n -10   0   6 1269.05 677.120   2\r\n  10   0  -7 715.804 532.038   5\r\n  10   0  -7 862.995 1071.64   7\r\n  10   0   7 1866.52 1260.42   4\r\n -10   0   7 569.386 926.130   2\r\n  10  -1   7-75.3278 1191.59   4\r\n -10   1   7 1995.00 917.878   2\r\n  10   1  -6 246.902 756.779   5\r\n  10   1  -6 291.582 976.294   7\r\n  10  -1   6 629.980 1248.10   4\r\n -10   1   6 2471.28 771.457   2\r\n  10   1  -5 4564.27 1027.91   5\r\n -10  -1  -5-728.221 1977.83   3\r\n  10   1  -5 3435.76 1453.73   7\r\n  10  -1   5 4557.05 1425.73   4\r\n  10  -1   5 3004.64 608.475   2\r\n -10   1   5 3301.32 817.492   4\r\n  10  -1   5 3555.04 895.039   6\r\n -10   1   5 3156.03 1174.81   2\r\n  10   1  -4 6930.64 1059.19   5\r\n -10  -1  -4 7509.42 1884.34   3\r\n  10  -1   4 7554.46 898.951   2\r\n  10  -1   4 8364.42 1617.41   4\r\n  10  -1   4 9112.14 1391.96   7\r\n  10   1  -4 6783.65 1461.70   7\r\n -10  -1  -4 8130.33 804.450   6\r\n -10   1   4 6115.17 940.063   4\r\n  10  -1   4 6054.32 978.764   6\r\n -10   1   4 5829.88 1323.44   2\r\n  10   1  -4 6078.72 842.028   1\r\n -10  -1  -3 18011.2 2363.93   3\r\n -10  -1  -3 17988.9 1876.66   4\r\n  10   1  -3 16129.8 1210.44   1\r\n  10  -1   3 18310.7 1968.53   4\r\n -10   1   3 16177.4 1313.10   4\r\n  10  -1   3 16116.5 1494.02   7\r\n  10  -1   3 17836.8 1315.96   2\r\n  10   1  -3 17417.6 1832.31   7\r\n  10   1  -3 16646.3 1861.42   2\r\n -10   1   3 18326.8 1657.55   7\r\n -10   1   3 15171.3 1767.03   2\r\n -10  -1  -3 17237.9 1260.81   6\r\n  10  -1   3 15562.1 1584.08   6\r\n  10   1  -3 15583.2 1287.19   5\r\n -10  -1  -2 42389.9 2579.80   4\r\n -10   1   2 40487.8 1951.22   4\r\n -10  -1  -2 44953.0 1654.22   2\r\n  10  -1   2 45851.0 2091.69   2\r\n  10   1  -2 43415.0 2447.73   7\r\n -10   1   2 43834.2 2193.10   7\r\n  10   1  -2 47185.7 2708.76   4\r\n -10  -1  -2 44025.5 2142.83   6\r\n -10   1   2 43847.3 2538.20   2\r\n  10   1  -2 47408.0 1693.19   5\r\n -10  -1  -2 40227.5 3099.25   3\r\n -10  -1  -1 78940.7 3206.21   4\r\n -10   1   1 68714.3 2564.25   4\r\n  10   1  -1 70693.1 3009.79   4\r\n -10   1   1 74582.6 3033.34   2\r\n  10  -1   1 76064.6 2806.29   2\r\n  10   1  -1 73880.7 2870.53   7\r\n -10  -1  -1 78446.3 2604.83   2\r\n -10   1   0 27533.9 1782.42   4\r\n  10  -1   0 22376.3 1567.46   4\r\n -10  -1   0 28537.3 1852.57   4\r\n -10   1   0 24359.6 1657.55   2\r\n  10  -1   0 26614.0 1793.49   2\r\n  10   1   0 27290.2 1815.89   2\r\n -10   1   0 26957.7 1998.41   6\r\n -10  -1   0 26814.0 1758.13   2\r\n -10   1  -1 72347.7 3125.60   4\r\n -10  -1   1 73676.4 2981.79   4\r\n  10  -1  -1 75647.4 2668.74   4\r\n  10  -1  -1 74467.1 2403.29   7\r\n -10  -1   1 74776.0 3192.54   2\r\n  10   1   1 76155.5 2692.08   2\r\n -10   1  -1 73933.1 3129.73   6\r\n  10   1   1 74491.3 2748.65   5\r\n -10   1  -2 50426.4 2927.27   4\r\n  10   1   2 49026.4 2626.24   4\r\n -10  -1   2 45330.8 2471.69   4\r\n  10  -1  -2 44973.4 2253.28   1\r\n  10  -1  -2 44265.5 2337.46   7\r\n  10  -1  -2 44553.2 2128.30   4\r\n  10   1   2 44165.7 1814.32   2\r\n -10   1  -2 41517.4 2384.10   6\r\n -10  -1   2 45014.7 2739.11   2\r\n  10   1   2 45457.9 2581.07   5\r\n -10   1  -3 15024.3 2275.31   3\r\n  10  -1  -3 18260.0 1558.59   1\r\n -10   1  -3 20697.8 2127.38   4\r\n  10   1   3 17506.5 1830.02   4\r\n -10  -1   3 13893.3 1557.33   4\r\n  10  -1  -3 15365.0 1714.76   7\r\n -10  -1   3 16128.0 1671.34   7\r\n -10  -1   3 15257.2 1784.71   2\r\n  10  -1  -3 16339.8 1780.85   2\r\n  10   1   3 17204.4 885.830   2\r\n -10   1  -3 16698.1 1551.05   6\r\n  10   1   3 15893.3 1775.68   5\r\n  10  -1  -3 14435.9 1483.75   5\r\n  10  -1  -4 8993.62 1388.48   5\r\n -10  -1   4 7299.75 1407.16   2\r\n -10   1  -4 6369.56 1606.11   3\r\n  10  -1  -4 7318.65 1405.34   7\r\n -10   1  -4 8161.08 1175.17   6\r\n  10   1   4 6641.75 1373.58   4\r\n -10  -1   4 5591.02 1186.12   4\r\n  10  -1  -4 6618.62 1145.64   1\r\n  10  -1  -5 3082.38 1058.99   5\r\n -10  -1   5 3361.64 1216.73   2\r\n -10   1  -5-394.942 1846.99   3\r\n  10  -1  -5 4253.65 1418.96   7\r\n  10   1   5 4389.96 1352.07   4\r\n  10  -1  -6 219.536 919.039   5\r\n -10  -1   6 199.521 932.908   2\r\n  10   1   6 1335.24 1006.49   4\r\n  10  -1  -6 925.513 1092.32   7\r\n -10  -1   7-2237.20 1182.97   2\r\n  10  -1  -7 1753.96 1037.19   5\r\n  10  -1  -7-2373.56 1498.56   7\r\n  10   1   7 1217.53 1253.53   4\r\n  10   2  -6 6538.13 1444.02   7\r\n  10  -2   6 8006.91 1773.43   4\r\n -10   2   6 7066.29 1320.26   2\r\n -10   2   6 6494.03 1375.66   6\r\n  10   2  -6 5521.80 1263.22   5\r\n  10   2  -5 5948.04 1077.17   5\r\n -10  -2  -5 1467.55 1516.56   3\r\n  10  -2   5 5281.24 1553.43   4\r\n -10   2   5 4971.86 714.364   4\r\n -10   2   5 3529.92 1173.76   2\r\n  10  -2   5 5448.40 1245.39   6\r\n  10   2  -5 5909.69 1807.08   7\r\n -10  -2  -4 7156.11 1874.24   3\r\n -10   2   4 5405.62 691.765   4\r\n  10  -2   4 6282.13 1449.47   4\r\n  10   2  -4 5039.68 1262.70   7\r\n -10   2   4 5168.41 1228.91   2\r\n  10  -2   4 4060.77 968.406   6\r\n  10  -2   4 3991.94 917.224   7\r\n -10  -2  -4 7985.11 1556.54   5\r\n  10   2  -4 6103.85 876.685   5\r\n  10   2  -4 6264.55 679.367   1\r\n -10  -2  -3 32463.0 3019.49   3\r\n -10  -2  -3 36334.7 2599.88   4\r\n  10  -2   3 29396.7 2533.73   4\r\n -10   2   3 30189.4 1518.97   4\r\n  10   2  -3 30518.9 1431.47   1\r\n  10  -2   3 31412.6 1972.33   7\r\n -10   2   3 30592.3 2357.08   2\r\n  10   2  -3 31733.9 2504.13   7\r\n -10   2   3 31735.7 2137.62   7\r\n -10  -2  -3 35338.0 1603.65   6\r\n  10  -2   3 32771.5 2420.19   6\r\n  10   2  -3 31261.4 1413.54   5\r\n -10   2   2 6644.78 771.614   4\r\n  10  -2   2 5656.26 904.862   2\r\n  10  -2   2 5847.44 733.504   7\r\n -10   2   2 5704.82 790.374   7\r\n -10  -2  -2 6239.76 691.345   2\r\n  10   2  -2 6169.98 1074.41   7\r\n -10  -2  -2 6925.76 1127.17   4\r\n -10   2   2 4665.60 1044.93   2\r\n  10  -2   2 5572.44 1059.24   6\r\n -10   2   2 6647.99 1172.18   6\r\n  10   2  -2 5638.83 458.317   5\r\n -10   2   1 12699.6 1140.48   4\r\n  10  -2   1 13034.6 1487.27   6\r\n  10  -2   1 12669.7 1370.64   4\r\n -10  -2  -1 14361.8 1446.27   4\r\n -10   2   1 13241.5 1361.06   2\r\n  10  -2   1 12673.7 1296.70   2\r\n -10  -2  -1 12815.3 1181.42   2\r\n -10   2   1 11183.0 1492.23   6\r\n  10   2  -1 13813.9 1540.73   2\r\n  10   2  -1 13020.1 718.682   5\r\n -10   2   0 77239.8 3007.26   4\r\n  10  -2   0 77734.2 2864.69   4\r\n -10  -2   0 80278.5 3235.25   4\r\n  10  -2   0 79661.4 1691.30   7\r\n -10  -2   0 80896.3 3169.77   2\r\n -10   2   0 79159.7 3496.27   6\r\n  10   2   0 80046.6 3230.88   2\r\n  10   2   0 78341.2 2324.12   5\r\n -10  -2   1 11458.6 1442.95   2\r\n -10   2  -1 12282.8 1384.77   4\r\n  10  -2  -1 12447.1 1096.18   4\r\n -10  -2   1 13465.5 1416.55   4\r\n  10  -2  -1 13238.7 1032.15   7\r\n  10  -2  -1 12239.7 1249.98   1\r\n  10   2   1 11299.4 1124.72   2\r\n -10   2  -1 12322.6 1463.23   6\r\n  10   2   1 12056.7 1167.85   5\r\n  10   2   2 6891.05 1107.65   5\r\n  10  -2  -2 5434.50 1046.59   2\r\n -10   2  -2 6127.67 1315.50   3\r\n -10   2  -2 5710.66 1159.88   4\r\n -10  -2   2 5125.39 1108.91   2\r\n  10  -2  -2 5372.41 897.759   1\r\n -10  -2   2 6707.36 1005.87   4\r\n  10  -2  -2 5612.87 703.405   4\r\n  10  -2  -2 4953.95 850.817   7\r\n  10   2   2 5575.49 1045.39   4\r\n -10   2  -2 6730.39 1137.90   6\r\n -10   2  -3 31238.1 3201.93   3\r\n  10  -2  -3 34497.3 2329.73   1\r\n -10  -2   3 28591.4 2370.12   4\r\n  10   2   3 31509.9 2340.86   4\r\n  10  -2  -3 31054.5 2409.79   7\r\n -10  -2   3 30252.2 2628.85   2\r\n -10   2  -3 32211.5 2361.81   6\r\n  10  -2  -3 33573.1 2525.64   2\r\n  10   2   3 34351.5 2634.41   5\r\n  10  -2  -3 32710.8 2362.91   5\r\n  10  -2  -4 5682.82 1291.43   5\r\n -10  -2   4 4902.89 1242.59   2\r\n -10   2  -4 5057.15 1841.72   3\r\n  10  -2  -4 6395.74 1533.44   7\r\n  10   2   4 7311.58 1355.45   4\r\n  10  -2  -5 4853.70 1386.68   5\r\n -10  -2   5 5311.97 1385.93   2\r\n  10  -2  -5 6764.62 1477.52   7\r\n  10   2   5 5840.54 1326.06   4\r\n  10  -2  -6 4737.99 1386.54   5\r\n -10  -2   6 4804.34 1363.18   2\r\n  10  -2  -6 6324.79 1838.68   7\r\n  10   2   6 9363.99 1674.77   4\r\n  10   3  -6 681.081 791.238   7\r\n  10  -3   6-1320.05 1141.53   4\r\n -10   3   6 387.537 666.373   6\r\n -10  -3  -6 1515.58 741.523   5\r\n  10   3  -5 7120.14 1722.62   7\r\n  10  -3   5 9810.29 2052.86   4\r\n -10   3   5 9886.76 1580.14   6\r\n -10  -3  -5 10405.5 1969.11   5\r\n -10   3   4 7761.11 451.762   4\r\n -10  -3  -4 8094.72 1959.49   3\r\n  10  -3   4 9409.96 1308.44   7\r\n  10  -3   4 9735.81 1893.58   4\r\n  10   3  -4 8913.56 1739.49   7\r\n -10   3   4 8320.73 1487.61   6\r\n -10  -3  -4 7835.25 1595.94   5\r\n -10  -3  -3 23842.6 2779.29   3\r\n -10   3   3 24581.9 1138.01   4\r\n  10  -3   3 28740.0 2631.89   4\r\n -10  -3  -3 25776.1 2216.38   4\r\n  10   3  -3 24125.3 1084.23   1\r\n  10  -3   3 25394.7 1709.81   7\r\n -10  -3  -3 27064.0 958.694   2\r\n -10   3   3 27642.8 2039.54   7\r\n  10   3  -3 27265.1 2451.33   7\r\n  10  -3   3 25265.7 2339.43   6\r\n -10   3   3 22978.5 2248.92   6\r\n -10  -3  -3 22614.9 2253.61   5\r\n -10   3   2 7967.02 807.443   4\r\n -10  -3  -2 9047.19 1277.82   4\r\n  10  -3   2 8832.07 732.426   7\r\n  10   3  -2 9107.18 1344.36   7\r\n  10  -3   2 9090.73 1444.56   4\r\n -10  -3  -2 8142.71 915.090   2\r\n -10   3   2 7753.56 1288.50   6\r\n  10  -3   2 8411.44 1380.74   6\r\n -10   3   2 7969.28 918.715   7\r\n -10  -3  -2 6940.98 1146.79   5\r\n -10   3   1 784.840 419.227   4\r\n -10  -3  -1 526.218 441.402   2\r\n  10  -3   1 1194.46 595.993   4\r\n -10   3   1 697.709 265.599   7\r\n -10  -3  -1 316.470 505.951   4\r\n -10   3   1 472.347 576.500   6\r\n  10  -3   1 453.110 714.626   6\r\n -10   3   0 63880.8 3395.69   6\r\n -10   3   0 61260.9 2868.22   4\r\n  10  -3   0 56398.2 2562.20   4\r\n -10  -3   0 59480.9 3042.91   4\r\n -10  -3   0 59732.2 2959.07   2\r\n  10   3   0 57941.2 1973.90   5\r\n -10   3  -1-33.3638 603.821   3\r\n  10   3   1 904.857 465.504   5\r\n -10  -3   1 213.825 789.277   2\r\n  10  -3  -1 933.080 378.170   7\r\n  10  -3  -1 1249.21 431.366   4\r\n -10   3  -1 500.901 611.798   6\r\n -10  -3   1 770.498 614.986   4\r\n  10   3   1 157.235 667.886   4\r\n  10  -3  -1 821.134 576.827   1\r\n  10   3   2 8293.92 1206.18   5\r\n -10   3  -2 8364.05 1554.50   3\r\n  10  -3  -2 7898.48 1002.40   7\r\n  10  -3  -2 8840.33 823.605   4\r\n -10  -3   2 9745.58 1388.83   4\r\n -10  -3   2 6213.95 1328.08   2\r\n  10  -3  -2 9417.05 1347.93   2\r\n -10   3  -2 6942.71 1247.78   6\r\n  10   3   2 6963.10 1185.97   4\r\n  10  -3  -2 8612.19 1247.19   1\r\n -10   3  -3 23643.7 2903.97   3\r\n  10   3   3 22127.1 2093.75   4\r\n  10  -3  -3 23481.1 2059.54   7\r\n -10   3  -3 24440.4 2345.86   6\r\n -10  -3   3 22248.4 2427.01   2\r\n  10  -3  -3 21230.3 2049.93   5\r\n  10  -3  -4 9638.20 1710.05   5\r\n -10  -3   4 10235.7 1788.06   2\r\n  10  -3  -4 10465.6 1716.30   7\r\n  10   3   4 9857.29 1499.44   4\r\n  10  -3  -5 8806.44 1747.04   5\r\n -10  -3   5 10145.9 1839.27   2\r\n  10   3   5 13382.8 1827.48   4\r\n  10  -3  -5 9910.94 1861.47   7\r\n -10  -3   6 1069.33 779.936   2\r\n  10   3   6-66.6179 922.141   4\r\n  10  -3  -6-327.467 1171.54   7\r\n  10   4  -6 1821.37 1103.90   7\r\n  10  -4   6 2457.49 1658.90   4\r\n -10  -4  -6 3054.14 1093.22   5\r\n -10  -4  -5 794.872 886.623   5\r\n  10  -4   5-367.242 1403.60   4\r\n  10   4  -5 1702.77 1219.86   7\r\n -10   4   5 3606.31 897.405   6\r\n -10  -4  -4 421.820 767.898   5\r\n -10  -4  -4 140.301 1305.23   3\r\n  10  -4   4 394.010 759.599   4\r\n  10   4  -4-455.076 1028.55   7\r\n  10  -4   4 1705.77 742.807   7\r\n -10   4   4-36.7938 745.325   6\r\n -10  -4  -3 1050.87 855.686   5\r\n  10  -4   3 1463.05 493.817   7\r\n -10  -4  -3 1214.62 409.782   2\r\n -10  -4  -3 871.123 1112.94   3\r\n  10   4  -3 907.445 230.594   1\r\n  10  -4   3 7.34305 1023.27   4\r\n -10   4   3 2039.24 676.320   7\r\n  10   4  -3 2179.70 1048.44   7\r\n -10  -4  -3 1577.44 773.776   4\r\n -10   4   3 1813.33 961.729   6\r\n -10  -4  -2 9074.13 1371.85   5\r\n -10  -4  -2 11121.1 1428.27   4\r\n -10   4   2 7841.27 945.731   7\r\n  10  -4   2 9050.33 1499.40   4\r\n -10  -4  -2 10393.5 1163.25   2\r\n  10   4  -2 13191.7 1695.62   7\r\n -10   4   2 8965.90 1514.88   6\r\n -10  -4  -2 9377.69 1601.93   3\r\n -10  -4  -1 6921.13 1170.35   4\r\n -10   4   1 8116.51 614.111   7\r\n -10  -4  -1 7200.80 1100.50   2\r\n  10  -4   1 8230.00 1272.86   4\r\n -10   4   1 7594.65 1424.66   6\r\n -10  -4  -1 7075.99 1022.00   5\r\n  10   4   0 2333.17 453.833   5\r\n  10  -4   0 2816.70 780.016   1\r\n -10  -4   0 2624.57 799.372   2\r\n -10   4   0 2119.22 859.381   6\r\n -10  -4   0 2461.97 734.406   4\r\n  10  -4   0 1411.76 621.008   4\r\n  10   4   0 2211.64 961.963   4\r\n -10   4  -1 8219.80 1391.11   3\r\n  10  -4  -1 7311.60 890.614   4\r\n -10  -4   1 8830.43 1446.18   2\r\n -10   4  -1 6751.79 1400.37   6\r\n  10   4   1 8006.94 1391.42   4\r\n  10   4   1 7625.75 1014.52   5\r\n  10   4   2 9580.03 1370.08   5\r\n -10   4  -2 9928.21 1708.52   3\r\n  10  -4  -2 9975.78 797.465   4\r\n -10  -4   2 9995.56 1679.52   2\r\n -10   4  -2 8040.30 1481.60   6\r\n  10   4   2 9901.22 1481.02   4\r\n -10  -4   3 7.64729 638.080   2\r\n  10  -4  -3 1288.96 982.993   5\r\n -10   4  -3 971.218 1272.27   3\r\n -10   4  -3 707.410 755.100   6\r\n  10   4   3 428.130 808.329   4\r\n  10  -4  -4 597.071 846.423   5\r\n -10  -4   4 777.482 912.795   2\r\n  10   4   4 678.970 728.137   4\r\n  10  -4  -5 1696.34 972.163   5\r\n -10  -4   5-418.730 841.517   2\r\n  10   4   5 33.8567 652.046   4\r\n  10  -4  -6 2142.47 1173.04   5\r\n -10  -4   6 3275.04 1528.55   2\r\n  10   4   6 2666.75 907.257   4\r\n -10  -5  -5 510.063 836.110   5\r\n  10  -5   5-435.152 1275.34   4\r\n  10   5  -5 900.222 1116.88   7\r\n -10   5   5 1771.88 770.916   6\r\n -10  -5  -4 9738.04 1824.00   5\r\n -10  -5  -4 8714.58 1988.80   3\r\n  10  -5   4 9300.46 1868.72   4\r\n -10   5   4 8990.28 1630.21   6\r\n  10   5  -4 6406.89 1758.31   7\r\n -10  -5  -3 4365.24 1184.37   5\r\n -10  -5  -3 3737.22 1232.96   3\r\n -10  -5  -3 3756.03 726.916   2\r\n  10  -5   3 3653.99 1217.58   4\r\n  10   5  -3 4429.41 1284.69   7\r\n -10  -5  -3 3458.85 780.159   6\r\n -10   5   3 899.916 910.677   6\r\n -10   5   3 3689.23 964.131   7\r\n -10  -5  -2 13270.9 1800.82   3\r\n -10  -5  -2 10021.1 1498.54   5\r\n  10  -5   2 14012.0 1923.51   4\r\n -10   5   2 12825.7 1196.07   7\r\n -10   5   2 14420.4 2024.22   6\r\n -10  -5  -2 13119.1 1428.58   2\r\n  10   5  -2 13472.0 1861.44   7\r\n -10  -5  -1-34.0863 476.189   5\r\n  10  -5   1 333.029 716.377   4\r\n -10   5   1 475.622 223.039   7\r\n -10  -5  -1 230.952 540.624   2\r\n -10   5   1 262.578 458.448   6\r\n -10   5   0 1658.45 665.031   3\r\n  10  -5   0 1331.23 654.111   4\r\n -10  -5   0 2902.15 876.600   2\r\n -10   5   0 1281.73 688.245   6\r\n  10   5   0 621.860 1004.91   4\r\n -10  -5   0 1146.31 396.004   5\r\n  10   5   1 167.801 348.570   5\r\n -10   5  -1 226.023 666.662   3\r\n -10   5  -1-258.928 952.178   6\r\n  10  -5  -1 605.301 491.411   4\r\n -10  -5   1-1768.12 973.322   2\r\n  10   5   1 528.310 820.021   4\r\n -10   5  -2 13716.3 2101.68   6\r\n -10   5  -2 14041.5 2149.00   3\r\n  10  -5  -2 12934.8 890.834   4\r\n  10   5   2 13611.6 1874.87   4\r\n -10  -5   2 12125.3 1983.24   2\r\n  10   5   2 13332.3 1599.40   5\r\n  10  -5  -2 15528.6 1965.07   5\r\n  10  -5  -3 4887.61 1226.53   5\r\n -10  -5   3 3940.56 1281.14   2\r\n -10   5  -3 3137.96 1200.16   6\r\n  10   5   3 3650.21 1123.02   4\r\n  10  -5  -4 7288.02 1781.52   5\r\n -10  -5   4 9643.34 1803.61   2\r\n  10   5   4 7933.62 1476.61   4\r\n  10  -5  -5 1756.70 931.235   5\r\n -10  -5   5 183.079 1206.66   2\r\n  10   5   5 251.784 868.982   4\r\n -10  -6  -5-674.429 950.799   5\r\n  10  -6   5 445.189 1241.92   4\r\n  10   6  -5 115.680 853.517   7\r\n -10   6   5 3253.37 1045.22   6\r\n -10  -6  -4 1643.17 1124.97   5\r\n -10  -6  -4 1178.45 1096.67   3\r\n  10  -6   4 515.436 880.329   4\r\n  10   6  -4-127.733 920.361   7\r\n -10   6   4 388.994 641.368   6\r\n -10  -6  -3 9059.07 1601.68   5\r\n -10  -6  -3 11552.6 1836.31   3\r\n  10  -6   3 9434.91 2012.64   4\r\n  10   6  -3 9798.43 1790.65   7\r\n -10  -6  -3 9679.26 1281.17   2\r\n -10   6   3 11295.9 1884.12   6\r\n -10  -6  -2 958.329 646.375   5\r\n -10  -6  -2 637.560 871.347   3\r\n  10  -6   2 81.7457 730.643   4\r\n -10  -6  -2 209.676 525.285   2\r\n -10   6   2 1628.48 911.442   6\r\n  10   6  -2 560.260 423.115   1\r\n  10   6  -2 237.052 746.623   7\r\n -10  -6  -1 1719.73 641.846   5\r\n -10   6   1 1133.88 484.142   3\r\n  10  -6   1 2119.57 776.093   4\r\n -10   6   1 1256.98 286.568   7\r\n -10  -6  -1 978.344 867.707   2\r\n -10   6   1 1986.26 748.070   6\r\n -10  -6   0 145.644 368.537   5\r\n -10   6   0 1337.43 550.620   3\r\n  10  -6   0 816.236 573.919   4\r\n -10  -6   0 83.6472 842.682   2\r\n -10   6   0 784.808 736.590   6\r\n -10   6  -1 1206.08 836.655   3\r\n  10  -6  -1 1110.30 469.916   4\r\n -10  -6   1 1854.24 967.233   2\r\n -10   6  -1 1418.01 903.818   6\r\n  10  -6  -2 1408.95 930.794   5\r\n -10   6  -2 695.515 1011.73   3\r\n -10  -6   2 1391.73 995.251   2\r\n  10  -6  -2 447.370 284.893   4\r\n -10   6  -2-494.137 931.957   6\r\n  10   6   2 259.170 892.653   4\r\n  10  -6  -3 9328.98 1791.22   5\r\n -10  -6   3 11916.5 2235.28   2\r\n  10   6   3 9935.01 1793.03   4\r\n  10  -6  -4 718.521 961.249   5\r\n -10  -6   4 1092.77 899.477   2\r\n  10   6   4 1193.04 868.517   4\r\n  10  -6  -5 613.491 706.790   5\r\n -10  -6   5 454.016 1109.73   2\r\n  10   6   5 1117.07 804.439   1\r\n -10  -7  -4-599.866 1322.18   5\r\n  10   7  -4 1449.25 940.915   7\r\n -10   7   4 260.004 639.339   6\r\n  10  -7   4 2214.72 1170.09   4\r\n -10  -7  -3 2290.25 933.505   5\r\n  10  -7   3 1679.43 1073.11   4\r\n -10   7   3 1402.11 961.225   6\r\n  10   7  -3 732.098 831.845   7\r\n -10  -7  -2 314.989 627.949   5\r\n  10  -7   2 3281.05 1245.80   4\r\n  10   7  -2 2517.83 1169.65   7\r\n -10  -7  -2 1787.47 953.056   2\r\n -10   7   2 1967.95 959.410   6\r\n -10  -7  -1 89.7413 681.588   5\r\n  10  -7   1 87.2934 768.662   4\r\n -10   7   1 239.182 734.953   6\r\n -10  -7  -1 645.981 856.062   2\r\n  10   7  -1-538.875 502.428   1\r\n -10  -7   0 837.341 498.762   5\r\n -10   7   0 519.534 572.886   3\r\n  10   7   0 1150.19 750.410   1\r\n -10   7   0 340.020 929.197   6\r\n  10  -7   0 1112.52 776.786   4\r\n -10  -7   0 1537.87 1113.40   2\r\n  10  -7  -1 450.885 474.731   4\r\n -10   7  -1 1492.63 926.449   6\r\n -10  -7   1 104.645 1069.80   2\r\n  10   7   1 91.4460 792.311   1\r\n  10  -7  -2 2059.39 1013.16   5\r\n -10  -7   2 2333.43 1344.41   2\r\n  10   7   2 1714.44 812.976   1\r\n  10  -7  -3 3235.71 1160.74   5\r\n -10  -7   3 1942.77 1317.28   2\r\n  10   7   3 1261.97 1022.54   1\r\n  10   7   3 863.554 1162.92   4\r\n  10  -7  -4 3053.95 1348.57   5\r\n  10   7   4 1201.01 858.581   1\r\n -10  -7   4 2619.26 1441.05   2\r\n -10  -8  -3 1753.80 708.325   5\r\n  10   8  -3 1626.23 1101.15   7\r\n -10   8   3 594.441 612.698   6\r\n -10  -8  -2 933.190 769.389   5\r\n  10   8  -2 757.829 876.474   7\r\n -10   8   2 1881.43 1012.56   6\r\n -10  -8  -2-680.677 959.870   2\r\n -10  -8  -1-991.571 699.330   5\r\n  10   8  -1 430.650 375.878   1\r\n -10   8   1-710.586 923.535   6\r\n  10  -8   1-237.224 1012.60   4\r\n -10  -8  -1 358.587 1055.43   2\r\n  10  -8   0-2562.25 1004.12   4\r\n -10   8   0 200.633 801.152   6\r\n -10  -8   0-1551.66 1129.96   2\r\n  10   8   0 242.148 791.682   1\r\n  10  -8  -1 419.731 743.346   5\r\n -10  -8   1-1015.98 1213.65   2\r\n  10   8   1-1763.14 1165.75   1\r\n  10  -8  -2 1113.68 786.074   5\r\n -10  -8   2-5.95776 1160.04   2\r\n  10   8   2 394.873 704.065   1\r\n  10  -8  -3-2208.49 1193.02   5\r\n -10  -8   3-395.730 738.181   2\r\n  10   8   3-1352.35 947.817   1\r\n  10   9   0 1846.16 1066.71   1\r\n -10  -9   0 2805.17 1435.86   2\r\n  11   0   0-12.9987 433.136   2\r\n  11   0   0-1242.70 745.256   4\r\n -11   0   0-58.1342 329.188   4\r\n -11   0   0 38.0767 516.699   2\r\n -11   0  -1 29111.6 2080.48   4\r\n -11   0   1 27008.8 1798.42   4\r\n  11   0  -1 25142.9 1796.34   4\r\n -11   0  -1 26115.8 1634.49   2\r\n  11   0  -1 24615.9 1606.49   7\r\n -11   0   1 23658.7 1906.53   2\r\n  11   0   1 24730.9 1681.12   2\r\n -11   0  -1 22590.9 1825.32   6\r\n -11   0  -2 21097.9 1955.25   4\r\n -11   0   2 18399.9 1560.73   4\r\n  11   0  -2 18894.0 1654.46   7\r\n  11   0  -2 22251.2 1773.22   4\r\n -11   0   2 21351.2 1940.19   2\r\n  11   0   2 20084.8 1417.94   2\r\n -11   0  -2 21444.2 1729.77   6\r\n  11   0   2 21401.2 1789.38   5\r\n -11   0  -3 11738.9 2117.50   3\r\n -11   0  -3 15205.3 1858.56   4\r\n  11   0  -3 12703.0 1262.76   1\r\n  11   0   3 12531.8 1639.04   4\r\n -11   0   3 13208.0 1358.62   4\r\n  11   0  -3 13402.4 1662.94   7\r\n -11   0   3 13174.0 1486.85   7\r\n  11   0   3 13521.6 1071.21   2\r\n -11   0   3 15074.5 1750.93   2\r\n  11   0  -3 12916.5 1646.79   2\r\n -11   0  -3 13416.1 1315.34   6\r\n  11   0  -3 13364.7 1324.01   5\r\n  11   0  -4 16574.3 1548.86   1\r\n -11   0  -4 18517.5 2785.89   3\r\n  11   0   4 16553.1 2016.07   4\r\n -11   0   4 15743.1 1654.12   4\r\n  11   0  -4 17613.0 2149.35   7\r\n -11   0   4 18350.5 2109.95   2\r\n  11   0   4 17807.9 1081.00   2\r\n -11   0  -4 18058.9 1516.40   6\r\n  11   0  -4 16664.0 1712.83   5\r\n -11   0   5 11576.2 1895.57   2\r\n  11   0  -5 12419.5 1831.39   5\r\n  11   0  -5 14986.1 2281.74   7\r\n  11   0   5 14712.9 2174.82   4\r\n -11   0  -5 8360.56 2134.86   3\r\n -11   0   5 12318.1 1515.06   4\r\n  11   0  -6 3617.99 1189.94   5\r\n  11   0  -6 2689.04 1406.44   7\r\n  11   0   6 4645.68 1550.37   4\r\n -11   0   6 4295.78 1317.87   2\r\n  11   1  -6 4717.72 1076.80   5\r\n  11  -1   6 2689.24 1323.08   4\r\n  11   1  -6 4819.76 1566.98   7\r\n -11   1   6 1566.95 963.909   2\r\n  11   1  -5 6234.08 1128.93   5\r\n -11  -1  -5 3248.86 1999.61   3\r\n  11   1  -5 5945.74 1638.29   7\r\n  11  -1   5 5192.75 1564.50   4\r\n -11   1   5 5915.94 1032.06   4\r\n -11   1   5 5968.67 1401.41   2\r\n  11   1  -4 2539.20 571.739   1\r\n  11   1  -4 1824.61 670.013   5\r\n -11  -1  -4 3064.10 1408.25   3\r\n  11  -1   4 2511.71 798.419   7\r\n  11   1  -4 2312.52 936.003   7\r\n  11  -1   4 1821.39 929.811   4\r\n -11  -1  -4 1708.69 466.737   6\r\n -11   1   4 2029.79 527.989   4\r\n  11  -1   4 1737.83 519.528   2\r\n -11   1   4 2683.89 932.569   2\r\n -11  -1  -3 7764.33 1665.08   3\r\n  11   1  -3 9655.95 1000.93   1\r\n -11   1   3 8732.55 1042.91   4\r\n  11  -1   3 7866.88 1081.92   7\r\n  11  -1   3 9530.90 1043.10   2\r\n -11   1   3 9060.31 1298.79   7\r\n -11  -1  -3 9728.99 1388.44   4\r\n  11   1  -3 8590.16 1360.63   7\r\n  11  -1   3 8218.75 1413.87   4\r\n -11  -1  -3 8732.60 1007.34   6\r\n -11   1   3 8014.31 1413.13   2\r\n  11   1  -3 8506.91 952.293   5\r\n -11   1   2 43313.6 2187.34   7\r\n -11  -1  -2 47262.8 2837.57   4\r\n -11   1   2 42264.5 2131.80   4\r\n -11  -1  -2 44193.2 1790.00   2\r\n  11   1  -2 44085.7 2710.03   4\r\n -11   1   2 44845.0 2678.51   2\r\n  11   1  -2 46721.8 2547.28   7\r\n -11  -1  -2 41624.5 2224.54   6\r\n  11  -1   2 38924.7 2073.35   2\r\n  11   1  -2 42299.2 1655.49   5\r\n -11  -1  -1 47313.9 2617.24   4\r\n -11   1   1 41896.3 2140.17   4\r\n  11   1  -1 45059.4 2557.31   4\r\n -11   1   1 44231.6 2523.54   2\r\n  11   1  -1 47405.6 2402.66   7\r\n  11  -1   1 44803.8 2307.84   2\r\n -11  -1  -1 46871.4 2146.34   2\r\n  11  -1   0 1240.39 533.593   2\r\n -11  -1   0 545.404 480.894   2\r\n  11   1   0 1002.08 547.368   2\r\n -11   1   0 937.216 465.094   4\r\n -11  -1   0 575.442 424.508   4\r\n  11  -1   0 839.581 510.146   4\r\n -11   1   0 1047.60 619.243   2\r\n -11   1   0 1295.60 771.978   6\r\n -11   1  -1 43696.2 2559.32   4\r\n -11  -1   1 45598.5 2488.19   4\r\n  11  -1  -1 45453.2 2218.48   4\r\n  11  -1  -1 44394.6 1961.21   7\r\n -11  -1   1 41185.5 2530.12   2\r\n  11   1   1 43564.0 2240.12   2\r\n -11   1  -1 48662.1 2676.39   6\r\n  11   1   1 43743.2 2216.46   5\r\n -11   1  -2 41636.5 2787.47   4\r\n  11   1   2 40361.1 2524.02   4\r\n -11  -1   2 43722.9 2483.94   4\r\n  11  -1  -2 43243.2 2208.05   4\r\n  11  -1  -2 38799.2 2261.52   7\r\n -11  -1   2 44770.9 2814.13   2\r\n -11   1  -2 40143.6 2454.28   6\r\n  11  -1  -2 41686.4 2246.24   1\r\n  11   1   2 44324.1 1963.80   2\r\n  11   1   2 39852.5 2508.59   5\r\n -11  -1   3 9191.24 1509.62   2\r\n  11  -1  -3 7272.44 1147.80   5\r\n -11   1  -3 5784.05 1572.58   3\r\n  11  -1  -3 9899.48 1245.25   1\r\n  11  -1  -3 8382.46 1365.14   2\r\n -11  -1   3 9369.07 1314.35   4\r\n  11  -1  -3 9801.77 1373.42   7\r\n  11   1   3 9796.29 791.397   2\r\n -11   1  -3 9022.00 1213.00   6\r\n  11   1   3 8718.58 1428.62   4\r\n  11  -1  -4 1879.90 658.159   1\r\n -11  -1   4 1742.91 1040.96   2\r\n  11  -1  -4 2552.86 812.343   5\r\n -11   1  -4 3137.16 1341.37   3\r\n  11  -1  -4 2106.48 1056.02   7\r\n  11   1   4 2469.70 1096.89   4\r\n -11   1  -4 1461.42 717.524   6\r\n -11  -1   4 3228.63 850.741   4\r\n  11  -1  -5 7891.43 1541.34   5\r\n -11  -1   5 6106.63 1475.23   2\r\n  11  -1  -5 8552.52 1866.12   7\r\n  11   1   5 5091.02 1484.03   4\r\n -11  -1   6 3665.96 1183.65   2\r\n  11  -1  -6 1779.95 1077.03   5\r\n  11  -1  -6 3549.10 1380.52   7\r\n  11   1   6 3418.02 1342.95   4\r\n  11  -2   6 1534.86 1247.96   4\r\n -11   2   6 2910.02 968.248   2\r\n -11   2   6 1554.19 960.277   6\r\n  11   2  -6 3643.58 1368.52   7\r\n  11   2  -5 5733.82 984.967   5\r\n  11  -2   5 5884.21 1564.78   4\r\n -11  -2  -5 4709.42 1990.01   3\r\n  11   2  -5 7079.97 1694.07   7\r\n -11   2   5 6250.32 1371.04   2\r\n -11  -2  -4 21511.2 2975.88   3\r\n  11  -2   4 21314.6 2525.87   4\r\n -11   2   4 23293.5 1477.37   4\r\n  11  -2   4 22202.4 2002.32   7\r\n -11   2   4 22257.3 2289.65   2\r\n -11  -2  -4 24366.6 1033.96   6\r\n  11  -2   4 24763.5 2251.49   6\r\n  11   2  -4 22868.9 1559.87   5\r\n  11   2  -4 25151.9 2600.55   7\r\n  11   2  -4 20918.8 1284.04   1\r\n -11  -2  -3 19015.7 2384.61   3\r\n -11  -2  -3 19381.2 2016.64   4\r\n  11  -2   3 18743.1 2066.03   4\r\n -11   2   3 18207.6 1329.39   4\r\n  11  -2   3 18720.1 1587.62   2\r\n  11   2  -3 18616.1 1236.93   1\r\n -11   2   3 18336.3 1941.18   2\r\n  11   2  -3 17317.9 2005.85   7\r\n -11   2   3 19172.2 1691.76   7\r\n -11  -2  -3 20148.7 1367.71   6\r\n  11  -2   3 20053.8 1991.10   6\r\n  11   2  -3 17218.2 1077.66   5\r\n  11  -2   3 17933.1 1551.51   7\r\n  11  -2   2 6585.73 1010.45   2\r\n -11  -2  -2 8996.93 1278.95   4\r\n -11   2   2 5901.85 797.320   4\r\n -11   2   2 7521.62 899.122   7\r\n -11  -2  -2 6752.10 774.551   2\r\n  11  -2   2 6988.69 1249.26   4\r\n  11   2  -2 6637.99 1131.44   7\r\n -11   2   2 5717.22 1070.32   2\r\n  11   2  -2 5137.88 1144.55   2\r\n  11  -2   2 5689.21 1159.66   6\r\n -11   2   2 5196.86 1117.76   6\r\n  11  -2   2 7137.24 811.370   7\r\n  11   2  -2 6369.27 512.463   5\r\n  11   2  -2 5975.97 1289.73   4\r\n -11   2   1 18701.9 1465.76   4\r\n  11  -2   1 21287.3 1822.96   4\r\n -11  -2  -1 23570.3 1910.91   4\r\n -11  -2  -1 19105.1 1484.24   2\r\n -11   2   1 16551.3 1649.56   2\r\n -11   2   1 18279.7 1872.35   6\r\n  11   2  -1 20395.0 1955.64   2\r\n  11  -2   1 22145.5 1728.13   2\r\n -11  -2   0 7371.01 1091.60   2\r\n -11   2   0 6190.88 996.029   4\r\n  11  -2   0 6339.09 972.117   4\r\n  11   2   0 6838.48 1086.89   2\r\n -11  -2   0 6182.21 1014.09   4\r\n -11   2   0 5306.18 1115.94   6\r\n  11  -2   0 7222.44 594.493   7\r\n  11   2   0 6717.02 781.751   5\r\n -11   2  -1 18545.8 1785.29   4\r\n  11  -2  -1 19964.7 1434.40   4\r\n -11  -2   1 18014.4 1678.58   4\r\n  11  -2  -1 19966.5 1288.24   7\r\n -11   2  -1 18208.3 1842.34   6\r\n  11   2   1 19765.3 1569.01   2\r\n  11   2   1 18083.1 1531.07   5\r\n -11  -2   1 18104.2 1830.92   2\r\n  11   2   2 8040.14 1241.96   5\r\n  11  -2  -2 7130.82 1228.12   2\r\n -11   2  -2 7724.59 1543.60   3\r\n  11  -2  -2 6253.06 992.794   1\r\n -11  -2   2 8723.60 1225.18   4\r\n  11  -2  -2 5731.25 821.997   4\r\n -11   2  -2 8561.74 1416.56   4\r\n  11  -2  -2 6932.29 989.942   7\r\n -11  -2   2 9524.83 1414.40   2\r\n  11   2   2 5692.78 1058.80   4\r\n -11   2  -2 7686.39 1245.88   6\r\n -11   2  -3 18863.2 2562.38   3\r\n  11  -2  -3 16241.8 1694.77   1\r\n  11   2   3 17667.2 1856.46   4\r\n -11  -2   3 18366.8 2144.97   2\r\n  11  -2  -3 17438.0 1865.30   7\r\n -11   2  -3 19889.7 1963.82   6\r\n  11  -2  -3 17016.1 1772.53   5\r\n -11   2  -4 20679.8 3036.99   3\r\n  11   2   4 21832.3 2266.82   4\r\n  11  -2  -4 22652.1 2457.41   7\r\n -11  -2   4 22519.9 2471.36   2\r\n -11   2  -4 23372.1 2188.15   6\r\n  11  -2  -4 19704.7 2155.41   5\r\n  11  -2  -5 6725.02 1516.96   5\r\n -11  -2   5 5244.72 1524.63   2\r\n  11  -2  -5 6850.99 1627.13   7\r\n  11   2   5 6250.97 1486.99   4\r\n  11  -2  -6 2642.76 1268.76   5\r\n -11  -2   6 1222.59 874.416   2\r\n  11  -2  -6 2391.57 1374.71   7\r\n  11   2   6 1685.72 1096.19   4\r\n  11   3  -6 45.8515 718.670   7\r\n  11  -3   6 1422.39 1262.90   4\r\n -11   3   6 643.270 757.611   6\r\n -11  -3  -5 407.027 1189.76   3\r\n  11   3  -5 1617.66 1155.81   7\r\n  11  -3   5 2498.97 1160.08   4\r\n -11   3   5 1820.89 938.854   6\r\n -11  -3  -5 1861.96 1215.43   5\r\n  11   3  -4 1394.35 1103.59   7\r\n  11  -3   4 1374.80 806.407   7\r\n -11  -3  -4 1948.07 1344.93   3\r\n  11  -3   4 1907.64 1330.62   4\r\n -11   3   4 1203.51 289.539   4\r\n -11   3   4 2348.57 913.140   6\r\n  11   3  -4 1601.84 279.898   1\r\n -11  -3  -4 1493.15 915.280   5\r\n -11  -3  -3 16849.7 2343.71   3\r\n -11   3   3 22557.6 1243.78   4\r\n  11  -3   3 22536.5 2447.37   4\r\n -11  -3  -3 23891.8 2243.08   4\r\n  11  -3   3 23067.4 1601.06   7\r\n -11  -3  -3 24384.7 1037.72   2\r\n -11   3   3 22523.7 1829.49   7\r\n  11   3  -3 22586.3 2263.26   7\r\n -11   3   3 21601.4 2294.21   6\r\n  11   3  -3 22269.2 1169.36   1\r\n -11  -3  -3 21008.5 2172.43   5\r\n -11   3   2 26709.8 1559.01   4\r\n  11  -3   2 24928.0 2274.50   4\r\n -11  -3  -2 26655.2 2218.78   4\r\n  11  -3   2 25472.8 1219.32   7\r\n -11   3   2 25459.4 1568.18   7\r\n  11   3  -2 24196.7 2136.44   7\r\n -11  -3  -2 24239.3 1550.07   2\r\n -11   3   2 26987.9 2469.03   6\r\n  11  -3   2 27243.3 2395.16   6\r\n -11   3   1 30424.2 1943.36   4\r\n  11  -3   1 30666.0 2283.48   4\r\n -11  -3  -1 29857.8 2242.51   4\r\n -11  -3  -1 31431.7 2028.56   2\r\n -11   3   1 30742.1 2490.38   6\r\n  11  -3   1 34358.5 2633.50   6\r\n  11  -3   1 33278.5 2254.20   2\r\n -11   3   0 198596. 5321.46   4\r\n  11  -3   0 201709. 4918.70   4\r\n -11  -3   0 196172. 5561.77   4\r\n  11  -3   0 210787. 5646.57   2\r\n  11   3   0 209130. 5987.99   4\r\n -11  -3   0 204375. 5512.14   2\r\n -11   3   0 208834. 6207.35   6\r\n  11   3   0 205386. 3814.47   5\r\n -11   3  -1 31028.9 2579.72   3\r\n -11  -3   1 32229.3 2483.67   2\r\n  11  -3  -1 34029.0 1820.69   4\r\n -11  -3   1 30455.9 2306.83   4\r\n  11  -3  -1 32456.8 1494.17   7\r\n  11  -3  -1 32379.6 2205.77   1\r\n  11   3   1 31418.9 2373.44   4\r\n  11  -3  -1 28675.3 2291.75   2\r\n -11   3  -1 33583.3 2626.81   6\r\n  11   3   1 32397.5 1997.51   5\r\n -11   3  -2 25862.4 2674.42   3\r\n  11   3   2 23182.2 2064.26   4\r\n  11  -3  -2 25806.3 1432.94   4\r\n  11  -3  -2 24451.6 1758.62   7\r\n -11  -3   2 26418.9 2428.22   2\r\n -11   3  -2 27213.0 2389.31   6\r\n  11   3   2 26786.4 2178.75   5\r\n -11   3  -3 20504.7 2775.12   3\r\n  11   3   3 27083.8 2330.56   4\r\n  11  -3  -3 21430.9 1979.12   7\r\n -11  -3   3 20757.5 2328.76   2\r\n -11   3  -3 22457.7 2279.69   6\r\n  11  -3  -3 22915.7 2227.30   5\r\n  11  -3  -4 493.232 873.663   5\r\n -11   3  -4 1994.09 1524.97   3\r\n -11  -3   4 1233.35 1026.19   2\r\n  11  -3  -4 1380.76 784.521   7\r\n  11   3   4 2377.57 946.928   4\r\n  11  -3  -5 3115.79 1070.94   5\r\n -11  -3   5 2906.74 1053.34   2\r\n  11  -3  -5 2767.53 1229.57   7\r\n  11   3   5 1976.02 963.643   4\r\n  11  -3  -6 2589.39 943.378   5\r\n -11  -3   6-261.157 691.064   2\r\n  11  -3  -6 773.641 1129.92   7\r\n  11   3   6-371.563 1040.57   4\r\n  11   4  -6 1073.12 1156.63   7\r\n  11  -4   6 1659.66 1348.00   4\r\n -11  -4  -6 2844.94 1308.78   5\r\n -11  -4  -5 973.415 1545.64   3\r\n  11  -4   5 7289.08 1895.64   4\r\n  11   4  -5 8182.07 1887.70   7\r\n -11   4   5 4148.98 1224.46   6\r\n -11  -4  -5 4560.81 1502.52   5\r\n -11  -4  -4 5549.16 1582.90   3\r\n  11  -4   4 5856.88 1667.02   4\r\n  11   4  -4 4666.74 1532.24   7\r\n  11  -4   4 6500.90 1064.34   7\r\n -11   4   4 7527.21 1502.30   6\r\n -11  -4  -4 5769.22 1439.86   5\r\n -11  -4  -3 12450.5 2093.62   3\r\n -11   4   3 13338.4 1528.10   7\r\n  11  -4   3 13471.3 1050.32   7\r\n  11  -4   3 9076.43 1798.30   4\r\n -11  -4  -3 10497.7 871.115   2\r\n  11   4  -3 9739.84 1675.25   7\r\n -11   4   3 11310.1 1809.84   6\r\n -11  -4  -3 11696.1 1800.00   5\r\n  11  -4   2 11845.4 1716.44   4\r\n -11  -4  -2 12308.9 1299.27   2\r\n -11  -4  -2 14453.0 1643.02   4\r\n  11   4  -2 14539.4 1795.58   7\r\n -11   4   2 12897.6 1149.52   7\r\n -11   4   2 11722.8 1728.25   6\r\n -11  -4  -2 11596.2 1466.94   5\r\n  11  -4   1 19532.9 1954.60   4\r\n -11  -4  -1 20012.8 1992.01   4\r\n -11  -4  -1 18211.2 1728.31   2\r\n -11   4   1 21034.1 2234.34   6\r\n -11  -4  -1 16796.3 1498.63   5\r\n  11   4   0 18494.0 2104.73   4\r\n  11  -4   0 21779.1 1791.25   4\r\n -11  -4   0 16082.8 1798.87   2\r\n -11   4   0 20389.8 2231.81   6\r\n  11   4   0 17109.7 1105.27   5\r\n -11   4  -1 17730.6 2157.09   3\r\n  11  -4  -1 18072.2 1409.35   4\r\n  11   4   1 18487.7 2011.82   4\r\n -11  -4   1 20689.3 2193.97   2\r\n -11   4  -1 18295.2 2116.67   6\r\n  11   4   1 18413.3 1516.29   5\r\n -11   4  -2 11979.0 1967.39   3\r\n  11  -4  -2 13752.5 1009.84   4\r\n  11   4   2 13899.9 1765.25   4\r\n -11  -4   2 11157.8 1836.43   2\r\n  11   4   2 14474.0 1603.12   5\r\n  11  -4  -3 11334.5 1766.14   5\r\n -11   4  -3 10435.3 2076.32   3\r\n -11  -4   3 11315.1 2021.90   2\r\n -11   4  -3 9923.97 1728.85   6\r\n  11   4   3 10669.7 1675.14   4\r\n  11  -4  -4 7164.09 1513.76   5\r\n -11  -4   4 5318.28 1616.43   2\r\n  11   4   4 5858.79 1290.43   4\r\n  11  -4  -5 5261.52 1462.57   5\r\n -11  -4   5 5574.84 1367.93   2\r\n  11   4   5 5046.36 1402.40   4\r\n  11  -4  -6 704.074 1346.91   5\r\n -11  -4   6 4037.70 1335.03   2\r\n  11   4   6 1424.12 578.579   4\r\n -11  -5  -5 1243.61 1214.30   5\r\n  11  -5   5 1265.46 914.529   4\r\n  11   5  -5 906.547 901.857   7\r\n -11   5   5 2148.63 774.973   6\r\n -11  -5  -4-81.2156 580.372   5\r\n -11  -5  -4 590.870 1108.72   3\r\n  11  -5   4 1006.57 950.155   4\r\n  11   5  -4 2270.13 1183.76   7\r\n -11   5   4 1245.69 801.392   6\r\n -11  -5  -3 2899.45 1119.28   5\r\n -11  -5  -3 5438.02 1382.72   3\r\n  11  -5   3 4673.99 1424.48   4\r\n -11  -5  -3 1763.30 607.242   2\r\n -11   5   3 616.759 706.254   7\r\n  11   5  -3 3482.33 1163.89   7\r\n -11   5   3 3946.19 1245.23   6\r\n  11   5  -3 2931.93 364.814   1\r\n -11  -5  -2 7313.26 1307.01   5\r\n -11  -5  -2 7179.65 1541.64   3\r\n -11   5   2 8887.23 980.208   7\r\n  11   5  -2 9667.26 1566.47   7\r\n -11  -5  -2 7391.10 1166.17   2\r\n  11  -5   2 7827.46 1574.16   4\r\n -11   5   2 9541.11 1618.31   6\r\n  11  -5   1 18898.4 2008.45   4\r\n -11   5   1 16574.2 704.673   7\r\n -11   5   1 15498.5 2114.97   6\r\n -11  -5  -1 19105.8 1917.99   2\r\n -11  -5  -1 19472.7 1700.08   5\r\n -11   5   0 6072.28 1158.62   3\r\n  11  -5   0 5354.60 1043.39   4\r\n -11  -5   0 6548.24 1353.35   2\r\n -11   5   0 5558.77 1338.74   6\r\n  11   5   0 5771.52 1381.77   4\r\n -11   5  -1 18505.3 2160.87   3\r\n  11  -5  -1 17145.7 1467.57   4\r\n  11   5   1 17865.1 2177.27   4\r\n -11   5  -1 16393.0 2302.83   6\r\n -11  -5   1 20112.5 2308.48   2\r\n  11   5   1 17810.1 1506.65   5\r\n  11  -5  -2 8998.89 1595.28   5\r\n -11   5  -2 8444.64 1799.71   3\r\n  11  -5  -2 8604.20 795.504   4\r\n -11  -5   2 8194.93 1709.25   2\r\n -11   5  -2 7668.45 1582.60   6\r\n  11   5   2 8970.74 1593.30   4\r\n  11   5   2 9761.96 1366.76   5\r\n  11  -5  -3 3047.85 1073.96   5\r\n -11   5  -3 722.776 1036.93   3\r\n -11   5  -3 2259.26 983.860   6\r\n  11   5   3 2532.69 1017.12   4\r\n -11  -5   3 1892.89 1205.74   2\r\n  11  -5  -4 2466.73 1230.07   5\r\n -11  -5   4 638.455 945.180   2\r\n  11   5   4 2370.39 1070.22   4\r\n  11  -5  -5 1275.39 1028.71   5\r\n -11  -5   5 166.831 983.543   2\r\n  11   5   5 1776.52 885.821   4\r\n -11  -6  -5 824.344 1046.76   5\r\n  11   6  -5 431.639 1188.62   7\r\n -11   6   5-761.993 716.326   6\r\n -11  -6  -4 4320.71 1389.80   5\r\n -11  -6  -4-285.397 1277.20   3\r\n  11  -6   4 417.856 1273.66   4\r\n  11   6  -4 1805.66 1017.53   7\r\n -11   6   4 2068.95 942.539   6\r\n -11  -6  -3 4228.79 1233.99   5\r\n -11  -6  -3 5898.26 1683.67   3\r\n -11  -6  -3 4351.44 966.121   2\r\n  11  -6   3 4582.51 1644.42   4\r\n -11   6   3 4570.09 1385.39   6\r\n  11   6  -3 3876.25 1418.44   7\r\n -11  -6  -2 15047.1 2014.53   3\r\n  11  -6   2 18181.1 2353.19   4\r\n  11   6  -2 15081.3 2059.99   7\r\n -11  -6  -2 16747.1 1856.11   2\r\n -11   6   2 14839.8 2208.42   6\r\n -11  -6  -2 14233.9 1867.97   5\r\n  11   6  -2 15660.9 1332.24   1\r\n -11  -6  -1 1677.86 687.496   5\r\n -11   6   1 1173.43 627.871   3\r\n  11  -6   1 2314.09 991.079   4\r\n -11  -6  -1 2980.14 1034.48   2\r\n -11   6   1 2691.54 1033.18   6\r\n -11   6   0 524.631 664.976   3\r\n  11  -6   0 414.250 597.650   4\r\n -11  -6   0 504.338 679.312   2\r\n -11   6   0 433.656 694.343   6\r\n -11  -6   0 1571.40 374.965   5\r\n -11   6  -1 3668.68 983.513   3\r\n  11  -6  -1 3442.32 827.145   4\r\n -11  -6   1 3034.08 1231.78   2\r\n -11   6  -1 1475.85 1166.24   6\r\n  11   6   1 866.386 1216.02   4\r\n  11  -6  -2 14125.4 2071.06   5\r\n  11  -6  -2 15065.3 1027.32   4\r\n  11   6   2 16933.3 2363.86   4\r\n -11  -6   2 14537.8 2402.02   2\r\n -11   6  -2 13511.8 2302.57   6\r\n  11  -6  -3 4416.48 1425.32   5\r\n -11  -6   3 5663.66 1550.52   2\r\n  11   6   3 3917.69 1352.60   4\r\n  11  -6  -4 2827.01 1284.91   5\r\n -11  -6   4 1342.27 992.651   2\r\n  11   6   4 4934.20 1265.39   4\r\n  11  -6  -5 4766.99 1398.52   5\r\n -11  -6   5 1801.73 1196.15   2\r\n -11  -7  -4-2065.07 983.209   5\r\n  11  -7   4 601.169 1026.90   4\r\n  11   7  -4 286.316 624.377   7\r\n -11  -7  -3-105.210 924.578   5\r\n  11  -7   3 597.124 846.262   4\r\n  11   7  -3-129.972 769.744   7\r\n -11   7   3-1534.54 1118.96   6\r\n -11  -7  -2 2117.70 688.607   5\r\n  11  -7   2 495.242 1004.88   4\r\n -11  -7  -2 1627.22 850.736   2\r\n  11   7  -2 1877.13 1015.72   7\r\n -11   7   2 2282.51 1181.76   6\r\n -11  -7  -1 7786.19 1312.44   5\r\n  11  -7   1 8532.05 1650.72   4\r\n  11   7  -1 7458.93 1261.61   1\r\n -11  -7  -1 10695.5 1851.87   2\r\n -11   7   1 7335.49 1737.33   6\r\n -11   7   0 7715.83 1436.69   3\r\n  11  -7   0 7944.27 1446.75   4\r\n -11  -7   0 9967.77 1939.72   2\r\n -11   7   0 10650.0 2021.70   6\r\n  11   7   0 6731.37 1300.64   1\r\n -11  -7   0 8339.44 1013.42   5\r\n  11  -7  -1 9291.52 1225.16   4\r\n -11  -7   1 8827.24 1950.82   2\r\n -11   7  -1 9520.49 2011.77   6\r\n  11  -7  -2 866.764 985.257   5\r\n -11  -7   2 3390.62 1151.13   2\r\n  11  -7  -3 460.820 761.167   5\r\n  11   7   3 622.977 1007.76   4\r\n  11   7   4 561.437 1034.52   1\r\n -11  -7   4 921.773 1073.56   2\r\n -11  -8  -2-430.723 708.576   5\r\n  11  -8   2 685.009 591.476   4\r\n  11   8  -2 425.906 778.762   7\r\n -11  -8  -2-1368.42 848.956   2\r\n -11   8   2-639.677 898.919   6\r\n  11  -8   1 497.206 917.337   4\r\n -11  -8  -1 2618.63 1180.78   2\r\n -11   8   1 1185.35 963.023   6\r\n  11  -8   0 909.768 832.052   4\r\n -11   8   0 2044.36 1224.59   6\r\n -11  -8   0 2801.61 1386.45   2\r\n  11   8   0-71.0460 962.475   1\r\n  11  -8  -1 284.708 941.535   5\r\n  11   8   1 2641.67 1075.66   1\r\n -11  -8   1 486.036 1001.06   2\r\n  11  -8  -2-707.045 1252.02   5\r\n  11   8   2 662.476 1016.60   1\r\n -11  -8   2-922.078 870.079   2\r\n -12   0   0 58262.3 2842.25   4\r\n  12   0   0 50572.8 2626.82   4\r\n -12   0   0 56669.6 2703.91   2\r\n  12   0   0 56486.7 2802.53   2\r\n -12   0  -1 42656.8 2613.26   4\r\n -12   0   1 45249.3 2422.48   4\r\n  12   0  -1 46031.6 2465.98   4\r\n -12   0  -1 40235.5 2086.89   2\r\n  12   0  -1 43443.4 2151.79   7\r\n -12   0   1 42334.8 2561.23   2\r\n  12   0   1 37531.7 2173.87   2\r\n -12   0  -1 35854.2 2384.26   6\r\n -12   0  -2 72480.4 3630.66   4\r\n -12   0   2 70984.4 3050.33   4\r\n  12   0  -2 64486.1 3046.20   4\r\n  12   0  -2 56998.0 2826.02   7\r\n -12   0   2 62489.1 3316.48   2\r\n  12   0   2 59627.6 2539.05   2\r\n -12   0  -2 63646.9 2983.67   6\r\n  12   0   2 59601.4 3029.05   5\r\n -12   0   3 537.970 783.093   2\r\n  12   0   3 1285.57 486.890   2\r\n -12   0  -3 518.394 1120.02   3\r\n  12   0  -3 1260.11 526.436   5\r\n  12   0  -3 1298.00 521.037   1\r\n  12   0  -3 1418.49 690.076   7\r\n -12   0   3 79.1529 700.877   7\r\n  12   0   3 1011.94 690.990   4\r\n -12   0   3 862.812 421.909   4\r\n -12   0  -3 445.110 405.580   6\r\n -12   0   4 1565.54 943.953   2\r\n  12   0   4 1506.08 397.539   2\r\n  12   0  -4 1204.44 621.094   5\r\n  12   0  -4 1930.87 529.642   1\r\n -12   0  -4 1924.73 1285.06   3\r\n  12   0  -4 851.542 789.537   7\r\n  12   0   4 1710.78 901.087   4\r\n -12   0  -4 1378.01 562.303   6\r\n -12   0   4 1978.58 582.808   4\r\n  12   0  -5-42.8122 562.979   5\r\n -12   0  -5 6.80729 1360.65   3\r\n  12   0  -5-507.212 1086.47   7\r\n  12   0  -5 897.499 572.320   1\r\n  12   0   5 534.748 850.081   4\r\n -12   0   5 689.297 746.515   2\r\n  12   0  -6 1215.77 766.243   5\r\n  12   0  -6 2174.95 1309.56   7\r\n  12   0   6 281.789 1030.66   4\r\n -12   0   6 3040.79 1085.76   2\r\n  12   1  -6 1357.16 673.990   5\r\n  12   1  -6 1346.40 1065.43   7\r\n  12  -1   6 1517.40 1252.73   4\r\n -12   1   6-68.8123 439.399   2\r\n  12   1  -5 6063.48 1160.66   5\r\n -12  -1  -5 6441.00 2177.98   3\r\n  12   1  -5 5110.82 1610.40   7\r\n  12  -1   5 6518.86 1549.14   4\r\n -12   1   5 8014.02 1041.29   4\r\n -12   1   5 4068.26 1202.00   2\r\n  12   1  -4 2997.09 801.855   5\r\n  12   1  -4 2331.26 613.963   1\r\n -12  -1  -4 3208.37 1559.80   3\r\n  12  -1   4 1944.53 842.686   7\r\n  12   1  -4 1934.43 877.244   7\r\n  12  -1   4 4727.66 1347.24   4\r\n -12  -1  -4 3280.93 578.070   6\r\n -12   1   4 3209.55 702.893   4\r\n  12  -1   4 2456.24 588.080   2\r\n -12   1   4 2833.86 1003.88   2\r\n -12  -1  -3 17076.5 2416.45   3\r\n  12  -1   3 16450.0 1965.36   4\r\n -12   1   3 17601.4 1502.14   4\r\n  12   1  -3 17763.0 1395.27   1\r\n  12  -1   3 16619.8 1529.34   7\r\n  12   1  -3 13797.0 1742.92   7\r\n  12  -1   3 18344.4 1486.76   2\r\n -12   1   3 19156.0 1746.51   7\r\n -12   1   3 15507.0 1877.84   2\r\n -12  -1  -3 18278.8 1498.16   6\r\n  12   1  -3 16985.4 1335.98   5\r\n -12  -1  -2 26266.9 2193.42   4\r\n  12  -1   2 26731.5 2273.78   4\r\n -12   1   2 22513.1 1669.12   4\r\n -12  -1  -2 25610.4 1492.43   2\r\n  12   1  -2 20519.6 2050.93   4\r\n  12   1  -2 25412.9 2022.09   7\r\n -12   1   2 22196.8 2059.21   2\r\n  12  -1   2 23436.0 1734.90   2\r\n -12  -1  -2 25173.1 1877.73   6\r\n  12   1  -2 23975.4 1326.65   5\r\n -12  -1  -1 15772.1 1684.12   4\r\n -12   1   1 16755.7 1472.08   4\r\n  12  -1   1 14798.7 1538.43   4\r\n  12   1  -1 14938.6 1596.32   4\r\n -12   1   1 14806.3 1557.47   2\r\n  12   1  -1 16422.6 1522.71   7\r\n -12  -1  -1 15596.9 1381.99   2\r\n  12  -1   1 16204.2 1494.13   2\r\n  12   1  -1 15752.9 1683.63   2\r\n  12   1   0 25907.6 2007.28   2\r\n -12   1   0 30173.2 2070.90   4\r\n -12  -1   0 28896.8 2049.91   4\r\n  12  -1   0 24817.6 1836.27   4\r\n -12   1   0 26484.3 1883.77   2\r\n -12  -1   0 28593.8 1992.96   2\r\n  12  -1   0 27548.2 2023.81   2\r\n -12   1   0 27241.0 2185.67   6\r\n -12   1  -1 15823.0 1662.86   4\r\n -12  -1   1 17728.2 1605.57   4\r\n  12  -1  -1 14240.3 1364.51   4\r\n  12  -1  -1 13731.1 1185.05   7\r\n -12  -1   1 16068.0 1654.90   2\r\n  12   1   1 13644.9 1351.09   2\r\n -12   1  -1 16425.7 1679.99   6\r\n  12   1   1 15141.9 1398.85   5\r\n -12   1  -2 25925.1 2577.97   3\r\n -12   1  -2 29225.5 2398.60   4\r\n  12   1   2 24729.8 2055.45   4\r\n -12  -1   2 24835.4 2000.55   4\r\n  12  -1  -2 24977.3 1791.58   4\r\n  12  -1  -2 23396.2 1836.39   7\r\n  12  -1  -2 26571.9 1889.62   1\r\n -12  -1   2 21146.7 2120.66   2\r\n  12   1   2 25284.5 1622.37   2\r\n -12   1  -2 23808.5 1995.42   6\r\n  12  -1  -2 27654.8 2297.18   2\r\n  12   1   2 24088.1 2015.87   5\r\n -12   1  -3 15698.9 2333.66   3\r\n -12  -1   3 18836.4 2076.92   2\r\n  12  -1  -3 19144.1 1699.58   1\r\n  12   1   3 17129.9 1895.74   4\r\n -12  -1   3 16975.4 1733.86   4\r\n  12  -1  -3 17730.3 1910.88   7\r\n  12   1   3 18693.1 1185.70   2\r\n -12   1  -3 19157.9 1797.49   6\r\n  12  -1  -3 18469.7 1672.85   5\r\n -12  -1   4 2591.12 1040.52   2\r\n  12  -1  -4 4071.26 940.735   1\r\n  12  -1  -4 3596.08 1003.56   5\r\n -12   1  -4 2982.62 1393.54   3\r\n  12  -1  -4 3369.46 1118.53   7\r\n  12   1   4 3468.82 1057.88   4\r\n -12   1  -4 2930.57 838.263   6\r\n -12  -1   5 5370.46 1578.34   2\r\n  12  -1  -5 4918.50 1261.74   5\r\n -12   1  -5 1680.62 1386.08   3\r\n  12  -1  -5 5108.54 1569.06   7\r\n  12   1   5 6599.30 1579.66   4\r\n -12  -1   6-4.56107 462.384   2\r\n  12  -1  -6 282.896 1037.78   5\r\n  12  -1  -6 1654.26 995.410   7\r\n  12   1   6 1383.93 1021.59   4\r\n  12  -2   6 2781.67 1490.38   4\r\n  12   2  -6 4021.16 1584.34   7\r\n -12   2   6 2777.64 1028.74   2\r\n -12   2   6 2798.84 1178.64   6\r\n  12   2  -5 5489.48 1054.81   5\r\n -12  -2  -5 6150.01 1957.76   3\r\n  12   2  -5 8718.55 1772.83   7\r\n  12  -2   5 7317.73 1771.12   4\r\n -12   2   5 7412.87 1477.16   2\r\n  12   2  -4 3404.62 742.528   5\r\n  12   2  -4 4413.27 644.438   1\r\n -12  -2  -4 4814.85 1584.60   3\r\n  12  -2   4 4073.28 930.337   7\r\n -12   2   4 2719.51 591.776   4\r\n  12   2  -4 2462.37 1224.78   7\r\n  12  -2   4 2959.81 795.940   2\r\n -12  -2  -4 2957.60 469.636   6\r\n  12  -2   4 2191.11 1183.02   4\r\n -12   2   4 2935.33 971.087   2\r\n  12  -2   4 4580.36 1170.87   6\r\n  12   2  -3 946.807 355.109   5\r\n  12   2  -3 766.916 449.137   1\r\n -12  -2  -3 544.064 1074.05   3\r\n  12  -2   3 723.242 543.591   7\r\n  12  -2   3 690.613 720.350   4\r\n  12   2  -3-135.290 663.001   7\r\n -12   2   3 821.728 573.476   7\r\n -12   2   3 758.936 349.050   4\r\n  12  -2   3 814.442 430.514   2\r\n -12   2   3-129.135 916.755   2\r\n -12  -2  -3 915.136 493.495   6\r\n  12  -2   3 1172.97 636.406   6\r\n  12  -2   2 2783.60 548.753   7\r\n  12  -2   2 1455.39 894.967   4\r\n  12   2  -2 2086.67 783.214   7\r\n -12  -2  -2 3103.80 822.785   4\r\n -12   2   2 1605.60 493.670   4\r\n -12   2   2 2410.38 602.369   7\r\n -12   2   2 2462.80 854.754   2\r\n  12  -2   2 3488.19 828.459   2\r\n -12   2   2 2045.31 873.670   6\r\n -12  -2  -2 2826.56 559.253   2\r\n  12   2  -2 3080.92 396.353   5\r\n  12   2  -2 1935.05 989.872   4\r\n -12   2   1 19686.4 1588.32   4\r\n  12  -2   1 20359.1 1843.55   4\r\n -12  -2  -1 23725.1 1999.49   4\r\n -12   2   1 20575.0 1865.29   2\r\n  12   2  -1 15084.4 1763.26   4\r\n  12  -2   1 21487.2 1804.16   2\r\n -12  -2  -1 21916.9 1640.15   2\r\n  12   2  -1 19744.9 1953.61   2\r\n -12   2   1 18499.7 1964.75   6\r\n  12   2   0 976.189 297.302   5\r\n -12  -2   0-41.1130 571.346   2\r\n -12   2   0 457.414 392.233   4\r\n  12  -2   0 201.138 258.263   7\r\n  12   2   0 756.826 443.644   2\r\n  12  -2   0-54.4240 464.111   4\r\n -12  -2   0 1016.76 553.283   4\r\n -12   2   0 584.839 534.063   6\r\n  12  -2   0 591.704 481.514   2\r\n -12   2  -1 20138.7 1892.91   4\r\n  12  -2  -1 21013.7 1550.81   4\r\n -12  -2   1 23231.6 1978.50   4\r\n  12   2   1 18854.7 1863.23   4\r\n  12  -2  -1 19968.5 1333.10   7\r\n -12  -2   1 19880.1 1945.22   2\r\n -12   2  -1 15748.4 1745.95   6\r\n  12   2   1 22003.7 1750.24   2\r\n  12   2   1 19173.3 1588.89   5\r\n  12   2   2 3516.43 907.850   5\r\n -12   2  -2 3532.40 1146.33   3\r\n -12  -2   2 2822.11 976.681   2\r\n -12   2  -2 2713.38 857.771   4\r\n  12  -2  -2 2104.21 720.214   7\r\n  12   2   2 2248.90 914.633   4\r\n  12   2   2 1999.89 568.914   2\r\n -12   2  -2 3098.48 907.151   6\r\n -12  -2   2 3320.40 870.106   4\r\n  12  -2  -2 2478.05 773.715   1\r\n  12  -2  -2 2526.33 628.154   4\r\n  12  -2  -3 1134.58 705.848   5\r\n -12   2  -3 1836.86 1153.64   3\r\n -12  -2   3 970.649 788.314   2\r\n  12  -2  -3 882.078 632.004   7\r\n  12   2   3 660.821 723.040   4\r\n -12   2  -3 658.919 612.168   6\r\n  12  -2  -4 1983.96 1030.90   5\r\n -12  -2   4 3360.19 1135.34   2\r\n -12   2  -4 1685.28 1269.04   3\r\n  12  -2  -4 2113.98 1099.12   7\r\n  12   2   4 2810.97 1041.92   4\r\n -12   2  -4 2060.90 912.001   6\r\n  12  -2  -5 7355.33 1591.11   5\r\n -12  -2   5 8110.62 1702.21   2\r\n  12  -2  -5 6542.88 1736.32   7\r\n  12   2   5 7969.62 1612.15   4\r\n  12  -2  -6 3488.32 1419.95   5\r\n -12  -2   6 4377.52 1399.32   2\r\n  12  -2  -6 4561.94 1456.27   7\r\n  12   2   6 5716.64 1534.84   4\r\n  12   3  -6 1141.86 1020.36   7\r\n  12  -3   6 329.885 1139.09   4\r\n -12   3   6 841.515 939.367   6\r\n -12  -3  -5 2923.73 1647.90   3\r\n  12  -3   5 2374.73 1392.13   4\r\n  12   3  -5 3119.09 1574.37   7\r\n -12   3   5 3446.08 1054.09   6\r\n -12  -3  -4 15919.5 2700.08   3\r\n -12   3   4 16255.4 1008.74   4\r\n  12  -3   4 17400.2 2397.11   4\r\n  12  -3   4 16345.2 1608.71   7\r\n  12   3  -4 15166.9 2240.35   7\r\n -12  -3  -4 15545.3 768.628   6\r\n -12   3   4 13561.9 1988.49   6\r\n  12   3  -4 16030.8 949.194   1\r\n -12  -3  -3 11892.0 2154.89   3\r\n -12   3   3 11421.7 991.055   4\r\n  12  -3   3 13401.4 1925.22   4\r\n -12  -3  -3 12196.6 842.459   2\r\n  12  -3   3 11783.6 1190.04   7\r\n -12   3   3 14134.3 1469.67   7\r\n  12   3  -3 11471.6 1791.75   7\r\n -12   3   3 12152.0 1764.13   6\r\n -12  -3  -2 1218.59 480.213   2\r\n  12  -3   2 1823.43 771.653   4\r\n -12   3   2 2409.82 593.732   4\r\n  12  -3   2 1720.18 402.423   7\r\n -12   3   2 1849.74 534.656   7\r\n  12   3  -2 663.831 739.758   7\r\n  12  -3   2 2244.35 749.589   2\r\n -12   3   2 2579.66 975.520   6\r\n  12   3  -1 18066.8 2077.42   4\r\n -12   3   1 18346.8 1586.01   4\r\n  12  -3   1 19664.8 1926.46   4\r\n -12  -3  -1 21678.5 2024.14   4\r\n  12  -3   1 23818.0 2039.22   2\r\n -12  -3  -1 21773.4 1775.14   2\r\n -12   3   1 18109.5 2068.68   6\r\n  12  -3   1 21916.1 2245.79   6\r\n  12   3  -1 19707.5 760.916   5\r\n -12   3   0 8165.89 1204.76   4\r\n  12  -3   0 8243.79 1154.32   4\r\n -12  -3   0 6064.97 1233.84   2\r\n -12  -3   0 9419.71 1368.27   4\r\n -12   3   0 8067.11 1527.59   6\r\n  12  -3   0 7951.27 1303.27   2\r\n  12   3   0 8403.95 1489.56   4\r\n  12   3   0 8542.66 912.210   5\r\n -12   3  -1 21473.5 2093.85   4\r\n  12  -3  -1 21130.3 1566.07   4\r\n  12  -3  -1 20555.6 1256.28   7\r\n  12   3   1 24108.6 2195.94   4\r\n -12  -3   1 19970.4 2107.24   2\r\n -12   3  -1 20035.4 2148.35   6\r\n  12   3   1 21661.7 1724.74   5\r\n -12   3  -1 20695.3 2266.60   3\r\n  12   3   2 1635.99 730.086   5\r\n -12   3  -2 1841.87 893.723   3\r\n -12  -3   2 1704.46 1032.15   2\r\n  12  -3  -2 1701.80 613.338   7\r\n -12   3  -2 989.110 652.460   6\r\n  12   3   2 516.039 626.839   4\r\n  12  -3  -2 1940.51 545.884   4\r\n  12  -3  -3 9945.14 1534.19   5\r\n -12   3  -3 12960.9 2363.80   3\r\n -12  -3   3 10771.8 1865.33   2\r\n  12   3   3 11517.7 1690.77   4\r\n  12  -3  -3 10951.8 1544.65   7\r\n -12   3  -3 11592.5 1739.97   6\r\n -12   3  -4 19266.5 2993.66   3\r\n  12   3   4 15417.0 1990.75   4\r\n  12  -3  -4 16429.1 2083.06   7\r\n -12  -3   4 16961.1 2331.28   2\r\n -12   3  -4 14896.5 1998.50   6\r\n  12  -3  -4 18671.7 2235.89   5\r\n  12  -3  -5 3330.09 1287.42   5\r\n -12  -3   5 3055.10 1243.95   2\r\n  12  -3  -5 3114.37 1247.22   7\r\n  12   3   5 3531.80 1156.93   4\r\n  12  -3  -6 1305.17 1017.77   5\r\n -12  -3   6 3422.72 1464.97   2\r\n  12  -3  -6 2702.88 1078.44   7\r\n  12   3   6 1314.83 1115.65   4\r\n  12   4  -6 4624.82 1923.75   7\r\n  12  -4   6 5335.17 1725.97   4\r\n -12  -4  -6 4607.71 1800.33   5\r\n  12  -4   5 1629.56 974.816   4\r\n  12   4  -5 1166.66 1119.54   7\r\n -12   4   5 1922.18 701.055   6\r\n -12  -4  -5 537.960 1058.71   5\r\n -12  -4  -4-965.692 1068.45   3\r\n  12  -4   4-518.952 746.394   4\r\n  12   4  -4-68.0838 991.409   7\r\n -12   4   4 84.7505 667.915   6\r\n -12  -4  -4 93.3518 847.296   5\r\n -12  -4  -3 4010.17 613.356   2\r\n -12  -4  -3 4295.44 1413.12   3\r\n  12  -4   3 3998.62 1367.86   4\r\n -12   4   3 3403.22 885.225   7\r\n  12  -4   3 4652.84 649.413   7\r\n  12   4  -3 6013.39 1374.07   7\r\n -12   4   3 4673.05 1159.52   6\r\n -12  -4  -3 2580.62 977.270   5\r\n -12  -4  -2 1046.15 548.060   2\r\n  12  -4   2 1519.74 909.177   4\r\n -12   4   2 1327.06 470.552   7\r\n  12   4  -2 1389.33 927.672   7\r\n -12   4   2 1424.83 863.668   6\r\n -12  -4  -2 2068.85 738.895   5\r\n -12  -4  -1 5893.88 1089.65   2\r\n  12  -4   1 6176.41 1221.98   4\r\n -12   4   1 5883.86 1374.10   6\r\n  12   4  -1 7538.73 1631.64   4\r\n  12  -4   0 31218.2 2177.69   4\r\n -12  -4   0 26598.0 2325.41   2\r\n -12   4   0 27873.1 2636.40   6\r\n  12   4   0 30729.1 1490.90   5\r\n -12   4  -1 8305.73 1539.85   3\r\n  12   4   1 6818.10 1017.44   5\r\n  12  -4  -1 7433.24 990.691   4\r\n -12  -4   1 6830.57 1365.48   2\r\n -12   4  -1 9512.25 1654.77   6\r\n  12   4   1 6693.56 1390.88   4\r\n  12   4   2 1351.69 668.486   5\r\n -12   4  -2 1770.38 1022.00   3\r\n -12  -4   2 143.389 1041.16   2\r\n -12   4  -2 113.289 996.980   6\r\n  12  -4  -2 699.426 424.259   4\r\n  12   4   2 770.737 834.561   4\r\n  12  -4  -3 3929.89 1155.45   5\r\n -12   4  -3 4635.75 1340.47   3\r\n -12  -4   3 3677.22 1328.77   2\r\n -12   4  -3 5042.38 1377.07   6\r\n  12   4   3 3996.13 1195.37   4\r\n  12  -4  -4 186.642 788.488   5\r\n -12   4  -4-616.941 1096.50   3\r\n -12  -4   4 828.194 964.955   2\r\n  12   4   4 405.637 799.506   4\r\n  12  -4  -5 1185.71 1209.91   5\r\n -12  -4   5 400.776 980.592   2\r\n  12   4   5 1058.65 867.717   4\r\n  12  -4  -6 4310.77 1577.42   5\r\n -12  -4   6 7870.12 1802.38   2\r\n  12   4   6 4578.89 1295.82   4\r\n  12  -5   5 3030.90 1535.36   4\r\n  12   5  -5 3884.30 1417.84   7\r\n -12   5   5 5702.31 1270.52   6\r\n -12  -5  -5 2165.77 1373.85   5\r\n -12  -5  -4 5568.55 1865.43   3\r\n  12  -5   4 5347.41 1782.48   4\r\n  12   5  -4 4641.67 1390.46   7\r\n -12   5   4 6255.76 1417.44   6\r\n -12  -5  -4 3780.95 1263.83   5\r\n -12  -5  -3 7210.50 1760.99   3\r\n -12  -5  -3 4802.62 856.402   2\r\n  12  -5   3 4751.42 1286.41   4\r\n -12   5   3 4645.43 954.137   7\r\n  12   5  -3 7099.83 1571.82   7\r\n -12   5   3 5070.31 1515.39   6\r\n -12  -5  -3 6435.88 1443.54   5\r\n -12  -5  -2 1072.47 610.108   2\r\n  12  -5   2 1324.42 720.577   4\r\n -12   5   2 2047.00 502.266   7\r\n -12   5   2 1976.68 915.265   6\r\n  12   5  -2 1854.09 834.606   7\r\n -12  -5  -2 1005.70 979.410   3\r\n -12  -5  -2 455.602 629.325   5\r\n  12  -5   1 164.188 678.525   4\r\n -12  -5  -1 8.32891 650.504   2\r\n -12   5   1-439.130 656.762   6\r\n -12  -5  -1-940.148 570.819   5\r\n -12   5   0 3062.49 1062.18   3\r\n -12  -5   0 4395.70 1029.38   2\r\n  12  -5   0 3860.70 877.600   4\r\n -12   5   0 3399.32 1185.20   6\r\n  12   5   0 1048.47 1132.30   4\r\n -12   5  -1 495.277 753.621   3\r\n  12   5   1 364.614 363.860   5\r\n -12  -5   1-1594.75 1023.62   2\r\n  12  -5  -1 135.769 421.983   4\r\n -12   5  -1-1383.68 1005.12   6\r\n  12   5   1-32.5097 874.603   4\r\n  12   5   2 1255.41 708.885   5\r\n -12   5  -2 1989.85 1085.38   3\r\n -12  -5   2 2182.26 1113.95   2\r\n -12   5  -2 1213.18 1041.18   6\r\n  12  -5  -2 946.629 388.713   4\r\n  12   5   2 141.862 825.516   4\r\n  12  -5  -3 6923.64 1477.40   5\r\n -12   5  -3 7182.28 1982.11   3\r\n -12  -5   3 5370.20 1754.77   2\r\n -12   5  -3 6751.32 1580.66   6\r\n  12   5   3 4826.95 1252.81   4\r\n  12  -5  -4 5436.18 1427.63   5\r\n -12  -5   4 2956.41 1308.23   2\r\n  12   5   4 4097.74 1265.03   4\r\n  12  -5  -5 4029.58 1681.77   5\r\n -12  -5   5 3409.94 1265.75   2\r\n  12   5   5 1303.02 1094.87   4\r\n -12  -6  -4 724.440 740.581   5\r\n -12  -6  -4 30.5448 1308.13   3\r\n  12  -6   4 521.543 1253.12   4\r\n  12   6  -4 435.381 1023.44   7\r\n -12   6   4 1027.87 1115.03   6\r\n -12  -6  -3 1041.72 966.348   5\r\n -12  -6  -3 2701.30 1225.79   3\r\n  12  -6   3 1342.11 1211.35   4\r\n  12   6  -3-275.324 866.796   7\r\n -12   6   3 1907.30 1100.64   6\r\n -12  -6  -2 10443.7 1545.90   5\r\n -12  -6  -2 10419.9 1736.20   3\r\n -12  -6  -2 8303.67 1375.70   2\r\n  12  -6   2 5180.87 1467.80   4\r\n  12   6  -2 8645.02 1652.72   7\r\n -12   6   2 6728.48 1596.03   6\r\n -12   6   1 8691.42 1395.24   3\r\n  12  -6   1 8404.40 1614.30   4\r\n -12  -6  -1 9711.39 1581.96   2\r\n -12   6   1 10047.1 1859.32   6\r\n -12  -6  -1 10242.0 1333.53   5\r\n -12   6   0 1480.45 826.444   3\r\n  12  -6   0 881.756 586.702   4\r\n -12  -6   0-11.4218 805.764   2\r\n -12   6   0 2997.35 1092.05   6\r\n -12   6  -1 11731.6 1877.45   3\r\n  12  -6  -1 9856.72 1239.97   4\r\n -12  -6   1 10111.8 1913.08   2\r\n -12   6  -1 9176.54 1981.90   6\r\n  12   6   1 8453.06 1893.98   4\r\n  12   6   1 10149.3 1208.13   5\r\n  12  -6  -2 6781.63 1566.41   5\r\n -12   6  -2 7797.09 1810.12   3\r\n -12  -6   2 6222.49 1689.55   2\r\n -12   6  -2 7880.53 1849.58   6\r\n  12   6   2 5768.31 1538.73   4\r\n  12  -6  -3 1286.73 1088.13   5\r\n -12  -6   3 2702.66 1163.15   2\r\n  12   6   3 168.183 970.468   4\r\n  12  -6  -4 1121.73 596.935   5\r\n -12  -6   4 2309.58 1232.43   2\r\n  12   6   4-26.4601 1088.72   4\r\n -12  -7  -4-1035.33 1012.58   5\r\n  12  -7   4-224.244 1122.32   4\r\n  12   7  -4 2230.33 1280.71   7\r\n -12   7   4 1519.64 1019.39   6\r\n -12  -7  -3 2196.76 1151.85   5\r\n  12   7  -3 2611.69 1036.86   7\r\n  12  -7   3 1221.17 1102.26   4\r\n -12   7   3 1905.04 1105.92   6\r\n -12  -7  -2 8749.58 1374.10   5\r\n  12   7  -2 4069.80 1403.15   7\r\n  12  -7   2 5284.57 1598.68   4\r\n -12  -7  -2 3517.37 1004.85   2\r\n -12   7   2 4671.61 1442.96   6\r\n -12  -7  -1 1066.84 625.376   5\r\n  12  -7   1 651.682 928.811   4\r\n -12  -7  -1 752.653 906.348   2\r\n  12   7  -1 478.976 594.634   1\r\n -12   7   1 607.270 728.889   6\r\n -12   7   0-475.524 630.106   3\r\n  12  -7   0 88.9081 628.803   4\r\n -12  -7   0 182.091 885.016   2\r\n -12   7   0 194.699 932.986   6\r\n -12   7  -1-208.314 920.657   3\r\n  12  -7  -1 189.244 561.853   4\r\n -12  -7   1 118.936 992.774   2\r\n -12   7  -1 2624.77 1212.46   6\r\n  12  -7  -2 4211.37 1445.85   5\r\n -12  -7   2 4185.93 1593.96   2\r\n -12   7  -2 2136.70 1259.61   6\r\n  12  -7  -3 1731.14 1051.36   5\r\n -12  -7   3 969.469 876.035   2\r\n  12   7   3 4090.26 1290.66   4\r\n  12  -7  -4 3300.89 1512.81   5\r\n -12  -7   4 4293.99 1628.48   2\r\n  12  -8   2 1464.12 1185.63   4\r\n  12   8  -2 18.2984 1109.61   7\r\n -12   8   2 623.053 1341.65   6\r\n  12  -8   1 831.562 921.094   4\r\n -12  -8  -1 515.240 833.181   2\r\n -12   8   1-958.650 1230.20   6\r\n  12  -8   0-1131.11 805.264   4\r\n -12  -8   0-595.587 906.318   2\r\n -12   8   0-940.174 1094.99   6\r\n  12   8   0-126.146 791.476   1\r\n -12   8  -1 144.661 1130.05   6\r\n  12   8   1 911.400 927.406   1\r\n -12  -8   1 5.68181 1029.00   2\r\n  12  -8  -2 296.019 418.953   5\r\n  12   8   2 1394.24 1179.75   1\r\n -12  -8   2 601.699 1524.74   2\r\n  13   0   0 51.8011 460.422   2\r\n -13   0   0 350.400 366.440   4\r\n  13   0   0-80.8962 650.845   4\r\n -13   0   0 348.795 490.901   2\r\n  13   0   1 2774.37 711.692   2\r\n  13   0  -1 2459.34 763.042   2\r\n -13   0  -1 3557.14 868.953   4\r\n  13   0  -1 2501.63 659.496   7\r\n -13   0   1 3061.03 723.863   4\r\n -13   0  -1 2558.46 686.997   2\r\n  13   0  -1 2600.08 746.253   4\r\n -13   0  -1 2048.01 793.240   6\r\n -13   0   1 2286.08 900.044   2\r\n  13   0   2 11147.3 1537.49   4\r\n -13   0   2 9405.13 1253.85   4\r\n  13   0  -2 10792.1 1404.49   4\r\n  13   0  -2 9722.00 1278.08   7\r\n -13   0   2 12029.5 1613.30   2\r\n  13   0   2 9424.80 1129.59   2\r\n -13   0  -2 10644.7 1518.43   4\r\n -13   0  -2 10558.8 1375.96   6\r\n  13   0   2 9203.97 1277.60   5\r\n -13   0  -3 24162.3 2865.47   3\r\n  13   0   3 27112.0 2477.31   4\r\n  13   0  -3 28207.0 1980.43   1\r\n -13   0   3 25178.2 2031.12   4\r\n  13   0  -3 27196.2 2342.03   7\r\n -13   0   3 25464.2 2418.92   2\r\n  13   0   3 27600.5 1737.44   2\r\n -13   0  -3 28055.1 2104.10   6\r\n  13   0  -3 25076.1 1830.12   5\r\n  13   0  -4 4898.36 972.083   5\r\n -13   0  -4 6535.82 1910.46   3\r\n  13   0  -4 4248.96 949.184   1\r\n  13   0   4 6416.86 770.590   2\r\n  13   0  -4 3605.58 1132.37   7\r\n  13   0   4 5565.75 1357.13   4\r\n -13   0  -4 4799.01 870.386   6\r\n -13   0   4 5824.60 1059.80   4\r\n -13   0   4 3207.73 1052.87   2\r\n  13   0  -5 3923.37 956.073   5\r\n -13   0  -5 2017.98 1669.69   3\r\n  13   0  -5 1555.68 1153.43   7\r\n  13   0   5 2652.92 1159.18   4\r\n -13   0   5 2990.27 984.266   2\r\n  13   0  -6 1048.20 815.673   5\r\n  13   0  -6-560.922 755.585   7\r\n  13   0   6 1815.89 1179.60   4\r\n -13   0   6 855.111 1111.36   2\r\n  13   1  -6-22.9496 1100.15   7\r\n  13  -1   6 1332.96 1144.31   4\r\n -13   1   6-372.376 789.379   2\r\n  13   1  -5 2258.93 861.799   5\r\n -13  -1  -5 3228.77 1753.18   3\r\n  13   1  -5 750.306 1105.35   7\r\n  13  -1   5 3377.82 1421.18   4\r\n -13   1   5 3787.63 1058.57   2\r\n  13   1  -4 1701.54 616.690   5\r\n -13  -1  -4 2833.08 1578.06   3\r\n  13   1  -4 1365.71 594.329   1\r\n  13   1  -4 3077.95 1046.22   7\r\n  13  -1   4 1884.96 944.140   4\r\n -13   1   4 1665.55 618.498   4\r\n -13  -1  -4 743.826 406.112   6\r\n  13  -1   4 1885.31 538.752   2\r\n -13   1   4 1522.21 697.598   2\r\n -13  -1  -3 818.637 1191.95   3\r\n  13   1  -3 1799.12 575.934   5\r\n  13   1  -3 1930.77 577.103   1\r\n  13  -1   3 2010.71 613.505   7\r\n -13   1   3 1494.11 649.825   7\r\n  13   1  -3 1795.56 959.027   7\r\n -13   1   3 1862.96 553.005   4\r\n -13  -1  -3 1838.90 575.989   6\r\n  13  -1   3 2054.85 943.246   4\r\n -13   1   3 2042.39 831.975   2\r\n  13  -1   3 1931.42 668.244   2\r\n -13  -1  -2 36274.2 2663.86   4\r\n  13  -1   2 35831.4 2619.55   4\r\n -13   1   2 34743.7 2152.92   4\r\n -13  -1  -2 31561.3 1761.14   2\r\n  13   1  -2 31335.3 2470.83   4\r\n -13   1   2 32060.3 2511.44   2\r\n  13   1  -2 32504.1 2292.90   7\r\n  13  -1   2 31063.2 2084.39   2\r\n -13  -1  -2 31612.1 2214.23   6\r\n -13   1   1 10503.3 1272.30   4\r\n  13  -1   1 11515.8 1380.83   4\r\n  13   1  -1 8495.21 1237.73   4\r\n -13   1   1 9830.99 1393.47   2\r\n -13  -1  -1 9581.38 1152.98   2\r\n  13   1  -1 8307.05 1229.46   7\r\n  13  -1   1 10351.6 1287.23   2\r\n -13  -1  -1 9189.46 1359.88   4\r\n  13   1  -1 10710.4 1473.30   2\r\n -13  -1   0 3312.60 840.478   2\r\n  13  -1   0 3214.29 737.815   2\r\n  13   1   0 2231.02 847.527   2\r\n -13   1   0 3609.86 831.225   4\r\n -13  -1   0 2596.81 791.307   4\r\n  13  -1   0 2321.25 771.725   4\r\n -13   1   0 2302.47 729.805   2\r\n -13   1   0 2213.95 880.346   6\r\n  13  -1  -1 8881.78 1332.77   2\r\n -13   1  -1 9656.82 1295.67   4\r\n -13  -1   1 8676.82 1180.48   4\r\n  13  -1  -1 7998.89 1124.32   4\r\n  13  -1  -1 8769.94 981.692   7\r\n -13  -1   1 10687.7 1425.69   2\r\n  13   1   1 9738.93 1214.59   2\r\n -13   1  -1 9357.77 1397.77   6\r\n  13   1   1 8528.41 1088.56   5\r\n -13   1  -2 34813.5 3140.79   3\r\n  13   1   2 30335.3 2403.70   4\r\n -13  -1   2 31797.0 2333.73   4\r\n  13  -1  -2 35491.8 2175.42   4\r\n  13  -1  -2 30563.5 2138.51   7\r\n  13  -1  -2 33382.8 2152.15   1\r\n -13  -1   2 30814.7 2505.75   2\r\n  13   1   2 30542.4 1897.88   2\r\n -13   1  -2 29120.4 2346.40   6\r\n  13   1   2 31898.5 2318.55   5\r\n -13  -1   3 2528.88 1055.97   2\r\n  13  -1  -3 1279.78 695.277   1\r\n -13   1  -3 1390.44 1121.84   3\r\n  13  -1  -3 816.870 551.650   5\r\n  13   1   3 2069.64 506.140   2\r\n  13  -1  -3 2595.01 880.561   7\r\n  13   1   3 3402.67 922.534   4\r\n -13   1  -3 1843.48 761.581   6\r\n -13  -1   3 2135.66 706.119   4\r\n  13  -1  -3 2184.35 804.549   4\r\n -13  -1   4 1674.13 793.698   2\r\n  13  -1  -4 1908.70 791.771   5\r\n -13   1  -4 486.934 1447.51   3\r\n  13  -1  -4 2560.40 907.888   7\r\n  13   1   4 1512.23 924.867   4\r\n -13   1  -4 1206.81 706.829   6\r\n -13  -1   5 2552.77 1031.09   2\r\n  13  -1  -5 4677.79 1228.69   5\r\n -13   1  -5 3244.67 1576.53   3\r\n  13  -1  -5 2584.16 1262.42   7\r\n  13   1   5 3092.12 1139.20   4\r\n -13  -1   6 2228.42 1059.82   2\r\n  13  -1  -6 1112.28 1008.85   5\r\n  13  -1  -6 2669.51 1253.90   7\r\n  13   1   6 1190.10 1076.12   4\r\n  13   2  -6-11.7579 1156.50   7\r\n  13  -2   6-266.773 1418.30   4\r\n -13   2   6 1854.49 693.256   2\r\n -13   2   6 452.330 570.367   6\r\n  13   2  -5 3178.64 767.380   5\r\n -13  -2  -5 1556.52 1710.41   3\r\n  13   2  -5 3808.13 1326.83   7\r\n  13  -2   5 3654.93 1597.44   4\r\n -13   2   5 3907.46 1147.39   2\r\n  13   2  -4 10034.5 1035.18   1\r\n -13  -2  -4 12029.0 2524.79   3\r\n -13   2   4 8627.89 1035.89   4\r\n  13  -2   4 11265.8 1386.58   2\r\n  13  -2   4 10080.4 1430.53   7\r\n  13   2  -4 9532.07 1864.20   7\r\n  13  -2   4 11380.7 1900.24   4\r\n -13  -2  -4 11132.2 1005.01   6\r\n -13   2   4 11011.7 1753.52   2\r\n  13  -2   4 8544.18 1581.31   6\r\n  13   2  -4 11612.9 1103.78   5\r\n -13  -2  -3 16347.1 2500.13   3\r\n  13  -2   3 13226.6 1889.34   4\r\n -13   2   3 13369.8 1281.66   4\r\n  13  -2   3 16283.3 1502.11   7\r\n -13   2   3 15115.8 1865.69   2\r\n  13  -2   3 13603.9 1503.79   2\r\n  13   2  -3 13507.3 1883.11   7\r\n -13   2   3 16556.5 1640.16   7\r\n  13   2  -3 14069.4 1215.60   1\r\n -13  -2  -3 17146.3 1511.79   6\r\n -13   2   3 14881.7 2006.15   6\r\n  13   2  -3 14938.9 1053.81   5\r\n  13  -2   2 6342.06 808.658   7\r\n -13  -2  -2 6685.15 871.152   2\r\n -13   2   2 5752.39 878.237   4\r\n  13   2  -2 5618.26 1046.67   7\r\n  13  -2   2 5258.02 1095.54   4\r\n -13   2   2 4433.25 1043.50   2\r\n  13  -2   2 6121.20 1024.95   2\r\n -13   2   2 5722.62 1248.27   6\r\n  13   2  -2 5772.86 566.241   5\r\n  13   2  -2 7204.01 1410.98   4\r\n -13   2   1 13836.5 1424.45   4\r\n  13  -2   1 13418.4 1597.03   4\r\n -13  -2  -1 14516.0 1713.53   4\r\n -13   2   1 14262.5 1581.72   2\r\n  13   2  -1 14493.5 1769.72   4\r\n  13  -2   1 14357.4 1587.28   2\r\n -13  -2  -1 12980.7 1362.37   2\r\n  13   2  -1 17000.5 1875.72   2\r\n -13   2   1 13002.1 1734.68   6\r\n -13   2   0 26165.6 2087.12   4\r\n  13  -2   0 28225.1 2000.77   4\r\n -13  -2   0 30724.3 2323.98   4\r\n  13  -2   0 32515.6 1393.81   7\r\n  13  -2   0 28050.4 2223.61   2\r\n -13  -2   0 25813.6 2057.31   2\r\n  13   2   0 27031.0 2182.28   2\r\n -13   2   0 25790.0 2301.92   6\r\n  13   2   0 29645.3 1684.03   5\r\n -13   2  -1 13882.0 1665.62   4\r\n  13  -2  -1 13025.5 1344.96   4\r\n -13  -2   1 12660.1 1559.46   4\r\n  13  -2  -1 12616.7 1136.11   7\r\n  13  -2  -1 13930.7 1692.17   2\r\n -13  -2   1 12175.1 1579.88   2\r\n -13   2  -1 11351.1 1571.98   6\r\n  13   2   1 13977.4 1475.95   2\r\n  13   2   1 13045.3 1614.97   4\r\n  13   2   1 12863.6 1374.70   5\r\n  13   2   2 4326.03 993.169   5\r\n -13   2  -2 5175.22 1374.16   3\r\n -13  -2   2 6590.14 1300.66   2\r\n  13  -2  -2 6551.73 965.621   4\r\n  13  -2  -2 6158.58 1009.47   7\r\n  13   2   2 7555.97 984.375   2\r\n  13   2   2 6348.56 1266.74   4\r\n -13   2  -2 5958.33 1217.40   6\r\n -13   2  -3 13847.3 2316.60   3\r\n  13   2   3 13914.3 1801.66   4\r\n  13  -2  -3 13491.5 1718.11   7\r\n  13  -2  -3 13792.4 1474.79   4\r\n -13  -2   3 15102.2 2112.13   2\r\n -13   2  -3 15016.1 1784.40   6\r\n  13  -2  -3 15421.9 1734.58   5\r\n  13  -2  -4 10328.8 1625.02   5\r\n -13  -2   4 8881.31 1721.42   2\r\n -13   2  -4 11862.8 2361.83   3\r\n  13   2   4 13088.2 1867.30   4\r\n  13  -2  -4 10996.6 1804.33   7\r\n -13   2  -4 8620.23 1562.45   6\r\n  13  -2  -5 2281.58 1133.72   5\r\n -13  -2   5 3343.81 1408.43   2\r\n -13   2  -5 1055.70 1574.56   3\r\n  13  -2  -5 6770.95 1464.61   7\r\n  13   2   5 3055.48 1217.25   4\r\n  13  -2  -6 826.240 986.659   5\r\n -13  -2   6-2310.93 1419.67   2\r\n  13  -2  -6-1040.10 1058.24   7\r\n  13   2   6 365.250 1062.43   4\r\n  13   3  -6 5411.67 1577.33   7\r\n  13  -3   6 2896.11 1436.80   4\r\n -13  -3  -5-441.889 1519.99   3\r\n  13   3  -5 408.981 855.579   7\r\n  13  -3   5 635.259 1189.70   4\r\n -13   3   5 1618.76 699.257   6\r\n -13  -3  -4 4749.35 1849.56   3\r\n  13  -3   4 5459.47 1045.88   7\r\n  13  -3   4 3575.65 1248.77   4\r\n  13   3  -4 5952.24 1482.05   7\r\n -13  -3  -4 5503.18 627.791   6\r\n -13   3   4 5021.81 1297.39   6\r\n -13  -3  -3 5217.69 1679.09   3\r\n  13  -3   3 4455.86 766.780   7\r\n -13   3   3 4159.73 672.960   4\r\n  13  -3   3 4745.06 1272.36   4\r\n  13   3  -3 5008.58 1192.57   7\r\n -13   3   3 4270.77 881.173   7\r\n -13  -3  -3 4398.79 565.695   2\r\n -13   3   3 5089.53 1237.20   6\r\n -13  -3  -2 2082.14 587.297   2\r\n -13   3   2 1897.79 565.434   4\r\n  13  -3   2 2536.39 456.790   7\r\n  13  -3   2 2742.93 922.540   4\r\n  13   3  -2 1953.04 879.408   7\r\n -13   3   2 1840.13 568.788   7\r\n  13  -3   2 2613.44 744.080   2\r\n -13   3   2 1689.96 975.562   6\r\n -13   3   1 37765.5 2360.19   4\r\n  13  -3   1 36901.7 2612.35   4\r\n  13   3  -1 43172.1 3194.78   4\r\n -13   3   1 38297.5 3032.23   6\r\n  13   3  -1 40061.8 1268.78   5\r\n -13  -3  -1 39016.4 2421.65   2\r\n -13   3   0 24087.0 2109.29   4\r\n  13  -3   0 26308.2 1988.88   4\r\n  13  -3   0 25812.0 867.978   7\r\n  13   3   0 25147.4 2416.19   4\r\n -13  -3   0 27321.8 2236.45   2\r\n -13   3   0 25990.4 2518.79   6\r\n  13   3   0 26932.2 1577.28   5\r\n -13   3  -1 40200.6 2917.92   4\r\n  13  -3  -1 40532.5 2228.15   4\r\n  13   3   1 40109.4 2834.95   4\r\n  13  -3  -1 38454.1 1717.76   7\r\n -13  -3   1 35932.2 2828.95   2\r\n -13   3  -1 39948.6 3060.22   6\r\n  13   3   1 42210.6 2442.56   5\r\n  13   3   2 2652.28 755.884   5\r\n -13   3  -2 2755.45 1127.09   3\r\n -13  -3   2 1451.02 914.102   2\r\n  13  -3  -2 2034.16 616.774   7\r\n -13   3  -2 2361.65 853.791   6\r\n  13   3   2 2709.21 955.339   4\r\n  13  -3  -2 1742.34 564.404   4\r\n  13  -3  -3 4838.45 1128.31   5\r\n -13   3  -3 3819.29 1565.58   3\r\n -13  -3   3 5053.65 1345.26   2\r\n  13  -3  -3 6383.63 916.811   4\r\n  13  -3  -3 5248.58 1125.54   7\r\n -13   3  -3 3764.26 1083.49   6\r\n  13   3   3 4966.07 1202.83   4\r\n  13  -3  -4 3523.66 1124.28   5\r\n -13  -3   4 4745.87 1418.55   2\r\n -13   3  -4 4478.77 1766.70   3\r\n  13  -3  -4 4080.19 1247.58   7\r\n -13   3  -4 3465.41 1143.86   6\r\n  13   3   4 4088.17 1347.99   4\r\n  13  -3  -5 673.661 857.639   5\r\n -13  -3   5 964.653 557.976   2\r\n -13   3  -5 2370.95 1250.42   3\r\n  13  -3  -5 1423.89 642.167   7\r\n  13   3   5 93.3610 653.962   4\r\n  13  -3  -6 1737.07 1105.33   5\r\n -13  -3   6 4614.93 1269.61   2\r\n  13  -3  -6 2040.64 867.304   7\r\n  13   3   6 1542.76 1215.31   4\r\n -13  -4  -5 3916.26 1784.13   3\r\n  13   4  -5 4024.74 1418.53   7\r\n  13  -4   5 3231.74 1405.80   4\r\n -13   4   5 3517.00 975.998   6\r\n -13  -4  -4 5089.64 1811.56   3\r\n  13  -4   4 7005.65 1742.35   4\r\n  13   4  -4 5995.06 1544.75   7\r\n -13   4   4 7822.36 1548.04   6\r\n -13  -4  -4 5665.94 1421.94   5\r\n -13  -4  -3-129.309 1035.00   3\r\n  13  -4   3-912.205 923.100   4\r\n  13  -4   3 287.439 306.388   7\r\n  13   4  -3-454.405 1124.19   7\r\n -13   4   3 583.462 470.179   7\r\n -13   4   3-3.91294 654.060   6\r\n -13  -4  -3 349.578 313.723   2\r\n  13  -4   2 11178.4 1669.31   4\r\n -13   4   2 10270.3 1038.06   7\r\n -13  -4  -2 9298.09 1170.89   2\r\n  13   4  -2 11463.7 1764.34   7\r\n -13   4   2 10694.1 1746.59   6\r\n  13  -4   1 10919.2 1549.77   4\r\n -13  -4  -1 9470.29 1439.30   2\r\n -13   4   1 8774.57 1689.14   6\r\n  13   4  -1 10045.6 1797.26   4\r\n  13   4   0 1760.62 449.091   5\r\n -13  -4   0 2018.39 852.615   2\r\n  13  -4   0 2905.99 824.206   4\r\n -13   4   0 2353.10 1144.79   6\r\n  13   4   0 1605.94 1033.59   4\r\n -13   4  -1 9264.48 1637.36   3\r\n  13  -4  -1 10089.5 1177.16   4\r\n -13  -4   1 8701.72 1608.59   2\r\n  13   4   1 10618.9 1641.14   4\r\n -13   4  -1 9979.61 1772.29   6\r\n  13   4   1 10890.0 1269.99   5\r\n  13   4   2 10103.3 1457.83   5\r\n -13   4  -2 10658.6 1936.53   3\r\n  13  -4  -2 9676.19 1056.53   4\r\n -13  -4   2 10271.7 1909.68   2\r\n -13   4  -2 9681.74 1689.55   6\r\n  13   4   2 10325.1 1657.10   4\r\n  13  -4  -3-241.604 821.435   5\r\n -13   4  -3-359.979 728.218   3\r\n -13  -4   3-803.188 962.835   2\r\n -13   4  -3 833.567 576.024   6\r\n  13   4   3-370.381 907.472   4\r\n  13  -4  -4 3147.99 974.783   5\r\n -13   4  -4 6346.64 1881.20   3\r\n -13  -4   4 4380.36 1388.38   2\r\n -13   4  -4 5146.88 1454.59   6\r\n  13   4   4 3632.44 1250.13   4\r\n  13  -4  -5 4182.62 1461.68   5\r\n -13  -4   5 4966.73 1618.41   2\r\n  13   4   5 4278.72 1373.59   4\r\n  13  -5   5 723.010 1230.96   4\r\n  13   5  -5 1178.07 1258.21   7\r\n -13   5   5 2934.48 1040.52   6\r\n -13  -5  -5 4275.55 1336.94   5\r\n -13  -5  -4 475.410 1243.29   3\r\n  13  -5   4 293.787 1109.37   4\r\n  13   5  -4-382.332 1081.45   7\r\n -13   5   4-443.022 810.965   6\r\n -13  -5  -4-684.752 894.024   5\r\n -13  -5  -3 1998.64 620.970   2\r\n -13  -5  -3 3530.08 1312.88   3\r\n  13  -5   3 1951.64 1005.59   4\r\n  13   5  -3 810.274 885.315   7\r\n -13   5   3 2348.53 1189.15   6\r\n -13  -5  -3 1597.95 829.058   5\r\n -13  -5  -2-192.512 587.805   2\r\n  13  -5   2 1185.56 837.591   4\r\n -13   5   2-851.449 400.976   7\r\n  13   5  -2 102.772 752.148   7\r\n -13   5   2-1457.57 896.929   6\r\n -13  -5  -2 892.815 568.392   5\r\n -13  -5  -1 1663.75 816.214   2\r\n  13  -5   1 1630.93 830.273   4\r\n -13   5   1 1736.82 1191.64   6\r\n -13   5   0 3168.94 1046.51   3\r\n  13   5   0 4315.68 582.059   5\r\n -13  -5   0 2921.41 1115.74   2\r\n  13  -5   0 4510.51 998.632   4\r\n -13   5   0 1331.40 769.698   6\r\n  13   5   0 2996.70 1330.85   4\r\n -13   5  -1 1549.89 899.951   3\r\n  13   5   1 2172.16 674.523   5\r\n -13  -5   1 3940.49 1290.50   2\r\n  13  -5  -1 2731.61 617.331   4\r\n -13   5  -1 2727.24 1148.29   6\r\n  13   5   1 1082.18 814.237   4\r\n  13   5   2-433.763 656.092   5\r\n -13   5  -2 121.396 966.566   3\r\n -13  -5   2-233.180 1157.76   2\r\n -13   5  -2-1507.26 1165.77   6\r\n  13  -5  -2 300.210 284.835   4\r\n  13   5   2 594.925 832.962   4\r\n  13  -5  -3 1295.43 795.994   5\r\n -13   5  -3 2416.13 998.366   3\r\n -13  -5   3 77.0698 794.939   2\r\n -13   5  -3 1832.60 1080.24   6\r\n  13   5   3 1780.16 1018.98   4\r\n  13  -5  -4-834.613 934.197   5\r\n -13   5  -4 2102.81 1256.77   3\r\n -13  -5   4 203.056 901.095   2\r\n  13   5   4-203.925 789.056   4\r\n  13  -5  -5 176.538 748.086   5\r\n -13  -5   5 3384.96 1344.57   2\r\n  13   5   5 2057.08 1172.89   4\r\n -13  -6  -4 1490.28 1421.19   3\r\n  13  -6   4-83.5886 986.183   4\r\n  13   6  -4 1832.01 1228.64   7\r\n -13   6   4 1927.53 1002.98   6\r\n -13  -6  -4 2151.00 955.568   5\r\n -13  -6  -3 4738.72 1476.82   3\r\n  13  -6   3 4563.25 1414.57   4\r\n  13   6  -3 2463.99 1510.86   7\r\n -13   6   3 2996.93 1302.58   6\r\n -13  -6  -3 2290.49 1088.69   5\r\n -13  -6  -2 545.136 811.759   3\r\n -13  -6  -2 1150.80 767.805   2\r\n  13  -6   2 626.729 1021.08   4\r\n  13   6  -2 833.405 993.264   7\r\n -13   6   2 859.559 957.434   6\r\n -13  -6  -2 1183.45 627.177   5\r\n -13  -6  -1 1072.56 816.610   2\r\n  13  -6   1-226.436 824.883   4\r\n -13   6   1 1288.87 895.951   6\r\n -13   6   1 709.268 578.531   3\r\n -13   6   0 303.426 750.936   3\r\n -13  -6   0 2802.55 904.913   2\r\n  13  -6   0 495.293 632.203   4\r\n -13   6   0 2169.92 885.722   6\r\n -13   6  -1 2263.10 1051.79   3\r\n -13  -6   1 1099.38 697.132   2\r\n  13  -6  -1 239.691 402.371   4\r\n -13   6  -1 523.136 740.254   6\r\n  13   6   1 1119.79 1182.36   4\r\n -13  -6   2 2094.19 1000.29   2\r\n  13  -6  -2 859.747 721.065   5\r\n -13   6  -2 1575.55 757.412   3\r\n -13   6  -2 393.631 1128.64   6\r\n  13   6   2 282.475 934.954   4\r\n  13  -6  -3 2279.33 1380.99   5\r\n -13   6  -3 468.417 1262.25   3\r\n -13  -6   3 3088.52 1476.44   2\r\n -13   6  -3 2678.35 1161.60   6\r\n  13   6   3 2538.27 1280.95   4\r\n  13  -6  -4 2195.08 823.674   5\r\n -13  -6   4 3297.81 1646.03   2\r\n  13   6   4 2314.12 1186.92   4\r\n  13  -7   3 844.376 784.365   4\r\n  13   7  -3-164.331 802.673   7\r\n -13   7   3 96.0119 698.522   6\r\n -13  -7  -3-416.615 514.624   5\r\n -13  -7  -2 2730.55 749.317   2\r\n  13  -7   2 2998.53 1060.16   4\r\n  13   7  -2 1064.40 962.226   7\r\n -13   7   2 717.766 1185.31   6\r\n -13  -7  -2 1033.52 567.041   5\r\n -13  -7  -1 1903.70 852.092   2\r\n  13  -7   1 2270.70 1008.93   4\r\n -13   7   1 2572.02 1258.58   6\r\n  13   7  -1 1410.54 605.972   1\r\n -13  -7  -1 1373.62 686.974   5\r\n -13  -7   0 689.133 1003.94   2\r\n  13  -7   0 1085.72 719.703   4\r\n -13   7   0 2494.58 1120.76   6\r\n -13   7  -1 2909.03 1127.42   3\r\n -13  -7   1 2637.72 946.466   2\r\n -13   7  -1 2878.63 1052.00   6\r\n  13  -7  -2 899.353 904.553   5\r\n -13  -7   2 246.353 1083.12   2\r\n -13   7  -2 733.983 1039.75   3\r\n -13   7  -2 2432.81 1249.36   6\r\n  13   7   2 1420.93 1138.53   4\r\n  13  -7  -3 907.479 608.859   5\r\n  13   7   3-118.804 1267.03   4\r\n  13  -8   2-750.994 1060.39   4\r\n  13   8  -2-142.832 654.582   7\r\n  13  -8   1 1069.59 977.568   4\r\n -13  -8  -1-683.379 616.231   2\r\n -13   8   1 85.6373 922.895   6\r\n -13  -8   0 1045.29 879.711   2\r\n  13   8   0-668.747 985.508   1\r\n -13   8   0 1617.12 910.313   6\r\n  13   8   1 892.504 782.371   1\r\n -13   8  -1-943.132 930.511   6\r\n -13  -8   1 40.6170 1310.45   2\r\n  13  -8  -2 247.290 795.962   5\r\n  13   8   2 346.006 785.983   1\r\n -13  -8   2-367.986 1042.63   2\r\n -14   0   0 11974.8 1449.31   4\r\n  14   0   0 10631.4 1428.31   4\r\n -14   0   0 11393.2 1370.66   2\r\n  14   0   0 9871.22 1364.87   2\r\n  14   0   1 1190.15 623.339   2\r\n  14   0  -1 1247.25 712.616   2\r\n -14   0  -1 58.0128 453.123   4\r\n  14   0  -1 685.734 526.562   7\r\n -14   0   1 1014.06 551.400   4\r\n  14   0   1 1807.87 857.556   4\r\n -14   0  -1 402.436 505.458   2\r\n  14   0  -1 966.395 603.619   4\r\n -14   0  -1 1200.12 638.593   6\r\n -14   0   1 716.606 579.620   2\r\n  14   0   2 6525.73 992.948   2\r\n  14   0  -2 6436.17 1088.42   7\r\n  14   0   2 7346.86 1356.35   4\r\n -14   0   2 6477.27 1094.17   4\r\n -14   0  -2 6576.24 1219.57   6\r\n  14   0  -2 7381.86 1224.17   4\r\n -14   0   2 8240.65 1408.13   2\r\n  14   0   2 5335.50 1060.70   5\r\n  14   0   3 592.442 540.309   2\r\n -14   0  -3 1592.03 1233.43   3\r\n  14   0  -3 1085.80 572.686   5\r\n  14   0  -3 1026.39 786.866   7\r\n  14   0   3 911.716 927.143   4\r\n -14   0   3 1439.62 621.226   4\r\n -14   0  -3 1178.05 695.523   6\r\n  14   0  -3 809.978 565.097   1\r\n -14   0   3 771.359 655.689   2\r\n  14   0  -4 287.160 500.946   5\r\n  14   0   4-278.500 331.671   2\r\n -14   0  -4 811.595 1398.66   3\r\n  14   0  -4-1026.21 479.858   1\r\n  14   0  -4 61.4412 746.433   7\r\n  14   0   4-418.190 963.997   4\r\n -14   0  -4-450.903 515.511   6\r\n -14   0   4 1041.05 579.584   4\r\n -14   0   4 322.300 661.032   2\r\n  14   0  -5 194.459 597.401   5\r\n  14   0  -5 1797.58 1044.80   7\r\n  14   0   5 2253.39 994.660   4\r\n -14   0   5 968.086 613.580   2\r\n  14   0  -6 532.033 633.610   5\r\n -14   0  -6-731.750 2006.82   3\r\n  14   0  -6 868.430 973.001   7\r\n  14   0   6-381.135 1185.31   4\r\n -14   0   6 1176.01 693.040   2\r\n  14   1  -6 2963.81 1236.02   7\r\n  14  -1   6 3191.32 1040.87   4\r\n -14   1   6 862.925 791.792   2\r\n  14   1  -5 2009.61 567.307   5\r\n -14  -1  -5 1607.18 1761.43   3\r\n  14   1  -5 1768.96 1030.44   7\r\n  14  -1   5 652.052 1154.77   4\r\n -14   1   5 1188.22 882.402   2\r\n  14   1  -4 2489.10 713.667   5\r\n -14  -1  -4 2144.48 1304.39   3\r\n  14   1  -4 3462.26 684.140   1\r\n  14  -1   4 1292.26 1086.66   4\r\n -14   1   4 1748.43 693.660   4\r\n -14  -1  -4 1766.30 623.322   6\r\n  14   1  -4 3359.96 1319.78   7\r\n -14   1   4 1364.80 770.896   2\r\n  14  -1   4 3003.87 773.941   2\r\n -14  -1  -3 11012.8 2293.87   3\r\n  14  -1   3 15329.8 1934.51   4\r\n -14   1   3 13253.6 1464.55   4\r\n  14  -1   3 12737.8 1412.60   7\r\n  14   1  -3 14329.3 1886.52   7\r\n -14   1   3 12612.4 1821.12   2\r\n  14   1  -3 14609.9 1405.31   1\r\n  14  -1   3 13095.4 1418.43   2\r\n -14  -1  -3 13642.3 1483.41   6\r\n  14   1  -3 13765.3 1280.96   5\r\n  14   1  -2 5711.30 1126.51   7\r\n  14  -1   2 5090.04 1174.43   4\r\n -14   1   2 4974.01 955.065   4\r\n -14  -1  -2 3789.62 736.436   2\r\n -14   1   2 3095.16 1052.37   2\r\n -14  -1  -2 3859.16 928.155   6\r\n  14   1  -2 3685.48 1126.04   4\r\n  14  -1   2 4638.55 916.381   2\r\n  14  -1   1 261.301 657.508   2\r\n  14   1  -1-350.183 620.944   2\r\n -14  -1  -1 608.397 559.210   4\r\n  14   1  -1 1008.43 647.778   7\r\n -14   1   1 311.074 512.199   4\r\n  14  -1   1 560.064 510.616   4\r\n -14   1   1 588.509 763.102   2\r\n  14   1  -1 1539.83 728.266   4\r\n -14  -1  -1 830.370 525.810   2\r\n -14   1   0 8607.24 1224.28   4\r\n -14  -1   0 10238.5 1404.46   4\r\n  14  -1   0 8770.18 1234.18   4\r\n -14   1   0 8582.72 1256.89   2\r\n  14   1   0 9458.72 1394.85   2\r\n  14  -1   0 7387.30 893.523   7\r\n -14  -1   0 11001.2 1378.51   2\r\n  14  -1   0 9424.06 1376.43   2\r\n  14   1   0 8747.11 1343.49   4\r\n -14   1   0 9692.92 1483.92   6\r\n -14  -1   1 190.159 578.756   2\r\n  14  -1  -1 1240.91 738.881   2\r\n  14   1   1 758.578 480.169   2\r\n -14   1  -1 39.0641 329.124   4\r\n  14  -1  -1 420.786 440.612   7\r\n -14  -1   1 1174.73 546.050   4\r\n  14   1   1 776.743 725.256   4\r\n  14  -1  -1 1137.59 709.196   4\r\n -14   1  -1 53.8308 625.379   6\r\n  14   1   1 716.291 570.945   5\r\n  14   1   2 3787.00 928.429   5\r\n -14  -1   2 4793.63 1152.79   2\r\n -14   1  -2 5083.63 1403.75   3\r\n  14  -1  -2 4236.54 917.450   1\r\n  14   1   2 5795.79 900.910   2\r\n  14  -1  -2 4048.17 963.840   7\r\n  14   1   2 5040.51 1134.73   4\r\n -14  -1   2 4821.73 1034.79   4\r\n -14   1  -2 5026.43 1212.56   6\r\n  14  -1  -2 5529.91 986.091   4\r\n -14   1  -3 12161.7 2221.99   3\r\n  14   1   3 12746.8 1759.43   4\r\n  14  -1  -3 12547.5 1705.81   7\r\n  14  -1  -3 11991.0 1578.72   4\r\n -14  -1   3 11606.2 1774.88   2\r\n  14   1   3 14519.0 1273.97   2\r\n -14   1  -3 12368.4 1642.24   6\r\n  14  -1  -3 13567.6 1538.71   5\r\n -14  -1   4 2152.71 1111.33   2\r\n  14  -1  -4 2120.75 918.358   5\r\n -14   1  -4 3278.25 1546.42   3\r\n  14  -1  -4 2911.65 1111.97   7\r\n  14   1   4 2018.47 1045.96   4\r\n  14   1   4 2973.48 405.158   2\r\n -14   1  -4 1827.70 766.512   6\r\n -14  -1   5 529.287 759.255   2\r\n  14  -1  -5 1401.15 836.034   5\r\n -14   1  -5 449.573 1859.84   3\r\n  14  -1  -5 1149.26 830.448   7\r\n  14   1   5 292.033 1006.51   4\r\n -14  -1   6-214.726 857.536   2\r\n  14  -1  -6 724.914 940.535   5\r\n  14  -1  -6 423.018 1311.74   7\r\n  14   1   6 1781.57 1039.14   4\r\n -14  -2  -6 8.68645 2054.13   3\r\n  14   2  -6 950.636 1034.04   7\r\n -14   2   6 2483.49 905.769   2\r\n -14   2   6 1856.53 1100.36   6\r\n -14  -2  -5 5447.82 1906.49   3\r\n  14   2  -5 5426.91 1701.87   7\r\n  14  -2   5 3357.54 1248.04   4\r\n -14   2   5 3145.84 1058.19   2\r\n -14   2   5 2887.91 1026.16   6\r\n  14   2  -4 1062.48 479.753   5\r\n -14  -2  -4 2961.39 1519.20   3\r\n  14  -2   4-273.201 683.608   7\r\n  14   2  -4 1234.16 947.012   7\r\n  14  -2   4 1416.94 1167.07   4\r\n  14   2  -4 2182.82 468.906   1\r\n -14   2   4 1880.87 457.028   4\r\n -14  -2  -4 594.743 408.754   6\r\n -14   2   4 604.110 796.096   2\r\n  14  -2   4 502.533 554.267   2\r\n  14   2  -3 815.241 320.664   5\r\n -14  -2  -3 1042.13 1308.01   3\r\n  14  -2   3 1273.45 679.227   7\r\n  14   2  -3 1292.08 916.879   7\r\n  14  -2   3 1343.25 908.221   4\r\n -14   2   3 1370.20 656.151   7\r\n -14   2   3 1767.89 597.614   4\r\n -14   2   3 1055.47 823.312   2\r\n  14  -2   3 1043.51 646.636   2\r\n -14  -2  -3 1482.58 617.301   6\r\n -14   2   3 233.224 875.158   6\r\n -14   2   2 7519.63 1079.30   4\r\n  14  -2   2 7740.27 908.687   7\r\n -14  -2  -2 8430.63 1052.20   2\r\n  14   2  -2 9874.48 1442.16   7\r\n  14  -2   2 8815.76 1504.09   4\r\n -14   2   2 7713.39 1402.32   2\r\n  14  -2   2 7612.37 1202.35   2\r\n -14   2   2 8802.00 1563.25   6\r\n  14   2  -2 8944.10 1580.02   4\r\n  14   2  -2 7861.10 708.669   5\r\n -14  -2  -1 2374.39 725.288   2\r\n -14   2   1 1040.44 678.225   2\r\n -14   2   1 1353.57 614.050   4\r\n  14  -2   1 3215.17 917.346   4\r\n -14   2   1 1431.90 750.445   6\r\n  14   2  -1 1519.34 777.837   4\r\n  14  -2   1 2270.40 709.525   2\r\n  14   2   0-325.591 301.948   5\r\n -14  -2   0-882.953 560.248   2\r\n -14   2   0 112.402 494.502   4\r\n  14  -2   0-589.612 387.657   7\r\n  14   2   0-602.673 644.997   2\r\n  14  -2   0-128.230 492.909   4\r\n -14   2   0 15.7672 567.078   6\r\n  14   2   0-243.907 885.554   4\r\n  14  -2   0-1276.41 599.505   2\r\n  14   2   1 1237.36 536.268   5\r\n -14  -2   1 1780.60 804.883   2\r\n -14   2  -1 1656.03 650.082   4\r\n  14  -2  -1 1788.93 548.785   7\r\n  14   2   1 2076.90 739.616   2\r\n  14  -2  -1 1562.88 651.749   4\r\n  14   2   1 1733.90 913.429   4\r\n -14   2  -1 684.071 600.193   6\r\n  14   2   2 8021.63 1347.14   5\r\n -14   2  -2 11121.0 2037.80   3\r\n -14  -2   2 8751.25 1574.05   2\r\n  14  -2  -2 7875.59 1132.88   4\r\n  14  -2  -2 8207.46 1207.78   7\r\n  14   2   2 9220.30 1155.71   2\r\n  14   2   2 8977.20 1483.11   4\r\n -14   2  -2 5915.88 1311.13   6\r\n -14  -2   3 1979.99 1152.55   2\r\n -14   2  -3 1088.15 1023.52   3\r\n  14  -2  -3 1549.19 802.309   5\r\n  14  -2  -3 1838.00 836.873   7\r\n  14   2   3 1771.33 957.514   4\r\n -14   2  -3 122.758 491.204   6\r\n  14  -2  -3 1139.75 608.074   4\r\n -14  -2   4 772.822 810.683   2\r\n  14  -2  -4 924.293 856.828   5\r\n -14   2  -4 929.289 1193.45   3\r\n  14  -2  -4 1094.30 818.976   7\r\n  14   2   4 150.709 957.007   4\r\n -14   2  -4 759.817 719.935   6\r\n -14  -2   5 5337.23 1255.50   2\r\n  14  -2  -5 2518.59 1033.58   5\r\n -14   2  -5 1978.85 1791.53   3\r\n  14  -2  -5 3972.99 1413.13   7\r\n  14   2   5 3903.94 1274.13   4\r\n -14  -2   6 4172.70 1523.65   2\r\n  14  -2  -6 5564.12 1299.19   5\r\n  14  -2  -6 2694.14 1076.25   7\r\n  14   2   6 3745.48 1227.13   4\r\n  14   3  -6-313.477 785.651   7\r\n  14  -3   6 341.354 1211.58   4\r\n -14   3   6-863.131 913.297   6\r\n -14  -3  -5 3093.99 1734.30   3\r\n  14   3  -5 2632.03 1170.15   7\r\n  14  -3   5 1422.94 1289.83   4\r\n -14   3   5 3496.52 1054.69   6\r\n -14  -3  -4 975.346 1310.85   3\r\n  14   3  -4 3083.36 1296.03   7\r\n  14  -3   4 3303.38 1332.18   4\r\n -14   3   4 2784.07 1189.36   6\r\n -14  -3  -3 1044.67 1143.67   3\r\n  14  -3   3 224.287 393.434   7\r\n -14   3   3 1179.24 500.091   4\r\n  14  -3   3 2271.87 899.583   4\r\n  14   3  -3 897.118 839.706   7\r\n -14   3   3 1216.25 633.293   7\r\n -14  -3  -3 1172.51 353.027   2\r\n -14   3   3 1535.82 792.850   6\r\n -14  -3  -2 6809.67 1001.40   2\r\n  14  -3   2 5986.21 637.049   7\r\n -14   3   2 5820.22 983.799   4\r\n  14  -3   2 7142.04 1385.53   4\r\n  14   3  -2 6345.72 1272.90   7\r\n -14   3   2 5290.88 1342.75   6\r\n  14   3  -2 6651.70 1632.85   4\r\n -14   3   1 21615.0 1888.71   4\r\n  14  -3   1 20497.7 2080.11   4\r\n  14  -3   1 23096.5 755.912   7\r\n  14  -3   1 22010.4 684.987   7\r\n  14   3  -1 25213.5 2676.50   4\r\n -14  -3  -1 27737.2 2128.42   2\r\n -14   3   1 21631.2 2398.90   6\r\n  14   3  -1 25022.3 1131.87   5\r\n  14   3   0 97.5800 323.911   5\r\n -14  -3   0 297.796 657.836   2\r\n -14   3   0 960.913 642.088   4\r\n  14  -3   0 243.705 181.383   7\r\n  14  -3   0 391.438 489.205   4\r\n  14   3   0-70.0858 644.242   4\r\n  14  -3  -1 23752.4 1824.84   4\r\n  14   3   1 22340.0 2271.18   4\r\n  14  -3  -1 25406.8 1475.47   7\r\n -14  -3   1 22624.3 2319.01   2\r\n -14   3  -1 26585.6 2600.02   6\r\n  14   3   1 22346.3 1870.53   5\r\n  14   3   2 7356.07 1283.83   5\r\n -14   3  -2 8180.14 1811.03   3\r\n -14  -3   2 6656.12 1508.74   2\r\n  14  -3  -2 6388.42 1052.17   7\r\n -14   3  -2 7341.42 1529.21   6\r\n  14   3   2 6577.44 1361.00   4\r\n  14  -3  -2 6942.32 1017.54   4\r\n  14  -3  -3 1196.73 721.738   5\r\n -14   3  -3 730.596 1029.76   3\r\n -14  -3   3-514.339 935.057   2\r\n  14  -3  -3 334.850 699.329   7\r\n -14   3  -3-145.154 837.545   6\r\n  14   3   3 1081.97 726.290   4\r\n  14  -3  -3 699.235 475.886   4\r\n  14  -3  -4 4038.07 1136.00   5\r\n -14  -3   4 5716.14 1320.69   2\r\n -14   3  -4 4203.59 1668.08   3\r\n  14  -3  -4 2687.65 1077.53   7\r\n -14   3  -4 2668.87 1103.50   6\r\n  14   3   4 3705.14 1278.71   4\r\n  14  -3  -5 3446.81 1321.59   5\r\n -14  -3   5 2773.26 1541.47   2\r\n -14   3  -5 1384.32 1722.87   3\r\n  14  -3  -5 5822.97 1277.95   7\r\n  14   3   5 2022.05 1137.40   4\r\n  14  -3  -6 669.265 573.317   5\r\n  14  -3  -6-1814.30 1273.00   7\r\n  14   3   6 154.833 1051.91   4\r\n -14  -4  -5 532.921 1590.90   3\r\n  14   4  -5 116.859 1129.69   7\r\n  14  -4   5 1862.31 1344.06   4\r\n -14   4   5 345.133 927.729   6\r\n -14  -4  -4 119.279 1362.92   3\r\n  14  -4   4-2280.65 1401.55   4\r\n  14   4  -4 706.892 827.929   7\r\n -14   4   4 1282.42 831.035   6\r\n -14  -4  -3-177.614 1271.90   3\r\n  14  -4   3 636.073 821.218   4\r\n  14   4  -3-522.169 1154.37   7\r\n -14   4   3-179.902 629.292   7\r\n -14   4   3-299.563 773.081   6\r\n -14  -4  -3-579.338 331.439   2\r\n -14  -4  -2 3394.90 816.976   2\r\n  14  -4   2 3514.63 1156.01   4\r\n  14   4  -2 3298.33 1172.38   7\r\n -14   4   2 3747.84 1122.05   6\r\n -14  -4  -1 6045.17 1196.20   2\r\n  14  -4   1 7312.59 1373.91   4\r\n -14   4   1 7140.19 1569.99   6\r\n  14   4  -1 8250.30 1701.95   4\r\n  14  -4   0 11066.0 1477.02   4\r\n -14  -4   0 10595.8 1630.21   2\r\n  14   4   0 14536.6 2076.61   4\r\n -14   4   0 10147.9 1853.85   6\r\n  14   4   0 11377.4 1019.57   5\r\n -14   4  -1 6750.99 1562.26   3\r\n  14   4   1 7789.82 1156.21   5\r\n -14  -4   1 7418.10 1515.82   2\r\n  14  -4  -1 7627.28 1125.76   4\r\n -14   4  -1 7617.18 1679.20   6\r\n  14   4   1 4425.55 1350.55   4\r\n  14   4   2 3076.90 1032.10   5\r\n -14   4  -2 1156.56 1255.88   3\r\n -14  -4   2 3345.35 1336.00   2\r\n -14   4  -2 5749.16 1436.41   6\r\n  14  -4  -2 3814.46 800.086   4\r\n  14   4   2 3818.24 1119.76   4\r\n  14  -4  -3 82.2724 736.834   5\r\n -14   4  -3 1199.64 1021.20   3\r\n -14  -4   3 825.741 1232.92   2\r\n  14  -4  -3-17.5578 452.340   7\r\n -14   4  -3 306.113 631.573   6\r\n  14   4   3-51.6448 896.663   4\r\n  14  -4  -3 1.33275 355.461   4\r\n  14  -4  -4-1982.65 1262.99   5\r\n -14   4  -4-2153.45 1891.98   3\r\n -14  -4   4-2372.96 1226.54   2\r\n  14  -4  -4-2487.33 883.884   7\r\n -14   4  -4 13.3212 507.008   6\r\n  14   4   4-533.009 847.978   4\r\n  14  -4  -5 923.201 1031.59   5\r\n -14  -4   5-1168.46 878.523   2\r\n  14   4   5-152.952 1283.54   4\r\n -14  -5  -5 2800.50 1720.24   3\r\n  14  -5   5 35.6238 1144.20   4\r\n  14   5  -5-164.749 985.226   7\r\n -14   5   5-1166.85 1102.79   6\r\n -14  -5  -4 2374.25 1224.82   3\r\n  14  -5   4 2957.15 1338.97   4\r\n  14   5  -4 4713.65 1511.45   7\r\n -14   5   4 4920.06 1494.77   6\r\n -14  -5  -4 3725.29 1359.87   5\r\n -14  -5  -3 4646.74 1749.06   3\r\n  14  -5   3 6591.40 1617.11   4\r\n  14   5  -3 7528.80 1656.87   7\r\n -14   5   3 6504.13 1577.35   6\r\n -14  -5  -2 1753.10 748.687   2\r\n  14  -5   2 1707.35 1030.41   4\r\n  14   5  -2 2443.98 1159.20   7\r\n -14   5   2 3378.31 1234.13   6\r\n -14  -5  -1 3286.13 955.045   2\r\n  14  -5   1 2174.80 889.091   4\r\n -14   5   1 1836.27 973.428   6\r\n  14   5   0 1147.04 387.383   5\r\n -14  -5   0 1505.88 872.272   2\r\n  14  -5   0 1703.70 758.315   4\r\n -14   5   0 2524.29 1232.57   6\r\n  14   5   0-488.146 1055.38   4\r\n -14   5   0 660.557 802.910   3\r\n -14   5  -1 2374.27 934.811   3\r\n  14   5   1 2327.40 684.183   5\r\n -14  -5   1 1554.89 1022.72   2\r\n  14  -5  -1 2177.10 709.185   4\r\n -14   5  -1 2572.64 1033.29   6\r\n  14   5   1 2579.24 1186.76   4\r\n -14   5  -2 2402.07 1160.04   3\r\n -14  -5   2 215.978 1033.15   2\r\n -14   5  -2 1062.18 869.710   6\r\n  14  -5  -2 1403.08 546.031   4\r\n  14   5   2 1935.56 1025.38   4\r\n  14  -5  -3 6474.59 1494.10   5\r\n -14   5  -3 5311.46 1751.70   3\r\n -14  -5   3 6119.86 1847.27   2\r\n -14   5  -3 4145.55 1458.17   6\r\n  14   5   3 5318.46 1522.24   4\r\n  14  -5  -4 4193.85 1179.95   5\r\n -14   5  -4 541.719 782.633   3\r\n -14  -5   4 4172.32 1345.53   2\r\n  14   5   4 5534.67 1459.75   4\r\n  14  -5  -5 433.779 804.872   5\r\n -14  -5   5 524.167 844.405   2\r\n  14   5   5 1780.01 876.934   4\r\n -14  -6  -4 1137.30 1494.28   3\r\n  14  -6   4 4142.24 1617.73   4\r\n  14   6  -4 2522.60 1309.52   7\r\n -14   6   4 1070.84 1010.27   6\r\n -14  -6  -4 3762.18 1070.52   5\r\n -14  -6  -3 1121.44 1225.63   3\r\n  14  -6   3-2212.97 1335.21   4\r\n  14   6  -3-169.775 939.498   7\r\n -14   6   3-1990.82 1076.40   6\r\n -14  -6  -3-572.041 706.231   5\r\n -14  -6  -2 4111.63 1429.48   3\r\n -14  -6  -2 3722.44 1064.08   2\r\n  14  -6   2 4426.74 1236.18   4\r\n  14   6  -2 3518.29 1382.46   7\r\n -14   6   2 4476.23 1362.32   6\r\n -14  -6  -1 2398.67 952.419   2\r\n  14  -6   1 1624.64 929.551   4\r\n -14   6   1 2401.79 1134.46   6\r\n -14   6   0 3393.26 1022.77   3\r\n -14  -6   0 1440.34 1011.85   2\r\n  14  -6   0 1809.86 729.433   4\r\n -14   6   0 1514.40 1241.04   6\r\n -14   6  -1 1278.14 904.792   3\r\n -14  -6   1 1210.39 1072.50   2\r\n  14  -6  -1 1847.73 557.696   4\r\n -14   6  -1 2113.13 989.419   6\r\n  14   6   1 2195.36 1331.07   4\r\n -14   6  -2 6161.16 1659.90   3\r\n -14  -6   2 3656.16 1378.34   2\r\n -14   6  -2 3724.55 1465.08   6\r\n  14   6   2 3875.58 1479.48   4\r\n  14  -6  -3 130.883 1034.61   5\r\n -14   6  -3-1598.11 1272.19   3\r\n -14  -6   3-587.284 1388.23   2\r\n -14   6  -3-1489.93 941.697   6\r\n  14   6   3-145.092 894.453   4\r\n  14  -6  -4 6288.93 1471.25   5\r\n -14  -6   4 4215.94 1739.08   2\r\n  14   6   4 4648.52 1391.28   4\r\n  14  -7   3 4670.86 1720.96   4\r\n  14   7  -3 3175.50 1392.91   7\r\n -14   7   3 2731.29 1097.59   6\r\n -14  -7  -3 2288.02 1054.21   5\r\n -14  -7  -2 1646.92 995.759   2\r\n  14  -7   2 2554.58 1216.36   4\r\n  14   7  -2 2618.74 1222.64   7\r\n -14   7   2 4655.64 1387.74   6\r\n -14  -7  -2 29.7831 653.233   5\r\n -14  -7  -1 1026.06 1061.84   2\r\n  14  -7   1 2002.17 903.921   4\r\n -14   7   1-598.746 1390.07   6\r\n -14  -7   0-1358.87 1020.62   2\r\n  14  -7   0-140.704 733.669   4\r\n -14   7   0 33.8520 306.480   6\r\n -14   7  -1 1117.60 1241.59   3\r\n -14  -7   1 2137.63 883.235   2\r\n  14  -7  -2 1182.43 1129.13   5\r\n -14   7  -2 117.345 600.582   3\r\n -14  -7   2 3301.03 1129.62   2\r\n -14   7  -2-1542.02 1209.96   6\r\n  14   7   2 150.830 1439.89   4\r\n  14  -7  -3 3381.64 1651.14   5\r\n -14  -7   3 3494.82 1826.15   2\r\n  14   7   3 1569.28 1575.16   4\r\n  14  -8   1 280.414 952.143   4\r\n -14   8   1-1345.63 1161.77   6\r\n -14  -8   0 324.293 557.629   2\r\n  14   8   0 665.256 684.281   1\r\n -14   8   0-553.908 920.333   6\r\n -14  -8   1 1444.42 1246.16   2\r\n -14   8  -1 2158.44 953.081   6\r\n  14   8   1 1016.35 815.817   1\r\n  15   0   0 683.740 442.284   2\r\n -15   0   0-1372.72 731.489   4\r\n  15   0   0 75.1635 685.693   4\r\n -15   0   0 754.712 592.148   2\r\n -15   0   1 19145.8 1878.32   4\r\n  15   0   1 21083.2 2046.59   4\r\n  15   0  -1 21877.3 2039.54   4\r\n -15   0  -1 22666.7 1850.66   2\r\n  15   0  -1 19311.9 1720.93   7\r\n -15   0   1 19337.7 2051.20   2\r\n  15   0   1 21120.0 1929.34   2\r\n -15   0  -1 19548.6 2079.54   6\r\n  15   0   2 6031.86 1003.13   2\r\n  15   0  -2 6137.57 1131.75   7\r\n  15   0   2 7044.06 1338.06   4\r\n -15   0   2 5443.24 1042.34   4\r\n -15   0  -2 6245.33 1217.32   6\r\n  15   0  -2 4895.55 1089.51   4\r\n -15   0   2 4245.54 1102.12   2\r\n -15   0  -3 24341.1 3157.34   3\r\n  15   0   3 23008.6 2504.76   4\r\n -15   0   3 21600.2 2005.20   4\r\n  15   0  -3 23449.3 1981.40   1\r\n  15   0  -3 25506.9 2415.23   7\r\n  15   0  -3 18401.5 2253.65   4\r\n -15   0   3 23670.6 2517.02   2\r\n  15   0   3 23865.7 1831.16   2\r\n -15   0  -3 25176.8 2164.35   6\r\n  15   0  -3 24973.5 1907.11   5\r\n  15   0  -4-15.1589 615.321   5\r\n -15   0  -4-2165.80 1378.29   3\r\n  15   0  -4 131.030 743.189   7\r\n  15   0  -4-205.220 638.924   1\r\n  15   0   4 1714.88 1056.57   4\r\n -15   0  -4-218.007 699.231   6\r\n -15   0   4-332.161 703.608   2\r\n  15   0  -5 938.105 651.139   5\r\n -15   0  -5 620.434 762.553   3\r\n  15   0  -5-19.4202 851.880   7\r\n  15   0   5 939.483 972.756   4\r\n -15   0   5 829.043 695.260   2\r\n  15   0  -6 2719.69 963.603   5\r\n -15   0  -6 804.059 1749.45   3\r\n  15   0  -6 1870.31 1159.49   7\r\n  15   0   6 2544.14 1431.42   4\r\n -15   0   6 4354.12 1184.86   2\r\n -15  -1  -6-353.327 1839.82   3\r\n  15   1  -6 260.425 990.909   7\r\n  15  -1   6 2844.50 1438.14   4\r\n -15   1   6 1414.36 1097.21   2\r\n  15   1  -5 1403.17 649.215   5\r\n -15  -1  -5 647.770 1671.40   3\r\n  15   1  -5 531.392 764.801   7\r\n  15  -1   5 366.322 1079.44   4\r\n -15   1   5-1414.63 1080.29   2\r\n  15   1  -4 3243.40 846.698   5\r\n -15  -1  -4 3726.08 1801.24   3\r\n  15   1  -4 4156.72 1248.16   7\r\n  15  -1   4 3461.56 1344.05   4\r\n -15   1   4 3073.04 761.910   4\r\n -15  -1  -4 3628.80 844.702   6\r\n  15   1  -4 2474.50 801.225   1\r\n -15   1   4 2462.37 1051.98   2\r\n  15  -1   4 3515.37 856.428   2\r\n -15  -1  -3-15.4748 1309.32   3\r\n  15   1  -3 319.128 348.071   5\r\n  15   1  -3 691.971 306.823   1\r\n  15  -1   3-103.937 498.962   7\r\n  15   1  -3 478.285 917.529   7\r\n  15  -1   3-394.087 997.260   4\r\n -15   1   3 129.728 337.418   4\r\n -15  -1  -3 9.44861 541.686   6\r\n -15   1   3-895.031 817.846   2\r\n  15  -1   3-239.751 501.924   2\r\n -15  -1  -2 8583.14 1089.77   2\r\n  15  -1   2 9799.49 1332.36   2\r\n  15   1  -2 8798.86 1378.09   7\r\n -15   1   2 7509.07 1178.38   4\r\n  15  -1   2 9063.15 1522.34   4\r\n -15  -1  -2 10162.4 1447.83   6\r\n -15   1   2 7900.63 1382.85   2\r\n  15   1  -2 9138.14 1562.94   4\r\n -15   1   1 22734.0 1958.91   4\r\n  15  -1   1 23523.2 2124.19   4\r\n  15   1  -1 17851.9 1968.05   4\r\n -15   1   1 19601.0 1965.18   2\r\n -15  -1  -1 22087.4 1849.03   2\r\n  15   1  -1 18675.9 1862.66   7\r\n  15  -1   1 22572.5 2010.67   2\r\n -15   1   0 21090.2 1980.51   4\r\n  15  -1   0 15725.7 1736.30   4\r\n  15   1   0 18595.5 1954.10   4\r\n -15   1   0 18371.0 1811.55   2\r\n  15  -1   0 15182.9 1314.40   7\r\n -15  -1   0 18877.1 1866.01   2\r\n  15  -1   0 18992.7 1926.41   2\r\n  15   1   0 21224.4 2050.94   2\r\n -15   1   0 16610.2 1996.34   6\r\n  15   1   1 21720.6 2151.71   4\r\n  15  -1  -1 18820.3 1814.36   4\r\n  15  -1  -1 18645.7 1527.73   7\r\n -15  -1   1 20242.0 2080.61   2\r\n  15   1   1 19730.4 1902.67   2\r\n -15   1  -1 17626.5 2039.71   6\r\n  15   1   1 16496.8 1616.95   5\r\n -15  -1   2 7728.90 1483.15   2\r\n  15   1   2 10398.1 1572.25   4\r\n  15  -1  -2 9852.72 1341.77   4\r\n  15  -1  -2 8090.25 1230.90   7\r\n  15   1   2 10032.6 1256.67   2\r\n -15   1  -2 9396.77 1484.07   6\r\n -15   1  -2 8555.94 1791.85   3\r\n -15  -1   3-1131.90 918.069   2\r\n -15   1  -3-335.166 559.400   3\r\n  15  -1  -3-205.385 611.117   5\r\n  15   1   3-249.742 504.151   2\r\n  15  -1  -3 347.321 877.141   7\r\n  15   1   3-510.134 849.800   4\r\n -15   1  -3-205.920 622.203   6\r\n  15  -1  -3 745.164 626.465   4\r\n -15  -1   4 3466.29 1228.06   2\r\n  15  -1  -4 3949.71 1133.18   5\r\n -15   1  -4 5398.03 1847.49   3\r\n  15  -1  -4 3702.08 1360.63   7\r\n  15   1   4 3541.94 1317.67   4\r\n -15   1  -4 3815.83 997.414   6\r\n -15  -1   5 51.6728 307.186   2\r\n  15  -1  -5 1302.70 822.099   5\r\n -15   1  -5 2290.74 1508.07   3\r\n  15  -1  -5 425.162 836.289   7\r\n -15   1  -5 79.1608 591.589   6\r\n  15   1   5 772.814 893.072   4\r\n -15  -1   6-735.767 1477.92   2\r\n  15  -1  -6-584.746 838.063   5\r\n  15  -1  -6 1010.69 1099.16   7\r\n  15   1   6-19.1902 1239.19   4\r\n -15  -2  -6-1661.94 1902.30   3\r\n  15   2  -6-2410.10 1599.73   7\r\n  15  -2   6 596.495 1213.90   4\r\n -15   2   6-776.047 618.493   2\r\n -15   2   6-960.396 1066.37   6\r\n -15  -2  -5 403.049 2052.84   3\r\n  15   2  -5 1381.61 1189.08   7\r\n  15  -2   5 1578.38 1297.60   4\r\n -15   2   5 2421.64 1034.63   2\r\n -15   2   5-52.9005 594.740   6\r\n -15  -2  -4 13856.7 2734.07   3\r\n  15  -2   4 16096.8 2352.12   4\r\n -15   2   4 10813.4 1310.64   4\r\n -15   2   4 17904.8 2189.20   2\r\n  15  -2   4 13089.3 1667.44   2\r\n  15   2  -4 10852.2 2107.43   7\r\n -15  -2  -4 13810.1 1357.89   6\r\n -15   2   4 13443.7 2115.06   6\r\n  15   2  -4 13109.7 1194.57   5\r\n -15  -2  -3 10000.4 2242.96   3\r\n  15  -2   3 11886.3 1825.62   4\r\n -15   2   3 8822.16 1210.34   4\r\n  15  -2   3 8452.57 1171.38   7\r\n  15   2  -3 9795.83 1622.08   7\r\n -15   2   3 9591.37 1596.40   2\r\n -15  -2  -3 8467.53 1274.01   6\r\n  15  -2   3 8587.11 1311.50   2\r\n -15   2   3 8029.36 1584.28   6\r\n  15   2  -3 9038.27 846.205   5\r\n -15   2   2 16448.2 1657.16   4\r\n  15  -2   2 18020.3 2119.07   4\r\n  15  -2   2 15976.9 1282.00   7\r\n -15   2   2 16810.2 2025.73   2\r\n -15  -2  -2 15913.5 1444.31   2\r\n  15   2  -2 14531.6 2079.39   4\r\n  15   2  -2 14496.8 1804.40   7\r\n  15  -2   2 17356.1 1876.75   2\r\n -15   2   2 14247.8 2045.78   6\r\n  15   2  -2 15184.2 973.394   5\r\n -15   2   1-136.517 913.694   2\r\n -15   2   1-86.1550 565.027   4\r\n  15  -2   1 726.672 681.968   4\r\n -15   2   1 241.178 766.619   6\r\n  15   2  -1 205.770 892.772   4\r\n  15  -2   1 555.821 649.166   2\r\n -15  -2  -1 335.882 527.976   2\r\n -15  -2   0 9374.49 1422.13   2\r\n  15  -2   0 11382.8 1471.73   4\r\n  15   2   0 11796.7 1722.76   4\r\n  15  -2   0 11509.7 976.700   7\r\n -15   2   0 9890.13 1437.47   4\r\n  15   2   0 11741.1 1624.95   2\r\n -15   2   0 14199.5 1935.78   6\r\n  15   2   0 10791.0 1207.70   5\r\n  15   2   1 302.029 580.756   5\r\n -15  -2   1 686.827 689.676   2\r\n  15  -2  -1 161.170 389.129   7\r\n  15   2   1 276.893 587.766   2\r\n  15  -2  -1 8.95117 582.392   4\r\n  15   2   1-116.773 889.787   4\r\n -15   2  -1-464.528 881.288   6\r\n -15   2  -2 18594.5 2577.81   3\r\n  15   2   2 16220.9 2030.24   4\r\n  15  -2  -2 16294.4 1642.57   4\r\n  15  -2  -2 15360.8 1639.30   7\r\n -15  -2   2 15822.4 2108.63   2\r\n -15   2  -2 15999.6 2080.86   6\r\n  15   2   2 16895.2 1635.06   2\r\n  15   2   2 16539.2 1888.49   5\r\n -15  -2   3 9112.29 1828.13   2\r\n -15   2  -3 7538.23 1837.88   3\r\n  15  -2  -3 9416.93 1422.31   5\r\n  15  -2  -3 8152.54 1458.95   7\r\n  15   2   3 9588.72 1588.81   4\r\n -15   2  -3 10244.1 1625.23   6\r\n  15  -2  -3 9557.18 1319.90   4\r\n -15  -2   4 12624.6 2145.84   2\r\n -15   2  -4 15116.6 2963.01   3\r\n  15  -2  -4 13154.7 1986.48   7\r\n -15   2  -4 13578.4 1921.25   6\r\n  15   2   4 14874.2 2183.30   4\r\n  15  -2  -4 15298.9 1943.26   5\r\n -15  -2   5 3130.82 1072.28   2\r\n  15  -2  -5 501.756 740.110   5\r\n -15   2  -5 2853.69 1845.93   3\r\n  15  -2  -5 4044.21 1333.06   7\r\n  15   2   5 3552.23 1325.28   4\r\n -15  -2   6 778.453 716.435   2\r\n  15  -2  -6 2345.15 976.452   5\r\n  15  -2  -6-404.894 934.396   7\r\n  15   2   6 546.901 1278.58   4\r\n -15  -3  -5 993.132 1549.35   3\r\n  15   3  -5 990.023 1112.28   7\r\n  15  -3   5 3457.75 1696.09   4\r\n -15   3   5 1909.95 868.376   6\r\n -15  -3  -4 31.1271 1469.58   3\r\n  15   3  -4 27.0757 914.398   7\r\n  15  -3   4-945.590 870.431   4\r\n -15   3   4 1507.39 777.568   6\r\n -15  -3  -3 1956.87 1282.51   3\r\n  15  -3   3 491.169 461.319   7\r\n -15   3   3 5.45165 498.946   4\r\n  15   3  -3 1871.06 910.440   7\r\n  15  -3   3 786.373 887.758   4\r\n -15   3   3 902.267 616.133   7\r\n -15  -3  -3 829.200 302.574   2\r\n -15   3   3 608.006 707.181   6\r\n -15  -3  -3 1139.02 518.950   6\r\n  15  -3   2 4464.94 589.377   7\r\n -15   3   2 4372.14 947.401   4\r\n  15   3  -2 4810.63 1277.10   7\r\n  15  -3   2 4624.13 1202.17   4\r\n -15   3   2 4584.75 1318.72   6\r\n -15  -3  -2 4821.17 898.917   2\r\n  15   3  -2 3924.34 1335.09   4\r\n -15   3   1 18747.4 1855.64   4\r\n  15  -3   1 19528.3 2072.17   4\r\n  15  -3   1 18984.3 797.830   7\r\n  15   3  -1 16688.0 2319.69   4\r\n  15  -3   1 19433.7 748.425   7\r\n -15  -3  -1 20296.5 1870.05   2\r\n -15   3   1 19139.1 2423.10   6\r\n  15   3  -1 19795.0 1115.13   5\r\n -15  -3   0 8018.54 1352.62   2\r\n  15  -3   0 8926.90 660.241   7\r\n -15   3   0 9108.50 1440.76   4\r\n  15  -3   0 7639.23 1249.81   4\r\n -15   3   0 8641.86 1613.43   6\r\n  15   3   0 9865.62 1597.35   4\r\n  15   3   0 9207.00 1088.62   5\r\n  15  -3  -1 19205.0 1757.92   4\r\n  15   3   1 17767.4 2108.13   4\r\n  15  -3  -1 18377.4 1320.27   7\r\n -15  -3   1 20173.8 2276.32   2\r\n -15   3  -1 19915.4 2378.06   6\r\n  15   3   1 18506.1 1764.34   5\r\n  15   3   2 4727.59 1193.04   5\r\n -15   3  -2 4238.21 1258.20   3\r\n -15  -3   2 3279.56 1220.96   2\r\n  15  -3  -2 4201.30 841.917   7\r\n -15   3  -2 3573.46 1193.66   6\r\n  15   3   2 2717.26 1086.50   4\r\n  15  -3  -2 4488.25 840.664   4\r\n -15   3  -3 1469.72 1390.53   3\r\n  15  -3  -3 1026.65 650.060   5\r\n -15  -3   3 289.678 989.184   2\r\n  15  -3  -3-67.7814 776.807   7\r\n -15   3  -3 1983.89 992.296   6\r\n  15   3   3 634.846 702.836   4\r\n  15  -3  -3 893.374 521.484   4\r\n  15  -3  -4-223.709 631.592   5\r\n -15  -3   4 1023.94 882.320   2\r\n -15   3  -4 2284.93 1325.39   3\r\n  15  -3  -4 55.0873 727.020   7\r\n -15   3  -4-529.794 737.068   6\r\n  15   3   4 1035.56 874.893   4\r\n  15  -3  -5 267.984 742.627   5\r\n -15  -3   5 2798.93 1256.53   2\r\n  15  -3  -5 3002.38 1055.26   7\r\n  15   3   5 2607.59 1164.17   4\r\n -15  -4  -5 2456.91 1982.22   3\r\n  15   4  -5 3362.58 1560.66   7\r\n  15  -4   5 763.410 1398.89   4\r\n -15   4   5 3096.78 1053.81   6\r\n -15  -4  -4 2685.53 1559.25   3\r\n  15   4  -4 1370.76 1045.72   7\r\n  15  -4   4 3084.21 1364.05   4\r\n -15   4   4 2450.95 1079.35   6\r\n -15  -4  -3 2052.06 1203.66   3\r\n  15  -4   3 1750.92 974.837   4\r\n  15   4  -3 2654.63 1047.23   7\r\n -15   4   3 2680.10 1051.54   6\r\n -15  -4  -3 1856.75 525.047   2\r\n -15   4   2 15727.6 1609.08   4\r\n  15  -4   2 16253.4 2138.05   4\r\n -15  -4  -2 15451.3 1625.81   2\r\n  15   4  -2 14930.1 2162.95   7\r\n -15   4   2 14702.3 2255.24   6\r\n -15   4   1 12207.5 1600.78   4\r\n -15  -4  -1 14615.7 1751.73   2\r\n  15  -4   1 11256.1 1676.77   4\r\n -15   4   1 12230.6 1966.67   6\r\n  15   4  -1 11461.3 2139.17   4\r\n  15  -4   0 21028.7 2023.46   4\r\n  15   4   0 19215.1 2478.50   4\r\n -15  -4   0 21361.8 2315.23   2\r\n -15   4   0 21860.5 2632.06   6\r\n  15   4   0 18884.5 1381.14   5\r\n -15   4  -1 10747.0 1951.20   3\r\n  15  -4  -1 12210.2 1469.96   4\r\n -15  -4   1 15249.3 2072.09   2\r\n -15   4  -1 11871.2 2069.50   6\r\n  15   4   1 13342.1 2042.51   4\r\n  15   4   1 12520.0 1394.31   5\r\n -15   4  -2 18331.1 2650.30   3\r\n  15  -4  -2 16162.0 1421.24   7\r\n  15  -4  -2 16410.9 1478.29   4\r\n  15   4   2 15850.9 2135.07   4\r\n -15  -4   2 17554.3 2352.30   2\r\n -15   4  -2 14902.9 2261.94   6\r\n  15  -4  -3 2379.37 998.254   5\r\n -15   4  -3 2094.13 1321.76   3\r\n -15  -4   3 2019.64 1023.75   2\r\n  15  -4  -3 2056.95 672.978   7\r\n -15   4  -3 786.188 608.425   6\r\n  15   4   3 1212.13 932.144   4\r\n  15  -4  -3 2381.06 584.310   4\r\n  15  -4  -4 2916.29 1337.92   5\r\n -15  -4   4 3057.64 1500.23   2\r\n -15   4  -4 3373.35 1656.89   3\r\n  15  -4  -4 2056.03 946.834   7\r\n -15   4  -4 2465.30 1272.83   6\r\n  15   4   4 3536.79 1335.75   4\r\n  15  -4  -5 1620.86 1305.64   5\r\n -15  -4   5 1679.24 1193.85   2\r\n -15   4  -5 1486.38 1390.99   3\r\n  15   4   5 2746.81 1456.40   4\r\n -15  -5  -4 259.825 1723.26   3\r\n  15  -5   4 3434.82 1210.87   4\r\n  15   5  -4 3047.93 1181.60   7\r\n -15   5   4 733.963 1097.90   6\r\n -15  -5  -3 3681.01 1768.07   3\r\n  15  -5   3 3589.18 1423.66   4\r\n  15   5  -3 2288.41 1131.36   7\r\n -15   5   3 1389.83 1160.73   6\r\n -15  -5  -2 5595.37 1092.89   2\r\n  15  -5   2 7088.41 1659.06   4\r\n  15   5  -2 6817.30 1603.22   7\r\n -15   5   2 5183.86 1418.14   6\r\n -15  -5  -1 3247.46 1026.88   2\r\n  15  -5   1 4332.99 1164.25   4\r\n -15   5   1 2438.56 1174.85   6\r\n -15  -5   0 4201.96 1224.12   2\r\n  15  -5   0 5030.02 1136.70   4\r\n -15   5   0 4568.42 1487.99   6\r\n  15   5   0 5278.50 1464.86   4\r\n -15   5   0 4513.97 1411.47   3\r\n -15   5  -1 1628.38 1064.12   3\r\n  15   5   1 3114.12 818.702   5\r\n -15  -5   1 2893.54 1244.20   2\r\n  15  -5  -1 3011.71 745.673   4\r\n -15   5  -1 2819.27 1217.13   6\r\n  15   5   1 2883.47 1299.64   4\r\n -15   5  -2 7009.50 1823.08   3\r\n  15  -5  -2 8264.89 1048.88   4\r\n -15  -5   2 7970.82 1866.84   2\r\n -15   5  -2 11227.9 1928.92   6\r\n  15   5   2 4810.49 1478.02   4\r\n  15  -5  -3 1202.31 1000.23   5\r\n -15   5  -3 3545.32 1578.98   3\r\n -15  -5   3 2383.01 1048.54   2\r\n -15   5  -3 2623.69 1065.14   6\r\n  15   5   3 2493.85 1174.13   4\r\n  15  -5  -4 692.461 882.455   5\r\n -15   5  -4 199.841 885.932   3\r\n -15  -5   4 1430.28 1151.07   2\r\n -15   5  -4 202.150 1089.15   6\r\n  15   5   4 463.047 991.457   4\r\n  15  -6   4 241.936 1122.07   4\r\n  15   6  -4 951.282 966.192   7\r\n -15   6   4 1921.45 1188.40   6\r\n -15  -6  -3 4239.08 1554.58   3\r\n  15  -6   3 4727.86 1442.94   4\r\n  15   6  -3 2194.67 1323.40   7\r\n -15   6   3 2888.74 1337.73   6\r\n -15  -6  -2 1099.35 846.303   2\r\n  15  -6   2 781.243 1018.46   4\r\n  15   6  -2 1162.63 1000.27   7\r\n -15   6   2 1944.17 1037.77   6\r\n -15  -6  -2 2344.67 1250.81   3\r\n -15  -6  -1-928.989 804.859   2\r\n  15  -6   1 787.580 930.233   4\r\n -15   6   1-1641.24 1130.80   6\r\n -15   6   0 115.244 811.009   3\r\n -15  -6   0 570.758 762.059   2\r\n  15  -6   0-165.577 638.438   4\r\n -15   6   0-835.377 1091.24   6\r\n -15   6  -1 670.227 1050.33   3\r\n -15  -6   1 1083.88 1110.62   2\r\n  15  -6  -1 763.827 520.920   4\r\n -15   6  -1-2097.20 1012.02   6\r\n  15   6   1 4.92237 1225.62   4\r\n -15   6  -2-2301.22 1482.34   3\r\n -15  -6   2 997.856 1248.37   2\r\n -15   6  -2 131.778 1306.16   6\r\n  15   6   2 840.839 1008.08   4\r\n  15  -6  -3 2790.78 1193.15   5\r\n -15   6  -3 6664.32 2137.74   3\r\n -15  -6   3 2051.64 1323.93   2\r\n -15   6  -3 5226.73 1614.18   6\r\n  15   6   3 4799.25 1532.61   4\r\n  15  -6  -4 2348.56 1292.74   5\r\n -15  -6   4 2478.25 1073.53   2\r\n  15   6   4 2370.05 1368.69   4\r\n  15  -7   3 1137.39 790.682   4\r\n  15   7  -3-1888.15 1513.86   7\r\n -15   7   3-1802.45 1190.55   6\r\n  15  -7   2 452.878 972.039   4\r\n  15   7  -2-1204.55 1215.89   7\r\n -15   7   2 450.972 1073.95   6\r\n -15  -7  -1 2086.20 1010.77   2\r\n  15  -7   1 980.780 841.976   4\r\n -15  -7   0 1209.20 1304.62   2\r\n  15  -7   0 2085.89 967.916   4\r\n -15   7   0 3310.31 1455.59   6\r\n -15   7  -1 605.843 499.875   3\r\n -15  -7   1 1539.91 1064.61   2\r\n -15   7  -1 2753.89 1483.53   6\r\n  15  -7  -2 536.189 862.820   5\r\n -15   7  -2-1958.62 1555.75   3\r\n -15  -7   2 2350.62 1379.54   2\r\n -15   7  -2 1232.93 1182.69   6\r\n  15   7   2 2069.31 860.554   4\r\n  15  -7  -3-268.160 1349.63   5\r\n -15  -7   3 1652.85 991.356   2\r\n  15   7   3 2318.80 1142.85   4\r\n -15  -8   0 574.409 1180.84   2\r\n -15   8   0-618.253 594.286   6\r\n  15   8   0 1384.71 616.508   1\r\n  16   0   0 62973.1 3492.48   4\r\n -16   0   0 63198.9 3357.00   2\r\n  16   0   0 61094.3 3573.63   2\r\n  16   0   1 21026.1 2115.99   4\r\n -16   0  -1 21776.6 1942.33   2\r\n  16   0  -1 22355.4 2117.04   4\r\n  16   0  -1 21622.0 1859.46   7\r\n -16   0   1 18914.4 2064.89   2\r\n  16   0   1 20372.3 2013.36   2\r\n -16   0  -1 19877.0 2220.18   6\r\n  16   0   2 1723.25 722.443   2\r\n  16   0  -2 1740.88 790.624   7\r\n  16   0   2 1182.16 792.593   4\r\n -16   0  -2 2367.66 883.100   6\r\n  16   0  -2 1640.06 763.609   4\r\n -16   0   2 1879.21 970.444   2\r\n -16   0  -3 2547.20 1274.71   3\r\n  16   0  -3 1360.35 630.601   5\r\n  16   0   3 1839.82 652.471   2\r\n  16   0  -3 837.391 725.211   7\r\n  16   0   3 1481.88 1037.90   4\r\n -16   0  -3 2711.51 882.429   6\r\n -16   0   3 2211.71 1018.11   2\r\n  16   0  -3 2606.74 1084.82   4\r\n  16   0  -4 5645.96 1106.29   5\r\n -16   0  -4 3844.83 1826.88   3\r\n  16   0  -4 5242.96 1386.77   7\r\n  16   0   4 3550.73 1405.03   4\r\n -16   0  -4 4410.42 1020.47   6\r\n -16   0   4 3988.64 1278.13   2\r\n  16   0  -5 255.587 461.302   5\r\n -16   0  -5-2399.49 1514.19   3\r\n  16   0  -5-1333.01 1245.95   7\r\n  16   0   5 193.665 707.818   4\r\n -16   0   5 1833.42 749.975   2\r\n -16   0  -6-2552.33 2101.15   3\r\n  16   0  -6 1066.62 840.202   7\r\n  16   0   6-572.058 1383.37   4\r\n -16   0   6 1274.71 900.018   2\r\n -16  -1  -6-2862.45 2155.84   3\r\n  16   1  -6 3177.13 1761.82   7\r\n  16  -1   6 1083.23 1153.12   4\r\n -16   1   6-515.988 558.590   2\r\n -16  -1  -5 286.211 1680.51   3\r\n  16   1  -5-1377.13 1036.93   7\r\n  16  -1   5 2818.34 1296.54   4\r\n -16   1   5 796.001 833.999   2\r\n -16  -1  -4 10546.9 2523.69   3\r\n  16  -1   4 16136.3 2245.19   4\r\n -16   1   4 12886.0 1683.93   4\r\n  16   1  -4 15453.0 2229.36   7\r\n -16   1   4 15088.6 2227.12   2\r\n -16  -1  -4 14645.3 1623.94   6\r\n  16   1  -4 13017.5 1533.59   5\r\n -16  -1  -3 22625.4 3245.02   3\r\n  16  -1   3 23190.5 2583.18   4\r\n -16   1   3 21276.8 1980.44   4\r\n  16  -1   3 18361.7 1716.15   7\r\n  16   1  -3 20934.7 2369.16   7\r\n -16   1   3 22921.3 2498.81   2\r\n  16   1  -3 22908.0 1912.23   1\r\n  16  -1   3 22476.1 2000.16   2\r\n -16  -1  -3 21313.0 2036.67   6\r\n  16   1  -3 22427.1 1645.18   5\r\n -16   1   2 9057.24 1314.20   4\r\n -16  -1  -2 9004.15 1186.95   2\r\n  16  -1   2 12018.3 1618.76   2\r\n  16   1  -2 10403.8 1511.06   7\r\n  16  -1   2 9023.25 1513.12   4\r\n -16   1   2 8953.58 1560.16   2\r\n -16  -1  -2 8427.18 1366.30   6\r\n  16   1  -2 9342.52 1638.14   4\r\n -16   1   1 13835.4 1618.72   4\r\n  16  -1   1 12676.6 1717.09   4\r\n -16   1   1 10630.2 1581.37   2\r\n -16  -1  -1 11498.1 1461.74   2\r\n  16   1  -1 11684.5 1589.43   7\r\n  16  -1   1 11592.2 1587.97   2\r\n  16   1  -1 10027.7 1620.45   4\r\n  16   1   0 606.293 659.143   2\r\n  16  -1   0 6.50120 561.440   7\r\n -16   1   0 836.796 751.571   2\r\n  16  -1   0 1279.10 774.749   4\r\n  16   1   0 44.2381 865.654   4\r\n -16   1   0 412.033 749.153   6\r\n -16  -1   0 21.7773 644.867   2\r\n  16   1   1 13029.7 1790.59   4\r\n  16  -1  -1 12079.5 1573.39   4\r\n  16  -1  -1 10585.9 1224.16   7\r\n -16  -1   1 12673.2 1747.29   2\r\n  16   1   1 12756.6 1598.93   2\r\n -16   1  -1 11049.7 1716.92   6\r\n  16   1   1 11560.7 1357.57   5\r\n -16  -1   2 9729.23 1768.53   2\r\n  16  -1  -2 10113.5 1446.95   4\r\n  16  -1  -2 7948.29 1317.96   7\r\n  16   1   2 9280.42 1318.34   2\r\n -16   1  -2 11399.5 1631.85   6\r\n  16   1   2 7483.95 1436.23   4\r\n -16   1  -2 11647.6 2064.89   3\r\n -16   1  -3 20626.8 3071.29   3\r\n  16   1   3 24267.1 2529.18   4\r\n  16  -1  -3 21746.3 2262.82   7\r\n  16  -1  -3 26718.9 2428.56   4\r\n -16  -1   3 19578.6 2424.16   2\r\n  16   1   3 23798.9 1779.73   2\r\n -16   1  -3 20484.5 2236.36   6\r\n  16  -1  -3 23820.8 2072.96   5\r\n -16  -1   4 14479.5 2269.57   2\r\n -16   1  -4 16343.1 3020.51   3\r\n  16   1   4 16406.9 2304.16   4\r\n  16  -1  -4 15772.8 2256.44   7\r\n -16   1  -4 14279.9 1904.94   6\r\n  16  -1  -4 12797.5 1707.58   5\r\n -16  -1   5 378.972 722.816   2\r\n  16  -1  -5 261.429 884.682   5\r\n -16   1  -5 1513.01 948.717   3\r\n  16  -1  -5 167.564 1174.91   7\r\n  16   1   5 2045.82 976.678   4\r\n -16   1  -5 338.383 425.998   6\r\n  16  -1  -6 544.222 935.567   5\r\n -16   1  -6 1077.90 2093.42   3\r\n  16  -1  -6 311.537 1184.43   7\r\n  16   1   6 1148.06 1342.03   4\r\n -16  -1   6-1831.91 827.471   2\r\n -16  -2  -5 222.453 1292.68   3\r\n  16   2  -5-1494.63 1341.13   7\r\n  16  -2   5 213.035 1130.19   4\r\n -16   2   5 429.096 758.512   2\r\n -16   2   5-168.770 833.590   6\r\n -16  -2  -4 429.285 1250.69   3\r\n  16   2  -4 392.645 877.314   7\r\n  16  -2   4-8.89014 1076.07   4\r\n -16  -2  -4 707.563 468.643   6\r\n -16   2   4-724.644 716.939   2\r\n -16   2   4 80.4375 320.028   6\r\n -16  -2  -3 3723.53 1641.77   3\r\n  16   2  -3 3978.25 684.374   5\r\n  16  -2   3 5638.22 949.254   7\r\n  16   2  -3 3628.76 1159.50   7\r\n -16   2   3 2959.06 767.420   4\r\n  16  -2   3 4291.11 1405.13   4\r\n -16   2   3 3854.53 1303.64   2\r\n -16  -2  -3 4539.68 1076.58   6\r\n -16   2   3 3502.51 1337.13   6\r\n  16  -2   3 3367.82 1099.24   2\r\n -16   2   2 28231.1 2209.91   4\r\n  16  -2   2 28745.7 2688.22   4\r\n -16   2   2 25916.7 2527.31   2\r\n -16  -2  -2 30007.6 2036.99   2\r\n  16   2  -2 27197.6 2832.01   4\r\n  16   2  -2 32218.6 2647.14   7\r\n -16   2   2 25423.1 2787.86   6\r\n  16   2  -2 27598.0 1399.40   5\r\n -16   2   1 57021.0 3213.19   4\r\n  16  -2   1 60864.4 3542.46   4\r\n -16   2   1 59433.0 3532.23   2\r\n  16   2  -1 62372.4 3856.62   4\r\n  16   2  -1 55707.7 3412.26   7\r\n -16  -2  -1 62271.9 3209.90   2\r\n -16   2   1 53933.9 3808.37   6\r\n  16  -2   0 18699.3 1916.35   4\r\n  16   2   0 19009.5 2154.93   4\r\n  16  -2   0 22315.6 1389.77   7\r\n -16  -2   0 19583.3 2041.97   2\r\n -16   2   0 21407.3 2474.11   6\r\n  16   2   0 17120.5 1531.85   5\r\n  16  -2  -1 61521.9 3207.66   4\r\n  16   2   1 60546.0 3633.50   4\r\n  16  -2  -1 62166.3 2667.35   7\r\n -16  -2   1 60186.8 3657.19   2\r\n  16   2   1 64325.1 3499.68   2\r\n -16   2  -1 59525.3 3858.52   6\r\n  16   2   1 62600.5 3191.07   5\r\n -16   2  -2 30836.6 3325.35   3\r\n  16   2   2 28370.1 2681.77   4\r\n  16  -2  -2 27074.0 2153.70   4\r\n  16  -2  -2 24527.7 2054.75   7\r\n -16  -2   2 28383.1 2751.57   2\r\n -16   2  -2 27174.6 2708.69   6\r\n  16   2   2 26003.6 2115.03   2\r\n -16  -2   3 5871.90 1522.40   2\r\n -16   2  -3 3377.32 1363.75   3\r\n  16  -2  -3 4642.69 1049.66   5\r\n  16  -2  -3 3308.87 1043.27   7\r\n  16   2   3 3670.00 1262.30   4\r\n -16   2  -3 5096.36 1226.68   6\r\n  16  -2  -3 3183.44 945.997   4\r\n -16  -2   4-1814.25 1147.82   2\r\n  16  -2  -4-1686.23 887.908   5\r\n -16   2  -4-105.021 1331.44   3\r\n  16  -2  -4 743.560 741.793   7\r\n  16   2   4 983.344 1061.00   4\r\n -16   2  -4-281.462 681.879   6\r\n -16  -2   5 1725.80 1244.19   2\r\n  16  -2  -5 512.988 944.951   5\r\n -16   2  -5-2390.54 1716.86   3\r\n  16  -2  -5 362.209 1131.64   7\r\n -16   2  -5 44.6484 613.158   6\r\n  16   2   5-172.816 1134.33   4\r\n -16  -3  -5 4404.09 2160.89   3\r\n  16   3  -5 6615.04 1712.08   7\r\n  16  -3   5 7756.47 1973.88   4\r\n -16   3   5 6112.59 1760.12   6\r\n -16  -3  -4 3989.79 1879.55   3\r\n  16   3  -4 3032.92 1209.43   7\r\n  16  -3   4 3813.90 1297.42   4\r\n -16   3   4 2997.11 1090.78   6\r\n -16  -3  -3 1334.34 1190.95   3\r\n -16   3   3 3013.63 646.232   4\r\n  16   3  -3 2965.31 1165.56   7\r\n  16  -3   3 2938.21 1099.91   4\r\n -16  -3  -3 1537.44 482.604   2\r\n -16   3   3 1791.79 918.233   6\r\n -16  -3  -3 859.994 611.964   6\r\n -16   3   2 21529.5 2002.03   4\r\n  16  -3   2 26100.4 2664.87   4\r\n  16  -3   2 24147.3 1321.46   7\r\n  16   3  -2 25822.6 2602.76   7\r\n  16   3  -2 28790.2 3059.39   4\r\n -16  -3  -2 24989.0 1967.19   2\r\n -16   3   2 23249.2 2736.15   6\r\n -16  -3  -1 8480.06 1345.61   2\r\n  16  -3   1 7740.14 576.732   7\r\n  16  -3   1 8545.67 572.639   7\r\n -16   3   1 9454.71 1367.94   4\r\n  16  -3   1 8184.86 1505.76   4\r\n -16   3   1 7102.05 1712.14   6\r\n  16   3  -1 8849.48 829.976   5\r\n  16   3  -1 8159.00 1636.09   4\r\n  16   3   0 2686.87 635.287   5\r\n -16  -3   0 2761.14 956.729   2\r\n  16  -3   0 2763.67 455.964   7\r\n  16  -3   0 2304.26 830.428   4\r\n -16   3   0 2850.30 1163.67   6\r\n  16   3   0 2430.81 1082.33   4\r\n  16   3   1 7917.12 1271.52   5\r\n -16  -3   1 8538.94 1579.91   2\r\n  16  -3  -1 8079.88 943.437   7\r\n  16  -3  -1 8112.33 1243.97   4\r\n -16   3  -1 9801.91 1800.35   6\r\n  16   3   1 8515.42 1600.03   4\r\n -16   3  -2 23365.1 3106.31   3\r\n  16   3   2 26430.5 2661.61   4\r\n  16  -3  -2 26042.9 2013.35   4\r\n  16  -3  -2 24189.9 1977.98   7\r\n -16  -3   2 24917.7 2748.53   2\r\n -16   3  -2 24500.8 2733.80   6\r\n -16   3  -3 1645.51 1101.24   3\r\n -16  -3   3 1458.16 982.169   2\r\n  16  -3  -3 1350.45 834.683   5\r\n  16  -3  -3 2027.17 824.550   7\r\n -16   3  -3 1051.67 714.510   6\r\n  16   3   3 1326.89 948.879   4\r\n  16  -3  -3 2199.49 750.802   4\r\n  16  -3  -4 2963.49 1159.24   5\r\n -16  -3   4 2090.68 1157.01   2\r\n -16   3  -4 1010.28 1201.93   3\r\n  16  -3  -4 2453.75 986.437   7\r\n -16   3  -4 1988.24 913.455   6\r\n  16   3   4 1995.63 1005.74   4\r\n  16  -3  -5 6054.66 1634.09   5\r\n -16  -3   5 5189.64 1753.59   2\r\n -16   3  -5 5863.13 2238.77   3\r\n  16  -3  -5 6657.21 1623.71   7\r\n  16   3   5 3334.70 1397.24   4\r\n -16  -4  -5-5321.99 2421.77   3\r\n  16   4  -5-3417.71 1650.96   7\r\n  16  -4   5 1003.14 968.984   4\r\n -16   4   5 499.713 895.407   6\r\n -16  -4  -4 1986.14 1785.35   3\r\n  16   4  -4 4966.57 1251.67   7\r\n  16  -4   4 2406.62 1356.72   4\r\n -16   4   4 341.833 665.025   6\r\n -16  -4  -3 1963.35 1265.46   3\r\n  16   4  -3-779.899 824.743   7\r\n  16  -4   3 528.398 866.351   4\r\n -16   4   3 1301.45 953.897   6\r\n -16  -4  -3 827.356 515.833   2\r\n -16  -4  -2 6051.75 1073.64   2\r\n -16   4   2 5279.21 1086.34   4\r\n  16  -4   2 9316.53 1716.86   4\r\n  16   4  -2 5400.53 1471.92   7\r\n -16   4   2 6201.58 1478.74   6\r\n -16  -4  -1 9963.61 1540.70   2\r\n -16   4   1 10277.7 1545.39   4\r\n  16  -4   1 9259.13 1545.87   4\r\n -16   4   1 8623.67 1808.14   6\r\n  16   4  -1 6953.96 2056.21   4\r\n  16  -4   0 28275.4 2331.41   4\r\n  16   4   0 25821.6 2744.21   4\r\n -16  -4   0 25918.4 2550.53   2\r\n -16   4   0 26233.8 2921.11   6\r\n  16   4   0 26450.2 1658.60   5\r\n -16   4  -1 6065.24 1923.42   3\r\n  16   4   1 7941.29 1262.70   5\r\n -16  -4   1 10015.9 1856.69   2\r\n  16  -4  -1 9568.23 1398.10   4\r\n -16   4  -1 12514.2 2085.25   6\r\n  16   4   1 9647.78 1879.19   4\r\n -16   4  -2 7005.79 1791.19   3\r\n -16  -4   2 7349.35 1662.95   2\r\n  16  -4  -2 6623.24 949.745   7\r\n -16   4  -2 6007.08 1547.35   6\r\n  16  -4  -2 6059.91 1035.88   4\r\n  16   4   2 6029.11 1525.30   4\r\n  16  -4  -3 575.618 647.141   5\r\n -16   4  -3 178.863 1144.16   3\r\n -16  -4   3 1092.77 934.348   2\r\n  16  -4  -3 171.788 522.006   7\r\n -16   4  -3-464.660 614.922   6\r\n  16   4   3-82.1467 1058.89   4\r\n  16  -4  -3 757.840 504.639   4\r\n  16  -4  -4 1532.84 754.243   5\r\n -16  -4   4 931.708 844.259   2\r\n -16   4  -4 810.907 1330.68   3\r\n  16  -4  -4 1954.68 873.356   7\r\n -16   4  -4 1692.98 1129.59   6\r\n  16   4   4 2078.56 942.060   4\r\n  16  -4  -5 1707.14 1125.44   5\r\n -16  -4   5 1896.61 979.921   2\r\n  16  -4  -5 1860.08 987.740   7\r\n  16   4   5 1935.91 1240.83   4\r\n -16  -5  -4 6481.52 2057.90   3\r\n  16  -5   4 5179.22 1587.49   4\r\n  16   5  -4 7041.36 1711.82   7\r\n -16   5   4 6816.51 1862.15   6\r\n -16  -5  -3 5963.67 1931.45   3\r\n  16  -5   3 5052.38 1623.43   4\r\n  16   5  -3 3302.50 1384.99   7\r\n -16   5   3 5582.86 1634.14   6\r\n -16  -5  -2-868.550 640.225   2\r\n  16  -5   2-553.423 653.115   4\r\n  16   5  -2-186.387 951.714   7\r\n -16   5   2-237.681 772.029   6\r\n -16  -5  -1 5736.37 1312.17   2\r\n  16  -5   1 5658.23 1337.05   4\r\n -16   5   1 5297.59 1588.04   6\r\n  16   5  -1 5629.96 1589.46   4\r\n -16  -5   0 98.4368 656.254   2\r\n  16  -5   0-112.215 732.129   4\r\n -16   5   0-96.0220 558.482   6\r\n  16   5   0-567.479 875.181   4\r\n -16   5  -1 5818.06 1574.94   3\r\n -16  -5   1 4929.66 1522.18   2\r\n  16  -5  -1 7210.65 1160.30   4\r\n -16   5  -1 5702.45 1579.89   6\r\n  16   5   1 6584.48 1669.37   4\r\n -16   5  -2-468.128 1429.45   3\r\n -16  -5   2 164.001 1039.34   2\r\n -16   5  -2-858.562 1060.14   6\r\n  16  -5  -2 373.870 412.676   4\r\n  16   5   2 454.381 800.951   4\r\n  16  -5  -3 3228.40 1284.34   5\r\n -16   5  -3 6733.52 1995.35   3\r\n -16  -5   3 5416.70 1744.35   2\r\n -16   5  -3 5126.26 1643.26   6\r\n  16   5   3 1741.99 1294.01   4\r\n  16  -5  -4 5824.29 1601.26   5\r\n -16  -5   4 5413.77 1807.16   2\r\n -16   5  -4 6388.29 2237.60   3\r\n -16   5  -4 4170.08 1550.32   6\r\n  16   5   4 5856.17 1560.86   4\r\n -16  -6  -3 2221.54 1497.07   3\r\n  16  -6   3 1686.64 1256.93   4\r\n  16   6  -3 1866.45 1358.29   7\r\n -16   6   3 2036.90 1466.77   6\r\n -16  -6  -2 1898.03 647.572   2\r\n  16  -6   2 749.915 802.370   4\r\n  16   6  -2 378.493 1172.75   7\r\n -16   6   2 3035.47 1159.70   6\r\n -16  -6  -2 2457.39 1465.86   3\r\n -16  -6  -1 1496.88 959.193   2\r\n  16  -6   1 554.345 821.189   4\r\n -16   6   1 967.647 893.124   6\r\n -16   6   0 817.322 826.630   3\r\n -16  -6   0 2350.18 1045.65   2\r\n  16  -6   0 3009.77 923.304   4\r\n -16   6   0 1411.93 1197.05   6\r\n  16   6   0 3582.09 1578.02   4\r\n -16   6  -1-498.825 675.689   3\r\n -16  -6   1 1282.12 878.369   2\r\n  16  -6  -1 796.365 485.465   4\r\n -16   6  -1 1806.30 1074.12   6\r\n  16   6   1 263.078 895.516   4\r\n -16   6  -2 479.875 1173.84   3\r\n -16  -6   2 1720.86 1146.24   2\r\n -16   6  -2 2458.05 1422.41   6\r\n  16   6   2 2483.00 1280.76   4\r\n  16  -6  -3 2027.97 1403.05   5\r\n -16   6  -3 3141.46 1813.35   3\r\n -16  -6   3 3305.95 1514.98   2\r\n -16   6  -3 2851.92 1360.93   6\r\n  16   6   3 2548.66 1398.40   4\r\n  16  -7   2 671.639 977.864   4\r\n  16   7  -2-205.452 1086.01   7\r\n -16   7   2 768.203 905.168   6\r\n -16  -7  -1 1717.44 874.656   2\r\n  16  -7   1-950.017 879.517   4\r\n -16  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5\r\n  17   0   3-121.219 560.352   2\r\n  17   0  -3-723.231 624.732   7\r\n  17   0   3 120.208 918.704   4\r\n -17   0  -3 58.7979 722.560   6\r\n -17   0   3-198.009 619.886   2\r\n  17   0  -3 137.334 639.656   4\r\n  17   0  -4 1132.45 736.835   5\r\n -17   0  -4-1360.00 1177.66   3\r\n  17   0  -4-272.740 828.004   7\r\n  17   0   4-636.111 1214.77   4\r\n -17   0  -4 1196.37 537.409   6\r\n -17   0   4 779.248 920.489   2\r\n  17   0  -5 1755.52 597.969   5\r\n -17   0  -5 544.030 1477.16   3\r\n  17   0  -5-1562.94 948.597   7\r\n  17   0   5 105.550 903.036   4\r\n -17   0   5-395.369 562.783   2\r\n -17  -1  -5 107.437 1328.02   3\r\n  17   1  -5-1567.16 1182.83   7\r\n  17  -1   5 95.2377 836.015   4\r\n -17   1   5 1518.11 847.262   2\r\n  17   1  -4 3540.39 889.729   5\r\n -17  -1  -4 4240.18 1804.65   3\r\n  17   1  -4 3459.75 1243.37   7\r\n  17  -1   4 4227.92 1409.46   4\r\n -17  -1  -4 2741.63 775.178   6\r\n -17   1   4 1855.62 1058.46   2\r\n  17  -1   3 3056.52 915.862   2\r\n -17  -1  -3 3222.83 1497.36   3\r\n  17   1  -3 1806.26 685.576   5\r\n  17   1  -3 3213.72 878.383   1\r\n  17  -1   3 3166.69 753.616   7\r\n  17   1  -3 1885.20 1130.24   7\r\n  17  -1   3 3015.16 1250.20   4\r\n -17  -1  -3 3358.35 965.318   6\r\n -17   1   3 2981.01 1142.90   2\r\n  17   1  -3 3563.24 1346.33   4\r\n  17  -1   2 5784.09 1250.16   2\r\n -17  -1  -2 6504.01 1070.28   2\r\n  17   1  -2 5171.13 1187.00   7\r\n  17  -1   2 6906.71 1383.93   4\r\n -17   1   2 6174.63 1381.59   2\r\n -17  -1  -2 5018.56 1200.79   6\r\n  17   1  -2 5412.79 1413.62   4\r\n -17  -1  -1 12914.6 1591.59   2\r\n  17   1  -1 11210.0 1621.91   7\r\n  17  -1   1 10591.6 1647.90   4\r\n -17   1   1 11842.8 1790.58   2\r\n  17   1  -1 10707.7 1690.17   4\r\n  17  -1   0 2677.72 791.031   7\r\n -17   1   0 2713.47 956.533   2\r\n  17  -1   0 4034.68 1107.57   4\r\n  17   1   0 4610.16 1206.49   4\r\n -17   1   0 2100.07 1117.69   6\r\n -17  -1   0 3886.71 1165.58   2\r\n  17   1   1 14233.5 1946.84   4\r\n  17  -1  -1 13721.6 1695.68   4\r\n  17  -1  -1 11305.8 1379.99   7\r\n -17  -1   1 12453.9 1779.21   2\r\n  17   1   1 14126.3 1821.89   2\r\n -17   1  -1 13550.9 2008.01   6\r\n  17   1   1 10720.4 1443.36   5\r\n -17  -1   2 4302.14 1367.33   2\r\n  17   1   2 4713.44 1076.12   2\r\n  17  -1  -2 5863.00 1190.30   7\r\n  17   1   2 5390.01 1329.75   4\r\n -17   1  -2 5937.20 1267.72   6\r\n  17  -1  -2 6652.58 1237.87   4\r\n -17   1  -2 3984.09 1426.80   3\r\n -17  -1   3 3645.74 1332.60   2\r\n -17   1  -3 4022.37 1561.06   3\r\n  17  -1  -3 2900.29 874.511   5\r\n  17   1   3 4962.83 998.874   2\r\n  17  -1  -3 3486.08 1202.67   7\r\n  17   1   3 3317.03 1248.51   4\r\n -17   1  -3 3961.98 1152.59   6\r\n  17  -1  -3 2843.60 933.491   4\r\n -17  -1   4 3855.79 1055.72   2\r\n  17  -1  -4 3168.86 969.856   5\r\n -17   1  -4 3073.88 1777.52   3\r\n  17  -1  -4 1424.84 851.595   7\r\n  17   1   4 3734.43 1393.36   4\r\n -17   1  -4 2904.80 857.132   6\r\n -17  -1   5 77.2473 870.856   2\r\n  17  -1  -5 250.080 772.060   5\r\n -17   1  -5-724.193 1874.37   3\r\n  17  -1  -5 925.853 973.319   7\r\n  17   1   5 575.522 1066.30   4\r\n -17  -2  -5 1058.25 1589.22   3\r\n  17   2  -5 1205.09 1234.07   7\r\n  17  -2   5 1055.63 1528.72   4\r\n -17   2   5 2919.84 1043.73   2\r\n -17   2   5 1175.77 980.207   6\r\n -17  -2  -4 3743.74 1843.68   3\r\n  17   2  -4 3834.80 1216.61   7\r\n  17  -2   4 4121.39 1516.12   4\r\n -17   2   4 3695.34 1126.44   2\r\n -17  -2  -4 3228.59 804.879   6\r\n -17   2   4 1056.95 1000.92   6\r\n -17  -2  -3 4144.18 1897.80   3\r\n  17  -2   3 4753.57 989.908   7\r\n  17   2  -3 7343.36 1556.65   7\r\n -17   2   3 5000.69 1031.15   4\r\n  17  -2   3 6130.30 1442.55   4\r\n -17   2   3 6782.02 1465.14   2\r\n -17  -2  -3 7428.29 1312.38   6\r\n -17   2   3 6157.21 1659.95   6\r\n  17   2  -3 6611.24 819.182   5\r\n  17   2  -2 2335.33 478.789   5\r\n -17   2   2 1183.15 672.053   4\r\n  17   2  -2 2027.51 1050.74   7\r\n  17  -2   2 2283.49 983.141   4\r\n -17   2   2 1647.71 1091.02   2\r\n -17  -2  -2 2276.24 761.196   2\r\n -17   2   2 2844.71 1099.70   6\r\n  17   2  -2 1337.69 921.044   4\r\n -17   2   1 3010.75 1087.91   2\r\n  17   2  -1 2034.47 1149.82   7\r\n  17  -2   1 1999.32 1008.50   4\r\n -17   2   1 2683.82 1302.88   6\r\n  17   2  -1 3783.38 1337.53   4\r\n -17  -2  -1 2858.99 1014.79   2\r\n  17  -2   0 30427.8 2461.13   4\r\n  17   2   0 29333.7 2769.19   4\r\n  17  -2   0 32610.9 1748.66   7\r\n -17  -2   0 32513.6 2681.86   2\r\n -17   2   0 30072.9 2980.66   6\r\n  17   2   0 29812.3 2045.15   5\r\n  17   2   1 2760.42 815.519   5\r\n -17  -2   1 2064.13 1072.88   2\r\n  17  -2  -1 1571.41 619.884   7\r\n  17   2   1 2726.69 903.859   2\r\n  17  -2  -1 2152.59 1004.85   4\r\n  17   2   1 1949.91 1180.92   4\r\n -17   2  -1 1252.53 927.602   6\r\n -17   2  -2 2136.60 1496.96   3\r\n -17  -2   2 2040.47 1106.67   2\r\n  17  -2  -2 2348.50 751.235   7\r\n  17   2   2 2177.97 817.795   2\r\n  17   2   2 2519.66 1007.45   4\r\n -17   2  -2 1641.20 951.301   6\r\n  17  -2  -2 2231.81 876.730   4\r\n -17  -2   3 6639.47 1692.09   2\r\n -17   2  -3 5243.21 1828.89   3\r\n  17  -2  -3 6194.04 1238.91   5\r\n  17  -2  -3 6998.11 1392.45   7\r\n  17   2   3 5287.91 1538.27   4\r\n -17   2  -3 6163.11 1482.27   6\r\n  17  -2  -3 6856.97 1261.33   4\r\n -17  -2   4 4514.26 1416.99   2\r\n  17  -2  -4 1939.78 866.429   5\r\n -17   2  -4 1909.62 1565.58   3\r\n  17  -2  -4 3906.76 1293.81   7\r\n  17   2   4 3891.13 1297.30   4\r\n -17   2  -4 5592.15 1256.07   6\r\n -17  -2   5 486.120 1004.29   2\r\n  17  -2  -5 3212.40 972.349   5\r\n -17   2  -5 2992.65 1763.65   3\r\n  17  -2  -5 937.960 1231.68   7\r\n -17   2  -5 1436.70 823.002   6\r\n  17   2   5 2267.55 1271.88   4\r\n -17  -3  -5 976.976 1760.77   3\r\n  17   3  -5 6310.55 1598.44   7\r\n  17  -3   5 3566.71 1553.21   4\r\n -17   3   5 1628.96 950.768   6\r\n -17  -3  -4 55.2031 1224.20   3\r\n  17   3  -4-2086.78 1337.55   7\r\n  17  -3   4 259.142 1050.66   4\r\n -17   3   4-1004.82 931.871   6\r\n -17  -3  -3 303.661 1253.04   3\r\n  17   3  -3 695.684 849.035   7\r\n  17  -3   3 1496.17 1025.20   4\r\n -17  -3  -3 176.995 392.062   2\r\n -17   3   3 2728.79 964.630   6\r\n -17  -3  -3-5.42853 616.291   6\r\n  17  -3   2 11129.4 970.972   7\r\n -17  -3  -2 8972.38 1304.47   2\r\n -17   3   2 9006.81 1461.98   4\r\n  17   3  -2 11245.2 1836.62   7\r\n  17  -3   2 9957.29 1765.19   4\r\n -17   3   2 9550.12 1943.11   6\r\n  17   3  -2 10099.6 2100.58   4\r\n -17  -3  -1 7215.72 1298.62   2\r\n  17  -3   1 8792.75 652.699   7\r\n  17  -3   1 7737.33 601.932   7\r\n -17   3   1 9192.27 1394.01   4\r\n  17  -3   1 10675.2 1660.41   4\r\n -17   3   1 7744.49 1795.40   6\r\n  17   3  -1 9199.85 885.049   5\r\n  17   3  -1 8939.37 1811.62   4\r\n  17   3   0 5982.99 973.283   5\r\n -17  -3   0 7828.28 1464.31   2\r\n  17  -3   0 5764.99 636.963   7\r\n  17  -3   0 6324.36 1241.37   4\r\n -17   3   0 4758.12 1395.44   6\r\n  17   3   0 5731.93 1506.47   4\r\n  17   3   1 8433.28 1309.18   5\r\n -17  -3   1 7213.78 1668.66   2\r\n  17  -3  -1 8201.17 990.886   7\r\n  17  -3  -1 6778.10 1274.68   4\r\n -17   3  -1 9693.35 1900.77   6\r\n  17   3   1 7893.36 1654.38   4\r\n -17   3  -2 8534.16 2261.60   3\r\n -17  -3   2 9988.64 1902.93   2\r\n  17  -3  -2 11613.0 1471.04   4\r\n  17  -3  -2 11546.3 1456.77   7\r\n -17   3  -2 9269.88 1902.10   6\r\n  17   3   2 9653.03 1814.78   4\r\n -17  -3   3 302.131 661.475   2\r\n -17   3  -3 1418.81 1234.72   3\r\n  17  -3  -3 363.127 708.012   5\r\n  17  -3  -3-1338.86 870.637   7\r\n -17   3  -3 234.522 445.337   6\r\n  17   3   3-1554.79 1188.76   4\r\n  17  -3  -3 214.839 585.723   4\r\n -17  -3   4-657.328 988.237   2\r\n  17  -3  -4 2360.39 800.793   5\r\n -17   3  -4 1375.44 949.303   3\r\n  17  -3  -4 2594.97 905.402   7\r\n -17   3  -4-175.144 1034.39   6\r\n  17   3   4 567.468 975.052   4\r\n -17  -3   5 993.217 1006.97   2\r\n  17  -3  -5 2747.70 1049.84   5\r\n -17   3  -5 1585.19 1999.29   3\r\n  17  -3  -5 1747.86 989.690   7\r\n  17   3   5 1620.07 925.747   4\r\n -17  -4  -4 4798.66 1913.12   3\r\n  17   4  -4 2485.07 1227.83   7\r\n  17  -4   4 2784.85 1272.89   4\r\n -17   4   4 2661.41 1129.96   6\r\n -17  -4  -3 471.190 1234.82   3\r\n  17   4  -3 3026.50 910.173   7\r\n  17  -4   3-159.949 1118.01   4\r\n -17   4   3 74.6661 452.430   6\r\n -17  -4  -2 831.699 609.694   2\r\n -17   4   2 995.131 555.573   4\r\n  17   4  -2 539.992 782.802   7\r\n  17  -4   2 541.699 949.991   4\r\n -17   4   2 1040.71 1036.38   6\r\n -17   4   1 16361.3 1971.39   4\r\n  17  -4   1 16005.9 2033.75   4\r\n -17  -4  -1 17352.5 1987.84   2\r\n -17   4   1 15369.7 2338.40   6\r\n  17   4  -1 16283.9 2383.70   4\r\n  17   4   0 910.392 517.347   5\r\n -17  -4   0 2962.56 965.628   2\r\n  17  -4   0 1609.28 880.704   4\r\n -17   4   0 623.997 1233.35   6\r\n  17   4   0 3116.44 1434.71   4\r\n -17   4  -1 16698.1 2687.04   3\r\n  17  -4  -1 17675.9 1777.06   4\r\n -17  -4   1 21173.8 2537.36   2\r\n -17   4  -1 16787.4 2401.17   6\r\n  17   4   1 16694.3 2366.65   4\r\n  17   4   1 14685.3 1690.56   5\r\n -17   4  -2-402.742 1186.63   3\r\n -17  -4   2 995.847 725.616   2\r\n  17  -4  -2 142.022 304.933   7\r\n -17   4  -2 687.456 793.195   6\r\n  17  -4  -2 1658.81 583.842   4\r\n  17   4   2 1141.55 826.311   4\r\n  17  -4  -3-1387.94 654.906   5\r\n -17   4  -3-1467.54 1314.32   3\r\n -17  -4   3-821.923 819.493   2\r\n  17  -4  -3-365.593 622.912   7\r\n -17   4  -3-1347.02 865.038   6\r\n  17   4   3 316.117 698.574   4\r\n  17  -4  -4 1477.51 882.575   5\r\n -17  -4   4 2907.69 1438.73   2\r\n -17   4  -4 5110.46 1888.18   3\r\n  17  -4  -4 2750.21 851.929   7\r\n -17   4  -4 1858.56 1178.29   6\r\n  17   4   4 1718.42 1250.96   4\r\n -17  -5  -4-1891.43 1821.30   3\r\n  17   5  -4-1246.60 1097.09   7\r\n  17  -5   4-3090.18 1580.69   4\r\n -17   5   4-1570.24 1273.64   6\r\n -17  -5  -3 2245.18 1724.80   3\r\n  17  -5   3 3378.40 1363.77   4\r\n  17   5  -3 3749.75 1462.41   7\r\n -17   5   3 4602.17 1339.75   6\r\n -17  -5  -2 4275.58 994.182   2\r\n  17  -5   2 2573.13 1190.11   4\r\n  17   5  -2 4924.40 1427.84   7\r\n -17   5   2 4430.17 1404.80   6\r\n -17  -5  -1 3142.96 1061.11   2\r\n  17  -5   1 2177.37 1025.02   4\r\n -17   5   1 2994.60 1573.87   6\r\n  17   5  -1 3971.88 1502.41   4\r\n -17  -5   0 782.826 897.398   2\r\n  17  -5   0 66.2482 482.023   4\r\n -17   5   0 379.506 1100.37   6\r\n  17   5   0 1282.19 1258.64   4\r\n -17   5  -1 2597.23 1266.88   3\r\n -17  -5   1 3155.24 1215.61   2\r\n  17  -5  -1 3111.07 995.508   4\r\n -17   5  -1 2116.89 1328.63   6\r\n  17   5   1 3329.75 1344.37   4\r\n -17   5  -2 8458.41 1963.26   3\r\n -17  -5   2 6458.87 1802.97   2\r\n -17   5  -2 7199.19 1673.32   6\r\n  17  -5  -2 4873.01 997.325   4\r\n  17   5   2 4869.05 1432.75   4\r\n  17  -5  -3 2807.37 1230.31   5\r\n -17   5  -3 497.275 1556.20   3\r\n -17  -5   3 1991.57 1365.39   2\r\n -17   5  -3 3802.07 1447.29   6\r\n  17   5   3 3153.16 1507.02   4\r\n  17  -5  -4 82.6347 1280.45   5\r\n -17  -5   4-2307.88 1530.04   2\r\n -17   5  -4-2993.13 1638.38   3\r\n -17   5  -4 3301.47 1248.04   6\r\n  17   5   4 610.612 980.410   4\r\n -17  -6  -3 4003.05 1307.78   3\r\n  17  -6   3 1060.44 1051.87   4\r\n  17   6  -3 2027.14 1450.75   7\r\n -17   6   3 497.542 1281.54   6\r\n -17  -6  -2 1996.23 690.553   2\r\n  17  -6   2-105.671 697.255   4\r\n  17   6  -2 324.538 1082.90   7\r\n -17   6   2 1622.70 942.491   6\r\n -17  -6  -1 734.235 879.672   2\r\n  17  -6   1 2141.00 1058.18   4\r\n -17   6   1 101.060 1235.62   6\r\n -17   6   0 4606.71 1413.95   3\r\n -17  -6   0 4912.25 1597.58   2\r\n  17  -6   0 6954.97 1384.33   4\r\n -17   6   0 3792.77 1364.59   6\r\n  17   6   0 4163.72 1978.24   4\r\n -17   6  -1 1683.79 1337.73   3\r\n -17  -6   1 435.231 1247.00   2\r\n  17  -6  -1 280.215 732.875   4\r\n -17   6  -1-325.351 1245.15   6\r\n  17   6   1 1243.42 1317.73   4\r\n -17   6  -2 1270.27 1302.52   3\r\n -17  -6   2 1828.94 838.517   2\r\n -17   6  -2 2649.60 1454.08   6\r\n  17   6   2 750.665 1084.00   4\r\n  17  -6  -3 483.613 1007.07   5\r\n -17   6  -3 1992.72 1287.14   3\r\n -17  -6   3 2419.21 1286.15   2\r\n -17   6  -3 1973.39 1283.17   6\r\n  17   6   3 784.342 1017.83   4\r\n -17  -7  -1 74.0415 1399.06   2\r\n  17  -7   1-58.6548 998.899   4\r\n -17   7   1-1393.63 738.324   6\r\n -17  -7   0 1294.62 639.344   2\r\n  17  -7   0 909.272 659.825   4\r\n -17  -7   1 3205.15 1161.25   2\r\n -17   7  -1 919.671 1039.90   6\r\n  17   7   1 445.306 1192.91   4\r\n  18   0   0 93737.4 4506.03   4\r\n -18   0   0 90164.8 4338.14   2\r\n  18   0  -1 3991.94 968.489   7\r\n -18   0  -1 5518.54 1192.25   2\r\n  18   0   1 5324.24 1296.25   4\r\n  18   0  -1 4016.63 1237.68   4\r\n -18   0  -1 4568.07 1252.92   6\r\n -18   0   1 4395.99 1224.08   2\r\n  18   0   2 1241.80 746.719   2\r\n  18   0  -2 1004.34 701.152   7\r\n  18   0   2-184.407 1024.18   4\r\n -18   0  -2 2526.93 960.957   6\r\n  18   0  -2 1532.34 867.395   4\r\n -18   0   2 1575.85 1092.30   2\r\n -18   0  -3 61.8643 1405.61   3\r\n  18   0  -3 940.990 556.068   5\r\n  18   0   3-127.176 787.538   2\r\n  18   0  -3 1331.61 918.254   7\r\n  18   0   3 742.471 900.629   4\r\n -18   0  -3 782.043 792.383   6\r\n -18   0   3 2450.87 1009.11   2\r\n  18   0  -3-302.121 621.184   4\r\n  18   0  -4 772.113 578.328   5\r\n -18   0  -4-376.994 1926.62   3\r\n  18   0  -4-70.6537 1034.44   7\r\n  18   0   4-13.3624 1116.29   4\r\n -18   0  -4 367.269 536.217   6\r\n -18   0   4-199.278 783.274   2\r\n -18   0  -5 600.157 1164.94   3\r\n  18   0  -5-1003.49 1243.89   7\r\n  18   0   5 145.004 931.838   4\r\n -18   0   5 3268.43 1060.73   2\r\n -18  -1  -5 1174.27 1744.83   3\r\n  18   1  -5 3963.77 1276.90   7\r\n  18  -1   5 171.509 1267.14   4\r\n -18   1   5 1227.92 989.752   2\r\n  18   1  -4 4353.02 840.310   5\r\n -18  -1  -4 1928.80 1771.91   3\r\n  18   1  -4 4671.37 1301.74   7\r\n  18  -1   4 4339.51 1439.12   4\r\n -18  -1  -4 4310.28 995.446   6\r\n -18   1   4 2314.35 1215.45   2\r\n  18  -1   3 6399.26 1289.95   2\r\n -18  -1  -3 5040.51 1804.49   3\r\n  18   1  -3 5752.90 939.531   5\r\n  18  -1   3 3505.64 989.322   7\r\n  18   1  -3 5152.81 1498.95   7\r\n  18  -1   3 7052.55 1522.71   4\r\n -18  -1  -3 5918.01 1318.33   6\r\n -18   1   3 3754.28 1232.14   2\r\n  18   1  -3 6185.73 1670.77   4\r\n -18  -1  -2 991.725 657.497   2\r\n  18   1  -2 1087.90 817.570   7\r\n  18  -1   2 2239.20 922.838   4\r\n -18   1   2 1738.20 1065.81   2\r\n -18  -1  -2 892.413 814.022   6\r\n  18   1  -2 1344.45 933.657   4\r\n  18  -1   1 12105.8 1788.13   4\r\n  18   1  -1 15963.2 2067.32   4\r\n -18  -1  -1 13791.6 1736.21   2\r\n  18   1  -1 12070.7 1713.42   7\r\n -18   1   1 13341.8 1964.52   2\r\n -18   1   1 13033.6 2161.66   6\r\n  18  -1   0 12222.5 1769.24   4\r\n  18  -1   0 13396.0 1432.62   7\r\n -18  -1   0 13713.4 1868.03   2\r\n -18   1   0 13420.6 1889.37   2\r\n  18   1   0 12183.5 1859.95   4\r\n -18   1   0 12697.5 2032.14   6\r\n  18  -1  -1 13368.6 1820.15   4\r\n  18  -1  -1 12470.9 1446.83   7\r\n  18   1   1 11553.4 1787.64   4\r\n -18   1  -1 15076.6 2275.09   6\r\n -18  -1   1 12114.6 1920.38   2\r\n  18   1   2 877.946 626.466   2\r\n  18  -1  -2 1641.71 810.201   7\r\n  18   1   2 801.181 937.154   4\r\n -18   1  -2 1600.36 830.469   6\r\n  18  -1  -2 2119.72 904.321   4\r\n -18  -1   2 2140.20 914.963   2\r\n -18   1  -3 5713.39 1911.64   3\r\n  18  -1  -3 5549.70 1104.44   5\r\n  18  -1  -3 6079.72 1296.49   7\r\n  18   1   3 4706.02 1386.10   4\r\n -18   1  -3 6207.63 1416.36   6\r\n  18  -1  -3 3851.83 1146.26   4\r\n -18  -1   3 6666.54 1691.98   2\r\n  18  -1  -4 4087.83 1011.74   5\r\n -18   1  -4 4235.01 1959.10   3\r\n  18  -1  -4 2069.61 1065.56   7\r\n  18   1   4 3637.53 1348.61   4\r\n -18   1  -4 2638.58 1048.47   6\r\n -18  -1   4 3680.20 1269.97   2\r\n  18  -1  -5-114.493 979.315   5\r\n -18   1  -5 2069.46 1941.43   3\r\n  18  -1  -5 857.196 1199.58   7\r\n  18   1   5 756.099 862.276   4\r\n -18  -1   5 738.199 801.104   2\r\n -18  -2  -5-570.578 1381.10   3\r\n  18   2  -5-2164.73 1180.06   7\r\n  18  -2   5-745.267 1535.74   4\r\n -18   2   5-9.75830 389.694   2\r\n -18   2   5-2187.26 1240.09   6\r\n -18  -2  -4 800.111 1572.82   3\r\n  18   2  -4-1140.61 480.613   7\r\n  18  -2   4-374.881 1113.76   4\r\n -18   2   4-412.928 634.751   2\r\n -18   2   4 442.797 1009.83   6\r\n -18  -2  -3 11143.5 2489.60   3\r\n  18   2  -3 7943.45 1554.12   7\r\n -18   2   3 6721.64 1179.92   4\r\n  18  -2   3 11230.0 1877.80   4\r\n -18  -2  -3 11304.2 1613.56   6\r\n -18   2   3 9069.19 1650.59   2\r\n -18   2   3 10744.9 1916.15   6\r\n  18   2  -3 9058.35 938.243   5\r\n  18   2  -2 4300.48 638.721   5\r\n  18   2  -2 3617.19 1177.20   7\r\n  18  -2   2 2020.98 931.345   4\r\n -18   2   2 3645.12 1260.39   2\r\n -18  -2  -2 2081.21 730.358   2\r\n -18   2   2 2887.36 1249.75   6\r\n  18   2  -2 2820.02 1317.18   4\r\n  18   2  -1 324.690 864.074   7\r\n  18  -2   1 1355.44 793.305   4\r\n -18   2   1 2236.91 1104.18   6\r\n  18   2  -1 1232.10 1102.70   4\r\n -18  -2  -1-246.759 830.521   2\r\n  18  -2   0 8948.82 998.718   7\r\n  18  -2   0 9234.24 1448.65   4\r\n -18   2   0 8010.27 1730.56   6\r\n  18   2   0 8609.41 1706.69   4\r\n -18  -2   0 11297.4 1754.94   2\r\n  18   2   0 7626.91 1185.61   5\r\n  18   2   1 242.480 522.139   5\r\n -18  -2   1 1144.70 954.342   2\r\n  18  -2  -1 240.806 569.358   7\r\n  18  -2  -1 802.489 716.413   4\r\n  18   2   1-18.2880 1069.41   4\r\n -18   2  -1 218.769 880.061   6\r\n -18  -2   2 3019.48 1219.97   2\r\n -18   2  -2 2539.52 1388.28   3\r\n  18  -2  -2 3228.53 980.577   7\r\n  18   2   2 3027.38 1042.13   2\r\n  18   2   2 2840.87 1207.68   4\r\n -18   2  -2 4154.55 1288.71   6\r\n  18  -2  -2 3419.47 1029.79   4\r\n -18  -2   3 10640.7 2061.39   2\r\n -18   2  -3 7935.34 2315.57   3\r\n  18  -2  -3 10577.8 1612.82   5\r\n  18  -2  -3 13758.7 1776.72   4\r\n  18  -2  -3 9013.14 1576.86   7\r\n  18   2   3 11081.9 2042.02   4\r\n -18   2  -3 11079.0 1901.71   6\r\n -18  -2   4 381.249 701.500   2\r\n  18  -2  -4-659.863 829.385   5\r\n -18   2  -4-2898.67 1943.22   3\r\n  18  -2  -4-1522.43 957.837   7\r\n  18   2   4-1405.44 1121.39   4\r\n -18   2  -4-1197.83 864.973   6\r\n -18  -2   5 1051.61 750.537   2\r\n  18  -2  -5 1971.46 822.101   5\r\n  18  -2  -5 906.085 1119.47   7\r\n -18   2  -5-705.826 450.792   6\r\n  18   2   5-893.995 1292.11   4\r\n -18  -3  -5 4376.11 1526.44   3\r\n  18   3  -5 311.350 650.210   7\r\n  18  -3   5 3102.23 1454.52   4\r\n -18   3   5 3841.99 1259.71   6\r\n -18  -3  -4 2712.47 1480.95   3\r\n  18   3  -4 4254.30 1337.45   7\r\n  18  -3   4 3444.98 1473.43   4\r\n -18   3   4 2891.08 1217.43   6\r\n -18  -3  -3 1549.65 1257.71   3\r\n -18  -3  -3 1048.27 498.732   2\r\n  18   3  -3 1553.25 850.915   7\r\n  18  -3   3 515.972 941.054   4\r\n -18   3   3 75.7600 930.279   6\r\n -18  -3  -3 1924.10 733.920   6\r\n -18   3   2 3958.47 1151.87   4\r\n  18   3  -2 5406.07 1420.64   7\r\n  18  -3   2 6184.78 1390.77   4\r\n -18   3   2 6471.97 1637.33   6\r\n -18  -3  -2 6869.60 1146.52   2\r\n  18   3  -2 5360.70 1560.55   4\r\n  18  -3   1 14315.6 2004.33   4\r\n  18  -3   1 12483.6 821.494   7\r\n  18  -3   1 13507.8 839.737   7\r\n  18   3  -1 13555.8 1927.03   7\r\n -18  -3  -1 11668.0 1709.44   2\r\n -18   3   1 10344.0 2101.46   6\r\n  18   3  -1 12336.4 2188.78   4\r\n  18   3   0 5069.96 920.755   5\r\n -18  -3   0 3149.14 1065.14   2\r\n  18  -3   0 3016.11 516.872   7\r\n  18  -3   0 3244.35 1075.34   4\r\n -18   3   0 2932.36 1142.03   6\r\n  18   3   0 3782.05 1290.40   4\r\n -18  -3   1 11674.0 1948.43   2\r\n  18  -3  -1 13687.4 1710.64   4\r\n  18  -3  -1 12229.6 1214.74   7\r\n -18   3  -1 13401.0 2172.19   6\r\n  18   3   1 11493.1 2030.85   4\r\n  18   3   1 13882.6 1741.93   5\r\n -18   3  -2 5189.04 1611.24   3\r\n -18  -3   2 7771.31 1739.26   2\r\n  18  -3  -2 4239.15 1058.09   7\r\n -18   3  -2 5236.37 1381.83   6\r\n  18   3   2 6657.73 1482.16   4\r\n  18  -3  -2 5581.47 1159.98   4\r\n -18  -3   3 199.151 1359.47   2\r\n -18   3  -3 851.043 1404.48   3\r\n  18  -3  -3 950.012 812.404   5\r\n  18  -3  -3 2814.40 1026.28   7\r\n -18   3  -3 1585.57 897.978   6\r\n  18   3   3 1824.04 1234.44   4\r\n  18  -3  -3 1048.14 746.485   4\r\n -18  -3   4 2714.27 1022.21   2\r\n  18  -3  -4 3181.93 1240.35   5\r\n -18   3  -4 2377.46 2037.35   3\r\n  18  -3  -4 1937.15 982.896   7\r\n -18   3  -4 2632.29 1261.00   6\r\n  18   3   4 1953.47 991.184   4\r\n -18  -3   5-1877.74 1456.53   2\r\n  18  -3  -5 1288.82 1099.31   5\r\n -18   3  -5 1107.42 1579.15   3\r\n  18  -3  -5 661.743 879.750   7\r\n -18   3  -5-978.674 783.553   6\r\n  18   3   5 913.815 1314.04   4\r\n  18   4  -4 1510.56 1001.75   7\r\n  18  -4   4-53.8327 1160.10   4\r\n -18   4   4 349.940 1018.48   6\r\n -18  -4  -3 1703.41 1302.10   3\r\n  18   4  -3 503.820 684.611   7\r\n  18  -4   3-297.455 904.119   4\r\n -18   4   3-389.868 932.313   6\r\n  18   4  -2 3707.84 1150.75   7\r\n  18  -4   2 2271.81 1141.30   4\r\n -18   4   2 3661.23 1277.10   6\r\n -18  -4  -2 2763.93 804.828   2\r\n -18  -4  -1 2327.47 940.933   2\r\n  18  -4   1 2552.48 1108.40   4\r\n -18   4   1 2842.67 1242.14   6\r\n  18   4  -1 1326.66 1375.53   4\r\n -18  -4   0 13605.8 2056.14   2\r\n  18  -4   0 12810.0 1757.24   4\r\n -18   4   0 13114.8 2271.36   6\r\n  18   4   0 14289.4 2320.38   4\r\n -18   4  -1 2656.91 1524.62   3\r\n -18  -4   1 2349.75 1179.14   2\r\n  18  -4  -1 2352.29 954.393   4\r\n -18   4  -1 2541.51 1305.11   6\r\n  18   4   1 2951.21 1364.49   4\r\n -18   4  -2 330.523 1070.28   3\r\n -18  -4   2 1083.08 1108.07   2\r\n  18  -4  -2 1863.97 614.250   7\r\n -18   4  -2 1266.99 1052.36   6\r\n  18  -4  -2 2626.64 801.768   4\r\n  18   4   2 3874.30 1315.56   4\r\n -18  -4   3 109.959 984.554   2\r\n -18   4  -3 2146.24 1226.68   3\r\n  18  -4  -3-418.837 671.627   5\r\n  18  -4  -3 140.359 427.999   7\r\n -18   4  -3 585.937 762.694   6\r\n  18   4   3-397.482 1212.99   4\r\n  18  -4  -4-18.9074 830.772   5\r\n -18  -4   4 301.368 1129.17   2\r\n -18   4  -4-1313.02 1360.24   3\r\n  18  -4  -4 3617.19 904.770   7\r\n -18   4  -4 454.999 729.541   6\r\n  18   4   4 220.093 936.852   4\r\n -18  -5  -3 1675.88 1534.88   3\r\n  18   5  -3-38.6585 1465.19   7\r\n  18  -5   3 1295.87 1052.91   4\r\n -18   5   3 868.559 1334.14   6\r\n -18  -5  -2 7962.66 1330.69   2\r\n  18   5  -2 6803.35 1827.31   7\r\n  18  -5   2 7297.42 1739.30   4\r\n -18   5   2 9543.92 2121.34   6\r\n -18  -5  -1 1561.72 793.719   2\r\n  18  -5   1 2226.16 1041.55   4\r\n -18   5   1 1508.78 1064.05   6\r\n  18   5  -1 1008.11 1463.72   4\r\n -18  -5   0 1521.90 1030.58   2\r\n  18  -5   0 2589.98 1051.93   4\r\n -18   5   0 2547.92 1022.84   6\r\n  18   5   0 3565.05 1446.49   4\r\n -18   5  -1 963.204 1186.79   3\r\n -18  -5   1 2802.14 1327.16   2\r\n  18  -5  -1 3764.20 968.458   4\r\n -18   5  -1 1201.07 1118.28   6\r\n  18   5   1 2977.16 1479.50   4\r\n -18   5  -2 6520.56 2000.80   3\r\n -18  -5   2 6515.43 1873.63   2\r\n -18   5  -2 13100.8 2396.07   6\r\n  18   5   2 11761.2 2168.99   4\r\n  18  -5  -3 2476.50 1140.05   5\r\n -18   5  -3 1578.66 1678.90   3\r\n -18  -5   3 1664.10 1012.98   2\r\n -18   5  -3 863.119 805.283   6\r\n  18   5   3 2132.53 1282.69   4\r\n -18  -6  -3 4267.72 1841.72   3\r\n  18  -6   3 3771.49 1469.08   4\r\n  18   6  -3 3881.18 1372.77   7\r\n -18   6   3 1503.36 1542.70   6\r\n  18  -6   2 316.019 1013.70   4\r\n  18   6  -2-43.1176 1109.43   7\r\n -18   6   2 311.522 951.215   6\r\n -18  -6  -1 1624.50 982.460   2\r\n  18  -6   1 3593.16 1230.67   4\r\n -18   6   1 827.199 1061.38   6\r\n -18   6   0 2645.25 1094.86   3\r\n -18  -6   0 1396.46 950.497   2\r\n  18  -6   0 256.539 530.031   4\r\n -18   6   0-1867.99 1202.85   6\r\n  18   6   0-565.468 1511.40   4\r\n -18   6  -1 1045.29 1264.22   3\r\n -18  -6   1 959.488 1464.89   2\r\n -18   6  -1 5410.44 1462.13   6\r\n  18   6   1 4436.68 1458.02   4\r\n -18   6  -2 198.670 999.496   3\r\n -18  -6   2-2052.83 1627.27   2\r\n -18   6  -2-917.164 1083.75   6\r\n  18   6   2 1438.34 1397.54   4\r\n  18  -6  -3 2973.57 1317.45   5\r\n -18  -6   3 3665.43 1403.37   2\r\n -18   6  -3 2436.17 1414.41   6\r\n  18   6   3 1792.43 1422.90   4\r\n -18  -7  -1-823.726 879.057   2\r\n  18  -7   1-930.346 1264.72   4\r\n  18   7  -1 1548.75 1165.51   7\r\n -18   7   1 1545.94 788.547   6\r\n -18  -7   0-15.3980 854.667   2\r\n -18   7   0 471.072 947.023   6\r\n -18  -7   1-51.9625 1133.79   2\r\n -18   7  -1-3310.67 1435.61   6\r\n  18   7   1-1819.06 1655.86   4\r\n  19   0   0 483.358 844.078   4\r\n -19   0   0 1125.32 1075.85   2\r\n  19   0  -1 822.933 688.301   7\r\n -19   0  -1 905.340 834.777   2\r\n  19   0   1 817.225 973.376   4\r\n  19   0  -1 1074.29 767.381   4\r\n -19   0   1 2675.91 1175.64   2\r\n -19   0  -1 1577.71 944.657   6\r\n  19   0  -2 9092.97 1527.92   7\r\n  19   0   2 10418.5 1844.12   4\r\n -19   0  -2 10788.1 1776.93   6\r\n -19   0   2 7948.58 1774.37   2\r\n  19   0  -2 11000.8 1804.57   4\r\n -19   0  -3 6466.21 2368.75   3\r\n  19   0  -3 8677.66 1310.87   5\r\n  19   0  -3 7112.27 1493.21   7\r\n  19   0   3 8345.56 1752.53   4\r\n -19   0  -3 7611.20 1648.59   6\r\n -19   0   3 9164.98 1704.74   2\r\n  19   0  -3 10079.1 1809.22   4\r\n  19   0  -4 3889.22 1010.41   5\r\n -19   0  -4 4242.00 2180.59   3\r\n  19   0  -4 5324.11 1466.84   7\r\n  19   0   4 4080.39 1499.49   4\r\n -19   0  -4 3972.78 1056.84   6\r\n -19   0   4 7714.96 1810.72   2\r\n -19   0  -5-2670.39 2165.77   3\r\n  19   0  -5 2450.38 1004.19   7\r\n  19   0   5-365.819 1067.42   4\r\n -19   0   5-2601.53 976.346   2\r\n -19  -1  -5 2741.22 1423.50   3\r\n  19   1  -5 1274.70 1198.63   7\r\n -19   1   5 218.340 649.776   2\r\n -19  -1  -4 3239.45 2104.89   3\r\n  19   1  -4 2529.39 965.450   7\r\n  19  -1   4 2147.40 1337.73   4\r\n -19  -1  -4 1727.72 705.716   6\r\n -19   1   4 1015.04 1021.32   2\r\n -19  -1  -3 2128.98 1488.45   3\r\n  19   1  -3 1363.62 541.579   5\r\n  19   1  -3 813.507 1106.55   7\r\n  19  -1   3 1392.29 977.795   4\r\n -19  -1  -3 1977.69 879.049   6\r\n -19   1   3 1122.07 881.096   2\r\n  19   1  -3 491.946 1072.63   4\r\n  19   1  -2 8417.92 1558.65   7\r\n  19  -1   2 11160.5 1817.67   4\r\n -19   1   2 9619.43 1811.88   2\r\n -19  -1  -2 8812.90 1606.10   6\r\n  19   1  -2 11038.8 1914.02   4\r\n  19  -1   1 33401.7 2941.32   4\r\n -19   1   1 33841.5 2957.08   2\r\n  19   1  -1 34298.6 3058.64   4\r\n -19  -1  -1 34224.2 2653.62   2\r\n  19   1  -1 30089.4 2652.50   7\r\n -19   1   1 34499.7 3418.68   6\r\n  19  -1   0 26759.1 2596.92   4\r\n -19   1   0 25164.9 2515.59   2\r\n  19   1   0 23588.2 2605.10   4\r\n -19  -1   0 27772.5 2600.05   2\r\n  19  -1   0 25377.1 2011.39   7\r\n -19   1   0 27557.6 2992.92   6\r\n  19   1   1 27425.6 2727.95   4\r\n  19  -1  -1 32323.8 2734.93   4\r\n  19  -1  -1 30906.7 2243.36   7\r\n -19  -1   1 34543.4 3104.31   2\r\n -19   1  -1 31301.3 3127.65   6\r\n  19   1   2 8356.14 1519.84   2\r\n  19  -1  -2 9754.27 1492.88   7\r\n  19   1   2 10883.3 1839.04   4\r\n -19   1  -2 10349.9 1837.97   6\r\n  19  -1  -2 8986.31 1512.70   4\r\n -19  -1   2 10373.0 1877.92   2\r\n -19   1  -3 4829.03 1508.72   3\r\n  19  -1  -3 362.667 738.874   5\r\n  19  -1  -3 1793.79 753.879   7\r\n  19   1   3 2265.22 1265.52   4\r\n -19   1  -3 2251.31 937.676   6\r\n  19  -1  -3 1670.52 698.362   4\r\n -19  -1   3 1159.51 1050.55   2\r\n  19  -1  -4 1847.48 912.450   5\r\n -19   1  -4 3717.26 1830.25   3\r\n  19  -1  -4 2880.12 1147.56   7\r\n  19   1   4 2147.76 1439.67   4\r\n -19   1  -4 2779.44 980.379   6\r\n -19  -1   4 1534.96 1344.63   2\r\n  19  -1  -5-1183.15 933.894   5\r\n -19   1  -5-1565.75 1591.25   3\r\n  19  -1  -5-1387.27 783.995   7\r\n  19   1   5 362.039 1140.17   4\r\n -19  -1   5 33.7984 822.382   2\r\n -19  -2  -5 747.349 1715.77   3\r\n  19   2  -5 2446.59 969.470   7\r\n  19  -2   5 2482.86 1488.81   4\r\n -19   2   5 954.543 799.664   2\r\n -19   2   5 1694.33 1102.33   6\r\n -19  -2  -4 1888.49 2100.04   3\r\n  19   2  -4 1273.32 839.213   7\r\n  19  -2   4 2708.61 1241.27   4\r\n -19   2   4 3891.63 1109.09   2\r\n -19   2   4 1742.18 1069.13   6\r\n -19  -2  -3 6735.88 1882.95   3\r\n  19   2  -3 2688.10 1174.90   7\r\n  19  -2   3 2932.75 1336.02   4\r\n -19   2   3 3740.71 1212.58   2\r\n -19  -2  -3 4818.51 1163.44   6\r\n -19   2   3 3375.21 1233.60   6\r\n  19  -2   2 14241.9 2132.32   4\r\n -19  -2  -2 12874.2 1544.01   2\r\n  19   2  -2 12764.3 1867.36   7\r\n -19   2   2 13050.0 2196.34   2\r\n -19   2   2 13345.9 2316.03   6\r\n  19   2  -2 13231.9 2163.47   4\r\n  19  -2   1 7287.39 961.003   7\r\n  19   2  -1 8171.84 1558.59   7\r\n  19  -2   1 8161.32 1576.54   4\r\n -19   2   1 8036.98 1766.37   6\r\n  19   2  -1 7445.42 1103.91   5\r\n -19  -2  -1 7702.69 1374.65   2\r\n  19   2  -1 5896.04 1572.43   4\r\n  19   2   0 9292.41 1351.37   5\r\n  19  -2   0 12448.4 1732.84   4\r\n  19  -2   0 10843.3 1130.64   7\r\n -19   2   0 9813.42 1842.12   6\r\n  19   2   0 11040.0 1880.36   4\r\n -19  -2   0 9583.14 1671.79   2\r\n -19  -2   1 7598.81 1640.87   2\r\n  19  -2  -1 6640.20 1141.04   7\r\n  19  -2  -1 6255.13 1331.22   4\r\n  19   2   1 8048.63 1604.90   4\r\n -19   2  -1 7855.77 1669.84   6\r\n -19  -2   2 9479.01 1896.43   2\r\n -19   2  -2 13035.7 2654.33   3\r\n  19  -2  -2 12416.9 1743.60   4\r\n  19  -2  -2 10236.2 1532.92   7\r\n  19   2   2 9963.42 1659.16   2\r\n  19   2   2 11337.6 2079.67   4\r\n -19   2  -2 13482.4 2178.61   6\r\n -19  -2   3 5625.50 1650.81   2\r\n -19   2  -3 4321.35 1751.03   3\r\n  19  -2  -3 5115.67 1214.29   5\r\n  19  -2  -3 4374.65 1073.43   7\r\n  19   2   3 5662.06 1635.61   4\r\n -19   2  -3 2419.59 1243.69   6\r\n  19  -2  -3 5423.15 1266.16   4\r\n -19  -2   4 3061.74 1122.58   2\r\n  19  -2  -4 1720.09 957.528   5\r\n -19   2  -4 4098.08 1416.96   3\r\n  19  -2  -4 5476.30 1342.63   7\r\n  19   2   4 4003.57 1533.17   4\r\n -19   2  -4 1542.80 1029.49   6\r\n -19  -2   5 2003.22 1073.82   2\r\n  19  -2  -5 1322.70 775.780   5\r\n -19   2  -5 3993.26 2098.95   3\r\n  19  -2  -5-346.715 876.846   7\r\n  19   2   5-1317.38 1430.20   4\r\n  19   3  -4 376.298 788.340   7\r\n  19  -3   4 927.915 965.695   4\r\n -19   3   4 1545.55 813.714   6\r\n -19  -3  -3 552.069 1431.97   3\r\n  19   3  -3 1497.76 928.657   7\r\n  19  -3   3 3580.46 1055.18   4\r\n -19   3   3 916.352 997.516   6\r\n -19  -3  -3 2063.88 724.746   6\r\n  19   3  -2 389.831 905.762   7\r\n  19  -3   2 525.665 770.600   4\r\n -19   3   2 2098.28 1354.17   6\r\n -19  -3  -2 680.469 600.300   2\r\n  19   3  -2-335.901 1259.46   4\r\n  19  -3   1 8172.53 707.273   7\r\n  19   3  -1 5017.98 1362.41   7\r\n  19  -3   1 9557.45 1684.59   4\r\n -19   3   1 10001.7 2093.40   6\r\n  19   3  -1 7424.99 1818.34   4\r\n -19  -3  -1 6869.64 1398.62   2\r\n -19  -3   0 5977.34 1539.35   2\r\n  19  -3   0 6601.80 742.239   7\r\n  19  -3   0 5742.06 1391.09   4\r\n -19   3   0 7841.80 1694.18   6\r\n  19   3   0 7456.53 1622.01   4\r\n  19   3   1 6984.26 1324.90   5\r\n -19  -3   1 8171.83 1679.38   2\r\n  19  -3  -1 6202.57 914.235   7\r\n  19  -3  -1 6731.80 1314.72   4\r\n -19   3  -1 6213.96 1632.52   6\r\n  19   3   1 8792.96 1831.90   4\r\n -19  -3   2 31.9600 679.092   2\r\n -19   3  -2-463.202 1044.98   3\r\n  19  -3  -2 1754.81 601.740   7\r\n -19   3  -2 2674.58 900.685   6\r\n  19   3   2-127.285 1103.57   4\r\n  19  -3  -2 83.5712 738.173   4\r\n -19  -3   3 832.635 642.193   2\r\n -19   3  -3 656.174 1353.83   3\r\n  19  -3  -3 499.522 750.263   5\r\n  19  -3  -3 133.457 615.245   7\r\n -19   3  -3 1191.35 1028.64   6\r\n  19   3   3 1416.73 1235.37   4\r\n  19  -3  -3 1577.19 719.402   4\r\n -19  -3   4 1544.69 934.434   2\r\n  19  -3  -4-835.956 707.327   5\r\n -19   3  -4-1055.90 1522.46   3\r\n  19  -3  -4-148.181 306.681   7\r\n -19   3  -4-343.365 848.622   6\r\n  19   3   4 212.455 1059.71   4\r\n -19  -4  -4 534.427 1728.08   3\r\n  19   4  -4 4441.48 1717.42   7\r\n  19  -4   4 2281.19 1586.78   4\r\n -19   4   4 2089.82 1426.86   6\r\n -19  -4  -3 4384.29 2157.56   3\r\n  19   4  -3 6080.58 1500.71   7\r\n  19  -4   3 5950.41 1772.53   4\r\n -19   4   3 8807.79 1846.78   6\r\n  19   4  -2 2981.18 1137.10   7\r\n  19  -4   2 1667.80 929.897   4\r\n -19   4   2 2260.56 996.024   6\r\n -19  -4  -2 1537.76 745.558   2\r\n -19  -4  -1 1060.88 817.620   2\r\n  19  -4   1 2475.89 829.033   4\r\n -19   4   1 871.007 909.298   6\r\n  19   4  -1 339.306 1158.28   4\r\n -19  -4   0 775.995 761.595   2\r\n  19  -4   0 174.704 837.658   4\r\n -19   4   0 557.160 848.200   6\r\n  19   4   0-348.251 1344.94   4\r\n -19   4  -1 945.427 963.050   3\r\n -19  -4   1 3152.85 1020.88   2\r\n  19  -4  -1 1231.07 858.117   4\r\n -19   4  -1 1128.21 999.857   6\r\n  19   4   1 676.380 1229.94   4\r\n -19   4  -2 38.1906 877.399   3\r\n -19  -4   2 2218.90 1169.78   2\r\n -19   4  -2 3674.15 1253.24   6\r\n  19  -4  -2 1816.09 702.004   4\r\n  19   4   2 3589.05 1351.40   4\r\n -19  -4   3 4037.28 1394.59   2\r\n -19   4  -3 6351.73 2198.43   3\r\n  19  -4  -3 4287.65 1394.74   5\r\n -19   4  -3 3443.59 1561.87   6\r\n  19   4   3 5819.23 1622.18   4\r\n -19  -4   4 1816.85 1431.82   2\r\n  19  -4  -4 3811.98 1091.47   5\r\n -19   4  -4 2121.81 1447.78   3\r\n -19   4  -4 1882.63 1269.83   6\r\n  19   4   4 3242.24 1550.55   4\r\n  19   5  -3 3027.02 1134.20   7\r\n  19  -5   3 250.079 838.100   4\r\n -19   5   3 591.689 991.174   6\r\n -19  -5  -2 1832.78 835.741   2\r\n  19   5  -2 3973.08 1430.35   7\r\n  19  -5   2 4194.47 1338.99   4\r\n -19   5   2 4980.56 1468.16   6\r\n -19  -5  -1 3323.18 1157.26   2\r\n  19  -5   1 2626.10 1144.41   4\r\n -19   5   1 5935.13 1894.11   6\r\n  19   5  -1 1742.55 1252.99   4\r\n -19  -5   0 6950.94 1691.14   2\r\n  19  -5   0 6057.69 1422.56   4\r\n  19   5   0 4190.30 1735.23   4\r\n -19   5  -1 3249.25 1538.47   3\r\n -19  -5   1 4788.74 1639.80   2\r\n  19  -5  -1 3644.61 1011.81   4\r\n -19   5  -1 3541.71 1400.58   6\r\n  19   5   1 2099.55 1449.26   4\r\n -19   5  -2 3233.98 1755.93   3\r\n -19  -5   2 4301.38 1637.49   2\r\n -19   5  -2 5096.52 1569.08   6\r\n  19   5   2 6144.90 1585.29   4\r\n  19  -5  -3 1609.97 907.149   5\r\n -19  -5   3 2135.56 1285.58   2\r\n -19   5  -3-1227.51 1583.54   3\r\n -19   5  -3 457.410 822.872   6\r\n  19   5   3 782.432 893.022   4\r\n  19  -6   2-1656.01 1307.71   4\r\n -19   6   2-614.471 1170.02   6\r\n -19  -6  -1-2264.82 1000.04   2\r\n  19  -6   1 454.962 498.667   4\r\n -19   6   1-2978.44 1529.59   6\r\n -19   6   0 1031.22 1016.83   3\r\n -19  -6   0 865.988 697.789   2\r\n  19  -6   0 2634.44 1051.08   4\r\n -19   6   0 2899.42 1364.14   6\r\n  19   6   0-470.128 1353.99   4\r\n -19  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6\r\n -20   0   3 204.437 1017.46   2\r\n  20   0  -3 868.026 851.378   4\r\n  20   0  -4 3286.90 1055.73   5\r\n -20   0  -4 4907.27 2378.56   3\r\n  20   0  -4 4618.99 1556.10   7\r\n  20   0   4 3813.34 1342.40   4\r\n -20   0  -4 3297.29 1036.69   6\r\n -20   0   4 3196.75 1186.12   2\r\n -20   0  -5 2675.58 1899.28   3\r\n  20   0  -5 1796.81 1039.91   7\r\n  20   0   5 3442.12 1556.45   4\r\n -20   0   5 930.357 931.968   2\r\n -20  -1  -4 4058.72 2236.16   3\r\n  20   1  -4 3374.30 1224.85   7\r\n  20  -1   4 4221.01 1488.76   4\r\n -20   1   4 3595.58 1127.04   2\r\n -20  -1  -3 9669.39 2467.07   3\r\n  20   1  -3 8352.96 1887.90   7\r\n  20  -1   3 8762.25 1898.68   4\r\n -20  -1  -3 7724.26 1605.22   6\r\n -20   1   3 10205.4 1845.10   2\r\n  20   1  -3 9077.41 1162.76   5\r\n  20   1  -3 11526.2 2269.56   4\r\n  20   1  -2 2628.97 967.735   7\r\n  20  -1   2 4480.76 1401.29   4\r\n -20   1   2 4452.15 1234.15   2\r\n -20  -1  -2 4235.88 1305.39   6\r\n  20   1  -2 4539.26 1432.38   4\r\n  20   1  -1 6640.67 1472.24   7\r\n  20  -1   1 5614.08 1366.71   4\r\n -20   1   1 5086.59 1434.31   2\r\n -20  -1  -1 5234.73 1179.22   2\r\n -20   1   1 4423.65 1531.03   6\r\n  20   1  -1 5458.80 1401.93   4\r\n -20   1   0 542.571 724.403   2\r\n  20  -1   0-227.461 677.711   7\r\n  20  -1   0 238.551 559.118   4\r\n  20   1   0 555.282 683.307   4\r\n -20   1   0 1455.30 973.530   6\r\n -20  -1   0-99.8334 1120.99   2\r\n  20  -1  -1 4766.83 1094.30   7\r\n  20   1   1 6107.23 1363.82   4\r\n  20  -1  -1 5615.83 1349.62   4\r\n -20   1  -1 4641.73 1464.12   6\r\n -20  -1   1 5484.38 1391.78   2\r\n  20  -1  -2 3851.37 928.562   7\r\n  20   1   2 6380.96 1601.18   4\r\n -20   1  -2 2728.24 935.504   6\r\n  20  -1  -2 4673.13 1164.59   4\r\n -20  -1   2 4671.32 1342.18   2\r\n -20   1  -3 11937.9 2636.32   3\r\n  20  -1  -3 7737.25 1371.09   5\r\n  20  -1  -3 10215.6 1762.25   7\r\n  20   1   3 8453.16 1836.45   4\r\n -20   1  -3 9308.28 1797.26   6\r\n  20  -1  -3 11839.2 1901.15   4\r\n -20  -1   3 8302.27 1822.69   2\r\n  20  -1  -4 2686.86 939.306   5\r\n -20   1  -4 1519.23 1834.92   3\r\n  20  -1  -4 4378.00 1359.99   7\r\n  20   1   4 3916.41 1438.27   4\r\n -20   1  -4 3317.89 948.825   6\r\n -20  -1   4 2613.44 1153.35   2\r\n -20  -2  -4-1085.12 1603.83   3\r\n  20   2  -4 1226.51 924.683   7\r\n  20  -2   4 384.624 853.353   4\r\n -20   2   4 207.225 357.423   2\r\n -20   2   4 29.8232 211.511   6\r\n -20  -2  -3 2740.91 1388.08   3\r\n  20   2  -3 1364.19 914.276   7\r\n  20  -2   3 1065.74 825.701   4\r\n -20   2   3 1337.85 857.613   2\r\n -20  -2  -3 892.342 607.100   6\r\n -20   2   3-16.7143 681.024   6\r\n  20   2  -2 1959.81 916.380   7\r\n  20  -2   2 234.484 1068.15   4\r\n -20   2   2-242.803 769.006   2\r\n -20  -2  -2 132.222 660.194   2\r\n -20   2   2 31.2923 870.958   6\r\n -20  -2  -2-199.037 976.798   6\r\n  20   2  -2-235.228 1161.97   4\r\n  20  -2   1 11854.0 1784.38   4\r\n  20  -2   1 12426.6 1241.70   7\r\n  20  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4\r\n  20  -2  -4-144.767 888.642   5\r\n -20   2  -4 1543.47 1309.03   3\r\n  20  -2  -4-848.827 819.100   7\r\n -20   2  -4-956.220 871.253   6\r\n  20   2   4 1135.55 1031.07   4\r\n -20  -3  -4 1723.16 1826.39   3\r\n  20   3  -4 2207.97 1100.70   7\r\n  20  -3   4 2299.81 1338.39   4\r\n -20   3   4 2021.11 1350.03   6\r\n -20  -3  -3 194.900 1128.01   3\r\n  20   3  -3 926.348 1014.56   7\r\n  20  -3   3 154.373 1173.23   4\r\n -20   3   3 1026.19 909.676   6\r\n -20  -3  -3-1454.22 860.065   6\r\n  20   3  -2 6410.92 1617.66   7\r\n  20  -3   2 6847.03 1646.51   4\r\n -20   3   2 7179.34 1872.63   6\r\n -20  -3  -2 6406.86 1207.77   2\r\n  20   3  -2 9411.94 2125.45   4\r\n  20   3  -1 1162.21 747.885   7\r\n  20  -3   1 83.0750 861.020   4\r\n -20   3   1-1014.83 1115.61   6\r\n  20   3  -1 947.637 968.291   4\r\n -20  -3  -1 2902.07 857.253   2\r\n -20  -3   0-117.546 647.561   2\r\n  20  -3   0-581.661 326.807   7\r\n  20  -3   0 694.033 826.309   4\r\n -20   3   0-1464.60 937.707   6\r\n  20   3   0 31.9881 821.355   4\r\n -20  -3   1 556.238 858.018   2\r\n  20  -3  -1 1100.67 413.959   7\r\n  20  -3  -1 511.995 601.905   4\r\n -20   3  -1 2418.91 1038.90   6\r\n  20   3   1 1525.46 1030.81   4\r\n -20  -3   2 5084.81 1428.76   2\r\n -20   3  -2 3859.69 2023.31   3\r\n  20  -3  -2 6461.33 1144.25   7\r\n -20   3  -2 7677.86 1731.24   6\r\n  20   3   2 6198.10 1720.29   4\r\n  20  -3  -2 7138.81 1373.81   4\r\n -20  -3   3 794.689 825.152   2\r\n -20   3  -3 921.293 1083.47   3\r\n  20  -3  -3 1706.97 859.401   5\r\n  20  -3  -3 760.387 710.640   7\r\n -20   3  -3 356.481 906.521   6\r\n  20   3   3 1414.45 1312.71   4\r\n  20  -3  -3 43.6168 893.366   4\r\n -20  -3   4 4593.70 1675.38   2\r\n  20  -3  -4 3629.40 1054.54   5\r\n -20   3  -4 3801.15 1551.87   3\r\n  20  -3  -4 3001.03 1021.07   7\r\n -20   3  -4-412.224 1114.16   6\r\n  20   3   4 2101.22 1280.15   4\r\n -20  -4  -3 888.875 1374.90   3\r\n  20   4  -3 682.089 992.558   7\r\n  20  -4   3 1365.46 1064.34   4\r\n -20   4   3 276.625 949.058   6\r\n  20   4  -2 627.385 834.323   7\r\n  20  -4   2 169.793 932.051   4\r\n -20   4   2 635.266 913.397   6\r\n -20  -4  -2 776.327 571.631   2\r\n -20  -4  -1 1484.04 900.340   2\r\n  20   4  -1 2599.58 1094.18   7\r\n  20  -4   1 2554.78 1172.04   4\r\n -20   4   1 1546.53 1220.18   6\r\n  20   4  -1 997.312 1008.84   4\r\n -20  -4   0 2610.76 1037.89   2\r\n  20  -4   0 1040.27 924.984   4\r\n -20   4   0 2767.21 1440.82   6\r\n  20   4   0 2211.98 1393.80   4\r\n -20   4  -1 3295.48 1457.59   3\r\n -20  -4   1 2991.08 1083.71   2\r\n  20  -4  -1 1732.23 884.829   4\r\n -20   4  -1 1582.48 1100.10   6\r\n  20   4   1 1511.97 929.775   4\r\n -20  -4   2 332.514 703.063   2\r\n -20   4  -2-1334.89 1436.76   3\r\n -20   4  -2 1015.73 1283.80   6\r\n  20  -4  -2 1141.35 666.052   4\r\n -20  -4   3 464.691 1234.86   2\r\n -20   4  -3 4309.31 1750.94   3\r\n  20  -4  -3 918.899 907.264   5\r\n -20   4  -3 2737.62 1408.85   6\r\n  20  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3\r\n -20   5  -3-1300.40 775.410   6\r\n  20   5   3 293.504 1420.68   4\r\n -20  -6  -1-1098.51 831.114   2\r\n  20   6  -1-667.016 850.204   7\r\n  20  -6   1-634.511 1276.38   4\r\n -20   6   1-393.255 407.580   6\r\n -20   6   0 1843.85 1271.19   3\r\n -20  -6   0 4365.56 1144.16   2\r\n  20  -6   0 3345.06 993.731   4\r\n -20   6   0 2163.11 1210.10   6\r\n  20   6   0 2170.93 1596.25   4\r\n -20   6  -1-1524.99 1479.57   3\r\n -20  -6   1 345.408 418.245   2\r\n -20   6  -1-1068.27 1141.60   6\r\n  21   0   0 130.329 290.316   7\r\n -21   0   0 253.374 433.013   2\r\n  21   0   0-1392.68 918.182   4\r\n -21   0   0 14.4226 739.082   6\r\n -21   0  -1 855.973 768.694   2\r\n  21   0  -1 1370.97 804.580   7\r\n  21   0   1 2072.55 1018.78   4\r\n -21   0   1 1364.99 1037.56   2\r\n  21   0  -1 1743.47 1117.35   4\r\n -21   0  -1 1283.25 738.295   6\r\n  21   0  -2 30.0389 478.399   7\r\n  21   0   2 740.992 987.344   4\r\n -21   0  -2 383.260 672.055   6\r\n -21   0   2-57.3919 1099.43   2\r\n  21   0  -2-171.483 948.651   4\r\n -21   0  -3 5183.70 2100.34   3\r\n  21   0  -3 5775.54 1109.35   5\r\n  21   0  -3 7393.63 1706.41   7\r\n  21   0   3 7786.77 1840.13   4\r\n -21   0  -3 5487.90 1469.65   6\r\n -21   0   3 6268.45 1783.16   2\r\n  21   0  -3 6374.05 1596.18   4\r\n -21   0  -4 2749.16 2345.42   3\r\n  21   0  -4 1540.85 1127.81   7\r\n  21   0   4 1815.38 1459.51   4\r\n -21   0  -4 2140.99 897.595   6\r\n -21   0   4 1722.32 1078.85   2\r\n -21  -1  -4-652.558 2498.31   3\r\n  21   1  -4 456.820 753.256   7\r\n  21  -1   4-73.2636 708.975   4\r\n -21   1   4-2051.06 1311.62   2\r\n  21   1  -3 1250.62 936.492   7\r\n  21  -1   3 1351.61 1051.32   4\r\n -21   1   3-1812.75 1058.13   2\r\n -21  -1  -3-628.529 783.388   6\r\n  21   1  -3-315.588 1160.71   4\r\n  21   1  -2 930.699 762.487   7\r\n  21  -1   2 1251.64 1096.69   4\r\n -21   1   2 429.782 605.720   2\r\n -21  -1  -2 1066.10 923.457   6\r\n -21   1   2 2278.90 953.040   6\r\n  21   1  -2 1546.20 1081.44   4\r\n  21   1  -1 3662.88 1085.86   7\r\n  21  -1   1 2589.33 1200.47   4\r\n -21   1   1 2692.25 1087.39   2\r\n -21  -1  -1 680.966 815.620   2\r\n -21   1   1 2199.24 1165.21   6\r\n -21  -1  -1 2529.95 1053.67   6\r\n  21   1  -1 1968.12 1027.18   4\r\n -21   1   0 420.834 682.712   2\r\n  21  -1   0 485.113 544.765   7\r\n  21  -1   0 922.474 744.749   4\r\n  21   1   0-447.531 614.971   4\r\n -21   1   0 1397.51 695.992   6\r\n -21  -1   0 627.543 694.132   2\r\n  21  -1  -1 1938.36 840.242   7\r\n  21   1   1 3950.23 1284.43   4\r\n  21  -1  -1 1771.99 946.956   4\r\n -21   1  -1 1624.18 1063.07   6\r\n -21  -1   1 2998.13 1173.79   2\r\n  21  -1  -2 2570.67 734.711   7\r\n  21   1   2 894.826 958.114   4\r\n -21   1  -2-131.638 779.246   6\r\n  21  -1  -2-11.2252 906.177   4\r\n -21  -1   2 922.551 890.683   2\r\n -21   1  -3 332.823 1352.10   3\r\n  21  -1  -3 288.277 709.100   5\r\n  21  -1  -3 1540.88 669.272   7\r\n  21   1   3-279.433 1303.04   4\r\n -21  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4\r\n -21   2   1 485.003 1486.15   6\r\n -21  -2  -1 1485.03 863.648   2\r\n  21   2  -1 2109.47 1427.82   4\r\n  21  -2   0 1897.16 651.990   7\r\n  21  -2   0 877.954 799.387   4\r\n -21   2   0 1913.15 1135.00   6\r\n  21   2   0 1421.78 898.145   4\r\n -21  -2   0 511.227 862.551   2\r\n  21  -2  -1 2247.19 631.234   7\r\n  21  -2  -1 2395.36 975.446   4\r\n -21   2  -1 3051.14 1093.91   6\r\n  21   2   1 2117.84 1119.85   4\r\n -21  -2   1 2622.33 1238.82   2\r\n -21   2  -2 2921.07 1867.31   3\r\n  21  -2  -2 5807.19 1222.65   7\r\n  21   2   2 7303.00 1777.29   4\r\n -21   2  -2 5639.27 1472.64   6\r\n  21  -2  -2 4803.71 1198.01   4\r\n -21  -2   2 3615.91 1289.07   2\r\n -21  -2   3-572.266 1336.11   2\r\n -21   2  -3 136.254 1246.65   3\r\n  21  -2  -3 322.490 647.273   5\r\n  21  -2  -3-547.729 896.898   7\r\n  21   2   3-254.790 826.682   4\r\n -21   2  -3 2188.07 1152.08   6\r\n  21  -2  -3 70.9329 897.681   4\r\n -21  -2   4 827.300 1089.69   2\r\n  21  -2  -4 3316.83 946.047   5\r\n -21   2  -4 43.7140 1987.47   3\r\n  21  -2  -4 4816.89 1149.08   7\r\n -21   2  -4-736.576 981.580   6\r\n  21   2   4-58.0793 1365.87   4\r\n -21  -3  -3 2238.51 1801.46   3\r\n  21   3  -3 2742.41 1229.51   7\r\n  21  -3   3 1935.18 1209.19   4\r\n -21   3   3 4392.44 1282.33   6\r\n -21  -3  -3 2463.79 899.555   6\r\n  21   3  -2 447.155 843.970   7\r\n  21  -3   2-1486.83 1129.08   4\r\n -21  -3  -2 1794.69 789.856   2\r\n -21   3   2-827.997 1461.47   6\r\n  21   3  -2-2033.81 1125.46   4\r\n  21   3  -1 4704.88 1248.63   7\r\n  21  -3   1 5530.62 1430.69   4\r\n -21   3   1 7258.19 1703.83   6\r\n  21   3  -1 7459.61 2070.98   4\r\n -21  -3  -1 5607.43 1368.99   2\r\n  21  -3   0 3280.93 1163.15   4\r\n -21   3   0 5053.81 1487.80   6\r\n  21   3   0 3221.99 1368.47   4\r\n -21  -3   0 4073.32 1296.35   2\r\n -21  -3   1 6590.67 1626.94   2\r\n  21  -3  -1 5763.02 1318.22   4\r\n -21   3  -1 4884.15 1538.29   6\r\n  21   3   1 4867.57 1636.24   4\r\n -21  -3   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1277.68   4\r\n -22   0  -4 282.461 2578.49   3\r\n  22   0  -4 607.381 1030.62   7\r\n  22   0   4 1084.20 1528.79   4\r\n -22   0   4 6129.57 1461.54   2\r\n  22   1  -4 1214.42 1059.36   7\r\n  22  -1   4 3385.08 1248.39   4\r\n -22   1   4 686.554 786.000   2\r\n -22  -1  -3-206.552 1490.55   3\r\n  22   1  -3 893.319 1165.18   7\r\n  22  -1   3 1916.85 1248.19   4\r\n -22   1   3 1557.08 738.697   2\r\n -22  -1  -3 839.797 917.010   6\r\n  22   1  -3 1230.00 987.944   4\r\n  22   1  -2 2621.13 970.359   7\r\n  22  -1   2 286.492 1066.97   4\r\n -22   1   2 1800.27 891.889   2\r\n -22  -1  -2 2794.38 1328.01   6\r\n -22   1   2 104.156 760.771   6\r\n  22   1  -2 948.208 1154.67   4\r\n  22   1  -1-1159.26 850.229   7\r\n -22   1   1-573.261 649.011   2\r\n  22  -1   1 1257.09 905.340   4\r\n -22  -1  -1 152.416 602.590   2\r\n -22   1   1-1129.45 1005.02   6\r\n -22  -1  -1 944.950 990.483   6\r\n  22   1  -1 1099.30 1057.96   4\r\n  22  -1   0 1180.84 686.416   7\r\n  22  -1   0 722.517 726.651   4\r\n -22  -1   0 1263.92 1064.99   2\r\n  22   1   0 541.536 970.455   4\r\n -22   1   0-233.394 801.803   6\r\n  22  -1  -1-45.3401 489.979   7\r\n  22   1   1 642.773 1158.96   4\r\n -22   1  -1-988.853 783.865   6\r\n  22  -1  -1-58.3877 919.723   4\r\n -22  -1   1 440.509 928.389   2\r\n  22  -1  -2 78.5611 680.548   7\r\n  22   1   2 4012.53 1299.60   4\r\n -22   1  -2 1121.22 1053.21   6\r\n  22  -1  -2 2781.29 1008.29   4\r\n -22  -1   2 2251.91 1182.03   2\r\n -22   1  -2 2173.82 1342.94   3\r\n -22   1  -3-1576.40 1547.77   3\r\n  22  -1  -3 2876.70 761.935   5\r\n  22  -1  -3 1126.64 831.692   7\r\n  22   1   3 2017.99 1252.04   4\r\n -22   1  -3 1459.71 1012.67   6\r\n -22  -1   3 1389.22 1037.74   2\r\n  22  -1  -3 1763.71 1054.09   4\r\n  22  -1  -4 1186.41 520.346   5\r\n -22   1  -4 1359.01 1307.85   3\r\n  22  -1  -4 138.658 632.168   7\r\n  22   1   4 3007.55 1046.74   4\r\n -22   1  -4 2889.46 991.449   6\r\n -22  -1   4 950.189 688.253   2\r\n -22  -2  -3-623.840 1630.86   3\r\n  22   2  -3-257.561 937.851   7\r\n  22  -2   3 70.7048 1165.86   4\r\n -22   2   3 1259.30 1145.70   2\r\n -22  -2  -3 1714.31 938.087   6\r\n -22   2   3 2139.03 990.505   6\r\n -22   2   2-1759.56 1371.72   2\r\n  22   2  -2-339.898 1028.07   7\r\n  22  -2   2-607.388 946.988   4\r\n -22  -2  -2 317.641 740.614   2\r\n -22   2   2 1799.56 902.143   6\r\n -22  -2  -2-1374.45 918.119   6\r\n  22   2  -2 1230.26 1029.09   4\r\n  22  -2   1 1545.17 510.298   7\r\n  22   2  -1 871.797 955.475   7\r\n  22  -2   1 1004.03 858.876   4\r\n -22  -2  -1 306.554 720.214   2\r\n -22   2   1 1346.31 1141.12   6\r\n  22   2  -1 1376.24 989.511   4\r\n  22  -2   0 863.875 477.924   7\r\n  22  -2   0 583.242 855.695   4\r\n -22   2   0-1422.84 1121.09   6\r\n  22   2   0 1506.49 1112.68   4\r\n -22  -2   0 831.662 861.376   2\r\n  22  -2  -1 1538.51 651.703   7\r\n  22  -2  -1 984.233 743.828   4\r\n -22   2  -1 1142.56 634.589   6\r\n  22   2   1 2150.12 1207.13   4\r\n -22  -2   1 957.110 829.483   2\r\n -22   2  -2 477.086 1396.49   3\r\n  22  -2  -2 39.0130 624.961   7\r\n -22   2  -2-77.6586 673.010   6\r\n  22   2   2-9.67614 1113.45   4\r\n  22  -2  -2 118.859 505.868   4\r\n -22  -2   2 548.975 901.145   2\r\n -22   2  -3-1196.93 1338.44   3\r\n  22  -2  -3 26.1283 622.751   5\r\n  22  -2  -3-477.761 739.116   7\r\n -22   2  -3 492.706 1126.34   6\r\n  22   2   3 1974.30 1204.63   4\r\n  22  -2  -3 1981.20 1046.23   4\r\n -22  -2   3 1214.98 1166.64   2\r\n -22  -3  -3 2295.32 1568.93   3\r\n  22   3  -3 2922.04 1010.70   7\r\n  22  -3   3 2071.79 1011.75   4\r\n -22   3   3 4303.19 1452.65   6\r\n  22   3  -2 700.095 765.704   7\r\n  22  -3   2 168.719 983.484   4\r\n -22  -3  -2-154.238 809.907   2\r\n -22   3   2-29.8201 1185.47   6\r\n  22   3  -2-60.0408 849.290   4\r\n  22   3  -1 29.3460 900.859   7\r\n  22  -3   1-122.579 729.972   4\r\n -22   3   1-1656.16 1169.61   6\r\n -22  -3  -1 432.679 781.457   2\r\n  22   3  -1 532.919 1008.57   4\r\n  22  -3   0-409.342 783.093   4\r\n -22   3   0 839.050 539.311   6\r\n  22   3   0-1622.20 1175.33   4\r\n -22  -3   0-1097.49 814.990   2\r\n -22  -3   1 704.611 1118.72   2\r\n  22  -3  -1-2392.53 1141.36   4\r\n -22   3  -1-1267.97 993.984   6\r\n  22   3   1-1429.32 1142.02   4\r\n -22  -3   2 203.323 1076.63   2\r\n -22   3  -2 746.722 897.770   3\r\n -22   3  -2 356.841 491.946   6\r\n  22   3   2 1634.10 1111.67   4\r\n  22  -3  -2 837.557 626.909   4\r\n -22  -3   3 213.016 952.758   2\r\n -22   3  -3 2685.78 1424.70   3\r\n  22  -3  -3 3563.62 948.814   5\r\n -22   3  -3 2021.50 1110.37   6\r\n  22   3   3 777.601 1068.02   4\r\n  22   4  -2 38.0330 994.747   7\r\n  22  -4   2-522.700 1357.78   4\r\n -22   4   2-37.6055 930.936   6\r\n  22   4  -2 1040.43 1067.17   4\r\n  22   4  -1 258.699 873.154   7\r\n  22  -4   1-77.6776 1059.52   4\r\n -22   4   1 594.944 675.404   6\r\n  22   4  -1 147.600 978.052   4\r\n -22  -4  -1-2088.53 1042.84   2\r\n -22  -4   0-1631.94 1146.28   2\r\n  22  -4   0 166.930 395.498   4\r\n -22   4   0 384.145 744.909   6\r\n  22   4   0 716.968 1013.00   4\r\n -22  -4   1-753.505 842.955   2\r\n -22   4  -1-415.507 1474.30   3\r\n  22  -4  -1 617.643 908.610   4\r\n -22   4  -1 790.507 1215.81   6\r\n  22   4   1 2217.10 1261.04   4\r\n -22  -4   2 3579.90 1133.38   2\r\n -22   4  -2 1711.93 1403.70   3\r\n -22   4  -2 1320.06 1135.18   6\r\n  22   4   2 1321.67 1301.53   4\r\n -22  -5  -1-1321.37 936.405   2\r\n  22   5  -1 2999.75 1147.35   7\r\n  22  -5   1 956.586 956.618   4\r\n -22   5   1 2537.56 1279.03   6\r\n  22   5  -1-159.388 1251.50   4\r\n -22  -5   0-1311.09 976.562   2\r\n  22  -5   0-1912.41 1168.61   4\r\n -22   5   0-1088.43 998.953   6\r\n  22   5   0-1962.79 1496.57   4\r\n -22   5  -1-1282.29 906.915   3\r\n -22  -5   1-628.650 770.108   2\r\n -22   5  -1 1936.23 786.808   6\r\n  22   5   1 2117.82 1255.69   4\r\n  23   0   0 425.628 668.496   7\r\n -23   0   0 464.535 622.669   2\r\n  23   0   0 405.996 682.953   4\r\n -23   0   0 696.522 854.444   6\r\n  23   0  -1 897.154 656.772   7\r\n  23   0   1 931.073 1193.91   4\r\n -23   0   1 911.066 1026.87   2\r\n -23   0  -1 769.139 812.498   6\r\n  23   0  -1 678.257 948.326   4\r\n  23   0  -2-1479.60 882.470   7\r\n  23   0   2-1398.49 1404.01   4\r\n -23   0  -2-1263.77 977.046   6\r\n -23   0   2-149.771 1145.09   2\r\n  23   0  -2-125.118 657.758   4\r\n -23   0  -3 4632.54 2077.94   3\r\n  23   0  -3 4654.40 1312.52   7\r\n  23   0   3 4661.16 1617.60   4\r\n -23   0  -3 2331.99 1255.67   6\r\n -23   0   3 1446.80 1390.19   2\r\n  23   0  -3 6713.01 1550.35   4\r\n -23  -1  -3 1186.64 1574.45   3\r\n  23   1  -3 1075.52 1157.11   7\r\n  23  -1   3 308.502 1001.35   4\r\n -23   1   3-813.225 1110.35   2\r\n -23  -1  -3 2046.77 806.119   6\r\n -23   1   3 1811.18 952.998   6\r\n  23   1  -3 889.175 1009.30   4\r\n  23   1  -2-273.033 870.401   7\r\n  23  -1   2-38.4892 688.577   4\r\n -23   1   2 472.334 556.285   2\r\n -23  -1  -2 209.735 903.108   6\r\n -23   1   2 159.175 1324.62   6\r\n  23   1  -2 347.387 1245.19   4\r\n  23   1  -1 3675.54 1203.56   7\r\n  23  -1   1 4031.22 990.649   7\r\n -23   1   1 3075.96 1345.92   2\r\n -23  -1  -1 3809.50 1217.29   2\r\n  23  -1   1 2607.10 1388.33   4\r\n -23   1   1 1443.00 1238.80   6\r\n -23  -1  -1 2938.29 1175.00   6\r\n  23   1  -1 3173.08 1335.03   4\r\n  23  -1   0 530.072 535.556   7\r\n  23   1   0-24.3133 468.166   7\r\n  23  -1   0 153.639 706.666   4\r\n -23  -1   0 303.710 618.912   2\r\n  23   1   0-297.228 1032.46   4\r\n -23   1   0-176.498 1098.97   6\r\n  23  -1  -1 3734.95 1099.00   7\r\n  23   1   1 3447.95 1347.00   4\r\n -23   1  -1 3865.57 1316.42   6\r\n  23  -1  -1 3527.48 1329.77   4\r\n -23  -1   1 4974.10 1481.16   2\r\n  23  -1  -2-634.787 706.925   7\r\n  23   1   2 893.336 1181.32   4\r\n -23   1  -2-2318.42 1289.18   6\r\n  23  -1  -2-558.095 782.167   4\r\n -23  -1   2-194.940 970.577   2\r\n -23   1  -2 958.104 1014.81   3\r\n -23   1  -3 1883.84 1736.61   3\r\n  23  -1  -3-1528.46 626.378   5\r\n  23  -1  -3 859.339 892.333   7\r\n  23   1   3 2332.91 1384.70   4\r\n -23   1  -3 3133.89 1227.52   6\r\n -23  -1   3 1750.43 1036.42   2\r\n  23  -1  -3 102.828 876.811   4\r\n -23  -2  -3 1813.37 1447.83   3\r\n  23   2  -3 578.602 1026.03   7\r\n  23  -2   3 1720.26 1057.25   4\r\n -23   2   3-314.810 672.943   2\r\n -23  -2  -3 251.684 294.281   6\r\n -23   2   3-1564.69 1142.04   6\r\n  23   2  -2 2392.17 1187.21   7\r\n  23  -2   2 3284.04 1292.36   4\r\n -23  -2  -2 3469.12 1136.66   2\r\n -23   2   2 4215.67 1844.38   6\r\n -23  -2  -2 3686.68 1190.49   6\r\n  23   2  -2 727.627 989.043   4\r\n  23   2  -1-47.0158 887.936   7\r\n  23  -2   1 2141.60 768.279   4\r\n -23  -2  -1 234.533 718.049   2\r\n -23   2   1 241.013 1031.58   6\r\n  23   2  -1-119.165 718.348   4\r\n  23  -2   0-29.4875 1032.23   4\r\n -23   2   0 594.775 1215.33   6\r\n  23   2   0-308.487 1298.70   4\r\n -23  -2   0 1754.90 1111.46   2\r\n  23  -2  -1 1490.39 493.736   7\r\n  23  -2  -1 1040.87 773.615   4\r\n  23   2   1 1427.10 948.855   4\r\n -23  -2   1 712.988 467.513   2\r\n -23   2  -2 3147.59 1781.05   3\r\n  23  -2  -2 5326.38 1095.99   7\r\n -23   2  -2 2303.12 1384.98   6\r\n  23   2   2 3181.00 1480.77   4\r\n  23  -2  -2 1749.48 1053.50   4\r\n -23  -2   2 4001.05 1391.84   2\r\n -23   2  -3 58.8408 1439.59   3\r\n  23  -2  -3 135.985 775.340   5\r\n  23  -2  -3 834.769 616.802   7\r\n -23   2  -3 759.294 547.249   6\r\n  23   2   3-348.225 1294.61   4\r\n  23  -2  -3-230.265 1098.14   4\r\n -23  -2   3 1525.51 736.901   2\r\n  23   3  -2 252.006 1316.40   7\r\n  23  -3   2 2350.41 1203.70   4\r\n -23   3   2 4333.82 1541.46   6\r\n  23   3  -2 4131.38 1310.89   4\r\n  23   3  -1 2459.56 1124.77   7\r\n  23  -3   1 3734.55 1181.81   4\r\n -23   3   1 1613.94 1421.88   6\r\n -23  -3  -1 2102.71 1223.95   2\r\n  23   3  -1 3056.98 1535.11   4\r\n  23  -3   0 2992.66 1204.11   4\r\n -23   3   0 2541.76 1086.86   6\r\n  23   3   0-416.516 1253.05   4\r\n -23  -3   0 1437.38 1073.23   2\r\n -23   3  -1 2945.06 1385.25   6\r\n  23  -3  -1 3215.77 1226.23   4\r\n  23   3   1 3343.68 1636.47   4\r\n -23  -3   1 6565.21 1452.40   2\r\n -23  -3   2 3078.15 1572.79   2\r\n -23   3  -2 2912.95 1784.36   3\r\n -23   3  -2 752.808 1100.04   6\r\n  23   3   2 2179.33 1316.00   4\r\n  23  -3  -2 2101.13 1031.39   4\r\n  23   4  -2 1264.65 833.778   7\r\n  23  -4   2 1860.84 828.187   4\r\n -23   4   2 780.041 642.617   6\r\n  23   4  -2 1032.39 1204.94   4\r\n  23   4  -1 363.626 977.114   7\r\n  23  -4   1 2818.76 1082.95   4\r\n -23   4   1 2305.66 1184.86   6\r\n -23  -4  -1-24.4480 308.686   2\r\n  23   4  -1 1750.30 1236.77   4\r\n -23  -4   0-97.3684 669.813   2\r\n  23  -4   0-605.785 828.281   4\r\n -23   4   0-930.190 1175.01   6\r\n  23   4   0-1552.62 1215.54   4\r\n -23  -4   1 956.525 731.592   2\r\n -23   4  -1-504.867 1914.93   3\r\n -23   4  -1 497.978 517.060   6\r\n  23  -4  -1 269.008 449.280   4\r\n  23   4   1 1173.18 1253.67   4\r\n -23  -4   2-1455.04 1169.54   2\r\n -23   4  -2-2039.16 1346.01   3\r\n -23   4  -2 721.653 539.593   6\r\n  23   4   2 721.205 1424.55   4\r\n  24   0   0 810.752 785.540   7\r\n -24   0   0-1892.05 1240.84   2\r\n  24   0   0 482.207 1013.67   4\r\n -24   0   0 1801.88 1042.34   6\r\n  24   0  -1 10025.9 1587.39   7\r\n  24   0   1 9820.84 1926.40   4\r\n -24   0   1 10757.8 1973.62   2\r\n -24   0  -1 7747.19 1928.57   6\r\n  24   0  -1 10825.0 2041.07   4\r\n -24   0   1 9524.86 2092.87   6\r\n  24   0  -2 3783.49 1283.16   7\r\n  24   0   2 2479.70 1231.23   4\r\n -24   0   2 5042.92 1679.47   2\r\n -24   0  -2 6242.84 1785.29   6\r\n  24   0  -2 7104.41 1673.04   4\r\n -24   0  -3-763.250 1754.22   3\r\n  24   0  -3 4903.85 1453.55   7\r\n  24   0   3 3957.84 1635.54   4\r\n -24   0  -3 2024.29 1268.57   6\r\n -24   0   3 4685.51 1727.36   2\r\n  24   0  -3 3808.25 1263.55   4\r\n -24  -1  -3 2534.23 1362.64   3\r\n  24   1  -3-221.769 769.418   7\r\n  24  -1   3 1024.92 1086.90   4\r\n -24   1   3-740.488 900.402   2\r\n -24  -1  -3-3059.28 1333.37   6\r\n -24   1   3-48.0706 389.432   6\r\n  24   1  -3 2218.98 1433.62   4\r\n  24   1  -2 3218.56 1124.13   7\r\n  24  -1   2 1941.22 1211.15   4\r\n -24   1   2 674.626 1190.44   2\r\n -24  -1  -2 4409.98 1442.87   6\r\n -24   1   2 4380.93 1665.37   6\r\n  24   1  -2 1841.77 1211.51   4\r\n  24   1  -1 2411.23 796.212   7\r\n  24  -1   1 420.034 401.430   7\r\n -24   1   1 1076.48 843.699   2\r\n -24  -1  -1-921.312 1020.40   2\r\n  24  -1   1 1239.51 1103.51   4\r\n -24   1   1 4004.32 1297.42   6\r\n -24  -1  -1-2218.76 1104.17   6\r\n  24   1  -1-649.983 660.710   4\r\n  24  -1   0 143.651 562.683   7\r\n  24   1   0 97.3935 624.166   7\r\n  24  -1   0 1208.67 1039.96   4\r\n -24  -1   0 994.036 830.939   2\r\n  24   1   0 300.627 1068.24   4\r\n -24   1   0-1584.74 1326.78   6\r\n  24  -1  -1-789.659 686.736   7\r\n  24   1   1-621.843 1381.20   4\r\n -24   1  -1 323.960 554.817   6\r\n  24  -1  -1 119.391 960.915   4\r\n -24  -1   1 547.740 861.594   2\r\n  24  -1  -2 3498.85 1041.31   7\r\n  24   1   2 1420.29 1442.75   4\r\n -24   1  -2 1605.76 1063.30   6\r\n -24  -1   2 1103.80 1428.68   2\r\n  24  -1  -2 2651.51 1189.56   4\r\n -24   1  -2 4712.65 1694.07   3\r\n -24   1  -3 2486.09 1360.48   3\r\n  24  -1  -3 1254.49 594.330   5\r\n  24  -1  -3 1943.84 1220.00   7\r\n  24   1   3 787.183 1207.72   4\r\n -24   1  -3 413.055 1118.85   6\r\n -24  -1   3-1016.73 1151.56   2\r\n  24  -1  -3 1363.87 946.010   4\r\n -24  -2  -2-405.646 706.333   2\r\n  24   2  -2-617.820 821.112   7\r\n  24  -2   2-30.5892 896.156   4\r\n -24   2   2 792.625 678.279   6\r\n -24  -2  -2-241.088 688.263   6\r\n  24   2  -2 1622.07 992.318   4\r\n  24   2  -1 1897.11 1086.53   7\r\n  24  -2   1 3230.25 1293.02   4\r\n -24  -2  -1 4197.11 1088.24   2\r\n -24   2   1 1991.55 1381.02   6\r\n  24   2  -1 3498.52 1484.32   4\r\n  24  -2   0 3972.83 1534.15   4\r\n -24   2   0 5573.96 1735.88   6\r\n -24  -2   0 2531.87 1415.33   2\r\n  24   2   0 4700.95 1399.70   4\r\n -24   2  -1 6228.82 1659.60   6\r\n  24  -2  -1 1976.03 1077.68   4\r\n  24   2   1 2971.31 1415.88   4\r\n -24  -2   1 3902.05 1155.23   2\r\n -24   2  -2-4103.76 2082.39   3\r\n -24   2  -2-522.118 964.959   6\r\n  24   2   2-2235.43 1614.87   4\r\n  24  -2  -2-2278.40 1071.72   4\r\n -24  -2   2-1373.10 1151.66   2\r\n  24   3  -2 4.79142 1130.36   7\r\n  24  -3   2 1253.55 922.446   4\r\n -24   3   2 1300.72 1280.23   6\r\n -24  -3  -2-246.851 660.819   6\r\n  24   3  -2 2874.35 1341.96   4\r\n  24   3  -1-220.260 1115.23   7\r\n  24  -3   1-434.601 861.131   4\r\n -24   3   1-479.427 1228.81   6\r\n -24  -3  -1 3352.81 1090.61   2\r\n  24   3  -1 925.242 1155.36   4\r\n  24  -3   0-456.330 647.929   4\r\n -24   3   0 575.027 863.447   6\r\n  24   3   0-1942.85 1242.76   4\r\n -24  -3   0-1929.02 1212.58   2\r\n -24   3  -1 2564.12 1247.69   6\r\n  24  -3  -1 870.191 762.466   4\r\n  24   3   1-190.573 1147.35   4\r\n -24  -3   1-61.9132 503.041   2\r\n -24   3  -2-2785.54 1430.49   3\r\n -24   3  -2 483.527 881.084   6\r\n  24   3   2-175.696 1291.38   4\r\n  24  -3  -2-1144.97 877.733   4\r\n -24  -3   2 1047.67 1226.59   2\r\n  24  -4   0 1979.39 1234.21   4\r\n -24   4   0 766.760 1240.53   6\r\n  24   4   0 1678.67 1596.15   4\r\n -24  -4   0 3311.35 1094.42   2\r\n  25   0   0-753.654 674.989   7\r\n -25   0   0 446.946 1004.96   2\r\n  25   0   0 1137.33 689.770   4\r\n -25   0   0-317.478 671.165   6\r\n  25   0  -1 2316.40 744.983   7\r\n -25   0   1 2085.75 1111.06   2\r\n  25   0   1 2045.63 1126.15   4\r\n -25   0  -1-519.726 1416.16   6\r\n -25   0   1-384.714 1194.69   6\r\n  25   0  -1-194.075 683.040   4\r\n  25   0  -2 1574.33 897.509   7\r\n  25   0   2 2155.85 1277.05   4\r\n -25   0   2 1674.24 986.641   2\r\n -25   0  -2 1790.24 1327.74   6\r\n  25   0  -2 3125.95 1444.31   4\r\n  25   1  -2 542.272 577.416   7\r\n -25   1   2 21.1153 950.071   2\r\n  25  -1   2-464.565 1212.32   4\r\n -25  -1  -2-1589.83 1202.23   6\r\n -25   1   2 2517.96 1196.83   6\r\n  25   1  -2 1015.49 1160.02   4\r\n -25   1   1 352.917 940.736   2\r\n  25   1  -1 1614.49 851.818   7\r\n -25  -1  -1 920.775 989.161   2\r\n  25  -1   1 524.926 1165.02   4\r\n -25   1   1 4584.27 1504.36   6\r\n -25  -1  -1 1229.15 977.822   6\r\n  25   1  -1 2577.57 1006.89   4\r\n  25   1   0-650.967 706.413   7\r\n -25  -1   0-690.250 798.017   2\r\n  25  -1   0 316.564 932.520   4\r\n -25   1   0 1840.23 1267.36   6\r\n  25   1   0-350.208 1262.34   4\r\n -25  -1   0 84.7675 1073.15   6\r\n  25  -1  -1 1047.77 892.942   7\r\n  25   1   1 2110.96 1297.93   4\r\n -25   1  -1 625.072 1072.71   6\r\n -25  -1   1-715.270 1270.01   2\r\n  25  -1  -1-1569.87 1649.02   4\r\n  25  -1  -2 1276.78 652.023   7\r\n  25   1   2 338.863 845.288   4\r\n -25   1  -2 559.420 1208.00   6\r\n -25  -1   2-2408.46 1405.24   2\r\n  25  -1  -2 1469.25 1040.08   4\r\n -25   1  -2-2294.25 1709.87   3\r\n  25   2  -1-1260.98 868.612   7\r\n  25  -2   1 2507.23 1119.54   4\r\n -25  -2  -1 3050.14 863.837   2\r\n -25   2   1 2618.28 1365.58   6\r\n -25  -2  -1 1000.29 756.601   6\r\n  25   2  -1 2289.10 1344.10   4\r\n  25   2   0 212.285 671.782   7\r\n  25  -2   0 968.171 967.722   4\r\n -25   2   0 422.010 484.941   6\r\n  25   2   0-184.243 939.809   4\r\n -25   2  -1 3997.17 1340.14   6\r\n  25  -2  -1 134.945 842.893   4\r\n  25   2   1 1824.22 1316.74   4\r\n -25  -2   1 1811.90 1008.79   2\r\n  25  -3   0-173.252 1208.25   4\r\n -25   3   0-983.789 1535.07   6\r\n  25   3   0-937.674 1729.89   4\r\n -25  -3   0 2087.53 1056.68   2\r\n -26   0   0 2748.76 1109.53   2\r\n  26   0   0 3181.49 997.010   7\r\n  26   0   0 1057.47 1028.08   4\r\n -26   0   0 4597.66 1631.72   6\r\n  26   0  -1 2061.68 1094.34   7\r\n  26   0   1 2056.43 815.460   7\r\n -26   0   1 3619.12 1204.38   2\r\n  26   0   1 2884.10 1409.94   4\r\n -26   0  -1 1549.27 1339.45   6\r\n -26   0   1 1308.48 1090.40   6\r\n  26   0  -1 3036.81 1194.05   4\r\n -26  -1  -1 663.278 1176.77   2\r\n  26   1  -1 1231.52 928.474   7\r\n  26  -1   1 1044.88 817.205   4\r\n -26   1   1 1028.04 1218.45   6\r\n -26  -1  -1 1737.14 1133.54   6\r\n  26   1  -1 2230.28 1328.23   4\r\n  26   1   0-598.694 1117.09   7\r\n -26  -1   0 2335.90 1060.67   2\r\n  26  -1   0 2962.50 916.814   4\r\n -26   1   0 1086.88 944.971   6\r\n  26   1   0-1151.24 1310.86   4\r\n -26  -1   0 909.743 1192.59   6\r\n -26  -1   1 1833.51 1151.73   2\r\n  26   1   1 3697.39 1229.16   4\r\n -26   1  -1 1098.80 930.025   6\r\n  26  -1  -1 2211.39 910.116   4\r\n   0   0   0    0.00    0.00   0\r\nTITL BIM-IV-R_MO in P2(1)2(1)2\r\nREM P2(1)2(1)2 (#18, found as P22(1)2(1) in -cba setting)\r\nCELL 0.71073  21.115285   7.784572   6.134271  90.0000  90.0000  90.0000\r\nZERR    2.00   0.001561   0.000638   0.000451   0.0000   0.0000   0.0000\r\nLATT -1\r\nSYMM -x,-y, z\r\nSYMM -x+1/2, y+1/2,-z\r\nSYMM  x+1/2,-y+1/2,-z\r\nSFAC C H N F S\r\nUNIT 44.00 40.00 4.00 4.00 2.00\r\nTREF\r\nHKLF 4\r\nEND\r\n;\r\n_shelx_hkl_checksum              56706\r\n"
  },
  {
    "path": "pyxtal/database/cifs/LUFHAW.cif",
    "content": "####################################################################### \n# \n# This file contains crystal structure data downloaded from the \n# Cambridge Structural Database (CSD) hosted by the Cambridge \n# Crystallographic Data Centre (CCDC).\n# \n# Full information about CCDC data access policies and citation \n# guidelines are available at http://www.ccdc.cam.ac.uk/access/V1 \n# \n# Audit and citation data items may have been added by the CCDC. \n# Please retain this information to preserve the provenance of \n# this file and to allow appropriate attribution of the data. \n# \n#######################################################################\n\ndata_mw062\n_audit_block_doi                 10.5517/cct0g6g\n_database_code_depnum_ccdc_archive 'CCDC 745215'\nloop_\n_citation_id\n_citation_doi\n_citation_year\n1 10.1021/jo900590u 2009\n_audit_update_record             \n;\n2009-08-24 deposited with the CCDC. 2020-08-14 downloaded from the CCDC.\n;\n\n_audit_creation_method           SHELXL-97\n_chemical_name_systematic        \n;\n?\n;\n_chemical_name_common            ?\n_chemical_melting_point          ?\n_chemical_formula_moiety         ?\n_chemical_formula_sum            'C20 H14 S2'\n_chemical_formula_weight         318.43\n\nloop_\n_atom_type_symbol\n_atom_type_description\n_atom_type_scat_dispersion_real\n_atom_type_scat_dispersion_imag\n_atom_type_scat_source\nC C 0.0033 0.0016 'International Tables Vol C Tables 4.2.6.8 and 6.1.1.4'\nH H 0.0000 0.0000 'International Tables Vol C Tables 4.2.6.8 and 6.1.1.4'\nS S 0.1246 0.1234 'International Tables Vol C Tables 4.2.6.8 and 6.1.1.4'\n\n_symmetry_cell_setting           monoclinic\n_symmetry_space_group_name_H-M   'P 21/n'\n\nloop_\n_symmetry_equiv_pos_as_xyz\n'x, y, z'\n'-x+1/2, y+1/2, -z+1/2'\n'-x, -y, -z'\n'x+1/2, -y+1/2, z+1/2'\n\n_cell_length_a                   8.5007(15)\n_cell_length_b                   5.7259(9)\n_cell_length_c                   15.333(2)\n_cell_angle_alpha                90.000(5)\n_cell_angle_beta                 96.413(9)\n_cell_angle_gamma                90.000(5)\n_cell_volume                     741.7(2)\n_cell_formula_units_Z            2\n_cell_measurement_temperature    173(2)\n_cell_measurement_reflns_used    2036\n_cell_measurement_theta_min      2.62\n_cell_measurement_theta_max      27.46\n\n_exptl_crystal_description       plate\n_exptl_crystal_colour            yellow\n_exptl_crystal_size_max          0.50\n_exptl_crystal_size_mid          0.35\n_exptl_crystal_size_min          0.03\n_exptl_crystal_density_meas      ?\n_exptl_crystal_density_diffrn    1.426\n_exptl_crystal_density_method    'not measured'\n_exptl_crystal_F_000             332\n_exptl_absorpt_coefficient_mu    0.351\n_exptl_absorpt_correction_type   multi-scan\n_exptl_absorpt_correction_T_min  0.704\n_exptl_absorpt_correction_T_max  0.990\n_exptl_absorpt_process_details   ?\n\n_exptl_special_details           \n;\n?\n;\n\n_diffrn_ambient_temperature      173(2)\n_diffrn_radiation_wavelength     0.71069\n_diffrn_radiation_type           MoK\\a\n_diffrn_radiation_source         'fine-focus sealed tube'\n_diffrn_radiation_monochromator  graphite\n_diffrn_measurement_device_type  'Bruker X8 APEX II'\n_diffrn_measurement_method       'area detector'\n_diffrn_detector_area_resol_mean ?\n_diffrn_standards_number         ?\n_diffrn_standards_interval_count ?\n_diffrn_standards_interval_time  ?\n_diffrn_standards_decay_%        ?\n_diffrn_reflns_number            7417\n_diffrn_reflns_av_R_equivalents  0.0368\n_diffrn_reflns_av_sigmaI/netI    0.0369\n_diffrn_reflns_limit_h_min       -11\n_diffrn_reflns_limit_h_max       11\n_diffrn_reflns_limit_k_min       -7\n_diffrn_reflns_limit_k_max       7\n_diffrn_reflns_limit_l_min       -20\n_diffrn_reflns_limit_l_max       20\n_diffrn_reflns_theta_min         2.62\n_diffrn_reflns_theta_max         27.96\n_reflns_number_total             1784\n_reflns_number_gt                1363\n_reflns_threshold_expression     >2sigma(I)\n\n_computing_data_collection       ?\n_computing_cell_refinement       ?\n_computing_data_reduction        ?\n_computing_structure_solution    ?\n_computing_structure_refinement  'SHELXL-97 (Sheldrick, 1997)'\n_computing_molecular_graphics    ?\n_computing_publication_material  ?\n\n_refine_special_details          \n;\nRefinement of F^2^ against ALL reflections. The weighted R-factor wR and\ngoodness of fit S are based on F^2^, conventional R-factors R are based\non F, with F set to zero for negative F^2^. The threshold expression of\nF^2^ > 2sigma(F^2^) is used only for calculating R-factors(gt) etc. and is\nnot relevant to the choice of reflections for refinement. R-factors based\non F^2^ are statistically about twice as large as those based on F, and R-\nfactors based on ALL data will be even larger.\n;\n\n_refine_ls_structure_factor_coef Fsqd\n_refine_ls_matrix_type           full\n_refine_ls_weighting_scheme      calc\n_refine_ls_weighting_details     \n'calc w=1/[\\s^2^(Fo^2^)+(0.0397P)^2^+0.5900P] where P=(Fo^2^+2Fc^2^)/3'\n_atom_sites_solution_primary     direct\n_atom_sites_solution_secondary   difmap\n_atom_sites_solution_hydrogens   geom\n_refine_ls_hydrogen_treatment    constr\n_refine_ls_extinction_method     none\n_refine_ls_extinction_coef       ?\n_refine_ls_number_reflns         1784\n_refine_ls_number_parameters     100\n_refine_ls_number_restraints     0\n_refine_ls_R_factor_all          0.0604\n_refine_ls_R_factor_gt           0.0397\n_refine_ls_wR_factor_ref         0.1001\n_refine_ls_wR_factor_gt          0.0900\n_refine_ls_goodness_of_fit_ref   1.025\n_refine_ls_restrained_S_all      1.025\n_refine_ls_shift/su_max          0.000\n_refine_ls_shift/su_mean         0.000\n\nloop_\n_atom_site_label\n_atom_site_type_symbol\n_atom_site_fract_x\n_atom_site_fract_y\n_atom_site_fract_z\n_atom_site_U_iso_or_equiv\n_atom_site_adp_type\n_atom_site_occupancy\n_atom_site_symmetry_multiplicity\n_atom_site_calc_flag\n_atom_site_refinement_flags\n_atom_site_disorder_assembly\n_atom_site_disorder_group\nC1   C 1.0308(2) 0.4781(4) 0.71684(13) 0.0273(5)    Uani 1 1 d . . .\nC2   C 1.1287(2) 0.3848(4) 0.78330(12) 0.0262(4)    Uani 1 1 d . . .\nH2   H 1.1876 0.2456 0.7777 0.031                   Uiso 1 1 calc R . .\nC3   C 1.1346(2) 0.5166(4) 0.86280(12) 0.0230(4)    Uani 1 1 d . . .\nC4   C 1.0384(2) 0.7120(3) 0.85382(11) 0.0211(4)    Uani 1 1 d . . .\nC5   C 1.2205(2) 0.4675(4) 0.94579(12) 0.0250(4)    Uani 1 1 d . . .\nH5   H 1.2888 0.3359 0.9524 0.030                   Uiso 1 1 calc R . .\nC6   C 1.2053(2) 0.6077(4) 1.01543(12) 0.0239(4)    Uani 1 1 d . . .\nH6   H 1.2635 0.5721 1.0704 0.029                   Uiso 1 1 calc R . .\nC7   C 1.1045(2) 0.8068(3) 1.00861(11) 0.0203(4)    Uani 1 1 d . . .\nC8   C 1.0182(2) 0.8637(3) 0.92561(11) 0.0200(4)    Uani 1 1 d . . .\nC9   C 0.9171(2) 1.0545(3) 0.91918(11) 0.0211(4)    Uani 1 1 d . . .\nH9   H 0.8610 1.0917 0.8638 0.025                   Uiso 1 1 calc R . .\nC10  C 0.9959(3) 0.3910(5) 0.62466(13) 0.0382(6)    Uani 1 1 d . . .\nH10A H 0.9202 0.4960 0.5916 0.057                   Uiso 1 1 calc PR . .\nH10B H 0.9507 0.2337 0.6253 0.057                   Uiso 1 1 calc PR . .\nH10C H 1.0941 0.3863 0.5967 0.057                   Uiso 1 1 calc PR . .\nS1   S 0.94261(6) 0.73226(9) 0.74878(3) 0.02655(16) Uani 1 1 d . . .\n\n"
  },
  {
    "path": "pyxtal/database/cifs/LiCs.cif",
    "content": "#############################################################\n#             ______       _    _          _   \t            #\n#            (_____ \\     \\ \\  / /        | |               #\n#             _____) )   _ \\ \\/ / |_  ____| |  \t            #\n#            |  ____/ | | | )  (|  _)/ _  | | \t            #\n#            | |    | |_| |/ /\\ \\ |_( (_| | |___            #\n#            |_|     \\__  /_/  \\_\\___)__|_|_____)           #\n#                   (____/                                  #\n#---------------------(version    0.1.6)--------------------#\n#       A Python package for random crystal generation      #\n#       url: https://github.com/qzhu2017/pyxtal             #\n#       @Zhu's group at University of Nevada Las Vegas      #\n#############################################################\ndata_from_pyxtal\n\n_symmetry_space_group_name_H-M 'Pc'\n_symmetry_Int_Tables_number                    7\n_symmetry_cell_setting                monoclinic\n_cell_length_a            4.805546\n_cell_length_b            6.765981\n_cell_length_c            8.043214\n_cell_angle_alpha        90.000000\n_cell_angle_beta        151.317203\n_cell_angle_gamma        90.000000\n\nloop_\n _symmetry_equiv_pos_site_id\n _symmetry_equiv_pos_as_xyz\n1 'x, y, z'\n2 'x, -y, z+1/2'\n\nloop_\n _atom_site_label\n _atom_site_type_symbol\n _atom_site_symmetry_multiplicity\n _atom_site_fract_x\n _atom_site_fract_y\n _atom_site_fract_z\n _atom_site_occupancy\nCs     Cs       2     0.055653    0.477892    0.612204 1\nCs     Cs       2     0.073133    0.026548    0.428173 1\nLi     Li       2     0.446473    0.882359    0.525852 1\nLi     Li       2     0.479772    0.575346    0.968157 1\nCs     Cs       2     0.623667    0.263436    0.942333 1\nCs     Cs       2     0.624587    0.232741    0.725793 1\nLi     Li       2     0.196982    0.376045   -0.009698 1\nCs     Cs       2     0.201161    0.133393    0.211244 1\nLi     Li       2     0.812269    0.821504    0.018980 1\nLi     Li       2     0.795451    0.652229    0.806644 1\n#END\n\n"
  },
  {
    "path": "pyxtal/database/cifs/MERQIM.cif",
    "content": "####################################################################### \r\n# \r\n# This file contains crystal structure data downloaded from the \r\n# Cambridge Structural Database (CSD) hosted by the Cambridge \r\n# Crystallographic Data Centre (CCDC).\r\n# \r\n# Full information about CCDC data access policies and citation \r\n# guidelines are available at http://www.ccdc.cam.ac.uk/access/V1 \r\n# \r\n# Audit and citation data items may have been added by the CCDC. \r\n# Please retain this information to preserve the provenance of \r\n# this file and to allow appropriate attribution of the data. \r\n# \r\n#######################################################################\r\n\r\ndata_150907\r\n_audit_block_doi                 10.5517/ccdc.csd.cc1q83gk\r\n_database_code_depnum_ccdc_archive 'CCDC 1586718'\r\nloop_\r\n_citation_id\r\n_citation_doi\r\n_citation_year\r\n1 10.1039/C7TC05317G 2018\r\n_audit_update_record             \r\n;\r\n2017-11-20 deposited with the CCDC.\t2020-08-14 downloaded from the CCDC.\r\n;\r\n\r\n#==============================================================================\r\n# CHEMICAL DATA\r\n\r\n_chemical_formula_sum            'C16 H14 S4'\r\n_chemical_formula_moiety         'C16 H14 S4'\r\n_chemical_formula_weight         334.53\r\n_chemical_melting_point          ?\r\n\r\n#==============================================================================\r\n# CRYSTAL DATA\r\n_space_group_crystal_system      monoclinic\r\n_space_group_name_H-M_alt        'P 1 21/a 1'\r\n_space_group_name_Hall           '-P 2yab'\r\n_space_group_IT_number           14\r\nloop_\r\n_space_group_symop_id\r\n_space_group_symop_operation_xyz\r\n1 +X,+Y,+Z\r\n2 1/2-X,1/2+Y,-Z\r\n3 -X,-Y,-Z\r\n4 -1/2+X,-1/2-Y,+Z\r\n#------------------------------------------------------------------------------\r\n_cell_length_a                   8.7379(2)\r\n_cell_length_b                   6.35286(10)\r\n_cell_length_c                   13.4028(3)\r\n_cell_angle_alpha                90.0000\r\n_cell_angle_beta                 90.3908(10)\r\n_cell_angle_gamma                90.0000\r\n_cell_volume                     743.98(3)\r\n_cell_formula_units_Z            2\r\n_cell_measurement_reflns_used    8460\r\n_cell_measurement_theta_min      3.30\r\n_cell_measurement_theta_max      68.25\r\n_cell_measurement_temperature    100\r\n#------------------------------------------------------------------------------\r\n_exptl_crystal_description       platelet\r\n_exptl_crystal_colour            yellow\r\n_exptl_crystal_size_max          0.500\r\n_exptl_crystal_size_mid          0.300\r\n_exptl_crystal_size_min          0.100\r\n_exptl_crystal_density_diffrn    1.493\r\n_exptl_crystal_density_meas      ?\r\n_exptl_crystal_density_method    'not measured'\r\n_exptl_crystal_F_000             348.00\r\n_exptl_absorpt_coefficient_mu    5.730\r\n_exptl_absorpt_correction_type   multi-scan\r\n_exptl_absorpt_process_details   'ABSCOR (Rigaku, 1995)'\r\n_exptl_absorpt_correction_T_min  0.414\r\n_exptl_absorpt_correction_T_max  0.564\r\n\r\n#==============================================================================\r\n# EXPERIMENTAL DATA\r\n\r\n_diffrn_ambient_temperature      100\r\n_diffrn_radiation_type           'Cu K\\a'\r\n_diffrn_radiation_wavelength     1.54187\r\n_diffrn_measurement_device_type  'Rigaku R-AXIS RAPID'\r\n_diffrn_measurement_method       \\w\r\n_diffrn_detector_area_resol_mean 10.000\r\n_diffrn_reflns_number            12646\r\n_diffrn_reflns_av_R_equivalents  0.0838\r\n_diffrn_reflns_theta_max         68.252\r\n_diffrn_reflns_theta_min         3.298\r\n_diffrn_reflns_theta_full        67.687\r\n_diffrn_measured_fraction_theta_max 1.000\r\n_diffrn_measured_fraction_theta_full 1.000\r\n_diffrn_reflns_Laue_measured_fraction_max 1.000\r\n_diffrn_reflns_Laue_measured_fraction_full 1.000\r\n_diffrn_reflns_point_group_measured_fraction_max 1.000\r\n_diffrn_reflns_point_group_measured_fraction_full 1.000\r\n_diffrn_reflns_limit_h_min       -10\r\n_diffrn_reflns_limit_h_max       10\r\n_diffrn_reflns_limit_k_min       -7\r\n_diffrn_reflns_limit_k_max       7\r\n_diffrn_reflns_limit_l_min       -16\r\n_diffrn_reflns_limit_l_max       16\r\n_diffrn_standards_number         0\r\n_diffrn_standards_interval_count .\r\n_diffrn_standards_decay_%        ?\r\n_reflns_number_total             1362\r\n_reflns_number_gt                1222\r\n_reflns_threshold_expression     F^2^>2.0\\s(F^2^)\r\n_reflns_Friedel_coverage         0.000\r\n_reflns_Friedel_fraction_max     .\r\n_reflns_Friedel_fraction_full    .\r\n\r\n#==============================================================================\r\n# REFINEMENT DATA\r\n\r\n_refine_special_details          \r\n;\r\n    Refinement was performed using all reflections. The weighted \r\n    R-factor (wR) and goodness of fit (S) are based on F^2^.\r\n    R-factor (gt) are based on F. The threshold expression of\r\n    F^2^ > 2.0 sigma(F^2^) is used only for calculating R-factor (gt).\r\n;\r\n_refine_ls_structure_factor_coef Fsqd\r\n_refine_ls_R_factor_all          0.0423\r\n_refine_ls_R_factor_gt           0.0389\r\n_refine_ls_wR_factor_ref         0.1152\r\n_refine_ls_wR_factor_gt          0.1106\r\n_refine_ls_number_restraints     0\r\n_refine_ls_hydrogen_treatment    constr\r\n_refine_ls_number_reflns         1362\r\n_refine_ls_number_parameters     92\r\n_refine_ls_goodness_of_fit_ref   1.048\r\n_refine_ls_weighting_scheme      calc\r\n_refine_ls_weighting_details     \r\n'w = 1/[\\s^2^(Fo^2^)+(0.0718P)^2^+0.2191P] where P=(Fo^2^+2Fc^2^)/3'\r\n_atom_sites_solution_hydrogens   geom\r\n_atom_sites_solution_primary     direct\r\n_atom_sites_solution_secondary   difmap\r\n_refine_ls_shift/su_max          0.000\r\n_refine_diff_density_max         0.49\r\n_refine_diff_density_min         -0.32\r\n_refine_ls_extinction_method     SHELXL\r\n_refine_ls_extinction_coef       0.0094(15)\r\n\r\nloop_\r\n_atom_type_symbol\r\n_atom_type_description\r\n_atom_type_scat_dispersion_real\r\n_atom_type_scat_dispersion_imag\r\n_atom_type_scat_source\r\nC C 0.0181 0.0091\r\n;\r\nInternational Tables for Crystallography\r\n(Vol. C, Tables 4.2.6.8 and 6.1.1.4)\r\n;\r\nH H 0.0000 0.0000\r\n;\r\nInternational Tables for Crystallography\r\n(Vol. C, Table 6.1.1.4)\r\n;\r\nS S 0.3331 0.5567\r\n;\r\nInternational Tables for Crystallography\r\n(Vol. C, Tables 4.2.6.8 and 6.1.1.4)\r\n;\r\n\r\n#==============================================================================\r\n# ATOMIC COORDINATES AND THERMAL PARAMETERS\r\n\r\nloop_\r\n_atom_site_label\r\n_atom_site_type_symbol\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\n_atom_site_U_iso_or_equiv\r\n_atom_site_adp_type\r\n_atom_site_occupancy\r\n_atom_site_site_symmetry_order\r\n_atom_site_calc_flag\r\n_atom_site_refinement_flags_posn\r\n_atom_site_refinement_flags_adp\r\n_atom_site_refinement_flags_occupancy\r\n_atom_site_disorder_assembly\r\n_atom_site_disorder_group\r\nS1 S 0.56438(7) 0.23926(8) 0.19148(4) 0.0481(3) Uani 1 1 d . . . . .\r\nS2 S 0.42140(7) 0.38006(10) 0.38241(4) 0.0555(3) Uani 1 1 d . . . . .\r\nC1 C 0.3929(2) 0.5751(3) 0.19621(15) 0.0383(5) Uani 1 1 d . . . . .\r\nC2 C 0.4395(2) 0.5513(3) 0.09422(15) 0.0364(5) Uani 1 1 d . . . . .\r\nC3 C 0.5360(2) 0.3740(3) 0.07935(15) 0.0384(5) Uani 1 1 d . . . . .\r\nC4 C 0.5963(2) 0.3203(3) -0.01193(15) 0.0402(5) Uani 1 1 d . . . . .\r\nH4 H 0.6601 0.2002 -0.0190 0.048 Uiso 1 1 calc R U . . .\r\nC5 C 0.4496(2) 0.4183(3) 0.25505(15) 0.0412(5) Uani 1 1 d . . . . .\r\nC6 C 0.2935(3) 0.7496(3) 0.23379(17) 0.0473(6) Uani 1 1 d . . . . .\r\nH6A H 0.1865 0.7224 0.2128 0.057 Uiso 1 1 calc R U . . .\r\nH6B H 0.3262 0.8834 0.2026 0.057 Uiso 1 1 calc R U . . .\r\nC7 C 0.2991(4) 0.7742(4) 0.3462(2) 0.0669(8) Uani 1 1 d . . . . .\r\nH7A H 0.4001 0.8326 0.3655 0.080 Uiso 1 1 calc R U . . .\r\nH7B H 0.2201 0.8772 0.3663 0.080 Uiso 1 1 calc R U . . .\r\nC8 C 0.2740(4) 0.5744(5) 0.4020(2) 0.0675(8) Uani 1 1 d . . . . .\r\nH8A H 0.1742 0.5140 0.3815 0.081 Uiso 1 1 calc R U . . .\r\nH8B H 0.2686 0.6066 0.4742 0.081 Uiso 1 1 calc R U . . .\r\n\r\nloop_\r\n_atom_site_aniso_label\r\n_atom_site_aniso_U_11\r\n_atom_site_aniso_U_22\r\n_atom_site_aniso_U_33\r\n_atom_site_aniso_U_23\r\n_atom_site_aniso_U_13\r\n_atom_site_aniso_U_12\r\nS1 0.0563(4) 0.0450(4) 0.0431(4) 0.0091(2) 0.0033(3) 0.0141(2)\r\nS2 0.0659(5) 0.0603(4) 0.0403(4) 0.0075(2) 0.0075(3) 0.0071(3)\r\nC1 0.0337(10) 0.0389(10) 0.0423(11) -0.0006(8) 0.0014(8) -0.0025(8)\r\nC2 0.0334(10) 0.0351(10) 0.0406(11) 0.0010(8) 0.0003(8) -0.0001(8)\r\nC3 0.0399(11) 0.0349(10) 0.0403(11) 0.0037(8) -0.0005(8) 0.0033(8)\r\nC4 0.0393(11) 0.0362(10) 0.0450(11) 0.0019(9) 0.0010(8) 0.0068(8)\r\nC5 0.0420(11) 0.0425(11) 0.0390(11) 0.0015(8) 0.0031(9) -0.0018(9)\r\nC6 0.0492(13) 0.0447(12) 0.0482(13) -0.0028(9) 0.0062(10) 0.0050(9)\r\nC7 0.077(2) 0.0652(17) 0.0589(16) -0.0135(12) 0.0049(14) 0.0161(13)\r\nC8 0.0749(18) 0.0805(19) 0.0475(14) -0.0035(13) 0.0144(12) 0.0108(15)\r\n\r\n#==============================================================================\r\n_computing_data_collection       'RAPID AUTO (Rigaku, ????)'\r\n_computing_cell_refinement       'RAPID AUTO'\r\n_computing_data_reduction        'RAPID AUTO'\r\n_computing_structure_solution    'SIR2011 (Burla, et al., 2012)'\r\n_computing_structure_refinement  'SHELXL Version 2014/7 (Sheldrick, 2008)'\r\n_computing_publication_material  'CrystalStructure 4.2.1 (Rigaku, 2016)'\r\n_computing_molecular_graphics    'CrystalStructure 4.2.1'\r\n\r\n#==============================================================================\r\n# MOLECULAR GEOMETRY\r\n\r\n_geom_special_details            \r\n;\r\n All esds (except the esd in the dihedral angle between two l.s. planes)\r\n are estimated using the full covariance matrix.  The cell esds are taken\r\n into account individually in the estimation of esds in distances, angles\r\n and torsion angles; correlations between esds in cell parameters are only\r\n used when they are defined by crystal symmetry.  An approximate (isotropic)\r\n treatment of cell esds is used for estimating esds involving l.s. planes.\r\n;\r\n\r\nloop_\r\n_geom_bond_atom_site_label_1\r\n_geom_bond_atom_site_label_2\r\n_geom_bond_distance\r\n_geom_bond_site_symmetry_2\r\n_geom_bond_publ_flag\r\nS1 C5 1.743(2) . ?\r\nS1 C3 1.746(2) . ?\r\nS2 C5 1.743(2) . ?\r\nS2 C8 1.804(3) . ?\r\nC1 C5 1.361(3) . ?\r\nC1 C2 1.437(3) . ?\r\nC1 C6 1.498(3) . ?\r\nC2 C4 1.405(3) 3_665 ?\r\nC2 C3 1.422(3) . ?\r\nC3 C4 1.378(3) . ?\r\nC4 C2 1.405(3) 3_665 ?\r\nC4 H4 0.9500 . ?\r\nC6 C7 1.515(4) . ?\r\nC6 H6A 0.9900 . ?\r\nC6 H6B 0.9900 . ?\r\nC7 C8 1.491(4) . ?\r\nC7 H7A 0.9900 . ?\r\nC7 H7B 0.9900 . ?\r\nC8 H8A 0.9900 . ?\r\nC8 H8B 0.9900 . ?\r\n\r\nloop_\r\n_geom_angle_atom_site_label_1\r\n_geom_angle_atom_site_label_2\r\n_geom_angle_atom_site_label_3\r\n_geom_angle\r\n_geom_angle_site_symmetry_1\r\n_geom_angle_site_symmetry_3\r\n_geom_angle_publ_flag\r\nC5 S1 C3 91.25(10) . . ?\r\nC5 S2 C8 98.81(12) . . ?\r\nC5 C1 C2 111.72(19) . . ?\r\nC5 C1 C6 123.8(2) . . ?\r\nC2 C1 C6 124.48(18) . . ?\r\nC4 C2 C3 118.61(19) 3_665 . ?\r\nC4 C2 C1 128.52(19) 3_665 . ?\r\nC3 C2 C1 112.86(17) . . ?\r\nC4 C3 C2 123.46(18) . . ?\r\nC4 C3 S1 126.13(16) . . ?\r\nC2 C3 S1 110.42(15) . . ?\r\nC3 C4 C2 117.93(19) . 3_665 ?\r\nC3 C4 H4 121.0 . . ?\r\nC2 C4 H4 121.0 3_665 . ?\r\nC1 C5 S1 113.73(17) . . ?\r\nC1 C5 S2 128.02(18) . . ?\r\nS1 C5 S2 118.25(12) . . ?\r\nC1 C6 C7 113.3(2) . . ?\r\nC1 C6 H6A 108.9 . . ?\r\nC7 C6 H6A 108.9 . . ?\r\nC1 C6 H6B 108.9 . . ?\r\nC7 C6 H6B 108.9 . . ?\r\nH6A C6 H6B 107.7 . . ?\r\nC8 C7 C6 114.1(2) . . ?\r\nC8 C7 H7A 108.7 . . ?\r\nC6 C7 H7A 108.7 . . ?\r\nC8 C7 H7B 108.7 . . ?\r\nC6 C7 H7B 108.7 . . ?\r\nH7A C7 H7B 107.6 . . ?\r\nC7 C8 S2 113.7(2) . . ?\r\nC7 C8 H8A 108.8 . . ?\r\nS2 C8 H8A 108.8 . . ?\r\nC7 C8 H8B 108.8 . . ?\r\nS2 C8 H8B 108.8 . . ?\r\nH8A C8 H8B 107.7 . . ?\r\n\r\nloop_\r\n_geom_torsion_atom_site_label_1\r\n_geom_torsion_atom_site_label_2\r\n_geom_torsion_atom_site_label_3\r\n_geom_torsion_atom_site_label_4\r\n_geom_torsion\r\n_geom_torsion_site_symmetry_1\r\n_geom_torsion_site_symmetry_2\r\n_geom_torsion_site_symmetry_3\r\n_geom_torsion_site_symmetry_4\r\n_geom_torsion_publ_flag\r\nC5 C1 C2 C4 179.6(2) . . . 3_665 ?\r\nC6 C1 C2 C4 -0.1(3) . . . 3_665 ?\r\nC5 C1 C2 C3 -1.4(2) . . . . ?\r\nC6 C1 C2 C3 178.94(19) . . . . ?\r\nC4 C2 C3 C4 -0.2(3) 3_665 . . . ?\r\nC1 C2 C3 C4 -179.33(19) . . . . ?\r\nC4 C2 C3 S1 179.94(15) 3_665 . . . ?\r\nC1 C2 C3 S1 0.8(2) . . . . ?\r\nC5 S1 C3 C4 -179.9(2) . . . . ?\r\nC5 S1 C3 C2 -0.05(15) . . . . ?\r\nC2 C3 C4 C2 0.2(3) . . . 3_665 ?\r\nS1 C3 C4 C2 -179.96(15) . . . 3_665 ?\r\nC2 C1 C5 S1 1.4(2) . . . . ?\r\nC6 C1 C5 S1 -178.97(17) . . . . ?\r\nC2 C1 C5 S2 -179.03(15) . . . . ?\r\nC6 C1 C5 S2 0.6(3) . . . . ?\r\nC3 S1 C5 C1 -0.77(17) . . . . ?\r\nC3 S1 C5 S2 179.58(13) . . . . ?\r\nC8 S2 C5 C1 9.7(2) . . . . ?\r\nC8 S2 C5 S1 -170.67(15) . . . . ?\r\nC5 C1 C6 C7 17.0(3) . . . . ?\r\nC2 C1 C6 C7 -163.4(2) . . . . ?\r\nC1 C6 C7 C8 -50.3(3) . . . . ?\r\nC6 C7 C8 S2 64.4(3) . . . . ?\r\nC5 S2 C8 C7 -39.9(2) . . . . ?\r\n\r\n"
  },
  {
    "path": "pyxtal/database/cifs/MPWO.cif",
    "content": "# generated using pymatgen\ndata_MgPb2WO6\n_symmetry_space_group_name_H-M   Pnma\n_cell_length_a   11.60754700\n_cell_length_b   8.05258500\n_cell_length_c   5.80099800\n_cell_angle_alpha   90.00000000\n_cell_angle_beta   90.00000000\n_cell_angle_gamma   90.00000000\n_symmetry_Int_Tables_number   62\n_chemical_formula_structural   MgPb2WO6\n_chemical_formula_sum   'Mg4 Pb8 W4 O24'\n_cell_volume   542.22368520\n_cell_formula_units_Z   4\nloop_\n _symmetry_equiv_pos_site_id\n _symmetry_equiv_pos_as_xyz\n  1  'x, y, z'\n  2  '-x, -y, -z'\n  3  '-x+1/2, -y, z+1/2'\n  4  'x+1/2, y, -z+1/2'\n  5  'x+1/2, -y+1/2, -z+1/2'\n  6  '-x+1/2, y+1/2, z+1/2'\n  7  '-x, y+1/2, -z'\n  8  'x, -y+1/2, z'\nloop_\n _atom_site_type_symbol\n _atom_site_label\n _atom_site_symmetry_multiplicity\n _atom_site_fract_x\n _atom_site_fract_y\n _atom_site_fract_z\n _atom_site_occupancy\n  Mg  Mg0  4  0.12027800  0.75000000  0.25567000  1\n  Pb  Pb1  8  0.14533100  0.00529900  0.79126500  1\n  W  W2  4  0.11660700  0.25000000  0.25399000  1\n  O  O3  8  0.13389300  0.00834300  0.22913300  1\n  O  O4  4  0.00132300  0.25000000  0.01499000  1\n  O  O5  4  0.01026200  0.25000000  0.49539200  1\n  O  O6  4  0.23550300  0.25000000  0.97740000  1\n  O  O7  4  0.24854000  0.75000000  0.96264200  1\n"
  },
  {
    "path": "pyxtal/database/cifs/NaCl.cif",
    "content": "#------------------------------------------------------------------------------\n#$Date: 2015-01-27 21:58:39 +0200 (Tue, 27 Jan 2015) $\n#$Revision: 130149 $\n#$URL: svn://www.crystallography.net/cod/cif/1/00/00/1000041.cif $\n#------------------------------------------------------------------------------\n#\n# This file is available in the Crystallography Open Database (COD),\n# http://www.crystallography.net/\n#\n# All data on this site have been placed in the public domain by the\n# contributors.\n#\ndata_1000041\nloop_\n_publ_author_name\n'Abrahams, S C'\n'Bernstein, J L'\n_publ_section_title\n;\nAccuracy of an automatic diffractometer. measurement of the sodium\nchloride structure factors\n;\n_journal_coden_ASTM              ACCRA9\n_journal_name_full               'Acta Crystallographica (1,1948-23,1967)'\n_journal_page_first              926\n_journal_page_last               932\n_journal_paper_doi               10.1107/S0365110X65002244\n_journal_volume                  18\n_journal_year                    1965\n_chemical_formula_structural     'Na Cl'\n_chemical_formula_sum            'Cl Na'\n_chemical_name_systematic        'Sodium chloride'\n_space_group_IT_number           225\n_symmetry_cell_setting           cubic\n_symmetry_Int_Tables_number      225\n_symmetry_space_group_name_Hall  '-F 4 2 3'\n_symmetry_space_group_name_H-M   'F m -3 m'\n_cell_angle_alpha                90\n_cell_angle_beta                 90\n_cell_angle_gamma                90\n_cell_formula_units_Z            4\n_cell_length_a                   5.64167\n_cell_length_b                   5.64167\n_cell_length_c                   5.64167\n_cell_volume                     177.5\n_refine_ls_R_factor_all          0.022\n_cod_database_code               1000041\nloop_\n_symmetry_equiv_pos_as_xyz\nx,y,z\ny,z,x\nz,x,y\nx,z,y\ny,x,z\nz,y,x\nx,-y,-z\ny,-z,-x\nz,-x,-y\nx,-z,-y\ny,-x,-z\nz,-y,-x\n-x,y,-z\n-y,z,-x\n-z,x,-y\n-x,z,-y\n-y,x,-z\n-z,y,-x\n-x,-y,z\n-y,-z,x\n-z,-x,y\n-x,-z,y\n-y,-x,z\n-z,-y,x\n-x,-y,-z\n-y,-z,-x\n-z,-x,-y\n-x,-z,-y\n-y,-x,-z\n-z,-y,-x\n-x,y,z\n-y,z,x\n-z,x,y\n-x,z,y\n-y,x,z\n-z,y,x\nx,-y,z\ny,-z,x\nz,-x,y\nx,-z,y\ny,-x,z\nz,-y,x\nx,y,-z\ny,z,-x\nz,x,-y\nx,z,-y\ny,x,-z\nz,y,-x\nx,1/2+y,1/2+z\n1/2+x,y,1/2+z\n1/2+x,1/2+y,z\ny,1/2+z,1/2+x\n1/2+y,z,1/2+x\n1/2+y,1/2+z,x\nz,1/2+x,1/2+y\n1/2+z,x,1/2+y\n1/2+z,1/2+x,y\nx,1/2+z,1/2+y\n1/2+x,z,1/2+y\n1/2+x,1/2+z,y\ny,1/2+x,1/2+z\n1/2+y,x,1/2+z\n1/2+y,1/2+x,z\nz,1/2+y,1/2+x\n1/2+z,y,1/2+x\n1/2+z,1/2+y,x\nx,1/2-y,1/2-z\n1/2+x,-y,1/2-z\n1/2+x,1/2-y,-z\ny,1/2-z,1/2-x\n1/2+y,-z,1/2-x\n1/2+y,1/2-z,-x\nz,1/2-x,1/2-y\n1/2+z,-x,1/2-y\n1/2+z,1/2-x,-y\nx,1/2-z,1/2-y\n1/2+x,-z,1/2-y\n1/2+x,1/2-z,-y\ny,1/2-x,1/2-z\n1/2+y,-x,1/2-z\n1/2+y,1/2-x,-z\nz,1/2-y,1/2-x\n1/2+z,-y,1/2-x\n1/2+z,1/2-y,-x\n-x,1/2+y,1/2-z\n1/2-x,y,1/2-z\n1/2-x,1/2+y,-z\n-y,1/2+z,1/2-x\n1/2-y,z,1/2-x\n1/2-y,1/2+z,-x\n-z,1/2+x,1/2-y\n1/2-z,x,1/2-y\n1/2-z,1/2+x,-y\n-x,1/2+z,1/2-y\n1/2-x,z,1/2-y\n1/2-x,1/2+z,-y\n-y,1/2+x,1/2-z\n1/2-y,x,1/2-z\n1/2-y,1/2+x,-z\n-z,1/2+y,1/2-x\n1/2-z,y,1/2-x\n1/2-z,1/2+y,-x\n-x,1/2-y,1/2+z\n1/2-x,-y,1/2+z\n1/2-x,1/2-y,z\n-y,1/2-z,1/2+x\n1/2-y,-z,1/2+x\n1/2-y,1/2-z,x\n-z,1/2-x,1/2+y\n1/2-z,-x,1/2+y\n1/2-z,1/2-x,y\n-x,1/2-z,1/2+y\n1/2-x,-z,1/2+y\n1/2-x,1/2-z,y\n-y,1/2-x,1/2+z\n1/2-y,-x,1/2+z\n1/2-y,1/2-x,z\n-z,1/2-y,1/2+x\n1/2-z,-y,1/2+x\n1/2-z,1/2-y,x\n-x,1/2-y,1/2-z\n1/2-x,-y,1/2-z\n1/2-x,1/2-y,-z\n-y,1/2-z,1/2-x\n1/2-y,-z,1/2-x\n1/2-y,1/2-z,-x\n-z,1/2-x,1/2-y\n1/2-z,-x,1/2-y\n1/2-z,1/2-x,-y\n-x,1/2-z,1/2-y\n1/2-x,-z,1/2-y\n1/2-x,1/2-z,-y\n-y,1/2-x,1/2-z\n1/2-y,-x,1/2-z\n1/2-y,1/2-x,-z\n-z,1/2-y,1/2-x\n1/2-z,-y,1/2-x\n1/2-z,1/2-y,-x\n-x,1/2+y,1/2+z\n1/2-x,y,1/2+z\n1/2-x,1/2+y,z\n-y,1/2+z,1/2+x\n1/2-y,z,1/2+x\n1/2-y,1/2+z,x\n-z,1/2+x,1/2+y\n1/2-z,x,1/2+y\n1/2-z,1/2+x,y\n-x,1/2+z,1/2+y\n1/2-x,z,1/2+y\n1/2-x,1/2+z,y\n-y,1/2+x,1/2+z\n1/2-y,x,1/2+z\n1/2-y,1/2+x,z\n-z,1/2+y,1/2+x\n1/2-z,y,1/2+x\n1/2-z,1/2+y,x\nx,1/2-y,1/2+z\n1/2+x,-y,1/2+z\n1/2+x,1/2-y,z\ny,1/2-z,1/2+x\n1/2+y,-z,1/2+x\n1/2+y,1/2-z,x\nz,1/2-x,1/2+y\n1/2+z,-x,1/2+y\n1/2+z,1/2-x,y\nx,1/2-z,1/2+y\n1/2+x,-z,1/2+y\n1/2+x,1/2-z,y\ny,1/2-x,1/2+z\n1/2+y,-x,1/2+z\n1/2+y,1/2-x,z\nz,1/2-y,1/2+x\n1/2+z,-y,1/2+x\n1/2+z,1/2-y,x\nx,1/2+y,1/2-z\n1/2+x,y,1/2-z\n1/2+x,1/2+y,-z\ny,1/2+z,1/2-x\n1/2+y,z,1/2-x\n1/2+y,1/2+z,-x\nz,1/2+x,1/2-y\n1/2+z,x,1/2-y\n1/2+z,1/2+x,-y\nx,1/2+z,1/2-y\n1/2+x,z,1/2-y\n1/2+x,1/2+z,-y\ny,1/2+x,1/2-z\n1/2+y,x,1/2-z\n1/2+y,1/2+x,-z\nz,1/2+y,1/2-x\n1/2+z,y,1/2-x\n1/2+z,1/2+y,-x\nloop_\n_atom_site_label\n_atom_site_type_symbol\n_atom_site_symmetry_multiplicity\n_atom_site_Wyckoff_symbol\n_atom_site_fract_x\n_atom_site_fract_y\n_atom_site_fract_z\n_atom_site_occupancy\n_atom_site_attached_hydrogens\n_atom_site_calc_flag\nNa1 Na1+ 4 a 0. 0. 0. 1. 0 d\nCl1 Cl1- 4 b 0.5 0.5 0.5 1. 0 d\nloop_\n_atom_type_symbol\n_atom_type_oxidation_number\nNa1+ 1.000\nCl1- -1.000\n"
  },
  {
    "path": "pyxtal/database/cifs/NaSb3F10.cif",
    "content": "#======================================================================\n\n# CRYSTAL DATA\n\n#----------------------------------------------------------------------\n\ndata_VESTA_phase_1\n\n\n_chemical_name_common                  'New structure'\n_cell_length_a                         8.28500\n_cell_length_b                         8.28500\n_cell_length_c                         7.60000\n_cell_angle_alpha                      90\n_cell_angle_beta                       90\n_cell_angle_gamma                      120\n_space_group_name_H-M_alt              'P 63'\n_space_group_IT_number                 173\n\nloop_\n_space_group_symop_operation_xyz\n   'x, y, z'\n   '-y, x-y, z'\n   '-x+y, -x, z'\n   '-x, -y, z+1/2'\n   'y, -x+y, z+1/2'\n   'x-y, x, z+1/2'\n\nloop_\n   _atom_site_label\n   _atom_site_occupancy\n   _atom_site_fract_x\n   _atom_site_fract_y\n   _atom_site_fract_z\n   _atom_site_adp_type\n   _atom_site_B_iso_or_equiv\n   _atom_site_type_symbol\n   Sb         1.0    -0.116300      0.224300      0.550000     Biso  1.000000 Sb\n   Na         1.0     0.333333      0.666667      0.467000     Biso  1.000000 Na\n   F          1.0     0.035000      0.491000      0.581000     Biso  1.000000 F\n   F          1.0     0.204000      0.393000      0.294000     Biso  1.000000 F\n   F          1.0     0.111000      0.229000      0.640000     Biso  1.000000 F\n   F          1.0     0.666667      0.333333      0.545000     Biso  1.000000 F\n"
  },
  {
    "path": "pyxtal/database/cifs/NbO2.cif",
    "content": "# generated using pymatgen\ndata_NbO2\n_symmetry_space_group_name_H-M   I4_1/a\n_cell_length_a   9.80017200\n_cell_length_b   9.80017200\n_cell_length_c   6.08831200\n_cell_angle_alpha   90.00000000\n_cell_angle_beta   90.00000000\n_cell_angle_gamma   90.00000000\n_symmetry_Int_Tables_number   88\n_chemical_formula_structural   NbO2\n_chemical_formula_sum   'Nb16 O32'\n_cell_volume   584.74200958\n_cell_formula_units_Z   16\nloop_\n _symmetry_equiv_pos_site_id\n _symmetry_equiv_pos_as_xyz\n  1  'x, y, z'\n  2  '-y+1/2, x, z+3/4'\n  3  '-x, -y, z'\n  4  'y+1/2, -x, z+3/4'\n  5  '-x+1/2, -y, -z+3/4'\n  6  'y, -x, -z'\n  7  'x+1/2, y, -z+3/4'\n  8  '-y, x, -z'\n  9  'x+1/2, y+1/2, z+1/2'\n  10  '-y, x+1/2, z+1/4'\n  11  '-x+1/2, -y+1/2, z+1/2'\n  12  'y, -x+1/2, z+1/4'\n  13  '-x, -y+1/2, -z+1/4'\n  14  'y+1/2, -x+1/2, -z+1/2'\n  15  'x, y+1/2, -z+1/4'\n  16  '-y+1/2, x+1/2, -z+1/2'\nloop_\n _atom_site_type_symbol\n _atom_site_label\n _atom_site_symmetry_multiplicity\n _atom_site_fract_x\n _atom_site_fract_y\n _atom_site_fract_z\n _atom_site_occupancy\n  Nb  Nb0  16  0.01353150  0.24283950  0.84862150  1\n  O  O1  16  0.10418550  0.34800750  0.13414850  1\n  O  O2  16  0.10688600  0.36493400  0.60970500  1\n"
  },
  {
    "path": "pyxtal/database/cifs/NiS-Cm.cif",
    "content": "#############################################################\n#             ______       _    _          _   \t            #\n#            (_____ \\     \\ \\  / /        | |               #\n#             _____) )   _ \\ \\/ / |_  ____| |  \t            #\n#            |  ____/ | | | )  (|  _)/ _  | | \t            #\n#            | |    | |_| |/ /\\ \\ |_( (_| | |___            #\n#            |_|     \\__  /_/  \\_\\___)__|_|_____)           #\n#                   (____/                                  #\n#---------------------(version    0.1.8)--------------------#\n#       A Python package for random crystal generation      #\n#       url: https://github.com/qzhu2017/pyxtal             #\n#       @Zhu's group at University of Nevada Las Vegas      #\n#############################################################\ndata_from_pyxtal\n\n_symmetry_space_group_name_H-M 'Cm'\n_symmetry_Int_Tables_number                    8\n_symmetry_cell_setting                monoclinic\n_cell_length_a            5.669311\n_cell_length_b            9.988657\n_cell_length_c            3.073181\n_cell_angle_alpha        90.000000\n_cell_angle_beta        106.153678\n_cell_angle_gamma        90.000000\n\nloop_\n _symmetry_equiv_pos_site_id\n _symmetry_equiv_pos_as_xyz\n1 'x, y, z'\n2 'x, -y, z'\n3 'x+1/2, y+1/2, z'\n4 'x+1/2, -y+1/2, z'\n\nloop_\n _atom_site_label\n _atom_site_type_symbol\n _atom_site_symmetry_multiplicity\n _atom_site_fract_x\n _atom_site_fract_y\n _atom_site_fract_z\n _atom_site_occupancy\nNi     Ni       4     0.362645    0.637032    0.388564 1\nNi     Ni       2     0.246987    0.000000    0.643177 1\nS      S        4     0.206580    0.841872    0.105715 1\nS      S        2     0.646058    0.000000    0.771561 1\n#END\n\n"
  },
  {
    "path": "pyxtal/database/cifs/P3_112.cif",
    "content": "data_global\r\n_amcsd_formula_title 'Ag2 H O4 P'\r\nloop_\r\n_publ_author_name\r\n'Tordjman I'\r\n'Boudjada A'\r\n'Guitel J'\r\n'Masse R'\r\n_journal_name_full 'Acta Crystallographica, Section B'\r\n_journal_volume 34 \r\n_journal_year 1978\r\n_journal_page_first 3723\r\n_journal_page_last 3725\r\n_publ_section_title\r\n;\r\n Structure de l'Hydrogenophosphate D'Argent\r\n _cod_database_code 1008168\r\n;\r\n_database_code_amcsd 0016108\r\n_chemical_formula_sum 'Ag2 P O4 H'\r\n_chemical_formula_sum ''\r\n_cell_length_a 6.190\r\n_cell_length_b 6.190\r\n_cell_length_c 9.015\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 120\r\n_cell_volume 299.142\r\n_exptl_crystal_density_diffrn      5.191\r\n_symmetry_space_group_name_H-M 'P 31 1 2'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  '-x+y,y,1/3-z'\r\n  '-y,x-y,1/3+z'\r\n  '-y,-x,2/3-z'\r\n  '-x+y,-x,2/3+z'\r\n  'x,x-y,-z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\nAg1  -0.08180   0.08180   0.33333\r\nAg2   0.20510  -0.20510   0.33333\r\nP1   0.50870  -0.50870   0.33333\r\nO1   0.26670   0.41230   0.41470\r\nO2   0.46090   0.27500   0.22470\r\nH1   0.62000   0.24000   0.16667\r\n"
  },
  {
    "path": "pyxtal/database/cifs/P4_332.cif",
    "content": "data_global\r\n_amcsd_formula_title 'Ge3 O8 Zn2'\r\nloop_\r\n_publ_author_name\r\n'Joubert J'\r\n'Durif A'\r\n_journal_name_full 'Comptes Rendus Hebdomadaires des Seances de l'Academie des Sciences'\r\n_journal_volume 256 \r\n_journal_year 1963\r\n_journal_page_first 4403\r\n_journal_page_last 4405\r\n_publ_section_title\r\n;\r\n Preparation de spinelles lacunaires par reaction d'echange a l'etat solide.\r\n _cod_database_code 1007256\r\n;\r\n_database_code_amcsd 0015937\r\n_chemical_formula_sum 'Ge3 Zn2 O8'\r\n_chemical_formula_sum ''\r\n_cell_length_a 8.213\r\n_cell_length_b 8.213\r\n_cell_length_c 8.213\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 90\r\n_cell_volume 553.995\r\n_exptl_crystal_density_diffrn      5.714\r\n_symmetry_space_group_name_H-M 'P 43 3 2'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  '-z,1/2+x,1/2-y'\r\n  '-y,1/2+z,1/2-x'\r\n  '-x,1/2+y,1/2-z'\r\n  '3/4-x,1/4+z,3/4+y'\r\n  '3/4-z,1/4+y,3/4+x'\r\n  '3/4-y,1/4+x,3/4+z'\r\n  '1/4-x,1/4-z,1/4-y'\r\n  '1/4-z,1/4-y,1/4-x'\r\n  '1/4-y,1/4-x,1/4-z'\r\n  '1/2-z,-x,1/2+y'\r\n  '1/2-y,-z,1/2+x'\r\n  '1/2-x,-y,1/2+z'\r\n  '1/2+z,1/2-x,-y'\r\n  '1/2+y,1/2-z,-x'\r\n  '1/2+x,1/2-y,-z'\r\n  '3/4+x,3/4-z,1/4+y'\r\n  '3/4+z,3/4-y,1/4+x'\r\n  '3/4+y,3/4-x,1/4+z'\r\n  '1/4+x,3/4+z,3/4-y'\r\n  '1/4+z,3/4+y,3/4-x'\r\n  '1/4+y,3/4+x,3/4-z'\r\n  'z,x,y'\r\n  'y,z,x'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\nGe1   0.12500   0.36300  -0.11300\r\nZn1   0.00800   0.00800   0.00800\r\nO1   0.13700   0.13700   0.38700\r\nO2   0.38700   0.38700   0.38700\r\n"
  },
  {
    "path": "pyxtal/database/cifs/P4nmm.vasp",
    "content": "Sn2 O2\n1.0\n3.802900 0.000000 0.000000\n0.000000 3.802900 0.000000\n0.000000 0.000000 4.838200\nSn O\n2 2\ndirect\n0.500000 0.000000 0.238300 Sn\n0.000000 0.500000 0.761700 Sn\n0.000000 0.000000 0.000000 O\n0.500000 0.500000 0.000000 O\n"
  },
  {
    "path": "pyxtal/database/cifs/P6_422.cif",
    "content": "data_global\r\n_chemical_name_mineral 'Eucryptite'\r\nloop_\r\n_publ_author_name\r\n'Pillars W W'\r\n'Peacor D R'\r\n_journal_name_full 'American Mineralogist'\r\n_journal_volume 58 \r\n_journal_year 1973\r\n_journal_page_first 681\r\n_journal_page_last 690\r\n_publ_section_title\r\n;\r\n The crystal structure of beta eucryptite as a function of temperature\r\n T = 484 C\r\n;\r\n_database_code_amcsd 0000380\r\n_chemical_formula_sum 'Si Al Li O4'\r\n_chemical_formula_sum ''\r\n_cell_length_a 5.251\r\n_cell_length_b 5.251\r\n_cell_length_c 11.192\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 120\r\n_cell_volume 267.253\r\n_exptl_crystal_density_diffrn      2.349\r\n_symmetry_space_group_name_H-M 'P 64 2 2'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  'x,x-y,2/3-z'\r\n  'x-y,x,2/3+z'\r\n  'y,x,1/3-z'\r\n  '-y,x-y,1/3+z'\r\n  '-x+y,y,-z'\r\n  '-x,-y,z'\r\n  '-x,-x+y,2/3-z'\r\n  '-x+y,-x,2/3+z'\r\n  '-y,-x,1/3-z'\r\n  'y,-x+y,1/3+z'\r\n  'x-y,-y,-z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\n_atom_site_U_iso_or_equiv\r\nSi   0.50000   0.00000   0.00000   0.01254\r\nAl   0.50000   0.00000   0.50000   0.01191\r\nLi   0.00000   0.00000   0.00000   0.08992\r\nO   0.21050   0.40460   0.74560   0.03040\r\n"
  },
  {
    "path": "pyxtal/database/cifs/PAHYON01.cif",
    "content": "####################################################################### \r\n# \r\n# This file contains crystal structure data downloaded from the \r\n# Cambridge Structural Database (CSD) hosted by the Cambridge \r\n# Crystallographic Data Centre (CCDC).\r\n# \r\n# Full information about CCDC data access policies and citation \r\n# guidelines are available at http://www.ccdc.cam.ac.uk/access/V1 \r\n# \r\n# Audit and citation data items may have been added by the CCDC. \r\n# Please retain this information to preserve the provenance of \r\n# this file and to allow appropriate attribution of the data. \r\n# \r\n#######################################################################\r\n\r\ndata_VIII\r\n_audit_block_doi                 10.5517/cc9lxpg\r\n_database_code_depnum_ccdc_archive 'CCDC 286306'\r\nloop_\r\n_citation_id\r\n_citation_doi\r\n_citation_year\r\n1 10.1107/S0108768105016563 2005\r\n_audit_update_record             \r\n;\r\n2005-10-12 deposited with the CCDC.\t2021-05-12 downloaded from the CCDC.\r\n;\r\n_audit_creation_method           CRYSTALS_ver_12-03-99\r\n\r\n_chemical_formula_moiety         ' C3 H4 N2 O2 '\r\n_chemical_formula_sum            ' C3 H4 N2 O2 '\r\n_chemical_formula_weight         100.08\r\n_symmetry_cell_setting           Monoclinic\r\n_symmetry_space_group_name_H-M   'C 1 2/c 1 '\r\nloop_\r\n_symmetry_equiv_pos_as_xyz\r\n\r\nx,y,z\r\n-x,-y,-z\r\nx+1/2,y+1/2,z\r\n-x+1/2,-y+1/2,-z\r\n-x,y,-z+1/2\r\nx,-y,z+1/2\r\n-x+1/2,y+1/2,-z+1/2\r\nx+1/2,-y+1/2,z+1/2\r\n\r\n\r\n_cell_length_a                   9.3538(7)\r\n\r\n_cell_length_b                   12.1757(11)\r\n\r\n_cell_length_c                   7.2286(6)\r\n\r\n_cell_angle_alpha                90\r\n\r\n_cell_angle_beta                 104.593(4)\r\n\r\n_cell_angle_gamma                90\r\n\r\n_cell_volume                     796.70(11)\r\n\r\n_cell_formula_units_Z            8\r\n\r\n_cell_measurement_reflns_used    730\r\n\r\n_cell_measurement_theta_min      5\r\n\r\n_cell_measurement_theta_max      27\r\n\r\n_cell_measurement_temperature    190\r\n\r\n_exptl_crystal_description       ' plate '\r\n\r\n_exptl_crystal_colour            ' colourless '\r\n\r\n_exptl_crystal_size_max          0.18\r\n\r\n_exptl_crystal_size_mid          0.10\r\n\r\n_exptl_crystal_size_min          0.02\r\n\r\n_exptl_crystal_density_diffrn    1.669\r\n\r\n_exptl_crystal_density_meas      ?\r\n\r\n_exptl_crystal_F_000             416.000\r\n\r\n_exptl_absorpt_coefficient_mu    0.142\r\n\r\n_exptl_absorpt_correction_type   multi-scan\r\n\r\n_exptl_absorpt_process_details   \r\n;\r\nDenzo/Scalepack (Otwinowski & Minor, 1996)\r\n;\r\n\r\n\r\n_exptl_absorpt_correction_T_min  0.99\r\n\r\n_exptl_absorpt_correction_T_max  1.00\r\n\r\n_diffrn_ambient_temperature      190\r\n\r\n_diffrn_radiation_type           'Mo K\\a'\r\n\r\n_diffrn_radiation_wavelength     0.71073\r\n\r\n_diffrn_radiation_monochromator  graphite\r\n\r\n_diffrn_measurement_device_type  \r\n;\r\nNonius Kappa CCD\r\n;\r\n\r\n\r\n_diffrn_measurement_method       \\w\r\n\r\n_diffrn_reflns_number            1593\r\n\r\n_diffrn_reflns_av_R_equivalents  0.02\r\n\r\n_diffrn_reflns_theta_min         5.506\r\n\r\n_diffrn_reflns_theta_max         27.442\r\n\r\n_diffrn_reflns_theta_full        21.679\r\n\r\n_diffrn_measured_fraction_theta_max 0.970\r\n\r\n_diffrn_measured_fraction_theta_full 0.979\r\n\r\n_diffrn_reflns_limit_h_min       -12\r\n\r\n_diffrn_reflns_limit_h_max       12\r\n\r\n_diffrn_reflns_limit_k_min       -14\r\n\r\n_diffrn_reflns_limit_k_max       15\r\n\r\n_diffrn_reflns_limit_l_min       -9\r\n\r\n_diffrn_reflns_limit_l_max       9\r\n\r\n_diffrn_standards_number         0\r\n\r\n_diffrn_standards_interval_count 0\r\n\r\n_diffrn_standards_interval_time  0\r\n\r\n_diffrn_standards_decay_%        0.00\r\n\r\n_reflns_number_total             886\r\n\r\n_reflns_number_gt                886\r\n\r\n_reflns_threshold_expression     I>-10.00u(I)\r\n\r\n_refine_ls_structure_factor_coef Fsqd\r\n\r\n_refine_ls_R_factor_all          0.0611\r\n\r\n_refine_ls_R_factor_gt           0.0611\r\n\r\n_refine_ls_wR_factor_all         0.1313\r\n\r\n_refine_ls_wR_factor_gt          0.1313\r\n\r\n_refine_ls_wR_factor_ref         0.1313\r\n\r\n_refine_ls_goodness_of_fit_ref   1.1316\r\n\r\n_refine_ls_number_reflns         886\r\n\r\n_refine_ls_number_parameters     77\r\n\r\n_refine_ls_number_restraints     0\r\n\r\n_refine_ls_weighting_scheme      calc\r\n\r\n_refine_ls_weighting_details     \r\n;\r\np=P(6)*max(Fo^2,0) + (1-P(6))Fc^2\r\nMethod = SHELXL 97 (Sheldrick, 1997)\r\nW = 1. / [Sigma^2(F*)+(P(1)p)^2+P(2)p+P(4)+P(5)Sin(theta) ]\r\nP(i) are:\r\n0.00 1.89 0.00 0.00 0.00 0.333\r\n;\r\n\r\n\r\n_refine_ls_shift/su_max          0.000095\r\n\r\n_refine_diff_density_max         0.27\r\n\r\n_refine_diff_density_min         -0.25\r\n\r\n_computing_data_collection       \r\n;\r\nCOLLECT (Nonius BV, 1997)\r\n;\r\n\r\n\r\n_computing_cell_refinement       \r\n;\r\nDenzo/Scalepack (Otwinowski & Minor, 1996)\r\n;\r\n\r\n\r\n_computing_data_reduction        \r\n;\r\nDenzo/Scalepack (Otwinowski & Minor, 1996)\r\n;\r\n\r\n\r\n_computing_structure_solution    \r\n;\r\nSIR92 (Altomare et al, 1994)\r\n;\r\n\r\n\r\n_computing_structure_refinement  \r\n;\r\nCRYSTALS (Watkin et al 2001)\r\n;\r\n\r\n\r\n_computing_molecular_graphics    \r\n;\r\nCAMERON (Watkin et al 1996)\r\n;\r\n\r\n\r\n_computing_publication_material  \r\n;\r\nCRYSTALS (Watkin et al 2001)\r\n;\r\n\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\n_atom_site_U_iso_or_equiv\r\n_atom_site_adp_type\r\n_atom_site_refinement_flags\r\n_atom_site_occupancy\r\n_atom_site_type_symbol\r\n\r\nC1 0.7974(3) 0.00484(19) 0.8218(3) 0.0271 Uani . 1.0000 C\r\nN2 0.6630(2) 0.01532(16) 0.6856(3) 0.0271 Uani . 1.0000 N\r\nC3 0.6326(3) 0.12247(19) 0.6338(3) 0.0280 Uani . 1.0000 C\r\nC4 0.7522(3) 0.1883(2) 0.7508(4) 0.0326 Uani . 1.0000 C\r\nN5 0.8510(3) 0.10869(19) 0.8685(3) 0.0374 Uani . 1.0000 N\r\nO6 0.5237(2) 0.15458(14) 0.5136(3) 0.0376 Uani . 1.0000 O\r\nO7 0.8518(2) -0.08264(14) 0.8866(3) 0.0366 Uani . 1.0000 O\r\nH41 0.802(3) 0.224(3) 0.685(5) 0.0388 Uiso . 1.0000 H\r\nH42 0.723(3) 0.236(3) 0.815(5) 0.0388 Uiso . 1.0000 H\r\nH51 0.943(3) 0.119(2) 0.959(4) 0.0309 Uiso . 1.0000 H\r\nH2 0.610(4) -0.038(3) 0.623(5) 0.0500 Uiso . 1.0000 H\r\n\r\nloop_\r\n_atom_site_aniso_label\r\n_atom_site_aniso_U_11\r\n_atom_site_aniso_U_22\r\n_atom_site_aniso_U_33\r\n_atom_site_aniso_U_12\r\n_atom_site_aniso_U_13\r\n_atom_site_aniso_U_23\r\n\r\nC1 0.0268(12) 0.0249(11) 0.0285(11) -0.0012(9) 0.0050(9) 0.0002(9)\r\nN2 0.0270(10) 0.0198(9) 0.0303(11) -0.0027(7) -0.0006(8) -0.0005(7)\r\nC3 0.0328(12) 0.0236(11) 0.0255(12) -0.0033(9) 0.0035(9) 0.0005(8)\r\nC4 0.0474(15) 0.0179(11) 0.0314(13) -0.0030(10) 0.0077(11) 0.0001(9)\r\nN5 0.0327(12) 0.0373(12) 0.0362(13) -0.0040(10) -0.0030(10) -0.0052(9)\r\nO6 0.0437(11) 0.0257(9) 0.0350(10) 0.0016(7) -0.0063(8) 0.0020(7)\r\nO7 0.0360(10) 0.0262(9) 0.0417(11) 0.0036(7) -0.0009(8) 0.0020(7)\r\n"
  },
  {
    "path": "pyxtal/database/cifs/PPO.cif",
    "content": "# generated using pymatgen\ndata_P2Pb3O8\n_symmetry_space_group_name_H-M   C2/c\n_cell_length_a   11.17927600\n_cell_length_b   8.89390600\n_cell_length_c   9.02647447\n_cell_angle_alpha   90.00000000\n_cell_angle_beta   113.30179428\n_cell_angle_gamma   90.00000000\n_symmetry_Int_Tables_number   15\n_chemical_formula_structural   P2Pb3O8\n_chemical_formula_sum   'P8 Pb12 O32'\n_cell_volume   824.27536727\n_cell_formula_units_Z   4\nloop_\n _symmetry_equiv_pos_site_id\n _symmetry_equiv_pos_as_xyz\n  1  'x, y, z'\n  2  '-x, -y, -z'\n  3  '-x, y, -z+1/2'\n  4  'x, -y, z+1/2'\n  5  'x+1/2, y+1/2, z'\n  6  '-x+1/2, -y+1/2, -z'\n  7  '-x+1/2, y+1/2, -z+1/2'\n  8  'x+1/2, -y+1/2, z+1/2'\nloop_\n _atom_site_type_symbol\n _atom_site_label\n _atom_site_symmetry_multiplicity\n _atom_site_fract_x\n _atom_site_fract_y\n _atom_site_fract_z\n _atom_site_occupancy\n  P  P0  8  0.21193100  0.29718100  0.69853800  1\n  Pb  Pb1  8  0.14950100  0.04598000  0.93976800  1\n  Pb  Pb2  4  0.00000000  0.41342300  0.25000000  1\n  O  O3  8  0.13607100  0.20005600  0.23768800  1\n  O  O4  8  0.15506150  0.13874650  0.64268300  1\n  O  O5  8  0.15805250  0.41685050  0.56066500  1\n  O  O6  8  0.17199950  0.34300750  0.84093300  1\n"
  },
  {
    "path": "pyxtal/database/cifs/PVO.cif",
    "content": "# generated using pymatgen\ndata_V2Pb3O8\n_symmetry_space_group_name_H-M   P2_1/c\n_cell_length_a   7.50825400\n_cell_length_b   6.57058900\n_cell_length_c   9.53470756\n_cell_angle_alpha   90.00000000\n_cell_angle_beta   114.52196743\n_cell_angle_gamma   90.00000000\n_symmetry_Int_Tables_number   14\n_chemical_formula_structural   V2Pb3O8\n_chemical_formula_sum   'V4 Pb6 O16'\n_cell_volume   427.95452489\n_cell_formula_units_Z   2\nloop_\n _symmetry_equiv_pos_site_id\n _symmetry_equiv_pos_as_xyz\n  1  'x, y, z'\n  2  '-x, -y, -z'\n  3  '-x, y+1/2, -z+1/2'\n  4  'x, -y+1/2, z+1/2'\nloop_\n _atom_site_type_symbol\n _atom_site_label\n _atom_site_symmetry_multiplicity\n _atom_site_fract_x\n _atom_site_fract_y\n _atom_site_fract_z\n _atom_site_occupancy\n  V  V0  4  0.19933300  0.01873300  0.40018100  1\n  Pb  Pb1  4  0.38511500  0.61186200  0.28659500  1\n  Pb  Pb2  2  0.00000000  0.00000000  0.00000000  1\n  O  O3  4  0.04244300  0.53952400  0.22925200  1\n  O  O4  4  0.24199400  0.69777500  0.02067900  1\n  O  O5  4  0.27174300  0.23401600  0.51446600  1\n  O  O6  4  0.32793500  0.52516900  0.78339300  1\n"
  },
  {
    "path": "pyxtal/database/cifs/Pm3.cif",
    "content": "data_global\r\n_amcsd_formula_title 'Hg N3 O6 Rb'\r\nloop_\r\n_publ_author_name\r\n'Ferrari A'\r\n'Colla C'\r\n_journal_name_full 'Gazzetta Chimica Italiana'\r\n_journal_volume 65 \r\n_journal_year 1935\r\n_journal_page_first 789\r\n_journal_page_last 797\r\n_publ_section_title\r\n;\r\n Mercurinitriti di metalli monovalenti\r\n _cod_database_code 1010349\r\n;\r\n_database_code_amcsd 0017275\r\n_chemical_formula_sum 'Rb Hg N3 O6'\r\n_chemical_formula_sum ''\r\n_cell_length_a 5.45\r\n_cell_length_b 5.45\r\n_cell_length_c 5.45\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 90\r\n_cell_volume 161.879\r\n_exptl_crystal_density_diffrn      4.350\r\n_symmetry_space_group_name_H-M 'P m 3'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  'z,x,-y'\r\n  'z,-x,y'\r\n  '-z,x,y'\r\n  '-z,-x,-y'\r\n  'y,-z,-x'\r\n  '-y,-z,x'\r\n  '-y,z,-x'\r\n  'y,z,x'\r\n  'x,-y,z'\r\n  '-x,y,z'\r\n  'x,y,-z'\r\n  '-x,-y,-z'\r\n  '-z,-x,y'\r\n  '-z,x,-y'\r\n  'z,-x,-y'\r\n  'z,x,y'\r\n  '-y,z,x'\r\n  'y,z,-x'\r\n  'y,-z,x'\r\n  '-y,-z,-x'\r\n  '-x,y,-z'\r\n  'x,-y,-z'\r\n  '-x,-y,z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\nRb1   0.00000   0.00000   0.00000\r\nHg1   0.50000   0.50000   0.50000\r\nN1   0.00000   0.50000   0.50000\r\nO1   0.00000   0.24000   0.50000\r\n"
  },
  {
    "path": "pyxtal/database/cifs/Pmmn.vasp",
    "content": "Cu2 Te2\n1.0\n3.100000 0.000000 0.000000\n0.000000 4.020000 0.000000\n0.000000 0.000000 6.860000\nCu Te\n2 2\ndirect\n0.000000 0.500000 0.449000 Cu\n0.500000 0.000000 0.551000 Cu\n0.000000 0.000000 0.223000 Te\n0.500000 0.500000 0.777000 Te\n"
  },
  {
    "path": "pyxtal/database/cifs/Pn3.vasp",
    "content": "Cu4 O2\n1.0\n4.269600 0.000000 0.000000\n0.000000 4.269600 0.000000\n0.000000 0.000000 4.269600\nCu O\n4 2\ndirect\n0.250000 0.250000 0.250000 Cu\n0.750000 0.750000 0.250000 Cu\n0.750000 0.250000 0.750000 Cu\n0.250000 0.750000 0.750000 Cu\n0.000000 0.000000 0.000000 O\n0.500000 0.500000 0.500000 O\n"
  },
  {
    "path": "pyxtal/database/cifs/Pn3m.vasp",
    "content": "Cu4 O2\n1.0\n4.268500 0.000000 0.000000\n0.000000 4.268500 0.000000\n0.000000 0.000000 4.268500\nCu O\n4 2\ndirect\n0.250000 0.250000 0.250000 Cu\n0.750000 0.250000 0.750000 Cu\n0.250000 0.750000 0.750000 Cu\n0.750000 0.750000 0.250000 Cu\n0.000000 0.000000 0.000000 O\n0.500000 0.500000 0.500000 O\n"
  },
  {
    "path": "pyxtal/database/cifs/R-3.cif",
    "content": "data_global\r\n_chemical_name_mineral 'Akimotoite'\r\nloop_\r\n_publ_author_name\r\n'Horiuchi H'\r\n'Hirano M'\r\n'Ito E'\r\n'Matsui Y'\r\n_journal_name_full 'American Mineralogist'\r\n_journal_volume 67 \r\n_journal_year 1982\r\n_journal_page_first 788\r\n_journal_page_last 793\r\n_publ_section_title\r\n;\r\n MgSiO3 (ilmenite-type): Single crystal X-ray diffraction study\r\n;\r\n_database_code_amcsd 0000870\r\n_chemical_formula_sum 'Si Mg O3'\r\n_chemical_formula_sum ''\r\n_cell_length_a 4.7284\r\n_cell_length_b 4.7284\r\n_cell_length_c 13.5591\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 120\r\n_cell_volume 262.537\r\n_exptl_crystal_density_diffrn      3.810\r\n_symmetry_space_group_name_H-M 'R -3'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  '2/3+x,1/3+y,1/3+z'\r\n  '1/3+x,2/3+y,2/3+z'\r\n  'y,-x+y,-z'\r\n  '2/3+y,1/3-x+y,1/3-z'\r\n  '1/3+y,2/3-x+y,2/3-z'\r\n  '-x+y,-x,z'\r\n  '2/3-x+y,1/3-x,1/3+z'\r\n  '1/3-x+y,2/3-x,2/3+z'\r\n  '-x,-y,-z'\r\n  '2/3-x,1/3-y,1/3-z'\r\n  '1/3-x,2/3-y,2/3-z'\r\n  '-y,x-y,z'\r\n  '2/3-y,1/3+x-y,1/3+z'\r\n  '1/3-y,2/3+x-y,2/3+z'\r\n  'x-y,x,-z'\r\n  '2/3+x-y,1/3+x,1/3-z'\r\n  '1/3+x-y,2/3+x,2/3-z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\nSi   0.00000   0.00000   0.15768\r\nMg   0.00000   0.00000   0.35970\r\nO   0.32140   0.03610   0.24077\r\nloop_\r\n_atom_site_aniso_label\r\n_atom_site_aniso_U_11\r\n_atom_site_aniso_U_22\r\n_atom_site_aniso_U_33\r\n_atom_site_aniso_U_12\r\n_atom_site_aniso_U_13\r\n_atom_site_aniso_U_23\r\nSi 0.00535 0.00535 0.00531 0.00268 0.00000 0.00000\r\nMg 0.00849 0.00849 0.00550 0.00425 0.00000 0.00000\r\nO 0.00578 0.00510 0.00745 0.00289 -0.00028 0.00028\r\n"
  },
  {
    "path": "pyxtal/database/cifs/R-3c.cif",
    "content": "data_global\r\n_chemical_name_mineral 'Hematite'\r\nloop_\r\n_publ_author_name\r\n'Blake R L'\r\n'Hessevick R E'\r\n'Zoltai T'\r\n'Finger L W'\r\n_journal_name_full 'American Mineralogist'\r\n_journal_volume 51 \r\n_journal_year 1966\r\n_journal_page_first 123\r\n_journal_page_last 129\r\n_publ_section_title\r\n;\r\n Refinement of the hematite structure\r\n;\r\n_database_code_amcsd 0000143\r\n_chemical_compound_source 'Elba, Italy'\r\n_chemical_formula_sum 'Fe2 O3'\r\n_chemical_formula_sum ''\r\n_cell_length_a 5.038\r\n_cell_length_b 5.038\r\n_cell_length_c 13.772\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 120\r\n_cell_volume 302.722\r\n_exptl_crystal_density_diffrn      5.256\r\n_symmetry_space_group_name_H-M 'R -3 c'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  '2/3+x,1/3+y,1/3+z'\r\n  '1/3+x,2/3+y,2/3+z'\r\n  'x,x-y,1/2+z'\r\n  '2/3+x,1/3+x-y,5/6+z'\r\n  '1/3+x,2/3+x-y,1/6+z'\r\n  'y,x,1/2-z'\r\n  '2/3+y,1/3+x,5/6-z'\r\n  '1/3+y,2/3+x,1/6-z'\r\n  '-x+y,y,1/2+z'\r\n  '2/3-x+y,1/3+y,5/6+z'\r\n  '1/3-x+y,2/3+y,1/6+z'\r\n  '-x,-x+y,1/2-z'\r\n  '2/3-x,1/3-x+y,5/6-z'\r\n  '1/3-x,2/3-x+y,1/6-z'\r\n  '-y,-x,1/2+z'\r\n  '2/3-y,1/3-x,5/6+z'\r\n  '1/3-y,2/3-x,1/6+z'\r\n  'x-y,-y,1/2-z'\r\n  '2/3+x-y,1/3-y,5/6-z'\r\n  '1/3+x-y,2/3-y,1/6-z'\r\n  'y,-x+y,-z'\r\n  '2/3+y,1/3-x+y,1/3-z'\r\n  '1/3+y,2/3-x+y,2/3-z'\r\n  '-x+y,-x,z'\r\n  '2/3-x+y,1/3-x,1/3+z'\r\n  '1/3-x+y,2/3-x,2/3+z'\r\n  '-x,-y,-z'\r\n  '2/3-x,1/3-y,1/3-z'\r\n  '1/3-x,2/3-y,2/3-z'\r\n  '-y,x-y,z'\r\n  '2/3-y,1/3+x-y,1/3+z'\r\n  '1/3-y,2/3+x-y,2/3+z'\r\n  'x-y,x,-z'\r\n  '2/3+x-y,1/3+x,1/3-z'\r\n  '1/3+x-y,2/3+x,2/3-z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\nFe   0.00000   0.00000   0.35530\r\nO   0.30590   0.00000   0.25000\r\nloop_\r\n_atom_site_aniso_label\r\n_atom_site_aniso_U_11\r\n_atom_site_aniso_U_22\r\n_atom_site_aniso_U_33\r\n_atom_site_aniso_U_12\r\n_atom_site_aniso_U_13\r\n_atom_site_aniso_U_23\r\nFe 0.00772 0.00772 0.00279 0.00386 0.00000 0.00000\r\nO 0.00656 0.00800 0.00442 0.00405 0.00177 0.00365\r\n"
  },
  {
    "path": "pyxtal/database/cifs/R32.cif",
    "content": "data_global\r\n_chemical_name_mineral 'Heazlewoodite'\r\nloop_\r\n_publ_author_name\r\n'Fleet M E'\r\n_journal_name_full 'American Mineralogist'\r\n_journal_volume 62 \r\n_journal_year 1977\r\n_journal_page_first 341\r\n_journal_page_last 345\r\n_publ_section_title\r\n;\r\n The crystal structure of heazlewoodite, and metallic bonds in sulfide minerals\r\n;\r\n_database_code_amcsd 0000575\r\n_chemical_formula_sum 'Ni3 S2'\r\n_chemical_formula_sum ''\r\n_cell_length_a 4.0821\r\n_cell_length_b 4.0821\r\n_cell_length_c 4.0821\r\n_cell_angle_alpha 89.475\r\n_cell_angle_beta 89.475\r\n_cell_angle_gamma 89.475\r\n_cell_volume 68.014\r\n_exptl_crystal_density_diffrn      5.864\r\n_symmetry_space_group_name_H-M 'R 3 2'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  '-x,-z,-y'\r\n  'z,x,y'\r\n  '-y,-x,-z'\r\n  'y,z,x'\r\n  '-z,-y,-x'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\n_atom_site_U_iso_or_equiv\r\nNi   0.50000   0.24700  -0.24700   0.01431\r\nS   0.25500   0.25500   0.25500   0.00063\r\n"
  },
  {
    "path": "pyxtal/database/cifs/TMPPIO03.cif",
    "content": "####################################################################### \r\n# \r\n# This file contains crystal structure data downloaded from the \r\n# Cambridge Structural Database (CSD) hosted by the Cambridge \r\n# Crystallographic Data Centre (CCDC).\r\n# \r\n# Full information about CCDC data access policies and citation \r\n# guidelines are available at http://www.ccdc.cam.ac.uk/access/V1 \r\n# \r\n# Audit and citation data items may have been added by the CCDC. \r\n# Please retain this information to preserve the provenance of \r\n# this file and to allow appropriate attribution of the data. \r\n# \r\n#######################################################################\r\n\r\ndata_TMPPIO03\r\n#This CIF has been generated from an entry in the Cambridge Structural Database\r\n_database_code_depnum_ccdc_archive 'CCDC 1272628'\r\n_database_code_CSD               TMPPIO03\r\nloop_\r\n_citation_id\r\n_citation_doi\r\n_citation_year\r\n1 10.1107/S0567740881006560 1981\r\n_audit_creation_method           'Created from the CSD'\r\n_audit_update_record             \r\n;\r\n2021-07-03 downloaded from the CCDC.\r\n;\r\n_database_code_NBS               538265\r\n_chemical_name_common            Tanane\r\n_chemical_formula_moiety         'C9 H18 N1 O1'\r\n_chemical_name_systematic        '2,2,6,6-Tetramethylpiperidine-1-oxyl radical'\r\n_chemical_absolute_configuration unk\r\n_diffrn_ambient_temperature      295\r\n_exptl_crystal_density_diffrn    1.052\r\n#These two values have been output from a single CSD field.\r\n_refine_ls_R_factor_gt           0.06\r\n_refine_ls_wR_factor_gt          0.06\r\n_diffrn_radiation_probe          neutron\r\n_diffrn_source                   'neutron radiation'\r\n_symmetry_cell_setting           orthorhombic\r\n_symmetry_space_group_name_H-M   'F d d 2'\r\n_symmetry_Int_Tables_number      43\r\n_space_group_name_Hall           'F 2 -2d'\r\nloop_\r\n_symmetry_equiv_pos_site_id\r\n_symmetry_equiv_pos_as_xyz\r\n1 x,y,z\r\n2 x,1/2+y,1/2+z\r\n3 1/2+x,y,1/2+z\r\n4 1/2+x,1/2+y,z\r\n5 1/4-x,1/4+y,1/4+z\r\n6 1/4-x,3/4+y,3/4+z\r\n7 3/4-x,1/4+y,3/4+z\r\n8 3/4-x,3/4+y,1/4+z\r\n9 1/4+x,1/4-y,1/4+z\r\n10 1/4+x,3/4-y,3/4+z\r\n11 3/4+x,1/4-y,3/4+z\r\n12 3/4+x,3/4-y,1/4+z\r\n13 1/2-x,-y,1/2+z\r\n14 1/2-x,1/2-y,z\r\n15 -x,-y,z\r\n16 -x,1/2-y,1/2+z\r\n_cell_length_a                   22.64(2)\r\n_cell_length_b                   21.71(2)\r\n_cell_length_c                   8.030(6)\r\n_cell_angle_alpha                90\r\n_cell_angle_beta                 90\r\n_cell_angle_gamma                90\r\n_cell_volume                     3946.86\r\n_cell_formula_units_Z            16\r\nloop_\r\n_atom_site_label\r\n_atom_site_type_symbol\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\nN1 N 0.38150 -0.12710 -0.17690\r\nO1 O 0.33930 -0.08920 -0.15820\r\nC1 C 0.37200 -0.17830 -0.29950\r\nC2 C 0.43130 -0.20540 -0.34740\r\nC3 C 0.46970 -0.22160 -0.19690\r\nC4 C 0.48310 -0.15940 -0.10980\r\nC5 C 0.42790 -0.12770 -0.04670\r\nC6 C 0.34120 -0.15160 -0.45060\r\nC7 C 0.33060 -0.22650 -0.21820\r\nC8 C 0.44240 -0.06030 -0.00250\r\nC9 C 0.40310 -0.16240 0.10390\r\nH1 H 0.45390 -0.17630 -0.42340\r\nH2 H 0.42050 -0.24860 -0.41330\r\nH3 H 0.45260 -0.25260 -0.11760\r\nH4 H 0.50940 -0.23510 -0.24180\r\nH5 H 0.51080 -0.16750 -0.00320\r\nH6 H 0.50360 -0.13060 -0.19040\r\nH7 H 0.36580 -0.11570 -0.50650\r\nH8 H 0.29920 -0.13450 -0.41930\r\nH9 H 0.33900 -0.18510 -0.54290\r\nH10 H 0.31650 -0.25630 -0.31730\r\nH11 H 0.35300 -0.25160 -0.12490\r\nH12 H 0.29180 -0.20280 -0.18090\r\nH13 H 0.45350 -0.03810 -0.11170\r\nH14 H 0.40330 -0.03880 0.05540\r\nH15 H 0.47770 -0.06040 0.08010\r\nH16 H 0.36170 -0.13870 0.14130\r\nH17 H 0.39870 -0.20210 0.09100\r\nH18 H 0.43030 -0.15330 0.20690\r\n\r\n#END\r\n"
  },
  {
    "path": "pyxtal/database/cifs/WEXBOS.cif",
    "content": "####################################################################### \r\n# \r\n# This file contains crystal structure data downloaded from the \r\n# Cambridge Structural Database (CSD) hosted by the Cambridge \r\n# Crystallographic Data Centre (CCDC).\r\n# \r\n# Full information about CCDC data access policies and citation \r\n# guidelines are available at http://www.ccdc.cam.ac.uk/access/V1 \r\n# \r\n# Audit and citation data items may have been added by the CCDC. \r\n# Please retain this information to preserve the provenance of \r\n# this file and to allow appropriate attribution of the data. \r\n# \r\n#######################################################################\r\n\r\ndata_r080122c\r\n_audit_block_doi                 10.5517/ccthsqs\r\n_database_code_depnum_ccdc_archive 'CCDC 759956'\r\nloop_\r\n_citation_id\r\n_citation_doi\r\n_citation_year\r\n1 10.1039/C3NJ40909K 2013\r\n_audit_update_record             \r\n;\r\n2009-12-30 deposited with the CCDC.\t2020-08-10 downloaded from the CCDC.\r\n;\r\n#TrackingRef '3.cif'\r\n\r\n\r\n_audit_creation_method           SHELXL-97\r\n_chemical_name_systematic        \r\n;\r\n?\r\n;\r\n_chemical_name_common            ?\r\n_chemical_melting_point          ?\r\n_chemical_formula_moiety         ?\r\n_chemical_formula_sum            'C30 H20 S2'\r\n_chemical_formula_weight         444.58\r\n\r\nloop_\r\n_atom_type_symbol\r\n_atom_type_description\r\n_atom_type_scat_dispersion_real\r\n_atom_type_scat_dispersion_imag\r\n_atom_type_scat_source\r\nC C 0.0033 0.0016 'International Tables Vol C Tables 4.2.6.8 and 6.1.1.4'\r\nH H 0.0000 0.0000 'International Tables Vol C Tables 4.2.6.8 and 6.1.1.4'\r\nS S 0.1246 0.1234 'International Tables Vol C Tables 4.2.6.8 and 6.1.1.4'\r\n\r\n_symmetry_cell_setting           Monoclinic\r\n_symmetry_space_group_name_H-M   P2(1)/c\r\n\r\nloop_\r\n_symmetry_equiv_pos_as_xyz\r\n'x, y, z'\r\n'-x, y+1/2, -z+1/2'\r\n'-x, -y, -z'\r\n'x, -y-1/2, z-1/2'\r\n\r\n_cell_length_a                   6.1134(12)\r\n_cell_length_b                   12.529(3)\r\n_cell_length_c                   14.622(3)\r\n_cell_angle_alpha                90.00\r\n_cell_angle_beta                 92.51(3)\r\n_cell_angle_gamma                90.00\r\n_cell_volume                     1118.9(4)\r\n_cell_formula_units_Z            2\r\n_cell_measurement_temperature    113(2)\r\n_cell_measurement_reflns_used    3173\r\n_cell_measurement_theta_min      3.228\r\n_cell_measurement_theta_max      27.876\r\n\r\n_exptl_crystal_description       ?\r\n_exptl_crystal_colour            ?\r\n_exptl_crystal_size_max          0.12\r\n_exptl_crystal_size_mid          0.10\r\n_exptl_crystal_size_min          0.06\r\n_exptl_crystal_density_meas      ?\r\n_exptl_crystal_density_diffrn    1.320\r\n_exptl_crystal_density_method    'not measured'\r\n_exptl_crystal_F_000             464\r\n_exptl_absorpt_coefficient_mu    0.254\r\n_exptl_absorpt_correction_type   MULTI-SCAN\r\n_exptl_absorpt_correction_T_min  0.9702\r\n_exptl_absorpt_correction_T_max  0.9849\r\n_exptl_absorpt_process_details   crystalclear\r\n\r\n_exptl_special_details           \r\n;\r\n?\r\n;\r\n\r\n_diffrn_ambient_temperature      113(2)\r\n_diffrn_radiation_wavelength     0.71073\r\n_diffrn_radiation_type           MoK\\a\r\n_diffrn_radiation_source         'rotating anode'\r\n_diffrn_radiation_monochromator  confocal\r\n_diffrn_measurement_device_type  'rigaku saturn'\r\n_diffrn_measurement_method       '\\w scans'\r\n_diffrn_detector_area_resol_mean ?\r\n_diffrn_standards_number         0\r\n_diffrn_standards_interval_count 0\r\n_diffrn_standards_interval_time  0\r\n_diffrn_standards_decay_%        0\r\n_diffrn_reflns_number            11099\r\n_diffrn_reflns_av_R_equivalents  0.0382\r\n_diffrn_reflns_av_sigmaI/netI    0.0251\r\n_diffrn_reflns_limit_h_min       -7\r\n_diffrn_reflns_limit_h_max       7\r\n_diffrn_reflns_limit_k_min       -14\r\n_diffrn_reflns_limit_k_max       14\r\n_diffrn_reflns_limit_l_min       -17\r\n_diffrn_reflns_limit_l_max       17\r\n_diffrn_reflns_theta_min         3.23\r\n_diffrn_reflns_theta_max         25.02\r\n_reflns_number_total             1971\r\n_reflns_number_gt                1790\r\n_reflns_threshold_expression     >2sigma(I)\r\n\r\n_computing_data_collection       crystalclear\r\n_computing_cell_refinement       crystalclear\r\n_computing_data_reduction        crystalclear\r\n_computing_structure_solution    'SHELXS-97 (Sheldrick, 1990)'\r\n_computing_structure_refinement  'SHELXL-97 (Sheldrick, 1997)'\r\n_computing_molecular_graphics    'Bruker SHELXTL'\r\n_computing_publication_material  'Bruker SHELXTL'\r\n\r\n_refine_special_details          \r\n;\r\nRefinement of F^2^ against ALL reflections. The weighted R-factor wR and\r\ngoodness of fit S are based on F^2^, conventional R-factors R are based\r\non F, with F set to zero for negative F^2^. The threshold expression of\r\nF^2^ > 2sigma(F^2^) is used only for calculating R-factors(gt) etc. and is\r\nnot relevant to the choice of reflections for refinement. R-factors based\r\non F^2^ are statistically about twice as large as those based on F, and R-\r\nfactors based on ALL data will be even larger.\r\n;\r\n\r\n_refine_ls_structure_factor_coef Fsqd\r\n_refine_ls_matrix_type           full\r\n_refine_ls_weighting_scheme      calc\r\n_refine_ls_weighting_details     \r\n'calc w=1/[\\s^2^(Fo^2^)+(0.0608P)^2^+0.8557P] where P=(Fo^2^+2Fc^2^)/3'\r\n_atom_sites_solution_primary     direct\r\n_atom_sites_solution_secondary   difmap\r\n_atom_sites_solution_hydrogens   geom\r\n_refine_ls_hydrogen_treatment    CONSTR\r\n_refine_ls_extinction_method     none\r\n_refine_ls_extinction_coef       ?\r\n_refine_ls_number_reflns         1971\r\n_refine_ls_number_parameters     145\r\n_refine_ls_number_restraints     0\r\n_refine_ls_R_factor_all          0.0481\r\n_refine_ls_R_factor_gt           0.0444\r\n_refine_ls_wR_factor_ref         0.1179\r\n_refine_ls_wR_factor_gt          0.1151\r\n_refine_ls_goodness_of_fit_ref   1.103\r\n_refine_ls_restrained_S_all      1.103\r\n_refine_ls_shift/su_max          0.000\r\n_refine_ls_shift/su_mean         0.000\r\n\r\nloop_\r\n_atom_site_label\r\n_atom_site_type_symbol\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\n_atom_site_U_iso_or_equiv\r\n_atom_site_adp_type\r\n_atom_site_occupancy\r\n_atom_site_symmetry_multiplicity\r\n_atom_site_calc_flag\r\n_atom_site_refinement_flags\r\n_atom_site_disorder_assembly\r\n_atom_site_disorder_group\r\nS1 S 0.22534(8) 0.53581(4) 0.40313(3) 0.0216(2) Uani 1 1 d . . .\r\nC1 C 0.2657(3) 0.40127(16) 0.43257(14) 0.0207(5) Uani 1 1 d . . .\r\nC2 C 0.4304(3) 0.34219(17) 0.38299(13) 0.0215(5) Uani 1 1 d . . .\r\nC3 C 0.6212(3) 0.39254(18) 0.35633(14) 0.0232(5) Uani 1 1 d . . .\r\nH3 H 0.6457 0.4635 0.3723 0.028 Uiso 1 1 calc R . .\r\nC4 C 0.7740(4) 0.33929(19) 0.30674(14) 0.0277(5) Uani 1 1 d . . .\r\nH4 H 0.9004 0.3742 0.2899 0.033 Uiso 1 1 calc R . .\r\nC5 C 0.7388(4) 0.23372(19) 0.28209(15) 0.0310(5) Uani 1 1 d . . .\r\nH5 H 0.8413 0.1974 0.2487 0.037 Uiso 1 1 calc R . .\r\nC6 C 0.5497(4) 0.18253(18) 0.30750(15) 0.0297(5) Uani 1 1 d . . .\r\nH6 H 0.5262 0.1116 0.2909 0.036 Uiso 1 1 calc R . .\r\nC7 C 0.3956(4) 0.23536(17) 0.35712(15) 0.0256(5) Uani 1 1 d . . .\r\nH7 H 0.2691 0.2002 0.3733 0.031 Uiso 1 1 calc R . .\r\nC8 C 0.1249(3) 0.36778(16) 0.49696(14) 0.0194(4) Uani 1 1 d . . .\r\nC9 C 0.1156(3) 0.25999(16) 0.53958(13) 0.0208(5) Uani 1 1 d . . .\r\nC10 C 0.2961(4) 0.21768(18) 0.58838(14) 0.0256(5) Uani 1 1 d . . .\r\nH10 H 0.4259 0.2564 0.5934 0.031 Uiso 1 1 calc R . .\r\nC11 C 0.2837(4) 0.11852(19) 0.62939(15) 0.0302(5) Uani 1 1 d . . .\r\nH11 H 0.4047 0.0913 0.6624 0.036 Uiso 1 1 calc R . .\r\nC12 C 0.0938(4) 0.05990(18) 0.62164(16) 0.0307(5) Uani 1 1 d . . .\r\nH12 H 0.0870 -0.0073 0.6484 0.037 Uiso 1 1 calc R . .\r\nC13 C -0.0885(4) 0.10163(18) 0.57352(15) 0.0279(5) Uani 1 1 d . . .\r\nH13 H -0.2178 0.0625 0.5686 0.034 Uiso 1 1 calc R . .\r\nC14 C -0.0777(3) 0.20061(17) 0.53320(14) 0.0237(5) Uani 1 1 d . . .\r\nH14 H -0.2002 0.2282 0.5014 0.028 Uiso 1 1 calc R . .\r\nC15 C 0.0176(3) 0.54750(16) 0.47789(14) 0.0204(5) Uani 1 1 d . . .\r\n\r\nloop_\r\n_atom_site_aniso_label\r\n_atom_site_aniso_U_11\r\n_atom_site_aniso_U_22\r\n_atom_site_aniso_U_33\r\n_atom_site_aniso_U_23\r\n_atom_site_aniso_U_13\r\n_atom_site_aniso_U_12\r\nS1 0.0254(3) 0.0195(3) 0.0202(3) 0.00227(19) 0.0029(2) 0.0018(2)\r\nC1 0.0244(11) 0.0188(10) 0.0185(10) 0.0013(8) -0.0020(8) 0.0011(8)\r\nC2 0.0260(11) 0.0232(11) 0.0150(10) 0.0015(8) -0.0037(8) 0.0063(9)\r\nC3 0.0260(11) 0.0250(11) 0.0179(10) 0.0017(8) -0.0040(8) 0.0003(9)\r\nC4 0.0249(11) 0.0378(13) 0.0202(11) 0.0017(9) -0.0011(9) 0.0026(10)\r\nC5 0.0325(13) 0.0377(13) 0.0227(11) -0.0050(10) 0.0002(9) 0.0090(10)\r\nC6 0.0400(13) 0.0234(12) 0.0252(12) -0.0050(9) -0.0028(10) 0.0069(10)\r\nC7 0.0292(12) 0.0234(11) 0.0237(11) 0.0000(9) -0.0033(9) 0.0014(9)\r\nC8 0.0221(10) 0.0158(10) 0.0196(10) -0.0030(8) -0.0054(8) 0.0036(8)\r\nC9 0.0262(11) 0.0196(10) 0.0168(10) -0.0024(8) 0.0017(8) 0.0038(8)\r\nC10 0.0279(11) 0.0245(12) 0.0240(11) 0.0000(9) -0.0035(9) 0.0035(9)\r\nC11 0.0340(13) 0.0308(13) 0.0250(12) 0.0015(10) -0.0052(9) 0.0093(10)\r\nC12 0.0443(14) 0.0222(11) 0.0259(12) 0.0028(9) 0.0053(10) 0.0072(10)\r\nC13 0.0302(12) 0.0258(12) 0.0283(12) -0.0039(9) 0.0060(9) -0.0022(9)\r\nC14 0.0259(11) 0.0222(11) 0.0230(11) -0.0010(9) 0.0005(9) 0.0049(9)\r\nC15 0.0226(11) 0.0211(10) 0.0175(10) 0.0004(8) -0.0003(8) 0.0006(8)\r\n\r\n_geom_special_details            \r\n;\r\nAll esds (except the esd in the dihedral angle between two l.s. planes)\r\nare estimated using the full covariance matrix. The cell esds are taken\r\ninto account individually in the estimation of esds in distances, angles\r\nand torsion angles; correlations between esds in cell parameters are only\r\nused when they are defined by crystal symmetry. An approximate (isotropic)\r\ntreatment of cell esds is used for estimating esds involving l.s. planes.\r\n;\r\n\r\nloop_\r\n_geom_bond_atom_site_label_1\r\n_geom_bond_atom_site_label_2\r\n_geom_bond_distance\r\n_geom_bond_site_symmetry_2\r\n_geom_bond_publ_flag\r\nS1 C15 1.718(2) . ?\r\nS1 C1 1.755(2) . ?\r\nC1 C8 1.369(3) . ?\r\nC1 C2 1.467(3) . ?\r\nC2 C3 1.396(3) . ?\r\nC2 C7 1.405(3) . ?\r\nC3 C4 1.380(3) . ?\r\nC3 H3 0.9300 . ?\r\nC4 C5 1.385(3) . ?\r\nC4 H4 0.9300 . ?\r\nC5 C6 1.387(3) . ?\r\nC5 H5 0.9300 . ?\r\nC6 C7 1.383(3) . ?\r\nC6 H6 0.9300 . ?\r\nC7 H7 0.9300 . ?\r\nC8 C15 1.432(3) 3_566 ?\r\nC8 C9 1.490(3) . ?\r\nC9 C10 1.393(3) . ?\r\nC9 C14 1.396(3) . ?\r\nC10 C11 1.383(3) . ?\r\nC10 H10 0.9300 . ?\r\nC11 C12 1.374(3) . ?\r\nC11 H11 0.9300 . ?\r\nC12 C13 1.394(3) . ?\r\nC12 H12 0.9300 . ?\r\nC13 C14 1.376(3) . ?\r\nC13 H13 0.9300 . ?\r\nC14 H14 0.9300 . ?\r\nC15 C15 1.376(4) 3_566 ?\r\nC15 C8 1.431(3) 3_566 ?\r\n\r\nloop_\r\n_geom_angle_atom_site_label_1\r\n_geom_angle_atom_site_label_2\r\n_geom_angle_atom_site_label_3\r\n_geom_angle\r\n_geom_angle_site_symmetry_1\r\n_geom_angle_site_symmetry_3\r\n_geom_angle_publ_flag\r\nC15 S1 C1 91.47(10) . . ?\r\nC8 C1 C2 130.63(19) . . ?\r\nC8 C1 S1 112.17(15) . . ?\r\nC2 C1 S1 117.11(15) . . ?\r\nC3 C2 C7 118.3(2) . . ?\r\nC3 C2 C1 120.66(19) . . ?\r\nC7 C2 C1 121.0(2) . . ?\r\nC4 C3 C2 121.4(2) . . ?\r\nC4 C3 H3 119.3 . . ?\r\nC2 C3 H3 119.3 . . ?\r\nC3 C4 C5 119.8(2) . . ?\r\nC3 C4 H4 120.1 . . ?\r\nC5 C4 H4 120.1 . . ?\r\nC4 C5 C6 119.6(2) . . ?\r\nC4 C5 H5 120.2 . . ?\r\nC6 C5 H5 120.2 . . ?\r\nC7 C6 C5 120.9(2) . . ?\r\nC7 C6 H6 119.5 . . ?\r\nC5 C6 H6 119.5 . . ?\r\nC6 C7 C2 119.9(2) . . ?\r\nC6 C7 H7 120.0 . . ?\r\nC2 C7 H7 120.0 . . ?\r\nC1 C8 C15 110.95(18) . 3_566 ?\r\nC1 C8 C9 127.04(18) . . ?\r\nC15 C8 C9 121.99(18) 3_566 . ?\r\nC10 C9 C14 118.74(19) . . ?\r\nC10 C9 C8 121.03(19) . . ?\r\nC14 C9 C8 120.21(18) . . ?\r\nC11 C10 C9 120.5(2) . . ?\r\nC11 C10 H10 119.8 . . ?\r\nC9 C10 H10 119.8 . . ?\r\nC12 C11 C10 120.4(2) . . ?\r\nC12 C11 H11 119.8 . . ?\r\nC10 C11 H11 119.8 . . ?\r\nC11 C12 C13 119.7(2) . . ?\r\nC11 C12 H12 120.2 . . ?\r\nC13 C12 H12 120.2 . . ?\r\nC14 C13 C12 120.1(2) . . ?\r\nC14 C13 H13 119.9 . . ?\r\nC12 C13 H13 119.9 . . ?\r\nC13 C14 C9 120.5(2) . . ?\r\nC13 C14 H14 119.7 . . ?\r\nC9 C14 H14 119.7 . . ?\r\nC15 C15 C8 114.3(2) 3_566 3_566 ?\r\nC15 C15 S1 111.1(2) 3_566 . ?\r\nC8 C15 S1 134.59(16) 3_566 . ?\r\n\r\nloop_\r\n_geom_torsion_atom_site_label_1\r\n_geom_torsion_atom_site_label_2\r\n_geom_torsion_atom_site_label_3\r\n_geom_torsion_atom_site_label_4\r\n_geom_torsion\r\n_geom_torsion_site_symmetry_1\r\n_geom_torsion_site_symmetry_2\r\n_geom_torsion_site_symmetry_3\r\n_geom_torsion_site_symmetry_4\r\n_geom_torsion_publ_flag\r\nC15 S1 C1 C8 0.01(16) . . . . ?\r\nC15 S1 C1 C2 176.93(16) . . . . ?\r\nC8 C1 C2 C3 -148.4(2) . . . . ?\r\nS1 C1 C2 C3 35.3(2) . . . . ?\r\nC8 C1 C2 C7 34.8(3) . . . . ?\r\nS1 C1 C2 C7 -141.46(17) . . . . ?\r\nC7 C2 C3 C4 -0.7(3) . . . . ?\r\nC1 C2 C3 C4 -177.58(19) . . . . ?\r\nC2 C3 C4 C5 0.3(3) . . . . ?\r\nC3 C4 C5 C6 0.1(3) . . . . ?\r\nC4 C5 C6 C7 0.0(3) . . . . ?\r\nC5 C6 C7 C2 -0.4(3) . . . . ?\r\nC3 C2 C7 C6 0.8(3) . . . . ?\r\nC1 C2 C7 C6 177.63(19) . . . . ?\r\nC2 C1 C8 C15 -176.1(2) . . . 3_566 ?\r\nS1 C1 C8 C15 0.3(2) . . . 3_566 ?\r\nC2 C1 C8 C9 5.2(4) . . . . ?\r\nS1 C1 C8 C9 -178.39(16) . . . . ?\r\nC1 C8 C9 C10 59.3(3) . . . . ?\r\nC15 C8 C9 C10 -119.3(2) 3_566 . . . ?\r\nC1 C8 C9 C14 -122.4(2) . . . . ?\r\nC15 C8 C9 C14 59.0(3) 3_566 . . . ?\r\nC14 C9 C10 C11 0.2(3) . . . . ?\r\nC8 C9 C10 C11 178.52(19) . . . . ?\r\nC9 C10 C11 C12 0.7(3) . . . . ?\r\nC10 C11 C12 C13 -1.2(3) . . . . ?\r\nC11 C12 C13 C14 0.6(3) . . . . ?\r\nC12 C13 C14 C9 0.3(3) . . . . ?\r\nC10 C9 C14 C13 -0.7(3) . . . . ?\r\nC8 C9 C14 C13 -179.06(19) . . . . ?\r\nC1 S1 C15 C15 -0.3(2) . . . 3_566 ?\r\nC1 S1 C15 C8 -179.6(2) . . . 3_566 ?\r\n\r\n_diffrn_measured_fraction_theta_max 0.996\r\n_diffrn_reflns_theta_full        25.02\r\n_diffrn_measured_fraction_theta_full 0.996\r\n_refine_diff_density_max         1.100\r\n_refine_diff_density_min         -0.375\r\n_refine_diff_density_rms         0.055\r\n"
  },
  {
    "path": "pyxtal/database/cifs/YICMOP.cif",
    "content": "####################################################################### \r\n# \r\n# This file contains crystal structure data downloaded from the \r\n# Cambridge Structural Database (CSD) hosted by the Cambridge \r\n# Crystallographic Data Centre (CCDC).\r\n# \r\n# Full information about CCDC data access policies and citation \r\n# guidelines are available at http://www.ccdc.cam.ac.uk/access/V1 \r\n# \r\n# Audit and citation data items may have been added by the CCDC. \r\n# Please retain this information to preserve the provenance of \r\n# this file and to allow appropriate attribution of the data. \r\n# \r\n#######################################################################\r\n\r\ndata_171207_fpt_o\r\n_audit_block_doi                 10.5517/ccdc.csd.cc1zqndr\r\n_database_code_depnum_ccdc_archive 'CCDC 1839025'\r\nloop_\r\n_citation_id\r\n_citation_doi\r\n_citation_year\r\n1 10.1039/C8TA03753A 2018\r\nloop_\r\n_audit_author_name\r\n_audit_author_address\r\n'Shuixing Li'\r\n;Zhejiang University\r\nChina\r\n;\r\n_audit_update_record             \r\n;\r\n2018-04-23 deposited with the CCDC.\t2020-08-11 downloaded from the CCDC.\r\n;\r\n_audit_creation_date             2017-12-07\r\n_audit_creation_method           \r\n;\r\nOlex2 1.2\r\n(compiled 2017.03.28 svn.r3405 for OlexSys, GUI svn.r5381)\r\n;\r\n_shelx_SHELXL_version_number     2016/6\r\n_chemical_name_common            ?\r\n_chemical_name_systematic        ?\r\n_chemical_formula_moiety         'C16 H12 F2 O2 S2'\r\n_chemical_formula_sum            'C16 H12 F2 O2 S2'\r\n_chemical_formula_weight         338.38\r\n_chemical_melting_point          ?\r\n_chemical_oxdiff_formula         'C H N O S'\r\nloop_\r\n_atom_type_symbol\r\n_atom_type_description\r\n_atom_type_scat_dispersion_real\r\n_atom_type_scat_dispersion_imag\r\n_atom_type_scat_source\r\nC C 0.0033 0.0016 'International Tables Vol C Tables 4.2.6.8 and 6.1.1.4'\r\nH H 0.0000 0.0000 'International Tables Vol C Tables 4.2.6.8 and 6.1.1.4'\r\nF F 0.0171 0.0103 'International Tables Vol C Tables 4.2.6.8 and 6.1.1.4'\r\nO O 0.0106 0.0060 'International Tables Vol C Tables 4.2.6.8 and 6.1.1.4'\r\nS S 0.1246 0.1234 'International Tables Vol C Tables 4.2.6.8 and 6.1.1.4'\r\n\r\n_shelx_space_group_comment       \r\n;\r\nThe symmetry employed for this shelxl refinement is uniquely defined\r\nby the following loop, which should always be used as a source of\r\nsymmetry information in preference to the above space-group names.\r\nThey are only intended as comments.\r\n;\r\n_space_group_crystal_system      monoclinic\r\n_space_group_IT_number           14\r\n_space_group_name_H-M_alt        'P 1 21/n 1'\r\n_space_group_name_Hall           '-P 2yn'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n'x, y, z'\r\n'-x+1/2, y+1/2, -z+1/2'\r\n'-x, -y, -z'\r\n'x-1/2, -y-1/2, z-1/2'\r\n\r\n_cell_length_a                   5.5646(6)\r\n_cell_length_b                   6.9441(8)\r\n_cell_length_c                   18.902(2)\r\n_cell_angle_alpha                90\r\n_cell_angle_beta                 98.039(12)\r\n_cell_angle_gamma                90\r\n_cell_volume                     723.22(15)\r\n_cell_formula_units_Z            2\r\n_cell_measurement_reflns_used    1412\r\n_cell_measurement_temperature    150\r\n_cell_measurement_theta_max      29.2899\r\n_cell_measurement_theta_min      3.1227\r\n_shelx_estimated_absorpt_T_max   0.962\r\n_shelx_estimated_absorpt_T_min   0.871\r\n_exptl_absorpt_coefficient_mu    0.394\r\n_exptl_absorpt_correction_T_max  1.00000\r\n_exptl_absorpt_correction_T_min  0.90430\r\n_exptl_absorpt_correction_type   multi-scan\r\n_exptl_absorpt_process_details   \r\n;\r\nCrysAlisPro, Agilent Technologies,\r\nVersion 1.171.35.11 (release 16-05-2011 CrysAlis171 .NET)\r\n(compiled May 16 2011,17:55:39)\r\nEmpirical absorption correction using spherical harmonics,\r\n implemented in SCALE3 ABSPACK scaling algorithm.\r\n;\r\n_exptl_absorpt_special_details   ?\r\n_exptl_crystal_colour            colourless\r\n_exptl_crystal_colour_primary    colourless\r\n_exptl_crystal_density_diffrn    1.554\r\n_exptl_crystal_density_meas      ?\r\n_exptl_crystal_density_method    ?\r\n_exptl_crystal_description       needle\r\n_exptl_crystal_F_000             348\r\n_exptl_crystal_size_max          0.36\r\n_exptl_crystal_size_mid          0.18\r\n_exptl_crystal_size_min          0.1\r\n_exptl_transmission_factor_max   ?\r\n_exptl_transmission_factor_min   ?\r\n_diffrn_reflns_av_R_equivalents  0.0446\r\n_diffrn_reflns_av_unetI/netI     0.0455\r\n_diffrn_reflns_Laue_measured_fraction_full 0.998\r\n_diffrn_reflns_Laue_measured_fraction_max 0.998\r\n_diffrn_reflns_limit_h_max       6\r\n_diffrn_reflns_limit_h_min       -6\r\n_diffrn_reflns_limit_k_max       8\r\n_diffrn_reflns_limit_k_min       -6\r\n_diffrn_reflns_limit_l_max       22\r\n_diffrn_reflns_limit_l_min       -21\r\n_diffrn_reflns_number            4341\r\n_diffrn_reflns_point_group_measured_fraction_full 0.998\r\n_diffrn_reflns_point_group_measured_fraction_max 0.998\r\n_diffrn_reflns_theta_full        25.242\r\n_diffrn_reflns_theta_max         25.346\r\n_diffrn_reflns_theta_min         3.129\r\n_diffrn_ambient_temperature      150\r\n_diffrn_detector_area_resol_mean 10.3592\r\n_diffrn_measured_fraction_theta_full 0.998\r\n_diffrn_measured_fraction_theta_max 0.998\r\n_diffrn_measurement_details      \r\n;\r\n#__ type_ start__ end____ width___ exp.time_\r\n  1 omega  -43.00   32.00   1.0000    3.0000\r\nomega____ theta____ kappa____ phi______ frames\r\n    -      -11.4683   82.0000  162.0000 75\r\n\r\n#__ type_ start__ end____ width___ exp.time_\r\n  2 omega  -89.00   19.00   1.0000    3.0000\r\nomega____ theta____ kappa____ phi______ frames\r\n    -      -11.4683  -77.0000   30.0000 108\r\n\r\n#__ type_ start__ end____ width___ exp.time_\r\n  3 omega  -12.00   83.00   1.0000    3.0000\r\nomega____ theta____ kappa____ phi______ frames\r\n    -       11.7808   38.0000  -30.0000 95\r\n;\r\n_diffrn_measurement_device_type  'Xcalibur, Atlas, Gemini ultra'\r\n_diffrn_measurement_method       '\\w scans'\r\n_diffrn_orient_matrix_UB_11      -0.0849732000\r\n_diffrn_orient_matrix_UB_12      -0.0762612000\r\n_diffrn_orient_matrix_UB_13      -0.0066228000\r\n_diffrn_orient_matrix_UB_21      -0.0512797000\r\n_diffrn_orient_matrix_UB_22      0.0451494000\r\n_diffrn_orient_matrix_UB_23      -0.0322472000\r\n_diffrn_orient_matrix_UB_31      0.0820705000\r\n_diffrn_orient_matrix_UB_32      -0.0507383000\r\n_diffrn_orient_matrix_UB_33      -0.0187424000\r\n_diffrn_radiation_monochromator  graphite\r\n_diffrn_radiation_type           MoK\\a\r\n_diffrn_radiation_wavelength     0.71073\r\n_diffrn_source                   'Enhance (Mo) X-ray Source'\r\n_reflns_Friedel_coverage         0.000\r\n_reflns_Friedel_fraction_full    .\r\n_reflns_Friedel_fraction_max     .\r\n_reflns_number_gt                1052\r\n_reflns_number_total             1326\r\n_reflns_odcompleteness_completeness 99.69\r\n_reflns_odcompleteness_iscentric 1\r\n_reflns_odcompleteness_theta     26.32\r\n_reflns_special_details          \r\n;\r\n Reflections were merged by SHELXL according to the crystal\r\n class for the calculation of statistics and refinement.\r\n \r\n _reflns_Friedel_fraction is defined as the number of unique\r\n Friedel pairs measured divided by the number that would be\r\n possible theoretically, ignoring centric projections and\r\n systematic absences.\r\n;\r\n_reflns_threshold_expression     'I > 2\\s(I)'\r\n_computing_cell_refinement       \r\n;\r\nCrysAlisPro, Agilent Technologies,\r\nVersion 1.171.35.11 (release 16-05-2011 CrysAlis171 .NET)\r\n(compiled May 16 2011,17:55:39)\r\n;\r\n_computing_data_collection       \r\n;\r\nCrysAlisPro, Agilent Technologies,\r\nVersion 1.171.35.11 (release 16-05-2011 CrysAlis171 .NET)\r\n(compiled May 16 2011,17:55:39)\r\n;\r\n_computing_data_reduction        \r\n;\r\nCrysAlisPro, Agilent Technologies,\r\nVersion 1.171.35.11 (release 16-05-2011 CrysAlis171 .NET)\r\n(compiled May 16 2011,17:55:39)\r\n;\r\n_computing_molecular_graphics    'Olex2 (Dolomanov et al., 2009)'\r\n_computing_publication_material  'Olex2 (Dolomanov et al., 2009)'\r\n_computing_structure_refinement  'ShelXL (Sheldrick, 2015)'\r\n_computing_structure_solution    'ShelXT (Sheldrick, 2015)'\r\n_refine_diff_density_max         0.350\r\n_refine_diff_density_min         -0.323\r\n_refine_diff_density_rms         0.065\r\n_refine_ls_extinction_coef       .\r\n_refine_ls_extinction_method     none\r\n_refine_ls_goodness_of_fit_ref   1.059\r\n_refine_ls_hydrogen_treatment    constr\r\n_refine_ls_matrix_type           full\r\n_refine_ls_number_parameters     101\r\n_refine_ls_number_reflns         1326\r\n_refine_ls_number_restraints     0\r\n_refine_ls_R_factor_all          0.0605\r\n_refine_ls_R_factor_gt           0.0449\r\n_refine_ls_restrained_S_all      1.059\r\n_refine_ls_shift/su_max          0.000\r\n_refine_ls_shift/su_mean         0.000\r\n_refine_ls_structure_factor_coef Fsqd\r\n_refine_ls_weighting_details     \r\n'w=1/[\\s^2^(Fo^2^)+(0.0454P)^2^+0.6891P] where P=(Fo^2^+2Fc^2^)/3'\r\n_refine_ls_weighting_scheme      calc\r\n_refine_ls_wR_factor_gt          0.1040\r\n_refine_ls_wR_factor_ref         0.1151\r\n_refine_special_details          ?\r\n_olex2_refinement_description    \r\n;\r\n1. Fixed Uiso\r\n At 1.2 times of:\r\n  All C(H) groups\r\n At 1.5 times of:\r\n  All C(H,H,H) groups\r\n2.a Aromatic/amide H refined with riding coordinates:\r\n C1(H1), C2(H2), C3(H3)\r\n2.b Idealised Me refined as rotating group:\r\n C8(H8A,H8B,H8C)\r\n;\r\n_atom_sites_solution_hydrogens   geom\r\n_atom_sites_solution_primary     dual\r\n_atom_sites_solution_secondary   ?\r\nloop_\r\n_atom_site_label\r\n_atom_site_type_symbol\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\n_atom_site_U_iso_or_equiv\r\n_atom_site_adp_type\r\n_atom_site_occupancy\r\n_atom_site_site_symmetry_order\r\n_atom_site_calc_flag\r\n_atom_site_refinement_flags_posn\r\n_atom_site_refinement_flags_adp\r\n_atom_site_refinement_flags_occupancy\r\n_atom_site_disorder_assembly\r\n_atom_site_disorder_group\r\nS1 S 0.87928(14) 0.36755(12) 0.69599(4) 0.0361(3) Uani 1 1 d . . . . .\r\nF1 F 0.7303(3) 0.1706(2) 0.47265(8) 0.0288(4) Uani 1 1 d . . . . .\r\nO1 O 0.3882(3) 0.3033(3) 0.37282(9) 0.0241(5) Uani 1 1 d . . . . .\r\nC1 C 1.1403(6) 0.2406(4) 0.71533(17) 0.0365(8) Uani 1 1 d . . . . .\r\nH1 H 1.211257 0.208324 0.762493 0.044 Uiso 1 1 calc R . . . .\r\nC2 C 1.2358(5) 0.1906(4) 0.65633(17) 0.0349(7) Uani 1 1 d . . . . .\r\nH2 H 1.382931 0.120332 0.657869 0.042 Uiso 1 1 calc R . . . .\r\nC3 C 1.0969(5) 0.2523(4) 0.59171(14) 0.0214(6) Uani 1 1 d . . . . .\r\nH3 H 1.139058 0.229242 0.545452 0.026 Uiso 1 1 calc R . . . .\r\nC4 C 0.8880(5) 0.3523(4) 0.60527(14) 0.0232(6) Uani 1 1 d . . . . .\r\nC5 C 0.6911(5) 0.4285(4) 0.55247(14) 0.0208(6) Uani 1 1 d . . . . .\r\nC6 C 0.6201(5) 0.3379(4) 0.48725(14) 0.0216(6) Uani 1 1 d . . . . .\r\nC7 C 0.4381(5) 0.4038(4) 0.43583(13) 0.0209(6) Uani 1 1 d . . . . .\r\nC8 C 0.1991(6) 0.1629(4) 0.37483(16) 0.0352(7) Uani 1 1 d . . . . .\r\nH8A H 0.167357 0.097109 0.328593 0.053 Uiso 1 1 calc GR . . . .\r\nH8B H 0.050853 0.227400 0.384818 0.053 Uiso 1 1 calc GR . . . .\r\nH8C H 0.250283 0.068422 0.412459 0.053 Uiso 1 1 calc GR . . . .\r\n\r\nloop_\r\n_atom_site_aniso_label\r\n_atom_site_aniso_U_11\r\n_atom_site_aniso_U_22\r\n_atom_site_aniso_U_33\r\n_atom_site_aniso_U_23\r\n_atom_site_aniso_U_13\r\n_atom_site_aniso_U_12\r\nS1 0.0384(5) 0.0420(5) 0.0258(4) -0.0043(3) -0.0023(3) 0.0067(4)\r\nF1 0.0322(9) 0.0238(8) 0.0297(9) -0.0053(7) 0.0016(7) 0.0081(7)\r\nO1 0.0281(10) 0.0247(10) 0.0195(10) -0.0038(8) 0.0037(8) -0.0036(8)\r\nC1 0.0375(17) 0.0368(17) 0.0310(17) 0.0021(14) -0.0097(14) -0.0022(14)\r\nC2 0.0212(15) 0.0335(17) 0.049(2) 0.0041(15) 0.0006(14) -0.0012(13)\r\nC3 0.0186(13) 0.0215(14) 0.0234(14) 0.0027(11) -0.0002(10) -0.0006(11)\r\nC4 0.0255(15) 0.0199(14) 0.0236(15) 0.0012(11) 0.0018(11) -0.0051(11)\r\nC5 0.0220(14) 0.0199(13) 0.0206(13) 0.0025(11) 0.0035(11) -0.0017(11)\r\nC6 0.0223(14) 0.0175(13) 0.0255(15) -0.0003(11) 0.0053(11) 0.0019(11)\r\nC7 0.0249(14) 0.0214(13) 0.0174(13) -0.0013(11) 0.0061(11) -0.0055(11)\r\nC8 0.0437(19) 0.0315(16) 0.0307(17) -0.0067(13) 0.0056(14) -0.0128(14)\r\n\r\n_geom_special_details            \r\n;\r\n All esds (except the esd in the dihedral angle between two l.s. planes)\r\n are estimated using the full covariance matrix.  The cell esds are taken\r\n into account individually in the estimation of esds in distances, angles\r\n and torsion angles; correlations between esds in cell parameters are only\r\n used when they are defined by crystal symmetry.  An approximate (isotropic)\r\n treatment of cell esds is used for estimating esds involving l.s. planes.\r\n;\r\nloop_\r\n_geom_bond_atom_site_label_1\r\n_geom_bond_atom_site_label_2\r\n_geom_bond_distance\r\n_geom_bond_site_symmetry_2\r\n_geom_bond_publ_flag\r\nS1 C1 1.695(3) . ?\r\nS1 C4 1.726(3) . ?\r\nF1 C6 1.360(3) . ?\r\nO1 C7 1.375(3) . ?\r\nO1 C8 1.439(3) . ?\r\nC1 H1 0.9500 . ?\r\nC1 C2 1.346(4) . ?\r\nC2 H2 0.9500 . ?\r\nC2 C3 1.417(4) . ?\r\nC3 H3 0.9500 . ?\r\nC3 C4 1.408(4) . ?\r\nC4 C5 1.474(4) . ?\r\nC5 C6 1.391(4) . ?\r\nC5 C7 1.402(4) 3_666 ?\r\nC6 C7 1.380(4) . ?\r\nC8 H8A 0.9800 . ?\r\nC8 H8B 0.9800 . ?\r\nC8 H8C 0.9800 . ?\r\n\r\nloop_\r\n_geom_angle_atom_site_label_1\r\n_geom_angle_atom_site_label_2\r\n_geom_angle_atom_site_label_3\r\n_geom_angle\r\n_geom_angle_site_symmetry_1\r\n_geom_angle_site_symmetry_3\r\n_geom_angle_publ_flag\r\nC1 S1 C4 92.29(14) . . ?\r\nC7 O1 C8 112.4(2) . . ?\r\nS1 C1 H1 123.8 . . ?\r\nC2 C1 S1 112.4(2) . . ?\r\nC2 C1 H1 123.8 . . ?\r\nC1 C2 H2 123.1 . . ?\r\nC1 C2 C3 113.9(3) . . ?\r\nC3 C2 H2 123.1 . . ?\r\nC2 C3 H3 124.5 . . ?\r\nC4 C3 C2 110.9(3) . . ?\r\nC4 C3 H3 124.5 . . ?\r\nC3 C4 S1 110.48(19) . . ?\r\nC3 C4 C5 127.5(2) . . ?\r\nC5 C4 S1 122.0(2) . . ?\r\nC6 C5 C4 122.0(2) . . ?\r\nC6 C5 C7 115.3(2) . 3_666 ?\r\nC7 C5 C4 122.7(2) 3_666 . ?\r\nF1 C6 C5 119.1(2) . . ?\r\nF1 C6 C7 116.6(2) . . ?\r\nC7 C6 C5 124.3(2) . . ?\r\nO1 C7 C5 120.8(2) . 3_666 ?\r\nO1 C7 C6 118.8(2) . . ?\r\nC6 C7 C5 120.4(2) . 3_666 ?\r\nO1 C8 H8A 109.5 . . ?\r\nO1 C8 H8B 109.5 . . ?\r\nO1 C8 H8C 109.5 . . ?\r\nH8A C8 H8B 109.5 . . ?\r\nH8A C8 H8C 109.5 . . ?\r\nH8B C8 H8C 109.5 . . ?\r\n\r\n_shelx_res_file                  \r\n;\r\nTITL 171207_fpt_o_a.res in P2(1)/n\r\n    171207_fpt_o.res\r\n    created by SHELXL-2016/6 at 12:54:18 on 07-Dec-2017\r\nREM Old TITL 171207_FPT_O in P21/n #14\r\nREM SHELXT solution in P2(1)/n\r\nREM R1 0.137, Rweak 0.553, Alpha 0.015, Orientation as input\r\nREM Formula found by SHELXT: C8 O2 S\r\nCELL 0.71073 5.5646 6.9441 18.9022 90 98.039 90\r\nZERR 2 0.0006 0.0008 0.0024 0 0.012 0\r\nLATT 1\r\nSYMM 0.5-X,0.5+Y,0.5-Z\r\nSFAC C H F O S\r\nUNIT 32 24 4 4 4\r\n\r\nL.S. 6\r\nPLAN  20\r\nSIZE 0.1 0.18 0.36\r\nTEMP -123.15\r\nBOND $H\r\nhtab\r\nlist 4\r\nfmap 2\r\nacta\r\nSHEL 999 0.83\r\nREM <olex2.extras>\r\nREM <HklSrc \"%.\\\\171207_FPT_O.hkl\">\r\nREM </olex2.extras>\r\n\r\nWGHT    0.045400    0.689100\r\nFVAR       1.04322\r\nS1    5    0.879281    0.367555    0.695985    11.00000    0.03841    0.04205 =\r\n         0.02583   -0.00431   -0.00230    0.00671\r\nF1    3    0.730341    0.170568    0.472653    11.00000    0.03222    0.02378 =\r\n         0.02971   -0.00533    0.00155    0.00812\r\nO1    4    0.388158    0.303313    0.372816    11.00000    0.02812    0.02468 =\r\n         0.01947   -0.00379    0.00367   -0.00363\r\nC1    1    1.140310    0.240584    0.715325    11.00000    0.03752    0.03676 =\r\n         0.03102    0.00210   -0.00971   -0.00218\r\nAFIX  43\r\nH1    2    1.211257    0.208324    0.762493    11.00000   -1.20000\r\nAFIX   0\r\nC2    1    1.235801    0.190588    0.656330    11.00000    0.02117    0.03348 =\r\n         0.04869    0.00412    0.00065   -0.00115\r\nAFIX  43\r\nH2    2    1.382931    0.120332    0.657869    11.00000   -1.20000\r\nAFIX   0\r\nC3    1    1.096888    0.252288    0.591707    11.00000    0.01858    0.02148 =\r\n         0.02338    0.00271   -0.00021   -0.00063\r\nAFIX  43\r\nH3    2    1.139058    0.229242    0.545452    11.00000   -1.20000\r\nAFIX   0\r\nC4    1    0.888029    0.352310    0.605266    11.00000    0.02552    0.01995 =\r\n         0.02363    0.00119    0.00178   -0.00512\r\nC5    1    0.691060    0.428519    0.552469    11.00000    0.02199    0.01994 =\r\n         0.02061    0.00247    0.00347   -0.00170\r\nC6    1    0.620084    0.337920    0.487248    11.00000    0.02229    0.01748 =\r\n         0.02551   -0.00029    0.00525    0.00189\r\nC7    1    0.438110    0.403755    0.435833    11.00000    0.02488    0.02140 =\r\n         0.01743   -0.00131    0.00614   -0.00547\r\nC8    1    0.199084    0.162860    0.374832    11.00000    0.04368    0.03150 =\r\n         0.03067   -0.00665    0.00559   -0.01280\r\nAFIX 137\r\nH8A   2    0.167357    0.097109    0.328593    11.00000   -1.50000\r\nH8B   2    0.050853    0.227400    0.384818    11.00000   -1.50000\r\nH8C   2    0.250283    0.068422    0.412459    11.00000   -1.50000\r\nAFIX   0\r\nHKLF 4\r\n\r\n\r\n\r\n\r\nREM  171207_fpt_o_a.res in P2(1)/n\r\nREM R1 =  0.0449 for    1052 Fo > 4sig(Fo)  and  0.0605 for all    1326 data\r\nREM    101 parameters refined using      0 restraints\r\n\r\nEND\r\n\r\nWGHT      0.0454      0.6909\r\n\r\nREM Instructions for potential hydrogen bonds\r\nEQIV $2 x-1/2, -y+1/2, z-1/2\r\nHTAB C8 S1_$2\r\nEQIV $3 x-1, y, z\r\nHTAB C8 F1_$3\r\n\r\nREM Highest difference peak  0.350,  deepest hole -0.323,  1-sigma level  0.065\r\nQ1    1   0.9968  0.2482  0.5975  11.00000  0.05    0.35\r\nQ2    1   1.1793  0.2761  0.6144  11.00000  0.05    0.32\r\nQ3    1   1.1177  0.1983  0.6170  11.00000  0.05    0.31\r\nQ4    1   1.0895  0.2231  0.5777  11.00000  0.05    0.30\r\nQ5    1   1.0712  0.3385  0.7185  11.00000  0.05    0.24\r\nQ6    1   1.2268  0.2825  0.6829  11.00000  0.05    0.23\r\nQ7    1   0.3622  0.4641  0.3600  11.00000  0.05    0.22\r\nQ8    1   0.5858  0.4730  0.5672  11.00000  0.05    0.22\r\nQ9    1   1.2092  0.2579  0.7148  11.00000  0.05    0.21\r\nQ10   1   0.4607  0.3303  0.3384  11.00000  0.05    0.20\r\nQ11   1   0.0955  0.1993  0.2587  11.00000  0.05    0.19\r\nQ12   1   0.0868  0.1799  0.4145  11.00000  0.05    0.19\r\nQ13   1   0.3057  0.3589  0.3266  11.00000  0.05    0.19\r\nQ14   1   0.8349  0.3964  0.5794  11.00000  0.05    0.19\r\nQ15   1   1.1562  0.2135  0.7843  11.00000  0.05    0.18\r\nQ16   1   0.7082  0.4205  0.5183  11.00000  0.05    0.18\r\nQ17   1   0.8901  0.4859  0.7425  11.00000  0.05    0.17\r\nQ18   1   0.6723  0.5309  0.5482  11.00000  0.05    0.17\r\nQ19   1   0.1245 -0.1152  0.3159  11.00000  0.05    0.16\r\nQ20   1   1.1217  0.1581  0.6800  11.00000  0.05    0.16\r\n;\r\n_shelx_res_checksum              42163\r\n_shelx_hkl_file                  \r\n;\r\n   0   0   3    0.02    1.25\r\n   0   0   4  735.73   17.29\r\n   0   0   4  732.34   22.55\r\n   0   0  -5   -0.92    1.74\r\n   0   0   5    1.90    3.78\r\n   0   0  -6  262.93   12.55\r\n   0   0   6  247.94   16.13\r\n   0   0   7   -2.72    3.32\r\n   0   0  -7   -0.72    2.39\r\n   0   0  -8   96.73    8.86\r\n   0   0   8   99.64   12.30\r\n   0   0   9    4.91    4.50\r\n   0   0   9   -0.70    4.43\r\n   0   0  -9    1.22    2.09\r\n   0   0 -10 1105.90   33.33\r\n   0   0  10 1032.38   43.08\r\n   0   0  11    2.41    5.27\r\n   0   0 -11    8.56    3.91\r\n   0   0 -12 1770.04   45.43\r\n   0   0  12 1605.81   59.87\r\n   0   0  12 1657.40   60.06\r\n   0   0 -13   14.30    4.94\r\n   0   0  13   16.39    7.92\r\n   0   0  13   17.32    9.00\r\n   0   0 -14    2.40    1.94\r\n   0   0  14    3.02    4.90\r\n   0   0  14   -3.48    5.33\r\n   0   0  15    7.56    7.94\r\n   0   0  15    4.65    5.48\r\n   0   0 -15    0.99    2.54\r\n   0   0 -16  202.51   17.71\r\n   0   0  16  187.58   24.63\r\n   0   0 -17    7.42    3.88\r\n   0   0  17   -2.15    5.17\r\n   0   0 -18   19.04    5.82\r\n   0   0  18  208.24   27.24\r\n   0   0  19   -3.66    7.39\r\n   0   0  20   47.11   14.41\r\n   0   0  21    6.55    6.99\r\n   0   0  22   64.70   18.00\r\n   0   0  23   -5.27    7.62\r\n   0   0  24    5.20    7.11\r\n   0   0  25   12.14   10.43\r\n   0   1  -1 1874.38   24.18\r\n   0   1  -2  709.20   14.41\r\n   0  -1   2  670.70   19.89\r\n   0   1   2  730.58   20.96\r\n   0   1  -3  130.43    7.31\r\n   0  -1   3  144.11   10.08\r\n   0   1   3  144.24   10.71\r\n   0  -1  -3  120.95    7.01\r\n   0   1   4 4167.28   62.12\r\n   0  -1   4 4123.45   56.60\r\n   0   1  -4 4159.96   47.72\r\n   0   1  -5  174.45   11.23\r\n   0  -1   5  163.12   10.76\r\n   0   1   5  160.93   13.66\r\n   0  -1   5  183.36   12.86\r\n   0   1  -6 1320.11   35.35\r\n   0  -1   6 1291.59   35.44\r\n   0  -1   6 1343.20   34.02\r\n   0   1   6 1341.48   41.53\r\n   0  -1   7 1791.95   43.47\r\n   0  -1   7 1686.84   41.76\r\n   0   1   7 1753.41   50.30\r\n   0   1  -7 1783.88   43.18\r\n   0  -1   8 3141.11   63.15\r\n   0  -1   8 3265.96   61.95\r\n   0   1   8 3305.87   73.24\r\n   0   1  -8 3259.98   60.69\r\n   0  -1   8 3272.67   62.80\r\n   0   1   9   18.65    9.06\r\n   0  -1   9    5.38    4.01\r\n   0  -1   9    4.73    3.70\r\n   0  -1   9   11.78    4.41\r\n   0  -1  -9    9.73    3.13\r\n   0   1  -9   13.61    5.36\r\n   0   1 -10 2264.70   54.52\r\n   0  -1  10 2166.38   60.16\r\n   0  -1  10 2315.67   56.44\r\n   0  -1  10 2276.96   59.74\r\n   0   1  10 2283.81   67.72\r\n   0  -1 -10 2317.43   42.37\r\n   0  -1 -11   80.33    8.46\r\n   0  -1 -11   59.07   11.83\r\n   0  -1  11   73.41   12.29\r\n   0  -1  11   83.45   11.28\r\n   0   1  11   87.73   14.62\r\n   0   1 -11   88.85   11.65\r\n   0  -1 -12   53.40   11.51\r\n   0  -1 -12   36.32    5.98\r\n   0   1  12   55.14   12.46\r\n   0  -1  12   53.38    8.83\r\n   0   1 -12   52.63    9.15\r\n   0  -1  12   51.25   11.25\r\n   0  -1 -13  268.63   16.32\r\n   0  -1  13  276.52   24.76\r\n   0  -1  13  263.08   23.81\r\n   0   1 -13  203.28   18.39\r\n   0   1  13  256.49   26.15\r\n   0   1  14   22.63   10.11\r\n   0  -1 -14   22.08    5.02\r\n   0  -1  14   12.38    5.24\r\n   0  -1  14   20.07    8.60\r\n   0  -1  15  625.04   41.05\r\n   0  -1 -15  674.14   27.45\r\n   0  -1  15  659.74   41.06\r\n   0   1  15  605.16   43.19\r\n   0  -1 -16    5.46    3.41\r\n   0   1  16    9.10    8.60\r\n   0  -1  16    3.35    6.44\r\n   0  -1  16    3.04    6.55\r\n   0  -1  17   40.59   12.53\r\n   0  -1 -17   40.11    7.02\r\n   0   1  17   35.41   11.95\r\n   0  -1 -18 1137.51   37.30\r\n   0   1  18  994.39   61.18\r\n   0  -1  18  986.91   57.87\r\n   0   1  19   61.50   16.49\r\n   0   1 -19   78.18   13.55\r\n   0  -1  19   66.22   16.66\r\n   0  -1 -19   62.13    9.12\r\n   0   1 -20   14.60    6.39\r\n   0  -1  20   23.67   10.08\r\n   0   1  20   12.55    8.42\r\n   0   1  21  129.00   24.67\r\n   0  -1  21  127.22   22.66\r\n   0   1 -21  162.47   19.40\r\n   0  -1  22  212.50   30.41\r\n   0   1  22  251.34   34.91\r\n   0  -1  23   85.94   20.47\r\n   0   1  23  119.78   24.94\r\n   0   1  24   43.81   16.19\r\n   0  -1  24   29.83   14.46\r\n   0  -1  25   15.13   10.04\r\n   0   2   0 9999.00   82.91\r\n   0  -2   0 9234.63   94.52\r\n   0  -2   1 1967.81   44.79\r\n   0  -2  -1 2047.92   42.36\r\n   0   2   1 2043.85   40.88\r\n   0  -2   1 1912.64   35.89\r\n   0   2  -1 2022.80   36.81\r\n   0   2   2   39.47    6.85\r\n   0   2  -2   36.27    5.24\r\n   0  -2   2   40.94    7.00\r\n   0  -2   2   26.72    4.77\r\n   0   2   2   34.02    5.91\r\n   0  -2  -2   40.77    6.38\r\n   0   2  -3    2.78    2.07\r\n   0   2   3    6.80    3.56\r\n   0   2   3    1.57    3.38\r\n   0  -2  -3    1.18    2.32\r\n   0  -2   3    6.02    3.79\r\n   0  -2   3    5.55    2.94\r\n   0   2   4  388.03   21.53\r\n   0   2  -4  400.05   15.53\r\n   0  -2   4  377.38   21.63\r\n   0  -2  -4  375.64   16.94\r\n   0  -2   4  391.80   15.56\r\n   0  -2   5  177.83   15.39\r\n   0  -2  -5  178.95   11.78\r\n   0  -2   5  173.00   11.27\r\n   0   2  -5  181.77   11.19\r\n   0   2   5  195.11   16.51\r\n   0  -2   6   97.52   12.12\r\n   0  -2   6   87.32    8.48\r\n   0   2  -6   81.42    8.45\r\n   0   2   6   88.64   12.17\r\n   0  -2  -6   89.99    8.39\r\n   0   2  -7  614.64   30.13\r\n   0   2   7  605.84   32.40\r\n   0   2  -7  632.43   24.85\r\n   0  -2   7  601.24   30.23\r\n   0  -2  -7  609.05   21.35\r\n   0  -2   7  586.81   23.62\r\n   0  -2   8 1116.50   42.50\r\n   0   2  -8 1078.26   34.96\r\n   0  -2  -8 1119.21   28.69\r\n   0   2  -8 1120.55   42.01\r\n   0  -2   8 1043.69   34.12\r\n   0   2   8 1071.01   44.71\r\n   0  -2   9  757.42   31.05\r\n   0  -2   9  778.65   36.51\r\n   0   2   9  763.25   39.80\r\n   0  -2  10  350.95   22.48\r\n   0  -2  10  379.31   25.99\r\n   0   2  10  376.95   29.25\r\n   0  -2  11 2077.63   57.54\r\n   0  -2  11 2056.63   60.04\r\n   0  -2  11 2168.15   65.04\r\n   0   2  11 1977.26   69.79\r\n   0  -2 -12  152.13   20.74\r\n   0  -2  12  126.78   16.07\r\n   0   2  12  137.82   19.76\r\n   0  -2  12  151.19   17.41\r\n   0  -2  13   34.95    8.82\r\n   0  -2  13   17.29    7.36\r\n   0   2  13   14.91    7.31\r\n   0  -2 -13   17.57    4.41\r\n   0  -2  14   -0.27    3.98\r\n   0  -2 -14    1.92    2.08\r\n   0  -2  14    3.93    4.69\r\n   0   2 -14   -0.52    4.46\r\n   0  -2  14   -1.26    4.11\r\n   0   2  14   -5.11    7.58\r\n   0  -2  15  293.60   26.23\r\n   0  -2  15  243.16   24.08\r\n   0  -2 -15  266.95   15.98\r\n   0   2 -15  288.97   26.08\r\n   0   2  15  257.76   29.57\r\n   0  -2  15  276.02   26.73\r\n   0  -2  16  134.32   18.50\r\n   0   2  16  104.97   19.96\r\n   0  -2  16  111.26   16.94\r\n   0  -2 -16  119.69   10.86\r\n   0  -2  16  111.02   17.76\r\n   0   2 -16  121.08   17.40\r\n   0   2 -17   27.86    9.52\r\n   0   2  17   21.53   11.59\r\n   0  -2 -17   33.95    5.89\r\n   0  -2  17   22.66    9.40\r\n   0  -2 -18   54.94    6.98\r\n   0   2  18   64.99   16.51\r\n   0   2 -18   70.17   14.29\r\n   0  -2  18   70.04   15.69\r\n   0  -2  19  542.45   43.80\r\n   0   2 -19  616.84   40.85\r\n   0   2  19  535.82   47.97\r\n   0   2  20   48.14   14.79\r\n   0   2 -20   42.22   11.09\r\n   0  -2  20   55.67   14.57\r\n   0   2  21   49.91   15.84\r\n   0   2 -21   40.56   10.99\r\n   0  -2  21   55.64   15.25\r\n   0  -2  22  -21.58   10.32\r\n   0   2  22   31.02   13.60\r\n   0  -2  23    8.27    6.99\r\n   0   2  23   22.14   11.95\r\n   0  -2  24   23.24   11.61\r\n   0   3   0    4.67    4.36\r\n   0   3   0   -1.69    3.78\r\n   0  -3   0    0.46    3.55\r\n   0  -3   0    0.58    2.19\r\n   0   3  -1   15.55    4.70\r\n   0  -3  -1   21.53    5.97\r\n   0  -3   1   20.29    5.00\r\n   0  -3  -1   16.52    5.23\r\n   0   3   1   17.02    5.28\r\n   0  -3   1   21.60    6.51\r\n   0   3   1   10.42    4.20\r\n   0  -3   2   18.97    5.98\r\n   0   3   2   15.25    5.64\r\n   0   3  -2   19.79    4.97\r\n   0  -3   2   19.76    4.86\r\n   0  -3  -2   32.12    6.78\r\n   0  -3  -2   21.15    5.45\r\n   0   3   2   24.86    6.21\r\n   0  -3  -3  878.09   36.07\r\n   0  -3   3  848.79   28.91\r\n   0   3  -3  892.44   26.85\r\n   0  -3   3  918.19   38.81\r\n   0   3   3  851.20   34.72\r\n   0  -3  -3  857.41   33.15\r\n   0   3   3  867.11   32.96\r\n   0  -3   4  342.58   18.56\r\n   0   3   4  316.49   22.25\r\n   0   3   4  331.66   20.05\r\n   0  -3   4  339.13   23.99\r\n   0  -3  -4  330.50   20.20\r\n   0   3  -4  338.31   16.31\r\n   0  -3   5   35.16    6.16\r\n   0   3  -5   40.40    6.09\r\n   0  -3   5   26.65    7.37\r\n   0  -3  -5   31.76    6.06\r\n   0   3   5   31.57    7.92\r\n   0  -3  -6   11.49    4.34\r\n   0  -3   6    6.79    3.45\r\n   0  -3   6   18.95    6.55\r\n   0   3  -6    8.35    2.92\r\n   0   3   6   11.42    6.04\r\n   0  -3   7  346.26   18.70\r\n   0   3   7  360.20   26.82\r\n   0  -3  -7  369.15   20.59\r\n   0   3  -7  368.40   19.03\r\n   0  -3   7  395.55   28.47\r\n   0   3  -8  133.22   12.15\r\n   0  -3   8   99.87   14.78\r\n   0  -3   8  135.79   12.54\r\n   0   3   8  119.20   16.05\r\n   0  -3  -8  109.76   11.15\r\n   0  -3   9  510.09   25.16\r\n   0  -3  -9  529.71   24.26\r\n   0   3   9  495.90   34.20\r\n   0   3  -9  504.28   25.13\r\n   0   3  -9  513.53   34.04\r\n   0  -3   9  539.00   34.46\r\n   0   3 -10   70.60   12.64\r\n   0  -3  10   82.62   14.32\r\n   0  -3  10  104.90   12.06\r\n   0   3  10  113.21   17.08\r\n   0   3 -10   88.49   11.72\r\n   0  -3 -10   78.07    9.39\r\n   0   3 -11  532.81   35.92\r\n   0  -3  11  517.80   35.77\r\n   0  -3  11  474.98   26.62\r\n   0  -3 -11  532.66   24.17\r\n   0   3  11  462.63   35.52\r\n   0  -3  12  219.21   23.49\r\n   0  -3 -12  238.95   15.97\r\n   0   3 -12  261.95   25.69\r\n   0   3  13  210.33   26.06\r\n   0   3 -13  232.75   25.18\r\n   0  -3  13  149.03   19.98\r\n   0  -3 -13  149.96   12.60\r\n   0  -3  14  679.12   39.39\r\n   0   3 -14  748.79   45.25\r\n   0   3  14  711.47   49.02\r\n   0  -3  15  506.19   35.48\r\n   0   3  15  525.87   43.87\r\n   0  -3  15  369.43   28.17\r\n   0  -3 -15  420.32   20.32\r\n   0   3 -15  578.85   40.62\r\n   0  -3  16   -4.05    3.90\r\n   0  -3  16    2.36    7.58\r\n   0   3  16   -3.03    6.16\r\n   0   3 -16   -6.47    5.45\r\n   0  -3 -16    3.73    2.21\r\n   0  -3 -16    2.79    2.33\r\n   0   3  17   10.41    8.91\r\n   0  -3  17    5.94    6.83\r\n   0  -3 -17    4.03    2.09\r\n   0   3 -17    0.55    5.81\r\n   0   3 -18    4.93    4.27\r\n   0  -3  18    6.09    7.13\r\n   0   3  18    1.12    7.04\r\n   0  -3  19    8.16    6.17\r\n   0   3 -19    4.99    6.21\r\n   0   3  19    4.97    6.68\r\n   0   3  20   63.63   18.79\r\n   0  -3  20   46.01   12.70\r\n   0   3 -20   78.33   16.57\r\n   0  -3  21   76.66   17.29\r\n   0   3 -21   88.70   17.06\r\n   0   3  21  113.81   24.81\r\n   0  -3  22   92.52   20.47\r\n   0   3 -22   85.58   17.91\r\n   0   3  22   69.87   20.35\r\n   0  -3  23   72.66   18.13\r\n   0   4   0 1722.50   50.36\r\n   0  -4   0 1921.09   62.01\r\n   0  -4   0 1753.42   51.77\r\n   0   4   0 1927.44   60.29\r\n   0   4  -1   34.06    7.72\r\n   0  -4   1   26.57    6.39\r\n   0   4  -1   34.55    9.11\r\n   0   4   1   36.13    8.43\r\n   0  -4  -1   33.40    9.05\r\n   0  -4  -1   26.45    7.38\r\n   0   4   1   30.27    8.26\r\n   0  -4   1   44.23    9.96\r\n   0   4  -2   10.24    4.63\r\n   0   4   2    7.98    4.97\r\n   0  -4   2    9.23    4.42\r\n   0  -4   2    9.60    5.06\r\n   0  -4  -2    3.26    3.22\r\n   0  -4  -2   13.02    4.51\r\n   0   4   2    6.21    4.47\r\n   0   4   3    2.51    3.91\r\n   0  -4   3   -0.50    2.50\r\n   0   4   3    3.76    3.18\r\n   0  -4   3    3.99    4.78\r\n   0  -4  -3    3.49    5.10\r\n   0   4  -3    4.82    3.65\r\n   0   4  -4   87.09    9.66\r\n   0  -4   4   82.80   13.83\r\n   0  -4  -4   84.33   12.90\r\n   0   4   4   92.80   13.00\r\n   0  -4   4   89.67   11.00\r\n   0   4   4  103.63   14.62\r\n   0  -4  -5  255.57   23.98\r\n   0  -4  -5  258.44   21.15\r\n   0  -4   5  255.12   24.80\r\n   0   4  -5  209.69   14.56\r\n   0  -4   5  263.25   18.90\r\n   0   4   5  227.37   21.78\r\n   0   4   6  439.51   31.29\r\n   0  -4  -6  430.63   27.28\r\n   0  -4  -6  477.14   33.85\r\n   0   4  -6  434.04   21.27\r\n   0  -4   6  458.54   33.53\r\n   0  -4   6  490.40   25.94\r\n   0  -4   7    9.80    4.35\r\n   0  -4   7    1.87    3.28\r\n   0  -4  -7   21.53    9.86\r\n   0   4  -7   13.15    4.18\r\n   0   4   7    7.56    6.79\r\n   0  -4  -7   14.03    4.91\r\n   0   4  -7    6.60    5.30\r\n   0  -4   8  333.45   30.05\r\n   0   4  -8  299.17   18.90\r\n   0  -4   8  314.04   21.65\r\n   0   4   8  279.80   26.83\r\n   0  -4  -8  324.99   30.10\r\n   0  -4  -8  313.57   22.65\r\n   0   4  -8  333.17   29.39\r\n   0  -4   9   50.07    8.99\r\n   0   4  -9   75.68   14.07\r\n   0   4   9   44.82   11.63\r\n   0   4  -9   58.06    8.77\r\n   0  -4  -9   61.21    9.92\r\n   0  -4 -10  221.75   18.43\r\n   0   4 -10  244.56   18.48\r\n   0   4  10  205.16   24.21\r\n   0   4  11  184.87   24.29\r\n   0  -4  11  181.18   16.50\r\n   0   4 -11  158.36   21.74\r\n   0   4 -11  157.72   15.74\r\n   0  -4 -11  120.59   13.50\r\n   0   4 -12  144.98   21.22\r\n   0   4  12  160.61   23.59\r\n   0  -4 -12  106.03   12.59\r\n   0  -4  13   28.48    7.39\r\n   0  -4 -13   42.50    7.99\r\n   0   4  13   58.72   16.51\r\n   0   4 -13   65.06   14.23\r\n   0  -4 -14   25.68    5.90\r\n   0   4 -14   36.44   11.85\r\n   0   4  14   25.43    9.96\r\n   0  -4  15    4.37    5.16\r\n   0   4  15    0.64    7.13\r\n   0   4 -15    9.17    7.27\r\n   0   4  16  330.43   36.85\r\n   0  -4  16  265.38   26.88\r\n   0   4 -16  333.03   34.13\r\n   0  -4  17    2.78    4.47\r\n   0   4 -17    0.99    4.72\r\n   0   4  17   -1.30    7.98\r\n   0  -4  18   80.90   15.86\r\n   0   4  18  101.25   21.84\r\n   0   4 -18  124.05   22.05\r\n   0   4 -19   23.68   10.29\r\n   0  -4  19   22.93    9.30\r\n   0   4  19   19.52   10.64\r\n   0  -4  20   96.33   19.21\r\n   0   4  20   74.90   19.41\r\n   0   4 -20  107.15   20.31\r\n   0   4 -21    2.42    5.16\r\n   0   4 -22  151.51   25.31\r\n   0   5   0    0.69    4.34\r\n   0   5   0   -1.26    4.84\r\n   0  -5   0    3.87    7.56\r\n   0  -5   1  344.93   30.35\r\n   0  -5  -1  314.22   28.19\r\n   0   5  -1  319.23   23.98\r\n   0   5  -1  355.92   30.05\r\n   0   5   1  311.81   25.14\r\n   0   5   1  351.19   29.07\r\n   0  -5  -2    9.68    5.50\r\n   0   5  -2    1.54    5.29\r\n   0  -5  -2    2.89    4.23\r\n   0   5   2    0.96    3.77\r\n   0   5   2    2.11    4.59\r\n   0   5  -2    7.43    5.20\r\n   0  -5   2    1.69    3.57\r\n   0  -5  -3   -6.09    4.76\r\n   0   5  -3    0.85    2.80\r\n   0  -5  -3    2.22    4.75\r\n   0   5   3    7.59    6.34\r\n   0   5  -3   -1.59    5.47\r\n   0   5   3   -0.46    4.01\r\n   0   5  -4  917.61   35.38\r\n   0   5   4  874.69   45.36\r\n   0   5  -4  881.00   49.11\r\n   0   5   4  882.96   43.91\r\n   0  -5  -4  891.93   46.13\r\n   0  -5  -4  918.32   48.04\r\n   0  -5  -5  300.82   26.95\r\n   0   5  -5  267.11   18.52\r\n   0   5   5  245.62   24.82\r\n   0   5  -5  320.48   30.42\r\n   0  -5  -5  311.67   28.98\r\n   0   5  -6   11.59    8.03\r\n   0   5   6    4.46    6.08\r\n   0  -5  -6    5.52    5.19\r\n   0  -5  -6    5.57    4.98\r\n   0   5  -6    4.52    3.56\r\n   0  -5   6   -1.71    2.48\r\n   0   5   7  307.60   29.54\r\n   0   5  -7  343.11   32.36\r\n   0   5  -7  298.09   19.49\r\n   0  -5  -7  246.86   23.53\r\n   0   5  -8  243.70   28.25\r\n   0   5   8  216.68   25.58\r\n   0   5  -8  199.48   16.23\r\n   0  -5  -8  149.45   18.59\r\n   0  -5  -9  197.63   21.01\r\n   0   5  -9  281.99   19.52\r\n   0   5   9  256.16   28.73\r\n   0   5  -9  245.38   28.43\r\n   0   5 -10  304.88   21.03\r\n   0   5  10  289.50   31.39\r\n   0   5 -10  350.85   34.37\r\n   0   5  11    2.76    6.26\r\n   0   5 -11    0.29    3.08\r\n   0   5 -11   -4.79    5.85\r\n   0  -5 -11   -5.05    3.89\r\n   0   5 -12   46.71   13.87\r\n   0  -5 -12   43.57    9.49\r\n   0   5  12   57.35   15.56\r\n   0   5 -12   52.90    9.78\r\n   0   5  13   30.82   12.43\r\n   0  -5  13   22.17    7.19\r\n   0   5 -13   27.31   12.03\r\n   0   5 -14  278.36   32.82\r\n   0   5  14  285.85   34.75\r\n   0   5 -15   11.02    8.74\r\n   0   5  15   14.93    8.58\r\n   0   5 -16   -4.70    6.70\r\n   0  -5  16    4.79    4.55\r\n   0   5  16   -6.08    7.99\r\n   0  -5  17   13.73    6.96\r\n   0   5 -17   28.78   11.75\r\n   0   5  17   18.32   10.79\r\n   0   5 -18   44.09   14.71\r\n   0   5  18   31.18   13.20\r\n   0   5 -19    9.91    5.63\r\n   0   5  19    6.25    9.36\r\n   0   5 -20   -0.57    6.77\r\n   0   5 -21    7.09    7.13\r\n   0   6   0  234.59   27.38\r\n   0   6   0  228.56   22.91\r\n   0  -6   0  183.66   21.42\r\n   0   6  -1  698.09   46.57\r\n   0   6   1  671.19   44.73\r\n   0  -6   1  630.41   38.42\r\n   0   6   1  630.27   39.12\r\n   0   6  -1  619.76   37.09\r\n   0  -6   2   20.78    7.69\r\n   0   6  -2   14.09    6.03\r\n   0   6   2   16.99    8.26\r\n   0   6   2   29.46    9.61\r\n   0  -6  -2   26.40   10.23\r\n   0   6  -2   14.38    8.37\r\n   0  -6   3   52.99   11.44\r\n   0   6  -3   43.12    9.43\r\n   0   6   3   47.43   11.74\r\n   0   6  -3   54.62   14.08\r\n   0   6   3   43.77   12.05\r\n   0   6   4   -0.15    4.55\r\n   0   6   4    4.64    4.95\r\n   0   6  -4    2.02    3.55\r\n   0  -6   4   -1.41    4.39\r\n   0   6  -4   -6.27    5.96\r\n   0   6   5  258.37   27.62\r\n   0   6  -5  261.66   30.01\r\n   0   6  -5  252.77   20.10\r\n   0   6  -6  528.21   43.22\r\n   0   6   6  486.99   39.09\r\n   0   6  -6  544.41   28.68\r\n   0   6  -7    3.93    7.70\r\n   0   6   7   10.15    7.86\r\n   0   6  -7    1.00    3.34\r\n   0   6   8  409.22   37.44\r\n   0   6  -8  431.99   39.97\r\n   0   6  -8  442.54   25.42\r\n   0   6   9   99.67   19.42\r\n   0   6  -9   85.26   11.48\r\n   0   6  -9   82.39   18.57\r\n   0  -6  -9  121.78   18.89\r\n   0   6 -10   60.63   16.73\r\n   0   6  10   72.48   16.56\r\n   0  -6  10   60.88   11.42\r\n   0   6 -10   60.60    9.59\r\n   0   6 -11  286.55   20.69\r\n   0   6  11  275.64   33.52\r\n   0   6 -11  342.55   37.65\r\n   0   6 -12   26.84   10.56\r\n   0   6  12   55.07   16.87\r\n   0   6  13    7.22    8.24\r\n   0   6 -13   12.36    9.36\r\n   0   6  14   53.67   17.96\r\n   0   6 -14   36.86   14.66\r\n   0   6  15   14.26    9.80\r\n   0   6 -15   22.43   10.31\r\n   0   6  16   -1.62    5.28\r\n   0   6 -16   10.76    8.10\r\n   0   6 -17   60.81   17.96\r\n   0   6  17   76.46   20.49\r\n   0   6 -18  122.45   24.60\r\n   0   6 -19   33.09   13.89\r\n   0   7   0   -3.53    5.94\r\n   0   7   0    4.01    6.64\r\n   0   7  -1    5.39    8.60\r\n   0   7   1    5.68    7.30\r\n   0   7  -1   -0.74    5.54\r\n   0   7   1   13.72    8.80\r\n   0   7   2  134.05   20.43\r\n   0   7   2  168.53   24.95\r\n   0   7  -2  107.12   20.51\r\n   0   7  -2  128.20   16.91\r\n   0   7   3  143.51   22.19\r\n   0   7   3  138.99   21.26\r\n   0   7  -3  145.99   24.76\r\n   0   7  -3  120.93   15.91\r\n   0   7  -4   10.11    6.34\r\n   0   7  -4    1.49    3.32\r\n   0   7   4   -1.20    5.55\r\n   0   7  -5  261.24   32.75\r\n   0   7  -5  229.95   20.43\r\n   0   7   5  218.66   27.14\r\n   0   7   6   28.64   10.56\r\n   0   7  -6   34.34    8.05\r\n   0   7  -6   36.81   12.68\r\n   0   7  -7   38.65    8.35\r\n   0   7  -7   42.17   13.16\r\n   0   7   7   34.13   11.93\r\n   0   7   8   -4.88    6.90\r\n   0   7  -8   -2.13    5.79\r\n   0   7   9   51.03   15.16\r\n   0   7  -9   47.36   16.55\r\n   0   7 -10  221.26   32.35\r\n   0   7  10  212.58   30.55\r\n   0   7  11  205.18   31.17\r\n   0   7 -11  221.42   32.96\r\n   0   7 -12  211.31   32.80\r\n   0   7  12  189.03   29.98\r\n   0   7 -13    9.76    8.75\r\n   0   7  13   11.92    9.45\r\n   0   7  14    0.64    5.62\r\n   0   7 -14   16.87   13.37\r\n   0   8   0    0.54    6.80\r\n   0   8   0    5.73    4.92\r\n   0   8   1  161.49   26.41\r\n   0   8  -1  116.75   22.33\r\n   0   8   1  125.85   20.84\r\n   0   8  -1  112.43   17.06\r\n   0   8   2  181.31   27.29\r\n   0   8   2  145.52   22.97\r\n   0   8  -2  197.93   30.14\r\n   0   8  -3   48.16   15.34\r\n   0   8   3   24.14   10.70\r\n   0   8   4   -9.47    7.70\r\n   0   8  -4   20.86   10.35\r\n   0   8   5   -8.74   10.02\r\n   0   8  -5   -2.85    9.72\r\n   0   8   6   21.22   10.76\r\n   0   8  -6   15.27    7.28\r\n   0   8   7    9.15   10.18\r\n   0   8  -7    9.36    7.80\r\n   0   8  -8  125.17   24.95\r\n   0   8   8  129.34   24.61\r\n   0   8   9   -0.35    8.75\r\n   0   8  -9   -1.97    8.40\r\n   0   8  10  279.21   36.67\r\n   0   8  11   51.10   16.23\r\n   0   9   0    5.30    7.25\r\n   0   9   2  162.67   25.80\r\n   0   9   3   20.67   10.09\r\n   0   9   4   23.98   13.58\r\n   0   9   5   -1.78    7.48\r\n   0   9   6    6.68    6.66\r\n   0   9   7  -11.43    9.00\r\n   0   9   8  106.59   23.05\r\n  -1   0  24  -12.12    8.52\r\n  -1   0  23   83.50   20.75\r\n  -1   0  22    9.04    8.71\r\n  -1   0  21   42.48   15.76\r\n  -1   0  20    4.68    7.33\r\n  -1   0  19   92.61   19.61\r\n   1   0 -19  157.20   12.14\r\n  -1   0  18   -1.57    9.92\r\n   1   0 -18    1.48    1.95\r\n  -1   0  17 1174.91   64.40\r\n   1   0 -17 1428.24   36.25\r\n  -1   0  16   17.49   10.48\r\n   1   0 -16    0.39    2.34\r\n   1   0 -15 1445.90   35.20\r\n  -1   0  15 1251.30   61.73\r\n  -1   0  14    6.91    5.68\r\n   1   0 -14    2.36    2.41\r\n  -1   0  14    1.01    4.74\r\n   1   0 -13  270.67   14.33\r\n  -1   0  13  306.26   27.72\r\n  -1   0  13  301.45   27.92\r\n  -1   0  12   -1.35    4.41\r\n   1   0 -12   -1.48    1.99\r\n  -1   0  12   -1.36    5.40\r\n  -1   0  11  503.43   18.46\r\n   1   0 -11  493.18   17.78\r\n  -1   0  11  509.05   33.06\r\n  -1   0  10    3.16    1.97\r\n   1   0 -10    0.42    1.39\r\n  -1   0  10   -1.02    4.05\r\n   1   0  -9 3702.73   44.15\r\n  -1   0   9 3540.95   43.90\r\n   1   0  -8    1.15    4.13\r\n  -1   0   8    1.68    1.55\r\n   1   0  -8    0.22    1.59\r\n  -1   0   7  281.74   11.05\r\n   1   0  -7  255.82   19.26\r\n  -1   0   6   -0.06    1.40\r\n   1   0  -6    2.91    3.62\r\n  -1   0   5 2274.75   29.36\r\n   1   0  -5 2371.02   50.64\r\n   1   0  -4    2.07    3.87\r\n   1   0  -3 7822.85   78.38\r\n   1   0  -2    6.16    3.63\r\n   1   0  -1 1646.94   30.61\r\n  -1   0  -2    0.38    2.06\r\n   1   0   2    2.58    2.38\r\n   1   0   3 1919.99   34.27\r\n  -1   0  -3 1948.80   34.24\r\n  -1   0  -4   -1.89    2.99\r\n   1   0   4    1.46    2.93\r\n  -1   0  -5  150.68   11.88\r\n   1   0   5  139.43   11.30\r\n   1   0   6   -0.61    2.97\r\n  -1   0  -6    3.48    3.49\r\n  -1   0  -7 4146.11   71.13\r\n   1   0   7 3938.66   68.75\r\n  -1   0  -7 4039.72   71.90\r\n  -1   0  -8    0.84    3.26\r\n  -1   0  -8   -2.21    4.79\r\n   1   0   8   -2.47    4.71\r\n   1   0   9  182.43   17.13\r\n  -1   0  -9  217.82   18.51\r\n  -1   0  -9  215.20   18.16\r\n  -1   0 -10   -0.05    4.01\r\n   1   0  10    7.68    5.04\r\n  -1   0 -10   -0.88    3.47\r\n   1   0  11 1322.61   50.34\r\n  -1   0 -11 1416.00   48.95\r\n  -1   0 -11 1449.16   53.04\r\n  -1   0 -12    8.85    5.97\r\n   1   0  12    4.47    6.45\r\n   1   0  13 2828.43   80.81\r\n   1   0  14    9.06   10.19\r\n   1   0  15 1679.79   67.61\r\n   1   0  16    0.96    8.17\r\n  -1   0 -16    6.66    6.50\r\n  -1   0 -17    0.80    3.59\r\n   1   0  17   11.90    7.97\r\n   1   0  18   -8.94    7.08\r\n  -1   0 -18   -0.51    3.43\r\n   1   0  19   -2.69    5.77\r\n  -1   0 -19   19.14    7.70\r\n  -1   0 -20   -0.90    2.77\r\n   1   0  20   -9.86    7.78\r\n   1   0  21  405.19   40.75\r\n   1   0  22   -6.65    7.76\r\n   1   0  23   -6.23    6.99\r\n   1   0  24   -7.17    9.15\r\n   1   0  25   69.94   19.49\r\n  -1   1  24  -30.75   13.91\r\n  -1  -1  24   33.96   14.17\r\n  -1  -1  23  195.96   31.41\r\n  -1   1  23  206.19   33.17\r\n  -1  -1  22  130.99   25.50\r\n  -1   1  22  105.77   23.98\r\n  -1  -1  21  234.20   32.25\r\n  -1   1  21  201.92   31.17\r\n  -1   1  20  142.29   25.76\r\n  -1  -1  20  140.30   24.16\r\n  -1   1  19   34.67   13.39\r\n  -1  -1  19   57.48   15.94\r\n  -1   1  18   34.02   12.67\r\n  -1  -1  18   36.21   11.78\r\n   1   1 -18    4.70    4.07\r\n  -1  -1  17   -1.93    5.14\r\n   1   1 -17   -2.64    2.69\r\n   1   1 -16   43.88    8.35\r\n  -1  -1  16   37.00   12.07\r\n  -1   1  16   36.97   11.94\r\n  -1  -1  16   46.35    8.90\r\n   1   1 -15    0.52    2.67\r\n  -1  -1  15   -1.68    3.21\r\n  -1   1  15    2.81    7.42\r\n  -1  -1  15   -1.65    5.55\r\n  -1  -1  14   18.94    8.88\r\n  -1   1  14   16.29   10.28\r\n   1   1 -14   28.82    6.76\r\n  -1  -1  14   15.65    5.28\r\n  -1  -1  14   11.18    6.79\r\n   1   1 -13  608.78   28.52\r\n  -1  -1  13  511.95   35.74\r\n  -1   1  13  586.07   40.06\r\n  -1   1  13  579.86   39.55\r\n  -1  -1  13  564.33   27.73\r\n  -1  -1  13  600.49   37.51\r\n  -1  -1  12  112.32   12.16\r\n   1   1 -12  136.55   13.13\r\n  -1  -1  12  119.03   16.36\r\n  -1   1  12  126.35   18.55\r\n   1   1 -11 2251.57   50.98\r\n   1   1 -11 2135.26   65.90\r\n  -1   1  11 2159.06   70.57\r\n  -1  -1  11 2186.29   51.38\r\n  -1   1  10  662.55   37.64\r\n   1   1 -10  738.84   36.92\r\n  -1  -1  10  750.12   29.28\r\n   1   1 -10  727.75   28.36\r\n  -1   1   9  456.07   29.46\r\n   1   1  -9  447.89   21.59\r\n  -1  -1   9  426.93   21.18\r\n   1   1  -9  455.28   27.73\r\n  -1  -1   9  474.63   27.89\r\n   1   1  -8  315.95   17.66\r\n  -1   1   8  309.90   23.32\r\n  -1  -1   8  301.95   17.31\r\n   1   1  -8  285.02   20.98\r\n  -1   1   7  251.78   19.77\r\n   1   1  -7  260.08   15.41\r\n  -1  -1   7  237.95   14.89\r\n   1   1  -7  225.90   17.71\r\n  -1   1   6  664.79   30.32\r\n  -1  -1   6  635.97   23.51\r\n   1   1  -6  646.62   27.99\r\n   1   1  -6  667.33   24.21\r\n  -1   1   5 4163.10   69.74\r\n   1   1  -5 4163.33   58.34\r\n   1   1  -5 4180.10   66.94\r\n  -1  -1   5 4014.65   57.35\r\n  -1   1   4    6.40    3.79\r\n   1   1  -4    8.36    3.96\r\n  -1   1   4    5.93    2.04\r\n  -1  -1   4    2.78    2.57\r\n   1  -1  -3 7334.70   78.22\r\n   1   1  -3 7516.01   80.11\r\n  -1  -1   3 7120.47   73.61\r\n  -1   1   3 7119.68   56.70\r\n  -1   1   3 7466.89   76.74\r\n  -1   1   2 6176.65   63.91\r\n  -1  -1   2 6010.21   66.84\r\n  -1   1   2 6088.95   58.43\r\n   1  -1  -2 6007.70   63.64\r\n  -1   1   1 6316.74   56.26\r\n   1   1  -1 6478.84   71.40\r\n   1  -1  -1 6249.23   56.12\r\n   1  -1  -1 6377.35   64.78\r\n   1  -1   0   12.36    2.66\r\n   1  -1   0   14.16    4.89\r\n  -1   1   0    8.95    2.43\r\n   1   1   0   10.76    3.74\r\n   1  -1   1 3649.31   56.23\r\n   1  -1   1 3743.24   31.08\r\n   1   1   1 3770.07   55.53\r\n   1  -1   2   20.35    5.11\r\n   1   1   2   14.50    4.72\r\n   1  -1   3 1403.49   38.69\r\n  -1   1  -3 1444.84   19.53\r\n   1  -1   3 1397.85   18.76\r\n   1   1   3 1391.24   36.75\r\n   1  -1   4    4.18    3.25\r\n   1   1   4    3.22    3.36\r\n  -1   1  -4    2.01    1.90\r\n   1  -1   4    4.02    2.05\r\n  -1   1  -5 2142.23   35.72\r\n   1   1   5 2092.36   50.16\r\n   1  -1   5 2143.42   35.42\r\n   1   1   6 2061.21   52.87\r\n   1  -1   6 2126.25   40.51\r\n  -1  -1  -6 2203.37   55.42\r\n  -1   1  -7  199.52   17.38\r\n   1  -1   7  176.05   13.09\r\n  -1  -1  -7  189.91   17.42\r\n   1   1   7  165.15   15.78\r\n  -1   1  -8   12.74    4.47\r\n   1   1   8    8.92    5.39\r\n  -1  -1  -8    3.01    3.12\r\n   1  -1   8   11.11    4.48\r\n   1   1   9  227.36   20.78\r\n  -1  -1  -9  303.64   24.30\r\n  -1   1  -9  254.26   21.08\r\n   1  -1   9  278.60   19.34\r\n  -1  -1 -10  583.24   34.76\r\n   1   1  10  527.31   33.10\r\n   1  -1  10  556.46   29.13\r\n  -1  -1 -11   89.70   14.48\r\n   1  -1  11   99.73   13.15\r\n   1  -1  11   75.71   11.58\r\n   1   1  11   91.54   14.70\r\n  -1  -1 -12    3.04    4.04\r\n   1   1  12   -0.14    4.19\r\n  -1  -1 -12    3.02    4.71\r\n   1  -1  12    6.80    5.43\r\n   1   1  13  325.16   29.53\r\n   1  -1  13  334.48   26.90\r\n  -1  -1 -13  341.79   30.32\r\n   1  -1  14  531.50   35.12\r\n  -1   1 -14  522.91   34.68\r\n   1  -1  14  512.88   34.22\r\n   1   1  14  461.93   36.05\r\n   1  -1  15   11.50    5.14\r\n   1  -1  15    9.74    6.84\r\n   1   1  15   15.58    9.14\r\n  -1   1 -15    9.45    6.40\r\n   1  -1  16    0.05    4.08\r\n   1   1  16    3.47    7.12\r\n  -1   1 -16    7.67    6.49\r\n   1  -1  16   -1.78    4.53\r\n   1  -1  17  374.94   33.13\r\n   1   1  17  365.80   35.61\r\n  -1   1 -17  391.11   32.13\r\n   1   1  18  251.63   30.52\r\n   1  -1  18  255.16   28.66\r\n  -1   1 -18  307.16   28.92\r\n  -1   1 -19    4.70    4.10\r\n  -1  -1 -19   13.50    5.99\r\n   1   1  19   14.30    8.45\r\n   1  -1  19   -1.56    5.82\r\n  -1  -1 -20   48.47   10.77\r\n   1  -1  20   27.85   11.33\r\n  -1   1 -20   56.86   12.89\r\n   1   1  20   58.80   16.17\r\n   1   1  21    6.05    9.16\r\n  -1   1 -21    6.95    6.20\r\n   1  -1  21   -5.16    5.96\r\n   1  -1  22   50.65   14.80\r\n   1   1  22   48.86   16.52\r\n   1  -1  23  237.79   32.68\r\n   1   1  23  208.34   31.82\r\n   1   1  24   48.81   16.34\r\n   1  -1  24   41.33   14.51\r\n  -1  -2  25  -12.09   12.00\r\n  -1  -2  24   65.54   18.71\r\n  -1  -2  23   -5.84    7.34\r\n  -1   2  23    7.15    9.69\r\n  -1   2  22  102.19   23.75\r\n  -1  -2  22   57.56   16.76\r\n  -1   2  21   25.36   14.26\r\n  -1  -2  21   63.64   17.95\r\n  -1  -2  20  372.46   38.99\r\n  -1   2  20  403.28   43.79\r\n   1   2 -20  332.33   28.06\r\n  -1  -2  19   26.15   12.21\r\n   1   2 -19   37.87   10.19\r\n  -1   2  19   58.04   16.52\r\n  -1   2  18   42.22   14.59\r\n  -1  -2  18   36.47   11.84\r\n  -1  -2  18   33.36    8.70\r\n   1   2 -18   60.91   12.23\r\n  -1   2  17  211.70   29.36\r\n  -1  -2  17  210.98   21.83\r\n   1   2 -17  239.07   22.81\r\n  -1  -2  17  195.61   25.94\r\n  -1  -2  16  694.91   38.94\r\n  -1   2  16  653.33   48.96\r\n  -1  -2  16  684.98   45.89\r\n  -1  -2  15   96.46   16.26\r\n  -1  -2  15   77.40   12.86\r\n  -1   2  15   91.71   17.97\r\n  -1  -2  14  310.82   25.07\r\n  -1   2  14  274.58   29.73\r\n  -1  -2  14  327.22   28.59\r\n  -1   2  13  167.95   22.34\r\n   1   2 -13  205.37   22.12\r\n  -1  -2  13  149.24   16.82\r\n  -1  -2  13  172.96   20.14\r\n  -1   2  12  147.07   20.46\r\n  -1  -2  12  144.23   16.67\r\n  -1  -2  12  172.88   19.62\r\n   1   2 -12  161.49   18.84\r\n  -1   2  12  140.40   19.69\r\n  -1  -2  11   -0.41    2.96\r\n  -1   2  11    5.39    5.45\r\n   1   2 -11   -0.88    3.76\r\n  -1  -2  10  465.56   27.56\r\n   1   2 -10  508.37   30.67\r\n   1   2 -10  424.17   26.05\r\n  -1   2  10  501.95   34.19\r\n   1   2  -9    3.70    3.97\r\n  -1  -2   9    4.08    3.05\r\n  -1   2   9    3.33    5.11\r\n  -1  -2   9    0.67    2.79\r\n   1   2  -9    0.13    2.94\r\n  -1  -2   8 1043.23   39.22\r\n   1   2  -8 1059.31   39.28\r\n  -1   2   8 1044.67   44.93\r\n  -1  -2   8 1085.92   40.18\r\n   1   2  -8 1049.35   39.94\r\n  -1   2   7   12.05    5.98\r\n   1   2  -7   12.61    5.27\r\n  -1  -2   7   18.28    5.86\r\n   1  -2  -7   10.90    2.28\r\n   1   2  -7   14.47    6.08\r\n  -1  -2   7   13.41    4.13\r\n   1   2  -6  316.12   20.69\r\n  -1   2   6  323.79   22.70\r\n  -1   2   6  301.51   12.10\r\n   1   2  -6  290.52   19.55\r\n  -1  -2   6  285.54   19.31\r\n  -1   2   6  301.61   21.88\r\n   1  -2  -6  311.54   12.81\r\n  -1  -2   6  294.94   20.27\r\n  -1   2   5  722.22   20.75\r\n  -1  -2   5  777.05   31.82\r\n   1  -2  -5  791.14   22.43\r\n  -1  -2   5  782.96   31.11\r\n  -1   2   5  801.15   33.12\r\n   1   2  -5  799.81   30.71\r\n  -1  -2   4 1117.78   37.57\r\n  -1   2   4 1090.93   27.65\r\n   1  -2  -4 1135.65   28.71\r\n   1  -2  -4 1150.47   37.19\r\n  -1   2   4 1088.69   36.20\r\n  -1  -2   4 1129.00   35.75\r\n   1   2  -4 1103.53   35.02\r\n  -1   2   3    6.65    2.98\r\n   1  -2  -3    5.56    2.50\r\n  -1  -2   3    5.14    3.08\r\n  -1   2   3    2.73    2.35\r\n   1   2  -3    4.37    3.41\r\n   1  -2  -3    5.97    2.69\r\n  -1   2   2  534.83   20.92\r\n   1   2  -2  523.18   23.85\r\n   1  -2  -2  524.48   22.19\r\n  -1   2   2  551.98   21.35\r\n  -1   2   2  489.13   21.00\r\n  -1  -2   2  534.54   25.10\r\n   1  -2  -2  514.22   20.64\r\n  -1   2   1 1193.92   27.85\r\n   1  -2  -1 1126.10   27.09\r\n  -1   2   1 1220.34   27.68\r\n  -1  -2   1 1074.02   35.33\r\n  -1   2   1 1078.04   32.89\r\n   1  -2  -1 1125.59   33.88\r\n   1   2  -1 1081.99   34.77\r\n  -1   2   0 3022.34   57.51\r\n  -1  -2   0 2988.59   58.44\r\n  -1   2   0 3055.71   37.03\r\n   1  -2   0 2937.20   37.35\r\n  -1   2   0 3079.08   37.28\r\n   1  -2   0 2950.74   56.97\r\n   1   2   0 2929.21   57.44\r\n  -1   2  -1   18.35    2.42\r\n   1  -2   1   19.37    2.55\r\n  -1   2  -1   17.87    2.36\r\n   1  -2   1   19.92    5.63\r\n   1   2   1   16.05    5.78\r\n   1  -2   2 7797.14  100.95\r\n   1   2   2 7425.19   94.58\r\n   1  -2   3  166.55   15.65\r\n   1   2   3  163.02   15.02\r\n   1  -2   4    2.14    3.13\r\n   1   2   4    0.93    4.11\r\n   1  -2   5 1579.51   25.47\r\n   1   2   5 1642.20   50.82\r\n   1  -2   5 1525.63   21.49\r\n   1  -2   5 1609.70   51.35\r\n   1  -2   6   -2.05    1.88\r\n   1  -2   6    0.17    1.49\r\n   1  -2   6    0.55    2.84\r\n   1   2   6    2.36    4.00\r\n   1  -2   7 3063.06   47.96\r\n   1  -2   7 3104.03   75.61\r\n   1   2   7 2985.61   73.96\r\n   1  -2   7 2884.04   43.50\r\n   1  -2   8   18.28    7.42\r\n   1  -2   8   10.01    3.40\r\n   1   2   8   14.94    7.80\r\n   1  -2   8   10.52    3.87\r\n   1   2   9    4.57    4.30\r\n  -1  -2  -9    3.99    4.42\r\n   1  -2   9    8.84    5.66\r\n   1  -2   9    5.77    3.08\r\n   1  -2   9    4.30    2.35\r\n   1   2  10  399.22   30.66\r\n   1  -2  10  403.02   30.14\r\n   1  -2  10  379.02   21.40\r\n   1  -2  10  409.65   23.46\r\n  -1  -2 -10  472.19   34.11\r\n   1  -2  11   99.71   11.99\r\n  -1   2 -11   83.04   14.05\r\n   1  -2  11   81.99   14.16\r\n   1   2  11   90.77   15.09\r\n  -1  -2 -11   91.92   16.12\r\n   1  -2  11   88.96   11.97\r\n   1  -2  12  484.00   28.91\r\n   1   2  12  435.46   34.26\r\n   1  -2  12  464.31   27.00\r\n   1  -2  12  494.75   35.10\r\n  -1   2 -12  488.44   33.94\r\n   1   2  13   14.34    7.39\r\n   1  -2  13    2.01    1.90\r\n   1  -2  13   16.18    6.98\r\n  -1   2 -13   24.04    8.63\r\n   1   2  14  406.76   35.58\r\n   1  -2  14  456.90   31.05\r\n  -1   2 -14  435.96   33.59\r\n  -1   2 -15  296.17   28.52\r\n   1   2  15  249.48   28.75\r\n   1  -2  15  266.20   24.87\r\n   1  -2  15  243.68   22.66\r\n   1  -2  16    4.25    5.00\r\n   1  -2  16    0.79    2.45\r\n   1   2  16    2.44    5.96\r\n  -1   2 -16   -0.73    5.79\r\n   1  -2  17    5.73    3.90\r\n   1   2  17   -3.20    6.05\r\n   1  -2  17    8.75    5.60\r\n   1  -2  18   47.78   12.52\r\n   1   2  18   25.18   10.36\r\n  -1   2 -18   29.49   10.18\r\n   1   2  19   51.09   14.80\r\n   1  -2  19   19.27    8.48\r\n  -1   2 -19   61.94   14.41\r\n   1   2  20  286.60   35.61\r\n  -1   2 -20  351.50   34.33\r\n  -1   2 -21  -12.26    7.38\r\n   1  -2  21   -7.59    6.42\r\n   1   2  21  -11.22    8.72\r\n   1   2  22  141.83   26.94\r\n  -1   2 -22  211.61   28.04\r\n   1  -2  22  196.28   27.54\r\n   1   2  23   -2.14    7.21\r\n  -1  -3  24   -1.02    5.59\r\n  -1  -3  23    7.31    7.32\r\n  -1   3  22   42.83   14.72\r\n  -1  -3  22   43.45   14.53\r\n  -1   3  21  250.48   36.15\r\n   1   3 -21  201.04   25.13\r\n  -1  -3  21  166.01   26.48\r\n  -1   3  20  322.29   40.06\r\n  -1  -3  20  294.64   34.32\r\n   1   3 -20  266.20   28.45\r\n  -1   3  19    0.09    5.63\r\n  -1  -3  19   -1.13    5.39\r\n   1   3 -19   13.27    7.03\r\n  -1   3  18    2.43    8.04\r\n  -1  -3  18   10.14    6.86\r\n   1   3 -18    6.72    5.39\r\n   1   3 -17   75.17   15.11\r\n  -1  -3  17   51.99   13.47\r\n  -1   3  17   47.95   14.74\r\n  -1   3  16  108.78   20.95\r\n   1   3 -16  119.37   17.99\r\n  -1  -3  15    7.75    5.28\r\n   1   3 -15   -1.92    4.22\r\n  -1   3  15    2.76    7.01\r\n  -1  -3  15    5.47    5.37\r\n  -1   3  14   28.89   11.80\r\n   1   3 -14   20.91    8.30\r\n  -1  -3  14   25.09    7.82\r\n  -1  -3  14   21.35    7.07\r\n   1   3 -14   33.89    9.98\r\n   1   3 -13  172.77   20.29\r\n  -1  -3  13  155.69   19.69\r\n   1   3 -13  132.63   17.93\r\n  -1   3  13  145.22   22.18\r\n  -1  -3  13  152.69   18.14\r\n   1   3 -12  373.03   28.48\r\n   1   3 -12  412.27   30.93\r\n  -1   3  12  378.56   33.83\r\n  -1  -3  12  370.48   29.69\r\n  -1  -3  12  410.31   29.46\r\n   1  -3 -11    0.11    1.07\r\n   1  -3 -11   -3.02    3.88\r\n  -1   3  11    1.68    4.32\r\n  -1  -3  11    2.82    3.75\r\n   1   3 -11    4.09    4.46\r\n   1   3 -11   -1.79    3.84\r\n   1  -3 -10  105.90    8.25\r\n   1  -3 -10   96.04   15.72\r\n  -1   3  10   97.57   16.35\r\n   1   3 -10  117.15   15.99\r\n  -1  -3  10  100.34   14.81\r\n   1   3 -10  113.65   14.68\r\n   1  -3  -9   53.40   11.80\r\n   1   3  -9   34.93    8.22\r\n  -1   3   9   34.93    9.50\r\n   1  -3  -9   53.42    6.50\r\n  -1  -3   9   46.35   10.06\r\n   1  -3  -8 1228.83   52.76\r\n  -1   3   8 1228.02   51.73\r\n  -1  -3   8 1255.67   50.20\r\n   1  -3  -8 1227.84   32.34\r\n  -1  -3   8 1240.00   45.03\r\n   1   3  -8 1150.35   43.21\r\n  -1   3   7   18.05    6.85\r\n  -1  -3   7   25.52    7.30\r\n  -1  -3   7   14.68    5.24\r\n   1  -3  -7   19.14    4.62\r\n   1   3  -7   12.40    5.21\r\n  -1   3   7   10.42    3.24\r\n  -1   3   6  518.67   22.48\r\n   1  -3  -6  550.88   23.93\r\n  -1   3   6  519.48   30.23\r\n  -1  -3   6  566.67   32.69\r\n  -1  -3   6  530.61   29.02\r\n   1   3  -6  529.66   27.59\r\n   1   3  -5  129.99   13.61\r\n   1  -3  -5  146.20   15.81\r\n  -1   3   5  128.60   14.33\r\n   1  -3  -5  160.29   13.66\r\n  -1   3   5  158.36   13.15\r\n  -1  -3   5  133.38   14.69\r\n  -1  -3   5  169.28   17.71\r\n  -1   3   4  326.99   21.69\r\n  -1  -3   4  318.55   21.92\r\n   1  -3  -4  315.34   21.64\r\n  -1   3   4  340.11   19.69\r\n  -1  -3   4  327.73   24.01\r\n   1   3  -4  290.35   20.23\r\n   1  -3  -4  322.05   19.78\r\n  -1  -3   3  821.97   34.75\r\n   1   3  -3  767.92   32.38\r\n   1  -3  -3  802.14   32.21\r\n   1  -3  -3  797.14   32.16\r\n  -1   3   3  761.57   30.55\r\n  -1  -3   3  823.46   37.42\r\n  -1   3   3  861.95   32.74\r\n   1   3  -2 2805.64   63.07\r\n   1  -3  -2 2870.80   57.62\r\n  -1   3   2 2810.63   54.43\r\n  -1  -3   2 2977.89   65.76\r\n  -1  -3   2 2995.44   70.36\r\n  -1   3   2 3002.09   63.43\r\n   1  -3  -2 2866.13   62.95\r\n  -1  -3   1  723.43   34.12\r\n   1  -3  -1  733.95   26.81\r\n  -1   3   1  765.04   32.99\r\n  -1   3   1  737.65   25.75\r\n   1  -3  -1  743.59   32.88\r\n   1   3  -1  661.86   31.07\r\n   1  -3   0    1.75    2.91\r\n   1  -3   0    7.47    4.57\r\n  -1  -3   0    7.64    4.19\r\n  -1   3   0    0.32    3.72\r\n   1   3   0    8.12    4.64\r\n  -1   3   0    0.78    2.16\r\n   1   3   1  658.80   32.27\r\n  -1   3  -1  696.06   20.56\r\n  -1   3  -1  649.80   32.36\r\n  -1  -3  -1  634.33   31.84\r\n   1  -3   1  650.05   33.00\r\n   1  -3   1  652.23   21.09\r\n   1  -3   2  235.16   11.33\r\n  -1   3  -2  239.09   11.02\r\n   1  -3   2  261.09   21.55\r\n   1   3   2  240.71   19.86\r\n  -1  -3  -2  229.11   19.13\r\n   1   3   3  169.47   17.07\r\n   1  -3   3  168.18    8.79\r\n   1  -3   3  180.22   18.38\r\n  -1  -3  -3  175.91   16.54\r\n  -1  -3  -4   63.43   10.17\r\n   1  -3   4   55.66   10.52\r\n   1  -3   4   57.25    5.21\r\n   1   3   4   60.93   11.23\r\n   1   3   5   42.91    9.27\r\n   1  -3   5   54.53   10.67\r\n  -1  -3  -5   57.65    9.66\r\n   1  -3   5   52.78    5.09\r\n   1  -3   6  292.32   12.96\r\n  -1  -3  -6  311.77   22.14\r\n   1   3   6  272.73   23.97\r\n  -1  -3  -7  891.54   37.83\r\n   1  -3   7  972.81   47.52\r\n   1   3   7  908.15   44.91\r\n   1  -3   8  291.85   27.04\r\n   1  -3   8  276.56   15.36\r\n   1   3   8  292.97   26.37\r\n   1  -3   8  285.09   12.95\r\n   1  -3   9  356.25   30.23\r\n  -1  -3  -9  324.53   29.29\r\n   1  -3   9  292.19   17.12\r\n   1  -3   9  300.98   14.92\r\n  -1   3  -9  341.32   29.18\r\n   1   3   9  268.79   26.20\r\n   1  -3  10  520.94   21.84\r\n   1   3  10  501.41   37.01\r\n   1  -3  10  548.88   38.20\r\n  -1   3 -10  473.48   34.86\r\n   1  -3  10  504.68   24.66\r\n  -1   3 -11    4.40    4.97\r\n   1  -3  11    0.21    2.38\r\n   1  -3  11   -6.29    3.17\r\n   1   3  11   -2.34    5.57\r\n   1   3  12  123.74   19.43\r\n   1  -3  12  137.22   14.84\r\n   1  -3  12  136.27   13.33\r\n  -1   3 -12  122.10   18.72\r\n   1  -3  13   54.12    9.08\r\n   1   3  13   42.16   12.16\r\n   1  -3  13   41.64    8.26\r\n  -1   3 -13   49.73   12.48\r\n   1  -3  14  157.23   17.58\r\n  -1   3 -14  125.48   20.13\r\n   1   3  14  144.31   22.53\r\n   1  -3  15  205.00   20.80\r\n  -1   3 -15  193.48   25.25\r\n   1   3  15  197.00   27.03\r\n   1  -3  16   24.94    8.09\r\n  -1   3 -16   22.39    9.50\r\n   1   3  16   24.28   10.08\r\n   1   3  17  188.03   28.58\r\n   1  -3  17  137.73   18.80\r\n  -1   3 -17  224.24   28.03\r\n   1  -3  18  161.35   21.21\r\n   1   3  18  213.00   30.50\r\n  -1   3 -18  224.70   28.41\r\n   1   3  19   49.50   16.78\r\n   1  -3  19   38.90   11.56\r\n  -1   3 -19   52.09   14.76\r\n   1   3  20   74.11   19.36\r\n   1  -3  20   58.86   14.01\r\n  -1   3 -20   54.96   15.18\r\n   1   3  21    7.37    7.45\r\n  -1   3 -21   15.33    8.35\r\n  -1   3 -22   13.61    9.58\r\n  -1  -4  23   66.69   18.74\r\n  -1  -4  22    7.84    8.22\r\n  -1  -4  21   -3.40    5.71\r\n   1   4 -21    5.69    5.55\r\n  -1   4  21    7.63    9.10\r\n   1   4 -20   21.50    9.43\r\n  -1   4  20    2.36    6.94\r\n  -1  -4  19   28.02   10.99\r\n   1   4 -19   44.49   12.96\r\n  -1   4  19   65.00   19.10\r\n  -1   4  18   18.85    8.93\r\n   1   4 -18   18.45    7.99\r\n  -1   4  17   12.64   10.94\r\n   1   4 -17   25.17    9.77\r\n   1   4 -16   18.18    8.27\r\n  -1   4  16    5.13    5.09\r\n  -1   4  15  250.59   31.54\r\n   1   4 -15  229.38   25.21\r\n   1   4 -15  288.41   30.36\r\n  -1  -4  15  246.07   25.59\r\n  -1  -4  14    9.76    4.67\r\n   1   4 -14    0.79    4.68\r\n   1   4 -14   11.25    7.25\r\n  -1   4  14   12.56    7.71\r\n  -1   4  13  140.12   22.41\r\n   1  -4 -13   92.63    8.33\r\n  -1  -4  13  104.61   15.74\r\n   1   4 -13  141.47   20.96\r\n   1   4 -13  148.59   19.16\r\n   1   4 -12  332.11   30.95\r\n  -1   4  12  324.25   32.77\r\n   1  -4 -12  230.64   14.65\r\n  -1  -4  12  354.42   28.03\r\n   1   4 -12  320.59   26.80\r\n  -1   4  11   11.73    8.41\r\n   1  -4 -11    5.06    3.03\r\n   1   4 -11    7.63    6.79\r\n   1   4 -11    9.06    5.92\r\n   1   4 -10  556.22   38.53\r\n  -1   4  10  593.28   41.12\r\n   1  -4 -10  455.64   23.49\r\n   1   4 -10  532.07   32.90\r\n  -1  -4  10  598.36   36.33\r\n   1  -4  -9 1050.63   54.23\r\n  -1   4   9  980.71   50.88\r\n   1   4  -9 1041.50   51.87\r\n  -1  -4   9 1063.67   52.98\r\n   1   4  -9  944.32   42.08\r\n   1  -4  -9  992.39   35.85\r\n  -1  -4   9 1092.62   47.92\r\n  -1   4   8    0.62    3.32\r\n  -1  -4   8    0.69    3.57\r\n   1  -4  -8    1.50    3.83\r\n   1  -4  -8    0.25    2.83\r\n   1   4  -8    5.25    3.60\r\n   1   4  -8    4.22    5.92\r\n  -1   4   8    0.34    4.48\r\n   1  -4  -7   -1.34    2.42\r\n   1  -4  -7    0.66    3.73\r\n  -1  -4   7    1.53    4.94\r\n   1   4  -7    2.63    3.96\r\n   1   4  -7   -3.69    4.78\r\n  -1   4   7    1.34    4.60\r\n  -1   4   7   -0.38    3.08\r\n   1  -4  -6   59.62    9.89\r\n  -1   4   6   60.95   11.71\r\n   1   4  -6   65.78   10.74\r\n  -1   4   6   67.44   10.52\r\n  -1  -4   6   71.59   13.17\r\n   1   4  -5  182.77   17.21\r\n  -1  -4   5  221.47   23.27\r\n   1  -4  -5  213.61   18.98\r\n  -1   4   5  212.74   18.29\r\n  -1   4   5  208.61   19.80\r\n  -1   4   4  187.37   18.22\r\n  -1  -4   4  186.30   21.02\r\n   1   4  -4  175.70   17.22\r\n   1  -4  -4  158.62   17.01\r\n  -1   4   4  171.11   16.93\r\n  -1   4   3  512.82   29.41\r\n   1  -4  -3  542.34   30.19\r\n  -1  -4   3  527.44   34.61\r\n   1   4  -3  486.79   28.59\r\n   1  -4  -3  494.84   30.27\r\n  -1   4   3  473.04   27.36\r\n  -1   4   2   32.23    7.39\r\n   1  -4  -2   46.15    9.95\r\n   1   4  -2   30.54    8.59\r\n   1  -4  -2   39.23    7.88\r\n  -1  -4   2   42.37   10.26\r\n  -1   4   2   40.12    9.20\r\n   1  -4  -1 1639.55   47.00\r\n  -1   4   1 1595.23   44.57\r\n  -1   4   1 1665.18   55.89\r\n   1   4  -1 1602.90   54.31\r\n   1  -4  -1 1703.63   58.26\r\n  -1  -4   1 1694.17   60.53\r\n  -1   4   0   12.94    4.66\r\n   1  -4   0   19.47    5.36\r\n   1   4   0   13.73    5.79\r\n   1   4   0   11.81    5.72\r\n  -1  -4   0   20.25    7.30\r\n   1  -4   0   15.11    6.28\r\n  -1   4   0   21.05    7.67\r\n  -1   4  -1  672.70   25.54\r\n   1  -4   1  660.87   26.41\r\n  -1  -4  -1  736.59   39.17\r\n   1  -4   1  696.67   39.21\r\n   1   4   1  644.64   35.64\r\n  -1   4  -1  748.22   39.76\r\n  -1   4  -2 1403.88   55.42\r\n  -1  -4  -2 1476.84   56.03\r\n   1  -4   2 1478.97   37.17\r\n   1   4   2 1375.29   53.26\r\n  -1  -4  -2 1442.50   54.66\r\n  -1   4  -2 1497.57   35.52\r\n  -1  -4  -3  835.03   41.30\r\n   1  -4   3  747.13   24.89\r\n  -1  -4  -3  746.20   40.44\r\n  -1   4  -3  845.94   43.92\r\n   1   4   3  699.38   38.21\r\n  -1   4  -3  698.62   18.44\r\n   1  -4   3  788.62   43.55\r\n   1   4   4   64.86   12.68\r\n   1  -4   4   67.14    7.41\r\n   1  -4   4   77.86   14.55\r\n  -1   4  -4   64.43    4.56\r\n  -1  -4  -4   61.30   11.60\r\n  -1  -4  -4   86.66   14.44\r\n   1  -4   5   90.25   15.60\r\n  -1  -4  -5  115.76   17.53\r\n  -1  -4  -5  110.72   15.40\r\n   1  -4   5  102.56    8.86\r\n   1   4   5   89.39   15.13\r\n   1  -4   6  219.40   24.35\r\n  -1  -4  -6  211.16   21.03\r\n  -1  -4  -6  226.98   24.54\r\n   1  -4   6  225.53   13.17\r\n   1   4   6  206.26   22.81\r\n   1   4   7    3.66    4.60\r\n   1  -4   7    2.27    2.09\r\n  -1  -4  -7   -1.10    5.81\r\n  -1   4  -7    8.89    5.39\r\n  -1  -4  -7    4.11    4.70\r\n   1  -4   7   -1.05    5.64\r\n   1  -4   8    6.48    2.35\r\n   1   4   8    5.14    5.49\r\n  -1   4  -8   13.83    7.44\r\n  -1  -4  -8    2.87    4.34\r\n  -1  -4  -9  510.29   32.29\r\n   1  -4   9  566.25   23.47\r\n  -1   4  -9  520.11   39.00\r\n   1   4   9  557.33   40.86\r\n   1  -4  10   14.08    4.39\r\n  -1  -4 -10   11.88    4.25\r\n   1  -4  10   14.84    4.43\r\n  -1   4 -10   13.18    6.86\r\n   1   4  10    7.79    6.30\r\n  -1   4 -11  300.60   31.31\r\n   1   4  11  245.44   28.74\r\n   1  -4  11  300.74   19.09\r\n   1  -4  11  290.49   19.41\r\n   1  -4  12    7.56    3.18\r\n   1  -4  12    0.31    2.76\r\n   1   4  12   10.10    6.84\r\n  -1   4 -12    4.27    4.52\r\n  -1  -4 -12    4.49    3.58\r\n  -1   4 -13  914.80   55.69\r\n   1  -4  13  726.31   34.26\r\n  -1  -4 -13  955.47   44.58\r\n   1   4  13  915.08   58.08\r\n   1  -4  13  671.89   27.86\r\n  -1   4 -14  191.34   26.07\r\n   1  -4  14  154.80   16.56\r\n   1   4  14  227.15   30.00\r\n  -1  -4 -14  205.87   20.74\r\n   1  -4  14  190.74   15.94\r\n   1  -4  15   -1.45    3.94\r\n  -1   4 -15  -11.33    7.61\r\n   1  -4  16    8.36    5.86\r\n  -1   4 -16    6.38    6.62\r\n   1   4  16   10.18   10.15\r\n   1  -4  17    4.63    3.99\r\n  -1   4 -17   -1.85    5.67\r\n   1   4  17   13.23   10.90\r\n   1   4  18   14.74    9.58\r\n  -1   4 -18    4.10    6.87\r\n   1   4  19  111.99   23.82\r\n  -1   4 -19  122.07   24.02\r\n   1   4  20   50.78   17.38\r\n  -1   4 -20   27.98   12.89\r\n  -1   4 -21  105.76   22.03\r\n  -1   4 -22   32.32   14.61\r\n   1   5 -21  106.73   22.43\r\n   1   5 -20   -4.03    5.97\r\n  -1  -5  20   15.25    9.12\r\n   1   5 -19   35.97   14.02\r\n  -1   5  19   34.16   15.26\r\n   1   5 -18  108.48   21.20\r\n  -1   5  18   94.78   23.04\r\n   1   5 -17   40.76   13.43\r\n  -1   5  17   31.44   13.74\r\n   1   5 -16   14.51    6.86\r\n  -1   5  16   25.18   12.50\r\n  -1   5  15   41.84   14.15\r\n   1   5 -15   42.56   12.82\r\n   1   5 -15   51.17   11.91\r\n  -1   5  14   52.00   15.34\r\n   1   5 -14   55.92   11.65\r\n   1   5 -14   75.19   17.07\r\n   1   5 -13   34.71    9.06\r\n  -1   5  13   49.14   14.94\r\n   1   5 -13   47.10   12.82\r\n   1   5 -12   86.63   14.25\r\n   1  -5 -12   85.59   11.76\r\n  -1   5  12   94.13   18.92\r\n   1   5 -12   99.49   19.21\r\n   1   5 -11  760.24   50.66\r\n  -1   5  11  771.92   51.06\r\n  -1  -5  11  888.03   47.65\r\n   1   5 -11  797.65   41.99\r\n  -1   5  10  394.19   35.62\r\n  -1  -5  10  453.78   33.88\r\n   1  -5 -10  320.78   24.29\r\n   1   5 -10  445.39   38.61\r\n   1   5 -10  446.76   30.89\r\n   1  -5  -9   78.76   12.22\r\n  -1  -5   9  105.64   16.44\r\n  -1   5   9  124.59   19.79\r\n   1   5  -9  114.97   15.60\r\n   1   5  -9  113.27   19.77\r\n  -1   5   8  388.73   26.51\r\n  -1   5   8  319.70   29.92\r\n   1   5  -8  360.82   26.84\r\n   1   5  -8  339.39   32.78\r\n  -1  -5   8  327.33   28.00\r\n   1  -5  -7    4.93    3.65\r\n   1   5  -7    6.62    4.58\r\n  -1  -5   7    4.14    3.95\r\n   1  -5  -7    0.86    4.95\r\n  -1   5   7    2.73    4.59\r\n   1   5  -7    6.10    6.12\r\n  -1   5   7    4.46    4.28\r\n   1  -5  -6    3.61    3.23\r\n  -1  -5   6   -0.24    4.62\r\n   1   5  -6    4.97    4.10\r\n   1  -5  -6    6.21    5.79\r\n  -1   5   6    3.77    4.95\r\n   1   5  -6   -7.08    7.35\r\n  -1   5   6    0.70    5.61\r\n  -1   5   5  440.28   31.43\r\n   1   5  -5  469.71   37.13\r\n  -1  -5   5  433.96   31.09\r\n   1   5  -5  421.68   28.69\r\n   1  -5  -5  436.13   32.85\r\n   1  -5  -5  469.28   32.34\r\n  -1   5   5  461.08   30.71\r\n  -1   5   4   29.91    9.13\r\n   1  -5  -4   27.40    8.67\r\n   1   5  -4   24.18    8.79\r\n   1  -5  -4   37.05   10.19\r\n  -1  -5   4   40.24   10.07\r\n   1   5  -4   32.87    8.01\r\n  -1   5   4   18.20    6.29\r\n  -1   5   3   -3.71    3.66\r\n  -1   5   3    6.45    5.88\r\n   1   5  -3    4.74    5.67\r\n  -1  -5   3    6.85    6.26\r\n   1  -5  -3    2.90    4.41\r\n   1   5  -3   -4.11    4.14\r\n   1  -5  -2   91.75   15.69\r\n  -1  -5   2   87.50   14.61\r\n  -1   5   2   82.90   14.25\r\n   1   5  -2   70.28   13.03\r\n  -1   5   2   59.76   10.78\r\n   1   5  -2   80.42   15.02\r\n  -1   5   1  698.52   33.07\r\n  -1  -5   1  790.53   43.63\r\n   1  -5  -1  796.56   45.72\r\n   1   5  -1  780.91   45.31\r\n  -1   5   1  759.34   42.90\r\n   1   5  -1  698.92   39.69\r\n   1   5   0  190.07   22.66\r\n   1  -5   0  176.06   16.88\r\n  -1  -5   0  168.18   20.30\r\n  -1   5   0  180.23   21.45\r\n  -1   5   0  152.34   15.52\r\n   1  -5   0  172.57   21.71\r\n  -1  -5   0  166.41   21.30\r\n   1   5   0  175.02   20.64\r\n  -1  -5  -1   70.78   13.71\r\n   1   5   1   80.34   14.25\r\n   1  -5   1   84.83   11.50\r\n  -1   5  -1   65.02   10.01\r\n   1  -5   1   75.20   15.21\r\n  -1   5  -1   71.97   13.94\r\n  -1  -5  -1   63.58   12.92\r\n  -1   5  -2  221.70   16.49\r\n   1  -5   2  240.89   18.05\r\n  -1  -5  -2  233.27   24.71\r\n  -1  -5  -2  236.07   25.24\r\n  -1   5  -2  250.03   26.21\r\n   1   5   2  198.38   22.39\r\n  -1   5  -3    6.84    4.83\r\n  -1   5  -3   11.37    3.20\r\n  -1  -5  -3   12.65    6.36\r\n  -1  -5  -3   11.61    7.49\r\n   1  -5   3   13.77    4.46\r\n   1   5   3    5.03    5.44\r\n   1   5   4   31.01   10.38\r\n   1  -5   4   33.72    6.37\r\n  -1   5  -4   30.00    9.90\r\n  -1  -5  -4   30.11    9.75\r\n  -1   5  -4   36.54    4.78\r\n   1  -5   5  520.72   23.61\r\n   1   5   5  481.62   36.45\r\n  -1   5  -5  548.24   40.88\r\n  -1   5  -5  484.67   14.09\r\n   1  -5   6  413.40   20.67\r\n   1   5   6  399.80   34.74\r\n  -1  -5  -6  332.28   29.00\r\n  -1   5  -6  406.38   35.87\r\n   1   5   7  531.07   40.68\r\n   1  -5   7  602.99   24.93\r\n  -1   5  -7  522.47   41.63\r\n   1   5   8   11.38    6.99\r\n   1  -5   8    0.80    2.28\r\n  -1  -5  -8   14.07    6.42\r\n  -1   5  -8    9.69    7.37\r\n  -1  -5  -9  315.27   28.42\r\n  -1   5  -9  298.44   32.62\r\n   1   5   9  291.31   31.67\r\n   1  -5   9  217.16   15.17\r\n   1   5  10   -1.29    6.02\r\n   1  -5  10    0.16    1.43\r\n  -1   5 -10   -1.85    7.25\r\n  -1  -5 -10    0.29    5.58\r\n   1   5  11   12.66    8.83\r\n  -1   5 -11    7.13    7.72\r\n   1  -5  11   14.51    4.68\r\n   1  -5  11    1.23    2.13\r\n  -1  -5 -11    4.61    4.70\r\n   1   5  12   40.47   13.59\r\n  -1  -5 -12   40.64   10.96\r\n   1  -5  12   36.57    7.60\r\n  -1   5 -12   42.69   14.24\r\n   1   5  13   53.03   14.37\r\n   1  -5  13   61.04    9.86\r\n  -1   5 -13   72.58   18.09\r\n  -1   5 -14  121.19   23.29\r\n   1   5  14  112.48   22.22\r\n   1   5  15   29.10   13.17\r\n  -1   5 -15   15.49   10.01\r\n   1   5  16   78.48   20.68\r\n  -1   5 -16   26.23   11.57\r\n  -1   5 -17  390.34   42.27\r\n   1   5  17  471.56   49.01\r\n   1   5  18   50.58   17.62\r\n  -1   5 -18   11.86    9.15\r\n  -1   5 -19    1.07    5.69\r\n  -1   5 -20  -12.24    9.01\r\n  -1   5 -21   71.14   19.87\r\n   1   6 -20  -30.59   13.63\r\n   1   6 -19   39.40   14.56\r\n   1   6 -18  101.59   21.56\r\n   1   6 -17   25.37   11.20\r\n  -1   6  17   24.29   12.32\r\n   1   6 -16  104.00   22.22\r\n  -1   6  16   92.60   21.07\r\n   1   6 -15   54.73   16.35\r\n  -1   6  15   54.18   15.95\r\n   1   6 -14  105.47   21.58\r\n   1   6 -14  119.11   17.88\r\n  -1   6  14  122.67   23.67\r\n   1   6 -13   10.57    6.64\r\n   1   6 -13    1.14    7.36\r\n  -1   6  13   -8.01    7.22\r\n   1   6 -12   -2.57    4.89\r\n  -1   6  12   11.63   10.16\r\n   1   6 -12    6.27    6.07\r\n  -1   6  11  108.42   21.11\r\n   1   6 -11   69.31   13.03\r\n   1   6 -11   74.10   18.28\r\n  -1   6  10   50.15   13.89\r\n   1   6 -10   42.15    9.92\r\n   1  -6 -10   65.91   13.57\r\n   1   6 -10   63.26   16.80\r\n   1   6  -9   24.92    9.85\r\n   1  -6  -9   42.95   10.26\r\n  -1   6   9   31.34   11.38\r\n   1   6  -9   27.44    8.05\r\n   1  -6  -8   46.95   11.44\r\n   1   6  -8   38.41   12.67\r\n  -1   6   8   43.08   12.97\r\n   1   6  -8   54.12   11.40\r\n   1   6  -7  166.79   24.78\r\n  -1   6   7  186.25   23.96\r\n   1  -6  -7  188.59   22.90\r\n  -1   6   7  190.95   21.73\r\n   1   6  -7  175.30   19.66\r\n   1   6  -6  387.20   37.40\r\n  -1   6   6  367.25   32.35\r\n   1   6  -6  377.46   29.01\r\n  -1  -6   6  375.40   31.73\r\n   1  -6  -6  371.74   32.64\r\n  -1   6   6  405.55   31.93\r\n  -1   6   5  110.02   17.96\r\n  -1  -6   5  134.80   19.80\r\n   1   6  -5  117.01   16.87\r\n   1  -6  -5  119.03   19.13\r\n  -1   6   5  116.56   17.55\r\n   1   6  -5   91.15   18.30\r\n   1   6  -4   74.50   13.96\r\n   1  -6  -4  102.61   16.97\r\n  -1   6   4   89.46   15.28\r\n  -1   6   4   97.70   16.89\r\n   1   6  -4  105.79   18.92\r\n   1   6  -3    2.85    3.64\r\n   1  -6  -3    2.76    3.92\r\n  -1   6   3    9.36    7.26\r\n   1   6  -3   16.68    8.73\r\n  -1   6   3    6.72    5.18\r\n   1  -6  -2    1.16    3.03\r\n  -1   6   2    4.31    5.08\r\n  -1   6   2    1.28    4.59\r\n   1   6  -2    2.44    5.33\r\n   1   6  -2    0.77    5.05\r\n  -1   6   1   83.25   16.61\r\n   1   6  -1   95.75   16.49\r\n   1   6  -1   84.15   16.80\r\n  -1   6   1   86.45   13.39\r\n  -1   6   0  156.94   17.19\r\n   1   6   0  132.69   20.00\r\n  -1   6   0  187.84   24.34\r\n   1   6   1   43.57   12.15\r\n  -1   6  -1   42.60    8.96\r\n  -1   6  -1   48.88   13.08\r\n  -1   6  -2  181.76   24.61\r\n   1   6   2  152.50   21.71\r\n  -1   6  -2  175.76   16.67\r\n   1   6   3   82.10   16.63\r\n  -1   6  -3   83.62    9.23\r\n  -1   6  -3  109.56   19.18\r\n   1   6   4   30.42   11.99\r\n  -1   6  -4   18.56    3.88\r\n   1  -6   4    9.18    3.48\r\n  -1   6  -4   18.04    8.08\r\n  -1   6  -5  332.52   14.08\r\n   1   6   5  343.26   33.52\r\n  -1   6  -5  341.84   34.97\r\n   1  -6   6  121.87   12.63\r\n   1   6   6  160.60   23.84\r\n  -1   6  -7  696.57   51.63\r\n   1  -6   7  753.55   30.71\r\n   1   6   7  649.00   48.03\r\n   1   6   8   35.95   13.11\r\n  -1   6  -8   37.75   13.22\r\n   1   6   9  441.24   41.41\r\n  -1   6  -9  452.27   43.00\r\n   1   6  10  476.58   44.12\r\n  -1   6 -10  487.63   45.09\r\n  -1   6 -11    1.92    6.12\r\n   1   6  11    7.18    7.43\r\n   1   6  12  288.84   36.33\r\n  -1   6 -12  261.56   34.36\r\n   1   6  13  117.93   24.27\r\n  -1   6 -13  106.71   22.47\r\n  -1   6 -14   12.90   10.21\r\n   1   6  14    2.24    7.08\r\n  -1   6 -15    8.30   11.04\r\n   1   6  15    2.21    5.10\r\n   1   6  16  -16.94   11.37\r\n  -1   6 -16   26.86   11.59\r\n  -1   6 -17   29.20   14.55\r\n  -1   7  15   23.60   11.74\r\n   1   7 -15   19.30   11.03\r\n  -1   7  14    8.28    9.62\r\n   1   7 -14  -10.61    8.64\r\n  -1   7  13   50.76   16.27\r\n   1   7 -13   21.88   11.29\r\n   1   7 -12  419.50   45.25\r\n  -1   7  12  399.92   42.39\r\n   1   7 -11   11.07    8.70\r\n  -1   7  11   29.67   11.00\r\n  -1   7  10   66.97   16.46\r\n   1   7 -10   64.52   13.02\r\n   1   7 -10   61.43   17.39\r\n  -1   7   9  252.55   31.75\r\n   1   7  -9  211.49   23.07\r\n   1   7  -9  247.30   34.56\r\n   1   7  -8   -0.21    5.10\r\n  -1   7   8    5.56    8.60\r\n   1   7  -8    5.10    4.59\r\n  -1   7   7   35.54   11.77\r\n   1   7  -7   40.44   10.68\r\n  -1   7   7   35.23   10.33\r\n   1   7  -7   25.64   10.65\r\n   1   7  -6   69.42   18.04\r\n  -1   7   6   37.26   11.56\r\n   1   7  -6   53.17   12.36\r\n  -1   7   6   52.13   13.37\r\n  -1   7   5    0.66    4.40\r\n  -1   7   5    2.09    5.01\r\n   1   7  -5    3.84    5.79\r\n   1   7  -5    5.64    6.88\r\n  -1   7   4   17.89    7.98\r\n   1   7  -4   22.40   11.27\r\n   1   7  -4   10.82    6.91\r\n  -1   7   4   22.03   10.08\r\n  -1   7   3  271.53   30.48\r\n   1   7  -3  283.76   33.36\r\n   1   7  -3  236.60   25.59\r\n  -1   7   3  249.72   26.24\r\n  -1   7   2    5.69    4.17\r\n   1   7  -2   10.87    6.04\r\n  -1   7   2   23.40    9.57\r\n   1   7  -2   24.83    8.75\r\n   1   7  -1   -2.89    5.05\r\n  -1   7   1   -0.99    4.20\r\n   1   7  -1    6.16    6.89\r\n  -1   7   1  -11.31    7.57\r\n   1   7   0  269.17   29.46\r\n  -1   7   0  330.38   34.99\r\n  -1   7   0  291.87   25.45\r\n  -1   7  -1  202.01   27.90\r\n  -1   7  -1  190.26   19.84\r\n   1   7   1  182.38   25.13\r\n   1   7   2   33.38   11.30\r\n  -1   7  -2   42.01    8.01\r\n  -1   7  -2   58.07   15.77\r\n  -1   7  -3  241.83   17.28\r\n  -1   7  -3  290.73   33.90\r\n   1   7   3  274.54   31.89\r\n   1   7   4  182.39   25.84\r\n  -1   7  -4  187.86   28.08\r\n   1   7   5   65.19   16.58\r\n  -1   7  -5  110.26   21.95\r\n  -1   7  -6    0.53    4.06\r\n   1   7   6    7.48    8.74\r\n  -1   7  -7   21.86   10.35\r\n   1   7   7   22.11   10.02\r\n  -1   7  -8  134.87   24.85\r\n   1   7   8  182.62   28.62\r\n   1   7   9   72.23   18.14\r\n  -1   7  -9   89.20   21.17\r\n   1   7  10   15.03    9.20\r\n  -1   7 -10   21.64   11.59\r\n   1   7  11    1.93    6.34\r\n  -1   7 -11   14.60   11.00\r\n   1   7  12   -4.61    7.13\r\n  -1   7 -12   -9.33    9.23\r\n   1   7  13  -26.93   13.24\r\n  -1   7 -13  -14.01   10.19\r\n  -1   8  12   19.08    9.71\r\n  -1   8  11  -13.13    9.31\r\n  -1   8  10   83.57   18.96\r\n   1   8  -9   57.03   19.24\r\n  -1   8   9   55.04   15.99\r\n  -1   8   8   17.00    9.58\r\n   1   8  -8   -2.74    9.73\r\n  -1   8   7  200.07   28.02\r\n   1   8  -7  210.01   32.90\r\n  -1   8   6    0.60    4.03\r\n  -1   8   6    1.66    5.89\r\n  -1   8   5   17.98    9.41\r\n   1   8  -5   25.01    8.89\r\n   1   8  -5   37.42   14.23\r\n  -1   8   5   41.79   12.69\r\n   1   8  -4  119.33   23.90\r\n  -1   8   4  121.85   20.43\r\n  -1   8   4  118.00   21.42\r\n   1   8  -4   89.22   16.86\r\n  -1   8   3    1.07    4.13\r\n   1   8  -3   -3.00    4.76\r\n   1   8  -3   -2.44    4.85\r\n   1   8  -2  -11.25    6.68\r\n  -1   8   2    5.05    4.72\r\n  -1   8   2    6.13    6.30\r\n  -1   8   1   25.19    8.42\r\n   1   8  -1   30.61   10.17\r\n  -1   8   1   26.21   11.12\r\n  -1   8   0   35.05   10.42\r\n   1   8   0   46.58   15.36\r\n  -1   8   0   39.30   13.78\r\n   1   8   1  145.67   23.94\r\n  -1   8  -1  144.19   25.33\r\n   1   8   2   11.45    6.11\r\n  -1   8  -2   -0.13    4.70\r\n   1   8   3  137.33   23.98\r\n  -1   8  -3  116.15   23.36\r\n   1   8   4   -0.64    7.55\r\n  -1   8  -4   12.74    8.76\r\n   1   8   5    7.23    9.66\r\n  -1   8  -5   -0.05    3.62\r\n   1   8   6   -8.41    8.11\r\n  -1   8  -6   10.34    8.19\r\n   1   8   7   13.74    9.74\r\n  -1   8  -7    9.76    7.95\r\n  -1   8  -8   24.44   11.46\r\n   1   8   8   29.62   15.43\r\n   1   8   9    8.54    8.42\r\n   1   8  10   13.22    8.18\r\n  -1   9   4   38.51   13.26\r\n  -1   9   3  133.74   25.65\r\n  -1   9   2   13.63    8.86\r\n  -1   9   1   41.78   14.40\r\n  -1   9   0   -1.51    4.73\r\n   1   9   1   15.20    9.53\r\n   1   9   2   10.05    8.46\r\n   1   9   3   27.92   13.61\r\n   1   9   4    8.46   10.44\r\n   1   9   5   -0.52    5.90\r\n  -2   0  23  -19.93   11.54\r\n  -2   0  22  297.03   39.06\r\n  -2   0  21    0.83    6.41\r\n  -2   0  20   49.31   14.65\r\n  -2   0  19   -2.09    7.59\r\n  -2   0  18   13.46    8.27\r\n  -2   0  17    1.12    5.56\r\n  -2   0  16    9.28    8.35\r\n  -2   0  15   -0.31    1.09\r\n  -2   0  15    2.35    6.22\r\n  -2   0  14  181.94   10.86\r\n  -2   0  14  173.59   23.56\r\n   2   0 -13    6.86    5.79\r\n  -2   0  13   -2.10    1.34\r\n   2   0 -12 1290.13   58.37\r\n  -2   0  12 1290.72   29.40\r\n  -2   0  12 1329.28   58.14\r\n  -2   0  11   -0.22    1.59\r\n   2   0 -11   -3.52    4.94\r\n   2   0 -10  274.66   24.99\r\n  -2   0  10  289.40   14.27\r\n  -2   0   9    1.22    1.63\r\n   2   0  -9    5.15    5.14\r\n  -2   0   8  115.78    9.44\r\n   2   0  -8  148.24   16.97\r\n   2   0  -7   -3.39    3.85\r\n   2   0  -6 2651.70   64.80\r\n   2   0  -5    0.07    4.07\r\n   2   0  -4 1073.05   38.45\r\n   2   0  -3    1.43    4.07\r\n   2   0  -2  178.37   14.74\r\n   2   0  -1   -1.98    3.98\r\n  -2   0   1    3.84    3.83\r\n   2   0   0 1963.71   46.68\r\n  -2   0   0 1962.86   42.18\r\n  -2   0  -1    0.31    3.04\r\n   2   0   1   -0.51    3.09\r\n   2   0   2  233.72   14.79\r\n  -2   0  -2  227.87   14.41\r\n  -2   0  -3    0.90    2.52\r\n   2   0   3   -0.88    2.71\r\n  -2   0  -4 3348.37   58.40\r\n   2   0   4 3179.46   57.36\r\n   2   0   5    3.14    3.97\r\n  -2   0  -5    1.65    2.89\r\n  -2   0  -6    2.81    3.26\r\n   2   0   6    1.55    3.25\r\n   2   0   7   -0.13    3.05\r\n  -2   0  -7    0.39    3.70\r\n   2   0   8   34.89    7.79\r\n  -2   0  -8   47.54    9.15\r\n   2   0   9    3.40    4.09\r\n  -2   0  -9   -2.30    3.95\r\n   2   0  10  197.12   19.36\r\n  -2   0 -10  202.64   19.45\r\n  -2   0 -10  195.81   21.44\r\n  -2   0 -11   -4.64    6.91\r\n   2   0  11    2.59    5.18\r\n  -2   0 -11   -2.37    3.85\r\n  -2   0 -12 2930.44   80.49\r\n   2   0  12 2745.03   76.83\r\n  -2   0 -12 2706.95   82.80\r\n  -2   0 -13   -3.72    6.47\r\n   2   0  13    2.66    4.26\r\n  -2   0 -13   -7.11    4.92\r\n  -2   0 -14    4.67    4.73\r\n  -2   0 -14   -1.99    3.14\r\n   2   0  14    6.36    6.36\r\n  -2   0 -15   -6.02    5.62\r\n   2   0  15   -2.53    4.80\r\n   2   0  16  564.61   40.62\r\n  -2   0 -16  579.74   41.34\r\n  -2   0 -17    0.18    5.32\r\n   2   0  17   -0.03    5.35\r\n   2   0  18    7.94    6.58\r\n  -2   0 -18    2.96    5.73\r\n  -2   0 -19  -11.31    6.99\r\n   2   0  19   -6.10    5.84\r\n  -2   0 -20   -6.03    6.08\r\n   2   0  20    3.57    5.46\r\n  -2   0 -21    2.29    4.95\r\n   2   0  21    9.50    7.32\r\n   2   0  22  404.82   42.08\r\n   2   0  23   34.45   14.44\r\n  -2  -1  24   31.71   15.12\r\n  -2  -1  23   32.60   14.46\r\n  -2   1  23   40.93   16.20\r\n  -2  -1  22  124.34   25.88\r\n  -2   1  22  118.67   26.01\r\n  -2  -1  21  252.07   35.19\r\n  -2   1  21  207.49   32.29\r\n  -2  -1  20  -14.98    9.38\r\n  -2   1  20   -2.71    8.36\r\n  -2  -1  19   26.51   10.88\r\n  -2   1  19   70.45   19.61\r\n  -2  -1  18   80.41   18.45\r\n  -2   1  18   71.56   18.24\r\n  -2  -1  17  105.59   20.45\r\n  -2   1  17  117.10   22.08\r\n  -2  -1  17  105.06   12.35\r\n  -2   1  16  640.14   48.47\r\n  -2  -1  16  636.63   29.91\r\n  -2  -1  15    8.07    3.90\r\n   2   1 -15    0.57    5.25\r\n  -2   1  15    2.81    6.48\r\n  -2  -1  14    0.61    3.34\r\n   2   1 -14    0.03    4.94\r\n  -2   1  14   -0.72    8.52\r\n  -2   1  13  117.61   19.16\r\n   2   1 -13  118.82   18.47\r\n  -2  -1  13  123.10   12.68\r\n  -2  -1  13  152.21   20.79\r\n  -2   1  12    0.18    4.85\r\n  -2   1  12   11.96    6.93\r\n   2   1 -12    0.58    3.98\r\n  -2  -1  12    4.83    3.30\r\n  -2  -1  12   -2.77    3.45\r\n  -2   1  11  487.27   35.39\r\n  -2  -1  11  511.77   25.22\r\n  -2  -1  11  529.62   35.22\r\n   2   1 -11  507.60   35.07\r\n  -2  -1  10  871.05   32.40\r\n  -2   1  10  896.86   45.50\r\n   2   1 -10  930.28   45.24\r\n  -2  -1   9  774.06   30.14\r\n  -2   1   9  731.47   16.79\r\n   2   1  -9  777.04   39.68\r\n   2  -1  -9  793.33   41.36\r\n  -2   1   9  694.68   15.48\r\n   2  -1  -8  114.33   15.42\r\n  -2  -1   8  128.70   12.36\r\n   2   1  -8  139.18   16.72\r\n   2   1  -7    3.77    3.84\r\n   2  -1  -7   -2.13    3.86\r\n  -2  -1   7   -0.25    2.55\r\n   2  -1  -6  202.22   18.29\r\n  -2   1   6  193.90   17.51\r\n  -2  -1   6  173.53   14.04\r\n   2   1  -6  213.69   19.21\r\n   2   1  -5  103.85   13.09\r\n  -2   1   5  111.89   12.74\r\n   2  -1  -5  106.62   12.69\r\n   2   1  -4  245.08   19.11\r\n  -2   1   4  253.68   18.10\r\n   2  -1  -4  232.93   17.86\r\n  -2   1   3  634.93   27.15\r\n   2  -1  -3  610.77   27.03\r\n   2   1  -3  600.77   29.26\r\n   2   1  -2  964.07   36.59\r\n  -2   1   2  977.99   31.57\r\n   2  -1  -2  975.62   31.96\r\n   2  -1  -1   50.65    7.29\r\n   2   1  -1   37.67    7.49\r\n  -2   1   1   29.72    5.51\r\n  -2   1   0   16.10    4.11\r\n   2   1   0   17.06    5.44\r\n   2  -1   0   23.70    5.09\r\n   2   1   1 1396.67   41.71\r\n  -2  -1  -1 1444.51   42.08\r\n   2  -1   1 1384.68   33.61\r\n  -2   1  -1 1416.35   28.86\r\n  -2  -1  -2  957.60   34.87\r\n  -2   1  -2  900.81   22.17\r\n   2  -1   2  902.96   27.36\r\n   2   1   2  899.46   34.22\r\n   2   1   3 1043.90   37.76\r\n  -2   1  -3 1048.03   24.49\r\n  -2  -1  -3 1071.11   37.76\r\n   2  -1   3 1058.10   24.41\r\n  -2   1  -4 1999.42   35.40\r\n  -2  -1  -4 2003.24   53.12\r\n   2   1   4 1906.17   51.69\r\n   2  -1   4 1989.08   35.25\r\n   2   1   5   45.73    8.96\r\n  -2   1  -5   57.43    6.73\r\n   2  -1   5   56.33    6.66\r\n  -2  -1  -5   51.58    9.18\r\n   2   1   6    0.05    3.79\r\n   2  -1   6    0.83    2.38\r\n  -2   1  -6    3.44    2.12\r\n  -2   1  -7  246.22   15.85\r\n  -2  -1  -7  252.87   21.15\r\n   2   1   7  214.00   19.63\r\n   2  -1   7  215.79   14.48\r\n  -2   1  -8  193.61   15.12\r\n  -2  -1  -8  212.16   20.20\r\n   2  -1   8  186.64   14.69\r\n   2   1   8  180.64   18.78\r\n  -2   1  -9  492.19   25.58\r\n  -2  -1  -9  491.90   32.01\r\n   2  -1   9  452.21   24.39\r\n   2   1   9  447.48   30.27\r\n  -2   1  -9  442.46   32.58\r\n  -2   1 -10   28.46    9.92\r\n  -2  -1 -10   21.14    7.52\r\n  -2   1 -10   25.70    6.73\r\n   2  -1  10   36.51    7.91\r\n   2   1  10   41.40   10.83\r\n  -2   1 -11  527.32   29.44\r\n  -2  -1 -11  493.20   34.66\r\n   2  -1  11  499.71   28.62\r\n   2   1  11  496.57   34.49\r\n  -2   1 -11  533.38   37.08\r\n   2  -1  12 1363.02   49.70\r\n   2   1  12 1306.04   57.35\r\n  -2   1 -12 1242.94   57.60\r\n  -2   1 -13   75.17   15.07\r\n   2  -1  13   59.87   11.60\r\n   2   1  13   85.49   16.32\r\n   2   1  14   93.22   17.26\r\n  -2   1 -14  108.23   18.21\r\n   2  -1  14   89.46   14.30\r\n  -2  -1 -14  127.41   19.17\r\n  -2   1 -15    3.36    4.19\r\n  -2  -1 -15   -3.33    4.69\r\n   2  -1  15   -1.37    3.93\r\n   2   1  15   -1.82    4.82\r\n   2  -1  16  349.22   30.99\r\n  -2  -1 -16  389.95   33.63\r\n   2  -1  16  333.41   29.69\r\n   2   1  16  372.99   35.32\r\n  -2   1 -16  347.50   33.39\r\n  -2   1 -17   32.92   11.25\r\n  -2  -1 -17   19.63    9.29\r\n   2   1  17   24.66    9.95\r\n   2  -1  17   19.58    8.21\r\n  -2  -1 -18  187.73   24.16\r\n   2  -1  18  146.08   21.16\r\n   2   1  18  185.08   26.88\r\n  -2   1 -18  175.81   25.22\r\n  -2  -1 -19  205.81   25.32\r\n   2   1  19  299.93   34.81\r\n  -2   1 -19  267.25   31.07\r\n   2  -1  19  195.16   25.14\r\n   2   1  20  175.71   27.23\r\n   2  -1  20  164.51   24.12\r\n  -2  -1 -20  175.48   23.93\r\n  -2   1 -20  222.01   29.09\r\n  -2   1 -21   13.27    7.90\r\n   2  -1  21   18.24    7.74\r\n   2   1  21   17.07   11.30\r\n   2   1  22   22.22   10.69\r\n   2   1  23   43.73   15.71\r\n  -2  -2  24   28.07   14.72\r\n  -2  -2  23   41.25   15.27\r\n  -2   2  22   25.97   14.42\r\n  -2  -2  22   16.30   10.12\r\n  -2   2  21   29.52   13.27\r\n  -2  -2  21    4.16    6.56\r\n  -2  -2  20   10.73   10.14\r\n  -2   2  20    1.50    7.34\r\n  -2   2  19  146.57   26.75\r\n  -2  -2  19  158.57   26.05\r\n  -2   2  18   -0.50    7.02\r\n   2   2 -17  152.95   23.22\r\n  -2   2  17  133.18   23.62\r\n  -2  -2  17  141.02   17.32\r\n  -2  -2  16   31.70    8.82\r\n   2   2 -16   27.68    9.53\r\n  -2   2  16   31.83   12.41\r\n   2   2 -15  498.14   39.84\r\n  -2   2  15  520.39   43.55\r\n  -2  -2  15  540.07   32.84\r\n  -2  -2  14    3.02    3.30\r\n   2   2 -14    9.20    4.27\r\n  -2   2  14   -1.20    7.90\r\n  -2   2  13  647.74   45.05\r\n  -2  -2  13  667.85   35.26\r\n   2   2 -13  713.70   44.58\r\n   2   2 -12    9.14    7.24\r\n  -2  -2  12   -2.16    4.16\r\n  -2   2  12    4.67    5.94\r\n  -2  -2  12   -4.03    5.55\r\n  -2   2  11   11.03    7.36\r\n  -2   2  11    5.26    5.96\r\n  -2  -2  11    8.20    5.01\r\n  -2  -2  11    0.08    2.98\r\n   2   2 -11    2.40    4.70\r\n  -2   2  10  129.59   18.26\r\n  -2  -2  10  150.20   18.49\r\n  -2  -2  10  150.46   16.33\r\n   2   2 -10  137.40   17.48\r\n  -2   2  10  148.06   18.94\r\n  -2   2   9   20.10    7.92\r\n  -2  -2   9   16.36    5.84\r\n  -2   2   9    9.40    6.03\r\n   2   2  -9   16.08    5.88\r\n  -2  -2   9   15.78    5.84\r\n  -2   2   9   14.84    2.34\r\n  -2  -2   8  308.04   22.46\r\n  -2   2   8  302.07   25.47\r\n   2   2  -8  303.16   24.74\r\n  -2   2   8  258.90   11.97\r\n  -2   2   8  341.06   26.47\r\n  -2  -2   7 1024.44   40.57\r\n  -2   2   7  994.65   43.24\r\n  -2   2   7 1040.37   27.16\r\n   2   2  -7 1053.05   44.74\r\n  -2   2   7 1098.90   44.93\r\n  -2   2   6  857.94   37.89\r\n  -2   2   6  875.71   38.31\r\n  -2  -2   6  867.52   36.81\r\n   2   2  -6  814.02   38.47\r\n  -2   2   6  851.71   27.08\r\n  -2   2   5  502.15   27.54\r\n  -2  -2   5  527.45   28.68\r\n   2   2  -5  533.85   30.02\r\n  -2   2   5  511.31   22.55\r\n  -2   2   5  602.89   29.85\r\n   2  -2  -4  290.76   20.24\r\n  -2  -2   4  342.87   23.06\r\n  -2   2   4  335.36   21.39\r\n  -2   2   4  330.35   19.21\r\n   2   2  -4  297.86   22.47\r\n  -2   2   4  300.35   19.87\r\n   2  -2  -3 7069.56   91.97\r\n  -2  -2   3 7027.64  104.20\r\n   2   2  -3 7053.89  108.29\r\n  -2   2   3 7318.53   93.90\r\n  -2   2   3 7218.33   91.43\r\n   2  -2  -2  299.96   17.70\r\n  -2   2   2  323.41   17.65\r\n   2   2  -2  311.89   22.76\r\n  -2   2   2  326.43   21.01\r\n  -2   2   2  313.72   17.70\r\n  -2   2   1  540.43   28.32\r\n  -2   2   1  546.74   20.49\r\n   2  -2  -1  574.63   22.54\r\n   2   2  -1  521.22   28.60\r\n  -2   2   1  584.87   22.05\r\n   2  -2   0  211.22   12.60\r\n  -2   2   0  237.02   11.73\r\n  -2   2   0  223.65   12.54\r\n  -2   2   0  251.87   19.98\r\n   2   2   0  211.05   18.48\r\n  -2   2  -1 1366.08   23.19\r\n  -2   2  -1 1307.17   27.50\r\n  -2   2  -1 1373.53   48.28\r\n   2  -2   1 1299.95   27.60\r\n   2   2   1 1268.23   45.55\r\n   2   2   2  198.40   18.70\r\n   2  -2   2  211.24   10.05\r\n   2   2   3  687.24   34.52\r\n   2  -2   3  671.24   16.91\r\n   2   2   4    1.80    3.85\r\n   2  -2   4    0.70    1.32\r\n  -2  -2  -5  943.88   42.51\r\n   2   2   5  884.10   40.59\r\n   2  -2   5  868.89   21.08\r\n   2  -2   6    5.40    1.71\r\n   2   2   6   -2.35    4.53\r\n  -2  -2  -6    6.06    5.29\r\n   2   2   7   48.41   10.80\r\n   2  -2   7   59.54    5.76\r\n  -2  -2  -7   54.20   10.84\r\n  -2  -2  -8  117.98   16.73\r\n   2  -2   8  158.88   10.84\r\n   2   2   8  137.37   18.10\r\n  -2   2  -9  506.64   36.80\r\n   2  -2   9  525.78   21.86\r\n   2   2   9  478.93   34.23\r\n   2   2  10    4.69    6.06\r\n   2  -2  10    6.25    3.76\r\n  -2   2 -10    1.45    5.14\r\n   2  -2  10    2.66    2.97\r\n  -2  -2 -10    2.70    4.53\r\n   2  -2  11  225.73   17.66\r\n   2  -2  11  220.10   16.85\r\n   2   2  11  197.26   23.46\r\n  -2   2 -11  234.85   26.06\r\n  -2   2 -12   27.83    9.60\r\n   2   2  12   36.01   11.87\r\n   2  -2  12   23.73    6.31\r\n   2  -2  12   31.26    7.62\r\n   2  -2  13  988.53   40.51\r\n   2   2  13  961.16   54.86\r\n  -2   2 -13  935.32   54.18\r\n   2   2  14   10.09    5.83\r\n  -2   2 -14    6.91    6.42\r\n   2  -2  14   17.63    6.94\r\n  -2   2 -15  263.20   30.11\r\n   2  -2  15  217.06   21.15\r\n   2   2  15  233.60   28.62\r\n   2   2  16   11.23    8.22\r\n  -2   2 -16    3.14    4.63\r\n  -2  -2 -16    7.85    5.35\r\n   2  -2  16   -2.52    3.83\r\n   2  -2  16   -4.81    4.48\r\n  -2   2 -17   12.99    6.66\r\n  -2  -2 -17    8.62    6.16\r\n   2   2  17   -2.80    8.38\r\n  -2   2 -18   31.34   11.20\r\n  -2  -2 -18   30.49    9.59\r\n   2  -2  18    9.32    5.56\r\n   2   2  18   38.09   13.52\r\n  -2   2 -19   -2.25    5.02\r\n  -2  -2 -19   -3.05    3.92\r\n   2  -2  19   -8.14    5.53\r\n   2   2  19   11.14    8.17\r\n   2   2  20   59.28   17.17\r\n  -2   2 -20   44.66   13.78\r\n   2   2  21    7.93    8.11\r\n  -2   2 -21    5.21    6.17\r\n   2   2  22  239.95   35.66\r\n  -2   2 -22  206.49   29.26\r\n  -2  -3  23   75.47   21.07\r\n  -2  -3  22   19.63    9.95\r\n  -2  -3  21  495.59   48.17\r\n  -2   3  21  512.32   52.85\r\n   2   3 -20   26.34    8.61\r\n  -2   3  20   29.03   12.51\r\n  -2  -3  20   41.29   15.31\r\n  -2   3  19   45.50   15.54\r\n   2   3 -19   38.77   10.76\r\n  -2   3  18   53.67   16.11\r\n   2   3 -18   89.75   15.98\r\n   2   3 -18   68.16   16.82\r\n   2   3 -17   51.80   13.98\r\n  -2   3  17   43.21   14.65\r\n   2   3 -17   46.59   11.84\r\n   2   3 -16  -14.02    6.70\r\n   2   3 -16    0.13    7.02\r\n  -2   3  16   -1.82    7.39\r\n  -2  -3  15   49.60   11.96\r\n  -2   3  15   46.40   14.94\r\n   2   3 -15   34.34   11.57\r\n   2   3 -15   31.78    9.79\r\n  -2  -3  14   35.23    9.89\r\n   2   3 -14   45.23   10.75\r\n   2   3 -14   35.50   10.54\r\n  -2   3  14   39.37   12.27\r\n   2   3 -13  179.04   20.93\r\n  -2   3  13  187.83   25.67\r\n  -2  -3  13  166.51   20.21\r\n   2   3 -13  219.93   24.98\r\n  -2  -3  12   54.12   11.79\r\n  -2  -3  12   51.22   11.06\r\n  -2   3  12   51.33   14.04\r\n   2   3 -12   60.96   12.72\r\n   2   3 -12   67.12   13.61\r\n  -2  -3  11  605.04   37.30\r\n  -2   3  11  470.20   37.46\r\n   2   3 -11  629.51   38.04\r\n  -2  -3  11  588.27   38.71\r\n   2   3 -11  587.22   38.37\r\n  -2   3  10  805.95   46.73\r\n  -2   3  10  812.17   20.53\r\n  -2  -3  10  904.54   46.43\r\n   2   3 -10  923.47   45.41\r\n  -2  -3  10  895.73   45.42\r\n   2   3 -10  892.66   46.22\r\n  -2   3  10  978.33   50.77\r\n  -2   3   9  833.86   45.56\r\n  -2  -3   9  866.06   44.58\r\n   2   3  -9  827.53   42.51\r\n  -2   3   9  767.23   23.45\r\n  -2  -3   9  882.08   44.07\r\n   2   3  -9  791.87   42.59\r\n  -2   3   8  526.31   34.40\r\n  -2   3   8  450.32   19.93\r\n  -2   3   8  435.31   31.63\r\n  -2  -3   8  490.28   32.68\r\n  -2  -3   8  465.01   31.61\r\n   2   3  -8  426.90   30.51\r\n  -2  -3   7   22.30    7.42\r\n  -2   3   7   32.42    8.49\r\n  -2   3   7   25.23    7.34\r\n   2   3  -7   30.82    8.97\r\n  -2  -3   7   26.05    7.26\r\n  -2   3   7   28.06    5.64\r\n  -2   3   6  440.09   29.09\r\n  -2  -3   6  455.79   30.92\r\n   2   3  -6  386.20   27.62\r\n  -2   3   6  403.78   21.79\r\n  -2  -3   6  378.45   27.93\r\n   2  -3  -6  429.08   23.34\r\n  -2   3   6  448.00   28.83\r\n  -2  -3   5   18.52    6.62\r\n   2  -3  -5    8.86    3.42\r\n  -2   3   5    9.50    4.48\r\n   2   3  -5    4.28    4.05\r\n  -2   3   5   12.62    5.84\r\n  -2   3   5   14.37    4.84\r\n  -2   3   4  384.15   23.82\r\n  -2   3   4  375.72   23.16\r\n   2   3  -4  392.79   27.79\r\n  -2  -3   4  347.91   26.76\r\n   2  -3  -4  407.83   24.82\r\n  -2   3   4  407.19   24.26\r\n  -2  -3   3  385.88   27.93\r\n  -2   3   3  465.82   24.21\r\n  -2   3   3  453.84   24.17\r\n   2  -3  -3  446.07   26.73\r\n   2   3  -3  441.59   29.16\r\n  -2   3   3  459.45   26.46\r\n   2  -3  -2  430.30   27.03\r\n  -2   3   2  431.12   21.28\r\n   2   3  -2  392.02   27.51\r\n  -2  -3   2  451.01   30.17\r\n  -2   3   2  466.47   27.59\r\n  -2   3   2  398.30   20.57\r\n  -2   3   1  351.60   17.18\r\n   2  -3  -1  300.33   23.81\r\n  -2   3   1  300.13   23.32\r\n  -2   3   1  323.50   16.77\r\n  -2  -3   1  304.41   24.79\r\n   2   3  -1  293.73   24.10\r\n  -2   3   0 1140.63   27.99\r\n  -2   3   0 1200.41   26.79\r\n  -2  -3   0 1063.25   45.98\r\n  -2   3   0 1229.59   48.07\r\n   2   3   0 1130.47   46.90\r\n   2  -3   0 1116.05   46.89\r\n  -2   3  -1 2566.82   71.52\r\n  -2   3  -1 2379.49   29.86\r\n  -2  -3  -1 2476.79   70.15\r\n  -2   3  -1 2439.68   34.13\r\n   2   3   1 2414.87   69.80\r\n   2  -3   1 2514.67   71.94\r\n   2  -3   2  267.87   24.22\r\n   2   3   2  269.40   23.75\r\n  -2   3  -2  303.83   25.38\r\n   2   3   3  218.87   22.05\r\n   2  -3   3  216.38   22.54\r\n   2   3   4  581.59   35.94\r\n   2  -3   4  616.38   38.66\r\n   2   3   5  180.02   20.66\r\n   2  -3   5  190.63   21.98\r\n   2   3   6    9.23    5.77\r\n   2  -3   6   16.54    6.87\r\n  -2  -3  -6   29.11    9.93\r\n  -2  -3  -7 1014.82   50.90\r\n   2   3   7  878.63   47.68\r\n  -2   3  -7  942.21   50.52\r\n   2  -3   7  940.93   51.33\r\n   2   3   8  428.60   33.93\r\n  -2   3  -8  415.00   34.64\r\n  -2   3  -9  755.91   47.38\r\n   2  -3   9  751.63   17.72\r\n   2   3   9  768.43   47.16\r\n   2  -3   9  748.29   16.97\r\n   2  -3  10  357.59   15.17\r\n   2   3  10  324.43   31.42\r\n  -2   3 -10  343.76   32.61\r\n   2  -3  10  346.42   14.58\r\n  -2   3 -11   39.23   12.13\r\n   2   3  11   52.25   14.22\r\n   2  -3  11   52.32    6.84\r\n   2  -3  11   57.15    6.83\r\n  -2   3 -12   26.65   10.07\r\n   2   3  12   27.87   10.54\r\n   2  -3  12   18.30    4.40\r\n   2  -3  12   20.29    4.96\r\n  -2   3 -13    7.06    7.33\r\n   2   3  13   -2.48    5.16\r\n   2  -3  13    0.30    2.26\r\n   2  -3  13   -0.90    1.49\r\n  -2   3 -14    5.21    6.08\r\n   2   3  14    6.22    7.46\r\n   2  -3  14   -0.30    2.31\r\n   2  -3  14   -0.17    2.71\r\n  -2   3 -15    5.33    5.53\r\n   2   3  15   -3.61    6.93\r\n   2  -3  15    9.91    3.47\r\n  -2   3 -16   18.38   10.00\r\n   2   3  16   25.40   12.45\r\n   2  -3  16   10.40    5.12\r\n  -2   3 -17   17.26    9.50\r\n   2   3  17    1.01    6.44\r\n  -2   3 -18   58.62   15.97\r\n   2   3  18   41.41   14.85\r\n   2   3  19  160.27   28.21\r\n  -2   3 -19  174.61   27.65\r\n   2   3  20   58.95   18.73\r\n  -2   3 -20   83.08   19.01\r\n  -2   3 -21  126.47   24.90\r\n  -2   3 -22   17.37   10.70\r\n  -2  -4  23   33.49   15.08\r\n  -2  -4  22  107.55   23.56\r\n  -2  -4  21   34.49   13.56\r\n  -2   4  20   48.01   17.42\r\n   2   4 -20   34.48   11.19\r\n  -2   4  19    5.04    7.42\r\n   2   4 -19  -11.47    7.97\r\n  -2   4  18   54.92   16.33\r\n   2   4 -18   66.41   15.83\r\n   2   4 -18   66.73   15.05\r\n  -2   4  17   42.27   15.35\r\n   2   4 -17   49.77   13.07\r\n   2   4 -17   47.32   13.91\r\n  -2   4  16   71.56   17.99\r\n   2   4 -16   67.43   15.20\r\n   2   4 -16   51.66   13.88\r\n   2   4 -15   -0.22    4.20\r\n  -2   4  15   -2.41    4.81\r\n   2   4 -15    3.42    6.36\r\n   2   4 -14  171.42   23.10\r\n   2   4 -14  108.78   18.44\r\n  -2   4  14  144.35   24.17\r\n  -2   4  13  461.13   41.05\r\n   2   4 -13  479.37   38.40\r\n   2   4 -13  477.28   37.28\r\n  -2   4  12  553.27   43.42\r\n   2   4 -12  566.11   40.70\r\n   2   4 -12  550.83   39.06\r\n  -2   4  11  977.23   55.70\r\n  -2  -4  11 1068.05   53.18\r\n   2   4 -11 1069.68   55.46\r\n   2   4 -11 1025.82   52.63\r\n   2   4 -10   50.23   11.61\r\n  -2   4  10   66.60    8.38\r\n  -2   4  10   70.31   15.32\r\n   2   4 -10   80.75   15.97\r\n   2   4  -9   23.42    8.02\r\n  -2   4   9   44.09   11.17\r\n   2  -4  -9   22.50    5.92\r\n   2   4  -9   28.89    9.04\r\n  -2   4   9   29.62    9.42\r\n  -2   4   9   32.59    6.40\r\n  -2   4   8   68.66   13.21\r\n  -2   4   8   88.71   15.04\r\n   2   4  -8  116.86   18.00\r\n  -2   4   8  108.49   12.22\r\n  -2  -4   8  126.40   18.17\r\n   2  -4  -8   86.50   11.37\r\n   2   4  -8   74.20   13.28\r\n  -2   4   7   -9.70    5.26\r\n   2  -4  -7    0.08    2.39\r\n  -2  -4   7    6.20    4.97\r\n   2   4  -7    2.05    4.89\r\n  -2   4   7   -1.43    3.35\r\n  -2   4   7   -0.17    4.82\r\n  -2   4   6  324.95   25.92\r\n  -2   4   6  310.50   22.47\r\n  -2   4   6  293.43   24.34\r\n   2   4  -6  301.00   25.90\r\n  -2  -4   6  344.01   30.08\r\n  -2  -4   6  308.33   27.50\r\n   2  -4  -6  284.25   22.25\r\n  -2   4   5  195.41   19.37\r\n  -2   4   5  174.30   18.08\r\n   2   4  -5  155.44   18.84\r\n  -2  -4   5  179.13   21.13\r\n  -2  -4   5  199.93   22.80\r\n  -2   4   5  170.33   17.46\r\n   2  -4  -5  168.32   17.93\r\n  -2   4   4  583.78   31.14\r\n  -2   4   4  527.01   29.40\r\n   2   4  -4  531.54   34.89\r\n  -2  -4   4  497.04   34.36\r\n  -2  -4   4  599.62   39.05\r\n  -2   4   4  564.75   32.18\r\n   2  -4  -4  540.79   32.91\r\n  -2   4   3  437.11   25.37\r\n   2  -4  -3  411.36   29.44\r\n  -2   4   3  370.81   23.02\r\n   2   4  -3  399.05   29.73\r\n  -2  -4   3  409.92   31.31\r\n  -2  -4   3  425.09   32.85\r\n  -2   4   3  388.52   27.54\r\n  -2   4   2 1787.10   46.60\r\n  -2   4   2 1786.27   60.39\r\n   2  -4  -2 1748.14   61.94\r\n   2   4  -2 1772.61   62.78\r\n  -2  -4   2 1848.20   65.50\r\n  -2  -4   2 1842.94   67.16\r\n  -2   4   2 1856.49   47.88\r\n   2   4  -1  301.60   26.69\r\n  -2   4   1  341.88   18.65\r\n  -2  -4   1  353.37   29.19\r\n  -2  -4   1  383.44   30.97\r\n  -2   4   1  353.45   27.68\r\n   2  -4  -1  322.77   27.41\r\n  -2   4   1  380.76   19.53\r\n  -2   4   0   37.01    5.37\r\n  -2  -4   0   25.96    8.19\r\n   2  -4   0   33.39   10.02\r\n   2   4   0   21.87    8.60\r\n  -2   4   0   26.35    4.59\r\n  -2  -4   0   25.88    8.32\r\n  -2   4   0   31.48    8.99\r\n   2   4   1   99.43   16.13\r\n  -2   4  -1  122.02   17.37\r\n  -2  -4  -1  124.80   17.72\r\n  -2   4  -1  128.72    8.53\r\n  -2  -4  -1  114.86   16.95\r\n  -2   4  -1  117.07    7.87\r\n   2  -4   1  124.89   18.26\r\n  -2  -4  -2  805.38   45.57\r\n  -2  -4  -2  808.36   44.75\r\n   2   4   2  744.10   43.38\r\n  -2   4  -2  751.60   43.45\r\n   2  -4   2  764.61   45.26\r\n  -2  -4  -3  365.82   30.19\r\n  -2  -4  -3  361.34   30.99\r\n   2   4   3  402.83   32.16\r\n  -2   4  -3  375.10   31.18\r\n   2  -4   3  406.01   33.49\r\n   2   4   4  320.86   29.49\r\n  -2  -4  -4  396.03   31.35\r\n  -2   4  -4  389.04   32.80\r\n   2  -4   4  308.59   29.80\r\n  -2   4  -5   48.54   12.50\r\n   2   4   5   36.68   10.27\r\n  -2  -4  -5   31.84    9.25\r\n  -2   4  -6  226.12   25.99\r\n   2   4   6  177.15   22.86\r\n  -2  -4  -6  176.35   21.38\r\n  -2   4  -7   23.18    9.54\r\n   2   4   7   17.55    9.07\r\n  -2  -4  -7   10.19    6.01\r\n   2   4   8  735.20   47.82\r\n  -2  -4  -8  681.13   41.84\r\n  -2   4  -8  628.53   44.55\r\n  -2  -4  -9  272.30   26.64\r\n   2   4   9  222.37   27.20\r\n  -2   4  -9  210.20   26.81\r\n   2   4  10   25.65   10.00\r\n  -2   4 -10   26.87   10.12\r\n  -2   4 -11   47.62   13.55\r\n   2   4  11   25.51    9.94\r\n   2  -4  12  688.17   17.82\r\n   2   4  12  734.86   52.68\r\n  -2   4 -12  688.70   50.71\r\n   2  -4  12  667.67   17.64\r\n  -2   4 -13   53.44   16.00\r\n   2   4  13   52.35   15.69\r\n  -2   4 -14   20.26    8.33\r\n   2   4  14   13.69   11.44\r\n   2   4  15   21.10   10.38\r\n  -2   4 -15   12.80   10.39\r\n   2   4  16  223.84   32.69\r\n  -2   4 -16  206.06   30.63\r\n   2   4  17   46.06   15.82\r\n  -2   4 -17   68.12   18.53\r\n   2   4  18   -5.94    5.37\r\n  -2   4 -18   -7.14    7.27\r\n   2   4  19    4.30    9.18\r\n  -2   4 -19   -4.24    7.04\r\n  -2   4 -20  -15.55    9.60\r\n  -2   4 -21   50.47   17.85\r\n   2   5 -21   27.69   11.37\r\n   2   5 -20  277.91   34.23\r\n   2   5 -19   60.70   16.17\r\n   2   5 -19   35.86   12.86\r\n  -2   5  19   43.11   17.69\r\n   2   5 -18   13.77    8.52\r\n   2   5 -18   -6.03    6.77\r\n  -2   5  18    6.22    7.28\r\n   2   5 -17   27.94   10.92\r\n   2   5 -17   17.93    8.69\r\n  -2   5  17   14.65   10.67\r\n   2   5 -16    1.95    4.54\r\n   2   5 -16   -1.08    4.53\r\n  -2   5  16   -6.91    6.72\r\n   2   5 -15  182.65   26.71\r\n  -2   5  15  183.54   28.28\r\n   2   5 -15  194.93   25.77\r\n   2   5 -14   50.66   13.02\r\n   2   5 -14   52.71   14.68\r\n  -2   5  14   33.68   13.02\r\n   2   5 -13   31.64   11.21\r\n   2   5 -13   30.18    9.97\r\n  -2   5  13   11.34    6.70\r\n   2   5 -12   20.29    8.48\r\n   2   5 -12   52.72   15.38\r\n  -2   5  12   31.61   12.49\r\n   2  -5 -11   79.75   11.68\r\n   2   5 -11   53.64   13.50\r\n   2   5 -11   67.84   15.97\r\n  -2   5  11   55.96   14.58\r\n  -2   5  10  728.48   48.22\r\n   2   5 -10  807.52   47.43\r\n   2   5 -10  829.88   52.82\r\n  -2   5  10  865.20   36.31\r\n   2  -5  -9    4.87    3.61\r\n  -2   5   9    5.04    3.80\r\n   2   5  -9   -0.21    6.25\r\n   2   5  -9    1.60    5.16\r\n  -2   5   9   -2.22    7.12\r\n  -2   5   8  152.58   20.63\r\n  -2   5   8  158.11   17.08\r\n  -2   5   8  149.49   19.99\r\n   2   5  -8  173.88   23.85\r\n   2   5  -8  170.76   21.43\r\n   2  -5  -8  101.27   14.43\r\n  -2   5   7   42.40    9.55\r\n   2  -5  -7   28.64    8.34\r\n  -2   5   7   22.83    7.65\r\n   2   5  -7   36.71   10.18\r\n  -2   5   7   38.51   10.26\r\n   2  -5  -6   10.44    6.07\r\n   2  -5  -6   10.56    5.96\r\n  -2   5   6    4.25    3.62\r\n   2   5  -6    3.14    5.05\r\n  -2   5   6    6.39    4.22\r\n  -2   5   6   14.87    6.71\r\n   2  -5  -5   85.18   14.50\r\n   2  -5  -5  150.75   18.52\r\n  -2   5   5  135.31   16.88\r\n   2   5  -5  144.98   19.69\r\n  -2   5   5  135.12   17.23\r\n  -2   5   5  134.46   17.10\r\n   2  -5  -4   -3.58    3.14\r\n  -2   5   4   -7.15    4.27\r\n   2   5  -4    0.97    5.13\r\n  -2   5   4    0.13    3.96\r\n  -2   5   4   -0.19    3.94\r\n  -2   5   3    3.89    3.23\r\n   2  -5  -3    8.57    5.46\r\n   2  -5  -3    0.07    2.70\r\n   2   5  -3   -4.66    5.70\r\n  -2   5   3   -1.98    2.85\r\n  -2   5   3    0.14    5.45\r\n  -2   5   2  157.67   15.27\r\n   2  -5  -2  121.05   18.30\r\n   2  -5  -2  152.72   15.79\r\n  -2   5   2  124.13   13.73\r\n   2   5  -2  143.95   19.82\r\n  -2   5   2  161.94   20.51\r\n  -2   5   1  488.70   24.99\r\n   2  -5  -1  456.57   25.17\r\n  -2   5   1  517.42   37.13\r\n   2  -5  -1  548.53   39.76\r\n   2   5  -1  481.47   36.63\r\n  -2   5   1  512.44   25.08\r\n   2   5   0  664.31   43.29\r\n  -2   5   0  693.00   27.06\r\n  -2   5   0  692.52   43.86\r\n  -2   5   0  723.55   26.17\r\n  -2   5  -1    4.28    2.10\r\n   2   5   1    8.34    7.63\r\n  -2   5  -1    5.23    1.93\r\n  -2   5  -1    9.47    8.36\r\n  -2   5  -2  740.07   46.68\r\n   2   5   2  678.56   45.12\r\n   2   5   3    3.10    5.79\r\n  -2   5  -3   13.77    7.47\r\n   2   5   4  228.17   26.79\r\n  -2   5  -4  162.04   22.95\r\n   2   5   5  318.84   32.39\r\n  -2   5  -5  331.40   33.28\r\n  -2   5  -6  280.07   31.24\r\n   2   5   6  253.69   29.48\r\n   2   5   7  156.46   23.63\r\n  -2   5  -7  175.84   24.52\r\n  -2   5  -8  630.65   48.59\r\n   2   5   8  660.43   48.37\r\n   2   5   9   -3.56    6.76\r\n  -2   5  -9    3.27    6.26\r\n   2   5  10   85.10   18.91\r\n  -2   5 -10   61.12   16.79\r\n   2   5  11  398.96   40.57\r\n  -2   5 -11  388.10   40.49\r\n   2   5  12  159.92   26.50\r\n  -2   5 -12  177.58   28.41\r\n   2   5  13    4.40    9.48\r\n  -2   5 -13    0.93    4.88\r\n   2   5  14    0.22    5.66\r\n  -2   5 -14    1.35    7.17\r\n   2   5  15   -8.90   10.87\r\n  -2   5 -15    1.67    5.65\r\n   2   5  16  -21.80   12.18\r\n  -2   5 -16   -4.40    6.68\r\n   2   5  17  118.09   24.64\r\n  -2   5 -17  116.41   23.37\r\n  -2   5 -18   47.27   15.25\r\n   2   6 -19    4.92    6.54\r\n   2   6 -18   15.32    9.32\r\n   2   6 -17  -19.23   10.69\r\n  -2   6  17    6.16    5.78\r\n   2   6 -16   -6.57    8.47\r\n   2   6 -16   -1.92    4.25\r\n  -2   6  16   12.23   12.07\r\n   2   6 -15   20.09   10.77\r\n   2   6 -15    9.44    6.49\r\n  -2   6  15   21.59   11.12\r\n   2   6 -14   -5.87    5.40\r\n   2   6 -14    8.10    9.62\r\n  -2   6  14    9.38    7.75\r\n   2   6 -13  127.11   20.66\r\n   2   6 -13   94.75   20.53\r\n  -2   6  13  101.12   21.16\r\n   2   6 -12   55.65   13.78\r\n   2   6 -12   37.98   12.67\r\n  -2   6  12   43.01   14.34\r\n  -2   6  11  266.25   31.94\r\n   2   6 -11  242.46   31.57\r\n   2   6 -11  226.62   27.03\r\n   2   6 -10    9.25    6.64\r\n   2   6 -10   10.78    7.63\r\n  -2   6  10   17.03    6.95\r\n  -2   6  10   12.04    8.75\r\n  -2   6   9   10.13    8.92\r\n   2   6  -9    2.87    6.48\r\n  -2   6   9   -6.49    4.67\r\n   2   6  -9    5.21    4.73\r\n   2  -6  -8   18.89    7.30\r\n   2   6  -8   18.80    8.02\r\n  -2   6   8   11.85    5.76\r\n  -2   6   8   16.25    8.72\r\n  -2   6   7  220.47   25.07\r\n  -2   6   7  230.55   23.98\r\n   2   6  -7  220.08   25.19\r\n   2  -6  -7  238.79   26.15\r\n  -2   6   6  296.19   28.08\r\n   2  -6  -6  290.35   28.42\r\n  -2   6   6  294.25   27.95\r\n   2   6  -6  286.85   28.88\r\n  -2   6   6  302.46   27.86\r\n   2   6  -5  205.30   25.01\r\n   2  -6  -5  202.28   22.62\r\n  -2   6   5  234.50   23.89\r\n  -2   6   5  198.08   21.94\r\n  -2   6   5  253.36   25.94\r\n  -2   6   4   41.54   10.48\r\n   2   6  -4   48.33   13.07\r\n  -2   6   4   50.04   10.43\r\n   2  -6  -4   44.22   10.10\r\n  -2   6   4   53.91   12.78\r\n  -2   6   3   51.91   10.84\r\n  -2   6   3   63.45   11.06\r\n   2   6  -3   33.90    9.98\r\n  -2   6   3   50.63   12.88\r\n  -2   6   2  422.90   26.90\r\n  -2   6   2  531.88   30.57\r\n   2   6  -2  490.27   39.08\r\n  -2   6   2  529.03   40.63\r\n  -2   6   1   10.04    4.90\r\n   2  -6  -1   -1.23    2.07\r\n   2   6  -1   13.67    7.06\r\n  -2   6   1   12.30    4.44\r\n  -2   6   1   12.57    7.17\r\n   2  -6   0  121.82   13.56\r\n  -2   6   0  185.99   15.96\r\n  -2   6   0  192.99   25.36\r\n   2   6   0  190.18   25.20\r\n  -2   6   0  147.71   12.96\r\n   2   6   1   53.64   14.90\r\n  -2   6  -1   38.46    7.02\r\n   2  -6   1   33.85    6.42\r\n  -2   6  -1   27.00    4.82\r\n  -2   6  -1   44.92   12.10\r\n   2  -6   2   62.91    7.89\r\n   2   6   2  100.00   18.94\r\n  -2   6  -2   96.73   18.45\r\n   2   6   3   44.33   14.19\r\n  -2   6  -3   41.33   12.71\r\n   2   6   4   93.77   19.13\r\n  -2   6  -4   73.61   17.25\r\n   2   6   5   79.63   17.80\r\n  -2   6  -5   77.15   17.34\r\n   2   6   6   53.28   15.63\r\n  -2   6  -6   57.78   15.68\r\n   2   6   7  270.42   33.01\r\n  -2   6  -7  247.54   32.69\r\n   2   6   8  106.48   21.13\r\n  -2   6  -8  105.83   22.09\r\n   2   6   9    2.99    8.38\r\n  -2   6  -9   11.36    8.37\r\n   2   6  10   23.36   12.28\r\n  -2   6 -10   31.42   12.28\r\n   2   6  11   37.50   14.78\r\n  -2   6 -11   60.39   17.52\r\n   2   6  12   25.66   12.44\r\n  -2   6 -12   33.51   15.34\r\n   2   6  13  121.00   26.23\r\n  -2   6 -13  125.13   25.86\r\n   2   6  14    0.59    5.66\r\n  -2   6 -14   13.17    9.72\r\n  -2   6 -15   45.60   16.71\r\n  -2   7  15   47.64   16.93\r\n   2   7 -14    6.93    7.68\r\n  -2   7  14   -9.13    7.82\r\n   2   7 -13  -13.67    9.20\r\n  -2   7  13   20.02   13.00\r\n   2   7 -12    3.24    7.50\r\n   2   7 -12  -22.08   11.52\r\n  -2   7  12   -8.20    6.86\r\n  -2   7  11  147.97   25.47\r\n   2   7 -11  109.73   18.91\r\n   2   7 -11  164.05   28.14\r\n   2   7 -10   50.09   13.02\r\n  -2   7  10   47.36   14.34\r\n  -2   7   9   61.24   15.41\r\n   2   7  -9   64.60   15.15\r\n  -2   7   9   63.22   13.00\r\n  -2   7   8   54.37   13.93\r\n   2   7  -8   83.28   16.36\r\n  -2   7   8   52.97   12.18\r\n  -2   7   7    8.14    6.17\r\n   2   7  -7   11.82    5.82\r\n  -2   7   7   16.05    8.28\r\n  -2   7   6    5.09    6.45\r\n   2   7  -6    5.32    5.85\r\n  -2   7   6   -0.12    4.35\r\n  -2   7   5   -4.59    5.04\r\n   2   7  -5    3.40    4.75\r\n  -2   7   5   -5.90    5.93\r\n  -2   7   4    1.95    3.91\r\n   2   7  -4    9.44    6.76\r\n  -2   7   4    4.78    5.30\r\n  -2   7   3   -3.12    4.53\r\n   2   7  -3   -2.87    5.21\r\n  -2   7   3  -10.94    8.14\r\n   2   7  -2   -5.73    8.36\r\n  -2   7   2   -2.38    3.88\r\n  -2   7   2    8.26    7.40\r\n   2   7  -1  105.14   19.39\r\n  -2   7   1  110.08   14.74\r\n  -2   7   1  139.48   22.68\r\n  -2   7   0   14.11    6.07\r\n   2   7   0   14.12    9.95\r\n  -2   7   0    9.96    7.10\r\n  -2   7  -1  420.08   41.05\r\n   2   7   1  329.47   36.01\r\n   2   7   2   20.19    9.99\r\n  -2   7  -2   18.33    9.62\r\n   2   7   3   66.00   17.41\r\n  -2   7  -3   64.07   16.64\r\n   2   7   4  223.92   30.59\r\n  -2   7  -4  255.40   33.70\r\n   2   7   5    2.55    7.35\r\n  -2   7  -5   19.52   10.07\r\n   2   7   6  209.61   30.67\r\n  -2   7  -6  227.94   32.79\r\n   2   7   7   -1.75    6.99\r\n  -2   7  -7    1.99    5.43\r\n   2   7   8    1.68    6.67\r\n  -2   7  -8   12.94    8.50\r\n   2   7   9   30.44   13.39\r\n  -2   7  -9   40.57   15.08\r\n   2   7  10   37.85   14.45\r\n  -2   7 -10   45.59   15.78\r\n   2   7  11   67.19   18.83\r\n  -2   7 -11   37.48   13.87\r\n  -2   8  13  164.71   29.53\r\n  -2   8  12   12.10    8.97\r\n  -2   8  11   60.32   18.14\r\n  -2   8  10   14.37    9.45\r\n  -2   8   9   12.52    8.77\r\n  -2   8   8   18.82   10.57\r\n  -2   8   7   29.99   10.86\r\n   2   8  -7   16.68    8.94\r\n  -2   8   7   27.29   10.19\r\n   2   8  -6   -1.39    6.78\r\n  -2   8   6   10.96    6.39\r\n   2   8  -5    4.15    5.34\r\n  -2   8   5    4.52    5.14\r\n   2   8  -4   60.96   16.33\r\n  -2   8   4   70.38   17.00\r\n   2   8  -3   25.29   10.58\r\n  -2   8   3    9.59    7.40\r\n   2   8  -2   -7.15    7.02\r\n  -2   8   2   -4.81    6.02\r\n   2   8  -1   -8.24    6.96\r\n  -2   8   1   -0.04    7.49\r\n   2   8   0  109.05   21.49\r\n  -2   8   0  124.60   23.38\r\n   2   8   1   -3.21    6.32\r\n  -2   8  -1   -7.60    7.24\r\n   2   8   2  122.62   23.79\r\n  -2   8  -2  140.53   26.72\r\n   2   8   3   55.55   17.48\r\n  -2   8  -3   36.74   13.61\r\n   2   8   4   41.92   15.43\r\n  -2   8  -4   42.03   14.34\r\n   2   8   5    5.49    8.24\r\n  -2   8  -5   22.36   11.13\r\n   2   8   6   32.87   13.64\r\n   2   8   7    8.82    8.78\r\n  -2   9   5  -16.54    8.75\r\n  -2   9   4   27.90   13.45\r\n  -2   9   3   -0.28    1.68\r\n  -2   9   2  -27.25   11.79\r\n   2   9  -1    1.79    5.86\r\n   2   9   0  -26.77   11.85\r\n   2   9   1  -20.88   10.58\r\n  -3   0  22    2.06    5.53\r\n  -3   0  21  101.43   24.09\r\n  -3   0  20    1.32    8.17\r\n  -3   0  19   26.04   12.81\r\n  -3   0  18   -3.70    6.03\r\n  -3   0  17   37.15   13.06\r\n   3   0 -16   -3.92    5.75\r\n  -3   0  16   -1.13    1.40\r\n  -3   0  15    1.57    1.63\r\n   3   0 -15    6.98    7.97\r\n   3   0 -14    0.65    3.99\r\n  -3   0  14    1.26    2.42\r\n   3   0 -13  238.11   28.00\r\n  -3   0  13  244.52   15.62\r\n  -3   0  12    0.41    2.68\r\n   3   0 -12    2.18    5.52\r\n   3   0 -11  939.05   51.53\r\n  -3   0  11  832.30   30.33\r\n   3   0 -10   -5.35    5.64\r\n  -3   0  10   -0.94    2.50\r\n  -3   0  10    0.81    3.33\r\n   3   0  -9   83.87   14.52\r\n  -3   0   9   97.01   15.41\r\n  -3   0   8    2.08    4.25\r\n   3   0  -8   -0.35    3.72\r\n   3   0  -7    3.99    4.50\r\n  -3   0   7    2.63    3.19\r\n   3   0  -6   -1.13    3.50\r\n  -3   0   6   -1.66    3.11\r\n   3   0  -5   11.38    5.50\r\n  -3   0   5   12.36    5.47\r\n   3   0  -4   -0.79    3.88\r\n  -3   0   4   -2.95    4.24\r\n  -3   0   3 1301.72   48.05\r\n   3   0  -3 1156.67   45.62\r\n  -3   0   2   -0.77    3.63\r\n   3   0  -2   -1.10    3.70\r\n   3   0  -1 1189.39   44.70\r\n  -3   0   1 1252.71   42.16\r\n  -3   0   0   -0.11    3.01\r\n   3   0   0    0.94    4.20\r\n   3   0   1 1468.47   49.80\r\n  -3   0  -1 1489.36   45.20\r\n  -3   0  -2    1.65    3.51\r\n   3   0   2    4.03    4.83\r\n  -3   0  -3 2039.78   53.09\r\n   3   0   3 1975.70   52.70\r\n  -3   0  -4   -1.45    3.47\r\n   3   0   4   -4.89    4.63\r\n  -3   0  -5  404.05   24.78\r\n   3   0   5  355.98   23.28\r\n   3   0   6   -0.23    3.70\r\n  -3   0  -6    0.42    2.57\r\n  -3   0  -7 2218.45   61.22\r\n   3   0   7 2133.29   60.25\r\n   3   0   8    0.78    4.04\r\n  -3   0  -8   -5.11    4.54\r\n   3   0   9   79.91   12.79\r\n  -3   0  -9   84.58   12.73\r\n   3   0  10    1.62    5.13\r\n  -3   0 -10  -14.24    6.07\r\n   3   0  11   20.17    7.42\r\n  -3   0 -11   16.80    7.61\r\n  -3   0 -11    1.46    2.96\r\n   3   0  12   -0.90    4.72\r\n  -3   0 -12    6.60    5.50\r\n  -3   0 -12    1.87    3.31\r\n   3   0  13   15.14    7.14\r\n  -3   0 -13   19.68    8.57\r\n  -3   0 -13    9.17    5.32\r\n   3   0  14    0.46    4.99\r\n  -3   0 -14   -2.05    4.97\r\n   3   0  15  384.64   33.46\r\n  -3   0 -15  381.72   37.69\r\n   3   0  16    9.17    7.59\r\n  -3   0 -16   -0.89    5.36\r\n   3   0  17  284.66   30.89\r\n  -3   0 -17  357.69   37.44\r\n   3   0  18   -1.40    4.55\r\n  -3   0 -18   13.19   10.45\r\n   3   0  19   67.61   16.34\r\n  -3   0 -19   96.78   20.15\r\n   3   0  20    3.94    7.94\r\n  -3   0 -20   -6.81    6.72\r\n  -3   0 -21   18.03   10.36\r\n  -3  -1  22  -17.13   11.59\r\n  -3   1  22    3.11    8.59\r\n  -3  -1  21  -15.87   10.33\r\n  -3   1  21   16.22   10.66\r\n  -3  -1  20   17.42   10.52\r\n  -3   1  20    9.60    8.93\r\n  -3  -1  19  159.65   27.61\r\n  -3   1  19  171.02   29.08\r\n  -3   1  18   35.91   13.24\r\n   3   1 -18   23.42   10.04\r\n  -3   1  17   36.33   13.25\r\n   3   1 -17   28.79   12.30\r\n  -3  -1  16   10.75    4.38\r\n   3   1 -16    8.02    5.97\r\n  -3   1  16   17.91   10.88\r\n   3   1 -15    2.51    4.27\r\n  -3   1  15    8.06    7.59\r\n  -3  -1  15    3.41    2.42\r\n   3   1 -14  472.98   40.27\r\n  -3   1  14  433.55   39.28\r\n  -3  -1  14  470.70   26.88\r\n  -3   1  13   59.10   14.77\r\n   3  -1 -13   37.13   12.10\r\n   3   1 -13   56.22   14.23\r\n  -3   1  13   42.11    4.00\r\n  -3   1  13   41.91    4.22\r\n  -3  -1  13   33.20    7.44\r\n  -3   1  12    7.72    2.85\r\n   3   1 -12   14.57    7.68\r\n   3  -1 -12   -1.17    5.32\r\n  -3   1  12    7.69    2.46\r\n  -3  -1  12    8.26    4.34\r\n   3  -1 -11   28.73   10.28\r\n  -3   1  11   31.89    5.17\r\n  -3  -1  11   30.85    7.47\r\n   3   1 -11   17.80    9.19\r\n  -3   1  10   37.66   10.04\r\n   3  -1 -10   36.28   10.27\r\n  -3  -1  10   30.66    9.44\r\n   3   1 -10   47.46   12.03\r\n  -3  -1  10   38.84    8.34\r\n  -3   1   9   25.32    8.26\r\n   3   1  -9   33.20   10.09\r\n  -3  -1   9   35.68    7.90\r\n   3  -1  -9   36.27    9.59\r\n   3  -1  -8  989.34   48.53\r\n  -3  -1   8 1046.78   40.57\r\n   3   1  -8 1001.20   49.55\r\n   3   1  -7    7.79    4.21\r\n   3  -1  -7   17.49    7.63\r\n  -3   1   7    7.94    4.52\r\n   3   1  -6   -5.83    4.73\r\n   3  -1  -6   -2.47    3.22\r\n   3   1  -5  418.68   30.06\r\n  -3   1   5  425.22   27.77\r\n   3  -1  -5  438.05   28.77\r\n  -3   1   4   99.99   13.47\r\n   3   1  -4   99.65   14.74\r\n   3  -1  -4   93.74   13.57\r\n  -3   1   3  313.35   22.64\r\n   3   1  -3  277.17   23.86\r\n   3  -1  -3  278.29   21.43\r\n  -3  -1   3  313.22   23.74\r\n   3  -1  -2   62.33   10.75\r\n  -3  -1   2   67.14   11.22\r\n   3   1  -2   68.46   12.42\r\n  -3   1   2   75.38   10.99\r\n  -3   1   1 2025.33   53.61\r\n   3   1  -1 2015.11   63.91\r\n  -3  -1   1 2176.15   61.17\r\n   3  -1  -1 2039.59   55.27\r\n   3   1   0    1.52    4.26\r\n  -3  -1   0   -0.34    3.70\r\n  -3   1   0    6.13    3.45\r\n   3  -1   0    4.39    3.13\r\n   3   1   1  153.81   17.68\r\n  -3  -1  -1  156.55   16.39\r\n  -3   1  -1  159.05   13.04\r\n   3  -1   1  131.33   13.94\r\n  -3  -1  -2  976.41   40.90\r\n  -3   1  -2  974.78   31.08\r\n   3  -1   2  994.12   36.86\r\n   3   1   2  956.20   40.87\r\n  -3   1  -3  909.30   30.35\r\n  -3  -1  -3  978.20   41.61\r\n   3  -1   3  896.59   35.32\r\n   3   1   3  878.83   40.01\r\n  -3   1  -4  291.89   17.31\r\n  -3  -1  -4  301.42   23.62\r\n   3  -1   4  260.55   19.22\r\n   3   1   4  268.14   22.71\r\n  -3   1  -5  388.80   20.45\r\n  -3  -1  -5  440.67   28.99\r\n   3   1   5  407.03   28.30\r\n   3  -1   5  432.56   21.59\r\n   3   1   6    4.68    5.28\r\n   3  -1   6    7.08    3.36\r\n  -3   1  -6    6.96    3.81\r\n  -3  -1  -6   12.72    5.91\r\n  -3   1  -7   93.14   16.86\r\n  -3   1  -7  105.22   11.64\r\n  -3  -1  -7  108.26   15.29\r\n   3   1   7  106.38   15.46\r\n   3  -1   7   90.81   10.78\r\n  -3   1  -8   53.34   12.86\r\n   3   1   8   52.21   11.52\r\n  -3  -1  -8   55.05   11.83\r\n   3  -1   8   58.68    9.19\r\n  -3   1  -8   62.18    9.23\r\n  -3   1  -9   73.86   15.65\r\n   3   1   9   72.25   13.36\r\n  -3   1  -9   84.38   11.49\r\n   3  -1   9   80.32   11.06\r\n  -3  -1  -9   48.58   11.07\r\n  -3   1 -10  430.83   37.48\r\n  -3   1 -10  445.97   27.22\r\n  -3  -1 -10  330.31   28.99\r\n   3   1  10  422.93   32.21\r\n   3  -1  10  434.78   26.30\r\n  -3   1 -11 1361.09   49.54\r\n  -3  -1 -11 1323.41   59.62\r\n   3   1  11 1311.73   58.36\r\n   3  -1  11 1245.03   46.12\r\n  -3   1 -11 1226.85   64.40\r\n   3   1  12   24.44    8.45\r\n   3  -1  12   29.63    8.31\r\n  -3   1 -12   45.27   14.14\r\n  -3   1 -12   20.02    6.94\r\n   3   1  13   12.32    5.75\r\n   3  -1  13   13.58    5.56\r\n  -3   1 -13    6.43    6.38\r\n  -3   1 -13   23.09    7.09\r\n  -3   1 -14  236.93   23.23\r\n   3  -1  14  149.10   18.26\r\n   3   1  14  211.42   25.69\r\n  -3   1 -14  218.76   29.31\r\n  -3  -1 -14  253.53   29.75\r\n   3  -1  15  163.27   19.85\r\n   3   1  15  227.08   27.68\r\n  -3   1 -15  217.67   29.28\r\n  -3  -1 -15  167.76   25.04\r\n   3  -1  16   13.24    6.62\r\n   3   1  16   36.31   12.63\r\n  -3   1 -16   36.47   12.69\r\n  -3  -1 -16    5.43    6.92\r\n   3  -1  17   28.33   10.28\r\n   3   1  17   29.74   12.47\r\n  -3   1 -17   10.84    8.33\r\n  -3  -1 -17   21.91   10.16\r\n   3  -1  18   92.48   16.68\r\n   3   1  18   93.53   19.61\r\n  -3   1 -18  103.89   21.22\r\n  -3  -1 -18   96.44   20.18\r\n   3   1  19   23.70   10.77\r\n  -3   1 -19   -8.47    9.46\r\n  -3  -1 -19   10.55    7.76\r\n  -3   1 -20   18.04    9.94\r\n   3   1  20    7.80    7.31\r\n  -3  -1 -20   32.05   12.44\r\n  -3   1 -21  143.06   26.39\r\n   3   1  21  148.20   25.97\r\n  -3  -2  22   83.46   22.84\r\n  -3  -2  21   29.66   14.48\r\n  -3   2  21   -9.61    8.81\r\n  -3   2  20  116.90   25.06\r\n   3   2 -19   32.20   12.76\r\n  -3   2  19   42.53   14.91\r\n   3   2 -18  340.89   38.09\r\n  -3   2  18  301.78   38.13\r\n  -3   2  17   -7.43    7.94\r\n   3   2 -17   -3.23    7.27\r\n   3   2 -16  267.68   32.48\r\n  -3   2  16  261.31   33.41\r\n  -3  -2  16  267.67   23.85\r\n  -3   2  15   36.28   12.50\r\n   3   2 -15   44.04   13.31\r\n  -3  -2  15   31.07    8.60\r\n   3   2 -14    9.60    6.51\r\n  -3   2  14   11.82    6.66\r\n  -3  -2  14   10.61    5.55\r\n   3   2 -13    1.76    5.86\r\n  -3   2  13   26.38   11.67\r\n  -3  -2  13   17.76    6.99\r\n  -3   2  12  446.66   38.35\r\n  -3  -2  12  536.52   33.04\r\n   3   2 -12  475.06   38.25\r\n  -3   2  11    3.32    2.13\r\n  -3   2  11    4.78    7.18\r\n   3   2 -11    0.31    5.55\r\n  -3  -2  11    0.16    3.34\r\n  -3   2  10  659.07   43.10\r\n  -3  -2  10  694.90   37.04\r\n  -3   2  10  698.86   24.68\r\n  -3   2  10  759.56   45.35\r\n   3   2 -10  683.60   43.95\r\n   3  -2  -9  284.10   27.30\r\n  -3   2   9  268.61   26.33\r\n  -3  -2   9  332.07   29.95\r\n  -3  -2   9  291.85   24.02\r\n  -3   2   9  315.07   18.28\r\n  -3   2   9  264.63   25.85\r\n   3   2  -9  283.72   27.78\r\n  -3   2   8   26.50    5.83\r\n   3   2  -8   19.34    8.33\r\n  -3   2   8   31.55    8.63\r\n  -3  -2   8   30.40    9.39\r\n  -3   2   8   22.13    6.93\r\n   3  -2  -8   32.90    9.67\r\n  -3  -2   8   15.49    5.63\r\n   3  -2  -7   24.29    7.76\r\n  -3   2   7   27.32    7.97\r\n  -3   2   7   21.16    5.59\r\n  -3   2   7   16.93    6.99\r\n  -3  -2   7   35.19    8.73\r\n   3   2  -7   24.74    8.28\r\n   3  -2  -6  631.22   36.17\r\n  -3  -2   6  679.17   36.58\r\n   3   2  -6  630.41   38.89\r\n  -3   2   6  653.94   31.32\r\n  -3   2   5   66.57   11.46\r\n  -3  -2   5   62.21   11.62\r\n   3   2  -5   48.23   11.64\r\n  -3   2   5   81.03   12.29\r\n   3  -2  -5   87.44   13.31\r\n   3  -2  -4 2795.13   70.23\r\n   3   2  -4 2701.36   79.08\r\n  -3   2   4 2782.95   67.83\r\n  -3   2   4 2850.54   70.37\r\n  -3   2   3   12.93    6.45\r\n   3  -2  -3   10.46    4.96\r\n   3   2  -3   10.43    6.90\r\n  -3   2   3   17.28    5.91\r\n  -3   2   2  355.70   26.61\r\n   3   2  -2  374.15   29.36\r\n  -3   2   2  402.08   23.83\r\n  -3  -2   2  388.25   28.45\r\n   3  -2  -2  377.04   23.37\r\n   3   2  -1  122.09   16.57\r\n  -3   2   1  127.15   13.10\r\n  -3  -2   1  141.62   17.38\r\n  -3   2   1  126.81   16.57\r\n   3  -2  -1  127.51   12.93\r\n  -3   2   0  378.62   29.07\r\n   3   2   0  360.70   28.50\r\n  -3  -2   0  311.41   25.26\r\n   3  -2   0  388.60   21.80\r\n  -3   2  -1   10.99    5.93\r\n  -3  -2  -1    6.99    4.72\r\n   3  -2   1    5.26    3.50\r\n  -3   2  -1    4.33    1.79\r\n   3   2   1    0.30    5.79\r\n   3  -2   2  184.58   13.89\r\n  -3  -2  -2  191.46   20.33\r\n  -3   2  -2  201.65   11.25\r\n  -3   2  -2  204.63   22.35\r\n   3   2   2  190.39   20.52\r\n   3   2   3  150.51   18.43\r\n  -3   2  -3  157.15    9.43\r\n  -3  -2  -3  153.71   18.49\r\n   3  -2   3  139.36   11.73\r\n  -3   2  -3  187.13   22.41\r\n  -3   2  -4    3.56    6.34\r\n   3   2   4    5.88    4.18\r\n   3  -2   4    0.20    2.57\r\n  -3   2  -4    4.12    1.80\r\n   3   2   5  131.48   17.70\r\n  -3   2  -5  162.14    9.45\r\n  -3  -2  -5  131.28   17.49\r\n   3  -2   5  147.61   12.00\r\n  -3   2  -6  125.52    8.64\r\n   3  -2   6  104.96   10.46\r\n   3   2   6  119.15   17.53\r\n  -3  -2  -6  108.42   16.49\r\n  -3   2  -7  414.02   16.87\r\n  -3  -2  -7  433.27   32.82\r\n   3  -2   7  429.99   21.74\r\n   3   2   7  414.01   32.81\r\n  -3   2  -7  341.90   32.41\r\n  -3   2  -8  437.70   18.74\r\n   3   2   8  398.74   32.39\r\n  -3   2  -8  440.46   37.64\r\n   3  -2   8  423.62   17.90\r\n   3  -2   9  290.61   16.08\r\n   3   2   9  252.64   26.37\r\n  -3   2  -9  261.88   29.86\r\n  -3   2 -10 1051.03   60.03\r\n   3   2  10 1126.37   56.46\r\n   3  -2  10 1125.88   34.33\r\n  -3   2 -11   43.59   13.66\r\n   3   2  11   45.22   12.19\r\n   3  -2  11   38.44    6.86\r\n  -3   2 -12  130.15   21.66\r\n   3   2  12   92.03   18.16\r\n   3  -2  12   97.33   11.72\r\n  -3   2 -13    7.41    7.94\r\n   3   2  13    5.19    6.06\r\n   3  -2  13    0.67    2.39\r\n   3   2  14  495.85   42.40\r\n   3  -2  14  517.31   29.60\r\n  -3   2 -14  416.43   40.79\r\n  -3   2 -15   27.31   10.47\r\n   3   2  15   24.28   10.38\r\n   3  -2  15   40.51    9.35\r\n  -3   2 -16   39.63   13.92\r\n   3   2  16   71.02   17.62\r\n  -3   2 -17    8.81    4.87\r\n   3   2  17   -9.47    9.68\r\n   3   2  18   80.96   18.73\r\n  -3  -2 -18   93.83   19.41\r\n  -3   2 -19   35.73   12.81\r\n   3   2  19   34.45   14.42\r\n  -3  -2 -19   24.36    9.80\r\n  -3   2 -20   19.50   10.44\r\n   3   2  20   23.13   11.57\r\n  -3   2 -21   -3.80    6.40\r\n   3   2  21  -19.83   11.08\r\n  -3  -3  22   -6.22    8.17\r\n  -3   3  21   56.45   18.52\r\n  -3   3  20   39.25   16.01\r\n   3   3 -20   38.94   13.22\r\n   3   3 -19    2.68    5.76\r\n  -3   3  19   -8.74   12.41\r\n   3   3 -18   26.69   10.80\r\n  -3   3  18   15.81   11.88\r\n   3   3 -17  252.72   32.17\r\n  -3   3  17  221.56   32.31\r\n   3   3 -16    9.86    4.76\r\n  -3   3  16    5.35    6.82\r\n   3   3 -15    7.46    6.49\r\n  -3   3  15   -4.72    6.87\r\n  -3   3  14 1180.13   67.60\r\n   3   3 -14 1184.44   65.16\r\n  -3   3  13  426.19   39.28\r\n   3   3 -13  469.98   39.63\r\n   3   3 -12    2.88    4.96\r\n  -3   3  12    2.70    1.05\r\n   3   3 -11   15.56    9.11\r\n  -3   3  11   -1.67    5.25\r\n  -3  -3  11    5.47    6.48\r\n  -3   3  11    2.81    1.69\r\n   3   3 -10   15.63    7.55\r\n  -3   3  10   15.35    8.15\r\n  -3  -3  10   17.14    7.24\r\n  -3   3  10   23.81    5.30\r\n  -3   3   9  667.57   42.34\r\n  -3   3   9  730.78   29.39\r\n   3   3  -9  690.58   44.91\r\n  -3   3   9  742.47   43.82\r\n  -3   3   8 2165.54   73.07\r\n  -3  -3   8 2000.72   69.74\r\n   3   3  -8 2127.67   77.64\r\n  -3   3   7   39.14    8.25\r\n  -3   3   7   42.34   10.02\r\n  -3   3   7   28.20    9.16\r\n   3   3  -7   31.39    9.55\r\n  -3  -3   7   18.21    6.74\r\n  -3   3   6  168.57   18.82\r\n  -3  -3   6  136.84   18.05\r\n   3   3  -6  130.32   18.50\r\n  -3   3   6  161.18   16.41\r\n  -3   3   6  171.72   18.74\r\n  -3   3   5  143.94   16.47\r\n  -3  -3   5  171.66   20.36\r\n   3   3  -5  140.78   19.44\r\n  -3  -3   5  155.92   20.24\r\n  -3   3   5  172.79   17.96\r\n  -3   3   5  181.31   18.35\r\n  -3   3   4   36.04    8.88\r\n  -3  -3   4   31.92   10.04\r\n   3   3  -4   25.04    9.24\r\n  -3   3   4   27.04    7.27\r\n  -3  -3   4   39.97   10.20\r\n  -3   3   4   36.60    8.00\r\n  -3   3   3   59.25   11.23\r\n  -3  -3   3   40.11   10.73\r\n   3   3  -3   50.05   11.81\r\n  -3   3   3   54.18    9.18\r\n  -3  -3   3   70.90   13.54\r\n  -3   3   3   40.24    7.71\r\n  -3   3   2  135.82   13.10\r\n   3   3  -2  151.05   20.13\r\n  -3  -3   2  163.29   20.46\r\n  -3  -3   2  145.57   18.75\r\n  -3   3   2  144.15   13.87\r\n  -3   3   2  124.70   16.69\r\n  -3   3   1  220.82   14.73\r\n   3   3  -1  191.16   22.37\r\n  -3  -3   1  234.63   23.99\r\n  -3   3   1  219.12   16.20\r\n  -3   3   1  193.38   21.10\r\n  -3   3   0   33.66    9.25\r\n  -3  -3   0   33.21    9.87\r\n  -3   3   0   24.27    5.29\r\n   3   3   0   28.00    8.88\r\n  -3   3   0   35.35    5.38\r\n   3  -3   0   31.94    6.04\r\n  -3  -3  -1    9.08    6.31\r\n   3  -3   1   17.11    4.41\r\n  -3   3  -1   13.25    2.64\r\n   3   3   1    8.03    6.61\r\n  -3   3  -1   19.17    3.24\r\n   3  -3   2  471.15   18.46\r\n  -3  -3  -2  493.29   35.33\r\n  -3   3  -2  476.52   35.81\r\n   3   3   2  438.26   33.73\r\n   3  -3   3  767.12   20.70\r\n   3   3   3  687.56   42.59\r\n  -3   3  -3  774.89   46.76\r\n   3  -3   4  561.19   14.93\r\n   3   3   4  590.14   39.94\r\n  -3   3  -4  581.07   41.49\r\n  -3   3  -5   27.36   10.44\r\n   3   3   5   17.88    7.86\r\n  -3   3  -6   72.14   15.74\r\n   3   3   6   51.31   12.83\r\n  -3   3  -7    8.92    6.53\r\n   3   3   7   12.17    7.01\r\n  -3   3  -8    0.79    6.11\r\n   3   3   8   10.78    8.35\r\n  -3   3  -9  125.34   21.38\r\n   3   3   9  153.13   22.71\r\n   3  -3   9  140.51    7.70\r\n   3  -3   9  105.50    6.64\r\n   3   3  10  162.30   22.90\r\n   3  -3  10  149.18    9.59\r\n  -3   3 -10  187.70   27.30\r\n   3  -3  11  260.21   13.93\r\n   3   3  11  220.17   27.91\r\n  -3   3 -11  255.58   31.75\r\n   3  -3  11  245.11   13.42\r\n  -3   3 -12   51.11   14.97\r\n   3   3  12   38.53   12.94\r\n  -3   3 -13   21.58    9.84\r\n   3   3  13   19.02    9.45\r\n   3   3  14  366.68   38.97\r\n  -3   3 -14  332.70   37.83\r\n  -3   3 -15    0.90    6.78\r\n   3   3  15    8.01    8.11\r\n  -3   3 -16   -0.62    9.74\r\n   3   3  16    7.55    6.47\r\n  -3   3 -17    5.81    8.55\r\n   3   3  17   -0.85    7.13\r\n  -3   3 -18   36.20   12.31\r\n   3   3  18   39.34   14.42\r\n  -3   3 -19   90.61   21.12\r\n   3   3  19   74.60   19.74\r\n  -3   3 -20  162.80   29.61\r\n   3   4 -21   80.34   20.53\r\n   3   4 -20    6.47    7.21\r\n  -3   4  20  -12.41    9.55\r\n   3   4 -19  123.77   23.53\r\n  -3   4  19  144.46   27.66\r\n   3   4 -18   20.87   10.23\r\n  -3   4  18    8.01    7.20\r\n   3   4 -17   16.39   10.95\r\n  -3   4  17    3.12    7.36\r\n   3   4 -16   33.40   12.89\r\n  -3   4  16   30.04   13.18\r\n  -3   4  15   95.58   20.57\r\n   3   4 -15  114.51   20.99\r\n  -3   4  14   53.89   15.25\r\n   3   4 -14   75.97   16.41\r\n   3   4 -13   93.99   17.99\r\n  -3   4  13  118.39   21.93\r\n   3   4 -12    6.18    6.53\r\n  -3   4  12    1.34    5.11\r\n  -3   4  12    2.34    1.52\r\n  -3   4  11  209.36   26.35\r\n  -3   4  11  279.99   17.19\r\n   3   4 -11  225.77   27.56\r\n   3   4 -10    1.41    4.26\r\n  -3   4  10    2.18    5.69\r\n  -3   4  10   -0.34    2.05\r\n  -3   4   9  474.77   37.34\r\n  -3   4   9  597.43   30.23\r\n   3   4  -9  533.89   40.96\r\n  -3   4   8   77.19   15.32\r\n  -3   4   8   92.02   12.74\r\n   3   4  -8   56.04   13.27\r\n  -3   4   8  115.47   17.31\r\n  -3   4   7  -11.83    5.64\r\n  -3   4   7    6.45    6.32\r\n   3   4  -7   -0.17    5.07\r\n  -3   4   7   -0.40    3.39\r\n  -3   4   6    1.63    3.41\r\n   3   4  -6   -1.60    5.92\r\n  -3   4   6    2.94    3.91\r\n  -3   4   6    0.22    2.98\r\n  -3   4   5   65.47   11.62\r\n  -3   4   5   63.78   11.14\r\n   3   4  -5   49.06   12.53\r\n  -3   4   5   52.31   10.20\r\n  -3   4   4  347.97   24.50\r\n   3   4  -4  336.84   31.24\r\n  -3   4   4  356.26   28.30\r\n  -3   4   4  358.90   25.36\r\n  -3   4   3  196.21   17.14\r\n   3   4  -3  180.00   23.56\r\n  -3   4   3  213.61   22.27\r\n  -3   4   3  204.59   17.94\r\n  -3   4   2   29.31    9.19\r\n   3   4  -2   26.88   10.43\r\n  -3   4   2   27.34    6.23\r\n  -3   4   2   38.25    7.24\r\n  -3   4   1  507.62   21.90\r\n   3   4  -1  479.38   37.33\r\n  -3   4   1  523.56   23.96\r\n  -3   4   1  588.69   39.39\r\n  -3   4   0  131.62    9.37\r\n   3   4   0  123.88   19.53\r\n  -3   4   0  125.36   10.66\r\n  -3   4   0  121.19   18.88\r\n  -3   4  -1  318.17   30.56\r\n   3   4   1  323.77   31.13\r\n  -3   4  -2 1006.47   55.02\r\n   3   4   2 1062.67   56.75\r\n  -3   4  -3  303.67   31.00\r\n   3   4   3  262.51   28.67\r\n   3   4   4  619.94   44.27\r\n  -3   4  -4  656.62   46.63\r\n  -3   4  -5   48.87   13.91\r\n   3   4   5   35.92   11.73\r\n  -3   4  -6   11.29    6.87\r\n   3   4   6   12.45    8.38\r\n  -3   4  -7  156.85   23.78\r\n   3   4   7  146.74   23.03\r\n  -3   4  -8   87.27   18.49\r\n   3   4   8   97.25   19.52\r\n   3   4   9  380.16   37.90\r\n  -3   4  -9  412.16   40.68\r\n  -3   4 -10   86.99   19.34\r\n   3   4  10  110.89   21.04\r\n  -3   4 -11   15.10    9.73\r\n   3   4  11   12.38    8.43\r\n  -3   4 -12   -0.75    6.66\r\n   3   4  12    3.20    7.09\r\n  -3   4 -13  159.84   27.54\r\n   3   4  13  146.95   25.89\r\n  -3   4 -14  201.61   30.99\r\n   3   4  14  195.39   29.90\r\n  -3   4 -15   79.58   20.12\r\n   3   4  15   82.42   20.21\r\n  -3   4 -16   12.36    9.67\r\n   3   4  16   19.41   11.11\r\n  -3   4 -17   -6.12    7.60\r\n   3   4  17   13.43    9.29\r\n  -3   4 -18   40.41   15.35\r\n   3   5 -21   33.49   13.67\r\n   3   5 -20   11.56    8.34\r\n   3   5 -19  121.61   24.69\r\n   3   5 -18   10.97    9.60\r\n  -3   5  18    5.86    6.15\r\n   3   5 -17   10.90    8.88\r\n  -3   5  17    6.02    8.99\r\n   3   5 -16  112.72   22.42\r\n  -3   5  16   72.64   19.08\r\n  -3   5  15   85.94   20.45\r\n   3   5 -15   89.61   18.54\r\n   3   5 -14   53.39   15.40\r\n  -3   5  14   66.04   17.22\r\n   3   5 -13   62.43   15.57\r\n  -3   5  13   58.91   16.00\r\n   3   5 -12    0.42    4.53\r\n  -3   5  12   -4.27    8.29\r\n   3   5 -11    5.19    6.69\r\n  -3   5  11   -2.81    6.61\r\n  -3   5  11   -0.55    2.31\r\n   3   5 -10   -0.03    6.05\r\n  -3   5  10   -2.37    6.99\r\n  -3   5  10    3.69    3.07\r\n  -3   5   9  145.23   20.84\r\n  -3   5   9  178.34   18.55\r\n   3   5  -9  151.88   23.00\r\n   3   5  -8   49.03   13.43\r\n  -3   5   8   60.28   13.35\r\n  -3   5   8   44.27    9.14\r\n  -3   5   7  562.12   37.65\r\n  -3   5   7  609.40   37.07\r\n   3   5  -7  531.47   41.53\r\n  -3   5   7  645.19   40.43\r\n  -3   5   6  363.62   28.80\r\n   3   5  -6  368.03   35.09\r\n  -3   5   6  379.05   30.24\r\n  -3   5   6  373.83   29.41\r\n   3   5  -5   20.49    8.46\r\n  -3   5   5   17.37    6.22\r\n  -3   5   5   29.01    8.29\r\n  -3   5   5   31.39    9.73\r\n  -3   5   4   36.92    8.53\r\n   3   5  -4   36.15   11.70\r\n  -3   5   4   60.20   10.82\r\n  -3   5   4   45.83   12.50\r\n  -3   5   3  292.86   21.27\r\n   3   5  -3  280.46   30.77\r\n  -3   5   3  283.39   28.11\r\n  -3   5   3  243.88   19.90\r\n   3   5  -2   -0.91    4.25\r\n  -3   5   2    1.07    1.62\r\n  -3   5   2    4.90    3.46\r\n  -3   5   2   -4.15    5.21\r\n  -3   5   1   33.22    5.59\r\n   3   5  -1   39.92   12.10\r\n  -3   5   1   31.53    5.86\r\n  -3   5   1   30.97    9.29\r\n  -3   5   0  136.27    9.48\r\n  -3   5   0  103.14    9.05\r\n  -3   5   0  162.18   22.93\r\n   3   5   0  148.42   22.76\r\n  -3   5  -1  397.87   36.04\r\n   3   5   1  410.24   37.91\r\n  -3   5  -2  151.67   22.74\r\n   3   5   2  158.88   23.64\r\n   3   5   3  155.39   23.86\r\n  -3   5  -3  155.07   23.47\r\n  -3   5  -4    1.77    5.69\r\n   3   5   4    4.39    8.14\r\n  -3   5  -5   14.33    9.36\r\n   3   5   5   19.46   10.06\r\n  -3   5  -6  149.00   24.22\r\n   3   5   6  161.99   25.59\r\n  -3   5  -7   21.52   10.08\r\n   3   5   7    1.29    6.02\r\n  -3   5  -8    3.85    7.78\r\n   3   5   8    7.04    7.13\r\n  -3   5  -9   17.44    8.85\r\n   3   5   9   27.21   11.15\r\n  -3   5 -10  161.65   26.97\r\n   3   5  10  141.64   26.17\r\n   3   5  11  241.28   33.41\r\n  -3   5 -11  241.07   33.65\r\n  -3   5 -12   78.59   19.68\r\n   3   5  12   88.49   21.02\r\n  -3   5 -13   -5.21    5.89\r\n   3   5  13    4.71    7.67\r\n   3   5  14    5.92    8.26\r\n  -3   5 -14   14.96    9.75\r\n   3   5  15   10.15    8.79\r\n  -3   5 -15    4.41    9.57\r\n   3   6 -18   24.25   11.06\r\n   3   6 -17   32.06   12.61\r\n  -3   6  17   32.74   12.50\r\n   3   6 -16   18.99    8.83\r\n  -3   6  16   25.68   10.36\r\n   3   6 -15   23.58   10.50\r\n  -3   6  15   39.36   15.45\r\n   3   6 -14    9.99    9.29\r\n  -3   6  14   -7.51    7.67\r\n   3   6 -13    2.63    6.33\r\n  -3   6  13    7.14    7.15\r\n   3   6 -12  137.30   23.72\r\n  -3   6  12  117.69   21.83\r\n   3   6 -11   20.10    9.88\r\n  -3   6  11   18.25    8.84\r\n   3   6 -10  129.74   22.18\r\n  -3   6  10  146.59   17.76\r\n  -3   6  10  127.18   21.60\r\n   3   6  -9   10.76    9.10\r\n  -3   6   9    5.22    4.21\r\n  -3   6   9   15.18    8.90\r\n   3   6  -8   -7.59    6.97\r\n  -3   6   8   -0.26    4.03\r\n  -3   6   8    8.08    5.98\r\n   3   6  -7    6.26    4.03\r\n  -3   6   7    7.87    5.33\r\n  -3   6   7   -1.62    4.42\r\n   3   6  -6   -7.19    6.91\r\n  -3   6   6    9.50    6.28\r\n  -3   6   6  -15.42    7.12\r\n   3   6  -5   10.51    8.54\r\n  -3   6   5   21.97    8.57\r\n  -3   6   5   -0.78    4.55\r\n  -3   6   4    4.66    4.32\r\n   3   6  -4    3.38    5.11\r\n  -3   6   4    0.86    4.15\r\n  -3   6   3   -0.60    4.22\r\n   3   6  -3    8.44    6.83\r\n  -3   6   3   -1.78    4.10\r\n  -3   6   2  240.75   18.31\r\n   3   6  -2  245.39   30.15\r\n  -3   6   2  239.10   28.99\r\n   3   6  -1   53.82   15.26\r\n  -3   6   1   71.80    9.20\r\n  -3   6   1   54.32   14.89\r\n   3   6   0  236.42   30.76\r\n  -3   6   0  312.45   34.22\r\n   3   6   1  131.18   23.04\r\n  -3   6  -1  114.51   21.38\r\n   3   6   2   13.22    9.48\r\n  -3   6  -2   19.62    9.73\r\n   3   6   3  153.32   25.77\r\n  -3   6  -3  138.32   23.83\r\n   3   6   4  171.31   27.56\r\n  -3   6  -4  175.39   26.95\r\n   3   6   5   37.67   15.49\r\n  -3   6  -5   20.67   10.23\r\n  -3   6  -6  276.07   35.25\r\n   3   6   6  274.77   34.91\r\n   3   6   7    7.07    7.39\r\n  -3   6  -7  -16.53    9.29\r\n   3   6   8   71.73   18.80\r\n  -3   6  -8   41.90   14.28\r\n   3   6   9    3.47    6.25\r\n  -3   6  -9   10.99    8.05\r\n   3   6  10   31.74   15.14\r\n  -3   6 -10   24.90   11.77\r\n   3   6  11   42.24   16.43\r\n  -3   6 -11   49.11   17.50\r\n   3   6  12   19.79   14.24\r\n  -3   6 -12   26.35   12.85\r\n  -3   7  15  -18.67   11.32\r\n   3   7 -14   64.66   17.05\r\n  -3   7  14   64.50   18.08\r\n   3   7 -13   72.68   18.42\r\n  -3   7  13   70.62   18.52\r\n   3   7 -12    7.98    5.75\r\n  -3   7  12    0.65    4.84\r\n   3   7 -11   17.91    8.27\r\n  -3   7  11   30.10   12.25\r\n   3   7 -10   -0.56    4.20\r\n  -3   7  10    7.21    6.52\r\n  -3   7   9   29.56   10.67\r\n   3   7  -9   29.38   11.95\r\n  -3   7   8  137.14   21.19\r\n  -3   7   8  174.98   23.18\r\n   3   7  -8  156.18   25.58\r\n  -3   7   7   17.53    7.81\r\n   3   7  -7   33.15   12.58\r\n  -3   7   7   12.52    6.17\r\n  -3   7   6    9.42    7.16\r\n   3   7  -6   -2.57    4.86\r\n   3   7  -5  110.60   21.37\r\n  -3   7   5   86.40   17.76\r\n   3   7  -4   17.20   10.95\r\n  -3   7   4   31.82   11.39\r\n   3   7  -3    4.49    6.68\r\n  -3   7   3    7.69    6.33\r\n   3   7  -2    0.08    6.70\r\n  -3   7   2   -4.83    5.65\r\n   3   7  -1   25.79   10.59\r\n  -3   7   1   29.75   12.81\r\n   3   7   0  149.74   25.47\r\n  -3   7   0  155.43   25.78\r\n   3   7   1    3.62    6.71\r\n  -3   7  -1   -4.09    8.80\r\n   3   7   2  100.41   22.07\r\n  -3   7  -2   93.61   21.02\r\n   3   7   3   19.44    9.42\r\n  -3   7  -3   26.19   11.77\r\n   3   7   4   44.23   15.46\r\n  -3   7  -4   35.87   13.73\r\n   3   7   5   17.93   10.63\r\n  -3   7  -5   37.11   13.32\r\n   3   7   6    8.04    7.75\r\n  -3   7  -6   -7.34    7.27\r\n   3   7   7   10.74    7.89\r\n  -3   7  -7    6.91    8.04\r\n   3   7   8    9.06    9.24\r\n  -3   7  -8    5.29    7.28\r\n   3   8 -10    5.96    7.38\r\n   3   8  -9   39.65   15.17\r\n   3   8  -8   22.16   10.68\r\n   3   8  -7   -1.73    8.29\r\n   3   8  -6    4.66    7.16\r\n  -3   8   6    6.01    5.28\r\n   3   8  -5   43.66   15.10\r\n  -3   8   5   33.89    9.89\r\n   3   8  -4   42.60   15.90\r\n  -3   8   4    6.55    6.37\r\n   3   8  -3   61.53   17.06\r\n  -3   8   3   90.00   19.85\r\n   3   8  -2    2.84    6.35\r\n  -3   8   2    8.24    6.01\r\n   3   8  -1   68.12   18.81\r\n  -3   8   1   71.15   17.84\r\n   3   8   0  151.25   26.32\r\n  -3   8   0  139.81   25.62\r\n   3   8   1   26.89   11.69\r\n  -3   8  -1   39.79   12.60\r\n   3   8   2  167.42   30.48\r\n  -3   8  -2  139.73   26.88\r\n  -4   0  21  -12.63   10.29\r\n  -4   0  20  112.36   24.61\r\n  -4   0  19    2.50    6.26\r\n   4   0 -18  229.02   33.17\r\n  -4   0  18  177.80   30.06\r\n   4   0 -17   -6.03    7.84\r\n   4   0 -16   64.25   17.68\r\n   4   0 -15  -17.54    9.41\r\n   4   0 -14    9.12    6.46\r\n  -4   0  14    8.40    4.43\r\n   4   0 -13    0.97    6.41\r\n  -4   0  13    7.49    3.97\r\n  -4   0  12  165.86   16.47\r\n   4   0 -12  140.43   22.79\r\n   4   0 -11   -6.06    8.73\r\n  -4   0  11   -1.58    3.29\r\n   4   0 -10  995.60   56.50\r\n   4   0  -9   -0.78    5.75\r\n   4   0  -8   12.86    7.31\r\n   4   0  -7   -1.20    6.37\r\n  -4   0   6   32.66    9.93\r\n   4   0  -6   20.36    7.52\r\n   4   0  -5   -1.28    5.48\r\n  -4   0   5    4.80    4.67\r\n  -4   0   4  267.47   25.45\r\n   4   0  -4  364.13   30.47\r\n  -4   0   3    1.50    4.92\r\n   4   0  -3   -6.78    7.24\r\n   4   0  -2  800.07   43.35\r\n  -4   0   2  864.59   41.42\r\n  -4   0   1    0.39    4.80\r\n   4   0  -1   -4.01    5.78\r\n   4   0   0 1544.91   59.81\r\n  -4   0   0 1615.45   55.31\r\n  -4   0  -1   -2.21    2.88\r\n   4   0   1   -1.90    4.86\r\n  -4   0  -2  162.16   17.22\r\n   4   0   2  153.03   18.80\r\n  -4   0  -3    0.25    3.94\r\n   4   0   3   -3.63    4.94\r\n  -4   0  -4   34.31    8.70\r\n   4   0   4   29.36   10.09\r\n   4   0   5    4.29    6.21\r\n  -4   0  -5   -0.37    2.94\r\n  -4   0  -6  122.41   15.75\r\n   4   0   6  111.13   15.46\r\n   4   0   7    4.70    4.90\r\n  -4   0  -7    6.82    4.59\r\n   4   0   8   70.05   12.65\r\n  -4   0  -8   69.46   12.57\r\n   4   0   9   -1.20    4.96\r\n  -4   0  -9   -6.34    4.92\r\n  -4   0 -10 1520.75   60.94\r\n   4   0  10 1451.45   59.11\r\n  -4   0 -11   10.40    9.90\r\n   4   0  11    2.20    4.28\r\n  -4   0 -11   -6.46    4.55\r\n  -4   0 -12  115.30   22.83\r\n   4   0  12  121.84   18.55\r\n  -4   0 -13   -0.33    7.81\r\n   4   0  13    8.21    5.94\r\n  -4   0 -14   29.60   13.38\r\n   4   0  14   27.77    9.30\r\n  -4   0 -15    9.60    7.75\r\n   4   0  15    0.48    3.61\r\n   4   0  16  238.43   28.01\r\n  -4   0 -16  318.55   39.04\r\n  -4   0 -17   -4.38    7.60\r\n  -4   0 -18   -6.71    7.78\r\n  -4   0 -19   -0.25    4.45\r\n  -4   0 -20   65.08   19.20\r\n  -4   1  20   -5.00    8.36\r\n   4   1 -19   42.56   15.97\r\n  -4   1  19   21.59   12.02\r\n   4   1 -18  213.72   32.01\r\n  -4   1  18  223.81   33.78\r\n  -4   1  17   63.69   18.67\r\n   4   1 -17   51.88   16.67\r\n   4   1 -16   -5.57    9.24\r\n  -4   1  16    2.77    7.86\r\n   4  -1 -15   10.38    7.53\r\n  -4   1  15   -0.36    6.90\r\n   4   1 -15    6.54    7.62\r\n  -4   1  14   40.80    6.72\r\n   4   1 -14   21.10   10.43\r\n   4  -1 -14   15.62    7.60\r\n  -4  -1  14   38.20    8.78\r\n   4   1 -13  137.54   23.59\r\n  -4   1  13  117.24   11.71\r\n  -4  -1  13  149.64   17.22\r\n   4  -1 -13  128.08   22.99\r\n   4  -1 -12  964.81   59.07\r\n  -4  -1  12  957.67   43.72\r\n   4   1 -12  961.32   58.84\r\n   4  -1 -11  219.96   27.64\r\n  -4  -1  11  221.00   21.31\r\n   4   1 -11  215.99   27.40\r\n   4   1 -10   20.05    8.22\r\n   4  -1 -10   28.92   11.26\r\n  -4  -1  10   25.65    7.31\r\n  -4  -1   9  186.84   19.91\r\n   4   1  -9  138.24   21.22\r\n   4  -1  -9  165.42   22.63\r\n   4   1  -8  389.04   34.75\r\n   4  -1  -8  403.72   33.85\r\n   4   1  -7   12.50    5.85\r\n  -4   1   7   28.06    8.64\r\n   4  -1  -7   32.36    9.66\r\n   4   1  -6  563.28   40.55\r\n   4  -1  -6  543.21   37.36\r\n  -4   1   5  169.46   20.15\r\n   4   1  -5  224.67   25.34\r\n  -4  -1   5  269.94   26.02\r\n   4  -1  -5  247.60   24.64\r\n  -4   1   4   -1.81    3.41\r\n   4  -1  -4    2.55    4.94\r\n  -4  -1   4   11.70    6.32\r\n   4   1  -4    4.55    5.44\r\n  -4   1   3   87.35   13.91\r\n   4  -1  -3   74.20   13.63\r\n  -4  -1   3   72.35   12.81\r\n   4   1  -3   70.40   13.63\r\n   4  -1  -2   84.42   13.96\r\n  -4  -1   2   76.06   13.24\r\n   4   1  -2   91.37   15.92\r\n  -4   1   2  100.65   13.13\r\n   4   1  -1  555.85   38.07\r\n   4  -1  -1  542.88   33.72\r\n  -4   1   1  607.77   31.64\r\n  -4  -1   0  417.34   30.77\r\n   4   1   0  517.94   37.01\r\n  -4   1   0  519.07   28.84\r\n   4  -1   0  540.76   32.92\r\n  -4  -1  -1  231.31   22.61\r\n   4   1   1  268.86   26.91\r\n  -4   1  -1  275.33   20.79\r\n   4  -1   1  278.83   23.75\r\n  -4  -1  -2  153.05   18.69\r\n  -4   1  -2  226.76   18.20\r\n   4   1   2  222.13   24.82\r\n   4  -1   2  213.16   20.64\r\n  -4   1  -3  190.07   16.92\r\n   4   1   3  207.41   23.59\r\n   4  -1   3  216.90   20.81\r\n  -4   1  -4   37.86    7.62\r\n  -4  -1  -4   21.25    7.50\r\n   4  -1   4   27.74    8.18\r\n   4   1   4   35.26    9.66\r\n  -4  -1  -5   84.70   14.44\r\n  -4   1  -5  119.08   20.23\r\n  -4   1  -5  137.81   14.39\r\n   4  -1   5  148.37   17.80\r\n   4   1   5  128.43   17.41\r\n  -4   1  -6  913.34   37.34\r\n   4  -1   6  829.69   41.90\r\n   4   1   6  876.61   46.39\r\n  -4   1  -6  809.58   53.65\r\n   4  -1   7   28.59    8.89\r\n  -4   1  -7   25.78   11.23\r\n   4   1   7   31.16    9.06\r\n  -4   1  -7   34.69    7.66\r\n  -4  -1  -7   28.61    8.59\r\n   4   1   8  371.17   31.24\r\n  -4   1  -8  308.37   34.57\r\n   4  -1   8  357.02   24.27\r\n  -4   1  -9    2.02    7.63\r\n   4   1   9   -3.39    5.87\r\n   4  -1   9    5.70    4.26\r\n  -4   1  -9   13.51    5.72\r\n  -4   1 -10   34.75   12.92\r\n   4   1  10   46.36   11.97\r\n   4  -1  10   28.04    7.27\r\n  -4   1 -10   47.36    9.36\r\n  -4   1 -11    8.40    8.65\r\n   4   1  11    4.09    7.11\r\n   4  -1  11   -2.44    3.37\r\n  -4   1 -12   40.49   12.15\r\n   4   1  12   57.96   14.60\r\n   4  -1  12   31.02    8.10\r\n  -4   1 -13  154.21   26.40\r\n   4   1  13  165.20   23.81\r\n   4  -1  13  169.92   19.45\r\n  -4   1 -14   38.70   14.24\r\n  -4  -1 -14   23.85   11.58\r\n   4   1  14   22.03    9.52\r\n   4  -1  14   27.64    9.06\r\n  -4   1 -15  150.44   27.46\r\n  -4  -1 -15  109.04   22.19\r\n   4   1  15   97.43   19.15\r\n  -4   1 -16   73.54   18.43\r\n  -4  -1 -16   67.76   18.75\r\n   4   1  16   55.18   15.49\r\n  -4   1 -17   -3.71    6.65\r\n  -4  -1 -17    1.03    7.06\r\n   4   1  17    5.95    5.85\r\n  -4   1 -18   50.89   16.81\r\n  -4  -1 -18   40.08   15.48\r\n   4   1  18   73.09   17.55\r\n  -4   1 -19   11.57    6.86\r\n  -4  -1 -19  -11.43    9.33\r\n   4   2 -21   29.26   13.30\r\n  -4   2  20   23.88   12.99\r\n   4   2 -20   13.25    9.60\r\n   4   2 -19  491.76   50.26\r\n  -4   2  19  295.57   40.42\r\n   4   2 -18   -1.54    8.57\r\n  -4   2  18    5.86    7.56\r\n  -4   2  17   66.66   18.84\r\n   4   2 -17   69.43   18.55\r\n  -4   2  16   36.37   15.57\r\n   4   2 -16    8.97    7.91\r\n  -4   2  15  221.59   31.34\r\n   4   2 -15  244.28   33.05\r\n   4   2 -14   80.42   19.00\r\n  -4   2  14   50.16   15.59\r\n  -4  -2  14   52.46   11.83\r\n  -4   2  13   21.07    4.58\r\n  -4   2  13   33.58   13.44\r\n   4   2 -13   18.82    9.86\r\n  -4  -2  13   25.48    8.95\r\n  -4   2  12   38.77   12.88\r\n   4  -2 -12   35.87   12.23\r\n   4   2 -12   43.39   13.67\r\n  -4   2  12   70.71    9.41\r\n  -4  -2  12   54.50   12.05\r\n  -4   2  11   15.93    4.75\r\n  -4   2  11   10.47    7.88\r\n   4   2 -11    5.26    7.30\r\n  -4  -2  11    9.71    5.79\r\n   4  -2 -10   74.83   16.10\r\n   4   2 -10   78.00   16.98\r\n  -4   2  10   85.96   11.91\r\n  -4  -2  10   56.98   11.29\r\n   4  -2  -9  515.96   39.66\r\n  -4  -2   9  552.14   36.97\r\n  -4   2   9  534.36   31.36\r\n   4   2  -9  506.83   41.60\r\n   4   2  -8   -1.95    6.51\r\n   4  -2  -8    7.91    5.61\r\n  -4  -2   8   15.11    7.65\r\n   4  -2  -7  342.22   30.83\r\n  -4  -2   7  349.16   29.37\r\n  -4   2   7  375.70   30.84\r\n   4   2  -7  332.79   32.72\r\n  -4   2   7  346.60   27.34\r\n  -4   2   6   70.95   13.33\r\n  -4   2   6   37.95    9.89\r\n   4  -2  -6   72.72   14.45\r\n   4   2  -6   55.79   13.26\r\n  -4   2   5   25.77    7.57\r\n   4  -2  -5   32.38    9.70\r\n  -4   2   5   22.48    7.38\r\n   4   2  -5   30.69    9.97\r\n  -4   2   4  177.27   19.59\r\n   4   2  -4  195.10   24.42\r\n  -4   2   4  169.99   20.93\r\n   4  -2  -4  177.42   20.27\r\n  -4   2   3  271.31   23.77\r\n   4   2  -3  293.65   29.79\r\n  -4   2   3  278.34   27.12\r\n   4  -2  -3  286.28   24.81\r\n  -4   2   2  110.62   17.33\r\n   4   2  -2  108.44   18.46\r\n  -4   2   2  117.18   15.01\r\n   4  -2  -2   88.98   13.59\r\n   4   2  -1  190.36   23.65\r\n  -4   2   1  211.32   24.93\r\n  -4   2   1  205.25   17.01\r\n   4  -2  -1  210.62   19.94\r\n   4   2   0  179.04   23.06\r\n  -4   2   0  203.24   16.31\r\n  -4   2   0  183.95   24.03\r\n   4  -2   0  194.46   18.90\r\n   4   2   1  500.53   38.58\r\n  -4   2  -1  530.93   25.12\r\n  -4   2  -1  487.51   38.91\r\n   4  -2   1  518.10   30.12\r\n   4  -2   2    9.19    4.69\r\n  -4   2  -2   11.22    4.46\r\n  -4   2  -2    7.25    4.93\r\n   4   2   2   13.51    7.75\r\n  -4   2  -3  184.38   13.70\r\n   4  -2   3  177.23   17.07\r\n  -4   2  -3  186.61   24.79\r\n   4   2   3  178.22   22.33\r\n   4  -2   4    3.08    2.82\r\n  -4   2  -4    6.44    6.79\r\n   4   2   4    3.92    5.42\r\n  -4   2  -4    5.24    2.76\r\n  -4   2  -5  210.04   14.07\r\n   4  -2   5  195.97   17.35\r\n   4   2   5  186.96   23.70\r\n  -4   2  -5  204.27   27.26\r\n  -4   2  -6  108.87   20.01\r\n  -4   2  -6   76.73    8.68\r\n   4   2   6  117.60   19.02\r\n   4  -2   6  115.71   14.07\r\n  -4   2  -7   39.04   12.74\r\n   4   2   7   45.71   12.06\r\n   4  -2   7   43.03    8.67\r\n  -4   2  -7   30.53    5.60\r\n  -4   2  -8   21.80   12.08\r\n   4   2   8   22.48    9.34\r\n   4  -2   8   13.09    4.71\r\n  -4   2  -8   19.40    4.58\r\n  -4   2  -9 1382.17   38.81\r\n   4  -2   9 1183.56   45.30\r\n   4   2   9 1263.74   64.27\r\n  -4   2  -9 1258.00   72.21\r\n   4  -2  10  239.13   20.71\r\n   4   2  10  191.87   25.47\r\n  -4   2 -10  188.23   28.36\r\n  -4   2 -11   23.66   11.24\r\n   4   2  11   17.18    8.26\r\n  -4   2 -12    2.46    8.59\r\n   4   2  12   -4.08    7.11\r\n  -4   2 -13   18.81   11.24\r\n   4   2  13    7.58    7.74\r\n  -4   2 -14   15.20   10.70\r\n   4   2  14   -2.47    5.82\r\n  -4   2 -15   -5.04    6.62\r\n   4   2  15    2.46    4.78\r\n  -4   2 -16  -12.82   10.09\r\n   4   2  16   -6.93    7.15\r\n  -4   2 -17   44.05   15.65\r\n  -4  -2 -17   22.81   12.62\r\n   4   2  17   24.12   10.94\r\n  -4   2 -18    2.27    6.78\r\n  -4  -2 -18    9.97    8.90\r\n   4   2  18    6.43    6.84\r\n  -4  -2 -19  102.59   22.76\r\n   4   2  19  142.53   26.57\r\n   4   3 -20   25.13   12.27\r\n   4   3 -19    8.10    7.58\r\n  -4   3  19  -16.13   11.18\r\n  -4   3  18    2.31    8.82\r\n   4   3 -18   -0.38    5.10\r\n   4   3 -17    3.85    6.97\r\n  -4   3  17   19.90   12.73\r\n   4   3 -16   14.95    9.20\r\n  -4   3  16   -4.17    6.35\r\n  -4   3  15   57.64   16.86\r\n   4   3 -15   21.48   10.40\r\n  -4   3  14  169.41   27.12\r\n   4   3 -14  168.01   26.75\r\n  -4   3  13  124.44   22.63\r\n   4   3 -13  118.00   22.43\r\n   4   3 -12   44.74   13.93\r\n  -4   3  12   24.13    8.59\r\n  -4   3  12   26.16    5.76\r\n  -4   3  11  194.48   26.21\r\n  -4   3  11  194.12   16.73\r\n   4   3 -11  218.08   28.79\r\n  -4   3  10    4.85    3.45\r\n   4   3 -10    9.09    7.87\r\n  -4   3  10    5.69    6.94\r\n  -4   3   9  241.64   27.38\r\n  -4   3   9  246.15   21.49\r\n   4   3  -9  219.24   28.44\r\n  -4   3   8  235.58   25.81\r\n   4   3  -8  233.90   28.80\r\n  -4   3   8  228.97   21.58\r\n  -4   3   7   55.84   11.93\r\n  -4   3   7   59.10   13.49\r\n  -4   3   7   64.50   12.95\r\n   4   3  -7   35.14   11.25\r\n  -4   3   6   40.17   10.39\r\n  -4   3   6   36.79    9.72\r\n  -4   3   6   22.30    7.11\r\n   4   3  -6   25.16    9.70\r\n   4  -3  -6   29.56    9.13\r\n   4  -3  -5  243.01   24.15\r\n  -4   3   5  216.71   21.81\r\n  -4   3   5  163.00   19.11\r\n   4   3  -5  229.22   27.64\r\n  -4   3   5  230.11   23.69\r\n   4  -3  -4  187.44   20.48\r\n  -4   3   4  176.84   18.87\r\n  -4   3   4  189.72   19.87\r\n   4   3  -4  183.51   25.03\r\n  -4   3   4  185.00   22.16\r\n  -4   3   3   68.20   13.93\r\n  -4   3   3   77.49   12.54\r\n   4   3  -3   54.88   13.07\r\n  -4   3   3   52.73   10.01\r\n   4  -3  -3   50.29   10.05\r\n  -4   3   2    1.47    5.36\r\n  -4   3   2    2.33    3.43\r\n   4  -3  -2   -0.96    3.87\r\n   4   3  -2   -2.68    8.02\r\n  -4   3   2    5.98    4.76\r\n   4  -3  -1 1004.67   41.64\r\n  -4   3   1  896.51   34.69\r\n   4   3  -1  966.10   56.65\r\n  -4   3   1  966.50   54.01\r\n   4  -3   0  214.27   18.41\r\n  -4   3   0  188.40   14.40\r\n   4   3   0  189.61   25.42\r\n  -4   3   0  215.86   14.64\r\n  -4   3   0  215.91   26.70\r\n  -4   3  -1  884.15   27.92\r\n   4   3   1  775.52   50.86\r\n  -4   3  -1  851.07   25.79\r\n  -4   3  -1  800.38   51.36\r\n   4  -3   1  794.32   33.77\r\n  -4   3  -2  373.12   15.17\r\n  -4   3  -2  361.59   14.31\r\n   4   3   2  340.16   33.04\r\n  -4   3  -2  394.36   36.71\r\n   4  -3   2  377.53   21.89\r\n  -4   3  -3  173.17   25.32\r\n   4   3   3  202.48   25.73\r\n   4  -3   3  160.14   13.67\r\n  -4   3  -4  197.33   26.75\r\n   4   3   4  204.49   25.81\r\n   4  -3   4  174.36   13.44\r\n   4   3   5  203.22   26.33\r\n  -4   3  -5  235.55   29.95\r\n   4  -3   5  211.97   13.98\r\n  -4   3  -6   79.54   17.96\r\n   4   3   6   69.08   16.29\r\n   4  -3   6   76.31    8.15\r\n  -4   3  -7   23.00    8.27\r\n   4  -3   7   33.99    5.28\r\n   4   3   7   40.81   12.74\r\n  -4   3  -8   90.44   20.33\r\n   4   3   8   61.83   16.15\r\n   4  -3   8   71.56    7.54\r\n  -4   3  -9   24.38   11.74\r\n   4   3   9   38.78   12.40\r\n  -4   3 -10   12.04    9.52\r\n   4   3  10    6.16    5.77\r\n  -4   3 -11    6.51    7.87\r\n   4   3  11   10.18    9.63\r\n  -4   3 -12   87.32   20.56\r\n   4   3  12   84.56   19.22\r\n   4   3  13  265.77   33.99\r\n  -4   3 -13  322.39   40.76\r\n  -4   3 -14  124.79   26.05\r\n   4   3  14  126.53   24.36\r\n  -4   3 -15   41.61   15.69\r\n   4   3  15   31.81   13.35\r\n  -4   3 -16   57.83   18.87\r\n   4   3  16   64.33   18.29\r\n   4   3  17   40.00   15.20\r\n   4   4 -19    5.66    5.81\r\n   4   4 -18   69.65   19.16\r\n  -4   4  18  103.22   25.38\r\n   4   4 -17   32.34   13.25\r\n  -4   4  17   25.53   12.54\r\n   4   4 -16   68.46   17.90\r\n  -4   4  16   62.76   17.98\r\n  -4   4  15    9.25    7.97\r\n   4   4 -15    3.38    5.21\r\n  -4   4  14    8.80    8.62\r\n   4   4 -14    2.10    4.75\r\n   4   4 -13   10.66    7.46\r\n  -4   4  13   -3.86    9.03\r\n   4   4 -12   -7.25    6.65\r\n  -4   4  12  -15.13    8.69\r\n  -4   4  11  196.05   26.75\r\n  -4   4  11  276.61   20.86\r\n   4   4 -11  252.16   32.54\r\n   4   4 -10  101.01   19.84\r\n  -4   4  10  101.89   18.74\r\n  -4   4  10  153.64   16.85\r\n  -4   4   9  463.67   38.03\r\n  -4   4   9  498.18   31.85\r\n   4   4  -9  498.77   44.02\r\n  -4   4   8  169.60   22.18\r\n   4   4  -8  195.19   27.48\r\n  -4   4   8  243.98   23.46\r\n  -4   4   7   46.72   10.90\r\n  -4   4   7   31.52   10.51\r\n   4   4  -7   30.92   11.21\r\n  -4   4   7   38.60   10.27\r\n  -4   4   6   66.09   13.73\r\n   4   4  -6   45.37   14.05\r\n  -4   4   6   55.23   11.79\r\n  -4   4   6   59.05   11.82\r\n  -4   4   5    5.43    4.54\r\n   4   4  -5    7.86    7.32\r\n  -4   4   5   10.73    6.59\r\n  -4   4   5    9.04    4.85\r\n  -4   4   4   -0.82    5.44\r\n   4   4  -4    4.20    6.08\r\n  -4   4   4    8.74    4.63\r\n  -4   4   4   -1.25    4.64\r\n  -4   4   3    7.52    4.60\r\n   4   4  -3    0.79    6.03\r\n  -4   4   3    2.18    3.18\r\n  -4   4   3    7.01    4.87\r\n  -4   4   2  100.83   17.27\r\n  -4   4   2   94.55   11.74\r\n  -4   4   2   71.61   11.13\r\n   4   4  -2   95.02   19.04\r\n  -4   4   1  190.96   14.01\r\n  -4   4   1  141.51   14.05\r\n   4   4  -1  198.81   26.77\r\n  -4   4   1  193.52   25.17\r\n  -4   4   0  113.03   20.18\r\n   4   4   0  116.24   20.92\r\n  -4   4   0  103.77    8.55\r\n  -4   4   0   70.28    6.64\r\n  -4   4  -1  127.61   21.39\r\n   4   4   1  133.37   22.30\r\n  -4   4  -2   88.84   18.35\r\n   4   4   2  110.39   20.95\r\n  -4   4  -3   57.40   14.59\r\n   4   4   3   50.28   13.77\r\n  -4   4  -4    9.63    6.69\r\n   4   4   4   23.38   10.03\r\n  -4   4  -5   78.06   18.00\r\n   4   4   5   71.53   16.91\r\n  -4   4  -6  178.23   27.78\r\n   4   4   6  195.01   27.71\r\n  -4   4  -7   -3.20    4.74\r\n   4   4   7   -2.64    6.28\r\n  -4   4  -8   64.82   17.57\r\n   4   4   8   55.24   15.69\r\n  -4   4  -9   21.91    8.73\r\n   4   4   9   12.46    8.79\r\n   4   4  10  257.18   34.34\r\n  -4   4 -10  215.66   32.67\r\n  -4   4 -11   19.52    7.58\r\n   4   4  11   -0.57    6.33\r\n  -4   4 -12   66.14   19.37\r\n   4   4  12   81.43   20.33\r\n  -4   4 -13    3.82    6.99\r\n   4   4  13    0.94    7.09\r\n  -4   4 -14   25.34   13.23\r\n   4   4  14   -1.27    6.03\r\n   4   4  15   31.20   13.63\r\n   4   5 -18   25.59   12.22\r\n   4   5 -17   32.67   14.20\r\n  -4   5  17   17.20   10.70\r\n  -4   5  16   -0.44    8.84\r\n   4   5 -16   10.67    8.22\r\n  -4   5  15  -33.01   13.54\r\n   4   5 -15   15.79    9.80\r\n   4   5 -14   75.96   19.19\r\n  -4   5  14   58.44   16.27\r\n   4   5 -13   30.41   12.30\r\n  -4   5  13  -17.48    9.56\r\n   4   5 -12   86.60   19.99\r\n  -4   5  12   83.54   18.25\r\n   4   5 -11   85.96   20.17\r\n  -4   5  11   80.07   16.62\r\n   4   5 -10   19.89   10.00\r\n  -4   5  10   20.48    8.91\r\n  -4   5  10   20.23    6.75\r\n  -4   5   9   -1.51    4.41\r\n  -4   5   9    0.23    2.55\r\n  -4   5   8   77.40   15.88\r\n   4   5  -8   61.86   16.54\r\n  -4   5   8   85.94   14.91\r\n  -4   5   7  142.04   19.36\r\n   4   5  -7  141.19   24.05\r\n  -4   5   7  132.32   19.01\r\n   4   5  -6   47.13   14.44\r\n  -4   5   6   58.37   12.95\r\n  -4   5   6   52.67   12.31\r\n  -4   5   5  -15.74    7.54\r\n   4   5  -5   -1.53    6.64\r\n  -4   5   5    0.58    3.22\r\n  -4   5   4    8.03    5.54\r\n  -4   5   4   -2.19    3.04\r\n  -4   5   3   74.88   15.97\r\n   4   5  -3   53.16   15.34\r\n  -4   5   3   72.11   10.55\r\n  -4   5   2   34.88   12.59\r\n   4   5  -2   53.57   15.16\r\n  -4   5   2   37.99    6.90\r\n  -4   5   1   37.93   12.12\r\n   4   5  -1   37.31   12.78\r\n  -4   5   0   16.67    8.22\r\n   4   5   0   17.12    7.56\r\n  -4   5  -1  152.92   24.65\r\n   4   5   1  114.09   22.52\r\n  -4   5  -2  100.11   21.09\r\n   4   5   2   74.65   19.40\r\n  -4   5  -3    5.61    8.08\r\n   4   5   3   -1.43    4.69\r\n  -4   5  -4  196.49   29.43\r\n   4   5   4  181.80   27.96\r\n  -4   5  -5   95.45   21.05\r\n   4   5   5   59.61   16.04\r\n  -4   5  -6   34.86   12.60\r\n   4   5   6   38.65   13.19\r\n  -4   5  -7  122.84   23.83\r\n   4   5   7  208.25   31.54\r\n  -4   5  -8   39.40   14.31\r\n   4   5   8   14.04    8.05\r\n  -4   5  -9   11.29    8.78\r\n   4   5   9  -12.24    8.92\r\n  -4   5 -10   16.15    9.96\r\n   4   5  10   17.69   10.57\r\n  -4   5 -11    8.90   10.09\r\n   4   5  11   16.42   11.22\r\n   4   5  12  155.21   29.49\r\n  -4   6  16   84.86   22.08\r\n   4   6 -16   97.33   22.47\r\n   4   6 -15   45.59   15.33\r\n  -4   6  15    6.68    8.02\r\n   4   6 -14   44.27   15.38\r\n  -4   6  14   35.10   13.45\r\n   4   6 -13   32.28   13.22\r\n  -4   6  13   29.57   12.78\r\n   4   6 -12    5.98    7.30\r\n  -4   6  12  -16.26    8.73\r\n   4   6 -11   76.40   19.56\r\n  -4   6  11   91.51   18.62\r\n  -4   6  10    5.79    5.52\r\n   4   6 -10    8.69    7.72\r\n  -4   6   9   29.09   10.40\r\n   4   6  -9   29.21   10.99\r\n   4   6  -8    0.59    4.55\r\n  -4   6   8    0.42    3.49\r\n  -4   6   8   11.48    6.90\r\n   4   6  -7   32.46   12.78\r\n  -4   6   7   28.87   10.31\r\n  -4   6   7   13.30    6.81\r\n   4   6  -6    6.39    5.48\r\n  -4   6   6    3.14    4.70\r\n   4   6  -5    0.89    4.12\r\n  -4   6   5    1.91    3.99\r\n   4   6  -4    7.90    7.56\r\n  -4   6   4   10.27    6.68\r\n   4   6  -3   10.12    9.99\r\n  -4   6   3  -30.78   11.04\r\n   4   6  -2   15.70    8.52\r\n  -4   6   2    3.68    5.24\r\n   4   6  -1  149.72   26.11\r\n  -4   6   1  169.20   26.01\r\n   4   6   0  -23.55   11.51\r\n  -4   6   0    7.90    6.47\r\n   4   6   1  154.65   26.60\r\n  -4   6  -1  146.77   25.30\r\n   4   6   2   -4.64    8.92\r\n  -4   6  -2   -0.17    3.82\r\n   4   6   3    7.62    9.94\r\n  -4   6  -3   11.21    8.56\r\n   4   6   4    9.87   10.79\r\n  -4   6  -4   20.82    8.67\r\n  -4   6  -5   -9.31    7.60\r\n   4   6   5   10.04    9.36\r\n  -4   6  -6   25.65   11.64\r\n   4   6   6   21.56   11.29\r\n  -4   6  -7  -22.30   11.65\r\n   4   6   7   -2.90    6.28\r\n   4   6   8   27.25   13.66\r\n  -4   6  -8   25.35   12.66\r\n   4   7 -12   -7.44    8.28\r\n   4   7 -11   71.80   19.40\r\n   4   7 -10    0.43    8.55\r\n   4   7  -9   34.03   13.65\r\n   4   7  -8   25.88   12.13\r\n   4   7  -7   86.58   20.74\r\n   4   7  -6  -19.59   10.91\r\n  -4   7   6  -12.92    7.50\r\n   4   7  -5   27.73   11.98\r\n  -4   7   5   42.89   12.76\r\n   4   7  -4  132.41   25.82\r\n  -4   7   4   91.39   19.33\r\n   4   7  -3  -22.06   11.62\r\n  -4   7   3    3.48    4.66\r\n   4   7  -2   89.15   20.93\r\n  -4   7   2  114.51   22.99\r\n   4   7  -1   68.43   18.91\r\n  -4   7   1   82.78   20.96\r\n   4   7   0    4.15    6.07\r\n  -4   7   0  -14.64    8.68\r\n   4   7   1   16.77   11.29\r\n  -4   7  -1   36.81   13.44\r\n   4   7   2   26.16   13.60\r\n  -4   7  -2   31.57   12.48\r\n  -4   7  -3    9.96    7.37\r\n  -4   7  -4  -14.90    9.81\r\n  -4   8   4    0.93    3.12\r\n  -4   8   3   10.05    7.03\r\n  -4   8   2   21.88   10.60\r\n   5   0 -18  -15.68   10.69\r\n   5   0 -17  174.25   30.55\r\n   5   0 -16    1.31    7.11\r\n   5   0 -15   17.03    8.90\r\n   5   0 -14    2.47    5.34\r\n   5   0 -13  272.59   35.33\r\n   5   0 -12    5.37    6.51\r\n   5   0 -11    9.58    6.58\r\n   5   0 -10    0.81    4.38\r\n   5   0  -9   11.65    8.27\r\n   5   0  -8   -6.08    5.57\r\n   5   0  -7 1231.78   66.19\r\n   5   0  -6    0.81    3.97\r\n   5   0  -5  331.86   33.52\r\n   5   0  -4   -1.53    5.83\r\n   5   0  -3    8.03    6.78\r\n   5   0  -2   10.55    7.33\r\n  -5   0   1   12.38    7.21\r\n   5   0  -1   16.45    9.32\r\n  -5   0   0   -9.38    5.79\r\n   5   0   0   -6.16    6.54\r\n  -5   0  -1  454.74   32.75\r\n   5   0   1  404.12   34.71\r\n  -5   0  -2    0.83    3.09\r\n   5   0   2    5.33    6.96\r\n  -5   0  -3   10.45    5.86\r\n   5   0   3    8.07    7.48\r\n  -5   0  -4   -6.97    4.61\r\n   5   0   4  -15.39    7.86\r\n   5   0   5    0.68    5.24\r\n  -5   0  -5    0.59    3.16\r\n   5   0   6    5.84    5.49\r\n  -5   0  -6   -6.86    4.91\r\n   5   0   7  196.90   25.17\r\n   5   0   8   -0.31    4.35\r\n   5   0   9   -1.13    3.47\r\n  -5   0 -10    3.03    8.42\r\n   5   0  10    5.93    4.77\r\n  -5   0 -11  323.63   41.17\r\n   5   0  11  238.82   26.27\r\n  -5   0 -12   -0.20    6.78\r\n   5   0  12    4.29    4.50\r\n  -5   0 -13   85.84   21.20\r\n  -5   0 -14    4.36    6.12\r\n  -5   0 -15   22.41   14.55\r\n  -5   1  18   23.04   12.55\r\n   5   1 -18   -1.33    6.29\r\n   5   1 -17  121.59   25.96\r\n  -5   1  17   71.23   19.21\r\n   5  -1 -17  105.98   23.93\r\n   5  -1 -16   16.59    8.72\r\n   5   1 -16   35.20   14.10\r\n   5  -1 -15  -14.96    9.54\r\n   5   1 -15   14.40    9.73\r\n   5   1 -14   13.50    6.72\r\n   5  -1 -14    2.50    6.47\r\n   5   1 -13   16.13    9.45\r\n   5  -1 -13    3.75    5.91\r\n   5  -1 -12  130.20   23.95\r\n   5   1 -12  129.84   23.44\r\n   5  -1 -11  573.27   48.22\r\n   5   1 -11  514.65   46.33\r\n   5  -1 -10   27.91   11.04\r\n   5   1 -10   12.54    7.10\r\n   5   1  -9  209.25   28.97\r\n   5  -1  -9  203.17   27.28\r\n   5   1  -8   -1.84    9.19\r\n   5  -1  -8    2.33    4.98\r\n   5   1  -7  110.27   20.67\r\n   5  -1  -7  112.17   19.93\r\n   5   1  -6    7.76    6.65\r\n   5  -1  -6    7.29    6.11\r\n   5  -1  -5    2.31    5.67\r\n   5   1  -5   -4.26    5.77\r\n   5  -1  -4   46.41   12.34\r\n  -5   1   4   34.32    9.86\r\n   5   1  -4   26.64   10.19\r\n   5  -1  -3   -3.67    6.93\r\n  -5   1   3  -10.99    5.81\r\n   5   1  -3    1.77    5.37\r\n   5  -1  -2  104.81   17.56\r\n   5   1  -2  107.19   18.65\r\n  -5   1   2  125.87   16.97\r\n   5   1  -1  536.89   42.53\r\n  -5   1   1  612.20   36.43\r\n   5  -1  -1  607.98   41.21\r\n   5   1   0  115.30   20.39\r\n  -5   1   0  147.64   17.62\r\n   5  -1   0  135.09   19.94\r\n  -5   1  -1  286.49   23.96\r\n   5   1   1  266.74   29.82\r\n   5  -1   1  277.51   27.58\r\n  -5   1  -2   50.30   10.22\r\n   5   1   2   54.91   14.27\r\n   5  -1   2   48.38   11.35\r\n  -5   1  -3  338.00   25.86\r\n   5   1   3  337.73   34.40\r\n   5  -1   3  338.50   30.04\r\n   5   1   4  135.88   22.28\r\n  -5   1  -4  155.80   17.20\r\n   5  -1   4  134.39   19.13\r\n  -5   1  -5   19.82    9.63\r\n   5   1   5   21.86   10.18\r\n   5  -1   5   36.04   11.02\r\n  -5   1  -5   25.21    7.21\r\n   5   1   6  -12.00    7.49\r\n  -5   1  -6   -0.73    9.51\r\n   5  -1   6    1.60    4.29\r\n  -5   1  -7    9.94    6.84\r\n   5  -1   7    6.98    5.20\r\n   5   1   7   17.81    9.09\r\n  -5   1  -8  272.58   36.25\r\n   5   1   8  296.13   30.71\r\n  -5   1  -9   14.49    6.99\r\n   5  -1   9   22.96    8.52\r\n   5   1   9   13.26    6.85\r\n  -5   1 -10   28.35   12.98\r\n   5  -1  10   21.35    8.85\r\n   5   1  10   22.97    8.99\r\n  -5   1 -11   16.56   10.45\r\n   5  -1  11   11.15    6.21\r\n   5   1  11   14.25    7.64\r\n  -5   1 -12   -7.06    8.68\r\n   5   1  12    1.76    4.38\r\n  -5   1 -13   10.20   11.79\r\n   5   1  13   13.31    7.94\r\n  -5   1 -14  108.27   25.39\r\n  -5  -1 -14  119.27   26.52\r\n   5   1  14   75.66   17.00\r\n  -5  -1 -15  116.05   25.60\r\n  -5   2  18   23.19   12.24\r\n   5   2 -18   30.92   13.06\r\n  -5   2  17   84.73   21.87\r\n   5   2 -17   81.73   21.26\r\n   5   2 -16  120.93   25.40\r\n  -5   2  16  102.32   24.04\r\n   5   2 -15   57.08   17.37\r\n  -5   2  15   42.75   14.97\r\n  -5   2  14   52.16   16.66\r\n   5   2 -14   43.43   14.83\r\n  -5   2  13    0.94    5.47\r\n   5  -2 -13   -3.51    7.61\r\n   5   2 -13   11.12    7.91\r\n  -5   2  12   27.54    7.82\r\n  -5   2  12   38.20   13.02\r\n   5  -2 -12   40.07   13.16\r\n   5   2 -12   16.68    9.81\r\n  -5   2  11   94.45   14.94\r\n   5   2 -11  103.98   21.51\r\n   5  -2 -11   84.23   18.63\r\n   5  -2 -10  167.05   25.24\r\n   5   2 -10  146.05   25.09\r\n  -5   2  10  128.45   17.98\r\n   5  -2  -9   -6.22    9.19\r\n  -5   2   9   -7.20    5.09\r\n   5   2  -9    7.48    6.64\r\n   5   2  -8   97.51   19.51\r\n  -5   2   8   97.32   16.83\r\n   5  -2  -8   91.79   18.03\r\n   5  -2  -7  152.59   22.75\r\n  -5   2   7  165.62   22.14\r\n   5   2  -7  147.94   24.11\r\n   5   2  -6  263.46   31.92\r\n  -5   2   6  242.72   27.50\r\n   5  -2  -6  266.34   29.17\r\n   5  -2  -5    1.17    5.01\r\n  -5   2   5   -3.42    6.21\r\n   5   2  -5    7.46    5.30\r\n  -5   2   4   72.81   14.35\r\n   5   2  -4   60.42   15.16\r\n   5  -2  -4   67.20   14.30\r\n  -5   2   3    9.13    8.51\r\n  -5   2   3    4.96    3.96\r\n   5   2  -3    3.78    7.71\r\n   5  -2  -3   16.43    8.40\r\n   5   2  -2  527.84   44.39\r\n  -5   2   2  609.82   34.46\r\n  -5   2   2  525.84   43.63\r\n   5  -2  -2  583.59   38.97\r\n  -5   2   1   36.87   12.57\r\n  -5   2   1   21.59    6.75\r\n   5   2  -1   18.50   10.09\r\n   5  -2  -1   24.03    8.77\r\n  -5   2   0  442.94   27.92\r\n   5   2   0  406.19   38.85\r\n  -5   2   0  395.45   39.18\r\n   5  -2   0  401.98   31.20\r\n  -5   2  -1   -2.29    6.41\r\n  -5   2  -1    6.46    2.70\r\n   5  -2   1    2.53    3.19\r\n   5   2   1   10.14    6.59\r\n  -5   2  -2  204.49   17.78\r\n   5   2   2  244.11   30.60\r\n   5  -2   2  229.11   23.09\r\n  -5   2  -2  221.40   30.95\r\n   5  -2   3   45.68   10.02\r\n  -5   2  -3   71.44   17.92\r\n   5   2   3   69.80   17.10\r\n  -5   2  -4  175.38   27.79\r\n   5   2   4  189.96   27.13\r\n   5  -2   4  138.37   17.44\r\n   5   2   5   47.33   14.56\r\n  -5   2  -5   32.70   12.36\r\n   5  -2   5   12.02    5.89\r\n  -5   2  -6  164.00   27.76\r\n   5   2   6  173.12   24.55\r\n   5  -2   6  141.53   17.45\r\n  -5   2  -7   49.31   16.23\r\n   5   2   7   32.30   10.76\r\n   5  -2   7   34.80    8.96\r\n  -5   2  -8   78.50   19.90\r\n   5   2   8   78.96   16.93\r\n   5  -2   8   81.31   13.59\r\n  -5   2  -9   23.13   12.53\r\n   5   2   9   23.29    9.22\r\n  -5   2 -10   70.48   19.69\r\n   5   2  10   62.62   15.95\r\n  -5   2 -11   49.93   17.36\r\n   5   2  11   30.28   11.18\r\n  -5   2 -12  237.07   36.61\r\n   5   2  12  182.18   27.59\r\n  -5   2 -13   43.73   16.39\r\n   5   2  13    5.46    6.79\r\n   5   2  14   44.79   13.85\r\n   5   2  15   59.80   17.25\r\n   5   2  16   -6.77    8.79\r\n  -5   3  18   -8.51    9.36\r\n   5   3 -17   58.16   18.44\r\n  -5   3  17   10.01    7.46\r\n   5   3 -16    8.84    7.90\r\n  -5   3  16    5.12    6.93\r\n  -5   3  15   14.45    9.62\r\n   5   3 -15  -12.11    8.85\r\n  -5   3  14   65.68   17.80\r\n   5   3 -14   93.02   22.06\r\n  -5   3  13  111.22   22.09\r\n   5   3 -13   75.33   20.54\r\n   5   3 -12   47.30   16.10\r\n  -5   3  12   36.36   12.62\r\n  -5   3  11    4.10    3.62\r\n   5   3 -11   -4.08    6.23\r\n   5   3 -10  142.11   25.47\r\n  -5   3  10  136.55   22.95\r\n  -5   3  10  135.52   18.26\r\n   5   3  -9   15.81    8.61\r\n  -5   3   9   37.89   10.14\r\n   5  -3  -9   19.92    9.92\r\n  -5   3   9   17.11    6.84\r\n  -5   3   8   31.58    9.28\r\n   5  -3  -8   18.76    8.57\r\n  -5   3   8   27.67   10.91\r\n   5   3  -8   31.88   11.88\r\n  -5   3   7    6.19    5.08\r\n   5  -3  -7    6.97    3.99\r\n  -5   3   7   11.11    7.31\r\n   5   3  -7   14.83    8.46\r\n  -5   3   6   10.73    6.56\r\n  -5   3   6   -2.35    5.20\r\n   5   3  -6   -5.29    6.55\r\n   5  -3  -6   -0.62    4.63\r\n  -5   3   5   65.45   14.99\r\n  -5   3   5   58.05   12.56\r\n   5  -3  -5   35.05   11.12\r\n   5   3  -5   64.34   16.57\r\n  -5   3   4    8.15    5.01\r\n  -5   3   4    1.28    2.37\r\n   5  -3  -4    3.21    3.81\r\n  -5   3   4    4.35    4.58\r\n   5   3  -4   10.90    8.59\r\n  -5   3   3   28.03   10.66\r\n  -5   3   3   15.02    6.62\r\n  -5   3   3   21.69    6.44\r\n   5   3  -3   31.90   11.72\r\n   5  -3  -3   28.08    8.77\r\n   5  -3  -2  241.93   24.28\r\n  -5   3   2  228.69   21.12\r\n   5   3  -2  262.88   32.85\r\n  -5   3   2  266.92   32.00\r\n   5   3  -1  193.07   28.70\r\n  -5   3   1  190.03   26.86\r\n   5  -3  -1  165.08   19.47\r\n  -5   3   0   10.24    6.88\r\n   5  -3   0    9.29    5.50\r\n   5   3   0    7.83    7.20\r\n  -5   3  -1    1.38    6.31\r\n   5  -3   1    4.92    5.09\r\n   5   3   1   -7.09    9.15\r\n  -5   3  -2  110.00   22.06\r\n  -5   3  -2  137.17   11.87\r\n   5   3   2  164.04   26.26\r\n   5  -3   2  157.78   17.16\r\n  -5   3  -3    0.42    6.31\r\n   5   3   3   14.62    8.93\r\n   5  -3   3    4.65    4.63\r\n   5   3   4  335.25   37.83\r\n  -5   3  -4  330.52   39.25\r\n   5  -3   4  303.20   22.11\r\n  -5   3  -5   -1.06    6.69\r\n   5   3   5    0.79    6.67\r\n  -5   3  -6   17.56   11.58\r\n   5   3   6    2.23    6.82\r\n  -5   3  -7  392.68   44.58\r\n   5   3   7  465.42   43.54\r\n  -5   3  -8  434.79   47.44\r\n   5   3   8  479.80   45.01\r\n  -5   3  -9   41.74   15.64\r\n   5   3   9   43.56   14.42\r\n  -5   3 -10   16.46    8.79\r\n   5   3  10   37.37   14.01\r\n  -5   3 -11   14.42   10.19\r\n   5   3  11   17.06    9.87\r\n   5   3  12   -2.50    6.00\r\n   5   3  13   -1.36    9.26\r\n   5   3  14  169.49   29.65\r\n  -5   4  17  -31.60   13.81\r\n  -5   4  16    4.77    6.44\r\n  -5   4  15    9.32    7.91\r\n   5   4 -15   23.84   12.06\r\n   5   4 -14   -9.75    8.19\r\n  -5   4  14   -8.77    8.10\r\n   5   4 -13  123.46   25.48\r\n  -5   4  13  106.54   22.57\r\n   5   4 -12   23.74   12.43\r\n  -5   4  12   34.91   11.79\r\n   5   4 -11   55.68   16.79\r\n  -5   4  11   41.20   13.52\r\n  -5   4  10  264.32   31.81\r\n  -5   4  10  304.24   27.51\r\n   5   4 -10  298.25   37.59\r\n  -5   4   9   28.58    8.93\r\n  -5   4   9   32.29   12.35\r\n   5   4  -9   23.25   10.19\r\n  -5   4   8   12.09    6.45\r\n  -5   4   8    9.32    7.44\r\n   5   4  -8    5.04    8.10\r\n  -5   4   7   55.27   13.70\r\n  -5   4   7   50.14   13.61\r\n   5   4  -7   38.72   13.71\r\n  -5   4   6   -3.32    5.28\r\n  -5   4   6    2.54    4.92\r\n   5   4  -6    7.39    4.68\r\n  -5   4   5  118.43   20.24\r\n  -5   4   5  115.84   16.77\r\n   5   4  -5  142.21   25.69\r\n  -5   4   4   42.06   12.00\r\n   5   4  -4   39.05   13.77\r\n  -5   4   4   38.72    9.20\r\n  -5   4   3  -14.38    8.27\r\n   5   4  -3    1.06    9.56\r\n  -5   4   3   -1.35    3.29\r\n  -5   4   2   51.00   14.42\r\n   5   4  -2   38.79   14.11\r\n  -5   4   1   46.28   13.96\r\n   5   4  -1   52.69   15.31\r\n  -5   4   0    9.38    9.16\r\n   5   4   0    7.73    6.43\r\n  -5   4  -1  122.95   23.00\r\n   5   4   1  101.19   21.51\r\n  -5   4  -2   -2.37    5.26\r\n   5   4   2   11.98    9.02\r\n   5   4   3  252.56   34.32\r\n  -5   4  -3  250.92   34.38\r\n  -5   4  -4  126.60   24.59\r\n   5   4   4  138.67   25.93\r\n  -5   4  -5   96.96   22.27\r\n   5   4   5   92.25   21.27\r\n  -5   4  -6   44.66   15.92\r\n   5   4   6   28.66   11.86\r\n  -5   4  -7  -19.47   11.19\r\n   5   4   7    0.67    5.64\r\n  -5   4  -8  -28.86   13.31\r\n   5   4   8   -1.55    6.29\r\n  -5   4  -9   16.82   10.46\r\n   5   4   9   31.35   12.79\r\n   5   4  10   23.47   11.42\r\n   5   4  11   96.97   23.18\r\n  -5   5  16   22.42   12.33\r\n  -5   5  15   -9.13    7.95\r\n  -5   5  14   13.48    9.91\r\n   5   5 -13   17.74    9.98\r\n  -5   5  13    1.85    7.03\r\n   5   5 -12  149.59   28.76\r\n  -5   5  12  169.32   26.96\r\n  -5   5  11  175.87   26.02\r\n   5   5 -11  231.67   34.76\r\n   5   5 -10  -17.73   10.45\r\n  -5   5  10    4.03    5.01\r\n  -5   5   9  -20.09    9.14\r\n   5   5  -9   -2.67    6.49\r\n   5   5  -8   34.72   13.17\r\n  -5   5   8   24.85    8.93\r\n  -5   5   7   13.37    6.58\r\n   5   5  -7   28.44   12.37\r\n  -5   5   6   -1.14    3.77\r\n   5   5  -6    2.29    5.38\r\n  -5   5   5    6.69    6.98\r\n   5   5  -5    7.87    7.52\r\n  -5   5   4   22.70    9.12\r\n   5   5  -4   13.41    9.11\r\n   5   5  -3  207.10   32.30\r\n  -5   5   3  204.66   28.79\r\n  -5   5   2   -4.23    5.84\r\n   5   5  -2  -11.06    9.90\r\n  -5   5   1   57.34   15.97\r\n   5   5  -1   96.36   22.71\r\n  -5   5   0  113.55   23.37\r\n   5   5   0  120.81   24.70\r\n  -5   5  -1   15.26    9.41\r\n   5   5   1    0.73    5.95\r\n  -5   5  -2  -16.04    9.99\r\n   5   5   2   19.31   11.14\r\n  -5   5  -3   12.95    9.00\r\n   5   5   3   17.25   10.62\r\n  -5   5  -4   19.08   10.43\r\n   5   5   4    9.14    7.25\r\n  -5   5  -5  173.61   30.49\r\n   5   5   5  274.65   37.64\r\n  -5   5  -6   21.86   13.39\r\n   5   5   6   12.71    9.27\r\n  -5   5  -7   27.96   13.08\r\n   5   5   7   -0.35    9.90\r\n   5   6  -8   79.32   22.10\r\n   5   6  -7   -1.26    5.50\r\n   5   6  -6  116.99   24.36\r\n  -5   6   6   92.85   18.68\r\n   5   6  -5   16.81   10.47\r\n  -5   6   5    2.48    3.88\r\n   5   6  -4   76.49   20.49\r\n  -5   6   4   28.14   11.02\r\n   5   6  -3    6.63    9.71\r\n  -5   6   3    0.08    3.58\r\n  -5   6   2    0.04    3.70\r\n   5   6  -2    2.22    8.17\r\n  -5   6   1  178.86   29.34\r\n   5   6  -1  207.37   33.89\r\n  -5   6   0   -3.18    5.03\r\n   5   6   0   78.29   21.34\r\n  -5   6  -1  -13.18    8.49\r\n   5   6   1  -14.40   10.24\r\n  -5   6  -2   33.93   13.29\r\n  -5   6  -3    5.56    6.51\r\n  -5   7   4   26.51   10.95\r\n  -5   7   3  -10.51    7.22\r\n  -5   7   2  193.36   30.40\r\n  -5   7   1   49.92   16.24\r\n   6   0 -15  -13.59    9.50\r\n   6   0 -14   23.48   13.50\r\n   6   0 -13    1.50    6.56\r\n   6   0 -12   18.40   10.61\r\n   6   0 -11   11.65    6.90\r\n   6   0 -10  250.68   34.52\r\n   6   0  -9  -12.66    8.40\r\n   6   0  -8    3.58    7.15\r\n   6   0  -7  -14.57    8.96\r\n   6   0  -6  230.86   30.96\r\n   6   0  -5   -2.32    5.22\r\n   6   0  -4    1.47    4.41\r\n   6   0  -3   -0.19    7.50\r\n   6   0  -2    6.14    6.79\r\n   6   0  -1    4.84    8.45\r\n   6   0   0  218.93   28.82\r\n   6   0   1    6.41    6.68\r\n   6   0   2  137.16   23.07\r\n   6   0   3    1.46    5.07\r\n   6   0   4  113.05   20.97\r\n   6   0   5   -1.35    4.82\r\n   6   0   6  172.03   25.76\r\n   6   0   7    2.35    4.64\r\n   6   0   8    3.69    4.86\r\n  -6   0  -9   20.40   12.67\r\n   6   0   9   14.43    8.59\r\n   6   0  10   56.14   15.58\r\n   6  -1 -15   53.51   17.39\r\n   6   1 -14   16.07   11.60\r\n   6  -1 -14    2.06    5.11\r\n   6  -1 -13   -3.16    6.03\r\n   6   1 -13   -0.86    4.44\r\n   6  -1 -12  141.37   26.64\r\n   6   1 -12  126.72   25.74\r\n   6  -1 -11   21.85   12.02\r\n   6   1 -11   27.68   11.62\r\n   6  -1 -10   14.14    9.87\r\n   6   1 -10    2.74    4.06\r\n   6  -1  -9   65.27   16.92\r\n   6   1  -9   67.20   18.31\r\n   6   1  -8   16.33   10.49\r\n   6  -1  -8   34.16   12.47\r\n   6   1  -7  113.44   22.96\r\n   6  -1  -7  109.50   20.90\r\n   6   1  -6   -1.49    7.00\r\n   6  -1  -6   12.00    8.34\r\n   6   1  -5   82.50   19.82\r\n   6  -1  -5   66.43   16.43\r\n   6  -1  -4  159.91   25.25\r\n   6   1  -4  145.27   25.40\r\n   6  -1  -3   42.07   12.75\r\n   6   1  -3   41.88   13.85\r\n   6  -1  -2   13.87    7.54\r\n   6   1  -2    4.43    6.46\r\n   6  -1  -1   96.80   18.70\r\n   6   1  -1  142.88   24.30\r\n   6  -1   0  148.35   22.47\r\n   6   1   0  224.18   30.60\r\n   6   1   1  119.58   22.45\r\n   6  -1   1   76.04   16.47\r\n  -6   1  -2  101.66   23.22\r\n   6   1   2   93.23   20.34\r\n   6  -1   2   56.06   14.07\r\n  -6   1  -3  -15.43    9.74\r\n   6   1   3   -5.20    8.33\r\n   6  -1   3    2.70    5.95\r\n  -6   1  -4   12.12    9.38\r\n   6   1   4   11.26    9.07\r\n   6  -1   4    8.04    5.71\r\n  -6   1  -5    6.99    8.05\r\n   6   1   5   13.32    8.37\r\n   6  -1   5   19.85    8.79\r\n  -6   1  -6  145.44   29.49\r\n   6   1   6  133.61   24.33\r\n   6  -1   6  102.28   18.12\r\n  -6   1  -7    6.00    7.47\r\n   6   1   7    9.68    7.87\r\n   6  -1   7   24.70    9.91\r\n  -6   1  -8  -16.63   11.30\r\n   6   1   8    3.11    5.42\r\n   6   1   9   11.69    6.45\r\n   6   1  10   87.89   20.49\r\n   6   1  11   87.02   20.39\r\n   6   1  12  147.24   27.03\r\n  -6   2  16   22.38   14.17\r\n  -6   2  15   42.62   17.51\r\n  -6   2  14   59.45   16.75\r\n   6  -2 -14   15.46    9.46\r\n  -6   2  13   38.52   14.01\r\n   6  -2 -13   16.84   10.34\r\n   6   2 -13   52.27   16.31\r\n   6  -2 -12   11.51    8.48\r\n   6   2 -12   -6.23    8.17\r\n   6   2 -11  113.50   24.74\r\n   6  -2 -11  105.81   23.33\r\n  -6   2  10   -2.42    3.55\r\n   6  -2 -10   10.25    7.39\r\n   6   2 -10    5.16    8.39\r\n  -6   2   9   -7.64    5.57\r\n   6  -2  -9    6.57    6.80\r\n  -6   2   8    8.56    6.47\r\n   6   2  -8   -5.30    6.37\r\n   6   2  -7  138.09   26.07\r\n  -6   2   7  128.81   22.42\r\n   6  -2  -7  141.26   23.89\r\n  -6   2   6    5.94    5.85\r\n   6  -2  -6   -3.53    4.64\r\n   6  -2  -5   22.20    9.48\r\n   6   2  -5   31.46   11.73\r\n   6   2  -4    3.69    6.18\r\n   6  -2  -4    1.52    4.18\r\n   6   2  -3  384.63   41.52\r\n  -6   2   3  345.19   39.16\r\n   6  -2  -3  279.79   30.60\r\n  -6   2   2  120.70   23.97\r\n   6   2  -2  111.29   22.44\r\n   6  -2  -2  101.00   18.43\r\n  -6   2   1    3.62    7.67\r\n   6   2  -1  -13.96    8.94\r\n   6  -2  -1    3.06    4.96\r\n  -6   2   0   72.12   18.86\r\n   6  -2   0   29.56   10.05\r\n   6   2   0   50.50   15.52\r\n   6  -2   1    6.78    5.06\r\n   6   2   1   -0.96    4.58\r\n  -6   2  -2   -2.14    5.61\r\n   6  -2   2   -7.47    5.16\r\n   6   2   2    6.13    5.17\r\n  -6   2  -3  139.93   27.41\r\n   6  -2   3  130.87   19.73\r\n   6   2   3  135.19   24.67\r\n  -6   2  -4   62.72   18.68\r\n   6   2   4   54.27   16.85\r\n  -6   2  -5   -5.78    7.52\r\n   6   2   5    7.89    7.32\r\n  -6   2  -6    4.44    7.75\r\n   6   2   6  -12.45    8.94\r\n  -6   2  -7  110.48   25.72\r\n   6   2   7   73.90   19.32\r\n   6   2   8   24.91   11.50\r\n   6   2   9    9.34    7.69\r\n   6   2  10   44.20   15.96\r\n   6   2  11   16.89   11.95\r\n  -6   3  15   19.57   11.43\r\n  -6   3  14   22.72   11.75\r\n  -6   3  13   49.89   16.17\r\n  -6   3  12   16.79    9.62\r\n   6   3 -11  174.05   30.84\r\n  -6   3  11  165.63   27.71\r\n   6   3 -10  155.13   29.57\r\n  -6   3  10  150.66   26.23\r\n   6  -3 -10  143.71   25.66\r\n   6  -3  -9   69.72   17.71\r\n  -6   3   9   89.46   18.25\r\n   6   3  -9   66.00   19.74\r\n  -6   3   9   91.20   20.28\r\n   6   3  -8   23.00   12.13\r\n  -6   3   8   22.77    9.10\r\n   6  -3  -8   24.87    8.85\r\n  -6   3   8   33.91   12.90\r\n  -6   3   7   73.37   17.96\r\n  -6   3   7   55.53   14.67\r\n   6   3  -7   70.08   19.55\r\n   6  -3  -7   56.46   14.82\r\n  -6   3   6   -6.92    6.74\r\n  -6   3   6   -2.11    6.01\r\n   6  -3  -6   -1.81    4.85\r\n   6   3  -6    2.99    6.21\r\n  -6   3   5   98.76   20.42\r\n  -6   3   5   83.05   16.55\r\n   6  -3  -5   52.70   14.09\r\n   6   3  -5   84.33   20.58\r\n  -6   3   4   19.28   11.09\r\n   6   3  -4   25.79   11.95\r\n   6  -3  -4   27.36    9.88\r\n   6   3  -3   -4.08    6.05\r\n   6  -3  -3  -17.40    7.79\r\n  -6   3   2   60.10   17.10\r\n   6   3  -2   77.80   20.80\r\n   6  -3  -2   54.03   12.83\r\n  -6   3   1   83.36   20.84\r\n   6   3  -1  100.00   22.39\r\n  -6   3   0  135.44   25.68\r\n   6   3   0   95.98   22.16\r\n  -6   3  -1   64.27   17.26\r\n   6   3   1  113.39   23.72\r\n  -6   3  -2   16.52   10.05\r\n   6   3   2   -2.51    6.98\r\n  -6   3  -3   26.33   12.46\r\n   6   3   3    9.48    9.06\r\n  -6   3  -4   96.69   22.57\r\n   6   3   4   92.31   22.12\r\n  -6   3  -5   -4.77    7.66\r\n   6   3   5   -0.10    6.04\r\n  -6   3  -6   -2.46    5.37\r\n   6   3   6   -1.92    5.82\r\n   6   3   7   29.92   12.73\r\n   6   3   8   21.64   11.48\r\n   6   3  10    6.49    8.83\r\n  -6   4  14   14.35   10.44\r\n  -6   4  13   15.49   10.50\r\n  -6   4  12   40.64   14.17\r\n   6   4  -8   56.75   18.42\r\n  -6   4   7   -9.01    5.93\r\n   6   4  -7   -9.01    9.06\r\n  -6   4   6   24.70   10.21\r\n   6   4  -6   28.68   14.60\r\n  -6   4   5   38.09   13.01\r\n   6   4  -5   42.38   14.80\r\n  -6   4   4   34.59   12.87\r\n   6   4  -4   33.71   13.22\r\n  -6   4   3   13.77    9.00\r\n   6   4  -3    9.89    6.21\r\n  -6   4   2  140.01   25.96\r\n   6   4  -2  156.02   28.60\r\n  -6   4   1   62.23   17.74\r\n   6   4  -1   25.17   12.28\r\n  -6   4   0  -15.60    9.40\r\n   6   4   0   -6.12    7.12\r\n  -6   4  -1    1.93    4.07\r\n   6   4   1   18.61    8.93\r\n  -6   4  -2   73.89   19.84\r\n   6   4   2   74.55   19.94\r\n  -6   4  -3  132.34   26.97\r\n   6   4   3  118.70   25.73\r\n  -6   5   6    9.24    6.28\r\n  -6   5   5   34.85   12.67\r\n  -6   5   4   46.51   14.76\r\n  -6   5   3   -4.26    6.37\r\n  -6   5   2   55.70   16.67\r\n  -6   5   1   31.48   13.12\r\n  -6   5   0  141.72   27.42\r\n  -6   5  -1   87.26   22.91\r\n   7   0  -9  118.70   25.98\r\n   7   0  -8   -0.92    4.09\r\n   7   0  -7  174.71   30.44\r\n   7   0  -6   -2.11    5.49\r\n   7   0  -5    8.73    7.60\r\n   7   0  -4  -14.20    9.58\r\n   7   0  -3   54.29   17.07\r\n   7   0  -2   -6.96    6.92\r\n   7   0  -1   39.95   13.95\r\n   7   0   0   -0.90    7.73\r\n   7   0   1   -0.90    3.97\r\n   7   0   2   -0.04    4.46\r\n   7   0   3   70.07   18.94\r\n   7   0   4   32.07   12.60\r\n   7   0   5  177.67   28.83\r\n   7  -1 -10  -18.12   10.85\r\n  -7   1   9   25.27   10.90\r\n   7  -1  -9   45.65   15.73\r\n   7  -1  -8   50.24   16.30\r\n  -7   1   8   88.19   20.52\r\n   7   1  -8   84.69   22.67\r\n  -7   1   7   -6.14    6.40\r\n   7   1  -7   -6.84    7.78\r\n   7  -1  -7    2.47    5.68\r\n  -7   1   6   18.88   10.64\r\n   7  -1  -6   24.21   11.51\r\n   7   1  -5   65.27   18.56\r\n  -7   1   5   29.75   12.71\r\n   7  -1  -5   68.70   18.86\r\n   7   1  -4   20.94   11.15\r\n  -7   1   4   24.06   11.25\r\n   7   1  -3   33.23   13.78\r\n  -7   1   3   61.10   18.21\r\n   7  -1  -3   39.55   13.39\r\n  -7   1   2   -3.45    5.63\r\n   7  -1  -2    8.54   11.39\r\n   7   1  -2   13.36    7.44\r\n   7  -1  -1   12.72    8.25\r\n   7   1  -1   16.64   10.21\r\n  -7   1   0   40.19   14.61\r\n   7  -1   0   37.12   13.47\r\n   7   1   0   28.72   11.67\r\n   7  -1   1   25.58   11.01\r\n   7   1   1   13.85    9.16\r\n   7   1   2   22.76   10.28\r\n   7   1   3   11.11    8.44\r\n   7   1   4   39.68   14.74\r\n   7   1   5   61.87   19.26\r\n   7   1   6    6.42    7.84\r\n  -7   2  12  -14.84   10.61\r\n   7  -2 -11  -15.92    8.92\r\n   7  -2 -10   26.40   13.27\r\n   7  -2  -9   14.37    9.61\r\n  -7   2   8   30.92   11.79\r\n   7  -2  -8   72.03   18.92\r\n  -7   2   7   -4.30    4.72\r\n   7  -2  -7   25.89   11.95\r\n  -7   2   6   18.10    9.81\r\n   7  -2  -6    8.51    7.92\r\n  -7   2   5    7.01    7.59\r\n   7  -2  -5   22.16   11.95\r\n   7  -2  -4   22.30   11.09\r\n  -7   2   4   10.23    8.15\r\n   7   2  -3    2.07    6.14\r\n   7  -2  -3  -12.12    8.29\r\n  -7   2   2   61.02   17.23\r\n   7   2  -2   73.68   20.74\r\n  -7   2   1    1.94    5.40\r\n   7   2  -1    5.60    8.63\r\n   7   2   0   58.11   18.42\r\n   7   2   1   -5.66    8.36\r\n   7  -3  -9   -5.01    6.51\r\n  -7   3   6   24.09   10.75\r\n  -7   3   5   12.58    8.52\r\n  -7   3   4   68.68   18.97\r\n  -7   3   3   76.82   20.74\r\n  -7   3   2   18.79   11.08\r\n   0   0   0    0.00    0.00\r\n\r\n_computing_structure_solution     'SHELXT 2014/5 (Sheldrick, 2014)'\r\n;\r\n_shelx_hkl_checksum              45405\r\n_olex2_submission_special_instructions 'No special instructions were received'\r\n"
  },
  {
    "path": "pyxtal/database/cifs/__init__.py",
    "content": ""
  },
  {
    "path": "pyxtal/database/cifs/anthracene.cif",
    "content": "\n#######################################################################\n#\n#                 Cambridge Crystallographic Data Centre\n#                                CCDC \n#\n#######################################################################\n#\n# If this CIF has been generated from an entry in the Cambridge \n# Structural Database, then it will include bibliographic, chemical, \n# crystal, experimental, refinement or atomic coordinate data resulting \n# from the CCDC's data processing and validation procedures.\n#\n#######################################################################\n\ndata_ANTCEN24\n_symmetry_cell_setting           monoclinic\n_symmetry_space_group_name_H-M   'P 21/c'\n_symmetry_Int_Tables_number      14\n_space_group_name_Hall           '-P 2ybc'\nloop_\n_symmetry_equiv_pos_site_id\n_symmetry_equiv_pos_as_xyz\n1 x,y,z\n2 -x,1/2+y,1/2-z\n3 -x,-y,-z\n4 x,1/2-y,1/2+z\n_cell_length_a                   9.3056(6)\n_cell_length_b                   5.9879(3)\n_cell_length_c                   8.4252(5)\n_cell_angle_alpha                90\n_cell_angle_beta                 102.620(6)\n_cell_angle_gamma                90\n_cell_volume                     458.119\nloop_\n_atom_site_label\n_atom_site_type_symbol\n_atom_site_fract_x\n_atom_site_fract_y\n_atom_site_fract_z\n_atom_site_U_iso_or_equiv\n_atom_site_thermal_displace_type\nC1 C 0.58950(11) 0.36625(19) 0.62036(13) 0.0215 Uani\nC2 C 0.68314(13) 0.2371(2) 0.74332(13) 0.0256 Uani\nH1 H 0.6486(14) 0.094(3) 0.7692(16) 0.0290 Uiso\nC3 C 0.81698(14) 0.3147(2) 0.82163(15) 0.0304 Uani\nH2 H 0.8792(18) 0.222(3) 0.903(2) 0.0430 Uiso\nC4 C 0.86753(14) 0.5265(2) 0.78125(15) 0.0310 Uani\nH3 H 0.9696(16) 0.579(2) 0.8432(16) 0.0330 Uiso\nC5 C 0.78184(13) 0.6554(2) 0.66477(14) 0.0263 Uani\nH4 H 0.8154(14) 0.807(3) 0.6335(17) 0.0360 Uiso\nC6 C 0.63965(12) 0.5817(2) 0.58077(12) 0.0215 Uani\nC7 C 0.54864(12) 0.71035(19) 0.46170(13) 0.0224 Uani\nH5 H 0.5853(15) 0.856(2) 0.4363(15) 0.0240 Uiso\nloop_\n_atom_site_aniso_label\n_atom_site_aniso_U_11\n_atom_site_aniso_U_22\n_atom_site_aniso_U_33\n_atom_site_aniso_U_23\n_atom_site_aniso_U_13\n_atom_site_aniso_U_12\nC1 0.0233(6) 0.0226(6) 0.0199(6) -0.0010(4) 0.0075(4) 0.0014(4)\nC2 0.0287(6) 0.0245(6) 0.0246(6) 0.0032(5) 0.0079(5) 0.0028(5)\nC3 0.0278(7) 0.0369(7) 0.0253(6) 0.0036(5) 0.0033(5) 0.0062(5)\nC4 0.0243(6) 0.0386(8) 0.0290(6) -0.0036(5) 0.0033(4) -0.0007(5)\nC5 0.0250(6) 0.0271(7) 0.0270(6) -0.0029(5) 0.0062(4) -0.0026(5)\nC6 0.0227(6) 0.0226(6) 0.0203(6) -0.0031(4) 0.0073(4) -0.0003(4)\nC7 0.0260(6) 0.0205(6) 0.0221(6) -0.0009(5) 0.0083(4) -0.0012(5)\n#END\n"
  },
  {
    "path": "pyxtal/database/cifs/aspirin-c.cif",
    "content": "#############################################################\n#             ______       _    _          _                #\n#            (_____ \\     \\ \\  / /        | |               #\n#             _____) )   _ \\ \\/ / |_  ____| |               #\n#            |  ____/ | | | )  (|  _)/ _  | |               #\n#            | |    | |_| |/ /\\ \\ |_( (_| | |___            #\n#            |_|     \\__  /_/  \\_\\___)__|_|_____)           #\n#                   (____/                                  #\n#---------------------(version    0.2.0)--------------------#\n#       A Python package for random crystal generation      #\n#       url: https://github.com/qzhu2017/pyxtal             #\n#       @Zhu's group at University of Nevada Las Vegas      #\n#############################################################\ndata_from_pyxtal\n#Energy: -18.62258295 eV/cell\n\n_symmetry_space_group_name_H-M 'P21/c'\n_symmetry_Int_Tables_number                   14\n_symmetry_cell_setting                monoclinic\n_cell_length_a            6.236361\n_cell_length_b           16.898537\n_cell_length_c           10.389847\n_cell_angle_alpha        90.000000\n_cell_angle_beta         53.698230\n_cell_angle_gamma        90.000000\n\nloop_\n _symmetry_equiv_pos_site_id\n _symmetry_equiv_pos_as_xyz\n1 'x, y, z'\n2 '-x, y+1/2, -z+1/2'\n3 '-x, -y, -z'\n4 'x, -y+1/2, z+1/2'\n\nloop_\n _atom_site_label\n _atom_site_type_symbol\n _atom_site_symmetry_multiplicity\n _atom_site_fract_x\n _atom_site_fract_y\n _atom_site_fract_z\n _atom_site_occupancy\nC      C        4     0.637000    0.654000    0.485000 1\nC      C        4     0.615000    0.743000    0.484000 1\nO      O        4     0.787000    0.786000    0.377000 1\nO      O        4     0.391000    0.770000    0.623000 1\nC      C        4     0.324000    0.848000    0.655000 1\nC      C        4     0.331000    0.883000    0.776000 1\nC      C        4     0.270000    0.963000    0.815000 1\nC      C        4     0.199000    1.009000    0.734000 1\nC      C        4     0.192000    0.975000    0.613000 1\nC      C        4     0.251000    0.894000    0.574000 1\nC      C        4     0.236000    0.861000    0.445000 1\nO      O        4     0.256000    0.901000    0.341000 1\nO      O        4     0.133000    0.789000    0.469000 1\nH      H        4     0.723000    0.638000    0.547000 1\nH      H        4     0.439000    0.627000    0.546000 1\nH      H        4     0.762000    0.632000    0.362000 1\nH      H        4     0.388000    0.846000    0.837000 1\nH      H        4     0.281000    0.989000    0.906000 1\nH      H        4     0.155000    1.072000    0.761000 1\nH      H        4     0.143000    1.012000    0.548000 1\nH      H        4     0.097000    0.790000    0.389000 1\n#END\n\n"
  },
  {
    "path": "pyxtal/database/cifs/aspirin.cif",
    "content": "####################################################################### \n# \n# This file contains crystal structure data downloaded from the \n# Cambridge Structural Database (CSD) hosted by the Cambridge \n# Crystallographic Data Centre (CCDC).\n# \n# Full information about CCDC data access policies and citation \n# guidelines are available at http://www.ccdc.cam.ac.uk/access/V1 \n# \n# Audit and citation data items may have been added by the CCDC. \n# Please retain this information to preserve the provenance of \n# this file and to allow appropriate attribution of the data. \n# \n#######################################################################\n\ndata_asp100\n_audit_block_doi                 10.5517/cc66zzb\n_database_code_depnum_ccdc_archive 'CCDC 185472'\nloop_\n_citation_id\n_citation_doi\n_citation_year\n1 10.1039/b203379h 2003\n_audit_update_record             \n;\n2002-05-09 deposited with the CCDC. 2020-02-22 downloaded from the CCDC.\n;\n\n_audit_creation_method           SHELXL-97\n_chemical_name_systematic        \n;\n2-(acetoyloxy)benzoic acid\n;\n_chemical_name_common            Aspirin\n_chemical_formula_sum            'C9 H8 O4'\n_chemical_formula_weight         180.16\n\nloop_\n_atom_type_symbol\n_atom_type_description\n_atom_type_scat_length_neutron\n_atom_type_scat_source\nC C 6.646 'International Tables Vol C Table 4.4.4.1'\nH H -3.739 'International Tables Vol C Table 4.4.4.1'\nO O 5.803 'International Tables Vol C Table 4.4.4.1'\n\n_symmetry_cell_setting           Monoclinic\n_symmetry_space_group_name_H-M   P21/c\n\nloop_\n_symmetry_equiv_pos_as_xyz\n'x, y, z'\n'-x, y+1/2, -z+1/2'\n'-x, -y, -z'\n'x, -y-1/2, z-1/2'\n\n_cell_length_a                   11.233(3)\n_cell_length_b                   6.5440(10)\n_cell_length_c                   11.231(3)\n_cell_angle_alpha                90.00\n_cell_angle_beta                 95.89(2)\n_cell_angle_gamma                90.00\n_cell_volume                     821.2(3)\n_cell_formula_units_Z            4\n\n_cell_measurement_temperature    100(1)\n_cell_measurement_reflns_used    25\n_cell_measurement_theta_min      ?\n\n_exptl_crystal_description       'irregular prism'\n_exptl_crystal_colour            colourless\n_exptl_crystal_size_max          8\n_exptl_crystal_size_mid          4\n_exptl_crystal_size_min          1.5\n_exptl_crystal_density_meas      ?\n_exptl_crystal_density_diffrn    1.456\n_exptl_crystal_density_method    'not measured'\n_exptl_crystal_F_000             21\n_exptl_absorpt_coefficient_mu    '1.0550, at 1 Angstrom'\n_exptl_absorpt_correction_type   empirical\n_exptl_absorpt_correction_T_min  0.45\n_exptl_absorpt_correction_T_max  0.75\n_exptl_absorpt_process_details   \n;\nThe linear absorption coefficient is wavelength dependent\nand it is calculated as:\nmu = 0.80 + 0.75 * lambda [cm^-1]\n;\n\n_exptl_special_details           \n;\nFor peak integration a local UB matrix refined for each frame,\nusing approximately 25 reflections.\nHence _cell_measurement_reflns_used 25\n\nFor final cell dimensions an average of all local\ncells was performed and estimated standard uncertainties\nwere obtained from the spread of the local observations\n\nBecause of the nature of the experiment, it is not possible to give values of\ntheta_min and theta_max for the cell determination.\n\nInstead, we can give values of\n\n#_cell_measurement_sin(theta)/lambda_min 0.20\n#_cell_measurement_sin(theta)/lambda_max 0.75\n\nThe same applies for the wavelength used for the experiment.\nThe range of wavelengths used was 0.5-5.0 Angstroms,\nBUT the bulk of the diffraction information is obtained from\nwavelengths in the range 0.7-2.5 Angstroms.\n\nThe data collection procedures on the SXD instrument used\nfor the single crystal neutron data collection are most\nrecently summarised in the Appendix to the following paper\nWilson, C.C. (1997). J. Mol. Struct. 405, 207-217.\n;\n\n_diffrn_ambient_temperature      100(2)\n_diffrn_radiation_wavelength     0.5-5.0\n_diffrn_radiation_type           neutron\n_diffrn_radiation_source         'ISIS spallation source'\n_diffrn_measurement_device       SXD\n_diffrn_measurement_method       'time-of-flight LAUE diffraction'\n_diffrn_reflns_number            3971\n_diffrn_reflns_av_R_equivalents  0.068\n_diffrn_reflns_av_sigmaI/netI    0.0414\n_diffrn_reflns_limit_h_min       0\n_diffrn_reflns_limit_h_max       24\n_diffrn_reflns_limit_k_min       0\n_diffrn_reflns_limit_k_max       14\n_diffrn_reflns_limit_l_min       -16\n_diffrn_reflns_limit_l_max       18\n_diffrn_reflns_theta_min         ?\n_diffrn_reflns_theta_max         ?\n_reflns_number_total             1151\n_reflns_number_gt                1151\n_reflns_threshold_expression     >2sigma(I)\n\n_computing_data_collection       ?\n_computing_cell_refinement       ?\n_computing_data_reduction        ?\n_computing_structure_solution    ?\n_computing_structure_refinement  'SHELXL-97 (Sheldrick, 1997)'\n_computing_molecular_graphics    'ORTEP (Johnson, 1994)'\n_computing_publication_material  ?\n\n_refine_special_details          \n;\nThese data are by no means complete.\nThey were collected in a very restricted geometry due\nto the microwave apparatus also installed at the time.\nThe data/parameter ratio is also rather small, however\nthe refinements are stable and supportive of the\nobservations presented in the paper.\n\nThe microwave source was switched OFF for these data.\n\nThe variable wavelength nature of the data collection\nprocedure means that sensible values of\n#_diffrn_reflns_theta_min & _diffrn_reflns_theta_max\ncannot be given\n\nIt is also difficult to estimate realistic values of\nmaximum sin(theta)/lambda values for two reasons:\n(i) Different sin(theta)/lambda ranges are accessed\nin different parts of the detectors\n(ii) The nature of the data collection occasionally\nallows some reflections at very high sin(theta)/lambda\nto be observed even when no real attempt has been\nmade to measure data in this region.\n\nHowever, we can attempt to estimate the sin(theta)/lambda limits as follows:\n\n#_diffrn_reflns_sin(theta)/lambda_min 0.05\n#_diffrn_reflns_sin(theta)/lambda_max 0.75\n\nNote also that reflections for which the standard profile fitting integration\nprocedure fails are excluded from the data set, thus resulting in a high\nelimination rate of weak or \"unobserved\" peaks from the final data set.\n\nThe extinction coefficient reported in _refine_ls_extinction_coef is in this\ncase the refined value of the mosaic spread in units of 10^-4 rad^-1\nThe reference for the extinction method used is:\nBecker, P. & Coppens, P. (1974). Acta Cryst. A30, 129-148.\n\nRefinement of F^2^ against ALL reflections. The weighted R-factor wR and\ngoodness of fit S are based on F^2^, conventional R-factors R are based\non F, with F set to zero for negative F^2^. The threshold expression of\nF^2^ > 2sigma(F^2^) is used only for calculating R-factors(gt) etc. and is\nnot relevant to the choice of reflections for refinement. R-factors based\non F^2^ are statistically about twice as large as those based on F, and R-\nfactors based on ALL data will be even larger.\n;\n\n_refine_ls_structure_factor_coef Fsqd\n_refine_ls_matrix_type           full\n_refine_ls_weighting_scheme      calc\n_refine_ls_weighting_details     \n'calc w=1/[\\s^2^(Fo^2^)+(0.0763P)^2^+0.3996P] where P=(Fo^2^+2Fc^2^)/3'\n_refine_ls_hydrogen_treatment    refall\n_refine_ls_extinction_method     'Becker-Coppens Lorentzian model'\n_refine_ls_extinction_coef       0.06\n_refine_ls_number_reflns         1151\n_refine_ls_number_parameters     190\n_refine_ls_number_restraints     0\n_refine_ls_R_factor_all          0.0958\n_refine_ls_R_factor_gt           0.0958\n_refine_ls_wR_factor_ref         0.2369\n_refine_ls_wR_factor_gt          0.2369\n_refine_ls_goodness_of_fit_ref   1.468\n_refine_ls_restrained_S_all      1.468\n_refine_ls_shift/su_max          0.001\n_refine_ls_shift/su_mean         0.000\n\nloop_\n_atom_site_label\n_atom_site_type_symbol\n_atom_site_fract_x\n_atom_site_fract_y\n_atom_site_fract_z\n_atom_site_U_iso_or_equiv\n_atom_site_adp_type\n_atom_site_occupancy\n_atom_site_symmetry_multiplicity\n_atom_site_calc_flag\n_atom_site_refinement_flags\n_atom_site_disorder_assembly\n_atom_site_disorder_group\nC1 C 0.1537(4) 0.5603(6) 0.0665(6) 0.0115(9) Uani 1 1 d . . .\nC2 C 0.2473(4) 0.4838(6) 0.0088(5) 0.0118(10) Uani 1 1 d . . .\nC3 C 0.2998(4) 0.2977(7) 0.0414(7) 0.0174(12) Uani 1 1 d . . .\nC4 C 0.2609(4) 0.1876(7) 0.1352(7) 0.0199(12) Uani 1 1 d . . .\nC5 C 0.1686(4) 0.2620(7) 0.1942(7) 0.0174(12) Uani 1 1 d . . .\nC6 C 0.1158(4) 0.4463(7) 0.1614(6) 0.0158(11) Uani 1 1 d . . .\nC7 C 0.0903(4) 0.7562(7) 0.0372(5) 0.0113(9) Uani 1 1 d . . .\nC8 C 0.3674(4) 0.7373(7) -0.0623(6) 0.0137(10) Uani 1 1 d . . .\nC9 C 0.3993(5) 0.8399(9) -0.1740(7) 0.0214(12) Uani 1 1 d . . .\nO1 O 0.1235(5) 0.8590(10) -0.0527(9) 0.0201(15) Uani 1 1 d . . .\nO2 O 0.0098(6) 0.8130(9) 0.0966(8) 0.0205(13) Uani 1 1 d . . .\nO3 O 0.2886(5) 0.5827(8) -0.0890(7) 0.0136(11) Uani 1 1 d . . .\nO4 O 0.4029(6) 0.7815(11) 0.0367(8) 0.0248(16) Uani 1 1 d . . .\nH1 H 0.3698(11) 0.2377(19) -0.0095(17) 0.035(3) Uani 1 1 d . . .\nH2 H 0.3016(12) 0.0396(16) 0.1593(16) 0.033(3) Uani 1 1 d . . .\nH3 H 0.1406(11) 0.174(2) 0.2688(19) 0.040(4) Uani 1 1 d . . .\nH4 H 0.0433(10) 0.507(2) 0.2083(16) 0.031(3) Uani 1 1 d . . .\nH5 H 0.4618(18) 0.960(3) -0.145(3) 0.059(6) Uani 1 1 d . . .\nH6 H 0.3200(16) 0.897(5) -0.224(3) 0.088(12) Uani 1 1 d . . .\nH7 H 0.434(3) 0.735(4) -0.240(3) 0.072(7) Uani 1 1 d . . .\nH8 H 0.0713(10) 0.9855(18) -0.0642(15) 0.030(3) Uani 1 1 d . . .\n\nloop_\n_atom_site_aniso_label\n_atom_site_aniso_U_11\n_atom_site_aniso_U_22\n_atom_site_aniso_U_33\n_atom_site_aniso_U_23\n_atom_site_aniso_U_13\n_atom_site_aniso_U_12\nC1 0.0116(13) 0.0103(15) 0.013(3) 0.0003(14) 0.0039(19) 0.0000(11)\nC2 0.0125(14) 0.0133(17) 0.010(3) -0.0038(14) 0.0035(19) 0.0000(11)\nC3 0.0186(17) 0.0144(19) 0.020(4) -0.0003(18) 0.007(2) 0.0048(13)\nC4 0.0183(18) 0.0138(19) 0.028(4) 0.0034(19) 0.006(2) 0.0039(13)\nC5 0.0132(15) 0.0177(19) 0.022(4) 0.0047(19) 0.006(2) 0.0016(13)\nC6 0.0143(15) 0.0155(18) 0.018(3) 0.0037(17) 0.005(2) 0.0013(13)\nC7 0.0127(14) 0.0126(18) 0.009(3) 0.0005(15) 0.0044(17) 0.0025(11)\nC8 0.0103(13) 0.0199(19) 0.012(3) -0.0024(17) 0.0050(18) -0.0027(12)\nC9 0.023(2) 0.029(3) 0.013(4) 0.003(2) 0.006(3) -0.0061(17)\nO1 0.0166(19) 0.022(2) 0.023(5) 0.008(2) 0.006(3) 0.0058(16)\nO2 0.025(2) 0.018(2) 0.021(4) 0.006(2) 0.012(3) 0.0093(17)\nO3 0.0163(18) 0.014(2) 0.011(3) -0.0052(18) 0.002(2) -0.0008(14)\nO4 0.027(3) 0.032(3) 0.015(5) -0.007(3) 0.006(3) -0.013(2)\nH1 0.033(5) 0.031(6) 0.040(10) 0.001(5) 0.005(6) 0.010(4)\nH2 0.047(6) 0.018(4) 0.036(10) 0.009(4) 0.010(7) 0.011(4)\nH3 0.028(5) 0.041(6) 0.052(12) 0.030(7) 0.009(7) 0.007(4)\nH4 0.027(4) 0.039(6) 0.028(9) 0.006(5) 0.009(6) 0.004(4)\nH5 0.062(9) 0.054(10) 0.063(19) -0.002(9) 0.017(12) -0.026(7)\nH6 0.040(8) 0.115(18) 0.10(3) 0.081(19) -0.030(12) -0.016(9)\nH7 0.13(2) 0.072(14) 0.024(15) -0.007(9) 0.045(15) -0.004(12)\nH8 0.031(4) 0.030(5) 0.031(9) 0.009(5) 0.009(6) 0.009(4)\n\n_geom_special_details            \n;\nAll esds (except the esd in the dihedral angle between two l.s. planes)\nare estimated using the full covariance matrix. The cell esds are taken\ninto account individually in the estimation of esds in distances, angles\nand torsion angles; correlations between esds in cell parameters are only\nused when they are defined by crystal symmetry. An approximate (isotropic)\ntreatment of cell esds is used for estimating esds involving l.s. planes.\n;\n\nloop_\n_geom_bond_atom_site_label_1\n_geom_bond_atom_site_label_2\n_geom_bond_distance\n_geom_bond_site_symmetry_2\n_geom_bond_publ_flag\nC1 C2 1.385(7) . ?\nC1 C6 1.402(9) . ?\nC1 C7 1.487(6) . ?\nC2 C3 1.386(6) . ?\nC2 O3 1.394(10) . ?\nC3 C4 1.384(10) . ?\nC3 H1 1.091(16) . ?\nC4 C5 1.376(9) . ?\nC4 H2 1.093(11) . ?\nC5 C6 1.377(7) . ?\nC5 H3 1.091(17) . ?\nC6 H4 1.089(16) . ?\nC7 O2 1.235(9) . ?\nC7 O1 1.299(10) . ?\nC8 O4 1.177(11) . ?\nC8 O3 1.358(7) . ?\nC8 C9 1.499(10) . ?\nC9 H5 1.083(18) . ?\nC9 H6 1.069(17) . ?\nC9 H7 1.11(3) . ?\nO1 H8 1.016(12) . ?\n\nloop_\n_geom_angle_atom_site_label_1\n_geom_angle_atom_site_label_2\n_geom_angle_atom_site_label_3\n_geom_angle\n_geom_angle_site_symmetry_1\n_geom_angle_site_symmetry_3\n_geom_angle_publ_flag\nC2 C1 C6 117.9(4) . . ?\nC2 C1 C7 125.3(5) . . ?\nC6 C1 C7 116.8(4) . . ?\nC1 C2 C3 121.1(5) . . ?\nC1 C2 O3 122.1(5) . . ?\nC3 C2 O3 116.7(5) . . ?\nC4 C3 C2 120.0(5) . . ?\nC4 C3 H1 120.8(9) . . ?\nC2 C3 H1 119.2(10) . . ?\nC5 C4 C3 119.7(5) . . ?\nC5 C4 H2 120.7(11) . . ?\nC3 C4 H2 119.6(10) . . ?\nC4 C5 C6 120.4(6) . . ?\nC4 C5 H3 118.2(9) . . ?\nC6 C5 H3 121.3(9) . . ?\nC5 C6 C1 120.9(5) . . ?\nC5 C6 H4 120.8(9) . . ?\nC1 C6 H4 118.3(8) . . ?\nO2 C7 O1 123.3(5) . . ?\nO2 C7 C1 120.0(5) . . ?\nO1 C7 C1 116.7(5) . . ?\nO4 C8 O3 122.8(7) . . ?\nO4 C8 C9 126.4(6) . . ?\nO3 C8 C9 110.8(6) . . ?\nC8 C9 H5 105.8(16) . . ?\nC8 C9 H6 109.5(15) . . ?\nH5 C9 H6 113(2) . . ?\nC8 C9 H7 114.4(15) . . ?\nH5 C9 H7 113(2) . . ?\nH6 C9 H7 101(3) . . ?\nC7 O1 H8 108.2(11) . . ?\nC8 O3 C2 115.7(6) . . ?\n\n_refine_diff_density_max         0.174\n_refine_diff_density_min         -0.169\n_refine_diff_density_rms         0.041\n"
  },
  {
    "path": "pyxtal/database/cifs/benzene.cif",
    "content": "\n#######################################################################\n#\n#                 Cambridge Crystallographic Data Centre\n#                                CCDC \n#\n#######################################################################\n#\n# If this CIF has been generated from an entry in the Cambridge \n# Structural Database, then it will include bibliographic, chemical, \n# crystal, experimental, refinement or atomic coordinate data resulting \n# from the CCDC's data processing and validation procedures.\n#\n#######################################################################\n\ndata_BENZEN\n_symmetry_cell_setting           orthorhombic\n_symmetry_space_group_name_H-M   'P b c a'\n_symmetry_Int_Tables_number      61\n_space_group_name_Hall           '-P 2ac 2ab'\nloop_\n_symmetry_equiv_pos_site_id\n_symmetry_equiv_pos_as_xyz\n1 x,y,z\n2 1/2-x,-y,1/2+z\n3 1/2+x,1/2-y,-z\n4 -x,1/2+y,1/2-z\n5 -x,-y,-z\n6 1/2+x,y,1/2-z\n7 1/2-x,1/2+y,z\n8 x,1/2-y,1/2+z\n_cell_length_a                   7.440\n_cell_length_b                   9.550\n_cell_length_c                   6.920\n_cell_angle_alpha                90\n_cell_angle_beta                 90\n_cell_angle_gamma                90\n_cell_volume                     491.68\nloop_\n_atom_site_label\n_atom_site_type_symbol\n_atom_site_fract_x\n_atom_site_fract_y\n_atom_site_fract_z\nC1 C -0.05690 0.13870 -0.00540\nC2 C -0.13350 0.04600 0.12640\nC3 C 0.07740 0.09250 -0.12950\nH1 H -0.09760 0.24470 -0.01770\nH2 H -0.24090 0.07940 0.22180\nH3 H 0.13710 0.16310 -0.23120\n\n#END\n"
  },
  {
    "path": "pyxtal/database/cifs/bug.vasp",
    "content": " C \n 1.0000000000000000\n     2.5647769999999999    0.0000000000000002    0.0000000000000002\n     0.0000000000000000    4.1088129999999996    0.0000000000000003\n     0.0000000000000000    0.0000000000000000    9.6028400000000005\n C  \n   8\nDirect\n  0.0000000000000000  0.0000000000000000  0.2725510000000000\n  0.5000000000000000  0.5000000000000000  0.7150860000000000\n  0.0000000000000000  0.0000000000000000  0.7150860000000000\n  0.5000000000000000  0.5000000000000000  0.2849140000000000\n  0.5000000000000000  0.0000000000000000  0.7849139999999998\n  0.0000000000000000  0.5000000000000000  0.2150860000000000\n  0.5000000000000000  0.0000000000000000  0.2027230000000000\n  0.0000000000000000  0.5000000000000000  0.7849139999999998\n"
  },
  {
    "path": "pyxtal/database/cifs/c_bug.vasp",
    "content": "C \n 1.0000000000000000\n     4.1896699999999996    0.0000000000000003    0.0000000000000003\n     0.0000000000000000    5.9243990000000002    0.0000000000000004\n     0.0000000000000000    0.0000000000000000    5.9243949999999996\n C  \n  16\nCartesian\n  3.1422524999999997  0.7405202530050002  1.4810987500000001\n -3.1422524999999997 -0.7405202530050002  1.4810987499999997\n -3.1422524999999997  0.7405202530049999 -1.4810987500000001\n  3.1422524999999997 -0.7405202530049999 -1.4810987499999997\n  5.2370874999999995  3.7027197530050002  1.4810987500000004\n -1.0474174999999999  2.2216792469950004  1.4810987499999999\n -1.0474174999999999  3.7027197530049998 -1.4810987499999997\n  5.2370874999999995  2.2216792469950004 -1.4810987499999995\n  0.0000000000000000  0.0000000000000000  5.1838160030249991\n  0.0000000000000000  0.0000000000000000 -5.1838160030249991\n  2.0948349999999998  2.9621995000000001  5.1838160030250009\n  2.0948349999999998  2.9621995000000001 -5.1838160030249991\n  0.0000000000000000  2.9621995000000001  3.7027824213699998\n  0.0000000000000000  2.9621995000000001 -3.7027824213699994\n  2.0948349999999998  5.9243990000000002  3.7027824213699998\n  2.0948349999999998  5.9243990000000002 -3.7027824213699989\n"
  },
  {
    "path": "pyxtal/database/cifs/c_bug2.vasp",
    "content": " C \n 1.0000000000000000\n     8.5033854756483755    0.0000000000000000    0.0000000000000000\n     0.0000000000000000    8.6029826114743475    0.0000000000000000\n    -4.1863778586472247    0.0000000000000000    4.2881075098659860\n C  \n  28\nCartesian\n  0.0854925514737253  8.5942204736845600  4.2827473754786523\n -3.1297313316973261  7.5833872228015471  3.2125215031663004\n  0.0555787782448595  6.4599538340082523  2.1613905735953804\n  2.1786814807973376  0.0087621377897869  2.1386936205456597\n  3.2151503354504740  5.3210866944099742  1.0684677482333074\n  6.4004604453926603  6.4445200832032690  0.0173368186623873\n  2.2202396384378775  4.4154076999870098  4.2873399386217201\n  0.1114587507761341  6.4354482380394664  4.2066163147484925\n  2.0854444328988992  6.4305015230378695  2.2167414653327300\n  4.2360849769630384  0.1048832625077887  2.1462878589456320\n  4.3134285677614903  4.1875749114873377  2.1432861836887263\n  6.4563404179239345  6.4690256791720548  2.0625625598154986\n  8.4303261000466989  6.4739723941736518  0.0726877103997371\n  6.3292739062866508  8.4980993489665586  0.0022341040126392\n -4.1662001863504621  4.2927291679473871  4.2827473754786523\n  1.1219614061268617  3.2818959170643729  3.2125215031663004\n  4.3072715160690480  2.1584625282710785  2.1613905735953804\n -2.0730112570268497  4.3102534435269604  2.1386936205456597\n -1.0365424023737129  1.0195953886728006  1.0684677482333074\n  2.1487677075684717  2.1430287774660952  0.0173368186623873\n -2.0314530993863102  0.1139163942498368  4.2873399386217201\n  4.3631514886003222  2.1339569323022940  4.2066163147484925\n  6.3371371707230857  2.1290102173006962  2.2167414653327300\n -0.0156077608611481  4.4063745682449627  2.1462878589456320\n  0.0617358299373028  8.4890662172245115  2.1432861836887263\n  2.2046476800997468  2.1675343734348798  2.0625625598154986\n  4.1786333622225103  2.1724810884364776  0.0726877103997371\n  2.0775811684624643  4.1966080432293849  0.0022341040126392\n"
  },
  {
    "path": "pyxtal/database/cifs/coumarin.cif",
    "content": "####################################################################### \r\n# \r\n# This file contains crystal structure data downloaded from the \r\n# Cambridge Structural Database (CSD) hosted by the Cambridge \r\n# Crystallographic Data Centre (CCDC).\r\n# \r\n# Full information about CCDC data access policies and citation \r\n# guidelines are available at http://www.ccdc.cam.ac.uk/access/V1 \r\n# \r\n# Audit and citation data items may have been added by the CCDC. \r\n# Please retain this information to preserve the provenance of \r\n# this file and to allow appropriate attribution of the data. \r\n# \r\n#######################################################################\r\n\r\ndata_COUMARIN\r\n_audit_block_doi                 10.5517/cc8xw89\r\n_database_code_depnum_ccdc_archive 'CCDC 266081'\r\nloop_\r\n_citation_id\r\n_citation_doi\r\n_citation_year\r\n1 10.1021/jp046388s 2005\r\n_audit_update_record             \r\n;\r\n2005-03-11 deposited with the CCDC.\t2021-05-12 downloaded from the CCDC.\r\n;\r\n_chemical_name_systematic        \r\n;\r\n2H-chromene-2-one\r\n;\r\n_chemical_formula_moiety         'C9 H6 O2'\r\n_exptl_crystal_description       block\r\n_exptl_crystal_colour            colorless\r\n_exptl_crystal_size_max          0.60\r\n_exptl_crystal_size_mid          0.17\r\n_exptl_crystal_size_min          0.09\r\n_chemical_formula_sum            'C9 H6 O2'\r\n_chemical_name_common            coumarin\r\n_chemical_formula_weight         146.14\r\n_symmetry_cell_setting           Orthorhombic\r\n_symmetry_space_group_name_H-M   'P c 21 b'\r\n_symmetry_space_group_name_Hall  'P -2bc -2c'\r\n\r\n_cell_length_a                   5.6091(13)\r\n_cell_length_b                   7.7343(19)\r\n_cell_length_c                   15.478(4)\r\n_cell_angle_alpha                90.000\r\n_cell_angle_beta                 90.000\r\n_cell_angle_gamma                90.000\r\n_cell_volume                     671.5(3)\r\n_cell_formula_units_Z            4\r\n_exptl_crystal_density_diffrn    1.446\r\nloop_\r\n_symmetry_equiv_pos_site_id\r\n_symmetry_equiv_pos_as_xyz\r\n1 +X,+Y,+Z\r\n2 +X,1/2+Y,1/2-Z\r\n3 -X,+Y,1/2+Z\r\n4 -X,1/2+Y,-Z\r\n_cell_measurement_reflns_used    8441\r\n_cell_measurement_theta_min      2.63\r\n_cell_measurement_theta_max      49.43\r\n_cell_measurement_temperature    90.0(2)\r\n_diffrn_radiation_type           MoK\\a\r\n_diffrn_radiation_wavelength     0.71073\r\n_exptl_absorpt_coefficient_mu    0.103\r\n_exptl_crystal_F_000             304\r\n_exptl_absorpt_correction_type   multi-scan\r\n_exptl_absorpt_correction_T_min  0.8510\r\n_exptl_absorpt_correction_T_max  0.9908\r\n_exptl_absorpt_process_details   \r\n;\r\nR.H. Blessing, Acta Cryst. (1995), A51, 33-38\r\n;\r\n_exptl_special_details           \r\n;\r\nMultipole refinement.\r\nCrystal to Detector distance was 6.03 cm, \\w range is 0.3 \\% and\r\nexposure time was 20s, 40s and 60s in three batches respectively.\r\n;\r\n_diffrn_measurement_device       'CCD area detector Bruker Axs SMART APEX'\r\n_diffrn_measurement_method       '\\w scans'\r\n_diffrn_reflns_number            33367\r\n_reflns_number_total             6288\r\n_reflns_number_gt                5742\r\n_reflns_threshold_expression     >3sigma(I)\r\n_diffrn_reflns_av_R_equivalents  0.0312\r\n_diffrn_reflns_theta_min         2.63\r\n_diffrn_reflns_theta_max         50.16\r\n_diffrn_reflns_limit_h_min       0\r\n_diffrn_reflns_limit_h_max       12\r\n_diffrn_reflns_limit_k_min       -16\r\n_diffrn_reflns_limit_k_max       15\r\n_diffrn_reflns_limit_l_min       0\r\n_diffrn_reflns_limit_l_max       33\r\n_diffrn_reflns_theta_full        50.16\r\n_diffrn_measured_fraction_theta_max 0.984\r\n_diffrn_measured_fraction_theta_full 0.984\r\n_diffrn_standards_number         ?\r\n_diffrn_standards_interval_time  ?\r\n_diffrn_standards_decay_%        0\r\n_refine_ls_structure_factor_coef F\r\n_refine_ls_matrix_type           full\r\n_refine_ls_R_factor_gt           0.0243\r\n_refine_ls_R_factor_all          0.0278\r\n_refine_ls_wR_factor_ref         0.0251\r\n_refine_ls_hydrogen_treatment    refall\r\n_refine_ls_number_restraints     0\r\n_refine_ls_number_reflns         5742\r\n_refine_ls_number_parameters     391\r\n_refine_ls_goodness_of_fit_ref   2.0971\r\n_refine_ls_weighting_scheme      calc\r\n_refine_ls_weighting_details     \r\n;\r\ncalc w1 = Fo*sqrt(w2) + sqrt(Fo^2^w2^2^ + sqrt(w2^2^))\r\nwhere\r\ncalc w2 = q/[s^2^(Fo^2^) + (0.00 P)^2^ + 0.00 P + 0.00 + 0.00 sin(th)]\r\nwhere P = (0.3333 Fo^2^ + 0.6667 Fc^2^)\r\nq = 1.0\r\n;\r\n_refine_ls_shift/su_max          0.0000\r\n_refine_ls_shift/su_mean         0.0000\r\n_refine_diff_density_max         0.174\r\n_refine_diff_density_min         -0.241\r\n_refine_ls_extinction_method     none\r\n_refine_ls_abs_structure_details \r\n;\r\nFlack H D (1983), Acta Cryst. A39, 876-881,\r\nFlack,H.D. & Bernardinelli, G. (1999) Acta Cryst. A55,\r\n908-915 and (2000) J. Appl. Cryst., 33, 1143-1148.\r\n;\r\n_refine_ls_abs_structure_Flack   0.04(3)\r\n_chemical_absolute_configuration unk\r\nloop_\r\n_atom_type_symbol\r\n_atom_type_description\r\n_atom_type_scat_dispersion_real\r\n_atom_type_scat_dispersion_imag\r\n_atom_type_scat_source\r\nC C 0.0033 0.0016 'International Tables Vol C Tables 4.2.6.8 and 6.1.1.4'\r\nH H 0.0000 0.0000 'International Tables Vol C Tables 4.2.6.8 and 6.1.1.4'\r\nO O 0.0106 0.0060 'International Tables Vol C Tables 4.2.6.8 and 6.1.1.4'\r\n\r\n_computing_data_collection       'Bruker SMART'\r\n_computing_cell_refinement       'Bruker SMART'\r\n_computing_data_reduction        'Bruker SAINT'\r\n_computing_structure_solution    'SHELXS-97 (Sheldrick, 1997)'\r\n_computing_structure_refinement  'Koritsanszky et al, (2003)'\r\n_computing_molecular_graphics    'Koritsanszky et al, (2003)'\r\n_computing_publication_material  'Koritsanszky et al, (2003)'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\n_atom_site_occupancy\r\n_atom_site_U_iso_or_equiv\r\nO(1) -0.0093(1) 0.3905 0.65508(4) 1.0000 0.014\r\nO(2) -0.1083(1) 0.4838(1) 0.78495(4) 1.0000 0.019\r\nC(8) 0.14305(6) 0.30639(11) 0.59989(2) 1.0000 0.012\r\nC(3) 0.40510(7) 0.24149(12) 0.72104(2) 1.0000 0.014\r\nC(7) 0.08085(7) 0.30390(12) 0.51272(2) 1.0000 0.014\r\nC(9) 0.35298(6) 0.22949(11) 0.63011(2) 1.0000 0.012\r\nC(4) 0.50270(7) 0.14533(11) 0.57062(3) 1.0000 0.014\r\nC(1) 0.03586(6) 0.40415(12) 0.74185(2) 1.0000 0.014\r\nC(2) 0.25249(7) 0.32433(12) 0.77450(3) 1.0000 0.015\r\nC(6) 0.23144(8) 0.22004(12) 0.45497(3) 1.0000 0.016\r\nC(5) 0.44115(8) 0.13997(12) 0.48381(3) 1.0000 0.016\r\nH(2) 0.28146 0.33888 0.84310 1.0000 0.023(4)\r\nH(6) 0.18089 0.21105 0.38779 1.0000 0.043(4)\r\nH(5) 0.55424 0.07186 0.43874 1.0000 0.038(4)\r\nH(7) -0.07996 0.36385 0.48873 1.0000 0.033(4)\r\nH(3) 0.56483 0.18016 0.74510 1.0000 0.041(5)\r\nH(4) 0.66476 0.08596 0.59384 1.0000 0.036(5)\r\nloop_\r\n_atom_site_aniso_label\r\n_atom_site_aniso_U_11\r\n_atom_site_aniso_U_22\r\n_atom_site_aniso_U_33\r\n_atom_site_aniso_U_12\r\n_atom_site_aniso_U_13\r\n_atom_site_aniso_U_23\r\nO(1) 0.0125(2) 0.0155(2) 0.0140(2) 0.0034(2) 0.0001(2) 0.0004(2)\r\nO(2) 0.0177(2) 0.0216(2) 0.0185(2) 0.0043(2) 0.0043(2) -0.0036(2)\r\nC(8) 0.0113(1) 0.0116(1) 0.0119(1) 0.0009(1) -0.0001(1) 0.0007(1)\r\nC(3) 0.0132(1) 0.0140(1) 0.0134(1) 0.0016(1) -0.0020(1) -0.0002(1)\r\nC(7) 0.0151(1) 0.0152(1) 0.0126(1) 0.0011(1) -0.0015(1) 0.0009(1)\r\nC(9) 0.0113(1) 0.0115(1) 0.0125(1) 0.0012(1) 0.0000(1) 0.0006(1)\r\nC(4) 0.0140(1) 0.0142(1) 0.0150(2) 0.0028(1) 0.0014(1) 0.0000(1)\r\nC(1) 0.0136(1) 0.0135(1) 0.0140(1) 0.0012(1) 0.0019(1) -0.0008(1)\r\nC(2) 0.0157(1) 0.0152(1) 0.0129(1) 0.0011(1) -0.0011(1) -0.0014(1)\r\nC(6) 0.0197(1) 0.0155(1) 0.0121(1) 0.0004(1) 0.0001(1) -0.0001(1)\r\nC(5) 0.0187(2) 0.0152(1) 0.0147(1) 0.0024(1) 0.0028(1) -0.0009(1)\r\nloop_\r\n_geom_bond_atom_site_label_1\r\n_geom_bond_atom_site_label_2\r\n_geom_bond_distance\r\n_geom_bond_site_symmetry_1\r\n_geom_bond_site_symmetry_2\r\n_geom_bond_publ_flag\r\nO(1) C(8) 1.3721(8) 1_555 1_555 yes\r\nO(1) C(1) 1.3708(8) 1_555 1_555 yes\r\nO(2) C(1) 1.2160(7) 1_555 1_555 yes\r\nC(8) C(7) 1.3937(5) 1_555 1_555 yes\r\nC(8) C(9) 1.3997(4) 1_555 1_555 yes\r\nC(3) C(9) 1.4404(5) 1_555 1_555 yes\r\nC(3) C(2) 1.3521(5) 1_555 1_555 yes\r\nC(3) H(3) 1.0800 1_555 1_555 yes\r\nC(7) C(6) 1.3904(6) 1_555 1_555 yes\r\nC(7) H(7) 1.0800 1_555 1_555 yes\r\nC(9) C(4) 1.4060(5) 1_555 1_555 yes\r\nC(4) C(5) 1.3879(6) 1_555 1_555 yes\r\nC(4) H(4) 1.0800 1_555 1_555 yes\r\nC(1) C(2) 1.4536(5) 1_555 1_555 yes\r\nC(2) H(2) 1.0800 1_555 1_555 yes\r\nC(6) C(5) 1.4023(6) 1_555 1_555 yes\r\nC(6) H(6) 1.0800 1_555 1_555 yes\r\nC(5) H(5) 1.0800 1_555 1_555 yes\r\nloop_\r\n_geom_angle_atom_site_label_1\r\n_geom_angle_atom_site_label_2\r\n_geom_angle_atom_site_label_3\r\n_geom_angle\r\n_geom_angle_site_symmetry_1\r\n_geom_angle_site_symmetry_2\r\n_geom_angle_site_symmetry_3\r\n_geom_angle_publ_flag\r\nC(8) O(1) C(1) 122.11(5) 1_555 1_555 1_555 yes\r\nO(1) C(8) C(7) 116.96(4) 1_555 1_555 1_555 yes\r\nO(1) C(8) C(9) 121.15(4) 1_555 1_555 1_555 yes\r\nC(7) C(8) C(9) 121.88(3) 1_555 1_555 1_555 yes\r\nC(9) C(3) C(2) 120.00(3) 1_555 1_555 1_555 yes\r\nC(9) C(3) H(3) 118.49 1_555 1_555 1_555 yes\r\nC(2) C(3) H(3) 121.48 1_555 1_555 1_555 yes\r\nC(8) C(7) C(6) 118.47(4) 1_555 1_555 1_555 yes\r\nC(8) C(7) H(7) 122.41 1_555 1_555 1_555 yes\r\nC(6) C(7) H(7) 119.12 1_555 1_555 1_555 yes\r\nC(8) C(9) C(3) 118.02(3) 1_555 1_555 1_555 yes\r\nC(8) C(9) C(4) 118.71(3) 1_555 1_555 1_555 yes\r\nC(3) C(9) C(4) 123.26(3) 1_555 1_555 1_555 yes\r\nC(9) C(4) C(5) 119.95(4) 1_555 1_555 1_555 yes\r\nC(9) C(4) H(4) 118.79 1_555 1_555 1_555 yes\r\nC(5) C(4) H(4) 121.26 1_555 1_555 1_555 yes\r\nO(1) C(1) O(2) 116.99(5) 1_555 1_555 1_555 yes\r\nO(1) C(1) C(2) 117.53(4) 1_555 1_555 1_555 yes\r\nO(2) C(1) C(2) 125.48(5) 1_555 1_555 1_555 yes\r\nC(3) C(2) C(1) 121.18(4) 1_555 1_555 1_555 yes\r\nC(3) C(2) H(2) 123.77 1_555 1_555 1_555 yes\r\nC(1) C(2) H(2) 115.04 1_555 1_555 1_555 yes\r\nC(7) C(6) C(5) 120.73(4) 1_555 1_555 1_555 yes\r\nC(7) C(6) H(6) 119.31 1_555 1_555 1_555 yes\r\nC(5) C(6) H(6) 119.88 1_555 1_555 1_555 yes\r\nC(4) C(5) C(6) 120.24(4) 1_555 1_555 1_555 yes\r\nC(4) C(5) H(5) 119.59 1_555 1_555 1_555 yes\r\nC(6) C(5) H(5) 120.17 1_555 1_555 1_555 yes\r\nloop_\r\n_geom_torsion_atom_site_label_1\r\n_geom_torsion_atom_site_label_2\r\n_geom_torsion_atom_site_label_3\r\n_geom_torsion_atom_site_label_4\r\n_geom_torsion\r\n_geom_torsion_site_symmetry_1\r\n_geom_torsion_site_symmetry_2\r\n_geom_torsion_site_symmetry_3\r\n_geom_torsion_site_symmetry_4\r\n_geom_torsion_publ_flag\r\nC(8) O(1) C(1) O(2) 178.8(1) 1_555 1_555 1_555 1_555 yes\r\nC(1) O(1) C(8) C(7) -178.7(1) 1_555 1_555 1_555 1_555 yes\r\nC(1) O(1) C(8) C(9) 0.3(1) 1_555 1_555 1_555 1_555 yes\r\nC(8) O(1) C(1) C(2) -0.6(1) 1_555 1_555 1_555 1_555 yes\r\nO(1) C(8) C(7) C(6) 179.9(1) 1_555 1_555 1_555 1_555 yes\r\nO(1) C(8) C(7) H(7) -0.5 1_555 1_555 1_555 1_555 yes\r\nO(1) C(8) C(9) C(3) -0.2(1) 1_555 1_555 1_555 1_555 yes\r\nO(1) C(8) C(9) C(4) -179.9(1) 1_555 1_555 1_555 1_555 yes\r\nC(7) C(8) C(9) C(3) 178.8(1) 1_555 1_555 1_555 1_555 yes\r\nC(7) C(8) C(9) C(4) -1.0(1) 1_555 1_555 1_555 1_555 yes\r\nC(9) C(8) C(7) C(6) 0.9(1) 1_555 1_555 1_555 1_555 yes\r\nC(9) C(8) C(7) H(7) -179.4 1_555 1_555 1_555 1_555 yes\r\nC(2) C(3) C(9) C(8) 0.4(1) 1_555 1_555 1_555 1_555 yes\r\nC(2) C(3) C(9) C(4) -179.9(1) 1_555 1_555 1_555 1_555 yes\r\nC(9) C(3) C(2) C(1) -0.7(1) 1_555 1_555 1_555 1_555 yes\r\nC(9) C(3) C(2) H(2) -179.5 1_555 1_555 1_555 1_555 yes\r\nH(3) C(3) C(9) C(8) 178.7 1_555 1_555 1_555 1_555 yes\r\nH(3) C(3) C(9) C(4) -1.6 1_555 1_555 1_555 1_555 yes\r\nH(3) C(3) C(2) C(1) -179.0 1_555 1_555 1_555 1_555 yes\r\nH(3) C(3) C(2) H(2) 2.2 1_555 1_555 1_555 1_555 yes\r\nC(8) C(7) C(6) C(5) -0.1(1) 1_555 1_555 1_555 1_555 yes\r\nC(8) C(7) C(6) H(6) 176.7 1_555 1_555 1_555 1_555 yes\r\nH(7) C(7) C(6) C(5) -179.7 1_555 1_555 1_555 1_555 yes\r\nH(7) C(7) C(6) H(6) -2.9 1_555 1_555 1_555 1_555 yes\r\nC(8) C(9) C(4) C(5) 0.1(1) 1_555 1_555 1_555 1_555 yes\r\nC(8) C(9) C(4) H(4) 180.0 1_555 1_555 1_555 1_555 yes\r\nC(3) C(9) C(4) C(5) -179.6(1) 1_555 1_555 1_555 1_555 yes\r\nC(3) C(9) C(4) H(4) 0.3 1_555 1_555 1_555 1_555 yes\r\nC(9) C(4) C(5) C(6) 0.8(1) 1_555 1_555 1_555 1_555 yes\r\nC(9) C(4) C(5) H(5) -178.2 1_555 1_555 1_555 1_555 yes\r\nH(4) C(4) C(5) C(6) -179.1 1_555 1_555 1_555 1_555 yes\r\nH(4) C(4) C(5) H(5) 1.9 1_555 1_555 1_555 1_555 yes\r\nO(1) C(1) C(2) C(3) 0.8(1) 1_555 1_555 1_555 1_555 yes\r\nO(1) C(1) C(2) H(2) 179.7 1_555 1_555 1_555 1_555 yes\r\nO(2) C(1) C(2) C(3) -178.5(1) 1_555 1_555 1_555 1_555 yes\r\nO(2) C(1) C(2) H(2) 0.4 1_555 1_555 1_555 1_555 yes\r\nC(7) C(6) C(5) C(4) -0.8(1) 1_555 1_555 1_555 1_555 yes\r\nC(7) C(6) C(5) H(5) 178.2 1_555 1_555 1_555 1_555 yes\r\nH(6) C(6) C(5) C(4) -177.5 1_555 1_555 1_555 1_555 yes\r\nH(6) C(6) C(5) H(5) 1.4 1_555 1_555 1_555 1_555 yes\r\nloop_\r\n_atom_rho_multipole_label\r\n_atom_rho_multipole_coeff_Pv\r\n_atom_rho_multipole_coeff_P00\r\n_atom_rho_multipole_coeff_P11\r\n_atom_rho_multipole_coeff_P1-1\r\n_atom_rho_multipole_coeff_P10\r\n_atom_rho_multipole_coeff_P20\r\n_atom_rho_multipole_coeff_P21\r\n_atom_rho_multipole_coeff_P2-1\r\n_atom_rho_multipole_coeff_P22\r\n_atom_rho_multipole_coeff_P2-2\r\n_atom_rho_multipole_coeff_P30\r\n_atom_rho_multipole_coeff_P31\r\n_atom_rho_multipole_coeff_P3-1\r\n_atom_rho_multipole_coeff_P32\r\n_atom_rho_multipole_coeff_P3-2\r\n_atom_rho_multipole_coeff_P33\r\n_atom_rho_multipole_coeff_P3-3\r\n_atom_rho_multipole_coeff_P40\r\n_atom_rho_multipole_coeff_P41\r\n_atom_rho_multipole_coeff_P4-1\r\n_atom_rho_multipole_coeff_P42\r\n_atom_rho_multipole_coeff_P4-2\r\n_atom_rho_multipole_coeff_P43\r\n_atom_rho_multipole_coeff_P4-3\r\n_atom_rho_multipole_coeff_P44\r\n_atom_rho_multipole_coeff_P4-4\r\n_atom_rho_multipole_kappa_prime\r\n_atom_rho_multipole_kappa_dprime0\r\n_atom_rho_multipole_kappa_dprime1\r\n_atom_rho_multipole_kappa_dprime2\r\n_atom_rho_multipole_kappa_dprime3\r\n_atom_rho_multipole_kappa_dprime4\r\nO(1) 6.64(3) 0.00 -0.003(15) -0.057(12) -0.047(13) -0.059(15) -0.009(14)\r\n0.070(13) -0.006(13) 0.004(13) 0.052(8) 0.004(9) 0.022(8) 0.032(8) -0.008(7)\r\n-0.001(7) -0.014(9) 0.026(11) -0.004(10) 0.016(9) -0.003(10) -0.033(10)\r\n-0.043(9) -0.002(10) 0.059(9) -0.060(9) 0.99 1.42 1.42 1.42 1.42 1.42\r\nO(2) 6.51(3) 0.00 0.046(18) -0.021(15) -0.041(15) 0.021(16) 0.037(15)\r\n-0.059(14) -0.088(15) 0.030(17) 0.003(11) -0.007(9) -0.011(11) 0.028(11)\r\n-0.022(10) -0.001(11) 0.021(10) 0.026(12) -0.017(11) -0.006(11) -0.034(12)\r\n-0.085(11) -0.012(12) 0.039(12) 0.040(12) 0.021(12) 1.00 1.21 1.21 1.21 1.21\r\n1.21\r\nC(8) 3.78(6) 0.00 -0.03(3) 0.08(3) -0.19(3) 0.00(2) 0.019(19) 0.05(2) -0.22(2)\r\n0.00(2) 0.36(3) -0.04(2) -0.13(3) 0.18(3) 0.00(3) -0.01(2) -0.09(3) 0.11(3)\r\n-0.07(3) 0.00(4) -0.01(3) 0.05(3) -0.11(3) -0.08(3) 0.05(3) 0.00(3) 1.06 0.86\r\n0.86 0.86 0.86 0.86\r\nC(3) 3.96(6) 0.00 0.00(3) -0.04(3) -0.02(4) 0.14(3) -0.01(2) -0.05(2) -0.21(2)\r\n0.04(2) 0.35(3) 0.02(2) 0.00(3) 0.25(3) -0.03(3) 0.00(3) 0.06(3) 0.10(4)\r\n-0.04(2) 0.03(4) -0.16(3) 0.05(3) 0.01(3) 0.00(3) 0.04(3) -0.01(3) 1.06 0.86\r\n0.86 0.86 0.86 0.86\r\nC(7) 3.99(6) 0.00 0.05(3) 0.04(4) -0.03(4) 0.15(3) -0.03(2) -0.03(3) -0.12(2)\r\n-0.06(2) 0.33(3) 0.02(2) -0.15(3) 0.19(3) 0.01(3) -0.01(3) -0.02(3) 0.01(4)\r\n0.07(2) -0.05(4) -0.13(3) -0.04(3) 0.01(3) -0.03(3) 0.02(3) -0.01(3) 1.06 0.86\r\n0.86 0.86 0.86 0.86\r\nC(9) 3.67(6) 0.00 -0.04(3) 0.08(3) -0.01(3) 0.14(3) 0.07(2) -0.05(2) -0.11(2)\r\n-0.04(2) 0.30(3) 0.03(2) -0.05(3) 0.22(3) 0.03(3) 0.01(2) -0.01(3) 0.09(4)\r\n0.04(3) -0.11(4) 0.03(3) -0.03(4) 0.02(3) -0.05(3) -0.01(3) 0.00(3) 1.06 0.86\r\n0.86 0.86 0.86 0.86\r\nC(4) 4.17(6) 0.00 0.06(3) 0.05(4) -0.04(4) 0.15(3) 0.04(2) -0.06(3) -0.17(2)\r\n0.02(3) 0.29(3) 0.00(2) 0.18(3) 0.32(3) -0.01(3) 0.02(3) -0.05(3) 0.00(4)\r\n0.04(3) -0.08(4) -0.12(3) 0.05(3) -0.04(3) -0.03(3) 0.05(3) -0.03(3) 1.06 0.86\r\n0.86 0.86 0.86 0.86\r\nC(1) 4.01(5) 0.00 -0.08(3) -0.01(2) 0.05(3) 0.37(2) -0.02(2) 0.16(2) -0.15(2)\r\n0.03(2) 0.41(3) 0.04(2) -0.06(3) 0.33(3) -0.07(2) 0.02(3) -0.05(2) -0.03(4)\r\n0.02(3) 0.17(4) -0.08(3) -0.03(3) -0.01(3) -0.06(3) 0.10(3) -0.02(3) 1.06 0.86\r\n0.86 0.86 0.86 0.86\r\nC(2) 3.89(6) 0.00 0.01(3) 0.07(3) 0.10(3) -0.01(3) -0.04(2) -0.09(2) -0.14(2)\r\n0.01(2) 0.31(3) 0.00(3) 0.06(3) 0.16(3) -0.04(2) 0.00(2) 0.04(3) 0.09(4)\r\n-0.05(3) 0.03(3) 0.04(3) -0.04(3) -0.03(3) 0.03(3) 0.03(3) -0.06(3) 1.06 0.86\r\n0.86 0.86 0.86 0.86\r\nC(6) 3.95(6) 0.00 0.05(3) 0.02(4) 0.01(4) 0.02(3) -0.05(2) -0.03(2) -0.18(2)\r\n-0.01(2) 0.34(3) -0.02(3) 0.09(3) 0.21(3) 0.07(3) -0.02(3) -0.02(3) 0.01(4)\r\n-0.06(3) -0.02(3) -0.02(3) -0.02(3) 0.07(3) 0.04(3) 0.02(3) 0.09(3) 1.06 0.86\r\n0.86 0.86 0.86 0.86\r\nC(5) 4.00(6) 0.00 0.01(4) -0.06(4) 0.02(4) -0.02(3) -0.026(19) 0.15(3) -0.21(3)\r\n-0.03(3) 0.29(3) 0.07(2) -0.12(3) 0.23(3) 0.05(3) -0.02(3) 0.01(3) 0.10(4)\r\n0.01(2) 0.09(4) -0.05(3) -0.06(3) 0.14(3) 0.00(3) 0.03(3) 0.03(3) 1.06 0.86\r\n0.86 0.86 0.86 0.86\r\nH(2) 0.75(5) 0.00 0.00 0.00 0.16(3) 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00\r\n0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.20 1.20 1.20\r\n1.20 1.20 1.20\r\nH(6) 1.02(6) 0.00 0.00 0.00 0.25(3) 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00\r\n0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.20 1.20 1.20\r\n1.20 1.20 1.20\r\nH(5) 0.96(6) 0.00 0.00 0.00 0.18(3) 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00\r\n0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.20 1.20 1.20\r\n1.20 1.20 1.20\r\nH(7) 0.91(5) 0.00 0.00 0.00 0.16(3) 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00\r\n0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.20 1.20 1.20\r\n1.20 1.20 1.20\r\nH(3) 0.89(5) 0.00 0.00 0.00 0.23(3) 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00\r\n0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.20 1.20 1.20\r\n1.20 1.20 1.20\r\nH(4) 0.91(6) 0.00 0.00 0.00 0.17(3) 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00\r\n0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.20 1.20 1.20\r\n1.20 1.20 1.20\r\nloop_\r\n_atom_local_axes_label\r\n_atom_local_axes_atom0\r\n_atom_local_axes_ax1\r\n_atom_local_axes_atom1\r\n_atom_local_axes_atom2\r\n_atom_local_axes_ax2\r\nO(1) C(1) Z O(1) C(8) Y\r\nO(2) C(1) Z O(2) O(1) Y\r\nC(8) O(1) Z C(8) C(7) Y\r\nC(3) H(3) Z C(3) C(2) Y\r\nC(7) H(7) Z C(7) C(6) Y\r\nC(9) C(8) Z C(9) C(4) Y\r\nC(4) H(4) Z C(4) C(5) Y\r\nC(1) O(2) Z C(1) O(1) Y\r\nC(2) H(2) Z C(2) C(3) Y\r\nC(6) H(6) Z C(6) C(7) Y\r\nC(5) H(5) Z C(5) C(4) Y\r\nH(2) C(2) Z H(2) C(3) Y\r\nH(6) C(6) Z H(6) C(7) Y\r\nH(5) C(5) Z H(5) C(4) Y\r\nH(7) C(7) Z H(7) C(8) Y\r\nH(3) C(3) Z H(3) C(2) Y\r\nH(4) C(4) Z H(4) C(9) Y\r\n\r\n"
  },
  {
    "path": "pyxtal/database/cifs/dist_6_0.cif",
    "content": "#############################################################\n#             ______       _    _          _   \t            #\n#            (_____ \\     \\ \\  / /        | |               #\n#             _____) )   _ \\ \\/ / |_  ____| |  \t            #\n#            |  ____/ | | | )  (|  _)/ _  | | \t            #\n#            | |    | |_| |/ /\\ \\ |_( (_| | |___            #\n#            |_|     \\__  /_/  \\_\\___)__|_|_____)           #\n#                   (____/                                  #\n#---------------------(version    0.4.1)--------------------#\n#       A Python package for random crystal generation      #\n#       url: https://github.com/qzhu2017/pyxtal             #\n#       @Zhu's group at University of Nevada Las Vegas      #\n#############################################################\ndata_from_pyxtal\n\n_symmetry_space_group_name_H-M 'Pm'\n_symmetry_Int_Tables_number                    6\n_symmetry_cell_setting                monoclinic\n_cell_length_a            6.561267\n_cell_length_b            3.770591\n_cell_length_c            6.597092\n_cell_angle_alpha        90.000000\n_cell_angle_beta        119.210833\n_cell_angle_gamma        90.000000\n_cell_volume            142.455520\n\nloop_\n _symmetry_equiv_pos_site_id\n _symmetry_equiv_pos_as_xyz\n1 'x, y, z'\n2 'x, -y, z'\n\nloop_\n _atom_site_label\n _atom_site_type_symbol\n _atom_site_symmetry_multiplicity\n _atom_site_fract_x\n _atom_site_fract_y\n _atom_site_fract_z\n _atom_site_occupancy\nPr     Pr       1     0.334543    0.000000    0.664694 1\nPr     Pr       1     0.660463    0.500000    0.324056 1\nH      H        1     0.141141    0.500000    0.285537 1\nH      H        1     0.135930    0.500000    0.853727 1\nH      H        1     0.281900    0.000000    0.140007 1\nH      H        1     0.719630    0.500000    0.857542 1\nH      H        1     0.859733    0.000000    0.141102 1\nH      H        1     0.858620    0.000000    0.688219 1\nO      O        1     0.087839    0.500000    0.688604 1\nO      O        1     0.307855    0.500000    0.394058 1\nO      O        1     0.392211    0.000000    0.081682 1\nO      O        1     0.603340    0.500000    0.908420 1\nO      O        1     0.689823    0.000000    0.592402 1\nO      O        1     0.911375    0.000000    0.307002 1\n#END\n\n"
  },
  {
    "path": "pyxtal/database/cifs/dist_6_1.cif",
    "content": "#############################################################\n#             ______       _    _          _   \t            #\n#            (_____ \\     \\ \\  / /        | |               #\n#             _____) )   _ \\ \\/ / |_  ____| |  \t            #\n#            |  ____/ | | | )  (|  _)/ _  | | \t            #\n#            | |    | |_| |/ /\\ \\ |_( (_| | |___            #\n#            |_|     \\__  /_/  \\_\\___)__|_|_____)           #\n#                   (____/                                  #\n#---------------------(version    0.4.1)--------------------#\n#       A Python package for random crystal generation      #\n#       url: https://github.com/qzhu2017/pyxtal             #\n#       @Zhu's group at University of Nevada Las Vegas      #\n#############################################################\ndata_from_pyxtal\n\n_symmetry_space_group_name_H-M 'Pm'\n_symmetry_Int_Tables_number                    6\n_symmetry_cell_setting                monoclinic\n_cell_length_a            6.552521\n_cell_length_b            3.746938\n_cell_length_c            6.574206\n_cell_angle_alpha        90.000000\n_cell_angle_beta        119.133402\n_cell_angle_gamma        90.000000\n_cell_volume            140.989071\n\nloop_\n _symmetry_equiv_pos_site_id\n _symmetry_equiv_pos_as_xyz\n1 'x, y, z'\n2 'x, -y, z'\n\nloop_\n _atom_site_label\n _atom_site_type_symbol\n _atom_site_symmetry_multiplicity\n _atom_site_fract_x\n _atom_site_fract_y\n _atom_site_fract_z\n _atom_site_occupancy\nPr     Pr       1     0.671517    0.000000    0.328734 1\nPr     Pr       1     0.330775    0.500000    0.663204 1\nH      H        1     0.845421    0.500000    0.700867 1\nH      H        1     0.858107    0.500000    0.121573 1\nH      H        1     0.708558    0.000000    0.849799 1\nH      H        1     0.293448    0.500000    0.142286 1\nH      H        1     0.143953    0.000000    0.869053 1\nH      H        1     0.156897    0.000000    0.291312 1\nO      O        1     0.914160    0.500000    0.598961 1\nO      O        1     0.692279    0.500000    0.074340 1\nO      O        1     0.602685    0.000000    0.682542 1\nO      O        1     0.399633    0.500000    0.309400 1\nO      O        1     0.310063    0.000000    0.917436 1\nO      O        1     0.088101    0.000000    0.393138 1\n#END\n\n"
  },
  {
    "path": "pyxtal/database/cifs/gdh.cif",
    "content": "####################################################################### \r\n# \r\n# This file contains crystal structure data downloaded from the \r\n# Cambridge Structural Database (CSD) hosted by the Cambridge \r\n# Crystallographic Data Centre (CCDC).\r\n# \r\n# Full information about CCDC data access policies and citation \r\n# guidelines are available at http://www.ccdc.cam.ac.uk/access/V1 \r\n# \r\n# Audit and citation data items may have been added by the CCDC. \r\n# Please retain this information to preserve the provenance of \r\n# this file and to allow appropriate attribution of the data. \r\n# \r\n#######################################################################\r\n\r\ndata_20GLY_29_RIGIDGLY2_phase_1\r\n_audit_block_doi                 10.5517/ccdc.csd.cc1mvtdp\r\n_database_code_depnum_ccdc_archive 'CCDC 1515323'\r\nloop_\r\n_citation_id\r\n_citation_doi\r\n_citation_year\r\n1 10.1002/anie.201610977 2017\r\n_audit_update_record             \r\n;\r\n2016-11-04 deposited with the CCDC.\t2021-04-14 downloaded from the CCDC.\r\n;\r\n\r\n_pd_block_id                     \r\n2016-11-01T01:40|20GLY_29_RIGIDGLY2_phase1|Wenqian_Xu||\r\n\r\n# Histograms for phase 1\r\nloop_\r\n_pd_block_diffractogram_id\r\n2016-11-01T01:40|20GLY_29_RIGIDGLY2_H_01|Wenqian_Xu|17-BM\r\n\r\n#==============================================================================\r\n# 7. CHEMICAL, STRUCTURAL AND CRYSTAL DATA\r\n\r\n_pd_char_particle_morphology     ?\r\n\r\n_chemical_name_systematic        'glycine dihydrate'\r\n_chemical_name_common            'glycine dihydrate'\r\n_chemical_formula_moiety         'C2H5NO2 * 2H2O'\r\n_chemical_formula_structural     ?\r\n_chemical_formula_analytical     ?\r\n_chemical_melting_point          ?\r\n_chemical_compound_source        ? # for minerals and\r\n# natural products\r\n_symmetry_space_group_name_Hall  ?\r\n\r\n_exptl_crystal_F_000             ?\r\n_exptl_crystal_density_diffrn    ?\r\n_exptl_crystal_density_meas      ?\r\n_exptl_crystal_density_method    ?\r\n\r\n_cell_measurement_temperature    208\r\n\r\n_cell_special_details            \r\n; ?\r\n;\r\n\r\n_geom_special_details            ?\r\n\r\n# The following item identifies the program(s) used (if appropriate).\r\n_computing_structure_solution    ?\r\n\r\n#==============================================================================\r\n\r\n# 8. Phase information from GSAS\r\n\r\n_pd_phase_name                   \r\n'from C:/GSAS/MyWork/2016-1/Chunhua/20Gly-29/20Gly_d250_R-00029.cif'\r\n_cell_length_a                   8.9585(9)\r\n_cell_length_b                   8.2166(8)\r\n_cell_length_c                   7.6142(6)\r\n_cell_angle_alpha                90.0\r\n_cell_angle_beta                 104.262(7)\r\n_cell_angle_gamma                90.0\r\n_cell_volume                     543.20(8)\r\n_symmetry_cell_setting           monoclinic\r\n_symmetry_space_group_name_H-M   'P 1 21/c 1'\r\nloop_\r\n_symmetry_equiv_pos_site_id\r\n_symmetry_equiv_pos_as_xyz\r\n1 +x,+y,+z\r\n2 -x,+y+1/2,-z+1/2\r\n-1 -x,-y,-z\r\n-2 +x,-y+1/2,+z+1/2\r\n\r\n# ATOMIC COORDINATES AND DISPLACEMENT PARAMETERS\r\n\r\n\r\nloop_\r\n_atom_site_type_symbol\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\n_atom_site_occupancy\r\n_atom_site_thermal_displace_type\r\n_atom_site_U_iso_or_equiv\r\n_atom_site_symmetry_multiplicity\r\nO O1 0.3959(4) 0.7533(4) 0.9633(4) 1.0 Uiso 0.0408(33) 4\r\nO O2 0.1508(4) 0.8496(4) 0.9160(4) 1.0 Uiso 0.0408(33) 4\r\nN N1 0.2924(4) 0.4371(4) 0.9486(4) 1.0 Uiso 0.0408(33) 4\r\nH H1A 0.3559(4) 0.4338(4) 1.0604(4) 1.0 Uiso 0.061(5) 4\r\nH H1B 0.3478(4) 0.4540(4) 0.8665(4) 1.0 Uiso 0.061(5) 4\r\nH H1C 0.2416(4) 0.3420(4) 0.9250(4) 1.0 Uiso 0.061(5) 4\r\nC C1 0.2523(4) 0.7429(4) 0.9388(4) 1.0 Uiso 0.0408(33) 4\r\nC C2 0.1797(4) 0.5720(4) 0.9386(4) 1.0 Uiso 0.0408(33) 4\r\nH H2A 0.1333(4) 0.5636(4) 1.0421(4) 1.0 Uiso 0.061(5) 4\r\nH H2B 0.0972(4) 0.5594(4) 0.8279(4) 1.0 Uiso 0.061(5) 4\r\nO O3 0.4917(13) 0.4990(17) 0.7151(14) 1.0 Uiso 0.056(4) 4\r\nH H3A 0.5268(13) 0.4287(17) 0.6573(14) 1.0 Uiso 0.084(5) 4\r\nH H3B 0.4590(13) 0.5808(17) 0.6522(14) 1.0 Uiso 0.084(5) 4\r\nO O4 0.1548(11) 0.3365(12) 0.5273(11) 1.0 Uiso 0.056(4) 4\r\nH H4A 0.0866(11) 0.3301(12) 0.5863(11) 1.0 Uiso 0.084(5) 4\r\nH H4B 0.1525(11) 0.4316(12) 0.4828(11) 1.0 Uiso 0.084(5) 4\r\n\r\nloop_\r\n_atom_type_symbol\r\n_atom_type_number_in_cell\r\nO 16.0\r\nN 4.0\r\nH 36.0\r\nC 8.0\r\n\r\n# If you change Z, be sure to change all 3 of the following\r\n_chemical_formula_sum            'C2 H9 N O4'\r\n_chemical_formula_weight         111.10\r\n_cell_formula_units_Z            4\r\n\r\n# MOLECULAR GEOMETRY\r\n\r\nloop_\r\n_geom_bond_atom_site_label_1\r\n_geom_bond_atom_site_label_2\r\n_geom_bond_distance\r\n_geom_bond_site_symmetry_1\r\n_geom_bond_site_symmetry_2\r\n_geom_bond_publ_flag\r\nO1 C1 1.25719(13) . 1_555 N\r\nO1 H3A 1.927(13) . 2_656 N\r\nO1 H3B 1.961(13) . -2_565 N\r\nO2 C1 1.24389(9) . 1_555 N\r\nO2 H4B 1.867(11) . -2_565 N\r\nN1 H1A 0.90043(8) . 1_555 N\r\nN1 H1B 0.89970(6) . 1_555 N\r\nN1 H1C 0.90009(7) . 1_555 N\r\nN1 C2 1.48822(10) . 1_555 N\r\nN1 H2A 2.02958(14) . 1_555 N\r\nN1 H2B 2.02956(16) . 1_555 N\r\nH1A N1 0.90043(8) . 1_555 N\r\nH1A H1B 1.46967(11) . 1_555 N\r\nH1A H1C 1.47004(11) . 1_555 N\r\nH1A C2 1.97985(15) . 1_555 N\r\nH1A O3 1.986(12) . -1_667 N\r\nH1B N1 0.89970(6) . 1_555 N\r\nH1B H1A 1.46967(11) . 1_555 N\r\nH1B H1C 1.46960(9) . 1_555 N\r\nH1B C2 1.97914(14) . 1_555 N\r\nH1B O3 1.964(9) . 1_555 N\r\nH1C N1 0.90009(7) . 1_555 N\r\nH1C H1A 1.47004(11) . 1_555 N\r\nH1C H1B 1.46960(9) . 1_555 N\r\nH1C C2 1.97934(17) . 1_555 N\r\nH1C O4 1.914(9) . -2_555 N\r\nC1 O1 1.25719(13) . 1_555 N\r\nC1 O2 1.24389(9) . 1_555 N\r\nC1 C2 1.54774(12) . 1_555 N\r\nC1 H2A 2.08312(13) . 1_555 N\r\nC1 H2B 2.08314(14) . 1_555 N\r\nC2 N1 1.48822(10) . 1_555 N\r\nC2 H1A 1.97985(15) . 1_555 N\r\nC2 H1B 1.97914(14) . 1_555 N\r\nC2 H1C 1.97934(17) . 1_555 N\r\nC2 C1 1.54774(12) . 1_555 N\r\nC2 H2A 0.97988(7) . 1_555 N\r\nC2 H2B 0.97992(9) . 1_555 N\r\nH2A N1 2.02958(14) . 1_555 N\r\nH2A C1 2.08312(13) . 1_555 N\r\nH2A C2 0.97988(7) . 1_555 N\r\nH2A H2B 1.58269(12) . 1_555 N\r\nH2B N1 2.02956(16) . 1_555 N\r\nH2B C1 2.08314(14) . 1_555 N\r\nH2B C2 0.97992(9) . 1_555 N\r\nH2B H2A 1.58269(12) . 1_555 N\r\nO3 H1A 1.986(12) . -1_667 N\r\nO3 H1B 1.964(9) . 1_555 N\r\nO3 H3A 0.83316(5) . 1_555 N\r\nO3 H3B 0.83577(6) . 1_555 N\r\nH3A O1 1.927(13) . 2_646 N\r\nH3A O3 0.83316(5) . 1_555 N\r\nH3A H3B 1.38593(11) . 1_555 N\r\nH3B O1 1.961(13) . -2_564 N\r\nH3B O3 0.83577(6) . 1_555 N\r\nH3B H3A 1.38593(11) . 1_555 N\r\nO4 H1C 1.914(9) . -2_554 N\r\nO4 H4A 0.84428(7) . 1_555 N\r\nO4 H4B 0.84991(7) . 1_555 N\r\nH4A O4 0.84428(7) . 1_555 N\r\nH4A H4B 1.37627(8) . 1_555 N\r\nH4B O2 1.867(11) . -2_564 N\r\nH4B O4 0.84991(7) . 1_555 N\r\nH4B H4A 1.37627(8) . 1_555 N\r\n\r\nloop_\r\n_geom_angle_atom_site_label_1\r\n_geom_angle_atom_site_label_2\r\n_geom_angle_atom_site_label_3\r\n_geom_angle\r\n_geom_angle_site_symmetry_1\r\n_geom_angle_site_symmetry_2\r\n_geom_angle_site_symmetry_3\r\n_geom_angle_publ_flag\r\nH1A N1 H1B 109.456(7) 1_555 . 1_555 N\r\nH1A N1 H1C 109.463(4) 1_555 . 1_555 N\r\nH1A N1 C2 109.490(4) 1_555 . 1_555 N\r\nH1B N1 H1C 109.4793(32) 1_555 . 1_555 N\r\nH1B N1 C2 109.473(5) 1_555 . 1_555 N\r\nH1C N1 C2 109.467(7) 1_555 . 1_555 N\r\nN1 H1A H1B 35.256(4) 1_555 . 1_555 N\r\nN1 H1A H1C 35.261(4) 1_555 . 1_555 N\r\nH1B H1A H1C 59.988(5) 1_555 . 1_555 N\r\nN1 H1B H1A 35.289(4) 1_555 . 1_555 N\r\nN1 H1B H1C 35.2690(26) 1_555 . 1_555 N\r\nH1A H1B H1C 60.018(4) 1_555 . 1_555 N\r\nN1 H1C H1A 35.2765(16) 1_555 . 1_555 N\r\nN1 H1C H1B 35.2517(25) 1_555 . 1_555 N\r\nH1A H1C H1B 59.993(5) 1_555 . 1_555 N\r\nO1 C1 O2 131.270(4) 1_555 . 1_555 N\r\nO1 C1 C2 118.4154(25) 1_555 . 1_555 N\r\nO2 C1 C2 110.305(7) 1_555 . 1_555 N\r\nN1 C2 C1 113.350(7) 1_555 . 1_555 N\r\nN1 C2 H2A 108.889(4) 1_555 . 1_555 N\r\nN1 C2 H2B 108.885(5) 1_555 . 1_555 N\r\nC1 C2 H2A 108.9243(26) 1_555 . 1_555 N\r\nC1 C2 H2B 108.9230(27) 1_555 . 1_555 N\r\nH2A C2 H2B 107.720(7) 1_555 . 1_555 N\r\nH3A O3 H3B 112.286(6) 1_555 . 1_555 N\r\nO3 H3A H3B 33.9171(27) 1_555 . 1_555 N\r\nO3 H3B H3A 33.7968(32) 1_555 . 1_555 N\r\nH4A O4 H4B 108.6509(22) 1_555 . 1_555 N\r\nO4 H4A H4B 35.8112(29) 1_555 . 1_555 N\r\nO4 H4B H4A 35.5378(22) 1_555 . 1_555 N\r\n_diffrn_ambient_temperature      208\r\n"
  },
  {
    "path": "pyxtal/database/cifs/ht_KNbBO.cif",
    "content": "#############################################################\n#             ______       _    _          _                #\n#            (_____ \\     \\ \\  / /        | |               #\n#             _____) )   _ \\ \\/ / |_  ____| |               #\n#            |  ____/ | | | )  (|  _)/ _  | |               #\n#            | |    | |_| |/ /\\ \\ |_( (_| | |___            #\n#            |_|     \\__  /_/  \\_\\___)__|_|_____)           #\n#                   (____/                                  #\n#---------------------(version    0.5.2)--------------------#\n#       A Python package for random crystal generation      #\n#       url: https://github.com/qzhu2017/pyxtal             #\n#       @Zhu's group at University of Nevada Las Vegas      #\n#############################################################\ndata_from_pyxtal\n\n_symmetry_space_group_name_H-M 'P-62m'\n_symmetry_Int_Tables_number                  189\n_symmetry_cell_setting                 hexagonal\n_cell_length_a            8.943192\n_cell_length_b            8.943192\n_cell_length_c            3.966009\n_cell_angle_alpha        90.000000\n_cell_angle_beta         90.000000\n_cell_angle_gamma       120.000000\n_cell_volume            274.706845\n\nloop_\n _symmetry_equiv_pos_site_id\n _symmetry_equiv_pos_as_xyz\n1 'x, y, z'\n2 '-y, x-y, z'\n3 '-x+y, -x, z'\n4 'x, y, -z'\n5 '-y, x-y, -z'\n6 '-x+y, -x, -z'\n7 'y, x, -z'\n8 'x-y, -y, -z'\n9 '-x, -x+y, -z'\n10 'y, x, z'\n11 'x-y, -y, z'\n12 '-x, -x+y, z'\n\nloop_\n _atom_site_label\n _atom_site_type_symbol\n _atom_site_symmetry_multiplicity\n _atom_site_fract_x\n _atom_site_fract_y\n _atom_site_fract_z\n _atom_site_occupancy\nB      B        2     0.333333    0.666667    0.000000 1\nO      O        6     0.314491    0.504123    0.000000 1\nO      O        3     0.177932    0.000000    0.000000 1\nO      O        3     0.735635    0.000000    0.500000 1\nK      K        3     0.404144    0.000000    0.500000 1\nNb     Nb       3     0.752986    0.000000    0.000000 1\n#END\n\n"
  },
  {
    "path": "pyxtal/database/cifs/ht_cristobalite.cif",
    "content": "# generated using pymatgen\ndata_SiO2\n_symmetry_space_group_name_H-M   Fd-3m\n_cell_length_a   7.46086800\n_cell_length_b   7.46086800\n_cell_length_c   7.46086800\n_cell_angle_alpha   90.00000000\n_cell_angle_beta   90.00000000\n_cell_angle_gamma   90.00000000\n_symmetry_Int_Tables_number   227\n_chemical_formula_structural   SiO2\n_chemical_formula_sum   'Si8 O16'\n_cell_volume   415.30586963\n_cell_formula_units_Z   8\nloop_\n _symmetry_equiv_pos_site_id\n _symmetry_equiv_pos_as_xyz\n  1  'x, y, z'\n  2  '-y+1/4, x+1/4, z+1/4'\n  3  '-x, -y+1/2, z+1/2'\n  4  'y+3/4, -x+1/4, z+3/4'\n  5  'x, -y, -z'\n  6  '-y+1/4, -x+3/4, -z+3/4'\n  7  '-x, y+1/2, -z+1/2'\n  8  'y+3/4, x+3/4, -z+1/4'\n  9  'z, x, y'\n  10  'z+1/4, -y+1/4, x+1/4'\n  11  'z+1/2, -x, -y+1/2'\n  12  'z+3/4, y+3/4, -x+1/4'\n  13  '-z, x, -y'\n  14  '-z+3/4, -y+1/4, -x+3/4'\n  15  '-z+1/2, -x, y+1/2'\n  16  '-z+1/4, y+3/4, x+3/4'\n  17  'y, z, x'\n  18  'x+1/4, z+1/4, -y+1/4'\n  19  '-y+1/2, z+1/2, -x'\n  20  '-x+1/4, z+3/4, y+3/4'\n  21  '-y, -z, x'\n  22  '-x+3/4, -z+3/4, -y+1/4'\n  23  'y+1/2, -z+1/2, -x'\n  24  'x+3/4, -z+1/4, y+3/4'\n  25  '-x+1/4, -y+1/4, -z+1/4'\n  26  'y, -x, -z'\n  27  'x+1/4, y+3/4, -z+3/4'\n  28  '-y+1/2, x, -z+1/2'\n  29  '-x+1/4, y+1/4, z+1/4'\n  30  'y, x+1/2, z+1/2'\n  31  'x+1/4, -y+3/4, z+3/4'\n  32  '-y+1/2, -x+1/2, z'\n  33  '-z+1/4, -x+1/4, -y+1/4'\n  34  '-z, y, -x'\n  35  '-z+3/4, x+1/4, y+3/4'\n  36  '-z+1/2, -y+1/2, x'\n  37  'z+1/4, -x+1/4, y+1/4'\n  38  'z+1/2, y, x+1/2'\n  39  'z+3/4, x+1/4, -y+3/4'\n  40  'z, -y+1/2, -x+1/2'\n  41  '-y+1/4, -z+1/4, -x+1/4'\n  42  '-x, -z, y'\n  43  'y+3/4, -z+3/4, x+1/4'\n  44  'x, -z+1/2, -y+1/2'\n  45  'y+1/4, z+1/4, -x+1/4'\n  46  'x+1/2, z+1/2, y'\n  47  '-y+3/4, z+3/4, x+1/4'\n  48  '-x+1/2, z, -y+1/2'\n  49  'x+1/2, y+1/2, z'\n  50  '-y+3/4, x+3/4, z+1/4'\n  51  '-x+1/2, -y, z+1/2'\n  52  'y+1/4, -x+3/4, z+3/4'\n  53  'x+1/2, -y+1/2, -z'\n  54  '-y+3/4, -x+1/4, -z+3/4'\n  55  '-x+1/2, y, -z+1/2'\n  56  'y+1/4, x+1/4, -z+1/4'\n  57  'z+1/2, x+1/2, y'\n  58  'z+3/4, -y+3/4, x+1/4'\n  59  'z, -x+1/2, -y+1/2'\n  60  'z+1/4, y+1/4, -x+1/4'\n  61  '-z+1/2, x+1/2, -y'\n  62  '-z+1/4, -y+3/4, -x+3/4'\n  63  '-z, -x+1/2, y+1/2'\n  64  '-z+3/4, y+1/4, x+3/4'\n  65  'y+1/2, z+1/2, x'\n  66  'x+3/4, z+3/4, -y+1/4'\n  67  '-y, z, -x'\n  68  '-x+3/4, z+1/4, y+3/4'\n  69  '-y+1/2, -z+1/2, x'\n  70  '-x+1/4, -z+1/4, -y+1/4'\n  71  'y, -z, -x'\n  72  'x+1/4, -z+3/4, y+3/4'\n  73  '-x+3/4, -y+3/4, -z+1/4'\n  74  'y+1/2, -x+1/2, -z'\n  75  'x+3/4, y+1/4, -z+3/4'\n  76  '-y, x+1/2, -z+1/2'\n  77  '-x+3/4, y+3/4, z+1/4'\n  78  'y+1/2, x, z+1/2'\n  79  'x+3/4, -y+1/4, z+3/4'\n  80  '-y, -x, z'\n  81  '-z+3/4, -x+3/4, -y+1/4'\n  82  '-z+1/2, y+1/2, -x'\n  83  '-z+1/4, x+3/4, y+3/4'\n  84  '-z, -y, x'\n  85  'z+3/4, -x+3/4, y+1/4'\n  86  'z, y+1/2, x+1/2'\n  87  'z+1/4, x+3/4, -y+3/4'\n  88  'z+1/2, -y, -x+1/2'\n  89  '-y+3/4, -z+3/4, -x+1/4'\n  90  '-x+1/2, -z+1/2, y'\n  91  'y+1/4, -z+1/4, x+1/4'\n  92  'x+1/2, -z, -y+1/2'\n  93  'y+3/4, z+3/4, -x+1/4'\n  94  'x, z, y'\n  95  '-y+1/4, z+1/4, x+1/4'\n  96  '-x, z+1/2, -y+1/2'\n  97  'x+1/2, y, z+1/2'\n  98  '-y+3/4, x+1/4, z+3/4'\n  99  '-x+1/2, -y+1/2, z'\n  100  'y+1/4, -x+1/4, z+1/4'\n  101  'x+1/2, -y, -z+1/2'\n  102  '-y+3/4, -x+3/4, -z+1/4'\n  103  '-x+1/2, y+1/2, -z'\n  104  'y+1/4, x+3/4, -z+3/4'\n  105  'z+1/2, x, y+1/2'\n  106  'z+3/4, -y+1/4, x+3/4'\n  107  'z, -x, -y'\n  108  'z+1/4, y+3/4, -x+3/4'\n  109  '-z+1/2, x, -y+1/2'\n  110  '-z+1/4, -y+1/4, -x+1/4'\n  111  '-z, -x, y'\n  112  '-z+3/4, y+3/4, x+1/4'\n  113  'y+1/2, z, x+1/2'\n  114  'x+3/4, z+1/4, -y+3/4'\n  115  '-y, z+1/2, -x+1/2'\n  116  '-x+3/4, z+3/4, y+1/4'\n  117  '-y+1/2, -z, x+1/2'\n  118  '-x+1/4, -z+3/4, -y+3/4'\n  119  'y, -z+1/2, -x+1/2'\n  120  'x+1/4, -z+1/4, y+1/4'\n  121  '-x+3/4, -y+1/4, -z+3/4'\n  122  'y+1/2, -x, -z+1/2'\n  123  'x+3/4, y+3/4, -z+1/4'\n  124  '-y, x, -z'\n  125  '-x+3/4, y+1/4, z+3/4'\n  126  'y+1/2, x+1/2, z'\n  127  'x+3/4, -y+3/4, z+1/4'\n  128  '-y, -x+1/2, z+1/2'\n  129  '-z+3/4, -x+1/4, -y+3/4'\n  130  '-z+1/2, y, -x+1/2'\n  131  '-z+1/4, x+1/4, y+1/4'\n  132  '-z, -y+1/2, x+1/2'\n  133  'z+3/4, -x+1/4, y+3/4'\n  134  'z, y, x'\n  135  'z+1/4, x+1/4, -y+1/4'\n  136  'z+1/2, -y+1/2, -x'\n  137  '-y+3/4, -z+1/4, -x+3/4'\n  138  '-x+1/2, -z, y+1/2'\n  139  'y+1/4, -z+3/4, x+3/4'\n  140  'x+1/2, -z+1/2, -y'\n  141  'y+3/4, z+1/4, -x+3/4'\n  142  'x, z+1/2, y+1/2'\n  143  '-y+1/4, z+3/4, x+3/4'\n  144  '-x, z, -y'\n  145  'x, y+1/2, z+1/2'\n  146  '-y+1/4, x+3/4, z+3/4'\n  147  '-x, -y, z'\n  148  'y+3/4, -x+3/4, z+1/4'\n  149  'x, -y+1/2, -z+1/2'\n  150  '-y+1/4, -x+1/4, -z+1/4'\n  151  '-x, y, -z'\n  152  'y+3/4, x+1/4, -z+3/4'\n  153  'z, x+1/2, y+1/2'\n  154  'z+1/4, -y+3/4, x+3/4'\n  155  'z+1/2, -x+1/2, -y'\n  156  'z+3/4, y+1/4, -x+3/4'\n  157  '-z, x+1/2, -y+1/2'\n  158  '-z+3/4, -y+3/4, -x+1/4'\n  159  '-z+1/2, -x+1/2, y'\n  160  '-z+1/4, y+1/4, x+1/4'\n  161  'y, z+1/2, x+1/2'\n  162  'x+1/4, z+3/4, -y+3/4'\n  163  '-y+1/2, z, -x+1/2'\n  164  '-x+1/4, z+1/4, y+1/4'\n  165  '-y, -z+1/2, x+1/2'\n  166  '-x+3/4, -z+1/4, -y+3/4'\n  167  'y+1/2, -z, -x+1/2'\n  168  'x+3/4, -z+3/4, y+1/4'\n  169  '-x+1/4, -y+3/4, -z+3/4'\n  170  'y, -x+1/2, -z+1/2'\n  171  'x+1/4, y+1/4, -z+1/4'\n  172  '-y+1/2, x+1/2, -z'\n  173  '-x+1/4, y+3/4, z+3/4'\n  174  'y, x, z'\n  175  'x+1/4, -y+1/4, z+1/4'\n  176  '-y+1/2, -x, z+1/2'\n  177  '-z+1/4, -x+3/4, -y+3/4'\n  178  '-z, y+1/2, -x+1/2'\n  179  '-z+3/4, x+3/4, y+1/4'\n  180  '-z+1/2, -y, x+1/2'\n  181  'z+1/4, -x+3/4, y+3/4'\n  182  'z+1/2, y+1/2, x'\n  183  'z+3/4, x+3/4, -y+1/4'\n  184  'z, -y, -x'\n  185  '-y+1/4, -z+3/4, -x+3/4'\n  186  '-x, -z+1/2, y+1/2'\n  187  'y+3/4, -z+1/4, x+3/4'\n  188  'x, -z, -y'\n  189  'y+1/4, z+3/4, -x+3/4'\n  190  'x+1/2, z, y+1/2'\n  191  '-y+3/4, z+1/4, x+3/4'\n  192  '-x+1/2, z+1/2, -y'\nloop_\n _atom_type_symbol\n _atom_type_oxidation_number\n  Si4+  4.0\n  O2-  -2.0\nloop_\n _atom_site_type_symbol\n _atom_site_label\n _atom_site_symmetry_multiplicity\n _atom_site_fract_x\n _atom_site_fract_y\n _atom_site_fract_z\n _atom_site_occupancy\n  Si4+  Si0  8  0.00000000  0.00000000  0.00000000  1\n  O2-  O1  16  0.12500000  0.12500000  0.12500000  1\n"
  },
  {
    "path": "pyxtal/database/cifs/ht_quartz.cif",
    "content": "data_global\n_chemical_name_mineral 'Quartz'\nloop_\n_publ_author_name\n'Kihara K'\n_journal_name_full 'European Journal of Mineralogy'\n_journal_volume 2 \n_journal_year 1990\n_journal_page_first 63\n_journal_page_last 77\n_publ_section_title\n;\n An X-ray study of the temperature dependence of the quartz structure\n Sample: at T = 848 K\n;\n_database_code_amcsd 0006370\n_chemical_formula_sum 'Si O2'\n_cell_length_a 4.9965\n_cell_length_b 4.9965\n_cell_length_c 5.4570\n_cell_angle_alpha 90\n_cell_angle_beta 90\n_cell_angle_gamma 120\n_cell_volume 117.982\n_exptl_crystal_density_diffrn      2.537\n_symmetry_space_group_name_H-M 'P 62 2 2'\nloop_\n_space_group_symop_operation_xyz\n  'x,y,z'\n  'x,x-y,1/3-z'\n  'x-y,x,1/3+z'\n  'y,x,2/3-z'\n  '-y,x-y,2/3+z'\n  '-x+y,y,-z'\n  '-x,-y,z'\n  '-x,-x+y,1/3-z'\n  '-x+y,-x,1/3+z'\n  '-y,-x,2/3-z'\n  'y,-x+y,2/3+z'\n  'x-y,-y,-z'\nloop_\n_atom_site_label\n_atom_site_fract_x\n_atom_site_fract_y\n_atom_site_fract_z\nSi   0.50000   0.00000   0.00000\nO   0.41520   0.20760   0.16667\nloop_\n_atom_site_aniso_label\n_atom_site_aniso_U_11\n_atom_site_aniso_U_22\n_atom_site_aniso_U_33\n_atom_site_aniso_U_12\n_atom_site_aniso_U_13\n_atom_site_aniso_U_23\nSi 0.02646 0.02011 0.01991 0.01005 0.00000 0.00000\nO 0.04942 0.05464 0.05853 0.02471 0.00000 -0.03218\n"
  },
  {
    "path": "pyxtal/database/cifs/ice.cif",
    "content": "# generated using pymatgen\ndata_H2O\n_symmetry_space_group_name_H-M   'P 1'\n_cell_length_a   4.45238200\n_cell_length_b   7.70757000\n_cell_length_c   7.27885800\n_cell_angle_alpha   90.00000000\n_cell_angle_beta   90.00000000\n_cell_angle_gamma   90.00000000\n_symmetry_Int_Tables_number   1\n_chemical_formula_structural   H2O\n_chemical_formula_sum   'H16 O8'\n_cell_volume   249.78890432\n_cell_formula_units_Z   8\nloop_\n _symmetry_equiv_pos_site_id\n _symmetry_equiv_pos_as_xyz\n  1  'x, y, z'\nloop_\n _atom_site_type_symbol\n _atom_site_label\n _atom_site_symmetry_multiplicity\n _atom_site_fract_x\n _atom_site_fract_y\n _atom_site_fract_z\n _atom_site_occupancy\n  H  H0  1  0.50000000  0.16268400  0.30287500  1\n  H  H1  1  0.50000000  0.83731600  0.80287500  1\n  H  H2  1  0.50000000  0.04022400  0.48041700  1\n  H  H3  1  0.50000000  0.95977600  0.98041700  1\n  H  H4  1  0.67871250  0.76954250  0.51677400  1\n  H  H5  1  0.32128750  0.76954250  0.51677400  1\n  H  H6  1  0.32128750  0.23045750  0.01677400  1\n  H  H7  1  0.67871250  0.23045750  0.01677400  1\n  H  H8  1  0.00000000  0.66268400  0.30287500  1\n  H  H9  1  0.00000000  0.33731600  0.80287500  1\n  H  H10  1  0.00000000  0.54022400  0.48041700  1\n  H  H11  1  0.00000000  0.45977600  0.98041700  1\n  H  H12  1  0.17871250  0.26954250  0.51677400  1\n  H  H13  1  0.82128750  0.26954250  0.51677400  1\n  H  H14  1  0.82128750  0.73045750  0.01677400  1\n  H  H15  1  0.17871250  0.73045750  0.01677400  1\n  O  O16  1  0.50000000  0.16460900  0.43975100  1\n  O  O17  1  0.50000000  0.83539100  0.93975100  1\n  O  O18  1  0.50000000  0.83344400  0.56540900  1\n  O  O19  1  0.50000000  0.16655600  0.06540900  1\n  O  O20  1  0.00000000  0.66460900  0.43975100  1\n  O  O21  1  0.00000000  0.33539100  0.93975100  1\n  O  O22  1  0.00000000  0.33344400  0.56540900  1\n  O  O23  1  0.00000000  0.66655600  0.06540900  1\n"
  },
  {
    "path": "pyxtal/database/cifs/lt_KNbBO.cif",
    "content": "#############################################################\n#             ______       _    _          _                #\n#            (_____ \\     \\ \\  / /        | |               #\n#             _____) )   _ \\ \\/ / |_  ____| |               #\n#            |  ____/ | | | )  (|  _)/ _  | |               #\n#            | |    | |_| |/ /\\ \\ |_( (_| | |___            #\n#            |_|     \\__  /_/  \\_\\___)__|_|_____)           #\n#                   (____/                                  #\n#---------------------(version    0.5.2)--------------------#\n#       A Python package for random crystal generation      #\n#       url: https://github.com/qzhu2017/pyxtal             #\n#       @Zhu's group at University of Nevada Las Vegas      #\n#############################################################\ndata_from_pyxtal\n\n_symmetry_space_group_name_H-M 'Pmc21'\n_symmetry_Int_Tables_number                   26\n_symmetry_cell_setting              orthorhombic\n_cell_length_a           15.431269\n_cell_length_b            4.050160\n_cell_length_c           17.805399\n_cell_angle_alpha        90.000000\n_cell_angle_beta         90.000000\n_cell_angle_gamma        90.000000\n_cell_volume           1112.821563\n\nloop_\n _symmetry_equiv_pos_site_id\n _symmetry_equiv_pos_as_xyz\n1 'x, y, z'\n2 '-x, -y, z+1/2'\n3 'x, -y, z+1/2'\n4 '-x, y, z'\n\nloop_\n _atom_site_label\n _atom_site_type_symbol\n _atom_site_symmetry_multiplicity\n _atom_site_fract_x\n _atom_site_fract_y\n _atom_site_fract_z\n _atom_site_occupancy\nB      B        4     0.166738    0.009101    0.717226 1\nB      B        4     0.333339    0.996626    0.967119 1\nO      O        2     0.000000    0.999656    0.557119 1\nO      O        4     0.252202    0.006797    0.499274 1\nO      O        4     0.089573    0.995916    0.922402 1\nO      O        4     0.752192    0.020018    0.749443 1\nO      O        4     0.593969    0.975969    0.011749 1\nO      O        4     0.841585    0.008675    0.640218 1\nO      O        4     0.589643    0.987378    0.172279 1\nO      O        2     0.500000    0.520736    0.586057 1\nO      O        4     0.369201    0.481834    0.282516 1\nO      O        4     0.658205    0.020783    0.890312 1\nO      O        4     0.130819    0.493145    0.032452 1\nO      O        2     0.500000    0.988943    0.306962 1\nO      O        2     0.000000    0.499645    0.836279 1\nO      O        4     0.094015    0.000215    0.261954 1\nK      K        2     0.500000    0.506828    0.418920 1\nK      K        4     0.798347    0.496866    0.866351 1\nK      K        4     0.298499    0.491382    0.616163 1\nK      K        2     0.000000    0.485267    0.668947 1\nNb     Nb       4     0.123539    0.964534    0.528996 1\nNb     Nb       4     0.376444    0.024311    0.278993 1\nNb     Nb       2     0.000000    0.957299    0.843643 1\nNb     Nb       2     0.500000    0.021607    0.093445 1\n#END\n\n"
  },
  {
    "path": "pyxtal/database/cifs/lt_cristobalite.cif",
    "content": "# generated using pymatgen\ndata_SiO2\n_symmetry_space_group_name_H-M   P4_12_12\n_cell_length_a   5.08470100\n_cell_length_b   5.08470100\n_cell_length_c   7.09857900\n_cell_angle_alpha   90.00000000\n_cell_angle_beta   90.00000000\n_cell_angle_gamma   90.00000000\n_symmetry_Int_Tables_number   92\n_chemical_formula_structural   SiO2\n_chemical_formula_sum   'Si4 O8'\n_cell_volume   183.52796945\n_cell_formula_units_Z   4\nloop_\n _symmetry_equiv_pos_site_id\n _symmetry_equiv_pos_as_xyz\n  1  'x, y, z'\n  2  '-y+1/2, x+1/2, z+1/4'\n  3  '-x, -y, z+1/2'\n  4  'y+1/2, -x+1/2, z+3/4'\n  5  'x+1/2, -y+1/2, -z+3/4'\n  6  '-y, -x, -z+1/2'\n  7  '-x+1/2, y+1/2, -z+1/4'\n  8  'y, x, -z'\nloop_\n _atom_site_type_symbol\n _atom_site_label\n _atom_site_symmetry_multiplicity\n _atom_site_fract_x\n _atom_site_fract_y\n _atom_site_fract_z\n _atom_site_occupancy\n  Si  Si0  4  0.20555000  0.79445000  0.25000000  1\n  O  O1  8  0.09410300  0.24102200  0.82564100  1\n"
  },
  {
    "path": "pyxtal/database/cifs/lt_quartz.cif",
    "content": "# generated using pymatgen\ndata_SiO2\n_symmetry_space_group_name_H-M   P3_221\n_cell_length_a   5.02778205\n_cell_length_b   5.02778205\n_cell_length_c   5.51891800\n_cell_angle_alpha   90.00000000\n_cell_angle_beta   90.00000000\n_cell_angle_gamma   120.00000000\n_symmetry_Int_Tables_number   154\n_chemical_formula_structural   SiO2\n_chemical_formula_sum   'Si3 O6'\n_cell_volume   120.81961853\n_cell_formula_units_Z   3\nloop_\n _symmetry_equiv_pos_site_id\n _symmetry_equiv_pos_as_xyz\n  1  'x, y, z'\n  2  '-y, x-y, z+2/3'\n  3  '-x+y, -x, z+1/3'\n  4  'y, x, -z'\n  5  'x-y, -y, -z+1/3'\n  6  '-x, -x+y, -z+2/3'\nloop_\n _atom_site_type_symbol\n _atom_site_label\n _atom_site_symmetry_multiplicity\n _atom_site_fract_x\n _atom_site_fract_y\n _atom_site_fract_z\n _atom_site_occupancy\n  Si  Si0  3  0.00000000  0.47729000  0.33333333  1\n  O  O1  6  0.16074000  0.74570300  0.53733367  1\n"
  },
  {
    "path": "pyxtal/database/cifs/naphthalene.cif",
    "content": "\n#######################################################################\n#\n#                 Cambridge Crystallographic Data Centre\n#                                CCDC \n#\n#######################################################################\n#\n# If this CIF has been generated from an entry in the Cambridge \n# Structural Database, then it will include bibliographic, chemical, \n# crystal, experimental, refinement or atomic coordinate data resulting \n# from the CCDC's data processing and validation procedures.\n#\n#######################################################################\n\ndata_NAPHTA04\n_symmetry_cell_setting           monoclinic\n_symmetry_space_group_name_H-M   'P 21/a'\n_symmetry_Int_Tables_number      14\n_space_group_name_Hall           '-P 2yab'\nloop_\n_symmetry_equiv_pos_site_id\n_symmetry_equiv_pos_as_xyz\n1 x,y,z\n2 1/2-x,1/2+y,-z\n3 -x,-y,-z\n4 1/2+x,1/2-y,z\n_cell_length_a                   8.098(7)\n_cell_length_b                   5.953(5)\n_cell_length_c                   8.652(7)\n_cell_angle_alpha                90\n_cell_angle_beta                 124.400(5)\n_cell_angle_gamma                90\n_cell_volume                     344.147\nloop_\n_atom_site_label\n_atom_site_type_symbol\n_atom_site_fract_x\n_atom_site_fract_y\n_atom_site_fract_z\nC1 C 0.08232 0.01856 0.32836\nC2 C 0.11295 0.16384 0.22289\nC3 C 0.04799 0.10518 0.03714\nC4 C 0.07656 0.25183 -0.07582\nC5 C -0.01320 -0.19021 0.25460\nH1 H 0.12420 0.05890 0.45540\nH2 H 0.17870 0.30560 0.27110\nH3 H 0.14180 0.39070 -0.02360\nH4 H -0.03330 -0.29520 0.33130\n#END\n"
  },
  {
    "path": "pyxtal/database/cifs/resorcinol.cif",
    "content": "####################################################################### \r\n# \r\n# This file contains crystal structure data downloaded from the \r\n# Cambridge Structural Database (CSD) hosted by the Cambridge \r\n# Crystallographic Data Centre (CCDC).\r\n# \r\n# Full information about CCDC data access policies and citation \r\n# guidelines are available at http://www.ccdc.cam.ac.uk/access/V1 \r\n# \r\n# Audit and citation data items may have been added by the CCDC. \r\n# Please retain this information to preserve the provenance of \r\n# this file and to allow appropriate attribution of the data. \r\n# \r\n#######################################################################\r\n\r\ndata_Resorcinol_epsilon\r\n_audit_block_doi                 10.5517/ccdc.csd.cc209zs3\r\n_database_code_depnum_ccdc_archive 'CCDC 1856645'\r\nloop_\r\n_citation_id\r\n_citation_doi\r\n_citation_year\r\n1 10.1021/jacs.6b01120 2016\r\nloop_\r\n_audit_author_name\r\n_audit_author_address\r\n'Alexander Shtukenberg'\r\n;New York University\r\nUnited States of America\r\n;\r\n_audit_update_record             \r\n;\r\n2018-07-18 deposited with the CCDC.\t2021-04-12 downloaded from the CCDC.\r\n;\r\n\r\n_chemical_name_systematic        \r\n; Resorcinol\r\n;\r\n_chemical_name_common            Resorcinol\r\n_chemical_formula_moiety         C6\r\n_chemical_formula_iupac          Benzene-1,3-diol\r\n_chemical_formula_sum            'C6 H6 O2'\r\n_chemical_formula_weight         110.1\r\n_chemical_melting_point          371\r\n\r\n\r\nloop_\r\n_atom_type_symbol\r\n_atom_type_scat_Cromer_Mann_a1\r\n_atom_type_scat_Cromer_Mann_b1\r\n_atom_type_scat_Cromer_Mann_a2\r\n_atom_type_scat_Cromer_Mann_b2\r\n_atom_type_scat_Cromer_Mann_a3\r\n_atom_type_scat_Cromer_Mann_b3\r\n_atom_type_scat_Cromer_Mann_a4\r\n_atom_type_scat_Cromer_Mann_b4\r\n_atom_type_scat_Cromer_Mann_c\r\n_atom_type_scat_dispersion_real\r\n_atom_type_scat_dispersion_imag\r\n_atom_type_scat_source\r\nc 2.31000 20.84390 1.02000 10.20750 1.58860 0.56870 0.86500 51.65120 0.21560\r\n0.00000 0.00100\r\nInternational_Tables_for_Crystallography_Vol.C(1991)_Tables_6.1.1.4_and_6.1.1.5\r\no 3.04850 13.27710 2.28680 5.70110 1.54630 0.32390 0.86700 32.90890 0.25080\r\n0.00300 0.00400\r\nInternational_Tables_for_Crystallography_Vol.C(1991)_Tables_6.1.1.4_and_6.1.1.5\r\nh 0.49300 10.51090 0.32291 26.12570 0.14019 3.14236 0.04081 57.79970 0.00304\r\n0.00000 0.00000\r\nInternational_Tables_for_Crystallography_Vol.C(1991)_Tables_6.1.1.4_and_6.1.1.5\r\n\r\n\r\n_symmetry_cell_setting           Orthorhombic\r\n_symmetry_space_group_name_H-M   'P 21 21 21'\r\n_symmetry_space_group_name_Hall  'P 2ac 2ab'\r\n\r\nloop_\r\n_symmetry_equiv_pos_as_xyz #<--must include 'x,y,z'\r\nx,y,z\r\nx+1/2,-y+1/2,-z\r\n-x,y+1/2,-z+1/2\r\n-x+1/2,-y,z+1/2\r\n\r\n_cell_length_a                   17.8998(2)\r\n_cell_length_b                   10.56800(12)\r\n_cell_length_c                   5.72211(6)\r\n_cell_angle_alpha                90.00000\r\n_cell_angle_beta                 90.00000\r\n_cell_angle_gamma                90.00000\r\n_cell_volume                     1082.43(2)\r\n_cell_formula_units_Z            8\r\n_cell_measurement_temperature    298\r\n\r\n\r\n# The next three fields give the specimen dimensions in mm.  The equatorial\r\n# plane contains the incident and diffracted beam.\r\n\r\n_pd_spec_size_axial              1 # perpendicular to \r\n# equatorial plane\r\n_pd_spec_size_equat              1 # parallel to \r\n# scattering vector\r\n# in transmission\r\n_pd_spec_mounting                \r\n; glass calippary\r\n;\r\n_pd_spec_mount_mode              transmission\r\n_pd_spec_shape                   cylinder\r\n_pd_char_colour                  white\r\n\r\n_pd_instr_location               \r\n; ESRF, ID22, Grenoble\r\n;\r\n\r\n\r\n_diffrn_ambient_temperature      298\r\n_diffrn_source                   synchrotron\r\n_diffrn_radiation_type           X-ray\r\n_diffrn_radiation_wavelength     0.410660\r\n\r\n\r\n_pd_proc_ls_prof_R_factor        5.4570\r\n_pd_proc_ls_prof_wR_factor       7.7410\r\n_pd_proc_ls_prof_wR_expected     8.4560\r\n\r\n#  The following profile R-factors are CORRECTED for background\r\n#  The sum is extended to all non-excluded points.\r\n#  These items are not in the current CIF standard, but are defined above\r\n\r\n_pd_proc_ls_prof_cR_factor       25.8653\r\n_pd_proc_ls_prof_cwR_factor      21.2720\r\n_pd_proc_ls_prof_cwR_expected    23.2370\r\n\r\n#  The following items are not in the CIF standard, but are defined above\r\n\r\n_pd_proc_ls_prof_chi2            0.8380\r\n_pd_proc_ls_prof_echi2           0.9348\r\n\r\n#  Items related to LS refinement\r\n\r\n_refine_ls_R_I_factor            8.5430\r\n_refine_ls_number_reflns         332\r\n_refine_ls_number_parameters     25\r\n_refine_ls_number_restraints     0\r\n\r\n_computing_structure_solution    USPEX\r\n_computing_structure_refinement  FULLPROF\r\n\r\n\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\n_atom_site_U_iso_or_equiv\r\n_atom_site_occupancy\r\n_atom_site_adp_type # Not in version 2.0.1\r\n_atom_site_type_symbol\r\nRe1 0.98823 1.02316 1.06015 0.00000 1.00000 Uiso C\r\nRe2 0.92803 1.01778 0.90507 0.00000 1.00000 Uiso C\r\nRe3 1.04917 0.94162 1.03664 0.00000 1.00000 Uiso C\r\nRe4 0.92882 0.92843 0.72523 0.00000 1.00000 Uiso C\r\nRe5 1.04889 0.85395 0.85462 0.00000 1.00000 Uiso C\r\nRe6 0.98929 0.84596 0.69838 0.00000 1.00000 Uiso C\r\nRe7 0.98996 1.11030 1.24008 0.00000 1.00000 Uiso O\r\nRe8 0.86822 0.92548 0.57735 0.00000 1.00000 Uiso O\r\nRe9 0.93881 1.14199 1.27295 0.00000 1.00000 Uiso H\r\nRe10 0.88034 1.08055 0.92607 0.00000 1.00000 Uiso H\r\nRe11 1.09544 0.94668 1.15951 0.00000 1.00000 Uiso H\r\nRe12 1.09606 0.78984 0.83539 0.00000 1.00000 Uiso H\r\nRe13 0.98955 0.77636 0.55879 0.00000 1.00000 Uiso H\r\nRe14 0.87369 0.85661 0.45905 0.00000 1.00000 Uiso H\r\nRs1 0.21749 0.71685 1.12950 0.00000 1.00000 Uiso C\r\nRs2 0.26939 0.69843 0.95033 0.00000 1.00000 Uiso C\r\nRs3 0.22651 0.81466 1.29190 0.00000 1.00000 Uiso C\r\nRs4 0.33166 0.77810 0.93661 0.00000 1.00000 Uiso C\r\nRs5 0.28891 0.89304 1.27415 0.00000 1.00000 Uiso C\r\nRs6 0.34202 0.87590 1.09837 0.00000 1.00000 Uiso C\r\nRs7 0.15634 0.63921 1.15314 0.00000 1.00000 Uiso O\r\nRs8 0.38187 0.75569 0.76031 0.00000 1.00000 Uiso O\r\nRs9 0.15727 0.56413 1.04701 0.00000 1.00000 Uiso H\r\nRs10 0.26263 0.62132 0.82580 0.00000 1.00000 Uiso H\r\nRs11 0.18589 0.82724 1.43151 0.00000 1.00000 Uiso H\r\nRs12 0.29639 0.96859 1.40137 0.00000 1.00000 Uiso H\r\nRs13 0.39121 0.93630 1.08888 0.00000 1.00000 Uiso H\r\nRs14 0.42646 0.81156 0.77063 0.00000 1.00000 Uiso H\r\n\r\n#loop_\r\n#   _geom_bond_atom_site_label_1\r\n#   _geom_bond_atom_site_label_2\r\n#   _geom_bond_distance\r\n#   _geom_bond_site_symmetry_2\r\n#   _geom_bond_publ_flag\r\n\r\n#---------------------------needed------------------------------------\r\n\r\n#loop_\r\n#   _geom_angle_atom_site_label_1\r\n#   _geom_angle_atom_site_label_2\r\n#   _geom_angle_atom_site_label_3\r\n#   _geom_angle\r\n#   _geom_angle_site_symmetry_1\r\n#   _geom_angle_site_symmetry_3\r\n#   _geom_angle_publ_flag\r\n\r\n#---------------------------needed------------------------------------\r\n\r\n_pd_meas_2theta_range_min        2.200000\r\n_pd_meas_2theta_range_max        18.000000\r\n_pd_meas_2theta_range_inc        0.002000\r\n_pd_proc_2theta_range_min        2.199340\r\n_pd_proc_2theta_range_max        17.999340\r\n_pd_proc_2theta_range_inc        0.002000\r\n\r\nloop_\r\n_pd_proc_point_id\r\n_pd_proc_2theta_corrected\r\n_pd_proc_intensity_total\r\n_pd_calc_intensity_total\r\n_pd_proc_intensity_bkg_calc\r\n\r\n1 2.1993 263(16) 251.4289 251.4289\r\n2 2.2013 261(16) 251.3482 251.3482\r\n3 2.2033 271(16) 251.2676 251.2676\r\n4 2.2053 256(16) 251.1870 251.1870\r\n5 2.2073 261(16) 251.1064 251.1064\r\n6 2.2093 265(16) 251.0258 251.0258\r\n7 2.2113 280(17) 250.9453 250.9453\r\n8 2.2133 263(16) 250.8649 250.8649\r\n9 2.2153 246(16) 250.7844 250.7844\r\n10 2.2173 263(16) 250.7041 250.7041\r\n11 2.2193 261(16) 250.6237 250.6237\r\n12 2.2213 256(16) 250.5433 250.5433\r\n13 2.2233 259(16) 250.4630 250.4630\r\n14 2.2253 259(16) 250.3828 250.3828\r\n15 2.2273 250(16) 250.3026 250.3026\r\n16 2.2293 253(16) 250.2224 250.2224\r\n17 2.2313 249(16) 250.1422 250.1422\r\n18 2.2333 254(16) 250.0620 250.0620\r\n19 2.2353 262(16) 249.9820 249.9820\r\n20 2.2373 264(16) 249.9019 249.9019\r\n21 2.2393 265(16) 249.8219 249.8219\r\n22 2.2413 266(16) 249.7419 249.7419\r\n23 2.2433 262(16) 249.6619 249.6619\r\n24 2.2453 280(17) 249.5820 249.5820\r\n25 2.2473 256(16) 249.5021 249.5021\r\n26 2.2493 255(16) 249.4222 249.4222\r\n27 2.2513 251(16) 249.3424 249.3424\r\n28 2.2533 271(16) 249.2626 249.2626\r\n29 2.2553 261(16) 249.1829 249.1829\r\n30 2.2573 249(16) 249.1031 249.1031\r\n31 2.2593 259(16) 249.0235 249.0235\r\n32 2.2613 258(16) 248.9438 248.9438\r\n33 2.2633 260(16) 248.8642 248.8642\r\n34 2.2653 266(16) 248.7846 248.7846\r\n35 2.2673 265(16) 248.7051 248.7051\r\n36 2.2693 254(16) 248.6255 248.6255\r\n37 2.2713 268(16) 248.5461 248.5461\r\n38 2.2733 252(16) 248.4666 248.4666\r\n39 2.2753 256(16) 248.3872 248.3872\r\n40 2.2773 255(16) 248.3078 248.3078\r\n41 2.2793 243(16) 248.2284 248.2284\r\n42 2.2813 241(16) 248.1491 248.1491\r\n43 2.2833 252(16) 248.0698 248.0698\r\n44 2.2853 258(16) 247.9906 247.9906\r\n45 2.2873 254(16) 247.9114 247.9114\r\n46 2.2893 251(16) 247.8322 247.8322\r\n47 2.2913 266(16) 247.7531 247.7531\r\n48 2.2933 258(16) 247.6739 247.6739\r\n49 2.2953 244(16) 247.5948 247.5948\r\n50 2.2973 247(16) 247.5158 247.5158\r\n51 2.2993 274(17) 247.4368 247.4368\r\n52 2.3013 239(15) 247.3578 247.3578\r\n53 2.3033 258(16) 247.2788 247.2788\r\n54 2.3053 249(16) 247.1999 247.1999\r\n55 2.3073 252(16) 247.1210 247.1210\r\n56 2.3093 250(16) 247.0422 247.0422\r\n57 2.3113 258(16) 246.9634 246.9634\r\n58 2.3133 251(16) 246.8846 246.8846\r\n59 2.3153 246(16) 246.8058 246.8058\r\n60 2.3173 257(16) 246.7271 246.7271\r\n61 2.3193 253(16) 246.6484 246.6484\r\n62 2.3213 257(16) 246.5698 246.5698\r\n63 2.3233 253(16) 246.4911 246.4911\r\n64 2.3253 258(16) 246.4126 246.4126\r\n65 2.3273 245(16) 246.3340 246.3340\r\n66 2.3293 251(16) 246.2555 246.2555\r\n67 2.3313 258(16) 246.1770 246.1770\r\n68 2.3333 261(16) 246.0986 246.0986\r\n69 2.3353 245(16) 246.0202 246.0202\r\n70 2.3373 241(16) 245.9418 245.9418\r\n71 2.3393 252(16) 245.8634 245.8634\r\n72 2.3413 257(16) 245.7851 245.7851\r\n73 2.3433 247(16) 245.7068 245.7068\r\n74 2.3453 250(16) 245.6286 245.6286\r\n75 2.3473 245(16) 245.5503 245.5503\r\n76 2.3493 253(16) 245.4722 245.4722\r\n77 2.3513 247(16) 245.3940 245.3940\r\n78 2.3533 255(16) 245.3159 245.3159\r\n79 2.3553 245(16) 245.2378 245.2378\r\n80 2.3573 257(16) 245.1598 245.1598\r\n81 2.3593 253(16) 245.0817 245.0817\r\n82 2.3613 251(16) 245.0037 245.0037\r\n83 2.3633 250(16) 244.9258 244.9258\r\n84 2.3653 263(16) 244.8479 244.8479\r\n85 2.3673 257(16) 244.7699 244.7699\r\n86 2.3693 255(16) 244.6921 244.6921\r\n87 2.3713 255(16) 244.6143 244.6143\r\n88 2.3733 241(16) 244.5365 244.5365\r\n89 2.3753 244(16) 244.4587 244.4587\r\n90 2.3773 245(16) 244.3810 244.3810\r\n91 2.3793 252(16) 244.3033 244.3033\r\n92 2.3813 236(15) 244.2256 244.2256\r\n93 2.3833 251(16) 244.1480 244.1480\r\n94 2.3853 231(15) 244.0704 244.0704\r\n95 2.3873 248(16) 243.9928 243.9928\r\n96 2.3893 259(16) 243.9153 243.9153\r\n97 2.3913 254(16) 243.8378 243.8378\r\n98 2.3933 237(15) 243.7603 243.7603\r\n99 2.3953 253(16) 243.6829 243.6829\r\n100 2.3973 256(16) 243.6055 243.6055\r\n101 2.3993 247(16) 243.5281 243.5281\r\n102 2.4013 249(16) 243.4508 243.4508\r\n103 2.4033 244(16) 243.3735 243.3735\r\n104 2.4053 248(16) 243.2962 243.2962\r\n105 2.4073 244(16) 243.2190 243.2190\r\n106 2.4093 240(16) 243.1418 243.1418\r\n107 2.4113 252(16) 243.0646 243.0646\r\n108 2.4133 246(16) 242.9875 242.9875\r\n109 2.4153 248(16) 242.9104 242.9104\r\n110 2.4173 244(16) 242.8333 242.8333\r\n111 2.4193 247(16) 242.7562 242.7562\r\n112 2.4213 250(16) 242.6792 242.6792\r\n113 2.4233 242(16) 242.6023 242.6023\r\n114 2.4253 251(16) 242.5253 242.5253\r\n115 2.4273 249(16) 242.4484 242.4484\r\n116 2.4293 250(16) 242.3715 242.3715\r\n117 2.4313 248(16) 242.2946 242.2946\r\n118 2.4333 249(16) 242.2178 242.2178\r\n119 2.4353 237(15) 242.1410 242.1410\r\n120 2.4373 245(16) 242.0643 242.0643\r\n121 2.4393 240(15) 241.9876 241.9876\r\n122 2.4413 248(16) 241.9109 241.9109\r\n123 2.4433 244(16) 241.8342 241.8342\r\n124 2.4453 247(16) 241.7576 241.7576\r\n125 2.4473 233(15) 241.6810 241.6810\r\n126 2.4493 245(16) 241.6044 241.6044\r\n127 2.4513 243(16) 241.5279 241.5279\r\n128 2.4533 248(16) 241.4514 241.4514\r\n129 2.4553 249(16) 241.3750 241.3750\r\n130 2.4573 244(16) 241.2985 241.2985\r\n131 2.4593 231(15) 241.2221 241.2221\r\n132 2.4613 237(15) 241.1457 241.1457\r\n133 2.4633 241(16) 241.0694 241.0694\r\n134 2.4653 242(16) 240.9931 240.9931\r\n135 2.4673 243(16) 240.9168 240.9168\r\n136 2.4693 233(15) 240.8406 240.8406\r\n137 2.4713 246(16) 240.7644 240.7644\r\n138 2.4733 257(16) 240.6882 240.6882\r\n139 2.4753 236(15) 240.6120 240.6120\r\n140 2.4773 251(16) 240.5359 240.5359\r\n141 2.4793 229(15) 240.4598 240.4598\r\n142 2.4813 239(15) 240.3838 240.3838\r\n143 2.4833 233(15) 240.3078 240.3078\r\n144 2.4853 238(15) 240.2318 240.2318\r\n145 2.4873 230(15) 240.1558 240.1558\r\n146 2.4893 235(15) 240.0799 240.0799\r\n147 2.4913 234(15) 240.0040 240.0040\r\n148 2.4933 238(15) 240.4081 239.9282\r\n149 2.4953 239(15) 240.3537 239.8523\r\n150 2.4973 236(15) 240.3007 239.7765\r\n151 2.4993 237(15) 240.2494 239.7008\r\n152 2.5013 245(16) 240.1998 239.6250\r\n153 2.5033 243(16) 240.1522 239.5493\r\n154 2.5053 240(15) 240.1067 239.4736\r\n155 2.5073 240(16) 240.0636 239.3980\r\n156 2.5093 242(16) 240.0231 239.3224\r\n157 2.5113 244(16) 239.9855 239.2468\r\n158 2.5133 235(15) 239.9511 239.1713\r\n159 2.5153 223(15) 239.9202 239.0958\r\n160 2.5173 231(15) 239.8933 239.0203\r\n161 2.5193 238(15) 239.8708 238.9448\r\n162 2.5213 258(16) 239.8533 238.8694\r\n163 2.5233 243(16) 239.8415 238.7940\r\n164 2.5253 243(16) 239.8360 238.7187\r\n165 2.5273 242(16) 239.8377 238.6433\r\n166 2.5293 242(16) 239.8477 238.5681\r\n167 2.5313 247(16) 239.8672 238.4928\r\n168 2.5333 231(15) 239.8976 238.4175\r\n169 2.5353 237(15) 239.9406 238.3424\r\n170 2.5373 227(15) 240.5168 238.2672\r\n171 2.5393 228(15) 240.6149 238.1921\r\n172 2.5413 244(16) 240.7350 238.1170\r\n173 2.5433 250(16) 240.8809 238.0419\r\n174 2.5453 235(15) 241.0572 237.9668\r\n175 2.5473 233(15) 241.2699 237.8918\r\n176 2.5493 239(15) 241.5255 237.8168\r\n177 2.5513 227(15) 241.8320 237.7419\r\n178 2.5533 231(15) 242.1979 237.6670\r\n179 2.5553 240(15) 242.6325 237.5921\r\n180 2.5573 240(16) 243.1474 237.5172\r\n181 2.5593 238(15) 243.7621 237.4424\r\n182 2.5613 245(16) 244.5200 237.3676\r\n183 2.5633 254(16) 245.5238 237.2928\r\n184 2.5653 247(16) 247.0101 237.2181\r\n185 2.5673 249(16) 249.5121 237.1434\r\n186 2.5693 253(16) 254.2551 237.0688\r\n187 2.5713 249(16) 264.1875 236.9941\r\n188 2.5733 293(17) 286.1768 236.9195\r\n189 2.5753 336(18) 333.2971 236.8449\r\n190 2.5773 402(20) 421.1605 236.7704\r\n191 2.5793 477(22) 549.6290 236.6959\r\n192 2.5813 587(24) 677.7179 236.6214\r\n193 2.5833 615(25) 727.1694 236.5469\r\n194 2.5853 538(23) 642.3267 236.4725\r\n195 2.5873 426(21) 470.0775 236.3981\r\n196 2.5893 341(18) 326.1014 236.3237\r\n197 2.5913 280(17) 262.2223 236.2494\r\n198 2.5933 276(17) 251.8093 236.1751\r\n199 2.5953 255(16) 255.9946 236.1009\r\n200 2.5973 255(16) 257.8763 236.0266\r\n201 2.5993 235(15) 256.8071 235.9524\r\n202 2.6013 239(15) 255.1819 235.8782\r\n203 2.6033 244(16) 253.8781 235.8041\r\n204 2.6053 234(15) 252.9440 235.7299\r\n205 2.6073 241(16) 252.4800 235.6559\r\n206 2.6093 237(15) 252.8381 235.5818\r\n207 2.6113 251(16) 254.7454 235.5078\r\n208 2.6133 255(16) 259.8198 235.4338\r\n209 2.6153 270(16) 271.9677 235.3599\r\n210 2.6173 281(17) 300.0316 235.2859\r\n211 2.6193 339(18) 359.5229 235.2120\r\n212 2.6213 427(21) 465.2682 235.1382\r\n213 2.6233 541(23) 607.9835 235.0643\r\n214 2.6253 736(27) 730.9774 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179(13) 184.1773 175.5383\r\n1185 4.5673 180(13) 183.2496 175.4876\r\n1186 4.5693 188(14) 182.4513 175.4368\r\n1187 4.5713 175(13) 181.7572 175.3861\r\n1188 4.5733 177(13) 181.1485 175.3353\r\n1189 4.5753 178(13) 180.6105 175.2846\r\n1190 4.5773 187(14) 180.1317 175.2339\r\n1191 4.5793 173(13) 179.7029 175.1833\r\n1192 4.5813 182(13) 181.0199 175.1326\r\n1193 4.5833 176(13) 180.7434 175.0820\r\n1194 4.5853 170(13) 180.5031 175.0314\r\n1195 4.5873 171(13) 180.2956 174.9808\r\n1196 4.5893 179(13) 180.1176 174.9302\r\n1197 4.5913 175(13) 179.9668 174.8797\r\n1198 4.5933 190(14) 179.8413 174.8291\r\n1199 4.5953 188(14) 179.7396 174.7786\r\n1200 4.5973 174(13) 179.6608 174.7281\r\n1201 4.5993 173(13) 179.6042 174.6776\r\n1202 4.6013 181(13) 179.5695 174.6271\r\n1203 4.6033 179(13) 179.5566 174.5767\r\n1204 4.6053 179(13) 179.5660 174.5262\r\n1205 4.6073 185(14) 179.5983 174.4758\r\n1206 4.6093 181(13) 179.6545 174.4254\r\n1207 4.6113 178(13) 179.7361 174.3750\r\n1208 4.6133 185(14) 179.8448 174.3247\r\n1209 4.6153 177(13) 179.9831 174.2743\r\n1210 4.6173 186(14) 180.1541 174.2240\r\n1211 4.6193 190(14) 180.3618 174.1737\r\n1212 4.6213 198(14) 180.6124 174.1234\r\n1213 4.6233 185(14) 180.9150 174.0731\r\n1214 4.6253 186(14) 181.2858 174.0229\r\n1215 4.6273 178(13) 180.5826 173.9726\r\n1216 4.6293 181(13) 181.2635 173.9224\r\n1217 4.6313 197(14) 182.2409 173.8722\r\n1218 4.6333 194(14) 183.7480 173.8220\r\n1219 4.6353 194(14) 186.0569 173.7719\r\n1220 4.6373 192(14) 189.2276 173.7217\r\n1221 4.6393 190(14) 192.7639 173.6716\r\n1222 4.6413 200(14) 195.5779 173.6215\r\n1223 4.6433 195(14) 196.6029 173.5714\r\n1224 4.6453 192(14) 195.9120 173.5213\r\n1225 4.6473 195(14) 194.9869 173.4712\r\n1226 4.6493 191(14) 195.1445 173.4212\r\n1227 4.6513 205(14) 196.6559 173.3712\r\n1228 4.6533 193(14) 199.3826 173.3212\r\n1229 4.6553 191(14) 203.4876 173.2712\r\n1230 4.6573 204(14) 209.8188 173.2212\r\n1231 4.6593 220(15) 220.4825 173.1712\r\n1232 4.6613 232(15) 240.4625 173.1213\r\n1233 4.6633 287(17) 281.2398 173.0714\r\n1234 4.6653 349(19) 366.0906 173.0215\r\n1235 4.6673 481(22) 530.8587 172.9716\r\n1236 4.6693 763(28) 805.2821 172.9217\r\n1237 4.6713 1158(34) 1167.8628 172.8719\r\n1238 4.6733 1649(41) 1506.8359 172.8221\r\n1239 4.6753 1835(43) 1648.8075 172.7723\r\n1240 4.6773 1593(40) 1483.3206 172.7225\r\n1241 4.6793 1104(33) 1106.9448 172.6727\r\n1242 4.6813 711(27) 744.1241 172.6229\r\n1243 4.6833 447(21) 509.9786 172.5732\r\n1244 4.6853 324(18) 384.5855 172.5235\r\n1245 4.6873 280(17) 315.3273 172.4738\r\n1246 4.6893 243(16) 271.9731 172.4241\r\n1247 4.6913 216(15) 244.2517 172.3744\r\n1248 4.6933 208(14) 227.3245 172.3247\r\n1249 4.6953 194(14) 216.7503 172.2751\r\n1250 4.6973 192(14) 209.3204 172.2255\r\n1251 4.6993 193(14) 203.4816 172.1759\r\n1252 4.7013 192(14) 198.6927 172.1263\r\n1253 4.7033 185(14) 194.7689 172.0767\r\n1254 4.7053 182(13) 191.5821 172.0272\r\n1255 4.7073 186(14) 188.9979 171.9777\r\n1256 4.7093 181(13) 186.8882 171.9282\r\n1257 4.7113 174(13) 185.1446 171.8787\r\n1258 4.7133 177(13) 183.6826 171.8292\r\n1259 4.7153 178(13) 182.4405 171.7797\r\n1260 4.7173 181(13) 181.3721 171.7303\r\n1261 4.7193 174(13) 180.4441 171.6808\r\n1262 4.7213 181(13) 179.6310 171.6314\r\n1263 4.7233 176(13) 178.9134 171.5821\r\n1264 4.7253 172(13) 178.2759 171.5327\r\n1265 4.7273 186(14) 177.7061 171.4833\r\n1266 4.7293 170(13) 177.1940 171.4340\r\n1267 4.7313 185(14) 176.7317 171.3847\r\n1268 4.7333 177(13) 176.3121 171.3354\r\n1269 4.7353 168(13) 175.9296 171.2861\r\n1270 4.7373 178(13) 175.5794 171.2368\r\n1271 4.7393 180(13) 175.2574 171.1876\r\n1272 4.7413 179(13) 174.9488 171.1383\r\n1273 4.7433 175(13) 174.6740 171.0891\r\n1274 4.7453 183(14) 174.4187 171.0399\r\n1275 4.7473 177(13) 174.1807 170.9907\r\n1276 4.7493 163(13) 173.9581 170.9416\r\n1277 4.7513 173(13) 173.7492 170.8924\r\n1278 4.7533 181(13) 173.5526 170.8433\r\n1279 4.7553 171(13) 173.3671 170.7942\r\n1280 4.7573 170(13) 173.1918 170.7451\r\n1281 4.7593 178(13) 173.0255 170.6960\r\n1282 4.7613 172(13) 174.6111 170.6469\r\n1283 4.7633 178(13) 174.5340 170.5979\r\n1284 4.7653 161(13) 174.4686 170.5489\r\n1285 4.7673 171(13) 174.4145 170.4999\r\n1286 4.7693 169(13) 174.3717 170.4509\r\n1287 4.7713 178(13) 174.3404 170.4019\r\n1288 4.7733 179(13) 174.3205 170.3529\r\n1289 4.7753 174(13) 172.6788 170.3040\r\n1290 4.7773 167(13) 172.7473 170.2551\r\n1291 4.7793 187(14) 172.8249 170.2062\r\n1292 4.7813 169(13) 172.9122 170.1573\r\n1293 4.7833 173(13) 173.1388 170.1084\r\n1294 4.7853 181(13) 173.2545 170.0596\r\n1295 4.7873 164(13) 173.3839 170.0107\r\n1296 4.7893 172(13) 173.5288 169.9619\r\n1297 4.7913 161(13) 173.6908 169.9131\r\n1298 4.7933 180(13) 173.8721 169.8643\r\n1299 4.7953 186(14) 174.0752 169.8155\r\n1300 4.7973 174(13) 174.3027 169.7668\r\n1301 4.7993 169(13) 174.5580 169.7181\r\n1302 4.8013 177(13) 174.8448 169.6693\r\n1303 4.8033 180(13) 175.1678 169.6207\r\n1304 4.8053 183(14) 175.5324 169.5720\r\n1305 4.8073 178(13) 175.9448 169.5233\r\n1306 4.8093 179(13) 176.4129 169.4747\r\n1307 4.8113 165(13) 176.9457 169.4260\r\n1308 4.8133 191(14) 177.5545 169.3774\r\n1309 4.8153 185(14) 178.2529 169.3288\r\n1310 4.8173 189(14) 179.0574 169.2802\r\n1311 4.8193 184(14) 179.9886 169.2317\r\n1312 4.8213 186(14) 181.0704 169.1831\r\n1313 4.8233 181(13) 182.3315 169.1346\r\n1314 4.8253 178(13) 183.8067 169.0861\r\n1315 4.8273 176(13) 185.5388 169.0376\r\n1316 4.8293 186(14) 187.5850 168.9891\r\n1317 4.8313 179(13) 190.0346 168.9406\r\n1318 4.8333 188(14) 193.0437 168.8922\r\n1319 4.8353 201(14) 196.9190 168.8438\r\n1320 4.8373 197(14) 202.2825 168.7953\r\n1321 4.8393 211(15) 210.4735 168.7470\r\n1322 4.8413 227(15) 224.5183 168.6986\r\n1323 4.8433 248(16) 251.4157 168.6502\r\n1324 4.8453 289(17) 306.4456 168.6019\r\n1325 4.8473 371(19) 417.5209 168.5536\r\n1326 4.8493 528(23) 620.4348 168.5052\r\n1327 4.8513 870(29) 931.4617 168.4570\r\n1328 4.8533 1413(38) 1301.5293 168.4087\r\n1329 4.8553 1813(43) 1596.1378 168.3605\r\n1330 4.8573 1888(43) 1651.7124 168.3122\r\n1331 4.8593 1508(39) 1411.6924 168.2640\r\n1332 4.8613 1000(32) 1024.4082 168.2158\r\n1333 4.8633 644(25) 693.3854 168.1676\r\n1334 4.8653 409(20) 489.1351 168.1194\r\n1335 4.8673 323(18) 379.0563 168.0712\r\n1336 4.8693 272(16) 318.8333 168.0231\r\n1337 4.8713 241(16) 287.6047 167.9750\r\n1338 4.8733 236(15) 279.4955 167.9269\r\n1339 4.8753 242(16) 289.2338 167.8788\r\n1340 4.8773 263(16) 306.2662 167.8307\r\n1341 4.8793 286(17) 315.9543 167.7827\r\n1342 4.8813 279(17) 306.2205 167.7346\r\n1343 4.8833 241(16) 277.7260 167.6866\r\n1344 4.8853 213(15) 244.9603 167.6386\r\n1345 4.8873 197(14) 220.2177 167.5906\r\n1346 4.8893 191(14) 205.0872 167.5426\r\n1347 4.8913 172(13) 196.0421 167.4947\r\n1348 4.8933 188(14) 190.0930 167.4467\r\n1349 4.8953 172(13) 185.9324 167.3988\r\n1350 4.8973 173(13) 183.0165 167.3509\r\n1351 4.8993 162(13) 180.9304 167.3030\r\n1352 4.9013 175(13) 179.3325 167.2551\r\n1353 4.9033 172(13) 178.0195 167.2073\r\n1354 4.9053 181(13) 176.8979 167.1595\r\n1355 4.9073 173(13) 175.9275 167.1116\r\n1356 4.9093 176(13) 175.0851 167.0638\r\n1357 4.9113 171(13) 174.3509 167.0160\r\n1358 4.9133 167(13) 173.7071 166.9683\r\n1359 4.9153 177(13) 173.1382 166.9205\r\n1360 4.9173 164(13) 172.6313 166.8728\r\n1361 4.9193 164(13) 172.1761 166.8251\r\n1362 4.9213 160(13) 171.7644 166.7774\r\n1363 4.9233 167(13) 171.3899 166.7297\r\n1364 4.9253 173(13) 171.0475 166.6820\r\n1365 4.9273 155(12) 170.7328 166.6343\r\n1366 4.9293 170(13) 170.4425 166.5867\r\n1367 4.9313 169(13) 170.1735 166.5391\r\n1368 4.9333 160(13) 169.9234 166.4915\r\n1369 4.9353 166(13) 169.6900 166.4439\r\n1370 4.9373 159(13) 169.4716 166.3963\r\n1371 4.9393 172(13) 169.2664 166.3488\r\n1372 4.9413 164(13) 169.0733 166.3012\r\n1373 4.9433 162(13) 168.8910 166.2537\r\n1374 4.9453 164(13) 168.7184 166.2062\r\n1375 4.9473 177(13) 168.5546 166.1587\r\n1376 4.9493 167(13) 168.3987 166.1112\r\n1377 4.9513 164(13) 168.2501 166.0638\r\n1378 4.9533 175(13) 168.1082 166.0163\r\n1379 4.9553 162(13) 167.9723 165.9689\r\n1380 4.9573 170(13) 167.8420 165.9215\r\n1381 4.9593 163(13) 166.0826 165.8741\r\n1382 4.9613 166(13) 166.0249 165.8268\r\n1383 4.9633 165(13) 165.9679 165.7794\r\n1384 4.9653 168(13) 165.9117 165.7320\r\n1385 4.9673 159(13) 165.8561 165.6847\r\n1386 4.9693 175(13) 165.8011 165.6374\r\n1387 4.9713 176(13) 165.7466 165.5901\r\n1388 4.9733 160(13) 165.6925 165.5428\r\n1389 4.9753 154(12) 165.6390 165.4956\r\n1390 4.9773 161(13) 165.5858 165.4483\r\n1391 4.9793 170(13) 165.5330 165.4011\r\n1392 4.9813 176(13) 165.3539 165.3539\r\n1393 4.9833 170(13) 165.3067 165.3067\r\n1394 4.9853 161(13) 165.2595 165.2595\r\n1395 4.9873 157(13) 165.2124 165.2124\r\n1396 4.9893 165(13) 165.1652 165.1652\r\n1397 4.9913 171(13) 165.1181 165.1181\r\n1398 4.9933 159(13) 165.0710 165.0710\r\n1399 4.9953 165(13) 165.0239 165.0239\r\n1400 4.9973 159(13) 164.9768 164.9768\r\n1401 4.9993 168(13) 164.9297 164.9297\r\n1402 5.0013 167(13) 164.8827 164.8827\r\n1403 5.0033 155(12) 164.8357 164.8357\r\n1404 5.0053 176(13) 164.7886 164.7886\r\n1405 5.0073 161(13) 164.7417 164.7417\r\n1406 5.0093 171(13) 164.6947 164.6947\r\n1407 5.0113 171(13) 164.6477 164.6477\r\n1408 5.0133 164(13) 164.6008 164.6008\r\n1409 5.0153 171(13) 164.5538 164.5538\r\n1410 5.0173 163(13) 164.5069 164.5069\r\n1411 5.0193 171(13) 164.4600 164.4600\r\n1412 5.0213 166(13) 164.4131 164.4131\r\n1413 5.0233 161(13) 164.3663 164.3663\r\n1414 5.0253 172(13) 164.3194 164.3194\r\n1415 5.0273 164(13) 164.2726 164.2726\r\n1416 5.0293 163(13) 164.2258 164.2258\r\n1417 5.0313 160(13) 164.1790 164.1790\r\n1418 5.0333 172(13) 164.1322 164.1322\r\n1419 5.0353 173(13) 164.0854 164.0854\r\n1420 5.0373 172(13) 164.0386 164.0386\r\n1421 5.0393 163(13) 163.9919 163.9919\r\n1422 5.0413 160(13) 163.9452 163.9452\r\n1423 5.0433 167(13) 163.8985 163.8985\r\n1424 5.0453 170(13) 163.8518 163.8518\r\n1425 5.0473 157(13) 163.8051 163.8051\r\n1426 5.0493 155(12) 163.7585 163.7585\r\n1427 5.0513 168(13) 163.7118 163.7118\r\n1428 5.0533 169(13) 163.6652 163.6652\r\n1429 5.0553 170(13) 163.6186 163.6186\r\n1430 5.0573 165(13) 163.5720 163.5720\r\n1431 5.0593 170(13) 163.5254 163.5254\r\n1432 5.0613 175(13) 163.4788 163.4788\r\n1433 5.0633 170(13) 163.4323 163.4323\r\n1434 5.0653 168(13) 163.3858 163.3858\r\n1435 5.0673 166(13) 163.3393 163.3393\r\n1436 5.0693 165(13) 163.2928 163.2928\r\n1437 5.0713 169(13) 165.9742 163.2463\r\n1438 5.0733 159(13) 166.0381 163.1998\r\n1439 5.0753 171(13) 166.1088 163.1534\r\n1440 5.0773 168(13) 166.1870 163.1069\r\n1441 5.0793 173(13) 166.2732 163.0605\r\n1442 5.0813 166(13) 166.3681 163.0141\r\n1443 5.0833 161(13) 166.4726 162.9677\r\n1444 5.0853 147(12) 166.5875 162.9214\r\n1445 5.0873 167(13) 166.7138 162.8750\r\n1446 5.0893 169(13) 166.8526 162.8287\r\n1447 5.0913 157(13) 167.0050 162.7824\r\n1448 5.0933 156(12) 167.1726 162.7361\r\n1449 5.0953 163(13) 167.3568 162.6898\r\n1450 5.0973 166(13) 167.5595 162.6435\r\n1451 5.0993 158(13) 167.7825 162.5972\r\n1452 5.1013 167(13) 168.0282 162.5510\r\n1453 5.1033 168(13) 168.2993 162.5048\r\n1454 5.1053 172(13) 168.5986 162.4586\r\n1455 5.1073 174(13) 168.9298 162.4124\r\n1456 5.1093 162(13) 169.2968 162.3662\r\n1457 5.1113 178(13) 169.7042 162.3200\r\n1458 5.1133 169(13) 170.1574 162.2739\r\n1459 5.1153 154(12) 170.6628 162.2278\r\n1460 5.1173 163(13) 171.2279 162.1817\r\n1461 5.1193 165(13) 171.8616 162.1356\r\n1462 5.1213 169(13) 172.5747 162.0895\r\n1463 5.1233 172(13) 173.3796 162.0434\r\n1464 5.1253 169(13) 174.2918 161.9973\r\n1465 5.1273 182(13) 175.3296 161.9513\r\n1466 5.1293 167(13) 176.5154 161.9053\r\n1467 5.1313 185(14) 177.8765 161.8593\r\n1468 5.1333 182(14) 179.4460 161.8133\r\n1469 5.1353 184(14) 181.2621 161.7673\r\n1470 5.1373 182(13) 183.3726 161.7214\r\n1471 5.1393 187(14) 185.8326 161.6754\r\n1472 5.1413 192(14) 188.7141 161.6295\r\n1473 5.1433 202(14) 192.1178 161.5836\r\n1474 5.1453 212(15) 196.2050 161.5377\r\n1475 5.1473 218(15) 201.2669 161.4918\r\n1476 5.1493 256(16) 207.8593 161.4460\r\n1477 5.1513 296(17) 217.1165 161.4001\r\n1478 5.1533 321(18) 231.4468 161.3543\r\n1479 5.1553 404(20) 256.2511 161.3085\r\n1480 5.1573 539(23) 303.7196 161.2627\r\n1481 5.1593 706(27) 398.8486 161.2169\r\n1482 5.1613 1007(32) 584.7070 161.1711\r\n1483 5.1633 1335(37) 911.8518 161.1254\r\n1484 5.1653 1624(40) 1396.7665 161.0797\r\n1485 5.1673 1907(44) 1961.0822 161.0340\r\n1486 5.1693 2206(47) 2410.0269 160.9882\r\n1487 5.1713 2026(45) 2511.3665 160.9426\r\n1488 5.1733 1729(42) 2176.5913 160.8969\r\n1489 5.1753 1510(39) 1600.7604 160.8512\r\n1490 5.1773 1214(35) 1077.2261 160.8056\r\n1491 5.1793 1026(32) 730.1384 160.7600\r\n1492 5.1813 824(29) 528.3149 160.7144\r\n1493 5.1833 642(25) 408.1681 160.6687\r\n1494 5.1853 488(22) 331.7188 160.6232\r\n1495 5.1873 439(21) 283.2797 160.5776\r\n1496 5.1893 356(19) 253.8307 160.5321\r\n1497 5.1913 289(17) 235.6344 160.4865\r\n1498 5.1933 258(16) 223.1684 160.4410\r\n1499 5.1953 241(16) 213.5868 160.3955\r\n1500 5.1973 225(15) 205.7799 160.3500\r\n1501 5.1993 215(15) 199.3492 160.3046\r\n1502 5.2013 205(14) 194.0813 160.2591\r\n1503 5.2033 186(14) 189.7770 160.2137\r\n1504 5.2053 177(13) 186.2496 160.1682\r\n1505 5.2073 185(14) 183.3323 160.1228\r\n1506 5.2093 178(13) 180.8916 160.0775\r\n1507 5.2113 183(14) 178.8253 160.0321\r\n1508 5.2133 181(13) 177.0572 159.9867\r\n1509 5.2153 182(13) 175.5314 159.9414\r\n1510 5.2173 188(14) 174.2050 159.8960\r\n1511 5.2193 187(14) 173.0461 159.8507\r\n1512 5.2213 184(14) 172.0293 159.8054\r\n1513 5.2233 174(13) 171.1347 159.7601\r\n1514 5.2253 172(13) 170.3467 159.7149\r\n1515 5.2273 187(14) 169.6531 159.6696\r\n1516 5.2293 192(14) 169.0442 159.6244\r\n1517 5.2313 192(14) 168.5138 159.5791\r\n1518 5.2333 179(13) 168.0592 159.5340\r\n1519 5.2353 179(13) 167.6836 159.4888\r\n1520 5.2373 170(13) 167.4015 159.4436\r\n1521 5.2393 177(13) 167.2497 159.3984\r\n1522 5.2413 177(13) 167.3159 159.3533\r\n1523 5.2433 181(13) 167.8023 159.3082\r\n1524 5.2453 174(13) 169.1491 159.2631\r\n1525 5.2473 189(14) 172.1833 159.2180\r\n1526 5.2493 183(14) 178.0834 159.1729\r\n1527 5.2513 201(14) 187.7618 159.1278\r\n1528 5.2533 234(15) 200.5536 159.0827\r\n1529 5.2553 248(16) 213.0848 159.0377\r\n1530 5.2573 249(16) 219.9182 158.9927\r\n1531 5.2593 244(16) 216.7217 158.9477\r\n1532 5.2613 241(16) 204.7523 158.9027\r\n1533 5.2633 208(14) 191.7254 158.8577\r\n1534 5.2653 200(14) 180.9816 158.8128\r\n1535 5.2673 185(14) 174.3092 158.7678\r\n1536 5.2693 176(13) 170.3480 158.7229\r\n1537 5.2713 165(13) 167.8514 158.6780\r\n1538 5.2733 166(13) 166.2169 158.6331\r\n1539 5.2753 164(13) 162.5000 158.5882\r\n1540 5.2773 168(13) 161.9389 158.5433\r\n1541 5.2793 168(13) 161.5882 158.4985\r\n1542 5.2813 164(13) 161.3444 158.4536\r\n1543 5.2833 163(13) 161.1606 158.4088\r\n1544 5.2853 158(13) 161.0196 158.3640\r\n1545 5.2873 160(13) 160.9152 158.3192\r\n1546 5.2893 168(13) 160.8431 158.2745\r\n1547 5.2913 168(13) 160.7994 158.2297\r\n1548 5.2933 164(13) 160.7804 158.1850\r\n1549 5.2953 167(13) 160.7836 158.1402\r\n1550 5.2973 175(13) 160.8070 158.0955\r\n1551 5.2993 172(13) 160.8496 158.0508\r\n1552 5.3013 164(13) 160.9111 158.0061\r\n1553 5.3033 166(13) 160.9920 157.9615\r\n1554 5.3053 165(13) 161.0930 157.9168\r\n1555 5.3073 153(12) 161.2156 157.8722\r\n1556 5.3093 168(13) 161.3618 157.8275\r\n1557 5.3113 169(13) 161.5340 157.7829\r\n1558 5.3133 159(13) 161.7352 157.7383\r\n1559 5.3153 176(13) 161.9695 157.6937\r\n1560 5.3173 163(13) 162.2415 157.6492\r\n1561 5.3193 176(13) 162.5573 157.6046\r\n1562 5.3213 154(12) 162.9236 157.5601\r\n1563 5.3233 165(13) 163.3492 157.5156\r\n1564 5.3253 156(12) 163.8445 157.4711\r\n1565 5.3273 150(12) 164.4221 157.4266\r\n1566 5.3293 167(13) 165.0971 157.3821\r\n1567 5.3313 175(13) 165.8874 157.3377\r\n1568 5.3333 163(13) 166.8151 157.2932\r\n1569 5.3353 164(13) 167.9101 157.2488\r\n1570 5.3373 152(12) 169.2160 157.2044\r\n1571 5.3393 166(13) 170.8075 157.1600\r\n1572 5.3413 167(13) 172.8207 157.1156\r\n1573 5.3433 164(13) 175.5201 157.0712\r\n1574 5.3453 171(13) 179.4473 157.0269\r\n1575 5.3473 181(13) 185.7666 156.9825\r\n1576 5.3493 192(14) 197.0664 156.9382\r\n1577 5.3513 210(14) 218.9532 156.8939\r\n1578 5.3533 232(15) 262.2071 156.8496\r\n1579 5.3553 312(18) 343.1971 156.8054\r\n1580 5.3573 415(20) 477.3737 156.7611\r\n1581 5.3593 632(25) 662.2799 156.7168\r\n1582 5.3613 922(30) 859.4283 156.6726\r\n1583 5.3633 1187(34) 995.1137 156.6284\r\n1584 5.3653 1268(36) 996.3090 156.5842\r\n1585 5.3673 996(32) 853.2428 156.5400\r\n1586 5.3693 659(26) 647.5216 156.4958\r\n1587 5.3713 429(21) 471.5281 156.4517\r\n1588 5.3733 298(17) 355.8891 156.4075\r\n1589 5.3753 255(16) 286.9830 156.3634\r\n1590 5.3773 208(14) 244.6963 156.3193\r\n1591 5.3793 183(14) 217.5181 156.2752\r\n1592 5.3813 177(13) 200.3443 156.2311\r\n1593 5.3833 183(14) 189.8878 156.1871\r\n1594 5.3853 177(13) 183.3761 156.1430\r\n1595 5.3873 180(13) 178.8810 156.0990\r\n1596 5.3893 163(13) 175.4149 156.0549\r\n1597 5.3913 158(13) 172.5827 156.0109\r\n1598 5.3933 169(13) 170.2389 155.9670\r\n1599 5.3953 160(13) 168.3050 155.9230\r\n1600 5.3973 162(13) 166.7119 155.8790\r\n1601 5.3993 163(13) 165.3948 155.8351\r\n1602 5.4013 163(13) 164.2955 155.7911\r\n1603 5.4033 164(13) 163.3674 155.7472\r\n1604 5.4053 157(13) 162.5741 155.7033\r\n1605 5.4073 154(12) 161.8881 155.6594\r\n1606 5.4093 160(13) 161.2890 155.6156\r\n1607 5.4113 149(12) 160.7611 155.5717\r\n1608 5.4133 159(13) 160.2926 155.5278\r\n1609 5.4153 151(12) 159.8742 155.4840\r\n1610 5.4173 147(12) 159.4980 155.4402\r\n1611 5.4193 143(12) 159.1581 155.3964\r\n1612 5.4213 155(12) 158.8494 155.3526\r\n1613 5.4233 154(12) 158.5675 155.3089\r\n1614 5.4253 164(13) 158.3091 155.2651\r\n1615 5.4273 154(12) 158.0712 155.2214\r\n1616 5.4293 156(13) 157.8512 155.1776\r\n1617 5.4313 149(12) 157.6471 155.1339\r\n1618 5.4333 153(12) 157.4570 155.0902\r\n1619 5.4353 158(13) 157.2792 155.0466\r\n1620 5.4373 156(12) 157.1125 155.0029\r\n1621 5.4393 154(12) 156.9557 154.9592\r\n1622 5.4413 163(13) 156.8078 154.9156\r\n1623 5.4433 159(13) 156.6678 154.8720\r\n1624 5.4453 158(13) 156.5350 154.8284\r\n1625 5.4473 151(12) 156.4087 154.7848\r\n1626 5.4493 156(12) 156.2883 154.7412\r\n1627 5.4513 151(12) 156.1732 154.6976\r\n1628 5.4533 153(12) 156.0629 154.6541\r\n1629 5.4553 161(13) 155.9571 154.6106\r\n1630 5.4573 167(13) 155.8553 154.5670\r\n1631 5.4593 156(12) 155.7573 154.5235\r\n1632 5.4613 140(12) 155.6626 154.4801\r\n1633 5.4633 144(12) 155.5711 154.4366\r\n1634 5.4653 164(13) 155.4824 154.3931\r\n1635 5.4673 159(13) 155.3964 154.3497\r\n1636 5.4693 150(12) 155.3129 154.3062\r\n1637 5.4713 157(13) 154.2628 154.2628\r\n1638 5.4733 155(12) 154.2194 154.2194\r\n1639 5.4753 156(12) 154.1760 154.1760\r\n1640 5.4773 160(13) 154.1327 154.1327\r\n1641 5.4793 154(12) 154.0893 154.0893\r\n1642 5.4813 153(12) 154.0460 154.0460\r\n1643 5.4833 162(13) 154.0026 154.0026\r\n1644 5.4853 145(12) 153.9593 153.9593\r\n1645 5.4873 153(12) 153.9160 153.9160\r\n1646 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152.8383 152.8383\r\n1671 5.5393 149(12) 152.7954 152.7954\r\n1672 5.5413 163(13) 152.7525 152.7525\r\n1673 5.5433 156(12) 152.7096 152.7096\r\n1674 5.5453 158(13) 152.6667 152.6667\r\n1675 5.5473 162(13) 152.6238 152.6238\r\n1676 5.5493 151(12) 152.5810 152.5810\r\n1677 5.5513 159(13) 152.5381 152.5381\r\n1678 5.5533 162(13) 152.4953 152.4953\r\n1679 5.5553 150(12) 152.4525 152.4525\r\n1680 5.5573 158(13) 152.4097 152.4097\r\n1681 5.5593 163(13) 152.3669 152.3669\r\n1682 5.5613 156(12) 152.3242 152.3242\r\n1683 5.5633 148(12) 152.2814 152.2814\r\n1684 5.5653 162(13) 152.2387 152.2387\r\n1685 5.5673 156(12) 152.1960 152.1960\r\n1686 5.5693 157(13) 152.1533 152.1533\r\n1687 5.5713 154(12) 152.1106 152.1106\r\n1688 5.5733 154(12) 152.0679 152.0679\r\n1689 5.5753 146(12) 152.0253 152.0253\r\n1690 5.5773 156(13) 151.9826 151.9826\r\n1691 5.5793 158(13) 151.9400 151.9400\r\n1692 5.5813 147(12) 151.8973 151.8973\r\n1693 5.5833 147(12) 151.8547 151.8547\r\n1694 5.5853 155(12) 151.8121 151.8121\r\n1695 5.5873 145(12) 151.7696 151.7696\r\n1696 5.5893 164(13) 151.7270 151.7270\r\n1697 5.5913 155(12) 151.6845 151.6845\r\n1698 5.5933 165(13) 151.8537 151.6419\r\n1699 5.5953 161(13) 151.8193 151.5994\r\n1700 5.5973 164(13) 151.7854 151.5569\r\n1701 5.5993 166(13) 151.7521 151.5144\r\n1702 5.6013 153(12) 151.7193 151.4719\r\n1703 5.6033 164(13) 151.6872 151.4295\r\n1704 5.6053 151(12) 151.7526 151.3870\r\n1705 5.6073 169(13) 151.7256 151.3446\r\n1706 5.6093 162(13) 151.6996 151.3022\r\n1707 5.6113 177(13) 151.6747 151.2598\r\n1708 5.6133 159(13) 151.6510 151.2174\r\n1709 5.6153 159(13) 151.6286 151.1750\r\n1710 5.6173 153(12) 151.6076 151.1326\r\n1711 5.6193 154(12) 151.5882 151.0903\r\n1712 5.6213 158(13) 151.5706 151.0479\r\n1713 5.6233 155(12) 151.5548 151.0056\r\n1714 5.6253 158(13) 151.5411 150.9633\r\n1715 5.6273 160(13) 151.5297 150.9210\r\n1716 5.6293 155(12) 151.5209 150.8788\r\n1717 5.6313 160(13) 151.5150 150.8365\r\n1718 5.6333 155(12) 151.5123 150.7943\r\n1719 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161.8855 149.7426\r\n1744 5.6853 162(13) 168.7159 149.7007\r\n1745 5.6873 173(13) 181.4729 149.6588\r\n1746 5.6893 178(13) 203.3360 149.6170\r\n1747 5.6913 210(14) 235.8430 149.5751\r\n1748 5.6933 254(16) 275.6190 149.5333\r\n1749 5.6953 308(18) 312.5936 149.4915\r\n1750 5.6973 359(19) 332.9111 149.4497\r\n1751 5.6993 339(18) 327.3980 149.4079\r\n1752 5.7013 289(17) 302.0010 149.3661\r\n1753 5.7033 266(16) 275.3578 149.3244\r\n1754 5.7053 244(16) 260.7096 149.2826\r\n1755 5.7073 249(16) 257.2010 149.2409\r\n1756 5.7093 259(16) 255.5762 149.1992\r\n1757 5.7113 246(16) 246.7422 149.1575\r\n1758 5.7133 219(15) 228.4270 149.1158\r\n1759 5.7153 202(14) 206.5437 149.0741\r\n1760 5.7173 181(13) 188.1390 149.0325\r\n1761 5.7193 172(13) 175.5309 148.9908\r\n1762 5.7213 151(12) 167.5307 148.9492\r\n1763 5.7233 167(13) 162.3442 148.9076\r\n1764 5.7253 159(13) 158.8441 148.8660\r\n1765 5.7273 155(12) 156.4828 148.8244\r\n1766 5.7293 152(12) 154.9133 148.7828\r\n1767 5.7313 148(12) 153.8484 148.7412\r\n1768 5.7333 156(13) 153.0734 148.6997\r\n1769 5.7353 150(12) 152.4624 148.6582\r\n1770 5.7373 147(12) 151.9547 148.6166\r\n1771 5.7393 145(12) 151.5235 148.5751\r\n1772 5.7413 143(12) 151.1543 148.5336\r\n1773 5.7433 154(12) 150.8365 148.4921\r\n1774 5.7453 153(12) 150.5612 148.4507\r\n1775 5.7473 145(12) 150.3204 148.4092\r\n1776 5.7493 148(12) 150.1077 148.3678\r\n1777 5.7513 151(12) 149.9178 148.3264\r\n1778 5.7533 146(12) 149.7468 148.2849\r\n1779 5.7553 152(12) 149.5912 148.2435\r\n1780 5.7573 147(12) 149.4488 148.2022\r\n1781 5.7593 143(12) 149.3175 148.1608\r\n1782 5.7613 144(12) 149.1957 148.1194\r\n1783 5.7633 144(12) 149.0821 148.0781\r\n1784 5.7653 149(12) 148.9756 148.0368\r\n1785 5.7673 142(12) 148.8752 147.9955\r\n1786 5.7693 148(12) 148.7803 147.9541\r\n1787 5.7713 149(12) 148.6902 147.9129\r\n1788 5.7733 153(12) 148.6044 147.8716\r\n1789 5.7753 164(13) 148.5223 147.8303\r\n1790 5.7773 149(12) 148.4435 147.7891\r\n1791 5.7793 147(12) 148.3678 147.7479\r\n1792 5.7813 136(12) 148.2947 147.7066\r\n1793 5.7833 149(12) 148.2240 147.6654\r\n1794 5.7853 151(12) 148.1556 147.6243\r\n1795 5.7873 154(12) 148.0891 147.5831\r\n1796 5.7893 152(12) 148.0243 147.5419\r\n1797 5.7913 141(12) 147.9612 147.5007\r\n1798 5.7933 153(12) 147.8996 147.4596\r\n1799 5.7953 161(13) 147.8394 147.4185\r\n1800 5.7973 140(12) 147.7804 147.3774\r\n1801 5.7993 140(12) 147.7225 147.3363\r\n1802 5.8013 139(12) 147.6656 147.2952\r\n1803 5.8033 146(12) 147.6098 147.2541\r\n1804 5.8053 139(12) 147.5548 147.2131\r\n1805 5.8073 147(12) 147.5006 147.1720\r\n1806 5.8093 136(12) 147.2484 147.1310\r\n1807 5.8113 146(12) 147.2027 147.0900\r\n1808 5.8133 138(12) 147.1573 147.0490\r\n1809 5.8153 143(12) 147.1122 147.0080\r\n1810 5.8173 146(12) 147.0673 146.9671\r\n1811 5.8193 145(12) 147.0226 146.9261\r\n1812 5.8213 150(12) 146.8851 146.8851\r\n1813 5.8233 137(12) 146.8442 146.8442\r\n1814 5.8253 146(12) 146.8033 146.8033\r\n1815 5.8273 141(12) 146.7624 146.7624\r\n1816 5.8293 152(12) 146.7215 146.7215\r\n1817 5.8313 159(13) 146.6806 146.6806\r\n1818 5.8333 161(13) 146.6398 146.6398\r\n1819 5.8353 146(12) 146.5989 146.5989\r\n1820 5.8373 140(12) 146.5581 146.5581\r\n1821 5.8393 145(12) 146.5173 146.5173\r\n1822 5.8413 152(12) 147.0508 146.4764\r\n1823 5.8433 143(12) 147.0315 146.4356\r\n1824 5.8453 147(12) 147.0135 146.3949\r\n1825 5.8473 145(12) 146.9968 146.3541\r\n1826 5.8493 147(12) 146.9815 146.3133\r\n1827 5.8513 158(13) 146.9678 146.2726\r\n1828 5.8533 134(12) 146.9558 146.2319\r\n1829 5.8553 139(12) 146.9456 146.1912\r\n1830 5.8573 148(12) 146.9374 146.1505\r\n1831 5.8593 149(12) 146.9314 146.1098\r\n1832 5.8613 152(12) 146.9276 146.0691\r\n1833 5.8633 149(12) 146.9265 146.0284\r\n1834 5.8653 147(12) 146.9281 145.9878\r\n1835 5.8673 141(12) 146.9328 145.9472\r\n1836 5.8693 153(12) 146.9409 145.9066\r\n1837 5.8713 151(12) 146.9527 145.8659\r\n1838 5.8733 145(12) 146.9686 145.8253\r\n1839 5.8753 139(12) 146.9890 145.7848\r\n1840 5.8773 149(12) 147.0143 145.7442\r\n1841 5.8793 152(12) 147.0453 145.7037\r\n1842 5.8813 150(12) 147.0825 145.6631\r\n1843 5.8833 151(12) 147.1266 145.6226\r\n1844 5.8853 148(12) 147.1785 145.5821\r\n1845 5.8873 154(12) 147.2391 145.5416\r\n1846 5.8893 153(12) 147.3097 145.5011\r\n1847 5.8913 155(12) 147.3914 145.4606\r\n1848 5.8933 150(12) 147.4860 145.4202\r\n1849 5.8953 143(12) 147.5951 145.3797\r\n1850 5.8973 151(12) 147.7210 145.3393\r\n1851 5.8993 152(12) 147.8663 145.2988\r\n1852 5.9013 147(12) 148.0339 145.2585\r\n1853 5.9033 138(12) 148.2276 145.2181\r\n1854 5.9053 149(12) 148.4517 145.1777\r\n1855 5.9073 140(12) 148.7114 145.1373\r\n1856 5.9093 143(12) 149.0130 145.0970\r\n1857 5.9113 151(12) 149.3636 145.0566\r\n1858 5.9133 152(12) 149.7721 145.0163\r\n1859 5.9153 149(12) 150.2491 144.9760\r\n1860 5.9173 148(12) 150.8086 144.9357\r\n1861 5.9193 160(13) 151.4706 144.8954\r\n1862 5.9213 150(12) 152.2671 144.8552\r\n1863 5.9233 159(13) 153.2523 144.8149\r\n1864 5.9253 169(13) 154.5246 144.7746\r\n1865 5.9273 167(13) 156.2735 144.7344\r\n1866 5.9293 180(13) 158.8791 144.6942\r\n1867 5.9313 181(13) 163.1428 144.6540\r\n1868 5.9333 201(14) 170.7514 144.6138\r\n1869 5.9353 238(15) 185.0437 144.5736\r\n1870 5.9373 270(16) 211.7639 144.5335\r\n1871 5.9393 318(18) 258.5648 144.4933\r\n1872 5.9413 409(20) 331.4014 144.4532\r\n1873 5.9433 490(22) 427.4819 144.4130\r\n1874 5.9453 574(24) 528.6765 144.3729\r\n1875 5.9473 590(24) 602.6764 144.3329\r\n1876 5.9493 560(24) 616.1407 144.2928\r\n1877 5.9513 554(24) 559.6047 144.2527\r\n1878 5.9533 480(22) 459.9454 144.2126\r\n1879 5.9553 402(20) 361.9420 144.1726\r\n1880 5.9573 372(19) 288.7612 144.1326\r\n1881 5.9593 309(18) 240.7438 144.0925\r\n1882 5.9613 283(17) 209.9789 144.0526\r\n1883 5.9633 225(15) 189.8441 144.0125\r\n1884 5.9653 211(15) 176.7196 143.9725\r\n1885 5.9673 184(14) 168.4762 143.9326\r\n1886 5.9693 182(13) 163.4135 143.8926\r\n1887 5.9713 175(13) 160.1802 143.8527\r\n1888 5.9733 168(13) 157.9043 143.8128\r\n1889 5.9753 160(13) 156.1417 143.7729\r\n1890 5.9773 164(13) 154.7066 143.7330\r\n1891 5.9793 150(12) 153.5231 143.6931\r\n1892 5.9813 160(13) 152.5510 143.6532\r\n1893 5.9833 158(13) 151.7571 143.6134\r\n1894 5.9853 148(12) 151.1112 143.5735\r\n1895 5.9873 154(12) 150.5866 143.5337\r\n1896 5.9893 147(12) 150.1611 143.4939\r\n1897 5.9913 141(12) 149.8176 143.4540\r\n1898 5.9933 153(12) 149.5431 143.4142\r\n1899 5.9953 144(12) 149.3279 143.3745\r\n1900 5.9973 152(12) 149.1650 143.3347\r\n1901 5.9993 162(13) 149.0496 143.2950\r\n1902 6.0013 138(12) 148.9783 143.2552\r\n1903 6.0033 145(12) 148.9492 143.2155\r\n1904 6.0053 146(12) 148.9615 143.1758\r\n1905 6.0073 153(12) 152.1532 143.1361\r\n1906 6.0093 146(12) 152.3638 143.0964\r\n1907 6.0113 157(13) 152.6255 143.0567\r\n1908 6.0133 148(12) 152.9420 143.0170\r\n1909 6.0153 146(12) 153.3184 142.9774\r\n1910 6.0173 147(12) 153.7606 142.9378\r\n1911 6.0193 151(12) 154.2767 142.8981\r\n1912 6.0213 142(12) 154.8762 142.8585\r\n1913 6.0233 147(12) 155.5704 142.8189\r\n1914 6.0253 142(12) 156.3734 142.7793\r\n1915 6.0273 148(12) 157.3020 142.7398\r\n1916 6.0293 160(13) 158.3781 142.7002\r\n1917 6.0313 154(12) 159.6313 142.6607\r\n1918 6.0333 139(12) 161.1059 142.6211\r\n1919 6.0353 160(13) 162.8761 142.5816\r\n1920 6.0373 167(13) 165.0707 142.5421\r\n1921 6.0393 165(13) 167.9283 142.5026\r\n1922 6.0413 186(14) 171.9155 142.4632\r\n1923 6.0433 183(14) 177.9849 142.4237\r\n1924 6.0453 193(14) 188.1399 142.3842\r\n1925 6.0473 224(15) 206.4417 142.3448\r\n1926 6.0493 261(16) 240.3669 142.3054\r\n1927 6.0513 319(18) 301.3062 142.2660\r\n1928 6.0533 403(20) 401.6077 142.2265\r\n1929 6.0553 598(24) 545.8233 142.1872\r\n1930 6.0573 727(27) 718.3997 142.1478\r\n1931 6.0593 814(29) 877.6451 142.1084\r\n1932 6.0613 828(29) 966.0068 142.0691\r\n1933 6.0633 809(28) 938.7661 142.0297\r\n1934 6.0653 701(26) 806.0359 141.9904\r\n1935 6.0673 587(24) 632.4656 141.9511\r\n1936 6.0693 474(22) 481.2511 141.9118\r\n1937 6.0713 387(20) 374.3652 141.8725\r\n1938 6.0733 321(18) 305.2232 141.8333\r\n1939 6.0753 276(17) 260.8636 141.7940\r\n1940 6.0773 239(15) 232.3194 141.7548\r\n1941 6.0793 216(15) 214.7085 141.7155\r\n1942 6.0813 208(14) 204.7874 141.6763\r\n1943 6.0833 187(14) 199.8875 141.6371\r\n1944 6.0853 185(14) 198.0197 141.5979\r\n1945 6.0873 186(14) 198.0342 141.5587\r\n1946 6.0893 185(14) 199.4766 141.5196\r\n1947 6.0913 184(14) 202.8060 141.4804\r\n1948 6.0933 184(14) 207.4528 141.4413\r\n1949 6.0953 186(14) 214.6154 141.4021\r\n1950 6.0973 212(15) 225.8524 141.3630\r\n1951 6.0993 223(15) 244.4147 141.3239\r\n1952 6.1013 253(16) 277.1564 141.2848\r\n1953 6.1033 296(17) 337.8810 141.2458\r\n1954 6.1053 362(19) 451.4770 141.2067\r\n1955 6.1073 494(22) 654.8156 141.1676\r\n1956 6.1093 720(27) 985.6794 141.1286\r\n1957 6.1113 1149(34) 1454.1710 141.0896\r\n1958 6.1133 1864(43) 2004.5343 141.0506\r\n1959 6.1153 2745(52) 2500.3540 141.0116\r\n1960 6.1173 3351(58) 2760.0117 140.9726\r\n1961 6.1193 3203(57) 2651.4878 140.9336\r\n1962 6.1213 2337(48) 2214.3809 140.8947\r\n1963 6.1233 1571(40) 1658.2791 140.8557\r\n1964 6.1253 1004(32) 1176.9550 140.8168\r\n1965 6.1273 659(26) 835.0669 140.7778\r\n1966 6.1293 464(22) 610.7667 140.7389\r\n1967 6.1313 359(19) 463.8954 140.7001\r\n1968 6.1333 292(17) 366.5783 140.6611\r\n1969 6.1353 260(16) 303.4092 140.6223\r\n1970 6.1373 233(15) 263.8809 140.5834\r\n1971 6.1393 217(15) 239.3161 140.5446\r\n1972 6.1413 201(14) 223.1414 140.5058\r\n1973 6.1433 194(14) 211.3691 140.4669\r\n1974 6.1453 181(13) 202.0476 140.4281\r\n1975 6.1473 166(13) 194.3595 140.3893\r\n1976 6.1493 155(12) 187.9593 140.3505\r\n1977 6.1513 171(13) 182.6423 140.3118\r\n1978 6.1533 159(13) 178.2351 140.2730\r\n1979 6.1553 156(12) 174.5808 140.2343\r\n1980 6.1573 154(12) 171.5420 140.1955\r\n1981 6.1593 165(13) 169.0052 140.1568\r\n1982 6.1613 162(13) 166.8829 140.1181\r\n1983 6.1633 160(13) 165.1067 140.0794\r\n1984 6.1653 167(13) 163.6276 140.0408\r\n1985 6.1673 147(12) 162.4090 140.0021\r\n1986 6.1693 151(12) 161.4261 139.9634\r\n1987 6.1713 164(13) 160.6638 139.9248\r\n1988 6.1733 150(12) 160.1178 139.8862\r\n1989 6.1753 162(13) 159.7987 139.8476\r\n1990 6.1773 157(13) 158.7945 139.8090\r\n1991 6.1793 167(13) 159.1021 139.7704\r\n1992 6.1813 160(13) 159.8971 139.7318\r\n1993 6.1833 165(13) 161.5012 139.6932\r\n1994 6.1853 159(13) 164.5908 139.6547\r\n1995 6.1873 168(13) 170.5560 139.6161\r\n1996 6.1893 191(14) 182.0605 139.5776\r\n1997 6.1913 226(15) 203.4891 139.5391\r\n1998 6.1933 274(17) 240.4702 139.5006\r\n1999 6.1953 332(18) 297.2138 139.4621\r\n2000 6.1973 410(20) 371.5931 139.4236\r\n2001 6.1993 511(23) 450.6836 139.3852\r\n2002 6.2013 530(23) 511.3844 139.3467\r\n2003 6.2033 527(23) 528.7288 139.3083\r\n2004 6.2053 483(22) 491.9908 139.2699\r\n2005 6.2073 422(21) 418.0302 139.2314\r\n2006 6.2093 357(19) 339.0471 139.1931\r\n2007 6.2113 289(17) 276.0585 139.1547\r\n2008 6.2133 238(15) 232.6257 139.1163\r\n2009 6.2153 208(14) 204.0275 139.0779\r\n2010 6.2173 203(14) 185.0196 139.0396\r\n2011 6.2193 180(13) 172.3596 139.0012\r\n2012 6.2213 155(12) 164.1566 138.9629\r\n2013 6.2233 151(12) 158.9868 138.9246\r\n2014 6.2253 150(12) 155.6729 138.8863\r\n2015 6.2273 152(12) 153.3773 138.8480\r\n2016 6.2293 151(12) 151.6235 138.8097\r\n2017 6.2313 147(12) 150.1860 138.7715\r\n2018 6.2333 155(12) 145.8952 138.7332\r\n2019 6.2353 155(12) 144.9659 138.6950\r\n2020 6.2373 150(12) 144.1832 138.6568\r\n2021 6.2393 144(12) 143.5229 138.6186\r\n2022 6.2413 145(12) 142.9625 138.5804\r\n2023 6.2433 144(12) 142.4834 138.5422\r\n2024 6.2453 149(12) 142.0694 138.5040\r\n2025 6.2473 139(12) 141.7080 138.4659\r\n2026 6.2493 146(12) 141.3895 138.4277\r\n2027 6.2513 151(12) 141.1062 138.3896\r\n2028 6.2533 154(12) 140.8522 138.3515\r\n2029 6.2553 145(12) 140.6231 138.3133\r\n2030 6.2573 156(13) 140.4150 138.2753\r\n2031 6.2593 149(12) 140.2249 138.2372\r\n2032 6.2613 142(12) 140.0505 138.1991\r\n2033 6.2633 141(12) 139.8895 138.1610\r\n2034 6.2653 148(12) 139.7404 138.1230\r\n2035 6.2673 136(12) 139.6015 138.0849\r\n2036 6.2693 140(12) 139.4719 138.0469\r\n2037 6.2713 141(12) 139.3502 138.0089\r\n2038 6.2733 142(12) 139.2357 137.9709\r\n2039 6.2753 140(12) 139.1276 137.9330\r\n2040 6.2773 141(12) 139.0251 137.8950\r\n2041 6.2793 136(12) 138.9277 137.8570\r\n2042 6.2813 139(12) 138.8349 137.8191\r\n2043 6.2833 143(12) 138.7462 137.7811\r\n2044 6.2853 140(12) 138.6612 137.7432\r\n2045 6.2873 132(12) 138.5796 137.7053\r\n2046 6.2893 144(12) 138.5010 137.6674\r\n2047 6.2913 144(12) 138.4252 137.6295\r\n2048 6.2933 144(12) 138.3519 137.5916\r\n2049 6.2953 140(12) 138.2810 137.5538\r\n2050 6.2973 143(12) 138.2122 137.5159\r\n2051 6.2993 141(12) 138.1453 137.4781\r\n2052 6.3013 126(11) 138.0803 137.4403\r\n2053 6.3033 138(12) 138.0168 137.4025\r\n2054 6.3053 137(12) 137.9549 137.3647\r\n2055 6.3073 138(12) 137.8944 137.3269\r\n2056 6.3093 151(12) 137.8351 137.2891\r\n2057 6.3113 145(12) 137.7771 137.2514\r\n2058 6.3133 137(12) 137.7203 137.2136\r\n2059 6.3153 142(12) 137.6644 137.1759\r\n2060 6.3173 130(11) 137.6095 137.1382\r\n2061 6.3193 134(12) 137.5555 137.1004\r\n2062 6.3213 136(12) 137.0628 137.0628\r\n2063 6.3233 140(12) 137.0251 137.0251\r\n2064 6.3253 137(12) 136.9874 136.9874\r\n2065 6.3273 143(12) 136.9497 136.9497\r\n2066 6.3293 142(12) 136.9121 136.9121\r\n2067 6.3313 143(12) 136.8745 136.8745\r\n2068 6.3333 136(12) 136.8368 136.8368\r\n2069 6.3353 145(12) 136.7992 136.7992\r\n2070 6.3373 138(12) 136.7616 136.7616\r\n2071 6.3393 137(12) 136.7240 136.7240\r\n2072 6.3413 144(12) 136.6865 136.6865\r\n2073 6.3433 136(12) 136.6489 136.6489\r\n2074 6.3453 135(12) 136.6114 136.6114\r\n2075 6.3473 138(12) 136.5738 136.5738\r\n2076 6.3493 136(12) 136.5363 136.5363\r\n2077 6.3513 138(12) 136.4988 136.4988\r\n2078 6.3533 137(12) 136.4613 136.4613\r\n2079 6.3553 130(11) 136.4238 136.4238\r\n2080 6.3573 139(12) 136.3863 136.3863\r\n2081 6.3593 133(12) 136.3488 136.3488\r\n2082 6.3613 135(12) 136.3114 136.3114\r\n2083 6.3633 135(12) 136.2740 136.2740\r\n2084 6.3653 137(12) 136.2365 136.2365\r\n2085 6.3673 140(12) 136.1991 136.1991\r\n2086 6.3693 134(12) 136.1617 136.1617\r\n2087 6.3713 128(11) 136.1243 136.1243\r\n2088 6.3733 140(12) 136.0870 136.0870\r\n2089 6.3753 133(12) 136.0496 136.0496\r\n2090 6.3773 130(11) 136.0123 136.0123\r\n2091 6.3793 143(12) 135.9749 135.9749\r\n2092 6.3813 140(12) 135.9376 135.9376\r\n2093 6.3833 142(12) 135.9003 135.9003\r\n2094 6.3853 150(12) 135.8630 135.8630\r\n2095 6.3873 148(12) 135.8257 135.8257\r\n2096 6.3893 136(12) 135.7884 135.7884\r\n2097 6.3913 139(12) 135.7511 135.7511\r\n2098 6.3933 134(12) 135.7139 135.7139\r\n2099 6.3953 142(12) 135.6766 135.6766\r\n2100 6.3973 141(12) 135.6394 135.6394\r\n2101 6.3993 141(12) 135.6022 135.6022\r\n2102 6.4013 147(12) 135.5650 135.5650\r\n2103 6.4033 158(13) 135.5278 135.5278\r\n2104 6.4053 136(12) 135.4906 135.4906\r\n2105 6.4073 141(12) 135.4535 135.4535\r\n2106 6.4093 131(11) 135.4163 135.4163\r\n2107 6.4113 131(11) 135.3792 135.3792\r\n2108 6.4133 140(12) 135.3420 135.3420\r\n2109 6.4153 134(12) 135.3049 135.3049\r\n2110 6.4173 146(12) 135.2678 135.2678\r\n2111 6.4193 133(12) 135.2307 135.2307\r\n2112 6.4213 144(12) 135.1936 135.1936\r\n2113 6.4233 132(11) 135.1566 135.1566\r\n2114 6.4253 138(12) 135.1195 135.1195\r\n2115 6.4273 143(12) 135.0824 135.0824\r\n2116 6.4293 140(12) 135.0454 135.0454\r\n2117 6.4313 131(11) 135.0084 135.0084\r\n2118 6.4333 135(12) 134.9714 134.9714\r\n2119 6.4353 128(11) 134.9344 134.9344\r\n2120 6.4373 142(12) 134.8974 134.8974\r\n2121 6.4393 136(12) 134.8604 134.8604\r\n2122 6.4413 136(12) 134.8235 134.8235\r\n2123 6.4433 135(12) 134.7865 134.7865\r\n2124 6.4453 130(11) 134.7496 134.7496\r\n2125 6.4473 133(12) 134.7127 134.7127\r\n2126 6.4493 137(12) 134.6758 134.6758\r\n2127 6.4513 135(12) 134.6389 134.6389\r\n2128 6.4533 146(12) 134.6020 134.6020\r\n2129 6.4553 146(12) 134.5651 134.5651\r\n2130 6.4573 132(11) 134.5282 134.5282\r\n2131 6.4593 140(12) 134.4914 134.4914\r\n2132 6.4613 142(12) 134.4545 134.4545\r\n2133 6.4633 138(12) 134.4177 134.4177\r\n2134 6.4653 143(12) 134.3809 134.3809\r\n2135 6.4673 144(12) 134.3441 134.3441\r\n2136 6.4693 143(12) 134.3073 134.3073\r\n2137 6.4713 146(12) 134.2705 134.2705\r\n2138 6.4733 134(12) 134.2338 134.2338\r\n2139 6.4753 135(12) 134.1970 134.1970\r\n2140 6.4773 140(12) 134.1603 134.1603\r\n2141 6.4793 139(12) 134.1235 134.1235\r\n2142 6.4813 147(12) 134.0868 134.0868\r\n2143 6.4833 141(12) 134.0501 134.0501\r\n2144 6.4853 146(12) 134.0134 134.0134\r\n2145 6.4873 130(11) 133.9767 133.9767\r\n2146 6.4893 136(12) 133.9401 133.9401\r\n2147 6.4913 144(12) 136.8154 133.9034\r\n2148 6.4933 137(12) 136.8788 133.8668\r\n2149 6.4953 142(12) 136.9474 133.8301\r\n2150 6.4973 154(12) 137.0216 133.7935\r\n2151 6.4993 145(12) 137.1018 133.7569\r\n2152 6.5013 146(12) 137.1885 133.7203\r\n2153 6.5033 151(12) 137.2822 133.6837\r\n2154 6.5053 153(12) 137.3833 133.6471\r\n2155 6.5073 150(12) 137.4925 133.6106\r\n2156 6.5093 129(11) 137.6104 133.5740\r\n2157 6.5113 148(12) 137.7376 133.5375\r\n2158 6.5133 159(13) 137.8751 133.5010\r\n2159 6.5153 153(12) 138.0235 133.4645\r\n2160 6.5173 143(12) 138.1840 133.4280\r\n2161 6.5193 155(12) 138.3575 133.3915\r\n2162 6.5213 142(12) 138.5451 133.3550\r\n2163 6.5233 158(13) 138.7483 133.3185\r\n2164 6.5253 140(12) 138.9683 133.2821\r\n2165 6.5273 149(12) 139.2070 133.2457\r\n2166 6.5293 146(12) 139.4662 133.2092\r\n2167 6.5313 157(13) 139.7478 133.1728\r\n2168 6.5333 150(12) 140.0541 133.1364\r\n2169 6.5353 145(12) 140.3879 133.1000\r\n2170 6.5373 140(12) 140.7521 133.0636\r\n2171 6.5393 140(12) 141.1502 133.0273\r\n2172 6.5413 140(12) 141.5860 132.9909\r\n2173 6.5433 137(12) 142.0642 132.9545\r\n2174 6.5453 158(13) 142.5896 132.9182\r\n2175 6.5473 158(13) 143.1684 132.8819\r\n2176 6.5493 143(12) 143.8075 132.8456\r\n2177 6.5513 155(12) 144.5149 132.8093\r\n2178 6.5533 148(12) 145.3002 132.7730\r\n2179 6.5553 152(12) 146.1748 132.7367\r\n2180 6.5573 152(12) 147.2301 132.7005\r\n2181 6.5593 153(12) 148.3265 132.6642\r\n2182 6.5613 142(12) 149.5586 132.6280\r\n2183 6.5633 160(13) 150.9479 132.5918\r\n2184 6.5653 157(13) 152.5196 132.5556\r\n2185 6.5673 167(13) 154.3031 132.5194\r\n2186 6.5693 154(12) 156.3344 132.4831\r\n2187 6.5713 158(13) 158.6538 132.4470\r\n2188 6.5733 160(13) 161.3155 132.4108\r\n2189 6.5753 141(12) 164.3912 132.3747\r\n2190 6.5773 165(13) 167.9857 132.3385\r\n2191 6.5793 168(13) 172.2632 132.3024\r\n2192 6.5813 177(13) 177.5000 132.2663\r\n2193 6.5833 181(13) 184.1710 132.2302\r\n2194 6.5853 196(14) 193.1629 132.1941\r\n2195 6.5873 212(15) 206.1885 132.1580\r\n2196 6.5893 234(15) 226.6645 132.1219\r\n2197 6.5913 281(17) 261.3637 132.0859\r\n2198 6.5933 350(19) 322.9538 132.0498\r\n2199 6.5953 454(21) 432.5469 132.0138\r\n2200 6.5973 639(25) 618.6951 131.9778\r\n2201 6.5993 879(30) 908.4639 131.9418\r\n2202 6.6013 1288(36) 1306.8947 131.9057\r\n2203 6.6033 1757(42) 1772.7375 131.8698\r\n2204 6.6053 2138(46) 2208.3743 131.8338\r\n2205 6.6073 2322(48) 2480.4536 131.7978\r\n2206 6.6093 2238(47) 2476.0300 131.7619\r\n2207 6.6113 2017(45) 2185.2617 131.7259\r\n2208 6.6133 1657(41) 1734.7588 131.6900\r\n2209 6.6153 1269(36) 1288.2108 131.6541\r\n2210 6.6173 963(31) 935.1208 131.6182\r\n2211 6.6193 709(27) 685.5657 131.5823\r\n2212 6.6213 539(23) 515.4333 131.5464\r\n2213 6.6233 417(20) 399.7174 131.5105\r\n2214 6.6253 331(18) 321.7172 131.4747\r\n2215 6.6273 275(17) 270.7625 131.4388\r\n2216 6.6293 233(15) 238.4976 131.4030\r\n2217 6.6313 202(14) 217.9851 131.3672\r\n2218 6.6333 200(14) 204.1628 131.3314\r\n2219 6.6353 180(13) 193.9634 131.2956\r\n2220 6.6373 171(13) 185.8473 131.2598\r\n2221 6.6393 169(13) 179.1203 131.2240\r\n2222 6.6413 161(13) 173.4738 131.1883\r\n2223 6.6433 159(13) 168.7318 131.1525\r\n2224 6.6453 148(12) 164.7569 131.1168\r\n2225 6.6473 161(13) 161.4260 131.0810\r\n2226 6.6493 146(12) 158.6378 131.0453\r\n2227 6.6513 144(12) 156.3079 131.0096\r\n2228 6.6533 138(12) 154.3813 130.9739\r\n2229 6.6553 157(13) 152.8404 130.9382\r\n2230 6.6573 150(12) 151.7239 130.9026\r\n2231 6.6593 139(12) 151.1669 130.8669\r\n2232 6.6613 148(12) 151.4641 130.8313\r\n2233 6.6633 146(12) 153.1354 130.7956\r\n2234 6.6653 147(12) 156.9177 130.7600\r\n2235 6.6673 153(12) 163.5498 130.7244\r\n2236 6.6693 152(12) 173.2632 130.6888\r\n2237 6.6713 164(13) 185.1299 130.6532\r\n2238 6.6733 192(14) 196.7159 130.6177\r\n2239 6.6753 202(14) 204.4990 130.5821\r\n2240 6.6773 209(14) 205.1963 130.5465\r\n2241 6.6793 195(14) 197.9280 130.5110\r\n2242 6.6813 193(14) 185.5422 130.4755\r\n2243 6.6833 171(13) 172.5422 130.4400\r\n2244 6.6853 152(12) 161.8145 130.4045\r\n2245 6.6873 146(12) 153.9736 130.3690\r\n2246 6.6893 138(12) 148.5066 130.3335\r\n2247 6.6913 135(12) 144.6615 130.2980\r\n2248 6.6933 147(12) 141.9597 130.2626\r\n2249 6.6953 137(12) 140.0833 130.2271\r\n2250 6.6973 125(11) 138.7918 130.1917\r\n2251 6.6993 137(12) 137.8836 130.1563\r\n2252 6.7013 130(11) 137.2049 130.1208\r\n2253 6.7033 145(12) 136.6579 130.0854\r\n2254 6.7053 132(12) 136.1895 130.0500\r\n2255 6.7073 135(12) 135.7748 130.0147\r\n2256 6.7093 130(11) 135.4023 129.9793\r\n2257 6.7113 131(11) 135.0658 129.9440\r\n2258 6.7133 137(12) 134.7602 129.9086\r\n2259 6.7153 141(12) 134.4816 129.8733\r\n2260 6.7173 134(12) 134.2262 129.8380\r\n2261 6.7193 135(12) 133.9906 129.8027\r\n2262 6.7213 141(12) 133.7720 129.7674\r\n2263 6.7233 129(11) 133.5682 129.7321\r\n2264 6.7253 133(12) 133.3773 129.6968\r\n2265 6.7273 135(12) 133.1976 129.6616\r\n2266 6.7293 131(11) 133.0282 129.6263\r\n2267 6.7313 134(12) 130.0526 129.5911\r\n2268 6.7333 124(11) 129.9909 129.5559\r\n2269 6.7353 139(12) 129.9323 129.5207\r\n2270 6.7373 131(11) 129.8765 129.4855\r\n2271 6.7393 133(12) 129.8232 129.4503\r\n2272 6.7413 136(12) 129.7721 129.4151\r\n2273 6.7433 133(12) 129.7231 129.3799\r\n2274 6.7453 133(12) 129.6760 129.3448\r\n2275 6.7473 126(11) 129.6306 129.3096\r\n2276 6.7493 134(12) 129.5869 129.2745\r\n2277 6.7513 127(11) 129.5448 129.2394\r\n2278 6.7533 120(11) 129.5042 129.2043\r\n2279 6.7553 126(11) 129.4651 129.1692\r\n2280 6.7573 125(11) 129.4276 129.1341\r\n2281 6.7593 122(11) 129.3916 129.0990\r\n2282 6.7613 130(11) 129.3572 129.0640\r\n2283 6.7633 123(11) 129.3245 129.0289\r\n2284 6.7653 132(11) 129.2936 128.9939\r\n2285 6.7673 127(11) 129.2647 128.9588\r\n2286 6.7693 121(11) 129.2400 128.9238\r\n2287 6.7713 129(11) 129.2158 128.8888\r\n2288 6.7733 136(12) 129.1943 128.8538\r\n2289 6.7753 131(11) 129.1759 128.8189\r\n2290 6.7773 129(11) 129.1615 128.7839\r\n2291 6.7793 126(11) 129.1518 128.7489\r\n2292 6.7813 125(11) 129.1488 128.7140\r\n2293 6.7833 131(11) 129.1551 128.6790\r\n2294 6.7853 131(11) 129.1761 128.6441\r\n2295 6.7873 123(11) 129.2215 128.6092\r\n2296 6.7893 119(11) 129.3106 128.5743\r\n2297 6.7913 128(11) 129.4811 128.5394\r\n2298 6.7933 134(12) 129.8041 128.5045\r\n2299 6.7953 143(12) 130.4009 128.4697\r\n2300 6.7973 142(12) 131.4489 128.4348\r\n2301 6.7993 136(12) 133.1456 128.4000\r\n2302 6.8013 136(12) 135.5285 128.3652\r\n2303 6.8033 145(12) 138.6315 128.3304\r\n2304 6.8053 154(12) 141.8957 128.2955\r\n2305 6.8073 148(12) 144.5116 128.2607\r\n2306 6.8093 143(12) 145.5921 128.2260\r\n2307 6.8113 150(12) 144.6230 128.1912\r\n2308 6.8133 132(12) 141.9506 128.1564\r\n2309 6.8153 143(12) 138.6361 128.1217\r\n2310 6.8173 136(12) 135.6562 128.0869\r\n2311 6.8193 134(12) 133.3555 128.0522\r\n2312 6.8213 137(12) 131.7220 128.0175\r\n2313 6.8233 137(12) 130.5835 127.9828\r\n2314 6.8253 125(11) 129.7901 127.9481\r\n2315 6.8273 131(11) 129.2434 127.9134\r\n2316 6.8293 125(11) 128.8750 127.8788\r\n2317 6.8313 130(11) 128.6283 127.8441\r\n2318 6.8333 134(12) 128.4576 127.8094\r\n2319 6.8353 126(11) 128.3300 127.7748\r\n2320 6.8373 126(11) 128.2262 127.7402\r\n2321 6.8393 124(11) 128.1364 127.7056\r\n2322 6.8413 126(11) 128.0562 127.6710\r\n2323 6.8433 128(11) 127.9836 127.6364\r\n2324 6.8453 124(11) 127.9173 127.6018\r\n2325 6.8473 126(11) 127.8565 127.5672\r\n2326 6.8493 123(11) 127.8002 127.5327\r\n2327 6.8513 122(11) 127.7479 127.4981\r\n2328 6.8533 127(11) 127.6988 127.4636\r\n2329 6.8553 121(11) 127.6525 127.4291\r\n2330 6.8573 125(11) 127.6086 127.3946\r\n2331 6.8593 123(11) 127.5668 127.3601\r\n2332 6.8613 125(11) 127.5269 127.3256\r\n2333 6.8633 130(11) 127.4890 127.2911\r\n2334 6.8653 127(11) 127.4531 127.2567\r\n2335 6.8673 131(11) 127.4194 127.2222\r\n2336 6.8693 120(11) 127.3888 127.1878\r\n2337 6.8713 121(11) 127.3625 127.1533\r\n2338 6.8733 126(11) 127.3437 127.1189\r\n2339 6.8753 124(11) 127.3378 127.0845\r\n2340 6.8773 120(11) 127.3548 127.0501\r\n2341 6.8793 128(11) 127.4100 127.0158\r\n2342 6.8813 128(11) 127.5225 126.9814\r\n2343 6.8833 129(11) 127.7075 126.9470\r\n2344 6.8853 123(11) 127.9635 126.9127\r\n2345 6.8873 122(11) 128.2578 126.8783\r\n2346 6.8893 121(11) 128.5239 126.8440\r\n2347 6.8913 122(11) 128.6757 126.8097\r\n2348 6.8933 115(11) 128.6431 126.7754\r\n2349 6.8953 118(11) 128.4212 126.7411\r\n2350 6.8973 119(11) 128.0898 126.7068\r\n2351 6.8993 120(11) 127.7548 126.6725\r\n2352 6.9013 123(11) 127.4785 126.6383\r\n2353 6.9033 127(11) 127.2733 126.6040\r\n2354 6.9053 118(11) 127.1267 126.5698\r\n2355 6.9073 130(11) 127.0231 126.5356\r\n2356 6.9093 122(11) 126.9517 126.5014\r\n2357 6.9113 122(11) 126.9058 126.4672\r\n2358 6.9133 127(11) 127.3643 126.4330\r\n2359 6.9153 130(11) 127.3746 126.3988\r\n2360 6.9173 134(12) 127.4070 126.3646\r\n2361 6.9193 132(11) 127.4693 126.3305\r\n2362 6.9213 122(11) 127.5809 126.2963\r\n2363 6.9233 125(11) 127.7810 126.2622\r\n2364 6.9253 123(11) 128.1423 126.2281\r\n2365 6.9273 121(11) 128.7871 126.1940\r\n2366 6.9293 125(11) 129.8885 126.1599\r\n2367 6.9313 123(11) 131.6326 126.1258\r\n2368 6.9333 125(11) 134.1184 126.0917\r\n2369 6.9353 122(11) 137.2148 126.0576\r\n2370 6.9373 131(11) 140.4365 126.0236\r\n2371 6.9393 139(12) 143.0525 125.9895\r\n2372 6.9413 125(11) 144.1980 125.9555\r\n2373 6.9433 133(12) 143.3677 125.9215\r\n2374 6.9453 129(11) 140.8517 125.8875\r\n2375 6.9473 137(12) 137.6379 125.8535\r\n2376 6.9493 130(11) 134.6648 125.8195\r\n2377 6.9513 132(11) 132.3486 125.7855\r\n2378 6.9533 125(11) 130.6924 125.7516\r\n2379 6.9553 130(11) 129.5425 125.7176\r\n2380 6.9573 126(11) 128.7527 125.6837\r\n2381 6.9593 127(11) 128.2232 125.6497\r\n2382 6.9613 127(11) 127.8848 125.6158\r\n2383 6.9633 112(11) 127.6811 125.5819\r\n2384 6.9653 124(11) 127.5655 125.5480\r\n2385 6.9673 121(11) 127.5040 125.5141\r\n2386 6.9693 126(11) 127.4755 125.4803\r\n2387 6.9713 121(11) 127.4695 125.4464\r\n2388 6.9733 122(11) 127.4813 125.4126\r\n2389 6.9753 124(11) 127.5096 125.3787\r\n2390 6.9773 127(11) 127.5541 125.3449\r\n2391 6.9793 128(11) 127.6150 125.3111\r\n2392 6.9813 122(11) 127.6930 125.2773\r\n2393 6.9833 125(11) 127.7889 125.2435\r\n2394 6.9853 127(11) 127.9042 125.2097\r\n2395 6.9873 121(11) 128.0405 125.1759\r\n2396 6.9893 125(11) 128.2003 125.1421\r\n2397 6.9913 127(11) 128.3862 125.1084\r\n2398 6.9933 120(11) 128.6017 125.0747\r\n2399 6.9953 131(11) 128.8509 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7.0453 341(18) 353.6784 124.2014\r\n2425 7.0473 249(16) 289.8276 124.1680\r\n2426 7.0493 209(14) 241.3035 124.1345\r\n2427 7.0513 198(14) 206.6408 124.1011\r\n2428 7.0533 168(13) 182.3475 124.0677\r\n2429 7.0553 153(12) 165.4366 124.0343\r\n2430 7.0573 153(12) 153.9379 124.0010\r\n2431 7.0593 145(12) 146.3672 123.9676\r\n2432 7.0613 140(12) 141.4899 123.9342\r\n2433 7.0633 132(11) 138.3005 123.9009\r\n2434 7.0653 130(11) 136.0852 123.8676\r\n2435 7.0673 135(12) 134.4140 123.8342\r\n2436 7.0693 131(11) 133.0633 123.8009\r\n2437 7.0713 133(12) 131.9100 123.7676\r\n2438 7.0733 127(11) 130.9456 123.7343\r\n2439 7.0753 125(11) 130.1210 123.7010\r\n2440 7.0773 134(12) 129.4148 123.6678\r\n2441 7.0793 121(11) 128.8083 123.6345\r\n2442 7.0813 126(11) 128.2847 123.6013\r\n2443 7.0833 121(11) 127.8298 123.5680\r\n2444 7.0853 125(11) 127.4315 123.5348\r\n2445 7.0873 126(11) 127.0798 123.5016\r\n2446 7.0893 135(12) 126.7670 123.4684\r\n2447 7.0913 119(11) 126.4867 123.4352\r\n2448 7.0933 125(11) 126.2341 123.4020\r\n2449 7.0953 131(11) 126.0049 123.3688\r\n2450 7.0973 127(11) 125.7961 123.3357\r\n2451 7.0993 115(11) 125.6050 123.3025\r\n2452 7.1013 121(11) 125.4293 123.2694\r\n2453 7.1033 122(11) 125.2671 123.2363\r\n2454 7.1053 125(11) 127.2892 123.2032\r\n2455 7.1073 123(11) 127.2174 123.1701\r\n2456 7.1093 112(11) 127.1583 123.1370\r\n2457 7.1113 113(11) 127.1112 123.1039\r\n2458 7.1133 114(11) 127.0753 123.0708\r\n2459 7.1153 126(11) 127.0503 123.0378\r\n2460 7.1173 129(11) 127.0356 123.0047\r\n2461 7.1193 112(11) 127.0311 122.9717\r\n2462 7.1213 120(11) 127.0366 122.9387\r\n2463 7.1233 125(11) 127.0520 122.9056\r\n2464 7.1253 115(11) 127.0774 122.8726\r\n2465 7.1273 133(12) 127.1128 122.8397\r\n2466 7.1293 121(11) 127.1586 122.8067\r\n2467 7.1313 128(11) 127.2149 122.7737\r\n2468 7.1333 126(11) 127.2822 122.7407\r\n2469 7.1353 127(11) 127.3611 122.7078\r\n2470 7.1373 118(11) 127.4519 122.6749\r\n2471 7.1393 122(11) 127.5555 122.6419\r\n2472 7.1413 113(11) 127.6728 122.6090\r\n2473 7.1433 126(11) 127.8046 122.5761\r\n2474 7.1453 122(11) 127.9522 122.5432\r\n2475 7.1473 118(11) 128.1172 122.5103\r\n2476 7.1493 115(11) 128.3012 122.4775\r\n2477 7.1513 120(11) 128.5069 122.4446\r\n2478 7.1533 124(11) 128.7378 122.4118\r\n2479 7.1553 130(11) 128.9992 122.3789\r\n2480 7.1573 126(11) 129.2997 122.3461\r\n2481 7.1593 118(11) 129.6544 122.3133\r\n2482 7.1613 121(11) 130.0905 122.2805\r\n2483 7.1633 112(11) 130.6556 122.2477\r\n2484 7.1653 120(11) 131.4301 122.2149\r\n2485 7.1673 130(11) 132.5322 122.1821\r\n2486 7.1693 129(11) 133.6288 122.1494\r\n2487 7.1713 125(11) 135.8006 122.1166\r\n2488 7.1733 126(11) 138.5558 122.0839\r\n2489 7.1753 132(11) 141.6794 122.0511\r\n2490 7.1773 147(12) 144.7208 122.0184\r\n2491 7.1793 133(12) 147.0738 121.9857\r\n2492 7.1813 131(11) 148.1911 121.9530\r\n2493 7.1833 130(11) 147.9125 121.9204\r\n2494 7.1853 127(11) 146.6896 121.8877\r\n2495 7.1873 126(11) 145.3095 121.8550\r\n2496 7.1893 138(12) 144.3723 121.8224\r\n2497 7.1913 133(12) 144.1035 121.7897\r\n2498 7.1933 137(12) 144.4920 121.7571\r\n2499 7.1953 133(12) 145.4587 121.7245\r\n2500 7.1973 129(11) 146.9472 121.6919\r\n2501 7.1993 127(11) 148.9466 121.6593\r\n2502 7.2013 141(12) 151.4925 121.6267\r\n2503 7.2033 148(12) 154.6726 121.5941\r\n2504 7.2053 144(12) 158.6694 121.5616\r\n2505 7.2073 149(12) 163.8284 121.5290\r\n2506 7.2093 164(13) 170.8001 121.4965\r\n2507 7.2113 172(13) 180.8209 121.4639\r\n2508 7.2133 190(14) 196.2608 121.4314\r\n2509 7.2153 225(15) 221.5218 121.3989\r\n2510 7.2173 273(17) 264.3887 121.3664\r\n2511 7.2193 332(18) 337.1827 121.3339\r\n2512 7.2213 425(21) 456.3947 121.3015\r\n2513 7.2233 611(25) 638.5742 121.2690\r\n2514 7.2253 847(29) 891.1105 121.2365\r\n2515 7.2273 1171(34) 1200.2268 121.2041\r\n2516 7.2293 1521(39) 1522.0452 121.1717\r\n2517 7.2313 1864(43) 1786.8246 121.1392\r\n2518 7.2333 2076(46) 1916.9102 121.1068\r\n2519 7.2353 1944(44) 1861.2983 121.0744\r\n2520 7.2373 1718(41) 1636.0881 121.0421\r\n2521 7.2393 1394(37) 1324.8027 121.0097\r\n2522 7.2413 1100(33) 1019.2448 120.9773\r\n2523 7.2433 843(29) 768.9092 120.9449\r\n2524 7.2453 605(25) 582.3284 120.9126\r\n2525 7.2473 459(21) 448.6458 120.8803\r\n2526 7.2493 354(19) 354.1064 120.8479\r\n2527 7.2513 298(17) 288.2060 120.8156\r\n2528 7.2533 248(16) 243.5092 120.7833\r\n2529 7.2553 198(14) 214.1664 120.7510\r\n2530 7.2573 173(13) 195.1495 120.7188\r\n2531 7.2593 163(13) 182.5101 120.6865\r\n2532 7.2613 157(13) 173.5451 120.6542\r\n2533 7.2633 151(12) 166.6672 120.6220\r\n2534 7.2653 138(12) 161.0591 120.5897\r\n2535 7.2673 128(11) 156.3407 120.5575\r\n2536 7.2693 142(12) 152.3206 120.5253\r\n2537 7.2713 145(12) 148.8852 120.4931\r\n2538 7.2733 131(11) 145.9464 120.4609\r\n2539 7.2753 124(11) 143.4266 120.4287\r\n2540 7.2773 127(11) 141.2569 120.3966\r\n2541 7.2793 132(11) 139.3770 120.3644\r\n2542 7.2813 126(11) 137.7385 120.3323\r\n2543 7.2833 121(11) 136.2997 120.3001\r\n2544 7.2853 130(11) 135.0277 120.2680\r\n2545 7.2873 115(11) 133.8961 120.2359\r\n2546 7.2893 135(12) 132.8838 120.2038\r\n2547 7.2913 131(11) 131.9736 120.1717\r\n2548 7.2933 119(11) 131.1512 120.1396\r\n2549 7.2953 116(11) 130.4057 120.1075\r\n2550 7.2973 125(11) 129.7272 120.0755\r\n2551 7.2993 114(11) 129.1075 120.0434\r\n2552 7.3013 119(11) 128.5396 120.0114\r\n2553 7.3033 126(11) 128.0177 119.9793\r\n2554 7.3053 130(11) 127.5365 119.9473\r\n2555 7.3073 118(11) 127.0920 119.9153\r\n2556 7.3093 132(11) 126.6801 119.8833\r\n2557 7.3113 117(11) 126.2975 119.8513\r\n2558 7.3133 123(11) 125.9246 119.8194\r\n2559 7.3153 121(11) 125.5927 119.7874\r\n2560 7.3173 117(11) 125.2823 119.7554\r\n2561 7.3193 120(11) 124.9912 119.7235\r\n2562 7.3213 119(11) 124.7181 119.6916\r\n2563 7.3233 128(11) 124.4611 119.6596\r\n2564 7.3253 129(11) 124.2189 119.6277\r\n2565 7.3273 118(11) 123.9901 119.5958\r\n2566 7.3293 125(11) 123.7738 119.5639\r\n2567 7.3313 117(11) 123.5687 119.5321\r\n2568 7.3333 117(11) 123.3741 119.5002\r\n2569 7.3353 120(11) 123.1892 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67.4896\r\n7740 17.6773 67(8) 71.9344 67.4844\r\n7741 17.6793 71(8) 72.1456 67.4792\r\n7742 17.6813 70(8) 72.3337 67.4739\r\n7743 17.6833 73(9) 72.4915 67.4687\r\n7744 17.6853 68(8) 72.6102 67.4634\r\n7745 17.6873 65(8) 72.6917 67.4581\r\n7746 17.6893 68(8) 72.7318 67.4528\r\n7747 17.6913 76(9) 72.7324 67.4475\r\n7748 17.6933 77(9) 72.6976 67.4422\r\n7749 17.6953 70(8) 72.6338 67.4369\r\n7750 17.6973 63(8) 72.5489 67.4315\r\n7751 17.6993 67(8) 72.4513 67.4261\r\n7752 17.7013 77(9) 72.3493 67.4207\r\n7753 17.7033 67(8) 72.2504 67.4154\r\n7754 17.7053 71(8) 72.1611 67.4099\r\n7755 17.7073 63(8) 72.0867 67.4045\r\n7756 17.7093 77(9) 72.0307 67.3991\r\n7757 17.7113 70(8) 71.9962 67.3936\r\n7758 17.7133 68(8) 71.9821 67.3881\r\n7759 17.7153 74(9) 71.9882 67.3827\r\n7760 17.7173 71(8) 72.0121 67.3772\r\n7761 17.7193 69(8) 72.0501 67.3716\r\n7762 17.7213 73(9) 72.0970 67.3661\r\n7763 17.7233 70(8) 72.1471 67.3606\r\n7764 17.7253 66(8) 72.1940 67.3550\r\n7765 17.7273 67(8) 72.2319 67.3494\r\n7766 17.7293 76(9) 72.2554 67.3438\r\n7767 17.7313 74(9) 72.2611 67.3382\r\n7768 17.7333 80(9) 72.2474 67.3326\r\n7769 17.7353 70(8) 72.2147 67.3270\r\n7770 17.7373 81(9) 72.1656 67.3213\r\n7771 17.7393 67(8) 72.1044 67.3156\r\n7772 17.7413 69(8) 72.0367 67.3100\r\n7773 17.7433 66(8) 71.9687 67.3043\r\n7774 17.7453 68(8) 71.9073 67.2986\r\n7775 17.7473 70(8) 71.8590 67.2928\r\n7776 17.7493 78(9) 71.8303 67.2871\r\n7777 17.7513 80(9) 71.8268 67.2813\r\n7778 17.7533 74(9) 71.8531 67.2755\r\n7779 17.7553 73(9) 71.9124 67.2697\r\n7780 17.7573 70(8) 72.0066 67.2639\r\n7781 17.7593 75(9) 72.1358 67.2581\r\n7782 17.7613 80(9) 72.2987 67.2523\r\n7783 17.7633 64(8) 72.4919 67.2464\r\n7784 17.7653 71(8) 72.7116 67.2406\r\n7785 17.7673 82(9) 72.9487 67.2347\r\n7786 17.7693 80(9) 73.1956 67.2288\r\n7787 17.7713 74(9) 73.4428 67.2229\r\n7788 17.7733 71(8) 73.6785 67.2169\r\n7789 17.7753 70(8) 73.8909 67.2110\r\n7790 17.7773 74(9) 74.0673 67.2050\r\n7791 17.7793 69(8) 74.1959 67.1991\r\n7792 17.7813 74(9) 74.2672 67.1931\r\n7793 17.7833 74(9) 74.2742 67.1871\r\n7794 17.7853 80(9) 74.2145 67.1810\r\n7795 17.7873 77(9) 74.0898 67.1750\r\n7796 17.7893 74(9) 73.9056 67.1690\r\n7797 17.7913 76(9) 73.6708 67.1629\r\n7798 17.7933 80(9) 73.3965 67.1568\r\n7799 17.7953 75(9) 73.0940 67.1507\r\n7800 17.7973 79(9) 72.7754 67.1446\r\n7801 17.7993 70(8) 72.4511 67.1385\r\n7802 17.8013 61(8) 72.1314 67.1323\r\n7803 17.8033 75(9) 71.8250 67.1261\r\n7804 17.8053 68(8) 71.5401 67.1200\r\n7805 17.8073 74(9) 71.2831 67.1138\r\n7806 17.8093 66(8) 71.0586 67.1076\r\n7807 17.8113 70(8) 70.8712 67.1013\r\n7808 17.8133 70(8) 70.7233 67.0951\r\n7809 17.8153 69(8) 70.6168 67.0888\r\n7810 17.8173 67(8) 70.5526 67.0826\r\n7811 17.8193 63(8) 70.5303 67.0763\r\n7812 17.8213 63(8) 70.5489 67.0700\r\n7813 17.8233 68(8) 70.6068 67.0636\r\n7814 17.8253 82(9) 70.7016 67.0573\r\n7815 17.8273 79(9) 70.8309 67.0509\r\n7816 17.8293 71(8) 70.9909 67.0446\r\n7817 17.8313 66(8) 71.1788 67.0382\r\n7818 17.8333 69(8) 71.3902 67.0318\r\n7819 17.8353 70(8) 71.6201 67.0254\r\n7820 17.8373 74(9) 71.8634 67.0189\r\n7821 17.8393 67(8) 72.1132 67.0125\r\n7822 17.8413 76(9) 72.3630 67.0060\r\n7823 17.8433 74(9) 72.6047 66.9995\r\n7824 17.8453 72(8) 72.8300 66.9930\r\n7825 17.8473 72(9) 73.0312 66.9865\r\n7826 17.8493 86(9) 73.2007 66.9800\r\n7827 17.8513 70(8) 73.3289 66.9734\r\n7828 17.8533 77(9) 73.4210 66.9669\r\n7829 17.8553 74(9) 73.4728 66.9603\r\n7830 17.8573 72(8) 73.4872 66.9537\r\n7831 17.8593 71(8) 73.4700 66.9471\r\n7832 17.8613 75(9) 73.4285 66.9404\r\n7833 17.8633 80(9) 73.3712 66.9338\r\n7834 17.8653 78(9) 73.3063 66.9271\r\n7835 17.8673 76(9) 73.2415 66.9205\r\n7836 17.8693 69(8) 73.1834 66.9138\r\n7837 17.8713 71(8) 73.1372 66.9071\r\n7838 17.8733 69(8) 73.1070 66.9003\r\n7839 17.8753 68(8) 73.0953 66.8936\r\n7840 17.8773 73(9) 73.1035 66.8868\r\n7841 17.8793 71(8) 73.1316 66.8801\r\n7842 17.8813 80(9) 73.1785 66.8733\r\n7843 17.8833 65(8) 73.2418 66.8664\r\n7844 17.8853 66(8) 73.3184 66.8596\r\n7845 17.8873 74(9) 73.4044 66.8528\r\n7846 17.8893 73(9) 73.4958 66.8459\r\n7847 17.8913 74(9) 73.5880 66.8390\r\n7848 17.8933 81(9) 73.6771 66.8321\r\n7849 17.8953 78(9) 73.7584 66.8252\r\n7850 17.8973 74(9) 73.8242 66.8183\r\n7851 17.8993 74(9) 73.8775 66.8114\r\n7852 17.9013 75(9) 73.9110 66.8044\r\n7853 17.9033 79(9) 73.9219 66.7974\r\n7854 17.9053 74(9) 73.9091 66.7904\r\n7855 17.9073 70(8) 73.8734 66.7834\r\n7856 17.9093 79(9) 73.8178 66.7764\r\n7857 17.9113 82(9) 73.7477 66.7693\r\n7858 17.9133 80(9) 73.6692 66.7623\r\n7859 17.9153 86(9) 73.5838 66.7552\r\n7860 17.9173 69(8) 73.5075 66.7481\r\n7861 17.9193 74(9) 73.4438 66.7410\r\n7862 17.9213 76(9) 73.3954 66.7339\r\n7863 17.9233 75(9) 73.3650 66.7267\r\n7864 17.9253 68(8) 73.3538 66.7196\r\n7865 17.9273 76(9) 73.3614 66.7124\r\n7866 17.9293 80(9) 73.3855 66.7052\r\n7867 17.9313 74(9) 73.4228 66.6980\r\n7868 17.9333 69(8) 73.4681 66.6907\r\n7869 17.9353 73(9) 73.5154 66.6835\r\n7870 17.9373 71(8) 73.5579 66.6762\r\n7871 17.9393 77(9) 73.5887 66.6690\r\n7872 17.9413 73(9) 73.6011 66.6617\r\n7873 17.9433 77(9) 73.5896 66.6543\r\n7874 17.9453 75(9) 73.5499 66.6470\r\n7875 17.9473 82(9) 73.4794 66.6397\r\n7876 17.9493 75(9) 73.3770 66.6323\r\n7877 17.9513 74(9) 73.2433 66.6249\r\n7878 17.9533 76(9) 73.0807 66.6175\r\n7879 17.9553 73(9) 72.8926 66.6101\r\n7880 17.9573 72(8) 72.6849 66.6027\r\n7881 17.9593 79(9) 72.4630 66.5952\r\n7882 17.9613 73(9) 72.2373 66.5877\r\n7883 17.9633 71(8) 72.0157 66.5802\r\n7884 17.9653 72(8) 71.8065 66.5727\r\n7885 17.9673 72(9) 71.6188 66.5652\r\n7886 17.9693 69(8) 71.4600 66.5577\r\n7887 17.9713 72(8) 71.3377 66.5501\r\n7888 17.9733 69(8) 71.2575 66.5425\r\n7889 17.9753 67(8) 71.2247 66.5349\r\n7890 17.9773 70(8) 71.2430 66.5273\r\n7891 17.9793 72(8) 71.3151 66.5197\r\n7892 17.9813 71(8) 71.4421 66.5121\r\n7893 17.9833 74(9) 71.6242 66.5044\r\n7894 17.9853 71(8) 71.8582 66.4967\r\n7895 17.9873 76(9) 72.1441 66.4890\r\n7896 17.9893 66(8) 72.4761 66.4813\r\n7897 17.9913 68(8) 72.8474 66.4736\r\n7898 17.9933 74(9) 73.2509 66.4658\r\n7899 17.9953 69(8) 73.6767 66.4580\r\n7900 17.9973 82(9) 74.1156 66.4502\r\n7901 17.9993 80(9) 74.5564 66.4424\r\n_pd_proc_number_of_points        7901\r\n\r\nloop_\r\n_refln_index_h\r\n_refln_index_k\r\n_refln_index_l\r\n_refln_mult\r\n_pd_refln_phase_id\r\n_refln_observed_status\r\n_refln_F_squared_meas\r\n_refln_F_squared_calc\r\n_refln_phase_calc\r\n_refln_d_spacing\r\n1 1 0 4 1 o 252.5883 283.6172 270.05 9.10032\r\n2 0 0 2 1 o 583.3576 627.6804 0.02 8.94992\r\n2 1 0 4 1 o 1714.8146 1505.8348 180.02 6.82977\r\n1 0 1 4 1 o 36.7282 31.0985 90.20 5.45040\r\n0 2 0 2 1 o 441.0119 399.7816 180.02 5.28400\r\n3 1 0 4 1 o 2476.2615 2370.8667 270.02 5.19570\r\n1 2 0 4 1 o 25.2071 24.1143 269.89 5.06780\r\n0 1 1 4 1 o 3513.8796 3519.7344 270.00 5.03185\r\n1 1 1 8 1 o 1970.1227 1977.3544 59.68 4.84409\r\n2 0 1 4 1 o 246.2663 301.0969 90.06 4.82100\r\n2 2 0 4 1 o 7949.5479 7431.4014 0.01 4.55016\r\n4 0 0 2 1 o 481.9542 376.9636 359.97 4.47496\r\n2 1 1 8 1 o 1512.8027 1495.8652 92.76 4.38616\r\n3 0 1 4 1 o 736.0627 733.7250 270.00 4.12988\r\n4 1 0 4 1 o 319.1750 340.6488 360.00 4.12075\r\n3 2 0 4 1 o 2475.2415 2242.5688 270.00 3.95578\r\n0 2 1 4 1 o 3943.0684 4077.0103 180.03 3.88201\r\n3 1 1 8 1 o 6622.1006 6734.2812 332.02 3.84659\r\n1 2 1 8 1 o 1086.3583 1029.6400 283.69 3.79381\r\n2 2 1 8 1 o 7666.4961 7770.9019 167.27 3.56142\r\n4 0 1 4 1 o 408.5091 444.5698 89.98 3.52502\r\n1 3 0 4 1 o 121.3891 124.4281 270.00 3.45637\r\n4 2 0 4 1 o 12.8133 12.8133 179.88 3.41489\r\n5 1 0 4 1 o 32.7498 132.9245 90.07 3.39070\r\n4 1 1 8 1 o 1489.2866 1606.9865 180.41 3.34390\r\n2 3 0 4 1 o 79.2047 119.5675 0.04 3.27790\r\n3 2 1 8 1 o 7776.2915 7835.3335 46.11 3.25392\r\n5 0 1 4 1 o 776.6262 777.7797 90.02 3.03494\r\n3 3 0 4 1 o 690.6548 681.1781 270.00 3.03344\r\n0 3 1 4 1 o 1126.4449 1062.2878 90.03 2.99979\r\n6 0 0 2 1 o 1200.8755 1110.7451 0.05 2.98331\r\n5 2 0 4 1 o 1943.0806 1786.1575 90.04 2.96380\r\n1 3 1 8 1 o 4964.0464 4848.1875 51.48 2.95853\r\n4 2 1 8 1 o 639.7804 656.6674 264.05 2.93239\r\n5 1 1 8 1 o 313.7856 308.5521 44.26 2.91703\r\n6 1 0 4 1 o 2887.3560 2692.4644 0.03 2.87110\r\n0 0 2 2 1 o 1681.7341 1666.1421 180.04 2.86106\r\n2 3 1 8 1 o 2030.9061 1843.2395 209.78 2.84428\r\n1 0 2 4 1 o 8.6768 6.4391 359.99 2.82520\r\n4 3 0 4 1 o 1308.1184 1097.5266 0.02 2.76795\r\n0 1 2 4 1 o 77.7388 58.2035 90.04 2.76164\r\n1 1 2 8 1 o 585.4205 613.7014 325.71 2.72935\r\n2 0 2 4 1 o 321.9555 335.5223 180.04 2.72520\r\n3 3 1 8 1 o 2410.5823 2442.5513 100.82 2.68013\r\n6 0 1 4 1 o 48.6298 43.6358 270.10 2.64536\r\n0 4 0 2 1 o 1096.9312 1174.5387 180.03 2.64200\r\n2 1 2 8 1 o 331.0220 338.5912 82.41 2.63887\r\n5 2 1 8 1 o 576.0572 519.7178 102.93 2.63173\r\n1 4 0 4 1 o 47.6865 36.5690 270.08 2.61368\r\n6 2 0 4 1 o 0.4673 0.2601 179.56 2.59785\r\n3 0 2 4 1 o 29.9841 25.9294 179.94 2.57980\r\n6 1 1 8 1 o 291.5532 275.3846 345.62 2.56619\r\n2 4 0 4 1 o 102.9217 99.1140 180.04 2.53390\r\n0 2 2 4 1 o 1479.6094 1493.9156 0.03 2.51593\r\n5 3 0 4 1 o 116.2276 121.2563 270.05 2.51092\r\n3 1 2 8 1 o 1606.6494 1583.7074 145.22 2.50621\r\n4 3 1 8 1 o 42.8730 42.6741 224.68 2.49173\r\n1 2 2 8 1 o 298.1322 296.3227 247.64 2.49144\r\n7 1 0 4 1 o 151.9326 122.4848 90.00 2.48540\r\n2 2 2 8 1 o 4098.3960 4020.4082 291.77 2.42205\r\n3 4 0 4 1 o 1335.5629 1355.0370 90.04 2.41577\r\n4 0 2 4 1 o 510.3264 450.1566 180.02 2.41050\r\n0 4 1 4 1 o 16.6463 18.5668 359.94 2.39867\r\n1 4 1 8 1 o 1930.2731 1710.2119 21.59 2.37742\r\n6 2 1 8 1 o 2040.1271 1837.5884 191.38 2.36548\r\n4 1 2 8 1 o 827.1421 790.5272 4.28 2.35014\r\n7 0 1 4 1 o 1132.2960 1152.0338 90.05 2.33461\r\n3 2 2 8 1 o 269.4706 279.7459 162.80 2.31826\r\n2 4 1 8 1 o 711.3229 747.2577 278.22 2.31690\r\n7 2 0 4 1 o 1759.1201 1695.5582 90.03 2.30176\r\n5 3 1 8 1 o 942.5795 929.8297 308.27 2.29929\r\n7 1 1 8 1 o 2550.1028 2636.2544 146.26 2.27964\r\n6 3 0 4 1 o 1.4281 1.5120 179.95 2.27659\r\n4 4 0 4 1 o 232.9564 253.9232 180.05 2.27508\r\n8 0 0 2 1 o 1135.4844 1285.8877 0.06 2.23748\r\n5 0 2 4 1 o 577.9318 613.5233 0.02 2.23500\r\n3 4 1 8 1 o 533.4266 606.2299 291.37 2.22556\r\n0 3 2 4 1 o 772.9008 942.2510 90.03 2.22085\r\n1 3 2 8 1 o 129.8224 225.7314 49.90 2.20395\r\n4 2 2 8 1 o 435.4448 502.0186 140.06 2.19308\r\n8 1 0 4 1 o 41.4438 51.5154 0.11 2.18896\r\n5 1 2 8 1 o 298.9152 383.5090 37.94 2.18663\r\n2 3 2 8 1 o 81.2147 130.6586 218.60 2.15548\r\n7 2 1 8 1 o 873.8517 882.8562 62.94 2.13546\r\n5 4 0 4 1 o 2157.1965 2221.4148 90.03 2.12579\r\n6 3 1 8 1 o 47.8568 48.3341 191.53 2.11532\r\n4 4 1 8 1 o 157.3705 163.1005 244.75 2.11411\r\n1 5 0 4 1 o 0.0294 0.0294 92.36 2.09902\r\n8 0 1 4 1 o 179.6385 190.3403 90.05 2.08384\r\n3 3 2 8 1 o 430.4570 418.2245 252.22 2.08135\r\n7 3 0 4 1 o 4.3186 11.8550 269.87 2.06938\r\n6 0 2 4 1 o 59.6853 60.2460 359.94 2.06494\r\n8 2 0 4 1 o 513.4291 464.5393 180.03 2.06037\r\n5 2 2 8 1 o 507.1584 477.3315 225.81 2.05844\r\n2 5 0 4 1 o 2114.4133 2048.6580 180.05 2.05702\r\n8 1 1 8 1 o 814.8790 853.1086 44.05 2.04447\r\n6 1 2 8 1 o 541.5382 486.6629 131.10 2.02661\r\n5 4 1 8 1 o 281.0623 295.9781 338.75 1.99272\r\n3 5 0 4 1 o 609.8543 644.6870 90.03 1.99229\r\n4 3 2 8 1 o 20.2137 19.3878 252.87 1.98934\r\n0 5 1 4 1 o 375.0093 344.7600 90.06 1.98267\r\n6 4 0 4 1 o 2293.6755 2177.7852 180.04 1.97789\r\n1 5 1 8 1 o 899.5895 853.9122 310.69 1.97062\r\n9 1 0 4 1 o 625.2271 674.2803 270.04 1.95456\r\n7 3 1 8 1 o 285.2259 268.2260 2.90 1.94603\r\n0 4 2 4 1 o 1814.4054 1706.8130 0.02 1.94100\r\n8 2 1 8 1 o 363.8685 346.6248 153.07 1.93854\r\n2 5 1 8 1 o 260.3402 253.2693 161.15 1.93574\r\n1 4 2 8 1 o 236.0944 207.4822 317.02 1.92969\r\n6 2 2 8 1 o 42.7537 42.2503 123.65 1.92329\r\n4 5 0 4 1 o 93.5771 97.5244 0.05 1.91115\r\n7 0 2 4 1 o 52.0807 44.7523 180.11 1.90659\r\n2 4 2 8 1 o 453.4123 493.5292 345.54 1.89691\r\n1 0 3 4 1 o 560.2070 606.2863 270.07 1.89663\r\n8 3 0 4 1 o 1454.3936 1453.1023 0.02 1.88870\r\n5 3 2 8 1 o 1153.4725 1128.4733 136.97 1.88721\r\n3 5 1 8 1 o 15.2310 15.7768 182.12 1.88151\r\n9 0 1 4 1 o 1404.6069 1362.5038 90.04 1.87863\r\n0 1 3 4 1 o 57.7556 55.3007 90.07 1.87704\r\n7 1 2 8 1 o 674.5881 645.8890 74.93 1.87630\r\n6 4 1 8 1 o 117.9500 106.5926 345.46 1.86936\r\n1 1 3 8 1 o 236.0762 223.1820 6.74 1.86681\r\n2 0 3 4 1 o 490.8964 480.4678 270.04 1.86548\r\n9 2 0 4 1 o 49.6983 51.2089 270.02 1.86138\r\n9 1 1 8 1 o 48.5583 40.0563 85.54 1.84963\r\n3 4 2 8 1 o 21.5757 21.0206 201.04 1.84579\r\n7 4 0 4 1 o 59.7394 56.7525 270.10 1.83743\r\n2 1 3 8 1 o 120.6773 113.2926 185.64 1.83708\r\n5 5 0 4 1 o 992.1492 958.2172 270.03 1.82006\r\n3 0 3 4 1 o 64.7421 52.6989 90.04 1.81680\r\n4 5 1 8 1 o 488.7102 402.8977 308.19 1.81272\r\n0 2 3 4 1 o 190.0611 177.3170 0.01 1.79407\r\n8 3 1 8 1 o 716.5750 667.3978 118.75 1.79353\r\n7 2 2 8 1 o 166.4192 154.9193 257.09 1.79342\r\n3 1 3 8 1 o 613.3745 574.9663 91.50 1.79053\r\n10 0 0 2 1 o 163.1850 154.8463 180.03 1.78998\r\n1 2 3 8 1 o 417.1871 435.5345 18.25 1.78512\r\n6 3 2 8 1 o 2861.1497 2801.4558 12.73 1.78144\r\n4 4 2 8 1 o 3055.6133 2970.3140 354.03 1.78071\r\n9 2 1 8 1 o 528.0624 502.2780 314.93 1.77009\r\n10 1 0 4 1 o 46.1611 49.3595 180.11 1.76485\r\n8 0 2 4 1 o 290.9556 319.7669 180.06 1.76251\r\n0 6 0 2 1 o 427.4707 460.0757 180.07 1.76133\r\n2 2 3 8 1 o 1501.9244 1528.6420 15.14 1.75907\r\n4 0 3 4 1 o 163.4889 165.6037 90.06 1.75463\r\n1 6 0 4 1 o 210.7750 218.3850 270.07 1.75287\r\n7 4 1 8 1 o 350.8716 360.0915 224.66 1.74945\r\n8 1 2 8 1 o 1281.1041 1268.4805 112.12 1.73850\r\n5 5 1 8 1 o 1068.2640 1114.5957 110.13 1.73444\r\n9 3 0 4 1 o 374.2291 375.9719 90.04 1.73190\r\n4 1 3 8 1 o 765.3439 745.7647 255.19 1.73094\r\n2 6 0 4 1 o 9.5917 8.9717 359.90 1.72819\r\n6 5 0 4 1 o 1113.2767 1120.6976 0.06 1.72463\r\n3 2 3 8 1 o 640.8815 608.2123 126.83 1.71808\r\n10 0 1 4 1 o 381.9488 391.2484 90.05 1.70835\r\n8 4 0 4 1 o 5.1198 5.1796 180.05 1.70744\r\n5 4 2 8 1 o 2531.6602 2529.4253 202.33 1.70634\r\n0 5 2 4 1 o 959.9896 896.7213 270.03 1.70002\r\n10 2 0 4 1 o 28.4197 24.0235 180.06 1.69535\r\n1 5 2 8 1 o 455.3045 428.1543 336.57 1.69240\r\n3 6 0 4 1 o 294.4746 296.9881 90.03 1.68927\r\n10 1 1 8 1 o 888.9274 879.6335 61.87 1.68646\r\n0 6 1 4 1 o 160.3404 153.0599 0.08 1.68339\r\n5 0 3 4 1 o 1754.6246 1674.2721 90.03 1.68335\r\n0 3 3 4 1 o 12.8173 12.9906 270.00 1.67728\r\n7 3 2 8 1 o 528.4625 538.6096 281.15 1.67675\r\n1 6 1 8 1 o 268.1206 274.8535 264.16 1.67599\r\n8 2 2 8 1 o 1082.1034 1053.3760 318.74 1.67195\r\n2 5 2 8 1 o 847.0462 832.3160 16.28 1.67016\r\n1 3 3 8 1 o 36.7814 36.2046 112.74 1.66997\r\n4 2 3 8 1 o 266.1373 268.7630 348.04 1.66522\r\n5 1 3 8 1 o 1344.1746 1304.0979 284.82 1.66240\r\n9 3 1 8 1 o 396.0600 374.3681 130.02 1.65764\r\n2 6 1 8 1 o 775.2845 798.1418 332.10 1.65438\r\n6 5 1 8 1 o 304.8421 300.5358 144.04 1.65126\r\n2 3 3 8 1 o 559.8240 520.2185 210.90 1.64858\r\n4 6 0 4 1 o 1406.9901 1544.2186 0.04 1.63895\r\n8 4 1 8 1 o 355.1352 366.2701 227.05 1.63616\r\n3 5 2 8 1 o 173.9715 169.8680 215.72 1.63495\r\n9 0 2 4 1 o 340.6863 321.1176 0.04 1.63306\r\n7 5 0 4 1 o 5.5591 5.7590 269.98 1.62913\r\n6 4 2 8 1 o 2037.4088 2117.2798 55.71 1.62696\r\n10 2 1 8 1 o 16.0757 16.2225 41.78 1.62551\r\n3 6 1 8 1 o 1329.3716 1363.9449 319.23 1.62014\r\n3 3 3 8 1 o 654.7253 608.1313 337.98 1.61470\r\n9 1 2 8 1 o 128.1370 120.7324 359.83 1.61390\r\n11 1 0 4 1 o 9.6068 10.9695 89.98 1.60830\r\n6 0 3 4 1 o 219.9908 251.1497 270.02 1.60700\r\n5 2 3 8 1 o 422.9947 451.8391 208.28 1.60393\r\n10 3 0 4 1 o 14.5233 10.3357 179.96 1.59579\r\n4 5 2 8 1 o 753.6506 705.8807 35.89 1.58920\r\n9 4 0 4 1 o 1851.6163 1727.9626 90.03 1.58897\r\n6 1 3 8 1 o 52.3315 48.6072 51.56 1.58874\r\n5 6 0 4 1 o 74.2486 116.6234 270.08 1.58041\r\n8 3 2 8 1 o 189.9479 228.1381 194.09 1.57622\r\n4 6 1 8 1 o 312.0933 372.2260 335.73 1.57559\r\n4 3 3 8 1 o 123.7518 116.5186 256.56 1.57059\r\n7 5 1 8 1 o 83.7518 154.4532 10.53 1.56686\r\n11 0 1 4 1 o 1.1630 5.8801 269.85 1.56520\r\n9 2 2 8 1 o 300.4998 313.3697 302.08 1.56024\r\n11 2 0 4 1 o 1197.0242 1210.3053 90.04 1.55518\r\n11 1 1 8 1 o 49.8775 47.7121 330.25 1.54831\r\n0 4 3 4 1 o 59.3610 59.8408 359.98 1.54647\r\n7 4 2 8 1 o 262.7455 274.2209 310.46 1.54606\r\n1 4 3 8 1 o 147.7384 136.4066 132.28 1.54073\r\n6 2 3 8 1 o 191.4157 174.8289 63.32 1.53747\r\n10 3 1 8 1 o 468.4174 431.4873 50.31 1.53713\r\n8 5 0 4 1 o 73.9361 69.1647 180.09 1.53647\r\n5 5 2 8 1 o 1047.4507 993.5071 248.31 1.53567\r\n9 4 1 8 1 o 648.6392 629.0947 48.87 1.53103\r\n7 0 3 4 1 o 1196.7867 1146.7538 270.06 1.52890\r\n2 4 3 8 1 o 299.3787 306.8231 59.60 1.52389\r\n5 6 1 8 1 o 83.7645 86.0348 172.59 1.52338\r\n5 3 3 8 1 o 864.8391 874.4313 247.43 1.51885\r\n10 0 2 4 1 o 1133.3859 1187.7058 180.04 1.51747\r\n6 6 0 4 1 o 8.5043 9.0374 0.03 1.51672\r\n7 1 3 8 1 o 386.1410 342.8673 297.16 1.51314\r\n1 7 0 4 1 o 40.4809 33.0494 90.00 1.50437\r\n10 1 2 8 1 o 51.9892 47.0694 85.29 1.50206\r\n11 2 1 8 1 o 573.1323 513.2485 85.42 1.50074\r\n0 6 2 4 1 o 129.5645 114.5142 0.07 1.49989\r\n3 4 3 8 1 o 259.6113 237.9792 53.88 1.49701\r\n1 6 2 8 1 o 293.7394 286.2764 126.31 1.49466\r\n12 0 0 2 1 o 17.4990 15.6112 359.98 1.49165\r\n2 7 0 4 1 o 1082.3081 1206.2179 0.04 1.48868\r\n8 5 1 8 1 o 164.6391 153.4880 125.11 1.48391\r\n10 4 0 4 1 o 406.8623 387.5367 0.04 1.48190\r\n9 3 2 8 1 o 107.8167 103.2356 248.96 1.48159\r\n2 6 2 8 1 o 254.9059 249.9799 61.52 1.47927\r\n11 3 0 4 1 o 114.3093 103.1618 89.98 1.47726\r\n6 5 2 8 1 o 43.3384 38.5699 63.00 1.47704\r\n12 1 0 4 1 o 185.2387 164.6328 180.04 1.47701\r\n7 2 3 8 1 o 7.5416 11.7158 98.86 1.46865\r\n8 4 2 8 1 o 103.9925 103.4612 231.25 1.46619\r\n6 6 1 8 1 o 138.6798 137.8889 339.54 1.46609\r\n3 7 0 4 1 o 84.0078 88.6211 270.02 1.46359\r\n6 3 3 8 1 o 130.5052 138.6508 105.77 1.46205\r\n4 4 3 8 1 o 129.1413 133.1508 36.49 1.46165\r\n0 7 1 4 1 o 155.9823 142.8821 90.03 1.45976\r\n10 2 2 8 1 o 69.7368 63.0510 296.39 1.45852\r\n1 7 1 8 1 o 160.4211 140.4996 9.65 1.45493\r\n3 6 2 8 1 o 249.8646 215.6773 174.34 1.45464\r\n8 0 3 4 1 o 91.3502 61.9729 270.09 1.45154\r\n7 6 0 4 1 o 128.3905 86.5823 270.13 1.45054\r\n9 5 0 4 1 o 316.5220 236.4890 90.08 1.44843\r\n12 0 1 4 1 o 123.6600 121.0302 270.07 1.44342\r\n2 7 1 8 1 o 993.3185 1125.2820 6.42 1.44072\r\n8 1 3 8 1 o 45.4166 42.4681 290.23 1.43803\r\n12 2 0 4 1 o 64.3457 64.6180 0.06 1.43555\r\n10 4 1 8 1 o 14.2601 16.0239 47.52 1.43457\r\n0 0 4 2 1 o 128.9829 110.5525 0.07 1.43053\r\n4 7 0 4 1 o 17.4775 14.9754 180.02 1.43050\r\n11 3 1 8 1 o 384.9544 329.4344 35.43 1.43036\r\n12 1 1 8 1 o 201.8945 172.5739 314.46 1.43014\r\n1 0 4 4 1 o 28.0809 18.8659 0.17 1.42598\r\n4 6 2 8 1 o 14.1175 10.9718 251.89 1.42214\r\n5 4 3 8 1 o 1259.4360 1098.2747 68.37 1.41967\r\n3 7 1 8 1 o 32.4058 30.4604 125.15 1.41794\r\n0 1 4 4 1 o 713.8278 680.3589 90.05 1.41760\r\n0 5 3 4 1 o 211.7805 209.1486 270.04 1.41603\r\n7 5 2 8 1 o 445.9502 442.4462 172.87 1.41571\r\n11 0 2 4 1 o 885.6306 899.9298 0.05 1.41448\r\n1 1 4 8 1 o 107.2080 115.6269 95.37 1.41317\r\n2 0 4 4 1 o 337.6689 381.1399 0.06 1.41260\r\n1 5 3 8 1 o 123.2009 151.4928 85.75 1.41162\r\n7 6 1 8 1 o 483.6289 508.5161 305.25 1.40606\r\n9 5 1 8 1 o 211.3463 216.2695 284.56 1.40415\r\n7 3 3 8 1 o 175.0714 169.3929 119.13 1.40250\r\n11 1 2 8 1 o 244.5771 236.3351 251.44 1.40198\r\n2 1 4 8 1 o 594.3906 651.2679 199.71 1.40015\r\n8 2 3 8 1 o 29.1099 34.1180 85.69 1.39968\r\n2 5 3 8 1 o 10.7594 14.9590 322.78 1.39863\r\n10 3 2 8 1 o 601.3165 612.2534 205.98 1.39366\r\n12 2 1 8 1 o 617.6385 615.2599 207.37 1.39240\r\n3 0 4 4 1 o 195.8671 193.0935 180.01 1.39111\r\n5 7 0 4 1 o 85.5254 84.2662 90.04 1.39108\r\n9 4 2 8 1 o 248.6534 222.9185 338.62 1.38911\r\n4 7 1 8 1 o 22.4227 18.6493 324.47 1.38779\r\n11 4 0 4 1 o 173.6219 151.7338 90.08 1.38554\r\n8 6 0 4 1 o 212.9660 203.4762 180.11 1.38397\r\n5 6 2 8 1 o 1043.5552 1014.8193 35.80 1.38339\r\n0 2 4 4 1 o 32.4340 30.7942 180.10 1.38082\r\n3 1 4 8 1 o 57.8801 55.7226 230.22 1.37921\r\n3 5 3 8 1 o 100.6625 95.6059 79.76 1.37776\r\n1 2 4 8 1 o 84.6576 80.1952 155.82 1.37673\r\n9 0 3 4 1 o 220.9478 209.5353 270.11 1.37663\r\n12 3 0 4 1 o 587.6193 596.3290 0.06 1.37358\r\n6 4 3 8 1 o 111.0685 116.7241 175.88 1.37297\r\n11 2 2 8 1 o 422.5794 438.6124 29.51 1.36637\r\n10 5 0 4 1 o 7.9954 8.3098 180.30 1.36595\r\n13 1 0 4 1 o 149.9459 158.8634 270.03 1.36537\r\n9 1 3 8 1 o 82.5975 88.7820 120.12 1.36509\r\n2 2 4 8 1 o 0.0891 0.0982 44.30 1.36467\r\n4 0 4 4 1 o 443.0630 490.4429 0.05 1.36260\r\n8 5 2 8 1 o 78.1396 57.8723 85.18 1.35363\r\n5 7 1 8 1 o 48.0320 40.2218 238.56 1.35171\r\n4 1 4 8 1 o 11.8050 10.0481 298.66 1.35141\r\n4 5 3 8 1 o 461.6884 414.4883 121.39 1.35005\r\n6 7 0 4 1 o 0.2464 0.2316 181.60 1.34705\r\n11 4 1 8 1 o 371.1698 350.7289 279.43 1.34662\r\n3 2 4 8 1 o 570.8712 552.3034 87.60 1.34527\r\n8 6 1 8 1 o 166.2887 161.0882 45.62 1.34519\r\n8 3 3 8 1 o 110.0358 107.0789 35.43 1.34207\r\n6 6 2 8 1 o 181.2347 174.1615 214.41 1.34006\r\n13 0 1 4 1 o 75.9677 73.3770 90.06 1.33870\r\n12 3 1 8 1 o 347.4633 408.6020 348.13 1.33564\r\n0 7 2 4 1 o 255.1958 305.2726 270.08 1.33522\r\n13 2 0 4 1 o 530.3343 549.5426 90.07 1.33242\r\n9 2 3 8 1 o 114.3424 116.3743 76.19 1.33216\r\n1 7 2 8 1 o 101.1624 99.1979 74.82 1.33152\r\n10 5 1 8 1 o 135.7588 131.3797 244.27 1.32862\r\n5 0 4 4 1 o 1354.5209 1322.1514 180.05 1.32840\r\n13 1 1 8 1 o 19.4043 19.2202 177.93 1.32809\r\n0 3 4 4 1 o 126.7573 136.2598 270.05 1.32541\r\n7 4 3 8 1 o 638.1797 629.6389 75.07 1.32330\r\n12 0 2 4 1 o 0.2462 0.2434 359.46 1.32268\r\n1 3 4 8 1 o 70.1275 69.9354 280.65 1.32179\r\n0 8 0 2 1 o 222.6403 218.9390 0.09 1.32100\r\n2 7 2 8 1 o 194.1507 187.8103 239.43 1.32061\r\n4 2 4 8 1 o 590.0874 541.7635 31.68 1.31943\r\n9 6 0 4 1 o 0.0588 0.0532 269.90 1.31859\r\n5 1 4 8 1 o 42.7885 38.8444 301.09 1.31803\r\n1 8 0 4 1 o 69.5598 63.6150 270.04 1.31742\r\n5 5 3 8 1 o 430.8511 397.8816 20.28 1.31676\r\n10 4 2 8 1 o 371.5950 350.8458 58.74 1.31587\r\n11 3 2 8 1 o 73.9142 74.5025 182.08 1.31261\r\n12 1 2 8 1 o 0.0000 298.3715 356.26 1.31244\r\n6 7 1 8 1 o 0.0000 266.5339 123.64 1.31121\r\n2 3 4 8 1 o 0.0000 865.7108 64.37 1.31111\r\n2 8 0 4 1 o 0.0000 173.9344 0.05 1.30684\r\n10 0 3 4 1 o 0.0000 1.9859 90.30 1.30524\r\n3 7 2 8 1 o 0.0000 164.4303 287.30 1.30300\r\n\r\n"
  },
  {
    "path": "pyxtal/database/cifs/sim-0.vasp",
    "content": "Li4 P12 W8 O48\n1.0\n12.565191 0.000000 -8.947955\n0.000000 8.755882 0.000000\n0.000000 0.000000 8.931767\nW Li \n8 4  \ndirect\n0.109249 0.744985 0.325359 W\n0.609249 0.244985 0.325359 W\n0.890751 0.744985 0.674641 W\n0.390751 0.244985 0.674641 W\n0.109249 0.244831 0.825359 W\n0.609249 0.744831 0.825359 W\n0.890751 0.244831 0.174641 W\n0.390751 0.744831 0.174641 W\n0.250000 0.244908 0.250000 Li\n0.750000 0.744908 0.250000 Li\n0.750000 0.244908 0.750000 Li\n0.250000 0.744908 0.750000 Li\n"
  },
  {
    "path": "pyxtal/database/cifs/sim-1.vasp",
    "content": "Li4 W8\n1.0\n12.565191 0.000000 -8.915579\n0.000000 8.755882 0.000000\n0.000000 0.000000 8.931767\nW Li\n8  4 \ndirect\n 0.109249 0.749923 -0.606861 W\n 0.609249 0.249923 -0.606861 W\n 0.890751 0.749923  0.606861 W\n 0.390751 0.249923  0.606861 W\n 0.109249 0.250077  0.893139 W\n 0.609249 0.750077  0.893139 W\n 0.890751 0.250077 -0.893139 W\n 0.390751 0.750077 -0.893139 W\n 0.250000 0.250000  0.750000 Li\n 0.750000 0.750000  0.750000 Li\n 0.750000 0.250000  0.250000 Li\n 0.250000 0.750000  0.250000 Li\n"
  },
  {
    "path": "pyxtal/database/cifs/xxvi.cif",
    "content": "#======================================================================\n\n# CRYSTAL DATA\n\n#----------------------------------------------------------------------\n\ndata_VESTA_phase_1\n\n\n_chemical_name_common                  'C34 H22 Cl2 N2 O2'\n_cell_length_a                         10.4022(8)\n_cell_length_b                         11.0302(14)\n_cell_length_c                         14.179(1)\n_cell_angle_alpha                      76.829(8)\n_cell_angle_beta                       73.331(7)\n_cell_angle_gamma                      63.470(12)\n_space_group_name_H-M_alt              'P -1'\n_space_group_IT_number                 2\n\nloop_\n_space_group_symop_operation_xyz\n   'x, y, z'\n   '-x, -y, -z'\n\nloop_\n   _atom_site_label\n   _atom_site_occupancy\n   _atom_site_fract_x\n   _atom_site_fract_y\n   _atom_site_fract_z\n   Cl1        1.0     0.42324(8)    0.86294(10)   0.38315(5)   \n   Cl2        1.0     0.19704(11)   1.32826(10)   0.35242(7)   \n   O1         1.0     0.0265(2)     0.8255(2)     0.57289(11)  \n   O2         1.0     0.1949(4)     1.2898(2)     0.07664(16)  \n   N1         1.0     0.1339(2)     0.8332(2)     0.41005(13)  \n   H1         1.0     0.217(2)      0.814(2)      0.3696(17)   \n   N2         1.0     0.1416(2)     1.1655(2)     0.22127(14)  \n   H2         1.0     0.084(3)      1.169(3)      0.2766(14)   \n   C1         1.0     0.0351(2)     0.9550(2)     0.26655(16)  \n   C2         1.0    -0.0864(4)     1.0267(2)     0.21899(17)  \n   C3         1.0    -0.0703(4)     1.0836(4)     0.1183(2)    \n   H3         1.0     0.022200      1.075600      0.081000     \n   C4         1.0    -0.1901(4)     1.1503(4)     0.0756(2)    \n   H4         1.0    -0.177800      1.187100      0.009400     \n   C5         1.0    -0.3299(4)     1.1644(4)     0.1290(4)    \n   H5         1.0    -0.409800      1.209800      0.098400     \n   C6         1.0    -0.3497(4)     1.1121(4)     0.2254(2)    \n   H6         1.0    -0.443500      1.122100      0.260800     \n   C7         1.0    -0.2298(4)     1.0424(2)     0.27299(18)  \n   C8         1.0    -0.2475(4)     0.9871(4)     0.3730(2)    \n   H8         1.0    -0.341100      0.997100      0.409000     \n   C9         1.0    -0.1326(2)     0.9197(2)     0.41863(17)  \n   H9         1.0    -0.147800      0.883800      0.484900     \n   C10        1.0     0.0111(2)     0.9037(2)     0.36536(16)  \n   C11        1.0     0.1373(4)     0.8013(2)     0.50771(16)  \n   C12        1.0     0.2857(4)     0.7272(2)     0.53361(16)  \n   C13        1.0     0.2926(4)     0.6310(4)     0.6174(2)    \n   H13        1.0     0.208000      0.618200      0.651500     \n   C14        1.0     0.4201(4)     0.5551(4)     0.6507(2)    \n   H14        1.0     0.421400      0.490900      0.706200     \n   C15        1.0     0.5453(4)     0.5730(4)     0.6030(2)    \n   H15        1.0     0.632000      0.520900      0.625500     \n   C16        1.0     0.5427(4)     0.6686(4)     0.5213(2)    \n   H16        1.0     0.627300      0.682600      0.489400     \n   C17        1.0     0.4149(4)     0.7438(4)     0.48663(17)  \n   C18        1.0     0.1881(2)     0.9328(2)     0.20988(14)  \n   C19        1.0     0.2866(2)     0.8033(2)     0.17669(14)  \n   C20        1.0     0.2432(4)     0.6940(2)     0.19137(17)  \n   H20        1.0     0.148000      0.705600      0.224400     \n   C21        1.0     0.3402(4)     0.5722(4)     0.1573(2)    \n   H21        1.0     0.309600      0.502100      0.167100     \n   C22        1.0     0.4838(4)     0.5507(4)     0.1082(2)    \n   H22        1.0     0.548900      0.466200      0.087000     \n   C23        1.0     0.5287(4)     0.6526(4)     0.09156(17)  \n   H23        1.0     0.624400      0.638000      0.057500     \n   C24        1.0     0.4330(4)     0.7813(2)     0.12491(16)  \n   C25        1.0     0.4767(4)     0.8895(4)     0.10814(17)  \n   H25        1.0     0.572200      0.876400      0.074800     \n   C26        1.0     0.3826(4)     1.0120(4)     0.13948(17)  \n   H26        1.0     0.414600      1.081600      0.127900     \n   C27        1.0     0.2362(2)     1.0359(2)     0.18968(16)  \n   C28        1.0     0.1326(4)     1.2841(4)     0.1642(2)    \n   C29        1.0     0.0368(4)     1.4124(4)     0.2114(2)    \n   C30        1.0    -0.0710(4)     1.5121(4)     0.1622(4)    \n   H30        1.0    -0.082600      1.495900      0.104200     \n   C31        1.0    -0.1593(4)     1.6336(4)     0.1997(4)    \n   H31        1.0    -0.232400      1.699500      0.167800     \n   C32        1.0    -0.1410(5)     1.6590(4)     0.2841(4)    \n   H32        1.0    -0.202600      1.742000      0.308700     \n   C33        1.0    -0.0353(4)     1.5659(4)     0.3323(4)    \n   H33        1.0    -0.022900      1.584700      0.389000     \n   C34        1.0     0.0545(4)     1.4414(4)     0.2948(2)    \n#end\n"
  },
  {
    "path": "pyxtal/database/clusters.json",
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    2.386156866045076,\n          -0.528631776547168\n        ],\n        [\n          -0.254403596289563,\n          2.735371403181747,\n          -0.530471986409048\n        ],\n        [\n          0.822700349181687,\n          2.406289396410664,\n          -0.538009957950943\n        ],\n        [\n          1.887425800489835,\n          2.039795608958024,\n          -0.532637136824384\n        ],\n        [\n          2.551609225496523,\n          1.125684969790864,\n          -0.533004958794212\n        ],\n        [\n          2.571296475311354,\n          -1.368942281e-06,\n          -0.539248184679304\n        ],\n        [\n          2.551609384687616,\n          -1.12568767453272,\n          -0.532998484360365\n        ],\n        [\n          1.292599686182424,\n          -2.039895736684294,\n          -1.493312429362851\n        ],\n        [\n          0.225721305626438,\n          -2.386374310306704,\n          -1.492171877118016\n        ],\n        [\n          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],\n        [\n          2.351749430482495,\n          1.679362594539471,\n          -1.484504727500458\n        ],\n        [\n          2.367380747712462,\n          0.560729714062765,\n          -1.494136166027207\n        ],\n        [\n          2.367380827009715,\n          -0.560737972854942,\n          -1.494132940942116\n        ],\n        [\n          2.351749667973362,\n          -1.67937080012803,\n          -1.484495068549849\n        ],\n        [\n          0.523008950781551,\n          -1.487329838892042,\n          -2.101586485580392\n        ],\n        [\n          -0.552226178681823,\n          -1.82148481457913,\n          -2.08555716426175\n        ],\n        [\n          -1.225240589119497,\n          -0.919224751628042,\n          -2.10007871124987\n        ],\n        [\n          -1.875105388234097,\n          -6.128364845e-06,\n          -2.084928691601471\n        ],\n        [\n          -1.225240719112564,\n          0.91921249964902,\n          -2.10008399817578\n        ],\n        [\n          -0.552226436269742,\n          1.82147274128211,\n          -2.085567640576173\n        ],\n        [\n          0.523008740448795,\n          1.487317825463655,\n          -2.101595039988109\n        ],\n        [\n          1.589256649180015,\n          1.125747454333899,\n          -2.087656166997061\n        ],\n        [\n          1.603643642740317,\n          -5.932731485e-06,\n          -2.1024348192716\n        ],\n        [\n          1.589256808380586,\n          -1.125759236812741,\n          -2.087649692177726\n        ],\n        [\n          -0.257654157064559,\n          -0.914212924636639,\n          -2.675780192901861\n        ],\n        [\n          -0.921707403782454,\n          -7.758762278e-06,\n          -2.675313076997909\n        ],\n        [\n          -0.257654286348645,\n          0.91419749831868,\n          -2.675785450992901\n        ],\n        [\n          0.817034681582929,\n          0.56501186239525,\n          -2.676671108662089\n        ],\n        [\n          0.817034761486247,\n          -0.565027141833683,\n          -2.676667858927845\n        ],\n        [\n          0.038987555200302,\n          -9.339394091e-06,\n          -3.248571742187107\n        ],\n        [\n          -1.529557266861372,\n          8.722181574e-06,\n          3.07059634211547\n        ],\n        [\n          -2.300096225131465,\n          0.55951867928707,\n          2.482861963855874\n        ],\n        [\n          -2.300096146007044,\n          -0.55950472426175,\n          2.482865181911764\n        ]\n      ]\n    },\n    \"energy\": -893.310257879411,\n    \"url\": \"http://doye.chem.ox.ac.uk/jon/structures/LJ/points/150\",\n    \"pointgroup\": \"C3v\"\n  }\n]"
  },
  {
    "path": "pyxtal/database/collection.py",
    "content": "import json\nimport os.path as op\n\nfrom pymatgen.core.structure import Molecule\n\n\nclass Collection:\n    \"\"\"Collection of molecular data.\n    Used for obtaining pymatgen objects from a small database file.\n\n    Example of use:\n\n    >>> from pyxtal.database.collection import Collection\n    >>> test=Collection('molecules')\n    >>> test['H2O']\n    Molecule Summary\n    Site: O (0.0000, 0.0000, 0.0000)\n    Site: H (0.2774, 0.8929, 0.2544)\n    Site: H (0.6068, -0.2383, -0.7169)\n    >>> list(test)\n    ['C60', 'H2O', 'CH4', 'NH3', 'benzene', 'naphthalene', 'anthracene', 'tetracene', 'pentacene', 'coumarin', 'resorcinol', 'benzamide', 'aspirin', 'ddt', 'lindane', 'glycine', 'glucose', 'ROY']\n\n    Args:\n        name: the type of collection to get. Defaults to \"molecules\"\n    \"\"\"\n\n    def __init__(self, name=\"molecules\"):\n        \"\"\"Create a collection lazily.\n\n        Will read data from json file when needed.\n\n        A collection can be iterated over to get the Atoms objects and indexed\n        with names to get individual members.\n\n        Attributes:\n\n        name: str\n            Name of collection.\n        data: object\n            Pymetgen molecule object\n        filename: str\n            Location of json file.\n        \"\"\"\n\n        self.name = name\n        self._data = {}\n        self.filename = op.join(op.dirname(__file__), name + \".json\")\n        with open(self.filename) as f:\n            self.content = json.load(f)\n\n    def __getitem__(self, name):\n        self._read(name)\n        if len(self._data) == 0:\n            names = \"\"\n            for dct in self.content:\n                names += dct[\"name\"] + \", \"\n            msg = name + \" is not supported\\n\"\n            msg += \"Available molecules are:\\n\"\n            msg += names\n            raise NameError(msg)\n        else:\n            return self._data\n\n    def __iter__(self):\n        for dct in self.content:\n            yield dct[\"name\"]\n\n    def _read(self, name):\n        if self.name == \"molecules\":\n            \"\"\"\n            read the data by name and convert it to pymatgen format\n            \"\"\"\n            for dct in self.content:\n                if dct[\"name\"].lower() == name.lower():\n                    pos = dct[\"xyz\"]\n                    symbols = dct[\"elements\"]\n                    self._data = Molecule(symbols, pos)\n        elif self.name == \"clusters\":\n            for dct in self.content:\n                if dct[\"name\"] == int(name):\n                    self._data = dct\n\n    def show_names(self):\n        names = []\n        for dct in self.content:\n            names.append(dct[\"name\"])\n        print(names)\n"
  },
  {
    "path": "pyxtal/database/element.py",
    "content": "\"\"\"\nModule for handling atomic elements.\n\"\"\"\n\n\nclass Element:\n    \"\"\"\n    Class for storing and accessing atomic elements.\n\n    Args:\n        input_value: The atomic number, symbol, or name of the element\n    \"\"\"\n\n    def __init__(self, input_value):\n        self.input = input_value\n\n        # list with atomic number z, short name, full name, valence,\n        # mass, valence electrons, covalent radius, vdW radius, metallic radius\n        self.elements_list = [\n            (1, \"H\", \"Hydrogen\", 1.008, 1.0, 1, 0.31, 1.20, None),\n            (2, \"He\", \"Helium\", 4.0026, 0.5, 2, 0.28, 1.40, None),\n            (3, \"Li\", \"Lithium\", 6.94, 1.0, 1, 1.28, 1.82, 1.52),\n            (4, \"Be\", \"Beryllium\", 9.0122, 2.0, 2, 0.96, 1.53, 1.12),\n            (5, \"B\", \"Boron\", 10.81, 3.0, 3, 0.84, 1.92, None),\n            (6, \"C\", \"Carbon\", 12.011, 4.0, 4, 0.78, 1.70, None),\n            (7, \"N\", \"Nitrogen\", 14.007, 3.0, 5, 0.78, 1.55, None),\n            (8, \"O\", \"Oxygen\", 15.999, 2.0, 6, 0.70, 1.52, None),\n            (9, \"F\", \"Fluorine\", 18.998, 1.0, 7, 0.57, 1.47, None),\n            (10, \"Ne\", \"Neon\", 20.180, 0.5, 8, 0.58, 1.54, None),\n            (11, \"Na\", \"Sodium\", 22.990, 1.0, 1, 1.66, 2.27, 1.86),\n            (12, \"Mg\", \"Magnesium\", 24.305, 2.0, 2, 1.41, 1.73, 1.60),\n            (13, \"Al\", \"Aluminium\", 26.982, 3.0, 3, 1.21, 1.84, 1.43),\n            (14, \"Si\", \"Silicon\", 28.085, 4.0, 4, 1.11, 2.10, None),\n            (15, \"P\", \"Phosphorus\", 30.974, 3.0, 5, 1.07, 1.80, None),\n            (16, \"S\", \"Sulfur\", 32.06, 2.0, 6, 1.25, 1.80, None),\n            (17, \"Cl\", \"Chlorine\", 35.45, 1.0, 7, 1.02, 1.75, None),\n            (18, \"Ar\", \"Argon\", 39.948, 0.5, 8, 1.06, 1.88, None),\n            (19, \"K\", \"Potassium\", 39.098, 1.0, 1, 2.03, 2.75, 2.27),\n            (20, \"Ca\", \"Calcium\", 40.078, 2.0, 2, 1.76, 2.31, 1.97),\n            (21, \"Sc\", \"Scandium\", 44.956, 3.0, 3, 1.70, 2.11, 1.62),\n            (22, \"Ti\", \"Titanium\", 47.867, 4.0, 4, 1.60, 2.00, 1.47),\n            (23, \"V\", \"Vanadium\", 50.942, 4.0, 5, 1.53, 2.00, 1.34),\n            (24, \"Cr\", \"Chromium\", 51.996, 3.0, 6, 1.39, 2.00, 1.28),\n            (25, \"Mn\", \"Manganese\", 54.938, 4.0, 5, 1.39, 2.00, 1.27),\n            (26, \"Fe\", \"Iron\", 55.845, 3.0, 3, 1.32, 2.00, 1.26),\n            (27, \"Co\", \"Cobalt\", 58.933, 3.0, 3, 1.26, 2.00, 1.25),\n            (28, \"Ni\", \"Nickel\", 58.693, 2.0, 3, 1.24, 1.63, 1.24),\n            (29, \"Cu\", \"Copper\", 63.546, 2.0, 2, 1.32, 1.40, 1.28),\n            (30, \"Zn\", \"Zinc\", 65.38, 2.0, 2, 1.22, 1.39, 1.34),\n            (31, \"Ga\", \"Gallium\", 69.723, 3.0, 3, 1.22, 1.87, 1.35),\n            (32, \"Ge\", \"Germanium\", 72.63, 4.0, 4, 1.20, 2.11, None),\n            (33, \"As\", \"Arsenic\", 74.922, 3.0, 5, 1.19, 1.85, None),\n            (34, \"Se\", \"Selenium\", 78.96, 2.0, 6, 1.20, 1.90, None),\n            (35, \"Br\", \"Bromine\", 79.904, 1.0, 7, 1.20, 1.85, None),\n            (36, \"Kr\", \"Krypton\", 83.798, 0.5, 8, 1.16, 2.02, None),\n            (37, \"Rb\", \"Rubidium\", 85.468, 1.0, 1, 2.20, 3.03, 2.48),\n            (38, \"Sr\", \"Strontium\", 87.62, 2.0, 2, 1.95, 2.49, 2.15),\n            (39, \"Y\", \"Yttrium\", 88.906, 3.0, 3, 1.90, 2.00, 1.80),\n            (40, \"Zr\", \"Zirconium\", 91.224, 4.0, 4, 1.75, 2.00, 1.60),\n            (41, \"Nb\", \"Niobium\", 92.906, 5.0, 5, 1.64, 2.00, 1.46),\n            (42, \"Mo\", \"Molybdenum\", 95.95, 4.0, 6, 1.54, 2.00, 1.39),\n            (43, \"Tc\", \"Technetium\", 98.0, 4.0, 5, 1.47, 2.00, 1.36),\n            (44, \"Ru\", \"Ruthenium\", 101.07, 4.0, 3, 1.46, 2.00, 1.34),\n            (45, \"Rh\", \"Rhodium\", 102.91, 4.0, 3, 1.42, 1.63, 1.34),\n            (46, \"Pd\", \"Palladium\", 106.42, 4.0, 3, 1.39, 1.72, 1.37),\n            (47, \"Ag\", \"Silver\", 107.87, 1.0, 2, 1.45, 1.58, 1.44),\n            (48, \"Cd\", \"Cadmium\", 112.41, 2.0, 2, 1.44, 1.93, 1.51),\n            (49, \"In\", \"Indium\", 114.82, 3.0, 3, 1.42, 2.17, 1.67),\n            (50, \"Sn\", \"Tin\", 118.71, 4.0, 4, 1.39, 2.06, None),\n            (51, \"Sb\", \"Antimony\", 121.76, 3.0, 5, 1.39, 2.06, None),\n            (52, \"Te\", \"Tellurium\", 127.60, 2.0, 6, 1.38, 2.06, None),\n            (53, \"I\", \"Iodine\", 126.90, 1.0, 7, 1.39, 1.98, None),\n            (54, \"Xe\", \"Xenon\", 131.29, 0.5, 8, 1.40, 2.16, None),\n            (55, \"Cs\", \"Caesium\", 132.91, 1.0, 1, 2.44, 3.43, 2.65),\n            (56, \"Ba\", \"Barium\", 137.33, 2.0, 2, 2.15, 2.68, 2.22),\n            (57, \"La\", \"Lanthanum\", 138.91, 3.0, 3, 2.07, 2.10, 1.87),\n            (58, \"Ce\", \"Cerium\", 140.12, 4.0, 3, 2.04, 2.10, 1.818),\n            (59, \"Pr\", \"Praseodymium\", 140.91, 3.0, 3, 2.03, 2.10, 1.824),\n            (60, \"Nd\", \"Neodymium\", 144.24, 3.0, 3, 2.01, 2.10, 1.814),\n            (61, \"Pm\", \"Promethium\", 145.0, 3.0, 3, 1.99, 2.10, 1.834),\n            (62, \"Sm\", \"Samarium\", 150.36, 3.0, 3, 1.98, 2.10, 1.804),\n            (63, \"Eu\", \"Europium\", 151.96, 3.0, 3, 1.98, 2.10, 1.804),\n            (64, \"Gd\", \"Gadolinium\", 157.25, 3.0, 3, 1.96, 2.10, 1.804),\n            (65, \"Tb\", \"Terbium\", 158.93, 3.0, 3, 1.94, 2.10, 1.773),\n            (66, \"Dy\", \"Dysprosium\", 162.50, 3.0, 3, 1.92, 2.10, 1.781),\n            (67, \"Ho\", \"Holmium\", 164.93, 3.0, 3, 1.92, 2.10, 1.762),\n            (68, \"Er\", \"Erbium\", 167.26, 3.0, 3, 1.89, 2.10, 1.761),\n            (69, \"Tm\", \"Thulium\", 168.93, 3.0, 3, 1.90, 2.10, 1.759),\n            (70, \"Yb\", \"Ytterbium\", 173.05, 3.0, 3, 1.87, 2.10, 1.76),\n            (71, \"Lu\", \"Lutetium\", 174.97, 3.0, 3, 1.87, 2.10, 1.738),\n            (72, \"Hf\", \"Hafnium\", 178.49, 4.0, 3, 1.75, 2.10, 1.59),\n            (73, \"Ta\", \"Tantalum\", 180.95, 5.0, 3, 1.70, 2.10, 1.46),\n            (74, \"W\", \"Tungsten\", 183.84, 4.0, 3, 1.62, 2.10, 1.39),\n            (75, \"Re\", \"Rhenium\", 186.21, 4.0, 3, 1.51, 2.10, 1.37),\n            (76, \"Os\", \"Osmium\", 190.23, 4.0, 3, 1.44, 2.10, 1.35),\n            (77, \"Ir\", \"Iridium\", 192.22, 4.0, 3, 1.41, 2.10, 1.355),\n            (78, \"Pt\", \"Platinum\", 195.08, 4.0, 3, 1.36, 1.75, 1.385),\n            (79, \"Au\", \"Gold\", 196.97, 1.0, 3, 1.36, 1.66, 1.44),\n            (80, \"Hg\", \"Mercury\", 200.59, 2.0, 3, 1.32, 1.55, 1.51),\n            (81, \"Tl\", \"Thallium\", 204.38, 3.0, 3, 1.45, 1.96, 1.70),\n            (82, \"Pb\", \"Lead\", 207.2, 4.0, 4, 1.46, 2.02, None),\n            (83, \"Bi\", \"Bismuth\", 208.98, 3.0, 5, 1.48, 2.07, None),\n            (84, \"Po\", \"Polonium\", 209.0, 2.0, 6, 1.40, 1.97, None),\n            (85, \"At\", \"Astatine\", 210.0, 1.0, 7, 1.50, 2.02, None),\n            (86, \"Rn\", \"Radon\", 222.0, 0.5, 8, 1.50, 2.20, None),\n            (87, \"Fr\", \"Francium\", 223.0, 1.0, 1, 2.60, 3.48, None),\n            (88, \"Ra\", \"Radium\", 226.0, 2.0, 2, 2.21, 2.83, None),\n            (89, \"Ac\", \"Actinium\", 227.0, 3.0, 3, 2.15, 2.20, None),\n            (90, \"Th\", \"Thorium\", 232.04, 4.0, 3, 2.06, 2.20, 1.79),\n            (91, \"Pa\", \"Protactinium\", 231.04, 4.0, 3, 2.00, 2.20, 1.63),\n            (92, \"U\", \"Uranium\", 238.03, 4.0, 3, 1.96, 2.20, 1.56),\n            (93, \"Np\", \"Neptunium\", 237.0, 4.0, 3, 1.90, 2.20, 1.55),\n            (94, \"Pu\", \"Plutonium\", 244.0, 4.0, 3, 1.87, 2.20, 1.59),\n            (95, \"Am\", \"Americium\", 243.0, 4.0, 3, 1.80, 2.20, 1.73),\n            (96, \"Cm\", \"Curium\", 247.0, 4.0, 3, 1.69, 2.20, 1.74),\n            (97, \"Bk\", \"Berkelium\", 247.0, 4.0, 3, None, None, 1.70),\n            (98, \"Cf\", \"Californium\", 251.0, 4.0, 3, None, None, 1.86),\n            (99, \"Es\", \"Einsteinium\", 252.0, 4.0, 3, None, None, 1.86),\n            (100, \"Fm\", \"Fermium\", 257.0, 4.0, 3, None, None, None),\n            (101, \"Md\", \"Mendelevium\", 258.0, 4.0, 3, None, None, None),\n            (102, \"No\", \"Nobelium\", 259.0, 4.0, 3, None, None, None),\n            (103, \"Lr\", \"Lawrencium\", 262.0, 4.0, 3, None, None, None),\n            (104, \"Rf\", \"Rutherfordium\", 267.0, 4.0, 3, None, None, None),\n            (105, \"Db\", \"Dubnium\", 270.0, 2.0, 3, None, None, None),\n        ]\n        \"\"\"A list of atomic numbers, symbols, names, and other information, up\n        to atomic number 105\"\"\"\n\n        # scatter factor\n        self.sf = [\n            [0.493, 0.323, 0.140, 0.041, 10.511, 26.126, 3.142, 57.800, 0.003],\n            [0.873, 0.631, 0.311, 0.178, 9.104, 3.357, 22.928, 0.982, 0.006],\n            [1.128, 0.751, 0.618, 0.465, 3.955, 1.052, 85.391, 168.261, 0.038],\n            [1.592, 1.128, 0.539, 0.703, 43.643, 1.862, 103.483, 0.542, 0.038],\n            [2.055, 1.333, 1.098, 0.707, 23.219, 1.021, 60.350, 0.140, -0.193],\n            [2.310, 1.020, 1.589, 0.865, 20.844, 10.208, 0.569, 51.651, 0.216],\n            [12.213, 3.132, 2.013, 1.166, 0.006, 9.893, 28.997, 0.583, -11.529],\n            [3.049, 2.287, 1.546, 0.867, 13.277, 5.701, 0.324, 32.909, 0.251],\n            [3.539, 2.641, 1.517, 1.024, 10.283, 4.294, 0.262, 26.148, 0.278],\n            [3.955, 3.112, 1.455, 1.125, 8.404, 3.426, 0.231, 21.718, 0.352],\n            [4.763, 3.174, 1.267, 1.113, 3.285, 8.842, 0.314, 129.424, 0.676],\n            [5.420, 2.174, 1.227, 2.307, 2.828, 79.261, 0.381, 7.194, 0.858],\n            [6.420, 1.900, 1.594, 1.965, 3.039, 0.743, 31.547, 85.089, 1.115],\n            [6.292, 3.035, 1.989, 1.541, 2.439, 32.334, 0.678, 81.694, 1.141],\n            [6.435, 4.179, 1.780, 1.491, 1.907, 27.157, 0.526, 68.164, 1.115],\n            [6.905, 5.203, 1.438, 1.586, 1.468, 22.215, 0.254, 56.172, 0.867],\n            [11.460, 7.196, 6.256, 1.645, 0.010, 1.166, 18.519, 47.778, -9.557],\n            [7.484, 6.772, 0.654, 1.644, 0.907, 14.841, 43.898, 33.393, 1.444],\n            [8.219, 7.440, 1.052, 0.866, 12.795, 0.775, 213.187, 41.684, 1.423],\n            [8.627, 7.387, 1.590, 1.021, 10.442, 0.660, 85.748, 178.437, 1.375],\n            [9.189, 7.368, 1.641, 1.468, 9.021, 0.573, 136.108, 51.353, 1.333],\n            [9.759, 7.356, 1.699, 1.902, 7.851, 0.500, 35.634, 116.105, 1.281],\n            [10.297, 7.351, 2.070, 2.057, 6.866, 0.438, 26.894, 102.478, 1.220],\n            [10.641, 7.354, 3.324, 1.492, 6.104, 0.392, 20.263, 98.740, 1.183],\n            [11.282, 7.357, 3.019, 2.244, 5.341, 0.343, 17.867, 83.754, 1.090],\n            [11.769, 7.357, 3.522, 2.305, 4.761, 0.307, 15.354, 76.881, 1.037],\n            [12.284, 7.341, 4.003, 2.349, 4.279, 0.278, 13.536, 71.169, 1.012],\n            [12.838, 7.292, 4.444, 2.380, 3.878, 0.257, 12.176, 66.342, 1.034],\n            [13.338, 7.168, 5.616, 1.673, 3.583, 0.247, 11.397, 64.831, 1.191],\n            [14.074, 7.032, 5.165, 2.410, 3.266, 0.233, 10.316, 58.710, 1.304],\n            [15.235, 6.701, 4.359, 2.962, 3.067, 0.241, 10.781, 61.414, 1.719],\n            [16.082, 6.375, 3.707, 3.683, 2.851, 0.252, 11.447, 54.763, 2.131],\n            [16.672, 6.070, 3.431, 4.278, 2.635, 0.265, 12.948, 47.797, 2.531],\n            [17.001, 5.820, 3.973, 4.354, 2.410, 0.273, 15.237, 43.816, 2.841],\n            [17.179, 5.236, 5.638, 3.985, 2.172, 16.580, 0.261, 41.433, 2.956],\n            [17.355, 6.729, 5.549, 3.537, 1.938, 16.562, 0.226, 39.397, 2.825],\n            [17.178, 9.644, 5.140, 1.529, 1.789, 17.315, 0.275, 164.934, 3.487],\n            [17.566, 9.818, 5.422, 2.669, 1.556, 14.099, 0.166, 132.376, 2.506],\n            [17.776, 10.295, 5.726, 3.266, 1.403, 12.801, 0.261, 104.354, 1.912],\n            [17.876, 10.948, 5.417, 3.657, 1.276, 11.916, 0.118, 87.663, 2.069],\n            [17.614, 12.014, 4.042, 3.533, 1.189, 11.766, 0.205, 69.796, 3.756],\n            [3.703, 17.236, 12.888, 3.743, 0.277, 1.096, 11.004, 61.658, 4.387],\n            [19.130, 11.095, 4.649, 2.713, 0.864, 8.145, 21.571, 86.847, 5.404],\n            [19.267, 12.918, 4.863, 1.568, 0.809, 8.435, 24.800, 94.293, 5.379],\n            [19.296, 14.350, 4.734, 1.289, 0.752, 8.218, 25.875, 98.606, 5.328],\n            [19.332, 15.502, 5.295, 0.606, 0.699, 7.989, 25.205, 76.899, 5.266],\n            [19.281, 16.688, 4.805, 1.046, 0.645, 7.473, 24.660, 99.816, 5.179],\n            [19.221, 17.644, 4.461, 1.603, 0.595, 6.909, 24.701, 87.482, 5.069],\n            [19.162, 18.560, 4.295, 2.040, 0.548, 6.378, 25.850, 92.803, 4.939],\n            [19.189, 19.101, 4.458, 2.466, 5.830, 0.503, 26.891, 83.957, 4.782],\n            [19.642, 19.045, 5.037, 2.683, 5.303, 0.461, 27.907, 75.283, 4.591],\n            [19.964, 19.014, 6.145, 2.524, 4.817, 0.421, 28.528, 70.840, 4.352],\n            [20.147, 18.995, 7.514, 2.273, 4.347, 0.381, 27.766, 66.878, 4.071],\n            [20.293, 19.030, 8.977, 1.990, 3.928, 0.344, 26.466, 64.266, 3.712],\n            [20.389, 19.106, 10.662, 1.495, 3.569, 0.311, 24.388, 213.904, 3.335],\n            [20.336, 19.297, 10.888, 2.696, 3.216, 0.276, 20.207, 167.202, 2.773],\n            [20.578, 19.599, 11.373, 3.287, 2.948, 0.244, 18.773, 133.124, 2.147],\n            [21.167, 19.770, 11.851, 3.330, 2.812, 0.227, 17.608, 127.113, 1.863],\n            [22.044, 19.670, 12.386, 2.824, 2.774, 0.222, 16.767, 143.644, 2.058],\n            [22.684, 19.685, 12.774, 2.851, 2.662, 0.211, 15.885, 137.903, 1.985],\n            [23.340, 19.610, 13.123, 2.875, 2.563, 0.202, 15.101, 132.721, 2.029],\n            [24.004, 19.426, 13.440, 2.896, 2.473, 0.196, 14.400, 128.007, 2.210],\n            [24.627, 19.089, 13.760, 2.293, 2.388, 0.194, 13.755, 123.174, 2.575],\n            [25.071, 19.080, 13.852, 3.545, 2.253, 0.182, 12.933, 101.398, 2.420],\n            [25.898, 18.219, 14.317, 2.954, 2.243, 0.196, 12.665, 115.362, 3.583],\n            [26.507, 17.638, 14.560, 2.966, 2.180, 0.202, 12.190, 111.874, 4.297],\n            [26.905, 17.294, 14.558, 3.638, 2.071, 0.198, 11.441, 92.657, 4.568],\n            [27.656, 16.428, 14.978, 2.982, 2.074, 0.224, 11.360, 105.703, 5.920],\n            [28.182, 15.885, 15.154, 2.987, 2.029, 0.239, 10.998, 102.961, 6.756],\n            [28.664, 15.434, 15.309, 2.990, 1.989, 0.257, 10.665, 100.417, 7.567],\n            [28.948, 15.221, 15.100, 3.716, 1.902, 9.985, 0.261, 84.330, 7.976],\n            [29.144, 15.173, 14.759, 4.300, 1.833, 9.600, 0.275, 72.029, 8.582],\n            [29.202, 15.229, 14.514, 4.765, 1.773, 9.370, 0.296, 63.364, 9.244],\n            [0.000, 0.000, 0.000, 0.000, 1.722, 9.231, 0.323, 57.725, 9.858],\n            [28.762, 15.719, 14.556, 5.442, 1.672, 9.092, 0.350, 52.086, 10.472],\n            [28.189, 16.155, 14.931, 5.676, 1.629, 8.979, 0.383, 48.165, 11.000],\n            [27.305, 16.730, 15.611, 5.834, 1.593, 8.866, 0.418, 45.001, 11.472],\n            [27.006, 17.764, 15.713, 5.784, 1.513, 8.812, 0.425, 38.610, 11.688],\n            [16.882, 18.591, 25.558, 5.860, 0.461, 8.622, 1.483, 36.396, 12.066],\n            [20.681, 19.042, 21.657, 5.968, 0.545, 8.448, 1.573, 38.325, 12.609],\n            [27.545, 19.158, 15.538, 5.526, 0.655, 8.708, 1.963, 45.815, 13.175],\n            [31.062, 13.064, 18.442, 5.970, 0.690, 2.358, 8.618, 47.258, 13.412],\n            [33.369, 12.951, 16.588, 6.469, 0.704, 2.924, 8.794, 48.009, 13.578],\n            [0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000],\n            [0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000],\n            [0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000],\n            [0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000],\n            [0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000],\n            [35.660, 23.103, 12.598, 4.087, 0.589, 3.652, 18.599, 117.020, 13.527],\n            [35.564, 23.422, 12.747, 4.807, 0.563, 3.462, 17.831, 99.172, 13.431],\n            [35.885, 23.295, 14.189, 4.173, 0.548, 3.415, 16.924, 105.251, 13.429],\n            [0.000, 0.000, 0.000, 0.000, 0.530, 3.335, 16.143, 101.371, 13.393],\n            [36.187, 23.596, 15.640, 4.186, 0.512, 3.254, 15.362, 97.491, 13.357],\n            [36.526, 23.808, 16.771, 3.479, 0.499, 3.264, 14.946, 105.980, 13.381],\n        ]\n        \"\"\"A list of scatter factors for the elements\"\"\"\n\n        self.z = None\n        self.short_name = None\n        self.long_name = None\n        self.mass = None\n        self.valence = None\n        self.valence_electrons = None\n        self.covalent_radius = None\n        self.vdw_radius = None\n        self.metallic_radius = None\n\n        pos = None\n\n        try:\n            int(self.input)\n            self.z = self.input\n\n            for i, el in enumerate(self.elements_list):\n                if el[0] == self.z:\n                    pos = i\n                    self.short_name = el[1]\n                    self.long_name = el[2]\n                    break\n        except ValueError:\n            self.short_name = self.input\n            for i, el in enumerate(self.elements_list):\n                if el[1] == self.short_name:\n                    pos = i\n                    self.z = el[0]\n                    self.long_name = el[2]\n                    break\n\n            if not self.z:\n                self.short_name = None\n                self.long_name = self.input\n                for i, el in enumerate(self.elements_list):\n                    if el[2] == self.long_name:\n                        pos = i\n                        self.z = el[0]\n                        self.short_name = el[1]\n                        break\n                if not self.z:\n                    self.long_name = None\n\n        if pos is not None:\n            self.mass = self.elements_list[pos][3]\n            self.valence = self.elements_list[pos][4]\n            self.valence_electrons = self.elements_list[pos][5]\n            self.covalent_radius = self.elements_list[pos][6]\n            self.vdw_radius = self.elements_list[pos][7]\n            self.metallic_radius = self.elements_list[pos][8]\n            if pos < len(self.sf):\n                self.scatter = self.sf[pos]\n\n    def get_all(self, pos):\n        \"\"\"\n        Return all [pos] elements in the full element list\n\n        Args:\n            pos: the index of the elements to retrieve\n\n        Returns:\n            a list containing only the [pos] elements of self.elements_list\n        \"\"\"\n        els = []\n        for el in self.elements_list:\n            els.append(el[pos])\n        return els\n\n    def get_sf(self, pos):\n        \"\"\"\n        Get the scattering factor for an element.\n\n        Args:\n            pos: the atomic number of the element\n\n        Returns:\n            the scattering factor of the element\n        \"\"\"\n        els = []\n        for el in self.sf:\n            els.append(el[pos])\n        return els\n\n    def all_z(self):\n        return self.get_all(0)\n\n    def all_short_names(self):\n        return self.get_all(1)\n\n    def all_long_names(self):\n        return self.get_all(2)\n\n    def all_masses(self):\n        return self.get_all(3)\n\n    def all_valences(self):\n        return self.get_all(4)\n\n    def all_valence_electrons(self):\n        return self.get_all(5)\n\n    def all_covalent_radii(self):\n        return self.get_all(6)\n\n    def all_vdw_radii(self):\n        return self.get_all(7)\n\n    def all_metallic_radii(self):\n        return self.get_all(8)\n\n    def get_sf(self):\n        return self.get_sf()\n\n    def number_from_specie(specie):\n        if type(specie) == int or type(specie) == float:\n            if specie <= 105 and specie >= 1:\n                index = int(specie)\n            else:\n                print(specie)\n                print(\"Error: Atomic number must be between 1 and 105.\")\n                return None\n        elif type(specie) == str:\n            try:\n                el = Element(specie)\n                index = el.z\n            except:\n                print(\"Error: Invalid atomic symbol, name, or number.\")\n                return None\n        elif type(specie) == Element:\n            try:\n                index = specie.z\n            except:\n                print(\"Error: Element object has no atomic number 'z'.\")\n                return None\n        else:\n            try:\n                el = Element(specie.number)\n                index = el.z\n            except:\n                print(\"Error: Invalid atomic symbol, name, or number.\")\n                return None\n        return index\n\nif __name__ == \"__main__\":\n    el = Element(\"Fe\")\n    print(el.z)\n    print(el.mass)\n    print(el.covalent_radius)\n    print(el.scatter)\n    print(el.all_masses())\n"
  },
  {
    "path": "pyxtal/database/k_subgroup.json",
    "content": 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",0\n0,\n1,\"[['x,y,z']]\"\n2,\"[['x,y,z','-x,-y,-z'],['1/2,1/2,0'],['1/2,0,0'],['0,1/2,0'],['0,0,0']]\"\n3,\"[['x,y,z','-x,-y,z'],['1/2,1/2,z'],['1/2,0,z'],['0,1/2,z'],['0,0,z']]\"\n4,\"[['x,y,z','x,y,-z'],['x,y,0']]\"\n5,\"[['x,y,z','x+1/2,y,-z']]\"\n6,\"[['x,y,z','-x,-y,z','-x,-y,-z','x,y,-z'],['x,y,0','-x,-y,0'],['1/2,1/2,z','1/2,1/2,-z'],['1/2,0,z','1/2,0,-z'],['0,1/2,z','0,1/2,-z'],['0,0,z','0,0,-z'],['1/2,1/2,0'],['0,1/2,0'],['1/2,0,0'],['0,0,0']]\"\n7,\"[['x,y,z','-x+1/2,-y,z','-x,-y,-z','x+1/2,y,-z'],['1/4,1/2,z','3/4,1/2,-z'],['1/4,0,z','3/4,0,-z'],['0,1/2,0','1/2,1/2,0'],['0,0,0','1/2,0,0']]\"\n8,\"[['x,y,z','x,-y,-z'],['x,1/2,0'],['x,0,0']]\"\n9,\"[['x,y,z','x+1/2,-y,-z']]\"\n10,\"[['x,y,z','x,-y,-z','x+1/2,y+1/2,z','x+1/2,-y+1/2,-z'],['x,0,0','x+1/2,1/2,0']]\"\n11,\"[['x,y,z','-x,y,z'],['1/2,y,z'],['0,y,z']]\"\n12,\"[['x,y,z','-x,y+1/2,z']]\"\n13,\"[['x,y,z','-x,y,z','x+1/2,y+1/2,z','-x+1/2,y+1/2,z'],['0,y,z','1/2,y+1/2,z']]\"\n14,\"[['x,y,z','x,-y,-z','-x,-y,-z','-x,y,z'],['1/2,y,z','1/2,-y,-z'],['0,y,z','0,-y,-z'],['x,1/2,0','-x,1/2,0'],['x,0,0','-x,0,0'],['1/2,1/2,0'],['0,1/2,0'],['1/2,0,0'],['0,0,0']]\"\n15,\"[['x,y,z','x+1/2,-y,-z','-x,-y,-z','-x+1/2,y,z'],['1/4,y,z','3/4,-y,-z'],['0,1/2,0','1/2,1/2,0'],['0,0,0','1/2,0,0']]\"\n16,\"[['x,y,z','x,-y+1/2,-z','-x,-y,-z','-x,y+1/2,z'],['x,1/4,0','-x,3/4,0'],['1/2,0,0','1/2,1/2,0'],['0,0,0','0,1/2,0']]\"\n17,\"[['x,y,z','x+1/2,-y+1/2,-z','-x,-y,-z','-x+1/2,y+1/2,z'],['0,1/2,0','1/2,0,0'],['0,0,0','1/2,1/2,0']]\"\n18,\"[['x,y,z','x,-y,-z','-x,-y,-z','-x,y,z','x+1/2,y+1/2,z','x+1/2,-y+1/2,-z','-x+1/2,-y+1/2,-z','-x+1/2,y+1/2,z'],['0,y,z','0,-y,-z','1/2,y+1/2,z','1/2,-y+1/2,-z'],['x,0,0','-x,0,0','x+1/2,1/2,0','-x+1/2,1/2,0'],['1/4,1/4,0','1/4,3/4,0','3/4,3/4,0','3/4,5/4,0'],['1/2,0,0','1,1/2,0'],['0,0,0','1/2,1/2,0']]\"\n19,\"[['x,y,z','-x,-y,z','-x,y,-z','x,-y,-z'],['1/2,1/2,z','1/2,1/2,-z'],['0,1/2,z','0,1/2,-z'],['1/2,0,z','1/2,0,-z'],['0,0,z','0,0,-z'],['1/2,y,0','1/2,-y,0'],['0,y,0','0,-y,0'],['x,1/2,0','-x,1/2,0'],['x,0,0','-x,0,0'],['1/2,1/2,0'],['0,1/2,0'],['1/2,0,0'],['0,0,0']]\"\n20,\"[['x,y,z','x+1/2,-y,-z','-x+1/2,y,-z','-x,-y,z'],['1/4,y,0','3/4,-y,0'],['0,1/2,z','1/2,1/2,-z'],['0,0,z','1/2,0,-z']]\"\n21,\"[['x,y,z','-x,-y,z','-x+1/2,y+1/2,-z','x+1/2,-y+1/2,-z'],['0,1/2,z','1/2,0,-z'],['0,0,z','1/2,1/2,-z']]\"\n22,\"[['x,y,z','-x,-y,z','-x,y,-z','x,-y,-z','x+1/2,y+1/2,z','-x+1/2,-y+1/2,z','-x+1/2,y+1/2,-z','x+1/2,-y+1/2,-z'],['1/4,1/4,z','3/4,1/4,-z','3/4,3/4,z','5/4,3/4,-z'],['0,1/2,z','0,1/2,-z','1/2,1,z','1/2,1,-z'],['0,0,z','0,0,-z','1/2,1/2,z','1/2,1/2,-z'],['0,y,0','0,-y,0','1/2,y+1/2,0','1/2,-y+1/2,0'],['x,0,0','-x,0,0','x+1/2,1/2,0','-x+1/2,1/2,0'],['0,1/2,0','1/2,1,0'],['0,0,0','1/2,1/2,0']]\"\n23,\"[['x,y,z','-x,-y,z','x,-y,z','-x,y,z'],['1/2,y,z','1/2,-y,z'],['0,y,z','0,-y,z'],['x,1/2,z','-x,1/2,z'],['x,0,z','-x,0,z'],['1/2,1/2,z'],['1/2,0,z'],['0,1/2,z'],['0,0,z']]\"\n24,\"[['x,y,z','-x,-y,z','x+1/2,-y,z','-x+1/2,y,z'],['1/4,y,z','3/4,-y,z'],['0,1/2,z','1/2,1/2,z'],['0,0,z','1/2,0,z']]\"\n25,\"[['x,y,z','-x,-y,z','x+1/2,-y+1/2,z','-x+1/2,y+1/2,z'],['0,1/2,z','1/2,0,z'],['0,0,z','1/2,1/2,z']]\"\n26,\"[['x,y,z','-x,-y,z','x,-y,z','-x,y,z','x+1/2,y+1/2,z','-x+1/2,-y+1/2,z','x+1/2,-y+1/2,z','-x+1/2,y+1/2,z'],['0,y,z','0,-y,z','1/2,y+1/2,z','1/2,-y+1/2,z'],['x,0,z','-x,0,z','x+1/2,1/2,z','-x+1/2,1/2,z'],['1/4,1/4,z','1/4,3/4,z','3/4,3/4,z','3/4,5/4,z'],['0,1/2,z','1/2,1,z'],['0,0,z','1/2,1/2,z']]\"\n27,\"[['x,y,z','-x,y,-z','-x,y,z','x,y,-z'],['x,y,0','-x,y,0'],['1/2,y,z','1/2,y,-z'],['0,y,z','0,y,-z'],['1/2,y,0'],['0,y,0']]\"\n28,\"[['x,y,z','-x,y+1/2,-z','x,y+1/2,-z','-x,y,z'],['1/2,y,z','1/2,y+1/2,-z'],['0,y,z','0,y+1/2,-z']]\"\n29,\"[['x,y,z','-x,y+1/2,-z','-x,y+1/2,z','x,y,-z'],['x,y,0','-x,y+1/2,0']]\"\n30,\"[['x,y,z','-x,y,-z','x,y+1/2,-z','-x,y+1/2,z'],['1/2,y,0','1/2,y+1/2,0'],['0,y,0','0,y+1/2,0']]\"\n31,\"[['x,y,z','-x,y,-z','x+1/2,y,-z','-x+1/2,y,z'],['1/4,y,z','3/4,y,-z'],['0,y,0','1/2,y,0']]\"\n32,\"[['x,y,z','-x+1/2,y+1/2,-z','x+1/2,y+1/2,-z','-x,y,z'],['0,y,z','1/2,y+1/2,-z']]\"\n33,\"[['x,y,z','-x,y+1/2,-z','x+1/2,y,-z','-x+1/2,y+1/2,z']]\"\n34,\"[['x,y,z','-x,y,-z','-x+1/2,y+1/2,z','x+1/2,y+1/2,-z'],['0,y,0','1/2,y+1/2,0']]\"\n35,\"[['x,y,z','-x,y,-z','-x,y,z','x,y,-z','x+1/2,y+1/2,z','-x+1/2,y+1/2,-z','-x+1/2,y+1/2,z','x+1/2,y+1/2,-z'],['x,y,0','-x,y,0','x+1/2,y+1/2,0','-x+1/2,y+1/2,0'],['0,y,z','0,y,-z','1/2,y+1/2,z','1/2,y+1/2,-z'],['0,y,0','1/2,y+1/2,0']]\"\n36,\"[['x,y,z','-x,y,-z','-x+1/2,y,z','x+1/2,y,-z','x+1/2,y+1/2,z','-x+1/2,y+1/2,-z','-x+1,y+1/2,z','x+1,y+1/2,-z'],['1/4,y,z','3/4,y,-z','3/4,y+1/2,z','5/4,y+1/2,-z'],['0,y,0','1/2,y,0','1/2,y+1/2,0','1,y+1/2,0']]\"\n37,\"[['x,y,z','-x,-y,z','-x,y,-z','x,-y,-z','-x,-y,-z','x,y,-z','x,-y,z','-x,y,z'],['x,y,0','-x,-y,0','-x,y,0','x,-y,0'],['x,1/2,z','-x,1/2,z','-x,1/2,-z','x,1/2,-z'],['x,0,z','-x,0,z','-x,0,-z','x,0,-z'],['1/2,y,z','1/2,-y,z','1/2,y,-z','1/2,-y,-z'],['0,y,z','0,-y,z','0,y,-z','0,-y,-z'],['1/2,1/2,z','1/2,1/2,-z'],['1/2,0,z','1/2,0,-z'],['0,1/2,z','0,1/2,-z'],['0,0,z','0,0,-z'],['1/2,y,0','1/2,-y,0'],['0,y,0','0,-y,0'],['x,1/2,0','-x,1/2,0'],['x,0,0','-x,0,0'],['1/2,1/2,0'],['0,1/2,0'],['1/2,0,0'],['0,0,0']]\"\n38,\"[['x,y,z','x,-y,-z','-x+1/2,-y,z','-x+1/2,y,-z','-x,-y,-z','-x,y,z','x+1/2,y,-z','x+1/2,-y,z'],['0,y,z','0,-y,-z','1/2,-y,z','1/2,y,-z'],['x,1/2,0','-x+1/2,1/2,0','-x,1/2,0','x+1/2,1/2,0'],['x,0,0','-x+1/2,0,0','-x,0,0','x+1/2,0,0'],['1/4,1/2,z','1/4,1/2,-z','3/4,1/2,-z','3/4,1/2,z'],['1/4,0,z','1/4,0,-z','3/4,0,-z','3/4,0,z'],['1/4,y,0','1/4,-y,0','3/4,-y,0','3/4,y,0'],['1/4,1/2,0','3/4,1/2,0'],['1/4,0,0','3/4,0,0'],['0,1/2,0','1/2,1/2,0'],['0,0,0','1/2,0,0']]\"\n39,\"[['x,y,z','-x+1/2,-y+1/2,z','-x+1/2,y,-z','x,-y+1/2,-z','-x,-y,-z','x+1/2,y+1/2,-z','x+1/2,-y,z','-x,y+1/2,z'],['1/4,3/4,z','1/4,3/4,-z','3/4,1/4,-z','3/4,1/4,z'],['1/4,1/4,z','1/4,1/4,-z','3/4,3/4,-z','3/4,3/4,z'],['1/4,y,0','1/4,-y+1/2,0','3/4,-y,0','3/4,y+1/2,0'],['x,1/4,0','-x+1/2,1/4,0','-x,3/4,0','x+1/2,3/4,0'],['0,0,0','1/2,1/2,0','1/2,0,0','0,1/2,0'],['3/4,1/4,0','1/4,3/4,0'],['1/4,1/4,0','3/4,3/4,0']]\"\n40,\"[['x,y,z','-x+1/2,y,-z','-x,-y,z','x+1/2,-y,-z','-x,-y,-z','x+1/2,-y,z','x,y,-z','-x+1/2,y,z'],['1/4,y,z','1/4,y,-z','3/4,-y,z','3/4,-y,-z'],['x,y,0','-x+1/2,y,0','-x,-y,0','x+1/2,-y,0'],['0,1/2,z','1/2,1/2,-z','0,1/2,-z','1/2,1/2,z'],['0,0,z','1/2,0,-z','0,0,-z','1/2,0,z'],['1/4,y,0','3/4,-y,0'],['0,1/2,0','1/2,1/2,0'],['0,0,0','1/2,0,0']]\"\n41,\"[['x,y,z','-x+1/2,-y,z','-x,y,-z','x+1/2,-y,-z','-x,-y,-z','x+1/2,y,-z','x,-y,z','-x+1/2,y,z'],['1/4,y,z','1/4,-y,z','3/4,y,-z','3/4,-y,-z'],['x,1/2,z','-x+1/2,1/2,z','-x,1/2,-z','x+1/2,1/2,-z'],['x,0,z','-x+1/2,0,z','-x,0,-z','x+1/2,0,-z'],['0,y,0','1/2,-y,0','0,-y,0','1/2,y,0'],['1/4,1/2,z','3/4,1/2,-z'],['1/4,0,z','3/4,0,-z'],['0,1/2,0','1/2,1/2,0'],['0,0,0','1/2,0,0']]\"\n42,\"[['x,y,z','-x+1/2,y+1/2,-z','-x+1/2,-y+1/2,z','x,-y,-z','-x,-y,-z','x+1/2,-y+1/2,z','x+1/2,y+1/2,-z','-x,y,z'],['0,y,z','1/2,y+1/2,-z','1/2,-y+1/2,z','0,-y,-z'],['1/4,1/4,z','1/4,3/4,-z','3/4,3/4,-z','3/4,1/4,z'],['x,0,0','-x+1/2,1/2,0','-x,0,0','x+1/2,1/2,0'],['1/2,0,0','0,1/2,0'],['0,0,0','1/2,1/2,0']]\"\n43,\"[['x,y,z','x,-y+1/2,-z','-x+1/2,-y,z','-x+1/2,y+1/2,-z','-x,-y,-z','-x,y+1/2,z','x+1/2,y,-z','x+1/2,-y+1/2,z'],['x,1/4,0','-x+1/2,3/4,0','-x,3/4,0','x+1/2,1/4,0'],['1/4,0,z','1/4,1/2,-z','3/4,0,-z','3/4,1/2,z'],['0,0,0','0,1/2,0','1/2,0,0','1/2,1/2,0']]\"\n44,\"[['x,y,z','-x,-y,z','-x+1/2,y+1/2,-z','x+1/2,-y+1/2,-z','-x,-y,-z','x,y,-z','x+1/2,-y+1/2,z','-x+1/2,y+1/2,z'],['x,y,0','-x,-y,0','-x+1/2,y+1/2,0','x+1/2,-y+1/2,0'],['0,1/2,z','1/2,0,-z','0,1/2,-z','1/2,0,z'],['0,0,z','1/2,1/2,-z','0,0,-z','1/2,1/2,z'],['0,1/2,0','1/2,0,0'],['0,0,0','1/2,1/2,0']]\"\n45,\"[['x,y,z','-x,y+1/2,-z','x+1/2,-y+1/2,-z','-x+1/2,-y,z','-x,-y,-z','x,-y+1/2,z','-x+1/2,y+1/2,z','x+1/2,y,-z'],['x,1/4,z','-x,3/4,-z','x+1/2,1/4,-z','-x+1/2,3/4,z'],['1/4,0,z','3/4,1/2,-z','3/4,0,-z','1/4,1/2,z'],['0,0,0','0,1/2,0','1/2,1/2,0','1/2,0,0']]\"\n46,\"[['x,y,z','-x+1/2,-y+1/2,z','-x,y+1/2,-z','x+1/2,-y,-z','-x,-y,-z','x+1/2,y+1/2,-z','x,-y+1/2,z','-x+1/2,y,z'],['x,1/4,z','-x+1/2,1/4,z','-x,3/4,-z','x+1/2,3/4,-z'],['1/4,y,z','1/4,-y+1/2,z','3/4,y+1/2,-z','3/4,-y,-z'],['0,0,0','1/2,1/2,0','0,1/2,0','1/2,0,0'],['1/4,3/4,z','3/4,1/4,-z'],['1/4,1/4,z','3/4,3/4,-z']]\"\n47,\"[['x,y,z','-x,-y,z','-x,y,-z','x,-y,-z','-x,-y,-z','x,y,-z','x,-y,z','-x,y,z','x+1/2,y+1/2,z','-x+1/2,-y+1/2,z','-x+1/2,y+1/2,-z','x+1/2,-y+1/2,-z','-x+1/2,-y+1/2,-z','x+1/2,y+1/2,-z','x+1/2,-y+1/2,z','-x+1/2,y+1/2,z'],['x,y,0','-x,-y,0','-x,y,0','x,-y,0','x+1/2,y+1/2,0','-x+1/2,-y+1/2,0','-x+1/2,y+1/2,0','x+1/2,-y+1/2,0'],['x,0,z','-x,0,z','-x,0,-z','x,0,-z','x+1/2,1/2,z','-x+1/2,1/2,z','-x+1/2,1/2,-z','x+1/2,1/2,-z'],['0,y,z','0,-y,z','0,y,-z','0,-y,-z','1/2,y+1/2,z','1/2,-y+1/2,z','1/2,y+1/2,-z','1/2,-y+1/2,-z'],['1/4,1/4,z','3/4,1/4,-z','3/4,3/4,-z','1/4,3/4,z','3/4,3/4,z','5/4,3/4,-z','5/4,5/4,-z','3/4,5/4,z'],['0,1/2,z','0,1/2,-z','1/2,1,z','1/2,1,-z'],['0,0,z','0,0,-z','1/2,1/2,z','1/2,1/2,-z'],['0,y,0','0,-y,0','1/2,y+1/2,0','1/2,-y+1/2,0'],['x,0,0','-x,0,0','x+1/2,1/2,0','-x+1/2,1/2,0'],['1/4,1/4,0','3/4,1/4,0','3/4,3/4,0','5/4,3/4,0'],['1/2,0,0','1,1/2,0'],['0,0,0','1/2,1/2,0']]\"\n48,\"[['x,y,z','-x,-y+1/2,z','-x,y+1/2,-z','x,-y,-z','-x,-y,-z','x,y+1/2,-z','x,-y+1/2,z','-x,y,z','x+1/2,y+1/2,z','-x+1/2,-y+1,z','-x+1/2,y+1,-z','x+1/2,-y+1/2,-z','-x+1/2,-y+1/2,-z','x+1/2,y+1,-z','x+1/2,-y+1,z','-x+1/2,y+1/2,z'],['x,1/4,z','-x,1/4,z','-x,3/4,-z','x,3/4,-z','x+1/2,3/4,z','-x+1/2,3/4,z','-x+1/2,5/4,-z','x+1/2,5/4,-z'],['0,y,z','0,-y+1/2,z','0,y+1/2,-z','0,-y,-z','1/2,y+1/2,z','1/2,-y+1,z','1/2,y+1,-z','1/2,-y+1/2,-z'],['1/4,0,z','3/4,1/2,-z','3/4,0,-z','1/4,1/2,z','3/4,1/2,z','5/4,1,-z','5/4,1/2,-z','3/4,1,z'],['1/4,y,0','3/4,-y+1/2,0','3/4,-y,0','1/4,y+1/2,0','3/4,y+1/2,0','5/4,-y+1,0','5/4,-y+1/2,0','3/4,y+1,0'],['x,0,0','-x,1/2,0','-x,0,0','x,1/2,0','x+1/2,1/2,0','-x+1/2,1,0','-x+1/2,1/2,0','x+1/2,1,0'],['0,1/4,z','0,3/4,-z','1/2,3/4,z','1/2,5/4,-z'],['1/4,1/4,0','3/4,1/4,0','3/4,3/4,0','5/4,3/4,0'],['0,0,0','0,1/2,0','1/2,1/2,0','1/2,1,0'],['1/4,0,0','3/4,0,0','3/4,1/2,0','5/4,1/2,0']]\"\n49,\"[['x,y,z','-x,-y,z','-y,x,z','y,-x,z'],['0,1/2,z','1/2,0,z'],['1/2,1/2,z'],['0,0,z']]\"\n50,\"[['x,y,z','-x,-y,z','y,-x,-z','-y,x,-z'],['0,1/2,z','1/2,0,-z'],['1/2,1/2,z','1/2,1/2,-z'],['0,0,z','0,0,-z'],['1/2,1/2,0'],['0,0,0']]\"\n51,\"[['x,y,z','-x,-y,z','-y,x,z','y,-x,z','-x,-y,-z','x,y,-z','y,-x,-z','-y,x,-z'],['x,y,0','-x,-y,0','-y,x,0','y,-x,0'],['0,1/2,z','1/2,0,z','0,1/2,-z','1/2,0,-z'],['1/2,1/2,z','1/2,1/2,-z'],['0,0,z','0,0,-z'],['0,1/2,0','1/2,0,0'],['1/2,1/2,0'],['0,0,0']]\"\n52,\"[['x,y,z','-x+1/2,-y+1/2,z','-y+1/2,x,z','y,-x+1/2,z','-x,-y,-z','x+1/2,y+1/2,-z','y+1/2,-x,-z','-y,x+1/2,-z'],['1/4,3/4,z','3/4,1/4,z','3/4,1/4,-z','1/4,3/4,-z'],['0,0,0','1/2,1/2,0','1/2,0,0','0,1/2,0'],['1/4,1/4,z','3/4,3/4,-z'],['1/4,3/4,0','3/4,1/4,0']]\"\n53,\"[['x,y,z','-x,-y,z','-y,x,z','y,-x,z','-x,y,-z','x,-y,-z','y,x,-z','-y,-x,-z'],['x,1/2,0','-x,1/2,0','1/2,x,0','1/2,-x,0'],['x,0,0','-x,0,0','0,x,0','0,-x,0'],['x,x,0','-x,-x,0','-x,x,0','x,-x,0'],['0,1/2,z','1/2,0,z','0,1/2,-z','1/2,0,-z'],['1/2,1/2,z','1/2,1/2,-z'],['0,0,z','0,0,-z'],['1/2,0,0','0,1/2,0'],['1/2,1/2,0'],['0,0,0']]\"\n54,\"[['x,y,z','-x,-y,z','-y,x,z','y,-x,z','-x+1/2,y+1/2,-z','x+1/2,-y+1/2,-z','y+1/2,x+1/2,-z','-y+1/2,-x+1/2,-z'],['x,x+1/2,0','-x,-x+1/2,0','-x+1/2,x,0','x+1/2,-x,0'],['0,1/2,z','1/2,0,z','1/2,0,-z','0,1/2,-z'],['0,0,z','1/2,1/2,-z'],['0,1/2,0','1/2,0,0']]\"\n55,\"[['x,y,z','-x,-y,z','-y,x,z','y,-x,z','x,-y,z','-x,y,z','-y,-x,z','y,x,z'],['x,1/2,z','-x,1/2,z','1/2,x,z','1/2,-x,z'],['x,0,z','-x,0,z','0,x,z','0,-x,z'],['x,x,z','-x,-x,z','-x,x,z','x,-x,z'],['1/2,0,z','0,1/2,z'],['1/2,1/2,z'],['0,0,z']]\"\n56,\"[['x,y,z','-x,-y,z','-y,x,z','y,-x,z','x+1/2,-y+1/2,z','-x+1/2,y+1/2,z','-y+1/2,-x+1/2,z','y+1/2,x+1/2,z'],['x,x+1/2,z','-x,-x+1/2,z','-x+1/2,x,z','x+1/2,-x,z'],['1/2,0,z','0,1/2,z'],['0,0,z','1/2,1/2,z']]\"\n57,\"[['x,y,z','-x,-y,z','y,-x,-z','-y,x,-z','-x,y,-z','x,-y,-z','-y,-x,z','y,x,z'],['x,x,z','-x,-x,z','x,-x,-z','-x,x,-z'],['0,1/2,z','1/2,0,-z','0,1/2,-z','1/2,0,z'],['x,1/2,0','-x,1/2,0','1/2,-x,0','1/2,x,0'],['x,0,0','-x,0,0','0,-x,0','0,x,0'],['1/2,1/2,z','1/2,1/2,-z'],['0,0,z','0,0,-z'],['1/2,0,0','0,1/2,0'],['1/2,1/2,0'],['0,0,0']]\"\n58,\"[['x,y,z','-x,-y,z','y,-x,-z','-y,x,-z','-x+1/2,y+1/2,-z','x+1/2,-y+1/2,-z','-y+1/2,-x+1/2,z','y+1/2,x+1/2,z'],['x,x+1/2,z','-x,-x+1/2,z','x+1/2,-x,-z','-x+1/2,x,-z'],['0,0,z','0,0,-z','1/2,1/2,-z','1/2,1/2,z'],['0,1/2,z','1/2,0,-z'],['0,0,0','1/2,1/2,0']]\"\n59,\"[['x,y,z','-x,-y,z','y,-x,-z','-y,x,-z','x,-y,z','-x,y,z','y,x,-z','-y,-x,-z'],['x,1/2,z','-x,1/2,z','1/2,-x,-z','1/2,x,-z'],['x,0,z','-x,0,z','0,-x,-z','0,x,-z'],['x,x,0','-x,-x,0','x,-x,0','-x,x,0'],['0,1/2,z','1/2,0,-z'],['1/2,1/2,z','1/2,1/2,-z'],['0,0,z','0,0,-z'],['1/2,1/2,0'],['0,0,0']]\"\n60,\"[['x,y,z','-x,-y,z','y,-x,-z','-y,x,-z','x+1/2,-y+1/2,z','-x+1/2,y+1/2,z','y+1/2,x+1/2,-z','-y+1/2,-x+1/2,-z'],['x,x+1/2,0','-x,-x+1/2,0','x+1/2,-x,0','-x+1/2,x,0'],['0,1/2,z','1/2,0,-z','1/2,0,z','0,1/2,-z'],['0,0,z','0,0,-z','1/2,1/2,z','1/2,1/2,-z'],['0,1/2,0','1/2,0,0'],['0,0,0','1/2,1/2,0']]\"\n61,\"[['x,y,z','-x,-y,z','-y,x,z','y,-x,z','-x,y,-z','x,-y,-z','y,x,-z','-y,-x,-z','-x,-y,-z','x,y,-z','y,-x,-z','-y,x,-z','x,-y,z','-x,y,z','-y,-x,z','y,x,z'],['x,1/2,z','-x,1/2,z','1/2,x,z','1/2,-x,z','-x,1/2,-z','x,1/2,-z','1/2,x,-z','1/2,-x,-z'],['x,0,z','-x,0,z','0,x,z','0,-x,z','-x,0,-z','x,0,-z','0,x,-z','0,-x,-z'],['x,x,z','-x,-x,z','-x,x,z','x,-x,z','-x,x,-z','x,-x,-z','x,x,-z','-x,-x,-z'],['x,y,0','-x,-y,0','-y,x,0','y,-x,0','-x,y,0','x,-y,0','y,x,0','-y,-x,0'],['x,1/2,0','-x,1/2,0','1/2,x,0','1/2,-x,0'],['x,0,0','-x,0,0','0,x,0','0,-x,0'],['x,x,0','-x,-x,0','-x,x,0','x,-x,0'],['0,1/2,z','1/2,0,z','0,1/2,-z','1/2,0,-z'],['1/2,1/2,z','1/2,1/2,-z'],['0,0,z','0,0,-z'],['0,1/2,0','1/2,0,0'],['1/2,1/2,0'],['0,0,0']]\"\n62,\"[['x,y,z','-x+1/2,-y+1/2,z','-y+1/2,x,z','y,-x+1/2,z','-x+1/2,y,-z','x,-y+1/2,-z','y,x,-z','-y+1/2,-x+1/2,-z','-x,-y,-z','x+1/2,y+1/2,-z','y+1/2,-x,-z','-y,x+1/2,-z','x+1/2,-y,z','-x,y+1/2,z','-y,-x,z','y+1/2,x+1/2,z'],['x,-x,z','-x+1/2,x+1/2,z','x+1/2,x,z','-x,-x+1/2,z','-x+1/2,-x,-z','x,x+1/2,-z','-x,x,-z','x+1/2,-x+1/2,-z'],['x,1/4,0','-x+1/2,1/4,0','1/4,x,0','1/4,-x+1/2,0','-x,3/4,0','x+1/2,3/4,0','3/4,-x,0','3/4,x+1/2,0'],['x,x,0','-x+1/2,-x+1/2,0','-x+1/2,x,0','x,-x+1/2,0','-x,-x,0','x+1/2,x+1/2,0','x+1/2,-x,0','-x,x+1/2,0'],['3/4,1/4,z','1/4,3/4,z','3/4,1/4,-z','1/4,3/4,-z'],['1/4,1/4,z','1/4,1/4,-z','3/4,3/4,-z','3/4,3/4,z'],['0,0,0','1/2,1/2,0','1/2,0,0','0,1/2,0'],['3/4,1/4,0','1/4,3/4,0'],['1/4,1/4,0','3/4,3/4,0']]\"\n63,\"[['x,y,z','-x,-y,z','-y,x,z','y,-x,z','-x+1/2,y+1/2,-z','x+1/2,-y+1/2,-z','y+1/2,x+1/2,-z','-y+1/2,-x+1/2,-z','-x,-y,-z','x,y,-z','y,-x,-z','-y,x,-z','x+1/2,-y+1/2,z','-x+1/2,y+1/2,z','-y+1/2,-x+1/2,z','y+1/2,x+1/2,z'],['x,x+1/2,z','-x,-x+1/2,z','-x+1/2,x,z','x+1/2,-x,z','-x+1/2,x,-z','x+1/2,-x,-z','x,x+1/2,-z','-x,-x+1/2,-z'],['x,y,0','-x,-y,0','-y,x,0','y,-x,0','-x+1/2,y+1/2,0','x+1/2,-y+1/2,0','y+1/2,x+1/2,0','-y+1/2,-x+1/2,0'],['x,x+1/2,0','-x,-x+1/2,0','-x+1/2,x,0','x+1/2,-x,0'],['0,1/2,z','1/2,0,z','1/2,0,-z','0,1/2,-z'],['0,0,z','1/2,1/2,-z','0,0,-z','1/2,1/2,z'],['0,1/2,0','1/2,0,0'],['0,0,0','1/2,1/2,0']]\"\n64,\"[['x,y,z','-x+1/2,-y+1/2,z','-y+1/2,x,z','y,-x+1/2,z','-x,y+1/2,-z','x+1/2,-y,-z','y+1/2,x+1/2,-z','-y,-x,-z','-x,-y,-z','x+1/2,y+1/2,-z','y+1/2,-x,-z','-y,x+1/2,-z','x,-y+1/2,z','-x+1/2,y,z','-y+1/2,-x+1/2,z','y,x,z'],['x,x,z','-x+1/2,-x+1/2,z','-x+1/2,x,z','x,-x+1/2,z','-x,x+1/2,-z','x+1/2,-x,-z','x+1/2,x+1/2,-z','-x,-x,-z'],['1/4,y,z','1/4,-y+1/2,z','-y+1/2,1/4,z','y,1/4,z','3/4,y+1/2,-z','3/4,-y,-z','y+1/2,3/4,-z','-y,3/4,-z'],['x,-x,0','-x+1/2,x+1/2,0','x+1/2,x,0','-x,-x+1/2,0','-x,x,0','x+1/2,-x+1/2,0','-x+1/2,-x,0','x,x+1/2,0'],['3/4,1/4,z','1/4,3/4,z','1/4,3/4,-z','3/4,1/4,-z'],['0,0,0','1/2,1/2,0','1/2,0,0','0,1/2,0'],['1/4,1/4,z','3/4,3/4,-z'],['3/4,1/4,0','1/4,3/4,0']]\"\n65,\"[['x,y,z','-y,x-y,z','-x+y,-x,z'],['2/3,1/3,z'],['1/3,2/3,z'],['0,0,z']]\"\n66,\"[['x,y,z','-y,x-y,z','-x+y,-x,z','-x,-y,-z','y,-x+y,-z','x-y,x,-z'],['1/2,0,0','0,1/2,0','1/2,1/2,0'],['1/3,2/3,z','2/3,1/3,-z'],['0,0,z','0,0,-z'],['0,0,0']]\"\n67,\"[['x,y,z','-y,x-y,z','-x+y,-x,z','-y,-x,-z','-x+y,y,-z','x,x-y,-z'],['x,-x,0','x,2x,0','-2x,-x,0'],['2/3,1/3,z','2/3,1/3,-z'],['1/3,2/3,z','1/3,2/3,-z'],['0,0,z','0,0,-z'],['2/3,1/3,0'],['1/3,2/3,0'],['0,0,0']]\"\n68,\"[['x,y,z','-y,x-y,z','-x+y,-x,z','y,x,-z','x-y,-y,-z','-x,-x+y,-z'],['x,0,0','0,x,0','-x,-x,0'],['1/3,2/3,z','2/3,1/3,-z'],['0,0,z','0,0,-z'],['0,0,0']]\"\n69,\"[['x,y,z','-y,x-y,z','-x+y,-x,z','-y,-x,z','-x+y,y,z','x,x-y,z'],['x,-x,z','x,2x,z','-2x,-x,z'],['2/3,1/3,z'],['1/3,2/3,z'],['0,0,z']]\"\n70,\"[['x,y,z','-y,x-y,z','-x+y,-x,z','y,x,z','x-y,-y,z','-x,-x+y,z'],['x,0,z','0,x,z','-x,-x,z'],['1/3,2/3,z','2/3,1/3,z'],['0,0,z']]\"\n71,\"[['x,y,z','-y,x-y,z','-x+y,-x,z','-y,-x,-z','-x+y,y,-z','x,x-y,-z','-x,-y,-z','y,-x+y,-z','x-y,x,-z','y,x,z','x-y,-y,z','-x,-x+y,z'],['x,0,z','0,x,z','-x,-x,z','0,-x,-z','-x,0,-z','x,x,-z'],['x,-x,0','x,2x,0','-2x,-x,0','-x,x,0','-x,-2x,0','2x,x,0'],['1/3,2/3,z','1/3,2/3,-z','2/3,1/3,-z','2/3,1/3,z'],['1/2,0,0','0,1/2,0','1/2,1/2,0'],['0,0,z','0,0,-z'],['1/3,2/3,0','2/3,1/3,0'],['0,0,0']]\"\n72,\"[['x,y,z','-y,x-y,z','-x+y,-x,z','y,x,-z','x-y,-y,-z','-x,-x+y,-z','-x,-y,-z','y,-x+y,-z','x-y,x,-z','-y,-x,z','-x+y,y,z','x,x-y,z'],['x,-x,z','x,2x,z','-2x,-x,z','-x,x,-z','2x,x,-z','-x,-2x,-z'],['x,0,0','0,x,0','-x,-x,0','-x,0,0','0,-x,0','x,x,0'],['1/2,0,0','0,1/2,0','1/2,1/2,0'],['1/3,2/3,z','2/3,1/3,-z'],['0,0,z','0,0,-z'],['0,0,0']]\"\n73,\"[['x,y,z','-y,x-y,z','-x+y,-x,z','-x,-y,z','y,-x+y,z','x-y,x,z'],['1/2,0,z','0,1/2,z','1/2,1/2,z'],['1/3,2/3,z','2/3,1/3,z'],['0,0,z']]\"\n74,\"[['x,y,z','-y,x-y,z','-x+y,-x,z','x,y,-z','-y,x-y,-z','-x+y,-x,-z'],['x,y,0','-y,x-y,0','-x+y,-x,0'],['2/3,1/3,z','2/3,1/3,-z'],['1/3,2/3,z','1/3,2/3,-z'],['0,0,z','0,0,-z'],['2/3,1/3,0'],['1/3,2/3,0'],['0,0,0']]\"\n75,\"[['x,y,z','-y,x-y,z','-x+y,-x,z','-x,-y,z','y,-x+y,z','x-y,x,z','-x,-y,-z','y,-x+y,-z','x-y,x,-z','x,y,-z','-y,x-y,-z','-x+y,-x,-z'],['x,y,0','-y,x-y,0','-x+y,-x,0','-x,-y,0','y,-x+y,0','x-y,x,0'],['1/2,0,z','0,1/2,z','1/2,1/2,z','1/2,0,-z','0,1/2,-z','1/2,1/2,-z'],['1/3,2/3,z','2/3,1/3,z','1/3,2/3,-z','2/3,1/3,-z'],['1/2,0,0','0,1/2,0','1/2,1/2,0'],['0,0,z','0,0,-z'],['1/3,2/3,0','2/3,1/3,0'],['0,0,0']]\"\n76,\"[['x,y,z','-y,x-y,z','-x+y,-x,z','-x,-y,z','y,-x+y,z','x-y,x,z','y,x,-z','x-y,-y,-z','-x,-x+y,-z','-y,-x,-z','-x+y,y,-z','x,x-y,-z'],['x,-x,0','x,2x,0','-2x,-x,0','-x,x,0','-x,-2x,0','2x,x,0'],['x,0,0','0,x,0','-x,-x,0','-x,0,0','0,-x,0','x,x,0'],['1/2,0,z','0,1/2,z','1/2,1/2,z','0,1/2,-z','1/2,0,-z','1/2,1/2,-z'],['1/3,2/3,z','2/3,1/3,z','2/3,1/3,-z','1/3,2/3,-z'],['1/2,0,0','0,1/2,0','1/2,1/2,0'],['0,0,z','0,0,-z'],['1/3,2/3,0','2/3,1/3,0'],['0,0,0']]\"\n77,\"[['x,y,z','-y,x-y,z','-x+y,-x,z','-x,-y,z','y,-x+y,z','x-y,x,z','-y,-x,z','-x+y,y,z','x,x-y,z','y,x,z','x-y,-y,z','-x,-x+y,z'],['x,-x,z','x,2x,z','-2x,-x,z','-x,x,z','-x,-2x,z','2x,x,z'],['x,0,z','0,x,z','-x,-x,z','-x,0,z','0,-x,z','x,x,z'],['1/2,0,z','0,1/2,z','1/2,1/2,z'],['1/3,2/3,z','2/3,1/3,z'],['0,0,z']]\"\n78,\"[['x,y,z','-y,x-y,z','-x+y,-x,z','x,y,-z','-y,x-y,-z','-x+y,-x,-z','-y,-x,z','-x+y,y,z','x,x-y,z','-y,-x,-z','-x+y,y,-z','x,x-y,-z'],['x,-x,z','x,2x,z','-2x,-x,z','x,-x,-z','x,2x,-z','-2x,-x,-z'],['x,y,0','-y,x-y,0','-x+y,-x,0','-y,-x,0','-x+y,y,0','x,x-y,0'],['x,-x,0','x,2x,0','-2x,-x,0'],['2/3,1/3,z','2/3,1/3,-z'],['1/3,2/3,z','1/3,2/3,-z'],['0,0,z','0,0,-z'],['2/3,1/3,0'],['1/3,2/3,0'],['0,0,0']]\"\n79,\"[['x,y,z','-y,x-y,z','-x+y,-x,z','x,y,-z','-y,x-y,-z','-x+y,-x,-z','y,x,-z','x-y,-y,-z','-x,-x+y,-z','y,x,z','x-y,-y,z','-x,-x+y,z'],['x,y,0','-y,x-y,0','-x+y,-x,0','y,x,0','x-y,-y,0','-x,-x+y,0'],['x,0,z','0,x,z','-x,-x,z','x,0,-z','0,x,-z','-x,-x,-z'],['1/3,2/3,z','1/3,2/3,-z','2/3,1/3,-z','2/3,1/3,z'],['x,0,0','0,x,0','-x,-x,0'],['0,0,z','0,0,-z'],['1/3,2/3,0','2/3,1/3,0'],['0,0,0']]\"\n80,\"[['x,y,z','-y,x-y,z','-x+y,-x,z','-x,-y,z','y,-x+y,z','x-y,x,z','y,x,-z','x-y,-y,-z','-x,-x+y,-z','-y,-x,-z','-x+y,y,-z','x,x-y,-z','-x,-y,-z','y,-x+y,-z','x-y,x,-z','x,y,-z','-y,x-y,-z','-x+y,-x,-z','-y,-x,z','-x+y,y,z','x,x-y,z','y,x,z','x-y,-y,z','-x,-x+y,z'],['x,y,0','-y,x-y,0','-x+y,-x,0','-x,-y,0','y,-x+y,0','x-y,x,0','y,x,0','x-y,-y,0','-x,-x+y,0','-y,-x,0','-x+y,y,0','x,x-y,0'],['x,2x,z','-2x,-x,z','x,-x,z','-x,-2x,z','2x,x,z','-x,x,z','2x,x,-z','-x,-2x,-z','-x,x,-z','-2x,-x,-z','x,2x,-z','x,-x,-z'],['x,0,z','0,x,z','-x,-x,z','-x,0,z','0,-x,z','x,x,z','0,x,-z','x,0,-z','-x,-x,-z','0,-x,-z','-x,0,-z','x,x,-z'],['x,2x,0','-2x,-x,0','x,-x,0','-x,-2x,0','2x,x,0','-x,x,0'],['x,0,0','0,x,0','-x,-x,0','-x,0,0','0,-x,0','x,x,0'],['1/2,0,z','0,1/2,z','1/2,1/2,z','0,1/2,-z','1/2,0,-z','1/2,1/2,-z'],['1/3,2/3,z','2/3,1/3,z','2/3,1/3,-z','1/3,2/3,-z'],['1/2,0,0','0,1/2,0','1/2,1/2,0'],['0,0,z','0,0,-z'],['1/3,2/3,0','2/3,1/3,0'],['0,0,0']]\"\n\n"
  },
  {
    "path": "pyxtal/database/layer_generators.csv",
    "content": ",0\n0,\n1,\"[['x, y, z']]\"\n2,\"[['x, y, z', '-x, -y, -z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']]\"\n3,\"[['x, y, z', '-x, -y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']]\"\n4,\"[['x, y, z', 'x, y, -z'], ['x, y, z']]\"\n5,\"[['x, y, z', 'x+1/2, y, -z']]\"\n6,\"[['x, y, z', '-x, -y, z', '-x, -y, -z', 'x, y, -z'], ['x, y, z', '-x, -y, z'], ['x, y, z', '-x, -y, -z'], ['x, y, z', '-x, -y, -z'], ['x, y, z', '-x, -y, -z'], ['x, y, z', '-x, -y, -z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']]\"\n7,\"[['x, y, z', '-x+1/2, -y, z', '-x, -y, -z', 'x+1/2, y, -z'], ['x, y, z', '-x, -y, -z'], ['x, y, z', '-x, -y, -z'], ['x, y, z', '-x+1/2, -y, z'], ['x, y, z', '-x+1/2, -y, z']]\"\n8,\"[['x, y, z', 'x, -y, -z'], ['x, y, z'], ['x, y, z']]\"\n9,\"[['x, y, z', 'x+1/2, -y, -z']]\"\n10,\"[['x, y, z', 'x, -y, -z', 'x+1/2, y+1/2, z', 'x+1/2, -y+1/2, -z'], ['x, y, z', 'x+1/2, y+1/2, z']]\"\n11,\"[['x, y, z', '-x, y, z'], ['x, y, z'], ['x, y, z']]\"\n12,\"[['x, y, z', '-x, y+1/2, z']]\"\n13,\"[['x, y, z', '-x, y, z', 'x+1/2, y+1/2, z', '-x+1/2, y+1/2, z'], ['x, y, z', 'x+1/2, y+1/2, z']]\"\n14,\"[['x, y, z', 'x, -y, -z', '-x, -y, -z', '-x, y, z'], ['x, y, z', 'x, -y, -z'], ['x, y, z', 'x, -y, -z'], ['x, y, z', '-x, -y, -z'], ['x, y, z', '-x, -y, -z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']]\"\n15,\"[['x, y, z', 'x+1/2, -y, -z', '-x, -y, -z', '-x+1/2, y, z'], ['x, y, z', 'x+1/2, -y, -z'], ['x, y, z', 'x+1/2, -y, -z'], ['x, y, z', 'x+1/2, -y, -z']]\"\n16,\"[['x, y, z', 'x, -y+1/2, -z', '-x, -y, -z', '-x, y+1/2, z'], ['x, y, z', '-x, -y, -z'], ['x, y, z', 'x, -y+1/2, -z'], ['x, y, z', 'x, -y+1/2, -z']]\"\n17,\"[['x, y, z', 'x+1/2, -y+1/2, -z', '-x, -y, -z', '-x+1/2, y+1/2, z'], ['x, y, z', 'x+1/2, -y+1/2, -z'], ['x, y, z', 'x+1/2, -y+1/2, -z']]\"\n18,\"[['x, y, z', 'x, -y, -z', '-x, -y, -z', '-x, y, z', 'x+1/2, y+1/2, z', 'x+1/2, -y+1/2, -z', '-x+1/2, -y+1/2, -z', '-x+1/2, y+1/2, z'], ['x, y, z', 'x, -y, -z', 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z', '-x, -y, z', '-x, y, -z', 'x, -y, -z'], ['x, y, z', '-x, y, -z', 'x+1/2, y+1/2, z', '-x+1/2, y+1/2, -z'], ['x, y, z', '-x, y, -z', 'x+1/2, y+1/2, z', '-x+1/2, y+1/2, -z'], ['x, y, z', '-x, -y, z', 'x+1/2, y+1/2, z', '-x+1/2, -y+1/2, z'], ['x, y, z', '-x, -y, z', 'x+1/2, y+1/2, z', '-x+1/2, -y+1/2, z'], ['x, y, z', 'x+1/2, y+1/2, z'], ['x, y, z', 'x+1/2, y+1/2, z']]\"\n23,\"[['x, y, z', '-x, -y, z', 'x, -y, z', '-x, y, z'], ['x, y, z', '-x, -y, z'], ['x, y, z', '-x, -y, z'], ['x, y, z', '-x, -y, z'], ['x, y, z', '-x, -y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']]\"\n24,\"[['x, y, z', '-x, -y, z', 'x+1/2, -y, z', '-x+1/2, y, z'], ['x, y, z', '-x, -y, z'], ['x, y, z', 'x+1/2, -y, z'], ['x, y, z', 'x+1/2, -y, z']]\"\n25,\"[['x, y, z', '-x, -y, z', 'x+1/2, -y+1/2, z', '-x+1/2, y+1/2, z'], ['x, y, z', 'x+1/2, -y+1/2, z'], ['x, y, z', 'x+1/2, -y+1/2, z']]\"\n26,\"[['x, y, z', '-x, -y, z', 'x, -y, z', '-x, y, z', 'x+1/2, y+1/2, z', '-x+1/2, -y+1/2, z', 'x+1/2, -y+1/2, z', '-x+1/2, y+1/2, z'], ['x, y, z', '-x, -y, z', 'x+1/2, y+1/2, z', '-x+1/2, -y+1/2, z'], ['x, y, z', '-x, -y, z', 'x+1/2, y+1/2, z', '-x+1/2, -y+1/2, z'], ['x, y, z', '-x, -y, z', 'x, -y, z', '-x, y, z'], ['x, y, z', 'x+1/2, y+1/2, z'], ['x, y, z', 'x+1/2, y+1/2, z']]\"\n27,\"[['x, y, z', '-x, y, -z', '-x, y, z', 'x, y, -z'], ['x, y, z', '-x, y, -z'], ['x, y, z', '-x, y, -z'], ['x, y, z', '-x, y, -z'], ['x, y, z'], ['x, y, z']]\"\n28,\"[['x, y, z', '-x, y+1/2, -z', 'x, y+1/2, -z', '-x, y, z'], ['x, y, z', '-x, y+1/2, -z'], ['x, y, z', '-x, y+1/2, -z']]\"\n29,\"[['x, y, z', '-x, y+1/2, -z', '-x, y+1/2, z', 'x, y, -z'], ['x, y, z', '-x, y+1/2, -z']]\"\n30,\"[['x, y, z', '-x, y, -z', 'x, y+1/2, -z', '-x, y+1/2, z'], ['x, y, z', 'x, y+1/2, -z'], ['x, y, z', 'x, y+1/2, -z']]\"\n31,\"[['x, y, z', '-x, y, -z', 'x+1/2, y, -z', '-x+1/2, y, z'], ['x, y, z', '-x, y, -z'], ['x, y, z', 'x+1/2, y, -z']]\"\n32,\"[['x, y, z', '-x+1/2, y+1/2, -z', 'x+1/2, y+1/2, -z', '-x, y, z'], ['x, y, z', '-x+1/2, y+1/2, -z']]\"\n33,\"[['x, y, z', '-x, y+1/2, -z', 'x+1/2, y, -z', '-x+1/2, y+1/2, z']]\"\n34,\"[['x, y, z', '-x, y, -z', '-x+1/2, y+1/2, z', 'x+1/2, y+1/2, -z'], ['x, y, z', '-x+1/2, y+1/2, z']]\"\n35,\"[['x, y, z', '-x, y, -z', '-x, y, z', 'x, y, -z', 'x+1/2, y+1/2, z', '-x+1/2, y+1/2, -z', '-x+1/2, y+1/2, z', 'x+1/2, y+1/2, -z'], ['x, y, z', '-x, y, -z', 'x+1/2, y+1/2, z', '-x+1/2, y+1/2, -z'], ['x, y, z', '-x, y, -z', 'x+1/2, y+1/2, z', '-x+1/2, y+1/2, -z'], ['x, y, z', 'x+1/2, y+1/2, z']]\"\n36,\"[['x, y, z', '-x, y, -z', '-x+1/2, y, z', 'x+1/2, y, -z', 'x+1/2, y+1/2, z', '-x+1/2, y+1/2, -z', '-x+1, y+1/2, z', 'x+1, y+1/2, -z'], ['x, y, z', '-x, y, -z', 'x+1/2, y+1/2, z', '-x+1/2, y+1/2, -z'], ['x, y, z', '-x+1/2, y, z', 'x+1/2, y+1/2, z', '-x+1, y+1/2, z']]\"\n37,\"[['x, y, z', '-x, -y, z', '-x, y, -z', 'x, -y, -z', '-x, -y, -z', 'x, y, -z', 'x, -y, z', '-x, y, z'], ['x, y, z', '-x, -y, z', '-x, y, -z', 'x, -y, -z'], ['x, y, z', '-x, -y, z', '-x, y, -z', 'x, -y, -z'], ['x, y, z', 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y, z', '-x+1/2, -y, z', '-x, -y, -z', 'x+1/2, y, -z'], ['x, y, z', 'x, -y+1/2, -z', '-x, -y, -z', '-x, y+1/2, z'], ['x, y, z', 'x, -y+1/2, -z', '-x+1/2, -y, z', '-x+1/2, y+1/2, -z']]\"\n44,\"[['x, y, z', '-x, -y, z', '-x+1/2, y+1/2, -z', 'x+1/2, -y+1/2, -z', '-x, -y, -z', 'x, y, -z', 'x+1/2, -y+1/2, z', '-x+1/2, y+1/2, z'], ['x, y, z', '-x, -y, z', '-x+1/2, y+1/2, -z', 'x+1/2, -y+1/2, -z'], ['x, y, z', '-x+1/2, y+1/2, -z', '-x, -y, -z', 'x+1/2, -y+1/2, z'], ['x, y, z', '-x+1/2, y+1/2, -z', '-x, -y, -z', 'x+1/2, -y+1/2, z'], ['x, y, z', '-x+1/2, y+1/2, -z'], ['x, y, z', '-x+1/2, y+1/2, -z']]\"\n45,\"[['x, y, z', '-x, y+1/2, -z', 'x+1/2, -y+1/2, -z', '-x+1/2, -y, z', '-x, -y, -z', 'x, -y+1/2, z', '-x+1/2, y+1/2, z', 'x+1/2, y, -z'], ['x, y, z', '-x, y+1/2, -z', 'x+1/2, -y+1/2, -z', '-x+1/2, -y, z'], ['x, y, z', '-x, y+1/2, -z', '-x, -y, -z', 'x, -y+1/2, z'], ['x, y, z', '-x, y+1/2, -z', 'x+1/2, -y+1/2, -z', '-x+1/2, -y, z']]\"\n46,\"[['x, y, z', '-x+1/2, -y+1/2, z', '-x, y+1/2, -z', 'x+1/2, -y, -z', '-x, -y, -z', 'x+1/2, y+1/2, -z', 'x, -y+1/2, z', '-x+1/2, y, z'], ['x, y, z', '-x+1/2, -y+1/2, z', '-x, y+1/2, -z', 'x+1/2, -y, -z'], ['x, y, z', '-x+1/2, -y+1/2, z', '-x, y+1/2, -z', 'x+1/2, -y, -z'], ['x, y, z', '-x+1/2, -y+1/2, z', '-x, y+1/2, -z', 'x+1/2, -y, -z'], ['x, y, z', '-x, y+1/2, -z'], ['x, y, z', '-x, y+1/2, -z']]\"\n47,\"[['x, y, z', '-x, -y, z', '-x, y, -z', 'x, -y, -z', '-x, -y, -z', 'x, y, -z', 'x, -y, z', '-x, y, z', 'x+1/2, y+1/2, z', '-x+1/2, -y+1/2, z', '-x+1/2, y+1/2, -z', 'x+1/2, -y+1/2, -z', '-x+1/2, -y+1/2, -z', 'x+1/2, y+1/2, -z', 'x+1/2, -y+1/2, z', '-x+1/2, y+1/2, z'], ['x, y, z', '-x, -y, z', '-x, y, -z', 'x, -y, -z', 'x+1/2, y+1/2, z', '-x+1/2, -y+1/2, z', '-x+1/2, y+1/2, -z', 'x+1/2, -y+1/2, -z'], ['x, y, z', '-x, -y, z', '-x, y, -z', 'x, -y, -z', 'x+1/2, y+1/2, z', '-x+1/2, -y+1/2, z', '-x+1/2, y+1/2, -z', 'x+1/2, -y+1/2, -z'], ['x, y, z', '-x, -y, z', '-x, y, -z', 'x, -y, -z', 'x+1/2, y+1/2, z', '-x+1/2, -y+1/2, z', '-x+1/2, y+1/2, -z', 'x+1/2, -y+1/2, -z'], ['x, y, z', '-x, -y, z', '-x, y, -z', 'x, -y, -z', '-x, -y, -z', 'x, y, -z', 'x, -y, z', '-x, y, z'], ['x, y, z', '-x, y, -z', 'x+1/2, y+1/2, z', '-x+1/2, y+1/2, -z'], ['x, y, z', '-x, y, -z', 'x+1/2, y+1/2, z', '-x+1/2, y+1/2, -z'], ['x, y, z', '-x, -y, z', 'x+1/2, y+1/2, z', '-x+1/2, -y+1/2, z'], ['x, y, z', '-x, -y, z', 'x+1/2, y+1/2, z', '-x+1/2, -y+1/2, z'], ['x, y, z', '-x, -y, z', '-x, y, -z', 'x, -y, -z'], ['x, y, z', 'x+1/2, y+1/2, z'], ['x, y, z', 'x+1/2, y+1/2, z']]\"\n48,\"[['x, y, z', '-x, -y+1/2, z', '-x, y+1/2, -z', 'x, -y, -z', '-x, -y, -z', 'x, y+1/2, -z', 'x, -y+1/2, z', '-x, y, z', 'x+1/2, y+1/2, z', '-x+1/2, -y+1, z', '-x+1/2, y+1, -z', 'x+1/2, -y+1/2, -z', '-x+1/2, -y+1/2, -z', 'x+1/2, y+1, -z', 'x+1/2, -y+1, z', '-x+1/2, y+1/2, z'], ['x, y, z', '-x, -y+1/2, z', '-x, y+1/2, -z', 'x, -y, -z', 'x+1/2, y+1/2, z', '-x+1/2, -y+1, z', '-x+1/2, y+1, -z', 'x+1/2, -y+1/2, -z'], ['x, y, z', '-x, -y+1/2, z', '-x, y+1/2, -z', 'x, -y, -z', 'x+1/2, y+1/2, z', '-x+1/2, -y+1, z', '-x+1/2, y+1, -z', 'x+1/2, -y+1/2, -z'], ['x, y, z', '-x, -y+1/2, z', '-x, y+1/2, -z', 'x, -y, -z', '-x, -y, -z', 'x, y+1/2, -z', 'x, -y+1/2, z', '-x, y, z'], ['x, y, z', '-x, -y+1/2, z', '-x, y+1/2, -z', 'x, -y, -z', '-x, -y, -z', 'x, y+1/2, -z', 'x, -y+1/2, z', '-x, y, z'], ['x, y, z', '-x, -y+1/2, z', '-x, -y, -z', 'x, y+1/2, -z', 'x+1/2, y+1/2, z', '-x+1/2, -y+1, z', '-x+1/2, -y+1/2, -z', 'x+1/2, y+1, -z'], ['x, y, z', '-x, y+1/2, -z', 'x+1/2, y+1/2, z', '-x+1/2, y+1, -z'], ['x, y, z', '-x, -y+1/2, z', '-x, y+1/2, -z', 'x, -y, -z'], ['x, y, z', '-x, -y+1/2, z', 'x+1/2, y+1/2, z', '-x+1/2, -y+1, z'], ['x, y, z', '-x, -y+1/2, z', '-x, -y, -z', 'x, y+1/2, -z']]\"\n49,\"[['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z'], ['x, y, z', '-y, x, z'], ['x, y, z'], ['x, y, z']]\"\n50,\"[['x, y, z', '-x, -y, z', 'y, -x, -z', '-y, x, -z'], ['x, y, z', 'y, -x, -z'], ['x, y, z', 'y, -x, -z'], ['x, y, z', 'y, -x, -z'], ['x, y, z'], ['x, y, z']]\"\n51,\"[['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z', '-x, -y, -z', 'x, y, -z', 'y, -x, -z', '-y, x, -z'], ['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z'], ['x, y, z', '-y, x, z', '-x, -y, -z', 'y, -x, -z'], ['x, y, z', '-x, -y, -z'], ['x, y, z', '-x, -y, -z'], ['x, y, z', '-y, x, z'], ['x, y, z'], ['x, y, z']]\"\n52,\"[['x, y, z', '-x+1/2, -y+1/2, z', '-y+1/2, x, z', 'y, -x+1/2, z', '-x, -y, -z', 'x+1/2, y+1/2, -z', 'y+1/2, -x, -z', '-y, x+1/2, -z'], ['x, y, z', '-y+1/2, x, z', '-x, -y, -z', 'y+1/2, -x, -z'], ['x, y, z', '-x+1/2, -y+1/2, z', '-y+1/2, x, z', 'y, -x+1/2, z'], ['x, y, z', '-x, -y, -z'], ['x, y, z', '-y+1/2, x, z']]\"\n53,\"[['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z', '-x, y, -z', 'x, -y, -z', 'y, x, -z', '-y, -x, -z'], ['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z'], ['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z'], ['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z'], ['x, y, z', '-y, x, z', '-x, y, -z', 'y, x, -z'], ['x, y, z', '-x, y, -z'], ['x, y, z', '-x, y, -z'], ['x, y, z', '-y, x, z'], ['x, y, z'], ['x, y, z']]\"\n54,\"[['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z', '-x+1/2, y+1/2, -z', 'x+1/2, -y+1/2, -z', 'y+1/2, x+1/2, -z', '-y+1/2, -x+1/2, -z'], ['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z'], ['x, y, z', '-y, x, z', '-x+1/2, y+1/2, -z', 'y+1/2, x+1/2, -z'], ['x, y, z', '-x+1/2, y+1/2, -z'], ['x, y, z', '-y, x, z']]\"\n55,\"[['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z', 'x, -y, z', '-x, y, z', '-y, -x, z', 'y, x, z'], ['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z'], ['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z'], ['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z'], ['x, y, z', '-y, x, z'], ['x, y, z'], ['x, y, z']]\"\n56,\"[['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z', 'x+1/2, -y+1/2, z', '-x+1/2, y+1/2, z', '-y+1/2, -x+1/2, z', 'y+1/2, x+1/2, z'], ['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z'], ['x, y, z', '-y, x, z'], ['x, y, z', 'x+1/2, -y+1/2, z']]\"\n57,\"[['x, y, z', '-x, -y, z', 'y, -x, -z', '-y, x, -z', '-x, y, -z', 'x, -y, -z', '-y, -x, z', 'y, x, z'], ['x, y, z', '-x, -y, z', 'y, -x, -z', '-y, x, -z'], ['x, y, z', 'y, -x, -z', '-x, y, -z', '-y, -x, z'], ['x, y, z', '-x, -y, z', 'y, -x, -z', '-y, x, -z'], ['x, y, z', '-x, -y, z', 'y, -x, -z', '-y, x, -z'], ['x, y, z', 'y, -x, -z'], ['x, y, z', 'y, -x, -z'], ['x, y, z', 'y, -x, -z'], ['x, y, z'], ['x, y, z']]\"\n58,\"[['x, y, z', '-x, -y, z', 'y, -x, -z', '-y, x, -z', '-x+1/2, y+1/2, -z', 'x+1/2, -y+1/2, -z', '-y+1/2, -x+1/2, z', 'y+1/2, x+1/2, z'], ['x, y, z', '-x, -y, z', 'y, -x, -z', '-y, x, -z'], ['x, y, z', 'y, -x, -z', '-x+1/2, y+1/2, -z', '-y+1/2, -x+1/2, z'], ['x, y, z', 'y, -x, -z'], ['x, y, z', '-x+1/2, y+1/2, -z']]\"\n59,\"[['x, y, z', '-x, -y, z', 'y, -x, -z', '-y, x, -z', 'x, -y, z', '-x, y, z', 'y, x, -z', '-y, -x, -z'], ['x, y, z', '-x, -y, z', 'y, -x, -z', '-y, x, -z'], ['x, y, z', '-x, -y, z', 'y, -x, -z', '-y, x, -z'], ['x, y, z', '-x, -y, z', 'y, -x, -z', '-y, x, -z'], ['x, y, z', 'y, -x, -z'], ['x, y, z', 'y, -x, -z'], ['x, y, z', 'y, -x, -z'], ['x, y, z'], ['x, y, z']]\"\n60,\"[['x, y, z', '-x, -y, z', 'y, -x, -z', '-y, x, -z', 'x+1/2, -y+1/2, z', '-x+1/2, y+1/2, z', 'y+1/2, x+1/2, -z', '-y+1/2, -x+1/2, -z'], ['x, y, z', '-x, -y, z', 'y, -x, -z', '-y, x, -z'], ['x, y, z', 'y, -x, -z', 'x+1/2, -y+1/2, z', 'y+1/2, x+1/2, -z'], ['x, y, z', 'y, -x, -z', 'x+1/2, -y+1/2, z', 'y+1/2, x+1/2, -z'], ['x, y, z', 'y, -x, -z'], ['x, y, z', 'x+1/2, -y+1/2, z']]\"\n61,\"[['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z', '-x, y, -z', 'x, -y, -z', 'y, x, -z', '-y, -x, -z', '-x, -y, -z', 'x, y, -z', 'y, -x, -z', '-y, x, -z', 'x, -y, z', '-x, y, z', '-y, -x, z', 'y, x, z'], ['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z', '-x, y, -z', 'x, -y, -z', 'y, x, -z', '-y, -x, -z'], ['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z', '-x, y, -z', 'x, -y, -z', 'y, x, -z', '-y, -x, -z'], ['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z', '-x, y, -z', 'x, -y, -z', 'y, x, -z', '-y, -x, -z'], ['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z', '-x, y, -z', 'x, -y, -z', 'y, x, -z', '-y, -x, -z'], ['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z'], ['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z'], ['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z'], ['x, y, z', '-y, x, z', '-x, y, -z', 'y, x, -z'], ['x, y, z', '-x, y, -z'], ['x, y, z', '-x, y, -z'], ['x, y, z', '-y, x, z'], ['x, y, z'], ['x, y, z']]\"\n62,\"[['x, y, z', '-x+1/2, -y+1/2, z', '-y+1/2, x, z', 'y, -x+1/2, z', '-x+1/2, y, -z', 'x, -y+1/2, -z', 'y, x, -z', '-y+1/2, -x+1/2, -z', '-x, -y, -z', 'x+1/2, y+1/2, -z', 'y+1/2, -x, -z', '-y, x+1/2, -z', 'x+1/2, -y, z', '-x, y+1/2, z', '-y, -x, z', 'y+1/2, x+1/2, z'], ['x, y, z', '-x+1/2, -y+1/2, z', '-y+1/2, x, z', 'y, -x+1/2, z', '-x+1/2, y, -z', 'x, -y+1/2, -z', 'y, x, -z', '-y+1/2, -x+1/2, -z'], ['x, y, z', '-x+1/2, -y+1/2, z', '-y+1/2, x, z', 'y, -x+1/2, z', '-x, -y, -z', 'x+1/2, y+1/2, -z', 'y+1/2, -x, -z', '-y, x+1/2, -z'], ['x, y, z', '-x+1/2, -y+1/2, z', '-y+1/2, x, z', 'y, -x+1/2, z', '-x, -y, -z', 'x+1/2, y+1/2, -z', 'y+1/2, -x, -z', '-y, x+1/2, -z'], ['x, y, z', '-y+1/2, x, z', '-x+1/2, y, -z', 'y, x, -z'], ['x, y, z', '-x+1/2, y, -z', '-x, -y, -z', 'x+1/2, -y, z'], ['x, y, z', '-x+1/2, -y+1/2, z', '-y+1/2, x, z', 'y, -x+1/2, z'], ['x, y, z', '-y+1/2, x, z'], ['x, y, z', '-x, -y, -z']]\"\n63,\"[['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z', '-x+1/2, y+1/2, -z', 'x+1/2, -y+1/2, -z', 'y+1/2, x+1/2, -z', '-y+1/2, -x+1/2, -z', '-x, -y, -z', 'x, y, -z', 'y, -x, -z', '-y, x, -z', 'x+1/2, -y+1/2, z', '-x+1/2, y+1/2, z', '-y+1/2, -x+1/2, z', 'y+1/2, x+1/2, z'], ['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z', '-x+1/2, y+1/2, -z', 'x+1/2, -y+1/2, -z', 'y+1/2, x+1/2, -z', '-y+1/2, -x+1/2, -z'], ['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z', '-x+1/2, y+1/2, -z', 'x+1/2, -y+1/2, -z', 'y+1/2, x+1/2, -z', '-y+1/2, -x+1/2, -z'], ['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z'], ['x, y, z', '-y, x, z', '-x+1/2, y+1/2, -z', 'y+1/2, x+1/2, -z'], ['x, y, z', '-x+1/2, y+1/2, -z', '-x, -y, -z', 'x+1/2, -y+1/2, z'], ['x, y, z', '-y, x, z'], ['x, y, z', '-x+1/2, y+1/2, -z']]\"\n64,\"[['x, y, z', '-x+1/2, -y+1/2, z', '-y+1/2, x, z', 'y, -x+1/2, z', '-x, y+1/2, -z', 'x+1/2, -y, -z', 'y+1/2, x+1/2, -z', '-y, -x, -z', '-x, -y, -z', 'x+1/2, y+1/2, -z', 'y+1/2, -x, -z', '-y, x+1/2, -z', 'x, -y+1/2, z', '-x+1/2, y, z', '-y+1/2, -x+1/2, z', 'y, x, z'], ['x, y, z', '-x+1/2, -y+1/2, z', '-y+1/2, x, z', 'y, -x+1/2, z', '-x, y+1/2, -z', 'x+1/2, -y, -z', 'y+1/2, x+1/2, -z', '-y, -x, -z'], ['x, y, z', '-x+1/2, -y+1/2, z', '-y+1/2, x, z', 'y, -x+1/2, z', '-x, y+1/2, -z', 'x+1/2, -y, -z', 'y+1/2, x+1/2, -z', '-y, -x, -z'], ['x, y, z', '-x+1/2, -y+1/2, z', '-y+1/2, x, z', 'y, -x+1/2, z', '-x, -y, -z', 'x+1/2, y+1/2, -z', 'y+1/2, -x, -z', '-y, x+1/2, -z'], ['x, y, z', '-y+1/2, x, z', '-x, y+1/2, -z', 'y+1/2, x+1/2, -z'], ['x, y, z', '-x+1/2, -y+1/2, z', '-y+1/2, x, z', 'y, -x+1/2, z'], ['x, y, z', '-x, y+1/2, -z'], ['x, y, z', '-y+1/2, x, z']]\"\n65,\"[['x, y, z', '-y, x-y, z', '-x+y, -x, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']]\"\n66,\"[['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, -z', 'y, -x+y, -z', 'x-y, x, -z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z'], ['x, y, z', '-x, -y, -z'], ['x, y, z', '-x, -y, -z'], ['x, y, z']]\"\n67,\"[['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-y, -x, -z', '-x+y, y, -z', 'x, x-y, -z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z'], ['x, y, z', '-y, -x, -z'], ['x, y, z', '-y, -x, -z'], ['x, y, z', '-y, -x, -z'], ['x, y, z'], ['x, y, z'], ['x, y, z']]\"\n68,\"[['x, y, z', '-y, x-y, z', '-x+y, -x, z', 'y, x, -z', 'x-y, -y, -z', '-x, -x+y, -z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z'], ['x, y, z', 'y, x, -z'], ['x, y, z', 'y, x, -z'], ['x, y, z']]\"\n69,\"[['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-y, -x, z', '-x+y, y, z', 'x, x-y, z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']]\"\n70,\"[['x, y, z', '-y, x-y, z', '-x+y, -x, z', 'y, x, z', 'x-y, -y, z', '-x, -x+y, z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z'], ['x, y, z', 'y, x, z'], ['x, y, z']]\"\n71,\"[['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-y, -x, -z', '-x+y, y, -z', 'x, x-y, -z', '-x, -y, -z', 'y, -x+y, -z', 'x-y, x, -z', 'y, x, z', 'x-y, -y, z', '-x, -x+y, z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-y, -x, -z', '-x+y, y, -z', 'x, x-y, -z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, -z', 'y, -x+y, -z', 'x-y, x, -z'], ['x, y, z', '-y, -x, -z', '-x, -y, -z', 'y, x, z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z'], ['x, y, z', '-y, -x, -z'], ['x, y, z', '-x, -y, -z'], ['x, y, z']]\"\n72,\"[['x, y, z', '-y, x-y, z', '-x+y, -x, z', 'y, x, -z', 'x-y, -y, -z', '-x, -x+y, -z', '-x, -y, -z', 'y, -x+y, -z', 'x-y, x, -z', '-y, -x, z', '-x+y, y, z', 'x, x-y, z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', 'y, x, -z', 'x-y, -y, -z', '-x, -x+y, -z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, -z', 'y, -x+y, -z', 'x-y, x, -z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z'], ['x, y, z', 'y, x, -z'], ['x, y, z', 'y, x, -z'], ['x, y, z']]\"\n73,\"[['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, z', 'y, -x+y, z', 'x-y, x, z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z'], ['x, y, z', '-x, -y, z'], ['x, y, z']]\"\n74,\"[['x, y, z', '-y, x-y, z', '-x+y, -x, z', 'x, y, -z', '-y, x-y, -z', '-x+y, -x, -z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z'], ['x, y, z'], ['x, y, z']]\"\n75,\"[['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, z', 'y, -x+y, z', 'x-y, x, z', '-x, -y, -z', 'y, -x+y, -z', 'x-y, x, -z', 'x, y, -z', '-y, x-y, -z', '-x+y, -x, -z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, z', 'y, -x+y, z', 'x-y, x, z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, -z', 'y, -x+y, -z', 'x-y, x, -z'], ['x, y, z', '-x, -y, z', '-x, -y, -z', 'x, y, -z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z'], ['x, y, z', '-x, -y, -z'], ['x, y, z', '-x, -y, z'], ['x, y, z']]\"\n76,\"[['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, z', 'y, -x+y, z', 'x-y, x, z', 'y, x, -z', 'x-y, -y, -z', '-x, -x+y, -z', '-y, -x, -z', '-x+y, y, -z', 'x, x-y, -z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, z', 'y, -x+y, z', 'x-y, x, z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, z', 'y, -x+y, z', 'x-y, x, z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', 'y, x, -z', 'x-y, -y, -z', '-x, -x+y, -z'], ['x, y, z', '-x, -y, z', 'y, x, -z', '-y, -x, -z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z'], ['x, y, z', 'y, x, -z'], ['x, y, z', '-x, -y, z'], ['x, y, z']]\"\n77,\"[['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, z', 'y, -x+y, z', 'x-y, x, z', '-y, -x, z', '-x+y, y, z', 'x, x-y, z', 'y, x, z', 'x-y, -y, z', '-x, -x+y, z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, z', 'y, -x+y, z', 'x-y, x, z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, z', 'y, -x+y, z', 'x-y, x, z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z'], ['x, y, z', '-x, -y, z'], ['x, y, z']]\"\n78,\"[['x, y, z', '-y, x-y, z', '-x+y, -x, z', 'x, y, -z', '-y, x-y, -z', '-x+y, -x, -z', '-y, -x, z', '-x+y, y, z', 'x, x-y, z', '-y, -x, -z', '-x+y, y, -z', 'x, x-y, -z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', 'x, y, -z', '-y, x-y, -z', '-x+y, -x, -z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-y, -x, z', '-x+y, y, z', 'x, x-y, z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z'], ['x, y, z'], ['x, y, z']]\"\n79,\"[['x, y, z', '-y, x-y, z', '-x+y, -x, z', 'x, y, -z', '-y, x-y, -z', '-x+y, -x, -z', 'y, x, -z', 'x-y, -y, -z', '-x, -x+y, -z', 'y, x, z', 'x-y, -y, z', '-x, -x+y, z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', 'y, x, -z', 'x-y, -y, -z', '-x, -x+y, -z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', 'x, y, -z', '-y, x-y, -z', '-x+y, -x, -z'], ['x, y, z', 'x, y, -z', 'y, x, -z', 'y, x, z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'y, x, -z'], ['x, y, z']]\"\n80,\"[['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, z', 'y, -x+y, z', 'x-y, x, z', 'y, x, -z', 'x-y, -y, -z', '-x, -x+y, -z', '-y, -x, -z', '-x+y, y, -z', 'x, x-y, -z', '-x, -y, -z', 'y, -x+y, -z', 'x-y, x, -z', 'x, y, -z', '-y, x-y, -z', '-x+y, -x, -z', '-y, -x, z', '-x+y, y, z', 'x, x-y, z', 'y, x, z', 'x-y, -y, z', '-x, -x+y, z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, z', 'y, -x+y, z', 'x-y, x, z', 'y, x, -z', 'x-y, -y, -z', '-x, -x+y, -z', '-y, -x, -z', '-x+y, y, -z', 'x, x-y, -z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, z', 'y, -x+y, z', 'x-y, x, z', 'y, x, -z', 'x-y, -y, -z', '-x, -x+y, -z', '-y, -x, -z', '-x+y, y, -z', 'x, x-y, -z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, z', 'y, -x+y, z', 'x-y, x, z', 'y, x, -z', 'x-y, -y, -z', '-x, -x+y, -z', '-y, -x, -z', '-x+y, y, -z', 'x, x-y, -z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, z', 'y, -x+y, z', 'x-y, x, z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, z', 'y, -x+y, z', 'x-y, x, z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', 'y, x, -z', 'x-y, -y, -z', '-x, -x+y, -z'], ['x, y, z', '-x, -y, z', 'y, x, -z', '-y, -x, -z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z'], ['x, y, z', 'y, x, -z'], ['x, y, z', '-x, -y, z'], ['x, y, z']]\"\n"
  },
  {
    "path": "pyxtal/database/layer_symmetry.csv",
    "content": ",0\n0,\n1,\"[[['x, y, z']]]\"\n2,\"[[['x, y, z'], ['x, y, z']], [['x, y, z', '-x+1, -y+1, -z']], [['x, y, z', '-x+1, -y, -z']], [['x, y, z', '-x, -y+1, -z']], [['x, y, z', '-x, -y, -z']]]\"\n3,\"[[['x, y, z'], ['x, y, z']], [['x, y, z', '-x+1, -y+1, z']], [['x, y, z', '-x+1, -y, z']], [['x, y, z', '-x, -y+1, z']], [['x, y, z', '-x, -y, z']]]\"\n4,\"[[['x, y, z'], ['x, y, z']], [['x, y, z', 'x, y, -z']]]\"\n5,\"[[['x, y, z'], ['x, y, z']]]\"\n6,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z']], [['x, y, z', '-x+1, -y+1, z'], ['x, y, z', '-x+1, -y+1, z']], [['x, y, z', '-x+1, -y, z'], ['x, y, z', '-x+1, -y, z']], [['x, y, z', '-x, -y+1, z'], ['x, y, z', '-x, -y+1, z']], [['x, y, z', '-x, -y, z'], ['x, y, z', '-x, -y, z']], [['x, y, z', '-x+1, -y+1, z', '-x+1, -y+1, -z', 'x, y, -z']], [['x, y, z', '-x, -y+1, z', '-x, -y+1, -z', 'x, y, -z']], [['x, y, z', '-x+1, -y, z', '-x+1, -y, -z', 'x, y, -z']], [['x, y, z', '-x, -y, z', '-x, -y, -z', 'x, y, -z']]]\"\n7,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-x+1/2, -y+1, z'], ['x, y, z', '-x+3/2, -y+1, z']], [['x, y, z', '-x+1/2, -y, z'], ['x, y, z', '-x+3/2, -y, z']], [['x, y, z', '-x, -y+1, -z'], ['x, y, z', '-x+1, -y+1, -z']], [['x, y, z', '-x, -y, -z'], ['x, y, z', '-x+1, -y, -z']]]\"\n8,\"[[['x, y, z'], ['x, y, z']], [['x, y, z', 'x, -y+1, -z']], [['x, y, z', 'x, -y, -z']]]\"\n9,\"[[['x, y, z'], ['x, y, z']]]\"\n10,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', 'x, -y, -z'], ['x, y, z', 'x, -y+1, -z']]]\"\n11,\"[[['x, y, z'], ['x, y, z']], [['x, y, z', '-x+1, y, z']], [['x, y, z', '-x, y, z']]]\"\n12,\"[[['x, y, z'], ['x, y, z']]]\"\n13,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-x, y, z'], ['x, y, z', '-x+1, y, z']]]\"\n14,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-x+1, y, z'], ['x, y, z', '-x+1, y, z']], [['x, y, z', '-x, y, z'], ['x, y, z', '-x, y, z']], [['x, y, z', 'x, -y+1, -z'], ['x, y, z', 'x, -y+1, -z']], [['x, y, z', 'x, -y, -z'], ['x, y, z', 'x, -y, -z']], [['x, y, z', 'x, -y+1, -z', '-x+1, -y+1, -z', '-x+1, y, z']], [['x, y, z', 'x, -y+1, -z', '-x, -y+1, -z', '-x, y, z']], [['x, y, z', 'x, -y, -z', '-x+1, -y, -z', '-x+1, y, z']], [['x, y, z', 'x, -y, -z', '-x, -y, -z', '-x, y, z']]]\"\n15,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-x+1/2, y, z'], ['x, y, z', '-x+3/2, y, z']], [['x, y, z', '-x, -y+1, -z'], ['x, y, z', '-x+1, -y+1, -z']], [['x, y, z', '-x, -y, -z'], ['x, y, z', '-x+1, -y, -z']]]\"\n16,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', 'x, -y+1/2, -z'], ['x, y, z', 'x, -y+3/2, -z']], [['x, y, z', '-x+1, -y, -z'], ['x, y, z', '-x+1, -y+1, -z']], [['x, y, z', '-x, -y, -z'], ['x, y, z', '-x, -y+1, -z']]]\"\n17,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-x, -y+1, -z'], ['x, y, z', '-x+1, -y, -z']], [['x, y, z', '-x, -y, -z'], ['x, y, z', '-x+1, -y+1, -z']]]\"\n18,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-x, y, z'], ['x, y, z', '-x, y, z'], ['x, y, z', '-x+1, y, z'], ['x, y, z', '-x+1, y, z']], [['x, y, z', 'x, -y, -z'], ['x, y, z', 'x, -y, -z'], ['x, y, z', 'x, -y+1, -z'], ['x, y, z', 'x, -y+1, -z']], [['x, y, z', '-x+1/2, -y+1/2, -z'], ['x, y, z', '-x+1/2, -y+3/2, -z'], ['x, y, z', '-x+3/2, -y+3/2, -z'], ['x, y, z', '-x+3/2, -y+5/2, -z']], [['x, y, z', 'x, -y, -z', '-x+1, -y, -z', '-x+1, y, z'], ['x, y, z', 'x, -y+1, -z', '-x+2, -y+1, -z', '-x+2, y, z']], [['x, y, z', 'x, -y, -z', '-x, -y, -z', '-x, y, z'], ['x, y, z', 'x, -y+1, -z', '-x+1, -y+1, -z', '-x+1, y, z']]]\"\n19,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-x+1, -y+1, z'], ['x, y, z', '-x+1, -y+1, z']], [['x, y, z', '-x, -y+1, z'], ['x, y, z', '-x, -y+1, z']], [['x, y, z', '-x+1, -y, z'], ['x, y, z', '-x+1, -y, z']], [['x, y, z', '-x, -y, z'], ['x, y, z', '-x, -y, z']], [['x, y, z', '-x+1, y, -z'], ['x, y, z', '-x+1, y, -z']], [['x, y, z', '-x, y, -z'], ['x, y, z', '-x, y, -z']], [['x, y, z', 'x, -y+1, -z'], ['x, y, z', 'x, -y+1, -z']], [['x, y, z', 'x, -y, -z'], ['x, y, z', 'x, -y, -z']], [['x, y, z', '-x+1, -y+1, z', '-x+1, y, -z', 'x, -y+1, -z']], [['x, y, z', '-x, -y+1, z', '-x, y, -z', 'x, -y+1, -z']], [['x, y, z', '-x+1, -y, z', '-x+1, y, -z', 'x, -y, -z']], [['x, y, z', '-x, -y, z', '-x, y, -z', 'x, -y, -z']]]\"\n20,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-x+1/2, y, -z'], ['x, y, z', '-x+3/2, y, -z']], [['x, y, z', '-x, -y+1, z'], ['x, y, z', '-x+1, -y+1, z']], [['x, y, z', '-x, -y, z'], ['x, y, z', '-x+1, -y, z']]]\"\n21,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-x, -y+1, z'], ['x, y, z', '-x+1, -y, z']], [['x, y, z', '-x, -y, z'], ['x, y, z', '-x+1, -y+1, z']]]\"\n22,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-x+1/2, -y+1/2, z'], ['x, y, z', '-x+3/2, -y+1/2, z'], ['x, y, z', '-x+3/2, -y+3/2, z'], ['x, y, z', '-x+5/2, -y+3/2, z']], [['x, y, z', '-x, -y+1, z'], ['x, y, z', '-x, -y+1, z'], ['x, y, z', '-x+1, -y+2, z'], ['x, y, z', '-x+1, -y+2, z']], [['x, y, z', '-x, -y, z'], ['x, y, z', '-x, -y, z'], ['x, y, z', '-x+1, -y+1, z'], ['x, y, z', '-x+1, -y+1, z']], [['x, y, z', '-x, y, -z'], ['x, y, z', '-x, y, -z'], ['x, y, z', '-x+1, y, -z'], ['x, y, z', '-x+1, y, -z']], [['x, y, z', 'x, -y, -z'], ['x, y, z', 'x, -y, -z'], ['x, y, z', 'x, -y+1, -z'], ['x, y, z', 'x, -y+1, -z']], [['x, y, z', '-x, -y+1, z', '-x, y, -z', 'x, -y+1, -z'], ['x, y, z', '-x+1, -y+2, z', '-x+1, y, -z', 'x, -y+2, -z']], [['x, y, z', '-x, -y, z', '-x, y, -z', 'x, -y, -z'], ['x, y, z', '-x+1, -y+1, z', '-x+1, y, -z', 'x, -y+1, -z']]]\"\n23,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-x+1, y, z'], ['x, y, z', '-x+1, y, z']], [['x, y, z', '-x, y, z'], ['x, y, z', '-x, y, z']], [['x, y, z', 'x, -y+1, z'], ['x, y, z', 'x, -y+1, z']], [['x, y, z', 'x, -y, z'], ['x, y, z', 'x, -y, z']], [['x, y, z', '-x+1, -y+1, z', 'x, -y+1, z', '-x+1, y, z']], [['x, y, z', '-x+1, -y, z', 'x, -y, z', '-x+1, y, z']], [['x, y, z', '-x, -y+1, z', 'x, -y+1, z', '-x, y, z']], [['x, y, z', '-x, -y, z', 'x, -y, z', '-x, y, z']]]\"\n24,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-x+1/2, y, z'], ['x, y, z', '-x+3/2, y, z']], [['x, y, z', '-x, -y+1, z'], ['x, y, z', '-x+1, -y+1, z']], [['x, y, z', '-x, -y, z'], ['x, y, z', '-x+1, -y, z']]]\"\n25,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-x, -y+1, z'], ['x, y, z', '-x+1, -y, z']], [['x, y, z', '-x, -y, z'], ['x, y, z', '-x+1, -y+1, z']]]\"\n26,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-x, y, z'], ['x, y, z', '-x, y, z'], ['x, y, z', '-x+1, y, z'], ['x, y, z', '-x+1, y, z']], [['x, y, z', 'x, -y, z'], ['x, y, z', 'x, -y, z'], ['x, y, z', 'x, -y+1, z'], ['x, y, z', 'x, -y+1, z']], [['x, y, z', '-x+1/2, -y+1/2, z'], ['x, y, z', '-x+1/2, -y+3/2, z'], ['x, y, z', '-x+3/2, -y+3/2, z'], ['x, y, z', '-x+3/2, -y+5/2, z']], [['x, y, z', '-x, -y+1, z', 'x, -y+1, z', '-x, y, z'], ['x, y, z', '-x+1, -y+2, z', 'x, -y+2, z', '-x+1, y, z']], [['x, y, z', '-x, -y, z', 'x, -y, z', '-x, y, z'], ['x, y, z', '-x+1, -y+1, z', 'x, -y+1, z', '-x+1, y, z']]]\"\n27,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z']], [['x, y, z', '-x+1, y, z'], ['x, y, z', '-x+1, y, z']], [['x, y, z', '-x, y, z'], ['x, y, z', '-x, y, z']], [['x, y, z', '-x+1, y, -z', '-x+1, y, z', 'x, y, -z']], [['x, y, z', '-x, y, -z', '-x, y, z', 'x, y, -z']]]\"\n28,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-x+1, y, z'], ['x, y, z', '-x+1, y, z']], [['x, y, z', '-x, y, z'], ['x, y, z', '-x, y, z']]]\"\n29,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z']]]\"\n30,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-x+1, y, -z'], ['x, y, z', '-x+1, y, -z']], [['x, y, z', '-x, y, -z'], ['x, y, z', '-x, y, -z']]]\"\n31,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-x+1/2, y, z'], ['x, y, z', '-x+3/2, y, z']], [['x, y, z', '-x, y, -z'], ['x, y, z', '-x+1, y, -z']]]\"\n32,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-x, y, z'], ['x, y, z', '-x+1, y, z']]]\"\n33,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']]]\"\n34,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-x, y, -z'], ['x, y, z', '-x+1, y, -z']]]\"\n35,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z']], [['x, y, z', '-x, y, z'], ['x, y, z', '-x, y, z'], ['x, y, z', '-x+1, y, z'], ['x, y, z', '-x+1, y, z']], [['x, y, z', '-x, y, -z', '-x, y, z', 'x, y, -z'], ['x, y, z', '-x+1, y, -z', '-x+1, y, z', 'x, y, -z']]]\"\n36,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-x+1/2, y, z'], ['x, y, z', '-x+3/2, y, z'], ['x, y, z', '-x+3/2, y, z'], ['x, y, z', '-x+5/2, y, z']], [['x, y, z', '-x, y, -z'], ['x, y, z', '-x+1, y, -z'], ['x, y, z', '-x+1, y, -z'], ['x, y, z', '-x+2, y, -z']]]\"\n37,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z']], [['x, y, z', 'x, -y+1, z'], ['x, y, z', 'x, -y+1, z'], ['x, y, z', 'x, -y+1, z'], ['x, y, z', 'x, -y+1, z']], [['x, y, z', 'x, -y, z'], ['x, y, z', 'x, -y, z'], ['x, y, z', 'x, -y, z'], ['x, y, z', 'x, -y, z']], [['x, y, z', '-x+1, y, z'], ['x, y, z', '-x+1, y, z'], ['x, y, z', '-x+1, y, z'], ['x, y, z', '-x+1, y, z']], [['x, y, z', '-x, y, z'], ['x, y, z', '-x, y, z'], ['x, y, z', '-x, y, z'], ['x, y, z', '-x, y, z']], [['x, y, z', '-x+1, -y+1, z', 'x, -y+1, z', '-x+1, y, z'], ['x, y, z', '-x+1, -y+1, z', 'x, -y+1, z', '-x+1, y, z']], [['x, y, z', '-x+1, -y, z', 'x, -y, z', '-x+1, y, z'], ['x, y, z', '-x+1, -y, z', 'x, -y, z', '-x+1, y, z']], [['x, y, z', '-x, -y+1, z', 'x, -y+1, z', '-x, y, z'], ['x, y, z', '-x, -y+1, z', 'x, -y+1, z', '-x, y, z']], [['x, y, z', '-x, -y, z', 'x, -y, z', '-x, y, z'], ['x, y, z', '-x, -y, z', 'x, -y, z', '-x, y, z']], [['x, y, z', '-x+1, y, -z', 'x, y, -z', '-x+1, y, z'], ['x, y, z', '-x+1, y, -z', 'x, y, -z', '-x+1, y, z']], [['x, y, z', '-x, y, -z', 'x, y, -z', '-x, y, z'], ['x, y, z', '-x, y, -z', 'x, y, -z', '-x, y, z']], [['x, y, z', 'x, -y+1, -z', 'x, y, -z', 'x, -y+1, z'], ['x, y, z', 'x, -y+1, -z', 'x, y, -z', 'x, -y+1, z']], [['x, y, z', 'x, -y, -z', 'x, y, -z', 'x, -y, z'], ['x, y, z', 'x, -y, -z', 'x, y, -z', 'x, -y, z']], [['x, y, z', '-x+1, -y+1, z', '-x+1, y, -z', 'x, -y+1, -z', '-x+1, -y+1, -z', 'x, y, -z', 'x, -y+1, z', '-x+1, y, z']], [['x, y, z', '-x, -y+1, z', '-x, y, -z', 'x, -y+1, -z', '-x, -y+1, -z', 'x, y, -z', 'x, -y+1, z', '-x, y, z']], [['x, y, z', '-x+1, -y, z', '-x+1, y, -z', 'x, -y, -z', '-x+1, -y, -z', 'x, y, -z', 'x, -y, z', '-x+1, y, z']], [['x, y, z', '-x, -y, z', '-x, y, -z', 'x, -y, -z', '-x, -y, -z', 'x, y, -z', 'x, -y, z', '-x, y, z']]]\"\n38,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-x, y, z'], ['x, y, z', '-x, y, z'], ['x, y, z', '-x+1, y, z'], ['x, y, z', '-x+1, y, z']], [['x, y, z', 'x, -y+1, -z'], ['x, y, z', 'x, -y+1, -z'], ['x, y, z', 'x, -y+1, -z'], ['x, y, z', 'x, -y+1, -z']], [['x, y, z', 'x, -y, -z'], ['x, y, z', 'x, -y, -z'], ['x, y, z', 'x, -y, -z'], ['x, y, z', 'x, -y, -z']], [['x, y, z', '-x+1/2, -y+1, z'], ['x, y, z', '-x+1/2, -y+1, z'], ['x, y, z', '-x+3/2, -y+1, z'], ['x, y, z', '-x+3/2, -y+1, z']], [['x, y, z', '-x+1/2, -y, z'], ['x, y, z', '-x+1/2, -y, z'], ['x, y, z', '-x+3/2, -y, z'], ['x, y, z', '-x+3/2, -y, z']], [['x, y, z', '-x+1/2, y, -z'], ['x, y, z', '-x+1/2, y, -z'], ['x, y, z', '-x+3/2, y, -z'], ['x, y, z', '-x+3/2, y, -z']], [['x, y, z', 'x, -y+1, -z', '-x+1/2, -y+1, z', '-x+1/2, y, -z'], ['x, y, z', 'x, -y+1, -z', '-x+3/2, -y+1, z', '-x+3/2, y, -z']], [['x, y, z', 'x, -y, -z', '-x+1/2, -y, z', '-x+1/2, y, -z'], ['x, y, z', 'x, -y, -z', '-x+3/2, -y, z', '-x+3/2, y, -z']], [['x, y, z', 'x, -y+1, -z', '-x, -y+1, -z', '-x, y, z'], ['x, y, z', 'x, -y+1, -z', '-x+1, -y+1, -z', '-x+1, y, z']], [['x, y, z', 'x, -y, -z', '-x, -y, -z', '-x, y, z'], ['x, y, z', 'x, -y, -z', '-x+1, -y, -z', '-x+1, y, z']]]\"\n39,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-x+1/2, -y+3/2, z'], ['x, y, z', '-x+1/2, -y+3/2, z'], ['x, y, z', '-x+3/2, -y+1/2, z'], ['x, y, z', '-x+3/2, -y+1/2, z']], [['x, y, z', '-x+1/2, -y+1/2, z'], ['x, y, z', '-x+1/2, -y+1/2, z'], ['x, y, z', '-x+3/2, -y+3/2, z'], ['x, y, z', '-x+3/2, -y+3/2, z']], [['x, y, z', '-x+1/2, y, -z'], ['x, y, z', '-x+1/2, y, -z'], ['x, y, z', '-x+3/2, y, -z'], ['x, y, z', '-x+3/2, y, -z']], [['x, y, z', 'x, -y+1/2, -z'], ['x, y, z', 'x, -y+1/2, -z'], ['x, y, z', 'x, -y+3/2, -z'], ['x, y, z', 'x, -y+3/2, -z']], [['x, y, z', '-x, -y, -z'], ['x, y, z', '-x+1, -y+1, -z'], ['x, y, z', '-x+1, -y, -z'], ['x, y, z', '-x, -y+1, -z']], [['x, y, z', '-x+3/2, -y+1/2, z', '-x+3/2, y, -z', 'x, -y+1/2, -z'], ['x, y, z', '-x+1/2, -y+3/2, z', '-x+1/2, y, -z', 'x, -y+3/2, -z']], [['x, y, z', '-x+1/2, -y+1/2, z', '-x+1/2, y, -z', 'x, -y+1/2, -z'], ['x, y, z', '-x+3/2, -y+3/2, z', '-x+3/2, y, -z', 'x, -y+3/2, -z']]]\"\n40,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-x+1/2, y, z'], ['x, y, z', '-x+1/2, y, z'], ['x, y, z', '-x+3/2, y, z'], ['x, y, z', '-x+3/2, y, z']], [['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z']], [['x, y, z', '-x, -y+1, z'], ['x, y, z', '-x+1, -y+1, z'], ['x, y, z', '-x, -y+1, z'], ['x, y, z', '-x+1, -y+1, z']], [['x, y, z', '-x, -y, z'], ['x, y, z', '-x+1, -y, z'], ['x, y, z', '-x, -y, z'], ['x, y, z', '-x+1, -y, z']], [['x, y, z', '-x+1/2, y, -z', 'x, y, -z', '-x+1/2, y, z'], ['x, y, z', '-x+3/2, y, -z', 'x, y, -z', '-x+3/2, y, z']], [['x, y, z', '-x, -y+1, z', '-x, -y+1, -z', 'x, y, -z'], ['x, y, z', '-x+1, -y+1, z', '-x+1, -y+1, -z', 'x, y, -z']], [['x, y, z', '-x, -y, z', '-x, -y, -z', 'x, y, -z'], ['x, y, z', '-x+1, -y, z', '-x+1, -y, -z', 'x, y, -z']]]\"\n41,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-x+1/2, y, z'], ['x, y, z', '-x+1/2, y, z'], ['x, y, z', '-x+3/2, y, z'], ['x, y, z', '-x+3/2, y, z']], [['x, y, z', 'x, -y+1, z'], ['x, y, z', 'x, -y+1, z'], ['x, y, z', 'x, -y+1, z'], ['x, y, z', 'x, -y+1, z']], [['x, y, z', 'x, -y, z'], ['x, y, z', 'x, -y, z'], ['x, y, z', 'x, -y, z'], ['x, y, z', 'x, -y, z']], [['x, y, z', '-x, y, -z'], ['x, y, z', '-x+1, y, -z'], ['x, y, z', '-x, y, -z'], ['x, y, z', '-x+1, y, -z']], [['x, y, z', '-x+1/2, -y+1, z', 'x, -y+1, z', '-x+1/2, y, z'], ['x, y, z', '-x+3/2, -y+1, z', 'x, -y+1, z', '-x+3/2, y, z']], [['x, y, z', '-x+1/2, -y, z', 'x, -y, z', '-x+1/2, y, z'], ['x, y, z', '-x+3/2, -y, z', 'x, -y, z', '-x+3/2, y, z']], [['x, y, z', '-x, y, -z', '-x, -y+1, -z', 'x, -y+1, z'], ['x, y, z', '-x+1, y, -z', '-x+1, -y+1, -z', 'x, -y+1, z']], [['x, y, z', '-x, y, -z', '-x, -y, -z', 'x, -y, z'], ['x, y, z', '-x+1, y, -z', '-x+1, -y, -z', 'x, -y, z']]]\"\n42,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-x, y, z'], ['x, y, z', '-x+1, y, z'], ['x, y, z', '-x+1, y, z'], ['x, y, z', '-x, y, z']], [['x, y, z', '-x+1/2, -y+1/2, z'], ['x, y, z', '-x+1/2, -y+3/2, z'], ['x, y, z', '-x+3/2, -y+3/2, z'], ['x, y, z', '-x+3/2, -y+1/2, z']], [['x, y, z', 'x, -y, -z'], ['x, y, z', 'x, -y+1, -z'], ['x, y, z', 'x, -y, -z'], ['x, y, z', 'x, -y+1, -z']], [['x, y, z', 'x, -y, -z', '-x+1, -y, -z', '-x+1, y, z'], ['x, y, z', 'x, -y+1, -z', '-x, -y+1, -z', '-x, y, z']], [['x, y, z', 'x, -y, -z', '-x, -y, -z', '-x, y, z'], ['x, y, z', 'x, -y+1, -z', '-x+1, -y+1, -z', '-x+1, y, z']]]\"\n43,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', 'x, -y+1/2, -z'], ['x, y, z', 'x, -y+3/2, -z'], ['x, y, z', 'x, -y+3/2, -z'], ['x, y, z', 'x, -y+1/2, -z']], [['x, y, z', '-x+1/2, -y, z'], ['x, y, z', '-x+1/2, -y+1, z'], ['x, y, z', '-x+3/2, -y, z'], ['x, y, z', '-x+3/2, -y+1, z']], [['x, y, z', '-x, -y, -z'], ['x, y, z', '-x, -y+1, -z'], ['x, y, z', '-x+1, -y, -z'], ['x, y, z', '-x+1, -y+1, -z']]]\"\n44,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z']], [['x, y, z', '-x, -y+1, z'], ['x, y, z', '-x+1, -y, z'], ['x, y, z', '-x, -y+1, z'], ['x, y, z', '-x+1, -y, z']], [['x, y, z', '-x, -y, z'], ['x, y, z', '-x+1, -y+1, z'], ['x, y, z', '-x, -y, z'], ['x, y, z', '-x+1, -y+1, z']], [['x, y, z', '-x, -y+1, z', '-x, -y+1, -z', 'x, y, -z'], ['x, y, z', '-x+1, -y, z', '-x+1, -y, -z', 'x, y, -z']], [['x, y, z', '-x, -y, z', '-x, -y, -z', 'x, y, -z'], ['x, y, z', '-x+1, -y+1, z', '-x+1, -y+1, -z', 'x, y, -z']]]\"\n45,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', 'x, -y+1/2, z'], ['x, y, z', 'x, -y+3/2, z'], ['x, y, z', 'x, -y+1/2, z'], ['x, y, z', 'x, -y+3/2, z']], [['x, y, z', '-x+1/2, -y, z'], ['x, y, z', '-x+3/2, -y+1, z'], ['x, y, z', '-x+3/2, -y, z'], ['x, y, z', '-x+1/2, -y+1, z']], [['x, y, z', '-x, -y, -z'], ['x, y, z', '-x, -y+1, -z'], ['x, y, z', '-x+1, -y+1, -z'], ['x, y, z', '-x+1, -y, -z']]]\"\n46,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', 'x, -y+1/2, z'], ['x, y, z', 'x, -y+1/2, z'], ['x, y, z', 'x, -y+3/2, z'], ['x, y, z', 'x, -y+3/2, z']], [['x, y, z', '-x+1/2, y, z'], ['x, y, z', '-x+1/2, y, z'], ['x, y, z', '-x+3/2, y, z'], ['x, y, z', '-x+3/2, y, z']], [['x, y, z', '-x, -y, -z'], ['x, y, z', '-x+1, -y+1, -z'], ['x, y, z', '-x, -y+1, -z'], ['x, y, z', '-x+1, -y, -z']], [['x, y, z', '-x+1/2, -y+3/2, z', 'x, -y+3/2, z', '-x+1/2, y, z'], ['x, y, z', '-x+3/2, -y+1/2, z', 'x, -y+1/2, z', '-x+3/2, y, z']], [['x, y, z', '-x+1/2, -y+1/2, z', 'x, -y+1/2, z', '-x+1/2, y, z'], ['x, y, z', '-x+3/2, -y+3/2, z', 'x, -y+3/2, z', '-x+3/2, y, z']]]\"\n47,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z']], [['x, y, z', 'x, -y, z'], ['x, y, z', 'x, -y, z'], ['x, y, z', 'x, -y, z'], ['x, y, z', 'x, -y, z'], ['x, y, z', 'x, -y+1, z'], ['x, y, z', 'x, -y+1, z'], ['x, y, z', 'x, -y+1, z'], ['x, y, z', 'x, -y+1, z']], [['x, y, z', '-x, y, z'], ['x, y, z', '-x, y, z'], ['x, y, z', '-x, y, z'], ['x, y, z', '-x, y, z'], ['x, y, z', '-x+1, y, z'], ['x, y, z', '-x+1, y, z'], ['x, y, z', '-x+1, y, z'], ['x, y, z', '-x+1, y, z']], [['x, y, z', '-x+1/2, -y+1/2, z'], ['x, y, z', '-x+3/2, -y+1/2, z'], ['x, y, z', '-x+3/2, -y+3/2, z'], ['x, y, z', '-x+1/2, -y+3/2, z'], ['x, y, z', '-x+3/2, -y+3/2, z'], ['x, y, z', '-x+5/2, -y+3/2, z'], ['x, y, z', '-x+5/2, -y+5/2, z'], ['x, y, z', '-x+3/2, -y+5/2, z']], [['x, y, z', '-x, -y+1, z', 'x, -y+1, z', '-x, y, z'], ['x, y, z', '-x, -y+1, z', 'x, -y+1, z', '-x, y, z'], ['x, y, z', '-x+1, -y+2, z', 'x, -y+2, z', '-x+1, y, z'], ['x, y, z', '-x+1, -y+2, z', 'x, -y+2, z', '-x+1, y, z']], [['x, y, z', '-x, -y, z', 'x, -y, z', '-x, y, z'], ['x, y, z', '-x, -y, z', 'x, -y, z', '-x, y, z'], ['x, y, z', '-x+1, -y+1, z', 'x, -y+1, z', '-x+1, y, z'], ['x, y, z', '-x+1, -y+1, z', 'x, -y+1, z', '-x+1, y, z']], [['x, y, z', '-x, y, -z', 'x, y, -z', '-x, y, z'], ['x, y, z', '-x, y, -z', 'x, y, -z', '-x, y, z'], ['x, y, z', '-x+1, y, -z', 'x, y, -z', '-x+1, y, z'], ['x, y, z', '-x+1, y, -z', 'x, y, -z', '-x+1, y, z']], [['x, y, z', 'x, -y, -z', 'x, y, -z', 'x, -y, z'], ['x, y, z', 'x, -y, -z', 'x, y, -z', 'x, -y, z'], ['x, y, z', 'x, -y+1, -z', 'x, y, -z', 'x, -y+1, z'], ['x, y, z', 'x, -y+1, -z', 'x, y, -z', 'x, -y+1, z']], [['x, y, z', 'x, y, -z', '-x+1/2, -y+1/2, z', '-x+1/2, -y+1/2, -z'], ['x, y, z', 'x, y, -z', '-x+3/2, -y+1/2, z', '-x+3/2, -y+1/2, -z'], ['x, y, z', 'x, y, -z', '-x+3/2, -y+3/2, z', '-x+3/2, -y+3/2, -z'], ['x, y, z', 'x, y, -z', '-x+5/2, -y+3/2, z', '-x+5/2, -y+3/2, -z']], [['x, y, z', '-x+1, -y, z', '-x+1, y, -z', 'x, -y, -z', '-x+1, -y, -z', 'x, y, -z', 'x, -y, z', '-x+1, y, z'], ['x, y, z', '-x+2, -y+1, z', '-x+2, y, -z', 'x, -y+1, -z', '-x+2, -y+1, -z', 'x, y, -z', 'x, -y+1, z', '-x+2, y, z']], [['x, y, z', '-x, -y, z', '-x, y, -z', 'x, -y, -z', '-x, -y, -z', 'x, y, -z', 'x, -y, z', '-x, y, z'], ['x, y, z', '-x+1, -y+1, z', '-x+1, y, -z', 'x, -y+1, -z', '-x+1, -y+1, -z', 'x, y, -z', 'x, -y+1, z', '-x+1, y, z']]]\"\n48,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', 'x, -y+1/2, z'], ['x, y, z', 'x, -y+1/2, z'], ['x, y, z', 'x, -y+3/2, z'], ['x, y, z', 'x, -y+3/2, z'], ['x, y, z', 'x, -y+3/2, z'], ['x, y, z', 'x, -y+3/2, z'], ['x, y, z', 'x, -y+5/2, z'], ['x, y, z', 'x, -y+5/2, z']], [['x, y, z', '-x, y, z'], ['x, y, z', '-x, y, z'], ['x, y, z', '-x, y, z'], ['x, y, z', '-x, y, z'], ['x, y, z', '-x+1, y, z'], ['x, y, z', '-x+1, y, z'], ['x, y, z', '-x+1, y, z'], ['x, y, z', '-x+1, y, z']], [['x, y, z', '-x+1/2, -y, z'], ['x, y, z', '-x+3/2, -y+1, z'], ['x, y, z', '-x+3/2, -y, z'], ['x, y, z', '-x+1/2, -y+1, z'], ['x, y, z', '-x+3/2, -y+1, z'], ['x, y, z', '-x+5/2, -y+2, z'], ['x, y, z', '-x+5/2, -y+1, z'], ['x, y, z', '-x+3/2, -y+2, z']], [['x, y, z', '-x+1/2, y, -z'], ['x, y, z', '-x+3/2, y, -z'], ['x, y, z', '-x+3/2, y, -z'], ['x, y, z', '-x+1/2, y, -z'], ['x, y, z', '-x+3/2, y, -z'], ['x, y, z', '-x+5/2, y, -z'], ['x, y, z', '-x+5/2, y, -z'], ['x, y, z', '-x+3/2, y, -z']], [['x, y, z', 'x, -y, -z'], ['x, y, z', 'x, -y+1, -z'], ['x, y, z', 'x, -y, -z'], ['x, y, z', 'x, -y+1, -z'], ['x, y, z', 'x, -y+1, -z'], ['x, y, z', 'x, -y+2, -z'], ['x, y, z', 'x, -y+1, -z'], ['x, y, z', 'x, -y+2, -z']], [['x, y, z', '-x, -y+1/2, z', 'x, -y+1/2, z', '-x, y, z'], ['x, y, z', '-x, -y+3/2, z', 'x, -y+3/2, z', '-x, y, z'], ['x, y, z', '-x+1, -y+3/2, z', 'x, -y+3/2, z', '-x+1, y, z'], ['x, y, z', '-x+1, -y+5/2, z', 'x, -y+5/2, z', '-x+1, y, z']], [['x, y, z', 'x, -y+1/2, z', '-x+1/2, y, -z', '-x+1/2, -y+1/2, -z'], ['x, y, z', 'x, -y+1/2, z', '-x+3/2, y, -z', '-x+3/2, -y+1/2, -z'], ['x, y, z', 'x, -y+3/2, z', '-x+3/2, y, -z', '-x+3/2, -y+3/2, -z'], ['x, y, z', 'x, -y+3/2, z', '-x+5/2, y, -z', '-x+5/2, -y+3/2, -z']], [['x, y, z', 'x, -y, -z', '-x, -y, -z', '-x, y, z'], ['x, y, z', 'x, -y+1, -z', '-x, -y+1, -z', '-x, y, z'], ['x, y, z', 'x, -y+1, -z', '-x+1, -y+1, -z', '-x+1, y, z'], ['x, y, z', 'x, -y+2, -z', '-x+1, -y+2, -z', '-x+1, y, z']], [['x, y, z', 'x, -y, -z', '-x+1/2, -y, z', '-x+1/2, y, -z'], ['x, y, z', 'x, -y, -z', '-x+3/2, -y, z', '-x+3/2, y, -z'], ['x, y, z', 'x, -y+1, -z', '-x+3/2, -y+1, z', '-x+3/2, y, -z'], ['x, y, z', 'x, -y+1, -z', '-x+5/2, -y+1, z', '-x+5/2, y, -z']]]\"\n49,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-x, -y+1, z'], ['x, y, z', '-x+1, -y, z']], [['x, y, z', '-x+1, -y+1, z', '-y+1, x, z', 'y, -x+1, z']], [['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z']]]\"\n50,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-x, -y+1, z'], ['x, y, z', '-x+1, -y, z']], [['x, y, z', '-x+1, -y+1, z'], ['x, y, z', '-x+1, -y+1, z']], [['x, y, z', '-x, -y, z'], ['x, y, z', '-x, -y, z']], [['x, y, z', '-x+1, -y+1, z', 'y, -x+1, -z', '-y+1, x, -z']], [['x, y, z', '-x, -y, z', 'y, -x, -z', '-y, x, -z']]]\"\n51,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z']], [['x, y, z', '-x, -y+1, z'], ['x, y, z', '-x+1, -y, z'], ['x, y, z', '-x, -y+1, z'], ['x, y, z', '-x+1, -y, z']], [['x, y, z', '-x+1, -y+1, z', '-y+1, x, z', 'y, -x+1, z'], ['x, y, z', '-x+1, -y+1, z', '-y+1, x, z', 'y, -x+1, z']], [['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z'], ['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z']], [['x, y, z', '-x, -y+1, z', '-x, -y+1, -z', 'x, y, -z'], ['x, y, z', '-x+1, -y, z', '-x+1, -y, -z', 'x, y, -z']], [['x, y, z', '-x+1, -y+1, z', '-y+1, x, z', 'y, -x+1, z', '-x+1, -y+1, -z', 'x, y, -z', 'y, -x+1, -z', '-y+1, x, -z']], [['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z', '-x, -y, -z', 'x, y, -z', 'y, -x, -z', '-y, x, -z']]]\"\n52,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-x+1/2, -y+3/2, z'], ['x, y, z', '-x+3/2, -y+1/2, z'], ['x, y, z', '-x+3/2, -y+1/2, z'], ['x, y, z', '-x+1/2, -y+3/2, z']], [['x, y, z', '-x, -y, -z'], ['x, y, z', '-x+1, -y+1, -z'], ['x, y, z', '-x+1, -y, -z'], ['x, y, z', '-x, -y, -z']], [['x, y, z', '-x+1/2, -y+1/2, z', '-y+1/2, x, z', 'y, -x+1/2, z'], ['x, y, z', '-x+3/2, -y+3/2, z', '-y+3/2, x, z', 'y, -x+3/2, z']], [['x, y, z', '-x+1/2, -y+3/2, z', 'y-1/2, -x+1, -z', '-y+1, x+1/2, -z'], ['x, y, z', '-x+3/2, -y+1/2, z', 'y+1/2, -x+1, -z', '-y+1, x-1/2, -z']]]\"\n53,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', 'x, -y+1, -z'], ['x, y, z', 'x, -y+1, -z'], ['x, y, z', '-x+1, y, -z'], ['x, y, z', '-x+1, y, -z']], [['x, y, z', 'x, -y, -z'], ['x, y, z', 'x, -y, -z'], ['x, y, z', '-x, y, -z'], ['x, y, z', '-x, y, -z']], [['x, y, z', 'y, x, -z'], ['x, y, z', 'y, x, -z'], ['x, y, z', '-y, -x, -z'], ['x, y, z', '-y, -x, -z']], [['x, y, z', '-x, -y+1, z'], ['x, y, z', '-x+1, -y, z'], ['x, y, z', '-x, -y+1, z'], ['x, y, z', '-x+1, -y, z']], [['x, y, z', '-x+1, -y+1, z', '-y+1, x, z', 'y, -x+1, z'], ['x, y, z', '-x+1, -y+1, z', '-y+1, x, z', 'y, -x+1, z']], [['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z'], ['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z']], [['x, y, z', '-x+1, -y, z', '-x+1, y, -z', 'x, -y, -z'], ['x, y, z', '-x, -y+1, z', '-x, y, -z', 'x, -y+1, -z']], [['x, y, z', '-x+1, -y+1, z', '-y+1, x, z', 'y, -x+1, z', '-x+1, y, -z', 'x, -y+1, -z', 'y, x, -z', '-y+1, -x+1, -z']], [['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z', '-x, y, -z', 'x, -y, -z', 'y, x, -z', '-y, -x, -z']]]\"\n54,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', 'y-1/2, x+1/2, -z'], ['x, y, z', 'y-1/2, x+1/2, -z'], ['x, y, z', '-y+1/2, -x+1/2, -z'], ['x, y, z', '-y+1/2, -x+1/2, -z']], [['x, y, z', '-x, -y+1, z'], ['x, y, z', '-x+1, -y, z'], ['x, y, z', '-x+1, -y, z'], ['x, y, z', '-x, -y+1, z']], [['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z'], ['x, y, z', '-x+1, -y+1, z', '-y+1, x, z', 'y, -x+1, z']], [['x, y, z', '-x, -y+1, z', 'y-1/2, x+1/2, -z', '-y+1/2, -x+1/2, -z'], ['x, y, z', '-x+1, -y, z', 'y+1/2, x-1/2, -z', '-y+1/2, -x+1/2, -z']]]\"\n55,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', 'x, -y+1, z'], ['x, y, z', 'x, -y+1, z'], ['x, y, z', '-x+1, y, z'], ['x, y, z', '-x+1, y, z']], [['x, y, z', 'x, -y, z'], ['x, y, z', 'x, -y, z'], ['x, y, z', '-x, y, z'], ['x, y, z', '-x, y, z']], [['x, y, z', 'y, x, z'], ['x, y, z', 'y, x, z'], ['x, y, z', '-y, -x, z'], ['x, y, z', '-y, -x, z']], [['x, y, z', '-x+1, -y, z', 'x, -y, z', '-x+1, y, z'], ['x, y, z', '-x, -y+1, z', 'x, -y+1, z', '-x, y, z']], [['x, y, z', '-x+1, -y+1, z', '-y+1, x, z', 'y, -x+1, z', 'x, -y+1, z', '-x+1, y, z', '-y+1, -x+1, z', 'y, x, z']], [['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z', 'x, -y, z', '-x, y, z', '-y, -x, z', 'y, x, z']]]\"\n56,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', 'y-1/2, x+1/2, z'], ['x, y, z', 'y-1/2, x+1/2, z'], ['x, y, z', '-y+1/2, -x+1/2, z'], ['x, y, z', '-y+1/2, -x+1/2, z']], [['x, y, z', '-x+1, -y, z', '-y+1/2, -x+1/2, z', 'y+1/2, x-1/2, z'], ['x, y, z', '-x, -y+1, z', '-y+1/2, -x+1/2, z', 'y-1/2, x+1/2, z']], [['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z'], ['x, y, z', '-x+1, -y+1, z', '-y+1, x, z', 'y, -x+1, z']]]\"\n57,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', 'y, x, z'], ['x, y, z', 'y, x, z'], ['x, y, z', '-y, -x, z'], ['x, y, z', '-y, -x, z']], [['x, y, z', '-x, -y+1, z'], ['x, y, z', '-x+1, -y, z'], ['x, y, z', '-x, -y+1, z'], ['x, y, z', '-x+1, -y, z']], [['x, y, z', 'x, -y+1, -z'], ['x, y, z', 'x, -y+1, -z'], ['x, y, z', '-x+1, y, -z'], ['x, y, z', '-x+1, y, -z']], [['x, y, z', 'x, -y, -z'], ['x, y, z', 'x, -y, -z'], ['x, y, z', '-x, y, -z'], ['x, y, z', '-x, y, -z']], [['x, y, z', '-x+1, -y+1, z', '-y+1, -x+1, z', 'y, x, z'], ['x, y, z', '-x+1, -y+1, z', '-y+1, -x+1, z', 'y, x, z']], [['x, y, z', '-x, -y, z', '-y, -x, z', 'y, x, z'], ['x, y, z', '-x, -y, z', '-y, -x, z', 'y, x, z']], [['x, y, z', '-x+1, -y, z', '-x+1, y, -z', 'x, -y, -z'], ['x, y, z', '-x, -y+1, z', '-x, y, -z', 'x, -y+1, -z']], [['x, y, z', '-x+1, -y+1, z', 'y, -x+1, -z', '-y+1, x, -z', '-x+1, y, -z', 'x, -y+1, -z', '-y+1, -x+1, z', 'y, x, z']], [['x, y, z', '-x, -y, z', 'y, -x, -z', '-y, x, -z', '-x, y, -z', 'x, -y, -z', '-y, -x, z', 'y, x, z']]]\"\n58,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', 'y-1/2, x+1/2, z'], ['x, y, z', 'y-1/2, x+1/2, z'], ['x, y, z', '-y+1/2, -x+1/2, z'], ['x, y, z', '-y+1/2, -x+1/2, z']], [['x, y, z', '-x, -y, z'], ['x, y, z', '-x, -y, z'], ['x, y, z', '-x+1, -y+1, z'], ['x, y, z', '-x+1, -y+1, z']], [['x, y, z', '-x, -y+1, z', '-y+1/2, -x+1/2, z', 'y-1/2, x+1/2, z'], ['x, y, z', '-x+1, -y, z', '-y+1/2, -x+1/2, z', 'y+1/2, x-1/2, z']], [['x, y, z', '-x, -y, z', 'y, -x, -z', '-y, x, -z'], ['x, y, z', '-x+1, -y+1, z', 'y, -x+1, -z', '-y+1, x, -z']]]\"\n59,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', 'x, -y+1, z'], ['x, y, z', 'x, -y+1, z'], ['x, y, z', '-x+1, y, z'], ['x, y, z', '-x+1, y, z']], [['x, y, z', 'x, -y, z'], ['x, y, z', 'x, -y, z'], ['x, y, z', '-x, y, z'], ['x, y, z', '-x, y, z']], [['x, y, z', 'y, x, -z'], ['x, y, z', 'y, x, -z'], ['x, y, z', '-y, -x, -z'], ['x, y, z', '-y, -x, -z']], [['x, y, z', '-x, -y+1, z', 'x, -y+1, z', '-x, y, z'], ['x, y, z', '-x+1, -y, z', 'x, -y, z', '-x+1, y, z']], [['x, y, z', '-x+1, -y+1, z', 'x, -y+1, z', '-x+1, y, z'], ['x, y, z', '-x+1, -y+1, z', 'x, -y+1, z', '-x+1, y, z']], [['x, y, z', '-x, -y, z', 'x, -y, z', '-x, y, z'], ['x, y, z', '-x, -y, z', 'x, -y, z', '-x, y, z']], [['x, y, z', '-x+1, -y+1, z', 'y, -x+1, -z', '-y+1, x, -z', 'x, -y+1, z', '-x+1, y, z', 'y, x, -z', '-y+1, -x+1, -z']], [['x, y, z', '-x, -y, z', 'y, -x, -z', '-y, x, -z', 'x, -y, z', '-x, y, z', 'y, x, -z', '-y, -x, -z']]]\"\n60,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', 'y-1/2, x+1/2, -z'], ['x, y, z', 'y-1/2, x+1/2, -z'], ['x, y, z', '-y+1/2, -x+1/2, -z'], ['x, y, z', '-y+1/2, -x+1/2, -z']], [['x, y, z', '-x, -y+1, z'], ['x, y, z', '-x+1, -y, z'], ['x, y, z', '-x+1, -y, z'], ['x, y, z', '-x, -y+1, z']], [['x, y, z', '-x, -y, z'], ['x, y, z', '-x, -y, z'], ['x, y, z', '-x+1, -y, z', 'y+1/2, x-1/2, -z', '-y+1/2, -x+1/2, -z'], ['x, y, z', '-x+1, -y+1, z']], [['x, y, z', '-x, -y+1, z', 'y-1/2, x+1/2, -z', '-y+1/2, -x+1/2, -z'], ['x, y, z', '-x+1, -y, z', 'y+1/2, x-1/2, -z', '-y+1/2, -x+1/2, -z']], [['x, y, z', '-x, -y, z', 'y, -x, -z', '-y, x, -z'], ['x, y, z', '-x+1, -y+1, z', 'y, -x+1, -z', '-y+1, x, -z']]]\"\n61,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', 'x, -y+1, z'], ['x, y, z', 'x, -y+1, z'], ['x, y, z', '-x+1, y, z'], ['x, y, z', '-x+1, y, z'], ['x, y, z', 'x, -y+1, z'], ['x, y, z', 'x, -y+1, z'], ['x, y, z', '-x+1, y, z'], ['x, y, z', '-x+1, y, z']], [['x, y, z', 'x, -y, z'], ['x, y, z', 'x, -y, z'], ['x, y, z', '-x, y, z'], ['x, y, z', '-x, y, z'], ['x, y, z', 'x, -y, z'], ['x, y, z', 'x, -y, z'], ['x, y, z', '-x, y, z'], ['x, y, z', '-x, y, z']], [['x, y, z', 'y, x, z'], ['x, y, z', 'y, x, z'], ['x, y, z', '-y, -x, z'], ['x, y, z', '-y, -x, z'], ['x, y, z', '-y, -x, z'], ['x, y, z', '-y, -x, z'], ['x, y, z', 'y, x, z'], ['x, y, z', 'y, x, z']], [['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z']], [['x, y, z', 'x, -y+1, -z', 'x, y, -z', 'x, -y+1, z'], ['x, y, z', 'x, -y+1, -z', 'x, y, -z', 'x, -y+1, z'], ['x, y, z', '-x+1, y, -z', 'x, y, -z', '-x+1, y, z'], ['x, y, z', '-x+1, y, -z', 'x, y, -z', '-x+1, y, z']], [['x, y, z', 'x, -y, -z', 'x, y, -z', 'x, -y, z'], ['x, y, z', 'x, -y, -z', 'x, y, -z', 'x, -y, z'], ['x, y, z', '-x, y, -z', 'x, y, -z', '-x, y, z'], ['x, y, z', '-x, y, -z', 'x, y, -z', '-x, y, z']], [['x, y, z', 'y, x, -z', 'x, y, -z', 'y, x, z'], ['x, y, z', 'y, x, -z', 'x, y, -z', 'y, x, z'], ['x, y, z', '-y, -x, -z', 'x, y, -z', '-y, -x, z'], ['x, y, z', '-y, -x, -z', 'x, y, -z', '-y, -x, z']], [['x, y, z', '-x, -y+1, z', 'x, -y+1, z', '-x, y, z'], ['x, y, z', '-x+1, -y, z', 'x, -y, z', '-x+1, y, z'], ['x, y, z', '-x, -y+1, z', 'x, -y+1, z', '-x, y, z'], ['x, y, z', '-x+1, -y, z', 'x, -y, z', '-x+1, y, z']], [['x, y, z', '-x+1, -y+1, z', '-y+1, x, z', 'y, -x+1, z', 'x, -y+1, z', '-x+1, y, z', '-y+1, -x+1, z', 'y, x, z'], ['x, y, z', '-x+1, -y+1, z', '-y+1, x, z', 'y, -x+1, z', 'x, -y+1, z', '-x+1, y, z', '-y+1, -x+1, z', 'y, x, z']], [['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z', 'x, -y, z', '-x, y, z', '-y, -x, z', 'y, x, z'], ['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z', 'x, -y, z', '-x, y, z', '-y, -x, z', 'y, x, z']], [['x, y, z', '-x, -y+1, z', '-x, y, -z', 'x, -y+1, -z', '-x, -y+1, -z', 'x, y, -z', 'x, -y+1, z', '-x, y, z'], ['x, y, z', '-x+1, -y, z', '-x+1, y, -z', 'x, -y, -z', '-x+1, -y, -z', 'x, y, -z', 'x, -y, z', '-x+1, y, z']], [['x, y, z', '-x+1, -y+1, z', '-y+1, x, z', 'y, -x+1, z', '-x+1, y, -z', 'x, -y+1, -z', 'y, x, -z', '-y+1, -x+1, -z', '-x+1, -y+1, -z', 'x, y, -z', 'y, -x+1, -z', '-y+1, x, -z', 'x, -y+1, z', '-x+1, y, z', '-y+1, -x+1, z', 'y, x, z']], [['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z', '-x, y, -z', 'x, -y, -z', 'y, x, -z', '-y, -x, -z', '-x, -y, -z', 'x, y, -z', 'y, -x, -z', '-y, x, -z', 'x, -y, z', '-x, y, z', '-y, -x, z', 'y, x, z']]]\"\n62,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-y, -x, z'], ['x, y, z', '-y+1, -x+1, z'], ['x, y, z', 'y+1/2, x-1/2, z'], ['x, y, z', 'y-1/2, x+1/2, z'], ['x, y, z', 'y+1/2, x-1/2, z'], ['x, y, z', 'y-1/2, x+1/2, z'], ['x, y, z', '-y, -x, z'], ['x, y, z', '-y+1, -x+1, z']], [['x, y, z', 'x, -y+1/2, -z'], ['x, y, z', 'x, -y+1/2, -z'], ['x, y, z', '-x+1/2, y, -z'], ['x, y, z', '-x+1/2, y, -z'], ['x, y, z', 'x, -y+3/2, -z'], ['x, y, z', 'x, -y+3/2, -z'], ['x, y, z', '-x+3/2, y, -z'], ['x, y, z', '-x+3/2, y, -z']], [['x, y, z', 'y, x, -z'], ['x, y, z', 'y, x, -z'], ['x, y, z', '-y+1/2, -x+1/2, -z'], ['x, y, z', '-y+1/2, -x+1/2, -z'], ['x, y, z', 'y, x, -z'], ['x, y, z', 'y, x, -z'], ['x, y, z', '-y+1/2, -x+1/2, -z'], ['x, y, z', '-y+1/2, -x+1/2, -z']], [['x, y, z', '-x+3/2, -y+1/2, z', '-y+1, -x+1, z', 'y+1/2, x-1/2, z'], ['x, y, z', '-x+1/2, -y+3/2, z', '-y+1, -x+1, z', 'y-1/2, x+1/2, z'], ['x, y, z', '-x+3/2, -y+1/2, z', '-y+1, -x+1, z', 'y+1/2, x-1/2, z'], ['x, y, z', '-x+1/2, -y+3/2, z', '-y+1, -x+1, z', 'y-1/2, x+1/2, z']], [['x, y, z', '-x+1/2, -y+1/2, z', '-y+1/2, x, z', 'y, -x+1/2, z'], ['x, y, z', '-x+1/2, -y+1/2, z', '-y+1/2, x, z', 'y, -x+1/2, z'], ['x, y, z', '-x+3/2, -y+3/2, z', '-y+3/2, x, z', 'y, -x+3/2, z'], ['x, y, z', '-x+3/2, -y+3/2, z', '-y+3/2, x, z', 'y, -x+3/2, z']], [['x, y, z', 'y, x, -z', '-x, -y, -z', '-y, -x, z'], ['x, y, z', 'y, x, -z', '-x+1, -y+1, -z', '-y+1, -x+1, z'], ['x, y, z', '-y+1/2, -x+1/2, -z', '-x+1, -y, -z', 'y+1/2, x-1/2, z'], ['x, y, z', '-y+1/2, -x+1/2, -z', '-x, -y+1, -z', 'y-1/2, x+1/2, z']], [['x, y, z', '-x+3/2, -y+1/2, z', '-x+3/2, y, -z', 'x, -y+1/2, -z', 'y+1/2, -x+1, -z', '-y+1, x-1/2, -z', '-y+1, -x+1, z', 'y+1/2, x-1/2, z'], ['x, y, z', '-x+1/2, -y+3/2, z', '-x+1/2, y, -z', 'x, -y+3/2, -z', 'y-1/2, -x+1, -z', '-y+1, x+1/2, -z', '-y+1, -x+1, z', 'y-1/2, x+1/2, z']], [['x, y, z', '-x+1/2, -y+1/2, z', '-y+1/2, x, z', 'y, -x+1/2, z', '-x+1/2, y, -z', 'x, -y+1/2, -z', 'y, x, -z', '-y+1/2, -x+1/2, -z'], ['x, y, z', '-x+3/2, -y+3/2, z', '-y+3/2, x, z', 'y, -x+3/2, z', '-x+3/2, y, -z', 'x, -y+3/2, -z', 'y, x, -z', '-y+3/2, -x+3/2, -z']]]\"\n63,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', 'y-1/2, x+1/2, z'], ['x, y, z', 'y-1/2, x+1/2, z'], ['x, y, z', '-y+1/2, -x+1/2, z'], ['x, y, z', '-y+1/2, -x+1/2, z'], ['x, y, z', '-y+1/2, -x+1/2, z'], ['x, y, z', '-y+1/2, -x+1/2, z'], ['x, y, z', 'y-1/2, x+1/2, z'], ['x, y, z', 'y-1/2, x+1/2, z']], [['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z']], [['x, y, z', 'y-1/2, x+1/2, -z', 'x, y, -z', 'y-1/2, x+1/2, z'], ['x, y, z', 'y-1/2, x+1/2, -z', 'x, y, -z', 'y-1/2, x+1/2, z'], ['x, y, z', '-y+1/2, -x+1/2, -z', 'x, y, -z', '-y+1/2, -x+1/2, z'], ['x, y, z', '-y+1/2, -x+1/2, -z', 'x, y, -z', '-y+1/2, -x+1/2, z']], [['x, y, z', '-x, -y+1, z', '-y+1/2, -x+1/2, z', 'y-1/2, x+1/2, z'], ['x, y, z', '-x+1, -y, z', '-y+1/2, -x+1/2, z', 'y+1/2, x-1/2, z'], ['x, y, z', '-x+1, -y, z', '-y+1/2, -x+1/2, z', 'y+1/2, x-1/2, z'], ['x, y, z', '-x, -y+1, z', '-y+1/2, -x+1/2, z', 'y-1/2, x+1/2, z']], [['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z'], ['x, y, z', '-x+1, -y+1, z', '-y+1, x, z', 'y, -x+1, z'], ['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z'], ['x, y, z', '-x+1, -y+1, z', '-y+1, x, z', 'y, -x+1, z']], [['x, y, z', '-x, -y+1, z', 'y-1/2, x+1/2, -z', '-y+1/2, -x+1/2, -z', '-x, -y+1, -z', 'x, y, -z', '-y+1/2, -x+1/2, z', 'y-1/2, x+1/2, z'], ['x, y, z', '-x+1, -y, z', 'y+1/2, x-1/2, -z', '-y+1/2, -x+1/2, -z', '-x+1, -y, -z', 'x, y, -z', '-y+1/2, -x+1/2, z', 'y+1/2, x-1/2, z']], [['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z', '-x, -y, -z', 'x, y, -z', 'y, -x, -z', '-y, x, -z'], ['x, y, z', '-x+1, -y+1, z', '-y+1, x, z', 'y, -x+1, z', '-x+1, -y+1, -z', 'x, y, -z', 'y, -x+1, -z', '-y+1, x, -z']]]\"\n64,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', 'y, x, z'], ['x, y, z', 'y, x, z'], ['x, y, z', '-y+1/2, -x+1/2, z'], ['x, y, z', '-y+1/2, -x+1/2, z'], ['x, y, z', '-y+1/2, -x+1/2, z'], ['x, y, z', '-y+1/2, -x+1/2, z'], ['x, y, z', 'y, x, z'], ['x, y, z', 'y, x, z']], [['x, y, z', '-x+1/2, y, z'], ['x, y, z', '-x+1/2, y, z'], ['x, y, z', 'x, -y+1/2, z'], ['x, y, z', 'x, -y+1/2, z'], ['x, y, z', '-x+3/2, y, z'], ['x, y, z', '-x+3/2, y, z'], ['x, y, z', 'x, -y+3/2, z'], ['x, y, z', 'x, -y+3/2, z']], [['x, y, z', '-y, -x, -z'], ['x, y, z', '-y+1, -x+1, -z'], ['x, y, z', 'y+1/2, x-1/2, -z'], ['x, y, z', 'y-1/2, x+1/2, -z'], ['x, y, z', '-y, -x, -z'], ['x, y, z', '-y+1, -x+1, -z'], ['x, y, z', 'y+1/2, x-1/2, -z'], ['x, y, z', 'y-1/2, x+1/2, -z']], [['x, y, z', '-x+3/2, -y+1/2, z', 'x, -y+1/2, z', '-x+3/2, y, z'], ['x, y, z', '-x+1/2, -y+3/2, z', 'x, -y+3/2, z', '-x+1/2, y, z'], ['x, y, z', '-x+1/2, -y+3/2, z', 'x, -y+3/2, z', '-x+1/2, y, z'], ['x, y, z', '-x+3/2, -y+1/2, z', 'x, -y+1/2, z', '-x+3/2, y, z']], [['x, y, z', '-y, -x, -z', '-x, -y, -z', 'y, x, z'], ['x, y, z', '-y+1, -x+1, -z', '-x+1, -y+1, -z', 'y, x, z'], ['x, y, z', 'y+1/2, x-1/2, -z', '-x+1, -y, -z', '-y+1/2, -x+1/2, z'], ['x, y, z', 'y-1/2, x+1/2, -z', '-x, -y+1, -z', '-y+1/2, -x+1/2, z']], [['x, y, z', '-x+1/2, -y+1/2, z', '-y+1/2, x, z', 'y, -x+1/2, z', 'x, -y+1/2, z', '-x+1/2, y, z', '-y+1/2, -x+1/2, z', 'y, x, z'], ['x, y, z', '-x+3/2, -y+3/2, z', '-y+3/2, x, z', 'y, -x+3/2, z', 'x, -y+3/2, z', '-x+3/2, y, z', '-y+3/2, -x+3/2, z', 'y, x, z']], [['x, y, z', '-x+3/2, -y+1/2, z', 'y+1/2, x-1/2, -z', '-y+1, -x+1, -z', 'y+1/2, -x+1, -z', '-y+1, x-1/2, -z', 'x, -y+1/2, z', '-x+3/2, y, z'], ['x, y, z', '-x+1/2, -y+3/2, z', 'y-1/2, x+1/2, -z', '-y+1, -x+1, -z', 'y-1/2, -x+1, -z', '-y+1, x+1/2, -z', 'x, -y+3/2, z', '-x+1/2, y, z']]]\"\n65,\"[[['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-y+1, x-y, z', '-x+y+1, -x+1, z']], [['x, y, z', '-y+1, x-y+1, z', '-x+y, -x+1, z']], [['x, y, z', '-y, x-y, z', '-x+y, -x, z']]]\"\n66,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-x+1, -y, -z'], ['x, y, z', '-x, -y+1, -z'], ['x, y, z', '-x+1, -y+1, -z']], [['x, y, z', '-y+1, x-y+1, z', '-x+y, -x+1, z'], ['x, y, z', '-y+1, x-y, z', '-x+y+1, -x+1, z']], [['x, y, z', '-y, x-y, z', '-x+y, -x, z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z']], [['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, -z', 'y, -x+y, -z', 'x-y, x, -z']]]\"\n67,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-y, -x, -z'], ['x, y, z', '-x+y, y, -z'], ['x, y, z', 'x, x-y, -z']], [['x, y, z', '-y+1, x-y, z', '-x+y+1, -x+1, z'], ['x, y, z', '-y+1, x-y, z', '-x+y+1, -x+1, z']], [['x, y, z', '-y+1, x-y+1, z', '-x+y, -x+1, z'], ['x, y, z', '-y+1, x-y+1, z', '-x+y, -x+1, z']], [['x, y, z', '-y, x-y, z', '-x+y, -x, z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z']], [['x, y, z', '-y+1, x-y, z', '-x+y+1, -x+1, z', '-y+1, -x+1, -z', '-x+y+1, y, -z', 'x, x-y, -z']], [['x, y, z', '-y+1, x-y+1, z', '-x+y, -x+1, z', '-y+1, -x+1, -z', '-x+y, y, -z', 'x, x-y+1, -z']], [['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-y, -x, -z', '-x+y, y, -z', 'x, x-y, -z']]]\"\n68,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', 'x-y, -y, -z'], ['x, y, z', '-x, -x+y, -z'], ['x, y, z', 'y, x, -z']], [['x, y, z', '-y+1, x-y+1, z', '-x+y, -x+1, z'], ['x, y, z', '-y+1, x-y, z', '-x+y+1, -x+1, z']], [['x, y, z', '-y, x-y, z', '-x+y, -x, z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z']], [['x, y, z', '-y, x-y, z', '-x+y, -x, z', 'y, x, -z', 'x-y, -y, -z', '-x, -x+y, -z']]]\"\n69,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-y, -x, z'], ['x, y, z', '-x+y, y, z'], ['x, y, z', 'x, x-y, z']], [['x, y, z', '-y+1, x-y, z', '-x+y+1, -x+1, z', '-y+1, -x+1, z', '-x+y+1, y, z', 'x, x-y, z']], [['x, y, z', '-y+1, x-y+1, z', '-x+y, -x+1, z', '-y+1, -x+1, z', '-x+y, y, z', 'x, x-y+1, z']], [['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-y, -x, z', '-x+y, y, z', 'x, x-y, z']]]\"\n70,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', 'x-y, -y, z'], ['x, y, z', '-x, -x+y, z'], ['x, y, z', 'y, x, z']], [['x, y, z', '-y+1, x-y+1, z', '-x+y, -x+1, z'], ['x, y, z', '-y+1, x-y, z', '-x+y+1, -x+1, z']], [['x, y, z', '-y, x-y, z', '-x+y, -x, z', 'y, x, z', 'x-y, -y, z', '-x, -x+y, z']]]\"\n71,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', 'x-y, -y, z'], ['x, y, z', '-x, -x+y, z'], ['x, y, z', 'y, x, z'], ['x, y, z', '-x, -x+y, z'], ['x, y, z', 'x-y, -y, z'], ['x, y, z', 'y, x, z']], [['x, y, z', '-y, -x, -z'], ['x, y, z', '-x+y, y, -z'], ['x, y, z', 'x, x-y, -z'], ['x, y, z', '-y, -x, -z'], ['x, y, z', '-x+y, y, -z'], ['x, y, z', 'x, x-y, -z']], [['x, y, z', '-y+1, x-y+1, z', '-x+y, -x+1, z'], ['x, y, z', '-y+1, x-y+1, z', '-x+y, -x+1, z'], ['x, y, z', '-y+1, x-y, z', '-x+y+1, -x+1, z'], ['x, y, z', '-y+1, x-y, z', '-x+y+1, -x+1, z']], [['x, y, z', '-x+y+1, y, -z', '-x+1, -y, -z', 'x-y, -y, z'], ['x, y, z', 'x, x-y+1, -z', '-x, -y+1, -z', '-x, -x+y, z'], ['x, y, z', '-y+1, -x+1, -z', '-x+1, -y+1, -z', 'y, x, z']], [['x, y, z', '-y, x-y, z', '-x+y, -x, z', 'y, x, z', 'x-y, -y, z', '-x, -x+y, z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', 'y, x, z', 'x-y, -y, z', '-x, -x+y, z']], [['x, y, z', '-y+1, x-y+1, z', '-x+y, -x+1, z', '-y+1, -x+1, -z', '-x+y, y, -z', 'x, x-y+1, -z'], ['x, y, z', '-y+1, x-y, z', '-x+y+1, -x+1, z', '-y+1, -x+1, -z', '-x+y+1, y, -z', 'x, x-y, -z']], [['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-y, -x, -z', '-x+y, y, -z', 'x, x-y, -z', '-x, -y, -z', 'y, -x+y, -z', 'x-y, x, -z', 'y, x, z', 'x-y, -y, z', '-x, -x+y, z']]]\"\n72,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-y, -x, z'], ['x, y, z', '-x+y, y, z'], ['x, y, z', 'x, x-y, z'], ['x, y, z', '-y, -x, z'], ['x, y, z', 'x, x-y, z'], ['x, y, z', '-x+y, y, z']], [['x, y, z', 'x-y, -y, -z'], ['x, y, z', '-x, -x+y, -z'], ['x, y, z', 'y, x, -z'], ['x, y, z', 'x-y, -y, -z'], ['x, y, z', '-x, -x+y, -z'], ['x, y, z', 'y, x, -z']], [['x, y, z', 'x-y, -y, -z', '-x+1, -y, -z', '-x+y+1, y, z'], ['x, y, z', '-x, -x+y, -z', '-x, -y+1, -z', 'x, x-y+1, z'], ['x, y, z', 'y, x, -z', '-x+1, -y+1, -z', '-y+1, -x+1, z']], [['x, y, z', '-y+1, x-y+1, z', '-x+y, -x+1, z', '-y+1, -x+1, z', '-x+y, y, z', 'x, x-y+1, z'], ['x, y, z', '-y+1, x-y, z', '-x+y+1, -x+1, z', '-y+1, -x+1, z', '-x+y+1, y, z', 'x, x-y, z']], [['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-y, -x, z', '-x+y, y, z', 'x, x-y, z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-y, -x, z', '-x+y, y, z', 'x, x-y, z']], [['x, y, z', '-y, x-y, z', '-x+y, -x, z', 'y, x, -z', 'x-y, -y, -z', '-x, -x+y, -z', '-x, -y, -z', 'y, -x+y, -z', 'x-y, x, -z', '-y, -x, z', '-x+y, y, z', 'x, x-y, z']]]\"\n73,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-x+1, -y, z'], ['x, y, z', '-x, -y+1, z'], ['x, y, z', '-x+1, -y+1, z']], [['x, y, z', '-y+1, x-y+1, z', '-x+y, -x+1, z'], ['x, y, z', '-y+1, x-y, z', '-x+y+1, -x+1, z']], [['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, z', 'y, -x+y, z', 'x-y, x, z']]]\"\n74,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z']], [['x, y, z', '-y+1, x-y, z', '-x+y+1, -x+1, z'], ['x, y, z', '-y+1, x-y, z', '-x+y+1, -x+1, z']], [['x, y, z', '-y+1, x-y+1, z', '-x+y, -x+1, z'], ['x, y, z', '-y+1, x-y+1, z', '-x+y, -x+1, z']], [['x, y, z', '-y, x-y, z', '-x+y, -x, z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z']], [['x, y, z', '-y+1, x-y, z', '-x+y+1, -x+1, z', 'x, y, -z', '-y+1, x-y, -z', '-x+y+1, -x+1, -z']], [['x, y, z', '-y+1, x-y+1, z', '-x+y, -x+1, z', 'x, y, -z', '-y+1, x-y+1, -z', '-x+y, -x+1, -z']], [['x, y, z', '-y, x-y, z', '-x+y, -x, z', 'x, y, -z', '-y, x-y, -z', '-x+y, -x, -z']]]\"\n75,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z']], [['x, y, z', '-x+1, -y, z'], ['x, y, z', '-x, -y+1, z'], ['x, y, z', '-x+1, -y+1, z'], ['x, y, z', '-x+1, -y, z'], ['x, y, z', '-x, -y+1, z'], ['x, y, z', '-x+1, -y+1, z']], [['x, y, z', '-y+1, x-y+1, z', '-x+y, -x+1, z'], ['x, y, z', '-y+1, x-y, z', '-x+y+1, -x+1, z'], ['x, y, z', '-y+1, x-y+1, z', '-x+y, -x+1, z'], ['x, y, z', '-y+1, x-y, z', '-x+y+1, -x+1, z']], [['x, y, z', '-x+1, -y, z', '-x+1, -y, -z', 'x, y, -z'], ['x, y, z', '-x, -y+1, z', '-x, -y+1, -z', 'x, y, -z'], ['x, y, z', '-x+1, -y+1, z', '-x+1, -y+1, -z', 'x, y, -z']], [['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, z', 'y, -x+y, z', 'x-y, x, z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, z', 'y, -x+y, z', 'x-y, x, z']], [['x, y, z', '-y+1, x-y+1, z', '-x+y, -x+1, z', 'x, y, -z', '-y+1, x-y+1, -z', '-x+y, -x+1, -z'], ['x, y, z', '-y+1, x-y, z', '-x+y+1, -x+1, z', 'x, y, -z', '-y+1, x-y, -z', '-x+y+1, -x+1, -z']], [['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, z', 'y, -x+y, z', 'x-y, x, z', '-x, -y, -z', 'y, -x+y, -z', 'x-y, x, -z', 'x, y, -z', '-y, x-y, -z', '-x+y, -x, -z']]]\"\n76,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-y, -x, -z'], ['x, y, z', '-x+y, y, -z'], ['x, y, z', 'x, x-y, -z'], ['x, y, z', '-y, -x, -z'], ['x, y, z', '-x+y, y, -z'], ['x, y, z', 'x, x-y, -z']], [['x, y, z', 'x-y, -y, -z'], ['x, y, z', '-x, -x+y, -z'], ['x, y, z', 'y, x, -z'], ['x, y, z', 'x-y, -y, -z'], ['x, y, z', '-x, -x+y, -z'], ['x, y, z', 'y, x, -z']], [['x, y, z', '-x+1, -y, z'], ['x, y, z', '-x, -y+1, z'], ['x, y, z', '-x+1, -y+1, z'], ['x, y, z', '-x, -y+1, z'], ['x, y, z', '-x+1, -y, z'], ['x, y, z', '-x+1, -y+1, z']], [['x, y, z', '-y+1, x-y+1, z', '-x+y, -x+1, z'], ['x, y, z', '-y+1, x-y, z', '-x+y+1, -x+1, z'], ['x, y, z', '-y+1, x-y, z', '-x+y+1, -x+1, z'], ['x, y, z', '-y+1, x-y+1, z', '-x+y, -x+1, z']], [['x, y, z', '-x+1, -y, z', 'x-y, -y, -z', '-x+y+1, y, -z'], ['x, y, z', '-x, -y+1, z', '-x, -x+y, -z', 'x, x-y+1, -z'], ['x, y, z', '-x+1, -y+1, z', 'y, x, -z', '-y+1, -x+1, -z']], [['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, z', 'y, -x+y, z', 'x-y, x, z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, z', 'y, -x+y, z', 'x-y, x, z']], [['x, y, z', '-y+1, x-y+1, z', '-x+y, -x+1, z', '-y+1, -x+1, -z', '-x+y, y, -z', 'x, x-y+1, -z'], ['x, y, z', '-y+1, x-y, z', '-x+y+1, -x+1, z', '-y+1, -x+1, -z', '-x+y+1, y, -z', 'x, x-y, -z']], [['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, z', 'y, -x+y, z', 'x-y, x, z', 'y, x, -z', 'x-y, -y, -z', '-x, -x+y, -z', '-y, -x, -z', '-x+y, y, -z', 'x, x-y, -z']]]\"\n77,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-y, -x, z'], ['x, y, z', '-x+y, y, z'], ['x, y, z', 'x, x-y, z'], ['x, y, z', '-y, -x, z'], ['x, y, z', '-x+y, y, z'], ['x, y, z', 'x, x-y, z']], [['x, y, z', 'x-y, -y, z'], ['x, y, z', '-x, -x+y, z'], ['x, y, z', 'y, x, z'], ['x, y, z', 'x-y, -y, z'], ['x, y, z', '-x, -x+y, z'], ['x, y, z', 'y, x, z']], [['x, y, z', '-x+1, -y, z', '-x+y+1, y, z', 'x-y, -y, z'], ['x, y, z', '-x, -y+1, z', 'x, x-y+1, z', '-x, -x+y, z'], ['x, y, z', '-x+1, -y+1, z', '-y+1, -x+1, z', 'y, x, z']], [['x, y, z', '-y+1, x-y+1, z', '-x+y, -x+1, z', '-y+1, -x+1, z', '-x+y, y, z', 'x, x-y+1, z'], ['x, y, z', '-y+1, x-y, z', '-x+y+1, -x+1, z', '-y+1, -x+1, z', '-x+y+1, y, z', 'x, x-y, z']], [['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, z', 'y, -x+y, z', 'x-y, x, z', '-y, -x, z', '-x+y, y, z', 'x, x-y, z', 'y, x, z', 'x-y, -y, z', '-x, -x+y, z']]]\"\n78,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-y, -x, z'], ['x, y, z', '-x+y, y, z'], ['x, y, z', 'x, x-y, z'], ['x, y, z', '-y, -x, z'], ['x, y, z', '-x+y, y, z'], ['x, y, z', 'x, x-y, z']], [['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z']], [['x, y, z', 'x, y, -z', '-y, -x, z', '-y, -x, -z'], ['x, y, z', 'x, y, -z', '-x+y, y, z', '-x+y, y, -z'], ['x, y, z', 'x, y, -z', 'x, x-y, z', 'x, x-y, -z']], [['x, y, z', '-y+1, x-y, z', '-x+y+1, -x+1, z', '-y+1, -x+1, z', '-x+y+1, y, z', 'x, x-y, z'], ['x, y, z', '-y+1, x-y, z', '-x+y+1, -x+1, z', '-y+1, -x+1, z', '-x+y+1, y, z', 'x, x-y, z']], [['x, y, z', '-y+1, x-y+1, z', '-x+y, -x+1, z', '-y+1, -x+1, z', '-x+y, y, z', 'x, x-y+1, z'], ['x, y, z', '-y+1, x-y+1, z', '-x+y, -x+1, z', '-y+1, -x+1, z', '-x+y, y, z', 'x, x-y+1, z']], [['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-y, -x, z', '-x+y, y, z', 'x, x-y, z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-y, -x, z', '-x+y, y, z', 'x, x-y, z']], [['x, y, z', '-y+1, x-y, z', '-x+y+1, -x+1, z', 'x, y, -z', '-y+1, x-y, -z', '-x+y+1, -x+1, -z', '-y+1, -x+1, z', '-x+y+1, y, z', 'x, x-y, z', '-y+1, -x+1, -z', '-x+y+1, y, -z', 'x, x-y, -z']], [['x, y, z', '-y+1, x-y+1, z', '-x+y, -x+1, z', 'x, y, -z', '-y+1, x-y+1, -z', '-x+y, -x+1, -z', '-y+1, -x+1, z', '-x+y, y, z', 'x, x-y+1, z', '-y+1, -x+1, -z', '-x+y, y, -z', 'x, x-y+1, -z']], [['x, y, z', '-y, x-y, z', '-x+y, -x, z', 'x, y, -z', '-y, x-y, -z', '-x+y, -x, -z', '-y, -x, z', '-x+y, y, z', 'x, x-y, z', '-y, -x, -z', '-x+y, y, -z', 'x, x-y, -z']]]\"\n79,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z']], [['x, y, z', 'x-y, -y, z'], ['x, y, z', '-x, -x+y, z'], ['x, y, z', 'y, x, z'], ['x, y, z', 'x-y, -y, z'], ['x, y, z', '-x, -x+y, z'], ['x, y, z', 'y, x, z']], [['x, y, z', '-y+1, x-y+1, z', '-x+y, -x+1, z'], ['x, y, z', '-y+1, x-y+1, z', '-x+y, -x+1, z'], ['x, y, z', '-y+1, x-y, z', '-x+y+1, -x+1, z'], ['x, y, z', '-y+1, x-y, z', '-x+y+1, -x+1, z']], [['x, y, z', 'x, y, -z', 'x-y, -y, -z', 'x-y, -y, z'], ['x, y, z', 'x, y, -z', '-x, -x+y, -z', '-x, -x+y, z'], ['x, y, z', 'x, y, -z', 'y, x, -z', 'y, x, z']], [['x, y, z', '-y, x-y, z', '-x+y, -x, z', 'y, x, z', 'x-y, -y, z', '-x, -x+y, z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', 'y, x, z', 'x-y, -y, z', '-x, -x+y, z']], [['x, y, z', '-y+1, x-y+1, z', '-x+y, -x+1, z', 'x, y, -z', '-y+1, x-y+1, -z', '-x+y, -x+1, -z'], ['x, y, z', '-y+1, x-y, z', '-x+y+1, -x+1, z', 'x, y, -z', '-y+1, x-y, -z', '-x+y+1, -x+1, -z']], [['x, y, z', '-y, x-y, z', '-x+y, -x, z', 'x, y, -z', '-y, x-y, -z', '-x+y, -x, -z', 'y, x, -z', 'x-y, -y, -z', '-x, -x+y, -z', 'y, x, z', 'x-y, -y, z', '-x, -x+y, z']]]\"\n80,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z']], [['x, y, z', '-x+y, y, z'], ['x, y, z', 'x, x-y, z'], ['x, y, z', '-y, -x, z'], ['x, y, z', '-x+y, y, z'], ['x, y, z', 'x, x-y, z'], ['x, y, z', '-y, -x, z'], ['x, y, z', 'x, x-y, z'], ['x, y, z', '-x+y, y, z'], ['x, y, z', '-y, -x, z'], ['x, y, z', 'x, x-y, z'], ['x, y, z', '-x+y, y, z'], ['x, y, z', '-y, -x, z']], [['x, y, z', 'x-y, -y, z'], ['x, y, z', '-x, -x+y, z'], ['x, y, z', 'y, x, z'], ['x, y, z', 'x-y, -y, z'], ['x, y, z', '-x, -x+y, z'], ['x, y, z', 'y, x, z'], ['x, y, z', '-x, -x+y, z'], ['x, y, z', 'x-y, -y, z'], ['x, y, z', 'y, x, z'], ['x, y, z', '-x, -x+y, z'], ['x, y, z', 'x-y, -y, z'], ['x, y, z', 'y, x, z']], [['x, y, z', '-x+y, y, -z', 'x, y, -z', '-x+y, y, z'], ['x, y, z', 'x, x-y, -z', 'x, y, -z', 'x, x-y, z'], ['x, y, z', '-y, -x, -z', 'x, y, -z', '-y, -x, z'], ['x, y, z', '-x+y, y, -z', 'x, y, -z', '-x+y, y, z'], ['x, y, z', 'x, x-y, -z', 'x, y, -z', 'x, x-y, z'], ['x, y, z', '-y, -x, -z', 'x, y, -z', '-y, -x, z']], [['x, y, z', 'x-y, -y, -z', 'x, y, -z', 'x-y, -y, z'], ['x, y, z', '-x, -x+y, -z', 'x, y, -z', '-x, -x+y, z'], ['x, y, z', 'y, x, -z', 'x, y, -z', 'y, x, z'], ['x, y, z', 'x-y, -y, -z', 'x, y, -z', 'x-y, -y, z'], ['x, y, z', '-x, -x+y, -z', 'x, y, -z', '-x, 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  },
  {
    "path": "pyxtal/database/packing-analysis/ACETYL02.cif",
    "content": "\n#######################################################################\n#\n#                 Cambridge Crystallographic Data Centre\n#                                CCDC \n#\n#######################################################################\n#\n# If this CIF has been generated from an entry in the Cambridge \n# Structural Database, then it will include bibliographic, chemical, \n# crystal, experimental, refinement or atomic coordinate data resulting \n# from the CCDC's data processing and validation procedures.\n#\n#######################################################################\n\ndata_ACETYL02\n_symmetry_cell_setting           cubic\n_symmetry_space_group_name_H-M   'P a 3'\n_symmetry_Int_Tables_number      205\n_space_group_name_Hall           '-P 2ac 2ab 3'\nloop_\n_symmetry_equiv_pos_site_id\n_symmetry_equiv_pos_as_xyz\n1 x,y,z\n2 z,x,y\n3 y,z,x\n4 1/2+x,y,1/2-z\n5 1/2+z,x,1/2-y\n6 1/2+y,z,1/2-x\n7 1/2-x,1/2+y,z\n8 1/2-z,1/2+x,y\n9 1/2-y,1/2+z,x\n10 -x,1/2+y,1/2-z\n11 -z,1/2+x,1/2-y\n12 -y,1/2+z,1/2-x\n13 -x,-y,-z\n14 -z,-x,-y\n15 -y,-z,-x\n16 1/2-x,-y,1/2+z\n17 1/2-z,-x,1/2+y\n18 1/2-y,-z,1/2+x\n19 1/2+x,1/2-y,-z\n20 1/2+z,1/2-x,-y\n21 1/2+y,1/2-z,-x\n22 x,1/2-y,1/2+z\n23 z,1/2-x,1/2+y\n24 y,1/2-z,1/2+x\n_cell_length_a                   6.0940(8)\n_cell_length_b                   6.0940(8)\n_cell_length_c                   6.0940(8)\n_cell_angle_alpha                90\n_cell_angle_beta                 90\n_cell_angle_gamma                90\n_cell_volume                     226.312\nloop_\n_atom_site_label\n_atom_site_type_symbol\n_atom_site_fract_x\n_atom_site_fract_y\n_atom_site_fract_z\nC1 C 0.0562(2) 0.0562(2) 0.0562(2)\nH1 H 0.1524(6) 0.1524(6) 0.1524(6)\n\n#END\n"
  },
  {
    "path": "pyxtal/database/packing-analysis/ADAMAN08.cif",
    "content": "\n#######################################################################\n#\n#                 Cambridge Crystallographic Data Centre\n#                                CCDC \n#\n#######################################################################\n#\n# If this CIF has been generated from an entry in the Cambridge \n# Structural Database, then it will include bibliographic, chemical, \n# crystal, experimental, refinement or atomic coordinate data resulting \n# from the CCDC's data processing and validation procedures.\n#\n#######################################################################\n\ndata_ADAMAN08\n_symmetry_cell_setting           tetragonal\n_symmetry_space_group_name_H-M   'P -4 21 c'\n_symmetry_Int_Tables_number      114\n_space_group_name_Hall           'P -4 2n'\nloop_\n_symmetry_equiv_pos_site_id\n_symmetry_equiv_pos_as_xyz\n1 x,y,z\n2 -y,x,-z\n3 -x,-y,z\n4 y,-x,-z\n5 1/2-x,1/2+y,1/2-z\n6 1/2+y,1/2+x,1/2+z\n7 1/2+x,1/2-y,1/2-z\n8 1/2-y,1/2-x,1/2+z\n_cell_length_a                   6.639(7)\n_cell_length_b                   6.639(7)\n_cell_length_c                   8.918(9)\n_cell_angle_alpha                90\n_cell_angle_beta                 90\n_cell_angle_gamma                90\n_cell_volume                     393.073\nloop_\n_atom_site_label\n_atom_site_type_symbol\n_atom_site_fract_x\n_atom_site_fract_y\n_atom_site_fract_z\nC1 C 0.0000 0.0000 0.1980(3)\nC2 C -0.0262(4) 0.1862(4) 0.0992(3)\nC3 C 0.1600(4) 0.2122(4) 0.0000\nH1 H 0.1156(40) 0.0099(73) 0.2688(27)\nH2 H -0.0355(50) 0.3016(46) 0.1590(32)\nH3 H 0.2817(53) 0.2303(48) 0.0626(33)\nH4 H 0.1427(48) 0.3286(47) -0.0570(33)\n#END\n"
  },
  {
    "path": "pyxtal/database/packing-analysis/CONGRS.cif",
    "content": "\n#######################################################################\n#\n#                 Cambridge Crystallographic Data Centre\n#                                CCDC \n#\n#######################################################################\n#\n# If this CIF has been generated from an entry in the Cambridge \n# Structural Database, then it will include bibliographic, chemical, \n# crystal, experimental, refinement or atomic coordinate data resulting \n# from the CCDC's data processing and validation procedures.\n#\n#######################################################################\n\ndata_CONGRS\n_symmetry_cell_setting           cubic\n_symmetry_space_group_name_H-M   'P a 3'\n_symmetry_Int_Tables_number      205\n_space_group_name_Hall           '-P 2ac 2ab 3'\nloop_\n_symmetry_equiv_pos_site_id\n_symmetry_equiv_pos_as_xyz\n1 x,y,z\n2 z,x,y\n3 y,z,x\n4 -x,1/2+y,1/2-z\n5 -z,1/2+x,1/2-y\n6 -y,1/2+z,1/2-x\n7 1/2-x,-y,1/2+z\n8 1/2-z,-x,1/2+y\n9 1/2-y,-z,1/2+x\n10 1/2+x,1/2-y,-z\n11 1/2+z,1/2-x,-y\n12 1/2+y,1/2-z,-x\n13 -x,-y,-z\n14 -z,-x,-y\n15 -y,-z,-x\n16 x,1/2-y,1/2+z\n17 z,1/2-x,1/2+y\n18 y,1/2-z,1/2+x\n19 1/2+x,y,1/2-z\n20 1/2+z,x,1/2-y\n21 1/2+y,z,1/2-x\n22 1/2-x,1/2+y,z\n23 1/2-z,1/2+x,y\n24 1/2-y,1/2+z,x\n_cell_length_a                   10.109\n_cell_length_b                   10.109\n_cell_length_c                   10.109\n_cell_angle_alpha                90\n_cell_angle_beta                 90\n_cell_angle_gamma                90\n_cell_volume                     1033.06\nloop_\n_atom_site_label\n_atom_site_type_symbol\n_atom_site_fract_x\n_atom_site_fract_y\n_atom_site_fract_z\nC1 C 0.13330 0.13330 0.13330\nC2 C 0.21930 0.04560 0.04340\nC3 C 0.13120 -0.04210 -0.04380\nH1 H 0.19070 0.19070 0.19070\nH2 H 0.25870 0.09730 -0.03200\nH3 H 0.25230 -0.01200 0.09110\nH4 H 0.18240 -0.10850 -0.09200\n#END\n"
  },
  {
    "path": "pyxtal/database/packing-analysis/DNNAPH.cif",
    "content": "\n#######################################################################\n#\n#                 Cambridge Crystallographic Data Centre\n#                                CCDC \n#\n#######################################################################\n#\n# If this CIF has been generated from an entry in the Cambridge \n# Structural Database, then it will include bibliographic, chemical, \n# crystal, experimental, refinement or atomic coordinate data resulting \n# from the CCDC's data processing and validation procedures.\n#\n#######################################################################\n\ndata_DNNAPH\n_symmetry_cell_setting           monoclinic\n_symmetry_space_group_name_H-M   'P 21/a'\n_symmetry_Int_Tables_number      14\n_space_group_name_Hall           '-P 2yab'\nloop_\n_symmetry_equiv_pos_site_id\n_symmetry_equiv_pos_as_xyz\n1 x,y,z\n2 1/2-x,1/2+y,-z\n3 -x,-y,-z\n4 1/2+x,1/2-y,z\n_cell_length_a                   7.760\n_cell_length_b                   16.320\n_cell_length_c                   3.700\n_cell_angle_alpha                90\n_cell_angle_beta                 101.80\n_cell_angle_gamma                90\n_cell_volume                     458.678\nloop_\n_atom_site_label\n_atom_site_type_symbol\n_atom_site_fract_x\n_atom_site_fract_y\n_atom_site_fract_z\nC1 C 0.08700 0.01600 0.07800\nC2 C 0.11700 0.09900 -0.01700\nC3 C -0.00900 0.15200 -0.20900\nC4 C -0.18200 0.12100 -0.31900\nC5 C 0.21300 -0.04100 0.25600\nN1 N 0.29500 0.13600 0.09200\nO1 O 0.41800 0.09700 0.02800\nO2 O 0.30700 0.20000 0.27100\n\n#END\n"
  },
  {
    "path": "pyxtal/database/packing-analysis/HCCYHB.cif",
    "content": "\n#######################################################################\n#\n#                 Cambridge Crystallographic Data Centre\n#                                CCDC \n#\n#######################################################################\n#\n# If this CIF has been generated from an entry in the Cambridge \n# Structural Database, then it will include bibliographic, chemical, \n# crystal, experimental, refinement or atomic coordinate data resulting \n# from the CCDC's data processing and validation procedures.\n#\n#######################################################################\n\ndata_HCCYHB\n_symmetry_cell_setting           cubic\n_symmetry_space_group_name_H-M   'P a 3'\n_symmetry_Int_Tables_number      205\n_space_group_name_Hall           '-P 2ac 2ab 3'\nloop_\n_symmetry_equiv_pos_site_id\n_symmetry_equiv_pos_as_xyz\n1 x,y,z\n2 z,x,y\n3 y,z,x\n4 -x,1/2+y,1/2-z\n5 -z,1/2+x,1/2-y\n6 -y,1/2+z,1/2-x\n7 1/2-x,-y,1/2+z\n8 1/2-z,-x,1/2+y\n9 1/2-y,-z,1/2+x\n10 1/2+x,1/2-y,-z\n11 1/2+z,1/2-x,-y\n12 1/2+y,1/2-z,-x\n13 -x,-y,-z\n14 -z,-x,-y\n15 -y,-z,-x\n16 x,1/2-y,1/2+z\n17 z,1/2-x,1/2+y\n18 y,1/2-z,1/2+x\n19 1/2+x,y,1/2-z\n20 1/2+z,x,1/2-y\n21 1/2+y,z,1/2-x\n22 1/2-x,1/2+y,z\n23 1/2-z,1/2+x,y\n24 1/2-y,1/2+z,x\n_cell_length_a                   10.08(1)\n_cell_length_b                   10.08(1)\n_cell_length_c                   10.08(1)\n_cell_angle_alpha                90\n_cell_angle_beta                 90\n_cell_angle_gamma                90\n_cell_volume                     1024.19\nloop_\n_atom_site_label\n_atom_site_type_symbol\n_atom_site_fract_x\n_atom_site_fract_y\n_atom_site_fract_z\nCl1 Cl 0.38560 0.22320 0.08190\nC1 C 0.41720 0.39730 0.06460\nH1 H 0.36840 0.47300 0.14730\n#END\n"
  },
  {
    "path": "pyxtal/database/packing-analysis/HCLBNZ.cif",
    "content": "\n#######################################################################\n#\n#                 Cambridge Crystallographic Data Centre\n#                                CCDC \n#\n#######################################################################\n#\n# If this CIF has been generated from an entry in the Cambridge \n# Structural Database, then it will include bibliographic, chemical, \n# crystal, experimental, refinement or atomic coordinate data resulting \n# from the CCDC's data processing and validation procedures.\n#\n#######################################################################\n\ndata_HCLBNZ\n_symmetry_cell_setting           monoclinic\n_symmetry_space_group_name_H-M   'P 21/c'\n_symmetry_Int_Tables_number      14\n_space_group_name_Hall           '-P 2ybc'\nloop_\n_symmetry_equiv_pos_site_id\n_symmetry_equiv_pos_as_xyz\n1 x,y,z\n2 -x,1/2+y,1/2-z\n3 -x,-y,-z\n4 x,1/2-y,1/2+z\n_cell_length_a                   8.080\n_cell_length_b                   3.870\n_cell_length_c                   16.650\n_cell_angle_alpha                90\n_cell_angle_beta                 117.00\n_cell_angle_gamma                90\n_cell_volume                     463.893\nloop_\n_atom_site_label\n_atom_site_type_symbol\n_atom_site_fract_x\n_atom_site_fract_y\n_atom_site_fract_z\nCl1 Cl 0.40800 0.24500 0.06600\nCl2 Cl 0.27900 -0.03300 0.20400\nCl3 Cl 0.12800 0.27800 -0.13800\nC1 C 0.18300 0.11100 0.03000\nC2 C 0.12600 -0.01500 0.09200\nC3 C 0.05800 0.12500 -0.06200\n\n#END\n"
  },
  {
    "path": "pyxtal/database/packing-analysis/HXMTAM.cif",
    "content": "\n#######################################################################\n#\n#                 Cambridge Crystallographic Data Centre\n#                                CCDC \n#\n#######################################################################\n#\n# If this CIF has been generated from an entry in the Cambridge \n# Structural Database, then it will include bibliographic, chemical, \n# crystal, experimental, refinement or atomic coordinate data resulting \n# from the CCDC's data processing and validation procedures.\n#\n#######################################################################\n\ndata_HXMTAM\n_symmetry_cell_setting           cubic\n_symmetry_space_group_name_H-M   'I -4 3 m'\n_symmetry_Int_Tables_number      217\n_space_group_name_Hall           'I -4 2 3'\nloop_\n_symmetry_equiv_pos_site_id\n_symmetry_equiv_pos_as_xyz\n1 x,y,z\n2 1/2+x,1/2+y,1/2+z\n3 z,x,y\n4 y,z,x\n5 1/2+z,1/2+x,1/2+y\n6 1/2+y,1/2+z,1/2+x\n7 -y,x,-z\n8 1/2-y,1/2+x,1/2-z\n9 -x,z,-y\n10 -z,y,-x\n11 1/2-x,1/2+z,1/2-y\n12 1/2-z,1/2+y,1/2-x\n13 x,-y,-z\n14 1/2+x,1/2-y,1/2-z\n15 z,-x,-y\n16 y,-z,-x\n17 1/2+z,1/2-x,1/2-y\n18 1/2+y,1/2-z,1/2-x\n19 -y,-x,z\n20 1/2-y,1/2-x,1/2+z\n21 -x,-z,y\n22 -z,-y,x\n23 1/2-x,1/2-z,1/2+y\n24 1/2-z,1/2-y,1/2+x\n25 -x,y,-z\n26 1/2-x,1/2+y,1/2-z\n27 -z,x,-y\n28 -y,z,-x\n29 1/2-z,1/2+x,1/2-y\n30 1/2-y,1/2+z,1/2-x\n31 y,x,z\n32 1/2+y,1/2+x,1/2+z\n33 x,z,y\n34 z,y,x\n35 1/2+x,1/2+z,1/2+y\n36 1/2+z,1/2+y,1/2+x\n37 -x,-y,z\n38 1/2-x,1/2-y,1/2+z\n39 -z,-x,y\n40 -y,-z,x\n41 1/2-z,1/2-x,1/2+y\n42 1/2-y,1/2-z,1/2+x\n43 y,-x,-z\n44 1/2+y,1/2-x,1/2-z\n45 x,-z,-y\n46 z,-y,-x\n47 1/2+x,1/2-z,1/2-y\n48 1/2+z,1/2-y,1/2-x\n_cell_length_a                   7.021\n_cell_length_b                   7.021\n_cell_length_c                   7.021\n_cell_angle_alpha                90\n_cell_angle_beta                 90\n_cell_angle_gamma                90\n_cell_volume                     346.096\nloop_\n_atom_site_label\n_atom_site_type_symbol\n_atom_site_fract_x\n_atom_site_fract_y\n_atom_site_fract_z\nC1 C 0.23780 0.00000 0.00000\nH1 H 0.32750 0.08850 -0.08850\nN1 N 0.12320 0.12320 0.12320\n#END\n"
  },
  {
    "path": "pyxtal/database/packing-analysis/PNDMAM10.cif",
    "content": "\n#######################################################################\n#\n#                 Cambridge Crystallographic Data Centre\n#                                CCDC \n#\n#######################################################################\n#\n# If this CIF has been generated from an entry in the Cambridge \n# Structural Database, then it will include bibliographic, chemical, \n# crystal, experimental, refinement or atomic coordinate data resulting \n# from the CCDC's data processing and validation procedures.\n#\n#######################################################################\n\ndata_PNDMAM10\n_symmetry_cell_setting           cubic\n_symmetry_space_group_name_H-M   'P a 3'\n_symmetry_Int_Tables_number      205\n_space_group_name_Hall           '-P 2ac 2ab 3'\nloop_\n_symmetry_equiv_pos_site_id\n_symmetry_equiv_pos_as_xyz\n1 x,y,z\n2 z,x,y\n3 y,z,x\n4 1/2+x,y,1/2-z\n5 1/2+z,x,1/2-y\n6 1/2+y,z,1/2-x\n7 1/2-x,1/2+y,z\n8 1/2-z,1/2+x,y\n9 1/2-y,1/2+z,x\n10 -x,1/2+y,1/2-z\n11 -z,1/2+x,1/2-y\n12 -y,1/2+z,1/2-x\n13 -x,-y,-z\n14 -z,-x,-y\n15 -y,-z,-x\n16 1/2-x,-y,1/2+z\n17 1/2-z,-x,1/2+y\n18 1/2-y,-z,1/2+x\n19 1/2+x,1/2-y,-z\n20 1/2+z,1/2-x,-y\n21 1/2+y,1/2-z,-x\n22 x,1/2-y,1/2+z\n23 z,1/2-x,1/2+y\n24 y,1/2-z,1/2+x\n_cell_length_a                   16.198(5)\n_cell_length_b                   16.198(5)\n_cell_length_c                   16.198(5)\n_cell_angle_alpha                90\n_cell_angle_beta                 90\n_cell_angle_gamma                90\n_cell_volume                     4249.95\nloop_\n_atom_site_label\n_atom_site_type_symbol\n_atom_site_fract_x\n_atom_site_fract_y\n_atom_site_fract_z\nC1 C -0.09810 0.06000 -0.25880\nC2 C -0.04100 -0.07390 -0.21950\nC3 C 0.11980 0.19880 -0.21790\nC4 C 0.11400 0.07690 -0.30320\nH1 H -0.09000 0.05000 -0.32000\nH2 H 0.12000 0.10000 -0.37000\nH3 H 0.15000 0.05000 -0.29000\nH4 H 0.07000 0.04000 -0.32000\nH5 H -0.09000 0.11000 -0.26000\nH6 H -0.15000 0.03000 -0.23000\nH7 H -0.11000 -0.10000 -0.21000\nH8 H -0.02000 -0.10000 -0.17000\nH9 H -0.02000 -0.08000 -0.27000\nH10 H 0.17000 0.18000 -0.21000\nH11 H 0.08000 0.23000 -0.19000\nH12 H 0.10000 0.24000 -0.26000\nN1 N 0.09600 -0.00440 -0.13100\nN2 N -0.04100 0.01460 -0.20640\nN3 N 0.07550 0.12220 -0.23530\nP1 P 0.03520 0.06480 -0.15930\nN1N N 0.00440 0.13100 -0.09600\nP1M P 0.15930 -0.03520 -0.06480\nP1N P -0.06480 0.15930 -0.03520\nN1M N 0.13100 -0.09600 0.00440\nN2M N 0.20640 0.04100 -0.01460\nN3M N 0.23530 -0.07550 -0.12220\nN1A N -0.13100 0.09600 -0.00440\nN2N N -0.01460 0.20640 0.04100\nN3N N -0.12220 0.23530 -0.07550\nP1B P 0.06480 -0.15930 0.03520\nC1M C 0.25880 0.09810 -0.06000\nC2M C 0.21950 0.04100 0.07390\nC3M C 0.21790 -0.11980 -0.19880\nC4M C 0.30320 -0.11400 -0.07690\nP1A P -0.15930 0.03520 0.06480\nC1N C -0.06000 0.25880 0.09810\nC2N C 0.07390 0.21950 0.04100\nC3N C -0.19880 0.21790 -0.11980\nC4N C -0.07690 0.30320 -0.11400\nN1B N -0.00440 -0.13100 0.09600\nN2B N 0.01460 -0.20640 -0.04100\nN3B N 0.12220 -0.23530 0.07550\nH1M H 0.32000 0.09000 -0.05000\nH5M H 0.26000 0.09000 -0.11000\nH6M H 0.23000 0.15000 -0.03000\nH7M H 0.21000 0.11000 0.10000\nH8M H 0.17000 0.02000 0.10000\nH9M H 0.27000 0.02000 0.08000\nH10M H 0.21000 -0.17000 -0.18000\nH11M H 0.19000 -0.08000 -0.23000\nH12M H 0.26000 -0.10000 -0.24000\nH2M H 0.37000 -0.12000 -0.10000\nH3M H 0.29000 -0.15000 -0.05000\nH4M H 0.32000 -0.07000 -0.04000\nN1L N -0.09600 0.00440 0.13100\nN2A N -0.20640 -0.04100 0.01460\nN3A N -0.23530 0.07550 0.12220\nH1N H -0.05000 0.32000 0.09000\nH5N H -0.11000 0.26000 0.09000\nH6N H -0.03000 0.23000 0.15000\nH7N H 0.10000 0.21000 0.11000\nH8N H 0.10000 0.17000 0.02000\nH9N H 0.08000 0.27000 0.02000\nH10N H -0.18000 0.21000 -0.17000\nH11N H -0.23000 0.19000 -0.08000\nH12N H -0.24000 0.26000 -0.10000\nH2N H -0.10000 0.37000 -0.12000\nH3N H -0.05000 0.29000 -0.15000\nH4N H -0.04000 0.32000 -0.07000\nP1L P -0.03520 -0.06480 0.15930\nC1B C 0.06000 -0.25880 -0.09810\nC2B C -0.07390 -0.21950 -0.04100\nC3B C 0.19880 -0.21790 0.11980\nC4B C 0.07690 -0.30320 0.11400\nC1A C -0.25880 -0.09810 0.06000\nC2A C -0.21950 -0.04100 -0.07390\nC3A C -0.21790 0.11980 0.19880\nC4A C -0.30320 0.11400 0.07690\nN2L N 0.04100 -0.01460 0.20640\nN3L N -0.07550 -0.12220 0.23530\nH1B H 0.05000 -0.32000 -0.09000\nH5B H 0.11000 -0.26000 -0.09000\nH6B H 0.03000 -0.23000 -0.15000\nH7B H -0.10000 -0.21000 -0.11000\nH8B H -0.10000 -0.17000 -0.02000\nH9B H -0.08000 -0.27000 -0.02000\nH10B H 0.18000 -0.21000 0.17000\nH11B H 0.23000 -0.19000 0.08000\nH12B H 0.24000 -0.26000 0.10000\nH2B H 0.10000 -0.37000 0.12000\nH3B H 0.05000 -0.29000 0.15000\nH4B H 0.04000 -0.32000 0.07000\nH1A H -0.32000 -0.09000 0.05000\nH5A H -0.26000 -0.09000 0.11000\nH6A H -0.23000 -0.15000 0.03000\nH7A H -0.21000 -0.11000 -0.10000\nH8A H -0.17000 -0.02000 -0.10000\nH9A H -0.27000 -0.02000 -0.08000\nH10A H -0.21000 0.17000 0.18000\nH11A H -0.19000 0.08000 0.23000\nH12A H -0.26000 0.10000 0.24000\nH2A H -0.37000 0.12000 0.10000\nH3A H -0.29000 0.15000 0.05000\nH4A H -0.32000 0.07000 0.04000\nC1L C 0.09810 -0.06000 0.25880\nC2L C 0.04100 0.07390 0.21950\nC3L C -0.11980 -0.19880 0.21790\nC4L C -0.11400 -0.07690 0.30320\nH1L H 0.09000 -0.05000 0.32000\nH5L H 0.09000 -0.11000 0.26000\nH6L H 0.15000 -0.03000 0.23000\nH7L H 0.11000 0.10000 0.21000\nH8L H 0.02000 0.10000 0.17000\nH9L H 0.02000 0.08000 0.27000\nH10L H -0.17000 -0.18000 0.21000\nH11L H -0.08000 -0.23000 0.19000\nH12L H -0.10000 -0.24000 0.26000\nH2L H -0.12000 -0.10000 0.37000\nH3L H -0.15000 -0.05000 0.29000\nH4L H -0.07000 -0.04000 0.32000\n\n#END\n"
  },
  {
    "path": "pyxtal/database/packing-analysis/ZZZWOU01.cif",
    "content": "\n#######################################################################\n#\n#                 Cambridge Crystallographic Data Centre\n#                                CCDC \n#\n#######################################################################\n#\n# If this CIF has been generated from an entry in the Cambridge \n# Structural Database, then it will include bibliographic, chemical, \n# crystal, experimental, refinement or atomic coordinate data resulting \n# from the CCDC's data processing and validation procedures.\n#\n#######################################################################\n\ndata_ZZZWOU01\n_symmetry_cell_setting           cubic\n_symmetry_space_group_name_H-M   'P a 3'\n_symmetry_Int_Tables_number      205\n_space_group_name_Hall           '-P 2ac 2ab 3'\nloop_\n_symmetry_equiv_pos_site_id\n_symmetry_equiv_pos_as_xyz\n1 x,y,z\n2 z,x,y\n3 y,z,x\n4 -x,1/2+y,1/2-z\n5 -z,1/2+x,1/2-y\n6 -y,1/2+z,1/2-x\n7 1/2-x,-y,1/2+z\n8 1/2-z,-x,1/2+y\n9 1/2-y,-z,1/2+x\n10 1/2+x,1/2-y,-z\n11 1/2+z,1/2-x,-y\n12 1/2+y,1/2-z,-x\n13 -x,-y,-z\n14 -z,-x,-y\n15 -y,-z,-x\n16 x,1/2-y,1/2+z\n17 z,1/2-x,1/2+y\n18 y,1/2-z,1/2+x\n19 1/2+x,y,1/2-z\n20 1/2+z,x,1/2-y\n21 1/2+y,z,1/2-x\n22 1/2-x,1/2+y,z\n23 1/2-z,1/2+x,y\n24 1/2-y,1/2+z,x\n_cell_length_a                   9.192(4)\n_cell_length_b                   9.192(4)\n_cell_length_c                   9.192(4)\n_cell_angle_alpha                90\n_cell_angle_beta                 90\n_cell_angle_gamma                90\n_cell_volume                     776.658\nloop_\n_atom_site_label\n_atom_site_type_symbol\n_atom_site_fract_x\n_atom_site_fract_y\n_atom_site_fract_z\nN1 N 0.4709(7) 0.2138(9) 0.2168(7)\nC1 C 0.4902(11) 0.1010(8) 0.1111(7)\nH1 H 0.5540(62) 0.2615(60) 0.2355(59)\nH2 H 0.4307(64) 0.1894(80) 0.2952(74)\n#END\n"
  },
  {
    "path": "pyxtal/database/point.csv",
    "content": ",0\n0,\n1,\"[[[[1,0,0,0],[0,1,0,0],[0,0,1,0],[0,0,0,1]]]]\"\n2,\"[[[[1,0,0,0],[0,1,0,0],[0,0,1,0],[0,0,0,1]],[[-1,0,0,0],[0,-1,0,0],[0,0,-1,0],[0,0,0,1]]],[[[0,0,0,0],[0,0,0,0],[0,0,0,0],[0,0,0,1]]]]\"\n3,\"[[[[1,0,0,0],[0,1,0,0],[0,0,1,0],[0,0,0,1]],[[-1,0,0,0],[0,-1,0,0],[0,0,1,0],[0,0,0,1]]],[[[0,0,0,0],[0,0,0,0],[0,0,1,0],[0,0,0,1]]]]\"\n4,\"[[[[1,0,0,0],[0,1,0,0],[0,0,1,0],[0,0,0,1]],[[1,0,0,0],[0,1,0,0],[0,0,-1,0],[0,0,0,1]]],[[[1,0,0,0],[0,1,0,0],[0,0,0,0],[0,0,0,1]]]]\"\n5,\"[[[[1,0,0,0],[0,1,0,0],[0,0,1,0],[0,0,0,1]],[[1,0,0,0],[0,1,0,0],[0,0,-1,0],[0,0,0,1]],[[-1,0,0,0],[0,-1,0,0],[0,0,1,0],[0,0,0,1]],[[-1,0,0,0],[0,-1,0,0],[0,0,-1,0],[0,0,0,1]]],[[[1,0,0,0],[0,1,0,0],[0,0,0,0],[0,0,0,1]],[[-1,0,0,0],[0,-1,0,0],[0,0,0,0],[0,0,0,1]]],[[[0,0,0,0],[0,0,0,0],[0,0,1,0],[0,0,0,1]],[[0,0,0,0],[0,0,0,0],[0,0,-1,0],[0,0,0,1]]],[[[0,0,0,0],[0,0,0,0],[0,0,0,0],[0,0,0,1]]]]\"\n6,\"[[[[1,0,0,0],[0,1,0,0],[0,0,1,0],[0,0,0,1]],[[1,0,0,0],[0,-1,0,0],[0,0,-1,0],[0,0,0,1]],[[-1,0,0,0],[0,-1,0,0],[0,0,1,0],[0,0,0,1]],[[-1,0,0,0],[0,1,0,0],[0,0,-1,0],[0,0,0,1]]],[[[0,0,0,0],[0,1,0,0],[0,0,0,0],[0,0,0,1]],[[0,0,0,0],[0,-1,0,0],[0,0,0,0],[0,0,0,1]]],[[[1,0,0,0],[0,0,0,0],[0,0,0,0],[0,0,0,1]],[[-1,0,0,0],[0,0,0,0],[0,0,0,0],[0,0,0,1]]],[[[0,0,0,0],[0,0,0,0],[0,0,1,0],[0,0,0,1]],[[0,0,0,0],[0,0,0,0],[0,0,-1,0],[0,0,0,1]]],[[[0,0,0,0],[0,0,0,0],[0,0,0,0],[0,0,0,1]]]]\"\n7,\"[[[[1,0,0,0],[0,1,0,0],[0,0,1,0],[0,0,0,1]],[[-1,0,0,0],[0,1,0,0],[0,0,1,0],[0,0,0,1]],[[-1,0,0,0],[0,-1,0,0],[0,0,1,0],[0,0,0,1]],[[1,0,0,0],[0,-1,0,0],[0,0,1,0],[0,0,0,1]]],[[[0,0,0,0],[0,1,0,0],[0,0,1,0],[0,0,0,1]],[[0,0,0,0],[0,-1,0,0],[0,0,1,0],[0,0,0,1]]],[[[1,0,0,0],[0,0,0,0],[0,0,1,0],[0,0,0,1]],[[-1,0,0,0],[0,0,0,0],[0,0,1,0],[0,0,0,1]]],[[[0,0,0,0],[0,0,0,0],[0,0,1,0],[0,0,0,1]]]]\"\n8,\"[[[[1,0,0,0],[0,1,0,0],[0,0,1,0],[0,0,0,1]],[[1,0,0,0],[0,-1,0,0],[0,0,-1,0],[0,0,0,1]],[[1,0,0,0],[0,1,0,0],[0,0,-1,0],[0,0,0,1]],[[-1,0,0,0],[0,-1,0,0],[0,0,1,0],[0,0,0,1]],[[-1,0,0,0],[0,1,0,0],[0,0,-1,0],[0,0,0,1]],[[-1,0,0,0],[0,-1,0,0],[0,0,-1,0],[0,0,0,1]],[[1,0,0,0],[0,-1,0,0],[0,0,1,0],[0,0,0,1]],[[-1,0,0,0],[0,1,0,0],[0,0,1,0],[0,0,0,1]]],[[[1,0,0,0],[0,1,0,0],[0,0,0,0],[0,0,0,1]],[[-1,0,0,0],[0,1,0,0],[0,0,0,0],[0,0,0,1]],[[-1,0,0,0],[0,-1,0,0],[0,0,0,0],[0,0,0,1]],[[1,0,0,0],[0,-1,0,0],[0,0,0,0],[0,0,0,1]]],[[[1,0,0,0],[0,0,0,0],[0,0,1,0],[0,0,0,1]],[[-1,0,0,0],[0,0,0,0],[0,0,-1,0],[0,0,0,1]],[[-1,0,0,0],[0,0,0,0],[0,0,1,0],[0,0,0,1]],[[1,0,0,0],[0,0,0,0],[0,0,-1,0],[0,0,0,1]]],[[[0,0,0,0],[0,1,0,0],[0,0,1,0],[0,0,0,1]],[[0,0,0,0],[0,1,0,0],[0,0,-1,0],[0,0,0,1]],[[0,0,0,0],[0,-1,0,0],[0,0,-1,0],[0,0,0,1]],[[0,0,0,0],[0,-1,0,0],[0,0,1,0],[0,0,0,1]]],[[[0,0,0,0],[0,1,0,0],[0,0,0,0],[0,0,0,1]],[[0,0,0,0],[0,-1,0,0],[0,0,0,0],[0,0,0,1]]],[[[1,0,0,0],[0,0,0,0],[0,0,0,0],[0,0,0,1]],[[-1,0,0,0],[0,0,0,0],[0,0,0,0],[0,0,0,1]]],[[[0,0,0,0],[0,0,0,0],[0,0,1,0],[0,0,0,1]],[[0,0,0,0],[0,0,0,0],[0,0,-1,0],[0,0,0,1]]],[[[0,0,0,0],[0,0,0,0],[0,0,0,0],[0,0,0,1]]]]\"\n9,\"[[[[1,0,0,0],[0,1,0,0],[0,0,1,0],[0,0,0,1]],[[-1,0,0,0],[0,-1,0,0],[0,0,1,0],[0,0,0,1]],[[0,1,0,0],[-1,0,0,0],[0,0,1,0],[0,0,0,1]],[[0,-1,0,0],[1,0,0,0],[0,0,1,0],[0,0,0,1]]],[[[0,0,0,0],[0,0,0,0],[0,0,1,0],[0,0,0,1]]]]\"\n10,\"[[[[1,0,0,0],[0,1,0,0],[0,0,1,0],[0,0,0,1]],[[-1,0,0,0],[0,-1,0,0],[0,0,1,0],[0,0,0,1]],[[0,1,0,0],[-1,0,0,0],[0,0,-1,0],[0,0,0,1]],[[0,-1,0,0],[1,0,0,0],[0,0,-1,0],[0,0,0,1]]],[[[0,0,0,0],[0,0,0,0],[0,0,1,0],[0,0,0,1]],[[0,0,0,0],[0,0,0,0],[0,0,-1,0],[0,0,0,1]]],[[[0,0,0,0],[0,0,0,0],[0,0,0,0],[0,0,0,1]]]]\"\n11,\"[[[[1,0,0,0],[0,1,0,0],[0,0,1,0],[0,0,0,1]],[[1,0,0,0],[0,1,0,0],[0,0,-1,0],[0,0,0,1]],[[-1,0,0,0],[0,-1,0,0],[0,0,1,0],[0,0,0,1]],[[0,-1,0,0],[1,0,0,0],[0,0,-1,0],[0,0,0,1]],[[0,-1,0,0],[1,0,0,0],[0,0,1,0],[0,0,0,1]],[[0,1,0,0],[-1,0,0,0],[0,0,1,0],[0,0,0,1]],[[-1,0,0,0],[0,-1,0,0],[0,0,-1,0],[0,0,0,1]],[[0,1,0,0],[-1,0,0,0],[0,0,-1,0],[0,0,0,1]]],[[[1,0,0,0],[0,1,0,0],[0,0,0,0],[0,0,0,1]],[[0,-1,0,0],[1,0,0,0],[0,0,0,0],[0,0,0,1]],[[-1,0,0,0],[0,-1,0,0],[0,0,0,0],[0,0,0,1]],[[0,1,0,0],[-1,0,0,0],[0,0,0,0],[0,0,0,1]]],[[[0,0,0,0],[0,0,0,0],[0,0,1,0],[0,0,0,1]],[[0,0,0,0],[0,0,0,0],[0,0,-1,0],[0,0,0,1]]],[[[0,0,0,0],[0,0,0,0],[0,0,0,0],[0,0,0,1]]]]\"\n12,\"[[[[1,0,0,0],[0,1,0,0],[0,0,1,0],[0,0,0,1]],[[1,0,0,0],[0,-1,0,0],[0,0,-1,0],[0,0,0,1]],[[-1,0,0,0],[0,-1,0,0],[0,0,1,0],[0,0,0,1]],[[0,1,0,0],[1,0,0,0],[0,0,-1,0],[0,0,0,1]],[[0,-1,0,0],[-1,0,0,0],[0,0,-1,0],[0,0,0,1]],[[0,-1,0,0],[1,0,0,0],[0,0,1,0],[0,0,0,1]],[[0,1,0,0],[-1,0,0,0],[0,0,1,0],[0,0,0,1]],[[-1,0,0,0],[0,1,0,0],[0,0,-1,0],[0,0,0,1]]],[[[1,0,0,0],[-1,0,0,0],[0,0,0,0],[0,0,0,1]],[[-1,0,0,0],[1,0,0,0],[0,0,0,0],[0,0,0,1]],[[1,0,0,0],[1,0,0,0],[0,0,0,0],[0,0,0,1]],[[-1,0,0,0],[-1,0,0,0],[0,0,0,0],[0,0,0,1]]],[[[1,0,0,0],[0,0,0,0],[0,0,0,0],[0,0,0,1]],[[0,0,0,0],[1,0,0,0],[0,0,0,0],[0,0,0,1]],[[-1,0,0,0],[0,0,0,0],[0,0,0,0],[0,0,0,1]],[[0,0,0,0],[-1,0,0,0],[0,0,0,0],[0,0,0,1]]],[[[0,0,0,0],[0,0,0,0],[0,0,1,0],[0,0,0,1]],[[0,0,0,0],[0,0,0,0],[0,0,-1,0],[0,0,0,1]]],[[[0,0,0,0],[0,0,0,0],[0,0,0,0],[0,0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,[[1,0,0,0],[-1,0,0,0],[-1,0,0,0],[0,0,0,1]],[[1,0,0,0],[1,0,0,0],[-1,0,0,0],[0,0,0,1]],[[-1,0,0,0],[-1,0,0,0],[-1,0,0,0],[0,0,0,1]],[[1,0,0,0],[-1,0,0,0],[1,0,0,0],[0,0,0,1]],[[-1,0,0,0],[1,0,0,0],[1,0,0,0],[0,0,0,1]]],[[[1,0,0,0],[0,0,0,0],[0,0,0,0],[0,0,0,1]],[[-1,0,0,0],[0,0,0,0],[0,0,0,0],[0,0,0,1]],[[0,0,0,0],[1,0,0,0],[0,0,0,0],[0,0,0,1]],[[0,0,0,0],[-1,0,0,0],[0,0,0,0],[0,0,0,1]],[[0,0,0,0],[0,0,0,0],[1,0,0,0],[0,0,0,1]],[[0,0,0,0],[0,0,0,0],[-1,0,0,0],[0,0,0,1]]],[[[0,0,0,0],[0,0,0,0],[0,0,0,0],[0,0,0,1]]]]\"\n31,\"[[[[1,0,0,0],[0,1,0,0],[0,0,1,0],[0,0,0,1]],[[-1,0,0,0],[0,-1,0,0],[0,0,1,0],[0,0,0,1]],[[-1,0,0,0],[0,1,0,0],[0,0,-1,0],[0,0,0,1]],[[1,0,0,0],[0,-1,0,0],[0,0,-1,0],[0,0,0,1]],[[0,0,1,0],[1,0,0,0],[0,1,0,0],[0,0,0,1]],[[0,0,1,0],[-1,0,0,0],[0,-1,0,0],[0,0,0,1]],[[0,0,-1,0],[-1,0,0,0],[0,1,0,0],[0,0,0,1]],[[0,0,-1,0],[1,0,0,0],[0,-1,0,0],[0,0,0,1]],[[0,1,0,0],[0,0,1,0],[1,0,0,0],[0,0,0,1]],[[0,-1,0,0],[0,0,1,0],[-1,0,0,0],[0,0,0,1]],[[0,1,0,0],[0,0,-1,0],[-1,0,0,0],[0,0,0,1]],[[0,-1,0,0],[0,0,-1,0],[1,0,0,0],[0,0,0,1]],[[0,1,0,0],[1,0,0,0],[0,0,1,0],[0,0,0,1]],[[0,-1,0,0],[-1,0,0,0],[0,0,1,0],[0,0,0,1]],[[0,1,0,0],[-1,0,0,0],[0,0,-1,0],[0,0,0,1]],[[0,-1,0,0],[1,0,0,0],[0,0,-1,0],[0,0,0,1]],[[1,0,0,0],[0,0,1,0],[0,1,0,0],[0,0,0,1]],[[-1,0,0,0],[0,0,1,0],[0,-1,0,0],[0,0,0,1]],[[-1,0,0,0],[0,0,-1,0],[0,1,0,0],[0,0,0,1]],[[1,0,0,0],[0,0,-1,0],[0,-1,0,0],[0,0,0,1]],[[0,0,1,0],[0,1,0,0],[1,0,0,0],[0,0,0,1]],[[0,0,1,0],[0,-1,0,0],[-1,0,0,0],[0,0,0,1]],[[0,0,-1,0],[0,1,0,0],[-1,0,0,0],[0,0,0,1]],[[0,0,-1,0],[0,-1,0,0],[1,0,0,0],[0,0,0,1]]],[[[1,0,0,0],[1,0,0,0],[0,0,1,0],[0,0,0,1]],[[-1,0,0,0],[-1,0,0,0],[0,0,1,0],[0,0,0,1]],[[-1,0,0,0],[1,0,0,0],[0,0,-1,0],[0,0,0,1]],[[1,0,0,0],[-1,0,0,0],[0,0,-1,0],[0,0,0,1]],[[0,0,1,0],[1,0,0,0],[1,0,0,0],[0,0,0,1]],[[0,0,1,0],[-1,0,0,0],[-1,0,0,0],[0,0,0,1]],[[0,0,-1,0],[-1,0,0,0],[1,0,0,0],[0,0,0,1]],[[0,0,-1,0],[1,0,0,0],[-1,0,0,0],[0,0,0,1]],[[1,0,0,0],[0,0,1,0],[1,0,0,0],[0,0,0,1]],[[-1,0,0,0],[0,0,1,0],[-1,0,0,0],[0,0,0,1]],[[1,0,0,0],[0,0,-1,0],[-1,0,0,0],[0,0,0,1]],[[-1,0,0,0],[0,0,-1,0],[1,0,0,0],[0,0,0,1]]],[[[1,0,0,0],[0,0,0,0],[0,0,0,0],[0,0,0,1]],[[-1,0,0,0],[0,0,0,0],[0,0,0,0],[0,0,0,1]],[[0,0,0,0],[1,0,0,0],[0,0,0,0],[0,0,0,1]],[[0,0,0,0],[-1,0,0,0],[0,0,0,0],[0,0,0,1]],[[0,0,0,0],[0,0,0,0],[1,0,0,0],[0,0,0,1]],[[0,0,0,0],[0,0,0,0],[-1,0,0,0],[0,0,0,1]]],[[[1,0,0,0],[1,0,0,0],[1,0,0,0],[0,0,0,1]],[[-1,0,0,0],[-1,0,0,0],[1,0,0,0],[0,0,0,1]],[[-1,0,0,0],[1,0,0,0],[-1,0,0,0],[0,0,0,1]],[[1,0,0,0],[-1,0,0,0],[-1,0,0,0],[0,0,0,1]]],[[[0,0,0,0],[0,0,0,0],[0,0,0,0],[0,0,0,1]]]]\"\n32,\"[[[[1,0,0,0],[0,1,0,0],[0,0,1,0],[0,0,0,1]],[[-1,0,0,0],[0,-1,0,0],[0,0,1,0],[0,0,0,1]],[[-1,0,0,0],[0,1,0,0],[0,0,-1,0],[0,0,0,1]],[[1,0,0,0],[0,-1,0,0],[0,0,-1,0],[0,0,0,1]],[[0,0,1,0],[1,0,0,0],[0,1,0,0],[0,0,0,1]],[[0,0,1,0],[-1,0,0,0],[0,-1,0,0],[0,0,0,1]],[[0,0,-1,0],[-1,0,0,0],[0,1,0,0],[0,0,0,1]],[[0,0,-1,0],[1,0,0,0],[0,-1,0,0],[0,0,0,1]],[[0,1,0,0],[0,0,1,0],[1,0,0,0],[0,0,0,1]],[[0,-1,0,0],[0,0,1,0],[-1,0,0,0],[0,0,0,1]],[[0,1,0,0],[0,0,-1,0],[-1,0,0,0],[0,0,0,1]],[[0,-1,0,0],[0,0,-1,0],[1,0,0,0],[0,0,0,1]],[[0,1,0,0],[1,0,0,0],[0,0,-1,0],[0,0,0,1]],[[0,-1,0,0],[-1,0,0,0],[0,0,-1,0],[0,0,0,1]],[[0,1,0,0],[-1,0,0,0],[0,0,1,0],[0,0,0,1]],[[0,-1,0,0],[1,0,0,0],[0,0,1,0],[0,0,0,1]],[[1,0,0,0],[0,0,1,0],[0,-1,0,0],[0,0,0,1]],[[-1,0,0,0],[0,0,1,0],[0,1,0,0],[0,0,0,1]],[[-1,0,0,0],[0,0,-1,0],[0,-1,0,0],[0,0,0,1]],[[1,0,0,0],[0,0,-1,0],[0,1,0,0],[0,0,0,1]],[[0,0,1,0],[0,1,0,0],[-1,0,0,0],[0,0,0,1]],[[0,0,1,0],[0,-1,0,0],[1,0,0,0],[0,0,0,1]],[[0,0,-1,0],[0,1,0,0],[1,0,0,0],[0,0,0,1]],[[0,0,-1,0],[0,-1,0,0],[-1,0,0,0],[0,0,0,1]],[[-1,0,0,0],[0,-1,0,0],[0,0,-1,0],[0,0,0,1]],[[1,0,0,0],[0,1,0,0],[0,0,-1,0],[0,0,0,1]],[[1,0,0,0],[0,-1,0,0],[0,0,1,0],[0,0,0,1]],[[-1,0,0,0],[0,1,0,0],[0,0,1,0],[0,0,0,1]],[[0,0,-1,0],[-1,0,0,0],[0,-1,0,0],[0,0,0,1]],[[0,0,-1,0],[1,0,0,0],[0,1,0,0],[0,0,0,1]],[[0,0,1,0],[1,0,0,0],[0,-1,0,0],[0,0,0,1]],[[0,0,1,0],[-1,0,0,0],[0,1,0,0],[0,0,0,1]],[[0,-1,0,0],[0,0,-1,0],[-1,0,0,0],[0,0,0,1]],[[0,1,0,0],[0,0,-1,0],[1,0,0,0],[0,0,0,1]],[[0,-1,0,0],[0,0,1,0],[1,0,0,0],[0,0,0,1]],[[0,1,0,0],[0,0,1,0],[-1,0,0,0],[0,0,0,1]],[[0,-1,0,0],[-1,0,0,0],[0,0,1,0],[0,0,0,1]],[[0,1,0,0],[1,0,0,0],[0,0,1,0],[0,0,0,1]],[[0,-1,0,0],[1,0,0,0],[0,0,-1,0],[0,0,0,1]],[[0,1,0,0],[-1,0,0,0],[0,0,-1,0],[0,0,0,1]],[[-1,0,0,0],[0,0,-1,0],[0,1,0,0],[0,0,0,1]],[[1,0,0,0],[0,0,-1,0],[0,-1,0,0],[0,0,0,1]],[[1,0,0,0],[0,0,1,0],[0,1,0,0],[0,0,0,1]],[[-1,0,0,0],[0,0,1,0],[0,-1,0,0],[0,0,0,1]],[[0,0,-1,0],[0,-1,0,0],[1,0,0,0],[0,0,0,1]],[[0,0,-1,0],[0,1,0,0],[-1,0,0,0],[0,0,0,1]],[[0,0,1,0],[0,-1,0,0],[-1,0,0,0],[0,0,0,1]],[[0,0,1,0],[0,1,0,0],[1,0,0,0],[0,0,0,1]]],[[[1,0,0,0],[1,0,0,0],[0,0,1,0],[0,0,0,1]],[[-1,0,0,0],[-1,0,0,0],[0,0,1,0],[0,0,0,1]],[[-1,0,0,0],[1,0,0,0],[0,0,-1,0],[0,0,0,1]],[[1,0,0,0],[-1,0,0,0],[0,0,-1,0],[0,0,0,1]],[[0,0,1,0],[1,0,0,0],[1,0,0,0],[0,0,0,1]],[[0,0,1,0],[-1,0,0,0],[-1,0,0,0],[0,0,0,1]],[[0,0,-1,0],[-1,0,0,0],[1,0,0,0],[0,0,0,1]],[[0,0,-1,0],[1,0,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",0\n0,\n1,\"[[[[1,0,0,0],[0,1,0,0],[0,0,1,0],[0,0,0,1]]]]\"\n2,\"[[[[1,0,0,0],[0,1,0,0],[0,0,1,0],[0,0,0,1]],[[-1,0,0,0],[0,-1,0,0],[0,0,-1,0],[0,0,0,1]]],[[[1,0,0,0],[0,1,0,0],[0,0,1,0],[0,0,0,1]]]]\"\n3,\"[[[[1,0,0,0],[0,1,0,0],[0,0,1,0],[0,0,0,1]],[[-1,0,0,0],[0,-1,0,0],[0,0,1,0],[0,0,0,1]]],[[[1,0,0,0],[0,1,0,0],[0,0,1,0],[0,0,0,1]]]]\"\n4,\"[[[[1,0,0,0],[0,1,0,0],[0,0,1,0],[0,0,0,1]],[[1,0,0,0],[0,1,0,0],[0,0,-1,0],[0,0,0,1]]],[[[1,0,0,0],[0,1,0,0],[0,0,1,0],[0,0,0,1]]]]\"\n5,\"[[[[1,0,0,0],[0,1,0,0],[0,0,1,0],[0,0,0,1]],[[1,0,0,0],[0,1,0,0],[0,0,-1,0],[0,0,0,1]],[[-1,0,0,0],[0,-1,0,0],[0,0,1,0],[0,0,0,1]],[[-1,0,0,0],[0,-1,0,0],[0,0,-1,0],[0,0,0,1]]],[[[1,0,0,0],[0,1,0,0],[0,0,1,0],[0,0,0,1]],[[-1,0,0,0],[0,-1,0,0],[0,0,1,0],[0,0,0,1]]],[[[1,0,0,0],[0,1,0,0],[0,0,1,0],[0,0,0,1]],[[1,0,0,0],[0,1,0,0],[0,0,-1,0],[0,0,0,1]]],[[[1,0,0,0],[0,1,0,0],[0,0,1,0],[0,0,0,1]]]]\"\n6,\"[[[[1,0,0,0],[0,1,0,0],[0,0,1,0],[0,0,0,1]],[[1,0,0,0],[0,-1,0,0],[0,0,-1,0],[0,0,0,1]],[[-1,0,0,0],[0,-1,0,0],[0,0,1,0],[0,0,0,1]],[[-1,0,0,0],[0,1,0,0],[0,0,-1,0],[0,0,0,1]]],[[[1,0,0,0],[0,1,0,0],[0,0,1,0],[0,0,0,1]],[[1,0,0,0],[0,-1,0,0],[0,0,-1,0],[0,0,0,1]]],[[[1,0,0,0],[0,1,0,0],[0,0,1,0],[0,0,0,1]],[[-1,0,0,0],[0,-1,0,0],[0,0,1,0],[0,0,0,1]]],[[[1,0,0,0],[0,1,0,0],[0,0,1,0],[0,0,0,1]],[[1,0,0,0],[0,-1,0,0],[0,0,-1,0],[0,0,0,1]]],[[[1,0,0,0],[0,1,0,0],[0,0,1,0],[0,0,0,1]]]]\"\n7,\"[[[[1,0,0,0],[0,1,0,0],[0,0,1,0],[0,0,0,1]],[[-1,0,0,0],[0,1,0,0],[0,0,1,0],[0,0,0,1]],[[-1,0,0,0],[0,-1,0,0],[0,0,1,0],[0,0,0,1]],[[1,0,0,0],[0,-1,0,0],[0,0,1,0],[0,0,0,1]]],[[[1,0,0,0],[0,1,0,0],[0,0,1,0],[0,0,0,1]],[[-1,0,0,0],[0,-1,0,0],[0,0,1,0],[0,0,0,1]]],[[[1,0,0,0],[0,1,0,0],[0,0,1,0],[0,0,0,1]],[[-1,0,0,0],[0,1,0,0],[0,0,1,0],[0,0,0,1]]],[[[1,0,0,0],[0,1,0,0],[0,0,1,0],[0,0,0,1]]]]\"\n8,\"[[[[1,0,0,0],[0,1,0,0],[0,0,1,0],[0,0,0,1]],[[1,0,0,0],[0,-1,0,0],[0,0,-1,0],[0,0,0,1]],[[1,0,0,0],[0,1,0,0],[0,0,-1,0],[0,0,0,1]],[[-1,0,0,0],[0,-1,0,0],[0,0,1,0],[0,0,0,1]],[[-1,0,0,0],[0,1,0,0],[0,0,-1,0],[0,0,0,1]],[[-1,0,0,0],[0,-1,0,0],[0,0,-1,0],[0,0,0,1]],[[1,0,0,0],[0,-1,0,0],[0,0,1,0],[0,0,0,1]],[[-1,0,0,0],[0,1,0,0],[0,0,1,0],[0,0,0,1]]],[[[1,0,0,0],[0,1,0,0],[0,0,1,0],[0,0,0,1]],[[-1,0,0,0],[0,1,0,0],[0,0,-1,0],[0,0,0,1]],[[-1,0,0,0],[0,-1,0,0],[0,0,1,0],[0,0,0,1]],[[1,0,0,0],[0,-1,0,0],[0,0,-1,0],[0,0,0,1]]],[[[1,0,0,0],[0,1,0,0],[0,0,1,0],[0,0,0,1]],[[-1,0,0,0],[0,1,0,0],[0,0,-1,0],[0,0,0,1]],[[-1,0,0,0],[0,-1,0,0],[0,0,1,0],[0,0,0,1]],[[1,0,0,0],[0,-1,0,0],[0,0,-1,0],[0,0,0,1]]],[[[1,0,0,0],[0,1,0,0],[0,0,1,0],[0,0,0,1]],[[1,0,0,0],[0,1,0,0],[0,0,-1,0],[0,0,0,1]],[[1,0,0,0],[0,-1,0,0],[0,0,-1,0],[0,0,0,1]],[[-1,0,0,0],[0,-1,0,0],[0,0,1,0],[0,0,0,1]]],[[[1,0,0,0],[0,1,0,0],[0,0,1,0],[0,0,0,1]],[[1,0,0,0],[0,-1,0,0],[0,0,-1,0],[0,0,0,1]]],[[[1,0,0,0],[0,1,0,0],[0,0,1,0],[0,0,0,1]],[[-1,0,0,0],[0,-1,0,0],[0,0,1,0],[0,0,0,1]]],[[[1,0,0,0],[0,1,0,0],[0,0,1,0],[0,0,0,1]],[[1,0,0,0],[0,-1,0,0],[0,0,-1,0],[0,0,0,1]]],[[[1,0,0,0],[0,1,0,0],[0,0,1,0],[0,0,0,1]]]]\"\n9,\"[[[[1,0,0,0],[0,1,0,0],[0,0,1,0],[0,0,0,1]],[[-1,0,0,0],[0,-1,0,0],[0,0,1,0],[0,0,0,1]],[[0,1,0,0],[-1,0,0,0],[0,0,1,0],[0,0,0,1]],[[0,-1,0,0],[1,0,0,0],[0,0,1,0],[0,0,0,1]]],[[[1,0,0,0],[0,1,0,0],[0,0,1,0],[0,0,0,1]]]]\"\n10,\"[[[[1,0,0,0],[0,1,0,0],[0,0,1,0],[0,0,0,1]],[[-1,0,0,0],[0,-1,0,0],[0,0,1,0],[0,0,0,1]],[[0,1,0,0],[-1,0,0,0],[0,0,-1,0],[0,0,0,1]],[[0,-1,0,0],[1,0,0,0],[0,0,-1,0],[0,0,0,1]]],[[[1,0,0,0],[0,1,0,0],[0,0,1,0],[0,0,0,1]],[[0,1,0,0],[-1,0,0,0],[0,0,-1,0],[0,0,0,1]]],[[[1,0,0,0],[0,1,0,0],[0,0,1,0],[0,0,0,1]]]]\"\n11,\"[[[[1,0,0,0],[0,1,0,0],[0,0,1,0],[0,0,0,1]],[[1,0,0,0],[0,1,0,0],[0,0,-1,0],[0,0,0,1]],[[-1,0,0,0],[0,-1,0,0],[0,0,1,0],[0,0,0,1]],[[0,-1,0,0],[1,0,0,0],[0,0,-1,0],[0,0,0,1]],[[0,-1,0,0],[1,0,0,0],[0,0,1,0],[0,0,0,1]],[[0,1,0,0],[-1,0,0,0],[0,0,1,0],[0,0,0,1]],[[-1,0,0,0],[0,-1,0,0],[0,0,-1,0],[0,0,0,1]],[[0,1,0,0],[-1,0,0,0],[0,0,-1,0],[0,0,0,1]]],[[[1,0,0,0],[0,1,0,0],[0,0,1,0],[0,0,0,1]],[[0,-1,0,0],[1,0,0,0],[0,0,-1,0],[0,0,0,1]],[[-1,0,0,0],[0,-1,0,0],[0,0,1,0],[0,0,0,1]],[[0,1,0,0],[-1,0,0,0],[0,0,1,0],[0,0,0,1]]],[[[1,0,0,0],[0,1,0,0],[0,0,1,0],[0,0,0,1]],[[1,0,0,0],[0,1,0,0],[0,0,-1,0],[0,0,0,1]]],[[[1,0,0,0],[0,1,0,0],[0,0,1,0],[0,0,0,1]]]]\"\n12,\"[[[[1,0,0,0],[0,1,0,0],[0,0,1,0],[0,0,0,1]],[[1,0,0,0],[0,-1,0,0],[0,0,-1,0],[0,0,0,1]],[[-1,0,0,0],[0,-1,0,0],[0,0,1,0],[0,0,0,1]],[[0,1,0,0],[1,0,0,0],[0,0,-1,0],[0,0,0,1]],[[0,-1,0,0],[-1,0,0,0],[0,0,-1,0],[0,0,0,1]],[[0,-1,0,0],[1,0,0,0],[0,0,1,0],[0,0,0,1]],[[0,1,0,0],[-1,0,0,0],[0,0,1,0],[0,0,0,1]],[[-1,0,0,0],[0,1,0,0],[0,0,-1,0],[0,0,0,1]]],[[[1,0,0,0],[0,1,0,0],[0,0,1,0],[0,0,0,1]],[[-1,0,0,0],[0,-1,0,0],[0,0,1,0],[0,0,0,1]],[[1,0,0,0],[0,-1,0,0],[0,0,-1,0],[0,0,0,1]],[[0,1,0,0],[-1,0,0,0],[0,0,1,0],[0,0,0,1]]],[[[1,0,0,0],[0,1,0,0],[0,0,1,0],[0,0,0,1]],[[0,1,0,0],[1,0,0,0],[0,0,-1,0],[0,0,0,1]],[[-1,0,0,0],[0,-1,0,0],[0,0,1,0],[0,0,0,1]],[[0,-1,0,0],[-1,0,0,0],[0,0,-1,0],[0,0,0,1]]],[[[1,0,0,0],[0,1,0,0],[0,0,1,0],[0,0,0,1]],[[1,0,0,0],[0,-1,0,0],[0,0,-1,0],[0,0,0,1]]],[[[1,0,0,0],[0,1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],[0,0,1,0],[0,0,0,1]],[[-0.7071067811865478,0.7071067811865472,0,0],[-0.7071067811865472,-0.7071067811865478,0,0],[0,0,1,0],[0,0,0,1]],[[0,1,0,0],[-1,0,0,0],[0,0,1,0],[0,0,0,1]],[[0.707106781186547,0.7071067811865478,0,0],[-0.7071067811865479,0.7071067811865471,0,0],[0,0,1,0],[0,0,0,1]],[[0.7071067811865476,-0.7071067811865475,0,0],[0.7071067811865475,0.7071067811865476,0,0],[0,0,1,0],[0,0,0,1]]],[[[1,0,0,0],[0,1,0,0],[0,0,1,0],[0,0,0,1]]]]\"\n36,\"[[[[1,0,0,0],[0,1,0,0],[0,0,1,0],[0,0,0,1]],[[1,0,0,0],[0,-1,0,0],[0,0,-1,0],[0,0,0,1]],[[-0.8090169943749473,-0.5877852522924731,0,0],[0.5877852522924731,-0.8090169943749473,0,0],[0,0,1,0],[0,0,0,1]],[[0.30901699437494745,0.9510565162951535,0,0],[0.9510565162951535,-0.30901699437494745,0,0],[0,0,-1,0],[0,0,0,1]],[[0.30901699437494745,-0.9510565162951535,0,0],[-0.9510565162951535,-0.30901699437494745,0,0],[0,0,-1,0],[0,0,0,1]],[[0.30901699437494745,-0.9510565162951535,0,0],[0.9510565162951535,0.30901699437494745,0,0],[0,0,1,0],[0,0,0,1]],[[-0.8090169943749475,0.587785252292473,0,0],[-0.587785252292473,-0.8090169943749475,0,0],[0,0,1,0],[0,0,0,1]],[[-0.8090169943749473,0.5877852522924731,0,0],[0.5877852522924731,0.8090169943749473,0,0],[0,0,-1,0],[0,0,0,1]],[[-0.8090169943749473,-0.5877852522924731,0,0],[-0.5877852522924731,0.8090169943749473,0,0],[0,0,-1,0],[0,0,0,1]],[[0.30901699437494745,0.9510565162951535,0,0],[-0.9510565162951535,0.30901699437494745,0,0],[0,0,1,0],[0,0,0,1]]],[[[1,0,0,0],[0,1,0,0],[0,0,1,0],[0,0,0,1]],[[0.30901699437494745,0.9510565162951535,0,0],[0.9510565162951535,-0.30901699437494745,0,0],[0,0,-1,0],[0,0,0,1]],[[0.30901699437494745,-0.9510565162951535,0,0],[0.9510565162951535,0.30901699437494745,0,0],[0,0,1,0],[0,0,0,1]],[[1,0,0,0],[0,-1,0,0],[0,0,-1,0],[0,0,0,1]],[[-0.8090169943749473,-0.5877852522924731,0,0],[0.5877852522924731,-0.8090169943749473,0,0],[0,0,1,0],[0,0,0,1]]],[[[1,0,0,0],[0,1,0,0],[0,0,1,0],[0,0,0,1]],[[1,0,0,0],[0,-1,0,0],[0,0,-1,0],[0,0,0,1]]],[[[1,0,0,0],[0,1,0,0],[0,0,1,0],[0,0,0,1]]]]\"\n37,\"[[[[1,0,0,0],[0,1,0,0],[0,0,1,0],[0,0,0,1]],[[1,0,0,0],[0,-1,0,0],[0,0,-1,0],[0,0,0,1]],[[-0.2225209339563143,-0.9749279121818237,0,0],[0.9749279121818237,-0.22252093395631428,0,0],[0,0,1,0],[0,0,0,1]],[[0.6234898018587336,0.7818314824680298,0,0],[0.7818314824680298,-0.6234898018587336,0,0],[0,0,-1,0],[0,0,0,1]],[[0.6234898018587336,-0.7818314824680298,0,0],[-0.7818314824680298,-0.6234898018587336,0,0],[0,0,-1,0],[0,0,0,1]],[[0.6234898018587336,-0.7818314824680298,0,0],[0.7818314824680298,0.6234898018587336,0,0],[0,0,1,0],[0,0,0,1]],[[-0.9009688679024191,-0.43388373911755834,0,0],[0.43388373911755834,-0.9009688679024191,0,0],[0,0,1,0],[0,0,0,1]],[[-0.2225209339563143,0.9749279121818237,0,0],[0.9749279121818237,0.22252093395631428,0,0],[0,0,-1,0],[0,0,0,1]],[[-0.2225209339563143,-0.9749279121818237,0,0],[-0.9749279121818237,0.22252093395631428,0,0],[0,0,-1,0],[0,0,0,1]],[[0.6234898018587336,0.7818314824680298,0,0],[-0.7818314824680298,0.6234898018587336,0,0],[0,0,1,0],[0,0,0,1]],[[-0.9009688679024194,0.433883739117558,0,0],[-0.433883739117558,-0.9009688679024194,0,0],[0,0,1,0],[0,0,0,1]],[[-0.9009688679024191,0.43388373911755834,0,0],[0.43388373911755834,0.9009688679024191,0,0],[0,0,-1,0],[0,0,0,1]],[[-0.9009688679024191,-0.43388373911755834,0,0],[-0.43388373911755834,0.9009688679024191,0,0],[0,0,-1,0],[0,0,0,1]],[[-0.2225209339563143,0.9749279121818237,0,0],[-0.9749279121818237,-0.22252093395631428,0,0],[0,0,1,0],[0,0,0,1]]],[[[1,0,0,0],[0,1,0,0],[0,0,1,0],[0,0,0,1]],[[0.6234898018587336,0.7818314824680298,0,0],[0.7818314824680298,-0.6234898018587336,0,0],[0,0,-1,0],[0,0,0,1]],[[0.6234898018587336,-0.7818314824680298,0,0],[0.7818314824680298,0.6234898018587336,0,0],[0,0,1,0],[0,0,0,1]],[[1,0,0,0],[0,-1,0,0],[0,0,-1,0],[0,0,0,1]],[[-0.2225209339563143,-0.9749279121818237,0,0],[0.9749279121818237,-0.22252093395631428,0,0],[0,0,1,0],[0,0,0,1]],[[0.6234898018587336,-0.7818314824680298,0,0],[-0.7818314824680298,-0.6234898018587336,0,0],[0,0,-1,0],[0,0,0,1]],[[-0.9009688679024191,-0.43388373911755834,0,0],[0.43388373911755834,-0.9009688679024191,0,0],[0,0,1,0],[0,0,0,1]]],[[[1,0,0,0],[0,1,0,0],[0,0,1,0],[0,0,0,1]],[[1,0,0,0],[0,-1,0,0],[0,0,-1,0],[0,0,0,1]]],[[[1,0,0,0],[0,1,0,0],[0,0,1,0],[0,0,0,1]]]]\"\n38,\"[[[[1,0,0,0],[0,1,0,0],[0,0,1,0],[0,0,0,1]],[[1,0,0,0],[0,-1,0,0],[0,0,-1,0],[0,0,0,1]],[[0,-1,0,0],[1,0,0,0],[0,0,1,0],[0,0,0,1]],[[0.7071067811865476,0.7071067811865475,0,0],[0.7071067811865475,-0.7071067811865476,0,0],[0,0,-1,0],[0,0,0,1]],[[0.7071067811865476,-0.7071067811865475,0,0],[-0.7071067811865475,-0.7071067811865476,0,0],[0,0,-1,0],[0,0,0,1]],[[0.7071067811865476,-0.7071067811865475,0,0],[0.7071067811865475,0.7071067811865476,0,0],[0,0,1,0],[0,0,0,1]],[[-0.7071067811865474,-0.7071067811865477,0,0],[0.7071067811865477,-0.7071067811865474,0,0],[0,0,1,0],[0,0,0,1]],[[0,1,0,0],[1,0,0,0],[0,0,-1,0],[0,0,0,1]],[[0,-1,0,0],[-1,0,0,0],[0,0,-1,0],[0,0,0,1]],[[0.7071067811865476,0.7071067811865475,0,0],[-0.7071067811865475,0.7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  {
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    "content": 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  },
  {
    "path": "pyxtal/database/rod.csv",
    "content": ",0\n0,\n1,\"[['x,y,z']]\"\n2,\"[['x,y,z', '-x,-y,-z'], ['0,0,1/2'], ['0,0,0']]\"\n3,\"[['x,y,z', 'x,-y,-z'], ['x,0,1/2'], ['x,0,0']]\"\n4,\"[['x,y,z', '-x,y,z'], ['0,y,z']]\"\n5,\"[['x,y,z', '-x,y,z+1/2']]\"\n6,\"[['x,y,z', 'x,-y,-z', '-x,-y,-z', '-x,y,z'], ['0,y,z', '0,-y,-z'], ['x,0,1/2', '-x,0,1/2'], ['x,0,0', '-x,0,0'], ['0,0,1/2'], ['0,0,0']]\"\n7,\"[['x,y,z', 'x,-y,-z+1/2', '-x,-y,-z', '-x,y,z+1/2'], ['x,0,1/4', '-x,0,3/4'], ['0,0,0', '0,0,1/2']]\"\n8,\"[['x,y,z', '-x,-y,z'], ['0,0,z']]\"\n9,\"[['x,y,z', '-x,-y,z+1/2']]\"\n10,\"[['x,y,z', 'x,y,-z'], ['x,y,1/2'], ['x,y,0']]\"\n11,\"[['x,y,z', '-x,-y,z', '-x,-y,-z', 'x,y,-z'], ['x,y,1/2', '-x,-y,1/2'], ['x,y,0', '-x,-y,0'], ['0,0,z', '0,0,-z'], ['0,0,1/2'], ['0,0,0']]\"\n12,\"[['x,y,z', '-x,-y,z+1/2', '-x,-y,-z', 'x,y,-z+1/2'], ['x,y,1/4', '-x,-y,3/4'], ['0,0,0', '0,0,1/2']]\"\n13,\"[['x,y,z', '-x,-y,z', '-x,y,-z', 'x,-y,-z'], ['0,0,z', '0,0,-z'], ['0,y,1/2', '0,-y,1/2'], ['0,y,0', '0,-y,0'], ['x,0,1/2', 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'x,-x,11/12', '-x,-2x,3/4', '2x,x,1/12', '-x,x,5/12'], ['x,0,0', '0,x,1/3', '-x,-x,2/3', '-x,0,1/2', '0,-x,5/6', 'x,x,1/6']]\"\n64,\"[['x,y,z', '-y,x-y,z+2/3', '-x+y,-x,z+1/3', '-x,-y,z', 'y,-x+y,z+2/3', 'x-y,x,z+1/3', 'y,x,-z+2/3', 'x-y,-y,-z', '-x,-x+y,-z+1/3', '-y,-x,-z+2/3', '-x+y,y,-z', 'x,x-y,-z+1/3'], ['x,2x,1/2', '-2x,-x,1/6', 'x,-x,5/6', '-x,-2x,1/2', '2x,x,1/6', '-x,x,5/6'], ['x,2x,0', '-2x,-x,2/3', 'x,-x,1/3', '-x,-2x,0', '2x,x,2/3', '-x,x,1/3'], ['x,0,1/2', '0,x,1/6', '-x,-x,5/6', '-x,0,1/2', '0,-x,1/6', 'x,x,5/6'], ['x,0,0', '0,x,2/3', '-x,-x,1/3', '-x,0,0', '0,-x,2/3', 'x,x,1/3'], ['0,0,z', '0,0,z+2/3', '0,0,z+1/3', '0,0,-z+2/3', '0,0,-z', '0,0,-z+1/3'], ['0,0,1/2', '0,0,1/6', '0,0,5/6'], ['0,0,0', '0,0,2/3', '0,0,1/3']]\"\n65,\"[['x,y,z', '-y,x-y,z', '-x+y,-x,z', '-x,-y,z+1/2', 'y,-x+y,z+1/2', 'x-y,x,z+1/2', 'y,x,-z', 'x-y,-y,-z', '-x,-x+y,-z', '-y,-x,-z+1/2', '-x+y,y,-z+1/2', 'x,x-y,-z+1/2'], ['x,2x,1/4', '-2x,-x,1/4', 'x,-x,1/4', '-x,-2x,3/4', '2x,x,3/4', '-x,x,3/4'], ['x,0,0', '0,x,0', '-x,-x,0', '-x,0,1/2', '0,-x,1/2', 'x,x,1/2'], ['0,0,z', '0,0,z+1/2', '0,0,-z', '0,0,-z+1/2'], ['0,0,1/4', '0,0,3/4'], ['0,0,0', '0,0,1/2']]\"\n66,\"[['x,y,z', '-y,x-y,z+1/3', '-x+y,-x,z+2/3', '-x,-y,z', 'y,-x+y,z+1/3', 'x-y,x,z+2/3', 'y,x,-z+1/3', 'x-y,-y,-z', '-x,-x+y,-z+2/3', '-y,-x,-z+1/3', '-x+y,y,-z', 'x,x-y,-z+2/3'], ['x,2x,1/2', '-2x,-x,5/6', 'x,-x,1/6', '-x,-2x,1/2', '2x,x,5/6', '-x,x,1/6'], ['x,2x,0', '-2x,-x,1/3', 'x,-x,2/3', '-x,-2x,0', '2x,x,1/3', '-x,x,2/3'], ['x,0,1/2', '0,x,5/6', '-x,-x,1/6', '-x,0,1/2', '0,-x,5/6', 'x,x,1/6'], ['x,0,0', '0,x,1/3', '-x,-x,2/3', '-x,0,0', '0,-x,1/3', 'x,x,2/3'], ['0,0,z', '0,0,z+1/3', '0,0,z+2/3', '0,0,-z+1/3', '0,0,-z', '0,0,-z+2/3'], ['0,0,1/2', '0,0,5/6', '0,0,1/6'], ['0,0,0', '0,0,1/3', '0,0,2/3']]\"\n67,\"[['x,y,z', '-y,x-y,z+2/3', '-x+y,-x,z+1/3', '-x,-y,z+1/2', 'y,-x+y,z+1/6', 'x-y,x,z+5/6', 'y,x,-z+2/3', 'x-y,-y,-z', '-x,-x+y,-z+1/3', '-y,-x,-z+1/6', '-x+y,y,-z+1/2', 'x,x-y,-z+5/6'], ['x,2x,3/4', '-2x,-x,5/12', 'x,-x,1/12', '-x,-2x,1/4', '2x,x,11/12', '-x,x,7/12'], ['x,0,0', '0,x,2/3', '-x,-x,1/3', '-x,0,1/2', '0,-x,1/6', 'x,x,5/6']]\"\n68,\"[['x,y,z', '-y,x-y,z', '-x+y,-x,z', '-x,-y,z', 'y,-x+y,z', 'x-y,x,z', '-y,-x,z', '-x+y,y,z', 'x,x-y,z', 'y,x,z', 'x-y,-y,z', '-x,-x+y,z'], ['x,-x,z', 'x,2x,z', '-2x,-x,z', '-x,x,z', '-x,-2x,z', '2x,x,z'], ['x,0,z', '0,x,z', '-x,-x,z', '-x,0,z', '0,-x,z', 'x,x,z'], ['0,0,z']]\"\n69,\"[['x,y,z', '-y,x-y,z', '-x+y,-x,z', '-x,-y,z', 'y,-x+y,z', 'x-y,x,z', '-y,-x,z+1/2', '-x+y,y,z+1/2', 'x,x-y,z+1/2', 'y,x,z+1/2', 'x-y,-y,z+1/2', '-x,-x+y,z+1/2'], ['0,0,z', '0,0,z+1/2']]\"\n70,\"[['x,y,z', '-y,x-y,z', '-x+y,-x,z', '-x,-y,z+1/2', 'y,-x+y,z+1/2', 'x-y,x,z+1/2', '-y,-x,z', '-x+y,y,z', 'x,x-y,z', 'y,x,z+1/2', 'x-y,-y,z+1/2', '-x,-x+y,z+1/2'], ['x,-x,z', 'x,2x,z', '-2x,-x,z', '-x,x,z+1/2', '-x,-2x,z+1/2', '2x,x,z+1/2'], ['0,0,z', '0,0,z+1/2']]\"\n71,\"[['x,y,z', '-y,x-y,z', '-x+y,-x,z', 'x,y,-z', '-y,x-y,-z', '-x+y,-x,-z', '-y,-x,z', '-x+y,y,z', 'x,x-y,z', '-y,-x,-z', '-x+y,y,-z', 'x,x-y,-z'], ['x,-x,z', 'x,2x,z', '-2x,-x,z', 'x,-x,-z', 'x,2x,-z', '-2x,-x,-z'], ['x,y,1/2', '-y,x-y,1/2', '-x+y,-x,1/2', '-y,-x,1/2', '-x+y,y,1/2', 'x,x-y,1/2'], ['x,y,0', '-y,x-y,0', '-x+y,-x,0', '-y,-x,0', '-x+y,y,0', 'x,x-y,0'], ['x,-x,1/2', 'x,2x,1/2', '-2x,-x,1/2'], ['x,-x,0', 'x,2x,0', '-2x,-x,0'], ['0,0,z', '0,0,-z'], ['0,0,1/2'], ['0,0,0']]\"\n72,\"[['x,y,z', '-y,x-y,z', '-x+y,-x,z', 'x,y,-z', '-y,x-y,-z', '-x+y,-x,-z', '-y,-x,z+1/2', '-x+y,y,z+1/2', 'x,x-y,z+1/2', '-y,-x,-z+1/2', '-x+y,y,-z+1/2', 'x,x-y,-z+1/2'], ['x,y,0', '-y,x-y,0', '-x+y,-x,0', '-y,-x,1/2', '-x+y,y,1/2', 'x,x-y,1/2'], ['x,-x,1/4', 'x,2x,1/4', '-2x,-x,1/4', 'x,-x,3/4', 'x,2x,3/4', '-2x,-x,3/4'], ['0,0,z', '0,0,-z', '0,0,z+1/2', '0,0,-z+1/2'], ['0,0,0', '0,0,1/2'], ['0,0,1/4', '0,0,3/4']]\"\n73,\"[['x,y,z', '-y,x-y,z', '-x+y,-x,z', '-x,-y,z', 'y,-x+y,z', 'x-y,x,z', 'y,x,-z', 'x-y,-y,-z', '-x,-x+y,-z', '-y,-x,-z', '-x+y,y,-z', 'x,x-y,-z', '-x,-y,-z', 'y,-x+y,-z', 'x-y,x,-z', 'x,y,-z', '-y,x-y,-z', '-x+y,-x,-z', '-y,-x,z', '-x+y,y,z', 'x,x-y,z', 'y,x,z', 'x-y,-y,z', '-x,-x+y,z'], ['x,y,1/2', '-y,x-y,1/2', '-x+y,-x,1/2', '-x,-y,1/2', 'y,-x+y,1/2', 'x-y,x,1/2', 'y,x,1/2', 'x-y,-y,1/2', '-x,-x+y,1/2', '-y,-x,1/2', '-x+y,y,1/2', 'x,x-y,1/2'], ['x,y,0', '-y,x-y,0', '-x+y,-x,0', '-x,-y,0', 'y,-x+y,0', 'x-y,x,0', 'y,x,0', 'x-y,-y,0', '-x,-x+y,0', '-y,-x,0', '-x+y,y,0', 'x,x-y,0'], ['x,2x,z', '-2x,-x,z', 'x,-x,z', '-x,-2x,z', '2x,x,z', '-x,x,z', '2x,x,-z', '-x,-2x,-z', '-x,x,-z', '-2x,-x,-z', 'x,2x,-z', 'x,-x,-z'], ['x,0,z', '0,x,z', '-x,-x,z', '-x,0,z', '0,-x,z', 'x,x,z', '0,x,-z', 'x,0,-z', '-x,-x,-z', '0,-x,-z', '-x,0,-z', 'x,x,-z'], ['x,2x,1/2', '-2x,-x,1/2', 'x,-x,1/2', '-x,-2x,1/2', '2x,x,1/2', '-x,x,1/2'], ['x,2x,0', '-2x,-x,0', 'x,-x,0', '-x,-2x,0', '2x,x,0', '-x,x,0'], ['x,0,1/2', '0,x,1/2', '-x,-x,1/2', '-x,0,1/2', '0,-x,1/2', 'x,x,1/2'], ['x,0,0', '0,x,0', '-x,-x,0', '-x,0,0', '0,-x,0', 'x,x,0'], ['0,0,z', '0,0,-z'], ['0,0,1/2'], ['0,0,0']]\"\n74,\"[['x,y,z', '-y,x-y,z', '-x+y,-x,z', '-x,-y,z', 'y,-x+y,z', 'x-y,x,z', 'y,x,-z+1/2', 'x-y,-y,-z+1/2', '-x,-x+y,-z+1/2', '-y,-x,-z+1/2', '-x+y,y,-z+1/2', 'x,x-y,-z+1/2', '-x,-y,-z', 'y,-x+y,-z', 'x-y,x,-z', 'x,y,-z', '-y,x-y,-z', '-x+y,-x,-z', '-y,-x,z+1/2', '-x+y,y,z+1/2', 'x,x-y,z+1/2', 'y,x,z+1/2', 'x-y,-y,z+1/2', '-x,-x+y,z+1/2'], ['x,y,0', '-y,x-y,0', '-x+y,-x,0', '-x,-y,0', 'y,-x+y,0', 'x-y,x,0', 'y,x,1/2', 'x-y,-y,1/2', '-x,-x+y,1/2', '-y,-x,1/2', '-x+y,y,1/2', 'x,x-y,1/2'], ['x,2x,1/4', '-2x,-x,1/4', 'x,-x,1/4', '-x,-2x,1/4', '2x,x,1/4', '-x,x,1/4', '2x,x,3/4', '-x,-2x,3/4', '-x,x,3/4', '-2x,-x,3/4', 'x,2x,3/4', 'x,-x,3/4'], ['x,0,1/4', '0,x,1/4', '-x,-x,1/4', '-x,0,1/4', '0,-x,1/4', 'x,x,1/4', '-x,0,3/4', '0,-x,3/4', 'x,x,3/4', 'x,0,3/4', '0,x,3/4', '-x,-x,3/4'], ['0,0,z', '0,0,-z+1/2', '0,0,-z', '0,0,z+1/2'], ['0,0,0', '0,0,1/2'], ['0,0,1/4', '0,0,3/4']]\"\n75,\"[['x,y,z', '-y,x-y,z', '-x+y,-x,z', '-x,-y,z+1/2', 'y,-x+y,z+1/2', 'x-y,x,z+1/2', 'y,x,-z', 'x-y,-y,-z', '-x,-x+y,-z', '-y,-x,-z+1/2', '-x+y,y,-z+1/2', 'x,x-y,-z+1/2', '-x,-y,-z', 'y,-x+y,-z', 'x-y,x,-z', 'x,y,-z+1/2', '-y,x-y,-z+1/2', '-x+y,-x,-z+1/2', '-y,-x,z', '-x+y,y,z', 'x,x-y,z', 'y,x,z+1/2', 'x-y,-y,z+1/2', '-x,-x+y,z+1/2'], ['x,2x,z', '-2x,-x,z', 'x,-x,z', '-x,-2x,z+1/2', '2x,x,z+1/2', '-x,x,z+1/2', '2x,x,-z', '-x,-2x,-z', '-x,x,-z', '-2x,-x,-z+1/2', 'x,2x,-z+1/2', 'x,-x,-z+1/2'], ['x,y,1/4', '-y,x-y,1/4', '-x+y,-x,1/4', '-x,-y,3/4', 'y,-x+y,3/4', 'x-y,x,3/4', 'y,x,3/4', 'x-y,-y,3/4', '-x,-x+y,3/4', '-y,-x,1/4', '-x+y,y,1/4', 'x,x-y,1/4'], ['x,0,0', '0,x,0', '-x,-x,0', '-x,0,1/2', '0,-x,1/2', 'x,x,1/2', '-x,0,0', '0,-x,0', 'x,x,0', 'x,0,1/2', '0,x,1/2', '-x,-x,1/2'], ['x,2x,1/4', '-2x,-x,1/4', 'x,-x,1/4', '-x,-2x,3/4', '2x,x,3/4', '-x,x,3/4'], ['0,0,z', '0,0,z+1/2', '0,0,-z', '0,0,-z+1/2'], ['0,0,1/4', '0,0,3/4'], ['0,0,0', '0,0,1/2']]\"\n"
  },
  {
    "path": "pyxtal/database/rod_generators.csv",
    "content": ",0\n0,\n1,\"[['x, y, z']]\"\n2,\"[['x, y, z', '-x, -y, -z'], ['x, y, z'], ['x, y, z']]\"\n3,\"[['x, y, z', 'x, -y, -z'], ['x, y, z'], ['x, y, z']]\"\n4,\"[['x, y, z', '-x, y, z'], ['x, y, z']]\"\n5,\"[['x, y, z', '-x, y, z+1/2']]\"\n6,\"[['x, y, z', 'x, -y, -z', '-x, -y, -z', '-x, y, z'], ['x, y, z', 'x, -y, -z'], ['x, y, z', '-x, -y, -z'], ['x, y, z', '-x, -y, -z'], ['x, y, z'], ['x, y, z']]\"\n7,\"[['x, y, z', 'x, -y, -z+1/2', '-x, -y, -z', '-x, y, z+1/2'], ['x, y, z', '-x, -y, -z'], ['x, y, z', 'x, -y, -z+1/2']]\"\n8,\"[['x, y, z', '-x, -y, z'], ['x, y, z']]\"\n9,\"[['x, y, z', '-x, -y, z+1/2']]\"\n10,\"[['x, y, z', 'x, y, -z'], ['x, y, z'], ['x, y, z']]\"\n11,\"[['x, y, z', '-x, -y, z', '-x, -y, -z', 'x, y, -z'], ['x, y, z', '-x, -y, z'], ['x, y, z', '-x, -y, z'], ['x, y, z', '-x, -y, -z'], ['x, y, z'], ['x, y, z']]\"\n12,\"[['x, y, z', '-x, -y, z+1/2', '-x, -y, -z', 'x, y, -z+1/2'], ['x, y, z', '-x, -y, z+1/2'], ['x, y, z', '-x, -y, z+1/2']]\"\n13,\"[['x, y, z', 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'-x+y, y, -z+2/3', 'x, x-y, -z'], ['x, y, z', '-y, x-y, z+2/3', '-x+y, -x, z+1/3'], ['x, y, z', '-y, x-y, z+2/3', '-x+y, -x, z+1/3']]\"\n49,\"[['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-y, -x, z', '-x+y, y, z', 'x, x-y, z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z'], ['x, y, z']]\"\n50,\"[['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-y, -x, z+1/2', '-x+y, y, z+1/2', 'x, x-y, z+1/2'], ['x, y, z', '-y, -x, z+1/2']]\"\n51,\"[['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-y, -x, -z', '-x+y, y, -z', 'x, x-y, -z', '-x, -y, -z', 'y, -x+y, -z', 'x-y, x, -z', 'y, x, z', 'x-y, -y, z', '-x, -x+y, z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-y, -x, -z', '-x+y, y, -z', 'x, x-y, -z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, -z', 'y, -x+y, -z', 'x-y, x, -z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, -z', 'y, -x+y, -z', 'x-y, x, -z'], ['x, y, z', '-y, -x, -z'], ['x, y, z'], ['x, y, z']]\"\n52,\"[['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-y, -x, -z+1/2', '-x+y, y, -z+1/2', 'x, x-y, -z+1/2', '-x, -y, -z', 'y, -x+y, -z', 'x-y, x, -z', 'y, x, z+1/2', 'x-y, -y, z+1/2', '-x, -x+y, z+1/2'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, -z', 'y, -x+y, -z', 'x-y, x, -z'], ['x, y, z', '-y, -x, -z+1/2', '-x, -y, -z', 'y, x, z+1/2'], ['x, y, z', '-y, -x, -z+1/2'], ['x, y, z', '-x, -y, -z']]\"\n53,\"[['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, z', 'y, -x+y, z', 'x-y, x, z'], ['x, y, z']]\"\n54,\"[['x, y, z', '-y, x-y, z+1/3', '-x+y, -x, z+2/3', '-x, -y, z+1/2', 'y, -x+y, z+5/6', 'x-y, x, z+1/6']]\"\n55,\"[['x, y, z', '-y, x-y, z+2/3', '-x+y, -x, z+1/3', '-x, -y, z', 'y, -x+y, z+2/3', 'x-y, x, z+1/3'], ['x, y, z', '-y, x-y, z+2/3', '-x+y, -x, z+1/3']]\"\n56,\"[['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, z+1/2', 'y, -x+y, z+1/2', 'x-y, x, z+1/2'], ['x, y, z', '-x, -y, z+1/2']]\"\n57,\"[['x, y, z', '-y, x-y, z+1/3', '-x+y, -x, z+2/3', '-x, -y, z', 'y, -x+y, z+1/3', 'x-y, x, z+2/3'], ['x, y, z', '-y, x-y, z+1/3', '-x+y, -x, z+2/3']]\"\n58,\"[['x, y, z', '-y, x-y, z+2/3', '-x+y, -x, z+1/3', '-x, -y, z+1/2', 'y, -x+y, z+1/6', 'x-y, x, z+5/6']]\"\n59,\"[['x, y, z', '-y, x-y, z', '-x+y, -x, z', 'x, y, -z', '-y, x-y, -z', '-x+y, -x, -z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z'], ['x, y, z', 'x, y, -z'], ['x, y, z'], ['x, y, z']]\"\n60,\"[['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, z', 'y, -x+y, z', 'x-y, x, z', '-x, -y, -z', 'y, -x+y, -z', 'x-y, x, -z', 'x, y, -z', '-y, x-y, -z', '-x+y, -x, -z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, z', 'y, -x+y, z', 'x-y, x, z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, z', 'y, -x+y, z', 'x-y, x, z'], ['x, y, z', '-x, -y, -z'], ['x, y, z'], ['x, y, z']]\"\n61,\"[['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, z+1/2', 'y, -x+y, z+1/2', 'x-y, x, z+1/2', '-x, -y, -z', 'y, -x+y, -z', 'x-y, x, -z', 'x, y, -z+1/2', '-y, x-y, -z+1/2', '-x+y, -x, -z+1/2'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, z+1/2', 'y, -x+y, z+1/2', 'x-y, x, z+1/2'], ['x, y, z', '-x, -y, z+1/2', '-x, -y, -z', 'x, y, -z+1/2'], ['x, y, z', '-x, -y, z+1/2'], ['x, y, z', '-x, -y, z+1/2']]\"\n62,\"[['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, z', 'y, -x+y, z', 'x-y, x, z', 'y, x, -z', 'x-y, -y, -z', '-x, -x+y, -z', '-y, -x, -z', '-x+y, y, -z', 'x, x-y, -z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, z', 'y, -x+y, z', 'x-y, x, z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, z', 'y, -x+y, z', 'x-y, x, z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, z', 'y, -x+y, z', 'x-y, x, z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, z', 'y, -x+y, z', 'x-y, x, z'], ['x, y, z', 'y, x, -z'], ['x, y, z'], ['x, y, z']]\"\n63,\"[['x, y, z', '-y, x-y, z+1/3', '-x+y, -x, z+2/3', '-x, -y, z+1/2', 'y, -x+y, z+5/6', 'x-y, x, z+1/6', 'y, x, -z+1/3', 'x-y, -y, -z', '-x, -x+y, -z+2/3', '-y, -x, -z+5/6', '-x+y, y, -z+1/2', 'x, x-y, -z+1/6'], ['x, y, z', '-y, x-y, z+1/3', '-x+y, -x, z+2/3', '-x, -y, z+1/2', 'y, -x+y, z+5/6', 'x-y, x, z+1/6'], ['x, y, z', '-y, x-y, z+1/3', '-x+y, -x, z+2/3', '-x, -y, z+1/2', 'y, -x+y, z+5/6', 'x-y, x, z+1/6']]\"\n64,\"[['x, y, z', '-y, x-y, z+2/3', '-x+y, -x, z+1/3', '-x, -y, z', 'y, -x+y, z+2/3', 'x-y, x, z+1/3', 'y, x, -z+2/3', 'x-y, -y, -z', '-x, -x+y, -z+1/3', '-y, -x, -z+2/3', '-x+y, y, -z', 'x, x-y, -z+1/3'], ['x, y, z', '-y, x-y, z+2/3', '-x+y, -x, z+1/3', '-x, -y, z', 'y, -x+y, z+2/3', 'x-y, x, z+1/3'], ['x, y, z', '-y, x-y, z+2/3', '-x+y, -x, z+1/3', '-x, -y, z', 'y, -x+y, z+2/3', 'x-y, x, z+1/3'], ['x, y, z', '-y, x-y, z+2/3', '-x+y, -x, z+1/3', '-x, -y, z', 'y, -x+y, z+2/3', 'x-y, x, z+1/3'], ['x, y, z', '-y, x-y, z+2/3', '-x+y, -x, z+1/3', '-x, -y, z', 'y, -x+y, z+2/3', 'x-y, x, z+1/3'], ['x, y, z', '-y, x-y, z+2/3', '-x+y, -x, z+1/3', 'y, x, -z+2/3', 'x-y, -y, -z', '-x, -x+y, -z+1/3'], ['x, y, z', '-y, x-y, z+2/3', '-x+y, -x, z+1/3'], ['x, y, z', '-y, x-y, z+2/3', '-x+y, -x, z+1/3']]\"\n65,\"[['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, z+1/2', 'y, -x+y, z+1/2', 'x-y, x, z+1/2', 'y, x, -z', 'x-y, -y, -z', '-x, -x+y, -z', '-y, -x, -z+1/2', '-x+y, y, -z+1/2', 'x, x-y, -z+1/2'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, z+1/2', 'y, -x+y, z+1/2', 'x-y, x, z+1/2'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, z+1/2', 'y, -x+y, z+1/2', 'x-y, x, z+1/2'], ['x, y, z', '-x, -y, z+1/2', 'y, x, -z', '-y, -x, -z+1/2'], ['x, y, z', '-x, -y, z+1/2'], ['x, y, z', '-x, -y, z+1/2']]\"\n66,\"[['x, y, z', '-y, x-y, z+1/3', '-x+y, -x, z+2/3', '-x, -y, z', 'y, -x+y, z+1/3', 'x-y, x, z+2/3', 'y, x, -z+1/3', 'x-y, -y, -z', '-x, -x+y, -z+2/3', '-y, -x, -z+1/3', '-x+y, y, -z', 'x, x-y, -z+2/3'], ['x, y, z', '-y, x-y, z+1/3', '-x+y, -x, z+2/3', '-x, -y, z', 'y, -x+y, z+1/3', 'x-y, x, z+2/3'], ['x, y, z', '-y, x-y, z+1/3', '-x+y, -x, z+2/3', '-x, -y, z', 'y, -x+y, z+1/3', 'x-y, x, z+2/3'], ['x, y, z', '-y, x-y, z+1/3', '-x+y, -x, z+2/3', '-x, -y, z', 'y, -x+y, z+1/3', 'x-y, x, z+2/3'], ['x, y, z', '-y, x-y, z+1/3', '-x+y, -x, z+2/3', '-x, -y, z', 'y, -x+y, z+1/3', 'x-y, x, z+2/3'], ['x, y, z', '-y, x-y, z+1/3', '-x+y, -x, z+2/3', 'y, x, -z+1/3', 'x-y, -y, -z', '-x, -x+y, -z+2/3'], ['x, y, z', '-y, x-y, z+1/3', '-x+y, -x, z+2/3'], ['x, y, z', '-y, x-y, z+1/3', '-x+y, -x, z+2/3']]\"\n67,\"[['x, y, z', '-y, x-y, z+2/3', '-x+y, -x, z+1/3', '-x, -y, z+1/2', 'y, -x+y, z+1/6', 'x-y, x, z+5/6', 'y, x, -z+2/3', 'x-y, -y, -z', '-x, -x+y, -z+1/3', '-y, -x, -z+1/6', '-x+y, y, -z+1/2', 'x, x-y, -z+5/6'], ['x, y, z', '-y, x-y, z+2/3', '-x+y, -x, z+1/3', '-x, -y, z+1/2', 'y, -x+y, z+1/6', 'x-y, x, z+5/6'], ['x, y, z', '-y, x-y, z+2/3', '-x+y, -x, z+1/3', '-x, -y, z+1/2', 'y, -x+y, z+1/6', 'x-y, x, z+5/6']]\"\n68,\"[['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, z', 'y, -x+y, z', 'x-y, x, z', '-y, -x, z', '-x+y, y, z', 'x, x-y, z', 'y, x, z', 'x-y, -y, z', '-x, -x+y, z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, z', 'y, -x+y, z', 'x-y, x, z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, z', 'y, -x+y, z', 'x-y, x, z'], ['x, y, z']]\"\n69,\"[['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, z', 'y, -x+y, z', 'x-y, x, z', '-y, -x, z+1/2', '-x+y, y, z+1/2', 'x, x-y, z+1/2', 'y, x, z+1/2', 'x-y, -y, z+1/2', '-x, -x+y, z+1/2'], ['x, y, z', '-y, -x, z+1/2']]\"\n70,\"[['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, z+1/2', 'y, -x+y, z+1/2', 'x-y, x, z+1/2', '-y, -x, z', '-x+y, y, z', 'x, x-y, z', 'y, x, z+1/2', 'x-y, -y, z+1/2', '-x, -x+y, z+1/2'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, z+1/2', 'y, -x+y, z+1/2', 'x-y, x, z+1/2'], ['x, y, z', '-x, -y, z+1/2']]\"\n71,\"[['x, y, z', '-y, x-y, z', '-x+y, -x, z', 'x, y, -z', '-y, x-y, -z', '-x+y, -x, -z', '-y, -x, z', '-x+y, y, z', 'x, x-y, z', '-y, -x, -z', '-x+y, y, -z', 'x, x-y, -z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', 'x, y, -z', '-y, x-y, -z', '-x+y, -x, -z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-y, -x, z', '-x+y, y, z', 'x, x-y, z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-y, -x, z', '-x+y, y, z', 'x, x-y, z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z'], ['x, y, z', 'x, y, -z'], ['x, y, z'], ['x, y, z']]\"\n72,\"[['x, y, z', '-y, x-y, z', '-x+y, -x, z', 'x, y, -z', '-y, x-y, -z', '-x+y, -x, -z', '-y, -x, z+1/2', '-x+y, y, z+1/2', 'x, x-y, z+1/2', '-y, -x, -z+1/2', '-x+y, y, -z+1/2', 'x, x-y, -z+1/2'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-y, -x, z+1/2', '-x+y, y, z+1/2', 'x, x-y, z+1/2'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', 'x, y, -z', '-y, x-y, -z', '-x+y, -x, -z'], ['x, y, z', 'x, y, -z', '-y, -x, z+1/2', '-y, -x, -z+1/2'], ['x, y, z', '-y, -x, z+1/2'], ['x, y, z', 'x, y, -z']]\"\n73,\"[['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, z', 'y, -x+y, z', 'x-y, x, z', 'y, x, -z', 'x-y, -y, -z', '-x, -x+y, -z', '-y, -x, -z', '-x+y, y, -z', 'x, x-y, -z', '-x, -y, -z', 'y, -x+y, -z', 'x-y, x, -z', 'x, y, -z', '-y, x-y, -z', '-x+y, -x, -z', '-y, -x, z', '-x+y, y, z', 'x, x-y, z', 'y, x, z', 'x-y, -y, z', '-x, -x+y, z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, z', 'y, -x+y, z', 'x-y, x, z', 'y, x, -z', 'x-y, -y, -z', '-x, -x+y, -z', '-y, -x, -z', '-x+y, y, -z', 'x, x-y, -z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, z', 'y, -x+y, z', 'x-y, x, z', 'y, x, -z', 'x-y, -y, -z', '-x, -x+y, -z', '-y, -x, -z', '-x+y, y, -z', 'x, x-y, -z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, z', 'y, -x+y, z', 'x-y, x, z', 'y, x, -z', 'x-y, -y, -z', '-x, -x+y, -z', '-y, -x, -z', '-x+y, y, -z', 'x, x-y, -z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, z', 'y, -x+y, z', 'x-y, x, z', 'y, x, -z', 'x-y, -y, -z', '-x, -x+y, -z', '-y, -x, -z', '-x+y, y, -z', 'x, x-y, -z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, z', 'y, -x+y, z', 'x-y, x, z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, z', 'y, -x+y, z', 'x-y, x, z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, z', 'y, -x+y, z', 'x-y, x, z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, z', 'y, -x+y, z', 'x-y, x, z'], ['x, y, z', 'y, x, -z'], ['x, y, z'], ['x, y, z']]\"\n74,\"[['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, z', 'y, -x+y, z', 'x-y, x, z', 'y, x, -z+1/2', 'x-y, -y, -z+1/2', '-x, -x+y, -z+1/2', '-y, -x, -z+1/2', '-x+y, y, -z+1/2', 'x, x-y, -z+1/2', '-x, -y, -z', 'y, -x+y, -z', 'x-y, x, -z', 'x, y, -z', '-y, x-y, -z', '-x+y, -x, -z', '-y, -x, z+1/2', '-x+y, y, z+1/2', 'x, x-y, z+1/2', 'y, x, z+1/2', 'x-y, -y, z+1/2', '-x, -x+y, z+1/2'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, z', 'y, -x+y, z', 'x-y, x, z', 'y, x, -z+1/2', 'x-y, -y, -z+1/2', '-x, -x+y, -z+1/2', '-y, -x, -z+1/2', '-x+y, y, -z+1/2', 'x, x-y, -z+1/2'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, z', 'y, -x+y, z', 'x-y, x, z', '-x, -y, -z', 'y, -x+y, -z', 'x-y, x, -z', 'x, y, -z', '-y, x-y, -z', '-x+y, -x, -z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, z', 'y, -x+y, z', 'x-y, x, z', '-x, -y, -z', 'y, -x+y, -z', 'x-y, x, -z', 'x, y, -z', '-y, x-y, -z', '-x+y, -x, -z'], ['x, y, z', 'y, x, -z+1/2', '-x, -y, -z', '-y, -x, z+1/2'], ['x, y, z', 'y, x, -z+1/2'], ['x, y, z', '-x, -y, -z']]\"\n75,\"[['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, z+1/2', 'y, -x+y, z+1/2', 'x-y, x, z+1/2', 'y, x, -z', 'x-y, -y, -z', '-x, -x+y, -z', '-y, -x, -z+1/2', '-x+y, y, -z+1/2', 'x, x-y, -z+1/2', '-x, -y, -z', 'y, -x+y, -z', 'x-y, x, -z', 'x, y, -z+1/2', '-y, x-y, -z+1/2', '-x+y, -x, -z+1/2', '-y, -x, z', '-x+y, y, z', 'x, x-y, z', 'y, x, z+1/2', 'x-y, -y, z+1/2', '-x, -x+y, z+1/2'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, z+1/2', 'y, -x+y, z+1/2', 'x-y, x, z+1/2', 'y, x, -z', 'x-y, -y, -z', '-x, -x+y, -z', '-y, -x, -z+1/2', '-x+y, y, -z+1/2', 'x, x-y, -z+1/2'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, z+1/2', 'y, -x+y, z+1/2', 'x-y, x, z+1/2', 'y, x, -z', 'x-y, -y, -z', '-x, -x+y, -z', '-y, -x, -z+1/2', '-x+y, y, -z+1/2', 'x, x-y, -z+1/2'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, z+1/2', 'y, -x+y, z+1/2', 'x-y, x, z+1/2', '-x, -y, -z', 'y, -x+y, -z', 'x-y, x, -z', 'x, y, -z+1/2', '-y, x-y, -z+1/2', '-x+y, -x, -z+1/2'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, z+1/2', 'y, -x+y, z+1/2', 'x-y, x, z+1/2'], ['x, y, z', '-x, -y, z+1/2', 'y, x, -z', '-y, -x, -z+1/2'], ['x, y, z', '-x, -y, z+1/2'], ['x, y, z', '-x, -y, z+1/2']]\"\n"
  },
  {
    "path": "pyxtal/database/rod_symmetry.csv",
    "content": ",0\n0,\n1,\"[[['x, y, z']]]\"\n2,\"[[['x, y, z'], ['x, y, z']], [['x, y, z', '-x, -y, -z+1']], [['x, y, z', '-x, -y, -z']]]\"\n3,\"[[['x, y, z'], ['x, y, z']], [['x, y, z', 'x, -y, -z+1']], [['x, y, z', 'x, -y, -z']]]\"\n4,\"[[['x, y, z'], ['x, y, z']], [['x, y, z', '-x, y, z']]]\"\n5,\"[[['x, y, z'], ['x, y, z']]]\"\n6,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-x, y, z'], ['x, y, z', '-x, y, z']], [['x, y, z', 'x, -y, -z+1'], ['x, y, z', 'x, -y, -z+1']], [['x, y, z', 'x, -y, -z'], ['x, y, z', 'x, -y, -z']], [['x, y, z', 'x, -y, -z+1', '-x, -y, -z+1', '-x, y, z']], [['x, y, z', 'x, -y, -z', '-x, -y, -z', '-x, y, z']]]\"\n7,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', 'x, -y, -z+1/2'], ['x, y, z', 'x, -y, -z+3/2']], [['x, y, z', '-x, -y, -z'], ['x, y, z', '-x, -y, -z+1']]]\"\n8,\"[[['x, y, z'], ['x, y, z']], [['x, y, z', '-x, -y, z']]]\"\n9,\"[[['x, y, z'], ['x, y, z']]]\"\n10,\"[[['x, y, z'], ['x, y, z']], [['x, y, z', 'x, y, -z+1']], [['x, y, z', 'x, y, -z']]]\"\n11,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1']], [['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z']], [['x, y, z', '-x, -y, z'], ['x, y, z', '-x, -y, z']], [['x, y, z', '-x, -y, z', '-x, -y, -z+1', 'x, y, -z+1']], [['x, y, z', '-x, -y, z', '-x, -y, -z', 'x, y, -z']]]\"\n12,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', 'x, y, -z+1/2'], ['x, y, z', 'x, y, -z+3/2']], [['x, y, z', '-x, -y, -z'], ['x, y, z', '-x, -y, -z+1']]]\"\n13,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-x, -y, z'], ['x, y, z', '-x, -y, z']], [['x, y, z', '-x, y, -z+1'], ['x, y, z', '-x, y, -z+1']], [['x, y, z', '-x, y, -z'], ['x, y, z', '-x, y, -z']], [['x, y, z', 'x, -y, -z+1'], ['x, y, z', 'x, -y, -z+1']], [['x, y, z', 'x, -y, -z'], ['x, y, z', 'x, -y, -z']], [['x, y, z', '-x, -y, z', '-x, y, -z+1', 'x, -y, -z+1']], [['x, y, z', '-x, -y, z', '-x, y, -z', 'x, -y, -z']]]\"\n14,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-x, y, -z+1/2'], ['x, y, z', '-x, y, -z+3/2']], [['x, y, z', 'x, -y, -z'], ['x, y, z', 'x, -y, -z+1']]]\"\n15,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-x, y, z'], ['x, y, z', '-x, y, z']], [['x, y, z', 'x, -y, z'], ['x, y, z', 'x, -y, z']], [['x, y, z', '-x, -y, z', 'x, -y, z', '-x, y, z']]]\"\n16,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-x, -y, z'], ['x, y, z', '-x, -y, z']]]\"\n17,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-x, y, z'], ['x, y, z', '-x, y, z']]]\"\n18,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', 'x, -y, z'], ['x, y, z', 'x, -y, z']], [['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1']], [['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z']], [['x, y, z', 'x, -y, -z+1', 'x, y, -z+1', 'x, -y, z']], [['x, y, z', 'x, -y, -z', 'x, y, -z', 'x, -y, z']]]\"\n19,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', 'x, y, -z+1/2'], ['x, y, z', 'x, y, -z+3/2']], [['x, y, z', 'x, -y, -z'], ['x, y, z', 'x, -y, -z+1']]]\"\n20,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1']], [['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z']], [['x, y, z', 'x, -y, z'], ['x, y, z', 'x, -y, z'], ['x, y, z', 'x, -y, z'], ['x, y, z', 'x, -y, z']], [['x, y, z', '-x, y, z'], ['x, y, z', '-x, y, z'], ['x, y, z', '-x, y, z'], ['x, y, z', '-x, y, z']], [['x, y, z', '-x, -y, z', 'x, -y, z', '-x, y, z'], ['x, y, z', '-x, -y, z', 'x, -y, z', '-x, y, z']], [['x, y, z', '-x, y, -z+1', 'x, y, -z+1', '-x, y, z'], ['x, y, z', '-x, y, -z+1', 'x, y, -z+1', '-x, y, z']], [['x, y, z', '-x, y, -z', 'x, y, -z', '-x, y, z'], ['x, y, z', '-x, y, -z', 'x, y, -z', '-x, y, z']], [['x, y, z', 'x, -y, -z+1', 'x, y, -z+1', 'x, -y, z'], ['x, y, z', 'x, -y, -z+1', 'x, y, -z+1', 'x, -y, z']], [['x, y, z', 'x, -y, -z', 'x, y, -z', 'x, -y, z'], ['x, y, z', 'x, -y, -z', 'x, y, -z', 'x, -y, z']], [['x, y, z', '-x, -y, z', '-x, y, -z+1', 'x, -y, -z+1', '-x, -y, -z+1', 'x, y, -z+1', 'x, -y, z', '-x, y, z']], [['x, y, z', '-x, -y, z', '-x, y, -z', 'x, -y, -z', '-x, -y, -z', 'x, y, -z', 'x, -y, z', '-x, y, z']]]\"\n21,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1']], [['x, y, z', '-x, -y, z'], ['x, y, z', '-x, -y, z'], ['x, y, z', '-x, -y, z'], ['x, y, z', '-x, -y, z']], [['x, y, z', '-x, y, -z+1/2'], ['x, y, z', '-x, y, -z+1/2'], ['x, y, z', '-x, y, -z+3/2'], ['x, y, z', '-x, y, -z+3/2']], [['x, y, z', 'x, -y, -z+1/2'], ['x, y, z', 'x, -y, -z+1/2'], ['x, y, z', 'x, -y, -z+3/2'], ['x, y, z', 'x, -y, -z+3/2']], [['x, y, z', '-x, -y, z', '-x, y, -z+1/2', 'x, -y, -z+1/2'], ['x, y, z', '-x, -y, z', '-x, y, -z+3/2', 'x, -y, -z+3/2']], [['x, y, z', '-x, -y, z', '-x, -y, -z', 'x, y, -z'], ['x, y, z', '-x, -y, z', '-x, -y, -z+1', 'x, y, -z+1']]]\"\n22,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', 'x, y, -z+1/2'], ['x, y, z', 'x, y, -z+1/2'], ['x, y, z', 'x, y, -z+3/2'], ['x, y, z', 'x, y, -z+3/2']], [['x, y, z', '-x, y, z'], ['x, y, z', '-x, y, z'], ['x, y, z', '-x, y, z'], ['x, y, z', '-x, y, z']], [['x, y, z', 'x, -y, -z'], ['x, y, z', 'x, -y, -z+1'], ['x, y, z', 'x, -y, -z'], ['x, y, z', 'x, -y, -z+1']], [['x, y, z', '-x, y, -z+1/2', '-x, y, z', 'x, y, -z+1/2'], ['x, y, z', '-x, y, -z+3/2', '-x, y, z', 'x, y, -z+3/2']], [['x, y, z', 'x, -y, -z', '-x, -y, -z', '-x, y, z'], ['x, y, z', 'x, -y, -z+1', '-x, -y, -z+1', '-x, y, z']]]\"\n23,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z']]]\"\n24,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']]]\"\n25,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-x, -y, z'], ['x, y, z', '-x, -y, z']]]\"\n26,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']]]\"\n27,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-x, -y, z'], ['x, y, z', '-x, -y, z']], [['x, y, z', '-x, -y, z', 'y, -x, -z+1', '-y, x, -z+1']], [['x, y, z', '-x, -y, z', 'y, -x, -z', '-y, x, -z']]]\"\n28,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1']], [['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z']], [['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z'], ['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z']], [['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z', '-x, -y, -z+1', 'x, y, -z+1', 'y, -x, -z+1', '-y, x, -z+1']], [['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z', '-x, -y, -z', 'x, y, -z', 'y, -x, -z', '-y, x, -z']]]\"\n29,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1']], [['x, y, z', '-x, -y, z'], ['x, y, z', '-x, -y, z'], ['x, y, z', '-x, -y, z'], ['x, y, z', '-x, -y, z']], [['x, y, z', '-x, -y, z', 'y, -x, -z+1/2', '-y, x, -z+1/2'], ['x, y, z', '-x, -y, z', 'y, -x, -z+3/2', '-y, x, -z+3/2']], [['x, y, z', '-x, -y, z', '-x, -y, -z', 'x, y, -z'], ['x, y, z', '-x, -y, z', '-x, -y, -z+1', 'x, y, -z+1']]]\"\n30,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', 'x, -y, -z+1'], ['x, y, z', 'x, -y, -z+1'], ['x, y, z', '-x, y, -z+1'], ['x, y, z', '-x, y, -z+1']], [['x, y, z', 'x, -y, -z'], ['x, y, z', 'x, -y, -z'], ['x, y, z', '-x, y, -z'], ['x, y, z', '-x, y, -z']], [['x, y, z', 'y, x, -z+1'], ['x, y, z', 'y, x, -z+1'], ['x, y, z', '-y, -x, -z+1'], ['x, y, z', '-y, -x, -z+1']], [['x, y, z', 'y, x, -z'], ['x, y, z', 'y, x, -z'], ['x, y, z', '-y, -x, -z'], ['x, y, z', '-y, -x, -z']], [['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z'], ['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z']], [['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z', '-x, y, -z+1', 'x, -y, -z+1', 'y, x, -z+1', '-y, -x, -z+1']], [['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z', '-x, y, -z', 'x, -y, -z', 'y, x, -z', '-y, -x, -z']]]\"\n31,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', 'y, x, -z+1/4'], ['x, y, z', 'y, x, -z+5/4'], ['x, y, z', '-y, -x, -z+3/4'], ['x, y, z', '-y, -x, -z+7/4']], [['x, y, z', 'x, -y, -z'], ['x, y, z', 'x, -y, -z+1'], ['x, y, z', '-x, y, -z+1/2'], ['x, y, z', '-x, y, -z+3/2']]]\"\n32,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', 'y, x, -z+3/2'], ['x, y, z', 'y, x, -z+3/2'], ['x, y, z', '-y, -x, -z+1/2'], ['x, y, z', '-y, -x, -z+1/2']], [['x, y, z', 'y, x, -z+1/2'], ['x, y, z', 'y, x, -z+1/2'], ['x, y, z', '-y, -x, -z+3/2'], ['x, y, z', '-y, -x, -z+3/2']], [['x, y, z', 'x, -y, -z+1'], ['x, y, z', 'x, -y, -z+1'], ['x, y, z', '-x, y, -z'], ['x, y, z', '-x, y, -z']], [['x, y, z', 'x, -y, -z'], ['x, y, z', 'x, -y, -z'], ['x, y, z', '-x, y, -z+1'], ['x, y, z', '-x, y, -z+1']], [['x, y, z', '-x, -y, z'], ['x, y, z', '-x, -y, z'], ['x, y, z', '-x, -y, z'], ['x, y, z', '-x, -y, z']], [['x, y, z', '-x, -y, z', 'y, x, -z+1/2', '-y, -x, -z+1/2'], ['x, y, z', '-x, -y, z', 'y, x, -z+3/2', '-y, -x, -z+3/2']], [['x, y, z', '-x, -y, z', '-x, y, -z', 'x, -y, -z'], ['x, y, z', '-x, -y, z', '-x, y, -z+1', 'x, -y, -z+1']]]\"\n33,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', 'y, x, -z+7/4'], ['x, y, z', 'y, x, -z+3/4'], ['x, y, z', '-y, -x, -z+5/4'], ['x, y, z', '-y, -x, -z+1/4']], [['x, y, z', 'x, -y, -z'], ['x, y, z', 'x, -y, -z+1'], ['x, y, z', '-x, y, -z+3/2'], ['x, y, z', '-x, y, -z+1/2']]]\"\n34,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', 'x, -y, z'], ['x, y, z', 'x, -y, z'], ['x, y, z', '-x, y, z'], ['x, y, z', '-x, y, z']], [['x, y, z', 'y, x, z'], ['x, y, z', 'y, x, z'], ['x, y, z', '-y, -x, z'], ['x, y, z', '-y, -x, z']], [['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z', 'x, -y, z', '-x, y, z', '-y, -x, z', 'y, x, z']]]\"\n35,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', 'y, x, z'], ['x, y, z', 'y, x, z'], ['x, y, z', '-y, -x, z'], ['x, y, z', '-y, -x, z']], [['x, y, z', '-x, -y, z', '-y, -x, z', 'y, x, z'], ['x, y, z', '-x, -y, z', '-y, -x, z', 'y, x, z']]]\"\n36,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z'], ['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z']]]\"\n37,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', 'y, x, z'], ['x, y, z', 'y, x, z'], ['x, y, z', '-y, -x, z'], ['x, y, z', '-y, -x, z']], [['x, y, z', 'x, -y, -z+1'], ['x, y, z', 'x, -y, -z+1'], ['x, y, z', '-x, y, -z+1'], ['x, y, z', '-x, y, -z+1']], [['x, y, z', 'x, -y, -z'], ['x, y, z', 'x, -y, -z'], ['x, y, z', '-x, y, -z'], ['x, y, z', '-x, y, -z']], [['x, y, z', '-x, -y, z', '-y, -x, z', 'y, x, z'], ['x, y, z', '-x, -y, z', '-y, -x, z', 'y, x, z']], [['x, y, z', '-x, -y, z', 'y, -x, -z+1', '-y, x, -z+1', '-x, y, -z+1', 'x, -y, -z+1', '-y, -x, z', 'y, x, z']], [['x, y, z', '-x, -y, z', 'y, -x, -z', '-y, x, -z', '-x, y, -z', 'x, -y, -z', '-y, -x, z', 'y, x, z']]]\"\n38,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-x, -y, z'], ['x, y, z', '-x, -y, z'], ['x, y, z', '-x, -y, z'], ['x, y, z', '-x, -y, z']], [['x, y, z', '-x, y, -z+1/2'], ['x, y, z', '-x, y, -z+1/2'], ['x, y, z', 'x, -y, -z+3/2'], ['x, y, z', 'x, -y, -z+3/2']], [['x, y, z', 'x, -y, -z+1/2'], ['x, y, z', 'x, -y, -z+1/2'], ['x, y, z', '-x, y, -z+3/2'], ['x, y, z', '-x, y, -z+3/2']], [['x, y, z', '-x, -y, z', 'y, -x, -z', '-y, x, -z'], ['x, y, z', '-x, -y, z', 'y, -x, -z+1', '-y, x, -z+1']], [['x, y, z', '-x, -y, z', '-x, y, -z+1/2', 'x, -y, -z+1/2'], ['x, y, z', '-x, -y, z', '-x, y, -z+3/2', 'x, -y, -z+3/2']]]\"\n39,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', 'x, -y, z'], ['x, y, z', 'x, -y, z'], ['x, y, z', '-x, y, z'], ['x, y, z', '-x, y, z'], ['x, y, z', 'x, -y, z'], ['x, y, z', 'x, -y, z'], ['x, y, z', '-x, y, z'], ['x, y, z', '-x, y, z']], [['x, y, z', 'y, x, z'], ['x, y, z', 'y, x, z'], ['x, y, z', '-y, -x, z'], ['x, y, z', '-y, -x, z'], ['x, y, z', '-y, -x, z'], ['x, y, z', '-y, -x, z'], ['x, y, z', 'y, x, z'], ['x, y, z', 'y, x, z']], [['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1']], [['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z']], [['x, y, z', 'x, -y, -z+1', 'x, y, -z+1', 'x, -y, z'], ['x, y, z', 'x, -y, -z+1', 'x, y, -z+1', 'x, -y, z'], ['x, y, z', '-x, y, -z+1', 'x, y, -z+1', '-x, y, z'], ['x, y, z', '-x, y, -z+1', 'x, y, -z+1', '-x, y, z']], [['x, y, z', 'x, -y, -z', 'x, y, -z', 'x, -y, z'], ['x, y, z', 'x, -y, -z', 'x, y, -z', 'x, -y, z'], ['x, y, z', '-x, y, -z', 'x, y, -z', '-x, y, z'], ['x, y, z', '-x, y, -z', 'x, y, -z', '-x, y, z']], [['x, y, z', 'y, x, -z+1', 'x, y, -z+1', 'y, x, z'], ['x, y, z', 'y, x, -z+1', 'x, y, -z+1', 'y, x, z'], ['x, y, z', '-y, -x, -z+1', 'x, y, -z+1', '-y, -x, z'], ['x, y, z', '-y, -x, -z+1', 'x, y, -z+1', '-y, -x, z']], [['x, y, z', 'y, x, -z', 'x, y, -z', 'y, x, z'], ['x, y, z', 'y, x, -z', 'x, y, -z', 'y, x, z'], ['x, y, z', '-y, -x, -z', 'x, y, -z', '-y, -x, z'], ['x, y, z', '-y, -x, -z', 'x, y, -z', '-y, -x, z']], [['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z', 'x, -y, z', '-x, y, z', '-y, -x, z', 'y, x, z'], ['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z', 'x, -y, z', '-x, y, z', '-y, -x, z', 'y, x, z']], [['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z', '-x, y, -z+1', 'x, -y, -z+1', 'y, x, -z+1', '-y, -x, -z+1', '-x, -y, -z+1', 'x, y, -z+1', 'y, -x, -z+1', '-y, x, -z+1', 'x, -y, z', '-x, y, z', '-y, -x, z', 'y, x, z']], [['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z', '-x, y, -z', 'x, -y, -z', 'y, x, -z', '-y, -x, -z', '-x, -y, -z', 'x, y, -z', 'y, -x, -z', '-y, x, -z', 'x, -y, z', '-x, y, z', '-y, -x, z', 'y, x, z']]]\"\n40,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1']], [['x, y, z', 'x, -y, -z+1/2'], ['x, y, z', 'x, -y, -z+1/2'], ['x, y, z', '-x, y, -z+1/2'], ['x, y, z', '-x, y, -z+1/2'], ['x, y, z', 'x, -y, -z+3/2'], ['x, y, z', 'x, -y, -z+3/2'], ['x, y, z', '-x, y, -z+3/2'], ['x, y, z', '-x, y, -z+3/2']], [['x, y, z', 'y, x, -z+1/2'], ['x, y, z', 'y, x, -z+1/2'], ['x, y, z', '-y, -x, -z+1/2'], ['x, y, z', '-y, -x, -z+1/2'], ['x, y, z', 'y, x, -z+3/2'], ['x, y, z', 'y, x, -z+3/2'], ['x, y, z', '-y, -x, -z+3/2'], ['x, y, z', '-y, -x, -z+3/2']], [['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z'], ['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z'], ['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z'], ['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z']], [['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z', '-x, -y, -z', 'x, y, -z', 'y, -x, -z', '-y, x, -z'], ['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z', '-x, -y, -z+1', 'x, y, -z+1', 'y, -x, -z+1', '-y, x, -z+1']], [['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z', '-x, y, -z+1/2', 'x, -y, -z+1/2', 'y, x, -z+1/2', '-y, -x, -z+1/2'], ['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z', '-x, y, -z+3/2', 'x, -y, -z+3/2', 'y, x, -z+3/2', '-y, -x, -z+3/2']]]\"\n41,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-x, y, z'], ['x, y, z', '-x, y, z'], ['x, y, z', 'x, -y, z'], ['x, y, z', 'x, -y, z'], ['x, y, z', '-x, y, z'], ['x, y, z', '-x, y, z'], ['x, y, z', 'x, -y, z'], ['x, y, z', 'x, -y, z']], [['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1']], [['x, y, z', 'y, x, -z+1/2'], ['x, y, z', 'y, x, -z+1/2'], ['x, y, z', '-y, -x, -z+3/2'], ['x, y, z', '-y, -x, -z+3/2'], ['x, y, z', 'y, x, -z+3/2'], ['x, y, z', 'y, x, -z+3/2'], ['x, y, z', '-y, -x, -z+1/2'], ['x, y, z', '-y, -x, -z+1/2']], [['x, y, z', 'x, -y, -z+1', 'x, y, -z+1', 'x, -y, z'], ['x, y, z', 'x, -y, -z+1', 'x, y, -z+1', 'x, -y, z'], ['x, y, z', '-x, y, -z', 'x, y, -z', '-x, y, z'], ['x, y, z', '-x, y, -z', 'x, y, -z', '-x, y, z']], [['x, y, z', 'x, -y, -z', 'x, y, -z', 'x, -y, z'], ['x, y, z', 'x, -y, -z', 'x, y, -z', 'x, -y, z'], ['x, y, z', '-x, y, -z+1', 'x, y, -z+1', '-x, y, z'], ['x, y, z', '-x, y, -z+1', 'x, y, -z+1', '-x, y, z']], [['x, y, z', '-x, -y, z', 'x, -y, z', '-x, y, z'], ['x, y, z', '-x, -y, z', 'x, -y, z', '-x, y, z'], ['x, y, z', '-x, -y, z', 'x, -y, z', '-x, y, z'], ['x, y, z', '-x, -y, z', 'x, -y, z', '-x, y, z']], [['x, y, z', '-x, -y, z', 'y, x, -z+1/2', '-y, -x, -z+1/2', 'y, -x, -z+1/2', '-y, x, -z+1/2', 'x, -y, z', '-x, y, z'], ['x, y, z', '-x, -y, z', 'y, x, -z+3/2', '-y, -x, -z+3/2', 'y, -x, -z+3/2', '-y, x, -z+3/2', 'x, -y, z', '-x, y, z']], [['x, y, z', '-x, -y, z', '-x, y, -z', 'x, -y, -z', '-x, -y, -z', 'x, y, -z', 'x, -y, z', '-x, y, z'], ['x, y, z', '-x, -y, z', '-x, y, -z+1', 'x, -y, -z+1', '-x, -y, -z+1', 'x, y, -z+1', 'x, -y, z', '-x, y, z']]]\"\n42,\"[[['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-y, x-y, z', '-x+y, -x, z']]]\"\n43,\"[[['x, y, z'], ['x, y, z'], ['x, y, z']]]\"\n44,\"[[['x, y, z'], ['x, y, z'], ['x, y, z']]]\"\n45,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-y, x-y, z', '-x+y, -x, z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z']], [['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, -z+1', 'y, -x+y, -z+1', 'x-y, x, -z+1']], [['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, -z', 'y, -x+y, -z', 'x-y, x, -z']]]\"\n46,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-y, -x, -z+1'], ['x, y, z', '-x+y, y, -z+1'], ['x, y, z']], [['x, y, z', '-y, -x, -z'], ['x, y, z', '-x+y, y, -z'], ['x, y, z']], [['x, y, z', '-y, x-y, z', '-x+y, -x, z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z']], [['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-y, -x, -z+1', '-x+y, y, -z+1', 'x, x-y, -z+1']], [['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-y, -x, -z', '-x+y, y, -z', 'x, x-y, -z']]]\"\n47,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-y, -x, -z+5/3'], ['x, y, z', '-x+y, y, -z+1/3'], ['x, y, z']], [['x, y, z', '-y, -x, -z+2/3'], ['x, y, z', '-x+y, y, -z+4/3'], ['x, y, z']]]\"\n48,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-y, -x, -z+1/3'], ['x, y, z', '-x+y, y, -z+5/3'], ['x, y, z']], [['x, y, z', '-y, -x, -z+4/3'], ['x, y, z', '-x+y, y, -z+2/3'], ['x, y, z']]]\"\n49,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-y, -x, z'], ['x, y, z', '-x+y, y, z'], ['x, y, z']], [['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-y, -x, z', '-x+y, y, z', 'x, x-y, z']]]\"\n50,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-y, x-y, z', '-x+y, -x, z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z']]]\"\n51,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', 'x-y, -y, z'], ['x, y, z', '-x, -x+y, z'], ['x, y, z', 'y, x, z'], ['x, y, z', '-x, -x+y, z'], ['x, y, z', 'x-y, -y, z'], ['x, y, z', 'y, x, z']], [['x, y, z', '-y, -x, -z+1'], ['x, y, z', '-x+y, y, -z+1'], ['x, y, z'], ['x, y, z', '-y, -x, -z+1'], ['x, y, z'], ['x, y, z', 'x, x-y, -z+1']], [['x, y, z', '-y, -x, -z'], ['x, y, z', '-x+y, y, -z'], ['x, y, z'], ['x, y, z', '-y, -x, -z'], ['x, y, z'], ['x, y, z', 'x, x-y, -z']], [['x, y, z', '-y, x-y, z', '-x+y, -x, z', 'y, x, z', 'x-y, -y, z', '-x, -x+y, z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', 'y, x, z', 'x-y, -y, z', '-x, -x+y, z']], [['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-y, -x, -z+1', '-x+y, y, -z+1', 'x, x-y, -z+1', '-x, -y, -z+1', 'y, -x+y, -z+1', 'x-y, x, -z+1', 'y, x, z', 'x-y, -y, z', '-x, -x+y, z']], [['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-y, -x, -z', '-x+y, y, -z', 'x, x-y, -z', '-x, -y, -z', 'y, -x+y, -z', 'x-y, x, -z', 'y, x, z', 'x-y, -y, z', '-x, -x+y, z']]]\"\n52,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-y, -x, -z+1/2'], ['x, y, z', '-x+y, y, -z+1/2'], ['x, y, z'], ['x, y, z', '-y, -x, -z+3/2'], ['x, y, z'], ['x, y, z', 'x, x-y, -z+3/2']], [['x, y, z', '-y, x-y, z', '-x+y, -x, z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z']], [['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, -z', 'y, -x+y, -z', 'x-y, x, -z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, -z+1', 'y, -x+y, -z+1', 'x-y, x, -z+1']], [['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-y, -x, -z+1/2', '-x+y, y, -z+1/2', 'x, x-y, -z+1/2'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-y, -x, -z+3/2', '-x+y, y, -z+3/2', 'x, x-y, -z+3/2']]]\"\n53,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, z', 'y, -x+y, z', 'x-y, x, z']]]\"\n54,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']]]\"\n55,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-x, -y, z'], ['x, y, z', '-x, -y, z'], ['x, y, z', '-x, -y, z']]]\"\n56,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-y, x-y, z', '-x+y, -x, z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z']]]\"\n57,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-x, -y, z'], ['x, y, z', '-x, -y, z'], ['x, y, z', '-x, -y, z']]]\"\n58,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']]]\"\n59,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1']], [['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z']], [['x, y, z', '-y, x-y, z', '-x+y, -x, z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z']], [['x, y, z', '-y, x-y, z', '-x+y, -x, z', 'x, y, -z+1', '-y, x-y, -z+1', '-x+y, -x, -z+1']], [['x, y, z', '-y, x-y, z', '-x+y, -x, z', 'x, y, -z', '-y, x-y, -z', '-x+y, -x, -z']]]\"\n60,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1']], [['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z']], [['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, z', 'y, -x+y, z', 'x-y, x, z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, z', 'y, -x+y, z', 'x-y, x, z']], [['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, z', 'y, -x+y, z', 'x-y, x, z', '-x, -y, -z+1', 'y, -x+y, -z+1', 'x-y, x, -z+1', 'x, y, -z+1', '-y, x-y, -z+1', '-x+y, -x, -z+1']], [['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, z', 'y, -x+y, z', 'x-y, x, z', '-x, -y, -z', 'y, -x+y, -z', 'x-y, x, -z', 'x, y, -z', '-y, x-y, -z', '-x+y, -x, -z']]]\"\n61,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', 'x, y, -z+1/2'], ['x, y, z', 'x, y, -z+1/2'], ['x, y, z', 'x, y, -z+1/2'], ['x, y, z', 'x, y, -z+3/2'], ['x, y, z', 'x, y, -z+3/2'], ['x, y, z', 'x, y, -z+3/2']], [['x, y, z', '-y, x-y, z', '-x+y, -x, z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z']], [['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, -z', 'y, -x+y, -z', 'x-y, x, -z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, -z+1', 'y, -x+y, -z+1', 'x-y, x, -z+1']], [['x, y, z', '-y, x-y, z', '-x+y, -x, z', 'x, y, -z+1/2', '-y, x-y, -z+1/2', '-x+y, -x, -z+1/2'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', 'x, y, -z+3/2', '-y, x-y, -z+3/2', '-x+y, -x, -z+3/2']]]\"\n62,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-y, -x, -z+1'], ['x, y, z', '-x+y, y, -z+1'], ['x, y, z'], ['x, y, z', '-y, -x, -z+1'], ['x, y, z'], ['x, y, z', 'x, x-y, -z+1']], [['x, y, z', '-y, -x, -z'], ['x, y, z', '-x+y, y, -z'], ['x, y, z'], ['x, y, z', '-y, -x, -z'], ['x, y, z'], ['x, y, z', 'x, x-y, -z']], [['x, y, z', 'x-y, -y, -z+1'], ['x, y, z', '-x, -x+y, -z+1'], ['x, y, z', 'y, x, -z+1'], ['x, y, z', 'x-y, -y, -z+1'], ['x, y, z', '-x, -x+y, -z+1'], ['x, y, z', 'y, x, -z+1']], [['x, y, z', 'x-y, -y, -z'], ['x, y, z', '-x, -x+y, -z'], ['x, y, z', 'y, x, -z'], ['x, y, z', 'x-y, -y, -z'], ['x, y, z', '-x, -x+y, -z'], ['x, y, z', 'y, x, -z']], [['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, z', 'y, -x+y, z', 'x-y, x, z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, z', 'y, -x+y, z', 'x-y, x, z']], [['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, z', 'y, -x+y, z', 'x-y, x, z', 'y, x, -z+1', 'x-y, -y, -z+1', '-x, -x+y, -z+1', '-y, -x, -z+1', '-x+y, y, -z+1', 'x, x-y, -z+1']], [['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, z', 'y, -x+y, z', 'x-y, x, z', 'y, x, -z', 'x-y, -y, -z', '-x, -x+y, -z', '-y, -x, -z', '-x+y, y, -z', 'x, x-y, -z']]]\"\n63,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-x+y, y, -z+1/2'], ['x, y, z'], ['x, y, z', '-y, -x, -z+11/6'], ['x, y, z'], ['x, y, z', 'x, x-y, -z+1/6'], ['x, y, z', '-y, -x, -z+5/6']], [['x, y, z', 'x-y, -y, -z'], ['x, y, z', '-x, -x+y, -z+2/3'], ['x, y, z', 'y, x, -z+4/3'], ['x, y, z', 'x-y, -y, -z+1'], ['x, y, z', '-x, -x+y, -z+5/3'], ['x, y, z', 'y, x, -z+1/3']]]\"\n64,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-x+y, y, -z+1'], ['x, y, z'], ['x, y, z', '-y, -x, -z+5/3'], ['x, y, z'], ['x, y, z', 'x, x-y, -z+1/3'], ['x, y, z', '-y, -x, -z+5/3']], [['x, y, z', '-x+y, y, -z'], ['x, y, z'], ['x, y, z', '-y, -x, -z+2/3'], ['x, y, z'], ['x, y, z', 'x, x-y, -z+4/3'], ['x, y, z', '-y, -x, -z+2/3']], [['x, y, z', 'x-y, -y, -z+1'], ['x, y, z', '-x, -x+y, -z+1/3'], ['x, y, z', 'y, x, -z+5/3'], ['x, y, z', 'x-y, -y, -z+1'], ['x, y, z', '-x, -x+y, -z+1/3'], ['x, y, z', 'y, x, -z+5/3']], [['x, y, z', 'x-y, -y, -z'], ['x, y, z', '-x, -x+y, -z+4/3'], ['x, y, z', 'y, x, -z+2/3'], ['x, y, z', 'x-y, -y, -z'], ['x, y, z', '-x, -x+y, -z+4/3'], ['x, y, z', 'y, x, -z+2/3']], [['x, y, z', '-x, -y, z'], ['x, y, z', '-x, -y, z'], ['x, y, z', '-x, -y, z'], ['x, y, z', '-x, -y, z'], ['x, y, z', '-x, -y, z'], ['x, y, z', '-x, -y, z']], [['x, y, z', '-x, -y, z', 'x-y, -y, -z+1', '-x+y, y, -z+1'], ['x, y, z', '-x, -y, z', '-x, -x+y, -z+1/3', 'x, x-y, -z+1/3'], ['x, y, z', '-x, -y, z', 'y, x, -z+5/3', '-y, -x, -z+5/3']], [['x, y, z', '-x, -y, z', 'x-y, -y, -z', '-x+y, y, -z'], ['x, y, z', '-x, -y, z', '-x, -x+y, -z+4/3', 'x, x-y, -z+4/3'], ['x, y, z', '-x, -y, z', 'y, x, -z+2/3', '-y, -x, -z+2/3']]]\"\n65,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-x+y, y, -z+1/2'], ['x, y, z'], ['x, y, z', '-y, -x, -z+1/2'], ['x, y, z'], ['x, y, z', 'x, x-y, -z+3/2'], ['x, y, z', '-y, -x, -z+3/2']], [['x, y, z', 'x-y, -y, -z'], ['x, y, z', '-x, -x+y, -z'], ['x, y, z', 'y, x, -z'], ['x, y, z', 'x-y, -y, -z+1'], ['x, y, z', '-x, -x+y, -z+1'], ['x, y, z', 'y, x, -z+1']], [['x, y, z', '-y, x-y, z', '-x+y, -x, z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z']], [['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-y, -x, -z+1/2', '-x+y, y, -z+1/2', 'x, x-y, -z+1/2'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-y, -x, -z+3/2', '-x+y, y, -z+3/2', 'x, x-y, -z+3/2']], [['x, y, z', '-y, x-y, z', '-x+y, -x, z', 'y, x, -z', 'x-y, -y, -z', '-x, -x+y, -z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', 'y, x, -z+1', 'x-y, -y, -z+1', '-x, -x+y, -z+1']]]\"\n66,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-x+y, y, -z+1'], ['x, y, z'], ['x, y, z', '-y, -x, -z+1/3'], ['x, y, z'], ['x, y, z', 'x, x-y, -z+5/3'], ['x, y, z', '-y, -x, -z+1/3']], [['x, y, z', '-x+y, y, -z'], ['x, y, z'], ['x, y, z', '-y, -x, -z+4/3'], ['x, y, z'], ['x, y, z', 'x, x-y, -z+2/3'], ['x, y, z', '-y, -x, -z+4/3']], [['x, y, z', 'x-y, -y, -z+1'], ['x, y, z', '-x, -x+y, -z+5/3'], ['x, y, z', 'y, x, -z+1/3'], ['x, y, z', 'x-y, -y, -z+1'], ['x, y, z', '-x, -x+y, -z+5/3'], ['x, y, z', 'y, x, -z+1/3']], [['x, y, z', 'x-y, -y, -z'], ['x, y, z', '-x, -x+y, -z+2/3'], ['x, y, z', 'y, x, -z+4/3'], ['x, y, z', 'x-y, -y, -z'], ['x, y, z', '-x, -x+y, -z+2/3'], ['x, y, z', 'y, x, -z+4/3']], [['x, y, z', '-x, -y, z'], ['x, y, z', '-x, -y, z'], ['x, y, z', '-x, -y, z'], ['x, y, z', '-x, -y, z'], ['x, y, z', '-x, -y, z'], ['x, y, z', '-x, -y, z']], [['x, y, z', '-x, -y, z', 'x-y, -y, -z+1', '-x+y, y, -z+1'], ['x, y, z', '-x, -y, z', '-x, -x+y, -z+5/3', 'x, x-y, -z+5/3'], ['x, y, z', '-x, -y, z', 'y, x, -z+1/3', '-y, -x, -z+1/3']], [['x, y, z', '-x, -y, z', 'x-y, -y, -z', '-x+y, y, -z'], ['x, y, z', '-x, -y, z', '-x, -x+y, -z+2/3', 'x, x-y, -z+2/3'], ['x, y, z', '-x, -y, z', 'y, x, -z+4/3', '-y, -x, -z+4/3']]]\"\n67,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-x+y, y, -z+3/2'], ['x, y, z'], ['x, y, z', '-y, -x, -z+1/6'], ['x, y, z'], ['x, y, z', 'x, x-y, -z+11/6'], ['x, y, z', '-y, -x, -z+7/6']], [['x, y, z', 'x-y, -y, -z'], ['x, y, z', '-x, -x+y, -z+4/3'], ['x, y, z', 'y, x, -z+2/3'], ['x, y, z', 'x-y, -y, -z+1'], ['x, y, z', '-x, -x+y, -z+1/3'], ['x, y, z', 'y, x, -z+5/3']]]\"\n68,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-y, -x, z'], ['x, y, z', '-x+y, y, z'], ['x, y, z'], ['x, y, z', '-y, -x, z'], ['x, y, z'], ['x, y, z', 'x, x-y, z']], [['x, y, z', 'x-y, -y, z'], ['x, y, z', '-x, -x+y, z'], ['x, y, z', 'y, x, z'], ['x, y, z', 'x-y, -y, z'], ['x, y, z', '-x, -x+y, z'], ['x, y, z', 'y, x, z']], [['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, z', 'y, -x+y, z', 'x-y, x, z', '-y, -x, z', '-x+y, y, z', 'x, x-y, z', 'y, x, z', 'x-y, -y, z', '-x, -x+y, z']]]\"\n69,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, z', 'y, -x+y, z', 'x-y, x, z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, z', 'y, -x+y, z', 'x-y, x, z']]]\"\n70,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-y, -x, z'], ['x, y, z', '-x+y, y, z'], ['x, y, z'], ['x, y, z', '-y, -x, z'], ['x, y, z'], ['x, y, z', 'x, x-y, z']], [['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-y, -x, z', '-x+y, y, z', 'x, x-y, z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-y, -x, z', '-x+y, y, z', 'x, x-y, z']]]\"\n71,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-y, -x, z'], ['x, y, z', '-x+y, y, z'], ['x, y, z'], ['x, y, z', '-y, -x, z'], ['x, y, z', '-x+y, y, z'], ['x, y, z']], [['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1']], [['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z']], [['x, y, z', 'x, y, -z+1', '-y, -x, z', '-y, -x, -z+1'], ['x, y, z', 'x, y, -z+1', '-x+y, y, z', '-x+y, y, -z+1'], ['x, y, z', 'x, y, -z+1']], [['x, y, z', 'x, y, -z', '-y, -x, z', '-y, -x, -z'], ['x, y, z', 'x, y, -z', '-x+y, y, z', '-x+y, y, -z'], ['x, y, z', 'x, y, -z']], [['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-y, -x, z', '-x+y, y, z', 'x, x-y, z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-y, -x, z', '-x+y, y, z', 'x, x-y, z']], [['x, y, z', '-y, x-y, z', '-x+y, -x, z', 'x, y, -z+1', '-y, x-y, -z+1', '-x+y, -x, -z+1', '-y, -x, z', '-x+y, y, z', 'x, x-y, z', '-y, -x, -z+1', '-x+y, y, -z+1', 'x, x-y, -z+1']], [['x, y, z', '-y, x-y, z', '-x+y, -x, z', 'x, y, -z', '-y, x-y, -z', '-x+y, -x, -z', '-y, -x, z', '-x+y, y, z', 'x, x-y, z', '-y, -x, -z', '-x+y, y, -z', 'x, x-y, -z']]]\"\n72,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1']], [['x, y, z', '-y, -x, -z+1/2'], ['x, y, z', '-x+y, y, -z+1/2'], ['x, y, z'], ['x, y, z', '-y, -x, -z+3/2'], ['x, y, z', '-x+y, y, -z+3/2'], ['x, y, z']], [['x, y, z', '-y, x-y, z', '-x+y, -x, z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z']], [['x, y, z', '-y, x-y, z', '-x+y, -x, z', 'x, y, -z', '-y, x-y, -z', '-x+y, -x, -z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', 'x, y, -z+1', '-y, x-y, -z+1', '-x+y, -x, -z+1']], [['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-y, -x, -z+1/2', '-x+y, y, -z+1/2', 'x, x-y, -z+1/2'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-y, -x, -z+3/2', '-x+y, y, -z+3/2', 'x, x-y, -z+3/2']]]\"\n73,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1']], [['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z']], [['x, y, z', '-x+y, y, z'], ['x, y, z'], ['x, y, z', '-y, -x, z'], ['x, y, z'], ['x, y, z', 'x, x-y, z'], ['x, y, z', '-y, -x, z'], ['x, y, z', 'x, x-y, z'], ['x, y, z'], ['x, y, z', '-y, -x, z'], ['x, y, z'], ['x, y, z', '-x+y, y, z'], ['x, y, z', '-y, -x, z']], [['x, y, z', 'x-y, -y, z'], ['x, y, z', '-x, -x+y, z'], ['x, y, z', 'y, x, z'], ['x, y, z', 'x-y, -y, z'], ['x, y, z', '-x, -x+y, z'], ['x, y, z', 'y, x, z'], ['x, y, z', '-x, -x+y, z'], ['x, y, z', 'x-y, -y, z'], ['x, y, z', 'y, x, z'], ['x, y, z', '-x, -x+y, z'], ['x, y, z', 'x-y, -y, z'], ['x, y, z', 'y, x, z']], [['x, y, z', '-x+y, y, -z+1', 'x, y, -z+1', '-x+y, y, z'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', '-y, -x, -z+1', 'x, y, -z+1', '-y, -x, z'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, x-y, -z+1', 'x, y, -z+1', 'x, x-y, z'], ['x, y, z', '-y, -x, -z+1', 'x, y, -z+1', '-y, -x, z']], [['x, y, z', '-x+y, y, -z', 'x, y, -z', '-x+y, y, z'], ['x, y, z', 'x, y, -z'], ['x, y, z', '-y, -x, -z', 'x, y, -z', '-y, -x, z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, x-y, -z', 'x, y, -z', 'x, x-y, z'], ['x, y, z', '-y, -x, -z', 'x, y, -z', '-y, -x, z']], [['x, y, z', 'x-y, -y, -z+1', 'x, y, -z+1', 'x-y, -y, z'], ['x, y, z', '-x, -x+y, -z+1', 'x, y, -z+1', '-x, -x+y, z'], ['x, y, z', 'y, x, -z+1', 'x, y, -z+1', 'y, x, z'], ['x, y, z', 'x-y, -y, -z+1', 'x, y, -z+1', 'x-y, -y, z'], ['x, y, z', '-x, -x+y, -z+1', 'x, y, -z+1', '-x, -x+y, z'], ['x, y, z', 'y, x, -z+1', 'x, y, -z+1', 'y, x, z']], [['x, y, z', 'x-y, -y, -z', 'x, y, -z', 'x-y, -y, z'], ['x, y, z', '-x, -x+y, -z', 'x, y, -z', '-x, -x+y, z'], ['x, y, z', 'y, x, -z', 'x, y, -z', 'y, x, z'], ['x, y, z', 'x-y, -y, -z', 'x, y, -z', 'x-y, -y, z'], ['x, y, z', '-x, -x+y, -z', 'x, y, -z', '-x, -x+y, z'], ['x, y, z', 'y, x, -z', 'x, y, -z', 'y, x, z']], [['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, z', 'y, -x+y, z', 'x-y, x, z', '-y, -x, z', '-x+y, y, z', 'x, x-y, z', 'y, x, z', 'x-y, -y, z', '-x, -x+y, z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, z', 'y, -x+y, z', 'x-y, x, z', '-y, -x, z', '-x+y, y, z', 'x, x-y, z', 'y, x, z', 'x-y, -y, z', '-x, -x+y, z']], [['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, z', 'y, -x+y, z', 'x-y, x, z', 'y, x, -z+1', 'x-y, -y, -z+1', '-x, -x+y, -z+1', '-y, -x, -z+1', '-x+y, y, -z+1', 'x, x-y, -z+1', '-x, -y, -z+1', 'y, -x+y, -z+1', 'x-y, x, -z+1', 'x, y, -z+1', '-y, x-y, -z+1', '-x+y, -x, -z+1', '-y, -x, z', '-x+y, y, z', 'x, x-y, z', 'y, x, z', 'x-y, -y, z', '-x, -x+y, z']], [['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, z', 'y, -x+y, z', 'x-y, x, z', 'y, x, -z', 'x-y, -y, -z', '-x, -x+y, -z', '-y, -x, -z', '-x+y, y, -z', 'x, x-y, -z', '-x, -y, -z', 'y, -x+y, -z', 'x-y, x, -z', 'x, y, -z', '-y, x-y, -z', '-x+y, -x, -z', '-y, -x, z', '-x+y, y, z', 'x, x-y, z', 'y, x, z', 'x-y, -y, z', '-x, -x+y, z']]]\"\n74,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1']], [['x, y, z', '-x+y, y, -z+1/2'], ['x, y, z'], ['x, y, z', '-y, -x, -z+1/2'], ['x, y, z'], ['x, y, z', 'x, x-y, -z+1/2'], ['x, y, z', '-y, -x, -z+1/2'], ['x, y, z', 'x, x-y, -z+3/2'], ['x, y, z'], ['x, y, z', '-y, -x, -z+3/2'], ['x, y, z'], ['x, y, z', '-x+y, y, -z+3/2'], ['x, y, z', '-y, -x, -z+3/2']], [['x, y, z', 'x-y, -y, -z+1/2'], ['x, y, z', '-x, -x+y, -z+1/2'], ['x, y, z', 'y, x, -z+1/2'], ['x, y, z', 'x-y, -y, -z+1/2'], ['x, y, z', '-x, -x+y, -z+1/2'], ['x, y, z', 'y, x, -z+1/2'], ['x, y, z', 'x-y, -y, -z+3/2'], ['x, y, z', '-x, -x+y, -z+3/2'], ['x, y, z', 'y, x, -z+3/2'], ['x, y, z', 'x-y, -y, -z+3/2'], ['x, y, z', '-x, -x+y, -z+3/2'], ['x, y, z', 'y, x, -z+3/2']], [['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, z', 'y, -x+y, z', 'x-y, x, z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, z', 'y, -x+y, z', 'x-y, x, z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, z', 'y, -x+y, z', 'x-y, x, z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, z', 'y, -x+y, z', 'x-y, x, z']], [['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, z', 'y, -x+y, z', 'x-y, x, z', '-x, -y, -z', 'y, -x+y, -z', 'x-y, x, -z', 'x, y, -z', '-y, x-y, -z', '-x+y, -x, -z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, z', 'y, -x+y, z', 'x-y, x, z', '-x, -y, -z+1', 'y, -x+y, -z+1', 'x-y, x, -z+1', 'x, y, -z+1', '-y, x-y, -z+1', '-x+y, -x, -z+1']], [['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, z', 'y, -x+y, z', 'x-y, x, z', 'y, x, -z+1/2', 'x-y, -y, -z+1/2', '-x, -x+y, -z+1/2', '-y, -x, -z+1/2', '-x+y, y, -z+1/2', 'x, x-y, -z+1/2'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, z', 'y, -x+y, z', 'x-y, x, z', 'y, x, -z+3/2', 'x-y, -y, -z+3/2', '-x, -x+y, -z+3/2', '-y, -x, -z+3/2', '-x+y, y, -z+3/2', 'x, x-y, -z+3/2']]]\"\n75,\"[[['x, y, z'], ['x, y, 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  },
  {
    "path": "pyxtal/database/spg_num_wps_aug.csv",
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2,1\r\n6,38,0-0-0-0-0-0-0-0-1-1-1-1-1-1-1-1-1-1-1-1-2-2-2-2-2-2-2-2-2-2,1\r\n6,38,0-0-0-0-0-0-0-0-1-1-1-1-1-1-1-1-1-1-2-2-2-2-2-2-2-2-2-2-2-2,1\r\n6,38,1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2,5\r\n6,38,1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2,1\r\n6,39,0-0-0-0-0-0-0-0-0-0-0-0-1-1-1-1-1-1-1-2-2-2-2-2-2-2-2,1\r\n6,39,0-0-0-0-0-0-0-0-0-0-1-1-1-1-1-1-1-1-1-2-2-2-2-2-2-2-2-2-2,1\r\n6,39,0-0-0-0-0-0-0-1-1-1-1-1-1-1-1-1-1-1-1-2-2-2-2-2-2-2-2-2-2-2-2-2,1\r\n6,39,1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2,1\r\n6,39,1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2,1\r\n6,39,1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2,1\r\n6,40,0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-1-1-1-1-2-2-2-2,1\r\n6,40,0-0-0-0-0-0-0-0-0-0-0-0-1-1-1-1-1-1-1-1-2-2-2-2-2-2-2-2,16\r\n6,40,0-0-0-0-0-0-0-0-0-0-1-1-1-1-1-1-1-1-1-1-2-2-2-2-2-2-2-2-2-2,1\r\n6,40,0-0-0-0-0-0-0-0-1-1-1-1-1-1-1-1-1-1-1-1-2-2-2-2-2-2-2-2-2-2-2-2,10\r\n6,40,1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2,1\r\n6,40,1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2,3\r\n6,41,0-0-0-0-0-0-0-0-0-0-0-0-0-1-1-1-1-1-1-1-2-2-2-2-2-2-2-2,2\r\n6,41,0-0-0-0-0-0-0-0-0-0-0-0-1-1-1-1-1-1-1-1-1-2-2-2-2-2-2-2-2,1\r\n6,42,0-0-0-0-0-0-0-0-0-0-0-0-0-0-1-1-1-1-1-1-2-2-2-2-2-2-2-2,1\r\n6,42,0-0-0-0-0-0-0-0-0-0-0-1-1-1-1-1-1-1-1-1-1-2-2-2-2-2-2-2-2-2-2,1\r\n6,42,0-0-0-0-0-0-0-0-0-1-1-1-1-1-1-1-1-1-1-1-1-2-2-2-2-2-2-2-2-2-2-2-2,4\r\n6,42,0-0-0-0-0-0-0-0-1-1-1-1-1-1-1-1-1-1-1-1-1-2-2-2-2-2-2-2-2-2-2-2-2-2,7\r\n6,42,1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2,1\r\n6,43,0-0-0-0-0-0-0-0-0-1-1-1-1-1-1-1-1-1-1-1-1-1-2-2-2-2-2-2-2-2-2-2-2-2,3\r\n6,43,0-0-0-0-0-0-0-0-0-1-1-1-1-1-1-1-1-1-1-1-1-2-2-2-2-2-2-2-2-2-2-2-2-2,4\r\n6,43,0-0-0-0-0-0-0-0-1-1-1-1-1-1-1-1-1-1-1-1-1-2-2-2-2-2-2-2-2-2-2-2-2-2-2,1\r\n6,43,1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2,1\r\n6,43,1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2,1\r\n6,44,0-0-0-0-0-0-0-0-0-0-0-0-1-1-1-1-1-1-1-1-1-1-2-2-2-2-2-2-2-2-2-2,1\r\n6,44,0-0-0-0-0-0-0-0-1-1-1-1-1-1-1-1-1-1-1-1-1-1-2-2-2-2-2-2-2-2-2-2-2-2-2-2,4\r\n6,45,0-0-0-0-0-0-0-0-0-0-0-0-1-1-1-1-1-1-1-1-1-1-1-2-2-2-2-2-2-2-2-2-2,1\r\n6,45,0-0-0-0-0-0-0-0-0-0-1-1-1-1-1-1-1-1-1-1-1-1-2-2-2-2-2-2-2-2-2-2-2-2-2,1\r\n6,45,1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2,1\r\n6,45,1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2,1\r\n6,45,1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2,1\r\n6,46,0-0-0-0-0-0-0-0-0-0-1-1-1-1-1-1-1-1-1-1-1-1-1-1-2-2-2-2-2-2-2-2-2-2-2-2,1\r\n6,46,1-1-1-1-1-1-1-1-1-1-1-1-1-1-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2,1\r\n6,47,1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2,1\r\n6,47,1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2,1\r\n6,48,0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-1-1-1-1-1-2-2-2-2-2,1\r\n6,48,0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-1-1-1-1-1-1-2-2-2-2-2-2,1\r\n6,48,0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-1-1-1-1-1-1-1-1-2-2-2-2-2-2-2-2,1\r\n6,48,0-0-0-0-0-0-0-0-0-0-0-0-0-0-1-1-1-1-1-1-1-1-1-1-2-2-2-2-2-2-2-2-2-2,1\r\n6,48,0-0-0-0-0-0-0-0-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2,2\r\n6,48,1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2,1\r\n6,49,0-0-0-0-0-0-0-0-0-0-0-0-1-1-1-1-1-1-1-1-1-1-1-1-2-2-2-2-2-2-2-2-2-2-2-2-2,3\r\n6,50,0-0-0-0-0-0-0-0-0-0-0-0-0-0-1-1-1-1-1-1-1-1-1-1-1-2-2-2-2-2-2-2-2-2-2-2,3\r\n6,50,0-0-0-0-0-0-0-0-0-0-0-0-1-1-1-1-1-1-1-1-1-1-1-1-1-2-2-2-2-2-2-2-2-2-2-2-2-2,1\r\n6,50,0-0-0-0-0-0-0-0-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2,1\r\n6,50,1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2,5\r\n6,52,0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-1-1-1-2-2-2,1\r\n6,52,0-0-0-0-0-0-0-0-0-0-0-0-0-1-1-1-1-1-1-1-1-1-1-1-1-1-2-2-2-2-2-2-2-2-2-2-2-2-2,1\r\n6,52,0-0-0-0-0-0-0-0-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2,30\r\n6,52,1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2,1\r\n6,53,0-0-0-0-0-0-0-0-0-0-0-0-0-0-1-1-1-1-1-1-1-1-1-1-1-1-2-2-2-2-2-2-2-2-2-2-2-2-2,1\r\n6,54,0-0-0-0-0-0-0-0-0-0-0-0-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-2-2-2-2-2-2-2-2-2-2-2-2-2-2,1\r\n6,54,1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2,28\r\n6,55,0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-1-1-1-1-1-1-1-2-2-2-2-2-2-2-2,1\r\n6,56,0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-1-1-1-1-2-2-2-2,1\r\n6,56,0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-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1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1,2\r\n8,140,0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-1-1-1-1-1-1-1-1-1-1-1-1-1-1,2\r\n8,140,0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1,2\r\n8,140,0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1,10\r\n8,140,0-0-0-0-0-0-0-0-0-0-0-0-0-0-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1,6\r\n8,142,0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-1-1-1-1-1,1\r\n8,142,0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-1-1-1-1-1-1-1-1-1-1-1,2\r\n8,142,1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1,3\r\n8,144,1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1,1\r\n8,146,0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-1-1-1-1-1-1-1-1-1-1-1-1-1,1\r\n8,150,1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1,1\r\n8,152,0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-1-1-1-1-1-1-1-1-1-1-1-1-1-1,1\r\n8,152,0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1,1\r\n8,154,0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-1-1-1-1-1-1-1-1-1-1-1,1\r\n8,158,0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1,1\r\n8,158,0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1,1\r\n8,160,0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1,1\r\n8,160,0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1,1\r\n8,162,0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1,2\r\n8,162,1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1,1\r\n8,164,0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1,2\r\n8,166,0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1,1\r\n8,166,0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1,3\r\n8,168,0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1,5\r\n8,168,0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1,8\r\n8,172,0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1,3\r\n8,174,0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-1-1-1-1-1-1-1,1\r\n8,174,0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1,1\r\n8,176,0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1,1\r\n8,178,0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1,1\r\n8,178,0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1,1\r\n8,178,0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1,1\r\n8,180,0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1,2\r\n8,184,0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1,1\r\n8,186,0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1,1\r\n8,186,0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1,1\r\n8,188,0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1,1\r\n8,190,0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1,1\r\n8,190,0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1,1\r\n8,192,0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-1-1-1-1-1-1-1-1-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\"-z,x,y+1/2\", \"y,z+1/2,-x\", \"-y,z,x+1/2\", \"y+1/2,-z,x\", \"-y+1/2,-z+1/2,-x+1/2\"]]]}}"
  },
  {
    "path": "pyxtal/database/test.cif",
    "content": "data_image0\n_chemical_formula_structural       H24C20O6S2\n_chemical_formula_sum              \"H24 C20 O6 S2\"\n_cell_length_a       3.94065\n_cell_length_b       10.8821\n_cell_length_c       12.1897\n_cell_angle_alpha    78.2042\n_cell_angle_beta     90.4306\n_cell_angle_gamma    85.7905\n\n_space_group_name_H-M_alt    \"P 1\"\n_space_group_IT_number       1\n\nloop_\n  _space_group_symop_operation_xyz\n  'x, y, z'\n\nloop_\n  _atom_site_type_symbol\n  _atom_site_label\n  _atom_site_symmetry_multiplicity\n  _atom_site_fract_x\n  _atom_site_fract_y\n  _atom_site_fract_z\n  _atom_site_occupancy\n  H   H1        1.0  0.42733  0.34277  0.85575  1.0000\n  H   H2        1.0  0.05569  0.18516  0.97082  1.0000\n  H   H3        1.0  0.47301  0.17193  0.02474  1.0000\n  H   H4        1.0  0.48561  0.41004  0.97424  1.0000\n  H   H5        1.0  0.07643  0.42074  0.91176  1.0000\n  H   H6        1.0  0.92357  0.57926  0.08824  1.0000\n  H   H7        1.0  0.27814  0.02956  0.55835  1.0000\n  H   H8        1.0  0.13949  0.25988  0.58485  1.0000\n  H   H9        1.0  0.60331  0.54051  0.64740  1.0000\n  H   H10       1.0  0.20495  0.47182  0.67628  1.0000\n  H   H11       1.0  0.26692  0.57543  0.54428  1.0000\n  H   H12       1.0  0.12584  0.68176  0.88753  1.0000\n  H   H13       1.0  0.70916  0.69505  0.83669  1.0000\n  H   H14       1.0  0.94431  0.81484  0.02918  1.0000\n  H   H15       1.0  0.52699  0.82807  0.97526  1.0000\n  H   H16       1.0  0.51439  0.58996  0.02576  1.0000\n  H   H17       1.0  0.29084  0.30495  0.16331  1.0000\n  H   H18       1.0  0.87416  0.31824  0.11247  1.0000\n  H   H19       1.0  0.57267  0.65723  0.14425  1.0000\n  H   H20       1.0  0.79505  0.52818  0.32372  1.0000\n  H   H21       1.0  0.39669  0.45949  0.35260  1.0000\n  H   H22       1.0  0.86051  0.74012  0.41515  1.0000\n  H   H23       1.0  0.72186  0.97044  0.44165  1.0000\n  H   H24       1.0  0.73308  0.42457  0.45572  1.0000\n  C   C1        1.0  0.99021  0.91289  0.30415  1.0000\n  C   C2        1.0  0.67258  0.44516  0.36550  1.0000\n  C   C3        1.0  0.68992  0.64130  0.06669  1.0000\n  C   C4        1.0  0.76135  0.76511  0.98914  1.0000\n  C   C5        1.0  0.89271  0.74531  0.87557  1.0000\n  C   C6        1.0  0.32742  0.55484  0.63450  1.0000\n  C   C7        1.0  0.84623  0.99795  0.36214  1.0000\n  C   C8        1.0  0.27232  0.77219  0.63653  1.0000\n  C   C9        1.0  0.00386  0.22467  0.66321  1.0000\n  C   C10       1.0  0.99614  0.77533  0.33679  1.0000\n  C   C11       1.0  0.00979  0.08711  0.69585  1.0000\n  C   C12       1.0  0.15377  0.00205  0.63786  1.0000\n  C   C13       1.0  0.12553  0.87436  0.69115  1.0000\n  C   C14       1.0  0.96090  0.86337  0.79265  1.0000\n  C   C15       1.0  0.03910  0.13663  0.20735  1.0000\n  C   C16       1.0  0.10729  0.25469  0.12443  1.0000\n  C   C17       1.0  0.23865  0.23489  0.01086  1.0000\n  C   C18       1.0  0.31008  0.35870  0.93331  1.0000\n  C   C19       1.0  0.87447  0.12564  0.30885  1.0000\n  C   C20       1.0  0.72768  0.22781  0.36347  1.0000\n  O   O1        1.0  0.19108  0.65654  0.68457  1.0000\n  O   O2        1.0  0.54705  0.20728  0.44454  1.0000\n  O   O3        1.0  0.80892  0.34346  0.31543  1.0000\n  O   O4        1.0  0.45295  0.79272  0.55546  1.0000\n  O   O5        1.0  0.86379  0.29667  0.71567  1.0000\n  O   O6        1.0  0.13621  0.70333  0.28433  1.0000\n  S   S1        1.0  0.82922  0.01076  0.81647  1.0000\n  S   S2        1.0  0.17078  0.98924  0.18353  1.0000\n\n"
  },
  {
    "path": "pyxtal/database/wyckoff_generators.csv",
    "content": ",0\n0,\n1,\"[['x, y, z']]\"\n2,\"[['x, y, z', '-x, -y, -z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']]\"\n3,\"[['x, y, z', '-x, y, -z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']]\"\n4,\"[['x, y, z', '-x, y+1/2, -z']]\"\n5,\"[['x, y, z', '-x, y, -z', 'x+1/2, y+1/2, z', '-x+1/2, y+1/2, -z'], ['x, y, z', 'x+1/2, y+1/2, z'], ['x, y, z', 'x+1/2, y+1/2, z']]\"\n6,\"[['x, y, z', 'x, -y, z'], ['x, y, z'], ['x, y, z']]\"\n7,\"[['x, y, z', 'x, -y, z+1/2']]\"\n8,\"[['x, y, z', 'x, -y, z', 'x+1/2, y+1/2, z', 'x+1/2, -y+1/2, z'], ['x, y, z', 'x+1/2, y+1/2, z']]\"\n9,\"[['x, y, z', 'x, -y, z+1/2', 'x+1/2, y+1/2, z', 'x+1/2, -y+1/2, z+1/2']]\"\n10,\"[['x, y, z', '-x, y, -z', '-x, -y, -z', 'x, -y, z'], ['x, y, z', '-x, y, -z'], ['x, y, z', '-x, y, -z'], ['x, y, z', '-x, -y, -z'], ['x, y, z', '-x, -y, -z'], ['x, y, z', '-x, -y, -z'], ['x, y, z', '-x, -y, -z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']]\"\n11,\"[['x, y, z', '-x, y+1/2, -z', '-x, -y, -z', 'x, -y+1/2, z'], ['x, y, z', '-x, y+1/2, -z'], ['x, y, z', '-x, y+1/2, -z'], ['x, y, z', '-x, y+1/2, -z'], ['x, y, z', '-x, y+1/2, -z'], ['x, y, z', '-x, y+1/2, -z']]\"\n12,\"[['x, y, z', '-x, y, -z', '-x, -y, -z', 'x, -y, z', 'x+1/2, y+1/2, z', '-x+1/2, y+1/2, -z', '-x+1/2, -y+1/2, -z', 'x+1/2, -y+1/2, z'], ['x, y, z', '-x, y, -z', 'x+1/2, y+1/2, z', '-x+1/2, y+1/2, -z'], ['x, y, z', '-x, -y, -z', 'x+1/2, y+1/2, z', '-x+1/2, -y+1/2, -z'], ['x, y, z', '-x, -y, -z', 'x+1/2, y+1/2, z', '-x+1/2, -y+1/2, -z'], ['x, y, z', '-x, y, -z', '-x, -y, -z', 'x, -y, z'], ['x, y, z', '-x, y, -z', '-x, -y, -z', 'x, -y, z'], ['x, y, z', 'x+1/2, y+1/2, z'], ['x, y, z', 'x+1/2, y+1/2, z'], ['x, y, z', 'x+1/2, y+1/2, z'], ['x, y, z', 'x+1/2, y+1/2, z']]\"\n13,\"[['x, y, z', '-x, y, -z+1/2', '-x, -y, -z', 'x, -y, z+1/2'], ['x, y, z', '-x, -y, -z'], ['x, y, z', '-x, -y, -z'], ['x, y, z', '-x, y, -z+1/2'], ['x, y, z', '-x, y, -z+1/2'], ['x, y, z', '-x, y, -z+1/2'], ['x, y, z', '-x, y, -z+1/2']]\"\n14,\"[['x, y, z', '-x, y+1/2, -z+1/2', '-x, -y, -z', 'x, -y+1/2, z+1/2'], ['x, y, z', '-x, y+1/2, -z+1/2'], ['x, y, z', '-x, y+1/2, -z+1/2'], ['x, y, z', '-x, y+1/2, -z+1/2'], ['x, y, z', '-x, y+1/2, -z+1/2']]\"\n15,\"[['x, y, z', '-x, y, -z+1/2', '-x, -y, -z', 'x, -y, z+1/2', 'x+1/2, y+1/2, z', '-x+1/2, y+1/2, -z+1/2', '-x+1/2, -y+1/2, -z', 'x+1/2, -y+1/2, z+1/2'], ['x, y, z', '-x, -y, -z', 'x+1/2, y+1/2, z', '-x+1/2, -y+1/2, -z'], ['x, y, z', '-x, y, -z+1/2', '-x, -y, -z', 'x, -y, z+1/2'], ['x, y, z', '-x, y, -z+1/2', '-x, -y, -z', 'x, -y, z+1/2'], ['x, y, z', '-x, y, -z+1/2', 'x+1/2, y+1/2, z', '-x+1/2, y+1/2, -z+1/2'], ['x, y, z', '-x, y, -z+1/2', 'x+1/2, y+1/2, z', '-x+1/2, y+1/2, -z+1/2']]\"\n16,\"[['x, y, z', '-x, -y, z', '-x, y, -z', 'x, -y, -z'], ['x, y, z', '-x, y, -z'], ['x, y, z', '-x, y, -z'], ['x, y, z', '-x, y, -z'], ['x, y, z', '-x, y, -z'], ['x, y, z', '-x, -y, z'], ['x, y, z', '-x, -y, z'], ['x, y, z', '-x, -y, z'], ['x, y, z', '-x, -y, z'], ['x, y, z', '-x, -y, z'], ['x, y, z', '-x, -y, z'], ['x, y, z', '-x, -y, z'], ['x, y, z', '-x, -y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']]\"\n17,\"[['x, y, z', '-x, -y, z+1/2', '-x, y, -z+1/2', 'x, -y, -z'], ['x, y, z', '-x, -y, z+1/2'], ['x, y, z', '-x, -y, z+1/2'], ['x, y, z', '-x, -y, z+1/2'], ['x, y, z', '-x, -y, z+1/2']]\"\n18,\"[['x, y, z', '-x, -y, z', '-x+1/2, y+1/2, -z', 'x+1/2, -y+1/2, -z'], ['x, y, z', '-x+1/2, y+1/2, -z'], ['x, y, z', '-x+1/2, y+1/2, -z']]\"\n19,\"[['x, y, z', '-x+1/2, -y, z+1/2', '-x, y+1/2, -z+1/2', 'x+1/2, -y+1/2, -z']]\"\n20,\"[['x, y, z', '-x, -y, z+1/2', '-x, y, -z+1/2', 'x, -y, -z', 'x+1/2, y+1/2, z', '-x+1/2, -y+1/2, z+1/2', '-x+1/2, y+1/2, -z+1/2', 'x+1/2, -y+1/2, -z'], ['x, y, z', '-x, -y, z+1/2', 'x+1/2, y+1/2, z', '-x+1/2, -y+1/2, z+1/2'], ['x, y, z', '-x, -y, z+1/2', 'x+1/2, y+1/2, z', '-x+1/2, -y+1/2, z+1/2']]\"\n21,\"[['x, y, z', '-x, -y, z', '-x, y, -z', 'x, -y, -z', 'x+1/2, y+1/2, z', '-x+1/2, -y+1/2, z', '-x+1/2, y+1/2, -z', 'x+1/2, -y+1/2, -z'], ['x, y, z', '-x, -y, z', '-x, y, -z', 'x, -y, -z'], ['x, y, z', '-x, y, -z', 'x+1/2, y+1/2, z', '-x+1/2, y+1/2, -z'], ['x, y, z', '-x, y, -z', 'x+1/2, y+1/2, z', '-x+1/2, y+1/2, -z'], ['x, y, z', '-x, -y, z', 'x+1/2, y+1/2, z', '-x+1/2, -y+1/2, z'], ['x, y, z', '-x, -y, z', 'x+1/2, y+1/2, z', '-x+1/2, -y+1/2, z'], ['x, y, z', '-x, -y, z', 'x+1/2, y+1/2, z', '-x+1/2, -y+1/2, z'], ['x, y, z', '-x, -y, z', 'x+1/2, y+1/2, z', '-x+1/2, -y+1/2, z'], ['x, y, z', 'x+1/2, y+1/2, z'], ['x, y, z', 'x+1/2, y+1/2, z'], ['x, y, z', 'x+1/2, y+1/2, z'], ['x, y, z', 'x+1/2, y+1/2, z']]\"\n22,\"[['x, y, z', '-x, -y, z', '-x, y, -z', 'x, -y, -z', 'x, y+1/2, z+1/2', '-x, -y+1/2, z+1/2', '-x, y+1/2, -z+1/2', 'x, -y+1/2, -z+1/2', 'x+1/2, y, z+1/2', '-x+1/2, -y, z+1/2', '-x+1/2, y, -z+1/2', 'x+1/2, -y, -z+1/2', 'x+1/2, y+1/2, z', '-x+1/2, -y+1/2, z', '-x+1/2, y+1/2, -z', 'x+1/2, -y+1/2, -z'], ['x, y, z', '-x, -y, z', '-x, y, -z', 'x, -y, -z', 'x+1/2, y, z+1/2', '-x+1/2, -y, z+1/2', '-x+1/2, y, -z+1/2', 'x+1/2, -y, -z+1/2'], ['x, y, z', '-x, -y, z', '-x, y, -z', 'x, -y, -z', 'x, y+1/2, z+1/2', '-x, -y+1/2, z+1/2', '-x, y+1/2, -z+1/2', 'x, -y+1/2, -z+1/2'], ['x, y, z', '-x, -y, z', '-x, y, -z', 'x, -y, -z', 'x, y+1/2, z+1/2', '-x, -y+1/2, z+1/2', '-x, y+1/2, -z+1/2', 'x, -y+1/2, -z+1/2'], ['x, y, z', '-x, y, -z', 'x, y+1/2, z+1/2', '-x, y+1/2, -z+1/2', 'x+1/2, y, z+1/2', '-x+1/2, y, -z+1/2', 'x+1/2, y+1/2, z', '-x+1/2, y+1/2, -z'], ['x, y, z', '-x, -y, z', 'x, y+1/2, z+1/2', '-x, -y+1/2, z+1/2', 'x+1/2, y, z+1/2', '-x+1/2, -y, z+1/2', 'x+1/2, y+1/2, z', '-x+1/2, -y+1/2, z'], ['x, y, z', '-x, -y, z', 'x, y+1/2, z+1/2', '-x, -y+1/2, z+1/2', 'x+1/2, y, z+1/2', '-x+1/2, -y, z+1/2', 'x+1/2, y+1/2, z', '-x+1/2, -y+1/2, z'], ['x, y, z', '-x, -y, z', '-x, y, -z', 'x, -y, -z'], ['x, y, z', '-x, -y, z', '-x, y, -z', 'x, -y, -z'], ['x, y, z', 'x, y+1/2, z+1/2', 'x+1/2, y, z+1/2', 'x+1/2, y+1/2, z'], ['x, y, z', 'x, y+1/2, z+1/2', 'x+1/2, y, z+1/2', 'x+1/2, y+1/2, z']]\"\n23,\"[['x, y, z', '-x, -y, z', '-x, y, -z', 'x, -y, -z', 'x+1/2, y+1/2, z+1/2', '-x+1/2, -y+1/2, z+1/2', '-x+1/2, y+1/2, -z+1/2', 'x+1/2, -y+1/2, -z+1/2'], ['x, y, z', '-x, y, -z', 'x+1/2, y+1/2, z+1/2', '-x+1/2, y+1/2, -z+1/2'], ['x, y, z', '-x, y, -z', 'x+1/2, y+1/2, z+1/2', '-x+1/2, y+1/2, -z+1/2'], ['x, y, z', '-x, -y, z', 'x+1/2, y+1/2, z+1/2', '-x+1/2, -y+1/2, z+1/2'], ['x, y, z', '-x, -y, z', 'x+1/2, y+1/2, z+1/2', '-x+1/2, -y+1/2, z+1/2'], ['x, y, z', '-x, -y, z', 'x+1/2, y+1/2, z+1/2', '-x+1/2, -y+1/2, z+1/2'], ['x, y, z', '-x, -y, z', 'x+1/2, y+1/2, z+1/2', '-x+1/2, -y+1/2, z+1/2'], ['x, y, z', 'x+1/2, y+1/2, z+1/2'], ['x, y, z', 'x+1/2, y+1/2, z+1/2'], ['x, y, z', 'x+1/2, y+1/2, z+1/2'], ['x, y, z', 'x+1/2, y+1/2, z+1/2']]\"\n24,\"[['x, y, z', '-x+1/2, -y, z+1/2', '-x, y+1/2, -z+1/2', 'x+1/2, -y+1/2, -z', 'x+1/2, y+1/2, z+1/2', '-x+1, -y+1/2, z+1', '-x+1/2, y+1, -z+1', 'x+1, -y+1, -z+1/2'], ['x, y, z', '-x+1/2, -y, z+1/2', '-x, y+1/2, -z+1/2', 'x+1/2, -y+1/2, -z'], ['x, y, z', '-x+1/2, -y, z+1/2', '-x, y+1/2, -z+1/2', 'x+1/2, -y+1/2, -z'], ['x, y, z', '-x+1/2, -y, z+1/2', '-x, y+1/2, -z+1/2', 'x+1/2, -y+1/2, -z']]\"\n25,\"[['x, y, z', '-x, -y, z', 'x, -y, z', '-x, y, z'], ['x, y, z', '-x, -y, z'], ['x, y, z', '-x, -y, z'], ['x, y, z', '-x, -y, z'], ['x, y, z', '-x, -y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']]\"\n26,\"[['x, y, z', '-x, -y, z+1/2', 'x, -y, z+1/2', '-x, y, z'], ['x, y, z', '-x, -y, z+1/2'], ['x, y, z', '-x, -y, z+1/2']]\"\n27,\"[['x, y, z', '-x, -y, z', 'x, -y, z+1/2', '-x, y, z+1/2'], ['x, y, z', 'x, -y, z+1/2'], ['x, y, z', 'x, -y, z+1/2'], ['x, y, z', 'x, -y, z+1/2'], ['x, y, z', 'x, -y, z+1/2']]\"\n28,\"[['x, y, z', '-x, -y, z', 'x+1/2, -y, z', '-x+1/2, y, z'], ['x, y, z', '-x, -y, z'], ['x, y, z', 'x+1/2, -y, z'], ['x, y, z', 'x+1/2, -y, z']]\"\n29,\"[['x, y, z', '-x, -y, z+1/2', 'x+1/2, -y, z', '-x+1/2, y, z+1/2']]\"\n30,\"[['x, y, z', '-x, -y, z', 'x, -y+1/2, z+1/2', '-x, y+1/2, z+1/2'], ['x, y, z', 'x, -y+1/2, z+1/2'], ['x, y, z', 'x, -y+1/2, z+1/2']]\"\n31,\"[['x, y, z', '-x+1/2, -y, z+1/2', 'x+1/2, -y, z+1/2', '-x, y, z'], ['x, y, z', '-x+1/2, -y, z+1/2']]\"\n32,\"[['x, y, z', '-x, -y, z', 'x+1/2, -y+1/2, z', '-x+1/2, y+1/2, z'], ['x, y, z', 'x+1/2, -y+1/2, z'], ['x, y, z', 'x+1/2, -y+1/2, z']]\"\n33,\"[['x, y, z', '-x, -y, z+1/2', 'x+1/2, -y+1/2, z', '-x+1/2, y+1/2, z+1/2']]\"\n34,\"[['x, y, z', '-x, -y, z', 'x+1/2, -y+1/2, z+1/2', '-x+1/2, y+1/2, z+1/2'], ['x, y, z', 'x+1/2, -y+1/2, z+1/2'], ['x, y, z', 'x+1/2, -y+1/2, z+1/2']]\"\n35,\"[['x, y, z', '-x, -y, z', 'x, -y, z', '-x, y, z', 'x+1/2, y+1/2, z', '-x+1/2, -y+1/2, z', 'x+1/2, -y+1/2, z', '-x+1/2, y+1/2, z'], ['x, y, z', '-x, -y, z', 'x+1/2, y+1/2, z', '-x+1/2, -y+1/2, z'], ['x, y, z', '-x, -y, z', 'x+1/2, y+1/2, z', '-x+1/2, -y+1/2, z'], ['x, y, z', '-x, -y, z', 'x, -y, z', '-x, y, z'], ['x, y, z', 'x+1/2, y+1/2, z'], ['x, y, z', 'x+1/2, y+1/2, z']]\"\n36,\"[['x, y, z', '-x, -y, z+1/2', 'x, -y, z+1/2', '-x, y, z', 'x+1/2, y+1/2, z', '-x+1/2, -y+1/2, z+1/2', 'x+1/2, -y+1/2, z+1/2', '-x+1/2, y+1/2, z'], ['x, y, z', '-x, -y, z+1/2', 'x+1/2, y+1/2, z', '-x+1/2, -y+1/2, z+1/2']]\"\n37,\"[['x, y, z', '-x, -y, z', 'x, -y, z+1/2', '-x, y, z+1/2', 'x+1/2, y+1/2, z', '-x+1/2, -y+1/2, z', 'x+1/2, -y+1/2, z+1/2', '-x+1/2, y+1/2, z+1/2'], ['x, y, z', '-x, -y, z', 'x, -y, z+1/2', '-x, y, z+1/2'], ['x, y, z', 'x, -y, z+1/2', 'x+1/2, y+1/2, z', 'x+1/2, -y+1/2, z+1/2'], ['x, y, z', 'x, -y, z+1/2', 'x+1/2, y+1/2, z', 'x+1/2, -y+1/2, z+1/2']]\"\n38,\"[['x, y, z', '-x, -y, z', 'x, -y, z', '-x, y, z', 'x, y+1/2, z+1/2', '-x, -y+1/2, z+1/2', 'x, -y+1/2, z+1/2', '-x, y+1/2, z+1/2'], ['x, y, z', '-x, -y, z', 'x, y+1/2, z+1/2', '-x, -y+1/2, z+1/2'], ['x, y, z', '-x, -y, z', 'x, y+1/2, z+1/2', '-x, -y+1/2, z+1/2'], ['x, y, z', '-x, -y, z', 'x, y+1/2, z+1/2', '-x, -y+1/2, z+1/2'], ['x, y, z', 'x, y+1/2, z+1/2'], ['x, y, z', 'x, y+1/2, z+1/2']]\"\n39,\"[['x, y, z', '-x, -y, z', 'x, -y+1/2, z', '-x, y+1/2, z', 'x, y+1/2, z+1/2', '-x, -y+1/2, z+1/2', 'x, -y+1, z+1/2', '-x, y+1, z+1/2'], ['x, y, z', '-x, -y, z', 'x, y+1/2, z+1/2', '-x, -y+1/2, z+1/2'], ['x, y, z', 'x, -y+1/2, z', 'x, y+1/2, z+1/2', 'x, -y+1, z+1/2'], ['x, y, z', 'x, -y+1/2, z', 'x, y+1/2, z+1/2', 'x, -y+1, z+1/2']]\"\n40,\"[['x, y, z', '-x, -y, z', 'x+1/2, -y, z', '-x+1/2, y, z', 'x, y+1/2, z+1/2', '-x, -y+1/2, z+1/2', 'x+1/2, -y+1/2, z+1/2', '-x+1/2, y+1/2, z+1/2'], ['x, y, z', '-x, -y, z', 'x, y+1/2, z+1/2', '-x, -y+1/2, z+1/2'], ['x, y, z', 'x+1/2, -y, z', 'x, y+1/2, z+1/2', 'x+1/2, -y+1/2, z+1/2']]\"\n41,\"[['x, y, z', '-x, -y, z', 'x+1/2, -y+1/2, z', '-x+1/2, y+1/2, z', 'x, y+1/2, z+1/2', '-x, -y+1/2, z+1/2', 'x+1/2, -y+1, z+1/2', '-x+1/2, y+1, z+1/2'], ['x, y, z', 'x+1/2, -y+1/2, z', 'x, y+1/2, z+1/2', 'x+1/2, -y+1, z+1/2']]\"\n42,\"[['x, y, z', '-x, -y, z', 'x, -y, z', '-x, y, z', 'x, y+1/2, z+1/2', '-x, -y+1/2, z+1/2', 'x, -y+1/2, z+1/2', '-x, y+1/2, z+1/2', 'x+1/2, y, z+1/2', '-x+1/2, -y, z+1/2', 'x+1/2, -y, z+1/2', '-x+1/2, y, z+1/2', 'x+1/2, y+1/2, z', '-x+1/2, -y+1/2, z', 'x+1/2, -y+1/2, z', '-x+1/2, y+1/2, z'], ['x, y, z', '-x, -y, z', 'x, y+1/2, z+1/2', '-x, -y+1/2, z+1/2', 'x+1/2, y, z+1/2', '-x+1/2, -y, z+1/2', 'x+1/2, y+1/2, z', '-x+1/2, -y+1/2, z'], ['x, y, z', '-x, -y, z', 'x, y+1/2, z+1/2', '-x, -y+1/2, z+1/2', 'x+1/2, y, z+1/2', '-x+1/2, -y, z+1/2', 'x+1/2, y+1/2, z', '-x+1/2, -y+1/2, z'], ['x, y, z', '-x, -y, z', 'x, -y, z', '-x, y, z', 'x, y+1/2, z+1/2', '-x, -y+1/2, z+1/2', 'x, -y+1/2, z+1/2', '-x, y+1/2, z+1/2'], ['x, y, z', 'x, y+1/2, z+1/2', 'x+1/2, y, z+1/2', 'x+1/2, y+1/2, z']]\"\n43,\"[['x, y, z', '-x, -y, z', 'x+1/4, -y+1/4, z+1/4', '-x+1/4, y+1/4, z+1/4', 'x, y+1/2, z+1/2', '-x, -y+1/2, z+1/2', 'x+1/4, -y+3/4, z+3/4', '-x+1/4, y+3/4, z+3/4', 'x+1/2, y, z+1/2', '-x+1/2, -y, z+1/2', 'x+3/4, -y+1/4, z+3/4', '-x+3/4, y+1/4, z+3/4', 'x+1/2, y+1/2, z', '-x+1/2, -y+1/2, z', 'x+3/4, -y+3/4, z+1/4', '-x+3/4, y+3/4, z+1/4'], ['x, y, z', 'x+1/4, -y+1/4, z+1/4', 'x, y+1/2, z+1/2', 'x+1/4, -y+3/4, z+3/4', 'x+1/2, y, z+1/2', 'x+3/4, -y+1/4, z+3/4', 'x+1/2, y+1/2, z', 'x+3/4, -y+3/4, z+1/4']]\"\n44,\"[['x, y, z', '-x, -y, z', 'x, -y, z', '-x, y, z', 'x+1/2, y+1/2, z+1/2', '-x+1/2, -y+1/2, z+1/2', 'x+1/2, -y+1/2, z+1/2', '-x+1/2, y+1/2, z+1/2'], ['x, y, z', '-x, -y, z', 'x+1/2, y+1/2, z+1/2', '-x+1/2, -y+1/2, z+1/2'], ['x, y, z', '-x, -y, z', 'x+1/2, y+1/2, z+1/2', '-x+1/2, -y+1/2, z+1/2'], ['x, y, z', 'x+1/2, y+1/2, z+1/2'], ['x, y, z', 'x+1/2, y+1/2, z+1/2']]\"\n45,\"[['x, y, z', '-x, -y, z', 'x+1/2, -y+1/2, z', '-x+1/2, y+1/2, z', 'x+1/2, y+1/2, z+1/2', '-x+1/2, -y+1/2, z+1/2', 'x+1, -y+1, z+1/2', '-x+1, y+1, z+1/2'], ['x, y, z', 'x+1/2, -y+1/2, z', 'x+1/2, y+1/2, z+1/2', 'x+1, -y+1, z+1/2'], ['x, y, z', 'x+1/2, -y+1/2, z', 'x+1/2, y+1/2, z+1/2', 'x+1, -y+1, z+1/2']]\"\n46,\"[['x, y, z', '-x, -y, z', 'x+1/2, -y, z', '-x+1/2, y, z', 'x+1/2, y+1/2, z+1/2', '-x+1/2, -y+1/2, z+1/2', 'x+1, -y+1/2, z+1/2', '-x+1, y+1/2, z+1/2'], ['x, y, z', '-x, -y, z', 'x+1/2, y+1/2, z+1/2', '-x+1/2, -y+1/2, z+1/2'], ['x, y, z', 'x+1/2, -y, z', 'x+1/2, y+1/2, z+1/2', 'x+1, -y+1/2, z+1/2']]\"\n47,\"[['x, y, z', '-x, -y, z', '-x, y, -z', 'x, -y, -z', '-x, -y, -z', 'x, y, -z', 'x, -y, z', '-x, y, z'], ['x, y, z', '-x, -y, z', '-x, y, -z', 'x, -y, -z'], ['x, y, z', '-x, -y, z', '-x, y, -z', 'x, -y, -z'], ['x, y, z', '-x, -y, z', '-x, y, -z', 'x, -y, -z'], ['x, y, z', '-x, -y, z', '-x, y, -z', 'x, -y, -z'], ['x, y, z', '-x, -y, z', '-x, y, -z', 'x, -y, -z'], ['x, y, z', '-x, -y, z', '-x, y, -z', 'x, -y, -z'], ['x, y, z', '-x, y, -z'], ['x, y, z', '-x, y, -z'], ['x, y, z', '-x, y, -z'], ['x, y, z', '-x, y, -z'], ['x, y, z', '-x, -y, z'], ['x, y, z', '-x, -y, z'], ['x, y, z', '-x, -y, z'], ['x, y, z', '-x, -y, z'], ['x, y, z', '-x, -y, z'], ['x, y, z', '-x, -y, z'], ['x, y, z', '-x, -y, z'], ['x, y, z', '-x, -y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']]\"\n48,\"[['x, y, z', '-x+1/2, -y+1/2, z', '-x+1/2, y, -z+1/2', 'x, -y+1/2, -z+1/2', '-x, -y, -z', 'x+1/2, y+1/2, -z', 'x+1/2, -y, z+1/2', '-x, y+1/2, z+1/2'], ['x, y, z', '-x+1/2, y, -z+1/2', '-x, -y, -z', 'x+1/2, -y, z+1/2'], ['x, y, z', '-x+1/2, y, -z+1/2', '-x, -y, -z', 'x+1/2, -y, z+1/2'], ['x, y, z', '-x+1/2, -y+1/2, z', '-x, -y, -z', 'x+1/2, y+1/2, -z'], ['x, y, z', '-x+1/2, -y+1/2, z', '-x, -y, -z', 'x+1/2, y+1/2, -z'], ['x, y, z', '-x+1/2, -y+1/2, z', '-x, -y, -z', 'x+1/2, y+1/2, -z'], ['x, y, z', '-x+1/2, -y+1/2, z', '-x, -y, -z', 'x+1/2, y+1/2, -z'], ['x, y, z', '-x+1/2, -y+1/2, z', '-x+1/2, y, -z+1/2', 'x, -y+1/2, -z+1/2'], ['x, y, z', '-x+1/2, -y+1/2, z', '-x+1/2, y, -z+1/2', 'x, -y+1/2, -z+1/2'], ['x, y, z', '-x, -y, -z'], ['x, y, z', '-x, -y, -z'], ['x, y, z', '-x, -y, -z'], ['x, y, z', '-x, -y, -z']]\"\n49,\"[['x, y, z', '-x, -y, z', '-x, y, -z+1/2', 'x, -y, -z+1/2', '-x, -y, -z', 'x, y, -z', 'x, -y, z+1/2', '-x, y, z+1/2'], ['x, y, z', '-x, -y, z', '-x, y, -z+1/2', 'x, -y, -z+1/2'], ['x, y, z', '-x, y, -z+1/2', '-x, -y, -z', 'x, -y, z+1/2'], ['x, y, z', '-x, y, -z+1/2', '-x, -y, -z', 'x, -y, z+1/2'], ['x, y, z', '-x, y, -z+1/2', '-x, -y, -z', 'x, -y, z+1/2'], ['x, y, z', '-x, y, -z+1/2', '-x, -y, -z', 'x, -y, z+1/2'], ['x, y, z', '-x, -y, z', '-x, -y, -z', 'x, y, -z'], ['x, y, z', '-x, -y, z', '-x, -y, -z', 'x, y, -z'], ['x, y, z', '-x, -y, z', '-x, -y, -z', 'x, y, -z'], ['x, y, z', '-x, -y, z', '-x, -y, -z', 'x, y, -z'], ['x, y, z', '-x, -y, -z'], ['x, y, z', '-x, -y, -z'], ['x, y, z', '-x, -y, -z'], ['x, y, z', '-x, -y, -z'], ['x, y, z', '-x, y, -z+1/2'], ['x, y, z', '-x, y, -z+1/2'], ['x, y, z', '-x, y, -z+1/2'], ['x, y, z', '-x, y, -z+1/2']]\"\n50,\"[['x, y, z', '-x+1/2, -y+1/2, z', '-x+1/2, y, -z', 'x, -y+1/2, -z', '-x, -y, -z', 'x+1/2, y+1/2, -z', 'x+1/2, -y, z', '-x, y+1/2, z'], ['x, y, z', '-x+1/2, y, -z', '-x, -y, -z', 'x+1/2, -y, z'], ['x, y, z', '-x+1/2, y, -z', '-x, -y, -z', 'x+1/2, -y, z'], ['x, y, z', '-x+1/2, -y+1/2, z', '-x, -y, -z', 'x+1/2, y+1/2, -z'], ['x, y, z', '-x+1/2, -y+1/2, z', '-x, -y, -z', 'x+1/2, y+1/2, -z'], ['x, y, z', '-x+1/2, -y+1/2, z', '-x, -y, -z', 'x+1/2, y+1/2, -z'], ['x, y, z', '-x+1/2, -y+1/2, z', '-x, -y, -z', 'x+1/2, y+1/2, -z'], ['x, y, z', '-x+1/2, -y+1/2, z', '-x+1/2, y, -z', 'x, -y+1/2, -z'], ['x, y, z', '-x+1/2, -y+1/2, z', '-x+1/2, y, -z', 'x, -y+1/2, -z'], ['x, y, z', '-x, -y, -z'], ['x, y, z', '-x, -y, -z'], ['x, y, z', '-x, -y, -z'], ['x, y, z', '-x, -y, -z']]\"\n51,\"[['x, y, z', '-x+1/2, -y, z', '-x, y, -z', 'x+1/2, -y, -z', '-x, -y, -z', 'x+1/2, y, -z', 'x, -y, z', '-x+1/2, y, z'], ['x, y, z', '-x+1/2, -y, z', '-x, y, -z', 'x+1/2, -y, -z'], ['x, y, z', '-x+1/2, -y, z', '-x, y, -z', 'x+1/2, -y, -z'], ['x, y, z', '-x+1/2, -y, z', '-x, y, -z', 'x+1/2, -y, -z'], ['x, y, z', '-x+1/2, -y, z', '-x, -y, -z', 'x+1/2, y, -z'], ['x, y, z', '-x+1/2, -y, z', '-x, -y, -z', 'x+1/2, y, -z'], ['x, y, z', '-x, y, -z'], ['x, y, z', '-x, y, -z'], ['x, y, z', '-x+1/2, -y, z'], ['x, y, z', '-x+1/2, -y, z'], ['x, y, z', '-x+1/2, -y, z'], ['x, y, z', '-x+1/2, -y, z']]\"\n52,\"[['x, y, z', '-x+1/2, -y, z', '-x+1/2, y+1/2, -z+1/2', 'x, -y+1/2, -z+1/2', '-x, -y, -z', 'x+1/2, y, -z', 'x+1/2, -y+1/2, z+1/2', '-x, y+1/2, z+1/2'], ['x, y, z', '-x+1/2, -y, z', '-x, -y, -z', 'x+1/2, y, -z'], ['x, y, z', '-x+1/2, y+1/2, -z+1/2', '-x, -y, -z', 'x+1/2, -y+1/2, z+1/2'], ['x, y, z', '-x+1/2, -y, z', '-x+1/2, y+1/2, -z+1/2', 'x, -y+1/2, -z+1/2'], ['x, y, z', '-x+1/2, -y, z', '-x+1/2, y+1/2, -z+1/2', 'x, -y+1/2, -z+1/2']]\"\n53,\"[['x, y, z', '-x+1/2, -y, z+1/2', '-x+1/2, y, -z+1/2', 'x, -y, -z', '-x, -y, -z', 'x+1/2, y, -z+1/2', 'x+1/2, -y, z+1/2', '-x, y, z'], ['x, y, z', '-x+1/2, -y, z+1/2', '-x+1/2, y, -z+1/2', 'x, -y, -z'], ['x, y, z', '-x+1/2, -y, z+1/2', '-x, -y, -z', 'x+1/2, y, -z+1/2'], ['x, y, z', '-x+1/2, -y, z+1/2', '-x, -y, -z', 'x+1/2, y, -z+1/2'], ['x, y, z', '-x+1/2, -y, z+1/2', '-x, -y, -z', 'x+1/2, y, -z+1/2'], ['x, y, z', '-x+1/2, -y, z+1/2'], ['x, y, z', '-x+1/2, -y, z+1/2'], ['x, y, z', '-x+1/2, -y, z+1/2'], ['x, y, z', '-x+1/2, -y, z+1/2']]\"\n54,\"[['x, y, z', '-x+1/2, -y, z', '-x, y, -z+1/2', 'x+1/2, -y, -z+1/2', '-x, -y, -z', 'x+1/2, y, -z', 'x, -y, z+1/2', '-x+1/2, y, z+1/2'], ['x, y, z', '-x, y, -z+1/2', '-x, -y, -z', 'x, -y, z+1/2'], ['x, y, z', '-x, y, -z+1/2', '-x, -y, -z', 'x, -y, z+1/2'], ['x, y, z', '-x+1/2, -y, z', '-x, -y, -z', 'x+1/2, y, -z'], ['x, y, z', '-x+1/2, -y, z', '-x, y, -z+1/2', 'x+1/2, -y, -z+1/2'], ['x, y, z', '-x+1/2, -y, z', '-x, y, -z+1/2', 'x+1/2, -y, -z+1/2']]\"\n55,\"[['x, y, z', '-x, -y, z', '-x+1/2, y+1/2, -z', 'x+1/2, -y+1/2, -z', '-x, -y, -z', 'x, y, -z', 'x+1/2, -y+1/2, z', '-x+1/2, y+1/2, z'], ['x, y, z', '-x, -y, z', '-x+1/2, y+1/2, -z', 'x+1/2, -y+1/2, -z'], ['x, y, z', '-x, -y, z', '-x+1/2, y+1/2, -z', 'x+1/2, -y+1/2, -z'], ['x, y, z', '-x+1/2, y+1/2, -z', '-x, -y, -z', 'x+1/2, -y+1/2, z'], ['x, y, z', '-x+1/2, y+1/2, -z', '-x, -y, -z', 'x+1/2, -y+1/2, z'], ['x, y, z', '-x+1/2, y+1/2, -z'], ['x, y, z', '-x+1/2, y+1/2, -z'], ['x, y, z', '-x+1/2, y+1/2, -z'], ['x, y, z', '-x+1/2, y+1/2, -z']]\"\n56,\"[['x, y, z', '-x+1/2, -y+1/2, z', '-x, y+1/2, -z+1/2', 'x+1/2, -y, -z+1/2', '-x, -y, -z', 'x+1/2, y+1/2, -z', 'x, -y+1/2, z+1/2', '-x+1/2, y, z+1/2'], ['x, y, z', '-x, y+1/2, -z+1/2', '-x, -y, -z', 'x, -y+1/2, z+1/2'], ['x, y, z', '-x, y+1/2, -z+1/2', '-x, -y, -z', 'x, -y+1/2, z+1/2'], ['x, y, z', '-x+1/2, -y+1/2, z', '-x, y+1/2, -z+1/2', 'x+1/2, -y, -z+1/2'], ['x, y, z', '-x+1/2, -y+1/2, z', '-x, y+1/2, -z+1/2', 'x+1/2, -y, -z+1/2']]\"\n57,\"[['x, y, z', '-x, -y, z+1/2', '-x, y+1/2, -z+1/2', 'x, -y+1/2, -z', '-x, -y, -z', 'x, y, -z+1/2', 'x, -y+1/2, z+1/2', '-x, y+1/2, z'], ['x, y, z', '-x, -y, z+1/2', '-x, y+1/2, -z+1/2', 'x, -y+1/2, -z'], ['x, y, z', '-x, -y, z+1/2', '-x, -y, -z', 'x, y, -z+1/2'], ['x, y, z', '-x, -y, z+1/2', '-x, y+1/2, -z+1/2', 'x, -y+1/2, -z'], ['x, y, z', '-x, -y, z+1/2', '-x, y+1/2, -z+1/2', 'x, -y+1/2, -z']]\"\n58,\"[['x, y, z', '-x, -y, z', '-x+1/2, y+1/2, -z+1/2', 'x+1/2, -y+1/2, -z+1/2', '-x, -y, -z', 'x, y, -z', 'x+1/2, -y+1/2, z+1/2', '-x+1/2, y+1/2, z+1/2'], ['x, y, z', '-x, -y, z', '-x+1/2, y+1/2, -z+1/2', 'x+1/2, -y+1/2, -z+1/2'], ['x, y, z', '-x+1/2, y+1/2, -z+1/2', '-x, -y, -z', 'x+1/2, -y+1/2, z+1/2'], ['x, y, z', '-x+1/2, y+1/2, -z+1/2', '-x, -y, -z', 'x+1/2, -y+1/2, z+1/2'], ['x, y, z', '-x+1/2, y+1/2, -z+1/2'], ['x, y, z', '-x+1/2, y+1/2, -z+1/2'], ['x, y, z', '-x+1/2, y+1/2, -z+1/2'], ['x, y, z', '-x+1/2, y+1/2, -z+1/2']]\"\n59,\"[['x, y, z', '-x+1/2, -y+1/2, z', '-x, y+1/2, -z', 'x+1/2, -y, -z', '-x, -y, -z', 'x+1/2, y+1/2, -z', 'x, -y+1/2, z', '-x+1/2, y, z'], ['x, y, z', '-x+1/2, -y+1/2, z', '-x, y+1/2, -z', 'x+1/2, -y, -z'], ['x, y, z', '-x+1/2, -y+1/2, z', '-x, y+1/2, -z', 'x+1/2, -y, -z'], ['x, y, z', '-x+1/2, -y+1/2, z', '-x, y+1/2, -z', 'x+1/2, -y, -z'], ['x, y, z', '-x+1/2, -y+1/2, z', '-x, y+1/2, -z', 'x+1/2, -y, -z'], ['x, y, z', '-x, y+1/2, -z'], ['x, y, z', '-x, y+1/2, -z']]\"\n60,\"[['x, y, z', '-x+1/2, -y+1/2, z+1/2', '-x, y, -z+1/2', 'x+1/2, -y+1/2, -z', '-x, -y, -z', 'x+1/2, y+1/2, -z+1/2', 'x, -y, z+1/2', '-x+1/2, y+1/2, z'], ['x, y, z', '-x+1/2, -y+1/2, z+1/2', '-x, -y, -z', 'x+1/2, y+1/2, -z+1/2'], ['x, y, z', '-x+1/2, -y+1/2, z+1/2', '-x, y, -z+1/2', 'x+1/2, -y+1/2, -z'], ['x, y, z', '-x+1/2, -y+1/2, z+1/2', '-x, y, -z+1/2', 'x+1/2, -y+1/2, -z']]\"\n61,\"[['x, y, z', '-x+1/2, -y, z+1/2', '-x, y+1/2, -z+1/2', 'x+1/2, -y+1/2, -z', '-x, -y, -z', 'x+1/2, y, -z+1/2', 'x, -y+1/2, z+1/2', '-x+1/2, y+1/2, z'], ['x, y, z', '-x+1/2, -y, z+1/2', '-x, y+1/2, -z+1/2', 'x+1/2, -y+1/2, -z'], ['x, y, z', '-x+1/2, -y, z+1/2', '-x, y+1/2, -z+1/2', 'x+1/2, -y+1/2, -z']]\"\n62,\"[['x, y, z', '-x+1/2, -y, z+1/2', '-x, y+1/2, -z', 'x+1/2, -y+1/2, -z+1/2', '-x, -y, -z', 'x+1/2, y, -z+1/2', 'x, -y+1/2, z', '-x+1/2, y+1/2, z+1/2'], ['x, y, z', '-x+1/2, -y, z+1/2', '-x, y+1/2, -z', 'x+1/2, -y+1/2, -z+1/2'], ['x, y, z', '-x+1/2, -y, z+1/2', '-x, y+1/2, -z', 'x+1/2, -y+1/2, -z+1/2'], ['x, y, z', '-x+1/2, -y, z+1/2', '-x, y+1/2, -z', 'x+1/2, -y+1/2, -z+1/2']]\"\n63,\"[['x, y, z', '-x, -y, z+1/2', '-x, y, -z+1/2', 'x, -y, -z', '-x, -y, -z', 'x, y, -z+1/2', 'x, -y, z+1/2', '-x, y, z', 'x+1/2, y+1/2, z', '-x+1/2, -y+1/2, z+1/2', '-x+1/2, y+1/2, -z+1/2', 'x+1/2, -y+1/2, -z', '-x+1/2, -y+1/2, -z', 'x+1/2, y+1/2, -z+1/2', 'x+1/2, -y+1/2, z+1/2', '-x+1/2, y+1/2, z'], ['x, y, z', '-x, -y, z+1/2', '-x, y, -z+1/2', 'x, -y, -z', 'x+1/2, y+1/2, z', '-x+1/2, -y+1/2, z+1/2', '-x+1/2, y+1/2, -z+1/2', 'x+1/2, -y+1/2, -z'], ['x, y, z', '-x, -y, z+1/2', '-x, y, -z+1/2', 'x, -y, -z', 'x+1/2, y+1/2, z', '-x+1/2, -y+1/2, z+1/2', '-x+1/2, y+1/2, -z+1/2', 'x+1/2, -y+1/2, -z'], ['x, y, z', '-x, -y, z+1/2', '-x, -y, -z', 'x, y, -z+1/2', 'x+1/2, y+1/2, z', '-x+1/2, -y+1/2, z+1/2', '-x+1/2, -y+1/2, -z', 'x+1/2, y+1/2, -z+1/2'], ['x, y, z', '-x, -y, z+1/2', '-x, y, -z+1/2', 'x, -y, -z', '-x, -y, -z', 'x, y, -z+1/2', 'x, -y, z+1/2', '-x, y, z'], ['x, y, z', '-x, -y, z+1/2', 'x+1/2, y+1/2, z', '-x+1/2, -y+1/2, z+1/2'], ['x, y, z', '-x, -y, z+1/2', 'x+1/2, y+1/2, z', '-x+1/2, -y+1/2, z+1/2'], ['x, y, z', '-x, -y, z+1/2', 'x+1/2, y+1/2, z', '-x+1/2, -y+1/2, z+1/2']]\"\n64,\"[['x, y, z', '-x, -y+1/2, z+1/2', '-x, y+1/2, -z+1/2', 'x, -y, -z', '-x, -y, -z', 'x, y+1/2, -z+1/2', 'x, -y+1/2, z+1/2', '-x, y, z', 'x+1/2, y+1/2, z', '-x+1/2, -y+1, z+1/2', '-x+1/2, y+1, -z+1/2', 'x+1/2, -y+1/2, -z', '-x+1/2, -y+1/2, -z', 'x+1/2, y+1, -z+1/2', 'x+1/2, -y+1, z+1/2', '-x+1/2, y+1/2, z'], ['x, y, z', '-x, -y+1/2, z+1/2', '-x, y+1/2, -z+1/2', 'x, -y, -z', 'x+1/2, y+1/2, z', '-x+1/2, -y+1, z+1/2', '-x+1/2, y+1, -z+1/2', 'x+1/2, -y+1/2, -z'], ['x, y, z', '-x, -y+1/2, z+1/2', '-x, y+1/2, -z+1/2', 'x, -y, -z', '-x, -y, -z', 'x, y+1/2, -z+1/2', 'x, -y+1/2, z+1/2', '-x, y, z'], ['x, y, z', '-x, -y+1/2, z+1/2', '-x, -y, -z', 'x, y+1/2, -z+1/2', 'x+1/2, y+1/2, z', '-x+1/2, -y+1, z+1/2', '-x+1/2, -y+1/2, -z', 'x+1/2, y+1, -z+1/2'], ['x, y, z', '-x, -y+1/2, z+1/2', '-x, y+1/2, -z+1/2', 'x, -y, -z', '-x, -y, -z', 'x, y+1/2, -z+1/2', 'x, -y+1/2, z+1/2', '-x, y, z'], ['x, y, z', '-x, -y+1/2, z+1/2', 'x+1/2, y+1/2, z', '-x+1/2, -y+1, z+1/2'], ['x, y, z', '-x, -y+1/2, z+1/2', 'x+1/2, y+1/2, z', '-x+1/2, -y+1, z+1/2']]\"\n65,\"[['x, y, z', '-x, -y, z', '-x, y, -z', 'x, -y, -z', '-x, -y, -z', 'x, y, -z', 'x, -y, z', '-x, y, z', 'x+1/2, y+1/2, z', '-x+1/2, -y+1/2, z', '-x+1/2, y+1/2, -z', 'x+1/2, -y+1/2, -z', '-x+1/2, -y+1/2, -z', 'x+1/2, y+1/2, -z', 'x+1/2, -y+1/2, z', '-x+1/2, y+1/2, z'], ['x, y, z', '-x, -y, z', '-x, y, -z', 'x, -y, -z', 'x+1/2, y+1/2, z', '-x+1/2, -y+1/2, z', '-x+1/2, y+1/2, -z', 'x+1/2, -y+1/2, -z'], ['x, y, z', '-x, -y, z', '-x, y, -z', 'x, -y, -z', 'x+1/2, y+1/2, z', '-x+1/2, -y+1/2, z', '-x+1/2, y+1/2, -z', 'x+1/2, -y+1/2, -z'], ['x, y, z', '-x, -y, z', '-x, y, -z', 'x, -y, -z', 'x+1/2, y+1/2, z', '-x+1/2, -y+1/2, z', '-x+1/2, y+1/2, -z', 'x+1/2, -y+1/2, -z'], ['x, y, z', '-x, -y, z', '-x, y, -z', 'x, -y, -z', 'x+1/2, y+1/2, z', '-x+1/2, -y+1/2, z', '-x+1/2, y+1/2, -z', 'x+1/2, -y+1/2, -z'], ['x, y, z', '-x, -y, z', '-x, y, -z', 'x, -y, -z', '-x, -y, -z', 'x, y, -z', 'x, -y, z', '-x, y, z'], ['x, y, z', '-x, y, -z', 'x+1/2, y+1/2, z', '-x+1/2, y+1/2, -z'], ['x, y, z', '-x, y, -z', 'x+1/2, y+1/2, z', '-x+1/2, y+1/2, -z'], ['x, y, z', '-x, -y, z', 'x+1/2, y+1/2, z', '-x+1/2, -y+1/2, z'], ['x, y, z', '-x, -y, z', 'x+1/2, y+1/2, z', '-x+1/2, -y+1/2, z'], ['x, y, z', '-x, -y, z', 'x+1/2, y+1/2, z', '-x+1/2, -y+1/2, z'], ['x, y, z', '-x, -y, z', 'x+1/2, y+1/2, z', '-x+1/2, -y+1/2, z'], ['x, y, z', '-x, -y, z', '-x, y, -z', 'x, -y, -z'], ['x, y, z', '-x, -y, z', '-x, y, -z', 'x, -y, -z'], ['x, y, z', 'x+1/2, y+1/2, z'], ['x, y, z', 'x+1/2, y+1/2, z'], ['x, y, z', 'x+1/2, y+1/2, z'], ['x, y, z', 'x+1/2, y+1/2, z']]\"\n66,\"[['x, y, z', '-x, -y, z', '-x, y, -z+1/2', 'x, -y, -z+1/2', '-x, -y, -z', 'x, y, -z', 'x, -y, z+1/2', '-x, y, z+1/2', 'x+1/2, y+1/2, z', '-x+1/2, -y+1/2, z', '-x+1/2, y+1/2, -z+1/2', 'x+1/2, -y+1/2, -z+1/2', '-x+1/2, -y+1/2, -z', 'x+1/2, y+1/2, -z', 'x+1/2, -y+1/2, z+1/2', '-x+1/2, y+1/2, z+1/2'], ['x, y, z', '-x, -y, z', '-x, y, -z+1/2', 'x, -y, -z+1/2', 'x+1/2, y+1/2, z', '-x+1/2, -y+1/2, z', '-x+1/2, y+1/2, -z+1/2', 'x+1/2, -y+1/2, -z+1/2'], ['x, y, z', '-x, -y, z', '-x, y, -z+1/2', 'x, -y, -z+1/2', '-x, -y, -z', 'x, y, -z', 'x, -y, z+1/2', '-x, y, z+1/2'], ['x, y, z', '-x, y, -z+1/2', '-x, -y, -z', 'x, -y, z+1/2', 'x+1/2, y+1/2, z', '-x+1/2, y+1/2, -z+1/2', '-x+1/2, -y+1/2, -z', 'x+1/2, -y+1/2, z+1/2'], ['x, y, z', '-x, y, -z+1/2', '-x, -y, -z', 'x, -y, z+1/2', 'x+1/2, y+1/2, z', '-x+1/2, y+1/2, -z+1/2', '-x+1/2, -y+1/2, -z', 'x+1/2, -y+1/2, z+1/2'], ['x, y, z', '-x, -y, z', '-x, -y, -z', 'x, y, -z', 'x+1/2, y+1/2, z', '-x+1/2, -y+1/2, z', '-x+1/2, -y+1/2, -z', 'x+1/2, y+1/2, -z'], ['x, y, z', '-x, -y, z', '-x, -y, -z', 'x, y, -z', 'x+1/2, y+1/2, z', '-x+1/2, -y+1/2, z', '-x+1/2, -y+1/2, -z', 'x+1/2, y+1/2, -z'], ['x, y, z', '-x, -y, z', '-x, y, -z+1/2', 'x, -y, -z+1/2'], ['x, y, z', '-x, -y, z', '-x, y, -z+1/2', 'x, -y, -z+1/2'], ['x, y, z', '-x, y, -z+1/2', 'x+1/2, y+1/2, z', '-x+1/2, y+1/2, -z+1/2'], ['x, y, z', '-x, y, -z+1/2', 'x+1/2, y+1/2, z', '-x+1/2, y+1/2, -z+1/2'], ['x, y, z', '-x, -y, -z', 'x+1/2, y+1/2, z', '-x+1/2, -y+1/2, -z'], ['x, y, z', '-x, -y, -z', 'x+1/2, y+1/2, z', '-x+1/2, -y+1/2, -z']]\"\n67,\"[['x, y, z', '-x, -y+1/2, z', '-x, y+1/2, -z', 'x, -y, -z', '-x, -y, -z', 'x, y+1/2, -z', 'x, -y+1/2, z', '-x, y, z', 'x+1/2, y+1/2, z', '-x+1/2, -y+1, z', '-x+1/2, y+1, -z', 'x+1/2, -y+1/2, -z', '-x+1/2, -y+1/2, -z', 'x+1/2, y+1, -z', 'x+1/2, -y+1, z', '-x+1/2, y+1/2, z'], ['x, y, z', '-x, -y+1/2, z', '-x, y+1/2, -z', 'x, -y, -z', 'x+1/2, y+1/2, z', '-x+1/2, -y+1, z', '-x+1/2, y+1, -z', 'x+1/2, -y+1/2, -z'], ['x, y, z', '-x, -y+1/2, z', '-x, y+1/2, -z', 'x, -y, -z', 'x+1/2, y+1/2, z', '-x+1/2, -y+1, z', '-x+1/2, y+1, -z', 'x+1/2, -y+1/2, -z'], ['x, y, z', '-x, -y+1/2, z', '-x, y+1/2, -z', 'x, -y, -z', '-x, -y, -z', 'x, y+1/2, -z', 'x, -y+1/2, z', '-x, y, z'], ['x, y, z', '-x, -y+1/2, z', '-x, y+1/2, -z', 'x, -y, -z', '-x, -y, -z', 'x, y+1/2, -z', 'x, -y+1/2, z', '-x, y, z'], ['x, y, z', '-x, -y+1/2, z', '-x, y+1/2, -z', 'x, -y, -z', '-x, -y, -z', 'x, y+1/2, -z', 'x, -y+1/2, z', '-x, y, z'], ['x, y, z', '-x, -y+1/2, z', '-x, -y, -z', 'x, y+1/2, -z', 'x+1/2, y+1/2, z', '-x+1/2, -y+1, z', '-x+1/2, -y+1/2, -z', 'x+1/2, y+1, -z'], ['x, y, z', '-x, -y+1/2, z', '-x, -y, -z', 'x, y+1/2, -z', 'x+1/2, y+1/2, z', '-x+1/2, -y+1, z', '-x+1/2, -y+1/2, -z', 'x+1/2, y+1, -z'], ['x, y, z', '-x, y+1/2, -z', 'x+1/2, y+1/2, z', '-x+1/2, y+1, -z'], ['x, y, z', '-x, -y+1/2, z', '-x, y+1/2, -z', 'x, -y, -z'], ['x, y, z', '-x, -y+1/2, z', '-x, y+1/2, -z', 'x, -y, -z'], ['x, y, z', '-x, -y+1/2, z', 'x+1/2, y+1/2, z', '-x+1/2, -y+1, z'], ['x, y, z', '-x, -y+1/2, z', 'x+1/2, y+1/2, z', '-x+1/2, -y+1, z'], ['x, y, z', '-x, -y+1/2, z', '-x, -y, -z', 'x, y+1/2, -z'], ['x, y, z', '-x, -y+1/2, z', '-x, -y, -z', 'x, y+1/2, -z']]\"\n68,\"[['x, y, z', '-x+1/2, -y, z', '-x, y, -z+1/2', 'x+1/2, -y, -z+1/2', '-x, -y, -z', 'x+1/2, y, -z', 'x, -y, z+1/2', '-x+1/2, y, z+1/2', 'x+1/2, y+1/2, z', '-x+1, -y+1/2, z', '-x+1/2, y+1/2, -z+1/2', 'x+1, -y+1/2, -z+1/2', '-x+1/2, -y+1/2, -z', 'x+1, y+1/2, -z', 'x+1/2, -y+1/2, z+1/2', '-x+1, y+1/2, z+1/2'], ['x, y, z', '-x, y, -z+1/2', '-x, -y, -z', 'x, -y, z+1/2', 'x+1/2, y+1/2, z', '-x+1/2, y+1/2, -z+1/2', '-x+1/2, -y+1/2, -z', 'x+1/2, -y+1/2, z+1/2'], ['x, y, z', '-x+1/2, -y, z', '-x, y, -z+1/2', 'x+1/2, -y, -z+1/2', '-x, -y, -z', 'x+1/2, y, -z', 'x, -y, z+1/2', '-x+1/2, y, z+1/2'], ['x, y, z', '-x+1/2, -y, z', '-x, -y, -z', 'x+1/2, y, -z', 'x+1/2, y+1/2, z', '-x+1, -y+1/2, z', '-x+1/2, -y+1/2, -z', 'x+1, y+1/2, -z'], ['x, y, z', '-x+1/2, -y, z', '-x, y, -z+1/2', 'x+1/2, -y, -z+1/2', '-x, -y, -z', 'x+1/2, y, -z', 'x, -y, z+1/2', '-x+1/2, y, z+1/2'], ['x, y, z', '-x+1/2, -y, z', '-x, y, -z+1/2', 'x+1/2, -y, -z+1/2', 'x+1/2, y+1/2, z', '-x+1, -y+1/2, z', '-x+1/2, y+1/2, -z+1/2', 'x+1, -y+1/2, -z+1/2'], ['x, y, z', '-x+1/2, -y, z', '-x, y, -z+1/2', 'x+1/2, -y, -z+1/2', '-x, -y, -z', 'x+1/2, y, -z', 'x, -y, z+1/2', '-x+1/2, y, z+1/2'], ['x, y, z', '-x+1/2, -y, z', '-x, -y, -z', 'x+1/2, y, -z'], ['x, y, z', '-x+1/2, -y, z', '-x, -y, -z', 'x+1/2, y, -z']]\"\n69,\"[['x, y, z', '-x, -y, z', '-x, y, -z', 'x, -y, -z', '-x, -y, -z', 'x, y, -z', 'x, -y, z', '-x, y, z', 'x, y+1/2, z+1/2', '-x, -y+1/2, z+1/2', '-x, y+1/2, -z+1/2', 'x, -y+1/2, -z+1/2', '-x, -y+1/2, -z+1/2', 'x, y+1/2, -z+1/2', 'x, -y+1/2, z+1/2', '-x, y+1/2, z+1/2', 'x+1/2, y, z+1/2', '-x+1/2, -y, z+1/2', '-x+1/2, y, -z+1/2', 'x+1/2, -y, -z+1/2', '-x+1/2, -y, -z+1/2', 'x+1/2, y, -z+1/2', 'x+1/2, -y, z+1/2', '-x+1/2, y, z+1/2', 'x+1/2, y+1/2, z', '-x+1/2, -y+1/2, z', '-x+1/2, y+1/2, -z', 'x+1/2, -y+1/2, -z', '-x+1/2, -y+1/2, -z', 'x+1/2, y+1/2, -z', 'x+1/2, -y+1/2, z', '-x+1/2, y+1/2, z'], ['x, y, z', '-x, -y, z', '-x, y, -z', 'x, -y, -z', 'x, y+1/2, z+1/2', '-x, -y+1/2, z+1/2', '-x, y+1/2, -z+1/2', 'x, -y+1/2, -z+1/2', 'x+1/2, y, z+1/2', '-x+1/2, -y, z+1/2', '-x+1/2, y, -z+1/2', 'x+1/2, -y, -z+1/2', 'x+1/2, y+1/2, z', '-x+1/2, -y+1/2, z', '-x+1/2, y+1/2, -z', 'x+1/2, -y+1/2, -z'], ['x, y, z', '-x, -y, z', '-x, y, -z', 'x, -y, -z', 'x, y+1/2, z+1/2', '-x, -y+1/2, z+1/2', '-x, y+1/2, -z+1/2', 'x, -y+1/2, -z+1/2', 'x+1/2, y, z+1/2', '-x+1/2, -y, z+1/2', '-x+1/2, y, -z+1/2', 'x+1/2, -y, -z+1/2', 'x+1/2, y+1/2, z', '-x+1/2, -y+1/2, z', '-x+1/2, y+1/2, -z', 'x+1/2, -y+1/2, -z'], ['x, y, z', '-x, -y, z', '-x, y, -z', 'x, -y, -z', 'x, y+1/2, z+1/2', '-x, -y+1/2, z+1/2', '-x, y+1/2, -z+1/2', 'x, -y+1/2, -z+1/2', 'x+1/2, y, z+1/2', '-x+1/2, -y, z+1/2', '-x+1/2, y, -z+1/2', 'x+1/2, -y, -z+1/2', 'x+1/2, y+1/2, z', '-x+1/2, -y+1/2, z', '-x+1/2, y+1/2, -z', 'x+1/2, -y+1/2, -z'], ['x, y, z', '-x, -y, z', '-x, y, -z', 'x, -y, -z', '-x, -y, -z', 'x, y, -z', 'x, -y, z', '-x, y, z', 'x+1/2, y, z+1/2', '-x+1/2, -y, z+1/2', '-x+1/2, y, -z+1/2', 'x+1/2, -y, -z+1/2', '-x+1/2, -y, -z+1/2', 'x+1/2, y, -z+1/2', 'x+1/2, -y, z+1/2', '-x+1/2, y, z+1/2'], ['x, y, z', '-x, -y, z', '-x, y, -z', 'x, -y, -z', '-x, -y, -z', 'x, y, -z', 'x, -y, z', '-x, y, z', 'x, y+1/2, z+1/2', '-x, -y+1/2, z+1/2', '-x, y+1/2, -z+1/2', 'x, -y+1/2, -z+1/2', '-x, -y+1/2, -z+1/2', 'x, y+1/2, -z+1/2', 'x, -y+1/2, z+1/2', '-x, y+1/2, z+1/2'], ['x, y, z', '-x, -y, z', '-x, y, -z', 'x, -y, -z', '-x, -y, -z', 'x, y, -z', 'x, -y, z', '-x, y, z', 'x, y+1/2, z+1/2', '-x, -y+1/2, z+1/2', '-x, y+1/2, -z+1/2', 'x, -y+1/2, -z+1/2', '-x, -y+1/2, -z+1/2', 'x, y+1/2, -z+1/2', 'x, -y+1/2, z+1/2', '-x, y+1/2, z+1/2'], ['x, y, z', '-x, y, -z', 'x, y+1/2, z+1/2', '-x, y+1/2, -z+1/2', 'x+1/2, y, z+1/2', '-x+1/2, y, -z+1/2', 'x+1/2, y+1/2, z', '-x+1/2, y+1/2, -z'], ['x, y, z', '-x, -y, z', 'x, y+1/2, z+1/2', '-x, -y+1/2, z+1/2', 'x+1/2, y, z+1/2', '-x+1/2, -y, z+1/2', 'x+1/2, y+1/2, z', '-x+1/2, -y+1/2, z'], ['x, y, z', '-x, -y, z', 'x, y+1/2, z+1/2', '-x, -y+1/2, z+1/2', 'x+1/2, y, z+1/2', '-x+1/2, -y, z+1/2', 'x+1/2, y+1/2, z', '-x+1/2, -y+1/2, z'], ['x, y, z', '-x, -y, z', '-x, y, -z', 'x, -y, -z', '-x, -y, -z', 'x, y, -z', 'x, -y, z', '-x, y, z'], ['x, y, z', '-x, -y, z', '-x, y, -z', 'x, -y, -z', 'x, y+1/2, z+1/2', '-x, -y+1/2, z+1/2', '-x, y+1/2, -z+1/2', 'x, -y+1/2, -z+1/2'], ['x, y, z', '-x, -y, z', '-x, y, -z', 'x, -y, -z', 'x, y+1/2, z+1/2', '-x, -y+1/2, z+1/2', '-x, y+1/2, -z+1/2', 'x, -y+1/2, -z+1/2'], ['x, y, z', '-x, -y, z', '-x, y, -z', 'x, -y, -z', 'x+1/2, y, z+1/2', '-x+1/2, -y, z+1/2', '-x+1/2, y, -z+1/2', 'x+1/2, -y, -z+1/2'], ['x, y, z', 'x, y+1/2, z+1/2', 'x+1/2, y, z+1/2', 'x+1/2, y+1/2, z'], ['x, y, z', 'x, y+1/2, z+1/2', 'x+1/2, y, z+1/2', 'x+1/2, y+1/2, z']]\"\n70,\"[['x, y, z', '-x+3/4, -y+3/4, z', '-x+3/4, y, -z+3/4', 'x, -y+3/4, -z+3/4', '-x, -y, -z', 'x+1/4, y+1/4, -z', 'x+1/4, -y, z+1/4', '-x, y+1/4, z+1/4', 'x, y+1/2, z+1/2', '-x+3/4, -y+5/4, z+1/2', '-x+3/4, y+1/2, -z+5/4', 'x, -y+5/4, -z+5/4', '-x, -y+1/2, -z+1/2', 'x+1/4, y+3/4, -z+1/2', 'x+1/4, -y+1/2, z+3/4', '-x, y+3/4, z+3/4', 'x+1/2, y, z+1/2', '-x+5/4, -y+3/4, z+1/2', '-x+5/4, y, -z+5/4', 'x+1/2, -y+3/4, -z+5/4', '-x+1/2, -y, -z+1/2', 'x+3/4, y+1/4, -z+1/2', 'x+3/4, -y, z+3/4', '-x+1/2, y+1/4, z+3/4', 'x+1/2, y+1/2, z', '-x+5/4, -y+5/4, z', '-x+5/4, y+1/2, -z+3/4', 'x+1/2, -y+5/4, -z+3/4', '-x+1/2, -y+1/2, -z', 'x+3/4, y+3/4, -z', 'x+3/4, -y+1/2, z+1/4', '-x+1/2, y+3/4, z+1/4'], ['x, y, z', '-x+3/4, -y+3/4, z', '-x+3/4, y, -z+3/4', 'x, -y+3/4, -z+3/4', '-x, -y, -z', 'x+1/4, y+1/4, -z', 'x+1/4, -y, z+1/4', '-x, y+1/4, z+1/4', 'x, y+1/2, z+1/2', '-x+3/4, -y+5/4, z+1/2', '-x+3/4, y+1/2, -z+5/4', 'x, -y+5/4, -z+5/4', '-x, -y+1/2, -z+1/2', 'x+1/4, y+3/4, -z+1/2', 'x+1/4, -y+1/2, z+3/4', '-x, y+3/4, z+3/4'], ['x, y, z', '-x+3/4, -y+3/4, z', '-x+3/4, y, -z+3/4', 'x, -y+3/4, -z+3/4', '-x, -y, -z', 'x+1/4, y+1/4, -z', 'x+1/4, -y, z+1/4', '-x, y+1/4, z+1/4', 'x, y+1/2, z+1/2', '-x+3/4, -y+5/4, z+1/2', '-x+3/4, y+1/2, -z+5/4', 'x, -y+5/4, -z+5/4', '-x, -y+1/2, -z+1/2', 'x+1/4, y+3/4, -z+1/2', 'x+1/4, -y+1/2, z+3/4', '-x, y+3/4, z+3/4'], ['x, y, z', '-x+3/4, -y+3/4, z', '-x+3/4, y, -z+3/4', 'x, -y+3/4, -z+3/4', '-x, -y, -z', 'x+1/4, y+1/4, -z', 'x+1/4, -y, z+1/4', '-x, y+1/4, z+1/4', 'x+1/2, y, z+1/2', '-x+5/4, -y+3/4, z+1/2', '-x+5/4, y, -z+5/4', 'x+1/2, -y+3/4, -z+5/4', '-x+1/2, -y, -z+1/2', 'x+3/4, y+1/4, -z+1/2', 'x+3/4, -y, z+3/4', '-x+1/2, y+1/4, z+3/4'], ['x, y, z', '-x+3/4, -y+3/4, z', '-x+3/4, y, -z+3/4', 'x, -y+3/4, -z+3/4', 'x+1/4, y+1/4, -z', 'x+1/4, -y, z+1/4', '-x, y+1/4, z+1/4', 'x, y+1/2, z+1/2', '-x+3/4, -y+5/4, z+1/2', '-x+3/4, y+1/2, -z+5/4', 'x+1/4, y+3/4, -z+1/2', 'x+1/4, -y+1/2, z+3/4', 'x+1/2, y, z+1/2', 'x+1/2, -y+3/4, -z+5/4', '-x+1/2, y+1/4, z+3/4', 'x+1/2, y+1/2, z'], ['x, y, z', '-x+3/4, -y+3/4, z', '-x+3/4, y, -z+3/4', 'x, -y+3/4, -z+3/4', 'x+1/4, y+1/4, -z', 'x+1/4, -y, z+1/4', '-x, y+1/4, z+1/4', 'x, y+1/2, z+1/2', '-x+3/4, -y+5/4, z+1/2', '-x+3/4, y+1/2, -z+5/4', 'x+1/4, y+3/4, -z+1/2', 'x+1/4, -y+1/2, z+3/4', 'x+1/2, y, z+1/2', 'x+1/2, -y+3/4, -z+5/4', '-x+1/2, y+1/4, z+3/4', 'x+1/2, y+1/2, z'], ['x, y, z', '-x+3/4, -y+3/4, z', '-x+3/4, y, -z+3/4', 'x, -y+3/4, -z+3/4', '-x, -y, -z', 'x+1/4, y+1/4, -z', 'x+1/4, -y, z+1/4', '-x, y+1/4, z+1/4'], ['x, y, z', '-x+3/4, -y+3/4, z', '-x+3/4, y, -z+3/4', 'x, -y+3/4, -z+3/4', '-x, -y, -z', 'x+1/4, y+1/4, -z', 'x+1/4, -y, z+1/4', '-x, y+1/4, z+1/4']]\"\n71,\"[['x, y, z', '-x, -y, z', '-x, y, -z', 'x, -y, -z', '-x, -y, -z', 'x, y, -z', 'x, -y, z', '-x, y, z', 'x+1/2, y+1/2, z+1/2', '-x+1/2, -y+1/2, z+1/2', '-x+1/2, y+1/2, -z+1/2', 'x+1/2, -y+1/2, -z+1/2', '-x+1/2, -y+1/2, -z+1/2', 'x+1/2, y+1/2, -z+1/2', 'x+1/2, -y+1/2, z+1/2', '-x+1/2, y+1/2, z+1/2'], ['x, y, z', '-x, -y, z', '-x, y, -z', 'x, -y, -z', 'x+1/2, y+1/2, z+1/2', '-x+1/2, -y+1/2, z+1/2', '-x+1/2, y+1/2, -z+1/2', 'x+1/2, -y+1/2, -z+1/2'], ['x, y, z', '-x, -y, z', '-x, y, -z', 'x, -y, -z', 'x+1/2, y+1/2, z+1/2', '-x+1/2, -y+1/2, z+1/2', '-x+1/2, y+1/2, -z+1/2', 'x+1/2, -y+1/2, -z+1/2'], ['x, y, z', '-x, -y, z', '-x, y, -z', 'x, -y, -z', 'x+1/2, y+1/2, z+1/2', '-x+1/2, -y+1/2, z+1/2', '-x+1/2, y+1/2, -z+1/2', 'x+1/2, -y+1/2, -z+1/2'], ['x, y, z', '-x, -y, z', '-x, y, -z', 'x, -y, -z', '-x, -y, -z', 'x, y, -z', 'x, -y, z', '-x, y, z'], ['x, y, z', '-x, y, -z', 'x+1/2, y+1/2, z+1/2', '-x+1/2, y+1/2, -z+1/2'], ['x, y, z', '-x, y, -z', 'x+1/2, y+1/2, z+1/2', '-x+1/2, y+1/2, -z+1/2'], ['x, y, z', '-x, -y, z', 'x+1/2, y+1/2, z+1/2', '-x+1/2, -y+1/2, z+1/2'], ['x, y, z', '-x, -y, z', 'x+1/2, y+1/2, z+1/2', '-x+1/2, -y+1/2, z+1/2'], ['x, y, z', '-x, -y, z', 'x+1/2, y+1/2, z+1/2', '-x+1/2, -y+1/2, z+1/2'], ['x, y, z', '-x, -y, z', 'x+1/2, y+1/2, z+1/2', '-x+1/2, -y+1/2, z+1/2'], ['x, y, z', 'x+1/2, y+1/2, z+1/2'], ['x, y, z', 'x+1/2, y+1/2, z+1/2'], ['x, y, z', 'x+1/2, y+1/2, z+1/2'], ['x, y, z', 'x+1/2, y+1/2, z+1/2']]\"\n72,\"[['x, y, z', '-x, -y, z', '-x+1/2, y+1/2, -z', 'x+1/2, -y+1/2, -z', '-x, -y, -z', 'x, y, -z', 'x+1/2, -y+1/2, z', '-x+1/2, y+1/2, z', 'x+1/2, y+1/2, z+1/2', '-x+1/2, -y+1/2, z+1/2', '-x+1, y+1, -z+1/2', 'x+1, -y+1, -z+1/2', '-x+1/2, -y+1/2, -z+1/2', 'x+1/2, y+1/2, -z+1/2', 'x+1, -y+1, z+1/2', '-x+1, y+1, z+1/2'], ['x, y, z', '-x, -y, z', '-x+1/2, y+1/2, -z', 'x+1/2, -y+1/2, -z', 'x+1/2, y+1/2, z+1/2', '-x+1/2, -y+1/2, z+1/2', '-x+1, y+1, -z+1/2', 'x+1, -y+1, -z+1/2'], ['x, y, z', '-x+1/2, y+1/2, -z', '-x, -y, -z', 'x+1/2, -y+1/2, z', 'x+1/2, y+1/2, z+1/2', '-x+1, y+1, -z+1/2', '-x+1/2, -y+1/2, -z+1/2', 'x+1, -y+1, z+1/2'], ['x, y, z', '-x+1/2, y+1/2, -z', '-x, -y, -z', 'x+1/2, -y+1/2, z', 'x+1/2, y+1/2, z+1/2', '-x+1, y+1, -z+1/2', '-x+1/2, -y+1/2, -z+1/2', 'x+1, -y+1, z+1/2'], ['x, y, z', '-x, -y, z', '-x+1/2, y+1/2, -z', 'x+1/2, -y+1/2, -z', '-x, -y, -z', 'x, y, -z', 'x+1/2, -y+1/2, z', '-x+1/2, y+1/2, z'], ['x, y, z', '-x, -y, z', '-x+1/2, y+1/2, -z', 'x+1/2, -y+1/2, -z', '-x, -y, -z', 'x, y, -z', 'x+1/2, -y+1/2, z', '-x+1/2, y+1/2, z'], ['x, y, z', '-x, -y, z', '-x+1/2, y+1/2, -z', 'x+1/2, -y+1/2, -z', '-x, -y, -z', 'x, y, -z', 'x+1/2, -y+1/2, z', '-x+1/2, y+1/2, z'], ['x, y, z', '-x+1/2, y+1/2, -z', 'x+1/2, y+1/2, z+1/2', '-x+1, y+1, -z+1/2'], ['x, y, z', '-x+1/2, y+1/2, -z', 'x+1/2, y+1/2, z+1/2', '-x+1, y+1, -z+1/2'], ['x, y, z', '-x+1/2, y+1/2, -z', '-x, -y, -z', 'x+1/2, -y+1/2, z'], ['x, y, z', '-x+1/2, y+1/2, -z', '-x, -y, -z', 'x+1/2, -y+1/2, z']]\"\n73,\"[['x, y, z', '-x+1/2, -y, z+1/2', '-x, y+1/2, -z+1/2', 'x+1/2, -y+1/2, -z', '-x, -y, -z', 'x+1/2, y, -z+1/2', 'x, -y+1/2, z+1/2', '-x+1/2, y+1/2, z', 'x+1/2, y+1/2, z+1/2', '-x+1, -y+1/2, z+1', '-x+1/2, y+1, -z+1', 'x+1, -y+1, -z+1/2', '-x+1/2, -y+1/2, -z+1/2', 'x+1, y+1/2, -z+1', 'x+1/2, -y+1, z+1', '-x+1, y+1, z+1/2'], ['x, y, z', '-x+1/2, -y, z+1/2', '-x, y+1/2, -z+1/2', 'x+1/2, -y+1/2, -z', '-x, -y, -z', 'x+1/2, y, -z+1/2', 'x, -y+1/2, z+1/2', '-x+1/2, y+1/2, z'], ['x, y, z', '-x+1/2, -y, z+1/2', '-x, y+1/2, -z+1/2', 'x+1/2, -y+1/2, -z', '-x, -y, -z', 'x+1/2, y, -z+1/2', 'x, -y+1/2, z+1/2', '-x+1/2, y+1/2, z'], ['x, y, z', '-x+1/2, -y, z+1/2', '-x, y+1/2, -z+1/2', 'x+1/2, -y+1/2, -z', '-x, -y, -z', 'x+1/2, y, -z+1/2', 'x, -y+1/2, z+1/2', '-x+1/2, y+1/2, z'], ['x, y, z', '-x+1/2, -y, z+1/2', '-x, y+1/2, -z+1/2', 'x+1/2, -y+1/2, -z', '-x, -y, -z', 'x+1/2, y, -z+1/2', 'x, -y+1/2, z+1/2', '-x+1/2, y+1/2, z'], ['x, y, z', '-x+1/2, -y, z+1/2', '-x, y+1/2, -z+1/2', 'x+1/2, -y+1/2, -z', 'x+1/2, y+1/2, z+1/2', '-x+1, -y+1/2, z+1', '-x+1/2, y+1, -z+1', 'x+1, -y+1, -z+1/2']]\"\n74,\"[['x, y, z', '-x, -y+1/2, z', '-x, y+1/2, -z', 'x, -y, -z', '-x, -y, -z', 'x, y+1/2, -z', 'x, -y+1/2, z', '-x, y, z', 'x+1/2, y+1/2, z+1/2', '-x+1/2, -y+1, z+1/2', '-x+1/2, y+1, -z+1/2', 'x+1/2, -y+1/2, -z+1/2', '-x+1/2, -y+1/2, -z+1/2', 'x+1/2, y+1, -z+1/2', 'x+1/2, -y+1, z+1/2', '-x+1/2, y+1/2, z+1/2'], ['x, y, z', '-x, -y+1/2, z', '-x, y+1/2, -z', 'x, -y, -z', 'x+1/2, y+1/2, z+1/2', '-x+1/2, -y+1, z+1/2', '-x+1/2, y+1, -z+1/2', 'x+1/2, -y+1/2, -z+1/2'], ['x, y, z', '-x, -y+1/2, z', '-x, y+1/2, -z', 'x, -y, -z', 'x+1/2, y+1/2, z+1/2', '-x+1/2, -y+1, z+1/2', '-x+1/2, y+1, -z+1/2', 'x+1/2, -y+1/2, -z+1/2'], ['x, y, z', '-x, -y+1/2, z', '-x, y+1/2, -z', 'x, -y, -z', '-x, -y, -z', 'x, y+1/2, -z', 'x, -y+1/2, z', '-x, y, z'], ['x, y, z', '-x, -y+1/2, z', '-x, -y, -z', 'x, y+1/2, -z', 'x+1/2, y+1/2, z+1/2', '-x+1/2, -y+1, z+1/2', '-x+1/2, -y+1/2, -z+1/2', 'x+1/2, y+1, -z+1/2'], ['x, y, z', '-x, y+1/2, -z', 'x+1/2, y+1/2, z+1/2', '-x+1/2, y+1, -z+1/2'], ['x, y, z', '-x, -y+1/2, z', '-x, y+1/2, -z', 'x, -y, -z'], ['x, y, z', '-x, -y+1/2, z', '-x, y+1/2, -z', 'x, -y, -z'], ['x, y, z', '-x, -y+1/2, z', 'x+1/2, y+1/2, z+1/2', '-x+1/2, -y+1, z+1/2'], ['x, y, z', '-x, -y+1/2, z', 'x+1/2, y+1/2, z+1/2', '-x+1/2, -y+1, z+1/2']]\"\n75,\"[['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z'], ['x, y, z', '-y, x, z'], ['x, y, z'], ['x, y, z']]\"\n76,\"[['x, y, z', '-x, -y, z+1/2', '-y, x, z+1/4', 'y, -x, z+3/4']]\"\n77,\"[['x, y, z', '-x, -y, z', '-y, x, z+1/2', 'y, -x, z+1/2'], ['x, y, z', '-y, x, z+1/2'], ['x, y, z', '-y, x, z+1/2'], ['x, y, z', '-y, x, z+1/2']]\"\n78,\"[['x, y, z', '-x, -y, z+1/2', '-y, x, z+3/4', 'y, -x, z+1/4']]\"\n79,\"[['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z', 'x+1/2, y+1/2, z+1/2', '-x+1/2, -y+1/2, z+1/2', '-y+1/2, x+1/2, z+1/2', 'y+1/2, -x+1/2, z+1/2'], ['x, y, z', '-y, x, z', 'x+1/2, y+1/2, z+1/2', '-y+1/2, x+1/2, z+1/2'], ['x, y, z', 'x+1/2, y+1/2, z+1/2']]\"\n80,\"[['x, y, z', '-x+1/2, -y+1/2, z+1/2', '-y, x+1/2, z+1/4', 'y+1/2, -x, z+3/4', 'x+1/2, y+1/2, z+1/2', '-x+1, -y+1, z+1', '-y+1/2, x+1, z+3/4', 'y+1, -x+1/2, z+5/4'], ['x, y, z', '-x+1/2, -y+1/2, z+1/2', '-y, x+1/2, z+1/4', 'y+1/2, -x, z+3/4']]\"\n81,\"[['x, y, z', '-x, -y, z', 'y, -x, -z', '-y, x, -z'], ['x, y, z', 'y, -x, -z'], ['x, y, z', 'y, -x, -z'], ['x, y, z', 'y, -x, -z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']]\"\n82,\"[['x, y, z', '-x, -y, z', 'y, -x, -z', '-y, x, -z', 'x+1/2, y+1/2, z+1/2', '-x+1/2, -y+1/2, z+1/2', 'y+1/2, -x+1/2, -z+1/2', '-y+1/2, x+1/2, -z+1/2'], ['x, y, z', 'y, -x, -z', 'x+1/2, y+1/2, z+1/2', 'y+1/2, -x+1/2, -z+1/2'], ['x, y, z', 'y, -x, -z', 'x+1/2, y+1/2, z+1/2', 'y+1/2, -x+1/2, -z+1/2'], ['x, y, z', 'y, -x, -z'], ['x, y, z', 'y, -x, -z'], ['x, y, z', 'x+1/2, y+1/2, z+1/2'], ['x, y, z', 'x+1/2, y+1/2, z+1/2']]\"\n83,\"[['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z', '-x, -y, -z', 'x, y, -z', 'y, -x, -z', '-y, x, -z'], ['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z'], ['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z'], ['x, y, z', '-y, x, z', '-x, -y, -z', 'y, -x, -z'], ['x, y, z', '-x, -y, -z'], ['x, y, z', '-x, -y, -z'], ['x, y, z', '-y, x, z'], ['x, y, z', '-y, x, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']]\"\n84,\"[['x, y, z', '-x, -y, z', '-y, x, z+1/2', 'y, -x, z+1/2', '-x, -y, -z', 'x, y, -z', 'y, -x, -z+1/2', '-y, x, -z+1/2'], ['x, y, z', '-x, -y, z', '-y, x, z+1/2', 'y, -x, z+1/2'], ['x, y, z', '-y, x, z+1/2', '-x, -y, -z', 'y, -x, -z+1/2'], ['x, y, z', '-y, x, z+1/2', '-x, -y, -z', 'y, -x, -z+1/2'], ['x, y, z', '-y, x, z+1/2', '-x, -y, -z', 'y, -x, -z+1/2'], ['x, y, z', '-y, x, z+1/2'], ['x, y, z', '-y, x, z+1/2'], ['x, y, z', '-y, x, z+1/2'], ['x, y, z', '-y, x, z+1/2'], ['x, y, z', '-y, x, z+1/2'], ['x, y, z', '-y, x, z+1/2']]\"\n85,\"[['x, y, z', '-x+1/2, -y+1/2, z', '-y+1/2, x, z', 'y, -x+1/2, z', '-x, -y, -z', 'x+1/2, y+1/2, -z', 'y+1/2, -x, -z', '-y, x+1/2, -z'], ['x, y, z', '-y+1/2, x, z', '-x, -y, -z', 'y+1/2, -x, -z'], ['x, y, z', '-x+1/2, -y+1/2, z', '-y+1/2, x, z', 'y, -x+1/2, z'], ['x, y, z', '-x+1/2, -y+1/2, z', '-y+1/2, x, z', 'y, -x+1/2, z'], ['x, y, z', '-x, -y, -z'], ['x, y, z', '-y+1/2, x, z'], ['x, y, z', '-y+1/2, x, z']]\"\n86,\"[['x, y, z', '-x+1/2, -y+1/2, z', '-y, x+1/2, z+1/2', 'y+1/2, -x, z+1/2', '-x, -y, -z', 'x+1/2, y+1/2, -z', 'y, -x+1/2, -z+1/2', '-y+1/2, x, -z+1/2'], ['x, y, z', '-y, x+1/2, z+1/2', '-x, -y, -z', 'y, -x+1/2, -z+1/2'], ['x, y, z', '-y, x+1/2, z+1/2', '-x, -y, -z', 'y, -x+1/2, -z+1/2'], ['x, y, z', '-x+1/2, -y+1/2, z', '-y, x+1/2, z+1/2', 'y+1/2, -x, z+1/2'], ['x, y, z', '-x+1/2, -y+1/2, z', '-y, x+1/2, z+1/2', 'y+1/2, -x, z+1/2'], ['x, y, z', '-y, x+1/2, z+1/2'], ['x, y, z', '-y, x+1/2, z+1/2']]\"\n87,\"[['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z', '-x, -y, -z', 'x, y, -z', 'y, -x, -z', '-y, x, -z', 'x+1/2, y+1/2, z+1/2', '-x+1/2, -y+1/2, z+1/2', '-y+1/2, x+1/2, z+1/2', 'y+1/2, -x+1/2, z+1/2', '-x+1/2, -y+1/2, -z+1/2', 'x+1/2, y+1/2, -z+1/2', 'y+1/2, -x+1/2, -z+1/2', '-y+1/2, x+1/2, -z+1/2'], ['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z', 'x+1/2, y+1/2, z+1/2', '-x+1/2, -y+1/2, z+1/2', '-y+1/2, x+1/2, z+1/2', 'y+1/2, -x+1/2, z+1/2'], ['x, y, z', '-y, x, z', '-x, -y, -z', 'y, -x, -z', 'x+1/2, y+1/2, z+1/2', '-y+1/2, x+1/2, z+1/2', '-x+1/2, -y+1/2, -z+1/2', 'y+1/2, -x+1/2, -z+1/2'], ['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z', '-x, -y, -z', 'x, y, -z', 'y, -x, -z', '-y, x, -z'], ['x, y, z', '-x, -y, -z', 'x+1/2, y+1/2, z+1/2', '-x+1/2, -y+1/2, -z+1/2'], ['x, y, z', '-y, x, z', '-x, -y, -z', 'y, -x, -z'], ['x, y, z', '-y, x, z', 'x+1/2, y+1/2, z+1/2', '-y+1/2, x+1/2, z+1/2'], ['x, y, z', 'x+1/2, y+1/2, z+1/2'], ['x, y, z', 'x+1/2, y+1/2, z+1/2']]\"\n88,\"[['x, y, z', '-x+1/2, -y, z+1/2', '-y+3/4, x+1/4, z+1/4', 'y+3/4, -x+3/4, z+3/4', '-x, -y, -z', 'x+1/2, y, -z+1/2', 'y+1/4, -x+3/4, -z+3/4', '-y+1/4, x+1/4, -z+1/4', 'x+1/2, y+1/2, z+1/2', '-x+1, -y+1/2, z+1', '-y+5/4, x+3/4, z+3/4', 'y+5/4, -x+5/4, z+5/4', '-x+1/2, -y+1/2, -z+1/2', 'x+1, y+1/2, -z+1', 'y+3/4, -x+5/4, -z+5/4', '-y+3/4, x+3/4, -z+3/4'], ['x, y, z', '-x+1/2, -y, z+1/2', '-y+3/4, x+1/4, z+1/4', 'y+3/4, -x+3/4, z+3/4', '-x, -y, -z', 'x+1/2, y, -z+1/2', 'y+1/4, -x+3/4, -z+3/4', '-y+1/4, x+1/4, -z+1/4'], ['x, y, z', '-x+1/2, -y, z+1/2', '-y+3/4, x+1/4, z+1/4', 'y+3/4, -x+3/4, z+3/4', 'y+1/4, -x+3/4, -z+3/4', '-y+1/4, x+1/4, -z+1/4', 'x+1/2, y+1/2, z+1/2', '-x+1, -y+1/2, z+1'], ['x, y, z', '-x+1/2, -y, z+1/2', '-y+3/4, x+1/4, z+1/4', 'y+3/4, -x+3/4, z+3/4', 'y+1/4, -x+3/4, -z+3/4', '-y+1/4, x+1/4, -z+1/4', 'x+1/2, y+1/2, z+1/2', '-x+1, -y+1/2, z+1'], ['x, y, z', '-x+1/2, -y, z+1/2', '-y+3/4, x+1/4, z+1/4', 'y+3/4, -x+3/4, z+3/4'], ['x, y, z', '-x+1/2, -y, z+1/2', '-y+3/4, x+1/4, z+1/4', 'y+3/4, -x+3/4, z+3/4']]\"\n89,\"[['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z', '-x, y, -z', 'x, -y, -z', 'y, x, -z', '-y, -x, -z'], ['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z'], ['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z'], ['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z'], ['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z'], ['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z'], ['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z'], ['x, y, z', '-y, x, z', '-x, y, -z', 'y, x, -z'], ['x, y, z', '-x, y, -z'], ['x, y, z', '-x, y, -z'], ['x, y, z', '-y, x, z'], ['x, y, z', '-y, x, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']]\"\n90,\"[['x, y, z', '-x, -y, z', '-y+1/2, x+1/2, z', 'y+1/2, -x+1/2, z', '-x+1/2, y+1/2, -z', 'x+1/2, -y+1/2, -z', 'y, x, -z', '-y, -x, -z'], ['x, y, z', '-x, -y, z', '-y+1/2, x+1/2, z', 'y+1/2, -x+1/2, z'], ['x, y, z', '-x, -y, z', '-y+1/2, x+1/2, z', 'y+1/2, -x+1/2, z'], ['x, y, z', '-y+1/2, x+1/2, z', '-x+1/2, y+1/2, -z', 'y, x, -z'], ['x, y, z', '-x+1/2, y+1/2, -z'], ['x, y, z', '-y+1/2, x+1/2, z'], ['x, y, z', '-y+1/2, x+1/2, z']]\"\n91,\"[['x, y, z', '-x, -y, z+1/2', '-y, x, z+1/4', 'y, -x, z+3/4', '-x, y, -z', 'x, -y, -z+1/2', 'y, x, -z+3/4', '-y, -x, -z+1/4'], ['x, y, z', '-x, -y, z+1/2', '-y, x, z+1/4', 'y, -x, z+3/4'], ['x, y, z', '-x, -y, z+1/2', '-y, x, z+1/4', 'y, -x, z+3/4'], ['x, y, z', '-x, -y, z+1/2', '-y, x, z+1/4', 'y, -x, z+3/4']]\"\n92,\"[['x, y, z', '-x, -y, z+1/2', '-y+1/2, x+1/2, z+1/4', 'y+1/2, -x+1/2, z+3/4', '-x+1/2, y+1/2, -z+1/4', 'x+1/2, -y+1/2, -z+3/4', 'y, x, -z', '-y, -x, -z+1/2'], ['x, y, z', '-x, -y, z+1/2', '-y+1/2, x+1/2, z+1/4', 'y+1/2, -x+1/2, z+3/4']]\"\n93,\"[['x, y, z', '-x, -y, z', '-y, x, z+1/2', 'y, -x, z+1/2', '-x, y, -z', 'x, -y, -z', 'y, x, -z+1/2', '-y, -x, -z+1/2'], ['x, y, z', '-x, -y, z', '-y, x, z+1/2', 'y, -x, z+1/2'], ['x, y, z', '-x, -y, z', '-y, x, z+1/2', 'y, -x, z+1/2'], ['x, y, z', '-x, -y, z', '-y, x, z+1/2', 'y, -x, z+1/2'], ['x, y, z', '-x, -y, z', '-y, x, z+1/2', 'y, -x, z+1/2'], ['x, y, z', '-x, -y, z', '-y, x, z+1/2', 'y, -x, z+1/2'], ['x, y, z', '-x, -y, z', '-y, x, z+1/2', 'y, -x, z+1/2'], ['x, y, z', '-y, x, z+1/2', '-x, y, -z', 'y, x, -z+1/2'], ['x, y, z', '-y, x, z+1/2', '-x, y, -z', 'y, x, -z+1/2'], ['x, y, z', '-y, x, z+1/2', '-x, y, -z', 'y, x, -z+1/2'], ['x, y, z', '-y, x, z+1/2'], ['x, y, z', '-y, x, z+1/2'], ['x, y, z', '-y, x, z+1/2'], ['x, y, z', '-y, x, z+1/2'], ['x, y, z', '-y, x, z+1/2'], ['x, y, z', '-y, x, z+1/2']]\"\n94,\"[['x, y, z', '-x, -y, z', '-y+1/2, x+1/2, z+1/2', 'y+1/2, -x+1/2, z+1/2', '-x+1/2, y+1/2, -z+1/2', 'x+1/2, -y+1/2, -z+1/2', 'y, x, -z', '-y, -x, -z'], ['x, y, z', '-x, -y, z', '-y+1/2, x+1/2, z+1/2', 'y+1/2, -x+1/2, z+1/2'], ['x, y, z', '-x, -y, z', '-y+1/2, x+1/2, z+1/2', 'y+1/2, -x+1/2, z+1/2'], ['x, y, z', '-y+1/2, x+1/2, z+1/2', '-x+1/2, y+1/2, -z+1/2', 'y, x, -z'], ['x, y, z', '-y+1/2, x+1/2, z+1/2', '-x+1/2, y+1/2, -z+1/2', 'y, x, -z'], ['x, y, z', '-y+1/2, x+1/2, z+1/2'], ['x, y, z', '-y+1/2, x+1/2, z+1/2']]\"\n95,\"[['x, y, z', '-x, -y, z+1/2', '-y, x, z+3/4', 'y, -x, z+1/4', '-x, y, -z', 'x, -y, -z+1/2', 'y, x, -z+1/4', '-y, -x, -z+3/4'], ['x, y, z', '-x, -y, z+1/2', '-y, x, z+3/4', 'y, -x, z+1/4'], ['x, y, z', '-x, -y, z+1/2', '-y, x, z+3/4', 'y, -x, z+1/4'], ['x, y, z', '-x, -y, z+1/2', '-y, x, z+3/4', 'y, -x, z+1/4']]\"\n96,\"[['x, y, z', '-x, -y, z+1/2', '-y+1/2, x+1/2, z+3/4', 'y+1/2, -x+1/2, z+1/4', '-x+1/2, y+1/2, -z+3/4', 'x+1/2, -y+1/2, -z+1/4', 'y, x, -z', '-y, -x, -z+1/2'], ['x, y, z', '-x, -y, z+1/2', '-y+1/2, x+1/2, z+3/4', 'y+1/2, -x+1/2, z+1/4']]\"\n97,\"[['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z', '-x, y, -z', 'x, -y, -z', 'y, x, -z', '-y, -x, -z', 'x+1/2, y+1/2, z+1/2', '-x+1/2, -y+1/2, z+1/2', '-y+1/2, x+1/2, z+1/2', 'y+1/2, -x+1/2, z+1/2', '-x+1/2, y+1/2, -z+1/2', 'x+1/2, -y+1/2, -z+1/2', 'y+1/2, x+1/2, -z+1/2', '-y+1/2, -x+1/2, -z+1/2'], ['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z', '-x, y, -z', 'x, -y, -z', 'y, x, -z', '-y, -x, -z'], ['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z', 'x+1/2, y+1/2, z+1/2', '-x+1/2, -y+1/2, z+1/2', '-y+1/2, x+1/2, z+1/2', 'y+1/2, -x+1/2, z+1/2'], ['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z', 'x+1/2, y+1/2, z+1/2', '-x+1/2, -y+1/2, z+1/2', '-y+1/2, x+1/2, z+1/2', 'y+1/2, -x+1/2, z+1/2'], ['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z', 'x+1/2, y+1/2, z+1/2', '-x+1/2, -y+1/2, z+1/2', '-y+1/2, x+1/2, z+1/2', 'y+1/2, -x+1/2, z+1/2'], ['x, y, z', '-y, x, z', '-x, y, -z', 'y, x, -z', 'x+1/2, y+1/2, z+1/2', '-y+1/2, x+1/2, z+1/2', '-x+1/2, y+1/2, -z+1/2', 'y+1/2, x+1/2, -z+1/2'], ['x, y, z', '-x, y, -z', 'x+1/2, y+1/2, z+1/2', '-x+1/2, y+1/2, -z+1/2'], ['x, y, z', '-y, x, z', '-x, y, -z', 'y, x, -z'], ['x, y, z', '-y, x, z', 'x+1/2, y+1/2, z+1/2', '-y+1/2, x+1/2, z+1/2'], ['x, y, z', 'x+1/2, y+1/2, z+1/2'], ['x, y, z', 'x+1/2, y+1/2, z+1/2']]\"\n98,\"[['x, y, z', '-x+1/2, -y+1/2, z+1/2', '-y, x+1/2, z+1/4', 'y+1/2, -x, z+3/4', '-x+1/2, y, -z+3/4', 'x, -y+1/2, -z+1/4', 'y+1/2, x+1/2, -z+1/2', '-y, -x, -z', 'x+1/2, y+1/2, z+1/2', '-x+1, -y+1, z+1', '-y+1/2, x+1, z+3/4', 'y+1, -x+1/2, z+5/4', '-x+1, y+1/2, -z+5/4', 'x+1/2, -y+1, -z+3/4', 'y+1, x+1, -z+1', '-y+1/2, -x+1/2, -z+1/2'], ['x, y, z', '-x+1/2, -y+1/2, z+1/2', '-y, x+1/2, z+1/4', 'y+1/2, -x, z+3/4', 'x+1/2, y+1/2, z+1/2', '-x+1, -y+1, z+1', '-y+1/2, x+1, z+3/4', 'y+1, -x+1/2, z+5/4'], ['x, y, z', '-x+1/2, -y+1/2, z+1/2', '-y, x+1/2, z+1/4', 'y+1/2, -x, z+3/4', 'x+1/2, y+1/2, z+1/2', '-x+1, -y+1, z+1', '-y+1/2, x+1, z+3/4', 'y+1, -x+1/2, z+5/4'], ['x, y, z', '-x+1/2, -y+1/2, z+1/2', '-y, x+1/2, z+1/4', 'y+1/2, -x, z+3/4', '-x+1/2, y, -z+3/4', 'x, -y+1/2, -z+1/4', 'y+1/2, x+1/2, -z+1/2', '-y, -x, -z'], ['x, y, z', '-x+1/2, -y+1/2, z+1/2', '-y, x+1/2, z+1/4', 'y+1/2, -x, z+3/4', '-x+1/2, y, -z+3/4', 'x, -y+1/2, -z+1/4', 'y+1/2, x+1/2, -z+1/2', '-y, -x, -z'], ['x, y, z', '-x+1/2, -y+1/2, z+1/2', '-y, x+1/2, z+1/4', 'y+1/2, -x, z+3/4'], ['x, y, z', '-x+1/2, -y+1/2, z+1/2', '-y, x+1/2, z+1/4', 'y+1/2, -x, z+3/4']]\"\n99,\"[['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z', 'x, -y, z', '-x, y, z', '-y, -x, z', 'y, x, z'], ['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z'], ['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z'], ['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z'], ['x, y, z', '-y, x, z'], ['x, y, z'], ['x, y, z']]\"\n100,\"[['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z', 'x+1/2, -y+1/2, z', '-x+1/2, y+1/2, z', '-y+1/2, -x+1/2, z', 'y+1/2, x+1/2, z'], ['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z'], ['x, y, z', '-y, x, z'], ['x, y, z', 'x+1/2, -y+1/2, z']]\"\n101,\"[['x, y, z', '-x, -y, z', '-y, x, z+1/2', 'y, -x, z+1/2', 'x, -y, z+1/2', '-x, y, z+1/2', '-y, -x, z', 'y, x, z'], ['x, y, z', '-x, -y, z', '-y, x, z+1/2', 'y, -x, z+1/2'], ['x, y, z', '-y, x, z+1/2', 'x, -y, z+1/2', '-y, -x, z'], ['x, y, z', '-y, x, z+1/2'], ['x, y, z', '-y, x, z+1/2']]\"\n102,\"[['x, y, z', '-x, -y, z', '-y+1/2, x+1/2, z+1/2', 'y+1/2, -x+1/2, z+1/2', 'x+1/2, -y+1/2, z+1/2', '-x+1/2, y+1/2, z+1/2', '-y, -x, z', 'y, x, z'], ['x, y, z', '-x, -y, z', '-y+1/2, x+1/2, z+1/2', 'y+1/2, -x+1/2, z+1/2'], ['x, y, z', '-y+1/2, x+1/2, z+1/2', 'x+1/2, -y+1/2, z+1/2', '-y, -x, z'], ['x, y, z', '-y+1/2, x+1/2, z+1/2']]\"\n103,\"[['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z', 'x, -y, z+1/2', '-x, y, z+1/2', '-y, -x, z+1/2', 'y, x, z+1/2'], ['x, y, z', '-y, x, z', 'x, -y, z+1/2', '-y, -x, z+1/2'], ['x, y, z', 'x, -y, z+1/2'], ['x, y, z', 'x, -y, z+1/2']]\"\n104,\"[['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z', 'x+1/2, -y+1/2, z+1/2', '-x+1/2, y+1/2, z+1/2', '-y+1/2, -x+1/2, z+1/2', 'y+1/2, x+1/2, z+1/2'], ['x, y, z', '-y, x, z', 'x+1/2, -y+1/2, z+1/2', '-y+1/2, -x+1/2, z+1/2'], ['x, y, z', 'x+1/2, -y+1/2, z+1/2']]\"\n105,\"[['x, y, z', '-x, -y, z', '-y, x, z+1/2', 'y, -x, z+1/2', 'x, -y, z', '-x, y, z', '-y, -x, z+1/2', 'y, x, z+1/2'], ['x, y, z', '-x, -y, z', '-y, x, z+1/2', 'y, -x, z+1/2'], ['x, y, z', '-x, -y, z', '-y, x, z+1/2', 'y, -x, z+1/2'], ['x, y, z', '-y, x, z+1/2'], ['x, y, z', '-y, x, z+1/2'], ['x, y, z', '-y, x, z+1/2']]\"\n106,\"[['x, y, z', '-x, -y, z', '-y, x, z+1/2', 'y, -x, z+1/2', 'x+1/2, -y+1/2, z', '-x+1/2, y+1/2, z', '-y+1/2, -x+1/2, z+1/2', 'y+1/2, x+1/2, z+1/2'], ['x, y, z', '-y, x, z+1/2', 'x+1/2, -y+1/2, z', '-y+1/2, -x+1/2, z+1/2'], ['x, y, z', '-y, x, z+1/2', 'x+1/2, -y+1/2, z', '-y+1/2, -x+1/2, z+1/2']]\"\n107,\"[['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z', 'x, -y, z', '-x, y, z', '-y, -x, z', 'y, x, z', 'x+1/2, y+1/2, z+1/2', '-x+1/2, -y+1/2, z+1/2', '-y+1/2, x+1/2, z+1/2', 'y+1/2, -x+1/2, z+1/2', 'x+1/2, -y+1/2, z+1/2', '-x+1/2, y+1/2, z+1/2', '-y+1/2, -x+1/2, z+1/2', 'y+1/2, x+1/2, z+1/2'], ['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z', 'x+1/2, y+1/2, z+1/2', '-x+1/2, -y+1/2, z+1/2', '-y+1/2, x+1/2, z+1/2', 'y+1/2, -x+1/2, z+1/2'], ['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z', 'x+1/2, y+1/2, z+1/2', '-x+1/2, -y+1/2, z+1/2', '-y+1/2, x+1/2, z+1/2', 'y+1/2, -x+1/2, z+1/2'], ['x, y, z', '-y, x, z', 'x+1/2, y+1/2, z+1/2', '-y+1/2, x+1/2, z+1/2'], ['x, y, z', 'x+1/2, y+1/2, z+1/2']]\"\n108,\"[['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z', 'x, -y, z+1/2', '-x, y, z+1/2', '-y, -x, z+1/2', 'y, x, z+1/2', 'x+1/2, y+1/2, z+1/2', '-x+1/2, -y+1/2, z+1/2', '-y+1/2, x+1/2, z+1/2', 'y+1/2, -x+1/2, z+1/2', 'x+1/2, -y+1/2, z+1', '-x+1/2, y+1/2, z+1', '-y+1/2, -x+1/2, z+1', 'y+1/2, x+1/2, z+1'], ['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z', 'x, -y, z+1/2', '-x, y, z+1/2', '-y, -x, z+1/2', 'y, x, z+1/2'], ['x, y, z', '-y, x, z', 'x, -y, z+1/2', '-y, -x, z+1/2'], ['x, y, z', 'x, -y, z+1/2', 'x+1/2, y+1/2, z+1/2', 'x+1/2, -y+1/2, z+1']]\"\n109,\"[['x, y, z', '-x+1/2, -y+1/2, z+1/2', '-y, x+1/2, z+1/4', 'y+1/2, -x, z+3/4', 'x, -y, z', '-x+1/2, y+1/2, z+1/2', '-y, -x+1/2, z+1/4', 'y+1/2, x, z+3/4', 'x+1/2, y+1/2, z+1/2', '-x+1, -y+1, z+1', '-y+1/2, x+1, z+3/4', 'y+1, -x+1/2, z+5/4', 'x+1/2, -y+1/2, z+1/2', '-x+1, y+1, z+1', '-y+1/2, -x+1, z+3/4', 'y+1, x+1/2, z+5/4'], ['x, y, z', '-x+1/2, -y+1/2, z+1/2', '-y, x+1/2, z+1/4', 'y+1/2, -x, z+3/4', 'x, -y, z', '-x+1/2, y+1/2, z+1/2', '-y+1/2, x+1, z+3/4', 'y+1, -x+1/2, z+5/4'], ['x, y, z', '-x+1/2, -y+1/2, z+1/2', '-y, x+1/2, z+1/4', 'y+1/2, -x, z+3/4']]\"\n110,\"[['x, y, z', '-x+1/2, -y+1/2, z+1/2', '-y, x+1/2, z+1/4', 'y+1/2, -x, z+3/4', 'x, -y, z+1/2', '-x+1/2, y+1/2, z', '-y, -x+1/2, z+3/4', 'y+1/2, x, z+1/4', 'x+1/2, y+1/2, z+1/2', '-x+1, -y+1, z+1', '-y+1/2, x+1, z+3/4', 'y+1, -x+1/2, z+5/4', 'x+1/2, -y+1/2, z+1', '-x+1, y+1, z+1/2', '-y+1/2, -x+1, z+5/4', 'y+1, x+1/2, z+3/4'], ['x, y, z', '-x+1/2, -y+1/2, z+1/2', '-y, x+1/2, z+1/4', 'y+1/2, -x, z+3/4', 'x, -y, z+1/2', '-x+1/2, y+1/2, z', '-y, -x+1/2, z+3/4', 'y+1/2, x, z+1/4']]\"\n111,\"[['x, y, z', '-x, -y, z', 'y, -x, -z', '-y, x, -z', '-x, y, -z', 'x, -y, -z', '-y, -x, z', 'y, x, z'], ['x, y, z', '-x, -y, z', 'y, -x, -z', '-y, x, -z'], ['x, y, z', 'y, -x, -z', '-x, y, -z', '-y, -x, z'], ['x, y, z', '-x, -y, z', 'y, -x, -z', '-y, x, -z'], ['x, y, z', '-x, -y, z', 'y, -x, -z', '-y, x, -z'], ['x, y, z', '-x, -y, z', 'y, -x, -z', '-y, x, -z'], ['x, y, z', '-x, -y, z', 'y, -x, -z', '-y, x, -z'], ['x, y, z', 'y, -x, -z'], ['x, y, z', 'y, -x, -z'], ['x, y, z', 'y, -x, -z'], ['x, y, z', 'y, -x, -z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']]\"\n112,\"[['x, y, z', '-x, -y, z', 'y, -x, -z', '-y, x, -z', '-x, y, -z+1/2', 'x, -y, -z+1/2', '-y, -x, z+1/2', 'y, x, z+1/2'], ['x, y, z', 'y, -x, -z', '-x, y, -z+1/2', '-y, -x, z+1/2'], ['x, y, z', 'y, -x, -z', '-x, y, -z+1/2', '-y, -x, z+1/2'], ['x, y, z', 'y, -x, -z', '-x, y, -z+1/2', '-y, -x, z+1/2'], ['x, y, z', '-x, -y, z', 'y, -x, -z', '-y, x, -z'], ['x, y, z', '-x, -y, z', 'y, -x, -z', '-y, x, -z'], ['x, y, z', '-x, -y, z', 'y, -x, -z', '-y, x, -z'], ['x, y, z', '-x, -y, z', 'y, -x, -z', '-y, x, -z'], ['x, y, z', '-x, y, -z+1/2'], ['x, y, z', '-x, y, -z+1/2'], ['x, y, z', 'y, -x, -z'], ['x, y, z', 'y, -x, -z'], ['x, y, z', 'y, -x, -z'], ['x, y, z', 'y, -x, -z']]\"\n113,\"[['x, y, z', '-x, -y, z', 'y, -x, -z', '-y, x, -z', '-x+1/2, y+1/2, -z', 'x+1/2, -y+1/2, -z', '-y+1/2, -x+1/2, z', 'y+1/2, x+1/2, z'], ['x, y, z', '-x, -y, z', 'y, -x, -z', '-y, x, -z'], ['x, y, z', 'y, -x, -z', '-x+1/2, y+1/2, -z', '-y+1/2, -x+1/2, z'], ['x, y, z', 'y, -x, -z'], ['x, y, z', '-x+1/2, y+1/2, -z'], ['x, y, z', '-x+1/2, y+1/2, -z']]\"\n114,\"[['x, y, z', '-x, -y, z', 'y, -x, -z', '-y, x, -z', '-x+1/2, y+1/2, -z+1/2', 'x+1/2, -y+1/2, -z+1/2', '-y+1/2, -x+1/2, z+1/2', 'y+1/2, x+1/2, z+1/2'], ['x, y, z', 'y, -x, -z', '-x+1/2, y+1/2, -z+1/2', '-y+1/2, -x+1/2, z+1/2'], ['x, y, z', 'y, -x, -z', '-x+1/2, y+1/2, -z+1/2', '-y+1/2, -x+1/2, z+1/2'], ['x, y, z', '-x+1/2, y+1/2, -z+1/2'], ['x, y, z', '-x+1/2, y+1/2, -z+1/2']]\"\n115,\"[['x, y, z', '-x, -y, z', 'y, -x, -z', '-y, x, -z', 'x, -y, z', '-x, y, z', 'y, x, -z', '-y, -x, -z'], ['x, y, z', '-x, -y, z', 'y, -x, -z', '-y, x, -z'], ['x, y, z', '-x, -y, z', 'y, -x, -z', '-y, x, -z'], ['x, y, z', '-x, -y, z', 'y, -x, -z', '-y, x, -z'], ['x, y, z', '-x, -y, z', 'y, -x, -z', '-y, x, -z'], ['x, y, z', 'y, -x, -z'], ['x, y, z', 'y, -x, -z'], ['x, y, z', 'y, -x, -z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']]\"\n116,\"[['x, y, z', '-x, -y, z', 'y, -x, -z', '-y, x, -z', 'x, -y, z+1/2', '-x, y, z+1/2', 'y, x, -z+1/2', '-y, -x, -z+1/2'], ['x, y, z', 'y, -x, -z', 'x, -y, z+1/2', 'y, x, -z+1/2'], ['x, y, z', 'y, -x, -z', 'x, -y, z+1/2', 'y, x, -z+1/2'], ['x, y, z', 'y, -x, -z', 'x, -y, z+1/2', 'y, x, -z+1/2'], ['x, y, z', '-x, -y, z', 'y, -x, -z', '-y, x, -z'], ['x, y, z', '-x, -y, z', 'y, -x, -z', '-y, x, -z'], ['x, y, z', 'x, -y, z+1/2'], ['x, y, z', 'x, -y, z+1/2'], ['x, y, z', 'y, -x, -z'], ['x, y, z', 'y, -x, -z']]\"\n117,\"[['x, y, z', '-x, -y, z', 'y, -x, -z', '-y, x, -z', 'x+1/2, -y+1/2, z', '-x+1/2, y+1/2, z', 'y+1/2, x+1/2, -z', '-y+1/2, -x+1/2, -z'], ['x, y, z', '-x, -y, z', 'y, -x, -z', '-y, x, -z'], ['x, y, z', '-x, -y, z', 'y, -x, -z', '-y, x, -z'], ['x, y, z', 'y, -x, -z', 'x+1/2, -y+1/2, z', 'y+1/2, x+1/2, -z'], ['x, y, z', 'y, -x, -z', 'x+1/2, -y+1/2, z', 'y+1/2, x+1/2, -z'], ['x, y, z', 'y, -x, -z'], ['x, y, z', 'y, -x, -z'], ['x, y, z', 'x+1/2, -y+1/2, z'], ['x, y, z', 'x+1/2, -y+1/2, z']]\"\n118,\"[['x, y, z', '-x, -y, z', 'y, -x, -z', '-y, x, -z', 'x+1/2, -y+1/2, z+1/2', '-x+1/2, y+1/2, z+1/2', 'y+1/2, x+1/2, -z+1/2', '-y+1/2, -x+1/2, -z+1/2'], ['x, y, z', 'y, -x, -z', 'x+1/2, -y+1/2, z+1/2', 'y+1/2, x+1/2, -z+1/2'], ['x, y, z', '-x, -y, z', 'y, -x, -z', '-y, x, -z'], ['x, y, z', '-x, -y, z', 'y, -x, -z', '-y, x, -z'], ['x, y, z', 'y, -x, -z', 'x+1/2, -y+1/2, z+1/2', 'y+1/2, x+1/2, -z+1/2'], ['x, y, z', 'y, -x, -z'], ['x, y, z', 'y, -x, -z'], ['x, y, z', 'x+1/2, -y+1/2, z+1/2'], ['x, y, z', 'x+1/2, -y+1/2, z+1/2']]\"\n119,\"[['x, y, z', '-x, -y, z', 'y, -x, -z', '-y, x, -z', 'x, -y, z', '-x, y, z', 'y, x, -z', '-y, -x, -z', 'x+1/2, y+1/2, z+1/2', '-x+1/2, -y+1/2, z+1/2', 'y+1/2, -x+1/2, -z+1/2', '-y+1/2, x+1/2, -z+1/2', 'x+1/2, -y+1/2, z+1/2', '-x+1/2, y+1/2, z+1/2', 'y+1/2, x+1/2, -z+1/2', '-y+1/2, -x+1/2, -z+1/2'], ['x, y, z', '-x, -y, z', 'y, -x, -z', '-y, x, -z', 'x+1/2, y+1/2, z+1/2', '-x+1/2, -y+1/2, z+1/2', 'y+1/2, -x+1/2, -z+1/2', '-y+1/2, x+1/2, -z+1/2'], ['x, y, z', '-x, -y, z', 'y, -x, -z', '-y, x, -z', 'x, -y, z', '-x, y, z', 'y, x, -z', '-y, -x, -z'], ['x, y, z', '-x, -y, z', 'y, -x, -z', '-y, x, -z', 'x+1/2, y+1/2, z+1/2', '-x+1/2, -y+1/2, z+1/2', 'y+1/2, -x+1/2, -z+1/2', '-y+1/2, x+1/2, -z+1/2'], ['x, y, z', 'y, -x, -z', 'x+1/2, y+1/2, z+1/2', 'y+1/2, -x+1/2, -z+1/2'], ['x, y, z', 'y, -x, -z', 'x+1/2, y+1/2, z+1/2', 'y+1/2, -x+1/2, -z+1/2'], ['x, y, z', 'y, -x, -z'], ['x, y, z', 'y, -x, -z'], ['x, y, z', 'x+1/2, y+1/2, z+1/2'], ['x, y, z', 'x+1/2, y+1/2, z+1/2']]\"\n120,\"[['x, y, z', '-x, -y, z', 'y, -x, -z', '-y, x, -z', 'x, -y, z+1/2', '-x, y, z+1/2', 'y, x, -z+1/2', '-y, -x, -z+1/2', 'x+1/2, y+1/2, z+1/2', '-x+1/2, -y+1/2, z+1/2', 'y+1/2, -x+1/2, -z+1/2', '-y+1/2, x+1/2, -z+1/2', 'x+1/2, -y+1/2, z+1', '-x+1/2, y+1/2, z+1', 'y+1/2, x+1/2, -z+1', '-y+1/2, -x+1/2, -z+1'], ['x, y, z', '-x, -y, z', 'y, -x, -z', '-y, x, -z', 'x, -y, z+1/2', '-x, y, z+1/2', 'y, x, -z+1/2', '-y, -x, -z+1/2'], ['x, y, z', 'y, -x, -z', 'x, -y, z+1/2', 'y, x, -z+1/2', 'x+1/2, y+1/2, z+1/2', 'y+1/2, -x+1/2, -z+1/2', 'x+1/2, -y+1/2, z+1', 'y+1/2, x+1/2, -z+1'], ['x, y, z', 'y, -x, -z', 'x, -y, z+1/2', 'y, x, -z+1/2', 'x+1/2, y+1/2, z+1/2', 'y+1/2, -x+1/2, -z+1/2', 'x+1/2, -y+1/2, z+1', 'y+1/2, x+1/2, -z+1'], ['x, y, z', '-x, -y, z', 'y, -x, -z', '-y, x, -z', 'x+1/2, y+1/2, z+1/2', '-x+1/2, -y+1/2, z+1/2', 'y+1/2, -x+1/2, -z+1/2', '-y+1/2, x+1/2, -z+1/2'], ['x, y, z', 'y, -x, -z', 'x, -y, z+1/2', 'y, x, -z+1/2'], ['x, y, z', 'y, -x, -z', 'x, -y, z+1/2', 'y, x, -z+1/2'], ['x, y, z', 'x, -y, z+1/2', 'x+1/2, y+1/2, z+1/2', 'x+1/2, -y+1/2, z+1'], ['x, y, z', 'y, -x, -z', 'x+1/2, y+1/2, z+1/2', 'y+1/2, -x+1/2, -z+1/2']]\"\n121,\"[['x, y, z', '-x, -y, z', 'y, -x, -z', '-y, x, -z', '-x, y, -z', 'x, -y, -z', '-y, -x, z', 'y, x, z', 'x+1/2, y+1/2, z+1/2', '-x+1/2, -y+1/2, z+1/2', 'y+1/2, -x+1/2, -z+1/2', '-y+1/2, x+1/2, -z+1/2', '-x+1/2, y+1/2, -z+1/2', 'x+1/2, -y+1/2, -z+1/2', '-y+1/2, -x+1/2, z+1/2', 'y+1/2, x+1/2, z+1/2'], ['x, y, z', '-x, -y, z', 'y, -x, -z', '-y, x, -z', 'x+1/2, y+1/2, z+1/2', '-x+1/2, -y+1/2, z+1/2', 'y+1/2, -x+1/2, -z+1/2', '-y+1/2, x+1/2, -z+1/2'], ['x, y, z', 'y, -x, -z', '-x, y, -z', '-y, -x, z', 'x+1/2, y+1/2, z+1/2', 'y+1/2, -x+1/2, -z+1/2', '-x+1/2, y+1/2, -z+1/2', '-y+1/2, -x+1/2, z+1/2'], ['x, y, z', '-x, -y, z', 'y, -x, -z', '-y, x, -z', 'x+1/2, y+1/2, z+1/2', '-x+1/2, -y+1/2, z+1/2', 'y+1/2, -x+1/2, -z+1/2', '-y+1/2, x+1/2, -z+1/2'], ['x, y, z', '-x, -y, z', 'y, -x, -z', '-y, x, -z', 'x+1/2, y+1/2, z+1/2', '-x+1/2, -y+1/2, z+1/2', 'y+1/2, -x+1/2, -z+1/2', '-y+1/2, x+1/2, -z+1/2'], ['x, y, z', 'y, -x, -z', 'x+1/2, y+1/2, z+1/2', 'y+1/2, -x+1/2, -z+1/2'], ['x, y, z', 'y, -x, -z', '-x, y, -z', '-y, -x, z'], ['x, y, z', 'y, -x, -z', 'x+1/2, y+1/2, z+1/2', 'y+1/2, -x+1/2, -z+1/2'], ['x, y, z', 'x+1/2, y+1/2, z+1/2'], ['x, y, z', 'x+1/2, y+1/2, z+1/2']]\"\n122,\"[['x, y, z', '-x, -y, z', 'y, -x, -z', '-y, x, -z', '-x+1/2, y, -z+3/4', 'x+1/2, -y, -z+3/4', '-y+1/2, -x, z+3/4', 'y+1/2, x, z+3/4', 'x+1/2, y+1/2, z+1/2', '-x+1/2, -y+1/2, z+1/2', 'y+1/2, -x+1/2, -z+1/2', '-y+1/2, x+1/2, -z+1/2', '-x+1, y+1/2, -z+5/4', 'x+1, -y+1/2, -z+5/4', '-y+1, -x+1/2, z+5/4', 'y+1, x+1/2, z+5/4'], ['x, y, z', '-x, -y, z', 'y, -x, -z', '-y, x, -z', '-x+1/2, y, -z+3/4', 'x+1/2, -y, -z+3/4', 'y+1/2, -x+1/2, -z+1/2', '-y+1/2, x+1/2, -z+1/2'], ['x, y, z', 'y, -x, -z', '-x+1/2, y, -z+3/4', '-y+1/2, -x, z+3/4', 'x+1/2, y+1/2, z+1/2', 'y+1/2, -x+1/2, -z+1/2', '-x+1, y+1/2, -z+5/4', '-y+1, -x+1/2, z+5/4'], ['x, y, z', '-x+1/2, y, -z+3/4', 'x+1/2, y+1/2, z+1/2', '-x+1, y+1/2, -z+5/4'], ['x, y, z', '-x+1/2, y, -z+3/4', 'x+1/2, y+1/2, z+1/2', '-x+1, y+1/2, -z+5/4']]\"\n123,\"[['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z', '-x, y, -z', 'x, -y, -z', 'y, x, -z', '-y, -x, -z', '-x, -y, -z', 'x, y, -z', 'y, -x, -z', '-y, x, -z', 'x, -y, z', '-x, y, z', '-y, -x, z', 'y, x, z'], ['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z', '-x, y, -z', 'x, -y, -z', 'y, x, -z', '-y, -x, -z'], ['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z', '-x, y, -z', 'x, -y, -z', 'y, x, -z', '-y, -x, -z'], ['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z', '-x, y, -z', 'x, -y, -z', 'y, x, -z', '-y, -x, -z'], ['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z', '-x, y, -z', 'x, -y, -z', 'y, x, -z', '-y, -x, -z'], ['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z', '-x, y, -z', 'x, -y, -z', 'y, x, -z', '-y, -x, -z'], ['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z'], ['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z'], ['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z'], ['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z'], ['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z'], ['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z'], ['x, y, z', '-y, x, z', '-x, y, -z', 'y, x, -z'], ['x, y, z', '-x, y, -z'], ['x, y, z', '-x, y, -z'], ['x, y, z', '-y, x, z'], ['x, y, z', '-y, x, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']]\"\n124,\"[['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z', '-x, y, -z+1/2', 'x, -y, -z+1/2', 'y, x, -z+1/2', '-y, -x, -z+1/2', '-x, -y, -z', 'x, y, -z', 'y, -x, -z', '-y, x, -z', 'x, -y, z+1/2', '-x, y, z+1/2', '-y, -x, z+1/2', 'y, x, z+1/2'], ['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z', '-x, y, -z+1/2', 'x, -y, -z+1/2', 'y, x, -z+1/2', '-y, -x, -z+1/2'], ['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z', '-x, -y, -z', 'x, y, -z', 'y, -x, -z', '-y, x, -z'], ['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z', '-x, -y, -z', 'x, y, -z', 'y, -x, -z', '-y, x, -z'], ['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z', '-x, -y, -z', 'x, y, -z', 'y, -x, -z', '-y, x, -z'], ['x, y, z', '-y, x, z', '-x, y, -z+1/2', 'y, x, -z+1/2', '-x, -y, -z', 'y, -x, -z', 'x, -y, z+1/2', '-y, -x, z+1/2'], ['x, y, z', '-x, y, -z+1/2', '-x, -y, -z', 'x, -y, z+1/2'], ['x, y, z', '-x, y, -z+1/2', '-x, -y, -z', 'x, -y, z+1/2'], ['x, y, z', '-y, x, z', '-x, -y, -z', 'y, -x, -z'], ['x, y, z', '-y, x, z', '-x, y, -z+1/2', 'y, x, -z+1/2'], ['x, y, z', '-x, y, -z+1/2'], ['x, y, z', '-x, -y, -z'], ['x, y, z', '-x, y, -z+1/2'], ['x, y, z', '-x, -y, -z']]\"\n125,\"[['x, y, z', '-x+1/2, -y+1/2, z', '-y+1/2, x, z', 'y, -x+1/2, z', '-x+1/2, y, -z', 'x, -y+1/2, -z', 'y, x, -z', '-y+1/2, -x+1/2, -z', '-x, -y, -z', 'x+1/2, y+1/2, -z', 'y+1/2, -x, -z', '-y, x+1/2, -z', 'x+1/2, -y, z', '-x, y+1/2, z', '-y, -x, z', 'y+1/2, x+1/2, z'], ['x, y, z', '-x+1/2, -y+1/2, z', '-y+1/2, x, z', 'y, -x+1/2, z', '-x+1/2, y, -z', 'x, -y+1/2, -z', 'y, x, -z', '-y+1/2, -x+1/2, -z'], ['x, y, z', '-x+1/2, -y+1/2, z', '-y+1/2, x, z', 'y, -x+1/2, z', '-x, -y, -z', 'x+1/2, y+1/2, -z', 'y+1/2, -x, -z', '-y, x+1/2, -z'], ['x, y, z', '-x+1/2, -y+1/2, z', '-y+1/2, x, z', 'y, -x+1/2, z', '-x, -y, -z', 'x+1/2, y+1/2, -z', 'y+1/2, -x, -z', '-y, x+1/2, -z'], ['x, y, z', '-x+1/2, -y+1/2, z', '-y+1/2, x, z', 'y, -x+1/2, z', '-x, -y, -z', 'x+1/2, y+1/2, -z', 'y+1/2, -x, -z', '-y, x+1/2, -z'], ['x, y, z', '-x+1/2, -y+1/2, z', '-y+1/2, x, z', 'y, -x+1/2, z', '-x, -y, -z', 'x+1/2, y+1/2, -z', 'y+1/2, -x, -z', '-y, x+1/2, -z'], ['x, y, z', '-y+1/2, x, z', '-x+1/2, y, -z', 'y, x, -z'], ['x, y, z', '-x+1/2, y, -z', '-x, -y, -z', 'x+1/2, -y, z'], ['x, y, z', '-x+1/2, -y+1/2, z', '-y+1/2, x, z', 'y, -x+1/2, z'], ['x, y, z', '-x+1/2, -y+1/2, z', '-y+1/2, x, z', 'y, -x+1/2, z'], ['x, y, z', '-y+1/2, x, z'], ['x, y, z', '-y+1/2, x, z'], ['x, y, z', '-x, -y, -z'], ['x, y, z', '-x, -y, -z']]\"\n126,\"[['x, y, z', '-x+1/2, -y+1/2, z', '-y+1/2, x, z', 'y, -x+1/2, z', '-x+1/2, y, -z+1/2', 'x, -y+1/2, -z+1/2', 'y, x, -z+1/2', '-y+1/2, -x+1/2, -z+1/2', '-x, -y, -z', 'x+1/2, y+1/2, -z', 'y+1/2, -x, -z', '-y, x+1/2, -z', 'x+1/2, -y, z+1/2', '-x, y+1/2, z+1/2', '-y, -x, z+1/2', 'y+1/2, x+1/2, z+1/2'], ['x, y, z', '-x+1/2, -y+1/2, z', '-y+1/2, x, z', 'y, -x+1/2, z', '-x, -y, -z', 'x+1/2, y+1/2, -z', 'y+1/2, -x, -z', '-y, x+1/2, -z'], ['x, y, z', '-x+1/2, -y+1/2, z', '-y+1/2, x, z', 'y, -x+1/2, z', '-x, -y, -z', 'x+1/2, y+1/2, -z', 'y+1/2, -x, -z', '-y, x+1/2, -z'], ['x, y, z', '-x+1/2, -y+1/2, z', '-y+1/2, x, z', 'y, -x+1/2, z', '-x, -y, -z', 'x+1/2, y+1/2, -z', 'y+1/2, -x, -z', '-y, x+1/2, -z'], ['x, y, z', '-y+1/2, x, z', '-x+1/2, y, -z+1/2', 'y, x, -z+1/2', '-x, -y, -z', 'y+1/2, -x, -z', 'x+1/2, -y, z+1/2', '-y, -x, z+1/2'], ['x, y, z', '-x+1/2, -y+1/2, z', '-y+1/2, x, z', 'y, -x+1/2, z', '-x+1/2, y, -z+1/2', 'x, -y+1/2, -z+1/2', 'y, x, -z+1/2', '-y+1/2, -x+1/2, -z+1/2'], ['x, y, z', '-x+1/2, y, -z+1/2', '-x, -y, -z', 'x+1/2, -y, z+1/2'], ['x, y, z', '-y+1/2, x, z', '-x+1/2, y, -z+1/2', 'y, x, -z+1/2'], ['x, y, z', '-y+1/2, x, z', '-x, -y, -z', 'y+1/2, -x, -z'], ['x, y, z', '-x, -y, -z'], ['x, y, z', '-x, -y, -z']]\"\n127,\"[['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z', '-x+1/2, y+1/2, -z', 'x+1/2, -y+1/2, -z', 'y+1/2, x+1/2, -z', '-y+1/2, -x+1/2, -z', '-x, -y, -z', 'x, y, -z', 'y, -x, -z', '-y, x, -z', 'x+1/2, -y+1/2, z', '-x+1/2, y+1/2, z', '-y+1/2, -x+1/2, z', 'y+1/2, x+1/2, z'], ['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z', '-x+1/2, y+1/2, -z', 'x+1/2, -y+1/2, -z', 'y+1/2, x+1/2, -z', '-y+1/2, -x+1/2, -z'], ['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z', '-x+1/2, y+1/2, -z', 'x+1/2, -y+1/2, -z', 'y+1/2, x+1/2, -z', '-y+1/2, -x+1/2, -z'], ['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z', '-x+1/2, y+1/2, -z', 'x+1/2, -y+1/2, -z', 'y+1/2, x+1/2, -z', '-y+1/2, -x+1/2, -z'], ['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z'], ['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z'], ['x, y, z', '-y, x, z', '-x+1/2, y+1/2, -z', 'y+1/2, x+1/2, -z'], ['x, y, z', '-x+1/2, y+1/2, -z', '-x, -y, -z', 'x+1/2, -y+1/2, z'], ['x, y, z', '-y, x, z'], ['x, y, z', '-y, x, z'], ['x, y, z', '-x+1/2, y+1/2, -z'], ['x, y, z', '-x+1/2, y+1/2, -z']]\"\n128,\"[['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z', '-x+1/2, y+1/2, -z+1/2', 'x+1/2, -y+1/2, -z+1/2', 'y+1/2, x+1/2, -z+1/2', '-y+1/2, -x+1/2, -z+1/2', '-x, -y, -z', 'x, y, -z', 'y, -x, -z', '-y, x, -z', 'x+1/2, -y+1/2, z+1/2', '-x+1/2, y+1/2, z+1/2', '-y+1/2, -x+1/2, z+1/2', 'y+1/2, x+1/2, z+1/2'], ['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z', '-x+1/2, y+1/2, -z+1/2', 'x+1/2, -y+1/2, -z+1/2', 'y+1/2, x+1/2, -z+1/2', '-y+1/2, -x+1/2, -z+1/2'], ['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z', '-x, -y, -z', 'x, y, -z', 'y, -x, -z', '-y, x, -z'], ['x, y, z', '-y, x, z', '-x+1/2, y+1/2, -z+1/2', 'y+1/2, x+1/2, -z+1/2', '-x, -y, -z', 'y, -x, -z', 'x+1/2, -y+1/2, z+1/2', '-y+1/2, -x+1/2, z+1/2'], ['x, y, z', '-x+1/2, y+1/2, -z+1/2', '-x, -y, -z', 'x+1/2, -y+1/2, z+1/2'], ['x, y, z', '-y, x, z', '-x, -y, -z', 'y, -x, -z'], ['x, y, z', '-y, x, z', '-x+1/2, y+1/2, -z+1/2', 'y+1/2, x+1/2, -z+1/2'], ['x, y, z', '-x+1/2, y+1/2, -z+1/2'], ['x, y, z', '-x+1/2, y+1/2, -z+1/2']]\"\n129,\"[['x, y, z', '-x+1/2, -y+1/2, z', '-y+1/2, x, z', 'y, -x+1/2, z', '-x, y+1/2, -z', 'x+1/2, -y, -z', 'y+1/2, x+1/2, -z', '-y, -x, -z', '-x, -y, -z', 'x+1/2, y+1/2, -z', 'y+1/2, -x, -z', '-y, x+1/2, -z', 'x, -y+1/2, z', '-x+1/2, y, z', '-y+1/2, -x+1/2, z', 'y, x, z'], ['x, y, z', '-x+1/2, -y+1/2, z', '-y+1/2, x, z', 'y, -x+1/2, z', '-x, y+1/2, -z', 'x+1/2, -y, -z', 'y+1/2, x+1/2, -z', '-y, -x, -z'], ['x, y, z', '-x+1/2, -y+1/2, z', '-y+1/2, x, z', 'y, -x+1/2, z', '-x, y+1/2, -z', 'x+1/2, -y, -z', 'y+1/2, x+1/2, -z', '-y, -x, -z'], ['x, y, z', '-x+1/2, -y+1/2, z', '-y+1/2, x, z', 'y, -x+1/2, z', '-x, -y, -z', 'x+1/2, y+1/2, -z', 'y+1/2, -x, -z', '-y, x+1/2, -z'], ['x, y, z', '-x+1/2, -y+1/2, z', '-y+1/2, x, z', 'y, -x+1/2, z', '-x, -y, -z', 'x+1/2, y+1/2, -z', 'y+1/2, -x, -z', '-y, x+1/2, -z'], ['x, y, z', '-y+1/2, x, z', '-x, y+1/2, -z', 'y+1/2, x+1/2, -z'], ['x, y, z', '-x+1/2, -y+1/2, z', '-y+1/2, x, z', 'y, -x+1/2, z'], ['x, y, z', '-x+1/2, -y+1/2, z', '-y+1/2, x, z', 'y, -x+1/2, z'], ['x, y, z', '-x, y+1/2, -z'], ['x, y, z', '-y+1/2, x, z'], ['x, y, z', '-y+1/2, x, z']]\"\n130,\"[['x, y, z', '-x+1/2, -y+1/2, z', '-y+1/2, x, z', 'y, -x+1/2, z', '-x, y+1/2, -z+1/2', 'x+1/2, -y, -z+1/2', 'y+1/2, x+1/2, -z+1/2', '-y, -x, -z+1/2', '-x, -y, -z', 'x+1/2, y+1/2, -z', 'y+1/2, -x, -z', '-y, x+1/2, -z', 'x, -y+1/2, z+1/2', '-x+1/2, y, z+1/2', '-y+1/2, -x+1/2, z+1/2', 'y, x, z+1/2'], ['x, y, z', '-x+1/2, -y+1/2, z', '-y+1/2, x, z', 'y, -x+1/2, z', '-x, -y, -z', 'x+1/2, y+1/2, -z', 'y+1/2, -x, -z', '-y, x+1/2, -z'], ['x, y, z', '-y+1/2, x, z', '-x, y+1/2, -z+1/2', 'y+1/2, x+1/2, -z+1/2', '-x, -y, -z', 'y+1/2, -x, -z', 'x, -y+1/2, z+1/2', '-y+1/2, -x+1/2, z+1/2'], ['x, y, z', '-x+1/2, -y+1/2, z', '-y+1/2, x, z', 'y, -x+1/2, z', '-x, y+1/2, -z+1/2', 'x+1/2, -y, -z+1/2', 'y+1/2, x+1/2, -z+1/2', '-y, -x, -z+1/2'], ['x, y, z', '-x, y+1/2, -z+1/2', '-x, -y, -z', 'x, -y+1/2, z+1/2'], ['x, y, z', '-y+1/2, x, z', '-x, y+1/2, -z+1/2', 'y+1/2, x+1/2, -z+1/2'], ['x, y, z', '-y+1/2, x, z', '-x, -y, -z', 'y+1/2, -x, -z']]\"\n131,\"[['x, y, z', '-x, -y, z', '-y, x, z+1/2', 'y, -x, z+1/2', '-x, y, -z', 'x, -y, -z', 'y, x, -z+1/2', '-y, -x, -z+1/2', '-x, -y, -z', 'x, y, -z', 'y, -x, -z+1/2', '-y, x, -z+1/2', 'x, -y, z', '-x, y, z', '-y, -x, z+1/2', 'y, x, z+1/2'], ['x, y, z', '-x, -y, z', '-y, x, z+1/2', 'y, -x, z+1/2', '-x, y, -z', 'x, -y, -z', 'y, x, -z+1/2', '-y, -x, -z+1/2'], ['x, y, z', '-x, -y, z', '-y, x, z+1/2', 'y, -x, z+1/2', '-x, y, -z', 'x, -y, -z', 'y, x, -z+1/2', '-y, -x, -z+1/2'], ['x, y, z', '-x, -y, z', '-y, x, z+1/2', 'y, -x, z+1/2', '-x, y, -z', 'x, -y, -z', 'y, x, -z+1/2', '-y, -x, -z+1/2'], ['x, y, z', '-x, -y, z', '-y, x, z+1/2', 'y, -x, z+1/2', '-x, -y, -z', 'x, y, -z', 'y, -x, -z+1/2', '-y, x, -z+1/2'], ['x, y, z', '-x, -y, z', '-y, x, z+1/2', 'y, -x, z+1/2'], ['x, y, z', '-x, -y, z', '-y, x, z+1/2', 'y, -x, z+1/2'], ['x, y, z', '-x, -y, z', '-y, x, z+1/2', 'y, -x, z+1/2'], ['x, y, z', '-x, -y, z', '-y, x, z+1/2', 'y, -x, z+1/2'], ['x, y, z', '-y, x, z+1/2', '-x, y, -z', 'y, x, -z+1/2'], ['x, y, z', '-y, x, z+1/2', '-x, y, -z', 'y, x, -z+1/2'], ['x, y, z', '-y, x, z+1/2', '-x, y, -z', 'y, x, -z+1/2'], ['x, y, z', '-y, x, z+1/2'], ['x, y, z', '-y, x, z+1/2'], ['x, y, z', '-y, x, z+1/2'], ['x, y, z', '-y, x, z+1/2'], ['x, y, z', '-y, x, z+1/2'], ['x, y, z', '-y, x, z+1/2']]\"\n132,\"[['x, y, z', '-x, -y, z', '-y, x, z+1/2', 'y, -x, z+1/2', '-x, y, -z+1/2', 'x, -y, -z+1/2', 'y, x, -z', '-y, -x, -z', '-x, -y, -z', 'x, y, -z', 'y, -x, -z+1/2', '-y, x, -z+1/2', 'x, -y, z+1/2', '-x, y, z+1/2', '-y, -x, z', 'y, x, z'], ['x, y, z', '-x, -y, z', '-y, x, z+1/2', 'y, -x, z+1/2', '-x, y, -z+1/2', 'x, -y, -z+1/2', 'y, x, -z', '-y, -x, -z'], ['x, y, z', '-x, -y, z', '-y, x, z+1/2', 'y, -x, z+1/2', '-x, y, -z+1/2', 'x, -y, -z+1/2', 'y, x, -z', '-y, -x, -z'], ['x, y, z', '-x, -y, z', '-y, x, z+1/2', 'y, -x, z+1/2', '-x, -y, -z', 'x, y, -z', 'y, -x, -z+1/2', '-y, x, -z+1/2'], ['x, y, z', '-x, -y, z', '-y, x, z+1/2', 'y, -x, z+1/2', '-x, -y, -z', 'x, y, -z', 'y, -x, -z+1/2', '-y, x, -z+1/2'], ['x, y, z', '-y, x, z+1/2', '-x, y, -z+1/2', 'y, x, -z', '-x, -y, -z', 'y, -x, -z+1/2', 'x, -y, z+1/2', '-y, -x, z'], ['x, y, z', '-x, -y, z', '-y, x, z+1/2', 'y, -x, z+1/2'], ['x, y, z', '-x, -y, z', '-y, x, z+1/2', 'y, -x, z+1/2'], ['x, y, z', '-y, x, z+1/2', '-x, y, -z+1/2', 'y, x, -z'], ['x, y, z', '-y, x, z+1/2', '-x, y, -z+1/2', 'y, x, -z'], ['x, y, z', '-y, x, z+1/2', '-x, y, -z+1/2', 'y, x, -z'], ['x, y, z', '-y, x, z+1/2', '-x, -y, -z', 'y, -x, -z+1/2'], ['x, y, z', '-y, x, z+1/2'], ['x, y, z', '-y, x, z+1/2'], ['x, y, z', '-y, x, z+1/2'], ['x, y, z', '-y, x, z+1/2']]\"\n133,\"[['x, y, z', '-x+1/2, -y+1/2, z', '-y+1/2, x, z+1/2', 'y, -x+1/2, z+1/2', '-x+1/2, y, -z', 'x, -y+1/2, -z', 'y, x, -z+1/2', '-y+1/2, -x+1/2, -z+1/2', '-x, -y, -z', 'x+1/2, y+1/2, -z', 'y+1/2, -x, -z+1/2', '-y, x+1/2, -z+1/2', 'x+1/2, -y, z', '-x, y+1/2, z', '-y, -x, z+1/2', 'y+1/2, x+1/2, z+1/2'], ['x, y, z', '-x+1/2, -y+1/2, z', '-y+1/2, x, z+1/2', 'y, -x+1/2, z+1/2', '-x, -y, -z', 'x+1/2, y+1/2, -z', 'y+1/2, -x, -z+1/2', '-y, x+1/2, -z+1/2'], ['x, y, z', '-x+1/2, -y+1/2, z', '-y+1/2, x, z+1/2', 'y, -x+1/2, z+1/2', '-x, -y, -z', 'x+1/2, y+1/2, -z', 'y+1/2, -x, -z+1/2', '-y, x+1/2, -z+1/2'], ['x, y, z', '-x+1/2, -y+1/2, z', '-y+1/2, x, z+1/2', 'y, -x+1/2, z+1/2', '-x, -y, -z', 'x+1/2, y+1/2, -z', 'y+1/2, -x, -z+1/2', '-y, x+1/2, -z+1/2'], ['x, y, z', '-y+1/2, x, z+1/2', '-x+1/2, y, -z', 'y, x, -z+1/2', '-x, -y, -z', 'y+1/2, -x, -z+1/2', 'x+1/2, -y, z', '-y, -x, z+1/2'], ['x, y, z', '-y+1/2, x, z+1/2', '-x+1/2, y, -z', 'y, x, -z+1/2', '-x, -y, -z', 'y+1/2, -x, -z+1/2', 'x+1/2, -y, z', '-y, -x, z+1/2'], ['x, y, z', '-x+1/2, -y+1/2, z', '-y+1/2, x, z+1/2', 'y, -x+1/2, z+1/2', '-x+1/2, y, -z', 'x, -y+1/2, -z', 'y, x, -z+1/2', '-y+1/2, -x+1/2, -z+1/2'], ['x, y, z', '-y+1/2, x, z+1/2', '-x+1/2, y, -z', 'y, x, -z+1/2'], ['x, y, z', '-y+1/2, x, z+1/2', '-x, -y, -z', 'y+1/2, -x, -z+1/2'], ['x, y, z', '-y+1/2, x, z+1/2', '-x, -y, -z', 'y+1/2, -x, -z+1/2'], ['x, y, z', '-y+1/2, x, z+1/2', '-x, -y, -z', 'y+1/2, -x, -z+1/2']]\"\n134,\"[['x, y, z', '-x+1/2, -y+1/2, z', '-y+1/2, x, z+1/2', 'y, -x+1/2, z+1/2', '-x+1/2, y, -z+1/2', 'x, -y+1/2, -z+1/2', 'y, x, -z', '-y+1/2, -x+1/2, -z', '-x, -y, -z', 'x+1/2, y+1/2, -z', 'y+1/2, -x, -z+1/2', '-y, x+1/2, -z+1/2', 'x+1/2, -y, z+1/2', '-x, y+1/2, z+1/2', '-y, -x, z', 'y+1/2, x+1/2, z'], ['x, y, z', '-x+1/2, -y+1/2, z', '-y+1/2, x, z+1/2', 'y, -x+1/2, z+1/2', '-x+1/2, y, -z+1/2', 'x, -y+1/2, -z+1/2', 'y, x, -z', '-y+1/2, -x+1/2, -z'], ['x, y, z', '-x+1/2, -y+1/2, z', '-y+1/2, x, z+1/2', 'y, -x+1/2, z+1/2', '-x, -y, -z', 'x+1/2, y+1/2, -z', 'y+1/2, -x, -z+1/2', '-y, x+1/2, -z+1/2'], ['x, y, z', '-x+1/2, -y+1/2, z', '-y+1/2, x, z+1/2', 'y, -x+1/2, z+1/2', '-x, -y, -z', 'x+1/2, y+1/2, -z', 'y+1/2, -x, -z+1/2', '-y, x+1/2, -z+1/2'], ['x, y, z', '-x+1/2, -y+1/2, z', '-y+1/2, x, z+1/2', 'y, -x+1/2, z+1/2', '-x, -y, -z', 'x+1/2, y+1/2, -z', 'y+1/2, -x, -z+1/2', '-y, x+1/2, -z+1/2'], ['x, y, z', '-x+1/2, -y+1/2, z', '-y+1/2, x, z+1/2', 'y, -x+1/2, z+1/2', '-x, -y, -z', 'x+1/2, y+1/2, -z', 'y+1/2, -x, -z+1/2', '-y, x+1/2, -z+1/2'], ['x, y, z', '-y+1/2, x, z+1/2', '-x+1/2, y, -z+1/2', 'y, x, -z', '-x, -y, -z', 'y+1/2, -x, -z+1/2', 'x+1/2, -y, z+1/2', '-y, -x, z'], ['x, y, z', '-y+1/2, x, z+1/2', '-x+1/2, y, -z+1/2', 'y, x, -z'], ['x, y, z', '-x+1/2, -y+1/2, z', '-y+1/2, x, z+1/2', 'y, -x+1/2, z+1/2'], ['x, y, z', '-x+1/2, -y+1/2, z', '-y+1/2, x, z+1/2', 'y, -x+1/2, z+1/2'], ['x, y, z', '-y+1/2, x, z+1/2', '-x, -y, -z', 'y+1/2, -x, -z+1/2'], ['x, y, z', '-y+1/2, x, z+1/2', '-x, -y, -z', 'y+1/2, -x, -z+1/2'], ['x, y, z', '-y+1/2, x, z+1/2'], ['x, y, z', '-y+1/2, x, z+1/2']]\"\n135,\"[['x, y, z', '-x, -y, z', '-y, x, z+1/2', 'y, -x, z+1/2', '-x+1/2, y+1/2, -z', 'x+1/2, -y+1/2, -z', 'y+1/2, x+1/2, -z+1/2', '-y+1/2, -x+1/2, -z+1/2', '-x, -y, -z', 'x, y, -z', 'y, -x, -z+1/2', '-y, x, -z+1/2', 'x+1/2, -y+1/2, z', '-x+1/2, y+1/2, z', '-y+1/2, -x+1/2, z+1/2', 'y+1/2, x+1/2, z+1/2'], ['x, y, z', '-x, -y, z', '-y, x, z+1/2', 'y, -x, z+1/2', '-x+1/2, y+1/2, -z', 'x+1/2, -y+1/2, -z', 'y+1/2, x+1/2, -z+1/2', '-y+1/2, -x+1/2, -z+1/2'], ['x, y, z', '-x, -y, z', '-y, x, z+1/2', 'y, -x, z+1/2', '-x, -y, -z', 'x, y, -z', 'y, -x, -z+1/2', '-y, x, -z+1/2'], ['x, y, z', '-y, x, z+1/2', '-x+1/2, y+1/2, -z', 'y+1/2, x+1/2, -z+1/2', '-x, -y, -z', 'y, -x, -z+1/2', 'x+1/2, -y+1/2, z', '-y+1/2, -x+1/2, z+1/2'], ['x, y, z', '-y, x, z+1/2', '-x+1/2, y+1/2, -z', 'y+1/2, x+1/2, -z+1/2', '-x, -y, -z', 'y, -x, -z+1/2', 'x+1/2, -y+1/2, z', '-y+1/2, -x+1/2, z+1/2'], ['x, y, z', '-y, x, z+1/2', '-x, -y, -z', 'y, -x, -z+1/2'], ['x, y, z', '-y, x, z+1/2', '-x+1/2, y+1/2, -z', 'y+1/2, x+1/2, -z+1/2'], ['x, y, z', '-y, x, z+1/2', '-x+1/2, y+1/2, -z', 'y+1/2, x+1/2, -z+1/2'], ['x, y, z', '-y, x, z+1/2', '-x+1/2, y+1/2, -z', 'y+1/2, x+1/2, -z+1/2']]\"\n136,\"[['x, y, z', '-x, -y, z', '-y+1/2, x+1/2, z+1/2', 'y+1/2, -x+1/2, z+1/2', '-x+1/2, y+1/2, -z+1/2', 'x+1/2, -y+1/2, -z+1/2', 'y, x, -z', '-y, -x, -z', '-x, -y, -z', 'x, y, -z', 'y+1/2, -x+1/2, -z+1/2', '-y+1/2, x+1/2, -z+1/2', 'x+1/2, -y+1/2, z+1/2', '-x+1/2, y+1/2, z+1/2', '-y, -x, z', 'y, x, z'], ['x, y, z', '-x, -y, z', '-y+1/2, x+1/2, z+1/2', 'y+1/2, -x+1/2, z+1/2', '-x+1/2, y+1/2, -z+1/2', 'x+1/2, -y+1/2, -z+1/2', 'y, x, -z', '-y, -x, -z'], ['x, y, z', '-x, -y, z', '-y+1/2, x+1/2, z+1/2', 'y+1/2, -x+1/2, z+1/2', '-x+1/2, y+1/2, -z+1/2', 'x+1/2, -y+1/2, -z+1/2', 'y, x, -z', '-y, -x, -z'], ['x, y, z', '-y+1/2, x+1/2, z+1/2', '-x+1/2, y+1/2, -z+1/2', 'y, x, -z', '-x, -y, -z', 'y+1/2, -x+1/2, -z+1/2', 'x+1/2, -y+1/2, z+1/2', '-y, -x, z'], ['x, y, z', '-x, -y, z', '-y+1/2, x+1/2, z+1/2', 'y+1/2, -x+1/2, z+1/2'], ['x, y, z', '-x, -y, z', '-y+1/2, x+1/2, z+1/2', 'y+1/2, -x+1/2, z+1/2'], ['x, y, z', '-y+1/2, x+1/2, z+1/2', '-x+1/2, y+1/2, -z+1/2', 'y, x, -z'], ['x, y, z', '-y+1/2, x+1/2, z+1/2', '-x+1/2, y+1/2, -z+1/2', 'y, x, -z'], ['x, y, z', '-y+1/2, x+1/2, z+1/2', '-x+1/2, y+1/2, -z+1/2', 'y, x, -z'], ['x, y, z', '-y+1/2, x+1/2, z+1/2'], ['x, y, z', '-y+1/2, x+1/2, z+1/2']]\"\n137,\"[['x, y, z', '-x+1/2, -y+1/2, z', '-y+1/2, x, z+1/2', 'y, -x+1/2, z+1/2', '-x, y+1/2, -z', 'x+1/2, -y, -z', 'y+1/2, x+1/2, -z+1/2', '-y, -x, -z+1/2', '-x, -y, -z', 'x+1/2, y+1/2, -z', 'y+1/2, -x, -z+1/2', '-y, x+1/2, -z+1/2', 'x, -y+1/2, z', '-x+1/2, y, z', '-y+1/2, -x+1/2, z+1/2', 'y, x, z+1/2'], ['x, y, z', '-x+1/2, -y+1/2, z', '-y+1/2, x, z+1/2', 'y, -x+1/2, z+1/2', '-x, y+1/2, -z', 'x+1/2, -y, -z', 'y+1/2, x+1/2, -z+1/2', '-y, -x, -z+1/2'], ['x, y, z', '-x+1/2, -y+1/2, z', '-y+1/2, x, z+1/2', 'y, -x+1/2, z+1/2', '-x, -y, -z', 'x+1/2, y+1/2, -z', 'y+1/2, -x, -z+1/2', '-y, x+1/2, -z+1/2'], ['x, y, z', '-x+1/2, -y+1/2, z', '-y+1/2, x, z+1/2', 'y, -x+1/2, z+1/2', '-x, y+1/2, -z', 'x+1/2, -y, -z', 'y+1/2, x+1/2, -z+1/2', '-y, -x, -z+1/2'], ['x, y, z', '-y+1/2, x, z+1/2', '-x, y+1/2, -z', 'y+1/2, x+1/2, -z+1/2'], ['x, y, z', '-y+1/2, x, z+1/2', '-x, y+1/2, -z', 'y+1/2, x+1/2, -z+1/2'], ['x, y, z', '-y+1/2, x, z+1/2'], ['x, y, z', '-y+1/2, x, z+1/2']]\"\n138,\"[['x, y, z', '-x+1/2, -y+1/2, z', '-y+1/2, x, z+1/2', 'y, -x+1/2, z+1/2', '-x, y+1/2, -z+1/2', 'x+1/2, -y, -z+1/2', 'y+1/2, x+1/2, -z', '-y, -x, -z', '-x, -y, -z', 'x+1/2, y+1/2, -z', 'y+1/2, -x, -z+1/2', '-y, x+1/2, -z+1/2', 'x, -y+1/2, z+1/2', '-x+1/2, y, z+1/2', '-y+1/2, -x+1/2, z', 'y, x, z'], ['x, y, z', '-x+1/2, -y+1/2, z', '-y+1/2, x, z+1/2', 'y, -x+1/2, z+1/2', '-x, y+1/2, -z+1/2', 'x+1/2, -y, -z+1/2', 'y+1/2, x+1/2, -z', '-y, -x, -z'], ['x, y, z', '-x+1/2, -y+1/2, z', '-y+1/2, x, z+1/2', 'y, -x+1/2, z+1/2', '-x, -y, -z', 'x+1/2, y+1/2, -z', 'y+1/2, -x, -z+1/2', '-y, x+1/2, -z+1/2'], ['x, y, z', '-x+1/2, -y+1/2, z', '-y+1/2, x, z+1/2', 'y, -x+1/2, z+1/2', '-x, -y, -z', 'x+1/2, y+1/2, -z', 'y+1/2, -x, -z+1/2', '-y, x+1/2, -z+1/2'], ['x, y, z', '-y+1/2, x, z+1/2', '-x, y+1/2, -z+1/2', 'y+1/2, x+1/2, -z', '-x, -y, -z', 'y+1/2, -x, -z+1/2', 'x, -y+1/2, z+1/2', '-y+1/2, -x+1/2, z'], ['x, y, z', '-y+1/2, x, z+1/2', '-x, y+1/2, -z+1/2', 'y+1/2, x+1/2, -z'], ['x, y, z', '-x+1/2, -y+1/2, z', '-y+1/2, x, z+1/2', 'y, -x+1/2, z+1/2'], ['x, y, z', '-x+1/2, -y+1/2, z', '-y+1/2, x, z+1/2', 'y, -x+1/2, z+1/2'], ['x, y, z', '-y+1/2, x, z+1/2', '-x, y+1/2, -z+1/2', 'y+1/2, x+1/2, -z'], ['x, y, z', '-y+1/2, x, z+1/2', '-x, -y, -z', 'y+1/2, -x, -z+1/2']]\"\n139,\"[['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z', '-x, y, -z', 'x, -y, -z', 'y, x, -z', '-y, -x, -z', '-x, -y, -z', 'x, y, -z', 'y, -x, -z', '-y, x, -z', 'x, -y, z', '-x, y, z', '-y, -x, z', 'y, x, z', 'x+1/2, y+1/2, z+1/2', '-x+1/2, -y+1/2, z+1/2', '-y+1/2, x+1/2, z+1/2', 'y+1/2, -x+1/2, z+1/2', '-x+1/2, y+1/2, -z+1/2', 'x+1/2, -y+1/2, -z+1/2', 'y+1/2, x+1/2, -z+1/2', '-y+1/2, -x+1/2, -z+1/2', '-x+1/2, -y+1/2, -z+1/2', 'x+1/2, y+1/2, -z+1/2', 'y+1/2, -x+1/2, -z+1/2', '-y+1/2, x+1/2, -z+1/2', 'x+1/2, -y+1/2, z+1/2', '-x+1/2, y+1/2, z+1/2', '-y+1/2, -x+1/2, z+1/2', 'y+1/2, x+1/2, z+1/2'], ['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z', '-x, y, -z', 'x, -y, -z', 'y, x, -z', '-y, -x, -z', 'x+1/2, y+1/2, z+1/2', '-x+1/2, -y+1/2, z+1/2', '-y+1/2, x+1/2, z+1/2', 'y+1/2, -x+1/2, z+1/2', '-x+1/2, y+1/2, -z+1/2', 'x+1/2, -y+1/2, -z+1/2', 'y+1/2, x+1/2, -z+1/2', '-y+1/2, -x+1/2, -z+1/2'], ['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z', '-x, y, -z', 'x, -y, -z', 'y, x, -z', '-y, -x, -z', 'x+1/2, y+1/2, z+1/2', '-x+1/2, -y+1/2, z+1/2', '-y+1/2, x+1/2, z+1/2', 'y+1/2, -x+1/2, z+1/2', '-x+1/2, y+1/2, -z+1/2', 'x+1/2, -y+1/2, -z+1/2', 'y+1/2, x+1/2, -z+1/2', '-y+1/2, -x+1/2, -z+1/2'], ['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z', '-x, y, -z', 'x, -y, -z', 'y, x, -z', '-y, -x, -z', 'x+1/2, y+1/2, z+1/2', '-x+1/2, -y+1/2, z+1/2', '-y+1/2, x+1/2, z+1/2', 'y+1/2, -x+1/2, z+1/2', '-x+1/2, y+1/2, -z+1/2', 'x+1/2, -y+1/2, -z+1/2', 'y+1/2, x+1/2, -z+1/2', '-y+1/2, -x+1/2, -z+1/2'], ['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z', '-x, y, -z', 'x, -y, -z', 'y, x, -z', '-y, -x, -z', '-x, -y, -z', 'x, y, -z', 'y, -x, -z', '-y, x, -z', 'x, -y, z', '-x, y, z', '-y, -x, z', 'y, x, z'], ['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z', 'x+1/2, y+1/2, z+1/2', '-x+1/2, -y+1/2, z+1/2', '-y+1/2, x+1/2, z+1/2', 'y+1/2, -x+1/2, z+1/2'], ['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z', 'x+1/2, y+1/2, z+1/2', '-x+1/2, -y+1/2, z+1/2', '-y+1/2, x+1/2, z+1/2', 'y+1/2, -x+1/2, z+1/2'], ['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z', 'x+1/2, y+1/2, z+1/2', '-x+1/2, -y+1/2, z+1/2', '-y+1/2, x+1/2, z+1/2', 'y+1/2, -x+1/2, z+1/2'], ['x, y, z', '-y, x, z', '-x, y, -z', 'y, x, -z', 'x+1/2, y+1/2, z+1/2', '-y+1/2, x+1/2, z+1/2', '-x+1/2, y+1/2, -z+1/2', 'y+1/2, x+1/2, -z+1/2'], ['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z', '-x, y, -z', 'x, -y, -z', 'y, x, -z', '-y, -x, -z'], ['x, y, z', '-x, y, -z', 'x+1/2, y+1/2, z+1/2', '-x+1/2, y+1/2, -z+1/2'], ['x, y, z', '-y, x, z', '-x, y, -z', 'y, x, -z'], ['x, y, z', '-y, x, z', 'x+1/2, y+1/2, z+1/2', '-y+1/2, x+1/2, z+1/2'], ['x, y, z', 'x+1/2, y+1/2, z+1/2'], ['x, y, z', 'x+1/2, y+1/2, z+1/2']]\"\n140,\"[['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z', '-x, y, -z+1/2', 'x, -y, -z+1/2', 'y, x, -z+1/2', '-y, -x, -z+1/2', '-x, -y, -z', 'x, y, -z', 'y, -x, -z', '-y, x, -z', 'x, -y, z+1/2', '-x, y, z+1/2', '-y, -x, z+1/2', 'y, x, z+1/2', 'x+1/2, y+1/2, z+1/2', '-x+1/2, -y+1/2, z+1/2', '-y+1/2, x+1/2, z+1/2', 'y+1/2, -x+1/2, z+1/2', '-x+1/2, y+1/2, -z+1', 'x+1/2, -y+1/2, -z+1', 'y+1/2, x+1/2, -z+1', '-y+1/2, -x+1/2, -z+1', '-x+1/2, -y+1/2, -z+1/2', 'x+1/2, y+1/2, -z+1/2', 'y+1/2, -x+1/2, -z+1/2', '-y+1/2, x+1/2, -z+1/2', 'x+1/2, -y+1/2, z+1', '-x+1/2, y+1/2, z+1', '-y+1/2, -x+1/2, z+1', 'y+1/2, x+1/2, z+1'], ['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z', '-x, y, -z+1/2', 'x, -y, -z+1/2', 'y, x, -z+1/2', '-y, -x, -z+1/2', '-x, -y, -z', 'x, y, -z', 'y, -x, -z', '-y, x, -z', 'x, -y, z+1/2', '-x, y, z+1/2', '-y, -x, z+1/2', 'y, x, z+1/2'], ['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z', '-x, y, -z+1/2', 'x, -y, -z+1/2', 'y, x, -z+1/2', '-y, -x, -z+1/2', 'x+1/2, y+1/2, z+1/2', '-x+1/2, -y+1/2, z+1/2', '-y+1/2, x+1/2, z+1/2', 'y+1/2, -x+1/2, z+1/2', '-x+1/2, y+1/2, -z+1', 'x+1/2, -y+1/2, -z+1', 'y+1/2, x+1/2, -z+1', '-y+1/2, -x+1/2, -z+1'], ['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z', '-x, -y, -z', 'x, y, -z', 'y, -x, -z', '-y, x, -z', 'x+1/2, y+1/2, z+1/2', '-x+1/2, -y+1/2, z+1/2', '-y+1/2, x+1/2, z+1/2', 'y+1/2, -x+1/2, z+1/2', '-x+1/2, -y+1/2, -z+1/2', 'x+1/2, y+1/2, -z+1/2', 'y+1/2, -x+1/2, -z+1/2', '-y+1/2, x+1/2, -z+1/2'], ['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z', '-x, -y, -z', 'x, y, -z', 'y, -x, -z', '-y, x, -z', 'x+1/2, y+1/2, z+1/2', '-x+1/2, -y+1/2, z+1/2', '-y+1/2, x+1/2, z+1/2', 'y+1/2, -x+1/2, z+1/2', '-x+1/2, -y+1/2, -z+1/2', 'x+1/2, y+1/2, -z+1/2', 'y+1/2, -x+1/2, -z+1/2', '-y+1/2, x+1/2, -z+1/2'], ['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z', '-x, y, -z+1/2', 'x, -y, -z+1/2', 'y, x, -z+1/2', '-y, -x, -z+1/2'], ['x, y, z', '-y, x, z', '-x, y, -z+1/2', 'y, x, -z+1/2', '-x, -y, -z', 'y, -x, -z', 'x, -y, z+1/2', '-y, -x, z+1/2'], ['x, y, z', '-x, y, -z+1/2', '-x, -y, -z', 'x, -y, z+1/2', 'x+1/2, y+1/2, z+1/2', '-x+1/2, y+1/2, -z+1', '-x+1/2, -y+1/2, -z+1/2', 'x+1/2, -y+1/2, z+1'], ['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z', '-x, -y, -z', 'x, y, -z', 'y, -x, -z', '-y, x, -z'], ['x, y, z', '-y, x, z', '-x, y, -z+1/2', 'y, x, -z+1/2'], ['x, y, z', '-x, y, -z+1/2', 'x+1/2, y+1/2, z+1/2', '-x+1/2, y+1/2, -z+1'], ['x, y, z', '-y, x, z', '-x, -y, -z', 'y, -x, -z'], ['x, y, z', '-x, -y, -z', 'x+1/2, y+1/2, z+1/2', '-x+1/2, -y+1/2, -z+1/2']]\"\n141,\"[['x, y, z', '-x+1/2, -y, z+1/2', '-y+1/4, x+3/4, z+1/4', 'y+1/4, -x+1/4, z+3/4', '-x+1/2, y, -z+1/2', 'x, -y, -z', 'y+1/4, x+3/4, -z+1/4', '-y+1/4, -x+1/4, -z+3/4', '-x, -y, -z', 'x+1/2, y, -z+1/2', 'y+3/4, -x+1/4, -z+3/4', '-y+3/4, x+3/4, -z+1/4', 'x+1/2, -y, z+1/2', '-x, y, z', '-y+3/4, -x+1/4, z+3/4', 'y+3/4, x+3/4, z+1/4', 'x+1/2, y+1/2, z+1/2', '-x+1, -y+1/2, z+1', '-y+3/4, x+5/4, z+3/4', 'y+3/4, -x+3/4, z+5/4', '-x+1, y+1/2, -z+1', 'x+1/2, -y+1/2, -z+1/2', 'y+3/4, x+5/4, -z+3/4', '-y+3/4, -x+3/4, -z+5/4', '-x+1/2, -y+1/2, -z+1/2', 'x+1, y+1/2, -z+1', 'y+5/4, -x+3/4, -z+5/4', '-y+5/4, x+5/4, -z+3/4', 'x+1, -y+1/2, z+1', '-x+1/2, y+1/2, z+1/2', '-y+5/4, -x+3/4, z+5/4', 'y+5/4, x+5/4, z+3/4'], ['x, y, z', '-x+1/2, -y, z+1/2', '-y+1/4, x+3/4, z+1/4', 'y+1/4, -x+1/4, z+3/4', '-x+1/2, y, -z+1/2', 'x, -y, -z', 'y+1/4, x+3/4, -z+1/4', '-y+1/4, -x+1/4, -z+3/4', 'y+3/4, -x+1/4, -z+3/4', '-y+3/4, x+3/4, -z+1/4', '-y+3/4, -x+1/4, z+3/4', 'y+3/4, x+3/4, z+1/4', 'x+1/2, y+1/2, z+1/2', '-x+1, -y+1/2, z+1', '-x+1, y+1/2, -z+1', 'x+1/2, -y+1/2, -z+1/2'], ['x, y, z', '-x+1/2, -y, z+1/2', '-y+1/4, x+3/4, z+1/4', 'y+1/4, -x+1/4, z+3/4', '-x+1/2, y, -z+1/2', 'x, -y, -z', 'y+1/4, x+3/4, -z+1/4', '-y+1/4, -x+1/4, -z+3/4', '-x, -y, -z', 'x+1/2, y, -z+1/2', 'y+3/4, -x+1/4, -z+3/4', '-y+3/4, x+3/4, -z+1/4', 'x+1/2, -y, z+1/2', '-x, y, z', '-y+3/4, -x+1/4, z+3/4', 'y+3/4, x+3/4, z+1/4'], ['x, y, z', '-x+1/2, -y, z+1/2', '-y+1/4, x+3/4, z+1/4', 'y+1/4, -x+1/4, z+3/4', '-x, -y, -z', 'x+1/2, y, -z+1/2', 'y+3/4, -x+1/4, -z+3/4', '-y+3/4, x+3/4, -z+1/4', 'x+1/2, y+1/2, z+1/2', '-x+1, -y+1/2, z+1', '-y+3/4, x+5/4, z+3/4', 'y+3/4, -x+3/4, z+5/4', '-x+1/2, -y+1/2, -z+1/2', 'x+1, y+1/2, -z+1', 'y+5/4, -x+3/4, -z+5/4', '-y+5/4, x+5/4, -z+3/4'], ['x, y, z', '-x+1/2, -y, z+1/2', '-y+1/4, x+3/4, z+1/4', 'y+1/4, -x+1/4, z+3/4', '-x+1/2, y, -z+1/2', 'x, -y, -z', 'y+1/4, x+3/4, -z+1/4', '-y+1/4, -x+1/4, -z+3/4'], ['x, y, z', '-x+1/2, -y, z+1/2', '-y+1/4, x+3/4, z+1/4', 'y+1/4, -x+1/4, z+3/4', 'y+3/4, -x+1/4, -z+3/4', '-y+3/4, x+3/4, -z+1/4', 'x+1/2, y+1/2, z+1/2', '-x+1, -y+1/2, z+1'], ['x, y, z', '-x+1/2, -y, z+1/2', '-y+1/4, x+3/4, z+1/4', 'y+1/4, -x+1/4, z+3/4', 'y+3/4, -x+1/4, -z+3/4', '-y+3/4, x+3/4, -z+1/4', 'x+1/2, y+1/2, z+1/2', '-x+1, -y+1/2, z+1'], ['x, y, z', '-x+1/2, -y, z+1/2', '-y+1/4, x+3/4, z+1/4', 'y+1/4, -x+1/4, z+3/4'], ['x, y, z', '-x+1/2, -y, z+1/2', '-y+1/4, x+3/4, z+1/4', 'y+1/4, -x+1/4, z+3/4']]\"\n142,\"[['x, y, z', '-x+1/2, -y, z+1/2', '-y+1/4, x+3/4, z+1/4', 'y+1/4, -x+1/4, z+3/4', '-x+1/2, y, -z', 'x, -y, -z+1/2', 'y+1/4, x+3/4, -z+3/4', '-y+1/4, -x+1/4, -z+1/4', '-x, -y, -z', 'x+1/2, y, -z+1/2', 'y+3/4, -x+1/4, -z+3/4', '-y+3/4, x+3/4, -z+1/4', 'x+1/2, -y, z', '-x, y, z+1/2', '-y+3/4, -x+1/4, z+1/4', 'y+3/4, x+3/4, z+3/4', 'x+1/2, y+1/2, z+1/2', '-x+1, -y+1/2, z+1', '-y+3/4, x+5/4, z+3/4', 'y+3/4, -x+3/4, z+5/4', '-x+1, y+1/2, -z+1/2', 'x+1/2, -y+1/2, -z+1', 'y+3/4, x+5/4, -z+5/4', '-y+3/4, -x+3/4, -z+3/4', '-x+1/2, -y+1/2, -z+1/2', 'x+1, y+1/2, -z+1', 'y+5/4, -x+3/4, -z+5/4', '-y+5/4, x+5/4, -z+3/4', 'x+1, -y+1/2, z+1/2', '-x+1/2, y+1/2, z+1', '-y+5/4, -x+3/4, z+3/4', 'y+5/4, x+5/4, z+5/4'], ['x, y, z', '-x+1/2, -y, z+1/2', '-y+1/4, x+3/4, z+1/4', 'y+1/4, -x+1/4, z+3/4', '-x+1/2, y, -z', 'x, -y, -z+1/2', 'y+1/4, x+3/4, -z+3/4', '-y+1/4, -x+1/4, -z+1/4', '-x, -y, -z', 'x+1/2, y, -z+1/2', 'y+3/4, -x+1/4, -z+3/4', '-y+3/4, x+3/4, -z+1/4', 'x+1/2, -y, z', '-x, y, z+1/2', '-y+3/4, -x+1/4, z+1/4', 'y+3/4, x+3/4, z+3/4'], ['x, y, z', '-x+1/2, -y, z+1/2', '-y+1/4, x+3/4, z+1/4', 'y+1/4, -x+1/4, z+3/4', '-x, -y, -z', 'x+1/2, y, -z+1/2', 'y+3/4, -x+1/4, -z+3/4', '-y+3/4, x+3/4, -z+1/4', 'x+1/2, y+1/2, z+1/2', '-x+1, -y+1/2, z+1', '-y+3/4, x+5/4, z+3/4', 'y+3/4, -x+3/4, z+5/4', '-x+1/2, -y+1/2, -z+1/2', 'x+1, y+1/2, -z+1', 'y+5/4, -x+3/4, -z+5/4', '-y+5/4, x+5/4, -z+3/4'], ['x, y, z', '-x+1/2, -y, z+1/2', '-y+1/4, x+3/4, z+1/4', 'y+1/4, -x+1/4, z+3/4', '-x+1/2, y, -z', 'x, -y, -z+1/2', 'y+1/4, x+3/4, -z+3/4', '-y+1/4, -x+1/4, -z+1/4', '-x, -y, -z', 'x+1/2, y, -z+1/2', 'y+3/4, -x+1/4, -z+3/4', '-y+3/4, x+3/4, -z+1/4', 'x+1/2, -y, z', '-x, y, z+1/2', '-y+3/4, -x+1/4, z+1/4', 'y+3/4, x+3/4, z+3/4'], ['x, y, z', '-x+1/2, -y, z+1/2', '-y+1/4, x+3/4, z+1/4', 'y+1/4, -x+1/4, z+3/4', '-x+1/2, y, -z', 'x, -y, -z+1/2', 'y+1/4, x+3/4, -z+3/4', '-y+1/4, -x+1/4, -z+1/4', 'y+3/4, -x+1/4, -z+3/4', '-y+3/4, x+3/4, -z+1/4', '-y+3/4, -x+1/4, z+1/4', 'y+3/4, x+3/4, z+3/4', 'x+1/2, y+1/2, z+1/2', '-x+1, -y+1/2, z+1', '-x+1, y+1/2, -z+1/2', 'x+1/2, -y+1/2, -z+1'], ['x, y, z', '-x+1/2, -y, z+1/2', '-y+1/4, x+3/4, z+1/4', 'y+1/4, -x+1/4, z+3/4', '-x, -y, -z', 'x+1/2, y, -z+1/2', 'y+3/4, -x+1/4, -z+3/4', '-y+3/4, x+3/4, -z+1/4'], ['x, y, z', '-x+1/2, -y, z+1/2', '-y+1/4, x+3/4, z+1/4', 'y+1/4, -x+1/4, z+3/4', '-x+1/2, y, -z', 'x, -y, -z+1/2', 'y+1/4, x+3/4, -z+3/4', '-y+1/4, -x+1/4, -z+1/4']]\"\n143,\"[['x, y, z', '-y, x-y, z', '-x+y, -x, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']]\"\n144,\"[['x, y, z', '-y, x-y, z+1/3', '-x+y, -x, z+2/3']]\"\n145,\"[['x, y, z', '-y, x-y, z+2/3', '-x+y, -x, z+1/3']]\"\n146,\"[['x, y, z', '-y, x-y, z', '-x+y, -x, z', 'x+2/3, y+1/3, z+1/3', '-y+2/3, x-y+1/3, z+1/3', '-x+y+2/3, -x+1/3, z+1/3', 'x+1/3, y+2/3, z+2/3', '-y+1/3, x-y+2/3, z+2/3', '-x+y+1/3, -x+2/3, z+2/3'], ['x, y, z', 'x+2/3, y+1/3, z+1/3', 'x+1/3, y+2/3, z+2/3']]\"\n147,\"[['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, -z', 'y, -x+y, -z', 'x-y, x, -z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z'], ['x, y, z', '-x, -y, -z'], ['x, y, z', '-x, -y, -z'], ['x, y, z'], ['x, y, z']]\"\n148,\"[['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, -z', 'y, -x+y, -z', 'x-y, x, -z', 'x+2/3, y+1/3, z+1/3', '-y+2/3, x-y+1/3, z+1/3', '-x+y+2/3, -x+1/3, z+1/3', '-x+2/3, -y+1/3, -z+1/3', 'y+2/3, -x+y+1/3, -z+1/3', 'x-y+2/3, x+1/3, -z+1/3', 'x+1/3, y+2/3, z+2/3', '-y+1/3, x-y+2/3, z+2/3', '-x+y+1/3, -x+2/3, z+2/3', '-x+1/3, -y+2/3, -z+2/3', 'y+1/3, -x+y+2/3, -z+2/3', 'x-y+1/3, x+2/3, -z+2/3'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', 'x+2/3, y+1/3, z+1/3', '-y+2/3, x-y+1/3, z+1/3', '-x+y+2/3, -x+1/3, z+1/3', 'x+1/3, y+2/3, z+2/3', '-y+1/3, x-y+2/3, z+2/3', '-x+y+1/3, -x+2/3, z+2/3'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', 'x+2/3, y+1/3, z+1/3', '-y+2/3, x-y+1/3, z+1/3', '-x+y+2/3, -x+1/3, z+1/3', 'x+1/3, y+2/3, z+2/3', '-y+1/3, x-y+2/3, z+2/3', '-x+y+1/3, -x+2/3, z+2/3'], ['x, y, z', '-x, -y, -z', 'x+2/3, y+1/3, z+1/3', '-x+2/3, -y+1/3, -z+1/3', 'x+1/3, y+2/3, z+2/3', '-x+1/3, -y+2/3, -z+2/3'], ['x, y, z', 'x+2/3, y+1/3, z+1/3', 'x+1/3, y+2/3, z+2/3'], ['x, y, z', 'x+2/3, y+1/3, z+1/3', 'x+1/3, y+2/3, z+2/3']]\"\n149,\"[['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-y, -x, -z', '-x+y, y, -z', 'x, x-y, -z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z'], ['x, y, z', '-y, -x, -z'], ['x, y, z', '-y, -x, -z'], ['x, y, z', '-y, -x, -z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']]\"\n150,\"[['x, y, z', '-y, x-y, z', '-x+y, -x, z', 'y, x, -z', 'x-y, -y, -z', '-x, -x+y, -z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z'], ['x, y, z', 'y, x, -z'], ['x, y, z', 'y, x, -z'], ['x, y, z'], ['x, y, z']]\"\n151,\"[['x, y, z', '-y, x-y, z+1/3', '-x+y, -x, z+2/3', '-y, -x, -z+2/3', '-x+y, y, -z+1/3', 'x, x-y, -z'], ['x, y, z', '-y, x-y, z+1/3', '-x+y, -x, z+2/3'], ['x, y, z', '-y, x-y, z+1/3', '-x+y, -x, z+2/3']]\"\n152,\"[['x, y, z', '-y, x-y, z+1/3', '-x+y, -x, z+2/3', 'y, x, -z', 'x-y, -y, -z+2/3', '-x, -x+y, -z+1/3'], ['x, y, z', '-y, x-y, z+1/3', '-x+y, -x, z+2/3'], ['x, y, z', '-y, x-y, z+1/3', '-x+y, -x, z+2/3']]\"\n153,\"[['x, y, z', '-y, x-y, z+2/3', '-x+y, -x, z+1/3', '-y, -x, -z+1/3', '-x+y, y, -z+2/3', 'x, x-y, -z'], ['x, y, z', '-y, x-y, z+2/3', '-x+y, -x, z+1/3'], ['x, y, z', '-y, x-y, z+2/3', '-x+y, -x, z+1/3']]\"\n154,\"[['x, y, z', '-y, x-y, z+2/3', '-x+y, -x, z+1/3', 'y, x, -z', 'x-y, -y, -z+1/3', '-x, -x+y, -z+2/3'], ['x, y, z', '-y, x-y, z+2/3', '-x+y, -x, z+1/3'], ['x, y, z', '-y, x-y, z+2/3', '-x+y, -x, z+1/3']]\"\n155,\"[['x, y, z', '-y, x-y, z', '-x+y, -x, z', 'y, x, -z', 'x-y, -y, -z', '-x, -x+y, -z', 'x+2/3, y+1/3, z+1/3', '-y+2/3, x-y+1/3, z+1/3', '-x+y+2/3, -x+1/3, z+1/3', 'y+2/3, x+1/3, -z+1/3', 'x-y+2/3, -y+1/3, -z+1/3', '-x+2/3, -x+y+1/3, -z+1/3', 'x+1/3, y+2/3, z+2/3', '-y+1/3, x-y+2/3, z+2/3', '-x+y+1/3, -x+2/3, z+2/3', 'y+1/3, x+2/3, -z+2/3', 'x-y+1/3, -y+2/3, -z+2/3', '-x+1/3, -x+y+2/3, -z+2/3'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', 'x+2/3, y+1/3, z+1/3', '-y+2/3, x-y+1/3, z+1/3', '-x+y+2/3, -x+1/3, z+1/3', 'x+1/3, y+2/3, z+2/3', '-y+1/3, x-y+2/3, z+2/3', '-x+y+1/3, -x+2/3, z+2/3'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', 'x+2/3, y+1/3, z+1/3', '-y+2/3, x-y+1/3, z+1/3', '-x+y+2/3, -x+1/3, z+1/3', 'x+1/3, y+2/3, z+2/3', '-y+1/3, x-y+2/3, z+2/3', '-x+y+1/3, -x+2/3, z+2/3'], ['x, y, z', 'y, x, -z', 'x+2/3, y+1/3, z+1/3', 'y+2/3, x+1/3, -z+1/3', 'x+1/3, y+2/3, z+2/3', 'y+1/3, x+2/3, -z+2/3'], ['x, y, z', 'x+2/3, y+1/3, z+1/3', 'x+1/3, y+2/3, z+2/3'], ['x, y, z', 'x+2/3, y+1/3, z+1/3', 'x+1/3, y+2/3, z+2/3']]\"\n156,\"[['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-y, -x, z', '-x+y, y, z', 'x, x-y, z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']]\"\n157,\"[['x, y, z', '-y, x-y, z', '-x+y, -x, z', 'y, x, z', 'x-y, -y, z', '-x, -x+y, z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z'], ['x, y, z', 'y, x, z'], ['x, y, z']]\"\n158,\"[['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-y, -x, z+1/2', '-x+y, y, z+1/2', 'x, x-y, z+1/2'], ['x, y, z', '-y, -x, z+1/2'], ['x, y, z', '-y, -x, z+1/2'], ['x, y, z', '-y, -x, z+1/2']]\"\n159,\"[['x, y, z', '-y, x-y, z', '-x+y, -x, z', 'y, x, z+1/2', 'x-y, -y, z+1/2', '-x, -x+y, z+1/2'], ['x, y, z', 'y, x, z+1/2'], ['x, y, z', 'y, x, z+1/2']]\"\n160,\"[['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-y, -x, z', '-x+y, y, z', 'x, x-y, z', 'x+2/3, y+1/3, z+1/3', '-y+2/3, x-y+1/3, z+1/3', '-x+y+2/3, -x+1/3, z+1/3', '-y+2/3, -x+1/3, z+1/3', '-x+y+2/3, y+1/3, z+1/3', 'x+2/3, x-y+1/3, z+1/3', 'x+1/3, y+2/3, z+2/3', '-y+1/3, x-y+2/3, z+2/3', '-x+y+1/3, -x+2/3, z+2/3', '-y+1/3, -x+2/3, z+2/3', '-x+y+1/3, y+2/3, z+2/3', 'x+1/3, x-y+2/3, z+2/3'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', 'x+2/3, y+1/3, z+1/3', '-y+2/3, x-y+1/3, z+1/3', '-x+y+2/3, -x+1/3, z+1/3', 'x+1/3, y+2/3, z+2/3', '-y+1/3, x-y+2/3, z+2/3', '-x+y+1/3, -x+2/3, z+2/3'], ['x, y, z', 'x+2/3, y+1/3, z+1/3', 'x+1/3, y+2/3, z+2/3']]\"\n161,\"[['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-y, -x, z+1/2', '-x+y, y, z+1/2', 'x, x-y, z+1/2', 'x+2/3, y+1/3, z+1/3', '-y+2/3, x-y+1/3, z+1/3', '-x+y+2/3, -x+1/3, z+1/3', '-y+2/3, -x+1/3, z+5/6', '-x+y+2/3, y+1/3, z+5/6', 'x+2/3, x-y+1/3, z+5/6', 'x+1/3, y+2/3, z+2/3', '-y+1/3, x-y+2/3, z+2/3', '-x+y+1/3, -x+2/3, z+2/3', '-y+1/3, -x+2/3, z+7/6', '-x+y+1/3, y+2/3, z+7/6', 'x+1/3, x-y+2/3, z+7/6'], ['x, y, z', '-y, -x, z+1/2', 'x+2/3, y+1/3, z+1/3', '-y+2/3, -x+1/3, z+5/6', 'x+1/3, y+2/3, z+2/3', '-y+1/3, -x+2/3, z+7/6']]\"\n162,\"[['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-y, -x, -z', '-x+y, y, -z', 'x, x-y, -z', '-x, -y, -z', 'y, -x+y, -z', 'x-y, x, -z', 'y, x, z', 'x-y, -y, z', '-x, -x+y, z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-y, -x, -z', '-x+y, y, -z', 'x, x-y, -z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, -z', 'y, -x+y, -z', 'x-y, x, -z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, -z', 'y, -x+y, -z', 'x-y, x, -z'], ['x, y, z', '-y, -x, -z', '-x, -y, -z', 'y, x, z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z'], ['x, y, z', '-y, -x, -z'], ['x, y, z', '-x, -y, -z'], ['x, y, z', '-x, -y, -z'], ['x, y, z'], ['x, y, z']]\"\n163,\"[['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-y, -x, -z+1/2', '-x+y, y, -z+1/2', 'x, x-y, -z+1/2', '-x, -y, -z', 'y, -x+y, -z', 'x-y, x, -z', 'y, x, z+1/2', 'x-y, -y, z+1/2', '-x, -x+y, z+1/2'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, -z', 'y, -x+y, -z', 'x-y, x, -z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-y, -x, -z+1/2', '-x+y, y, -z+1/2', 'x, x-y, -z+1/2'], ['x, y, z', '-y, -x, -z+1/2', '-x, -y, -z', 'y, x, z+1/2'], ['x, y, z', '-y, -x, -z+1/2', '-x, -y, -z', 'y, x, z+1/2'], ['x, y, z', '-x, -y, -z'], ['x, y, z', '-x, -y, -z'], ['x, y, z', '-y, -x, -z+1/2'], ['x, y, z', '-x, -y, -z']]\"\n164,\"[['x, y, z', '-y, x-y, z', '-x+y, -x, z', 'y, x, -z', 'x-y, -y, -z', '-x, -x+y, -z', '-x, -y, -z', 'y, -x+y, -z', 'x-y, x, -z', '-y, -x, z', '-x+y, y, z', 'x, x-y, z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', 'y, x, -z', 'x-y, -y, -z', '-x, -x+y, -z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, -z', 'y, -x+y, -z', 'x-y, x, -z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, -z', 'y, -x+y, -z', 'x-y, x, -z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z'], ['x, y, z', 'y, x, -z'], ['x, y, z', 'y, x, -z'], ['x, y, z'], ['x, y, z']]\"\n165,\"[['x, y, z', '-y, x-y, z', '-x+y, -x, z', 'y, x, -z+1/2', 'x-y, -y, -z+1/2', '-x, -x+y, -z+1/2', '-x, -y, -z', 'y, -x+y, -z', 'x-y, x, -z', '-y, -x, z+1/2', '-x+y, y, z+1/2', 'x, x-y, z+1/2'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, -z', 'y, -x+y, -z', 'x-y, x, -z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', 'y, x, -z+1/2', 'x-y, -y, -z+1/2', '-x, -x+y, -z+1/2'], ['x, y, z', 'y, x, -z+1/2', '-x, -y, -z', '-y, -x, z+1/2'], ['x, y, z', 'y, x, -z+1/2', '-x, -y, -z', '-y, -x, z+1/2'], ['x, y, z', 'y, x, -z+1/2'], ['x, y, z', '-x, -y, -z']]\"\n166,\"[['x, y, z', '-y, x-y, z', '-x+y, -x, z', 'y, x, -z', 'x-y, -y, -z', '-x, -x+y, -z', '-x, -y, -z', 'y, -x+y, -z', 'x-y, x, -z', '-y, -x, z', '-x+y, y, z', 'x, x-y, z', 'x+2/3, y+1/3, z+1/3', '-y+2/3, x-y+1/3, z+1/3', '-x+y+2/3, -x+1/3, z+1/3', 'y+2/3, x+1/3, -z+1/3', 'x-y+2/3, -y+1/3, -z+1/3', '-x+2/3, -x+y+1/3, -z+1/3', '-x+2/3, -y+1/3, -z+1/3', 'y+2/3, -x+y+1/3, -z+1/3', 'x-y+2/3, x+1/3, -z+1/3', '-y+2/3, -x+1/3, z+1/3', '-x+y+2/3, y+1/3, z+1/3', 'x+2/3, x-y+1/3, z+1/3', 'x+1/3, y+2/3, z+2/3', '-y+1/3, x-y+2/3, z+2/3', '-x+y+1/3, -x+2/3, z+2/3', 'y+1/3, x+2/3, -z+2/3', 'x-y+1/3, -y+2/3, -z+2/3', '-x+1/3, -x+y+2/3, -z+2/3', '-x+1/3, -y+2/3, -z+2/3', 'y+1/3, -x+y+2/3, -z+2/3', 'x-y+1/3, x+2/3, -z+2/3', '-y+1/3, -x+2/3, z+2/3', '-x+y+1/3, y+2/3, z+2/3', 'x+1/3, x-y+2/3, z+2/3'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', 'y, x, -z', 'x-y, -y, -z', '-x, -x+y, -z', 'x+2/3, y+1/3, z+1/3', '-y+2/3, x-y+1/3, z+1/3', '-x+y+2/3, -x+1/3, z+1/3', 'y+2/3, x+1/3, -z+1/3', 'x-y+2/3, -y+1/3, -z+1/3', '-x+2/3, -x+y+1/3, -z+1/3', 'x+1/3, y+2/3, z+2/3', '-y+1/3, x-y+2/3, z+2/3', '-x+y+1/3, -x+2/3, z+2/3', 'y+1/3, x+2/3, -z+2/3', 'x-y+1/3, -y+2/3, -z+2/3', '-x+1/3, -x+y+2/3, -z+2/3'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, -z', 'y, -x+y, -z', 'x-y, x, -z', 'x+2/3, y+1/3, z+1/3', '-y+2/3, x-y+1/3, z+1/3', '-x+y+2/3, -x+1/3, z+1/3', '-x+2/3, -y+1/3, -z+1/3', 'y+2/3, -x+y+1/3, -z+1/3', 'x-y+2/3, x+1/3, -z+1/3', 'x+1/3, y+2/3, z+2/3', '-y+1/3, x-y+2/3, z+2/3', '-x+y+1/3, -x+2/3, z+2/3', '-x+1/3, -y+2/3, -z+2/3', 'y+1/3, -x+y+2/3, -z+2/3', 'x-y+1/3, x+2/3, -z+2/3'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, -z', 'y, -x+y, -z', 'x-y, x, -z', 'x+2/3, y+1/3, z+1/3', '-y+2/3, x-y+1/3, z+1/3', '-x+y+2/3, -x+1/3, z+1/3', '-x+2/3, -y+1/3, -z+1/3', 'y+2/3, -x+y+1/3, -z+1/3', 'x-y+2/3, x+1/3, -z+1/3', 'x+1/3, y+2/3, z+2/3', '-y+1/3, x-y+2/3, z+2/3', '-x+y+1/3, -x+2/3, z+2/3', '-x+1/3, -y+2/3, -z+2/3', 'y+1/3, -x+y+2/3, -z+2/3', 'x-y+1/3, x+2/3, -z+2/3'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', 'x+2/3, y+1/3, z+1/3', '-y+2/3, x-y+1/3, z+1/3', '-x+y+2/3, -x+1/3, z+1/3', 'x+1/3, y+2/3, z+2/3', '-y+1/3, x-y+2/3, z+2/3', '-x+y+1/3, -x+2/3, z+2/3'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', 'x+2/3, y+1/3, z+1/3', '-y+2/3, x-y+1/3, z+1/3', '-x+y+2/3, -x+1/3, z+1/3', 'x+1/3, y+2/3, z+2/3', '-y+1/3, x-y+2/3, z+2/3', '-x+y+1/3, -x+2/3, z+2/3'], ['x, y, z', 'y, x, -z', 'x+2/3, y+1/3, z+1/3', 'y+2/3, x+1/3, -z+1/3', 'x+1/3, y+2/3, z+2/3', 'y+1/3, x+2/3, -z+2/3'], ['x, y, z', 'x+2/3, y+1/3, z+1/3', 'x+1/3, y+2/3, z+2/3'], ['x, y, z', 'x+2/3, y+1/3, z+1/3', 'x+1/3, y+2/3, z+2/3']]\"\n167,\"[['x, y, z', '-y, x-y, z', '-x+y, -x, z', 'y, x, -z+1/2', 'x-y, -y, -z+1/2', '-x, -x+y, -z+1/2', '-x, -y, -z', 'y, -x+y, -z', 'x-y, x, -z', '-y, -x, z+1/2', '-x+y, y, z+1/2', 'x, x-y, z+1/2', 'x+2/3, y+1/3, z+1/3', '-y+2/3, x-y+1/3, z+1/3', '-x+y+2/3, -x+1/3, z+1/3', 'y+2/3, x+1/3, -z+5/6', 'x-y+2/3, -y+1/3, -z+5/6', '-x+2/3, -x+y+1/3, -z+5/6', '-x+2/3, -y+1/3, -z+1/3', 'y+2/3, -x+y+1/3, -z+1/3', 'x-y+2/3, x+1/3, -z+1/3', '-y+2/3, -x+1/3, z+5/6', '-x+y+2/3, y+1/3, z+5/6', 'x+2/3, x-y+1/3, z+5/6', 'x+1/3, y+2/3, z+2/3', '-y+1/3, x-y+2/3, z+2/3', '-x+y+1/3, -x+2/3, z+2/3', 'y+1/3, x+2/3, -z+7/6', 'x-y+1/3, -y+2/3, -z+7/6', '-x+1/3, -x+y+2/3, -z+7/6', '-x+1/3, -y+2/3, -z+2/3', 'y+1/3, -x+y+2/3, -z+2/3', 'x-y+1/3, x+2/3, -z+2/3', '-y+1/3, -x+2/3, z+7/6', '-x+y+1/3, y+2/3, z+7/6', 'x+1/3, x-y+2/3, z+7/6'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, -z', 'y, -x+y, -z', 'x-y, x, -z', 'x+2/3, y+1/3, z+1/3', '-y+2/3, x-y+1/3, z+1/3', '-x+y+2/3, -x+1/3, z+1/3', '-x+2/3, -y+1/3, -z+1/3', 'y+2/3, -x+y+1/3, -z+1/3', 'x-y+2/3, x+1/3, -z+1/3', 'x+1/3, y+2/3, z+2/3', '-y+1/3, x-y+2/3, z+2/3', '-x+y+1/3, -x+2/3, z+2/3', '-x+1/3, -y+2/3, -z+2/3', 'y+1/3, -x+y+2/3, -z+2/3', 'x-y+1/3, x+2/3, -z+2/3'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', 'y, x, -z+1/2', 'x-y, -y, -z+1/2', '-x, -x+y, -z+1/2', 'x+2/3, y+1/3, z+1/3', '-y+2/3, x-y+1/3, z+1/3', '-x+y+2/3, -x+1/3, z+1/3', 'y+2/3, x+1/3, -z+5/6', 'x-y+2/3, -y+1/3, -z+5/6', '-x+2/3, -x+y+1/3, -z+5/6', 'x+1/3, y+2/3, z+2/3', '-y+1/3, x-y+2/3, z+2/3', '-x+y+1/3, -x+2/3, z+2/3', 'y+1/3, x+2/3, -z+7/6', 'x-y+1/3, -y+2/3, -z+7/6', '-x+1/3, -x+y+2/3, -z+7/6'], ['x, y, z', 'y, x, -z+1/2', '-x, -y, -z', '-y, -x, z+1/2', 'x+2/3, y+1/3, z+1/3', 'y+2/3, x+1/3, -z+5/6', '-x+2/3, -y+1/3, -z+1/3', '-y+2/3, -x+1/3, z+5/6', 'x+1/3, y+2/3, z+2/3', 'y+1/3, x+2/3, -z+7/6', '-x+1/3, -y+2/3, -z+2/3', '-y+1/3, -x+2/3, z+7/6'], ['x, y, z', 'y, x, -z+1/2', 'x+2/3, y+1/3, z+1/3', 'y+2/3, x+1/3, -z+5/6', 'x+1/3, y+2/3, z+2/3', 'y+1/3, x+2/3, -z+7/6'], ['x, y, z', '-x, -y, -z', 'x+2/3, y+1/3, z+1/3', '-x+2/3, -y+1/3, -z+1/3', 'x+1/3, y+2/3, z+2/3', '-x+1/3, -y+2/3, -z+2/3']]\"\n168,\"[['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, z', 'y, -x+y, z', 'x-y, x, z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z'], ['x, y, z', '-x, -y, z'], ['x, y, z']]\"\n169,\"[['x, y, z', '-y, x-y, z+1/3', '-x+y, -x, z+2/3', '-x, -y, z+1/2', 'y, -x+y, z+5/6', 'x-y, x, z+1/6']]\"\n170,\"[['x, y, z', '-y, x-y, z+2/3', '-x+y, -x, z+1/3', '-x, -y, z+1/2', 'y, -x+y, z+1/6', 'x-y, x, z+5/6']]\"\n171,\"[['x, y, z', '-y, x-y, z+2/3', '-x+y, -x, z+1/3', '-x, -y, z', 'y, -x+y, z+2/3', 'x-y, x, z+1/3'], ['x, y, z', '-y, x-y, z+2/3', '-x+y, -x, z+1/3'], ['x, y, z', '-y, x-y, z+2/3', '-x+y, -x, z+1/3']]\"\n172,\"[['x, y, z', '-y, x-y, z+1/3', '-x+y, -x, z+2/3', '-x, -y, z', 'y, -x+y, z+1/3', 'x-y, x, z+2/3'], ['x, y, z', '-y, x-y, z+1/3', '-x+y, -x, z+2/3'], ['x, y, z', '-y, x-y, z+1/3', '-x+y, -x, z+2/3']]\"\n173,\"[['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, z+1/2', 'y, -x+y, z+1/2', 'x-y, x, z+1/2'], ['x, y, z', '-x, -y, z+1/2'], ['x, y, z', '-x, -y, z+1/2']]\"\n174,\"[['x, y, z', '-y, x-y, z', '-x+y, -x, z', 'x, y, -z', '-y, x-y, -z', '-x+y, -x, -z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']]\"\n175,\"[['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, z', 'y, -x+y, z', 'x-y, x, z', '-x, -y, -z', 'y, -x+y, -z', 'x-y, x, -z', 'x, y, -z', '-y, x-y, -z', '-x+y, -x, -z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, z', 'y, -x+y, z', 'x-y, x, z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, z', 'y, -x+y, z', 'x-y, x, z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, -z', 'y, -x+y, -z', 'x-y, x, -z'], ['x, y, z', '-x, -y, z', '-x, -y, -z', 'x, y, -z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z'], ['x, y, z', '-x, -y, -z'], ['x, y, z', '-x, -y, z'], ['x, y, z', '-x, -y, z'], ['x, y, z'], ['x, y, z']]\"\n176,\"[['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, z+1/2', 'y, -x+y, z+1/2', 'x-y, x, z+1/2', '-x, -y, -z', 'y, -x+y, -z', 'x-y, x, -z', 'x, y, -z+1/2', '-y, x-y, -z+1/2', '-x+y, -x, -z+1/2'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, z+1/2', 'y, -x+y, z+1/2', 'x-y, x, z+1/2'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, z+1/2', 'y, -x+y, z+1/2', 'x-y, x, z+1/2'], ['x, y, z', '-x, -y, z+1/2', '-x, -y, -z', 'x, y, -z+1/2'], ['x, y, z', '-x, -y, z+1/2', '-x, -y, -z', 'x, y, -z+1/2'], ['x, y, z', '-x, -y, z+1/2'], ['x, y, z', '-x, -y, z+1/2'], ['x, y, z', '-x, -y, z+1/2'], ['x, y, z', '-x, -y, z+1/2']]\"\n177,\"[['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, z', 'y, -x+y, z', 'x-y, x, z', 'y, x, -z', 'x-y, -y, -z', '-x, -x+y, -z', '-y, -x, -z', '-x+y, y, -z', 'x, x-y, -z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, z', 'y, -x+y, z', 'x-y, x, z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, z', 'y, -x+y, z', 'x-y, x, z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, z', 'y, -x+y, z', 'x-y, x, z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, z', 'y, -x+y, z', 'x-y, x, z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', 'y, x, -z', 'x-y, -y, -z', '-x, -x+y, -z'], ['x, y, z', '-x, -y, z', 'y, x, -z', '-y, -x, -z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z'], ['x, y, z', 'y, x, -z'], ['x, y, z', '-x, -y, z'], ['x, y, z', '-x, -y, z'], ['x, y, z'], ['x, y, z']]\"\n178,\"[['x, y, z', '-y, x-y, z+1/3', '-x+y, -x, z+2/3', '-x, -y, z+1/2', 'y, -x+y, z+5/6', 'x-y, x, z+1/6', 'y, x, -z+1/3', 'x-y, -y, -z', '-x, -x+y, -z+2/3', '-y, -x, -z+5/6', '-x+y, y, -z+1/2', 'x, x-y, -z+1/6'], ['x, y, z', '-y, x-y, z+1/3', '-x+y, -x, z+2/3', '-x, -y, z+1/2', 'y, -x+y, z+5/6', 'x-y, x, z+1/6'], ['x, y, z', '-y, x-y, z+1/3', '-x+y, -x, z+2/3', '-x, -y, z+1/2', 'y, -x+y, z+5/6', 'x-y, x, z+1/6']]\"\n179,\"[['x, y, z', '-y, x-y, z+2/3', '-x+y, -x, z+1/3', '-x, -y, z+1/2', 'y, -x+y, z+1/6', 'x-y, x, z+5/6', 'y, x, -z+2/3', 'x-y, -y, -z', '-x, -x+y, -z+1/3', '-y, -x, -z+1/6', '-x+y, y, -z+1/2', 'x, x-y, -z+5/6'], ['x, y, z', '-y, x-y, z+2/3', '-x+y, -x, z+1/3', '-x, -y, z+1/2', 'y, -x+y, z+1/6', 'x-y, x, z+5/6'], ['x, y, z', '-y, x-y, z+2/3', '-x+y, -x, z+1/3', '-x, -y, z+1/2', 'y, -x+y, z+1/6', 'x-y, x, z+5/6']]\"\n180,\"[['x, y, z', '-y, x-y, z+2/3', '-x+y, -x, z+1/3', '-x, -y, z', 'y, -x+y, z+2/3', 'x-y, x, z+1/3', 'y, x, -z+2/3', 'x-y, -y, -z', '-x, -x+y, -z+1/3', '-y, -x, -z+2/3', '-x+y, y, -z', 'x, x-y, -z+1/3'], ['x, y, z', '-y, x-y, z+2/3', '-x+y, -x, z+1/3', '-x, -y, z', 'y, -x+y, z+2/3', 'x-y, x, z+1/3'], ['x, y, z', '-y, x-y, z+2/3', '-x+y, -x, z+1/3', '-x, -y, z', 'y, -x+y, z+2/3', 'x-y, x, z+1/3'], ['x, y, z', '-y, x-y, z+2/3', '-x+y, -x, z+1/3', '-x, -y, z', 'y, -x+y, z+2/3', 'x-y, x, z+1/3'], ['x, y, z', '-y, x-y, z+2/3', '-x+y, -x, z+1/3', '-x, -y, z', 'y, -x+y, z+2/3', 'x-y, x, z+1/3'], ['x, y, z', '-y, x-y, z+2/3', '-x+y, -x, z+1/3', 'y, x, -z+2/3', 'x-y, -y, -z', '-x, -x+y, -z+1/3'], ['x, y, z', '-y, x-y, z+2/3', '-x+y, -x, z+1/3', 'y, x, -z+2/3', 'x-y, -y, -z', '-x, -x+y, -z+1/3'], ['x, y, z', '-y, x-y, z+2/3', '-x+y, -x, z+1/3'], ['x, y, z', '-y, x-y, z+2/3', '-x+y, -x, z+1/3'], ['x, y, z', '-y, x-y, z+2/3', '-x+y, -x, z+1/3'], ['x, y, z', '-y, x-y, z+2/3', '-x+y, -x, z+1/3']]\"\n181,\"[['x, y, z', '-y, x-y, z+1/3', '-x+y, -x, z+2/3', '-x, -y, z', 'y, -x+y, z+1/3', 'x-y, x, z+2/3', 'y, x, -z+1/3', 'x-y, -y, -z', '-x, -x+y, -z+2/3', '-y, -x, -z+1/3', '-x+y, y, -z', 'x, x-y, -z+2/3'], ['x, y, z', '-y, x-y, z+1/3', '-x+y, -x, z+2/3', '-x, -y, z', 'y, -x+y, z+1/3', 'x-y, x, z+2/3'], ['x, y, z', '-y, x-y, z+1/3', '-x+y, -x, z+2/3', '-x, -y, z', 'y, -x+y, z+1/3', 'x-y, x, z+2/3'], ['x, y, z', '-y, x-y, z+1/3', '-x+y, -x, z+2/3', '-x, -y, z', 'y, -x+y, z+1/3', 'x-y, x, z+2/3'], ['x, y, z', '-y, x-y, z+1/3', '-x+y, -x, z+2/3', '-x, -y, z', 'y, -x+y, z+1/3', 'x-y, x, z+2/3'], ['x, y, z', '-y, x-y, z+1/3', '-x+y, -x, z+2/3', 'y, x, -z+1/3', 'x-y, -y, -z', '-x, -x+y, -z+2/3'], ['x, y, z', '-y, x-y, z+1/3', '-x+y, -x, z+2/3', 'y, x, -z+1/3', 'x-y, -y, -z', '-x, -x+y, -z+2/3'], ['x, y, z', '-y, x-y, z+1/3', '-x+y, -x, z+2/3'], ['x, y, z', '-y, x-y, z+1/3', '-x+y, -x, z+2/3'], ['x, y, z', '-y, x-y, z+1/3', '-x+y, -x, z+2/3'], ['x, y, z', '-y, x-y, z+1/3', '-x+y, -x, z+2/3']]\"\n182,\"[['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, z+1/2', 'y, -x+y, z+1/2', 'x-y, x, z+1/2', 'y, x, -z', 'x-y, -y, -z', '-x, -x+y, -z', '-y, -x, -z+1/2', '-x+y, y, -z+1/2', 'x, x-y, -z+1/2'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, z+1/2', 'y, -x+y, z+1/2', 'x-y, x, z+1/2'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, z+1/2', 'y, -x+y, z+1/2', 'x-y, x, z+1/2'], ['x, y, z', '-x, -y, z+1/2', 'y, x, -z', '-y, -x, -z+1/2'], ['x, y, z', '-x, -y, z+1/2', 'y, x, -z', '-y, -x, -z+1/2'], ['x, y, z', '-x, -y, z+1/2'], ['x, y, z', '-x, -y, z+1/2'], ['x, y, z', '-x, -y, z+1/2'], ['x, y, z', '-x, -y, z+1/2']]\"\n183,\"[['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, z', 'y, -x+y, z', 'x-y, x, z', '-y, -x, z', '-x+y, y, z', 'x, x-y, z', 'y, x, z', 'x-y, -y, z', '-x, -x+y, z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, z', 'y, -x+y, z', 'x-y, x, z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, z', 'y, -x+y, z', 'x-y, x, z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z'], ['x, y, z', '-x, -y, z'], ['x, y, z']]\"\n184,\"[['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, z', 'y, -x+y, z', 'x-y, x, z', '-y, -x, z+1/2', '-x+y, y, z+1/2', 'x, x-y, z+1/2', 'y, x, z+1/2', 'x-y, -y, z+1/2', '-x, -x+y, z+1/2'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-y, -x, z+1/2', '-x+y, y, z+1/2', 'x, x-y, z+1/2'], ['x, y, z', '-x, -y, z', '-y, -x, z+1/2', 'y, x, z+1/2'], ['x, y, z', '-y, -x, z+1/2']]\"\n185,\"[['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, z+1/2', 'y, -x+y, z+1/2', 'x-y, x, z+1/2', '-y, -x, z+1/2', '-x+y, y, z+1/2', 'x, x-y, z+1/2', 'y, x, z', 'x-y, -y, z', '-x, -x+y, z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, z+1/2', 'y, -x+y, z+1/2', 'x-y, x, z+1/2'], ['x, y, z', '-x, -y, z+1/2', '-y, -x, z+1/2', 'y, x, z'], ['x, y, z', '-x, -y, z+1/2']]\"\n186,\"[['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, z+1/2', 'y, -x+y, z+1/2', 'x-y, x, z+1/2', '-y, -x, z', '-x+y, y, z', 'x, x-y, z', 'y, x, z+1/2', 'x-y, -y, z+1/2', '-x, -x+y, z+1/2'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, z+1/2', 'y, -x+y, z+1/2', 'x-y, x, z+1/2'], ['x, y, z', '-x, -y, z+1/2'], ['x, y, z', '-x, -y, z+1/2']]\"\n187,\"[['x, y, z', '-y, x-y, z', '-x+y, -x, z', 'x, y, -z', '-y, x-y, -z', '-x+y, -x, -z', '-y, -x, z', '-x+y, y, z', 'x, x-y, z', '-y, -x, -z', '-x+y, y, -z', 'x, x-y, -z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', 'x, y, -z', '-y, x-y, -z', '-x+y, -x, -z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-y, -x, z', '-x+y, y, z', 'x, x-y, z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-y, -x, z', '-x+y, y, z', 'x, x-y, z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']]\"\n188,\"[['x, y, z', '-y, x-y, z', '-x+y, -x, z', 'x, y, -z+1/2', '-y, x-y, -z+1/2', '-x+y, -x, -z+1/2', '-y, -x, z+1/2', '-x+y, y, z+1/2', 'x, x-y, z+1/2', '-y, -x, -z', '-x+y, y, -z', 'x, x-y, -z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-y, -x, z+1/2', '-x+y, y, z+1/2', 'x, x-y, z+1/2'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', 'x, y, -z+1/2', '-y, x-y, -z+1/2', '-x+y, -x, -z+1/2'], ['x, y, z', 'x, y, -z+1/2', '-y, -x, z+1/2', '-y, -x, -z'], ['x, y, z', 'x, y, -z+1/2', '-y, -x, z+1/2', '-y, -x, -z'], ['x, y, z', 'x, y, -z+1/2', '-y, -x, z+1/2', '-y, -x, -z'], ['x, y, z', '-y, -x, z+1/2'], ['x, y, z', 'x, y, -z+1/2'], ['x, y, z', '-y, -x, z+1/2'], ['x, y, z', 'x, y, -z+1/2'], ['x, y, z', '-y, -x, z+1/2'], ['x, y, z', 'x, y, -z+1/2']]\"\n189,\"[['x, y, z', '-y, x-y, z', '-x+y, -x, z', 'x, y, -z', '-y, x-y, -z', '-x+y, -x, -z', 'y, x, -z', 'x-y, -y, -z', '-x, -x+y, -z', 'y, x, z', 'x-y, -y, z', '-x, -x+y, z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', 'y, x, -z', 'x-y, -y, -z', '-x, -x+y, -z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', 'y, x, -z', 'x-y, -y, -z', '-x, -x+y, -z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', 'x, y, -z', '-y, x-y, -z', '-x+y, -x, -z'], ['x, y, z', 'x, y, -z', 'y, x, -z', 'y, x, z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'y, x, -z'], ['x, y, z', 'y, x, -z'], ['x, y, z'], ['x, y, z']]\"\n190,\"[['x, y, z', '-y, x-y, z', '-x+y, -x, z', 'x, y, -z+1/2', '-y, x-y, -z+1/2', '-x+y, -x, -z+1/2', 'y, x, -z', 'x-y, -y, -z', '-x, -x+y, -z', 'y, x, z+1/2', 'x-y, -y, z+1/2', '-x, -x+y, z+1/2'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', 'y, x, -z', 'x-y, -y, -z', '-x, -x+y, -z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', 'x, y, -z+1/2', '-y, x-y, -z+1/2', '-x+y, -x, -z+1/2'], ['x, y, z', 'x, y, -z+1/2', 'y, x, -z', 'y, x, z+1/2'], ['x, y, z', 'x, y, -z+1/2', 'y, x, -z', 'y, x, z+1/2'], ['x, y, z', 'y, x, -z'], ['x, y, z', 'y, x, -z'], ['x, y, z', 'y, x, -z'], ['x, y, z', 'x, y, -z+1/2']]\"\n191,\"[['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, z', 'y, -x+y, z', 'x-y, x, z', 'y, x, -z', 'x-y, -y, -z', '-x, -x+y, -z', '-y, -x, -z', '-x+y, y, -z', 'x, x-y, -z', '-x, -y, -z', 'y, -x+y, -z', 'x-y, x, -z', 'x, y, -z', '-y, x-y, -z', '-x+y, -x, -z', '-y, -x, z', '-x+y, y, z', 'x, x-y, z', 'y, x, z', 'x-y, -y, z', '-x, -x+y, z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, z', 'y, -x+y, z', 'x-y, x, z', 'y, x, -z', 'x-y, -y, -z', '-x, -x+y, -z', '-y, -x, -z', '-x+y, y, -z', 'x, x-y, -z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, z', 'y, -x+y, z', 'x-y, x, z', 'y, x, -z', 'x-y, -y, -z', '-x, -x+y, -z', '-y, -x, -z', '-x+y, y, -z', 'x, x-y, -z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, z', 'y, -x+y, z', 'x-y, x, z', 'y, x, -z', 'x-y, -y, -z', '-x, -x+y, -z', '-y, -x, -z', '-x+y, y, -z', 'x, x-y, -z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, z', 'y, -x+y, z', 'x-y, x, z', 'y, x, -z', 'x-y, -y, -z', '-x, -x+y, -z', '-y, -x, -z', '-x+y, y, -z', 'x, x-y, -z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, z', 'y, -x+y, z', 'x-y, x, z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, z', 'y, -x+y, z', 'x-y, x, z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, z', 'y, -x+y, z', 'x-y, x, z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, z', 'y, -x+y, z', 'x-y, x, z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', 'y, x, -z', 'x-y, -y, -z', '-x, -x+y, -z'], ['x, y, z', '-x, -y, z', 'y, x, -z', '-y, -x, -z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z'], ['x, y, z', 'y, x, -z'], ['x, y, z', '-x, -y, z'], ['x, y, z', '-x, -y, z'], ['x, y, z'], ['x, y, z']]\"\n192,\"[['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, z', 'y, -x+y, z', 'x-y, x, z', 'y, x, -z+1/2', 'x-y, -y, -z+1/2', '-x, -x+y, -z+1/2', '-y, -x, -z+1/2', '-x+y, y, -z+1/2', 'x, x-y, -z+1/2', '-x, -y, -z', 'y, -x+y, -z', 'x-y, x, -z', 'x, y, -z', '-y, x-y, -z', '-x+y, -x, -z', '-y, -x, z+1/2', '-x+y, y, z+1/2', 'x, x-y, z+1/2', 'y, x, z+1/2', 'x-y, -y, z+1/2', '-x, -x+y, z+1/2'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, z', 'y, -x+y, z', 'x-y, x, z', 'y, x, -z+1/2', 'x-y, -y, -z+1/2', '-x, -x+y, -z+1/2', '-y, -x, -z+1/2', '-x+y, y, -z+1/2', 'x, x-y, -z+1/2'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, z', 'y, -x+y, z', 'x-y, x, z', '-x, -y, -z', 'y, -x+y, -z', 'x-y, x, -z', 'x, y, -z', '-y, x-y, -z', '-x+y, -x, -z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, z', 'y, -x+y, z', 'x-y, x, z', '-x, -y, -z', 'y, -x+y, -z', 'x-y, x, -z', 'x, y, -z', '-y, x-y, -z', '-x+y, -x, -z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', 'y, x, -z+1/2', 'x-y, -y, -z+1/2', '-x, -x+y, -z+1/2', '-x, -y, -z', 'y, -x+y, -z', 'x-y, x, -z', '-y, -x, z+1/2', '-x+y, y, z+1/2', 'x, x-y, z+1/2'], ['x, y, z', '-x, -y, z', 'y, x, -z+1/2', '-y, -x, -z+1/2', '-x, -y, -z', 'x, y, -z', '-y, -x, z+1/2', 'y, x, z+1/2'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', 'y, x, -z+1/2', 'x-y, -y, -z+1/2', '-x, -x+y, -z+1/2'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, -z', 'y, -x+y, -z', 'x-y, x, -z'], ['x, y, z', 'y, x, -z+1/2', '-x, -y, -z', '-y, -x, z+1/2'], ['x, y, z', '-x, -y, z', 'y, x, -z+1/2', '-y, -x, -z+1/2'], ['x, y, z', '-x, -y, z', '-x, -y, -z', 'x, y, -z'], ['x, y, z', 'y, x, -z+1/2'], ['x, y, z', '-x, -y, -z']]\"\n193,\"[['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, z+1/2', 'y, -x+y, z+1/2', 'x-y, x, z+1/2', 'y, x, -z+1/2', 'x-y, -y, -z+1/2', '-x, -x+y, -z+1/2', '-y, -x, -z', '-x+y, y, -z', 'x, x-y, -z', '-x, -y, -z', 'y, -x+y, -z', 'x-y, x, -z', 'x, y, -z+1/2', '-y, x-y, -z+1/2', '-x+y, -x, -z+1/2', '-y, -x, z+1/2', '-x+y, y, z+1/2', 'x, x-y, z+1/2', 'y, x, z', 'x-y, -y, z', '-x, -x+y, z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, z+1/2', 'y, -x+y, z+1/2', 'x-y, x, z+1/2', 'y, x, -z+1/2', 'x-y, -y, -z+1/2', '-x, -x+y, -z+1/2', '-y, -x, -z', '-x+y, y, -z', 'x, x-y, -z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, z+1/2', 'y, -x+y, z+1/2', 'x-y, x, z+1/2', 'y, x, -z+1/2', 'x-y, -y, -z+1/2', '-x, -x+y, -z+1/2', '-y, -x, -z', '-x+y, y, -z', 'x, x-y, -z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, z+1/2', 'y, -x+y, z+1/2', 'x-y, x, z+1/2', '-x, -y, -z', 'y, -x+y, -z', 'x-y, x, -z', 'x, y, -z+1/2', '-y, x-y, -z+1/2', '-x+y, -x, -z+1/2'], ['x, y, z', '-x, -y, z+1/2', 'y, x, -z+1/2', '-y, -x, -z', '-x, -y, -z', 'x, y, -z+1/2', '-y, -x, z+1/2', 'y, x, z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, z+1/2', 'y, -x+y, z+1/2', 'x-y, x, z+1/2'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, z+1/2', 'y, -x+y, z+1/2', 'x-y, x, z+1/2'], ['x, y, z', '-x, -y, z+1/2', 'y, x, -z+1/2', '-y, -x, -z'], ['x, y, z', '-x, -y, z+1/2', '-x, -y, -z', 'x, y, -z+1/2'], ['x, y, z', '-x, -y, z+1/2', 'y, x, -z+1/2', '-y, -x, -z'], ['x, y, z', '-x, -y, z+1/2'], ['x, y, z', '-x, -y, z+1/2']]\"\n194,\"[['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, z+1/2', 'y, -x+y, z+1/2', 'x-y, x, z+1/2', 'y, x, -z', 'x-y, -y, -z', '-x, -x+y, -z', '-y, -x, -z+1/2', '-x+y, y, -z+1/2', 'x, x-y, -z+1/2', '-x, -y, -z', 'y, -x+y, -z', 'x-y, x, -z', 'x, y, -z+1/2', '-y, x-y, -z+1/2', '-x+y, -x, -z+1/2', '-y, -x, z', '-x+y, y, z', 'x, x-y, z', 'y, x, z+1/2', 'x-y, -y, z+1/2', '-x, -x+y, z+1/2'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, z+1/2', 'y, -x+y, z+1/2', 'x-y, x, z+1/2', 'y, x, -z', 'x-y, -y, -z', '-x, -x+y, -z', '-y, -x, -z+1/2', '-x+y, y, -z+1/2', 'x, x-y, -z+1/2'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, z+1/2', 'y, -x+y, z+1/2', 'x-y, x, z+1/2', 'y, x, -z', 'x-y, -y, -z', '-x, -x+y, -z', '-y, -x, -z+1/2', '-x+y, y, -z+1/2', 'x, x-y, -z+1/2'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, z+1/2', 'y, -x+y, z+1/2', 'x-y, x, z+1/2', '-x, -y, -z', 'y, -x+y, -z', 'x-y, x, -z', 'x, y, -z+1/2', '-y, x-y, -z+1/2', '-x+y, -x, -z+1/2'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, z+1/2', 'y, -x+y, z+1/2', 'x-y, x, z+1/2'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, z+1/2', 'y, -x+y, z+1/2', 'x-y, x, z+1/2'], ['x, y, z', '-x, -y, z+1/2', 'y, x, -z', '-y, -x, -z+1/2'], ['x, y, z', '-x, -y, z+1/2', 'y, x, -z', '-y, -x, -z+1/2'], ['x, y, z', '-x, -y, z+1/2'], ['x, y, z', '-x, -y, z+1/2'], ['x, y, z', '-x, -y, z+1/2'], ['x, y, z', '-x, -y, z+1/2']]\"\n195,\"[['x, y, z', '-x, -y, z', '-x, y, -z', 'x, -y, -z', 'z, x, y', 'z, -x, -y', '-z, -x, y', '-z, x, -y', 'y, z, x', '-y, z, -x', 'y, -z, -x', '-y, -z, x'], ['x, y, z', '-x, -y, z', 'z, x, y', 'z, -x, -y', 'y, z, x', '-y, z, -x'], ['x, y, z', '-x, -y, z', 'z, x, y', 'z, -x, -y', 'y, z, x', '-y, z, -x'], ['x, y, z', '-x, -y, z', 'z, x, y', 'z, -x, -y', 'y, z, x', '-y, z, -x'], ['x, y, z', '-x, -y, z', 'z, x, y', 'z, -x, -y', 'y, z, x', '-y, z, -x'], ['x, y, z', '-x, -y, z', '-x, y, -z', 'x, -y, -z'], ['x, y, z', 'z, x, y', 'y, z, x'], ['x, y, z', 'z, x, y', 'y, z, x'], ['x, y, z'], ['x, y, z']]\"\n196,\"[['x, y, z', '-x, -y, z', '-x, y, -z', 'x, -y, -z', 'z, x, y', 'z, -x, -y', '-z, -x, y', '-z, x, -y', 'y, z, x', '-y, z, -x', 'y, -z, -x', '-y, -z, x', 'x, y+1/2, z+1/2', '-x, -y+1/2, z+1/2', '-x, y+1/2, -z+1/2', 'x, -y+1/2, -z+1/2', 'z, x+1/2, y+1/2', 'z, -x+1/2, -y+1/2', '-z, -x+1/2, y+1/2', '-z, x+1/2, -y+1/2', 'y, z+1/2, x+1/2', '-y, z+1/2, -x+1/2', 'y, -z+1/2, -x+1/2', '-y, -z+1/2, x+1/2', 'x+1/2, y, z+1/2', '-x+1/2, -y, z+1/2', '-x+1/2, y, -z+1/2', 'x+1/2, -y, -z+1/2', 'z+1/2, x, y+1/2', 'z+1/2, -x, -y+1/2', '-z+1/2, -x, y+1/2', '-z+1/2, x, -y+1/2', 'y+1/2, z, x+1/2', '-y+1/2, z, -x+1/2', 'y+1/2, -z, -x+1/2', '-y+1/2, -z, x+1/2', 'x+1/2, y+1/2, z', '-x+1/2, -y+1/2, z', '-x+1/2, y+1/2, -z', 'x+1/2, -y+1/2, -z', 'z+1/2, x+1/2, y', 'z+1/2, -x+1/2, -y', '-z+1/2, -x+1/2, y', '-z+1/2, x+1/2, -y', 'y+1/2, z+1/2, x', '-y+1/2, z+1/2, -x', 'y+1/2, -z+1/2, -x', '-y+1/2, -z+1/2, x'], ['x, y, z', '-x, -y, z', '-x, y, -z', 'x, -y, -z', 'z, x, y', 'z, -x, -y', '-z, -x, y', '-z, x, -y', 'y, z, x', '-y, z, -x', 'y, -z, -x', '-y, -z, x', 'z, x+1/2, y+1/2', 'z, -x+1/2, -y+1/2', '-z, -x+1/2, y+1/2', '-z, x+1/2, -y+1/2', 'y, z+1/2, x+1/2', '-y, z+1/2, -x+1/2', 'y, -z+1/2, -x+1/2', '-y, -z+1/2, x+1/2', 'x+1/2, y, z+1/2', '-x+1/2, -y, z+1/2', '-x+1/2, y, -z+1/2', 'x+1/2, -y, -z+1/2'], ['x, y, z', '-x, -y, z', 'z, x, y', 'z, -x, -y', 'y, z, x', '-y, z, -x', 'x, y+1/2, z+1/2', '-x, -y+1/2, z+1/2', 'z, x+1/2, y+1/2', 'z, -x+1/2, -y+1/2', 'y, z+1/2, x+1/2', '-y, z+1/2, -x+1/2', 'x+1/2, y, z+1/2', '-x+1/2, -y, z+1/2', 'z+1/2, x, y+1/2', 'z+1/2, -x, -y+1/2', 'y+1/2, z, x+1/2', '-y+1/2, z, -x+1/2', 'x+1/2, y+1/2, z', '-x+1/2, -y+1/2, z', 'z+1/2, x+1/2, y', 'z+1/2, -x+1/2, -y', 'y+1/2, z+1/2, x', '-y+1/2, z+1/2, -x'], ['x, y, z', '-x, -y, z', '-x, y, -z', 'x, -y, -z', 'x, y+1/2, z+1/2', '-x, -y+1/2, z+1/2', '-x, y+1/2, -z+1/2', 'x, -y+1/2, -z+1/2', 'x+1/2, y, z+1/2', '-x+1/2, -y, z+1/2', '-x+1/2, y, -z+1/2', 'x+1/2, -y, -z+1/2', 'x+1/2, y+1/2, z', '-x+1/2, -y+1/2, z', '-x+1/2, y+1/2, -z', 'x+1/2, -y+1/2, -z'], ['x, y, z', '-x, -y, z', '-x, y, -z', 'x, -y, -z'], ['x, y, z', '-x, -y, z', '-x, y, -z', 'x, -y, -z'], ['x, y, z', 'x, y+1/2, z+1/2', 'x+1/2, y, z+1/2', 'x+1/2, y+1/2, z'], ['x, y, z', 'x, y+1/2, z+1/2', 'x+1/2, y, z+1/2', 'x+1/2, y+1/2, z']]\"\n197,\"[['x, y, z', '-x, -y, z', '-x, y, -z', 'x, -y, -z', 'z, x, y', 'z, -x, -y', '-z, -x, y', '-z, x, -y', 'y, z, x', '-y, z, -x', 'y, -z, -x', '-y, -z, x', 'x+1/2, y+1/2, z+1/2', '-x+1/2, -y+1/2, z+1/2', '-x+1/2, y+1/2, -z+1/2', 'x+1/2, -y+1/2, -z+1/2', 'z+1/2, x+1/2, y+1/2', 'z+1/2, -x+1/2, -y+1/2', '-z+1/2, -x+1/2, y+1/2', '-z+1/2, x+1/2, -y+1/2', 'y+1/2, z+1/2, x+1/2', '-y+1/2, z+1/2, -x+1/2', 'y+1/2, -z+1/2, -x+1/2', '-y+1/2, -z+1/2, x+1/2'], ['x, y, z', '-x, -y, z', 'z, x, y', 'z, -x, -y', 'y, z, x', '-y, z, -x', 'x+1/2, y+1/2, z+1/2', '-x+1/2, -y+1/2, z+1/2', 'z+1/2, x+1/2, y+1/2', 'z+1/2, -x+1/2, -y+1/2', 'y+1/2, z+1/2, x+1/2', '-y+1/2, z+1/2, -x+1/2'], ['x, y, z', '-x, -y, z', 'z, x, y', 'z, -x, -y', 'y, z, x', '-y, z, -x', 'x+1/2, y+1/2, z+1/2', '-x+1/2, -y+1/2, z+1/2', 'z+1/2, x+1/2, y+1/2', 'z+1/2, -x+1/2, -y+1/2', 'y+1/2, z+1/2, x+1/2', '-y+1/2, z+1/2, -x+1/2'], ['x, y, z', '-x, -y, z', '-x, y, -z', 'x, -y, -z', 'x+1/2, y+1/2, z+1/2', '-x+1/2, -y+1/2, z+1/2', '-x+1/2, y+1/2, -z+1/2', 'x+1/2, -y+1/2, -z+1/2'], ['x, y, z', 'z, x, y', 'y, z, x', 'x+1/2, y+1/2, z+1/2', 'z+1/2, x+1/2, y+1/2', 'y+1/2, z+1/2, x+1/2'], ['x, y, z', 'x+1/2, y+1/2, z+1/2']]\"\n198,\"[['x, y, z', '-x+1/2, -y, z+1/2', '-x, y+1/2, -z+1/2', 'x+1/2, -y+1/2, -z', 'z, x, y', 'z+1/2, -x+1/2, -y', '-z+1/2, -x, y+1/2', '-z, x+1/2, -y+1/2', 'y, z, x', '-y, z+1/2, -x+1/2', 'y+1/2, -z+1/2, -x', '-y+1/2, -z, x+1/2'], ['x, y, z', '-x+1/2, -y, z+1/2', '-x, y+1/2, -z+1/2', 'x+1/2, -y+1/2, -z']]\"\n199,\"[['x, y, z', '-x+1/2, -y, z+1/2', '-x, y+1/2, -z+1/2', 'x+1/2, -y+1/2, -z', 'z, x, y', 'z+1/2, -x+1/2, -y', '-z+1/2, -x, y+1/2', '-z, x+1/2, -y+1/2', 'y, z, x', '-y, z+1/2, -x+1/2', 'y+1/2, -z+1/2, -x', '-y+1/2, -z, x+1/2', 'x+1/2, y+1/2, z+1/2', '-x+1, -y+1/2, z+1', '-x+1/2, y+1, -z+1', 'x+1, -y+1, -z+1/2', 'z+1/2, x+1/2, y+1/2', 'z+1, -x+1, -y+1/2', '-z+1, -x+1/2, y+1', '-z+1/2, x+1, -y+1', 'y+1/2, z+1/2, x+1/2', '-y+1/2, z+1, -x+1', 'y+1, -z+1, -x+1/2', '-y+1, -z+1/2, x+1'], ['x, y, z', '-x+1/2, -y, z+1/2', '-x, y+1/2, -z+1/2', 'x+1/2, -y+1/2, -z', 'z, x, y', 'z+1/2, -x+1/2, -y', '-z+1/2, -x, y+1/2', '-z, x+1/2, -y+1/2', 'y, z, x', '-y, z+1/2, -x+1/2', 'y+1/2, -z+1/2, -x', '-y+1/2, -z, x+1/2'], ['x, y, z', '-x+1/2, -y, z+1/2', '-x, y+1/2, -z+1/2', 'x+1/2, -y+1/2, -z', 'x+1/2, y+1/2, z+1/2', '-x+1, -y+1/2, z+1', '-x+1/2, y+1, -z+1', 'x+1, -y+1, -z+1/2']]\"\n200,\"[['x, y, z', '-x, -y, z', '-x, y, -z', 'x, -y, -z', 'z, x, y', 'z, -x, -y', '-z, -x, y', '-z, x, -y', 'y, z, x', '-y, z, -x', 'y, -z, -x', '-y, -z, x', '-x, -y, -z', 'x, y, -z', 'x, -y, z', '-x, y, z', '-z, -x, -y', '-z, x, y', 'z, x, -y', 'z, -x, y', '-y, -z, -x', 'y, -z, x', '-y, z, x', 'y, z, -x'], ['x, y, z', '-x, -y, z', '-x, y, -z', 'x, -y, -z', 'z, x, y', 'z, -x, -y', '-z, -x, y', '-z, x, -y', 'y, z, x', '-y, z, -x', 'y, -z, -x', '-y, -z, x'], ['x, y, z', '-x, -y, z', '-x, y, -z', 'x, -y, -z', 'z, x, y', 'z, -x, -y', '-z, -x, y', '-z, x, -y', 'y, z, x', '-y, z, -x', 'y, -z, -x', '-y, -z, x'], ['x, y, z', '-x, -y, z', '-x, y, -z', 'x, -y, -z', '-x, -y, -z', 'x, y, -z', 'x, -y, z', '-x, y, z'], ['x, y, z', '-x, -y, z', 'z, x, y', 'z, -x, -y', 'y, z, x', '-y, z, -x'], ['x, y, z', '-x, -y, z', 'z, x, y', 'z, -x, -y', 'y, z, x', '-y, z, -x'], ['x, y, z', '-x, -y, z', 'z, x, y', 'z, -x, -y', 'y, z, x', '-y, z, -x'], ['x, y, z', '-x, -y, z', 'z, x, y', 'z, -x, -y', 'y, z, x', '-y, z, -x'], ['x, y, z', 'z, x, y', 'y, z, x'], ['x, y, z', 'z, x, y', 'y, z, x'], ['x, y, z'], ['x, y, z']]\"\n201,\"[['x, y, z', '-x+1/2, -y+1/2, z', '-x+1/2, y, -z+1/2', 'x, -y+1/2, -z+1/2', 'z, x, y', 'z, -x+1/2, -y+1/2', '-z+1/2, -x+1/2, y', '-z+1/2, x, -y+1/2', 'y, z, x', '-y+1/2, z, -x+1/2', 'y, -z+1/2, -x+1/2', '-y+1/2, -z+1/2, x', '-x, -y, -z', 'x+1/2, y+1/2, -z', 'x+1/2, -y, z+1/2', '-x, y+1/2, z+1/2', '-z, -x, -y', '-z, x+1/2, y+1/2', 'z+1/2, x+1/2, -y', 'z+1/2, -x, y+1/2', '-y, -z, -x', 'y+1/2, -z, x+1/2', '-y, z+1/2, x+1/2', 'y+1/2, z+1/2, -x'], ['x, y, z', '-x+1/2, -y+1/2, z', 'z, x, y', 'z, -x+1/2, -y+1/2', 'y, z, x', '-y+1/2, z, -x+1/2', '-x, -y, -z', 'x+1/2, y+1/2, -z', '-z, -x, -y', '-z, x+1/2, y+1/2', '-y, -z, -x', 'y+1/2, -z, x+1/2'], ['x, y, z', '-x+1/2, -y+1/2, z', 'z, x, y', 'z, -x+1/2, -y+1/2', 'y, z, x', '-y+1/2, z, -x+1/2', '-x, -y, -z', 'x+1/2, y+1/2, -z', '-z, -x, -y', '-z, x+1/2, y+1/2', '-y, -z, -x', 'y+1/2, -z, x+1/2'], ['x, y, z', '-x+1/2, -y+1/2, z', '-x+1/2, y, -z+1/2', 'x, -y+1/2, -z+1/2', '-x, -y, -z', 'x+1/2, y+1/2, -z', 'x+1/2, -y, z+1/2', '-x, y+1/2, z+1/2'], ['x, y, z', 'z, x, y', 'y, z, x', '-x, -y, -z', '-z, -x, -y', '-y, -z, -x'], ['x, y, z', '-x+1/2, -y+1/2, z', '-x+1/2, y, -z+1/2', 'x, -y+1/2, -z+1/2'], ['x, y, z', '-x+1/2, -y+1/2, z', '-x+1/2, y, -z+1/2', 'x, -y+1/2, -z+1/2'], ['x, y, z', '-x, -y, -z']]\"\n202,\"[['x, y, z', '-x, -y, z', '-x, y, -z', 'x, -y, -z', 'z, x, y', 'z, -x, -y', '-z, -x, y', '-z, x, -y', 'y, z, x', '-y, z, -x', 'y, -z, -x', '-y, -z, x', '-x, -y, -z', 'x, y, -z', 'x, -y, z', '-x, y, z', '-z, -x, -y', '-z, x, y', 'z, x, -y', 'z, -x, y', '-y, -z, -x', 'y, -z, x', '-y, z, x', 'y, z, -x', 'x, y+1/2, z+1/2', '-x, -y+1/2, z+1/2', '-x, y+1/2, -z+1/2', 'x, -y+1/2, -z+1/2', 'z, x+1/2, y+1/2', 'z, -x+1/2, -y+1/2', '-z, -x+1/2, y+1/2', '-z, x+1/2, -y+1/2', 'y, z+1/2, x+1/2', '-y, z+1/2, -x+1/2', 'y, -z+1/2, -x+1/2', '-y, -z+1/2, x+1/2', '-x, -y+1/2, -z+1/2', 'x, 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y', '-z, x, -y', 'y, z, x', '-y, z, -x', 'y, -z, -x', '-y, -z, x', 'z, x+1/2, y+1/2', 'z, -x+1/2, -y+1/2', '-z, -x+1/2, y+1/2', '-z, x+1/2, -y+1/2', 'y, z+1/2, x+1/2', '-y, z+1/2, -x+1/2', 'y, -z+1/2, -x+1/2', '-y, -z+1/2, x+1/2', 'x+1/2, y, z+1/2', '-x+1/2, -y, z+1/2', '-x+1/2, y, -z+1/2', 'x+1/2, -y, -z+1/2'], ['x, y, z', '-x, -y, z', '-x, y, -z', 'x, -y, -z', '-x, -y, -z', 'x, y, -z', 'x, -y, z', '-x, y, z'], ['x, y, z', 'x, y+1/2, z+1/2', 'x+1/2, y, z+1/2', 'x+1/2, y+1/2, z'], ['x, y, z', 'x, y+1/2, z+1/2', 'x+1/2, y, z+1/2', 'x+1/2, y+1/2, z']]\"\n203,\"[['x, y, z', '-x+1/4, -y+1/4, z', '-x+1/4, y, -z+1/4', 'x, -y+1/4, -z+1/4', 'z, x, y', 'z, -x+1/4, -y+1/4', '-z+1/4, -x+1/4, y', '-z+1/4, x, -y+1/4', 'y, z, x', '-y+1/4, z, -x+1/4', 'y, -z+1/4, -x+1/4', '-y+1/4, -z+1/4, x', '-x, -y, -z', 'x+3/4, y+3/4, -z', 'x+3/4, -y, z+3/4', '-x, y+3/4, z+3/4', '-z, -x, -y', '-z, x+3/4, y+3/4', 'z+3/4, x+3/4, -y', 'z+3/4, -x, y+3/4', '-y, -z, -x', 'y+3/4, -z, x+3/4', '-y, z+3/4, x+3/4', 'y+3/4, 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z'], ['x, y, z', '-x, -y, -z', 'x, y+1/2, z+1/2', '-x, -y+1/2, -z+1/2', 'x+1/2, y, z+1/2', '-x+1/2, -y, -z+1/2', 'x+1/2, y+1/2, z', '-x+1/2, -y+1/2, -z'], ['x, y, z', '-x, -y, -z', 'x, y+1/2, z+1/2', '-x, -y+1/2, -z+1/2', 'x+1/2, y, z+1/2', '-x+1/2, -y, -z+1/2', 'x+1/2, y+1/2, z', '-x+1/2, -y+1/2, -z']]\"\n204,\"[['x, y, z', '-x, -y, z', '-x, y, -z', 'x, -y, -z', 'z, x, y', 'z, -x, -y', '-z, -x, y', '-z, x, -y', 'y, z, x', '-y, z, -x', 'y, -z, -x', '-y, -z, x', '-x, -y, -z', 'x, y, -z', 'x, -y, z', '-x, y, z', '-z, -x, -y', '-z, x, y', 'z, x, -y', 'z, -x, y', '-y, -z, -x', 'y, -z, x', '-y, z, x', 'y, z, -x', 'x+1/2, y+1/2, z+1/2', '-x+1/2, -y+1/2, z+1/2', '-x+1/2, y+1/2, -z+1/2', 'x+1/2, -y+1/2, -z+1/2', 'z+1/2, x+1/2, y+1/2', 'z+1/2, -x+1/2, -y+1/2', '-z+1/2, -x+1/2, y+1/2', '-z+1/2, x+1/2, -y+1/2', 'y+1/2, z+1/2, x+1/2', '-y+1/2, z+1/2, -x+1/2', 'y+1/2, -z+1/2, -x+1/2', '-y+1/2, -z+1/2, x+1/2', '-x+1/2, -y+1/2, -z+1/2', 'x+1/2, y+1/2, -z+1/2', 'x+1/2, -y+1/2, z+1/2', '-x+1/2, y+1/2, 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z+1', '-x+1/2, y+1, -z+1', 'x+1, -y+1, -z+1/2', '-x+1/2, -y+1/2, -z+1/2', 'x+1, y+1/2, -z+1', 'x+1/2, -y+1, z+1', '-x+1, y+1, z+1/2'], ['x, y, z', '-x+1/2, -y, z+1/2', '-x, y+1/2, -z+1/2', 'x+1/2, -y+1/2, -z', '-x, -y, -z', 'x+1/2, y, -z+1/2', 'x, -y+1/2, z+1/2', '-x+1/2, y+1/2, z'], ['x, y, z', '-x+1/2, -y, z+1/2', '-x, y+1/2, -z+1/2', 'x+1/2, -y+1/2, -z', 'x+1/2, y+1/2, z+1/2', '-x+1, -y+1/2, z+1', '-x+1/2, y+1, -z+1', 'x+1, -y+1, -z+1/2']]\"\n207,\"[['x, y, z', '-x, -y, z', '-x, y, -z', 'x, -y, -z', 'z, x, y', 'z, -x, -y', '-z, -x, y', '-z, x, -y', 'y, z, x', '-y, z, -x', 'y, -z, -x', '-y, -z, x', 'y, x, -z', '-y, -x, -z', 'y, -x, z', '-y, x, z', 'x, z, -y', '-x, z, y', '-x, -z, -y', 'x, -z, y', 'z, y, -x', 'z, -y, x', '-z, y, x', '-z, -y, -x'], ['x, y, z', '-x, -y, z', '-x, y, -z', 'x, -y, -z', 'z, x, y', 'z, -x, -y', '-z, -x, y', '-z, x, -y', 'y, z, x', '-y, z, -x', 'y, -z, -x', '-y, -z, x'], ['x, y, z', '-x, -y, z', '-x, y, -z', 'x, -y, -z', 'z, x, y', 'z, -x, -y', '-z, -x, y', 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-z+1', 'y+3/4, x+3/4, -z+5/4', '-y+1/4, -x+3/4, -z+3/4', 'y+1/4, -x+5/4, z+5/4', '-y+3/4, x+5/4, z+3/4', 'x+1/2, y, z+1/2', '-x+1/2, -y+1/2, z+1', '-x+1, y+1/2, -z+1/2', 'x+1, -y, -z+1', 'y+5/4, x+1/4, -z+5/4', '-y+3/4, -x+1/4, -z+3/4', 'y+3/4, -x+3/4, z+5/4', '-y+5/4, x+3/4, z+3/4', 'x+1/2, y+1/2, z', '-x+1/2, -y+1, z+1/2', '-x+1, y+1, -z', 'x+1, -y+1/2, -z+1/2', 'y+5/4, x+3/4, -z+3/4', '-y+3/4, -x+3/4, -z+1/4', 'y+3/4, -x+5/4, z+3/4', '-y+5/4, x+5/4, z+1/4'], ['x, y, z', '-x, -y+1/2, z+1/2', '-x+1/2, y+1/2, -z', 'x+1/2, -y, -z+1/2', 'x, y+1/2, z+1/2', '-x, -y+1, z+1', '-x+1/2, y+1, -z+1/2', 'x+1/2, -y+1/2, -z+1', 'x+1/2, y, z+1/2', '-x+1/2, -y+1/2, z+1', '-x+1, y+1/2, -z+1/2', 'x+1, -y, -z+1', 'x+1/2, y+1/2, z', '-x+1/2, -y+1, z+1/2', '-x+1, y+1, -z', 'x+1, -y+1/2, -z+1/2'], ['x, y, z', '-x, -y+1/2, z+1/2', '-x+1/2, y+1/2, -z', 'x+1/2, -y, -z+1/2', 'x, y+1/2, z+1/2', '-x, -y+1, z+1', '-x+1/2, y+1, -z+1/2', 'x+1/2, -y+1/2, -z+1', 'x+1/2, y, z+1/2', '-x+1/2, -y+1/2, z+1', '-x+1, y+1/2, -z+1/2', 'x+1, -y, -z+1', 'x+1/2, y+1/2, z', '-x+1/2, -y+1, z+1/2', '-x+1, y+1, -z', 'x+1, -y+1/2, -z+1/2'], ['x, y, z', '-x, -y+1/2, z+1/2', '-x+1/2, y+1/2, -z', 'x+1/2, -y, -z+1/2', 'y+3/4, x+1/4, -z+3/4', '-y+1/4, -x+1/4, -z+1/4', 'y+1/4, -x+3/4, z+3/4', '-y+3/4, x+3/4, z+1/4'], ['x, y, z', '-x, -y+1/2, z+1/2', '-x+1/2, y+1/2, -z', 'x+1/2, -y, -z+1/2', 'y+3/4, x+1/4, -z+3/4', '-y+1/4, -x+1/4, -z+1/4', 'y+1/4, -x+3/4, z+3/4', '-y+3/4, x+3/4, z+1/4']]\"\n211,\"[['x, y, z', '-x, -y, z', '-x, y, -z', 'x, -y, -z', 'z, x, y', 'z, -x, -y', '-z, -x, y', '-z, x, -y', 'y, z, x', '-y, z, -x', 'y, -z, -x', '-y, -z, x', 'y, x, -z', '-y, -x, -z', 'y, -x, z', '-y, x, z', 'x, z, -y', '-x, z, y', '-x, -z, -y', 'x, -z, y', 'z, y, -x', 'z, -y, x', '-z, y, x', '-z, -y, -x', 'x+1/2, y+1/2, z+1/2', '-x+1/2, -y+1/2, z+1/2', '-x+1/2, y+1/2, -z+1/2', 'x+1/2, -y+1/2, -z+1/2', 'z+1/2, x+1/2, y+1/2', 'z+1/2, -x+1/2, -y+1/2', '-z+1/2, -x+1/2, y+1/2', '-z+1/2, x+1/2, -y+1/2', 'y+1/2, z+1/2, x+1/2', '-y+1/2, 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-x+1/2, -y+1/2', 'y+1/2, z+1/2, x+1/2', '-y+1/2, z+1/2, -x+1/2'], ['x, y, z', '-x, -y, z', 'z, x, y', 'z, -x, -y', 'y, z, x', '-y, z, -x', 'y, x, -z', '-y, -x, -z', 'x, z, -y', '-x, z, y', 'z, y, -x', 'z, -y, x'], ['x, y, z', '-x, -y, z', '-x, y, -z', 'x, -y, -z', 'y, x, -z', '-y, -x, -z', 'y, -x, z', '-y, x, z'], ['x, y, z', 'z, x, y', 'y, z, x', 'x+1/2, y+1/2, z+1/2', 'z+1/2, x+1/2, y+1/2', 'y+1/2, z+1/2, x+1/2'], ['x, y, z', 'x+1/2, y+1/2, z+1/2']]\"\n212,\"[['x, y, z', '-x+1/2, -y, z+1/2', '-x, y+1/2, -z+1/2', 'x+1/2, -y+1/2, -z', 'z, x, y', 'z+1/2, -x+1/2, -y', '-z+1/2, -x, y+1/2', '-z, x+1/2, -y+1/2', 'y, z, x', '-y, z+1/2, -x+1/2', 'y+1/2, -z+1/2, -x', '-y+1/2, -z, x+1/2', 'y+1/4, x+3/4, -z+3/4', '-y+1/4, -x+1/4, -z+1/4', 'y+3/4, -x+3/4, z+1/4', '-y+3/4, x+1/4, z+3/4', 'x+1/4, z+3/4, -y+3/4', '-x+3/4, z+1/4, y+3/4', '-x+1/4, -z+1/4, -y+1/4', 'x+3/4, -z+3/4, y+1/4', 'z+1/4, y+3/4, -x+3/4', 'z+3/4, -y+3/4, x+1/4', '-z+3/4, y+1/4, x+3/4', '-z+1/4, -y+1/4, -x+1/4'], ['x, y, z', '-x+1/2, -y, z+1/2', '-x, y+1/2, -z+1/2', 'x+1/2, -y+1/2, -z', 'z, x, y', 'z+1/2, -x+1/2, -y', '-z+1/2, -x, y+1/2', '-z, x+1/2, -y+1/2', 'y, z, x', '-y, z+1/2, -x+1/2', 'y+1/2, -z+1/2, -x', '-y+1/2, -z, x+1/2'], ['x, y, z', '-x+1/2, -y, z+1/2', '-x, y+1/2, -z+1/2', 'x+1/2, -y+1/2, -z', 'y+1/4, x+3/4, -z+3/4', '-y+1/4, -x+1/4, -z+1/4', 'y+3/4, -x+3/4, z+1/4', '-y+3/4, x+1/4, z+3/4'], ['x, y, z', '-x+1/2, -y, z+1/2', '-x, y+1/2, -z+1/2', 'x+1/2, -y+1/2, -z'], ['x, y, z', '-x+1/2, -y, z+1/2', '-x, y+1/2, -z+1/2', 'x+1/2, -y+1/2, -z']]\"\n213,\"[['x, y, z', '-x+1/2, -y, z+1/2', '-x, y+1/2, -z+1/2', 'x+1/2, -y+1/2, -z', 'z, x, y', 'z+1/2, -x+1/2, -y', '-z+1/2, -x, y+1/2', '-z, x+1/2, -y+1/2', 'y, z, x', '-y, z+1/2, -x+1/2', 'y+1/2, -z+1/2, -x', '-y+1/2, -z, x+1/2', 'y+3/4, x+1/4, -z+1/4', '-y+3/4, -x+3/4, -z+3/4', 'y+1/4, -x+1/4, z+3/4', '-y+1/4, x+3/4, z+1/4', 'x+3/4, z+1/4, -y+1/4', '-x+1/4, z+3/4, y+1/4', '-x+3/4, -z+3/4, -y+3/4', 'x+1/4, -z+1/4, y+3/4', 'z+3/4, y+1/4, -x+1/4', 'z+1/4, -y+1/4, x+3/4', '-z+1/4, y+3/4, x+1/4', '-z+3/4, -y+3/4, -x+3/4'], ['x, y, z', '-x+1/2, -y, z+1/2', '-x, y+1/2, -z+1/2', 'x+1/2, -y+1/2, -z', 'z, x, y', 'z+1/2, -x+1/2, -y', '-z+1/2, -x, y+1/2', '-z, x+1/2, -y+1/2', 'y, z, x', '-y, z+1/2, -x+1/2', 'y+1/2, -z+1/2, -x', '-y+1/2, -z, x+1/2'], ['x, y, z', '-x+1/2, -y, z+1/2', '-x, y+1/2, -z+1/2', 'x+1/2, -y+1/2, -z', 'y+3/4, x+1/4, -z+1/4', '-y+3/4, -x+3/4, -z+3/4', 'y+1/4, -x+1/4, z+3/4', '-y+1/4, x+3/4, z+1/4'], ['x, y, z', '-x+1/2, -y, z+1/2', '-x, y+1/2, -z+1/2', 'x+1/2, -y+1/2, -z'], ['x, y, z', '-x+1/2, -y, z+1/2', '-x, y+1/2, -z+1/2', 'x+1/2, -y+1/2, -z']]\"\n214,\"[['x, y, z', '-x+1/2, -y, z+1/2', '-x, y+1/2, -z+1/2', 'x+1/2, -y+1/2, -z', 'z, x, y', 'z+1/2, -x+1/2, -y', '-z+1/2, -x, y+1/2', '-z, x+1/2, -y+1/2', 'y, z, x', '-y, z+1/2, -x+1/2', 'y+1/2, -z+1/2, -x', '-y+1/2, -z, x+1/2', 'y+3/4, x+1/4, -z+1/4', '-y+3/4, -x+3/4, -z+3/4', 'y+1/4, -x+1/4, z+3/4', '-y+1/4, x+3/4, z+1/4', 'x+3/4, z+1/4, -y+1/4', '-x+1/4, z+3/4, y+1/4', '-x+3/4, -z+3/4, -y+3/4', 'x+1/4, -z+1/4, y+3/4', 'z+3/4, y+1/4, -x+1/4', 'z+1/4, -y+1/4, x+3/4', '-z+1/4, y+3/4, x+1/4', '-z+3/4, -y+3/4, -x+3/4', 'x+1/2, y+1/2, z+1/2', '-x+1, -y+1/2, z+1', '-x+1/2, y+1, -z+1', 'x+1, -y+1, -z+1/2', 'z+1/2, x+1/2, y+1/2', 'z+1, -x+1, -y+1/2', '-z+1, -x+1/2, y+1', '-z+1/2, x+1, -y+1', 'y+1/2, z+1/2, x+1/2', '-y+1/2, z+1, -x+1', 'y+1, -z+1, -x+1/2', '-y+1, -z+1/2, x+1', 'y+5/4, x+3/4, -z+3/4', '-y+5/4, -x+5/4, -z+5/4', 'y+3/4, -x+3/4, z+5/4', '-y+3/4, x+5/4, z+3/4', 'x+5/4, z+3/4, -y+3/4', '-x+3/4, z+5/4, y+3/4', '-x+5/4, -z+5/4, -y+5/4', 'x+3/4, -z+3/4, y+5/4', 'z+5/4, y+3/4, -x+3/4', 'z+3/4, -y+3/4, x+5/4', '-z+3/4, y+5/4, x+3/4', '-z+5/4, -y+5/4, -x+5/4'], ['x, y, z', '-x+1/2, -y, z+1/2', '-x, y+1/2, -z+1/2', 'x+1/2, -y+1/2, -z', 'z, x, y', 'z+1/2, -x+1/2, -y', '-z+1/2, -x, y+1/2', '-z, x+1/2, -y+1/2', 'y, z, x', '-y, z+1/2, -x+1/2', 'y+1/2, -z+1/2, -x', '-y+1/2, -z, x+1/2', 'y+3/4, x+1/4, -z+1/4', '-y+3/4, -x+3/4, -z+3/4', 'y+1/4, -x+1/4, z+3/4', '-y+1/4, x+3/4, z+1/4', 'x+3/4, z+1/4, -y+1/4', '-x+1/4, z+3/4, y+1/4', '-x+3/4, -z+3/4, -y+3/4', 'x+1/4, -z+1/4, y+3/4', 'z+3/4, y+1/4, -x+1/4', 'z+1/4, -y+1/4, x+3/4', '-z+1/4, y+3/4, x+1/4', '-z+3/4, -y+3/4, -x+3/4'], ['x, y, z', '-x+1/2, -y, z+1/2', '-x, y+1/2, -z+1/2', 'x+1/2, -y+1/2, -z', 'z, x, y', 'z+1/2, -x+1/2, -y', '-z+1/2, -x, y+1/2', '-z, x+1/2, -y+1/2', 'y, z, x', '-y, z+1/2, -x+1/2', 'y+1/2, -z+1/2, -x', '-y+1/2, -z, x+1/2', 'x+1/2, y+1/2, z+1/2', '-x+1, -y+1/2, z+1', '-x+1/2, y+1, -z+1', 'x+1, -y+1, -z+1/2', 'z+1/2, x+1/2, y+1/2', 'z+1, -x+1, -y+1/2', '-z+1, -x+1/2, y+1', '-z+1/2, x+1, -y+1', 'y+1/2, z+1/2, x+1/2', '-y+1/2, z+1, -x+1', 'y+1, -z+1, -x+1/2', '-y+1, -z+1/2, x+1'], ['x, y, z', '-x+1/2, -y, z+1/2', '-x, y+1/2, -z+1/2', 'x+1/2, -y+1/2, -z', 'z, x, y', 'z+1/2, -x+1/2, -y', '-z+1/2, -x, y+1/2', '-z, x+1/2, -y+1/2', 'y, z, x', '-y, z+1/2, -x+1/2', 'y+1/2, -z+1/2, -x', '-y+1/2, -z, x+1/2', 'y+3/4, x+1/4, -z+1/4', '-y+3/4, -x+3/4, -z+3/4', 'y+1/4, -x+1/4, z+3/4', '-y+1/4, x+3/4, z+1/4', 'x+3/4, z+1/4, -y+1/4', '-x+1/4, z+3/4, y+1/4', '-x+3/4, -z+3/4, -y+3/4', 'x+1/4, -z+1/4, y+3/4', 'z+3/4, y+1/4, -x+1/4', 'z+1/4, -y+1/4, x+3/4', '-z+1/4, y+3/4, x+1/4', '-z+3/4, -y+3/4, -x+3/4'], ['x, y, z', '-x+1/2, -y, z+1/2', '-x, y+1/2, -z+1/2', 'x+1/2, -y+1/2, -z', 'y+3/4, x+1/4, -z+1/4', '-y+3/4, -x+3/4, -z+3/4', 'y+1/4, -x+1/4, z+3/4', '-y+1/4, x+3/4, z+1/4', 'x+1/2, y+1/2, z+1/2', '-x+1, -y+1/2, z+1', '-x+1/2, y+1, -z+1', 'x+1, -y+1, -z+1/2', 'y+5/4, x+3/4, -z+3/4', '-y+5/4, -x+5/4, -z+5/4', 'y+3/4, -x+3/4, z+5/4', '-y+3/4, x+5/4, z+3/4'], ['x, y, z', '-x+1/2, -y, z+1/2', '-x, y+1/2, -z+1/2', 'x+1/2, -y+1/2, -z', 'z, x, y', 'z+1/2, -x+1/2, -y', '-z+1/2, -x, y+1/2', '-z, x+1/2, -y+1/2', 'y, z, x', '-y, z+1/2, -x+1/2', 'y+1/2, -z+1/2, -x', '-y+1/2, -z, x+1/2'], ['x, y, z', '-x+1/2, -y, z+1/2', '-x, y+1/2, -z+1/2', 'x+1/2, -y+1/2, -z', 'z, x, y', 'z+1/2, -x+1/2, -y', '-z+1/2, -x, y+1/2', '-z, x+1/2, -y+1/2', 'y, z, x', '-y, z+1/2, -x+1/2', 'y+1/2, -z+1/2, -x', '-y+1/2, -z, x+1/2'], ['x, y, z', '-x+1/2, -y, z+1/2', '-x, y+1/2, -z+1/2', 'x+1/2, -y+1/2, -z', 'x+1/2, y+1/2, z+1/2', '-x+1, -y+1/2, z+1', '-x+1/2, y+1, -z+1', 'x+1, -y+1, -z+1/2'], ['x, y, z', '-x+1/2, -y, z+1/2', '-x, y+1/2, -z+1/2', 'x+1/2, -y+1/2, -z', 'y+3/4, x+1/4, -z+1/4', '-y+3/4, -x+3/4, -z+3/4', 'y+1/4, -x+1/4, z+3/4', '-y+1/4, x+3/4, z+1/4']]\"\n215,\"[['x, y, z', '-x, -y, z', '-x, y, -z', 'x, -y, -z', 'z, x, y', 'z, -x, -y', '-z, -x, y', '-z, x, -y', 'y, z, x', '-y, z, -x', 'y, -z, -x', '-y, -z, x', 'y, x, z', '-y, -x, z', 'y, -x, -z', '-y, x, -z', 'x, z, y', '-x, z, -y', '-x, -z, y', 'x, -z, -y', 'z, y, x', 'z, -y, -x', '-z, y, -x', '-z, -y, x'], ['x, y, z', '-x, -y, z', '-x, y, -z', 'x, -y, -z', 'z, x, y', 'z, -x, -y', '-z, -x, y', '-z, x, -y', 'y, z, x', '-y, z, -x', 'y, -z, -x', '-y, -z, x'], ['x, y, z', '-x, -y, z', 'z, x, y', 'z, -x, -y', 'y, z, x', '-y, z, -x', 'y, x, z', '-y, -x, z', 'x, z, y', '-x, z, -y', 'z, y, x', 'z, -y, -x'], ['x, y, z', '-x, -y, z', 'z, x, y', 'z, -x, -y', 'y, z, x', '-y, z, -x'], ['x, y, z', '-x, -y, z', 'z, x, y', 'z, -x, -y', 'y, z, x', '-y, z, -x'], ['x, y, z', '-x, -y, z', '-x, y, -z', 'x, -y, -z'], ['x, y, z', 'z, x, y', 'y, z, x'], ['x, y, z', 'z, x, y', 'y, z, x'], ['x, y, z'], ['x, y, z']]\"\n216,\"[['x, y, z', '-x, -y, z', '-x, y, -z', 'x, -y, -z', 'z, x, y', 'z, -x, -y', '-z, -x, y', '-z, x, -y', 'y, z, x', '-y, z, -x', 'y, -z, -x', '-y, -z, x', 'y, x, z', '-y, -x, z', 'y, -x, -z', '-y, x, -z', 'x, z, y', '-x, z, -y', '-x, -z, y', 'x, -z, -y', 'z, y, x', 'z, -y, -x', '-z, y, -x', '-z, -y, x', 'x, y+1/2, z+1/2', '-x, -y+1/2, z+1/2', '-x, y+1/2, -z+1/2', 'x, -y+1/2, -z+1/2', 'z, x+1/2, y+1/2', 'z, -x+1/2, -y+1/2', '-z, -x+1/2, y+1/2', '-z, x+1/2, -y+1/2', 'y, z+1/2, x+1/2', '-y, z+1/2, -x+1/2', 'y, -z+1/2, -x+1/2', '-y, -z+1/2, x+1/2', 'y, x+1/2, z+1/2', '-y, -x+1/2, z+1/2', 'y, -x+1/2, -z+1/2', '-y, x+1/2, -z+1/2', 'x, z+1/2, y+1/2', '-x, z+1/2, -y+1/2', '-x, -z+1/2, y+1/2', 'x, -z+1/2, -y+1/2', 'z, y+1/2, x+1/2', 'z, -y+1/2, -x+1/2', '-z, y+1/2, -x+1/2', '-z, -y+1/2, x+1/2', 'x+1/2, y, z+1/2', '-x+1/2, -y, z+1/2', '-x+1/2, y, -z+1/2', 'x+1/2, -y, -z+1/2', 'z+1/2, x, y+1/2', 'z+1/2, -x, -y+1/2', '-z+1/2, -x, y+1/2', '-z+1/2, x, -y+1/2', 'y+1/2, z, x+1/2', '-y+1/2, z, -x+1/2', 'y+1/2, -z, -x+1/2', '-y+1/2, -z, x+1/2', 'y+1/2, x, z+1/2', '-y+1/2, -x, z+1/2', 'y+1/2, -x, -z+1/2', '-y+1/2, x, -z+1/2', 'x+1/2, z, y+1/2', '-x+1/2, z, -y+1/2', '-x+1/2, -z, y+1/2', 'x+1/2, -z, -y+1/2', 'z+1/2, y, x+1/2', 'z+1/2, -y, -x+1/2', '-z+1/2, y, -x+1/2', '-z+1/2, -y, x+1/2', 'x+1/2, y+1/2, z', '-x+1/2, -y+1/2, z', '-x+1/2, y+1/2, -z', 'x+1/2, -y+1/2, -z', 'z+1/2, x+1/2, y', 'z+1/2, -x+1/2, -y', '-z+1/2, -x+1/2, y', '-z+1/2, x+1/2, -y', 'y+1/2, z+1/2, x', '-y+1/2, z+1/2, -x', 'y+1/2, -z+1/2, -x', '-y+1/2, -z+1/2, x', 'y+1/2, x+1/2, z', '-y+1/2, -x+1/2, z', 'y+1/2, -x+1/2, -z', '-y+1/2, x+1/2, -z', 'x+1/2, z+1/2, y', '-x+1/2, z+1/2, -y', '-x+1/2, -z+1/2, y', 'x+1/2, -z+1/2, -y', 'z+1/2, y+1/2, x', 'z+1/2, -y+1/2, -x', '-z+1/2, y+1/2, -x', '-z+1/2, -y+1/2, x'], ['x, y, z', '-x, -y, z', '-x, y, -z', 'x, -y, -z', 'z, x, y', 'z, -x, -y', '-z, -x, y', '-z, x, -y', 'y, z, x', '-y, z, -x', 'y, -z, -x', '-y, -z, x', 'x, y+1/2, z+1/2', '-x, -y+1/2, z+1/2', '-x, y+1/2, -z+1/2', 'x, -y+1/2, -z+1/2', 'z, x+1/2, y+1/2', 'z, -x+1/2, -y+1/2', '-z, -x+1/2, y+1/2', '-z, x+1/2, -y+1/2', 'y, z+1/2, x+1/2', '-y, z+1/2, -x+1/2', 'y, -z+1/2, -x+1/2', '-y, -z+1/2, x+1/2', 'x+1/2, y, z+1/2', '-x+1/2, -y, z+1/2', '-x+1/2, y, -z+1/2', 'x+1/2, -y, -z+1/2', 'z+1/2, x, y+1/2', 'z+1/2, -x, -y+1/2', '-z+1/2, -x, y+1/2', '-z+1/2, x, -y+1/2', 'y+1/2, z, x+1/2', '-y+1/2, z, -x+1/2', 'y+1/2, -z, -x+1/2', '-y+1/2, -z, x+1/2', 'x+1/2, y+1/2, z', '-x+1/2, -y+1/2, z', '-x+1/2, y+1/2, -z', 'x+1/2, -y+1/2, -z', 'z+1/2, x+1/2, y', 'z+1/2, -x+1/2, -y', '-z+1/2, -x+1/2, y', '-z+1/2, x+1/2, -y', 'y+1/2, z+1/2, x', '-y+1/2, z+1/2, -x', 'y+1/2, -z+1/2, -x', '-y+1/2, -z+1/2, x'], ['x, y, z', '-x, -y, z', '-x, y, -z', 'x, -y, -z', 'z, x, y', 'z, -x, -y', '-z, -x, y', '-z, x, -y', 'y, z, x', '-y, z, -x', 'y, -z, -x', '-y, -z, x', 'z, x+1/2, y+1/2', 'z, -x+1/2, -y+1/2', '-z, -x+1/2, y+1/2', '-z, x+1/2, -y+1/2', 'y, z+1/2, x+1/2', '-y, z+1/2, -x+1/2', 'y, -z+1/2, -x+1/2', '-y, -z+1/2, x+1/2', 'x+1/2, y, z+1/2', '-x+1/2, -y, z+1/2', '-x+1/2, y, -z+1/2', 'x+1/2, -y, -z+1/2'], ['x, y, z', '-x, -y, z', 'z, x, y', 'z, -x, -y', 'y, z, x', '-y, z, -x', 'x, y+1/2, z+1/2', '-x, -y+1/2, z+1/2', 'z, x+1/2, y+1/2', 'z, -x+1/2, -y+1/2', 'y, z+1/2, x+1/2', '-y, z+1/2, -x+1/2', 'x+1/2, y, z+1/2', '-x+1/2, -y, z+1/2', 'z+1/2, x, y+1/2', 'z+1/2, -x, -y+1/2', 'y+1/2, z, x+1/2', '-y+1/2, z, -x+1/2', 'x+1/2, y+1/2, z', '-x+1/2, -y+1/2, z', 'z+1/2, x+1/2, y', 'z+1/2, -x+1/2, -y', 'y+1/2, z+1/2, x', '-y+1/2, z+1/2, -x'], ['x, y, z', '-x, -y, z', '-x, y, -z', 'x, -y, -z', 'x, y+1/2, z+1/2', '-x, -y+1/2, z+1/2', '-x, y+1/2, -z+1/2', 'x, -y+1/2, -z+1/2', 'x+1/2, y, z+1/2', '-x+1/2, -y, z+1/2', '-x+1/2, y, -z+1/2', 'x+1/2, -y, -z+1/2', 'x+1/2, y+1/2, z', '-x+1/2, -y+1/2, z', '-x+1/2, y+1/2, -z', 'x+1/2, -y+1/2, -z'], ['x, y, z', '-x, -y, z', '-x, y, -z', 'x, -y, -z'], ['x, y, z', '-x, -y, z', '-x, y, -z', 'x, -y, -z'], ['x, y, z', 'x, y+1/2, z+1/2', 'x+1/2, y, z+1/2', 'x+1/2, y+1/2, z'], ['x, y, z', 'x, y+1/2, z+1/2', 'x+1/2, y, z+1/2', 'x+1/2, y+1/2, z']]\"\n217,\"[['x, y, z', '-x, -y, z', '-x, y, -z', 'x, -y, -z', 'z, x, y', 'z, -x, -y', '-z, -x, y', '-z, x, -y', 'y, z, x', '-y, z, -x', 'y, -z, -x', '-y, -z, x', 'y, x, z', '-y, -x, z', 'y, -x, -z', '-y, x, -z', 'x, z, y', '-x, z, -y', '-x, -z, y', 'x, -z, -y', 'z, y, x', 'z, -y, -x', '-z, y, -x', '-z, -y, x', 'x+1/2, y+1/2, z+1/2', '-x+1/2, -y+1/2, z+1/2', '-x+1/2, y+1/2, -z+1/2', 'x+1/2, -y+1/2, -z+1/2', 'z+1/2, x+1/2, y+1/2', 'z+1/2, -x+1/2, -y+1/2', '-z+1/2, -x+1/2, y+1/2', '-z+1/2, x+1/2, -y+1/2', 'y+1/2, z+1/2, x+1/2', '-y+1/2, z+1/2, -x+1/2', 'y+1/2, -z+1/2, -x+1/2', '-y+1/2, -z+1/2, x+1/2', 'y+1/2, x+1/2, z+1/2', '-y+1/2, -x+1/2, z+1/2', 'y+1/2, -x+1/2, -z+1/2', '-y+1/2, x+1/2, -z+1/2', 'x+1/2, z+1/2, y+1/2', '-x+1/2, z+1/2, -y+1/2', '-x+1/2, -z+1/2, y+1/2', 'x+1/2, -z+1/2, -y+1/2', 'z+1/2, y+1/2, x+1/2', 'z+1/2, -y+1/2, -x+1/2', '-z+1/2, y+1/2, -x+1/2', '-z+1/2, -y+1/2, x+1/2'], ['x, y, z', '-x, -y, z', '-x, y, -z', 'x, -y, -z', 'z, x, y', 'z, -x, -y', '-z, -x, y', '-z, x, -y', 'y, z, x', '-y, z, -x', 'y, -z, -x', '-y, -z, x', 'x+1/2, y+1/2, z+1/2', '-x+1/2, -y+1/2, z+1/2', '-x+1/2, y+1/2, -z+1/2', 'x+1/2, -y+1/2, -z+1/2', 'z+1/2, x+1/2, y+1/2', 'z+1/2, -x+1/2, -y+1/2', '-z+1/2, -x+1/2, y+1/2', '-z+1/2, x+1/2, -y+1/2', 'y+1/2, z+1/2, x+1/2', '-y+1/2, z+1/2, -x+1/2', 'y+1/2, -z+1/2, -x+1/2', '-y+1/2, -z+1/2, x+1/2'], ['x, y, z', '-x, -y, z', 'z, x, y', 'z, -x, -y', 'y, z, x', '-y, z, -x', 'y, x, z', '-y, -x, z', 'x, z, y', '-x, z, -y', 'z, y, x', 'z, -y, -x', 'x+1/2, y+1/2, z+1/2', '-x+1/2, -y+1/2, z+1/2', 'z+1/2, x+1/2, y+1/2', 'z+1/2, -x+1/2, -y+1/2', 'y+1/2, z+1/2, x+1/2', '-y+1/2, z+1/2, -x+1/2', 'y+1/2, x+1/2, z+1/2', '-y+1/2, -x+1/2, z+1/2', 'x+1/2, z+1/2, y+1/2', '-x+1/2, z+1/2, -y+1/2', 'z+1/2, y+1/2, x+1/2', 'z+1/2, -y+1/2, -x+1/2'], ['x, y, z', '-x, -y, z', 'z, x, y', 'z, -x, -y', 'y, z, x', '-y, z, -x', 'x+1/2, y+1/2, z+1/2', '-x+1/2, -y+1/2, z+1/2', 'z+1/2, x+1/2, y+1/2', 'z+1/2, -x+1/2, -y+1/2', 'y+1/2, z+1/2, x+1/2', '-y+1/2, z+1/2, -x+1/2'], ['x, y, z', '-x, -y, z', 'z, x, y', 'z, -x, -y', 'y, z, x', '-y, z, -x', 'y, x, z', '-y, -x, z', 'x, z, y', '-x, z, -y', 'z, y, x', 'z, -y, -x'], ['x, y, z', '-x, -y, z', '-x, y, -z', 'x, -y, -z', 'x+1/2, y+1/2, z+1/2', '-x+1/2, -y+1/2, z+1/2', '-x+1/2, y+1/2, -z+1/2', 'x+1/2, -y+1/2, -z+1/2'], ['x, y, z', 'z, x, y', 'y, z, x', 'x+1/2, y+1/2, z+1/2', 'z+1/2, x+1/2, y+1/2', 'y+1/2, z+1/2, x+1/2'], ['x, y, z', 'x+1/2, y+1/2, z+1/2']]\"\n218,\"[['x, y, z', '-x, -y, z', '-x, y, -z', 'x, -y, -z', 'z, x, y', 'z, -x, -y', '-z, -x, y', '-z, x, -y', 'y, z, x', '-y, z, -x', 'y, -z, -x', '-y, -z, x', 'y+1/2, x+1/2, z+1/2', '-y+1/2, -x+1/2, z+1/2', 'y+1/2, -x+1/2, -z+1/2', '-y+1/2, x+1/2, -z+1/2', 'x+1/2, z+1/2, y+1/2', '-x+1/2, z+1/2, -y+1/2', '-x+1/2, -z+1/2, y+1/2', 'x+1/2, -z+1/2, -y+1/2', 'z+1/2, y+1/2, x+1/2', 'z+1/2, -y+1/2, -x+1/2', '-z+1/2, y+1/2, -x+1/2', '-z+1/2, -y+1/2, x+1/2'], ['x, y, z', '-x, -y, z', 'z, x, y', 'z, -x, -y', 'y, z, x', '-y, z, -x', 'y+1/2, x+1/2, z+1/2', '-y+1/2, -x+1/2, z+1/2', 'x+1/2, z+1/2, y+1/2', '-x+1/2, z+1/2, -y+1/2', 'z+1/2, y+1/2, x+1/2', 'z+1/2, -y+1/2, -x+1/2'], ['x, y, z', '-x, -y, z', 'z, x, y', 'z, -x, -y', 'y, z, x', '-y, z, -x', 'y+1/2, x+1/2, z+1/2', '-y+1/2, -x+1/2, z+1/2', 'x+1/2, z+1/2, y+1/2', '-x+1/2, z+1/2, -y+1/2', 'z+1/2, y+1/2, x+1/2', 'z+1/2, -y+1/2, -x+1/2'], ['x, y, z', '-x, -y, z', 'z, x, y', 'z, -x, -y', 'y, z, x', '-y, z, -x', 'y+1/2, x+1/2, z+1/2', '-y+1/2, -x+1/2, z+1/2', 'x+1/2, z+1/2, y+1/2', '-x+1/2, z+1/2, -y+1/2', 'z+1/2, y+1/2, x+1/2', 'z+1/2, -y+1/2, -x+1/2'], ['x, y, z', '-x, -y, z', '-x, y, -z', 'x, -y, -z', 'y+1/2, x+1/2, z+1/2', '-y+1/2, -x+1/2, z+1/2', 'y+1/2, -x+1/2, -z+1/2', '-y+1/2, x+1/2, -z+1/2'], ['x, y, z', '-x, -y, z', 'z, x, y', 'z, -x, -y', 'y, z, x', '-y, z, -x'], ['x, y, z', '-x, -y, z', 'z, x, y', 'z, -x, -y', 'y, z, x', '-y, z, -x'], ['x, y, z', 'z, x, y', 'y, z, x', 'y+1/2, x+1/2, z+1/2', 'x+1/2, z+1/2, y+1/2', 'z+1/2, y+1/2, x+1/2'], ['x, y, z', 'y+1/2, x+1/2, z+1/2']]\"\n219,\"[['x, y, z', '-x, -y, z', '-x, y, -z', 'x, -y, -z', 'z, x, y', 'z, -x, -y', '-z, -x, y', '-z, x, -y', 'y, z, x', '-y, z, -x', 'y, -z, -x', '-y, -z, x', 'y+1/2, x+1/2, z+1/2', '-y+1/2, -x+1/2, z+1/2', 'y+1/2, -x+1/2, -z+1/2', '-y+1/2, x+1/2, -z+1/2', 'x+1/2, z+1/2, y+1/2', '-x+1/2, z+1/2, -y+1/2', '-x+1/2, -z+1/2, y+1/2', 'x+1/2, -z+1/2, -y+1/2', 'z+1/2, y+1/2, x+1/2', 'z+1/2, -y+1/2, -x+1/2', '-z+1/2, y+1/2, -x+1/2', '-z+1/2, -y+1/2, x+1/2', 'x, y+1/2, z+1/2', '-x, -y+1/2, z+1/2', '-x, y+1/2, -z+1/2', 'x, -y+1/2, -z+1/2', 'z, x+1/2, y+1/2', 'z, -x+1/2, -y+1/2', '-z, -x+1/2, y+1/2', '-z, x+1/2, -y+1/2', 'y, z+1/2, x+1/2', '-y, z+1/2, -x+1/2', 'y, -z+1/2, -x+1/2', '-y, -z+1/2, x+1/2', 'y+1/2, x+1, z+1', '-y+1/2, -x+1, z+1', 'y+1/2, -x+1, -z+1', '-y+1/2, x+1, -z+1', 'x+1/2, z+1, y+1', '-x+1/2, z+1, -y+1', '-x+1/2, -z+1, y+1', 'x+1/2, -z+1, -y+1', 'z+1/2, y+1, x+1', 'z+1/2, -y+1, -x+1', '-z+1/2, y+1, -x+1', '-z+1/2, -y+1, x+1', 'x+1/2, y, z+1/2', '-x+1/2, -y, z+1/2', '-x+1/2, y, -z+1/2', 'x+1/2, -y, -z+1/2', 'z+1/2, x, y+1/2', 'z+1/2, -x, -y+1/2', '-z+1/2, -x, y+1/2', '-z+1/2, x, -y+1/2', 'y+1/2, z, x+1/2', '-y+1/2, z, -x+1/2', 'y+1/2, -z, -x+1/2', '-y+1/2, -z, x+1/2', 'y+1, x+1/2, z+1', '-y+1, -x+1/2, z+1', 'y+1, -x+1/2, -z+1', '-y+1, x+1/2, -z+1', 'x+1, z+1/2, y+1', '-x+1, z+1/2, -y+1', '-x+1, -z+1/2, y+1', 'x+1, -z+1/2, -y+1', 'z+1, y+1/2, x+1', 'z+1, -y+1/2, -x+1', '-z+1, y+1/2, -x+1', '-z+1, -y+1/2, x+1', 'x+1/2, y+1/2, z', '-x+1/2, -y+1/2, z', '-x+1/2, y+1/2, -z', 'x+1/2, -y+1/2, -z', 'z+1/2, x+1/2, y', 'z+1/2, -x+1/2, -y', '-z+1/2, -x+1/2, y', '-z+1/2, x+1/2, -y', 'y+1/2, z+1/2, x', '-y+1/2, z+1/2, -x', 'y+1/2, -z+1/2, -x', '-y+1/2, -z+1/2, x', 'y+1, x+1, z+1/2', '-y+1, -x+1, z+1/2', 'y+1, -x+1, -z+1/2', '-y+1, x+1, -z+1/2', 'x+1, z+1, y+1/2', '-x+1, z+1, -y+1/2', '-x+1, -z+1, y+1/2', 'x+1, -z+1, -y+1/2', 'z+1, y+1, x+1/2', 'z+1, -y+1, -x+1/2', '-z+1, y+1, -x+1/2', '-z+1, -y+1, x+1/2'], ['x, y, z', '-x, -y, z', '-x, y, -z', 'x, -y, -z', 'z, x, y', 'z, -x, -y', '-z, -x, y', '-z, x, -y', 'y, z, x', '-y, z, -x', 'y, -z, -x', '-y, -z, x', 'y+1/2, x+1/2, z+1/2', '-y+1/2, -x+1/2, z+1/2', 'y+1/2, -x+1/2, -z+1/2', '-y+1/2, x+1/2, -z+1/2', 'x+1/2, z+1/2, y+1/2', '-x+1/2, z+1/2, -y+1/2', '-x+1/2, -z+1/2, y+1/2', 'x+1/2, -z+1/2, -y+1/2', 'z+1/2, y+1/2, x+1/2', 'z+1/2, -y+1/2, -x+1/2', '-z+1/2, y+1/2, -x+1/2', '-z+1/2, -y+1/2, x+1/2', 'z, x+1/2, y+1/2', 'z, -x+1/2, -y+1/2', '-z, -x+1/2, y+1/2', '-z, x+1/2, -y+1/2', 'y, z+1/2, x+1/2', '-y, z+1/2, -x+1/2', 'y, -z+1/2, -x+1/2', '-y, -z+1/2, x+1/2', 'y+1/2, x+1, z+1', '-y+1/2, -x+1, z+1', 'y+1/2, -x+1, -z+1', '-y+1/2, x+1, -z+1', 'z+1/2, y+1, x+1', 'z+1/2, -y+1, -x+1', '-z+1/2, y+1, -x+1', '-z+1/2, -y+1, x+1', 'x+1/2, y, z+1/2', '-x+1/2, -y, z+1/2', '-x+1/2, y, -z+1/2', 'x+1/2, -y, -z+1/2', 'x+1, z+1/2, y+1', '-x+1, z+1/2, -y+1', '-x+1, -z+1/2, y+1', 'x+1, -z+1/2, -y+1'], ['x, y, z', '-x, -y, z', 'z, x, y', 'z, -x, -y', 'y, z, x', '-y, z, -x', 'y+1/2, x+1/2, z+1/2', '-y+1/2, -x+1/2, z+1/2', 'x+1/2, z+1/2, y+1/2', '-x+1/2, z+1/2, -y+1/2', 'z+1/2, y+1/2, x+1/2', 'z+1/2, -y+1/2, -x+1/2', 'x, y+1/2, z+1/2', '-x, -y+1/2, z+1/2', 'z, x+1/2, y+1/2', 'z, -x+1/2, -y+1/2', 'y, z+1/2, x+1/2', '-y, z+1/2, -x+1/2', 'y+1/2, x+1, z+1', '-y+1/2, -x+1, z+1', 'x+1/2, z+1, y+1', '-x+1/2, z+1, -y+1', 'z+1/2, y+1, x+1', 'z+1/2, -y+1, -x+1', 'x+1/2, y, z+1/2', '-x+1/2, -y, z+1/2', 'z+1/2, x, y+1/2', 'z+1/2, -x, -y+1/2', 'y+1/2, z, x+1/2', '-y+1/2, z, -x+1/2', 'y+1, x+1/2, z+1', '-y+1, -x+1/2, z+1', 'x+1, z+1/2, y+1', '-x+1, z+1/2, -y+1', 'z+1, y+1/2, x+1', 'z+1, -y+1/2, -x+1', 'x+1/2, y+1/2, z', '-x+1/2, -y+1/2, z', 'z+1/2, x+1/2, y', 'z+1/2, -x+1/2, -y', 'y+1/2, z+1/2, x', '-y+1/2, z+1/2, -x', 'y+1, x+1, z+1/2', '-y+1, -x+1, z+1/2', 'x+1, z+1, y+1/2', '-x+1, z+1, -y+1/2', 'z+1, y+1, x+1/2', 'z+1, -y+1, -x+1/2'], ['x, y, z', '-x, -y, z', '-x, y, -z', 'x, -y, -z', 'y+1/2, x+1/2, z+1/2', '-y+1/2, -x+1/2, z+1/2', 'y+1/2, -x+1/2, -z+1/2', '-y+1/2, x+1/2, -z+1/2', 'x, y+1/2, z+1/2', '-x, -y+1/2, z+1/2', '-x, y+1/2, -z+1/2', 'x, -y+1/2, -z+1/2', 'y+1/2, x+1, z+1', '-y+1/2, -x+1, z+1', 'y+1/2, -x+1, -z+1', '-y+1/2, x+1, -z+1', 'x+1/2, y, z+1/2', '-x+1/2, -y, z+1/2', '-x+1/2, y, -z+1/2', 'x+1/2, -y, -z+1/2', 'y+1, x+1/2, z+1', '-y+1, -x+1/2, z+1', 'y+1, -x+1/2, -z+1', '-y+1, x+1/2, -z+1', 'x+1/2, y+1/2, z', '-x+1/2, -y+1/2, z', '-x+1/2, y+1/2, -z', 'x+1/2, -y+1/2, -z', 'y+1, x+1, z+1/2', '-y+1, -x+1, z+1/2', 'y+1, -x+1, -z+1/2', '-y+1, x+1, -z+1/2'], ['x, y, z', '-x, -y, z', 'z, x, y', 'z, -x, -y', 'y, z, x', '-y, z, -x', 'y+1/2, x+1/2, z+1/2', '-y+1/2, -x+1/2, z+1/2', 'x+1/2, z+1/2, y+1/2', '-x+1/2, z+1/2, -y+1/2', 'z+1/2, y+1/2, x+1/2', 'z+1/2, -y+1/2, -x+1/2', 'z, x+1/2, y+1/2', 'z, -x+1/2, -y+1/2', 'y, z+1/2, x+1/2', '-y, z+1/2, -x+1/2', 'y+1/2, x+1, z+1', '-y+1/2, -x+1, z+1', 'z+1/2, y+1, x+1', 'z+1/2, -y+1, -x+1', 'x+1/2, y, z+1/2', '-x+1/2, -y, z+1/2', 'x+1, z+1/2, y+1', '-x+1, z+1/2, -y+1'], ['x, y, z', '-x, -y, z', '-x, y, -z', 'x, -y, -z', 'z, x, y', 'z, -x, -y', '-z, -x, y', '-z, x, -y', 'y, z, x', '-y, z, -x', 'y, -z, -x', '-y, -z, x', 'y+1/2, x+1/2, z+1/2', '-y+1/2, -x+1/2, z+1/2', 'y+1/2, -x+1/2, -z+1/2', '-y+1/2, x+1/2, -z+1/2', 'x+1/2, z+1/2, y+1/2', '-x+1/2, z+1/2, -y+1/2', '-x+1/2, -z+1/2, y+1/2', 'x+1/2, -z+1/2, -y+1/2', 'z+1/2, y+1/2, x+1/2', 'z+1/2, -y+1/2, -x+1/2', '-z+1/2, y+1/2, -x+1/2', '-z+1/2, -y+1/2, x+1/2'], ['x, y, z', '-x, -y, z', '-x, y, -z', 'x, -y, -z', 'y+1/2, x+1/2, z+1/2', '-y+1/2, -x+1/2, z+1/2', 'y+1/2, -x+1/2, -z+1/2', '-y+1/2, x+1/2, -z+1/2'], ['x, y, z', 'y+1/2, x+1/2, z+1/2', 'x, y+1/2, z+1/2', 'y+1/2, x+1, z+1', 'x+1/2, y, z+1/2', 'y+1, x+1/2, z+1', 'x+1/2, y+1/2, z', 'y+1, x+1, z+1/2']]\"\n220,\"[['x, y, z', '-x+1/2, -y, z+1/2', '-x, y+1/2, -z+1/2', 'x+1/2, -y+1/2, -z', 'z, x, y', 'z+1/2, -x+1/2, -y', '-z+1/2, -x, y+1/2', '-z, x+1/2, -y+1/2', 'y, z, x', '-y, z+1/2, -x+1/2', 'y+1/2, -z+1/2, -x', '-y+1/2, -z, x+1/2', 'y+1/4, x+1/4, z+1/4', '-y+1/4, -x+3/4, z+3/4', 'y+3/4, -x+1/4, -z+3/4', '-y+3/4, x+3/4, -z+1/4', 'x+1/4, z+1/4, y+1/4', '-x+3/4, z+3/4, -y+1/4', '-x+1/4, -z+3/4, y+3/4', 'x+3/4, -z+1/4, -y+3/4', 'z+1/4, y+1/4, x+1/4', 'z+3/4, -y+1/4, -x+3/4', '-z+3/4, y+3/4, -x+1/4', '-z+1/4, -y+3/4, x+3/4', 'x+1/2, y+1/2, z+1/2', '-x+1, -y+1/2, z+1', '-x+1/2, y+1, -z+1', 'x+1, -y+1, -z+1/2', 'z+1/2, x+1/2, y+1/2', 'z+1, -x+1, -y+1/2', '-z+1, -x+1/2, y+1', '-z+1/2, x+1, -y+1', 'y+1/2, z+1/2, x+1/2', '-y+1/2, z+1, -x+1', 'y+1, -z+1, -x+1/2', '-y+1, -z+1/2, x+1', 'y+3/4, x+3/4, z+3/4', '-y+3/4, -x+5/4, z+5/4', 'y+5/4, -x+3/4, -z+5/4', '-y+5/4, x+5/4, -z+3/4', 'x+3/4, z+3/4, y+3/4', '-x+5/4, z+5/4, -y+3/4', '-x+3/4, -z+5/4, y+5/4', 'x+5/4, -z+3/4, -y+5/4', 'z+3/4, y+3/4, x+3/4', 'z+5/4, -y+3/4, -x+5/4', '-z+5/4, y+5/4, -x+3/4', '-z+3/4, -y+5/4, x+5/4'], ['x, y, z', '-x+1/2, -y, z+1/2', '-x, y+1/2, -z+1/2', 'x+1/2, -y+1/2, -z', 'z, x, y', 'z+1/2, -x+1/2, -y', '-z+1/2, -x, y+1/2', '-z, x+1/2, -y+1/2', 'y, z, x', '-y, z+1/2, -x+1/2', 'y+1/2, -z+1/2, -x', '-y+1/2, -z, x+1/2', 'y+1/4, x+1/4, z+1/4', '-y+1/4, -x+3/4, z+3/4', 'y+3/4, -x+1/4, -z+3/4', '-y+3/4, x+3/4, -z+1/4', 'x+1/4, z+1/4, y+1/4', '-x+3/4, z+3/4, -y+1/4', '-x+1/4, -z+3/4, y+3/4', 'x+3/4, -z+1/4, -y+3/4', 'z+1/4, y+1/4, x+1/4', 'z+3/4, -y+1/4, -x+3/4', '-z+3/4, y+3/4, -x+1/4', '-z+1/4, -y+3/4, x+3/4'], ['x, y, z', '-x+1/2, -y, z+1/2', '-x, y+1/2, -z+1/2', 'x+1/2, -y+1/2, -z', 'y+1/4, x+1/4, z+1/4', '-y+1/4, -x+3/4, z+3/4', 'y+3/4, -x+1/4, -z+3/4', '-y+3/4, x+3/4, -z+1/4', 'x+1/2, y+1/2, z+1/2', '-x+1, -y+1/2, z+1', '-x+1/2, y+1, -z+1', 'x+1, -y+1, -z+1/2', 'y+3/4, x+3/4, z+3/4', '-y+3/4, -x+5/4, z+5/4', 'y+5/4, -x+3/4, -z+5/4', '-y+5/4, x+5/4, -z+3/4'], ['x, y, z', '-x+1/2, -y, z+1/2', '-x, y+1/2, -z+1/2', 'x+1/2, -y+1/2, -z', 'z, x, y', 'z+1/2, -x+1/2, -y', '-z+1/2, -x, y+1/2', '-z, x+1/2, -y+1/2', 'y, z, x', '-y, z+1/2, -x+1/2', 'y+1/2, -z+1/2, -x', '-y+1/2, -z, x+1/2'], ['x, y, z', '-x+1/2, -y, z+1/2', '-x, y+1/2, -z+1/2', 'x+1/2, -y+1/2, -z', 'z, x, y', 'z+1/2, -x+1/2, -y', '-z+1/2, -x, y+1/2', '-z, x+1/2, -y+1/2', 'y, z, x', '-y, z+1/2, -x+1/2', 'y+1/2, -z+1/2, -x', '-y+1/2, -z, x+1/2']]\"\n221,\"[['x, y, z', '-x, -y, z', '-x, y, -z', 'x, -y, -z', 'z, x, y', 'z, -x, -y', '-z, -x, y', '-z, x, -y', 'y, z, x', '-y, z, -x', 'y, -z, -x', '-y, -z, x', 'y, x, -z', '-y, -x, -z', 'y, -x, z', '-y, x, z', 'x, z, -y', '-x, z, y', '-x, -z, -y', 'x, -z, y', 'z, y, -x', 'z, -y, x', '-z, y, x', '-z, -y, -x', '-x, -y, -z', 'x, y, -z', 'x, -y, z', '-x, y, z', '-z, -x, -y', '-z, x, y', 'z, x, -y', 'z, -x, y', '-y, -z, -x', 'y, -z, x', '-y, z, x', 'y, z, -x', '-y, -x, z', 'y, x, z', '-y, x, -z', 'y, -x, -z', '-x, -z, y', 'x, -z, -y', 'x, z, y', '-x, z, -y', '-z, -y, x', '-z, y, -x', 'z, -y, -x', 'z, y, x'], ['x, y, z', '-x, -y, z', '-x, y, -z', 'x, -y, -z', 'z, x, y', 'z, -x, -y', '-z, -x, y', '-z, x, -y', 'y, z, x', '-y, z, -x', 'y, -z, -x', '-y, -z, x', 'y, x, -z', '-y, -x, -z', 'y, -x, z', '-y, x, z', 'x, z, -y', '-x, z, y', '-x, -z, -y', 'x, -z, y', 'z, y, -x', 'z, -y, x', '-z, y, x', '-z, -y, -x'], ['x, y, z', '-x, -y, z', '-x, y, -z', 'x, -y, -z', 'z, x, y', 'z, -x, -y', '-z, -x, y', '-z, x, -y', 'y, z, x', '-y, z, -x', 'y, -z, -x', '-y, -z, x', 'y, x, -z', '-y, -x, -z', 'y, -x, z', '-y, x, z', 'x, z, -y', '-x, z, y', '-x, -z, -y', 'x, -z, y', 'z, y, -x', 'z, -y, x', '-z, y, x', '-z, -y, -x'], ['x, y, z', '-x, -y, z', '-x, y, -z', 'x, -y, -z', 'z, x, y', 'z, -x, -y', '-z, -x, y', '-z, x, -y', 'y, z, x', '-y, z, -x', 'y, -z, -x', '-y, -z, x', 'y, x, -z', '-y, -x, -z', 'y, -x, z', '-y, x, z', 'x, z, -y', '-x, z, y', '-x, -z, -y', 'x, -z, y', 'z, y, -x', 'z, -y, x', '-z, y, x', '-z, -y, -x'], ['x, y, z', '-x, -y, z', '-x, y, -z', 'x, -y, -z', 'z, x, y', 'z, -x, -y', '-z, -x, y', '-z, x, -y', 'y, z, x', '-y, z, -x', 'y, -z, -x', '-y, -z, x'], ['x, y, z', '-x, -y, z', '-x, y, -z', 'x, -y, -z', 'z, x, y', 'z, -x, -y', '-z, -x, y', '-z, x, -y', 'y, z, x', '-y, z, -x', 'y, -z, -x', '-y, -z, x'], ['x, y, z', '-x, -y, z', 'z, x, y', 'z, -x, -y', 'y, z, x', '-y, z, -x', 'y, x, -z', '-y, -x, -z', 'x, z, -y', '-x, z, y', 'z, y, -x', 'z, -y, x'], ['x, y, z', '-x, -y, z', '-x, y, -z', 'x, -y, -z', 'y, x, -z', '-y, -x, -z', 'y, -x, z', '-y, x, z'], ['x, y, z', '-x, -y, z', 'z, x, y', 'z, -x, -y', 'y, z, x', '-y, z, -x'], ['x, y, z', '-x, -y, z', 'z, x, y', 'z, -x, -y', 'y, z, x', '-y, z, -x'], ['x, y, z', 'z, x, y', 'y, z, x'], ['x, y, z', 'z, x, y', 'y, z, x'], ['x, y, z'], ['x, y, z']]\"\n222,\"[['x, y, z', '-x+1/2, -y+1/2, z', '-x+1/2, y, -z+1/2', 'x, -y+1/2, -z+1/2', 'z, x, y', 'z, -x+1/2, -y+1/2', '-z+1/2, -x+1/2, y', '-z+1/2, x, -y+1/2', 'y, z, x', '-y+1/2, z, -x+1/2', 'y, -z+1/2, -x+1/2', '-y+1/2, -z+1/2, x', 'y, x, -z+1/2', '-y+1/2, -x+1/2, -z+1/2', 'y, -x+1/2, z', '-y+1/2, x, z', 'x, z, -y+1/2', '-x+1/2, z, y', '-x+1/2, -z+1/2, -y+1/2', 'x, -z+1/2, y', 'z, y, -x+1/2', 'z, -y+1/2, x', '-z+1/2, y, x', '-z+1/2, -y+1/2, -x+1/2', '-x, -y, -z', 'x+1/2, y+1/2, -z', 'x+1/2, -y, z+1/2', '-x, y+1/2, z+1/2', '-z, -x, -y', '-z, x+1/2, y+1/2', 'z+1/2, x+1/2, -y', 'z+1/2, -x, y+1/2', '-y, -z, -x', 'y+1/2, -z, x+1/2', '-y, z+1/2, x+1/2', 'y+1/2, z+1/2, -x', '-y, -x, z+1/2', 'y+1/2, x+1/2, z+1/2', '-y, x+1/2, -z', 'y+1/2, -x, -z', '-x, -z, y+1/2', 'x+1/2, -z, -y', 'x+1/2, z+1/2, y+1/2', '-x, z+1/2, -y', '-z, -y, x+1/2', '-z, y+1/2, -x', 'z+1/2, -y, -x', 'z+1/2, y+1/2, x+1/2'], ['x, y, z', '-x+1/2, -y+1/2, z', '-x+1/2, y, -z+1/2', 'x, -y+1/2, -z+1/2', 'z, x, y', 'z, -x+1/2, -y+1/2', '-z+1/2, -x+1/2, y', '-z+1/2, x, -y+1/2', 'y, z, x', '-y+1/2, z, -x+1/2', 'y, -z+1/2, -x+1/2', '-y+1/2, -z+1/2, x', '-x, -y, -z', 'x+1/2, y+1/2, -z', 'x+1/2, -y, z+1/2', '-x, y+1/2, z+1/2', '-z, -x, -y', '-z, x+1/2, y+1/2', 'z+1/2, x+1/2, -y', 'z+1/2, -x, y+1/2', '-y, -z, -x', 'y+1/2, -z, x+1/2', '-y, z+1/2, x+1/2', 'y+1/2, z+1/2, -x'], ['x, y, z', '-x+1/2, -y+1/2, z', 'z, x, y', 'z, -x+1/2, -y+1/2', 'y, z, x', '-y+1/2, z, -x+1/2', 'y, x, -z+1/2', '-y+1/2, -x+1/2, -z+1/2', 'x, z, -y+1/2', '-x+1/2, z, y', 'z, y, -x+1/2', 'z, -y+1/2, x', '-x, -y, -z', 'x+1/2, y+1/2, -z', '-z, -x, -y', '-z, x+1/2, y+1/2', '-y, -z, -x', 'y+1/2, -z, x+1/2', '-y, -x, z+1/2', 'y+1/2, x+1/2, z+1/2', '-x, -z, y+1/2', 'x+1/2, -z, -y', '-z, -y, x+1/2', '-z, y+1/2, -x'], ['x, y, z', '-x+1/2, -y+1/2, z', '-x+1/2, y, -z+1/2', 'x, -y+1/2, -z+1/2', 'y, x, -z+1/2', '-y+1/2, -x+1/2, -z+1/2', 'y, -x+1/2, z', '-y+1/2, x, z', '-x, -y, -z', 'x+1/2, y+1/2, -z', 'x+1/2, -y, z+1/2', '-x, y+1/2, z+1/2', '-y, -x, z+1/2', 'y+1/2, x+1/2, z+1/2', '-y, x+1/2, -z', 'y+1/2, -x, -z'], ['x, y, z', '-x+1/2, -y+1/2, z', 'z, x, y', 'z, -x+1/2, -y+1/2', 'y, z, x', '-y+1/2, z, -x+1/2', '-x, -y, -z', 'x+1/2, y+1/2, -z', '-z, -x, -y', '-z, x+1/2, y+1/2', '-y, -z, -x', 'y+1/2, -z, x+1/2'], ['x, y, z', '-x+1/2, -y+1/2, z', 'z, x, y', 'z, -x+1/2, -y+1/2', 'y, z, x', '-y+1/2, z, -x+1/2', 'y, x, -z+1/2', '-y+1/2, -x+1/2, -z+1/2', 'x, z, -y+1/2', '-x+1/2, z, y', 'z, y, -x+1/2', 'z, -y+1/2, x'], ['x, y, z', '-x+1/2, -y+1/2, z', '-x+1/2, y, -z+1/2', 'x, -y+1/2, -z+1/2', 'y, x, -z+1/2', '-y+1/2, -x+1/2, -z+1/2', 'y, -x+1/2, z', '-y+1/2, x, z'], ['x, y, z', 'z, x, y', 'y, z, x', '-x, -y, -z', '-z, -x, -y', '-y, -z, -x'], ['x, y, z', '-x, -y, -z']]\"\n223,\"[['x, y, z', '-x, -y, z', '-x, y, -z', 'x, -y, -z', 'z, x, y', 'z, -x, -y', '-z, -x, y', '-z, x, -y', 'y, z, x', '-y, z, -x', 'y, -z, -x', '-y, -z, x', 'y+1/2, x+1/2, -z+1/2', '-y+1/2, -x+1/2, -z+1/2', 'y+1/2, -x+1/2, z+1/2', '-y+1/2, x+1/2, z+1/2', 'x+1/2, z+1/2, -y+1/2', '-x+1/2, z+1/2, y+1/2', '-x+1/2, -z+1/2, -y+1/2', 'x+1/2, -z+1/2, y+1/2', 'z+1/2, y+1/2, -x+1/2', 'z+1/2, -y+1/2, x+1/2', '-z+1/2, y+1/2, x+1/2', '-z+1/2, -y+1/2, -x+1/2', '-x, -y, -z', 'x, y, -z', 'x, -y, z', '-x, y, z', '-z, -x, -y', '-z, x, y', 'z, x, -y', 'z, -x, y', '-y, -z, -x', 'y, -z, x', '-y, z, x', 'y, z, -x', '-y+1/2, -x+1/2, z+1/2', 'y+1/2, x+1/2, z+1/2', '-y+1/2, x+1/2, -z+1/2', 'y+1/2, -x+1/2, -z+1/2', '-x+1/2, -z+1/2, y+1/2', 'x+1/2, -z+1/2, -y+1/2', 'x+1/2, z+1/2, y+1/2', '-x+1/2, z+1/2, -y+1/2', '-z+1/2, -y+1/2, x+1/2', '-z+1/2, y+1/2, -x+1/2', 'z+1/2, -y+1/2, -x+1/2', 'z+1/2, y+1/2, x+1/2'], ['x, y, z', '-x, -y, z', '-x, y, -z', 'x, -y, -z', 'z, x, y', 'z, -x, -y', '-z, -x, y', '-z, x, -y', 'y, z, x', '-y, z, -x', 'y, -z, -x', '-y, -z, x', 'y+1/2, x+1/2, -z+1/2', '-y+1/2, -x+1/2, -z+1/2', 'y+1/2, -x+1/2, z+1/2', '-y+1/2, x+1/2, z+1/2', 'x+1/2, z+1/2, -y+1/2', '-x+1/2, z+1/2, y+1/2', '-x+1/2, -z+1/2, -y+1/2', 'x+1/2, -z+1/2, y+1/2', 'z+1/2, y+1/2, -x+1/2', 'z+1/2, -y+1/2, x+1/2', '-z+1/2, y+1/2, x+1/2', '-z+1/2, -y+1/2, -x+1/2'], ['x, y, z', '-x, -y, z', '-x, y, -z', 'x, -y, -z', 'z, x, y', 'z, -x, -y', '-z, -x, y', '-z, x, -y', 'y, z, x', '-y, z, -x', 'y, -z, -x', '-y, -z, x', '-x, -y, -z', 'x, y, -z', 'x, -y, z', '-x, y, z', '-z, -x, -y', '-z, x, y', 'z, x, -y', 'z, -x, y', '-y, -z, -x', 'y, -z, x', '-y, z, x', 'y, z, -x'], ['x, y, z', '-x, -y, z', '-x, y, -z', 'x, -y, -z', 'y+1/2, x+1/2, -z+1/2', '-y+1/2, -x+1/2, -z+1/2', 'y+1/2, -x+1/2, z+1/2', '-y+1/2, x+1/2, z+1/2', '-x, -y, -z', 'x, y, -z', 'x, -y, z', '-x, y, z', '-y+1/2, -x+1/2, z+1/2', 'y+1/2, x+1/2, z+1/2', '-y+1/2, x+1/2, -z+1/2', 'y+1/2, -x+1/2, -z+1/2'], ['x, y, z', '-x, -y, z', 'z, x, y', 'z, -x, -y', 'y, z, x', '-y, z, -x', 'y+1/2, x+1/2, -z+1/2', '-y+1/2, -x+1/2, -z+1/2', 'x+1/2, z+1/2, -y+1/2', '-x+1/2, z+1/2, y+1/2', 'z+1/2, y+1/2, -x+1/2', 'z+1/2, -y+1/2, x+1/2'], ['x, y, z', '-x, -y, z', 'z, x, y', 'z, -x, -y', 'y, z, x', '-y, z, -x', 'y+1/2, x+1/2, -z+1/2', '-y+1/2, -x+1/2, -z+1/2', 'x+1/2, z+1/2, -y+1/2', '-x+1/2, z+1/2, y+1/2', 'z+1/2, y+1/2, -x+1/2', 'z+1/2, -y+1/2, x+1/2'], ['x, y, z', '-x, -y, z', 'z, x, y', 'z, -x, -y', 'y, z, x', '-y, z, -x', 'y+1/2, x+1/2, -z+1/2', '-y+1/2, -x+1/2, -z+1/2', 'x+1/2, z+1/2, -y+1/2', '-x+1/2, z+1/2, y+1/2', 'z+1/2, y+1/2, -x+1/2', 'z+1/2, -y+1/2, x+1/2'], ['x, y, z', '-x, -y, z', '-x, y, -z', 'x, -y, -z', '-x, -y, -z', 'x, y, -z', 'x, -y, z', '-x, y, z'], ['x, y, z', '-x, -y, z', 'z, x, y', 'z, -x, -y', 'y, z, x', '-y, z, -x'], ['x, y, z', '-x, -y, z', 'z, x, y', 'z, -x, -y', 'y, z, x', '-y, z, -x'], ['x, y, z', 'z, x, y', 'y, z, x', 'y+1/2, x+1/2, -z+1/2', 'x+1/2, z+1/2, -y+1/2', 'z+1/2, y+1/2, -x+1/2'], ['x, y, z', 'y+1/2, x+1/2, -z+1/2']]\"\n224,\"[['x, y, z', '-x+1/2, -y+1/2, z', '-x+1/2, y, -z+1/2', 'x, -y+1/2, -z+1/2', 'z, x, y', 'z, -x+1/2, -y+1/2', '-z+1/2, -x+1/2, y', '-z+1/2, x, -y+1/2', 'y, z, x', '-y+1/2, z, -x+1/2', 'y, -z+1/2, -x+1/2', '-y+1/2, -z+1/2, x', 'y+1/2, x+1/2, -z', '-y, -x, -z', 'y+1/2, -x, z+1/2', '-y, x+1/2, z+1/2', 'x+1/2, z+1/2, -y', '-x, z+1/2, y+1/2', '-x, -z, -y', 'x+1/2, -z, y+1/2', 'z+1/2, y+1/2, -x', 'z+1/2, -y, x+1/2', '-z, y+1/2, x+1/2', '-z, -y, -x', '-x, -y, -z', 'x+1/2, y+1/2, -z', 'x+1/2, -y, z+1/2', '-x, y+1/2, z+1/2', '-z, -x, -y', '-z, x+1/2, y+1/2', 'z+1/2, x+1/2, -y', 'z+1/2, -x, y+1/2', '-y, -z, -x', 'y+1/2, -z, x+1/2', '-y, z+1/2, x+1/2', 'y+1/2, z+1/2, -x', '-y+1/2, -x+1/2, z', 'y, x, z', '-y+1/2, x, -z+1/2', 'y, -x+1/2, -z+1/2', '-x+1/2, -z+1/2, y', 'x, -z+1/2, -y+1/2', 'x, z, y', '-x+1/2, z, -y+1/2', '-z+1/2, -y+1/2, x', '-z+1/2, y, -x+1/2', 'z, -y+1/2, -x+1/2', 'z, y, x'], ['x, y, z', '-x+1/2, -y+1/2, z', '-x+1/2, y, -z+1/2', 'x, -y+1/2, -z+1/2', 'z, x, y', 'z, -x+1/2, -y+1/2', '-z+1/2, -x+1/2, y', '-z+1/2, x, -y+1/2', 'y, z, x', '-y+1/2, z, -x+1/2', 'y, -z+1/2, -x+1/2', '-y+1/2, -z+1/2, x', 'y+1/2, x+1/2, -z', '-y, -x, -z', 'y+1/2, -x, z+1/2', '-y, x+1/2, z+1/2', 'x+1/2, z+1/2, -y', '-x, z+1/2, y+1/2', '-x, -z, -y', 'x+1/2, -z, y+1/2', 'z+1/2, y+1/2, -x', 'z+1/2, -y, x+1/2', '-z, y+1/2, x+1/2', '-z, -y, -x'], ['x, y, z', '-x+1/2, -y+1/2, z', '-x+1/2, y, -z+1/2', 'x, -y+1/2, -z+1/2', 'z, x, y', 'z, -x+1/2, -y+1/2', '-z+1/2, -x+1/2, y', '-z+1/2, x, -y+1/2', 'y, z, x', '-y+1/2, z, -x+1/2', 'y, -z+1/2, -x+1/2', 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z+3/4', '-y+1/4, x+3/4, z+1/4', 'x+3/4, z+1/4, -y+1/4', '-x+1/4, z+3/4, y+1/4', '-x+3/4, -z+3/4, -y+3/4', 'x+1/4, -z+1/4, y+3/4', 'z+3/4, y+1/4, -x+1/4', 'z+1/4, -y+1/4, x+3/4', '-z+1/4, y+3/4, x+1/4', '-z+3/4, -y+3/4, -x+3/4', '-x, -y, -z', 'x+1/2, y, -z+1/2', 'x, -y+1/2, z+1/2', '-x+1/2, y+1/2, z', '-z, -x, -y', '-z+1/2, x+1/2, y', 'z+1/2, x, -y+1/2', 'z, -x+1/2, y+1/2', '-y, -z, -x', 'y, -z+1/2, x+1/2', '-y+1/2, z+1/2, x', 'y+1/2, z, -x+1/2', '-y+1/4, -x+3/4, z+3/4', 'y+1/4, x+1/4, z+1/4', '-y+3/4, x+3/4, -z+1/4', 'y+3/4, -x+1/4, -z+3/4', '-x+1/4, -z+3/4, y+3/4', 'x+3/4, -z+1/4, -y+3/4', 'x+1/4, z+1/4, y+1/4', '-x+3/4, z+3/4, -y+1/4', '-z+1/4, -y+3/4, x+3/4', '-z+3/4, y+3/4, -x+1/4', 'z+3/4, -y+1/4, -x+3/4', 'z+1/4, y+1/4, x+1/4'], ['x, y, z', '-x+1/2, -y, z+1/2', '-x, y+1/2, -z+1/2', 'x+1/2, -y+1/2, -z', 'y+3/4, x+1/4, -z+1/4', '-y+3/4, -x+3/4, -z+3/4', 'y+1/4, -x+1/4, z+3/4', '-y+1/4, x+3/4, z+1/4', '-x, -y, -z', 'x+1/2, y, -z+1/2', 'x, -y+1/2, z+1/2', '-x+1/2, y+1/2, z', '-y+1/4, -x+3/4, z+3/4', 'y+1/4, x+1/4, z+1/4', '-y+3/4, x+3/4, -z+1/4', 'y+3/4, -x+1/4, -z+3/4', 'x+1/2, y+1/2, z+1/2', '-x+1, -y+1/2, z+1', '-x+1/2, y+1, -z+1', 'x+1, -y+1, -z+1/2', 'y+5/4, x+3/4, -z+3/4', '-y+5/4, -x+5/4, -z+5/4', 'y+3/4, -x+3/4, z+5/4', '-y+3/4, x+5/4, z+3/4', '-x+1/2, -y+1/2, -z+1/2', 'x+1, y+1/2, -z+1', 'x+1/2, -y+1, z+1', '-x+1, y+1, z+1/2', '-y+3/4, -x+5/4, z+5/4', 'y+3/4, x+3/4, z+3/4', '-y+5/4, x+5/4, -z+3/4', 'y+5/4, -x+3/4, -z+5/4'], ['x, y, z', '-x+1/2, -y, z+1/2', '-x, y+1/2, -z+1/2', 'x+1/2, -y+1/2, -z', 'z, x, y', 'z+1/2, -x+1/2, -y', '-z+1/2, -x, y+1/2', '-z, x+1/2, -y+1/2', 'y, z, x', '-y, z+1/2, -x+1/2', 'y+1/2, -z+1/2, -x', '-y+1/2, -z, x+1/2', 'y+3/4, x+1/4, -z+1/4', '-y+3/4, -x+3/4, -z+3/4', 'y+1/4, -x+1/4, z+3/4', '-y+1/4, x+3/4, z+1/4', 'x+3/4, z+1/4, -y+1/4', '-x+1/4, z+3/4, y+1/4', '-x+3/4, -z+3/4, -y+3/4', 'x+1/4, -z+1/4, y+3/4', 'z+3/4, y+1/4, -x+1/4', 'z+1/4, -y+1/4, x+3/4', '-z+1/4, y+3/4, x+1/4', '-z+3/4, -y+3/4, -x+3/4'], ['x, y, z', '-x+1/2, -y, z+1/2', '-x, y+1/2, -z+1/2', 'x+1/2, -y+1/2, -z', 'z, x, y', 'z+1/2, -x+1/2, -y', '-z+1/2, -x, y+1/2', '-z, x+1/2, -y+1/2', 'y, z, x', '-y, z+1/2, -x+1/2', 'y+1/2, -z+1/2, -x', '-y+1/2, -z, x+1/2', '-x, -y, -z', 'x+1/2, y, -z+1/2', 'x, -y+1/2, z+1/2', '-x+1/2, y+1/2, z', '-z, -x, -y', '-z+1/2, x+1/2, y', 'z+1/2, x, -y+1/2', 'z, -x+1/2, y+1/2', '-y, -z, -x', 'y, -z+1/2, x+1/2', '-y+1/2, z+1/2, x', 'y+1/2, z, -x+1/2'], ['x, y, z', '-x+1/2, -y, z+1/2', '-x, y+1/2, -z+1/2', 'x+1/2, -y+1/2, -z', 'y+3/4, x+1/4, -z+1/4', '-y+3/4, -x+3/4, -z+3/4', 'y+1/4, -x+1/4, z+3/4', '-y+1/4, x+3/4, z+1/4', '-x, -y, -z', 'x+1/2, y, -z+1/2', 'x, -y+1/2, z+1/2', '-x+1/2, y+1/2, z', '-y+1/4, -x+3/4, z+3/4', 'y+1/4, x+1/4, z+1/4', '-y+3/4, x+3/4, -z+1/4', 'y+3/4, -x+1/4, -z+3/4'], ['x, y, z', '-x+1/2, -y, z+1/2', '-x, y+1/2, -z+1/2', 'x+1/2, -y+1/2, -z', 'y+3/4, x+1/4, -z+1/4', '-y+3/4, -x+3/4, -z+3/4', 'y+1/4, -x+1/4, z+3/4', '-y+1/4, x+3/4, z+1/4', '-y+1/4, -x+3/4, z+3/4', 'y+1/4, x+1/4, z+1/4', '-y+3/4, x+3/4, -z+1/4', 'y+3/4, -x+1/4, -z+3/4', 'x+1/2, y+1/2, z+1/2', '-x+1, -y+1/2, z+1', '-x+1/2, y+1, -z+1', 'x+1, -y+1, -z+1/2']]\"\n"
  },
  {
    "path": "pyxtal/database/wyckoff_list.csv",
    "content": ",0\n0,\n1,\"[['x, y, z']]\"\n2,\"[['x, y, z', '-x, -y, -z'], ['1/2, 1/2, 1/2'], ['0, 1/2, 1/2'], ['1/2, 0, 1/2'], ['1/2, 1/2, 0'], ['1/2, 0, 0'], ['0, 1/2, 0'], ['0, 0, 1/2'], ['0, 0, 0']]\"\n3,\"[['x, y, z', '-x, y, -z'], ['1/2, y, 1/2'], ['1/2, y, 0'], ['0, y, 1/2'], ['0, y, 0']]\"\n4,\"[['x, y, z', '-x, y+1/2, -z']]\"\n5,\"[['x, y, z', '-x, y, -z', 'x+1/2, y+1/2, z', '-x+1/2, y+1/2, -z'], ['0, y, 1/2', '1/2, y+1/2, 1/2'], ['0, y, 0', '1/2, y+1/2, 0']]\"\n6,\"[['x, y, z', 'x, -y, z'], ['x, 1/2, z'], ['x, 0, z']]\"\n7,\"[['x, y, z', 'x, -y, z+1/2']]\"\n8,\"[['x, y, z', 'x, -y, z', 'x+1/2, y+1/2, z', 'x+1/2, -y+1/2, z'], ['x, 0, z', 'x+1/2, 1/2, z']]\"\n9,\"[['x, y, z', 'x, -y, z+1/2', 'x+1/2, y+1/2, z', 'x+1/2, -y+1/2, z+1/2']]\"\n10,\"[['x, y, z', '-x, y, -z', '-x, -y, -z', 'x, -y, z'], ['x, 1/2, z', '-x, 1/2, -z'], ['x, 0, z', '-x, 0, -z'], ['1/2, y, 1/2', '1/2, -y, 1/2'], ['0, y, 1/2', '0, -y, 1/2'], ['1/2, y, 0', '1/2, -y, 0'], ['0, y, 0', '0, -y, 0'], ['1/2, 1/2, 1/2'], ['1/2, 0, 1/2'], ['0, 1/2, 1/2'], ['1/2, 1/2, 0'], ['1/2, 0, 0'], ['0, 0, 1/2'], ['0, 1/2, 0'], ['0, 0, 0']]\"\n11,\"[['x, y, z', '-x, y+1/2, -z', '-x, -y, -z', 'x, -y+1/2, z'], ['x, 1/4, z', '-x, 3/4, -z'], ['1/2, 0, 1/2', '1/2, 1/2, 1/2'], ['0, 0, 1/2', '0, 1/2, 1/2'], ['1/2, 0, 0', '1/2, 1/2, 0'], ['0, 0, 0', '0, 1/2, 0']]\"\n12,\"[['x, y, z', '-x, y, -z', '-x, -y, -z', 'x, -y, z', 'x+1/2, y+1/2, z', '-x+1/2, y+1/2, -z', '-x+1/2, -y+1/2, -z', 'x+1/2, -y+1/2, z'], ['x, 0, z', '-x, 0, -z', 'x+1/2, 1/2, z', '-x+1/2, 1/2, -z'], ['0, y, 1/2', '0, -y, 1/2', '1/2, y+1/2, 1/2', '1/2, -y+1/2, 1/2'], ['0, y, 0', '0, -y, 0', '1/2, y+1/2, 0', '1/2, -y+1/2, 0'], ['1/4, 1/4, 1/2', '3/4, 1/4, 1/2', '3/4, 3/4, 1/2', '5/4, 3/4, 1/2'], ['1/4, 1/4, 0', '3/4, 1/4, 0', '3/4, 3/4, 0', '5/4, 3/4, 0'], ['0, 1/2, 1/2', '1/2, 1, 1/2'], ['0, 0, 1/2', '1/2, 1/2, 1/2'], ['0, 1/2, 0', '1/2, 1, 0'], ['0, 0, 0', '1/2, 1/2, 0']]\"\n13,\"[['x, y, z', '-x, y, -z+1/2', '-x, -y, -z', 'x, -y, z+1/2'], ['1/2, y, 1/4', '1/2, -y, 3/4'], ['0, y, 1/4', '0, -y, 3/4'], ['1/2, 0, 0', '1/2, 0, 1/2'], ['0, 1/2, 0', '0, 1/2, 1/2'], ['1/2, 1/2, 0', '1/2, 1/2, 1/2'], ['0, 0, 0', '0, 0, 1/2']]\"\n14,\"[['x, y, z', '-x, y+1/2, -z+1/2', '-x, -y, -z', 'x, -y+1/2, z+1/2'], ['1/2, 0, 1/2', '1/2, 1/2, 0'], ['0, 0, 1/2', '0, 1/2, 0'], ['1/2, 0, 0', '1/2, 1/2, 1/2'], ['0, 0, 0', '0, 1/2, 1/2']]\"\n15,\"[['x, y, z', '-x, y, -z+1/2', '-x, -y, -z', 'x, -y, z+1/2', 'x+1/2, y+1/2, z', '-x+1/2, y+1/2, -z+1/2', '-x+1/2, -y+1/2, -z', 'x+1/2, -y+1/2, z+1/2'], ['0, y, 1/4', '0, -y, 3/4', '1/2, y+1/2, 1/4', '1/2, -y+1/2, 3/4'], ['1/4, 1/4, 1/2', '3/4, 1/4, 0', '3/4, 3/4, 1/2', '5/4, 3/4, 0'], ['1/4, 1/4, 0', '3/4, 1/4, 1/2', '3/4, 3/4, 0', '5/4, 3/4, 1/2'], ['0, 1/2, 0', '0, 1/2, 1/2', '1/2, 1, 0', '1/2, 1, 1/2'], ['0, 0, 0', '0, 0, 1/2', '1/2, 1/2, 0', '1/2, 1/2, 1/2']]\"\n16,\"[['x, y, z', '-x, -y, z', '-x, y, -z', 'x, -y, -z'], ['1/2, 1/2, z', '1/2, 1/2, -z'], ['0, 1/2, z', '0, 1/2, -z'], ['1/2, 0, z', '1/2, 0, -z'], ['0, 0, z', '0, 0, -z'], ['1/2, y, 1/2', '1/2, -y, 1/2'], ['1/2, y, 0', '1/2, -y, 0'], ['0, y, 1/2', '0, -y, 1/2'], ['0, y, 0', '0, -y, 0'], ['x, 1/2, 1/2', '-x, 1/2, 1/2'], ['x, 1/2, 0', '-x, 1/2, 0'], ['x, 0, 1/2', '-x, 0, 1/2'], ['x, 0, 0', '-x, 0, 0'], ['1/2, 1/2, 1/2'], ['0, 1/2, 1/2'], ['1/2, 0, 1/2'], ['1/2, 1/2, 0'], ['0, 0, 1/2'], ['0, 1/2, 0'], ['1/2, 0, 0'], ['0, 0, 0']]\"\n17,\"[['x, y, z', '-x, -y, z+1/2', '-x, y, -z+1/2', 'x, -y, -z'], ['1/2, y, 1/4', '1/2, -y, 3/4'], ['0, y, 1/4', '0, -y, 3/4'], ['x, 1/2, 0', '-x, 1/2, 1/2'], ['x, 0, 0', '-x, 0, 1/2']]\"\n18,\"[['x, y, z', '-x, -y, z', '-x+1/2, y+1/2, -z', 'x+1/2, -y+1/2, -z'], ['0, 1/2, z', '1/2, 0, -z'], ['0, 0, z', '1/2, 1/2, -z']]\"\n19,\"[['x, y, z', '-x+1/2, -y, z+1/2', '-x, y+1/2, -z+1/2', 'x+1/2, -y+1/2, -z']]\"\n20,\"[['x, y, z', '-x, -y, z+1/2', '-x, y, -z+1/2', 'x, -y, -z', 'x+1/2, y+1/2, z', '-x+1/2, -y+1/2, z+1/2', '-x+1/2, y+1/2, -z+1/2', 'x+1/2, -y+1/2, -z'], ['0, y, 1/4', '0, -y, 3/4', '1/2, y+1/2, 1/4', '1/2, -y+1/2, 3/4'], ['x, 0, 0', '-x, 0, 1/2', 'x+1/2, 1/2, 0', '-x+1/2, 1/2, 1/2']]\"\n21,\"[['x, y, z', '-x, -y, z', '-x, y, -z', 'x, -y, -z', 'x+1/2, y+1/2, z', '-x+1/2, -y+1/2, z', '-x+1/2, y+1/2, -z', 'x+1/2, -y+1/2, -z'], ['1/4, 1/4, z', '3/4, 1/4, -z', '3/4, 3/4, z', '5/4, 3/4, -z'], ['0, 1/2, z', '0, 1/2, -z', '1/2, 1, z', '1/2, 1, -z'], ['0, 0, z', '0, 0, -z', '1/2, 1/2, z', '1/2, 1/2, -z'], ['0, y, 1/2', '0, -y, 1/2', '1/2, y+1/2, 1/2', '1/2, -y+1/2, 1/2'], ['0, y, 0', '0, -y, 0', '1/2, y+1/2, 0', '1/2, -y+1/2, 0'], ['x, 0, 1/2', '-x, 0, 1/2', 'x+1/2, 1/2, 1/2', '-x+1/2, 1/2, 1/2'], ['x, 0, 0', '-x, 0, 0', 'x+1/2, 1/2, 0', '-x+1/2, 1/2, 0'], ['0, 0, 1/2', '1/2, 1/2, 1/2'], ['1/2, 0, 1/2', '1, 1/2, 1/2'], ['0, 1/2, 0', '1/2, 1, 0'], ['0, 0, 0', '1/2, 1/2, 0']]\"\n22,\"[['x, y, z', '-x, -y, z', '-x, y, -z', 'x, -y, -z', 'x, y+1/2, z+1/2', '-x, -y+1/2, z+1/2', '-x, y+1/2, -z+1/2', 'x, -y+1/2, -z+1/2', 'x+1/2, y, z+1/2', '-x+1/2, -y, z+1/2', '-x+1/2, y, -z+1/2', 'x+1/2, -y, -z+1/2', 'x+1/2, y+1/2, z', '-x+1/2, -y+1/2, z', '-x+1/2, y+1/2, -z', 'x+1/2, -y+1/2, -z'], ['x, 1/4, 1/4', '-x, 3/4, 1/4', 'x, 3/4, 3/4', '-x, 5/4, 3/4', 'x+1/2, 1/4, 3/4', '-x+1/2, 3/4, 3/4', 'x+1/2, 3/4, 1/4', '-x+1/2, 5/4, 1/4'], ['1/4, y, 1/4', '3/4, -y, 1/4', '1/4, y+1/2, 3/4', '3/4, -y+1/2, 3/4', '3/4, y, 3/4', '5/4, -y, 3/4', '3/4, y+1/2, 1/4', '5/4, -y+1/2, 1/4'], ['1/4, 1/4, z', '3/4, 1/4, -z', '1/4, 3/4, z+1/2', '3/4, 3/4, -z+1/2', '3/4, 1/4, z+1/2', '5/4, 1/4, -z+1/2', '3/4, 3/4, z', '5/4, 3/4, -z'], ['0, 0, z', '0, 0, -z', '0, 1/2, z+1/2', '0, 1/2, -z+1/2', '1/2, 0, z+1/2', '1/2, 0, -z+1/2', '1/2, 1/2, z', '1/2, 1/2, -z'], ['0, y, 0', '0, -y, 0', '0, y+1/2, 1/2', '0, -y+1/2, 1/2', '1/2, y, 1/2', '1/2, -y, 1/2', '1/2, y+1/2, 0', '1/2, -y+1/2, 0'], ['x, 0, 0', '-x, 0, 0', 'x, 1/2, 1/2', '-x, 1/2, 1/2', 'x+1/2, 0, 1/2', '-x+1/2, 0, 1/2', 'x+1/2, 1/2, 0', '-x+1/2, 1/2, 0'], ['1/4, 1/4, 3/4', '1/4, 3/4, 5/4', '3/4, 1/4, 5/4', '3/4, 3/4, 3/4'], ['1/4, 1/4, 1/4', '1/4, 3/4, 3/4', '3/4, 1/4, 3/4', '3/4, 3/4, 1/4'], ['0, 0, 1/2', '0, 1/2, 1', '1/2, 0, 1', '1/2, 1/2, 1/2'], ['0, 0, 0', '0, 1/2, 1/2', '1/2, 0, 1/2', '1/2, 1/2, 0']]\"\n23,\"[['x, y, z', '-x, -y, z', '-x, y, -z', 'x, -y, -z', 'x+1/2, y+1/2, z+1/2', '-x+1/2, -y+1/2, z+1/2', '-x+1/2, y+1/2, -z+1/2', 'x+1/2, -y+1/2, -z+1/2'], ['0, 1/2, z', '0, 1/2, -z', '1/2, 1, z+1/2', '1/2, 1, -z+1/2'], ['0, 0, z', '0, 0, -z', '1/2, 1/2, z+1/2', '1/2, 1/2, -z+1/2'], ['1/2, y, 0', '1/2, -y, 0', '1, y+1/2, 1/2', '1, -y+1/2, 1/2'], ['0, y, 0', '0, -y, 0', '1/2, y+1/2, 1/2', '1/2, -y+1/2, 1/2'], ['x, 0, 1/2', '-x, 0, 1/2', 'x+1/2, 1/2, 1', '-x+1/2, 1/2, 1'], ['x, 0, 0', '-x, 0, 0', 'x+1/2, 1/2, 1/2', '-x+1/2, 1/2, 1/2'], ['0, 1/2, 0', '1/2, 1, 1/2'], ['0, 0, 1/2', '1/2, 1/2, 1'], ['1/2, 0, 0', '1, 1/2, 1/2'], ['0, 0, 0', '1/2, 1/2, 1/2']]\"\n24,\"[['x, y, z', '-x+1/2, -y, z+1/2', '-x, y+1/2, -z+1/2', 'x+1/2, -y+1/2, -z', 'x+1/2, y+1/2, z+1/2', '-x+1, -y+1/2, z+1', '-x+1/2, y+1, -z+1', 'x+1, -y+1, -z+1/2'], ['0, 1/4, z', '0, 3/4, -z+1/2', '1/2, 3/4, z+1/2', '1/2, 5/4, -z+1'], ['1/4, y, 0', '1/4, -y, 1/2', '3/4, y+1/2, 1/2', '3/4, -y+1/2, 1'], ['x, 0, 1/4', '-x+1/2, 0, 3/4', 'x+1/2, 1/2, 3/4', '-x+1, 1/2, 5/4']]\"\n25,\"[['x, y, z', '-x, -y, z', 'x, -y, z', '-x, y, z'], ['1/2, y, z', '1/2, -y, z'], ['0, y, z', '0, -y, z'], ['x, 1/2, z', '-x, 1/2, z'], ['x, 0, z', '-x, 0, z'], ['1/2, 1/2, z'], ['1/2, 0, z'], ['0, 1/2, z'], ['0, 0, z']]\"\n26,\"[['x, y, z', '-x, -y, z+1/2', 'x, -y, z+1/2', '-x, y, z'], ['1/2, y, z', '1/2, -y, z+1/2'], ['0, y, z', '0, -y, z+1/2']]\"\n27,\"[['x, y, z', '-x, -y, z', 'x, -y, z+1/2', '-x, y, z+1/2'], ['1/2, 1/2, z', '1/2, 1/2, z+1/2'], ['1/2, 0, z', '1/2, 0, z+1/2'], ['0, 1/2, z', '0, 1/2, z+1/2'], ['0, 0, z', '0, 0, z+1/2']]\"\n28,\"[['x, y, z', '-x, -y, z', 'x+1/2, -y, z', '-x+1/2, y, z'], ['1/4, y, z', '3/4, -y, z'], ['0, 1/2, z', '1/2, 1/2, z'], ['0, 0, z', '1/2, 0, z']]\"\n29,\"[['x, y, z', '-x, -y, z+1/2', 'x+1/2, -y, z', '-x+1/2, y, z+1/2']]\"\n30,\"[['x, y, z', '-x, -y, z', 'x, -y+1/2, z+1/2', '-x, y+1/2, z+1/2'], ['1/2, 0, z', '1/2, 1/2, z+1/2'], ['0, 0, z', '0, 1/2, z+1/2']]\"\n31,\"[['x, y, z', '-x+1/2, -y, z+1/2', 'x+1/2, -y, z+1/2', '-x, y, z'], ['0, y, z', '1/2, -y, z+1/2']]\"\n32,\"[['x, y, z', '-x, -y, z', 'x+1/2, -y+1/2, z', '-x+1/2, y+1/2, z'], ['0, 1/2, z', '1/2, 0, z'], ['0, 0, z', '1/2, 1/2, z']]\"\n33,\"[['x, y, z', '-x, -y, z+1/2', 'x+1/2, -y+1/2, z', '-x+1/2, y+1/2, z+1/2']]\"\n34,\"[['x, y, z', '-x, -y, z', 'x+1/2, -y+1/2, z+1/2', '-x+1/2, y+1/2, z+1/2'], ['0, 1/2, z', '1/2, 0, z+1/2'], ['0, 0, z', '1/2, 1/2, z+1/2']]\"\n35,\"[['x, y, z', '-x, -y, z', 'x, -y, z', '-x, y, z', 'x+1/2, y+1/2, z', '-x+1/2, -y+1/2, z', 'x+1/2, -y+1/2, z', '-x+1/2, y+1/2, z'], ['0, y, z', '0, -y, z', '1/2, y+1/2, z', '1/2, -y+1/2, z'], ['x, 0, z', '-x, 0, z', 'x+1/2, 1/2, z', '-x+1/2, 1/2, z'], ['1/4, 1/4, z', '1/4, 3/4, z', '3/4, 3/4, z', '3/4, 5/4, z'], ['0, 1/2, z', '1/2, 1, z'], ['0, 0, z', '1/2, 1/2, z']]\"\n36,\"[['x, y, z', '-x, -y, z+1/2', 'x, -y, z+1/2', '-x, y, z', 'x+1/2, y+1/2, z', '-x+1/2, -y+1/2, z+1/2', 'x+1/2, -y+1/2, z+1/2', '-x+1/2, y+1/2, z'], ['0, y, z', '0, -y, z+1/2', '1/2, y+1/2, z', '1/2, -y+1/2, z+1/2']]\"\n37,\"[['x, y, z', '-x, -y, z', 'x, -y, z+1/2', '-x, y, z+1/2', 'x+1/2, y+1/2, z', '-x+1/2, -y+1/2, z', 'x+1/2, -y+1/2, z+1/2', '-x+1/2, y+1/2, z+1/2'], ['1/4, 1/4, z', '1/4, 3/4, z+1/2', '3/4, 3/4, z', '3/4, 5/4, z+1/2'], ['0, 1/2, z', '0, 1/2, z+1/2', '1/2, 1, z', '1/2, 1, z+1/2'], ['0, 0, z', '0, 0, z+1/2', '1/2, 1/2, z', '1/2, 1/2, z+1/2']]\"\n38,\"[['x, y, z', '-x, -y, z', 'x, -y, z', '-x, y, z', 'x, y+1/2, z+1/2', '-x, -y+1/2, z+1/2', 'x, -y+1/2, z+1/2', '-x, y+1/2, z+1/2'], ['1/2, y, z', '1/2, -y, z', '1/2, y+1/2, z+1/2', '1/2, -y+1/2, z+1/2'], ['0, y, z', '0, -y, z', '0, y+1/2, z+1/2', '0, -y+1/2, z+1/2'], ['x, 0, z', '-x, 0, z', 'x, 1/2, z+1/2', '-x, 1/2, z+1/2'], ['1/2, 0, z', '1/2, 1/2, z+1/2'], ['0, 0, z', '0, 1/2, z+1/2']]\"\n39,\"[['x, y, z', '-x, -y, z', 'x, -y+1/2, z', '-x, y+1/2, z', 'x, y+1/2, z+1/2', '-x, -y+1/2, z+1/2', 'x, -y+1, z+1/2', '-x, y+1, z+1/2'], ['x, 1/4, z', '-x, 3/4, z', 'x, 3/4, z+1/2', '-x, 5/4, z+1/2'], ['1/2, 0, z', '1/2, 1/2, z', '1/2, 1/2, z+1/2', '1/2, 1, z+1/2'], ['0, 0, z', '0, 1/2, z', '0, 1/2, z+1/2', '0, 1, z+1/2']]\"\n40,\"[['x, y, z', '-x, -y, z', 'x+1/2, -y, z', '-x+1/2, y, z', 'x, y+1/2, z+1/2', '-x, -y+1/2, z+1/2', 'x+1/2, -y+1/2, z+1/2', '-x+1/2, y+1/2, z+1/2'], ['1/4, y, z', '3/4, -y, z', '1/4, y+1/2, z+1/2', '3/4, -y+1/2, z+1/2'], ['0, 0, z', '1/2, 0, z', '0, 1/2, z+1/2', '1/2, 1/2, z+1/2']]\"\n41,\"[['x, y, z', '-x, -y, z', 'x+1/2, -y+1/2, z', '-x+1/2, y+1/2, z', 'x, y+1/2, z+1/2', '-x, -y+1/2, z+1/2', 'x+1/2, -y+1, z+1/2', '-x+1/2, y+1, z+1/2'], ['0, 0, z', '1/2, 1/2, z', '0, 1/2, z+1/2', '1/2, 1, z+1/2']]\"\n42,\"[['x, y, z', '-x, -y, z', 'x, -y, z', '-x, y, z', 'x, y+1/2, z+1/2', '-x, -y+1/2, z+1/2', 'x, -y+1/2, z+1/2', '-x, y+1/2, z+1/2', 'x+1/2, y, z+1/2', '-x+1/2, -y, z+1/2', 'x+1/2, -y, z+1/2', '-x+1/2, y, z+1/2', 'x+1/2, y+1/2, z', '-x+1/2, -y+1/2, z', 'x+1/2, -y+1/2, z', '-x+1/2, y+1/2, z'], ['x, 0, z', '-x, 0, z', 'x, 1/2, z+1/2', '-x, 1/2, z+1/2', 'x+1/2, 0, z+1/2', '-x+1/2, 0, z+1/2', 'x+1/2, 1/2, z', '-x+1/2, 1/2, z'], ['0, y, z', '0, -y, z', '0, y+1/2, z+1/2', '0, -y+1/2, z+1/2', '1/2, y, z+1/2', '1/2, -y, z+1/2', '1/2, y+1/2, z', '1/2, -y+1/2, z'], ['1/4, 1/4, z', '1/4, 3/4, z', '1/4, 3/4, z+1/2', '1/4, 5/4, z+1/2', '3/4, 1/4, z+1/2', '3/4, 3/4, z+1/2', '3/4, 3/4, z', '3/4, 5/4, z'], ['0, 0, z', '0, 1/2, z+1/2', '1/2, 0, z+1/2', '1/2, 1/2, z']]\"\n43,\"[['x, y, z', '-x, -y, z', 'x+1/4, -y+1/4, z+1/4', '-x+1/4, y+1/4, z+1/4', 'x, y+1/2, z+1/2', '-x, -y+1/2, z+1/2', 'x+1/4, -y+3/4, z+3/4', '-x+1/4, y+3/4, z+3/4', 'x+1/2, y, z+1/2', '-x+1/2, -y, z+1/2', 'x+3/4, -y+1/4, z+3/4', '-x+3/4, y+1/4, z+3/4', 'x+1/2, y+1/2, z', '-x+1/2, -y+1/2, z', 'x+3/4, -y+3/4, z+1/4', '-x+3/4, y+3/4, z+1/4'], ['0, 0, z', '1/4, 1/4, z+1/4', '0, 1/2, z+1/2', '1/4, 3/4, z+3/4', '1/2, 0, z+1/2', '3/4, 1/4, z+3/4', '1/2, 1/2, z', '3/4, 3/4, z+1/4']]\"\n44,\"[['x, y, z', '-x, -y, z', 'x, -y, z', '-x, y, z', 'x+1/2, y+1/2, z+1/2', '-x+1/2, -y+1/2, z+1/2', 'x+1/2, -y+1/2, z+1/2', '-x+1/2, y+1/2, z+1/2'], ['0, y, z', '0, -y, z', '1/2, y+1/2, z+1/2', '1/2, -y+1/2, z+1/2'], ['x, 0, z', '-x, 0, z', 'x+1/2, 1/2, z+1/2', '-x+1/2, 1/2, z+1/2'], ['0, 1/2, z', '1/2, 1, z+1/2'], ['0, 0, z', '1/2, 1/2, z+1/2']]\"\n45,\"[['x, y, z', '-x, -y, z', 'x+1/2, -y+1/2, z', '-x+1/2, y+1/2, z', 'x+1/2, y+1/2, z+1/2', '-x+1/2, -y+1/2, z+1/2', 'x+1, -y+1, z+1/2', '-x+1, y+1, z+1/2'], ['0, 1/2, z', '1/2, 0, z', '1/2, 1, z+1/2', '1, 1/2, z+1/2'], ['0, 0, z', '1/2, 1/2, z', '1/2, 1/2, z+1/2', '1, 1, z+1/2']]\"\n46,\"[['x, y, z', '-x, -y, z', 'x+1/2, -y, z', '-x+1/2, y, z', 'x+1/2, y+1/2, z+1/2', '-x+1/2, -y+1/2, z+1/2', 'x+1, -y+1/2, z+1/2', '-x+1, y+1/2, z+1/2'], ['1/4, y, z', '3/4, -y, z', '3/4, y+1/2, z+1/2', '5/4, -y+1/2, z+1/2'], ['0, 0, z', '1/2, 0, z', '1/2, 1/2, z+1/2', '1, 1/2, z+1/2']]\"\n47,\"[['x, y, z', '-x, -y, z', '-x, y, -z', 'x, -y, -z', '-x, -y, -z', 'x, y, -z', 'x, -y, z', '-x, y, z'], ['x, y, 1/2', '-x, -y, 1/2', '-x, y, 1/2', 'x, -y, 1/2'], ['x, y, 0', '-x, -y, 0', '-x, y, 0', 'x, -y, 0'], ['x, 1/2, z', '-x, 1/2, z', '-x, 1/2, -z', 'x, 1/2, -z'], ['x, 0, z', '-x, 0, z', '-x, 0, -z', 'x, 0, -z'], ['1/2, y, z', '1/2, -y, z', '1/2, y, -z', '1/2, -y, -z'], ['0, y, z', '0, -y, z', '0, y, -z', '0, -y, -z'], ['1/2, 1/2, z', '1/2, 1/2, -z'], ['1/2, 0, z', '1/2, 0, -z'], ['0, 1/2, z', '0, 1/2, -z'], ['0, 0, z', '0, 0, -z'], ['1/2, y, 1/2', '1/2, -y, 1/2'], ['1/2, y, 0', '1/2, -y, 0'], ['0, y, 1/2', '0, -y, 1/2'], ['0, y, 0', '0, -y, 0'], ['x, 1/2, 1/2', '-x, 1/2, 1/2'], ['x, 1/2, 0', '-x, 1/2, 0'], ['x, 0, 1/2', '-x, 0, 1/2'], ['x, 0, 0', '-x, 0, 0'], ['1/2, 1/2, 1/2'], ['0, 1/2, 1/2'], ['1/2, 1/2, 0'], ['0, 1/2, 0'], ['1/2, 0, 1/2'], ['0, 0, 1/2'], ['1/2, 0, 0'], ['0, 0, 0']]\"\n48,\"[['x, y, z', '-x+1/2, -y+1/2, z', '-x+1/2, y, -z+1/2', 'x, -y+1/2, -z+1/2', '-x, -y, -z', 'x+1/2, y+1/2, -z', 'x+1/2, -y, z+1/2', '-x, y+1/2, z+1/2'], ['1/4, 3/4, z', '1/4, 3/4, -z+1/2', '3/4, 1/4, -z', '3/4, 1/4, z+1/2'], ['1/4, 1/4, z', '1/4, 1/4, -z+1/2', '3/4, 3/4, -z', '3/4, 3/4, z+1/2'], ['3/4, y, 1/4', '3/4, -y+1/2, 1/4', '1/4, -y, 3/4', '1/4, y+1/2, 3/4'], ['1/4, y, 1/4', '1/4, -y+1/2, 1/4', '3/4, -y, 3/4', '3/4, y+1/2, 3/4'], ['x, 1/4, 3/4', '-x+1/2, 1/4, 3/4', '-x, 3/4, 1/4', 'x+1/2, 3/4, 1/4'], ['x, 1/4, 1/4', '-x+1/2, 1/4, 1/4', '-x, 3/4, 3/4', 'x+1/2, 3/4, 3/4'], ['0, 0, 0', '1/2, 1/2, 0', '1/2, 0, 1/2', '0, 1/2, 1/2'], ['1/2, 1/2, 1/2', '0, 0, 1/2', '0, 1/2, 0', '1/2, 0, 0'], ['1/4, 3/4, 1/4', '3/4, 1/4, 3/4'], ['1/4, 1/4, 3/4', '3/4, 3/4, 1/4'], ['3/4, 1/4, 1/4', '1/4, 3/4, 3/4'], ['1/4, 1/4, 1/4', '3/4, 3/4, 3/4']]\"\n49,\"[['x, y, z', '-x, -y, z', '-x, y, -z+1/2', 'x, -y, -z+1/2', '-x, -y, -z', 'x, y, -z', 'x, -y, z+1/2', '-x, y, z+1/2'], ['x, y, 0', '-x, -y, 0', '-x, y, 1/2', 'x, -y, 1/2'], ['1/2, 0, z', '1/2, 0, -z+1/2', '1/2, 0, -z', '1/2, 0, z+1/2'], ['0, 1/2, z', '0, 1/2, -z+1/2', '0, 1/2, -z', '0, 1/2, z+1/2'], ['1/2, 1/2, z', '1/2, 1/2, -z+1/2', '1/2, 1/2, -z', '1/2, 1/2, z+1/2'], ['0, 0, z', '0, 0, -z+1/2', '0, 0, -z', '0, 0, z+1/2'], ['1/2, y, 1/4', '1/2, -y, 1/4', '1/2, -y, 3/4', '1/2, y, 3/4'], ['0, y, 1/4', '0, -y, 1/4', '0, -y, 3/4', '0, y, 3/4'], ['x, 1/2, 1/4', '-x, 1/2, 1/4', '-x, 1/2, 3/4', 'x, 1/2, 3/4'], ['x, 0, 1/4', '-x, 0, 1/4', '-x, 0, 3/4', 'x, 0, 3/4'], ['1/2, 1/2, 1/4', '1/2, 1/2, 3/4'], ['0, 1/2, 1/4', '0, 1/2, 3/4'], ['1/2, 0, 1/4', '1/2, 0, 3/4'], ['0, 0, 1/4', '0, 0, 3/4'], ['1/2, 0, 0', '1/2, 0, 1/2'], ['0, 1/2, 0', '0, 1/2, 1/2'], ['1/2, 1/2, 0', '1/2, 1/2, 1/2'], ['0, 0, 0', '0, 0, 1/2']]\"\n50,\"[['x, y, z', '-x+1/2, -y+1/2, z', '-x+1/2, y, -z', 'x, -y+1/2, -z', '-x, -y, -z', 'x+1/2, y+1/2, -z', 'x+1/2, -y, z', '-x, y+1/2, z'], ['1/4, 3/4, z', '1/4, 3/4, -z', '3/4, 1/4, -z', '3/4, 1/4, z'], ['1/4, 1/4, z', '1/4, 1/4, -z', '3/4, 3/4, -z', '3/4, 3/4, z'], ['1/4, y, 1/2', '1/4, -y+1/2, 1/2', '3/4, -y, 1/2', '3/4, y+1/2, 1/2'], ['1/4, y, 0', '1/4, -y+1/2, 0', '3/4, -y, 0', '3/4, y+1/2, 0'], ['x, 1/4, 1/2', '-x+1/2, 1/4, 1/2', '-x, 3/4, 1/2', 'x+1/2, 3/4, 1/2'], ['x, 1/4, 0', '-x+1/2, 1/4, 0', '-x, 3/4, 0', 'x+1/2, 3/4, 0'], ['0, 0, 1/2', '1/2, 1/2, 1/2', '1/2, 0, 1/2', '0, 1/2, 1/2'], ['0, 0, 0', '1/2, 1/2, 0', '1/2, 0, 0', '0, 1/2, 0'], ['1/4, 1/4, 1/2', '3/4, 3/4, 1/2'], ['3/4, 1/4, 1/2', '1/4, 3/4, 1/2'], ['3/4, 1/4, 0', '1/4, 3/4, 0'], ['1/4, 1/4, 0', '3/4, 3/4, 0']]\"\n51,\"[['x, y, z', '-x+1/2, -y, z', '-x, y, -z', 'x+1/2, -y, -z', '-x, -y, -z', 'x+1/2, y, -z', 'x, -y, z', '-x+1/2, y, z'], ['1/4, y, z', '1/4, -y, z', '3/4, y, -z', '3/4, -y, -z'], ['x, 1/2, z', '-x+1/2, 1/2, z', '-x, 1/2, -z', 'x+1/2, 1/2, -z'], ['x, 0, z', '-x+1/2, 0, z', '-x, 0, -z', 'x+1/2, 0, -z'], ['0, y, 1/2', '1/2, -y, 1/2', '0, -y, 1/2', '1/2, y, 1/2'], ['0, y, 0', '1/2, -y, 0', '0, -y, 0', '1/2, y, 0'], ['1/4, 1/2, z', '3/4, 1/2, -z'], ['1/4, 0, z', '3/4, 0, -z'], ['0, 1/2, 1/2', '1/2, 1/2, 1/2'], ['0, 0, 1/2', '1/2, 0, 1/2'], ['0, 1/2, 0', '1/2, 1/2, 0'], ['0, 0, 0', '1/2, 0, 0']]\"\n52,\"[['x, y, z', '-x+1/2, -y, z', '-x+1/2, y+1/2, -z+1/2', 'x, -y+1/2, -z+1/2', '-x, -y, -z', 'x+1/2, y, -z', 'x+1/2, -y+1/2, z+1/2', '-x, y+1/2, z+1/2'], ['x, 1/4, 1/4', '-x+1/2, 3/4, 1/4', '-x, 3/4, 3/4', 'x+1/2, 1/4, 3/4'], ['1/4, 0, z', '1/4, 1/2, -z+1/2', '3/4, 0, -z', '3/4, 1/2, z+1/2'], ['0, 0, 1/2', '1/2, 0, 1/2', '1/2, 1/2, 0', '0, 1/2, 0'], ['0, 0, 0', '1/2, 0, 0', '1/2, 1/2, 1/2', '0, 1/2, 1/2']]\"\n53,\"[['x, y, z', '-x+1/2, -y, z+1/2', '-x+1/2, y, -z+1/2', 'x, -y, -z', '-x, -y, -z', 'x+1/2, y, -z+1/2', 'x+1/2, -y, z+1/2', '-x, y, z'], ['0, y, z', '1/2, -y, z+1/2', '1/2, y, -z+1/2', '0, -y, -z'], ['1/4, y, 1/4', '1/4, -y, 3/4', '3/4, -y, 3/4', '3/4, y, 1/4'], ['x, 1/2, 0', '-x+1/2, 1/2, 1/2', '-x, 1/2, 0', 'x+1/2, 1/2, 1/2'], ['x, 0, 0', '-x+1/2, 0, 1/2', '-x, 0, 0', 'x+1/2, 0, 1/2'], ['0, 1/2, 0', '1/2, 1/2, 1/2'], ['1/2, 1/2, 0', '0, 1/2, 1/2'], ['1/2, 0, 0', '0, 0, 1/2'], ['0, 0, 0', '1/2, 0, 1/2']]\"\n54,\"[['x, y, z', '-x+1/2, -y, z', '-x, y, -z+1/2', 'x+1/2, -y, -z+1/2', '-x, -y, -z', 'x+1/2, y, -z', 'x, -y, z+1/2', '-x+1/2, y, z+1/2'], ['1/4, 1/2, z', '3/4, 1/2, -z+1/2', '3/4, 1/2, -z', '1/4, 1/2, z+1/2'], ['1/4, 0, z', '3/4, 0, -z+1/2', '3/4, 0, -z', '1/4, 0, z+1/2'], ['0, y, 1/4', '1/2, -y, 1/4', '0, -y, 3/4', '1/2, y, 3/4'], ['0, 1/2, 0', '1/2, 1/2, 0', '0, 1/2, 1/2', '1/2, 1/2, 1/2'], ['0, 0, 0', '1/2, 0, 0', '0, 0, 1/2', '1/2, 0, 1/2']]\"\n55,\"[['x, y, z', '-x, -y, z', '-x+1/2, y+1/2, -z', 'x+1/2, -y+1/2, -z', '-x, -y, -z', 'x, y, -z', 'x+1/2, -y+1/2, z', '-x+1/2, y+1/2, z'], ['x, y, 1/2', '-x, -y, 1/2', '-x+1/2, y+1/2, 1/2', 'x+1/2, -y+1/2, 1/2'], ['x, y, 0', '-x, -y, 0', '-x+1/2, y+1/2, 0', 'x+1/2, -y+1/2, 0'], ['0, 1/2, z', '1/2, 0, -z', '0, 1/2, -z', '1/2, 0, z'], ['0, 0, z', '1/2, 1/2, -z', '0, 0, -z', '1/2, 1/2, z'], ['0, 1/2, 1/2', '1/2, 0, 1/2'], ['0, 1/2, 0', '1/2, 0, 0'], ['0, 0, 1/2', '1/2, 1/2, 1/2'], ['0, 0, 0', '1/2, 1/2, 0']]\"\n56,\"[['x, y, z', '-x+1/2, -y+1/2, z', '-x, y+1/2, -z+1/2', 'x+1/2, -y, -z+1/2', '-x, -y, -z', 'x+1/2, y+1/2, -z', 'x, -y+1/2, z+1/2', '-x+1/2, y, z+1/2'], ['1/4, 3/4, z', '3/4, 1/4, -z+1/2', '3/4, 1/4, -z', '1/4, 3/4, z+1/2'], ['1/4, 1/4, z', '3/4, 3/4, -z+1/2', '3/4, 3/4, -z', '1/4, 1/4, z+1/2'], ['0, 0, 1/2', '1/2, 1/2, 1/2', '0, 1/2, 0', '1/2, 0, 0'], ['0, 0, 0', '1/2, 1/2, 0', '0, 1/2, 1/2', '1/2, 0, 1/2']]\"\n57,\"[['x, y, z', '-x, -y, z+1/2', '-x, y+1/2, -z+1/2', 'x, -y+1/2, -z', '-x, -y, -z', 'x, y, -z+1/2', 'x, -y+1/2, z+1/2', '-x, y+1/2, z'], ['x, y, 1/4', '-x, -y, 3/4', '-x, y+1/2, 1/4', 'x, -y+1/2, 3/4'], ['x, 1/4, 0', '-x, 3/4, 1/2', '-x, 3/4, 0', 'x, 1/4, 1/2'], ['1/2, 0, 0', '1/2, 0, 1/2', '1/2, 1/2, 1/2', '1/2, 1/2, 0'], ['0, 0, 0', '0, 0, 1/2', '0, 1/2, 1/2', '0, 1/2, 0']]\"\n58,\"[['x, y, z', '-x, -y, z', '-x+1/2, y+1/2, -z+1/2', 'x+1/2, -y+1/2, -z+1/2', '-x, -y, -z', 'x, y, -z', 'x+1/2, -y+1/2, z+1/2', '-x+1/2, y+1/2, z+1/2'], ['x, y, 0', '-x, -y, 0', '-x+1/2, y+1/2, 1/2', 'x+1/2, -y+1/2, 1/2'], ['0, 1/2, z', '1/2, 0, -z+1/2', '0, 1/2, -z', '1/2, 0, z+1/2'], ['0, 0, z', '1/2, 1/2, -z+1/2', '0, 0, -z', '1/2, 1/2, z+1/2'], ['0, 1/2, 1/2', '1/2, 0, 0'], ['0, 1/2, 0', '1/2, 0, 1/2'], ['0, 0, 1/2', '1/2, 1/2, 0'], ['0, 0, 0', '1/2, 1/2, 1/2']]\"\n59,\"[['x, y, z', '-x+1/2, -y+1/2, z', '-x, y+1/2, -z', 'x+1/2, -y, -z', '-x, -y, -z', 'x+1/2, y+1/2, -z', 'x, -y+1/2, z', '-x+1/2, y, z'], ['x, 1/4, z', '-x+1/2, 1/4, z', '-x, 3/4, -z', 'x+1/2, 3/4, -z'], ['1/4, y, z', '1/4, -y+1/2, z', '3/4, y+1/2, -z', '3/4, -y, -z'], ['0, 0, 1/2', '1/2, 1/2, 1/2', '0, 1/2, 1/2', '1/2, 0, 1/2'], ['0, 0, 0', '1/2, 1/2, 0', '0, 1/2, 0', '1/2, 0, 0'], ['1/4, 3/4, z', '3/4, 1/4, -z'], ['1/4, 1/4, z', '3/4, 3/4, -z']]\"\n60,\"[['x, y, z', '-x+1/2, -y+1/2, z+1/2', '-x, y, -z+1/2', 'x+1/2, -y+1/2, -z', '-x, -y, -z', 'x+1/2, y+1/2, -z+1/2', 'x, -y, z+1/2', '-x+1/2, y+1/2, z'], ['0, y, 1/4', '1/2, -y+1/2, 3/4', '0, -y, 3/4', '1/2, y+1/2, 1/4'], ['0, 1/2, 0', '1/2, 0, 1/2', '0, 1/2, 1/2', '1/2, 0, 0'], ['0, 0, 0', '1/2, 1/2, 1/2', '0, 0, 1/2', '1/2, 1/2, 0']]\"\n61,\"[['x, y, z', '-x+1/2, -y, z+1/2', '-x, y+1/2, -z+1/2', 'x+1/2, -y+1/2, -z', '-x, -y, -z', 'x+1/2, y, -z+1/2', 'x, -y+1/2, z+1/2', '-x+1/2, y+1/2, z'], ['0, 0, 1/2', '1/2, 0, 0', '0, 1/2, 0', '1/2, 1/2, 1/2'], ['0, 0, 0', '1/2, 0, 1/2', '0, 1/2, 1/2', '1/2, 1/2, 0']]\"\n62,\"[['x, y, z', '-x+1/2, -y, z+1/2', '-x, y+1/2, -z', 'x+1/2, -y+1/2, -z+1/2', '-x, -y, -z', 'x+1/2, y, -z+1/2', 'x, -y+1/2, z', '-x+1/2, y+1/2, z+1/2'], ['x, 1/4, z', '-x+1/2, 3/4, z+1/2', '-x, 3/4, -z', 'x+1/2, 1/4, -z+1/2'], ['0, 0, 1/2', '1/2, 0, 0', '0, 1/2, 1/2', '1/2, 1/2, 0'], ['0, 0, 0', '1/2, 0, 1/2', '0, 1/2, 0', '1/2, 1/2, 1/2']]\"\n63,\"[['x, y, z', '-x, -y, z+1/2', '-x, y, -z+1/2', 'x, -y, -z', '-x, -y, -z', 'x, y, -z+1/2', 'x, -y, z+1/2', '-x, y, z', 'x+1/2, y+1/2, z', '-x+1/2, -y+1/2, z+1/2', '-x+1/2, y+1/2, -z+1/2', 'x+1/2, -y+1/2, -z', '-x+1/2, -y+1/2, -z', 'x+1/2, y+1/2, -z+1/2', 'x+1/2, -y+1/2, z+1/2', '-x+1/2, y+1/2, z'], ['x, y, 1/4', '-x, -y, 3/4', '-x, y, 1/4', 'x, -y, 3/4', 'x+1/2, y+1/2, 1/4', '-x+1/2, -y+1/2, 3/4', '-x+1/2, y+1/2, 1/4', 'x+1/2, -y+1/2, 3/4'], ['0, y, z', '0, -y, z+1/2', '0, y, -z+1/2', '0, -y, -z', '1/2, y+1/2, z', '1/2, -y+1/2, z+1/2', '1/2, y+1/2, -z+1/2', '1/2, -y+1/2, -z'], ['x, 0, 0', '-x, 0, 1/2', '-x, 0, 0', 'x, 0, 1/2', 'x+1/2, 1/2, 0', '-x+1/2, 1/2, 1/2', '-x+1/2, 1/2, 0', 'x+1/2, 1/2, 1/2'], ['1/4, 1/4, 0', '3/4, 3/4, 1/2', '3/4, 1/4, 1/2', '1/4, 3/4, 0', '3/4, 3/4, 0', '5/4, 5/4, 1/2', '5/4, 3/4, 1/2', '3/4, 5/4, 0'], ['0, y, 1/4', '0, -y, 3/4', '1/2, y+1/2, 1/4', '1/2, -y+1/2, 3/4'], ['0, 1/2, 0', '0, 1/2, 1/2', '1/2, 1, 0', '1/2, 1, 1/2'], ['0, 0, 0', '0, 0, 1/2', '1/2, 1/2, 0', '1/2, 1/2, 1/2']]\"\n64,\"[['x, y, z', '-x, -y+1/2, z+1/2', '-x, y+1/2, -z+1/2', 'x, -y, -z', '-x, -y, -z', 'x, y+1/2, -z+1/2', 'x, -y+1/2, z+1/2', '-x, y, z', 'x+1/2, y+1/2, z', '-x+1/2, -y+1, z+1/2', '-x+1/2, y+1, -z+1/2', 'x+1/2, -y+1/2, -z', '-x+1/2, -y+1/2, -z', 'x+1/2, y+1, -z+1/2', 'x+1/2, -y+1, z+1/2', '-x+1/2, y+1/2, z'], ['0, y, z', '0, -y+1/2, z+1/2', '0, y+1/2, -z+1/2', '0, -y, -z', '1/2, y+1/2, z', '1/2, -y+1, z+1/2', '1/2, y+1, -z+1/2', '1/2, -y+1/2, -z'], ['1/4, y, 1/4', '3/4, -y+1/2, 3/4', '3/4, -y, 3/4', '1/4, y+1/2, 1/4', '3/4, y+1/2, 1/4', '5/4, -y+1, 3/4', '5/4, -y+1/2, 3/4', '3/4, y+1, 1/4'], ['x, 0, 0', '-x, 1/2, 1/2', '-x, 0, 0', 'x, 1/2, 1/2', 'x+1/2, 1/2, 0', '-x+1/2, 1, 1/2', '-x+1/2, 1/2, 0', 'x+1/2, 1, 1/2'], ['1/4, 1/4, 0', '3/4, 1/4, 1/2', '3/4, 3/4, 1/2', '1/4, 3/4, 0', '3/4, 3/4, 0', '5/4, 3/4, 1/2', '5/4, 5/4, 1/2', '3/4, 5/4, 0'], ['1/2, 0, 0', '1/2, 1/2, 1/2', '1, 1/2, 0', '1, 1, 1/2'], ['0, 0, 0', '0, 1/2, 1/2', '1/2, 1/2, 0', '1/2, 1, 1/2']]\"\n65,\"[['x, y, z', '-x, -y, z', '-x, y, -z', 'x, -y, -z', '-x, -y, -z', 'x, y, -z', 'x, -y, z', '-x, y, z', 'x+1/2, y+1/2, z', '-x+1/2, -y+1/2, z', '-x+1/2, y+1/2, -z', 'x+1/2, -y+1/2, -z', '-x+1/2, -y+1/2, -z', 'x+1/2, y+1/2, -z', 'x+1/2, -y+1/2, z', '-x+1/2, y+1/2, z'], ['x, y, 1/2', '-x, -y, 1/2', '-x, y, 1/2', 'x, -y, 1/2', 'x+1/2, y+1/2, 1/2', '-x+1/2, -y+1/2, 1/2', '-x+1/2, y+1/2, 1/2', 'x+1/2, -y+1/2, 1/2'], ['x, y, 0', '-x, -y, 0', '-x, y, 0', 'x, -y, 0', 'x+1/2, y+1/2, 0', '-x+1/2, -y+1/2, 0', '-x+1/2, y+1/2, 0', 'x+1/2, -y+1/2, 0'], ['x, 0, z', '-x, 0, z', '-x, 0, -z', 'x, 0, -z', 'x+1/2, 1/2, z', '-x+1/2, 1/2, z', '-x+1/2, 1/2, -z', 'x+1/2, 1/2, -z'], ['0, y, z', '0, -y, z', '0, y, -z', '0, -y, -z', '1/2, y+1/2, z', '1/2, -y+1/2, z', '1/2, y+1/2, -z', '1/2, -y+1/2, -z'], ['1/4, 1/4, z', '3/4, 1/4, -z', '3/4, 3/4, -z', '1/4, 3/4, z', '3/4, 3/4, z', '5/4, 3/4, -z', '5/4, 5/4, -z', '3/4, 5/4, z'], ['0, 1/2, z', '0, 1/2, -z', '1/2, 1, z', '1/2, 1, -z'], ['0, 0, z', '0, 0, -z', '1/2, 1/2, z', '1/2, 1/2, -z'], ['0, y, 1/2', '0, -y, 1/2', '1/2, y+1/2, 1/2', '1/2, -y+1/2, 1/2'], ['0, y, 0', '0, -y, 0', '1/2, y+1/2, 0', '1/2, -y+1/2, 0'], ['x, 0, 1/2', '-x, 0, 1/2', 'x+1/2, 1/2, 1/2', '-x+1/2, 1/2, 1/2'], ['x, 0, 0', '-x, 0, 0', 'x+1/2, 1/2, 0', '-x+1/2, 1/2, 0'], ['1/4, 1/4, 1/2', '3/4, 1/4, 1/2', '3/4, 3/4, 1/2', '5/4, 3/4, 1/2'], ['1/4, 1/4, 0', '3/4, 1/4, 0', '3/4, 3/4, 0', '5/4, 3/4, 0'], ['0, 0, 1/2', '1/2, 1/2, 1/2'], ['1/2, 0, 1/2', '1, 1/2, 1/2'], ['1/2, 0, 0', '1, 1/2, 0'], ['0, 0, 0', '1/2, 1/2, 0']]\"\n66,\"[['x, y, z', '-x, -y, z', '-x, y, -z+1/2', 'x, -y, -z+1/2', '-x, -y, -z', 'x, y, -z', 'x, -y, z+1/2', '-x, y, z+1/2', 'x+1/2, y+1/2, z', '-x+1/2, -y+1/2, z', '-x+1/2, y+1/2, -z+1/2', 'x+1/2, -y+1/2, -z+1/2', '-x+1/2, -y+1/2, -z', 'x+1/2, y+1/2, -z', 'x+1/2, -y+1/2, z+1/2', '-x+1/2, y+1/2, z+1/2'], ['x, y, 0', '-x, -y, 0', '-x, y, 1/2', 'x, -y, 1/2', 'x+1/2, y+1/2, 0', '-x+1/2, -y+1/2, 0', '-x+1/2, y+1/2, 1/2', 'x+1/2, -y+1/2, 1/2'], ['1/4, 1/4, z', '3/4, 1/4, -z+1/2', '3/4, 3/4, -z', '1/4, 3/4, z+1/2', '3/4, 3/4, z', '5/4, 3/4, -z+1/2', '5/4, 5/4, -z', '3/4, 5/4, z+1/2'], ['0, 1/2, z', '0, 1/2, -z+1/2', '0, 1/2, -z', '0, 1/2, z+1/2', '1/2, 1, z', '1/2, 1, -z+1/2', '1/2, 1, -z', '1/2, 1, z+1/2'], ['0, 0, z', '0, 0, -z+1/2', '0, 0, -z', '0, 0, z+1/2', '1/2, 1/2, z', '1/2, 1/2, -z+1/2', '1/2, 1/2, -z', '1/2, 1/2, z+1/2'], ['0, y, 1/4', '0, -y, 1/4', '0, -y, 3/4', '0, y, 3/4', '1/2, y+1/2, 1/4', '1/2, -y+1/2, 1/4', '1/2, -y+1/2, 3/4', '1/2, y+1/2, 3/4'], ['x, 0, 1/4', '-x, 0, 1/4', '-x, 0, 3/4', 'x, 0, 3/4', 'x+1/2, 1/2, 1/4', '-x+1/2, 1/2, 1/4', '-x+1/2, 1/2, 3/4', 'x+1/2, 1/2, 3/4'], ['1/4, 3/4, 0', '3/4, 3/4, 1/2', '3/4, 5/4, 0', '5/4, 5/4, 1/2'], ['1/4, 1/4, 0', '3/4, 1/4, 1/2', '3/4, 3/4, 0', '5/4, 3/4, 1/2'], ['0, 1/2, 0', '0, 1/2, 1/2', '1/2, 1, 0', '1/2, 1, 1/2'], ['0, 0, 0', '0, 0, 1/2', '1/2, 1/2, 0', '1/2, 1/2, 1/2'], ['0, 1/2, 1/4', '0, 1/2, 3/4', '1/2, 1, 1/4', '1/2, 1, 3/4'], ['0, 0, 1/4', '0, 0, 3/4', '1/2, 1/2, 1/4', '1/2, 1/2, 3/4']]\"\n67,\"[['x, y, z', '-x, -y+1/2, z', '-x, y+1/2, -z', 'x, -y, -z', '-x, -y, -z', 'x, y+1/2, -z', 'x, -y+1/2, z', '-x, y, z', 'x+1/2, y+1/2, z', '-x+1/2, -y+1, z', '-x+1/2, y+1, -z', 'x+1/2, -y+1/2, -z', '-x+1/2, -y+1/2, -z', 'x+1/2, y+1, -z', 'x+1/2, -y+1, z', '-x+1/2, y+1/2, z'], ['x, 1/4, z', '-x, 1/4, z', '-x, 3/4, -z', 'x, 3/4, -z', 'x+1/2, 3/4, z', '-x+1/2, 3/4, z', '-x+1/2, 5/4, -z', 'x+1/2, 5/4, -z'], ['0, y, z', '0, -y+1/2, z', '0, y+1/2, -z', '0, -y, -z', '1/2, y+1/2, z', '1/2, -y+1, z', '1/2, y+1, -z', '1/2, -y+1/2, -z'], ['1/4, 0, z', '3/4, 1/2, -z', '3/4, 0, -z', '1/4, 1/2, z', '3/4, 1/2, z', '5/4, 1, -z', '5/4, 1/2, -z', '3/4, 1, z'], ['1/4, y, 1/2', '3/4, -y+1/2, 1/2', '3/4, -y, 1/2', '1/4, y+1/2, 1/2', '3/4, y+1/2, 1/2', '5/4, -y+1, 1/2', '5/4, -y+1/2, 1/2', '3/4, y+1, 1/2'], ['1/4, y, 0', '3/4, -y+1/2, 0', '3/4, -y, 0', '1/4, y+1/2, 0', '3/4, y+1/2, 0', '5/4, -y+1, 0', '5/4, -y+1/2, 0', '3/4, y+1, 0'], ['x, 0, 1/2', '-x, 1/2, 1/2', '-x, 0, 1/2', 'x, 1/2, 1/2', 'x+1/2, 1/2, 1/2', '-x+1/2, 1, 1/2', '-x+1/2, 1/2, 1/2', 'x+1/2, 1, 1/2'], ['x, 0, 0', '-x, 1/2, 0', '-x, 0, 0', 'x, 1/2, 0', 'x+1/2, 1/2, 0', '-x+1/2, 1, 0', '-x+1/2, 1/2, 0', 'x+1/2, 1, 0'], ['0, 1/4, z', '0, 3/4, -z', '1/2, 3/4, z', '1/2, 5/4, -z'], ['1/4, 1/4, 1/2', '3/4, 1/4, 1/2', '3/4, 3/4, 1/2', '5/4, 3/4, 1/2'], ['1/4, 1/4, 0', '3/4, 1/4, 0', '3/4, 3/4, 0', '5/4, 3/4, 0'], ['0, 0, 1/2', '0, 1/2, 1/2', '1/2, 1/2, 1/2', '1/2, 1, 1/2'], ['0, 0, 0', '0, 1/2, 0', '1/2, 1/2, 0', '1/2, 1, 0'], ['1/4, 0, 1/2', '3/4, 0, 1/2', '3/4, 1/2, 1/2', '5/4, 1/2, 1/2'], ['1/4, 0, 0', '3/4, 0, 0', '3/4, 1/2, 0', '5/4, 1/2, 0']]\"\n68,\"[['x, y, z', '-x+1/2, -y, z', '-x, y, -z+1/2', 'x+1/2, -y, -z+1/2', '-x, -y, -z', 'x+1/2, y, -z', 'x, -y, z+1/2', '-x+1/2, y, z+1/2', 'x+1/2, y+1/2, z', '-x+1, -y+1/2, z', '-x+1/2, y+1/2, -z+1/2', 'x+1, -y+1/2, -z+1/2', '-x+1/2, -y+1/2, -z', 'x+1, y+1/2, -z', 'x+1/2, -y+1/2, z+1/2', '-x+1, y+1/2, z+1/2'], ['1/4, 0, z', '3/4, 0, -z+1/2', '3/4, 0, -z', '1/4, 0, z+1/2', '3/4, 1/2, z', '5/4, 1/2, -z+1/2', '5/4, 1/2, -z', '3/4, 1/2, z+1/2'], ['0, 1/4, z', '0, 1/4, -z+1/2', '0, 3/4, -z', '0, 3/4, z+1/2', '1/2, 3/4, z', '1/2, 3/4, -z+1/2', '1/2, 5/4, -z', '1/2, 5/4, z+1/2'], ['0, y, 1/4', '1/2, -y, 1/4', '0, -y, 3/4', '1/2, y, 3/4', '1/2, y+1/2, 1/4', '1, -y+1/2, 1/4', '1/2, -y+1/2, 3/4', '1, y+1/2, 3/4'], ['x, 1/4, 1/4', '-x+1/2, 3/4, 1/4', '-x, 3/4, 3/4', 'x+1/2, 1/4, 3/4', 'x+1/2, 3/4, 1/4', '-x+1, 5/4, 1/4', '-x+1/2, 5/4, 3/4', 'x+1, 3/4, 3/4'], ['0, 0, 0', '1/2, 0, 0', '0, 0, 1/2', '1/2, 0, 1/2', '1/2, 1/2, 0', '1, 1/2, 0', '1/2, 1/2, 1/2', '1, 1/2, 1/2'], ['1/4, 3/4, 0', '1/4, 1/4, 0', '3/4, 3/4, 1/2', '3/4, 1/4, 1/2', '3/4, 5/4, 0', '3/4, 3/4, 0', '5/4, 5/4, 1/2', '5/4, 3/4, 1/2'], ['0, 1/4, 3/4', '0, 3/4, 1/4', '1/2, 3/4, 3/4', '1/2, 5/4, 1/4'], ['0, 1/4, 1/4', '0, 3/4, 3/4', '1/2, 3/4, 1/4', '1/2, 5/4, 3/4']]\"\n69,\"[['x, y, z', '-x, -y, z', '-x, y, -z', 'x, -y, -z', '-x, -y, -z', 'x, y, -z', 'x, -y, z', '-x, y, z', 'x, y+1/2, z+1/2', '-x, -y+1/2, z+1/2', '-x, y+1/2, -z+1/2', 'x, -y+1/2, -z+1/2', '-x, -y+1/2, -z+1/2', 'x, y+1/2, -z+1/2', 'x, -y+1/2, z+1/2', '-x, y+1/2, z+1/2', 'x+1/2, y, z+1/2', '-x+1/2, -y, z+1/2', '-x+1/2, y, -z+1/2', 'x+1/2, -y, -z+1/2', '-x+1/2, -y, -z+1/2', 'x+1/2, y, -z+1/2', 'x+1/2, -y, z+1/2', '-x+1/2, y, z+1/2', 'x+1/2, y+1/2, z', '-x+1/2, -y+1/2, z', '-x+1/2, y+1/2, -z', 'x+1/2, -y+1/2, -z', '-x+1/2, -y+1/2, -z', 'x+1/2, y+1/2, -z', 'x+1/2, -y+1/2, z', '-x+1/2, y+1/2, z'], ['x, y, 0', '-x, -y, 0', '-x, y, 0', 'x, -y, 0', 'x, y+1/2, 1/2', '-x, -y+1/2, 1/2', '-x, y+1/2, 1/2', 'x, -y+1/2, 1/2', 'x+1/2, y, 1/2', '-x+1/2, -y, 1/2', '-x+1/2, y, 1/2', 'x+1/2, -y, 1/2', 'x+1/2, y+1/2, 0', '-x+1/2, -y+1/2, 0', '-x+1/2, y+1/2, 0', 'x+1/2, -y+1/2, 0'], ['x, 0, z', '-x, 0, z', '-x, 0, -z', 'x, 0, -z', 'x, 1/2, z+1/2', '-x, 1/2, z+1/2', '-x, 1/2, -z+1/2', 'x, 1/2, -z+1/2', 'x+1/2, 0, z+1/2', '-x+1/2, 0, z+1/2', '-x+1/2, 0, -z+1/2', 'x+1/2, 0, -z+1/2', 'x+1/2, 1/2, z', '-x+1/2, 1/2, z', '-x+1/2, 1/2, -z', 'x+1/2, 1/2, -z'], ['0, y, z', '0, -y, z', '0, y, -z', '0, -y, -z', '0, y+1/2, z+1/2', '0, -y+1/2, z+1/2', '0, y+1/2, -z+1/2', '0, -y+1/2, -z+1/2', '1/2, y, z+1/2', '1/2, -y, z+1/2', '1/2, y, -z+1/2', '1/2, -y, -z+1/2', '1/2, y+1/2, z', '1/2, -y+1/2, z', '1/2, y+1/2, -z', '1/2, -y+1/2, -z'], ['x, 1/4, 1/4', '-x, 3/4, 1/4', '-x, 3/4, 3/4', 'x, 1/4, 3/4', 'x, 3/4, 3/4', '-x, 5/4, 3/4', '-x, 5/4, 5/4', 'x, 3/4, 5/4', 'x+1/2, 1/4, 3/4', '-x+1/2, 3/4, 3/4', '-x+1/2, 3/4, 5/4', 'x+1/2, 1/4, 5/4', 'x+1/2, 3/4, 1/4', '-x+1/2, 5/4, 1/4', '-x+1/2, 5/4, 3/4', 'x+1/2, 3/4, 3/4'], ['1/4, y, 1/4', '3/4, -y, 1/4', '3/4, -y, 3/4', '1/4, y, 3/4', '1/4, y+1/2, 3/4', '3/4, -y+1/2, 3/4', '3/4, -y+1/2, 5/4', '1/4, y+1/2, 5/4', '3/4, y, 3/4', '5/4, -y, 3/4', '5/4, -y, 5/4', '3/4, y, 5/4', '3/4, y+1/2, 1/4', '5/4, -y+1/2, 1/4', '5/4, -y+1/2, 3/4', '3/4, y+1/2, 3/4'], ['1/4, 1/4, z', '3/4, 1/4, -z', '3/4, 3/4, -z', '1/4, 3/4, z', '1/4, 3/4, z+1/2', '3/4, 3/4, -z+1/2', '3/4, 5/4, -z+1/2', '1/4, 5/4, z+1/2', '3/4, 1/4, z+1/2', '5/4, 1/4, -z+1/2', '5/4, 3/4, -z+1/2', '3/4, 3/4, z+1/2', '3/4, 3/4, z', '5/4, 3/4, -z', '5/4, 5/4, -z', '3/4, 5/4, z'], ['0, 0, z', '0, 0, -z', '0, 1/2, z+1/2', '0, 1/2, -z+1/2', '1/2, 0, z+1/2', '1/2, 0, -z+1/2', '1/2, 1/2, z', '1/2, 1/2, -z'], ['0, y, 0', '0, -y, 0', '0, y+1/2, 1/2', '0, -y+1/2, 1/2', '1/2, y, 1/2', '1/2, -y, 1/2', '1/2, y+1/2, 0', '1/2, -y+1/2, 0'], ['x, 0, 0', '-x, 0, 0', 'x, 1/2, 1/2', '-x, 1/2, 1/2', 'x+1/2, 0, 1/2', '-x+1/2, 0, 1/2', 'x+1/2, 1/2, 0', '-x+1/2, 1/2, 0'], ['1/4, 1/4, 1/4', '3/4, 3/4, 3/4', '1/4, 3/4, 3/4', '3/4, 5/4, 5/4', '3/4, 1/4, 3/4', '5/4, 3/4, 5/4', '3/4, 3/4, 1/4', '5/4, 5/4, 3/4'], ['1/4, 1/4, 0', '3/4, 1/4, 0', '1/4, 3/4, 1/2', '3/4, 3/4, 1/2', '3/4, 1/4, 1/2', '5/4, 1/4, 1/2', '3/4, 3/4, 0', '5/4, 3/4, 0'], ['1/4, 0, 1/4', '3/4, 0, 1/4', '1/4, 1/2, 3/4', '3/4, 1/2, 3/4', '3/4, 0, 3/4', '5/4, 0, 3/4', '3/4, 1/2, 1/4', '5/4, 1/2, 1/4'], ['0, 1/4, 1/4', '0, 3/4, 1/4', '0, 3/4, 3/4', '0, 5/4, 3/4', '1/2, 1/4, 3/4', '1/2, 3/4, 3/4', '1/2, 3/4, 1/4', '1/2, 5/4, 1/4'], ['0, 0, 1/2', '0, 1/2, 1', '1/2, 0, 1', '1/2, 1/2, 1/2'], ['0, 0, 0', '0, 1/2, 1/2', '1/2, 0, 1/2', '1/2, 1/2, 0']]\"\n70,\"[['x, y, z', '-x+3/4, -y+3/4, z', '-x+3/4, y, -z+3/4', 'x, -y+3/4, -z+3/4', '-x, -y, -z', 'x+1/4, y+1/4, -z', 'x+1/4, -y, z+1/4', '-x, y+1/4, z+1/4', 'x, y+1/2, z+1/2', '-x+3/4, -y+5/4, z+1/2', '-x+3/4, y+1/2, -z+5/4', 'x, -y+5/4, -z+5/4', '-x, -y+1/2, -z+1/2', 'x+1/4, y+3/4, -z+1/2', 'x+1/4, -y+1/2, z+3/4', '-x, y+3/4, z+3/4', 'x+1/2, y, z+1/2', '-x+5/4, -y+3/4, z+1/2', '-x+5/4, y, -z+5/4', 'x+1/2, -y+3/4, -z+5/4', '-x+1/2, -y, -z+1/2', 'x+3/4, y+1/4, -z+1/2', 'x+3/4, -y, z+3/4', '-x+1/2, y+1/4, z+3/4', 'x+1/2, y+1/2, z', '-x+5/4, -y+5/4, z', '-x+5/4, y+1/2, -z+3/4', 'x+1/2, -y+5/4, -z+3/4', '-x+1/2, -y+1/2, -z', 'x+3/4, y+3/4, -z', 'x+3/4, -y+1/2, z+1/4', '-x+1/2, y+3/4, z+1/4'], ['1/8, 1/8, z', '5/8, 1/8, -z+3/4', '7/8, 7/8, -z', '3/8, 7/8, z+1/4', '1/8, 5/8, z+1/2', '5/8, 5/8, -z+5/4', '7/8, 11/8, -z+1/2', '3/8, 11/8, z+3/4', '5/8, 1/8, z+1/2', '9/8, 1/8, -z+5/4', '11/8, 7/8, -z+1/2', '7/8, 7/8, z+3/4', '5/8, 5/8, z', '9/8, 5/8, -z+3/4', '11/8, 11/8, -z', '7/8, 11/8, z+1/4'], ['1/8, y, 1/8', '5/8, -y+3/4, 1/8', '7/8, -y, 7/8', '3/8, y+1/4, 7/8', '1/8, y+1/2, 5/8', '5/8, -y+5/4, 5/8', '7/8, -y+1/2, 11/8', '3/8, y+3/4, 11/8', '5/8, y, 5/8', '9/8, -y+3/4, 5/8', '11/8, -y, 11/8', '7/8, y+1/4, 11/8', '5/8, y+1/2, 1/8', '9/8, -y+5/4, 1/8', '11/8, -y+1/2, 7/8', '7/8, y+3/4, 7/8'], ['x, 1/8, 1/8', '-x+3/4, 5/8, 1/8', '-x, 7/8, 7/8', 'x+1/4, 3/8, 7/8', 'x, 5/8, 5/8', '-x+3/4, 9/8, 5/8', '-x, 11/8, 11/8', 'x+1/4, 7/8, 11/8', 'x+1/2, 1/8, 5/8', '-x+5/4, 5/8, 5/8', '-x+1/2, 7/8, 11/8', 'x+3/4, 3/8, 11/8', 'x+1/2, 5/8, 1/8', '-x+5/4, 9/8, 1/8', '-x+1/2, 11/8, 7/8', 'x+3/4, 7/8, 7/8'], ['1/2, 1/2, 1/2', '1/4, 1/4, 1/2', '1/4, 1/2, 1/4', '1/2, 1/4, 1/4', '1/2, 1, 1', '1/4, 3/4, 1', '1/4, 1, 3/4', '1/2, 3/4, 3/4', '1, 1/2, 1', '3/4, 1/4, 1', '3/4, 1/2, 3/4', '1, 1/4, 3/4', '1, 1, 1/2', '3/4, 3/4, 1/2', '3/4, 1, 1/4', '1, 3/4, 1/4'], ['0, 0, 0', '3/4, 3/4, 0', '3/4, 0, 3/4', '0, 3/4, 3/4', '0, 1/2, 1/2', '3/4, 5/4, 1/2', '3/4, 1/2, 5/4', '0, 5/4, 5/4', '1/2, 0, 1/2', '5/4, 3/4, 1/2', '5/4, 0, 5/4', '1/2, 3/4, 5/4', '1/2, 1/2, 0', '5/4, 5/4, 0', '5/4, 1/2, 3/4', '1/2, 5/4, 3/4'], ['1/8, 1/8, 5/8', '7/8, 7/8, 3/8', '1/8, 5/8, 9/8', '7/8, 11/8, 7/8', '5/8, 1/8, 9/8', '11/8, 7/8, 7/8', '5/8, 5/8, 5/8', '11/8, 11/8, 3/8'], ['1/8, 1/8, 1/8', '7/8, 7/8, 7/8', '1/8, 5/8, 5/8', '7/8, 11/8, 11/8', '5/8, 1/8, 5/8', '11/8, 7/8, 11/8', '5/8, 5/8, 1/8', '11/8, 11/8, 7/8']]\"\n71,\"[['x, y, z', '-x, -y, z', '-x, y, -z', 'x, -y, -z', '-x, -y, -z', 'x, y, -z', 'x, -y, z', '-x, y, z', 'x+1/2, y+1/2, z+1/2', '-x+1/2, -y+1/2, z+1/2', '-x+1/2, y+1/2, -z+1/2', 'x+1/2, -y+1/2, -z+1/2', '-x+1/2, -y+1/2, -z+1/2', 'x+1/2, y+1/2, -z+1/2', 'x+1/2, -y+1/2, z+1/2', '-x+1/2, y+1/2, z+1/2'], ['x, y, 0', '-x, -y, 0', '-x, y, 0', 'x, -y, 0', 'x+1/2, y+1/2, 1/2', '-x+1/2, -y+1/2, 1/2', '-x+1/2, y+1/2, 1/2', 'x+1/2, -y+1/2, 1/2'], ['x, 0, z', '-x, 0, z', '-x, 0, -z', 'x, 0, -z', 'x+1/2, 1/2, z+1/2', '-x+1/2, 1/2, z+1/2', '-x+1/2, 1/2, -z+1/2', 'x+1/2, 1/2, -z+1/2'], ['0, y, z', '0, -y, z', '0, y, -z', '0, -y, -z', '1/2, y+1/2, z+1/2', '1/2, -y+1/2, z+1/2', '1/2, y+1/2, -z+1/2', '1/2, -y+1/2, -z+1/2'], ['1/4, 1/4, 1/4', '3/4, 3/4, 1/4', '3/4, 1/4, 3/4', '1/4, 3/4, 3/4', '3/4, 3/4, 3/4', '5/4, 5/4, 3/4', '5/4, 3/4, 5/4', '3/4, 5/4, 5/4'], ['1/2, 0, z', '1/2, 0, -z', '1, 1/2, z+1/2', '1, 1/2, -z+1/2'], ['0, 0, z', '0, 0, -z', '1/2, 1/2, z+1/2', '1/2, 1/2, -z+1/2'], ['0, y, 1/2', '0, -y, 1/2', '1/2, y+1/2, 1', '1/2, -y+1/2, 1'], ['0, y, 0', '0, -y, 0', '1/2, y+1/2, 1/2', '1/2, -y+1/2, 1/2'], ['x, 1/2, 0', '-x, 1/2, 0', 'x+1/2, 1, 1/2', '-x+1/2, 1, 1/2'], ['x, 0, 0', '-x, 0, 0', 'x+1/2, 1/2, 1/2', '-x+1/2, 1/2, 1/2'], ['1/2, 0, 1/2', '1, 1/2, 1'], ['1/2, 1/2, 0', '1, 1, 1/2'], ['0, 1/2, 1/2', '1/2, 1, 1'], ['0, 0, 0', '1/2, 1/2, 1/2']]\"\n72,\"[['x, y, z', '-x, -y, z', '-x+1/2, y+1/2, -z', 'x+1/2, -y+1/2, -z', '-x, -y, -z', 'x, y, -z', 'x+1/2, -y+1/2, z', '-x+1/2, y+1/2, z', 'x+1/2, y+1/2, z+1/2', '-x+1/2, -y+1/2, z+1/2', '-x+1, y+1, -z+1/2', 'x+1, -y+1, -z+1/2', '-x+1/2, -y+1/2, -z+1/2', 'x+1/2, y+1/2, -z+1/2', 'x+1, -y+1, z+1/2', '-x+1, y+1, z+1/2'], ['x, y, 0', '-x, -y, 0', '-x+1/2, y+1/2, 0', 'x+1/2, -y+1/2, 0', 'x+1/2, y+1/2, 1/2', '-x+1/2, -y+1/2, 1/2', '-x+1, y+1, 1/2', 'x+1, -y+1, 1/2'], ['0, 1/2, z', '1/2, 0, -z', '0, 1/2, -z', '1/2, 0, z', '1/2, 1, z+1/2', '1, 1/2, -z+1/2', '1/2, 1, -z+1/2', '1, 1/2, z+1/2'], ['0, 0, z', '1/2, 1/2, -z', '0, 0, -z', '1/2, 1/2, z', '1/2, 1/2, z+1/2', '1, 1, -z+1/2', '1/2, 1/2, -z+1/2', '1, 1, z+1/2'], ['0, y, 1/4', '0, -y, 1/4', '0, -y, 3/4', '0, y, 3/4', '1/2, y+1/2, 3/4', '1/2, -y+1/2, 3/4', '1/2, -y+1/2, 5/4', '1/2, y+1/2, 5/4'], ['x, 0, 1/4', '-x, 0, 1/4', '-x, 0, 3/4', 'x, 0, 3/4', 'x+1/2, 1/2, 3/4', '-x+1/2, 1/2, 3/4', '-x+1/2, 1/2, 5/4', 'x+1/2, 1/2, 5/4'], ['1/4, 1/4, 1/4', '3/4, 3/4, 1/4', '1/4, 3/4, 3/4', '3/4, 1/4, 3/4', '3/4, 3/4, 3/4', '5/4, 5/4, 3/4', '3/4, 5/4, 5/4', '5/4, 3/4, 5/4'], ['1/2, 0, 0', '0, 1/2, 0', '1, 1/2, 1/2', '1/2, 1, 1/2'], ['0, 0, 0', '1/2, 1/2, 0', '1/2, 1/2, 1/2', '1, 1, 1/2'], ['1/2, 0, 1/4', '1/2, 0, 3/4', '1, 1/2, 3/4', '1, 1/2, 5/4'], ['0, 0, 1/4', '0, 0, 3/4', '1/2, 1/2, 3/4', '1/2, 1/2, 5/4']]\"\n73,\"[['x, y, z', '-x+1/2, -y, z+1/2', '-x, y+1/2, -z+1/2', 'x+1/2, -y+1/2, -z', '-x, -y, -z', 'x+1/2, y, -z+1/2', 'x, -y+1/2, z+1/2', '-x+1/2, y+1/2, z', 'x+1/2, y+1/2, z+1/2', '-x+1, -y+1/2, z+1', '-x+1/2, y+1, -z+1', 'x+1, -y+1, -z+1/2', '-x+1/2, -y+1/2, -z+1/2', 'x+1, y+1/2, -z+1', 'x+1/2, -y+1, z+1', '-x+1, y+1, z+1/2'], ['0, 1/4, z', '0, 3/4, -z+1/2', '0, 3/4, -z', '0, 1/4, z+1/2', '1/2, 3/4, z+1/2', '1/2, 5/4, -z+1', '1/2, 5/4, -z+1/2', '1/2, 3/4, z+1'], ['1/4, y, 0', '1/4, -y, 1/2', '3/4, -y, 0', '3/4, y, 1/2', '3/4, y+1/2, 1/2', '3/4, -y+1/2, 1', '5/4, -y+1/2, 1/2', '5/4, y+1/2, 1'], ['x, 0, 1/4', '-x+1/2, 0, 3/4', '-x, 0, 3/4', 'x+1/2, 0, 1/4', 'x+1/2, 1/2, 3/4', '-x+1, 1/2, 5/4', '-x+1/2, 1/2, 5/4', 'x+1, 1/2, 3/4'], ['1/4, 1/4, 1/4', '1/4, 3/4, 3/4', '3/4, 3/4, 1/4', '3/4, 1/4, 3/4', '3/4, 3/4, 3/4', '3/4, 5/4, 5/4', '5/4, 5/4, 3/4', '5/4, 3/4, 5/4'], ['0, 0, 0', '1/2, 0, 1/2', '0, 1/2, 1/2', '1/2, 1/2, 0', '1/2, 1/2, 1/2', '1, 1/2, 1', '1/2, 1, 1', '1, 1, 1/2']]\"\n74,\"[['x, y, z', '-x, -y+1/2, z', '-x, y+1/2, -z', 'x, -y, -z', '-x, -y, -z', 'x, y+1/2, -z', 'x, -y+1/2, z', '-x, y, z', 'x+1/2, y+1/2, z+1/2', '-x+1/2, -y+1, z+1/2', '-x+1/2, y+1, -z+1/2', 'x+1/2, -y+1/2, -z+1/2', '-x+1/2, -y+1/2, -z+1/2', 'x+1/2, y+1, -z+1/2', 'x+1/2, -y+1, z+1/2', '-x+1/2, y+1/2, z+1/2'], ['x, 1/4, z', '-x, 1/4, z', '-x, 3/4, -z', 'x, 3/4, -z', 'x+1/2, 3/4, z+1/2', '-x+1/2, 3/4, z+1/2', '-x+1/2, 5/4, -z+1/2', 'x+1/2, 5/4, -z+1/2'], ['0, y, z', '0, -y+1/2, z', '0, y+1/2, -z', '0, -y, -z', '1/2, y+1/2, z+1/2', '1/2, -y+1, z+1/2', '1/2, y+1, -z+1/2', '1/2, -y+1/2, -z+1/2'], ['1/4, y, 1/4', '3/4, -y+1/2, 1/4', '3/4, -y, 3/4', '1/4, y+1/2, 3/4', '3/4, y+1/2, 3/4', '5/4, -y+1, 3/4', '5/4, -y+1/2, 5/4', '3/4, y+1, 5/4'], ['x, 0, 0', '-x, 1/2, 0', '-x, 0, 0', 'x, 1/2, 0', 'x+1/2, 1/2, 1/2', '-x+1/2, 1, 1/2', '-x+1/2, 1/2, 1/2', 'x+1/2, 1, 1/2'], ['0, 1/4, z', '0, 3/4, -z', '1/2, 3/4, z+1/2', '1/2, 5/4, -z+1/2'], ['1/4, 1/4, 3/4', '3/4, 1/4, 3/4', '3/4, 3/4, 5/4', '5/4, 3/4, 5/4'], ['1/4, 1/4, 1/4', '3/4, 1/4, 1/4', '3/4, 3/4, 3/4', '5/4, 3/4, 3/4'], ['0, 0, 1/2', '0, 1/2, 1/2', '1/2, 1/2, 1', '1/2, 1, 1'], ['0, 0, 0', '0, 1/2, 0', '1/2, 1/2, 1/2', '1/2, 1, 1/2']]\"\n75,\"[['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z'], ['0, 1/2, z', '1/2, 0, z'], ['1/2, 1/2, z'], ['0, 0, z']]\"\n76,\"[['x, y, z', '-x, -y, z+1/2', '-y, x, z+1/4', 'y, -x, z+3/4']]\"\n77,\"[['x, y, z', '-x, -y, z', '-y, x, z+1/2', 'y, -x, z+1/2'], ['0, 1/2, z', '1/2, 0, z+1/2'], ['1/2, 1/2, z', '1/2, 1/2, z+1/2'], ['0, 0, z', '0, 0, z+1/2']]\"\n78,\"[['x, y, z', '-x, -y, z+1/2', '-y, x, z+3/4', 'y, -x, z+1/4']]\"\n79,\"[['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z', 'x+1/2, y+1/2, z+1/2', '-x+1/2, -y+1/2, z+1/2', '-y+1/2, x+1/2, z+1/2', 'y+1/2, -x+1/2, z+1/2'], ['0, 1/2, z', '1/2, 0, z', '1/2, 1, z+1/2', '1, 1/2, z+1/2'], ['0, 0, z', '1/2, 1/2, z+1/2']]\"\n80,\"[['x, y, z', '-x+1/2, -y+1/2, z+1/2', '-y, x+1/2, z+1/4', 'y+1/2, -x, z+3/4', 'x+1/2, y+1/2, z+1/2', '-x+1, -y+1, z+1', '-y+1/2, x+1, z+3/4', 'y+1, -x+1/2, z+5/4'], ['0, 0, z', '0, 1/2, z+1/4', '1/2, 1/2, z+1/2', '1/2, 1, z+3/4']]\"\n81,\"[['x, y, z', '-x, -y, z', 'y, -x, -z', '-y, x, -z'], ['0, 1/2, z', '1/2, 0, -z'], ['1/2, 1/2, z', '1/2, 1/2, -z'], ['0, 0, z', '0, 0, -z'], ['1/2, 1/2, 1/2'], ['1/2, 1/2, 0'], ['0, 0, 1/2'], ['0, 0, 0']]\"\n82,\"[['x, y, z', '-x, -y, z', 'y, -x, -z', '-y, x, -z', 'x+1/2, y+1/2, z+1/2', '-x+1/2, -y+1/2, z+1/2', 'y+1/2, -x+1/2, -z+1/2', '-y+1/2, x+1/2, -z+1/2'], ['0, 1/2, z', '1/2, 0, -z', '1/2, 1, z+1/2', '1, 1/2, -z+1/2'], ['0, 0, z', '0, 0, -z', '1/2, 1/2, z+1/2', '1/2, 1/2, -z+1/2'], ['0, 1/2, 3/4', '1/2, 1, 5/4'], ['0, 1/2, 1/4', '1/2, 1, 3/4'], ['0, 0, 1/2', '1/2, 1/2, 1'], ['0, 0, 0', '1/2, 1/2, 1/2']]\"\n83,\"[['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z', '-x, -y, -z', 'x, y, -z', 'y, -x, -z', '-y, x, -z'], ['x, y, 1/2', '-x, -y, 1/2', '-y, x, 1/2', 'y, -x, 1/2'], ['x, y, 0', '-x, -y, 0', '-y, x, 0', 'y, -x, 0'], ['0, 1/2, z', '1/2, 0, z', '0, 1/2, -z', '1/2, 0, -z'], ['1/2, 1/2, z', '1/2, 1/2, -z'], ['0, 0, z', '0, 0, -z'], ['0, 1/2, 1/2', '1/2, 0, 1/2'], ['0, 1/2, 0', '1/2, 0, 0'], ['1/2, 1/2, 1/2'], ['1/2, 1/2, 0'], ['0, 0, 1/2'], ['0, 0, 0']]\"\n84,\"[['x, y, z', '-x, -y, z', '-y, x, z+1/2', 'y, -x, z+1/2', '-x, -y, -z', 'x, y, -z', 'y, -x, -z+1/2', '-y, x, -z+1/2'], ['x, y, 0', '-x, -y, 0', '-y, x, 1/2', 'y, -x, 1/2'], ['0, 1/2, z', '1/2, 0, z+1/2', '0, 1/2, -z', '1/2, 0, -z+1/2'], ['1/2, 1/2, z', '1/2, 1/2, z+1/2', '1/2, 1/2, -z', '1/2, 1/2, -z+1/2'], ['0, 0, z', '0, 0, z+1/2', '0, 0, -z', '0, 0, -z+1/2'], ['1/2, 1/2, 1/4', '1/2, 1/2, 3/4'], ['0, 0, 1/4', '0, 0, 3/4'], ['0, 1/2, 1/2', '1/2, 0, 0'], ['0, 1/2, 0', '1/2, 0, 1/2'], ['1/2, 1/2, 0', '1/2, 1/2, 1/2'], ['0, 0, 0', '0, 0, 1/2']]\"\n85,\"[['x, y, z', '-x+1/2, -y+1/2, z', '-y+1/2, x, z', 'y, -x+1/2, z', '-x, -y, -z', 'x+1/2, y+1/2, -z', 'y+1/2, -x, -z', '-y, x+1/2, -z'], ['1/4, 3/4, z', '3/4, 1/4, z', '3/4, 1/4, -z', '1/4, 3/4, -z'], ['0, 0, 1/2', '1/2, 1/2, 1/2', '1/2, 0, 1/2', '0, 1/2, 1/2'], ['0, 0, 0', '1/2, 1/2, 0', '1/2, 0, 0', '0, 1/2, 0'], ['1/4, 1/4, z', '3/4, 3/4, -z'], ['1/4, 3/4, 1/2', '3/4, 1/4, 1/2'], ['1/4, 3/4, 0', '3/4, 1/4, 0']]\"\n86,\"[['x, y, z', '-x+1/2, -y+1/2, z', '-y, x+1/2, z+1/2', 'y+1/2, -x, z+1/2', '-x, -y, -z', 'x+1/2, y+1/2, -z', 'y, -x+1/2, -z+1/2', '-y+1/2, x, -z+1/2'], ['1/4, 1/4, z', '3/4, 3/4, z+1/2', '3/4, 3/4, -z', '1/4, 1/4, -z+1/2'], ['3/4, 1/4, z', '3/4, 1/4, z+1/2', '1/4, 3/4, -z', '1/4, 3/4, -z+1/2'], ['0, 0, 1/2', '1/2, 1/2, 1/2', '0, 1/2, 0', '1/2, 0, 0'], ['0, 0, 0', '1/2, 1/2, 0', '0, 1/2, 1/2', '1/2, 0, 1/2'], ['1/4, 1/4, 3/4', '3/4, 3/4, 1/4'], ['1/4, 1/4, 1/4', '3/4, 3/4, 3/4']]\"\n87,\"[['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z', '-x, -y, -z', 'x, y, -z', 'y, -x, -z', '-y, x, -z', 'x+1/2, y+1/2, z+1/2', '-x+1/2, -y+1/2, z+1/2', '-y+1/2, x+1/2, z+1/2', 'y+1/2, -x+1/2, z+1/2', '-x+1/2, -y+1/2, -z+1/2', 'x+1/2, y+1/2, -z+1/2', 'y+1/2, -x+1/2, -z+1/2', '-y+1/2, x+1/2, -z+1/2'], ['x, y, 0', '-x, -y, 0', '-y, x, 0', 'y, -x, 0', 'x+1/2, y+1/2, 1/2', '-x+1/2, -y+1/2, 1/2', '-y+1/2, x+1/2, 1/2', 'y+1/2, -x+1/2, 1/2'], ['0, 1/2, z', '1/2, 0, z', '0, 1/2, -z', '1/2, 0, -z', '1/2, 1, z+1/2', '1, 1/2, z+1/2', '1/2, 1, -z+1/2', '1, 1/2, -z+1/2'], ['1/4, 1/4, 1/4', '3/4, 3/4, 1/4', '3/4, 1/4, 1/4', '1/4, 3/4, 1/4', '3/4, 3/4, 3/4', '5/4, 5/4, 3/4', '5/4, 3/4, 3/4', '3/4, 5/4, 3/4'], ['0, 0, z', '0, 0, -z', '1/2, 1/2, z+1/2', '1/2, 1/2, -z+1/2'], ['0, 1/2, 1/4', '1/2, 0, 1/4', '1/2, 1, 3/4', '1, 1/2, 3/4'], ['0, 1/2, 0', '1/2, 0, 0', '1/2, 1, 1/2', '1, 1/2, 1/2'], ['0, 0, 1/2', '1/2, 1/2, 1'], ['0, 0, 0', '1/2, 1/2, 1/2']]\"\n88,\"[['x, y, z', '-x+1/2, -y, z+1/2', '-y+3/4, x+1/4, z+1/4', 'y+3/4, -x+3/4, z+3/4', '-x, -y, -z', 'x+1/2, y, -z+1/2', 'y+1/4, -x+3/4, -z+3/4', '-y+1/4, x+1/4, -z+1/4', 'x+1/2, y+1/2, z+1/2', '-x+1, -y+1/2, z+1', '-y+5/4, x+3/4, z+3/4', 'y+5/4, -x+5/4, z+5/4', '-x+1/2, -y+1/2, -z+1/2', 'x+1, y+1/2, -z+1', 'y+3/4, -x+5/4, -z+5/4', '-y+3/4, x+3/4, -z+3/4'], ['0, 1/4, z', '1/2, 1/4, z+1/4', '0, 3/4, -z', '1/2, 3/4, -z+3/4', '1/2, 3/4, z+1/2', '1, 3/4, z+3/4', '1/2, 5/4, -z+1/2', '1, 5/4, -z+5/4'], ['0, 0, 1/2', '1/2, 0, 0', '3/4, 1/4, 3/4', '3/4, 3/4, 1/4', '1/2, 1/2, 1', '1, 1/2, 1/2', '5/4, 3/4, 5/4', '5/4, 5/4, 3/4'], ['0, 0, 0', '1/2, 0, 1/2', '3/4, 1/4, 1/4', '3/4, 3/4, 3/4', '1/2, 1/2, 1/2', '1, 1/2, 1', '5/4, 3/4, 3/4', '5/4, 5/4, 5/4'], ['0, 1/4, 5/8', '1/2, 1/4, 7/8', '1/2, 3/4, 9/8', '1, 3/4, 11/8'], ['0, 1/4, 1/8', '1/2, 1/4, 3/8', '1/2, 3/4, 5/8', '1, 3/4, 7/8']]\"\n89,\"[['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z', '-x, y, -z', 'x, -y, -z', 'y, x, -z', '-y, -x, -z'], ['x, 1/2, 0', '-x, 1/2, 0', '1/2, x, 0', '1/2, -x, 0'], ['x, 0, 1/2', '-x, 0, 1/2', '0, x, 1/2', '0, -x, 1/2'], ['x, 1/2, 1/2', '-x, 1/2, 1/2', '1/2, x, 1/2', '1/2, -x, 1/2'], ['x, 0, 0', '-x, 0, 0', '0, x, 0', '0, -x, 0'], ['x, x, 1/2', '-x, -x, 1/2', '-x, x, 1/2', 'x, -x, 1/2'], ['x, x, 0', '-x, -x, 0', '-x, x, 0', 'x, -x, 0'], ['0, 1/2, z', '1/2, 0, z', '0, 1/2, -z', '1/2, 0, -z'], ['1/2, 1/2, z', '1/2, 1/2, -z'], ['0, 0, z', '0, 0, -z'], ['1/2, 0, 1/2', '0, 1/2, 1/2'], ['1/2, 0, 0', '0, 1/2, 0'], ['1/2, 1/2, 1/2'], ['1/2, 1/2, 0'], ['0, 0, 1/2'], ['0, 0, 0']]\"\n90,\"[['x, y, z', '-x, -y, z', '-y+1/2, x+1/2, z', 'y+1/2, -x+1/2, z', '-x+1/2, y+1/2, -z', 'x+1/2, -y+1/2, -z', 'y, x, -z', '-y, -x, -z'], ['x, x, 1/2', '-x, -x, 1/2', '-x+1/2, x+1/2, 1/2', 'x+1/2, -x+1/2, 1/2'], ['x, x, 0', '-x, -x, 0', '-x+1/2, x+1/2, 0', 'x+1/2, -x+1/2, 0'], ['0, 0, z', '1/2, 1/2, z', '1/2, 1/2, -z', '0, 0, -z'], ['0, 1/2, z', '1/2, 0, -z'], ['0, 0, 1/2', '1/2, 1/2, 1/2'], ['0, 0, 0', '1/2, 1/2, 0']]\"\n91,\"[['x, y, z', '-x, -y, z+1/2', '-y, x, z+1/4', 'y, -x, z+3/4', '-x, y, -z', 'x, -y, -z+1/2', 'y, x, -z+3/4', '-y, -x, -z+1/4'], ['x, x, 3/8', '-x, -x, 7/8', '-x, x, 5/8', 'x, -x, 1/8'], ['1/2, y, 0', '1/2, -y, 1/2', '-y, 1/2, 1/4', 'y, 1/2, 3/4'], ['0, y, 0', '0, -y, 1/2', '-y, 0, 1/4', 'y, 0, 3/4']]\"\n92,\"[['x, y, z', '-x, -y, z+1/2', '-y+1/2, x+1/2, z+1/4', 'y+1/2, -x+1/2, z+3/4', '-x+1/2, y+1/2, -z+1/4', 'x+1/2, -y+1/2, -z+3/4', 'y, x, -z', '-y, -x, -z+1/2'], ['x, x, 0', '-x, -x, 1/2', '-x+1/2, x+1/2, 1/4', 'x+1/2, -x+1/2, 3/4']]\"\n93,\"[['x, y, z', '-x, -y, z', '-y, x, z+1/2', 'y, -x, z+1/2', '-x, y, -z', 'x, -y, -z', 'y, x, -z+1/2', '-y, -x, -z+1/2'], ['x, x, 3/4', '-x, -x, 3/4', '-x, x, 1/4', 'x, -x, 1/4'], ['x, x, 1/4', '-x, -x, 1/4', '-x, x, 3/4', 'x, -x, 3/4'], ['x, 1/2, 0', '-x, 1/2, 0', '1/2, x, 1/2', '1/2, -x, 1/2'], ['x, 0, 1/2', '-x, 0, 1/2', '0, x, 0', '0, -x, 0'], ['x, 1/2, 1/2', '-x, 1/2, 1/2', '1/2, x, 0', '1/2, -x, 0'], ['x, 0, 0', '-x, 0, 0', '0, x, 1/2', '0, -x, 1/2'], ['0, 1/2, z', '1/2, 0, z+1/2', '0, 1/2, -z', '1/2, 0, -z+1/2'], ['1/2, 1/2, z', '1/2, 1/2, z+1/2', '1/2, 1/2, -z', '1/2, 1/2, -z+1/2'], ['0, 0, z', '0, 0, z+1/2', '0, 0, -z', '0, 0, -z+1/2'], ['1/2, 1/2, 1/4', '1/2, 1/2, 3/4'], ['0, 0, 1/4', '0, 0, 3/4'], ['0, 1/2, 1/2', '1/2, 0, 0'], ['0, 1/2, 0', '1/2, 0, 1/2'], ['1/2, 1/2, 0', '1/2, 1/2, 1/2'], ['0, 0, 0', '0, 0, 1/2']]\"\n94,\"[['x, y, z', '-x, -y, z', '-y+1/2, x+1/2, z+1/2', 'y+1/2, -x+1/2, z+1/2', '-x+1/2, y+1/2, -z+1/2', 'x+1/2, -y+1/2, -z+1/2', 'y, x, -z', '-y, -x, -z'], ['x, x, 1/2', '-x, -x, 1/2', '-x+1/2, x+1/2, 0', 'x+1/2, -x+1/2, 0'], ['x, x, 0', '-x, -x, 0', '-x+1/2, x+1/2, 1/2', 'x+1/2, -x+1/2, 1/2'], ['0, 1/2, z', '0, 1/2, z+1/2', '1/2, 0, -z+1/2', '1/2, 0, -z'], ['0, 0, z', '1/2, 1/2, z+1/2', '1/2, 1/2, -z+1/2', '0, 0, -z'], ['0, 0, 1/2', '1/2, 1/2, 0'], ['0, 0, 0', '1/2, 1/2, 1/2']]\"\n95,\"[['x, y, z', '-x, -y, z+1/2', '-y, x, z+3/4', 'y, -x, z+1/4', '-x, y, -z', 'x, -y, -z+1/2', 'y, x, -z+1/4', '-y, -x, -z+3/4'], ['x, x, 5/8', '-x, -x, 1/8', '-x, x, 3/8', 'x, -x, 7/8'], ['1/2, y, 0', '1/2, -y, 1/2', '-y, 1/2, 3/4', 'y, 1/2, 1/4'], ['0, y, 0', '0, -y, 1/2', '-y, 0, 3/4', 'y, 0, 1/4']]\"\n96,\"[['x, y, z', '-x, -y, z+1/2', '-y+1/2, x+1/2, z+3/4', 'y+1/2, -x+1/2, z+1/4', '-x+1/2, y+1/2, -z+3/4', 'x+1/2, -y+1/2, -z+1/4', 'y, x, -z', '-y, -x, -z+1/2'], ['x, x, 0', '-x, -x, 1/2', '-x+1/2, x+1/2, 3/4', 'x+1/2, -x+1/2, 1/4']]\"\n97,\"[['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z', '-x, y, -z', 'x, -y, -z', 'y, x, -z', '-y, -x, -z', 'x+1/2, y+1/2, z+1/2', '-x+1/2, -y+1/2, z+1/2', '-y+1/2, x+1/2, z+1/2', 'y+1/2, -x+1/2, z+1/2', '-x+1/2, y+1/2, -z+1/2', 'x+1/2, -y+1/2, -z+1/2', 'y+1/2, x+1/2, -z+1/2', '-y+1/2, -x+1/2, -z+1/2'], ['x, x+1/2, 1/4', '-x, -x+1/2, 1/4', '-x+1/2, x, 1/4', 'x+1/2, -x, 1/4', 'x+1/2, x+1, 3/4', '-x+1/2, -x+1, 3/4', '-x+1, x+1/2, 3/4', 'x+1, -x+1/2, 3/4'], ['x, 0, 1/2', '-x, 0, 1/2', '0, x, 1/2', '0, -x, 1/2', 'x+1/2, 1/2, 1', '-x+1/2, 1/2, 1', '1/2, x+1/2, 1', '1/2, -x+1/2, 1'], ['x, 0, 0', '-x, 0, 0', '0, x, 0', '0, -x, 0', 'x+1/2, 1/2, 1/2', '-x+1/2, 1/2, 1/2', '1/2, x+1/2, 1/2', '1/2, -x+1/2, 1/2'], ['x, x, 0', '-x, -x, 0', '-x, x, 0', 'x, -x, 0', 'x+1/2, x+1/2, 1/2', '-x+1/2, -x+1/2, 1/2', '-x+1/2, x+1/2, 1/2', 'x+1/2, -x+1/2, 1/2'], ['0, 1/2, z', '1/2, 0, z', '0, 1/2, -z', '1/2, 0, -z', '1/2, 1, z+1/2', '1, 1/2, z+1/2', '1/2, 1, -z+1/2', '1, 1/2, -z+1/2'], ['0, 0, z', '0, 0, -z', '1/2, 1/2, z+1/2', '1/2, 1/2, -z+1/2'], ['0, 1/2, 1/4', '1/2, 0, 1/4', '1/2, 1, 3/4', '1, 1/2, 3/4'], ['0, 1/2, 0', '1/2, 0, 0', '1/2, 1, 1/2', '1, 1/2, 1/2'], ['0, 0, 1/2', '1/2, 1/2, 1'], ['0, 0, 0', '1/2, 1/2, 1/2']]\"\n98,\"[['x, y, z', '-x+1/2, -y+1/2, z+1/2', '-y, x+1/2, z+1/4', 'y+1/2, -x, z+3/4', '-x+1/2, y, -z+3/4', 'x, -y+1/2, -z+1/4', 'y+1/2, x+1/2, -z+1/2', '-y, -x, -z', 'x+1/2, y+1/2, z+1/2', '-x+1, -y+1, z+1', '-y+1/2, x+1, z+3/4', 'y+1, -x+1/2, z+5/4', '-x+1, y+1/2, -z+5/4', 'x+1/2, -y+1, -z+3/4', 'y+1, x+1, -z+1', '-y+1/2, -x+1/2, -z+1/2'], ['x, 1/4, 1/8', '-x+1/2, 1/4, 5/8', '3/4, x+1/2, 3/8', '3/4, -x, 7/8', 'x+1/2, 3/4, 5/8', '-x+1, 3/4, 9/8', '5/4, x+1, 7/8', '5/4, -x+1/2, 11/8'], ['x, -x, 0', '-x+1/2, x+1/2, 1/2', 'x, x+1/2, 1/4', '-x+1/2, -x, 3/4', 'x+1/2, -x+1/2, 1/2', '-x+1, x+1, 1', 'x+1/2, x+1, 3/4', '-x+1, -x+1/2, 5/4'], ['x, x, 0', '-x+1/2, -x+1/2, 1/2', '-x, x+1/2, 1/4', 'x+1/2, -x, 3/4', 'x+1/2, x+1/2, 1/2', '-x+1, -x+1, 1', '-x+1/2, x+1, 3/4', 'x+1, -x+1/2, 5/4'], ['0, 0, z', '0, 1/2, z+1/4', '1/2, 0, -z+3/4', '1/2, 1/2, -z+1/2', '1/2, 1/2, z+1/2', '1/2, 1, z+3/4', '1, 1/2, -z+5/4', '1, 1, -z+1'], ['0, 0, 1/2', '0, 1/2, 3/4', '1/2, 1/2, 1', '1/2, 1, 5/4'], ['0, 0, 0', '0, 1/2, 1/4', '1/2, 1/2, 1/2', '1/2, 1, 3/4']]\"\n99,\"[['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z', 'x, -y, z', '-x, y, z', '-y, -x, z', 'y, x, z'], ['x, 1/2, z', '-x, 1/2, z', '1/2, x, z', '1/2, -x, z'], ['x, 0, z', '-x, 0, z', '0, x, z', '0, -x, z'], ['x, x, z', '-x, -x, z', '-x, x, z', 'x, -x, z'], ['1/2, 0, z', '0, 1/2, z'], ['1/2, 1/2, z'], ['0, 0, z']]\"\n100,\"[['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z', 'x+1/2, -y+1/2, z', '-x+1/2, y+1/2, z', '-y+1/2, -x+1/2, z', 'y+1/2, x+1/2, z'], ['x, x+1/2, z', '-x, -x+1/2, z', '-x+1/2, x, z', 'x+1/2, -x, z'], ['1/2, 0, z', '0, 1/2, z'], ['0, 0, z', '1/2, 1/2, z']]\"\n101,\"[['x, y, z', '-x, -y, z', '-y, x, z+1/2', 'y, -x, z+1/2', 'x, -y, z+1/2', '-x, y, z+1/2', '-y, -x, z', 'y, x, z'], ['x, x, z', '-x, -x, z', '-x, x, z+1/2', 'x, -x, z+1/2'], ['0, 1/2, z', '1/2, 0, z+1/2', '0, 1/2, z+1/2', '1/2, 0, z'], ['1/2, 1/2, z', '1/2, 1/2, z+1/2'], ['0, 0, z', '0, 0, z+1/2']]\"\n102,\"[['x, y, z', '-x, -y, z', '-y+1/2, x+1/2, z+1/2', 'y+1/2, -x+1/2, z+1/2', 'x+1/2, -y+1/2, z+1/2', '-x+1/2, y+1/2, z+1/2', '-y, -x, z', 'y, x, z'], ['x, x, z', '-x, -x, z', '-x+1/2, x+1/2, z+1/2', 'x+1/2, -x+1/2, z+1/2'], ['0, 1/2, z', '0, 1/2, z+1/2', '1/2, 0, z+1/2', '1/2, 0, z'], ['0, 0, z', '1/2, 1/2, z+1/2']]\"\n103,\"[['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z', 'x, -y, z+1/2', '-x, y, z+1/2', '-y, -x, z+1/2', 'y, x, z+1/2'], ['0, 1/2, z', '1/2, 0, z', '0, 1/2, z+1/2', '1/2, 0, z+1/2'], ['1/2, 1/2, z', '1/2, 1/2, z+1/2'], ['0, 0, z', '0, 0, z+1/2']]\"\n104,\"[['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z', 'x+1/2, -y+1/2, z+1/2', '-x+1/2, y+1/2, z+1/2', '-y+1/2, -x+1/2, z+1/2', 'y+1/2, x+1/2, z+1/2'], ['0, 1/2, z', '1/2, 0, z', '1/2, 0, z+1/2', '0, 1/2, z+1/2'], ['0, 0, z', '1/2, 1/2, z+1/2']]\"\n105,\"[['x, y, z', '-x, -y, z', '-y, x, z+1/2', 'y, -x, z+1/2', 'x, -y, z', '-x, y, z', '-y, -x, z+1/2', 'y, x, z+1/2'], ['x, 1/2, z', '-x, 1/2, z', '1/2, x, z+1/2', '1/2, -x, z+1/2'], ['x, 0, z', '-x, 0, z', '0, x, z+1/2', '0, -x, z+1/2'], ['0, 1/2, z', '1/2, 0, z+1/2'], ['1/2, 1/2, z', '1/2, 1/2, z+1/2'], ['0, 0, z', '0, 0, z+1/2']]\"\n106,\"[['x, y, z', '-x, -y, z', '-y, x, z+1/2', 'y, -x, z+1/2', 'x+1/2, -y+1/2, z', '-x+1/2, y+1/2, z', '-y+1/2, -x+1/2, z+1/2', 'y+1/2, x+1/2, z+1/2'], ['0, 1/2, z', '1/2, 0, z+1/2', '1/2, 0, z', '0, 1/2, z+1/2'], ['0, 0, z', '0, 0, z+1/2', '1/2, 1/2, z', '1/2, 1/2, z+1/2']]\"\n107,\"[['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z', 'x, -y, z', '-x, y, z', '-y, -x, z', 'y, x, z', 'x+1/2, y+1/2, z+1/2', '-x+1/2, -y+1/2, z+1/2', '-y+1/2, x+1/2, z+1/2', 'y+1/2, -x+1/2, z+1/2', 'x+1/2, -y+1/2, z+1/2', '-x+1/2, y+1/2, z+1/2', '-y+1/2, -x+1/2, z+1/2', 'y+1/2, x+1/2, z+1/2'], ['x, 0, z', '-x, 0, z', '0, x, z', '0, -x, z', 'x+1/2, 1/2, z+1/2', '-x+1/2, 1/2, z+1/2', '1/2, x+1/2, z+1/2', '1/2, -x+1/2, z+1/2'], ['x, x, z', '-x, -x, z', '-x, x, z', 'x, -x, z', 'x+1/2, x+1/2, z+1/2', '-x+1/2, -x+1/2, z+1/2', '-x+1/2, x+1/2, z+1/2', 'x+1/2, -x+1/2, z+1/2'], ['0, 1/2, z', '1/2, 0, z', '1/2, 1, z+1/2', '1, 1/2, z+1/2'], ['0, 0, z', '1/2, 1/2, z+1/2']]\"\n108,\"[['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z', 'x, -y, z+1/2', '-x, y, z+1/2', '-y, -x, z+1/2', 'y, x, z+1/2', 'x+1/2, y+1/2, z+1/2', '-x+1/2, -y+1/2, z+1/2', '-y+1/2, x+1/2, z+1/2', 'y+1/2, -x+1/2, z+1/2', 'x+1/2, -y+1/2, z+1', '-x+1/2, y+1/2, z+1', '-y+1/2, -x+1/2, z+1', 'y+1/2, x+1/2, z+1'], ['x, x+1/2, z', '-x, -x+1/2, z', '-x+1/2, x, z', 'x+1/2, -x, z', 'x+1/2, x+1, z+1/2', '-x+1/2, -x+1, z+1/2', '-x+1, x+1/2, z+1/2', 'x+1, -x+1/2, z+1/2'], ['1/2, 0, z', '0, 1/2, z', '1, 1/2, z+1/2', '1/2, 1, z+1/2'], ['0, 0, z', '0, 0, z+1/2', '1/2, 1/2, z+1/2', '1/2, 1/2, z+1']]\"\n109,\"[['x, y, z', '-x+1/2, -y+1/2, z+1/2', '-y, x+1/2, z+1/4', 'y+1/2, -x, z+3/4', 'x, -y, z', '-x+1/2, y+1/2, z+1/2', '-y, -x+1/2, z+1/4', 'y+1/2, x, z+3/4', 'x+1/2, y+1/2, z+1/2', '-x+1, -y+1, z+1', '-y+1/2, x+1, z+3/4', 'y+1, -x+1/2, z+5/4', 'x+1/2, -y+1/2, z+1/2', '-x+1, y+1, z+1', '-y+1/2, -x+1, z+3/4', 'y+1, x+1/2, z+5/4'], ['0, y, z', '1/2, -y+1/2, z+1/2', '-y, 1/2, z+1/4', 'y+1/2, 0, z+3/4', '1/2, y+1/2, z+1/2', '1, -y+1, z+1', '-y+1/2, 1, z+3/4', 'y+1, 1/2, z+5/4'], ['0, 0, z', '0, 1/2, z+1/4', '1/2, 1/2, z+1/2', '1/2, 1, z+3/4']]\"\n110,\"[['x, y, z', '-x+1/2, -y+1/2, z+1/2', '-y, x+1/2, z+1/4', 'y+1/2, -x, z+3/4', 'x, -y, z+1/2', '-x+1/2, y+1/2, z', '-y, -x+1/2, z+3/4', 'y+1/2, x, z+1/4', 'x+1/2, y+1/2, z+1/2', '-x+1, -y+1, z+1', '-y+1/2, x+1, z+3/4', 'y+1, -x+1/2, z+5/4', 'x+1/2, -y+1/2, z+1', '-x+1, y+1, z+1/2', '-y+1/2, -x+1, z+5/4', 'y+1, x+1/2, z+3/4'], ['0, 0, z', '0, 1/2, z+1/4', '0, 0, z+1/2', '0, 1/2, z+3/4', '1/2, 1/2, z+1/2', '1/2, 1, z+3/4', '1/2, 1/2, z+1', '1/2, 1, z+5/4']]\"\n111,\"[['x, y, z', '-x, -y, z', 'y, -x, -z', '-y, x, -z', '-x, y, -z', 'x, -y, -z', '-y, -x, z', 'y, x, z'], ['x, x, z', '-x, -x, z', 'x, -x, -z', '-x, x, -z'], ['0, 1/2, z', '1/2, 0, -z', '0, 1/2, -z', '1/2, 0, z'], ['x, 1/2, 0', '-x, 1/2, 0', '1/2, -x, 0', '1/2, x, 0'], ['x, 0, 1/2', '-x, 0, 1/2', '0, -x, 1/2', '0, x, 1/2'], ['x, 1/2, 1/2', '-x, 1/2, 1/2', '1/2, -x, 1/2', '1/2, x, 1/2'], ['x, 0, 0', '-x, 0, 0', '0, -x, 0', '0, x, 0'], ['1/2, 1/2, z', '1/2, 1/2, -z'], ['0, 0, z', '0, 0, -z'], ['1/2, 0, 1/2', '0, 1/2, 1/2'], ['1/2, 0, 0', '0, 1/2, 0'], ['1/2, 1/2, 0'], ['0, 0, 1/2'], ['1/2, 1/2, 1/2'], ['0, 0, 0']]\"\n112,\"[['x, y, z', '-x, -y, z', 'y, -x, -z', '-y, x, -z', '-x, y, -z+1/2', 'x, -y, -z+1/2', '-y, -x, z+1/2', 'y, x, z+1/2'], ['0, 1/2, z', '1/2, 0, -z', '0, 1/2, -z+1/2', '1/2, 0, z+1/2'], ['1/2, 1/2, z', '1/2, 1/2, -z', '1/2, 1/2, -z+1/2', '1/2, 1/2, z+1/2'], ['0, 0, z', '0, 0, -z', '0, 0, -z+1/2', '0, 0, z+1/2'], ['0, y, 1/4', '0, -y, 1/4', 'y, 0, 3/4', '-y, 0, 3/4'], ['x, 1/2, 1/4', '-x, 1/2, 1/4', '1/2, -x, 3/4', '1/2, x, 3/4'], ['1/2, y, 1/4', '1/2, -y, 1/4', 'y, 1/2, 3/4', '-y, 1/2, 3/4'], ['x, 0, 1/4', '-x, 0, 1/4', '0, -x, 3/4', '0, x, 3/4'], ['1/2, 1/2, 0', '1/2, 1/2, 1/2'], ['0, 0, 0', '0, 0, 1/2'], ['0, 1/2, 1/4', '1/2, 0, 3/4'], ['1/2, 1/2, 1/4', '1/2, 1/2, 3/4'], ['1/2, 0, 1/4', '0, 1/2, 3/4'], ['0, 0, 1/4', '0, 0, 3/4']]\"\n113,\"[['x, y, z', '-x, -y, z', 'y, -x, -z', '-y, x, -z', '-x+1/2, y+1/2, -z', 'x+1/2, -y+1/2, -z', '-y+1/2, -x+1/2, z', 'y+1/2, x+1/2, z'], ['x, x+1/2, z', '-x, -x+1/2, z', 'x+1/2, -x, -z', '-x+1/2, x, -z'], ['0, 0, z', '0, 0, -z', '1/2, 1/2, -z', '1/2, 1/2, z'], ['0, 1/2, z', '1/2, 0, -z'], ['0, 0, 1/2', '1/2, 1/2, 1/2'], ['0, 0, 0', '1/2, 1/2, 0']]\"\n114,\"[['x, y, z', '-x, -y, z', 'y, -x, -z', '-y, x, -z', '-x+1/2, y+1/2, -z+1/2', 'x+1/2, -y+1/2, -z+1/2', '-y+1/2, -x+1/2, z+1/2', 'y+1/2, x+1/2, z+1/2'], ['0, 1/2, z', '1/2, 0, -z', '1/2, 0, -z+1/2', '0, 1/2, z+1/2'], ['0, 0, z', '0, 0, -z', '1/2, 1/2, -z+1/2', '1/2, 1/2, z+1/2'], ['0, 0, 1/2', '1/2, 1/2, 0'], ['0, 0, 0', '1/2, 1/2, 1/2']]\"\n115,\"[['x, y, z', '-x, -y, z', 'y, -x, -z', '-y, x, -z', 'x, -y, z', '-x, y, z', 'y, x, -z', '-y, -x, -z'], ['x, 1/2, z', '-x, 1/2, z', '1/2, -x, -z', '1/2, x, -z'], ['x, 0, z', '-x, 0, z', '0, -x, -z', '0, x, -z'], ['x, x, 1/2', '-x, -x, 1/2', 'x, -x, 1/2', '-x, x, 1/2'], ['x, x, 0', '-x, -x, 0', 'x, -x, 0', '-x, x, 0'], ['0, 1/2, z', '1/2, 0, -z'], ['1/2, 1/2, z', '1/2, 1/2, -z'], ['0, 0, z', '0, 0, -z'], ['0, 0, 1/2'], ['1/2, 1/2, 1/2'], ['1/2, 1/2, 0'], ['0, 0, 0']]\"\n116,\"[['x, y, z', '-x, -y, z', 'y, -x, -z', '-y, x, -z', 'x, -y, z+1/2', '-x, y, z+1/2', 'y, x, -z+1/2', '-y, -x, -z+1/2'], ['0, 1/2, z', '1/2, 0, -z', '0, 1/2, z+1/2', '1/2, 0, -z+1/2'], ['1/2, 1/2, z', '1/2, 1/2, -z', '1/2, 1/2, z+1/2', '1/2, 1/2, -z+1/2'], ['0, 0, z', '0, 0, -z', '0, 0, z+1/2', '0, 0, -z+1/2'], ['x, x, 3/4', '-x, -x, 3/4', 'x, -x, 1/4', '-x, x, 1/4'], ['x, x, 1/4', '-x, -x, 1/4', 'x, -x, 3/4', '-x, x, 3/4'], ['1/2, 1/2, 0', '1/2, 1/2, 1/2'], ['0, 0, 0', '0, 0, 1/2'], ['1/2, 1/2, 1/4', '1/2, 1/2, 3/4'], ['0, 0, 1/4', '0, 0, 3/4']]\"\n117,\"[['x, y, z', '-x, -y, z', 'y, -x, -z', '-y, x, -z', 'x+1/2, -y+1/2, z', '-x+1/2, y+1/2, z', 'y+1/2, x+1/2, -z', '-y+1/2, -x+1/2, -z'], ['x, x+1/2, 1/2', '-x, -x+1/2, 1/2', 'x+1/2, -x, 1/2', '-x+1/2, x, 1/2'], ['x, x+1/2, 0', '-x, -x+1/2, 0', 'x+1/2, -x, 0', '-x+1/2, x, 0'], ['0, 1/2, z', '1/2, 0, -z', '1/2, 0, z', '0, 1/2, -z'], ['0, 0, z', '0, 0, -z', '1/2, 1/2, z', '1/2, 1/2, -z'], ['0, 1/2, 1/2', '1/2, 0, 1/2'], ['0, 1/2, 0', '1/2, 0, 0'], ['0, 0, 1/2', '1/2, 1/2, 1/2'], ['0, 0, 0', '1/2, 1/2, 0']]\"\n118,\"[['x, y, z', '-x, -y, z', 'y, -x, -z', '-y, x, -z', 'x+1/2, -y+1/2, z+1/2', '-x+1/2, y+1/2, z+1/2', 'y+1/2, x+1/2, -z+1/2', '-y+1/2, -x+1/2, -z+1/2'], ['0, 1/2, z', '1/2, 0, -z', '1/2, 0, z+1/2', '0, 1/2, -z+1/2'], ['x, x+1/2, 1/4', '-x, -x+1/2, 1/4', 'x+1/2, -x, 3/4', '-x+1/2, x, 3/4'], ['x, -x+1/2, 1/4', '-x, x+1/2, 1/4', '-x+1/2, -x, 3/4', 'x+1/2, x, 3/4'], ['0, 0, z', '0, 0, -z', '1/2, 1/2, z+1/2', '1/2, 1/2, -z+1/2'], ['0, 1/2, 3/4', '1/2, 0, 1/4'], ['0, 1/2, 1/4', '1/2, 0, 3/4'], ['0, 0, 1/2', '1/2, 1/2, 0'], ['0, 0, 0', '1/2, 1/2, 1/2']]\"\n119,\"[['x, y, z', '-x, -y, z', 'y, -x, -z', '-y, x, -z', 'x, -y, z', '-x, y, z', 'y, x, -z', '-y, -x, -z', 'x+1/2, y+1/2, z+1/2', '-x+1/2, -y+1/2, z+1/2', 'y+1/2, -x+1/2, -z+1/2', '-y+1/2, x+1/2, -z+1/2', 'x+1/2, -y+1/2, z+1/2', '-x+1/2, y+1/2, z+1/2', 'y+1/2, x+1/2, -z+1/2', '-y+1/2, -x+1/2, -z+1/2'], ['x, 0, z', '-x, 0, z', '0, -x, -z', '0, x, -z', 'x+1/2, 1/2, z+1/2', '-x+1/2, 1/2, z+1/2', '1/2, -x+1/2, -z+1/2', '1/2, x+1/2, -z+1/2'], ['x, x+1/2, 1/4', '-x, -x+1/2, 1/4', 'x+1/2, -x, 3/4', '-x+1/2, x, 3/4', 'x+1/2, x+1, 3/4', '-x+1/2, -x+1, 3/4', 'x+1, -x+1/2, 5/4', '-x+1, x+1/2, 5/4'], ['x, x, 0', '-x, -x, 0', 'x, -x, 0', '-x, x, 0', 'x+1/2, x+1/2, 1/2', '-x+1/2, -x+1/2, 1/2', 'x+1/2, -x+1/2, 1/2', '-x+1/2, x+1/2, 1/2'], ['0, 1/2, z', '1/2, 0, -z', '1/2, 1, z+1/2', '1, 1/2, -z+1/2'], ['0, 0, z', '0, 0, -z', '1/2, 1/2, z+1/2', '1/2, 1/2, -z+1/2'], ['0, 1/2, 3/4', '1/2, 1, 5/4'], ['0, 1/2, 1/4', '1/2, 1, 3/4'], ['0, 0, 1/2', '1/2, 1/2, 1'], ['0, 0, 0', '1/2, 1/2, 1/2']]\"\n120,\"[['x, y, z', '-x, -y, z', 'y, -x, -z', '-y, x, -z', 'x, -y, z+1/2', '-x, y, z+1/2', 'y, x, -z+1/2', '-y, -x, -z+1/2', 'x+1/2, y+1/2, z+1/2', '-x+1/2, -y+1/2, z+1/2', 'y+1/2, -x+1/2, -z+1/2', '-y+1/2, x+1/2, -z+1/2', 'x+1/2, -y+1/2, z+1', '-x+1/2, y+1/2, z+1', 'y+1/2, x+1/2, -z+1', '-y+1/2, -x+1/2, -z+1'], ['x, x+1/2, 0', '-x, -x+1/2, 0', 'x+1/2, -x, 0', '-x+1/2, x, 0', 'x+1/2, x+1, 1/2', '-x+1/2, -x+1, 1/2', 'x+1, -x+1/2, 1/2', '-x+1, x+1/2, 1/2'], ['0, 1/2, z', '1/2, 0, -z', '0, 1/2, z+1/2', '1/2, 0, -z+1/2', '1/2, 1, z+1/2', '1, 1/2, -z+1/2', '1/2, 1, z+1', '1, 1/2, -z+1'], ['0, 0, z', '0, 0, -z', '0, 0, z+1/2', '0, 0, -z+1/2', '1/2, 1/2, z+1/2', '1/2, 1/2, -z+1/2', '1/2, 1/2, z+1', '1/2, 1/2, -z+1'], ['x, x, 1/4', '-x, -x, 1/4', 'x, -x, 3/4', '-x, x, 3/4', 'x+1/2, x+1/2, 3/4', '-x+1/2, -x+1/2, 3/4', 'x+1/2, -x+1/2, 5/4', '-x+1/2, x+1/2, 5/4'], ['0, 1/2, 0', '1/2, 0, 0', '1/2, 1, 1/2', '1, 1/2, 1/2'], ['0, 1/2, 1/4', '0, 1/2, 3/4', '1/2, 1, 3/4', '1/2, 1, 5/4'], ['0, 0, 0', '0, 0, 1/2', '1/2, 1/2, 1/2', '1/2, 1/2, 1'], ['0, 0, 1/4', '0, 0, 3/4', '1/2, 1/2, 3/4', '1/2, 1/2, 5/4']]\"\n121,\"[['x, y, z', '-x, -y, z', 'y, -x, -z', '-y, x, -z', '-x, y, -z', 'x, -y, -z', '-y, -x, z', 'y, x, z', 'x+1/2, y+1/2, z+1/2', '-x+1/2, -y+1/2, z+1/2', 'y+1/2, -x+1/2, -z+1/2', '-y+1/2, x+1/2, -z+1/2', '-x+1/2, y+1/2, -z+1/2', 'x+1/2, -y+1/2, -z+1/2', '-y+1/2, -x+1/2, z+1/2', 'y+1/2, x+1/2, z+1/2'], ['x, x, z', '-x, -x, z', 'x, -x, -z', '-x, x, -z', 'x+1/2, x+1/2, z+1/2', '-x+1/2, -x+1/2, z+1/2', 'x+1/2, -x+1/2, -z+1/2', '-x+1/2, x+1/2, -z+1/2'], ['0, 1/2, z', '1/2, 0, -z', '0, 1/2, -z', '1/2, 0, z', '1/2, 1, z+1/2', '1, 1/2, -z+1/2', '1/2, 1, -z+1/2', '1, 1/2, z+1/2'], ['x, 0, 1/2', '-x, 0, 1/2', '0, -x, 1/2', '0, x, 1/2', 'x+1/2, 1/2, 1', '-x+1/2, 1/2, 1', '1/2, -x+1/2, 1', '1/2, x+1/2, 1'], ['x, 0, 0', '-x, 0, 0', '0, -x, 0', '0, x, 0', 'x+1/2, 1/2, 1/2', '-x+1/2, 1/2, 1/2', '1/2, -x+1/2, 1/2', '1/2, x+1/2, 1/2'], ['0, 0, z', '0, 0, -z', '1/2, 1/2, z+1/2', '1/2, 1/2, -z+1/2'], ['0, 1/2, 1/4', '0, 1/2, 3/4', '1/2, 1, 3/4', '1/2, 1, 5/4'], ['0, 1/2, 0', '1/2, 0, 0', '1/2, 1, 1/2', '1, 1/2, 1/2'], ['0, 0, 1/2', '1/2, 1/2, 1'], ['0, 0, 0', '1/2, 1/2, 1/2']]\"\n122,\"[['x, y, z', '-x, -y, z', 'y, -x, -z', '-y, x, -z', '-x+1/2, y, -z+3/4', 'x+1/2, -y, -z+3/4', '-y+1/2, -x, z+3/4', 'y+1/2, x, z+3/4', 'x+1/2, y+1/2, z+1/2', '-x+1/2, -y+1/2, z+1/2', 'y+1/2, -x+1/2, -z+1/2', '-y+1/2, x+1/2, -z+1/2', '-x+1, y+1/2, -z+5/4', 'x+1, -y+1/2, -z+5/4', '-y+1, -x+1/2, z+5/4', 'y+1, x+1/2, z+5/4'], ['x, 1/4, 1/8', '-x, 3/4, 1/8', '1/4, -x, 7/8', '3/4, x, 7/8', 'x+1/2, 3/4, 5/8', '-x+1/2, 5/4, 5/8', '3/4, -x+1/2, 11/8', '5/4, x+1/2, 11/8'], ['0, 0, z', '0, 0, -z', '1/2, 0, -z+3/4', '1/2, 0, z+3/4', '1/2, 1/2, z+1/2', '1/2, 1/2, -z+1/2', '1, 1/2, -z+5/4', '1, 1/2, z+5/4'], ['0, 0, 1/2', '1/2, 0, 1/4', '1/2, 1/2, 1', '1, 1/2, 3/4'], ['0, 0, 0', '1/2, 0, 3/4', '1/2, 1/2, 1/2', '1, 1/2, 5/4']]\"\n123,\"[['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z', '-x, y, -z', 'x, -y, -z', 'y, x, -z', '-y, -x, -z', '-x, -y, -z', 'x, y, -z', 'y, -x, -z', '-y, x, -z', 'x, -y, z', '-x, y, z', '-y, -x, z', 'y, x, z'], ['x, 1/2, z', '-x, 1/2, z', '1/2, x, z', '1/2, -x, z', '-x, 1/2, -z', 'x, 1/2, -z', '1/2, x, -z', '1/2, -x, -z'], ['x, 0, z', '-x, 0, z', '0, x, z', '0, -x, z', '-x, 0, -z', 'x, 0, -z', '0, x, -z', '0, -x, -z'], ['x, x, z', '-x, -x, z', '-x, x, z', 'x, -x, z', '-x, x, -z', 'x, -x, -z', 'x, x, -z', '-x, -x, -z'], ['x, y, 1/2', '-x, -y, 1/2', '-y, x, 1/2', 'y, -x, 1/2', '-x, y, 1/2', 'x, -y, 1/2', 'y, x, 1/2', '-y, -x, 1/2'], ['x, y, 0', '-x, -y, 0', '-y, x, 0', 'y, -x, 0', '-x, y, 0', 'x, -y, 0', 'y, x, 0', '-y, -x, 0'], ['x, 1/2, 1/2', '-x, 1/2, 1/2', '1/2, x, 1/2', '1/2, -x, 1/2'], ['x, 1/2, 0', '-x, 1/2, 0', '1/2, x, 0', '1/2, -x, 0'], ['x, 0, 1/2', '-x, 0, 1/2', '0, x, 1/2', '0, -x, 1/2'], ['x, 0, 0', '-x, 0, 0', '0, x, 0', '0, -x, 0'], ['x, x, 1/2', '-x, -x, 1/2', '-x, x, 1/2', 'x, -x, 1/2'], ['x, x, 0', '-x, -x, 0', '-x, x, 0', 'x, -x, 0'], ['0, 1/2, z', '1/2, 0, z', '0, 1/2, -z', '1/2, 0, -z'], ['1/2, 1/2, z', '1/2, 1/2, -z'], ['0, 0, z', '0, 0, -z'], ['0, 1/2, 0', '1/2, 0, 0'], ['0, 1/2, 1/2', '1/2, 0, 1/2'], ['1/2, 1/2, 1/2'], ['1/2, 1/2, 0'], ['0, 0, 1/2'], ['0, 0, 0']]\"\n124,\"[['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z', '-x, y, -z+1/2', 'x, -y, -z+1/2', 'y, x, -z+1/2', '-y, -x, -z+1/2', '-x, -y, -z', 'x, y, -z', 'y, -x, -z', '-y, x, -z', 'x, -y, z+1/2', '-x, y, z+1/2', '-y, -x, z+1/2', 'y, x, z+1/2'], ['x, y, 0', '-x, -y, 0', '-y, x, 0', 'y, -x, 0', '-x, y, 1/2', 'x, -y, 1/2', 'y, x, 1/2', '-y, -x, 1/2'], ['x, 1/2, 1/4', '-x, 1/2, 1/4', '1/2, x, 1/4', '1/2, -x, 1/4', '-x, 1/2, 3/4', 'x, 1/2, 3/4', '1/2, -x, 3/4', '1/2, x, 3/4'], ['x, 0, 1/4', '-x, 0, 1/4', '0, x, 1/4', '0, -x, 1/4', '-x, 0, 3/4', 'x, 0, 3/4', '0, -x, 3/4', '0, x, 3/4'], ['x, x, 1/4', '-x, -x, 1/4', '-x, x, 1/4', 'x, -x, 1/4', '-x, -x, 3/4', 'x, x, 3/4', 'x, -x, 3/4', '-x, x, 3/4'], ['0, 1/2, z', '1/2, 0, z', '0, 1/2, -z+1/2', '1/2, 0, -z+1/2', '0, 1/2, -z', '1/2, 0, -z', '0, 1/2, z+1/2', '1/2, 0, z+1/2'], ['1/2, 1/2, z', '1/2, 1/2, -z+1/2', '1/2, 1/2, -z', '1/2, 1/2, z+1/2'], ['0, 0, z', '0, 0, -z+1/2', '0, 0, -z', '0, 0, z+1/2'], ['0, 1/2, 1/4', '1/2, 0, 1/4', '0, 1/2, 3/4', '1/2, 0, 3/4'], ['0, 1/2, 0', '1/2, 0, 0', '0, 1/2, 1/2', '1/2, 0, 1/2'], ['1/2, 1/2, 0', '1/2, 1/2, 1/2'], ['1/2, 1/2, 1/4', '1/2, 1/2, 3/4'], ['0, 0, 0', '0, 0, 1/2'], ['0, 0, 1/4', '0, 0, 3/4']]\"\n125,\"[['x, y, z', '-x+1/2, -y+1/2, z', '-y+1/2, x, z', 'y, -x+1/2, z', '-x+1/2, y, -z', 'x, -y+1/2, -z', 'y, x, -z', '-y+1/2, -x+1/2, -z', '-x, -y, -z', 'x+1/2, y+1/2, -z', 'y+1/2, -x, -z', '-y, x+1/2, -z', 'x+1/2, -y, z', '-x, y+1/2, z', '-y, -x, z', 'y+1/2, x+1/2, z'], ['x, -x, z', '-x+1/2, x+1/2, z', 'x+1/2, x, z', '-x, -x+1/2, z', '-x+1/2, -x, -z', 'x, x+1/2, -z', '-x, x, -z', 'x+1/2, -x+1/2, -z'], ['x, 1/4, 1/2', '-x+1/2, 1/4, 1/2', '1/4, x, 1/2', '1/4, -x+1/2, 1/2', '-x, 3/4, 1/2', 'x+1/2, 3/4, 1/2', '3/4, -x, 1/2', '3/4, x+1/2, 1/2'], ['x, 1/4, 0', '-x+1/2, 1/4, 0', '1/4, x, 0', '1/4, -x+1/2, 0', '-x, 3/4, 0', 'x+1/2, 3/4, 0', '3/4, -x, 0', '3/4, x+1/2, 0'], ['x, x, 1/2', '-x+1/2, -x+1/2, 1/2', '-x+1/2, x, 1/2', 'x, -x+1/2, 1/2', '-x, -x, 1/2', 'x+1/2, x+1/2, 1/2', 'x+1/2, -x, 1/2', '-x, x+1/2, 1/2'], ['x, x, 0', '-x+1/2, -x+1/2, 0', '-x+1/2, x, 0', 'x, -x+1/2, 0', '-x, -x, 0', 'x+1/2, x+1/2, 0', 'x+1/2, -x, 0', '-x, x+1/2, 0'], ['3/4, 1/4, z', '1/4, 3/4, z', '3/4, 1/4, -z', '1/4, 3/4, -z'], ['1/4, 1/4, z', '1/4, 1/4, -z', '3/4, 3/4, -z', '3/4, 3/4, z'], ['0, 0, 1/2', '1/2, 1/2, 1/2', '1/2, 0, 1/2', '0, 1/2, 1/2'], ['0, 0, 0', '1/2, 1/2, 0', '1/2, 0, 0', '0, 1/2, 0'], ['3/4, 1/4, 1/2', '1/4, 3/4, 1/2'], ['3/4, 1/4, 0', '1/4, 3/4, 0'], ['1/4, 1/4, 1/2', '3/4, 3/4, 1/2'], ['1/4, 1/4, 0', '3/4, 3/4, 0']]\"\n126,\"[['x, y, z', '-x+1/2, -y+1/2, z', '-y+1/2, x, z', 'y, -x+1/2, z', '-x+1/2, y, -z+1/2', 'x, -y+1/2, -z+1/2', 'y, x, -z+1/2', '-y+1/2, -x+1/2, -z+1/2', '-x, -y, -z', 'x+1/2, y+1/2, -z', 'y+1/2, -x, -z', '-y, x+1/2, -z', 'x+1/2, -y, z+1/2', '-x, y+1/2, z+1/2', '-y, -x, z+1/2', 'y+1/2, x+1/2, z+1/2'], ['x, 3/4, 1/4', '-x+1/2, 3/4, 1/4', '3/4, x, 1/4', '3/4, -x+1/2, 1/4', '-x, 1/4, 3/4', 'x+1/2, 1/4, 3/4', '1/4, -x, 3/4', '1/4, x+1/2, 3/4'], ['x, 1/4, 1/4', '-x+1/2, 1/4, 1/4', '1/4, x, 1/4', '1/4, -x+1/2, 1/4', '-x, 3/4, 3/4', 'x+1/2, 3/4, 3/4', '3/4, -x, 3/4', '3/4, x+1/2, 3/4'], ['x, x, 1/4', '-x+1/2, -x+1/2, 1/4', '-x+1/2, x, 1/4', 'x, -x+1/2, 1/4', '-x, -x, 3/4', 'x+1/2, x+1/2, 3/4', 'x+1/2, -x, 3/4', '-x, x+1/2, 3/4'], ['1/4, 3/4, z', '3/4, 1/4, z', '1/4, 3/4, -z+1/2', '3/4, 1/4, -z+1/2', '3/4, 1/4, -z', '1/4, 3/4, -z', '3/4, 1/4, z+1/2', '1/4, 3/4, z+1/2'], ['0, 0, 0', '1/2, 1/2, 0', '1/2, 0, 0', '0, 1/2, 0', '1/2, 0, 1/2', '0, 1/2, 1/2', '0, 0, 1/2', '1/2, 1/2, 1/2'], ['1/4, 1/4, z', '1/4, 1/4, -z+1/2', '3/4, 3/4, -z', '3/4, 3/4, z+1/2'], ['1/4, 3/4, 0', '3/4, 1/4, 0', '1/4, 3/4, 1/2', '3/4, 1/4, 1/2'], ['1/4, 3/4, 3/4', '3/4, 1/4, 3/4', '3/4, 1/4, 1/4', '1/4, 3/4, 1/4'], ['1/4, 1/4, 3/4', '3/4, 3/4, 1/4'], ['1/4, 1/4, 1/4', '3/4, 3/4, 3/4']]\"\n127,\"[['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z', '-x+1/2, y+1/2, -z', 'x+1/2, -y+1/2, -z', 'y+1/2, x+1/2, -z', '-y+1/2, -x+1/2, -z', '-x, -y, -z', 'x, y, -z', 'y, -x, -z', '-y, x, -z', 'x+1/2, -y+1/2, z', '-x+1/2, y+1/2, z', '-y+1/2, -x+1/2, z', 'y+1/2, x+1/2, z'], ['x, x+1/2, z', '-x, -x+1/2, z', '-x+1/2, x, z', 'x+1/2, -x, z', '-x+1/2, x, -z', 'x+1/2, -x, -z', 'x, x+1/2, -z', '-x, -x+1/2, -z'], ['x, y, 1/2', '-x, -y, 1/2', '-y, x, 1/2', 'y, -x, 1/2', '-x+1/2, y+1/2, 1/2', 'x+1/2, -y+1/2, 1/2', 'y+1/2, x+1/2, 1/2', '-y+1/2, -x+1/2, 1/2'], ['x, y, 0', '-x, -y, 0', '-y, x, 0', 'y, -x, 0', '-x+1/2, y+1/2, 0', 'x+1/2, -y+1/2, 0', 'y+1/2, x+1/2, 0', '-y+1/2, -x+1/2, 0'], ['x, x+1/2, 1/2', '-x, -x+1/2, 1/2', '-x+1/2, x, 1/2', 'x+1/2, -x, 1/2'], ['x, x+1/2, 0', '-x, -x+1/2, 0', '-x+1/2, x, 0', 'x+1/2, -x, 0'], ['0, 1/2, z', '1/2, 0, z', '1/2, 0, -z', '0, 1/2, -z'], ['0, 0, z', '1/2, 1/2, -z', '0, 0, -z', '1/2, 1/2, z'], ['0, 1/2, 0', '1/2, 0, 0'], ['0, 1/2, 1/2', '1/2, 0, 1/2'], ['0, 0, 1/2', '1/2, 1/2, 1/2'], ['0, 0, 0', '1/2, 1/2, 0']]\"\n128,\"[['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z', '-x+1/2, y+1/2, -z+1/2', 'x+1/2, -y+1/2, -z+1/2', 'y+1/2, x+1/2, -z+1/2', '-y+1/2, -x+1/2, -z+1/2', '-x, -y, -z', 'x, y, -z', 'y, -x, -z', '-y, x, -z', 'x+1/2, -y+1/2, z+1/2', '-x+1/2, y+1/2, z+1/2', '-y+1/2, -x+1/2, z+1/2', 'y+1/2, x+1/2, z+1/2'], ['x, y, 0', '-x, -y, 0', '-y, x, 0', 'y, -x, 0', '-x+1/2, y+1/2, 1/2', 'x+1/2, -y+1/2, 1/2', 'y+1/2, x+1/2, 1/2', '-y+1/2, -x+1/2, 1/2'], ['x, x+1/2, 1/4', '-x, -x+1/2, 1/4', '-x+1/2, x, 1/4', 'x+1/2, -x, 1/4', '-x, -x+1/2, 3/4', 'x, x+1/2, 3/4', 'x+1/2, -x, 3/4', '-x+1/2, x, 3/4'], ['0, 1/2, z', '1/2, 0, z', '1/2, 0, -z+1/2', '0, 1/2, -z+1/2', '0, 1/2, -z', '1/2, 0, -z', '1/2, 0, z+1/2', '0, 1/2, z+1/2'], ['0, 0, z', '1/2, 1/2, -z+1/2', '0, 0, -z', '1/2, 1/2, z+1/2'], ['0, 1/2, 1/4', '1/2, 0, 1/4', '0, 1/2, 3/4', '1/2, 0, 3/4'], ['0, 1/2, 0', '1/2, 0, 0', '1/2, 0, 1/2', '0, 1/2, 1/2'], ['0, 0, 1/2', '1/2, 1/2, 0'], ['0, 0, 0', '1/2, 1/2, 1/2']]\"\n129,\"[['x, y, z', '-x+1/2, -y+1/2, z', '-y+1/2, x, z', 'y, -x+1/2, z', '-x, y+1/2, -z', 'x+1/2, -y, -z', 'y+1/2, x+1/2, -z', '-y, -x, -z', '-x, -y, -z', 'x+1/2, y+1/2, -z', 'y+1/2, -x, -z', '-y, x+1/2, -z', 'x, -y+1/2, z', '-x+1/2, y, z', '-y+1/2, -x+1/2, z', 'y, x, z'], ['x, x, z', '-x+1/2, -x+1/2, z', '-x+1/2, x, z', 'x, -x+1/2, z', '-x, x+1/2, -z', 'x+1/2, -x, -z', 'x+1/2, x+1/2, -z', '-x, -x, -z'], ['1/4, y, z', '1/4, -y+1/2, z', '-y+1/2, 1/4, z', 'y, 1/4, z', '3/4, y+1/2, -z', '3/4, -y, -z', 'y+1/2, 3/4, -z', '-y, 3/4, -z'], ['x, -x, 1/2', '-x+1/2, x+1/2, 1/2', 'x+1/2, x, 1/2', '-x, -x+1/2, 1/2', '-x, x, 1/2', 'x+1/2, -x+1/2, 1/2', '-x+1/2, -x, 1/2', 'x, x+1/2, 1/2'], ['x, -x, 0', '-x+1/2, x+1/2, 0', 'x+1/2, x, 0', '-x, -x+1/2, 0', '-x, x, 0', 'x+1/2, -x+1/2, 0', '-x+1/2, -x, 0', 'x, x+1/2, 0'], ['3/4, 1/4, z', '1/4, 3/4, z', '1/4, 3/4, -z', '3/4, 1/4, -z'], ['0, 0, 1/2', '1/2, 1/2, 1/2', '1/2, 0, 1/2', '0, 1/2, 1/2'], ['0, 0, 0', '1/2, 1/2, 0', '1/2, 0, 0', '0, 1/2, 0'], ['1/4, 1/4, z', '3/4, 3/4, -z'], ['3/4, 1/4, 1/2', '1/4, 3/4, 1/2'], ['3/4, 1/4, 0', '1/4, 3/4, 0']]\"\n130,\"[['x, y, z', '-x+1/2, -y+1/2, z', '-y+1/2, x, z', 'y, -x+1/2, z', '-x, y+1/2, -z+1/2', 'x+1/2, -y, -z+1/2', 'y+1/2, x+1/2, -z+1/2', '-y, -x, -z+1/2', '-x, -y, -z', 'x+1/2, y+1/2, -z', 'y+1/2, -x, -z', '-y, x+1/2, -z', 'x, -y+1/2, z+1/2', '-x+1/2, y, z+1/2', '-y+1/2, -x+1/2, z+1/2', 'y, x, z+1/2'], ['x, -x, 1/4', '-x+1/2, x+1/2, 1/4', 'x+1/2, x, 1/4', '-x, -x+1/2, 1/4', '-x, x, 3/4', 'x+1/2, -x+1/2, 3/4', '-x+1/2, -x, 3/4', 'x, x+1/2, 3/4'], ['3/4, 1/4, z', '1/4, 3/4, z', '1/4, 3/4, -z+1/2', '3/4, 1/4, -z+1/2', '1/4, 3/4, -z', '3/4, 1/4, -z', '3/4, 1/4, z+1/2', '1/4, 3/4, z+1/2'], ['0, 0, 0', '1/2, 1/2, 0', '1/2, 0, 0', '0, 1/2, 0', '0, 1/2, 1/2', '1/2, 0, 1/2', '1/2, 1/2, 1/2', '0, 0, 1/2'], ['1/4, 1/4, z', '3/4, 3/4, -z+1/2', '3/4, 3/4, -z', '1/4, 1/4, z+1/2'], ['3/4, 1/4, 0', '1/4, 3/4, 0', '1/4, 3/4, 1/2', '3/4, 1/4, 1/2'], ['3/4, 1/4, 1/4', '1/4, 3/4, 1/4', '1/4, 3/4, 3/4', '3/4, 1/4, 3/4']]\"\n131,\"[['x, y, z', '-x, -y, z', '-y, x, z+1/2', 'y, -x, z+1/2', '-x, y, -z', 'x, -y, -z', 'y, x, -z+1/2', '-y, -x, -z+1/2', '-x, -y, -z', 'x, y, -z', 'y, -x, -z+1/2', '-y, x, -z+1/2', 'x, -y, z', '-x, y, z', '-y, -x, z+1/2', 'y, x, z+1/2'], ['x, y, 0', '-x, -y, 0', '-y, x, 1/2', 'y, -x, 1/2', '-x, y, 0', 'x, -y, 0', 'y, x, 1/2', '-y, -x, 1/2'], ['1/2, y, z', '1/2, -y, z', '-y, 1/2, z+1/2', 'y, 1/2, z+1/2', '1/2, y, -z', '1/2, -y, -z', 'y, 1/2, -z+1/2', '-y, 1/2, -z+1/2'], ['0, y, z', '0, -y, z', '-y, 0, z+1/2', 'y, 0, z+1/2', '0, y, -z', '0, -y, -z', 'y, 0, -z+1/2', '-y, 0, -z+1/2'], ['x, x, 1/4', '-x, -x, 1/4', '-x, x, 3/4', 'x, -x, 3/4', '-x, -x, 3/4', 'x, x, 3/4', 'x, -x, 1/4', '-x, x, 1/4'], ['x, 1/2, 0', '-x, 1/2, 0', '1/2, x, 1/2', '1/2, -x, 1/2'], ['x, 0, 1/2', '-x, 0, 1/2', '0, x, 0', '0, -x, 0'], ['x, 1/2, 1/2', '-x, 1/2, 1/2', '1/2, x, 0', '1/2, -x, 0'], ['x, 0, 0', '-x, 0, 0', '0, x, 1/2', '0, -x, 1/2'], ['0, 1/2, z', '1/2, 0, z+1/2', '0, 1/2, -z', '1/2, 0, -z+1/2'], ['1/2, 1/2, z', '1/2, 1/2, z+1/2', '1/2, 1/2, -z', '1/2, 1/2, -z+1/2'], ['0, 0, z', '0, 0, z+1/2', '0, 0, -z', '0, 0, -z+1/2'], ['1/2, 1/2, 1/4', '1/2, 1/2, 3/4'], ['0, 0, 1/4', '0, 0, 3/4'], ['0, 1/2, 1/2', '1/2, 0, 0'], ['0, 1/2, 0', '1/2, 0, 1/2'], ['1/2, 1/2, 0', '1/2, 1/2, 1/2'], ['0, 0, 0', '0, 0, 1/2']]\"\n132,\"[['x, y, z', '-x, -y, z', '-y, x, z+1/2', 'y, -x, z+1/2', '-x, y, -z+1/2', 'x, -y, -z+1/2', 'y, x, -z', '-y, -x, -z', '-x, -y, -z', 'x, y, -z', 'y, -x, -z+1/2', '-y, x, -z+1/2', 'x, -y, z+1/2', '-x, y, z+1/2', '-y, -x, z', 'y, x, z'], ['x, x, z', '-x, -x, z', '-x, x, z+1/2', 'x, -x, z+1/2', '-x, x, -z+1/2', 'x, -x, -z+1/2', 'x, x, -z', '-x, -x, -z'], ['x, y, 0', '-x, -y, 0', '-y, x, 1/2', 'y, -x, 1/2', '-x, y, 1/2', 'x, -y, 1/2', 'y, x, 0', '-y, -x, 0'], ['x, 1/2, 1/4', '-x, 1/2, 1/4', '1/2, x, 3/4', '1/2, -x, 3/4', '-x, 1/2, 3/4', 'x, 1/2, 3/4', '1/2, -x, 1/4', '1/2, x, 1/4'], ['x, 0, 1/4', '-x, 0, 1/4', '0, x, 3/4', '0, -x, 3/4', '-x, 0, 3/4', 'x, 0, 3/4', '0, -x, 1/4', '0, x, 1/4'], ['0, 1/2, z', '1/2, 0, z+1/2', '0, 1/2, -z+1/2', '1/2, 0, -z', '0, 1/2, -z', '1/2, 0, -z+1/2', '0, 1/2, z+1/2', '1/2, 0, z'], ['x, x, 1/2', '-x, -x, 1/2', '-x, x, 0', 'x, -x, 0'], ['x, x, 0', '-x, -x, 0', '-x, x, 1/2', 'x, -x, 1/2'], ['1/2, 1/2, z', '1/2, 1/2, z+1/2', '1/2, 1/2, -z+1/2', '1/2, 1/2, -z'], ['0, 0, z', '0, 0, z+1/2', '0, 0, -z+1/2', '0, 0, -z'], ['0, 1/2, 0', '1/2, 0, 1/2', '0, 1/2, 1/2', '1/2, 0, 0'], ['0, 1/2, 1/4', '1/2, 0, 3/4', '0, 1/2, 3/4', '1/2, 0, 1/4'], ['1/2, 1/2, 1/4', '1/2, 1/2, 3/4'], ['1/2, 1/2, 0', '1/2, 1/2, 1/2'], ['0, 0, 1/4', '0, 0, 3/4'], ['0, 0, 0', '0, 0, 1/2']]\"\n133,\"[['x, y, z', '-x+1/2, -y+1/2, z', '-y+1/2, x, z+1/2', 'y, -x+1/2, z+1/2', '-x+1/2, y, -z', 'x, -y+1/2, -z', 'y, x, -z+1/2', '-y+1/2, -x+1/2, -z+1/2', '-x, -y, -z', 'x+1/2, y+1/2, -z', 'y+1/2, -x, -z+1/2', '-y, x+1/2, -z+1/2', 'x+1/2, -y, z', '-x, y+1/2, z', '-y, -x, z+1/2', 'y+1/2, x+1/2, z+1/2'], ['x, x, 1/4', '-x+1/2, -x+1/2, 1/4', '-x+1/2, x, 3/4', 'x, -x+1/2, 3/4', '-x, -x, 3/4', 'x+1/2, x+1/2, 3/4', 'x+1/2, -x, 1/4', '-x, x+1/2, 1/4'], ['x, 1/4, 1/2', '-x+1/2, 1/4, 1/2', '1/4, x, 0', '1/4, -x+1/2, 0', '-x, 3/4, 1/2', 'x+1/2, 3/4, 1/2', '3/4, -x, 0', '3/4, x+1/2, 0'], ['x, 1/4, 0', '-x+1/2, 1/4, 0', '1/4, x, 1/2', '1/4, -x+1/2, 1/2', '-x, 3/4, 0', 'x+1/2, 3/4, 0', '3/4, -x, 1/2', '3/4, x+1/2, 1/2'], ['3/4, 1/4, z', '1/4, 3/4, z+1/2', '3/4, 1/4, -z', '1/4, 3/4, -z+1/2', '1/4, 3/4, -z', '3/4, 1/4, -z+1/2', '1/4, 3/4, z', '3/4, 1/4, z+1/2'], ['1/4, 1/4, z', '1/4, 1/4, z+1/2', '1/4, 1/4, -z', '1/4, 1/4, -z+1/2', '3/4, 3/4, -z', '3/4, 3/4, -z+1/2', '3/4, 3/4, z', '3/4, 3/4, z+1/2'], ['0, 0, 0', '1/2, 1/2, 0', '1/2, 0, 1/2', '0, 1/2, 1/2', '1/2, 0, 0', '0, 1/2, 0', '0, 0, 1/2', '1/2, 1/2, 1/2'], ['3/4, 1/4, 3/4', '1/4, 3/4, 1/4', '3/4, 1/4, 1/4', '1/4, 3/4, 3/4'], ['1/4, 1/4, 1/4', '1/4, 1/4, 3/4', '3/4, 3/4, 3/4', '3/4, 3/4, 1/4'], ['3/4, 1/4, 0', '1/4, 3/4, 1/2', '1/4, 3/4, 0', '3/4, 1/4, 1/2'], ['1/4, 1/4, 0', '1/4, 1/4, 1/2', '3/4, 3/4, 0', '3/4, 3/4, 1/2']]\"\n134,\"[['x, y, z', '-x+1/2, -y+1/2, z', '-y+1/2, x, z+1/2', 'y, -x+1/2, z+1/2', '-x+1/2, y, -z+1/2', 'x, -y+1/2, -z+1/2', 'y, x, -z', '-y+1/2, -x+1/2, -z', '-x, -y, -z', 'x+1/2, y+1/2, -z', 'y+1/2, -x, -z+1/2', '-y, x+1/2, -z+1/2', 'x+1/2, -y, z+1/2', '-x, y+1/2, z+1/2', '-y, -x, z', 'y+1/2, x+1/2, z'], ['x, -x, z', '-x+1/2, x+1/2, z', 'x+1/2, x, z+1/2', '-x, -x+1/2, z+1/2', '-x+1/2, -x, -z+1/2', 'x, x+1/2, -z+1/2', '-x, x, -z', 'x+1/2, -x+1/2, -z'], ['x, x, 1/2', '-x+1/2, -x+1/2, 1/2', '-x+1/2, x, 0', 'x, -x+1/2, 0', '-x, -x, 1/2', 'x+1/2, x+1/2, 1/2', 'x+1/2, -x, 0', '-x, x+1/2, 0'], ['x, x, 0', '-x+1/2, -x+1/2, 0', '-x+1/2, x, 1/2', 'x, -x+1/2, 1/2', '-x, -x, 0', 'x+1/2, x+1/2, 0', 'x+1/2, -x, 1/2', '-x, x+1/2, 1/2'], ['x, 1/4, 1/4', '-x+1/2, 1/4, 1/4', '1/4, x, 3/4', '1/4, -x+1/2, 3/4', '-x, 3/4, 3/4', 'x+1/2, 3/4, 3/4', '3/4, -x, 1/4', '3/4, x+1/2, 1/4'], ['x, 1/4, 3/4', '-x+1/2, 1/4, 3/4', '1/4, x, 1/4', '1/4, -x+1/2, 1/4', '-x, 3/4, 1/4', 'x+1/2, 3/4, 1/4', '3/4, -x, 3/4', '3/4, x+1/2, 3/4'], ['1/4, 1/4, z', '1/4, 1/4, z+1/2', '1/4, 1/4, -z+1/2', '1/4, 1/4, -z', '3/4, 3/4, -z', '3/4, 3/4, -z+1/2', '3/4, 3/4, z+1/2', '3/4, 3/4, z'], ['3/4, 1/4, z', '1/4, 3/4, z+1/2', '3/4, 1/4, -z+1/2', '1/4, 3/4, -z'], ['0, 0, 0', '1/2, 1/2, 0', '1/2, 0, 1/2', '0, 1/2, 1/2'], ['0, 0, 1/2', '1/2, 1/2, 1/2', '1/2, 0, 0', '0, 1/2, 0'], ['1/4, 1/4, 0', '1/4, 1/4, 1/2', '3/4, 3/4, 0', '3/4, 3/4, 1/2'], ['1/4, 1/4, 1/4', '1/4, 1/4, 3/4', '3/4, 3/4, 3/4', '3/4, 3/4, 1/4'], ['3/4, 1/4, 1/4', '1/4, 3/4, 3/4'], ['1/4, 3/4, 1/4', '3/4, 1/4, 3/4']]\"\n135,\"[['x, y, z', '-x, -y, z', '-y, x, z+1/2', 'y, -x, z+1/2', '-x+1/2, y+1/2, -z', 'x+1/2, -y+1/2, -z', 'y+1/2, x+1/2, -z+1/2', '-y+1/2, -x+1/2, -z+1/2', '-x, -y, -z', 'x, y, -z', 'y, -x, -z+1/2', '-y, x, -z+1/2', 'x+1/2, -y+1/2, z', '-x+1/2, y+1/2, z', '-y+1/2, -x+1/2, z+1/2', 'y+1/2, x+1/2, z+1/2'], ['x, y, 0', '-x, -y, 0', '-y, x, 1/2', 'y, -x, 1/2', '-x+1/2, y+1/2, 0', 'x+1/2, -y+1/2, 0', 'y+1/2, x+1/2, 1/2', '-y+1/2, -x+1/2, 1/2'], ['x, x+1/2, 1/4', '-x, -x+1/2, 1/4', '-x+1/2, x, 3/4', 'x+1/2, -x, 3/4', '-x, -x+1/2, 3/4', 'x, x+1/2, 3/4', 'x+1/2, -x, 1/4', '-x+1/2, x, 1/4'], ['0, 1/2, z', '1/2, 0, z+1/2', '1/2, 0, -z', '0, 1/2, -z+1/2', '0, 1/2, -z', '1/2, 0, -z+1/2', '1/2, 0, z', '0, 1/2, z+1/2'], ['0, 0, z', '0, 0, z+1/2', '1/2, 1/2, -z', '1/2, 1/2, -z+1/2', '0, 0, -z', '0, 0, -z+1/2', '1/2, 1/2, z', '1/2, 1/2, z+1/2'], ['0, 1/2, 1/4', '1/2, 0, 3/4', '0, 1/2, 3/4', '1/2, 0, 1/4'], ['0, 1/2, 0', '1/2, 0, 1/2', '1/2, 0, 0', '0, 1/2, 1/2'], ['0, 0, 1/4', '0, 0, 3/4', '1/2, 1/2, 3/4', '1/2, 1/2, 1/4'], ['0, 0, 0', '0, 0, 1/2', '1/2, 1/2, 0', '1/2, 1/2, 1/2']]\"\n136,\"[['x, y, z', '-x, -y, z', '-y+1/2, x+1/2, z+1/2', 'y+1/2, -x+1/2, z+1/2', '-x+1/2, y+1/2, -z+1/2', 'x+1/2, -y+1/2, -z+1/2', 'y, x, -z', '-y, -x, -z', '-x, -y, -z', 'x, y, -z', 'y+1/2, -x+1/2, -z+1/2', '-y+1/2, x+1/2, -z+1/2', 'x+1/2, -y+1/2, z+1/2', '-x+1/2, y+1/2, z+1/2', '-y, -x, z', 'y, x, z'], ['x, x, z', '-x, -x, z', '-x+1/2, x+1/2, z+1/2', 'x+1/2, -x+1/2, z+1/2', '-x+1/2, x+1/2, -z+1/2', 'x+1/2, -x+1/2, -z+1/2', 'x, x, -z', '-x, -x, -z'], ['x, y, 0', '-x, -y, 0', '-y+1/2, x+1/2, 1/2', 'y+1/2, -x+1/2, 1/2', '-x+1/2, y+1/2, 1/2', 'x+1/2, -y+1/2, 1/2', 'y, x, 0', '-y, -x, 0'], ['0, 1/2, z', '0, 1/2, z+1/2', '1/2, 0, -z+1/2', '1/2, 0, -z', '0, 1/2, -z', '0, 1/2, -z+1/2', '1/2, 0, z+1/2', '1/2, 0, z'], ['x, -x, 0', '-x, x, 0', 'x+1/2, x+1/2, 1/2', '-x+1/2, -x+1/2, 1/2'], ['x, x, 0', '-x, -x, 0', '-x+1/2, x+1/2, 1/2', 'x+1/2, -x+1/2, 1/2'], ['0, 0, z', '1/2, 1/2, z+1/2', '1/2, 1/2, -z+1/2', '0, 0, -z'], ['0, 1/2, 1/4', '0, 1/2, 3/4', '1/2, 0, 1/4', '1/2, 0, 3/4'], ['0, 1/2, 0', '0, 1/2, 1/2', '1/2, 0, 1/2', '1/2, 0, 0'], ['0, 0, 1/2', '1/2, 1/2, 0'], ['0, 0, 0', '1/2, 1/2, 1/2']]\"\n137,\"[['x, y, z', '-x+1/2, -y+1/2, z', '-y+1/2, x, z+1/2', 'y, -x+1/2, z+1/2', '-x, y+1/2, -z', 'x+1/2, -y, -z', 'y+1/2, x+1/2, -z+1/2', '-y, -x, -z+1/2', '-x, -y, -z', 'x+1/2, y+1/2, -z', 'y+1/2, -x, -z+1/2', '-y, x+1/2, -z+1/2', 'x, -y+1/2, z', '-x+1/2, y, z', '-y+1/2, -x+1/2, z+1/2', 'y, x, z+1/2'], ['1/4, y, z', '1/4, -y+1/2, z', '-y+1/2, 1/4, z+1/2', 'y, 1/4, z+1/2', '3/4, y+1/2, -z', '3/4, -y, -z', 'y+1/2, 3/4, -z+1/2', '-y, 3/4, -z+1/2'], ['x, -x, 1/4', '-x+1/2, x+1/2, 1/4', 'x+1/2, x, 3/4', '-x, -x+1/2, 3/4', '-x, x, 3/4', 'x+1/2, -x+1/2, 3/4', '-x+1/2, -x, 1/4', 'x, x+1/2, 1/4'], ['0, 0, 0', '1/2, 1/2, 0', '1/2, 0, 1/2', '0, 1/2, 1/2', '0, 1/2, 0', '1/2, 0, 0', '1/2, 1/2, 1/2', '0, 0, 1/2'], ['1/4, 1/4, z', '1/4, 1/4, z+1/2', '3/4, 3/4, -z', '3/4, 3/4, -z+1/2'], ['3/4, 1/4, z', '1/4, 3/4, z+1/2', '1/4, 3/4, -z', '3/4, 1/4, -z+1/2'], ['3/4, 1/4, 1/4', '1/4, 3/4, 3/4'], ['3/4, 1/4, 3/4', '1/4, 3/4, 1/4']]\"\n138,\"[['x, y, z', '-x+1/2, -y+1/2, z', '-y+1/2, x, z+1/2', 'y, -x+1/2, z+1/2', '-x, y+1/2, -z+1/2', 'x+1/2, -y, -z+1/2', 'y+1/2, x+1/2, -z', '-y, -x, -z', '-x, -y, -z', 'x+1/2, y+1/2, -z', 'y+1/2, -x, -z+1/2', '-y, x+1/2, -z+1/2', 'x, -y+1/2, z+1/2', '-x+1/2, y, z+1/2', '-y+1/2, -x+1/2, z', 'y, x, z'], ['x, x, z', '-x+1/2, -x+1/2, z', '-x+1/2, x, z+1/2', 'x, -x+1/2, z+1/2', '-x, x+1/2, -z+1/2', 'x+1/2, -x, -z+1/2', 'x+1/2, x+1/2, -z', '-x, -x, -z'], ['x, -x, 0', '-x+1/2, x+1/2, 0', 'x+1/2, x, 1/2', '-x, -x+1/2, 1/2', '-x, x, 0', 'x+1/2, -x+1/2, 0', '-x+1/2, -x, 1/2', 'x, x+1/2, 1/2'], ['x, -x, 1/2', '-x+1/2, x+1/2, 1/2', 'x+1/2, x, 0', '-x, -x+1/2, 0', '-x, x, 1/2', 'x+1/2, -x+1/2, 1/2', '-x+1/2, -x, 0', 'x, x+1/2, 0'], ['3/4, 1/4, z', '1/4, 3/4, z+1/2', '1/4, 3/4, -z+1/2', '3/4, 1/4, -z', '1/4, 3/4, -z', '3/4, 1/4, -z+1/2', '3/4, 1/4, z+1/2', '1/4, 3/4, z'], ['1/4, 1/4, z', '1/4, 1/4, z+1/2', '3/4, 3/4, -z+1/2', '3/4, 3/4, -z'], ['0, 0, 0', '1/2, 1/2, 0', '1/2, 0, 1/2', '0, 1/2, 1/2'], ['0, 0, 1/2', '1/2, 1/2, 1/2', '1/2, 0, 0', '0, 1/2, 0'], ['3/4, 1/4, 3/4', '1/4, 3/4, 1/4', '1/4, 3/4, 3/4', '3/4, 1/4, 1/4'], ['3/4, 1/4, 0', '1/4, 3/4, 1/2', '1/4, 3/4, 0', '3/4, 1/4, 1/2']]\"\n139,\"[['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z', '-x, y, -z', 'x, -y, -z', 'y, x, -z', '-y, -x, -z', '-x, -y, -z', 'x, y, -z', 'y, -x, -z', '-y, x, -z', 'x, -y, z', '-x, y, z', '-y, -x, z', 'y, x, z', 'x+1/2, y+1/2, z+1/2', '-x+1/2, -y+1/2, z+1/2', '-y+1/2, x+1/2, z+1/2', 'y+1/2, -x+1/2, z+1/2', '-x+1/2, y+1/2, -z+1/2', 'x+1/2, -y+1/2, -z+1/2', 'y+1/2, x+1/2, -z+1/2', '-y+1/2, -x+1/2, -z+1/2', '-x+1/2, -y+1/2, -z+1/2', 'x+1/2, y+1/2, -z+1/2', 'y+1/2, -x+1/2, -z+1/2', '-y+1/2, x+1/2, -z+1/2', 'x+1/2, -y+1/2, z+1/2', '-x+1/2, y+1/2, z+1/2', '-y+1/2, -x+1/2, z+1/2', 'y+1/2, x+1/2, z+1/2'], ['0, y, z', '0, -y, z', '-y, 0, z', 'y, 0, z', '0, y, -z', '0, -y, -z', 'y, 0, -z', '-y, 0, -z', '1/2, y+1/2, z+1/2', '1/2, -y+1/2, z+1/2', '-y+1/2, 1/2, z+1/2', 'y+1/2, 1/2, z+1/2', '1/2, y+1/2, -z+1/2', '1/2, -y+1/2, -z+1/2', 'y+1/2, 1/2, -z+1/2', '-y+1/2, 1/2, -z+1/2'], ['x, x, z', '-x, -x, z', '-x, x, z', 'x, -x, z', '-x, x, -z', 'x, -x, -z', 'x, x, -z', '-x, -x, -z', 'x+1/2, x+1/2, z+1/2', '-x+1/2, -x+1/2, z+1/2', '-x+1/2, x+1/2, z+1/2', 'x+1/2, -x+1/2, z+1/2', '-x+1/2, x+1/2, -z+1/2', 'x+1/2, -x+1/2, -z+1/2', 'x+1/2, x+1/2, -z+1/2', '-x+1/2, -x+1/2, -z+1/2'], ['x, y, 0', '-x, -y, 0', '-y, x, 0', 'y, -x, 0', '-x, y, 0', 'x, -y, 0', 'y, x, 0', '-y, -x, 0', 'x+1/2, y+1/2, 1/2', '-x+1/2, -y+1/2, 1/2', '-y+1/2, x+1/2, 1/2', 'y+1/2, -x+1/2, 1/2', '-x+1/2, y+1/2, 1/2', 'x+1/2, -y+1/2, 1/2', 'y+1/2, x+1/2, 1/2', '-y+1/2, -x+1/2, 1/2'], ['x, x+1/2, 1/4', '-x, -x+1/2, 1/4', '-x+1/2, x, 1/4', 'x+1/2, -x, 1/4', '-x, -x+1/2, 3/4', 'x, x+1/2, 3/4', 'x+1/2, -x, 3/4', '-x+1/2, x, 3/4', 'x+1/2, x+1, 3/4', '-x+1/2, -x+1, 3/4', '-x+1, x+1/2, 3/4', 'x+1, -x+1/2, 3/4', '-x+1/2, -x+1, 5/4', 'x+1/2, x+1, 5/4', 'x+1, -x+1/2, 5/4', '-x+1, x+1/2, 5/4'], ['x, 1/2, 0', '-x, 1/2, 0', '1/2, x, 0', '1/2, -x, 0', 'x+1/2, 1, 1/2', '-x+1/2, 1, 1/2', '1, x+1/2, 1/2', '1, -x+1/2, 1/2'], ['x, 0, 0', '-x, 0, 0', '0, x, 0', '0, -x, 0', 'x+1/2, 1/2, 1/2', '-x+1/2, 1/2, 1/2', '1/2, x+1/2, 1/2', '1/2, -x+1/2, 1/2'], ['x, x, 0', '-x, -x, 0', '-x, x, 0', 'x, -x, 0', 'x+1/2, x+1/2, 1/2', '-x+1/2, -x+1/2, 1/2', '-x+1/2, x+1/2, 1/2', 'x+1/2, -x+1/2, 1/2'], ['0, 1/2, z', '1/2, 0, z', '0, 1/2, -z', '1/2, 0, -z', '1/2, 1, z+1/2', '1, 1/2, z+1/2', '1/2, 1, -z+1/2', '1, 1/2, -z+1/2'], ['1/4, 1/4, 1/4', '3/4, 3/4, 1/4', '3/4, 1/4, 1/4', '1/4, 3/4, 1/4', '3/4, 3/4, 3/4', '5/4, 5/4, 3/4', '5/4, 3/4, 3/4', '3/4, 5/4, 3/4'], ['0, 0, z', '0, 0, -z', '1/2, 1/2, z+1/2', '1/2, 1/2, -z+1/2'], ['0, 1/2, 1/4', '1/2, 0, 1/4', '1/2, 1, 3/4', '1, 1/2, 3/4'], ['0, 1/2, 0', '1/2, 0, 0', '1/2, 1, 1/2', '1, 1/2, 1/2'], ['0, 0, 1/2', '1/2, 1/2, 1'], ['0, 0, 0', '1/2, 1/2, 1/2']]\"\n140,\"[['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z', '-x, y, -z+1/2', 'x, -y, -z+1/2', 'y, x, -z+1/2', '-y, -x, -z+1/2', '-x, -y, -z', 'x, y, -z', 'y, -x, -z', '-y, x, -z', 'x, -y, z+1/2', '-x, y, z+1/2', '-y, -x, z+1/2', 'y, x, z+1/2', 'x+1/2, y+1/2, z+1/2', '-x+1/2, -y+1/2, z+1/2', '-y+1/2, x+1/2, z+1/2', 'y+1/2, -x+1/2, z+1/2', '-x+1/2, y+1/2, -z+1', 'x+1/2, -y+1/2, -z+1', 'y+1/2, x+1/2, -z+1', '-y+1/2, -x+1/2, -z+1', '-x+1/2, -y+1/2, -z+1/2', 'x+1/2, y+1/2, -z+1/2', 'y+1/2, -x+1/2, -z+1/2', '-y+1/2, x+1/2, -z+1/2', 'x+1/2, -y+1/2, z+1', '-x+1/2, y+1/2, z+1', '-y+1/2, -x+1/2, z+1', 'y+1/2, x+1/2, z+1'], ['x, x+1/2, z', '-x, -x+1/2, z', '-x+1/2, x, z', 'x+1/2, -x, z', '-x, x+1/2, -z+1/2', 'x, -x+1/2, -z+1/2', 'x+1/2, x, -z+1/2', '-x+1/2, -x, -z+1/2', 'x+1/2, x+1, z+1/2', '-x+1/2, -x+1, z+1/2', '-x+1, x+1/2, z+1/2', 'x+1, -x+1/2, z+1/2', '-x+1/2, x+1, -z+1', 'x+1/2, -x+1, -z+1', 'x+1, x+1/2, -z+1', '-x+1, -x+1/2, -z+1'], ['x, y, 0', '-x, -y, 0', '-y, x, 0', 'y, -x, 0', '-x, y, 1/2', 'x, -y, 1/2', 'y, x, 1/2', '-y, -x, 1/2', 'x+1/2, y+1/2, 1/2', '-x+1/2, -y+1/2, 1/2', '-y+1/2, x+1/2, 1/2', 'y+1/2, -x+1/2, 1/2', '-x+1/2, y+1/2, 1', 'x+1/2, -y+1/2, 1', 'y+1/2, x+1/2, 1', '-y+1/2, -x+1/2, 1'], ['x, 0, 1/4', '-x, 0, 1/4', '0, x, 1/4', '0, -x, 1/4', '-x, 0, 3/4', 'x, 0, 3/4', '0, -x, 3/4', '0, x, 3/4', 'x+1/2, 1/2, 3/4', '-x+1/2, 1/2, 3/4', '1/2, x+1/2, 3/4', '1/2, -x+1/2, 3/4', '-x+1/2, 1/2, 5/4', 'x+1/2, 1/2, 5/4', '1/2, -x+1/2, 5/4', '1/2, x+1/2, 5/4'], ['x, x, 1/4', '-x, -x, 1/4', '-x, x, 1/4', 'x, -x, 1/4', '-x, -x, 3/4', 'x, x, 3/4', 'x, -x, 3/4', '-x, x, 3/4', 'x+1/2, x+1/2, 3/4', '-x+1/2, -x+1/2, 3/4', '-x+1/2, x+1/2, 3/4', 'x+1/2, -x+1/2, 3/4', '-x+1/2, -x+1/2, 5/4', 'x+1/2, x+1/2, 5/4', 'x+1/2, -x+1/2, 5/4', '-x+1/2, x+1/2, 5/4'], ['x, x+1/2, 0', '-x, -x+1/2, 0', '-x+1/2, x, 0', 'x+1/2, -x, 0', 'x+1/2, x+1, 1/2', '-x+1/2, -x+1, 1/2', '-x+1, x+1/2, 1/2', 'x+1, -x+1/2, 1/2'], ['0, 1/2, z', '1/2, 0, z', '0, 1/2, -z+1/2', '1/2, 0, -z+1/2', '1/2, 1, z+1/2', '1, 1/2, z+1/2', '1/2, 1, -z+1', '1, 1/2, -z+1'], ['0, 0, z', '0, 0, -z+1/2', '0, 0, -z', '0, 0, z+1/2', '1/2, 1/2, z+1/2', '1/2, 1/2, -z+1', '1/2, 1/2, -z+1/2', '1/2, 1/2, z+1'], ['1/4, 1/4, 1/4', '3/4, 3/4, 1/4', '3/4, 1/4, 1/4', '1/4, 3/4, 1/4', '3/4, 3/4, 3/4', '5/4, 5/4, 3/4', '5/4, 3/4, 3/4', '3/4, 5/4, 3/4'], ['0, 1/2, 0', '1/2, 0, 0', '1/2, 1, 1/2', '1, 1/2, 1/2'], ['0, 0, 0', '0, 0, 1/2', '1/2, 1/2, 1/2', '1/2, 1/2, 1'], ['0, 1/2, 1/4', '1/2, 0, 1/4', '1/2, 1, 3/4', '1, 1/2, 3/4'], ['0, 0, 1/4', '0, 0, 3/4', '1/2, 1/2, 3/4', '1/2, 1/2, 5/4']]\"\n141,\"[['x, y, z', '-x+1/2, -y, z+1/2', '-y+1/4, x+3/4, z+1/4', 'y+1/4, -x+1/4, z+3/4', '-x+1/2, y, -z+1/2', 'x, -y, -z', 'y+1/4, x+3/4, -z+1/4', '-y+1/4, -x+1/4, -z+3/4', '-x, -y, -z', 'x+1/2, y, -z+1/2', 'y+3/4, -x+1/4, -z+3/4', '-y+3/4, x+3/4, -z+1/4', 'x+1/2, -y, z+1/2', '-x, y, z', '-y+3/4, -x+1/4, z+3/4', 'y+3/4, x+3/4, z+1/4', 'x+1/2, y+1/2, z+1/2', '-x+1, -y+1/2, z+1', '-y+3/4, x+5/4, z+3/4', 'y+3/4, -x+3/4, z+5/4', '-x+1, y+1/2, -z+1', 'x+1/2, -y+1/2, -z+1/2', 'y+3/4, x+5/4, -z+3/4', '-y+3/4, -x+3/4, -z+5/4', '-x+1/2, -y+1/2, -z+1/2', 'x+1, y+1/2, -z+1', 'y+5/4, -x+3/4, -z+5/4', '-y+5/4, x+5/4, -z+3/4', 'x+1, -y+1/2, z+1', '-x+1/2, y+1/2, z+1/2', '-y+5/4, -x+3/4, z+5/4', 'y+5/4, x+5/4, z+3/4'], ['0, y, z', '1/2, -y, z+1/2', '-y+1/4, 3/4, z+1/4', 'y+1/4, 1/4, z+3/4', '1/2, y, -z+1/2', '0, -y, -z', 'y+1/4, 3/4, -z+1/4', '-y+1/4, 1/4, -z+3/4', '1/2, y+1/2, z+1/2', '1, -y+1/2, z+1', '-y+3/4, 5/4, z+3/4', 'y+3/4, 3/4, z+5/4', '1, y+1/2, -z+1', '1/2, -y+1/2, -z+1/2', 'y+3/4, 5/4, -z+3/4', '-y+3/4, 3/4, -z+5/4'], ['x, x+1/4, 7/8', '-x+1/2, -x+3/4, 3/8', '-x, x+3/4, 1/8', 'x+1/2, -x+1/4, 5/8', '-x, -x+3/4, 1/8', 'x+1/2, x+1/4, 5/8', 'x, -x+1/4, 7/8', '-x+1/2, x+3/4, 3/8', 'x+1/2, x+3/4, 11/8', '-x+1, -x+5/4, 7/8', '-x+1/2, x+5/4, 5/8', 'x+1, -x+3/4, 9/8', '-x+1/2, -x+5/4, 5/8', 'x+1, x+3/4, 9/8', 'x+1/2, -x+3/4, 11/8', '-x+1, x+5/4, 7/8'], ['x, 0, 0', '-x+1/2, 0, 1/2', '1/4, x+3/4, 1/4', '1/4, -x+1/4, 3/4', '-x, 0, 0', 'x+1/2, 0, 1/2', '3/4, -x+1/4, 3/4', '3/4, x+3/4, 1/4', 'x+1/2, 1/2, 1/2', '-x+1, 1/2, 1', '3/4, x+5/4, 3/4', '3/4, -x+3/4, 5/4', '-x+1/2, 1/2, 1/2', 'x+1, 1/2, 1', '5/4, -x+3/4, 5/4', '5/4, x+5/4, 3/4'], ['0, 1/4, z', '0, 3/4, z+1/4', '1/2, 1/4, -z+1/2', '1/2, 3/4, -z+1/4', '1/2, 3/4, z+1/2', '1/2, 5/4, z+3/4', '1, 3/4, -z+1', '1, 5/4, -z+3/4'], ['0, 0, 1/2', '1/2, 0, 0', '1/4, 3/4, 3/4', '1/4, 1/4, 1/4', '1/2, 1/2, 1', '1, 1/2, 1/2', '3/4, 5/4, 5/4', '3/4, 3/4, 3/4'], ['0, 0, 0', '1/2, 0, 1/2', '1/4, 3/4, 1/4', '1/4, 1/4, 3/4', '1/2, 1/2, 1/2', '1, 1/2, 1', '3/4, 5/4, 3/4', '3/4, 3/4, 5/4'], ['0, 1/4, 3/8', '0, 3/4, 5/8', '1/2, 3/4, 7/8', '1/2, 5/4, 9/8'], ['0, 3/4, 1/8', '1/2, 3/4, 3/8', '1/2, 5/4, 5/8', '1, 5/4, 7/8']]\"\n142,\"[['x, y, z', '-x+1/2, -y, z+1/2', '-y+1/4, x+3/4, z+1/4', 'y+1/4, -x+1/4, z+3/4', '-x+1/2, y, -z', 'x, -y, -z+1/2', 'y+1/4, x+3/4, -z+3/4', '-y+1/4, -x+1/4, -z+1/4', '-x, -y, -z', 'x+1/2, y, -z+1/2', 'y+3/4, -x+1/4, -z+3/4', '-y+3/4, x+3/4, -z+1/4', 'x+1/2, -y, z', '-x, y, z+1/2', '-y+3/4, -x+1/4, z+1/4', 'y+3/4, x+3/4, z+3/4', 'x+1/2, y+1/2, z+1/2', '-x+1, -y+1/2, z+1', '-y+3/4, x+5/4, z+3/4', 'y+3/4, -x+3/4, z+5/4', '-x+1, y+1/2, -z+1/2', 'x+1/2, -y+1/2, -z+1', 'y+3/4, x+5/4, -z+5/4', '-y+3/4, -x+3/4, -z+3/4', '-x+1/2, -y+1/2, -z+1/2', 'x+1, y+1/2, -z+1', 'y+5/4, -x+3/4, -z+5/4', '-y+5/4, x+5/4, -z+3/4', 'x+1, -y+1/2, z+1/2', '-x+1/2, y+1/2, z+1', '-y+5/4, -x+3/4, z+3/4', 'y+5/4, x+5/4, z+5/4'], ['x, x+1/4, 1/8', '-x+1/2, -x+3/4, 5/8', '-x, x+3/4, 3/8', 'x+1/2, -x+1/4, 7/8', '-x, -x+3/4, 7/8', 'x+1/2, x+1/4, 3/8', 'x, -x+1/4, 5/8', '-x+1/2, x+3/4, 1/8', 'x+1/2, x+3/4, 5/8', '-x+1, -x+5/4, 9/8', '-x+1/2, x+5/4, 7/8', 'x+1, -x+3/4, 11/8', '-x+1/2, -x+5/4, 11/8', 'x+1, x+3/4, 7/8', 'x+1/2, -x+3/4, 9/8', '-x+1, x+5/4, 5/8'], ['x, 0, 1/4', '-x+1/2, 0, 3/4', '1/4, x+3/4, 1/2', '1/4, -x+1/4, 0', '-x, 0, 3/4', 'x+1/2, 0, 1/4', '3/4, -x+1/4, 1/2', '3/4, x+3/4, 0', 'x+1/2, 1/2, 3/4', '-x+1, 1/2, 5/4', '3/4, x+5/4, 1', '3/4, -x+3/4, 1/2', '-x+1/2, 1/2, 5/4', 'x+1, 1/2, 3/4', '5/4, -x+3/4, 1', '5/4, x+5/4, 1/2'], ['0, 1/4, z', '0, 3/4, z+1/4', '1/2, 1/4, -z', '1/2, 3/4, -z+3/4', '0, 3/4, -z', '0, 1/4, -z+3/4', '1/2, 3/4, z', '1/2, 1/4, z+1/4', '1/2, 3/4, z+1/2', '1/2, 5/4, z+3/4', '1, 3/4, -z+1/2', '1, 5/4, -z+5/4', '1/2, 5/4, -z+1/2', '1/2, 3/4, -z+5/4', '1, 5/4, z+1/2', '1, 3/4, z+3/4'], ['0, 0, 0', '1/2, 0, 1/2', '1/4, 3/4, 1/4', '1/4, 1/4, 3/4', '1/2, 0, 0', '0, 0, 1/2', '1/4, 3/4, 3/4', '1/4, 1/4, 1/4', '1/2, 1/2, 1/2', '1, 1/2, 1', '3/4, 5/4, 3/4', '3/4, 3/4, 5/4', '1, 1/2, 1/2', '1/2, 1/2, 1', '3/4, 5/4, 5/4', '3/4, 3/4, 3/4'], ['0, 1/4, 1/8', '0, 3/4, 3/8', '0, 3/4, 7/8', '0, 1/4, 5/8', '1/2, 3/4, 5/8', '1/2, 5/4, 7/8', '1/2, 5/4, 11/8', '1/2, 3/4, 9/8'], ['0, 1/4, 3/8', '0, 3/4, 5/8', '1/2, 1/4, 5/8', '1/2, 3/4, 3/8', '1/2, 3/4, 7/8', '1/2, 5/4, 9/8', '1, 3/4, 9/8', '1, 5/4, 7/8']]\"\n143,\"[['x, y, z', '-y, x-y, z', '-x+y, -x, z'], ['2/3, 1/3, z'], ['1/3, 2/3, z'], ['0, 0, z']]\"\n144,\"[['x, y, z', '-y, x-y, z+1/3', '-x+y, -x, z+2/3']]\"\n145,\"[['x, y, z', '-y, x-y, z+2/3', '-x+y, -x, z+1/3']]\"\n146,\"[['x, y, z', '-y, x-y, z', '-x+y, -x, z', 'x+2/3, y+1/3, z+1/3', '-y+2/3, x-y+1/3, z+1/3', '-x+y+2/3, -x+1/3, z+1/3', 'x+1/3, y+2/3, z+2/3', '-y+1/3, x-y+2/3, z+2/3', '-x+y+1/3, -x+2/3, z+2/3'], ['0, 0, z', '2/3, 1/3, z+1/3', '1/3, 2/3, z+2/3']]\"\n147,\"[['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, -z', 'y, -x+y, -z', 'x-y, x, -z'], ['1/2, 0, 1/2', '0, 1/2, 1/2', '1/2, 1/2, 1/2'], ['1/2, 0, 0', '0, 1/2, 0', '1/2, 1/2, 0'], ['1/3, 2/3, z', '2/3, 1/3, -z'], ['0, 0, z', '0, 0, -z'], ['0, 0, 1/2'], ['0, 0, 0']]\"\n148,\"[['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, -z', 'y, -x+y, -z', 'x-y, x, -z', 'x+2/3, y+1/3, z+1/3', '-y+2/3, x-y+1/3, z+1/3', '-x+y+2/3, -x+1/3, z+1/3', '-x+2/3, -y+1/3, -z+1/3', 'y+2/3, -x+y+1/3, -z+1/3', 'x-y+2/3, x+1/3, -z+1/3', 'x+1/3, y+2/3, z+2/3', '-y+1/3, x-y+2/3, z+2/3', '-x+y+1/3, -x+2/3, z+2/3', '-x+1/3, -y+2/3, -z+2/3', 'y+1/3, -x+y+2/3, -z+2/3', 'x-y+1/3, x+2/3, -z+2/3'], ['1/2, 0, 0', '0, 1/2, 0', '1/2, 1/2, 0', '7/6, 1/3, 1/3', '2/3, 5/6, 1/3', '7/6, 5/6, 1/3', '5/6, 2/3, 2/3', '1/3, 7/6, 2/3', '5/6, 7/6, 2/3'], ['1/2, 0, 1/2', '0, 1/2, 1/2', '1/2, 1/2, 1/2', '7/6, 1/3, 5/6', '2/3, 5/6, 5/6', '7/6, 5/6, 5/6', '5/6, 2/3, 7/6', '1/3, 7/6, 7/6', '5/6, 7/6, 7/6'], ['0, 0, z', '0, 0, -z', '2/3, 1/3, z+1/3', '2/3, 1/3, -z+1/3', '1/3, 2/3, z+2/3', '1/3, 2/3, -z+2/3'], ['0, 0, 1/2', '2/3, 1/3, 5/6', '1/3, 2/3, 7/6'], ['0, 0, 0', '2/3, 1/3, 1/3', '1/3, 2/3, 2/3']]\"\n149,\"[['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-y, -x, -z', '-x+y, y, -z', 'x, x-y, -z'], ['x, -x, 1/2', 'x, 2x, 1/2', '-2x, -x, 1/2'], ['x, -x, 0', 'x, 2x, 0', '-2x, -x, 0'], ['2/3, 1/3, z', '2/3, 1/3, -z'], ['1/3, 2/3, z', '1/3, 2/3, -z'], ['0, 0, z', '0, 0, -z'], ['2/3, 1/3, 1/2'], ['2/3, 1/3, 0'], ['1/3, 2/3, 1/2'], ['1/3, 2/3, 0'], ['0, 0, 1/2'], ['0, 0, 0']]\"\n150,\"[['x, y, z', '-y, x-y, z', '-x+y, -x, z', 'y, x, -z', 'x-y, -y, -z', '-x, -x+y, -z'], ['x, 0, 1/2', '0, x, 1/2', '-x, -x, 1/2'], ['x, 0, 0', '0, x, 0', '-x, -x, 0'], ['1/3, 2/3, z', '2/3, 1/3, -z'], ['0, 0, z', '0, 0, -z'], ['0, 0, 1/2'], ['0, 0, 0']]\"\n151,\"[['x, y, z', '-y, x-y, z+1/3', '-x+y, -x, z+2/3', '-y, -x, -z+2/3', '-x+y, y, -z+1/3', 'x, x-y, -z'], ['x, -x, 5/6', 'x, 2x, 1/6', '-2x, -x, 1/2'], ['x, -x, 1/3', 'x, 2x, 2/3', '-2x, -x, 0']]\"\n152,\"[['x, y, z', '-y, x-y, z+1/3', '-x+y, -x, z+2/3', 'y, x, -z', 'x-y, -y, -z+2/3', '-x, -x+y, -z+1/3'], ['x, 0, 5/6', '0, x, 1/6', '-x, -x, 1/2'], ['x, 0, 1/3', '0, x, 2/3', '-x, -x, 0']]\"\n153,\"[['x, y, z', '-y, x-y, z+2/3', '-x+y, -x, z+1/3', '-y, -x, -z+1/3', '-x+y, y, -z+2/3', 'x, x-y, -z'], ['x, -x, 1/6', 'x, 2x, 5/6', '-2x, -x, 1/2'], ['x, -x, 2/3', 'x, 2x, 1/3', '-2x, -x, 0']]\"\n154,\"[['x, y, z', '-y, x-y, z+2/3', '-x+y, -x, z+1/3', 'y, x, -z', 'x-y, -y, -z+1/3', '-x, -x+y, -z+2/3'], ['x, 0, 1/6', '0, x, 5/6', '-x, -x, 1/2'], ['x, 0, 2/3', '0, x, 1/3', '-x, -x, 0']]\"\n155,\"[['x, y, z', '-y, x-y, z', '-x+y, -x, z', 'y, x, -z', 'x-y, -y, -z', '-x, -x+y, -z', 'x+2/3, y+1/3, z+1/3', '-y+2/3, x-y+1/3, z+1/3', '-x+y+2/3, -x+1/3, z+1/3', 'y+2/3, x+1/3, -z+1/3', 'x-y+2/3, -y+1/3, -z+1/3', '-x+2/3, -x+y+1/3, -z+1/3', 'x+1/3, y+2/3, z+2/3', '-y+1/3, x-y+2/3, z+2/3', '-x+y+1/3, -x+2/3, z+2/3', 'y+1/3, x+2/3, -z+2/3', 'x-y+1/3, -y+2/3, -z+2/3', '-x+1/3, -x+y+2/3, -z+2/3'], ['x, 0, 1/2', '0, x, 1/2', '-x, -x, 1/2', 'x+2/3, 1/3, 5/6', '2/3, x+1/3, 5/6', '-x+2/3, -x+1/3, 5/6', 'x+1/3, 2/3, 7/6', '1/3, x+2/3, 7/6', '-x+1/3, -x+2/3, 7/6'], ['x, 0, 0', '0, x, 0', '-x, -x, 0', 'x+2/3, 1/3, 1/3', '2/3, x+1/3, 1/3', '-x+2/3, -x+1/3, 1/3', 'x+1/3, 2/3, 2/3', '1/3, x+2/3, 2/3', '-x+1/3, -x+2/3, 2/3'], ['0, 0, z', '0, 0, -z', '2/3, 1/3, z+1/3', '2/3, 1/3, -z+1/3', '1/3, 2/3, z+2/3', '1/3, 2/3, -z+2/3'], ['0, 0, 1/2', '2/3, 1/3, 5/6', '1/3, 2/3, 7/6'], ['0, 0, 0', '2/3, 1/3, 1/3', '1/3, 2/3, 2/3']]\"\n156,\"[['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-y, -x, z', '-x+y, y, z', 'x, x-y, z'], ['x, -x, z', 'x, 2x, z', '-2x, -x, z'], ['2/3, 1/3, z'], ['1/3, 2/3, z'], ['0, 0, z']]\"\n157,\"[['x, y, z', '-y, x-y, z', '-x+y, -x, z', 'y, x, z', 'x-y, -y, z', '-x, -x+y, z'], ['x, 0, z', '0, x, z', '-x, -x, z'], ['1/3, 2/3, z', '2/3, 1/3, z'], ['0, 0, z']]\"\n158,\"[['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-y, -x, z+1/2', '-x+y, y, z+1/2', 'x, x-y, z+1/2'], ['2/3, 1/3, z', '2/3, 1/3, z+1/2'], ['1/3, 2/3, z', '1/3, 2/3, z+1/2'], ['0, 0, z', '0, 0, z+1/2']]\"\n159,\"[['x, y, z', '-y, x-y, z', '-x+y, -x, z', 'y, x, z+1/2', 'x-y, -y, z+1/2', '-x, -x+y, z+1/2'], ['1/3, 2/3, z', '2/3, 1/3, z+1/2'], ['0, 0, z', '0, 0, z+1/2']]\"\n160,\"[['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-y, -x, z', '-x+y, y, z', 'x, x-y, z', 'x+2/3, y+1/3, z+1/3', '-y+2/3, x-y+1/3, z+1/3', '-x+y+2/3, -x+1/3, z+1/3', '-y+2/3, -x+1/3, z+1/3', '-x+y+2/3, y+1/3, z+1/3', 'x+2/3, x-y+1/3, z+1/3', 'x+1/3, y+2/3, z+2/3', '-y+1/3, x-y+2/3, z+2/3', '-x+y+1/3, -x+2/3, z+2/3', '-y+1/3, -x+2/3, z+2/3', '-x+y+1/3, y+2/3, z+2/3', 'x+1/3, x-y+2/3, z+2/3'], ['x, -x, z', 'x, 2x, z', '-2x, -x, z', 'x+2/3, -x+1/3, z+1/3', 'x+2/3, 2x+1/3, z+1/3', '-2x+2/3, -x+1/3, z+1/3', 'x+1/3, -x+2/3, z+2/3', 'x+1/3, 2x+2/3, z+2/3', '-2x+1/3, -x+2/3, z+2/3'], ['0, 0, z', '2/3, 1/3, z+1/3', '1/3, 2/3, z+2/3']]\"\n161,\"[['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-y, -x, z+1/2', '-x+y, y, z+1/2', 'x, x-y, z+1/2', 'x+2/3, y+1/3, z+1/3', '-y+2/3, x-y+1/3, z+1/3', '-x+y+2/3, -x+1/3, z+1/3', '-y+2/3, -x+1/3, z+5/6', '-x+y+2/3, y+1/3, z+5/6', 'x+2/3, x-y+1/3, z+5/6', 'x+1/3, y+2/3, z+2/3', '-y+1/3, x-y+2/3, z+2/3', '-x+y+1/3, -x+2/3, z+2/3', '-y+1/3, -x+2/3, z+7/6', '-x+y+1/3, y+2/3, z+7/6', 'x+1/3, x-y+2/3, z+7/6'], ['0, 0, z', '0, 0, z+1/2', '2/3, 1/3, z+1/3', '2/3, 1/3, z+5/6', '1/3, 2/3, z+2/3', '1/3, 2/3, z+7/6']]\"\n162,\"[['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-y, -x, -z', '-x+y, y, -z', 'x, x-y, -z', '-x, -y, -z', 'y, -x+y, -z', 'x-y, x, -z', 'y, x, z', 'x-y, -y, z', '-x, -x+y, z'], ['x, 0, z', '0, x, z', '-x, -x, z', '0, -x, -z', '-x, 0, -z', 'x, x, -z'], ['x, -x, 1/2', 'x, 2x, 1/2', '-2x, -x, 1/2', '-x, x, 1/2', '-x, -2x, 1/2', '2x, x, 1/2'], ['x, -x, 0', 'x, 2x, 0', '-2x, -x, 0', '-x, x, 0', '-x, -2x, 0', '2x, x, 0'], ['1/3, 2/3, z', '1/3, 2/3, -z', '2/3, 1/3, -z', '2/3, 1/3, z'], ['1/2, 0, 1/2', '0, 1/2, 1/2', '1/2, 1/2, 1/2'], ['1/2, 0, 0', '0, 1/2, 0', '1/2, 1/2, 0'], ['0, 0, z', '0, 0, -z'], ['1/3, 2/3, 1/2', '2/3, 1/3, 1/2'], ['1/3, 2/3, 0', '2/3, 1/3, 0'], ['0, 0, 1/2'], ['0, 0, 0']]\"\n163,\"[['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-y, -x, -z+1/2', '-x+y, y, -z+1/2', 'x, x-y, -z+1/2', '-x, -y, -z', 'y, -x+y, -z', 'x-y, x, -z', 'y, x, z+1/2', 'x-y, -y, z+1/2', '-x, -x+y, z+1/2'], ['x, -x, 1/4', 'x, 2x, 1/4', '-2x, -x, 1/4', '-x, x, 3/4', '-x, -2x, 3/4', '2x, x, 3/4'], ['1/2, 0, 0', '0, 1/2, 0', '1/2, 1/2, 0', '0, 1/2, 1/2', '1/2, 0, 1/2', '1/2, 1/2, 1/2'], ['1/3, 2/3, z', '1/3, 2/3, -z+1/2', '2/3, 1/3, -z', '2/3, 1/3, z+1/2'], ['0, 0, z', '0, 0, -z+1/2', '0, 0, -z', '0, 0, z+1/2'], ['2/3, 1/3, 1/4', '1/3, 2/3, 3/4'], ['1/3, 2/3, 1/4', '2/3, 1/3, 3/4'], ['0, 0, 0', '0, 0, 1/2'], ['0, 0, 1/4', '0, 0, 3/4']]\"\n164,\"[['x, y, z', '-y, x-y, z', '-x+y, -x, z', 'y, x, -z', 'x-y, -y, -z', '-x, -x+y, -z', '-x, -y, -z', 'y, -x+y, -z', 'x-y, x, -z', '-y, -x, z', '-x+y, y, z', 'x, x-y, z'], ['x, -x, z', 'x, 2x, z', '-2x, -x, z', '-x, x, -z', '2x, x, -z', '-x, -2x, -z'], ['x, 0, 1/2', '0, x, 1/2', '-x, -x, 1/2', '-x, 0, 1/2', '0, -x, 1/2', 'x, x, 1/2'], ['x, 0, 0', '0, x, 0', '-x, -x, 0', '-x, 0, 0', '0, -x, 0', 'x, x, 0'], ['1/2, 0, 1/2', '0, 1/2, 1/2', '1/2, 1/2, 1/2'], ['1/2, 0, 0', '0, 1/2, 0', '1/2, 1/2, 0'], ['1/3, 2/3, z', '2/3, 1/3, -z'], ['0, 0, z', '0, 0, -z'], ['0, 0, 1/2'], ['0, 0, 0']]\"\n165,\"[['x, y, z', '-y, x-y, z', '-x+y, -x, z', 'y, x, -z+1/2', 'x-y, -y, -z+1/2', '-x, -x+y, -z+1/2', '-x, -y, -z', 'y, -x+y, -z', 'x-y, x, -z', '-y, -x, z+1/2', '-x+y, y, z+1/2', 'x, x-y, z+1/2'], ['x, 0, 1/4', '0, x, 1/4', '-x, -x, 1/4', '-x, 0, 3/4', '0, -x, 3/4', 'x, x, 3/4'], ['1/2, 0, 0', '0, 1/2, 0', '1/2, 1/2, 0', '0, 1/2, 1/2', '1/2, 0, 1/2', '1/2, 1/2, 1/2'], ['1/3, 2/3, z', '2/3, 1/3, -z+1/2', '2/3, 1/3, -z', '1/3, 2/3, z+1/2'], ['0, 0, z', '0, 0, -z+1/2', '0, 0, -z', '0, 0, z+1/2'], ['0, 0, 0', '0, 0, 1/2'], ['0, 0, 1/4', '0, 0, 3/4']]\"\n166,\"[['x, y, z', '-y, x-y, z', '-x+y, -x, z', 'y, x, -z', 'x-y, -y, -z', '-x, -x+y, -z', '-x, -y, -z', 'y, -x+y, -z', 'x-y, x, -z', '-y, -x, z', '-x+y, y, z', 'x, x-y, z', 'x+2/3, y+1/3, z+1/3', '-y+2/3, x-y+1/3, z+1/3', '-x+y+2/3, -x+1/3, z+1/3', 'y+2/3, x+1/3, -z+1/3', 'x-y+2/3, -y+1/3, -z+1/3', '-x+2/3, -x+y+1/3, -z+1/3', '-x+2/3, -y+1/3, -z+1/3', 'y+2/3, -x+y+1/3, -z+1/3', 'x-y+2/3, x+1/3, -z+1/3', '-y+2/3, -x+1/3, z+1/3', '-x+y+2/3, y+1/3, z+1/3', 'x+2/3, x-y+1/3, z+1/3', 'x+1/3, y+2/3, z+2/3', '-y+1/3, x-y+2/3, z+2/3', '-x+y+1/3, -x+2/3, z+2/3', 'y+1/3, x+2/3, -z+2/3', 'x-y+1/3, -y+2/3, -z+2/3', '-x+1/3, -x+y+2/3, -z+2/3', '-x+1/3, -y+2/3, -z+2/3', 'y+1/3, -x+y+2/3, -z+2/3', 'x-y+1/3, x+2/3, -z+2/3', '-y+1/3, -x+2/3, z+2/3', '-x+y+1/3, y+2/3, z+2/3', 'x+1/3, x-y+2/3, z+2/3'], ['x, -x, z', 'x, 2x, z', '-2x, -x, z', '-x, x, -z', '2x, x, -z', '-x, -2x, -z', 'x+2/3, -x+1/3, z+1/3', 'x+2/3, 2x+1/3, z+1/3', '-2x+2/3, -x+1/3, z+1/3', '-x+2/3, x+1/3, -z+1/3', '2x+2/3, x+1/3, -z+1/3', '-x+2/3, -2x+1/3, -z+1/3', 'x+1/3, -x+2/3, z+2/3', 'x+1/3, 2x+2/3, z+2/3', '-2x+1/3, -x+2/3, z+2/3', '-x+1/3, x+2/3, -z+2/3', '2x+1/3, x+2/3, -z+2/3', '-x+1/3, -2x+2/3, -z+2/3'], ['x, 0, 1/2', '0, x, 1/2', '-x, -x, 1/2', '-x, 0, 1/2', '0, -x, 1/2', 'x, x, 1/2', 'x+2/3, 1/3, 5/6', '2/3, x+1/3, 5/6', '-x+2/3, -x+1/3, 5/6', '-x+2/3, 1/3, 5/6', '2/3, -x+1/3, 5/6', 'x+2/3, x+1/3, 5/6', 'x+1/3, 2/3, 7/6', '1/3, x+2/3, 7/6', '-x+1/3, -x+2/3, 7/6', '-x+1/3, 2/3, 7/6', '1/3, -x+2/3, 7/6', 'x+1/3, x+2/3, 7/6'], ['x, 0, 0', '0, x, 0', '-x, -x, 0', '-x, 0, 0', '0, -x, 0', 'x, x, 0', 'x+2/3, 1/3, 1/3', '2/3, x+1/3, 1/3', '-x+2/3, -x+1/3, 1/3', '-x+2/3, 1/3, 1/3', '2/3, -x+1/3, 1/3', 'x+2/3, x+1/3, 1/3', 'x+1/3, 2/3, 2/3', '1/3, x+2/3, 2/3', '-x+1/3, -x+2/3, 2/3', '-x+1/3, 2/3, 2/3', '1/3, -x+2/3, 2/3', 'x+1/3, x+2/3, 2/3'], ['1/2, 0, 0', '0, 1/2, 0', '1/2, 1/2, 0', '7/6, 1/3, 1/3', '2/3, 5/6, 1/3', '7/6, 5/6, 1/3', '5/6, 2/3, 2/3', '1/3, 7/6, 2/3', '5/6, 7/6, 2/3'], ['1/2, 0, 1/2', '0, 1/2, 1/2', '1/2, 1/2, 1/2', '7/6, 1/3, 5/6', '2/3, 5/6, 5/6', '7/6, 5/6, 5/6', '5/6, 2/3, 7/6', '1/3, 7/6, 7/6', '5/6, 7/6, 7/6'], ['0, 0, z', '0, 0, -z', '2/3, 1/3, z+1/3', '2/3, 1/3, -z+1/3', '1/3, 2/3, z+2/3', '1/3, 2/3, -z+2/3'], ['0, 0, 1/2', '2/3, 1/3, 5/6', '1/3, 2/3, 7/6'], ['0, 0, 0', '2/3, 1/3, 1/3', '1/3, 2/3, 2/3']]\"\n167,\"[['x, y, z', '-y, x-y, z', '-x+y, -x, z', 'y, x, -z+1/2', 'x-y, -y, -z+1/2', '-x, -x+y, -z+1/2', '-x, -y, -z', 'y, -x+y, -z', 'x-y, x, -z', '-y, -x, z+1/2', '-x+y, y, z+1/2', 'x, x-y, z+1/2', 'x+2/3, y+1/3, z+1/3', '-y+2/3, x-y+1/3, z+1/3', '-x+y+2/3, -x+1/3, z+1/3', 'y+2/3, x+1/3, -z+5/6', 'x-y+2/3, -y+1/3, -z+5/6', '-x+2/3, -x+y+1/3, -z+5/6', '-x+2/3, -y+1/3, -z+1/3', 'y+2/3, -x+y+1/3, -z+1/3', 'x-y+2/3, x+1/3, -z+1/3', '-y+2/3, -x+1/3, z+5/6', '-x+y+2/3, y+1/3, z+5/6', 'x+2/3, x-y+1/3, z+5/6', 'x+1/3, y+2/3, z+2/3', '-y+1/3, x-y+2/3, z+2/3', '-x+y+1/3, -x+2/3, z+2/3', 'y+1/3, x+2/3, -z+7/6', 'x-y+1/3, -y+2/3, -z+7/6', '-x+1/3, -x+y+2/3, -z+7/6', '-x+1/3, -y+2/3, -z+2/3', 'y+1/3, -x+y+2/3, -z+2/3', 'x-y+1/3, x+2/3, -z+2/3', '-y+1/3, -x+2/3, z+7/6', '-x+y+1/3, y+2/3, z+7/6', 'x+1/3, x-y+2/3, z+7/6'], ['x, 0, 1/4', '0, x, 1/4', '-x, -x, 1/4', '-x, 0, 3/4', '0, -x, 3/4', 'x, x, 3/4', 'x+2/3, 1/3, 7/12', '2/3, x+1/3, 7/12', '-x+2/3, -x+1/3, 7/12', '-x+2/3, 1/3, 13/12', '2/3, -x+1/3, 13/12', 'x+2/3, x+1/3, 13/12', 'x+1/3, 2/3, 11/12', '1/3, x+2/3, 11/12', '-x+1/3, -x+2/3, 11/12', '-x+1/3, 2/3, 17/12', '1/3, -x+2/3, 17/12', 'x+1/3, x+2/3, 17/12'], ['1/2, 0, 0', '0, 1/2, 0', '1/2, 1/2, 0', '0, 1/2, 1/2', '1/2, 0, 1/2', '1/2, 1/2, 1/2', '7/6, 1/3, 1/3', '2/3, 5/6, 1/3', '7/6, 5/6, 1/3', '2/3, 5/6, 5/6', '7/6, 1/3, 5/6', '7/6, 5/6, 5/6', '5/6, 2/3, 2/3', '1/3, 7/6, 2/3', '5/6, 7/6, 2/3', '1/3, 7/6, 7/6', '5/6, 2/3, 7/6', '5/6, 7/6, 7/6'], ['0, 0, z', '0, 0, -z+1/2', '0, 0, -z', '0, 0, z+1/2', '2/3, 1/3, z+1/3', '2/3, 1/3, -z+5/6', '2/3, 1/3, -z+1/3', '2/3, 1/3, z+5/6', '1/3, 2/3, z+2/3', '1/3, 2/3, -z+7/6', '1/3, 2/3, -z+2/3', '1/3, 2/3, z+7/6'], ['0, 0, 0', '0, 0, 1/2', '2/3, 1/3, 1/3', '2/3, 1/3, 5/6', '1/3, 2/3, 2/3', '1/3, 2/3, 7/6'], ['0, 0, 1/4', '0, 0, 3/4', '2/3, 1/3, 7/12', '2/3, 1/3, 13/12', '1/3, 2/3, 11/12', '1/3, 2/3, 17/12']]\"\n168,\"[['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, z', 'y, -x+y, z', 'x-y, x, z'], ['1/2, 0, z', '0, 1/2, z', '1/2, 1/2, z'], ['1/3, 2/3, z', '2/3, 1/3, z'], ['0, 0, z']]\"\n169,\"[['x, y, z', '-y, x-y, z+1/3', '-x+y, -x, z+2/3', '-x, -y, z+1/2', 'y, -x+y, z+5/6', 'x-y, x, z+1/6']]\"\n170,\"[['x, y, z', '-y, x-y, z+2/3', '-x+y, -x, z+1/3', '-x, -y, z+1/2', 'y, -x+y, z+1/6', 'x-y, x, z+5/6']]\"\n171,\"[['x, y, z', '-y, x-y, z+2/3', '-x+y, -x, z+1/3', '-x, -y, z', 'y, -x+y, z+2/3', 'x-y, x, z+1/3'], ['1/2, 1/2, z', '1/2, 0, z+2/3', '0, 1/2, z+1/3'], ['0, 0, z', '0, 0, z+2/3', '0, 0, z+1/3']]\"\n172,\"[['x, y, z', '-y, x-y, z+1/3', '-x+y, -x, z+2/3', '-x, -y, z', 'y, -x+y, z+1/3', 'x-y, x, z+2/3'], ['1/2, 1/2, z', '1/2, 0, z+1/3', '0, 1/2, z+2/3'], ['0, 0, z', '0, 0, z+1/3', '0, 0, z+2/3']]\"\n173,\"[['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, z+1/2', 'y, -x+y, z+1/2', 'x-y, x, z+1/2'], ['1/3, 2/3, z', '2/3, 1/3, z+1/2'], ['0, 0, z', '0, 0, z+1/2']]\"\n174,\"[['x, y, z', '-y, x-y, z', '-x+y, -x, z', 'x, y, -z', '-y, x-y, -z', '-x+y, -x, -z'], ['x, y, 1/2', '-y, x-y, 1/2', '-x+y, -x, 1/2'], ['x, y, 0', '-y, x-y, 0', '-x+y, -x, 0'], ['2/3, 1/3, z', '2/3, 1/3, -z'], ['1/3, 2/3, z', '1/3, 2/3, -z'], ['0, 0, z', '0, 0, -z'], ['2/3, 1/3, 1/2'], ['2/3, 1/3, 0'], ['1/3, 2/3, 1/2'], ['1/3, 2/3, 0'], ['0, 0, 1/2'], ['0, 0, 0']]\"\n175,\"[['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, z', 'y, -x+y, z', 'x-y, x, z', '-x, -y, -z', 'y, -x+y, -z', 'x-y, x, -z', 'x, y, -z', '-y, x-y, -z', '-x+y, -x, -z'], ['x, y, 1/2', '-y, x-y, 1/2', '-x+y, -x, 1/2', '-x, -y, 1/2', 'y, -x+y, 1/2', 'x-y, x, 1/2'], ['x, y, 0', '-y, x-y, 0', '-x+y, -x, 0', '-x, -y, 0', 'y, -x+y, 0', 'x-y, x, 0'], ['1/2, 0, z', '0, 1/2, z', '1/2, 1/2, z', '1/2, 0, -z', '0, 1/2, -z', '1/2, 1/2, -z'], ['1/3, 2/3, z', '2/3, 1/3, z', '2/3, 1/3, -z', '1/3, 2/3, -z'], ['1/2, 0, 1/2', '0, 1/2, 1/2', '1/2, 1/2, 1/2'], ['1/2, 0, 0', '0, 1/2, 0', '1/2, 1/2, 0'], ['0, 0, z', '0, 0, -z'], ['1/3, 2/3, 1/2', '2/3, 1/3, 1/2'], ['1/3, 2/3, 0', '2/3, 1/3, 0'], ['0, 0, 1/2'], ['0, 0, 0']]\"\n176,\"[['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, z+1/2', 'y, -x+y, z+1/2', 'x-y, x, z+1/2', '-x, -y, -z', 'y, -x+y, -z', 'x-y, x, -z', 'x, y, -z+1/2', '-y, x-y, -z+1/2', '-x+y, -x, -z+1/2'], ['x, y, 1/4', '-y, x-y, 1/4', '-x+y, -x, 1/4', '-x, -y, 3/4', 'y, -x+y, 3/4', 'x-y, x, 3/4'], ['1/2, 0, 0', '0, 1/2, 0', '1/2, 1/2, 0', '1/2, 0, 1/2', '0, 1/2, 1/2', '1/2, 1/2, 1/2'], ['1/3, 2/3, z', '2/3, 1/3, z+1/2', '2/3, 1/3, -z', '1/3, 2/3, -z+1/2'], ['0, 0, z', '0, 0, z+1/2', '0, 0, -z', '0, 0, -z+1/2'], ['2/3, 1/3, 1/4', '1/3, 2/3, 3/4'], ['1/3, 2/3, 1/4', '2/3, 1/3, 3/4'], ['0, 0, 0', '0, 0, 1/2'], ['0, 0, 1/4', '0, 0, 3/4']]\"\n177,\"[['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, z', 'y, -x+y, z', 'x-y, x, z', 'y, x, -z', 'x-y, -y, -z', '-x, -x+y, -z', '-y, -x, -z', '-x+y, y, -z', 'x, x-y, -z'], ['x, -x, 1/2', 'x, 2x, 1/2', '-2x, -x, 1/2', '-x, x, 1/2', '-x, -2x, 1/2', '2x, x, 1/2'], ['x, -x, 0', 'x, 2x, 0', '-2x, -x, 0', '-x, x, 0', '-x, -2x, 0', '2x, x, 0'], ['x, 0, 1/2', '0, x, 1/2', '-x, -x, 1/2', '-x, 0, 1/2', '0, -x, 1/2', 'x, x, 1/2'], ['x, 0, 0', '0, x, 0', '-x, -x, 0', '-x, 0, 0', '0, -x, 0', 'x, x, 0'], ['1/2, 0, z', '0, 1/2, z', '1/2, 1/2, z', '0, 1/2, -z', '1/2, 0, -z', '1/2, 1/2, -z'], ['1/3, 2/3, z', '2/3, 1/3, z', '2/3, 1/3, -z', '1/3, 2/3, -z'], ['1/2, 0, 1/2', '0, 1/2, 1/2', '1/2, 1/2, 1/2'], ['1/2, 0, 0', '0, 1/2, 0', '1/2, 1/2, 0'], ['0, 0, z', '0, 0, -z'], ['1/3, 2/3, 1/2', '2/3, 1/3, 1/2'], ['1/3, 2/3, 0', '2/3, 1/3, 0'], ['0, 0, 1/2'], ['0, 0, 0']]\"\n178,\"[['x, y, z', '-y, x-y, z+1/3', '-x+y, -x, z+2/3', '-x, -y, z+1/2', 'y, -x+y, z+5/6', 'x-y, x, z+1/6', 'y, x, -z+1/3', 'x-y, -y, -z', '-x, -x+y, -z+2/3', '-y, -x, -z+5/6', '-x+y, y, -z+1/2', 'x, x-y, -z+1/6'], ['x, 2x, 1/4', '-2x, -x, 7/12', 'x, -x, 11/12', '-x, -2x, 3/4', '2x, x, 1/12', '-x, x, 5/12'], ['x, 0, 0', '0, x, 1/3', '-x, -x, 2/3', '-x, 0, 1/2', '0, -x, 5/6', 'x, x, 1/6']]\"\n179,\"[['x, y, z', '-y, x-y, z+2/3', '-x+y, -x, z+1/3', '-x, -y, z+1/2', 'y, -x+y, z+1/6', 'x-y, x, z+5/6', 'y, x, -z+2/3', 'x-y, -y, -z', '-x, -x+y, -z+1/3', '-y, -x, -z+1/6', '-x+y, y, -z+1/2', 'x, x-y, -z+5/6'], ['x, 2x, 3/4', '-2x, -x, 5/12', 'x, -x, 1/12', '-x, -2x, 1/4', '2x, x, 11/12', '-x, x, 7/12'], ['x, 0, 0', '0, x, 2/3', '-x, -x, 1/3', '-x, 0, 1/2', '0, -x, 1/6', 'x, x, 5/6']]\"\n180,\"[['x, y, z', '-y, x-y, z+2/3', '-x+y, -x, z+1/3', '-x, -y, z', 'y, -x+y, z+2/3', 'x-y, x, z+1/3', 'y, x, -z+2/3', 'x-y, -y, -z', '-x, -x+y, -z+1/3', '-y, -x, -z+2/3', '-x+y, y, -z', 'x, x-y, -z+1/3'], ['x, 2x, 1/2', '-2x, -x, 1/6', 'x, -x, 5/6', '-x, -2x, 1/2', '2x, x, 1/6', '-x, x, 5/6'], ['x, 2x, 0', '-2x, -x, 2/3', 'x, -x, 1/3', '-x, -2x, 0', '2x, x, 2/3', '-x, x, 1/3'], ['x, 0, 1/2', '0, x, 1/6', '-x, -x, 5/6', '-x, 0, 1/2', '0, -x, 1/6', 'x, x, 5/6'], ['x, 0, 0', '0, x, 2/3', '-x, -x, 1/3', '-x, 0, 0', '0, -x, 2/3', 'x, x, 1/3'], ['1/2, 0, z', '0, 1/2, z+2/3', '1/2, 1/2, z+1/3', '0, 1/2, -z+2/3', '1/2, 0, -z', '1/2, 1/2, -z+1/3'], ['0, 0, z', '0, 0, z+2/3', '0, 0, z+1/3', '0, 0, -z+2/3', '0, 0, -z', '0, 0, -z+1/3'], ['1/2, 0, 1/2', '0, 1/2, 1/6', '1/2, 1/2, 5/6'], ['1/2, 0, 0', '0, 1/2, 2/3', '1/2, 1/2, 1/3'], ['0, 0, 1/2', '0, 0, 1/6', '0, 0, 5/6'], ['0, 0, 0', '0, 0, 2/3', '0, 0, 1/3']]\"\n181,\"[['x, y, z', '-y, x-y, z+1/3', '-x+y, -x, z+2/3', '-x, -y, z', 'y, -x+y, z+1/3', 'x-y, x, z+2/3', 'y, x, -z+1/3', 'x-y, -y, -z', '-x, -x+y, -z+2/3', '-y, -x, -z+1/3', '-x+y, y, -z', 'x, x-y, -z+2/3'], ['x, 2x, 1/2', '-2x, -x, 5/6', 'x, -x, 1/6', '-x, -2x, 1/2', '2x, x, 5/6', '-x, x, 1/6'], ['x, 2x, 0', '-2x, -x, 1/3', 'x, -x, 2/3', '-x, -2x, 0', '2x, x, 1/3', '-x, x, 2/3'], ['x, 0, 1/2', '0, x, 5/6', '-x, -x, 1/6', '-x, 0, 1/2', '0, -x, 5/6', 'x, x, 1/6'], ['x, 0, 0', '0, x, 1/3', '-x, -x, 2/3', '-x, 0, 0', '0, -x, 1/3', 'x, x, 2/3'], ['1/2, 0, z', '0, 1/2, z+1/3', '1/2, 1/2, z+2/3', '0, 1/2, -z+1/3', '1/2, 0, -z', '1/2, 1/2, -z+2/3'], ['0, 0, z', '0, 0, z+1/3', '0, 0, z+2/3', '0, 0, -z+1/3', '0, 0, -z', '0, 0, -z+2/3'], ['1/2, 0, 1/2', '0, 1/2, 5/6', '1/2, 1/2, 1/6'], ['1/2, 0, 0', '0, 1/2, 1/3', '1/2, 1/2, 2/3'], ['0, 0, 1/2', '0, 0, 5/6', '0, 0, 1/6'], ['0, 0, 0', '0, 0, 1/3', '0, 0, 2/3']]\"\n182,\"[['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, z+1/2', 'y, -x+y, z+1/2', 'x-y, x, z+1/2', 'y, x, -z', 'x-y, -y, -z', '-x, -x+y, -z', '-y, -x, -z+1/2', '-x+y, y, -z+1/2', 'x, x-y, -z+1/2'], ['x, 2x, 1/4', '-2x, -x, 1/4', 'x, -x, 1/4', '-x, -2x, 3/4', '2x, x, 3/4', '-x, x, 3/4'], ['x, 0, 0', '0, x, 0', '-x, -x, 0', '-x, 0, 1/2', '0, -x, 1/2', 'x, x, 1/2'], ['1/3, 2/3, z', '2/3, 1/3, z+1/2', '2/3, 1/3, -z', '1/3, 2/3, -z+1/2'], ['0, 0, z', '0, 0, z+1/2', '0, 0, -z', '0, 0, -z+1/2'], ['1/3, 2/3, 3/4', '2/3, 1/3, 1/4'], ['1/3, 2/3, 1/4', '2/3, 1/3, 3/4'], ['0, 0, 1/4', '0, 0, 3/4'], ['0, 0, 0', '0, 0, 1/2']]\"\n183,\"[['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, z', 'y, -x+y, z', 'x-y, x, z', '-y, -x, z', '-x+y, y, z', 'x, x-y, z', 'y, x, z', 'x-y, -y, z', '-x, -x+y, z'], ['x, -x, z', 'x, 2x, z', '-2x, -x, z', '-x, x, z', '-x, -2x, z', '2x, x, z'], ['x, 0, z', '0, x, z', '-x, -x, z', '-x, 0, z', '0, -x, z', 'x, x, z'], ['1/2, 0, z', '0, 1/2, z', '1/2, 1/2, z'], ['1/3, 2/3, z', '2/3, 1/3, z'], ['0, 0, z']]\"\n184,\"[['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, z', 'y, -x+y, z', 'x-y, x, z', '-y, -x, z+1/2', '-x+y, y, z+1/2', 'x, x-y, z+1/2', 'y, x, z+1/2', 'x-y, -y, z+1/2', '-x, -x+y, z+1/2'], ['1/2, 0, z', '0, 1/2, z', '1/2, 1/2, z', '0, 1/2, z+1/2', '1/2, 0, z+1/2', '1/2, 1/2, z+1/2'], ['1/3, 2/3, z', '2/3, 1/3, z', '1/3, 2/3, z+1/2', '2/3, 1/3, z+1/2'], ['0, 0, z', '0, 0, z+1/2']]\"\n185,\"[['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, z+1/2', 'y, -x+y, z+1/2', 'x-y, x, z+1/2', '-y, -x, z+1/2', '-x+y, y, z+1/2', 'x, x-y, z+1/2', 'y, x, z', 'x-y, -y, z', '-x, -x+y, z'], ['x, 0, z', '0, x, z', '-x, -x, z', '-x, 0, z+1/2', '0, -x, z+1/2', 'x, x, z+1/2'], ['1/3, 2/3, z', '2/3, 1/3, z+1/2', '1/3, 2/3, z+1/2', '2/3, 1/3, z'], ['0, 0, z', '0, 0, z+1/2']]\"\n186,\"[['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, z+1/2', 'y, -x+y, z+1/2', 'x-y, x, z+1/2', '-y, -x, z', '-x+y, y, z', 'x, x-y, z', 'y, x, z+1/2', 'x-y, -y, z+1/2', '-x, -x+y, z+1/2'], ['x, -x, z', 'x, 2x, z', '-2x, -x, z', '-x, x, z+1/2', '-x, -2x, z+1/2', '2x, x, z+1/2'], ['1/3, 2/3, z', '2/3, 1/3, z+1/2'], ['0, 0, z', '0, 0, z+1/2']]\"\n187,\"[['x, y, z', '-y, x-y, z', '-x+y, -x, z', 'x, y, -z', '-y, x-y, -z', '-x+y, -x, -z', '-y, -x, z', '-x+y, y, z', 'x, x-y, z', '-y, -x, -z', '-x+y, y, -z', 'x, x-y, -z'], ['x, -x, z', 'x, 2x, z', '-2x, -x, z', 'x, -x, -z', 'x, 2x, -z', '-2x, -x, -z'], ['x, y, 1/2', '-y, x-y, 1/2', '-x+y, -x, 1/2', '-y, -x, 1/2', '-x+y, y, 1/2', 'x, x-y, 1/2'], ['x, y, 0', '-y, x-y, 0', '-x+y, -x, 0', '-y, -x, 0', '-x+y, y, 0', 'x, x-y, 0'], ['x, -x, 1/2', 'x, 2x, 1/2', '-2x, -x, 1/2'], ['x, -x, 0', 'x, 2x, 0', '-2x, -x, 0'], ['2/3, 1/3, z', '2/3, 1/3, -z'], ['1/3, 2/3, z', '1/3, 2/3, -z'], ['0, 0, z', '0, 0, -z'], ['2/3, 1/3, 1/2'], ['2/3, 1/3, 0'], ['1/3, 2/3, 1/2'], ['1/3, 2/3, 0'], ['0, 0, 1/2'], ['0, 0, 0']]\"\n188,\"[['x, y, z', '-y, x-y, z', '-x+y, -x, z', 'x, y, -z+1/2', '-y, x-y, -z+1/2', '-x+y, -x, -z+1/2', '-y, -x, z+1/2', '-x+y, y, z+1/2', 'x, x-y, z+1/2', '-y, -x, -z', '-x+y, y, -z', 'x, x-y, -z'], ['x, y, 1/4', '-y, x-y, 1/4', '-x+y, -x, 1/4', '-y, -x, 3/4', '-x+y, y, 3/4', 'x, x-y, 3/4'], ['x, -x, 0', 'x, 2x, 0', '-2x, -x, 0', 'x, -x, 1/2', 'x, 2x, 1/2', '-2x, -x, 1/2'], ['2/3, 1/3, z', '2/3, 1/3, -z+1/2', '2/3, 1/3, z+1/2', '2/3, 1/3, -z'], ['1/3, 2/3, z', '1/3, 2/3, -z+1/2', '1/3, 2/3, z+1/2', '1/3, 2/3, -z'], ['0, 0, z', '0, 0, -z+1/2', '0, 0, z+1/2', '0, 0, -z'], ['2/3, 1/3, 1/4', '2/3, 1/3, 3/4'], ['2/3, 1/3, 0', '2/3, 1/3, 1/2'], ['1/3, 2/3, 1/4', '1/3, 2/3, 3/4'], ['1/3, 2/3, 0', '1/3, 2/3, 1/2'], ['0, 0, 1/4', '0, 0, 3/4'], ['0, 0, 0', '0, 0, 1/2']]\"\n189,\"[['x, y, z', '-y, x-y, z', '-x+y, -x, z', 'x, y, -z', '-y, x-y, -z', '-x+y, -x, -z', 'y, x, -z', 'x-y, -y, -z', '-x, -x+y, -z', 'y, x, z', 'x-y, -y, z', '-x, -x+y, z'], ['x, y, 1/2', '-y, x-y, 1/2', '-x+y, -x, 1/2', 'y, x, 1/2', 'x-y, -y, 1/2', '-x, -x+y, 1/2'], ['x, y, 0', '-y, x-y, 0', '-x+y, -x, 0', 'y, x, 0', 'x-y, -y, 0', '-x, -x+y, 0'], ['x, 0, z', '0, x, z', '-x, -x, z', 'x, 0, -z', '0, x, -z', '-x, -x, -z'], ['1/3, 2/3, z', '1/3, 2/3, -z', '2/3, 1/3, -z', '2/3, 1/3, z'], ['x, 0, 1/2', '0, x, 1/2', '-x, -x, 1/2'], ['x, 0, 0', '0, x, 0', '-x, -x, 0'], ['0, 0, z', '0, 0, -z'], ['1/3, 2/3, 1/2', '2/3, 1/3, 1/2'], ['1/3, 2/3, 0', '2/3, 1/3, 0'], ['0, 0, 1/2'], ['0, 0, 0']]\"\n190,\"[['x, y, z', '-y, x-y, z', '-x+y, -x, z', 'x, y, -z+1/2', '-y, x-y, -z+1/2', '-x+y, -x, -z+1/2', 'y, x, -z', 'x-y, -y, -z', '-x, -x+y, -z', 'y, x, z+1/2', 'x-y, -y, z+1/2', '-x, -x+y, z+1/2'], ['x, y, 1/4', '-y, x-y, 1/4', '-x+y, -x, 1/4', 'y, x, 3/4', 'x-y, -y, 3/4', '-x, -x+y, 3/4'], ['x, 0, 0', '0, x, 0', '-x, -x, 0', 'x, 0, 1/2', '0, x, 1/2', '-x, -x, 1/2'], ['1/3, 2/3, z', '1/3, 2/3, -z+1/2', '2/3, 1/3, -z', '2/3, 1/3, z+1/2'], ['0, 0, z', '0, 0, -z+1/2', '0, 0, -z', '0, 0, z+1/2'], ['2/3, 1/3, 1/4', '1/3, 2/3, 3/4'], ['1/3, 2/3, 1/4', '2/3, 1/3, 3/4'], ['0, 0, 1/4', '0, 0, 3/4'], ['0, 0, 0', '0, 0, 1/2']]\"\n191,\"[['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, z', 'y, -x+y, z', 'x-y, x, z', 'y, x, -z', 'x-y, -y, -z', '-x, -x+y, -z', '-y, -x, -z', '-x+y, y, -z', 'x, x-y, -z', '-x, -y, -z', 'y, -x+y, -z', 'x-y, x, -z', 'x, y, -z', '-y, x-y, -z', '-x+y, -x, -z', '-y, -x, z', '-x+y, y, z', 'x, x-y, z', 'y, x, z', 'x-y, -y, z', '-x, -x+y, z'], ['x, y, 1/2', '-y, x-y, 1/2', '-x+y, -x, 1/2', '-x, -y, 1/2', 'y, -x+y, 1/2', 'x-y, x, 1/2', 'y, x, 1/2', 'x-y, -y, 1/2', '-x, -x+y, 1/2', '-y, -x, 1/2', '-x+y, y, 1/2', 'x, x-y, 1/2'], ['x, y, 0', '-y, x-y, 0', '-x+y, -x, 0', '-x, -y, 0', 'y, -x+y, 0', 'x-y, x, 0', 'y, x, 0', 'x-y, -y, 0', '-x, -x+y, 0', '-y, -x, 0', '-x+y, y, 0', 'x, x-y, 0'], ['x, 2x, z', '-2x, -x, z', 'x, -x, z', '-x, -2x, z', '2x, x, z', '-x, x, z', '2x, x, -z', '-x, -2x, -z', '-x, x, -z', '-2x, -x, -z', 'x, 2x, -z', 'x, -x, -z'], ['x, 0, z', '0, x, z', '-x, -x, z', '-x, 0, z', '0, -x, z', 'x, x, z', '0, x, -z', 'x, 0, -z', '-x, -x, -z', '0, -x, -z', '-x, 0, -z', 'x, x, -z'], ['x, 2x, 1/2', '-2x, -x, 1/2', 'x, -x, 1/2', '-x, -2x, 1/2', '2x, x, 1/2', '-x, x, 1/2'], ['x, 2x, 0', '-2x, -x, 0', 'x, -x, 0', '-x, -2x, 0', '2x, x, 0', '-x, x, 0'], ['x, 0, 1/2', '0, x, 1/2', '-x, -x, 1/2', '-x, 0, 1/2', '0, -x, 1/2', 'x, x, 1/2'], ['x, 0, 0', '0, x, 0', '-x, -x, 0', '-x, 0, 0', '0, -x, 0', 'x, x, 0'], ['1/2, 0, z', '0, 1/2, z', '1/2, 1/2, z', '0, 1/2, -z', '1/2, 0, -z', '1/2, 1/2, -z'], ['1/3, 2/3, z', '2/3, 1/3, z', '2/3, 1/3, -z', '1/3, 2/3, -z'], ['1/2, 0, 1/2', '0, 1/2, 1/2', '1/2, 1/2, 1/2'], ['1/2, 0, 0', '0, 1/2, 0', '1/2, 1/2, 0'], ['0, 0, z', '0, 0, -z'], ['1/3, 2/3, 1/2', '2/3, 1/3, 1/2'], ['1/3, 2/3, 0', '2/3, 1/3, 0'], ['0, 0, 1/2'], ['0, 0, 0']]\"\n192,\"[['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, z', 'y, -x+y, z', 'x-y, x, z', 'y, x, -z+1/2', 'x-y, -y, -z+1/2', '-x, -x+y, -z+1/2', '-y, -x, -z+1/2', '-x+y, y, -z+1/2', 'x, x-y, -z+1/2', '-x, -y, -z', 'y, -x+y, -z', 'x-y, x, -z', 'x, y, -z', '-y, x-y, -z', '-x+y, -x, -z', '-y, -x, z+1/2', '-x+y, y, z+1/2', 'x, x-y, z+1/2', 'y, x, z+1/2', 'x-y, -y, z+1/2', '-x, -x+y, z+1/2'], ['x, y, 0', '-y, x-y, 0', '-x+y, -x, 0', '-x, -y, 0', 'y, -x+y, 0', 'x-y, x, 0', 'y, x, 1/2', 'x-y, -y, 1/2', '-x, -x+y, 1/2', '-y, -x, 1/2', '-x+y, y, 1/2', 'x, x-y, 1/2'], ['x, 2x, 1/4', '-2x, -x, 1/4', 'x, -x, 1/4', '-x, -2x, 1/4', '2x, x, 1/4', '-x, x, 1/4', '-x, -2x, 3/4', '2x, x, 3/4', '-x, x, 3/4', 'x, 2x, 3/4', '-2x, -x, 3/4', 'x, -x, 3/4'], ['x, 0, 1/4', '0, x, 1/4', '-x, -x, 1/4', '-x, 0, 1/4', '0, -x, 1/4', 'x, x, 1/4', '-x, 0, 3/4', '0, -x, 3/4', 'x, x, 3/4', 'x, 0, 3/4', '0, x, 3/4', '-x, -x, 3/4'], ['1/2, 0, z', '0, 1/2, z', '1/2, 1/2, z', '0, 1/2, -z+1/2', '1/2, 0, -z+1/2', '1/2, 1/2, -z+1/2', '1/2, 0, -z', '0, 1/2, -z', '1/2, 1/2, -z', '0, 1/2, z+1/2', '1/2, 0, z+1/2', '1/2, 1/2, z+1/2'], ['1/3, 2/3, z', '2/3, 1/3, z', '2/3, 1/3, -z+1/2', '1/3, 2/3, -z+1/2', '2/3, 1/3, -z', '1/3, 2/3, -z', '1/3, 2/3, z+1/2', '2/3, 1/3, z+1/2'], ['1/2, 0, 0', '0, 1/2, 0', '1/2, 1/2, 0', '0, 1/2, 1/2', '1/2, 0, 1/2', '1/2, 1/2, 1/2'], ['1/2, 0, 1/4', '0, 1/2, 1/4', '1/2, 1/2, 1/4', '1/2, 0, 3/4', '0, 1/2, 3/4', '1/2, 1/2, 3/4'], ['0, 0, z', '0, 0, -z+1/2', '0, 0, -z', '0, 0, z+1/2'], ['1/3, 2/3, 0', '2/3, 1/3, 0', '2/3, 1/3, 1/2', '1/3, 2/3, 1/2'], ['1/3, 2/3, 1/4', '2/3, 1/3, 1/4', '2/3, 1/3, 3/4', '1/3, 2/3, 3/4'], ['0, 0, 0', '0, 0, 1/2'], ['0, 0, 1/4', '0, 0, 3/4']]\"\n193,\"[['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, z+1/2', 'y, -x+y, z+1/2', 'x-y, x, z+1/2', 'y, x, -z+1/2', 'x-y, -y, -z+1/2', '-x, -x+y, -z+1/2', '-y, -x, -z', '-x+y, y, -z', 'x, x-y, -z', '-x, -y, -z', 'y, -x+y, -z', 'x-y, x, -z', 'x, y, -z+1/2', '-y, x-y, -z+1/2', '-x+y, -x, -z+1/2', '-y, -x, z+1/2', '-x+y, y, z+1/2', 'x, x-y, z+1/2', 'y, x, z', 'x-y, -y, z', '-x, -x+y, z'], ['x, 0, z', '0, x, z', '-x, -x, z', '-x, 0, z+1/2', '0, -x, z+1/2', 'x, x, z+1/2', '0, x, -z+1/2', 'x, 0, -z+1/2', '-x, -x, -z+1/2', '0, -x, -z', '-x, 0, -z', 'x, x, -z'], ['x, y, 1/4', '-y, x-y, 1/4', '-x+y, -x, 1/4', '-x, -y, 3/4', 'y, -x+y, 3/4', 'x-y, x, 3/4', 'y, x, 1/4', 'x-y, -y, 1/4', '-x, -x+y, 1/4', '-y, -x, 3/4', '-x+y, y, 3/4', 'x, x-y, 3/4'], ['x, 2x, 0', '-2x, -x, 0', 'x, -x, 0', '-x, -2x, 1/2', '2x, x, 1/2', '-x, x, 1/2', '-x, -2x, 0', '2x, x, 0', '-x, x, 0', 'x, 2x, 1/2', '-2x, -x, 1/2', 'x, -x, 1/2'], ['1/3, 2/3, z', '2/3, 1/3, z+1/2', '2/3, 1/3, -z+1/2', '1/3, 2/3, -z', '2/3, 1/3, -z', '1/3, 2/3, -z+1/2', '1/3, 2/3, z+1/2', '2/3, 1/3, z'], ['x, 0, 1/4', '0, x, 1/4', '-x, -x, 1/4', '-x, 0, 3/4', '0, -x, 3/4', 'x, x, 3/4'], ['1/2, 0, 0', '0, 1/2, 0', '1/2, 1/2, 0', '1/2, 0, 1/2', '0, 1/2, 1/2', '1/2, 1/2, 1/2'], ['0, 0, z', '0, 0, z+1/2', '0, 0, -z+1/2', '0, 0, -z'], ['1/3, 2/3, 0', '2/3, 1/3, 1/2', '2/3, 1/3, 0', '1/3, 2/3, 1/2'], ['1/3, 2/3, 1/4', '2/3, 1/3, 3/4', '2/3, 1/3, 1/4', '1/3, 2/3, 3/4'], ['0, 0, 0', '0, 0, 1/2'], ['0, 0, 1/4', '0, 0, 3/4']]\"\n194,\"[['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, z+1/2', 'y, -x+y, z+1/2', 'x-y, x, z+1/2', 'y, x, -z', 'x-y, -y, -z', '-x, -x+y, -z', '-y, -x, -z+1/2', '-x+y, y, -z+1/2', 'x, x-y, -z+1/2', '-x, -y, -z', 'y, -x+y, -z', 'x-y, x, -z', 'x, y, -z+1/2', '-y, x-y, -z+1/2', '-x+y, -x, -z+1/2', '-y, -x, z', '-x+y, y, z', 'x, x-y, z', 'y, x, z+1/2', 'x-y, -y, z+1/2', '-x, -x+y, z+1/2'], ['x, 2x, z', '-2x, -x, z', 'x, -x, z', '-x, -2x, z+1/2', '2x, x, z+1/2', '-x, x, z+1/2', '2x, x, -z', '-x, -2x, -z', '-x, x, -z', '-2x, -x, -z+1/2', 'x, 2x, -z+1/2', 'x, -x, -z+1/2'], ['x, y, 1/4', '-y, x-y, 1/4', '-x+y, -x, 1/4', '-x, -y, 3/4', 'y, -x+y, 3/4', 'x-y, x, 3/4', 'y, x, 3/4', 'x-y, -y, 3/4', '-x, -x+y, 3/4', '-y, -x, 1/4', '-x+y, y, 1/4', 'x, x-y, 1/4'], ['x, 0, 0', '0, x, 0', '-x, -x, 0', '-x, 0, 1/2', '0, -x, 1/2', 'x, x, 1/2', '-x, 0, 0', '0, -x, 0', 'x, x, 0', 'x, 0, 1/2', '0, x, 1/2', '-x, -x, 1/2'], ['x, 2x, 1/4', '-2x, -x, 1/4', 'x, -x, 1/4', '-x, -2x, 3/4', '2x, x, 3/4', '-x, x, 3/4'], ['1/2, 0, 0', '0, 1/2, 0', '1/2, 1/2, 0', '1/2, 0, 1/2', '0, 1/2, 1/2', '1/2, 1/2, 1/2'], ['1/3, 2/3, z', '2/3, 1/3, z+1/2', '2/3, 1/3, -z', '1/3, 2/3, -z+1/2'], ['0, 0, z', '0, 0, z+1/2', '0, 0, -z', '0, 0, -z+1/2'], ['1/3, 2/3, 3/4', '2/3, 1/3, 1/4'], ['1/3, 2/3, 1/4', '2/3, 1/3, 3/4'], ['0, 0, 1/4', '0, 0, 3/4'], ['0, 0, 0', '0, 0, 1/2']]\"\n195,\"[['x, y, z', '-x, -y, z', '-x, y, -z', 'x, -y, -z', 'z, x, y', 'z, -x, -y', '-z, -x, y', '-z, x, -y', 'y, z, x', '-y, z, -x', 'y, -z, -x', '-y, -z, x'], ['x, 1/2, 1/2', '-x, 1/2, 1/2', '1/2, x, 1/2', '1/2, -x, 1/2', '1/2, 1/2, x', '1/2, 1/2, -x'], ['x, 1/2, 0', '-x, 1/2, 0', '0, x, 1/2', '0, -x, 1/2', '1/2, 0, x', '1/2, 0, -x'], ['x, 0, 1/2', '-x, 0, 1/2', '1/2, x, 0', '1/2, -x, 0', '0, 1/2, x', '0, 1/2, -x'], ['x, 0, 0', '-x, 0, 0', '0, x, 0', '0, -x, 0', '0, 0, x', '0, 0, -x'], ['x, x, x', '-x, -x, x', '-x, x, -x', 'x, -x, -x'], ['1/2, 0, 0', '0, 1/2, 0', '0, 0, 1/2'], ['0, 1/2, 1/2', '1/2, 0, 1/2', '1/2, 1/2, 0'], ['1/2, 1/2, 1/2'], ['0, 0, 0']]\"\n196,\"[['x, y, z', '-x, -y, z', '-x, y, -z', 'x, -y, -z', 'z, x, y', 'z, -x, -y', '-z, -x, y', '-z, x, -y', 'y, z, x', '-y, z, -x', 'y, -z, -x', '-y, -z, x', 'x, y+1/2, z+1/2', '-x, -y+1/2, z+1/2', '-x, y+1/2, -z+1/2', 'x, -y+1/2, -z+1/2', 'z, x+1/2, y+1/2', 'z, -x+1/2, -y+1/2', '-z, -x+1/2, y+1/2', '-z, x+1/2, -y+1/2', 'y, z+1/2, x+1/2', '-y, z+1/2, -x+1/2', 'y, -z+1/2, -x+1/2', '-y, -z+1/2, x+1/2', 'x+1/2, y, z+1/2', '-x+1/2, -y, z+1/2', '-x+1/2, y, -z+1/2', 'x+1/2, -y, -z+1/2', 'z+1/2, x, y+1/2', 'z+1/2, -x, -y+1/2', '-z+1/2, -x, y+1/2', '-z+1/2, x, -y+1/2', 'y+1/2, z, x+1/2', '-y+1/2, z, -x+1/2', 'y+1/2, -z, -x+1/2', '-y+1/2, -z, x+1/2', 'x+1/2, y+1/2, z', '-x+1/2, -y+1/2, z', '-x+1/2, y+1/2, -z', 'x+1/2, -y+1/2, -z', 'z+1/2, x+1/2, y', 'z+1/2, -x+1/2, -y', '-z+1/2, -x+1/2, y', '-z+1/2, x+1/2, -y', 'y+1/2, z+1/2, x', '-y+1/2, z+1/2, -x', 'y+1/2, -z+1/2, -x', '-y+1/2, -z+1/2, x'], ['x, 1/4, 1/4', '-x, 3/4, 1/4', '1/4, x, 1/4', '1/4, -x, 3/4', '1/4, 1/4, x', '3/4, 1/4, -x', 'x, 3/4, 3/4', '-x, 5/4, 3/4', '1/4, x+1/2, 3/4', '1/4, -x+1/2, 5/4', '1/4, 3/4, x+1/2', '3/4, 3/4, -x+1/2', 'x+1/2, 1/4, 3/4', '-x+1/2, 3/4, 3/4', '3/4, x, 3/4', '3/4, -x, 5/4', '3/4, 1/4, x+1/2', '5/4, 1/4, -x+1/2', 'x+1/2, 3/4, 1/4', '-x+1/2, 5/4, 1/4', '3/4, x+1/2, 1/4', '3/4, -x+1/2, 3/4', '3/4, 3/4, x', '5/4, 3/4, -x'], ['x, 0, 0', '-x, 0, 0', '0, x, 0', '0, -x, 0', '0, 0, x', '0, 0, -x', 'x, 1/2, 1/2', '-x, 1/2, 1/2', '0, x+1/2, 1/2', '0, -x+1/2, 1/2', '0, 1/2, x+1/2', '0, 1/2, -x+1/2', 'x+1/2, 0, 1/2', '-x+1/2, 0, 1/2', '1/2, x, 1/2', '1/2, -x, 1/2', '1/2, 0, x+1/2', '1/2, 0, -x+1/2', 'x+1/2, 1/2, 0', '-x+1/2, 1/2, 0', '1/2, x+1/2, 0', '1/2, -x+1/2, 0', '1/2, 1/2, x', '1/2, 1/2, -x'], ['x, x, x', '-x, -x, x', '-x, x, -x', 'x, -x, -x', 'x, x+1/2, x+1/2', '-x, -x+1/2, x+1/2', '-x, x+1/2, -x+1/2', 'x, -x+1/2, -x+1/2', 'x+1/2, x, x+1/2', '-x+1/2, -x, x+1/2', '-x+1/2, x, -x+1/2', 'x+1/2, -x, -x+1/2', 'x+1/2, x+1/2, x', '-x+1/2, -x+1/2, x', '-x+1/2, x+1/2, -x', 'x+1/2, -x+1/2, -x'], ['3/4, 3/4, 3/4', '3/4, 5/4, 5/4', '5/4, 3/4, 5/4', '5/4, 5/4, 3/4'], ['1/4, 1/4, 1/4', '1/4, 3/4, 3/4', '3/4, 1/4, 3/4', '3/4, 3/4, 1/4'], ['1/2, 1/2, 1/2', '1/2, 1, 1', '1, 1/2, 1', '1, 1, 1/2'], ['0, 0, 0', '0, 1/2, 1/2', '1/2, 0, 1/2', '1/2, 1/2, 0']]\"\n197,\"[['x, y, z', '-x, -y, z', '-x, y, -z', 'x, -y, -z', 'z, x, y', 'z, -x, -y', '-z, -x, y', '-z, x, -y', 'y, z, x', '-y, z, -x', 'y, -z, -x', '-y, -z, x', 'x+1/2, y+1/2, z+1/2', '-x+1/2, -y+1/2, z+1/2', '-x+1/2, y+1/2, -z+1/2', 'x+1/2, -y+1/2, -z+1/2', 'z+1/2, x+1/2, y+1/2', 'z+1/2, -x+1/2, -y+1/2', '-z+1/2, -x+1/2, y+1/2', '-z+1/2, x+1/2, -y+1/2', 'y+1/2, z+1/2, x+1/2', '-y+1/2, z+1/2, -x+1/2', 'y+1/2, -z+1/2, -x+1/2', '-y+1/2, -z+1/2, x+1/2'], ['x, 1/2, 0', '-x, 1/2, 0', '0, x, 1/2', '0, -x, 1/2', '1/2, 0, x', '1/2, 0, -x', 'x+1/2, 1, 1/2', '-x+1/2, 1, 1/2', '1/2, x+1/2, 1', '1/2, -x+1/2, 1', '1, 1/2, x+1/2', '1, 1/2, -x+1/2'], ['x, 0, 0', '-x, 0, 0', '0, x, 0', '0, -x, 0', '0, 0, x', '0, 0, -x', 'x+1/2, 1/2, 1/2', '-x+1/2, 1/2, 1/2', '1/2, x+1/2, 1/2', '1/2, -x+1/2, 1/2', '1/2, 1/2, x+1/2', '1/2, 1/2, -x+1/2'], ['x, x, x', '-x, -x, x', '-x, x, -x', 'x, -x, -x', 'x+1/2, x+1/2, x+1/2', '-x+1/2, -x+1/2, x+1/2', '-x+1/2, x+1/2, -x+1/2', 'x+1/2, -x+1/2, -x+1/2'], ['0, 1/2, 1/2', '1/2, 0, 1/2', '1/2, 1/2, 0', '1/2, 1, 1', '1, 1/2, 1', '1, 1, 1/2'], ['0, 0, 0', '1/2, 1/2, 1/2']]\"\n198,\"[['x, y, z', '-x+1/2, -y, z+1/2', '-x, y+1/2, -z+1/2', 'x+1/2, -y+1/2, -z', 'z, x, y', 'z+1/2, -x+1/2, -y', '-z+1/2, -x, y+1/2', '-z, x+1/2, -y+1/2', 'y, z, x', '-y, z+1/2, -x+1/2', 'y+1/2, -z+1/2, -x', '-y+1/2, -z, x+1/2'], ['x, x, x', '-x+1/2, -x, x+1/2', '-x, x+1/2, -x+1/2', 'x+1/2, -x+1/2, -x']]\"\n199,\"[['x, y, z', '-x+1/2, -y, z+1/2', '-x, y+1/2, -z+1/2', 'x+1/2, -y+1/2, -z', 'z, x, y', 'z+1/2, -x+1/2, -y', '-z+1/2, -x, y+1/2', '-z, x+1/2, -y+1/2', 'y, z, x', '-y, z+1/2, -x+1/2', 'y+1/2, -z+1/2, -x', '-y+1/2, -z, x+1/2', 'x+1/2, y+1/2, z+1/2', '-x+1, -y+1/2, z+1', '-x+1/2, y+1, -z+1', 'x+1, -y+1, -z+1/2', 'z+1/2, x+1/2, y+1/2', 'z+1, -x+1, -y+1/2', '-z+1, -x+1/2, y+1', '-z+1/2, x+1, -y+1', 'y+1/2, z+1/2, x+1/2', '-y+1/2, z+1, -x+1', 'y+1, -z+1, -x+1/2', '-y+1, -z+1/2, x+1'], ['x, 0, 1/4', '-x+1/2, 0, 3/4', '1/4, x, 0', '3/4, -x+1/2, 0', '0, 1/4, x', '0, 3/4, -x+1/2', 'x+1/2, 1/2, 3/4', '-x+1, 1/2, 5/4', '3/4, x+1/2, 1/2', '5/4, -x+1, 1/2', '1/2, 3/4, x+1/2', '1/2, 5/4, -x+1'], ['x, x, x', '-x+1/2, -x, x+1/2', '-x, x+1/2, -x+1/2', 'x+1/2, -x+1/2, -x', 'x+1/2, x+1/2, x+1/2', '-x+1, -x+1/2, x+1', '-x+1/2, x+1, -x+1', 'x+1, -x+1, -x+1/2']]\"\n200,\"[['x, y, z', '-x, -y, z', '-x, y, -z', 'x, -y, -z', 'z, x, y', 'z, -x, -y', '-z, -x, y', '-z, x, -y', 'y, z, x', '-y, z, -x', 'y, -z, -x', '-y, -z, x', '-x, -y, -z', 'x, y, -z', 'x, -y, z', '-x, y, z', '-z, -x, -y', '-z, x, y', 'z, x, -y', 'z, -x, y', '-y, -z, -x', 'y, -z, x', '-y, z, x', 'y, z, -x'], ['1/2, y, z', '1/2, -y, z', '1/2, y, -z', '1/2, -y, -z', 'z, 1/2, y', 'z, 1/2, -y', '-z, 1/2, y', '-z, 1/2, -y', 'y, z, 1/2', '-y, z, 1/2', 'y, -z, 1/2', '-y, -z, 1/2'], ['0, y, z', '0, -y, z', '0, y, -z', '0, -y, -z', 'z, 0, y', 'z, 0, -y', '-z, 0, y', '-z, 0, -y', 'y, z, 0', '-y, z, 0', 'y, -z, 0', '-y, -z, 0'], ['x, x, x', '-x, -x, x', '-x, x, -x', 'x, -x, -x', '-x, -x, -x', 'x, x, -x', 'x, -x, x', '-x, x, x'], ['x, 1/2, 1/2', '-x, 1/2, 1/2', '1/2, x, 1/2', '1/2, -x, 1/2', '1/2, 1/2, x', '1/2, 1/2, -x'], ['x, 1/2, 0', '-x, 1/2, 0', '0, x, 1/2', '0, -x, 1/2', '1/2, 0, x', '1/2, 0, -x'], ['x, 0, 1/2', '-x, 0, 1/2', '1/2, x, 0', '1/2, -x, 0', '0, 1/2, x', '0, 1/2, -x'], ['x, 0, 0', '-x, 0, 0', '0, x, 0', '0, -x, 0', '0, 0, x', '0, 0, -x'], ['1/2, 0, 0', '0, 1/2, 0', '0, 0, 1/2'], ['0, 1/2, 1/2', '1/2, 0, 1/2', '1/2, 1/2, 0'], ['1/2, 1/2, 1/2'], ['0, 0, 0']]\"\n201,\"[['x, y, z', '-x+1/2, -y+1/2, z', '-x+1/2, y, -z+1/2', 'x, -y+1/2, -z+1/2', 'z, x, y', 'z, -x+1/2, -y+1/2', '-z+1/2, -x+1/2, y', '-z+1/2, x, -y+1/2', 'y, z, x', '-y+1/2, z, -x+1/2', 'y, -z+1/2, -x+1/2', '-y+1/2, -z+1/2, x', '-x, -y, -z', 'x+1/2, y+1/2, -z', 'x+1/2, -y, z+1/2', '-x, y+1/2, z+1/2', '-z, -x, -y', '-z, x+1/2, y+1/2', 'z+1/2, x+1/2, -y', 'z+1/2, -x, y+1/2', '-y, -z, -x', 'y+1/2, -z, x+1/2', '-y, z+1/2, x+1/2', 'y+1/2, z+1/2, -x'], ['x, 3/4, 1/4', '-x+1/2, 3/4, 1/4', '1/4, x, 3/4', '1/4, -x+1/2, 3/4', '3/4, 1/4, x', '3/4, 1/4, -x+1/2', '-x, 1/4, 3/4', 'x+1/2, 1/4, 3/4', '3/4, -x, 1/4', '3/4, x+1/2, 1/4', '1/4, 3/4, -x', '1/4, 3/4, x+1/2'], ['x, 1/4, 1/4', '-x+1/2, 1/4, 1/4', '1/4, x, 1/4', '1/4, -x+1/2, 1/4', '1/4, 1/4, x', '1/4, 1/4, -x+1/2', '-x, 3/4, 3/4', 'x+1/2, 3/4, 3/4', '3/4, -x, 3/4', '3/4, x+1/2, 3/4', '3/4, 3/4, -x', '3/4, 3/4, x+1/2'], ['x, x, x', '-x+1/2, -x+1/2, x', '-x+1/2, x, -x+1/2', 'x, -x+1/2, -x+1/2', '-x, -x, -x', 'x+1/2, x+1/2, -x', 'x+1/2, -x, x+1/2', '-x, x+1/2, x+1/2'], ['1/4, 3/4, 3/4', '3/4, 1/4, 3/4', '3/4, 3/4, 1/4', '3/4, 1/4, 1/4', '1/4, 3/4, 1/4', '1/4, 1/4, 3/4'], ['1/2, 1/2, 1/2', '0, 0, 1/2', '0, 1/2, 0', '1/2, 0, 0'], ['0, 0, 0', '1/2, 1/2, 0', '1/2, 0, 1/2', '0, 1/2, 1/2'], ['1/4, 1/4, 1/4', '3/4, 3/4, 3/4']]\"\n202,\"[['x, y, z', '-x, -y, z', '-x, y, -z', 'x, -y, -z', 'z, x, y', 'z, -x, -y', '-z, -x, y', '-z, x, -y', 'y, z, x', '-y, z, -x', 'y, -z, -x', '-y, -z, x', '-x, -y, -z', 'x, y, -z', 'x, -y, z', '-x, y, z', '-z, -x, -y', '-z, x, y', 'z, x, -y', 'z, -x, y', '-y, -z, -x', 'y, -z, x', '-y, z, x', 'y, z, -x', 'x, y+1/2, z+1/2', '-x, -y+1/2, z+1/2', '-x, y+1/2, -z+1/2', 'x, -y+1/2, -z+1/2', 'z, x+1/2, y+1/2', 'z, -x+1/2, -y+1/2', '-z, -x+1/2, y+1/2', '-z, x+1/2, -y+1/2', 'y, z+1/2, x+1/2', '-y, z+1/2, -x+1/2', 'y, -z+1/2, -x+1/2', '-y, -z+1/2, x+1/2', '-x, -y+1/2, -z+1/2', 'x, y+1/2, -z+1/2', 'x, -y+1/2, z+1/2', '-x, y+1/2, z+1/2', '-z, -x+1/2, -y+1/2', '-z, x+1/2, y+1/2', 'z, x+1/2, -y+1/2', 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x+1/2, x+1/2', 'x+1/2, x, x+1/2', '-x+1/2, -x, x+1/2', '-x+1/2, x, -x+1/2', 'x+1/2, -x, -x+1/2', '-x+1/2, -x, -x+1/2', 'x+1/2, x, -x+1/2', 'x+1/2, -x, x+1/2', '-x+1/2, x, x+1/2', 'x+1/2, x+1/2, x', '-x+1/2, -x+1/2, x', '-x+1/2, x+1/2, -x', 'x+1/2, -x+1/2, -x', '-x+1/2, -x+1/2, -x', 'x+1/2, x+1/2, -x', 'x+1/2, -x+1/2, x', '-x+1/2, x+1/2, x'], ['x, 0, 0', '-x, 0, 0', '0, x, 0', '0, -x, 0', '0, 0, x', '0, 0, -x', 'x, 1/2, 1/2', '-x, 1/2, 1/2', '0, x+1/2, 1/2', '0, -x+1/2, 1/2', '0, 1/2, x+1/2', '0, 1/2, -x+1/2', 'x+1/2, 0, 1/2', '-x+1/2, 0, 1/2', '1/2, x, 1/2', '1/2, -x, 1/2', '1/2, 0, x+1/2', '1/2, 0, -x+1/2', 'x+1/2, 1/2, 0', '-x+1/2, 1/2, 0', '1/2, x+1/2, 0', '1/2, -x+1/2, 0', '1/2, 1/2, x', '1/2, 1/2, -x'], ['0, 1/4, 1/4', '0, 3/4, 1/4', '1/4, 0, 1/4', '1/4, 0, 3/4', '1/4, 1/4, 0', '3/4, 1/4, 0', '0, 3/4, 3/4', '0, 5/4, 3/4', '1/4, 1/2, 3/4', '1/4, 1/2, 5/4', '1/4, 3/4, 1/2', '3/4, 3/4, 1/2', '1/2, 1/4, 3/4', '1/2, 3/4, 3/4', '3/4, 0, 3/4', '3/4, 0, 5/4', '3/4, 1/4, 1/2', '5/4, 1/4, 1/2', '1/2, 3/4, 1/4', '1/2, 5/4, 1/4', '3/4, 1/2, 1/4', '3/4, 1/2, 3/4', '3/4, 3/4, 0', '5/4, 3/4, 0'], ['1/4, 1/4, 1/4', '3/4, 3/4, 3/4', '1/4, 3/4, 3/4', '3/4, 5/4, 5/4', '3/4, 1/4, 3/4', '5/4, 3/4, 5/4', '3/4, 3/4, 1/4', '5/4, 5/4, 3/4'], ['1/2, 1/2, 1/2', '1/2, 1, 1', '1, 1/2, 1', '1, 1, 1/2'], ['0, 0, 0', '0, 1/2, 1/2', '1/2, 0, 1/2', '1/2, 1/2, 0']]\"\n203,\"[['x, y, z', '-x+1/4, -y+1/4, z', '-x+1/4, y, -z+1/4', 'x, -y+1/4, -z+1/4', 'z, x, y', 'z, -x+1/4, -y+1/4', '-z+1/4, -x+1/4, y', '-z+1/4, x, -y+1/4', 'y, z, x', '-y+1/4, z, -x+1/4', 'y, -z+1/4, -x+1/4', '-y+1/4, -z+1/4, x', '-x, -y, -z', 'x+3/4, y+3/4, -z', 'x+3/4, -y, z+3/4', '-x, y+3/4, z+3/4', '-z, -x, -y', '-z, x+3/4, y+3/4', 'z+3/4, x+3/4, -y', 'z+3/4, -x, y+3/4', '-y, -z, -x', 'y+3/4, -z, x+3/4', '-y, z+3/4, x+3/4', 'y+3/4, z+3/4, -x', 'x, y+1/2, z+1/2', '-x+1/4, -y+3/4, z+1/2', '-x+1/4, y+1/2, -z+3/4', 'x, -y+3/4, -z+3/4', 'z, x+1/2, y+1/2', 'z, -x+3/4, -y+3/4', '-z+1/4, -x+3/4, y+1/2', '-z+1/4, x+1/2, -y+3/4', 'y, 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y', 'z+1/2, -x+3/4, -y+1/4', '-z+3/4, -x+3/4, y', '-z+3/4, x+1/2, -y+1/4', 'y+1/2, z+1/2, x', '-y+3/4, z+1/2, -x+1/4', 'y+1/2, -z+3/4, -x+1/4', '-y+3/4, -z+3/4, x', '-x+1/2, -y+1/2, -z', 'x+5/4, y+5/4, -z', 'x+5/4, -y+1/2, z+3/4', '-x+1/2, y+5/4, z+3/4', '-z+1/2, -x+1/2, -y', '-z+1/2, x+5/4, y+3/4', 'z+5/4, x+5/4, -y', 'z+5/4, -x+1/2, y+3/4', '-y+1/2, -z+1/2, -x', 'y+5/4, -z+1/2, x+3/4', '-y+1/2, z+5/4, x+3/4', 'y+5/4, z+5/4, -x'], ['x, 1/8, 1/8', '-x+1/4, 1/8, 1/8', '1/8, x, 1/8', '1/8, -x+1/4, 1/8', '1/8, 1/8, x', '1/8, 1/8, -x+1/4', '-x, 7/8, 7/8', 'x+3/4, 7/8, 7/8', '7/8, -x, 7/8', '7/8, x+3/4, 7/8', '7/8, 7/8, -x', '7/8, 7/8, x+3/4', 'x, 5/8, 5/8', '-x+1/4, 5/8, 5/8', '1/8, x+1/2, 5/8', '1/8, -x+3/4, 5/8', '1/8, 5/8, x+1/2', '1/8, 5/8, -x+3/4', '-x, 11/8, 11/8', 'x+3/4, 11/8, 11/8', '7/8, -x+1/2, 11/8', '7/8, x+5/4, 11/8', '7/8, 11/8, -x+1/2', '7/8, 11/8, x+5/4', 'x+1/2, 1/8, 5/8', '-x+3/4, 1/8, 5/8', '5/8, x, 5/8', '5/8, -x+1/4, 5/8', '5/8, 1/8, x+1/2', '5/8, 1/8, -x+3/4', '-x+1/2, 7/8, 11/8', 'x+5/4, 7/8, 11/8', '11/8, -x, 11/8', '11/8, x+3/4, 11/8', '11/8, 7/8, -x+1/2', '11/8, 7/8, x+5/4', 'x+1/2, 5/8, 1/8', '-x+3/4, 5/8, 1/8', '5/8, x+1/2, 1/8', '5/8, -x+3/4, 1/8', '5/8, 5/8, x', '5/8, 5/8, -x+1/4', '-x+1/2, 11/8, 7/8', 'x+5/4, 11/8, 7/8', '11/8, -x+1/2, 7/8', '11/8, x+5/4, 7/8', '11/8, 11/8, -x', '11/8, 11/8, x+3/4'], ['x, x, x', '-x+1/4, -x+1/4, x', '-x+1/4, x, -x+1/4', 'x, -x+1/4, -x+1/4', '-x, -x, -x', 'x+3/4, x+3/4, -x', 'x+3/4, -x, x+3/4', '-x, x+3/4, x+3/4', 'x, x+1/2, x+1/2', '-x+1/4, -x+3/4, x+1/2', '-x+1/4, x+1/2, -x+3/4', 'x, -x+3/4, -x+3/4', '-x, -x+1/2, -x+1/2', 'x+3/4, x+5/4, -x+1/2', 'x+3/4, -x+1/2, x+5/4', '-x, x+5/4, x+5/4', 'x+1/2, x, x+1/2', '-x+3/4, -x+1/4, x+1/2', '-x+3/4, x, -x+3/4', 'x+1/2, -x+1/4, -x+3/4', '-x+1/2, -x, -x+1/2', 'x+5/4, x+3/4, -x+1/2', 'x+5/4, -x, x+5/4', '-x+1/2, x+3/4, x+5/4', 'x+1/2, x+1/2, x', '-x+3/4, -x+3/4, x', '-x+3/4, x+1/2, -x+1/4', 'x+1/2, -x+3/4, -x+1/4', '-x+1/2, -x+1/2, -x', 'x+5/4, x+5/4, -x', 'x+5/4, -x+1/2, x+3/4', '-x+1/2, x+5/4, x+3/4'], ['1/2, 1/2, 1/2', '3/4, 3/4, 1/2', '3/4, 1/2, 3/4', '1/2, 3/4, 3/4', '1/2, 1, 1', '3/4, 5/4, 1', '3/4, 1, 5/4', '1/2, 5/4, 5/4', '1, 1/2, 1', '5/4, 3/4, 1', '5/4, 1/2, 5/4', '1, 3/4, 5/4', '1, 1, 1/2', '5/4, 5/4, 1/2', '5/4, 1, 3/4', '1, 5/4, 3/4'], ['0, 0, 0', '1/4, 1/4, 0', '1/4, 0, 1/4', '0, 1/4, 1/4', '0, 1/2, 1/2', '1/4, 3/4, 1/2', '1/4, 1/2, 3/4', '0, 3/4, 3/4', '1/2, 0, 1/2', '3/4, 1/4, 1/2', '3/4, 0, 3/4', '1/2, 1/4, 3/4', '1/2, 1/2, 0', '3/4, 3/4, 0', '3/4, 1/2, 1/4', '1/2, 3/4, 1/4'], ['5/8, 5/8, 5/8', '3/8, 3/8, 3/8', '5/8, 9/8, 9/8', '3/8, 7/8, 7/8', '9/8, 5/8, 9/8', '7/8, 3/8, 7/8', '9/8, 9/8, 5/8', '7/8, 7/8, 3/8'], ['1/8, 1/8, 1/8', '7/8, 7/8, 7/8', '1/8, 5/8, 5/8', '7/8, 11/8, 11/8', '5/8, 1/8, 5/8', '11/8, 7/8, 11/8', '5/8, 5/8, 1/8', '11/8, 11/8, 7/8']]\"\n204,\"[['x, y, z', '-x, -y, z', '-x, y, -z', 'x, -y, -z', 'z, x, y', 'z, -x, -y', '-z, -x, y', '-z, x, -y', 'y, z, x', '-y, z, -x', 'y, -z, -x', '-y, -z, x', '-x, -y, -z', 'x, y, -z', 'x, -y, z', '-x, y, z', '-z, -x, -y', '-z, x, y', 'z, x, -y', 'z, -x, y', '-y, -z, -x', 'y, -z, x', '-y, z, x', 'y, z, -x', 'x+1/2, y+1/2, z+1/2', '-x+1/2, -y+1/2, z+1/2', '-x+1/2, y+1/2, -z+1/2', 'x+1/2, -y+1/2, -z+1/2', 'z+1/2, x+1/2, y+1/2', 'z+1/2, -x+1/2, -y+1/2', '-z+1/2, -x+1/2, y+1/2', '-z+1/2, x+1/2, -y+1/2', 'y+1/2, z+1/2, x+1/2', '-y+1/2, z+1/2, -x+1/2', 'y+1/2, -z+1/2, -x+1/2', '-y+1/2, -z+1/2, x+1/2', '-x+1/2, -y+1/2, -z+1/2', 'x+1/2, y+1/2, -z+1/2', 'x+1/2, -y+1/2, z+1/2', '-x+1/2, y+1/2, z+1/2', '-z+1/2, -x+1/2, -y+1/2', '-z+1/2, x+1/2, y+1/2', 'z+1/2, x+1/2, -y+1/2', 'z+1/2, -x+1/2, y+1/2', '-y+1/2, -z+1/2, -x+1/2', 'y+1/2, -z+1/2, x+1/2', '-y+1/2, z+1/2, x+1/2', 'y+1/2, z+1/2, -x+1/2'], ['0, y, z', '0, -y, z', '0, y, -z', '0, -y, -z', 'z, 0, y', 'z, 0, -y', '-z, 0, y', '-z, 0, -y', 'y, z, 0', '-y, z, 0', 'y, -z, 0', '-y, -z, 0', '1/2, y+1/2, z+1/2', '1/2, -y+1/2, z+1/2', '1/2, y+1/2, -z+1/2', '1/2, -y+1/2, -z+1/2', 'z+1/2, 1/2, y+1/2', 'z+1/2, 1/2, -y+1/2', '-z+1/2, 1/2, y+1/2', '-z+1/2, 1/2, -y+1/2', 'y+1/2, z+1/2, 1/2', '-y+1/2, z+1/2, 1/2', 'y+1/2, -z+1/2, 1/2', '-y+1/2, -z+1/2, 1/2'], ['x, x, x', '-x, -x, x', '-x, x, -x', 'x, -x, -x', '-x, -x, -x', 'x, x, -x', 'x, -x, x', '-x, x, x', 'x+1/2, x+1/2, x+1/2', '-x+1/2, -x+1/2, x+1/2', '-x+1/2, x+1/2, -x+1/2', 'x+1/2, -x+1/2, -x+1/2', '-x+1/2, -x+1/2, -x+1/2', 'x+1/2, x+1/2, -x+1/2', 'x+1/2, -x+1/2, x+1/2', '-x+1/2, x+1/2, x+1/2'], ['x, 0, 1/2', '-x, 0, 1/2', '1/2, x, 0', '1/2, -x, 0', '0, 1/2, x', '0, 1/2, -x', 'x+1/2, 1/2, 1', '-x+1/2, 1/2, 1', '1, x+1/2, 1/2', '1, -x+1/2, 1/2', '1/2, 1, x+1/2', '1/2, 1, -x+1/2'], ['x, 0, 0', '-x, 0, 0', '0, x, 0', '0, -x, 0', '0, 0, x', '0, 0, -x', 'x+1/2, 1/2, 1/2', '-x+1/2, 1/2, 1/2', '1/2, x+1/2, 1/2', '1/2, -x+1/2, 1/2', '1/2, 1/2, x+1/2', '1/2, 1/2, -x+1/2'], ['1/4, 1/4, 1/4', '3/4, 3/4, 1/4', '3/4, 1/4, 3/4', '1/4, 3/4, 3/4', '3/4, 3/4, 3/4', '5/4, 5/4, 3/4', '5/4, 3/4, 5/4', '3/4, 5/4, 5/4'], ['0, 1/2, 1/2', '1/2, 0, 1/2', '1/2, 1/2, 0', '1/2, 1, 1', '1, 1/2, 1', '1, 1, 1/2'], ['0, 0, 0', '1/2, 1/2, 1/2']]\"\n205,\"[['x, y, z', '-x+1/2, -y, z+1/2', '-x, y+1/2, -z+1/2', 'x+1/2, -y+1/2, -z', 'z, x, y', 'z+1/2, -x+1/2, -y', '-z+1/2, -x, y+1/2', '-z, x+1/2, -y+1/2', 'y, z, x', '-y, z+1/2, -x+1/2', 'y+1/2, -z+1/2, -x', '-y+1/2, -z, x+1/2', '-x, -y, -z', 'x+1/2, y, -z+1/2', 'x, -y+1/2, z+1/2', '-x+1/2, y+1/2, z', '-z, -x, -y', '-z+1/2, x+1/2, y', 'z+1/2, x, -y+1/2', 'z, -x+1/2, y+1/2', '-y, -z, -x', 'y, -z+1/2, x+1/2', '-y+1/2, z+1/2, x', 'y+1/2, z, -x+1/2'], ['x, x, x', '-x+1/2, -x, x+1/2', '-x, x+1/2, -x+1/2', 'x+1/2, -x+1/2, -x', '-x, -x, -x', 'x+1/2, x, -x+1/2', 'x, -x+1/2, x+1/2', '-x+1/2, x+1/2, x'], ['1/2, 1/2, 1/2', '0, 1/2, 0', '1/2, 0, 0', '0, 0, 1/2'], ['0, 0, 0', '1/2, 0, 1/2', '0, 1/2, 1/2', '1/2, 1/2, 0']]\"\n206,\"[['x, y, z', '-x+1/2, -y, z+1/2', '-x, y+1/2, -z+1/2', 'x+1/2, -y+1/2, -z', 'z, x, y', 'z+1/2, -x+1/2, -y', '-z+1/2, -x, y+1/2', '-z, x+1/2, -y+1/2', 'y, z, x', '-y, z+1/2, -x+1/2', 'y+1/2, -z+1/2, -x', '-y+1/2, -z, x+1/2', '-x, -y, -z', 'x+1/2, y, -z+1/2', 'x, -y+1/2, z+1/2', '-x+1/2, y+1/2, z', '-z, -x, -y', '-z+1/2, x+1/2, y', 'z+1/2, x, -y+1/2', 'z, -x+1/2, y+1/2', '-y, -z, -x', 'y, -z+1/2, x+1/2', '-y+1/2, z+1/2, x', 'y+1/2, z, -x+1/2', 'x+1/2, y+1/2, z+1/2', '-x+1, -y+1/2, z+1', '-x+1/2, y+1, -z+1', 'x+1, -y+1, -z+1/2', 'z+1/2, x+1/2, y+1/2', 'z+1, -x+1, -y+1/2', '-z+1, -x+1/2, y+1', '-z+1/2, x+1, -y+1', 'y+1/2, z+1/2, x+1/2', '-y+1/2, z+1, -x+1', 'y+1, -z+1, -x+1/2', '-y+1, -z+1/2, x+1', '-x+1/2, -y+1/2, -z+1/2', 'x+1, y+1/2, -z+1', 'x+1/2, -y+1, z+1', '-x+1, y+1, z+1/2', '-z+1/2, -x+1/2, -y+1/2', '-z+1, x+1, y+1/2', 'z+1, x+1/2, -y+1', 'z+1/2, -x+1, y+1', '-y+1/2, -z+1/2, -x+1/2', 'y+1/2, -z+1, x+1', '-y+1, z+1, x+1/2', 'y+1, z+1/2, -x+1'], ['x, 0, 1/4', '-x+1/2, 0, 3/4', '1/4, x, 0', '3/4, -x+1/2, 0', '0, 1/4, x', '0, 3/4, -x+1/2', '-x, 0, 3/4', 'x+1/2, 0, 1/4', '3/4, -x, 0', '1/4, x+1/2, 0', '0, 3/4, -x', '0, 1/4, x+1/2', 'x+1/2, 1/2, 3/4', '-x+1, 1/2, 5/4', '3/4, x+1/2, 1/2', '5/4, -x+1, 1/2', '1/2, 3/4, x+1/2', '1/2, 5/4, -x+1', '-x+1/2, 1/2, 5/4', 'x+1, 1/2, 3/4', '5/4, -x+1/2, 1/2', '3/4, x+1, 1/2', '1/2, 5/4, -x+1/2', '1/2, 3/4, x+1'], ['x, x, x', '-x+1/2, -x, x+1/2', '-x, x+1/2, -x+1/2', 'x+1/2, -x+1/2, -x', '-x, -x, -x', 'x+1/2, x, -x+1/2', 'x, -x+1/2, x+1/2', '-x+1/2, x+1/2, x', 'x+1/2, x+1/2, x+1/2', '-x+1, -x+1/2, x+1', '-x+1/2, x+1, -x+1', 'x+1, -x+1, -x+1/2', '-x+1/2, -x+1/2, -x+1/2', 'x+1, x+1/2, -x+1', 'x+1/2, -x+1, x+1', '-x+1, x+1, x+1/2'], ['1/4, 1/4, 1/4', '1/4, 3/4, 3/4', '3/4, 3/4, 1/4', '3/4, 1/4, 3/4', '3/4, 3/4, 3/4', '3/4, 5/4, 5/4', '5/4, 5/4, 3/4', '5/4, 3/4, 5/4'], ['0, 0, 0', '1/2, 0, 1/2', '0, 1/2, 1/2', '1/2, 1/2, 0', '1/2, 1/2, 1/2', '1, 1/2, 1', '1/2, 1, 1', '1, 1, 1/2']]\"\n207,\"[['x, y, z', '-x, -y, z', '-x, y, -z', 'x, -y, -z', 'z, x, y', 'z, -x, -y', '-z, -x, y', '-z, x, -y', 'y, z, x', '-y, z, -x', 'y, -z, -x', '-y, -z, x', 'y, x, -z', '-y, -x, -z', 'y, -x, z', '-y, x, z', 'x, z, -y', '-x, z, y', '-x, -z, -y', 'x, -z, y', 'z, y, -x', 'z, -y, x', '-z, y, x', '-z, -y, -x'], ['1/2, y, y', '1/2, -y, y', '1/2, y, -y', '1/2, -y, -y', 'y, 1/2, y', 'y, 1/2, -y', '-y, 1/2, y', '-y, 1/2, -y', 'y, y, 1/2', '-y, y, 1/2', 'y, -y, 1/2', '-y, -y, 1/2'], ['0, y, y', '0, -y, y', '0, y, -y', '0, -y, -y', 'y, 0, y', 'y, 0, -y', '-y, 0, y', '-y, 0, -y', 'y, y, 0', '-y, y, 0', 'y, -y, 0', '-y, -y, 0'], ['x, 1/2, 0', '-x, 1/2, 0', '0, x, 1/2', '0, -x, 1/2', '1/2, 0, x', '1/2, 0, -x', '1/2, x, 0', '1/2, -x, 0', 'x, 0, 1/2', '-x, 0, 1/2', '0, 1/2, -x', '0, 1/2, x'], ['x, x, x', '-x, -x, x', '-x, x, -x', 'x, -x, -x', 'x, x, -x', '-x, -x, -x', 'x, -x, x', '-x, x, x'], ['x, 1/2, 1/2', '-x, 1/2, 1/2', '1/2, x, 1/2', '1/2, -x, 1/2', '1/2, 1/2, x', '1/2, 1/2, -x'], ['x, 0, 0', '-x, 0, 0', '0, x, 0', '0, -x, 0', '0, 0, x', '0, 0, -x'], ['1/2, 0, 0', '0, 1/2, 0', '0, 0, 1/2'], ['0, 1/2, 1/2', '1/2, 0, 1/2', '1/2, 1/2, 0'], ['1/2, 1/2, 1/2'], ['0, 0, 0']]\"\n208,\"[['x, y, z', '-x, -y, z', '-x, y, -z', 'x, -y, -z', 'z, x, y', 'z, -x, -y', '-z, -x, y', '-z, x, -y', 'y, z, x', '-y, z, -x', 'y, -z, -x', '-y, -z, x', 'y+1/2, x+1/2, -z+1/2', '-y+1/2, -x+1/2, -z+1/2', 'y+1/2, -x+1/2, z+1/2', '-y+1/2, x+1/2, z+1/2', 'x+1/2, z+1/2, -y+1/2', '-x+1/2, z+1/2, y+1/2', '-x+1/2, -z+1/2, -y+1/2', 'x+1/2, -z+1/2, y+1/2', 'z+1/2, y+1/2, -x+1/2', 'z+1/2, -y+1/2, x+1/2', '-z+1/2, y+1/2, x+1/2', '-z+1/2, -y+1/2, -x+1/2'], ['1/4, y, y+1/2', '3/4, -y, y+1/2', '3/4, y, -y+1/2', '1/4, -y, -y+1/2', 'y+1/2, 1/4, y', 'y+1/2, 3/4, -y', '-y+1/2, 3/4, y', '-y+1/2, 1/4, -y', 'y, y+1/2, 1/4', '-y, y+1/2, 3/4', 'y, -y+1/2, 3/4', '-y, -y+1/2, 1/4'], ['1/4, y, -y+1/2', '3/4, -y, -y+1/2', '3/4, y, y+1/2', '1/4, -y, y+1/2', '-y+1/2, 1/4, y', '-y+1/2, 3/4, -y', 'y+1/2, 3/4, y', 'y+1/2, 1/4, -y', 'y, -y+1/2, 1/4', '-y, -y+1/2, 3/4', 'y, y+1/2, 3/4', '-y, y+1/2, 1/4'], ['x, 1/2, 0', '-x, 1/2, 0', '0, x, 1/2', '0, -x, 1/2', '1/2, 0, x', '1/2, 0, -x', '0, x+1/2, 1/2', '0, -x+1/2, 1/2', 'x+1/2, 1/2, 0', '-x+1/2, 1/2, 0', '1/2, 0, -x+1/2', '1/2, 0, x+1/2'], ['x, 0, 1/2', '-x, 0, 1/2', '1/2, x, 0', '1/2, -x, 0', '0, 1/2, x', '0, 1/2, -x', '1/2, x+1/2, 0', '1/2, -x+1/2, 0', 'x+1/2, 0, 1/2', '-x+1/2, 0, 1/2', '0, 1/2, -x+1/2', '0, 1/2, x+1/2'], ['x, 0, 0', '-x, 0, 0', '0, x, 0', '0, -x, 0', '0, 0, x', '0, 0, -x', '1/2, x+1/2, 1/2', '1/2, -x+1/2, 1/2', 'x+1/2, 1/2, 1/2', '-x+1/2, 1/2, 1/2', '1/2, 1/2, -x+1/2', '1/2, 1/2, x+1/2'], ['x, x, x', '-x, -x, x', '-x, x, -x', 'x, -x, -x', 'x+1/2, x+1/2, -x+1/2', '-x+1/2, -x+1/2, -x+1/2', 'x+1/2, -x+1/2, x+1/2', '-x+1/2, x+1/2, x+1/2'], ['1/4, 1/2, 0', '3/4, 1/2, 0', '0, 1/4, 1/2', '0, 3/4, 1/2', '1/2, 0, 1/4', '1/2, 0, 3/4'], ['1/4, 0, 1/2', '3/4, 0, 1/2', '1/2, 1/4, 0', '1/2, 3/4, 0', '0, 1/2, 1/4', '0, 1/2, 3/4'], ['0, 1/2, 1/2', '1/2, 0, 1/2', '1/2, 1/2, 0', '0, 1/2, 0', '1/2, 0, 0', '0, 0, 1/2'], ['3/4, 3/4, 3/4', '1/4, 1/4, 3/4', '1/4, 3/4, 1/4', '3/4, 1/4, 1/4'], ['1/4, 1/4, 1/4', '3/4, 3/4, 1/4', '3/4, 1/4, 3/4', '1/4, 3/4, 3/4'], ['0, 0, 0', '1/2, 1/2, 1/2']]\"\n209,\"[['x, y, z', '-x, -y, z', '-x, y, -z', 'x, -y, -z', 'z, x, y', 'z, -x, -y', '-z, -x, y', '-z, x, -y', 'y, z, x', '-y, z, -x', 'y, -z, -x', '-y, -z, x', 'y, x, -z', '-y, -x, -z', 'y, -x, z', '-y, x, z', 'x, z, -y', '-x, z, y', '-x, -z, -y', 'x, -z, y', 'z, y, -x', 'z, -y, x', '-z, y, x', '-z, -y, -x', 'x, y+1/2, z+1/2', '-x, -y+1/2, z+1/2', '-x, y+1/2, -z+1/2', 'x, -y+1/2, -z+1/2', 'z, x+1/2, y+1/2', 'z, -x+1/2, -y+1/2', '-z, -x+1/2, y+1/2', '-z, x+1/2, -y+1/2', 'y, z+1/2, x+1/2', '-y, z+1/2, -x+1/2', 'y, -z+1/2, -x+1/2', '-y, -z+1/2, x+1/2', 'y, x+1/2, -z+1/2', '-y, -x+1/2, -z+1/2', 'y, -x+1/2, z+1/2', '-y, x+1/2, z+1/2', 'x, z+1/2, -y+1/2', '-x, z+1/2, y+1/2', '-x, -z+1/2, -y+1/2', 'x, -z+1/2, y+1/2', 'z, y+1/2, -x+1/2', 'z, -y+1/2, x+1/2', '-z, y+1/2, x+1/2', '-z, -y+1/2, -x+1/2', 'x+1/2, y, z+1/2', '-x+1/2, -y, z+1/2', '-x+1/2, y, -z+1/2', 'x+1/2, -y, -z+1/2', 'z+1/2, x, y+1/2', 'z+1/2, -x, -y+1/2', '-z+1/2, -x, y+1/2', '-z+1/2, x, -y+1/2', 'y+1/2, z, x+1/2', '-y+1/2, z, -x+1/2', 'y+1/2, -z, -x+1/2', '-y+1/2, -z, x+1/2', 'y+1/2, x, -z+1/2', '-y+1/2, -x, -z+1/2', 'y+1/2, -x, z+1/2', '-y+1/2, x, z+1/2', 'x+1/2, z, -y+1/2', '-x+1/2, z, y+1/2', '-x+1/2, -z, -y+1/2', 'x+1/2, -z, y+1/2', 'z+1/2, y, -x+1/2', 'z+1/2, -y, x+1/2', '-z+1/2, y, x+1/2', '-z+1/2, -y, -x+1/2', 'x+1/2, y+1/2, z', '-x+1/2, -y+1/2, z', '-x+1/2, y+1/2, -z', 'x+1/2, -y+1/2, -z', 'z+1/2, x+1/2, y', 'z+1/2, -x+1/2, -y', '-z+1/2, -x+1/2, y', '-z+1/2, x+1/2, -y', 'y+1/2, z+1/2, x', '-y+1/2, z+1/2, -x', 'y+1/2, -z+1/2, -x', '-y+1/2, -z+1/2, x', 'y+1/2, x+1/2, -z', '-y+1/2, -x+1/2, -z', 'y+1/2, -x+1/2, z', '-y+1/2, x+1/2, z', 'x+1/2, z+1/2, -y', '-x+1/2, z+1/2, y', '-x+1/2, -z+1/2, -y', 'x+1/2, -z+1/2, y', 'z+1/2, y+1/2, -x', 'z+1/2, -y+1/2, x', '-z+1/2, y+1/2, x', '-z+1/2, -y+1/2, -x'], ['x, 1/4, 1/4', '-x, 3/4, 1/4', '1/4, x, 1/4', '1/4, -x, 3/4', '1/4, 1/4, x', '3/4, 1/4, -x', '1/4, x, 3/4', '3/4, -x, 3/4', 'x, 1/4, 3/4', '-x, 1/4, 1/4', '1/4, 1/4, -x', '1/4, 3/4, x', 'x, 3/4, 3/4', '-x, 5/4, 3/4', '1/4, 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1', '1, y, y+1/2', '1, -y, y+1/2', '1, y, -y+1/2', '1, -y, -y+1/2', 'y+1/2, 1/2, y+1/2', 'y+1/2, 1/2, -y+1/2', '-y+1/2, 1/2, y+1/2', '-y+1/2, 1/2, -y+1/2', 'y+1/2, y, 1', '-y+1/2, y, 1', 'y+1/2, -y, 1', '-y+1/2, -y, 1', '1, y+1/2, y', '1, -y+1/2, y', '1, y+1/2, -y', '1, -y+1/2, -y', 'y+1/2, 1, y', 'y+1/2, 1, -y', '-y+1/2, 1, y', '-y+1/2, 1, -y', 'y+1/2, y+1/2, 1/2', '-y+1/2, y+1/2, 1/2', 'y+1/2, -y+1/2, 1/2', '-y+1/2, -y+1/2, 1/2'], ['0, y, y', '0, -y, y', '0, y, -y', '0, -y, -y', 'y, 0, y', 'y, 0, -y', '-y, 0, y', '-y, 0, -y', 'y, y, 0', '-y, y, 0', 'y, -y, 0', '-y, -y, 0', '0, y+1/2, y+1/2', '0, -y+1/2, y+1/2', '0, y+1/2, -y+1/2', '0, -y+1/2, -y+1/2', 'y, 1/2, y+1/2', 'y, 1/2, -y+1/2', '-y, 1/2, y+1/2', '-y, 1/2, -y+1/2', 'y, y+1/2, 1/2', '-y, y+1/2, 1/2', 'y, -y+1/2, 1/2', '-y, -y+1/2, 1/2', '1/2, y, y+1/2', '1/2, -y, y+1/2', '1/2, y, -y+1/2', '1/2, -y, -y+1/2', 'y+1/2, 0, y+1/2', 'y+1/2, 0, -y+1/2', '-y+1/2, 0, y+1/2', '-y+1/2, 0, -y+1/2', 'y+1/2, y, 1/2', '-y+1/2, y, 1/2', 'y+1/2, -y, 1/2', '-y+1/2, -y, 1/2', '1/2, y+1/2, y', '1/2, -y+1/2, y', '1/2, y+1/2, -y', '1/2, -y+1/2, -y', 'y+1/2, 1/2, y', 'y+1/2, 1/2, -y', '-y+1/2, 1/2, y', '-y+1/2, 1/2, -y', 'y+1/2, y+1/2, 0', '-y+1/2, y+1/2, 0', 'y+1/2, -y+1/2, 0', '-y+1/2, -y+1/2, 0'], ['x, x, x', '-x, -x, x', '-x, x, -x', 'x, -x, -x', 'x, x, -x', '-x, -x, -x', 'x, -x, x', '-x, x, x', 'x, x+1/2, x+1/2', '-x, -x+1/2, x+1/2', '-x, x+1/2, -x+1/2', 'x, -x+1/2, -x+1/2', 'x, x+1/2, -x+1/2', '-x, -x+1/2, -x+1/2', 'x, -x+1/2, x+1/2', '-x, x+1/2, x+1/2', 'x+1/2, x, x+1/2', '-x+1/2, -x, x+1/2', '-x+1/2, x, -x+1/2', 'x+1/2, -x, -x+1/2', 'x+1/2, x, -x+1/2', '-x+1/2, -x, -x+1/2', 'x+1/2, -x, x+1/2', '-x+1/2, x, x+1/2', 'x+1/2, x+1/2, x', '-x+1/2, -x+1/2, x', '-x+1/2, x+1/2, -x', 'x+1/2, -x+1/2, -x', 'x+1/2, x+1/2, -x', '-x+1/2, -x+1/2, -x', 'x+1/2, -x+1/2, x', '-x+1/2, x+1/2, x'], ['x, 0, 0', '-x, 0, 0', '0, x, 0', '0, -x, 0', '0, 0, x', '0, 0, -x', 'x, 1/2, 1/2', '-x, 1/2, 1/2', '0, x+1/2, 1/2', '0, -x+1/2, 1/2', '0, 1/2, x+1/2', '0, 1/2, -x+1/2', 'x+1/2, 0, 1/2', '-x+1/2, 0, 1/2', '1/2, x, 1/2', '1/2, -x, 1/2', '1/2, 0, x+1/2', '1/2, 0, -x+1/2', 'x+1/2, 1/2, 0', '-x+1/2, 1/2, 0', '1/2, x+1/2, 0', '1/2, -x+1/2, 0', '1/2, 1/2, x', '1/2, 1/2, -x'], ['0, 1/4, 1/4', '0, 3/4, 1/4', '1/4, 0, 1/4', '1/4, 0, 3/4', '1/4, 1/4, 0', '3/4, 1/4, 0', '0, 3/4, 3/4', '0, 5/4, 3/4', '1/4, 1/2, 3/4', '1/4, 1/2, 5/4', '1/4, 3/4, 1/2', '3/4, 3/4, 1/2', '1/2, 1/4, 3/4', '1/2, 3/4, 3/4', '3/4, 0, 3/4', '3/4, 0, 5/4', '3/4, 1/4, 1/2', '5/4, 1/4, 1/2', '1/2, 3/4, 1/4', '1/2, 5/4, 1/4', '3/4, 1/2, 1/4', '3/4, 1/2, 3/4', '3/4, 3/4, 0', '5/4, 3/4, 0'], ['1/4, 1/4, 1/4', '1/4, 1/4, 3/4', '1/4, 3/4, 3/4', '1/4, 3/4, 5/4', '3/4, 1/4, 3/4', '3/4, 1/4, 5/4', '3/4, 3/4, 1/4', '3/4, 3/4, 3/4'], ['1/2, 1/2, 1/2', '1/2, 1, 1', '1, 1/2, 1', '1, 1, 1/2'], ['0, 0, 0', '0, 1/2, 1/2', '1/2, 0, 1/2', '1/2, 1/2, 0']]\"\n210,\"[['x, y, z', '-x, -y+1/2, z+1/2', '-x+1/2, y+1/2, -z', 'x+1/2, -y, -z+1/2', 'z, x, y', 'z+1/2, -x, -y+1/2', '-z, -x+1/2, y+1/2', '-z+1/2, x+1/2, -y', 'y, z, x', '-y+1/2, z+1/2, -x', 'y+1/2, -z, -x+1/2', '-y, -z+1/2, x+1/2', 'y+3/4, x+1/4, -z+3/4', '-y+1/4, -x+1/4, -z+1/4', 'y+1/4, -x+3/4, z+3/4', '-y+3/4, x+3/4, z+1/4', 'x+3/4, z+1/4, -y+3/4', '-x+3/4, z+3/4, y+1/4', '-x+1/4, -z+1/4, -y+1/4', 'x+1/4, -z+3/4, y+3/4', 'z+3/4, y+1/4, -x+3/4', 'z+1/4, -y+3/4, x+3/4', '-z+3/4, y+3/4, x+1/4', '-z+1/4, -y+1/4, -x+1/4', 'x, y+1/2, z+1/2', '-x, -y+1, z+1', '-x+1/2, y+1, -z+1/2', 'x+1/2, -y+1/2, -z+1', 'z, x+1/2, y+1/2', 'z+1/2, -x+1/2, -y+1', '-z, -x+1, y+1', '-z+1/2, x+1, -y+1/2', 'y, z+1/2, x+1/2', '-y+1/2, z+1, -x+1/2', 'y+1/2, -z+1/2, -x+1', '-y, -z+1, x+1', 'y+3/4, x+3/4, -z+5/4', '-y+1/4, -x+3/4, -z+3/4', 'y+1/4, -x+5/4, z+5/4', '-y+3/4, x+5/4, z+3/4', 'x+3/4, z+3/4, -y+5/4', '-x+3/4, z+5/4, y+3/4', '-x+1/4, -z+3/4, -y+3/4', 'x+1/4, -z+5/4, y+5/4', 'z+3/4, y+3/4, -x+5/4', 'z+1/4, -y+5/4, x+5/4', '-z+3/4, y+5/4, x+3/4', '-z+1/4, -y+3/4, -x+3/4', 'x+1/2, y, z+1/2', '-x+1/2, -y+1/2, z+1', '-x+1, y+1/2, -z+1/2', 'x+1, -y, -z+1', 'z+1/2, x, y+1/2', 'z+1, -x, -y+1', '-z+1/2, -x+1/2, y+1', '-z+1, x+1/2, -y+1/2', 'y+1/2, z, x+1/2', '-y+1, z+1/2, -x+1/2', 'y+1, -z, -x+1', '-y+1/2, -z+1/2, x+1', 'y+5/4, x+1/4, -z+5/4', '-y+3/4, -x+1/4, -z+3/4', 'y+3/4, -x+3/4, z+5/4', '-y+5/4, x+3/4, z+3/4', 'x+5/4, z+1/4, -y+5/4', '-x+5/4, z+3/4, y+3/4', '-x+3/4, -z+1/4, -y+3/4', 'x+3/4, -z+3/4, y+5/4', 'z+5/4, y+1/4, -x+5/4', 'z+3/4, -y+3/4, x+5/4', '-z+5/4, y+3/4, x+3/4', '-z+3/4, -y+1/4, -x+3/4', 'x+1/2, y+1/2, z', '-x+1/2, -y+1, z+1/2', '-x+1, y+1, -z', 'x+1, -y+1/2, -z+1/2', 'z+1/2, x+1/2, y', 'z+1, -x+1/2, -y+1/2', '-z+1/2, -x+1, y+1/2', '-z+1, x+1, -y', 'y+1/2, z+1/2, x', '-y+1, z+1, -x', 'y+1, -z+1/2, -x+1/2', '-y+1/2, -z+1, x+1/2', 'y+5/4, x+3/4, -z+3/4', '-y+3/4, -x+3/4, -z+1/4', 'y+3/4, -x+5/4, z+3/4', '-y+5/4, x+5/4, z+1/4', 'x+5/4, z+3/4, -y+3/4', '-x+5/4, z+5/4, y+1/4', '-x+3/4, -z+3/4, -y+1/4', 'x+3/4, -z+5/4, y+3/4', 'z+5/4, y+3/4, -x+3/4', 'z+3/4, -y+5/4, x+3/4', '-z+5/4, y+5/4, x+1/4', '-z+3/4, -y+3/4, -x+1/4'], ['1/8, y, -y+1/4', '7/8, -y+1/2, -y+3/4', '3/8, y+1/2, y+3/4', '5/8, -y, y+1/4', '-y+1/4, 1/8, y', '-y+3/4, 7/8, -y+1/2', 'y+3/4, 3/8, y+1/2', 'y+1/4, 5/8, -y', 'y, -y+1/4, 1/8', '-y+1/2, -y+3/4, 7/8', 'y+1/2, y+3/4, 3/8', '-y, y+1/4, 5/8', '1/8, y+1/2, -y+3/4', '7/8, -y+1, -y+5/4', '3/8, y+1, y+5/4', '5/8, -y+1/2, y+3/4', '-y+1/4, 5/8, y+1/2', '-y+3/4, 11/8, -y+1', 'y+3/4, 7/8, y+1', 'y+1/4, 9/8, -y+1/2', 'y, -y+3/4, 5/8', '-y+1/2, -y+5/4, 11/8', 'y+1/2, y+5/4, 7/8', '-y, y+3/4, 9/8', '5/8, y, -y+3/4', '11/8, -y+1/2, -y+5/4', '7/8, y+1/2, y+5/4', '9/8, -y, y+3/4', '-y+3/4, 1/8, y+1/2', '-y+5/4, 7/8, -y+1', 'y+5/4, 3/8, y+1', 'y+3/4, 5/8, -y+1/2', 'y+1/2, -y+1/4, 5/8', '-y+1, -y+3/4, 11/8', 'y+1, y+3/4, 7/8', '-y+1/2, y+1/4, 9/8', '5/8, y+1/2, -y+1/4', '11/8, -y+1, -y+3/4', '7/8, y+1, y+3/4', '9/8, -y+1/2, y+1/4', '-y+3/4, 5/8, y', '-y+5/4, 11/8, -y+1/2', 'y+5/4, 7/8, y+1/2', 'y+3/4, 9/8, -y', 'y+1/2, -y+3/4, 1/8', '-y+1, -y+5/4, 7/8', 'y+1, y+5/4, 3/8', '-y+1/2, y+3/4, 5/8'], ['x, 0, 0', '-x, 1/2, 1/2', '0, x, 0', '1/2, -x, 1/2', '0, 0, x', '1/2, 1/2, -x', '3/4, x+1/4, 3/4', '1/4, -x+1/4, 1/4', 'x+3/4, 1/4, 3/4', '-x+3/4, 3/4, 1/4', '3/4, 1/4, -x+3/4', '1/4, 3/4, x+3/4', 'x, 1/2, 1/2', '-x, 1, 1', '0, x+1/2, 1/2', '1/2, -x+1/2, 1', '0, 1/2, x+1/2', '1/2, 1, -x+1/2', '3/4, x+3/4, 5/4', '1/4, -x+3/4, 3/4', 'x+3/4, 3/4, 5/4', '-x+3/4, 5/4, 3/4', '3/4, 3/4, -x+5/4', '1/4, 5/4, x+5/4', 'x+1/2, 0, 1/2', '-x+1/2, 1/2, 1', '1/2, x, 1/2', '1, -x, 1', '1/2, 0, x+1/2', '1, 1/2, -x+1/2', '5/4, x+1/4, 5/4', '3/4, -x+1/4, 3/4', 'x+5/4, 1/4, 5/4', '-x+5/4, 3/4, 3/4', '5/4, 1/4, -x+5/4', '3/4, 3/4, x+5/4', 'x+1/2, 1/2, 0', '-x+1/2, 1, 1/2', '1/2, x+1/2, 0', '1, -x+1/2, 1/2', '1/2, 1/2, x', '1, 1, -x', '5/4, x+3/4, 3/4', '3/4, -x+3/4, 1/4', 'x+5/4, 3/4, 3/4', '-x+5/4, 5/4, 1/4', '5/4, 3/4, -x+3/4', '3/4, 5/4, x+3/4'], ['x, x, x', '-x, -x+1/2, x+1/2', '-x+1/2, x+1/2, -x', 'x+1/2, -x, -x+1/2', 'x+3/4, x+1/4, -x+3/4', '-x+1/4, -x+1/4, -x+1/4', 'x+1/4, -x+3/4, x+3/4', '-x+3/4, x+3/4, x+1/4', 'x, x+1/2, x+1/2', '-x, -x+1, x+1', '-x+1/2, x+1, -x+1/2', 'x+1/2, -x+1/2, -x+1', 'x+3/4, x+3/4, -x+5/4', '-x+1/4, -x+3/4, -x+3/4', 'x+1/4, -x+5/4, x+5/4', '-x+3/4, x+5/4, x+3/4', 'x+1/2, x, x+1/2', '-x+1/2, -x+1/2, x+1', '-x+1, x+1/2, -x+1/2', 'x+1, -x, -x+1', 'x+5/4, x+1/4, -x+5/4', '-x+3/4, -x+1/4, -x+3/4', 'x+3/4, -x+3/4, x+5/4', '-x+5/4, x+3/4, x+3/4', 'x+1/2, x+1/2, x', '-x+1/2, -x+1, x+1/2', '-x+1, x+1, -x', 'x+1, -x+1/2, -x+1/2', 'x+5/4, x+3/4, -x+3/4', '-x+3/4, -x+3/4, -x+1/4', 'x+3/4, -x+5/4, x+3/4', '-x+5/4, x+5/4, x+1/4'], ['5/8, 5/8, 5/8', '3/8, 7/8, 1/8', '7/8, 1/8, 3/8', '1/8, 3/8, 7/8', '5/8, 9/8, 9/8', '3/8, 11/8, 5/8', '7/8, 5/8, 7/8', '1/8, 7/8, 11/8', '9/8, 5/8, 9/8', '7/8, 7/8, 5/8', '11/8, 1/8, 7/8', '5/8, 3/8, 11/8', '9/8, 9/8, 5/8', '7/8, 11/8, 1/8', '11/8, 5/8, 3/8', '5/8, 7/8, 7/8'], ['1/8, 1/8, 1/8', '7/8, 3/8, 5/8', '3/8, 5/8, 7/8', '5/8, 7/8, 3/8', '1/8, 5/8, 5/8', '7/8, 7/8, 9/8', '3/8, 9/8, 11/8', '5/8, 11/8, 7/8', '5/8, 1/8, 5/8', '11/8, 3/8, 9/8', '7/8, 5/8, 11/8', '9/8, 7/8, 7/8', '5/8, 5/8, 1/8', '11/8, 7/8, 5/8', '7/8, 9/8, 7/8', '9/8, 11/8, 3/8'], ['1/2, 1/2, 1/2', '1/4, 3/4, 1/4', '1/2, 1, 1', '1/4, 5/4, 3/4', '1, 1/2, 1', '3/4, 3/4, 3/4', '1, 1, 1/2', '3/4, 5/4, 1/4'], ['0, 0, 0', '3/4, 1/4, 3/4', '0, 1/2, 1/2', '3/4, 3/4, 5/4', '1/2, 0, 1/2', '5/4, 1/4, 5/4', '1/2, 1/2, 0', '5/4, 3/4, 3/4']]\"\n211,\"[['x, y, z', '-x, -y, z', '-x, y, -z', 'x, -y, -z', 'z, x, y', 'z, -x, -y', '-z, -x, y', '-z, x, -y', 'y, z, x', '-y, z, -x', 'y, -z, -x', '-y, -z, x', 'y, x, -z', '-y, -x, -z', 'y, -x, z', '-y, x, z', 'x, z, -y', '-x, z, y', '-x, -z, -y', 'x, -z, y', 'z, y, -x', 'z, -y, x', '-z, y, x', '-z, -y, -x', 'x+1/2, y+1/2, z+1/2', '-x+1/2, -y+1/2, z+1/2', '-x+1/2, y+1/2, -z+1/2', 'x+1/2, -y+1/2, -z+1/2', 'z+1/2, x+1/2, y+1/2', 'z+1/2, -x+1/2, -y+1/2', '-z+1/2, -x+1/2, y+1/2', '-z+1/2, x+1/2, -y+1/2', 'y+1/2, z+1/2, x+1/2', '-y+1/2, z+1/2, -x+1/2', 'y+1/2, -z+1/2, -x+1/2', '-y+1/2, -z+1/2, x+1/2', 'y+1/2, x+1/2, -z+1/2', '-y+1/2, -x+1/2, -z+1/2', 'y+1/2, -x+1/2, z+1/2', '-y+1/2, x+1/2, z+1/2', 'x+1/2, z+1/2, -y+1/2', '-x+1/2, z+1/2, y+1/2', '-x+1/2, -z+1/2, -y+1/2', 'x+1/2, -z+1/2, y+1/2', 'z+1/2, y+1/2, -x+1/2', 'z+1/2, -y+1/2, x+1/2', '-z+1/2, y+1/2, x+1/2', '-z+1/2, -y+1/2, -x+1/2'], ['1/4, y, -y+1/2', '3/4, -y, -y+1/2', '3/4, y, y+1/2', '1/4, -y, y+1/2', '-y+1/2, 1/4, y', '-y+1/2, 3/4, -y', 'y+1/2, 3/4, y', 'y+1/2, 1/4, -y', 'y, -y+1/2, 1/4', '-y, -y+1/2, 3/4', 'y, y+1/2, 3/4', '-y, y+1/2, 1/4', '3/4, y+1/2, -y+1', '5/4, -y+1/2, -y+1', '5/4, y+1/2, y+1', '3/4, -y+1/2, y+1', '-y+1, 3/4, y+1/2', '-y+1, 5/4, -y+1/2', 'y+1, 5/4, y+1/2', 'y+1, 3/4, -y+1/2', 'y+1/2, -y+1, 3/4', '-y+1/2, -y+1, 5/4', 'y+1/2, y+1, 5/4', '-y+1/2, y+1, 3/4'], ['0, y, y', '0, -y, y', '0, y, -y', '0, -y, -y', 'y, 0, y', 'y, 0, -y', '-y, 0, y', '-y, 0, -y', 'y, y, 0', '-y, y, 0', 'y, -y, 0', '-y, -y, 0', '1/2, y+1/2, y+1/2', '1/2, -y+1/2, y+1/2', '1/2, y+1/2, -y+1/2', '1/2, -y+1/2, -y+1/2', 'y+1/2, 1/2, y+1/2', 'y+1/2, 1/2, -y+1/2', '-y+1/2, 1/2, y+1/2', '-y+1/2, 1/2, -y+1/2', 'y+1/2, y+1/2, 1/2', '-y+1/2, y+1/2, 1/2', 'y+1/2, -y+1/2, 1/2', '-y+1/2, -y+1/2, 1/2'], ['x, 1/2, 0', '-x, 1/2, 0', '0, x, 1/2', '0, -x, 1/2', '1/2, 0, x', '1/2, 0, -x', '1/2, x, 0', '1/2, -x, 0', 'x, 0, 1/2', '-x, 0, 1/2', '0, 1/2, -x', '0, 1/2, x', 'x+1/2, 1, 1/2', '-x+1/2, 1, 1/2', '1/2, x+1/2, 1', '1/2, -x+1/2, 1', '1, 1/2, x+1/2', '1, 1/2, -x+1/2', '1, x+1/2, 1/2', '1, -x+1/2, 1/2', 'x+1/2, 1/2, 1', '-x+1/2, 1/2, 1', '1/2, 1, -x+1/2', '1/2, 1, x+1/2'], ['x, x, x', '-x, -x, x', '-x, x, -x', 'x, -x, -x', 'x, x, -x', '-x, -x, -x', 'x, -x, x', '-x, x, x', 'x+1/2, x+1/2, x+1/2', '-x+1/2, -x+1/2, x+1/2', '-x+1/2, x+1/2, -x+1/2', 'x+1/2, -x+1/2, -x+1/2', 'x+1/2, x+1/2, -x+1/2', '-x+1/2, -x+1/2, -x+1/2', 'x+1/2, -x+1/2, x+1/2', '-x+1/2, x+1/2, x+1/2'], ['x, 0, 0', '-x, 0, 0', '0, x, 0', '0, -x, 0', '0, 0, x', '0, 0, -x', 'x+1/2, 1/2, 1/2', '-x+1/2, 1/2, 1/2', '1/2, x+1/2, 1/2', '1/2, -x+1/2, 1/2', '1/2, 1/2, x+1/2', '1/2, 1/2, -x+1/2'], ['1/4, 1/2, 0', '3/4, 1/2, 0', '0, 1/4, 1/2', '0, 3/4, 1/2', '1/2, 0, 1/4', '1/2, 0, 3/4', '3/4, 1, 1/2', '5/4, 1, 1/2', '1/2, 3/4, 1', '1/2, 5/4, 1', '1, 1/2, 3/4', '1, 1/2, 5/4'], ['1/4, 1/4, 1/4', '3/4, 3/4, 1/4', '3/4, 1/4, 3/4', '1/4, 3/4, 3/4', '3/4, 3/4, 3/4', '5/4, 5/4, 3/4', '5/4, 3/4, 5/4', '3/4, 5/4, 5/4'], ['0, 1/2, 1/2', '1/2, 0, 1/2', '1/2, 1/2, 0', '1/2, 1, 1', '1, 1/2, 1', '1, 1, 1/2'], ['0, 0, 0', '1/2, 1/2, 1/2']]\"\n212,\"[['x, y, z', '-x+1/2, -y, z+1/2', '-x, y+1/2, -z+1/2', 'x+1/2, -y+1/2, -z', 'z, x, y', 'z+1/2, -x+1/2, -y', '-z+1/2, -x, y+1/2', '-z, x+1/2, -y+1/2', 'y, z, x', '-y, z+1/2, -x+1/2', 'y+1/2, -z+1/2, -x', '-y+1/2, -z, x+1/2', 'y+1/4, x+3/4, -z+3/4', '-y+1/4, -x+1/4, -z+1/4', 'y+3/4, -x+3/4, z+1/4', '-y+3/4, x+1/4, z+3/4', 'x+1/4, z+3/4, -y+3/4', '-x+3/4, z+1/4, y+3/4', '-x+1/4, -z+1/4, -y+1/4', 'x+3/4, -z+3/4, y+1/4', 'z+1/4, y+3/4, -x+3/4', 'z+3/4, -y+3/4, x+1/4', '-z+3/4, y+1/4, x+3/4', '-z+1/4, -y+1/4, -x+1/4'], ['1/8, y, -y+1/4', '3/8, -y, -y+3/4', '7/8, y+1/2, y+1/4', '5/8, -y+1/2, y+3/4', '-y+1/4, 1/8, y', '-y+3/4, 3/8, -y', 'y+1/4, 7/8, y+1/2', 'y+3/4, 5/8, -y+1/2', 'y, -y+1/4, 1/8', '-y, -y+3/4, 3/8', 'y+1/2, y+1/4, 7/8', '-y+1/2, y+3/4, 5/8'], ['x, x, x', '-x+1/2, -x, x+1/2', '-x, x+1/2, -x+1/2', 'x+1/2, -x+1/2, -x', 'x+1/4, x+3/4, -x+3/4', '-x+1/4, -x+1/4, -x+1/4', 'x+3/4, -x+3/4, x+1/4', '-x+3/4, x+1/4, x+3/4'], ['5/8, 5/8, 5/8', '7/8, 3/8, 1/8', '3/8, 1/8, 7/8', '1/8, 7/8, 3/8'], ['1/8, 1/8, 1/8', '3/8, 7/8, 5/8', '7/8, 5/8, 3/8', '5/8, 3/8, 7/8']]\"\n213,\"[['x, y, z', '-x+1/2, -y, z+1/2', '-x, y+1/2, -z+1/2', 'x+1/2, -y+1/2, -z', 'z, x, y', 'z+1/2, -x+1/2, -y', '-z+1/2, -x, y+1/2', '-z, x+1/2, -y+1/2', 'y, z, x', '-y, z+1/2, -x+1/2', 'y+1/2, -z+1/2, -x', '-y+1/2, -z, x+1/2', 'y+3/4, x+1/4, -z+1/4', '-y+3/4, -x+3/4, -z+3/4', 'y+1/4, -x+1/4, z+3/4', '-y+1/4, x+3/4, z+1/4', 'x+3/4, z+1/4, -y+1/4', '-x+1/4, z+3/4, y+1/4', '-x+3/4, -z+3/4, -y+3/4', 'x+1/4, -z+1/4, y+3/4', 'z+3/4, y+1/4, -x+1/4', 'z+1/4, -y+1/4, x+3/4', '-z+1/4, y+3/4, x+1/4', '-z+3/4, -y+3/4, -x+3/4'], ['1/8, y, y+1/4', '3/8, -y, y+3/4', '7/8, y+1/2, -y+1/4', '5/8, -y+1/2, -y+3/4', 'y+1/4, 1/8, y', 'y+3/4, 3/8, -y', '-y+1/4, 7/8, y+1/2', '-y+3/4, 5/8, -y+1/2', 'y, y+1/4, 1/8', '-y, y+3/4, 3/8', 'y+1/2, -y+1/4, 7/8', '-y+1/2, -y+3/4, 5/8'], ['x, x, x', '-x+1/2, -x, x+1/2', '-x, x+1/2, -x+1/2', 'x+1/2, -x+1/2, -x', 'x+3/4, x+1/4, -x+1/4', '-x+3/4, -x+3/4, -x+3/4', 'x+1/4, -x+1/4, x+3/4', '-x+1/4, x+3/4, x+1/4'], ['7/8, 7/8, 7/8', '5/8, 1/8, 3/8', '1/8, 3/8, 5/8', '3/8, 5/8, 1/8'], ['3/8, 3/8, 3/8', '1/8, 5/8, 7/8', '5/8, 7/8, 1/8', '7/8, 1/8, 5/8']]\"\n214,\"[['x, y, z', '-x+1/2, -y, z+1/2', '-x, y+1/2, -z+1/2', 'x+1/2, -y+1/2, -z', 'z, x, y', 'z+1/2, -x+1/2, -y', '-z+1/2, -x, y+1/2', '-z, x+1/2, -y+1/2', 'y, z, x', '-y, z+1/2, -x+1/2', 'y+1/2, -z+1/2, -x', '-y+1/2, -z, x+1/2', 'y+3/4, x+1/4, -z+1/4', '-y+3/4, -x+3/4, -z+3/4', 'y+1/4, -x+1/4, z+3/4', '-y+1/4, x+3/4, z+1/4', 'x+3/4, z+1/4, -y+1/4', '-x+1/4, z+3/4, y+1/4', '-x+3/4, -z+3/4, -y+3/4', 'x+1/4, -z+1/4, y+3/4', 'z+3/4, y+1/4, -x+1/4', 'z+1/4, -y+1/4, x+3/4', '-z+1/4, y+3/4, x+1/4', '-z+3/4, -y+3/4, -x+3/4', 'x+1/2, y+1/2, z+1/2', '-x+1, -y+1/2, z+1', '-x+1/2, y+1, -z+1', 'x+1, -y+1, -z+1/2', 'z+1/2, x+1/2, y+1/2', 'z+1, -x+1, -y+1/2', '-z+1, -x+1/2, y+1', '-z+1/2, x+1, -y+1', 'y+1/2, z+1/2, x+1/2', '-y+1/2, z+1, -x+1', 'y+1, -z+1, -x+1/2', '-y+1, -z+1/2, x+1', 'y+5/4, x+3/4, -z+3/4', '-y+5/4, -x+5/4, -z+5/4', 'y+3/4, -x+3/4, z+5/4', '-y+3/4, x+5/4, z+3/4', 'x+5/4, z+3/4, -y+3/4', '-x+3/4, z+5/4, y+3/4', '-x+5/4, -z+5/4, -y+5/4', 'x+3/4, -z+3/4, y+5/4', 'z+5/4, y+3/4, -x+3/4', 'z+3/4, -y+3/4, x+5/4', '-z+3/4, y+5/4, x+3/4', '-z+5/4, -y+5/4, -x+5/4'], ['1/8, y, -y+1/4', '3/8, -y, -y+3/4', '7/8, y+1/2, y+1/4', '5/8, -y+1/2, y+3/4', '-y+1/4, 1/8, y', '-y+3/4, 3/8, -y', 'y+1/4, 7/8, y+1/2', 'y+3/4, 5/8, -y+1/2', 'y, -y+1/4, 1/8', '-y, -y+3/4, 3/8', 'y+1/2, y+1/4, 7/8', '-y+1/2, y+3/4, 5/8', '5/8, y+1/2, -y+3/4', '7/8, -y+1/2, -y+5/4', '11/8, y+1, y+3/4', '9/8, -y+1, y+5/4', '-y+3/4, 5/8, y+1/2', '-y+5/4, 7/8, -y+1/2', 'y+3/4, 11/8, y+1', 'y+5/4, 9/8, -y+1', 'y+1/2, -y+3/4, 5/8', '-y+1/2, -y+5/4, 7/8', 'y+1, y+3/4, 11/8', '-y+1, y+5/4, 9/8'], ['1/8, y, y+1/4', '3/8, -y, y+3/4', '7/8, y+1/2, -y+1/4', '5/8, -y+1/2, -y+3/4', 'y+1/4, 1/8, y', 'y+3/4, 3/8, -y', '-y+1/4, 7/8, y+1/2', '-y+3/4, 5/8, -y+1/2', 'y, y+1/4, 1/8', '-y, y+3/4, 3/8', 'y+1/2, -y+1/4, 7/8', '-y+1/2, -y+3/4, 5/8', '5/8, y+1/2, y+3/4', '7/8, -y+1/2, y+5/4', '11/8, y+1, -y+3/4', '9/8, -y+1, -y+5/4', 'y+3/4, 5/8, y+1/2', 'y+5/4, 7/8, -y+1/2', '-y+3/4, 11/8, y+1', '-y+5/4, 9/8, -y+1', 'y+1/2, y+3/4, 5/8', '-y+1/2, y+5/4, 7/8', 'y+1, -y+3/4, 11/8', '-y+1, -y+5/4, 9/8'], ['x, 0, 1/4', '-x+1/2, 0, 3/4', '1/4, x, 0', '3/4, -x+1/2, 0', '0, 1/4, x', '0, 3/4, -x+1/2', '3/4, x+1/4, 0', '3/4, -x+3/4, 1/2', 'x+3/4, 1/2, 1/4', '-x+1/4, 0, 1/4', '0, 1/4, -x+1/4', '1/2, 1/4, x+3/4', 'x+1/2, 1/2, 3/4', '-x+1, 1/2, 5/4', '3/4, x+1/2, 1/2', '5/4, -x+1, 1/2', '1/2, 3/4, x+1/2', '1/2, 5/4, -x+1', '5/4, x+3/4, 1/2', '5/4, -x+5/4, 1', 'x+5/4, 1, 3/4', '-x+3/4, 1/2, 3/4', '1/2, 3/4, -x+3/4', '1, 3/4, x+5/4'], ['x, x, x', '-x+1/2, -x, x+1/2', '-x, x+1/2, -x+1/2', 'x+1/2, -x+1/2, -x', 'x+3/4, x+1/4, -x+1/4', '-x+3/4, -x+3/4, -x+3/4', 'x+1/4, -x+1/4, x+3/4', '-x+1/4, x+3/4, x+1/4', 'x+1/2, x+1/2, x+1/2', '-x+1, -x+1/2, x+1', '-x+1/2, x+1, -x+1', 'x+1, -x+1, -x+1/2', 'x+5/4, x+3/4, -x+3/4', '-x+5/4, -x+5/4, -x+5/4', 'x+3/4, -x+3/4, x+5/4', '-x+3/4, x+5/4, x+3/4'], ['5/8, 0, 1/4', '7/8, 0, 3/4', '1/4, 5/8, 0', '3/4, 7/8, 0', '0, 1/4, 5/8', '0, 3/4, 7/8', '9/8, 1/2, 3/4', '11/8, 1/2, 5/4', '3/4, 9/8, 1/2', '5/4, 11/8, 1/2', '1/2, 3/4, 9/8', '1/2, 5/4, 11/8'], ['1/8, 0, 1/4', '3/8, 0, 3/4', '1/4, 1/8, 0', '3/4, 3/8, 0', '0, 1/4, 1/8', '0, 3/4, 3/8', '5/8, 1/2, 3/4', '7/8, 1/2, 5/4', '3/4, 5/8, 1/2', '5/4, 7/8, 1/2', '1/2, 3/4, 5/8', '1/2, 5/4, 7/8'], ['7/8, 7/8, 7/8', '5/8, 1/8, 3/8', '1/8, 3/8, 5/8', '3/8, 5/8, 1/8', '11/8, 11/8, 11/8', '9/8, 5/8, 7/8', '5/8, 7/8, 9/8', '7/8, 9/8, 5/8'], ['1/8, 1/8, 1/8', '3/8, 7/8, 5/8', '7/8, 5/8, 3/8', '5/8, 3/8, 7/8', '5/8, 5/8, 5/8', '7/8, 11/8, 9/8', '11/8, 9/8, 7/8', '9/8, 7/8, 11/8']]\"\n215,\"[['x, y, z', '-x, -y, z', '-x, y, -z', 'x, -y, -z', 'z, x, y', 'z, -x, -y', '-z, -x, y', '-z, x, -y', 'y, z, x', '-y, z, -x', 'y, -z, -x', '-y, -z, x', 'y, x, z', '-y, -x, z', 'y, -x, -z', '-y, x, -z', 'x, z, y', '-x, z, -y', '-x, -z, y', 'x, -z, -y', 'z, y, x', 'z, -y, -x', '-z, y, -x', '-z, -y, x'], ['x, x, z', '-x, -x, z', '-x, x, -z', 'x, -x, -z', 'z, x, x', 'z, -x, -x', '-z, -x, x', '-z, x, -x', 'x, z, x', '-x, z, -x', 'x, -z, -x', '-x, -z, x'], ['x, 1/2, 0', '-x, 1/2, 0', '0, x, 1/2', '0, -x, 1/2', '1/2, 0, x', '1/2, 0, -x', '1/2, x, 0', '1/2, -x, 0', 'x, 0, 1/2', '-x, 0, 1/2', '0, 1/2, x', '0, 1/2, -x'], ['x, 1/2, 1/2', '-x, 1/2, 1/2', '1/2, x, 1/2', '1/2, -x, 1/2', '1/2, 1/2, x', '1/2, 1/2, -x'], ['x, 0, 0', '-x, 0, 0', '0, x, 0', '0, -x, 0', '0, 0, x', '0, 0, -x'], ['x, x, x', '-x, -x, x', '-x, x, -x', 'x, -x, -x'], ['1/2, 0, 0', '0, 1/2, 0', '0, 0, 1/2'], ['0, 1/2, 1/2', '1/2, 0, 1/2', '1/2, 1/2, 0'], ['1/2, 1/2, 1/2'], ['0, 0, 0']]\"\n216,\"[['x, y, z', '-x, -y, z', '-x, y, -z', 'x, -y, -z', 'z, x, y', 'z, -x, -y', '-z, -x, y', '-z, x, -y', 'y, z, x', '-y, z, -x', 'y, -z, -x', '-y, -z, x', 'y, x, z', '-y, -x, z', 'y, -x, -z', '-y, x, -z', 'x, z, y', '-x, z, -y', '-x, -z, y', 'x, -z, -y', 'z, y, x', 'z, -y, -x', '-z, y, -x', '-z, -y, x', 'x, y+1/2, z+1/2', '-x, -y+1/2, z+1/2', '-x, y+1/2, -z+1/2', 'x, -y+1/2, -z+1/2', 'z, x+1/2, y+1/2', 'z, -x+1/2, -y+1/2', '-z, -x+1/2, y+1/2', '-z, x+1/2, -y+1/2', 'y, z+1/2, x+1/2', '-y, z+1/2, -x+1/2', 'y, -z+1/2, -x+1/2', '-y, -z+1/2, x+1/2', 'y, x+1/2, z+1/2', '-y, -x+1/2, z+1/2', 'y, -x+1/2, -z+1/2', '-y, x+1/2, -z+1/2', 'x, z+1/2, y+1/2', '-x, z+1/2, -y+1/2', '-x, -z+1/2, y+1/2', 'x, -z+1/2, -y+1/2', 'z, y+1/2, x+1/2', 'z, -y+1/2, -x+1/2', '-z, y+1/2, -x+1/2', '-z, -y+1/2, x+1/2', 'x+1/2, y, z+1/2', '-x+1/2, -y, z+1/2', '-x+1/2, y, -z+1/2', 'x+1/2, -y, -z+1/2', 'z+1/2, x, y+1/2', 'z+1/2, -x, -y+1/2', '-z+1/2, -x, y+1/2', '-z+1/2, x, -y+1/2', 'y+1/2, z, x+1/2', '-y+1/2, z, -x+1/2', 'y+1/2, -z, -x+1/2', '-y+1/2, -z, x+1/2', 'y+1/2, x, z+1/2', '-y+1/2, -x, z+1/2', 'y+1/2, -x, -z+1/2', '-y+1/2, x, -z+1/2', 'x+1/2, z, y+1/2', '-x+1/2, z, -y+1/2', '-x+1/2, -z, y+1/2', 'x+1/2, -z, -y+1/2', 'z+1/2, y, x+1/2', 'z+1/2, -y, -x+1/2', '-z+1/2, y, -x+1/2', '-z+1/2, -y, x+1/2', 'x+1/2, y+1/2, z', '-x+1/2, -y+1/2, z', '-x+1/2, y+1/2, -z', 'x+1/2, -y+1/2, -z', 'z+1/2, x+1/2, y', 'z+1/2, -x+1/2, -y', '-z+1/2, -x+1/2, y', '-z+1/2, x+1/2, -y', 'y+1/2, z+1/2, x', '-y+1/2, z+1/2, -x', 'y+1/2, -z+1/2, -x', '-y+1/2, -z+1/2, x', 'y+1/2, x+1/2, z', '-y+1/2, -x+1/2, z', 'y+1/2, -x+1/2, -z', '-y+1/2, x+1/2, -z', 'x+1/2, z+1/2, y', '-x+1/2, z+1/2, -y', '-x+1/2, -z+1/2, y', 'x+1/2, -z+1/2, -y', 'z+1/2, y+1/2, x', 'z+1/2, -y+1/2, -x', '-z+1/2, y+1/2, -x', '-z+1/2, -y+1/2, x'], ['x, x, z', '-x, -x, z', '-x, x, -z', 'x, -x, -z', 'z, x, x', 'z, -x, -x', '-z, -x, x', '-z, x, -x', 'x, z, x', '-x, z, -x', 'x, -z, -x', '-x, -z, x', 'x, x+1/2, z+1/2', '-x, -x+1/2, z+1/2', '-x, x+1/2, -z+1/2', 'x, -x+1/2, -z+1/2', 'z, x+1/2, x+1/2', 'z, -x+1/2, -x+1/2', '-z, -x+1/2, x+1/2', '-z, x+1/2, -x+1/2', 'x, z+1/2, x+1/2', '-x, z+1/2, -x+1/2', 'x, -z+1/2, -x+1/2', '-x, -z+1/2, x+1/2', 'x+1/2, x, z+1/2', '-x+1/2, -x, z+1/2', '-x+1/2, x, -z+1/2', 'x+1/2, -x, -z+1/2', 'z+1/2, x, x+1/2', 'z+1/2, -x, -x+1/2', '-z+1/2, -x, x+1/2', '-z+1/2, x, -x+1/2', 'x+1/2, z, x+1/2', '-x+1/2, z, -x+1/2', 'x+1/2, -z, -x+1/2', '-x+1/2, -z, x+1/2', 'x+1/2, x+1/2, z', '-x+1/2, -x+1/2, z', '-x+1/2, x+1/2, -z', 'x+1/2, -x+1/2, -z', 'z+1/2, x+1/2, x', 'z+1/2, -x+1/2, -x', '-z+1/2, -x+1/2, x', '-z+1/2, x+1/2, -x', 'x+1/2, z+1/2, x', '-x+1/2, z+1/2, -x', 'x+1/2, -z+1/2, -x', '-x+1/2, -z+1/2, x'], ['x, 1/4, 1/4', '-x, 3/4, 1/4', '1/4, x, 1/4', '1/4, -x, 3/4', '1/4, 1/4, x', '3/4, 1/4, -x', 'x, 3/4, 3/4', '-x, 5/4, 3/4', '1/4, x+1/2, 3/4', '1/4, -x+1/2, 5/4', '1/4, 3/4, x+1/2', '3/4, 3/4, -x+1/2', 'x+1/2, 1/4, 3/4', '-x+1/2, 3/4, 3/4', '3/4, x, 3/4', '3/4, -x, 5/4', '3/4, 1/4, x+1/2', '5/4, 1/4, -x+1/2', 'x+1/2, 3/4, 1/4', '-x+1/2, 5/4, 1/4', '3/4, x+1/2, 1/4', '3/4, -x+1/2, 3/4', '3/4, 3/4, x', '5/4, 3/4, -x'], ['x, 0, 0', '-x, 0, 0', '0, x, 0', '0, -x, 0', '0, 0, x', '0, 0, -x', 'x, 1/2, 1/2', '-x, 1/2, 1/2', '0, x+1/2, 1/2', '0, -x+1/2, 1/2', '0, 1/2, x+1/2', '0, 1/2, -x+1/2', 'x+1/2, 0, 1/2', '-x+1/2, 0, 1/2', '1/2, x, 1/2', '1/2, -x, 1/2', '1/2, 0, x+1/2', '1/2, 0, -x+1/2', 'x+1/2, 1/2, 0', '-x+1/2, 1/2, 0', '1/2, x+1/2, 0', '1/2, -x+1/2, 0', '1/2, 1/2, x', '1/2, 1/2, -x'], ['x, x, x', '-x, -x, x', '-x, x, -x', 'x, -x, -x', 'x, x+1/2, x+1/2', '-x, -x+1/2, x+1/2', '-x, x+1/2, -x+1/2', 'x, -x+1/2, -x+1/2', 'x+1/2, x, x+1/2', '-x+1/2, -x, x+1/2', '-x+1/2, x, -x+1/2', 'x+1/2, -x, -x+1/2', 'x+1/2, x+1/2, x', '-x+1/2, -x+1/2, x', '-x+1/2, x+1/2, -x', 'x+1/2, -x+1/2, -x'], ['3/4, 3/4, 3/4', '3/4, 5/4, 5/4', '5/4, 3/4, 5/4', '5/4, 5/4, 3/4'], ['1/4, 1/4, 1/4', '1/4, 3/4, 3/4', '3/4, 1/4, 3/4', '3/4, 3/4, 1/4'], ['1/2, 1/2, 1/2', '1/2, 1, 1', '1, 1/2, 1', '1, 1, 1/2'], ['0, 0, 0', '0, 1/2, 1/2', '1/2, 0, 1/2', '1/2, 1/2, 0']]\"\n217,\"[['x, y, z', '-x, -y, z', '-x, y, -z', 'x, -y, -z', 'z, x, y', 'z, -x, -y', '-z, -x, y', '-z, x, -y', 'y, z, x', '-y, z, -x', 'y, -z, -x', '-y, -z, x', 'y, x, z', '-y, -x, z', 'y, -x, -z', '-y, x, -z', 'x, z, y', '-x, z, -y', '-x, -z, y', 'x, -z, -y', 'z, y, x', 'z, -y, -x', '-z, y, -x', '-z, -y, x', 'x+1/2, y+1/2, z+1/2', '-x+1/2, -y+1/2, z+1/2', '-x+1/2, y+1/2, -z+1/2', 'x+1/2, -y+1/2, -z+1/2', 'z+1/2, x+1/2, y+1/2', 'z+1/2, -x+1/2, -y+1/2', '-z+1/2, -x+1/2, y+1/2', '-z+1/2, x+1/2, -y+1/2', 'y+1/2, z+1/2, x+1/2', '-y+1/2, z+1/2, -x+1/2', 'y+1/2, -z+1/2, -x+1/2', '-y+1/2, -z+1/2, x+1/2', 'y+1/2, x+1/2, z+1/2', '-y+1/2, -x+1/2, z+1/2', 'y+1/2, -x+1/2, -z+1/2', '-y+1/2, x+1/2, -z+1/2', 'x+1/2, z+1/2, y+1/2', '-x+1/2, z+1/2, -y+1/2', '-x+1/2, -z+1/2, y+1/2', 'x+1/2, -z+1/2, -y+1/2', 'z+1/2, y+1/2, x+1/2', 'z+1/2, -y+1/2, -x+1/2', '-z+1/2, y+1/2, -x+1/2', '-z+1/2, -y+1/2, x+1/2'], ['x, x, z', '-x, -x, z', '-x, x, -z', 'x, -x, -z', 'z, x, x', 'z, -x, -x', '-z, -x, x', '-z, x, -x', 'x, z, x', '-x, z, -x', 'x, -z, -x', '-x, -z, x', 'x+1/2, x+1/2, z+1/2', '-x+1/2, -x+1/2, z+1/2', '-x+1/2, x+1/2, -z+1/2', 'x+1/2, -x+1/2, -z+1/2', 'z+1/2, x+1/2, x+1/2', 'z+1/2, -x+1/2, -x+1/2', '-z+1/2, -x+1/2, x+1/2', '-z+1/2, x+1/2, -x+1/2', 'x+1/2, z+1/2, x+1/2', '-x+1/2, z+1/2, -x+1/2', 'x+1/2, -z+1/2, -x+1/2', '-x+1/2, -z+1/2, x+1/2'], ['x, 1/2, 0', '-x, 1/2, 0', '0, x, 1/2', '0, -x, 1/2', '1/2, 0, x', '1/2, 0, -x', '1/2, x, 0', '1/2, -x, 0', 'x, 0, 1/2', '-x, 0, 1/2', '0, 1/2, x', '0, 1/2, -x', 'x+1/2, 1, 1/2', '-x+1/2, 1, 1/2', '1/2, x+1/2, 1', '1/2, -x+1/2, 1', '1, 1/2, x+1/2', '1, 1/2, -x+1/2', '1, x+1/2, 1/2', '1, -x+1/2, 1/2', 'x+1/2, 1/2, 1', '-x+1/2, 1/2, 1', '1/2, 1, x+1/2', '1/2, 1, -x+1/2'], ['x, 0, 0', '-x, 0, 0', '0, x, 0', '0, -x, 0', '0, 0, x', '0, 0, -x', 'x+1/2, 1/2, 1/2', '-x+1/2, 1/2, 1/2', '1/2, x+1/2, 1/2', '1/2, -x+1/2, 1/2', '1/2, 1/2, x+1/2', '1/2, 1/2, -x+1/2'], ['1/4, 1/2, 0', '3/4, 1/2, 0', '0, 1/4, 1/2', '0, 3/4, 1/2', '1/2, 0, 1/4', '1/2, 0, 3/4', '3/4, 1, 1/2', '5/4, 1, 1/2', '1/2, 3/4, 1', '1/2, 5/4, 1', '1, 1/2, 3/4', '1, 1/2, 5/4'], ['x, x, x', '-x, -x, x', '-x, x, -x', 'x, -x, -x', 'x+1/2, x+1/2, x+1/2', '-x+1/2, -x+1/2, x+1/2', '-x+1/2, x+1/2, -x+1/2', 'x+1/2, -x+1/2, -x+1/2'], ['0, 1/2, 1/2', '1/2, 0, 1/2', '1/2, 1/2, 0', '1/2, 1, 1', '1, 1/2, 1', '1, 1, 1/2'], ['0, 0, 0', '1/2, 1/2, 1/2']]\"\n218,\"[['x, y, z', '-x, -y, z', '-x, y, -z', 'x, -y, -z', 'z, x, y', 'z, -x, -y', '-z, -x, y', '-z, x, -y', 'y, z, x', '-y, z, -x', 'y, -z, -x', '-y, -z, x', 'y+1/2, x+1/2, z+1/2', '-y+1/2, -x+1/2, z+1/2', 'y+1/2, -x+1/2, -z+1/2', '-y+1/2, x+1/2, -z+1/2', 'x+1/2, z+1/2, y+1/2', '-x+1/2, z+1/2, -y+1/2', '-x+1/2, -z+1/2, y+1/2', 'x+1/2, -z+1/2, -y+1/2', 'z+1/2, y+1/2, x+1/2', 'z+1/2, -y+1/2, -x+1/2', '-z+1/2, y+1/2, -x+1/2', '-z+1/2, -y+1/2, x+1/2'], ['x, 0, 1/2', '-x, 0, 1/2', '1/2, x, 0', '1/2, -x, 0', '0, 1/2, x', '0, 1/2, -x', '1/2, x+1/2, 0', '1/2, -x+1/2, 0', 'x+1/2, 0, 1/2', '-x+1/2, 0, 1/2', '0, 1/2, x+1/2', '0, 1/2, -x+1/2'], ['x, 1/2, 0', '-x, 1/2, 0', '0, x, 1/2', '0, -x, 1/2', '1/2, 0, x', '1/2, 0, -x', '0, x+1/2, 1/2', '0, -x+1/2, 1/2', 'x+1/2, 1/2, 0', '-x+1/2, 1/2, 0', '1/2, 0, x+1/2', '1/2, 0, -x+1/2'], ['x, 0, 0', '-x, 0, 0', '0, x, 0', '0, -x, 0', '0, 0, x', '0, 0, -x', '1/2, x+1/2, 1/2', '1/2, -x+1/2, 1/2', 'x+1/2, 1/2, 1/2', '-x+1/2, 1/2, 1/2', '1/2, 1/2, x+1/2', '1/2, 1/2, -x+1/2'], ['x, x, x', '-x, -x, x', '-x, x, -x', 'x, -x, -x', 'x+1/2, x+1/2, x+1/2', '-x+1/2, -x+1/2, x+1/2', 'x+1/2, -x+1/2, -x+1/2', '-x+1/2, x+1/2, -x+1/2'], ['1/4, 0, 1/2', '3/4, 0, 1/2', '1/2, 1/4, 0', '1/2, 3/4, 0', '0, 1/2, 1/4', '0, 1/2, 3/4'], ['1/4, 1/2, 0', '3/4, 1/2, 0', '0, 1/4, 1/2', '0, 3/4, 1/2', '1/2, 0, 1/4', '1/2, 0, 3/4'], ['0, 1/2, 1/2', '1/2, 0, 1/2', '1/2, 1/2, 0', '0, 1/2, 0', '1/2, 0, 0', '0, 0, 1/2'], ['0, 0, 0', '1/2, 1/2, 1/2']]\"\n219,\"[['x, y, z', '-x, -y, z', '-x, y, -z', 'x, -y, -z', 'z, x, y', 'z, -x, -y', '-z, -x, y', '-z, x, -y', 'y, z, x', '-y, z, -x', 'y, -z, -x', '-y, -z, x', 'y+1/2, x+1/2, z+1/2', '-y+1/2, -x+1/2, z+1/2', 'y+1/2, -x+1/2, -z+1/2', '-y+1/2, x+1/2, -z+1/2', 'x+1/2, z+1/2, y+1/2', '-x+1/2, z+1/2, -y+1/2', '-x+1/2, -z+1/2, y+1/2', 'x+1/2, -z+1/2, -y+1/2', 'z+1/2, y+1/2, x+1/2', 'z+1/2, -y+1/2, -x+1/2', '-z+1/2, y+1/2, -x+1/2', '-z+1/2, -y+1/2, x+1/2', 'x, y+1/2, z+1/2', '-x, -y+1/2, z+1/2', '-x, y+1/2, -z+1/2', 'x, -y+1/2, -z+1/2', 'z, x+1/2, y+1/2', 'z, -x+1/2, -y+1/2', '-z, -x+1/2, y+1/2', '-z, x+1/2, -y+1/2', 'y, z+1/2, x+1/2', '-y, z+1/2, -x+1/2', 'y, -z+1/2, -x+1/2', '-y, -z+1/2, x+1/2', 'y+1/2, x+1, z+1', '-y+1/2, -x+1, z+1', 'y+1/2, -x+1, -z+1', '-y+1/2, x+1, -z+1', 'x+1/2, z+1, y+1', '-x+1/2, z+1, -y+1', '-x+1/2, -z+1, y+1', 'x+1/2, -z+1, -y+1', 'z+1/2, y+1, x+1', 'z+1/2, -y+1, -x+1', '-z+1/2, y+1, -x+1', '-z+1/2, -y+1, x+1', 'x+1/2, y, z+1/2', '-x+1/2, -y, z+1/2', '-x+1/2, y, -z+1/2', 'x+1/2, -y, -z+1/2', 'z+1/2, x, y+1/2', 'z+1/2, -x, -y+1/2', '-z+1/2, -x, y+1/2', '-z+1/2, x, -y+1/2', 'y+1/2, z, x+1/2', '-y+1/2, z, -x+1/2', 'y+1/2, -z, -x+1/2', '-y+1/2, -z, x+1/2', 'y+1, x+1/2, z+1', '-y+1, -x+1/2, z+1', 'y+1, -x+1/2, -z+1', '-y+1, x+1/2, -z+1', 'x+1, z+1/2, y+1', '-x+1, z+1/2, -y+1', '-x+1, -z+1/2, y+1', 'x+1, -z+1/2, -y+1', 'z+1, y+1/2, x+1', 'z+1, -y+1/2, -x+1', '-z+1, y+1/2, -x+1', '-z+1, -y+1/2, x+1', 'x+1/2, y+1/2, z', '-x+1/2, -y+1/2, z', '-x+1/2, y+1/2, -z', 'x+1/2, -y+1/2, -z', 'z+1/2, x+1/2, y', 'z+1/2, -x+1/2, -y', '-z+1/2, -x+1/2, y', '-z+1/2, x+1/2, -y', 'y+1/2, z+1/2, x', '-y+1/2, z+1/2, -x', 'y+1/2, -z+1/2, -x', '-y+1/2, -z+1/2, x', 'y+1, x+1, z+1/2', '-y+1, -x+1, z+1/2', 'y+1, -x+1, -z+1/2', '-y+1, x+1, -z+1/2', 'x+1, z+1, y+1/2', '-x+1, z+1, -y+1/2', '-x+1, -z+1, y+1/2', 'x+1, -z+1, -y+1/2', 'z+1, y+1, x+1/2', 'z+1, -y+1, -x+1/2', '-z+1, y+1, -x+1/2', '-z+1, -y+1, x+1/2'], ['x, 1/4, 1/4', '-x, 3/4, 1/4', '1/4, x, 1/4', '1/4, -x, 3/4', '1/4, 1/4, x', '3/4, 1/4, -x', '3/4, x+1/2, 3/4', '1/4, -x+1/2, 3/4', 'x+1/2, 3/4, 3/4', '-x+1/2, 3/4, 1/4', '3/4, 3/4, x+1/2', '3/4, 1/4, -x+1/2', 'x, 3/4, 3/4', '-x, 5/4, 3/4', '1/4, x+1/2, 3/4', '1/4, -x+1/2, 5/4', '1/4, 3/4, x+1/2', '3/4, 3/4, -x+1/2', '3/4, x+1, 5/4', '1/4, -x+1, 5/4', 'x+1/2, 5/4, 5/4', '-x+1/2, 5/4, 3/4', '3/4, 5/4, x+1', '3/4, 3/4, -x+1', 'x+1/2, 1/4, 3/4', '-x+1/2, 3/4, 3/4', '3/4, x, 3/4', '3/4, -x, 5/4', '3/4, 1/4, x+1/2', '5/4, 1/4, -x+1/2', '5/4, x+1/2, 5/4', '3/4, -x+1/2, 5/4', 'x+1, 3/4, 5/4', '-x+1, 3/4, 3/4', '5/4, 3/4, x+1', '5/4, 1/4, -x+1', 'x+1/2, 3/4, 1/4', '-x+1/2, 5/4, 1/4', '3/4, x+1/2, 1/4', '3/4, -x+1/2, 3/4', '3/4, 3/4, x', '5/4, 3/4, -x', '5/4, x+1, 3/4', '3/4, -x+1, 3/4', 'x+1, 5/4, 3/4', '-x+1, 5/4, 1/4', '5/4, 5/4, x+1/2', '5/4, 3/4, -x+1/2'], ['x, 0, 0', '-x, 0, 0', '0, x, 0', '0, -x, 0', '0, 0, x', '0, 0, -x', '1/2, x+1/2, 1/2', '1/2, -x+1/2, 1/2', 'x+1/2, 1/2, 1/2', '-x+1/2, 1/2, 1/2', '1/2, 1/2, x+1/2', '1/2, 1/2, -x+1/2', 'x, 1/2, 1/2', '-x, 1/2, 1/2', '0, x+1/2, 1/2', '0, -x+1/2, 1/2', '0, 1/2, x+1/2', '0, 1/2, -x+1/2', '1/2, x+1, 1', '1/2, -x+1, 1', 'x+1/2, 1, 1', '-x+1/2, 1, 1', '1/2, 1, x+1', '1/2, 1, -x+1', 'x+1/2, 0, 1/2', '-x+1/2, 0, 1/2', '1/2, x, 1/2', '1/2, -x, 1/2', '1/2, 0, x+1/2', '1/2, 0, -x+1/2', '1, x+1/2, 1', '1, -x+1/2, 1', 'x+1, 1/2, 1', '-x+1, 1/2, 1', '1, 1/2, x+1', '1, 1/2, -x+1', 'x+1/2, 1/2, 0', '-x+1/2, 1/2, 0', '1/2, x+1/2, 0', '1/2, -x+1/2, 0', '1/2, 1/2, x', '1/2, 1/2, -x', '1, x+1, 1/2', '1, -x+1, 1/2', 'x+1, 1, 1/2', '-x+1, 1, 1/2', '1, 1, x+1/2', '1, 1, -x+1/2'], ['x, x, x', '-x, -x, x', '-x, x, -x', 'x, -x, -x', 'x+1/2, x+1/2, x+1/2', '-x+1/2, -x+1/2, x+1/2', 'x+1/2, -x+1/2, -x+1/2', '-x+1/2, x+1/2, -x+1/2', 'x, x+1/2, x+1/2', '-x, -x+1/2, x+1/2', '-x, x+1/2, -x+1/2', 'x, -x+1/2, -x+1/2', 'x+1/2, x+1, x+1', '-x+1/2, -x+1, x+1', 'x+1/2, -x+1, -x+1', '-x+1/2, x+1, -x+1', 'x+1/2, x, x+1/2', '-x+1/2, -x, x+1/2', '-x+1/2, x, -x+1/2', 'x+1/2, -x, -x+1/2', 'x+1, x+1/2, x+1', '-x+1, -x+1/2, x+1', 'x+1, -x+1/2, -x+1', '-x+1, x+1/2, -x+1', 'x+1/2, x+1/2, x', '-x+1/2, -x+1/2, x', '-x+1/2, x+1/2, -x', 'x+1/2, -x+1/2, -x', 'x+1, x+1, x+1/2', '-x+1, -x+1, x+1/2', 'x+1, -x+1, -x+1/2', '-x+1, x+1, -x+1/2'], ['1/4, 0, 0', '3/4, 0, 0', '0, 1/4, 0', '0, 3/4, 0', '0, 0, 1/4', '0, 0, 3/4', '1/4, 1/2, 1/2', '3/4, 1/2, 1/2', '0, 3/4, 1/2', '0, 5/4, 1/2', '0, 1/2, 3/4', '0, 1/2, 5/4', '3/4, 0, 1/2', '5/4, 0, 1/2', '1/2, 1/4, 1/2', '1/2, 3/4, 1/2', '1/2, 0, 3/4', '1/2, 0, 5/4', '3/4, 1/2, 0', '5/4, 1/2, 0', '1/2, 3/4, 0', '1/2, 5/4, 0', '1/2, 1/2, 1/4', '1/2, 1/2, 3/4'], ['0, 1/4, 1/4', '0, 3/4, 1/4', '1/4, 0, 1/4', '1/4, 0, 3/4', '1/4, 1/4, 0', '3/4, 1/4, 0', '0, 3/4, 3/4', '0, 5/4, 3/4', '1/4, 1/2, 3/4', '1/4, 1/2, 5/4', '1/4, 3/4, 1/2', '3/4, 3/4, 1/2', '1/2, 1/4, 3/4', '1/2, 3/4, 3/4', '3/4, 0, 3/4', '3/4, 0, 5/4', '3/4, 1/4, 1/2', '5/4, 1/4, 1/2', '1/2, 3/4, 1/4', '1/2, 5/4, 1/4', '3/4, 1/2, 1/4', '3/4, 1/2, 3/4', '3/4, 3/4, 0', '5/4, 3/4, 0'], ['1/4, 1/4, 1/4', '3/4, 3/4, 3/4', '1/4, 3/4, 3/4', '3/4, 5/4, 5/4', '3/4, 1/4, 3/4', '5/4, 3/4, 5/4', '3/4, 3/4, 1/4', '5/4, 5/4, 3/4'], ['0, 0, 0', '1/2, 1/2, 1/2', '0, 1/2, 1/2', '1/2, 1, 1', '1/2, 0, 1/2', '1, 1/2, 1', '1/2, 1/2, 0', '1, 1, 1/2']]\"\n220,\"[['x, y, z', '-x+1/2, -y, z+1/2', '-x, y+1/2, -z+1/2', 'x+1/2, -y+1/2, -z', 'z, x, y', 'z+1/2, -x+1/2, -y', '-z+1/2, -x, y+1/2', '-z, x+1/2, -y+1/2', 'y, z, x', '-y, z+1/2, -x+1/2', 'y+1/2, -z+1/2, -x', '-y+1/2, -z, x+1/2', 'y+1/4, x+1/4, z+1/4', '-y+1/4, -x+3/4, z+3/4', 'y+3/4, -x+1/4, -z+3/4', '-y+3/4, x+3/4, -z+1/4', 'x+1/4, z+1/4, y+1/4', '-x+3/4, z+3/4, -y+1/4', '-x+1/4, -z+3/4, y+3/4', 'x+3/4, -z+1/4, -y+3/4', 'z+1/4, y+1/4, x+1/4', 'z+3/4, -y+1/4, -x+3/4', '-z+3/4, y+3/4, -x+1/4', '-z+1/4, -y+3/4, x+3/4', 'x+1/2, y+1/2, z+1/2', '-x+1, -y+1/2, z+1', '-x+1/2, y+1, -z+1', 'x+1, -y+1, -z+1/2', 'z+1/2, x+1/2, y+1/2', 'z+1, -x+1, -y+1/2', '-z+1, -x+1/2, y+1', '-z+1/2, x+1, -y+1', 'y+1/2, z+1/2, x+1/2', '-y+1/2, z+1, -x+1', 'y+1, -z+1, -x+1/2', '-y+1, -z+1/2, x+1', 'y+3/4, x+3/4, z+3/4', '-y+3/4, -x+5/4, z+5/4', 'y+5/4, -x+3/4, -z+5/4', '-y+5/4, x+5/4, -z+3/4', 'x+3/4, z+3/4, y+3/4', '-x+5/4, z+5/4, -y+3/4', '-x+3/4, -z+5/4, y+5/4', 'x+5/4, -z+3/4, -y+5/4', 'z+3/4, y+3/4, x+3/4', 'z+5/4, -y+3/4, -x+5/4', '-z+5/4, y+5/4, -x+3/4', '-z+3/4, -y+5/4, x+5/4'], ['x, 0, 1/4', '-x+1/2, 0, 3/4', '1/4, x, 0', '3/4, -x+1/2, 0', '0, 1/4, x', '0, 3/4, -x+1/2', '1/4, x+1/4, 1/2', '1/4, -x+3/4, 0', 'x+1/4, 1/2, 1/4', '-x+3/4, 0, 1/4', '1/2, 1/4, x+1/4', '0, 1/4, -x+3/4', 'x+1/2, 1/2, 3/4', '-x+1, 1/2, 5/4', '3/4, x+1/2, 1/2', '5/4, -x+1, 1/2', '1/2, 3/4, x+1/2', '1/2, 5/4, -x+1', '3/4, x+3/4, 1', '3/4, -x+5/4, 1/2', 'x+3/4, 1, 3/4', '-x+5/4, 1/2, 3/4', '1, 3/4, x+3/4', '1/2, 3/4, -x+5/4'], ['x, x, x', '-x+1/2, -x, x+1/2', '-x, x+1/2, -x+1/2', 'x+1/2, -x+1/2, -x', 'x+1/4, x+1/4, x+1/4', '-x+1/4, -x+3/4, x+3/4', 'x+3/4, -x+1/4, -x+3/4', '-x+3/4, x+3/4, -x+1/4', 'x+1/2, x+1/2, x+1/2', '-x+1, -x+1/2, x+1', '-x+1/2, x+1, -x+1', 'x+1, -x+1, -x+1/2', 'x+3/4, x+3/4, x+3/4', '-x+3/4, -x+5/4, x+5/4', 'x+5/4, -x+3/4, -x+5/4', '-x+5/4, x+5/4, -x+3/4'], ['7/8, 0, 1/4', '5/8, 0, 3/4', '1/4, 7/8, 0', '3/4, 5/8, 0', '0, 1/4, 7/8', '0, 3/4, 5/8', '11/8, 1/2, 3/4', '9/8, 1/2, 5/4', '3/4, 11/8, 1/2', '5/4, 9/8, 1/2', '1/2, 3/4, 11/8', '1/2, 5/4, 9/8'], ['3/8, 0, 1/4', '1/8, 0, 3/4', '1/4, 3/8, 0', '3/4, 1/8, 0', '0, 1/4, 3/8', '0, 3/4, 1/8', '7/8, 1/2, 3/4', '5/8, 1/2, 5/4', '3/4, 7/8, 1/2', '5/4, 5/8, 1/2', '1/2, 3/4, 7/8', '1/2, 5/4, 5/8']]\"\n221,\"[['x, y, z', '-x, -y, z', '-x, y, -z', 'x, -y, -z', 'z, x, y', 'z, -x, -y', '-z, -x, y', '-z, x, -y', 'y, z, x', '-y, z, -x', 'y, -z, -x', '-y, -z, x', 'y, x, -z', '-y, -x, -z', 'y, -x, z', '-y, x, z', 'x, z, -y', '-x, z, y', '-x, -z, -y', 'x, -z, y', 'z, y, -x', 'z, -y, x', '-z, y, x', '-z, -y, -x', '-x, -y, -z', 'x, y, -z', 'x, -y, z', '-x, y, z', '-z, -x, -y', '-z, x, y', 'z, x, -y', 'z, -x, y', '-y, -z, -x', 'y, -z, x', '-y, z, x', 'y, z, -x', '-y, -x, z', 'y, x, z', '-y, x, -z', 'y, -x, -z', '-x, -z, y', 'x, -z, -y', 'x, z, y', '-x, z, -y', '-z, -y, x', '-z, y, -x', 'z, -y, -x', 'z, y, x'], ['x, x, z', '-x, -x, z', '-x, x, -z', 'x, -x, -z', 'z, x, x', 'z, -x, -x', '-z, -x, x', '-z, x, -x', 'x, z, x', '-x, z, -x', 'x, -z, -x', '-x, -z, x', 'x, x, -z', '-x, -x, -z', 'x, -x, z', '-x, x, z', 'x, z, -x', '-x, z, x', '-x, -z, -x', 'x, -z, x', 'z, x, -x', 'z, -x, x', '-z, x, x', '-z, -x, -x'], ['1/2, y, z', '1/2, -y, z', '1/2, y, -z', '1/2, -y, -z', 'z, 1/2, y', 'z, 1/2, -y', '-z, 1/2, y', '-z, 1/2, -y', 'y, z, 1/2', '-y, z, 1/2', 'y, -z, 1/2', '-y, -z, 1/2', 'y, 1/2, -z', '-y, 1/2, -z', 'y, 1/2, z', '-y, 1/2, z', '1/2, z, -y', '1/2, z, y', '1/2, -z, -y', '1/2, -z, y', 'z, y, 1/2', 'z, -y, 1/2', '-z, y, 1/2', '-z, -y, 1/2'], ['0, y, z', '0, -y, z', '0, y, -z', '0, -y, -z', 'z, 0, y', 'z, 0, -y', '-z, 0, y', '-z, 0, -y', 'y, z, 0', '-y, z, 0', 'y, -z, 0', '-y, -z, 0', 'y, 0, -z', '-y, 0, -z', 'y, 0, z', '-y, 0, z', '0, z, -y', '0, z, y', '0, -z, -y', '0, -z, y', 'z, y, 0', 'z, -y, 0', '-z, y, 0', '-z, -y, 0'], ['1/2, y, y', '1/2, -y, y', '1/2, y, -y', '1/2, -y, -y', 'y, 1/2, y', 'y, 1/2, -y', '-y, 1/2, y', '-y, 1/2, -y', 'y, y, 1/2', '-y, y, 1/2', 'y, -y, 1/2', '-y, -y, 1/2'], ['0, y, y', '0, -y, y', '0, y, -y', '0, -y, -y', 'y, 0, y', 'y, 0, -y', '-y, 0, y', '-y, 0, -y', 'y, y, 0', '-y, y, 0', 'y, -y, 0', '-y, -y, 0'], ['x, 1/2, 0', '-x, 1/2, 0', '0, x, 1/2', '0, -x, 1/2', '1/2, 0, x', '1/2, 0, -x', '1/2, x, 0', '1/2, -x, 0', 'x, 0, 1/2', '-x, 0, 1/2', '0, 1/2, -x', '0, 1/2, x'], ['x, x, x', '-x, -x, x', '-x, x, -x', 'x, -x, -x', 'x, x, -x', '-x, -x, -x', 'x, -x, x', '-x, x, x'], ['x, 1/2, 1/2', '-x, 1/2, 1/2', '1/2, x, 1/2', '1/2, -x, 1/2', '1/2, 1/2, x', '1/2, 1/2, -x'], ['x, 0, 0', '-x, 0, 0', '0, x, 0', '0, -x, 0', '0, 0, x', '0, 0, -x'], ['1/2, 0, 0', '0, 1/2, 0', '0, 0, 1/2'], ['0, 1/2, 1/2', '1/2, 0, 1/2', '1/2, 1/2, 0'], ['1/2, 1/2, 1/2'], ['0, 0, 0']]\"\n222,\"[['x, y, z', '-x+1/2, -y+1/2, z', '-x+1/2, y, -z+1/2', 'x, -y+1/2, -z+1/2', 'z, x, y', 'z, -x+1/2, -y+1/2', '-z+1/2, -x+1/2, y', '-z+1/2, x, -y+1/2', 'y, z, x', '-y+1/2, z, -x+1/2', 'y, -z+1/2, -x+1/2', '-y+1/2, -z+1/2, x', 'y, x, -z+1/2', '-y+1/2, -x+1/2, -z+1/2', 'y, -x+1/2, z', '-y+1/2, x, z', 'x, z, -y+1/2', '-x+1/2, z, y', '-x+1/2, -z+1/2, -y+1/2', 'x, -z+1/2, y', 'z, y, -x+1/2', 'z, -y+1/2, x', '-z+1/2, y, x', '-z+1/2, -y+1/2, -x+1/2', '-x, -y, -z', 'x+1/2, y+1/2, -z', 'x+1/2, -y, z+1/2', '-x, y+1/2, z+1/2', '-z, -x, -y', '-z, x+1/2, y+1/2', 'z+1/2, x+1/2, -y', 'z+1/2, -x, y+1/2', '-y, -z, -x', 'y+1/2, -z, x+1/2', '-y, z+1/2, x+1/2', 'y+1/2, z+1/2, -x', '-y, -x, z+1/2', 'y+1/2, x+1/2, z+1/2', '-y, x+1/2, -z', 'y+1/2, -x, -z', '-x, -z, y+1/2', 'x+1/2, -z, -y', 'x+1/2, z+1/2, y+1/2', '-x, z+1/2, -y', '-z, -y, x+1/2', '-z, y+1/2, -x', 'z+1/2, -y, -x', 'z+1/2, y+1/2, x+1/2'], ['1/4, y, y', '1/4, -y+1/2, y', '1/4, y, -y+1/2', '1/4, -y+1/2, -y+1/2', 'y, 1/4, y', 'y, 1/4, -y+1/2', '-y+1/2, 1/4, y', '-y+1/2, 1/4, -y+1/2', 'y, y, 1/4', '-y+1/2, y, 1/4', 'y, -y+1/2, 1/4', '-y+1/2, -y+1/2, 1/4', '3/4, -y, -y', '3/4, y+1/2, -y', '3/4, -y, y+1/2', '3/4, y+1/2, y+1/2', '-y, 3/4, -y', '-y, 3/4, y+1/2', 'y+1/2, 3/4, -y', 'y+1/2, 3/4, y+1/2', '-y, -y, 3/4', 'y+1/2, -y, 3/4', '-y, y+1/2, 3/4', 'y+1/2, y+1/2, 3/4'], ['x, 3/4, 1/4', '-x+1/2, 3/4, 1/4', '1/4, x, 3/4', '1/4, -x+1/2, 3/4', '3/4, 1/4, x', '3/4, 1/4, -x+1/2', '3/4, x, 1/4', '3/4, -x+1/2, 1/4', 'x, 1/4, 3/4', '-x+1/2, 1/4, 3/4', '1/4, 3/4, -x+1/2', '1/4, 3/4, x', '-x, 1/4, 3/4', 'x+1/2, 1/4, 3/4', '3/4, -x, 1/4', '3/4, x+1/2, 1/4', '1/4, 3/4, -x', '1/4, 3/4, x+1/2', '1/4, -x, 3/4', '1/4, x+1/2, 3/4', '-x, 3/4, 1/4', 'x+1/2, 3/4, 1/4', '3/4, 1/4, x+1/2', '3/4, 1/4, -x'], ['x, x, x', '-x+1/2, -x+1/2, x', '-x+1/2, x, -x+1/2', 'x, -x+1/2, -x+1/2', 'x, x, -x+1/2', '-x+1/2, -x+1/2, -x+1/2', 'x, -x+1/2, x', '-x+1/2, x, x', '-x, -x, -x', 'x+1/2, x+1/2, -x', 'x+1/2, -x, x+1/2', '-x, x+1/2, x+1/2', '-x, -x, x+1/2', 'x+1/2, x+1/2, x+1/2', '-x, x+1/2, -x', 'x+1/2, -x, -x'], ['x, 1/4, 1/4', '-x+1/2, 1/4, 1/4', '1/4, x, 1/4', '1/4, -x+1/2, 1/4', '1/4, 1/4, x', '1/4, 1/4, -x+1/2', '-x, 3/4, 3/4', 'x+1/2, 3/4, 3/4', '3/4, -x, 3/4', '3/4, x+1/2, 3/4', '3/4, 3/4, -x', '3/4, 3/4, x+1/2'], ['0, 3/4, 1/4', '1/2, 3/4, 1/4', '1/4, 0, 3/4', '1/4, 1/2, 3/4', '3/4, 1/4, 0', '3/4, 1/4, 1/2', '3/4, 0, 1/4', '3/4, 1/2, 1/4', '0, 1/4, 3/4', '1/2, 1/4, 3/4', '1/4, 3/4, 1/2', '1/4, 3/4, 0'], ['0, 0, 0', '1/2, 1/2, 0', '1/2, 0, 1/2', '0, 1/2, 1/2', '0, 0, 1/2', '1/2, 1/2, 1/2', '0, 1/2, 0', '1/2, 0, 0'], ['3/4, 1/4, 1/4', '1/4, 3/4, 1/4', '1/4, 1/4, 3/4', '1/4, 3/4, 3/4', '3/4, 1/4, 3/4', '3/4, 3/4, 1/4'], ['1/4, 1/4, 1/4', '3/4, 3/4, 3/4']]\"\n223,\"[['x, y, z', '-x, -y, z', '-x, y, -z', 'x, -y, -z', 'z, x, y', 'z, -x, -y', '-z, -x, y', '-z, x, -y', 'y, z, x', '-y, z, -x', 'y, -z, -x', '-y, -z, x', 'y+1/2, x+1/2, -z+1/2', '-y+1/2, -x+1/2, -z+1/2', 'y+1/2, -x+1/2, z+1/2', '-y+1/2, x+1/2, z+1/2', 'x+1/2, z+1/2, -y+1/2', '-x+1/2, z+1/2, y+1/2', '-x+1/2, -z+1/2, -y+1/2', 'x+1/2, -z+1/2, y+1/2', 'z+1/2, y+1/2, -x+1/2', 'z+1/2, -y+1/2, x+1/2', '-z+1/2, y+1/2, x+1/2', '-z+1/2, -y+1/2, -x+1/2', '-x, -y, -z', 'x, y, -z', 'x, -y, z', '-x, y, z', '-z, -x, -y', '-z, x, y', 'z, x, -y', 'z, -x, y', '-y, -z, -x', 'y, -z, x', '-y, z, x', 'y, z, -x', '-y+1/2, -x+1/2, z+1/2', 'y+1/2, x+1/2, z+1/2', '-y+1/2, x+1/2, -z+1/2', 'y+1/2, -x+1/2, -z+1/2', '-x+1/2, -z+1/2, y+1/2', 'x+1/2, -z+1/2, -y+1/2', 'x+1/2, z+1/2, y+1/2', '-x+1/2, z+1/2, -y+1/2', '-z+1/2, -y+1/2, x+1/2', '-z+1/2, y+1/2, -x+1/2', 'z+1/2, -y+1/2, -x+1/2', 'z+1/2, y+1/2, x+1/2'], ['0, y, z', '0, -y, z', '0, y, -z', '0, -y, -z', 'z, 0, y', 'z, 0, -y', '-z, 0, y', '-z, 0, -y', 'y, z, 0', '-y, z, 0', 'y, -z, 0', '-y, -z, 0', 'y+1/2, 1/2, -z+1/2', '-y+1/2, 1/2, -z+1/2', 'y+1/2, 1/2, z+1/2', '-y+1/2, 1/2, z+1/2', '1/2, z+1/2, -y+1/2', '1/2, z+1/2, y+1/2', '1/2, -z+1/2, -y+1/2', '1/2, -z+1/2, y+1/2', 'z+1/2, y+1/2, 1/2', 'z+1/2, -y+1/2, 1/2', '-z+1/2, y+1/2, 1/2', '-z+1/2, -y+1/2, 1/2'], ['1/4, y, y+1/2', '3/4, -y, y+1/2', '3/4, y, -y+1/2', '1/4, -y, -y+1/2', 'y+1/2, 1/4, y', 'y+1/2, 3/4, -y', '-y+1/2, 3/4, y', '-y+1/2, 1/4, -y', 'y, y+1/2, 1/4', '-y, y+1/2, 3/4', 'y, -y+1/2, 3/4', '-y, -y+1/2, 1/4', '3/4, -y, -y+1/2', '1/4, y, -y+1/2', '1/4, -y, y+1/2', '3/4, y, y+1/2', '-y+1/2, 3/4, -y', '-y+1/2, 1/4, y', 'y+1/2, 1/4, -y', 'y+1/2, 3/4, y', '-y, -y+1/2, 3/4', 'y, -y+1/2, 1/4', '-y, y+1/2, 1/4', 'y, y+1/2, 3/4'], ['x, x, x', '-x, -x, x', '-x, x, -x', 'x, -x, -x', 'x+1/2, x+1/2, -x+1/2', '-x+1/2, -x+1/2, -x+1/2', 'x+1/2, -x+1/2, x+1/2', '-x+1/2, x+1/2, x+1/2', '-x, -x, -x', 'x, x, -x', 'x, -x, x', '-x, x, x', '-x+1/2, -x+1/2, x+1/2', 'x+1/2, x+1/2, x+1/2', '-x+1/2, x+1/2, -x+1/2', 'x+1/2, -x+1/2, -x+1/2'], ['x, 1/2, 0', '-x, 1/2, 0', '0, x, 1/2', '0, -x, 1/2', '1/2, 0, x', '1/2, 0, -x', '0, x+1/2, 1/2', '0, -x+1/2, 1/2', 'x+1/2, 1/2, 0', '-x+1/2, 1/2, 0', '1/2, 0, -x+1/2', '1/2, 0, x+1/2'], ['x, 0, 1/2', '-x, 0, 1/2', '1/2, x, 0', '1/2, -x, 0', '0, 1/2, x', '0, 1/2, -x', '1/2, x+1/2, 0', '1/2, -x+1/2, 0', 'x+1/2, 0, 1/2', '-x+1/2, 0, 1/2', '0, 1/2, -x+1/2', '0, 1/2, x+1/2'], ['x, 0, 0', '-x, 0, 0', '0, x, 0', '0, -x, 0', '0, 0, x', '0, 0, -x', '1/2, x+1/2, 1/2', '1/2, -x+1/2, 1/2', 'x+1/2, 1/2, 1/2', '-x+1/2, 1/2, 1/2', '1/2, 1/2, -x+1/2', '1/2, 1/2, x+1/2'], ['1/4, 1/4, 1/4', '3/4, 3/4, 1/4', '3/4, 1/4, 3/4', '1/4, 3/4, 3/4', '3/4, 3/4, 3/4', '1/4, 1/4, 3/4', '1/4, 3/4, 1/4', '3/4, 1/4, 1/4'], ['1/4, 1/2, 0', '3/4, 1/2, 0', '0, 1/4, 1/2', '0, 3/4, 1/2', '1/2, 0, 1/4', '1/2, 0, 3/4'], ['1/4, 0, 1/2', '3/4, 0, 1/2', '1/2, 1/4, 0', '1/2, 3/4, 0', '0, 1/2, 1/4', '0, 1/2, 3/4'], ['0, 1/2, 1/2', '1/2, 0, 1/2', '1/2, 1/2, 0', '0, 1/2, 0', '1/2, 0, 0', '0, 0, 1/2'], ['0, 0, 0', '1/2, 1/2, 1/2']]\"\n224,\"[['x, y, z', '-x+1/2, -y+1/2, z', '-x+1/2, y, -z+1/2', 'x, -y+1/2, -z+1/2', 'z, x, y', 'z, -x+1/2, -y+1/2', '-z+1/2, -x+1/2, y', '-z+1/2, x, -y+1/2', 'y, z, x', '-y+1/2, z, -x+1/2', 'y, -z+1/2, -x+1/2', '-y+1/2, -z+1/2, x', 'y+1/2, x+1/2, -z', '-y, -x, -z', 'y+1/2, -x, z+1/2', '-y, x+1/2, z+1/2', 'x+1/2, z+1/2, -y', '-x, z+1/2, y+1/2', '-x, -z, -y', 'x+1/2, -z, y+1/2', 'z+1/2, y+1/2, -x', 'z+1/2, -y, x+1/2', '-z, y+1/2, x+1/2', '-z, -y, -x', '-x, -y, -z', 'x+1/2, y+1/2, -z', 'x+1/2, -y, z+1/2', '-x, y+1/2, z+1/2', '-z, -x, -y', '-z, x+1/2, y+1/2', 'z+1/2, x+1/2, -y', 'z+1/2, -x, y+1/2', '-y, -z, -x', 'y+1/2, -z, x+1/2', '-y, z+1/2, x+1/2', 'y+1/2, z+1/2, -x', '-y+1/2, -x+1/2, z', 'y, x, z', '-y+1/2, x, -z+1/2', 'y, -x+1/2, -z+1/2', '-x+1/2, -z+1/2, y', 'x, -z+1/2, -y+1/2', 'x, z, y', '-x+1/2, z, -y+1/2', '-z+1/2, -y+1/2, x', '-z+1/2, y, -x+1/2', 'z, -y+1/2, -x+1/2', 'z, y, x'], ['x, x, z', '-x+1/2, -x+1/2, z', '-x+1/2, x, -z+1/2', 'x, -x+1/2, -z+1/2', 'z, x, x', 'z, -x+1/2, -x+1/2', '-z+1/2, -x+1/2, x', '-z+1/2, x, -x+1/2', 'x, z, x', '-x+1/2, z, -x+1/2', 'x, -z+1/2, -x+1/2', '-x+1/2, -z+1/2, x', 'x+1/2, x+1/2, -z', '-x, -x, -z', 'x+1/2, -x, z+1/2', '-x, x+1/2, z+1/2', 'x+1/2, z+1/2, -x', '-x, z+1/2, x+1/2', '-x, -z, -x', 'x+1/2, -z, x+1/2', 'z+1/2, x+1/2, -x', 'z+1/2, -x, x+1/2', '-z, x+1/2, x+1/2', '-z, -x, -x'], ['1/2, y, -y', '0, -y+1/2, -y', '0, y, y+1/2', '1/2, -y+1/2, y+1/2', '-y, 1/2, y', '-y, 0, -y+1/2', 'y+1/2, 0, y', 'y+1/2, 1/2, -y+1/2', 'y, -y, 1/2', '-y+1/2, -y, 0', 'y, y+1/2, 0', '-y+1/2, y+1/2, 1/2', '1/2, -y, y', '0, y+1/2, y', '0, -y, -y+1/2', '1/2, y+1/2, -y+1/2', 'y, 1/2, -y', 'y, 0, y+1/2', '-y+1/2, 0, -y', '-y+1/2, 1/2, y+1/2', '-y, y, 1/2', 'y+1/2, y, 0', '-y, -y+1/2, 0', 'y+1/2, -y+1/2, 1/2'], ['1/2, y, y+1/2', '0, -y+1/2, y+1/2', '0, y, -y', '1/2, -y+1/2, -y', 'y+1/2, 1/2, y', 'y+1/2, 0, -y+1/2', '-y, 0, y', '-y, 1/2, -y+1/2', 'y, y+1/2, 1/2', '-y+1/2, y+1/2, 0', 'y, -y, 0', '-y+1/2, -y, 1/2', '1/2, -y, -y+1/2', '0, y+1/2, -y+1/2', '0, -y, y', '1/2, y+1/2, y', '-y+1/2, 1/2, -y', '-y+1/2, 0, y+1/2', 'y, 0, -y', 'y, 1/2, y+1/2', '-y, -y+1/2, 1/2', 'y+1/2, -y+1/2, 0', '-y, y, 0', 'y+1/2, y, 1/2'], ['x, 1/4, 3/4', '-x+1/2, 1/4, 3/4', '3/4, x, 1/4', '3/4, -x+1/2, 1/4', '1/4, 3/4, x', '1/4, 3/4, -x+1/2', '3/4, x+1/2, 1/4', '3/4, -x, 1/4', 'x+1/2, 1/4, 3/4', '-x, 1/4, 3/4', '1/4, 3/4, -x', '1/4, 3/4, x+1/2', '-x, 3/4, 1/4', 'x+1/2, 3/4, 1/4', '1/4, -x, 3/4', '1/4, x+1/2, 3/4', '3/4, 1/4, -x', '3/4, 1/4, x+1/2', '1/4, -x+1/2, 3/4', '1/4, x, 3/4', '-x+1/2, 3/4, 1/4', 'x, 3/4, 1/4', '3/4, 1/4, x', '3/4, 1/4, -x+1/2'], ['x, 1/4, 1/4', '-x+1/2, 1/4, 1/4', '1/4, x, 1/4', '1/4, -x+1/2, 1/4', '1/4, 1/4, x', '1/4, 1/4, -x+1/2', '3/4, x+1/2, 3/4', '3/4, -x, 3/4', 'x+1/2, 3/4, 3/4', '-x, 3/4, 3/4', '3/4, 3/4, -x', '3/4, 3/4, x+1/2'], ['1/2, 1/4, 3/4', '0, 1/4, 3/4', '3/4, 1/2, 1/4', '3/4, 0, 1/4', '1/4, 3/4, 1/2', '1/4, 3/4, 0', '1/2, 3/4, 1/4', '0, 3/4, 1/4', '1/4, 1/2, 3/4', '1/4, 0, 3/4', '3/4, 1/4, 1/2', '3/4, 1/4, 0'], ['x, x, x', '-x+1/2, -x+1/2, x', '-x+1/2, x, -x+1/2', 'x, -x+1/2, -x+1/2', 'x+1/2, x+1/2, -x', '-x, -x, -x', 'x+1/2, -x, x+1/2', '-x, x+1/2, x+1/2'], ['1/4, 3/4, 3/4', '3/4, 1/4, 3/4', '3/4, 3/4, 1/4', '1/4, 3/4, 1/4', '3/4, 1/4, 1/4', '1/4, 1/4, 3/4'], ['1/2, 1/2, 1/2', '0, 0, 1/2', '0, 1/2, 0', '1/2, 0, 0'], ['0, 0, 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-y+1', '5/4, y+1/2, -y+1', 'y+1, 5/4, -y+1/2', 'y+1, 3/4, y+1/2', '-y+1, 3/4, -y+1/2', '-y+1, 5/4, y+1/2', '-y+1/2, y+1, 5/4', 'y+1/2, y+1, 3/4', '-y+1/2, -y+1, 3/4', 'y+1/2, -y+1, 5/4'], ['0, y, y', '0, -y, y', '0, y, -y', '0, -y, -y', 'y, 0, y', 'y, 0, -y', '-y, 0, y', '-y, 0, -y', 'y, y, 0', '-y, y, 0', 'y, -y, 0', '-y, -y, 0', '1/2, y+1/2, y+1/2', '1/2, -y+1/2, y+1/2', '1/2, y+1/2, -y+1/2', '1/2, -y+1/2, -y+1/2', 'y+1/2, 1/2, y+1/2', 'y+1/2, 1/2, -y+1/2', '-y+1/2, 1/2, y+1/2', '-y+1/2, 1/2, -y+1/2', 'y+1/2, y+1/2, 1/2', '-y+1/2, y+1/2, 1/2', 'y+1/2, -y+1/2, 1/2', '-y+1/2, -y+1/2, 1/2'], ['x, 0, 1/2', '-x, 0, 1/2', '1/2, x, 0', '1/2, -x, 0', '0, 1/2, x', '0, 1/2, -x', '0, x, 1/2', '0, -x, 1/2', 'x, 1/2, 0', '-x, 1/2, 0', '1/2, 0, -x', '1/2, 0, x', 'x+1/2, 1/2, 1', '-x+1/2, 1/2, 1', '1, x+1/2, 1/2', '1, -x+1/2, 1/2', '1/2, 1, x+1/2', '1/2, 1, -x+1/2', '1/2, x+1/2, 1', '1/2, -x+1/2, 1', 'x+1/2, 1, 1/2', '-x+1/2, 1, 1/2', '1, 1/2, -x+1/2', '1, 1/2, x+1/2'], ['x, x, x', '-x, -x, x', '-x, x, -x', 'x, -x, -x', 'x, x, -x', '-x, -x, -x', 'x, -x, x', '-x, x, x', 'x+1/2, x+1/2, x+1/2', '-x+1/2, -x+1/2, x+1/2', '-x+1/2, x+1/2, -x+1/2', 'x+1/2, -x+1/2, -x+1/2', 'x+1/2, x+1/2, -x+1/2', '-x+1/2, -x+1/2, -x+1/2', 'x+1/2, -x+1/2, x+1/2', '-x+1/2, x+1/2, x+1/2'], ['x, 0, 0', '-x, 0, 0', '0, x, 0', '0, -x, 0', '0, 0, x', '0, 0, -x', 'x+1/2, 1/2, 1/2', '-x+1/2, 1/2, 1/2', '1/2, x+1/2, 1/2', '1/2, -x+1/2, 1/2', '1/2, 1/2, x+1/2', '1/2, 1/2, -x+1/2'], ['1/4, 0, 1/2', '3/4, 0, 1/2', '1/2, 1/4, 0', '1/2, 3/4, 0', '0, 1/2, 1/4', '0, 1/2, 3/4', '3/4, 1/2, 1', '5/4, 1/2, 1', '1, 3/4, 1/2', '1, 5/4, 1/2', '1/2, 1, 3/4', '1/2, 1, 5/4'], ['1/4, 1/4, 1/4', '3/4, 3/4, 1/4', '3/4, 1/4, 3/4', '1/4, 3/4, 3/4', '3/4, 3/4, 3/4', '5/4, 5/4, 3/4', '5/4, 3/4, 5/4', '3/4, 5/4, 5/4'], ['0, 1/2, 1/2', '1/2, 0, 1/2', '1/2, 1/2, 0', '1/2, 1, 1', '1, 1/2, 1', '1, 1, 1/2'], ['0, 0, 0', '1/2, 1/2, 1/2']]\"\n230,\"[['x, y, z', '-x+1/2, -y, z+1/2', '-x, y+1/2, -z+1/2', 'x+1/2, -y+1/2, -z', 'z, x, y', 'z+1/2, -x+1/2, -y', '-z+1/2, -x, y+1/2', '-z, x+1/2, -y+1/2', 'y, z, x', '-y, z+1/2, -x+1/2', 'y+1/2, -z+1/2, -x', '-y+1/2, -z, x+1/2', 'y+3/4, x+1/4, -z+1/4', '-y+3/4, -x+3/4, -z+3/4', 'y+1/4, -x+1/4, z+3/4', '-y+1/4, x+3/4, z+1/4', 'x+3/4, z+1/4, -y+1/4', '-x+1/4, z+3/4, y+1/4', '-x+3/4, -z+3/4, -y+3/4', 'x+1/4, -z+1/4, y+3/4', 'z+3/4, y+1/4, -x+1/4', 'z+1/4, -y+1/4, x+3/4', '-z+1/4, y+3/4, x+1/4', '-z+3/4, -y+3/4, -x+3/4', '-x, -y, -z', 'x+1/2, y, -z+1/2', 'x, -y+1/2, z+1/2', '-x+1/2, y+1/2, z', '-z, -x, -y', '-z+1/2, x+1/2, y', 'z+1/2, x, -y+1/2', 'z, -x+1/2, y+1/2', '-y, -z, -x', 'y, -z+1/2, x+1/2', '-y+1/2, z+1/2, x', 'y+1/2, z, -x+1/2', '-y+1/4, -x+3/4, z+3/4', 'y+1/4, x+1/4, z+1/4', '-y+3/4, x+3/4, -z+1/4', 'y+3/4, -x+1/4, -z+3/4', '-x+1/4, -z+3/4, y+3/4', 'x+3/4, -z+1/4, -y+3/4', 'x+1/4, z+1/4, y+1/4', '-x+3/4, z+3/4, -y+1/4', '-z+1/4, -y+3/4, x+3/4', '-z+3/4, y+3/4, -x+1/4', 'z+3/4, -y+1/4, -x+3/4', 'z+1/4, y+1/4, x+1/4', 'x+1/2, y+1/2, z+1/2', '-x+1, -y+1/2, z+1', '-x+1/2, y+1, -z+1', 'x+1, -y+1, -z+1/2', 'z+1/2, x+1/2, y+1/2', 'z+1, -x+1, -y+1/2', '-z+1, -x+1/2, y+1', '-z+1/2, x+1, -y+1', 'y+1/2, z+1/2, x+1/2', '-y+1/2, z+1, -x+1', 'y+1, -z+1, -x+1/2', '-y+1, -z+1/2, x+1', 'y+5/4, x+3/4, -z+3/4', '-y+5/4, -x+5/4, -z+5/4', 'y+3/4, -x+3/4, z+5/4', '-y+3/4, x+5/4, z+3/4', 'x+5/4, z+3/4, -y+3/4', '-x+3/4, z+5/4, y+3/4', '-x+5/4, -z+5/4, -y+5/4', 'x+3/4, -z+3/4, y+5/4', 'z+5/4, y+3/4, -x+3/4', 'z+3/4, -y+3/4, x+5/4', '-z+3/4, y+5/4, x+3/4', '-z+5/4, -y+5/4, -x+5/4', '-x+1/2, -y+1/2, -z+1/2', 'x+1, y+1/2, -z+1', 'x+1/2, -y+1, z+1', '-x+1, y+1, z+1/2', '-z+1/2, -x+1/2, -y+1/2', '-z+1, x+1, y+1/2', 'z+1, x+1/2, -y+1', 'z+1/2, -x+1, y+1', '-y+1/2, -z+1/2, -x+1/2', 'y+1/2, -z+1, x+1', '-y+1, z+1, x+1/2', 'y+1, z+1/2, -x+1', '-y+3/4, -x+5/4, z+5/4', 'y+3/4, x+3/4, z+3/4', '-y+5/4, x+5/4, -z+3/4', 'y+5/4, -x+3/4, -z+5/4', '-x+3/4, -z+5/4, y+5/4', 'x+5/4, -z+3/4, -y+5/4', 'x+3/4, z+3/4, y+3/4', '-x+5/4, z+5/4, -y+3/4', '-z+3/4, -y+5/4, x+5/4', '-z+5/4, y+5/4, -x+3/4', 'z+5/4, -y+3/4, -x+5/4', 'z+3/4, y+3/4, x+3/4'], ['1/8, y, -y+1/4', '3/8, -y, -y+3/4', '7/8, y+1/2, y+1/4', '5/8, -y+1/2, y+3/4', '-y+1/4, 1/8, y', '-y+3/4, 3/8, -y', 'y+1/4, 7/8, y+1/2', 'y+3/4, 5/8, -y+1/2', 'y, -y+1/4, 1/8', '-y, -y+3/4, 3/8', 'y+1/2, y+1/4, 7/8', '-y+1/2, y+3/4, 5/8', '7/8, -y, y+3/4', '5/8, y, y+1/4', '1/8, -y+1/2, -y+3/4', '3/8, y+1/2, -y+1/4', 'y+3/4, 7/8, -y', 'y+1/4, 5/8, y', '-y+3/4, 1/8, -y+1/2', '-y+1/4, 3/8, y+1/2', '-y, y+3/4, 7/8', 'y, y+1/4, 5/8', '-y+1/2, -y+3/4, 1/8', 'y+1/2, -y+1/4, 3/8', '5/8, y+1/2, -y+3/4', '7/8, -y+1/2, -y+5/4', '11/8, y+1, y+3/4', '9/8, -y+1, y+5/4', '-y+3/4, 5/8, y+1/2', '-y+5/4, 7/8, -y+1/2', 'y+3/4, 11/8, y+1', 'y+5/4, 9/8, -y+1', 'y+1/2, -y+3/4, 5/8', '-y+1/2, -y+5/4, 7/8', 'y+1, y+3/4, 11/8', '-y+1, y+5/4, 9/8', '11/8, -y+1/2, y+5/4', '9/8, y+1/2, y+3/4', '5/8, -y+1, -y+5/4', '7/8, y+1, -y+3/4', 'y+5/4, 11/8, -y+1/2', 'y+3/4, 9/8, y+1/2', '-y+5/4, 5/8, -y+1', '-y+3/4, 7/8, y+1', '-y+1/2, y+5/4, 11/8', 'y+1/2, y+3/4, 9/8', '-y+1, -y+5/4, 5/8', 'y+1, -y+3/4, 7/8'], ['x, 0, 1/4', '-x+1/2, 0, 3/4', '1/4, x, 0', '3/4, -x+1/2, 0', '0, 1/4, x', '0, 3/4, -x+1/2', '3/4, x+1/4, 0', '3/4, -x+3/4, 1/2', 'x+3/4, 1/2, 1/4', '-x+1/4, 0, 1/4', '0, 1/4, -x+1/4', '1/2, 1/4, x+3/4', '-x, 0, 3/4', 'x+1/2, 0, 1/4', '3/4, -x, 0', '1/4, x+1/2, 0', '0, 3/4, -x', '0, 1/4, x+1/2', '1/4, -x+3/4, 0', '1/4, x+1/4, 1/2', '-x+1/4, 1/2, 3/4', 'x+3/4, 0, 3/4', '0, 3/4, x+3/4', '1/2, 3/4, -x+1/4', 'x+1/2, 1/2, 3/4', '-x+1, 1/2, 5/4', '3/4, x+1/2, 1/2', '5/4, -x+1, 1/2', '1/2, 3/4, x+1/2', '1/2, 5/4, -x+1', '5/4, x+3/4, 1/2', '5/4, -x+5/4, 1', 'x+5/4, 1, 3/4', '-x+3/4, 1/2, 3/4', '1/2, 3/4, -x+3/4', '1, 3/4, x+5/4', '-x+1/2, 1/2, 5/4', 'x+1, 1/2, 3/4', '5/4, -x+1/2, 1/2', '3/4, x+1, 1/2', '1/2, 5/4, -x+1/2', '1/2, 3/4, x+1', '3/4, -x+5/4, 1/2', '3/4, x+3/4, 1', '-x+3/4, 1, 5/4', 'x+5/4, 1/2, 5/4', '1/2, 5/4, x+5/4', '1, 5/4, -x+3/4'], ['x, x, x', '-x+1/2, -x, x+1/2', '-x, x+1/2, -x+1/2', 'x+1/2, -x+1/2, -x', 'x+3/4, x+1/4, -x+1/4', '-x+3/4, -x+3/4, -x+3/4', 'x+1/4, -x+1/4, x+3/4', '-x+1/4, x+3/4, x+1/4', '-x, -x, -x', 'x+1/2, x, -x+1/2', 'x, -x+1/2, x+1/2', '-x+1/2, x+1/2, x', '-x+1/4, -x+3/4, x+3/4', 'x+1/4, x+1/4, x+1/4', '-x+3/4, x+3/4, -x+1/4', 'x+3/4, -x+1/4, -x+3/4', 'x+1/2, x+1/2, x+1/2', '-x+1, -x+1/2, x+1', '-x+1/2, x+1, -x+1', 'x+1, -x+1, -x+1/2', 'x+5/4, x+3/4, -x+3/4', '-x+5/4, -x+5/4, -x+5/4', 'x+3/4, -x+3/4, x+5/4', '-x+3/4, x+5/4, x+3/4', '-x+1/2, -x+1/2, -x+1/2', 'x+1, x+1/2, -x+1', 'x+1/2, -x+1, x+1', '-x+1, x+1, x+1/2', '-x+3/4, -x+5/4, x+5/4', 'x+3/4, x+3/4, x+3/4', '-x+5/4, x+5/4, -x+3/4', 'x+5/4, -x+3/4, -x+5/4'], ['3/8, 0, 1/4', '1/8, 0, 3/4', '1/4, 3/8, 0', '3/4, 1/8, 0', '0, 1/4, 3/8', '0, 3/4, 1/8', '3/4, 5/8, 0', '3/4, 3/8, 1/2', '1/8, 1/2, 1/4', '7/8, 0, 1/4', '0, 1/4, 7/8', '1/2, 1/4, 1/8', '7/8, 1/2, 3/4', '5/8, 1/2, 5/4', '3/4, 7/8, 1/2', '5/4, 5/8, 1/2', '1/2, 3/4, 7/8', '1/2, 5/4, 5/8', '5/4, 9/8, 1/2', '5/4, 7/8, 1', '5/8, 1, 3/4', '11/8, 1/2, 3/4', '1/2, 3/4, 11/8', '1, 3/4, 5/8'], ['1/8, 0, 1/4', '3/8, 0, 3/4', '1/4, 1/8, 0', '3/4, 3/8, 0', '0, 1/4, 1/8', '0, 3/4, 3/8', '7/8, 0, 3/4', '5/8, 0, 1/4', '3/4, 7/8, 0', '1/4, 5/8, 0', '0, 3/4, 7/8', '0, 1/4, 5/8', '5/8, 1/2, 3/4', '7/8, 1/2, 5/4', '3/4, 5/8, 1/2', '5/4, 7/8, 1/2', '1/2, 3/4, 5/8', '1/2, 5/4, 7/8', '11/8, 1/2, 5/4', '9/8, 1/2, 3/4', '5/4, 11/8, 1/2', '3/4, 9/8, 1/2', '1/2, 5/4, 11/8', '1/2, 3/4, 9/8'], ['1/8, 1/8, 1/8', '3/8, 7/8, 5/8', '7/8, 5/8, 3/8', '5/8, 3/8, 7/8', '7/8, 7/8, 7/8', '5/8, 1/8, 3/8', '1/8, 3/8, 5/8', '3/8, 5/8, 1/8', '5/8, 5/8, 5/8', '7/8, 11/8, 9/8', '11/8, 9/8, 7/8', '9/8, 7/8, 11/8', '11/8, 11/8, 11/8', '9/8, 5/8, 7/8', '5/8, 7/8, 9/8', '7/8, 9/8, 5/8'], ['0, 0, 0', '1/2, 0, 1/2', '0, 1/2, 1/2', '1/2, 1/2, 0', '3/4, 1/4, 1/4', '3/4, 3/4, 3/4', '1/4, 1/4, 3/4', '1/4, 3/4, 1/4', '1/2, 1/2, 1/2', '1, 1/2, 1', '1/2, 1, 1', '1, 1, 1/2', '5/4, 3/4, 3/4', '5/4, 5/4, 5/4', '3/4, 3/4, 5/4', '3/4, 5/4, 3/4']]\"\n"
  },
  {
    "path": "pyxtal/database/wyckoff_sets.json",
    "content": "{\n\t\t\"1\": {\"No.\": [\"1\", \"2\"], \"Coset Representative\": [\"x,y,z\", \"-x,-y,-z\"], \"Geometrical Interpretation\": [\"1\", \"-1 0,0,0\"], \"Transformed WP\": [\"a\", \"a\"]}, \n\t\t\"2\": {\"No.\": [\"1\", \"2\", \"3\", \"4\", \"5\", \"6\", \"7\", \"8\"], \"Coset Representative\": [\"x,y,z\", \"x+1/2,y,z\", \"x,y+1/2,z\", \"x,y,z+1/2\", \"x+1/2,y+1/2,z\", \"x+1/2,y,z+1/2\", \"x,y+1/2,z+1/2\", \"x+1/2,y+1/2,z+1/2\"], \"Geometrical Interpretation\": [\"1\", \"t (1/2,0,0)\", \"t (0,1/2,0)\", \"t (0,0,1/2)\", \"t (1/2,1/2,0)\", \"t (1/2,0,1/2)\", \"t (0,1/2,1/2)\", \"t (1/2,1/2,1/2)\"], \"Transformed WP\": [\"a b c d e f g h i\", \"d f e a c b h g i\", \"c g a e d h b f i\", \"b a g f h d c e i\", \"e h d c a g f b i\", \"f d h b g a e c i\", \"g c b h f e a d i\", \"h e f g b c d a i\"]}, \n\t\t\"3\": {\"No.\": [\"1\", \"2\", \"3\", \"4\", \"5\", \"6\", \"7\", \"8\"], \"Coset Representative\": [\"x,y,z\", \"x+1/2,y,z\", \"x,y,z+1/2\", \"x+1/2,y,z+1/2\", \"-x,-y,-z\", \"-x+1/2,-y,-z\", \"-x,-y,-z+1/2\", \"-x+1/2,-y,-z+1/2\"], \"Geometrical Interpretation\": [\"1\", \"t (1/2,0,0)\", \"t (0,0,1/2)\", \"t (1/2,0,1/2)\", \"-1 0,0,0\", \"-1 1/4,0,0\", \"-1 0,0,1/4\", \"-1 1/4,0,1/4\"], \"Transformed WP\": [\"a b c d e\", \"c d a b e\", \"b a d c e\", \"d c b a e\", \"a b c d e\", \"c d a b e\", \"b a d c e\", \"d c b a e\"]}, \n\t\t\"4\": {\"No.\": [\"1\", \"2\", \"3\", \"4\", \"5\", \"6\", \"7\", \"8\"], \"Coset Representative\": [\"x,y,z\", \"x+1/2,y,z\", \"x,y,z+1/2\", \"x+1/2,y,z+1/2\", \"-x,-y,-z\", \"-x+1/2,-y,-z\", \"-x,-y,-z+1/2\", \"-x+1/2,-y,-z+1/2\"], \"Geometrical Interpretation\": [\"1\", \"t (1/2,0,0)\", \"t (0,0,1/2)\", \"t (1/2,0,1/2)\", \"-1 0,0,0\", \"-1 1/4,0,0\", \"-1 0,0,1/4\", \"-1 1/4,0,1/4\"], \"Transformed WP\": [\"a\", \"a\", \"a\", \"a\", \"a\", \"a\", \"a\", \"a\"]}, \n\t\t\"5\": {\"No.\": [\"1\", \"2\", \"3\", \"4\"], \"Coset Representative\": [\"x,y,z\", \"x,y,z+1/2\", \"-x,-y,-z\", \"-x,-y,-z+1/2\"], \"Geometrical Interpretation\": [\"1\", \"t (0,0,1/2)\", \"-1 0,0,0\", \"-1 0,0,1/4\"], \"Transformed WP\": [\"a b c\", \"b a c\", \"a b c\", \"b a c\"]}, \n\t\t\"6\": {\"No.\": [\"1\", \"2\", \"3\", \"4\"], \"Coset Representative\": [\"x,y,z\", \"x,y+1/2,z\", \"-x,-y,-z\", \"-x,-y+1/2,-z\"], \"Geometrical Interpretation\": [\"1\", \"t (0,1/2,0)\", \"-1 0,0,0\", \"-1 0,1/4,0\"], \"Transformed WP\": [\"a b c\", \"b a c\", \"a b c\", \"b a c\"]}, \n\t\t\"7\": {\"No.\": [\"1\", \"2\", \"3\", \"4\"], \"Coset Representative\": [\"x,y,z\", \"x,y+1/2,z\", \"-x,-y,-z\", \"-x,-y+1/2,-z\"], \"Geometrical Interpretation\": [\"1\", \"t (0,1/2,0)\", \"-1 0,0,0\", \"-1 0,1/4,0\"], \"Transformed WP\": [\"a\", \"a\", \"a\", \"a\"]}, \n\t\t\"8\": {\"No.\": [\"1\", \"2\"], \"Coset Representative\": [\"x,y,z\", \"-x,-y,-z\"], \"Geometrical Interpretation\": [\"1\", \"-1 0,0,0\"], \"Transformed WP\": [\"a b\", \"a b\"]}, \n\t\t\"9\": {\"No.\": [\"1\", \"2\"], \"Coset Representative\": [\"x,y,z\", \"-x,-y,-z\"], \"Geometrical Interpretation\": [\"1\", \"-1 0,0,0\"], \"Transformed WP\": [\"a\", \"a\"]}, \n\t\t\"10\": {\"No.\": [\"1\", \"2\", \"3\", \"4\", \"5\", \"6\", \"7\", \"8\"], \"Coset Representative\": [\"x,y,z\", \"x+1/2,y,z\", \"x,y+1/2,z\", \"x,y,z+1/2\", \"x+1/2,y+1/2,z\", \"x+1/2,y,z+1/2\", \"x,y+1/2,z+1/2\", \"x+1/2,y+1/2,z+1/2\"], \"Geometrical Interpretation\": [\"1\", \"t (1/2,0,0)\", \"t (0,1/2,0)\", \"t (0,0,1/2)\", \"t (1/2,1/2,0)\", \"t (1/2,0,1/2)\", \"t (0,1/2,1/2)\", \"t (1/2,1/2,1/2)\"], \"Transformed WP\": [\"a b c d e f g h i j k l m n o\", \"d e g a b h c f j i l k m n o\", \"b a f e d c h g i j k l n m o\", \"c f a g h b d e k l i j m n o\", \"e d h b a g f c j i l k n m o\", \"g h d c f e a b l k j i m n o\", \"f c b h g a e d k l i j n m o\", \"h g e f c d b a l k j i n m o\"]}, \n\t\t\"11\": {\"No.\": [\"1\", \"2\", \"3\", \"4\", \"5\", \"6\", \"7\", \"8\"], \"Coset Representative\": [\"x,y,z\", \"x+1/2,y,z\", \"x,y+1/2,z\", \"x,y,z+1/2\", \"x+1/2,y+1/2,z\", \"x+1/2,y,z+1/2\", \"x,y+1/2,z+1/2\", \"x+1/2,y+1/2,z+1/2\"], \"Geometrical Interpretation\": [\"1\", \"t (1/2,0,0)\", \"t (0,1/2,0)\", \"t (0,0,1/2)\", \"t (1/2,1/2,0)\", \"t (1/2,0,1/2)\", \"t (0,1/2,1/2)\", \"t (1/2,1/2,1/2)\"], \"Transformed WP\": [\"a b c d e f\", \"b a d c e f\", \"a b c d e f\", \"c d a b e f\", \"b a d c e f\", \"d c b a e f\", \"c d a b e f\", \"d c b a e f\"]}, \n\t\t\"12\": {\"No.\": [\"1\", \"2\", \"3\", \"4\"], \"Coset Representative\": [\"x,y,z\", \"x+1/2,y,z\", \"x,y,z+1/2\", \"x+1/2,y,z+1/2\"], \"Geometrical Interpretation\": [\"1\", \"t (1/2,0,0)\", \"t (0,0,1/2)\", \"t (1/2,0,1/2)\"], \"Transformed WP\": [\"a b c d e f g h i j\", \"b a d c e f g h i j\", \"c d a b f e h g i j\", \"d c b a f e h g i j\"]}, \n\t\t\"13\": {\"No.\": [\"1\", \"2\", \"3\", \"4\", \"5\", \"6\", \"7\", \"8\"], \"Coset Representative\": [\"x,y,z\", \"x+1/2,y,z\", \"x,y+1/2,z\", \"x,y,z+1/2\", \"x+1/2,y+1/2,z\", \"x+1/2,y,z+1/2\", \"x,y+1/2,z+1/2\", \"x+1/2,y+1/2,z+1/2\"], \"Geometrical Interpretation\": [\"1\", \"t (1/2,0,0)\", \"t (0,1/2,0)\", \"t (0,0,1/2)\", \"t (1/2,1/2,0)\", \"t (1/2,0,1/2)\", \"t (0,1/2,1/2)\", \"t (1/2,1/2,1/2)\"], \"Transformed WP\": [\"a b c d e f g\", \"d c b a f e g\", \"c d a b e f g\", \"a b c d e f g\", \"b a d c f e g\", \"d c b a f e g\", \"c d a b e f g\", \"b a d c f e g\"]}, \n\t\t\"14\": {\"No.\": [\"1\", \"2\", \"3\", \"4\", \"5\", \"6\", \"7\", \"8\"], \"Coset Representative\": [\"x,y,z\", \"x+1/2,y,z\", \"x,y+1/2,z\", \"x,y,z+1/2\", \"x+1/2,y+1/2,z\", \"x+1/2,y,z+1/2\", \"x,y+1/2,z+1/2\", \"x+1/2,y+1/2,z+1/2\"], \"Geometrical Interpretation\": [\"1\", \"t (1/2,0,0)\", \"t (0,1/2,0)\", \"t (0,0,1/2)\", \"t (1/2,1/2,0)\", \"t (1/2,0,1/2)\", \"t (0,1/2,1/2)\", \"t (1/2,1/2,1/2)\"], \"Transformed WP\": [\"a b c d e\", \"b a d c e\", \"c d a b e\", \"c d a b e\", \"d c b a e\", \"d c b a e\", \"a b c d e\", \"b a d c e\"]},\n\t\t\"15\": {\"No.\": [\"1\", \"2\", \"3\", \"4\"], \"Coset Representative\": [\"x,y,z\", \"x+1/2,y,z\", \"x,y,z+1/2\", \"x+1/2,y,z+1/2\"], \"Geometrical Interpretation\": [\"1\", \"t (1/2,0,0)\", \"t (0,0,1/2)\", \"t (1/2,0,1/2)\"], \"Transformed WP\": [\"a b c d e f\", \"b a d c e f\", \"a b d c e f\", \"b a c d e f\"]}, \n\t\t\"16\": {\"No.\": [\"1\", \"2\", \"3\", \"4\", \"5\", \"6\", \"7\", \"8\", \"9\", \"10\", \"11\", \"12\", \"13\", \"14\", \"15\", \"16\", \"17\", \"18\", \"19\", \"20\", \"21\", \"22\", \"23\", \"24\", \"25\", \"26\", \"27\", \"28\", \"29\", \"30\", \"31\", \"32\", \"33\", \"34\", \"35\", \"36\", \"37\", \"38\", \"39\", \"40\", \"41\", \"42\", \"43\", \"44\", \"45\", \"46\", \"47\", \"48\", \"49\", \"50\", \"51\", \"52\", \"53\", \"54\", \"55\", \"56\", \"57\", \"58\", \"59\", \"60\", \"61\", \"62\", \"63\", \"64\", \"65\", \"66\", \"67\", \"68\", \"69\", \"70\", \"71\", \"72\", \"73\", \"74\", \"75\", \"76\", \"77\", \"78\", \"79\", \"80\", \"81\", \"82\", \"83\", \"84\", \"85\", \"86\", \"87\", \"88\", \"89\", \"90\", \"91\", \"92\", \"93\", \"94\", \"95\", \"96\"], \"Coset Representative\": [\"x,y,z\", \"x+1/2,y,z\", \"x,y+1/2,z\", \"x,y,z+1/2\", \"x+1/2,y+1/2,z\", \"x+1/2,y,z+1/2\", \"x,y+1/2,z+1/2\", \"x+1/2,y+1/2,z+1/2\", \"-x,-y,-z\", \"-x+1/2,-y,-z\", \"-x,-y+1/2,-z\", \"-x,-y,-z+1/2\", \"-x+1/2,-y+1/2,-z\", \"-x+1/2,-y,-z+1/2\", \"-x,-y+1/2,-z+1/2\", \"-x+1/2,-y+1/2,-z+1/2\", \"z,x,y\", \"z+1/2,x,y\", \"z,x+1/2,y\", \"z,x,y+1/2\", \"z+1/2,x+1/2,y\", \"z+1/2,x,y+1/2\", \"z,x+1/2,y+1/2\", \"z+1/2,x+1/2,y+1/2\", \"-z,-x,-y\", \"-z+1/2,-x,-y\", \"-z,-x+1/2,-y\", \"-z,-x,-y+1/2\", \"-z+1/2,-x+1/2,-y\", \"-z+1/2,-x,-y+1/2\", \"-z,-x+1/2,-y+1/2\", \"-z+1/2,-x+1/2,-y+1/2\", \"y,x,z\", \"y+1/2,x,z\", \"y,x+1/2,z\", \"y,x,z+1/2\", \"y+1/2,x+1/2,z\", \"y+1/2,x,z+1/2\", \"y,x+1/2,z+1/2\", \"y+1/2,x+1/2,z+1/2\", \"-y,-x,-z\", \"-y+1/2,-x,-z\", \"-y,-x+1/2,-z\", \"-y,-x,-z+1/2\", \"-y+1/2,-x+1/2,-z\", \"-y+1/2,-x,-z+1/2\", \"-y,-x+1/2,-z+1/2\", \"-y+1/2,-x+1/2,-z+1/2\", \"y,z,x\", \"y+1/2,z,x\", \"y,z+1/2,x\", \"y,z,x+1/2\", \"y+1/2,z+1/2,x\", \"y+1/2,z,x+1/2\", \"y,z+1/2,x+1/2\", \"y+1/2,z+1/2,x+1/2\", \"-y,-z,-x\", \"-y+1/2,-z,-x\", \"-y,-z+1/2,-x\", \"-y,-z,-x+1/2\", \"-y+1/2,-z+1/2,-x\", \"-y+1/2,-z,-x+1/2\", \"-y,-z+1/2,-x+1/2\", \"-y+1/2,-z+1/2,-x+1/2\", \"z,y,x\", \"z+1/2,y,x\", \"z,y+1/2,x\", \"z,y,x+1/2\", \"z+1/2,y+1/2,x\", \"z+1/2,y,x+1/2\", \"z,y+1/2,x+1/2\", \"z+1/2,y+1/2,x+1/2\", \"-z,-y,-x\", \"-z+1/2,-y,-x\", \"-z,-y+1/2,-x\", \"-z,-y,-x+1/2\", \"-z+1/2,-y+1/2,-x\", \"-z+1/2,-y,-x+1/2\", \"-z,-y+1/2,-x+1/2\", \"-z+1/2,-y+1/2,-x+1/2\", \"x,z,y\", \"x+1/2,z,y\", \"x,z+1/2,y\", \"x,z,y+1/2\", \"x+1/2,z+1/2,y\", \"x+1/2,z,y+1/2\", \"x,z+1/2,y+1/2\", \"x+1/2,z+1/2,y+1/2\", \"-x,-z,-y\", \"-x+1/2,-z,-y\", \"-x,-z+1/2,-y\", \"-x,-z,-y+1/2\", \"-x+1/2,-z+1/2,-y\", \"-x+1/2,-z,-y+1/2\", \"-x,-z+1/2,-y+1/2\", \"-x+1/2,-z+1/2,-y+1/2\"], \"Geometrical Interpretation\": [null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null], \"Transformed WP\": [\"a b c d e f g h i j k l m n o p q r s t u\", \"b a e f c d h g i j k l o p m n r q t s u\", \"c e a g b h d f k l i j m n o p s t q r u\", \"d f g a h b c e j i l k n m p o q r s t u\", \"e c b h a g f d k l i j o p m n t s r q u\", \"f d h b g a e c j i l k p o n m r q t s u\", \"g h d c f e a b l k j i n m p o s t q r u\", \"h g f e d c b a l k j i p o n m t s r q u\", \"a b c d e f g h i j k l m n o p q r s t u\", \"b a e f c d h g i j k l o p m n r q t s u\", \"c e a g b h d f k l i j m n o p s t q r u\", \"d f g a h b c e j i l k n m p o q r s t u\", \"e c b h a g f d k l i j o p m n t s r q u\", \"f d h b g a e c j i l k p o n m r q t s u\", \"g h d c f e a b l k j i n m p o s t q r u\", \"h g f e d c b a l k j i p o n m t s r q u\", \"a d b c f g e h q s r t i k j l m n o p u\", \"d a f g b c h e q s r t j l i k n m p o u\", \"b f a e d h c g r t q s i k j l o p m n u\", \"c g e a h d b f s q t r k i l j m n o p u\", \"f b d h a e g c r t q s j l i k p o n m u\", \"g c h d e a f b s q t r l j k i n m p o u\", \"e h c b g f a d t r s q k i l j o p m n u\", \"h e g f c b d a t r s q l j k i p o n m u\", \"a d b c f g e h q s r t i k j l m n o p u\", \"d a f g b c h e q s r t j l i k n m p o u\", \"b f a e d h c g r t q s i k j l o p m n u\", \"c g e a h d b f s q t r k i l j m n o p u\", \"f b d h a e g c r t q s j l i k p o n m u\", \"g c h d e a f b s q t r l j k i n m p o u\", \"e h c b g f a d t r s q k i l j o p m n u\", \"h e g f c b d a t r s q l j k i p o n m u\", \"a c b d e g f h m n o p i j k l q s r t u\", \"c a e g b d h f m n o p k l i j s q t r u\", \"b e a f c h d g o p m n i j k l r t q s u\", \"d g f a h c b e n m p o j i l k q s r t u\", \"e b c h a f g d o p m n k l i j t r s q u\", \"g d h c f a e b n m p o l k j i s q t r u\", \"f h d b g e a c p o n m j i l k r t q s u\", \"h f g e d b c a p o n m l k j i t r s q u\", \"a c b d e g f h m n o p i j k l q s r t u\", \"c a e g b d h f m n o p k l i j s q t r u\", \"b e a f c h d g o p m n i j k l r t q s u\", \"d g f a h c b e n m p o j i l k q s r t u\", \"e b c h a f g d o p m n k l i j t r s q u\", \"g d h c f a e b n m p o l k j i s q t r u\", \"f h d b g e a c p o n m j i l k r t q s u\", \"h f g e d b c a p o n m l k j i t r s q u\", \"a c d b g e f h m o n p q r s t i k j l u\", \"c a g e d b h f m o n p s t q r k i l j u\", \"d g a f c h b e n p m o q r s t j l i k u\", \"b e f a h c d g o m p n r q t s i k j l u\", \"g d c h a f e b n p m o s t q r l j k i u\", \"e b h c f a g d o m p n t s r q k i l j u\", \"f h b d e g a c p n o m r q t s j l i k u\", \"h f e g b d c a p n o m t s r q l j k i u\", \"a c d b g e f h m o n p q r s t i k j l u\", \"c a g e d b h f m o n p s t q r k i l j u\", \"d g a f c h b e n p m o q r s t j l i k u\", \"b e f a h c d g o m p n r q t s i k j l u\", \"g d c h a f e b n p m o s t q r l j k i u\", \"e b h c f a g d o m p n t s r q k i l j u\", \"f h b d e g a c p n o m r q t s j l i k u\", \"h f e g b d c a p n o m t s r q l j k i u\", \"a d c b g f e h q r s t m o n p i j k l u\", \"d a g f c b h e q r s t n p m o j i l k u\", \"c g a e d h b f s t q r m o n p k l i j u\", \"b f e a h d c g r q t s o m p n i j k l u\", \"g c d h a e f b s t q r n p m o l k j i u\", \"f b h d e a g c r q t s p n o m j i l k u\", \"e h b c f g a d t s r q o m p n k l i j u\", \"h e f g b c d a t s r q p n o m l k j i u\", \"a d c b g f e h q r s t m o n p i j k l u\", \"d a g f c b h e q r s t n p m o j i l k u\", \"c g a e d h b f s t q r m o n p k l i j u\", \"b f e a h d c g r q t s o m p n i j k l u\", \"g c d h a e f b s t q r n p m o l k j i u\", \"f b h d e a g c r q t s p n o m j i l k u\", \"e h b c f g a d t s r q o m p n k l i j u\", \"h e f g b c d a t s r q p n o m l k j i u\", \"a b d c f e g h i k j l q s r t m o n p u\", \"b a f e d c h g i k j l r t q s o m p n u\", \"d f a g b h c e j l i k q s r t n p m o u\", \"c e g a h b d f k i l j s q t r m o n p u\", \"f d b h a g e c j l i k r t q s p n o m u\", \"e c h b g a f d k i l j t r s q o m p n u\", \"g h c d e f a b l j k i s q t r n p m o u\", \"h g e f c d b a l j k i t r s q p n o m u\", \"a b d c f e g h i k j l q s r t m o n p u\", \"b a f e d c h g i k j l r t q s o m p n u\", \"d f a g b h c e j l i k q s r t n p m o u\", \"c e g a h b d f k i l j s q t r m o n p u\", \"f d b h a g e c j l i k r t q s p n o m u\", \"e c h b g a f d k i l j t r s q o m p n u\", \"g h c d e f a b l j k i s q t r n p m o u\", \"h g e f c d b a l j k i t r s q p n o m u\"]}, \n\t\t\"17\": {\"No.\": [\"1\", \"2\", \"3\", \"4\", \"5\", \"6\", \"7\", \"8\", \"9\", \"10\", \"11\", \"12\", \"13\", \"14\", \"15\", \"16\", \"17\", \"18\", \"19\", \"20\", \"21\", \"22\", \"23\", \"24\", \"25\", \"26\", \"27\", \"28\", \"29\", \"30\", \"31\", \"32\"], \"Coset Representative\": [\"x,y,z\", \"x+1/2,y,z\", \"x,y+1/2,z\", \"x,y,z+1/2\", \"x+1/2,y+1/2,z\", \"x+1/2,y,z+1/2\", \"x,y+1/2,z+1/2\", \"x+1/2,y+1/2,z+1/2\", \"-x,-y,-z\", \"-x+1/2,-y,-z\", \"-x,-y+1/2,-z\", \"-x,-y,-z+1/2\", \"-x+1/2,-y+1/2,-z\", \"-x+1/2,-y,-z+1/2\", \"-x,-y+1/2,-z+1/2\", \"-x+1/2,-y+1/2,-z+1/2\", \"y,x,z+1/4\", \"y+1/2,x,z+1/4\", \"y,x+1/2,z+1/4\", \"y,x,z+3/4\", \"y+1/2,x+1/2,z+1/4\", \"y+1/2,x,z+3/4\", \"y,x+1/2,z+3/4\", \"y+1/2,x+1/2,z+3/4\", \"-y,-x,-z+1/4\", \"-y+1/2,-x,-z+1/4\", \"-y,-x+1/2,-z+1/4\", \"-y,-x,-z+3/4\", \"-y+1/2,-x+1/2,-z+1/4\", \"-y+1/2,-x,-z+3/4\", \"-y,-x+1/2,-z+3/4\", \"-y+1/2,-x+1/2,-z+3/4\"], \"Geometrical Interpretation\": [null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null], \"Transformed WP\": [\"a b c d e\", \"a b d c e\", \"b a c d e\", \"a b c d e\", \"b a d c e\", \"a b d c e\", \"b a c d e\", \"b a d c e\", \"a b c d e\", \"a b d c e\", \"b a c d e\", \"a b c d e\", \"b a d c e\", \"a b d c e\", \"b a c d e\", \"b a d c e\", \"c d a b e\", \"c d b a e\", \"d c a b e\", \"c d a b e\", \"d c b a e\", \"c d b a e\", \"d c a b e\", \"d c b a e\", \"c d a b e\", \"c d b a e\", \"d c a b e\", \"c d a b e\", \"d c b a e\", \"c d b a e\", \"d c a b e\", \"d c b a e\"]}, \n\t\t\"18\": {\"No.\": [\"1\", \"2\", \"3\", \"4\", \"5\", \"6\", \"7\", \"8\", \"9\", \"10\", \"11\", \"12\", \"13\", \"14\", \"15\", \"16\", \"17\", \"18\", \"19\", \"20\", \"21\", \"22\", \"23\", \"24\", \"25\", \"26\", \"27\", \"28\", \"29\", \"30\", \"31\", \"32\"], \"Coset Representative\": [\"x,y,z\", \"x+1/2,y,z\", \"x,y+1/2,z\", \"x,y,z+1/2\", \"x+1/2,y+1/2,z\", \"x+1/2,y,z+1/2\", \"x,y+1/2,z+1/2\", \"x+1/2,y+1/2,z+1/2\", \"-x,-y,-z\", \"-x+1/2,-y,-z\", \"-x,-y+1/2,-z\", \"-x,-y,-z+1/2\", \"-x+1/2,-y+1/2,-z\", \"-x+1/2,-y,-z+1/2\", \"-x,-y+1/2,-z+1/2\", \"-x+1/2,-y+1/2,-z+1/2\", \"y,x,z\", \"y+1/2,x,z\", \"y,x+1/2,z\", \"y,x,z+1/2\", \"y+1/2,x+1/2,z\", \"y+1/2,x,z+1/2\", \"y,x+1/2,z+1/2\", \"y+1/2,x+1/2,z+1/2\", \"-y,-x,-z\", \"-y+1/2,-x,-z\", \"-y,-x+1/2,-z\", \"-y,-x,-z+1/2\", \"-y+1/2,-x+1/2,-z\", \"-y+1/2,-x,-z+1/2\", \"-y,-x+1/2,-z+1/2\", \"-y+1/2,-x+1/2,-z+1/2\"], \"Geometrical Interpretation\": [null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null], \"Transformed WP\": [\"a b c\", \"b a c\", \"b a c\", \"a b c\", \"a b c\", \"b a c\", \"b a c\", \"a b c\", \"a b c\", \"b a c\", \"b a c\", \"a b c\", \"a b c\", \"b a c\", \"b a c\", \"a b c\", \"a b c\", \"b a c\", \"b a c\", \"a b c\", \"a b c\", \"b a c\", \"b a c\", \"a b c\", \"a b c\", \"b a c\", \"b a c\", \"a b c\", \"a b c\", \"b a c\", \"b a c\", \"a b c\"]}, \n\t\t\"19\": {\"No.\": [\"1\", \"2\", \"3\", \"4\", \"5\", \"6\", \"7\", \"8\", \"9\", \"10\", \"11\", \"12\", \"13\", \"14\", \"15\", \"16\", \"17\", \"18\", \"19\", \"20\", \"21\", \"22\", \"23\", \"24\", \"25\", \"26\", \"27\", \"28\", \"29\", \"30\", \"31\", \"32\", \"33\", \"34\", \"35\", \"36\", \"37\", \"38\", \"39\", \"40\", \"41\", \"42\", \"43\", \"44\", \"45\", \"46\", \"47\", \"48\", \"49\", \"50\", \"51\", \"52\", \"53\", \"54\", \"55\", \"56\", \"57\", \"58\", \"59\", \"60\", \"61\", \"62\", \"63\", \"64\", \"65\", \"66\", \"67\", \"68\", \"69\", \"70\", \"71\", \"72\", \"73\", \"74\", \"75\", \"76\", \"77\", \"78\", \"79\", \"80\", \"81\", \"82\", \"83\", \"84\", \"85\", \"86\", \"87\", \"88\", \"89\", \"90\", \"91\", \"92\", \"93\", \"94\", \"95\", \"96\"], \"Coset Representative\": [\"x,y,z\", \"x+1/2,y,z\", \"x,y+1/2,z\", \"x,y,z+1/2\", \"x+1/2,y+1/2,z\", \"x+1/2,y,z+1/2\", \"x,y+1/2,z+1/2\", \"x+1/2,y+1/2,z+1/2\", \"-x,-y,-z\", \"-x+1/2,-y,-z\", \"-x,-y+1/2,-z\", \"-x,-y,-z+1/2\", \"-x+1/2,-y+1/2,-z\", \"-x+1/2,-y,-z+1/2\", \"-x,-y+1/2,-z+1/2\", \"-x+1/2,-y+1/2,-z+1/2\", \"z,x,y\", \"z+1/2,x,y\", \"z,x+1/2,y\", \"z,x,y+1/2\", \"z+1/2,x+1/2,y\", \"z+1/2,x,y+1/2\", \"z,x+1/2,y+1/2\", \"z+1/2,x+1/2,y+1/2\", \"-z,-x,-y\", \"-z+1/2,-x,-y\", \"-z,-x+1/2,-y\", \"-z,-x,-y+1/2\", \"-z+1/2,-x+1/2,-y\", \"-z+1/2,-x,-y+1/2\", \"-z,-x+1/2,-y+1/2\", \"-z+1/2,-x+1/2,-y+1/2\", \"y+1/4,x+1/4,z+1/4\", \"y+3/4,x+1/4,z+1/4\", \"y+1/4,x+3/4,z+1/4\", \"y+1/4,x+3/4,z+3/4\", \"y+3/4,x+3/4,z+1/4\", \"y+3/4,x+1/4,z+3/4\", \"y+1/4,x+3/4,z+3/4\", \"y+3/4,x+3/4,z+3/4\", \"-y+1/4,-x+1/4,-z+1/4\", \"-y+3/4,-x+1/4,-z+1/4\", \"-y+1/4,-x+3/4,-z+1/4\", \"-y+1/4,-x+3/4,-z+3/4\", \"-y+3/4,-x+3/4,-z+1/4\", \"-y+3/4,-x+1/4,-z+3/4\", \"-y+1/4,-x+3/4,-z+3/4\", \"-y+3/4,-x+3/4,-z+3/4\", \"y,z,x\", \"y+1/2,z,x\", \"y,z+1/2,x\", \"y,z,x+1/2\", \"y+1/2,z+1/2,x\", \"y+1/2,z,x+1/2\", \"y,z+1/2,x+1/2\", \"y+1/2,z+1/2,x+1/2\", \"-y,-z,-x\", \"-y+1/2,-z,-x\", \"-y,-z+1/2,-x\", \"-y,-z,-x+1/2\", \"-y+1/2,-z+1/2,-x\", \"-y+1/2,-z,-x+1/2\", \"-y,-z+1/2,-x+1/2\", \"-y+1/2,-z+1/2,-x+1/2\", \"z+1/4,y+1/4,x+1/4\", \"z+3/4,y+1/4,x+1/4\", \"z+1/4,y+3/4,x+1/4\", \"z+1/4,y+1/4,x+3/4\", \"z+3/4,y+3/4,x+1/4\", \"z+3/4,y+1/4,x+3/4\", \"z+1/4,y+3/4,x+3/4\", \"z+3/4,y+3/4,x+3/4\", \"-z+1/4,-y+1/4,-x+1/4\", \"-z+3/4,-y+1/4,-x+1/4\", \"-z+1/4,-y+3/4,-x+1/4\", \"-z+1/4,-y+1/4,-x+3/4\", \"-z+3/4,-y+3/4,-x+1/4\", \"-z+3/4,-y+1/4,-x+3/4\", \"-z+1/4,-y+3/4,-x+3/4\", \"-z+3/4,-y+3/4,-x+3/4\", \"x+1/4,z+1/4,y+1/4\", \"x+3/4,z+1/4,y+1/4\", \"x+1/4,z+3/4,y+1/4\", \"x+1/4,z+1/4,y+3/4\", \"x+3/4,z+3/4,y+1/4\", \"x+3/4,z+1/4,y+3/4\", \"x+1/4,z+3/4,y+3/4\", \"x+3/4,z+3/4,y+3/4\", \"-x+1/4,-z+1/4,-y+1/4\", \"-x+3/4,-z+1/4,-y+1/4\", \"-x+1/4,-z+3/4,-y+1/4\", \"-x+1/4,-z+1/4,-y+3/4\", \"-x+3/4,-z+3/4,-y+1/4\", \"-x+3/4,-z+1/4,-y+3/4\", \"-x+1/4,-z+3/4,-y+3/4\", \"-x+3/4,-z+3/4,-y+3/4\"], \"Geometrical Interpretation\": [null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null], \"Transformed WP\": [\"a\", \"a\", \"a\", \"a\", \"a\", \"a\", \"a\", \"a\", \"a\", \"a\", \"a\", \"a\", \"a\", \"a\", \"a\", \"a\", \"a\", \"a\", \"a\", \"a\", \"a\", \"a\", \"a\", \"a\", \"a\", \"a\", \"a\", \"a\", \"a\", \"a\", \"a\", \"a\", \"a\", \"a\", \"a\", \"a\", \"a\", \"a\", \"a\", \"a\", \"a\", \"a\", \"a\", \"a\", \"a\", \"a\", \"a\", \"a\", \"a\", \"a\", \"a\", \"a\", \"a\", \"a\", \"a\", \"a\", \"a\", \"a\", \"a\", \"a\", \"a\", \"a\", \"a\", \"a\", \"a\", \"a\", \"a\", \"a\", \"a\", \"a\", \"a\", \"a\", \"a\", \"a\", \"a\", \"a\", \"a\", \"a\", \"a\", \"a\", \"a\", \"a\", \"a\", \"a\", \"a\", \"a\", \"a\", \"a\", \"a\", \"a\", \"a\", \"a\", \"a\", \"a\", \"a\", \"a\"]}, \n\t\t\"20\": {\"No.\": [\"1\", \"2\", \"3\", \"4\", \"5\", \"6\", \"7\", \"8\", \"9\", \"10\", \"11\", \"12\", \"13\", \"14\", \"15\", \"16\"], \"Coset Representative\": [\"x,y,z\", \"x+1/2,y,z\", \"x,y,z+1/2\", \"x+1/2,y,z+1/2\", \"-x,-y,-z\", \"-x+1/2,-y,-z\", \"-x,-y,-z+1/2\", \"-x+1/2,-y,-z+1/2\", \"y,x,z+1/4\", \"y+1/2,x,z+1/4\", \"y,x,z+3/4\", \"y+1/2,x,z+3/4\", \"-y,-x,-z+1/4\", \"-y+1/2,-x,-z+1/4\", \"-y,-x,-z+3/4\", \"-y+1/2,-x,-z+3/4\"], \"Geometrical Interpretation\": [null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null], \"Transformed WP\": [\"a b c\", \"a b c\", \"a b c\", \"a b c\", \"a b c\", \"a b c\", \"a b c\", \"a b c\", \"b a c\", \"b a c\", \"b a c\", \"b a c\", \"b a c\", \"b a c\", \"b a c\", \"b a c\"]}, \n\t\t\"21\": {\"No.\": [\"1\", \"2\", \"3\", \"4\", \"5\", \"6\", \"7\", \"8\", \"9\", \"10\", \"11\", \"12\", \"13\", \"14\", \"15\", \"16\"], \"Coset Representative\": [\"x,y,z\", \"x+1/2,y,z\", \"x,y,z+1/2\", \"x+1/2,y,z+1/2\", \"-x,-y,-z\", \"-x+1/2,-y,-z\", \"-x,-y,-z+1/2\", \"-x+1/2,-y,-z+1/2\", \"y,x,z\", \"y+1/2,x,z\", \"y,x,z+1/2\", \"y+1/2,x,z+1/2\", \"-y,-x,-z\", \"-y+1/2,-x,-z\", \"-y,-x,-z+1/2\", \"-y+1/2,-x,-z+1/2\"], \"Geometrical Interpretation\": [null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null], \"Transformed WP\": [\"a b c d e f g h i j k l\", \"b a d c e f g h j i k l\", \"d c b a f e h g i j k l\", \"c d a b f e h g j i k l\", \"a b c d e f g h i j k l\", \"b a d c e f g h j i k l\", \"d c b a f e h g i j k l\", \"c d a b f e h g j i k l\", \"a b c d g h e f i j k l\", \"b a d c g h e f j i k l\", \"d c b a h g f e i j k l\", \"c d a b h g f e j i k l\", \"a b c d g h e f i j k l\", \"b a d c g h e f j i k l\", \"d c b a h g f e i j k l\", \"c d a b h g f e j i k l\"]}, \n\t\t\"22\": {\"No.\": [\"1\", \"2\", \"3\", \"4\", \"5\", \"6\", \"7\", \"8\", \"9\", \"10\", \"11\", \"12\", \"13\", \"14\", \"15\", \"16\", \"17\", \"18\", \"19\", \"20\", \"21\", \"22\", \"23\", \"24\", \"25\", \"26\", \"27\", \"28\", \"29\", \"30\", \"31\", \"32\", \"33\", \"34\", \"35\", \"36\", \"37\", \"38\", \"39\", \"40\", \"41\", \"42\", \"43\", \"44\", \"45\", \"46\", \"47\", \"48\"], \"Coset Representative\": [\"x,y,z\", \"x+1/4,y+1/4,z+1/4\", \"x+1/2,y+1/2,z+1/2\", \"x+3/4,y+3/4,z+3/4\", \"-x,-y,-z\", \"-x+1/4,-y+1/4,-z+1/4\", \"-x+1/2,-y+1/2,-z+1/2\", \"-x+3/4,-y+3/4,-z+3/4\", \"z,x,y\", \"z+1/4,x+1/4,y+1/4\", \"z+1/2,x+1/2,y+1/2\", \"z+3/4,x+3/4,y+3/4\", \"-z,-x,-y\", \"-z+1/4,-x+1/4,-y+1/4\", \"-z+1/2,-x+1/2,-y+1/2\", \"-z+3/4,-x+3/4,-y+3/4\", \"y,z,x\", \"y+1/4,z+1/4,x+1/4\", \"y+1/2,z+1/2,x+1/2\", \"y+3/4,z+3/4,x+3/4\", \"-y,-z,-x\", \"-y+1/4,-z+1/4,-x+1/4\", \"-y+1/2,-z+1/2,-x+1/2\", \"-y+3/4,-z+3/4,-x+3/4\", \"y,x,z\", \"y+1/4,x+1/4,z+1/4\", \"y+1/2,x+1/2,z+1/2\", \"y+3/4,x+3/4,z+3/4\", \"-y,-x,-z\", \"-y+1/4,-x+1/4,-z+1/4\", \"-y+1/2,-x+1/2,-z+1/2\", \"-y+3/4,-x+3/4,-z+3/4\", \"z,y,x\", \"z+1/4,y+1/4,x+1/4\", \"z+1/2,y+1/2,x+1/2\", \"z+3/4,y+3/4,x+3/4\", \"-z,-y,-x\", \"-z+1/4,-y+1/4,-x+1/4\", \"-z+1/2,-y+1/2,-x+1/2\", \"-z+3/4,-y+3/4,-x+3/4\", \"x,z,y\", \"x+1/4,z+1/4,y+1/4\", \"x+1/2,z+1/2,y+1/2\", \"x+3/4,z+3/4,y+3/4\", \"-x,-z,-y\", \"-x+1/4,-z+1/4,-y+1/4\", \"-x+1/2,-z+1/2,-y+1/2\", \"-x+3/4,-z+3/4,-y+3/4\"], \"Geometrical Interpretation\": [null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null], \"Transformed WP\": [\"a b c d e f g h i j k\", \"d c a b j i h g f e k\", \"b a d c e f g h i j k\", \"c d b a j i h g f e k\", \"a b d c e f g h i j k\", \"c d a b j i h g f e k\", \"b a c d e f g h i j k\", \"d c b a j i h g f e k\", \"a b c d g e f i j h k\", \"d c a b h j i f e g k\", \"b a d c g e f i j h k\", \"c d b a h j i f e g k\", \"a b d c g e f i j h k\", \"c d a b h j i f e g k\", \"b a c d g e f i j h k\", \"d c b a h j i f e g k\", \"a b c d f g e j h i k\", \"d c a b i h j e g f k\", \"b a d c f g e j h i k\", \"c d b a i h j e g f k\", \"a b d c f g e j h i k\", \"c d a b i h j e g f k\", \"b a c d f g e j h i k\", \"d c b a i h j e g f k\", \"a b c d f e g h j i k\", \"d c a b i j h g e f k\", \"b a d c f e g h j i k\", \"c d b a i j h g e f k\", \"a b d c f e g h j i k\", \"c d a b i j h g e f k\", \"b a c d f e g h j i k\", \"d c b a i j h g e f k\", \"a b c d g f e j i h k\", \"d c a b h i j e f g k\", \"b a d c g f e j i h k\", \"c d b a h i j e f g k\", \"a b d c g f e j i h k\", \"c d a b h i j e f g k\", \"b a c d g f e j i h k\", \"d c b a h i j e f g k\", \"a b c d e g f i h j k\", \"d c a b j h i f g e k\", \"b a d c e g f i h j k\", \"c d b a j h i f g e k\", \"a b d c e g f i h j k\", \"c d a b j h i f g e k\", \"b a c d e g f i h j k\", \"d c b a j h i f g e k\"]}, \n\t\t\"23\": {\"No.\": [\"1\", \"2\", \"3\", \"4\", \"5\", \"6\", \"7\", \"8\", \"9\", \"10\", \"11\", \"12\", \"13\", \"14\", \"15\", \"16\", \"17\", \"18\", \"19\", \"20\", \"21\", \"22\", \"23\", \"24\", \"25\", \"26\", \"27\", \"28\", \"29\", \"30\", \"31\", \"32\", \"33\", \"34\", \"35\", \"36\", \"37\", \"38\", \"39\", \"40\", \"41\", \"42\", \"43\", \"44\", \"45\", \"46\", \"47\", \"48\"], \"Coset Representative\": [\"x,y,z\", \"x+1/2,y,z\", \"x,y+1/2,z\", \"x+1/2,y+1/2,z\", \"-x,-y,-z\", \"-x+1/2,-y,-z\", \"-x,-y+1/2,-z\", \"-x+1/2,-y+1/2,-z\", \"z,x,y\", \"z+1/2,x,y\", \"z,x+1/2,y\", \"z+1/2,x+1/2,y\", \"-z,-x,-y\", \"-z+1/2,-x,-y\", \"-z,-x+1/2,-y\", \"-z+1/2,-x+1/2,-y\", \"y,z,x\", \"y+1/2,z,x\", \"y,z+1/2,x\", \"y+1/2,z+1/2,x\", \"-y,-z,-x\", \"-y+1/2,-z,-x\", \"-y,-z+1/2,-x\", \"-y+1/2,-z+1/2,-x\", \"y,x,z\", \"y+1/2,x,z\", \"y,x+1/2,z\", \"y+1/2,x+1/2,z\", \"-y,-x,-z\", \"-y+1/2,-x,-z\", \"-y,-x+1/2,-z\", \"-y+1/2,-x+1/2,-z\", \"z,y,x\", \"z+1/2,y,x\", \"z,y+1/2,x\", \"z+1/2,y+1/2,x\", \"-z,-y,-x\", \"-z+1/2,-y,-x\", \"-z,-y+1/2,-x\", \"-z+1/2,-y+1/2,-x\", \"x,z,y\", \"x+1/2,z,y\", \"x,z+1/2,y\", \"x+1/2,z+1/2,y\", \"-x,-z,-y\", \"-x+1/2,-z,-y\", \"-x,-z+1/2,-y\", \"-x+1/2,-z+1/2,-y\"], \"Geometrical Interpretation\": [null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null], \"Transformed WP\": [\"a b c d e f g h i j k\", \"b a d c e f h g j i k\", \"d c b a f e g h j i k\", \"c d a b f e h g i j k\", \"a b c d e f g h i j k\", \"b a d c e f h g j i k\", \"d c b a f e g h j i k\", \"c d a b f e h g i j k\", \"a c d b i j e f g h k\", \"c a b d i j f e h g k\", \"b d c a j i e f h g k\", \"d b a c j i f e g h k\", \"a c d b i j e f g h k\", \"c a b d i j f e h g k\", \"b d c a j i e f h g k\", \"d b a c j i f e g h k\", \"a d b c g h i j e f k\", \"d a c b g h j i f e k\", \"c b d a h g i j f e k\", \"b c a d h g j i e f k\", \"a d b c g h i j e f k\", \"d a c b g h j i f e k\", \"c b d a h g i j f e k\", \"b c a d h g j i e f k\", \"a d c b g h e f i j k\", \"d a b c g h f e j i k\", \"b c d a h g e f j i k\", \"c b a d h g f e i j k\", \"a d c b g h e f i j k\", \"d a b c g h f e j i k\", \"b c d a h g e f j i k\", \"c b a d h g f e i j k\", \"a c b d i j g h e f k\", \"c a d b i j h g f e k\", \"d b c a j i g h f e k\", \"b d a c j i h g e f k\", \"a c b d i j g h e f k\", \"c a d b i j h g f e k\", \"d b c a j i g h f e k\", \"b d a c j i h g e f k\", \"a b d c e f i j g h k\", \"b a c d e f j i h g k\", \"c d b a f e i j h g k\", \"d c a b f e j i g h k\", \"a b d c e f i j g h k\", \"b a c d e f j i h g k\", \"c d b a f e i j h g k\", \"d c a b f e j i g h k\"]}, \n\t\t\"24\": {\"No.\": [\"1\", \"2\", \"3\", \"4\", \"5\", \"6\", \"7\", \"8\", \"9\", \"10\", \"11\", \"12\", \"13\", \"14\", \"15\", \"16\", \"17\", \"18\", \"19\", \"20\", \"21\", \"22\", \"23\", \"24\", \"25\", \"26\", \"27\", \"28\", \"29\", \"30\", \"31\", \"32\", \"33\", \"34\", \"35\", \"36\", \"37\", \"38\", \"39\", \"40\", \"41\", \"42\", \"43\", \"44\", \"45\", \"46\", \"47\", \"48\"], \"Coset Representative\": [\"x,y,z\", \"x+1/2,y,z\", \"x,y+1/2,z\", \"x+1/2,y+1/2,z\", \"-x,-y,-z\", \"-x+1/2,-y,-z\", \"-x,-y+1/2,-z\", \"-x+1/2,-y+1/2,-z\", \"z,x,y\", \"z+1/2,x,y\", \"z,x+1/2,y\", \"z+1/2,x+1/2,y\", \"-z,-x,-y\", \"-z+1/2,-x,-y\", \"-z,-x+1/2,-y\", \"-z+1/2,-x+1/2,-y\", \"y,z,x\", \"y+1/2,z,x\", \"y,z+1/2,x\", \"y+1/2,z+1/2,x\", \"-y,-z,-x\", \"-y+1/2,-z,-x\", \"-y,-z+1/2,-x\", \"-y+1/2,-z+1/2,-x\", \"y+1/4,x+1/4,z+1/4\", \"y+3/4,x+1/4,z+1/4\", \"y+1/4,x+3/4,z+1/4\", \"y+3/4,x+3/4,z+1/4\", \"-y+1/4,-x+1/4,-z+1/4\", \"-y+3/4,-x+1/4,-z+1/4\", \"-y+1/4,-x+3/4,-z+1/4\", \"-y+3/4,-x+3/4,-z+1/4\", \"z+1/4,y+1/4,x+1/4\", \"z+3/4,y+1/4,x+1/4\", \"z+1/4,y+3/4,x+1/4\", \"z+3/4,y+3/4,x+1/4\", \"-z+1/4,-y+1/4,-x+1/4\", \"-z+3/4,-y+1/4,-x+1/4\", \"-z+1/4,-y+3/4,-x+1/4\", \"-z+3/4,-y+3/4,-x+1/4\", \"x+1/4,z+1/4,y+1/4\", \"x+3/4,z+1/4,y+1/4\", \"x+1/4,z+3/4,y+1/4\", \"x+3/4,z+3/4,y+1/4\", \"-x+1/4,-z+1/4,-y+1/4\", \"-x+3/4,-z+1/4,-y+1/4\", \"-x+1/4,-z+3/4,-y+1/4\", \"-x+3/4,-z+3/4,-y+1/4\"], \"Geometrical Interpretation\": [null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null], \"Transformed WP\": [\"a b c d\", \"a b c d\", \"a b c d\", \"a b c d\", \"a b c d\", \"a b c d\", \"a b c d\", \"a b c d\", \"c a b d\", \"c a b d\", \"c a b d\", \"c a b d\", \"c a b d\", \"c a b d\", \"c a b d\", \"c a b d\", \"b c a d\", \"b c a d\", \"b c a d\", \"b c a d\", \"b c a d\", \"b c a d\", \"b c a d\", \"b c a d\", \"b a c d\", \"b a c d\", \"b a c d\", \"b a c d\", \"b a c d\", \"b a c d\", \"b a c d\", \"b a c d\", \"c b a d\", \"c b a d\", \"c b a d\", \"c b a d\", \"c b a d\", \"c b a d\", \"c b a d\", \"c b a d\", \"a c b d\", \"a c b d\", \"a c b d\", \"a c b d\", \"a c b d\", \"a c b d\", \"a c b d\", \"a c b d\"]}, \n\t\t\"25\": {\"No.\": [\"1\", \"2\", \"3\", \"4\", \"5\", \"6\", \"7\", \"8\", \"9\", \"10\", \"11\", \"12\", \"13\", \"14\", \"15\", \"16\"], \"Coset Representative\": [\"x,y,z\", \"x+1/2,y,z\", \"x,y+1/2,z\", \"x+1/2,y+1/2,z\", \"-x,-y,-z\", \"-x+1/2,-y,-z\", \"-x,-y+1/2,-z\", \"-x+1/2,-y+1/2,-z\", \"y,x,z\", \"y+1/2,x,z\", \"y,x+1/2,z\", \"y+1/2,x+1/2,z\", \"-y,-x,-z\", \"-y+1/2,-x,-z\", \"-y,-x+1/2,-z\", \"-y+1/2,-x+1/2,-z\"], \"Geometrical Interpretation\": [null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null], \"Transformed WP\": [\"a b c d e f g h i\", \"c d a b e f h g i\", \"b a d c f e g h i\", \"d c b a f e h g i\", \"a b c d e f g h i\", \"c d a b e f h g i\", \"b a d c f e g h i\", \"d c b a f e h g i\", \"a c b d g h e f i\", \"b d a c g h f e i\", \"c a d b h g e f i\", \"d b c a h g f e i\", \"a c b d g h e f i\", \"b d a c g h f e i\", \"c a d b h g e f i\", \"d b c a h g f e i\"]}, \n\t\t\"26\": {\"No.\": [\"1\", \"2\", \"3\", \"4\", \"5\", \"6\", \"7\", \"8\"], \"Coset Representative\": [\"x,y,z\", \"x+1/2,y,z\", \"x,y+1/2,z\", \"x+1/2,y+1/2,z\", \"-x,-y,-z\", \"-x+1/2,-y,-z\", \"-x,-y+1/2,-z\", \"-x+1/2,-y+1/2,-z\"], \"Geometrical Interpretation\": [null, null, null, null, null, null, null, null], \"Transformed WP\": [\"a b c\", \"b a c\", \"a b c\", \"b a c\", \"a b c\", \"b a c\", \"a b c\", \"b a c\"]}, \n\t\t\"27\": {\"No.\": [\"1\", \"2\", \"3\", \"4\", \"5\", \"6\", \"7\", \"8\", \"9\", \"10\", \"11\", \"12\", \"13\", \"14\", \"15\", \"16\"], \"Coset Representative\": [\"x,y,z\", \"x+1/2,y,z\", \"x,y+1/2,z\", \"x+1/2,y+1/2,z\", \"-x,-y,-z\", \"-x+1/2,-y,-z\", \"-x,-y+1/2,-z\", \"-x+1/2,-y+1/2,-z\", \"y,x,z\", \"y+1/2,x,z\", \"y,x+1/2,z\", \"y+1/2,x+1/2,z\", \"-y,-x,-z\", \"-y+1/2,-x,-z\", \"-y,-x+1/2,-z\", \"-y+1/2,-x+1/2,-z\"], \"Geometrical Interpretation\": [null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null], \"Transformed WP\": [\"a b c d e\", \"c d a b e\", \"b a d c e\", \"d c b a e\", \"a b c d e\", \"c d a b e\", \"b a d c e\", \"d c b a e\", \"a c b d e\", \"b d a c e\", \"c a d b e\", \"d b c a e\", \"a c b d e\", \"b d a c e\", \"c a d b e\", \"d b c a e\"]}, \n\t\t\"28\": {\"No.\": [\"1\", \"2\", \"3\", \"4\", \"5\", \"6\", \"7\", \"8\"], \"Coset Representative\": [\"x,y,z\", \"x+1/2,y,z\", \"x,y+1/2,z\", \"x+1/2,y+1/2,z\", \"-x,-y,-z\", \"-x+1/2,-y,-z\", \"-x,-y+1/2,-z\", \"-x+1/2,-y+1/2,-z\"], \"Geometrical Interpretation\": [null, null, null, null, null, null, null, null], \"Transformed WP\": [\"a b c d\", \"a b c d\", \"b a c d\", \"b a c d\", \"a b c d\", \"a b c d\", \"b a c d\", \"b a c d\"]}, \n\t\t\"29\": {\"No.\": [\"1\", \"2\", \"3\", \"4\", \"5\", \"6\", \"7\", \"8\"], \"Coset Representative\": [\"x,y,z\", \"x+1/2,y,z\", \"x,y+1/2,z\", \"x+1/2,y+1/2,z\", \"-x,-y,-z\", \"-x+1/2,-y,-z\", \"-x,-y+1/2,-z\", \"-x+1/2,-y+1/2,-z\"], \"Geometrical Interpretation\": [null, null, null, null, null, null, null, null], \"Transformed WP\": [\"a\", \"a\", \"a\", \"a\", \"a\", \"a\", \"a\", \"a\"]}, \n\t\t\"30\": {\"No.\": [\"1\", \"2\", \"3\", \"4\", \"5\", \"6\", \"7\", \"8\"], \"Coset Representative\": [\"x,y,z\", \"x+1/2,y,z\", \"x,y+1/2,z\", \"x+1/2,y+1/2,z\", \"-x,-y,-z\", \"-x+1/2,-y,-z\", \"-x,-y+1/2,-z\", \"-x+1/2,-y+1/2,-z\"], \"Geometrical Interpretation\": [null, null, null, null, null, null, null, null], \"Transformed WP\": [\"a b c\", \"b a c\", \"a b c\", \"b a c\", \"a b c\", \"b a c\", \"a b c\", \"b a c\"]}, \n\t\t\"31\": {\"No.\": [\"1\", \"2\", \"3\", \"4\", \"5\", \"6\", \"7\", \"8\"], \"Coset Representative\": [\"x,y,z\", \"x+1/2,y,z\", \"x,y+1/2,z\", \"x+1/2,y+1/2,z\", \"-x,-y,-z\", \"-x+1/2,-y,-z\", \"-x,-y+1/2,-z\", \"-x+1/2,-y+1/2,-z\"], \"Geometrical Interpretation\": [null, null, null, null, null, null, null, null], \"Transformed WP\": [\"a b\", \"a b\", \"a b\", \"a b\", \"a b\", \"a b\", \"a b\", \"a b\"]}, \n\t\t\"32\": {\"No.\": [\"1\", \"2\", \"3\", \"4\", \"5\", \"6\", \"7\", \"8\", \"9\", \"10\", \"11\", \"12\", \"13\", \"14\", \"15\", \"16\"], \"Coset Representative\": [\"x,y,z\", \"x+1/2,y,z\", \"x,y+1/2,z\", \"x+1/2,y+1/2,z\", \"-x,-y,-z\", \"-x+1/2,-y,-z\", \"-x,-y+1/2,-z\", \"-x+1/2,-y+1/2,-z\", \"y,x,z\", \"y+1/2,x,z\", \"y,x+1/2,z\", \"y+1/2,x+1/2,z\", \"-y,-x,-z\", \"-y+1/2,-x,-z\", \"-y,-x+1/2,-z\", \"-y+1/2,-x+1/2,-z\"], \"Geometrical Interpretation\": [null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null], \"Transformed WP\": [\"a b c\", \"b a c\", \"b a c\", \"a b c\", \"a b c\", \"b a c\", \"b a c\", \"a b c\", \"a b c\", \"b a c\", \"b a c\", \"a b c\", \"a b c\", \"b a c\", \"b a c\", \"a b c\"]}, \n\t\t\"33\": {\"No.\": [\"1\", \"2\", \"3\", \"4\", \"5\", \"6\", \"7\", \"8\"], \"Coset Representative\": [\"x,y,z\", \"x+1/2,y,z\", \"x,y+1/2,z\", \"x+1/2,y+1/2,z\", \"-x,-y,-z\", \"-x+1/2,-y,-z\", \"-x,-y+1/2,-z\", \"-x+1/2,-y+1/2,-z\"], \"Geometrical Interpretation\": [null, null, null, null, null, null, null, null], \"Transformed WP\": [\"a\", \"a\", \"a\", \"a\", \"a\", \"a\", \"a\", \"a\"]}, \n\t\t\"34\": {\"No.\": [\"1\", \"2\", \"3\", \"4\", \"5\", \"6\", \"7\", \"8\", \"9\", \"10\", \"11\", \"12\", \"13\", \"14\", \"15\", \"16\"], \"Coset Representative\": [\"x,y,z\", \"x+1/2,y,z\", \"x,y+1/2,z\", \"x+1/2,y+1/2,z\", \"-x,-y,-z\", \"-x+1/2,-y,-z\", \"-x,-y+1/2,-z\", \"-x+1/2,-y+1/2,-z\", \"y,x,z\", \"y+1/2,x,z\", \"y,x+1/2,z\", \"y+1/2,x+1/2,z\", \"-y,-x,-z\", \"-y+1/2,-x,-z\", \"-y,-x+1/2,-z\", \"-y+1/2,-x+1/2,-z\"], \"Geometrical Interpretation\": [null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null], \"Transformed WP\": [\"a b c\", \"b a c\", \"b a c\", \"a b c\", \"a b c\", \"b a c\", \"b a c\", \"a b c\", \"a b c\", \"b a c\", \"b a c\", \"a b c\", \"a b c\", \"b a c\", \"b a c\", \"a b c\"]}, \n\t\t\"35\": {\"No.\": [\"1\", \"2\", \"3\", \"4\", \"5\", \"6\", \"7\", \"8\"], \"Coset Representative\": [\"x,y,z\", \"x+1/2,y,z\", \"-x,-y,-z\", \"-x+1/2,-y,-z\", \"y,x,z\", \"y+1/2,x,z\", \"-y,-x,-z\", \"-y+1/2,-x,-z\"], \"Geometrical Interpretation\": [null, null, null, null, null, null, null, null], \"Transformed WP\": [\"a b c d e f\", \"b a c d e f\", \"a b c d e f\", \"b a c d e f\", \"a b c e d f\", \"b a c e d f\", \"a b c e d f\", \"b a c e d f\"]}, \n\t\t\"36\": {\"No.\": [\"1\", \"2\", \"3\", \"4\"], \"Coset Representative\": [\"x,y,z\", \"x+1/2,y,z\", \"-x,-y,-z\", \"-x+1/2,-y,-z\"], \"Geometrical Interpretation\": [null, null, null, null], \"Transformed WP\": [\"a b\", \"a b\", \"a b\", \"a b\"]}, \n\t\t\"37\": {\"No.\": [\"1\", \"2\", \"3\", \"4\", \"5\", \"6\", \"7\", \"8\"], \"Coset Representative\": [\"x,y,z\", \"x+1/2,y,z\", \"-x,-y,-z\", \"-x+1/2,-y,-z\", \"y,x,z\", \"y+1/2,x,z\", \"-y,-x,-z\", \"-y+1/2,-x,-z\"], \"Geometrical Interpretation\": [null, null, null, null, null, null, null, null], \"Transformed WP\": [\"a b c d\", \"b a c d\", \"a b c d\", \"b a c d\", \"a b c d\", \"b a c d\", \"a b c d\", \"b a c d\"]}, \n\t\t\"38\": {\"No.\": [\"1\", \"2\", \"3\", \"4\"], \"Coset Representative\": [\"x,y,z\", \"x+1/2,y,z\", \"-x,-y,-z\", \"-x+1/2,-y,-z\"], \"Geometrical Interpretation\": [null, null, null, null], \"Transformed WP\": [\"a b c d e f\", \"b a c e d f\", \"a b c d e f\", \"b a c e d f\"]}, \n\t\t\"39\": {\"No.\": [\"1\", \"2\", \"3\", \"4\"], \"Coset Representative\": [\"x,y,z\", \"x+1/2,y,z\", \"-x,-y,-z\", \"-x+1/2,-y,-z\"], \"Geometrical Interpretation\": [null, null, null, null], \"Transformed WP\": [\"a b c d\", \"b a c d\", \"a b c d\", \"b a c d\"]}, \n\t\t\"40\": {\"No.\": [\"1\", \"2\", \"3\", \"4\"], \"Coset Representative\": [\"x,y,z\", \"x+1/2,y,z\", \"-x,-y,-z\", \"-x+1/2,-y,-z\"], \"Geometrical Interpretation\": [null, null, null, null], \"Transformed WP\": [\"a b c\", \"a b c\", \"a b c\", \"a b c\"]}, \n\t\t\"41\": {\"No.\": [\"1\", \"2\", \"3\", \"4\"], \"Coset Representative\": [\"x,y,z\", \"x+1/2,y,z\", \"-x,-y,-z\", \"-x+1/2,-y,-z\"], \"Geometrical Interpretation\": [null, null, null, null], \"Transformed WP\": [\"a b\", \"a b\", \"a b\", \"a b\"]}, \n\t\t\"42\": {\"No.\": [\"1\", \"2\", \"3\", \"4\"], \"Coset Representative\": [\"x,y,z\", \"-x,-y,-z\", \"y,x,z\", \"-y,-x,-z\"], \"Geometrical Interpretation\": [null, null, null, null], \"Transformed WP\": [\"a b c d e\", \"a b c d e\", \"a b d c e\", \"a b d c e\"]}, \n\t\t\"43\": {\"No.\": [\"1\", \"2\", \"3\", \"4\"], \"Coset Representative\": [\"x,y,z\", \"-x+1/4,-y+1/4,-z\", \"y,x,z\", \"-y+1/4,-x+1/4,-z\"], \"Geometrical Interpretation\": [null, null, null, null], \"Transformed WP\": [\"a b\", \"a b\", \"a b\", \"a b\"]}, \n\t\t\"44\": {\"No.\": [\"1\", \"2\", \"3\", \"4\", \"5\", \"6\", \"7\", \"8\"], \"Coset Representative\": [\"x,y,z\", \"x+1/2,y,z\", \"-x,-y,-z\", \"-x+1/2,-y,-z\", \"y,x,z\", \"y+1/2,x,z\", \"-y,-x,-z\", \"-y+1/2,-x,-z\"], \"Geometrical Interpretation\": [null, null, null, null, null, null, null, null], \"Transformed WP\": [\"a b c d e\", \"b a c d e\", \"a b c d e\", \"b a c d e\", \"a b d c e\", \"b a d c e\", \"a b d c e\", \"b a d c e\"]}, \n\t\t\"45\": {\"No.\": [\"1\", \"2\", \"3\", \"4\", \"5\", \"6\", \"7\", \"8\"], \"Coset Representative\": [\"x,y,z\", \"x+1/2,y,z\", \"-x,-y,-z\", \"-x+1/2,-y,-z\", \"y,x,z\", \"y+1/2,x,z\", \"-y,-x,-z\", \"-y+1/2,-x,-z\"], \"Geometrical Interpretation\": [null, null, null, null, null, null, null, null], \"Transformed WP\": [\"a b c\", \"b a c\", \"a b c\", \"b a c\", \"a b c\", \"b a c\", \"a b c\", \"b a c\"]}, \n\t\t\"46\": {\"No.\": [\"1\", \"2\", \"3\", \"4\"], \"Coset Representative\": [\"x,y,z\", \"x+1/2,y,z\", \"-x,-y,-z\", \"-x+1/2,-y,-z\"], \"Geometrical Interpretation\": [null, null, null, null], \"Transformed WP\": [\"a b c\", \"a b c\", \"a b c\", \"a b c\"]}, \n\t\t\"47\": {\"No.\": [\"1\", \"2\", \"3\", \"4\", \"5\", \"6\", \"7\", \"8\", \"9\", \"10\", \"11\", \"12\", \"13\", \"14\", \"15\", \"16\", \"17\", \"18\", \"19\", \"20\", \"21\", \"22\", \"23\", \"24\", \"25\", \"26\", \"27\", \"28\", \"29\", \"30\", \"31\", \"32\", \"33\", \"34\", \"35\", \"36\", \"37\", \"38\", \"39\", \"40\", \"41\", \"42\", \"43\", \"44\", \"45\", \"46\", \"47\", \"48\"], \"Coset Representative\": [\"x,y,z\", \"x+1/2,y,z\", \"x,y+1/2,z\", \"x,y,z+1/2\", \"x+1/2,y+1/2,z\", \"x+1/2,y,z+1/2\", \"x,y+1/2,z+1/2\", \"x+1/2,y+1/2,z+1/2\", \"z,x,y\", \"z+1/2,x,y\", \"z,x+1/2,y\", \"z,x,y+1/2\", \"z+1/2,x+1/2,y\", \"z+1/2,x,y+1/2\", \"z,x+1/2,y+1/2\", \"z+1/2,x+1/2,y+1/2\", \"y,x,z\", \"y+1/2,x,z\", \"y,x+1/2,z\", \"y,x,z+1/2\", \"y+1/2,x+1/2,z\", \"y+1/2,x,z+1/2\", \"y,x+1/2,z+1/2\", \"y+1/2,x+1/2,z+1/2\", \"y,z,x\", \"y+1/2,z,x\", \"y,z+1/2,x\", \"y,z,x+1/2\", \"y+1/2,z+1/2,x\", \"y+1/2,z,x+1/2\", \"y,z+1/2,x+1/2\", \"y+1/2,z+1/2,x+1/2\", \"z,y,x\", \"z+1/2,y,x\", \"z,y+1/2,x\", \"z,y,x+1/2\", \"z+1/2,y+1/2,x\", \"z+1/2,y,x+1/2\", \"z,y+1/2,x+1/2\", \"z+1/2,y+1/2,x+1/2\", \"x,z,y\", \"x+1/2,z,y\", \"x,z+1/2,y\", \"x,z,y+1/2\", \"x+1/2,z+1/2,y\", \"x+1/2,z,y+1/2\", \"x,z+1/2,y+1/2\", \"x+1/2,z+1/2,y+1/2\"], \"Geometrical Interpretation\": [null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null], \"Transformed WP\": [\"a b c d e f g h i j k l m n o p q r s t u v w x y z A\", \"b a d c f e h g i j k l o p m n s t q r v u w x y z A\", \"e f g h a b c d k l i j m n o p r q t s u v x w y z A\", \"c d a b g h e f j i l k n m p o q r s t u v w x z y A\", \"f e h g b a d c k l i j o p m n t s r q v u x w y z A\", \"d c b a h g f e j i l k p o n m s t q r v u w x z y A\", \"g h e f c d a b l k j i n m p o r q t s u v x w z y A\", \"h g f e d c b a l k j i p o n m t s r q v u x w z y A\", \"a c e g b d f h q r s t i k j l m o n p y z u v w x A\", \"c a g e d b h f q r s t j l i k n p m o z y u v w x A\", \"b d f h a c e g s t q r i k j l o m p n y z v u w x A\", \"e g a c f h b d r q t s k i l j m o n p y z u v x w A\", \"d b h f c a g e s t q r j l i k p n o m z y v u w x A\", \"g e c a h f d b r q t s l j k i n p m o z y u v x w A\", \"f h b d e g a c t s r q k i l j o m p n y z v u x w A\", \"h f d b g e c a t s r q l j k i p n o m z y v u x w A\", \"a e c g b f d h m n o p i j k l q s r t w x u v y z A\", \"e a g c f b h d m n o p k l i j r t q s x w u v y z A\", \"b f d h a e c g o p m n i j k l s q t r w x v u y z A\", \"c g a e d h b f n m p o j i l k q s r t w x u v z y A\", \"f b h d e a g c o p m n k l i j t r s q x w v u y z A\", \"g c e a h d f b n m p o l k j i r t q s x w u v z y A\", \"d h b f c g a e p o n m j i l k s q t r w x v u z y A\", \"h d f b g c e a p o n m l k j i t r s q x w v u z y A\", \"a e b f c g d h m o n p q s r t i j k l w x y z u v A\", \"e a f b g c h d m o n p r t q s k l i j x w y z u v A\", \"c g d h a e b f n p m o q s r t j i l k w x z y u v A\", \"b f a e d h c g o m p n s q t r i j k l w x y z v u A\", \"g c h d e a f b n p m o r t q s l k j i x w z y u v A\", \"f b e a h d g c o m p n t r s q k l i j x w y z v u A\", \"d h c g b f a e p n o m s q t r j i l k w x z y v u A\", \"h d g c f b e a p n o m t r s q l k j i x w z y v u A\", \"a c b d e g f h q s r t m o n p i k j l y z w x u v A\", \"c a d b g e h f q s r t n p m o j l i k z y w x u v A\", \"e g f h a c b d r t q s m o n p k i l j y z x w u v A\", \"b d a c f h e g s q t r o m p n i k j l y z w x v u A\", \"g e h f c a d b r t q s n p m o l j k i z y x w u v A\", \"d b c a h f g e s q t r p n o m j l i k z y w x v u A\", \"f h e g b d a c t r s q o m p n k i l j y z x w v u A\", \"h f g e d b c a t r s q p n o m l j k i z y x w v u A\", \"a b e f c d g h i k j l q r s t m n o p u v y z w x A\", \"b a f e d c h g i k j l s t q r o p m n v u y z w x A\", \"c d g h a b e f j l i k q r s t n m p o u v z y w x A\", \"e f a b g h c d k i l j r q t s m n o p u v y z x w A\", \"d c h g b a f e j l i k s t q r p o n m v u z y w x A\", \"f e b a h g d c k i l j t s r q o p m n v u y z x w A\", \"g h c d e f a b l j k i r q t s n m p o u v z y x w A\", \"h g d c f e b a l j k i t s r q p o n m v u z y x w A\"]}, \n\t\t\"48\": {\"No.\": [\"1\", \"2\", \"3\", \"4\", \"5\", \"6\", \"7\", \"8\", \"9\", \"10\", \"11\", \"12\", \"13\", \"14\", \"15\", \"16\", \"17\", \"18\", \"19\", \"20\", \"21\", \"22\", \"23\", \"24\", \"25\", \"26\", \"27\", \"28\", \"29\", \"30\", \"31\", \"32\", \"33\", \"34\", \"35\", \"36\", \"37\", \"38\", \"39\", \"40\", \"41\", \"42\", \"43\", \"44\", \"45\", \"46\", \"47\", \"48\"], \"Coset Representative\": [\"x,y,z\", \"x+1/2,y,z\", \"x,y+1/2,z\", \"x,y,z+1/2\", \"x+1/2,y+1/2,z\", \"x+1/2,y,z+1/2\", \"x,y+1/2,z+1/2\", \"x+1/2,y+1/2,z+1/2\", \"z,x,y\", \"z+1/2,x,y\", \"z,x+1/2,y\", \"z,x,y+1/2\", \"z+1/2,x+1/2,y\", \"z+1/2,x,y+1/2\", \"z,x+1/2,y+1/2\", \"z+1/2,x+1/2,y+1/2\", \"y,x,z\", \"y+1/2,x,z\", \"y,x+1/2,z\", \"y,x,z+1/2\", \"y+1/2,x+1/2,z\", \"y+1/2,x,z+1/2\", \"y,x+1/2,z+1/2\", \"y+1/2,x+1/2,z+1/2\", \"y,z,x\", \"y+1/2,z,x\", \"y,z+1/2,x\", \"y,z,x+1/2\", \"y+1/2,z+1/2,x\", \"y+1/2,z,x+1/2\", \"y,z+1/2,x+1/2\", \"y+1/2,z+1/2,x+1/2\", \"z,y,x\", \"z+1/2,y,x\", \"z,y+1/2,x\", \"z,y,x+1/2\", \"z+1/2,y+1/2,x\", \"z+1/2,y,x+1/2\", \"z,y+1/2,x+1/2\", \"z+1/2,y+1/2,x+1/2\", \"x,z,y\", \"x+1/2,z,y\", \"x,z+1/2,y\", \"x,z,y+1/2\", \"x+1/2,z+1/2,y\", \"x+1/2,z,y+1/2\", \"x,z+1/2,y+1/2\", \"x+1/2,z+1/2,y+1/2\"], \"Geometrical Interpretation\": [null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null], \"Transformed WP\": [\"a b c d e f g h i j k l m\", \"b a d c f e g h j i l k m\", \"d c b a f e h g i j l k m\", \"c d a b f e h g j i k l m\", \"c d a b e f h g j i k l m\", \"d c b a e f h g i j l k m\", \"b a d c e f g h j i l k m\", \"a b c d f e g h i j k l m\", \"a c d b e f k l g h i j m\", \"c a b d f e k l h g j i m\", \"b d c a f e l k g h j i m\", \"d b a c f e l k h g i j m\", \"d b a c e f l k h g i j m\", \"b d c a e f l k g h j i m\", \"c a b d e f k l h g j i m\", \"a c d b f e k l g h i j m\", \"a d c b e f i j g h k l m\", \"d a b c f e i j h g l k m\", \"b c d a f e j i g h l k m\", \"c b a d f e j i h g k l m\", \"c b a d e f j i h g k l m\", \"b c d a e f j i g h l k m\", \"d a b c e f i j h g l k m\", \"a d c b f e i j g h k l m\", \"a d b c e f i j k l g h m\", \"d a c b f e i j l k h g m\", \"c b d a f e j i k l h g m\", \"b c a d f e j i l k g h m\", \"b c a d e f j i l k g h m\", \"c b d a e f j i k l h g m\", \"d a c b e f i j l k h g m\", \"a d b c f e i j k l g h m\", \"a c b d e f k l i j g h m\", \"c a d b f e k l j i h g m\", \"d b c a f e l k i j h g m\", \"b d a c f e l k j i g h m\", \"b d a c e f l k j i g h m\", \"d b c a e f l k i j h g m\", \"c a d b e f k l j i h g m\", \"a c b d f e k l i j g h m\", \"a b d c e f g h k l i j m\", \"b a c d f e g h l k j i m\", \"c d b a f e h g k l j i m\", \"d c a b f e h g l k i j m\", \"d c a b e f h g l k i j m\", \"c d b a e f h g k l j i m\", \"b a c d e f g h l k j i m\", \"a b d c f e g h k l i j m\"]}, \n\t\t\"49\": {\"No.\": [\"1\", \"2\", \"3\", \"4\", \"5\", \"6\", \"7\", \"8\", \"9\", \"10\", \"11\", \"12\", \"13\", \"14\", \"15\", \"16\"], \"Coset Representative\": [\"x,y,z\", \"x+1/2,y,z\", \"x,y+1/2,z\", \"x,y,z+1/2\", \"x+1/2,y+1/2,z\", \"x+1/2,y,z+1/2\", \"x,y+1/2,z+1/2\", \"x+1/2,y+1/2,z+1/2\", \"y,x,z\", \"y+1/2,x,z\", \"y,x+1/2,z\", \"y,x,z+1/2\", \"y+1/2,x+1/2,z\", \"y+1/2,x,z+1/2\", \"y,x+1/2,z+1/2\", \"y+1/2,x+1/2,z+1/2\"], \"Geometrical Interpretation\": [null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null], \"Transformed WP\": [\"a b c d e f g h i j k l m n o p q r\", \"d c b a f e h g i j l k p o n m q r\", \"c d a b g h e f j i k l o p m n q r\", \"a b c d e f g h i j k l m n o p q r\", \"b a d c h g f e j i l k n m p o q r\", \"d c b a f e h g i j l k p o n m q r\", \"c d a b g h e f j i k l o p m n q r\", \"b a d c h g f e j i l k n m p o q r\", \"a b d c e g f h k l i j m n p o q r\", \"c d b a g e h f k l j i o p n m q r\", \"d c a b f h e g l k i j p o m n q r\", \"a b d c e g f h k l i j m n p o q r\", \"b a c d h f g e l k j i n m o p q r\", \"c d b a g e h f k l j i o p n m q r\", \"d c a b f h e g l k i j p o m n q r\", \"b a c d h f g e l k j i n m o p q r\"]}, \n\t\t\"50\": {\"No.\": [\"1\", \"2\", \"3\", \"4\", \"5\", \"6\", \"7\", \"8\", \"9\", \"10\", \"11\", \"12\", \"13\", \"14\", \"15\", \"16\"], \"Coset Representative\": [\"x,y,z\", \"x+1/2,y,z\", \"x,y+1/2,z\", \"x,y,z+1/2\", \"x+1/2,y+1/2,z\", \"x+1/2,y,z+1/2\", \"x,y+1/2,z+1/2\", \"x+1/2,y+1/2,z+1/2\", \"y,x,z\", \"y+1/2,x,z\", \"y,x+1/2,z\", \"y,x,z+1/2\", \"y+1/2,x+1/2,z\", \"y+1/2,x,z+1/2\", \"y,x+1/2,z+1/2\", \"y+1/2,x+1/2,z+1/2\"], \"Geometrical Interpretation\": [null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null], \"Transformed WP\": [\"a b c d e f g h i j k l m\", \"b a d c e f g h i j l k m\", \"b a d c e f g h i j l k m\", \"d c b a f e h g j i k l m\", \"a b c d e f g h i j k l m\", \"c d a b f e h g j i l k m\", \"c d a b f e h g j i l k m\", \"d c b a f e h g j i k l m\", \"a b c d e f i j g h k l m\", \"b a d c e f i j g h l k m\", \"b a d c e f i j g h l k m\", \"d c b a f e j i h g k l m\", \"a b c d e f i j g h k l m\", \"c d a b f e j i h g l k m\", \"c d a b f e j i h g l k m\", \"d c b a f e j i h g k l m\"]}, \n\t\t\"51\": {\"No.\": [\"1\", \"2\", \"3\", \"4\", \"5\", \"6\", \"7\", \"8\"], \"Coset Representative\": [\"x,y,z\", \"x+1/2,y,z\", \"x,y+1/2,z\", \"x,y,z+1/2\", \"x+1/2,y+1/2,z\", \"x+1/2,y,z+1/2\", \"x,y+1/2,z+1/2\", \"x+1/2,y+1/2,z+1/2\"], \"Geometrical Interpretation\": [null, null, null, null, null, null, null, null], \"Transformed WP\": [\"a b c d e f g h i j k l\", \"a b c d e f g h i j k l\", \"b a d c f e g h j i k l\", \"c d a b e f h g i j k l\", \"b a d c f e g h j i k l\", \"c d a b e f h g i j k l\", \"d c b a f e h g j i k l\", \"d c b a f e h g j i k l\"]}, \n\t\t\"52\": {\"No.\": [\"1\", \"2\", \"3\", \"4\", \"5\", \"6\", \"7\", \"8\"], \"Coset Representative\": [\"x,y,z\", \"x+1/2,y,z\", \"x,y+1/2,z\", \"x,y,z+1/2\", \"x+1/2,y+1/2,z\", \"x+1/2,y,z+1/2\", \"x,y+1/2,z+1/2\", \"x+1/2,y+1/2,z+1/2\"], \"Geometrical Interpretation\": [null, null, null, null, null, null, null, null], \"Transformed WP\": [\"a b c d e\", \"a b c d e\", \"b a c d e\", \"b a c d e\", \"b a c d e\", \"b a c d e\", \"a b c d e\", \"a b c d e\"]}, \n\t\t\"53\": {\"No.\": [\"1\", \"2\", \"3\", \"4\", \"5\", \"6\", \"7\", \"8\"], \"Coset Representative\": [\"x,y,z\", \"x+1/2,y,z\", \"x,y+1/2,z\", \"x,y,z+1/2\", \"x+1/2,y+1/2,z\", \"x+1/2,y,z+1/2\", \"x,y+1/2,z+1/2\", \"x+1/2,y+1/2,z+1/2\"], \"Geometrical Interpretation\": [null, null, null, null, null, null, null, null], \"Transformed WP\": [\"a b c d e f g h i\", \"b a d c e f g h i\", \"d c b a f e g h i\", \"b a d c e f g h i\", \"c d a b f e g h i\", \"a b c d e f g h i\", \"c d a b f e g h i\", \"d c b a f e g h i\"]}, \n\t\t\"54\": {\"No.\": [\"1\", \"2\", \"3\", \"4\", \"5\", \"6\", \"7\", \"8\"], \"Coset Representative\": [\"x,y,z\", \"x+1/2,y,z\", \"x,y+1/2,z\", \"x,y,z+1/2\", \"x+1/2,y+1/2,z\", \"x+1/2,y,z+1/2\", \"x,y+1/2,z+1/2\", \"x+1/2,y+1/2,z+1/2\"], \"Geometrical Interpretation\": [null, null, null, null, null, null, null, null], \"Transformed WP\": [\"a b c d e f\", \"a b c d e f\", \"b a c e d f\", \"a b c d e f\", \"b a c e d f\", \"a b c d e f\", \"b a c e d f\", \"b a c e d f\"]}, \n\t\t\"55\": {\"No.\": [\"1\", \"2\", \"3\", \"4\", \"5\", \"6\", \"7\", \"8\", \"9\", \"10\", \"11\", \"12\", \"13\", \"14\", \"15\", \"16\"], \"Coset Representative\": [\"x,y,z\", \"x+1/2,y,z\", \"x,y+1/2,z\", \"x,y,z+1/2\", \"x+1/2,y+1/2,z\", \"x+1/2,y,z+1/2\", \"x,y+1/2,z+1/2\", \"x+1/2,y+1/2,z+1/2\", \"y,x,z\", \"y+1/2,x,z\", \"y,x+1/2,z\", \"y,x,z+1/2\", \"y+1/2,x+1/2,z\", \"y+1/2,x,z+1/2\", \"y,x+1/2,z+1/2\", \"y+1/2,x+1/2,z+1/2\"], \"Geometrical Interpretation\": [null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null], \"Transformed WP\": [\"a b c d e f g h i\", \"c d a b f e g h i\", \"c d a b f e g h i\", \"b a d c e f h g i\", \"a b c d e f g h i\", \"d c b a f e h g i\", \"d c b a f e h g i\", \"b a d c e f h g i\", \"a b c d e f g h i\", \"c d a b f e g h i\", \"c d a b f e g h i\", \"b a d c e f h g i\", \"a b c d e f g h i\", \"d c b a f e h g i\", \"d c b a f e h g i\", \"b a d c e f h g i\"]}, \n\t\t\"56\": {\"No.\": [\"1\", \"2\", \"3\", \"4\", \"5\", \"6\", \"7\", \"8\", \"9\", \"10\", \"11\", \"12\", \"13\", \"14\", \"15\", \"16\"], \"Coset Representative\": [\"x,y,z\", \"x+1/2,y,z\", \"x,y+1/2,z\", \"x,y,z+1/2\", \"x+1/2,y+1/2,z\", \"x+1/2,y,z+1/2\", \"x,y+1/2,z+1/2\", \"x+1/2,y+1/2,z+1/2\", \"y,x,z\", \"y+1/2,x,z\", \"y,x+1/2,z\", \"y,x,z+1/2\", \"y+1/2,x+1/2,z\", \"y+1/2,x,z+1/2\", \"y,x+1/2,z+1/2\", \"y+1/2,x+1/2,z+1/2\"], \"Geometrical Interpretation\": [null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null], \"Transformed WP\": [\"a b c d e\", \"b a d c e\", \"b a d c e\", \"b a c d e\", \"a b c d e\", \"a b d c e\", \"a b d c e\", \"b a c d e\", \"a b c d e\", \"b a d c e\", \"b a d c e\", \"b a c d e\", \"a b c d e\", \"a b d c e\", \"a b d c e\", \"b a c d e\"]}, \n\t\t\"57\": {\"No.\": [\"1\", \"2\", \"3\", \"4\", \"5\", \"6\", \"7\", \"8\"], \"Coset Representative\": [\"x,y,z\", \"x+1/2,y,z\", \"x,y+1/2,z\", \"x,y,z+1/2\", \"x+1/2,y+1/2,z\", \"x+1/2,y,z+1/2\", \"x,y+1/2,z+1/2\", \"x+1/2,y+1/2,z+1/2\"], \"Geometrical Interpretation\": [null, null, null, null, null, null, null, null], \"Transformed WP\": [\"a b c d e\", \"b a c d e\", \"a b c d e\", \"a b c d e\", \"b a c d e\", \"b a c d e\", \"a b c d e\", \"b a c d e\"]}, \n\t\t\"58\": {\"No.\": [\"1\", \"2\", \"3\", \"4\", \"5\", \"6\", \"7\", \"8\", \"9\", \"10\", \"11\", \"12\", \"13\", \"14\", \"15\", \"16\"], \"Coset Representative\": [\"x,y,z\", \"x+1/2,y,z\", \"x,y+1/2,z\", \"x,y,z+1/2\", \"x+1/2,y+1/2,z\", \"x+1/2,y,z+1/2\", \"x,y+1/2,z+1/2\", \"x+1/2,y+1/2,z+1/2\", \"y,x,z\", \"y+1/2,x,z\", \"y,x+1/2,z\", \"y,x,z+1/2\", \"y+1/2,x+1/2,z\", \"y+1/2,x,z+1/2\", \"y,x+1/2,z+1/2\", \"y+1/2,x+1/2,z+1/2\"], \"Geometrical Interpretation\": [null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null], \"Transformed WP\": [\"a b c d e f g h\", \"d c b a f e g h\", \"c d a b f e g h\", \"b a d c e f g h\", \"b a d c e f g h\", \"c d a b f e g h\", \"d c b a f e g h\", \"a b c d e f g h\", \"a b d c e f g h\", \"c d b a f e g h\", \"d c a b f e g h\", \"b a c d e f g h\", \"b a c d e f g h\", \"d c a b f e g h\", \"c d b a f e g h\", \"a b d c e f g h\"]}, \n\t\t\"59\": {\"No.\": [\"1\", \"2\", \"3\", \"4\", \"5\", \"6\", \"7\", \"8\", \"9\", \"10\", \"11\", \"12\", \"13\", \"14\", \"15\", \"16\"], \"Coset Representative\": [\"x,y,z\", \"x+1/2,y,z\", \"x,y+1/2,z\", \"x,y,z+1/2\", \"x+1/2,y+1/2,z\", \"x+1/2,y,z+1/2\", \"x,y+1/2,z+1/2\", \"x+1/2,y+1/2,z+1/2\", \"y,x,z\", \"y+1/2,x,z\", \"y,x+1/2,z\", \"y,x,z+1/2\", \"y+1/2,x+1/2,z\", \"y+1/2,x,z+1/2\", \"y,x+1/2,z+1/2\", \"y+1/2,x+1/2,z+1/2\"], \"Geometrical Interpretation\": [null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null], \"Transformed WP\": [\"a b c d e f g\", \"b a c d e f g\", \"b a c d e f g\", \"a b d c e f g\", \"a b c d e f g\", \"b a d c e f g\", \"b a d c e f g\", \"a b d c e f g\", \"a b c d f e g\", \"b a c d f e g\", \"b a c d f e g\", \"a b d c f e g\", \"a b c d f e g\", \"b a d c f e g\", \"b a d c f e g\", \"a b d c f e g\"]}, \n\t\t\"60\": {\"No.\": [\"1\", \"2\", \"3\", \"4\", \"5\", \"6\", \"7\", \"8\"], \"Coset Representative\": [\"x,y,z\", \"x+1/2,y,z\", \"x,y+1/2,z\", \"x,y,z+1/2\", \"x+1/2,y+1/2,z\", \"x+1/2,y,z+1/2\", \"x,y+1/2,z+1/2\", \"x+1/2,y+1/2,z+1/2\"], \"Geometrical Interpretation\": [null, null, null, null, null, null, null, null], \"Transformed WP\": [\"a b c d\", \"b a c d\", \"b a c d\", \"a b c d\", \"a b c d\", \"b a c d\", \"b a c d\", \"a b c d\"]}, \n\t\t\"61\": {\"No.\": [\"1\", \"2\", \"3\", \"4\", \"5\", \"6\", \"7\", \"8\", \"9\", \"10\", \"11\", \"12\", \"13\", \"14\", \"15\", \"16\", \"17\", \"18\", \"19\", \"20\", \"21\", \"22\", \"23\", \"24\"], \"Coset Representative\": [\"x,y,z\", \"x+1/2,y,z\", \"x,y+1/2,z\", \"x,y,z+1/2\", \"x+1/2,y+1/2,z\", \"x+1/2,y,z+1/2\", \"x,y+1/2,z+1/2\", \"x+1/2,y+1/2,z+1/2\", \"z,x,y\", \"z+1/2,x,y\", \"z,x+1/2,y\", \"z,x,y+1/2\", \"z+1/2,x+1/2,y\", \"z+1/2,x,y+1/2\", \"z,x+1/2,y+1/2\", \"z+1/2,x+1/2,y+1/2\", \"y,z,x\", \"y+1/2,z,x\", \"y,z+1/2,x\", \"y,z,x+1/2\", \"y+1/2,z+1/2,x\", \"y+1/2,z,x+1/2\", \"y,z+1/2,x+1/2\", \"y+1/2,z+1/2,x+1/2\"], \"Geometrical Interpretation\": [null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null], \"Transformed WP\": [\"a b c\", \"b a c\", \"b a c\", \"b a c\", \"a b c\", \"a b c\", \"a b c\", \"b a c\", \"a b c\", \"b a c\", \"b a c\", \"b a c\", \"a b c\", \"a b c\", \"a b c\", \"b a c\", \"a b c\", \"b a c\", \"b a c\", \"b a c\", \"a b c\", \"a b c\", \"a b c\", \"b a c\"]}, \n\t\t\"62\": {\"No.\": [\"1\", \"2\", \"3\", \"4\", \"5\", \"6\", \"7\", \"8\"], \"Coset Representative\": [\"x,y,z\", \"x+1/2,y,z\", \"x,y+1/2,z\", \"x,y,z+1/2\", \"x+1/2,y+1/2,z\", \"x+1/2,y,z+1/2\", \"x,y+1/2,z+1/2\", \"x+1/2,y+1/2,z+1/2\"], \"Geometrical Interpretation\": [null, null, null, null, null, null, null, null], \"Transformed WP\": [\"a b c d\", \"b a c d\", \"a b c d\", \"b a c d\", \"b a c d\", \"a b c d\", \"b a c d\", \"a b c d\"]}, \n\t\t\"63\": {\"No.\": [\"1\", \"2\", \"3\", \"4\"], \"Coset Representative\": [\"x,y,z\", \"x+1/2,y,z\", \"x,y,z+1/2\", \"x+1/2,y,z+1/2\"], \"Geometrical Interpretation\": [null, null, null, null], \"Transformed WP\": [\"a b c d e f g h\", \"b a c d e f g h\", \"a b c d e f g h\", \"b a c d e f g h\"]}, \n\t\t\"64\": {\"No.\": [\"1\", \"2\", \"3\", \"4\"], \"Coset Representative\": [\"x,y,z\", \"x+1/2,y,z\", \"x,y,z+1/2\", \"x+1/2,y,z+1/2\"], \"Geometrical Interpretation\": [null, null, null, null], \"Transformed WP\": [\"a b c d e f g\", \"b a c d e f g\", \"b a c d e f g\", \"a b c d e f g\"]}, \n\t\t\"65\": {\"No.\": [\"1\", \"2\", \"3\", \"4\", \"5\", \"6\", \"7\", \"8\"], \"Coset Representative\": [\"x,y,z\", \"x+1/2,y,z\", \"x,y,z+1/2\", \"x+1/2,y,z+1/2\", \"y,x,z\", \"y+1/2,x,z\", \"y,x,z+1/2\", \"y+1/2,x,z+1/2\"], \"Geometrical Interpretation\": [null, null, null, null, null, null, null, null], \"Transformed WP\": [\"a b c d e f g h i j k l m n o p q r\", \"b a d c e f g h i j l k m n o p q r\", \"d c b a f e h g j i k l m n o q p r\", \"c d a b f e h g j i l k m n o q p r\", \"a b c d e f i j g h k l m o n p q r\", \"b a d c e f i j g h l k m o n p q r\", \"d c b a f e j i h g k l m o n q p r\", \"c d a b f e j i h g l k m o n q p r\"]}, \n\t\t\"66\": {\"No.\": [\"1\", \"2\", \"3\", \"4\", \"5\", \"6\", \"7\", \"8\"], \"Coset Representative\": [\"x,y,z\", \"x+1/2,y,z\", \"x,y,z+1/2\", \"x+1/2,y,z+1/2\", \"y,x,z\", \"y+1/2,x,z\", \"y,x,z+1/2\", \"y+1/2,x,z+1/2\"], \"Geometrical Interpretation\": [null, null, null, null, null, null, null, null], \"Transformed WP\": [\"a b c d e f g h i j k l m\", \"b a d c f e g h j i k l m\", \"a b c d f e g h i j k l m\", \"b a d c e f g h j i k l m\", \"a b c d e f h g i j k l m\", \"b a d c f e h g j i k l m\", \"a b c d f e h g i j k l m\", \"b a d c e f h g j i k l m\"]}, \n\t\t\"67\": {\"No.\": [\"1\", \"2\", \"3\", \"4\", \"5\", \"6\", \"7\", \"8\"], \"Coset Representative\": [\"x,y,z\", \"x+1/2,y,z\", \"x,y,z+1/2\", \"x+1/2,y,z+1/2\", \"y+1/4,x-1/4,z\", \"y+3/4,x-1/4,z\", \"y+1/4,x-1/4,z+1/2\", \"y+3/4,x-1/4,z+1/2\"], \"Geometrical Interpretation\": [null, null, null, null, null, null, null, null], \"Transformed WP\": [\"a b c d e f g h i j k l m n o\", \"a b c d e f g h i j k l m n o\", \"b a d c f e g i h k j l m n o\", \"b a d c f e g i h k j l m n o\", \"a b e f c d g j k h i l n m o\", \"a b e f c d g j k h i l n m o\", \"b a f e d c g k j i h l n m o\", \"b a f e d c g k j i h l n m o\"]}, \n\t\t\"68\": {\"No.\": [\"1\", \"2\", \"3\", \"4\", \"5\", \"6\", \"7\", \"8\"], \"Coset Representative\": [\"x,y,z\", \"x+1/2,y,z\", \"x,y,z+1/2\", \"x+1/2,y,z+1/2\", \"y+1/4,x-1/4,z\", \"y+3/4,x-1/4,z\", \"y+1/4,x-1/4,z+1/2\", \"y+3/4,x-1/4,z+1/2\"], \"Geometrical Interpretation\": [null, null, null, null, null, null, null, null], \"Transformed WP\": [\"a b c d e f g h i\", \"b a c d e f g h i\", \"b a c d e f g h i\", \"a b c d e f g h i\", \"a b d c f e g h i\", \"b a d c f e g h i\", \"b a d c f e g h i\", \"a b d c f e g h i\"]}, \n\t\t\"69\": {\"No.\": [\"1\", \"2\", \"3\", \"4\", \"5\", \"6\", \"7\", \"8\", \"9\", \"10\", \"11\", \"12\"], \"Coset Representative\": [\"x,y,z\", \"z,x,y\", \"y,z,x\", \"y,x,z\", \"z,y,x\", \"x,z,y\", \"x+1/2,y,z\", \"z+1/2,x,y\", \"y+1/2,z,x\", \"y+1/2,x,z\", \"z+1/2,y,x\", \"x+1/2,z,y\"], \"Geometrical Interpretation\": [null, null, null, null, null, null, null, null, null, null, null, null], \"Transformed WP\": [\"a b c d e f g h i j k l m n o p\", \"a b e c d f i g h k l j o m n p\", \"a b d e c f h i g l j k n o m p\", \"a b d c e f h g i j l k n m o p\", \"a b e d c f i h g l k j o n m p\", \"a b c e d f g i h k j l m o n p\", \"b a c d e f g h i j k l m n o p\", \"b a e c d f i g h k l j o m n p\", \"b a d e c f h i g l j k n o m p\", \"b a d c e f h g i j l k n m o p\", \"b a e d c f i h g l k j o n m p\", \"b a c e d f g i h k j l m o n p\"]}, \n\t\t\"70\": {\"No.\": [\"1\", \"2\", \"3\", \"4\", \"5\", \"6\", \"7\", \"8\", \"9\", \"10\", \"11\", \"12\"], \"Coset Representative\": [\"x,y,z\", \"z,x,y\", \"y,z,x\", \"y,x,z\", \"z,y,x\", \"x,z,y\", \"x+1/2,y,z\", \"z+1/2,x,y\", \"y+1/2,z,x\", \"y+1/2,x,z\", \"z+1/2,y,x\", \"x+1/2,z,y\"], \"Geometrical Interpretation\": [null, null, null, null, null, null, null, null, null, null, null, null], \"Transformed WP\": [\"a b c d e f g h\", \"a b c d g e f h\", \"a b c d f g e h\", \"a b c d f e g h\", \"a b c d g f e h\", \"a b c d e g f h\", \"b a d c e f g h\", \"b a d c g e f h\", \"b a d c f g e h\", \"b a d c f e g h\", \"b a d c g f e h\", \"b a d c e g f h\"]}, \n\t\t\"71\": {\"No.\": [\"1\", \"2\", \"3\", \"4\", \"5\", \"6\", \"7\", \"8\", \"9\", \"10\", \"11\", \"12\", \"13\", \"14\", \"15\", \"16\", \"17\", \"18\", \"19\", \"20\", \"21\", \"22\", \"23\", \"24\"], \"Coset Representative\": [\"x,y,z\", \"z,x,y\", \"y,z,x\", \"y,x,z\", \"z,y,x\", \"x,z,y\", \"x+1/2,y,z\", \"z+1/2,x,y\", \"y+1/2,z,x\", \"y+1/2,x,z\", \"z+1/2,y,x\", \"x+1/2,z,y\", \"x,y+1/2,z\", \"z,x+1/2,y\", \"y,z+1/2,x\", \"y,x+1/2,z\", \"z,y+1/2,x\", \"x,z+1/2,y\", \"x+1/2,y+1/2,z\", \"z+1/2,x+1/2,y\", \"y+1/2,z+1/2,x\", \"y+1/2,x+1/2,z\", \"z+1/2,y+1/2,x\", \"x+1/2,z+1/2,y\"], \"Geometrical Interpretation\": [null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null], \"Transformed WP\": [\"a b c d e f g h i j k l m n o\", \"a c d b i j e f g h k n l m o\", \"a d b c g h i j e f k m n l o\", \"a d c b g h e f i j k m l n o\", \"a c b d i j g h e f k n m l o\", \"a b d c e f i j g h k l n m o\", \"b a d c e f h g j i k l m n o\", \"c a b d i j f e h g k n l m o\", \"d a c b g h j i f e k m n l o\", \"d a b c g h f e j i k m l n o\", \"c a d b i j h g f e k n m l o\", \"b a c d e f j i h g k l n m o\", \"d c b a f e g h j i k l m n o\", \"b d c a j i e f h g k n l m o\", \"c b d a h g i j f e k m n l o\", \"b c d a h g e f j i k m l n o\", \"d b c a j i g h f e k n m l o\", \"c d b a f e i j h g k l n m o\", \"c d a b f e h g i j k l m n o\", \"d b a c j i f e g h k n l m o\", \"b c a d h g j i e f k m n l o\", \"c b a d h g f e i j k m l n o\", \"b d a c j i h g e f k n m l o\", \"d c a b f e j i g h k l n m o\"]},\n\t\t\"72\": {\"No.\": [\"1\", \"2\", \"3\", \"4\", \"5\", \"6\", \"7\", \"8\"], \"Coset Representative\": [\"x,y,z\", \"x+1/2,y,z\", \"x,y+1/2,z\", \"x+1/2,y+1/2,z\", \"y,x,z\", \"y+1/2,x,z\", \"y,x+1/2,z\", \"y+1/2,x+1/2,z\"], \"Geometrical Interpretation\": [null, null, null, null, null, null, null, null], \"Transformed WP\": [\"a b c d e f g h i j k\", \"b a d c e f g i h j k\", \"b a d c e f g i h j k\", \"a b c d e f g h i j k\", \"a b c d e g f h i j k\", \"b a d c e g f i h j k\", \"b a d c e g f i h j k\", \"a b c d e g f h i j k\"]}, \n\t\t\"73\": {\"No.\": [\"1\", \"2\", \"3\", \"4\", \"5\", \"6\", \"7\", \"8\", \"9\", \"10\", \"11\", \"12\", \"13\", \"14\", \"15\", \"16\", \"17\", \"18\", \"19\", \"20\", \"21\", \"22\", \"23\", \"24\"], \"Coset Representative\": [\"x,y,z\", \"z,x,y\", \"y,z,x\", \"y+1/4,x+1/4,z+1/4\", \"z+1/4,y+1/4,x+1/4\", \"x+1/4,z+1/4,y+1/4\", \"x+1/2,y,z\", \"z+1/2,x,y\", \"y+1/2,z,x\", \"y+3/4,x+1/4,z+1/4\", \"z+3/4,y+1/4,x+1/4\", \"x+3/4,z+1/4,y+1/4\", \"x,y+1/2,z\", \"z,x+1/2,y\", \"y,z+1/2,x\", \"y+1/4,x+3/4,z+1/4\", \"z+1/4,y+3/4,x+1/4\", \"x+1/4,z+3/4,y+1/4\", \"x+1/2,y+1/2,z\", \"z+1/2,x+1/2,y\", \"y+1/2,z+1/2,x\", \"y+3/4,x+3/4,z+1/4\", \"z+3/4,y+3/4,x+1/4\", \"x+3/4,z+3/4,y+1/4\"], \"Geometrical Interpretation\": [null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null], \"Transformed WP\": [\"a b c d e f\", \"a b e c d f\", \"a b d e c f\", \"b a d c e f\", \"b a e d c f\", \"b a c e d f\", \"a b c d e f\", \"a b e c d f\", \"a b d e c f\", \"b a d c e f\", \"b a e d c f\", \"b a c e d f\", \"a b c d e f\", \"a b e c d f\", \"a b d e c f\", \"b a d c e f\", \"b a e d c f\", \"b a c e d f\", \"a b c d e f\", \"a b e c d f\", \"a b d e c f\", \"b a d c e f\", \"b a e d c f\", \"b a c e d f\"]}, \n\t\t\"74\": {\"No.\": [\"1\", \"2\", \"3\", \"4\", \"5\", \"6\", \"7\", \"8\"], \"Coset Representative\": [\"x,y,z\", \"x+1/2,y,z\", \"x,y+1/2,z\", \"x+1/2,y+1/2,z\", \"y+1/4,x-1/4,z+1/4\", \"y+3/4,x-1/4,z+1/4\", \"y+1/4,x+1/4,z+1/4\", \"y+3/4,x+1/4,z+1/4\"], \"Geometrical Interpretation\": [null, null, null, null, null, null, null, null], \"Transformed WP\": [\"a b c d e f g h i j\", \"b a c d e f g h i j\", \"a b d c e f g h i j\", \"b a d c e f g h i j\", \"c d b a e g f i h j\", \"d c b a e g f i h j\", \"c d a b e g f i h j\", \"d c a b e g f i h j\"]}, \n\t\t\"75\": {\"No.\": [\"1\", \"2\", \"3\", \"4\", \"5\", \"6\", \"7\", \"8\"], \"Coset Representative\": [\"x,y,z\", \"x+1/2,y+1/2,z\", \"y,x,z\", \"y+1/2,x+1/2,z\", \"-x,-y,-z\", \"-x+1/2,-y+1/2,-z\", \"-y,-x,-z\", \"-y+1/2,-x+1/2,-z\"], \"Geometrical Interpretation\": [\"1\", \"t (1/2,1/2,0)\", \"m x,x,z\", \"g (1/2,1/2,0) x,x,z\", \"-1 0,0,0\", \"-1 1/4,1/4,0\", \"2 x,-x,0\", \"2 x,-x+1/2,0\"], \"Transformed WP\": [\"a b c d\", \"b a c d\", \"a b c d\", \"b a c d\", \"a b c d\", \"b a c d\", \"a b c d\", \"b a c d\"]}, \n\t\t\"76\": {\"No.\": [\"1\", \"2\", \"3\", \"4\"], \"Coset Representative\": [\"x,y,z\", \"x+1/2,y+1/2,z\", \"y,x,-z\", \"y+1/2,x+1/2,-z\"], \"Geometrical Interpretation\": [\"1\", \"t (1/2,1/2,0)\", \"2 x,x,0\", \"2 (1/2,1/2,0) x,x,0\"], \"Transformed WP\": [\"a\", \"a\", \"a\", \"a\"]}, \n\t\t\"77\": {\"No.\": [\"1\", \"2\", \"3\", \"4\", \"5\", \"6\", \"7\", \"8\"], \"Coset Representative\": [\"x,y,z\", \"x+1/2,y+1/2,z\", \"y,x,z\", \"y+1/2,x+1/2,z\", \"-x,-y,-z\", \"-x+1/2,-y+1/2,-z\", \"-y,-x,-z\", \"-y+1/2,-x+1/2,-z\"], \"Geometrical Interpretation\": [\"1\", \"t (1/2,1/2,0)\", \"m x,x,z\", \"g (1/2,1/2,0) x,x,z\", \"-1 0,0,0\", \"-1 1/4,1/4,0\", \"2 x,-x,0\", \"2 x,-x+1/2,0\"], \"Transformed WP\": [\"a b c d\", \"b a c d\", \"a b c d\", \"b a c d\", \"a b c d\", \"b a c d\", \"a b c d\", \"b a c d\"]}, \n\t\t\"78\": {\"No.\": [\"1\", \"2\", \"3\", \"4\"], \"Coset Representative\": [\"x,y,z\", \"x+1/2,y+1/2,z\", \"y,x,-z\", \"y+1/2,x+1/2,-z\"], \"Geometrical Interpretation\": [\"1\", \"t (1/2,1/2,0)\", \"2 x,x,0\", \"2 (1/2,1/2,0) x,x,0\"], \"Transformed WP\": [\"a\", \"a\", \"a\", \"a\"]}, \n\t\t\"79\": {\"No.\": [\"1\", \"2\", \"3\", \"4\"], \"Coset Representative\": [\"x,y,z\", \"-x,-y,-z\", \"y,x,z\", \"-y,-x,-z\"], \"Geometrical Interpretation\": [\"1\", \"-1 0,0,0\", \"m x,x,z\", \"2 x,-x,0\"], \"Transformed WP\": [\"a b c\", \"a b c\", \"a b c\", \"a b c\"]}, \n\t\t\"80\": {\"No.\": [\"1\", \"2\", \"3\", \"4\"], \"Coset Representative\": [\"x,y,z\", \"-x+1/2,-y,-z\", \"y,x,-z\", \"-y+1/2,-x,z\"], \"Geometrical Interpretation\": [\"1\", \"-1 1/4,0,0\", \"2 x,x,0\", \"g (1/4,-1/4,0) x+1/4,-x,z\"], \"Transformed WP\": [\"a b\", \"a b\", \"a b\", \"a b\"]}, \n\t\t\"81\": {\"No.\": [\"1\", \"2\", \"3\", \"4\", \"5\", \"6\", \"7\", \"8\", \"9\", \"10\", \"11\", \"12\", \"13\", \"14\", \"15\", \"16\"], \"Coset Representative\": [\"x,y,z\", \"x+1/2,y+1/2,z\", \"x,y,z+1/2\", \"x+1/2,y+1/2,z+1/2\", \"y,x,z\", \"y+1/2,x+1/2,z\", \"y,x,z+1/2\", \"y+1/2,x+1/2,z+1/2\", \"-x,-y,-z\", \"-x+1/2,-y+1/2,-z\", \"-x,-y,-z+1/2\", \"-x+1/2,-y+1/2,-z+1/2\", \"-y,-x,-z\", \"-y+1/2,-x+1/2,-z\", \"-y,-x,-z+1/2\", \"-y+1/2,-x+1/2,-z+1/2\"], \"Geometrical Interpretation\": [\"1\", \"t (1/2,1/2,0)\", \"t (0,0,1/2)\", \"t (1/2,1/2,1/2)\", \"m x,x,z\", \"g (1/2,1/2,0) x,x,z\", \"c x,x,z\", \"n (1/2,1/2,1/2) x,x,z\", \"-1 0,0,0\", \"-1 1/4,1/4,0\", \"-1 0,0,1/4\", \"-1 1/4,1/4,1/4\", \"2 x,-x,0\", \"2 x,-x+1/2,0\", \"2 x,-x,1/4\", \"2 x,-x+1/2,1/4\"], \"Transformed WP\": [\"a b c d e f g h\", \"c d a b f e g h\", \"b a d c e f g h\", \"d c b a f e g h\", \"a b c d e f g h\", \"c d a b f e g h\", \"b a d c e f g h\", \"d c b a f e g h\", \"a b c d e f g h\", \"c d a b f e g h\", \"b a d c e f g h\", \"d c b a f e g h\", \"a b c d e f g h\", \"c d a b f e g h\", \"b a d c e f g h\", \"d c b a f e g h\"]}, \n\t\t\"82\": {\"No.\": [\"1\", \"2\", \"3\", \"4\", \"5\", \"6\", \"7\", \"8\", \"9\", \"10\", \"11\", \"12\", \"13\", \"14\", \"15\", \"16\"], \"Coset Representative\": [\"x,y,z\", \"x+1/2,y,z+1/4\", \"x,y,z+1/2\", \"x+1/2,y,z+3/4\", \"-x,-y,-z\", \"-x+1/2,-y,-z+1/4\", \"-x,-y,-z+1/2\", \"-x+1/2,-y,-z+3/4\", \"y,x,z\", \"y+1/2,x,z+1/4\", \"y,x,z+1/2\", \"y+1/2,x,z+3/4\", \"-y,-x,-z\", \"-y+1/2,-x,-z+1/4\", \"-y,-x,-z+1/2\", \"-y+1/2,-x,-z+3/4\"], \"Geometrical Interpretation\": [\"1\", \"t (1/2,0,1/4)\", \"t (0,0,1/2)\", \"t (1/2,0,3/4)\", \"-1 0,0,0\", \"-1 1/4,0,1/8\", \"-1 0,0,1/4\", \"-1 1/4,0,3/8\", \"m x,x,z\", \"d (1/4,1/4,1/4) x+1/4,x,z\", \"c x,x,z\", \"d (1/4,1/4,3/4) x+1/4,x,z\", \"2 x,-x,0\", \"2 (1/4,-1/4,0) x,-x+1/4,1/8\", \"2 x,-x,1/4\", \"2 (1/4,-1/4,0) x,-x+1/4,3/8\"], \"Transformed WP\": [\"a b c d e f g \", \"c d b a f e g \", \"b a d c e f g\", \"d c a b f e g\", \"a b d c e f g \", \"d c b a f e g\", \"b a c d e f g \", \"c d a b f e g\", \"a b d c e f g \", \"d c b a f e g\", \"b a c d e f g \", \"c d a b f e g\", \"a b c d e f g \", \"c d b a f e g \", \"b a d c e f g\", \"d c a b f e g\"]}, \n\t\t\"83\": {\"No.\": [\"1\", \"2\", \"3\", \"4\", \"5\", \"6\", \"7\", \"8\"], \"Coset Representative\": [\"x,y,z\", \"x+1/2,y+1/2,z\", \"x,y,z+1/2\", \"x+1/2,y+1/2,z+1/2\", \"y,x,z\", \"y+1/2,x+1/2,z\", \"y,x,z+1/2\", \"y+1/2,x+1/2,z+1/2\"], \"Geometrical Interpretation\": [\"1\", \"t (1/2,1/2,0)\", \"t (0,0,1/2)\", \"t (1/2,1/2,1/2)\", \"m x,x,z\", \"g (1/2,1/2,0) x,x,z\", \"c x,x,z\", \"n (1/2,1/2,1/2) x,x,z\"], \"Transformed WP\": [\"a b c d e f g h i j k l\", \"c d a b e f h g i j k l\", \"b a d c f e g h i k j l\", \"d c b a f e h g i k j l\", \"a b c d e f g h i j k l\", \"c d a b e f h g i j k l\", \"b a d c f e g h i k j l\", \"d c b a f e h g i k j l\"]}, \n\t\t\"84\": {\"No.\": [\"1\", \"2\", \"3\", \"4\", \"5\", \"6\", \"7\", \"8\"], \"Coset Representative\": [\"x,y,z\", \"x+1/2,y+1/2,z\", \"x,y,z+1/2\", \"x+1/2,y+1/2,z+1/2\", \"y,x,z\", \"y+1/2,x+1/2,z\", \"y,x,z+1/2\", \"y+1/2,x+1/2,z+1/2\"], \"Geometrical Interpretation\": [\"1\", \"t (1/2,1/2,0)\", \"t (0,0,1/2)\", \"t (1/2,1/2,1/2)\", \"m x,x,z\", \"g (1/2,1/2,0) x,x,z\", \"c x,x,z\", \"n (1/2,1/2,1/2) x,x,z\"], \"Transformed WP\": [\"a b c d e f g h i j k\", \"b a d c f e h g i j k\", \"a b d c e f g h i j k\", \"b a c d f e h g i j k\", \"a b d c e f g h i j k\", \"b a c d f e h g i j k\", \"a b c d e f g h i j k\", \"b a d c f e h g i j k\"]}, \n\t\t\"85\": {\"No.\": [\"1\", \"2\", \"3\", \"4\", \"5\", \"6\", \"7\", \"8\"], \"Coset Representative\": [\"x,y,z\", \"x+1/2,y+1/2,z\", \"x,y,z+1/2\", \"x+1/2,y+1/2,z+1/2\", \"y,x,z\", \"y+1/2,x+1/2,z\", \"y,x,z+1/2\", \"y+1/2,x+1/2,z+1/2\"], \"Geometrical Interpretation\": [\"1\", \"t (1/2,1/2,0)\", \"t (0,0,1/2)\", \"t (1/2,1/2,1/2)\", \"m x,x,z\", \"g (1/2,1/2,0) x,x,z\", \"c x,x,z\", \"n (1/2,1/2,1/2) x,x,z\"], \"Transformed WP\": [\"a b c d e f g\", \"a b c d e f g\", \"b a c e d f g\", \"b a c e d f g\", \"a b c d e f g\", \"a b c d e f g\", \"b a c e d f g\", \"b a c e d f g\"]}, \n\t\t\"86\": {\"No.\": [\"1\", \"2\", \"3\", \"4\", \"5\", \"6\", \"7\", \"8\"], \"Coset Representative\": [\"x,y,z\", \"x+1/2,y+1/2,z\", \"x,y,z+1/2\", \"x+1/2,y+1/2,z+1/2\", \"y,x,z\", \"y+1/2,x+1/2,z\", \"y,x,z+1/2\", \"y+1/2,x+1/2,z+1/2\"], \"Geometrical Interpretation\": [\"1\", \"t (1/2,1/2,0)\", \"t (0,0,1/2)\", \"t (1/2,1/2,1/2)\", \"m x,x,z\", \"g (1/2,1/2,0) x,x,z\", \"c x,x,z\", \"n (1/2,1/2,1/2) x,x,z\"], \"Transformed WP\": [\"a b c d e f g\", \"b a c d e f g\", \"b a d c e f g\", \"a b d c e f g\", \"a b c d e f g\", \"b a c d e f g\", \"b a d c e f g\", \"a b d c e f g\"]}, \n\t\t\"87\": {\"No.\": [\"1\", \"2\", \"3\", \"4\"], \"Coset Representative\": [\"x,y,z\", \"x,y,z+1/2\", \"y,x,z\", \"y,x,z+1/2\"], \"Geometrical Interpretation\": [\"1\", \"t (0,0,1/2)\", \"m x,x,z\", \"c x,x,z\"], \"Transformed WP\": [\"a b c d e f g h i\", \"b a c d e f g h i\", \"a b c d e f g h i\", \"b a c d e f g h i\"]}, \n\t\t\"88\": {\"No.\": [\"1\", \"2\", \"3\", \"4\"], \"Coset Representative\": [\"x,y,z\", \"x,y,z+1/2\", \"y+1/4,x+1/4,z+1/4\", \"y+1/4,x+1/4,z+3/4\"], \"Geometrical Interpretation\": [\"1\", \"t (0,0,1/2)\", \"d (1/4,1/4,1/4) x,x,z\", \"d (1/4,1/4,3/4) x,x,z\"], \"Transformed WP\": [\"a b c d e f\", \"b a d c e f\", \"a b c d e f\", \"b a d c e f\"]}, \n\t\t\"89\": {\"No.\": [\"1\", \"2\", \"3\", \"4\", \"5\", \"6\", \"7\", \"8\"], \"Coset Representative\": [\"x,y,z\", \"x+1/2,y+1/2,z\", \"x,y,z+1/2\", \"x+1/2,y+1/2,z+1/2\", \"-x,-y,-z\", \"-x+1/2,-y+1/2,-z\", \"-x,-y,-z+1/2\", \"-x+1/2,-y+1/2,-z+1/2\"], \"Geometrical Interpretation\": [\"1\", \"t (1/2,1/2,0)\", \"t (0,0,1/2)\", \"t (1/2,1/2,1/2)\", \"-1 0,0,0\", \"-1 1/4,1/4,0\", \"-1 0,0,1/4\", \"-1 1/4,1/4,1/4\"], \"Transformed WP\": [\"a b c d e f g h i j k l m n o p\", \"c d a b e f h g i j k o n m l p\", \"b a d c f e g h i k j n o l m p\", \"d c b a f e h g i k j m l o n p\", \"a b c d e f g h i j k l m n o p\", \"c d a b e f h g i j k o n m l p\", \"b a d c f e g h i k j n o l m p\", \"d c b a f e h g i k j m l o n p\"]}, \n\t\t\"90\": {\"No.\": [\"1\", \"2\", \"3\", \"4\", \"5\", \"6\", \"7\", \"8\"], \"Coset Representative\": [\"x,y,z\", \"x+1/2,y+1/2,z\", \"x,y,z+1/2\", \"x+1/2,y+1/2,z+1/2\", \"-x,-y,-z\", \"-x+1/2,-y+1/2,-z\", \"-x,-y,-z+1/2\", \"-x+1/2,-y+1/2,-z+1/2\"], \"Geometrical Interpretation\": [\"1\", \"t (1/2,1/2,0)\", \"t (0,0,1/2)\", \"t (1/2,1/2,1/2)\", \"-1 0,0,0\", \"-1 1/4,1/4,0\", \"-1 0,0,1/4\", \"-1 1/4,1/4,1/4\"], \"Transformed WP\": [\"a b c d e f g\", \"a b c d e f g\", \"b a c d f e g\", \"b a c d f e g\", \"a b c d e f g\", \"a b c d e f g\", \"b a c d f e g\", \"b a c d f e g\"]}, \n\t\t\"91\": {\"No.\": [\"1\", \"2\", \"3\", \"4\"], \"Coset Representative\": [\"x,y,z\", \"x+1/2,y+1/2,z\", \"x,y,z+1/2\", \"x+1/2,y+1/2,z+1/2\"], \"Geometrical Interpretation\": [\"1\", \"t (1/2,1/2,0)\", \"t (0,0,1/2)\", \"t (1/2,1/2,1/2)\"], \"Transformed WP\": [\"a b c d\", \"b a c d\", \"a b c d\", \"b a c d\"]}, \n\t\t\"92\": {\"No.\": [\"1\", \"2\", \"3\", \"4\"], \"Coset Representative\": [\"x,y,z\", \"x+1/2,y+1/2,z\", \"x,y,z+1/2\", \"x+1/2,y+1/2,z+1/2\"], \"Geometrical Interpretation\": [\"1\", \"t (1/2,1/2,0)\", \"t (0,0,1/2)\", \"t (1/2,1/2,1/2)\"], \"Transformed WP\": [\"a b\", \"a b\", \"a b\", \"a b\"]}, \n\t\t\"93\": {\"No.\": [\"1\", \"2\", \"3\", \"4\", \"5\", \"6\", \"7\", \"8\"], \"Coset Representative\": [\"x,y,z\", \"x+1/2,y+1/2,z\", \"x,y,z+1/2\", \"x+1/2,y+1/2,z+1/2\", \"-x,-y,-z\", \"-x+1/2,-y+1/2,-z\", \"-x,-y,-z+1/2\", \"-x+1/2,-y+1/2,-z+1/2\"], \"Geometrical Interpretation\": [\"1\", \"t (1/2,1/2,0)\", \"t (0,0,1/2)\", \"t (1/2,1/2,1/2)\", \"-1 0,0,0\", \"-1 1/4,1/4,0\", \"-1 0,0,1/4\", \"-1 1/4,1/4,1/4\"], \"Transformed WP\": [\"a b c d e f g h i j k l m n o p\", \"b a d c f e h g i m l k j n o p\", \"a b d c e f g h i l m j k o n p\", \"b a c d f e h g i k j m l o n p\", \"a b c d e f g h i j k l m o n p\", \"b a d c f e h g i m l k j o n p\", \"a b d c e f g h i l m j k n o p\", \"b a c d f e h g i k j m l n o p\"]}, \n\t\t\"94\": {\"No.\": [\"1\", \"2\", \"3\", \"4\", \"5\", \"6\", \"7\", \"8\"], \"Coset Representative\": [\"x,y,z\", \"x+1/2,y+1/2,z\", \"x,y,z+1/2\", \"x+1/2,y+1/2,z+1/2\", \"-x,-y,-z\", \"-x+1/2,-y+1/2,-z\", \"-x,-y,-z+1/2\", \"-x+1/2,-y+1/2,-z+1/2\"], \"Geometrical Interpretation\": [\"1\", \"t (1/2,1/2,0)\", \"t (0,0,1/2)\", \"t (1/2,1/2,1/2)\", \"-1 0,0,0\", \"-1 1/4,1/4,0\", \"-1 0,0,1/4\", \"-1 1/4,1/4,1/4\"], \"Transformed WP\": [\"a b c d e f g\", \"b a c d e f g\", \"b a c d f e g\", \"a b c d f e g\", \"a b c d e f g\", \"b a c d e f g\", \"b a c d f e g\", \"a b c d f e g\"]}, \n\t\t\"95\": {\"No.\": [\"1\", \"2\", \"3\", \"4\"], \"Coset Representative\": [\"x,y,z\", \"x+1/2,y+1/2,z\", \"x,y,z+1/2\", \"x+1/2,y+1/2,z+1/2\"], \"Geometrical Interpretation\": [\"1\", \"t (1/2,1/2,0)\", \"t (0,0,1/2)\", \"t (1/2,1/2,1/2)\"], \"Transformed WP\": [\"a b c d\", \"b a c d\", \"a b c d\", \"b a c d\"]}, \n\t\t\"96\": {\"No.\": [\"1\", \"2\", \"3\", \"4\"], \"Coset Representative\": [\"x,y,z\", \"x+1/2,y+1/2,z\", \"x,y,z+1/2\", \"x+1/2,y+1/2,z+1/2\"], \"Geometrical Interpretation\": [\"1\", \"t (1/2,1/2,0)\", \"t (0,0,1/2)\", \"t (1/2,1/2,1/2)\"], \"Transformed WP\": [\"a b\", \"a b\", \"a b\", \"a b\"]}, \n\t\t\"97\": {\"No.\": [\"1\", \"2\", \"3\", \"4\"], \"Coset Representative\": [\"x,y,z\", \"x,y,z+1/2\", \"-x,-y,-z\", \"-x,-y,-z+1/2\"], \"Geometrical Interpretation\": [\"1\", \"t (0,0,1/2)\", \"-1 0,0,0\", \"-1 0,0,1/4\"], \"Transformed WP\": [\"a b c d e f g h i j k\", \"b a c d e f g i h j k\", \"a b c d e f g h i j k\", \"b a c d e f g i h j k\"]}, \n\t\t\"98\": {\"No.\": [\"1\", \"2\", \"3\", \"4\"], \"Coset Representative\": [\"x,y,z\", \"x,y,z+1/2\", \"-x+1/2,-y,-z+1/4\", \"-x+1/2,-y,-z+3/4\"], \"Geometrical Interpretation\": [\"1\", \"t (0,0,1/2)\", \"-1 1/4,0,1/8\", \"-1 1/4,0,3/8\"], \"Transformed WP\": [\"a b c d e f g\", \"b a c d e f g\", \"b a c e d f g\", \"a b c e d f g\"]}, \n\t\t\"99\": {\"No.\": [\"1\", \"2\", \"3\", \"4\"], \"Coset Representative\": [\"x,y,z\", \"x+1/2,y+1/2,z\", \"-x,-y,-z\", \"-x+1/2,-y+1/2,-z\"], \"Geometrical Interpretation\": [\"1\", \"t (1/2,1/2,0)\", \"-1 0,0,0\", \"-1 1/4,1/4,0\"], \"Transformed WP\": [\"a b c d e f g\", \"b a c d f e g\", \"a b c d e f g\", \"b a c d f e g\"]}, \n\t\t\"100\": {\"No.\": [\"1\", \"2\", \"3\", \"4\"], \"Coset Representative\": [\"x,y,z\", \"x+1/2,y+1/2,z\", \"-x,-y,-z\", \"-x+1/2,-y+1/2,-z\"], \"Geometrical Interpretation\": [\"1\", \"t (1/2,1/2,0)\", \"-1 0,0,0\", \"-1 1/4,1/4,0\"], \"Transformed WP\": [\"a b c d\", \"a b c d\", \"a b c d\", \"a b c d\"]}, \n\t\t\"101\": {\"No.\": [\"1\", \"2\", \"3\", \"4\"], \"Coset Representative\": [\"x,y,z\", \"x+1/2,y+1/2,z\", \"-x,-y,-z\", \"-x+1/2,-y+1/2,-z\"], \"Geometrical Interpretation\": [\"1\", \"t (1/2,1/2,0)\", \"-1 0,0,0\", \"-1 1/4,1/4,0\"], \"Transformed WP\": [\"a b c d e\", \"b a c d e\", \"a b c d e\", \"b a c d e\"]}, \n\t\t\"102\": {\"No.\": [\"1\", \"2\", \"3\", \"4\"], \"Coset Representative\": [\"x,y,z\", \"x+1/2,y+1/2,z\", \"-x,-y,-z\", \"-x+1/2,-y+1/2,-z\"], \"Geometrical Interpretation\": [\"1\", \"t (1/2,1/2,0)\", \"-1 0,0,0\", \"-1 1/4,1/4,0\"], \"Transformed WP\": [\"a b c d\", \"a b c d\", \"a b c d\", \"a b c d\"]}, \n\t\t\"103\": {\"No.\": [\"1\", \"2\", \"3\", \"4\"], \"Coset Representative\": [\"x,y,z\", \"x+1/2,y+1/2,z\", \"-x,-y,-z\", \"-x+1/2,-y+1/2,-z\"], \"Geometrical Interpretation\": [\"1\", \"t (1/2,1/2,0)\", \"-1 0,0,0\", \"-1 1/4,1/4,0\"], \"Transformed WP\": [\"a b c d\", \"b a c d\", \"a b c d\", \"b a c d\"]}, \n\t\t\"104\": {\"No.\": [\"1\", \"2\", \"3\", \"4\"], \"Coset Representative\": [\"x,y,z\", \"x+1/2,y+1/2,z\", \"-x,-y,-z\", \"-x+1/2,-y+1/2,-z\"], \"Geometrical Interpretation\": [\"1\", \"t (1/2,1/2,0)\", \"-1 0,0,0\", \"-1 1/4,1/4,0\"], \"Transformed WP\": [\"a b c\", \"a b c\", \"a b c\", \"a b c\"]}, \n\t\t\"105\": {\"No.\": [\"1\", \"2\", \"3\", \"4\"], \"Coset Representative\": [\"x,y,z\", \"x+1/2,y+1/2,z\", \"-x,-y,-z\", \"-x+1/2,-y+1/2,-z\"], \"Geometrical Interpretation\": [\"1\", \"t (1/2,1/2,0)\", \"-1 0,0,0\", \"-1 1/4,1/4,0\"], \"Transformed WP\": [\"a b c d e f\", \"b a c e d f\", \"a b c d e f\", \"b a c e d f\"]}, \n\t\t\"106\": {\"No.\": [\"1\", \"2\", \"3\", \"4\"], \"Coset Representative\": [\"x,y,z\", \"x+1/2,y+1/2,z\", \"-x,-y,-z\", \"-x+1/2,-y+1/2,-z\"], \"Geometrical Interpretation\": [\"1\", \"t (1/2,1/2,0)\", \"-1 0,0,0\", \"-1 1/4,1/4,0\"], \"Transformed WP\": [\"a b c\", \"a b c\", \"a b c\", \"a b c\"]}, \n\t\t\"107\": {\"No.\": [\"1\", \"2\"], \"Coset Representative\": [\"x,y,z\", \"-x,-y,-z\"], \"Geometrical Interpretation\": [\"1\", \"-1 0,0,0\"], \"Transformed WP\": [\"a b c d e\", \"a b c d e\"]}, \n\t\t\"108\": {\"No.\": [\"1\", \"2\"], \"Coset Representative\": [\"x,y,z\", \"-x,-y,-z\"], \"Geometrical Interpretation\": [\"1\", \"-1 0,0,0\"], \"Transformed WP\": [\"a b c d\", \"a b c d\"]}, \n\t\t\"109\": {\"No.\": [\"1\", \"2\"], \"Coset Representative\": [\"x,y,z\", \"-x+1/2,-y,-z\"], \"Geometrical Interpretation\": [\"1\", \"-1 1/4,0,0\"], \"Transformed WP\": [\"a b c\", \"a b c\"]}, \n\t\t\"110\": {\"No.\": [\"1\", \"2\"], \"Coset Representative\": [\"x,y,z\", \"-x+1/2,-y,-z\"], \"Geometrical Interpretation\": [\"1\", \"-1 1/4,0,0\"], \"Transformed WP\": [\"a b\", \"a b\"]}, \n\t\t\"111\": {\"No.\": [\"1\", \"2\", \"3\", \"4\", \"5\", \"6\", \"7\", \"8\"], \"Coset Representative\": [\"x,y,z\", \"x+1/2,y+1/2,z\", \"x,y,z+1/2\", \"x+1/2,y+1/2,z+1/2\", \"-x,-y,-z\", \"-x+1/2,-y+1/2,-z\", \"-x,-y,-z+1/2\", \"-x+1/2,-y+1/2,-z+1/2\"], \"Geometrical Interpretation\": [\"1\", \"t (1/2,1/2,0)\", \"t (0,0,1/2)\", \"t (1/2,1/2,1/2)\", \"-1 0,0,0\", \"-1 1/4,1/4,0\", \"-1 0,0,1/4\", \"-1 1/4,1/4,1/4\"], \"Transformed WP\": [\"a b c d e f g h i j k l m n o\", \"d c b a e f h g l k j i m n o\", \"c d a b f e g h k l i j m n o \", \"b a d c f e h g j i l k m n o\", \"a b c d e f g h i j k l m n o\", \"d c b a e f h g l k j i m n o\", \"c d a b f e g h k l i j m n o \", \"b a d c f e h g j i l k m n o\"]}, \n\t\t\"112\": {\"No.\": [\"1\", \"2\", \"3\", \"4\", \"5\", \"6\", \"7\", \"8\"], \"Coset Representative\": [\"x,y,z\", \"x+1/2,y+1/2,z\", \"x,y,z+1/2\", \"x+1/2,y+1/2,z+1/2\", \"-x,-y,-z\", \"-x+1/2,-y+1/2,-z\", \"-x,-y,-z+1/2\", \"-x+1/2,-y+1/2,-z+1/2\"], \"Geometrical Interpretation\": [\"1\", \"t (1/2,1/2,0)\", \"t (0,0,1/2)\", \"t (1/2,1/2,1/2)\", \"-1 0,0,0\", \"-1 1/4,1/4,0\", \"-1 0,0,1/4\", \"-1 1/4,1/4,1/4\"], \"Transformed WP\": [\"a b c d e f g h i j k l m n\", \"c d a b f e i j g h l k m n\", \"a d c b e f j i h g k l m n\", \"c b a d f e h g j i l k m n\", \"a d c b e f j i h g k l m n\", \"c b a d f e h g j i l k m n\", \"a b c d e f g h i j k l m n\", \"c d a b f e i j g h l k m n\"]}, \n\t\t\"113\": {\"No.\": [\"1\", \"2\", \"3\", \"4\", \"5\", \"6\", \"7\", \"8\"], \"Coset Representative\": [\"x,y,z\", \"x+1/2,y+1/2,z\", \"x,y,z+1/2\", \"x+1/2,y+1/2,z+1/2\", \"-x,-y,-z\", \"-x+1/2,-y+1/2,-z\", \"-x,-y,-z+1/2\", \"-x+1/2,-y+1/2,-z+1/2\"], \"Geometrical Interpretation\": [\"1\", \"t (1/2,1/2,0)\", \"t (0,0,1/2)\", \"t (1/2,1/2,1/2)\", \"-1 0,0,0\", \"-1 1/4,1/4,0\", \"-1 0,0,1/4\", \"-1 1/4,1/4,1/4\"], \"Transformed WP\": [\"a b c d e f\", \"a b c d e f\", \"b a c d e f\", \"b a c d e f\", \"a b c d e f\", \"a b c d e f\", \"b a c d e f\", \"b a c d e f\"]}, \n\t\t\"114\": {\"No.\": [\"1\", \"2\", \"3\", \"4\", \"5\", \"6\", \"7\", \"8\"], \"Coset Representative\": [\"x,y,z\", \"x+1/2,y+1/2,z\", \"x,y,z+1/2\", \"x+1/2,y+1/2,z+1/2\", \"-x,-y,-z\", \"-x+1/2,-y+1/2,-z\", \"-x,-y,-z+1/2\", \"-x+1/2,-y+1/2,-z+1/2\"], \"Geometrical Interpretation\": [\"1\", \"t (1/2,1/2,0)\", \"t (0,0,1/2)\", \"t (1/2,1/2,1/2)\", \"-1 0,0,0\", \"-1 1/4,1/4,0\", \"-1 0,0,1/4\", \"-1 1/4,1/4,1/4\"], \"Transformed WP\": [\"a b c d e\", \"b a c d e\", \"b a c d e\", \"a b c d e\", \"a b c d e\", \"b a c d e\", \"b a c d e\", \"a b c d e\"]}, \n\t\t\"115\": {\"No.\": [\"1\", \"2\", \"3\", \"4\", \"5\", \"6\", \"7\", \"8\"], \"Coset Representative\": [\"x,y,z\", \"x+1/2,y+1/2,z\", \"x,y,z+1/2\", \"x+1/2,y+1/2,z+1/2\", \"-x,-y,-z\", \"-x+1/2,-y+1/2,-z\", \"-x,-y,-z+1/2\", \"-x+1/2,-y+1/2,-z+1/2\"], \"Geometrical Interpretation\": [\"1\", \"t (1/2,1/2,0)\", \"t (0,0,1/2)\", \"t (1/2,1/2,1/2)\", \"-1 0,0,0\", \"-1 1/4,1/4,0\", \"-1 0,0,1/4\", \"-1 1/4,1/4,1/4\"], \"Transformed WP\": [\"a b c d e f g h i j k l\", \"b a d c f e g h i k j l\", \"d c b a e f g i h j k l\", \"c d a b f e g i h k j l\", \"a b c d e f g h i j k l\", \"b a d c f e g h i k j l\", \"d c b a e f g i h j k l\", \"c d a b f e g i h k j l\"]}, \n\t\t\"116\": {\"No.\": [\"1\", \"2\", \"3\", \"4\", \"5\", \"6\", \"7\", \"8\"], \"Coset Representative\": [\"x,y,z\", \"x+1/2,y+1/2,z\", \"x,y,z+1/2\", \"x+1/2,y+1/2,z+1/2\", \"-x,-y,-z\", \"-x+1/2,-y+1/2,-z\", \"-x,-y,-z+1/2\", \"-x+1/2,-y+1/2,-z+1/2\"], \"Geometrical Interpretation\": [\"1\", \"t (1/2,1/2,0)\", \"t (0,0,1/2)\", \"t (1/2,1/2,1/2)\", \"-1 0,0,0\", \"-1 1/4,1/4,0\", \"-1 0,0,1/4\", \"-1 1/4,1/4,1/4\"], \"Transformed WP\": [\"a b c d e f g h i j\", \"b a d c e f h g i j\", \"a b c d f e g h i j\", \"b a d c f e h g i j\", \"a b c d f e g h i j\", \"b a d c f e h g i j\", \"a b c d e f g h i j\", \"b a d c e f h g i j\"]}, \n\t\t\"117\": {\"No.\": [\"1\", \"2\", \"3\", \"4\", \"5\", \"6\", \"7\", \"8\"], \"Coset Representative\": [\"x,y,z\", \"x+1/2,y+1/2,z\", \"x,y,z+1/2\", \"x+1/2,y+1/2,z+1/2\", \"-x,-y,-z\", \"-x+1/2,-y+1/2,-z\", \"-x,-y,-z+1/2\", \"-x+1/2,-y+1/2,-z+1/2\"], \"Geometrical Interpretation\": [\"1\", \"t (1/2,1/2,0)\", \"t (0,0,1/2)\", \"t (1/2,1/2,1/2)\", \"-1 0,0,0\", \"-1 1/4,1/4,0\", \"-1 0,0,1/4\", \"-1 1/4,1/4,1/4\"], \"Transformed WP\": [\"a b c d e f g h i\", \"a b c d e f g h i\", \"b a d c e f h g i\", \"b a d c e f h g i\", \"a b c d e f g h i\", \"a b c d e f g h i\", \"b a d c e f h g i\", \"b a d c e f h g i\"]}, \n\t\t\"118\": {\"No.\": [\"1\", \"2\", \"3\", \"4\", \"5\", \"6\", \"7\", \"8\"], \"Coset Representative\": [\"x,y,z\", \"x+1/2,y+1/2,z\", \"x,y,z+1/2\", \"x+1/2,y+1/2,z+1/2\", \"-x,-y,-z\", \"-x+1/2,-y+1/2,-z\", \"-x,-y,-z+1/2\", \"-x+1/2,-y+1/2,-z+1/2\"], \"Geometrical Interpretation\": [\"1\", \"t (1/2,1/2,0)\", \"t (0,0,1/2)\", \"t (1/2,1/2,1/2)\", \"-1 0,0,0\", \"-1 1/4,1/4,0\", \"-1 0,0,1/4\", \"-1 1/4,1/4,1/4\"], \"Transformed WP\": [\"a b c d e f g h i \", \"b a d c e f g h i \", \"b a d c e g f h i \", \"a b c d e g f h i\", \"a b d c e g f h i \", \"b a c d e g f h i \", \"b a c d e f g h i \", \"a b d c e f g h i\"]}, \n\t\t\"119\": {\"No.\": [\"1\", \"2\", \"3\", \"4\", \"5\", \"6\", \"7\", \"8\"], \"Coset Representative\": [\"x,y,z\", \"x+1/2,y,z+1/4\", \"x,y,z+1/2\", \"x+1/2,y,z+3/4\", \"-x,-y,-z\", \"-x+1/2,-y,-z+1/4\", \"-x,-y,-z+1/2\", \"-x+1/2,-y,-z+3/4\"], \"Geometrical Interpretation\": [\"1\", \"t (1/2,0,1/4)\", \"t (0,0,1/2)\", \"t (1/2,0,3/4)\", \"-1 0,0,0\", \"-1 1/4,0,1/8\", \"-1 0,0,1/4\", \"-1 1/4,0,3/8\"], \"Transformed WP\": [\"a b c d e f g h i j\", \"c d b a f e h g i j\", \"b a d c e f g h i j\", \"d c a b f e h g i j\", \"a b d c e f g h i j\", \"d c b a f e h g i j\", \"b a c d e f g h i j\", \"c d a b f e h g i j\"]}, \n\t\t\"120\": {\"No.\": [\"1\", \"2\", \"3\", \"4\", \"5\", \"6\", \"7\", \"8\"], \"Coset Representative\": [\"x,y,z\", \"x,y,z+1/2\", \"x+1/2,y,z+1/4\", \"x+1/2,y,z+3/4\", \"-x,-y,-z\", \"-x,-y,-z+1/2\", \"-x+1/2,-y,-z+1/4\", \"-x+1/2,-y,-z+3/4\"], \"Geometrical Interpretation\": [\"1\", \"t (0,0,1/2)\", \"t (1/2,0,1/4)\", \"t (1/2,0,3/4)\", \"-1 0,0,0\", \"-1 0,0,1/4\", \"-1 1/4,0,1/8\", \"-1 1/4,0,3/8\"], \"Transformed WP\": [\"a b c d e f g h i\", \"a b c d e f g h i\", \"d c b a h g f e i\", \"d c b a h g f e i\", \"a b c d e f g h i\", \"a b c d e f g h i\", \"d c b a h g f e i\", \"d c b a h g f e i\"]}, \n\t\t\"121\": {\"No.\": [\"1\", \"2\", \"3\", \"4\"], \"Coset Representative\": [\"x,y,z\", \"x,y,z+1/2\", \"-x,-y,-z\", \"-x,-y,-z+1/2\"], \"Geometrical Interpretation\": [\"1\", \"t (0,0,1/2)\", \"-1 0,0,0\", \"-1 0,0,1/4\"], \"Transformed WP\": [\"a b c d e f g h i j \", \"b a c d e g f h i j\", \"a b c d e f g h i j \", \"b a c d e g f h i j\"]}, \n\t\t\"122\": {\"No.\": [\"1\", \"2\", \"3\", \"4\"], \"Coset Representative\": [\"x,y,z\", \"x,y,z+1/2\", \"-x+1/2,-y,-z+1/4\", \"-x+1/2,-y,-z+3/4\"], \"Geometrical Interpretation\": [\"1\", \"t (0,0,1/2)\", \"-1 1/4,0,1/8\", \"-1 1/4,0,3/8\"], \"Transformed WP\": [\"a b c d e\", \"b a c d e\", \"b a c d e\", \"a b c d e\"]}, \n\t\t\"123\": {\"No.\": [\"1\", \"2\", \"3\", \"4\"], \"Coset Representative\": [\"x,y,z\", \"x+1/2,y+1/2,z\", \"x,y,z+1/2\", \"x+1/2,y+1/2,z+1/2\"], \"Geometrical Interpretation\": [\"1\", \"t (1/2,1/2,0)\", \"t (0,0,1/2)\", \"t (1/2,1/2,1/2)\"], \"Transformed WP\": [\"a b c d e f g h i j k l m n o p q r s t u\", \"c d a b e f h g i j k n o l m p q r t s u\", \"b a d c f e g h i k j m l o n q p r s t u\", \"d c b a f e h g i k j o n m l q p r t s u\"]}, \n\t\t\"124\": {\"No.\": [\"1\", \"2\", \"3\", \"4\"], \"Coset Representative\": [\"x,y,z\", \"x+1/2,y+1/2,z\", \"x,y,z+1/2\", \"x+1/2,y+1/2,z+1/2\"], \"Geometrical Interpretation\": [\"1\", \"t (1/2,1/2,0)\", \"t (0,0,1/2)\", \"t (1/2,1/2,1/2)\"], \"Transformed WP\": [\"a b c d e f g h i j k l m n\", \"c d a b e f h g i j l k m n\", \"a b c d e f g h i j k l m n\", \"c d a b e f h g i j l k m n\"]}, \n\t\t\"125\": {\"No.\": [\"1\", \"2\", \"3\", \"4\"], \"Coset Representative\": [\"x,y,z\", \"x+1/2,y+1/2,z\", \"x,y,z+1/2\", \"x+1/2,y+1/2,z+1/2\"], \"Geometrical Interpretation\": [\"1\", \"t (1/2,1/2,0)\", \"t (0,0,1/2)\", \"t (1/2,1/2,1/2)\"], \"Transformed WP\": [\"a b c d e f g h i j k l m n\", \"a b c d e f g h i j k l m n\", \"b a d c f e g h j i l k m n\", \"b a d c f e g h j i l k m n\"]}, \n\t\t\"126\": {\"No.\": [\"1\", \"2\", \"3\", \"4\"], \"Coset Representative\": [\"x,y,z\", \"x+1/2,y+1/2,z\", \"x,y,z+1/2\", \"x+1/2,y+1/2,z+1/2\"], \"Geometrical Interpretation\": [\"1\", \"t (1/2,1/2,0)\", \"t (0,0,1/2)\", \"t (1/2,1/2,1/2)\"], \"Transformed WP\": [\"a b c d e f g h i j k\", \"b a c d e f g h j i k\", \"b a c d e f g h j i k\", \"a b c d e f g h i j k\"]}, \n\t\t\"127\": {\"No.\": [\"1\", \"2\", \"3\", \"4\"], \"Coset Representative\": [\"x,y,z\", \"x+1/2,y+1/2,z\", \"x,y,z+1/2\", \"x+1/2,y+1/2,z+1/2\"], \"Geometrical Interpretation\": [\"1\", \"t (1/2,1/2,0)\", \"t (0,0,1/2)\", \"t (1/2,1/2,1/2)\"], \"Transformed WP\": [\"a b c d e f g h i j k l\", \"a b c d e f g h i j k l\", \"b a d c e f h g j i k l\", \"b a d c e f h g j i k l\"]}, \n\t\t\"128\": {\"No.\": [\"1\", \"2\", \"3\", \"4\"], \"Coset Representative\": [\"x,y,z\", \"x+1/2,y+1/2,z\", \"x,y,z+1/2\", \"x+1/2,y+1/2,z+1/2\"], \"Geometrical Interpretation\": [\"1\", \"t (1/2,1/2,0)\", \"t (0,0,1/2)\", \"t (1/2,1/2,1/2)\"], \"Transformed WP\": [\"a b c d e f g h i\", \"b a c d e f g h i\", \"b a c d e f g h i\", \"a b c d e f g h i\"]}, \n\t\t\"129\": {\"No.\": [\"1\", \"2\", \"3\", \"4\"], \"Coset Representative\": [\"x,y,z\", \"x+1/2,y+1/2,z\", \"x,y,z+1/2\", \"x+1/2,y+1/2,z+1/2\"], \"Geometrical Interpretation\": [\"1\", \"t (1/2,1/2,0)\", \"t (0,0,1/2)\", \"t (1/2,1/2,1/2)\"], \"Transformed WP\": [\"a b c d e f g h i j k\", \"a b c d e f g h i j k\", \"b a c e d f h g i j k\", \"b a c e d f h g i j k\"]}, \n\t\t\"130\": {\"No.\": [\"1\", \"2\", \"3\", \"4\"], \"Coset Representative\": [\"x,y,z\", \"x+1/2,y+1/2,z\", \"x,y,z+1/2\", \"x+1/2,y+1/2,z+1/2\"], \"Geometrical Interpretation\": [\"1\", \"t (1/2,1/2,0)\", \"t (0,0,1/2)\", \"t (1/2,1/2,1/2)\"], \"Transformed WP\": [\"a b c d e f g\", \"a b c d e f g\", \"a b c d e f g\", \"a b c d e f g\"]}, \n\t\t\"131\": {\"No.\": [\"1\", \"2\", \"3\", \"4\"], \"Coset Representative\": [\"x,y,z\", \"x+1/2,y+1/2,z\", \"x,y,z+1/2\", \"x+1/2,y+1/2,z+1/2\"], \"Geometrical Interpretation\": [\"1\", \"t (1/2,1/2,0)\", \"t (0,0,1/2)\", \"t (1/2,1/2,1/2)\"], \"Transformed WP\": [\"a b c d e f g h i j k l m n o p q r\", \"b a d c f e h g i m l k j n p o q r\", \"a b d c e f g h i l m j k n o p q r\", \"b a c d f e h g i k j m l n p o q r\"]}, \n\t\t\"132\": {\"No.\": [\"1\", \"2\", \"3\", \"4\"], \"Coset Representative\": [\"x,y,z\", \"x+1/2,y+1/2,z\", \"x,y,z+1/2\", \"x+1/2,y+1/2,z+1/2\"], \"Geometrical Interpretation\": [\"1\", \"t (1/2,1/2,0)\", \"t (0,0,1/2)\", \"t (1/2,1/2,1/2)\"], \"Transformed WP\": [\"a b c d e f g h i j k l m n o p\", \"c d a b e f h g i j k m l n o p\", \"a b c d e f g h j i k l m n o p\", \"c d a b e f h g j i k m l n o p\"]}, \n\t\t\"133\": {\"No.\": [\"1\", \"2\", \"3\", \"4\"], \"Coset Representative\": [\"x,y,z\", \"x+1/2,y+1/2,z\", \"x,y,z+1/2\", \"x+1/2,y+1/2,z+1/2\"], \"Geometrical Interpretation\": [\"1\", \"t (1/2,1/2,0)\", \"t (0,0,1/2)\", \"t (1/2,1/2,1/2)\"], \"Transformed WP\": [\"a b c d e f g h i j k\", \"a b c d e f g h i j k\", \"a b c d e f g i h j k\", \"a b c d e f g i h j k\"]}, \n\t\t\"134\": {\"No.\": [\"1\", \"2\", \"3\", \"4\"], \"Coset Representative\": [\"x,y,z\", \"x+1/2,y+1/2,z\", \"x,y,z+1/2\", \"x+1/2,y+1/2,z+1/2\"], \"Geometrical Interpretation\": [\"1\", \"t (1/2,1/2,0)\", \"t (0,0,1/2)\", \"t (1/2,1/2,1/2)\"], \"Transformed WP\": [\"a b c d e f g h i j k l m n\", \"b a c d e f g h j i k l m n\", \"b a c d f e g h j i l k m n\", \"a b c d f e g h i j l k m n\"]}, \n\t\t\"135\": {\"No.\": [\"1\", \"2\", \"3\", \"4\"], \"Coset Representative\": [\"x,y,z\", \"x+1/2,y+1/2,z\", \"x,y,z+1/2\", \"x+1/2,y+1/2,z+1/2\"], \"Geometrical Interpretation\": [\"1\", \"t (1/2,1/2,0)\", \"t (0,0,1/2)\", \"t (1/2,1/2,1/2)\"], \"Transformed WP\": [\"a b c d e f g h i\", \"a b c d e f g h i\", \"a b c d e f g h i\", \"a b c d e f g h i\"]}, \n\t\t\"136\": {\"No.\": [\"1\", \"2\", \"3\", \"4\"], \"Coset Representative\": [\"x,y,z\", \"x+1/2,y+1/2,z\", \"x,y,z+1/2\", \"x+1/2,y+1/2,z+1/2\"], \"Geometrical Interpretation\": [\"1\", \"t (1/2,1/2,0)\", \"t (0,0,1/2)\", \"t (1/2,1/2,1/2)\"], \"Transformed WP\": [\"a b c d e f g h i j k\", \"b a c d e f g h i j k\", \"b a c d e g f h i j k\", \"a b c d e g f h i j k\"]}, \n\t\t\"137\": {\"No.\": [\"1\", \"2\", \"3\", \"4\"], \"Coset Representative\": [\"x,y,z\", \"x+1/2,y+1/2,z\", \"x,y,z+1/2\", \"x+1/2,y+1/2,z+1/2\"], \"Geometrical Interpretation\": [\"1\", \"t (1/2,1/2,0)\", \"t (0,0,1/2)\", \"t (1/2,1/2,1/2)\"], \"Transformed WP\": [\"a b c d e f g h\", \"b a c d e f g h\", \"b a c d e f g h\", \"a b c d e f g h\"]}, \n\t\t\"138\": {\"No.\": [\"1\", \"2\", \"3\", \"4\"], \"Coset Representative\": [\"x,y,z\", \"x+1/2,y+1/2,z\", \"x,y,z+1/2\", \"x+1/2,y+1/2,z+1/2\"], \"Geometrical Interpretation\": [\"1\", \"t (1/2,1/2,0)\", \"t (0,0,1/2)\", \"t (1/2,1/2,1/2)\"], \"Transformed WP\": [\"a b c d e f g h i j\", \"a b c d e f g h i j\", \"a b d c e f h g i j\", \"a b d c e f h g i j\"]}, \n\t\t\"139\": {\"No.\": [\"1\", \"2\"], \"Coset Representative\": [\"x,y,z\", \"x,y,z+1/2\"], \"Geometrical Interpretation\": [\"1\", \"t (0,0,1/2)\"], \"Transformed WP\": [\"a b c d e f g h i j k l m n o\", \"b a c d e f g h j i k l m n o\"]}, \n\t\t\"140\": {\"No.\": [\"1\", \"2\"], \"Coset Representative\": [\"x,y,z\", \"x,y,z+1/2\"], \"Geometrical Interpretation\": [\"1\", \"t (0,0,1/2)\"], \"Transformed WP\": [\"a b c d e f g h i j k l m\", \"a b c d e f g h i j k l m\"]}, \n\t\t\"141\": {\"No.\": [\"1\", \"2\"], \"Coset Representative\": [\"x,y,z\", \"x,y,z+1/2\"], \"Geometrical Interpretation\": [\"1\", \"t (0,0,1/2)\"], \"Transformed WP\": [\"a b c d e f g h i\", \"b a d c e f g h i\"]}, \n\t\t\"142\": {\"No.\": [\"1\", \"2\"], \"Coset Representative\": [\"x,y,z\", \"x,y,z+1/2\"], \"Geometrical Interpretation\": [\"1\", \"t (0,0,1/2)\"], \"Transformed WP\": [\"a b c d e f g\", \"a b c d e f g\"]}, \n\t\t\"143\": {\"No.\": [\"1\", \"2\", \"3\", \"4\", \"5\", \"6\", \"7\", \"8\", \"9\", \"10\", \"11\", \"12\", \"13\", \"14\", \"15\", \"16\", \"17\", \"18\", \"19\", \"20\", \"21\", \"22\", \"23\", \"24\"], \"Coset Representative\": [\"x,y,z\", \"x+2/3,y+1/3,z\", \"x+1/3,y+2/3,z\", \"-x,-y,-z\", \"-x+2/3,-y+1/3,-z\", \"-x+1/3,-y+2/3,-z\", \"-x,-y,z\", \"-x+2/3,-y+1/3,z\", \"-x+1/3,-y+2/3,z\", \"x,y,-z\", \"x+2/3,y+1/3,-z\", \"x+1/3,y+2/3,-z\", \"y,x,z\", \"y+2/3,x+1/3,z\", \"y+1/3,x+2/3,z\", \"-y,-x,-z\", \"-y+2/3,-x+1/3,-z\", \"-y+1/3,-x+2/3,-z\", \"-y,-x,z\", \"-y+2/3,-x+1/3,z\", \"-y+1/3,-x+2/3,z\", \"y,x,-z\", \"y+1/3,x+2/3,-z\", \"y+2/3,x+1/3,-z\"], \"Geometrical Interpretation\": [\"1\", \"t (2/3,1/3,0)\", \"t (1/3,2/3,0)\", \"-1 0,0,0\", \"-1 1/3,1/6,0\", \"-1 1/6,1/3,0\", \"2 0,0,z\", \"2 1/3,1/6,z\", \"2 1/6,1/3,z\", \"m x,y,0\", \"g (2/3,1/3,0) x,y,0\", \"g (1/3,2/3,0) x,y,0\", \"m x,x,z\", \"g (1/2,1/2,0) x+1/6,x,z\", \"g (1/2,1/2,0) x-1/6,x,z\", \"2 x,-x,0\", \"2 (1/6,-1/6,0) x,-x+1/2,0\", \"2 (-1/6,1/6,0) x,-x+1/2,0\", \"m x,-x,z\", \"g (1/6,-1/6,0) x+1/2,-x,z\", \"g (-1/6,1/6,0) x+1/2,-x,z\", \"2 x,x,0\", \"2 (1/2,1/2,0) x,x+1/6,0\", \"2 (1/2,1/2,0) x,x-1/6,0\"], \"Transformed WP\": [\"a b c d\", \"b c a d\", \"c a b d\", \"a c b d\", \"c b a d\", \"b a c d\", \"a c b d\", \"c b a d\", \"b a c d\", \"a b c d\", \"b c a d\", \"c a b d\", \"a c b d\", \"c b a d\", \"b a c d\", \"a b c d\", \"b c a d\", \"c a b d\", \"a b c d\", \"b c a d\", \"c a b d\", \"a c b d\", \"b a c d\", \"c b a d\"]}, \n\t\t\"144\": {\"No.\": [\"1\", \"2\", \"3\", \"4\", \"5\", \"6\", \"7\", \"8\", \"9\", \"10\", \"11\", \"12\"], \"Coset Representative\": [\"x,y,z\", \"x+2/3,y+1/3,z\", \"x+1/3,y+2/3,z\", \"-x,-y,z\", \"-x+2/3,-y+1/3,z\", \"-x+1/3,-y+2/3,z\", \"y,x,-z\", \"y+2/3,x+1/3,-z\", \"y+1/3,x+2/3,-z\", \"-y,-x,-z\", \"-y+2/3,-x+1/3,-z\", \"-y+1/3,-x+2/3,-z\"], \"Geometrical Interpretation\": [\"1\", \"t (2/3,1/3,0)\", \"t (1/3,2/3,0)\", \"2 0,0,z\", \"2 1/3,1/6,z\", \"2 1/6,1/3,z\", \"2 x,x,0\", \"2 (1/2,1/2,0) x,x-1/6,0\", \"2 (1/2,1/2,0) x,x+1/6,0\", \"2 x,-x,0\", \"2 (1/6,-1/6,0) x,-x+1/2,0\", \"2 (-1/6,1/6,0) x,-x+1/2,0\"], \"Transformed WP\": [\"a\", \"a\", \"a\", \"a\", \"a\", \"a\", \"a\", \"a\", \"a\", \"a\", \"a\", \"a\"]}, \n\t\t\"145\": {\"No.\": [\"1\", \"2\", \"3\", \"4\", \"5\", \"6\", \"7\", \"8\", \"9\", \"10\", \"11\", \"12\"], \"Coset Representative\": [\"x,y,z\", \"x+2/3,y+1/3,z\", \"x+1/3,y+2/3,z\", \"-x,-y,z\", \"-x+2/3,-y+1/3,z\", \"-x+1/3,-y+2/3,z\", \"y,x,-z\", \"y+2/3,x+1/3,-z\", \"y+1/3,x+2/3,-z\", \"-y,-x,-z\", \"-y+2/3,-x+1/3,-z\", \"-y+1/3,-x+2/3,-z\"], \"Geometrical Interpretation\": [\"1\", \"t (2/3,1/3,0)\", \"t (1/3,2/3,0)\", \"2 0,0,z\", \"2 1/3,1/6,z\", \"2 1/6,1/3,z\", \"2 x,x,0\", \"2 (1/2,1/2,0) x,x-1/6,0\", \"2 (1/2,1/2,0) x,x+1/6,0\", \"2 x,-x,0\", \"2 (1/6,-1/6,0) x,-x+1/2,0\", \"2 (-1/6,1/6,0) x,-x+1/2,0\"], \"Transformed WP\": [\"a\", \"a\", \"a\", \"a\", \"a\", \"a\", \"a\", \"a\", \"a\", \"a\", \"a\", \"a\"]}, \n\t\t\"146\": {\"No.\": [\"1\", \"2\", \"3\", \"4\"], \"Coset Representative\": [\"x,y,z\", \"-x,-y,-z\", \"-y,-x,z\", \"y,x,-z\"], \"Geometrical Interpretation\": [\"1\", \"-1 0,0,0\", \"m x,-x,z\", \"2 x,x,0\"], \"Transformed WP\": [\"a b \", \"a b \", \"a b \", \"a b \"]}, \n\t\t\"147\": {\"No.\": [\"1\", \"2\", \"3\", \"4\", \"5\", \"6\", \"7\", \"8\"], \"Coset Representative\": [\"x,y,z\", \"x,y,z+1/2\", \"-x,-y,z\", \"-x,-y,z+1/2\", \"y,x,z\", \"y,x,z+1/2\", \"-y,-x,z\", \"-y,-x,z+1/2\"], \"Geometrical Interpretation\": [\"1\", \"t (0,0,1/2)\", \"2 0,0,z\", \"2 (0,0,1/2) 0,0,z\", \"m x,x,z\", \"c x,x,z\", \"m x,-x,z\", \"c x,-x,z\"], \"Transformed WP\": [\"a b c d e f g\", \"b a c d f e g\", \"a b c d e f g\", \"b a c d f e g\", \"a b c d e f g\", \"b a c d f e g\", \"a b c d e f g\", \"b a c d f e g\"]}, \n\t\t\"148\": {\"No.\": [\"1\", \"2\", \"3\", \"4\"], \"Coset Representative\": [\"x,y,z\", \"x,y,z+1/2\", \"-y,-x,z\", \"-y,-x,z+1/2\"], \"Geometrical Interpretation\": [\"1\", \"t (0,0,1/2)\", \"m x,-x,z\", \"c x,-x,z\"], \"Transformed WP\": [\"a b c d e f\", \"b a c e d f\", \"a b c d e f\", \"b a c e d f\"]}, \n\t\t\"149\": {\"No.\": [\"1\", \"2\", \"3\", \"4\", \"5\", \"6\", \"7\", \"8\", \"9\", \"10\", \"11\", \"12\", \"13\", \"14\", \"15\", \"16\", \"17\", \"18\", \"19\", \"20\", \"21\", \"22\", \"23\", \"24\"], \"Coset Representative\": [\"x,y,z\", \"x+2/3,y+1/3,z\", \"x+1/3,y+2/3,z\", \"x,y,z+1/2\", \"x+2/3,y+1/3,z+1/2\", \"x+1/3,y+2/3,z+1/2\", \"-x,-y,z\", \"-x+2/3,-y+1/3,z\", \"-x+1/3,-y+2/3,z\", \"-x,-y,z+1/2\", \"-x+2/3,-y+1/3,z+1/2\", \"-x+1/3,-y+2/3,z+1/2\", \"-x,-y,-z\", \"-x+2/3,-y+1/3,-z\", \"-x+1/3,-y+2/3,-z\", \"-x,-y,-z+1/2\", \"-x+2/3,-y+1/3,-z+1/2\", \"-x+1/3,-y+2/3,-z+1/2\", \"x,y,-z\", \"x+2/3,y+1/3,-z\", \"x+1/3,y+2/3,-z\", \"x,y,-z+1/2\", \"x+2/3,y+1/3,-z+1/2\", \"x+1/3,y+2/3,-z+1/2\"], \"Geometrical Interpretation\": [\"1\", \"t (2/3,1/3,0)\", \"t (1/3,2/3,0)\", \"t (0,0,1/2)\", \"t (2/3,1/3,1/2)\", \"t (1/3,2/3,1/2)\", \"2 0,0,z\", \"2 1/3,1/6,z\", \"2 1/6,1/3,z\", \"2 (0,0,1/2) 0,0,z\", \"2 (0,0,1/2) 1/3,1/6,z\", \"2 (0,0,1/2) 1/6,1/3,z\", \"-1 0,0,0\", \"-1 1/3,1/6,0\", \"-1 1/6,1/3,0\", \"-1 0,0,1/4\", \"-1 1/3,1/6,1/4\", \"-1 1/6,1/3,1/4\", \"m x,y,0\", \"g (2/3,1/3,0) x,y,0\", \"g (1/3,2/3,0) x,y,0\", \"m x,y,1/4\", \"g (2/3,1/3,0) x,y,1/4\", \"g (1/3,2/3,0) x,y,1/4\"], \"Transformed WP\": [\"a b c d e f g h i j k l\", \"c d e f a b h i g j k l\", \"e f a b c d i g h j k l\", \"b a d c f e g h i k j l\", \"d c f e b a h i g k j l\", \"f e b a d c i g h k j l\", \"a b e f c d g i h j k l\", \"e f c d a b i h g j k l\", \"c d a b e f h g i j k l\", \"b a f e d c g i h k j l\", \"f e d c b a i h g k j l\", \"d c b a f e h g i k j l\", \"a b e f c d g i h j k l\", \"e f c d a b i h g j k l\", \"c d a b e f h g i j k l\", \"b a f e d c g i h k j l\", \"f e d c b a i h g k j l\", \"d c b a f e h g i k j l\", \"a b c d e f g h i j k l\", \"c d e f a b h i g j k l\", \"e f a b c d i g h j k l\", \"b a d c f e g h i k j l\", \"d c f e b a h i g k j l\", \"f e b a d c i g h k j l\"]}, \n\t\t\"150\": {\"No.\": [\"1\", \"2\", \"3\", \"4\", \"5\", \"6\", \"7\", \"8\"], \"Coset Representative\": [\"x,y,z\", \"x,y,z+1/2\", \"-x,-y,z\", \"-x,-y,z+1/2\", \"-x,-y,-z\", \"-x,-y,-z+1/2\", \"x,y,-z\", \"x,y,-z+1/2\"], \"Geometrical Interpretation\": [\"1\", \"t (0,0,1/2)\", \"2 0,0,z\", \"2 (0,0,1/2) 0,0,z\", \"-1 0,0,0\", \"-1 0,0,1/4\", \"m x,y,0\", \"m x,y,1/4\"], \"Transformed WP\": [\"a b c d e f g\", \"b a c d f e g\", \"a b c d e f g\", \"b a c d f e g\", \"a b c d e f g\", \"b a c d f e g\", \"a b c d e f g\", \"b a c d f e g\"]}, \n\t\t\"151\": {\"No.\": [\"1\", \"2\", \"3\", \"4\", \"5\", \"6\", \"7\", \"8\", \"9\", \"10\", \"11\", \"12\"], \"Coset Representative\": [\"x,y,z\", \"x+2/3,y+1/3,z\", \"x+1/3,y+2/3,z\", \"x,y,z+1/2\", \"x+2/3,y+1/3,z+1/2\", \"x+1/3,y+2/3,z+1/2\", \"-x,-y,z\", \"-x+2/3,-y+1/3,z\", \"-x+1/3,-y+2/3,z\", \"-x,-y,z+1/2\", \"-x+2/3,-y+1/3,z+1/2\", \"-x+1/3,-y+2/3,z+1/2\"], \"Geometrical Interpretation\": [\"1\", \"t (2/3,1/3,0)\", \"t (1/3,2/3,0)\", \"t (0,0,1/2)\", \"t (2/3,1/3,1/2)\", \"t (1/3,2/3,1/2)\", \"2 0,0,z\", \"2 1/3,1/6,z\", \"2 1/6,1/3,z\", \"2 (0,0,1/2) 0,0,z\", \"2 (0,0,1/2) 1/3,1/6,z\", \"2 (0,0,1/2) 1/6,1/3,z\"], \"Transformed WP\": [\"a b c\", \"a b c\", \"a b c\", \"b a c\", \"b a c\", \"b a c\", \"a b c\", \"a b c\", \"a b c\", \"b a c\", \"b a c\", \"b a c\"]}, \n\t\t\"152\": {\"No.\": [\"1\", \"2\", \"3\", \"4\"], \"Coset Representative\": [\"x,y,z\", \"x,y,z+1/2\", \"-x,-y,z\", \"-x,-y,z+1/2\"], \"Geometrical Interpretation\": [\"1\", \"t (0,0,1/2)\", \"2 0,0,z\", \"2 (0,0,1/2) 0,0,z\"], \"Transformed WP\": [\"a b c\", \"b a c\", \"a b c\", \"b a c\"]}, \n\t\t\"153\": {\"No.\": [\"1\", \"2\", \"3\", \"4\", \"5\", \"6\", \"7\", \"8\", \"9\", \"10\", \"11\", \"12\"], \"Coset Representative\": [\"x,y,z\", \"x+2/3,y+1/3,z\", \"x+1/3,y+2/3,z\", \"x,y,z+1/2\", \"x+2/3,y+1/3,z+1/2\", \"x+1/3,y+2/3,z+1/2\", \"-x,-y,z\", \"-x+2/3,-y+1/3,z\", \"-x+1/3,-y+2/3,z\", \"-x,-y,z+1/2\", \"-x+2/3,-y+1/3,z+1/2\", \"-x+1/3,-y+2/3,z+1/2\"], \"Geometrical Interpretation\": [\"1\", \"t (2/3,1/3,0)\", \"t (1/3,2/3,0)\", \"t (0,0,1/2)\", \"t (2/3,1/3,1/2)\", \"t (1/3,2/3,1/2)\", \"2 0,0,z\", \"2 1/3,1/6,z\", \"2 1/6,1/3,z\", \"2 (0,0,1/2) 0,0,z\", \"2 (0,0,1/2) 1/3,1/6,z\", \"2 (0,0,1/2) 1/6,1/3,z\"], \"Transformed WP\": [\"a b c\", \"a b c\", \"a b c\", \"b a c\", \"b a c\", \"b a c\", \"a b c\", \"a b c\", \"a b c\", \"b a c\", \"b a c\", \"b a c\"]}, \n\t\t\"154\": {\"No.\": [\"1\", \"2\", \"3\", \"4\"], \"Coset Representative\": [\"x,y,z\", \"x,y,z+1/2\", \"-x,-y,z\", \"-x,-y,z+1/2\"], \"Geometrical Interpretation\": [\"1\", \"t (0,0,1/2)\", \"2 0,0,z\", \"2 (0,0,1/2) 0,0,z\"], \"Transformed WP\": [\"a b c\", \"b a c\", \"a b c\", \"b a c\"]}, \n\t\t\"155\": {\"No.\": [\"1\", \"2\", \"3\", \"4\"], \"Coset Representative\": [\"x,y,z\", \"x,y,z+1/2\", \"-x,-y,-z\", \"-x,-y,-z+1/2\"], \"Geometrical Interpretation\": [\"1\", \"t (0,0,1/2)\", \"-1 0,0,0\", \"-1 0,0,1/4\"], \"Transformed WP\": [\"a b c d e f\", \"b a c e d f\", \"a b c d e f\", \"b a c e d f\"]}, \n\t\t\"156\": {\"No.\": [\"1\", \"2\", \"3\", \"4\", \"5\", \"6\", \"7\", \"8\", \"9\", \"10\", \"11\", \"12\"], \"Coset Representative\": [\"x,y,z\", \"x+2/3,y+1/3,z\", \"x+1/3,y+2/3,z\", \"-x,-y,-z\", \"-x+2/3,-y+1/3,-z\", \"-x+1/3,-y+2/3,-z\", \"-x,-y,z\", \"-x+2/3,-y+1/3,z\", \"-x+1/3,-y+2/3,z\", \"x,y,-z\", \"x+2/3,y+1/3,-z\", \"x+1/3,y+2/3,-z\"], \"Geometrical Interpretation\": [\"1\", \"t (2/3,1/3,0)\", \"t (1/3,2/3,0)\", \"-1 0,0,0\", \"-1 1/3,1/6,0\", \"-1 1/6,1/3,0\", \"2 0,0,z\", \"2 1/3,1/6,z\", \"2 1/6,1/3,z\", \"m x,y,0\", \"g (2/3,1/3,0) x,y,0\", \"g (1/3,2/3,0) x,y,0\"], \"Transformed WP\": [\"a b c d e\", \"b c a d e\", \"c a b d e\", \"a c b d e\", \"c b a d e\", \"b a c d e\", \"a c b d e\", \"c b a d e\", \"b a c d e\", \"a b c d e\", \"b c a d e\", \"c a b d e\"]}, \n\t\t\"157\": {\"No.\": [\"1\", \"2\", \"3\", \"4\"], \"Coset Representative\": [\"x,y,z\", \"-x,-y,-z\", \"-x,-y,z\", \"x,y,-z\"], \"Geometrical Interpretation\": [\"1\", \"-1 0,0,0\", \"2 0,0,z\", \"m x,y,0\"], \"Transformed WP\": [\"a b c d\", \"a b c d\", \"a b c d\", \"a b c d\"]}, \n\t\t\"158\": {\"No.\": [\"1\", \"2\", \"3\", \"4\", \"5\", \"6\", \"7\", \"8\", \"9\", \"10\", \"11\", \"12\"], \"Coset Representative\": [\"x,y,z\", \"x+2/3,y+1/3,z\", \"x+1/3,y+2/3,z\", \"-x,-y,-z\", \"-x+2/3,-y+1/3,-z\", \"-x+1/3,-y+2/3,-z\", \"-x,-y,z\", \"-x+2/3,-y+1/3,z\", \"-x+1/3,-y+2/3,z\", \"x,y,-z\", \"x+2/3,y+1/3,-z\", \"x+1/3,y+2/3,-z\"], \"Geometrical Interpretation\": [\"1\", \"t (2/3,1/3,0)\", \"t (1/3,2/3,0)\", \"-1 0,0,0\", \"-1 1/3,1/6,0\", \"-1 1/6,1/3,0\", \"2 0,0,z\", \"2 1/3,1/6,z\", \"2 1/6,1/3,z\", \"m x,y,0\", \"g (2/3,1/3,0) x,y,0\", \"g (1/3,2/3,0) x,y,0\"], \"Transformed WP\": [\"a b c d\", \"b c a d\", \"c a b d\", \"a c b d\", \"c b a d\", \"b a c d\", \"a c b d\", \"c b a d\", \"b a c d\", \"a b c d\", \"b c a d\", \"c a b d\"]}, \n\t\t\"159\": {\"No.\": [\"1\", \"2\", \"3\", \"4\"], \"Coset Representative\": [\"x,y,z\", \"-x,-y,-z\", \"-x,-y,z\", \"x,y,-z\"], \"Geometrical Interpretation\": [\"1\", \"-1 0,0,0\", \"2 0,0,z\", \"m x,y,0\"], \"Transformed WP\": [\"a b c\", \"a b c\", \"a b c\", \"a b c\"]}, \n\t\t\"160\": {\"No.\": [\"1\", \"2\"], \"Coset Representative\": [\"x,y,z\", \"-x,-y,-z\"], \"Geometrical Interpretation\": [\"1\", \"-1 0,0,0\"], \"Transformed WP\": [\"a b c \", \"a b c \"]}, \n\t\t\"161\": {\"No.\": [\"1\", \"2\"], \"Coset Representative\": [\"x,y,z\", \"-x,-y,-z\"], \"Geometrical Interpretation\": [\"1\", \"-1 0,0,0\"], \"Transformed WP\": [\"a b \", \"a b \"]}, \n\t\t\"162\": {\"No.\": [\"1\", \"2\", \"3\", \"4\"], \"Coset Representative\": [\"x,y,z\", \"x,y,z+1/2\", \"-x,-y,z\", \"-x,-y,z+1/2\"], \"Geometrical Interpretation\": [\"1\", \"t (0,0,1/2)\", \"2 0,0,z\", \"2 (0,0,1/2) 0,0,z\"], \"Transformed WP\": [\"a b c d e f g h i j k l\", \"b a d c e g f h j i k l\", \"a b c d e f g h i j k l\", \"b a d c e g f h j i k l\"]}, \n\t\t\"163\": {\"No.\": [\"1\", \"2\", \"3\", \"4\"], \"Coset Representative\": [\"x,y,z\", \"x,y,z+1/2\", \"-x,-y,z\", \"-x,-y,z+1/2\"], \"Geometrical Interpretation\": [\"1\", \"t (0,0,1/2)\", \"2 0,0,z\", \"2 (0,0,1/2) 0,0,z\"], \"Transformed WP\": [\"a b c d e f g h i\", \"a b d c e f g h i\", \"a b d c e f g h i\", \"a b c d e f g h i\"]}, \n\t\t\"164\": {\"No.\": [\"1\", \"2\", \"3\", \"4\"], \"Coset Representative\": [\"x,y,z\", \"x,y,z+1/2\", \"-x,-y,z\", \"-x,-y,z+1/2\"], \"Geometrical Interpretation\": [\"1\", \"t (0,0,1/2)\", \"2 0,0,z\", \"2 (0,0,1/2) 0,0,z\"], \"Transformed WP\": [\"a b c d e f g h i j\", \"b a c d f e h g i j\", \"a b c d e f g h i j\", \"b a c d f e h g i j\"]}, \n\t\t\"165\": {\"No.\": [\"1\", \"2\", \"3\", \"4\"], \"Coset Representative\": [\"x,y,z\", \"x,y,z+1/2\", \"-x,-y,z\", \"-x,-y,z+1/2\"], \"Geometrical Interpretation\": [\"1\", \"t (0,0,1/2)\", \"2 0,0,z\", \"2 (0,0,1/2) 0,0,z\"], \"Transformed WP\": [\"a b c d e f g\", \"a b c d e f g\", \"a b c d e f g\", \"a b c d e f g\"]}, \n\t\t\"166\": {\"No.\": [\"1\", \"2\"], \"Coset Representative\": [\"x,y,z\", \"x,y,z+1/2\"], \"Geometrical Interpretation\": [\"1\", \"t (0,0,1/2)\"], \"Transformed WP\": [\"a b c d e f g h i\", \"b a c e d g f h i\"]}, \n\t\t\"167\": {\"No.\": [\"1\", \"2\"], \"Coset Representative\": [\"x,y,z\", \"x,y,z+1/2\"], \"Geometrical Interpretation\": [\"1\", \"t (0,0,1/2)\"], \"Transformed WP\": [\"a b c d e f\", \"a b c d e f\"]}, \n\t\t\"168\": {\"No.\": [\"1\", \"2\", \"3\", \"4\"], \"Coset Representative\": [\"x,y,z\", \"-x,-y,-z\", \"y,x,z\", \"-y,-x,-z\"], \"Geometrical Interpretation\": [\"1\", \"-1 0,0,0\", \"m x,x,z\", \"2 x,-x,0\"], \"Transformed WP\": [\"a b c d\", \"a b c d\", \"a b c d\", \"a b c d\"]}, \n\t\t\"169\": {\"No.\": [\"1\", \"2\"], \"Coset Representative\": [\"x,y,z\", \"y,x,-z\"], \"Geometrical Interpretation\": [\"1\", \"2 x,x,0\"], \"Transformed WP\": [\"a\", \"a\"]}, \n\t\t\"170\": {\"No.\": [\"1\", \"2\"], \"Coset Representative\": [\"x,y,z\", \"y,x,-z\"], \"Geometrical Interpretation\": [\"1\", \"2 x,x,0\"], \"Transformed WP\": [\"a\", \"a\"]}, \n\t\t\"171\": {\"No.\": [\"1\", \"2\"], \"Coset Representative\": [\"x,y,z\", \"y,x,-z\"], \"Geometrical Interpretation\": [\"1\", \"2 x,x,0\"], \"Transformed WP\": [\"a b c\", \"a b c\"]}, \n\t\t\"172\": {\"No.\": [\"1\", \"2\"], \"Coset Representative\": [\"x,y,z\", \"y,x,-z\"], \"Geometrical Interpretation\": [\"1\", \"2 x,x,0\"], \"Transformed WP\": [\"a b c\", \"a b c\"]}, \n\t\t\"173\": {\"No.\": [\"1\", \"2\", \"3\", \"4\"], \"Coset Representative\": [\"x,y,z\", \"-x,-y,-z\", \"y,x,z\", \"-y,-x,-z\"], \"Geometrical Interpretation\": [\"1\", \"-1 0,0,0\", \"m x,x,z\", \"2 x,-x,0\"], \"Transformed WP\": [\"a b c\", \"a b c\", \"a b c\", \"a b c\"]}, \n\t\t\"174\": {\"No.\": [\"1\", \"2\", \"3\", \"4\", \"5\", \"6\", \"7\", \"8\", \"9\", \"10\", \"11\", \"12\", \"13\", \"14\", \"15\", \"16\", \"17\", \"18\", \"19\", \"20\", \"21\", \"22\", \"23\", \"24\"], \"Coset Representative\": [\"x,y,z\", \"x+2/3,y+1/3,z\", \"x+1/3,y+2/3,z\", \"x,y,z+1/2\", \"x+2/3,y+1/3,z+1/2\", \"x+1/3,y+2/3,z+1/2\", \"-x,-y,-z\", \"-x+2/3,-y+1/3,-z\", \"-x+1/3,-y+2/3,-z\", \"-x,-y,-z+1/2\", \"-x+2/3,-y+1/3,-z+1/2\", \"-x+1/3,-y+2/3,-z+1/2\", \"y,x,z\", \"y+2/3,x+1/3,z\", \"y+1/3,x+2/3,z\", \"y,x,z+1/2\", \"y+2/3,x+1/3,z+1/2\", \"y+1/3,x+2/3,z+1/2\", \"-y,-x,-z\", \"-y+2/3,-x+1/3,-z\", \"-y+1/3,-x+2/3,-z\", \"-y,-x,-z+1/2\", \"-y+2/3,-x+1/3,-z+1/2\", \"-y+1/3,-x+2/3,-z+1/2\"], \"Geometrical Interpretation\": [\"1\", \"t (2/3,1/3,0)\", \"t (1/3,2/3,0)\", \"t (0,0,1/2)\", \"t (2/3,1/3,1/2)\", \"t (1/3,2/3,1/2)\", \"-1 0,0,0\", \"-1 1/3,1/6,0\", \"-1 1/6,1/3,0\", \"-1 0,0,1/4\", \"-1 1/3,1/6,1/4\", \"-1 1/6,1/3,1/4\", \"m x,x,z\", \"g (1/2,1/2,0) x+1/6,x,z\", \"g (1/2,1/2,0) x-1/6,x,z\", \"c x,x,z\", \"n (1/2,1/2,1/2) x+1/6,x,z\", \"n (1/2,1/2,1/2) x-1/6,x,z\", \"2 x,-x,0\", \"2 (1/6,-1/6,0) x,-x+1/2,0\", \"2 (-1/6,1/6,0) x,-x+1/2,0\", \"2 x,-x,1/4\", \"2 (1/6,-1/6,0) x,-x+1/2,1/4\", \"2 (-1/6,1/6,0) x,-x+1/2,1/4\"], \"Transformed WP\": [\"a b c d e f g h i j k l\", \"c d e f a b h i g j k l\", \"e f a b c d i g h j k l\", \"b a d c f e g h i k j l\", \"d c f e b a h i g k j l\", \"f e b a d c i g h k j l\", \"a b e f c d g i h j k l\", \"e f c d a b i h g j k l\", \"c d a b e f h g i j k l\", \"b a f e d c g i h k j l\", \"f e d c b a i h g k j l\", \"d c b a f e h g i k j l\", \"a b e f c d g i h j k l\", \"e f c d a b i h g j k l\", \"c d a b e f h g i j k l\", \"b a f e d c g i h k j l\", \"f e d c b a i h g k j l\", \"d c b a f e h g i k j l\", \"a b c d e f g h i j k l\", \"c d e f a b h i g j k l\", \"e f a b c d i g h j k l\", \"b a d c f e g h i k j l\", \"d c f e b a h i g k j l\", \"f e b a d c i g h k j l\"]}, \n\t\t\"175\": {\"No.\": [\"1\", \"2\", \"3\", \"4\"], \"Coset Representative\": [\"x,y,z\", \"x,y,z+1/2\", \"y,x,z\", \"y,x,z+1/2\"], \"Geometrical Interpretation\": [\"1\", \"t (0,0,1/2)\", \"m x,x,z\", \"c x,x,z\"], \"Transformed WP\": [\"a b c d e f g h i j k l\", \"b a d c e g f h i k j l\", \"a b c d e f g h i j k l\", \"b a d c e g f h i k j l\"]}, \n\t\t\"176\": {\"No.\": [\"1\", \"2\", \"3\", \"4\"], \"Coset Representative\": [\"x,y,z\", \"x,y,z+1/2\", \"y,x,z\", \"y,x,z+1/2\"], \"Geometrical Interpretation\": [\"1\", \"t (0,0,1/2)\", \"m x,x,z\", \"c x,x,z\"], \"Transformed WP\": [\"a b c d e f g h i\", \"a b d c e f g h i\", \"a b d c e f g h i\", \"a b c d e f g h i\"]}, \n\t\t\"177\": {\"No.\": [\"1\", \"2\", \"3\", \"4\"], \"Coset Representative\": [\"x,y,z\", \"x,y,z+1/2\", \"-x,-y,-z\", \"-x,-y,-z+1/2\"], \"Geometrical Interpretation\": [\"1\", \"t (0,0,1/2)\", \"-1 0,0,0\", \"-1 0,0,1/4\"], \"Transformed WP\": [\"a b c d e f g h i j k l m n\", \"b a d c e g f h i k j m l n\", \"a b c d e f g h i j k l m n\", \"b a d c e g f h i k j m l n\"]}, \n\t\t\"178\": {\"No.\": [\"1\", \"2\"], \"Coset Representative\": [\"x,y,z\", \"x,y,z+1/2\"], \"Geometrical Interpretation\": [\"1\", \"t (0,0,1/2)\"], \"Transformed WP\": [\"a b c\", \"a b c\"]}, \n\t\t\"179\": {\"No.\": [\"1\", \"2\"], \"Coset Representative\": [\"x,y,z\", \"x,y,z+1/2\"], \"Geometrical Interpretation\": [\"1\", \"t (0,0,1/2)\"], \"Transformed WP\": [\"a b c\", \"a b c\"]}, \n\t\t\"180\": {\"No.\": [\"1\", \"2\"], \"Coset Representative\": [\"x,y,z\", \"x,y,z+1/2\"], \"Geometrical Interpretation\": [\"1\", \"t (0,0,1/2)\"], \"Transformed WP\": [\"a b c d e f g h i j k\", \"b a d c e f h g j i k\"]}, \n\t\t\"181\": {\"No.\": [\"1\", \"2\"], \"Coset Representative\": [\"x,y,z\", \"x,y,z+1/2\"], \"Geometrical Interpretation\": [\"1\", \"t (0,0,1/2)\"], \"Transformed WP\": [\"a b c d e f g h i j k\", \"b a d c e f h g j i k\"]}, \n\t\t\"182\": {\"No.\": [\"1\", \"2\", \"3\", \"4\"], \"Coset Representative\": [\"x,y,z\", \"x,y,z+1/2\", \"-x,-y,-z\", \"-x,-y,-z+1/2\"], \"Geometrical Interpretation\": [\"1\", \"t (0,0,1/2)\", \"-1 0,0,0\", \"-1 0,0,1/4\"], \"Transformed WP\": [\"a b c d e f g h i\", \"a b d c e f g h i\", \"a b c d e f g h i\", \"a b d c e f g h i\"]}, \n\t\t\"183\": {\"No.\": [\"1\", \"2\"], \"Coset Representative\": [\"x,y,z\", \"-x,-y,-z\"], \"Geometrical Interpretation\": [\"1\", \"-1 0,0,0\"], \"Transformed WP\": [\"a b c d e f\", \"a b c d e f\"]}, \n\t\t\"184\": {\"No.\": [\"1\", \"2\"], \"Coset Representative\": [\"x,y,z\", \"-x,-y,-z\"], \"Geometrical Interpretation\": [\"1\", \"-1 0,0,0\"], \"Transformed WP\": [\"a b c d\", \"a b c d\"]}, \n\t\t\"185\": {\"No.\": [\"1\", \"2\"], \"Coset Representative\": [\"x,y,z\", \"-x,-y,-z\"], \"Geometrical Interpretation\": [\"1\", \"-1 0,0,0\"], \"Transformed WP\": [\"a b c d\", \"a b c d\"]}, \n\t\t\"186\": {\"No.\": [\"1\", \"2\"], \"Coset Representative\": [\"x,y,z\", \"-x,-y,-z\"], \"Geometrical Interpretation\": [\"1\", \"-1 0,0,0\"], \"Transformed WP\": [\"a b c d\", \"a b c d\"]}, \n\t\t\"187\": {\"No.\": [\"1\", \"2\", \"3\", \"4\", \"5\", \"6\", \"7\", \"8\", \"9\", \"10\", \"11\", \"12\"], \"Coset Representative\": [\"x,y,z\", \"x+2/3,y+1/3,z\", \"x+1/3,y+2/3,z\", \"x,y,z+1/2\", \"x+2/3,y+1/3,z+1/2\", \"x+1/3,y+2/3,z+1/2\", \"-x,-y,-z\", \"-x+2/3,-y+1/3,-z\", \"-x+1/3,-y+2/3,-z\", \"-x,-y,-z+1/2\", \"-x+2/3,-y+1/3,-z+1/2\", \"-x+1/3,-y+2/3,-z+1/2\"], \"Geometrical Interpretation\": [\"1\", \"t (2/3,1/3,0)\", \"t (1/3,2/3,0)\", \"t (0,0,1/2)\", \"t (2/3,1/3,1/2)\", \"t (1/3,2/3,1/2)\", \"-1 0,0,0\", \"-1 1/3,1/6,0\", \"-1 1/6,1/3,0\", \"-1 0,0,1/4\", \"-1 1/3,1/6,1/4\", \"-1 1/6,1/3,1/4\"], \"Transformed WP\": [\"a b c d e f g h i j k l m n o\", \"c d e f a b h i g j k l m n o\", \"e f a b c d i g h j k l m n o\", \"b a d c f e g h i k j m l n o\", \"d c f e b a h i g k j m l n o\", \"f e b a d c i g h k j m l n o\", \"a b e f c d g i h j k l m n o\", \"e f c d a b i h g j k l m n o\", \"c d a b e f h g i j k l m n o\", \"b a f e d c g i h k j m l n o\", \"f e d c b a i h g k j m l n o\", \"d c b a f e h g i k j m l n o\"]}, \n\t\t\"188\": {\"No.\": [\"1\", \"2\", \"3\", \"4\", \"5\", \"6\", \"7\", \"8\", \"9\", \"10\", \"11\", \"12\"], \"Coset Representative\": [\"x,y,z\", \"x+2/3,y+1/3,z\", \"x+1/3,y+2/3,z\", \"x,y,z+1/2\", \"x+2/3,y+1/3,z+1/2\", \"x+1/3,y+2/3,z+1/2\", \"-x,-y,-z\", \"-x+2/3,-y+1/3,-z\", \"-x+1/3,-y+2/3,-z\", \"-x,-y,-z+1/2\", \"-x+2/3,-y+1/3,-z+1/2\", \"-x+1/3,-y+2/3,-z+1/2\"], \"Geometrical Interpretation\": [\"1\", \"t (2/3,1/3,0)\", \"t (1/3,2/3,0)\", \"t (0,0,1/2)\", \"t (2/3,1/3,1/2)\", \"t (1/3,2/3,1/2)\", \"-1 0,0,0\", \"-1 1/3,1/6,0\", \"-1 1/6,1/3,0\", \"-1 0,0,1/4\", \"-1 1/3,1/6,1/4\", \"-1 1/6,1/3,1/4\"], \"Transformed WP\": [\"a b c d e f g h i j k l\", \"c d e f a b h i g j k l\", \"e f a b c d i g h j k l\", \"a b c d e f g h i j k l\", \"c d e f a b h i g j k l\", \"e f a b c d i g h j k l\", \"a b e f c d g i h j k l\", \"e f c d a b i h g j k l\", \"c d a b e f h g i j k l\", \"a b e f c d g i h j k l\", \"e f c d a b i h g j k l\", \"c d a b e f h g i j k l\"]}, \n\t\t\"189\": {\"No.\": [\"1\", \"2\", \"3\", \"4\"], \"Coset Representative\": [\"x,y,z\", \"x,y,z+1/2\", \"-x,-y,-z\", \"-x,-y,-z+1/2\"], \"Geometrical Interpretation\": [\"1\", \"t (0,0,1/2)\", \"-1 0,0,0\", \"-1 0,0,1/4\"], \"Transformed WP\": [\"a b c d e f g h i j k l\", \"b a d c e g f h i k j l\", \"a b c d e f g h i j k l\", \"b a d c e g f h i k j l\"]}, \n\t\t\"190\": {\"No.\": [\"1\", \"2\", \"3\", \"4\"], \"Coset Representative\": [\"x,y,z\", \"x,y,z+1/2\", \"-x,-y,-z\", \"-x,-y,-z+1/2\"], \"Geometrical Interpretation\": [\"1\", \"t (0,0,1/2)\", \"-1 0,0,0\", \"-1 0,0,1/4\"], \"Transformed WP\": [\"a b c d e f g h i\", \"a b d c e f g h i\", \"a b c d e f g h i\", \"a b d c e f g h i\"]}, \n\t\t\"191\": {\"No.\": [\"1\", \"2\"], \"Coset Representative\": [\"x,y,z\", \"x,y,z+1/2\"], \"Geometrical Interpretation\": [\"1\", \"t (0,0,1/2)\"], \"Transformed WP\": [\"a b c d e f g h i j k l m n o p q r\", \"b a d c e g f h i k j m l n o q p r\"]}, \n\t\t\"192\": {\"No.\": [\"1\", \"2\"], \"Coset Representative\": [\"x,y,z\", \"x,y,z+1/2\"], \"Geometrical Interpretation\": [\"1\", \"t (0,0,1/2)\"], \"Transformed WP\": [\"a b c d e f g h i j k l m\", \"a b c d e f g h i j k l m\"]}, \n\t\t\"193\": {\"No.\": [\"1\", \"2\"], \"Coset Representative\": [\"x,y,z\", \"x,y,z+1/2\"], \"Geometrical Interpretation\": [\"1\", \"t (0,0,1/2)\"], \"Transformed WP\": [\"a b c d e f g h i j k l\", \"a b c d e f g h i j k l\"]}, \n\t\t\"194\": {\"No.\": [\"1\", \"2\"], \"Coset Representative\": [\"x,y,z\", \"x,y,z+1/2\"], \"Geometrical Interpretation\": [\"1\", \"t (0,0,1/2)\"], \"Transformed WP\": [\"a b c d e f g h i j k l\", \"a b d c e f g h i j k l\"]}, \n\t\t\"195\": {\"No.\": [\"1\", \"2\", \"3\", \"4\", \"5\", \"6\", \"7\", \"8\"], \"Coset Representative\": [\"x,y,z\", \"x+1/2,y+1/2,z+1/2\", \"-x,-y,-z\", \"-x+1/2,-y+1/2,-z+1/2\", \"y,x,z\", \"y+1/2,x+1/2,z+1/2\", \"-y,-x,-z\", \"-y+1/2,-x+1/2,-z+1/2\"], \"Geometrical Interpretation\": [\"1\", \"t (1/2,1/2,1/2)\", \"-1 0,0,0\", \"-1 1/4,1/4,1/4\", \"m x,x,z\", \"n (1/2,1/2,1/2) x,x,z\", \"2 x,-x,0\", \"2 x,-x+1/2,1/4\"], \"Transformed WP\": [\"a b c d e f g h i j \", \"b a d c e i h g f j\", \"a b c d e f g h i j \", \"b a d c e i h g f j\", \"a b c d e f h g i j\", \"b a d c e i g h f j\", \"a b c d e f h g i j\", \"b a d c e i g h f j\"]}, \n\t\t\"196\": {\"No.\": [\"1\", \"2\", \"3\", \"4\", \"5\", \"6\", \"7\", \"8\", \"9\", \"10\", \"11\", \"12\", \"13\", \"14\", \"15\", \"16\"], \"Coset Representative\": [\"x,y,z\", \"x+1/4,y+1/4,z+1/4\", \"x+1/2,y+1/2,z+1/2\", \"x+3/4,y+3/4,z+3/4\", \"-x,-y,-z\", \"-x+1/4,-y+1/4,-z+1/4\", \"-x+1/2,-y+1/2,-z+1/2\", \"-x+3/4,-y+3/4,-z+3/4\", \"y,x,z\", \"y+1/4,x+1/4,z+1/4\", \"y+1/2,x+1/2,z+1/2\", \"y+3/4,x+3/4,z+3/4\", \"-y,-x,-z\", \"-y+1/4,-x+1/4,-z+1/4\", \"-y+1/2,-x+1/2,-z+1/2\", \"-y+3/4,-x+3/4,-z+3/4\"], \"Geometrical Interpretation\": [\"1\", \"t (1/4,1/4,1/4)\", \"t (1/2,1/2,1/2)\", \"t (3/4,3/4,3/4)\", \"-1 0,0,0\", \"-1 1/8,1/8,1/8\", \"-1 1/4,1/4,1/4\", \"-1 3/8,3/8,3/8\", \"m x,x,z\", \"d (1/4,1/4,1/4) x,x,z\", \"n (1/2,1/2,1/2) x,x,z\", \"d (3/4,3/4,3/4) x,x,z\", \"2 x,-x,0\", \"2 x,-x+1/4,1/8\", \"2 x,-x+1/2,1/4\", \"2 x,-x+3/4,3/8\"], \"Transformed WP\": [\"a b c d e f g h \", \"d c a b e g f h\", \"b a d c e f g h\", \"c d b a e g f h\", \"a b d c e f g h\", \"c d a b e g f h\", \"b a c d e f g h\", \"d c b a e g f h\", \"a b c d e f g h \", \"d c a b e g f h\", \"b a d c e f g h\", \"c d b a e g f h\", \"a b d c e f g h\", \"c d a b e g f h\", \"b a c d e f g h\", \"d c b a e g f h\"]}, \n\t\t\"197\": {\"No.\": [\"1\", \"2\", \"3\", \"4\"], \"Coset Representative\": [\"x,y,z\", \"-x,-y,-z\", \"y,x,z\", \"-y,-x,-z\"], \"Geometrical Interpretation\": [\"1\", \"-1 0,0,0\", \"m x,x,z\", \"2 x,-x,0\"], \"Transformed WP\": [\"a b c d e f\", \"a b c d e f\", \"a b c d e f\", \"a b c d e f\"]}, \n\t\t\"198\": {\"No.\": [\"1\", \"2\", \"3\", \"4\", \"5\", \"6\", \"7\", \"8\"], \"Coset Representative\": [\"x,y,z\", \"x+1/2,y+1/2,z+1/2\", \"-x,-y,-z\", \"-x+1/2,-y+1/2,-z+1/2\", \"y+1/4,x+1/4,z+1/4\", \"y+3/4,x+3/4,z+3/4\", \"-y+1/4,-x+1/4,-z+1/4\", \"-y+3/4,-x+3/4,-z+3/4\"], \"Geometrical Interpretation\": [\"1\", \"t (1/2,1/2,1/2)\", \"-1 0,0,0\", \"-1 1/4,1/4,1/4\", \"d (1/4,1/4,1/4) x,x,z\", \"d (3/4,3/4,3/4) x,x,z\", \"2 x,-x+1/4,1/8\", \"2 x,-x+3/4,3/8\"], \"Transformed WP\": [\"a b \", \"a b \", \"a b \", \"a b \", \"a b \", \"a b \", \"a b \", \"a b \"]}, \n\t\t\"199\": {\"No.\": [\"1\", \"2\", \"3\", \"4\"], \"Coset Representative\": [\"x,y,z\", \"-x,-y,-z\", \"y+1/4,x+1/4,z+1/4\", \"-y+1/4,-x+1/4,-z+1/4\"], \"Geometrical Interpretation\": [\"1\", \"-1 0,0,0\", \"d (1/4,1/4,1/4) x,x,z\", \"2 x,-x+1/4,1/8\"], \"Transformed WP\": [\"a b c\", \"a b c\", \"a b c\", \"a b c\"]}, \n\t\t\"200\": {\"No.\": [\"1\", \"2\", \"3\", \"4\"], \"Coset Representative\": [\"x,y,z\", \"x+1/2,y+1/2,z+1/2\", \"y,x,z\", \"y+1/2,x+1/2,z+1/2\"], \"Geometrical Interpretation\": [\"1\", \"t (1/2,1/2,1/2)\", \"m x,x,z\", \"n (1/2,1/2,1/2) x,x,z\"], \"Transformed WP\": [\"a b c d e f g h i j k l\", \"b a d c h g f e i k j l\", \"a b c d e g f h i j k l\", \"b a d c h f g e i k j l\"]}, \n\t\t\"201\": {\"No.\": [\"1\", \"2\", \"3\", \"4\"], \"Coset Representative\": [\"x,y,z\", \"x+1/2,y+1/2,z+1/2\", \"y,x,z\", \"y+1/2,x+1/2,z+1/2\"], \"Geometrical Interpretation\": [\"1\", \"t (1/2,1/2,1/2)\", \"m x,x,z\", \"n (1/2,1/2,1/2) x,x,z\"], \"Transformed WP\": [\"a b c d e f g h\", \"a c b d e f g h\", \"a b c d e f g h\", \"a c b d e f g h\"]}, \n\t\t\"202\": {\"No.\": [\"1\", \"2\", \"3\", \"4\"], \"Coset Representative\": [\"x,y,z\", \"x+1/2,y+1/2,z+1/2\", \"y,x,z\", \"y+1/2,x+1/2,z+1/2\"], \"Geometrical Interpretation\": [\"1\", \"t (1/2,1/2,1/2)\", \"m x,x,z\", \"n (1/2,1/2,1/2) x,x,z\"], \"Transformed WP\": [\"a b c d e f g h i\", \"b a c d e f g h i\", \"a b c d e f g h i\", \"b a c d e f g h i\"]}, \n\t\t\"203\": {\"No.\": [\"1\", \"2\", \"3\", \"4\"], \"Coset Representative\": [\"x,y,z\", \"x+1/2,y+1/2,z+1/2\", \"y,x,z\", \"y+1/2,x+1/2,z+1/2\"], \"Geometrical Interpretation\": [\"1\", \"t (1/2,1/2,1/2)\", \"m x,x,z\", \"n (1/2,1/2,1/2) x,x,z\"], \"Transformed WP\": [\"a b c d e f g\", \"b a d c e f g\", \"a b c d e f g\", \"b a d c e f g\"]}, \n\t\t\"204\": {\"No.\": [\"1\", \"2\"], \"Coset Representative\": [\"x,y,z\", \"y,x,z\"], \"Geometrical Interpretation\": [\"1\", \"m x,x,z\"], \"Transformed WP\": [\"a b c d e f g h\", \"a b c d e f g h\"]}, \n\t\t\"205\": {\"No.\": [\"1\", \"2\"], \"Coset Representative\": [\"x,y,z\", \"x+1/2,y+1/2,z+1/2\"], \"Geometrical Interpretation\": [\"1\", \"t (1/2,1/2,1/2)\"], \"Transformed WP\": [\"a b c d\", \"b a c d\"]}, \n\t\t\"206\": {\"No.\": [\"1\", \"2\"], \"Coset Representative\": [\"x,y,z\", \"y+1/4,x+1/4,z+1/4\"], \"Geometrical Interpretation\": [\"1\", \"d (1/4,1/4,1/4) x,x,z\"], \"Transformed WP\": [\"a b c d e\", \"b a c d e\"]}, \n\t\t\"207\": {\"No.\": [\"1\", \"2\", \"3\", \"4\"], \"Coset Representative\": [\"x,y,z\", \"x+1/2,y+1/2,z+1/2\", \"-x,-y,-z\", \"-x+1/2,-y+1/2,-z+1/2\"], \"Geometrical Interpretation\": [\"1\", \"t (1/2,1/2,1/2)\", \"-1 0,0,0\", \"-1 1/4,1/4,1/4\"], \"Transformed WP\": [\"a b c d e f g h i j k\", \"b a d c f e g h j i k \", \"a b c d e f g h i j k\", \"b a d c f e g h j i k \"]}, \n\t\t\"208\": {\"No.\": [\"1\", \"2\", \"3\", \"4\"], \"Coset Representative\": [\"x,y,z\", \"x+1/2,y+1/2,z+1/2\", \"-x,-y,-z\", \"-x+1/2,-y+1/2,-z+1/2\"], \"Geometrical Interpretation\": [\"1\", \"t (1/2,1/2,1/2)\", \"-1 0,0,0\", \"-1 1/4,1/4,1/4\"], \"Transformed WP\": [\"a b c d e f g h i j k l m\", \"a c b d f e g h j i l k m \", \"a c b d e f g h i j l k m\", \"a b c d f e g h j i k l m \"]}, \n\t\t\"209\": {\"No.\": [\"1\", \"2\", \"3\", \"4\"], \"Coset Representative\": [\"x,y,z\", \"x+1/2,y+1/2,z+1/2\", \"-x,-y,-z\", \"-x+1/2,-y+1/2,-z+1/2\"], \"Geometrical Interpretation\": [\"1\", \"t (1/2,1/2,1/2)\", \"-1 0,0,0\", \"-1 1/4,1/4,1/4\"], \"Transformed WP\": [\"a b c d e f g h i j\", \"b a c d e f h g i j\", \"a b c d e f g h i j\", \"b a c d e f h g i j\"]}, \n\t\t\"210\": {\"No.\": [\"1\", \"2\", \"3\", \"4\"], \"Coset Representative\": [\"x,y,z\", \"x+1/2,y+1/2,z+1/2\", \"-x+1/4,-y+1/4,-z+1/4\", \"-x+3/4,-y+3/4,-z+3/4\"], \"Geometrical Interpretation\": [\"1\", \"t (1/2,1/2,1/2)\", \"-1 1/8,1/8,1/8\", \"-1 3/8,3/8,3/8\"], \"Transformed WP\": [\"a b c d e f g h\", \"b a d c e f g h \", \"a b c d e f g h\", \"b a d c e f g h \"]}, \n\t\t\"211\": {\"No.\": [\"1\", \"2\"], \"Coset Representative\": [\"x,y,z\", \"-x,-y,-z\"], \"Geometrical Interpretation\": [\"1\", \"-1 0,0,0\"], \"Transformed WP\": [\"a b c d e f g h i j\", \"a b c d e f g h i j\"]}, \n\t\t\"212\": {\"No.\": [\"1\", \"2\"], \"Coset Representative\": [\"x,y,z\", \"x+1/2,y+1/2,z+1/2\"], \"Geometrical Interpretation\": [\"1\", \"t (1/2,1/2,1/2)\"], \"Transformed WP\": [\"a b c d e\", \"b a c d e\"]}, \n\t\t\"213\": {\"No.\": [\"1\", \"2\"], \"Coset Representative\": [\"x,y,z\", \"x+1/2,y+1/2,z+1/2\"], \"Geometrical Interpretation\": [\"1\", \"t (1/2,1/2,1/2)\"], \"Transformed WP\": [\"a b c d e\", \"b a c d e\"]}, \n\t\t\"214\": {\"No.\": [\"1\", \"2\"], \"Coset Representative\": [\"x,y,z\", \"-x,-y,-z\"], \"Geometrical Interpretation\": [\"1\", \"-1 0,0,0\"], \"Transformed WP\": [\"a b c d e f g h i\", \"b a d c e f h g i\"]}, \n\t\t\"215\": {\"No.\": [\"1\", \"2\", \"3\", \"4\"], \"Coset Representative\": [\"x,y,z\", \"x+1/2,y+1/2,z+1/2\", \"-x,-y,-z\", \"-x+1/2,-y+1/2,-z+1/2\"], \"Geometrical Interpretation\": [\"1\", \"t (1/2,1/2,1/2)\", \"-1 0,0,0\", \"-1 1/4,1/4,1/4\"], \"Transformed WP\": [\"a b c d e f g h i j\", \"b a d c e g f h i j\", \"a b c d e f g h i j\", \"b a d c e g f h i j\"]}, \n\t\t\"216\": {\"No.\": [\"1\", \"2\", \"3\", \"4\", \"5\", \"6\", \"7\", \"8\"], \"Coset Representative\": [\"x,y,z\", \"x+1/4,y+1/4,z+1/4\", \"x+1/2,y+1/2,z+1/2\", \"x+3/4,y+3/4,z+3/4\", \"-x,-y,-z\", \"-x+1/4,-y+1/4,-z+1/4\", \"-x+1/2,-y+1/2,-z+1/2\", \"-x+3/4,-y+3/4,-z+3/4\"], \"Geometrical Interpretation\": [\"1\", \"t (1/4,1/4,1/4)\", \"t (1/2,1/2,1/2)\", \"t (3/4,3/4,3/4)\", \"-1 0,0,0\", \"-1 1/8,1/8,1/8\", \"-1 1/4,1/4,1/4\", \"-1 3/8,3/8,3/8\"], \"Transformed WP\": [\"a b c d e f g h i \", \"d c a b e g f h i\", \"b a d c e f g h i\", \"c d b a e g f h i\", \"a b d c e f g h i \", \"c d a b e g f h i\", \"b a c d e f g h i\", \"d c b a e g f h i\"]}, \n\t\t\"217\": {\"No.\": [\"1\", \"2\"], \"Coset Representative\": [\"x,y,z\", \"-x,-y,-z\"], \"Geometrical Interpretation\": [\"1\", \"-1 0,0,0\"], \"Transformed WP\": [\"a b c d e f g h\", \"a b c d e f g h\"]}, \n\t\t\"218\": {\"No.\": [\"1\", \"2\", \"3\", \"4\"], \"Coset Representative\": [\"x,y,z\", \"x+1/2,y+1/2,z+1/2\", \"-x,-y,-z\", \"-x+1/2,-y+1/2,-z+1/2\"], \"Geometrical Interpretation\": [\"1\", \"t (1/2,1/2,1/2)\", \"-1 0,0,0\", \"-1 1/4,1/4,1/4\"], \"Transformed WP\": [\"a b c d e f g h i\", \"a b d c e f h g i\", \"a b c d e f g h i\", \"a b d c e f h g i\"]}, \n\t\t\"219\": {\"No.\": [\"1\", \"2\", \"3\", \"4\", \"5\", \"6\", \"7\", \"8\"], \"Coset Representative\": [\"x,y,z\", \"x+1/4,y+1/4,z+1/4\", \"x+1/2,y+1/2,z+1/2\", \"x+3/4,y+3/4,z+3/4\", \"-x,-y,-z\", \"-x+1/4,-y+1/4,-z+1/4\", \"-x+1/2,-y+1/2,-z+1/2\", \"-x+3/4,-y+3/4,-z+3/4\"], \"Geometrical Interpretation\": [\"1\", \"t (1/4,1/4,1/4)\", \"t (1/2,1/2,1/2)\", \"t (3/4,3/4,3/4)\", \"-1 0,0,0\", \"-1 1/8,1/8,1/8\", \"-1 1/4,1/4,1/4\", \"-1 3/8,3/8,3/8\"], \"Transformed WP\": [\"a b c d e f g h \", \"b a d c e g f h\", \"a b c d e f g h \", \"b a d c e g f h\", \"a b c d e f g h \", \"b a d c e g f h\", \"a b c d e f g h \", \"b a d c e g f h\"]}, \n\t\t\"220\": {\"No.\": [\"1\", \"2\"], \"Coset Representative\": [\"x,y,z\", \"-x,-y,-z\"], \"Geometrical Interpretation\": [\"1\", \"-1 0,0,0\"], \"Transformed WP\": [\"a b c d e\", \"b a c d e\"]}, \n\t\t\"221\": {\"No.\": [\"1\", \"2\"], \"Coset Representative\": [\"x,y,z\", \"x+1/2,y+1/2,z+1/2\"], \"Geometrical Interpretation\": [\"1\", \"t (1/2,1/2,1/2)\"], \"Transformed WP\": [\"a b c d e f g h i j k l m n\", \"b a d c f e g h j i l k m n\"]}, \n\t\t\"222\": {\"No.\": [\"1\", \"2\"], \"Coset Representative\": [\"x,y,z\", \"x+1/2,y+1/2,z+1/2\"], \"Geometrical Interpretation\": [\"1\", \"t (1/2,1/2,1/2)\"], \"Transformed WP\": [\"a b c d e f g h i\", \"a b c d e f g h i\"]}, \n\t\t\"223\": {\"No.\": [\"1\", \"2\"], \"Coset Representative\": [\"x,y,z\", \"x+1/2,y+1/2,z+1/2\"], \"Geometrical Interpretation\": [\"1\", \"t (1/2,1/2,1/2)\"], \"Transformed WP\": [\"a b c d e f g h i j k l\", \"a b d c e f h g i j k l\"]}, \n\t\t\"224\": {\"No.\": [\"1\", \"2\"], \"Coset Representative\": [\"x,y,z\", \"x+1/2,y+1/2,z+1/2\"], \"Geometrical Interpretation\": [\"1\", \"t (1/2,1/2,1/2)\"], \"Transformed WP\": [\"a b c d e f g h i j k l\", \"a c b d e f g h j i k l\"]}, \n\t\t\"225\": {\"No.\": [\"1\", \"2\"], \"Coset Representative\": [\"x,y,z\", \"x+1/2,y+1/2,z+1/2\"], \"Geometrical Interpretation\": [\"1\", \"t (1/2,1/2,1/2)\"], \"Transformed WP\": [\"a b c d e f g h i j k l\", \"b a c d e f g i h j k l\"]}, \n\t\t\"226\": {\"No.\": [\"1\", \"2\"], \"Coset Representative\": [\"x,y,z\", \"x+1/2,y+1/2,z+1/2\"], \"Geometrical Interpretation\": [\"1\", \"t (1/2,1/2,1/2)\"], \"Transformed WP\": [\"a b c d e f g h i j\", \"a b c d e f g h i j\"]}, \n\t\t\"227\": {\"No.\": [\"1\", \"2\"], \"Coset Representative\": [\"x,y,z\", \"x+1/2,y+1/2,z+1/2\"], \"Geometrical Interpretation\": [\"1\", \"t (1/2,1/2,1/2)\"], \"Transformed WP\": [\"a b c d e f g h i\", \"b a d c e f g h i\"]}, \n\t\t\"228\": {\"No.\": [\"1\", \"2\"], \"Coset Representative\": [\"x,y,z\", \"x+1/2,y+1/2,z+1/2\"], \"Geometrical Interpretation\": [\"1\", \"t (1/2,1/2,1/2)\"], \"Transformed WP\": [\"a b c d e f g h\", \"a b c d e f g h\"]}, \n\t\t\"229\": {\"No.\": [\"1\"], \"Coset Representative\": [\"x,y,z\"], \"Geometrical Interpretation\": [\"1\"], \"Transformed WP\": [\"a b c d e f g h i j k l\"]}, \n\t\t\"230\": {\"No.\": [\"1\"], \"Coset Representative\": [\"x,y,z\"], \"Geometrical Interpretation\": [\"1\"], \"Transformed WP\": [\"a b c d e f g h\"]}\n}\n"
  },
  {
    "path": "pyxtal/database/wyckoff_symmetry.csv",
    "content": ",0\n0,\n1,\"[[['x, y, z']]]\"\n2,\"[[['x, y, z'], ['x, y, z']], [['x, y, z', '-x+1, -y+1, -z+1']], [['x, y, z', '-x, -y+1, -z+1']], [['x, y, z', '-x+1, -y, -z+1']], [['x, y, z', '-x+1, -y+1, -z']], [['x, y, z', '-x+1, -y, -z']], [['x, y, z', '-x, -y+1, -z']], [['x, y, z', '-x, -y, -z+1']], [['x, y, z', '-x, -y, -z']]]\"\n3,\"[[['x, y, z'], ['x, y, z']], [['x, y, z', '-x+1, y, -z+1']], [['x, y, z', '-x+1, y, -z']], [['x, y, z', '-x, y, -z+1']], [['x, y, z', '-x, y, -z']]]\"\n4,\"[[['x, y, z'], ['x, y, z']]]\"\n5,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-x, y, -z+1'], ['x, y, z', '-x+1, y, -z+1']], [['x, y, z', '-x, y, -z'], ['x, y, z', '-x+1, y, -z']]]\"\n6,\"[[['x, y, z'], ['x, y, z']], [['x, y, z', 'x, -y+1, z']], [['x, y, z', 'x, -y, z']]]\"\n7,\"[[['x, y, z'], ['x, y, z']]]\"\n8,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', 'x, -y, z'], ['x, y, z', 'x, -y+1, z']]]\"\n9,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']]]\"\n10,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', 'x, -y+1, z'], ['x, y, z', 'x, -y+1, z']], [['x, y, z', 'x, -y, z'], ['x, y, z', 'x, -y, z']], [['x, y, z', '-x+1, y, -z+1'], ['x, y, z', '-x+1, y, -z+1']], [['x, y, z', '-x, y, -z+1'], ['x, y, z', '-x, y, -z+1']], [['x, y, z', '-x+1, y, -z'], ['x, y, z', '-x+1, y, -z']], [['x, y, z', '-x, y, -z'], ['x, y, z', '-x, y, -z']], [['x, y, z', '-x+1, y, -z+1', '-x+1, -y+1, -z+1', 'x, -y+1, z']], [['x, y, z', '-x+1, y, -z+1', '-x+1, -y, -z+1', 'x, -y, z']], [['x, y, z', '-x, y, -z+1', '-x, -y+1, -z+1', 'x, -y+1, z']], [['x, y, z', '-x+1, y, -z', '-x+1, -y+1, -z', 'x, -y+1, z']], [['x, y, z', '-x+1, y, -z', '-x+1, -y, -z', 'x, -y, z']], [['x, y, z', '-x, y, -z+1', '-x, -y, -z+1', 'x, -y, z']], [['x, y, z', '-x, y, -z', '-x, -y+1, -z', 'x, -y+1, z']], [['x, y, z', '-x, y, -z', '-x, -y, -z', 'x, -y, z']]]\"\n11,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', 'x, -y+1/2, z'], ['x, y, z', 'x, -y+3/2, z']], [['x, y, z', '-x+1, -y, -z+1'], ['x, y, z', '-x+1, -y+1, -z+1']], [['x, y, z', '-x, -y, -z+1'], ['x, y, z', '-x, -y+1, -z+1']], [['x, y, z', '-x+1, -y, -z'], ['x, y, z', '-x+1, -y+1, -z']], [['x, y, z', '-x, -y, -z'], ['x, y, z', '-x, -y+1, -z']]]\"\n12,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', 'x, -y, z'], ['x, y, z', 'x, -y, z'], ['x, y, z', 'x, -y+1, z'], ['x, y, z', 'x, -y+1, z']], [['x, y, z', '-x, y, -z+1'], ['x, y, z', '-x, y, -z+1'], ['x, y, z', '-x+1, y, -z+1'], ['x, y, z', '-x+1, y, -z+1']], [['x, y, z', '-x, y, -z'], ['x, y, z', '-x, y, -z'], ['x, y, z', '-x+1, y, -z'], ['x, y, z', '-x+1, y, -z']], [['x, y, z', '-x+1/2, -y+1/2, -z+1'], ['x, y, z', '-x+3/2, -y+1/2, -z+1'], ['x, y, z', '-x+3/2, -y+3/2, -z+1'], ['x, y, z', '-x+5/2, -y+3/2, -z+1']], [['x, y, z', '-x+1/2, -y+1/2, -z'], ['x, y, z', '-x+3/2, -y+1/2, -z'], ['x, y, z', '-x+3/2, -y+3/2, -z'], ['x, y, z', '-x+5/2, -y+3/2, -z']], [['x, y, z', '-x, y, -z+1', '-x, -y+1, -z+1', 'x, -y+1, z'], ['x, y, z', '-x+1, y, -z+1', '-x+1, -y+2, -z+1', 'x, -y+2, z']], [['x, y, z', '-x, y, -z+1', '-x, -y, -z+1', 'x, -y, z'], ['x, y, z', '-x+1, y, -z+1', '-x+1, -y+1, -z+1', 'x, -y+1, z']], [['x, y, z', '-x, y, -z', '-x, -y+1, -z', 'x, -y+1, z'], ['x, y, z', '-x+1, y, -z', '-x+1, -y+2, -z', 'x, -y+2, z']], [['x, y, z', '-x, y, -z', '-x, -y, -z', 'x, -y, z'], ['x, y, z', '-x+1, y, -z', '-x+1, -y+1, -z', 'x, -y+1, z']]]\"\n13,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-x+1, y, -z+1/2'], ['x, y, z', '-x+1, y, -z+3/2']], [['x, y, z', '-x, y, -z+1/2'], ['x, y, z', '-x, y, -z+3/2']], [['x, y, z', '-x+1, -y, -z'], ['x, y, z', '-x+1, -y, -z+1']], [['x, y, z', '-x, -y+1, -z'], ['x, y, z', '-x, -y+1, -z+1']], [['x, y, z', '-x+1, -y+1, -z'], ['x, y, z', '-x+1, -y+1, -z+1']], [['x, y, z', '-x, -y, -z'], ['x, y, z', '-x, -y, -z+1']]]\"\n14,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-x+1, -y, -z+1'], ['x, y, z', '-x+1, -y+1, -z']], [['x, y, z', '-x, -y, -z+1'], ['x, y, z', '-x, -y+1, -z']], [['x, y, z', '-x+1, -y, -z'], ['x, y, z', '-x+1, -y+1, -z+1']], [['x, y, z', '-x, -y, -z'], ['x, y, z', '-x, -y+1, -z+1']]]\"\n15,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-x, y, -z+1/2'], ['x, y, z', '-x, y, -z+3/2'], ['x, y, z', '-x+1, y, -z+1/2'], ['x, y, z', '-x+1, y, -z+3/2']], [['x, y, z', '-x+1/2, -y+1/2, -z+1'], ['x, y, z', '-x+3/2, -y+1/2, -z'], ['x, y, z', '-x+3/2, -y+3/2, -z+1'], ['x, y, z', '-x+5/2, -y+3/2, -z']], [['x, y, z', '-x+1/2, -y+1/2, -z'], ['x, y, z', '-x+3/2, -y+1/2, -z+1'], ['x, y, z', '-x+3/2, -y+3/2, -z'], ['x, y, z', '-x+5/2, -y+3/2, -z+1']], [['x, y, z', '-x, -y+1, -z'], ['x, y, z', '-x, -y+1, -z+1'], ['x, y, z', '-x+1, -y+2, -z'], ['x, y, z', '-x+1, -y+2, -z+1']], [['x, y, z', '-x, -y, -z'], ['x, y, z', '-x, -y, -z+1'], ['x, y, z', '-x+1, -y+1, -z'], ['x, y, z', '-x+1, -y+1, -z+1']]]\"\n16,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-x+1, -y+1, z'], ['x, y, z', '-x+1, -y+1, z']], [['x, y, z', '-x, -y+1, z'], ['x, y, z', '-x, -y+1, z']], [['x, y, z', '-x+1, -y, z'], ['x, y, z', '-x+1, -y, z']], [['x, y, z', '-x, -y, z'], ['x, y, z', '-x, -y, z']], [['x, y, z', '-x+1, y, -z+1'], ['x, y, z', '-x+1, y, -z+1']], [['x, y, z', '-x+1, y, -z'], ['x, y, z', '-x+1, y, -z']], [['x, y, z', '-x, y, -z+1'], ['x, y, z', '-x, y, -z+1']], [['x, y, z', '-x, y, -z'], ['x, y, z', '-x, y, -z']], [['x, y, z', 'x, -y+1, -z+1'], ['x, y, z', 'x, -y+1, -z+1']], [['x, y, z', 'x, -y+1, -z'], ['x, y, z', 'x, -y+1, -z']], [['x, y, z', 'x, -y, -z+1'], ['x, y, z', 'x, -y, -z+1']], [['x, y, z', 'x, -y, -z'], ['x, y, z', 'x, -y, -z']], [['x, y, z', '-x+1, -y+1, z', '-x+1, y, -z+1', 'x, -y+1, -z+1']], [['x, y, z', '-x, -y+1, z', '-x, y, -z+1', 'x, -y+1, -z+1']], [['x, y, z', '-x+1, -y, z', '-x+1, y, -z+1', 'x, -y, -z+1']], [['x, y, z', '-x+1, -y+1, z', '-x+1, y, -z', 'x, -y+1, -z']], [['x, y, z', '-x, -y, z', '-x, y, -z+1', 'x, -y, -z+1']], [['x, y, z', '-x, -y+1, z', '-x, y, -z', 'x, -y+1, -z']], [['x, y, z', '-x+1, -y, z', '-x+1, y, -z', 'x, -y, -z']], [['x, y, z', '-x, -y, z', '-x, y, -z', 'x, -y, -z']]]\"\n17,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-x+1, y, -z+1/2'], ['x, y, z', '-x+1, y, -z+3/2']], [['x, y, z', '-x, y, -z+1/2'], ['x, y, z', '-x, y, -z+3/2']], [['x, y, z', 'x, -y+1, -z'], ['x, y, z', 'x, -y+1, -z+1']], [['x, y, z', 'x, -y, -z'], ['x, y, z', 'x, -y, -z+1']]]\"\n18,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-x, -y+1, z'], ['x, y, z', '-x+1, -y, z']], [['x, y, z', '-x, -y, z'], ['x, y, z', '-x+1, -y+1, z']]]\"\n19,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']]]\"\n20,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-x, y, -z+1/2'], ['x, y, z', '-x, y, -z+3/2'], ['x, y, z', '-x+1, y, -z+1/2'], ['x, y, z', '-x+1, y, -z+3/2']], [['x, y, z', 'x, -y, -z'], ['x, y, z', 'x, -y, -z+1'], ['x, y, z', 'x, -y+1, -z'], ['x, y, z', 'x, -y+1, -z+1']]]\"\n21,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-x+1/2, -y+1/2, z'], ['x, y, z', '-x+3/2, -y+1/2, z'], ['x, y, z', '-x+3/2, -y+3/2, z'], ['x, y, z', '-x+5/2, -y+3/2, z']], [['x, y, z', '-x, -y+1, z'], ['x, y, z', '-x, -y+1, z'], ['x, y, z', '-x+1, -y+2, z'], ['x, y, z', '-x+1, -y+2, z']], [['x, y, z', '-x, -y, z'], ['x, y, z', '-x, -y, z'], ['x, y, z', '-x+1, -y+1, z'], ['x, y, z', '-x+1, -y+1, z']], [['x, y, z', '-x, y, -z+1'], ['x, y, z', '-x, y, -z+1'], ['x, y, z', '-x+1, y, -z+1'], ['x, y, z', '-x+1, y, -z+1']], [['x, y, z', '-x, y, -z'], ['x, y, z', '-x, y, -z'], ['x, y, z', '-x+1, y, -z'], ['x, y, z', '-x+1, y, -z']], [['x, y, z', 'x, -y, -z+1'], ['x, y, z', 'x, -y, -z+1'], ['x, y, z', 'x, -y+1, -z+1'], ['x, y, z', 'x, -y+1, -z+1']], [['x, y, z', 'x, -y, -z'], ['x, y, z', 'x, -y, -z'], ['x, y, z', 'x, -y+1, -z'], ['x, y, z', 'x, -y+1, -z']], [['x, y, z', '-x, -y, z', '-x, y, -z+1', 'x, -y, -z+1'], ['x, y, z', '-x+1, -y+1, z', '-x+1, y, -z+1', 'x, -y+1, -z+1']], [['x, y, z', '-x+1, -y, z', '-x+1, y, -z+1', 'x, -y, -z+1'], ['x, y, z', '-x+2, -y+1, z', '-x+2, y, -z+1', 'x, -y+1, -z+1']], [['x, y, z', '-x, -y+1, z', '-x, y, -z', 'x, -y+1, -z'], ['x, y, z', '-x+1, -y+2, z', '-x+1, y, -z', 'x, -y+2, -z']], [['x, y, z', '-x, -y, z', '-x, y, -z', 'x, -y, -z'], ['x, y, z', '-x+1, -y+1, z', '-x+1, y, -z', 'x, -y+1, -z']]]\"\n22,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', 'x, -y+1/2, -z+1/2'], ['x, y, z', 'x, -y+3/2, -z+1/2'], ['x, y, z', 'x, -y+3/2, -z+3/2'], ['x, y, z', 'x, -y+5/2, -z+3/2'], ['x, y, z', 'x, -y+1/2, -z+3/2'], ['x, y, z', 'x, -y+3/2, -z+3/2'], ['x, y, z', 'x, -y+3/2, -z+1/2'], ['x, y, z', 'x, -y+5/2, -z+1/2']], [['x, y, z', '-x+1/2, y, -z+1/2'], ['x, y, z', '-x+3/2, y, -z+1/2'], ['x, y, z', '-x+1/2, y, -z+3/2'], ['x, y, z', '-x+3/2, y, -z+3/2'], ['x, y, z', '-x+3/2, y, -z+3/2'], ['x, y, z', '-x+5/2, y, -z+3/2'], ['x, y, z', '-x+3/2, y, -z+1/2'], ['x, y, z', '-x+5/2, y, -z+1/2']], [['x, y, z', '-x+1/2, -y+1/2, z'], ['x, y, z', '-x+3/2, -y+1/2, z'], ['x, y, z', '-x+1/2, -y+3/2, z'], ['x, y, z', '-x+3/2, -y+3/2, z'], ['x, y, z', '-x+3/2, -y+1/2, z'], ['x, y, z', '-x+5/2, -y+1/2, z'], ['x, y, z', '-x+3/2, -y+3/2, z'], ['x, y, z', '-x+5/2, -y+3/2, z']], [['x, y, z', '-x, -y, z'], ['x, y, z', '-x, -y, z'], ['x, y, z', '-x, -y+1, z'], ['x, y, z', '-x, -y+1, z'], ['x, y, z', '-x+1, -y, z'], ['x, y, z', '-x+1, -y, z'], ['x, y, z', '-x+1, -y+1, z'], ['x, y, z', '-x+1, -y+1, z']], [['x, y, z', '-x, y, -z'], ['x, y, z', '-x, y, -z'], ['x, y, z', '-x, y, -z+1'], ['x, y, z', '-x, y, -z+1'], ['x, y, z', '-x+1, y, -z+1'], ['x, y, z', '-x+1, y, -z+1'], ['x, y, z', '-x+1, y, -z'], ['x, y, z', '-x+1, y, -z']], [['x, y, z', 'x, -y, -z'], ['x, y, z', 'x, -y, -z'], ['x, y, z', 'x, -y+1, -z+1'], ['x, y, z', 'x, -y+1, -z+1'], ['x, y, z', 'x, -y, -z+1'], ['x, y, z', 'x, -y, -z+1'], ['x, y, z', 'x, -y+1, -z'], ['x, y, z', 'x, -y+1, -z']], [['x, y, z', 'x, -y+1/2, -z+3/2', '-x+1/2, y, -z+3/2', '-x+1/2, -y+1/2, z'], ['x, y, z', 'x, -y+3/2, -z+5/2', '-x+1/2, y, -z+5/2', '-x+1/2, -y+3/2, z'], ['x, y, z', 'x, -y+1/2, -z+5/2', '-x+3/2, y, -z+5/2', '-x+3/2, -y+1/2, z'], ['x, y, z', 'x, -y+3/2, -z+3/2', '-x+3/2, y, -z+3/2', '-x+3/2, -y+3/2, z']], [['x, y, z', 'x, -y+1/2, -z+1/2', '-x+1/2, y, -z+1/2', '-x+1/2, -y+1/2, z'], ['x, y, z', 'x, -y+3/2, -z+3/2', '-x+1/2, y, -z+3/2', '-x+1/2, -y+3/2, z'], ['x, y, z', 'x, -y+1/2, -z+3/2', '-x+3/2, y, -z+3/2', '-x+3/2, -y+1/2, z'], ['x, y, z', 'x, -y+3/2, -z+1/2', '-x+3/2, y, -z+1/2', '-x+3/2, -y+3/2, z']], [['x, y, z', '-x, -y, z', '-x, y, -z+1', 'x, -y, -z+1'], ['x, y, z', '-x, -y+1, z', '-x, y, -z+2', 'x, -y+1, -z+2'], ['x, y, z', '-x+1, -y, z', '-x+1, y, -z+2', 'x, -y, -z+2'], ['x, y, z', '-x+1, -y+1, z', '-x+1, y, -z+1', 'x, -y+1, -z+1']], [['x, y, z', '-x, -y, z', '-x, y, -z', 'x, -y, -z'], ['x, y, z', '-x, -y+1, z', '-x, y, -z+1', 'x, -y+1, -z+1'], ['x, y, z', '-x+1, -y, z', '-x+1, y, -z+1', 'x, -y, -z+1'], ['x, y, z', '-x+1, -y+1, z', '-x+1, y, -z', 'x, -y+1, -z']]]\"\n23,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-x, -y+1, z'], ['x, y, z', '-x, -y+1, z'], ['x, y, z', '-x+1, -y+2, z'], ['x, y, z', '-x+1, -y+2, z']], [['x, y, z', '-x, -y, z'], ['x, y, z', '-x, -y, z'], ['x, y, z', '-x+1, -y+1, z'], ['x, y, z', '-x+1, -y+1, z']], [['x, y, z', '-x+1, y, -z'], ['x, y, z', '-x+1, y, -z'], ['x, y, z', '-x+2, y, -z+1'], ['x, y, z', '-x+2, y, -z+1']], [['x, y, z', '-x, y, -z'], ['x, y, z', '-x, y, -z'], ['x, y, z', '-x+1, y, -z+1'], ['x, y, z', '-x+1, y, -z+1']], [['x, y, z', 'x, -y, -z+1'], ['x, y, z', 'x, -y, -z+1'], ['x, y, z', 'x, -y+1, -z+2'], ['x, y, z', 'x, -y+1, -z+2']], [['x, y, z', 'x, -y, -z'], ['x, y, z', 'x, -y, -z'], ['x, y, z', 'x, -y+1, -z+1'], ['x, y, z', 'x, -y+1, -z+1']], [['x, y, z', '-x, -y+1, z', '-x, y, -z', 'x, -y+1, -z'], ['x, y, z', '-x+1, -y+2, z', '-x+1, y, -z+1', 'x, -y+2, -z+1']], [['x, y, z', '-x, -y, z', '-x, y, -z+1', 'x, -y, -z+1'], ['x, y, z', '-x+1, -y+1, z', '-x+1, y, -z+2', 'x, -y+1, -z+2']], [['x, y, z', '-x+1, -y, z', '-x+1, y, -z', 'x, -y, -z'], ['x, y, z', '-x+2, -y+1, z', '-x+2, y, -z+1', 'x, -y+1, -z+1']], [['x, y, z', '-x, -y, z', '-x, y, -z', 'x, -y, -z'], ['x, y, z', '-x+1, -y+1, z', '-x+1, y, -z+1', 'x, -y+1, -z+1']]]\"\n24,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-x, -y+1/2, z'], ['x, y, z', '-x, -y+3/2, z'], ['x, y, z', '-x+1, -y+3/2, z'], ['x, y, z', '-x+1, -y+5/2, z']], [['x, y, z', '-x+1/2, y, -z'], ['x, y, z', '-x+1/2, y, -z+1'], ['x, y, z', '-x+3/2, y, -z+1'], ['x, y, z', '-x+3/2, y, -z+2']], [['x, y, z', 'x, -y, -z+1/2'], ['x, y, z', 'x, -y, -z+3/2'], ['x, y, z', 'x, -y+1, -z+3/2'], ['x, y, z', 'x, -y+1, -z+5/2']]]\"\n25,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-x+1, y, z'], ['x, y, z', '-x+1, y, z']], [['x, y, z', '-x, y, z'], ['x, y, z', '-x, y, z']], [['x, y, z', 'x, -y+1, z'], ['x, y, z', 'x, -y+1, z']], [['x, y, z', 'x, -y, z'], ['x, y, z', 'x, -y, z']], [['x, y, z', '-x+1, -y+1, z', 'x, -y+1, z', '-x+1, y, z']], [['x, y, z', '-x+1, -y, z', 'x, -y, z', '-x+1, y, z']], [['x, y, z', '-x, -y+1, z', 'x, -y+1, z', '-x, y, z']], [['x, y, z', '-x, -y, z', 'x, -y, z', '-x, y, z']]]\"\n26,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-x+1, y, z'], ['x, y, z', '-x+1, y, z']], [['x, y, z', '-x, y, z'], ['x, y, z', '-x, y, z']]]\"\n27,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-x+1, -y+1, z'], ['x, y, z', '-x+1, -y+1, z']], [['x, y, z', '-x+1, -y, z'], ['x, y, z', '-x+1, -y, z']], [['x, y, z', '-x, -y+1, z'], ['x, y, z', '-x, -y+1, z']], [['x, y, z', '-x, -y, z'], ['x, y, z', '-x, -y, z']]]\"\n28,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-x+1/2, y, z'], ['x, y, z', '-x+3/2, y, z']], [['x, y, z', '-x, -y+1, z'], ['x, y, z', '-x+1, -y+1, z']], [['x, y, z', '-x, -y, z'], ['x, y, z', '-x+1, -y, z']]]\"\n29,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']]]\"\n30,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-x+1, -y, z'], ['x, y, z', '-x+1, -y+1, z']], [['x, y, z', '-x, -y, z'], ['x, y, z', '-x, -y+1, z']]]\"\n31,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-x, y, z'], ['x, y, z', '-x+1, y, z']]]\"\n32,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-x, -y+1, z'], ['x, y, z', '-x+1, -y, z']], [['x, y, z', '-x, -y, z'], ['x, y, z', '-x+1, -y+1, z']]]\"\n33,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']]]\"\n34,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-x, -y+1, z'], ['x, y, z', '-x+1, -y, z']], [['x, y, z', '-x, -y, z'], ['x, y, z', '-x+1, -y+1, z']]]\"\n35,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-x, y, z'], ['x, y, z', '-x, y, z'], ['x, y, z', '-x+1, y, z'], ['x, y, z', '-x+1, y, z']], [['x, y, z', 'x, -y, z'], ['x, y, z', 'x, -y, z'], ['x, y, z', 'x, -y+1, z'], ['x, y, z', 'x, -y+1, z']], [['x, y, z', '-x+1/2, -y+1/2, z'], ['x, y, z', '-x+1/2, -y+3/2, z'], ['x, y, z', '-x+3/2, -y+3/2, z'], ['x, y, z', '-x+3/2, -y+5/2, z']], [['x, y, z', '-x, -y+1, z', 'x, -y+1, z', '-x, y, z'], ['x, y, z', '-x+1, -y+2, z', 'x, -y+2, z', '-x+1, y, z']], [['x, y, z', '-x, -y, z', 'x, -y, z', '-x, y, z'], ['x, y, z', '-x+1, -y+1, z', 'x, -y+1, z', '-x+1, y, z']]]\"\n36,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-x, y, z'], ['x, y, z', '-x, y, z'], ['x, y, z', '-x+1, y, z'], ['x, y, z', '-x+1, y, z']]]\"\n37,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-x+1/2, -y+1/2, z'], ['x, y, z', '-x+1/2, -y+3/2, z'], ['x, y, z', '-x+3/2, -y+3/2, z'], ['x, y, z', '-x+3/2, -y+5/2, z']], [['x, y, z', '-x, -y+1, z'], ['x, y, z', '-x, -y+1, z'], ['x, y, z', '-x+1, -y+2, z'], ['x, y, z', '-x+1, -y+2, z']], [['x, y, z', '-x, -y, z'], ['x, y, z', '-x, -y, z'], ['x, y, z', '-x+1, -y+1, z'], ['x, y, z', '-x+1, -y+1, z']]]\"\n38,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-x+1, y, z'], ['x, y, z', '-x+1, y, z'], ['x, y, z', '-x+1, y, z'], ['x, y, z', '-x+1, y, z']], [['x, y, z', '-x, y, z'], ['x, y, z', '-x, y, z'], ['x, y, z', '-x, y, z'], ['x, y, z', '-x, y, z']], [['x, y, z', 'x, -y, z'], ['x, y, z', 'x, -y, z'], ['x, y, z', 'x, -y+1, z'], ['x, y, z', 'x, -y+1, z']], [['x, y, z', '-x+1, -y, z', 'x, -y, z', '-x+1, y, z'], ['x, y, z', '-x+1, -y+1, z', 'x, -y+1, z', '-x+1, y, z']], [['x, y, z', '-x, -y, z', 'x, -y, z', '-x, y, z'], ['x, y, z', '-x, -y+1, z', 'x, -y+1, z', '-x, y, z']]]\"\n39,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', 'x, -y+1/2, z'], ['x, y, z', 'x, -y+3/2, z'], ['x, y, z', 'x, -y+3/2, z'], ['x, y, z', 'x, -y+5/2, z']], [['x, y, z', '-x+1, -y, z'], ['x, y, z', '-x+1, -y+1, z'], ['x, y, z', '-x+1, -y+1, z'], ['x, y, z', '-x+1, -y+2, z']], [['x, y, z', '-x, -y, z'], ['x, y, z', '-x, -y+1, z'], ['x, y, z', '-x, -y+1, z'], ['x, y, z', '-x, -y+2, z']]]\"\n40,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-x+1/2, y, z'], ['x, y, z', '-x+3/2, y, z'], ['x, y, z', '-x+1/2, y, z'], ['x, y, z', '-x+3/2, y, z']], [['x, y, z', '-x, -y, z'], ['x, y, z', '-x+1, -y, z'], ['x, y, z', '-x, -y+1, z'], ['x, y, z', '-x+1, -y+1, z']]]\"\n41,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-x, -y, z'], ['x, y, z', '-x+1, -y+1, z'], ['x, y, z', '-x, -y+1, z'], ['x, y, z', '-x+1, -y+2, z']]]\"\n42,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', 'x, -y, z'], ['x, y, z', 'x, -y, z'], ['x, y, z', 'x, -y+1, z'], ['x, y, z', 'x, -y+1, z'], ['x, y, z', 'x, -y, z'], ['x, y, z', 'x, -y, z'], ['x, y, z', 'x, -y+1, z'], ['x, y, z', 'x, -y+1, z']], [['x, y, z', '-x, y, z'], ['x, y, z', '-x, y, z'], ['x, y, z', '-x, y, z'], ['x, y, z', '-x, y, z'], ['x, y, z', '-x+1, y, z'], ['x, y, z', '-x+1, y, z'], ['x, y, z', '-x+1, y, z'], ['x, y, z', '-x+1, y, z']], [['x, y, z', '-x+1/2, -y+1/2, z'], ['x, y, z', '-x+1/2, -y+3/2, z'], ['x, y, z', '-x+1/2, -y+3/2, z'], ['x, y, z', '-x+1/2, -y+5/2, z'], ['x, y, z', '-x+3/2, -y+1/2, z'], ['x, y, z', '-x+3/2, -y+3/2, z'], ['x, y, z', '-x+3/2, -y+3/2, z'], ['x, y, z', '-x+3/2, -y+5/2, z']], [['x, y, z', '-x, -y, z', 'x, -y, z', '-x, y, z'], ['x, y, z', '-x, -y+1, z', 'x, -y+1, z', '-x, y, z'], ['x, y, z', '-x+1, -y, z', 'x, -y, z', '-x+1, y, z'], ['x, y, z', '-x+1, -y+1, z', 'x, -y+1, z', '-x+1, y, z']]]\"\n43,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-x, -y, z'], ['x, y, z', '-x+1/2, -y+1/2, z'], ['x, y, z', '-x, -y+1, z'], ['x, y, z', '-x+1/2, -y+3/2, z'], ['x, y, z', '-x+1, -y, z'], ['x, y, z', '-x+3/2, -y+1/2, z'], ['x, y, z', '-x+1, -y+1, z'], ['x, y, z', '-x+3/2, -y+3/2, z']]]\"\n44,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-x, y, z'], ['x, y, z', '-x, y, z'], ['x, y, z', '-x+1, y, z'], ['x, y, z', '-x+1, y, z']], [['x, y, z', 'x, -y, z'], ['x, y, z', 'x, -y, z'], ['x, y, z', 'x, -y+1, z'], ['x, y, z', 'x, -y+1, z']], [['x, y, z', '-x, -y+1, z', 'x, -y+1, z', '-x, y, z'], ['x, y, z', '-x+1, -y+2, z', 'x, -y+2, z', '-x+1, y, z']], [['x, y, z', '-x, -y, z', 'x, -y, z', '-x, y, z'], ['x, y, z', '-x+1, -y+1, z', 'x, -y+1, z', '-x+1, y, z']]]\"\n45,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-x, -y+1, z'], ['x, y, z', '-x+1, -y, z'], ['x, y, z', '-x+1, -y+2, z'], ['x, y, z', '-x+2, -y+1, z']], [['x, y, z', '-x, -y, z'], ['x, y, z', '-x+1, -y+1, z'], ['x, y, z', '-x+1, -y+1, z'], ['x, y, z', '-x+2, -y+2, z']]]\"\n46,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-x+1/2, y, z'], ['x, y, z', '-x+3/2, y, z'], ['x, y, z', '-x+3/2, y, z'], ['x, y, z', '-x+5/2, y, z']], [['x, y, z', '-x, -y, z'], ['x, y, z', '-x+1, -y, z'], ['x, y, z', '-x+1, -y+1, z'], ['x, y, z', '-x+2, -y+1, z']]]\"\n47,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1']], [['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z']], [['x, y, z', 'x, -y+1, z'], ['x, y, z', 'x, -y+1, z'], ['x, y, z', 'x, -y+1, z'], ['x, y, z', 'x, -y+1, z']], [['x, y, z', 'x, -y, z'], ['x, y, z', 'x, -y, z'], ['x, y, z', 'x, -y, z'], ['x, y, z', 'x, -y, z']], [['x, y, z', '-x+1, y, z'], ['x, y, z', '-x+1, y, z'], ['x, y, z', '-x+1, y, z'], ['x, y, z', '-x+1, y, z']], [['x, y, z', '-x, y, z'], ['x, y, z', '-x, y, z'], ['x, y, z', '-x, y, z'], ['x, y, z', '-x, y, z']], [['x, y, z', '-x+1, -y+1, z', 'x, -y+1, z', '-x+1, y, z'], ['x, y, z', '-x+1, -y+1, z', 'x, -y+1, z', '-x+1, y, z']], [['x, y, z', '-x+1, -y, z', 'x, -y, z', '-x+1, y, z'], ['x, y, z', '-x+1, -y, z', 'x, -y, z', '-x+1, y, z']], [['x, y, z', '-x, -y+1, z', 'x, -y+1, z', '-x, y, z'], ['x, y, z', '-x, -y+1, z', 'x, -y+1, z', '-x, y, z']], [['x, y, z', '-x, -y, z', 'x, -y, z', '-x, y, z'], ['x, y, z', '-x, -y, z', 'x, -y, z', '-x, y, z']], [['x, y, z', '-x+1, y, -z+1', 'x, y, -z+1', '-x+1, y, z'], ['x, y, z', '-x+1, y, -z+1', 'x, y, -z+1', '-x+1, y, z']], [['x, y, z', '-x+1, y, -z', 'x, y, -z', '-x+1, y, z'], ['x, y, z', '-x+1, y, -z', 'x, y, -z', '-x+1, y, z']], [['x, y, z', '-x, y, -z+1', 'x, y, -z+1', '-x, y, z'], ['x, y, z', '-x, y, -z+1', 'x, y, -z+1', '-x, y, z']], [['x, y, z', '-x, y, -z', 'x, y, -z', '-x, y, z'], ['x, y, z', '-x, y, -z', 'x, y, -z', '-x, y, z']], [['x, y, z', 'x, -y+1, -z+1', 'x, y, -z+1', 'x, -y+1, z'], ['x, y, z', 'x, -y+1, -z+1', 'x, y, -z+1', 'x, -y+1, z']], [['x, y, z', 'x, -y+1, -z', 'x, y, -z', 'x, -y+1, z'], ['x, y, z', 'x, -y+1, -z', 'x, y, -z', 'x, -y+1, z']], [['x, y, z', 'x, -y, -z+1', 'x, y, -z+1', 'x, -y, z'], ['x, y, z', 'x, -y, -z+1', 'x, y, -z+1', 'x, -y, z']], [['x, y, z', 'x, -y, -z', 'x, y, -z', 'x, -y, z'], ['x, y, z', 'x, -y, -z', 'x, y, -z', 'x, -y, z']], [['x, y, z', '-x+1, -y+1, z', '-x+1, y, -z+1', 'x, -y+1, -z+1', '-x+1, -y+1, -z+1', 'x, y, -z+1', 'x, -y+1, z', '-x+1, y, z']], [['x, y, z', '-x, -y+1, z', '-x, y, -z+1', 'x, -y+1, -z+1', '-x, -y+1, -z+1', 'x, y, -z+1', 'x, -y+1, z', '-x, y, z']], [['x, y, z', '-x+1, -y+1, z', '-x+1, y, -z', 'x, -y+1, -z', '-x+1, -y+1, -z', 'x, y, -z', 'x, -y+1, z', '-x+1, y, z']], [['x, y, z', '-x, -y+1, z', '-x, y, -z', 'x, -y+1, -z', '-x, -y+1, -z', 'x, y, -z', 'x, -y+1, z', '-x, y, z']], [['x, y, z', '-x+1, -y, z', '-x+1, y, -z+1', 'x, -y, -z+1', '-x+1, -y, -z+1', 'x, y, -z+1', 'x, -y, z', '-x+1, y, z']], [['x, y, z', '-x, -y, z', '-x, y, -z+1', 'x, -y, -z+1', '-x, -y, -z+1', 'x, y, -z+1', 'x, -y, z', '-x, y, z']], [['x, y, z', '-x+1, -y, z', '-x+1, y, -z', 'x, -y, -z', '-x+1, -y, -z', 'x, y, -z', 'x, -y, z', '-x+1, y, z']], [['x, y, z', '-x, -y, z', '-x, y, -z', 'x, -y, -z', '-x, -y, -z', 'x, y, -z', 'x, -y, z', '-x, y, z']]]\"\n48,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-x+1/2, -y+3/2, z'], ['x, y, z', '-x+1/2, -y+3/2, z'], ['x, y, z', '-x+3/2, -y+1/2, z'], ['x, y, z', '-x+3/2, -y+1/2, z']], [['x, y, z', '-x+1/2, -y+1/2, z'], ['x, y, z', '-x+1/2, -y+1/2, z'], ['x, y, z', '-x+3/2, -y+3/2, z'], ['x, y, z', '-x+3/2, -y+3/2, z']], [['x, y, z', '-x+3/2, y, -z+1/2'], ['x, y, z', '-x+3/2, y, -z+1/2'], ['x, y, z', '-x+1/2, y, -z+3/2'], ['x, y, z', '-x+1/2, y, -z+3/2']], [['x, y, z', '-x+1/2, y, -z+1/2'], ['x, y, z', '-x+1/2, y, -z+1/2'], ['x, y, z', '-x+3/2, y, -z+3/2'], ['x, y, z', '-x+3/2, y, -z+3/2']], [['x, y, z', 'x, -y+1/2, -z+3/2'], ['x, y, z', 'x, -y+1/2, -z+3/2'], ['x, y, z', 'x, -y+3/2, -z+1/2'], ['x, y, z', 'x, -y+3/2, -z+1/2']], [['x, y, z', 'x, -y+1/2, -z+1/2'], ['x, y, z', 'x, -y+1/2, -z+1/2'], ['x, y, z', 'x, -y+3/2, -z+3/2'], ['x, y, z', 'x, -y+3/2, -z+3/2']], [['x, y, z', '-x, -y, -z'], ['x, y, z', '-x+1, -y+1, -z'], ['x, y, z', '-x+1, -y, -z+1'], ['x, y, z', '-x, -y+1, -z+1']], [['x, y, z', '-x+1, -y+1, -z+1'], ['x, y, z', '-x, -y, -z+1'], ['x, y, z', '-x, -y+1, -z'], ['x, y, z', '-x+1, -y, -z']], [['x, y, z', '-x+1/2, -y+3/2, z', '-x+1/2, y, -z+1/2', 'x, -y+3/2, -z+1/2'], ['x, y, z', '-x+3/2, -y+1/2, z', '-x+3/2, y, -z+3/2', 'x, -y+1/2, -z+3/2']], [['x, y, z', '-x+1/2, -y+1/2, z', '-x+1/2, y, -z+3/2', 'x, -y+1/2, -z+3/2'], ['x, y, z', '-x+3/2, -y+3/2, z', '-x+3/2, y, -z+1/2', 'x, -y+3/2, -z+1/2']], [['x, y, z', '-x+3/2, -y+1/2, z', '-x+3/2, y, -z+1/2', 'x, -y+1/2, -z+1/2'], ['x, y, z', '-x+1/2, -y+3/2, z', '-x+1/2, y, -z+3/2', 'x, -y+3/2, -z+3/2']], [['x, y, z', '-x+1/2, -y+1/2, z', '-x+1/2, y, -z+1/2', 'x, -y+1/2, -z+1/2'], ['x, y, z', '-x+3/2, -y+3/2, z', '-x+3/2, y, -z+3/2', 'x, -y+3/2, -z+3/2']]]\"\n49,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1']], [['x, y, z', '-x+1, -y, z'], ['x, y, z', '-x+1, -y, z'], ['x, y, z', '-x+1, -y, z'], ['x, y, z', '-x+1, -y, z']], [['x, y, z', '-x, -y+1, z'], ['x, y, z', '-x, -y+1, z'], ['x, y, z', '-x, -y+1, z'], ['x, y, z', '-x, -y+1, z']], [['x, y, z', '-x+1, -y+1, z'], ['x, y, z', '-x+1, -y+1, z'], ['x, y, z', '-x+1, -y+1, z'], ['x, y, z', '-x+1, -y+1, z']], [['x, y, z', '-x, -y, z'], ['x, y, z', '-x, -y, z'], ['x, y, z', '-x, -y, z'], ['x, y, z', '-x, -y, z']], [['x, y, z', '-x+1, y, -z+1/2'], ['x, y, z', '-x+1, y, -z+1/2'], ['x, y, z', '-x+1, y, -z+3/2'], ['x, y, z', '-x+1, y, -z+3/2']], [['x, y, z', '-x, y, -z+1/2'], ['x, y, z', '-x, y, -z+1/2'], ['x, y, z', '-x, y, -z+3/2'], ['x, y, z', '-x, y, -z+3/2']], [['x, y, z', 'x, -y+1, -z+1/2'], ['x, y, z', 'x, -y+1, -z+1/2'], ['x, y, z', 'x, -y+1, -z+3/2'], ['x, y, z', 'x, -y+1, -z+3/2']], [['x, y, z', 'x, -y, -z+1/2'], ['x, y, z', 'x, -y, -z+1/2'], ['x, y, z', 'x, -y, -z+3/2'], ['x, y, z', 'x, -y, -z+3/2']], [['x, y, z', '-x+1, -y+1, z', '-x+1, y, -z+1/2', 'x, -y+1, -z+1/2'], ['x, y, z', '-x+1, -y+1, z', '-x+1, y, -z+3/2', 'x, -y+1, -z+3/2']], [['x, y, z', '-x, -y+1, z', '-x, y, -z+1/2', 'x, -y+1, -z+1/2'], ['x, y, z', '-x, -y+1, z', '-x, y, -z+3/2', 'x, -y+1, -z+3/2']], [['x, y, z', '-x+1, -y, z', '-x+1, y, -z+1/2', 'x, -y, -z+1/2'], ['x, y, z', '-x+1, -y, z', '-x+1, y, -z+3/2', 'x, -y, -z+3/2']], [['x, y, z', '-x, -y, z', '-x, y, -z+1/2', 'x, -y, -z+1/2'], ['x, y, z', '-x, -y, z', '-x, y, -z+3/2', 'x, -y, -z+3/2']], [['x, y, z', '-x+1, -y, z', '-x+1, -y, -z', 'x, y, -z'], ['x, y, z', '-x+1, -y, z', '-x+1, -y, -z+1', 'x, y, -z+1']], [['x, y, z', '-x, -y+1, z', '-x, -y+1, -z', 'x, y, -z'], ['x, y, z', '-x, -y+1, z', '-x, -y+1, -z+1', 'x, y, -z+1']], [['x, y, z', '-x+1, -y+1, z', '-x+1, -y+1, -z', 'x, y, -z'], ['x, y, z', '-x+1, -y+1, z', '-x+1, -y+1, -z+1', 'x, y, -z+1']], [['x, y, z', '-x, -y, z', '-x, -y, -z', 'x, y, -z'], ['x, y, z', '-x, -y, z', '-x, -y, -z+1', 'x, y, -z+1']]]\"\n50,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-x+1/2, -y+3/2, z'], ['x, y, z', '-x+1/2, -y+3/2, z'], ['x, y, z', '-x+3/2, -y+1/2, z'], ['x, y, z', '-x+3/2, -y+1/2, z']], [['x, y, z', '-x+1/2, -y+1/2, z'], ['x, y, z', '-x+1/2, -y+1/2, z'], ['x, y, z', '-x+3/2, -y+3/2, z'], ['x, y, z', '-x+3/2, -y+3/2, z']], [['x, y, z', '-x+1/2, y, -z+1'], ['x, y, z', '-x+1/2, y, -z+1'], ['x, y, z', '-x+3/2, y, -z+1'], ['x, y, z', '-x+3/2, y, -z+1']], [['x, y, z', '-x+1/2, y, -z'], ['x, y, z', '-x+1/2, y, -z'], ['x, y, z', '-x+3/2, y, -z'], ['x, y, z', '-x+3/2, y, -z']], [['x, y, z', 'x, -y+1/2, -z+1'], ['x, y, z', 'x, -y+1/2, -z+1'], ['x, y, z', 'x, -y+3/2, -z+1'], ['x, y, z', 'x, -y+3/2, -z+1']], [['x, y, z', 'x, -y+1/2, -z'], ['x, y, z', 'x, -y+1/2, -z'], ['x, y, z', 'x, -y+3/2, -z'], ['x, y, z', 'x, -y+3/2, -z']], [['x, y, z', '-x, -y, -z+1'], ['x, y, z', '-x+1, -y+1, -z+1'], ['x, y, z', '-x+1, -y, -z+1'], ['x, y, z', '-x, -y+1, -z+1']], [['x, y, z', '-x, -y, -z'], ['x, y, z', '-x+1, -y+1, -z'], ['x, y, z', '-x+1, -y, -z'], ['x, y, z', '-x, -y+1, -z']], [['x, y, z', '-x+1/2, -y+1/2, z', '-x+1/2, y, -z+1', 'x, -y+1/2, -z+1'], ['x, y, z', '-x+3/2, -y+3/2, z', '-x+3/2, y, -z+1', 'x, -y+3/2, -z+1']], [['x, y, z', '-x+3/2, -y+1/2, z', '-x+3/2, y, -z+1', 'x, -y+1/2, -z+1'], ['x, y, z', '-x+1/2, -y+3/2, z', '-x+1/2, y, -z+1', 'x, -y+3/2, -z+1']], [['x, y, z', '-x+3/2, -y+1/2, z', '-x+3/2, y, -z', 'x, -y+1/2, -z'], ['x, y, z', '-x+1/2, -y+3/2, z', '-x+1/2, y, -z', 'x, -y+3/2, -z']], [['x, y, z', '-x+1/2, -y+1/2, z', '-x+1/2, y, -z', 'x, -y+1/2, -z'], ['x, y, z', '-x+3/2, -y+3/2, z', '-x+3/2, y, -z', 'x, -y+3/2, -z']]]\"\n51,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-x+1/2, y, z'], ['x, y, z', '-x+1/2, y, z'], ['x, y, z', '-x+3/2, y, z'], ['x, y, z', '-x+3/2, y, z']], [['x, y, z', 'x, -y+1, z'], ['x, y, z', 'x, -y+1, z'], ['x, y, z', 'x, -y+1, z'], ['x, y, z', 'x, -y+1, z']], [['x, y, z', 'x, -y, z'], ['x, y, z', 'x, -y, z'], ['x, y, z', 'x, -y, z'], ['x, y, z', 'x, -y, z']], [['x, y, z', '-x, y, -z+1'], ['x, y, z', '-x+1, y, -z+1'], ['x, y, z', '-x, y, -z+1'], ['x, y, z', '-x+1, y, -z+1']], [['x, y, z', '-x, y, -z'], ['x, y, z', '-x+1, y, -z'], ['x, y, z', '-x, y, -z'], ['x, y, z', '-x+1, y, -z']], [['x, y, z', '-x+1/2, -y+1, z', 'x, -y+1, z', '-x+1/2, y, z'], ['x, y, z', '-x+3/2, -y+1, z', 'x, -y+1, z', '-x+3/2, y, z']], [['x, y, z', '-x+1/2, -y, z', 'x, -y, z', '-x+1/2, y, z'], ['x, y, z', '-x+3/2, -y, z', 'x, -y, z', '-x+3/2, y, z']], [['x, y, z', '-x, y, -z+1', '-x, -y+1, -z+1', 'x, -y+1, z'], ['x, y, z', '-x+1, y, -z+1', '-x+1, -y+1, -z+1', 'x, -y+1, z']], [['x, y, z', '-x, y, -z+1', '-x, -y, -z+1', 'x, -y, z'], ['x, y, z', '-x+1, y, -z+1', '-x+1, -y, -z+1', 'x, -y, z']], [['x, y, z', '-x, y, -z', '-x, -y+1, -z', 'x, -y+1, z'], ['x, y, z', '-x+1, y, -z', '-x+1, -y+1, -z', 'x, -y+1, z']], [['x, y, z', '-x, y, -z', '-x, -y, -z', 'x, -y, z'], ['x, y, z', '-x+1, y, -z', '-x+1, -y, -z', 'x, -y, z']]]\"\n52,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', 'x, -y+1/2, -z+1/2'], ['x, y, z', 'x, -y+3/2, -z+1/2'], ['x, y, z', 'x, -y+3/2, -z+3/2'], ['x, y, z', 'x, -y+1/2, -z+3/2']], [['x, y, z', '-x+1/2, -y, z'], ['x, y, z', '-x+1/2, -y+1, z'], ['x, y, z', '-x+3/2, -y, z'], ['x, y, z', '-x+3/2, -y+1, z']], [['x, y, z', '-x, -y, -z+1'], ['x, y, z', '-x+1, -y, -z+1'], ['x, y, z', '-x+1, -y+1, -z'], ['x, y, z', '-x, -y+1, -z']], [['x, y, z', '-x, -y, -z'], ['x, y, z', '-x+1, -y, -z'], ['x, y, z', '-x+1, -y+1, -z+1'], ['x, y, z', '-x, -y+1, -z+1']]]\"\n53,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-x, y, z'], ['x, y, z', '-x+1, y, z'], ['x, y, z', '-x+1, y, z'], ['x, y, z', '-x, y, z']], [['x, y, z', '-x+1/2, y, -z+1/2'], ['x, y, z', '-x+1/2, y, -z+3/2'], ['x, y, z', '-x+3/2, y, -z+3/2'], ['x, y, z', '-x+3/2, y, -z+1/2']], [['x, y, z', 'x, -y+1, -z'], ['x, y, z', 'x, -y+1, -z+1'], ['x, y, z', 'x, -y+1, -z'], ['x, y, z', 'x, -y+1, -z+1']], [['x, y, z', 'x, -y, -z'], ['x, y, z', 'x, -y, -z+1'], ['x, y, z', 'x, -y, -z'], ['x, y, z', 'x, -y, -z+1']], [['x, y, z', 'x, -y+1, -z', '-x, -y+1, -z', '-x, y, z'], ['x, y, z', 'x, -y+1, -z+1', '-x+1, -y+1, -z+1', '-x+1, y, z']], [['x, y, z', 'x, -y+1, -z', '-x+1, -y+1, -z', '-x+1, y, z'], ['x, y, z', 'x, -y+1, -z+1', '-x, -y+1, -z+1', '-x, y, z']], [['x, y, z', 'x, -y, -z', '-x+1, -y, -z', '-x+1, y, z'], ['x, y, z', 'x, -y, -z+1', '-x, -y, -z+1', '-x, y, z']], [['x, y, z', 'x, -y, -z', '-x, -y, -z', '-x, y, z'], ['x, y, z', 'x, -y, -z+1', '-x+1, -y, -z+1', '-x+1, y, z']]]\"\n54,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-x+1/2, -y+1, z'], ['x, y, z', '-x+3/2, -y+1, z'], ['x, y, z', '-x+3/2, -y+1, z'], ['x, y, z', '-x+1/2, -y+1, z']], [['x, y, z', '-x+1/2, -y, z'], ['x, y, z', '-x+3/2, -y, z'], ['x, y, z', '-x+3/2, -y, z'], ['x, y, z', '-x+1/2, -y, z']], [['x, y, z', '-x, y, -z+1/2'], ['x, y, z', '-x+1, y, -z+1/2'], ['x, y, z', '-x, y, -z+3/2'], ['x, y, z', '-x+1, y, -z+3/2']], [['x, y, z', '-x, -y+1, -z'], ['x, y, z', '-x+1, -y+1, -z'], ['x, y, z', '-x, -y+1, -z+1'], ['x, y, z', '-x+1, -y+1, -z+1']], [['x, y, z', '-x, -y, -z'], ['x, y, z', '-x+1, -y, -z'], ['x, y, z', '-x, -y, -z+1'], ['x, y, z', '-x+1, -y, -z+1']]]\"\n55,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1']], [['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z']], [['x, y, z', '-x, -y+1, z'], ['x, y, z', '-x+1, -y, z'], ['x, y, z', '-x, -y+1, z'], ['x, y, z', '-x+1, -y, z']], [['x, y, z', '-x, -y, z'], ['x, y, z', '-x+1, -y+1, z'], ['x, y, z', '-x, -y, z'], ['x, y, z', '-x+1, -y+1, z']], [['x, y, z', '-x, -y+1, z', '-x, -y+1, -z+1', 'x, y, -z+1'], ['x, y, z', '-x+1, -y, z', '-x+1, -y, -z+1', 'x, y, -z+1']], [['x, y, z', '-x, -y+1, z', '-x, -y+1, -z', 'x, y, -z'], ['x, y, z', '-x+1, -y, z', '-x+1, -y, -z', 'x, y, -z']], [['x, y, z', '-x, -y, z', '-x, -y, -z+1', 'x, y, -z+1'], ['x, y, z', '-x+1, -y+1, z', '-x+1, -y+1, -z+1', 'x, y, -z+1']], [['x, y, z', '-x, -y, z', '-x, -y, -z', 'x, y, -z'], ['x, y, z', '-x+1, -y+1, z', '-x+1, -y+1, -z', 'x, y, -z']]]\"\n56,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-x+1/2, -y+3/2, z'], ['x, y, z', '-x+3/2, -y+1/2, z'], ['x, y, z', '-x+3/2, -y+1/2, z'], ['x, y, z', '-x+1/2, -y+3/2, z']], [['x, y, z', '-x+1/2, -y+1/2, z'], ['x, y, z', '-x+3/2, -y+3/2, z'], ['x, y, z', '-x+3/2, -y+3/2, z'], ['x, y, z', '-x+1/2, -y+1/2, z']], [['x, y, z', '-x, -y, -z+1'], ['x, y, z', '-x+1, -y+1, -z+1'], ['x, y, z', '-x, -y+1, -z'], ['x, y, z', '-x+1, -y, -z']], [['x, y, z', '-x, -y, -z'], ['x, y, z', '-x+1, -y+1, -z'], ['x, y, z', '-x, -y+1, -z+1'], ['x, y, z', '-x+1, -y, -z+1']]]\"\n57,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', 'x, y, -z+1/2'], ['x, y, z', 'x, y, -z+3/2'], ['x, y, z', 'x, y, -z+1/2'], ['x, y, z', 'x, y, -z+3/2']], [['x, y, z', 'x, -y+1/2, -z'], ['x, y, z', 'x, -y+3/2, -z+1'], ['x, y, z', 'x, -y+3/2, -z'], ['x, y, z', 'x, -y+1/2, -z+1']], [['x, y, z', '-x+1, -y, -z'], ['x, y, z', '-x+1, -y, -z+1'], ['x, y, z', '-x+1, -y+1, -z+1'], ['x, y, z', '-x+1, -y+1, -z']], [['x, y, z', '-x, -y, -z'], ['x, y, z', '-x, -y, -z+1'], ['x, y, z', '-x, -y+1, -z+1'], ['x, y, z', '-x, -y+1, -z']]]\"\n58,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1']], [['x, y, z', '-x, -y+1, z'], ['x, y, z', '-x+1, -y, z'], ['x, y, z', '-x, -y+1, z'], ['x, y, z', '-x+1, -y, z']], [['x, y, z', '-x, -y, z'], ['x, y, z', '-x+1, -y+1, z'], ['x, y, z', '-x, -y, z'], ['x, y, z', '-x+1, -y+1, z']], [['x, y, z', '-x, -y+1, z', '-x, -y+1, -z+1', 'x, y, -z+1'], ['x, y, z', '-x+1, -y, z', '-x+1, -y, -z', 'x, y, -z']], [['x, y, z', '-x, -y+1, z', '-x, -y+1, -z', 'x, y, -z'], ['x, y, z', '-x+1, -y, z', '-x+1, -y, -z+1', 'x, y, -z+1']], [['x, y, z', '-x, -y, z', '-x, -y, -z+1', 'x, y, -z+1'], ['x, y, z', '-x+1, -y+1, z', '-x+1, -y+1, -z', 'x, y, -z']], [['x, y, z', '-x, -y, z', '-x, -y, -z', 'x, y, -z'], ['x, y, z', '-x+1, -y+1, z', '-x+1, -y+1, -z+1', 'x, y, -z+1']]]\"\n59,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', 'x, -y+1/2, z'], ['x, y, z', 'x, -y+1/2, z'], ['x, y, z', 'x, -y+3/2, z'], ['x, y, z', 'x, -y+3/2, z']], [['x, y, z', '-x+1/2, y, z'], ['x, y, z', '-x+1/2, y, z'], ['x, y, z', '-x+3/2, y, z'], ['x, y, z', '-x+3/2, y, z']], [['x, y, z', '-x, -y, -z+1'], ['x, y, z', '-x+1, -y+1, -z+1'], ['x, y, z', '-x, -y+1, -z+1'], ['x, y, z', '-x+1, -y, -z+1']], [['x, y, z', '-x, -y, -z'], ['x, y, z', '-x+1, -y+1, -z'], ['x, y, z', '-x, -y+1, -z'], ['x, y, z', '-x+1, -y, -z']], [['x, y, z', '-x+1/2, -y+3/2, z', 'x, -y+3/2, z', '-x+1/2, y, z'], ['x, y, z', '-x+3/2, -y+1/2, z', 'x, -y+1/2, z', '-x+3/2, y, z']], [['x, y, z', '-x+1/2, -y+1/2, z', 'x, -y+1/2, z', '-x+1/2, y, z'], ['x, y, z', '-x+3/2, -y+3/2, z', 'x, -y+3/2, z', '-x+3/2, y, z']]]\"\n60,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-x, y, -z+1/2'], ['x, y, z', '-x+1, y, -z+3/2'], ['x, y, z', '-x, y, -z+3/2'], ['x, y, z', '-x+1, y, -z+1/2']], [['x, y, z', '-x, -y+1, -z'], ['x, y, z', '-x+1, -y, -z+1'], ['x, y, z', '-x, -y+1, -z+1'], ['x, y, z', '-x+1, -y, -z']], [['x, y, z', '-x, -y, -z'], ['x, y, z', '-x+1, -y+1, -z+1'], ['x, y, z', '-x, -y, -z+1'], ['x, y, z', '-x+1, -y+1, -z']]]\"\n61,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-x, -y, -z+1'], ['x, y, z', '-x+1, -y, -z'], ['x, y, z', '-x, -y+1, -z'], ['x, y, z', '-x+1, -y+1, -z+1']], [['x, y, z', '-x, -y, -z'], ['x, y, z', '-x+1, -y, -z+1'], ['x, y, z', '-x, -y+1, -z+1'], ['x, y, z', '-x+1, -y+1, -z']]]\"\n62,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', 'x, -y+1/2, z'], ['x, y, z', 'x, -y+3/2, z'], ['x, y, z', 'x, -y+3/2, z'], ['x, y, z', 'x, -y+1/2, z']], [['x, y, z', '-x, -y, -z+1'], ['x, y, z', '-x+1, -y, -z'], ['x, y, z', '-x, -y+1, -z+1'], ['x, y, z', '-x+1, -y+1, -z']], [['x, y, z', '-x, -y, -z'], ['x, y, z', '-x+1, -y, -z+1'], ['x, y, z', '-x, -y+1, -z'], ['x, y, z', '-x+1, -y+1, -z+1']]]\"\n63,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', 'x, y, -z+1/2'], ['x, y, z', 'x, y, -z+3/2'], ['x, y, z', 'x, y, -z+1/2'], ['x, y, z', 'x, y, -z+3/2'], ['x, y, z', 'x, y, -z+1/2'], ['x, y, z', 'x, y, -z+3/2'], ['x, y, z', 'x, y, -z+1/2'], ['x, y, z', 'x, y, -z+3/2']], [['x, y, z', '-x, y, z'], ['x, y, z', '-x, y, z'], ['x, y, z', '-x, y, z'], ['x, y, z', '-x, y, z'], ['x, y, z', '-x+1, y, z'], ['x, y, z', '-x+1, y, z'], ['x, y, z', '-x+1, y, z'], ['x, y, z', '-x+1, y, z']], [['x, y, z', 'x, -y, -z'], ['x, y, z', 'x, -y, -z+1'], ['x, y, z', 'x, -y, -z'], ['x, y, z', 'x, -y, -z+1'], ['x, y, z', 'x, -y+1, -z'], ['x, y, z', 'x, -y+1, -z+1'], ['x, y, z', 'x, -y+1, -z'], ['x, y, z', 'x, -y+1, -z+1']], [['x, y, z', '-x+1/2, -y+1/2, -z'], ['x, y, z', '-x+3/2, -y+3/2, -z+1'], ['x, y, z', '-x+3/2, -y+1/2, -z+1'], ['x, y, z', '-x+1/2, -y+3/2, -z'], ['x, y, z', '-x+3/2, -y+3/2, -z'], ['x, y, z', '-x+5/2, -y+5/2, -z+1'], ['x, y, z', '-x+5/2, -y+3/2, -z+1'], ['x, y, z', '-x+3/2, -y+5/2, -z']], [['x, y, z', '-x, y, -z+1/2', 'x, y, -z+1/2', '-x, y, z'], ['x, y, z', '-x, y, -z+3/2', 'x, y, -z+3/2', '-x, y, z'], ['x, y, z', '-x+1, y, -z+1/2', 'x, y, -z+1/2', '-x+1, y, z'], ['x, y, z', '-x+1, y, -z+3/2', 'x, y, -z+3/2', '-x+1, y, z']], [['x, y, z', 'x, -y+1, -z', '-x, -y+1, -z', '-x, y, z'], ['x, y, z', 'x, -y+1, -z+1', '-x, -y+1, -z+1', '-x, y, z'], ['x, y, z', 'x, -y+2, -z', '-x+1, -y+2, -z', '-x+1, y, z'], ['x, y, z', 'x, -y+2, -z+1', '-x+1, -y+2, -z+1', '-x+1, y, z']], [['x, y, z', 'x, -y, -z', '-x, -y, -z', '-x, y, z'], ['x, y, z', 'x, -y, -z+1', '-x, -y, -z+1', '-x, y, z'], ['x, y, z', 'x, -y+1, -z', '-x+1, -y+1, -z', '-x+1, y, z'], ['x, y, z', 'x, -y+1, -z+1', '-x+1, -y+1, -z+1', '-x+1, y, z']]]\"\n64,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-x, y, z'], ['x, y, z', '-x, y, z'], ['x, y, z', '-x, y, z'], ['x, y, z', '-x, y, z'], ['x, y, z', '-x+1, y, z'], ['x, y, z', '-x+1, y, z'], ['x, y, z', '-x+1, y, z'], ['x, y, z', '-x+1, y, z']], [['x, y, z', '-x+1/2, y, -z+1/2'], ['x, y, z', '-x+3/2, y, -z+3/2'], ['x, y, z', '-x+3/2, y, -z+3/2'], ['x, y, z', '-x+1/2, y, -z+1/2'], ['x, y, z', '-x+3/2, y, -z+1/2'], ['x, y, z', '-x+5/2, y, -z+3/2'], ['x, y, z', '-x+5/2, y, -z+3/2'], ['x, y, z', '-x+3/2, y, -z+1/2']], [['x, y, z', 'x, -y, -z'], ['x, y, z', 'x, -y+1, -z+1'], ['x, y, z', 'x, -y, -z'], ['x, y, z', 'x, -y+1, -z+1'], ['x, y, z', 'x, -y+1, -z'], ['x, y, z', 'x, -y+2, -z+1'], ['x, y, z', 'x, -y+1, -z'], ['x, y, z', 'x, -y+2, -z+1']], [['x, y, z', '-x+1/2, -y+1/2, -z'], ['x, y, z', '-x+3/2, -y+1/2, -z+1'], ['x, y, z', '-x+3/2, -y+3/2, -z+1'], ['x, y, z', '-x+1/2, -y+3/2, -z'], ['x, y, z', '-x+3/2, -y+3/2, -z'], ['x, y, z', '-x+5/2, -y+3/2, -z+1'], ['x, y, z', '-x+5/2, -y+5/2, -z+1'], ['x, y, z', '-x+3/2, -y+5/2, -z']], [['x, y, z', 'x, -y, -z', '-x+1, -y, -z', '-x+1, y, z'], ['x, y, z', 'x, -y+1, -z+1', '-x+1, -y+1, -z+1', '-x+1, y, z'], ['x, y, z', 'x, -y+1, -z', '-x+2, -y+1, -z', '-x+2, y, z'], ['x, y, z', 'x, -y+2, -z+1', '-x+2, -y+2, -z+1', '-x+2, y, z']], [['x, y, z', 'x, -y, -z', '-x, -y, -z', '-x, y, z'], ['x, y, z', 'x, -y+1, -z+1', '-x, -y+1, -z+1', '-x, y, z'], ['x, y, z', 'x, -y+1, -z', '-x+1, -y+1, -z', '-x+1, y, z'], ['x, y, z', 'x, -y+2, -z+1', '-x+1, -y+2, -z+1', '-x+1, y, z']]]\"\n65,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1']], [['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z']], [['x, y, z', 'x, -y, z'], ['x, y, z', 'x, -y, z'], ['x, y, z', 'x, -y, z'], ['x, y, z', 'x, -y, z'], ['x, y, z', 'x, -y+1, z'], ['x, y, z', 'x, -y+1, z'], ['x, y, z', 'x, -y+1, z'], ['x, y, z', 'x, -y+1, z']], [['x, y, z', '-x, y, z'], ['x, y, z', '-x, y, z'], ['x, y, z', '-x, y, z'], ['x, y, z', '-x, y, z'], ['x, y, z', '-x+1, y, z'], ['x, y, z', '-x+1, y, z'], ['x, y, z', '-x+1, y, z'], ['x, y, z', '-x+1, y, z']], [['x, y, z', '-x+1/2, -y+1/2, z'], ['x, y, z', '-x+3/2, -y+1/2, z'], ['x, y, z', '-x+3/2, -y+3/2, z'], ['x, y, z', '-x+1/2, -y+3/2, z'], ['x, y, z', '-x+3/2, -y+3/2, z'], ['x, y, z', '-x+5/2, -y+3/2, z'], ['x, y, z', '-x+5/2, -y+5/2, z'], ['x, y, z', '-x+3/2, -y+5/2, z']], [['x, y, z', '-x, -y+1, z', 'x, -y+1, z', '-x, y, z'], ['x, y, z', '-x, -y+1, z', 'x, -y+1, z', '-x, y, z'], ['x, y, z', '-x+1, -y+2, z', 'x, -y+2, z', '-x+1, y, z'], ['x, y, z', '-x+1, -y+2, z', 'x, -y+2, z', '-x+1, y, z']], [['x, y, z', '-x, -y, z', 'x, -y, z', '-x, y, z'], ['x, y, z', '-x, -y, z', 'x, -y, z', '-x, y, z'], ['x, y, z', '-x+1, -y+1, z', 'x, -y+1, z', '-x+1, y, z'], ['x, y, z', '-x+1, -y+1, z', 'x, -y+1, z', '-x+1, y, z']], [['x, y, z', '-x, y, -z+1', 'x, y, -z+1', '-x, y, z'], ['x, y, z', '-x, y, -z+1', 'x, y, -z+1', '-x, y, z'], ['x, y, z', '-x+1, y, -z+1', 'x, y, -z+1', '-x+1, y, z'], ['x, y, z', '-x+1, y, -z+1', 'x, y, -z+1', '-x+1, y, z']], [['x, y, z', '-x, y, -z', 'x, y, -z', '-x, y, z'], ['x, y, z', '-x, y, -z', 'x, y, -z', '-x, y, z'], ['x, y, z', '-x+1, y, -z', 'x, y, -z', '-x+1, y, z'], ['x, y, z', '-x+1, y, -z', 'x, y, -z', '-x+1, y, z']], [['x, y, z', 'x, -y, -z+1', 'x, y, -z+1', 'x, -y, z'], ['x, y, z', 'x, -y, -z+1', 'x, y, -z+1', 'x, -y, z'], ['x, y, z', 'x, -y+1, -z+1', 'x, y, -z+1', 'x, -y+1, z'], ['x, y, z', 'x, -y+1, -z+1', 'x, y, -z+1', 'x, -y+1, z']], [['x, y, z', 'x, -y, -z', 'x, y, -z', 'x, -y, z'], ['x, y, z', 'x, -y, -z', 'x, y, -z', 'x, -y, z'], ['x, y, z', 'x, -y+1, -z', 'x, y, -z', 'x, -y+1, z'], ['x, y, z', 'x, -y+1, -z', 'x, y, -z', 'x, -y+1, z']], [['x, y, z', 'x, y, -z+1', '-x+1/2, -y+1/2, z', '-x+1/2, -y+1/2, -z+1'], ['x, y, z', 'x, y, -z+1', '-x+3/2, -y+1/2, z', '-x+3/2, -y+1/2, -z+1'], ['x, y, z', 'x, y, -z+1', '-x+3/2, -y+3/2, z', '-x+3/2, -y+3/2, -z+1'], ['x, y, z', 'x, y, -z+1', '-x+5/2, -y+3/2, z', '-x+5/2, -y+3/2, -z+1']], [['x, y, z', 'x, y, -z', '-x+1/2, -y+1/2, z', '-x+1/2, -y+1/2, -z'], ['x, y, z', 'x, y, -z', '-x+3/2, -y+1/2, z', '-x+3/2, -y+1/2, -z'], ['x, y, z', 'x, y, -z', '-x+3/2, -y+3/2, z', '-x+3/2, -y+3/2, -z'], ['x, y, z', 'x, y, -z', '-x+5/2, -y+3/2, z', '-x+5/2, -y+3/2, -z']], [['x, y, z', '-x, -y, z', '-x, y, -z+1', 'x, -y, -z+1', '-x, -y, -z+1', 'x, y, -z+1', 'x, -y, z', '-x, y, z'], ['x, y, z', '-x+1, -y+1, z', '-x+1, y, -z+1', 'x, -y+1, -z+1', '-x+1, -y+1, -z+1', 'x, y, -z+1', 'x, -y+1, z', '-x+1, y, z']], [['x, y, z', '-x+1, -y, z', '-x+1, y, -z+1', 'x, -y, -z+1', '-x+1, -y, -z+1', 'x, y, -z+1', 'x, -y, z', '-x+1, y, z'], ['x, y, z', '-x+2, -y+1, z', '-x+2, y, -z+1', 'x, -y+1, -z+1', '-x+2, -y+1, -z+1', 'x, y, -z+1', 'x, -y+1, z', '-x+2, y, z']], [['x, y, z', '-x+1, -y, z', '-x+1, y, -z', 'x, -y, -z', '-x+1, -y, -z', 'x, y, -z', 'x, -y, z', '-x+1, y, z'], ['x, y, z', '-x+2, -y+1, z', '-x+2, y, -z', 'x, -y+1, -z', '-x+2, -y+1, -z', 'x, y, -z', 'x, -y+1, z', '-x+2, y, z']], [['x, y, z', '-x, -y, z', '-x, y, -z', 'x, -y, -z', '-x, -y, -z', 'x, y, -z', 'x, -y, z', '-x, y, z'], ['x, y, z', '-x+1, -y+1, z', '-x+1, y, -z', 'x, -y+1, -z', '-x+1, -y+1, -z', 'x, y, -z', 'x, -y+1, z', '-x+1, y, z']]]\"\n66,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1']], [['x, y, z', '-x+1/2, -y+1/2, z'], ['x, y, z', '-x+3/2, -y+1/2, z'], ['x, y, z', '-x+3/2, -y+3/2, z'], ['x, y, z', '-x+1/2, -y+3/2, z'], ['x, y, z', '-x+3/2, -y+3/2, z'], ['x, y, z', '-x+5/2, -y+3/2, z'], ['x, y, z', '-x+5/2, -y+5/2, z'], ['x, y, z', '-x+3/2, -y+5/2, z']], [['x, y, z', '-x, -y+1, z'], ['x, y, z', '-x, -y+1, z'], ['x, y, z', '-x, -y+1, z'], ['x, y, z', '-x, -y+1, z'], ['x, y, z', '-x+1, -y+2, z'], ['x, y, z', '-x+1, -y+2, z'], ['x, y, z', '-x+1, -y+2, z'], ['x, y, z', '-x+1, -y+2, z']], [['x, y, z', '-x, -y, z'], ['x, y, z', '-x, -y, z'], ['x, y, z', '-x, -y, z'], ['x, y, z', '-x, -y, z'], ['x, y, z', '-x+1, -y+1, z'], ['x, y, z', '-x+1, -y+1, z'], ['x, y, z', '-x+1, -y+1, z'], ['x, y, z', '-x+1, -y+1, z']], [['x, y, z', '-x, y, -z+1/2'], ['x, y, z', '-x, y, -z+1/2'], ['x, y, z', '-x, y, -z+3/2'], ['x, y, z', '-x, y, -z+3/2'], ['x, y, z', '-x+1, y, -z+1/2'], ['x, y, z', '-x+1, y, -z+1/2'], ['x, y, z', '-x+1, y, -z+3/2'], ['x, y, z', '-x+1, y, -z+3/2']], [['x, y, z', 'x, -y, -z+1/2'], ['x, y, z', 'x, -y, -z+1/2'], ['x, y, z', 'x, -y, -z+3/2'], ['x, y, z', 'x, -y, -z+3/2'], ['x, y, z', 'x, -y+1, -z+1/2'], ['x, y, z', 'x, -y+1, -z+1/2'], ['x, y, z', 'x, -y+1, -z+3/2'], ['x, y, z', 'x, -y+1, -z+3/2']], [['x, y, z', 'x, y, -z', '-x+1/2, -y+3/2, z', '-x+1/2, -y+3/2, -z'], ['x, y, z', 'x, y, -z+1', '-x+3/2, -y+3/2, z', '-x+3/2, -y+3/2, -z+1'], ['x, y, z', 'x, y, -z', '-x+3/2, -y+5/2, z', '-x+3/2, -y+5/2, -z'], ['x, y, z', 'x, y, -z+1', '-x+5/2, -y+5/2, z', '-x+5/2, -y+5/2, -z+1']], [['x, y, z', 'x, y, -z', '-x+1/2, -y+1/2, z', '-x+1/2, -y+1/2, -z'], ['x, y, z', 'x, y, -z+1', '-x+3/2, -y+1/2, z', '-x+3/2, -y+1/2, -z+1'], ['x, y, z', 'x, y, -z', '-x+3/2, -y+3/2, z', '-x+3/2, -y+3/2, -z'], ['x, y, z', 'x, y, -z+1', '-x+5/2, -y+3/2, z', '-x+5/2, -y+3/2, -z+1']], [['x, y, z', '-x, -y+1, z', '-x, -y+1, -z', 'x, y, -z'], ['x, y, z', '-x, -y+1, z', '-x, -y+1, -z+1', 'x, y, -z+1'], ['x, y, z', '-x+1, -y+2, z', '-x+1, -y+2, -z', 'x, y, -z'], ['x, y, z', '-x+1, -y+2, z', '-x+1, -y+2, -z+1', 'x, y, -z+1']], [['x, y, z', '-x, -y, z', '-x, -y, -z', 'x, y, -z'], ['x, y, z', '-x, -y, z', '-x, -y, -z+1', 'x, y, -z+1'], ['x, y, z', '-x+1, -y+1, z', '-x+1, -y+1, -z', 'x, y, -z'], ['x, y, z', '-x+1, -y+1, z', '-x+1, -y+1, -z+1', 'x, y, -z+1']], [['x, y, z', '-x, -y+1, z', '-x, y, -z+1/2', 'x, -y+1, -z+1/2'], ['x, y, z', '-x, -y+1, z', '-x, y, -z+3/2', 'x, -y+1, -z+3/2'], ['x, y, z', '-x+1, -y+2, z', '-x+1, y, -z+1/2', 'x, -y+2, -z+1/2'], ['x, y, z', '-x+1, -y+2, z', '-x+1, y, -z+3/2', 'x, -y+2, -z+3/2']], [['x, y, z', '-x, -y, z', '-x, y, -z+1/2', 'x, -y, -z+1/2'], ['x, y, z', '-x, -y, z', '-x, y, -z+3/2', 'x, -y, -z+3/2'], ['x, y, z', '-x+1, -y+1, z', '-x+1, y, -z+1/2', 'x, -y+1, -z+1/2'], ['x, y, z', '-x+1, -y+1, z', '-x+1, y, -z+3/2', 'x, -y+1, -z+3/2']]]\"\n67,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', 'x, -y+1/2, z'], ['x, y, z', 'x, -y+1/2, z'], ['x, y, z', 'x, -y+3/2, z'], ['x, y, z', 'x, -y+3/2, z'], ['x, y, z', 'x, -y+3/2, z'], ['x, y, z', 'x, -y+3/2, z'], ['x, y, z', 'x, -y+5/2, z'], ['x, y, z', 'x, -y+5/2, z']], [['x, y, z', '-x, y, z'], ['x, y, z', '-x, y, z'], ['x, y, z', '-x, y, z'], ['x, y, z', '-x, y, z'], ['x, y, z', '-x+1, y, z'], ['x, y, z', '-x+1, y, z'], ['x, y, z', '-x+1, y, z'], ['x, y, z', '-x+1, y, z']], [['x, y, z', '-x+1/2, -y, z'], ['x, y, z', '-x+3/2, -y+1, z'], ['x, y, z', '-x+3/2, -y, z'], ['x, y, z', '-x+1/2, -y+1, z'], ['x, y, z', '-x+3/2, -y+1, z'], ['x, y, z', '-x+5/2, -y+2, z'], ['x, y, z', '-x+5/2, -y+1, z'], ['x, y, z', '-x+3/2, -y+2, z']], [['x, y, z', '-x+1/2, y, -z+1'], ['x, y, z', '-x+3/2, y, -z+1'], ['x, y, z', '-x+3/2, y, -z+1'], ['x, y, z', '-x+1/2, y, -z+1'], ['x, y, z', '-x+3/2, y, -z+1'], ['x, y, z', '-x+5/2, y, -z+1'], ['x, y, z', '-x+5/2, y, -z+1'], ['x, y, z', '-x+3/2, y, -z+1']], [['x, y, z', '-x+1/2, y, -z'], ['x, y, z', '-x+3/2, y, -z'], ['x, y, z', '-x+3/2, y, -z'], ['x, y, z', '-x+1/2, y, -z'], ['x, y, z', '-x+3/2, y, -z'], ['x, y, z', '-x+5/2, y, -z'], ['x, y, z', '-x+5/2, y, -z'], ['x, y, z', '-x+3/2, y, -z']], [['x, y, z', 'x, -y, -z+1'], ['x, y, z', 'x, -y+1, -z+1'], ['x, y, z', 'x, -y, -z+1'], ['x, y, z', 'x, -y+1, -z+1'], ['x, y, z', 'x, -y+1, -z+1'], ['x, y, z', 'x, -y+2, -z+1'], ['x, y, z', 'x, -y+1, -z+1'], ['x, y, z', 'x, -y+2, -z+1']], [['x, y, z', 'x, -y, -z'], ['x, y, z', 'x, -y+1, -z'], ['x, y, z', 'x, -y, -z'], ['x, y, z', 'x, -y+1, -z'], ['x, y, z', 'x, -y+1, -z'], ['x, y, z', 'x, -y+2, -z'], ['x, y, z', 'x, -y+1, -z'], ['x, y, z', 'x, -y+2, -z']], [['x, y, z', '-x, -y+1/2, z', 'x, -y+1/2, z', '-x, y, z'], ['x, y, z', '-x, -y+3/2, z', 'x, -y+3/2, z', '-x, y, z'], ['x, y, z', '-x+1, -y+3/2, z', 'x, -y+3/2, z', '-x+1, y, z'], ['x, y, z', '-x+1, -y+5/2, z', 'x, -y+5/2, z', '-x+1, y, z']], [['x, y, z', 'x, -y+1/2, z', '-x+1/2, y, -z+1', '-x+1/2, -y+1/2, -z+1'], ['x, y, z', 'x, -y+1/2, z', '-x+3/2, y, -z+1', '-x+3/2, -y+1/2, -z+1'], ['x, y, z', 'x, -y+3/2, z', '-x+3/2, y, -z+1', '-x+3/2, -y+3/2, -z+1'], ['x, y, z', 'x, -y+3/2, z', '-x+5/2, y, -z+1', '-x+5/2, -y+3/2, -z+1']], [['x, y, z', 'x, -y+1/2, z', '-x+1/2, y, -z', '-x+1/2, -y+1/2, -z'], ['x, y, z', 'x, -y+1/2, z', '-x+3/2, y, -z', '-x+3/2, -y+1/2, -z'], ['x, y, z', 'x, -y+3/2, z', '-x+3/2, y, -z', '-x+3/2, -y+3/2, -z'], ['x, y, z', 'x, -y+3/2, z', '-x+5/2, y, -z', '-x+5/2, -y+3/2, -z']], [['x, y, z', 'x, -y, -z+1', '-x, -y, -z+1', '-x, y, z'], ['x, y, z', 'x, -y+1, -z+1', '-x, -y+1, -z+1', '-x, y, z'], ['x, y, z', 'x, -y+1, -z+1', '-x+1, -y+1, -z+1', '-x+1, y, z'], ['x, y, z', 'x, -y+2, -z+1', '-x+1, -y+2, -z+1', '-x+1, y, z']], [['x, y, z', 'x, -y, -z', '-x, -y, -z', '-x, y, z'], ['x, y, z', 'x, -y+1, -z', '-x, -y+1, -z', '-x, y, z'], ['x, y, z', 'x, -y+1, -z', '-x+1, -y+1, -z', '-x+1, y, z'], ['x, y, z', 'x, -y+2, -z', '-x+1, -y+2, -z', '-x+1, y, z']], [['x, y, z', 'x, -y, -z+1', '-x+1/2, -y, z', '-x+1/2, y, -z+1'], ['x, y, z', 'x, -y, -z+1', '-x+3/2, -y, z', '-x+3/2, y, -z+1'], ['x, y, z', 'x, -y+1, -z+1', '-x+3/2, -y+1, z', '-x+3/2, y, -z+1'], ['x, y, z', 'x, -y+1, -z+1', '-x+5/2, -y+1, z', '-x+5/2, y, -z+1']], [['x, y, z', 'x, -y, -z', '-x+1/2, -y, z', '-x+1/2, y, -z'], ['x, y, z', 'x, -y, -z', '-x+3/2, -y, z', '-x+3/2, y, -z'], ['x, y, z', 'x, -y+1, -z', '-x+3/2, -y+1, z', '-x+3/2, y, -z'], ['x, y, z', 'x, -y+1, -z', '-x+5/2, -y+1, z', '-x+5/2, y, -z']]]\"\n68,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-x+1/2, -y, z'], ['x, y, z', '-x+3/2, -y, z'], ['x, y, z', '-x+3/2, -y, z'], ['x, y, z', '-x+1/2, -y, z'], ['x, y, z', '-x+3/2, -y+1, z'], ['x, y, z', '-x+5/2, -y+1, z'], ['x, y, z', '-x+5/2, -y+1, z'], ['x, y, z', '-x+3/2, -y+1, z']], [['x, y, z', '-x, -y+1/2, z'], ['x, y, z', '-x, -y+1/2, z'], ['x, y, z', '-x, -y+3/2, z'], ['x, y, z', '-x, -y+3/2, z'], ['x, y, z', '-x+1, -y+3/2, z'], ['x, y, z', '-x+1, -y+3/2, z'], ['x, y, z', '-x+1, -y+5/2, z'], ['x, y, z', '-x+1, -y+5/2, z']], [['x, y, z', '-x, y, -z+1/2'], ['x, y, z', '-x+1, y, -z+1/2'], ['x, y, z', '-x, y, -z+3/2'], ['x, y, z', '-x+1, y, -z+3/2'], ['x, y, z', '-x+1, y, -z+1/2'], ['x, y, z', '-x+2, y, -z+1/2'], ['x, y, z', '-x+1, y, -z+3/2'], ['x, y, z', '-x+2, y, -z+3/2']], [['x, y, z', 'x, -y+1/2, -z+1/2'], ['x, y, z', 'x, -y+3/2, -z+1/2'], ['x, y, z', 'x, -y+3/2, -z+3/2'], ['x, y, z', 'x, -y+1/2, -z+3/2'], ['x, y, z', 'x, -y+3/2, -z+1/2'], ['x, y, z', 'x, -y+5/2, -z+1/2'], ['x, y, z', 'x, -y+5/2, -z+3/2'], ['x, y, z', 'x, -y+3/2, -z+3/2']], [['x, y, z', '-x, -y, -z'], ['x, y, z', '-x+1, -y, -z'], ['x, y, z', '-x, -y, -z+1'], ['x, y, z', '-x+1, -y, -z+1'], ['x, y, z', '-x+1, -y+1, -z'], ['x, y, z', '-x+2, -y+1, -z'], ['x, y, z', '-x+1, -y+1, -z+1'], ['x, y, z', '-x+2, -y+1, -z+1']], [['x, y, z', '-x+1/2, -y+3/2, -z'], ['x, y, z', '-x+1/2, -y+1/2, -z'], ['x, y, z', '-x+3/2, -y+3/2, -z+1'], ['x, y, z', '-x+3/2, -y+1/2, -z+1'], ['x, y, z', '-x+3/2, -y+5/2, -z'], ['x, y, z', '-x+3/2, -y+3/2, -z'], ['x, y, z', '-x+5/2, -y+5/2, -z+1'], ['x, y, z', '-x+5/2, -y+3/2, -z+1']], [['x, y, z', '-x, y, -z+3/2', '-x, -y+1/2, z', 'x, -y+1/2, -z+3/2'], ['x, y, z', '-x, y, -z+1/2', '-x, -y+3/2, z', 'x, -y+3/2, -z+1/2'], ['x, y, z', '-x+1, y, -z+3/2', '-x+1, -y+3/2, z', 'x, -y+3/2, -z+3/2'], ['x, y, z', '-x+1, y, -z+1/2', '-x+1, -y+5/2, z', 'x, -y+5/2, -z+1/2']], [['x, y, z', '-x, y, -z+1/2', '-x, -y+1/2, z', 'x, -y+1/2, -z+1/2'], ['x, y, z', '-x, y, -z+3/2', '-x, -y+3/2, z', 'x, -y+3/2, -z+3/2'], ['x, y, z', '-x+1, y, -z+1/2', '-x+1, -y+3/2, z', 'x, -y+3/2, -z+1/2'], ['x, y, z', '-x+1, y, -z+3/2', '-x+1, -y+5/2, z', 'x, -y+5/2, -z+3/2']]]\"\n69,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z']], [['x, y, z', 'x, -y, z'], ['x, y, z', 'x, -y, z'], ['x, y, z', 'x, -y, z'], ['x, y, z', 'x, -y, z'], ['x, y, z', 'x, -y+1, z'], ['x, y, z', 'x, -y+1, z'], ['x, y, z', 'x, -y+1, z'], ['x, y, z', 'x, -y+1, z'], ['x, y, z', 'x, -y, z'], ['x, y, z', 'x, -y, z'], ['x, y, z', 'x, -y, z'], ['x, y, z', 'x, -y, z'], ['x, y, z', 'x, -y+1, z'], ['x, y, z', 'x, -y+1, z'], ['x, y, z', 'x, -y+1, z'], ['x, y, z', 'x, -y+1, z']], [['x, y, z', '-x, y, z'], ['x, y, z', '-x, y, z'], ['x, y, z', '-x, y, z'], ['x, y, z', '-x, y, z'], ['x, y, z', '-x, y, z'], ['x, y, z', '-x, y, z'], ['x, y, z', '-x, y, z'], ['x, y, z', '-x, y, z'], ['x, y, z', '-x+1, y, z'], ['x, y, z', '-x+1, y, z'], ['x, y, z', '-x+1, y, z'], ['x, y, z', '-x+1, y, z'], ['x, y, z', '-x+1, y, z'], ['x, y, z', '-x+1, y, z'], ['x, y, z', '-x+1, y, z'], ['x, y, z', '-x+1, y, z']], [['x, y, z', 'x, -y+1/2, -z+1/2'], ['x, y, z', 'x, -y+3/2, -z+1/2'], ['x, y, z', 'x, -y+3/2, -z+3/2'], ['x, y, z', 'x, -y+1/2, -z+3/2'], ['x, y, z', 'x, -y+3/2, -z+3/2'], ['x, y, z', 'x, -y+5/2, -z+3/2'], ['x, y, z', 'x, -y+5/2, -z+5/2'], ['x, y, z', 'x, -y+3/2, -z+5/2'], ['x, y, z', 'x, -y+1/2, -z+3/2'], ['x, y, z', 'x, -y+3/2, -z+3/2'], ['x, y, z', 'x, -y+3/2, -z+5/2'], ['x, y, z', 'x, -y+1/2, -z+5/2'], ['x, y, z', 'x, -y+3/2, -z+1/2'], ['x, y, z', 'x, -y+5/2, -z+1/2'], ['x, y, z', 'x, -y+5/2, -z+3/2'], ['x, y, z', 'x, -y+3/2, -z+3/2']], [['x, y, z', '-x+1/2, y, -z+1/2'], ['x, y, z', '-x+3/2, y, -z+1/2'], ['x, y, z', '-x+3/2, y, -z+3/2'], ['x, y, z', '-x+1/2, y, -z+3/2'], ['x, y, z', '-x+1/2, y, -z+3/2'], ['x, y, z', '-x+3/2, y, -z+3/2'], ['x, y, z', '-x+3/2, y, -z+5/2'], ['x, y, z', '-x+1/2, y, -z+5/2'], ['x, y, z', '-x+3/2, y, -z+3/2'], ['x, y, z', '-x+5/2, y, -z+3/2'], ['x, y, z', '-x+5/2, y, -z+5/2'], ['x, y, z', '-x+3/2, y, -z+5/2'], ['x, y, z', '-x+3/2, y, -z+1/2'], ['x, y, z', '-x+5/2, y, -z+1/2'], ['x, y, z', '-x+5/2, y, -z+3/2'], ['x, y, z', '-x+3/2, y, -z+3/2']], [['x, y, z', '-x+1/2, -y+1/2, z'], ['x, y, z', '-x+3/2, -y+1/2, z'], ['x, y, z', '-x+3/2, -y+3/2, z'], ['x, y, z', '-x+1/2, -y+3/2, z'], ['x, y, z', '-x+1/2, -y+3/2, z'], ['x, y, z', '-x+3/2, -y+3/2, z'], ['x, y, z', '-x+3/2, -y+5/2, z'], ['x, y, z', '-x+1/2, -y+5/2, z'], ['x, y, z', '-x+3/2, -y+1/2, z'], ['x, y, z', '-x+5/2, -y+1/2, z'], ['x, y, z', '-x+5/2, -y+3/2, z'], ['x, y, z', '-x+3/2, -y+3/2, z'], ['x, y, z', '-x+3/2, -y+3/2, z'], ['x, y, z', '-x+5/2, -y+3/2, z'], ['x, y, z', '-x+5/2, -y+5/2, z'], ['x, y, z', '-x+3/2, -y+5/2, z']], [['x, y, z', '-x, -y, z', 'x, -y, z', '-x, y, z'], ['x, y, z', '-x, -y, z', 'x, -y, z', '-x, y, z'], ['x, y, z', '-x, -y+1, z', 'x, -y+1, z', '-x, y, z'], ['x, y, z', '-x, -y+1, z', 'x, -y+1, z', '-x, y, z'], ['x, y, z', '-x+1, -y, z', 'x, -y, z', '-x+1, y, z'], ['x, y, z', '-x+1, -y, z', 'x, -y, z', '-x+1, y, z'], ['x, y, z', '-x+1, -y+1, z', 'x, -y+1, z', '-x+1, y, z'], ['x, y, z', '-x+1, -y+1, z', 'x, -y+1, z', '-x+1, y, z']], [['x, y, z', '-x, y, -z', 'x, y, -z', '-x, y, z'], ['x, y, z', '-x, y, -z', 'x, y, -z', '-x, y, z'], ['x, y, z', '-x, y, -z+1', 'x, y, -z+1', '-x, y, z'], ['x, y, z', '-x, y, -z+1', 'x, y, -z+1', '-x, y, z'], ['x, y, z', '-x+1, y, -z+1', 'x, y, -z+1', '-x+1, y, z'], ['x, y, z', '-x+1, y, -z+1', 'x, y, -z+1', '-x+1, y, z'], ['x, y, z', '-x+1, y, -z', 'x, y, -z', '-x+1, y, z'], ['x, y, z', '-x+1, y, -z', 'x, y, -z', '-x+1, y, z']], [['x, y, z', 'x, -y, -z', 'x, y, -z', 'x, -y, z'], ['x, y, z', 'x, -y, -z', 'x, y, -z', 'x, -y, z'], ['x, y, z', 'x, -y+1, -z+1', 'x, y, -z+1', 'x, -y+1, z'], ['x, y, z', 'x, -y+1, -z+1', 'x, y, -z+1', 'x, -y+1, z'], ['x, y, z', 'x, -y, -z+1', 'x, y, -z+1', 'x, -y, z'], ['x, y, z', 'x, -y, -z+1', 'x, y, -z+1', 'x, -y, z'], ['x, y, z', 'x, -y+1, -z', 'x, y, -z', 'x, -y+1, z'], ['x, y, z', 'x, -y+1, -z', 'x, y, -z', 'x, -y+1, z']], [['x, y, z', 'x, -y+1/2, -z+1/2', '-x+1/2, y, -z+1/2', '-x+1/2, -y+1/2, z'], ['x, y, z', 'x, -y+3/2, -z+3/2', '-x+3/2, y, -z+3/2', '-x+3/2, -y+3/2, z'], ['x, y, z', 'x, -y+3/2, -z+3/2', '-x+1/2, y, -z+3/2', '-x+1/2, -y+3/2, z'], ['x, y, z', 'x, -y+5/2, -z+5/2', '-x+3/2, y, -z+5/2', '-x+3/2, -y+5/2, z'], ['x, y, z', 'x, -y+1/2, -z+3/2', '-x+3/2, y, -z+3/2', '-x+3/2, -y+1/2, z'], ['x, y, z', 'x, -y+3/2, -z+5/2', '-x+5/2, y, -z+5/2', '-x+5/2, -y+3/2, z'], ['x, y, z', 'x, -y+3/2, -z+1/2', '-x+3/2, y, -z+1/2', '-x+3/2, -y+3/2, z'], ['x, y, z', 'x, -y+5/2, -z+3/2', '-x+5/2, y, -z+3/2', '-x+5/2, -y+5/2, z']], [['x, y, z', 'x, y, -z', '-x+1/2, -y+1/2, z', '-x+1/2, -y+1/2, -z'], ['x, y, z', 'x, y, -z', '-x+3/2, -y+1/2, z', '-x+3/2, -y+1/2, -z'], ['x, y, z', 'x, y, -z+1', '-x+1/2, -y+3/2, z', '-x+1/2, -y+3/2, -z+1'], ['x, y, z', 'x, y, -z+1', '-x+3/2, -y+3/2, z', '-x+3/2, -y+3/2, -z+1'], ['x, y, z', 'x, y, -z+1', '-x+3/2, -y+1/2, z', '-x+3/2, -y+1/2, -z+1'], ['x, y, z', 'x, y, -z+1', '-x+5/2, -y+1/2, z', '-x+5/2, -y+1/2, -z+1'], ['x, y, z', 'x, y, -z', '-x+3/2, -y+3/2, z', '-x+3/2, -y+3/2, -z'], ['x, y, z', 'x, y, -z', '-x+5/2, -y+3/2, z', '-x+5/2, -y+3/2, -z']], [['x, y, z', 'x, -y, z', '-x+1/2, y, -z+1/2', '-x+1/2, -y, -z+1/2'], ['x, y, z', 'x, -y, z', '-x+3/2, y, -z+1/2', '-x+3/2, -y, -z+1/2'], ['x, y, z', 'x, -y+1, z', '-x+1/2, y, -z+3/2', '-x+1/2, -y+1, -z+3/2'], ['x, y, z', 'x, -y+1, z', '-x+3/2, y, -z+3/2', '-x+3/2, -y+1, -z+3/2'], ['x, y, z', 'x, -y, z', '-x+3/2, y, -z+3/2', '-x+3/2, -y, -z+3/2'], ['x, y, z', 'x, -y, z', '-x+5/2, y, -z+3/2', '-x+5/2, -y, -z+3/2'], ['x, y, z', 'x, -y+1, z', '-x+3/2, y, -z+1/2', '-x+3/2, -y+1, -z+1/2'], ['x, y, z', 'x, -y+1, z', '-x+5/2, y, -z+1/2', '-x+5/2, -y+1, -z+1/2']], [['x, y, z', '-x, y, z', 'x, -y+1/2, -z+1/2', '-x, -y+1/2, -z+1/2'], ['x, y, z', '-x, y, z', 'x, -y+3/2, -z+1/2', '-x, -y+3/2, -z+1/2'], ['x, y, z', '-x, y, z', 'x, -y+3/2, -z+3/2', '-x, -y+3/2, -z+3/2'], ['x, y, z', '-x, y, z', 'x, -y+5/2, -z+3/2', '-x, -y+5/2, -z+3/2'], ['x, y, z', '-x+1, y, z', 'x, -y+1/2, -z+3/2', '-x+1, -y+1/2, -z+3/2'], ['x, y, z', '-x+1, y, z', 'x, -y+3/2, -z+3/2', '-x+1, -y+3/2, -z+3/2'], ['x, y, z', '-x+1, y, z', 'x, -y+3/2, -z+1/2', '-x+1, -y+3/2, -z+1/2'], ['x, y, z', '-x+1, y, z', 'x, -y+5/2, -z+1/2', '-x+1, -y+5/2, -z+1/2']], [['x, y, z', '-x, -y, z', '-x, y, -z+1', 'x, -y, -z+1', '-x, -y, -z+1', 'x, y, -z+1', 'x, -y, z', '-x, y, z'], ['x, y, z', '-x, -y+1, z', '-x, y, -z+2', 'x, -y+1, -z+2', '-x, -y+1, -z+2', 'x, y, -z+2', 'x, -y+1, z', '-x, y, z'], ['x, y, z', '-x+1, -y, z', '-x+1, y, -z+2', 'x, -y, -z+2', '-x+1, -y, -z+2', 'x, y, -z+2', 'x, -y, z', '-x+1, y, z'], ['x, y, z', '-x+1, -y+1, z', '-x+1, y, -z+1', 'x, -y+1, -z+1', '-x+1, -y+1, -z+1', 'x, y, -z+1', 'x, -y+1, z', '-x+1, y, z']], [['x, y, z', '-x, -y, z', '-x, y, -z', 'x, -y, -z', '-x, -y, -z', 'x, y, -z', 'x, -y, z', '-x, y, z'], ['x, y, z', '-x, -y+1, z', '-x, y, -z+1', 'x, -y+1, -z+1', '-x, -y+1, -z+1', 'x, y, -z+1', 'x, -y+1, z', '-x, y, z'], ['x, y, z', '-x+1, -y, z', '-x+1, y, -z+1', 'x, -y, -z+1', '-x+1, -y, -z+1', 'x, y, -z+1', 'x, -y, z', '-x+1, y, z'], ['x, y, z', '-x+1, -y+1, z', '-x+1, y, -z', 'x, -y+1, -z', '-x+1, -y+1, -z', 'x, y, -z', 'x, -y+1, z', '-x+1, y, z']]]\"\n70,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-x+1/4, -y+1/4, z'], ['x, y, z', '-x+5/4, -y+1/4, z'], ['x, y, z', '-x+7/4, -y+7/4, z'], ['x, y, z', '-x+3/4, -y+7/4, z'], ['x, y, z', '-x+1/4, -y+5/4, z'], ['x, y, z', '-x+5/4, -y+5/4, z'], ['x, y, z', '-x+7/4, -y+11/4, z'], ['x, y, z', '-x+3/4, -y+11/4, z'], ['x, y, z', '-x+5/4, -y+1/4, z'], ['x, y, z', '-x+9/4, -y+1/4, z'], ['x, y, z', '-x+11/4, -y+7/4, z'], ['x, y, z', '-x+7/4, -y+7/4, z'], ['x, y, z', '-x+5/4, -y+5/4, z'], ['x, y, z', '-x+9/4, -y+5/4, z'], ['x, y, z', '-x+11/4, -y+11/4, z'], ['x, y, z', '-x+7/4, -y+11/4, z']], [['x, y, z', '-x+1/4, y, -z+1/4'], ['x, y, z', '-x+5/4, y, -z+1/4'], ['x, y, z', '-x+7/4, y, -z+7/4'], ['x, y, z', '-x+3/4, y, -z+7/4'], ['x, y, z', '-x+1/4, y, -z+5/4'], ['x, y, z', '-x+5/4, y, -z+5/4'], ['x, y, z', '-x+7/4, y, -z+11/4'], ['x, y, z', '-x+3/4, y, -z+11/4'], ['x, y, z', '-x+5/4, y, -z+5/4'], ['x, y, z', '-x+9/4, y, -z+5/4'], ['x, y, z', '-x+11/4, y, -z+11/4'], ['x, y, z', '-x+7/4, y, -z+11/4'], ['x, y, z', '-x+5/4, y, -z+1/4'], ['x, y, z', '-x+9/4, y, -z+1/4'], ['x, y, z', '-x+11/4, y, -z+7/4'], ['x, y, z', '-x+7/4, y, -z+7/4']], [['x, y, z', 'x, -y+1/4, -z+1/4'], ['x, y, z', 'x, -y+5/4, -z+1/4'], ['x, y, z', 'x, -y+7/4, -z+7/4'], ['x, y, z', 'x, -y+3/4, -z+7/4'], ['x, y, z', 'x, -y+5/4, -z+5/4'], ['x, y, z', 'x, -y+9/4, -z+5/4'], ['x, y, z', 'x, -y+11/4, -z+11/4'], ['x, y, z', 'x, -y+7/4, -z+11/4'], ['x, y, z', 'x, -y+1/4, -z+5/4'], ['x, y, z', 'x, -y+5/4, -z+5/4'], ['x, y, z', 'x, -y+7/4, -z+11/4'], ['x, y, z', 'x, -y+3/4, -z+11/4'], ['x, y, z', 'x, -y+5/4, -z+1/4'], ['x, y, z', 'x, -y+9/4, -z+1/4'], ['x, y, z', 'x, -y+11/4, -z+7/4'], ['x, y, z', 'x, -y+7/4, -z+7/4']], [['x, y, z', '-x+1, -y+1, -z+1'], ['x, y, z', '-x+1/2, -y+1/2, -z+1'], ['x, y, z', '-x+1/2, -y+1, -z+1/2'], ['x, y, z', '-x+1, -y+1/2, -z+1/2'], ['x, y, z', '-x+1, -y+2, -z+2'], ['x, y, z', '-x+1/2, -y+3/2, -z+2'], ['x, y, z', '-x+1/2, -y+2, -z+3/2'], ['x, y, z', '-x+1, -y+3/2, -z+3/2'], ['x, y, z', '-x+2, -y+1, -z+2'], ['x, y, z', '-x+3/2, -y+1/2, -z+2'], ['x, y, z', '-x+3/2, -y+1, -z+3/2'], ['x, y, z', '-x+2, -y+1/2, -z+3/2'], ['x, y, z', '-x+2, -y+2, -z+1'], ['x, y, z', '-x+3/2, -y+3/2, -z+1'], ['x, y, z', '-x+3/2, -y+2, -z+1/2'], ['x, y, z', '-x+2, -y+3/2, -z+1/2']], [['x, y, z', '-x, -y, -z'], ['x, y, z', '-x+3/2, -y+3/2, -z'], ['x, y, z', '-x+3/2, -y, -z+3/2'], ['x, y, z', '-x, -y+3/2, -z+3/2'], ['x, y, z', '-x, -y+1, -z+1'], ['x, y, z', '-x+3/2, -y+5/2, -z+1'], ['x, y, z', '-x+3/2, -y+1, -z+5/2'], ['x, y, z', '-x, -y+5/2, -z+5/2'], ['x, y, z', '-x+1, -y, -z+1'], ['x, y, z', '-x+5/2, -y+3/2, -z+1'], ['x, y, z', '-x+5/2, -y, -z+5/2'], ['x, y, z', '-x+1, -y+3/2, -z+5/2'], ['x, y, z', '-x+1, -y+1, -z'], ['x, y, z', '-x+5/2, -y+5/2, -z'], ['x, y, z', '-x+5/2, -y+1, -z+3/2'], ['x, y, z', '-x+1, -y+5/2, -z+3/2']], [['x, y, z', 'x, -y+1/4, -z+5/4', '-x+1/4, y, -z+5/4', '-x+1/4, -y+1/4, z'], ['x, y, z', '-x+7/4, -y+7/4, z', '-x+7/4, y, -z+3/4', 'x, -y+7/4, -z+3/4'], ['x, y, z', 'x, -y+5/4, -z+9/4', '-x+1/4, y, -z+9/4', '-x+1/4, -y+5/4, z'], ['x, y, z', '-x+7/4, -y+11/4, z', '-x+7/4, y, -z+7/4', 'x, -y+11/4, -z+7/4'], ['x, y, z', 'x, -y+1/4, -z+9/4', '-x+5/4, y, -z+9/4', '-x+5/4, -y+1/4, z'], ['x, y, z', '-x+11/4, -y+7/4, z', '-x+11/4, y, -z+7/4', 'x, -y+7/4, -z+7/4'], ['x, y, z', 'x, -y+5/4, -z+5/4', '-x+5/4, y, -z+5/4', '-x+5/4, -y+5/4, z'], ['x, y, z', '-x+11/4, -y+11/4, z', '-x+11/4, y, -z+3/4', 'x, -y+11/4, -z+3/4']], [['x, y, z', 'x, -y+1/4, -z+1/4', '-x+1/4, y, -z+1/4', '-x+1/4, -y+1/4, z'], ['x, y, z', '-x+7/4, -y+7/4, z', '-x+7/4, y, -z+7/4', 'x, -y+7/4, -z+7/4'], ['x, y, z', 'x, -y+5/4, -z+5/4', '-x+1/4, y, -z+5/4', '-x+1/4, -y+5/4, z'], ['x, y, z', '-x+7/4, -y+11/4, z', '-x+7/4, y, -z+11/4', 'x, -y+11/4, -z+11/4'], ['x, y, z', 'x, -y+1/4, -z+5/4', '-x+5/4, y, -z+5/4', '-x+5/4, -y+1/4, z'], ['x, y, z', '-x+11/4, -y+7/4, z', '-x+11/4, y, -z+11/4', 'x, -y+7/4, -z+11/4'], ['x, y, z', 'x, -y+5/4, -z+1/4', '-x+5/4, y, -z+1/4', '-x+5/4, -y+5/4, z'], ['x, y, z', '-x+11/4, -y+11/4, z', '-x+11/4, y, -z+7/4', 'x, -y+11/4, -z+7/4']]]\"\n71,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1']], [['x, y, z', 'x, -y, z'], ['x, y, z', 'x, -y, z'], ['x, y, z', 'x, -y, z'], ['x, y, z', 'x, -y, z'], ['x, y, z', 'x, -y+1, z'], ['x, y, z', 'x, -y+1, z'], ['x, y, z', 'x, -y+1, z'], ['x, y, z', 'x, -y+1, z']], [['x, y, z', '-x, y, z'], ['x, y, z', '-x, y, z'], ['x, y, z', '-x, y, z'], ['x, y, z', '-x, y, z'], ['x, y, z', '-x+1, y, z'], ['x, y, z', '-x+1, y, z'], ['x, y, z', '-x+1, y, z'], ['x, y, z', '-x+1, y, z']], [['x, y, z', '-x+1/2, -y+1/2, -z+1/2'], ['x, y, z', '-x+3/2, -y+3/2, -z+1/2'], ['x, y, z', '-x+3/2, -y+1/2, -z+3/2'], ['x, y, z', '-x+1/2, -y+3/2, -z+3/2'], ['x, y, z', '-x+3/2, -y+3/2, -z+3/2'], ['x, y, z', '-x+5/2, -y+5/2, -z+3/2'], ['x, y, z', '-x+5/2, -y+3/2, -z+5/2'], ['x, y, z', '-x+3/2, -y+5/2, -z+5/2']], [['x, y, z', '-x+1, -y, z', 'x, -y, z', '-x+1, y, z'], ['x, y, z', '-x+1, -y, z', 'x, -y, z', '-x+1, y, z'], ['x, y, z', '-x+2, -y+1, z', 'x, -y+1, z', '-x+2, y, z'], ['x, y, z', '-x+2, -y+1, z', 'x, -y+1, z', '-x+2, y, z']], [['x, y, z', '-x, -y, z', 'x, -y, z', '-x, y, z'], ['x, y, z', '-x, -y, z', 'x, -y, z', '-x, y, z'], ['x, y, z', '-x+1, -y+1, z', 'x, -y+1, z', '-x+1, y, z'], ['x, y, z', '-x+1, -y+1, z', 'x, -y+1, z', '-x+1, y, z']], [['x, y, z', '-x, y, -z+1', 'x, y, -z+1', '-x, y, z'], ['x, y, z', '-x, y, -z+1', 'x, y, -z+1', '-x, y, z'], ['x, y, z', '-x+1, y, -z+2', 'x, y, -z+2', '-x+1, y, z'], ['x, y, z', '-x+1, y, -z+2', 'x, y, -z+2', '-x+1, y, z']], [['x, y, z', '-x, y, -z', 'x, y, -z', '-x, y, z'], ['x, y, z', '-x, y, -z', 'x, y, -z', '-x, y, z'], ['x, y, z', '-x+1, y, -z+1', 'x, y, -z+1', '-x+1, y, z'], ['x, y, z', '-x+1, y, -z+1', 'x, y, -z+1', '-x+1, y, z']], [['x, y, z', 'x, -y+1, -z', 'x, y, -z', 'x, -y+1, z'], ['x, y, z', 'x, -y+1, -z', 'x, y, -z', 'x, -y+1, z'], ['x, y, z', 'x, -y+2, -z+1', 'x, y, -z+1', 'x, -y+2, z'], ['x, y, z', 'x, -y+2, -z+1', 'x, y, -z+1', 'x, -y+2, z']], [['x, y, z', 'x, -y, -z', 'x, y, -z', 'x, -y, z'], ['x, y, z', 'x, -y, -z', 'x, y, -z', 'x, -y, z'], ['x, y, z', 'x, -y+1, -z+1', 'x, y, -z+1', 'x, -y+1, z'], ['x, y, z', 'x, -y+1, -z+1', 'x, y, -z+1', 'x, -y+1, z']], [['x, y, z', '-x+1, -y, z', '-x+1, y, -z+1', 'x, -y, -z+1', '-x+1, -y, -z+1', 'x, y, -z+1', 'x, -y, z', '-x+1, y, z'], ['x, y, z', '-x+2, -y+1, z', '-x+2, y, -z+2', 'x, -y+1, -z+2', '-x+2, -y+1, -z+2', 'x, y, -z+2', 'x, -y+1, z', '-x+2, y, z']], [['x, y, z', '-x+1, -y+1, z', '-x+1, y, -z', 'x, -y+1, -z', '-x+1, -y+1, -z', 'x, y, -z', 'x, -y+1, z', '-x+1, y, z'], ['x, y, z', '-x+2, -y+2, z', '-x+2, y, -z+1', 'x, -y+2, -z+1', '-x+2, -y+2, -z+1', 'x, y, -z+1', 'x, -y+2, z', '-x+2, y, z']], [['x, y, z', '-x, -y+1, z', '-x, y, -z+1', 'x, -y+1, -z+1', '-x, -y+1, -z+1', 'x, y, -z+1', 'x, -y+1, z', '-x, y, z'], ['x, y, z', '-x+1, -y+2, z', '-x+1, y, -z+2', 'x, -y+2, -z+2', '-x+1, -y+2, -z+2', 'x, y, -z+2', 'x, -y+2, z', '-x+1, y, z']], [['x, y, z', '-x, -y, z', '-x, y, -z', 'x, -y, -z', '-x, -y, -z', 'x, y, -z', 'x, -y, z', '-x, y, z'], ['x, y, z', '-x+1, -y+1, z', '-x+1, y, -z+1', 'x, -y+1, -z+1', '-x+1, -y+1, -z+1', 'x, y, -z+1', 'x, -y+1, z', '-x+1, y, z']]]\"\n72,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1']], [['x, y, z', '-x, -y+1, z'], ['x, y, z', '-x+1, -y, z'], ['x, y, z', '-x, -y+1, z'], ['x, y, z', '-x+1, -y, z'], ['x, y, z', '-x+1, -y+2, z'], ['x, y, z', '-x+2, -y+1, z'], ['x, y, z', '-x+1, -y+2, z'], ['x, y, z', '-x+2, -y+1, z']], [['x, y, z', '-x, -y, z'], ['x, y, z', '-x+1, -y+1, z'], ['x, y, z', '-x, -y, z'], ['x, y, z', '-x+1, -y+1, z'], ['x, y, z', '-x+1, -y+1, z'], ['x, y, z', '-x+2, -y+2, z'], ['x, y, z', '-x+1, -y+1, z'], ['x, y, z', '-x+2, -y+2, z']], [['x, y, z', '-x, y, -z+1/2'], ['x, y, z', '-x, y, -z+1/2'], ['x, y, z', '-x, y, -z+3/2'], ['x, y, z', '-x, y, -z+3/2'], ['x, y, z', '-x+1, y, -z+3/2'], ['x, y, z', '-x+1, y, -z+3/2'], ['x, y, z', '-x+1, y, -z+5/2'], ['x, y, z', '-x+1, y, -z+5/2']], [['x, y, z', 'x, -y, -z+1/2'], ['x, y, z', 'x, -y, -z+1/2'], ['x, y, z', 'x, -y, -z+3/2'], ['x, y, z', 'x, -y, -z+3/2'], ['x, y, z', 'x, -y+1, -z+3/2'], ['x, y, z', 'x, -y+1, -z+3/2'], ['x, y, z', 'x, -y+1, -z+5/2'], ['x, y, z', 'x, -y+1, -z+5/2']], [['x, y, z', '-x+1/2, -y+1/2, -z+1/2'], ['x, y, z', '-x+3/2, -y+3/2, -z+1/2'], ['x, y, z', '-x+1/2, -y+3/2, -z+3/2'], ['x, y, z', '-x+3/2, -y+1/2, -z+3/2'], ['x, y, z', '-x+3/2, -y+3/2, -z+3/2'], ['x, y, z', '-x+5/2, -y+5/2, -z+3/2'], ['x, y, z', '-x+3/2, -y+5/2, -z+5/2'], ['x, y, z', '-x+5/2, -y+3/2, -z+5/2']], [['x, y, z', '-x+1, -y, z', '-x+1, -y, -z', 'x, y, -z'], ['x, y, z', '-x, -y+1, z', '-x, -y+1, -z', 'x, y, -z'], ['x, y, z', '-x+2, -y+1, z', '-x+2, -y+1, -z+1', 'x, y, -z+1'], ['x, y, z', '-x+1, -y+2, z', '-x+1, -y+2, -z+1', 'x, y, -z+1']], [['x, y, z', '-x, -y, z', '-x, -y, -z', 'x, y, -z'], ['x, y, z', '-x+1, -y+1, z', '-x+1, -y+1, -z', 'x, y, -z'], ['x, y, z', '-x+1, -y+1, z', '-x+1, -y+1, -z+1', 'x, y, -z+1'], ['x, y, z', '-x+2, -y+2, z', '-x+2, -y+2, -z+1', 'x, y, -z+1']], [['x, y, z', '-x+1, -y, z', '-x+1, y, -z+1/2', 'x, -y, -z+1/2'], ['x, y, z', '-x+1, -y, z', '-x+1, y, -z+3/2', 'x, -y, -z+3/2'], ['x, y, z', '-x+2, -y+1, z', '-x+2, y, -z+3/2', 'x, -y+1, -z+3/2'], ['x, y, z', '-x+2, -y+1, z', '-x+2, y, -z+5/2', 'x, -y+1, -z+5/2']], [['x, y, z', '-x, -y, z', '-x, y, -z+1/2', 'x, -y, -z+1/2'], ['x, y, z', '-x, -y, z', '-x, y, -z+3/2', 'x, -y, -z+3/2'], ['x, y, z', '-x+1, -y+1, z', '-x+1, y, -z+3/2', 'x, -y+1, -z+3/2'], ['x, y, z', '-x+1, -y+1, z', '-x+1, y, -z+5/2', 'x, -y+1, -z+5/2']]]\"\n73,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-x, -y+1/2, z'], ['x, y, z', '-x, -y+3/2, z'], ['x, y, z', '-x, -y+3/2, z'], ['x, y, z', '-x, -y+1/2, z'], ['x, y, z', '-x+1, -y+3/2, z'], ['x, y, z', '-x+1, -y+5/2, z'], ['x, y, z', '-x+1, -y+5/2, z'], ['x, y, z', '-x+1, -y+3/2, z']], [['x, y, z', '-x+1/2, y, -z'], ['x, y, z', '-x+1/2, y, -z+1'], ['x, y, z', '-x+3/2, y, -z'], ['x, y, z', '-x+3/2, y, -z+1'], ['x, y, z', '-x+3/2, y, -z+1'], ['x, y, z', '-x+3/2, y, -z+2'], ['x, y, z', '-x+5/2, y, -z+1'], ['x, y, z', '-x+5/2, y, -z+2']], [['x, y, z', 'x, -y, -z+1/2'], ['x, y, z', 'x, -y, -z+3/2'], ['x, y, z', 'x, -y, -z+3/2'], ['x, y, z', 'x, -y, -z+1/2'], ['x, y, z', 'x, -y+1, -z+3/2'], ['x, y, z', 'x, -y+1, -z+5/2'], ['x, y, z', 'x, -y+1, -z+5/2'], ['x, y, z', 'x, -y+1, -z+3/2']], [['x, y, z', '-x+1/2, -y+1/2, -z+1/2'], ['x, y, z', '-x+1/2, -y+3/2, -z+3/2'], ['x, y, z', '-x+3/2, -y+3/2, -z+1/2'], ['x, y, z', '-x+3/2, -y+1/2, -z+3/2'], ['x, y, z', '-x+3/2, -y+3/2, -z+3/2'], ['x, y, z', '-x+3/2, -y+5/2, -z+5/2'], ['x, y, z', '-x+5/2, -y+5/2, -z+3/2'], ['x, y, z', '-x+5/2, -y+3/2, -z+5/2']], [['x, y, z', '-x, -y, -z'], ['x, y, z', '-x+1, -y, -z+1'], ['x, y, z', '-x, -y+1, -z+1'], ['x, y, z', '-x+1, -y+1, -z'], ['x, y, z', '-x+1, -y+1, -z+1'], ['x, y, z', '-x+2, -y+1, -z+2'], ['x, y, z', '-x+1, -y+2, -z+2'], ['x, y, z', '-x+2, -y+2, -z+1']]]\"\n74,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', 'x, -y+1/2, z'], ['x, y, z', 'x, -y+1/2, z'], ['x, y, z', 'x, -y+3/2, z'], ['x, y, z', 'x, -y+3/2, z'], ['x, y, z', 'x, -y+3/2, z'], ['x, y, z', 'x, -y+3/2, z'], ['x, y, z', 'x, -y+5/2, z'], ['x, y, z', 'x, -y+5/2, z']], [['x, y, z', '-x, y, z'], ['x, y, z', '-x, y, z'], ['x, y, z', '-x, y, z'], ['x, y, z', '-x, y, z'], ['x, y, z', '-x+1, y, z'], ['x, y, z', '-x+1, y, z'], ['x, y, z', '-x+1, y, z'], ['x, y, z', '-x+1, y, z']], [['x, y, z', '-x+1/2, y, -z+1/2'], ['x, y, z', '-x+3/2, y, -z+1/2'], ['x, y, z', '-x+3/2, y, -z+3/2'], ['x, y, z', '-x+1/2, y, -z+3/2'], ['x, y, z', '-x+3/2, y, -z+3/2'], ['x, y, z', '-x+5/2, y, -z+3/2'], ['x, y, z', '-x+5/2, y, -z+5/2'], ['x, y, z', '-x+3/2, y, -z+5/2']], [['x, y, z', 'x, -y, -z'], ['x, y, z', 'x, -y+1, -z'], ['x, y, z', 'x, -y, -z'], ['x, y, z', 'x, -y+1, -z'], ['x, y, z', 'x, -y+1, -z+1'], ['x, y, z', 'x, -y+2, -z+1'], ['x, y, z', 'x, -y+1, -z+1'], ['x, y, z', 'x, -y+2, -z+1']], [['x, y, z', '-x, -y+1/2, z', 'x, -y+1/2, z', '-x, y, z'], ['x, y, z', '-x, -y+3/2, z', 'x, -y+3/2, z', '-x, y, z'], ['x, y, z', '-x+1, -y+3/2, z', 'x, -y+3/2, z', '-x+1, y, z'], ['x, y, z', '-x+1, -y+5/2, z', 'x, -y+5/2, z', '-x+1, y, z']], [['x, y, z', 'x, -y+1/2, z', '-x+1/2, y, -z+3/2', '-x+1/2, -y+1/2, -z+3/2'], ['x, y, z', 'x, -y+1/2, z', '-x+3/2, y, -z+3/2', '-x+3/2, -y+1/2, -z+3/2'], ['x, y, z', 'x, -y+3/2, z', '-x+3/2, y, -z+5/2', '-x+3/2, -y+3/2, -z+5/2'], ['x, y, z', 'x, -y+3/2, z', '-x+5/2, y, -z+5/2', '-x+5/2, -y+3/2, -z+5/2']], [['x, y, z', 'x, -y+1/2, z', '-x+1/2, y, -z+1/2', '-x+1/2, -y+1/2, -z+1/2'], ['x, y, z', 'x, -y+1/2, z', '-x+3/2, y, -z+1/2', '-x+3/2, -y+1/2, -z+1/2'], ['x, y, z', 'x, -y+3/2, z', '-x+3/2, y, -z+3/2', '-x+3/2, -y+3/2, -z+3/2'], ['x, y, z', 'x, -y+3/2, z', '-x+5/2, y, -z+3/2', '-x+5/2, -y+3/2, -z+3/2']], [['x, y, z', 'x, -y, -z+1', '-x, -y, -z+1', '-x, y, z'], ['x, y, z', 'x, -y+1, -z+1', '-x, -y+1, -z+1', '-x, y, z'], ['x, y, z', 'x, -y+1, -z+2', '-x+1, -y+1, -z+2', '-x+1, y, z'], ['x, y, z', 'x, -y+2, -z+2', '-x+1, -y+2, -z+2', '-x+1, y, z']], [['x, y, z', 'x, -y, -z', '-x, -y, -z', '-x, y, z'], ['x, y, z', 'x, -y+1, -z', '-x, -y+1, -z', '-x, y, z'], ['x, y, z', 'x, -y+1, -z+1', '-x+1, -y+1, -z+1', '-x+1, y, z'], ['x, y, z', 'x, -y+2, -z+1', '-x+1, -y+2, -z+1', '-x+1, y, z']]]\"\n75,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-x, -y+1, z'], ['x, y, z', '-x+1, -y, z']], [['x, y, z', '-x+1, -y+1, z', '-y+1, x, z', 'y, -x+1, z']], [['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z']]]\"\n76,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']]]\"\n77,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-x, -y+1, z'], ['x, y, z', '-x+1, -y, z']], [['x, y, z', '-x+1, -y+1, z'], ['x, y, z', '-x+1, -y+1, z']], [['x, y, z', '-x, -y, z'], ['x, y, z', '-x, -y, z']]]\"\n78,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']]]\"\n79,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-x, -y+1, z'], ['x, y, z', '-x+1, -y, z'], ['x, y, z', '-x+1, -y+2, z'], ['x, y, z', '-x+2, -y+1, z']], [['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z'], ['x, y, z', '-x+1, -y+1, z', '-y+1, x, z', 'y, -x+1, z']]]\"\n80,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-x, -y, z'], ['x, y, z', '-x, -y+1, z'], ['x, y, z', '-x+1, -y+1, z'], ['x, y, z', '-x+1, -y+2, z']]]\"\n81,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-x, -y+1, z'], ['x, y, z', '-x+1, -y, z']], [['x, y, z', '-x+1, -y+1, z'], ['x, y, z', '-x+1, -y+1, z']], [['x, y, z', '-x, -y, z'], ['x, y, z', '-x, -y, z']], [['x, y, z', '-x+1, -y+1, z', 'y, -x+1, -z+1', '-y+1, x, -z+1']], [['x, y, z', '-x+1, -y+1, z', 'y, -x+1, -z', '-y+1, x, -z']], [['x, y, z', '-x, -y, z', 'y, -x, -z+1', '-y, x, -z+1']], [['x, y, z', '-x, -y, z', 'y, -x, -z', '-y, x, -z']]]\"\n82,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-x, -y+1, z'], ['x, y, z', '-x+1, -y, z'], ['x, y, z', '-x+1, -y+2, z'], ['x, y, z', '-x+2, -y+1, z']], [['x, y, z', '-x, -y, z'], ['x, y, z', '-x, -y, z'], ['x, y, z', '-x+1, -y+1, z'], ['x, y, z', '-x+1, -y+1, z']], [['x, y, z', '-x, -y+1, z', 'y-1/2, -x+1/2, -z+3/2', '-y+1/2, x+1/2, -z+3/2'], ['x, y, z', '-x+1, -y+2, z', 'y-1/2, -x+3/2, -z+5/2', '-y+3/2, x+1/2, -z+5/2']], [['x, y, z', '-x, -y+1, z', 'y-1/2, -x+1/2, -z+1/2', '-y+1/2, x+1/2, -z+1/2'], ['x, y, z', '-x+1, -y+2, z', 'y-1/2, -x+3/2, -z+3/2', '-y+3/2, x+1/2, -z+3/2']], [['x, y, z', '-x, -y, z', 'y, -x, -z+1', '-y, x, -z+1'], ['x, y, z', '-x+1, -y+1, z', 'y, -x+1, -z+2', '-y+1, x, -z+2']], [['x, y, z', '-x, -y, z', 'y, -x, -z', '-y, x, -z'], ['x, y, z', '-x+1, -y+1, z', 'y, -x+1, -z+1', '-y+1, x, -z+1']]]\"\n83,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1']], [['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z']], [['x, y, z', '-x, -y+1, z'], ['x, y, z', '-x+1, -y, z'], ['x, y, z', '-x, -y+1, z'], ['x, y, z', '-x+1, -y, z']], [['x, y, z', '-x+1, -y+1, z', '-y+1, x, z', 'y, -x+1, z'], ['x, y, z', '-x+1, -y+1, z', '-y+1, x, z', 'y, -x+1, z']], [['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z'], ['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z']], [['x, y, z', '-x, -y+1, z', '-x, -y+1, -z+1', 'x, y, -z+1'], ['x, y, z', '-x+1, -y, z', '-x+1, -y, -z+1', 'x, y, -z+1']], [['x, y, z', '-x, -y+1, z', '-x, -y+1, -z', 'x, y, -z'], ['x, y, z', '-x+1, -y, z', '-x+1, -y, -z', 'x, y, -z']], [['x, y, z', '-x+1, -y+1, z', '-y+1, x, z', 'y, -x+1, z', '-x+1, -y+1, -z+1', 'x, y, -z+1', 'y, -x+1, -z+1', '-y+1, x, -z+1']], [['x, y, z', '-x+1, -y+1, z', '-y+1, x, z', 'y, -x+1, z', '-x+1, -y+1, -z', 'x, y, -z', 'y, -x+1, -z', '-y+1, x, -z']], [['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z', '-x, -y, -z+1', 'x, y, -z+1', 'y, -x, -z+1', '-y, x, -z+1']], [['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z', '-x, -y, -z', 'x, y, -z', 'y, -x, -z', '-y, x, -z']]]\"\n84,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1']], [['x, y, z', '-x, -y+1, z'], ['x, y, z', '-x+1, -y, z'], ['x, y, z', '-x, -y+1, z'], ['x, y, z', '-x+1, -y, z']], [['x, y, z', '-x+1, -y+1, z'], ['x, y, z', '-x+1, -y+1, z'], ['x, y, z', '-x+1, -y+1, z'], ['x, y, z', '-x+1, -y+1, z']], [['x, y, z', '-x, -y, z'], ['x, y, z', '-x, -y, z'], ['x, y, z', '-x, -y, z'], ['x, y, z', '-x, -y, z']], [['x, y, z', '-x+1, -y+1, z', 'y, -x+1, -z+1/2', '-y+1, x, -z+1/2'], ['x, y, z', '-x+1, -y+1, z', 'y, -x+1, -z+3/2', '-y+1, x, -z+3/2']], [['x, y, z', '-x, -y, z', 'y, -x, -z+1/2', '-y, x, -z+1/2'], ['x, y, z', '-x, -y, z', 'y, -x, -z+3/2', '-y, x, -z+3/2']], [['x, y, z', '-x, -y+1, z', '-x, -y+1, -z+1', 'x, y, -z+1'], ['x, y, z', '-x+1, -y, z', '-x+1, -y, -z', 'x, y, -z']], [['x, y, z', '-x, -y+1, z', '-x, -y+1, -z', 'x, y, -z'], ['x, y, z', '-x+1, -y, z', '-x+1, -y, -z+1', 'x, y, -z+1']], [['x, y, z', '-x+1, -y+1, z', '-x+1, -y+1, -z', 'x, y, -z'], ['x, y, z', '-x+1, -y+1, z', '-x+1, -y+1, -z+1', 'x, y, -z+1']], [['x, y, z', '-x, -y, z', '-x, -y, -z', 'x, y, -z'], ['x, y, z', '-x, -y, z', '-x, -y, -z+1', 'x, y, -z+1']]]\"\n85,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-x+1/2, -y+3/2, z'], ['x, y, z', '-x+3/2, -y+1/2, z'], ['x, y, z', '-x+3/2, -y+1/2, z'], ['x, y, z', '-x+1/2, -y+3/2, z']], [['x, y, z', '-x, -y, -z+1'], ['x, y, z', '-x+1, -y+1, -z+1'], ['x, y, z', '-x+1, -y, -z+1'], ['x, y, z', '-x, -y+1, -z+1']], [['x, y, z', '-x, -y, -z'], ['x, y, z', '-x+1, -y+1, -z'], ['x, y, z', '-x+1, -y, -z'], ['x, y, z', '-x, -y+1, -z']], [['x, y, z', '-x+1/2, -y+1/2, z', '-y+1/2, x, z', 'y, -x+1/2, z'], ['x, y, z', '-x+3/2, -y+3/2, z', '-y+3/2, x, z', 'y, -x+3/2, z']], [['x, y, z', '-x+1/2, -y+3/2, z', 'y-1/2, -x+1, -z+1', '-y+1, x+1/2, -z+1'], ['x, y, z', '-x+3/2, -y+1/2, z', 'y+1/2, -x+1, -z+1', '-y+1, x-1/2, -z+1']], [['x, y, z', '-x+1/2, -y+3/2, z', 'y-1/2, -x+1, -z', '-y+1, x+1/2, -z'], ['x, y, z', '-x+3/2, -y+1/2, z', 'y+1/2, -x+1, -z', '-y+1, x-1/2, -z']]]\"\n86,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-x+1/2, -y+1/2, z'], ['x, y, z', '-x+3/2, -y+3/2, z'], ['x, y, z', '-x+3/2, -y+3/2, z'], ['x, y, z', '-x+1/2, -y+1/2, z']], [['x, y, z', '-x+3/2, -y+1/2, z'], ['x, y, z', '-x+3/2, -y+1/2, z'], ['x, y, z', '-x+1/2, -y+3/2, z'], ['x, y, z', '-x+1/2, -y+3/2, z']], [['x, y, z', '-x, -y, -z+1'], ['x, y, z', '-x+1, -y+1, -z+1'], ['x, y, z', '-x, -y+1, -z'], ['x, y, z', '-x+1, -y, -z']], [['x, y, z', '-x, -y, -z'], ['x, y, z', '-x+1, -y+1, -z'], ['x, y, z', '-x, -y+1, -z+1'], ['x, y, z', '-x+1, -y, -z+1']], [['x, y, z', '-x+1/2, -y+1/2, z', 'y, -x+1/2, -z+3/2', '-y+1/2, x, -z+3/2'], ['x, y, z', '-x+3/2, -y+3/2, z', 'y, -x+3/2, -z+1/2', '-y+3/2, x, -z+1/2']], [['x, y, z', '-x+1/2, -y+1/2, z', 'y, -x+1/2, -z+1/2', '-y+1/2, x, -z+1/2'], ['x, y, z', '-x+3/2, -y+3/2, z', 'y, -x+3/2, -z+3/2', '-y+3/2, x, -z+3/2']]]\"\n87,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1']], [['x, y, z', '-x, -y+1, z'], ['x, y, z', '-x+1, -y, z'], ['x, y, z', '-x, -y+1, z'], ['x, y, z', '-x+1, -y, z'], ['x, y, z', '-x+1, -y+2, z'], ['x, y, z', '-x+2, -y+1, z'], ['x, y, z', '-x+1, -y+2, z'], ['x, y, z', '-x+2, -y+1, z']], [['x, y, z', '-x+1/2, -y+1/2, -z+1/2'], ['x, y, z', '-x+3/2, -y+3/2, -z+1/2'], ['x, y, z', '-x+3/2, -y+1/2, -z+1/2'], ['x, y, z', '-x+1/2, -y+3/2, -z+1/2'], ['x, y, z', '-x+3/2, -y+3/2, -z+3/2'], ['x, y, z', '-x+5/2, -y+5/2, -z+3/2'], ['x, y, z', '-x+5/2, -y+3/2, -z+3/2'], ['x, y, z', '-x+3/2, -y+5/2, -z+3/2']], [['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z'], ['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z'], ['x, y, z', '-x+1, -y+1, z', '-y+1, x, z', 'y, -x+1, z'], ['x, y, z', '-x+1, -y+1, z', '-y+1, x, z', 'y, -x+1, z']], [['x, y, z', '-x, -y+1, z', 'y-1/2, -x+1/2, -z+1/2', '-y+1/2, x+1/2, -z+1/2'], ['x, y, z', '-x+1, -y, z', 'y+1/2, -x+1/2, -z+1/2', '-y+1/2, x-1/2, -z+1/2'], ['x, y, z', '-x+1, -y+2, z', 'y-1/2, -x+3/2, -z+3/2', '-y+3/2, x+1/2, -z+3/2'], ['x, y, z', '-x+2, -y+1, z', 'y+1/2, -x+3/2, -z+3/2', '-y+3/2, x-1/2, -z+3/2']], [['x, y, z', '-x, -y+1, z', '-x, -y+1, -z', 'x, y, -z'], ['x, y, z', '-x+1, -y, z', '-x+1, -y, -z', 'x, y, -z'], ['x, y, z', '-x+1, -y+2, z', '-x+1, -y+2, -z+1', 'x, y, -z+1'], ['x, y, z', '-x+2, -y+1, z', '-x+2, -y+1, -z+1', 'x, y, -z+1']], [['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z', '-x, -y, -z+1', 'x, y, -z+1', 'y, -x, -z+1', '-y, x, -z+1'], ['x, y, z', '-x+1, -y+1, z', '-y+1, x, z', 'y, -x+1, z', '-x+1, -y+1, -z+2', 'x, y, -z+2', 'y, -x+1, -z+2', '-y+1, x, -z+2']], [['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z', '-x, -y, -z', 'x, y, -z', 'y, -x, -z', '-y, x, -z'], ['x, y, z', '-x+1, -y+1, z', '-y+1, x, z', 'y, -x+1, z', '-x+1, -y+1, -z+1', 'x, y, -z+1', 'y, -x+1, -z+1', '-y+1, x, -z+1']]]\"\n88,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-x, -y+1/2, z'], ['x, y, z', '-x+1, -y+1/2, z'], ['x, y, z', '-x, -y+3/2, z'], ['x, y, z', '-x+1, -y+3/2, z'], ['x, y, z', '-x+1, -y+3/2, z'], ['x, y, z', '-x+2, -y+3/2, z'], ['x, y, z', '-x+1, -y+5/2, z'], ['x, y, z', '-x+2, -y+5/2, z']], [['x, y, z', '-x, -y, -z+1'], ['x, y, z', '-x+1, -y, -z'], ['x, y, z', '-x+3/2, -y+1/2, -z+3/2'], ['x, y, z', '-x+3/2, -y+3/2, -z+1/2'], ['x, y, z', '-x+1, -y+1, -z+2'], ['x, y, z', '-x+2, -y+1, -z+1'], ['x, y, z', '-x+5/2, -y+3/2, -z+5/2'], ['x, y, z', '-x+5/2, -y+5/2, -z+3/2']], [['x, y, z', '-x, -y, -z'], ['x, y, z', '-x+1, -y, -z+1'], ['x, y, z', '-x+3/2, -y+1/2, -z+1/2'], ['x, y, z', '-x+3/2, -y+3/2, -z+3/2'], ['x, y, z', '-x+1, -y+1, -z+1'], ['x, y, z', '-x+2, -y+1, -z+2'], ['x, y, z', '-x+5/2, -y+3/2, -z+3/2'], ['x, y, z', '-x+5/2, -y+5/2, -z+5/2']], [['x, y, z', '-y+1/4, x+1/4, -z+5/4', '-x, -y+1/2, z', 'y-1/4, -x+1/4, -z+5/4'], ['x, y, z', 'y+1/4, -x+3/4, -z+7/4', '-x+1, -y+1/2, z', '-y+3/4, x-1/4, -z+7/4'], ['x, y, z', '-y+5/4, x+1/4, -z+9/4', '-x+1, -y+3/2, z', 'y-1/4, -x+5/4, -z+9/4'], ['x, y, z', 'y+1/4, -x+7/4, -z+11/4', '-x+2, -y+3/2, z', '-y+7/4, x-1/4, -z+11/4']], [['x, y, z', '-y+1/4, x+1/4, -z+1/4', '-x, -y+1/2, z', 'y-1/4, -x+1/4, -z+1/4'], ['x, y, z', 'y+1/4, -x+3/4, -z+3/4', '-x+1, -y+1/2, z', '-y+3/4, x-1/4, -z+3/4'], ['x, y, z', '-y+5/4, x+1/4, -z+5/4', '-x+1, -y+3/2, z', 'y-1/4, -x+5/4, -z+5/4'], ['x, y, z', 'y+1/4, -x+7/4, -z+7/4', '-x+2, -y+3/2, z', '-y+7/4, x-1/4, -z+7/4']]]\"\n89,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', 'x, -y+1, -z'], ['x, y, z', 'x, -y+1, -z'], ['x, y, z', '-x+1, y, -z'], ['x, y, z', '-x+1, y, -z']], [['x, y, z', 'x, -y, -z+1'], ['x, y, z', 'x, -y, -z+1'], ['x, y, z', '-x, y, -z+1'], ['x, y, z', '-x, y, -z+1']], [['x, y, z', 'x, -y+1, -z+1'], ['x, y, z', 'x, -y+1, -z+1'], ['x, y, z', '-x+1, y, -z+1'], ['x, y, z', '-x+1, y, -z+1']], [['x, y, z', 'x, -y, -z'], ['x, y, z', 'x, -y, -z'], ['x, y, z', '-x, y, -z'], ['x, y, z', '-x, y, -z']], [['x, y, z', 'y, x, -z+1'], ['x, y, z', 'y, x, -z+1'], ['x, y, z', '-y, -x, -z+1'], ['x, y, z', '-y, -x, -z+1']], [['x, y, z', 'y, x, -z'], ['x, y, z', 'y, x, -z'], ['x, y, z', '-y, -x, -z'], ['x, y, z', '-y, -x, -z']], [['x, y, z', '-x, -y+1, z'], ['x, y, z', '-x+1, -y, z'], ['x, y, z', '-x, -y+1, z'], ['x, y, z', '-x+1, -y, z']], [['x, y, z', '-x+1, -y+1, z', '-y+1, x, z', 'y, -x+1, z'], ['x, y, z', '-x+1, -y+1, z', '-y+1, x, z', 'y, -x+1, z']], [['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z'], ['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z']], [['x, y, z', '-x+1, -y, z', '-x+1, y, -z+1', 'x, -y, -z+1'], ['x, y, z', '-x, -y+1, z', '-x, y, -z+1', 'x, -y+1, -z+1']], [['x, y, z', '-x+1, -y, z', '-x+1, y, -z', 'x, -y, -z'], ['x, y, z', '-x, -y+1, z', '-x, y, -z', 'x, -y+1, -z']], [['x, y, z', '-x+1, -y+1, z', '-y+1, x, z', 'y, -x+1, z', '-x+1, y, -z+1', 'x, -y+1, -z+1', 'y, x, -z+1', '-y+1, -x+1, -z+1']], [['x, y, z', '-x+1, -y+1, z', '-y+1, x, z', 'y, -x+1, z', '-x+1, y, -z', 'x, -y+1, -z', 'y, x, -z', '-y+1, -x+1, -z']], [['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z', '-x, y, -z+1', 'x, -y, -z+1', 'y, x, -z+1', '-y, -x, -z+1']], [['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z', '-x, y, -z', 'x, -y, -z', 'y, x, -z', '-y, -x, -z']]]\"\n90,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', 'y, x, -z+1'], ['x, y, z', 'y, x, -z+1'], ['x, y, z', '-y+1, -x+1, -z+1'], ['x, y, z', '-y+1, -x+1, -z+1']], [['x, y, z', 'y, x, -z'], ['x, y, z', 'y, x, -z'], ['x, y, z', '-y+1, -x+1, -z'], ['x, y, z', '-y+1, -x+1, -z']], [['x, y, z', '-x, -y, z'], ['x, y, z', '-x+1, -y+1, z'], ['x, y, z', '-x+1, -y+1, z'], ['x, y, z', '-x, -y, z']], [['x, y, z', '-x, -y+1, z', '-y+1/2, x+1/2, z', 'y-1/2, -x+1/2, z'], ['x, y, z', '-x+1, -y, z', '-y+1/2, x-1/2, z', 'y+1/2, -x+1/2, z']], [['x, y, z', '-x, -y, z', 'y, x, -z+1', '-y, -x, -z+1'], ['x, y, z', '-x+1, -y+1, z', 'y, x, -z+1', '-y+1, -x+1, -z+1']], [['x, y, z', '-x, -y, z', 'y, x, -z', '-y, -x, -z'], ['x, y, z', '-x+1, -y+1, z', 'y, x, -z', '-y+1, -x+1, -z']]]\"\n91,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', 'y, x, -z+3/4'], ['x, y, z', 'y, x, -z+7/4'], ['x, y, z', '-y, -x, -z+5/4'], ['x, y, z', '-y, -x, -z+1/4']], [['x, y, z', '-x+1, y, -z'], ['x, y, z', '-x+1, y, -z+1'], ['x, y, z', 'x, -y+1, -z+1/2'], ['x, y, z', 'x, -y+1, -z+3/2']], [['x, y, z', '-x, y, -z'], ['x, y, z', '-x, y, -z+1'], ['x, y, z', 'x, -y, -z+1/2'], ['x, y, z', 'x, -y, -z+3/2']]]\"\n92,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', 'y, x, -z'], ['x, y, z', 'y, x, -z+1'], ['x, y, z', '-y+1, -x+1, -z+1/2'], ['x, y, z', '-y+1, -x+1, -z+3/2']]]\"\n93,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', 'y, x, -z+3/2'], ['x, y, z', 'y, x, -z+3/2'], ['x, y, z', '-y, -x, -z+1/2'], ['x, y, z', '-y, -x, -z+1/2']], [['x, y, z', 'y, x, -z+1/2'], ['x, y, z', 'y, x, -z+1/2'], ['x, y, z', '-y, -x, -z+3/2'], ['x, y, z', '-y, -x, -z+3/2']], [['x, y, z', 'x, -y+1, -z'], ['x, y, z', 'x, -y+1, -z'], ['x, y, z', '-x+1, y, -z+1'], ['x, y, z', '-x+1, y, -z+1']], [['x, y, z', 'x, -y, -z+1'], ['x, y, z', 'x, -y, -z+1'], ['x, y, z', '-x, y, -z'], ['x, y, z', '-x, y, -z']], [['x, y, z', 'x, -y+1, -z+1'], ['x, y, z', 'x, -y+1, -z+1'], ['x, y, z', '-x+1, y, -z'], ['x, y, z', '-x+1, y, -z']], [['x, y, z', 'x, -y, -z'], ['x, y, z', 'x, -y, -z'], ['x, y, z', '-x, y, -z+1'], ['x, y, z', '-x, y, -z+1']], [['x, y, z', '-x, -y+1, z'], ['x, y, z', '-x+1, -y, z'], ['x, y, z', '-x, -y+1, z'], ['x, y, z', '-x+1, -y, z']], [['x, y, z', '-x+1, -y+1, z'], ['x, y, z', '-x+1, -y+1, z'], ['x, y, z', '-x+1, -y+1, z'], ['x, y, z', '-x+1, -y+1, z']], [['x, y, z', '-x, -y, z'], ['x, y, z', '-x, -y, z'], ['x, y, z', '-x, -y, z'], ['x, y, z', '-x, -y, z']], [['x, y, z', '-x+1, -y+1, z', 'y, x, -z+1/2', '-y+1, -x+1, -z+1/2'], ['x, y, z', '-x+1, -y+1, z', 'y, x, -z+3/2', '-y+1, -x+1, -z+3/2']], [['x, y, z', '-x, -y, z', 'y, x, -z+1/2', '-y, -x, -z+1/2'], ['x, y, z', '-x, -y, z', 'y, x, -z+3/2', '-y, -x, -z+3/2']], [['x, y, z', '-x, -y+1, z', '-x, y, -z+1', 'x, -y+1, -z+1'], ['x, y, z', '-x+1, -y, z', '-x+1, y, -z', 'x, -y, -z']], [['x, y, z', '-x, -y+1, z', '-x, y, -z', 'x, -y+1, -z'], ['x, y, z', '-x+1, -y, z', '-x+1, y, -z+1', 'x, -y, -z+1']], [['x, y, z', '-x+1, -y+1, z', '-x+1, y, -z', 'x, -y+1, -z'], ['x, y, z', '-x+1, -y+1, z', '-x+1, y, -z+1', 'x, -y+1, -z+1']], [['x, y, z', '-x, -y, z', '-x, y, -z', 'x, -y, -z'], ['x, y, z', '-x, -y, z', '-x, y, -z+1', 'x, -y, -z+1']]]\"\n94,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', 'y, x, -z+1'], ['x, y, z', 'y, x, -z+1'], ['x, y, z', '-y+1, -x+1, -z'], ['x, y, z', '-y+1, -x+1, -z']], [['x, y, z', 'y, x, -z'], ['x, y, z', 'y, x, -z'], ['x, y, z', '-y+1, -x+1, -z+1'], ['x, y, z', '-y+1, -x+1, -z+1']], [['x, y, z', '-x, -y+1, z'], ['x, y, z', '-x, -y+1, z'], ['x, y, z', '-x+1, -y, z'], ['x, y, z', '-x+1, -y, z']], [['x, y, z', '-x, -y, z'], ['x, y, z', '-x+1, -y+1, z'], ['x, y, z', '-x+1, -y+1, z'], ['x, y, z', '-x, -y, z']], [['x, y, z', '-x, -y, z', 'y, x, -z+1', '-y, -x, -z+1'], ['x, y, z', '-x+1, -y+1, z', 'y, x, -z', '-y+1, -x+1, -z']], [['x, y, z', '-x, -y, z', 'y, x, -z', '-y, -x, -z'], ['x, y, z', '-x+1, -y+1, z', 'y, x, -z+1', '-y+1, -x+1, -z+1']]]\"\n95,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', 'y, x, -z+5/4'], ['x, y, z', 'y, x, -z+1/4'], ['x, y, z', '-y, -x, -z+3/4'], ['x, y, z', '-y, -x, -z+7/4']], [['x, y, z', '-x+1, y, -z'], ['x, y, z', '-x+1, y, -z+1'], ['x, y, z', 'x, -y+1, -z+3/2'], ['x, y, z', 'x, -y+1, -z+1/2']], [['x, y, z', '-x, y, -z'], ['x, y, z', '-x, y, -z+1'], ['x, y, z', 'x, -y, -z+3/2'], ['x, y, z', 'x, -y, -z+1/2']]]\"\n96,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', 'y, x, -z'], ['x, y, z', 'y, x, -z+1'], ['x, y, z', '-y+1, -x+1, -z+3/2'], ['x, y, z', '-y+1, -x+1, -z+1/2']]]\"\n97,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', 'y-1/2, x+1/2, -z+1/2'], ['x, y, z', 'y-1/2, x+1/2, -z+1/2'], ['x, y, z', '-y+1/2, -x+1/2, -z+1/2'], ['x, y, z', '-y+1/2, -x+1/2, -z+1/2'], ['x, y, z', 'y-1/2, x+1/2, -z+3/2'], ['x, y, z', 'y-1/2, x+1/2, -z+3/2'], ['x, y, z', '-y+3/2, -x+3/2, -z+3/2'], ['x, y, z', '-y+3/2, -x+3/2, -z+3/2']], [['x, y, z', 'x, -y, -z+1'], ['x, y, z', 'x, -y, -z+1'], ['x, y, z', '-x, y, -z+1'], ['x, y, z', '-x, y, -z+1'], ['x, y, z', 'x, -y+1, -z+2'], ['x, y, z', 'x, -y+1, -z+2'], ['x, y, z', '-x+1, y, -z+2'], ['x, y, z', '-x+1, y, -z+2']], [['x, y, z', 'x, -y, -z'], ['x, y, z', 'x, -y, -z'], ['x, y, z', '-x, y, -z'], ['x, y, z', '-x, y, -z'], ['x, y, z', 'x, -y+1, -z+1'], ['x, y, z', 'x, -y+1, -z+1'], ['x, y, z', '-x+1, y, -z+1'], ['x, y, z', '-x+1, y, -z+1']], [['x, y, z', 'y, x, -z'], ['x, y, z', 'y, x, -z'], ['x, y, z', '-y, -x, -z'], ['x, y, z', '-y, -x, -z'], ['x, y, z', 'y, x, -z+1'], ['x, y, z', 'y, x, -z+1'], ['x, y, z', '-y+1, -x+1, -z+1'], ['x, y, z', '-y+1, -x+1, -z+1']], [['x, y, z', '-x, -y+1, z'], ['x, y, z', '-x+1, -y, z'], ['x, y, z', '-x, -y+1, z'], ['x, y, z', '-x+1, -y, z'], ['x, y, z', '-x+1, -y+2, z'], ['x, y, z', '-x+2, -y+1, z'], ['x, y, z', '-x+1, -y+2, z'], ['x, y, z', '-x+2, -y+1, z']], [['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z'], ['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z'], ['x, y, z', '-x+1, -y+1, z', '-y+1, x, z', 'y, -x+1, z'], ['x, y, z', '-x+1, -y+1, z', '-y+1, x, z', 'y, -x+1, z']], [['x, y, z', '-x, -y+1, z', 'y-1/2, x+1/2, -z+1/2', '-y+1/2, -x+1/2, -z+1/2'], ['x, y, z', '-x+1, -y, z', 'y+1/2, x-1/2, -z+1/2', '-y+1/2, -x+1/2, -z+1/2'], ['x, y, z', '-x+1, -y+2, z', 'y-1/2, x+1/2, -z+3/2', '-y+3/2, -x+3/2, -z+3/2'], ['x, y, z', '-x+2, -y+1, z', 'y+1/2, x-1/2, -z+3/2', '-y+3/2, -x+3/2, -z+3/2']], [['x, y, z', '-x, -y+1, z', '-x, y, -z', 'x, -y+1, -z'], ['x, y, z', '-x+1, -y, z', '-x+1, y, -z', 'x, -y, -z'], ['x, y, z', '-x+1, -y+2, z', '-x+1, y, -z+1', 'x, -y+2, -z+1'], ['x, y, z', '-x+2, -y+1, z', '-x+2, y, -z+1', 'x, -y+1, -z+1']], [['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z', '-x, y, -z+1', 'x, -y, -z+1', 'y, x, -z+1', '-y, -x, -z+1'], ['x, y, z', '-x+1, -y+1, z', '-y+1, x, z', 'y, -x+1, z', '-x+1, y, -z+2', 'x, -y+1, -z+2', 'y, x, -z+2', '-y+1, -x+1, -z+2']], [['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z', '-x, y, -z', 'x, -y, -z', 'y, x, -z', '-y, -x, -z'], ['x, y, z', '-x+1, -y+1, z', '-y+1, x, z', 'y, -x+1, z', '-x+1, y, -z+1', 'x, -y+1, -z+1', 'y, x, -z+1', '-y+1, -x+1, -z+1']]]\"\n98,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', 'x, -y+1/2, -z+1/4'], ['x, y, z', 'x, -y+1/2, -z+5/4'], ['x, y, z', '-x+3/2, y, -z+3/4'], ['x, y, z', '-x+3/2, y, -z+7/4'], ['x, y, z', 'x, -y+3/2, -z+5/4'], ['x, y, z', 'x, -y+3/2, -z+9/4'], ['x, y, z', '-x+5/2, y, -z+7/4'], ['x, y, z', '-x+5/2, y, -z+11/4']], [['x, y, z', '-y, -x, -z'], ['x, y, z', '-y+1, -x+1, -z+1'], ['x, y, z', 'y-1/2, x+1/2, -z+1/2'], ['x, y, z', 'y+1/2, x-1/2, -z+3/2'], ['x, y, z', '-y+1, -x+1, -z+1'], ['x, y, z', '-y+2, -x+2, -z+2'], ['x, y, z', 'y-1/2, x+1/2, -z+3/2'], ['x, y, z', 'y+1/2, x-1/2, -z+5/2']], [['x, y, z', 'y, x, -z'], ['x, y, z', 'y, x, -z+1'], ['x, y, z', '-y+1/2, -x+1/2, -z+1/2'], ['x, y, z', '-y+1/2, -x+1/2, -z+3/2'], ['x, y, z', 'y, x, -z+1'], ['x, y, z', 'y, x, -z+2'], ['x, y, z', '-y+3/2, -x+3/2, -z+3/2'], ['x, y, z', '-y+3/2, -x+3/2, -z+5/2']], [['x, y, z', '-x, -y, z'], ['x, y, z', '-x, -y+1, z'], ['x, y, z', '-x+1, -y, z'], ['x, y, z', '-x+1, -y+1, z'], ['x, y, z', '-x+1, -y+1, z'], ['x, y, z', '-x+1, -y+2, z'], ['x, y, z', '-x+2, -y+1, z'], ['x, y, z', '-x+2, -y+2, z']], [['x, y, z', '-y, -x, -z+1', '-x, -y, z', 'y, x, -z+1'], ['x, y, z', 'y-1/2, x+1/2, -z+3/2', '-x, -y+1, z', '-y+1/2, -x+1/2, -z+3/2'], ['x, y, z', '-y+1, -x+1, -z+2', '-x+1, -y+1, z', 'y, x, -z+2'], ['x, y, z', 'y-1/2, x+1/2, -z+5/2', '-x+1, -y+2, z', '-y+3/2, -x+3/2, -z+5/2']], [['x, y, z', '-y, -x, -z', '-x, -y, z', 'y, x, -z'], ['x, y, z', 'y-1/2, x+1/2, -z+1/2', '-x, -y+1, z', '-y+1/2, -x+1/2, -z+1/2'], ['x, y, z', '-y+1, -x+1, -z+1', '-x+1, -y+1, z', 'y, x, -z+1'], ['x, y, z', 'y-1/2, x+1/2, -z+3/2', '-x+1, -y+2, z', '-y+3/2, -x+3/2, -z+3/2']]]\"\n99,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', 'x, -y+1, z'], ['x, y, z', 'x, -y+1, z'], ['x, y, z', '-x+1, y, z'], ['x, y, z', '-x+1, y, z']], [['x, y, z', 'x, -y, z'], ['x, y, z', 'x, -y, z'], ['x, y, z', '-x, y, z'], ['x, y, z', '-x, y, z']], [['x, y, z', 'y, x, z'], ['x, y, z', 'y, x, z'], ['x, y, z', '-y, -x, z'], ['x, y, z', '-y, -x, z']], [['x, y, z', '-x+1, -y, z', 'x, -y, z', '-x+1, y, z'], ['x, y, z', '-x, -y+1, z', 'x, -y+1, z', '-x, y, z']], [['x, y, z', '-x+1, -y+1, z', '-y+1, x, z', 'y, -x+1, z', 'x, -y+1, z', '-x+1, y, z', '-y+1, -x+1, z', 'y, x, z']], [['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z', 'x, -y, z', '-x, y, z', '-y, -x, z', 'y, x, z']]]\"\n100,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', 'y-1/2, x+1/2, z'], ['x, y, z', 'y-1/2, x+1/2, z'], ['x, y, z', '-y+1/2, -x+1/2, z'], ['x, y, z', '-y+1/2, -x+1/2, z']], [['x, y, z', '-x+1, -y, z', '-y+1/2, -x+1/2, z', 'y+1/2, x-1/2, z'], ['x, y, z', '-x, -y+1, z', '-y+1/2, -x+1/2, z', 'y-1/2, x+1/2, z']], [['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z'], ['x, y, z', '-x+1, -y+1, z', '-y+1, x, z', 'y, -x+1, z']]]\"\n101,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', 'y, x, z'], ['x, y, z', 'y, x, z'], ['x, y, z', '-y, -x, z'], ['x, y, z', '-y, -x, z']], [['x, y, z', '-x, -y+1, z'], ['x, y, z', '-x+1, -y, z'], ['x, y, z', '-x, -y+1, z'], ['x, y, z', '-x+1, -y, z']], [['x, y, z', '-x+1, -y+1, z', '-y+1, -x+1, z', 'y, x, z'], ['x, y, z', '-x+1, -y+1, z', '-y+1, -x+1, z', 'y, x, z']], [['x, y, z', '-x, -y, z', '-y, -x, z', 'y, x, z'], ['x, y, z', '-x, -y, z', '-y, -x, z', 'y, x, z']]]\"\n102,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', 'y, x, z'], ['x, y, z', 'y, x, z'], ['x, y, z', '-y+1, -x+1, z'], ['x, y, z', '-y+1, -x+1, z']], [['x, y, z', '-x, -y+1, z'], ['x, y, z', '-x, -y+1, z'], ['x, y, z', '-x+1, -y, z'], ['x, y, z', '-x+1, -y, z']], [['x, y, z', '-x, -y, z', '-y, -x, z', 'y, x, z'], ['x, y, z', '-x+1, -y+1, z', '-y+1, -x+1, z', 'y, x, z']]]\"\n103,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-x, -y+1, z'], ['x, y, z', '-x+1, -y, z'], ['x, y, z', '-x, -y+1, z'], ['x, y, z', '-x+1, -y, z']], [['x, y, z', '-x+1, -y+1, z', '-y+1, x, z', 'y, -x+1, z'], ['x, y, z', '-x+1, -y+1, z', '-y+1, x, z', 'y, -x+1, z']], [['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z'], ['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z']]]\"\n104,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-x, -y+1, z'], ['x, y, z', '-x+1, -y, z'], ['x, y, z', '-x+1, -y, z'], ['x, y, z', '-x, -y+1, z']], [['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z'], ['x, y, z', '-x+1, -y+1, z', '-y+1, x, z', 'y, -x+1, z']]]\"\n105,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', 'x, -y+1, z'], ['x, y, z', 'x, -y+1, z'], ['x, y, z', '-x+1, y, z'], ['x, y, z', '-x+1, y, z']], [['x, y, z', 'x, -y, z'], ['x, y, z', 'x, -y, z'], ['x, y, z', '-x, y, z'], ['x, y, z', '-x, y, z']], [['x, y, z', '-x, -y+1, z', 'x, -y+1, z', '-x, y, z'], ['x, y, z', '-x+1, -y, z', 'x, -y, z', '-x+1, y, z']], [['x, y, z', '-x+1, -y+1, z', 'x, -y+1, z', '-x+1, y, z'], ['x, y, z', '-x+1, -y+1, z', 'x, -y+1, z', '-x+1, y, z']], [['x, y, z', '-x, -y, z', 'x, -y, z', '-x, y, z'], ['x, y, z', '-x, -y, z', 'x, -y, z', '-x, y, z']]]\"\n106,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-x, -y+1, z'], ['x, y, z', '-x+1, -y, z'], ['x, y, z', '-x+1, -y, z'], ['x, y, z', '-x, -y+1, z']], [['x, y, z', '-x, -y, z'], ['x, y, z', '-x, -y, z'], ['x, y, z', '-x+1, -y+1, z'], ['x, y, z', '-x+1, -y+1, z']]]\"\n107,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', 'x, -y, z'], ['x, y, z', 'x, -y, z'], ['x, y, z', '-x, y, z'], ['x, y, z', '-x, y, z'], ['x, y, z', 'x, -y+1, z'], ['x, y, z', 'x, -y+1, z'], ['x, y, z', '-x+1, y, z'], ['x, y, z', '-x+1, y, z']], [['x, y, z', 'y, x, z'], ['x, y, z', 'y, x, z'], ['x, y, z', '-y, -x, z'], ['x, y, z', '-y, -x, z'], ['x, y, z', 'y, x, z'], ['x, y, z', 'y, x, z'], ['x, y, z', '-y+1, -x+1, z'], ['x, y, z', '-y+1, -x+1, z']], [['x, y, z', '-x, -y+1, z', 'x, -y+1, z', '-x, y, z'], ['x, y, z', '-x+1, -y, z', 'x, -y, z', '-x+1, y, z'], ['x, y, z', '-x+1, -y+2, z', 'x, -y+2, z', '-x+1, y, z'], ['x, y, z', '-x+2, -y+1, z', 'x, -y+1, z', '-x+2, y, z']], [['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z', 'x, -y, z', '-x, y, z', '-y, -x, z', 'y, x, z'], ['x, y, z', '-x+1, -y+1, z', '-y+1, x, z', 'y, -x+1, z', 'x, -y+1, z', '-x+1, y, z', '-y+1, -x+1, z', 'y, x, z']]]\"\n108,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', 'y-1/2, x+1/2, z'], ['x, y, z', 'y-1/2, x+1/2, z'], ['x, y, z', '-y+1/2, -x+1/2, z'], ['x, y, z', '-y+1/2, -x+1/2, z'], ['x, y, z', 'y-1/2, x+1/2, z'], ['x, y, z', 'y-1/2, x+1/2, z'], ['x, y, z', '-y+3/2, -x+3/2, z'], ['x, y, z', '-y+3/2, -x+3/2, z']], [['x, y, z', '-x+1, -y, z', '-y+1/2, -x+1/2, z', 'y+1/2, x-1/2, z'], ['x, y, z', '-x, -y+1, z', '-y+1/2, -x+1/2, z', 'y-1/2, x+1/2, z'], ['x, y, z', '-x+2, -y+1, z', '-y+3/2, -x+3/2, z', 'y+1/2, x-1/2, z'], ['x, y, z', '-x+1, -y+2, z', '-y+3/2, -x+3/2, z', 'y-1/2, x+1/2, z']], [['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z'], ['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z'], ['x, y, z', '-x+1, -y+1, z', '-y+1, x, z', 'y, -x+1, z'], ['x, y, z', '-x+1, -y+1, z', '-y+1, x, z', 'y, -x+1, z']]]\"\n109,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-x, y, z'], ['x, y, z', '-x+1, y, z'], ['x, y, z', 'x, -y+1, z'], ['x, y, z', 'x, -y, z'], ['x, y, z', '-x+1, y, z'], ['x, y, z', '-x+2, y, z'], ['x, y, z', 'x, -y+2, z'], ['x, y, z', 'x, -y+1, z']], [['x, y, z', 'x, -y, z', '-x, -y, z', '-x, y, z'], ['x, y, z', 'x, -y+1, z', '-x, -y+1, z', '-x, y, z'], ['x, y, z', 'x, -y+1, z', '-x+1, -y+1, z', '-x+1, y, z'], ['x, y, z', 'x, -y+2, z', '-x+1, -y+2, z', '-x+1, y, z']]]\"\n110,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-x, -y, z'], ['x, y, z', '-x, -y+1, z'], ['x, y, z', '-x, -y, z'], ['x, y, z', '-x, -y+1, z'], ['x, y, z', '-x+1, -y+1, z'], ['x, y, z', '-x+1, -y+2, z'], ['x, y, z', '-x+1, -y+1, z'], ['x, y, z', '-x+1, -y+2, z']]]\"\n111,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', 'y, x, z'], ['x, y, z', 'y, x, z'], ['x, y, z', '-y, -x, z'], ['x, y, z', '-y, -x, z']], [['x, y, z', '-x, -y+1, z'], ['x, y, z', '-x+1, -y, z'], ['x, y, z', '-x, -y+1, z'], ['x, y, z', '-x+1, -y, z']], [['x, y, z', 'x, -y+1, -z'], ['x, y, z', 'x, -y+1, -z'], ['x, y, z', '-x+1, y, -z'], ['x, y, z', '-x+1, y, -z']], [['x, y, z', 'x, -y, -z+1'], ['x, y, z', 'x, -y, -z+1'], ['x, y, z', '-x, y, -z+1'], ['x, y, z', '-x, y, -z+1']], [['x, y, z', 'x, -y+1, -z+1'], ['x, y, z', 'x, -y+1, -z+1'], ['x, y, z', '-x+1, y, -z+1'], ['x, y, z', '-x+1, y, -z+1']], [['x, y, z', 'x, -y, -z'], ['x, y, z', 'x, -y, -z'], ['x, y, z', '-x, y, -z'], ['x, y, z', '-x, y, -z']], [['x, y, z', '-x+1, -y+1, z', '-y+1, -x+1, z', 'y, x, z'], ['x, y, z', '-x+1, -y+1, z', '-y+1, -x+1, z', 'y, x, z']], [['x, y, z', '-x, -y, z', '-y, -x, z', 'y, x, z'], ['x, y, z', '-x, -y, z', '-y, -x, z', 'y, x, z']], [['x, y, z', '-x+1, -y, z', '-x+1, y, -z+1', 'x, -y, -z+1'], ['x, y, z', '-x, -y+1, z', '-x, y, -z+1', 'x, -y+1, -z+1']], [['x, y, z', '-x+1, -y, z', '-x+1, y, -z', 'x, -y, -z'], ['x, y, z', '-x, -y+1, z', '-x, y, -z', 'x, -y+1, -z']], [['x, y, z', '-x+1, -y+1, z', 'y, -x+1, -z', '-y+1, x, -z', '-x+1, y, -z', 'x, -y+1, -z', '-y+1, -x+1, z', 'y, x, z']], [['x, y, z', '-x, -y, z', 'y, -x, -z+1', '-y, x, -z+1', '-x, y, -z+1', 'x, -y, -z+1', '-y, -x, z', 'y, x, z']], [['x, y, z', '-x+1, -y+1, z', 'y, -x+1, -z+1', '-y+1, x, -z+1', '-x+1, y, -z+1', 'x, -y+1, -z+1', '-y+1, -x+1, z', 'y, x, z']], [['x, y, z', '-x, -y, z', 'y, -x, -z', '-y, x, -z', '-x, y, -z', 'x, -y, -z', '-y, -x, z', 'y, x, z']]]\"\n112,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-x, -y+1, z'], ['x, y, z', '-x+1, -y, z'], ['x, y, z', '-x, -y+1, z'], ['x, y, z', '-x+1, -y, z']], [['x, y, z', '-x+1, -y+1, z'], ['x, y, z', '-x+1, -y+1, z'], ['x, y, z', '-x+1, -y+1, z'], ['x, y, z', '-x+1, -y+1, z']], [['x, y, z', '-x, -y, z'], ['x, y, z', '-x, -y, z'], ['x, y, z', '-x, -y, z'], ['x, y, z', '-x, -y, z']], [['x, y, z', '-x, y, -z+1/2'], ['x, y, z', '-x, y, -z+1/2'], ['x, y, z', 'x, -y, -z+3/2'], ['x, y, z', 'x, -y, -z+3/2']], [['x, y, z', 'x, -y+1, -z+1/2'], ['x, y, z', 'x, -y+1, -z+1/2'], ['x, y, z', '-x+1, y, -z+3/2'], ['x, y, z', '-x+1, y, -z+3/2']], [['x, y, z', '-x+1, y, -z+1/2'], ['x, y, z', '-x+1, y, -z+1/2'], ['x, y, z', 'x, -y+1, -z+3/2'], ['x, y, z', 'x, -y+1, -z+3/2']], [['x, y, z', 'x, -y, -z+1/2'], ['x, y, z', 'x, -y, -z+1/2'], ['x, y, z', '-x, y, -z+3/2'], ['x, y, z', '-x, y, -z+3/2']], [['x, y, z', '-x+1, -y+1, z', 'y, -x+1, -z', '-y+1, x, -z'], ['x, y, z', '-x+1, -y+1, z', 'y, -x+1, -z+1', '-y+1, x, -z+1']], [['x, y, z', '-x, -y, z', 'y, -x, -z', '-y, x, -z'], ['x, y, z', '-x, -y, z', 'y, -x, -z+1', '-y, x, -z+1']], [['x, y, z', '-x, -y+1, z', '-x, y, -z+1/2', 'x, -y+1, -z+1/2'], ['x, y, z', '-x+1, -y, z', '-x+1, y, -z+3/2', 'x, -y, -z+3/2']], [['x, y, z', '-x+1, -y+1, z', '-x+1, y, -z+1/2', 'x, -y+1, -z+1/2'], ['x, y, z', '-x+1, -y+1, z', '-x+1, y, -z+3/2', 'x, -y+1, -z+3/2']], [['x, y, z', '-x+1, -y, z', '-x+1, y, -z+1/2', 'x, -y, -z+1/2'], ['x, y, z', '-x, -y+1, z', '-x, y, -z+3/2', 'x, -y+1, -z+3/2']], [['x, y, z', '-x, -y, z', '-x, y, -z+1/2', 'x, -y, -z+1/2'], ['x, y, z', '-x, -y, z', '-x, y, -z+3/2', 'x, -y, -z+3/2']]]\"\n113,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', 'y-1/2, x+1/2, z'], ['x, y, z', 'y-1/2, x+1/2, z'], ['x, y, z', '-y+1/2, -x+1/2, z'], ['x, y, z', '-y+1/2, -x+1/2, z']], [['x, y, z', '-x, -y, z'], ['x, y, z', '-x, -y, z'], ['x, y, z', '-x+1, -y+1, z'], ['x, y, z', '-x+1, -y+1, z']], [['x, y, z', '-x, -y+1, z', '-y+1/2, -x+1/2, z', 'y-1/2, x+1/2, z'], ['x, y, z', '-x+1, -y, z', '-y+1/2, -x+1/2, z', 'y+1/2, x-1/2, z']], [['x, y, z', '-x, -y, z', 'y, -x, -z+1', '-y, x, -z+1'], ['x, y, z', '-x+1, -y+1, z', 'y, -x+1, -z+1', '-y+1, x, -z+1']], [['x, y, z', '-x, -y, z', 'y, -x, -z', '-y, x, -z'], ['x, y, z', '-x+1, -y+1, z', 'y, -x+1, -z', '-y+1, x, -z']]]\"\n114,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-x, -y+1, z'], ['x, y, z', '-x+1, -y, z'], ['x, y, z', '-x+1, -y, z'], ['x, y, z', '-x, -y+1, z']], [['x, y, z', '-x, -y, z'], ['x, y, z', '-x, -y, z'], ['x, y, z', '-x+1, -y+1, z'], ['x, y, z', '-x+1, -y+1, z']], [['x, y, z', '-x, -y, z', 'y, -x, -z+1', '-y, x, -z+1'], ['x, y, z', '-x+1, -y+1, z', 'y, -x+1, -z', '-y+1, x, -z']], [['x, y, z', '-x, -y, z', 'y, -x, -z', '-y, x, -z'], ['x, y, z', '-x+1, -y+1, z', 'y, -x+1, -z+1', '-y+1, x, -z+1']]]\"\n115,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', 'x, -y+1, z'], ['x, y, z', 'x, -y+1, z'], ['x, y, z', '-x+1, y, z'], ['x, y, z', '-x+1, y, z']], [['x, y, z', 'x, -y, z'], ['x, y, z', 'x, -y, z'], ['x, y, z', '-x, y, z'], ['x, y, z', '-x, y, z']], [['x, y, z', 'y, x, -z+1'], ['x, y, z', 'y, x, -z+1'], ['x, y, z', '-y, -x, -z+1'], ['x, y, z', '-y, -x, -z+1']], [['x, y, z', 'y, x, -z'], ['x, y, z', 'y, x, -z'], ['x, y, z', '-y, -x, -z'], ['x, y, z', '-y, -x, -z']], [['x, y, z', '-x, -y+1, z', 'x, -y+1, z', '-x, y, z'], ['x, y, z', '-x+1, -y, z', 'x, -y, z', '-x+1, y, z']], [['x, y, z', '-x+1, -y+1, z', 'x, -y+1, z', '-x+1, y, z'], ['x, y, z', '-x+1, -y+1, z', 'x, -y+1, z', '-x+1, y, z']], [['x, y, z', '-x, -y, z', 'x, -y, z', '-x, y, z'], ['x, y, z', '-x, -y, z', 'x, -y, z', '-x, y, z']], [['x, y, z', '-x, -y, z', 'y, -x, -z+1', '-y, x, -z+1', 'x, -y, z', '-x, y, z', 'y, x, -z+1', '-y, -x, -z+1']], [['x, y, z', '-x+1, -y+1, z', 'y, -x+1, -z+1', '-y+1, x, -z+1', 'x, -y+1, z', '-x+1, y, z', 'y, x, -z+1', '-y+1, -x+1, -z+1']], [['x, y, z', '-x+1, -y+1, z', 'y, -x+1, -z', '-y+1, x, -z', 'x, -y+1, z', '-x+1, y, z', 'y, x, -z', '-y+1, -x+1, -z']], [['x, y, z', '-x, -y, z', 'y, -x, -z', '-y, x, -z', 'x, -y, z', '-x, y, z', 'y, x, -z', '-y, -x, -z']]]\"\n116,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-x, -y+1, z'], ['x, y, z', '-x+1, -y, z'], ['x, y, z', '-x, -y+1, z'], ['x, y, z', '-x+1, -y, z']], [['x, y, z', '-x+1, -y+1, z'], ['x, y, z', '-x+1, -y+1, z'], ['x, y, z', '-x+1, -y+1, z'], ['x, y, z', '-x+1, -y+1, z']], [['x, y, z', '-x, -y, z'], ['x, y, z', '-x, -y, z'], ['x, y, z', '-x, -y, z'], ['x, y, z', '-x, -y, z']], [['x, y, z', 'y, x, -z+3/2'], ['x, y, z', 'y, x, -z+3/2'], ['x, y, z', '-y, -x, -z+1/2'], ['x, y, z', '-y, -x, -z+1/2']], [['x, y, z', 'y, x, -z+1/2'], ['x, y, z', 'y, x, -z+1/2'], ['x, y, z', '-y, -x, -z+3/2'], ['x, y, z', '-y, -x, -z+3/2']], [['x, y, z', '-x+1, -y+1, z', 'y, -x+1, -z', '-y+1, x, -z'], ['x, y, z', '-x+1, -y+1, z', 'y, -x+1, -z+1', '-y+1, x, -z+1']], [['x, y, z', '-x, -y, z', 'y, -x, -z', '-y, x, -z'], ['x, y, z', '-x, -y, z', 'y, -x, -z+1', '-y, x, -z+1']], [['x, y, z', '-x+1, -y+1, z', 'y, x, -z+1/2', '-y+1, -x+1, -z+1/2'], ['x, y, z', '-x+1, -y+1, z', 'y, x, -z+3/2', '-y+1, -x+1, -z+3/2']], [['x, y, z', '-x, -y, z', 'y, x, -z+1/2', '-y, -x, -z+1/2'], ['x, y, z', '-x, -y, z', 'y, x, -z+3/2', '-y, -x, -z+3/2']]]\"\n117,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', 'y-1/2, x+1/2, -z+1'], ['x, y, z', 'y-1/2, x+1/2, -z+1'], ['x, y, z', '-y+1/2, -x+1/2, -z+1'], ['x, y, z', '-y+1/2, -x+1/2, -z+1']], [['x, y, z', 'y-1/2, x+1/2, -z'], ['x, y, z', 'y-1/2, x+1/2, -z'], ['x, y, z', '-y+1/2, -x+1/2, -z'], ['x, y, z', '-y+1/2, -x+1/2, -z']], [['x, y, z', '-x, -y+1, z'], ['x, y, z', '-x+1, -y, z'], ['x, y, z', '-x+1, -y, z'], ['x, y, z', '-x, -y+1, z']], [['x, y, z', '-x, -y, z'], ['x, y, z', '-x, -y, z'], ['x, y, z', '-x+1, -y+1, z'], ['x, y, z', '-x+1, -y+1, z']], [['x, y, z', '-x, -y+1, z', 'y-1/2, x+1/2, -z+1', '-y+1/2, -x+1/2, -z+1'], ['x, y, z', '-x+1, -y, z', 'y+1/2, x-1/2, -z+1', '-y+1/2, -x+1/2, -z+1']], [['x, y, z', '-x, -y+1, z', 'y-1/2, x+1/2, -z', '-y+1/2, -x+1/2, -z'], ['x, y, z', '-x+1, -y, z', 'y+1/2, x-1/2, -z', '-y+1/2, -x+1/2, -z']], [['x, y, z', '-x, -y, z', 'y, -x, -z+1', '-y, x, -z+1'], ['x, y, z', '-x+1, -y+1, z', 'y, -x+1, -z+1', '-y+1, x, -z+1']], [['x, y, z', '-x, -y, z', 'y, -x, -z', '-y, x, -z'], ['x, y, z', '-x+1, -y+1, z', 'y, -x+1, -z', '-y+1, x, -z']]]\"\n118,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-x, -y+1, z'], ['x, y, z', '-x+1, -y, z'], ['x, y, z', '-x+1, -y, z'], ['x, y, z', '-x, -y+1, z']], [['x, y, z', 'y-1/2, x+1/2, -z+1/2'], ['x, y, z', 'y-1/2, x+1/2, -z+1/2'], ['x, y, z', '-y+1/2, -x+1/2, -z+3/2'], ['x, y, z', '-y+1/2, -x+1/2, -z+3/2']], [['x, y, z', '-y+1/2, -x+1/2, -z+1/2'], ['x, y, z', '-y+1/2, -x+1/2, -z+1/2'], ['x, y, z', 'y+1/2, x-1/2, -z+3/2'], ['x, y, z', 'y+1/2, x-1/2, -z+3/2']], [['x, y, z', '-x, -y, z'], ['x, y, z', '-x, -y, z'], ['x, y, z', '-x+1, -y+1, z'], ['x, y, z', '-x+1, -y+1, z']], [['x, y, z', '-x, -y+1, z', 'y-1/2, x+1/2, -z+3/2', '-y+1/2, -x+1/2, -z+3/2'], ['x, y, z', '-x+1, -y, z', 'y+1/2, x-1/2, -z+1/2', '-y+1/2, -x+1/2, -z+1/2']], [['x, y, z', '-x, -y+1, z', 'y-1/2, x+1/2, -z+1/2', '-y+1/2, -x+1/2, -z+1/2'], ['x, y, z', '-x+1, -y, z', 'y+1/2, x-1/2, -z+3/2', '-y+1/2, -x+1/2, -z+3/2']], [['x, y, z', '-x, -y, z', 'y, -x, -z+1', '-y, x, -z+1'], ['x, y, z', '-x+1, -y+1, z', 'y, -x+1, -z', '-y+1, x, -z']], [['x, y, z', '-x, -y, z', 'y, -x, -z', '-y, x, -z'], ['x, y, z', '-x+1, -y+1, z', 'y, -x+1, -z+1', '-y+1, x, -z+1']]]\"\n119,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', 'x, -y, z'], ['x, y, z', 'x, -y, z'], ['x, y, z', '-x, y, z'], ['x, y, z', '-x, y, z'], ['x, y, z', 'x, -y+1, z'], ['x, y, z', 'x, -y+1, z'], ['x, y, z', '-x+1, y, z'], ['x, y, z', '-x+1, y, z']], [['x, y, z', 'y-1/2, x+1/2, -z+1/2'], ['x, y, z', 'y-1/2, x+1/2, -z+1/2'], ['x, y, z', '-y+1/2, -x+1/2, -z+3/2'], ['x, y, z', '-y+1/2, -x+1/2, -z+3/2'], ['x, y, z', 'y-1/2, x+1/2, -z+3/2'], ['x, y, z', 'y-1/2, x+1/2, -z+3/2'], ['x, y, z', '-y+3/2, -x+3/2, -z+5/2'], ['x, y, z', '-y+3/2, -x+3/2, -z+5/2']], [['x, y, z', 'y, x, -z'], ['x, y, z', 'y, x, -z'], ['x, y, z', '-y, -x, -z'], ['x, y, z', '-y, -x, -z'], ['x, y, z', 'y, x, -z+1'], ['x, y, z', 'y, x, -z+1'], ['x, y, z', '-y+1, -x+1, -z+1'], ['x, y, z', '-y+1, -x+1, -z+1']], [['x, y, z', '-x, -y+1, z', 'x, -y+1, z', '-x, y, z'], ['x, y, z', '-x+1, -y, z', 'x, -y, z', '-x+1, y, z'], ['x, y, z', '-x+1, -y+2, z', 'x, -y+2, z', '-x+1, y, z'], ['x, y, z', '-x+2, -y+1, z', 'x, -y+1, z', '-x+2, y, z']], [['x, y, z', '-x, -y, z', 'x, -y, z', '-x, y, z'], ['x, y, z', '-x, -y, z', 'x, -y, z', '-x, y, z'], ['x, y, z', '-x+1, -y+1, z', 'x, -y+1, z', '-x+1, y, z'], ['x, y, z', '-x+1, -y+1, z', 'x, -y+1, z', '-x+1, y, z']], [['x, y, z', '-x, -y+1, z', 'x, -y+1, z', '-x, y, z', 'y-1/2, -x+1/2, -z+3/2', '-y+1/2, x+1/2, -z+3/2', 'y-1/2, x+1/2, -z+3/2', '-y+1/2, -x+1/2, -z+3/2'], ['x, y, z', '-x+1, -y+2, z', 'x, -y+2, z', '-x+1, y, z', 'y-1/2, -x+3/2, -z+5/2', '-y+3/2, x+1/2, -z+5/2', 'y-1/2, x+1/2, -z+5/2', '-y+3/2, -x+3/2, -z+5/2']], [['x, y, z', '-x, -y+1, z', 'x, -y+1, z', '-x, y, z', 'y-1/2, -x+1/2, -z+1/2', '-y+1/2, x+1/2, -z+1/2', 'y-1/2, x+1/2, -z+1/2', '-y+1/2, -x+1/2, -z+1/2'], ['x, y, z', '-x+1, -y+2, z', 'x, -y+2, z', '-x+1, y, z', 'y-1/2, -x+3/2, -z+3/2', '-y+3/2, x+1/2, -z+3/2', 'y-1/2, x+1/2, -z+3/2', '-y+3/2, -x+3/2, -z+3/2']], [['x, y, z', '-x, -y, z', 'y, -x, -z+1', '-y, x, -z+1', 'x, -y, z', '-x, y, z', 'y, x, -z+1', '-y, -x, -z+1'], ['x, y, z', '-x+1, -y+1, z', 'y, -x+1, -z+2', '-y+1, x, -z+2', 'x, -y+1, z', '-x+1, y, z', 'y, x, -z+2', '-y+1, -x+1, -z+2']], [['x, y, z', '-x, -y, z', 'y, -x, -z', '-y, x, -z', 'x, -y, z', '-x, y, z', 'y, x, -z', '-y, -x, -z'], ['x, y, z', '-x+1, -y+1, z', 'y, -x+1, -z+1', '-y+1, x, -z+1', 'x, -y+1, z', '-x+1, y, z', 'y, x, -z+1', '-y+1, -x+1, -z+1']]]\"\n120,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', 'y-1/2, x+1/2, -z'], ['x, y, z', 'y-1/2, x+1/2, -z'], ['x, y, z', '-y+1/2, -x+1/2, -z'], ['x, y, z', '-y+1/2, -x+1/2, -z'], ['x, y, z', 'y-1/2, x+1/2, -z+1'], ['x, y, z', 'y-1/2, x+1/2, -z+1'], ['x, y, z', '-y+3/2, -x+3/2, -z+1'], ['x, y, z', '-y+3/2, -x+3/2, -z+1']], [['x, y, z', '-x, -y+1, z'], ['x, y, z', '-x+1, -y, z'], ['x, y, z', '-x, -y+1, z'], ['x, y, z', '-x+1, -y, z'], ['x, y, z', '-x+1, -y+2, z'], ['x, y, z', '-x+2, -y+1, z'], ['x, y, z', '-x+1, -y+2, z'], ['x, y, z', '-x+2, -y+1, z']], [['x, y, z', '-x, -y, z'], ['x, y, z', '-x, -y, z'], ['x, y, z', '-x, -y, z'], ['x, y, z', '-x, -y, z'], ['x, y, z', '-x+1, -y+1, z'], ['x, y, z', '-x+1, -y+1, z'], ['x, y, z', '-x+1, -y+1, z'], ['x, y, z', '-x+1, -y+1, z']], [['x, y, z', 'y, x, -z+1/2'], ['x, y, z', 'y, x, -z+1/2'], ['x, y, z', '-y, -x, -z+3/2'], ['x, y, z', '-y, -x, -z+3/2'], ['x, y, z', 'y, x, -z+3/2'], ['x, y, z', 'y, x, -z+3/2'], ['x, y, z', '-y+1, -x+1, -z+5/2'], ['x, y, z', '-y+1, -x+1, -z+5/2']], [['x, y, z', '-x, -y+1, z', 'y-1/2, x+1/2, -z', '-y+1/2, -x+1/2, -z'], ['x, y, z', '-x+1, -y, z', 'y+1/2, x-1/2, -z', '-y+1/2, -x+1/2, -z'], ['x, y, z', '-x+1, -y+2, z', 'y-1/2, x+1/2, -z+1', '-y+3/2, -x+3/2, -z+1'], ['x, y, z', '-x+2, -y+1, z', 'y+1/2, x-1/2, -z+1', '-y+3/2, -x+3/2, -z+1']], [['x, y, z', '-x, -y+1, z', 'y-1/2, -x+1/2, -z+1/2', '-y+1/2, x+1/2, -z+1/2'], ['x, y, z', '-x, -y+1, z', 'y-1/2, -x+1/2, -z+3/2', '-y+1/2, x+1/2, -z+3/2'], ['x, y, z', '-x+1, -y+2, z', 'y-1/2, -x+3/2, -z+3/2', '-y+3/2, x+1/2, -z+3/2'], ['x, y, z', '-x+1, -y+2, z', 'y-1/2, -x+3/2, -z+5/2', '-y+3/2, x+1/2, -z+5/2']], [['x, y, z', '-x, -y, z', 'y, -x, -z', '-y, x, -z'], ['x, y, z', '-x, -y, z', 'y, -x, -z+1', '-y, x, -z+1'], ['x, y, z', '-x+1, -y+1, z', 'y, -x+1, -z+1', '-y+1, x, -z+1'], ['x, y, z', '-x+1, -y+1, z', 'y, -x+1, -z+2', '-y+1, x, -z+2']], [['x, y, z', '-x, -y, z', 'y, x, -z+1/2', '-y, -x, -z+1/2'], ['x, y, z', '-x, -y, z', 'y, x, -z+3/2', '-y, -x, -z+3/2'], ['x, y, z', '-x+1, -y+1, z', 'y, x, -z+3/2', '-y+1, -x+1, -z+3/2'], ['x, y, z', '-x+1, -y+1, z', 'y, x, -z+5/2', '-y+1, -x+1, -z+5/2']]]\"\n121,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', 'y, x, z'], ['x, y, z', 'y, x, z'], ['x, y, z', '-y, -x, z'], ['x, y, z', '-y, -x, z'], ['x, y, z', 'y, x, z'], ['x, y, z', 'y, x, z'], ['x, y, z', '-y+1, -x+1, z'], ['x, y, z', '-y+1, -x+1, z']], [['x, y, z', '-x, -y+1, z'], ['x, y, z', '-x+1, -y, z'], ['x, y, z', '-x, -y+1, z'], ['x, y, z', '-x+1, -y, z'], ['x, y, z', '-x+1, -y+2, z'], ['x, y, z', '-x+2, -y+1, z'], ['x, y, z', '-x+1, -y+2, z'], ['x, y, z', '-x+2, -y+1, z']], [['x, y, z', 'x, -y, -z+1'], ['x, y, z', 'x, -y, -z+1'], ['x, y, z', '-x, y, -z+1'], ['x, y, z', '-x, y, -z+1'], ['x, y, z', 'x, -y+1, -z+2'], ['x, y, z', 'x, -y+1, -z+2'], ['x, y, z', '-x+1, y, -z+2'], ['x, y, z', '-x+1, y, -z+2']], [['x, y, z', 'x, -y, -z'], ['x, y, z', 'x, -y, -z'], ['x, y, z', '-x, y, -z'], ['x, y, z', '-x, y, -z'], ['x, y, z', 'x, -y+1, -z+1'], ['x, y, z', 'x, -y+1, -z+1'], ['x, y, z', '-x+1, y, -z+1'], ['x, y, z', '-x+1, y, -z+1']], [['x, y, z', '-x, -y, z', '-y, -x, z', 'y, x, z'], ['x, y, z', '-x, -y, z', '-y, -x, z', 'y, x, z'], ['x, y, z', '-x+1, -y+1, z', '-y+1, -x+1, z', 'y, x, z'], ['x, y, z', '-x+1, -y+1, z', '-y+1, -x+1, z', 'y, x, z']], [['x, y, z', '-x, -y+1, z', 'y-1/2, -x+1/2, -z+1/2', '-y+1/2, x+1/2, -z+1/2'], ['x, y, z', '-x, -y+1, z', 'y-1/2, -x+1/2, -z+3/2', '-y+1/2, x+1/2, -z+3/2'], ['x, y, z', '-x+1, -y+2, z', 'y-1/2, -x+3/2, -z+3/2', '-y+3/2, x+1/2, -z+3/2'], ['x, y, z', '-x+1, -y+2, z', 'y-1/2, -x+3/2, -z+5/2', '-y+3/2, x+1/2, -z+5/2']], [['x, y, z', '-x, -y+1, z', '-x, y, -z', 'x, -y+1, -z'], ['x, y, z', '-x+1, -y, z', '-x+1, y, -z', 'x, -y, -z'], ['x, y, z', '-x+1, -y+2, z', '-x+1, y, -z+1', 'x, -y+2, -z+1'], ['x, y, z', '-x+2, -y+1, z', '-x+2, y, -z+1', 'x, -y+1, -z+1']], [['x, y, z', '-x, -y, z', 'y, -x, -z+1', '-y, x, -z+1', '-x, y, -z+1', 'x, -y, -z+1', '-y, -x, z', 'y, x, z'], ['x, y, z', '-x+1, -y+1, z', 'y, -x+1, -z+2', '-y+1, x, -z+2', '-x+1, y, -z+2', 'x, -y+1, -z+2', '-y+1, -x+1, z', 'y, x, z']], [['x, y, z', '-x, -y, z', 'y, -x, -z', '-y, x, -z', '-x, y, -z', 'x, -y, -z', '-y, -x, z', 'y, x, z'], ['x, y, z', '-x+1, -y+1, z', 'y, -x+1, -z+1', '-y+1, x, -z+1', '-x+1, y, -z+1', 'x, -y+1, -z+1', '-y+1, -x+1, z', 'y, x, z']]]\"\n122,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', 'x, -y+1/2, -z+1/4'], ['x, y, z', 'x, -y+3/2, -z+1/4'], ['x, y, z', '-x+1/2, y, -z+7/4'], ['x, y, z', '-x+3/2, y, -z+7/4'], ['x, y, z', 'x, -y+3/2, -z+5/4'], ['x, y, z', 'x, -y+5/2, -z+5/4'], ['x, y, z', '-x+3/2, y, -z+11/4'], ['x, y, z', '-x+5/2, y, -z+11/4']], [['x, y, z', '-x, -y, z'], ['x, y, z', '-x, -y, z'], ['x, y, z', '-x+1, -y, z'], ['x, y, z', '-x+1, -y, z'], ['x, y, z', '-x+1, -y+1, z'], ['x, y, z', '-x+1, -y+1, z'], ['x, y, z', '-x+2, -y+1, z'], ['x, y, z', '-x+2, -y+1, z']], [['x, y, z', '-x, -y, z', 'y, -x, -z+1', '-y, x, -z+1'], ['x, y, z', '-x+1, -y, z', 'y+1/2, -x+1/2, -z+1/2', '-y+1/2, x-1/2, -z+1/2'], ['x, y, z', '-x+1, -y+1, z', 'y, -x+1, -z+2', '-y+1, x, -z+2'], ['x, y, z', '-x+2, -y+1, z', 'y+1/2, -x+3/2, -z+3/2', '-y+3/2, x-1/2, -z+3/2']], [['x, y, z', '-x, -y, z', 'y, -x, -z', '-y, x, -z'], ['x, y, z', '-x+1, -y, z', 'y+1/2, -x+1/2, -z+3/2', '-y+1/2, x-1/2, -z+3/2'], ['x, y, z', '-x+1, -y+1, z', 'y, -x+1, -z+1', '-y+1, x, -z+1'], ['x, y, z', '-x+2, -y+1, z', 'y+1/2, -x+3/2, -z+5/2', '-y+3/2, x-1/2, -z+5/2']]]\"\n123,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', 'x, -y+1, z'], ['x, y, z', 'x, -y+1, z'], ['x, y, z', '-x+1, y, z'], ['x, y, z', '-x+1, y, z'], ['x, y, z', 'x, -y+1, z'], ['x, y, z', 'x, -y+1, z'], ['x, y, z', '-x+1, y, z'], ['x, y, z', '-x+1, y, z']], [['x, y, z', 'x, -y, z'], ['x, y, z', 'x, -y, z'], ['x, y, z', '-x, y, z'], ['x, y, z', '-x, y, z'], ['x, y, z', 'x, -y, z'], ['x, y, z', 'x, -y, z'], ['x, y, z', '-x, y, z'], ['x, y, z', '-x, y, z']], [['x, y, z', 'y, x, z'], ['x, y, z', 'y, x, z'], ['x, y, z', '-y, -x, z'], ['x, y, z', '-y, -x, z'], ['x, y, z', '-y, -x, z'], ['x, y, z', '-y, -x, z'], ['x, y, z', 'y, x, z'], ['x, y, z', 'y, x, z']], [['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1']], [['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z']], [['x, y, z', 'x, -y+1, -z+1', 'x, y, -z+1', 'x, -y+1, z'], ['x, y, z', 'x, -y+1, -z+1', 'x, y, -z+1', 'x, -y+1, z'], ['x, y, z', '-x+1, y, -z+1', 'x, y, -z+1', '-x+1, y, z'], ['x, y, z', '-x+1, y, -z+1', 'x, y, -z+1', '-x+1, y, z']], [['x, y, z', 'x, -y+1, -z', 'x, y, -z', 'x, -y+1, z'], ['x, y, z', 'x, -y+1, -z', 'x, y, -z', 'x, -y+1, z'], ['x, y, z', '-x+1, y, -z', 'x, y, -z', '-x+1, y, z'], ['x, y, z', '-x+1, y, -z', 'x, y, -z', '-x+1, y, z']], [['x, y, z', 'x, -y, -z+1', 'x, y, -z+1', 'x, -y, z'], ['x, y, z', 'x, -y, -z+1', 'x, y, -z+1', 'x, -y, z'], ['x, y, z', '-x, y, -z+1', 'x, y, -z+1', '-x, y, z'], ['x, y, z', '-x, y, -z+1', 'x, y, -z+1', '-x, y, z']], [['x, y, z', 'x, -y, -z', 'x, y, -z', 'x, -y, z'], ['x, y, z', 'x, -y, -z', 'x, y, -z', 'x, -y, z'], ['x, y, z', '-x, y, -z', 'x, y, -z', '-x, y, z'], ['x, y, z', '-x, y, -z', 'x, y, -z', '-x, y, z']], [['x, y, z', 'y, x, -z+1', 'x, y, -z+1', 'y, x, z'], ['x, y, z', 'y, x, -z+1', 'x, y, -z+1', 'y, x, z'], ['x, y, z', '-y, -x, -z+1', 'x, y, -z+1', '-y, -x, z'], ['x, y, z', '-y, -x, -z+1', 'x, y, -z+1', '-y, -x, z']], [['x, y, z', 'y, x, -z', 'x, y, -z', 'y, x, z'], ['x, y, z', 'y, x, -z', 'x, y, -z', 'y, x, z'], ['x, y, z', '-y, -x, -z', 'x, y, -z', '-y, -x, z'], ['x, y, z', '-y, -x, -z', 'x, y, -z', '-y, -x, z']], [['x, y, z', '-x, -y+1, z', 'x, -y+1, z', '-x, y, z'], ['x, y, z', '-x+1, -y, z', 'x, -y, z', '-x+1, y, z'], ['x, y, z', '-x, -y+1, z', 'x, -y+1, z', '-x, y, z'], ['x, y, z', '-x+1, -y, z', 'x, -y, z', '-x+1, y, z']], [['x, y, z', '-x+1, -y+1, z', '-y+1, x, z', 'y, -x+1, z', 'x, -y+1, z', '-x+1, y, z', '-y+1, -x+1, z', 'y, x, z'], ['x, y, z', '-x+1, -y+1, z', '-y+1, x, z', 'y, -x+1, z', 'x, -y+1, z', '-x+1, y, z', '-y+1, -x+1, z', 'y, x, z']], [['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z', 'x, -y, z', '-x, y, z', '-y, -x, z', 'y, x, z'], ['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z', 'x, -y, z', '-x, y, z', '-y, -x, z', 'y, x, z']], [['x, y, z', '-x, -y+1, z', '-x, y, -z', 'x, -y+1, -z', '-x, -y+1, -z', 'x, y, -z', 'x, -y+1, z', '-x, y, z'], ['x, y, z', '-x+1, -y, z', '-x+1, y, -z', 'x, -y, -z', '-x+1, -y, -z', 'x, y, -z', 'x, -y, z', '-x+1, y, z']], [['x, y, z', '-x, -y+1, z', '-x, y, -z+1', 'x, -y+1, -z+1', '-x, -y+1, -z+1', 'x, y, -z+1', 'x, -y+1, z', '-x, y, z'], ['x, y, z', '-x+1, -y, z', '-x+1, y, -z+1', 'x, -y, -z+1', '-x+1, -y, -z+1', 'x, y, -z+1', 'x, -y, z', '-x+1, y, z']], [['x, y, z', '-x+1, -y+1, z', '-y+1, x, z', 'y, -x+1, z', '-x+1, y, -z+1', 'x, -y+1, -z+1', 'y, x, -z+1', '-y+1, -x+1, -z+1', '-x+1, -y+1, -z+1', 'x, y, -z+1', 'y, -x+1, -z+1', '-y+1, x, -z+1', 'x, -y+1, z', '-x+1, y, z', '-y+1, -x+1, z', 'y, x, z']], [['x, y, z', '-x+1, -y+1, z', '-y+1, x, z', 'y, -x+1, z', '-x+1, y, -z', 'x, -y+1, -z', 'y, x, -z', '-y+1, -x+1, -z', '-x+1, -y+1, -z', 'x, y, -z', 'y, -x+1, -z', '-y+1, x, -z', 'x, -y+1, z', '-x+1, y, z', '-y+1, -x+1, z', 'y, x, z']], [['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z', '-x, y, -z+1', 'x, -y, -z+1', 'y, x, -z+1', '-y, -x, -z+1', '-x, -y, -z+1', 'x, y, -z+1', 'y, -x, -z+1', '-y, x, -z+1', 'x, -y, z', '-x, y, z', '-y, -x, z', 'y, x, z']], [['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z', '-x, y, -z', 'x, -y, -z', 'y, x, -z', '-y, -x, -z', '-x, -y, -z', 'x, y, -z', 'y, -x, -z', '-y, x, -z', 'x, -y, z', '-x, y, z', '-y, -x, z', 'y, x, z']]]\"\n124,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1']], [['x, y, z', 'x, -y+1, -z+1/2'], ['x, y, z', 'x, -y+1, -z+1/2'], ['x, y, z', '-x+1, y, -z+1/2'], ['x, y, z', '-x+1, y, -z+1/2'], ['x, y, z', 'x, -y+1, -z+3/2'], ['x, y, z', 'x, -y+1, -z+3/2'], ['x, y, z', '-x+1, y, -z+3/2'], ['x, y, z', '-x+1, y, -z+3/2']], [['x, y, z', 'x, -y, -z+1/2'], ['x, y, z', 'x, -y, -z+1/2'], ['x, y, z', '-x, y, -z+1/2'], ['x, y, z', '-x, y, -z+1/2'], ['x, y, z', 'x, -y, -z+3/2'], ['x, y, z', 'x, -y, -z+3/2'], ['x, y, z', '-x, y, -z+3/2'], ['x, y, z', '-x, y, -z+3/2']], [['x, y, z', 'y, x, -z+1/2'], ['x, y, z', 'y, x, -z+1/2'], ['x, y, z', '-y, -x, -z+1/2'], ['x, y, z', '-y, -x, -z+1/2'], ['x, y, z', 'y, x, -z+3/2'], ['x, y, z', 'y, x, -z+3/2'], ['x, y, z', '-y, -x, -z+3/2'], ['x, y, z', '-y, -x, -z+3/2']], [['x, y, z', '-x, -y+1, z'], ['x, y, z', '-x+1, -y, z'], ['x, y, z', '-x, -y+1, z'], ['x, y, z', '-x+1, -y, z'], ['x, y, z', '-x, -y+1, z'], ['x, y, z', '-x+1, -y, z'], ['x, y, z', '-x, -y+1, z'], ['x, y, z', '-x+1, -y, z']], [['x, y, z', '-x+1, -y+1, z', '-y+1, x, z', 'y, -x+1, z'], ['x, y, z', '-x+1, -y+1, z', '-y+1, x, z', 'y, -x+1, z'], ['x, y, z', '-x+1, -y+1, z', '-y+1, x, z', 'y, -x+1, z'], ['x, y, z', '-x+1, -y+1, z', '-y+1, x, z', 'y, -x+1, z']], [['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z'], ['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z'], ['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z'], ['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z']], [['x, y, z', '-x, -y+1, z', '-x, y, -z+1/2', 'x, -y+1, -z+1/2'], ['x, y, z', '-x+1, -y, z', '-x+1, y, -z+1/2', 'x, -y, -z+1/2'], ['x, y, z', '-x, -y+1, z', '-x, y, -z+3/2', 'x, -y+1, -z+3/2'], ['x, y, z', '-x+1, -y, z', '-x+1, y, -z+3/2', 'x, -y, -z+3/2']], [['x, y, z', '-x, -y+1, z', '-x, -y+1, -z', 'x, y, -z'], ['x, y, z', '-x+1, -y, z', '-x+1, -y, -z', 'x, y, -z'], ['x, y, z', '-x, -y+1, z', '-x, -y+1, -z+1', 'x, y, -z+1'], ['x, y, z', '-x+1, -y, z', '-x+1, -y, -z+1', 'x, y, -z+1']], [['x, y, z', '-x+1, -y+1, z', '-y+1, x, z', 'y, -x+1, z', '-x+1, -y+1, -z', 'x, y, -z', 'y, -x+1, -z', '-y+1, x, -z'], ['x, y, z', '-x+1, -y+1, z', '-y+1, x, z', 'y, -x+1, z', '-x+1, -y+1, -z+1', 'x, y, -z+1', 'y, -x+1, -z+1', '-y+1, x, -z+1']], [['x, y, z', '-x+1, -y+1, z', '-y+1, x, z', 'y, -x+1, z', '-x+1, y, -z+1/2', 'x, -y+1, -z+1/2', 'y, x, -z+1/2', '-y+1, -x+1, -z+1/2'], ['x, y, z', '-x+1, -y+1, z', '-y+1, x, z', 'y, -x+1, z', '-x+1, y, -z+3/2', 'x, -y+1, -z+3/2', 'y, x, -z+3/2', '-y+1, -x+1, -z+3/2']], [['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z', '-x, -y, -z', 'x, y, -z', 'y, -x, -z', '-y, x, -z'], ['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z', '-x, -y, -z+1', 'x, y, -z+1', 'y, -x, -z+1', '-y, x, -z+1']], [['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z', '-x, y, -z+1/2', 'x, -y, -z+1/2', 'y, x, -z+1/2', '-y, -x, -z+1/2'], ['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z', '-x, y, -z+3/2', 'x, -y, -z+3/2', 'y, x, -z+3/2', '-y, -x, -z+3/2']]]\"\n125,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-y, -x, z'], ['x, y, z', '-y+1, -x+1, z'], ['x, y, z', 'y+1/2, x-1/2, z'], ['x, y, z', 'y-1/2, x+1/2, z'], ['x, y, z', 'y+1/2, x-1/2, z'], ['x, y, z', 'y-1/2, x+1/2, z'], ['x, y, z', '-y, -x, z'], ['x, y, z', '-y+1, -x+1, z']], [['x, y, z', 'x, -y+1/2, -z+1'], ['x, y, z', 'x, -y+1/2, -z+1'], ['x, y, z', '-x+1/2, y, -z+1'], ['x, y, z', '-x+1/2, y, -z+1'], ['x, y, z', 'x, -y+3/2, -z+1'], ['x, y, z', 'x, -y+3/2, -z+1'], ['x, y, z', '-x+3/2, y, -z+1'], ['x, y, z', '-x+3/2, y, -z+1']], [['x, y, z', 'x, -y+1/2, -z'], ['x, y, z', 'x, -y+1/2, -z'], ['x, y, z', '-x+1/2, y, -z'], ['x, y, z', '-x+1/2, y, -z'], ['x, y, z', 'x, -y+3/2, -z'], ['x, y, z', 'x, -y+3/2, -z'], ['x, y, z', '-x+3/2, y, -z'], ['x, y, z', '-x+3/2, y, -z']], [['x, y, z', 'y, x, -z+1'], ['x, y, z', 'y, x, -z+1'], ['x, y, z', '-y+1/2, -x+1/2, -z+1'], ['x, y, z', '-y+1/2, -x+1/2, -z+1'], ['x, y, z', 'y, x, -z+1'], ['x, y, z', 'y, x, -z+1'], ['x, y, z', '-y+1/2, -x+1/2, -z+1'], ['x, y, z', '-y+1/2, -x+1/2, -z+1']], [['x, y, z', 'y, x, -z'], ['x, y, z', 'y, x, -z'], ['x, y, z', '-y+1/2, -x+1/2, -z'], ['x, y, z', '-y+1/2, -x+1/2, -z'], ['x, y, z', 'y, x, -z'], ['x, y, z', 'y, x, -z'], ['x, y, z', '-y+1/2, -x+1/2, -z'], ['x, y, z', '-y+1/2, -x+1/2, -z']], [['x, y, z', '-x+3/2, -y+1/2, z', '-y+1, -x+1, z', 'y+1/2, x-1/2, z'], ['x, y, z', '-x+1/2, -y+3/2, z', '-y+1, -x+1, z', 'y-1/2, x+1/2, z'], ['x, y, z', '-x+3/2, -y+1/2, z', '-y+1, -x+1, z', 'y+1/2, x-1/2, z'], ['x, y, z', '-x+1/2, -y+3/2, z', '-y+1, -x+1, z', 'y-1/2, x+1/2, z']], [['x, y, z', '-x+1/2, -y+1/2, z', '-y+1/2, x, z', 'y, -x+1/2, z'], ['x, y, z', '-x+1/2, -y+1/2, z', '-y+1/2, x, z', 'y, -x+1/2, z'], ['x, y, z', '-x+3/2, -y+3/2, z', '-y+3/2, x, z', 'y, -x+3/2, z'], ['x, y, z', '-x+3/2, -y+3/2, z', '-y+3/2, x, z', 'y, -x+3/2, z']], [['x, y, z', 'y, x, -z+1', '-x, -y, -z+1', '-y, -x, z'], ['x, y, z', 'y, x, -z+1', '-x+1, -y+1, -z+1', '-y+1, -x+1, z'], ['x, y, z', '-y+1/2, -x+1/2, -z+1', '-x+1, -y, -z+1', 'y+1/2, x-1/2, z'], ['x, y, z', '-y+1/2, -x+1/2, -z+1', '-x, -y+1, -z+1', 'y-1/2, x+1/2, z']], [['x, y, z', 'y, x, -z', '-x, -y, -z', '-y, -x, z'], ['x, y, z', 'y, x, -z', '-x+1, -y+1, -z', '-y+1, -x+1, z'], ['x, y, z', '-y+1/2, -x+1/2, -z', '-x+1, -y, -z', 'y+1/2, x-1/2, z'], ['x, y, z', '-y+1/2, -x+1/2, -z', '-x, -y+1, -z', 'y-1/2, x+1/2, z']], [['x, y, z', '-x+3/2, -y+1/2, z', '-x+3/2, y, -z+1', 'x, -y+1/2, -z+1', 'y+1/2, -x+1, -z+1', '-y+1, x-1/2, -z+1', '-y+1, -x+1, z', 'y+1/2, x-1/2, z'], ['x, y, z', '-x+1/2, -y+3/2, z', '-x+1/2, y, -z+1', 'x, -y+3/2, -z+1', 'y-1/2, -x+1, -z+1', '-y+1, x+1/2, -z+1', '-y+1, -x+1, z', 'y-1/2, x+1/2, z']], [['x, y, z', '-x+3/2, -y+1/2, z', '-x+3/2, y, -z', 'x, -y+1/2, -z', 'y+1/2, -x+1, -z', '-y+1, x-1/2, -z', '-y+1, -x+1, z', 'y+1/2, x-1/2, z'], ['x, y, z', '-x+1/2, -y+3/2, z', '-x+1/2, y, -z', 'x, -y+3/2, -z', 'y-1/2, -x+1, -z', '-y+1, x+1/2, -z', '-y+1, -x+1, z', 'y-1/2, x+1/2, z']], [['x, y, z', '-x+1/2, -y+1/2, z', '-y+1/2, x, z', 'y, -x+1/2, z', '-x+1/2, y, -z+1', 'x, -y+1/2, -z+1', 'y, x, -z+1', '-y+1/2, -x+1/2, -z+1'], ['x, y, z', '-x+3/2, -y+3/2, z', '-y+3/2, x, z', 'y, -x+3/2, z', '-x+3/2, y, -z+1', 'x, -y+3/2, -z+1', 'y, x, -z+1', '-y+3/2, -x+3/2, -z+1']], [['x, y, z', '-x+1/2, -y+1/2, z', '-y+1/2, x, z', 'y, -x+1/2, z', '-x+1/2, y, -z', 'x, -y+1/2, -z', 'y, x, -z', '-y+1/2, -x+1/2, -z'], ['x, y, z', '-x+3/2, -y+3/2, z', '-y+3/2, x, z', 'y, -x+3/2, z', '-x+3/2, y, -z', 'x, -y+3/2, -z', 'y, x, -z', '-y+3/2, -x+3/2, -z']]]\"\n126,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', 'x, -y+3/2, -z+1/2'], ['x, y, z', 'x, -y+3/2, -z+1/2'], ['x, y, z', '-x+3/2, y, -z+1/2'], ['x, y, z', '-x+3/2, y, -z+1/2'], ['x, y, z', 'x, -y+1/2, -z+3/2'], ['x, y, z', 'x, -y+1/2, -z+3/2'], ['x, y, z', '-x+1/2, y, -z+3/2'], ['x, y, z', '-x+1/2, y, -z+3/2']], [['x, y, z', 'x, -y+1/2, -z+1/2'], ['x, y, z', 'x, -y+1/2, -z+1/2'], ['x, y, z', '-x+1/2, y, -z+1/2'], ['x, y, z', '-x+1/2, y, -z+1/2'], ['x, y, z', 'x, -y+3/2, -z+3/2'], ['x, y, z', 'x, -y+3/2, -z+3/2'], ['x, y, z', '-x+3/2, y, -z+3/2'], ['x, y, z', '-x+3/2, y, -z+3/2']], [['x, y, z', 'y, x, -z+1/2'], ['x, y, z', 'y, x, -z+1/2'], ['x, y, z', '-y+1/2, -x+1/2, -z+1/2'], ['x, y, z', '-y+1/2, -x+1/2, -z+1/2'], ['x, y, z', 'y, x, -z+3/2'], ['x, y, z', 'y, x, -z+3/2'], ['x, y, z', '-y+1/2, -x+1/2, -z+3/2'], ['x, y, z', '-y+1/2, -x+1/2, -z+3/2']], [['x, y, z', '-x+1/2, -y+3/2, z'], ['x, y, z', '-x+3/2, -y+1/2, z'], ['x, y, z', '-x+1/2, -y+3/2, z'], ['x, y, z', '-x+3/2, -y+1/2, z'], ['x, y, z', '-x+3/2, -y+1/2, z'], ['x, y, z', '-x+1/2, -y+3/2, z'], ['x, y, z', '-x+3/2, -y+1/2, z'], ['x, y, z', '-x+1/2, -y+3/2, z']], [['x, y, z', '-x, -y, -z'], ['x, y, z', '-x+1, -y+1, -z'], ['x, y, z', '-x+1, -y, -z'], ['x, y, z', '-x, -y+1, -z'], ['x, y, z', '-x+1, -y, -z+1'], ['x, y, z', '-x, -y+1, -z+1'], ['x, y, z', '-x, -y, -z+1'], ['x, y, z', '-x+1, -y+1, -z+1']], [['x, y, z', '-x+1/2, -y+1/2, z', '-y+1/2, x, z', 'y, -x+1/2, z'], ['x, y, z', '-x+1/2, -y+1/2, z', '-y+1/2, x, z', 'y, -x+1/2, z'], ['x, y, z', '-x+3/2, -y+3/2, z', '-y+3/2, x, z', 'y, -x+3/2, z'], ['x, y, z', '-x+3/2, -y+3/2, z', '-y+3/2, x, z', 'y, -x+3/2, z']], [['x, y, z', '-x+1/2, -y+3/2, z', 'y-1/2, -x+1, -z', '-y+1, x+1/2, -z'], ['x, y, z', '-x+3/2, -y+1/2, z', 'y+1/2, -x+1, -z', '-y+1, x-1/2, -z'], ['x, y, z', '-x+1/2, -y+3/2, z', 'y-1/2, -x+1, -z+1', '-y+1, x+1/2, -z+1'], ['x, y, z', '-x+3/2, -y+1/2, z', 'y+1/2, -x+1, -z+1', '-y+1, x-1/2, -z+1']], [['x, y, z', '-x+1/2, -y+3/2, z', '-x+1/2, y, -z+3/2', 'x, -y+3/2, -z+3/2'], ['x, y, z', '-x+3/2, -y+1/2, z', '-x+3/2, y, -z+3/2', 'x, -y+1/2, -z+3/2'], ['x, y, z', '-x+3/2, -y+1/2, z', '-x+3/2, y, -z+1/2', 'x, -y+1/2, -z+1/2'], ['x, y, z', '-x+1/2, -y+3/2, z', '-x+1/2, y, -z+1/2', 'x, -y+3/2, -z+1/2']], [['x, y, z', '-x+1/2, -y+1/2, z', '-y+1/2, x, z', 'y, -x+1/2, z', '-x+1/2, y, -z+3/2', 'x, -y+1/2, -z+3/2', 'y, x, -z+3/2', '-y+1/2, -x+1/2, -z+3/2'], ['x, y, z', '-x+3/2, -y+3/2, z', '-y+3/2, x, z', 'y, -x+3/2, z', '-x+3/2, y, -z+1/2', 'x, -y+3/2, -z+1/2', 'y, x, -z+1/2', '-y+3/2, -x+3/2, -z+1/2']], [['x, y, z', '-x+1/2, -y+1/2, z', '-y+1/2, x, z', 'y, -x+1/2, z', '-x+1/2, y, -z+1/2', 'x, -y+1/2, -z+1/2', 'y, x, -z+1/2', '-y+1/2, -x+1/2, -z+1/2'], ['x, y, z', '-x+3/2, -y+3/2, z', '-y+3/2, x, z', 'y, -x+3/2, z', '-x+3/2, y, -z+3/2', 'x, -y+3/2, -z+3/2', 'y, x, -z+3/2', '-y+3/2, -x+3/2, -z+3/2']]]\"\n127,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', 'y-1/2, x+1/2, z'], ['x, y, z', 'y-1/2, x+1/2, z'], ['x, y, z', '-y+1/2, -x+1/2, z'], ['x, y, z', '-y+1/2, -x+1/2, z'], ['x, y, z', '-y+1/2, -x+1/2, z'], ['x, y, z', '-y+1/2, -x+1/2, z'], ['x, y, z', 'y-1/2, x+1/2, z'], ['x, y, z', 'y-1/2, x+1/2, z']], [['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1']], [['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z']], [['x, y, z', 'y-1/2, x+1/2, -z+1', 'x, y, -z+1', 'y-1/2, x+1/2, z'], ['x, y, z', 'y-1/2, x+1/2, -z+1', 'x, y, -z+1', 'y-1/2, x+1/2, z'], ['x, y, z', '-y+1/2, -x+1/2, -z+1', 'x, y, -z+1', '-y+1/2, -x+1/2, z'], ['x, y, z', '-y+1/2, -x+1/2, -z+1', 'x, y, -z+1', '-y+1/2, -x+1/2, z']], [['x, y, z', 'y-1/2, x+1/2, -z', 'x, y, -z', 'y-1/2, x+1/2, z'], ['x, y, z', 'y-1/2, x+1/2, -z', 'x, y, -z', 'y-1/2, x+1/2, z'], ['x, y, z', '-y+1/2, -x+1/2, -z', 'x, y, -z', '-y+1/2, -x+1/2, z'], ['x, y, z', '-y+1/2, -x+1/2, -z', 'x, y, -z', '-y+1/2, -x+1/2, z']], [['x, y, z', '-x, -y+1, z', '-y+1/2, -x+1/2, z', 'y-1/2, x+1/2, z'], ['x, y, z', '-x+1, -y, z', '-y+1/2, -x+1/2, z', 'y+1/2, x-1/2, z'], ['x, y, z', '-x+1, -y, z', '-y+1/2, -x+1/2, z', 'y+1/2, x-1/2, z'], ['x, y, z', '-x, -y+1, z', '-y+1/2, -x+1/2, z', 'y-1/2, x+1/2, z']], [['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z'], ['x, y, z', '-x+1, -y+1, z', '-y+1, x, z', 'y, -x+1, z'], ['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z'], ['x, y, z', '-x+1, -y+1, z', '-y+1, x, z', 'y, -x+1, z']], [['x, y, z', '-x, -y+1, z', 'y-1/2, x+1/2, -z', '-y+1/2, -x+1/2, -z', '-x, -y+1, -z', 'x, y, -z', '-y+1/2, -x+1/2, z', 'y-1/2, x+1/2, z'], ['x, y, z', '-x+1, -y, z', 'y+1/2, x-1/2, -z', '-y+1/2, -x+1/2, -z', '-x+1, -y, -z', 'x, y, -z', '-y+1/2, -x+1/2, z', 'y+1/2, x-1/2, z']], [['x, y, z', '-x, -y+1, z', 'y-1/2, x+1/2, -z+1', '-y+1/2, -x+1/2, -z+1', '-x, -y+1, -z+1', 'x, y, -z+1', '-y+1/2, -x+1/2, z', 'y-1/2, x+1/2, z'], ['x, y, z', '-x+1, -y, z', 'y+1/2, x-1/2, -z+1', '-y+1/2, -x+1/2, -z+1', '-x+1, -y, -z+1', 'x, y, -z+1', '-y+1/2, -x+1/2, z', 'y+1/2, x-1/2, z']], [['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z', '-x, -y, -z+1', 'x, y, -z+1', 'y, -x, -z+1', '-y, x, -z+1'], ['x, y, z', '-x+1, -y+1, z', '-y+1, x, z', 'y, -x+1, z', '-x+1, -y+1, -z+1', 'x, y, -z+1', 'y, -x+1, -z+1', '-y+1, x, -z+1']], [['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z', '-x, -y, -z', 'x, y, -z', 'y, -x, -z', '-y, x, -z'], ['x, y, z', '-x+1, -y+1, z', '-y+1, x, z', 'y, -x+1, z', '-x+1, -y+1, -z', 'x, y, -z', 'y, -x+1, -z', '-y+1, x, -z']]]\"\n128,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1']], [['x, y, z', 'y-1/2, x+1/2, -z+1/2'], ['x, y, z', 'y-1/2, x+1/2, -z+1/2'], ['x, y, z', '-y+1/2, -x+1/2, -z+1/2'], ['x, y, z', '-y+1/2, -x+1/2, -z+1/2'], ['x, y, z', 'y-1/2, x+1/2, -z+3/2'], ['x, y, z', 'y-1/2, x+1/2, -z+3/2'], ['x, y, z', '-y+1/2, -x+1/2, -z+3/2'], ['x, y, z', '-y+1/2, -x+1/2, -z+3/2']], [['x, y, z', '-x, -y+1, z'], ['x, y, z', '-x+1, -y, z'], ['x, y, z', '-x+1, -y, z'], ['x, y, z', '-x, -y+1, z'], ['x, y, z', '-x, -y+1, z'], ['x, y, z', '-x+1, -y, z'], ['x, y, z', '-x+1, -y, z'], ['x, y, z', '-x, -y+1, z']], [['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z'], ['x, y, z', '-x+1, -y+1, z', '-y+1, x, z', 'y, -x+1, z'], ['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z'], ['x, y, z', '-x+1, -y+1, z', '-y+1, x, z', 'y, -x+1, z']], [['x, y, z', '-x, -y+1, z', 'y-1/2, x+1/2, -z+1/2', '-y+1/2, -x+1/2, -z+1/2'], ['x, y, z', '-x+1, -y, z', 'y+1/2, x-1/2, -z+1/2', '-y+1/2, -x+1/2, -z+1/2'], ['x, y, z', '-x, -y+1, z', 'y-1/2, x+1/2, -z+3/2', '-y+1/2, -x+1/2, -z+3/2'], ['x, y, z', '-x+1, -y, z', 'y+1/2, x-1/2, -z+3/2', '-y+1/2, -x+1/2, -z+3/2']], [['x, y, z', '-x, -y+1, z', '-x, -y+1, -z', 'x, y, -z'], ['x, y, z', '-x+1, -y, z', '-x+1, -y, -z', 'x, y, -z'], ['x, y, z', '-x+1, -y, z', '-x+1, -y, -z+1', 'x, y, -z+1'], ['x, y, z', '-x, -y+1, z', '-x, -y+1, -z+1', 'x, y, -z+1']], [['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z', '-x, -y, -z+1', 'x, y, -z+1', 'y, -x, -z+1', '-y, x, -z+1'], ['x, y, z', '-x+1, -y+1, z', '-y+1, x, z', 'y, -x+1, z', '-x+1, -y+1, -z', 'x, y, -z', 'y, -x+1, -z', '-y+1, x, -z']], [['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z', '-x, -y, -z', 'x, y, -z', 'y, -x, -z', '-y, x, -z'], ['x, y, z', '-x+1, -y+1, z', '-y+1, x, z', 'y, -x+1, z', '-x+1, -y+1, -z+1', 'x, y, -z+1', 'y, -x+1, -z+1', '-y+1, x, -z+1']]]\"\n129,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', 'y, x, z'], ['x, y, z', 'y, x, z'], ['x, y, z', '-y+1/2, -x+1/2, z'], ['x, y, z', '-y+1/2, -x+1/2, z'], ['x, y, z', '-y+1/2, -x+1/2, z'], ['x, y, z', '-y+1/2, -x+1/2, z'], ['x, y, z', 'y, x, z'], ['x, y, z', 'y, x, z']], [['x, y, z', '-x+1/2, y, z'], ['x, y, z', '-x+1/2, y, z'], ['x, y, z', 'x, -y+1/2, z'], ['x, y, z', 'x, -y+1/2, z'], ['x, y, z', '-x+3/2, y, z'], ['x, y, z', '-x+3/2, y, z'], ['x, y, z', 'x, -y+3/2, z'], ['x, y, z', 'x, -y+3/2, z']], [['x, y, z', '-y, -x, -z+1'], ['x, y, z', '-y+1, -x+1, -z+1'], ['x, y, z', 'y+1/2, x-1/2, -z+1'], ['x, y, z', 'y-1/2, x+1/2, -z+1'], ['x, y, z', '-y, -x, -z+1'], ['x, y, z', '-y+1, -x+1, -z+1'], ['x, y, z', 'y+1/2, x-1/2, -z+1'], ['x, y, z', 'y-1/2, x+1/2, -z+1']], [['x, y, z', '-y, -x, -z'], ['x, y, z', '-y+1, -x+1, -z'], ['x, y, z', 'y+1/2, x-1/2, -z'], ['x, y, z', 'y-1/2, x+1/2, -z'], ['x, y, z', '-y, -x, -z'], ['x, y, z', '-y+1, -x+1, -z'], ['x, y, z', 'y+1/2, x-1/2, -z'], ['x, y, z', 'y-1/2, x+1/2, -z']], [['x, y, z', '-x+3/2, -y+1/2, z', 'x, -y+1/2, z', '-x+3/2, y, z'], ['x, y, z', '-x+1/2, -y+3/2, z', 'x, -y+3/2, z', '-x+1/2, y, z'], ['x, y, z', '-x+1/2, -y+3/2, z', 'x, -y+3/2, z', '-x+1/2, y, z'], ['x, y, z', '-x+3/2, -y+1/2, z', 'x, -y+1/2, z', '-x+3/2, y, z']], [['x, y, z', '-y, -x, -z+1', '-x, -y, -z+1', 'y, x, z'], ['x, y, z', '-y+1, -x+1, -z+1', '-x+1, -y+1, -z+1', 'y, x, z'], ['x, y, z', 'y+1/2, x-1/2, -z+1', '-x+1, -y, -z+1', '-y+1/2, -x+1/2, z'], ['x, y, z', 'y-1/2, x+1/2, -z+1', '-x, -y+1, -z+1', '-y+1/2, -x+1/2, z']], [['x, y, z', '-y, -x, -z', '-x, -y, -z', 'y, x, z'], ['x, y, z', '-y+1, -x+1, -z', '-x+1, -y+1, -z', 'y, x, z'], ['x, y, z', 'y+1/2, x-1/2, -z', '-x+1, -y, -z', '-y+1/2, -x+1/2, z'], ['x, y, z', 'y-1/2, x+1/2, -z', '-x, -y+1, -z', '-y+1/2, -x+1/2, z']], [['x, y, z', '-x+1/2, -y+1/2, z', '-y+1/2, x, z', 'y, -x+1/2, z', 'x, -y+1/2, z', '-x+1/2, y, z', '-y+1/2, -x+1/2, z', 'y, x, z'], ['x, y, z', '-x+3/2, -y+3/2, z', '-y+3/2, x, z', 'y, -x+3/2, z', 'x, -y+3/2, z', '-x+3/2, y, z', '-y+3/2, -x+3/2, z', 'y, x, z']], [['x, y, z', '-x+3/2, -y+1/2, z', 'y+1/2, x-1/2, -z+1', '-y+1, -x+1, -z+1', 'y+1/2, -x+1, -z+1', '-y+1, x-1/2, -z+1', 'x, -y+1/2, z', '-x+3/2, y, z'], ['x, y, z', '-x+1/2, -y+3/2, z', 'y-1/2, x+1/2, -z+1', '-y+1, -x+1, -z+1', 'y-1/2, -x+1, -z+1', '-y+1, x+1/2, -z+1', 'x, -y+3/2, z', '-x+1/2, y, z']], [['x, y, z', '-x+3/2, -y+1/2, z', 'y+1/2, x-1/2, -z', '-y+1, -x+1, -z', 'y+1/2, -x+1, -z', '-y+1, x-1/2, -z', 'x, -y+1/2, z', '-x+3/2, y, z'], ['x, y, z', '-x+1/2, -y+3/2, z', 'y-1/2, x+1/2, -z', '-y+1, -x+1, -z', 'y-1/2, -x+1, -z', '-y+1, x+1/2, -z', 'x, -y+3/2, z', '-x+1/2, y, z']]]\"\n130,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-y, -x, -z+1/2'], ['x, y, z', '-y+1, -x+1, -z+1/2'], ['x, y, z', 'y+1/2, x-1/2, -z+1/2'], ['x, y, z', 'y-1/2, x+1/2, -z+1/2'], ['x, y, z', '-y, -x, -z+3/2'], ['x, y, z', '-y+1, -x+1, -z+3/2'], ['x, y, z', 'y+1/2, x-1/2, -z+3/2'], ['x, y, z', 'y-1/2, x+1/2, -z+3/2']], [['x, y, z', '-x+3/2, -y+1/2, z'], ['x, y, z', '-x+1/2, -y+3/2, z'], ['x, y, z', '-x+1/2, -y+3/2, z'], ['x, y, z', '-x+3/2, -y+1/2, z'], ['x, y, z', '-x+1/2, -y+3/2, z'], ['x, y, z', '-x+3/2, -y+1/2, z'], ['x, y, z', '-x+3/2, -y+1/2, z'], ['x, y, z', '-x+1/2, -y+3/2, z']], [['x, y, z', '-x, -y, -z'], ['x, y, z', '-x+1, -y+1, -z'], ['x, y, z', '-x+1, -y, -z'], ['x, y, z', '-x, -y+1, -z'], ['x, y, z', '-x, -y+1, -z+1'], ['x, y, z', '-x+1, -y, -z+1'], ['x, y, z', '-x+1, -y+1, -z+1'], ['x, y, z', '-x, -y, -z+1']], [['x, y, z', '-x+1/2, -y+1/2, z', '-y+1/2, x, z', 'y, -x+1/2, z'], ['x, y, z', '-x+3/2, -y+3/2, z', '-y+3/2, x, z', 'y, -x+3/2, z'], ['x, y, z', '-x+3/2, -y+3/2, z', '-y+3/2, x, z', 'y, -x+3/2, z'], ['x, y, z', '-x+1/2, -y+1/2, z', '-y+1/2, x, z', 'y, -x+1/2, z']], [['x, y, z', '-x+3/2, -y+1/2, z', 'y+1/2, -x+1, -z', '-y+1, x-1/2, -z'], ['x, y, z', '-x+1/2, -y+3/2, z', 'y-1/2, -x+1, -z', '-y+1, x+1/2, -z'], ['x, y, z', '-x+1/2, -y+3/2, z', 'y-1/2, -x+1, -z+1', '-y+1, x+1/2, -z+1'], ['x, y, z', '-x+3/2, -y+1/2, z', 'y+1/2, -x+1, -z+1', '-y+1, x-1/2, -z+1']], [['x, y, z', '-x+3/2, -y+1/2, z', 'y+1/2, x-1/2, -z+1/2', '-y+1, -x+1, -z+1/2'], ['x, y, z', '-x+1/2, -y+3/2, z', 'y-1/2, x+1/2, -z+1/2', '-y+1, -x+1, -z+1/2'], ['x, y, z', '-x+1/2, -y+3/2, z', 'y-1/2, x+1/2, -z+3/2', '-y+1, -x+1, -z+3/2'], ['x, y, z', '-x+3/2, -y+1/2, z', 'y+1/2, x-1/2, -z+3/2', '-y+1, -x+1, -z+3/2']]]\"\n131,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1']], [['x, y, z', '-x+1, y, z'], ['x, y, z', '-x+1, y, z'], ['x, y, z', 'x, -y+1, z'], ['x, y, z', 'x, -y+1, z'], ['x, y, z', '-x+1, y, z'], ['x, y, z', '-x+1, y, z'], ['x, y, z', 'x, -y+1, z'], ['x, y, z', 'x, -y+1, z']], [['x, y, z', '-x, y, z'], ['x, y, z', '-x, y, z'], ['x, y, z', 'x, -y, z'], ['x, y, z', 'x, -y, z'], ['x, y, z', '-x, y, z'], ['x, y, z', '-x, y, z'], ['x, y, z', 'x, -y, z'], ['x, y, z', 'x, -y, z']], [['x, y, z', 'y, x, -z+1/2'], ['x, y, z', 'y, x, -z+1/2'], ['x, y, z', '-y, -x, -z+3/2'], ['x, y, z', '-y, -x, -z+3/2'], ['x, y, z', 'y, x, -z+3/2'], ['x, y, z', 'y, x, -z+3/2'], ['x, y, z', '-y, -x, -z+1/2'], ['x, y, z', '-y, -x, -z+1/2']], [['x, y, z', 'x, -y+1, -z', 'x, y, -z', 'x, -y+1, z'], ['x, y, z', 'x, -y+1, -z', 'x, y, -z', 'x, -y+1, z'], ['x, y, z', '-x+1, y, -z+1', 'x, y, -z+1', '-x+1, y, z'], ['x, y, z', '-x+1, y, -z+1', 'x, y, -z+1', '-x+1, y, z']], [['x, y, z', 'x, -y, -z+1', 'x, y, -z+1', 'x, -y, z'], ['x, y, z', 'x, -y, -z+1', 'x, y, -z+1', 'x, -y, z'], ['x, y, z', '-x, y, -z', 'x, y, -z', '-x, y, z'], ['x, y, z', '-x, y, -z', 'x, y, -z', '-x, y, z']], [['x, y, z', 'x, -y+1, -z+1', 'x, y, -z+1', 'x, -y+1, z'], ['x, y, z', 'x, -y+1, -z+1', 'x, y, -z+1', 'x, -y+1, z'], ['x, y, z', '-x+1, y, -z', 'x, y, -z', '-x+1, y, z'], ['x, y, z', '-x+1, y, -z', 'x, y, -z', '-x+1, y, z']], [['x, y, z', 'x, -y, -z', 'x, y, -z', 'x, -y, z'], ['x, y, z', 'x, -y, -z', 'x, y, -z', 'x, -y, z'], ['x, y, z', '-x, y, -z+1', 'x, y, -z+1', '-x, y, z'], ['x, y, z', '-x, y, -z+1', 'x, y, -z+1', '-x, y, z']], [['x, y, z', '-x, -y+1, z', 'x, -y+1, z', '-x, y, z'], ['x, y, z', '-x+1, -y, z', 'x, -y, z', '-x+1, y, z'], ['x, y, z', '-x, -y+1, z', 'x, -y+1, z', '-x, y, z'], ['x, y, z', '-x+1, -y, z', 'x, -y, z', '-x+1, y, z']], [['x, y, z', '-x+1, -y+1, z', 'x, -y+1, z', '-x+1, y, z'], ['x, y, z', '-x+1, -y+1, z', 'x, -y+1, z', '-x+1, y, z'], ['x, y, z', '-x+1, -y+1, z', 'x, -y+1, z', '-x+1, y, z'], ['x, y, z', '-x+1, -y+1, z', 'x, -y+1, z', '-x+1, y, z']], [['x, y, z', '-x, -y, z', 'x, -y, z', '-x, y, z'], ['x, y, z', '-x, -y, z', 'x, -y, z', '-x, y, z'], ['x, y, z', '-x, -y, z', 'x, -y, z', '-x, y, z'], ['x, y, z', '-x, -y, z', 'x, -y, z', '-x, y, z']], [['x, y, z', '-x+1, -y+1, z', 'y, x, -z+1/2', '-y+1, -x+1, -z+1/2', 'y, -x+1, -z+1/2', '-y+1, x, -z+1/2', 'x, -y+1, z', '-x+1, y, z'], ['x, y, z', '-x+1, -y+1, z', 'y, x, -z+3/2', '-y+1, -x+1, -z+3/2', 'y, -x+1, -z+3/2', '-y+1, x, -z+3/2', 'x, -y+1, z', '-x+1, y, z']], [['x, y, z', '-x, -y, z', 'y, x, -z+1/2', '-y, -x, -z+1/2', 'y, -x, -z+1/2', '-y, x, -z+1/2', 'x, -y, z', '-x, y, z'], ['x, y, z', '-x, -y, z', 'y, x, -z+3/2', '-y, -x, -z+3/2', 'y, -x, -z+3/2', '-y, x, -z+3/2', 'x, -y, z', '-x, y, z']], [['x, y, z', '-x, -y+1, z', '-x, y, -z+1', 'x, -y+1, -z+1', '-x, -y+1, -z+1', 'x, y, -z+1', 'x, -y+1, z', '-x, y, z'], ['x, y, z', '-x+1, -y, z', '-x+1, y, -z', 'x, -y, -z', '-x+1, -y, -z', 'x, y, -z', 'x, -y, z', '-x+1, y, z']], [['x, y, z', '-x, -y+1, z', '-x, y, -z', 'x, -y+1, -z', '-x, -y+1, -z', 'x, y, -z', 'x, -y+1, z', '-x, y, z'], ['x, y, z', '-x+1, -y, z', '-x+1, y, -z+1', 'x, -y, -z+1', '-x+1, -y, -z+1', 'x, y, -z+1', 'x, -y, z', '-x+1, y, z']], [['x, y, z', '-x+1, -y+1, z', '-x+1, y, -z', 'x, -y+1, -z', '-x+1, -y+1, -z', 'x, y, -z', 'x, -y+1, z', '-x+1, y, z'], ['x, y, z', '-x+1, -y+1, z', '-x+1, y, -z+1', 'x, -y+1, -z+1', '-x+1, -y+1, -z+1', 'x, y, -z+1', 'x, -y+1, z', '-x+1, y, z']], [['x, y, z', '-x, -y, z', '-x, y, -z', 'x, -y, -z', '-x, -y, -z', 'x, y, -z', 'x, -y, z', '-x, y, z'], ['x, y, z', '-x, -y, z', '-x, y, -z+1', 'x, -y, -z+1', '-x, -y, -z+1', 'x, y, -z+1', 'x, -y, z', '-x, y, z']]]\"\n132,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', 'y, x, z'], ['x, y, z', 'y, x, z'], ['x, y, z', '-y, -x, z'], ['x, y, z', '-y, -x, z'], ['x, y, z', '-y, -x, z'], ['x, y, z', '-y, -x, z'], ['x, y, z', 'y, x, z'], ['x, y, z', 'y, x, z']], [['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z']], [['x, y, z', 'x, -y+1, -z+1/2'], ['x, y, z', 'x, -y+1, -z+1/2'], ['x, y, z', '-x+1, y, -z+3/2'], ['x, y, z', '-x+1, y, -z+3/2'], ['x, y, z', 'x, -y+1, -z+3/2'], ['x, y, z', 'x, -y+1, -z+3/2'], ['x, y, z', '-x+1, y, -z+1/2'], ['x, y, z', '-x+1, y, -z+1/2']], [['x, y, z', 'x, -y, -z+1/2'], ['x, y, z', 'x, -y, -z+1/2'], ['x, y, z', '-x, y, -z+3/2'], ['x, y, z', '-x, y, -z+3/2'], ['x, y, z', 'x, -y, -z+3/2'], ['x, y, z', 'x, -y, -z+3/2'], ['x, y, z', '-x, y, -z+1/2'], ['x, y, z', '-x, y, -z+1/2']], [['x, y, z', '-x, -y+1, z'], ['x, y, z', '-x+1, -y, z'], ['x, y, z', '-x, -y+1, z'], ['x, y, z', '-x+1, -y, z'], ['x, y, z', '-x, -y+1, z'], ['x, y, z', '-x+1, -y, z'], ['x, y, z', '-x, -y+1, z'], ['x, y, z', '-x+1, -y, z']], [['x, y, z', 'y, x, -z+1', 'x, y, -z+1', 'y, x, z'], ['x, y, z', 'y, x, -z+1', 'x, y, -z+1', 'y, x, z'], ['x, y, z', '-y, -x, -z', 'x, y, -z', '-y, -x, z'], ['x, y, z', '-y, -x, -z', 'x, y, -z', '-y, -x, z']], [['x, y, z', 'y, x, -z', 'x, y, -z', 'y, x, z'], ['x, y, z', 'y, x, -z', 'x, y, -z', 'y, x, z'], ['x, y, z', '-y, -x, -z+1', 'x, y, -z+1', '-y, -x, z'], ['x, y, z', '-y, -x, -z+1', 'x, y, -z+1', '-y, -x, z']], [['x, y, z', '-x+1, -y+1, z', '-y+1, -x+1, z', 'y, x, z'], ['x, y, z', '-x+1, -y+1, z', '-y+1, -x+1, z', 'y, x, z'], ['x, y, z', '-x+1, -y+1, z', '-y+1, -x+1, z', 'y, x, z'], ['x, y, z', '-x+1, -y+1, z', '-y+1, -x+1, z', 'y, x, z']], [['x, y, z', '-x, -y, z', '-y, -x, z', 'y, x, z'], ['x, y, z', '-x, -y, z', '-y, -x, z', 'y, x, z'], ['x, y, z', '-x, -y, z', '-y, -x, z', 'y, x, z'], ['x, y, z', '-x, -y, z', '-y, -x, z', 'y, x, z']], [['x, y, z', '-x, -y+1, z', '-x, -y+1, -z', 'x, y, -z'], ['x, y, z', '-x+1, -y, z', '-x+1, -y, -z+1', 'x, y, -z+1'], ['x, y, z', '-x, -y+1, z', '-x, -y+1, -z+1', 'x, y, -z+1'], ['x, y, z', '-x+1, -y, z', '-x+1, -y, -z', 'x, y, -z']], [['x, y, z', '-x, -y+1, z', '-x, y, -z+1/2', 'x, -y+1, -z+1/2'], ['x, y, z', '-x+1, -y, z', '-x+1, y, -z+3/2', 'x, -y, -z+3/2'], ['x, y, z', '-x, -y+1, z', '-x, y, -z+3/2', 'x, -y+1, -z+3/2'], ['x, y, z', '-x+1, -y, z', '-x+1, y, -z+1/2', 'x, -y, -z+1/2']], [['x, y, z', '-x+1, -y+1, z', '-x+1, y, -z+1/2', 'x, -y+1, -z+1/2', 'y, -x+1, -z+1/2', '-y+1, x, -z+1/2', '-y+1, -x+1, z', 'y, x, z'], ['x, y, z', '-x+1, -y+1, z', '-x+1, y, -z+3/2', 'x, -y+1, -z+3/2', 'y, -x+1, -z+3/2', '-y+1, x, -z+3/2', '-y+1, -x+1, z', 'y, x, z']], [['x, y, z', '-x+1, -y+1, z', 'y, x, -z', '-y+1, -x+1, -z', '-x+1, -y+1, -z', 'x, y, -z', '-y+1, -x+1, z', 'y, x, z'], ['x, y, z', '-x+1, -y+1, z', 'y, x, -z+1', '-y+1, -x+1, -z+1', '-x+1, -y+1, -z+1', 'x, y, -z+1', '-y+1, -x+1, z', 'y, x, z']], [['x, y, z', '-x, -y, z', '-x, y, -z+1/2', 'x, -y, -z+1/2', 'y, -x, -z+1/2', '-y, x, -z+1/2', '-y, -x, z', 'y, x, z'], ['x, y, z', '-x, -y, z', '-x, y, -z+3/2', 'x, -y, -z+3/2', 'y, -x, -z+3/2', '-y, x, -z+3/2', '-y, -x, z', 'y, x, z']], [['x, y, z', '-x, -y, z', 'y, x, -z', '-y, -x, -z', '-x, -y, -z', 'x, y, -z', '-y, -x, z', 'y, x, z'], ['x, y, z', '-x, -y, z', 'y, x, -z+1', '-y, -x, -z+1', '-x, -y, -z+1', 'x, y, -z+1', '-y, -x, z', 'y, x, z']]]\"\n133,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', 'y, x, -z+1/2'], ['x, y, z', 'y, x, -z+1/2'], ['x, y, z', '-y+1/2, -x+1/2, -z+3/2'], ['x, y, z', '-y+1/2, -x+1/2, -z+3/2'], ['x, y, z', 'y, x, -z+3/2'], ['x, y, z', 'y, x, -z+3/2'], ['x, y, z', '-y+1/2, -x+1/2, -z+1/2'], ['x, y, z', '-y+1/2, -x+1/2, -z+1/2']], [['x, y, z', 'x, -y+1/2, -z+1'], ['x, y, z', 'x, -y+1/2, -z+1'], ['x, y, z', '-x+1/2, y, -z'], ['x, y, z', '-x+1/2, y, -z'], ['x, y, z', 'x, -y+3/2, -z+1'], ['x, y, z', 'x, -y+3/2, -z+1'], ['x, y, z', '-x+3/2, y, -z'], ['x, y, z', '-x+3/2, y, -z']], [['x, y, z', 'x, -y+1/2, -z'], ['x, y, z', 'x, -y+1/2, -z'], ['x, y, z', '-x+1/2, y, -z+1'], ['x, y, z', '-x+1/2, y, -z+1'], ['x, y, z', 'x, -y+3/2, -z'], ['x, y, z', 'x, -y+3/2, -z'], ['x, y, z', '-x+3/2, y, -z+1'], ['x, y, z', '-x+3/2, y, -z+1']], [['x, y, z', '-x+3/2, -y+1/2, z'], ['x, y, z', '-x+1/2, -y+3/2, z'], ['x, y, z', '-x+3/2, -y+1/2, z'], ['x, y, z', '-x+1/2, -y+3/2, z'], ['x, y, z', '-x+1/2, -y+3/2, z'], ['x, y, z', '-x+3/2, -y+1/2, z'], ['x, y, z', '-x+1/2, -y+3/2, z'], ['x, y, z', '-x+3/2, -y+1/2, z']], [['x, y, z', '-x+1/2, -y+1/2, z'], ['x, y, z', '-x+1/2, -y+1/2, z'], ['x, y, z', '-x+1/2, -y+1/2, z'], ['x, y, z', '-x+1/2, -y+1/2, z'], ['x, y, z', '-x+3/2, -y+3/2, z'], ['x, y, z', '-x+3/2, -y+3/2, z'], ['x, y, z', '-x+3/2, -y+3/2, z'], ['x, y, z', '-x+3/2, -y+3/2, z']], [['x, y, z', '-x, -y, -z'], ['x, y, z', '-x+1, -y+1, -z'], ['x, y, z', '-x+1, -y, -z+1'], ['x, y, z', '-x, -y+1, -z+1'], ['x, y, z', '-x+1, -y, -z'], ['x, y, z', '-x, -y+1, -z'], ['x, y, z', '-x, -y, -z+1'], ['x, y, z', '-x+1, -y+1, -z+1']], [['x, y, z', '-x+3/2, -y+1/2, z', 'y+1/2, -x+1, -z+3/2', '-y+1, x-1/2, -z+3/2'], ['x, y, z', '-x+1/2, -y+3/2, z', 'y-1/2, -x+1, -z+1/2', '-y+1, x+1/2, -z+1/2'], ['x, y, z', '-x+3/2, -y+1/2, z', 'y+1/2, -x+1, -z+1/2', '-y+1, x-1/2, -z+1/2'], ['x, y, z', '-x+1/2, -y+3/2, z', 'y-1/2, -x+1, -z+3/2', '-y+1, x+1/2, -z+3/2']], [['x, y, z', '-x+1/2, -y+1/2, z', 'y, x, -z+1/2', '-y+1/2, -x+1/2, -z+1/2'], ['x, y, z', '-x+1/2, -y+1/2, z', 'y, x, -z+3/2', '-y+1/2, -x+1/2, -z+3/2'], ['x, y, z', '-x+3/2, -y+3/2, z', 'y, x, -z+3/2', '-y+3/2, -x+3/2, -z+3/2'], ['x, y, z', '-x+3/2, -y+3/2, z', 'y, x, -z+1/2', '-y+3/2, -x+3/2, -z+1/2']], [['x, y, z', '-x+3/2, -y+1/2, z', '-x+3/2, y, -z', 'x, -y+1/2, -z'], ['x, y, z', '-x+1/2, -y+3/2, z', '-x+1/2, y, -z+1', 'x, -y+3/2, -z+1'], ['x, y, z', '-x+1/2, -y+3/2, z', '-x+1/2, y, -z', 'x, -y+3/2, -z'], ['x, y, z', '-x+3/2, -y+1/2, z', '-x+3/2, y, -z+1', 'x, -y+1/2, -z+1']], [['x, y, z', '-x+1/2, -y+1/2, z', '-x+1/2, y, -z', 'x, -y+1/2, -z'], ['x, y, z', '-x+1/2, -y+1/2, z', '-x+1/2, y, -z+1', 'x, -y+1/2, -z+1'], ['x, y, z', '-x+3/2, -y+3/2, z', '-x+3/2, y, -z', 'x, -y+3/2, -z'], ['x, y, z', '-x+3/2, -y+3/2, z', '-x+3/2, y, -z+1', 'x, -y+3/2, -z+1']]]\"\n134,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-y, -x, z'], ['x, y, z', '-y+1, -x+1, z'], ['x, y, z', 'y+1/2, x-1/2, z'], ['x, y, z', 'y-1/2, x+1/2, z'], ['x, y, z', 'y+1/2, x-1/2, z'], ['x, y, z', 'y-1/2, x+1/2, z'], ['x, y, z', '-y, -x, z'], ['x, y, z', '-y+1, -x+1, z']], [['x, y, z', 'y, x, -z+1'], ['x, y, z', 'y, x, -z+1'], ['x, y, z', '-y+1/2, -x+1/2, -z'], ['x, y, z', '-y+1/2, -x+1/2, -z'], ['x, y, z', 'y, x, -z+1'], ['x, y, z', 'y, x, -z+1'], ['x, y, z', '-y+1/2, -x+1/2, -z'], ['x, y, z', '-y+1/2, -x+1/2, -z']], [['x, y, z', 'y, x, -z'], ['x, y, z', 'y, x, -z'], ['x, y, z', '-y+1/2, -x+1/2, -z+1'], ['x, y, z', '-y+1/2, -x+1/2, -z+1'], ['x, y, z', 'y, x, -z'], ['x, y, z', 'y, x, -z'], ['x, y, z', '-y+1/2, -x+1/2, -z+1'], ['x, y, z', '-y+1/2, -x+1/2, -z+1']], [['x, y, z', 'x, -y+1/2, -z+1/2'], ['x, y, z', 'x, -y+1/2, -z+1/2'], ['x, y, z', '-x+1/2, y, -z+3/2'], ['x, y, z', '-x+1/2, y, -z+3/2'], ['x, y, z', 'x, -y+3/2, -z+3/2'], ['x, y, z', 'x, -y+3/2, -z+3/2'], ['x, y, z', '-x+3/2, y, -z+1/2'], ['x, y, z', '-x+3/2, y, -z+1/2']], [['x, y, z', 'x, -y+1/2, -z+3/2'], ['x, y, z', 'x, -y+1/2, -z+3/2'], ['x, y, z', '-x+1/2, y, -z+1/2'], ['x, y, z', '-x+1/2, y, -z+1/2'], ['x, y, z', 'x, -y+3/2, -z+1/2'], ['x, y, z', 'x, -y+3/2, -z+1/2'], ['x, y, z', '-x+3/2, y, -z+3/2'], ['x, y, z', '-x+3/2, y, -z+3/2']], [['x, y, z', '-x+1/2, -y+1/2, z'], ['x, y, z', '-x+1/2, -y+1/2, z'], ['x, y, z', '-x+1/2, -y+1/2, z'], ['x, y, z', '-x+1/2, -y+1/2, z'], ['x, y, z', '-x+3/2, -y+3/2, z'], ['x, y, z', '-x+3/2, -y+3/2, z'], ['x, y, z', '-x+3/2, -y+3/2, z'], ['x, y, z', '-x+3/2, -y+3/2, z']], [['x, y, z', '-x+3/2, -y+1/2, z', '-y+1, -x+1, z', 'y+1/2, x-1/2, z'], ['x, y, z', '-x+1/2, -y+3/2, z', '-y+1, -x+1, z', 'y-1/2, x+1/2, z'], ['x, y, z', '-x+3/2, -y+1/2, z', '-y+1, -x+1, z', 'y+1/2, x-1/2, z'], ['x, y, z', '-x+1/2, -y+3/2, z', '-y+1, -x+1, z', 'y-1/2, x+1/2, z']], [['x, y, z', 'y, x, -z', '-x, -y, -z', '-y, -x, z'], ['x, y, z', 'y, x, -z', '-x+1, -y+1, -z', '-y+1, -x+1, z'], ['x, y, z', '-y+1/2, -x+1/2, -z+1', '-x+1, -y, -z+1', 'y+1/2, x-1/2, z'], ['x, y, z', '-y+1/2, -x+1/2, -z+1', '-x, -y+1, -z+1', 'y-1/2, x+1/2, z']], [['x, y, z', 'y, x, -z+1', '-x, -y, -z+1', '-y, -x, z'], ['x, y, z', 'y, x, -z+1', '-x+1, -y+1, -z+1', '-y+1, -x+1, z'], ['x, y, z', '-y+1/2, -x+1/2, -z', '-x+1, -y, -z', 'y+1/2, x-1/2, z'], ['x, y, z', '-y+1/2, -x+1/2, -z', '-x, -y+1, -z', 'y-1/2, x+1/2, z']], [['x, y, z', '-x+1/2, -y+1/2, z', 'y, x, -z', '-y+1/2, -x+1/2, -z'], ['x, y, z', '-x+1/2, -y+1/2, z', 'y, x, -z+1', '-y+1/2, -x+1/2, -z+1'], ['x, y, z', '-x+3/2, -y+3/2, z', 'y, x, -z', '-y+3/2, -x+3/2, -z'], ['x, y, z', '-x+3/2, -y+3/2, z', 'y, x, -z+1', '-y+3/2, -x+3/2, -z+1']], [['x, y, z', '-x+1/2, -y+1/2, z', '-x+1/2, y, -z+1/2', 'x, -y+1/2, -z+1/2'], ['x, y, z', '-x+1/2, -y+1/2, z', '-x+1/2, y, -z+3/2', 'x, -y+1/2, -z+3/2'], ['x, y, z', '-x+3/2, -y+3/2, z', '-x+3/2, y, -z+3/2', 'x, -y+3/2, -z+3/2'], ['x, y, z', '-x+3/2, -y+3/2, z', '-x+3/2, y, -z+1/2', 'x, -y+3/2, -z+1/2']], [['x, y, z', '-x+3/2, -y+1/2, z', '-x+3/2, y, -z+1/2', 'x, -y+1/2, -z+1/2', 'y+1/2, -x+1, -z+1/2', '-y+1, x-1/2, -z+1/2', '-y+1, -x+1, z', 'y+1/2, x-1/2, z'], ['x, y, z', '-x+1/2, -y+3/2, z', '-x+1/2, y, -z+3/2', 'x, -y+3/2, -z+3/2', 'y-1/2, -x+1, -z+3/2', '-y+1, x+1/2, -z+3/2', '-y+1, -x+1, z', 'y-1/2, x+1/2, z']], [['x, y, z', '-x+1/2, -y+3/2, z', '-x+1/2, y, -z+1/2', 'x, -y+3/2, -z+1/2', 'y-1/2, -x+1, -z+1/2', '-y+1, x+1/2, -z+1/2', '-y+1, -x+1, z', 'y-1/2, x+1/2, z'], ['x, y, z', '-x+3/2, -y+1/2, z', '-x+3/2, y, -z+3/2', 'x, -y+1/2, -z+3/2', 'y+1/2, -x+1, -z+3/2', '-y+1, x-1/2, -z+3/2', '-y+1, -x+1, z', 'y+1/2, x-1/2, z']]]\"\n135,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1']], [['x, y, z', 'y-1/2, x+1/2, -z+1/2'], ['x, y, z', 'y-1/2, x+1/2, -z+1/2'], ['x, y, z', '-y+1/2, -x+1/2, -z+3/2'], ['x, y, z', '-y+1/2, -x+1/2, -z+3/2'], ['x, y, z', 'y-1/2, x+1/2, -z+3/2'], ['x, y, z', 'y-1/2, x+1/2, -z+3/2'], ['x, y, z', '-y+1/2, -x+1/2, -z+1/2'], ['x, y, z', '-y+1/2, -x+1/2, -z+1/2']], [['x, y, z', '-x, -y+1, z'], ['x, y, z', '-x+1, -y, z'], ['x, y, z', '-x+1, -y, z'], ['x, y, z', '-x, -y+1, z'], ['x, y, z', '-x, -y+1, z'], ['x, y, z', '-x+1, -y, z'], ['x, y, z', '-x+1, -y, z'], ['x, y, z', '-x, -y+1, z']], [['x, y, z', '-x, -y, z'], ['x, y, z', '-x, -y, z'], ['x, y, z', '-x+1, -y+1, z'], ['x, y, z', '-x+1, -y+1, z'], ['x, y, z', '-x, -y, z'], ['x, y, z', '-x, -y, z'], ['x, y, z', '-x+1, -y+1, z'], ['x, y, z', '-x+1, -y+1, z']], [['x, y, z', '-x, -y+1, z', 'y-1/2, x+1/2, -z+1/2', '-y+1/2, -x+1/2, -z+1/2'], ['x, y, z', '-x+1, -y, z', 'y+1/2, x-1/2, -z+3/2', '-y+1/2, -x+1/2, -z+3/2'], ['x, y, z', '-x, -y+1, z', 'y-1/2, x+1/2, -z+3/2', '-y+1/2, -x+1/2, -z+3/2'], ['x, y, z', '-x+1, -y, z', 'y+1/2, x-1/2, -z+1/2', '-y+1/2, -x+1/2, -z+1/2']], [['x, y, z', '-x, -y+1, z', '-x, -y+1, -z', 'x, y, -z'], ['x, y, z', '-x+1, -y, z', '-x+1, -y, -z+1', 'x, y, -z+1'], ['x, y, z', '-x+1, -y, z', '-x+1, -y, -z', 'x, y, -z'], ['x, y, z', '-x, -y+1, z', '-x, -y+1, -z+1', 'x, y, -z+1']], [['x, y, z', '-x, -y, z', 'y, -x, -z+1/2', '-y, x, -z+1/2'], ['x, y, z', '-x, -y, z', 'y, -x, -z+3/2', '-y, x, -z+3/2'], ['x, y, z', '-x+1, -y+1, z', 'y, -x+1, -z+3/2', '-y+1, x, -z+3/2'], ['x, y, z', '-x+1, -y+1, z', 'y, -x+1, -z+1/2', '-y+1, x, -z+1/2']], [['x, y, z', '-x, -y, z', '-x, -y, -z', 'x, y, -z'], ['x, y, z', '-x, -y, z', '-x, -y, -z+1', 'x, y, -z+1'], ['x, y, z', '-x+1, -y+1, z', '-x+1, -y+1, -z', 'x, y, -z'], ['x, y, z', '-x+1, -y+1, z', '-x+1, -y+1, -z+1', 'x, y, -z+1']]]\"\n136,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', 'y, x, z'], ['x, y, z', 'y, x, z'], ['x, y, z', '-y+1, -x+1, z'], ['x, y, z', '-y+1, -x+1, z'], ['x, y, z', '-y+1, -x+1, z'], ['x, y, z', '-y+1, -x+1, z'], ['x, y, z', 'y, x, z'], ['x, y, z', 'y, x, z']], [['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z']], [['x, y, z', '-x, -y+1, z'], ['x, y, z', '-x, -y+1, z'], ['x, y, z', '-x+1, -y, z'], ['x, y, z', '-x+1, -y, z'], ['x, y, z', '-x, -y+1, z'], ['x, y, z', '-x, -y+1, z'], ['x, y, z', '-x+1, -y, z'], ['x, y, z', '-x+1, -y, z']], [['x, y, z', '-y, -x, -z', 'x, y, -z', '-y, -x, z'], ['x, y, z', '-y, -x, -z', 'x, y, -z', '-y, -x, z'], ['x, y, z', 'y, x, -z+1', 'x, y, -z+1', 'y, x, z'], ['x, y, z', 'y, x, -z+1', 'x, y, -z+1', 'y, x, z']], [['x, y, z', 'y, x, -z', 'x, y, -z', 'y, x, z'], ['x, y, z', 'y, x, -z', 'x, y, -z', 'y, x, z'], ['x, y, z', '-y+1, -x+1, -z+1', 'x, y, -z+1', '-y+1, -x+1, z'], ['x, y, z', '-y+1, -x+1, -z+1', 'x, y, -z+1', '-y+1, -x+1, z']], [['x, y, z', '-x, -y, z', '-y, -x, z', 'y, x, z'], ['x, y, z', '-x+1, -y+1, z', '-y+1, -x+1, z', 'y, x, z'], ['x, y, z', '-x+1, -y+1, z', '-y+1, -x+1, z', 'y, x, z'], ['x, y, z', '-x, -y, z', '-y, -x, z', 'y, x, z']], [['x, y, z', '-x, -y+1, z', 'y-1/2, -x+1/2, -z+1/2', '-y+1/2, x+1/2, -z+1/2'], ['x, y, z', '-x, -y+1, z', 'y-1/2, -x+1/2, -z+3/2', '-y+1/2, x+1/2, -z+3/2'], ['x, y, z', '-x+1, -y, z', 'y+1/2, -x+1/2, -z+1/2', '-y+1/2, x-1/2, -z+1/2'], ['x, y, z', '-x+1, -y, z', 'y+1/2, -x+1/2, -z+3/2', '-y+1/2, x-1/2, -z+3/2']], [['x, y, z', '-x, -y+1, z', '-x, -y+1, -z', 'x, y, -z'], ['x, y, z', '-x, -y+1, z', '-x, -y+1, -z+1', 'x, y, -z+1'], ['x, y, z', '-x+1, -y, z', '-x+1, -y, -z+1', 'x, y, -z+1'], ['x, y, z', '-x+1, -y, z', '-x+1, -y, -z', 'x, y, -z']], [['x, y, z', '-x, -y, z', 'y, x, -z+1', '-y, -x, -z+1', '-x, -y, -z+1', 'x, y, -z+1', '-y, -x, z', 'y, x, z'], ['x, y, z', '-x+1, -y+1, z', 'y, x, -z', '-y+1, -x+1, -z', '-x+1, -y+1, -z', 'x, y, -z', '-y+1, -x+1, z', 'y, x, z']], [['x, y, z', '-x, -y, z', 'y, x, -z', '-y, -x, -z', '-x, -y, -z', 'x, y, -z', '-y, -x, z', 'y, x, z'], ['x, y, z', '-x+1, -y+1, z', 'y, x, -z+1', '-y+1, -x+1, -z+1', '-x+1, -y+1, -z+1', 'x, y, -z+1', '-y+1, -x+1, z', 'y, x, z']]]\"\n137,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-x+1/2, y, z'], ['x, y, z', '-x+1/2, y, z'], ['x, y, z', 'x, -y+1/2, z'], ['x, y, z', 'x, -y+1/2, z'], ['x, y, z', '-x+3/2, y, z'], ['x, y, z', '-x+3/2, y, z'], ['x, y, z', 'x, -y+3/2, z'], ['x, y, z', 'x, -y+3/2, z']], [['x, y, z', '-y, -x, -z+1/2'], ['x, y, z', '-y+1, -x+1, -z+1/2'], ['x, y, z', 'y+1/2, x-1/2, -z+3/2'], ['x, y, z', 'y-1/2, x+1/2, -z+3/2'], ['x, y, z', '-y, -x, -z+3/2'], ['x, y, z', '-y+1, -x+1, -z+3/2'], ['x, y, z', 'y+1/2, x-1/2, -z+1/2'], ['x, y, z', 'y-1/2, x+1/2, -z+1/2']], [['x, y, z', '-x, -y, -z'], ['x, y, z', '-x+1, -y+1, -z'], ['x, y, z', '-x+1, -y, -z+1'], ['x, y, z', '-x, -y+1, -z+1'], ['x, y, z', '-x, -y+1, -z'], ['x, y, z', '-x+1, -y, -z'], ['x, y, z', '-x+1, -y+1, -z+1'], ['x, y, z', '-x, -y, -z+1']], [['x, y, z', '-x+1/2, -y+1/2, z', 'x, -y+1/2, z', '-x+1/2, y, z'], ['x, y, z', '-x+1/2, -y+1/2, z', 'x, -y+1/2, z', '-x+1/2, y, z'], ['x, y, z', '-x+3/2, -y+3/2, z', 'x, -y+3/2, z', '-x+3/2, y, z'], ['x, y, z', '-x+3/2, -y+3/2, z', 'x, -y+3/2, z', '-x+3/2, y, z']], [['x, y, z', '-x+3/2, -y+1/2, z', 'x, -y+1/2, z', '-x+3/2, y, z'], ['x, y, z', '-x+1/2, -y+3/2, z', 'x, -y+3/2, z', '-x+1/2, y, z'], ['x, y, z', '-x+1/2, -y+3/2, z', 'x, -y+3/2, z', '-x+1/2, y, z'], ['x, y, z', '-x+3/2, -y+1/2, z', 'x, -y+1/2, z', '-x+3/2, y, z']], [['x, y, z', '-x+3/2, -y+1/2, z', 'y+1/2, x-1/2, -z+1/2', '-y+1, -x+1, -z+1/2', 'y+1/2, -x+1, -z+1/2', '-y+1, x-1/2, -z+1/2', 'x, -y+1/2, z', '-x+3/2, y, z'], ['x, y, z', '-x+1/2, -y+3/2, z', 'y-1/2, x+1/2, -z+3/2', '-y+1, -x+1, -z+3/2', 'y-1/2, -x+1, -z+3/2', '-y+1, x+1/2, -z+3/2', 'x, -y+3/2, z', '-x+1/2, y, z']], [['x, y, z', '-x+3/2, -y+1/2, z', 'y+1/2, x-1/2, -z+3/2', '-y+1, -x+1, -z+3/2', 'y+1/2, -x+1, -z+3/2', '-y+1, x-1/2, -z+3/2', 'x, -y+1/2, z', '-x+3/2, y, z'], ['x, y, z', '-x+1/2, -y+3/2, z', 'y-1/2, x+1/2, -z+1/2', '-y+1, -x+1, -z+1/2', 'y-1/2, -x+1, -z+1/2', '-y+1, x+1/2, -z+1/2', 'x, -y+3/2, z', '-x+1/2, y, z']]]\"\n138,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', 'y, x, z'], ['x, y, z', 'y, x, z'], ['x, y, z', '-y+1/2, -x+1/2, z'], ['x, y, z', '-y+1/2, -x+1/2, z'], ['x, y, z', '-y+1/2, -x+1/2, z'], ['x, y, z', '-y+1/2, -x+1/2, z'], ['x, y, z', 'y, x, z'], ['x, y, z', 'y, x, z']], [['x, y, z', '-y, -x, -z'], ['x, y, z', '-y+1, -x+1, -z'], ['x, y, z', 'y+1/2, x-1/2, -z+1'], ['x, y, z', 'y-1/2, x+1/2, -z+1'], ['x, y, z', '-y, -x, -z'], ['x, y, z', '-y+1, -x+1, -z'], ['x, y, z', 'y+1/2, x-1/2, -z+1'], ['x, y, z', 'y-1/2, x+1/2, -z+1']], [['x, y, z', '-y, -x, -z+1'], ['x, y, z', '-y+1, -x+1, -z+1'], ['x, y, z', 'y+1/2, x-1/2, -z'], ['x, y, z', 'y-1/2, x+1/2, -z'], ['x, y, z', '-y, -x, -z+1'], ['x, y, z', '-y+1, -x+1, -z+1'], ['x, y, z', 'y+1/2, x-1/2, -z'], ['x, y, z', 'y-1/2, x+1/2, -z']], [['x, y, z', '-x+3/2, -y+1/2, z'], ['x, y, z', '-x+1/2, -y+3/2, z'], ['x, y, z', '-x+1/2, -y+3/2, z'], ['x, y, z', '-x+3/2, -y+1/2, z'], ['x, y, z', '-x+1/2, -y+3/2, z'], ['x, y, z', '-x+3/2, -y+1/2, z'], ['x, y, z', '-x+3/2, -y+1/2, z'], ['x, y, z', '-x+1/2, -y+3/2, z']], [['x, y, z', '-x+1/2, -y+1/2, z', '-y+1/2, -x+1/2, z', 'y, x, z'], ['x, y, z', '-x+1/2, -y+1/2, z', '-y+1/2, -x+1/2, z', 'y, x, z'], ['x, y, z', '-x+3/2, -y+3/2, z', '-y+3/2, -x+3/2, z', 'y, x, z'], ['x, y, z', '-x+3/2, -y+3/2, z', '-y+3/2, -x+3/2, z', 'y, x, z']], [['x, y, z', '-y, -x, -z', '-x, -y, -z', 'y, x, z'], ['x, y, z', '-y+1, -x+1, -z', '-x+1, -y+1, -z', 'y, x, z'], ['x, y, z', 'y+1/2, x-1/2, -z+1', '-x+1, -y, -z+1', '-y+1/2, -x+1/2, z'], ['x, y, z', 'y-1/2, x+1/2, -z+1', '-x, -y+1, -z+1', '-y+1/2, -x+1/2, z']], [['x, y, z', '-y, -x, -z+1', '-x, -y, -z+1', 'y, x, z'], ['x, y, z', '-y+1, -x+1, -z+1', '-x+1, -y+1, -z+1', 'y, x, z'], ['x, y, z', 'y+1/2, x-1/2, -z', '-x+1, -y, -z', '-y+1/2, -x+1/2, z'], ['x, y, z', 'y-1/2, x+1/2, -z', '-x, -y+1, -z', '-y+1/2, -x+1/2, z']], [['x, y, z', '-x+3/2, -y+1/2, z', 'y+1/2, -x+1, -z+3/2', '-y+1, x-1/2, -z+3/2'], ['x, y, z', '-x+1/2, -y+3/2, z', 'y-1/2, -x+1, -z+1/2', '-y+1, x+1/2, -z+1/2'], ['x, y, z', '-x+1/2, -y+3/2, z', 'y-1/2, -x+1, -z+3/2', '-y+1, x+1/2, -z+3/2'], ['x, y, z', '-x+3/2, -y+1/2, z', 'y+1/2, -x+1, -z+1/2', '-y+1, x-1/2, -z+1/2']], [['x, y, z', '-x+3/2, -y+1/2, z', 'y+1/2, x-1/2, -z', '-y+1, -x+1, -z'], ['x, y, z', '-x+1/2, -y+3/2, z', 'y-1/2, x+1/2, -z+1', '-y+1, -x+1, -z+1'], ['x, y, z', '-x+1/2, -y+3/2, z', 'y-1/2, x+1/2, -z', '-y+1, -x+1, -z'], ['x, y, z', '-x+3/2, -y+1/2, z', 'y+1/2, x-1/2, -z+1', '-y+1, -x+1, -z+1']]]\"\n139,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-x, y, z'], ['x, y, z', '-x, y, z'], ['x, y, z', 'x, -y, z'], ['x, y, z', 'x, -y, z'], ['x, y, z', '-x, y, z'], ['x, y, z', '-x, y, z'], ['x, y, z', 'x, -y, z'], ['x, y, z', 'x, -y, z'], ['x, y, z', '-x+1, y, z'], ['x, y, z', '-x+1, y, z'], ['x, y, z', 'x, -y+1, z'], ['x, y, z', 'x, -y+1, z'], ['x, y, z', '-x+1, y, z'], ['x, y, z', '-x+1, y, z'], ['x, y, z', 'x, -y+1, z'], ['x, y, z', 'x, -y+1, z']], [['x, y, z', 'y, x, z'], ['x, y, z', 'y, x, z'], ['x, y, z', '-y, -x, z'], ['x, y, z', '-y, -x, z'], ['x, y, z', '-y, -x, z'], ['x, y, z', '-y, -x, z'], ['x, y, z', 'y, x, z'], ['x, y, z', 'y, x, z'], ['x, y, z', 'y, x, z'], ['x, y, z', 'y, x, z'], ['x, y, z', '-y+1, -x+1, z'], ['x, y, z', '-y+1, -x+1, z'], ['x, y, z', '-y+1, -x+1, z'], ['x, y, z', '-y+1, -x+1, z'], ['x, y, z', 'y, x, z'], ['x, y, z', 'y, x, z']], [['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1']], [['x, y, z', 'y-1/2, x+1/2, -z+1/2'], ['x, y, z', 'y-1/2, x+1/2, -z+1/2'], ['x, y, z', '-y+1/2, -x+1/2, -z+1/2'], ['x, y, z', '-y+1/2, -x+1/2, -z+1/2'], ['x, y, z', 'y-1/2, x+1/2, -z+3/2'], ['x, y, z', 'y-1/2, x+1/2, -z+3/2'], ['x, y, z', '-y+1/2, -x+1/2, -z+3/2'], ['x, y, z', '-y+1/2, -x+1/2, -z+3/2'], ['x, y, z', 'y-1/2, x+1/2, -z+3/2'], ['x, y, z', 'y-1/2, x+1/2, -z+3/2'], ['x, y, z', '-y+3/2, -x+3/2, -z+3/2'], ['x, y, z', '-y+3/2, -x+3/2, -z+3/2'], ['x, y, z', 'y-1/2, x+1/2, -z+5/2'], ['x, y, z', 'y-1/2, x+1/2, -z+5/2'], ['x, y, z', '-y+3/2, -x+3/2, -z+5/2'], ['x, y, z', '-y+3/2, -x+3/2, -z+5/2']], [['x, y, z', 'x, -y+1, -z', 'x, y, -z', 'x, -y+1, z'], ['x, y, z', 'x, -y+1, -z', 'x, y, -z', 'x, -y+1, z'], ['x, y, z', '-x+1, y, -z', 'x, y, -z', '-x+1, y, z'], ['x, y, z', '-x+1, y, -z', 'x, y, -z', '-x+1, y, z'], ['x, y, z', 'x, -y+2, -z+1', 'x, y, -z+1', 'x, -y+2, z'], ['x, y, z', 'x, -y+2, -z+1', 'x, y, -z+1', 'x, -y+2, z'], ['x, y, z', '-x+2, y, -z+1', 'x, y, -z+1', '-x+2, y, z'], ['x, y, z', '-x+2, y, -z+1', 'x, y, -z+1', '-x+2, y, z']], [['x, y, z', 'x, -y, -z', 'x, y, -z', 'x, -y, z'], ['x, y, z', 'x, -y, -z', 'x, y, -z', 'x, -y, z'], ['x, y, z', '-x, y, -z', 'x, y, -z', '-x, y, z'], ['x, y, z', '-x, y, -z', 'x, y, -z', '-x, y, z'], ['x, y, z', 'x, -y+1, -z+1', 'x, y, -z+1', 'x, -y+1, z'], ['x, y, z', 'x, -y+1, -z+1', 'x, y, -z+1', 'x, -y+1, z'], ['x, y, z', '-x+1, y, -z+1', 'x, y, -z+1', '-x+1, y, z'], ['x, y, z', '-x+1, y, -z+1', 'x, y, -z+1', '-x+1, y, z']], [['x, y, z', 'y, x, -z', 'x, y, -z', 'y, x, z'], ['x, y, z', 'y, x, -z', 'x, y, -z', 'y, x, z'], ['x, y, z', '-y, -x, -z', 'x, y, -z', '-y, -x, z'], ['x, y, z', '-y, -x, -z', 'x, y, -z', '-y, -x, z'], ['x, y, z', 'y, x, -z+1', 'x, y, -z+1', 'y, x, z'], ['x, y, z', 'y, x, -z+1', 'x, y, -z+1', 'y, x, z'], ['x, y, z', '-y+1, -x+1, -z+1', 'x, y, -z+1', '-y+1, -x+1, z'], ['x, y, z', '-y+1, -x+1, -z+1', 'x, y, -z+1', '-y+1, -x+1, z']], [['x, y, z', '-x, -y+1, z', 'x, -y+1, z', '-x, y, z'], ['x, y, z', '-x+1, -y, z', 'x, -y, z', '-x+1, y, z'], ['x, y, z', '-x, -y+1, z', 'x, -y+1, z', '-x, y, z'], ['x, y, z', '-x+1, -y, z', 'x, -y, z', '-x+1, y, z'], ['x, y, z', '-x+1, -y+2, z', 'x, -y+2, z', '-x+1, y, z'], ['x, y, z', '-x+2, -y+1, z', 'x, -y+1, z', '-x+2, y, z'], ['x, y, z', '-x+1, -y+2, z', 'x, -y+2, z', '-x+1, y, z'], ['x, y, z', '-x+2, -y+1, z', 'x, -y+1, z', '-x+2, y, z']], [['x, y, z', 'y, x, z', '-y+1/2, -x+1/2, -z+1/2', '-x+1/2, -y+1/2, -z+1/2'], ['x, y, z', 'y, x, z', '-y+3/2, -x+3/2, -z+1/2', '-x+3/2, -y+3/2, -z+1/2'], ['x, y, z', '-y+1, -x+1, z', 'y+1/2, x-1/2, -z+1/2', '-x+3/2, -y+1/2, -z+1/2'], ['x, y, z', '-y+1, -x+1, z', 'y-1/2, x+1/2, -z+1/2', '-x+1/2, -y+3/2, -z+1/2'], ['x, y, z', 'y, x, z', '-y+3/2, -x+3/2, -z+3/2', '-x+3/2, -y+3/2, -z+3/2'], ['x, y, z', 'y, x, z', '-y+5/2, -x+5/2, -z+3/2', '-x+5/2, -y+5/2, -z+3/2'], ['x, y, z', '-y+2, -x+2, z', 'y+1/2, x-1/2, -z+3/2', '-x+5/2, -y+3/2, -z+3/2'], ['x, y, z', '-y+2, -x+2, z', 'y-1/2, x+1/2, -z+3/2', '-x+3/2, -y+5/2, -z+3/2']], [['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z', 'x, -y, z', '-x, y, z', '-y, -x, z', 'y, x, z'], ['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z', 'x, -y, z', '-x, y, z', '-y, -x, z', 'y, x, z'], ['x, y, z', '-x+1, -y+1, z', '-y+1, x, z', 'y, -x+1, z', 'x, -y+1, z', '-x+1, y, z', '-y+1, -x+1, z', 'y, x, z'], ['x, y, z', '-x+1, -y+1, z', '-y+1, x, z', 'y, -x+1, z', 'x, -y+1, z', '-x+1, y, z', '-y+1, -x+1, z', 'y, x, z']], [['x, y, z', '-x, -y+1, z', 'x, -y+1, z', '-x, y, z', 'y-1/2, x+1/2, -z+1/2', '-y+1/2, -x+1/2, -z+1/2', 'y-1/2, -x+1/2, -z+1/2', '-y+1/2, x+1/2, -z+1/2'], ['x, y, z', '-x+1, -y, z', 'x, -y, z', '-x+1, y, z', 'y+1/2, x-1/2, -z+1/2', '-y+1/2, -x+1/2, -z+1/2', 'y+1/2, -x+1/2, -z+1/2', '-y+1/2, x-1/2, -z+1/2'], ['x, y, z', '-x+1, -y+2, z', 'x, -y+2, z', '-x+1, y, z', 'y-1/2, x+1/2, -z+3/2', '-y+3/2, -x+3/2, -z+3/2', 'y-1/2, -x+3/2, -z+3/2', '-y+3/2, x+1/2, -z+3/2'], ['x, y, z', '-x+2, -y+1, z', 'x, -y+1, z', '-x+2, y, z', 'y+1/2, x-1/2, -z+3/2', '-y+3/2, -x+3/2, -z+3/2', 'y+1/2, -x+3/2, -z+3/2', '-y+3/2, x-1/2, -z+3/2']], [['x, y, z', '-x, -y+1, z', '-x, y, -z', 'x, -y+1, -z', '-x, -y+1, -z', 'x, y, -z', 'x, -y+1, z', '-x, y, z'], ['x, y, z', '-x+1, -y, z', '-x+1, y, -z', 'x, -y, -z', '-x+1, -y, -z', 'x, y, -z', 'x, -y, z', '-x+1, y, z'], ['x, y, z', '-x+1, -y+2, z', '-x+1, y, -z+1', 'x, -y+2, -z+1', '-x+1, -y+2, -z+1', 'x, y, -z+1', 'x, -y+2, z', '-x+1, y, z'], ['x, y, z', '-x+2, -y+1, z', '-x+2, y, -z+1', 'x, -y+1, -z+1', '-x+2, -y+1, -z+1', 'x, y, -z+1', 'x, -y+1, z', '-x+2, y, z']], [['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z', '-x, y, -z+1', 'x, -y, -z+1', 'y, x, -z+1', '-y, -x, -z+1', '-x, -y, -z+1', 'x, y, -z+1', 'y, -x, -z+1', '-y, x, -z+1', 'x, -y, z', '-x, y, z', '-y, -x, z', 'y, x, z'], ['x, y, z', '-x+1, -y+1, z', '-y+1, x, z', 'y, -x+1, z', '-x+1, y, -z+2', 'x, -y+1, -z+2', 'y, x, -z+2', '-y+1, -x+1, -z+2', '-x+1, -y+1, -z+2', 'x, y, -z+2', 'y, -x+1, -z+2', '-y+1, x, -z+2', 'x, -y+1, z', '-x+1, y, z', '-y+1, -x+1, z', 'y, x, z']], [['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z', '-x, y, -z', 'x, -y, -z', 'y, x, -z', '-y, -x, -z', '-x, -y, -z', 'x, y, -z', 'y, -x, -z', '-y, x, -z', 'x, -y, z', '-x, y, z', '-y, -x, z', 'y, x, z'], ['x, y, z', '-x+1, -y+1, z', '-y+1, x, z', 'y, -x+1, z', '-x+1, y, -z+1', 'x, -y+1, -z+1', 'y, x, -z+1', '-y+1, -x+1, -z+1', '-x+1, -y+1, -z+1', 'x, y, -z+1', 'y, -x+1, -z+1', '-y+1, x, -z+1', 'x, -y+1, z', '-x+1, y, z', '-y+1, -x+1, z', 'y, x, z']]]\"\n140,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', 'y-1/2, x+1/2, z'], ['x, y, z', 'y-1/2, x+1/2, z'], ['x, y, z', '-y+1/2, -x+1/2, z'], ['x, y, z', '-y+1/2, -x+1/2, z'], ['x, y, z', '-y+1/2, -x+1/2, z'], ['x, y, z', '-y+1/2, -x+1/2, z'], ['x, y, z', 'y+1/2, x-1/2, z'], ['x, y, z', 'y+1/2, x-1/2, z'], ['x, y, z', 'y-1/2, x+1/2, z'], ['x, y, z', 'y-1/2, x+1/2, z'], ['x, y, z', '-y+3/2, -x+3/2, z'], ['x, y, z', '-y+3/2, -x+3/2, z'], ['x, y, z', '-y+3/2, -x+3/2, z'], ['x, y, z', '-y+3/2, -x+3/2, z'], ['x, y, z', 'y+1/2, x-1/2, z'], ['x, y, z', 'y+1/2, x-1/2, z']], [['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+2'], ['x, y, z', 'x, y, -z+2'], ['x, y, z', 'x, y, -z+2'], ['x, y, z', 'x, y, -z+2']], [['x, y, z', 'x, -y, -z+1/2'], ['x, y, z', 'x, -y, -z+1/2'], ['x, y, z', '-x, y, -z+1/2'], ['x, y, z', '-x, y, -z+1/2'], ['x, y, z', 'x, -y, -z+3/2'], ['x, y, z', 'x, -y, -z+3/2'], ['x, y, z', '-x, y, -z+3/2'], ['x, y, z', '-x, y, -z+3/2'], ['x, y, z', 'x, -y+1, -z+3/2'], ['x, y, z', 'x, -y+1, -z+3/2'], ['x, y, z', '-x+1, y, -z+3/2'], ['x, y, z', '-x+1, y, -z+3/2'], ['x, y, z', 'x, -y+1, -z+5/2'], ['x, y, z', 'x, -y+1, -z+5/2'], ['x, y, z', '-x+1, y, -z+5/2'], ['x, y, z', '-x+1, y, -z+5/2']], [['x, y, z', 'y, x, -z+1/2'], ['x, y, z', 'y, x, -z+1/2'], ['x, y, z', '-y, -x, -z+1/2'], ['x, y, z', '-y, -x, -z+1/2'], ['x, y, z', 'y, x, -z+3/2'], ['x, y, z', 'y, x, -z+3/2'], ['x, y, z', '-y, -x, -z+3/2'], ['x, y, z', '-y, -x, -z+3/2'], ['x, y, z', 'y, x, -z+3/2'], ['x, y, z', 'y, x, -z+3/2'], ['x, y, z', '-y+1, -x+1, -z+3/2'], ['x, y, z', '-y+1, -x+1, -z+3/2'], ['x, y, z', 'y, x, -z+5/2'], ['x, y, z', 'y, x, -z+5/2'], ['x, y, z', '-y+1, -x+1, -z+5/2'], ['x, y, z', '-y+1, -x+1, -z+5/2']], [['x, y, z', 'x, y, -z', 'y-1/2, x+1/2, -z', 'y-1/2, x+1/2, z'], ['x, y, z', 'x, y, -z', 'y-1/2, x+1/2, -z', 'y-1/2, x+1/2, z'], ['x, y, z', 'x, y, -z', '-y+1/2, -x+1/2, -z', '-y+1/2, -x+1/2, z'], ['x, y, z', 'x, y, -z', '-y+1/2, -x+1/2, -z', '-y+1/2, -x+1/2, z'], ['x, y, z', 'x, y, -z+1', 'y-1/2, x+1/2, -z+1', 'y-1/2, x+1/2, z'], ['x, y, z', 'x, y, -z+1', 'y-1/2, x+1/2, -z+1', 'y-1/2, x+1/2, z'], ['x, y, z', 'x, y, -z+1', '-y+3/2, -x+3/2, -z+1', '-y+3/2, -x+3/2, z'], ['x, y, z', 'x, y, -z+1', '-y+3/2, -x+3/2, -z+1', '-y+3/2, -x+3/2, z']], [['x, y, z', '-x, -y+1, z', '-y+1/2, -x+1/2, z', 'y-1/2, x+1/2, z'], ['x, y, z', '-x+1, -y, z', '-y+1/2, -x+1/2, z', 'y+1/2, x-1/2, z'], ['x, y, z', '-x, -y+1, z', '-y+1/2, -x+1/2, z', 'y-1/2, x+1/2, z'], ['x, y, z', '-x+1, -y, z', '-y+1/2, -x+1/2, z', 'y+1/2, x-1/2, z'], ['x, y, z', '-x+1, -y+2, z', '-y+3/2, -x+3/2, z', 'y-1/2, x+1/2, z'], ['x, y, z', '-x+2, -y+1, z', '-y+3/2, -x+3/2, z', 'y+1/2, x-1/2, z'], ['x, y, z', '-x+1, -y+2, z', '-y+3/2, -x+3/2, z', 'y-1/2, x+1/2, z'], ['x, y, z', '-x+2, -y+1, z', '-y+3/2, -x+3/2, z', 'y+1/2, x-1/2, z']], [['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z'], ['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z'], ['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z'], ['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z'], ['x, y, z', '-x+1, -y+1, z', '-y+1, x, z', 'y, -x+1, z'], ['x, y, z', '-x+1, -y+1, z', '-y+1, x, z', 'y, -x+1, z'], ['x, y, z', '-x+1, -y+1, z', '-y+1, x, z', 'y, -x+1, z'], ['x, y, z', '-x+1, -y+1, z', '-y+1, x, z', 'y, -x+1, z']], [['x, y, z', 'y, x, -z+1/2', '-x+1/2, -y+1/2, -z+1/2', '-y+1/2, -x+1/2, z'], ['x, y, z', 'y, x, -z+1/2', '-x+3/2, -y+3/2, -z+1/2', '-y+3/2, -x+3/2, z'], ['x, y, z', '-y+1, -x+1, -z+1/2', '-x+3/2, -y+1/2, -z+1/2', 'y+1/2, x-1/2, z'], ['x, y, z', '-y+1, -x+1, -z+1/2', '-x+1/2, -y+3/2, -z+1/2', 'y-1/2, x+1/2, z'], ['x, y, z', 'y, x, -z+3/2', '-x+3/2, -y+3/2, -z+3/2', '-y+3/2, -x+3/2, z'], ['x, y, z', 'y, x, -z+3/2', '-x+5/2, -y+5/2, -z+3/2', '-y+5/2, -x+5/2, z'], ['x, y, z', '-y+2, -x+2, -z+3/2', '-x+5/2, -y+3/2, -z+3/2', 'y+1/2, x-1/2, z'], ['x, y, z', '-y+2, -x+2, -z+3/2', '-x+3/2, -y+5/2, -z+3/2', 'y-1/2, x+1/2, z']], [['x, y, z', '-x, -y+1, z', '-x, -y+1, -z', 'x, y, -z', 'y-1/2, x+1/2, -z', '-y+1/2, -x+1/2, -z', '-y+1/2, -x+1/2, z', 'y-1/2, x+1/2, z'], ['x, y, z', '-x+1, -y, z', '-x+1, -y, -z', 'x, y, -z', 'y+1/2, x-1/2, -z', '-y+1/2, -x+1/2, -z', '-y+1/2, -x+1/2, z', 'y+1/2, x-1/2, z'], ['x, y, z', '-x+1, -y+2, z', '-x+1, -y+2, -z+1', 'x, y, -z+1', 'y-1/2, x+1/2, -z+1', '-y+3/2, -x+3/2, -z+1', '-y+3/2, -x+3/2, z', 'y-1/2, x+1/2, z'], ['x, y, z', '-x+2, -y+1, z', '-x+2, -y+1, -z+1', 'x, y, -z+1', 'y+1/2, x-1/2, -z+1', '-y+3/2, -x+3/2, -z+1', '-y+3/2, -x+3/2, z', 'y+1/2, x-1/2, z']], [['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z', '-x, -y, -z', 'x, y, -z', 'y, -x, -z', '-y, x, -z'], ['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z', '-x, -y, -z+1', 'x, y, -z+1', 'y, -x, -z+1', '-y, x, -z+1'], ['x, y, z', '-x+1, -y+1, z', '-y+1, x, z', 'y, -x+1, z', '-x+1, -y+1, -z+1', 'x, y, -z+1', 'y, -x+1, -z+1', '-y+1, x, -z+1'], ['x, y, z', '-x+1, -y+1, z', '-y+1, x, z', 'y, -x+1, z', '-x+1, -y+1, -z+2', 'x, y, -z+2', 'y, -x+1, -z+2', '-y+1, x, -z+2']], [['x, y, z', '-x, -y+1, z', '-x, y, -z+1/2', 'x, -y+1, -z+1/2', 'y-1/2, -x+1/2, -z+1/2', '-y+1/2, x+1/2, -z+1/2', '-y+1/2, -x+1/2, z', 'y-1/2, x+1/2, z'], ['x, y, z', '-x+1, -y, z', '-x+1, y, -z+1/2', 'x, -y, -z+1/2', 'y+1/2, -x+1/2, -z+1/2', '-y+1/2, x-1/2, -z+1/2', '-y+1/2, -x+1/2, z', 'y+1/2, x-1/2, z'], ['x, y, z', '-x+1, -y+2, z', '-x+1, y, -z+3/2', 'x, -y+2, -z+3/2', 'y-1/2, -x+3/2, -z+3/2', '-y+3/2, x+1/2, -z+3/2', '-y+3/2, -x+3/2, z', 'y-1/2, x+1/2, z'], ['x, y, z', '-x+2, -y+1, z', '-x+2, y, -z+3/2', 'x, -y+1, -z+3/2', 'y+1/2, -x+3/2, -z+3/2', '-y+3/2, x-1/2, -z+3/2', '-y+3/2, -x+3/2, z', 'y+1/2, x-1/2, z']], [['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z', '-x, y, -z+1/2', 'x, -y, -z+1/2', 'y, x, -z+1/2', '-y, -x, -z+1/2'], ['x, y, z', '-x, -y, z', '-y, x, z', 'y, -x, z', '-x, y, -z+3/2', 'x, -y, -z+3/2', 'y, x, -z+3/2', '-y, -x, -z+3/2'], ['x, y, z', '-x+1, -y+1, z', '-y+1, x, z', 'y, -x+1, z', '-x+1, y, -z+3/2', 'x, -y+1, -z+3/2', 'y, x, -z+3/2', '-y+1, -x+1, -z+3/2'], ['x, y, z', '-x+1, -y+1, z', '-y+1, x, z', 'y, -x+1, z', '-x+1, y, -z+5/2', 'x, -y+1, -z+5/2', 'y, x, -z+5/2', '-y+1, -x+1, -z+5/2']]]\"\n141,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-x, y, z'], ['x, y, z', '-x+1, y, z'], ['x, y, z', 'x, -y+3/2, z'], ['x, y, z', 'x, -y+1/2, z'], ['x, y, z', '-x+1, y, z'], ['x, y, z', '-x, y, z'], ['x, y, z', 'x, -y+3/2, z'], ['x, y, z', 'x, -y+1/2, z'], ['x, y, z', '-x+1, y, z'], ['x, y, z', '-x+2, y, z'], ['x, y, z', 'x, -y+5/2, z'], ['x, y, z', 'x, -y+3/2, z'], ['x, y, z', '-x+2, y, z'], ['x, y, z', '-x+1, y, z'], ['x, y, z', 'x, -y+5/2, z'], ['x, y, z', 'x, -y+3/2, z']], [['x, y, z', 'y-1/4, x+1/4, -z+7/4'], ['x, y, z', 'y-1/4, x+1/4, -z+3/4'], ['x, y, z', '-y+3/4, -x+3/4, -z+1/4'], ['x, y, z', '-y+3/4, -x+3/4, -z+5/4'], ['x, y, z', 'y-3/4, x+3/4, -z+1/4'], ['x, y, z', 'y+1/4, x-1/4, -z+5/4'], ['x, y, z', '-y+1/4, -x+1/4, -z+7/4'], ['x, y, z', '-y+5/4, -x+5/4, -z+3/4'], ['x, y, z', 'y-1/4, x+1/4, -z+11/4'], ['x, y, z', 'y-1/4, x+1/4, -z+7/4'], ['x, y, z', '-y+7/4, -x+7/4, -z+5/4'], ['x, y, z', '-y+7/4, -x+7/4, -z+9/4'], ['x, y, z', 'y-3/4, x+3/4, -z+5/4'], ['x, y, z', 'y+1/4, x-1/4, -z+9/4'], ['x, y, z', '-y+5/4, -x+5/4, -z+11/4'], ['x, y, z', '-y+9/4, -x+9/4, -z+7/4']], [['x, y, z', 'x, -y, -z'], ['x, y, z', 'x, -y, -z+1'], ['x, y, z', '-x+1/2, y, -z+1/2'], ['x, y, z', '-x+1/2, y, -z+3/2'], ['x, y, z', 'x, -y, -z'], ['x, y, z', 'x, -y, -z+1'], ['x, y, z', '-x+3/2, y, -z+3/2'], ['x, y, z', '-x+3/2, y, -z+1/2'], ['x, y, z', 'x, -y+1, -z+1'], ['x, y, z', 'x, -y+1, -z+2'], ['x, y, z', '-x+3/2, y, -z+3/2'], ['x, y, z', '-x+3/2, y, -z+5/2'], ['x, y, z', 'x, -y+1, -z+1'], ['x, y, z', 'x, -y+1, -z+2'], ['x, y, z', '-x+5/2, y, -z+5/2'], ['x, y, z', '-x+5/2, y, -z+3/2']], [['x, y, z', '-x, y, z', '-x, -y+1/2, z', 'x, -y+1/2, z'], ['x, y, z', '-x, y, z', '-x, -y+3/2, z', 'x, -y+3/2, z'], ['x, y, z', '-x+1, y, z', '-x+1, -y+1/2, z', 'x, -y+1/2, z'], ['x, y, z', '-x+1, y, z', '-x+1, -y+3/2, z', 'x, -y+3/2, z'], ['x, y, z', '-x+1, y, z', '-x+1, -y+3/2, z', 'x, -y+3/2, z'], ['x, y, z', '-x+1, y, z', '-x+1, -y+5/2, z', 'x, -y+5/2, z'], ['x, y, z', '-x+2, y, z', '-x+2, -y+3/2, z', 'x, -y+3/2, z'], ['x, y, z', '-x+2, y, z', '-x+2, -y+5/2, z', 'x, -y+5/2, z']], [['x, y, z', 'x, -y, -z+1', '-x, -y, -z+1', '-x, y, z'], ['x, y, z', 'x, -y, -z', '-x+1, -y, -z', '-x+1, y, z'], ['x, y, z', '-x+1/2, y, -z+3/2', '-x+1/2, -y+3/2, -z+3/2', 'x, -y+3/2, z'], ['x, y, z', '-x+1/2, y, -z+1/2', '-x+1/2, -y+1/2, -z+1/2', 'x, -y+1/2, z'], ['x, y, z', 'x, -y+1, -z+2', '-x+1, -y+1, -z+2', '-x+1, y, z'], ['x, y, z', 'x, -y+1, -z+1', '-x+2, -y+1, -z+1', '-x+2, y, z'], ['x, y, z', '-x+3/2, y, -z+5/2', '-x+3/2, -y+5/2, -z+5/2', 'x, -y+5/2, z'], ['x, y, z', '-x+3/2, y, -z+3/2', '-x+3/2, -y+3/2, -z+3/2', 'x, -y+3/2, z']], [['x, y, z', 'x, -y, -z', '-x, -y, -z', '-x, y, z'], ['x, y, z', 'x, -y, -z+1', '-x+1, -y, -z+1', '-x+1, y, z'], ['x, y, z', '-x+1/2, y, -z+1/2', '-x+1/2, -y+3/2, -z+1/2', 'x, -y+3/2, z'], ['x, y, z', '-x+1/2, y, -z+3/2', '-x+1/2, -y+1/2, -z+3/2', 'x, -y+1/2, z'], ['x, y, z', 'x, -y+1, -z+1', '-x+1, -y+1, -z+1', '-x+1, y, z'], ['x, y, z', 'x, -y+1, -z+2', '-x+2, -y+1, -z+2', '-x+2, y, z'], ['x, y, z', '-x+3/2, y, -z+3/2', '-x+3/2, -y+5/2, -z+3/2', 'x, -y+5/2, z'], ['x, y, z', '-x+3/2, y, -z+5/2', '-x+3/2, -y+3/2, -z+5/2', 'x, -y+3/2, z']], [['x, y, z', '-y+1/4, -x+1/4, -z+3/4', 'y-1/4, -x+1/4, -z+3/4', '-x, y, z', '-x, -y+1/2, z', 'y-1/4, x+1/4, -z+3/4', '-y+1/4, x+1/4, -z+3/4', 'x, -y+1/2, z'], ['x, y, z', 'y-3/4, x+3/4, -z+5/4', '-y+3/4, x+3/4, -z+5/4', '-x, y, z', '-x, -y+3/2, z', '-y+3/4, -x+3/4, -z+5/4', 'y-3/4, -x+3/4, -z+5/4', 'x, -y+3/2, z'], ['x, y, z', '-y+5/4, -x+5/4, -z+7/4', 'y-1/4, -x+5/4, -z+7/4', '-x+1, y, z', '-x+1, -y+3/2, z', 'y-1/4, x+1/4, -z+7/4', '-y+5/4, x+1/4, -z+7/4', 'x, -y+3/2, z'], ['x, y, z', 'y-3/4, x+3/4, -z+9/4', '-y+7/4, x+3/4, -z+9/4', '-x+1, y, z', '-x+1, -y+5/2, z', '-y+7/4, -x+7/4, -z+9/4', 'y-3/4, -x+7/4, -z+9/4', 'x, -y+5/2, z']], [['x, y, z', 'y-3/4, x+3/4, -z+1/4', '-y+3/4, x+3/4, -z+1/4', '-x, y, z', '-x, -y+3/2, z', '-y+3/4, -x+3/4, -z+1/4', 'y-3/4, -x+3/4, -z+1/4', 'x, -y+3/2, z'], ['x, y, z', '-y+5/4, -x+5/4, -z+3/4', 'y-1/4, -x+5/4, -z+3/4', '-x+1, y, z', '-x+1, -y+3/2, z', 'y-1/4, x+1/4, -z+3/4', '-y+5/4, x+1/4, -z+3/4', 'x, -y+3/2, z'], ['x, y, z', 'y-3/4, x+3/4, -z+5/4', '-y+7/4, x+3/4, -z+5/4', '-x+1, y, z', '-x+1, -y+5/2, z', '-y+7/4, -x+7/4, -z+5/4', 'y-3/4, -x+7/4, -z+5/4', 'x, -y+5/2, z'], ['x, y, z', '-y+9/4, -x+9/4, -z+7/4', 'y-1/4, -x+9/4, -z+7/4', '-x+2, y, z', '-x+2, -y+5/2, z', 'y-1/4, x+1/4, -z+7/4', '-y+9/4, x+1/4, -z+7/4', 'x, -y+5/2, z']]]\"\n142,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', 'y-1/4, x+1/4, -z+1/4'], ['x, y, z', 'y-1/4, x+1/4, -z+5/4'], ['x, y, z', '-y+3/4, -x+3/4, -z+3/4'], ['x, y, z', '-y+3/4, -x+3/4, -z+7/4'], ['x, y, z', 'y-3/4, x+3/4, -z+7/4'], ['x, y, z', 'y+1/4, x-1/4, -z+3/4'], ['x, y, z', '-y+1/4, -x+1/4, -z+5/4'], ['x, y, z', '-y+5/4, -x+5/4, -z+1/4'], ['x, y, z', 'y-1/4, x+1/4, -z+5/4'], ['x, y, z', 'y-1/4, x+1/4, -z+9/4'], ['x, y, z', '-y+7/4, -x+7/4, -z+7/4'], ['x, y, z', '-y+7/4, -x+7/4, -z+11/4'], ['x, y, z', 'y-3/4, x+3/4, -z+11/4'], ['x, y, z', 'y+1/4, x-1/4, -z+7/4'], ['x, y, z', '-y+5/4, -x+5/4, -z+9/4'], ['x, y, z', '-y+9/4, -x+9/4, -z+5/4']], [['x, y, z', 'x, -y, -z+1/2'], ['x, y, z', 'x, -y, -z+3/2'], ['x, y, z', '-x+1/2, y, -z+1'], ['x, y, z', '-x+1/2, y, -z'], ['x, y, z', 'x, -y, -z+3/2'], ['x, y, z', 'x, -y, -z+1/2'], ['x, y, z', '-x+3/2, y, -z+1'], ['x, y, z', '-x+3/2, y, -z'], ['x, y, z', 'x, -y+1, -z+3/2'], ['x, y, z', 'x, -y+1, -z+5/2'], ['x, y, z', '-x+3/2, y, -z+2'], ['x, y, z', '-x+3/2, y, -z+1'], ['x, y, z', 'x, -y+1, -z+5/2'], ['x, y, z', 'x, -y+1, -z+3/2'], ['x, y, z', '-x+5/2, y, -z+2'], ['x, y, z', '-x+5/2, y, -z+1']], [['x, y, z', '-x, -y+1/2, z'], ['x, y, z', '-x, -y+3/2, z'], ['x, y, z', '-x+1, -y+1/2, z'], ['x, y, z', '-x+1, -y+3/2, z'], ['x, y, z', '-x, -y+3/2, z'], ['x, y, z', '-x, -y+1/2, z'], ['x, y, z', '-x+1, -y+3/2, z'], ['x, y, z', '-x+1, -y+1/2, z'], ['x, y, z', '-x+1, -y+3/2, z'], ['x, y, z', '-x+1, -y+5/2, z'], ['x, y, z', '-x+2, -y+3/2, z'], ['x, y, z', '-x+2, -y+5/2, z'], ['x, y, z', '-x+1, -y+5/2, z'], ['x, y, z', '-x+1, -y+3/2, z'], ['x, y, z', '-x+2, -y+5/2, z'], ['x, y, z', '-x+2, -y+3/2, z']], [['x, y, z', '-x, -y, -z'], ['x, y, z', '-x+1, -y, -z+1'], ['x, y, z', '-x+1/2, -y+3/2, -z+1/2'], ['x, y, z', '-x+1/2, -y+1/2, -z+3/2'], ['x, y, z', '-x+1, -y, -z'], ['x, y, z', '-x, -y, -z+1'], ['x, y, z', '-x+1/2, -y+3/2, -z+3/2'], ['x, y, z', '-x+1/2, -y+1/2, -z+1/2'], ['x, y, z', '-x+1, -y+1, -z+1'], ['x, y, z', '-x+2, -y+1, -z+2'], ['x, y, z', '-x+3/2, -y+5/2, -z+3/2'], ['x, y, z', '-x+3/2, -y+3/2, -z+5/2'], ['x, y, z', '-x+2, -y+1, -z+1'], ['x, y, z', '-x+1, -y+1, -z+2'], ['x, y, z', '-x+3/2, -y+5/2, -z+5/2'], ['x, y, z', '-x+3/2, -y+3/2, -z+3/2']], [['x, y, z', '-y+1/4, -x+1/4, -z+1/4', '-x, -y+1/2, z', 'y-1/4, x+1/4, -z+1/4'], ['x, y, z', 'y-3/4, x+3/4, -z+3/4', '-x, -y+3/2, z', '-y+3/4, -x+3/4, -z+3/4'], ['x, y, z', 'y-3/4, x+3/4, -z+7/4', '-x, -y+3/2, z', '-y+3/4, -x+3/4, -z+7/4'], ['x, y, z', '-y+1/4, -x+1/4, -z+5/4', '-x, -y+1/2, z', 'y-1/4, x+1/4, -z+5/4'], ['x, y, z', '-y+5/4, -x+5/4, -z+5/4', '-x+1, -y+3/2, z', 'y-1/4, x+1/4, -z+5/4'], ['x, y, z', 'y-3/4, x+3/4, -z+7/4', '-x+1, -y+5/2, z', '-y+7/4, -x+7/4, -z+7/4'], ['x, y, z', 'y-3/4, x+3/4, -z+11/4', '-x+1, -y+5/2, z', '-y+7/4, -x+7/4, -z+11/4'], ['x, y, z', '-y+5/4, -x+5/4, -z+9/4', '-x+1, -y+3/2, z', 'y-1/4, x+1/4, -z+9/4']], [['x, y, z', 'y-1/4, -x+1/4, -z+3/4', '-x, -y+1/2, z', '-y+1/4, x+1/4, -z+3/4'], ['x, y, z', '-y+3/4, x+3/4, -z+5/4', '-x, -y+3/2, z', 'y-3/4, -x+3/4, -z+5/4'], ['x, y, z', '-y+3/4, x-1/4, -z+5/4', '-x+1, -y+1/2, z', 'y+1/4, -x+3/4, -z+5/4'], ['x, y, z', 'y-1/4, -x+5/4, -z+3/4', '-x+1, -y+3/2, z', '-y+5/4, x+1/4, -z+3/4'], ['x, y, z', 'y-1/4, -x+5/4, -z+7/4', '-x+1, -y+3/2, z', '-y+5/4, x+1/4, -z+7/4'], ['x, y, z', '-y+7/4, x+3/4, -z+9/4', '-x+1, -y+5/2, z', 'y-3/4, -x+7/4, -z+9/4'], ['x, y, z', '-y+7/4, x-1/4, -z+9/4', '-x+2, -y+3/2, z', 'y+1/4, -x+7/4, -z+9/4'], ['x, y, z', 'y-1/4, -x+9/4, -z+7/4', '-x+2, -y+5/2, z', '-y+9/4, x+1/4, -z+7/4']]]\"\n143,\"[[['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-y+1, x-y, z', '-x+y+1, -x+1, z']], [['x, y, z', '-y+1, x-y+1, z', '-x+y, -x+1, z']], [['x, y, z', '-y, x-y, z', '-x+y, -x, z']]]\"\n144,\"[[['x, y, z'], ['x, y, z'], ['x, y, z']]]\"\n145,\"[[['x, y, z'], ['x, y, z'], ['x, y, z']]]\"\n146,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-y, x-y, z', '-x+y, -x, z'], ['x, y, z', '-y+1, x-y, z', '-x+y+1, -x+1, z'], ['x, y, z', '-y+1, x-y+1, z', '-x+y, -x+1, z']]]\"\n147,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-x+1, -y, -z+1'], ['x, y, z', '-x, -y+1, -z+1'], ['x, y, z', '-x+1, -y+1, -z+1']], [['x, y, z', '-x+1, -y, -z'], ['x, y, z', '-x, -y+1, -z'], ['x, y, z', '-x+1, -y+1, -z']], [['x, y, z', '-y+1, x-y+1, z', '-x+y, -x+1, z'], ['x, y, z', '-y+1, x-y, z', '-x+y+1, -x+1, z']], [['x, y, z', '-y, x-y, z', '-x+y, -x, z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z']], [['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, -z+1', 'y, -x+y, -z+1', 'x-y, x, -z+1']], [['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, -z', 'y, -x+y, -z', 'x-y, x, -z']]]\"\n148,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-x+1, -y, -z'], ['x, y, z', '-x, -y+1, -z'], ['x, y, z', '-x+1, -y+1, -z'], ['x, y, z', '-x+7/3, -y+2/3, -z+2/3'], ['x, y, z', '-x+4/3, -y+5/3, -z+2/3'], ['x, y, z', '-x+7/3, -y+5/3, -z+2/3'], ['x, y, z', '-x+5/3, -y+4/3, -z+4/3'], ['x, y, z', '-x+2/3, -y+7/3, -z+4/3'], ['x, y, z', '-x+5/3, -y+7/3, -z+4/3']], [['x, y, z', '-x+1, -y, -z+1'], ['x, y, z', '-x, -y+1, -z+1'], ['x, y, z', '-x+1, -y+1, -z+1'], ['x, y, z', '-x+7/3, -y+2/3, -z+5/3'], ['x, y, z', '-x+4/3, -y+5/3, -z+5/3'], ['x, y, z', '-x+7/3, -y+5/3, -z+5/3'], ['x, y, z', '-x+5/3, -y+4/3, -z+7/3'], ['x, y, z', '-x+2/3, -y+7/3, -z+7/3'], ['x, y, z', '-x+5/3, -y+7/3, -z+7/3']], [['x, y, z', '-y, x-y, z', '-x+y, -x, z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z'], ['x, y, z', '-y+1, x-y, z', '-x+y+1, -x+1, z'], ['x, y, z', '-y+1, x-y, z', '-x+y+1, -x+1, z'], ['x, y, z', '-y+1, x-y+1, z', '-x+y, -x+1, z'], ['x, y, z', '-y+1, x-y+1, z', '-x+y, -x+1, z']], [['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, -z+1', 'y, -x+y, -z+1', 'x-y, x, -z+1'], ['x, y, z', '-y+1, x-y, z', '-x+y+1, -x+1, z', '-x+4/3, -y+2/3, -z+5/3', 'y+1/3, -x+y+2/3, -z+5/3', 'x-y+1/3, x-1/3, -z+5/3'], ['x, y, z', '-y+1, x-y+1, z', '-x+y, -x+1, z', '-x+2/3, -y+4/3, -z+7/3', 'y-1/3, -x+y+1/3, -z+7/3', 'x-y+2/3, x+1/3, -z+7/3']], [['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, -z', 'y, -x+y, -z', 'x-y, x, -z'], ['x, y, z', '-y+1, x-y, z', '-x+y+1, -x+1, z', '-x+4/3, -y+2/3, -z+2/3', 'y+1/3, -x+y+2/3, -z+2/3', 'x-y+1/3, x-1/3, -z+2/3'], ['x, y, z', '-y+1, x-y+1, z', '-x+y, -x+1, z', '-x+2/3, -y+4/3, -z+4/3', 'y-1/3, -x+y+1/3, -z+4/3', 'x-y+2/3, x+1/3, -z+4/3']]]\"\n149,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-y, -x, -z+1'], ['x, y, z', '-x+y, y, -z+1'], ['x, y, z', 'x, x-y, -z+1']], [['x, y, z', '-y, -x, -z'], ['x, y, z', '-x+y, y, -z'], ['x, y, z', 'x, x-y, -z']], [['x, y, z', '-y+1, x-y, z', '-x+y+1, -x+1, z'], ['x, y, z', '-y+1, x-y, z', '-x+y+1, -x+1, z']], [['x, y, z', '-y+1, x-y+1, z', '-x+y, -x+1, z'], ['x, y, z', '-y+1, x-y+1, z', '-x+y, -x+1, z']], [['x, y, z', '-y, x-y, z', '-x+y, -x, z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z']], [['x, y, z', '-y+1, x-y, z', '-x+y+1, -x+1, z', '-y+1, -x+1, -z+1', '-x+y+1, y, -z+1', 'x, x-y, -z+1']], [['x, y, z', '-y+1, x-y, z', '-x+y+1, -x+1, z', '-y+1, -x+1, -z', '-x+y+1, y, -z', 'x, x-y, -z']], [['x, y, z', '-y+1, x-y+1, z', '-x+y, -x+1, z', '-y+1, -x+1, -z+1', '-x+y, y, -z+1', 'x, x-y+1, -z+1']], [['x, y, z', '-y+1, x-y+1, z', '-x+y, -x+1, z', '-y+1, -x+1, -z', '-x+y, y, -z', 'x, x-y+1, -z']], [['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-y, -x, -z+1', '-x+y, y, -z+1', 'x, x-y, -z+1']], [['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-y, -x, -z', '-x+y, y, -z', 'x, x-y, -z']]]\"\n150,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', 'x-y, -y, -z+1'], ['x, y, z', '-x, -x+y, -z+1'], ['x, y, z', 'y, x, -z+1']], [['x, y, z', 'x-y, -y, -z'], ['x, y, z', '-x, -x+y, -z'], ['x, y, z', 'y, x, -z']], [['x, y, z', '-y+1, x-y+1, z', '-x+y, -x+1, z'], ['x, y, z', '-y+1, x-y, z', '-x+y+1, -x+1, z']], [['x, y, z', '-y, x-y, z', '-x+y, -x, z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z']], [['x, y, z', '-y, x-y, z', '-x+y, -x, z', 'y, x, -z+1', 'x-y, -y, -z+1', '-x, -x+y, -z+1']], [['x, y, z', '-y, x-y, z', '-x+y, -x, z', 'y, x, -z', 'x-y, -y, -z', '-x, -x+y, -z']]]\"\n151,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-y, -x, -z+5/3'], ['x, y, z', '-x+y, y, -z+1/3'], ['x, y, z', 'x, x-y, -z+1']], [['x, y, z', '-y, -x, -z+2/3'], ['x, y, z', '-x+y, y, -z+4/3'], ['x, y, z', 'x, x-y, -z']]]\"\n152,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', 'x-y, -y, -z+5/3'], ['x, y, z', '-x, -x+y, -z+1/3'], ['x, y, z', 'y, x, -z+1']], [['x, y, z', 'x-y, -y, -z+2/3'], ['x, y, z', '-x, -x+y, -z+4/3'], ['x, y, z', 'y, x, -z']]]\"\n153,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-y, -x, -z+1/3'], ['x, y, z', '-x+y, y, -z+5/3'], ['x, y, z', 'x, x-y, -z+1']], [['x, y, z', '-y, -x, -z+4/3'], ['x, y, z', '-x+y, y, -z+2/3'], ['x, y, z', 'x, x-y, -z']]]\"\n154,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', 'x-y, -y, -z+1/3'], ['x, y, z', '-x, -x+y, -z+5/3'], ['x, y, z', 'y, x, -z+1']], [['x, y, z', 'x-y, -y, -z+4/3'], ['x, y, z', '-x, -x+y, -z+2/3'], ['x, y, z', 'y, x, -z']]]\"\n155,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', 'x-y, -y, -z+1'], ['x, y, z', '-x, -x+y, -z+1'], ['x, y, z', 'y, x, -z+1'], ['x, y, z', 'x-y+1/3, -y+2/3, -z+5/3'], ['x, y, z', '-x+4/3, -x+y+2/3, -z+5/3'], ['x, y, z', 'y+1/3, x-1/3, -z+5/3'], ['x, y, z', 'x-y+2/3, -y+4/3, -z+7/3'], ['x, y, z', '-x+2/3, -x+y+1/3, -z+7/3'], ['x, y, z', 'y-1/3, x+1/3, -z+7/3']], [['x, y, z', 'x-y, -y, -z'], ['x, y, z', '-x, -x+y, -z'], ['x, y, z', 'y, x, -z'], ['x, y, z', 'x-y+1/3, -y+2/3, -z+2/3'], ['x, y, z', '-x+4/3, -x+y+2/3, -z+2/3'], ['x, y, z', 'y+1/3, x-1/3, -z+2/3'], ['x, y, z', 'x-y+2/3, -y+4/3, -z+4/3'], ['x, y, z', '-x+2/3, -x+y+1/3, -z+4/3'], ['x, y, z', 'y-1/3, x+1/3, -z+4/3']], [['x, y, z', '-y, x-y, z', '-x+y, -x, z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z'], ['x, y, z', '-y+1, x-y, z', '-x+y+1, -x+1, z'], ['x, y, z', '-y+1, x-y, z', '-x+y+1, -x+1, z'], ['x, y, z', '-y+1, x-y+1, z', '-x+y, -x+1, z'], ['x, y, z', '-y+1, x-y+1, z', '-x+y, -x+1, z']], [['x, y, z', '-y, x-y, z', '-x+y, -x, z', 'y, x, -z+1', 'x-y, -y, -z+1', '-x, -x+y, -z+1'], ['x, y, z', '-y+1, x-y, z', '-x+y+1, -x+1, z', 'y+1/3, x-1/3, -z+5/3', 'x-y+1/3, -y+2/3, -z+5/3', '-x+4/3, -x+y+2/3, -z+5/3'], ['x, y, z', '-y+1, x-y+1, z', '-x+y, -x+1, z', 'y-1/3, x+1/3, -z+7/3', 'x-y+2/3, -y+4/3, -z+7/3', '-x+2/3, -x+y+1/3, -z+7/3']], [['x, y, z', '-y, x-y, z', '-x+y, -x, z', 'y, x, -z', 'x-y, -y, -z', '-x, -x+y, -z'], ['x, y, z', '-y+1, x-y, z', '-x+y+1, -x+1, z', 'y+1/3, x-1/3, -z+2/3', 'x-y+1/3, -y+2/3, -z+2/3', '-x+4/3, -x+y+2/3, -z+2/3'], ['x, y, z', '-y+1, x-y+1, z', '-x+y, -x+1, z', 'y-1/3, x+1/3, -z+4/3', 'x-y+2/3, -y+4/3, -z+4/3', '-x+2/3, -x+y+1/3, -z+4/3']]]\"\n156,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-y, -x, z'], ['x, y, z', '-x+y, y, z'], ['x, y, z', 'x, x-y, z']], [['x, y, z', '-y+1, x-y, z', '-x+y+1, -x+1, z', '-y+1, -x+1, z', '-x+y+1, y, z', 'x, x-y, z']], [['x, y, z', '-y+1, x-y+1, z', '-x+y, -x+1, z', '-y+1, -x+1, z', '-x+y, y, z', 'x, x-y+1, z']], [['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-y, -x, z', '-x+y, y, z', 'x, x-y, z']]]\"\n157,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', 'x-y, -y, z'], ['x, y, z', '-x, -x+y, z'], ['x, y, z', 'y, x, z']], [['x, y, z', '-y+1, x-y+1, z', '-x+y, -x+1, z'], ['x, y, z', '-y+1, x-y, z', '-x+y+1, -x+1, z']], [['x, y, z', '-y, x-y, z', '-x+y, -x, z', 'y, x, z', 'x-y, -y, z', '-x, -x+y, z']]]\"\n158,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-y+1, x-y, z', '-x+y+1, -x+1, z'], ['x, y, z', '-y+1, x-y, z', '-x+y+1, -x+1, z']], [['x, y, z', '-y+1, x-y+1, z', '-x+y, -x+1, z'], ['x, y, z', '-y+1, x-y+1, z', '-x+y, -x+1, z']], [['x, y, z', '-y, x-y, z', '-x+y, -x, z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z']]]\"\n159,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-y+1, x-y+1, z', '-x+y, -x+1, z'], ['x, y, z', '-y+1, x-y, z', '-x+y+1, -x+1, z']], [['x, y, z', '-y, x-y, z', '-x+y, -x, z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z']]]\"\n160,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-y, -x, z'], ['x, y, z', '-x+y, y, z'], ['x, y, z', 'x, x-y, z'], ['x, y, z', '-y+1, -x+1, z'], ['x, y, z', '-x+y+1, y, z'], ['x, y, z', 'x, x-y, z'], ['x, y, z', '-y+1, -x+1, z'], ['x, y, z', '-x+y, y, z'], ['x, y, z', 'x, x-y+1, z']], [['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-y, -x, z', '-x+y, y, z', 'x, x-y, z'], ['x, y, z', '-y+1, x-y, z', '-x+y+1, -x+1, z', '-y+1, -x+1, z', '-x+y+1, y, z', 'x, x-y, z'], ['x, y, z', '-y+1, x-y+1, z', '-x+y, -x+1, z', '-y+1, -x+1, z', '-x+y, y, z', 'x, x-y+1, z']]]\"\n161,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-y, x-y, z', '-x+y, -x, z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z'], ['x, y, z', '-y+1, x-y, z', '-x+y+1, -x+1, z'], ['x, y, z', '-y+1, x-y, z', '-x+y+1, -x+1, z'], ['x, y, z', '-y+1, x-y+1, z', '-x+y, -x+1, z'], ['x, y, z', '-y+1, x-y+1, z', '-x+y, -x+1, z']]]\"\n162,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', 'x-y, -y, z'], ['x, y, z', '-x, -x+y, z'], ['x, y, z', 'y, x, z'], ['x, y, z', '-x, -x+y, z'], ['x, y, z', 'x-y, -y, z'], ['x, y, z', 'y, x, z']], [['x, y, z', '-y, -x, -z+1'], ['x, y, z', '-x+y, y, -z+1'], ['x, y, z', 'x, x-y, -z+1'], ['x, y, z', '-y, -x, -z+1'], ['x, y, z', '-x+y, y, -z+1'], ['x, y, z', 'x, x-y, -z+1']], [['x, y, z', '-y, -x, -z'], ['x, y, z', '-x+y, y, -z'], ['x, y, z', 'x, x-y, -z'], ['x, y, z', '-y, -x, -z'], ['x, y, z', '-x+y, y, -z'], ['x, y, z', 'x, x-y, -z']], [['x, y, z', '-y+1, x-y+1, z', '-x+y, -x+1, z'], ['x, y, z', '-y+1, x-y+1, z', '-x+y, -x+1, z'], ['x, y, z', '-y+1, x-y, z', '-x+y+1, -x+1, z'], ['x, y, z', '-y+1, x-y, z', '-x+y+1, -x+1, z']], [['x, y, z', '-x+y+1, y, -z+1', '-x+1, -y, -z+1', 'x-y, -y, z'], ['x, y, z', 'x, x-y+1, -z+1', '-x, -y+1, -z+1', '-x, -x+y, z'], ['x, y, z', '-y+1, -x+1, -z+1', '-x+1, -y+1, -z+1', 'y, x, z']], [['x, y, z', '-x+y+1, y, -z', '-x+1, -y, -z', 'x-y, -y, z'], ['x, y, z', 'x, x-y+1, -z', '-x, -y+1, -z', '-x, -x+y, z'], ['x, y, z', '-y+1, -x+1, -z', '-x+1, -y+1, -z', 'y, x, z']], [['x, y, z', '-y, x-y, z', '-x+y, -x, z', 'y, x, z', 'x-y, -y, z', '-x, -x+y, z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', 'y, x, z', 'x-y, -y, z', '-x, -x+y, z']], [['x, y, z', '-y+1, x-y+1, z', '-x+y, -x+1, z', '-y+1, -x+1, -z+1', '-x+y, y, -z+1', 'x, x-y+1, -z+1'], ['x, y, z', '-y+1, x-y, z', '-x+y+1, -x+1, z', '-y+1, -x+1, -z+1', '-x+y+1, y, -z+1', 'x, x-y, -z+1']], [['x, y, z', '-y+1, x-y+1, z', '-x+y, -x+1, z', '-y+1, -x+1, -z', '-x+y, y, -z', 'x, x-y+1, -z'], ['x, y, z', '-y+1, x-y, z', '-x+y+1, -x+1, z', '-y+1, -x+1, -z', '-x+y+1, y, -z', 'x, x-y, -z']], [['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-y, -x, -z+1', '-x+y, y, -z+1', 'x, x-y, -z+1', '-x, -y, -z+1', 'y, -x+y, -z+1', 'x-y, x, -z+1', 'y, x, z', 'x-y, -y, z', '-x, -x+y, z']], [['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-y, -x, -z', '-x+y, y, -z', 'x, x-y, -z', '-x, -y, -z', 'y, -x+y, -z', 'x-y, x, -z', 'y, x, z', 'x-y, -y, z', '-x, -x+y, z']]]\"\n163,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-y, -x, -z+1/2'], ['x, y, z', '-x+y, y, -z+1/2'], ['x, y, z', 'x, x-y, -z+1/2'], ['x, y, z', '-y, -x, -z+3/2'], ['x, y, z', '-x+y, y, -z+3/2'], ['x, y, z', 'x, x-y, -z+3/2']], [['x, y, z', '-x+1, -y, -z'], ['x, y, z', '-x, -y+1, -z'], ['x, y, z', '-x+1, -y+1, -z'], ['x, y, z', '-x, -y+1, -z+1'], ['x, y, z', '-x+1, -y, -z+1'], ['x, y, z', '-x+1, -y+1, -z+1']], [['x, y, z', '-y+1, x-y+1, z', '-x+y, -x+1, z'], ['x, y, z', '-y+1, x-y+1, z', '-x+y, -x+1, z'], ['x, y, z', '-y+1, x-y, z', '-x+y+1, -x+1, z'], ['x, y, z', '-y+1, x-y, z', '-x+y+1, -x+1, z']], [['x, y, z', '-y, x-y, z', '-x+y, -x, z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z']], [['x, y, z', '-y+1, x-y, z', '-x+y+1, -x+1, z', '-y+1, -x+1, -z+1/2', '-x+y+1, y, -z+1/2', 'x, x-y, -z+1/2'], ['x, y, z', '-y+1, x-y+1, z', '-x+y, -x+1, z', '-y+1, -x+1, -z+3/2', '-x+y, y, -z+3/2', 'x, x-y+1, -z+3/2']], [['x, y, z', '-y+1, x-y+1, z', '-x+y, -x+1, z', '-y+1, -x+1, -z+1/2', '-x+y, y, -z+1/2', 'x, x-y+1, -z+1/2'], ['x, y, z', '-y+1, x-y, z', '-x+y+1, -x+1, z', '-y+1, -x+1, -z+3/2', '-x+y+1, y, -z+3/2', 'x, x-y, -z+3/2']], [['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, -z', 'y, -x+y, -z', 'x-y, x, -z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, -z+1', 'y, -x+y, -z+1', 'x-y, x, -z+1']], [['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-y, -x, -z+1/2', '-x+y, y, -z+1/2', 'x, x-y, -z+1/2'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-y, -x, -z+3/2', '-x+y, y, -z+3/2', 'x, x-y, -z+3/2']]]\"\n164,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-y, -x, z'], ['x, y, z', '-x+y, y, z'], ['x, y, z', 'x, x-y, z'], ['x, y, z', '-y, -x, z'], ['x, y, z', 'x, x-y, z'], ['x, y, z', '-x+y, y, z']], [['x, y, z', 'x-y, -y, -z+1'], ['x, y, z', '-x, -x+y, -z+1'], ['x, y, z', 'y, x, -z+1'], ['x, y, z', 'x-y, -y, -z+1'], ['x, y, z', '-x, -x+y, -z+1'], ['x, y, z', 'y, x, -z+1']], [['x, y, z', 'x-y, -y, -z'], ['x, y, z', '-x, -x+y, -z'], ['x, y, z', 'y, x, -z'], ['x, y, z', 'x-y, -y, -z'], ['x, y, z', '-x, -x+y, -z'], ['x, y, z', 'y, x, -z']], [['x, y, z', 'x-y, -y, -z+1', '-x+1, -y, -z+1', '-x+y+1, y, z'], ['x, y, z', '-x, -x+y, -z+1', '-x, -y+1, -z+1', 'x, x-y+1, z'], ['x, y, z', 'y, x, -z+1', '-x+1, -y+1, -z+1', '-y+1, -x+1, z']], [['x, y, z', 'x-y, -y, -z', '-x+1, -y, -z', '-x+y+1, y, z'], ['x, y, z', '-x, -x+y, -z', '-x, -y+1, -z', 'x, x-y+1, z'], ['x, y, z', 'y, x, -z', '-x+1, -y+1, -z', '-y+1, -x+1, z']], [['x, y, z', '-y+1, x-y+1, z', '-x+y, -x+1, z', '-y+1, -x+1, z', '-x+y, y, z', 'x, x-y+1, z'], ['x, y, z', '-y+1, x-y, z', '-x+y+1, -x+1, z', '-y+1, -x+1, z', '-x+y+1, y, z', 'x, x-y, z']], [['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-y, -x, z', '-x+y, y, z', 'x, x-y, z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-y, -x, z', '-x+y, y, z', 'x, x-y, z']], [['x, y, z', '-y, x-y, z', '-x+y, -x, z', 'y, x, -z+1', 'x-y, -y, -z+1', '-x, -x+y, -z+1', '-x, -y, -z+1', 'y, -x+y, -z+1', 'x-y, x, -z+1', '-y, -x, z', '-x+y, y, z', 'x, x-y, z']], [['x, y, z', '-y, x-y, z', '-x+y, -x, z', 'y, x, -z', 'x-y, -y, -z', '-x, -x+y, -z', '-x, -y, -z', 'y, -x+y, -z', 'x-y, x, -z', '-y, -x, z', '-x+y, y, z', 'x, x-y, z']]]\"\n165,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', 'x-y, -y, -z+1/2'], ['x, y, z', '-x, -x+y, -z+1/2'], ['x, y, z', 'y, x, -z+1/2'], ['x, y, z', 'x-y, -y, -z+3/2'], ['x, y, z', '-x, -x+y, -z+3/2'], ['x, y, z', 'y, x, -z+3/2']], [['x, y, z', '-x+1, -y, -z'], ['x, y, z', '-x, -y+1, -z'], ['x, y, z', '-x+1, -y+1, -z'], ['x, y, z', '-x, -y+1, -z+1'], ['x, y, z', '-x+1, -y, -z+1'], ['x, y, z', '-x+1, -y+1, -z+1']], [['x, y, z', '-y+1, x-y+1, z', '-x+y, -x+1, z'], ['x, y, z', '-y+1, x-y, z', '-x+y+1, -x+1, z'], ['x, y, z', '-y+1, x-y, z', '-x+y+1, -x+1, z'], ['x, y, z', '-y+1, x-y+1, z', '-x+y, -x+1, z']], [['x, y, z', '-y, x-y, z', '-x+y, -x, z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z']], [['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, -z', 'y, -x+y, -z', 'x-y, x, -z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, -z+1', 'y, -x+y, -z+1', 'x-y, x, -z+1']], [['x, y, z', '-y, x-y, z', '-x+y, -x, z', 'y, x, -z+1/2', 'x-y, -y, -z+1/2', '-x, -x+y, -z+1/2'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', 'y, x, -z+3/2', 'x-y, -y, -z+3/2', '-x, -x+y, -z+3/2']]]\"\n166,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-y, -x, z'], ['x, y, z', '-x+y, y, z'], ['x, y, z', 'x, x-y, z'], ['x, y, z', '-y, -x, z'], ['x, y, z', 'x, x-y, z'], ['x, y, z', '-x+y, y, z'], ['x, y, z', '-y+1, -x+1, z'], ['x, y, z', '-x+y+1, y, z'], ['x, y, z', 'x, x-y, z'], ['x, y, z', '-y+1, -x+1, z'], ['x, y, z', 'x, x-y, z'], ['x, y, z', '-x+y+1, y, z'], ['x, y, z', '-y+1, -x+1, z'], ['x, y, z', '-x+y, y, z'], ['x, y, z', 'x, x-y+1, z'], ['x, y, z', '-y+1, -x+1, z'], ['x, y, z', 'x, x-y+1, z'], ['x, y, z', '-x+y, y, z']], [['x, y, z', 'x-y, -y, -z+1'], ['x, y, z', '-x, -x+y, -z+1'], ['x, y, z', 'y, x, -z+1'], ['x, y, z', 'x-y, -y, -z+1'], ['x, y, z', '-x, -x+y, -z+1'], ['x, y, z', 'y, x, -z+1'], ['x, y, z', 'x-y+1/3, -y+2/3, -z+5/3'], ['x, y, z', '-x+4/3, -x+y+2/3, -z+5/3'], ['x, y, z', 'y+1/3, x-1/3, -z+5/3'], ['x, y, z', 'x-y+1/3, -y+2/3, -z+5/3'], ['x, y, z', '-x+4/3, -x+y+2/3, -z+5/3'], ['x, y, z', 'y+1/3, x-1/3, -z+5/3'], ['x, y, z', 'x-y+2/3, -y+4/3, -z+7/3'], ['x, y, z', '-x+2/3, -x+y+1/3, -z+7/3'], ['x, y, z', 'y-1/3, x+1/3, -z+7/3'], ['x, y, z', 'x-y+2/3, -y+4/3, -z+7/3'], ['x, y, z', '-x+2/3, -x+y+1/3, -z+7/3'], ['x, y, z', 'y-1/3, x+1/3, -z+7/3']], [['x, y, z', 'x-y, -y, -z'], ['x, y, z', '-x, -x+y, -z'], ['x, y, z', 'y, x, -z'], ['x, y, z', 'x-y, -y, -z'], ['x, y, z', '-x, -x+y, -z'], ['x, y, z', 'y, x, -z'], ['x, y, z', 'x-y+1/3, -y+2/3, -z+2/3'], ['x, y, z', '-x+4/3, -x+y+2/3, -z+2/3'], ['x, y, z', 'y+1/3, x-1/3, -z+2/3'], ['x, y, z', 'x-y+1/3, -y+2/3, -z+2/3'], ['x, y, z', '-x+4/3, -x+y+2/3, -z+2/3'], ['x, y, z', 'y+1/3, x-1/3, -z+2/3'], ['x, y, z', 'x-y+2/3, -y+4/3, -z+4/3'], ['x, y, z', '-x+2/3, -x+y+1/3, -z+4/3'], ['x, y, z', 'y-1/3, x+1/3, -z+4/3'], ['x, y, z', 'x-y+2/3, -y+4/3, -z+4/3'], ['x, y, z', '-x+2/3, -x+y+1/3, -z+4/3'], ['x, y, z', 'y-1/3, x+1/3, -z+4/3']], [['x, y, z', 'x-y, -y, -z', '-x+1, -y, -z', '-x+y+1, y, z'], ['x, y, z', '-x, -x+y, -z', '-x, -y+1, -z', 'x, x-y+1, z'], ['x, y, z', 'y, x, -z', '-x+1, -y+1, -z', '-y+1, -x+1, z'], ['x, y, z', '-x+y+2, y, z', 'x-y+1/3, -y+2/3, -z+2/3', '-x+7/3, -y+2/3, -z+2/3'], ['x, y, z', 'x, x-y+1, z', '-x+4/3, -x+y+2/3, -z+2/3', '-x+4/3, -y+5/3, -z+2/3'], ['x, y, z', '-y+2, -x+2, z', 'y+1/3, x-1/3, -z+2/3', '-x+7/3, -y+5/3, -z+2/3'], ['x, y, z', '-x+y+1, y, z', 'x-y+2/3, -y+4/3, -z+4/3', '-x+5/3, -y+4/3, -z+4/3'], ['x, y, z', 'x, x-y+2, z', '-x+2/3, -x+y+1/3, -z+4/3', '-x+2/3, -y+7/3, -z+4/3'], ['x, y, z', '-y+2, -x+2, z', 'y-1/3, x+1/3, -z+4/3', '-x+5/3, -y+7/3, -z+4/3']], [['x, y, z', 'x-y, -y, -z+1', '-x+1, -y, -z+1', '-x+y+1, y, z'], ['x, y, z', '-x, -x+y, -z+1', '-x, -y+1, -z+1', 'x, x-y+1, z'], ['x, y, z', 'y, x, -z+1', '-x+1, -y+1, -z+1', '-y+1, -x+1, z'], ['x, y, z', '-x+y+2, y, z', 'x-y+1/3, -y+2/3, -z+5/3', '-x+7/3, -y+2/3, -z+5/3'], ['x, y, z', 'x, x-y+1, z', '-x+4/3, -x+y+2/3, -z+5/3', '-x+4/3, -y+5/3, -z+5/3'], ['x, y, z', '-y+2, -x+2, z', 'y+1/3, x-1/3, -z+5/3', '-x+7/3, -y+5/3, -z+5/3'], ['x, y, z', '-x+y+1, y, z', 'x-y+2/3, -y+4/3, -z+7/3', '-x+5/3, -y+4/3, -z+7/3'], ['x, y, z', 'x, x-y+2, z', '-x+2/3, -x+y+1/3, -z+7/3', '-x+2/3, -y+7/3, -z+7/3'], ['x, y, z', '-y+2, -x+2, z', 'y-1/3, x+1/3, -z+7/3', '-x+5/3, -y+7/3, -z+7/3']], [['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-y, -x, z', '-x+y, y, z', 'x, x-y, z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-y, -x, z', '-x+y, y, z', 'x, x-y, z'], ['x, y, z', '-y+1, x-y, z', '-x+y+1, -x+1, z', '-y+1, -x+1, z', '-x+y+1, y, z', 'x, x-y, z'], ['x, y, z', '-y+1, x-y, z', '-x+y+1, -x+1, z', '-y+1, -x+1, z', '-x+y+1, y, z', 'x, x-y, z'], ['x, y, z', '-y+1, x-y+1, z', '-x+y, -x+1, z', '-y+1, -x+1, z', '-x+y, y, z', 'x, x-y+1, z'], ['x, y, z', '-y+1, x-y+1, z', '-x+y, -x+1, z', '-y+1, -x+1, z', '-x+y, y, z', 'x, x-y+1, z']], [['x, y, z', '-y, x-y, z', '-x+y, -x, z', 'y, x, -z+1', 'x-y, -y, -z+1', '-x, -x+y, -z+1', '-x, -y, -z+1', 'y, -x+y, -z+1', 'x-y, x, -z+1', '-y, -x, z', '-x+y, y, z', 'x, x-y, z'], ['x, y, z', '-y+1, x-y, z', '-x+y+1, -x+1, z', '-y+1, -x+1, z', '-x+y+1, y, z', 'x, x-y, z', 'y+1/3, x-1/3, -z+5/3', 'x-y+1/3, -y+2/3, -z+5/3', '-x+4/3, -x+y+2/3, -z+5/3', '-x+4/3, -y+2/3, -z+5/3', 'y+1/3, -x+y+2/3, -z+5/3', 'x-y+1/3, x-1/3, -z+5/3'], ['x, y, z', '-y+1, x-y+1, z', '-x+y, -x+1, z', '-y+1, -x+1, z', '-x+y, y, z', 'x, x-y+1, z', 'y-1/3, x+1/3, -z+7/3', 'x-y+2/3, -y+4/3, -z+7/3', '-x+2/3, -x+y+1/3, -z+7/3', '-x+2/3, -y+4/3, -z+7/3', 'y-1/3, -x+y+1/3, -z+7/3', 'x-y+2/3, x+1/3, -z+7/3']], [['x, y, z', '-y, x-y, z', '-x+y, -x, z', 'y, x, -z', 'x-y, -y, -z', '-x, -x+y, -z', '-x, -y, -z', 'y, -x+y, -z', 'x-y, x, -z', '-y, -x, z', '-x+y, y, z', 'x, x-y, z'], ['x, y, z', '-y+1, x-y, z', '-x+y+1, -x+1, z', '-y+1, -x+1, z', '-x+y+1, y, z', 'x, x-y, z', 'y+1/3, x-1/3, -z+2/3', 'x-y+1/3, -y+2/3, -z+2/3', '-x+4/3, -x+y+2/3, -z+2/3', '-x+4/3, -y+2/3, -z+2/3', 'y+1/3, -x+y+2/3, -z+2/3', 'x-y+1/3, x-1/3, -z+2/3'], ['x, y, z', '-y+1, x-y+1, z', '-x+y, -x+1, z', '-y+1, -x+1, z', '-x+y, y, z', 'x, x-y+1, z', 'y-1/3, x+1/3, -z+4/3', 'x-y+2/3, -y+4/3, -z+4/3', '-x+2/3, -x+y+1/3, -z+4/3', '-x+2/3, -y+4/3, -z+4/3', 'y-1/3, -x+y+1/3, -z+4/3', 'x-y+2/3, x+1/3, -z+4/3']]]\"\n167,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', 'x-y, -y, -z+1/2'], ['x, y, z', '-x, -x+y, -z+1/2'], ['x, y, z', 'y, x, -z+1/2'], ['x, y, z', 'x-y, -y, -z+3/2'], ['x, y, z', '-x, -x+y, -z+3/2'], ['x, y, z', 'y, x, -z+3/2'], ['x, y, z', 'x-y+1/3, -y+2/3, -z+7/6'], ['x, y, z', '-x+4/3, -x+y+2/3, -z+7/6'], ['x, y, z', 'y+1/3, x-1/3, -z+7/6'], ['x, y, z', 'x-y+1/3, -y+2/3, -z+13/6'], ['x, y, z', '-x+4/3, -x+y+2/3, -z+13/6'], ['x, y, z', 'y+1/3, x-1/3, -z+13/6'], ['x, y, z', 'x-y+2/3, -y+4/3, -z+11/6'], ['x, y, z', '-x+2/3, -x+y+1/3, -z+11/6'], ['x, y, z', 'y-1/3, x+1/3, -z+11/6'], ['x, y, z', 'x-y+2/3, -y+4/3, -z+17/6'], ['x, y, z', '-x+2/3, -x+y+1/3, -z+17/6'], ['x, y, z', 'y-1/3, x+1/3, -z+17/6']], [['x, y, z', '-x+1, -y, -z'], ['x, y, z', '-x, -y+1, -z'], ['x, y, z', '-x+1, -y+1, -z'], ['x, y, z', '-x, -y+1, -z+1'], ['x, y, z', '-x+1, -y, -z+1'], ['x, y, z', '-x+1, -y+1, -z+1'], ['x, y, z', '-x+7/3, -y+2/3, -z+2/3'], ['x, y, z', '-x+4/3, -y+5/3, -z+2/3'], ['x, y, z', '-x+7/3, -y+5/3, -z+2/3'], ['x, y, z', '-x+4/3, -y+5/3, -z+5/3'], ['x, y, z', '-x+7/3, -y+2/3, -z+5/3'], ['x, y, z', '-x+7/3, -y+5/3, -z+5/3'], ['x, y, z', '-x+5/3, -y+4/3, -z+4/3'], ['x, y, z', '-x+2/3, -y+7/3, -z+4/3'], ['x, y, z', '-x+5/3, -y+7/3, -z+4/3'], ['x, y, z', '-x+2/3, -y+7/3, -z+7/3'], ['x, y, z', '-x+5/3, -y+4/3, -z+7/3'], ['x, y, z', '-x+5/3, -y+7/3, -z+7/3']], [['x, y, z', '-y, x-y, z', '-x+y, -x, z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z'], ['x, y, z', '-y+1, x-y, z', '-x+y+1, -x+1, z'], ['x, y, z', '-y+1, x-y, z', '-x+y+1, -x+1, z'], ['x, y, z', '-y+1, x-y, z', '-x+y+1, -x+1, z'], ['x, y, z', '-y+1, x-y, z', '-x+y+1, -x+1, z'], ['x, y, z', '-y+1, x-y+1, z', '-x+y, -x+1, z'], ['x, y, z', '-y+1, x-y+1, z', '-x+y, -x+1, z'], ['x, y, z', '-y+1, x-y+1, z', '-x+y, -x+1, z'], ['x, y, z', '-y+1, x-y+1, z', '-x+y, -x+1, z']], [['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, -z', 'y, -x+y, -z', 'x-y, x, -z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, -z+1', 'y, -x+y, -z+1', 'x-y, x, -z+1'], ['x, y, z', '-y+1, x-y, z', '-x+y+1, -x+1, z', '-x+4/3, -y+2/3, -z+2/3', 'y+1/3, -x+y+2/3, -z+2/3', 'x-y+1/3, x-1/3, -z+2/3'], ['x, y, z', '-y+1, x-y, z', '-x+y+1, -x+1, z', '-x+4/3, -y+2/3, -z+5/3', 'y+1/3, -x+y+2/3, -z+5/3', 'x-y+1/3, x-1/3, -z+5/3'], ['x, y, z', '-y+1, x-y+1, z', '-x+y, -x+1, z', '-x+2/3, -y+4/3, -z+4/3', 'y-1/3, -x+y+1/3, -z+4/3', 'x-y+2/3, x+1/3, -z+4/3'], ['x, y, z', '-y+1, x-y+1, z', '-x+y, -x+1, z', '-x+2/3, -y+4/3, -z+7/3', 'y-1/3, -x+y+1/3, -z+7/3', 'x-y+2/3, x+1/3, -z+7/3']], [['x, y, z', '-y, x-y, z', '-x+y, -x, z', 'y, x, -z+1/2', 'x-y, -y, -z+1/2', '-x, -x+y, -z+1/2'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', 'y, x, -z+3/2', 'x-y, -y, -z+3/2', '-x, -x+y, -z+3/2'], ['x, y, z', '-y+1, x-y, z', '-x+y+1, -x+1, z', 'y+1/3, x-1/3, -z+7/6', 'x-y+1/3, -y+2/3, -z+7/6', '-x+4/3, -x+y+2/3, -z+7/6'], ['x, y, z', '-y+1, x-y, z', '-x+y+1, -x+1, z', 'y+1/3, x-1/3, -z+13/6', 'x-y+1/3, -y+2/3, -z+13/6', '-x+4/3, -x+y+2/3, -z+13/6'], ['x, y, z', '-y+1, x-y+1, z', '-x+y, -x+1, z', 'y-1/3, x+1/3, -z+11/6', 'x-y+2/3, -y+4/3, -z+11/6', '-x+2/3, -x+y+1/3, -z+11/6'], ['x, y, z', '-y+1, x-y+1, z', '-x+y, -x+1, z', 'y-1/3, x+1/3, -z+17/6', 'x-y+2/3, -y+4/3, -z+17/6', '-x+2/3, -x+y+1/3, -z+17/6']]]\"\n168,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-x+1, -y, z'], ['x, y, z', '-x, -y+1, z'], ['x, y, z', '-x+1, -y+1, z']], [['x, y, z', '-y+1, x-y+1, z', '-x+y, -x+1, z'], ['x, y, z', '-y+1, x-y, z', '-x+y+1, -x+1, z']], [['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, z', 'y, -x+y, z', 'x-y, x, z']]]\"\n169,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']]]\"\n170,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']]]\"\n171,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-x+1, -y+1, z'], ['x, y, z', '-x+1, -y, z'], ['x, y, z', '-x, -y+1, z']], [['x, y, z', '-x, -y, z'], ['x, y, z', '-x, -y, z'], ['x, y, z', '-x, -y, z']]]\"\n172,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-x+1, -y+1, z'], ['x, y, z', '-x+1, -y, z'], ['x, y, z', '-x, -y+1, z']], [['x, y, z', '-x, -y, z'], ['x, y, z', '-x, -y, z'], ['x, y, z', '-x, -y, z']]]\"\n173,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-y+1, x-y+1, z', '-x+y, -x+1, z'], ['x, y, z', '-y+1, x-y, z', '-x+y+1, -x+1, z']], [['x, y, z', '-y, x-y, z', '-x+y, -x, z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z']]]\"\n174,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1']], [['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z']], [['x, y, z', '-y+1, x-y, z', '-x+y+1, -x+1, z'], ['x, y, z', '-y+1, x-y, z', '-x+y+1, -x+1, z']], [['x, y, z', '-y+1, x-y+1, z', '-x+y, -x+1, z'], ['x, y, z', '-y+1, x-y+1, z', '-x+y, -x+1, z']], [['x, y, z', '-y, x-y, z', '-x+y, -x, z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z']], [['x, y, z', '-y+1, x-y, z', '-x+y+1, -x+1, z', 'x, y, -z+1', '-y+1, x-y, -z+1', '-x+y+1, -x+1, -z+1']], [['x, y, z', '-y+1, x-y, z', '-x+y+1, -x+1, z', 'x, y, -z', '-y+1, x-y, -z', '-x+y+1, -x+1, -z']], [['x, y, z', '-y+1, x-y+1, z', '-x+y, -x+1, z', 'x, y, -z+1', '-y+1, x-y+1, -z+1', '-x+y, -x+1, -z+1']], [['x, y, z', '-y+1, x-y+1, z', '-x+y, -x+1, z', 'x, y, -z', '-y+1, x-y+1, -z', '-x+y, -x+1, -z']], [['x, y, z', '-y, x-y, z', '-x+y, -x, z', 'x, y, -z+1', '-y, x-y, -z+1', '-x+y, -x, -z+1']], [['x, y, z', '-y, x-y, z', '-x+y, -x, z', 'x, y, -z', '-y, x-y, -z', '-x+y, -x, -z']]]\"\n175,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1']], [['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z']], [['x, y, z', '-x+1, -y, z'], ['x, y, z', '-x, -y+1, z'], ['x, y, z', '-x+1, -y+1, z'], ['x, y, z', '-x+1, -y, z'], ['x, y, z', '-x, -y+1, z'], ['x, y, z', '-x+1, -y+1, z']], [['x, y, z', '-y+1, x-y+1, z', '-x+y, -x+1, z'], ['x, y, z', '-y+1, x-y, z', '-x+y+1, -x+1, z'], ['x, y, z', '-y+1, x-y, z', '-x+y+1, -x+1, z'], ['x, y, z', '-y+1, x-y+1, z', '-x+y, -x+1, z']], [['x, y, z', '-x+1, -y, z', '-x+1, -y, -z+1', 'x, y, -z+1'], ['x, y, z', '-x, -y+1, z', '-x, -y+1, -z+1', 'x, y, -z+1'], ['x, y, z', '-x+1, -y+1, z', '-x+1, -y+1, -z+1', 'x, y, -z+1']], [['x, y, z', '-x+1, -y, z', '-x+1, -y, -z', 'x, y, -z'], ['x, y, z', '-x, -y+1, z', '-x, -y+1, -z', 'x, y, -z'], ['x, y, z', '-x+1, -y+1, z', '-x+1, -y+1, -z', 'x, y, -z']], [['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, z', 'y, -x+y, z', 'x-y, x, z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, z', 'y, -x+y, z', 'x-y, x, z']], [['x, y, z', '-y+1, x-y+1, z', '-x+y, -x+1, z', 'x, y, -z+1', '-y+1, x-y+1, -z+1', '-x+y, -x+1, -z+1'], ['x, y, z', '-y+1, x-y, z', '-x+y+1, -x+1, z', 'x, y, -z+1', '-y+1, x-y, -z+1', '-x+y+1, -x+1, -z+1']], [['x, y, z', '-y+1, x-y+1, z', '-x+y, -x+1, z', 'x, y, -z', '-y+1, x-y+1, -z', '-x+y, -x+1, -z'], ['x, y, z', '-y+1, x-y, z', '-x+y+1, -x+1, z', 'x, y, -z', '-y+1, x-y, -z', '-x+y+1, -x+1, -z']], [['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, z', 'y, -x+y, z', 'x-y, x, z', '-x, -y, -z+1', 'y, -x+y, -z+1', 'x-y, x, -z+1', 'x, y, -z+1', '-y, x-y, -z+1', '-x+y, -x, -z+1']], [['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, z', 'y, -x+y, z', 'x-y, x, z', '-x, -y, -z', 'y, -x+y, -z', 'x-y, x, -z', 'x, y, -z', '-y, x-y, -z', '-x+y, -x, -z']]]\"\n176,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', 'x, y, -z+1/2'], ['x, y, z', 'x, y, -z+1/2'], ['x, y, z', 'x, y, -z+1/2'], ['x, y, z', 'x, y, -z+3/2'], ['x, y, z', 'x, y, -z+3/2'], ['x, y, z', 'x, y, -z+3/2']], [['x, y, z', '-x+1, -y, -z'], ['x, y, z', '-x, -y+1, -z'], ['x, y, z', '-x+1, -y+1, -z'], ['x, y, z', '-x+1, -y, -z+1'], ['x, y, z', '-x, -y+1, -z+1'], ['x, y, z', '-x+1, -y+1, -z+1']], [['x, y, z', '-y+1, x-y+1, z', '-x+y, -x+1, z'], ['x, y, z', '-y+1, x-y, z', '-x+y+1, -x+1, z'], ['x, y, z', '-y+1, x-y, z', '-x+y+1, -x+1, z'], ['x, y, z', '-y+1, x-y+1, z', '-x+y, -x+1, z']], [['x, y, z', '-y, x-y, z', '-x+y, -x, z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z']], [['x, y, z', '-y+1, x-y, z', '-x+y+1, -x+1, z', 'x, y, -z+1/2', '-y+1, x-y, -z+1/2', '-x+y+1, -x+1, -z+1/2'], ['x, y, z', '-y+1, x-y+1, z', '-x+y, -x+1, z', 'x, y, -z+3/2', '-y+1, x-y+1, -z+3/2', '-x+y, -x+1, -z+3/2']], [['x, y, z', '-y+1, x-y+1, z', '-x+y, -x+1, z', 'x, y, -z+1/2', '-y+1, x-y+1, -z+1/2', '-x+y, -x+1, -z+1/2'], ['x, y, z', '-y+1, x-y, z', '-x+y+1, -x+1, z', 'x, y, -z+3/2', '-y+1, x-y, -z+3/2', '-x+y+1, -x+1, -z+3/2']], [['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, -z', 'y, -x+y, -z', 'x-y, x, -z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, -z+1', 'y, -x+y, -z+1', 'x-y, x, -z+1']], [['x, y, z', '-y, x-y, z', '-x+y, -x, z', 'x, y, -z+1/2', '-y, x-y, -z+1/2', '-x+y, -x, -z+1/2'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', 'x, y, -z+3/2', '-y, x-y, -z+3/2', '-x+y, -x, -z+3/2']]]\"\n177,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-y, -x, -z+1'], ['x, y, z', '-x+y, y, -z+1'], ['x, y, z', 'x, x-y, -z+1'], ['x, y, z', '-y, -x, -z+1'], ['x, y, z', '-x+y, y, -z+1'], ['x, y, z', 'x, x-y, -z+1']], [['x, y, z', '-y, -x, -z'], ['x, y, z', '-x+y, y, -z'], ['x, y, z', 'x, x-y, -z'], ['x, y, z', '-y, -x, -z'], ['x, y, z', '-x+y, y, -z'], ['x, y, z', 'x, x-y, -z']], [['x, y, z', 'x-y, -y, -z+1'], ['x, y, z', '-x, -x+y, -z+1'], ['x, y, z', 'y, x, -z+1'], ['x, y, z', 'x-y, -y, -z+1'], ['x, y, z', '-x, -x+y, -z+1'], ['x, y, z', 'y, x, -z+1']], [['x, y, z', 'x-y, -y, -z'], ['x, y, z', '-x, -x+y, -z'], ['x, y, z', 'y, x, -z'], ['x, y, z', 'x-y, -y, -z'], ['x, y, z', '-x, -x+y, -z'], ['x, y, z', 'y, x, -z']], [['x, y, z', '-x+1, -y, z'], ['x, y, z', '-x, -y+1, z'], ['x, y, z', '-x+1, -y+1, z'], ['x, y, z', '-x, -y+1, z'], ['x, y, z', '-x+1, -y, z'], ['x, y, z', '-x+1, -y+1, z']], [['x, y, z', '-y+1, x-y+1, z', '-x+y, -x+1, z'], ['x, y, z', '-y+1, x-y, z', '-x+y+1, -x+1, z'], ['x, y, z', '-y+1, x-y, z', '-x+y+1, -x+1, z'], ['x, y, z', '-y+1, x-y+1, z', '-x+y, -x+1, z']], [['x, y, z', '-x+1, -y, z', 'x-y, -y, -z+1', '-x+y+1, y, -z+1'], ['x, y, z', '-x, -y+1, z', '-x, -x+y, -z+1', 'x, x-y+1, -z+1'], ['x, y, z', '-x+1, -y+1, z', 'y, x, -z+1', '-y+1, -x+1, -z+1']], [['x, y, z', '-x+1, -y, z', 'x-y, -y, -z', '-x+y+1, y, -z'], ['x, y, z', '-x, -y+1, z', '-x, -x+y, -z', 'x, x-y+1, -z'], ['x, y, z', '-x+1, -y+1, z', 'y, x, -z', '-y+1, -x+1, -z']], [['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, z', 'y, -x+y, z', 'x-y, x, z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, z', 'y, -x+y, z', 'x-y, x, z']], [['x, y, z', '-y+1, x-y+1, z', '-x+y, -x+1, z', '-y+1, -x+1, -z+1', '-x+y, y, -z+1', 'x, x-y+1, -z+1'], ['x, y, z', '-y+1, x-y, z', '-x+y+1, -x+1, z', '-y+1, -x+1, -z+1', '-x+y+1, y, -z+1', 'x, x-y, -z+1']], [['x, y, z', '-y+1, x-y+1, z', '-x+y, -x+1, z', '-y+1, -x+1, -z', '-x+y, y, -z', 'x, x-y+1, -z'], ['x, y, z', '-y+1, x-y, z', '-x+y+1, -x+1, z', '-y+1, -x+1, -z', '-x+y+1, y, -z', 'x, x-y, -z']], [['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, z', 'y, -x+y, z', 'x-y, x, z', 'y, x, -z+1', 'x-y, -y, -z+1', '-x, -x+y, -z+1', '-y, -x, -z+1', '-x+y, y, -z+1', 'x, x-y, -z+1']], [['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, z', 'y, -x+y, z', 'x-y, x, z', 'y, x, -z', 'x-y, -y, -z', '-x, -x+y, -z', '-y, -x, -z', '-x+y, y, -z', 'x, x-y, -z']]]\"\n178,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-x+y, y, -z+1/2'], ['x, y, z', 'x, x-y, -z+7/6'], ['x, y, z', '-y, -x, -z+11/6'], ['x, y, z', '-x+y, y, -z+3/2'], ['x, y, z', 'x, x-y, -z+1/6'], ['x, y, z', '-y, -x, -z+5/6']], [['x, y, z', 'x-y, -y, -z'], ['x, y, z', '-x, -x+y, -z+2/3'], ['x, y, z', 'y, x, -z+4/3'], ['x, y, z', 'x-y, -y, -z+1'], ['x, y, z', '-x, -x+y, -z+5/3'], ['x, y, z', 'y, x, -z+1/3']]]\"\n179,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-x+y, y, -z+3/2'], ['x, y, z', 'x, x-y, -z+5/6'], ['x, y, z', '-y, -x, -z+1/6'], ['x, y, z', '-x+y, y, -z+1/2'], ['x, y, z', 'x, x-y, -z+11/6'], ['x, y, z', '-y, -x, -z+7/6']], [['x, y, z', 'x-y, -y, -z'], ['x, y, z', '-x, -x+y, -z+4/3'], ['x, y, z', 'y, x, -z+2/3'], ['x, y, z', 'x-y, -y, -z+1'], ['x, y, z', '-x, -x+y, -z+1/3'], ['x, y, z', 'y, x, -z+5/3']]]\"\n180,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-x+y, y, -z+1'], ['x, y, z', 'x, x-y, -z+1/3'], ['x, y, z', '-y, -x, -z+5/3'], ['x, y, z', '-x+y, y, -z+1'], ['x, y, z', 'x, x-y, -z+1/3'], ['x, y, z', '-y, -x, -z+5/3']], [['x, y, z', '-x+y, y, -z'], ['x, y, z', 'x, x-y, -z+4/3'], ['x, y, z', '-y, -x, -z+2/3'], ['x, y, z', '-x+y, y, -z'], ['x, y, z', 'x, x-y, -z+4/3'], ['x, y, z', '-y, -x, -z+2/3']], [['x, y, z', 'x-y, -y, -z+1'], ['x, y, z', '-x, -x+y, -z+1/3'], ['x, y, z', 'y, x, -z+5/3'], ['x, y, z', 'x-y, -y, -z+1'], ['x, y, z', '-x, -x+y, -z+1/3'], ['x, y, z', 'y, x, -z+5/3']], [['x, y, z', 'x-y, -y, -z'], ['x, y, z', '-x, -x+y, -z+4/3'], ['x, y, z', 'y, x, -z+2/3'], ['x, y, z', 'x-y, -y, -z'], ['x, y, z', '-x, -x+y, -z+4/3'], ['x, y, z', 'y, x, -z+2/3']], [['x, y, z', '-x+1, -y, z'], ['x, y, z', '-x, -y+1, z'], ['x, y, z', '-x+1, -y+1, z'], ['x, y, z', '-x, -y+1, z'], ['x, y, z', '-x+1, -y, z'], ['x, y, z', '-x+1, -y+1, z']], [['x, y, z', '-x, -y, z'], ['x, y, z', '-x, -y, z'], ['x, y, z', '-x, -y, z'], ['x, y, z', '-x, -y, z'], ['x, y, z', '-x, -y, z'], ['x, y, z', '-x, -y, z']], [['x, y, z', '-x+1, -y, z', 'x-y, -y, -z+1', '-x+y+1, y, -z+1'], ['x, y, z', '-x, -y+1, z', '-x, -x+y, -z+1/3', 'x, x-y+1, -z+1/3'], ['x, y, z', '-x+1, -y+1, z', 'y, x, -z+5/3', '-y+1, -x+1, -z+5/3']], [['x, y, z', '-x+1, -y, z', 'x-y, -y, -z', '-x+y+1, y, -z'], ['x, y, z', '-x, -y+1, z', '-x, -x+y, -z+4/3', 'x, x-y+1, -z+4/3'], ['x, y, z', '-x+1, -y+1, z', 'y, x, -z+2/3', '-y+1, -x+1, -z+2/3']], [['x, y, z', '-x, -y, z', 'x-y, -y, -z+1', '-x+y, y, -z+1'], ['x, y, z', '-x, -y, z', '-x, -x+y, -z+1/3', 'x, x-y, -z+1/3'], ['x, y, z', '-x, -y, z', 'y, x, -z+5/3', '-y, -x, -z+5/3']], [['x, y, z', '-x, -y, z', 'x-y, -y, -z', '-x+y, y, -z'], ['x, y, z', '-x, -y, z', '-x, -x+y, -z+4/3', 'x, x-y, -z+4/3'], ['x, y, z', '-x, -y, z', 'y, x, -z+2/3', '-y, -x, -z+2/3']]]\"\n181,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-x+y, y, -z+1'], ['x, y, z', 'x, x-y, -z+5/3'], ['x, y, z', '-y, -x, -z+1/3'], ['x, y, z', '-x+y, y, -z+1'], ['x, y, z', 'x, x-y, -z+5/3'], ['x, y, z', '-y, -x, -z+1/3']], [['x, y, z', '-x+y, y, -z'], ['x, y, z', 'x, x-y, -z+2/3'], ['x, y, z', '-y, -x, -z+4/3'], ['x, y, z', '-x+y, y, -z'], ['x, y, z', 'x, x-y, -z+2/3'], ['x, y, z', '-y, -x, -z+4/3']], [['x, y, z', 'x-y, -y, -z+1'], ['x, y, z', '-x, -x+y, -z+5/3'], ['x, y, z', 'y, x, -z+1/3'], ['x, y, z', 'x-y, -y, -z+1'], ['x, y, z', '-x, -x+y, -z+5/3'], ['x, y, z', 'y, x, -z+1/3']], [['x, y, z', 'x-y, -y, -z'], ['x, y, z', '-x, -x+y, -z+2/3'], ['x, y, z', 'y, x, -z+4/3'], ['x, y, z', 'x-y, -y, -z'], ['x, y, z', '-x, -x+y, -z+2/3'], ['x, y, z', 'y, x, -z+4/3']], [['x, y, z', '-x+1, -y, z'], ['x, y, z', '-x, -y+1, z'], ['x, y, z', '-x+1, -y+1, z'], ['x, y, z', '-x, -y+1, z'], ['x, y, z', '-x+1, -y, z'], ['x, y, z', '-x+1, -y+1, z']], [['x, y, z', '-x, -y, z'], ['x, y, z', '-x, -y, z'], ['x, y, z', '-x, -y, z'], ['x, y, z', '-x, -y, z'], ['x, y, z', '-x, -y, z'], ['x, y, z', '-x, -y, z']], [['x, y, z', '-x+1, -y, z', 'x-y, -y, -z+1', '-x+y+1, y, -z+1'], ['x, y, z', '-x, -y+1, z', '-x, -x+y, -z+5/3', 'x, x-y+1, -z+5/3'], ['x, y, z', '-x+1, -y+1, z', 'y, x, -z+1/3', '-y+1, -x+1, -z+1/3']], [['x, y, z', '-x+1, -y, z', 'x-y, -y, -z', '-x+y+1, y, -z'], ['x, y, z', '-x, -y+1, z', '-x, -x+y, -z+2/3', 'x, x-y+1, -z+2/3'], ['x, y, z', '-x+1, -y+1, z', 'y, x, -z+4/3', '-y+1, -x+1, -z+4/3']], [['x, y, z', '-x, -y, z', 'x-y, -y, -z+1', '-x+y, y, -z+1'], ['x, y, z', '-x, -y, z', '-x, -x+y, -z+5/3', 'x, x-y, -z+5/3'], ['x, y, z', '-x, -y, z', 'y, x, -z+1/3', '-y, -x, -z+1/3']], [['x, y, z', '-x, -y, z', 'x-y, -y, -z', '-x+y, y, -z'], ['x, y, z', '-x, -y, z', '-x, -x+y, -z+2/3', 'x, x-y, -z+2/3'], ['x, y, z', '-x, -y, z', 'y, x, -z+4/3', '-y, -x, -z+4/3']]]\"\n182,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-x+y, y, -z+1/2'], ['x, y, z', 'x, x-y, -z+1/2'], ['x, y, z', '-y, -x, -z+1/2'], ['x, y, z', '-x+y, y, -z+3/2'], ['x, y, z', 'x, x-y, -z+3/2'], ['x, y, z', '-y, -x, -z+3/2']], [['x, y, z', 'x-y, -y, -z'], ['x, y, z', '-x, -x+y, -z'], ['x, y, z', 'y, x, -z'], ['x, y, z', 'x-y, -y, -z+1'], ['x, y, z', '-x, -x+y, -z+1'], ['x, y, z', 'y, x, -z+1']], [['x, y, z', '-y+1, x-y+1, z', '-x+y, -x+1, z'], ['x, y, z', '-y+1, x-y, z', '-x+y+1, -x+1, z'], ['x, y, z', '-y+1, x-y, z', '-x+y+1, -x+1, z'], ['x, y, z', '-y+1, x-y+1, z', '-x+y, -x+1, z']], [['x, y, z', '-y, x-y, z', '-x+y, -x, z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z']], [['x, y, z', '-y+1, x-y+1, z', '-x+y, -x+1, z', '-y+1, -x+1, -z+3/2', '-x+y, y, -z+3/2', 'x, x-y+1, -z+3/2'], ['x, y, z', '-y+1, x-y, z', '-x+y+1, -x+1, z', '-y+1, -x+1, -z+1/2', '-x+y+1, y, -z+1/2', 'x, x-y, -z+1/2']], [['x, y, z', '-y+1, x-y+1, z', '-x+y, -x+1, z', '-y+1, -x+1, -z+1/2', '-x+y, y, -z+1/2', 'x, x-y+1, -z+1/2'], ['x, y, z', '-y+1, x-y, z', '-x+y+1, -x+1, z', '-y+1, -x+1, -z+3/2', '-x+y+1, y, -z+3/2', 'x, x-y, -z+3/2']], [['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-y, -x, -z+1/2', '-x+y, y, -z+1/2', 'x, x-y, -z+1/2'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-y, -x, -z+3/2', '-x+y, y, -z+3/2', 'x, x-y, -z+3/2']], [['x, y, z', '-y, x-y, z', '-x+y, -x, z', 'y, x, -z', 'x-y, -y, -z', '-x, -x+y, -z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', 'y, x, -z+1', 'x-y, -y, -z+1', '-x, -x+y, -z+1']]]\"\n183,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-y, -x, z'], ['x, y, z', '-x+y, y, z'], ['x, y, z', 'x, x-y, z'], ['x, y, z', '-y, -x, z'], ['x, y, z', '-x+y, y, z'], ['x, y, z', 'x, x-y, z']], [['x, y, z', 'x-y, -y, z'], ['x, y, z', '-x, -x+y, z'], ['x, y, z', 'y, x, z'], ['x, y, z', 'x-y, -y, z'], ['x, y, z', '-x, -x+y, z'], ['x, y, z', 'y, x, z']], [['x, y, z', '-x+1, -y, z', '-x+y+1, y, z', 'x-y, -y, z'], ['x, y, z', '-x, -y+1, z', 'x, x-y+1, z', '-x, -x+y, z'], ['x, y, z', '-x+1, -y+1, z', '-y+1, -x+1, z', 'y, x, z']], [['x, y, z', '-y+1, x-y+1, z', '-x+y, -x+1, z', '-y+1, -x+1, z', '-x+y, y, z', 'x, x-y+1, z'], ['x, y, z', '-y+1, x-y, z', '-x+y+1, -x+1, z', '-y+1, -x+1, z', '-x+y+1, y, z', 'x, x-y, z']], [['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, z', 'y, -x+y, z', 'x-y, x, z', '-y, -x, z', '-x+y, y, z', 'x, x-y, z', 'y, x, z', 'x-y, -y, z', '-x, -x+y, z']]]\"\n184,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-x+1, -y, z'], ['x, y, z', '-x, -y+1, z'], ['x, y, z', '-x+1, -y+1, z'], ['x, y, z', '-x, -y+1, z'], ['x, y, z', '-x+1, -y, z'], ['x, y, z', '-x+1, -y+1, z']], [['x, y, z', '-y+1, x-y+1, z', '-x+y, -x+1, z'], ['x, y, z', '-y+1, x-y, z', '-x+y+1, -x+1, z'], ['x, y, z', '-y+1, x-y+1, z', '-x+y, -x+1, z'], ['x, y, z', '-y+1, x-y, z', '-x+y+1, -x+1, z']], [['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, z', 'y, -x+y, z', 'x-y, x, z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, z', 'y, -x+y, z', 'x-y, x, z']]]\"\n185,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', 'x-y, -y, z'], ['x, y, z', '-x, -x+y, z'], ['x, y, z', 'y, x, z'], ['x, y, z', 'x-y, -y, z'], ['x, y, z', '-x, -x+y, z'], ['x, y, z', 'y, x, z']], [['x, y, z', '-y+1, x-y+1, z', '-x+y, -x+1, z'], ['x, y, z', '-y+1, x-y, z', '-x+y+1, -x+1, z'], ['x, y, z', '-y+1, x-y+1, z', '-x+y, -x+1, z'], ['x, y, z', '-y+1, x-y, z', '-x+y+1, -x+1, z']], [['x, y, z', '-y, x-y, z', '-x+y, -x, z', 'y, x, z', 'x-y, -y, z', '-x, -x+y, z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', 'y, x, z', 'x-y, -y, z', '-x, -x+y, z']]]\"\n186,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-y, -x, z'], ['x, y, z', '-x+y, y, z'], ['x, y, z', 'x, x-y, z'], ['x, y, z', '-y, -x, z'], ['x, y, z', '-x+y, y, z'], ['x, y, z', 'x, x-y, z']], [['x, y, z', '-y+1, x-y+1, z', '-x+y, -x+1, z', '-y+1, -x+1, z', '-x+y, y, z', 'x, x-y+1, z'], ['x, y, z', '-y+1, x-y, z', '-x+y+1, -x+1, z', '-y+1, -x+1, z', '-x+y+1, y, z', 'x, x-y, z']], [['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-y, -x, z', '-x+y, y, z', 'x, x-y, z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-y, -x, z', '-x+y, y, z', 'x, x-y, z']]]\"\n187,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-y, -x, z'], ['x, y, z', '-x+y, y, z'], ['x, y, z', 'x, x-y, z'], ['x, y, z', '-y, -x, z'], ['x, y, z', '-x+y, y, z'], ['x, y, z', 'x, x-y, z']], [['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1']], [['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z']], [['x, y, z', 'x, y, -z+1', '-y, -x, z', '-y, -x, -z+1'], ['x, y, z', 'x, y, -z+1', '-x+y, y, z', '-x+y, y, -z+1'], ['x, y, z', 'x, y, -z+1', 'x, x-y, z', 'x, x-y, -z+1']], [['x, y, z', 'x, y, -z', '-y, -x, z', '-y, -x, -z'], ['x, y, z', 'x, y, -z', '-x+y, y, z', '-x+y, y, -z'], ['x, y, z', 'x, y, -z', 'x, x-y, z', 'x, x-y, -z']], [['x, y, z', '-y+1, x-y, z', '-x+y+1, -x+1, z', '-y+1, -x+1, z', '-x+y+1, y, z', 'x, x-y, z'], ['x, y, z', '-y+1, x-y, z', '-x+y+1, -x+1, z', '-y+1, -x+1, z', '-x+y+1, y, z', 'x, x-y, z']], [['x, y, z', '-y+1, x-y+1, z', '-x+y, -x+1, z', '-y+1, -x+1, z', '-x+y, y, z', 'x, x-y+1, z'], ['x, y, z', '-y+1, x-y+1, z', '-x+y, -x+1, z', '-y+1, -x+1, z', '-x+y, y, z', 'x, x-y+1, z']], [['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-y, -x, z', '-x+y, y, z', 'x, x-y, z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-y, -x, z', '-x+y, y, z', 'x, x-y, z']], [['x, y, z', '-y+1, x-y, z', '-x+y+1, -x+1, z', 'x, y, -z+1', '-y+1, x-y, -z+1', '-x+y+1, -x+1, -z+1', '-y+1, -x+1, z', '-x+y+1, y, z', 'x, x-y, z', '-y+1, -x+1, -z+1', '-x+y+1, y, -z+1', 'x, x-y, -z+1']], [['x, y, z', '-y+1, x-y, z', '-x+y+1, -x+1, z', 'x, y, -z', '-y+1, x-y, -z', '-x+y+1, -x+1, -z', '-y+1, -x+1, z', '-x+y+1, y, z', 'x, x-y, z', '-y+1, -x+1, -z', '-x+y+1, y, -z', 'x, x-y, -z']], [['x, y, z', '-y+1, x-y+1, z', '-x+y, -x+1, z', 'x, y, -z+1', '-y+1, x-y+1, -z+1', '-x+y, -x+1, -z+1', '-y+1, -x+1, z', '-x+y, y, z', 'x, x-y+1, z', '-y+1, -x+1, -z+1', '-x+y, y, -z+1', 'x, x-y+1, -z+1']], [['x, y, z', '-y+1, x-y+1, z', '-x+y, -x+1, z', 'x, y, -z', '-y+1, x-y+1, -z', '-x+y, -x+1, -z', '-y+1, -x+1, z', '-x+y, y, z', 'x, x-y+1, z', '-y+1, -x+1, -z', '-x+y, y, -z', 'x, x-y+1, -z']], [['x, y, z', '-y, x-y, z', '-x+y, -x, z', 'x, y, -z+1', '-y, x-y, -z+1', '-x+y, -x, -z+1', '-y, -x, z', '-x+y, y, z', 'x, x-y, z', '-y, -x, -z+1', '-x+y, y, -z+1', 'x, x-y, -z+1']], [['x, y, z', '-y, x-y, z', '-x+y, -x, z', 'x, y, -z', '-y, x-y, -z', '-x+y, -x, -z', '-y, -x, z', '-x+y, y, z', 'x, x-y, z', '-y, -x, -z', '-x+y, y, -z', 'x, x-y, -z']]]\"\n188,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', 'x, y, -z+1/2'], ['x, y, z', 'x, y, -z+1/2'], ['x, y, z', 'x, y, -z+1/2'], ['x, y, z', 'x, y, -z+3/2'], ['x, y, z', 'x, y, -z+3/2'], ['x, y, z', 'x, y, -z+3/2']], [['x, y, z', '-y, -x, -z'], ['x, y, z', '-x+y, y, -z'], ['x, y, z', 'x, x-y, -z'], ['x, y, z', '-y, -x, -z+1'], ['x, y, z', '-x+y, y, -z+1'], ['x, y, z', 'x, x-y, -z+1']], [['x, y, z', '-y+1, x-y, z', '-x+y+1, -x+1, z'], ['x, y, z', '-y+1, x-y, z', '-x+y+1, -x+1, z'], ['x, y, z', '-y+1, x-y, z', '-x+y+1, -x+1, z'], ['x, y, z', '-y+1, x-y, z', '-x+y+1, -x+1, z']], [['x, y, z', '-y+1, x-y+1, z', '-x+y, -x+1, z'], ['x, y, z', '-y+1, x-y+1, z', '-x+y, -x+1, z'], ['x, y, z', '-y+1, x-y+1, z', '-x+y, -x+1, z'], ['x, y, z', '-y+1, x-y+1, z', '-x+y, -x+1, z']], [['x, y, z', '-y, x-y, z', '-x+y, -x, z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z']], [['x, y, z', '-y+1, x-y, z', '-x+y+1, -x+1, z', 'x, y, -z+1/2', '-y+1, x-y, -z+1/2', '-x+y+1, -x+1, -z+1/2'], ['x, y, z', '-y+1, x-y, z', '-x+y+1, -x+1, z', 'x, y, -z+3/2', '-y+1, x-y, -z+3/2', '-x+y+1, -x+1, -z+3/2']], [['x, y, z', '-y+1, x-y, z', '-x+y+1, -x+1, z', '-y+1, -x+1, -z', '-x+y+1, y, -z', 'x, x-y, -z'], ['x, y, z', '-y+1, x-y, z', '-x+y+1, -x+1, z', '-y+1, -x+1, -z+1', '-x+y+1, y, -z+1', 'x, x-y, -z+1']], [['x, y, z', '-y+1, x-y+1, z', '-x+y, -x+1, z', 'x, y, -z+1/2', '-y+1, x-y+1, -z+1/2', '-x+y, -x+1, -z+1/2'], ['x, y, z', '-y+1, x-y+1, z', '-x+y, -x+1, z', 'x, y, -z+3/2', '-y+1, x-y+1, -z+3/2', '-x+y, -x+1, -z+3/2']], [['x, y, z', '-y+1, x-y+1, z', '-x+y, -x+1, z', '-y+1, -x+1, -z', '-x+y, y, -z', 'x, x-y+1, -z'], ['x, y, z', '-y+1, x-y+1, z', '-x+y, -x+1, z', '-y+1, -x+1, -z+1', '-x+y, y, -z+1', 'x, x-y+1, -z+1']], [['x, y, z', '-y, x-y, z', '-x+y, -x, z', 'x, y, -z+1/2', '-y, x-y, -z+1/2', '-x+y, -x, -z+1/2'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', 'x, y, -z+3/2', '-y, x-y, -z+3/2', '-x+y, -x, -z+3/2']], [['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-y, -x, -z', '-x+y, y, -z', 'x, x-y, -z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-y, -x, -z+1', '-x+y, y, -z+1', 'x, x-y, -z+1']]]\"\n189,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1']], [['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z']], [['x, y, z', 'x-y, -y, z'], ['x, y, z', '-x, -x+y, z'], ['x, y, z', 'y, x, z'], ['x, y, z', 'x-y, -y, z'], ['x, y, z', '-x, -x+y, z'], ['x, y, z', 'y, x, z']], [['x, y, z', '-y+1, x-y+1, z', '-x+y, -x+1, z'], ['x, y, z', '-y+1, x-y+1, z', '-x+y, -x+1, z'], ['x, y, z', '-y+1, x-y, z', '-x+y+1, -x+1, z'], ['x, y, z', '-y+1, x-y, z', '-x+y+1, -x+1, z']], [['x, y, z', 'x, y, -z+1', 'x-y, -y, -z+1', 'x-y, -y, z'], ['x, y, z', 'x, y, -z+1', '-x, -x+y, -z+1', '-x, -x+y, z'], ['x, y, z', 'x, y, -z+1', 'y, x, -z+1', 'y, x, z']], [['x, y, z', 'x, y, -z', 'x-y, -y, -z', 'x-y, -y, z'], ['x, y, z', 'x, y, -z', '-x, -x+y, -z', '-x, -x+y, z'], ['x, y, z', 'x, y, -z', 'y, x, -z', 'y, x, z']], [['x, y, z', '-y, x-y, z', '-x+y, -x, z', 'y, x, z', 'x-y, -y, z', '-x, -x+y, z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', 'y, x, z', 'x-y, -y, z', '-x, -x+y, z']], [['x, y, z', '-y+1, x-y+1, z', '-x+y, -x+1, z', 'x, y, -z+1', '-y+1, x-y+1, -z+1', '-x+y, -x+1, -z+1'], ['x, y, z', '-y+1, x-y, z', '-x+y+1, -x+1, z', 'x, y, -z+1', '-y+1, x-y, -z+1', '-x+y+1, -x+1, -z+1']], [['x, y, z', '-y+1, x-y+1, z', '-x+y, -x+1, z', 'x, y, -z', '-y+1, x-y+1, -z', '-x+y, -x+1, -z'], ['x, y, z', '-y+1, x-y, z', '-x+y+1, -x+1, z', 'x, y, -z', '-y+1, x-y, -z', '-x+y+1, -x+1, -z']], [['x, y, z', '-y, x-y, z', '-x+y, -x, z', 'x, y, -z+1', '-y, x-y, -z+1', '-x+y, -x, -z+1', 'y, x, -z+1', 'x-y, -y, -z+1', '-x, -x+y, -z+1', 'y, x, z', 'x-y, -y, z', '-x, -x+y, z']], [['x, y, z', '-y, x-y, z', '-x+y, -x, z', 'x, y, -z', '-y, x-y, -z', '-x+y, -x, -z', 'y, x, -z', 'x-y, -y, -z', '-x, -x+y, -z', 'y, x, z', 'x-y, -y, z', '-x, -x+y, z']]]\"\n190,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', 'x, y, -z+1/2'], ['x, y, z', 'x, y, -z+1/2'], ['x, y, z', 'x, y, -z+1/2'], ['x, y, z', 'x, y, -z+3/2'], ['x, y, z', 'x, y, -z+3/2'], ['x, y, z', 'x, y, -z+3/2']], [['x, y, z', 'x-y, -y, -z'], ['x, y, z', '-x, -x+y, -z'], ['x, y, z', 'y, x, -z'], ['x, y, z', 'x-y, -y, -z+1'], ['x, y, z', '-x, -x+y, -z+1'], ['x, y, z', 'y, x, -z+1']], [['x, y, z', '-y+1, x-y+1, z', '-x+y, -x+1, z'], ['x, y, z', '-y+1, x-y+1, z', '-x+y, -x+1, z'], ['x, y, z', '-y+1, x-y, z', '-x+y+1, -x+1, z'], ['x, y, z', '-y+1, x-y, z', '-x+y+1, -x+1, z']], [['x, y, z', '-y, x-y, z', '-x+y, -x, z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z']], [['x, y, z', '-y+1, x-y, z', '-x+y+1, -x+1, z', 'x, y, -z+1/2', '-y+1, x-y, -z+1/2', '-x+y+1, -x+1, -z+1/2'], ['x, y, z', '-y+1, x-y+1, z', '-x+y, -x+1, z', 'x, y, -z+3/2', '-y+1, x-y+1, -z+3/2', '-x+y, -x+1, -z+3/2']], [['x, y, z', '-y+1, x-y+1, z', '-x+y, -x+1, z', 'x, y, -z+1/2', '-y+1, x-y+1, -z+1/2', '-x+y, -x+1, -z+1/2'], ['x, y, z', '-y+1, x-y, z', '-x+y+1, -x+1, z', 'x, y, -z+3/2', '-y+1, x-y, -z+3/2', '-x+y+1, -x+1, -z+3/2']], [['x, y, z', '-y, x-y, z', '-x+y, -x, z', 'x, y, -z+1/2', '-y, x-y, -z+1/2', '-x+y, -x, -z+1/2'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', 'x, y, -z+3/2', '-y, x-y, -z+3/2', '-x+y, -x, -z+3/2']], [['x, y, z', '-y, x-y, z', '-x+y, -x, z', 'y, x, -z', 'x-y, -y, -z', '-x, -x+y, -z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', 'y, x, -z+1', 'x-y, -y, -z+1', '-x, -x+y, -z+1']]]\"\n191,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1']], [['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z']], [['x, y, z', '-x+y, y, z'], ['x, y, z', 'x, x-y, z'], ['x, y, z', '-y, -x, z'], ['x, y, z', '-x+y, y, z'], ['x, y, z', 'x, x-y, z'], ['x, y, z', '-y, -x, z'], ['x, y, z', 'x, x-y, z'], ['x, y, z', '-x+y, y, z'], ['x, y, z', '-y, -x, z'], ['x, y, z', 'x, x-y, z'], ['x, y, z', '-x+y, y, z'], ['x, y, z', '-y, -x, z']], [['x, y, z', 'x-y, -y, z'], ['x, y, z', '-x, -x+y, z'], ['x, y, z', 'y, x, z'], ['x, y, z', 'x-y, -y, z'], ['x, y, z', '-x, -x+y, z'], ['x, y, z', 'y, x, z'], ['x, y, z', '-x, -x+y, z'], ['x, y, z', 'x-y, -y, z'], ['x, y, z', 'y, x, z'], ['x, y, z', '-x, -x+y, z'], ['x, y, z', 'x-y, -y, z'], ['x, y, z', 'y, x, z']], [['x, y, z', '-x+y, y, -z+1', 'x, y, -z+1', '-x+y, y, z'], ['x, y, z', 'x, x-y, -z+1', 'x, y, -z+1', 'x, x-y, z'], ['x, y, z', '-y, -x, -z+1', 'x, y, -z+1', '-y, -x, z'], ['x, y, z', '-x+y, y, -z+1', 'x, y, -z+1', '-x+y, y, z'], ['x, y, z', 'x, x-y, -z+1', 'x, y, -z+1', 'x, x-y, z'], ['x, y, z', '-y, -x, -z+1', 'x, y, -z+1', '-y, -x, z']], [['x, y, z', '-x+y, y, -z', 'x, y, -z', '-x+y, y, z'], ['x, y, z', 'x, x-y, -z', 'x, y, -z', 'x, x-y, z'], ['x, y, z', '-y, -x, -z', 'x, y, -z', '-y, -x, z'], ['x, y, z', '-x+y, y, -z', 'x, y, -z', '-x+y, y, z'], ['x, y, z', 'x, x-y, -z', 'x, y, -z', 'x, x-y, z'], ['x, y, z', '-y, -x, -z', 'x, y, -z', '-y, -x, z']], [['x, y, z', 'x-y, -y, -z+1', 'x, y, -z+1', 'x-y, -y, z'], ['x, y, z', '-x, -x+y, -z+1', 'x, y, -z+1', '-x, -x+y, z'], ['x, y, z', 'y, x, -z+1', 'x, y, -z+1', 'y, x, z'], ['x, y, z', 'x-y, -y, -z+1', 'x, y, -z+1', 'x-y, -y, z'], ['x, y, z', '-x, -x+y, -z+1', 'x, y, -z+1', '-x, -x+y, z'], ['x, y, z', 'y, x, -z+1', 'x, y, -z+1', 'y, x, z']], [['x, y, z', 'x-y, -y, -z', 'x, y, -z', 'x-y, -y, z'], ['x, y, z', '-x, -x+y, -z', 'x, y, -z', '-x, -x+y, z'], ['x, y, z', 'y, x, -z', 'x, y, -z', 'y, x, z'], ['x, y, z', 'x-y, -y, -z', 'x, y, -z', 'x-y, -y, z'], ['x, y, z', '-x, -x+y, -z', 'x, y, -z', '-x, -x+y, z'], ['x, y, z', 'y, x, -z', 'x, y, -z', 'y, x, z']], [['x, y, z', '-x+1, -y, z', '-x+y+1, y, z', 'x-y, -y, z'], ['x, y, z', '-x, -y+1, z', 'x, x-y+1, z', '-x, -x+y, z'], ['x, y, z', '-x+1, -y+1, z', '-y+1, -x+1, z', 'y, x, z'], ['x, y, z', '-x, -y+1, z', 'x, x-y+1, z', '-x, -x+y, z'], ['x, y, z', '-x+1, -y, z', '-x+y+1, y, z', 'x-y, -y, z'], ['x, y, z', '-x+1, -y+1, z', '-y+1, -x+1, z', 'y, x, z']], [['x, y, z', '-y+1, x-y+1, z', '-x+y, -x+1, z', '-y+1, -x+1, z', '-x+y, y, z', 'x, x-y+1, z'], ['x, y, z', '-y+1, x-y, z', '-x+y+1, -x+1, z', '-y+1, -x+1, z', '-x+y+1, y, z', 'x, x-y, z'], ['x, y, z', '-y+1, x-y, z', '-x+y+1, -x+1, z', '-y+1, -x+1, z', '-x+y+1, y, z', 'x, x-y, z'], ['x, y, z', '-y+1, x-y+1, z', '-x+y, -x+1, z', '-y+1, -x+1, z', '-x+y, y, z', 'x, x-y+1, z']], [['x, y, z', '-x+1, -y, z', 'x-y, -y, -z+1', '-x+y+1, y, -z+1', '-x+1, -y, -z+1', 'x, y, -z+1', '-x+y+1, y, z', 'x-y, -y, z'], ['x, y, z', '-x, -y+1, z', '-x, -x+y, -z+1', 'x, x-y+1, -z+1', '-x, -y+1, -z+1', 'x, y, -z+1', 'x, x-y+1, z', '-x, -x+y, z'], ['x, y, z', '-x+1, -y+1, z', 'y, x, -z+1', '-y+1, -x+1, -z+1', '-x+1, -y+1, -z+1', 'x, y, -z+1', '-y+1, -x+1, z', 'y, x, z']], [['x, y, z', '-x+1, -y, z', 'x-y, -y, -z', '-x+y+1, y, -z', '-x+1, 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'-x+y+1, y, z', 'x, x-y, z']], [['x, y, z', '-y+1, x-y+1, z', '-x+y, -x+1, z', '-y+1, -x+1, -z', '-x+y, y, -z', 'x, x-y+1, -z', 'x, y, -z', '-y+1, x-y+1, -z', '-x+y, -x+1, -z', '-y+1, -x+1, z', '-x+y, y, z', 'x, x-y+1, z'], ['x, y, z', '-y+1, x-y, z', '-x+y+1, -x+1, z', '-y+1, -x+1, -z', '-x+y+1, y, -z', 'x, x-y, -z', 'x, y, -z', '-y+1, x-y, -z', '-x+y+1, -x+1, -z', '-y+1, -x+1, z', '-x+y+1, y, z', 'x, x-y, z']], [['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, z', 'y, -x+y, z', 'x-y, x, z', 'y, x, -z+1', 'x-y, -y, -z+1', '-x, -x+y, -z+1', '-y, -x, -z+1', '-x+y, y, -z+1', 'x, x-y, -z+1', '-x, -y, -z+1', 'y, -x+y, -z+1', 'x-y, x, -z+1', 'x, y, -z+1', '-y, x-y, -z+1', '-x+y, -x, -z+1', '-y, -x, z', '-x+y, y, z', 'x, x-y, z', 'y, x, z', 'x-y, -y, z', '-x, -x+y, z']], [['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, z', 'y, -x+y, z', 'x-y, x, z', 'y, x, -z', 'x-y, -y, -z', '-x, -x+y, -z', '-y, -x, -z', '-x+y, y, -z', 'x, x-y, -z', '-x, -y, -z', 'y, -x+y, -z', 'x-y, x, -z', 'x, y, -z', 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-z+3/2'], ['x, y, z', '-y, -x, -z+3/2'], ['x, y, z', '-x+y, y, -z+3/2'], ['x, y, z', 'x, x-y, -z+3/2'], ['x, y, z', '-y, -x, -z+3/2']], [['x, y, z', 'x-y, -y, -z+1/2'], ['x, y, z', '-x, -x+y, -z+1/2'], ['x, y, z', 'y, x, -z+1/2'], ['x, y, z', 'x-y, -y, -z+1/2'], ['x, y, z', '-x, -x+y, -z+1/2'], ['x, y, z', 'y, x, -z+1/2'], ['x, y, z', 'x-y, -y, -z+3/2'], ['x, y, z', '-x, -x+y, -z+3/2'], ['x, y, z', 'y, x, -z+3/2'], ['x, y, z', 'x-y, -y, -z+3/2'], ['x, y, z', '-x, -x+y, -z+3/2'], ['x, y, z', 'y, x, -z+3/2']], [['x, y, z', '-x+1, -y, z'], ['x, y, z', '-x, -y+1, z'], ['x, y, z', '-x+1, -y+1, z'], ['x, y, z', '-x, -y+1, z'], ['x, y, z', '-x+1, -y, z'], ['x, y, z', '-x+1, -y+1, z'], ['x, y, z', '-x+1, -y, z'], ['x, y, z', '-x, -y+1, z'], ['x, y, z', '-x+1, -y+1, z'], ['x, y, z', '-x, -y+1, z'], ['x, y, z', '-x+1, -y, z'], ['x, y, z', '-x+1, -y+1, z']], [['x, y, z', '-y+1, x-y+1, z', '-x+y, -x+1, z'], ['x, y, z', '-y+1, x-y, z', '-x+y+1, -x+1, z'], ['x, y, z', '-y+1, x-y, z', '-x+y+1, -x+1, z'], ['x, y, z', '-y+1, x-y+1, z', '-x+y, -x+1, z'], ['x, y, z', '-y+1, x-y, z', '-x+y+1, -x+1, z'], ['x, y, z', '-y+1, x-y+1, z', '-x+y, -x+1, z'], ['x, y, z', '-y+1, x-y+1, z', '-x+y, -x+1, z'], ['x, y, z', '-y+1, x-y, z', '-x+y+1, -x+1, z']], [['x, y, z', '-x+1, -y, z', '-x+1, -y, -z', 'x, y, -z'], ['x, y, z', '-x, -y+1, z', '-x, -y+1, -z', 'x, y, -z'], ['x, y, z', '-x+1, -y+1, z', '-x+1, -y+1, -z', 'x, y, -z'], ['x, y, z', '-x, -y+1, z', '-x, -y+1, -z+1', 'x, y, -z+1'], ['x, y, z', '-x+1, -y, z', '-x+1, -y, -z+1', 'x, y, -z+1'], ['x, y, z', '-x+1, -y+1, z', '-x+1, -y+1, -z+1', 'x, y, -z+1']], [['x, y, z', '-x+1, -y, z', 'x-y, -y, -z+1/2', '-x+y+1, y, -z+1/2'], ['x, y, z', '-x, -y+1, z', '-x, -x+y, -z+1/2', 'x, x-y+1, -z+1/2'], ['x, y, z', '-x+1, -y+1, z', 'y, x, -z+1/2', '-y+1, -x+1, -z+1/2'], ['x, y, z', '-x+1, -y, z', 'x-y, -y, -z+3/2', '-x+y+1, y, -z+3/2'], ['x, y, z', '-x, -y+1, z', '-x, -x+y, -z+3/2', 'x, x-y+1, -z+3/2'], ['x, y, z', '-x+1, -y+1, z', 'y, x, -z+3/2', '-y+1, -x+1, -z+3/2']], [['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, z', 'y, -x+y, z', 'x-y, x, z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, z', 'y, -x+y, z', 'x-y, x, z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, z', 'y, -x+y, z', 'x-y, x, z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, z', 'y, -x+y, z', 'x-y, x, z']], [['x, y, z', '-y+1, x-y+1, z', '-x+y, -x+1, z', 'x, y, -z', '-y+1, x-y+1, -z', '-x+y, -x+1, -z'], ['x, y, z', '-y+1, x-y, z', '-x+y+1, -x+1, z', 'x, y, -z', '-y+1, x-y, -z', '-x+y+1, -x+1, -z'], ['x, y, z', '-y+1, x-y, z', '-x+y+1, -x+1, z', 'x, y, -z+1', '-y+1, x-y, -z+1', '-x+y+1, -x+1, -z+1'], ['x, y, z', '-y+1, x-y+1, z', '-x+y, -x+1, z', 'x, y, -z+1', '-y+1, x-y+1, -z+1', '-x+y, -x+1, -z+1']], [['x, y, z', '-y+1, x-y+1, z', '-x+y, -x+1, z', '-y+1, -x+1, -z+1/2', '-x+y, y, -z+1/2', 'x, x-y+1, -z+1/2'], ['x, y, z', '-y+1, x-y, z', '-x+y+1, -x+1, z', '-y+1, -x+1, -z+1/2', '-x+y+1, y, -z+1/2', 'x, x-y, -z+1/2'], ['x, y, z', '-y+1, x-y, z', '-x+y+1, -x+1, z', '-y+1, -x+1, -z+3/2', '-x+y+1, y, -z+3/2', 'x, x-y, -z+3/2'], ['x, y, z', '-y+1, x-y+1, z', '-x+y, -x+1, z', '-y+1, -x+1, -z+3/2', '-x+y, y, -z+3/2', 'x, x-y+1, -z+3/2']], [['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, z', 'y, -x+y, z', 'x-y, x, z', '-x, -y, -z', 'y, -x+y, -z', 'x-y, x, -z', 'x, y, -z', '-y, x-y, -z', '-x+y, -x, -z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, z', 'y, -x+y, z', 'x-y, x, z', '-x, -y, -z+1', 'y, -x+y, -z+1', 'x-y, x, -z+1', 'x, y, -z+1', '-y, x-y, -z+1', '-x+y, -x, -z+1']], [['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, z', 'y, -x+y, z', 'x-y, x, z', 'y, x, -z+1/2', 'x-y, -y, -z+1/2', '-x, -x+y, -z+1/2', '-y, -x, -z+1/2', '-x+y, y, -z+1/2', 'x, x-y, -z+1/2'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-x, -y, z', 'y, -x+y, z', 'x-y, x, z', 'y, x, -z+3/2', 'x-y, -y, -z+3/2', '-x, -x+y, -z+3/2', '-y, -x, -z+3/2', '-x+y, y, -z+3/2', 'x, x-y, -z+3/2']]]\"\n193,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', 'x-y, -y, z'], ['x, y, z', '-x, -x+y, z'], ['x, y, z', 'y, x, z'], ['x, y, z', 'x-y, -y, z'], ['x, y, z', '-x, -x+y, z'], ['x, y, z', 'y, x, z'], ['x, y, z', '-x, -x+y, z'], ['x, y, z', 'x-y, -y, z'], ['x, y, z', 'y, x, z'], ['x, y, z', '-x, -x+y, z'], ['x, y, z', 'x-y, -y, z'], ['x, y, z', 'y, x, z']], [['x, y, z', 'x, y, -z+1/2'], ['x, y, z', 'x, y, -z+1/2'], ['x, y, z', 'x, y, -z+1/2'], ['x, y, z', 'x, y, -z+3/2'], ['x, y, z', 'x, y, -z+3/2'], ['x, y, z', 'x, y, -z+3/2'], ['x, y, z', 'x, y, -z+1/2'], ['x, y, z', 'x, y, -z+1/2'], ['x, y, z', 'x, y, -z+1/2'], ['x, y, z', 'x, y, -z+3/2'], ['x, y, z', 'x, y, -z+3/2'], ['x, y, z', 'x, y, -z+3/2']], [['x, y, z', '-x+y, y, -z'], ['x, y, z', 'x, x-y, -z'], ['x, y, z', '-y, -x, -z'], ['x, y, z', '-x+y, y, -z+1'], ['x, y, z', 'x, x-y, -z+1'], ['x, y, z', '-y, -x, -z+1'], ['x, y, z', '-x+y, y, -z'], ['x, y, z', 'x, x-y, -z'], ['x, y, z', '-y, -x, -z'], ['x, y, z', '-x+y, y, -z+1'], ['x, y, z', 'x, x-y, -z+1'], ['x, y, z', '-y, -x, -z+1']], [['x, y, z', '-y+1, x-y+1, z', '-x+y, -x+1, z'], ['x, y, z', '-y+1, x-y, z', '-x+y+1, -x+1, z'], ['x, y, z', '-y+1, x-y, z', '-x+y+1, -x+1, z'], ['x, y, z', '-y+1, x-y+1, z', '-x+y, -x+1, z'], ['x, y, z', '-y+1, x-y, z', '-x+y+1, -x+1, z'], ['x, y, z', '-y+1, x-y+1, z', '-x+y, -x+1, z'], ['x, y, z', '-y+1, x-y+1, z', '-x+y, -x+1, z'], ['x, y, z', '-y+1, x-y, z', '-x+y+1, -x+1, z']], [['x, y, z', 'x-y, -y, -z+1/2', 'x, y, -z+1/2', 'x-y, -y, z'], ['x, y, z', '-x, -x+y, -z+1/2', 'x, y, -z+1/2', '-x, -x+y, z'], ['x, y, z', 'y, x, -z+1/2', 'x, y, -z+1/2', 'y, x, z'], ['x, y, z', 'x-y, -y, -z+3/2', 'x, y, -z+3/2', 'x-y, -y, z'], ['x, y, z', '-x, -x+y, -z+3/2', 'x, y, -z+3/2', '-x, -x+y, z'], ['x, y, z', 'y, x, -z+3/2', 'x, y, -z+3/2', 'y, x, z']], [['x, y, z', '-x+y+1, y, -z', '-x+1, -y, -z', 'x-y, -y, z'], ['x, y, z', 'x, x-y+1, -z', '-x, -y+1, -z', '-x, -x+y, z'], ['x, y, z', '-y+1, -x+1, -z', '-x+1, -y+1, -z', 'y, x, z'], ['x, y, z', '-x+y+1, y, -z+1', '-x+1, -y, -z+1', 'x-y, -y, z'], ['x, y, z', 'x, x-y+1, -z+1', '-x, -y+1, -z+1', '-x, -x+y, z'], ['x, y, z', '-y+1, -x+1, -z+1', '-x+1, -y+1, -z+1', 'y, x, z']], [['x, y, z', '-y, x-y, z', '-x+y, -x, z', 'y, x, z', 'x-y, -y, z', '-x, -x+y, z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', 'y, x, z', 'x-y, -y, z', '-x, -x+y, z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', 'y, x, z', 'x-y, -y, z', '-x, -x+y, z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', 'y, x, z', 'x-y, -y, z', '-x, -x+y, z']], [['x, y, z', '-y+1, x-y+1, z', '-x+y, -x+1, z', '-y+1, -x+1, -z', '-x+y, y, -z', 'x, x-y+1, -z'], ['x, y, z', '-y+1, x-y, z', '-x+y+1, -x+1, z', '-y+1, -x+1, -z+1', '-x+y+1, y, -z+1', 'x, x-y, -z+1'], ['x, y, z', '-y+1, x-y, z', '-x+y+1, -x+1, z', '-y+1, -x+1, -z', '-x+y+1, y, -z', 'x, x-y, -z'], ['x, y, z', '-y+1, x-y+1, z', '-x+y, -x+1, z', '-y+1, -x+1, -z+1', '-x+y, y, -z+1', 'x, x-y+1, -z+1']], [['x, y, z', '-y+1, x-y+1, z', '-x+y, -x+1, z', 'x, y, -z+1/2', '-y+1, x-y+1, -z+1/2', '-x+y, -x+1, -z+1/2'], ['x, y, z', '-y+1, x-y, z', '-x+y+1, -x+1, z', 'x, y, -z+3/2', '-y+1, x-y, -z+3/2', '-x+y+1, -x+1, -z+3/2'], ['x, y, z', '-y+1, x-y, z', '-x+y+1, -x+1, z', 'x, y, -z+1/2', '-y+1, x-y, -z+1/2', '-x+y+1, -x+1, -z+1/2'], ['x, y, z', '-y+1, x-y+1, z', '-x+y, -x+1, z', 'x, y, -z+3/2', '-y+1, x-y+1, -z+3/2', '-x+y, -x+1, -z+3/2']], [['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-y, -x, -z', '-x+y, y, -z', 'x, x-y, -z', '-x, -y, -z', 'y, -x+y, -z', 'x-y, x, -z', 'y, x, z', 'x-y, -y, z', '-x, -x+y, z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-y, -x, -z+1', '-x+y, y, -z+1', 'x, x-y, -z+1', '-x, -y, -z+1', 'y, -x+y, -z+1', 'x-y, x, -z+1', 'y, x, z', 'x-y, -y, z', '-x, -x+y, z']], [['x, y, z', '-y, x-y, z', '-x+y, -x, z', 'y, x, -z+1/2', 'x-y, -y, -z+1/2', '-x, -x+y, -z+1/2', 'x, y, -z+1/2', '-y, x-y, -z+1/2', '-x+y, -x, -z+1/2', 'y, x, z', 'x-y, -y, z', '-x, -x+y, z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', 'y, x, -z+3/2', 'x-y, -y, -z+3/2', '-x, -x+y, -z+3/2', 'x, y, -z+3/2', '-y, x-y, -z+3/2', '-x+y, -x, -z+3/2', 'y, x, z', 'x-y, -y, z', '-x, -x+y, z']]]\"\n194,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-x+y, y, z'], ['x, y, z', 'x, x-y, z'], ['x, y, z', '-y, -x, z'], ['x, y, z', '-x+y, y, z'], ['x, y, z', 'x, x-y, z'], ['x, y, z', '-y, -x, z'], ['x, y, z', 'x, x-y, z'], ['x, y, z', '-x+y, y, z'], ['x, y, z', '-y, -x, z'], ['x, y, z', 'x, x-y, z'], ['x, y, z', '-x+y, y, z'], ['x, y, z', '-y, -x, z']], [['x, y, z', 'x, y, -z+1/2'], ['x, y, z', 'x, y, -z+1/2'], ['x, y, z', 'x, y, -z+1/2'], ['x, y, z', 'x, y, -z+3/2'], ['x, y, z', 'x, y, -z+3/2'], ['x, y, z', 'x, y, -z+3/2'], ['x, y, z', 'x, y, -z+3/2'], ['x, y, z', 'x, y, -z+3/2'], ['x, y, z', 'x, y, -z+3/2'], ['x, y, z', 'x, y, -z+1/2'], ['x, y, z', 'x, y, -z+1/2'], ['x, y, z', 'x, y, -z+1/2']], [['x, y, z', 'x-y, -y, -z'], ['x, y, z', '-x, -x+y, -z'], ['x, y, z', 'y, x, -z'], ['x, y, z', 'x-y, -y, -z+1'], ['x, y, z', '-x, -x+y, -z+1'], ['x, y, z', 'y, x, -z+1'], ['x, y, z', 'x-y, -y, -z'], ['x, y, z', '-x, -x+y, -z'], ['x, y, z', 'y, x, -z'], ['x, y, z', 'x-y, -y, -z+1'], ['x, y, z', '-x, -x+y, -z+1'], ['x, y, z', 'y, x, -z+1']], [['x, y, z', '-x+y, y, -z+1/2', 'x, y, -z+1/2', '-x+y, y, z'], ['x, y, z', 'x, x-y, -z+1/2', 'x, y, -z+1/2', 'x, x-y, z'], ['x, y, z', '-y, -x, -z+1/2', 'x, y, -z+1/2', '-y, -x, z'], ['x, y, z', '-x+y, y, -z+3/2', 'x, y, -z+3/2', '-x+y, y, z'], ['x, y, z', 'x, x-y, -z+3/2', 'x, y, -z+3/2', 'x, x-y, z'], ['x, y, z', '-y, -x, -z+3/2', 'x, y, -z+3/2', '-y, -x, z']], [['x, y, z', 'x-y, -y, -z', '-x+1, -y, -z', '-x+y+1, y, z'], ['x, y, z', '-x, -x+y, -z', '-x, -y+1, -z', 'x, x-y+1, z'], ['x, y, z', 'y, x, -z', '-x+1, -y+1, -z', '-y+1, -x+1, z'], ['x, y, z', 'x-y, -y, -z+1', '-x+1, -y, -z+1', '-x+y+1, y, z'], ['x, y, z', '-x, -x+y, -z+1', '-x, -y+1, -z+1', 'x, x-y+1, z'], ['x, y, z', 'y, x, -z+1', '-x+1, -y+1, -z+1', '-y+1, -x+1, z']], [['x, y, z', '-y+1, x-y+1, z', '-x+y, -x+1, z', '-y+1, -x+1, z', '-x+y, y, z', 'x, x-y+1, z'], ['x, y, z', '-y+1, x-y, z', '-x+y+1, -x+1, z', '-y+1, -x+1, z', '-x+y+1, y, z', 'x, x-y, z'], ['x, y, z', '-y+1, x-y, z', '-x+y+1, -x+1, z', '-y+1, -x+1, z', '-x+y+1, y, z', 'x, x-y, z'], ['x, y, z', '-y+1, x-y+1, z', '-x+y, -x+1, z', '-y+1, -x+1, z', '-x+y, y, z', 'x, x-y+1, z']], [['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-y, -x, z', '-x+y, y, z', 'x, x-y, z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-y, -x, z', '-x+y, y, z', 'x, x-y, z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-y, -x, z', '-x+y, y, z', 'x, x-y, z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-y, -x, z', '-x+y, y, z', 'x, x-y, z']], [['x, y, z', '-y+1, x-y+1, z', '-x+y, -x+1, z', '-y+1, -x+1, -z+3/2', '-x+y, y, -z+3/2', 'x, x-y+1, -z+3/2', 'x, y, -z+3/2', '-y+1, x-y+1, -z+3/2', '-x+y, -x+1, -z+3/2', '-y+1, -x+1, z', '-x+y, y, z', 'x, x-y+1, z'], ['x, y, z', '-y+1, x-y, z', '-x+y+1, -x+1, z', '-y+1, -x+1, -z+1/2', '-x+y+1, y, -z+1/2', 'x, x-y, -z+1/2', 'x, y, -z+1/2', '-y+1, x-y, -z+1/2', '-x+y+1, -x+1, -z+1/2', '-y+1, -x+1, z', '-x+y+1, y, z', 'x, x-y, z']], [['x, y, z', '-y+1, x-y+1, z', '-x+y, -x+1, z', '-y+1, -x+1, -z+1/2', '-x+y, y, -z+1/2', 'x, x-y+1, -z+1/2', 'x, y, -z+1/2', '-y+1, x-y+1, -z+1/2', '-x+y, -x+1, -z+1/2', '-y+1, -x+1, z', '-x+y, y, z', 'x, x-y+1, z'], ['x, y, z', '-y+1, x-y, z', '-x+y+1, -x+1, z', '-y+1, -x+1, -z+3/2', '-x+y+1, y, -z+3/2', 'x, x-y, -z+3/2', 'x, y, -z+3/2', '-y+1, x-y, -z+3/2', '-x+y+1, -x+1, -z+3/2', '-y+1, -x+1, z', '-x+y+1, y, z', 'x, x-y, z']], [['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-y, -x, -z+1/2', '-x+y, y, -z+1/2', 'x, x-y, -z+1/2', 'x, y, -z+1/2', '-y, x-y, -z+1/2', '-x+y, -x, -z+1/2', '-y, -x, z', '-x+y, y, z', 'x, x-y, z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', '-y, -x, -z+3/2', '-x+y, y, -z+3/2', 'x, x-y, -z+3/2', 'x, y, -z+3/2', '-y, x-y, -z+3/2', '-x+y, -x, -z+3/2', '-y, -x, z', '-x+y, y, z', 'x, x-y, z']], [['x, y, z', '-y, x-y, z', '-x+y, -x, z', 'y, x, -z', 'x-y, -y, -z', '-x, -x+y, -z', '-x, -y, -z', 'y, -x+y, -z', 'x-y, x, -z', '-y, -x, z', '-x+y, y, z', 'x, x-y, z'], ['x, y, z', '-y, x-y, z', '-x+y, -x, z', 'y, x, -z+1', 'x-y, -y, -z+1', '-x, -x+y, -z+1', '-x, -y, -z+1', 'y, -x+y, -z+1', 'x-y, x, -z+1', '-y, -x, z', '-x+y, y, z', 'x, x-y, z']]]\"\n195,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', 'x, -y+1, -z+1'], ['x, y, z', 'x, -y+1, -z+1'], ['x, y, z', '-x+1, y, -z+1'], ['x, y, z', '-x+1, y, -z+1'], ['x, y, z', '-x+1, -y+1, z'], ['x, y, z', '-x+1, -y+1, z']], [['x, y, z', 'x, -y+1, -z'], ['x, y, z', 'x, -y+1, -z'], ['x, y, z', '-x, y, -z+1'], ['x, y, z', '-x, y, -z+1'], ['x, y, z', '-x+1, -y, z'], ['x, y, z', '-x+1, -y, z']], [['x, y, z', 'x, -y, -z+1'], ['x, y, z', 'x, -y, -z+1'], ['x, y, z', '-x+1, y, -z'], ['x, y, z', '-x+1, y, -z'], ['x, y, z', '-x, -y+1, z'], ['x, y, z', '-x, -y+1, z']], [['x, y, z', 'x, -y, -z'], ['x, y, z', 'x, -y, -z'], ['x, y, z', '-x, y, -z'], ['x, y, z', '-x, y, -z'], ['x, y, z', '-x, -y, z'], ['x, y, z', '-x, -y, z']], [['x, y, z', 'z, x, y', 'y, z, x'], ['x, y, z', '-z, x, -y', 'y, -z, -x'], ['x, y, z', 'z, -x, -y', '-y, -z, x'], ['x, y, z', '-z, -x, y', '-y, z, -x']], [['x, y, z', '-x+1, -y, z', '-x+1, y, -z', 'x, -y, -z'], ['x, y, z', '-x, -y+1, z', '-x, y, -z', 'x, -y+1, -z'], ['x, y, z', '-x, -y, z', '-x, y, -z+1', 'x, -y, -z+1']], [['x, y, z', '-x, -y+1, z', '-x, y, -z+1', 'x, -y+1, -z+1'], ['x, y, z', '-x+1, -y, z', '-x+1, y, -z+1', 'x, -y, -z+1'], ['x, y, z', '-x+1, -y+1, z', '-x+1, y, -z', 'x, -y+1, -z']], [['x, y, z', '-x+1, -y+1, z', '-x+1, y, -z+1', 'x, -y+1, -z+1', 'z, x, y', 'z, -x+1, -y+1', '-z+1, -x+1, y', '-z+1, x, -y+1', 'y, z, x', '-y+1, z, -x+1', 'y, -z+1, -x+1', '-y+1, -z+1, x']], [['x, y, z', '-x, -y, z', '-x, y, -z', 'x, -y, -z', 'z, x, y', 'z, -x, -y', '-z, -x, y', '-z, x, -y', 'y, z, x', '-y, z, -x', 'y, -z, -x', '-y, -z, x']]]\"\n196,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', 'x, -y+1/2, -z+1/2'], ['x, y, z', 'x, -y+3/2, -z+1/2'], ['x, y, z', '-x+1/2, y, -z+1/2'], ['x, y, z', '-x+1/2, y, -z+3/2'], ['x, y, z', '-x+1/2, -y+1/2, z'], ['x, y, z', '-x+3/2, -y+1/2, z'], ['x, y, z', 'x, -y+3/2, -z+3/2'], ['x, y, z', 'x, -y+5/2, -z+3/2'], ['x, y, z', '-x+1/2, y, -z+3/2'], ['x, y, z', '-x+1/2, y, -z+5/2'], ['x, y, z', '-x+1/2, -y+3/2, z'], ['x, y, z', '-x+3/2, -y+3/2, z'], ['x, y, z', 'x, -y+1/2, -z+3/2'], ['x, y, z', 'x, -y+3/2, -z+3/2'], ['x, y, z', '-x+3/2, y, -z+3/2'], ['x, y, z', '-x+3/2, y, -z+5/2'], ['x, y, z', '-x+3/2, -y+1/2, z'], ['x, y, z', '-x+5/2, -y+1/2, z'], ['x, y, z', 'x, -y+3/2, -z+1/2'], ['x, y, z', 'x, -y+5/2, -z+1/2'], ['x, y, z', '-x+3/2, y, -z+1/2'], ['x, y, z', '-x+3/2, y, -z+3/2'], ['x, y, z', '-x+3/2, -y+3/2, z'], ['x, y, z', '-x+5/2, -y+3/2, z']], [['x, y, z', 'x, -y, -z'], ['x, y, z', 'x, -y, -z'], ['x, y, z', '-x, y, -z'], ['x, y, z', '-x, y, -z'], ['x, y, z', '-x, -y, z'], ['x, y, z', '-x, -y, z'], ['x, y, z', 'x, -y+1, -z+1'], ['x, y, z', 'x, -y+1, -z+1'], ['x, y, z', '-x, y, -z+1'], ['x, y, z', '-x, y, -z+1'], ['x, y, z', '-x, -y+1, z'], ['x, y, z', '-x, -y+1, z'], ['x, y, z', 'x, -y, -z+1'], ['x, y, z', 'x, -y, -z+1'], ['x, y, z', '-x+1, y, -z+1'], ['x, y, z', '-x+1, y, -z+1'], ['x, y, z', '-x+1, -y, z'], ['x, y, z', '-x+1, -y, z'], ['x, y, z', 'x, -y+1, -z'], ['x, y, z', 'x, -y+1, -z'], ['x, y, z', '-x+1, y, -z'], ['x, y, z', '-x+1, y, -z'], ['x, y, z', '-x+1, -y+1, z'], ['x, y, z', '-x+1, -y+1, z']], [['x, y, z', 'z, x, y', 'y, z, x'], ['x, y, z', '-z, x, -y', 'y, -z, -x'], ['x, y, z', 'z, -x, -y', '-y, -z, x'], ['x, y, z', '-z, -x, y', '-y, z, -x'], ['x, y, z', 'y-1/2, z, x+1/2', 'z-1/2, x+1/2, y'], ['x, y, z', 'y-1/2, -z+1, -x+1/2', '-z+1/2, x+1/2, -y+1'], ['x, y, z', '-y+1/2, -z+1, x+1/2', 'z-1/2, -x+1/2, -y+1'], ['x, y, z', '-y+1/2, z, -x+1/2', '-z+1/2, -x+1/2, y'], ['x, y, z', 'z, x-1/2, y+1/2', 'y+1/2, z-1/2, x'], ['x, y, z', '-z+1, x-1/2, -y+1/2', 'y+1/2, -z+1/2, -x+1'], ['x, y, z', 'z, -x+1/2, -y+1/2', '-y+1/2, -z+1/2, x'], ['x, y, z', '-z+1, -x+1/2, y+1/2', '-y+1/2, z-1/2, -x+1'], ['x, y, z', 'y, z+1/2, x-1/2', 'z+1/2, x, y-1/2'], ['x, y, z', 'y, -z+1/2, -x+1/2', '-z+1/2, x, -y+1/2'], ['x, y, z', '-y+1, -z+1/2, x-1/2', 'z+1/2, -x+1, -y+1/2'], ['x, y, z', '-y+1, z+1/2, -x+1/2', '-z+1/2, -x+1, y-1/2']], [['x, y, z', 'z, x, y', 'y, z, x', 'x, -y+3/2, -z+3/2', 'z, -x+3/2, -y+3/2', 'y, -z+3/2, -x+3/2', '-x+3/2, y, -z+3/2', '-z+3/2, x, -y+3/2', '-y+3/2, z, -x+3/2', '-x+3/2, -y+3/2, z', '-z+3/2, -x+3/2, y', '-y+3/2, -z+3/2, x'], ['x, y, z', '-z+2, -x+2, y', '-y+2, z, -x+2', 'x, -y+5/2, -z+5/2', '-z+2, x+1/2, -y+5/2', '-y+2, -z+5/2, x+1/2', '-x+3/2, y, -z+5/2', 'z-1/2, -x+2, -y+5/2', 'y-1/2, z, x+1/2', '-x+3/2, -y+5/2, z', 'z-1/2, x+1/2, y', 'y-1/2, -z+5/2, -x+2'], ['x, y, z', 'z, -x+2, -y+2', '-y+2, -z+2, x', 'x, -y+3/2, -z+5/2', 'z, x-1/2, y+1/2', '-y+2, z-1/2, -x+5/2', '-x+5/2, y, -z+5/2', '-z+5/2, -x+2, y+1/2', 'y+1/2, -z+2, -x+5/2', '-x+5/2, -y+3/2, z', '-z+5/2, x-1/2, -y+2', 'y+1/2, z-1/2, x'], ['x, y, z', '-z+2, x, -y+2', 'y, -z+2, -x+2', 'x, -y+5/2, -z+3/2', '-z+2, -x+5/2, y-1/2', 'y, z+1/2, x-1/2', '-x+5/2, y, -z+3/2', 'z+1/2, x, y-1/2', '-y+5/2, -z+2, x-1/2', '-x+5/2, -y+5/2, z', 'z+1/2, -x+5/2, -y+2', '-y+5/2, z+1/2, -x+2']], [['x, y, z', 'z, x, y', 'y, z, x', 'x, -y+1/2, -z+1/2', 'z, -x+1/2, -y+1/2', 'y, -z+1/2, -x+1/2', '-x+1/2, y, -z+1/2', '-z+1/2, x, -y+1/2', '-y+1/2, z, -x+1/2', '-x+1/2, -y+1/2, z', '-z+1/2, -x+1/2, y', '-y+1/2, -z+1/2, x'], ['x, y, z', '-z+1, -x+1, y', '-y+1, z, -x+1', 'x, -y+3/2, -z+3/2', '-z+1, x+1/2, -y+3/2', '-y+1, -z+3/2, x+1/2', '-x+1/2, y, -z+3/2', 'z-1/2, -x+1, -y+3/2', 'y-1/2, z, x+1/2', '-x+1/2, -y+3/2, z', 'z-1/2, x+1/2, y', 'y-1/2, -z+3/2, -x+1'], ['x, y, z', 'z, -x+1, -y+1', '-y+1, -z+1, x', 'x, -y+1/2, -z+3/2', 'z, x-1/2, y+1/2', '-y+1, z-1/2, -x+3/2', '-x+3/2, y, -z+3/2', '-z+3/2, -x+1, y+1/2', 'y+1/2, -z+1, -x+3/2', '-x+3/2, -y+1/2, z', '-z+3/2, x-1/2, -y+1', 'y+1/2, z-1/2, x'], ['x, y, z', '-z+1, x, -y+1', 'y, -z+1, -x+1', 'x, -y+3/2, -z+1/2', '-z+1, -x+3/2, y-1/2', 'y, z+1/2, x-1/2', '-x+3/2, y, -z+1/2', 'z+1/2, x, y-1/2', '-y+3/2, -z+1, x-1/2', '-x+3/2, -y+3/2, z', 'z+1/2, -x+3/2, -y+1', '-y+3/2, z+1/2, -x+1']], [['x, y, z', '-x+1, -y+1, z', '-x+1, y, -z+1', 'x, -y+1, -z+1', 'z, x, y', 'z, -x+1, -y+1', '-z+1, -x+1, y', '-z+1, x, -y+1', 'y, z, x', '-y+1, z, -x+1', 'y, -z+1, -x+1', '-y+1, -z+1, x'], ['x, y, z', '-x+1, -y+2, z', '-x+1, y, -z+2', 'x, -y+2, -z+2', 'y-1/2, z, x+1/2', '-y+3/2, z, -x+3/2', 'y-1/2, -z+2, -x+3/2', '-y+3/2, -z+2, x+1/2', 'z-1/2, x+1/2, y', 'z-1/2, -x+3/2, -y+2', '-z+3/2, -x+3/2, y', '-z+3/2, x+1/2, -y+2'], ['x, y, z', '-x+2, -y+1, z', '-x+2, y, -z+2', 'x, -y+1, -z+2', 'z, x-1/2, y+1/2', 'z, -x+3/2, -y+3/2', '-z+2, -x+3/2, y+1/2', '-z+2, x-1/2, -y+3/2', 'y+1/2, z-1/2, x', '-y+3/2, z-1/2, -x+2', 'y+1/2, -z+3/2, -x+2', '-y+3/2, -z+3/2, x'], ['x, y, z', '-x+2, -y+2, z', '-x+2, y, -z+1', 'x, -y+2, -z+1', 'y, z+1/2, x-1/2', '-y+2, z+1/2, -x+3/2', 'y, -z+3/2, -x+3/2', '-y+2, -z+3/2, x-1/2', 'z+1/2, x, y-1/2', 'z+1/2, -x+2, -y+3/2', '-z+3/2, -x+2, y-1/2', '-z+3/2, x, -y+3/2']], [['x, y, z', '-x, -y, z', '-x, y, -z', 'x, -y, -z', 'z, x, y', 'z, -x, -y', '-z, -x, y', '-z, x, -y', 'y, z, x', '-y, z, -x', 'y, -z, -x', '-y, -z, x'], ['x, y, z', '-x, -y+1, z', '-x, y, -z+1', 'x, -y+1, -z+1', 'y-1/2, z, x+1/2', '-y+1/2, z, -x+1/2', 'y-1/2, -z+1, -x+1/2', '-y+1/2, -z+1, x+1/2', 'z-1/2, x+1/2, y', 'z-1/2, -x+1/2, -y+1', '-z+1/2, -x+1/2, y', '-z+1/2, x+1/2, -y+1'], ['x, y, z', '-x+1, -y, z', '-x+1, y, -z+1', 'x, -y, -z+1', 'z, x-1/2, y+1/2', 'z, -x+1/2, -y+1/2', '-z+1, -x+1/2, y+1/2', '-z+1, x-1/2, -y+1/2', 'y+1/2, z-1/2, x', '-y+1/2, z-1/2, -x+1', 'y+1/2, -z+1/2, -x+1', '-y+1/2, -z+1/2, x'], ['x, y, z', '-x+1, -y+1, z', '-x+1, y, -z', 'x, -y+1, -z', 'y, z+1/2, x-1/2', '-y+1, z+1/2, -x+1/2', 'y, -z+1/2, -x+1/2', '-y+1, -z+1/2, x-1/2', 'z+1/2, x, y-1/2', 'z+1/2, -x+1, -y+1/2', '-z+1/2, -x+1, y-1/2', '-z+1/2, x, -y+1/2']]]\"\n197,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', 'x, -y+1, -z'], ['x, y, z', 'x, -y+1, -z'], ['x, y, z', '-x, y, -z+1'], ['x, y, z', '-x, y, -z+1'], ['x, y, z', '-x+1, -y, z'], ['x, y, z', '-x+1, -y, z'], ['x, y, z', 'x, -y+2, -z+1'], ['x, y, z', 'x, -y+2, -z+1'], ['x, y, z', '-x+1, y, -z+2'], ['x, y, z', '-x+1, y, -z+2'], ['x, y, z', '-x+2, -y+1, z'], ['x, y, z', '-x+2, -y+1, z']], [['x, y, z', 'x, -y, -z'], ['x, y, z', 'x, -y, -z'], ['x, y, z', '-x, y, -z'], ['x, y, z', '-x, y, -z'], ['x, y, z', '-x, -y, z'], ['x, y, z', '-x, -y, z'], ['x, y, z', 'x, -y+1, -z+1'], ['x, y, z', 'x, -y+1, -z+1'], ['x, y, z', '-x+1, y, -z+1'], ['x, y, z', '-x+1, y, -z+1'], ['x, y, z', '-x+1, -y+1, z'], ['x, y, z', '-x+1, -y+1, z']], [['x, y, z', 'z, x, y', 'y, z, x'], ['x, y, z', '-z, x, -y', 'y, -z, -x'], ['x, y, z', 'z, -x, -y', '-y, -z, x'], ['x, y, z', '-z, -x, y', '-y, z, -x'], ['x, y, z', 'z, x, y', 'y, z, x'], ['x, y, z', '-z+1, x, -y+1', 'y, -z+1, -x+1'], ['x, y, z', 'z, -x+1, -y+1', '-y+1, -z+1, x'], ['x, y, z', '-z+1, -x+1, y', '-y+1, z, -x+1']], [['x, y, z', '-x, -y+1, z', '-x, y, -z+1', 'x, -y+1, -z+1'], ['x, y, z', '-x+1, -y, z', '-x+1, y, -z+1', 'x, -y, -z+1'], ['x, y, z', '-x+1, -y+1, z', '-x+1, y, -z', 'x, -y+1, -z'], ['x, y, z', '-x+1, -y+2, z', '-x+1, y, -z+2', 'x, -y+2, -z+2'], ['x, y, z', '-x+2, -y+1, z', '-x+2, y, -z+2', 'x, -y+1, -z+2'], ['x, y, z', '-x+2, -y+2, z', '-x+2, y, -z+1', 'x, -y+2, -z+1']], [['x, y, z', '-x, -y, z', '-x, y, -z', 'x, -y, -z', 'z, x, y', 'z, -x, -y', '-z, -x, y', '-z, x, -y', 'y, z, x', '-y, z, -x', 'y, -z, -x', '-y, -z, x'], ['x, y, z', '-x+1, -y+1, z', '-x+1, y, -z+1', 'x, -y+1, -z+1', 'z, x, y', 'z, -x+1, -y+1', '-z+1, -x+1, y', '-z+1, x, -y+1', 'y, z, x', '-y+1, z, -x+1', 'y, -z+1, -x+1', '-y+1, -z+1, x']]]\"\n198,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', 'z, x, y', 'y, z, x'], ['x, y, z', '-z+1, x-1/2, -y+1/2', 'y+1/2, -z+1/2, -x+1'], ['x, y, z', 'z-1/2, -x+1/2, -y+1', '-y+1/2, -z+1, x+1/2'], ['x, y, z', '-z+1/2, -x+1, y-1/2', '-y+1, z+1/2, -x+1/2']]]\"\n199,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', 'x, -y, -z+1/2'], ['x, y, z', 'x, -y, -z+3/2'], ['x, y, z', '-x+1/2, y, -z'], ['x, y, z', '-x+3/2, y, -z'], ['x, y, z', '-x, -y+1/2, z'], ['x, y, z', '-x, -y+3/2, z'], ['x, y, z', 'x, -y+1, -z+3/2'], ['x, y, z', 'x, -y+1, -z+5/2'], ['x, y, z', '-x+3/2, y, -z+1'], ['x, y, z', '-x+5/2, y, -z+1'], ['x, y, z', '-x+1, -y+3/2, z'], ['x, y, z', '-x+1, -y+5/2, z']], [['x, y, z', 'z, x, y', 'y, z, x'], ['x, y, z', '-z+1, x-1/2, -y+1/2', 'y+1/2, -z+1/2, -x+1'], ['x, y, z', 'z-1/2, -x+1/2, -y+1', '-y+1/2, -z+1, x+1/2'], ['x, y, z', '-z+1/2, -x+1, y-1/2', '-y+1, z+1/2, -x+1/2'], ['x, y, z', 'z, x, y', 'y, z, x'], ['x, y, z', '-z+2, x-1/2, -y+3/2', 'y+1/2, -z+3/2, -x+2'], ['x, y, z', 'z-1/2, -x+3/2, -y+2', '-y+3/2, -z+2, x+1/2'], ['x, y, z', '-z+3/2, -x+2, y-1/2', '-y+2, z+1/2, -x+3/2']]]\"\n200,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-x+1, y, z'], ['x, y, z', '-x+1, y, z'], ['x, y, z', '-x+1, y, z'], ['x, y, z', '-x+1, y, z'], ['x, y, z', 'x, -y+1, z'], ['x, y, z', 'x, -y+1, z'], ['x, y, z', 'x, -y+1, z'], ['x, y, z', 'x, -y+1, z'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1']], [['x, y, z', '-x, y, z'], ['x, y, z', '-x, y, z'], ['x, y, z', '-x, y, z'], ['x, y, z', '-x, y, z'], ['x, y, z', 'x, -y, z'], ['x, y, z', 'x, -y, z'], ['x, y, z', 'x, -y, z'], ['x, y, z', 'x, -y, z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z']], [['x, y, z', 'z, x, y', 'y, z, x'], ['x, y, z', '-z, x, -y', 'y, -z, -x'], ['x, y, z', 'z, -x, -y', '-y, -z, x'], ['x, y, z', '-z, -x, y', '-y, z, -x'], ['x, y, z', 'z, x, y', 'y, z, x'], ['x, y, z', '-z, x, -y', 'y, -z, -x'], ['x, y, z', 'z, -x, -y', '-y, -z, x'], ['x, y, z', '-z, -x, y', '-y, z, -x']], [['x, y, z', 'x, -y+1, -z+1', 'x, y, -z+1', 'x, -y+1, z'], ['x, y, z', 'x, -y+1, -z+1', 'x, y, -z+1', 'x, -y+1, z'], ['x, y, z', '-x+1, y, -z+1', 'x, y, -z+1', '-x+1, y, z'], ['x, y, z', '-x+1, y, -z+1', 'x, y, -z+1', '-x+1, y, z'], ['x, y, z', '-x+1, -y+1, z', 'x, -y+1, z', '-x+1, y, z'], ['x, y, z', '-x+1, -y+1, z', 'x, -y+1, z', '-x+1, y, z']], [['x, y, z', 'x, -y+1, -z', 'x, y, -z', 'x, -y+1, z'], ['x, y, z', 'x, -y+1, -z', 'x, y, -z', 'x, -y+1, z'], ['x, y, z', '-x, y, -z+1', 'x, y, -z+1', '-x, y, z'], ['x, y, z', '-x, y, -z+1', 'x, y, -z+1', '-x, y, z'], ['x, y, z', '-x+1, -y, z', 'x, -y, z', '-x+1, y, z'], ['x, y, z', '-x+1, -y, z', 'x, -y, z', '-x+1, y, z']], [['x, y, z', 'x, -y, -z+1', 'x, y, -z+1', 'x, -y, z'], ['x, y, z', 'x, -y, -z+1', 'x, y, -z+1', 'x, -y, z'], ['x, y, z', '-x+1, y, -z', 'x, y, -z', '-x+1, y, z'], ['x, y, z', '-x+1, y, -z', 'x, y, -z', '-x+1, y, z'], ['x, y, z', '-x, -y+1, z', 'x, -y+1, z', '-x, y, z'], ['x, y, z', '-x, -y+1, z', 'x, -y+1, z', '-x, y, z']], [['x, y, z', 'x, -y, -z', 'x, y, -z', 'x, -y, z'], ['x, y, z', 'x, -y, -z', 'x, y, -z', 'x, -y, z'], ['x, y, z', '-x, y, -z', 'x, y, -z', '-x, y, z'], ['x, y, z', '-x, y, -z', 'x, y, -z', '-x, y, z'], ['x, y, z', '-x, -y, z', 'x, -y, z', '-x, y, z'], ['x, y, z', '-x, -y, z', 'x, -y, z', '-x, y, z']], [['x, y, z', '-x+1, -y, z', '-x+1, y, -z', 'x, -y, -z', '-x+1, -y, -z', 'x, y, -z', 'x, -y, z', '-x+1, y, z'], ['x, y, z', '-x, -y+1, z', '-x, y, -z', 'x, -y+1, -z', '-x, -y+1, -z', 'x, y, -z', 'x, -y+1, z', '-x, y, z'], ['x, y, z', '-x, -y, z', '-x, y, -z+1', 'x, -y, -z+1', '-x, -y, -z+1', 'x, y, -z+1', 'x, -y, z', '-x, y, z']], [['x, y, z', '-x, -y+1, z', '-x, y, -z+1', 'x, -y+1, -z+1', '-x, -y+1, -z+1', 'x, y, -z+1', 'x, -y+1, z', '-x, y, z'], ['x, y, z', '-x+1, -y, z', '-x+1, y, -z+1', 'x, -y, -z+1', '-x+1, -y, -z+1', 'x, y, -z+1', 'x, -y, z', '-x+1, y, z'], ['x, y, z', '-x+1, -y+1, z', '-x+1, y, -z', 'x, -y+1, -z', '-x+1, -y+1, -z', 'x, y, -z', 'x, -y+1, z', '-x+1, y, z']], [['x, y, z', '-x+1, -y+1, z', '-x+1, y, -z+1', 'x, -y+1, -z+1', 'z, x, y', 'z, -x+1, -y+1', '-z+1, -x+1, y', '-z+1, x, -y+1', 'y, z, x', '-y+1, z, -x+1', 'y, -z+1, -x+1', '-y+1, -z+1, x', '-x+1, -y+1, -z+1', 'x, y, -z+1', 'x, -y+1, z', '-x+1, y, z', '-z+1, -x+1, -y+1', '-z+1, x, y', 'z, x, -y+1', 'z, -x+1, y', '-y+1, -z+1, -x+1', 'y, -z+1, x', '-y+1, z, x', 'y, z, -x+1']], [['x, y, z', '-x, -y, z', '-x, y, -z', 'x, -y, -z', 'z, x, y', 'z, -x, -y', '-z, -x, y', '-z, x, -y', 'y, z, x', '-y, z, -x', 'y, -z, -x', '-y, -z, x', '-x, -y, -z', 'x, y, -z', 'x, -y, z', '-x, y, z', '-z, -x, -y', '-z, x, y', 'z, x, -y', 'z, -x, y', '-y, -z, -x', 'y, -z, x', '-y, z, x', 'y, z, -x']]]\"\n201,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', 'x, -y+3/2, -z+1/2'], ['x, y, z', 'x, -y+3/2, -z+1/2'], ['x, y, z', '-x+1/2, y, -z+3/2'], ['x, y, z', '-x+1/2, y, -z+3/2'], ['x, y, z', '-x+3/2, -y+1/2, z'], ['x, y, z', '-x+3/2, -y+1/2, z'], ['x, y, z', 'x, -y+1/2, -z+3/2'], ['x, y, z', 'x, -y+1/2, -z+3/2'], ['x, y, z', '-x+3/2, y, -z+1/2'], ['x, y, z', '-x+3/2, y, -z+1/2'], ['x, y, z', '-x+1/2, -y+3/2, z'], ['x, y, z', '-x+1/2, -y+3/2, z']], [['x, y, z', 'x, -y+1/2, -z+1/2'], ['x, y, z', 'x, -y+1/2, -z+1/2'], ['x, y, z', '-x+1/2, y, -z+1/2'], ['x, y, z', '-x+1/2, y, -z+1/2'], ['x, y, z', '-x+1/2, -y+1/2, z'], ['x, y, z', '-x+1/2, -y+1/2, z'], ['x, y, z', 'x, -y+3/2, -z+3/2'], ['x, y, z', 'x, -y+3/2, -z+3/2'], ['x, y, z', '-x+3/2, y, -z+3/2'], ['x, y, z', '-x+3/2, y, -z+3/2'], ['x, y, z', '-x+3/2, -y+3/2, z'], ['x, y, z', '-x+3/2, -y+3/2, z']], [['x, y, z', 'z, x, y', 'y, z, x'], ['x, y, z', '-z+1/2, x, -y+1/2', 'y, -z+1/2, -x+1/2'], ['x, y, z', 'z, -x+1/2, -y+1/2', '-y+1/2, -z+1/2, x'], ['x, y, z', '-z+1/2, -x+1/2, y', '-y+1/2, z, -x+1/2'], ['x, y, z', 'z, x, y', 'y, z, x'], ['x, y, z', '-z+1/2, x, -y+1/2', 'y, -z+1/2, -x+1/2'], ['x, y, z', 'z, -x+1/2, -y+1/2', '-y+1/2, -z+1/2, x'], ['x, y, z', '-z+1/2, -x+1/2, y', '-y+1/2, z, -x+1/2']], [['x, y, z', '-x+1/2, -y+3/2, z', '-x+1/2, y, -z+3/2', 'x, -y+3/2, -z+3/2'], ['x, y, z', '-x+3/2, -y+1/2, z', '-x+3/2, y, -z+3/2', 'x, -y+1/2, -z+3/2'], ['x, y, z', '-x+3/2, -y+3/2, z', '-x+3/2, y, -z+1/2', 'x, -y+3/2, -z+1/2'], ['x, y, z', '-x+3/2, -y+1/2, z', '-x+3/2, y, -z+1/2', 'x, -y+1/2, -z+1/2'], ['x, y, z', '-x+1/2, -y+3/2, z', '-x+1/2, y, -z+1/2', 'x, -y+3/2, -z+1/2'], ['x, y, z', '-x+1/2, -y+1/2, z', '-x+1/2, y, -z+3/2', 'x, -y+1/2, -z+3/2']], [['x, y, z', 'z, x, y', 'y, z, x', '-x+1, -y+1, -z+1', '-z+1, -x+1, -y+1', '-y+1, -z+1, -x+1'], ['x, y, z', '-z+1/2, x, -y+1/2', 'y, -z+1/2, -x+1/2', '-x, -y, -z+1', 'z-1/2, -x, y+1/2', '-y, z-1/2, x+1/2'], ['x, y, z', 'z, -x+1/2, -y+1/2', '-y+1/2, -z+1/2, x', '-x, -y+1, -z', '-z, x+1/2, y-1/2', 'y-1/2, z+1/2, -x'], ['x, y, z', '-z+1/2, -x+1/2, y', '-y+1/2, z, -x+1/2', '-x+1, -y, -z', 'z+1/2, x-1/2, -y', 'y+1/2, -z, x-1/2']], [['x, y, z', 'z, x, y', 'y, z, x', '-x, -y, -z', '-z, -x, -y', '-y, -z, -x'], ['x, y, z', '-z+1/2, x, -y+1/2', 'y, -z+1/2, -x+1/2', '-x+1, -y+1, -z', 'z+1/2, -x+1, y-1/2', '-y+1, z+1/2, x-1/2'], ['x, y, z', 'z, -x+1/2, -y+1/2', '-y+1/2, -z+1/2, x', '-x+1, -y, -z+1', '-z+1, x-1/2, y+1/2', 'y+1/2, z-1/2, -x+1'], ['x, y, z', '-z+1/2, -x+1/2, y', '-y+1/2, z, -x+1/2', '-x, -y+1, -z+1', 'z-1/2, x+1/2, -y+1', 'y-1/2, -z+1, x+1/2']], [['x, y, z', '-x+1/2, -y+1/2, z', '-x+1/2, y, -z+1/2', 'x, -y+1/2, -z+1/2', 'z, x, y', 'z, -x+1/2, -y+1/2', '-z+1/2, -x+1/2, y', '-z+1/2, x, -y+1/2', 'y, z, x', '-y+1/2, z, -x+1/2', 'y, -z+1/2, -x+1/2', '-y+1/2, -z+1/2, x'], ['x, y, z', '-x+3/2, -y+3/2, z', '-x+3/2, y, -z+3/2', 'x, -y+3/2, -z+3/2', 'z, x, y', 'z, -x+3/2, -y+3/2', '-z+3/2, -x+3/2, y', '-z+3/2, x, -y+3/2', 'y, z, x', '-y+3/2, z, -x+3/2', 'y, -z+3/2, -x+3/2', '-y+3/2, -z+3/2, x']]]\"\n202,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-x, y, z'], ['x, y, z', '-x, y, z'], ['x, y, z', '-x, y, z'], ['x, y, z', '-x, y, z'], ['x, y, z', 'x, -y, z'], ['x, y, z', 'x, -y, z'], ['x, y, z', 'x, -y, z'], ['x, y, z', 'x, -y, z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', '-x, y, z'], ['x, y, z', '-x, y, z'], ['x, y, z', '-x, y, z'], ['x, y, z', '-x, y, z'], ['x, y, z', 'x, -y+1, z'], ['x, y, z', 'x, -y+1, z'], ['x, y, z', 'x, -y+1, z'], ['x, y, z', 'x, -y+1, z'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', '-x+1, y, z'], ['x, y, z', '-x+1, y, z'], ['x, y, z', '-x+1, y, z'], ['x, y, z', '-x+1, y, z'], ['x, y, z', 'x, -y, z'], ['x, y, z', 'x, -y, z'], ['x, y, z', 'x, -y, z'], ['x, y, z', 'x, -y, z'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, 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['x, y, z', 'x, -y+3/2, -z+5/2'], ['x, y, z', '-x+3/2, y, -z+5/2'], ['x, y, z', '-x+3/2, y, -z+3/2'], ['x, y, z', '-x+3/2, -y+5/2, z'], ['x, y, z', '-x+1/2, -y+5/2, z'], ['x, y, z', 'x, -y+1/2, -z+3/2'], ['x, y, z', 'x, -y+3/2, -z+3/2'], ['x, y, z', '-x+3/2, y, -z+3/2'], ['x, y, z', '-x+3/2, y, -z+5/2'], ['x, y, z', '-x+3/2, -y+1/2, z'], ['x, y, z', '-x+5/2, -y+1/2, z'], ['x, y, z', 'x, -y+3/2, -z+5/2'], ['x, y, z', 'x, -y+1/2, -z+5/2'], ['x, y, z', '-x+5/2, y, -z+5/2'], ['x, y, z', '-x+5/2, y, -z+3/2'], ['x, y, z', '-x+5/2, -y+3/2, z'], ['x, y, z', '-x+3/2, -y+3/2, z'], ['x, y, z', 'x, -y+3/2, -z+1/2'], ['x, y, z', 'x, -y+5/2, -z+1/2'], ['x, y, z', '-x+3/2, y, -z+1/2'], ['x, y, z', '-x+3/2, y, -z+3/2'], ['x, y, z', '-x+3/2, -y+3/2, z'], ['x, y, z', '-x+5/2, -y+3/2, z'], ['x, y, z', 'x, -y+5/2, -z+3/2'], ['x, y, z', 'x, -y+3/2, -z+3/2'], ['x, y, z', '-x+5/2, y, -z+3/2'], ['x, y, z', '-x+5/2, y, -z+1/2'], ['x, y, z', '-x+5/2, -y+5/2, z'], ['x, y, z', '-x+3/2, -y+5/2, z']], [['x, y, z', 'z, x, y', 'y, z, x'], ['x, y, z', '-z, x, -y', 'y, -z, -x'], ['x, y, z', 'z, -x, -y', '-y, -z, x'], ['x, y, z', '-z, -x, y', '-y, z, -x'], ['x, y, z', 'z, x, y', 'y, z, x'], ['x, y, z', '-z, x, -y', 'y, -z, -x'], ['x, y, z', 'z, -x, -y', '-y, -z, x'], ['x, y, z', '-z, -x, y', '-y, z, -x'], ['x, y, z', 'y-1/2, z, x+1/2', 'z-1/2, x+1/2, y'], ['x, y, z', 'y-1/2, -z+1, -x+1/2', '-z+1/2, x+1/2, -y+1'], ['x, y, z', '-y+1/2, -z+1, x+1/2', 'z-1/2, -x+1/2, -y+1'], ['x, y, z', '-y+1/2, z, -x+1/2', '-z+1/2, -x+1/2, y'], ['x, y, z', 'y-1/2, z, x+1/2', 'z-1/2, x+1/2, y'], ['x, y, z', 'y-1/2, -z+1, -x+1/2', '-z+1/2, x+1/2, -y+1'], ['x, y, z', '-y+1/2, -z+1, x+1/2', 'z-1/2, -x+1/2, -y+1'], ['x, y, z', '-y+1/2, z, -x+1/2', '-z+1/2, -x+1/2, y'], ['x, y, z', 'z, x-1/2, y+1/2', 'y+1/2, z-1/2, x'], ['x, y, z', '-z+1, x-1/2, -y+1/2', 'y+1/2, -z+1/2, -x+1'], ['x, y, z', 'z, -x+1/2, -y+1/2', '-y+1/2, -z+1/2, x'], ['x, y, z', '-z+1, -x+1/2, y+1/2', '-y+1/2, z-1/2, -x+1'], ['x, y, z', 'z, x-1/2, y+1/2', 'y+1/2, z-1/2, x'], ['x, y, z', '-z+1, x-1/2, -y+1/2', 'y+1/2, -z+1/2, -x+1'], ['x, y, z', 'z, -x+1/2, -y+1/2', '-y+1/2, -z+1/2, x'], ['x, y, z', '-z+1, -x+1/2, y+1/2', '-y+1/2, z-1/2, -x+1'], ['x, y, z', 'y, z+1/2, x-1/2', 'z+1/2, x, y-1/2'], ['x, y, z', 'y, -z+1/2, -x+1/2', '-z+1/2, x, -y+1/2'], ['x, y, z', '-y+1, -z+1/2, x-1/2', 'z+1/2, -x+1, -y+1/2'], ['x, y, z', '-y+1, z+1/2, -x+1/2', '-z+1/2, -x+1, y-1/2'], ['x, y, z', 'y, z+1/2, x-1/2', 'z+1/2, x, y-1/2'], ['x, y, z', 'y, -z+1/2, -x+1/2', '-z+1/2, x, -y+1/2'], ['x, y, z', '-y+1, -z+1/2, x-1/2', 'z+1/2, -x+1, -y+1/2'], ['x, y, z', '-y+1, z+1/2, -x+1/2', '-z+1/2, -x+1, y-1/2']], [['x, y, z', 'x, -y, -z', 'x, y, -z', 'x, -y, z'], ['x, y, z', 'x, -y, -z', 'x, y, -z', 'x, -y, z'], ['x, y, z', '-x, y, -z', 'x, y, -z', '-x, y, z'], ['x, y, z', '-x, y, -z', 'x, y, -z', '-x, y, z'], ['x, y, z', '-x, -y, z', 'x, -y, z', '-x, y, z'], ['x, y, z', '-x, -y, z', 'x, -y, z', '-x, y, z'], ['x, y, z', 'x, -y+1, -z+1', 'x, y, -z+1', 'x, -y+1, z'], ['x, y, z', 'x, -y+1, -z+1', 'x, y, -z+1', 'x, -y+1, z'], ['x, y, z', '-x, y, -z+1', 'x, y, -z+1', '-x, y, z'], ['x, y, z', '-x, y, -z+1', 'x, y, -z+1', '-x, y, z'], ['x, y, z', '-x, -y+1, z', 'x, -y+1, z', '-x, y, z'], ['x, y, z', '-x, -y+1, z', 'x, -y+1, z', '-x, y, z'], ['x, y, z', 'x, -y, -z+1', 'x, y, -z+1', 'x, -y, z'], ['x, y, z', 'x, -y, -z+1', 'x, y, -z+1', 'x, -y, z'], ['x, y, z', '-x+1, y, -z+1', 'x, y, -z+1', '-x+1, y, z'], ['x, y, z', '-x+1, y, -z+1', 'x, y, -z+1', '-x+1, y, z'], ['x, y, z', '-x+1, -y, z', 'x, -y, z', '-x+1, y, z'], ['x, y, z', '-x+1, -y, z', 'x, -y, z', '-x+1, y, z'], ['x, y, z', 'x, -y+1, -z', 'x, y, -z', 'x, -y+1, z'], ['x, y, z', 'x, -y+1, -z', 'x, y, -z', 'x, -y+1, z'], ['x, y, z', '-x+1, y, -z', 'x, y, -z', '-x+1, y, z'], ['x, y, z', '-x+1, y, -z', 'x, y, -z', '-x+1, y, z'], ['x, y, z', '-x+1, -y+1, z', 'x, -y+1, z', '-x+1, y, z'], ['x, y, z', '-x+1, -y+1, z', 'x, -y+1, z', '-x+1, y, z']], [['x, y, z', '-x, y, z', 'x, -y+1/2, -z+1/2', '-x, -y+1/2, -z+1/2'], ['x, y, z', '-x, y, z', 'x, -y+3/2, -z+1/2', '-x, -y+3/2, -z+1/2'], ['x, y, z', 'x, -y, z', '-x+1/2, y, -z+1/2', '-x+1/2, -y, -z+1/2'], ['x, y, z', 'x, -y, z', '-x+1/2, y, -z+3/2', '-x+1/2, -y, -z+3/2'], ['x, y, z', 'x, y, -z', '-x+1/2, -y+1/2, z', '-x+1/2, -y+1/2, -z'], ['x, y, z', 'x, y, -z', '-x+3/2, -y+1/2, z', '-x+3/2, -y+1/2, -z'], ['x, y, z', '-x, y, z', 'x, -y+3/2, -z+3/2', '-x, -y+3/2, -z+3/2'], ['x, y, z', '-x, y, z', 'x, -y+5/2, -z+3/2', '-x, -y+5/2, -z+3/2'], ['x, y, z', 'x, -y+1, z', '-x+1/2, y, -z+3/2', '-x+1/2, -y+1, -z+3/2'], ['x, y, z', 'x, -y+1, z', '-x+1/2, y, -z+5/2', '-x+1/2, -y+1, -z+5/2'], ['x, y, z', 'x, y, -z+1', '-x+1/2, -y+3/2, z', '-x+1/2, -y+3/2, -z+1'], ['x, y, z', 'x, y, -z+1', '-x+3/2, -y+3/2, z', '-x+3/2, -y+3/2, -z+1'], ['x, y, z', '-x+1, y, z', 'x, -y+1/2, -z+3/2', '-x+1, -y+1/2, -z+3/2'], ['x, y, z', '-x+1, y, z', 'x, -y+3/2, -z+3/2', '-x+1, -y+3/2, -z+3/2'], ['x, y, z', 'x, -y, z', '-x+3/2, y, -z+3/2', '-x+3/2, -y, -z+3/2'], ['x, y, z', 'x, -y, z', '-x+3/2, y, -z+5/2', '-x+3/2, -y, -z+5/2'], ['x, y, z', 'x, y, -z+1', '-x+3/2, -y+1/2, z', '-x+3/2, -y+1/2, -z+1'], ['x, y, z', 'x, y, -z+1', '-x+5/2, -y+1/2, z', '-x+5/2, -y+1/2, -z+1'], ['x, y, z', '-x+1, y, z', 'x, -y+3/2, -z+1/2', '-x+1, -y+3/2, -z+1/2'], ['x, y, z', '-x+1, y, z', 'x, -y+5/2, -z+1/2', '-x+1, -y+5/2, -z+1/2'], ['x, y, z', 'x, -y+1, z', '-x+3/2, y, -z+1/2', '-x+3/2, -y+1, -z+1/2'], ['x, y, z', 'x, -y+1, z', '-x+3/2, y, -z+3/2', '-x+3/2, -y+1, -z+3/2'], ['x, y, z', 'x, y, -z', '-x+3/2, -y+3/2, z', '-x+3/2, -y+3/2, -z'], ['x, y, z', 'x, y, -z', '-x+5/2, -y+3/2, z', '-x+5/2, -y+3/2, -z']], [['x, y, z', 'z, x, y', 'y, z, x', 'x, -y+1/2, -z+1/2', 'z, -x+1/2, -y+1/2', 'y, -z+1/2, -x+1/2', '-x+1/2, y, -z+1/2', '-z+1/2, x, -y+1/2', '-y+1/2, z, -x+1/2', '-x+1/2, -y+1/2, z', '-z+1/2, -x+1/2, y', '-y+1/2, -z+1/2, x'], ['x, y, z', 'z, x, y', 'y, z, x', 'x, -y+3/2, -z+3/2', 'z, -x+3/2, -y+3/2', 'y, -z+3/2, -x+3/2', '-x+3/2, y, -z+3/2', '-z+3/2, x, -y+3/2', '-y+3/2, z, -x+3/2', '-x+3/2, -y+3/2, z', '-z+3/2, -x+3/2, y', '-y+3/2, -z+3/2, x'], ['x, y, z', '-z+1, -x+1, y', '-y+1, z, -x+1', 'x, -y+3/2, -z+3/2', '-z+1, x+1/2, -y+3/2', '-y+1, -z+3/2, x+1/2', '-x+1/2, y, -z+3/2', 'z-1/2, -x+1, -y+3/2', 'y-1/2, z, x+1/2', '-x+1/2, -y+3/2, z', 'z-1/2, x+1/2, y', 'y-1/2, -z+3/2, -x+1'], ['x, y, z', '-z+2, -x+2, y', '-y+2, z, -x+2', 'x, -y+5/2, -z+5/2', '-z+2, x+1/2, -y+5/2', '-y+2, -z+5/2, x+1/2', '-x+3/2, y, -z+5/2', 'z-1/2, -x+2, -y+5/2', 'y-1/2, z, x+1/2', '-x+3/2, -y+5/2, z', 'z-1/2, x+1/2, y', 'y-1/2, -z+5/2, -x+2'], ['x, y, z', 'z, -x+1, -y+1', '-y+1, -z+1, x', 'x, -y+1/2, -z+3/2', 'z, x-1/2, y+1/2', '-y+1, z-1/2, -x+3/2', '-x+3/2, y, -z+3/2', '-z+3/2, -x+1, y+1/2', 'y+1/2, -z+1, -x+3/2', '-x+3/2, -y+1/2, z', '-z+3/2, x-1/2, -y+1', 'y+1/2, z-1/2, x'], ['x, y, z', 'z, -x+2, -y+2', '-y+2, -z+2, x', 'x, -y+3/2, -z+5/2', 'z, x-1/2, y+1/2', '-y+2, z-1/2, -x+5/2', '-x+5/2, y, -z+5/2', '-z+5/2, -x+2, y+1/2', 'y+1/2, -z+2, -x+5/2', '-x+5/2, -y+3/2, z', '-z+5/2, x-1/2, -y+2', 'y+1/2, z-1/2, x'], ['x, y, z', '-z+1, x, -y+1', 'y, -z+1, -x+1', 'x, -y+3/2, -z+1/2', '-z+1, -x+3/2, y-1/2', 'y, z+1/2, x-1/2', '-x+3/2, y, -z+1/2', 'z+1/2, x, y-1/2', '-y+3/2, -z+1, x-1/2', '-x+3/2, -y+3/2, z', 'z+1/2, -x+3/2, -y+1', '-y+3/2, z+1/2, -x+1'], ['x, y, z', '-z+2, x, -y+2', 'y, -z+2, -x+2', 'x, -y+5/2, -z+3/2', '-z+2, -x+5/2, y-1/2', 'y, z+1/2, x-1/2', '-x+5/2, y, -z+3/2', 'z+1/2, x, y-1/2', '-y+5/2, -z+2, x-1/2', '-x+5/2, -y+5/2, z', 'z+1/2, -x+5/2, -y+2', '-y+5/2, z+1/2, -x+2']], [['x, y, z', '-x+1, -y+1, z', '-x+1, y, -z+1', 'x, -y+1, -z+1', 'z, x, y', 'z, -x+1, -y+1', '-z+1, -x+1, y', '-z+1, x, -y+1', 'y, z, x', '-y+1, z, -x+1', 'y, -z+1, -x+1', '-y+1, -z+1, x', '-x+1, -y+1, -z+1', 'x, y, -z+1', 'x, -y+1, z', '-x+1, y, z', '-z+1, -x+1, -y+1', '-z+1, x, y', 'z, x, -y+1', 'z, -x+1, y', '-y+1, -z+1, -x+1', 'y, -z+1, x', '-y+1, z, x', 'y, z, -x+1'], ['x, y, z', '-x+1, -y+2, z', '-x+1, y, -z+2', 'x, -y+2, -z+2', '-x+1, -y+2, -z+2', 'x, y, -z+2', 'x, -y+2, z', '-x+1, y, z', 'y-1/2, z, x+1/2', '-y+3/2, z, -x+3/2', 'y-1/2, -z+2, -x+3/2', '-y+3/2, -z+2, x+1/2', '-y+3/2, -z+2, -x+3/2', 'y-1/2, -z+2, x+1/2', '-y+3/2, z, x+1/2', 'y-1/2, z, -x+3/2', 'z-1/2, x+1/2, y', 'z-1/2, -x+3/2, -y+2', '-z+3/2, -x+3/2, y', '-z+3/2, x+1/2, -y+2', '-z+3/2, -x+3/2, -y+2', '-z+3/2, x+1/2, y', 'z-1/2, x+1/2, -y+2', 'z-1/2, -x+3/2, y'], ['x, y, z', '-x+2, -y+1, z', '-x+2, y, -z+2', 'x, -y+1, -z+2', '-x+2, -y+1, -z+2', 'x, y, -z+2', 'x, -y+1, z', '-x+2, y, z', 'z, x-1/2, y+1/2', 'z, -x+3/2, -y+3/2', '-z+2, -x+3/2, y+1/2', '-z+2, x-1/2, -y+3/2', '-z+2, -x+3/2, -y+3/2', '-z+2, x-1/2, y+1/2', 'z, x-1/2, -y+3/2', 'z, -x+3/2, y+1/2', 'y+1/2, z-1/2, x', '-y+3/2, z-1/2, -x+2', 'y+1/2, -z+3/2, -x+2', '-y+3/2, -z+3/2, x', '-y+3/2, -z+3/2, -x+2', 'y+1/2, -z+3/2, x', '-y+3/2, z-1/2, x', 'y+1/2, z-1/2, -x+2'], ['x, y, z', '-x+2, -y+2, z', '-x+2, y, -z+1', 'x, -y+2, -z+1', '-x+2, -y+2, -z+1', 'x, y, -z+1', 'x, -y+2, z', '-x+2, y, z', 'y, z+1/2, x-1/2', '-y+2, z+1/2, -x+3/2', 'y, -z+3/2, -x+3/2', '-y+2, -z+3/2, x-1/2', '-y+2, -z+3/2, -x+3/2', 'y, -z+3/2, x-1/2', '-y+2, z+1/2, x-1/2', 'y, z+1/2, -x+3/2', 'z+1/2, x, y-1/2', 'z+1/2, -x+2, -y+3/2', '-z+3/2, -x+2, y-1/2', '-z+3/2, x, -y+3/2', '-z+3/2, -x+2, -y+3/2', '-z+3/2, x, y-1/2', 'z+1/2, x, -y+3/2', 'z+1/2, -x+2, y-1/2']], [['x, y, z', '-x, -y, z', '-x, y, -z', 'x, -y, -z', 'z, x, y', 'z, -x, -y', '-z, -x, y', '-z, x, -y', 'y, z, x', '-y, z, -x', 'y, -z, -x', '-y, -z, x', '-x, -y, -z', 'x, y, -z', 'x, -y, z', '-x, y, z', '-z, -x, -y', '-z, x, y', 'z, x, -y', 'z, -x, y', '-y, -z, -x', 'y, -z, x', '-y, z, x', 'y, z, -x'], ['x, y, z', '-x, -y+1, z', '-x, y, -z+1', 'x, -y+1, -z+1', '-x, -y+1, -z+1', 'x, y, -z+1', 'x, -y+1, z', '-x, y, z', 'y-1/2, z, x+1/2', '-y+1/2, z, -x+1/2', 'y-1/2, -z+1, -x+1/2', '-y+1/2, -z+1, x+1/2', '-y+1/2, -z+1, -x+1/2', 'y-1/2, -z+1, x+1/2', '-y+1/2, z, x+1/2', 'y-1/2, z, -x+1/2', 'z-1/2, x+1/2, y', 'z-1/2, -x+1/2, -y+1', '-z+1/2, -x+1/2, y', '-z+1/2, x+1/2, -y+1', '-z+1/2, -x+1/2, -y+1', '-z+1/2, x+1/2, y', 'z-1/2, x+1/2, -y+1', 'z-1/2, -x+1/2, y'], ['x, y, z', '-x+1, -y, z', '-x+1, y, -z+1', 'x, -y, -z+1', '-x+1, -y, -z+1', 'x, y, -z+1', 'x, -y, z', '-x+1, y, z', 'z, x-1/2, y+1/2', 'z, -x+1/2, -y+1/2', '-z+1, -x+1/2, y+1/2', '-z+1, x-1/2, -y+1/2', '-z+1, -x+1/2, -y+1/2', '-z+1, x-1/2, y+1/2', 'z, x-1/2, -y+1/2', 'z, -x+1/2, y+1/2', 'y+1/2, z-1/2, x', '-y+1/2, z-1/2, -x+1', 'y+1/2, -z+1/2, -x+1', '-y+1/2, -z+1/2, x', '-y+1/2, -z+1/2, -x+1', 'y+1/2, -z+1/2, x', '-y+1/2, z-1/2, x', 'y+1/2, z-1/2, -x+1'], ['x, y, z', '-x+1, -y+1, z', '-x+1, y, -z', 'x, -y+1, -z', '-x+1, -y+1, -z', 'x, y, -z', 'x, -y+1, z', '-x+1, y, z', 'y, z+1/2, x-1/2', '-y+1, z+1/2, -x+1/2', 'y, -z+1/2, -x+1/2', '-y+1, -z+1/2, x-1/2', '-y+1, -z+1/2, -x+1/2', 'y, -z+1/2, x-1/2', '-y+1, z+1/2, x-1/2', 'y, z+1/2, -x+1/2', 'z+1/2, x, y-1/2', 'z+1/2, -x+1, -y+1/2', '-z+1/2, -x+1, y-1/2', '-z+1/2, x, -y+1/2', '-z+1/2, -x+1, -y+1/2', '-z+1/2, x, y-1/2', 'z+1/2, x, -y+1/2', 'z+1/2, -x+1, y-1/2']]]\"\n203,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', 'x, -y+1/4, -z+1/4'], ['x, y, z', 'x, -y+1/4, -z+1/4'], ['x, y, z', '-x+1/4, y, -z+1/4'], ['x, y, z', '-x+1/4, y, -z+1/4'], ['x, y, z', '-x+1/4, -y+1/4, z'], ['x, y, z', '-x+1/4, -y+1/4, z'], ['x, y, z', 'x, -y+7/4, -z+7/4'], ['x, y, z', 'x, -y+7/4, -z+7/4'], ['x, y, z', '-x+7/4, y, -z+7/4'], ['x, y, z', '-x+7/4, y, -z+7/4'], ['x, y, z', '-x+7/4, -y+7/4, z'], ['x, y, z', '-x+7/4, -y+7/4, z'], ['x, y, z', 'x, -y+5/4, -z+5/4'], ['x, y, z', 'x, -y+5/4, -z+5/4'], ['x, y, z', '-x+1/4, y, -z+5/4'], ['x, y, z', '-x+1/4, y, -z+5/4'], ['x, y, z', '-x+1/4, -y+5/4, z'], ['x, y, z', '-x+1/4, -y+5/4, z'], ['x, y, z', 'x, -y+11/4, -z+11/4'], ['x, y, z', 'x, -y+11/4, -z+11/4'], ['x, y, z', '-x+7/4, y, -z+11/4'], ['x, y, z', '-x+7/4, y, -z+11/4'], ['x, y, z', '-x+7/4, -y+11/4, z'], ['x, y, z', '-x+7/4, -y+11/4, z'], ['x, y, z', 'x, -y+1/4, -z+5/4'], ['x, y, z', 'x, -y+1/4, -z+5/4'], ['x, y, z', '-x+5/4, y, -z+5/4'], ['x, y, z', '-x+5/4, y, -z+5/4'], ['x, y, z', '-x+5/4, -y+1/4, z'], ['x, y, z', '-x+5/4, -y+1/4, z'], ['x, y, z', 'x, -y+7/4, -z+11/4'], ['x, y, z', 'x, -y+7/4, -z+11/4'], ['x, y, z', '-x+11/4, y, -z+11/4'], ['x, y, z', '-x+11/4, y, -z+11/4'], ['x, y, z', '-x+11/4, -y+7/4, z'], ['x, y, z', '-x+11/4, -y+7/4, z'], ['x, y, z', 'x, -y+5/4, -z+1/4'], ['x, y, z', 'x, -y+5/4, -z+1/4'], ['x, y, z', '-x+5/4, y, -z+1/4'], ['x, y, z', '-x+5/4, y, -z+1/4'], ['x, y, z', '-x+5/4, -y+5/4, z'], ['x, y, z', '-x+5/4, -y+5/4, z'], ['x, y, z', 'x, -y+11/4, -z+7/4'], ['x, y, z', 'x, -y+11/4, -z+7/4'], ['x, y, z', '-x+11/4, y, -z+7/4'], ['x, y, z', '-x+11/4, y, -z+7/4'], ['x, y, z', '-x+11/4, -y+11/4, z'], ['x, y, z', '-x+11/4, -y+11/4, z']], [['x, y, z', 'z, x, y', 'y, z, x'], ['x, y, z', '-z+1/4, x, -y+1/4', 'y, -z+1/4, -x+1/4'], ['x, y, z', 'z, -x+1/4, -y+1/4', '-y+1/4, -z+1/4, x'], ['x, y, z', '-z+1/4, -x+1/4, y', '-y+1/4, z, -x+1/4'], ['x, y, z', 'z, x, y', 'y, z, x'], ['x, y, z', 'y, -z+3/4, -x+3/4', '-z+3/4, x, -y+3/4'], ['x, y, z', 'z, -x+3/4, -y+3/4', '-y+3/4, -z+3/4, x'], ['x, y, z', '-y+3/4, z, -x+3/4', '-z+3/4, -x+3/4, y'], ['x, y, z', 'y-1/2, z, x+1/2', 'z-1/2, x+1/2, y'], ['x, y, z', 'y-1/2, -z+5/4, -x+3/4', '-z+3/4, x+1/2, -y+5/4'], ['x, y, z', '-y+3/4, -z+5/4, x+1/2', 'z-1/2, -x+3/4, -y+5/4'], ['x, y, z', '-y+3/4, z, -x+3/4', '-z+3/4, -x+3/4, y'], ['x, y, z', 'y-1/2, z, x+1/2', 'z-1/2, x+1/2, y'], ['x, y, z', '-z+5/4, x+1/2, -y+7/4', 'y-1/2, -z+7/4, -x+5/4'], ['x, y, z', '-y+5/4, -z+7/4, x+1/2', 'z-1/2, -x+5/4, -y+7/4'], ['x, y, z', '-z+5/4, -x+5/4, y', '-y+5/4, z, -x+5/4'], ['x, y, z', 'z, x-1/2, y+1/2', 'y+1/2, z-1/2, x'], ['x, y, z', '-z+5/4, x-1/2, -y+3/4', 'y+1/2, -z+3/4, -x+5/4'], ['x, y, z', 'z, -x+3/4, -y+3/4', '-y+3/4, -z+3/4, x'], ['x, y, z', '-z+5/4, -x+3/4, y+1/2', '-y+3/4, z-1/2, -x+5/4'], ['x, y, z', 'z, x-1/2, y+1/2', 'y+1/2, z-1/2, x'], ['x, y, z', 'y+1/2, -z+5/4, -x+7/4', '-z+7/4, x-1/2, -y+5/4'], ['x, y, z', 'z, -x+5/4, -y+5/4', '-y+5/4, -z+5/4, x'], ['x, y, z', '-y+5/4, z-1/2, -x+7/4', '-z+7/4, -x+5/4, y+1/2'], ['x, y, z', 'y, z+1/2, x-1/2', 'z+1/2, x, y-1/2'], ['x, y, z', 'y, -z+3/4, -x+3/4', '-z+3/4, x, -y+3/4'], ['x, y, z', '-y+5/4, -z+3/4, x-1/2', 'z+1/2, -x+5/4, -y+3/4'], ['x, y, z', '-y+5/4, z+1/2, -x+3/4', '-z+3/4, -x+5/4, y-1/2'], ['x, y, z', 'y, z+1/2, x-1/2', 'z+1/2, x, y-1/2'], ['x, y, z', '-z+5/4, x, -y+5/4', 'y, -z+5/4, -x+5/4'], ['x, y, z', '-y+7/4, -z+5/4, x-1/2', 'z+1/2, -x+7/4, -y+5/4'], ['x, y, z', '-z+5/4, -x+7/4, y-1/2', '-y+7/4, z+1/2, -x+5/4']], [['x, y, z', 'z, x, y', 'y, z, x', '-x+1, -y+1, -z+1', '-z+1, -x+1, -y+1', '-y+1, -z+1, -x+1'], ['x, y, z', '-z+5/4, x, -y+5/4', 'y, -z+5/4, -x+5/4', '-x+3/2, -y+3/2, -z+1', 'z+1/4, -x+3/2, y-1/4', '-y+3/2, z+1/4, x-1/4'], ['x, y, z', 'z, -x+5/4, -y+5/4', '-y+5/4, -z+5/4, x', '-x+3/2, -y+1, -z+3/2', '-z+3/2, x-1/4, y+1/4', 'y+1/4, z-1/4, -x+3/2'], ['x, y, z', '-z+5/4, -x+5/4, y', '-y+5/4, z, -x+5/4', '-x+1, -y+3/2, -z+3/2', 'z-1/4, x+1/4, -y+3/2', 'y-1/4, -z+3/2, x+1/4'], ['x, y, z', '-x+1, -y+2, -z+2', 'y-1/2, z, x+1/2', '-y+3/2, -z+2, -x+3/2', 'z-1/2, x+1/2, y', '-z+3/2, -x+3/2, -y+2'], ['x, y, z', 'z-1/4, -x+2, y-1/4', '-y+2, z+1/4, x+1/4', 'y-1/2, -z+9/4, -x+7/4', '-z+7/4, x+1/2, -y+9/4', '-x+3/2, -y+5/2, -z+2'], ['x, y, z', 'y-1/4, z-1/4, -x+2', '-z+2, x+1/4, y+1/4', '-y+7/4, -z+9/4, x+1/2', '-x+3/2, -y+2, -z+5/2', 'z-1/2, -x+7/4, -y+9/4'], ['x, y, z', '-x+1, -y+5/2, -z+5/2', '-y+7/4, z, -x+7/4', 'z-3/4, x+3/4, -y+5/2', '-z+7/4, -x+7/4, y', 'y-3/4, -z+5/2, x+3/4'], ['x, y, z', '-x+2, -y+1, -z+2', 'z, x-1/2, y+1/2', '-z+2, -x+3/2, -y+3/2', 'y+1/2, z-1/2, x', '-y+3/2, -z+3/2, -x+2'], ['x, y, z', '-y+2, z-1/4, x-1/4', '-z+9/4, x-1/2, -y+7/4', 'z+1/4, -x+2, y+1/4', 'y+1/2, -z+7/4, -x+9/4', '-x+5/2, -y+3/2, -z+2'], ['x, y, z', 'z, -x+7/4, -y+7/4', 'y+3/4, z-3/4, -x+5/2', '-x+5/2, -y+1, -z+5/2', '-y+7/4, -z+7/4, x', '-z+5/2, x-3/4, y+3/4'], ['x, y, z', 'z-1/4, x-1/4, -y+2', '-z+9/4, -x+7/4, y+1/2', '-x+2, -y+3/2, -z+5/2', 'y+1/4, -z+2, x+1/4', '-y+7/4, z-1/2, -x+9/4'], ['x, y, z', '-x+2, -y+2, -z+1', 'y, z+1/2, x-1/2', '-y+2, -z+3/2, -x+3/2', 'z+1/2, x, y-1/2', '-z+3/2, -x+2, -y+3/2'], ['x, y, z', 'y, -z+7/4, -x+7/4', 'z+3/4, -x+5/2, y-3/4', '-z+7/4, x, -y+7/4', '-y+5/2, z+3/4, x-3/4', '-x+5/2, -y+5/2, -z+1'], ['x, y, z', '-z+2, x-1/4, y-1/4', '-y+9/4, -z+7/4, x-1/2', 'z+1/2, -x+9/4, -y+7/4', '-x+5/2, -y+2, -z+3/2', 'y+1/4, z+1/4, -x+2'], ['x, y, z', 'y-1/4, -z+2, x-1/4', '-y+9/4, z+1/2, -x+7/4', '-x+2, -y+5/2, -z+3/2', '-z+7/4, -x+9/4, y-1/2', 'z+1/4, x+1/4, -y+2']], [['x, y, z', 'z, x, y', 'y, z, x', '-x, -y, -z', '-z, -x, -y', '-y, -z, -x'], ['x, y, z', '-z+1/4, x, -y+1/4', 'y, -z+1/4, -x+1/4', '-x+1/2, -y+1/2, -z', 'z+1/4, -x+1/2, y-1/4', '-y+1/2, z+1/4, x-1/4'], ['x, y, z', 'z, -x+1/4, -y+1/4', '-y+1/4, -z+1/4, x', '-x+1/2, -y, -z+1/2', '-z+1/2, x-1/4, y+1/4', 'y+1/4, z-1/4, -x+1/2'], ['x, y, z', '-z+1/4, -x+1/4, y', '-y+1/4, z, -x+1/4', '-x, -y+1/2, -z+1/2', 'z-1/4, x+1/4, -y+1/2', 'y-1/4, -z+1/2, x+1/4'], ['x, y, z', '-x, -y+1, -z+1', 'y-1/2, z, x+1/2', '-y+1/2, -z+1, -x+1/2', 'z-1/2, x+1/2, y', '-z+1/2, -x+1/2, -y+1'], ['x, y, z', 'z-1/4, -x+1, y-1/4', '-y+1, z+1/4, x+1/4', 'y-1/2, -z+5/4, -x+3/4', '-z+3/4, x+1/2, -y+5/4', '-x+1/2, -y+3/2, -z+1'], ['x, y, z', 'y-1/4, z-1/4, -x+1', '-z+1, x+1/4, y+1/4', '-y+3/4, -z+5/4, x+1/2', '-x+1/2, -y+1, -z+3/2', 'z-1/2, -x+3/4, -y+5/4'], ['x, y, z', '-x, -y+3/2, -z+3/2', '-y+3/4, z, -x+3/4', 'z-3/4, x+3/4, -y+3/2', '-z+3/4, -x+3/4, y', 'y-3/4, -z+3/2, x+3/4'], ['x, y, z', '-x+1, -y, -z+1', 'z, x-1/2, y+1/2', '-z+1, -x+1/2, -y+1/2', 'y+1/2, z-1/2, x', '-y+1/2, -z+1/2, -x+1'], ['x, y, z', '-y+1, z-1/4, x-1/4', '-z+5/4, x-1/2, -y+3/4', 'z+1/4, -x+1, y+1/4', 'y+1/2, -z+3/4, -x+5/4', '-x+3/2, -y+1/2, -z+1'], ['x, y, z', 'z, -x+3/4, -y+3/4', 'y+3/4, z-3/4, -x+3/2', '-x+3/2, -y, -z+3/2', '-y+3/4, -z+3/4, x', '-z+3/2, x-3/4, y+3/4'], ['x, y, z', 'z-1/4, x-1/4, -y+1', '-z+5/4, -x+3/4, y+1/2', '-x+1, -y+1/2, -z+3/2', 'y+1/4, -z+1, x+1/4', '-y+3/4, z-1/2, -x+5/4'], ['x, y, z', '-x+1, -y+1, -z', 'y, z+1/2, x-1/2', '-y+1, -z+1/2, -x+1/2', 'z+1/2, x, y-1/2', '-z+1/2, -x+1, -y+1/2'], ['x, y, z', 'y, -z+3/4, -x+3/4', 'z+3/4, -x+3/2, y-3/4', '-z+3/4, x, -y+3/4', '-y+3/2, z+3/4, x-3/4', '-x+3/2, -y+3/2, -z'], ['x, y, z', '-z+1, x-1/4, y-1/4', '-y+5/4, -z+3/4, x-1/2', 'z+1/2, -x+5/4, -y+3/4', '-x+3/2, -y+1, -z+1/2', 'y+1/4, z+1/4, -x+1'], ['x, y, z', 'y-1/4, -z+1, x-1/4', '-y+5/4, z+1/2, -x+3/4', '-x+1, -y+3/2, -z+1/2', '-z+3/4, -x+5/4, y-1/2', 'z+1/4, x+1/4, -y+1']], [['x, y, z', '-x+5/4, -y+5/4, z', '-x+5/4, y, -z+5/4', 'x, -y+5/4, -z+5/4', 'z, x, y', 'z, -x+5/4, -y+5/4', '-z+5/4, -x+5/4, y', '-z+5/4, x, -y+5/4', 'y, z, x', '-y+5/4, z, -x+5/4', 'y, -z+5/4, -x+5/4', '-y+5/4, -z+5/4, x'], ['x, y, z', 'z, x, y', 'y, z, x', 'x, -y+3/4, -z+3/4', 'z, -x+3/4, -y+3/4', 'y, -z+3/4, -x+3/4', '-x+3/4, y, -z+3/4', '-z+3/4, x, -y+3/4', '-y+3/4, z, -x+3/4', '-x+3/4, -y+3/4, z', '-z+3/4, -x+3/4, y', '-y+3/4, -z+3/4, x'], ['x, y, z', '-x+5/4, -y+9/4, z', '-x+5/4, y, -z+9/4', 'x, -y+9/4, -z+9/4', 'y-1/2, z, x+1/2', '-y+7/4, z, -x+7/4', 'y-1/2, -z+9/4, -x+7/4', '-y+7/4, -z+9/4, x+1/2', 'z-1/2, x+1/2, y', 'z-1/2, -x+7/4, -y+9/4', '-z+7/4, -x+7/4, y', '-z+7/4, x+1/2, -y+9/4'], ['x, y, z', '-z+5/4, -x+5/4, y', '-y+5/4, z, -x+5/4', 'x, -y+7/4, -z+7/4', '-z+5/4, x+1/2, -y+7/4', '-y+5/4, -z+7/4, x+1/2', '-x+3/4, y, -z+7/4', 'z-1/2, -x+5/4, -y+7/4', 'y-1/2, z, x+1/2', '-x+3/4, -y+7/4, z', 'z-1/2, x+1/2, y', 'y-1/2, -z+7/4, -x+5/4'], ['x, y, z', '-x+9/4, -y+5/4, z', '-x+9/4, y, -z+9/4', 'x, -y+5/4, -z+9/4', 'z, x-1/2, y+1/2', 'z, -x+7/4, -y+7/4', '-z+9/4, -x+7/4, y+1/2', '-z+9/4, x-1/2, -y+7/4', 'y+1/2, z-1/2, x', '-y+7/4, z-1/2, -x+9/4', 'y+1/2, -z+7/4, -x+9/4', '-y+7/4, -z+7/4, x'], ['x, y, z', 'z, -x+5/4, -y+5/4', '-y+5/4, -z+5/4, x', 'x, -y+3/4, -z+7/4', 'z, x-1/2, y+1/2', '-y+5/4, z-1/2, -x+7/4', '-x+7/4, y, -z+7/4', '-z+7/4, -x+5/4, y+1/2', 'y+1/2, -z+5/4, -x+7/4', '-x+7/4, -y+3/4, z', '-z+7/4, x-1/2, -y+5/4', 'y+1/2, z-1/2, x'], ['x, y, z', '-x+9/4, -y+9/4, z', '-x+9/4, y, -z+5/4', 'x, -y+9/4, -z+5/4', 'y, z+1/2, x-1/2', '-y+9/4, z+1/2, -x+7/4', 'y, -z+7/4, -x+7/4', '-y+9/4, -z+7/4, x-1/2', 'z+1/2, x, y-1/2', 'z+1/2, -x+9/4, -y+7/4', '-z+7/4, -x+9/4, y-1/2', '-z+7/4, x, -y+7/4'], ['x, y, z', '-z+5/4, x, -y+5/4', 'y, -z+5/4, -x+5/4', 'x, -y+7/4, -z+3/4', '-z+5/4, -x+7/4, y-1/2', 'y, z+1/2, x-1/2', '-x+7/4, y, -z+3/4', 'z+1/2, x, y-1/2', '-y+7/4, -z+5/4, x-1/2', '-x+7/4, -y+7/4, z', 'z+1/2, -x+7/4, -y+5/4', '-y+7/4, z+1/2, -x+5/4']], [['x, y, z', '-x+1/4, -y+1/4, z', '-x+1/4, y, -z+1/4', 'x, -y+1/4, -z+1/4', 'z, x, y', 'z, -x+1/4, -y+1/4', '-z+1/4, -x+1/4, y', '-z+1/4, x, -y+1/4', 'y, z, x', '-y+1/4, z, -x+1/4', 'y, -z+1/4, -x+1/4', '-y+1/4, -z+1/4, x'], ['x, y, z', 'z, x, y', 'y, z, x', 'x, -y+7/4, -z+7/4', 'z, -x+7/4, -y+7/4', 'y, -z+7/4, -x+7/4', '-x+7/4, y, -z+7/4', '-z+7/4, x, -y+7/4', '-y+7/4, z, -x+7/4', '-x+7/4, -y+7/4, z', '-z+7/4, -x+7/4, y', '-y+7/4, -z+7/4, x'], ['x, y, z', '-x+1/4, -y+5/4, z', '-x+1/4, y, -z+5/4', 'x, -y+5/4, -z+5/4', 'y-1/2, z, x+1/2', '-y+3/4, z, -x+3/4', 'y-1/2, -z+5/4, -x+3/4', '-y+3/4, -z+5/4, x+1/2', 'z-1/2, x+1/2, y', 'z-1/2, -x+3/4, -y+5/4', '-z+3/4, -x+3/4, y', '-z+3/4, x+1/2, -y+5/4'], ['x, y, z', '-z+9/4, -x+9/4, y', '-y+9/4, z, -x+9/4', 'x, -y+11/4, -z+11/4', '-z+9/4, x+1/2, -y+11/4', '-y+9/4, -z+11/4, x+1/2', '-x+7/4, y, -z+11/4', 'z-1/2, -x+9/4, -y+11/4', 'y-1/2, z, x+1/2', '-x+7/4, -y+11/4, z', 'z-1/2, x+1/2, y', 'y-1/2, -z+11/4, -x+9/4'], ['x, y, z', '-x+5/4, -y+1/4, z', '-x+5/4, y, -z+5/4', 'x, -y+1/4, -z+5/4', 'z, x-1/2, y+1/2', 'z, -x+3/4, -y+3/4', '-z+5/4, -x+3/4, y+1/2', '-z+5/4, x-1/2, -y+3/4', 'y+1/2, z-1/2, x', '-y+3/4, z-1/2, -x+5/4', 'y+1/2, -z+3/4, -x+5/4', '-y+3/4, -z+3/4, x'], ['x, y, z', 'z, -x+9/4, -y+9/4', '-y+9/4, -z+9/4, x', 'x, -y+7/4, -z+11/4', 'z, x-1/2, y+1/2', '-y+9/4, z-1/2, -x+11/4', '-x+11/4, y, -z+11/4', '-z+11/4, -x+9/4, y+1/2', 'y+1/2, -z+9/4, -x+11/4', '-x+11/4, -y+7/4, z', '-z+11/4, x-1/2, -y+9/4', 'y+1/2, z-1/2, x'], ['x, y, z', '-x+5/4, -y+5/4, z', '-x+5/4, y, -z+1/4', 'x, -y+5/4, -z+1/4', 'y, z+1/2, x-1/2', '-y+5/4, z+1/2, -x+3/4', 'y, -z+3/4, -x+3/4', '-y+5/4, -z+3/4, x-1/2', 'z+1/2, x, y-1/2', 'z+1/2, -x+5/4, -y+3/4', '-z+3/4, -x+5/4, y-1/2', '-z+3/4, x, -y+3/4'], ['x, y, z', '-z+9/4, x, -y+9/4', 'y, -z+9/4, -x+9/4', 'x, -y+11/4, -z+7/4', '-z+9/4, -x+11/4, y-1/2', 'y, z+1/2, x-1/2', '-x+11/4, y, -z+7/4', 'z+1/2, x, y-1/2', '-y+11/4, -z+9/4, x-1/2', '-x+11/4, -y+11/4, z', 'z+1/2, -x+11/4, -y+9/4', '-y+11/4, z+1/2, -x+9/4']]]\"\n204,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-x, y, z'], ['x, y, z', '-x, y, z'], ['x, y, z', '-x, y, z'], ['x, y, z', '-x, y, z'], ['x, y, z', 'x, -y, z'], ['x, y, z', 'x, -y, z'], ['x, y, z', 'x, -y, z'], ['x, y, z', 'x, -y, z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', '-x+1, y, z'], ['x, y, z', '-x+1, y, z'], ['x, y, z', '-x+1, y, z'], ['x, y, z', '-x+1, y, z'], ['x, y, z', 'x, -y+1, z'], ['x, y, z', 'x, -y+1, z'], ['x, y, z', 'x, -y+1, z'], ['x, y, z', 'x, -y+1, z'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1']], [['x, y, z', 'z, x, y', 'y, z, x'], ['x, y, z', '-z, x, -y', 'y, -z, -x'], ['x, y, z', 'z, -x, -y', '-y, -z, x'], ['x, y, z', '-z, -x, y', '-y, z, -x'], ['x, y, z', 'z, x, y', 'y, z, x'], ['x, y, z', '-z, x, -y', 'y, -z, -x'], ['x, y, z', 'z, -x, -y', '-y, -z, x'], ['x, y, z', '-z, -x, y', '-y, z, -x'], ['x, y, z', 'z, x, y', 'y, z, x'], ['x, y, z', '-z+1, x, -y+1', 'y, -z+1, -x+1'], ['x, y, z', 'z, -x+1, -y+1', '-y+1, -z+1, x'], ['x, y, z', '-z+1, -x+1, y', '-y+1, z, -x+1'], ['x, y, z', 'z, x, y', 'y, z, x'], ['x, y, z', '-z+1, x, -y+1', 'y, -z+1, -x+1'], ['x, y, z', 'z, -x+1, -y+1', '-y+1, -z+1, x'], ['x, y, z', '-z+1, -x+1, y', '-y+1, z, -x+1']], [['x, y, z', 'x, -y, -z+1', 'x, y, -z+1', 'x, -y, z'], ['x, y, z', 'x, -y, -z+1', 'x, y, -z+1', 'x, -y, z'], ['x, y, z', '-x+1, y, -z', 'x, y, -z', '-x+1, y, z'], ['x, y, z', '-x+1, y, -z', 'x, y, -z', '-x+1, y, z'], ['x, y, z', '-x, -y+1, z', 'x, -y+1, z', '-x, y, z'], ['x, y, z', '-x, -y+1, z', 'x, -y+1, z', '-x, y, z'], ['x, y, z', 'x, -y+1, -z+2', 'x, y, -z+2', 'x, -y+1, z'], ['x, y, z', 'x, -y+1, -z+2', 'x, y, -z+2', 'x, -y+1, z'], ['x, y, z', '-x+2, y, -z+1', 'x, y, -z+1', '-x+2, y, z'], ['x, y, z', '-x+2, y, -z+1', 'x, y, -z+1', '-x+2, y, z'], ['x, y, z', '-x+1, -y+2, z', 'x, -y+2, z', '-x+1, y, z'], ['x, y, z', '-x+1, -y+2, z', 'x, -y+2, z', '-x+1, y, z']], [['x, y, z', 'x, -y, -z', 'x, y, -z', 'x, -y, z'], ['x, y, z', 'x, -y, -z', 'x, y, -z', 'x, -y, z'], ['x, y, z', '-x, y, -z', 'x, y, -z', '-x, y, z'], ['x, y, z', '-x, y, -z', 'x, y, -z', '-x, y, z'], ['x, y, z', '-x, -y, z', 'x, -y, z', '-x, y, z'], ['x, y, z', '-x, -y, z', 'x, -y, z', '-x, y, z'], ['x, y, z', 'x, -y+1, -z+1', 'x, y, -z+1', 'x, -y+1, z'], ['x, y, z', 'x, -y+1, -z+1', 'x, y, -z+1', 'x, -y+1, z'], ['x, y, z', '-x+1, y, -z+1', 'x, y, -z+1', '-x+1, y, z'], ['x, y, z', '-x+1, y, -z+1', 'x, y, -z+1', '-x+1, y, z'], ['x, y, z', '-x+1, -y+1, z', 'x, -y+1, z', '-x+1, y, z'], ['x, y, z', '-x+1, -y+1, z', 'x, -y+1, z', '-x+1, y, z']], [['x, y, z', 'z, x, y', 'y, z, x', '-x+1/2, -y+1/2, -z+1/2', '-z+1/2, -x+1/2, -y+1/2', '-y+1/2, -z+1/2, -x+1/2'], ['x, y, z', '-z+1, x, -y+1', 'y, -z+1, -x+1', '-x+3/2, -y+3/2, -z+1/2', 'z+1/2, -x+3/2, y-1/2', '-y+3/2, z+1/2, x-1/2'], ['x, y, z', 'z, -x+1, -y+1', '-y+1, -z+1, x', '-x+3/2, -y+1/2, -z+3/2', '-z+3/2, x-1/2, y+1/2', 'y+1/2, z-1/2, -x+3/2'], ['x, y, z', '-z+1, -x+1, y', '-y+1, z, -x+1', '-x+1/2, -y+3/2, -z+3/2', 'z-1/2, x+1/2, -y+3/2', 'y-1/2, -z+3/2, x+1/2'], ['x, y, z', 'z, x, y', 'y, z, x', '-x+3/2, -y+3/2, -z+3/2', '-z+3/2, -x+3/2, -y+3/2', '-y+3/2, -z+3/2, -x+3/2'], ['x, y, z', '-z+2, x, -y+2', 'y, -z+2, -x+2', '-x+5/2, -y+5/2, -z+3/2', 'z+1/2, -x+5/2, y-1/2', '-y+5/2, z+1/2, x-1/2'], ['x, y, z', 'z, -x+2, -y+2', '-y+2, -z+2, x', '-x+5/2, -y+3/2, -z+5/2', '-z+5/2, x-1/2, y+1/2', 'y+1/2, z-1/2, -x+5/2'], ['x, y, z', '-z+2, -x+2, y', '-y+2, z, -x+2', '-x+3/2, -y+5/2, -z+5/2', 'z-1/2, x+1/2, -y+5/2', 'y-1/2, -z+5/2, x+1/2']], [['x, y, z', '-x, -y+1, z', '-x, y, -z+1', 'x, -y+1, -z+1', '-x, -y+1, -z+1', 'x, y, -z+1', 'x, -y+1, z', '-x, y, z'], ['x, y, z', '-x+1, -y, z', '-x+1, y, -z+1', 'x, -y, -z+1', '-x+1, -y, -z+1', 'x, y, -z+1', 'x, -y, z', '-x+1, y, z'], ['x, y, z', '-x+1, -y+1, z', '-x+1, y, -z', 'x, -y+1, -z', '-x+1, -y+1, -z', 'x, y, -z', 'x, -y+1, z', '-x+1, y, z'], ['x, y, z', '-x+1, -y+2, z', '-x+1, y, -z+2', 'x, -y+2, -z+2', '-x+1, -y+2, -z+2', 'x, y, -z+2', 'x, -y+2, z', '-x+1, y, z'], ['x, y, z', '-x+2, -y+1, z', '-x+2, y, -z+2', 'x, -y+1, -z+2', '-x+2, -y+1, -z+2', 'x, y, -z+2', 'x, -y+1, z', '-x+2, y, z'], ['x, y, z', '-x+2, -y+2, z', '-x+2, y, -z+1', 'x, -y+2, -z+1', '-x+2, -y+2, -z+1', 'x, y, -z+1', 'x, -y+2, z', '-x+2, y, z']], [['x, y, z', '-x, -y, z', '-x, y, -z', 'x, -y, -z', 'z, x, y', 'z, -x, -y', '-z, -x, y', '-z, x, -y', 'y, z, x', '-y, z, -x', 'y, -z, -x', '-y, -z, x', '-x, -y, -z', 'x, y, -z', 'x, -y, z', '-x, y, z', '-z, -x, -y', '-z, x, y', 'z, x, -y', 'z, -x, y', '-y, -z, -x', 'y, -z, x', '-y, z, x', 'y, z, -x'], ['x, y, z', '-x+1, -y+1, z', '-x+1, y, -z+1', 'x, -y+1, -z+1', 'z, x, y', 'z, -x+1, -y+1', '-z+1, -x+1, y', '-z+1, x, -y+1', 'y, z, x', '-y+1, z, -x+1', 'y, -z+1, -x+1', '-y+1, -z+1, x', '-x+1, -y+1, -z+1', 'x, y, -z+1', 'x, -y+1, z', '-x+1, y, z', '-z+1, -x+1, -y+1', '-z+1, x, y', 'z, x, -y+1', 'z, -x+1, y', '-y+1, -z+1, -x+1', 'y, -z+1, x', '-y+1, z, x', 'y, z, -x+1']]]\"\n205,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', 'z, x, y', 'y, z, x'], ['x, y, z', '-z+1, x-1/2, -y+1/2', 'y+1/2, -z+1/2, -x+1'], ['x, y, z', 'z-1/2, -x+1/2, -y+1', '-y+1/2, -z+1, x+1/2'], ['x, y, z', '-z+1/2, -x+1, y-1/2', '-y+1, z+1/2, -x+1/2'], ['x, y, z', 'z, x, y', 'y, z, x'], ['x, y, z', '-z+1, x-1/2, -y+1/2', 'y+1/2, -z+1/2, -x+1'], ['x, y, z', 'z-1/2, -x+1/2, -y+1', '-y+1/2, -z+1, x+1/2'], ['x, y, z', '-z+1/2, -x+1, y-1/2', '-y+1, z+1/2, -x+1/2']], [['x, y, z', 'z, x, y', 'y, z, x', '-x+1, -y+1, -z+1', '-z+1, -x+1, -y+1', '-y+1, -z+1, -x+1'], ['x, y, z', '-z, x+1/2, -y+1/2', 'y-1/2, -z+1/2, -x', '-x, -y+1, -z', 'z, -x+1/2, y-1/2', '-y+1/2, z+1/2, x'], ['x, y, z', 'z+1/2, -x+1/2, -y', '-y+1/2, -z, x-1/2', '-x+1, -y, -z', '-z+1/2, x-1/2, y', 'y+1/2, z, -x+1/2'], ['x, y, z', '-z+1/2, -x, y+1/2', '-y, z-1/2, -x+1/2', '-x, -y, -z+1', 'z-1/2, x, -y+1/2', 'y, -z+1/2, x+1/2']], [['x, y, z', 'z, x, y', 'y, z, x', '-x, -y, -z', '-z, -x, -y', '-y, -z, -x'], ['x, y, z', '-z+1, x-1/2, -y+1/2', 'y+1/2, -z+1/2, -x+1', '-x+1, -y, -z+1', 'z, -x+1/2, y+1/2', '-y+1/2, z-1/2, x'], ['x, y, z', 'z-1/2, -x+1/2, -y+1', '-y+1/2, -z+1, x+1/2', '-x, -y+1, -z+1', '-z+1/2, x+1/2, y', 'y-1/2, z, -x+1/2'], ['x, y, z', '-z+1/2, -x+1, y-1/2', '-y+1, z+1/2, -x+1/2', '-x+1, -y+1, -z', 'z+1/2, x, -y+1/2', 'y, -z+1/2, x-1/2']]]\"\n206,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', 'x, -y, -z+1/2'], ['x, y, z', 'x, -y, -z+3/2'], ['x, y, z', '-x+1/2, y, -z'], ['x, y, z', '-x+3/2, y, -z'], ['x, y, z', '-x, -y+1/2, z'], ['x, y, z', '-x, -y+3/2, z'], ['x, y, z', 'x, -y, -z+3/2'], ['x, y, z', 'x, -y, -z+1/2'], ['x, y, z', '-x+3/2, y, -z'], ['x, y, z', '-x+1/2, y, -z'], ['x, y, z', '-x, -y+3/2, z'], ['x, y, z', '-x, -y+1/2, z'], ['x, y, z', 'x, -y+1, -z+3/2'], ['x, y, z', 'x, -y+1, -z+5/2'], ['x, y, z', '-x+3/2, y, -z+1'], ['x, y, z', '-x+5/2, y, -z+1'], ['x, y, z', '-x+1, -y+3/2, z'], ['x, y, z', '-x+1, -y+5/2, z'], ['x, y, z', 'x, -y+1, -z+5/2'], ['x, y, z', 'x, -y+1, -z+3/2'], ['x, y, z', '-x+5/2, y, -z+1'], ['x, y, z', '-x+3/2, y, -z+1'], ['x, y, z', '-x+1, -y+5/2, z'], ['x, y, z', '-x+1, -y+3/2, z']], [['x, y, z', 'z, x, y', 'y, z, x'], ['x, y, z', '-z+1, x-1/2, -y+1/2', 'y+1/2, -z+1/2, -x+1'], ['x, y, z', 'z-1/2, -x+1/2, -y+1', '-y+1/2, -z+1, x+1/2'], ['x, y, z', '-z+1/2, -x+1, y-1/2', '-y+1, z+1/2, -x+1/2'], ['x, y, z', 'z, x, y', 'y, z, x'], ['x, y, z', '-z+1, x-1/2, -y+1/2', 'y+1/2, -z+1/2, -x+1'], ['x, y, z', 'z-1/2, -x+1/2, -y+1', '-y+1/2, -z+1, x+1/2'], ['x, y, z', '-z+1/2, -x+1, y-1/2', '-y+1, z+1/2, -x+1/2'], ['x, y, z', 'z, x, y', 'y, z, x'], ['x, y, z', '-z+2, x-1/2, -y+3/2', 'y+1/2, -z+3/2, -x+2'], ['x, y, z', 'z-1/2, -x+3/2, -y+2', '-y+3/2, -z+2, x+1/2'], ['x, y, z', '-z+3/2, -x+2, y-1/2', '-y+2, z+1/2, -x+3/2'], ['x, y, z', 'z, x, y', 'y, z, x'], ['x, y, z', '-z+2, x-1/2, -y+3/2', 'y+1/2, -z+3/2, -x+2'], ['x, y, z', 'z-1/2, -x+3/2, -y+2', '-y+3/2, -z+2, x+1/2'], ['x, y, z', '-z+3/2, -x+2, y-1/2', '-y+2, z+1/2, -x+3/2']], [['x, y, z', 'z, x, y', 'y, z, x', '-x+1/2, -y+1/2, -z+1/2', '-z+1/2, -x+1/2, -y+1/2', '-y+1/2, -z+1/2, -x+1/2'], ['x, y, z', '-z+1, x+1/2, -y+3/2', 'y-1/2, -z+3/2, -x+1', '-x+1/2, -y+3/2, -z+3/2', 'z-1/2, -x+1, y', '-y+1, z, x+1/2'], ['x, y, z', 'z+1/2, -x+3/2, -y+1', '-y+3/2, -z+1, x-1/2', '-x+3/2, -y+3/2, -z+1/2', '-z+1, x, y-1/2', 'y, z+1/2, -x+1'], ['x, y, z', '-z+3/2, -x+1, y+1/2', '-y+1, z-1/2, -x+3/2', '-x+3/2, -y+1/2, -z+3/2', 'z, x-1/2, -y+1', 'y+1/2, -z+1, x'], ['x, y, z', 'z, x, y', 'y, z, x', '-x+3/2, -y+3/2, -z+3/2', '-z+3/2, -x+3/2, -y+3/2', '-y+3/2, -z+3/2, -x+3/2'], ['x, y, z', '-z+2, x+1/2, -y+5/2', 'y-1/2, -z+5/2, -x+2', '-x+3/2, -y+5/2, -z+5/2', 'z-1/2, -x+2, y', '-y+2, z, x+1/2'], ['x, y, z', 'z+1/2, -x+5/2, -y+2', '-y+5/2, -z+2, x-1/2', '-x+5/2, -y+5/2, -z+3/2', '-z+2, x, y-1/2', 'y, z+1/2, -x+2'], ['x, y, z', '-z+5/2, -x+2, y+1/2', '-y+2, z-1/2, -x+5/2', '-x+5/2, -y+3/2, -z+5/2', 'z, x-1/2, -y+2', 'y+1/2, -z+2, x']], [['x, y, z', 'z, x, y', 'y, z, x', '-x, -y, -z', '-z, -x, -y', '-y, -z, -x'], ['x, y, z', '-z+1, x-1/2, -y+1/2', 'y+1/2, -z+1/2, -x+1', '-x+1, -y, -z+1', 'z, -x+1/2, y+1/2', '-y+1/2, z-1/2, x'], ['x, y, z', 'z-1/2, -x+1/2, -y+1', '-y+1/2, -z+1, x+1/2', '-x, -y+1, -z+1', '-z+1/2, x+1/2, y', 'y-1/2, z, -x+1/2'], ['x, y, z', '-z+1/2, -x+1, y-1/2', '-y+1, z+1/2, -x+1/2', '-x+1, -y+1, -z', 'z+1/2, x, -y+1/2', 'y, -z+1/2, x-1/2'], ['x, y, z', 'z, x, y', 'y, z, x', '-x+1, -y+1, -z+1', '-z+1, -x+1, -y+1', '-y+1, -z+1, -x+1'], ['x, y, z', '-z+2, x-1/2, -y+3/2', 'y+1/2, -z+3/2, -x+2', '-x+2, -y+1, -z+2', 'z, -x+3/2, y+1/2', '-y+3/2, z-1/2, x'], ['x, y, z', 'z-1/2, -x+3/2, -y+2', '-y+3/2, -z+2, x+1/2', '-x+1, -y+2, -z+2', '-z+3/2, x+1/2, y', 'y-1/2, z, -x+3/2'], ['x, y, z', '-z+3/2, -x+2, y-1/2', '-y+2, z+1/2, -x+3/2', '-x+2, -y+2, -z+1', 'z+1/2, x, -y+3/2', 'y, -z+3/2, x-1/2']]]\"\n207,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-x+1, z, y'], ['x, y, z', '-x+1, -z, -y'], ['x, y, z', '-x+1, -z, -y'], ['x, y, z', '-x+1, z, y'], ['x, y, z', 'z, -y+1, x'], ['x, y, z', '-z, -y+1, -x'], ['x, y, z', '-z, -y+1, -x'], ['x, y, z', 'z, -y+1, x'], ['x, y, z', 'y, x, -z+1'], ['x, y, z', '-y, -x, -z+1'], ['x, y, z', '-y, -x, -z+1'], ['x, y, z', 'y, x, -z+1']], [['x, y, z', '-x, z, y'], ['x, y, z', '-x, -z, -y'], ['x, y, z', '-x, -z, -y'], ['x, y, z', '-x, z, y'], ['x, y, z', 'z, -y, x'], ['x, y, z', '-z, -y, -x'], ['x, y, z', '-z, -y, -x'], ['x, y, z', 'z, -y, x'], ['x, y, z', 'y, x, -z'], ['x, y, z', '-y, -x, -z'], ['x, y, z', '-y, -x, -z'], ['x, y, z', 'y, x, -z']], [['x, y, z', 'x, -y+1, -z'], ['x, y, z', 'x, -y+1, -z'], ['x, y, z', '-x, y, -z+1'], ['x, y, z', '-x, y, -z+1'], ['x, y, z', '-x+1, -y, z'], ['x, y, z', '-x+1, -y, z'], ['x, y, z', '-x+1, y, -z'], ['x, y, z', '-x+1, y, -z'], ['x, y, z', 'x, -y, -z+1'], ['x, y, z', 'x, -y, -z+1'], ['x, y, z', '-x, -y+1, z'], ['x, y, z', '-x, -y+1, z']], [['x, y, z', 'z, x, y', 'y, z, x'], ['x, y, z', '-z, x, -y', 'y, -z, -x'], ['x, y, z', 'z, -x, -y', '-y, -z, x'], ['x, y, z', '-z, -x, y', '-y, z, -x'], ['x, y, z', '-z, x, -y', 'y, -z, -x'], ['x, y, z', 'z, x, y', 'y, z, x'], ['x, y, z', 'z, -x, -y', '-y, -z, x'], ['x, y, z', '-z, -x, y', '-y, z, -x']], [['x, y, z', 'x, -y+1, -z+1', 'x, z, -y+1', 'x, -z+1, y'], ['x, y, z', 'x, -y+1, -z+1', 'x, z, -y+1', 'x, -z+1, y'], ['x, y, z', '-x+1, y, -z+1', 'z, y, -x+1', '-z+1, y, x'], ['x, y, z', '-x+1, y, -z+1', 'z, y, -x+1', '-z+1, y, x'], ['x, y, z', '-x+1, -y+1, z', 'y, -x+1, z', '-y+1, x, z'], ['x, y, z', '-x+1, -y+1, z', 'y, -x+1, z', '-y+1, x, z']], [['x, y, z', 'x, -y, -z', 'x, z, -y', 'x, -z, y'], ['x, y, z', 'x, -y, -z', 'x, z, -y', 'x, -z, y'], ['x, y, z', '-x, y, -z', 'z, y, -x', '-z, y, x'], ['x, y, z', '-x, y, -z', 'z, y, -x', '-z, y, x'], ['x, y, z', '-x, -y, z', 'y, -x, z', '-y, x, z'], ['x, y, z', '-x, -y, z', 'y, -x, z', '-y, x, z']], [['x, y, z', '-x+1, -y, z', '-x+1, y, -z', 'x, -y, -z', 'x, z, -y', '-x+1, z, y', '-x+1, -z, -y', 'x, -z, y'], ['x, y, z', '-x, -y+1, z', '-x, y, -z', 'x, -y+1, -z', 'z, y, -x', 'z, -y+1, x', '-z, y, x', '-z, -y+1, -x'], ['x, y, z', '-x, -y, z', '-x, y, -z+1', 'x, -y, -z+1', 'y, x, -z+1', '-y, -x, -z+1', 'y, -x, z', '-y, x, z']], [['x, y, z', '-x, -y+1, z', '-x, y, -z+1', 'x, -y+1, -z+1', 'x, z, -y+1', '-x, z, y', '-x, -z+1, -y+1', 'x, -z+1, y'], ['x, y, z', '-x+1, -y, z', '-x+1, y, -z+1', 'x, -y, -z+1', 'z, y, -x+1', 'z, -y, x', '-z+1, y, x', '-z+1, -y, -x+1'], ['x, y, z', '-x+1, -y+1, z', '-x+1, y, -z', 'x, -y+1, -z', 'y, x, -z', '-y+1, -x+1, -z', 'y, -x+1, z', '-y+1, x, z']], [['x, y, z', '-x+1, -y+1, z', '-x+1, y, -z+1', 'x, -y+1, -z+1', 'z, x, y', 'z, -x+1, -y+1', '-z+1, -x+1, y', '-z+1, x, -y+1', 'y, z, x', '-y+1, z, -x+1', 'y, -z+1, -x+1', '-y+1, -z+1, x', 'y, x, -z+1', '-y+1, -x+1, -z+1', 'y, -x+1, z', '-y+1, x, z', 'x, z, -y+1', '-x+1, z, y', '-x+1, -z+1, -y+1', 'x, -z+1, y', 'z, y, -x+1', 'z, -y+1, x', '-z+1, y, x', '-z+1, -y+1, -x+1']], [['x, y, z', '-x, -y, z', '-x, y, -z', 'x, -y, -z', 'z, x, y', 'z, -x, -y', '-z, -x, y', '-z, x, -y', 'y, z, x', '-y, z, -x', 'y, -z, -x', '-y, -z, x', 'y, x, -z', '-y, -x, -z', 'y, -x, z', '-y, x, z', 'x, z, -y', '-x, z, y', '-x, -z, -y', 'x, -z, y', 'z, y, -x', 'z, -y, x', '-z, y, x', '-z, -y, -x']]]\"\n208,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-x+1/2, z-1/2, y+1/2'], ['x, y, z', '-x+3/2, -z+1/2, -y+1/2'], ['x, y, z', '-x+3/2, -z+1/2, -y+1/2'], ['x, y, z', '-x+1/2, z-1/2, y+1/2'], ['x, y, z', 'z+1/2, -y+1/2, x-1/2'], ['x, y, z', '-z+1/2, -y+3/2, -x+1/2'], ['x, y, z', '-z+1/2, -y+3/2, -x+1/2'], ['x, y, z', 'z+1/2, -y+1/2, x-1/2'], ['x, y, z', 'y-1/2, x+1/2, -z+1/2'], ['x, y, z', '-y+1/2, -x+1/2, -z+3/2'], ['x, y, z', '-y+1/2, -x+1/2, -z+3/2'], ['x, y, z', 'y-1/2, x+1/2, -z+1/2']], [['x, y, z', '-x+1/2, -z+1/2, -y+1/2'], ['x, y, z', '-x+3/2, z-1/2, y+1/2'], ['x, y, z', '-x+3/2, z-1/2, y+1/2'], ['x, y, z', '-x+1/2, -z+1/2, -y+1/2'], ['x, y, z', '-z+1/2, -y+1/2, -x+1/2'], ['x, y, z', 'z+1/2, -y+3/2, x-1/2'], ['x, y, z', 'z+1/2, -y+3/2, x-1/2'], ['x, y, z', '-z+1/2, -y+1/2, -x+1/2'], ['x, y, z', '-y+1/2, -x+1/2, -z+1/2'], ['x, y, z', 'y-1/2, x+1/2, -z+3/2'], ['x, y, z', 'y-1/2, x+1/2, -z+3/2'], ['x, y, z', '-y+1/2, -x+1/2, -z+1/2']], [['x, y, z', 'x, -y+1, -z'], ['x, y, z', 'x, -y+1, -z'], ['x, y, z', '-x, y, -z+1'], ['x, y, z', '-x, y, -z+1'], ['x, y, z', '-x+1, -y, z'], ['x, y, z', '-x+1, -y, z'], ['x, y, z', '-x, y, -z+1'], ['x, y, z', '-x, y, -z+1'], ['x, y, z', 'x, -y+1, -z'], ['x, y, z', 'x, -y+1, -z'], ['x, y, z', '-x+1, -y, z'], ['x, y, z', '-x+1, -y, z']], [['x, y, z', 'x, -y, -z+1'], ['x, y, z', 'x, -y, -z+1'], ['x, y, z', '-x+1, y, -z'], ['x, y, z', '-x+1, y, -z'], ['x, y, z', '-x, -y+1, z'], ['x, y, z', '-x, -y+1, z'], ['x, y, z', '-x+1, y, -z'], ['x, y, z', '-x+1, y, -z'], ['x, y, z', 'x, -y, -z+1'], ['x, y, z', 'x, -y, -z+1'], ['x, y, z', '-x, -y+1, z'], ['x, y, z', '-x, -y+1, z']], [['x, y, z', 'x, -y, -z'], ['x, y, z', 'x, -y, -z'], ['x, y, z', '-x, y, -z'], ['x, y, z', '-x, y, -z'], ['x, y, z', '-x, -y, z'], ['x, y, z', '-x, -y, z'], ['x, y, z', '-x+1, y, -z+1'], ['x, y, z', '-x+1, y, -z+1'], ['x, y, z', 'x, -y+1, -z+1'], ['x, y, z', 'x, -y+1, -z+1'], ['x, y, z', '-x+1, -y+1, z'], ['x, y, z', '-x+1, -y+1, z']], [['x, y, z', 'z, x, y', 'y, z, x'], ['x, y, z', '-z, x, -y', 'y, -z, -x'], ['x, y, z', 'z, -x, -y', '-y, -z, x'], ['x, y, z', '-z, -x, y', '-y, z, -x'], ['x, y, z', '-z+1, x, -y+1', 'y, -z+1, -x+1'], ['x, y, z', 'z, x, y', 'y, z, x'], ['x, y, z', 'z, -x+1, -y+1', '-y+1, -z+1, x'], ['x, y, z', '-z+1, -x+1, y', '-y+1, z, -x+1']], [['x, y, z', 'x, -y+1, -z', '-x+1/2, z+1/2, y-1/2', '-x+1/2, -z+1/2, -y+1/2'], ['x, y, z', 'x, -y+1, -z', '-x+3/2, z+1/2, y-1/2', '-x+3/2, -z+1/2, -y+1/2'], ['x, y, z', '-x, y, -z+1', 'z-1/2, -y+1/2, x+1/2', '-z+1/2, -y+1/2, -x+1/2'], ['x, y, z', '-x, y, -z+1', 'z-1/2, -y+3/2, x+1/2', '-z+1/2, -y+3/2, -x+1/2'], ['x, y, z', '-x+1, -y, z', 'y+1/2, x-1/2, -z+1/2', '-y+1/2, -x+1/2, -z+1/2'], ['x, y, z', '-x+1, -y, z', 'y+1/2, x-1/2, -z+3/2', '-y+1/2, -x+1/2, -z+3/2']], [['x, y, z', 'x, -y, -z+1', '-x+1/2, z-1/2, y+1/2', '-x+1/2, -z+1/2, -y+1/2'], ['x, y, z', 'x, -y, -z+1', '-x+3/2, z-1/2, y+1/2', '-x+3/2, -z+1/2, -y+1/2'], ['x, y, z', '-x+1, y, -z', 'z+1/2, -y+1/2, x-1/2', '-z+1/2, -y+1/2, -x+1/2'], ['x, y, z', '-x+1, y, -z', 'z+1/2, -y+3/2, x-1/2', '-z+1/2, -y+3/2, -x+1/2'], ['x, y, z', '-x, -y+1, z', 'y-1/2, x+1/2, -z+1/2', '-y+1/2, -x+1/2, -z+1/2'], ['x, y, z', '-x, -y+1, z', 'y-1/2, x+1/2, -z+3/2', '-y+1/2, -x+1/2, -z+3/2']], [['x, y, z', '-x, -y+1, z', '-x, y, -z+1', 'x, -y+1, -z+1'], ['x, y, z', '-x+1, -y, z', '-x+1, y, -z+1', 'x, -y, -z+1'], ['x, y, z', '-x+1, -y+1, z', '-x+1, y, -z', 'x, -y+1, -z'], ['x, y, z', '-x, -y+1, z', '-x, y, -z', 'x, -y+1, -z'], ['x, y, z', '-x+1, -y, z', '-x+1, y, -z', 'x, -y, -z'], ['x, y, z', '-x, -y, z', '-x, y, -z+1', 'x, -y, -z+1']], [['x, y, z', 'z, x, y', 'y, z, x', '-y+3/2, -x+3/2, -z+3/2', '-x+3/2, -z+3/2, -y+3/2', '-z+3/2, -y+3/2, -x+3/2'], ['x, y, z', '-z+1, x, -y+1', 'y, -z+1, -x+1', '-y+1/2, -x+1/2, -z+3/2', '-x+1/2, z-1/2, y+1/2', 'z-1/2, -y+1/2, x+1/2'], ['x, y, z', 'z, -x+1, -y+1', '-y+1, -z+1, x', 'y-1/2, x+1/2, -z+1/2', '-x+1/2, z+1/2, y-1/2', '-z+1/2, -y+3/2, -x+1/2'], ['x, y, z', '-z+1, -x+1, y', '-y+1, z, -x+1', 'y+1/2, x-1/2, -z+1/2', '-x+3/2, -z+1/2, -y+1/2', 'z+1/2, -y+1/2, x-1/2']], [['x, y, z', 'z, x, y', 'y, z, x', '-y+1/2, -x+1/2, -z+1/2', '-x+1/2, -z+1/2, -y+1/2', '-z+1/2, -y+1/2, -x+1/2'], ['x, y, z', '-z+1, x, -y+1', 'y, -z+1, -x+1', '-y+3/2, -x+3/2, -z+1/2', '-x+3/2, z+1/2, y-1/2', 'z+1/2, -y+3/2, x-1/2'], ['x, y, z', 'z, -x+1, -y+1', '-y+1, -z+1, x', 'y+1/2, x-1/2, -z+3/2', '-x+3/2, z-1/2, y+1/2', '-z+3/2, -y+1/2, -x+3/2'], ['x, y, z', '-z+1, -x+1, y', '-y+1, z, -x+1', 'y-1/2, x+1/2, -z+3/2', '-x+1/2, -z+3/2, -y+3/2', 'z-1/2, -y+3/2, x+1/2']], [['x, y, z', '-x, -y, z', '-x, y, -z', 'x, -y, -z', 'z, x, y', 'z, -x, -y', '-z, -x, y', '-z, x, -y', 'y, z, x', '-y, z, -x', 'y, -z, -x', '-y, -z, x'], ['x, y, z', '-x+1, -y+1, z', '-x+1, y, -z+1', 'x, -y+1, -z+1', 'z, x, y', 'z, -x+1, -y+1', '-z+1, -x+1, y', '-z+1, x, -y+1', 'y, z, x', '-y+1, z, -x+1', 'y, -z+1, -x+1', '-y+1, -z+1, x']]]\"\n209,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', 'x, -y+1/2, -z+1/2'], ['x, y, z', 'x, -y+3/2, -z+1/2'], ['x, y, z', '-x+1/2, y, -z+1/2'], ['x, y, z', '-x+1/2, y, -z+3/2'], ['x, y, z', '-x+1/2, -y+1/2, z'], ['x, y, z', '-x+3/2, -y+1/2, z'], ['x, y, z', '-x+1/2, y, -z+3/2'], ['x, y, z', '-x+3/2, y, -z+3/2'], ['x, y, z', 'x, -y+1/2, -z+3/2'], ['x, y, z', 'x, -y+1/2, -z+1/2'], ['x, y, z', '-x+1/2, -y+1/2, z'], ['x, y, z', '-x+1/2, -y+3/2, z'], ['x, y, z', 'x, -y+3/2, -z+3/2'], ['x, y, z', 'x, -y+5/2, -z+3/2'], ['x, y, z', '-x+1/2, y, -z+3/2'], ['x, y, z', '-x+1/2, y, -z+5/2'], ['x, y, z', '-x+1/2, -y+3/2, z'], ['x, y, z', '-x+3/2, -y+3/2, z'], ['x, y, z', '-x+1/2, y, -z+5/2'], ['x, y, z', '-x+3/2, y, -z+5/2'], ['x, y, z', 'x, -y+3/2, -z+5/2'], ['x, y, z', 'x, -y+3/2, -z+3/2'], ['x, y, z', '-x+1/2, -y+3/2, z'], ['x, y, z', '-x+1/2, -y+5/2, z'], ['x, y, z', 'x, -y+1/2, -z+3/2'], ['x, y, z', 'x, -y+3/2, -z+3/2'], ['x, y, z', '-x+3/2, y, -z+3/2'], ['x, y, z', '-x+3/2, y, -z+5/2'], ['x, y, z', '-x+3/2, -y+1/2, z'], ['x, y, z', '-x+5/2, -y+1/2, z'], ['x, y, z', '-x+3/2, y, -z+5/2'], ['x, y, z', '-x+5/2, y, -z+5/2'], ['x, y, z', 'x, -y+1/2, -z+5/2'], ['x, y, z', 'x, -y+1/2, -z+3/2'], ['x, y, z', '-x+3/2, -y+1/2, z'], ['x, y, z', '-x+3/2, -y+3/2, z'], ['x, y, z', 'x, -y+3/2, -z+1/2'], ['x, y, z', 'x, -y+5/2, -z+1/2'], ['x, y, z', '-x+3/2, y, -z+1/2'], ['x, y, z', '-x+3/2, y, -z+3/2'], ['x, y, z', '-x+3/2, -y+3/2, z'], ['x, y, z', '-x+5/2, -y+3/2, z'], ['x, y, z', '-x+3/2, y, -z+3/2'], ['x, y, z', '-x+5/2, y, -z+3/2'], ['x, y, z', 'x, -y+3/2, -z+3/2'], ['x, y, z', 'x, -y+3/2, -z+1/2'], ['x, y, z', '-x+3/2, -y+3/2, z'], ['x, y, z', '-x+3/2, -y+5/2, z']], [['x, y, z', '-x+1, z, y'], ['x, y, z', '-x+1, -z, -y'], ['x, y, z', '-x+1, -z, -y'], ['x, y, z', '-x+1, z, y'], ['x, y, z', 'z, -y+1, x'], ['x, y, z', '-z, -y+1, -x'], ['x, y, z', '-z, -y+1, -x'], ['x, y, z', 'z, -y+1, x'], ['x, y, z', 'y, x, -z+1'], ['x, y, z', '-y, -x, -z+1'], ['x, y, z', '-y, -x, -z+1'], ['x, y, z', 'y, x, -z+1'], ['x, y, z', '-x+1, z, y'], ['x, y, z', '-x+1, -z+1, -y+1'], ['x, y, z', '-x+1, -z+1, -y+1'], ['x, y, z', '-x+1, z, y'], ['x, y, z', 'z-1/2, -y+2, x+1/2'], ['x, y, z', '-z+1/2, -y+2, -x+1/2'], ['x, y, z', '-z+1/2, -y+2, -x+1/2'], ['x, y, z', 'z-1/2, -y+2, x+1/2'], ['x, y, z', 'y-1/2, x+1/2, -z+2'], ['x, y, z', '-y+1/2, -x+1/2, -z+2'], ['x, y, z', '-y+1/2, -x+1/2, -z+2'], ['x, y, z', 'y-1/2, x+1/2, -z+2'], ['x, y, z', '-x+2, z-1/2, y+1/2'], ['x, y, z', '-x+2, -z+1/2, -y+1/2'], ['x, y, z', '-x+2, -z+1/2, -y+1/2'], ['x, y, z', '-x+2, z-1/2, y+1/2'], ['x, y, z', 'z, -y+1, x'], ['x, y, z', '-z+1, -y+1, -x+1'], ['x, y, z', '-z+1, -y+1, -x+1'], ['x, y, z', 'z, -y+1, x'], ['x, y, z', 'y+1/2, x-1/2, -z+2'], ['x, y, z', '-y+1/2, -x+1/2, -z+2'], ['x, y, z', '-y+1/2, -x+1/2, -z+2'], ['x, y, z', 'y+1/2, x-1/2, -z+2'], ['x, y, z', '-x+2, z+1/2, y-1/2'], ['x, y, z', '-x+2, -z+1/2, -y+1/2'], ['x, y, z', '-x+2, -z+1/2, -y+1/2'], ['x, y, z', '-x+2, z+1/2, y-1/2'], ['x, y, z', 'z+1/2, -y+2, x-1/2'], ['x, y, z', '-z+1/2, -y+2, -x+1/2'], ['x, y, z', '-z+1/2, -y+2, -x+1/2'], ['x, y, z', 'z+1/2, -y+2, x-1/2'], ['x, y, z', 'y, x, -z+1'], ['x, y, z', '-y+1, -x+1, -z+1'], ['x, y, z', '-y+1, -x+1, -z+1'], ['x, y, z', 'y, x, -z+1']], [['x, y, z', '-x, z, y'], ['x, y, z', '-x, -z, -y'], ['x, y, z', '-x, -z, -y'], ['x, y, z', '-x, z, y'], ['x, y, z', 'z, -y, x'], ['x, y, z', '-z, -y, -x'], ['x, y, z', '-z, -y, -x'], ['x, y, z', 'z, -y, x'], ['x, y, z', 'y, x, -z'], ['x, y, z', '-y, -x, -z'], ['x, y, z', '-y, -x, -z'], ['x, y, z', 'y, x, -z'], ['x, y, z', '-x, z, y'], ['x, y, z', '-x, -z+1, -y+1'], ['x, y, z', '-x, -z+1, -y+1'], ['x, y, z', '-x, z, y'], ['x, y, z', 'z-1/2, -y+1, x+1/2'], ['x, y, z', '-z+1/2, -y+1, -x+1/2'], ['x, y, z', '-z+1/2, -y+1, -x+1/2'], ['x, y, z', 'z-1/2, -y+1, x+1/2'], ['x, y, z', 'y-1/2, x+1/2, -z+1'], ['x, y, z', '-y+1/2, -x+1/2, -z+1'], ['x, y, z', '-y+1/2, -x+1/2, -z+1'], ['x, y, z', 'y-1/2, x+1/2, -z+1'], ['x, y, z', '-x+1, z-1/2, y+1/2'], ['x, y, z', '-x+1, -z+1/2, -y+1/2'], ['x, y, z', '-x+1, -z+1/2, -y+1/2'], ['x, y, z', '-x+1, z-1/2, y+1/2'], ['x, y, z', 'z, -y, x'], ['x, y, z', '-z+1, -y, -x+1'], ['x, y, z', '-z+1, -y, -x+1'], ['x, y, z', 'z, -y, x'], ['x, y, z', 'y+1/2, x-1/2, -z+1'], ['x, y, z', '-y+1/2, -x+1/2, -z+1'], ['x, y, z', '-y+1/2, -x+1/2, -z+1'], ['x, y, z', 'y+1/2, x-1/2, -z+1'], ['x, y, z', '-x+1, z+1/2, y-1/2'], ['x, y, z', '-x+1, -z+1/2, -y+1/2'], ['x, y, z', '-x+1, -z+1/2, -y+1/2'], ['x, y, z', '-x+1, z+1/2, y-1/2'], ['x, y, z', 'z+1/2, -y+1, x-1/2'], ['x, y, z', '-z+1/2, -y+1, -x+1/2'], ['x, y, z', '-z+1/2, -y+1, -x+1/2'], ['x, y, z', 'z+1/2, -y+1, x-1/2'], ['x, y, z', 'y, x, -z'], ['x, y, z', '-y+1, -x+1, -z'], ['x, y, z', '-y+1, -x+1, -z'], ['x, y, z', 'y, x, -z']], [['x, y, z', 'z, x, y', 'y, z, x'], ['x, y, z', '-z, x, -y', 'y, -z, -x'], ['x, y, z', 'z, -x, -y', '-y, -z, x'], ['x, y, z', '-z, -x, y', '-y, z, -x'], ['x, y, z', '-z, x, -y', 'y, -z, -x'], ['x, y, z', 'z, x, y', 'y, z, x'], ['x, y, z', 'z, -x, -y', '-y, -z, x'], ['x, y, z', '-z, -x, y', '-y, z, -x'], ['x, y, z', 'y-1/2, z, x+1/2', 'z-1/2, x+1/2, y'], ['x, y, z', 'y-1/2, -z+1, -x+1/2', '-z+1/2, x+1/2, -y+1'], ['x, y, z', '-y+1/2, -z+1, x+1/2', 'z-1/2, -x+1/2, -y+1'], ['x, y, z', '-y+1/2, z, -x+1/2', '-z+1/2, -x+1/2, y'], ['x, y, z', 'y-1/2, -z+1, -x+1/2', '-z+1/2, x+1/2, -y+1'], ['x, y, z', 'y-1/2, z, x+1/2', 'z-1/2, x+1/2, y'], ['x, y, z', '-y+1/2, -z+1, x+1/2', 'z-1/2, -x+1/2, -y+1'], ['x, y, z', '-y+1/2, z, -x+1/2', '-z+1/2, -x+1/2, y'], ['x, y, z', 'z, x-1/2, y+1/2', 'y+1/2, z-1/2, x'], ['x, y, z', '-z+1, x-1/2, -y+1/2', 'y+1/2, -z+1/2, -x+1'], ['x, y, z', 'z, -x+1/2, -y+1/2', '-y+1/2, -z+1/2, x'], ['x, y, z', '-z+1, -x+1/2, y+1/2', '-y+1/2, z-1/2, -x+1'], ['x, y, z', '-z+1, x-1/2, -y+1/2', 'y+1/2, -z+1/2, -x+1'], ['x, y, z', 'z, x-1/2, y+1/2', 'y+1/2, z-1/2, x'], ['x, y, z', 'z, -x+1/2, -y+1/2', '-y+1/2, -z+1/2, x'], ['x, y, z', '-z+1, -x+1/2, y+1/2', '-y+1/2, z-1/2, -x+1'], ['x, y, z', 'y, z+1/2, x-1/2', 'z+1/2, x, y-1/2'], ['x, y, z', 'y, -z+1/2, -x+1/2', '-z+1/2, x, -y+1/2'], ['x, y, z', '-y+1, -z+1/2, x-1/2', 'z+1/2, -x+1, -y+1/2'], ['x, y, z', '-y+1, z+1/2, -x+1/2', '-z+1/2, -x+1, y-1/2'], ['x, y, z', 'y, -z+1/2, -x+1/2', '-z+1/2, x, -y+1/2'], ['x, y, z', 'y, z+1/2, x-1/2', 'z+1/2, x, y-1/2'], ['x, y, z', '-y+1, -z+1/2, x-1/2', 'z+1/2, -x+1, -y+1/2'], ['x, y, z', '-y+1, z+1/2, -x+1/2', '-z+1/2, -x+1, y-1/2']], [['x, y, z', 'x, -y, -z', 'x, z, -y', 'x, -z, y'], ['x, y, z', 'x, -y, -z', 'x, z, -y', 'x, -z, y'], ['x, y, z', '-x, y, -z', 'z, y, -x', '-z, y, x'], ['x, y, z', '-x, y, -z', 'z, y, -x', '-z, y, x'], ['x, y, z', '-x, -y, z', 'y, -x, z', '-y, x, z'], ['x, y, z', '-x, -y, z', 'y, -x, z', '-y, x, z'], ['x, y, z', 'x, -y+1, -z+1', 'x, z, -y+1', 'x, -z+1, y'], ['x, y, z', 'x, -y+1, -z+1', 'x, z, -y+1', 'x, -z+1, y'], ['x, y, z', '-x, y, -z+1', 'z-1/2, y, -x+1/2', '-z+1/2, y, x+1/2'], ['x, y, z', '-x, y, -z+1', 'z-1/2, y, -x+1/2', '-z+1/2, y, x+1/2'], ['x, y, z', '-x, -y+1, z', 'y-1/2, -x+1/2, z', '-y+1/2, x+1/2, z'], ['x, y, z', '-x, -y+1, z', 'y-1/2, -x+1/2, z', '-y+1/2, x+1/2, z'], ['x, y, z', 'x, -y, -z+1', 'x, z-1/2, -y+1/2', 'x, -z+1/2, y+1/2'], ['x, y, z', 'x, -y, -z+1', 'x, z-1/2, -y+1/2', 'x, -z+1/2, y+1/2'], ['x, y, z', '-x+1, y, -z+1', 'z, y, -x+1', '-z+1, y, x'], ['x, y, z', '-x+1, y, -z+1', 'z, y, -x+1', '-z+1, y, x'], ['x, y, z', '-x+1, -y, z', 'y+1/2, -x+1/2, z', '-y+1/2, x-1/2, z'], ['x, y, z', '-x+1, -y, z', 'y+1/2, -x+1/2, z', '-y+1/2, x-1/2, z'], ['x, y, z', 'x, -y+1, -z', 'x, z+1/2, -y+1/2', 'x, -z+1/2, y-1/2'], ['x, y, z', 'x, -y+1, -z', 'x, z+1/2, -y+1/2', 'x, -z+1/2, y-1/2'], ['x, y, z', '-x+1, y, -z', 'z+1/2, y, -x+1/2', '-z+1/2, y, x-1/2'], ['x, y, z', '-x+1, y, -z', 'z+1/2, y, -x+1/2', '-z+1/2, y, x-1/2'], ['x, y, z', '-x+1, -y+1, z', 'y, -x+1, z', '-y+1, x, z'], ['x, y, z', '-x+1, -y+1, z', 'y, -x+1, z', '-y+1, x, z']], [['x, y, z', '-x, z, y', 'x, -y+1/2, -z+1/2', '-x, -z+1/2, -y+1/2'], ['x, y, z', '-x, -z+1, -y+1', 'x, -y+3/2, -z+1/2', '-x, z+1/2, y-1/2'], ['x, y, z', 'z, -y, x', '-x+1/2, y, -z+1/2', '-z+1/2, -y, -x+1/2'], ['x, y, z', '-z+1, -y, -x+1', '-x+1/2, y, -z+3/2', 'z-1/2, -y, x+1/2'], ['x, y, z', 'y, x, -z', '-x+1/2, -y+1/2, z', '-y+1/2, -x+1/2, -z'], ['x, y, z', '-y+1, -x+1, -z', '-x+3/2, -y+1/2, z', 'y+1/2, x-1/2, -z'], ['x, y, z', '-x, z, y', 'x, -y+3/2, -z+3/2', '-x, -z+3/2, -y+3/2'], ['x, y, z', '-x, -z+2, -y+2', 'x, -y+5/2, -z+3/2', '-x, z+1/2, y-1/2'], ['x, y, z', '-z+1, -y+1, -x+1', '-x+1/2, y, -z+3/2', 'z-1/2, -y+1, x+1/2'], ['x, y, z', 'z-1, -y+1, x+1', '-x+1/2, y, -z+5/2', '-z+3/2, -y+1, -x+3/2'], ['x, y, z', '-y+1, -x+1, -z+1', '-x+1/2, -y+3/2, z', 'y-1/2, x+1/2, -z+1'], ['x, y, z', 'y, x, -z+1', '-x+3/2, -y+3/2, z', '-y+3/2, -x+3/2, -z+1'], ['x, y, z', '-x+1, -z+1, -y+1', 'x, -y+1/2, -z+3/2', '-x+1, z-1/2, y+1/2'], ['x, y, z', '-x+1, z, y', 'x, -y+3/2, -z+3/2', '-x+1, -z+3/2, -y+3/2'], ['x, y, z', 'z, -y, x', '-x+3/2, y, -z+3/2', '-z+3/2, -y, -x+3/2'], ['x, y, z', '-z+2, -y, -x+2', '-x+3/2, y, -z+5/2', 'z-1/2, -y, x+1/2'], ['x, y, z', '-y+1, -x+1, -z+1', '-x+3/2, -y+1/2, z', 'y+1/2, x-1/2, -z+1'], ['x, y, z', 'y+1, x-1, -z+1', '-x+5/2, -y+1/2, z', '-y+3/2, -x+3/2, -z+1'], ['x, y, z', '-x+1, -z+1, -y+1', 'x, -y+3/2, -z+1/2', '-x+1, z+1/2, y-1/2'], ['x, y, z', '-x+1, z+1, y-1', 'x, -y+5/2, -z+1/2', '-x+1, -z+3/2, -y+3/2'], ['x, y, z', '-z+1, -y+1, -x+1', '-x+3/2, y, -z+1/2', 'z+1/2, -y+1, x-1/2'], ['x, y, z', 'z, -y+1, x', '-x+3/2, y, -z+3/2', '-z+3/2, -y+1, -x+3/2'], ['x, y, z', 'y, x, -z', '-x+3/2, -y+3/2, z', '-y+3/2, -x+3/2, -z'], ['x, y, z', '-y+2, -x+2, -z', '-x+5/2, -y+3/2, z', 'y+1/2, x-1/2, -z']], [['x, y, z', 'z, x, y', 'y, z, x', 'x, -y+1/2, -z+1/2', 'z, -x+1/2, -y+1/2', 'y, -z+1/2, -x+1/2', '-x+1/2, y, -z+1/2', '-z+1/2, x, -y+1/2', '-y+1/2, z, -x+1/2', '-x+1/2, -y+1/2, z', '-z+1/2, -x+1/2, y', '-y+1/2, -z+1/2, x'], ['x, y, z', '-z+1, x, -y+1', 'y, -z+1, -x+1', 'x, -y+1/2, -z+3/2', '-z+1, -x+1/2, y+1/2', 'y, z-1/2, x+1/2', '-x+1/2, y, -z+3/2', 'z-1/2, x, y+1/2', '-y+1/2, -z+1, x+1/2', '-x+1/2, -y+1/2, z', 'z-1/2, -x+1/2, -y+1', '-y+1/2, z-1/2, -x+1'], ['x, y, z', '-z+1, -x+1, y', '-y+1, z, -x+1', 'x, -y+3/2, -z+3/2', '-z+1, x+1/2, -y+3/2', '-y+1, -z+3/2, x+1/2', '-x+1/2, y, -z+3/2', 'z-1/2, -x+1, -y+3/2', 'y-1/2, z, x+1/2', '-x+1/2, -y+3/2, z', 'z-1/2, x+1/2, y', 'y-1/2, -z+3/2, -x+1'], ['x, y, z', 'z-1, -x+1, -y+2', '-y+1, -z+2, x+1', 'x, -y+3/2, -z+5/2', 'z-1, x+1/2, y+1/2', '-y+1, z-1/2, -x+3/2', '-x+1/2, y, -z+5/2', '-z+3/2, -x+1, y+1/2', 'y-1/2, -z+2, -x+3/2', '-x+1/2, -y+3/2, z', '-z+3/2, x+1/2, -y+2', 'y-1/2, z-1/2, x+1'], ['x, y, z', 'z, -x+1, -y+1', '-y+1, -z+1, x', 'x, -y+1/2, -z+3/2', 'z, x-1/2, y+1/2', '-y+1, z-1/2, -x+3/2', '-x+3/2, y, -z+3/2', '-z+3/2, -x+1, y+1/2', 'y+1/2, -z+1, -x+3/2', '-x+3/2, -y+1/2, z', '-z+3/2, x-1/2, -y+1', 'y+1/2, z-1/2, x'], ['x, y, z', '-z+2, -x+1, y+1', '-y+1, z-1, -x+2', 'x, -y+1/2, -z+5/2', '-z+2, x-1/2, -y+3/2', '-y+1, -z+3/2, x+1/2', '-x+3/2, y, -z+5/2', 'z-1/2, -x+1, -y+3/2', 'y+1/2, z-1, x+1/2', '-x+3/2, -y+1/2, z', 'z-1/2, x-1/2, y+1', 'y+1/2, -z+3/2, -x+2'], ['x, y, z', '-z+1, x, -y+1', 'y, -z+1, -x+1', 'x, -y+3/2, -z+1/2', '-z+1, -x+3/2, y-1/2', 'y, z+1/2, x-1/2', '-x+3/2, y, -z+1/2', 'z+1/2, x, y-1/2', '-y+3/2, -z+1, x-1/2', '-x+3/2, -y+3/2, z', 'z+1/2, -x+3/2, -y+1', '-y+3/2, z+1/2, -x+1'], ['x, y, z', 'z, x, y', 'y, z, x', 'x, -y+3/2, -z+3/2', 'z, -x+3/2, -y+3/2', 'y, -z+3/2, -x+3/2', '-x+3/2, y, -z+3/2', '-z+3/2, x, -y+3/2', '-y+3/2, z, -x+3/2', '-x+3/2, -y+3/2, z', '-z+3/2, -x+3/2, y', '-y+3/2, -z+3/2, x']], [['x, y, z', '-x+1, -y+1, z', '-x+1, y, -z+1', 'x, -y+1, -z+1', 'z, x, y', 'z, -x+1, -y+1', '-z+1, -x+1, y', '-z+1, x, -y+1', 'y, z, x', '-y+1, z, -x+1', 'y, -z+1, -x+1', '-y+1, -z+1, x', 'y, x, -z+1', '-y+1, -x+1, -z+1', 'y, -x+1, z', '-y+1, x, z', 'x, z, -y+1', '-x+1, z, y', '-x+1, -z+1, -y+1', 'x, -z+1, y', 'z, y, -x+1', 'z, -y+1, x', '-z+1, y, x', '-z+1, -y+1, -x+1'], ['x, y, z', '-x+1, -y+2, z', '-x+1, y, -z+2', 'x, -y+2, -z+2', 'x, z, -y+2', '-x+1, z, y', '-x+1, -z+2, -y+2', 'x, -z+2, y', 'y-1/2, z, x+1/2', '-y+3/2, z, -x+3/2', 'y-1/2, -z+2, -x+3/2', '-y+3/2, -z+2, x+1/2', 'z-1/2, y, -x+3/2', 'z-1/2, -y+2, x+1/2', '-z+3/2, y, x+1/2', '-z+3/2, -y+2, -x+3/2', 'z-1/2, x+1/2, y', 'z-1/2, -x+3/2, -y+2', '-z+3/2, -x+3/2, y', '-z+3/2, x+1/2, -y+2', 'y-1/2, x+1/2, -z+2', '-y+3/2, -x+3/2, -z+2', 'y-1/2, -x+3/2, z', '-y+3/2, x+1/2, z'], ['x, y, z', '-x+2, -y+1, z', '-x+2, y, -z+2', 'x, -y+1, -z+2', 'z, y, -x+2', 'z, -y+1, x', '-z+2, y, x', '-z+2, -y+1, -x+2', 'z, x-1/2, y+1/2', 'z, -x+3/2, -y+3/2', '-z+2, -x+3/2, y+1/2', '-z+2, x-1/2, -y+3/2', 'x, z-1/2, -y+3/2', '-x+2, z-1/2, y+1/2', '-x+2, -z+3/2, -y+3/2', 'x, -z+3/2, y+1/2', 'y+1/2, z-1/2, x', '-y+3/2, z-1/2, -x+2', 'y+1/2, -z+3/2, -x+2', '-y+3/2, -z+3/2, x', 'y+1/2, x-1/2, -z+2', '-y+3/2, -x+3/2, -z+2', 'y+1/2, -x+3/2, z', '-y+3/2, x-1/2, z'], ['x, y, z', '-x+2, -y+2, z', '-x+2, y, -z+1', 'x, -y+2, -z+1', 'y, x, -z+1', '-y+2, -x+2, -z+1', 'y, -x+2, z', '-y+2, x, z', 'y, z+1/2, x-1/2', '-y+2, z+1/2, -x+3/2', 'y, -z+3/2, -x+3/2', '-y+2, -z+3/2, x-1/2', 'x, z+1/2, -y+3/2', '-x+2, z+1/2, y-1/2', '-x+2, -z+3/2, -y+3/2', 'x, -z+3/2, y-1/2', 'z+1/2, x, y-1/2', 'z+1/2, -x+2, -y+3/2', '-z+3/2, -x+2, y-1/2', '-z+3/2, x, -y+3/2', 'z+1/2, y, -x+3/2', 'z+1/2, -y+2, x-1/2', '-z+3/2, y, x-1/2', '-z+3/2, -y+2, -x+3/2']], [['x, y, z', '-x, -y, z', '-x, y, -z', 'x, -y, -z', 'z, x, y', 'z, -x, -y', '-z, -x, y', '-z, x, -y', 'y, z, x', '-y, z, -x', 'y, -z, -x', '-y, -z, x', 'y, x, -z', '-y, -x, -z', 'y, -x, z', '-y, x, z', 'x, z, -y', '-x, z, y', '-x, -z, -y', 'x, -z, y', 'z, y, -x', 'z, -y, x', '-z, y, x', '-z, -y, -x'], ['x, y, z', '-x, -y+1, z', '-x, y, -z+1', 'x, -y+1, -z+1', 'x, z, -y+1', '-x, z, y', '-x, -z+1, -y+1', 'x, -z+1, y', 'y-1/2, z, x+1/2', '-y+1/2, z, -x+1/2', 'y-1/2, -z+1, -x+1/2', '-y+1/2, -z+1, x+1/2', 'z-1/2, y, -x+1/2', 'z-1/2, -y+1, x+1/2', '-z+1/2, y, x+1/2', '-z+1/2, -y+1, -x+1/2', 'z-1/2, x+1/2, y', 'z-1/2, -x+1/2, -y+1', '-z+1/2, -x+1/2, y', '-z+1/2, x+1/2, -y+1', 'y-1/2, x+1/2, -z+1', '-y+1/2, -x+1/2, -z+1', 'y-1/2, -x+1/2, z', '-y+1/2, x+1/2, z'], ['x, y, z', '-x+1, -y, z', '-x+1, y, -z+1', 'x, -y, -z+1', 'z, y, -x+1', 'z, -y, x', '-z+1, y, x', '-z+1, -y, -x+1', 'z, x-1/2, y+1/2', 'z, -x+1/2, -y+1/2', '-z+1, -x+1/2, y+1/2', '-z+1, x-1/2, -y+1/2', 'x, z-1/2, -y+1/2', '-x+1, z-1/2, y+1/2', '-x+1, -z+1/2, -y+1/2', 'x, -z+1/2, y+1/2', 'y+1/2, z-1/2, x', '-y+1/2, z-1/2, -x+1', 'y+1/2, -z+1/2, -x+1', '-y+1/2, -z+1/2, x', 'y+1/2, x-1/2, -z+1', '-y+1/2, -x+1/2, -z+1', 'y+1/2, -x+1/2, z', '-y+1/2, x-1/2, z'], ['x, y, z', '-x+1, -y+1, z', '-x+1, y, -z', 'x, -y+1, -z', 'y, x, -z', '-y+1, -x+1, -z', 'y, -x+1, z', '-y+1, x, z', 'y, z+1/2, x-1/2', '-y+1, z+1/2, -x+1/2', 'y, -z+1/2, -x+1/2', '-y+1, -z+1/2, x-1/2', 'x, z+1/2, -y+1/2', '-x+1, z+1/2, y-1/2', '-x+1, -z+1/2, -y+1/2', 'x, -z+1/2, y-1/2', 'z+1/2, x, y-1/2', 'z+1/2, -x+1, -y+1/2', '-z+1/2, -x+1, y-1/2', '-z+1/2, x, -y+1/2', 'z+1/2, y, -x+1/2', 'z+1/2, -y+1, x-1/2', '-z+1/2, y, x-1/2', '-z+1/2, -y+1, -x+1/2']]]\"\n210,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-x+1/4, -z+1/4, -y+1/4'], ['x, y, z', '-x+7/4, z-1/4, y+1/4'], ['x, y, z', '-x+3/4, z-1/4, y+1/4'], ['x, y, z', '-x+5/4, -z+1/4, -y+1/4'], ['x, y, z', '-z+1/4, -y+1/4, -x+1/4'], ['x, y, z', 'z+1/4, -y+7/4, x-1/4'], ['x, y, z', 'z+1/4, -y+3/4, x-1/4'], ['x, y, z', '-z+1/4, -y+5/4, -x+1/4'], ['x, y, z', '-y+1/4, -x+1/4, -z+1/4'], ['x, y, z', 'y-1/4, x+1/4, -z+7/4'], ['x, y, z', 'y-1/4, x+1/4, -z+3/4'], ['x, y, z', '-y+1/4, -x+1/4, -z+5/4'], ['x, y, z', '-x+1/4, -z+5/4, -y+5/4'], ['x, y, z', '-x+7/4, z-1/4, y+1/4'], ['x, y, z', '-x+3/4, z-1/4, y+1/4'], ['x, y, z', '-x+5/4, -z+5/4, -y+5/4'], ['x, y, z', '-z+3/4, -y+5/4, -x+3/4'], ['x, y, z', 'z-1/4, -y+11/4, x+1/4'], ['x, y, z', 'z-1/4, -y+7/4, x+1/4'], ['x, y, z', '-z+3/4, -y+9/4, -x+3/4'], ['x, y, z', '-y+3/4, -x+3/4, -z+5/4'], ['x, y, z', 'y-3/4, x+3/4, -z+11/4'], ['x, y, z', 'y-3/4, x+3/4, -z+7/4'], ['x, y, z', '-y+3/4, -x+3/4, -z+9/4'], ['x, y, z', '-x+5/4, -z+3/4, -y+3/4'], ['x, y, z', '-x+11/4, z-3/4, y+3/4'], ['x, y, z', '-x+7/4, z-3/4, y+3/4'], ['x, y, z', '-x+9/4, -z+3/4, -y+3/4'], ['x, y, z', '-z+5/4, -y+1/4, -x+5/4'], ['x, y, z', 'z+1/4, -y+7/4, x-1/4'], ['x, y, z', 'z+1/4, -y+3/4, x-1/4'], ['x, y, z', '-z+5/4, -y+5/4, -x+5/4'], ['x, y, z', '-y+3/4, -x+3/4, -z+5/4'], ['x, y, z', 'y+1/4, x-1/4, -z+11/4'], ['x, y, z', 'y+1/4, x-1/4, -z+7/4'], ['x, y, z', '-y+3/4, -x+3/4, -z+9/4'], ['x, y, z', '-x+5/4, -z+3/4, -y+3/4'], ['x, y, z', '-x+11/4, z+1/4, y-1/4'], ['x, y, z', '-x+7/4, z+1/4, y-1/4'], ['x, y, z', '-x+9/4, -z+3/4, -y+3/4'], ['x, y, z', '-z+3/4, -y+5/4, -x+3/4'], ['x, y, z', 'z+3/4, -y+11/4, x-3/4'], ['x, y, z', 'z+3/4, -y+7/4, x-3/4'], ['x, y, z', '-z+3/4, -y+9/4, -x+3/4'], ['x, y, z', '-y+5/4, -x+5/4, -z+1/4'], ['x, y, z', 'y-1/4, x+1/4, -z+7/4'], ['x, y, z', 'y-1/4, x+1/4, -z+3/4'], ['x, y, z', '-y+5/4, -x+5/4, -z+5/4']], [['x, y, z', 'x, -y, -z'], ['x, y, z', 'x, -y+1, -z+1'], ['x, y, z', '-x, y, -z'], ['x, y, z', '-x+1, y, -z+1'], ['x, y, z', '-x, -y, z'], ['x, y, z', '-x+1, -y+1, z'], ['x, y, z', '-x+3/2, y, -z+3/2'], ['x, y, z', '-x+1/2, y, -z+1/2'], ['x, y, z', 'x, -y+1/2, -z+3/2'], ['x, y, z', 'x, -y+3/2, -z+1/2'], ['x, y, z', '-x+3/2, -y+1/2, z'], ['x, y, z', '-x+1/2, -y+3/2, z'], ['x, y, z', 'x, -y+1, -z+1'], ['x, y, z', 'x, -y+2, -z+2'], ['x, y, z', '-x, y, -z+1'], ['x, y, z', '-x+1, y, -z+2'], ['x, y, z', '-x, -y+1, z'], ['x, y, z', '-x+1, -y+2, z'], ['x, y, z', '-x+3/2, y, -z+5/2'], ['x, y, z', '-x+1/2, y, -z+3/2'], ['x, y, z', 'x, -y+3/2, -z+5/2'], ['x, y, z', 'x, -y+5/2, -z+3/2'], ['x, y, z', '-x+3/2, -y+3/2, z'], ['x, y, z', '-x+1/2, -y+5/2, z'], ['x, y, z', 'x, -y, -z+1'], ['x, y, z', 'x, -y+1, -z+2'], ['x, y, z', '-x+1, y, -z+1'], ['x, y, z', '-x+2, y, -z+2'], ['x, y, z', '-x+1, -y, z'], ['x, y, z', '-x+2, -y+1, z'], ['x, y, z', '-x+5/2, y, -z+5/2'], ['x, y, z', '-x+3/2, y, -z+3/2'], ['x, y, z', 'x, -y+1/2, -z+5/2'], ['x, y, z', 'x, -y+3/2, -z+3/2'], ['x, y, z', '-x+5/2, -y+1/2, z'], ['x, y, z', '-x+3/2, -y+3/2, z'], ['x, y, z', 'x, -y+1, -z'], ['x, y, z', 'x, -y+2, -z+1'], ['x, y, z', '-x+1, y, -z'], ['x, y, z', '-x+2, y, -z+1'], ['x, y, z', '-x+1, -y+1, z'], ['x, y, z', '-x+2, -y+2, z'], ['x, y, z', '-x+5/2, y, -z+3/2'], ['x, y, z', '-x+3/2, y, -z+1/2'], ['x, y, z', 'x, -y+3/2, -z+3/2'], ['x, y, z', 'x, -y+5/2, -z+1/2'], ['x, y, z', '-x+5/2, -y+3/2, z'], ['x, y, z', '-x+3/2, -y+5/2, z']], [['x, y, z', 'z, x, y', 'y, z, x'], ['x, y, z', '-z+1/2, x+1/2, -y+1', 'y-1/2, -z+1, -x+1/2'], ['x, y, z', 'z+1/2, -x+1, -y+1/2', '-y+1, -z+1/2, x-1/2'], ['x, y, z', '-z+1, -x+1/2, y+1/2', '-y+1/2, z-1/2, -x+1'], ['x, y, z', '-z+3/2, x-1/2, -y+1', 'y+1/2, -z+1, -x+3/2'], ['x, y, z', 'z, x, y', 'y, z, x'], ['x, y, z', 'z-1/2, -x+1, -y+3/2', '-y+1, -z+3/2, x+1/2'], ['x, y, z', '-z+1, -x+3/2, y-1/2', '-y+3/2, z+1/2, -x+1'], ['x, y, z', 'y-1/2, z, x+1/2', 'z-1/2, x+1/2, y'], ['x, y, z', 'y-1, -z+2, -x+1', '-z+1, x+1, -y+2'], ['x, y, z', '-y+3/2, -z+3/2, x', 'z, -x+3/2, -y+3/2'], ['x, y, z', '-y+1, z-1/2, -x+3/2', '-z+3/2, -x+1, y+1/2'], ['x, y, z', 'y, -z+2, -x+2', '-z+2, x, -y+2'], ['x, y, z', 'y-1/2, z, x+1/2', 'z-1/2, x+1/2, y'], ['x, y, z', '-y+3/2, -z+5/2, x+1', 'z-1, -x+3/2, -y+5/2'], ['x, y, z', '-y+2, z+1/2, -x+3/2', '-z+3/2, -x+2, y-1/2'], ['x, y, z', 'z, x-1/2, y+1/2', 'y+1/2, z-1/2, x'], ['x, y, z', '-z+3/2, x, -y+3/2', 'y, -z+3/2, -x+3/2'], ['x, y, z', 'z+1/2, -x+3/2, -y+1', '-y+3/2, -z+1, x-1/2'], ['x, y, z', '-z+2, -x+1, y+1', '-y+1, z-1, -x+2'], ['x, y, z', '-z+5/2, x-1, -y+3/2', 'y+1, -z+3/2, -x+5/2'], ['x, y, z', 'z, x-1/2, y+1/2', 'y+1/2, z-1/2, x'], ['x, y, z', 'z-1/2, -x+3/2, -y+2', '-y+3/2, -z+2, x+1/2'], ['x, y, z', '-z+2, -x+2, y', '-y+2, z, -x+2'], ['x, y, z', 'y, z+1/2, x-1/2', 'z+1/2, x, y-1/2'], ['x, y, z', 'y-1/2, -z+3/2, -x+1', '-z+1, x+1/2, -y+3/2'], ['x, y, z', '-y+2, -z+1, x-1', 'z+1, -x+2, -y+1'], ['x, y, z', '-y+3/2, z, -x+3/2', '-z+3/2, -x+3/2, y'], ['x, y, z', 'y+1/2, -z+3/2, -x+2', '-z+2, x-1/2, -y+3/2'], ['x, y, z', 'y, z+1/2, x-1/2', 'z+1/2, x, y-1/2'], ['x, y, z', '-y+2, -z+2, x', 'z, -x+2, -y+2'], ['x, y, z', '-y+5/2, z+1, -x+3/2', '-z+3/2, -x+5/2, y-1']], [['x, y, z', 'z, x, y', 'y, z, x', '-y+5/4, -x+5/4, -z+5/4', '-x+5/4, -z+5/4, -y+5/4', '-z+5/4, -y+5/4, -x+5/4'], ['x, y, z', '-z+1/2, x+1/2, -y+1', 'y-1/2, -z+1, -x+1/2', '-y+5/4, -x+5/4, -z+1/4', '-x+3/4, z+3/4, y-3/4', 'z+1/4, -y+7/4, x-1/4'], ['x, y, z', 'z+1/2, -x+1, -y+1/2', '-y+1, -z+1/2, x-1/2', 'y+3/4, x-3/4, -z+3/4', '-x+7/4, z-1/4, y+1/4', '-z+5/4, -y+1/4, -x+5/4'], ['x, y, z', '-z+1, -x+1/2, y+1/2', '-y+1/2, z-1/2, -x+1', 'y-1/4, x+1/4, -z+7/4', '-x+1/4, -z+5/4, -y+5/4', 'z-3/4, -y+3/4, x+3/4'], ['x, y, z', '-x+5/4, -z+9/4, -y+9/4', 'y-1/2, z, x+1/2', '-z+7/4, -y+9/4, -x+7/4', 'z-1/2, x+1/2, y', '-y+7/4, -x+7/4, -z+9/4'], ['x, y, z', '-x+3/4, z+3/4, y-3/4', 'y-1, -z+2, -x+1', 'z-1/4, -y+11/4, x+1/4', '-z+1, x+1, -y+2', '-y+7/4, -x+7/4, -z+5/4'], ['x, y, z', '-x+7/4, z-1/4, y+1/4', '-y+3/2, -z+3/2, x', '-z+7/4, -y+5/4, -x+7/4', 'z, -x+3/2, -y+3/2', 'y+1/4, x-1/4, -z+7/4'], ['x, y, z', '-x+1/4, -z+9/4, -y+9/4', '-y+1, z-1/2, -x+3/2', 'z-5/4, -y+7/4, x+5/4', '-z+3/2, -x+1, y+1/2', 'y-3/4, x+3/4, -z+11/4'], ['x, y, z', '-z+9/4, -y+5/4, -x+9/4', 'z, x-1/2, y+1/2', '-x+9/4, -z+7/4, -y+7/4', 'y+1/2, z-1/2, x', '-y+7/4, -x+7/4, -z+9/4'], ['x, y, z', 'z+1/4, -y+7/4, x-1/4', '-z+3/2, x, -y+3/2', '-x+7/4, z+1/4, y-1/4', 'y, -z+3/2, -x+3/2', '-y+7/4, -x+7/4, -z+5/4'], ['x, y, z', '-z+9/4, -y+1/4, -x+9/4', 'z+1/2, -x+3/2, -y+1', '-x+11/4, z-3/4, y+3/4', '-y+3/2, -z+1, x-1/2', 'y+5/4, x-5/4, -z+7/4'], ['x, y, z', 'z-3/4, -y+3/4, x+3/4', '-z+2, -x+1, y+1', '-x+5/4, -z+7/4, -y+7/4', '-y+1, z-1, -x+2', 'y+1/4, x-1/4, -z+11/4'], ['x, y, z', '-y+9/4, -x+9/4, -z+5/4', 'y, z+1/2, x-1/2', '-x+9/4, -z+7/4, -y+7/4', 'z+1/2, x, y-1/2', '-z+7/4, -y+9/4, -x+7/4'], ['x, y, z', '-y+9/4, -x+9/4, -z+1/4', 'y-1/2, -z+3/2, -x+1', '-x+7/4, z+5/4, y-5/4', '-z+1, x+1/2, -y+3/2', 'z+3/4, -y+11/4, x-3/4'], ['x, y, z', 'y+3/4, x-3/4, -z+3/4', '-y+2, -z+1, x-1', '-x+11/4, z+1/4, y-1/4', 'z+1, -x+2, -y+1', '-z+7/4, -y+5/4, -x+7/4'], ['x, y, z', 'y-1/4, x+1/4, -z+7/4', '-y+3/2, z, -x+3/2', '-x+5/4, -z+7/4, -y+7/4', '-z+3/2, -x+3/2, y', 'z-1/4, -y+7/4, x+1/4']], [['x, y, z', 'z, x, y', 'y, z, x', '-y+1/4, -x+1/4, -z+1/4', '-x+1/4, -z+1/4, -y+1/4', '-z+1/4, -y+1/4, -x+1/4'], ['x, y, z', '-z+3/2, x-1/2, -y+1', 'y+1/2, -z+1, -x+3/2', '-y+5/4, -x+5/4, -z+5/4', '-x+7/4, z-1/4, y+1/4', 'z+1/4, -y+3/4, x-1/4'], ['x, y, z', 'z-1/2, -x+1, -y+3/2', '-y+1, -z+3/2, x+1/2', 'y-1/4, x+1/4, -z+7/4', '-x+3/4, z-1/4, y+1/4', '-z+5/4, -y+5/4, -x+5/4'], ['x, y, z', '-z+1, -x+3/2, y-1/2', '-y+3/2, z+1/2, -x+1', 'y-1/4, x+1/4, -z+3/4', '-x+5/4, -z+5/4, -y+5/4', 'z+1/4, -y+7/4, x-1/4'], ['x, y, z', '-x+1/4, -z+5/4, -y+5/4', 'y-1/2, z, x+1/2', '-z+3/4, -y+5/4, -x+3/4', 'z-1/2, x+1/2, y', '-y+3/4, -x+3/4, -z+5/4'], ['x, y, z', '-x+7/4, z-1/4, y+1/4', 'y, -z+2, -x+2', 'z-1/4, -y+7/4, x+1/4', '-z+2, x, -y+2', '-y+7/4, -x+7/4, -z+9/4'], ['x, y, z', '-x+3/4, z-1/4, y+1/4', '-y+3/2, -z+5/2, x+1', '-z+7/4, -y+9/4, -x+7/4', 'z-1, -x+3/2, -y+5/2', 'y-3/4, x+3/4, -z+11/4'], ['x, y, z', '-x+5/4, -z+9/4, -y+9/4', '-y+2, z+1/2, -x+3/2', 'z-1/4, -y+11/4, x+1/4', '-z+3/2, -x+2, y-1/2', 'y-3/4, x+3/4, -z+7/4'], ['x, y, z', '-z+5/4, -y+1/4, -x+5/4', 'z, x-1/2, y+1/2', '-x+5/4, -z+3/4, -y+3/4', 'y+1/2, z-1/2, x', '-y+3/4, -x+3/4, -z+5/4'], ['x, y, z', 'z+1/4, -y+3/4, x-1/4', '-z+5/2, x-1, -y+3/2', '-x+11/4, z-3/4, y+3/4', 'y+1, -z+3/2, -x+5/2', '-y+7/4, -x+7/4, -z+9/4'], ['x, y, z', '-z+9/4, -y+5/4, -x+9/4', 'z-1/2, -x+3/2, -y+2', '-x+7/4, z-3/4, y+3/4', '-y+3/2, -z+2, x+1/2', 'y+1/4, x-1/4, -z+11/4'], ['x, y, z', 'z+1/4, -y+7/4, x-1/4', '-z+2, -x+2, y', '-x+9/4, -z+7/4, -y+7/4', '-y+2, z, -x+2', 'y+1/4, x-1/4, -z+7/4'], ['x, y, z', '-y+5/4, -x+5/4, -z+1/4', 'y, z+1/2, x-1/2', '-x+5/4, -z+3/4, -y+3/4', 'z+1/2, x, y-1/2', '-z+3/4, -y+5/4, -x+3/4'], ['x, y, z', '-y+9/4, -x+9/4, -z+5/4', 'y+1/2, -z+3/2, -x+2', '-x+11/4, z+1/4, y-1/4', '-z+2, x-1/2, -y+3/2', 'z+3/4, -y+7/4, x-3/4'], ['x, y, z', 'y-1/4, x+1/4, -z+7/4', '-y+2, -z+2, x', '-x+7/4, z+1/4, y-1/4', 'z, -x+2, -y+2', '-z+7/4, -y+9/4, -x+7/4'], ['x, y, z', 'y-1/4, x+1/4, -z+3/4', '-y+5/2, z+1, -x+3/2', '-x+9/4, -z+7/4, -y+7/4', '-z+3/2, -x+5/2, y-1', 'z+3/4, -y+11/4, x-3/4']], [['x, y, z', 'z, x, y', 'y, z, x', '-x+1, -y+1, z', '-z+1, -x+1, y', '-y+1, -z+1, x', 'x, -y+1, -z+1', 'z, -x+1, -y+1', 'y, -z+1, -x+1', '-x+1, y, -z+1', '-z+1, x, -y+1', '-y+1, z, -x+1'], ['x, y, z', '-z+1/2, x+1/2, -y+1', 'y-1/2, -z+1, -x+1/2', '-x+1/2, y, -z+1/2', 'z, x+1/2, y-1/2', '-y+1, -z+1, x', '-x+1/2, -y+3/2, z', 'z, -x+1, -y+1', '-y+1, z+1/2, -x+1/2', 'x, -y+3/2, -z+1/2', '-z+1/2, -x+1, y-1/2', 'y-1/2, z+1/2, x'], ['x, y, z', '-z+3/2, x+1/2, -y+2', 'y-1/2, -z+2, -x+3/2', '-x+1, -y+2, z', 'z-1/2, -x+3/2, -y+2', '-y+3/2, z, -x+3/2', 'x, -y+2, -z+2', '-z+3/2, -x+3/2, y', 'y-1/2, z, x+1/2', '-x+1, y, -z+2', 'z-1/2, x+1/2, y', '-y+3/2, -z+2, x+1/2'], ['x, y, z', '-z+1, -x+3/2, y-1/2', '-y+3/2, z+1/2, -x+1', '-x+1/2, y, -z+3/2', 'z-1/2, -x+3/2, -y+2', 'y-1, z+1/2, x+1/2', '-x+1/2, -y+5/2, z', 'z-1/2, x+1, y-1/2', 'y-1, -z+2, -x+1', 'x, -y+5/2, -z+3/2', '-z+1, x+1, -y+2', '-y+3/2, -z+2, x+1/2'], ['x, y, z', '-z+2, -x+3/2, y+1/2', '-y+3/2, z-1/2, -x+2', '-x+2, -y+1, z', 'z, x-1/2, y+1/2', 'y+1/2, -z+3/2, -x+2', 'x, -y+1, -z+2', '-z+2, x-1/2, -y+3/2', '-y+3/2, -z+3/2, x', '-x+2, y, -z+2', 'z, -x+3/2, -y+3/2', 'y+1/2, z-1/2, x'], ['x, y, z', 'z, x, y', 'y, z, x', '-x+3/2, y, -z+3/2', '-z+3/2, x, -y+3/2', '-y+3/2, z, -x+3/2', '-x+3/2, -y+3/2, z', '-z+3/2, -x+3/2, y', '-y+3/2, -z+3/2, x', 'x, -y+3/2, -z+3/2', 'z, -x+3/2, -y+3/2', 'y, -z+3/2, -x+3/2'], ['x, y, z', 'z+1/2, -x+2, -y+3/2', '-y+2, -z+3/2, x-1/2', '-x+2, -y+2, z', '-z+3/2, x, -y+3/2', 'y, z+1/2, x-1/2', 'x, -y+2, -z+1', 'z+1/2, x, y-1/2', '-y+2, z+1/2, -x+3/2', '-x+2, y, -z+1', '-z+3/2, -x+2, y-1/2', 'y, -z+3/2, -x+3/2'], ['x, y, z', 'z+1/2, -x+2, -y+3/2', '-y+2, -z+3/2, x-1/2', '-x+3/2, y, -z+1/2', '-z+1, -x+2, y-1', 'y-1/2, -z+3/2, -x+1', '-x+3/2, -y+5/2, z', '-z+1, x+1/2, -y+3/2', 'y-1/2, z+1, x-1/2', 'x, -y+5/2, -z+1/2', 'z+1/2, x+1/2, y-1', '-y+2, z+1, -x+1']], [['x, y, z', 'z, x, y', 'y, z, x', '-x, -y, z', '-z, -x, y', '-y, -z, x', 'x, -y, -z', 'z, -x, -y', 'y, -z, -x', '-x, y, -z', '-z, x, -y', '-y, z, -x'], ['x, y, z', '-z+3/2, x-1/2, -y+1', 'y+1/2, -z+1, -x+3/2', '-x+3/2, y, -z+3/2', 'z, x-1/2, y+1/2', '-y+1, -z+1, x', '-x+3/2, -y+1/2, z', 'z, -x+1, -y+1', '-y+1, z-1/2, -x+3/2', 'x, -y+1/2, -z+3/2', '-z+3/2, -x+1, y+1/2', 'y+1/2, z-1/2, x'], ['x, y, z', '-z+1/2, x+1/2, -y+1', 'y-1/2, -z+1, -x+1/2', '-x, -y+1, z', 'z-1/2, -x+1/2, -y+1', '-y+1/2, z, -x+1/2', 'x, -y+1, -z+1', '-z+1/2, -x+1/2, y', 'y-1/2, z, x+1/2', '-x, y, -z+1', 'z-1/2, x+1/2, y', '-y+1/2, -z+1, x+1/2'], ['x, y, z', '-z+2, -x+3/2, y+1/2', '-y+3/2, z-1/2, -x+2', '-x+3/2, y, -z+5/2', 'z-1/2, -x+3/2, -y+2', 'y, z-1/2, x+1/2', '-x+3/2, -y+3/2, z', 'z-1/2, x, y+1/2', 'y, -z+2, -x+2', 'x, -y+3/2, -z+5/2', '-z+2, x, -y+2', '-y+3/2, -z+2, x+1/2'], ['x, y, z', '-z+1, -x+1/2, y+1/2', '-y+1/2, z-1/2, -x+1', '-x+1, -y, z', 'z, x-1/2, y+1/2', 'y+1/2, -z+1/2, -x+1', 'x, -y, -z+1', '-z+1, x-1/2, -y+1/2', '-y+1/2, -z+1/2, x', '-x+1, y, -z+1', 'z, -x+1/2, -y+1/2', 'y+1/2, z-1/2, x'], ['x, y, z', 'z, x-1, y+1', 'y+1, z-1, x', '-x+5/2, y, -z+5/2', '-z+5/2, x-1, -y+3/2', '-y+3/2, z-1, -x+5/2', '-x+5/2, -y+1/2, z', '-z+5/2, -x+3/2, y+1', '-y+3/2, -z+3/2, x', 'x, -y+1/2, -z+5/2', 'z, -x+3/2, -y+3/2', 'y+1, -z+3/2, -x+5/2'], ['x, y, z', 'z+1/2, -x+1, -y+1/2', '-y+1, -z+1/2, x-1/2', '-x+1, -y+1, z', '-z+1/2, x, -y+1/2', 'y, z+1/2, x-1/2', 'x, -y+1, -z', 'z+1/2, x, y-1/2', '-y+1, z+1/2, -x+1/2', '-x+1, y, -z', '-z+1/2, -x+1, y-1/2', 'y, -z+1/2, -x+1/2'], ['x, y, z', 'z+1/2, -x+2, -y+3/2', '-y+2, -z+3/2, x-1/2', '-x+5/2, y, -z+3/2', '-z+2, -x+2, y', 'y+1/2, -z+3/2, -x+2', '-x+5/2, -y+3/2, z', '-z+2, x-1/2, -y+3/2', 'y+1/2, z, x-1/2', 'x, -y+3/2, -z+3/2', 'z+1/2, x-1/2, y', '-y+2, z, -x+2']]]\"\n211,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-x+1/2, -z+1/2, -y+1/2'], ['x, y, z', '-x+3/2, z-1/2, y+1/2'], ['x, y, z', '-x+3/2, z-1/2, y+1/2'], ['x, y, z', '-x+1/2, -z+1/2, -y+1/2'], ['x, y, z', '-z+1/2, -y+1/2, -x+1/2'], ['x, y, z', 'z+1/2, -y+3/2, x-1/2'], ['x, y, z', 'z+1/2, -y+3/2, x-1/2'], ['x, y, z', '-z+1/2, -y+1/2, -x+1/2'], ['x, y, z', '-y+1/2, -x+1/2, -z+1/2'], ['x, y, z', 'y-1/2, x+1/2, -z+3/2'], ['x, y, z', 'y-1/2, x+1/2, -z+3/2'], ['x, y, z', '-y+1/2, -x+1/2, -z+1/2'], ['x, y, z', '-x+3/2, -z+3/2, -y+3/2'], ['x, y, z', '-x+5/2, z-1/2, y+1/2'], ['x, y, z', '-x+5/2, z-1/2, y+1/2'], ['x, y, z', '-x+3/2, -z+3/2, -y+3/2'], ['x, y, z', '-z+3/2, -y+3/2, -x+3/2'], ['x, y, z', 'z+1/2, -y+5/2, x-1/2'], ['x, y, z', 'z+1/2, -y+5/2, x-1/2'], ['x, y, z', '-z+3/2, -y+3/2, -x+3/2'], ['x, y, z', '-y+3/2, -x+3/2, -z+3/2'], ['x, y, z', 'y-1/2, x+1/2, -z+5/2'], ['x, y, z', 'y-1/2, x+1/2, -z+5/2'], ['x, y, z', '-y+3/2, -x+3/2, -z+3/2']], [['x, y, z', '-x, z, y'], ['x, y, z', '-x, -z, -y'], ['x, y, z', '-x, -z, -y'], ['x, y, z', '-x, z, y'], ['x, y, z', 'z, -y, x'], ['x, y, z', '-z, -y, -x'], ['x, y, z', '-z, -y, -x'], ['x, y, z', 'z, -y, x'], ['x, y, z', 'y, x, -z'], ['x, y, z', '-y, -x, -z'], ['x, y, z', '-y, -x, -z'], ['x, y, z', 'y, x, -z'], ['x, y, z', '-x+1, z, y'], ['x, y, z', '-x+1, -z+1, -y+1'], ['x, y, z', '-x+1, -z+1, -y+1'], ['x, y, z', '-x+1, z, y'], ['x, y, z', 'z, -y+1, x'], ['x, y, z', '-z+1, -y+1, -x+1'], ['x, y, z', '-z+1, -y+1, -x+1'], ['x, y, z', 'z, -y+1, x'], ['x, y, z', 'y, x, -z+1'], ['x, y, z', '-y+1, -x+1, -z+1'], ['x, y, z', '-y+1, -x+1, -z+1'], ['x, y, z', 'y, x, -z+1']], [['x, y, z', 'x, -y+1, -z'], ['x, y, z', 'x, -y+1, -z'], ['x, y, z', '-x, y, -z+1'], ['x, y, z', '-x, y, -z+1'], ['x, y, z', '-x+1, -y, z'], ['x, y, z', '-x+1, -y, z'], ['x, y, z', '-x+1, y, -z'], ['x, y, z', '-x+1, y, -z'], ['x, y, z', 'x, -y, -z+1'], ['x, y, z', 'x, -y, -z+1'], ['x, y, z', '-x, -y+1, z'], ['x, y, z', '-x, -y+1, z'], ['x, y, z', 'x, -y+2, -z+1'], ['x, y, z', 'x, -y+2, -z+1'], ['x, y, z', '-x+1, y, -z+2'], ['x, y, z', '-x+1, y, -z+2'], ['x, y, z', '-x+2, -y+1, z'], ['x, y, z', '-x+2, -y+1, z'], ['x, y, z', '-x+2, y, -z+1'], ['x, y, z', '-x+2, y, -z+1'], ['x, y, z', 'x, -y+1, -z+2'], ['x, y, z', 'x, -y+1, -z+2'], ['x, y, z', '-x+1, -y+2, z'], ['x, y, z', '-x+1, -y+2, z']], [['x, y, z', 'z, x, y', 'y, z, x'], ['x, y, z', '-z, x, -y', 'y, -z, -x'], ['x, y, z', 'z, -x, -y', '-y, -z, x'], ['x, y, z', '-z, -x, y', '-y, z, -x'], ['x, y, z', '-z, x, -y', 'y, -z, -x'], ['x, y, z', 'z, x, y', 'y, z, x'], ['x, y, z', 'z, -x, -y', '-y, -z, x'], ['x, y, z', '-z, -x, y', '-y, z, -x'], ['x, y, z', 'z, x, y', 'y, z, x'], ['x, y, z', '-z+1, x, -y+1', 'y, -z+1, -x+1'], ['x, y, z', 'z, -x+1, -y+1', '-y+1, -z+1, x'], ['x, y, z', '-z+1, -x+1, y', '-y+1, z, -x+1'], ['x, y, z', '-z+1, x, -y+1', 'y, -z+1, -x+1'], ['x, y, z', 'z, x, y', 'y, z, x'], ['x, y, z', 'z, -x+1, -y+1', '-y+1, -z+1, x'], ['x, y, z', '-z+1, -x+1, y', '-y+1, z, -x+1']], [['x, y, z', 'x, -y, -z', 'x, z, -y', 'x, -z, y'], ['x, y, z', 'x, -y, -z', 'x, z, -y', 'x, -z, y'], ['x, y, z', '-x, y, -z', 'z, y, -x', '-z, y, x'], ['x, y, z', '-x, y, -z', 'z, y, -x', '-z, y, x'], ['x, y, z', '-x, -y, z', 'y, -x, z', '-y, x, z'], ['x, y, z', '-x, -y, z', 'y, -x, z', '-y, x, z'], ['x, y, z', 'x, -y+1, -z+1', 'x, z, -y+1', 'x, -z+1, y'], ['x, y, z', 'x, -y+1, -z+1', 'x, z, -y+1', 'x, -z+1, y'], ['x, y, z', '-x+1, y, -z+1', 'z, y, -x+1', '-z+1, y, x'], ['x, y, z', '-x+1, y, -z+1', 'z, y, -x+1', '-z+1, y, x'], ['x, y, z', '-x+1, -y+1, z', 'y, -x+1, z', '-y+1, x, z'], ['x, y, z', '-x+1, -y+1, z', 'y, -x+1, z', '-y+1, x, z']], [['x, y, z', 'x, -y+1, -z', '-x+1/2, z+1/2, y-1/2', '-x+1/2, -z+1/2, -y+1/2'], ['x, y, z', 'x, -y+1, -z', '-x+3/2, z+1/2, y-1/2', '-x+3/2, -z+1/2, -y+1/2'], ['x, y, z', '-x, y, -z+1', 'z-1/2, -y+1/2, x+1/2', '-z+1/2, -y+1/2, -x+1/2'], ['x, y, z', '-x, y, -z+1', 'z-1/2, -y+3/2, x+1/2', '-z+1/2, -y+3/2, -x+1/2'], ['x, y, z', '-x+1, -y, z', 'y+1/2, x-1/2, -z+1/2', '-y+1/2, -x+1/2, -z+1/2'], ['x, y, z', '-x+1, -y, z', 'y+1/2, x-1/2, -z+3/2', '-y+1/2, -x+1/2, -z+3/2'], ['x, y, z', 'x, -y+2, -z+1', '-x+3/2, z+1/2, y-1/2', '-x+3/2, -z+3/2, -y+3/2'], ['x, y, z', 'x, -y+2, -z+1', '-x+5/2, z+1/2, y-1/2', '-x+5/2, -z+3/2, -y+3/2'], ['x, y, z', '-x+1, y, -z+2', 'z-1/2, -y+3/2, x+1/2', '-z+3/2, -y+3/2, -x+3/2'], ['x, y, z', '-x+1, y, -z+2', 'z-1/2, -y+5/2, x+1/2', '-z+3/2, -y+5/2, -x+3/2'], ['x, y, z', '-x+2, -y+1, z', 'y+1/2, x-1/2, -z+3/2', '-y+3/2, -x+3/2, -z+3/2'], ['x, y, z', '-x+2, -y+1, z', 'y+1/2, x-1/2, -z+5/2', '-y+3/2, -x+3/2, -z+5/2']], [['x, y, z', 'z, x, y', 'y, z, x', '-y+1/2, -x+1/2, -z+1/2', '-x+1/2, -z+1/2, -y+1/2', '-z+1/2, -y+1/2, -x+1/2'], ['x, y, z', '-z+1, x, -y+1', 'y, -z+1, -x+1', '-y+3/2, -x+3/2, -z+1/2', '-x+3/2, z+1/2, y-1/2', 'z+1/2, -y+3/2, x-1/2'], ['x, y, z', 'z, -x+1, -y+1', '-y+1, -z+1, x', 'y+1/2, x-1/2, -z+3/2', '-x+3/2, z-1/2, y+1/2', '-z+3/2, -y+1/2, -x+3/2'], ['x, y, z', '-z+1, -x+1, y', '-y+1, z, -x+1', 'y-1/2, x+1/2, -z+3/2', '-x+1/2, -z+3/2, -y+3/2', 'z-1/2, -y+3/2, x+1/2'], ['x, y, z', 'z, x, y', 'y, z, x', '-y+3/2, -x+3/2, -z+3/2', '-x+3/2, -z+3/2, -y+3/2', '-z+3/2, -y+3/2, -x+3/2'], ['x, y, z', '-z+2, x, -y+2', 'y, -z+2, -x+2', '-y+5/2, -x+5/2, -z+3/2', '-x+5/2, z+1/2, y-1/2', 'z+1/2, -y+5/2, x-1/2'], ['x, y, z', 'z, -x+2, -y+2', '-y+2, -z+2, x', 'y+1/2, x-1/2, -z+5/2', '-x+5/2, z-1/2, y+1/2', '-z+5/2, -y+3/2, -x+5/2'], ['x, y, z', '-z+2, -x+2, y', '-y+2, z, -x+2', 'y-1/2, x+1/2, -z+5/2', '-x+3/2, -z+5/2, -y+5/2', 'z-1/2, -y+5/2, x+1/2']], [['x, y, z', '-x, -y+1, z', '-x, y, -z+1', 'x, -y+1, -z+1', 'x, z, -y+1', '-x, z, y', '-x, -z+1, -y+1', 'x, -z+1, y'], ['x, y, z', '-x+1, -y, z', '-x+1, y, -z+1', 'x, -y, -z+1', 'z, y, -x+1', 'z, -y, x', '-z+1, y, x', '-z+1, -y, -x+1'], ['x, y, z', '-x+1, -y+1, z', '-x+1, y, -z', 'x, -y+1, -z', 'y, x, -z', '-y+1, -x+1, -z', 'y, -x+1, z', '-y+1, x, z'], ['x, y, z', '-x+1, -y+2, z', '-x+1, y, -z+2', 'x, -y+2, -z+2', 'x, z, -y+2', '-x+1, z, y', '-x+1, -z+2, -y+2', 'x, -z+2, y'], ['x, y, z', '-x+2, -y+1, z', '-x+2, y, -z+2', 'x, -y+1, -z+2', 'z, y, -x+2', 'z, -y+1, x', '-z+2, y, x', '-z+2, -y+1, -x+2'], ['x, y, z', '-x+2, -y+2, z', '-x+2, y, -z+1', 'x, -y+2, -z+1', 'y, x, -z+1', '-y+2, -x+2, -z+1', 'y, -x+2, z', '-y+2, x, z']], [['x, y, z', '-x, -y, z', '-x, y, -z', 'x, -y, -z', 'z, x, y', 'z, -x, -y', '-z, -x, y', '-z, x, -y', 'y, z, x', '-y, z, -x', 'y, -z, -x', '-y, -z, x', 'y, x, -z', '-y, -x, -z', 'y, -x, z', '-y, x, z', 'x, z, -y', '-x, z, y', '-x, -z, -y', 'x, -z, y', 'z, y, -x', 'z, -y, x', '-z, y, x', '-z, -y, -x'], ['x, y, z', '-x+1, -y+1, z', '-x+1, y, -z+1', 'x, -y+1, -z+1', 'z, x, y', 'z, -x+1, -y+1', '-z+1, -x+1, y', '-z+1, x, -y+1', 'y, z, x', '-y+1, z, -x+1', 'y, -z+1, -x+1', '-y+1, -z+1, x', 'y, x, -z+1', '-y+1, -x+1, -z+1', 'y, -x+1, z', '-y+1, x, z', 'x, z, -y+1', '-x+1, z, y', '-x+1, -z+1, -y+1', 'x, -z+1, y', 'z, y, -x+1', 'z, -y+1, x', '-z+1, y, x', '-z+1, -y+1, -x+1']]]\"\n212,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-x+1/4, -z+1/4, -y+1/4'], ['x, y, z', '-x+3/4, z-3/4, y+3/4'], ['x, y, z', '-x+7/4, z+1/4, y-1/4'], ['x, y, z', '-x+5/4, -z+5/4, -y+5/4'], ['x, y, z', '-z+1/4, -y+1/4, -x+1/4'], ['x, y, z', 'z+3/4, -y+3/4, x-3/4'], ['x, y, z', 'z-1/4, -y+7/4, x+1/4'], ['x, y, z', '-z+5/4, -y+5/4, -x+5/4'], ['x, y, z', '-y+1/4, -x+1/4, -z+1/4'], ['x, y, z', 'y-3/4, x+3/4, -z+3/4'], ['x, y, z', 'y+1/4, x-1/4, -z+7/4'], ['x, y, z', '-y+5/4, -x+5/4, -z+5/4']], [['x, y, z', 'z, x, y', 'y, z, x'], ['x, y, z', '-z+1, x-1/2, -y+1/2', 'y+1/2, -z+1/2, -x+1'], ['x, y, z', 'z-1/2, -x+1/2, -y+1', '-y+1/2, -z+1, x+1/2'], ['x, y, z', '-z+1/2, -x+1, y-1/2', '-y+1, z+1/2, -x+1/2'], ['x, y, z', '-z+1, x+1/2, -y+3/2', 'y-1/2, -z+3/2, -x+1'], ['x, y, z', 'z, x, y', 'y, z, x'], ['x, y, z', 'z+1/2, -x+3/2, -y+1', '-y+3/2, -z+1, x-1/2'], ['x, y, z', '-z+3/2, -x+1, y+1/2', '-y+1, z-1/2, -x+3/2']], [['x, y, z', 'z, x, y', 'y, z, x', '-y+5/4, -x+5/4, -z+5/4', '-x+5/4, -z+5/4, -y+5/4', '-z+5/4, -y+5/4, -x+5/4'], ['x, y, z', '-z+1, x-1/2, -y+1/2', 'y+1/2, -z+1/2, -x+1', '-y+5/4, -x+5/4, -z+1/4', '-x+7/4, z+1/4, y-1/4', 'z+3/4, -y+3/4, x-3/4'], ['x, y, z', 'z-1/2, -x+1/2, -y+1', '-y+1/2, -z+1, x+1/2', 'y+1/4, x-1/4, -z+7/4', '-x+3/4, z-3/4, y+3/4', '-z+5/4, -y+1/4, -x+5/4'], ['x, y, z', '-z+1/2, -x+1, y-1/2', '-y+1, z+1/2, -x+1/2', 'y-3/4, x+3/4, -z+3/4', '-x+1/4, -z+5/4, -y+5/4', 'z-1/4, -y+7/4, x+1/4']], [['x, y, z', 'z, x, y', 'y, z, x', '-y+1/4, -x+1/4, -z+1/4', '-x+1/4, -z+1/4, -y+1/4', '-z+1/4, -y+1/4, -x+1/4'], ['x, y, z', '-z+1, x+1/2, -y+3/2', 'y-1/2, -z+3/2, -x+1', '-y+5/4, -x+5/4, -z+5/4', '-x+3/4, z+1/4, y-1/4', 'z-1/4, -y+7/4, x+1/4'], ['x, y, z', 'z+1/2, -x+3/2, -y+1', '-y+3/2, -z+1, x-1/2', 'y+1/4, x-1/4, -z+3/4', '-x+7/4, z+1/4, y-1/4', '-z+5/4, -y+5/4, -x+5/4'], ['x, y, z', '-z+3/2, -x+1, y+1/2', '-y+1, z-1/2, -x+3/2', 'y+1/4, x-1/4, -z+7/4', '-x+5/4, -z+5/4, -y+5/4', 'z-1/4, -y+3/4, x+1/4']]]\"\n213,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-x+1/4, z-1/4, y+1/4'], ['x, y, z', '-x+3/4, -z+3/4, -y+3/4'], ['x, y, z', '-x+7/4, -z+3/4, -y+3/4'], ['x, y, z', '-x+5/4, z-1/4, y+1/4'], ['x, y, z', 'z+1/4, -y+1/4, x-1/4'], ['x, y, z', '-z+3/4, -y+3/4, -x+3/4'], ['x, y, z', '-z+3/4, -y+7/4, -x+3/4'], ['x, y, z', 'z+1/4, -y+5/4, x-1/4'], ['x, y, z', 'y-1/4, x+1/4, -z+1/4'], ['x, y, z', '-y+3/4, -x+3/4, -z+3/4'], ['x, y, z', '-y+3/4, -x+3/4, -z+7/4'], ['x, y, z', 'y-1/4, x+1/4, -z+5/4']], [['x, y, z', 'z, x, y', 'y, z, x'], ['x, y, z', '-z+1, x-1/2, -y+1/2', 'y+1/2, -z+1/2, -x+1'], ['x, y, z', 'z-1/2, -x+1/2, -y+1', '-y+1/2, -z+1, x+1/2'], ['x, y, z', '-z+1/2, -x+1, y-1/2', '-y+1, z+1/2, -x+1/2'], ['x, y, z', '-z+1, x-1/2, -y+1/2', 'y+1/2, -z+1/2, -x+1'], ['x, y, z', 'z, x, y', 'y, z, x'], ['x, y, z', 'z-1/2, -x+1/2, -y+1', '-y+1/2, -z+1, x+1/2'], ['x, y, z', '-z+1/2, -x+1, y-1/2', '-y+1, z+1/2, -x+1/2']], [['x, y, z', 'z, x, y', 'y, z, x', '-y+7/4, -x+7/4, -z+7/4', '-x+7/4, -z+7/4, -y+7/4', '-z+7/4, -y+7/4, -x+7/4'], ['x, y, z', '-z+1, x-1/2, -y+1/2', 'y+1/2, -z+1/2, -x+1', '-y+3/4, -x+3/4, -z+3/4', '-x+5/4, z-1/4, y+1/4', 'z+1/4, -y+1/4, x-1/4'], ['x, y, z', 'z-1/2, -x+1/2, -y+1', '-y+1/2, -z+1, x+1/2', 'y-1/4, x+1/4, -z+5/4', '-x+1/4, z-1/4, y+1/4', '-z+3/4, -y+3/4, -x+3/4'], ['x, y, z', '-z+1/2, -x+1, y-1/2', '-y+1, z+1/2, -x+1/2', 'y-1/4, x+1/4, -z+1/4', '-x+3/4, -z+3/4, -y+3/4', 'z+1/4, -y+5/4, x-1/4']], [['x, y, z', 'z, x, y', 'y, z, x', '-y+3/4, -x+3/4, -z+3/4', '-x+3/4, -z+3/4, -y+3/4', '-z+3/4, -y+3/4, -x+3/4'], ['x, y, z', '-z+1, x+1/2, -y+3/2', 'y-1/2, -z+3/2, -x+1', '-y+3/4, -x+3/4, -z+7/4', '-x+1/4, z-1/4, y+1/4', 'z-3/4, -y+5/4, x+3/4'], ['x, y, z', 'z+1/2, -x+3/2, -y+1', '-y+3/2, -z+1, x-1/2', 'y-1/4, x+1/4, -z+1/4', '-x+5/4, z+3/4, y-3/4', '-z+3/4, -y+7/4, -x+3/4'], ['x, y, z', '-z+3/2, -x+1, y+1/2', '-y+1, z-1/2, -x+3/2', 'y+3/4, x-3/4, -z+5/4', '-x+7/4, -z+3/4, -y+3/4', 'z+1/4, -y+1/4, x-1/4']]]\"\n214,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-x+1/4, -z+1/4, -y+1/4'], ['x, y, z', '-x+3/4, z-3/4, y+3/4'], ['x, y, z', '-x+7/4, z+1/4, y-1/4'], ['x, y, z', '-x+5/4, -z+5/4, -y+5/4'], ['x, y, z', '-z+1/4, -y+1/4, -x+1/4'], ['x, y, z', 'z+3/4, -y+3/4, x-3/4'], ['x, y, z', 'z-1/4, -y+7/4, x+1/4'], ['x, y, z', '-z+5/4, -y+5/4, -x+5/4'], ['x, y, z', '-y+1/4, -x+1/4, -z+1/4'], ['x, y, z', 'y-3/4, x+3/4, -z+3/4'], ['x, y, z', 'y+1/4, x-1/4, -z+7/4'], ['x, y, z', '-y+5/4, -x+5/4, -z+5/4'], ['x, y, z', '-x+5/4, -z+5/4, -y+5/4'], ['x, y, z', '-x+7/4, z-3/4, y+3/4'], ['x, y, z', '-x+11/4, z+1/4, y-1/4'], ['x, y, z', '-x+9/4, -z+9/4, -y+9/4'], ['x, y, z', '-z+5/4, -y+5/4, -x+5/4'], ['x, y, z', 'z+3/4, -y+7/4, x-3/4'], ['x, y, z', 'z-1/4, -y+11/4, x+1/4'], ['x, y, z', '-z+9/4, -y+9/4, -x+9/4'], ['x, y, z', '-y+5/4, -x+5/4, -z+5/4'], ['x, y, z', 'y-3/4, x+3/4, -z+7/4'], ['x, y, z', 'y+1/4, x-1/4, -z+11/4'], ['x, y, z', '-y+9/4, -x+9/4, -z+9/4']], [['x, y, z', '-x+1/4, z-1/4, y+1/4'], ['x, y, z', '-x+3/4, -z+3/4, -y+3/4'], ['x, y, z', '-x+7/4, -z+3/4, -y+3/4'], ['x, y, z', '-x+5/4, z-1/4, y+1/4'], ['x, y, z', 'z+1/4, -y+1/4, x-1/4'], ['x, y, z', '-z+3/4, -y+3/4, -x+3/4'], ['x, y, z', '-z+3/4, -y+7/4, -x+3/4'], ['x, y, z', 'z+1/4, -y+5/4, x-1/4'], ['x, y, z', 'y-1/4, x+1/4, -z+1/4'], ['x, y, z', '-y+3/4, -x+3/4, -z+3/4'], ['x, y, z', '-y+3/4, -x+3/4, -z+7/4'], ['x, y, z', 'y-1/4, x+1/4, -z+5/4'], ['x, y, z', '-x+5/4, z-1/4, y+1/4'], ['x, y, z', '-x+7/4, -z+7/4, -y+7/4'], ['x, y, z', '-x+11/4, -z+7/4, -y+7/4'], ['x, y, z', '-x+9/4, z-1/4, y+1/4'], ['x, y, z', 'z+1/4, -y+5/4, x-1/4'], ['x, y, z', '-z+7/4, -y+7/4, -x+7/4'], ['x, y, z', '-z+7/4, -y+11/4, -x+7/4'], ['x, y, z', 'z+1/4, -y+9/4, x-1/4'], ['x, y, z', 'y-1/4, x+1/4, -z+5/4'], ['x, y, z', '-y+7/4, -x+7/4, -z+7/4'], ['x, y, z', '-y+7/4, -x+7/4, -z+11/4'], ['x, y, z', 'y-1/4, x+1/4, -z+9/4']], [['x, y, z', 'x, -y, -z+1/2'], ['x, y, z', 'x, -y, -z+3/2'], ['x, y, z', '-x+1/2, y, -z'], ['x, y, z', '-x+3/2, y, -z'], ['x, y, z', '-x, -y+1/2, z'], ['x, y, z', '-x, -y+3/2, z'], ['x, y, z', '-x+3/2, y, -z'], ['x, y, z', '-x+3/2, y, -z+1'], ['x, y, z', 'x, -y+1, -z+1/2'], ['x, y, z', 'x, -y, -z+1/2'], ['x, y, z', '-x, -y+1/2, z'], ['x, y, z', '-x+1, -y+1/2, z'], ['x, y, z', 'x, -y+1, -z+3/2'], ['x, y, z', 'x, -y+1, -z+5/2'], ['x, y, z', '-x+3/2, y, -z+1'], ['x, y, z', '-x+5/2, y, -z+1'], ['x, y, z', '-x+1, -y+3/2, z'], ['x, y, z', '-x+1, -y+5/2, z'], ['x, y, z', '-x+5/2, y, -z+1'], ['x, y, z', '-x+5/2, y, -z+2'], ['x, y, z', 'x, -y+2, -z+3/2'], ['x, y, z', 'x, -y+1, -z+3/2'], ['x, y, z', '-x+1, -y+3/2, z'], ['x, y, z', '-x+2, -y+3/2, z']], [['x, y, z', 'z, x, y', 'y, z, x'], ['x, y, z', '-z+1, x-1/2, -y+1/2', 'y+1/2, -z+1/2, -x+1'], ['x, y, z', 'z-1/2, -x+1/2, -y+1', '-y+1/2, -z+1, x+1/2'], ['x, y, z', '-z+1/2, -x+1, y-1/2', '-y+1, z+1/2, -x+1/2'], ['x, y, z', '-z+1, x-1/2, -y+1/2', 'y+1/2, -z+1/2, -x+1'], ['x, y, z', 'z, x, y', 'y, z, x'], ['x, y, z', 'z-1/2, -x+1/2, -y+1', '-y+1/2, -z+1, x+1/2'], ['x, y, z', '-z+1/2, -x+1, y-1/2', '-y+1, z+1/2, -x+1/2'], ['x, y, z', 'z, x, y', 'y, z, x'], ['x, y, z', '-z+2, x-1/2, -y+3/2', 'y+1/2, -z+3/2, -x+2'], ['x, y, z', 'z-1/2, -x+3/2, -y+2', '-y+3/2, -z+2, x+1/2'], ['x, y, z', '-z+3/2, -x+2, y-1/2', '-y+2, z+1/2, -x+3/2'], ['x, y, z', '-z+2, x-1/2, -y+3/2', 'y+1/2, -z+3/2, -x+2'], ['x, y, z', 'z, x, y', 'y, z, x'], ['x, y, z', 'z-1/2, -x+3/2, -y+2', '-y+3/2, -z+2, x+1/2'], ['x, y, z', '-z+3/2, -x+2, y-1/2', '-y+2, z+1/2, -x+3/2']], [['x, y, z', '-x+5/4, z-1/4, y+1/4', 'x, -y, -z+1/2', '-x+5/4, -z+1/4, -y+1/4'], ['x, y, z', '-x+7/4, -z+3/4, -y+3/4', 'x, -y, -z+3/2', '-x+7/4, z-3/4, y+3/4'], ['x, y, z', 'z+1/4, -y+5/4, x-1/4', '-x+1/2, y, -z', '-z+1/4, -y+5/4, -x+1/4'], ['x, y, z', '-z+3/4, -y+7/4, -x+3/4', '-x+3/2, y, -z', 'z+3/4, -y+7/4, x-3/4'], ['x, y, z', 'y-1/4, x+1/4, -z+5/4', '-x, -y+1/2, z', '-y+1/4, -x+1/4, -z+5/4'], ['x, y, z', '-y+3/4, -x+3/4, -z+7/4', '-x, -y+3/2, z', 'y-3/4, x+3/4, -z+7/4'], ['x, y, z', '-x+9/4, z-1/4, y+1/4', 'x, -y+1, -z+3/2', '-x+9/4, -z+5/4, -y+5/4'], ['x, y, z', '-x+11/4, -z+7/4, -y+7/4', 'x, -y+1, -z+5/2', '-x+11/4, z-3/4, y+3/4'], ['x, y, z', 'z+1/4, -y+9/4, x-1/4', '-x+3/2, y, -z+1', '-z+5/4, -y+9/4, -x+5/4'], ['x, y, z', '-z+7/4, -y+11/4, -x+7/4', '-x+5/2, y, -z+1', 'z+3/4, -y+11/4, x-3/4'], ['x, y, z', 'y-1/4, x+1/4, -z+9/4', '-x+1, -y+3/2, z', '-y+5/4, -x+5/4, -z+9/4'], ['x, y, z', '-y+7/4, -x+7/4, -z+11/4', '-x+1, -y+5/2, z', 'y-3/4, x+3/4, -z+11/4']], [['x, y, z', '-x+1/4, z-1/4, y+1/4', 'x, -y, -z+1/2', '-x+1/4, -z+1/4, -y+1/4'], ['x, y, z', '-x+3/4, -z+3/4, -y+3/4', 'x, -y, -z+3/2', '-x+3/4, z-3/4, y+3/4'], ['x, y, z', 'z+1/4, -y+1/4, x-1/4', '-x+1/2, y, -z', '-z+1/4, -y+1/4, -x+1/4'], ['x, y, z', '-z+3/4, -y+3/4, -x+3/4', '-x+3/2, y, -z', 'z+3/4, -y+3/4, x-3/4'], ['x, y, z', 'y-1/4, x+1/4, -z+1/4', '-x, -y+1/2, z', '-y+1/4, -x+1/4, -z+1/4'], ['x, y, z', '-y+3/4, -x+3/4, -z+3/4', '-x, -y+3/2, z', 'y-3/4, x+3/4, -z+3/4'], ['x, y, z', '-x+5/4, z-1/4, y+1/4', 'x, -y+1, -z+3/2', '-x+5/4, -z+5/4, -y+5/4'], ['x, y, z', '-x+7/4, -z+7/4, -y+7/4', 'x, -y+1, -z+5/2', '-x+7/4, z-3/4, y+3/4'], ['x, y, z', 'z+1/4, -y+5/4, x-1/4', '-x+3/2, y, -z+1', '-z+5/4, -y+5/4, -x+5/4'], ['x, y, z', '-z+7/4, -y+7/4, -x+7/4', '-x+5/2, y, -z+1', 'z+3/4, -y+7/4, x-3/4'], ['x, y, z', 'y-1/4, x+1/4, -z+5/4', '-x+1, -y+3/2, z', '-y+5/4, -x+5/4, -z+5/4'], ['x, y, z', '-y+7/4, -x+7/4, -z+7/4', '-x+1, -y+5/2, z', 'y-3/4, x+3/4, -z+7/4']], [['x, y, z', 'z, x, y', 'y, z, x', '-y+7/4, -x+7/4, -z+7/4', '-x+7/4, -z+7/4, -y+7/4', '-z+7/4, -y+7/4, -x+7/4'], ['x, y, z', '-z+1, x-1/2, -y+1/2', 'y+1/2, -z+1/2, -x+1', '-y+3/4, -x+3/4, -z+3/4', '-x+5/4, z-1/4, y+1/4', 'z+1/4, -y+1/4, x-1/4'], ['x, y, z', 'z-1/2, -x+1/2, -y+1', '-y+1/2, -z+1, x+1/2', 'y-1/4, x+1/4, -z+5/4', '-x+1/4, z-1/4, y+1/4', '-z+3/4, -y+3/4, -x+3/4'], ['x, y, z', '-z+1/2, -x+1, y-1/2', '-y+1, z+1/2, -x+1/2', 'y-1/4, x+1/4, -z+1/4', '-x+3/4, -z+3/4, -y+3/4', 'z+1/4, -y+5/4, x-1/4'], ['x, y, z', 'z, x, y', 'y, z, x', '-y+11/4, -x+11/4, -z+11/4', '-x+11/4, -z+11/4, -y+11/4', '-z+11/4, -y+11/4, -x+11/4'], ['x, y, z', '-z+2, x-1/2, -y+3/2', 'y+1/2, -z+3/2, -x+2', '-y+7/4, -x+7/4, -z+7/4', '-x+9/4, z-1/4, y+1/4', 'z+1/4, -y+5/4, x-1/4'], ['x, y, z', 'z-1/2, -x+3/2, -y+2', '-y+3/2, -z+2, x+1/2', 'y-1/4, x+1/4, -z+9/4', '-x+5/4, z-1/4, y+1/4', '-z+7/4, -y+7/4, -x+7/4'], ['x, y, z', '-z+3/2, -x+2, y-1/2', '-y+2, z+1/2, -x+3/2', 'y-1/4, x+1/4, -z+5/4', '-x+7/4, -z+7/4, -y+7/4', 'z+1/4, -y+9/4, x-1/4']], [['x, y, z', 'z, x, y', 'y, z, x', '-y+1/4, -x+1/4, -z+1/4', '-x+1/4, -z+1/4, -y+1/4', '-z+1/4, -y+1/4, -x+1/4'], ['x, y, z', '-z+1, x+1/2, -y+3/2', 'y-1/2, -z+3/2, -x+1', '-y+5/4, -x+5/4, -z+5/4', '-x+3/4, z+1/4, y-1/4', 'z-1/4, -y+7/4, x+1/4'], ['x, y, z', 'z+1/2, -x+3/2, -y+1', '-y+3/2, -z+1, x-1/2', 'y+1/4, x-1/4, -z+3/4', '-x+7/4, z+1/4, y-1/4', '-z+5/4, -y+5/4, -x+5/4'], ['x, y, z', '-z+3/2, -x+1, y+1/2', '-y+1, z-1/2, -x+3/2', 'y+1/4, x-1/4, -z+7/4', '-x+5/4, -z+5/4, -y+5/4', 'z-1/4, -y+3/4, x+1/4'], ['x, y, z', 'z, x, y', 'y, z, x', '-y+5/4, -x+5/4, -z+5/4', '-x+5/4, -z+5/4, -y+5/4', '-z+5/4, -y+5/4, -x+5/4'], ['x, y, z', '-z+2, x+1/2, -y+5/2', 'y-1/2, -z+5/2, -x+2', '-y+9/4, -x+9/4, -z+9/4', '-x+7/4, z+1/4, y-1/4', 'z-1/4, -y+11/4, x+1/4'], ['x, y, z', 'z+1/2, -x+5/2, -y+2', '-y+5/2, -z+2, x-1/2', 'y+1/4, x-1/4, -z+7/4', '-x+11/4, z+1/4, y-1/4', '-z+9/4, -y+9/4, -x+9/4'], ['x, y, z', '-z+5/2, -x+2, y+1/2', '-y+2, z-1/2, -x+5/2', 'y+1/4, x-1/4, -z+11/4', '-x+9/4, -z+9/4, -y+9/4', 'z-1/4, -y+7/4, x+1/4']]]\"\n215,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', 'y, x, z'], ['x, y, z', 'y, x, z'], ['x, y, z', '-y, -x, z'], ['x, y, z', '-y, -x, z'], ['x, y, z', 'x, z, y'], ['x, y, z', 'x, z, y'], ['x, y, z', 'x, -z, -y'], ['x, y, z', 'x, -z, -y'], ['x, y, z', 'z, y, x'], ['x, y, z', 'z, y, x'], ['x, y, z', '-z, y, -x'], ['x, y, z', '-z, y, -x']], [['x, y, z', 'x, -y+1, -z'], ['x, y, z', 'x, -y+1, -z'], ['x, y, z', '-x, y, -z+1'], ['x, y, z', '-x, y, -z+1'], ['x, y, z', '-x+1, -y, z'], ['x, y, z', '-x+1, -y, z'], ['x, y, z', '-x+1, y, -z'], ['x, y, z', '-x+1, y, -z'], ['x, y, z', 'x, -y, -z+1'], ['x, y, z', 'x, -y, -z+1'], ['x, y, z', '-x, -y+1, z'], ['x, y, z', '-x, -y+1, z']], [['x, y, z', 'x, -y+1, -z+1', 'x, z, y', 'x, -z+1, -y+1'], ['x, y, z', 'x, -y+1, -z+1', 'x, z, y', 'x, -z+1, -y+1'], ['x, y, z', '-x+1, y, -z+1', 'z, y, x', '-z+1, y, -x+1'], ['x, y, z', '-x+1, y, -z+1', 'z, y, x', '-z+1, y, -x+1'], ['x, y, z', '-x+1, -y+1, z', 'y, x, z', '-y+1, -x+1, z'], ['x, y, z', '-x+1, -y+1, z', 'y, x, z', '-y+1, -x+1, z']], [['x, y, z', 'x, -y, -z', 'x, z, y', 'x, -z, -y'], ['x, y, z', 'x, -y, -z', 'x, z, y', 'x, -z, -y'], ['x, y, z', '-x, y, -z', 'z, y, x', '-z, y, -x'], ['x, y, z', '-x, y, -z', 'z, y, x', '-z, y, -x'], ['x, y, z', '-x, -y, z', 'y, x, z', '-y, -x, z'], ['x, y, z', '-x, -y, z', 'y, x, z', '-y, -x, z']], [['x, y, z', 'z, x, y', 'y, z, x', 'y, x, z', 'x, z, y', 'z, y, x'], ['x, y, z', '-z, x, -y', 'y, -z, -x', 'y, x, z', 'x, -z, -y', '-z, y, -x'], ['x, y, z', 'z, -x, -y', '-y, -z, x', '-y, -x, z', 'x, -z, -y', 'z, y, x'], ['x, y, z', '-z, -x, y', '-y, z, -x', '-y, -x, z', 'x, z, y', '-z, y, -x']], [['x, y, z', '-x+1, -y, z', '-x+1, y, -z', 'x, -y, -z', 'x, z, y', '-x+1, z, -y', '-x+1, -z, y', 'x, -z, -y'], ['x, y, z', '-x, -y+1, z', '-x, y, -z', 'x, -y+1, -z', 'z, y, x', 'z, -y+1, -x', '-z, y, -x', '-z, -y+1, x'], ['x, y, z', '-x, -y, z', '-x, y, -z+1', 'x, -y, -z+1', 'y, x, z', '-y, -x, z', 'y, -x, -z+1', '-y, x, -z+1']], [['x, y, z', '-x, -y+1, z', '-x, y, -z+1', 'x, -y+1, -z+1', 'x, z, y', '-x, z, -y+1', '-x, -z+1, y', 'x, -z+1, -y+1'], ['x, y, z', '-x+1, -y, z', '-x+1, y, -z+1', 'x, -y, -z+1', 'z, y, x', 'z, -y, -x+1', '-z+1, y, -x+1', '-z+1, -y, x'], ['x, y, z', '-x+1, -y+1, z', '-x+1, y, -z', 'x, -y+1, -z', 'y, x, z', '-y+1, -x+1, z', 'y, -x+1, -z', '-y+1, x, -z']], [['x, y, z', '-x+1, -y+1, z', '-x+1, y, -z+1', 'x, -y+1, -z+1', 'z, x, y', 'z, -x+1, -y+1', '-z+1, -x+1, y', '-z+1, x, -y+1', 'y, z, x', '-y+1, z, -x+1', 'y, -z+1, -x+1', '-y+1, -z+1, x', 'y, x, z', '-y+1, -x+1, z', 'y, -x+1, -z+1', '-y+1, x, -z+1', 'x, z, y', '-x+1, z, -y+1', '-x+1, -z+1, y', 'x, -z+1, -y+1', 'z, y, x', 'z, -y+1, -x+1', '-z+1, y, -x+1', '-z+1, -y+1, x']], [['x, y, z', '-x, -y, z', '-x, y, -z', 'x, -y, -z', 'z, x, y', 'z, -x, -y', '-z, -x, y', '-z, x, -y', 'y, z, x', '-y, z, -x', 'y, -z, -x', '-y, -z, x', 'y, x, z', '-y, -x, z', 'y, -x, -z', '-y, x, -z', 'x, z, y', '-x, z, -y', '-x, -z, y', 'x, -z, -y', 'z, y, x', 'z, -y, -x', '-z, y, -x', '-z, -y, x']]]\"\n216,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', 'y, x, z'], ['x, y, z', 'y, x, z'], ['x, y, z', '-y, -x, z'], ['x, y, z', '-y, -x, z'], ['x, y, z', 'x, z, y'], ['x, y, z', 'x, z, y'], ['x, y, z', 'x, -z, -y'], ['x, y, z', 'x, -z, -y'], ['x, y, z', 'z, y, x'], ['x, y, z', 'z, y, x'], ['x, y, z', '-z, y, -x'], ['x, y, z', '-z, y, -x'], ['x, y, z', 'y-1/2, x+1/2, z'], ['x, y, z', 'y-1/2, x+1/2, z'], ['x, y, z', '-y+1/2, -x+1/2, z'], ['x, y, z', '-y+1/2, -x+1/2, z'], ['x, y, z', 'x, z, y'], ['x, y, z', 'x, z, y'], ['x, y, z', 'x, -z+1, -y+1'], ['x, y, z', 'x, -z+1, -y+1'], ['x, y, z', 'z-1/2, y, x+1/2'], ['x, y, z', 'z-1/2, y, x+1/2'], ['x, y, z', '-z+1/2, y, -x+1/2'], ['x, y, z', '-z+1/2, y, -x+1/2'], ['x, y, z', 'y+1/2, x-1/2, z'], ['x, y, z', 'y+1/2, x-1/2, z'], ['x, y, z', '-y+1/2, -x+1/2, z'], ['x, y, z', '-y+1/2, -x+1/2, z'], ['x, y, z', 'x, z-1/2, y+1/2'], ['x, y, z', 'x, z-1/2, y+1/2'], ['x, y, z', 'x, -z+1/2, -y+1/2'], ['x, y, z', 'x, -z+1/2, -y+1/2'], ['x, y, z', 'z, y, x'], ['x, y, z', 'z, y, x'], ['x, y, z', '-z+1, y, -x+1'], ['x, y, z', '-z+1, y, -x+1'], ['x, y, z', 'y, x, z'], ['x, y, z', 'y, x, z'], ['x, y, z', '-y+1, -x+1, z'], ['x, y, z', '-y+1, -x+1, z'], ['x, y, z', 'x, z+1/2, y-1/2'], ['x, y, z', 'x, z+1/2, y-1/2'], ['x, y, z', 'x, -z+1/2, -y+1/2'], ['x, y, z', 'x, -z+1/2, -y+1/2'], ['x, y, z', 'z+1/2, y, x-1/2'], ['x, y, z', 'z+1/2, y, x-1/2'], ['x, y, z', '-z+1/2, y, -x+1/2'], ['x, y, z', '-z+1/2, y, -x+1/2']], [['x, y, z', 'x, z, y', 'x, -y+1/2, -z+1/2', 'x, -z+1/2, -y+1/2'], ['x, y, z', 'x, -z+1, -y+1', 'x, -y+3/2, -z+1/2', 'x, z+1/2, y-1/2'], ['x, y, z', 'z, y, x', '-x+1/2, y, -z+1/2', '-z+1/2, y, -x+1/2'], ['x, y, z', '-z+1, y, -x+1', '-x+1/2, y, -z+3/2', 'z-1/2, y, x+1/2'], ['x, y, z', 'y, x, z', '-x+1/2, -y+1/2, z', '-y+1/2, -x+1/2, z'], ['x, y, z', '-y+1, -x+1, z', '-x+3/2, -y+1/2, z', 'y+1/2, x-1/2, z'], ['x, y, z', 'x, z, y', 'x, -y+3/2, -z+3/2', 'x, -z+3/2, -y+3/2'], ['x, y, z', 'x, -z+2, -y+2', 'x, -y+5/2, -z+3/2', 'x, z+1/2, y-1/2'], ['x, y, z', '-z+1, y, -x+1', '-x+1/2, y, -z+3/2', 'z-1/2, y, x+1/2'], ['x, y, z', 'z-1, y, x+1', '-x+1/2, y, -z+5/2', '-z+3/2, y, -x+3/2'], ['x, y, z', '-y+1, -x+1, z', '-x+1/2, -y+3/2, z', 'y-1/2, x+1/2, z'], ['x, y, z', 'y, x, z', '-x+3/2, -y+3/2, z', '-y+3/2, -x+3/2, z'], ['x, y, z', 'x, -z+1, -y+1', 'x, -y+1/2, -z+3/2', 'x, z-1/2, y+1/2'], ['x, y, z', 'x, z, y', 'x, -y+3/2, -z+3/2', 'x, -z+3/2, -y+3/2'], ['x, y, z', 'z, y, x', '-x+3/2, y, -z+3/2', '-z+3/2, y, -x+3/2'], ['x, y, z', '-z+2, y, -x+2', '-x+3/2, y, -z+5/2', 'z-1/2, y, x+1/2'], ['x, y, z', '-y+1, -x+1, z', '-x+3/2, -y+1/2, z', 'y+1/2, x-1/2, z'], ['x, y, z', 'y+1, x-1, z', '-x+5/2, -y+1/2, z', '-y+3/2, -x+3/2, z'], ['x, y, z', 'x, -z+1, -y+1', 'x, -y+3/2, -z+1/2', 'x, z+1/2, y-1/2'], ['x, y, z', 'x, z+1, y-1', 'x, -y+5/2, -z+1/2', 'x, -z+3/2, -y+3/2'], ['x, y, z', '-z+1, y, -x+1', '-x+3/2, y, -z+1/2', 'z+1/2, y, x-1/2'], ['x, y, z', 'z, y, x', '-x+3/2, y, -z+3/2', '-z+3/2, y, -x+3/2'], ['x, y, z', 'y, x, z', '-x+3/2, -y+3/2, z', '-y+3/2, -x+3/2, z'], ['x, y, z', '-y+2, -x+2, z', '-x+5/2, -y+3/2, z', 'y+1/2, x-1/2, z']], [['x, y, z', 'x, -y, -z', 'x, z, y', 'x, -z, -y'], ['x, y, z', 'x, -y, -z', 'x, z, y', 'x, -z, -y'], ['x, y, z', '-x, y, -z', 'z, y, x', '-z, y, -x'], ['x, y, z', '-x, y, -z', 'z, y, x', '-z, y, -x'], ['x, y, z', '-x, -y, z', 'y, x, z', '-y, -x, z'], ['x, y, z', '-x, -y, z', 'y, x, z', '-y, -x, z'], ['x, y, z', 'x, -y+1, -z+1', 'x, z, y', 'x, -z+1, -y+1'], ['x, y, z', 'x, -y+1, -z+1', 'x, z, y', 'x, -z+1, -y+1'], ['x, y, z', '-x, y, -z+1', 'z-1/2, y, x+1/2', '-z+1/2, y, -x+1/2'], ['x, y, z', '-x, y, -z+1', 'z-1/2, y, x+1/2', '-z+1/2, y, -x+1/2'], ['x, y, z', '-x, -y+1, z', 'y-1/2, x+1/2, z', '-y+1/2, -x+1/2, z'], ['x, y, z', '-x, -y+1, z', 'y-1/2, x+1/2, z', '-y+1/2, -x+1/2, z'], ['x, y, z', 'x, -y, -z+1', 'x, z-1/2, y+1/2', 'x, -z+1/2, -y+1/2'], ['x, y, z', 'x, -y, -z+1', 'x, z-1/2, y+1/2', 'x, -z+1/2, -y+1/2'], ['x, y, z', '-x+1, y, -z+1', 'z, y, x', '-z+1, y, -x+1'], ['x, y, z', '-x+1, y, -z+1', 'z, y, x', '-z+1, y, -x+1'], ['x, y, z', '-x+1, -y, z', 'y+1/2, x-1/2, z', '-y+1/2, -x+1/2, z'], ['x, y, z', '-x+1, -y, z', 'y+1/2, x-1/2, z', '-y+1/2, -x+1/2, z'], ['x, y, z', 'x, -y+1, -z', 'x, z+1/2, y-1/2', 'x, -z+1/2, -y+1/2'], ['x, y, z', 'x, -y+1, -z', 'x, z+1/2, y-1/2', 'x, -z+1/2, -y+1/2'], ['x, y, z', '-x+1, y, -z', 'z+1/2, y, x-1/2', '-z+1/2, y, -x+1/2'], ['x, y, z', '-x+1, y, -z', 'z+1/2, y, x-1/2', '-z+1/2, y, -x+1/2'], ['x, y, z', '-x+1, -y+1, z', 'y, x, z', '-y+1, -x+1, z'], ['x, y, z', '-x+1, -y+1, z', 'y, x, z', '-y+1, -x+1, z']], [['x, y, z', 'z, x, y', 'y, z, x', 'y, x, z', 'x, z, y', 'z, y, x'], ['x, y, z', '-z, x, -y', 'y, -z, -x', 'y, x, z', 'x, -z, -y', '-z, y, -x'], ['x, y, z', 'z, -x, -y', '-y, -z, x', '-y, -x, z', 'x, -z, -y', 'z, y, x'], ['x, y, z', '-z, -x, y', '-y, z, -x', '-y, -x, z', 'x, z, y', '-z, y, -x'], ['x, y, z', 'x, z, y', 'y-1/2, z, x+1/2', 'z-1/2, y, x+1/2', 'z-1/2, x+1/2, y', 'y-1/2, x+1/2, z'], ['x, y, z', 'x, -z+1, -y+1', 'y-1/2, -z+1, -x+1/2', '-z+1/2, y, -x+1/2', '-z+1/2, x+1/2, -y+1', 'y-1/2, x+1/2, z'], ['x, y, z', 'x, -z+1, -y+1', '-y+1/2, -z+1, x+1/2', 'z-1/2, y, x+1/2', 'z-1/2, -x+1/2, -y+1', '-y+1/2, -x+1/2, z'], ['x, y, z', 'x, z, y', '-y+1/2, z, -x+1/2', '-z+1/2, y, -x+1/2', '-z+1/2, -x+1/2, y', '-y+1/2, -x+1/2, z'], ['x, y, z', 'z, y, x', 'z, x-1/2, y+1/2', 'x, z-1/2, y+1/2', 'y+1/2, z-1/2, x', 'y+1/2, x-1/2, z'], ['x, y, z', '-z+1, y, -x+1', '-z+1, x-1/2, -y+1/2', 'x, -z+1/2, -y+1/2', 'y+1/2, -z+1/2, -x+1', 'y+1/2, x-1/2, z'], ['x, y, z', 'z, y, x', 'z, -x+1/2, -y+1/2', 'x, -z+1/2, -y+1/2', '-y+1/2, -z+1/2, x', '-y+1/2, -x+1/2, z'], ['x, y, z', '-z+1, y, -x+1', '-z+1, -x+1/2, y+1/2', 'x, z-1/2, y+1/2', '-y+1/2, z-1/2, -x+1', '-y+1/2, -x+1/2, z'], ['x, y, z', 'y, x, z', 'y, z+1/2, x-1/2', 'x, z+1/2, y-1/2', 'z+1/2, x, y-1/2', 'z+1/2, y, x-1/2'], ['x, y, z', 'y, x, z', 'y, -z+1/2, -x+1/2', 'x, -z+1/2, -y+1/2', '-z+1/2, x, -y+1/2', '-z+1/2, y, -x+1/2'], ['x, y, z', '-y+1, -x+1, z', '-y+1, -z+1/2, x-1/2', 'x, -z+1/2, -y+1/2', 'z+1/2, -x+1, -y+1/2', 'z+1/2, y, x-1/2'], ['x, y, z', '-y+1, -x+1, z', '-y+1, z+1/2, -x+1/2', 'x, z+1/2, y-1/2', '-z+1/2, -x+1, y-1/2', '-z+1/2, y, -x+1/2']], [['x, y, z', 'z, x, y', 'y, z, x', 'y, x, z', 'x, z, y', 'z, y, x', 'x, -y+3/2, -z+3/2', 'z, -x+3/2, -y+3/2', 'y, -z+3/2, -x+3/2', 'y, -x+3/2, -z+3/2', 'x, -z+3/2, -y+3/2', 'z, -y+3/2, -x+3/2', '-x+3/2, y, -z+3/2', '-z+3/2, x, -y+3/2', '-y+3/2, z, -x+3/2', '-y+3/2, x, -z+3/2', '-x+3/2, z, -y+3/2', '-z+3/2, y, -x+3/2', '-x+3/2, -y+3/2, z', '-z+3/2, -x+3/2, y', '-y+3/2, -z+3/2, x', '-y+3/2, -x+3/2, z', '-x+3/2, -z+3/2, y', '-z+3/2, -y+3/2, x'], ['x, y, z', '-z+2, -x+2, y', '-y+2, z, -x+2', '-y+2, -x+2, z', 'x, z, y', '-z+2, y, -x+2', 'x, -y+5/2, -z+5/2', '-z+2, x+1/2, -y+5/2', '-y+2, -z+5/2, x+1/2', '-y+2, x+1/2, -z+5/2', 'x, -z+5/2, -y+5/2', '-z+2, -y+5/2, x+1/2', '-x+3/2, y, -z+5/2', 'z-1/2, -x+2, -y+5/2', 'y-1/2, z, x+1/2', 'y-1/2, -x+2, -z+5/2', '-x+3/2, z, -y+5/2', 'z-1/2, y, x+1/2', '-x+3/2, -y+5/2, z', 'z-1/2, x+1/2, y', 'y-1/2, -z+5/2, -x+2', 'y-1/2, x+1/2, z', '-x+3/2, -z+5/2, y', 'z-1/2, -y+5/2, -x+2'], ['x, y, z', 'z, -x+2, -y+2', '-y+2, -z+2, x', '-y+2, -x+2, z', 'x, -z+2, -y+2', 'z, y, x', 'x, -y+3/2, -z+5/2', 'z, x-1/2, y+1/2', '-y+2, z-1/2, -x+5/2', '-y+2, x-1/2, -z+5/2', 'x, z-1/2, y+1/2', 'z, -y+3/2, -x+5/2', '-x+5/2, y, -z+5/2', '-z+5/2, -x+2, y+1/2', 'y+1/2, -z+2, -x+5/2', 'y+1/2, -x+2, -z+5/2', '-x+5/2, -z+2, y+1/2', '-z+5/2, y, -x+5/2', '-x+5/2, -y+3/2, z', '-z+5/2, x-1/2, -y+2', 'y+1/2, z-1/2, x', 'y+1/2, x-1/2, z', '-x+5/2, z-1/2, -y+2', '-z+5/2, -y+3/2, x'], ['x, y, z', '-z+2, x, -y+2', 'y, -z+2, -x+2', 'y, x, z', 'x, -z+2, -y+2', '-z+2, y, -x+2', 'x, -y+5/2, -z+3/2', '-z+2, -x+5/2, y-1/2', 'y, z+1/2, x-1/2', 'y, -x+5/2, -z+3/2', 'x, z+1/2, y-1/2', '-z+2, -y+5/2, x-1/2', '-x+5/2, y, -z+3/2', 'z+1/2, x, y-1/2', '-y+5/2, -z+2, x-1/2', '-y+5/2, x, -z+3/2', '-x+5/2, -z+2, y-1/2', 'z+1/2, y, x-1/2', '-x+5/2, -y+5/2, z', 'z+1/2, -x+5/2, -y+2', '-y+5/2, z+1/2, -x+2', '-y+5/2, -x+5/2, z', '-x+5/2, z+1/2, -y+2', 'z+1/2, -y+5/2, -x+2']], [['x, y, z', 'z, x, y', 'y, z, x', 'y, x, z', 'x, z, y', 'z, y, x', 'x, -y+1/2, -z+1/2', 'z, -x+1/2, -y+1/2', 'y, -z+1/2, -x+1/2', 'y, -x+1/2, -z+1/2', 'x, -z+1/2, -y+1/2', 'z, -y+1/2, -x+1/2', '-x+1/2, y, -z+1/2', '-z+1/2, x, -y+1/2', '-y+1/2, z, -x+1/2', '-y+1/2, x, -z+1/2', '-x+1/2, z, -y+1/2', '-z+1/2, y, -x+1/2', '-x+1/2, -y+1/2, z', '-z+1/2, -x+1/2, y', '-y+1/2, -z+1/2, x', '-y+1/2, -x+1/2, z', '-x+1/2, -z+1/2, y', '-z+1/2, -y+1/2, x'], ['x, y, z', '-z+1, -x+1, y', '-y+1, z, -x+1', '-y+1, -x+1, z', 'x, z, y', '-z+1, y, -x+1', 'x, -y+3/2, -z+3/2', '-z+1, x+1/2, -y+3/2', '-y+1, -z+3/2, x+1/2', '-y+1, x+1/2, -z+3/2', 'x, -z+3/2, -y+3/2', '-z+1, -y+3/2, x+1/2', '-x+1/2, y, -z+3/2', 'z-1/2, -x+1, -y+3/2', 'y-1/2, z, x+1/2', 'y-1/2, -x+1, -z+3/2', '-x+1/2, z, -y+3/2', 'z-1/2, y, x+1/2', '-x+1/2, -y+3/2, z', 'z-1/2, x+1/2, y', 'y-1/2, -z+3/2, -x+1', 'y-1/2, x+1/2, z', '-x+1/2, -z+3/2, y', 'z-1/2, -y+3/2, -x+1'], ['x, y, z', 'z, -x+1, -y+1', '-y+1, -z+1, x', '-y+1, -x+1, z', 'x, -z+1, -y+1', 'z, y, x', 'x, -y+1/2, -z+3/2', 'z, x-1/2, y+1/2', '-y+1, z-1/2, -x+3/2', '-y+1, x-1/2, -z+3/2', 'x, z-1/2, y+1/2', 'z, -y+1/2, -x+3/2', '-x+3/2, y, -z+3/2', '-z+3/2, -x+1, y+1/2', 'y+1/2, -z+1, -x+3/2', 'y+1/2, -x+1, -z+3/2', '-x+3/2, -z+1, y+1/2', '-z+3/2, y, -x+3/2', '-x+3/2, -y+1/2, z', '-z+3/2, x-1/2, -y+1', 'y+1/2, z-1/2, x', 'y+1/2, x-1/2, z', '-x+3/2, z-1/2, -y+1', '-z+3/2, -y+1/2, x'], ['x, y, z', '-z+1, x, -y+1', 'y, -z+1, -x+1', 'y, x, z', 'x, -z+1, -y+1', '-z+1, y, -x+1', 'x, -y+3/2, -z+1/2', '-z+1, -x+3/2, y-1/2', 'y, z+1/2, x-1/2', 'y, -x+3/2, -z+1/2', 'x, z+1/2, y-1/2', '-z+1, -y+3/2, x-1/2', '-x+3/2, y, -z+1/2', 'z+1/2, x, y-1/2', '-y+3/2, -z+1, x-1/2', '-y+3/2, x, -z+1/2', '-x+3/2, -z+1, y-1/2', 'z+1/2, y, x-1/2', '-x+3/2, -y+3/2, z', 'z+1/2, -x+3/2, -y+1', '-y+3/2, z+1/2, -x+1', '-y+3/2, -x+3/2, z', '-x+3/2, z+1/2, -y+1', 'z+1/2, -y+3/2, -x+1']], [['x, y, z', '-x+1, -y+1, z', '-x+1, y, -z+1', 'x, -y+1, -z+1', 'z, x, y', 'z, -x+1, -y+1', '-z+1, -x+1, y', '-z+1, x, -y+1', 'y, z, x', '-y+1, z, -x+1', 'y, -z+1, -x+1', '-y+1, -z+1, x', 'y, x, z', '-y+1, -x+1, z', 'y, -x+1, -z+1', '-y+1, x, -z+1', 'x, z, y', '-x+1, z, -y+1', '-x+1, -z+1, y', 'x, -z+1, -y+1', 'z, y, x', 'z, -y+1, -x+1', '-z+1, y, -x+1', '-z+1, -y+1, x'], ['x, y, z', '-x+1, -y+2, z', '-x+1, y, -z+2', 'x, -y+2, -z+2', 'x, z, y', '-x+1, z, -y+2', '-x+1, -z+2, y', 'x, -z+2, -y+2', 'y-1/2, z, x+1/2', '-y+3/2, z, -x+3/2', 'y-1/2, -z+2, -x+3/2', '-y+3/2, -z+2, x+1/2', 'z-1/2, y, x+1/2', 'z-1/2, -y+2, -x+3/2', '-z+3/2, y, -x+3/2', '-z+3/2, -y+2, x+1/2', 'z-1/2, x+1/2, y', 'z-1/2, -x+3/2, -y+2', '-z+3/2, -x+3/2, y', '-z+3/2, x+1/2, -y+2', 'y-1/2, x+1/2, z', '-y+3/2, -x+3/2, z', 'y-1/2, -x+3/2, -z+2', '-y+3/2, x+1/2, -z+2'], ['x, y, z', '-x+2, -y+1, z', '-x+2, y, -z+2', 'x, -y+1, -z+2', 'z, y, x', 'z, -y+1, -x+2', '-z+2, y, -x+2', '-z+2, -y+1, x', 'z, x-1/2, y+1/2', 'z, -x+3/2, -y+3/2', '-z+2, -x+3/2, y+1/2', '-z+2, x-1/2, -y+3/2', 'x, z-1/2, y+1/2', '-x+2, z-1/2, -y+3/2', '-x+2, -z+3/2, y+1/2', 'x, -z+3/2, -y+3/2', 'y+1/2, z-1/2, x', '-y+3/2, z-1/2, -x+2', 'y+1/2, -z+3/2, -x+2', '-y+3/2, -z+3/2, x', 'y+1/2, x-1/2, z', '-y+3/2, -x+3/2, z', 'y+1/2, -x+3/2, -z+2', '-y+3/2, x-1/2, -z+2'], ['x, y, z', '-x+2, -y+2, z', '-x+2, y, -z+1', 'x, -y+2, -z+1', 'y, x, z', '-y+2, -x+2, z', 'y, -x+2, -z+1', '-y+2, x, -z+1', 'y, z+1/2, x-1/2', '-y+2, z+1/2, -x+3/2', 'y, -z+3/2, -x+3/2', '-y+2, -z+3/2, x-1/2', 'x, z+1/2, y-1/2', '-x+2, z+1/2, -y+3/2', '-x+2, -z+3/2, y-1/2', 'x, -z+3/2, -y+3/2', 'z+1/2, x, y-1/2', 'z+1/2, -x+2, -y+3/2', '-z+3/2, -x+2, y-1/2', '-z+3/2, x, -y+3/2', 'z+1/2, y, x-1/2', 'z+1/2, -y+2, -x+3/2', '-z+3/2, y, -x+3/2', '-z+3/2, -y+2, x-1/2']], [['x, y, z', '-x, -y, z', '-x, y, -z', 'x, -y, -z', 'z, x, y', 'z, -x, -y', '-z, -x, y', '-z, x, -y', 'y, z, x', '-y, z, -x', 'y, -z, -x', '-y, -z, x', 'y, x, z', '-y, -x, z', 'y, -x, -z', '-y, x, -z', 'x, z, y', '-x, z, -y', '-x, -z, y', 'x, -z, -y', 'z, y, x', 'z, -y, -x', '-z, y, -x', '-z, -y, x'], ['x, y, z', '-x, -y+1, z', '-x, y, -z+1', 'x, -y+1, -z+1', 'x, z, y', '-x, z, -y+1', '-x, -z+1, y', 'x, -z+1, -y+1', 'y-1/2, z, x+1/2', '-y+1/2, z, -x+1/2', 'y-1/2, -z+1, -x+1/2', '-y+1/2, -z+1, x+1/2', 'z-1/2, y, x+1/2', 'z-1/2, -y+1, -x+1/2', '-z+1/2, y, -x+1/2', '-z+1/2, -y+1, x+1/2', 'z-1/2, x+1/2, y', 'z-1/2, -x+1/2, -y+1', '-z+1/2, -x+1/2, y', '-z+1/2, x+1/2, -y+1', 'y-1/2, x+1/2, z', '-y+1/2, -x+1/2, z', 'y-1/2, -x+1/2, -z+1', '-y+1/2, x+1/2, -z+1'], ['x, y, z', '-x+1, -y, z', '-x+1, y, -z+1', 'x, -y, -z+1', 'z, y, x', 'z, -y, -x+1', '-z+1, y, -x+1', '-z+1, -y, x', 'z, x-1/2, y+1/2', 'z, -x+1/2, -y+1/2', '-z+1, -x+1/2, y+1/2', '-z+1, x-1/2, -y+1/2', 'x, z-1/2, y+1/2', '-x+1, z-1/2, -y+1/2', '-x+1, -z+1/2, y+1/2', 'x, -z+1/2, -y+1/2', 'y+1/2, z-1/2, x', '-y+1/2, z-1/2, -x+1', 'y+1/2, -z+1/2, -x+1', '-y+1/2, -z+1/2, x', 'y+1/2, x-1/2, z', '-y+1/2, -x+1/2, z', 'y+1/2, -x+1/2, -z+1', '-y+1/2, x-1/2, -z+1'], ['x, y, z', '-x+1, -y+1, z', '-x+1, y, -z', 'x, -y+1, -z', 'y, x, z', '-y+1, -x+1, z', 'y, -x+1, -z', '-y+1, x, -z', 'y, z+1/2, x-1/2', '-y+1, z+1/2, -x+1/2', 'y, -z+1/2, -x+1/2', '-y+1, -z+1/2, x-1/2', 'x, z+1/2, y-1/2', '-x+1, z+1/2, -y+1/2', '-x+1, -z+1/2, y-1/2', 'x, -z+1/2, -y+1/2', 'z+1/2, x, y-1/2', 'z+1/2, -x+1, -y+1/2', '-z+1/2, -x+1, y-1/2', '-z+1/2, x, -y+1/2', 'z+1/2, y, x-1/2', 'z+1/2, -y+1, -x+1/2', '-z+1/2, y, -x+1/2', '-z+1/2, -y+1, x-1/2']]]\"\n217,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', 'y, x, z'], ['x, y, z', 'y, x, z'], ['x, y, z', '-y, -x, z'], ['x, y, z', '-y, -x, z'], ['x, y, z', 'x, z, y'], ['x, y, z', 'x, z, y'], ['x, y, z', 'x, -z, -y'], ['x, y, z', 'x, -z, -y'], ['x, y, z', 'z, y, x'], ['x, y, z', 'z, y, x'], ['x, y, z', '-z, y, -x'], ['x, y, z', '-z, y, -x'], ['x, y, z', 'y, x, z'], ['x, y, z', 'y, x, z'], ['x, y, z', '-y+1, -x+1, z'], ['x, y, z', '-y+1, -x+1, z'], ['x, y, z', 'x, z, y'], ['x, y, z', 'x, z, y'], ['x, y, z', 'x, -z+1, -y+1'], ['x, y, z', 'x, -z+1, -y+1'], ['x, y, z', 'z, y, x'], ['x, y, z', 'z, y, x'], ['x, y, z', '-z+1, y, -x+1'], ['x, y, z', '-z+1, y, -x+1']], [['x, y, z', 'x, -y+1, -z'], ['x, y, z', 'x, -y+1, -z'], ['x, y, z', '-x, y, -z+1'], ['x, y, z', '-x, y, -z+1'], ['x, y, z', '-x+1, -y, z'], ['x, y, z', '-x+1, -y, z'], ['x, y, z', '-x+1, y, -z'], ['x, y, z', '-x+1, y, -z'], ['x, y, z', 'x, -y, -z+1'], ['x, y, z', 'x, -y, -z+1'], ['x, y, z', '-x, -y+1, z'], ['x, y, z', '-x, -y+1, z'], ['x, y, z', 'x, -y+2, -z+1'], ['x, y, z', 'x, -y+2, -z+1'], ['x, y, z', '-x+1, y, -z+2'], ['x, y, z', '-x+1, y, -z+2'], ['x, y, z', '-x+2, -y+1, z'], ['x, y, z', '-x+2, -y+1, z'], ['x, y, z', '-x+2, y, -z+1'], ['x, y, z', '-x+2, y, -z+1'], ['x, y, z', 'x, -y+1, -z+2'], ['x, y, z', 'x, -y+1, -z+2'], ['x, y, z', '-x+1, -y+2, z'], ['x, y, z', '-x+1, -y+2, z']], [['x, y, z', 'x, -y, -z', 'x, z, y', 'x, -z, -y'], ['x, y, z', 'x, -y, -z', 'x, z, y', 'x, -z, -y'], ['x, y, z', '-x, y, -z', 'z, y, x', '-z, y, -x'], ['x, y, z', '-x, y, -z', 'z, y, x', '-z, y, -x'], ['x, y, z', '-x, -y, z', 'y, x, z', '-y, -x, z'], ['x, y, z', '-x, -y, z', 'y, x, z', '-y, -x, z'], ['x, y, z', 'x, -y+1, -z+1', 'x, z, y', 'x, -z+1, -y+1'], ['x, y, z', 'x, -y+1, -z+1', 'x, z, y', 'x, -z+1, -y+1'], ['x, y, z', '-x+1, y, -z+1', 'z, y, x', '-z+1, y, -x+1'], ['x, y, z', '-x+1, y, -z+1', 'z, y, x', '-z+1, y, -x+1'], ['x, y, z', '-x+1, -y+1, z', 'y, x, z', '-y+1, -x+1, z'], ['x, y, z', '-x+1, -y+1, z', 'y, x, z', '-y+1, -x+1, z']], [['x, y, z', 'x, -y+1, -z', '-x+1/2, z+1/2, -y+1/2', '-x+1/2, -z+1/2, y-1/2'], ['x, y, z', 'x, -y+1, -z', '-x+3/2, z+1/2, -y+1/2', '-x+3/2, -z+1/2, y-1/2'], ['x, y, z', '-x, y, -z+1', 'z-1/2, -y+1/2, -x+1/2', '-z+1/2, -y+1/2, x+1/2'], ['x, y, z', '-x, y, -z+1', 'z-1/2, -y+3/2, -x+1/2', '-z+1/2, -y+3/2, x+1/2'], ['x, y, z', '-x+1, -y, z', 'y+1/2, -x+1/2, -z+1/2', '-y+1/2, x-1/2, -z+1/2'], ['x, y, z', '-x+1, -y, z', 'y+1/2, -x+1/2, -z+3/2', '-y+1/2, x-1/2, -z+3/2'], ['x, y, z', 'x, -y+2, -z+1', '-x+3/2, z+1/2, -y+3/2', '-x+3/2, -z+3/2, y-1/2'], ['x, y, z', 'x, -y+2, -z+1', '-x+5/2, z+1/2, -y+3/2', '-x+5/2, -z+3/2, y-1/2'], ['x, y, z', '-x+1, y, -z+2', 'z-1/2, -y+3/2, -x+3/2', '-z+3/2, -y+3/2, x+1/2'], ['x, y, z', '-x+1, y, -z+2', 'z-1/2, -y+5/2, -x+3/2', '-z+3/2, -y+5/2, x+1/2'], ['x, y, z', '-x+2, -y+1, z', 'y+1/2, -x+3/2, -z+3/2', '-y+3/2, x-1/2, -z+3/2'], ['x, y, z', '-x+2, -y+1, z', 'y+1/2, -x+3/2, -z+5/2', '-y+3/2, x-1/2, -z+5/2']], [['x, y, z', 'z, x, y', 'y, z, x', 'y, x, z', 'x, z, y', 'z, y, x'], ['x, y, z', '-z, x, -y', 'y, -z, -x', 'y, x, z', 'x, -z, -y', '-z, y, -x'], ['x, y, z', 'z, -x, -y', '-y, -z, x', '-y, -x, z', 'x, -z, -y', 'z, y, x'], ['x, y, z', '-z, -x, y', '-y, z, -x', '-y, -x, z', 'x, z, y', '-z, y, -x'], ['x, y, z', 'z, x, y', 'y, z, x', 'y, x, z', 'x, z, y', 'z, y, x'], ['x, y, z', '-z+1, x, -y+1', 'y, -z+1, -x+1', 'y, x, z', 'x, -z+1, -y+1', '-z+1, y, -x+1'], ['x, y, z', 'z, -x+1, -y+1', '-y+1, -z+1, x', '-y+1, -x+1, z', 'x, -z+1, -y+1', 'z, y, x'], ['x, y, z', '-z+1, -x+1, y', '-y+1, z, -x+1', '-y+1, -x+1, z', 'x, z, y', '-z+1, y, -x+1']], [['x, y, z', '-x, -y+1, z', '-x, y, -z+1', 'x, -y+1, -z+1', 'x, z, y', '-x, z, -y+1', '-x, -z+1, y', 'x, -z+1, -y+1'], ['x, y, z', '-x+1, -y, z', '-x+1, y, -z+1', 'x, -y, -z+1', 'z, y, x', 'z, -y, -x+1', '-z+1, y, -x+1', '-z+1, -y, x'], ['x, y, z', '-x+1, -y+1, z', '-x+1, y, -z', 'x, -y+1, -z', 'y, x, z', '-y+1, -x+1, z', 'y, -x+1, -z', '-y+1, x, -z'], ['x, y, z', '-x+1, -y+2, z', '-x+1, y, -z+2', 'x, -y+2, -z+2', 'x, z, y', '-x+1, z, -y+2', '-x+1, -z+2, y', 'x, -z+2, -y+2'], ['x, y, z', '-x+2, -y+1, z', '-x+2, y, -z+2', 'x, -y+1, -z+2', 'z, y, x', 'z, -y+1, -x+2', '-z+2, y, -x+2', '-z+2, -y+1, x'], ['x, y, z', '-x+2, -y+2, z', '-x+2, y, -z+1', 'x, -y+2, -z+1', 'y, x, z', '-y+2, -x+2, z', 'y, -x+2, -z+1', '-y+2, x, -z+1']], [['x, y, z', '-x, -y, z', '-x, y, -z', 'x, -y, -z', 'z, x, y', 'z, -x, -y', '-z, -x, y', '-z, x, -y', 'y, z, x', '-y, z, -x', 'y, -z, -x', '-y, -z, x', 'y, x, z', '-y, -x, z', 'y, -x, -z', '-y, x, -z', 'x, z, y', '-x, z, -y', '-x, -z, y', 'x, -z, -y', 'z, y, x', 'z, -y, -x', '-z, y, -x', '-z, -y, x'], ['x, y, z', '-x+1, -y+1, z', '-x+1, y, -z+1', 'x, -y+1, -z+1', 'z, x, y', 'z, -x+1, -y+1', '-z+1, -x+1, y', '-z+1, x, -y+1', 'y, z, x', '-y+1, z, -x+1', 'y, -z+1, -x+1', '-y+1, -z+1, x', 'y, x, z', '-y+1, -x+1, z', 'y, -x+1, -z+1', '-y+1, x, -z+1', 'x, z, y', '-x+1, z, -y+1', '-x+1, -z+1, y', 'x, -z+1, -y+1', 'z, y, x', 'z, -y+1, -x+1', '-z+1, y, -x+1', '-z+1, -y+1, x']]]\"\n218,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', 'x, -y, -z+1'], ['x, y, z', 'x, -y, -z+1'], ['x, y, z', '-x+1, y, -z'], ['x, y, z', '-x+1, y, -z'], ['x, y, z', '-x, -y+1, z'], ['x, y, z', '-x, -y+1, z'], ['x, y, z', '-x+1, y, -z'], ['x, y, z', '-x+1, y, -z'], ['x, y, z', 'x, -y, -z+1'], ['x, y, z', 'x, -y, -z+1'], ['x, y, z', '-x, -y+1, z'], ['x, y, z', '-x, -y+1, z']], [['x, y, z', 'x, -y+1, -z'], ['x, y, z', 'x, -y+1, -z'], ['x, y, z', '-x, y, -z+1'], ['x, y, z', '-x, y, -z+1'], ['x, y, z', '-x+1, -y, z'], ['x, y, z', '-x+1, -y, z'], ['x, y, z', '-x, y, -z+1'], ['x, y, z', '-x, y, -z+1'], ['x, y, z', 'x, -y+1, -z'], ['x, y, z', 'x, -y+1, -z'], ['x, y, z', '-x+1, -y, z'], ['x, y, z', '-x+1, -y, z']], [['x, y, z', 'x, -y, -z'], ['x, y, z', 'x, -y, -z'], ['x, y, z', '-x, y, -z'], ['x, y, z', '-x, y, -z'], ['x, y, z', '-x, -y, z'], ['x, y, z', '-x, -y, z'], ['x, y, z', '-x+1, y, -z+1'], ['x, y, z', '-x+1, y, -z+1'], ['x, y, z', 'x, -y+1, -z+1'], ['x, y, z', 'x, -y+1, -z+1'], ['x, y, z', '-x+1, -y+1, z'], ['x, y, z', '-x+1, -y+1, z']], [['x, y, z', 'z, x, y', 'y, z, x'], ['x, y, z', '-z, x, -y', 'y, -z, -x'], ['x, y, z', 'z, -x, -y', '-y, -z, x'], ['x, y, z', '-z, -x, y', '-y, z, -x'], ['x, y, z', 'z, x, y', 'y, z, x'], ['x, y, z', '-z+1, x, -y+1', 'y, -z+1, -x+1'], ['x, y, z', '-z+1, -x+1, y', '-y+1, z, -x+1'], ['x, y, z', 'z, -x+1, -y+1', '-y+1, -z+1, x']], [['x, y, z', 'x, -y, -z+1', '-x+1/2, z-1/2, -y+1/2', '-x+1/2, -z+1/2, y+1/2'], ['x, y, z', 'x, -y, -z+1', '-x+3/2, z-1/2, -y+1/2', '-x+3/2, -z+1/2, y+1/2'], ['x, y, z', '-x+1, y, -z', 'z+1/2, -y+1/2, -x+1/2', '-z+1/2, -y+1/2, x-1/2'], ['x, y, z', '-x+1, y, -z', 'z+1/2, -y+3/2, -x+1/2', '-z+1/2, -y+3/2, x-1/2'], ['x, y, z', '-x, -y+1, z', 'y-1/2, -x+1/2, -z+1/2', '-y+1/2, x+1/2, -z+1/2'], ['x, y, z', '-x, -y+1, z', 'y-1/2, -x+1/2, -z+3/2', '-y+1/2, x+1/2, -z+3/2']], [['x, y, z', 'x, -y+1, -z', '-x+1/2, z+1/2, -y+1/2', '-x+1/2, -z+1/2, y-1/2'], ['x, y, z', 'x, -y+1, -z', '-x+3/2, z+1/2, -y+1/2', '-x+3/2, -z+1/2, y-1/2'], ['x, y, z', '-x, y, -z+1', 'z-1/2, -y+1/2, -x+1/2', '-z+1/2, -y+1/2, x+1/2'], ['x, y, z', '-x, y, -z+1', 'z-1/2, -y+3/2, -x+1/2', '-z+1/2, -y+3/2, x+1/2'], ['x, y, z', '-x+1, -y, z', 'y+1/2, -x+1/2, -z+1/2', '-y+1/2, x-1/2, -z+1/2'], ['x, y, z', '-x+1, -y, z', 'y+1/2, -x+1/2, -z+3/2', '-y+1/2, x-1/2, -z+3/2']], [['x, y, z', '-x, -y+1, z', '-x, y, -z+1', 'x, -y+1, -z+1'], ['x, y, z', '-x+1, -y, z', '-x+1, y, -z+1', 'x, -y, -z+1'], ['x, y, z', '-x+1, -y+1, z', '-x+1, y, -z', 'x, -y+1, -z'], ['x, y, z', '-x, -y+1, z', '-x, y, -z', 'x, -y+1, -z'], ['x, y, z', '-x+1, -y, z', '-x+1, y, -z', 'x, -y, -z'], ['x, y, z', '-x, -y, z', '-x, y, -z+1', 'x, -y, -z+1']], [['x, y, z', '-x, -y, z', '-x, y, -z', 'x, -y, -z', 'z, x, y', 'z, -x, -y', '-z, -x, y', '-z, x, -y', 'y, z, x', '-y, z, -x', 'y, -z, -x', '-y, -z, x'], ['x, y, z', '-x+1, -y+1, z', '-x+1, y, -z+1', 'x, -y+1, -z+1', 'z, x, y', 'z, -x+1, -y+1', '-z+1, -x+1, y', '-z+1, x, -y+1', 'y, z, x', '-y+1, z, -x+1', 'y, -z+1, -x+1', '-y+1, -z+1, x']]]\"\n219,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', 'x, -y+1/2, -z+1/2'], ['x, y, z', 'x, -y+3/2, -z+1/2'], ['x, y, z', '-x+1/2, y, -z+1/2'], ['x, y, z', '-x+1/2, y, -z+3/2'], ['x, y, z', '-x+1/2, -y+1/2, z'], ['x, y, z', '-x+3/2, -y+1/2, z'], ['x, y, z', '-x+3/2, y, -z+3/2'], ['x, y, z', '-x+1/2, y, -z+3/2'], ['x, y, z', 'x, -y+3/2, -z+3/2'], ['x, y, z', 'x, -y+3/2, -z+1/2'], ['x, y, z', '-x+3/2, -y+3/2, z'], ['x, y, z', '-x+3/2, -y+1/2, z'], ['x, y, z', 'x, -y+3/2, -z+3/2'], ['x, y, z', 'x, 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-z+3/2'], ['x, y, z', '-x+3/2, y, -z+3/2'], ['x, y, z', 'x, -y+5/2, -z+3/2'], ['x, y, z', 'x, -y+5/2, -z+1/2'], ['x, y, z', '-x+5/2, -y+5/2, z'], ['x, y, z', '-x+5/2, -y+3/2, z']], [['x, y, z', 'x, -y, -z'], ['x, y, z', 'x, -y, -z'], ['x, y, z', '-x, y, -z'], ['x, y, z', '-x, y, -z'], ['x, y, z', '-x, -y, z'], ['x, y, z', '-x, -y, z'], ['x, y, z', '-x+1, y, -z+1'], ['x, y, z', '-x+1, y, -z+1'], ['x, y, z', 'x, -y+1, -z+1'], ['x, y, z', 'x, -y+1, -z+1'], ['x, y, z', '-x+1, -y+1, z'], ['x, y, z', '-x+1, -y+1, z'], ['x, y, z', 'x, -y+1, -z+1'], ['x, y, z', 'x, -y+1, -z+1'], ['x, y, z', '-x, y, -z+1'], ['x, y, z', '-x, y, -z+1'], ['x, y, z', '-x, -y+1, z'], ['x, y, z', '-x, -y+1, z'], ['x, y, z', '-x+1, y, -z+2'], ['x, y, z', '-x+1, y, -z+2'], ['x, y, z', 'x, -y+2, -z+2'], ['x, y, z', 'x, -y+2, -z+2'], ['x, y, z', '-x+1, -y+2, z'], ['x, y, z', '-x+1, -y+2, z'], ['x, y, z', 'x, -y, -z+1'], ['x, y, z', 'x, -y, -z+1'], ['x, y, z', '-x+1, y, -z+1'], ['x, y, z', '-x+1, y, -z+1'], ['x, y, z', 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x+1/2, -y+1'], ['x, y, z', '-y+1/2, -z+1, x+1/2', 'z-1/2, -x+1/2, -y+1'], ['x, y, z', '-y+1/2, z, -x+1/2', '-z+1/2, -x+1/2, y'], ['x, y, z', 'y-1/2, z, x+1/2', 'z-1/2, x+1/2, y'], ['x, y, z', 'y-1/2, -z+2, -x+3/2', '-z+3/2, x+1/2, -y+2'], ['x, y, z', '-y+3/2, z, -x+3/2', '-z+3/2, -x+3/2, y'], ['x, y, z', '-y+3/2, -z+2, x+1/2', 'z-1/2, -x+3/2, -y+2'], ['x, y, z', 'z, x-1/2, y+1/2', 'y+1/2, z-1/2, x'], ['x, y, z', '-z+1, x-1/2, -y+1/2', 'y+1/2, -z+1/2, -x+1'], ['x, y, z', 'z, -x+1/2, -y+1/2', '-y+1/2, -z+1/2, x'], ['x, y, z', '-z+1, -x+1/2, y+1/2', '-y+1/2, z-1/2, -x+1'], ['x, y, z', 'z, x-1/2, y+1/2', 'y+1/2, z-1/2, x'], ['x, y, z', '-z+2, x-1/2, -y+3/2', 'y+1/2, -z+3/2, -x+2'], ['x, y, z', '-z+2, -x+3/2, y+1/2', '-y+3/2, z-1/2, -x+2'], ['x, y, z', 'z, -x+3/2, -y+3/2', '-y+3/2, -z+3/2, x'], ['x, y, z', 'y, z+1/2, x-1/2', 'z+1/2, x, y-1/2'], ['x, y, z', 'y, -z+1/2, -x+1/2', '-z+1/2, x, -y+1/2'], ['x, y, z', '-y+1, -z+1/2, x-1/2', 'z+1/2, -x+1, -y+1/2'], ['x, y, z', '-y+1, z+1/2, -x+1/2', '-z+1/2, -x+1, y-1/2'], ['x, y, z', 'y, z+1/2, x-1/2', 'z+1/2, x, y-1/2'], ['x, y, z', 'y, -z+3/2, -x+3/2', '-z+3/2, x, -y+3/2'], ['x, y, z', '-y+2, z+1/2, -x+3/2', '-z+3/2, -x+2, y-1/2'], ['x, y, z', '-y+2, -z+3/2, x-1/2', 'z+1/2, -x+2, -y+3/2']], [['x, y, z', 'x, -y, -z', '-x+1/2, z, -y', '-x+1/2, -z, y'], ['x, y, z', 'x, -y, -z', '-x+3/2, z, -y', '-x+3/2, -z, y'], ['x, y, z', '-x, y, -z', 'z, -y+1/2, -x', '-z, -y+1/2, x'], ['x, y, z', '-x, y, -z', 'z, -y+3/2, -x', '-z, -y+3/2, x'], ['x, y, z', '-x, -y, z', 'y, -x, -z+1/2', '-y, x, -z+1/2'], ['x, y, z', '-x, -y, z', 'y, -x, -z+3/2', '-y, x, -z+3/2'], ['x, y, z', 'x, -y+1, -z+1', '-x+1/2, z, -y+1', '-x+1/2, -z+1, y'], ['x, y, z', 'x, -y+1, -z+1', '-x+3/2, z, -y+1', '-x+3/2, -z+1, y'], ['x, y, z', '-x, y, -z+1', 'z-1/2, -y+3/2, -x+1/2', '-z+1/2, -y+3/2, x+1/2'], ['x, y, z', '-x, y, -z+1', 'z-1/2, -y+5/2, -x+1/2', '-z+1/2, -y+5/2, x+1/2'], ['x, y, z', '-x, -y+1, z', 'y-1/2, -x+1/2, -z+3/2', '-y+1/2, x+1/2, -z+3/2'], ['x, y, z', '-x, -y+1, z', 'y-1/2, -x+1/2, -z+5/2', '-y+1/2, x+1/2, -z+5/2'], ['x, y, z', 'x, -y, -z+1', '-x+3/2, z-1/2, -y+1/2', '-x+3/2, -z+1/2, y+1/2'], ['x, y, z', 'x, -y, -z+1', '-x+5/2, z-1/2, -y+1/2', '-x+5/2, -z+1/2, y+1/2'], ['x, y, z', '-x+1, y, -z+1', 'z, -y+1/2, -x+1', '-z+1, -y+1/2, x'], ['x, y, z', '-x+1, y, -z+1', 'z, -y+3/2, -x+1', '-z+1, -y+3/2, x'], ['x, y, z', '-x+1, -y, z', 'y+1/2, -x+1/2, -z+3/2', '-y+1/2, x-1/2, -z+3/2'], ['x, y, z', '-x+1, -y, z', 'y+1/2, -x+1/2, -z+5/2', '-y+1/2, x-1/2, -z+5/2'], ['x, y, z', 'x, -y+1, -z', '-x+3/2, z+1/2, -y+1/2', '-x+3/2, -z+1/2, y-1/2'], ['x, y, z', 'x, -y+1, -z', '-x+5/2, z+1/2, -y+1/2', '-x+5/2, -z+1/2, y-1/2'], ['x, y, z', '-x+1, y, -z', 'z+1/2, -y+3/2, -x+1/2', '-z+1/2, -y+3/2, x-1/2'], ['x, y, z', '-x+1, y, -z', 'z+1/2, -y+5/2, -x+1/2', '-z+1/2, -y+5/2, x-1/2'], ['x, y, z', '-x+1, -y+1, z', 'y, -x+1, -z+1/2', '-y+1, x, -z+1/2'], ['x, y, z', '-x+1, -y+1, z', 'y, -x+1, -z+3/2', '-y+1, x, -z+3/2']], [['x, y, z', 'x, -y+1/2, -z+1/2', '-x, -z+1/2, y', '-x, z, -y+1/2'], ['x, y, z', 'x, -y+3/2, -z+1/2', '-x, z+1/2, -y+1', '-x, -z+1, y-1/2'], ['x, y, z', '-z+1/2, -y, x', '-x+1/2, y, -z+1/2', 'z, -y, -x+1/2'], ['x, y, z', 'z-1/2, -y, -x+1', '-x+1/2, y, -z+3/2', '-z+1, -y, x+1/2'], ['x, y, z', '-y+1/2, x, -z', 'y, -x+1/2, -z', '-x+1/2, -y+1/2, z'], ['x, y, z', 'y+1/2, -x+1, -z', '-y+1, x-1/2, -z', '-x+3/2, -y+1/2, z'], ['x, y, z', 'x, -y+3/2, -z+3/2', '-x, -z+3/2, y', '-x, z, -y+3/2'], ['x, y, z', 'x, -y+5/2, -z+3/2', '-x, z+1/2, -y+2', '-x, -z+2, y-1/2'], ['x, y, z', 'z-1/2, -y+1, -x+1', '-x+1/2, y, -z+3/2', '-z+1, -y+1, x+1/2'], ['x, y, z', '-z+3/2, -y+1, x+1', '-x+1/2, y, -z+5/2', 'z-1, -y+1, -x+3/2'], ['x, y, z', 'y-1/2, -x+1, -z+1', '-y+1, x+1/2, -z+1', '-x+1/2, -y+3/2, z'], ['x, y, z', '-y+3/2, x, -z+1', 'y, -x+3/2, -z+1', '-x+3/2, -y+3/2, z'], ['x, y, z', 'x, -y+1/2, -z+3/2', '-x+1, z-1/2, -y+1', '-x+1, -z+1, y+1/2'], ['x, y, z', 'x, -y+3/2, -z+3/2', '-x+1, -z+3/2, y', '-x+1, z, -y+3/2'], ['x, y, z', '-z+3/2, -y, x', '-x+3/2, y, -z+3/2', 'z, -y, -x+3/2'], ['x, y, z', 'z-1/2, -y, -x+2', '-x+3/2, y, -z+5/2', '-z+2, -y, x+1/2'], ['x, y, z', 'y+1/2, -x+1, -z+1', '-y+1, x-1/2, -z+1', '-x+3/2, -y+1/2, z'], ['x, y, z', '-y+3/2, x-1, -z+1', 'y+1, -x+3/2, -z+1', '-x+5/2, -y+1/2, z'], ['x, y, z', 'x, -y+3/2, -z+1/2', '-x+1, z+1/2, -y+1', '-x+1, -z+1, y-1/2'], ['x, y, z', 'x, -y+5/2, -z+1/2', '-x+1, -z+3/2, y-1', '-x+1, z+1, -y+3/2'], ['x, y, z', 'z+1/2, -y+1, -x+1', '-x+3/2, y, -z+1/2', '-z+1, -y+1, x-1/2'], ['x, y, z', '-z+3/2, -y+1, x', '-x+3/2, y, -z+3/2', 'z, -y+1, -x+3/2'], ['x, y, z', '-y+3/2, x, -z', 'y, -x+3/2, -z', '-x+3/2, -y+3/2, z'], ['x, y, z', 'y+1/2, -x+2, -z', '-y+2, x-1/2, -z', '-x+5/2, -y+3/2, z']], [['x, y, z', 'z, x, y', 'y, z, x', 'x, -y+1/2, -z+1/2', 'z, -x+1/2, -y+1/2', 'y, -z+1/2, -x+1/2', '-x+1/2, y, -z+1/2', '-z+1/2, x, -y+1/2', '-y+1/2, z, -x+1/2', '-x+1/2, -y+1/2, z', '-z+1/2, -x+1/2, y', '-y+1/2, -z+1/2, x'], ['x, y, z', 'z, x, y', 'y, z, x', 'x, -y+3/2, -z+3/2', 'z, -x+3/2, -y+3/2', 'y, -z+3/2, -x+3/2', '-x+3/2, y, -z+3/2', '-z+3/2, x, -y+3/2', '-y+3/2, z, -x+3/2', '-x+3/2, -y+3/2, z', '-z+3/2, -x+3/2, y', '-y+3/2, -z+3/2, x'], ['x, y, z', '-z+1, -x+1, y', '-y+1, z, -x+1', 'x, -y+3/2, -z+3/2', '-z+1, x+1/2, -y+3/2', '-y+1, -z+3/2, x+1/2', '-x+1/2, y, -z+3/2', 'z-1/2, -x+1, -y+3/2', 'y-1/2, z, x+1/2', '-x+1/2, -y+3/2, z', 'z-1/2, x+1/2, y', 'y-1/2, -z+3/2, -x+1'], ['x, y, z', '-z+2, -x+2, y', '-y+2, z, -x+2', 'x, -y+5/2, -z+5/2', '-z+2, x+1/2, -y+5/2', '-y+2, -z+5/2, x+1/2', '-x+3/2, y, -z+5/2', 'z-1/2, -x+2, -y+5/2', 'y-1/2, z, x+1/2', '-x+3/2, -y+5/2, z', 'z-1/2, x+1/2, y', 'y-1/2, -z+5/2, -x+2'], ['x, y, z', 'z, -x+1, -y+1', '-y+1, -z+1, x', 'x, -y+1/2, -z+3/2', 'z, x-1/2, y+1/2', '-y+1, z-1/2, -x+3/2', '-x+3/2, y, -z+3/2', '-z+3/2, -x+1, y+1/2', 'y+1/2, -z+1, -x+3/2', '-x+3/2, -y+1/2, z', '-z+3/2, x-1/2, -y+1', 'y+1/2, z-1/2, x'], ['x, y, z', 'z, -x+2, -y+2', '-y+2, -z+2, x', 'x, -y+3/2, -z+5/2', 'z, x-1/2, y+1/2', '-y+2, z-1/2, -x+5/2', '-x+5/2, y, -z+5/2', '-z+5/2, -x+2, y+1/2', 'y+1/2, -z+2, -x+5/2', '-x+5/2, -y+3/2, z', '-z+5/2, x-1/2, -y+2', 'y+1/2, z-1/2, x'], ['x, y, z', '-z+1, x, -y+1', 'y, -z+1, -x+1', 'x, -y+3/2, -z+1/2', '-z+1, -x+3/2, y-1/2', 'y, z+1/2, x-1/2', '-x+3/2, y, -z+1/2', 'z+1/2, x, y-1/2', '-y+3/2, -z+1, x-1/2', '-x+3/2, -y+3/2, z', 'z+1/2, -x+3/2, -y+1', '-y+3/2, z+1/2, -x+1'], ['x, y, z', '-z+2, x, -y+2', 'y, -z+2, -x+2', 'x, -y+5/2, -z+3/2', '-z+2, -x+5/2, y-1/2', 'y, z+1/2, x-1/2', '-x+5/2, y, -z+3/2', 'z+1/2, x, y-1/2', '-y+5/2, -z+2, x-1/2', '-x+5/2, -y+5/2, z', 'z+1/2, -x+5/2, -y+2', '-y+5/2, z+1/2, -x+2']], [['x, y, z', '-x, -y, z', '-x, y, -z', 'x, -y, -z', 'z, x, y', 'z, -x, -y', '-z, -x, y', '-z, x, -y', 'y, z, x', '-y, z, -x', 'y, -z, -x', '-y, -z, x'], ['x, y, z', '-x+1, -y+1, z', '-x+1, y, -z+1', 'x, -y+1, -z+1', 'z, x, y', 'z, -x+1, -y+1', '-z+1, -x+1, y', '-z+1, x, -y+1', 'y, z, x', '-y+1, z, -x+1', 'y, -z+1, -x+1', '-y+1, -z+1, x'], ['x, y, z', '-x, -y+1, z', '-x, y, -z+1', 'x, -y+1, -z+1', 'y-1/2, z, x+1/2', '-y+1/2, z, -x+1/2', 'y-1/2, -z+1, -x+1/2', '-y+1/2, -z+1, x+1/2', 'z-1/2, x+1/2, y', 'z-1/2, -x+1/2, -y+1', '-z+1/2, -x+1/2, y', '-z+1/2, x+1/2, -y+1'], ['x, y, z', '-x+1, -y+2, z', '-x+1, y, -z+2', 'x, -y+2, -z+2', 'y-1/2, z, x+1/2', '-y+3/2, z, -x+3/2', 'y-1/2, -z+2, -x+3/2', '-y+3/2, -z+2, x+1/2', 'z-1/2, x+1/2, y', 'z-1/2, -x+3/2, -y+2', '-z+3/2, -x+3/2, y', '-z+3/2, x+1/2, -y+2'], ['x, y, z', '-x+1, -y, z', '-x+1, y, -z+1', 'x, -y, -z+1', 'z, x-1/2, y+1/2', 'z, -x+1/2, -y+1/2', '-z+1, -x+1/2, y+1/2', '-z+1, x-1/2, -y+1/2', 'y+1/2, z-1/2, x', '-y+1/2, z-1/2, -x+1', 'y+1/2, -z+1/2, -x+1', '-y+1/2, -z+1/2, x'], ['x, y, z', '-x+2, -y+1, z', '-x+2, y, -z+2', 'x, -y+1, -z+2', 'z, x-1/2, y+1/2', 'z, -x+3/2, -y+3/2', '-z+2, -x+3/2, y+1/2', '-z+2, x-1/2, -y+3/2', 'y+1/2, z-1/2, x', '-y+3/2, z-1/2, -x+2', 'y+1/2, -z+3/2, -x+2', '-y+3/2, -z+3/2, x'], ['x, y, z', '-x+1, -y+1, z', '-x+1, y, -z', 'x, -y+1, -z', 'y, z+1/2, x-1/2', '-y+1, z+1/2, -x+1/2', 'y, -z+1/2, -x+1/2', '-y+1, -z+1/2, x-1/2', 'z+1/2, x, y-1/2', 'z+1/2, -x+1, -y+1/2', '-z+1/2, -x+1, y-1/2', '-z+1/2, x, -y+1/2'], ['x, y, z', '-x+2, -y+2, z', '-x+2, y, -z+1', 'x, -y+2, -z+1', 'y, z+1/2, x-1/2', '-y+2, z+1/2, -x+3/2', 'y, -z+3/2, -x+3/2', '-y+2, -z+3/2, x-1/2', 'z+1/2, x, y-1/2', 'z+1/2, -x+2, -y+3/2', '-z+3/2, -x+2, y-1/2', '-z+3/2, x, -y+3/2']]]\"\n220,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', 'x, -y, -z+1/2'], ['x, y, z', 'x, -y, -z+3/2'], ['x, y, z', '-x+1/2, y, -z'], ['x, y, z', '-x+3/2, y, -z'], ['x, y, z', '-x, -y+1/2, z'], ['x, y, z', '-x, -y+3/2, z'], ['x, y, z', '-x+1/2, y, -z+1'], ['x, y, z', '-x+1/2, y, -z'], ['x, y, z', 'x, -y+1, -z+1/2'], ['x, y, z', 'x, -y, -z+1/2'], ['x, y, z', '-x+1, -y+1/2, z'], ['x, y, z', '-x, -y+1/2, z'], ['x, y, z', 'x, -y+1, -z+3/2'], ['x, y, z', 'x, -y+1, -z+5/2'], ['x, y, z', '-x+3/2, y, -z+1'], ['x, y, z', '-x+5/2, y, -z+1'], ['x, y, z', '-x+1, -y+3/2, z'], ['x, y, z', '-x+1, -y+5/2, z'], ['x, y, z', '-x+3/2, y, -z+2'], ['x, y, z', '-x+3/2, y, -z+1'], ['x, y, z', 'x, -y+2, -z+3/2'], ['x, y, z', 'x, -y+1, -z+3/2'], ['x, y, z', '-x+2, -y+3/2, z'], ['x, y, z', '-x+1, -y+3/2, z']], [['x, y, z', 'z, x, y', 'y, z, x'], ['x, y, z', '-z+1, x-1/2, -y+1/2', 'y+1/2, -z+1/2, -x+1'], ['x, y, z', 'z-1/2, -x+1/2, -y+1', '-y+1/2, -z+1, x+1/2'], ['x, y, z', '-z+1/2, -x+1, y-1/2', '-y+1, z+1/2, -x+1/2'], ['x, y, z', 'z, x, y', 'y, z, x'], ['x, y, z', '-z+1, x+1/2, -y+3/2', 'y-1/2, -z+3/2, -x+1'], ['x, y, z', '-z+3/2, -x+1, y+1/2', '-y+1, z-1/2, -x+3/2'], ['x, y, z', 'z+1/2, -x+3/2, -y+1', '-y+3/2, -z+1, x-1/2'], ['x, y, z', 'z, x, y', 'y, z, x'], ['x, y, z', '-z+2, x-1/2, -y+3/2', 'y+1/2, -z+3/2, -x+2'], ['x, y, z', 'z-1/2, -x+3/2, -y+2', '-y+3/2, -z+2, x+1/2'], ['x, y, z', '-z+3/2, -x+2, y-1/2', '-y+2, z+1/2, -x+3/2'], ['x, y, z', 'z, x, y', 'y, z, x'], ['x, y, z', '-z+2, x+1/2, -y+5/2', 'y-1/2, -z+5/2, -x+2'], ['x, y, z', '-z+5/2, -x+2, y+1/2', '-y+2, z-1/2, -x+5/2'], ['x, y, z', 'z+1/2, -x+5/2, -y+2', '-y+5/2, -z+2, x-1/2']], [['x, y, z', '-x+7/4, z-1/4, -y+1/4', 'x, -y, -z+1/2', '-x+7/4, -z+1/4, y+1/4'], ['x, y, z', '-x+5/4, -z+3/4, y+3/4', 'x, -y, -z+3/2', '-x+5/4, z-3/4, -y+3/4'], ['x, y, z', '-z+1/4, -y+7/4, x-1/4', '-x+1/2, y, -z', 'z+1/4, -y+7/4, -x+1/4'], ['x, y, z', 'z+3/4, -y+5/4, -x+3/4', '-x+3/2, y, -z', '-z+3/4, -y+5/4, x-3/4'], ['x, y, z', 'y-1/4, -x+1/4, -z+7/4', '-x, -y+1/2, z', '-y+1/4, x+1/4, -z+7/4'], ['x, y, z', '-y+3/4, x+3/4, -z+5/4', '-x, -y+3/2, z', 'y-3/4, -x+3/4, -z+5/4'], ['x, y, z', '-x+11/4, z-1/4, -y+5/4', 'x, -y+1, -z+3/2', '-x+11/4, -z+5/4, y+1/4'], ['x, y, z', '-x+9/4, -z+7/4, y+3/4', 'x, -y+1, -z+5/2', '-x+9/4, z-3/4, -y+7/4'], ['x, y, z', '-z+5/4, -y+11/4, x-1/4', '-x+3/2, y, -z+1', 'z+1/4, -y+11/4, -x+5/4'], ['x, y, z', 'z+3/4, -y+9/4, -x+7/4', '-x+5/2, y, -z+1', '-z+7/4, -y+9/4, x-3/4'], ['x, y, z', 'y-1/4, -x+5/4, -z+11/4', '-x+1, -y+3/2, z', '-y+5/4, x+1/4, -z+11/4'], ['x, y, z', '-y+7/4, x+3/4, -z+9/4', '-x+1, -y+5/2, z', 'y-3/4, -x+7/4, -z+9/4']], [['x, y, z', '-x+3/4, z-1/4, -y+1/4', 'x, -y, -z+1/2', '-x+3/4, -z+1/4, y+1/4'], ['x, y, z', '-x+1/4, -z+3/4, y+3/4', 'x, -y, -z+3/2', '-x+1/4, z-3/4, -y+3/4'], ['x, y, z', '-z+1/4, -y+3/4, x-1/4', '-x+1/2, y, -z', 'z+1/4, -y+3/4, -x+1/4'], ['x, y, z', 'z+3/4, -y+1/4, -x+3/4', '-x+3/2, y, -z', '-z+3/4, -y+1/4, x-3/4'], ['x, y, z', 'y-1/4, -x+1/4, -z+3/4', '-x, -y+1/2, z', '-y+1/4, x+1/4, -z+3/4'], ['x, y, z', '-y+3/4, x+3/4, -z+1/4', '-x, -y+3/2, z', 'y-3/4, -x+3/4, -z+1/4'], ['x, y, z', '-x+7/4, z-1/4, -y+5/4', 'x, -y+1, -z+3/2', '-x+7/4, -z+5/4, y+1/4'], ['x, y, z', '-x+5/4, -z+7/4, y+3/4', 'x, -y+1, -z+5/2', '-x+5/4, z-3/4, -y+7/4'], ['x, y, z', '-z+5/4, -y+7/4, x-1/4', '-x+3/2, y, -z+1', 'z+1/4, -y+7/4, -x+5/4'], ['x, y, z', 'z+3/4, -y+5/4, -x+7/4', '-x+5/2, y, -z+1', '-z+7/4, -y+5/4, x-3/4'], ['x, y, z', 'y-1/4, -x+5/4, -z+7/4', '-x+1, -y+3/2, z', '-y+5/4, x+1/4, -z+7/4'], ['x, y, z', '-y+7/4, x+3/4, -z+5/4', '-x+1, -y+5/2, z', 'y-3/4, -x+7/4, -z+5/4']]]\"\n221,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], 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z'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, -y+1, z'], ['x, y, z', 'x, -y+1, z'], ['x, y, z', 'x, -y+1, z'], ['x, y, z', 'x, -y+1, z'], ['x, y, z', '-x+1, y, z'], ['x, y, z', '-x+1, y, z'], ['x, y, z', '-x+1, y, z'], ['x, y, z', '-x+1, y, z'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1']], [['x, y, z', '-x, y, z'], ['x, y, z', '-x, y, z'], ['x, y, z', '-x, y, z'], ['x, y, z', '-x, y, z'], ['x, y, z', 'x, -y, z'], ['x, y, z', 'x, -y, z'], ['x, y, z', 'x, -y, z'], ['x, y, z', 'x, -y, z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, -y, z'], ['x, y, z', 'x, -y, z'], ['x, y, z', 'x, -y, z'], ['x, y, z', 'x, -y, z'], ['x, y, z', '-x, y, z'], ['x, y, z', '-x, y, z'], ['x, y, z', '-x, y, z'], ['x, y, z', '-x, y, z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 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x, z'], ['x, y, z', 'x, -y+3/2, -z+3/2', 'x, z, -y+3/2', 'x, -z+3/2, y'], ['x, y, z', 'x, -y+3/2, -z+3/2', 'x, z, -y+3/2', 'x, -z+3/2, y'], ['x, y, z', '-x+3/2, y, -z+3/2', 'z, y, -x+3/2', '-z+3/2, y, x'], ['x, y, z', '-x+3/2, y, -z+3/2', 'z, y, -x+3/2', '-z+3/2, y, x'], ['x, y, z', '-x+3/2, -y+3/2, z', 'y, -x+3/2, z', '-y+3/2, x, z'], ['x, y, z', '-x+3/2, -y+3/2, z', 'y, -x+3/2, z', '-y+3/2, x, z']], [['x, y, z', 'x, -y+3/2, -z+1/2', '-x, -z+1, y-1/2', '-x, z+1/2, -y+1'], ['x, y, z', 'x, -y+3/2, -z+1/2', '-x+1, -z+1, y-1/2', '-x+1, z+1/2, -y+1'], ['x, y, z', '-x+1/2, y, -z+3/2', '-z+1, -y, x+1/2', 'z-1/2, -y, -x+1'], ['x, y, z', '-x+1/2, y, -z+3/2', '-z+1, -y+1, x+1/2', 'z-1/2, -y+1, -x+1'], ['x, y, z', '-x+3/2, -y+1/2, z', '-y+1, x-1/2, -z', 'y+1/2, -x+1, -z'], ['x, y, z', '-x+3/2, -y+1/2, z', '-y+1, x-1/2, -z+1', 'y+1/2, -x+1, -z+1'], ['x, y, z', '-x+3/2, y, -z+1/2', '-z+1, -y, x-1/2', 'z+1/2, -y, -x+1'], ['x, y, z', '-x+3/2, y, -z+1/2', '-z+1, -y+1, x-1/2', 'z+1/2, -y+1, -x+1'], ['x, y, z', 'x, -y+1/2, -z+3/2', '-x, -z+1, y+1/2', '-x, z-1/2, -y+1'], ['x, y, z', 'x, -y+1/2, -z+3/2', '-x+1, -z+1, y+1/2', '-x+1, z-1/2, -y+1'], ['x, y, z', '-x+1/2, -y+3/2, z', '-y+1, x+1/2, -z+1', 'y-1/2, -x+1, -z+1'], ['x, y, z', '-x+1/2, -y+3/2, z', '-y+1, x+1/2, -z', 'y-1/2, -x+1, -z']], [['x, y, z', 'z, x, y', 'y, z, x', '-x, -y, -z', '-z, -x, -y', '-y, -z, -x'], ['x, y, z', '-z+1/2, x, -y+1/2', 'y, -z+1/2, -x+1/2', '-x+1, -y+1, -z', 'z+1/2, -x+1, y-1/2', '-y+1, z+1/2, x-1/2'], ['x, y, z', 'z, -x+1/2, -y+1/2', '-y+1/2, -z+1/2, x', '-x+1, -y, -z+1', '-z+1, x-1/2, y+1/2', 'y+1/2, z-1/2, -x+1'], ['x, y, z', '-z+1/2, -x+1/2, y', '-y+1/2, z, -x+1/2', '-x, -y+1, -z+1', 'z-1/2, x+1/2, -y+1', 'y-1/2, -z+1, x+1/2'], ['x, y, z', '-z+1/2, x, -y+1/2', 'y, -z+1/2, -x+1/2', '-x, -y, -z+1', 'z-1/2, -x, y+1/2', '-y, z-1/2, x+1/2'], ['x, y, z', 'z, x, y', 'y, z, x', '-x+1, -y+1, -z+1', '-z+1, -x+1, -y+1', '-y+1, -z+1, -x+1'], ['x, y, z', 'z, -x+1/2, -y+1/2', '-y+1/2, -z+1/2, x', '-x, -y+1, -z', '-z, x+1/2, y-1/2', 'y-1/2, z+1/2, -x'], ['x, y, z', '-z+1/2, -x+1/2, y', '-y+1/2, z, -x+1/2', '-x+1, -y, -z', 'z+1/2, x-1/2, -y', 'y+1/2, -z, x-1/2']], [['x, y, z', '-x+3/2, -y+1/2, z', '-x+3/2, y, -z+1/2', 'x, -y+1/2, -z+1/2', 'x, z, -y+1/2', '-x+3/2, z, y', '-x+3/2, -z+1/2, -y+1/2', 'x, -z+1/2, y'], ['x, y, z', '-x+1/2, -y+3/2, z', '-x+1/2, y, -z+1/2', 'x, -y+3/2, -z+1/2', 'z, y, -x+1/2', 'z, -y+3/2, x', '-z+1/2, y, x', '-z+1/2, -y+3/2, -x+1/2'], ['x, y, z', '-x+1/2, -y+1/2, z', '-x+1/2, y, -z+3/2', 'x, -y+1/2, -z+3/2', 'y, x, -z+3/2', '-y+1/2, -x+1/2, -z+3/2', 'y, -x+1/2, z', '-y+1/2, x, z'], ['x, y, z', '-x+1/2, -y+3/2, z', '-x+1/2, y, -z+3/2', 'x, -y+3/2, -z+3/2', 'x, z, -y+3/2', '-x+1/2, z, y', '-x+1/2, -z+3/2, -y+3/2', 'x, -z+3/2, y'], ['x, y, z', '-x+3/2, -y+1/2, z', '-x+3/2, y, -z+3/2', 'x, -y+1/2, -z+3/2', 'z, y, -x+3/2', 'z, -y+1/2, x', '-z+3/2, y, x', '-z+3/2, -y+1/2, -x+3/2'], ['x, y, z', '-x+3/2, -y+3/2, z', '-x+3/2, y, -z+1/2', 'x, -y+3/2, -z+1/2', 'y, x, -z+1/2', '-y+3/2, -x+3/2, -z+1/2', 'y, -x+3/2, z', '-y+3/2, x, z']], [['x, y, z', '-x+1/2, -y+1/2, z', '-x+1/2, y, -z+1/2', 'x, -y+1/2, -z+1/2', 'z, x, y', 'z, -x+1/2, -y+1/2', '-z+1/2, -x+1/2, y', '-z+1/2, x, -y+1/2', 'y, z, x', '-y+1/2, z, -x+1/2', 'y, -z+1/2, -x+1/2', '-y+1/2, -z+1/2, x', 'y, x, -z+1/2', '-y+1/2, -x+1/2, -z+1/2', 'y, -x+1/2, z', '-y+1/2, x, z', 'x, z, -y+1/2', '-x+1/2, z, y', '-x+1/2, -z+1/2, -y+1/2', 'x, -z+1/2, y', 'z, y, -x+1/2', 'z, -y+1/2, x', '-z+1/2, y, x', '-z+1/2, -y+1/2, -x+1/2'], ['x, y, z', '-x+3/2, -y+3/2, z', '-x+3/2, y, -z+3/2', 'x, -y+3/2, -z+3/2', 'z, x, y', 'z, -x+3/2, -y+3/2', '-z+3/2, -x+3/2, y', '-z+3/2, x, -y+3/2', 'y, z, x', '-y+3/2, z, -x+3/2', 'y, -z+3/2, -x+3/2', '-y+3/2, -z+3/2, x', 'y, x, -z+3/2', '-y+3/2, -x+3/2, -z+3/2', 'y, -x+3/2, z', '-y+3/2, x, z', 'x, z, -y+3/2', '-x+3/2, z, y', '-x+3/2, -z+3/2, -y+3/2', 'x, -z+3/2, y', 'z, y, -x+3/2', 'z, -y+3/2, x', '-z+3/2, y, x', '-z+3/2, -y+3/2, -x+3/2']]]\"\n223,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-x, y, z'], ['x, y, z', '-x, y, z'], ['x, y, z', '-x, y, z'], ['x, y, z', '-x, y, z'], ['x, y, z', 'x, -y, z'], ['x, y, z', 'x, -y, z'], ['x, y, z', 'x, -y, z'], ['x, y, z', 'x, -y, z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, y, -z'], ['x, y, z', 'x, -y+1, z'], ['x, y, z', 'x, -y+1, z'], ['x, y, z', 'x, -y+1, z'], ['x, y, z', 'x, -y+1, z'], ['x, y, z', '-x+1, y, z'], ['x, y, z', '-x+1, y, z'], ['x, y, z', '-x+1, y, z'], ['x, y, z', '-x+1, y, z'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1']], [['x, y, z', '-x+1/2, z-1/2, y+1/2'], ['x, y, z', '-x+3/2, -z+1/2, -y+1/2'], ['x, y, z', '-x+3/2, -z+1/2, -y+1/2'], ['x, y, z', '-x+1/2, z-1/2, y+1/2'], ['x, y, z', 'z+1/2, -y+1/2, x-1/2'], ['x, y, z', '-z+1/2, -y+3/2, -x+1/2'], ['x, y, z', '-z+1/2, -y+3/2, -x+1/2'], ['x, y, z', 'z+1/2, -y+1/2, x-1/2'], ['x, y, z', 'y-1/2, x+1/2, -z+1/2'], ['x, y, z', '-y+1/2, -x+1/2, -z+3/2'], ['x, y, z', '-y+1/2, -x+1/2, -z+3/2'], ['x, y, z', 'y-1/2, x+1/2, -z+1/2'], ['x, y, z', '-x+3/2, z-1/2, y+1/2'], ['x, y, z', '-x+1/2, -z+1/2, -y+1/2'], ['x, y, z', '-x+1/2, -z+1/2, -y+1/2'], ['x, y, z', '-x+3/2, z-1/2, y+1/2'], ['x, y, z', 'z+1/2, -y+3/2, x-1/2'], ['x, y, z', '-z+1/2, -y+1/2, -x+1/2'], ['x, y, z', '-z+1/2, -y+1/2, -x+1/2'], ['x, y, z', 'z+1/2, -y+3/2, x-1/2'], ['x, y, z', 'y-1/2, x+1/2, -z+3/2'], ['x, y, z', '-y+1/2, -x+1/2, -z+1/2'], ['x, y, z', '-y+1/2, -x+1/2, -z+1/2'], ['x, y, z', 'y-1/2, x+1/2, -z+3/2']], [['x, y, z', 'z, x, y', 'y, z, x'], ['x, y, z', '-z, x, -y', 'y, -z, -x'], ['x, y, z', 'z, -x, -y', '-y, -z, x'], ['x, y, z', '-z, -x, y', '-y, z, -x'], ['x, y, z', '-z+1, x, -y+1', 'y, -z+1, -x+1'], ['x, y, z', 'z, x, y', 'y, z, x'], ['x, y, z', 'z, -x+1, -y+1', '-y+1, -z+1, x'], ['x, y, z', '-z+1, -x+1, y', '-y+1, z, -x+1'], ['x, y, z', 'z, x, y', 'y, z, x'], ['x, y, z', '-z, x, -y', 'y, -z, -x'], ['x, y, z', 'z, -x, -y', '-y, -z, x'], ['x, y, z', '-z, -x, y', '-y, z, -x'], ['x, y, z', '-z+1, x, -y+1', 'y, -z+1, -x+1'], ['x, y, z', 'z, x, y', 'y, z, x'], ['x, y, z', 'z, -x+1, -y+1', '-y+1, -z+1, x'], ['x, y, z', '-z+1, -x+1, y', '-y+1, z, -x+1']], [['x, y, z', 'x, -y+1, -z', 'x, y, -z', 'x, -y+1, z'], ['x, y, z', 'x, -y+1, -z', 'x, y, -z', 'x, -y+1, z'], ['x, y, z', '-x, y, -z+1', 'x, y, -z+1', '-x, y, z'], ['x, y, z', '-x, y, -z+1', 'x, y, -z+1', '-x, y, z'], ['x, y, z', '-x+1, -y, z', 'x, -y, z', '-x+1, y, z'], ['x, y, z', '-x+1, -y, z', 'x, -y, z', '-x+1, y, z'], ['x, y, z', '-x, y, -z+1', 'x, y, -z+1', '-x, y, z'], ['x, y, z', '-x, y, -z+1', 'x, y, -z+1', '-x, y, z'], ['x, y, z', 'x, -y+1, -z', 'x, y, -z', 'x, -y+1, z'], ['x, y, z', 'x, -y+1, -z', 'x, y, -z', 'x, -y+1, z'], ['x, y, z', '-x+1, -y, z', 'x, -y, z', '-x+1, y, z'], ['x, y, z', '-x+1, -y, z', 'x, -y, z', '-x+1, y, z']], [['x, y, z', 'x, -y, -z+1', 'x, y, -z+1', 'x, -y, z'], ['x, y, z', 'x, -y, -z+1', 'x, y, -z+1', 'x, -y, z'], ['x, y, z', '-x+1, y, -z', 'x, y, -z', '-x+1, y, z'], ['x, y, z', '-x+1, y, -z', 'x, y, -z', '-x+1, y, z'], ['x, y, z', '-x, -y+1, z', 'x, -y+1, z', '-x, y, z'], ['x, y, z', '-x, -y+1, z', 'x, -y+1, z', '-x, y, z'], ['x, y, z', '-x+1, y, -z', 'x, y, -z', '-x+1, y, z'], ['x, y, z', '-x+1, y, -z', 'x, y, -z', '-x+1, y, z'], ['x, y, z', 'x, -y, -z+1', 'x, y, -z+1', 'x, -y, z'], ['x, y, z', 'x, -y, -z+1', 'x, y, -z+1', 'x, -y, z'], ['x, y, z', '-x, -y+1, z', 'x, -y+1, z', '-x, y, z'], ['x, y, z', '-x, -y+1, z', 'x, -y+1, z', '-x, y, z']], [['x, y, z', 'x, -y, -z', 'x, y, -z', 'x, -y, z'], ['x, y, z', 'x, -y, -z', 'x, y, -z', 'x, -y, z'], ['x, y, z', '-x, y, -z', 'x, y, -z', '-x, y, z'], ['x, y, z', '-x, y, -z', 'x, y, -z', '-x, y, z'], ['x, y, z', '-x, -y, z', 'x, -y, z', '-x, y, z'], ['x, y, z', '-x, -y, z', 'x, -y, z', '-x, y, z'], ['x, y, z', '-x+1, y, -z+1', 'x, y, -z+1', '-x+1, y, z'], ['x, y, z', '-x+1, y, -z+1', 'x, y, -z+1', '-x+1, y, z'], ['x, y, z', 'x, -y+1, -z+1', 'x, y, -z+1', 'x, -y+1, z'], ['x, y, z', 'x, -y+1, -z+1', 'x, y, -z+1', 'x, -y+1, z'], ['x, y, z', '-x+1, -y+1, z', 'x, -y+1, z', '-x+1, y, z'], ['x, y, z', '-x+1, -y+1, z', 'x, -y+1, z', '-x+1, y, z']], [['x, y, z', 'z, x, y', 'y, z, x', '-y+1/2, -x+1/2, -z+1/2', '-x+1/2, -z+1/2, -y+1/2', '-z+1/2, -y+1/2, -x+1/2'], ['x, y, z', '-z+1, x, -y+1', 'y, -z+1, -x+1', '-y+3/2, -x+3/2, -z+1/2', '-x+3/2, z+1/2, y-1/2', 'z+1/2, -y+3/2, x-1/2'], ['x, y, z', 'z, -x+1, -y+1', '-y+1, -z+1, x', 'y+1/2, x-1/2, -z+3/2', '-x+3/2, z-1/2, y+1/2', '-z+3/2, -y+1/2, -x+3/2'], ['x, y, z', '-z+1, -x+1, y', '-y+1, z, -x+1', 'y-1/2, x+1/2, -z+3/2', '-x+1/2, -z+3/2, -y+3/2', 'z-1/2, -y+3/2, x+1/2'], ['x, y, z', 'z, x, y', 'y, z, x', '-y+3/2, -x+3/2, -z+3/2', '-x+3/2, -z+3/2, -y+3/2', '-z+3/2, -y+3/2, -x+3/2'], ['x, y, z', '-z+1, x, -y+1', 'y, -z+1, -x+1', '-y+1/2, -x+1/2, -z+3/2', '-x+1/2, z-1/2, y+1/2', 'z-1/2, -y+1/2, x+1/2'], ['x, y, z', 'z, -x+1, -y+1', '-y+1, -z+1, x', 'y-1/2, x+1/2, -z+1/2', '-x+1/2, z+1/2, y-1/2', '-z+1/2, -y+3/2, -x+1/2'], ['x, y, z', '-z+1, -x+1, y', '-y+1, z, -x+1', 'y+1/2, x-1/2, -z+1/2', '-x+3/2, -z+1/2, -y+1/2', 'z+1/2, -y+1/2, x-1/2']], [['x, y, z', 'x, -y+1, -z', '-x+1/2, z+1/2, y-1/2', '-x+1/2, -z+1/2, -y+1/2', 'x, y, -z', 'x, -y+1, z', '-x+1/2, -z+1/2, y-1/2', '-x+1/2, z+1/2, -y+1/2'], ['x, y, z', 'x, -y+1, -z', '-x+3/2, z+1/2, y-1/2', '-x+3/2, -z+1/2, -y+1/2', 'x, y, -z', 'x, -y+1, z', '-x+3/2, -z+1/2, y-1/2', '-x+3/2, z+1/2, -y+1/2'], ['x, y, z', '-x, y, -z+1', 'z-1/2, -y+1/2, x+1/2', '-z+1/2, -y+1/2, -x+1/2', 'x, y, -z+1', '-x, y, z', '-z+1/2, -y+1/2, x+1/2', 'z-1/2, -y+1/2, -x+1/2'], ['x, y, z', '-x, y, -z+1', 'z-1/2, -y+3/2, x+1/2', '-z+1/2, -y+3/2, -x+1/2', 'x, y, -z+1', '-x, y, z', '-z+1/2, -y+3/2, x+1/2', 'z-1/2, -y+3/2, -x+1/2'], ['x, y, z', '-x+1, -y, z', 'y+1/2, x-1/2, -z+1/2', '-y+1/2, -x+1/2, -z+1/2', 'x, -y, z', '-x+1, y, z', '-y+1/2, x-1/2, -z+1/2', 'y+1/2, -x+1/2, -z+1/2'], ['x, y, z', '-x+1, -y, z', 'y+1/2, x-1/2, -z+3/2', '-y+1/2, -x+1/2, -z+3/2', 'x, -y, z', '-x+1, y, z', '-y+1/2, x-1/2, -z+3/2', 'y+1/2, -x+1/2, -z+3/2']], [['x, y, z', 'x, -y, -z+1', '-x+1/2, z-1/2, y+1/2', '-x+1/2, -z+1/2, -y+1/2', 'x, y, -z+1', 'x, -y, z', '-x+1/2, -z+1/2, y+1/2', '-x+1/2, z-1/2, -y+1/2'], ['x, y, z', 'x, -y, -z+1', '-x+3/2, z-1/2, y+1/2', '-x+3/2, -z+1/2, -y+1/2', 'x, y, -z+1', 'x, -y, z', '-x+3/2, -z+1/2, y+1/2', '-x+3/2, z-1/2, -y+1/2'], ['x, y, z', '-x+1, y, -z', 'z+1/2, -y+1/2, x-1/2', '-z+1/2, -y+1/2, -x+1/2', 'x, y, -z', '-x+1, y, z', '-z+1/2, -y+1/2, x-1/2', 'z+1/2, -y+1/2, -x+1/2'], ['x, y, z', '-x+1, y, -z', 'z+1/2, -y+3/2, x-1/2', '-z+1/2, -y+3/2, -x+1/2', 'x, y, -z', '-x+1, y, z', '-z+1/2, -y+3/2, x-1/2', 'z+1/2, -y+3/2, -x+1/2'], ['x, y, z', '-x, -y+1, z', 'y-1/2, x+1/2, -z+1/2', '-y+1/2, -x+1/2, -z+1/2', 'x, -y+1, z', '-x, y, z', '-y+1/2, x+1/2, -z+1/2', 'y-1/2, -x+1/2, -z+1/2'], ['x, y, z', '-x, -y+1, z', 'y-1/2, x+1/2, -z+3/2', '-y+1/2, -x+1/2, -z+3/2', 'x, -y+1, z', '-x, y, z', '-y+1/2, x+1/2, -z+3/2', 'y-1/2, -x+1/2, -z+3/2']], [['x, y, z', '-x, -y+1, z', '-x, y, -z+1', 'x, -y+1, -z+1', '-x, -y+1, -z+1', 'x, y, -z+1', 'x, -y+1, z', '-x, y, z'], ['x, y, z', '-x+1, -y, z', '-x+1, y, -z+1', 'x, -y, -z+1', '-x+1, -y, -z+1', 'x, y, -z+1', 'x, -y, z', '-x+1, y, z'], ['x, y, z', '-x+1, -y+1, z', '-x+1, y, -z', 'x, -y+1, -z', '-x+1, -y+1, -z', 'x, y, -z', 'x, -y+1, z', '-x+1, y, z'], ['x, y, z', '-x, -y+1, z', '-x, y, -z', 'x, -y+1, -z', '-x, -y+1, -z', 'x, y, -z', 'x, -y+1, z', '-x, y, z'], ['x, y, z', '-x+1, -y, z', '-x+1, y, -z', 'x, -y, -z', '-x+1, -y, -z', 'x, y, -z', 'x, -y, z', '-x+1, y, z'], ['x, y, z', '-x, -y, z', '-x, y, -z+1', 'x, -y, -z+1', '-x, -y, -z+1', 'x, y, -z+1', 'x, -y, z', '-x, y, z']], [['x, y, z', '-x, -y, z', '-x, y, -z', 'x, -y, -z', 'z, x, y', 'z, -x, -y', '-z, -x, y', '-z, x, -y', 'y, z, x', '-y, z, -x', 'y, -z, -x', '-y, -z, x', '-x, -y, -z', 'x, y, -z', 'x, -y, z', '-x, y, z', '-z, -x, -y', '-z, x, y', 'z, x, -y', 'z, -x, y', '-y, -z, -x', 'y, -z, x', '-y, z, x', 'y, z, -x'], ['x, y, z', '-x+1, -y+1, z', '-x+1, y, -z+1', 'x, -y+1, -z+1', 'z, x, y', 'z, -x+1, -y+1', '-z+1, -x+1, y', '-z+1, x, -y+1', 'y, z, x', '-y+1, z, -x+1', 'y, -z+1, -x+1', '-y+1, -z+1, x', '-x+1, -y+1, -z+1', 'x, y, -z+1', 'x, -y+1, z', '-x+1, y, z', '-z+1, -x+1, -y+1', '-z+1, x, y', 'z, x, -y+1', 'z, -x+1, y', '-y+1, -z+1, -x+1', 'y, -z+1, x', '-y+1, z, x', 'y, z, -x+1']]]\"\n224,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], 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z', '-y+1/2, -x+1/2, z'], ['x, y, z', '-z+1/2, y, -x+1/2'], ['x, y, z', '-z+1/2, y, -x+1/2'], ['x, y, z', 'z, y, x'], ['x, y, z', 'z, y, x'], ['x, y, z', 'x, -z+1/2, -y+1/2'], ['x, y, z', 'x, -z+1/2, -y+1/2'], ['x, y, z', 'x, z, y'], ['x, y, z', 'x, z, y']], [['x, y, z', '-x+1, -z, -y'], ['x, y, z', '-x, z+1/2, y-1/2'], ['x, y, z', '-x, z-1/2, y+1/2'], ['x, y, z', '-x+1, -z+1, -y+1'], ['x, y, z', '-z, -y+1, -x'], ['x, y, z', 'z-1/2, -y, x+1/2'], ['x, y, z', 'z+1/2, -y, x-1/2'], ['x, y, z', '-z+1, -y+1, -x+1'], ['x, y, z', '-y, -x, -z+1'], ['x, y, z', 'y+1/2, x-1/2, -z'], ['x, y, z', 'y-1/2, x+1/2, -z'], ['x, y, z', '-y+1, -x+1, -z+1'], ['x, y, z', '-x+1, -z, -y'], ['x, y, z', '-x, z+1/2, y-1/2'], ['x, y, z', '-x, z-1/2, y+1/2'], ['x, y, z', '-x+1, -z+1, -y+1'], ['x, y, z', '-z, -y+1, -x'], ['x, y, z', 'z-1/2, -y, x+1/2'], ['x, y, z', 'z+1/2, -y, x-1/2'], ['x, y, z', '-z+1, -y+1, -x+1'], ['x, y, z', '-y, -x, -z+1'], ['x, y, z', 'y+1/2, x-1/2, -z'], ['x, y, z', 'y-1/2, x+1/2, -z'], ['x, y, z', '-y+1, -x+1, -z+1']], [['x, y, z', '-x+1, z-1/2, y+1/2'], ['x, y, z', '-x, -z+1, -y+1'], ['x, y, z', '-x, -z, -y'], ['x, y, z', '-x+1, z+1/2, y-1/2'], ['x, y, z', 'z+1/2, -y+1, x-1/2'], ['x, y, z', '-z+1, -y, -x+1'], ['x, y, z', '-z, -y, -x'], ['x, y, z', 'z-1/2, -y+1, x+1/2'], ['x, y, z', 'y-1/2, x+1/2, -z+1'], ['x, y, z', '-y+1, -x+1, -z'], ['x, y, z', '-y, -x, -z'], ['x, y, z', 'y+1/2, x-1/2, -z+1'], ['x, y, z', '-x+1, z-1/2, y+1/2'], ['x, y, z', '-x, -z+1, -y+1'], ['x, y, z', '-x, -z, -y'], ['x, y, z', '-x+1, z+1/2, y-1/2'], ['x, y, z', 'z+1/2, -y+1, x-1/2'], ['x, y, z', '-z+1, -y, -x+1'], ['x, y, z', '-z, -y, -x'], ['x, y, z', 'z-1/2, -y+1, x+1/2'], ['x, y, z', 'y-1/2, x+1/2, -z+1'], ['x, y, z', '-y+1, -x+1, -z'], ['x, y, z', '-y, -x, -z'], ['x, y, z', 'y+1/2, x-1/2, -z+1']], [['x, y, z', 'x, -y+1/2, -z+3/2'], ['x, y, z', 'x, -y+1/2, -z+3/2'], ['x, y, z', '-x+3/2, y, -z+1/2'], ['x, y, z', '-x+3/2, y, -z+1/2'], ['x, y, z', '-x+1/2, -y+3/2, z'], ['x, y, z', '-x+1/2, -y+3/2, 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z', '-z+1/2, -y+1, -x+1/2', '-z+1/2, y, -x+1/2'], ['x, y, z', 'x, -y+1, z', '-z+1/2, -y+1, -x+1/2', '-z+1/2, y, -x+1/2'], ['x, y, z', 'x, -y+1, z', 'z+1/2, -y+1, x-1/2', 'z+1/2, y, x-1/2'], ['x, y, z', 'y, x, -z', 'x, y, -z', 'y, x, z'], ['x, y, z', '-y+1, -x+1, -z', 'x, y, -z', '-y+1, -x+1, z'], ['x, y, z', '-y+1, -x+1, -z', 'x, y, -z', '-y+1, -x+1, z'], ['x, y, z', 'y, x, -z', 'x, y, -z', 'y, x, z']], [['x, y, z', 'x, z, y', 'x, -y+1/2, -z+1/2', 'x, -z+1/2, -y+1/2'], ['x, y, z', 'x, -z+1, -y+1', 'x, -y+3/2, -z+1/2', 'x, z+1/2, y-1/2'], ['x, y, z', 'z, y, x', '-x+1/2, y, -z+1/2', '-z+1/2, y, -x+1/2'], ['x, y, z', '-z+1, y, -x+1', '-x+1/2, y, -z+3/2', 'z-1/2, y, x+1/2'], ['x, y, z', 'y, x, z', '-x+1/2, -y+1/2, z', '-y+1/2, -x+1/2, z'], ['x, y, z', '-y+1, -x+1, z', '-x+3/2, -y+1/2, z', 'y+1/2, x-1/2, z'], ['x, y, z', '-z+1, y, -x+1', '-x+1/2, y, -z+3/2', 'z-1/2, y, x+1/2'], ['x, y, z', 'z, y, x', '-x+3/2, y, -z+3/2', '-z+3/2, y, -x+3/2'], ['x, y, z', 'x, -z+1, -y+1', 'x, -y+1/2, -z+3/2', 'x, z-1/2, y+1/2'], ['x, y, z', 'x, z, y', 'x, -y+1/2, -z+1/2', 'x, -z+1/2, -y+1/2'], ['x, y, z', 'y, x, z', '-x+1/2, -y+1/2, z', '-y+1/2, -x+1/2, z'], ['x, y, z', '-y+1, -x+1, z', '-x+1/2, -y+3/2, z', 'y-1/2, x+1/2, z'], ['x, y, z', 'x, z, y', 'x, -y+3/2, -z+3/2', 'x, -z+3/2, -y+3/2'], ['x, y, z', 'x, -z+2, -y+2', 'x, -y+5/2, -z+3/2', 'x, z+1/2, y-1/2'], ['x, y, z', '-z+1, y, -x+1', '-x+1/2, y, -z+3/2', 'z-1/2, y, x+1/2'], ['x, y, z', 'z-1, y, x+1', '-x+1/2, y, -z+5/2', '-z+3/2, y, -x+3/2'], ['x, y, z', '-y+1, -x+1, z', '-x+1/2, -y+3/2, z', 'y-1/2, x+1/2, z'], ['x, y, z', 'y, x, z', '-x+3/2, -y+3/2, z', '-y+3/2, -x+3/2, z'], ['x, y, z', 'z-1, y, x+1', '-x+1/2, y, -z+5/2', '-z+3/2, y, -x+3/2'], ['x, y, z', '-z+2, y, -x+2', '-x+3/2, y, -z+5/2', 'z-1/2, y, x+1/2'], ['x, y, z', 'x, -z+2, -y+2', 'x, -y+3/2, -z+5/2', 'x, z-1/2, y+1/2'], ['x, y, z', 'x, z, y', 'x, -y+3/2, -z+3/2', 'x, -z+3/2, -y+3/2'], ['x, y, z', '-y+1, -x+1, z', '-x+1/2, -y+3/2, z', 'y-1/2, x+1/2, z'], ['x, y, z', 'y-1, x+1, z', '-x+1/2, -y+5/2, z', '-y+3/2, -x+3/2, z'], ['x, y, z', 'x, -z+1, -y+1', 'x, -y+1/2, -z+3/2', 'x, z-1/2, y+1/2'], ['x, y, z', 'x, z, y', 'x, -y+3/2, -z+3/2', 'x, -z+3/2, -y+3/2'], ['x, y, z', 'z, y, x', '-x+3/2, y, -z+3/2', '-z+3/2, y, -x+3/2'], ['x, y, z', '-z+2, y, -x+2', '-x+3/2, y, -z+5/2', 'z-1/2, y, x+1/2'], ['x, y, z', '-y+1, -x+1, z', '-x+3/2, -y+1/2, z', 'y+1/2, x-1/2, z'], ['x, y, z', 'y+1, x-1, z', '-x+5/2, -y+1/2, z', '-y+3/2, -x+3/2, z'], ['x, y, z', '-z+2, y, -x+2', '-x+3/2, y, -z+5/2', 'z-1/2, y, x+1/2'], ['x, y, z', 'z, y, x', '-x+5/2, y, -z+5/2', '-z+5/2, y, -x+5/2'], ['x, y, z', 'x, z-1, y+1', 'x, -y+1/2, -z+5/2', 'x, -z+3/2, -y+3/2'], ['x, y, z', 'x, -z+1, -y+1', 'x, -y+1/2, -z+3/2', 'x, z-1/2, y+1/2'], ['x, y, z', '-y+1, -x+1, z', '-x+3/2, -y+1/2, z', 'y+1/2, x-1/2, z'], ['x, y, z', 'y, x, z', '-x+3/2, -y+3/2, z', '-y+3/2, -x+3/2, z'], ['x, y, z', 'x, -z+1, -y+1', 'x, -y+3/2, -z+1/2', 'x, z+1/2, y-1/2'], ['x, y, z', 'x, z+1, y-1', 'x, -y+5/2, -z+1/2', 'x, -z+3/2, -y+3/2'], ['x, y, z', '-z+1, y, -x+1', '-x+3/2, y, -z+1/2', 'z+1/2, y, x-1/2'], ['x, y, z', 'z, y, x', '-x+3/2, y, -z+3/2', '-z+3/2, y, -x+3/2'], ['x, y, z', 'y, x, z', '-x+3/2, -y+3/2, z', '-y+3/2, -x+3/2, z'], ['x, y, z', '-y+2, -x+2, z', '-x+5/2, -y+3/2, z', 'y+1/2, x-1/2, z'], ['x, y, z', 'z, y, x', '-x+3/2, y, -z+3/2', '-z+3/2, y, -x+3/2'], ['x, y, z', '-z+2, y, -x+2', '-x+5/2, y, -z+3/2', 'z+1/2, y, x-1/2'], ['x, y, z', 'x, z, y', 'x, -y+3/2, -z+3/2', 'x, -z+3/2, -y+3/2'], ['x, y, z', 'x, -z+1, -y+1', 'x, -y+3/2, -z+1/2', 'x, z+1/2, y-1/2'], ['x, y, z', 'y, x, z', '-x+3/2, -y+3/2, z', '-y+3/2, -x+3/2, z'], ['x, y, z', '-y+2, -x+2, z', '-x+3/2, -y+5/2, z', 'y-1/2, x+1/2, z']], [['x, y, z', 'z, x, y', 'y, z, x', 'y, x, z', 'x, z, y', 'z, y, x'], ['x, y, z', '-z, x, -y', 'y, -z, -x', 'y, x, z', 'x, -z, -y', '-z, y, -x'], ['x, y, z', 'z, -x, -y', '-y, -z, x', '-y, -x, z', 'x, -z, -y', 'z, y, x'], ['x, y, z', '-z, -x, y', '-y, z, -x', '-y, -x, z', 'x, z, y', '-z, y, -x'], ['x, y, z', '-z, x, -y', 'y, -z, -x', 'y, x, z', 'x, -z, -y', '-z, y, -x'], ['x, y, z', 'z, x, y', 'y, z, x', 'y, x, z', 'x, z, y', 'z, y, x'], ['x, y, z', 'z, -x, -y', '-y, -z, x', '-y, -x, z', 'x, -z, -y', 'z, y, x'], ['x, y, z', '-z, -x, y', '-y, z, -x', '-y, -x, z', 'x, z, y', '-z, y, -x'], ['x, y, z', 'x, z, y', 'y-1/2, z, x+1/2', 'z-1/2, y, x+1/2', 'z-1/2, x+1/2, y', 'y-1/2, x+1/2, z'], ['x, y, z', 'x, -z+1, -y+1', 'y-1/2, -z+1, -x+1/2', '-z+1/2, y, -x+1/2', '-z+1/2, x+1/2, -y+1', 'y-1/2, x+1/2, z'], ['x, y, z', 'x, -z+1, -y+1', '-y+1/2, -z+1, x+1/2', 'z-1/2, y, x+1/2', 'z-1/2, -x+1/2, -y+1', '-y+1/2, -x+1/2, z'], ['x, y, z', 'x, z, y', '-y+1/2, z, -x+1/2', '-z+1/2, y, -x+1/2', '-z+1/2, -x+1/2, y', '-y+1/2, -x+1/2, z'], ['x, y, z', 'x, -z+1, -y+1', 'y-1/2, -z+1, -x+1/2', '-z+1/2, y, -x+1/2', '-z+1/2, x+1/2, -y+1', 'y-1/2, x+1/2, z'], ['x, y, z', 'x, z, y', 'y-1/2, z, x+1/2', 'z-1/2, y, x+1/2', 'z-1/2, x+1/2, y', 'y-1/2, x+1/2, z'], ['x, y, z', 'x, -z+1, -y+1', '-y+1/2, -z+1, x+1/2', 'z-1/2, y, x+1/2', 'z-1/2, -x+1/2, -y+1', '-y+1/2, -x+1/2, z'], ['x, y, z', 'x, z, y', '-y+1/2, z, -x+1/2', '-z+1/2, y, -x+1/2', '-z+1/2, -x+1/2, y', '-y+1/2, -x+1/2, z'], ['x, y, z', 'z, y, x', 'z, x-1/2, y+1/2', 'x, z-1/2, y+1/2', 'y+1/2, z-1/2, x', 'y+1/2, x-1/2, z'], ['x, y, z', '-z+1, y, -x+1', '-z+1, x-1/2, -y+1/2', 'x, -z+1/2, -y+1/2', 'y+1/2, -z+1/2, -x+1', 'y+1/2, x-1/2, z'], ['x, y, z', 'z, y, x', 'z, -x+1/2, -y+1/2', 'x, -z+1/2, -y+1/2', '-y+1/2, -z+1/2, x', '-y+1/2, -x+1/2, z'], ['x, y, z', '-z+1, y, -x+1', '-z+1, -x+1/2, y+1/2', 'x, z-1/2, y+1/2', '-y+1/2, z-1/2, -x+1', '-y+1/2, -x+1/2, z'], ['x, y, z', '-z+1, y, -x+1', '-z+1, x-1/2, -y+1/2', 'x, -z+1/2, -y+1/2', 'y+1/2, -z+1/2, -x+1', 'y+1/2, x-1/2, z'], ['x, y, z', 'z, y, x', 'z, x-1/2, y+1/2', 'x, z-1/2, y+1/2', 'y+1/2, z-1/2, x', 'y+1/2, x-1/2, z'], ['x, y, z', 'z, y, x', 'z, -x+1/2, -y+1/2', 'x, -z+1/2, -y+1/2', '-y+1/2, -z+1/2, x', '-y+1/2, -x+1/2, z'], ['x, y, z', '-z+1, y, -x+1', '-z+1, -x+1/2, y+1/2', 'x, z-1/2, y+1/2', '-y+1/2, z-1/2, -x+1', '-y+1/2, -x+1/2, z'], ['x, y, z', 'y, x, z', 'y, z+1/2, x-1/2', 'x, z+1/2, y-1/2', 'z+1/2, x, y-1/2', 'z+1/2, y, x-1/2'], ['x, y, z', 'y, x, z', 'y, -z+1/2, -x+1/2', 'x, -z+1/2, -y+1/2', '-z+1/2, x, -y+1/2', '-z+1/2, y, -x+1/2'], ['x, y, z', '-y+1, -x+1, z', '-y+1, -z+1/2, x-1/2', 'x, -z+1/2, -y+1/2', 'z+1/2, -x+1, -y+1/2', 'z+1/2, y, x-1/2'], ['x, y, z', '-y+1, -x+1, z', '-y+1, z+1/2, -x+1/2', 'x, z+1/2, y-1/2', '-z+1/2, -x+1, y-1/2', '-z+1/2, y, -x+1/2'], ['x, y, z', 'y, x, z', 'y, -z+1/2, -x+1/2', 'x, -z+1/2, -y+1/2', '-z+1/2, x, -y+1/2', '-z+1/2, y, -x+1/2'], ['x, y, z', 'y, x, z', 'y, z+1/2, x-1/2', 'x, z+1/2, y-1/2', 'z+1/2, x, y-1/2', 'z+1/2, y, x-1/2'], ['x, y, z', '-y+1, -x+1, z', '-y+1, -z+1/2, x-1/2', 'x, -z+1/2, -y+1/2', 'z+1/2, -x+1, -y+1/2', 'z+1/2, y, x-1/2'], ['x, y, z', '-y+1, -x+1, z', '-y+1, z+1/2, -x+1/2', 'x, z+1/2, y-1/2', '-z+1/2, -x+1, y-1/2', '-z+1/2, y, -x+1/2']], [['x, y, z', 'x, -y, -z', 'x, z, -y', 'x, -z, y', 'x, y, -z', 'x, -y, z', 'x, -z, -y', 'x, z, y'], ['x, y, z', 'x, -y, -z', 'x, z, -y', 'x, -z, y', 'x, y, -z', 'x, -y, z', 'x, -z, -y', 'x, z, y'], ['x, y, z', '-x, y, -z', 'z, y, -x', '-z, y, x', 'x, y, -z', '-x, y, z', '-z, y, -x', 'z, y, x'], ['x, y, z', '-x, y, -z', 'z, y, -x', '-z, y, x', 'x, y, -z', '-x, y, z', '-z, y, -x', 'z, y, x'], ['x, y, z', '-x, -y, z', 'y, -x, z', '-y, x, z', 'x, -y, z', '-x, y, z', '-y, -x, z', 'y, x, z'], ['x, y, z', '-x, -y, z', 'y, -x, z', '-y, x, z', 'x, -y, z', '-x, y, z', '-y, -x, z', 'y, x, z'], ['x, y, z', 'x, -y+1, -z+1', 'x, z, -y+1', 'x, -z+1, y', 'x, y, -z+1', 'x, -y+1, z', 'x, -z+1, -y+1', 'x, z, y'], ['x, y, z', 'x, -y+1, -z+1', 'x, z, -y+1', 'x, -z+1, y', 'x, y, -z+1', 'x, -y+1, z', 'x, -z+1, -y+1', 'x, z, y'], ['x, y, z', '-x, y, -z+1', 'x, y, -z+1', '-x, y, z', 'z-1/2, y, -x+1/2', '-z+1/2, y, x+1/2', '-z+1/2, y, -x+1/2', 'z-1/2, y, x+1/2'], ['x, y, z', '-x, y, -z+1', 'x, y, -z+1', '-x, y, z', 'z-1/2, y, -x+1/2', '-z+1/2, y, x+1/2', '-z+1/2, y, -x+1/2', 'z-1/2, y, x+1/2'], ['x, y, z', '-x, -y+1, z', 'x, -y+1, z', '-x, y, z', 'y-1/2, -x+1/2, z', '-y+1/2, x+1/2, z', '-y+1/2, -x+1/2, z', 'y-1/2, x+1/2, z'], ['x, y, z', '-x, -y+1, z', 'x, -y+1, z', '-x, y, z', 'y-1/2, -x+1/2, z', '-y+1/2, x+1/2, z', '-y+1/2, -x+1/2, z', 'y-1/2, x+1/2, z'], ['x, y, z', 'x, -y, -z+1', 'x, y, -z+1', 'x, -y, z', 'x, z-1/2, -y+1/2', 'x, -z+1/2, y+1/2', 'x, -z+1/2, -y+1/2', 'x, z-1/2, y+1/2'], ['x, y, z', 'x, -y, -z+1', 'x, y, -z+1', 'x, -y, z', 'x, z-1/2, -y+1/2', 'x, -z+1/2, y+1/2', 'x, -z+1/2, -y+1/2', 'x, z-1/2, y+1/2'], ['x, y, z', '-x+1, y, -z+1', 'z, y, -x+1', '-z+1, y, x', 'x, y, -z+1', '-x+1, y, z', '-z+1, y, -x+1', 'z, y, x'], ['x, y, z', '-x+1, y, -z+1', 'z, y, -x+1', '-z+1, y, x', 'x, y, -z+1', '-x+1, y, z', '-z+1, y, -x+1', 'z, y, x'], ['x, y, z', '-x+1, -y, z', 'x, -y, z', '-x+1, y, z', 'y+1/2, -x+1/2, z', '-y+1/2, x-1/2, z', '-y+1/2, -x+1/2, z', 'y+1/2, x-1/2, z'], ['x, y, z', '-x+1, -y, z', 'x, -y, z', '-x+1, y, z', 'y+1/2, -x+1/2, z', '-y+1/2, x-1/2, z', '-y+1/2, -x+1/2, z', 'y+1/2, x-1/2, z'], ['x, y, z', 'x, -y+1, -z', 'x, y, -z', 'x, -y+1, z', 'x, z+1/2, -y+1/2', 'x, -z+1/2, y-1/2', 'x, -z+1/2, -y+1/2', 'x, z+1/2, y-1/2'], ['x, y, z', 'x, -y+1, -z', 'x, y, -z', 'x, -y+1, z', 'x, z+1/2, -y+1/2', 'x, -z+1/2, y-1/2', 'x, -z+1/2, -y+1/2', 'x, z+1/2, y-1/2'], ['x, y, z', '-x+1, y, -z', 'x, y, -z', '-x+1, y, z', 'z+1/2, y, -x+1/2', '-z+1/2, y, x-1/2', '-z+1/2, y, -x+1/2', 'z+1/2, y, x-1/2'], ['x, y, z', '-x+1, y, -z', 'x, y, -z', '-x+1, y, z', 'z+1/2, y, -x+1/2', '-z+1/2, y, x-1/2', '-z+1/2, y, -x+1/2', 'z+1/2, y, x-1/2'], ['x, y, z', '-x+1, -y+1, z', 'y, -x+1, z', '-y+1, x, z', 'x, -y+1, z', '-x+1, y, z', '-y+1, -x+1, z', 'y, x, z'], ['x, y, z', '-x+1, -y+1, z', 'y, -x+1, z', '-y+1, x, z', 'x, -y+1, z', '-x+1, y, z', '-y+1, -x+1, z', 'y, x, z']], [['x, y, z', '-x, z, y', '-x, y, z', 'x, z, y', 'x, -y+1/2, -z+1/2', '-x, -z+1/2, -y+1/2', '-x, -y+1/2, -z+1/2', 'x, -z+1/2, -y+1/2'], ['x, y, z', '-x, -z+1, -y+1', '-x, y, z', 'x, -z+1, -y+1', 'x, -y+3/2, -z+1/2', '-x, z+1/2, y-1/2', '-x, -y+3/2, -z+1/2', 'x, z+1/2, y-1/2'], ['x, y, z', 'z, -y, x', 'x, -y, z', 'z, y, x', '-x+1/2, y, -z+1/2', '-z+1/2, -y, -x+1/2', '-x+1/2, -y, -z+1/2', '-z+1/2, y, -x+1/2'], ['x, y, z', '-z+1, -y, -x+1', 'x, -y, z', '-z+1, y, -x+1', '-x+1/2, y, -z+3/2', 'z-1/2, -y, x+1/2', '-x+1/2, -y, -z+3/2', 'z-1/2, y, x+1/2'], ['x, y, z', 'y, x, -z', 'x, y, -z', 'y, x, z', '-x+1/2, -y+1/2, z', '-y+1/2, -x+1/2, -z', '-x+1/2, -y+1/2, -z', '-y+1/2, -x+1/2, z'], ['x, y, z', '-y+1, -x+1, -z', 'x, y, -z', '-y+1, -x+1, z', '-x+3/2, -y+1/2, z', 'y+1/2, x-1/2, -z', '-x+3/2, -y+1/2, -z', 'y+1/2, x-1/2, z'], ['x, y, z', '-x, z, y', '-x, y, z', 'x, z, y', 'x, -y+3/2, -z+3/2', '-x, -z+3/2, -y+3/2', '-x, -y+3/2, -z+3/2', 'x, -z+3/2, -y+3/2'], ['x, y, z', '-x, -z+2, -y+2', '-x, y, z', 'x, -z+2, -y+2', 'x, -y+5/2, -z+3/2', '-x, z+1/2, y-1/2', '-x, -y+5/2, -z+3/2', 'x, z+1/2, y-1/2'], ['x, y, z', '-z+1, -y+1, -x+1', 'x, -y+1, z', '-z+1, y, -x+1', 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y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1'], ['x, y, z', 'x, y, -z+1']], [['x, y, z', '-x+1/2, z, y'], ['x, y, z', '-x+3/2, -z, -y'], ['x, y, z', '-x+3/2, -z, -y'], ['x, y, z', '-x+1/2, z, y'], ['x, y, z', 'z, -y+1/2, x'], ['x, y, z', '-z, -y+3/2, -x'], ['x, y, z', '-z, -y+3/2, -x'], ['x, y, z', 'z, -y+1/2, x'], ['x, y, z', 'y, x, -z+1/2'], ['x, y, z', '-y, -x, -z+3/2'], ['x, y, z', '-y, -x, -z+3/2'], ['x, y, z', 'y, x, -z+1/2'], ['x, y, z', '-x+3/2, z, y'], ['x, y, z', '-x+1/2, -z, -y'], ['x, y, z', '-x+1/2, -z, -y'], ['x, y, z', '-x+3/2, z, y'], ['x, y, z', 'z, -y+3/2, x'], ['x, y, z', '-z, -y+1/2, -x'], ['x, y, z', '-z, -y+1/2, -x'], ['x, y, z', 'z, -y+3/2, x'], ['x, y, z', 'y, x, -z+3/2'], ['x, y, z', '-y, -x, -z+1/2'], ['x, y, z', '-y, -x, -z+1/2'], ['x, y, z', 'y, x, -z+3/2'], ['x, y, z', '-x+1/2, z, y'], ['x, y, z', '-x+3/2, -z+1, -y+1'], ['x, y, z', '-x+3/2, -z+1, -y+1'], ['x, y, z', '-x+1/2, z, y'], ['x, y, z', 'z-1/2, -y+3/2, x+1/2'], ['x, y, z', '-z+1/2, -y+5/2, -x+1/2'], ['x, y, z', '-z+1/2, -y+5/2, -x+1/2'], ['x, y, z', 'z-1/2, -y+3/2, x+1/2'], ['x, y, z', 'y-1/2, x+1/2, -z+3/2'], ['x, y, z', '-y+1/2, -x+1/2, -z+5/2'], ['x, y, z', '-y+1/2, -x+1/2, -z+5/2'], ['x, y, z', 'y-1/2, x+1/2, -z+3/2'], ['x, y, z', '-x+3/2, z, y'], ['x, y, z', '-x+1/2, -z+1, -y+1'], ['x, y, z', '-x+1/2, -z+1, -y+1'], ['x, y, z', '-x+3/2, z, y'], ['x, y, z', 'z-1/2, -y+5/2, x+1/2'], ['x, y, z', '-z+1/2, -y+3/2, -x+1/2'], ['x, y, z', '-z+1/2, -y+3/2, -x+1/2'], ['x, y, z', 'z-1/2, -y+5/2, x+1/2'], ['x, y, z', 'y-1/2, x+1/2, -z+5/2'], ['x, y, z', '-y+1/2, -x+1/2, -z+3/2'], ['x, y, z', '-y+1/2, -x+1/2, -z+3/2'], ['x, y, z', 'y-1/2, x+1/2, -z+5/2'], ['x, y, z', '-x+3/2, z-1/2, y+1/2'], ['x, y, z', '-x+5/2, -z+1/2, -y+1/2'], ['x, y, z', '-x+5/2, -z+1/2, -y+1/2'], ['x, y, z', '-x+3/2, z-1/2, y+1/2'], ['x, y, z', 'z, -y+1/2, x'], ['x, y, z', '-z+1, -y+3/2, -x+1'], ['x, y, z', '-z+1, -y+3/2, -x+1'], ['x, y, z', 'z, -y+1/2, x'], ['x, y, z', 'y+1/2, x-1/2, -z+3/2'], ['x, y, z', '-y+1/2, -x+1/2, -z+5/2'], ['x, y, z', '-y+1/2, -x+1/2, -z+5/2'], ['x, y, z', 'y+1/2, x-1/2, -z+3/2'], ['x, y, z', '-x+5/2, z-1/2, y+1/2'], ['x, y, z', '-x+3/2, -z+1/2, -y+1/2'], ['x, y, z', '-x+3/2, -z+1/2, -y+1/2'], ['x, y, z', '-x+5/2, z-1/2, y+1/2'], ['x, y, z', 'z, -y+3/2, x'], ['x, y, z', '-z+1, -y+1/2, -x+1'], ['x, y, z', '-z+1, -y+1/2, -x+1'], ['x, y, z', 'z, -y+3/2, x'], ['x, y, z', 'y+1/2, x-1/2, -z+5/2'], ['x, y, z', '-y+1/2, -x+1/2, -z+3/2'], ['x, y, z', '-y+1/2, -x+1/2, -z+3/2'], ['x, y, z', 'y+1/2, x-1/2, -z+5/2'], ['x, y, z', '-x+3/2, z+1/2, y-1/2'], ['x, y, z', '-x+5/2, -z+1/2, -y+1/2'], ['x, y, z', '-x+5/2, -z+1/2, -y+1/2'], ['x, y, z', '-x+3/2, z+1/2, y-1/2'], ['x, y, z', 'z+1/2, -y+3/2, x-1/2'], ['x, y, z', '-z+1/2, -y+5/2, -x+1/2'], ['x, y, z', '-z+1/2, -y+5/2, -x+1/2'], ['x, y, z', 'z+1/2, -y+3/2, x-1/2'], ['x, y, z', 'y, x, -z+1/2'], ['x, y, z', '-y+1, -x+1, -z+3/2'], ['x, y, z', '-y+1, -x+1, -z+3/2'], ['x, y, z', 'y, x, -z+1/2'], ['x, y, z', '-x+5/2, z+1/2, y-1/2'], ['x, y, z', '-x+3/2, -z+1/2, -y+1/2'], ['x, y, z', '-x+3/2, -z+1/2, -y+1/2'], ['x, y, z', '-x+5/2, z+1/2, y-1/2'], ['x, y, z', 'z+1/2, -y+5/2, x-1/2'], ['x, y, z', '-z+1/2, -y+3/2, -x+1/2'], ['x, y, z', '-z+1/2, -y+3/2, -x+1/2'], ['x, y, z', 'z+1/2, -y+5/2, x-1/2'], ['x, y, z', 'y, x, -z+3/2'], ['x, y, z', '-y+1, -x+1, -z+1/2'], ['x, y, z', '-y+1, -x+1, -z+1/2'], ['x, y, z', 'y, x, -z+3/2']], [['x, y, z', 'z, x, y', 'y, z, x'], ['x, y, z', '-z, x, -y', 'y, -z, -x'], ['x, y, z', 'z, -x, -y', '-y, -z, x'], ['x, y, z', '-z, -x, y', '-y, z, -x'], ['x, y, z', '-z+1, x, -y+1', 'y, -z+1, -x+1'], ['x, y, z', 'z, x, y', 'y, z, x'], ['x, y, z', 'z, -x+1, -y+1', '-y+1, -z+1, x'], ['x, y, z', '-z+1, -x+1, y', '-y+1, z, -x+1'], ['x, y, z', 'z, x, y', 'y, z, x'], ['x, y, z', '-z, x, -y', 'y, -z, -x'], ['x, y, z', 'z, -x, -y', '-y, -z, x'], ['x, y, z', '-z, -x, y', '-y, z, -x'], ['x, y, z', '-z+1, x, -y+1', 'y, -z+1, -x+1'], ['x, y, z', 'z, x, y', 'y, z, x'], ['x, y, z', 'z, -x+1, -y+1', '-y+1, -z+1, x'], ['x, y, z', '-z+1, -x+1, y', '-y+1, z, -x+1'], ['x, y, z', 'y-1/2, z, x+1/2', 'z-1/2, x+1/2, y'], ['x, y, z', 'y-1/2, -z+1, -x+1/2', '-z+1/2, x+1/2, -y+1'], ['x, y, z', '-y+1/2, -z+1, x+1/2', 'z-1/2, -x+1/2, -y+1'], ['x, y, z', '-y+1/2, z, -x+1/2', '-z+1/2, -x+1/2, y'], ['x, y, z', 'y-1/2, -z+2, -x+3/2', '-z+3/2, x+1/2, -y+2'], ['x, y, z', 'y-1/2, z, x+1/2', 'z-1/2, x+1/2, y'], ['x, y, z', '-y+3/2, -z+2, x+1/2', 'z-1/2, -x+3/2, -y+2'], ['x, y, z', '-y+3/2, z, -x+3/2', '-z+3/2, -x+3/2, y'], ['x, y, z', 'y-1/2, z, x+1/2', 'z-1/2, x+1/2, y'], ['x, y, z', 'y-1/2, -z+1, -x+1/2', '-z+1/2, x+1/2, -y+1'], ['x, y, z', '-y+1/2, -z+1, x+1/2', 'z-1/2, -x+1/2, -y+1'], ['x, y, z', '-y+1/2, z, -x+1/2', '-z+1/2, -x+1/2, y'], ['x, y, z', 'y-1/2, -z+2, -x+3/2', '-z+3/2, x+1/2, -y+2'], ['x, y, z', 'y-1/2, z, x+1/2', 'z-1/2, x+1/2, y'], ['x, y, z', '-y+3/2, -z+2, x+1/2', 'z-1/2, -x+3/2, -y+2'], ['x, y, z', '-y+3/2, z, -x+3/2', '-z+3/2, -x+3/2, y'], ['x, y, z', 'z, x-1/2, y+1/2', 'y+1/2, z-1/2, x'], ['x, y, z', '-z+1, x-1/2, -y+1/2', 'y+1/2, -z+1/2, -x+1'], ['x, y, z', 'z, -x+1/2, -y+1/2', '-y+1/2, -z+1/2, x'], ['x, y, z', '-z+1, -x+1/2, y+1/2', '-y+1/2, z-1/2, -x+1'], ['x, y, z', '-z+2, x-1/2, -y+3/2', 'y+1/2, -z+3/2, -x+2'], ['x, y, z', 'z, x-1/2, y+1/2', 'y+1/2, z-1/2, x'], ['x, y, z', 'z, -x+3/2, -y+3/2', '-y+3/2, -z+3/2, x'], ['x, y, z', '-z+2, -x+3/2, y+1/2', '-y+3/2, z-1/2, -x+2'], ['x, y, z', 'z, x-1/2, y+1/2', 'y+1/2, z-1/2, x'], ['x, y, z', '-z+1, x-1/2, -y+1/2', 'y+1/2, -z+1/2, -x+1'], ['x, y, z', 'z, -x+1/2, -y+1/2', '-y+1/2, -z+1/2, x'], ['x, y, z', '-z+1, -x+1/2, y+1/2', '-y+1/2, z-1/2, -x+1'], ['x, y, z', '-z+2, x-1/2, -y+3/2', 'y+1/2, -z+3/2, -x+2'], ['x, y, z', 'z, x-1/2, y+1/2', 'y+1/2, z-1/2, x'], ['x, y, z', 'z, -x+3/2, -y+3/2', '-y+3/2, -z+3/2, x'], ['x, y, z', '-z+2, -x+3/2, y+1/2', '-y+3/2, z-1/2, -x+2'], ['x, y, z', 'y, z+1/2, x-1/2', 'z+1/2, x, y-1/2'], ['x, y, z', 'y, -z+1/2, -x+1/2', '-z+1/2, x, -y+1/2'], ['x, y, z', '-y+1, -z+1/2, x-1/2', 'z+1/2, -x+1, -y+1/2'], ['x, y, z', '-y+1, z+1/2, -x+1/2', '-z+1/2, -x+1, y-1/2'], ['x, y, z', 'y, -z+3/2, -x+3/2', '-z+3/2, x, -y+3/2'], ['x, y, z', 'y, z+1/2, x-1/2', 'z+1/2, x, y-1/2'], ['x, y, z', '-y+2, -z+3/2, x-1/2', 'z+1/2, -x+2, -y+3/2'], ['x, y, z', '-y+2, z+1/2, -x+3/2', '-z+3/2, -x+2, y-1/2'], ['x, y, z', 'y, z+1/2, x-1/2', 'z+1/2, x, y-1/2'], ['x, y, z', 'y, -z+1/2, -x+1/2', '-z+1/2, x, -y+1/2'], ['x, y, z', '-y+1, -z+1/2, x-1/2', 'z+1/2, -x+1, -y+1/2'], ['x, y, z', '-y+1, z+1/2, -x+1/2', '-z+1/2, -x+1, y-1/2'], ['x, y, z', 'y, -z+3/2, -x+3/2', '-z+3/2, x, -y+3/2'], ['x, y, z', 'y, z+1/2, x-1/2', 'z+1/2, x, y-1/2'], ['x, y, z', '-y+2, -z+3/2, x-1/2', 'z+1/2, -x+2, -y+3/2'], ['x, y, z', '-y+2, z+1/2, -x+3/2', '-z+3/2, -x+2, y-1/2']], [['x, y, z', 'x, -y+1/2, -z+1/2', 'x, -z+1/2, y', 'x, z, -y+1/2'], ['x, y, z', 'x, -y+3/2, -z+1/2', 'x, z+1/2, -y+1', 'x, -z+1, y-1/2'], ['x, y, z', '-z+1/2, y, x', '-x+1/2, y, -z+1/2', 'z, y, -x+1/2'], ['x, y, z', 'z-1/2, y, -x+1', '-x+1/2, y, -z+3/2', '-z+1, y, x+1/2'], ['x, y, z', '-y+1/2, x, z', 'y, -x+1/2, z', '-x+1/2, -y+1/2, z'], ['x, y, z', 'y+1/2, -x+1, z', '-y+1, x-1/2, z', '-x+3/2, -y+1/2, z'], ['x, y, z', 'x, -y+3/2, -z+3/2', 'x, -z+3/2, y', 'x, z, -y+3/2'], ['x, y, z', 'x, -y+1/2, -z+3/2', 'x, z-1/2, -y+1', 'x, -z+1, y+1/2'], ['x, y, z', '-z+3/2, y, x', '-x+3/2, y, -z+3/2', 'z, y, -x+3/2'], ['x, y, z', 'z+1/2, y, -x+1', '-x+3/2, y, -z+1/2', '-z+1, y, x-1/2'], ['x, y, z', '-y+3/2, x, z', 'y, -x+3/2, z', '-x+3/2, -y+3/2, z'], ['x, y, z', 'y-1/2, -x+1, z', '-y+1, x+1/2, z', '-x+1/2, -y+3/2, z'], ['x, y, z', 'x, -y+3/2, -z+3/2', 'x, -z+3/2, y', 'x, z, -y+3/2'], ['x, y, z', 'x, -y+5/2, -z+3/2', 'x, z+1/2, -y+2', 'x, -z+2, y-1/2'], ['x, y, z', 'z-1/2, y, -x+1', '-x+1/2, y, -z+3/2', '-z+1, y, x+1/2'], ['x, y, z', '-z+3/2, y, x+1', '-x+1/2, y, -z+5/2', 'z-1, y, -x+3/2'], ['x, y, z', 'y-1/2, -x+1, z', '-y+1, x+1/2, z', '-x+1/2, -y+3/2, z'], ['x, y, z', '-y+3/2, x, z', 'y, -x+3/2, z', '-x+3/2, -y+3/2, z'], ['x, y, z', 'x, -y+5/2, -z+5/2', 'x, -z+5/2, y', 'x, z, -y+5/2'], ['x, y, z', 'x, -y+3/2, -z+5/2', 'x, z-1/2, -y+2', 'x, -z+2, y+1/2'], ['x, y, z', 'z-1/2, y, -x+2', '-x+3/2, y, -z+5/2', '-z+2, y, x+1/2'], ['x, y, z', '-z+3/2, y, x', '-x+3/2, y, -z+3/2', 'z, y, -x+3/2'], ['x, y, z', 'y-1/2, -x+2, z', '-y+2, x+1/2, z', '-x+3/2, -y+5/2, z'], ['x, y, z', '-y+3/2, x+1, z', 'y-1, -x+3/2, z', '-x+1/2, -y+5/2, z'], ['x, y, z', 'x, -y+1/2, -z+3/2', 'x, z-1/2, -y+1', 'x, -z+1, y+1/2'], ['x, y, z', 'x, -y+3/2, -z+3/2', 'x, -z+3/2, y', 'x, z, -y+3/2'], ['x, y, z', '-z+3/2, y, x', '-x+3/2, y, -z+3/2', 'z, y, -x+3/2'], ['x, y, z', 'z-1/2, y, -x+2', '-x+3/2, y, -z+5/2', '-z+2, y, x+1/2'], ['x, y, z', 'y+1/2, -x+1, z', '-y+1, x-1/2, z', '-x+3/2, -y+1/2, z'], ['x, y, z', '-y+3/2, x-1, z', 'y+1, -x+3/2, z', '-x+5/2, -y+1/2, z'], ['x, y, z', 'x, -y+3/2, -z+5/2', 'x, z-1/2, -y+2', 'x, -z+2, y+1/2'], ['x, y, z', 'x, -y+1/2, -z+5/2', 'x, -z+3/2, y+1', 'x, z-1, -y+3/2'], ['x, y, z', '-z+5/2, y, x', '-x+5/2, y, -z+5/2', 'z, y, -x+5/2'], ['x, y, z', 'z+1/2, y, -x+2', '-x+5/2, y, -z+3/2', '-z+2, y, x-1/2'], ['x, y, z', 'y+1/2, -x+2, z', '-y+2, x-1/2, z', '-x+5/2, -y+3/2, z'], ['x, y, z', '-y+3/2, x, z', 'y, -x+3/2, z', '-x+3/2, -y+3/2, z'], ['x, y, z', 'x, -y+3/2, -z+1/2', 'x, z+1/2, -y+1', 'x, -z+1, y-1/2'], ['x, y, z', 'x, -y+5/2, -z+1/2', 'x, -z+3/2, y-1', 'x, z+1, -y+3/2'], ['x, y, z', 'z+1/2, y, -x+1', '-x+3/2, y, -z+1/2', '-z+1, y, x-1/2'], ['x, y, z', '-z+3/2, y, x', '-x+3/2, y, -z+3/2', 'z, y, -x+3/2'], ['x, y, z', '-y+3/2, x, z', 'y, -x+3/2, z', '-x+3/2, -y+3/2, z'], ['x, y, z', 'y+1/2, -x+2, z', '-y+2, x-1/2, z', '-x+5/2, -y+3/2, z'], ['x, y, z', 'x, -y+5/2, -z+3/2', 'x, z+1/2, -y+2', 'x, -z+2, y-1/2'], ['x, y, z', 'x, -y+3/2, -z+3/2', 'x, -z+3/2, y', 'x, z, -y+3/2'], ['x, y, z', 'z+1/2, y, -x+2', '-x+5/2, y, -z+3/2', '-z+2, y, x-1/2'], ['x, y, z', '-z+3/2, y, x-1', '-x+5/2, y, -z+1/2', 'z+1, y, -x+3/2'], ['x, y, z', '-y+5/2, x, z', 'y, -x+5/2, z', '-x+5/2, -y+5/2, z'], ['x, y, z', 'y-1/2, -x+2, z', '-y+2, x+1/2, z', '-x+3/2, -y+5/2, z']], [['x, y, z', 'x, -y, -z', 'x, y, -z', 'x, -y, z'], ['x, y, z', 'x, -y, -z', 'x, y, -z', 'x, -y, z'], ['x, y, z', '-x, y, -z', 'x, y, -z', '-x, y, z'], ['x, y, z', '-x, y, -z', 'x, y, -z', '-x, y, z'], ['x, y, z', '-x, -y, z', 'x, -y, z', '-x, y, z'], ['x, y, z', '-x, -y, z', 'x, -y, z', '-x, y, z'], ['x, y, z', '-x+1, y, -z+1', 'x, y, -z+1', '-x+1, y, z'], ['x, y, z', '-x+1, y, -z+1', 'x, y, -z+1', '-x+1, y, z'], ['x, y, z', 'x, -y+1, -z+1', 'x, y, -z+1', 'x, -y+1, z'], ['x, y, z', 'x, -y+1, -z+1', 'x, y, -z+1', 'x, -y+1, z'], ['x, y, z', '-x+1, -y+1, z', 'x, -y+1, z', '-x+1, y, z'], ['x, y, z', '-x+1, -y+1, z', 'x, -y+1, z', '-x+1, y, z'], ['x, y, z', 'x, -y+1, -z+1', 'x, y, -z+1', 'x, -y+1, z'], ['x, y, z', 'x, -y+1, -z+1', 'x, y, -z+1', 'x, -y+1, z'], ['x, y, z', '-x, y, -z+1', 'x, y, -z+1', '-x, y, z'], ['x, y, z', '-x, y, -z+1', 'x, y, -z+1', '-x, y, z'], ['x, y, z', '-x, -y+1, z', 'x, -y+1, z', '-x, y, z'], ['x, y, z', '-x, -y+1, z', 'x, -y+1, z', '-x, y, z'], ['x, y, z', '-x+1, y, -z+2', 'x, y, -z+2', '-x+1, y, z'], ['x, y, z', '-x+1, y, -z+2', 'x, y, -z+2', '-x+1, y, z'], ['x, y, z', 'x, -y+2, -z+2', 'x, y, -z+2', 'x, -y+2, z'], ['x, y, z', 'x, -y+2, -z+2', 'x, y, -z+2', 'x, -y+2, z'], ['x, y, z', '-x+1, -y+2, z', 'x, -y+2, z', '-x+1, y, z'], ['x, y, z', '-x+1, -y+2, z', 'x, -y+2, z', '-x+1, y, z'], ['x, y, z', 'x, -y, -z+1', 'x, y, -z+1', 'x, -y, z'], ['x, y, z', 'x, -y, -z+1', 'x, y, -z+1', 'x, -y, z'], ['x, y, z', '-x+1, y, -z+1', 'x, y, -z+1', '-x+1, y, z'], ['x, y, z', '-x+1, y, -z+1', 'x, y, -z+1', '-x+1, y, z'], ['x, y, z', '-x+1, -y, z', 'x, -y, z', '-x+1, y, z'], ['x, y, z', '-x+1, -y, z', 'x, -y, z', '-x+1, y, z'], ['x, y, z', '-x+2, y, -z+2', 'x, y, -z+2', '-x+2, y, z'], ['x, y, z', '-x+2, y, -z+2', 'x, y, -z+2', '-x+2, y, z'], ['x, y, z', 'x, -y+1, -z+2', 'x, y, -z+2', 'x, -y+1, z'], ['x, y, z', 'x, -y+1, -z+2', 'x, y, -z+2', 'x, -y+1, z'], ['x, y, z', '-x+2, -y+1, z', 'x, -y+1, z', '-x+2, y, z'], ['x, y, z', '-x+2, -y+1, z', 'x, -y+1, z', '-x+2, y, z'], ['x, y, z', 'x, -y+1, -z', 'x, y, -z', 'x, -y+1, z'], ['x, y, z', 'x, -y+1, -z', 'x, y, -z', 'x, -y+1, z'], ['x, y, z', '-x+1, y, -z', 'x, y, -z', '-x+1, y, z'], ['x, y, z', '-x+1, y, -z', 'x, y, -z', '-x+1, y, z'], ['x, y, z', '-x+1, -y+1, z', 'x, -y+1, z', '-x+1, y, z'], ['x, y, z', '-x+1, -y+1, z', 'x, -y+1, z', '-x+1, y, z'], ['x, y, z', '-x+2, y, -z+1', 'x, y, -z+1', '-x+2, y, z'], ['x, y, z', '-x+2, y, -z+1', 'x, y, -z+1', '-x+2, y, z'], ['x, y, z', 'x, -y+2, -z+1', 'x, y, -z+1', 'x, -y+2, z'], ['x, y, z', 'x, -y+2, -z+1', 'x, y, -z+1', 'x, -y+2, z'], ['x, y, z', '-x+2, -y+2, z', 'x, -y+2, z', '-x+2, y, z'], ['x, y, z', '-x+2, -y+2, z', 'x, -y+2, z', '-x+2, y, z']], [['x, y, z', '-x, y, z', 'x, -y+1/2, -z+1/2', '-x, -y+1/2, -z+1/2', 'x, -z+1/2, y', '-x, -z+1/2, y', 'x, z, -y+1/2', '-x, z, -y+1/2'], ['x, y, z', '-x, y, z', 'x, -y+3/2, -z+1/2', '-x, -y+3/2, -z+1/2', 'x, z+1/2, -y+1', '-x, z+1/2, -y+1', 'x, -z+1, y-1/2', '-x, -z+1, y-1/2'], ['x, y, z', 'x, -y, z', '-z+1/2, y, x', '-z+1/2, -y, x', '-x+1/2, y, -z+1/2', '-x+1/2, -y, -z+1/2', 'z, y, -x+1/2', 'z, -y, -x+1/2'], ['x, y, z', 'x, -y, z', 'z-1/2, y, -x+1', 'z-1/2, -y, -x+1', '-x+1/2, y, -z+3/2', '-x+1/2, -y, -z+3/2', '-z+1, y, x+1/2', '-z+1, -y, x+1/2'], ['x, y, z', 'x, y, -z', '-y+1/2, x, z', '-y+1/2, x, -z', 'y, -x+1/2, z', 'y, -x+1/2, -z', '-x+1/2, -y+1/2, z', '-x+1/2, -y+1/2, -z'], ['x, y, z', 'x, y, -z', 'y+1/2, -x+1, z', 'y+1/2, -x+1, -z', '-y+1, x-1/2, z', '-y+1, x-1/2, -z', '-x+3/2, -y+1/2, z', '-x+3/2, -y+1/2, -z'], ['x, y, z', '-x, y, z', 'x, -y+3/2, -z+3/2', '-x, -y+3/2, -z+3/2', 'x, -z+3/2, y', '-x, -z+3/2, y', 'x, z, -y+3/2', '-x, z, -y+3/2'], ['x, y, z', '-x, y, z', 'x, -y+5/2, -z+3/2', '-x, -y+5/2, -z+3/2', 'x, z+1/2, -y+2', '-x, z+1/2, -y+2', 'x, -z+2, y-1/2', '-x, -z+2, y-1/2'], ['x, y, z', 'x, -y+1, z', 'z-1/2, y, -x+1', 'z-1/2, -y+1, -x+1', '-x+1/2, y, -z+3/2', '-x+1/2, -y+1, -z+3/2', '-z+1, y, x+1/2', '-z+1, -y+1, x+1/2'], ['x, y, z', 'x, -y+1, z', '-z+3/2, y, x+1', '-z+3/2, -y+1, x+1', '-x+1/2, y, -z+5/2', '-x+1/2, -y+1, -z+5/2', 'z-1, y, -x+3/2', 'z-1, -y+1, -x+3/2'], ['x, y, z', 'x, y, -z+1', 'y-1/2, -x+1, z', 'y-1/2, -x+1, -z+1', '-y+1, x+1/2, z', '-y+1, x+1/2, -z+1', '-x+1/2, -y+3/2, z', '-x+1/2, -y+3/2, -z+1'], ['x, y, z', 'x, y, -z+1', '-y+3/2, x, z', '-y+3/2, x, -z+1', 'y, -x+3/2, z', 'y, -x+3/2, -z+1', '-x+3/2, -y+3/2, z', '-x+3/2, -y+3/2, -z+1'], ['x, y, z', '-x+1, y, z', 'x, -y+1/2, -z+3/2', '-x+1, -y+1/2, -z+3/2', 'x, z-1/2, -y+1', '-x+1, z-1/2, -y+1', 'x, -z+1, y+1/2', '-x+1, -z+1, y+1/2'], ['x, y, z', '-x+1, y, z', 'x, -y+3/2, -z+3/2', '-x+1, -y+3/2, -z+3/2', 'x, -z+3/2, y', '-x+1, -z+3/2, y', 'x, z, -y+3/2', '-x+1, z, -y+3/2'], ['x, y, z', 'x, -y, z', '-z+3/2, y, x', '-z+3/2, -y, x', '-x+3/2, y, -z+3/2', '-x+3/2, -y, -z+3/2', 'z, y, -x+3/2', 'z, -y, -x+3/2'], ['x, y, z', 'x, -y, z', 'z-1/2, y, -x+2', 'z-1/2, -y, -x+2', '-x+3/2, y, -z+5/2', '-x+3/2, -y, -z+5/2', '-z+2, y, x+1/2', '-z+2, -y, x+1/2'], ['x, y, z', 'x, y, -z+1', 'y+1/2, -x+1, z', 'y+1/2, -x+1, -z+1', '-y+1, x-1/2, z', '-y+1, x-1/2, -z+1', '-x+3/2, -y+1/2, z', '-x+3/2, -y+1/2, -z+1'], ['x, y, z', 'x, y, -z+1', '-y+3/2, x-1, z', '-y+3/2, x-1, -z+1', 'y+1, -x+3/2, z', 'y+1, -x+3/2, -z+1', '-x+5/2, -y+1/2, z', '-x+5/2, -y+1/2, -z+1'], ['x, y, z', '-x+1, y, z', 'x, -y+3/2, -z+1/2', '-x+1, -y+3/2, -z+1/2', 'x, z+1/2, -y+1', '-x+1, z+1/2, -y+1', 'x, -z+1, y-1/2', '-x+1, -z+1, y-1/2'], ['x, y, z', '-x+1, y, z', 'x, -y+5/2, -z+1/2', '-x+1, -y+5/2, -z+1/2', 'x, -z+3/2, y-1', '-x+1, -z+3/2, y-1', 'x, z+1, -y+3/2', '-x+1, z+1, -y+3/2'], ['x, y, z', 'x, -y+1, z', 'z+1/2, y, -x+1', 'z+1/2, -y+1, -x+1', '-x+3/2, y, -z+1/2', '-x+3/2, -y+1, -z+1/2', '-z+1, y, x-1/2', '-z+1, -y+1, x-1/2'], ['x, y, z', 'x, -y+1, z', '-z+3/2, y, x', '-z+3/2, -y+1, x', '-x+3/2, y, -z+3/2', '-x+3/2, -y+1, -z+3/2', 'z, y, -x+3/2', 'z, -y+1, -x+3/2'], ['x, y, z', 'x, y, -z', '-y+3/2, x, z', '-y+3/2, x, -z', 'y, -x+3/2, z', 'y, -x+3/2, -z', '-x+3/2, -y+3/2, z', '-x+3/2, -y+3/2, -z'], ['x, y, z', 'x, y, -z', 'y+1/2, -x+2, z', 'y+1/2, -x+2, -z', '-y+2, x-1/2, z', '-y+2, x-1/2, -z', '-x+5/2, -y+3/2, z', '-x+5/2, -y+3/2, -z']], [['x, y, z', 'x, -y, -z', 'x, y, -z', 'x, -y, z', '-x+1/2, z, y', '-x+1/2, -z, -y', '-x+1/2, -z, y', '-x+1/2, z, -y'], ['x, y, z', 'x, -y, -z', 'x, y, -z', 'x, -y, z', '-x+3/2, z, y', '-x+3/2, -z, -y', '-x+3/2, -z, y', '-x+3/2, z, -y'], ['x, y, z', '-x, y, -z', 'x, y, -z', '-x, y, z', 'z, -y+1/2, x', '-z, -y+1/2, -x', '-z, -y+1/2, x', 'z, -y+1/2, -x'], ['x, y, z', '-x, y, -z', 'x, y, -z', '-x, y, z', 'z, -y+3/2, x', '-z, -y+3/2, -x', '-z, -y+3/2, x', 'z, -y+3/2, -x'], ['x, y, z', '-x, -y, z', 'x, -y, z', '-x, y, z', 'y, x, -z+1/2', '-y, -x, -z+1/2', '-y, x, -z+1/2', 'y, -x, -z+1/2'], ['x, y, z', '-x, -y, z', 'x, -y, z', '-x, y, z', 'y, x, -z+3/2', '-y, -x, -z+3/2', '-y, x, -z+3/2', 'y, -x, -z+3/2'], ['x, y, z', 'x, -y+1, -z+1', 'x, y, -z+1', 'x, -y+1, z', '-x+1/2, z, y', '-x+1/2, -z+1, -y+1', '-x+1/2, -z+1, y', '-x+1/2, z, -y+1'], ['x, y, z', 'x, -y+1, -z+1', 'x, y, -z+1', 'x, -y+1, z', '-x+3/2, z, y', '-x+3/2, -z+1, -y+1', '-x+3/2, -z+1, y', '-x+3/2, z, -y+1'], ['x, y, z', '-x, y, -z+1', 'z-1/2, -y+3/2, x+1/2', '-z+1/2, -y+3/2, -x+1/2', 'x, y, -z+1', '-x, y, z', '-z+1/2, -y+3/2, x+1/2', 'z-1/2, -y+3/2, -x+1/2'], ['x, y, z', '-x, y, -z+1', 'z-1/2, -y+5/2, x+1/2', '-z+1/2, -y+5/2, -x+1/2', 'x, y, -z+1', '-x, y, z', '-z+1/2, -y+5/2, x+1/2', 'z-1/2, -y+5/2, -x+1/2'], ['x, y, z', '-x, -y+1, z', 'y-1/2, x+1/2, -z+3/2', '-y+1/2, -x+1/2, -z+3/2', 'x, -y+1, z', '-x, y, z', '-y+1/2, x+1/2, -z+3/2', 'y-1/2, -x+1/2, -z+3/2'], ['x, y, z', '-x, -y+1, z', 'y-1/2, x+1/2, -z+5/2', '-y+1/2, -x+1/2, -z+5/2', 'x, -y+1, z', '-x, y, z', '-y+1/2, x+1/2, -z+5/2', 'y-1/2, -x+1/2, -z+5/2'], ['x, y, z', 'x, -y, -z+1', '-x+3/2, z-1/2, y+1/2', '-x+3/2, -z+1/2, -y+1/2', 'x, y, -z+1', 'x, -y, z', '-x+3/2, -z+1/2, y+1/2', '-x+3/2, z-1/2, -y+1/2'], ['x, y, z', 'x, -y, -z+1', '-x+5/2, z-1/2, y+1/2', '-x+5/2, -z+1/2, -y+1/2', 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z', 'y+1/4, x-1/4, -z+1/2'], ['x, y, z', 'y+1/4, x-1/4, -z+3/2'], ['x, y, z', '-y+1, -x+1, -z+1'], ['x, y, z', '-x, -z+1, -y+1'], ['x, y, z', '-x+3/2, z-1/4, y+1/4'], ['x, y, z', '-x+1/2, z-1/4, y+1/4'], ['x, y, z', '-x+1, -z+2, -y+2'], ['x, y, z', '-z+1/2, -y+1, -x+1/2'], ['x, y, z', 'z-1/4, -y+5/2, x+1/4'], ['x, y, z', 'z-1/4, -y+3/2, x+1/4'], ['x, y, z', '-z+3/2, -y+2, -x+3/2'], ['x, y, z', '-y+1/2, -x+1/2, -z+1'], ['x, y, z', 'y-3/4, x+3/4, -z+5/2'], ['x, y, z', 'y-3/4, x+3/4, -z+3/2'], ['x, y, z', '-y+3/2, -x+3/2, -z+2'], ['x, y, z', '-x, -z+1, -y+1'], ['x, y, z', '-x+1/2, z+1/4, y-1/4'], ['x, y, z', '-x+3/2, z+1/4, y-1/4'], ['x, y, z', '-x+1, -z+2, -y+2'], ['x, y, z', '-z+1/2, -y+1, -x+1/2'], ['x, y, z', 'z-3/4, -y+3/2, x+3/4'], ['x, y, z', 'z-3/4, -y+5/2, x+3/4'], ['x, y, z', '-z+3/2, -y+2, -x+3/2'], ['x, y, z', '-y+1/2, -x+1/2, -z+1'], ['x, y, z', 'y-1/4, x+1/4, -z+3/2'], ['x, y, z', 'y-1/4, x+1/4, -z+5/2'], ['x, y, z', '-y+3/2, -x+3/2, -z+2'], ['x, y, z', '-x+1, -z+1/2, 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y, z', '-z+5/4, y, -x+5/4'], ['x, y, z', 'z-1/2, y, x+1/2'], ['x, y, z', 'z-1, y, x+1'], ['x, y, z', 'x, -z+7/4, -y+7/4'], ['x, y, z', 'x, -z+9/4, -y+9/4'], ['x, y, z', 'x, z+1/2, y-1/2'], ['x, y, z', 'x, z, y'], ['x, y, z', 'y+1/2, x-1/2, z'], ['x, y, z', 'y+1, x-1, z'], ['x, y, z', '-y+5/4, -x+5/4, z'], ['x, y, z', '-y+7/4, -x+7/4, z'], ['x, y, z', 'x, z-1/2, y+1/2'], ['x, y, z', 'x, z, y'], ['x, y, z', 'x, -z+5/4, -y+5/4'], ['x, y, z', 'x, -z+7/4, -y+7/4'], ['x, y, z', 'z, y, x'], ['x, y, z', 'z-1/2, y, x+1/2'], ['x, y, z', '-z+7/4, y, -x+7/4'], ['x, y, z', '-z+9/4, y, -x+9/4'], ['x, y, z', 'y+1, x-1, z'], ['x, y, z', 'y+1/2, x-1/2, z'], ['x, y, z', '-y+5/4, -x+5/4, z'], ['x, y, z', '-y+7/4, -x+7/4, z'], ['x, y, z', '-z+9/4, y, -x+9/4'], ['x, y, z', '-z+7/4, y, -x+7/4'], ['x, y, z', 'z, y, x'], ['x, y, z', 'z-1/2, y, x+1/2'], ['x, y, z', 'x, -z+5/4, -y+5/4'], ['x, y, z', 'x, -z+7/4, -y+7/4'], ['x, y, z', 'x, z, y'], ['x, y, z', 'x, z-1/2, y+1/2'], ['x, y, z', 'y, x, z'], ['x, y, z', 'y+1/2, x-1/2, z'], ['x, y, z', '-y+7/4, -x+7/4, z'], ['x, y, z', '-y+9/4, -x+9/4, z'], ['x, y, z', 'x, z+1/2, y-1/2'], ['x, y, z', 'x, z+1, y-1'], ['x, y, z', 'x, -z+5/4, -y+5/4'], ['x, y, z', 'x, -z+7/4, -y+7/4'], ['x, y, z', 'z+1/2, y, x-1/2'], ['x, y, z', 'z, y, x'], ['x, y, z', '-z+5/4, y, -x+5/4'], ['x, y, z', '-z+7/4, y, -x+7/4'], ['x, y, z', 'y+1/2, x-1/2, z'], ['x, y, z', 'y, x, z'], ['x, y, z', '-y+7/4, -x+7/4, z'], ['x, y, z', '-y+9/4, -x+9/4, z'], ['x, y, z', '-z+7/4, y, -x+7/4'], ['x, y, z', '-z+5/4, y, -x+5/4'], ['x, y, z', 'z+1/2, y, x-1/2'], ['x, y, z', 'z, y, x'], ['x, y, z', 'x, -z+5/4, -y+5/4'], ['x, y, z', 'x, -z+7/4, -y+7/4'], ['x, y, z', 'x, z+1, y-1'], ['x, y, z', 'x, z+1/2, y-1/2']], [['x, y, z', 'x, z, y', 'x, -z+1/4, -y+1/4', 'x, -y+1/4, -z+1/4'], ['x, y, z', 'x, z-1/2, y+1/2', 'x, -y+1/4, -z+5/4', 'x, -z+3/4, -y+3/4'], ['x, y, z', 'z, y, x', '-x+1/4, y, -z+1/4', '-z+1/4, y, -x+1/4'], ['x, y, z', '-x+5/4, y, -z+1/4', '-z+3/4, y, -x+3/4', 'z+1/2, y, x-1/2'], ['x, y, z', 'y, x, z', '-y+1/4, -x+1/4, z', '-x+1/4, -y+1/4, z'], ['x, y, z', '-x+1/4, -y+5/4, z', '-y+3/4, -x+3/4, z', 'y-1/2, x+1/2, z'], ['x, y, z', 'z+1/2, y, x-1/2', '-x+7/4, y, -z+3/4', '-z+5/4, y, -x+5/4'], ['x, y, z', 'z, y, x', '-z+7/4, y, -x+7/4', '-x+7/4, y, -z+7/4'], ['x, y, z', 'x, z, y', 'x, -y+3/4, -z+3/4', 'x, -z+3/4, -y+3/4'], ['x, y, z', 'x, z+1/2, y-1/2', 'x, -y+7/4, -z+3/4', 'x, -z+5/4, -y+5/4'], ['x, y, z', '-x+7/4, -y+3/4, z', '-y+5/4, -x+5/4, z', 'y+1/2, x-1/2, z'], ['x, y, z', 'y, x, z', '-x+3/4, -y+3/4, z', '-y+3/4, -x+3/4, z'], ['x, y, z', 'x, z, y', 'x, -z+5/4, -y+5/4', 'x, -y+5/4, -z+5/4'], ['x, y, z', 'x, z-1/2, y+1/2', 'x, -y+5/4, -z+9/4', 'x, -z+7/4, -y+7/4'], ['x, y, z', '-x+1/4, y, -z+5/4', '-z+3/4, y, -x+3/4', 'z-1/2, y, x+1/2'], ['x, y, z', 'z, y, x', '-x+5/4, y, -z+5/4', '-z+5/4, y, -x+5/4'], ['x, y, z', '-x+1/4, -y+5/4, z', '-y+3/4, -x+3/4, z', 'y-1/2, x+1/2, z'], ['x, y, z', 'y-1, x+1, z', '-y+5/4, -x+5/4, z', '-x+1/4, -y+9/4, z'], ['x, y, z', 'z, y, x', '-z+7/4, y, -x+7/4', '-x+7/4, y, -z+7/4'], ['x, y, z', 'z-1/2, y, x+1/2', '-x+7/4, y, -z+11/4', '-z+9/4, y, -x+9/4'], ['x, y, z', 'x, z, y', 'x, -y+7/4, -z+7/4', 'x, -z+7/4, -y+7/4'], ['x, y, z', 'x, z+1/2, y-1/2', 'x, -y+11/4, -z+7/4', 'x, -z+9/4, -y+9/4'], ['x, y, z', 'y, x, z', '-x+7/4, -y+7/4, z', '-y+7/4, -x+7/4, z'], ['x, y, z', '-x+3/4, -y+7/4, z', '-y+5/4, -x+5/4, z', 'y-1/2, x+1/2, z'], ['x, y, z', 'x, z-1/2, y+1/2', 'x, -y+1/4, -z+5/4', 'x, -z+3/4, -y+3/4'], ['x, y, z', 'x, z-1, y+1', 'x, -z+5/4, -y+5/4', 'x, -y+1/4, -z+9/4'], ['x, y, z', 'z, y, x', '-x+5/4, y, -z+5/4', '-z+5/4, y, -x+5/4'], ['x, y, z', '-x+9/4, y, -z+5/4', '-z+7/4, y, -x+7/4', 'z+1/2, y, x-1/2'], ['x, y, z', '-x+5/4, -y+1/4, z', '-y+3/4, -x+3/4, z', 'y+1/2, x-1/2, z'], ['x, y, z', 'y, x, z', '-y+5/4, -x+5/4, z', '-x+5/4, -y+5/4, z'], ['x, y, z', 'z+1/2, y, x-1/2', '-x+11/4, y, -z+7/4', '-z+9/4, y, -x+9/4'], ['x, y, z', 'z, y, x', '-z+11/4, y, -x+11/4', '-x+11/4, y, -z+11/4'], ['x, y, z', 'x, z-1/2, y+1/2', 'x, -y+3/4, -z+7/4', 'x, -z+5/4, -y+5/4'], ['x, y, z', 'x, z, y', 'x, -y+7/4, -z+7/4', 'x, -z+7/4, -y+7/4'], ['x, y, z', 'y+1, x-1, z', '-x+11/4, -y+3/4, z', '-y+7/4, -x+7/4, z'], ['x, y, z', '-x+7/4, -y+3/4, z', '-y+5/4, -x+5/4, z', 'y+1/2, x-1/2, z'], ['x, y, z', 'x, z+1/2, y-1/2', 'x, -y+5/4, -z+1/4', 'x, -z+3/4, -y+3/4'], ['x, y, z', 'x, z, y', 'x, -z+5/4, -y+5/4', 'x, -y+5/4, -z+5/4'], ['x, y, z', '-x+5/4, y, -z+1/4', '-z+3/4, y, -x+3/4', 'z+1/2, y, x-1/2'], ['x, y, z', 'z+1, y, x-1', '-x+9/4, y, -z+1/4', '-z+5/4, y, -x+5/4'], ['x, y, z', 'y, x, z', '-y+5/4, -x+5/4, z', '-x+5/4, -y+5/4, z'], ['x, y, z', '-x+5/4, -y+9/4, z', '-y+7/4, -x+7/4, z', 'y-1/2, x+1/2, z'], ['x, y, z', 'z+1, y, x-1', '-z+7/4, y, -x+7/4', '-x+11/4, y, -z+3/4'], ['x, y, z', 'z+1/2, y, x-1/2', '-x+11/4, y, -z+7/4', '-z+9/4, y, -x+9/4'], ['x, y, z', 'x, z+1/2, y-1/2', 'x, -y+7/4, -z+3/4', 'x, -z+5/4, -y+5/4'], ['x, y, z', 'x, z+1, y-1', 'x, -y+11/4, -z+3/4', 'x, -z+7/4, -y+7/4'], ['x, y, z', '-x+11/4, -y+7/4, z', '-y+9/4, -x+9/4, z', 'y+1/2, x-1/2, z'], ['x, y, z', 'y, x, z', '-x+7/4, -y+7/4, z', '-y+7/4, -x+7/4, z']], [['x, y, z', 'z, x, y', 'y, z, x', 'y, x, z', 'x, z, y', 'z, y, x'], ['x, y, z', '-z+5/4, x-1/2, -y+3/4', 'y+1/2, -z+3/4, -x+5/4', 'y+1/2, x-1/2, z', 'x, -z+3/4, -y+3/4', '-z+5/4, y, -x+5/4'], ['x, y, z', 'z-1/2, -x+3/4, -y+5/4', '-y+3/4, -z+5/4, x+1/2', '-y+3/4, -x+3/4, z', 'x, -z+5/4, -y+5/4', 'z-1/2, y, x+1/2'], ['x, y, z', '-z+3/4, -x+5/4, y-1/2', '-y+5/4, z+1/2, -x+3/4', '-y+5/4, -x+5/4, z', 'x, z+1/2, y-1/2', '-z+3/4, y, -x+3/4'], ['x, y, z', '-z+5/4, x-1/2, -y+3/4', 'y+1/2, -z+3/4, -x+5/4', 'y+1/2, x-1/2, z', 'x, -z+3/4, -y+3/4', '-z+5/4, y, -x+5/4'], ['x, y, z', 'z, x, y', 'y, z, x', 'y, x, z', 'x, z, y', 'z, y, x'], ['x, y, z', 'z-1/2, -x+3/4, -y+5/4', '-y+3/4, -z+5/4, x+1/2', '-y+3/4, -x+3/4, z', 'x, -z+5/4, -y+5/4', 'z-1/2, y, x+1/2'], ['x, y, z', '-z+3/4, -x+5/4, y-1/2', '-y+5/4, z+1/2, -x+3/4', '-y+5/4, -x+5/4, z', 'x, z+1/2, y-1/2', '-z+3/4, y, -x+3/4'], ['x, y, z', 'x, z, y', 'y-1/2, z, x+1/2', 'z-1/2, y, x+1/2', 'z-1/2, x+1/2, y', 'y-1/2, x+1/2, z'], ['x, y, z', 'y, x, z', '-z+7/4, y, -x+7/4', 'y, -z+7/4, -x+7/4', '-z+7/4, x, -y+7/4', 'x, -z+7/4, -y+7/4'], ['x, y, z', 'z-1, y, x+1', '-y+5/4, -x+5/4, z', '-y+5/4, -z+9/4, x+1', 'x, -z+9/4, -y+9/4', 'z-1, -x+5/4, -y+9/4'], ['x, y, z', 'x, z+1/2, y-1/2', '-y+7/4, z+1/2, -x+5/4', '-y+7/4, -x+7/4, z', '-z+5/4, -x+7/4, y-1/2', '-z+5/4, y, -x+5/4'], ['x, y, z', 'y, x, z', '-z+7/4, y, -x+7/4', 'y, -z+7/4, -x+7/4', '-z+7/4, x, -y+7/4', 'x, -z+7/4, -y+7/4'], ['x, y, z', 'x, z, y', 'y-1/2, z, x+1/2', 'z-1/2, y, x+1/2', 'z-1/2, x+1/2, y', 'y-1/2, x+1/2, z'], ['x, y, z', 'z-1, y, x+1', '-y+5/4, -x+5/4, z', '-y+5/4, -z+9/4, x+1', 'x, -z+9/4, -y+9/4', 'z-1, -x+5/4, -y+9/4'], ['x, y, z', 'x, z+1/2, y-1/2', '-y+7/4, z+1/2, -x+5/4', '-y+7/4, -x+7/4, z', '-z+5/4, -x+7/4, y-1/2', '-z+5/4, y, -x+5/4'], ['x, y, z', 'z, y, x', 'z, x-1/2, y+1/2', 'x, z-1/2, y+1/2', 'y+1/2, z-1/2, x', 'y+1/2, x-1/2, z'], ['x, y, z', 'y+1, x-1, z', '-z+9/4, x-1, -y+5/4', 'x, -z+5/4, -y+5/4', 'y+1, -z+5/4, -x+9/4', '-z+9/4, y, -x+9/4'], ['x, y, z', 'z-1/2, -x+5/4, -y+7/4', '-y+5/4, -x+5/4, z', 'z-1/2, y, x+1/2', '-y+5/4, -z+7/4, x+1/2', 'x, -z+7/4, -y+7/4'], ['x, y, z', 'x, z, y', '-z+7/4, -x+7/4, y', '-z+7/4, y, -x+7/4', '-y+7/4, -x+7/4, z', '-y+7/4, z, -x+7/4'], ['x, y, z', 'y+1, x-1, z', '-z+9/4, x-1, -y+5/4', 'x, -z+5/4, -y+5/4', 'y+1, -z+5/4, -x+9/4', '-z+9/4, y, -x+9/4'], ['x, y, z', 'z, y, x', 'z, x-1/2, y+1/2', 'x, z-1/2, y+1/2', 'y+1/2, z-1/2, x', 'y+1/2, x-1/2, z'], ['x, y, z', 'z-1/2, -x+5/4, -y+7/4', '-y+5/4, -x+5/4, z', 'z-1/2, y, x+1/2', '-y+5/4, -z+7/4, x+1/2', 'x, -z+7/4, -y+7/4'], ['x, y, z', 'x, z, y', '-z+7/4, -x+7/4, y', '-z+7/4, y, -x+7/4', '-y+7/4, -x+7/4, z', '-y+7/4, z, -x+7/4'], ['x, y, z', 'y, x, z', 'y, z+1/2, x-1/2', 'x, z+1/2, y-1/2', 'z+1/2, x, y-1/2', 'z+1/2, y, x-1/2'], ['x, y, z', 'y+1/2, -z+5/4, -x+7/4', '-z+7/4, y, -x+7/4', '-z+7/4, x-1/2, -y+5/4', 'x, -z+5/4, -y+5/4', 'y+1/2, x-1/2, z'], ['x, y, z', 'z, y, x', '-y+7/4, -z+7/4, x', 'z, -x+7/4, -y+7/4', '-y+7/4, -x+7/4, z', 'x, -z+7/4, -y+7/4'], ['x, y, z', 'x, z+1, y-1', '-y+9/4, z+1, -x+5/4', '-y+9/4, -x+9/4, z', '-z+5/4, -x+9/4, y-1', '-z+5/4, y, -x+5/4'], ['x, y, z', 'y+1/2, -z+5/4, -x+7/4', '-z+7/4, y, -x+7/4', '-z+7/4, x-1/2, -y+5/4', 'x, -z+5/4, -y+5/4', 'y+1/2, x-1/2, z'], ['x, y, z', 'y, x, z', 'y, z+1/2, x-1/2', 'x, z+1/2, y-1/2', 'z+1/2, x, y-1/2', 'z+1/2, y, x-1/2'], ['x, y, z', 'z, y, x', '-y+7/4, -z+7/4, x', 'z, -x+7/4, -y+7/4', '-y+7/4, -x+7/4, z', 'x, -z+7/4, -y+7/4'], ['x, y, z', 'x, z+1, y-1', '-y+9/4, z+1, -x+5/4', '-y+9/4, -x+9/4, z', '-z+5/4, -x+9/4, y-1', '-z+5/4, y, -x+5/4']], [['x, y, z', 'z, x, y', 'y, z, x', '-y+1, -x+1, -z+1', '-x+1, -z+1, -y+1', '-z+1, -y+1, -x+1', '-x+1, -y+1, -z+1', '-z+1, -x+1, -y+1', '-y+1, -z+1, -x+1', 'y, x, z', 'x, z, y', 'z, y, x'], ['x, y, z', '-z+1/4, x+1/2, -y+3/4', 'y-1/2, -z+3/4, -x+1/4', '-y+1, -x+1, -z', '-x+1/2, z+3/4, y-3/4', 'z+1/4, 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z', 'z, -y+5/4, -x+7/4', '-x+7/4, y, -z+7/4', '-z+7/4, -y+5/4, x'], ['x, y, z', '-x+9/4, -z+7/4, y+1', '-x+9/4, z-1, -y+7/4', 'x, -y+3/4, -z+11/4'], ['x, y, z', '-x+5/4, -z+7/4, y', '-x+5/4, z, -y+7/4', 'x, -y+7/4, -z+7/4'], ['x, y, z', '-y+7/4, x-1, -z+5/4', 'y+1, -x+7/4, -z+5/4', '-x+11/4, -y+3/4, z'], ['x, y, z', '-y+7/4, x, -z+9/4', 'y, -x+7/4, -z+9/4', '-x+7/4, -y+7/4, z'], ['x, y, z', '-x+11/4, z+1/2, -y+3/4', 'x, -y+5/4, -z+1/4', '-x+11/4, -z+3/4, y-1/2'], ['x, y, z', '-x+7/4, z+1/2, -y+7/4', 'x, -y+9/4, -z+5/4', '-x+7/4, -z+7/4, y-1/2'], ['x, y, z', '-z+3/4, -y+11/4, x-1/2', '-x+5/4, y, -z+1/4', 'z+1/2, -y+11/4, -x+3/4'], ['x, y, z', '-z+7/4, -y+7/4, x-1/2', '-x+9/4, y, -z+5/4', 'z+1/2, -y+7/4, -x+7/4'], ['x, y, z', 'y, -x+5/4, -z+7/4', '-x+5/4, -y+5/4, z', '-y+5/4, x, -z+7/4'], ['x, y, z', 'y, -x+9/4, -z+3/4', '-x+9/4, -y+9/4, z', '-y+9/4, x, -z+3/4'], ['x, y, z', '-x+11/4, y, -z+7/4', '-z+9/4, -y+5/4, x-1/2', 'z+1/2, -y+5/4, -x+9/4'], ['x, y, z', '-x+7/4, y, -z+3/4', '-z+5/4, -y+9/4, x-1/2', 'z+1/2, -y+9/4, -x+5/4'], ['x, y, z', '-x+9/4, -z+7/4, y', '-x+9/4, z, -y+7/4', 'x, -y+7/4, -z+7/4'], ['x, y, z', '-x+5/4, -z+7/4, y-1', '-x+5/4, z+1, -y+7/4', 'x, -y+11/4, -z+3/4'], ['x, y, z', '-x+11/4, -y+7/4, z', 'y+1/2, -x+9/4, -z+1/4', '-y+9/4, x-1/2, -z+1/4'], ['x, y, z', '-x+7/4, -y+11/4, z', 'y-1/2, -x+9/4, -z+5/4', '-y+9/4, x+1/2, -z+5/4']], [['x, y, z', 'z, x, y', 'y, z, x', '-x, -y, -z', '-z, -x, -y', '-y, -z, -x'], ['x, y, z', '-z+3/4, x+1/2, -y+5/4', 'y-1/2, -z+5/4, -x+3/4', '-x+1/2, -y+3/2, -z+1', 'z-1/4, -x+1, y-1/4', '-y+1, z+1/4, x+1/4'], ['x, y, z', 'z+1/2, -x+5/4, -y+3/4', '-y+5/4, -z+3/4, x-1/2', '-x+3/2, -y+1, -z+1/2', '-z+1, x-1/4, y-1/4', 'y+1/4, z+1/4, -x+1'], ['x, y, z', '-z+5/4, -x+3/4, y+1/2', '-y+3/4, z-1/2, -x+5/4', '-x+1, -y+1/2, -z+3/2', 'z-1/4, x-1/4, -y+1', 'y+1/4, -z+1, x+1/4'], ['x, y, z', '-z+3/4, x-1/2, -y+1/4', 'y+1/2, -z+1/4, -x+3/4', '-x+3/2, -y+1/2, -z', 'z+3/4, -x+1, y-1/4', '-y+1, z+1/4, x-3/4'], ['x, y, z', 'z, x, y', 'y, z, x', '-x+1, -y+1, -z+1', '-z+1, -x+1, -y+1', '-y+1, -z+1, -x+1'], ['x, y, z', 'z-1/2, -x+1/4, -y+3/4', '-y+1/4, -z+3/4, x+1/2', '-x+1/2, -y, -z+3/2', '-z+1, x-1/4, y+3/4', 'y+1/4, z-3/4, -x+1'], ['x, y, z', '-z+1/4, -x+3/4, y-1/2', '-y+3/4, z+1/2, -x+1/4', '-x, -y+3/2, -z+1/2', 'z-1/4, x+3/4, -y+1', 'y-3/4, -z+1, x+1/4'], ['x, y, z', '-x, -y+1, -z+1', 'y-1/2, z, x+1/2', '-y+1/2, -z+1, -x+1/2', 'z-1/2, x+1/2, y', '-z+1/2, -x+1/2, -y+1'], ['x, y, z', 'z-3/4, -x+3/2, y-1/4', '-y+3/2, z+1/4, x+3/4', 'y-1, -z+9/4, -x+5/4', '-z+5/4, x+1, -y+9/4', '-x+1/2, -y+5/2, -z+2'], ['x, y, z', 'y-1/4, z+1/4, -x+3/2', '-z+3/2, x+1/4, y-1/4', '-y+7/4, -z+7/4, x', '-x+3/2, -y+2, -z+3/2', 'z, -x+7/4, -y+7/4'], ['x, y, z', '-x+1, -y+3/2, -z+5/2', '-y+5/4, z-1/2, -x+7/4', 'z-3/4, x+1/4, -y+2', '-z+7/4, -x+5/4, y+1/2', 'y-1/4, -z+2, x+3/4'], ['x, y, z', 'z+1/4, -x+3/2, y-1/4', '-y+3/2, z+1/4, x-1/4', 'y, -z+5/4, -x+5/4', '-z+5/4, x, -y+5/4', '-x+3/2, -y+3/2, -z+1'], ['x, y, z', '-x+1, -y+2, -z+2', 'y-1/2, z, 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x, z', 'x, -z, -y', '-z, y, -x'], ['x, y, z', 'z, x, y', 'y, z, x', 'y, x, z', 'x, z, y', 'z, y, x'], ['x, y, z', 'z, -x, -y', '-y, -z, x', '-y, -x, z', 'x, -z, -y', 'z, y, x'], ['x, y, z', '-z, -x, y', '-y, z, -x', '-y, -x, z', 'x, z, y', '-z, y, -x'], ['x, y, z', 'z, x, y', 'y, z, x', 'y, x, z', 'x, z, y', 'z, y, x'], ['x, y, z', '-z+1, x, -y+1', 'y, -z+1, -x+1', 'y, x, z', 'x, -z+1, -y+1', '-z+1, y, -x+1'], ['x, y, z', 'z, -x+1, -y+1', '-y+1, -z+1, x', '-y+1, -x+1, z', 'x, -z+1, -y+1', 'z, y, x'], ['x, y, z', '-z+1, -x+1, y', '-y+1, z, -x+1', '-y+1, -x+1, z', 'x, z, y', '-z+1, y, -x+1'], ['x, y, z', '-z+1, x, -y+1', 'y, -z+1, -x+1', 'y, x, z', 'x, -z+1, -y+1', '-z+1, y, -x+1'], ['x, y, z', 'z, x, y', 'y, z, x', 'y, x, z', 'x, z, y', 'z, y, x'], ['x, y, z', 'z, -x+1, -y+1', '-y+1, -z+1, x', '-y+1, -x+1, z', 'x, -z+1, -y+1', 'z, y, x'], ['x, y, z', '-z+1, -x+1, y', '-y+1, z, -x+1', '-y+1, -x+1, z', 'x, z, y', '-z+1, y, -x+1']], [['x, y, z', 'x, -y, -z', 'x, z, -y', 'x, -z, y', 'x, y, -z', 'x, -y, z', 'x, -z, -y', 'x, z, y'], ['x, y, z', 'x, -y, -z', 'x, z, -y', 'x, -z, y', 'x, y, -z', 'x, -y, z', 'x, -z, -y', 'x, z, y'], ['x, y, z', '-x, y, -z', 'z, y, -x', '-z, y, x', 'x, y, -z', '-x, y, z', '-z, y, -x', 'z, y, x'], ['x, y, z', '-x, y, -z', 'z, y, -x', '-z, y, x', 'x, y, -z', '-x, y, z', '-z, y, -x', 'z, y, x'], ['x, y, z', '-x, -y, z', 'y, -x, z', '-y, x, z', 'x, -y, z', '-x, y, z', '-y, -x, z', 'y, x, z'], ['x, y, z', '-x, -y, z', 'y, -x, z', '-y, x, z', 'x, -y, z', '-x, y, z', '-y, -x, z', 'y, x, z'], ['x, y, z', 'x, -y+1, -z+1', 'x, z, -y+1', 'x, -z+1, y', 'x, y, -z+1', 'x, -y+1, z', 'x, -z+1, -y+1', 'x, z, y'], ['x, y, z', 'x, -y+1, -z+1', 'x, z, -y+1', 'x, -z+1, y', 'x, y, -z+1', 'x, -y+1, z', 'x, -z+1, -y+1', 'x, z, y'], ['x, y, z', '-x+1, y, -z+1', 'z, y, -x+1', '-z+1, y, x', 'x, y, -z+1', '-x+1, y, z', '-z+1, y, -x+1', 'z, y, x'], ['x, y, z', '-x+1, y, -z+1', 'z, y, -x+1', '-z+1, y, x', 'x, y, -z+1', '-x+1, y, z', '-z+1, y, -x+1', 'z, y, x'], ['x, y, z', 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'-x, -y+1, z', 'x, -y+1, z', '-x, y, z', 'y-1/2, x+1/2, -z+3/2', '-y+1/2, -x+1/2, -z+3/2', '-y+1/2, x+1/2, -z+3/2', 'y-1/2, -x+1/2, -z+3/2'], ['x, y, z', 'x, -y+1, -z+2', 'x, y, -z+2', 'x, -y+1, z', '-x+3/2, z-1/2, y+1/2', '-x+3/2, -z+3/2, -y+3/2', '-x+3/2, -z+3/2, y+1/2', '-x+3/2, z-1/2, -y+3/2'], ['x, y, z', 'x, -y+1, -z+2', 'x, y, -z+2', 'x, -y+1, z', '-x+5/2, z-1/2, y+1/2', '-x+5/2, -z+3/2, -y+3/2', '-x+5/2, -z+3/2, y+1/2', '-x+5/2, z-1/2, -y+3/2'], ['x, y, z', '-x+2, y, -z+1', 'x, y, -z+1', '-x+2, y, z', 'z+1/2, -y+3/2, x-1/2', '-z+3/2, -y+3/2, -x+3/2', '-z+3/2, -y+3/2, x-1/2', 'z+1/2, -y+3/2, -x+3/2'], ['x, y, z', '-x+2, y, -z+1', 'x, y, -z+1', '-x+2, y, z', 'z+1/2, -y+5/2, x-1/2', '-z+3/2, -y+5/2, -x+3/2', '-z+3/2, -y+5/2, x-1/2', 'z+1/2, -y+5/2, -x+3/2'], ['x, y, z', '-x+1, -y+2, z', 'x, -y+2, z', '-x+1, y, z', 'y-1/2, x+1/2, -z+3/2', '-y+3/2, -x+3/2, -z+3/2', '-y+3/2, x+1/2, -z+3/2', 'y-1/2, -x+3/2, -z+3/2'], ['x, y, z', '-x+1, -y+2, z', 'x, -y+2, z', '-x+1, y, z', 'y-1/2, x+1/2, -z+5/2', '-y+3/2, -x+3/2, -z+5/2', '-y+3/2, x+1/2, -z+5/2', 'y-1/2, -x+3/2, -z+5/2']], [['x, y, z', 'z, x, y', 'y, z, x', 'y, x, z', 'x, z, y', 'z, y, x', '-y+1/2, -x+1/2, -z+1/2', '-x+1/2, -z+1/2, -y+1/2', '-z+1/2, -y+1/2, -x+1/2', '-x+1/2, -y+1/2, -z+1/2', '-z+1/2, -x+1/2, -y+1/2', '-y+1/2, -z+1/2, -x+1/2'], ['x, y, z', '-z+1, x, -y+1', 'y, -z+1, -x+1', 'y, x, z', 'x, -z+1, -y+1', '-z+1, y, -x+1', '-y+3/2, -x+3/2, -z+1/2', '-x+3/2, z+1/2, y-1/2', 'z+1/2, -y+3/2, x-1/2', '-x+3/2, -y+3/2, -z+1/2', 'z+1/2, -x+3/2, y-1/2', '-y+3/2, z+1/2, x-1/2'], ['x, y, z', 'z, -x+1, -y+1', '-y+1, -z+1, x', '-y+1, -x+1, z', 'x, -z+1, -y+1', 'z, y, x', 'y+1/2, x-1/2, -z+3/2', '-x+3/2, z-1/2, y+1/2', '-z+3/2, -y+1/2, -x+3/2', '-x+3/2, -y+1/2, -z+3/2', '-z+3/2, x-1/2, y+1/2', 'y+1/2, z-1/2, -x+3/2'], ['x, y, z', '-z+1, -x+1, y', '-y+1, z, -x+1', '-y+1, -x+1, z', 'x, z, y', '-z+1, y, -x+1', 'y-1/2, x+1/2, -z+3/2', '-x+1/2, -z+3/2, -y+3/2', 'z-1/2, -y+3/2, x+1/2', '-x+1/2, -y+3/2, -z+3/2', 'z-1/2, x+1/2, -y+3/2', 'y-1/2, -z+3/2, x+1/2'], ['x, y, z', 'z, x, y', 'y, z, x', 'y, x, z', 'x, z, y', 'z, y, x', '-y+3/2, -x+3/2, -z+3/2', '-x+3/2, -z+3/2, -y+3/2', '-z+3/2, -y+3/2, -x+3/2', '-x+3/2, -y+3/2, -z+3/2', '-z+3/2, -x+3/2, -y+3/2', '-y+3/2, -z+3/2, -x+3/2'], ['x, y, z', '-z+2, x, -y+2', 'y, -z+2, -x+2', 'y, x, z', 'x, -z+2, -y+2', '-z+2, y, -x+2', '-y+5/2, -x+5/2, -z+3/2', '-x+5/2, z+1/2, y-1/2', 'z+1/2, -y+5/2, x-1/2', '-x+5/2, -y+5/2, -z+3/2', 'z+1/2, -x+5/2, y-1/2', '-y+5/2, z+1/2, x-1/2'], ['x, y, z', 'z, -x+2, -y+2', '-y+2, -z+2, x', '-y+2, -x+2, z', 'x, -z+2, -y+2', 'z, y, x', 'y+1/2, x-1/2, -z+5/2', '-x+5/2, z-1/2, y+1/2', '-z+5/2, -y+3/2, -x+5/2', '-x+5/2, -y+3/2, -z+5/2', '-z+5/2, x-1/2, y+1/2', 'y+1/2, z-1/2, -x+5/2'], ['x, y, z', '-z+2, -x+2, y', '-y+2, z, -x+2', '-y+2, -x+2, z', 'x, z, y', '-z+2, y, -x+2', 'y-1/2, x+1/2, -z+5/2', '-x+3/2, -z+5/2, -y+5/2', 'z-1/2, -y+5/2, x+1/2', '-x+3/2, -y+5/2, -z+5/2', 'z-1/2, x+1/2, -y+5/2', 'y-1/2, -z+5/2, x+1/2']], [['x, y, z', '-x, -y+1, z', '-x, y, -z+1', 'x, -y+1, -z+1', 'x, z, -y+1', '-x, z, y', '-x, -z+1, -y+1', 'x, -z+1, y', '-x, -y+1, -z+1', 'x, y, -z+1', 'x, -y+1, z', '-x, y, z', '-x, -z+1, y', 'x, -z+1, -y+1', 'x, z, y', '-x, z, -y+1'], ['x, y, z', '-x+1, -y, z', '-x+1, y, -z+1', 'x, -y, -z+1', 'z, y, -x+1', 'z, -y, x', '-z+1, y, x', '-z+1, -y, -x+1', '-x+1, -y, -z+1', 'x, y, -z+1', 'x, -y, z', '-x+1, y, z', '-z+1, -y, x', '-z+1, y, -x+1', 'z, -y, -x+1', 'z, y, x'], ['x, y, z', '-x+1, -y+1, z', '-x+1, y, -z', 'x, -y+1, -z', 'y, x, -z', '-y+1, -x+1, -z', 'y, -x+1, z', '-y+1, x, z', '-x+1, -y+1, -z', 'x, y, -z', 'x, -y+1, z', '-x+1, y, z', '-y+1, -x+1, z', 'y, x, z', '-y+1, x, -z', 'y, -x+1, -z'], ['x, y, z', '-x+1, -y+2, z', '-x+1, y, -z+2', 'x, -y+2, -z+2', 'x, z, -y+2', '-x+1, z, y', '-x+1, -z+2, -y+2', 'x, -z+2, y', '-x+1, -y+2, -z+2', 'x, y, -z+2', 'x, -y+2, z', '-x+1, y, z', '-x+1, -z+2, y', 'x, -z+2, -y+2', 'x, z, y', '-x+1, z, -y+2'], ['x, y, z', '-x+2, -y+1, z', '-x+2, y, -z+2', 'x, -y+1, 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'-z, -y, x', '-z, y, -x', 'z, -y, -x', 'z, y, x'], ['x, y, z', '-x+1, -y+1, z', '-x+1, y, -z+1', 'x, -y+1, -z+1', 'z, x, y', 'z, -x+1, -y+1', '-z+1, -x+1, y', '-z+1, x, -y+1', 'y, z, x', '-y+1, z, -x+1', 'y, -z+1, -x+1', '-y+1, -z+1, x', 'y, x, -z+1', '-y+1, -x+1, -z+1', 'y, -x+1, z', '-y+1, x, z', 'x, z, -y+1', '-x+1, z, y', '-x+1, -z+1, -y+1', 'x, -z+1, y', 'z, y, -x+1', 'z, -y+1, x', '-z+1, y, x', '-z+1, -y+1, -x+1', '-x+1, -y+1, -z+1', 'x, y, -z+1', 'x, -y+1, z', '-x+1, y, z', '-z+1, -x+1, -y+1', '-z+1, x, y', 'z, x, -y+1', 'z, -x+1, y', '-y+1, -z+1, -x+1', 'y, -z+1, x', '-y+1, z, x', 'y, z, -x+1', '-y+1, -x+1, z', 'y, x, z', '-y+1, x, -z+1', 'y, -x+1, -z+1', '-x+1, -z+1, y', 'x, -z+1, -y+1', 'x, z, y', '-x+1, z, -y+1', '-z+1, -y+1, x', '-z+1, y, -x+1', 'z, -y+1, -x+1', 'z, y, x']]]\"\n230,\"[[['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, 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z'], ['x, y, z'], ['x, y, z'], ['x, y, z'], ['x, y, z']], [['x, y, z', '-x+1/4, -z+1/4, -y+1/4'], ['x, y, z', '-x+3/4, z-3/4, y+3/4'], ['x, y, z', '-x+7/4, z+1/4, y-1/4'], ['x, y, z', '-x+5/4, -z+5/4, -y+5/4'], ['x, y, z', '-z+1/4, -y+1/4, -x+1/4'], ['x, y, z', 'z+3/4, -y+3/4, x-3/4'], ['x, y, z', 'z-1/4, -y+7/4, x+1/4'], ['x, y, z', '-z+5/4, -y+5/4, -x+5/4'], ['x, y, z', '-y+1/4, -x+1/4, -z+1/4'], ['x, y, z', 'y-3/4, x+3/4, -z+3/4'], ['x, y, z', 'y+1/4, x-1/4, -z+7/4'], ['x, y, z', '-y+5/4, -x+5/4, -z+5/4'], ['x, y, z', '-x+7/4, -z+3/4, -y+3/4'], ['x, y, z', '-x+5/4, z-1/4, y+1/4'], ['x, y, z', '-x+1/4, z-1/4, y+1/4'], ['x, y, z', '-x+3/4, -z+3/4, -y+3/4'], ['x, y, z', '-z+3/4, -y+7/4, -x+3/4'], ['x, y, z', 'z+1/4, -y+5/4, x-1/4'], ['x, y, z', 'z+1/4, -y+1/4, x-1/4'], ['x, y, z', '-z+3/4, -y+3/4, -x+3/4'], ['x, y, z', '-y+3/4, -x+3/4, -z+7/4'], ['x, y, z', 'y-1/4, x+1/4, -z+5/4'], ['x, y, z', 'y-1/4, x+1/4, -z+1/4'], ['x, y, z', '-y+3/4, -x+3/4, -z+3/4'], ['x, y, z', '-x+5/4, -z+5/4, -y+5/4'], ['x, y, z', '-x+7/4, z-3/4, y+3/4'], ['x, y, z', '-x+11/4, z+1/4, y-1/4'], ['x, y, z', '-x+9/4, -z+9/4, -y+9/4'], ['x, y, z', '-z+5/4, -y+5/4, -x+5/4'], ['x, y, z', 'z+3/4, -y+7/4, x-3/4'], ['x, y, z', 'z-1/4, -y+11/4, x+1/4'], ['x, y, z', '-z+9/4, -y+9/4, -x+9/4'], ['x, y, z', '-y+5/4, -x+5/4, -z+5/4'], ['x, y, z', 'y-3/4, x+3/4, -z+7/4'], ['x, y, z', 'y+1/4, x-1/4, -z+11/4'], ['x, y, z', '-y+9/4, -x+9/4, -z+9/4'], ['x, y, z', '-x+11/4, -z+7/4, -y+7/4'], ['x, y, z', '-x+9/4, z-1/4, y+1/4'], ['x, y, z', '-x+5/4, z-1/4, y+1/4'], ['x, y, z', '-x+7/4, -z+7/4, -y+7/4'], ['x, y, z', '-z+7/4, -y+11/4, -x+7/4'], ['x, y, z', 'z+1/4, -y+9/4, x-1/4'], ['x, y, z', 'z+1/4, -y+5/4, x-1/4'], ['x, y, z', '-z+7/4, -y+7/4, -x+7/4'], ['x, y, z', '-y+7/4, -x+7/4, -z+11/4'], ['x, y, z', 'y-1/4, x+1/4, -z+9/4'], ['x, y, z', 'y-1/4, x+1/4, -z+5/4'], ['x, y, z', '-y+7/4, -x+7/4, -z+7/4']], [['x, y, z', 'x, -y, -z+1/2'], ['x, y, z', 'x, -y, -z+3/2'], ['x, y, z', '-x+1/2, y, -z'], ['x, y, z', '-x+3/2, y, -z'], ['x, y, z', '-x, -y+1/2, z'], ['x, y, z', '-x, -y+3/2, z'], ['x, y, z', '-x+3/2, y, -z'], ['x, y, z', '-x+3/2, y, -z+1'], ['x, y, z', 'x, -y+1, -z+1/2'], ['x, y, z', 'x, -y, -z+1/2'], ['x, y, z', '-x, -y+1/2, z'], ['x, y, z', '-x+1, -y+1/2, z'], ['x, y, z', 'x, -y, -z+3/2'], ['x, y, z', 'x, -y, -z+1/2'], ['x, y, z', '-x+3/2, y, -z'], ['x, y, z', '-x+1/2, y, -z'], ['x, y, z', '-x, -y+3/2, z'], ['x, y, z', '-x, -y+1/2, z'], ['x, y, z', '-x+1/2, y, -z'], ['x, y, z', '-x+1/2, y, -z+1'], ['x, y, z', 'x, -y+1, -z+3/2'], ['x, y, z', 'x, -y, -z+3/2'], ['x, y, z', '-x, -y+3/2, z'], ['x, y, z', '-x+1, -y+3/2, z'], ['x, y, z', 'x, -y+1, -z+3/2'], ['x, y, z', 'x, -y+1, -z+5/2'], ['x, y, z', '-x+3/2, y, -z+1'], ['x, y, z', '-x+5/2, y, -z+1'], ['x, y, z', '-x+1, -y+3/2, z'], ['x, y, z', '-x+1, -y+5/2, z'], ['x, y, z', '-x+5/2, y, -z+1'], ['x, y, z', '-x+5/2, y, -z+2'], ['x, y, z', 'x, -y+2, -z+3/2'], ['x, y, z', 'x, -y+1, -z+3/2'], ['x, y, z', '-x+1, -y+3/2, z'], ['x, y, z', '-x+2, 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-x+1, y-1/2', '-y+1, z+1/2, -x+1/2'], ['x, y, z', '-z+1, x+1/2, -y+3/2', 'y-1/2, -z+3/2, -x+1'], ['x, y, z', 'z, x, y', 'y, z, x'], ['x, y, z', 'z+1/2, -x+3/2, -y+1', '-y+3/2, -z+1, x-1/2'], ['x, y, z', '-z+3/2, -x+1, y+1/2', '-y+1, z-1/2, -x+3/2'], ['x, y, z', 'z, x, y', 'y, z, x'], ['x, y, z', '-z+2, x-1/2, -y+3/2', 'y+1/2, -z+3/2, -x+2'], ['x, y, z', 'z-1/2, -x+3/2, -y+2', '-y+3/2, -z+2, x+1/2'], ['x, y, z', '-z+3/2, -x+2, y-1/2', '-y+2, z+1/2, -x+3/2'], ['x, y, z', '-z+2, x-1/2, -y+3/2', 'y+1/2, -z+3/2, -x+2'], ['x, y, z', 'z, x, y', 'y, z, x'], ['x, y, z', 'z-1/2, -x+3/2, -y+2', '-y+3/2, -z+2, x+1/2'], ['x, y, z', '-z+3/2, -x+2, y-1/2', '-y+2, z+1/2, -x+3/2'], ['x, y, z', 'z, x, y', 'y, z, x'], ['x, y, z', '-z+2, x-1/2, -y+3/2', 'y+1/2, -z+3/2, -x+2'], ['x, y, z', 'z-1/2, -x+3/2, -y+2', '-y+3/2, -z+2, x+1/2'], ['x, y, z', '-z+3/2, -x+2, y-1/2', '-y+2, z+1/2, -x+3/2'], ['x, y, z', '-z+2, x+1/2, -y+5/2', 'y-1/2, -z+5/2, -x+2'], ['x, y, z', 'z, x, y', 'y, z, x'], ['x, y, z', 'z+1/2, -x+5/2, -y+2', '-y+5/2, -z+2, x-1/2'], ['x, y, z', '-z+5/2, -x+2, y+1/2', '-y+2, z-1/2, -x+5/2']], [['x, y, z', '-x+3/4, z-1/4, -y+1/4', 'x, -y, -z+1/2', '-x+3/4, -z+1/4, y+1/4'], ['x, y, z', '-x+1/4, -z+3/4, y+3/4', 'x, -y, -z+3/2', '-x+1/4, z-3/4, -y+3/4'], ['x, y, z', '-z+1/4, -y+3/4, x-1/4', '-x+1/2, y, -z', 'z+1/4, -y+3/4, -x+1/4'], ['x, y, z', 'z+3/4, -y+1/4, -x+3/4', '-x+3/2, y, -z', '-z+3/4, -y+1/4, x-3/4'], ['x, y, z', 'y-1/4, -x+1/4, -z+3/4', '-x, -y+1/2, z', '-y+1/4, x+1/4, -z+3/4'], ['x, y, z', '-y+3/4, x+3/4, -z+1/4', '-x, -y+3/2, z', 'y-3/4, -x+3/4, -z+1/4'], ['x, y, z', 'z+3/4, -y+5/4, -x+3/4', '-x+3/2, y, -z', '-z+3/4, -y+5/4, x-3/4'], ['x, y, z', '-z+5/4, -y+3/4, x-1/4', '-x+3/2, y, -z+1', 'z+1/4, -y+3/4, -x+5/4'], ['x, y, z', '-x+1/4, -z+3/4, y-1/4', 'x, -y+1, -z+1/2', '-x+1/4, z+1/4, -y+3/4'], ['x, y, z', '-x+7/4, z-1/4, -y+1/4', 'x, -y, -z+1/2', '-x+7/4, -z+1/4, y+1/4'], ['x, y, z', 'y-1/4, -x+1/4, -z+7/4', '-x, -y+1/2, z', '-y+1/4, x+1/4, -z+7/4'], ['x, y, z', '-y+3/4, x-1/4, -z+1/4', '-x+1, -y+1/2, z', 'y+1/4, -x+3/4, -z+1/4'], ['x, y, z', '-x+7/4, z-1/4, -y+5/4', 'x, -y+1, -z+3/2', '-x+7/4, -z+5/4, y+1/4'], ['x, y, z', '-x+5/4, -z+7/4, y+3/4', 'x, -y+1, -z+5/2', '-x+5/4, z-3/4, -y+7/4'], ['x, y, z', '-z+5/4, -y+7/4, x-1/4', '-x+3/2, y, -z+1', 'z+1/4, -y+7/4, -x+5/4'], ['x, y, z', 'z+3/4, -y+5/4, -x+7/4', '-x+5/2, y, -z+1', '-z+7/4, -y+5/4, x-3/4'], ['x, y, z', 'y-1/4, -x+5/4, -z+7/4', '-x+1, -y+3/2, z', '-y+5/4, x+1/4, -z+7/4'], ['x, y, z', '-y+7/4, x+3/4, -z+5/4', '-x+1, -y+5/2, z', 'y-3/4, -x+7/4, -z+5/4'], ['x, y, z', 'z+3/4, -y+9/4, -x+7/4', '-x+5/2, y, -z+1', '-z+7/4, -y+9/4, x-3/4'], ['x, y, z', '-z+9/4, -y+7/4, x-1/4', '-x+5/2, y, -z+2', 'z+1/4, -y+7/4, -x+9/4'], ['x, y, z', '-x+5/4, -z+7/4, y-1/4', 'x, -y+2, -z+3/2', '-x+5/4, z+1/4, -y+7/4'], ['x, y, z', '-x+11/4, z-1/4, -y+5/4', 'x, -y+1, -z+3/2', '-x+11/4, -z+5/4, y+1/4'], ['x, y, z', 'y-1/4, -x+5/4, -z+11/4', '-x+1, -y+3/2, z', '-y+5/4, x+1/4, -z+11/4'], ['x, y, z', '-y+7/4, x-1/4, -z+5/4', '-x+2, -y+3/2, z', 'y+1/4, -x+7/4, -z+5/4']], [['x, y, z', '-x+1/4, z-1/4, y+1/4', 'x, -y, -z+1/2', '-x+1/4, -z+1/4, -y+1/4'], ['x, y, z', '-x+3/4, -z+3/4, -y+3/4', 'x, -y, -z+3/2', '-x+3/4, z-3/4, y+3/4'], ['x, y, z', 'z+1/4, -y+1/4, x-1/4', '-x+1/2, y, -z', '-z+1/4, -y+1/4, -x+1/4'], ['x, y, z', '-z+3/4, -y+3/4, -x+3/4', '-x+3/2, y, -z', 'z+3/4, -y+3/4, x-3/4'], ['x, y, z', 'y-1/4, x+1/4, -z+1/4', '-x, -y+1/2, z', '-y+1/4, -x+1/4, -z+1/4'], ['x, y, z', '-y+3/4, -x+3/4, -z+3/4', '-x, -y+3/2, z', 'y-3/4, x+3/4, -z+3/4'], ['x, y, z', '-x+7/4, -z+3/4, -y+3/4', 'x, -y, -z+3/2', '-x+7/4, z-3/4, y+3/4'], ['x, y, z', '-x+5/4, z-1/4, y+1/4', 'x, -y, -z+1/2', '-x+5/4, -z+1/4, -y+1/4'], ['x, y, z', '-z+3/4, -y+7/4, -x+3/4', '-x+3/2, y, -z', 'z+3/4, -y+7/4, x-3/4'], ['x, y, z', 'z+1/4, -y+5/4, x-1/4', '-x+1/2, y, -z', '-z+1/4, -y+5/4, -x+1/4'], ['x, y, z', '-y+3/4, -x+3/4, -z+7/4', '-x, -y+3/2, z', 'y-3/4, x+3/4, -z+7/4'], ['x, y, z', 'y-1/4, x+1/4, -z+5/4', '-x, -y+1/2, z', '-y+1/4, -x+1/4, -z+5/4'], ['x, y, z', '-x+5/4, z-1/4, y+1/4', 'x, -y+1, -z+3/2', '-x+5/4, -z+5/4, -y+5/4'], ['x, y, z', '-x+7/4, -z+7/4, -y+7/4', 'x, -y+1, -z+5/2', '-x+7/4, z-3/4, y+3/4'], ['x, y, z', 'z+1/4, -y+5/4, x-1/4', '-x+3/2, y, -z+1', '-z+5/4, -y+5/4, -x+5/4'], ['x, y, z', '-z+7/4, -y+7/4, -x+7/4', '-x+5/2, y, -z+1', 'z+3/4, -y+7/4, x-3/4'], ['x, y, z', 'y-1/4, x+1/4, -z+5/4', '-x+1, -y+3/2, z', '-y+5/4, -x+5/4, -z+5/4'], ['x, y, z', '-y+7/4, -x+7/4, -z+7/4', '-x+1, -y+5/2, z', 'y-3/4, x+3/4, -z+7/4'], ['x, y, z', '-x+11/4, -z+7/4, -y+7/4', 'x, -y+1, -z+5/2', '-x+11/4, z-3/4, y+3/4'], ['x, y, z', '-x+9/4, z-1/4, y+1/4', 'x, -y+1, -z+3/2', '-x+9/4, -z+5/4, -y+5/4'], ['x, y, z', '-z+7/4, -y+11/4, -x+7/4', '-x+5/2, y, -z+1', 'z+3/4, -y+11/4, x-3/4'], ['x, y, z', 'z+1/4, -y+9/4, x-1/4', '-x+3/2, y, -z+1', '-z+5/4, -y+9/4, -x+5/4'], ['x, y, z', '-y+7/4, -x+7/4, -z+11/4', '-x+1, -y+5/2, z', 'y-3/4, x+3/4, -z+11/4'], ['x, y, z', 'y-1/4, x+1/4, -z+9/4', '-x+1, -y+3/2, z', '-y+5/4, -x+5/4, -z+9/4']], [['x, y, z', 'z, x, y', 'y, z, x', '-y+1/4, -x+1/4, -z+1/4', '-x+1/4, -z+1/4, -y+1/4', '-z+1/4, -y+1/4, -x+1/4'], ['x, y, z', '-z+1, x+1/2, -y+3/2', 'y-1/2, -z+3/2, -x+1', '-y+5/4, -x+5/4, -z+5/4', '-x+3/4, z+1/4, y-1/4', 'z-1/4, -y+7/4, x+1/4'], ['x, y, z', 'z+1/2, -x+3/2, -y+1', '-y+3/2, -z+1, x-1/2', 'y+1/4, x-1/4, -z+3/4', '-x+7/4, z+1/4, y-1/4', '-z+5/4, -y+5/4, -x+5/4'], ['x, y, z', '-z+3/2, -x+1, y+1/2', '-y+1, z-1/2, -x+3/2', 'y+1/4, x-1/4, -z+7/4', '-x+5/4, -z+5/4, -y+5/4', 'z-1/4, -y+3/4, x+1/4'], ['x, y, z', 'z, x, y', 'y, z, x', '-y+7/4, -x+7/4, -z+7/4', '-x+7/4, -z+7/4, -y+7/4', '-z+7/4, -y+7/4, -x+7/4'], ['x, y, z', '-z+1, x-1/2, -y+1/2', 'y+1/2, -z+1/2, -x+1', '-y+3/4, -x+3/4, -z+3/4', '-x+5/4, z-1/4, y+1/4', 'z+1/4, -y+1/4, x-1/4'], ['x, y, z', 'z-1/2, -x+1/2, -y+1', '-y+1/2, -z+1, x+1/2', 'y-1/4, x+1/4, -z+5/4', '-x+1/4, z-1/4, y+1/4', '-z+3/4, -y+3/4, -x+3/4'], ['x, y, z', '-z+1/2, -x+1, y-1/2', '-y+1, z+1/2, -x+1/2', 'y-1/4, x+1/4, -z+1/4', '-x+3/4, -z+3/4, -y+3/4', 'z+1/4, -y+5/4, x-1/4'], ['x, y, z', 'z, x, y', 'y, z, x', '-y+5/4, -x+5/4, -z+5/4', '-x+5/4, -z+5/4, -y+5/4', '-z+5/4, -y+5/4, -x+5/4'], ['x, y, z', '-z+2, x+1/2, -y+5/2', 'y-1/2, -z+5/2, -x+2', '-y+9/4, -x+9/4, -z+9/4', '-x+7/4, z+1/4, y-1/4', 'z-1/4, -y+11/4, x+1/4'], ['x, y, z', 'z+1/2, -x+5/2, -y+2', '-y+5/2, -z+2, x-1/2', 'y+1/4, x-1/4, -z+7/4', '-x+11/4, z+1/4, y-1/4', '-z+9/4, -y+9/4, -x+9/4'], ['x, y, z', '-z+5/2, -x+2, y+1/2', '-y+2, z-1/2, -x+5/2', 'y+1/4, x-1/4, -z+11/4', '-x+9/4, -z+9/4, -y+9/4', 'z-1/4, -y+7/4, x+1/4'], ['x, y, z', 'z, x, y', 'y, z, x', '-y+11/4, -x+11/4, -z+11/4', '-x+11/4, -z+11/4, -y+11/4', '-z+11/4, -y+11/4, -x+11/4'], ['x, y, z', '-z+2, x-1/2, -y+3/2', 'y+1/2, -z+3/2, -x+2', '-y+7/4, -x+7/4, -z+7/4', '-x+9/4, z-1/4, y+1/4', 'z+1/4, -y+5/4, x-1/4'], ['x, y, z', 'z-1/2, -x+3/2, -y+2', '-y+3/2, -z+2, x+1/2', 'y-1/4, x+1/4, -z+9/4', '-x+5/4, z-1/4, y+1/4', '-z+7/4, -y+7/4, -x+7/4'], ['x, y, z', '-z+3/2, -x+2, y-1/2', '-y+2, z+1/2, -x+3/2', 'y-1/4, x+1/4, -z+5/4', '-x+7/4, -z+7/4, -y+7/4', 'z+1/4, -y+9/4, x-1/4']], [['x, y, z', 'z, x, y', 'y, z, x', '-x, -y, -z', '-z, -x, -y', '-y, -z, -x'], ['x, y, z', '-z+1, x-1/2, -y+1/2', 'y+1/2, -z+1/2, -x+1', '-x+1, -y, -z+1', 'z, -x+1/2, y+1/2', '-y+1/2, z-1/2, x'], ['x, y, z', 'z-1/2, -x+1/2, -y+1', '-y+1/2, -z+1, x+1/2', '-x, -y+1, -z+1', '-z+1/2, x+1/2, y', 'y-1/2, z, -x+1/2'], ['x, y, z', '-z+1/2, -x+1, y-1/2', '-y+1, z+1/2, -x+1/2', '-x+1, -y+1, -z', 'z+1/2, x, -y+1/2', 'y, -z+1/2, x-1/2'], ['x, y, z', '-z+1, x-1/2, -y+1/2', 'y+1/2, -z+1/2, -x+1', '-x+3/2, -y+1/2, -z+1/2', 'z+1/2, -x+1, y', '-y+1, z, x-1/2'], ['x, y, z', 'z, x, y', 'y, z, x', '-x+3/2, -y+3/2, -z+3/2', '-z+3/2, -x+3/2, -y+3/2', '-y+3/2, -z+3/2, -x+3/2'], ['x, y, z', 'z-1/2, -x+1/2, -y+1', '-y+1/2, -z+1, x+1/2', '-x+1/2, -y+1/2, -z+3/2', '-z+1, x, y+1/2', 'y, z-1/2, -x+1'], ['x, y, z', '-z+1/2, -x+1, y-1/2', '-y+1, z+1/2, -x+1/2', '-x+1/2, -y+3/2, -z+1/2', 'z, x+1/2, -y+1', 'y-1/2, -z+1, x'], ['x, y, z', 'z, x, y', 'y, z, x', '-x+1, -y+1, -z+1', '-z+1, -x+1, -y+1', '-y+1, -z+1, -x+1'], ['x, y, z', '-z+2, x-1/2, -y+3/2', 'y+1/2, -z+3/2, -x+2', '-x+2, -y+1, -z+2', 'z, -x+3/2, y+1/2', '-y+3/2, z-1/2, x'], ['x, y, z', 'z-1/2, -x+3/2, -y+2', '-y+3/2, -z+2, x+1/2', '-x+1, -y+2, -z+2', '-z+3/2, x+1/2, y', 'y-1/2, z, -x+3/2'], ['x, y, z', '-z+3/2, -x+2, y-1/2', '-y+2, z+1/2, -x+3/2', '-x+2, -y+2, -z+1', 'z+1/2, x, -y+3/2', 'y, -z+3/2, x-1/2'], ['x, y, z', '-z+2, x-1/2, -y+3/2', 'y+1/2, -z+3/2, -x+2', '-x+5/2, -y+3/2, -z+3/2', 'z+1/2, -x+2, y', '-y+2, z, x-1/2'], ['x, y, z', 'z, x, y', 'y, z, x', '-x+5/2, -y+5/2, -z+5/2', '-z+5/2, -x+5/2, -y+5/2', '-y+5/2, -z+5/2, -x+5/2'], ['x, y, z', 'z-1/2, -x+3/2, -y+2', '-y+3/2, -z+2, x+1/2', '-x+3/2, -y+3/2, -z+5/2', '-z+2, x, y+1/2', 'y, z-1/2, -x+2'], ['x, y, z', '-z+3/2, -x+2, y-1/2', '-y+2, z+1/2, -x+3/2', '-x+3/2, -y+5/2, -z+3/2', 'z, x+1/2, -y+2', 'y-1/2, -z+2, x']]]\"\n"
  },
  {
    "path": "pyxtal/db.py",
    "content": "\"\"\"\nDatabase class\n\"\"\"\n\nimport os\nimport logging\n\nimport numpy as np\nimport pymatgen.analysis.structure_matcher as sm\nfrom ase.calculators.calculator import CalculationFailed\nfrom ase.db import connect\n\nfrom pyxtal import pyxtal\nfrom pyxtal.util import ase2pymatgen\n\n\ndef setup_worker_logger(log_file):\n    \"\"\"\n    Set up the logger for each worker process.\n    \"\"\"\n    logging.getLogger().handlers.clear()\n    logging.basicConfig(format=\"%(asctime)s| %(message)s\",\n                        filename=log_file,\n                        level=logging.INFO)\n\ndef call_opt_single(p):\n    \"\"\"\n    Optimize a single structure and log the result.\n\n    Args:\n        p (tuple): A tuple where the first element is an identifier (id), and the\n                   remaining elements are the arguments to pass to `opt_single`.\n\n    Returns:\n        tuple: A tuple (id, xtal, eng) where:\n               - id (int): The identifier of the structure.\n               - xtal: The optimized structure.\n               - eng (float): The energy of the opt_structure, or None if it failed.\n\n    Behavior:\n        This function calls `opt_single` to perform the optimization of the structure\n        associated with the given id.\n    \"\"\"\n    #logger = logging.getLogger()\n    #logger.info(f\"ID: {p[0]} *{sum(p[1].numIons)}\")\n    myid = p[0]\n    xtal, eng, status = opt_single(*p)\n    return myid, xtal, eng\n\n\ndef opt_single(id, xtal, calc, *args):\n    \"\"\"\n    Optimize a structure using the specified calculator.\n\n    Args:\n        id (int): Identifier of the structure to be optimized.\n        xtal: Crystal structure object to be optimized.\n        calc (str): The calculator to use ('GULP', 'DFTB', 'VASP', 'MACE').\n        *args: Additional arguments to pass to the calculator function.\n\n    Returns:\n        tuple: The result of the optimization, which typically includes:\n               - xtal: The optimized structure.\n               - energy (float): The energy of the optimized structure.\n               - status (bool): Whether the optimization was successful.\n\n    Raises:\n        ValueError: If an unsupported calculator is specified.\n    \"\"\"\n\n    if calc == 'GULP':\n        return gulp_opt_single(id, xtal, *args)\n    elif calc == 'DFTB':\n        return dftb_opt_single(id, xtal, *args)\n    elif calc == 'VASP':\n        return vasp_opt_single(id, xtal, *args)\n    elif calc == 'MACE':\n        return mace_opt_single(id, xtal, *args)\n    else:\n        raise ValueError(\"Cannot support this calcultor\", calc)\n\n\ndef dftb_opt_single(id, xtal, skf_dir, steps, symmetrize, criteria, kresol=0.05):\n    \"\"\"\n    Single DFTB optimization for a given atomic xtal\n\n    Args:\n        id (int): id of the give xtal\n        xtal: pyxtal instance\n        skf_dir (str): path of skf files\n        steps (int): number of relaxation steps\n        criteria (dicts): to check if the structure\n    \"\"\"\n    from pyxtal.interface.dftb import DFTB, DFTB_relax\n\n    cwd = os.getcwd()\n    atoms = xtal.to_ase(resort=False)\n    eng = None\n    stress = None\n    try:\n        if symmetrize:\n            s = DFTB_relax(\n                atoms,\n                skf_dir,\n                True,\n                int(steps / 2),\n                kresol=kresol,\n                folder=\".\",\n                scc_error=1e-5,\n                scc_iter=100,\n                logfile=\"ase.log\",\n            )\n            stress = np.sum(s.get_stress()[:3]) / 0.006241509125883258 / 3\n        else:\n            my = DFTB(\n                atoms,\n                skf_dir,\n                kresol=kresol * 1.5,\n                folder=\".\",\n                scc_error=0.1,\n                scc_iter=100,\n            )\n            s, eng = my.run(mode=\"vc-relax\", step=int(steps / 2))\n            my = DFTB(s, skf_dir, kresol=kresol, folder=\".\",\n                      scc_error=1e-4, scc_iter=100)\n            s, eng = my.run(mode=\"vc-relax\", step=int(steps / 2))\n            s = my.struc\n    except CalculationFailed:\n        # This is due to covergence error in geometry optimization\n        # Here we simply read the last energy\n        my.calc.read_results()\n        eng = my.calc.results[\"energy\"]\n        s = my.struc\n    except:\n        s = None\n        print(\"Problem in DFTB Geometry optimization\", id)\n        xtal.to_file(\"bug.cif\")  # ; import sys; sys.exit()\n    os.chdir(cwd)\n\n    status = False\n    if s is not None:\n        c = pyxtal()\n        c.from_seed(s)\n        if eng is None:\n            eng = s.get_potential_energy() / len(s)\n        else:\n            eng /= len(s)\n\n        status = process_xtal(id, xtal, eng, criteria)\n        print(xtal.get_xtal_string())\n\n        return xtal, eng, status\n    else:\n        return None, None, False\n\n\ndef vasp_opt_single(id, xtal, path, cmd, criteria):\n    \"\"\"\n    Single VASP optimization for a given atomic xtal\n\n    Args:\n        id (int): id of the give xtal\n        xtal: pyxtal instance\n        path: calculation folder\n        cmd: vasp command\n        criteria (dicts): to check if the structure\n    \"\"\"\n    from pyxtal.interface.vasp import optimize as vasp_opt\n    cwd = os.getcwd()\n    path += '/g' + str(id)\n    status = False\n\n    xtal, eng, _, error = vasp_opt(xtal,\n                                   path,\n                                   cmd=cmd,\n                                   walltime=\"59m\")\n    if not error:\n        status = process_xtal(id, xtal, eng, criteria)\n    else:\n        os.chdir(cwd)\n    return xtal, eng, status\n\n\ndef gulp_opt_single(id, xtal, ff_lib, path, criteria):\n    \"\"\"\n    Perform a single GULP optimization for a given crystal structure.\n\n    Args:\n        id (int): Identifier for the current structure.\n        xtal: PyXtal instance representing the crystal to be optimized.\n        ff_lib (str): Force field library for GULP, e.g., 'reaxff', 'tersoff'.\n        path (str): Path to the folder where the calculation is stored.\n        criteria (dict): Dictionary to check the validity of the opt_structure.\n\n    Returns:\n        tuple:\n            - xtal: Optimized PyXtal instance.\n            - eng (float): Energy of the optimized structure.\n            - status (bool): Whether the optimization process is successful.\n\n    Behavior:\n        This function performs a GULP optimization using the force field.\n        After the optimization, it checks the validity of the structure and\n        attempts to remove the calculation folder if it is empty.\n    \"\"\"\n    from pyxtal.interface.gulp import single_optimize as gulp_opt\n\n    # Create the path for this specific structure\n    path += '/g' + str(id)\n\n    # Perform the optimization with GULP\n    xtal, eng, _, error = gulp_opt(\n        xtal,\n        ff=ff_lib,\n        label=str(id),\n        path=path,\n        symmetry=True,\n    )\n\n    # Default status to False, will be updated if successful\n    status = False\n    if not error:\n        status = process_xtal(id, xtal, eng, criteria)\n        try:\n            os.rmdir(path)\n        except:\n            print(\"Folder is not empty\", path)\n    return xtal, eng, status\n\n\ndef mace_opt_single(id, xtal, step, fmax, criteria):\n    \"\"\"\n    Perform a single MACE optimization for a given atomic crystal structure.\n\n    Args:\n        id (int): Identifier for the current structure.\n        xtal: PyXtal instance representing the crystal structure.\n        step (int): Maximum number of relaxation steps. Default is 250.\n        fmax (float): fmax for relaxation\n        criteria (dict): Dictionary to check the validity of the optimized structure.\n\n    Returns:\n        tuple:\n            - xtal: Optimized PyXtal instance (or None if optimization failed).\n            - eng (float): Energy/atom of the opt_structure (or None if it failed).\n            - status (bool): Whether the optimization was successful.\n    \"\"\"\n    from pyxtal.interface.ase_opt import ASE_relax as mace_opt\n\n    logger = logging.getLogger()\n    atoms = xtal.to_ase(resort=False)\n    s = mace_opt(atoms,\n                 'MACE',\n                 opt_cell=True,\n                 step=step,\n                 fmax=fmax,\n                 max_time=9.0 * max([1, (len(atoms)/200)]),\n                 label=str(id))\n    if s is None:\n        logger.info(f\"mace_opt_single Failure {id}\")\n        return None, None, False\n\n    try:\n        xtal = pyxtal()\n        xtal.from_seed(s)\n        eng = s.get_potential_energy() / len(s)\n        status = process_xtal(id, xtal, eng, criteria)\n        logger.info(f\"mace_opt_single Success {id}\")\n        return xtal, eng, status\n    except:\n        logger.info(f\"mace_opt_single Bug {id}\")\n        return None, None, False\n\n\ndef process_xtal(id, xtal, eng, criteria):\n    status = xtal.check_validity(\n        criteria) if criteria is not None else True\n    if status:\n        header = f\"{id:4d}\"\n        dicts = {\"validity\": status, \"energy\": eng}\n        print(xtal.get_xtal_string(header=header, dicts=dicts))\n    return status\n\n\ndef make_entry_from_pyxtal(xtal):\n    \"\"\"\n    Generate an entry dictionary from a PyXtal object, assuming\n    the SMILES and CCDC number information is provided.\n\n    Args:\n        xtal: PyXtal object (must contain the SMILES (`xtal.tag[\"smiles\"]`)\n        and CCDC number (`xtal.tag[\"ccdc_number\"]`) in the `xtal.tag`.\n\n    Returns:\n        tuple: (ase_atoms, entry_dict, None)\n            - ase_atoms: ASE Atoms object converted from the PyXtal structure.\n            - entry_dict (dict): A dictionary containing information\n            - None: Placeholder for future use (currently returns None).\n\n    Structure of `entry_dict`:\n        - \"csd_code\" (str): CSD code (if available) for the crystal structure.\n        - \"mol_smi\" (str): SMILES representation of the molecule.\n        - \"ccdc_number\" (str): CCDC identifier number.\n        - \"space_group\" (str): Space group symbol of the crystal.\n        - \"spg_num\" (int): Space group number.\n        - \"Z\" (int): Number of molecules in the unit cell.\n        - \"Zprime\" (float): Z' value of the crystal.\n        - \"url\" (str): URL link to the CCDC database entry for the crystal.\n        - \"mol_formula\" (str): Molecular formula of the structure.\n        - \"mol_weight\" (float): Molecular weight of the structure.\n        - \"mol_name\" (str): Name of the molecule, typically the CSD code.\n        - \"l_type\" (str): Lattice type of the structure.\n\n    Returns None if the PyXtal structure is invalid (i.e., `xtal.valid` is False).\n\n    Example:\n        entry = make_entry_from_pyxtal(xtal_instance)\n        ase_atoms, entry_dict, _ = entry\n\n    Notes:\n        - The CCDC link is generated using the structure's CCDC number.\n    \"\"\"\n\n    from rdkit import Chem\n    from rdkit.Chem.Descriptors import ExactMolWt\n    from rdkit.Chem.rdMolDescriptors import CalcMolFormula\n\n    if xtal.valid:\n        url0 = \"https://www.ccdc.cam.ac.uk/structures/Search?Ccdcid=\"\n        # Create RDKit molecule from SMILES string\n        m = Chem.MolFromSmiles(xtal.tag[\"smiles\"])\n\n        # Calculate molecular weight and molecular formula using RDKit\n        mol_wt = ExactMolWt(m)\n        mol_formula = CalcMolFormula(m)\n\n        # Create a dictionary containing information\n        kvp = {\n            \"csd_code\": xtal.tag[\"csd_code\"],\n            \"mol_smi\": xtal.tag[\"smiles\"],\n            \"ccdc_number\": xtal.tag[\"ccdc_number\"],\n            \"space_group\": xtal.group.symbol,\n            \"spg_num\": xtal.group.number,\n            \"Z\": sum(xtal.numMols),\n            \"Zprime\": xtal.get_zprime()[0],\n            \"url\": url0 + str(xtal.tag[\"ccdc_number\"]),\n            \"mol_formula\": mol_formula,\n            \"mol_weight\": mol_wt,\n            \"mol_name\": xtal.tag[\"csd_code\"],\n            \"l_type\": xtal.lattice.ltype,\n        }\n        # Return the ASE Atoms the entry dictionary, and None as a placeholder\n        return (xtal.to_ase(), kvp, None)\n    else:\n        return None\n\n\ndef make_entry_from_CSD_web(code, number, smiles, name=None):\n    \"\"\"\n    make enetry dictionary from csd web https://www.ccdc.cam.ac.uk/structures\n\n    Args:\n        code: CSD style letter entry\n        number: ccdc number\n        smiles: the corresponding molecular smiles\n        name: name of the compound\n    \"\"\"\n\n    # xtal = pyxtal(molecular=True)\n    #\n    # return make_entry_from_pyxtal(xtal)\n    raise NotImplementedError(\"To do in future\")\n\n\ndef make_entry_from_CSD(code):\n    \"\"\"\n    make entry dictionary from CSD codes\n\n    Args:\n        code: a list of CSD codes\n    \"\"\"\n    from pyxtal.msg import CSDError\n\n    xtal = pyxtal(molecular=True)\n    try:\n        xtal.from_CSD(code)\n        return make_entry_from_pyxtal(xtal)\n\n    except CSDError as e:\n        print(\"CSDError\", code, e.message)\n        return None\n\n\ndef make_db_from_CSD(dbname, codes):\n    \"\"\"\n    make database from CSD codes\n\n    Args:\n        dbname: db file name\n        codes: a list of CSD codes\n    \"\"\"\n    # open\n    db = database(dbname)\n\n    # add structure\n    for i, code in enumerate(codes):\n        entry = make_entry_from_CSD(code)\n        if entry is not None:\n            db.add(entry)\n            print(i, code)\n    return db\n\n\nclass database:\n    \"\"\"\n    This is a database class to process crystal data.\n\n    Args:\n        db_name: `*.db` format from ase database\n    \"\"\"\n\n    def __init__(self, db_name):\n        self.db_name = db_name\n        # if not os.path.exists(db_name):\n        #    raise ValueError(db_name, 'doesnot exist')\n\n        self.db = connect(db_name, serial=True)\n        self.codes = self.get_all_codes()\n        self.keys = [\n            \"csd_code\",\n            \"space_group\",\n            \"spg_num\",\n            \"Z\",\n            \"Zprime\",\n            \"url\",\n            \"mol_name\",\n            \"mol_smi\",\n            \"mol_formula\",\n            \"mol_weight\",\n            \"l_type\",\n        ]\n        self.calculators = [\n            \"charmm\",\n            \"gulp\",\n            \"ani\",\n            \"dftb_D3\",\n            \"dftb_TS\",\n        ]\n\n    def vacuum(self):\n        self.db.vacuum()\n\n    def get_all_codes(self, group=None):\n        \"\"\"\n        Get all codes\n        \"\"\"\n        codes = []\n        for row in self.db.select():\n            if row.csd_code not in codes:\n                if group is None:\n                    codes.append(row.csd_code)\n                else:\n                    if row.group == group:\n                        codes.append(row.csd_code)\n            else:\n                print(\"find duplicate! remove\", row.id, row.csd_code)\n                self.db.delete([row.id])\n        return codes\n        # self.codes = codes\n\n    def add(self, entry):\n        (atom, kvp, data) = entry\n        if kvp[\"csd_code\"] not in self.codes:\n            kvp0 = self.process_kvp(kvp)\n            self.db.write(atom, key_value_pairs=kvp0, data=data)\n            self.codes.append(kvp[\"csd_code\"])\n\n    def add_from_code(self, code):\n        entry = make_entry_from_CSD(code)\n        if entry is not None:\n            self.add(entry)\n        else:\n            print(f\"{code:s} is not a valid entry\")\n\n    def process_kvp(self, kvp):\n        kvp0 = {}\n        for key in self.keys:\n            if key in kvp:\n                kvp0[key] = kvp[key]\n            else:\n                print(\"Error, cannot find \", key, \" from the input\")\n                return None\n        return kvp0\n\n    def check_status(self, show=False):\n        \"\"\"\n        Check the current status of each entry\n        \"\"\"\n        ids = []\n        for row in self.db.select():\n            if len(row.data.keys()) == len(self.calculators):\n                ids.append(row.id)\n                if show:\n                    row_info = self.get_row_info(id=row.id)\n                    self.view(row_info)\n            else:\n                print(row.csd_code)  # , row.data['charmm_info']['prm'])\n        return ids\n\n    def copy(self, db_name, csd_codes):\n        \"\"\"\n        copy the entries to another db\n\n        Args:\n            db_name: db file name\n            csd_codes: list of codes\n        \"\"\"\n        if db_name == self.db_name:\n            raise RuntimeError(\"Cannot use the same db file for copy\")\n        with connect(db_name, serial=True) as db:\n            for csd_code in csd_codes:\n                row_info = self.get_row_info(code=csd_code)\n                (atom, kvp, data) = row_info\n                db.write(atom, key_value_pairs=kvp, data=data)\n\n    def view(self, row_info):\n        \"\"\"\n        print the summary of benchmark results\n\n        Args:\n            row: row object\n        \"\"\"\n        from pyxtal.representation import representation\n\n        (atom, kvp, data) = row_info\n\n        # Reference\n        xtal = self.get_pyxtal(kvp[\"csd_code\"])\n        rep = xtal.get_1D_representation()\n        print(\"\\n\", kvp[\"csd_code\"], kvp[\"mol_smi\"], xtal.lattice.volume)\n        print(rep.to_string() + \" reference\")\n\n        # calcs\n        for key in data:\n            calc = key[:-5]\n            time = data[key][\"time\"]\n\n            rep = data[key][\"rep\"]\n            if type(rep[0]) is not list:\n                rep = [rep]\n            rep = representation(rep, kvp[\"mol_smi\"]).to_string()\n\n            (dv, msd1, msd2) = data[key][\"diff\"]\n            strs = f\"{rep:s} {calc:8s} {time / 60:6.2f} {dv:6.3f}\"\n            if msd1 is not None:\n                strs += f\"{msd1:6.3f}{msd2:6.3f}\"\n            print(strs)\n\n    def get_row_info(self, id=None, code=None):\n        match = False\n        if id is not None:\n            for row in self.db.select(id=id):\n                match = True\n                break\n        elif code is not None:\n            for row in self.db.select(csd_code=code):\n                match = True\n                break\n        if match:\n            kvp = {}\n            for key in self.keys:\n                kvp[key] = row.key_value_pairs[key]\n\n            data0 = {}\n            for calc in self.calculators:\n                key = calc + \"_info\"\n                if key in row.data:\n                    data0[key] = row.data[key]\n\n            atom = self.db.get_atoms(id=row.id)\n            return (atom, kvp, data0)\n        else:\n            msg = \"cannot find the entry from \" + id + code\n            raise RuntimeError(msg)\n\n    def get_row(self, code):\n        for row in self.db.select(csd_code=code):\n            return row\n        msg = \"cannot find the entry from \" + code\n        raise RuntimeError(msg)\n\n    def get_pyxtal(self, code):\n        from pyxtal import pyxtal\n        from pyxtal.msg import ReadSeedError\n        from pyxtal.util import ase2pymatgen\n\n        row = self.get_row(code)\n        atom = self.db.get_atoms(id=row.id)\n        # Reference\n        pmg = ase2pymatgen(atom)\n        smi = row.mol_smi\n        smiles = smi.split(\".\")\n        molecules = [smile + \".smi\" for smile in smiles]\n\n        xtal = pyxtal(molecular=True)\n        try:\n            xtal.from_seed(pmg, molecules=molecules)\n        except ReadSeedError:\n            xtal.from_seed(pmg, molecules=molecules, add_H=True)\n\n        return xtal\n\n    def compute(self, row, work_dir, skf_dir):\n        if len(row.data.keys()) < len(self.calculators):\n            # not label information, run antechamber\n            atom = self.db.get_atoms(id=row.id)\n            if \"gulp_info\" not in row.data:\n                # pmg, c_info, g_info = get_parameters(row, atom)\n                # row.data = {\"charmm_info\": c_info, \"gulp_info\": g_info}\n                pass\n            else:\n                pmg = ase2pymatgen(atom)\n\n            #data = compute(row, pmg, work_dir, skf_dir)\n            #self.db.update(row.id, data=data)\n            #print(\"updated the data for\", row.csd_code)\n\n\nclass database_topology:\n    \"\"\"\n    This is a database class to process atomic crystal data\n\n    Args:\n        db_name (str): `*.db` format from ase database\n        rank (int): default 0\n        size (int): default 1\n        ltol (float): lattice tolerance\n        stol (float): site tolerance\n        atol (float): angle tolerance\n        log_file (str): log_file\n    \"\"\"\n\n    def __init__(self, db_name, rank=0, size=1, ltol=0.05, stol=0.05, atol=3,\n                 log_file='db.log'):\n        self.rank = rank\n        self.size = size\n        self.db_name = db_name\n        self.db = connect(db_name, serial=True)\n        self.keys = [\n            \"space_group_number\",\n            \"pearson_symbol\",\n            \"similarity0\",\n            \"similarity\",\n            \"density\",\n            \"dof\",\n            \"topology\",\n            \"topology_detail\",\n            \"dimension\",\n            \"wps\",\n            \"ff_energy\",\n            \"ff_lib\",\n            \"ff_relaxed\",\n            \"mace_energy\",\n            \"mace_relaxed\",\n            \"dftb_energy\",\n            \"dftb_relaxed\",\n            \"vasp_energy\",\n            \"vasp_relaxed\",\n        ]\n        self.matcher = sm.StructureMatcher(\n            ltol=ltol, stol=stol, angle_tol=atol)\n\n        # Define logfile\n        self.log_file = log_file\n        logging.getLogger().handlers.clear()\n        logging.basicConfig(format=\"%(asctime)s| %(message)s\",\n                            filename=self.log_file,\n                            level=logging.INFO)\n        self.logging = logging\n\n    def vacuum(self):\n        self.db.vacuum()\n\n    def print_memory_usage(self):\n        import psutil\n        process = psutil.Process(os.getpid())\n        mem = process.memory_info().rss / 1024 ** 2\n        self.logging.info(f\"Rank {self.rank} memory: {mem:.1f} MB\")\n        print(f\"Rank {self.rank} memory: {mem:.1f} MB\")\n\n    def get_pyxtal(self, id, use_relaxed=None, tol=1e-4):\n        \"\"\"\n        Get pyxtal based on row_id, if use_relaxed, get pyxtal from ff_relaxed\n\n        Args:\n            id (int): row id\n            use_relaxed (str): 'ff_relaxed', 'vasp_relaxed'\n        \"\"\"\n        from pymatgen.core import Structure\n        from pyxtal import pyxtal\n        from pyxtal.util import ase2pymatgen\n        from pyxtal.symmetry import Group\n\n        row = self.db.get(id)\n        #print(row.space_group_number, row.topology, row.pearson_symbol, row.wps, row.mace_energy)\n        if use_relaxed is not None:\n            if hasattr(row, use_relaxed):\n                xtal_str = getattr(row, use_relaxed)\n                pmg = Structure.from_str(xtal_str, fmt=\"cif\")\n            else:\n                print(f\"No {use_relaxed} attributes for structure\", id)\n                atom = self.db.get_atoms(id=id)\n                pmg = ase2pymatgen(atom)\n        else:\n            #hn = Group(row.space_group_number).hall_number\n            xtal1 = pyxtal()\n            #xtal1.from_seed('1.cif', tol=tol)#, hn=hn)\n            atom = self.db.get_atoms(id=id)\n            #print(row.topology)\n            #atom.write('1.cif', format='cif')#, direct=True, vasp5=True)\n            xtal1.from_seed(atom, tol=tol)#, hn=hn)\n            pmg = ase2pymatgen(atom)\n\n        xtal = pyxtal()\n        try:\n            xtal.from_seed(pmg, tol=tol)\n            #if xtal.group.number != row.space_group_number: print(xtal); import sys; sys.exit()\n            if xtal is not None and xtal.valid:\n                for key in self.keys:\n                    if hasattr(row, key):\n                        setattr(xtal, key, getattr(row, key))\n            return xtal\n        except:\n            print(xtal_str)\n            #import sys; sys.exit()\n            print(\"Cannot load the structure\")\n\n    def get_all_xtals(self, include_energy=False):\n        \"\"\"\n        Get all pyxtal instances from the current db\n        \"\"\"\n        xtals = []\n        for row in self.db.select():\n            xtal = self.get_pyxtal(id=row.id)\n            if xtal is not None:\n                if include_energy and hasattr(row, 'vasp_energy'):\n                    xtal.energy = row.vasp_energy\n                xtals.append(xtal)\n        return xtals\n\n    def add_xtal(self, xtal, kvp={}):\n        \"\"\"\n        Add new xtal to the given db\n        \"\"\"\n        spg_num = xtal.group.number\n        density = xtal.get_density()\n        dof = xtal.get_dof()\n        wps = [s.wp.get_label() for s in xtal.atom_sites]\n        _kvp = {\n            \"space_group_number\": spg_num,\n            \"pearson_symbol\": xtal.get_Pearson_Symbol(),\n            \"wps\": str(wps),\n            \"density\": density,\n            \"dof\": dof,\n        }\n        kvp.update(_kvp)\n        atoms = xtal.to_ase(resort=False)\n        self.db.write(atoms, key_value_pairs=kvp)\n\n    def add_strucs_from_db(self, db_file, check=False,\n                           id_min=0, id_max=None, tol=1e-3,\n                           freq=50, use_relaxed=None, sort=None,\n                           max_count=None, criteria=None,\n                           min_atoms=0, max_atoms=250,\n                           ignore_check='vasp_energy',\n                           same_number=False):\n        \"\"\"\n        Add new structures from another database file.\n\n        Args:\n            db_file (str): Path to the source database file\n            check (bool): Whether to check if structure already exists before adding\n            id_min (int): Starting ID to import from source database. Default is 0\n            id_max (int): Ending ID to import from source database. Default is None\n            tol (float): Tolerance in Angstroms for symmetry detection. Default is 1e-3\n            freq (int): Print progress message every N structures. Default is 50\n            use_relaxed (str): Relaxed structure to use - 'ff_relaxed', 'vasp_relaxed'\n                     Default is None to use unrelaxed structures\n            sort (str): key to sort the structure, e.g. 'mace_energy'\n                     Default is None to use row.id\n            max_count (int): Number of maximum structure to add\n                     Default is None to all all structures\n            criteria (dict): criteria to check if a valid.\n        \"\"\"\n        cifname = 'my_add.cif'\n        print(f\"\\nAdding new strucs from {db_file:s}\")\n\n        count = 0\n        with connect(db_file, serial=True) as db:\n            if id_max is None:\n                id_max = db.count()\n            for row in db.select(sort=sort):\n                if id_min <= row.id <= id_max:\n                    xtal = pyxtal()\n                    if use_relaxed is None:\n                        atoms = row.toatoms()\n                        try:\n                            xtal.from_seed(atoms, tol=tol)\n                        except:\n                            xtal = None\n                            content = (row.mace_energy, row.pearson_symbol, row.wps)\n                            print(\"Faild to load xtal\", content)\n                    else:\n                        with open(cifname, 'w') as f:\n                            f.write(getattr(row, use_relaxed))\n                        try:\n                            xtal.from_seed(cifname, tol=tol)\n                        except:\n                            xtal = None\n                            print(\"Faild to load xtal\", row.mace_energy, row.pearson_symbol, row.wps)\n\n                    if xtal is not None and xtal.valid:\n                        if criteria is not None and not xtal.check_validity(criteria):\n                            print(\"hit a invalid structure\", row.id, xtal.get_xtal_string())\n                            print(xtal)\n                            continue\n                        #print(xtal)\n                        mace_eng = None if not hasattr(row, 'mace_energy') else row.mace_energy\n                        atoms = xtal.to_ase()\n                        add = True\n                        if check:\n                            if not hasattr(row, ignore_check):\n                                add = self.check_new_structure(xtal, mace_eng,\n                                                        max_atoms=max_atoms,\n                                                        min_atoms=min_atoms,\n                                                        same_number=same_number)\n\n                        if add:\n                            kvp = {}\n                            for key in self.keys:\n                                if key == \"space_group_number\":\n                                    kvp[key] = xtal.group.number\n                                elif key == \"density\":\n                                    kvp[key] = xtal.get_density()\n                                elif key == \"dof\":\n                                    kvp[key] = xtal.get_dof()\n                                elif key == \"wps\":\n                                    kvp[key] = str([s.wp.get_label()\n                                                   for s in xtal.atom_sites])\n                                elif key == \"pearson_symbol\":\n                                    kvp[key] = xtal.get_Pearson_Symbol()\n                                elif hasattr(row, key):\n                                    kvp[key] = getattr(row, key)\n\n                            self.db.write(atoms, key_value_pairs=kvp)\n                            count += 1\n\n                            if count % freq == 0:\n                                print(f\"Adding {count:4d} strucs from {db_file:s}\")\n\n                            if max_count is not None and count == max_count:\n                                break\n                    else:\n                        print(\"Fail to convert xtal\")\n\n    def check_new_structure(self, xtal, eng=None, same_group=False,\n                            same_number=False, d_tol=2e-1, e_tol=1e-2,\n                            max_atoms=250, min_atoms=0, return_id=False):\n        \"\"\"\n        Check if the input crystal structure already exists in the database.\n\n        Args:\n            xtal: PyXtal object representing the crystal structure to check\n            eng (float, optional): Energy of the structure to compare\n            same_group (bool): Whether to only compare structures with same space group\n            d_tol (float): Tolerance for density comparison\n            e_tol (float): Tolerance for energy comparison\n            max_atoms (int): maximum number of atoms for checking\n            min_atoms (int): minimum number of atoms for checking\n\n        Returns:\n            bool: True if structure is new/unique, False if it matches an existing structure\n\n        Note:\n            Compares structures based on:\n            - Space group number (if same_group=True)\n            - Density (within d_tol)\n            - Energy (within e_tol if provided)\n            - Structure similarity via pymatgen.analysis.structure_matcher\n        \"\"\"\n        if sum(xtal.numIons) > max_atoms or sum(xtal.numIons) < min_atoms:\n            return True\n\n        s_pmg = xtal.to_pymatgen()\n        for row in self.db.select(sort='-id'): # Sort by id in descending order\n            if row.natoms > max_atoms or row.natoms < min_atoms:\n                continue\n            if same_number and row.natoms != len(s_pmg):\n                continue\n            if eng is not None and abs(eng - row.mace_energy) > e_tol:\n                continue\n            if same_group and row.space_group_number != xtal.group.number:\n                continue\n            if abs(row.density - xtal.get_density()) > d_tol:\n                continue\n            ref = self.db.get_atoms(id=row.id)\n            ref_pmg = ase2pymatgen(ref)\n            if self.matcher.fit(s_pmg, ref_pmg, symmetric=True):\n                print(\"skip the duplicate\", xtal.get_xtal_string())\n                #print(row.id, row.space_group_number, row.wps, row.mace_energy, row.density)\n                if return_id:\n                    return False, row.id\n                else:\n                    return False\n        if return_id:\n            return True, None\n        else:\n            return True\n\n    def clean_structures_spg_topology(self, dim=None):\n        \"\"\"\n        Clean up the db by removing duplicate structures based on their properties.\n\n        Args:\n            dim (int, optional): Filter structures by dimension. Only keep structures with this\n                       dimension if specified. Defaults to None.\n\n        The function removes structures that have identical:\n        - Number of atoms\n        - Space group\n        - Topology\n        - Wyckoff positions (wps)\n\n        \"\"\"\n\n        unique_rows = []\n        to_delete = []\n\n        for row in self.db.select():\n            unique = True\n            # Ignore unwanted dimension\n            if dim is not None and hasattr(row, \"dimension\") and row.dimension != dim:\n                # print(row.dimension, dim)\n                unique = False\n            else:\n                for prop in unique_rows:\n                    (natoms, spg, wps, topology) = prop\n                    if (natoms == row.natoms and spg == row.space_group_number and wps == row.wps) and hasattr(\n                        row, \"topology\"\n                    ):\n                        if row.topology == \"aaa\":\n                            if row.topology_detail == topology:\n                                unique = False\n                                break\n                        elif row.topology == topology:\n                            unique = False\n                            break\n            if unique:\n                if hasattr(row, \"topology\"):\n                    unique_rows.append(\n                        (\n                            row.natoms,\n                            row.space_group_number,\n                            row.wps,\n                            row.topology if row.topology != \"aaa\" else row.topology_detail,\n                        )\n                    )\n                else:\n                    unique_rows.append(\n                        (row.natoms, row.space_group_number, row.wps, None))\n            else:\n                to_delete.append(row.id)\n        if len(to_delete) > 0:\n            print(len(to_delete), \"structures were deleted\", to_delete)\n        self.db.delete(to_delete)\n\n    def get_row(self, id):\n        for row in self.db.select(id=id):\n            return row\n        raise RuntimeError(msg)\n\n    def clean_structures(self, ids=(None, None), dtol=2e-3, etol=1e-3, criteria=None, eng_key='mace_energy'):\n        \"\"\"\n        Clean up the db by removing the duplicate structures\n        Here we check the follow criteria\n            - same number of atoms\n            - same density\n            - same energy\n\n        Args:\n            dtol (float): tolerance of density\n            etol (float): tolerance of energy\n            criteria (dict): including\n        \"\"\"\n\n        unique_rows = []\n        to_delete = []\n        ids, xtals = self.select_xtals(ids)\n        for id, xtal in zip(ids, xtals):\n            row = self.db.get(id)\n            xtal = self.get_pyxtal(id)\n            unique = True\n            if criteria is not None:\n                if not xtal.check_validity(criteria, True):\n                    unique = False\n                    print(\n                        \"Found unsatisfied criteria\",\n                        row.id,\n                        row.space_group_number,\n                        row.wps,\n                    )\n\n                if unique and (\n                    \"MAX_energy\" in criteria and hasattr(\n                        row, eng_key) and getattr(row, key) > criteria[\"MAX_energy\"]\n                ):\n                    unique = False\n                    print(\n                        \"Unsatisfied energy\",\n                        row.id,\n                        getattr(row, eng_key),\n                        row.space_group_number,\n                        row.wps,\n                    )\n                if unique and (\n                    \"MAX_similarity\" in criteria\n                    and hasattr(row, \"similarity\")\n                    and row.similarity > criteria[\"MAX_similarity\"]\n                ):\n                    unique = False\n                    print(\n                        \"Unsatisfied similarity\",\n                        row.id,\n                        row.similarity,\n                        row.space_group_number,\n                        row.wps,\n                    )\n                if unique and (\n                    \"BAD_topology\" in criteria\n                    and hasattr(row, \"topology\")\n                    and row.topology[:3] in criteria[\"BAD_topology\"]\n                ):\n                    unique = False\n                    print(\n                        \"Unsatisfied topology\",\n                        row.id,\n                        row.topology,\n                        row.space_group_number,\n                        row.wps,\n                    )\n                if unique and (\n                    \"BAD_dimension\" in criteria\n                    and hasattr(row, \"dimension\")\n                    and row.dimension in criteria[\"BAD_dimension\"]\n                ):\n                    unique = False\n                    print(\n                        \"Unsatisfied dimension\",\n                        row.id,\n                        row.topology,\n                        row.space_group_number,\n                        row.wps,\n                    )\n\n            if unique:\n                for prop in unique_rows:\n                    (natoms, spg, wps, den, energy) = prop\n                    if natoms == row.natoms and spg == row.space_group_number and wps == row.wps:\n                        if hasattr(row, eng_key) and energy is not None:\n                            if abs(getattr(row, eng_key) - energy) < etol:\n                                unique = False\n                                break\n                        elif abs(den - row.density) < dtol:\n                            unique = False\n                            break\n\n            if unique:\n                if hasattr(row, eng_key):\n                    unique_rows.append(\n                        (\n                            row.natoms,\n                            row.space_group_number,\n                            row.wps,\n                            row.density,\n                            row.ff_energy,\n                        )\n                    )\n                else:\n                    unique_rows.append(\n                        (row.natoms, row.space_group_number, row.wps, row.density, None))\n            else:\n                to_delete.append(row.id)\n        print(len(to_delete), \"structures were deleted\", to_delete)\n        self.db.delete(to_delete)\n\n    def clean_structures_pmg(self, ids=(None, None), min_id=None, dtol=5e-2, criteria=None):\n        \"\"\"\n        Clean up the database by removing duplicate structures based on density and pymatgen matcher.\n\n        This method checks for duplicates by comparing structure density within a tolerance and using\n        pymatgen's StructureMatcher. It can also filter structures based on various criteria like\n        coordination numbers, energies, topology, etc.\n\n            ids (tuple, optional): Range of IDs (min, max) to process. Defaults to (None, None).\n            min_id (int, optional): Minimum ID to consider. Structures with lower IDs won't be deleted.\n                Defaults to None.\n            dtol (float, optional): Density tolerance for comparing structures. Defaults to 5e-2.\n            criteria (dict, optional): Dictionary of filtering criteria. Defaults to None.\n                Supported criteria keys:\n                    - 'CN': Dict of required coordination numbers per element\n                    - 'cutoff': Float, cutoff distance for connectivity\n                    - 'MAX_energy': Float, maximum allowed energy\n                    - 'MAX_similarity': Float, maximum allowed similarity value\n                    - 'BAD_topology': List of forbidden topology types\n                    - 'BAD_dimension': List of forbidden dimensionality values\n\n                Example criteria:\n                {\n                    'CN': {'C': 3},\n                    'BAD_dimension': [0, 2]\n                }\n        Returns:\n            None. Modifies database in place by deleting duplicate/invalid structures.\n        \"\"\"\n\n        unique_rows = []\n        to_delete = []\n\n        ids, xtals = self.select_xtals(ids)\n        if min_id is None:\n            min_id = min(ids)\n\n        for id, xtal in zip(ids, xtals):\n            row = self.db.get(id)\n            xtal = self.get_pyxtal(id)\n            unique = True\n\n            if id > min_id and criteria is not None:\n                if not xtal.check_validity(criteria, True):\n                    unique = False\n                    print(\n                        \"Found unsatisfied criteria\",\n                        row.id,\n                        row.space_group_number,\n                        row.wps,\n                    )\n\n                if unique and (\n                    \"MAX_energy\" in criteria and hasattr(\n                        row, \"ff_energy\") and row.ff_energy > criteria[\"MAX_energy\"]\n                ):\n                    unique = False\n                    print(\n                        \"Unsatisfied energy\",\n                        row.id,\n                        row.ff_energy,\n                        row.space_group_number,\n                        row.wps,\n                    )\n                if unique and (\n                    \"MAX_similarity\" in criteria\n                    and hasattr(row, \"similarity\")\n                    and row.similarity > criteria[\"MAX_similarity\"]\n                ):\n                    unique = False\n                    print(\n                        \"Unsatisfied similarity\",\n                        row.id,\n                        row.similarity,\n                        row.space_group_number,\n                        row.wps,\n                    )\n                if unique and (\n                    \"BAD_topology\" in criteria\n                    and hasattr(row, \"topology\")\n                    and row.topology[:3] in criteria[\"BAD_topology\"]\n                ):\n                    unique = False\n                    print(\n                        \"Unsatisfied topology\",\n                        row.id,\n                        row.topology,\n                        row.space_group_number,\n                        row.wps,\n                    )\n                if unique and (\n                    \"BAD_dimension\" in criteria\n                    and hasattr(row, \"dimension\")\n                    and row.dimension in criteria[\"BAD_dimension\"]\n                ):\n                    unique = False\n                    print(\n                        \"Unsatisfied dimension\",\n                        row.id,\n                        row.topology,\n                        row.space_group_number,\n                        row.wps,\n                    )\n\n            if unique and id > min_id:\n                for prop in unique_rows:\n                    (rowid, den) = prop\n                    if abs(den - row.density) < dtol:\n                        ref_pmg = xtal.to_pymatgen()\n                        s_pmg = ase2pymatgen(self.db.get_atoms(id=rowid))\n                        # , symmetric=True):\n                        if self.matcher.fit(s_pmg, ref_pmg):\n                            print(\n                                \"Found duplicate\",\n                                row.id,\n                                row.space_group_number,\n                                row.wps,\n                            )\n                            unique = False\n                            break\n            if unique:\n                unique_rows.append((row.id, row.density))\n            else:\n                to_delete.append(row.id)\n        print(len(to_delete), \"structures were deleted\", to_delete)\n        self.db.delete(to_delete)\n\n    def get_max_id(self):\n        \"\"\"\n        Get the maximum row id\n        \"\"\"\n        max_id = None\n        for row in self.db.select():\n            if max_id is None or row.id > max_id:\n                max_id = row.id + 1\n        return max_id\n\n    def select_xtals(self, ids, N_atoms=(None, None), overwrite=False, attribute=None, use_relaxed=None):\n        \"\"\"\n        Extract xtals based on attribute name.\n\n        Args:\n            ids (tuple): Minimum and maximum row IDs to extract, e.g. (1, 10)\n            N_atoms (tuple): Minimum and maximum number of atoms to extract, e.g. (2, 100)\n            overwrite (bool): Whether to overwrite existing entries\n            attribute (str): Attribute name to check for extraction\n            use_relaxed (str): Type of relaxed structure to use ('ff_relaxed' or 'vasp_relaxed')\n\n        Returns:\n            tuple: (ids, xtals) where ids is a list of row IDs and xtals is a list of\n              corresponding pyxtal objects\n        \"\"\"\n        (min_id, max_id) = ids\n        if min_id is None: min_id = 1\n        if max_id is None: max_id = self.get_max_id()\n\n        (min_atoms, max_atoms) = N_atoms\n        if min_atoms is None: min_atoms = 1\n        if max_atoms is None: max_atoms = 5000\n\n        ids, xtals = [], []\n        for row in self.db.select():\n            if attribute is None or (overwrite and not hasattr(row, attribute)):\n                if min_id <= row.id <= max_id and min_atoms < row.natoms <= max_atoms:\n                    xtal = self.get_pyxtal(row.id, use_relaxed)\n                    ids.append(row.id)\n                    xtals.append(xtal)\n                    if len(xtals) % 100 == 0:\n                        print(\"Loading xtals from db\", len(xtals))\n        return ids, xtals\n\n    def select_xtal(self, ids, N_atoms=(None, None), overwrite=False, attribute=None, use_relaxed=None):\n        \"\"\"\n        Lazy extraction of selected xtals from the database.\n\n        Args:\n            ids (tuple): Minimum and maximum row IDs to extract, e.g. (1, 10)\n            N_atoms (tuple): Minimum and maximum number of atoms to extract, e.g. (2, 100)\n            overwrite (bool): Whether to overwrite existing entries\n            attribute (str): Attribute name to check for extraction\n            use_relaxed (str): Type of relaxed structure to use ('ff_relaxed' or 'vasp_relaxed')\n\n        Yields:\n            tuple: (id, xtal) where id is the row ID and xtal is the corresponding pyxtal object\n        \"\"\"\n        (min_id, max_id) = ids\n        if min_id is None: min_id = 1\n        if max_id is None: max_id = self.get_max_id()\n\n        (min_atoms, max_atoms) = N_atoms\n        if min_atoms is None: min_atoms = 1\n        if max_atoms is None: max_atoms = 5000\n\n        ids, xtals = [], []\n        for row in self.db.select():\n            if not overwrite and hasattr(row, attribute):\n                continue\n\n            #print(attribute, overwrite, hasattr(row, attribute), getattr(row, attribute))\n            id, natoms = row.id, row.natoms\n            if min_id <= id <= max_id and \\\n                min_atoms < natoms <= max_atoms \\\n                and id % self.size== self.rank:\n\n                xtal = self.get_pyxtal(id, use_relaxed)\n                yield id, xtal\n\n    def update_row_energy(\n        self,\n        calculator='GULP',\n        ids=(None, None),\n        N_atoms=(None, None),\n        ncpu=1,\n        criteria=None,\n        symmetrize=False,\n        overwrite=False,\n        write_freq=100,\n        ff_lib='reaxff',\n        steps=250,\n        fmax=0.1,\n        use_relaxed=None,\n        cmd=None,\n        calc_folder=None,\n        skf_dir=None,\n    ):\n        \"\"\"\n        Update the row energy in the database for a given calculator.\n\n        Args:\n            calculator (str): 'GULP', 'MACE', 'VASP', 'DFTB'\n            ids (tuple): A tuple specifying row IDs to update (e.g., (0, 100)).\n            ncpu (int): number of parallel processes\n            criteria (dict, optional): Criteria when selecting structures.\n            symmetrize (bool): symmetrize the structure before calculation\n            overwrite (bool): overwrite the existing energy attributes.\n            write_freq (int): frequency to update db for ncpu=1\n            ff_lib (str): Force field to use for GULP ('reaxff' by default).\n            steps (int): Number of optimization steps for DFTB (default is 250).\n            fmax (float): force tolerance for mace (defalut is 0.1)\n            use_relaxed (str, optional): Use relaxed structures (e.g. 'ff_relaxed')\n            cmd (str, optional): Command for VASP calculations\n            calc_folder (str, optional): calc_folder for GULP/VASP calculations\n            skf_dir (str, optional): Directory for DFTB potential files\n\n        Functionality:\n            Using the selected calculator, it updates the energy rows of the\n            database. If `ncpu > 1`, run in parallel; otherwise in serial.\n\n        Calculator Options:\n            - 'GULP': Uses a force field (e.g., 'reaxff').\n            - 'MACE': Uses the MACE calculator.\n            - 'DFTB': Uses DFTB+ with symmetrization options.\n            - 'VASP': Uses VASP, with a specified command (`cmd`).\n        \"\"\"\n        label = calculator.lower() + \"_energy\"\n        if calculator == 'GULP':\n            label = 'ff_energy'\n        if calc_folder is None:\n            calc_folder = calculator.lower() + \"_calc\"\n\n        if calculator != 'MACE':\n            #self.logging.info(\"make new folders\", calc_folder, os.getpwd())\n            os.makedirs(calc_folder, exist_ok=True)\n\n        # Generate structures for calculation\n        generator = self.select_xtal(ids, N_atoms, overwrite, label, use_relaxed)\n\n        # Set up arguments for the chosen calculator\n        args_up = []\n        if calculator == 'GULP':\n            args = [calculator, ff_lib, calc_folder, criteria]\n            args_up = [ff_lib]\n        elif calculator == 'MACE':\n            args = [calculator, steps, fmax, criteria]\n        elif calculator == 'DFTB':\n            args = [calculator, skf_dir, steps, symmetrize, criteria]\n        elif calculator == 'VASP':\n            args = [calculator, calc_folder, cmd, criteria]\n        else:\n            raise ValueError(f\"Unsupported calculator: {calculator}\")\n\n        # Perform calculation serially or in parallel\n        self.logging.info(f\"Rank-{self.rank} row_energy {calculator} {self.db_name}\")\n        if ncpu == 1:\n            self.update_row_energy_serial(generator, write_freq, args, args_up)\n        else:\n            self.update_row_energy_mproc(ncpu, generator, args, args_up)\n        self.logging.info(f\"Rank-{self.rank} complete update_row_energy\")\n\n    def update_row_energy_serial(self, generator, write_freq, args, args_up):\n        \"\"\"\n        Perform a serial update of row energies\n\n        Args:\n            generator (generator): Yielding tuples of (id, xtal), where:\n                - `id` (int): Unique identifier for the structure.\n                - `xtal` (object): pyxtal instance.\n            write_freq (int): Frequency to update the database.\n            args (list): Additional arguments to the function `opt_single`.\n            args_up (list): Additional arguments for function `_update_db`.\n\n        Functionality:\n            It iterates over structures provided by `generator`,\n            optimizes them using `opt_single`, and collects results that have\n            converged (`status == True`). Once the number of results\n            reaches `write_freq`, it updates the database.\n        \"\"\"\n        results = []\n        for id, xtal in generator:\n            self.logging.info(f\"Processing {id} {xtal.lattice} {args[0]}\")\n            print(f\"Processing {id} {xtal.lattice} {args[0]}\")\n            res = opt_single(id, xtal, *args)\n            (xtal, eng, status) = res\n            if status:\n                results.append((id, xtal, eng))\n            if len(results) >= write_freq:\n                self._update_db(results, args[0], *args_up)\n                results = []\n                self.print_memory_usage()\n        if len(results) > 0:\n            self._update_db(results, args[0], *args_up)\n\n    def update_row_energy_mproc(self, ncpu, generator, args, args_up):\n        \"\"\"\n        Perform parallel row energy updates by optimizing atomic structures.\n\n        Args:\n            ncpu (int): Number of CPUs to use for parallel processing.\n            generator (generator): yielding tuples of (id, xtal), where:\n                - `id` (int): Unique identifier for the structure.\n                - `xtal` (object): pyxtal instance.\n            args (list): Additional arguments passed to `call_opt_single`.\n                - Typically includes a calculator or potential parameters.\n            args_up (list): Additional arguments for function `_update_db`.\n\n        Functionality:\n            This function distributes the structures across multiple CPUs\n            using `multiprocessing.Pool`. It creates chunks (based on `ncpu`),\n            and process them in parallel by calling `call_opt_single`.\n            Successful results are periodically written to the database.\n            The function also prints memory usage after each database update.\n\n        Parallelization Process:\n            - The `Pool` is initialized with `ncpu` processes.\n            - Structures are divided into chunks with the `chunkify` function.\n            - Each chunk is processed by `call_opt_single` via the pool.\n            - Successful results are periodically written to the database.\n            - The pool is closed and joined after processing is complete.\n        \"\"\"\n        from multiprocessing import Pool\n\n        self.logging.info(f\"Parallel optimizations {ncpu}\")\n        pool = Pool(processes=ncpu,\n                    initializer=setup_worker_logger,\n                    initargs=(self.log_file,))\n\n        def chunkify(generator, chunk_size):\n            chunk = []\n            for item in generator:\n                chunk.append(item)\n                if len(chunk) == chunk_size:\n                    yield chunk\n                    chunk = []\n            if chunk:\n                yield chunk\n\n        for chunk in chunkify(generator, ncpu*10):\n            myargs = []\n            for _id, xtal in chunk:\n                if xtal is not None:\n                    myargs.append(tuple([_id, xtal] + args))\n\n            results = []\n            self.logging.info(f\"Start minicycle: {myargs[0][0]}-{myargs[-1][0]}\")\n            for result in pool.imap_unordered(call_opt_single,\n                                              myargs,\n                                              chunksize=1):\n                if result is not None:\n                    (myid, xtal, eng) = result\n                    if eng is not None:\n                        results.append(result)\n                        numIons = sum(xtal.numIons)\n                        count = len(results)\n                        self.logging.info(f\"Add {myid:4d} {eng:.3f} *{numIons} {count}\")\n\n                # Only do frequent update for slow calculator VASP\n                if len(results) >= ncpu and args[0] == 'VASP':\n                    self._update_db(results, args[0], *args_up)\n                    self.logging.info(f\"Finish minibatch: {len(results)}\")\n                    self.print_memory_usage()\n                    results = []\n\n            self.logging.info(f\"Done  minicycle: {myargs[0][0]}-{myargs[-1][0]}\")\n\n            # After the loop, handle the remaining results\n            if results:\n                self.logging.info(f\"Start  Update db: {len(results)}\")\n                self._update_db(results, args[0], *args_up)\n                self.logging.info(f\"Finish Update db: {len(results)}\")\n\n        pool.close()\n        pool.join()\n\n    def _update_db(self, results, calc, *args):\n        \"\"\"\n        Update db with the calculation_results\n        https://wiki.fysik.dtu.dk/ase/ase/db/db.html#writing-and-updating-many-rows-efficiently\n\n        Args:\n            results: list of (id, xtal, eng) tuples\n            calc (str): calculator\n        \"\"\"\n        #self.logging.info(f\"====================Update db: {len(results)}\")\n        if calc == 'GULP':\n            ff_lib = args[0]\n\n        with self.db:\n            for result in results:\n                (id, xtal, eng) = result\n                if xtal is not None:\n                    if calc == 'GULP':\n                        self.db.update(id,\n                               ff_energy=eng,\n                               ff_lib=ff_lib,\n                               ff_relaxed=xtal.to_file())\n                    elif calc == 'MACE':\n                        self.db.update(id,\n                               mace_energy=eng,\n                               mace_relaxed=xtal.to_file())\n                    elif calc == 'VASP':\n                        self.db.update(id,\n                                vasp_energy=eng,\n                                vasp_relaxed=xtal.to_file())\n                    elif calc == 'DFTB':\n                        self.db.update(id,\n                                dftb_energy=eng,\n                                dftb_relaxed=xtal.to_file())\n                    #self.logging.info(f'update_db_{calc}, {id}')\n\n    def update_row_topology(self, StructureType=\"Auto\", overwrite=True, prefix=None, ref_dim=3, timeout=60):\n        \"\"\"\n        Update row topology using CrystalNets.jl via subprocess (faster than juliacall).\n\n        Args:\n            StructureType (str): Type of structure to analyze. Options are:\n                - 'Zeolite': For zeolite structures\n                - 'MOF': For metal-organic frameworks\n                - 'Auto': For automatic detection\n            overwrite (bool): Whether to overwrite existing topology attributes.\n            prefix (str): Prefix for temporary CIF files.\n            ref_dim (int): Reference dimensionality to compare against.\n            timeout (int): Timeout in seconds for each Julia call. Default is 60.\n        \"\"\"\n        import subprocess\n        import json\n        import os\n        from time import time\n\n        # Create Julia script for batch topology processing (handles multiple ARGS)\n        julia_script = f\"\"\"\nusing CrystalNets\nusing JSON\n\nCrystalNets.toggle_warning(false)\nCrystalNets.toggle_export(false)\n\nstructure_type = \"{StructureType}\"\nif structure_type == \"Zeolite\"\n    option = CrystalNets.Options(structure=CrystalNets.StructureType.Zeolite)\nelseif structure_type == \"MOF\"\n    option = CrystalNets.Options(structure=CrystalNets.StructureType.MOF)\nelse\n    option = CrystalNets.Options(structure=CrystalNets.StructureType.Auto)\nend\n\nfunction process_one(cif_file)\n    try\n        result = CrystalNets.determine_topology(cif_file, option)\n        output = []\n        results_list = length(result) > 1 ? collect(result) : [result[1]]\n        for res in results_list\n            name = string(res[1])\n            count = res[2]\n            genome = res[1][CrystalNets.Clustering.Auto]\n            dim = CrystalNets.ndims(CrystalNets.PeriodicGraph(genome))\n            push!(output, Dict(\"dim\" => dim, \"name\" => name, \"count\" => count))\n        end\n        return output\n    catch e\n        return Dict(\"error\" => string(e))\n    end\nend\n\n# Process all input files and return an array aligned to ARGS\nfunction process_batch(files)\n    results = Vector{{Any}}()\n    for f in files\n        push!(results, process_one(f))\n    end\n    return results\nend\n\nif length(ARGS) > 0\n    println(JSON.json(process_batch(ARGS)))\nend\n\"\"\"\n\n        # Save Julia script\n        script_path = prefix + \"_process_topology.jl\"\n        with open(script_path, \"w\") as f:\n            f.write(julia_script)\n\n        def parse_topology(topology_list):\n            \"\"\"Parse topology list to get dimension, name, and detail\"\"\"\n            dim = 0\n            name = \"\"\n            detail = \"None\"\n\n            for i, topo in enumerate(topology_list):\n                d = topo[\"dim\"]\n                n = topo[\"name\"]\n\n                if d > dim:\n                    dim = d\n\n                tmp = n.split(\",\")[0]\n                if tmp.startswith(\"UNKNOWN\"):\n                    detail = tmp[7:]\n                    tmp = \"aaa\"\n                elif tmp.startswith(\"unstable\"):\n                    tmp = \"unstable\"\n\n                name += tmp\n                if topo[\"count\"] > 1:\n                    name += f\"({topo['count']})\"\n\n                if i + 1 < len(topology_list):\n                    name += \"-\"\n\n            return dim, name, detail\n\n        # Collect rows to process\n        rows_to_process = []\n        for row in self.db.select():\n            if overwrite or not hasattr(row, \"topology\"):\n                rows_to_process.append(row.id)\n\n        if len(rows_to_process) == 0:\n            self.logging.info(\"No rows to process for topology update\")\n            return\n\n        self.logging.info(f\"Processing {len(rows_to_process)} structures for topology\")\n\n        # Process structures in batches of 100: write CIFs once, call Julia once per batch\n        updates = []\n        batch_size = 100\n\n        def write_cifs_for_batch(batch_ids):\n            files = []\n            for row_id in batch_ids:\n                atoms = self.db.get_atoms(row_id)\n                cif_file = f\"{prefix}_{row_id}.cif\" if prefix is not None else f\"tmp_{row_id}.cif\"\n                atoms.write(cif_file, format=\"cif\", parallel=False)\n                files.append(cif_file)\n            return files\n\n        def cleanup_files(files):\n            for f in files:\n                try:\n                    if os.path.exists(f):\n                        os.remove(f)\n                except Exception:\n                    pass\n\n        # Loop over rows_to_process in chunks\n        for start in range(0, len(rows_to_process), batch_size):\n            end = min(start + batch_size, len(rows_to_process))\n            batch_ids = rows_to_process[start:end]\n\n            # 1) Write all CIFs for the batch\n            cif_files = write_cifs_for_batch(batch_ids)\n\n            # 2) Call Julia once with all file paths as arguments\n            try:\n                t0 = time()\n                result = subprocess.run(\n                    [\"julia\", script_path, *cif_files],\n                    capture_output=True,\n                    text=True,\n                    timeout=timeout\n                )\n                elapsed = time() - t0\n\n                if result.returncode != 0:\n                    self.logging.warning(f\"Julia failed for batch {start}-{end}: {result.stderr}\")\n                    # Mark all as errors in this batch\n                    for row_id in batch_ids:\n                        updates.append((row_id, \"error\", 3, \"julia_error\"))\n                else:\n                    # Expect JSON array of results aligned with inputs\n                    try:\n                        batch_output = json.loads(result.stdout.strip())\n                    except Exception as e:\n                        self.logging.warning(f\"Failed to parse JSON for batch {start}-{end}: {e}\")\n                        for row_id in batch_ids:\n                            updates.append((row_id, \"error\", 3, \"json_error\"))\n                        cleanup_files(cif_files)\n                        continue\n\n                    # If single file, CrystalNets returns object; normalize to list\n                    if isinstance(batch_output, dict) and (\"error\" in batch_output or \"dim\" in batch_output):\n                        batch_output = [batch_output]\n\n                    # If Julia printed one JSON object per line, split and parse\n                    if not isinstance(batch_output, list):\n                        lines = [line for line in result.stdout.splitlines() if line.strip()]\n                        batch_output = []\n                        for line in lines:\n                            try:\n                                batch_output.append(json.loads(line))\n                            except Exception:\n                                batch_output.append({\"error\": \"line_parse_error\"})\n\n                    # 3) Map results back to row ids\n                    print(f\"Batch output length: {len(batch_output)}, expected: {len(batch_ids)}, elapsed: {elapsed:.2f}s\")\n                    for idx, row_id in enumerate(batch_ids):\n\n                        #print(f\"Processing result for row {row_id}, index {idx}, {batch_output[idx]}\")\n                        if idx >= len(batch_output):\n                            updates.append((row_id, \"error\", 3, \"missing_output\"))\n                            continue\n                        out = batch_output[idx]\n\n                        # out should be a list of topo dicts for this file; handle both list/dict\n                        topo_list = out if isinstance(out, list) else [out]\n                        dim, name, detail = parse_topology(topo_list)\n                        if name.startswith(\"FAILED\"):\n                            name = '0-dimensional'\n\n                        # Optional verbose line for matches\n                        if dim == ref_dim:\n                            row = self.db.get(row_id)\n                            print(f\"Row {row_id}: {row.space_group_number} {row.wps} dim={dim} {name}\")\n\n                        updates.append((row_id, name, dim, detail))\n\n            except subprocess.TimeoutExpired:\n                self.logging.warning(f\"Timeout for batch {start}-{end} after {timeout}s\")\n                for row_id in batch_ids:\n                    updates.append((row_id, \"timeout\", 3, \"timeout\"))\n            except Exception as e:\n                self.logging.warning(f\"Error processing batch {start}-{end}: {e}\")\n                for row_id in batch_ids:\n                    updates.append((row_id, \"error\", 3, str(e)[:100]))\n            finally:\n                # 4) Clean up CIF files for this batch\n                cleanup_files(cif_files)\n\n            # 5) Write batch results to DB\n            if updates:\n                self.logging.info(f\"Batch updating {len(updates)} rows\")\n                with self.db:\n                    for (rid, tname, tdim, tdetail) in updates:\n                        self.db.update(rid, topology=tname, dimension=tdim, topology_detail=tdetail)\n                updates = []\n\n        # Clean up Julia script\n        if os.path.exists(script_path):\n            os.remove(script_path)\n\n        self.logging.info(f\"Completed topology update for {len(rows_to_process)} structures\")\n\n    def update_db_description(self):\n        \"\"\"\n        Update database description using robocrys.\n\n        Uses robocrystallographer (https://github.com/hackingmaterials/robocrystallographer)\n        to generate natural language descriptions of crystal structures.\n\n        For each row in the database that doesn't have a description:\n            1. Converts ASE atoms to pymatgen structure\n            2. Uses StructureCondenser to analyze bonding/connectivity\n            3. Uses StructureDescriber to generate text description\n            4. Updates the database row with the description\n\n        Note:\n            Use it with caution, as it may take a long time to run.\n        \"\"\"\n        from robocrys import StructureCondenser, StructureDescriber\n\n        condenser = StructureCondenser()\n        describer = StructureDescriber()\n\n        for row in self.db.select():\n            if not hasattr(row, \"description\"):\n                atoms = self.db.get_atoms(row.id)\n                pmg = ase2pymatgen(atoms)\n                try:\n                    condensed_structure = condenser.condense_structure(pmg)\n                    description = describer.describe(condensed_structure)\n                except:\n                    description = \"N/A\"\n\n                self.db.update(row.id, description=description)\n                print(\"\\n======Updating\\n\", description)\n            else:\n                print(\"\\n======Existing\\n\", row.description)\n\n    def export_structures(\n        self,\n        fmt=\"vasp\",\n        folder=\"mof_out\",\n        criteria=None,\n        sort_by=\"similarity\",\n        overwrite=True,\n        cutoff=None,\n        use_relaxed=None,\n    ):\n        \"\"\"\n        Export structures from database according to given criteria.\n\n        Args:\n            fmt (str): Output format (``vasp`` or ``cif``)\n            folder (str): Path to output folder\n            criteria (dict): Dictionary of validity criteria\n            sort_by (str): Attribute to sort structures by\n            overwrite (bool): Whether to remove existing output folder\n            cutoff (int): Maximum number of structures to export\n            use_relaxed (str, optional): e.g., ``ff_relaxed`` or ``vasp_relaxed``\n        \"\"\"\n\n        import shutil\n\n        if cutoff is None:\n            cutoff = self.db.count()\n        if not os.path.exists(folder):\n            os.makedirs(folder)\n        else:\n            if overwrite:\n                shutil.rmtree(folder)\n                os.makedirs(folder)\n\n        keys = [\n            \"id\",\n            \"pearson_symbol\",\n            \"space_group_number\",\n            \"density\",\n            \"dof\",\n            \"similarity\",\n            \"ff_energy\",\n            \"vasp_energy\",\n            \"mace_energy\",\n            \"topology\",\n        ]\n        properties = []\n        for row in self.db.select():\n            spg = row.space_group_number\n            den = row.density\n            dof = row.dof\n            ps = row.pearson_symbol\n            sim = float(row.similarity) if hasattr(\n                row, \"similarity\") and row.similarity is not None else None\n            top = row.topology if hasattr(row, \"topology\") else None\n            ff_eng = float(row.ff_energy) if hasattr(\n                row, \"ff_energy\") else None\n            vasp_eng = float(row.vasp_energy) if hasattr(\n                row, \"vasp_energy\") else None\n            mace_eng = float(row.mace_energy) if hasattr(\n                row, \"mace_energy\") else None\n            properties.append([row.id, ps, spg, den, dof,\n                              sim, ff_eng, vasp_eng, mace_eng,\n                              top])\n\n        dicts = {}\n        for i, key in enumerate(keys):\n            if properties[0][i] is not None:\n                dicts[key] = [prop[i] for prop in properties]\n\n        if sort_by in keys:\n            col = keys.index(sort_by)  # + 1\n        else:\n            print(\"supported attributes\", keys)\n            raise ValueError(\"Cannot sort by\", sort_by)\n\n        print(f\"====Exporting {len(properties)} structures\")\n        properties = [prop for prop in properties if prop[col] is not None]\n        sorted_properties = sorted(properties, key=lambda x: x[col])\n\n        for entry in sorted_properties[:cutoff]:\n            [id, ps, spg, den, dof, sim, ff_eng, vasp_eng, mace_eng, top] = entry\n            id = int(id)\n            spg = int(spg)\n            sim = float(sim)\n            den = float(den)\n            dof = int(dof)\n            if vasp_eng is not None:\n                eng = float(vasp_eng)\n            elif mace_eng is not None:\n                eng = float(mace_eng)\n            elif ff_eng is not None:\n                eng = float(ff_eng)\n            else:\n                eng = None\n            if True:\n            #try:\n                xtal = self.get_pyxtal(id, use_relaxed)\n                number, symbol = xtal.group.number, xtal.group.symbol.replace(\n                    \"/\", \"\")\n                # convert to the desired subgroup representation if needed\n                #if number != spg:\n                #    paths = xtal.group.path_to_subgroup(spg)\n                #    xtal = xtal.to_subgroup(paths)\n                #    number, symbol = (\n                #        xtal.group.number,\n                #        xtal.group.symbol.replace(\"/\", \"\"),\n                #    )\n\n                label = os.path.join(\n                    folder,\n                    f\"{id:d}-{xtal.get_Pearson_Symbol():s}-{number:d}-{symbol:s}\",\n                )\n\n                status = xtal.check_validity(\n                    criteria, True) if criteria is not None else True\n            #except:\n            #    status = False\n            #    label = \"Error\"\n\n            if status:\n                try:\n                    # if True:\n                    xtal.set_site_coordination()\n                    for s in xtal.atom_sites:\n                        _l, _sp, _cn = s.wp.get_label(), s.specie, s.coordination\n                        label += f\"-{_l:s}-{_sp:s}{_cn:d}\"\n                    label += f\"-S{sim:.3f}\"\n                    if len(label) > 40:\n                        label = label[:40]\n                except:\n                    print(\"Problem in setting site coordination\")\n\n                if den is not None:\n                    label += f\"-D{abs(den):.2f}\"\n                if eng is not None:\n                    label += f\"-E{abs(eng):.3f}\"\n                if top is not None:\n                    label += f\"-T{top:s}\"\n                # if sim is not None: label += '-S{:.2f}'.format(sim)\n\n                print(\"====Exporting:\", label)\n                if fmt == \"vasp\":\n                    xtal.to_file(label + \".vasp\", fmt=\"poscar\")\n                elif fmt == \"cif\":\n                    xtal.to_file(label + \".cif\")\n            else:\n                print(\"====Skippng:  \", label)\n\n        return dicts\n\n    def get_label(self, i):\n        if i < 10:\n            folder = f\"cpu00{i}\"\n        elif i < 100:\n            folder = f\"cpu0{i}\"\n        else:\n            folder = f\"cpu0{i}\"\n        return folder\n\n    def get_db_unique(self, db_name=None, prec=3, key='ff_energy', max_N_atoms=64):\n        \"\"\"\n        Get a database file containing only unique structures based on topology and energy.\n\n        Args:\n            db_name (str, optional): Filename for the new database.\n            If None, will use original name with '_unique' suffix.\n            prec (int, optional): Precision for rounding energy values. Default is 3.\n            key (str, optional): Energy attribute name to use for filtering.\n            Default is 'ff_energy'.\n            max_N_atoms (int, optional): Maximum n_atoms for pmg match. Default is 64.\n\n        Returns:\n            int: Number of unique structures in the new database.\n\n        Note:\n            Two structures are considered identical if they have:\n            - Same density value (within precision)\n            - Same energy value (within precision)\n            - Pymatgen match\n\n            When duplicates are found, the structure with lower DOF is kept.\n        \"\"\"\n        from pymatgen.analysis.structure_matcher import StructureMatcher\n        matcher = StructureMatcher(stol=0.3, ltol=0.2, angle_tol=5)\n\n        print(f\"The {self.db_name:s} has {self.db.count():d} strucs\")\n        if db_name is None:\n            db_name = self.db_name[:-3] + \"_unique.db\"\n        if os.path.exists(db_name):\n            os.remove(db_name)\n\n        lists = []\n        for row in self.db.select():\n            if hasattr(row, key) and getattr(row, key) is not None:\n                dof, den, energy = row.dof, round(row.density, prec), round(getattr(row, key), prec)\n                spg, wps = row.space_group_number, row.wps\n                is_unique = True\n                pmg = ase2pymatgen(row.toatoms())\n                list_entry = (row.id, dof, den, energy, spg, wps, pmg)\n                for list_entry_existing in lists:\n                    (_id, _dof, _den, _energy, _spg, _wps, _pmg) = list_entry_existing\n                    if den == _den and energy == _energy:\n                        # check pymatgen match\n                        if len(_pmg) > max_N_atoms or len(pmg) > max_N_atoms:\n                            if spg == _spg and wps == _wps:\n                                is_unique = False\n                                print(\"Duplicate\", row.id, den, energy)\n                                break\n                            # for large structures, skip pymatgen match to save time\n                        else:\n                            if matcher.fit(pmg, _pmg):\n                                is_unique = False\n                                if dof < _dof:\n                                    print(\"Updating\", row.id, den, energy)\n                                    lists.remove(list_entry_existing)\n                                    lists.append(list_entry)\n                                else:\n                                    print(\"Duplicate\", row.id, den, energy)\n                                break\n                if is_unique:\n                    print(\"Adding\", row.id, den, energy)\n                    lists.append(list_entry)\n        ids = [entry[0] for entry in lists]\n        with connect(db_name, serial=True) as db:\n            for id in ids:\n                row = self.db.get(id)\n                kvp = {}\n                for key in self.keys:\n                    if hasattr(row, key):\n                        kvp[key] = getattr(row, key)\n                db.write(row.toatoms(), key_value_pairs=kvp)\n        print(f\"Created {db_name:s} with {db.count():d} strucs\")\n        return db.count()\n\n    def get_db_unique_topology(self, db_name=None, prec=3, update_topology=True, key='ff_energy'):\n        \"\"\"\n        Get a database file containing only unique structures based on topology and energy.\n\n        Args:\n            db_name (str, optional): Filename for the new database.\n            If None, will use original name with '_unique' suffix.\n            prec (int, optional): Precision for rounding energy values. Default is 3.\n            update_topology (bool, optional): Whether to update topology before filtering.\n            Default is True.\n            key (str, optional): Energy attribute name to use for filtering.\n            Default is 'ff_energy'.\n\n        Returns:\n            int: Number of unique structures in the new database.\n\n        Note:\n            Two structures are considered identical if they have:\n            - Same topology\n            - Same topology detail\n            - Same energy value (within precision)\n\n            When duplicates are found, the structure with lower DOF is kept.\n        \"\"\"\n\n        print(f\"The {self.db_name:s} has {self.db.count():d} strucs\")\n        if db_name is None:\n            db_name = self.db_name[:-3] + \"_unique.db\"\n        if os.path.exists(db_name):\n            os.remove(db_name)\n\n        unique_props = {}  # Using a dictionary to store unique properties\n        if update_topology: self.update_row_topology()\n        for row in self.db.select():\n            if hasattr(row, key) and getattr(row, key) is not None:\n                top, top_detail = row.topology, row.topology_detail\n                dof, energy = row.dof, round(getattr(row, key), prec)\n                prop_key = (top, top_detail, energy)\n                # A dictionary lookup\n                if prop_key in unique_props:\n                    _id, _dof = unique_props[prop_key]\n                    if dof < _dof:\n                        print(\"Updating\", row.id, top, energy)\n                        unique_props[prop_key] = (row.id, dof)\n                    else:\n                        print(\"Duplicate\", row.id, top, energy)\n                else:\n                    print(\"Adding\", row.id, top, energy)\n                    unique_props[prop_key] = (row.id, dof)\n\n\n        ids = [unique_props[key][0] for key in unique_props.keys()]\n        with connect(db_name, serial=True) as db:\n            for id in ids:\n                row = self.db.get(id)\n                kvp = {}\n                for key in self.keys:\n                    if hasattr(row, key):\n                        kvp[key] = getattr(row, key)\n                db.write(row.toatoms(), key_value_pairs=kvp)\n        print(f\"Created {db_name:s} with {db.count():d} strucs\")\n        return db.count()\n\n    def check_overlap(self, reference_db, etol=2e-3, verbose=True):\n        \"\"\"\n        Check the overlap with a reference database.\n\n        Args:\n            reference_db (str): Path to the reference database file\n            etol (float, optional): Energy tolerance for identifying identical structures.\n                      Default is 2e-3.\n            verbose (bool, optional): Whether to print detailed overlap information.\n                        Default is True.\n\n        Returns:\n            list: List of overlapping structures, where each entry contains:\n            (id, pearson_symbol, dof, topology, ff_energy)\n\n        Note:\n            Two structures are considered overlapping if they have:\n                - Same topology\n                - Same topology detail\n                - Force field energies within etol of each other\n        \"\"\"\n\n        db_ref = database_topology(reference_db, log_file = self.log_file)\n        print(f\"\\nCurrent   database {self.db_name}: {self.db.count()}\")\n        print(f\"Reference database {db_ref.db_name}: {db_ref.db.count()}\")\n\n        ref_data = []\n        for row in db_ref.db.select():\n            if hasattr(row, \"topology\") and hasattr(row, \"ff_energy\"):\n                ref_data.append(\n                    (row.topology, row.topology_detail, row.ff_energy))\n\n        overlaps = []\n        for row in self.db.select():\n            if hasattr(row, \"topology\") and hasattr(row, \"ff_energy\"):\n                for ref in ref_data:\n                    (top, top_detail, ff_energy) = ref\n                    if (\n                        row.topology == top\n                        and row.topology_detail == top_detail\n                        and abs(row.ff_energy - ff_energy) < etol\n                    ):\n                        # strs = 'Find {:4d} {:6s}'.format(row.id, row.pearson_symbol)\n                        # strs += ' {:12s} {:10.3f}'.format(row.topology, row.ff_energy)\n                        # print(strs)\n                        overlaps.append(\n                            (\n                                row.id,\n                                row.pearson_symbol,\n                                row.dof,\n                                row.topology,\n                                row.ff_energy,\n                            )\n                        )\n                        break\n        strs = f\"\\nThe number of overlap is: {len(overlaps):d}\"\n        strs += f\"/{self.db.count():d}/{db_ref.db.count():d}\"\n        print(strs)\n        sorted_overlaps = sorted(overlaps, key=lambda x: x[-1])\n        if verbose:\n            for entry in sorted_overlaps:\n                print(\"{:4d} {:6s} {:4d} {:20s} {:10.3f}\".format(*entry))\n\n        return overlaps\n\n    def print_info(self, excluded_ids=None, cutoff=100):\n        \"\"\"\n        Print out the summary of the database based on the calculated energy\n        Mostly used to quickly view the most interesting low-energy structures.\n        Todo: show vasp_energy if available\n\n        Args:\n            excluded_ids (list): list of unwanted row ids\n            cutoff (int): the cutoff value for the print\n        \"\"\"\n        if excluded_ids is None:\n            excluded_ids = []\n        print(f\"\\nCurrent database {self.db_name}: {self.db.count()}\")\n        output = []\n        for row in self.db.select():\n            if row.id not in excluded_ids and hasattr(row, \"topology\") and hasattr(row, \"ff_energy\"):\n                output.append(\n                    (\n                        row.id,\n                        row.pearson_symbol,\n                        row.dof,\n                        row.topology,\n                        row.ff_energy,\n                    )\n                )\n\n        sorted_output = sorted(output, key=lambda x: x[-1])\n        for entry in sorted_output[:cutoff]:\n            print(\"{:4d} {:6s} {:4d} {:20s} {:10.3f}\".format(*entry))\n\n        strs = f\"Showed structures: {len(sorted_output)}/{self.db.count()}\"\n        print(strs)\n\n    def plot_histogram(self, prop, ax=None, filename=None, xlim=None, nbins=20):\n        \"\"\"\n        Plot the histogram of a specified row property.\n\n        Args:\n            prop (str): The name of the property to plot (e.g., 'ff_energy').\n            ax (matplotlib.axes.Axes, optional): Pre-existing axis to plot on.\n                                                 If None, a new ax will be created.\n            filename (str, optional): Path to save the plot (e.g., 'plot.png').\n                                      If None, the plot will not be saved.\n            xlim (tuple, optional): Limits for the x-axis (e.g., (0, 10)).\n                                    If None, the x-axis will scale automatically.\n            nbins (int, optional): Number of bins for the histogram. Default is 20.\n\n        Returns:\n            matplotlib.axes.Axes: The axis object with the histogram plotted.\n        \"\"\"\n        import matplotlib.pyplot as plt\n\n        if ax is None:\n            f, ax = plt.subplots()\n\n        # Get the properties from the database\n        props = self.get_properties(prop)\n\n        # Check if there are values to plot\n        if not props:\n            raise ValueError(f\"No rows contain the property '{prop}'.\")\n\n        ax.hist(props, nbins, density=True, alpha=0.75)\n\n        # Set x-axis limits if provided\n        if xlim is not None:\n            ax.set_xlim(xlim)\n\n        ax.set_xlabel(prop)\n\n        # Save the plot if a filename is provided\n        if filename is not None:\n            plt.savefig(filename)\n\n        return ax\n\n    def get_properties(self, prop):\n        \"\"\"\n        Retrieve a list of specific property values from the database rows.\n\n        Args:\n            prop (str): The property name to retrieve (e.g., 'ff_energy')\n\n        Returns:\n            list: A list of property values for rows that have the specified property.\n                  If a row does not contain the property, it is ignored.\n\n        Raises:\n            Warning: If no rows in the database contain the specified property.\n        \"\"\"\n\n        props = []\n\n        # Loop through all rows in the database and collect the property values\n        for row in self.db.select():\n            if hasattr(row, prop):\n                props.append(getattr(row, prop))\n\n        # Print summary of rows\n        name, count = self.db_name, self.db.count()\n        print(f\"Database {name} has {prop}: {len(props)}/{count}\")\n\n        # Warn if no properties were found\n        if count == 0:\n            raise Warning(\n                f\"No rows in the database contain the property '{prop}'.\")\n\n        return props\n\n\nif __name__ == \"__main__\":\n    # open\n    if False:\n        db = database(\"test.db\")\n        print(\"Total number of entries\", len(db.codes))\n\n        # view structure\n        c = db.get_pyxtal(\"HXMTAM\")\n        print(c)\n    if False:\n        db = database_topology(\"../MOF-Builder/C-sp2/sp2-sacada-0506.db\")\n        # xtal = db.get_pyxtal(1)\n        # print(xtal)\n        # db.add_xtal(xtal, kvp={'similarity': 0.1})\n\n        # db.update_row_ff_energy(ids=(0, 2), overwrite=True)\n        # db.update_row_ff_energy(ncpu=2, ids=(2, 20), overwrite=True)\n        # brew install coreutils to get timeout in maca\n        # os.environ['ASE_DFTB_COMMAND'] = 'timeout 1m /Users/qzhu8/opt/dftb+/bin/dftb+ > PREFIX.out'\n        os.environ[\"ASE_DFTB_COMMAND\"] = \"/Users/qzhu8/opt/dftb+/bin/dftb+ > PREFIX.out\"\n        skf_dir = \"/Users/qzhu8/GitHub/MOF-Builder/3ob-3-1/\"\n        # db.update_row_dftb_energy(skf_dir, ncpu=1, ids=(0, 2), overwrite=True)\n        db.update_row_dftb_energy(\n            skf_dir, ncpu=1, ids=(17, 17), overwrite=True)\n\n    db = database_topology(\"total.db\")\n    db.get_db_unique()\n    db1 = database_topology(\"sp2_sacada.db\")\n    db1.get_db_unique()\n    db = database_topology(\"total_unique.db\")\n    db.check_overlap(\"sp2_sacada_unique.db\")\n    db1.export_structures(folder=\"mof_out_sacada\")\n"
  },
  {
    "path": "pyxtal/descriptor.py",
    "content": "\"\"\"\nModule for crystal packing descriptor from energy decomposition\n\"\"\"\n\nimport numpy as np\nfrom scipy.optimize import minimize\nfrom scipy.spatial.transform import Rotation\nfrom scipy.special import sph_harm\nfrom scipy.stats import qmc\n\n\ndef _qlm(dists, l=4):\n    \"\"\"\n    Calculates the vector associated with an atomic site and\n    one of its neighbors\n\n    Args:\n        distss: a list of distance vectors\n        l:  free integer quantum number\n    Returns:\n        q: numpy array(complex128), the complex vector qlm normalized\n            by the number of nearest neighbors\n    \"\"\"\n    # initiate variable as a complex number\n    q = np.zeros(2 * l + 1, dtype=np.complex128)\n    neighbors_count = len(dists)\n\n    for i, m in enumerate(range(-l, l + 1)):\n        for _j, r_vec in enumerate(dists):\n            # find the position vector of the site/neighbor pair\n            r_mag = np.linalg.norm(r_vec)\n            theta = np.arccos(r_vec[2] / r_mag)\n            if abs((r_vec[2] / r_mag) - 1.0) < 10.0 ** (-8.0):\n                theta = 0.0\n            elif abs((r_vec[2] / r_mag) + 1.0) < 10.0 ** (-8.0):\n                theta = np.pi\n\n            # phi\n            if r_vec[0] < 0.0:\n                phi = np.pi + np.arctan(r_vec[1] / r_vec[0])\n            elif r_vec[0] > 0.0 and r_vec[1] < 0.0:\n                phi = 2 * np.pi + np.arctan(r_vec[1] / r_vec[0])\n            elif r_vec[0] > 0.0 and r_vec[1] >= 0.0:\n                phi = np.arctan(r_vec[1] / r_vec[0])\n            elif r_vec[0] == 0.0 and r_vec[1] > 0.0:\n                phi = 0.5 * np.pi\n            elif r_vec[0] == 0.0 and r_vec[1] < 0.0:\n                phi = 1.5 * np.pi\n            else:\n                phi = 0.0\n\n            q[i] += sph_harm(m, l, phi, theta)\n    # normalize by number of neighbors\n    return q / neighbors_count\n\n\ndef correlation(coef1, coef2, angle=None, s=0):\n    \"\"\"\n    Compute the correlation between to sph coefs\n\n    Args:\n        coef1: sph coefficients 1\n        coef2: sph coefficients 2\n        angle: [alpha, beta, gamma]\n        s: starting index of coefs\n\n    Return:\n        distance scaled in [0, 1]\n    \"\"\"\n    if angle is not None:\n        coef2 = coef2.rotate(angle[0], angle[1], angle[2], degrees=True)\n    power = np.sqrt(coef1.spectrum()[s:].sum() * coef2.spectrum()[s:].sum())\n    cross = coef1.cross_spectrum(coef2)[s:]\n    return cross.sum() / power\n\n\ndef correlation_opt(coef1, coef2, angle, s=0):\n    \"\"\"\n    Compute the correlation between two sph coefs\n\n    Args:\n        coef1: sph coefficients 1\n        coef2: sph coefficients 2\n        angle: [alpha, beta, gamma]\n        s: starting index of coefs\n\n    Return:\n        distance scaled in [0, 1]\n    \"\"\"\n\n    def fun(x0, coef1, coef2, s):\n        coef = coef2.rotate(x0[0], x0[1], x0[2], degrees=True)\n        return -correlation(coef1, coef, s=s)\n\n    res = minimize(\n        fun,\n        angle,\n        args=(coef1, coef2, s),\n        method=\"Nelder-Mead\",\n        options={\"maxiter\": 20},\n    )\n    return -res.fun, res.x\n\n\ndef correlation_go(coef1, coef2, M=6, s=0, d_cut=0.92):\n    \"\"\"\n    global optimization of two coefs based on quasi random sampling\n\n    Args:\n        coef1: sph coefficients 1\n        coef2: sph coefficients 2\n        M: 2^M sampling points\n        s: starting index of coefs\n\n    Return:\n        distance scaled in [0, 1]\n\n    \"\"\"\n    sampler = qmc.Sobol(d=3, scramble=False)\n    sample = sampler.random_base2(m=M)\n    sample = qmc.scale(sample, [-180, -90, -180], [180, 90, 180])\n\n    ds, angles = [], []\n    for angle in sample:\n        d, angle = correlation_opt(coef1, coef2, angle, s=0)\n        ds.append(d)\n        angles.append(angle)\n        if d > d_cut * 1.1:\n            break\n    ds = np.array(ds)\n    id = np.argmax(ds)\n    return ds[id], angles[id]\n\n\ndef fibonacci_sphere(N=1000):\n    \"\"\"\n    Sampling the sphere grids\n\n    Args:\n        N: number of pts to generate\n\n    Returns:\n        3D points array in Cartesian coordinates\n    \"\"\"\n    points = []\n    phi = np.pi * (3.0 - np.sqrt(5.0))  # golden angle in radians\n    for i in range(N):\n        y = 1 - (i / float(N - 1)) * 2  # y goes from 1 to -1\n        radius = np.sqrt(1 - y * y)  # radius at y\n        theta = phi * i  # golden angle increment\n        x = np.cos(theta) * radius\n        z = np.sin(theta) * radius\n        points.append((x, y, z))\n\n    return np.array(points)\n\n\ndef cart2sph(x, y, z):\n    \"\"\"\n    Convert Cartesian coordinates (x, y, z) to spherical coordinates (phi, theta, r)\n    \n    Args:\n        x, y, z: Cartesian coordinates\n        \n    Returns:\n        phi: azimuthal angle in [-pi, pi]\n        theta: polar angle in [-pi/2, pi/2] \n        r: radius\n    \"\"\"\n    hxy = np.hypot(x, y)\n    r = np.hypot(hxy, z)\n    theta = np.arctan2(z, hxy)\n    phi = np.arctan2(y, x)\n    return phi, theta, r\n\n\ndef sph2cart(phi, theta, r):\n    \"\"\"\n    Convert spherical coordinates (phi, theta, r) to Cartesian coordinates (x, y, z)\n    \n    Args:\n        phi: azimuthal angle in radians\n        theta: polar angle in radians\n        r: radius\n        \n    Returns:\n        x, y, z: Cartesian coordinates\n    \"\"\"\n    rcos_theta = r * np.cos(theta)\n    x = rcos_theta * np.cos(phi)\n    y = rcos_theta * np.sin(phi)\n    z = r * np.sin(theta)\n    return x, y, z\n\n\ndef xyz2sph(xyzs, radian=True):\n    \"\"\"\n    Convert vectors (x, y, z) to spherical coordinates (theta, phi)\n\n    Args:\n        xyzs: numpy array of 3D Cartesian coordinates \n        radian: If True, return angles in radians. If False, return in degrees (default True)\n\n    Returns:\n        pts: numpy array of shape (N, 2) containing (theta, phi) angles\n    \"\"\"\n    pts = np.zeros([len(xyzs), 2])\n    for i, r_vec in enumerate(xyzs):\n        r_mag = np.linalg.norm(r_vec)\n        theta0 = np.arccos(r_vec[2] / r_mag)\n        if abs((r_vec[2] / r_mag) - 1.0) < 10.0 ** (-8.0):\n            theta0 = 0.0\n        elif abs((r_vec[2] / r_mag) + 1.0) < 10.0 ** (-8.0):\n            theta0 = np.pi\n\n        if r_vec[0] < 0.0:\n            phi0 = np.pi + np.arctan(r_vec[1] / r_vec[0])\n        elif r_vec[0] > 0.0 and r_vec[1] < 0.0:\n            phi0 = 2 * np.pi + np.arctan(r_vec[1] / r_vec[0])\n        elif r_vec[0] > 0.0 and r_vec[1] >= 0.0:\n            phi0 = np.arctan(r_vec[1] / r_vec[0])\n        elif r_vec[0] == 0.0 and r_vec[1] > 0.0:\n            phi0 = 0.5 * np.pi\n        elif r_vec[0] == 0.0 and r_vec[1] < 0.0:\n            phi0 = 1.5 * np.pi\n        else:\n            phi0 = 0.0\n        pts[i, :] = [theta0, phi0]\n    if not radian:\n        pts = np.degree(pts)\n\n    return pts\n\n\ndef expand_sph(pts, l_max, norm=4, csphase=-1):\n    from pyshtools.expand import SHExpandLSQ\n\n    \"\"\"\n    Transform the grid points to spherical harmonics\n\n    Args:\n        pts: 3D array\n            (thetas, phis, vals) with a length of N\n\n        lmax: Integer\n            The maximum degree of spherical harmonic.\n\n        coeff_norm: integer\n            The normalization of SHExpandLSQ().\n            1 (default) = Geodesy 4-pi normalized harmonics;\n            2 = Schmidt semi-normalized harmonics;\n            3 = unnormalized harmonics;\n            4 = orthonormal harmonics.\n\n        csphase: Integer\n            whether (-1) or not (1) apply the Condon-Shortley phase factor.\n\n    Return:\n        cilm: float, dimension (2, lmax+1, lmax+1)\n            Coefficients of the spherican harmonic\n\n        chi2: float\n            The residual sum of squares misfit for an overdetermined inversion.\n    \"\"\"\n    thetas, phis, vals = pts[:, 0], pts[:, 1], pts[:, 2]\n    phis = np.degrees(phis)\n    # shift from (0, 180) to (-90, 90)\n    thetas = np.degrees(thetas)\n    thetas -= 90\n\n    # if thetas is within [0, 180]\n    # print('check thetas', thetas.min(), thetas.max())\n    # if abs(thetas.min()) < 1e-3: thetas -= 90\n    cilm, chi2 = SHExpandLSQ(vals, thetas, phis, l_max, norm=norm, csphase=csphase)\n\n    return cilm, chi2\n\n\ndef get_alignment(pts, degrees=True):\n    \"\"\"\n    Here we define the equator is the plane with three most important neighbors.\n    Get the required rotation angles to get that representation.\n\n    Args:\n        pts; important points (3D array)\n\n    Returns:\n        angles: [alpha, beta, gamma]\n    \"\"\"\n    # get the three most importants ids\n    tps = pts[:3]\n\n    xyz0 = np.array(\n        [\n            np.sin(tps[0, 0]) * np.cos(tps[0, 1]),\n            np.sin(tps[0, 1]) * np.sin(tps[0, 0]),\n            np.cos(tps[0, 0]),\n        ]\n    )\n    xyz1 = np.array(\n        [\n            np.sin(tps[1, 0]) * np.cos(tps[1, 1]),\n            np.sin(tps[1, 1]) * np.sin(tps[1, 0]),\n            np.cos(tps[1, 0]),\n        ]\n    )\n    xyz2 = np.array(\n        [\n            np.sin(tps[2, 0]) * np.cos(tps[2, 1]),\n            np.sin(tps[2, 1]) * np.sin(tps[2, 0]),\n            np.cos(tps[2, 0]),\n        ]\n    )\n    line1, line2 = xyz1 - xyz0, xyz2 - xyz0\n    ax1 = np.cross(line1, line2)\n    ax1 /= np.linalg.norm(ax1)\n    ax0 = np.array([0.0, 0.0, 1.0])\n    #\n    vec = np.cross(ax0, ax1)\n    angle = np.arccos(np.dot(ax0, ax1))\n    r = Rotation.from_rotvec(angle * vec)\n    angles = r.as_euler(\"zyz\")\n    if degrees:\n        angles = np.degrees(angles)\n    return angles\n\n\nclass spherical_image:\n    import pyshtools as pysh\n\n    \"\"\"\n    A class to handle the crystal packing descriptor from spherical image\n\n    Args:\n        xtal: pyxtal structure\n        model: 'molecule' or 'contact'\n        max_d: maximum intermolecular distances\n        lmax: maximum bandwidth for spherical harmonic expansion\n        sigma: Gaussian width to project into the unit sphere\n        N: number of grid points on the unit sphere\n    \"\"\"\n\n    def __init__(self, xtal, model=\"molecule\", max_d=10, factor=2.2, lmax=13, sigma=0.1, N=10000):\n        for i in range(len(xtal.mol_sites)):\n            try:\n                numbers = xtal.mol_sites[i].molecule.mol.atomic_numbers\n                if numbers.count(7) > 0 or numbers.count(8) > 0:\n                    xtal.mol_sites[i].molecule.set_labels()\n            except:\n                print(\"Warning! Needs the smiles information!\")\n        self.xtal = xtal\n        self.max_d = max_d\n        self.factor = factor\n        self.lmax = lmax\n        self.sigma = sigma\n        self.N = N\n\n        xyzs = fibonacci_sphere(N)\n        grids = np.zeros([N, 3])\n        grids[:, :2] = xyz2sph(xyzs)\n\n        if model == \"molecule\":\n            self.pts = self.get_molecules()\n        else:\n            self.pts = self.get_contacts()\n        self.coefs = []\n        for pt in self.pts:\n            grids[:, 2] = self.calculate_density(pt, xyzs)\n            cilm, chi2 = expand_sph(grids, lmax)\n            self.coefs.append(pysh.SHCoeffs.from_array(cilm))\n        self.ds = np.ones(len(self.coefs))\n\n    def calculate_density(self, pt, xyzs):\n        \"\"\"\n        calculate the projected density on the unit sphere\n        \"\"\"\n        vals = np.zeros(len(xyzs))\n        for _pt in pt:\n            t0, p0, h = _pt\n            x0, y0, z0 = np.sin(t0) * np.cos(p0), np.sin(t0) * np.sin(p0), np.cos(t0)\n            dst = np.linalg.norm(xyzs - np.array([x0, y0, z0]), axis=1)\n            vals += h * np.exp(-(dst**2 / (2.0 * self.sigma**2)))\n        return vals\n\n    def get_molecules(self):\n        \"\"\"\n        compute the spherical images from neighboring molecules\n\n        Returns:\n            pts: [N, 3] array, (theta, phi, eng)\n        \"\"\"\n        pts = []\n        for i, site in enumerate(self.xtal.mol_sites):\n            _, neighs, comps, _, engs = self.xtal.get_neighboring_molecules(\n                i, factor=self.factor, max_d=self.max_d, ignore_E=False\n            )\n            xyz, _ = site._get_coords_and_species(absolute=True, first=True)\n            center = site.molecule.get_center(xyz)\n            coords = np.zeros([len(neighs), 3])\n            for _i, xyz in enumerate(neighs):\n                # coords[_i, :] = site.molecule.get_center(xyz) - center\n                coords[_i, :] = self.xtal.molecules[comps[_i]].get_center(xyz) - center\n            pt = np.zeros([len(coords), 3])\n            pt[:, :2] = xyz2sph(coords)\n            pt[:, 2] = engs / np.sum(engs)\n            pts.append(pt)\n        return pts\n\n    def get_contacts(self):\n        \"\"\"\n        Compute the spherical images from the neighboring distances\n\n        Returns:\n            pts: [N, 3] array, (theta, phi, eng)\n        \"\"\"\n        pts = []\n        for i, _site in enumerate(self.xtal.mol_sites):\n            engs, pairs, dists = self.xtal.get_neighboring_dists(i, factor=self.factor, max_d=self.max_d)\n            pt = np.zeros([len(pairs), 3])\n            pt[:, :2] = xyz2sph(pairs)\n            pt[:, 2] = engs / np.sum(engs)\n            pts.append(pt)\n        return pts\n\n    def plot_sph_images(self, lmax=None, figname=None, molecule=False):\n        \"\"\"\n        Plot the spherical images in both 3d and 2d\n\n        Args:\n            lmax: maximum truncation\n            figname: name of figure file\n            molecule: draw 2D molecule diagram or not\n        \"\"\"\n        import matplotlib.gridspec as gridspec\n        import matplotlib.pyplot as plt\n\n        if molecule:\n            nrows = len(self.coefs) + 1\n            shift = 1\n        else:\n            nrows = len(self.coefs)\n            shift = 0\n\n        fig = plt.figure(figsize=(9, 4 * nrows))\n        gs = gridspec.GridSpec(nrows=nrows, ncols=2, wspace=0.15, width_ratios=[0.7, 1])\n        if molecule:\n            from rdkit import Chem\n            from rdkit.Chem import Draw\n\n            smi = \"\"\n            for i, m in enumerate(self.xtal.molecules):\n                smi += m.smile\n                if i + 1 < len(self.xtal.molecules):\n                    smi += \".\"\n\n            m = Chem.MolFromSmiles(smi)\n            im = Draw.MolToImage(m)\n            ax0 = fig.add_subplot(gs[0, :])\n            plt.imshow(im)\n            ax0.axis(\"off\")\n\n        if lmax is None:\n            lmax = self.lmax\n        elif lmax > self.lmax:\n            print(\"Warning: Cannot set lmax greater than the \", self.lmax)\n            lmax = self.lmax\n\n        for i in range(len(self.coefs)):\n            ax1 = fig.add_subplot(gs[i + shift, 0])\n            ax2 = fig.add_subplot(gs[i + shift, 1])\n            coef = self.coefs[i]\n            grid = coef.expand(lmax=lmax)\n            grid.plot3d(0, 0, title=f\"{self.ds[i]:6.3f}\", show=False, ax=ax1)\n            grid.plot(\n                show=False,\n                ax=ax2,\n                tick_interval=[120, 90],\n                tick_labelsize=14,\n                axes_labelsize=16,\n            )\n            ax2.set_xlim([1, 359])\n\n        if figname is None:\n            plt.show()\n        else:\n            plt.savefig(figname)\n\n    def plot_real_image(self, id=0):\n        \"\"\"\n        Plot the real molecular contacts in the crystal\n        \"\"\"\n        return self.xtal.show_mol_cluster(id, factor=self.factor, max_d=self.max_d, ignore_E=False, plot=False)\n\n    def align(self, M=6):\n        \"\"\"\n        Align spherical image in a way that three most important contributions\n        are parallel to the equatorial plane. Experimental stage now!\n\n        Args:\n            M: number of power in quasi random sampling\n        \"\"\"\n        self.coefs[0]\n        angles = get_alignment(self.pts[0])\n        self.coefs[0] = self.coefs[0].rotate(angles[0], angles[1], angles[2])\n\n        for i in range(1, len(self.coefs)):\n            coef1 = self.coefs[i]\n            d, angles = correlation_go(self.coefs[0], coef1, M=M)\n            self.coefs[i] = coef1.rotate(angles[0], angles[1], angles[2])\n            self.ds[i] = d\n\n    def rotate(self, alpha=0, beta=0, gamma=0):\n        \"\"\"\n        uniformly rotate the coefs\n\n        Args:\n            alpha: rotation in degrees\n            beta: rotation in degress\n            gamma: rotation in degress\n        \"\"\"\n        for i in range(len(self.coefs)):\n            self.coefs[i] = self.coefs[i].rotate(alpha, beta, gamma)\n\n    def get_similarity(self, sph2, M=6, cutoff=0.95):\n        \"\"\"\n        Compute the similarity matrix between two sphs\n\n        Args:\n            sph2: the 2nd sph class\n            M: number of power in quasi random sampling\n            cutoff: cutoff similarity to terminate search early\n        \"\"\"\n        S = np.zeros([len(self.coefs), len(sph2.coefs)])\n        for i in range(len(self.coefs)):\n            coef1 = self.coefs[i]\n            for j in range(len(sph2.coefs)):\n                coef2 = sph2.coefs[j]\n                d, _ = correlation_go(coef1, coef2, M=M, d_cut=cutoff)\n                S[i, j] = d\n        return S\n\n\nclass orientation_order:\n    \"\"\"\n    Computes the Steinhardt orientation order parameters\n\n    Args:\n        xtal: pyxtal structure\n        max_d: maximum intermolecular distances\n        lmax: maximum bandwidth for spherical harmonic expansion\n    \"\"\"\n\n    def __init__(self, xtal, max_CN=14):\n        self.xtal = xtal\n        self.max_CN = max_CN\n        self.dists = self.get_neighbors()\n\n    def get_neighbors(self):\n        \"\"\"\n        get neighboring molecules\n\n        Returns:\n            pts: [N, 3] array, (theta, phi, eng)\n        \"\"\"\n        pts = []\n        for i, site in enumerate(self.xtal.mol_sites):\n            _, neighs, comps, _, engs = self.xtal.get_neighboring_molecules(i)\n            xyz, _ = site._get_coords_and_species(absolute=True, first=True)\n            center = site.molecule.get_center(xyz)\n            coords = np.zeros([len(neighs), 3])\n            # print(len(neighs))\n            if len(neighs) > self.max_CN:\n                neighs = neighs[: self.max_CN]\n            for _i, xyz in enumerate(neighs):\n                coords[_i, :] = self.xtal.molecules[comps[_i]].get_center(xyz) - center\n            pts.append(coords)\n        return pts\n\n    def get_parameters(self, ls=None):\n        \"\"\"\n        Computes the orientation order parameters q_l for given l values.\n        \n        Args:\n            ls: list of integers, the l values to compute q_l. Default is [4,6]\n            \n        Returns:\n            qs: list of float, the computed q_l values\n        \"\"\"\n        if ls is None:\n            ls = [4, 6]\n        qs = []\n        for dist in self.dists:\n            for l in ls:\n                (4 * np.pi) / (2 * l + 1)\n                qlms = _qlm(dist, l)\n                dot = float(np.sum(qlms * np.conjugate(qlms)))\n                qs.append(np.sqrt((4 * np.pi) / (2 * l + 1) * dot))\n\n        return qs\n\n\nif __name__ == \"__main__\":\n    import importlib.resources\n\n    from pyxtal import pyxtal\n\n    with importlib.resources.as_file(importlib.resources.files(\"pyxtal\") / \"database\" / \"cifs\") as path:\n        cif_path = path\n    c1 = pyxtal(molecular=True)\n    for name in [\"benzene\", \"resorcinol\", \"aspirin\", \"naphthalene\"]:\n        c1.from_seed(seed=str(cif_path / f\"{name}.cif\"), molecules=[name])\n        for model in [\"contact\", \"molecule\"]:\n            print(name, model)\n            sph = spherical_image(c1, model=model, lmax=18)\n            sph.align()\n            sph.plot_sph_images(figname=name + \"-\" + model + \".png\")\n\n    # for name in ['BENZEN', 'ACSALA', 'RESORA']:\n    #    c1.from_CSD(name)\n    #    for model in ['contact', 'molecule']:\n    #        sph = spherical_image(c1, model=model, lmax=18)\n    #        sph.align()\n    #        sph.plot_sph_images(figname=name+'-'+model+'.png', molecule=True)\n"
  },
  {
    "path": "pyxtal/elasticity.py",
    "content": "# ======================================================================\n# matscipy - Python materials science tools\n# https://github.com/libAtoms/matscipy\n#\n# Copyright (2014) James Kermode, King's College London\n#                  Lars Pastewka, Karlsruhe Institute of Technology\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 2 of the License, or\n# (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program.  If not, see <http://www.gnu.org/licenses/>.\n# ======================================================================\n\n\nimport itertools\nimport warnings\n\nimport numpy as np\nfrom numpy.linalg import inv, norm\n\ntry:\n    import scipy.stats as scipy_stats\nexcept:\n    scipy_stats = None\n\nfrom time import time\n\nimport ase.units as units\nfrom ase.atoms import Atoms\nfrom ase.io import read\n\n###\n\n# The indices of the full stiffness matrix of (orthorhombic) interest\nVoigt_notation = [(0, 0), (1, 1), (2, 2), (1, 2), (0, 2), (0, 1)]\n\n\ndef full_3x3_to_Voigt_6_index(i, j):\n    if i == j:\n        return i\n    return 6 - i - j\n\n\n###\n\n\ndef Voigt_6_to_full_3x3_strain(strain_vector):\n    \"\"\"\n    Form a 3x3 strain matrix from a 6 component vector in Voigt notation\n    \"\"\"\n    e1, e2, e3, e4, e5, e6 = np.transpose(strain_vector)\n    return np.transpose(\n        [\n            [1.0 + e1, 0.5 * e6, 0.5 * e5],\n            [0.5 * e6, 1.0 + e2, 0.5 * e4],\n            [0.5 * e5, 0.5 * e4, 1.0 + e3],\n        ]\n    )\n\n\ndef Voigt_6_to_full_3x3_stress(stress_vector):\n    \"\"\"\n    Form a 3x3 stress matrix from a 6 component vector in Voigt notation\n    \"\"\"\n    s1, s2, s3, s4, s5, s6 = np.transpose(stress_vector)\n    return np.transpose([[s1, s6, s5], [s6, s2, s4], [s5, s4, s3]])\n\n\ndef full_3x3_to_Voigt_6_strain(strain_matrix):\n    \"\"\"\n    Form a 6 component strain vector in Voigt notation from a 3x3 matrix\n    \"\"\"\n    strain_matrix = np.asarray(strain_matrix)\n    return np.transpose(\n        [\n            strain_matrix[..., 0, 0] - 1.0,\n            strain_matrix[..., 1, 1] - 1.0,\n            strain_matrix[..., 2, 2] - 1.0,\n            strain_matrix[..., 1, 2] + strain_matrix[..., 2, 1],\n            strain_matrix[..., 0, 2] + strain_matrix[..., 2, 0],\n            strain_matrix[..., 0, 1] + strain_matrix[..., 1, 0],\n        ]\n    )\n\n\ndef full_3x3_to_Voigt_6_stress(stress_matrix):\n    \"\"\"\n    Form a 6 component stress vector in Voigt notation from a 3x3 matrix\n    \"\"\"\n    stress_matrix = np.asarray(stress_matrix)\n    return np.transpose(\n        [\n            stress_matrix[..., 0, 0],\n            stress_matrix[..., 1, 1],\n            stress_matrix[..., 2, 2],\n            (stress_matrix[..., 1, 2] + stress_matrix[..., 1, 2]) / 2,\n            (stress_matrix[..., 0, 2] + stress_matrix[..., 0, 2]) / 2,\n            (stress_matrix[..., 0, 1] + stress_matrix[..., 0, 1]) / 2,\n        ]\n    )\n\n\ndef Voigt_6x6_to_full_3x3x3x3(C):\n    \"\"\"\n    Convert from the Voigt representation of the stiffness matrix to the full\n    3x3x3x3 representation.\n\n    Parameters\n    ----------\n    C : array_like\n        6x6 stiffness matrix (Voigt notation).\n\n    Returns\n    -------\n    C : array_like\n        3x3x3x3 stiffness matrix.\n    \"\"\"\n\n    C = np.asarray(C)\n    C_out = np.zeros((3, 3, 3, 3), dtype=float)\n    for i, j, k, l in itertools.product(range(3), range(3), range(3), range(3)):\n        Voigt_i = full_3x3_to_Voigt_6_index(i, j)\n        Voigt_j = full_3x3_to_Voigt_6_index(k, l)\n        C_out[i, j, k, l] = C[Voigt_i, Voigt_j]\n    return C_out\n\n\ndef full_3x3x3x3_to_Voigt_6x6(C):\n    \"\"\"\n    Convert from the full 3x3x3x3 representation of the stiffness matrix\n    to the representation in Voigt notation. Checks symmetry in that process.\n    \"\"\"\n\n    tol = 1e-3\n\n    C = np.asarray(C)\n    Voigt = np.zeros((6, 6))\n    for i in range(6):\n        for j in range(6):\n            k, l = Voigt_notation[i]\n            m, n = Voigt_notation[j]\n            Voigt[i, j] = C[k, l, m, n]\n\n            # print '---'\n            # print k,l,m,n, C[k,l,m,n]\n            # print m,n,k,l, C[m,n,k,l]\n            # print l,k,m,n, C[l,k,m,n]\n            # print k,l,n,m, C[k,l,n,m]\n            # print m,n,l,k, C[m,n,l,k]\n            # print n,m,k,l, C[n,m,k,l]\n            # print l,k,n,m, C[l,k,n,m]\n            # print n,m,l,k, C[n,m,l,k]\n            # print '---'\n\n            # Check symmetries\n            assert (\n                abs(Voigt[i, j] - C[m, n, k, l]) < tol\n            ), f\"Voigt[{i},{j}] = {Voigt[i, j]}, C[{m},{n},{k},{l}] = {C[m, n, k, l]}\"\n            assert (\n                abs(Voigt[i, j] - C[l, k, m, n]) < tol\n            ), f\"Voigt[{i},{j}] = {Voigt[i, j]}, C[{k},{l},{m},{n}] = {C[l, k, m, n]}\"\n            assert (\n                abs(Voigt[i, j] - C[k, l, n, m]) < tol\n            ), f\"Voigt[{i},{j}] = {Voigt[i, j]}, C[{k},{l},{n},{m}] = {C[k, l, n, m]}\"\n            assert (\n                abs(Voigt[i, j] - C[m, n, l, k]) < tol\n            ), f\"Voigt[{i},{j}] = {Voigt[i, j]}, C[{m},{n},{l},{k}] = {C[m, n, l, k]}\"\n            assert (\n                abs(Voigt[i, j] - C[n, m, k, l]) < tol\n            ), f\"Voigt[{i},{j}] = {Voigt[i, j]}, C[{n},{m},{k},{l}] = {C[n, m, k, l]}\"\n            assert (\n                abs(Voigt[i, j] - C[l, k, n, m]) < tol\n            ), f\"Voigt[{i},{j}] = {Voigt[i, j]}, C[{l},{k},{n},{m}] = {C[l, k, n, m]}\"\n            assert (\n                abs(Voigt[i, j] - C[n, m, l, k]) < tol\n            ), f\"Voigt[{i},{j}] = {Voigt[i, j]}, C[{n},{m},{l},{k}] = {C[n, m, l, k]}\"\n\n    return Voigt\n\n\ndef Voigt_6x6_to_cubic(C):\n    \"\"\"\n    Convert the Voigt 6x6 representation into the cubic elastic constants\n    C11, C12 and C44.\n    \"\"\"\n\n    tol = 1e-6\n\n    C_check = np.zeros_like(C)\n    C_check[np.diag_indices_from(C_check)] = C[np.diag_indices_from(C)]\n    C_check[0:3, 0:3] = C[0:3, 0:3]\n    if np.any(np.abs(C - C_check) > tol):\n        raise ValueError('\"C\" does not have cubic symmetry.')\n\n    C11s = np.array([C[0, 0], C[1, 1], C[2, 2]])\n    C12s = np.array([C[1, 2], C[0, 2], C[0, 1]])\n    C44s = np.array([C[3, 3], C[4, 4], C[5, 5]])\n\n    C11 = np.mean(C11s)\n    C12 = np.mean(C12s)\n    C44 = np.mean(C44s)\n\n    if np.any(np.abs(C11 - C11s) > tol) or np.any(np.abs(C12 - C12s) > tol) or np.any(np.abs(C44 - C44s) > tol):\n        raise ValueError('\"C\" does not have cubic symmetry.')\n\n    return np.array([C11, C12, C44])\n\n\ndef cubic_to_Voigt_6x6(C11, C12, C44):\n    return np.array(\n        [\n            [C11, C12, C12, 0, 0, 0],\n            [C12, C11, C12, 0, 0, 0],\n            [C12, C12, C11, 0, 0, 0],\n            [0, 0, 0, C44, 0, 0],\n            [0, 0, 0, 0, C44, 0],\n            [0, 0, 0, 0, 0, C44],\n        ]\n    )\n\n\ndef _invariants(\n    s,\n    syy=None,\n    szz=None,\n    syz=None,\n    sxz=None,\n    sxy=None,\n    full_3x3_to_Voigt_6=full_3x3_to_Voigt_6_stress,\n):\n    \"\"\"\n    Receives a list of stress tensors and returns the three tensor invariants.\n    \"\"\"\n    if syy is None:\n        s = np.asarray(s)\n        if s.shape == (6,):\n            s = s.reshape(1, -1)\n        elif s.shape == (3, 3) or s.shape[-1] == 3 and s.shape[-2] == 3:\n            s = full_3x3_to_Voigt_6(s)\n    else:\n        s = np.transpose(\n            [\n                np.transpose(s),\n                np.transpose(syy),\n                np.transpose(szz),\n                np.transpose(syz),\n                np.transpose(sxz),\n                np.transpose(sxy),\n            ]\n        )\n    I1 = s[..., 0] + s[..., 1] + s[..., 2]\n    I2 = (\n        s[..., 0] * s[..., 1]\n        + s[..., 1] * s[..., 2]\n        + s[..., 2] * s[..., 0]\n        - s[..., 3] ** 2\n        - s[..., 4] ** 2\n        - s[..., 5] ** 2\n    )\n    I3 = (\n        s[..., 0] * s[..., 1] * s[..., 2]\n        + 2 * s[..., 3] * s[..., 4] * s[..., 5]\n        - s[..., 3] ** 2 * s[..., 2]\n        - s[..., 4] ** 2 * s[..., 0]\n        - s[..., 5] ** 2 * s[..., 1]\n    )\n\n    return I1, I2, I3\n\n\ndef invariants(\n    s,\n    syy=None,\n    szz=None,\n    syz=None,\n    sxz=None,\n    sxy=None,\n    full_3x3_to_Voigt_6=full_3x3_to_Voigt_6_stress,\n):\n    I1, I2, I3 = _invariants(\n        s,\n        syy=syy,\n        szz=szz,\n        syz=syz,\n        sxz=sxz,\n        sxy=sxy,\n        full_3x3_to_Voigt_6=full_3x3_to_Voigt_6,\n    )\n\n    J2 = I1**2 / 3 - I2\n    J3 = 2 * I1**3 / 27 - I1 * I2 / 3 + I3\n\n    # Return hydrostatic pressure, octahedral shear stress and J3\n    return -I1 / 3, np.sqrt(2 * J2 / 3), J3\n\n\n###\n\n\ndef rotate_cubic_elastic_constants(C11, C12, C44, A, tol=1e-6):\n    \"\"\"\n    Return rotated elastic moduli for a cubic crystal given the elastic\n    constant in standard C11, C12, C44 notation.\n\n    Parameters\n    ----------\n    C11, C12, C44 : float\n        Cubic elastic moduli.\n    A : array_like\n        3x3 rotation matrix.\n\n    Returns\n    -------\n    C : array\n        6x6 matrix of rotated elastic constants (Voigt notation).\n    \"\"\"\n\n    A = np.asarray(A)\n\n    # Is this a rotation matrix?\n    if any(np.abs(np.dot(np.array(A), np.transpose(np.array(A))) - np.eye(3, dtype=float)) > tol):\n        raise RuntimeError(\"Matrix *A* does not describe a rotation.\")\n\n    # Invariant elastic constants\n    la = C12\n    mu = C44\n    al = C11 - la - 2 * mu\n\n    # Construct rotated C in Voigt notation\n    C = []\n    for i, j in Voigt_notation:\n        for k, l in Voigt_notation:\n            h = 0.0\n            if i == j and k == l:\n                h += la\n            if i == k and j == l:\n                h += mu\n            if i == l and j == k:\n                h += mu\n            h += al * np.sum(A[i, :] * A[j, :] * A[k, :] * A[l, :])\n            C += [h]\n\n    C = np.array(C)\n    C.shape = (6, 6)\n    return C\n\n\n###\n\n\ndef rotate_elastic_constants(C, A, tol=1e-6):\n    \"\"\"\n    Return rotated elastic moduli for a general crystal given the elastic\n    constant in Voigt notation.\n\n    Parameters\n    ----------\n    C : array_like\n        6x6 matrix of elastic constants (Voigt notation).\n    A : array_like\n        3x3 rotation matrix.\n\n    Returns\n    -------\n    C : array\n        6x6 matrix of rotated elastic constants (Voigt notation).\n    \"\"\"\n\n    A = np.asarray(A)\n\n    # Is this a rotation matrix?\n    if any(np.abs(np.dot(np.array(A), np.transpose(np.array(A))) - np.eye(3, dtype=float)) > tol):\n        raise RuntimeError(\"Matrix *A* does not describe a rotation.\")\n\n    # Rotate\n    return full_3x3x3x3_to_Voigt_6x6(np.einsum(\"ia,jb,kc,ld,abcd->ijkl\", A, A, A, A, Voigt_6x6_to_full_3x3x3x3(C)))\n\n\n###\n\n\nclass CubicElasticModuli:\n    tol = 1e-6\n\n    def __init__(self, C11, C12, C44):\n        \"\"\"\n        Initialize a cubic system with elastic constants C11, C12, C44\n        \"\"\"\n\n        warnings.warn(\"CubicElasticModuli is deprecated. Use rotate_elastic_constants function instead.\")\n\n        # la, mu, al are the three invariant elastic constants\n        self.la = C12\n        self.mu = C44\n        self.al = C11 - self.la - 2 * self.mu\n\n        A = np.eye(3, dtype=float)\n\n        # Compute initial stiffness matrix\n        self.rotate(A)\n\n    def rotate(self, A):\n        \"\"\"\n        Compute the rotated stiffness matrix\n        \"\"\"\n\n        A = np.asarray(A)\n\n        # Is this a rotation matrix?\n        if any(np.abs(np.dot(np.array(A), np.transpose(np.array(A))) - np.eye(3, dtype=float)) > self.tol):\n            raise RuntimeError(\"Matrix *A* does not describe a rotation.\")\n\n        C = []\n        for i, j in Voigt_notation:\n            for k, l in Voigt_notation:\n                h = 0.0\n                if i == j and k == l:\n                    h += self.la\n                if i == k and j == l:\n                    h += self.mu\n                if i == l and j == k:\n                    h += self.mu\n                h += self.al * np.sum(A[i, :] * A[j, :] * A[k, :] * A[l, :])\n                C += [h]\n\n        self.C = np.asarray(C)\n        self.C.shape = (6, 6)\n        return self.C\n\n    def _rotate_explicit(self, A):\n        \"\"\"\n        Compute the rotated stiffness matrix by applying the rotation to the\n        full stiffness matrix. This function is for debugging purposes only.\n        \"\"\"\n\n        A = np.asarray(A)\n\n        # Is this a rotation matrix?\n        if any(np.abs(np.dot(np.array(A), np.transpose(np.array(A))) - np.eye(3, dtype=float)) > self.tol):\n            raise RuntimeError(\"Matrix *A* does not describe a rotation.\")\n\n        C = np.zeros((3, 3, 3, 3), dtype=float)\n\n        # Construct unrotated stiffness matrix\n        for i in range(3):\n            for j in range(3):\n                for k in range(3):\n                    for m in range(3):\n                        h = 0.0\n                        if i == j and k == m:\n                            h += self.la\n                        if i == k and j == m:\n                            h += self.mu\n                        if i == m and j == k:\n                            h += self.mu\n                        if i == j and j == k and k == m:\n                            h += self.al\n                        C[i, j, k, m] = h\n\n        # Rotate\n        C = np.einsum(\"ia,jb,kc,ld,abcd->ijkl\", A, A, A, A, C)\n\n        self.C = full_3x3x3x3_to_Voigt_6x6(C)\n        return self.C\n\n    def stiffness(self):\n        \"\"\"\n        Return the elastic constants\n        \"\"\"\n\n        return self.C\n\n    def compliance(self):\n        \"\"\"\n        Return the compliance coefficients\n        \"\"\"\n\n        return inv(self.C)\n\n\n###\n\n\ndef measure_triclinic_elastic_constants(a, delta=0.001, optimizer=None, logfile=None, **kwargs):\n    \"\"\"\n    Brute-force measurement of elastic constants for a triclinic (general)\n    unit cell.\n\n    Parameters\n    ----------\n    a : ase.Atoms\n        Atomic configuration.\n    optimizer : ase.optimizer.*\n        Optimizer to use for atomic position. Does not optimize atomic\n        position if set to None.\n    delta : float\n        Strain increment for analytical derivatives of stresses.\n\n    Returns\n    -------\n    C : array_like\n        6x6 matrix of the elastic constants in Voigt notation.\n    \"\"\"\n\n    if optimizer is not None:\n        optimizer(a, logfile=logfile).run(**kwargs)\n\n    r0 = a.positions.copy()\n\n    cell = a.cell.copy()\n    volume = a.get_volume()\n\n    C = np.zeros((3, 3, 3, 3), dtype=float)\n    for i in range(3):\n        for j in range(3):\n            a.set_cell(cell, scale_atoms=True)\n            a.set_positions(r0)\n\n            D = np.eye(3)\n            D[i, j] += 0.5 * delta\n            D[j, i] += 0.5 * delta\n            a.set_cell(np.dot(D, cell.T).T, scale_atoms=True)\n            if optimizer is not None:\n                optimizer(a, logfile=logfile).run(**kwargs)\n            sp = Voigt_6_to_full_3x3_stress(a.get_stress() * a.get_volume())\n\n            D = np.eye(3)\n            D[i, j] -= 0.5 * delta\n            D[j, i] -= 0.5 * delta\n            a.set_cell(np.dot(D, cell.T).T, scale_atoms=True)\n            if optimizer is not None:\n                optimizer(a, logfile=logfile).run(**kwargs)\n            sm = Voigt_6_to_full_3x3_stress(a.get_stress() * a.get_volume())\n\n            C[:, :, i, j] = (sp - sm) / (2 * delta * volume)\n\n    a.set_cell(cell, scale_atoms=True)\n    a.set_positions(r0)\n\n    return full_3x3x3x3_to_Voigt_6x6(C)\n\n\nCij_symmetry = {\n    \"cubic\": np.array(\n        [\n            [1, 7, 7, 0, 0, 0],\n            [7, 1, 7, 0, 0, 0],\n            [7, 7, 1, 0, 0, 0],\n            [0, 0, 0, 4, 0, 0],\n            [0, 0, 0, 0, 4, 0],\n            [0, 0, 0, 0, 0, 4],\n        ]\n    ),\n    \"trigonal_high\": np.array(\n        [\n            [1, 7, 8, 9, 10, 0],\n            [7, 1, 8, 0, -9, 0],\n            [8, 8, 3, 0, 0, 0],\n            [9, -9, 0, 4, 0, 0],\n            [10, 0, 0, 0, 4, 0],\n            [0, 0, 0, 0, 0, 6],\n        ]\n    ),\n    \"trigonal_low\": np.array(\n        [\n            [1, 7, 8, 9, 10, 0],\n            [7, 1, 8, -9, -10, 0],\n            [8, 8, 3, 0, 0, 0],\n            [9, -9, 0, 4, 0, -10],\n            [10, -10, 0, 0, 4, 9],\n            [0, 0, 0, -10, 9, 6],\n        ]\n    ),\n    \"tetragonal_high\": np.array(\n        [\n            [1, 7, 8, 0, 0, 0],\n            [7, 1, 8, 0, 0, 0],\n            [8, 8, 3, 0, 0, 0],\n            [0, 0, 0, 4, 0, 0],\n            [0, 0, 0, 0, 4, 0],\n            [0, 0, 0, 0, 0, 6],\n        ]\n    ),\n    \"tetragonal_low\": np.array(\n        [\n            [1, 7, 8, 0, 0, 11],\n            [7, 1, 8, 0, 0, -11],\n            [8, 8, 3, 0, 0, 0],\n            [0, 0, 0, 4, 0, 0],\n            [0, 0, 0, 0, 4, 0],\n            [11, -11, 0, 0, 0, 6],\n        ]\n    ),\n    \"orthorhombic\": np.array(\n        [\n            [1, 7, 8, 0, 0, 0],\n            [7, 2, 12, 0, 0, 0],\n            [8, 12, 3, 0, 0, 0],\n            [0, 0, 0, 4, 0, 0],\n            [0, 0, 0, 0, 5, 0],\n            [0, 0, 0, 0, 0, 6],\n        ]\n    ),\n    \"monoclinic\": np.array(\n        [\n            [1, 7, 8, 0, 10, 0],\n            [7, 2, 12, 0, 14, 0],\n            [8, 12, 3, 0, 17, 0],\n            [0, 0, 0, 4, 0, 20],\n            [10, 14, 17, 0, 5, 0],\n            [0, 0, 0, 20, 0, 6],\n        ]\n    ),\n    \"triclinic\": np.array(\n        [\n            [1, 7, 8, 9, 10, 11],\n            [7, 2, 12, 13, 14, 15],\n            [8, 12, 3, 16, 17, 18],\n            [9, 13, 16, 4, 19, 20],\n            [10, 14, 17, 19, 5, 21],\n            [11, 15, 18, 20, 21, 6],\n        ]\n    ),\n}\n\n\ndef _dec(pattern):\n    # Decrease C_ij indices patterns by one.\n    # Used to make strain_patterns definitions below more readable.\n    return [(i - 1, j - 1) for (i, j) in pattern]\n\n\nstrain_patterns = {\n    \"cubic\": [\n        # strain pattern e1+e4, yields C11, C21, C31 and C44, then C12 is average of C21 and C31\n        [np.array([1, 0, 0, 1, 0, 0]), _dec([(1, 1), (2, 1), (3, 1), (4, 4)])]\n    ],\n    \"trigonal_high\": [\n        # strain pattern e3 yield C13, C23 and C33\n        [np.array([0, 0, 1, 0, 0, 0]), _dec([(1, 3), (2, 3), (3, 3)])],\n        # strain pattern e1+e4 yields C11 C21 C31 and C44\n        [np.array([1, 0, 0, 1, 0, 0]), _dec([(1, 1), (2, 1), (3, 1), (4, 4)])],\n        # strain pattern e1 yields C11 C21 C31 C41 C51\n        [np.array([1, 0, 0, 0, 0, 0]), _dec([(1, 1), (2, 1), (3, 1), (4, 1), (5, 1)])],\n        # strain pattern e3+e4\n        [np.array([0, 0, 1, 1, 0, 0]), _dec([(3, 3), (4, 4)])],\n    ],\n    \"trigonal_low\": [\n        # strain pattern e1, yields C11, C21, C31, C41, C51\n        [np.array([1, 0, 0, 0, 0, 0]), _dec([(1, 1), (2, 1), (3, 1), (4, 1), (5, 1)])],\n        # strain pattern e3 + e4, yields C33, C44\n        [np.array([0, 0, 1, 1, 0, 0]), _dec([(3, 3), (4, 4)])],\n        [np.array([0, 0, 0, 0, 0, 1]), _dec([(6, 6)])],\n    ],\n    \"tetragonal\": [\n        # strain pattern e1+e4\n        [np.array([1, 0, 0, 1, 0, 0]), _dec([(1, 1), (2, 1), (3, 1), (6, 1), (4, 4)])],\n        # strain pattern e3+e6\n        [np.array([0, 0, 1, 0, 0, 1]), _dec([(3, 3), (6, 6)])],\n    ],\n    \"orthorhombic\": [\n        # strain pattern e1+e4\n        [np.array([1, 0, 0, 1, 0, 0]), _dec([(1, 1), (2, 1), (3, 1), (4, 4)])],\n        # strain pattern e2+e5\n        [np.array([0, 1, 0, 0, 1, 0]), _dec([(1, 2), (2, 2), (3, 2), (5, 5)])],\n        # strain pattern e3+e6\n        [np.array([0, 0, 1, 0, 0, 1]), _dec([(1, 3), (2, 3), (3, 3), (6, 6)])],\n    ],\n    \"monoclinic\": [\n        # strain pattern e1+e4\n        [\n            np.array([1, 0, 0, 1, 0, 0]),\n            _dec([(1, 1), (2, 1), (3, 1), (4, 4), (5, 1), (6, 4)]),\n        ],\n        # strain pattern e3+e6\n        [\n            np.array([0, 0, 1, 0, 0, 1]),\n            _dec([(1, 3), (2, 3), (3, 3), (5, 3), (4, 6), (6, 6)]),\n        ],\n        # strain pattern e2\n        [np.array([0, 1, 0, 0, 0, 0]), _dec([(1, 2), (2, 2), (3, 2), (5, 2)])],\n        # strain pattern e5\n        [np.array([0, 0, 0, 0, 1, 0]), _dec([(1, 5), (2, 5), (3, 5), (5, 5)])],\n    ],\n    \"triclinic\": [\n        [\n            np.array([1, 0, 0, 0, 0, 0]),\n            _dec([(1, 1), (2, 1), (3, 1), (4, 1), (5, 1), (6, 1)]),\n        ],\n        [\n            np.array([0, 1, 0, 0, 0, 0]),\n            _dec([(1, 2), (2, 2), (3, 2), (4, 2), (5, 2), (6, 2)]),\n        ],\n        [\n            np.array([0, 0, 1, 0, 0, 0]),\n            _dec([(1, 3), (2, 3), (3, 3), (4, 3), (5, 3), (6, 3)]),\n        ],\n        [\n            np.array([0, 0, 0, 1, 0, 0]),\n            _dec([(1, 4), (2, 4), (3, 4), (4, 4), (5, 4), (6, 4)]),\n        ],\n        [\n            np.array([0, 0, 0, 0, 1, 0]),\n            _dec([(1, 5), (2, 5), (3, 5), (4, 5), (5, 5), (6, 5)]),\n        ],\n        [\n            np.array([0, 0, 0, 0, 0, 1]),\n            _dec([(1, 6), (2, 6), (3, 6), (4, 6), (5, 6), (6, 6)]),\n        ],\n    ],\n}\n\nCij_symmetry[\"hexagonal\"] = Cij_symmetry[\"trigonal_high\"]\nCij_symmetry[None] = Cij_symmetry[\"triclinic\"]\n\nstrain_patterns[\"hexagonal\"] = strain_patterns[\"trigonal_high\"]\nstrain_patterns[\"tetragonal_high\"] = strain_patterns[\"tetragonal_low\"] = strain_patterns[\"tetragonal\"]\nstrain_patterns[None] = strain_patterns[\"triclinic\"]\n\n\ndef generate_strained_configs(at0, symmetry=\"triclinic\", N_steps=5, delta=1e-2):\n    \"\"\"\n    Generate a sequence of strained configurations\n\n    Parameters\n    ----------\n    a : ase.Atoms\n        Bulk crystal configuration - both unit cell and atomic positions\n        should be relaxed before calling this routine.\n    symmetry : string\n        Symmetry to use to determine which strain patterns are necessary.\n        Default is 'triclininc', i.e. no symmetry.\n    N_steps : int\n        Number of atomic configurations to generate for each strain pattern.\n        Default is 5. Absolute strain values range from -delta*N_steps/2\n        to +delta*N_steps/2.\n    delta : float\n        Strain increment for analytical derivatives of stresses. Default 1e-2\n\n    Returns\n    -------\n    Generator which yields a sequence of ase.Atoms instances corresponding\n    to the minima set of strained conifugurations required to evaluate the\n    full 6x6 C_ij matrix under the assumed symmetry.\n    \"\"\"\n\n    if symmetry not in strain_patterns:\n        raise ValueError(f\"Unknown symmetry {symmetry}. Valid options are {strain_patterns.keys()}\")\n\n    for _pindex, (pattern, _fit_pairs) in enumerate(strain_patterns[symmetry]):\n        for step in range(N_steps):\n            strain = np.where(pattern == 1, delta * (step + 1 - (N_steps + 1) / 2.0), 0.0)\n            at = at0.copy()\n            if at0.get_calculator() is not None:\n                at.set_calculator(at0.get_calculator())\n            T = Voigt_6_to_full_3x3_strain(strain)\n            at.set_cell(np.dot(T, at.cell.T).T, scale_atoms=False)\n            at.positions[:] = np.dot(T, at.positions.T).T\n            at.info[\"strain\"] = T\n            yield at\n\n\n# Elastic constant calculation.\n\n# Code adapted from elastics.py script, available from\n# http://github.com/djw/elastic-constants\n#\n# Copyright (c) 2008, Dan Wilson\n# All rights reserved.\n#\n# Redistribution and use in source and binary forms, with or without\n# modification, are permitted provided that the following conditions are met:\n#     * Redistributions of source code must retain the above copyright\n#       notice, this list of conditions and the following disclaimer.\n#     * Redistributions in binary form must reproduce the above copyright\n#       notice, this list of conditions and the following disclaimer in the\n#       documentation and/or other materials provided with the distribution.\n#     * Neither the name of the copyright holder nor the\n#       names of its contributors may be used to endorse or promote products\n#       derived from this software without specific prior written permission.\n#\n# THIS SOFTWARE IS PROVIDED BY DAN WILSON ''AS IS'' AND ANY\n# EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED\n# WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE\n# DISCLAIMED. IN NO EVENT SHALL DAN WILSON BE LIABLE FOR ANY\n# DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES\n# (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;\n# LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND\n# ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT\n# (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS\n# SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.\n\n\ndef fit_elastic_constants(\n    a,\n    symmetry=\"triclinic\",\n    N_steps=5,\n    delta=1e-2,\n    optimizer=None,\n    verbose=True,\n    GPa=True,\n    tag=\"test\",\n    graphics=False,\n    logfile=None,\n    **kwargs,\n):\n    \"\"\"\n    Compute elastic constants by linear regression of stress vs. strain\n\n    Parameters\n    ----------\n    a : ase.Atoms or list of ase.Atoms\n        Either a single atomic configuration or a list of strained\n        configurations. If a single configuration is given, it is\n        passed :func:`generate_strained_configs` along with `symmetry`, `N_steps`,\n        and `delta` to generate the set of strained configurations.\n    symmetry : string\n        Symmetry to use to determine which strain patterns are necessary.\n        Default is 'triclininc', i.e. no symmetry.\n    N_steps : int\n        Number of atomic configurations to generate for each strain pattern.\n        Default is 5. Absolute strain values range from -delta*N_steps/2\n        to +delta*N_steps/2.\n    delta : float\n        Strain increment for analytical derivatives of stresses.\n        Default is 1e-2.\n    optimizer : ase.optimizer.*\n        Optimizer to use for atomic positions (internal degrees of freedom)\n        for each applied strain. Initial config `a` is not optimised, and should\n        already have relaxed cell and atomic positions. Does not optimize atomic\n        positions if set to None.\n    verbose : bool\n        If True, print additional infomation about the quality of fit\n        and summarise results of C_ij and estimated errors. Default True.\n    GPa : bool\n        If True, convert to GPa\n    graphics : bool\n        If True, use :mod:`matplotlib.pyplot` to plot the stress vs. strain\n        curve for each C_ij component fitted. Default True.\n    logfile : bool\n        Log file to write optimizer output to. Default None (i.e. suppress\n        output).\n    **kwargs : dict\n        Additional arguments to pass to `optimizer.run()` method e.g. `fmax`.\n\n    Returns\n    -------\n    C : array_like\n        6x6 matrix of the elastic constants in Voigt notation.\n    C_err : array_like\n        If scipy.stats module is available then error estimates for each C_ij\n        component are obtained from the accuracy of the linear regression.\n        Otherwise an array of np.zeros((6,6)) is returned.\n\n    Notes\n    -----\n\n    Code originally adapted from elastics.py script, available from\n    http://github.com/djw/elastic-constants\n    \"\"\"\n\n    if isinstance(a, Atoms):\n        if a.constraints:\n            raise ValueError(\"Atoms passed to fit_elastic_constants() has constraints attached\")\n        # we've been passed a single Atoms object: use it to generate\n        # set of strained configurations according to symmetry\n        strained_configs = generate_strained_configs(a, symmetry, N_steps, delta)\n    else:\n        # assume we've been passed a list of strained configs\n        strained_configs = a\n\n    if graphics:\n        import matplotlib.pyplot as plt\n\n    def do_fit(index1, index2, stress, strain, patt):\n        if verbose:\n            print(\"Fitting C_%d%d\" % (index1 + 1, index2 + 1))\n            print(f\"Strain {strain[:, index2]!r}\")\n            print(\"Stress %r GPa\" % (stress[:, index1] / units.GPa))\n\n        if scipy_stats is not None:\n            cijFitted, intercept, r, tt, stderr = scipy_stats.linregress(strain[:, index2], stress[:, index1])\n        else:\n            cijFitted, intercept = np.polyfit(strain[:, index2], stress[:, index1], 1)\n            r, _tt, stderr = 0.0, None, 0.0\n\n        if verbose:\n            # print info about the fit\n            print(\"Cij (gradient) / GPa    :    \", cijFitted / units.GPa)\n            if scipy_stats is not None:\n                print(\"Error in Cij / GPa      :    \", stderr / units.GPa)\n                if abs(r) > 0.9:\n                    print(\"Correlation coefficient :    \", r)\n                else:\n                    print(\"Correlation coefficient :    \", r, \"     <----- WARNING\")\n            else:\n                print(\"scipy.stats not available, no error estimation performed\")\n\n        if graphics:\n            # position this plot in a 6x6 grid\n            sp = plt.subplot(6, 6, 6 * index1 + (index2 + 1))\n            sp.set_axis_on()\n\n            # change the labels on the axes\n            xlabels = sp.get_xticklabels()\n            plt.setp(xlabels, \"rotation\", 90, fontsize=7)\n            ylabels = sp.get_yticklabels()\n            plt.setp(ylabels, fontsize=7)\n\n            # colour the plot depending on the strain pattern\n            colourDict = {\n                0: \"#BAD0EF\",\n                1: \"#FFCECE\",\n                2: \"#BDF4CB\",\n                3: \"#EEF093\",\n                4: \"#FFA4FF\",\n                5: \"#75ECFD\",\n            }\n            sp.set_axis_bgcolor(colourDict[patt])\n\n            # plot the data\n            plt.plot(\n                [strain[0, index2], strain[-1, index2]],\n                [\n                    (cijFitted * strain[0, index2] + intercept) / units.GPa,\n                    (cijFitted * strain[-1, index2] + intercept) / units.GPa,\n                ],\n            )\n            plt.plot(strain[:, index2], stress[:, index1] / units.GPa, \"ro\")\n            plt.xticks(strain[:, index2])\n\n        return cijFitted, stderr\n\n    if symmetry not in strain_patterns:\n        raise ValueError(f\"Unknown symmetry {symmetry}. Valid options are {strain_patterns.keys()}\")\n\n    # There are 21 independent elastic constants\n    Cijs = {}\n    Cij_err = {}\n\n    # Construct mapping from (i,j) to index into Cijs in range 1..21\n    # (upper triangle only to start with)\n    Cij_map = {}\n    Cij_map_sym = {}\n    for i in range(6):\n        for j in range(i, 6):\n            Cij_map[(i, j)] = Cij_symmetry[None][i, j]\n            Cij_map_sym[(i, j)] = Cij_symmetry[symmetry][i, j]\n\n    # Reverse mapping, index 1..21 -> tuple (i,j) with i, j in range 0..5\n    Cij_rev_map = dict(zip(Cij_map.values(), Cij_map.keys()))\n\n    # Add the lower triangle to Cij_map, e.g. C21 = C12\n    for i1, i2 in Cij_map.copy():\n        Cij_map[(i2, i1)] = Cij_map[(i1, i2)]\n        Cij_map_sym[(i2, i1)] = Cij_map_sym[(i1, i2)]\n\n    N_pattern = len(strain_patterns[symmetry])\n    configs = iter(strained_configs)\n\n    strain = np.zeros((N_pattern, N_steps, 6))\n    stress = np.zeros((N_pattern, N_steps, 6))\n\n    if graphics:\n        fig = plt.figure(num=1, figsize=(9.5, 8), facecolor=\"white\")\n        fig.clear()\n        fig.subplots_adjust(left=0.07, right=0.97, top=0.97, bottom=0.07, wspace=0.5, hspace=0.5)\n\n        for index1 in range(6):\n            for index2 in range(6):\n                # position this plot in a 6x6 grid\n                sp = plt.subplot(6, 6, 6 * (index1) + index2 + 1)\n                sp.set_axis_off()\n                plt.text(0.4, 0.4, \"n/a\")\n\n    # Fill in strain and stress arrays from config Atoms list\n    with open(\"Detail-\" + tag + \".txt\", \"w\") as f:\n        for pattern_index, (_pattern, fit_pairs) in enumerate(strain_patterns[symmetry]):\n            for step in range(N_steps):\n                at = next(configs)\n                t0 = time()\n                E0 = at.get_potential_energy()\n                if optimizer is not None:\n                    optimizer(at, logfile=logfile).run(**kwargs)\n                else:\n                    # update position\n                    pos = read(\"geo_end.gen\").get_positions()\n                    at.set_positions(pos)\n                E1 = at.get_potential_energy()\n                fmax = np.abs(at.get_forces()).max()\n                t1 = time() - t0\n                strs = f\"\\n{tag:8s} {pattern_index:2d}/{step:2d}\\n\"\n                strs += f\"Eng:  {E0:.4f} -> {E1:.4f}, \"\n                strs += f\"dE: {E1 - E0:.4f}\\n\"\n                strs += f\"fmax: {fmax:.5f}\\n\"\n                strs += f\"time: {t1:.1f}\\n\"\n                strain_info = full_3x3_to_Voigt_6_strain(at.info[\"strain\"])\n                stress_info = at.get_stress()\n                strain[pattern_index, step, :] = strain_info\n                stress[pattern_index, step, :] = stress_info\n                # print(\"Cell\\n\", at.get_cell())\n                strs += \"Strain {:.3f} {:.3f} {:.3f} {:.3f} {:.3f} {:.3f}\\n\".format(*strain_info)\n                strs += \"Stress (GPa) {:.2f} {:.2f} {:.2f} {:.2f} {:.2f} {:.2f}\\n\".format(*(stress_info / units.GPa))\n                f.write(strs)\n                print(strs)\n\n    # Do the linear regression\n    for pattern_index, (_pattern, fit_pairs) in enumerate(strain_patterns[symmetry]):\n        for index1, index2 in fit_pairs:\n            fitted, err = do_fit(\n                index1,\n                index2,\n                stress[pattern_index, :, :],\n                strain[pattern_index, :, :],\n                pattern_index,\n            )\n\n            index = abs(Cij_map_sym[(index1, index2)])\n\n            if index not in Cijs:\n                if verbose:\n                    print(\"Setting C%d%d (%d) to %f +/- %f\" % (index1 + 1, index2 + 1, index, fitted, err))\n                Cijs[index] = [fitted]\n                Cij_err[index] = [err]\n            else:\n                if verbose:\n                    print(\"Updating C%d%d (%d) with value %f +/- %f\" % (index1 + 1, index2 + 1, index, fitted, err))\n                Cijs[index].append(fitted)\n                Cij_err[index].append(err)\n            if verbose:\n                print(\"\\n\")\n\n    C = np.zeros((6, 6))\n    C_err = np.zeros((6, 6))\n    C_labels = np.zeros((6, 6), dtype=\"S4\")\n    C_labels[:] = \"    \"\n\n    # Convert lists to mean\n    for k in Cijs:\n        Cijs[k] = np.mean(Cijs[k])\n\n    # Combine statistical errors\n    for k, v in Cij_err.items():\n        Cij_err[k] = np.sqrt(np.sum(np.array(v) ** 2)) / np.sqrt(len(v))\n\n    if symmetry.startswith(\"trigonal\"):\n        # Special case for trigonal lattice: C66 = (C11 - C12)/2\n        Cijs[Cij_map[(5, 5)]] = 0.5 * (Cijs[Cij_map[(0, 0)]] - Cijs[Cij_map[(0, 1)]])\n        Cij_err[Cij_map[(5, 5)]] = np.sqrt(Cij_err[Cij_map[(0, 0)]] ** 2 + Cij_err[Cij_map[(0, 1)]] ** 2)\n\n    # Generate the 6x6 matrix of elastic constants\n    # - negative values signify a symmetry relation\n    for i in range(6):\n        for j in range(6):\n            index = Cij_symmetry[symmetry][i, j]\n            if index > 0:\n                C[i, j] = Cijs[index]\n                C_err[i, j] = Cij_err[index]\n                ii, jj = Cij_rev_map[index]\n                C_labels[i, j] = \" C%d%d\" % (ii + 1, jj + 1)\n                C_err[i, j] = Cij_err[index]\n            elif index < 0:\n                C[i, j] = -Cijs[-index]\n                C_err[i, j] = Cij_err[-index]\n                ii, jj = Cij_rev_map[-index]\n                C_labels[i, j] = \"-C%d%d\" % (ii + 1, jj + 1)\n    if GPa:\n        C /= units.GPa\n        C_err /= units.GPa\n\n    if verbose:\n        print(np.array2string(C_labels).replace(\"'\", \"\"))\n        print(\"\\n = \\n\")\n        print(np.array2string(C / units.GPa, suppress_small=True, precision=2))\n        # Summarise the independent components of C_ij matrix\n        printed = {}\n        for i in range(6):\n            for j in range(6):\n                index = Cij_symmetry[symmetry][i, j]\n                if index <= 0 or index in printed:\n                    continue\n                print(\"C_%d%d = %-4.2f +/- %-4.2f GPa\" % (i + 1, j + 1, C[i, j] / units.GPa, C_err[i, j] / units.GPa))\n                printed[index] = 1\n\n    return C, C_err\n\n\ndef youngs_modulus(C, l):\n    \"\"\"\n    Calculate approximate Youngs modulus E_l from 6x6 elastic constants matrix C_ij\n\n    This is the modulus for loading in the l direction. For the exact answer, taking\n    into account elastic anisotropuy, rotate the C_ij matrix to the correct frame,\n    compute the compliance matrix::\n\n       C = ...  # 6x6 C_ij matrix in crystal frame\n       A = ...  # rotation matrix\n       Cr = rotate_elastic_constants(C, A)\n       S = np.inv(Cr)\n       E_x = 1/S[0, 0]  # Young's modulus for a pull in x direction\n       E_y = 1/S[1, 1]  # Young's modulus for a pull in y direction\n       E_z = 1/S[0, 0]  # Young's modulus for a pull in z direction\n\n    Notes\n    -----\n\n    Formula is from W. Brantley, Calculated elastic constants for stress problems associated\n    with semiconductor devices. J. Appl. Phys., 44, 534 (1973).\n    \"\"\"\n\n    S = inv(C)  # Compliance matrix\n    lhat = l / norm(l)  # Normalise directions\n\n    # Youngs modulus in direction l, ratio of stress sigma_l\n    # to strain response epsilon_l\n    return 1.0 / (\n        S[0, 0]\n        - 2.0\n        * (S[0, 0] - S[0, 1] - 0.5 * S[3, 3])\n        * (\n            lhat[0] * lhat[0] * lhat[1] * lhat[1]\n            + lhat[1] * lhat[1] * lhat[2] * lhat[2]\n            + lhat[0] * lhat[0] * lhat[2] * lhat[2]\n        )\n    )\n\n\ndef poisson_ratio(C, l, m):\n    \"\"\"\n    Calculate Poisson ratio \\nu_{lm} from 6x6 elastic constant C_{ij}.\n    The response in `m` direction to pulling in `l` direction. \n    Result is dimensionless.\n    Formula is from W. Brantley, Calculated elastic constants for stress problems associated\n    with semiconductor devices. J. Appl. Phys., 44, 534 (1973).\n    \"\"\"\n\n    S = inv(C)  # Compliance matrix\n    lhat = l / norm(l)  # Normalise directions\n    mhat = m / norm(m)\n\n    # Poisson ratio v_lm: response in m direction to strain in\n    # l direction, v_lm = - epsilon_m/epsilon_l\n    return -(\n        (\n            S[0, 1]\n            + (S[0, 0] - S[0, 1] - 0.5 * S[3, 3])\n            * (\n                lhat[0] * lhat[0] * mhat[0] * mhat[0]\n                + lhat[1] * lhat[1] * mhat[1] * mhat[1]\n                + lhat[2] * lhat[2] * mhat[2] * mhat[2]\n            )\n        )\n        / (\n            S[0, 0]\n            - 2.0\n            * (S[0, 0] - S[0, 1] - 0.5 * S[3, 3])\n            * (\n                lhat[0] * lhat[0] * lhat[1] * lhat[1]\n                + lhat[1] * lhat[1] * lhat[2] * lhat[2]\n                + lhat[0] * lhat[0] * lhat[2] * lhat[2]\n            )\n        )\n    )\n\n\ndef elastic_moduli(C, l=np.array([1, 0, 0]), R=None, tol=1e-6):\n    \"\"\"\n    Calculate elastic moduli from 6x6 elastic constant matrix C_{ij}.\n\n    The elastic moduli calculated are: Young's muduli, Poisson's ratios,\n    shear moduli, bulk mudulus and bulk mudulus tensor.\n\n    If a direction l is specified, the system is rotated to have it as its\n    x direction (see Notes for details). If R is specified the system is\n    rotated according to it.\n\n    Parameters\n    ----------\n    C : array_like\n        6x6 stiffness matrix (Voigt notation).\n    l : array_like, optional\n        3D direction vector for pull (the default is the x direction\n        of the original system)\n    R : array_like, optional\n        3x3 rotation matrix.\n\n    Returns\n    -------\n    E : array_like\n        Young's modulus for a stress in each of the three directions\n        of the rotated system.\n    nu : array_like\n         3x3 matrix with Poisson's ratios.\n    Gm : array_like\n         3x3 matrix with shear moduli.\n    B : float\n        Bulk modulus.\n    K : array_like\n        3x3 matrix with bulk modulus tensor.\n\n    Other Parameters\n    ----------------\n    tol : float, optional\n        tolerance for checking validity of rotation and comparison\n        of vectors.\n\n    Notes\n    ---\n    It works by rotating the elastic constant tensor to the desired\n    direction, so it should be valid for arbitrary crystal structures.\n    If only l is specified there is an infinite number of possible\n    rotations. The chosen one is a rotation along the axis orthogonal\n    to the plane defined by the vectors (1, 0, 0) and l.\n\n    Bulk modulus tensor as defined in\n    O. Rand and V. Rovenski, \"Analytical Methods in Anisotropic\n    Elasticity\", Birkh\\\"auser (2005), pp. 71.\n\n    \"\"\"\n\n    if R is not None:\n        R = np.asarray(R)\n\n        # Is this a rotation matrix?\n        if any(np.abs(np.dot(np.array(R), np.transpose(np.array(R))) - np.eye(3, dtype=float)) > tol):\n            raise RuntimeError(\"Matrix *R* does not describe a rotation.\")\n    else:\n        u_a = np.array([1, 0, 0])\n        u_b = l / norm(l)  # Normalise directions\n        R = np.eye(3)\n\n        if not np.allclose(l, u_a, rtol=tol, atol=tol):\n            u_v = np.cross(u_a, u_b)\n            u_v_mat = np.array([[0, -u_v[2], u_v[1]], [u_v[2], 0, -u_v[0]], [-u_v[1], u_v[0], 0]])\n\n            R = R + u_v_mat + np.dot(u_v_mat, u_v_mat) * (1 - np.dot(u_a, u_b)) / np.linalg.norm(u_v) ** 2\n\n    Cr = rotate_elastic_constants(C, R)\n    S = np.linalg.inv(Cr)\n\n    # Young's modulus for a stress in \\alpha direction; \\alpha = x, y, z\n    E = np.zeros(3)\n    E[0] = 1 / S[0, 0]\n    E[1] = 1 / S[1, 1]\n    E[2] = 1 / S[2, 2]\n\n    # Poisson's ratio ($\\alpha$, $\\beta$); $\\alpha$, $\\beta$ = x, y, z\n    nu = np.array(\n        [\n            [-1, -S[1, 0] / S[0, 0], -S[2, 0] / S[0, 0]],\n            [-S[0, 1] / S[1, 1], -1, -S[2, 1] / S[1, 1]],\n            [-S[0, 2] / S[2, 2], -S[1, 2] / S[2, 2], -1],\n        ]\n    )\n\n    # Shear modulus ($\\alpha$, $\\beta$); $\\alpha$, $\\beta$ = x, y, z\n    G = np.zeros(3)\n    G[0] = 1 / S[3, 3]  # Shear modulus yz\n    G[1] = 1 / S[4, 4]  # Shear modulus zx\n    G[2] = 1 / S[5, 5]  # Shear modulus xy\n    Gm = np.array([[E[0] / 4, G[2], G[1]], [G[2], E[1] / 4, G[0]], [G[1], G[0], E[2] / 4]])\n\n    # Bulk modulus\n    B = 1 / np.sum(S[0:3, 0:3])\n\n    # Bulk modulus tensor\n    Crt = Voigt_6x6_to_full_3x3x3x3(Cr)\n    K = np.einsum(\"ijkk\", Crt)\n\n    return E, nu, Gm, B, K\n\n\ndef elastic_properties(C):\n    \"\"\"\n    A quick summary of elastic properties from the 6*6 matrix\n    \"\"\"\n    Kv = C[:3, :3].mean()\n    Gv = (C[0, 0] + C[1, 1] + C[2, 2] - (C[0, 1] + C[1, 2] + C[2, 0]) + 3 * (C[3, 3] + C[4, 4] + C[5, 5])) / 15\n    Ev = 1 / ((1 / (3 * Gv)) + (1 / (9 * Kv)))\n    vv = 0.5 * (1 - ((3 * Gv) / (3 * Kv + Gv)))\n    S = np.linalg.inv(C)\n    Kr = 1 / ((S[0, 0] + S[1, 1] + S[2, 2]) + 2 * (S[0, 1] + S[1, 2] + S[2, 0]))\n    Gr = 15 / (\n        4 * (S[0, 0] + S[1, 1] + S[2, 2]) - 4 * (S[0, 1] + S[1, 2] + S[2, 0]) + 3 * (S[3, 3] + S[4, 4] + S[5, 5])\n    )\n    Er = 1 / ((1 / (3 * Gr)) + (1 / (9 * Kr)))\n    vr = 0.5 * (1 - ((3 * Gr) / (3 * Kr + Gr)))\n\n    Kh = (Kv + Kr) / 2\n    Gh = (Gv + Gr) / 2\n    Eh = (Ev + Er) / 2\n    vh = (vv + vr) / 2\n    return Kv, Gv, Ev, vv, Kr, Gr, Er, vr, Kh, Gh, Eh, vh\n"
  },
  {
    "path": "pyxtal/interface/Installation.md",
    "content": "## GULP instruction\n```\n$ export PATH=/scratch/qzhu/pkgs/gulp-5.2/Src:$PATH\n$ export GULP_LIB=/scratch/qzhu/pkgs/gulp-5.2/Libraries\n```\n"
  },
  {
    "path": "pyxtal/interface/LATTE_templates/MDcontroller",
    "content": "MAXITER= 1000\nUDNEIGH= 25\nDT= 0.25\nTEMPERATURE= 300.0 RNDIST= GAUSSIAN SEEDINIT= UNIFORM\nDUMPFREQ= 250\nRSFREQ= 5000\nWRTFREQ= 20\nTOINITTEMP5= 1\nTHERMPER= 500\nTHERMRUN= 100000\nNVTON= 5 NPTON= 0 AVEPER= 1000  FRICTION= 1000.0 SEED= 54\nPTARGET= 1.0 NPTTYPE= ISO\nSHOCKON= 0\nSHOCKSTART= 100000\nSHOCKDIR= 1\nUPARTICLE= 500.0 USHOCK= -4590.0 C0= 1300.0\nMDADAPT= 0\nGETHUG= 0 E0= -1439.76  V0= 2959.6056192814552 P0= 0.128777\n"
  },
  {
    "path": "pyxtal/interface/LATTE_templates/TBparam/bondints.nonortho",
    "content": "Noints= 34\nElement1 Element2  Kind     H0   B1      B2        B3           B4         B5  R1     Rcut H0   B1      B2        B3           B4         B5  R1     Rcut\nC C sss  -8.934050 -1.604058 -0.520371 0.000000 -0.000000 1.400000 5.000000 5.500000 0.343720 -1.488604 -0.487281 0.055159 -0.006759 1.400000 5.000000 5.500000 \nC C sps  8.391509 -0.864267 -0.747101 0.000000 -0.000000 1.400000 5.000000 5.500000 -0.390127 -0.988150 -0.742529 0.192232 -0.038713 1.400000 5.000000 5.500000 \nC C pps  6.395707 -0.707833 -0.504416 0.000000 -0.000000 1.400000 5.000000 5.500000 -0.333411 0.070281 -1.873111 1.001934 -0.248703 1.400000 5.000000 5.500000 \nC C ppp  -3.517340 -1.883201 -0.077008 0.000000 -0.000000 1.400000 5.000000 5.500000 0.209485 -1.849528 -0.382195 0.041854 -0.007993 1.400000 5.000000 5.500000 \nN N sss  -5.707074 -2.306020 -0.273939 0.000000 -0.000000 1.500000 5.000000 5.500000 0.214793 -1.922919 -0.484915 0.079605 -0.016140 1.500000 5.000000 5.500000 \nN N sps  7.549866 -1.456625 -0.462899 0.000000 -0.000000 1.500000 5.000000 5.500000 -0.280782 -1.461806 -0.658868 0.184148 -0.045965 1.500000 5.000000 5.500000 \nN N pps  6.497746 -1.294480 -0.324354 0.000000 -0.000000 1.500000 5.000000 5.500000 -0.284850 -0.696498 -1.300096 0.709604 -0.206469 1.500000 5.000000 5.500000 \nN N ppp  -2.740779 -2.249729 -0.096116 0.000000 -0.000000 1.500000 5.000000 5.500000 0.127020 -2.153332 -0.355743 0.037623 -0.008967 1.500000 5.000000 5.500000 \nO O sss  -14.937277 -1.614961 -0.339180 0.000000 -0.000000 1.200000 5.000000 5.500000 0.282381 -1.963517 -0.596227 0.127360 -0.025179 1.200000 5.000000 5.500000 \nO O sps  13.700053 -1.854109 -0.332985 0.000000 -0.000000 1.200000 5.000000 5.500000 -0.344630 -1.366777 -0.834614 0.247931 -0.052705 1.200000 5.000000 5.500000 \nO O pps  9.001815 -1.460299 -0.268820 0.000000 -0.000000 1.200000 5.000000 5.500000 -0.290473 -0.248901 -1.733179 0.798610 -0.182073 1.200000 5.000000 5.500000 \nO O ppp  -5.107343 -2.099762 -0.046522 0.000000 -0.000000 1.200000 5.000000 5.500000 0.178501 -2.194056 -0.388997 0.045256 -0.009246 1.200000 5.000000 5.500000 \nC O sss  -11.005303 -1.978634 -0.454607 0.000000 -0.000000 1.200000 5.000000 5.500000 0.363767 -1.567417 -0.578872 0.096984 -0.015546 1.200000 5.000000 5.500000 \nC O sps  9.800910 -1.179193 -0.394262 0.000000 -0.000000 1.200000 5.000000 5.500000 -0.359462 -0.857862 -0.926813 0.267938 -0.050923 1.200000 5.000000 5.500000 \nO C sps  13.727062 -1.387462 -0.346539 0.000000 -0.000000 1.200000 5.000000 5.500000 -0.442630 -1.081792 -0.815689 0.217586 -0.042192 1.200000 5.000000 5.500000 \nC O pps  8.337188 -0.888428 -0.493834 0.000000 -0.000000 1.200000 5.000000 5.500000 -0.298197 0.340651 -2.095903 0.981487 -0.212677 1.200000 5.000000 5.500000 \nC O ppp  -5.023209 -2.142009 -0.109942 0.000000 -0.000000 1.200000 5.000000 5.500000 0.230948 -1.917887 -0.404058 0.047634 -0.008733 1.200000 5.000000 5.500000 \nC N sss  -7.016284 -2.145166 -0.493367 0.000000 -0.000000 1.500000 5.000000 5.500000 0.253524 -1.742054 -0.483621 0.066958 -0.011254 1.500000 5.000000 5.500000 \nC N sps  7.729578 -1.402928 -0.674396 0.000000 -0.000000 1.500000 5.000000 5.500000 -0.302838 -1.236485 -0.697479 0.192271 -0.044565 1.500000 5.000000 5.500000 \nN C sps  8.383196 -1.502518 -0.426192 0.000000 -0.000000 1.500000 5.000000 5.500000 -0.327300 -1.337970 -0.658645 0.172226 -0.040512 1.500000 5.000000 5.500000 \nC N pps  6.152442 -0.943910 -0.495091 0.000000 -0.000000 1.500000 5.000000 5.500000 -0.306999 -0.484299 -1.437805 0.801708 -0.226829 1.500000 5.000000 5.500000 \nC N ppp  -2.854177 -2.054023 -0.102927 0.000000 -0.000000 1.500000 5.000000 5.500000 0.148675 -2.034035 -0.364707 0.038393 -0.008457 1.500000 5.000000 5.500000 \nN O sss  -9.800110 -2.389434 -0.427942 0.000000 -0.000000 1.200000 5.000000 5.500000 0.322615 -1.772266 -0.584180 0.113994 -0.020655 1.200000 5.000000 5.500000 \nN O sps  10.697957 -1.408732 -0.530055 0.000000 -0.000000 1.200000 5.000000 5.500000 -0.357853 -1.133974 -0.870166 0.257093 -0.051703 1.200000 5.000000 5.500000 \nO N sps  11.422880 -1.038934 -0.320181 0.000000 -0.000000 1.200000 5.000000 5.500000 -0.393584 -1.223014 -0.820414 0.233193 -0.047389 1.200000 5.000000 5.500000 \nN O pps  8.884051 -1.188542 -0.400780 0.000000 -0.000000 1.200000 5.000000 5.500000 -0.298451 0.023080 -1.883157 0.874215 -0.193692 1.200000 5.000000 5.500000 \nN O ppp  -4.735483 -2.221835 -0.071803 0.000000 -0.000000 1.200000 5.000000 5.500000 0.204625 -2.055114 -0.392109 0.047073 -0.009193 1.200000 5.000000 5.500000 \nH C sss  -9.355801 -1.312466 -0.697473 0.000000 -0.000000 1.100000 5.000000 5.500000 0.402044 -1.504587 -0.627071 0.078410 -0.009699 1.100000 5.000000 5.500000 \nH C sps  7.623792 -0.970945 -0.448309 0.000000 -0.000000 1.100000 5.000000 5.500000 -0.483327 -0.960315 -0.992701 0.385761 -0.110502 1.100000 5.000000 5.500000 \nH N sss  -11.722444 -1.503544 -0.624941 0.000000 -0.000000 1.000000 5.000000 5.500000 0.428682 -1.583978 -0.681399 0.106288 -0.016236 1.000000 5.000000 5.500000 \nH N sps  9.348231 -1.216607 -0.426100 0.000000 -0.000000 1.000000 5.000000 5.500000 -0.481404 -0.890317 -1.126260 0.448262 -0.119891 1.000000 5.000000 5.500000 \nH O sss  -11.247450 -1.784903 -0.510711 0.000000 -0.000000 1.000000 5.000000 5.500000 0.389257 -1.773934 -0.716854 0.121158 -0.021296 1.000000 5.000000 5.500000 \nH O sps  9.307728 -1.303985 -0.383430 0.000000 -0.000000 1.000000 5.000000 5.500000 -0.433289 -1.029012 -1.143228 0.460892 -0.129739 1.000000 5.000000 5.500000 \nH H sss  -9.160773 -1.160165 -0.468804 0.000000 -0.000000 0.750000 5.000000 5.500000 0.561801 -1.452310 -0.815589 0.090827 -0.015928 0.750000 5.000000 5.500000 \n"
  },
  {
    "path": "pyxtal/interface/LATTE_templates/TBparam/control.in",
    "content": "Control= 1\nBASISTYPE= NONORTHO\nSCLTYPE= EXP\nDEBUGON= 0\nFERMIM= 6\nCGORLIB= 1 CGTOL= 1.0e-6\nKBT= 0.2\nNORECS= 1\nENTROPYKIND= 1\nPPOTON= 1 PLUSDON= 1\nSPINON= 0 SPINTOL= 1.0e-6\nELECTRO= 1 ELECMETH= 0  ELEC_ETOL= 0.001 ELEC_QTOL= 1.0e-6\nCOULACC= 1.0e-6 COULCUT= 12.0 COULR1= 50.0\nMAXSCF= 100\nBREAKTOL= 1.0E-6 MINSP2ITER= 22 SP2CONV= REL\nFULLQCONV= 1 QITER= 2\nQMIX= 0.05 SPINMIX= 0.1 MDMIX= 0.125\nORDERNMOL= 0\nSPARSEON= 0 THRESHOLDON= 1 NUMTHRESH= 1.0e-6 FILLINSTOP= 100 BLKSZ= 4\nMSPARSE= 3000\nLCNON= 0 LCNITER= 4 CHTOL= 0.01\nSKIN= 1.0\nRELAX= 1 RELAXTYPE= SD MAXITER= 30 RLXFTOL= 0.100\nMDON= 0\nPBCON= 1\nRESTART= 0\nCHARGE= 0\nXBO= 1\nXBODISON= 1\nXBODISORDER= 5\nNGPU= 1\nKON= 0\nCOMPFORCE= 1\nDOSFIT= 0 INTS2FIT= 1 BETA= 1000.0 NFITSTEP= 5000 QFIT= 0 MCSIGMA= 0.2\nPPFITON=  0\nALLFITON= 0\nPPSTEP= 500 BISTEP= 500 PP2FIT= 2 BINT2FIT= 6  \nPPBETA= 1000.0 PPSIGMA= 0.01 PPNMOL= 10 PPNGEOM= 200\nPARREP= 0\nER= 1.0\nNVTON=5\nRSFREQ= 1000\n"
  },
  {
    "path": "pyxtal/interface/LATTE_templates/TBparam/control.in.bak",
    "content": "Control= 1\nBASISTYPE= NONORTHO\nSCLTYPE= EXP\nDEBUGON= 0\nFERMIM= 6\nCGORLIB= 1 CGTOL= 1.0e-6\nKBT= 0.2\nNORECS= 1\nENTROPYKIND= 1\nPPOTON= 1 PLUSDON= 1\nSPINON= 0 SPINTOL= 1.0e-6\nELECTRO= 1 ELECMETH= 0  ELEC_ETOL= 0.001 ELEC_QTOL= 1.0e-6\nCOULACC= 1.0e-6 COULCUT= 12.0 COULR1= 50.0\nMAXSCF= 100\nBREAKTOL= 1.0E-6 MINSP2ITER= 22 SP2CONV= REL\nFULLQCONV= 1 QITER= 2\nQMIX= 0.05 SPINMIX= 0.1 MDMIX= 0.125\nORDERNMOL= 0\nSPARSEON= 0 THRESHOLDON= 1 NUMTHRESH= 1.0e-6 FILLINSTOP= 100 BLKSZ= 4\nMSPARSE= 3000\nLCNON= 0 LCNITER= 4 CHTOL= 0.01\nSKIN= 1.0\nRELAX=1\nMDON= 0\nPBCON= 1\nRESTART=1\nCHARGE= 0\nXBO= 1\nXBODISON= 1\nXBODISORDER= 5\nNGPU= 1\nKON= 0\nCOMPFORCE= 1\nDOSFIT= 0 INTS2FIT= 1 BETA= 1000.0 NFITSTEP= 5000 QFIT= 0 MCSIGMA= 0.2\nPPFITON=  0\nALLFITON= 0\nPPSTEP= 500 BISTEP= 500 PP2FIT= 2 BINT2FIT= 6  \nPPBETA= 1000.0 PPSIGMA= 0.01 PPNMOL= 10 PPNGEOM= 200\nPARREP= 0\nER= 1.0\nNVTON=5\n\n# --- Appended by LATTECalc ---\nMAXITER=300\nRLXFTOL=1.0E-03\n"
  },
  {
    "path": "pyxtal/interface/LATTE_templates/TBparam/ppots.nonortho",
    "content": "Nopps= 10\nEle1  Ele2  A0        A1      A2      A3       A4      A5       A6      C    R1  Rcut\nN O 0.585174 -13.630616 -16.729136 -16.589565 0.000000 1.200000 0.000000 0.000000 2.000000 2.500000 \nC N 0.148562 -13.512681 -14.280038 -9.118015 0.000000 1.500000 0.000000 0.000000 2.000000 2.500000 \nN N 0.032636 -18.399587 -19.546888 -10.810899 0.000000 1.500000 0.000000 0.000000 2.000000 2.500000 \nC O 1.670258 -9.549889 -10.137473 -12.295289 0.000000 1.200000 0.000000 0.000000 2.000000 2.500000 \nC C 0.309908 -13.092197 -15.134245 -10.913844 0.000000 1.400000 0.000000 0.000000 2.000000 2.500000 \nO O 2.572927 -7.103864 -6.904440 -12.090310 0.000000 1.200000 0.000000 0.000000 2.000000 2.500000 \nN H 0.968008 -8.760215 -8.873476 -11.230357 0.000000 1.000000 0.000000 0.000000 1.600000 2.000000 \nO H 0.508863 -11.440143 -16.239463 -23.819501 0.000000 1.000000 0.000000 0.000000 1.600000 2.000000 \nC H 0.206824 -14.019158 -21.991607 -25.118148 0.000000 1.100000 0.000000 0.000000 1.600000 2.000000 \nH H 0.204732 -16.086792 -24.718534 0.000000 0.000000 0.750000 0.000000 0.000000 1.200000 1.400000 \n"
  },
  {
    "path": "pyxtal/interface/LATTE_templates/TBparam/ppotsplusD.nonortho",
    "content": "noppd=           4\ns6=   1.0384807055937466\nganna=   23.000000000000000\nrcut= 12.0\nppele r0 c6\nC         1.981760173      17.100000000\nH         1.282315406       1.660000000\nN         1.806898982      11.500000000\nO         1.771926743       7.200000000\n\n"
  },
  {
    "path": "pyxtal/interface/LATTE_templates/alpha_match.cif",
    "content": "#############################################################\n#             ______       _    _          _                #\n#            (_____ \\     \\ \\  / /        | |               #\n#             _____) )   _ \\ \\/ / |_  ____| |               #\n#            |  ____/ | | | )  (|  _)/ _  | |               #\n#            | |    | |_| |/ /\\ \\ |_( (_| | |___            #\n#            |_|     \\__  /_/  \\_\\___)__|_|_____)           #\n#                   (____/                                  #\n#---------------------(version    1.1.0)--------------------#\n#       A Python package for random crystal generation      #\n#       url: https://github.com/qzhu2017/pyxtal             #\n#       @Zhu's group at University of Nevada Las Vegas      #\n#############################################################\ndata_1-d0.770-spg77-e24.076\n\n_symmetry_space_group_name_H-M 'P42'\n_symmetry_Int_Tables_number                   77\n_symmetry_cell_setting                tetragonal\n_cell_length_a           22.272039\n_cell_length_b           22.272039\n_cell_length_c            7.349282\n_cell_angle_alpha        90.000000\n_cell_angle_beta         90.000000\n_cell_angle_gamma        90.000000\n_cell_volume           3645.565192\n\nloop_\n _symmetry_equiv_pos_site_id\n _symmetry_equiv_pos_as_xyz\n1 'x, y, z'\n2 '-x, -y, z'\n3 '-y, x, z+1/2'\n4 'y, -x, z+1/2'\n\nloop_\n _atom_site_label\n _atom_site_type_symbol\n _atom_site_symmetry_multiplicity\n _atom_site_fract_x\n _atom_site_fract_y\n _atom_site_fract_z\n _atom_site_occupancy\nO      O        4     0.961000    0.637000    0.187000 1\nC      C        4     0.909000    0.654000    0.187000 1\nN      N        4     0.874000    0.666000    0.039000 1\nC      C        4     0.817000    0.686000    0.093000 1\nC      C        4     0.768000    0.706000   -0.009000 1\nC      C        4     0.718000    0.727000    0.090000 1\nC      C        4     0.718000    0.727000    0.284000 1\nC      C        4     0.768000    0.706000    0.383000 1\nC      C        4     0.817000    0.687000    0.282000 1\nN      N        4     0.874000    0.666000    0.336000 1\nC      C        4     0.660000    0.751000    0.369000 1\nC      C        4     0.610000    0.712000    0.284000 1\nC      C        4     0.569000    0.677000    0.383000 1\nC      C        4     0.529000    0.643000    0.281000 1\nN      N        4     0.487000    0.599000    0.335000 1\nC      C        4     0.463000    0.570000    0.187000 1\nO      O        4     0.431000    0.526000    0.187000 1\nN      N        4     0.487000    0.599000    0.039000 1\nC      C        4     0.529000    0.643000    0.093000 1\nC      C        4     0.569000    0.677000   -0.009000 1\nC      C        4     0.610000    0.712000    0.090000 1\nC      C        4     0.660000    0.751000    0.006000 1\nC      C        4     0.652000    0.813000    0.091000 1\nC      C        4     0.647000    0.867000   -0.009000 1\nC      C        4     0.642000    0.920000    0.093000 1\nN      N        4     0.640000    0.981000    0.039000 1\nC      C        4     0.640000    1.018000    0.187000 1\nO      O        4     0.641000    1.073000    0.187000 1\nN      N        4     0.640000    0.981000    0.336000 1\nC      C        4     0.642000    0.920000    0.282000 1\nC      C        4     0.647000    0.867000    0.383000 1\nC      C        4     0.652000    0.813000    0.284000 1\nH      H        4     0.887000    0.659000   -0.092000 1\nH      H        4     0.769000    0.706000   -0.156000 1\nH      H        4     0.769000    0.706000    0.531000 1\nH      H        4     0.887000    0.659000    0.466000 1\nH      H        4     0.660000    0.751000    0.518000 1\nH      H        4     0.569000    0.676000    0.530000 1\nH      H        4     0.481000    0.585000    0.466000 1\nH      H        4     0.481000    0.585000   -0.092000 1\nH      H        4     0.569000    0.676000   -0.156000 1\nH      H        4     0.660000    0.751000   -0.143000 1\nH      H        4     0.648000    0.868000   -0.156000 1\nH      H        4     0.639000    0.995000   -0.092000 1\nH      H        4     0.639000    0.995000    0.466000 1\nH      H        4     0.648000    0.868000    0.531000 1\n#END\n"
  },
  {
    "path": "pyxtal/interface/LATTE_templates/latte_calc.py",
    "content": "import os\nimport subprocess\nimport re\n\nimport numpy as np\nfrom ase import Atoms\nfrom pyxtal import pyxtal\nfrom pyxtal.lattice import Lattice\n\n\nclass LATTECalc:\n    \"\"\"\n    Minimal LATTE calculator for PyXtal / ASE.\n\n    Assumes the current working directory (workdir) contains:\n      - LATTE executable (exe, e.g. './LATTE_DOUBLE')\n      - TBparam/ directory with control.in etc.\n      - MDcontroller\n      - bl/ directory (will be created if missing)\n\n    It does NOT change directories or create extra folders.\n    \"\"\"\n\n    def __init__(\n        self,\n        struc,\n        exe=\"./LATTE_DOUBLE\",\n        workdir=\".\",\n        log_name=\"latte.log\",\n        relax=None,   # currently only used as a flag, not editing control.in\n        timeout=3600,\n        control_relax=None,    # int 0/1, if None => don’t touch RELAX\n        control_maxiter=None,  # int, if None => don’t touch MAXITER\n        control_rlxftol=None,  # float, if None => don’t touch RLXFTOL\n        control_restart=None,  # int 0/1, if None => don’t touch RESTART\n        ):\n        # keep paths absolute to be safe\n        self.workdir = os.path.abspath(workdir)\n        self.exe = os.path.abspath(os.path.join(self.workdir, exe))\n        self.log_name = log_name\n        self.log_path = os.path.join(self.workdir, self.log_name)\n        self.relax = relax if relax is not None else self._read_relax_from_control()\n        self.timeout = timeout\n        self.control_relax   = control_relax\n        self.control_maxiter = control_maxiter\n        self.control_rlxftol = control_rlxftol\n        self.control_restart = control_restart\n\n        # --- handle structure (pyxtal or ASE Atoms) ---\n        if isinstance(struc, pyxtal):\n            self.pyxtal = struc\n            self.species = struc.species\n            struc = struc.to_ase(resort=False)\n        else:\n            self.pyxtal = None\n\n        if isinstance(struc, Atoms):\n            self.lattice = Lattice.from_matrix(struc.cell)\n            self.cart_coords = struc.get_positions()  # Å\n            self.sites = struc.get_chemical_symbols()\n        else:\n            raise NotImplementedError(\"LATTECalc only supports pyxtal or ASE Atoms objects\")\n\n        self.structure = struc\n\n        # results\n        self.energy = None\n        self.energy_per_atom = None\n        self.forces = None\n        self.stress = None\n        self.optimized = False\n        self.cputime = 0.0\n        self.error = False\n\n    def run(self):\n        \"\"\"\n        Run LATTE once:\n          1) write bl/inputblock.dat\n          2) run LATTE executable\n          3) parse log for total energy\n        \"\"\"\n        self._write_inputblock()\n        self._apply_control_overrides()\n        self._execute()\n        self._read_output()\n        # optional later: self._read_restart_geometry()\n\n    def to_ase(self):\n        #Return ASE Atoms for the (possibly) relaxed structure.\n        #Right now we just keep the original positions; deal later\n\n        cell = self.lattice.matrix\n        positions = self.cart_coords\n        return Atoms(self.sites, positions=positions, cell=cell, pbc=True)\n\n    def to_pyxtal(self):\n        \"\"\"\n        Convert final structure back to pyxtal.\n        \"\"\"\n        ase_atoms = self.to_ase()\n        for tol in [1e-2, 1e-3, 1e-4, 1e-5]:\n            try:\n                s = pyxtal()\n                s.from_seed(ase_atoms, tol=tol)\n                return s\n            except Exception:\n                pass\n        return None\n\n    def _write_inputblock(self):\n        \"\"\"\n        Write bl/inputblock.dat in the format LATTE expects:\n          Natoms\n          3 lines: lattice vectors\n          Natoms lines: element x y z (Å)\n        \"\"\"\n        bl_dir = os.path.join(self.workdir, \"bl\")\n        if not os.path.exists(bl_dir):\n            os.makedirs(bl_dir)\n\n        natoms = len(self.sites)\n        cell = self.lattice.matrix\n\n        inputblock_path = os.path.join(bl_dir, \"inputblock.dat\")\n        with open(inputblock_path, \"w\") as f:\n            f.write(f\"{natoms:d}\\n\")\n            for i in range(3):\n                f.write(f\"{cell[i,0]: .10f} {cell[i,1]: .10f} {cell[i,2]: .10f}\\n\")\n            for elem, pos in zip(self.sites, self.cart_coords):\n                f.write(f\"{elem:s} {pos[0]: .10f} {pos[1]: .10f} {pos[2]: .10f}\\n\")\n    def _apply_control_overrides(self):\n        \"\"\"\n        Update the RELAX line in TBparam/control.in with:\n        RELAX= <int> RELAXTYPE= SD MAXITER= <int> RLXFTOL= <float>\n    \n        If any of these parameters are missing (None), keep the old values.\n        \"\"\"\n        control_path = os.path.join(self.workdir, \"TBparam\", \"control.in\")\n        if not os.path.exists(control_path):\n            print(f\"Warning: {control_path} not found; cannot apply overrides.\")\n            return\n    \n        # Read existing file\n        with open(control_path, \"r\") as f:\n            lines = f.readlines()\n    \n        new_lines = []\n        relax_found = False\n        restart_found = False\n        # Defaults (will be replaced if line already has them)\n        relax_val   = self.control_relax\n        relax_type  = \"SD\"\n        maxiter_val = self.control_maxiter\n        rlxftol_val = self.control_rlxftol\n        restart_val = self.control_restart\n    \n        for line in lines:\n            if re.match(r\"^\\s*RELAX\\s*=\", line):\n                relax_found = True\n    \n                # Extract old values if not provided\n                old_relax = re.search(r\"RELAX\\s*=\\s*([0-9]+)\", line)\n                old_maxit = re.search(r\"MAXITER\\s*=\\s*([0-9]+)\", line)\n                old_ftol  = re.search(r\"RLXFTOL\\s*=\\s*([-0-9.Ee]+)\", line)\n                old_type  = re.search(r\"RELAXTYPE\\s*=\\s*(\\w+)\", line)\n    \n                if relax_val   is None and old_relax: relax_val   = int(old_relax.group(1))\n                if maxiter_val is None and old_maxit: maxiter_val = int(old_maxit.group(1))\n                if rlxftol_val is None and old_ftol:  rlxftol_val = float(old_ftol.group(1))\n                if old_type: relax_type = old_type.group(1)\n    \n                # Construct new formatted line\n                relax_val   = 1 if relax_val is None else int(relax_val)\n                maxiter_val = 300 if maxiter_val is None else int(maxiter_val)\n                rlxftol_val = 1e-3 if rlxftol_val is None else float(rlxftol_val)\n    \n                new_line = f\"RELAX= {relax_val:d} RELAXTYPE= {relax_type} MAXITER= {maxiter_val:d} RLXFTOL= {rlxftol_val:.3f}\\n\"\n                new_lines.append(new_line)\n            # ---- RESTART block ----\n            elif re.match(r\"^\\s*RESTART\\s*=\", line):\n                restart_found = True\n                old_restart = re.search(r\"RESTART\\s*=\\s*([0-9]+)\", line)\n                if restart_val is None and old_restart:\n                    restart_val = int(old_restart.group(1))\n                restart_val = 1 if restart_val is None else int(restart_val)\n                new_lines.append(f\"RESTART= {restart_val:d}\\n\")\n            else:\n                new_lines.append(line)\n    \n        if not relax_found:\n            # Append it at the end if missing\n            relax_val   = 1 if relax_val is None else int(relax_val)\n            maxiter_val = 300 if maxiter_val is None else int(maxiter_val)\n            rlxftol_val = 1e-3 if rlxftol_val is None else float(rlxftol_val)\n            new_lines.append(f\"\\nRELAX= {relax_val:d} RELAXTYPE= {relax_type} MAXITER= {maxiter_val:d} RLXFTOL= {rlxftol_val:.3f}\\n\")\n\n        # Append RESTART if missing\n        if not restart_found:\n            restart_val = 1 if restart_val is None else int(restart_val)\n            new_lines.append(f\"RESTART= {restart_val:d}\\n\")\n\n        with open(control_path, \"w\") as f:\n            f.writelines(new_lines)\n\n    def _read_relax_from_control(self):\n        \"\"\"\n        Read RELAX flag from TBparam/control.in and return True/False.\n        Default to True if file not found or unreadable.\n        \"\"\"\n        control_path = os.path.join(self.workdir, \"TBparam\", \"control.in\")\n        if not os.path.exists(control_path):\n            return True\n        with open(control_path, \"r\") as f:\n            for line in f:\n                if re.match(r\"^\\s*RELAX\\s*=\", line):\n                    try:\n                        val = int(line.split(\"=\")[1].strip().split()[0])\n                        return bool(val)\n                    except Exception:\n                        return True\n        return True\n\n\n    def _execute(self):\n        \"\"\"\n        Run LATTE in self.workdir, logging stdout+stderr to self.log_path.\n        \"\"\"\n        if not os.path.exists(self.exe):\n            print(f\"LATTE executable not found at {self.exe}\")\n            self.error = True\n            return\n\n        try:\n            with open(self.log_path, \"w\") as fout:\n                subprocess.run(\n                    [self.exe],\n                    stdout=fout,\n                    stderr=subprocess.STDOUT,\n                    timeout=self.timeout,\n                    check=True,\n                    cwd=self.workdir,\n                )\n        except subprocess.TimeoutExpired:\n            print(f\"LATTE timed out after {self.timeout} s\")\n            self.error = True\n        except subprocess.CalledProcessError as e:\n            print(f\"LATTE failed with return code {e.returncode}\")\n            self.error = True\n\n    def _read_output(self):\n        \"\"\"\n        Parse total energy from the log file.\n        \"\"\"\n        if self.error:\n            return\n\n        if not os.path.exists(self.log_path):\n            print(\"LATTE log file not found\")\n            self.error = True\n            return\n\n        Tot_energy = re.compile(r\"FREE ENERGY\\s*=\\s*([-0-9.Ee]+)\")\n\n        last_e = None\n        with open(self.log_path, \"r\") as f:\n            for line in f:\n                m = Tot_energy.search(line)\n                if m:\n                    last_e = float(m.group(1))\n\n        if last_e is None:\n            print(\"Could not find total energy in LATTE log\")\n            self.error = True\n            return\n\n        self.energy = last_e\n        self.energy_per_atom = self.energy / len(self.sites)\n        self.optimized = self.relax\n\n    # optional stub for later\n    def _read_restart_geometry(self):\n        \"\"\"\n        Stub: implement later if you want to read relaxed coords from bl/restart.dat.\n        \"\"\"\n        restart_path = os.path.join(self.workdir, \"bl\", \"restart.dat\")\n        if not os.path.exists(restart_path):\n            return\n        # parse restart.dat here and update self.lattice & self.cart_coords\n        # once you know the exact format\n        pass\n\n\ndef latte_single_optimize(\n    struc,\n    exe=\"./LATTE_DOUBLE\",\n    workdir=\".\",\n    log_name=\"latte.log\",\n    relax=None,                 # if None: auto-read RELAX from control.in\n    timeout=3600,\n    control_relax=None,         # int 0/1 -> sets RELAX=\n    control_maxiter=None,       # int     -> sets MAXITER=\n    control_rlxftol=None,       # float   -> sets RLXFTOL=\n    control_restart=None,       # int 0/1 -> sets RESTART=\n):\n    \"\"\"\n    Returns: (pyxtal_struct, energy_per_atom, cputime, error_flag)\n    Currently cputime is always 0.0 (LATTE doesn't give us an easy CPU time).\n    \"\"\"\n    calc = LATTECalc(\n        struc,\n        exe=exe,\n        workdir=workdir,\n        log_name=log_name,\n        relax=relax,\n        timeout=timeout,\n        control_relax=control_relax,\n        control_maxiter=control_maxiter,\n        control_rlxftol=control_rlxftol,\n        control_restart=control_restart,\n    )\n    calc.run()\n\n    if calc.error:\n        print(\"LATTE error in latte_single_optimize\")\n        return None, None, 0.0, True\n    else:\n        final_pyxtal = calc.to_pyxtal() if calc.pyxtal is None else calc.to_pyxtal()\n        return final_pyxtal, calc.energy_per_atom, calc.cputime, False\n\n"
  },
  {
    "path": "pyxtal/interface/LATTE_templates/test.py",
    "content": "from pyxtal import pyxtal\nfrom ase.io import read\nfrom latte_calc import latte_single_optimize\n\n#s = pyxtal()\n#s.from_random(3, 19, [\"C\"], [4])\n# Load CIF file into ASE Atoms\ns = read(\"alpha_match.cif\")\n\ns_opt, epa, t, err = latte_single_optimize(\n    s,\n    exe=\"./LATTE_DOUBLE\",\n    workdir=\".\",\n    log_name=\"latte.log\",\n    control_relax=1,        # RELAX=1\n    control_maxiter=30,    # MAXITER=300\n    control_rlxftol=0.1, # RLXFTOL=1.0E-03\n    control_restart=0,      # RESTART=1\n)\n\nprint(\"Error:\", err)\nprint(\"Energy per atom:\", epa)\nprint(\"Optimized structure (pyxtal):\", s_opt is not None)\n\n\n'''\nfrom pyxtal import pyxtal\nfrom latte_calc import LATTECalc\n\ns = pyxtal()\ns.from_random(3, 19, [\"C\"], [4])\n\ncalc = LATTECalc(\n    s,\n    exe=\"./LATTE_DOUBLE\",\n    workdir=\".\",\n    log_name=\"latte.log\",\n    control_relax=1,\n    control_maxiter=300,\n    control_rlxftol=1.0e-3,\n    control_restart=1,\n)\ncalc.run()\n\nprint(\"Error:\", calc.error)\nprint(\"Energy per atom:\", calc.energy_per_atom)\nprint(\"Optimized structure:\", calc.optimized)\n'''"
  },
  {
    "path": "pyxtal/interface/LJ.py",
    "content": "import logging\nfrom time import time\n\nimport numpy as np\nfrom pymatgen.core.lattice import Lattice\n\nfrom pyxtal.operations import *\n\nlogging.basicConfig(filename=\"test.log\", level=logging.DEBUG)\neV2GPa = 160.217\nGPa2eV = 1.0 / eV2GPa\n\n\"\"\"\nScripts to compute LJ energy and force\n\"\"\"\n\n\ndef get_neighbors(struc, i, rcut):\n    \"\"\"\n    script to get the neighbors info for an atom in the struct\n    \"\"\"\n    lat = struc.lattice_matrix\n    center = struc.cart_coords[i]\n    struc.frac_coords[i]\n    fcoords = struc.frac_coords\n    r, dists, inds, images = Lattice(lat).get_points_in_sphere(fcoords, center=center, r=rcut, zip_results=False)\n    ids = np.where(dists > 0.1)\n    r = r[ids]\n    r = np.dot(r, lat) - center\n    return dists[ids] ** 2, r\n\n\nclass LJ:\n    \"\"\"\n    LJ model for 3D crystals, maybe extended to 0D, 1D, 2D later\n    \"\"\"\n\n    def __init__(self, epsilon=1.0, sigma=1.0, rcut=8.0):\n        \"\"\"\n        passing the parameter to LJ model\n        - epsilon\n        - sigma\n        - rcut\n        \"\"\"\n\n        self.epsilon = epsilon\n        self.sigma = sigma\n        self.rcut = rcut\n\n    def calc(self, struc, press=1e-4):\n        pos = struc.cart_coords\n        lat = struc.lattice_matrix\n        volume = np.linalg.det(lat)\n\n        # initiate the energy, force, stress\n        energy = 0\n        force = np.zeros([len(pos), 3])\n        stress = np.zeros([3, 3])\n        sigma6 = self.sigma**6\n        sigma12 = sigma6 * sigma6\n\n        # calculating the energy/force, needs to update sigma/epsilons\n        for i, _pos0 in enumerate(pos):\n            [r2, r] = get_neighbors(struc, i, self.rcut)\n            r6 = np.power(r2, 3)\n            r12 = np.power(r6, 2)\n            energy += np.sum(4.0 * self.epsilon * (sigma12 / r12 - sigma6 / r6))\n            f = (24 * self.epsilon * (2.0 * sigma12 / r12 - sigma6 / r6) / r2)[:, np.newaxis] * r\n            force[i] = f.sum(axis=0)\n            stress += np.dot(f.T, r)\n\n        energy = 0.5 * energy\n        enthalpy = energy + press * volume * GPa2eV\n        force = force\n        stress = -0.5 * stress / volume * eV2GPa\n\n        return energy, enthalpy, force, stress\n\n\nclass FIRE:\n    \"\"\"\n    FIRE algorithm for structure optimization\n    \"\"\"\n\n    def __init__(\n        self,\n        struc,\n        model,\n        symmetrize=False,\n        e_tol=1e-5,\n        f_tol=1e-2,\n        dt=0.1,\n        maxmove=0.1,\n        dtmax=1.0,\n        Nmin=10,\n        finc=1.1,\n        fdec=0.5,\n        astart=0.1,\n        fa=0.99,\n        a=0.1,\n    ):\n        \"\"\"\n        Parameters for FIRE:\n        \"\"\"\n\n        self.dt = dt\n        self.maxmove = maxmove\n        self.symmetrize = symmetrize\n        self.f_tol = f_tol\n        self.e_tol = e_tol\n        self.dtmax = dtmax\n        self.Nmin = Nmin\n        self.finc = finc\n        self.fdec = fdec\n        self.astart = astart\n        self.fa = fa\n        self.a = a\n        self.nsteps = 0\n        self.Nsteps = 0\n        self.time0 = time()\n        self.model = model\n        self.struc = struc\n        self.initialize()\n\n    def initialize(self):\n        \"\"\"\n        initilaize the positions, energy, force for the 1st step\n        \"\"\"\n        self.energy, self.enthalpy, self.force, self.stress = self.model.calc(self.struc)\n        self.fmax = np.max(np.abs(np.vstack((self.stress, self.force)).flatten()))\n        self.v = np.zeros((len(self.force) + 3, 3))\n        # print('Initial Energy: {:12.4f}'.format(self.energy))\n\n    def update(self, freq=50):\n        self.energy, self.enthalpy, self.force, self.stress = self.model.calc(self.struc)\n        self.fmax = np.max(np.abs(np.vstack((self.stress, self.force)).flatten()))\n        if self.nsteps % freq == 0:\n            logging.debug(\n                f\"Step {self.nsteps:4d} Enthalpy: {self.enthalpy:12.4f} Fmax: {self.fmax:12.4f} Vol: {self.volume:6.2f}\"\n            )\n\n    def step(self):\n        f = np.vstack((self.stress, self.force))\n        pos = np.vstack((self.struc.lattice_matrix, self.struc.cart_coords))\n\n        vf = np.vdot(f, self.v)\n        if vf > 0.0:\n            self.v = (1.0 - self.a) * self.v + self.a * f / np.sqrt(np.vdot(f, f)) * np.sqrt(np.vdot(self.v, self.v))\n            if self.Nsteps > self.Nmin:\n                self.dt = min(self.dt * self.finc, self.dtmax)\n                self.a *= self.fa\n            self.Nsteps += 1\n        else:\n            self.v[:] *= 0.0\n            self.a = self.astart\n            self.dt *= self.fdec\n            self.Nsteps = 0\n\n        self.v += self.dt * f\n        dr = self.dt * self.v  # needs to impose constraints\n        normdr = np.sqrt(np.vdot(dr, dr))\n        if normdr > self.maxmove:\n            dr = self.maxmove * dr / normdr\n        # print('frac0', np.dot(pos[3:,:], np.linalg.inv(pos[:3,:])))\n\n        # Symmetrize the force\n        if self.symmetrize:\n            # f[:3, :] is the gradient for force, need to symmetrize it as well\n            dr[:3, :] = self.symmetrized_stress(dr[:3, :])\n            dr[3:, :] = np.dot(self.struc.frac_coords, dr[:3, :])\n            f_frac = np.dot(dr[3:, :], np.linalg.inv(pos[:3, :] - dr[:3, :]))\n            f_frac = self.symmetrized_force(f_frac)\n            dr[3:, :] += np.dot(f_frac, pos[:3, :] - dr[:3, :])\n\n        # pos = pos - dr\n        # Symmetrize positions\n        # if self.symmetrize:\n        #    pos = self.symmetrized_coords(pos)\n\n        # print(self.force)\n        # print(self.v)\n        self.struc.lattice_matrix = pos[:3, :] - dr[:3, :]\n        self.struc.cart_coords = pos[3:, :] - dr[3:, :]\n        self.struc.frac_coords = np.dot(self.struc.cart_coords, np.linalg.inv(self.struc.lattice_matrix))\n        self.volume = np.linalg.det(self.struc.lattice_matrix)\n\n        # sg = get_symmetry_dataset((pos[:3, :], self.struc.frac_coords, [6]*4), symprec=0.1)['number']\n        # print(sg)\n        # if self.symmetrize and sg <19:\n        #    print(sg)\n        #    print('dr\\n', dr)\n        #    print('pos\\n', pos)\n        #    print('frac\\n', self.struc.frac_coords)\n        #    print('force\\n', f_frac)\n        #    sys.exit()\n        self.update()\n\n    def run(self, max_steps=1000):\n        self.max_steps = max_steps\n        while self.nsteps < max_steps:\n            if self.check_convergence():\n                break\n            self.step()\n            self.nsteps += 1\n\n        logging.info(\n            f\"Finish at Step {self.nsteps:4d} Enthalpy: {self.enthalpy:12.4f} Fmax: {self.fmax:12.4f} Time: {time() - self.time0:6.2f} seconds\"\n        )\n\n    def check_convergence(self):\n        \"\"\"\n        There should be two options to terminate the optimization\n        before it reaches the maximum number of cycles\n        1, by energy difference compared to the previous step: self.e_tol\n        2, by the residual force: self.f_tol\n        Will implement both options later.\n        \"\"\"\n        converged = False\n        if self.fmax < self.f_tol and self.nsteps > 0:\n            converged = True\n        return converged\n\n    def symmetrized_coords(self, coords):\n        start_index = 0\n        new_coords = []\n        for ws in self.struc.wyckoff_sites:\n            # Get coordinates associated with WP\n            original_coords = coords[start_index : start_index + ws.multiplicity]\n            # Re-generate the points from the first generating point\n            gen_coord = coords[start_index]\n            wp_coords0 = apply_ops(gen_coord, ws.wp.generators_m)\n            # Calculate the PBC translation applied to each point\n            translations = original_coords - wp_coords0\n            frac_translations = np.dot(translations, np.linalg.inv(self.struc.lattice_matrix))\n            frac_translations = np.round(frac_translations)\n            cart_translations = np.dot(frac_translations, self.struc.lattice_matrix)\n            # Subtract translations from original coords\n            translated_coords = original_coords - cart_translations\n            # Apply inverse WP operations to get generating_points\n            inverse_ops = ws.wp.inverse_generators_m\n            generating_points = apply_ops_diagonal(translated_coords, inverse_ops)\n            # Find the average of the generating points\n            average_point = np.sum(generating_points, axis=0) / ws.multiplicity\n            # Convert to fractional coordinates\n            average_point = np.dot(average_point, np.linalg.inv(self.struc.lattice_matrix))\n            # Apply the WP operations to the averaged generating point\n            wp_coords = apply_ops(average_point, ws.wp)\n            # Convert back to Cartesian coordintes\n            wp_coords = np.dot(wp_coords, self.struc.lattice_matrix)\n            # Re-apply the cartesian translations\n            wp_coords = wp_coords + cart_translations\n            new_coords = wp_coords if len(new_coords) == 0 else np.vstack([new_coords, wp_coords])\n            start_index += ws.multiplicity\n        return new_coords\n\n    def symmetrized_force(self, coords):\n        start_index = 0\n        new_coords = []\n        for ws in self.struc.wyckoff_sites:\n            # Get coordinates associated with WP\n            coords[start_index : start_index + ws.multiplicity]\n            # Re-generate the points from the first generating point\n            gen_coord = coords[start_index]\n            wp_coords0 = apply_ops(gen_coord, ws.wp.generators_m)\n            # Apply inverse WP operations to get generating_points\n            inverse_ops = ws.wp.inverse_generators_m\n            generating_points = apply_ops_diagonal(wp_coords0, inverse_ops)\n            # Find the average of the generating points\n            average_point = np.sum(generating_points, axis=0) / ws.multiplicity\n            # Convert to fractional coordinates\n            average_point = np.dot(average_point, np.linalg.inv(self.struc.lattice_matrix))\n            # For forces, we do not apply translational WP operations, so we truncate the ops\n            matrices = np.array([op.affine_matrix[:3, :3] for op in ws.wp])\n            # Apply the truncated WP operations to the averaged generating point\n            wp_coords = np.dot(average_point, matrices)\n            # Convert back to Cartesian coordintes\n            wp_coords = np.dot(wp_coords, self.struc.lattice_matrix)\n            new_coords = wp_coords if len(new_coords) == 0 else np.vstack([new_coords, wp_coords])\n            start_index += ws.multiplicity\n        # if np.sum(np.abs(coords-new_coords))>1e-1:\n        #    print(coords)\n        #    print(new_coords)\n        #    print(coords-new_coords)\n        #    sys.exit()\n        return new_coords\n\n    def symmetrized_stress(self, stress):\n        # Make the matrix lower-diagonal\n        for i, j in [(1, 0), (2, 1), (2, 2)]:\n            stress[i][j] = stress[i][j] + stress[j][i]\n            stress[j][i] = 0\n        # Normalize the matrix\n        snm = self.struc.lattice.stress_normalization_matrix\n        m2 = np.multiply(stress, snm)\n        # Normalize the on-diagonal elements\n        indices = self.struc.lattice.stress_indices\n        if len(indices) == 2:\n            total = 0\n            for index in indices:\n                total += stress[index]\n            value = np.sqrt(total)\n            for index in inices:\n                m2[index] = value\n        elif len(indices) == 3:\n            total = 0\n            for index in indices:\n                total += stress[index]\n            value = np.cbrt(total)\n            for index in inices:\n                m2[index] = value\n        return m2\n\n\nif __name__ == \"__main__\":\n    from spglib import get_symmetry_dataset\n    from pyxtal import pyxtal\n\n    for _i in range(10):\n        crystal = pyxtal()\n        crystal.from_random(3, 11, [\"C\"], [4])\n        if crystal.valid:\n            crystal1 = deepcopy(crystal)\n            test = LJ(epsilon=0.01, sigma=3.40, rcut=8.0)\n            struc = (crystal1.lattice_matrix, crystal1.frac_coords, [6] * 4)\n            eng, enth, force, stress = test.calc(crystal1)\n            sg = get_symmetry_dataset(struc)[\"number\"]\n            print(f\"\\nBefore relaxation Space group:            {sg:4d}   Energy: {eng:12.4}  Enthalpy: {enth:12.4}\")\n\n            dyn1 = FIRE(crystal1, test, f_tol=1e-5, dt=0.2, maxmove=0.2)  # , symmetrize=True)\n            dyn1.run(500)\n            eng, enth, force, stress = test.calc(crystal1)\n            struc = (dyn1.struc.lattice_matrix, dyn1.struc.frac_coords, [6] * 4)\n            sg = get_symmetry_dataset(struc, symprec=0.1)[\"number\"]\n            print(f\"After relaxation without symm Space group: {sg:4d}  Energy: {eng:12.4}  Enthalpy: {enth:12.4}\")\n\n            dyn1 = FIRE(crystal, test, f_tol=1e-5, dt=0.2, maxmove=0.2, symmetrize=True)\n            dyn1.run(500)\n            eng, enth, force, stress = test.calc(crystal)\n            struc = (dyn1.struc.lattice_matrix, dyn1.struc.frac_coords, [6] * 4)\n            sg = get_symmetry_dataset(struc, symprec=0.02)[\"number\"]\n            if sg is None:\n                sg = 0\n            print(f\"After relaxation with symm Space group:    {sg:4d}  Energy: {eng:12.4}  Enthalpy: {enth:12.4}\")\n            # dyn1 = FIRE(crystal, test, f_tol=1e-5, dt=0.2, maxmove=0.2)\n            # struc = (dyn1.struc.lattice_matrix, dyn1.struc.frac_coords, [6]*4)\n            # sg =  get_symmetry_dataset(struc, symprec=0.02)['number']\n            # print('After relaxation without symm Space group: {:4d}  Energy: {:12.4}  Enthalpy: {:12.4}'.format(sg, eng, enth))\n            # right now, it seems structures goes to either HCP of FCC after relaxation, which is expected for 3D LJ system\n            # need to compare with other code to see if the energy is correct\n"
  },
  {
    "path": "pyxtal/interface/__init__.py",
    "content": ""
  },
  {
    "path": "pyxtal/interface/ase_opt.py",
    "content": "# --- Optional fix for PyTorch weights_only change (harmless if unused) ---\nfrom torch.serialization import add_safe_globals\nadd_safe_globals([slice])\n# ------------------------------------------------------------------------\n\nimport signal\nimport numpy as np\nfrom ase.constraints import FixSymmetry\nfrom ase.filters import UnitCellFilter\nfrom ase.optimize.fire import FIRE\nimport logging\nfrom ase.atoms import Atoms\n\n_cached_mace = None\n_cached_uma = None\n_cached_ani = None\n\ndef get_calculator(calculator):\n    \"\"\"\n    Return an ASE calculator instance.\n\n    Supported strings:\n      - 'FAIRChem', 'ANI', 'MACE', 'MACEOFF' if you re-enable those blocks.\n    Or you can pass an ASE calculator instance directly.\n    \"\"\"\n    global _cached_mace, _cached_uma, _cached_ani\n\n    if isinstance(calculator, str):\n        if calculator == \"UMA\":\n            if _cached_uma is None:\n                from fairchem.core import pretrained_mlip, FAIRChemCalculator\n                predictor = pretrained_mlip.get_predict_unit(\"uma-s-1p1\")\n                _cached_uma = FAIRChemCalculator(predictor,\n                                                 task_name=\"omc\")\n            calc = _cached_uma\n\n        elif calculator == \"ANI\":\n            if _cached_ani is None:\n                import torchani\n                _cached_ani = torchani.models.ANI2x().ase()\n            calc = _cached_ani\n\n        elif calculator == \"MACE\":\n            if _cached_mace is None:\n                from mace.calculators import mace_mp\n                _cached_mace = mace_mp(model=\"small\", dispersion=True)\n            calc = _cached_mace\n\n        elif calculator == \"MACEOFF\":\n            if _cached_mace is None:\n                from mace.calculators import mace_off\n                _cached_mace = mace_off(model=\"medium\")#, device=\"cpu\")\n            calc = _cached_mace\n\n        else:\n            raise ValueError(f\"Unknown calculator: {calculator}\")\n    else:\n        # already an ASE calculator instance\n        calc = calculator\n\n    return calc\n\n\ndef ASE_relax(\n    struc,\n    calculator=\"MACE\",\n    opt_lat=True,\n    step=300,\n    fmax=0.5,\n    logfile=None,\n    max_time=15.0,\n    label=\"ase\",\n):\n    \"\"\"\n    ASE optimizer used by pyxtal/DFS.\n\n    Args:\n        struc: ASE Atoms object or a pyxtal object (with .to_ase()).\n        calculator: string ('FAIRChem', 'MACE', 'ANI', 'MACEOFF') or ASE calculator.\n        opt_lat (bool): optimize lattice (cell) or not.\n        step (int): maximum FIRE steps.\n        fmax (float): force convergence criterion (eV/Å).\n        logfile (str or None): FIRE log file.\n        max_time (float): wall time limit in minutes.\n        label (str): label for logging.\n\n    Returns:\n        ASE Atoms object if successful, otherwise None.\n    \"\"\"\n\n    def handler(signum, frame):\n        raise TimeoutError(\"Optimization timed out\")\n\n    logger = logging.getLogger()\n    timeout = int(max_time * 60)  # seconds\n\n    # Start wall-clock timeout\n    signal.signal(signal.SIGALRM, handler)\n    signal.alarm(timeout)\n\n    # Convert to ASE Atoms if needed\n    if isinstance(struc, Atoms):\n        atoms = struc\n    elif hasattr(struc, \"to_ase\"):\n        atoms = struc.to_ase(resort=False)\n    else:\n        raise TypeError(\"ASE_relax expects an ASE Atoms or a pyxtal object with .to_ase().\")\n\n    step_init = min([30, int(step / 2)])\n    _fmax = 1e5\n\n    try:\n        atoms.calc = get_calculator(calculator)#; print(\"The current Path:\", os.getcwd())\n        atoms.set_constraint(FixSymmetry(atoms))\n\n        if opt_lat:\n            ecf = UnitCellFilter(atoms)\n            dyn = FIRE(ecf, a=0.1, logfile=logfile) if logfile is not None else FIRE(ecf, a=0.1)\n        else:\n            dyn = FIRE(atoms, a=0.1, logfile=logfile) if logfile is not None else FIRE(atoms, a=0.1)\n\n        # First stage\n        dyn.run(fmax=fmax, steps=step_init)\n        forces = atoms.get_forces()\n        _fmax = np.sqrt((forces**2).sum(axis=1).max())\n\n        # Second stage (only if not completely insane)\n        if _fmax < 1e3 and step > step_init:\n            dyn.run(fmax=fmax, steps=step - step_init)\n            forces = atoms.get_forces()\n            _fmax = np.sqrt((forces**2).sum(axis=1).max())\n            if _fmax > 100:\n                atoms = None\n        else:\n            atoms = None\n\n    except TimeoutError:\n        logger.warning(f\"Warning {label} timed out after {timeout} seconds.\")\n        atoms = None\n\n    except TypeError:\n        logger.warning(f\"Warning {label} spglib error in getting the lattice\")\n        atoms = None\n\n    finally:\n        # Always cancel alarm to avoid affecting later code\n        signal.alarm(0)\n\n    return atoms\n"
  },
  {
    "path": "pyxtal/interface/ase_opt2.py",
    "content": "import torch\n\n# --- Temporary fix for PyTorch 2.6 weights_only change ---\nfrom torch.serialization import add_safe_globals\nadd_safe_globals([slice])   # allow 'slice' to be unpickled\n# ----------------------------------------------------------\n\nfrom ase.io import read, write\nfrom fairchem.core import pretrained_mlip, FAIRChemCalculator\nimport signal\nfrom time import time\nimport numpy as np\nfrom ase.constraints import FixSymmetry\nfrom ase.filters import UnitCellFilter\nfrom ase.optimize.fire import FIRE\nimport logging\nfrom pyxtal.optimize import WFS, DFS, QRS\nfrom pyxtal import pyxtal\nfrom pyxtal.util import get_pmg_dist\nimport os\nfrom mace.calculators import mace_mp\n_cached_mace_mp = None\nfrom mace.calculators import mace_off\n\n\ndef get_calculator(calculator):\n    global _cached_mace_mp\n\n    if type(calculator) is str:\n        if calculator == 'ANI':\n            import torchani\n            calc = torchani.models.ANI2x().ase()\n\n        elif calculator == 'MACE':\n            if _cached_mace_mp is None:\n                _cached_mace_mp = mace_mp(\n                    model='small',\n                    dispersion=True,\n                    device='cpu'\n                )\n            calc = _cached_mace_mp\n\n        elif calculator == 'MACEOFF':\n            calc = mace_off(model='medium', device='cpu')\n            \n        elif calculator == 'FAIRChem':\n            # Initialize FAIRChem\n            predictor = pretrained_mlip.get_predict_unit(\"uma-s-1p1\", device=\"cpu\")\n            calc = FAIRChemCalculator(predictor, task_name=\"omc\")\n            \n        else:\n            raise ValueError(f\"Unknown calculator: {calculator}\")\n            \n    else:\n        calc = calculator\n\n    return calc\n\nclass ASE_optimizer:\n    \"\"\"\n    This is a ASE optimizer to perform oragnic crystal structure optimization.\n    We assume that the geometry has been well optimized by classical FF.\n\n    Args:\n        struc: pyxtal object\n        calculator (str): 'ANI', 'MACE'\n        opt_lat (bool): to opt lattice or not\n        log_file (str): output file\n    \"\"\"\n\n    def __init__(self, struc, calculator=\"FAIRChem\", opt_lat=True, logfile=\"ase_log_ebdc_local\"):\n        self.structure = struc\n        self.calculator = get_calculator(calculator)\n        self.opt_lat = opt_lat\n        self.stress = None\n        self.forces = None\n        self.optimized = True\n        self.positions = None\n        self.cell = None\n        self.cputime = 0\n        self.logfile = logfile\n\n    def run(self, fmax_target=0.01):\n        t0 = time()\n        s = self.structure.to_ase(resort=False)\n        s.set_constraint(FixSymmetry(s))\n        s.set_calculator(self.calculator)\n    \n        obj = UnitCellFilter(s) if self.opt_lat else s\n        dyn = FIRE(obj, a=0.01, logfile=self.logfile)\n    \n        # <-- Key line: no 'steps' argument\n        dyn.run(fmax=fmax_target)\n    \n        if self.opt_lat:\n            self.structure.lattice.set_matrix(s.get_cell())\n    \n        positions = s.get_scaled_positions()\n        count = 0\n        for _i, site in enumerate(self.structure.mol_sites):\n            coords0, _ = site._get_coords_and_species(first=True)\n            coords1 = positions[count : count + len(site.molecule.mol)]\n            for j, coor in enumerate(coords1):\n                diff = coor - coords0[j]\n                diff -= np.round(diff)\n                abs_diff = np.dot(diff, s.get_cell())\n                if abs(np.linalg.norm(abs_diff)) < 2.0:\n                    coords1[j] = coords0[j] + diff\n                else:\n                    print(coords1[j], coords1[j], np.linalg.norm(abs_diff))\n                    import sys; sys.exit()\n            site.update(coords1, self.structure.lattice)\n            count += len(site.molecule.mol) * site.wp.multiplicity\n    \n        self.structure.optimize_lattice()\n        self.structure.energy = s.get_potential_energy()\n        self.cell = s.get_cell()\n    \n        s.set_calculator()\n        s.set_constraint()\n        self.cputime = time() - t0\n        self.optimized = bool(getattr(dyn, \"converged\", False))\n\n\n#(\"/Users/mmukta/Downloads/HOF-EBDC_aka_ZJU-HOF-60.cif\", \"O=C(O)c2cc(C#Cc1cc(C(=O)O)cc(C(=O)O)c1)cc(C(=O)O)c2\")\n#(\"/Users/mmukta/Downloads/HOF-BDDC_aka_ZJU-HOF-62.cif\", \"O=C(O)c2cc(C#CC#Cc1cc(C(=O)O)cc(C(=O)O)c1)cc(C(=O)O)c2\")\n#(\"/Users/mmukta/Downloads/HOF-1a.cif\", \"Nc8nc(N)nc(c7ccc(C(c2ccc(c1nc(N)nc(N)n1)cc2)(c4ccc(c3nc(N)nc(N)n3)cc4)c6ccc(c5nc(N)nc(N)n5)cc6)cc7)n8\")\n\nif __name__ == \"__main__\":\n    import os, warnings\n    from pyxtal.db import database\n    warnings.filterwarnings(\"ignore\")\n\n    work_dir = \"tmp\"\n    if not os.path.exists(work_dir):\n        os.makedirs(work_dir)\n\n    #db = database(\"pyxtal/database/test.db\")\n    #struc = db.get_pyxtal(\"ACSALA\")\n    data = [\n    (\"/Users/mmukta/Desktop/Cocrystal/ebdc-local-maceOff1500.cif\", \"O=C(O)c2cc(C#Cc1cc(C(=O)O)cc(C(=O)O)c1)cc(C(=O)O)c2\")\n    ]\n\n    for d in data:\n        cif, smiles = d\n        c = pyxtal(molecular=True)\n        c.from_seed(cif, molecules=[smiles+'.smi'])\n        pmg0 = c.to_pymatgen()\n        if c.has_special_site():\n            c1 = c.to_subgroup(); print(c1)\n            pmg = c1.to_pymatgen()\n            if get_pmg_dist(pmg0, pmg) > 0.1:\n                print(\"The reference structure is not a valid subgroup.\")\n                m = c1.mol_sites[0]\n                m.rotate(ax_id=2, angle=180)\n                pmg = c1.to_pymatgen()\n                print(\"Distance after flip\", get_pmg_dist(pmg0, pmg))\n            c = c1\n            pmg = c.to_pymatgen()\n        else:\n            pmg = pmg0\n    calc = ASE_optimizer(c)\n    print(calc.structure.lattice)\n    #calc.run(steps=1500)\n    calc.run(fmax_target=0.1)\n    print(calc.structure.energy)\n    print(calc.structure.lattice)\n    '''\n    calc.structure.to_file(\"maceOff/ebdc-local.cif\")\n    from pymatgen.core import Structure\n    # Load CIF\n    structure = Structure.from_file(\"maceOff/ebdc-local.cif\")\n    # Get density in g/cm³\n    print(\"Density:\", structure.density, \"g/cm³\")\n    total_molecules = 0\n    print(\"Molecular sites and multiplicities:\")\n    for i, site in enumerate(c.mol_sites):\n        print(f\"Site {i+1}: Wyckoff multiplicity = {site.wp.multiplicity}\")\n        total_molecules += site.wp.multiplicity\n\n    print(f\"\\nTotal molecules per unit cell: {total_molecules}\")\n    '''"
  },
  {
    "path": "pyxtal/interface/charmm.py",
    "content": "import contextlib\nimport os\nimport shutil\nimport subprocess\nimport numpy as np\n\nclass CHARMM:\n    \"\"\"\n    A calculator to perform oragnic crystal structure optimization in CHARMM.\n\n    Args:\n        struc: pyxtal.molecular_crystal.molecular_crystal object\n        label (str): label for this calculation\n        algo (str): \"abnr\"\n        lat_mut (bool): mutate lattice or not\n        rotate (bool): rotate lattice or not\n        prefix (str): prefix of this calculation\n        atom_info (dict): atom_labels\n        folder (str): folder name\n        opt (str): 'conv', 'conp', 'single'\n        steps (int): optimization steps\n        exe (str): charmm executable\n        input (str): charmm input file\n        output (str): charmm output file\n        dump (str): charmm dump structure\n    \"\"\"\n\n    def __init__(\n        self,\n        struc,\n        label=\"_\",\n        algo=\"abnr\",\n        lat_mut=False,\n        rotate=False,\n        prefix=\"pyxtal\",\n        atom_info=None,\n        folder=\".\",\n        opt=\"conp\",\n        steps=None,\n        exe=\"charmm\",\n        input=\"charmm.in\",\n        output=\"charmm.log\",\n        dump=\"result.pdb\",\n        debug=False,\n        timeout=25.0,\n    ):\n        self.errorE = 1e+5\n        self.error = False\n        if steps is None:\n            steps = [2000, 1000]\n        self.debug = debug\n        self.timeout = timeout\n        # check charmm Executable\n        if shutil.which(exe) is None:\n            raise BaseException(f\"{exe} is not installed\")\n        else:\n            self.exe = exe\n\n        self.atom_info = atom_info\n\n        # Optimization setting\n        self.opt = opt\n        self.optlat = False\n        self.algo = algo\n        if type(steps) is list:\n            self.steps = steps\n        elif type(steps) is int:\n            self.steps = [2000, steps]\n        self.opt = opt\n\n        # Files IO\n        self.folder = folder\n        self.prefix = prefix\n        self.label = label\n        self.rtf = self.prefix + \".rtf\"\n        self.prm = self.prefix + \".prm\"\n        self.psf = self.label + self.prefix + \".psf\"\n        self.crd = self.label + self.prefix + \".crd\"\n        self.input = self.label + input\n        self.output = self.label + output\n        self.dump = self.label.lower() + dump  # charmm only output lower\n\n        # For parsing the output\n        self.positions = None\n        self.forces = None\n        self.optimized = False\n        self.cell = None\n        self.cputime = 0.0\n\n        # Structure Manipulation\n        struc.resort()\n        self.structure = struc\n        try:\n            self.structure.optimize_lattice()\n        except:\n            print(\"bug in Lattice\")\n            print(self.structure)\n            print(self.structure.lattice)\n            print(self.structure.lattice.matrix)\n            self.error = True\n        # print(\"\\nbeginining lattice: \", struc.lattice)\n\n        self.lat_mut = lat_mut\n        self.rotate = rotate\n\n    def run(self, clean=True):\n        \"\"\"\n        Only run calc if it makes sense\n        \"\"\"\n        if not self.error:\n            os.makedirs(self.folder, exist_ok=True)\n            cwd = os.getcwd()\n            os.chdir(self.folder)\n\n            self.write()  # ; print(\"write\", time()-t0)\n            res = self.execute()  # ; print(\"exe\", time()-t0)\n            if res is not None:\n                self.read()  # ; print(\"read\", self.structure.energy)\n            else:\n                self.structure.energy = self.errorE\n                self.error = True\n            if clean: self.clean()\n\n            os.chdir(cwd)\n\n    def execute(self):\n        cmd = self.exe + \" < \" + self.input + \" > \" + self.output\n        # os.system(cmd)\n        with open(os.devnull, 'w') as devnull:\n            try:\n                # Run the external command with a timeout\n                result = subprocess.run(\n                    cmd, shell=True, timeout=self.timeout, check=True, stderr=devnull)\n                return result.returncode  # Or handle the result as needed\n            except subprocess.CalledProcessError as e:\n                print(f\"Cmd '{cmd}' failed. Trying another cutoff.....\")\n                try:\n                    # try again with a different cutoff\n                    self.write(cutoff=16.0)\n                    result = subprocess.run(\n                    cmd, shell=True, timeout=self.timeout, check=True, stderr=devnull)\n                    return result.returncode  # Or handle the result as needed\n                except subprocess.CalledProcessError as e:\n                    print(f\"Cmd '{cmd}' failed with return code {e.returncode}.\")\n                    os.system(f'cp {self.input} err-{self.input}')\n                    return None\n                except subprocess.TimeoutExpired:\n                    print(f\"External cmd {cmd} timed out.\")\n                    return None\n            except subprocess.TimeoutExpired:\n                print(f\"External cmd {cmd} timed out.\")\n                return None\n\n    def clean(self):\n        os.remove(self.input)\n        os.remove(self.output)\n        os.remove(self.crd) if os.path.exists(self.crd) else None\n        os.remove(self.psf) if os.path.exists(self.psf) else None\n        os.remove(self.dump) if os.path.exists(self.dump) else None\n\n    def write(self, cutoff=14.0):\n        \"\"\"\n        setup the necessary files for charmm calculation\n        \"\"\"\n        lat = self.structure.lattice\n        if self.lat_mut: lat = lat.mutate()\n\n        a, b, c, alpha, beta, gamma = lat.get_para(degree=True)\n        ltype = lat.ltype\n        if ltype in ['trigonal', 'Trigonal']:\n            ltype = 'hexagonal'\n\n        fft = self.FFTGrid(np.array([a, b, c]))\n\n        with open(self.input, \"w\") as f:\n            # General input\n            f.write(\"! Automated Charmm calculation\\n\\n\")\n            f.write(\"bomlev -1\\n\")\n            f.write(\"! top and par\\n\")\n            f.write(f\"read rtf card name {self.rtf:s}\\n\")\n            f.write(f\"read para card name {self.prm:s}\\n\")\n            f.write(\"Read sequence card\\n\")\n            f.write(f\"{len(self.structure.mol_sites):5d}\\n\")\n            atom_count = []\n            for site in self.structure.mol_sites:\n                atom_count.append(len(site.molecule.mol))\n                if self.atom_info is None:\n                    f.write(f\"U0{site.type:d} \")\n                else:\n                    f.write(\"{:s} \".format(\n                        self.atom_info[\"resName\"][site.type]))\n\n            f.write(\"\\ngenerate main first none last none setup warn\\n\")\n            f.write(\"Read coor card free\\n\")\n            f.write(\"* Residues coordinate\\n*\\n\")\n            f.write(f\"{sum(atom_count):5d}\\n\")\n            for i, site in enumerate(self.structure.mol_sites):\n                res_name = f\"U0{site.type:d}\" if self.atom_info is None else self.atom_info[\n                    \"resName\"][site.type]\n\n                # reset lattice if needed (to move out later)\n                site.lattice = lat\n\n                # Rotate if needed\n                if self.rotate:\n                    site.perturbate(lat.matrix, trans=0.5, rot=\"random\")\n                coords, species = site._get_coords_and_species(first=True)\n                if i == 0:\n                    count = 0\n                else:\n                    count += atom_count[i - 1]\n\n                for j, coord in enumerate(coords):\n                    if self.atom_info is None:\n                        label = f\"{species[j]:s}{j + 1:d}\"\n                    else:\n                        label = self.atom_info[\"label\"][site.type][j]\n                    f.write(\n                        \"{:5d}{:5d}{:>4s}  {:<4s}{:10.5f}{:10.5f}{:10.5f}\\n\".format(\n                            j + 1 + count, i + 1, res_name, label, *coord\n                        )\n                    )\n                    # quickly check if\n                    if abs(coord).max() > 500.0:\n                        print(\"Unexpected large input coordinates, stop and debug\")\n                        print(self.structure)\n                        self.structure.to_file('bug.cif')\n                        import sys; sys.exit()\n\n            f.write(f\"write psf card name {self.psf:s}\\n\")\n            f.write(f\"write coor crd card name {self.crd:s}\\n\")\n            f.write(f\"read psf card name {self.psf:s}\\n\")\n            f.write(f\"read coor card name {self.crd:s}\\n\")\n\n            # Structure info\n            f.write(\"\\n! crystal parameters\\n\")\n            f.write(f\"set shape {ltype:s}\\n\")\n            f.write(f\"set a     {a:12.6f}\\n\")\n            f.write(f\"set b     {b:12.6f}\\n\")\n            f.write(f\"set c     {c:12.6f}\\n\")\n            f.write(f\"set alpha {alpha:12.6f}\\n\")\n            f.write(f\"set beta  {beta:12.6f}\\n\")\n            f.write(f\"set gamma {gamma:12.6f}\\n\")\n            f.write(\"coor conv FRAC SYMM @a @b @c @alpha @beta @gamma\\n\")\n            f.write(\"coor stat select all end\\n\")\n            f.write(\"Crystal Define @shape @a @b @c @alpha @beta @gamma\\n\")\n            site0 = self.structure.mol_sites[0]\n            f.write(\n                f\"Crystal Build cutoff {cutoff} noperations {len(site0.wp.ops) - 1:d}\\n\")\n            for i, op in enumerate(site0.wp.ops):\n                if i > 0:\n                    f.write(f\"({op.as_xyz_str():s})\\n\")\n\n            f.write(\n                \"image byres xcen ?xave ycen ?yave zcen ?zave sele resn LIG end\\n\")\n            f.write(\"set 7 fswitch\\n\")\n            f.write(\"set 8 atom\\n\")\n            f.write(\"set 9 vatom\\n\")\n            f.write(\"Update inbfrq 10 imgfrq 10 ihbfrq 10 -\\n\")\n            f.write(\n                \"ewald pmewald lrc fftx {:d} ffty {:d} fftz {:d} -\\n\".format(*fft))\n            f.write(\"kappa 0.34 order 6 CTOFNB 12.0 CUTNB 14.0 QCOR 1.0 -\\n\")\n            f.write(\"@7 @8 @9 vfswitch !\\n\")\n            f.write(f\"mini {self.algo:s} nstep {self.steps[0]:d}\\n\")\n            if len(self.steps) > 1:\n                f.write(\n                    f\"mini {self.algo:s} lattice nstep {self.steps[1]:d} \\n\")\n            if len(self.steps) > 2:\n                f.write(f\"mini {self.algo:s} nstep {self.steps[2]:d}\\n\")\n\n            f.write(\n                \"coor conv SYMM FRAC ?xtla ?xtlb ?xtlc ?xtlalpha ?xtlbeta ?xtlgamma\\n\")  #\n            f.write(f\"\\nwrite coor pdb name {self.dump:s}\\n\")  #\n            f.write(\"*CELL :  ?xtla  ?xtlb  ?xtlc ?xtlalpha ?xtlbeta ?xtlgamma\\n\")  #\n            f.write(f\"*Z = {len(site0.wp):d}\\n\")\n            f.write(\"*Energy(kcal): ?ener\\n\")\n            f.write(\"stop\\n\")\n        # print(\"STOP\"); import sys; sys.exit()\n\n    def read(self):\n        with open(self.output) as f:\n            lines = f.readlines()\n            self.version = lines[2]\n            if lines[-1].find(\"CPU TIME\") != -1:\n                self.optimized = True\n                self.cputime = float(lines[-2].split()[-2])\n                for line in lines:\n                    if line.find(\"MINI> \") != -1:\n                        with contextlib.suppress(Exception):\n                            self.structure.iter = int(line.split()[1])\n                            # raise RuntimeError(\"Something is wrong in the charmm output\")\n                    elif line.find(\"ABNORMAL TERMINATION\") != -1:\n                        self.optimized = False\n                        break\n\n        if self.optimized:\n            with open(self.dump) as f:\n                lines = f.readlines()\n                positions = []\n                for line in lines:\n                    if line.find(\"REMARK ENERGY\") != -1:\n                        tmp = line.split(\":\")\n                        self.structure.energy = float(tmp[-1])\n                    elif line.find(\"REMARK Z\") != -1:\n                        tmp = line.split(\":\")[-1].split()\n                        Z = int(tmp[-1])\n                    elif line.find(\"REMARK CELL\") != -1:\n                        tmp = line.split(\":\")[-1].split()\n                        tmp = [float(x) for x in tmp]\n                        self.structure.lattice.set_para(tmp)\n                    elif line.find(\"ATOM\") != -1:\n                        try:\n                            xyz = line.split()[5:8]\n                            XYZ = [float(x) for x in xyz]\n                            positions.append(XYZ)\n                        except:\n                            # print(\"Warning: BAD charmm output: \" + line)\n                            pass\n                positions = np.array(positions)\n                self.structure.energy *= Z\n\n            count = 0\n            # if True:\n            try:\n                for _i, site in enumerate(self.structure.mol_sites):\n                    coords = positions[count: count + len(site.molecule.mol)]\n                    site.update(coords, self.structure.lattice)\n                    count += len(site.molecule.mol)\n                # print(\"after relax:\", self.structure.lattice, \"iter: \", self.structure.iter)\n                self.structure.optimize_lattice()\n                self.structure.update_wyckoffs()\n                # print(\"after latopt:\", self.structure.lattice, self.structure.check_distance()); import sys; sys.exit()\n            except:\n                # molecular connectivity or lattice optimization\n                self.structure.energy = self.errorE\n                self.error = True\n                if self.debug:\n                    print(\"Cannot retrieve Structure after optimization\")\n                    print(\"lattice\", self.structure.lattice)\n                    self.structure.to_file(\"1.cif\")\n                    #print(\"Check 1.cif in \", os.getcwd())\n                    #pairs = self.structure.check_short_distances()\n                    #if len(pairs) > 0:\n                    #    print(self.structure.to_file())\n                    #    print(\"short distance pair\", pairs)\n\n        else:\n            self.structure.energy = self.errorE\n            self.error = True\n            if self.debug:\n                print(self.structure); import sys; sys.exit()\n\n    def FFTGrid(self, ABC):\n        \"\"\"\n        determine the grid used for\n        \"\"\"\n\n        grid = np.array(\n            [\n                1,\n                2,\n                3,\n                4,\n                5,\n                6,\n                8,\n                9,\n                10,\n                12,\n                15,\n                16,\n                18,\n                20,\n                24,\n                25,\n                27,\n                30,\n                32,\n                36,\n                40,\n                #45,\n                48,\n                50,\n                54,\n                60,\n                72,\n                #75,\n                80,\n                #81,\n                90,\n                96,\n                100,\n                108,\n                120,\n                #125,\n                #135,\n                144,\n                150,\n                160,\n                162,\n                180,\n                200,\n                216,\n                #225,\n                240,\n                #243,\n                250,\n                270,\n                288,\n                300,\n                324,\n                360,\n                #375,\n                400,\n            ]\n        )\n        fftxyz = [0, 0, 0]\n        for i, l in enumerate(ABC):\n            tmp = grid[grid > l]\n            fftxyz[i] = max([32, tmp[0]])  # minimum is 32\n        return fftxyz\n\n\ndef check_prm(path):\n    \"\"\"\n    Todo: move it to charmm interface\n    Sometimes there are something wrong with prm file (RUBGIH),\n    \"\"\"\n    with open(path) as f:\n        lines = f.readlines()\n        pairs = []\n        triplets = []\n        imphis = []\n        ids = []\n        do_angle = False\n        do_bond = False\n        do_imphi = False\n        for i, l in enumerate(lines):\n            tmp = l.split()\n            if l.find(\"ANGLE\") == 0:\n                do_angle = True\n            elif l.find(\"BOND\") == 0:\n                do_bond = True\n            elif l.find(\"DIHEDRAL\") == 0:\n                pass\n            elif l.find(\"IMPHI\") == 0:\n                do_imphi = True\n            elif do_bond:\n                if len(tmp) > 0:\n                    pair1 = tmp[0] + \" \" + tmp[1]\n                    pair2 = tmp[1] + \" \" + tmp[0]\n                    if (pair1 in pairs) or (pair2 in pairs):\n                        ids.append(i)\n                        print(\"Duplicate bonds: \", l[:-2])\n                    else:\n                        pairs.append(pair1)\n                else:\n                    do_bond = False\n            elif do_angle:\n                if len(tmp) > 0:\n                    pair1 = tmp[0] + \" \" + tmp[1] + \" \" + tmp[2]\n                    pair2 = tmp[2] + \" \" + tmp[1] + \" \" + tmp[0]\n                    if (pair1 in triplets) or (pair2 in triplets):\n                        ids.append(i)\n                        print(\"Duplicate angles: \", l[:-2])\n                    else:\n                        triplets.append(pair1)\n                else:\n                    do_angle = False\n            # elif do_dihedral:\n            #    if len(tmp) > 0:\n            #        pair1 = tmp[0]+ ' ' + tmp[1] + ' ' + tmp[2] + ' ' +tmp[3] + ' ' + tmp[5]\n            #        pair2 = tmp[3]+ ' ' + tmp[1] + ' ' + tmp[2] + ' ' +tmp[0] + ' ' + tmp[5]\n            #        if (pair1 in quads) or (pair2 in quads):\n            #            ids.append(i)\n            #            #print(pair1)\n            #            #print(pair2)\n            #            #print(quads)\n            #            print('Duplicate dihedral angles: ', l[:-2])\n            #            #import sys\n            #            #sys.exit()\n            #        else:\n            #            quads.append(pair1)\n            #    else:\n            #        do_dihedral = False\n            elif do_imphi:\n                if len(tmp) > 0:\n                    pair1 = tmp[0] + \" \" + tmp[1] + \" \" + tmp[2] + \" \" + tmp[3]\n                    # pair2 = tmp[0] + ' ' + tmp[1] + ' ' + tmp[2] + ' ' +tmp[0]\n                    if pair1 in imphis:  # or (pair2 in imphis):\n                        ids.append(i)\n                        print(\"Duplicate imphi angles: \", l[:-2])\n                    else:\n                        imphis.append(pair1)\n                else:\n                    do_imphi = False\n                    break\n\n    lines = [lines[i] for i in range(len(lines)) if i not in ids]\n    with open(path, \"w\") as f:\n        f.writelines(lines)\n\n\nclass RTF:\n    \"\"\"\n    Parse, convert, merge the RTF files for CHARMM\n    \"\"\"\n\n    def __init__(self, input):\n        self.keywords = [\n            \"MASS\",\n            \"RESI\",\n            \"CHARGE\",\n            \"ATOM\",\n            \"BOND\",\n            \"ANGL\",\n            \"DIHE\",\n            \"IMPH\",\n        ]\n        if type(input) == str:\n            print(\"Converting RTF from the file\", input)\n            f = open(input)\n            rtf = f.read().split(\"\\n\")\n            f.close()\n        else:\n            rtf = input\n\n        self.parse(rtf)\n\n    def parse(self, rtf):\n        \"\"\"\n        parse rtf list to get the dictionary\n        \"\"\"\n        mass = []\n        self.residues = []\n\n        do_resi = False\n        residue = None\n        for l in rtf:\n            tmp = l.split()\n            if l.find(\"MASS\") == 0:\n                mass.append(l)\n                do_resi = False\n            elif l.find(\"RESI\") == 0:\n                if residue is not None:\n                    self.residues.append(residue)\n                do_resi = True\n                residue = {\n                    \"NAME\": tmp[1],\n                    \"CHARGE\": float(tmp[2]),\n                    \"ATOM\": [],\n                    \"BOND\": [],\n                    \"ANGL\": [],\n                    \"DIHE\": [],\n                    \"IMPH\": [],\n                }\n\n            if do_resi:\n                if l.find(\"ATOM\") == 0:  # len(tmp) > 0:\n                    residue[\"ATOM\"].append(l)\n                elif l.find(\"BOND\") == 0:  # len(tmp) > 0:\n                    residue[\"BOND\"].append(l)\n                elif l.find(\"ANGL\") == 0:  # len(tmp) > 0:\n                    residue[\"ANGL\"].append(l)\n                elif l.find(\"DIHE\") == 0:  # len(tmp) > 0:\n                    residue[\"DIHE\"].append(l)\n                elif l.find(\"IMPH\") == 0:  # len(tmp) > 0:\n                    residue[\"IMPH\"].append(l)\n        self.parse_mass(mass)\n        self.residues.append(residue)\n\n    def to_string(self):\n        \"\"\"\n        convert the RTF object to string\n        \"\"\"\n\n        strs = \"* Topology File.\\n\"\n        strs += \"*\\n   99   1\\n\"\n        for l, m in zip(self.labels, self.mass):\n            strs += f\"MASS   -1 {l:4s} {m:12.6f}\\n\"\n\n        for res in self.residues:\n            # print(res)\n            strs += \"\\nRESI {:3s} {:5.3f}\\n\".format(res[\"NAME\"], res[\"CHARGE\"])\n            strs += \"GROUP\\n\"\n            for a in res[\"ATOM\"]: strs += f\"{a:s}\\n\"\n            strs += \"\\n\"\n            for b in res[\"BOND\"]: strs += f\"{b:s}\\n\"\n            strs += \"\\n\"\n            for a in res[\"ANGL\"]: strs += f\"{a:s}\\n\"\n            strs += \"\\n\"\n            for d in res[\"DIHE\"]: strs += f\"{d:s}\\n\"\n            strs += \"\\n\"\n            for i in res[\"IMPH\"]: strs += f\"{i:s}\\n\"\n\n        return strs\n\n    def to_file(self, filename=\"test.rtf\"):\n        \"\"\"\n        Write the PRM file\n        \"\"\"\n\n        f = open(filename, \"w\")\n        f.writelines(self.to_string())\n        f.close()\n\n    def parse_mass(self, mass):\n        self.labels = []\n        self.mass = []\n        for a in mass:\n            tmp = a.split()\n            self.labels.append(tmp[2])\n            self.mass.append(float(tmp[3]))\n\n    def merge(self, rtf1=None, single=None):\n        \"\"\"\n        merge two RTFs into one\n        \"\"\"\n\n        if rtf1 is not None:\n            for l, m in zip(rtf1.labels, rtf1.mass):\n                if l not in self.labels:\n                    self.labels.append(l)\n                    self.mass.append(m)\n\n            self.residues += rtf1.residues\n            for i, res in enumerate(self.residues):\n                residue = {\n                    \"NAME\": str(i) + res[\"NAME\"][:2],\n                    \"CHARGE\": res[\"CHARGE\"],\n                    \"ATOM\": [],\n                    \"BOND\": [],\n                    \"ANGL\": [],\n                    \"DIHE\": [],\n                    \"IMPH\": [],\n                }\n                for a in res[\"ATOM\"]:\n                    tmp = a.split()\n                    a1 = str(i) + tmp[1]\n                    a = f\"ATOM {a1:6s} {tmp[2]:2s}{float(tmp[3]):12.6f}\"\n                    residue[\"ATOM\"].append(a)\n                for a in res[\"BOND\"]:\n                    tmp = a.split(\"!\")\n                    tmp1 = tmp[0].split()\n                    a1, a2 = str(i) + tmp1[1], str(i) + tmp1[2]\n                    a = f\"BOND {a1:6s} {a2:6s}\"\n                    if len(tmp) > 1:\n                        a += f\"!{tmp[-1]:12s}\"\n                    residue[\"BOND\"].append(a)\n                for a in res[\"ANGL\"]:\n                    tmp = a.split(\"!\")\n                    tmp1 = tmp[0].split()\n                    a1, a2, a3 = str(\n                        i) + tmp1[1], str(i) + tmp1[2], str(i) + tmp1[3]\n                    a = f\"ANGL {a1:6s} {a2:6s} {a3:6s} \"\n                    if len(tmp) > 1:\n                        a += f\"!{tmp[-1]:12s}\"\n                    residue[\"ANGL\"].append(a)\n                for a in res[\"DIHE\"]:\n                    tmp = a.split(\"!\")\n                    tmp1 = tmp[0].split()\n                    a1, a2, a3, a4 = (\n                        str(i) + tmp1[1],\n                        str(i) + tmp1[2],\n                        str(i) + tmp1[3],\n                        str(i) + tmp1[4],\n                    )\n                    a = f\"DIHE {a1:6s} {a2:6s} {a3:6s} {a4:6s} \"\n                    if len(tmp) > 1:\n                        a += f\"!{tmp[-1]:12s}\"\n                    residue[\"DIHE\"].append(a)\n                for a in res[\"IMPH\"]:\n                    tmp = a.split(\"!\")\n                    tmp1 = tmp[0].split()\n                    a1, a2, a3, a4 = (\n                        str(i) + tmp1[1],\n                        str(i) + tmp1[2],\n                        str(i) + tmp1[3],\n                        str(i) + tmp1[4],\n                    )\n                    a = f\"IMPH {a1:6s} {a2:6s} {a3:6s} {a4:6s}\"\n                    if len(tmp) > 1:\n                        a += f\"!{tmp[-1]:12s}\"\n                    residue[\"IMPH\"].append(a)\n                self.residues[i] = residue\n\n        elif single is not None:\n            count = str(len(self.residues))\n            l = single[\"label\"]\n            self.labels.append(l)\n            self.mass.append(single[\"mass\"])\n            self.residues += [\n                {\n                    \"NAME\": single[\"name\"],\n                    \"CHARGE\": single[\"charge\"],\n                    \"ATOM\": [\"ATOM {:6s} {:2s}{:12.6f}\".format(count + l, l, float(single[\"charge\"]))],\n                    \"BOND\": [],\n                    \"ANGL\": [],\n                    \"DIHE\": [],\n                    \"IMPH\": [],\n                }\n            ]\n\n\nclass PRM:\n    \"\"\"\n    Parse, convert and merge PRM files for CHARMM\n    \"\"\"\n\n    def __init__(self, input):\n        self.keywords = [\"BOND\", \"ANGLE\", \"DIHEDRAL\", \"IMPHI\", \"NONBOND\"]\n        if type(input) == str:\n            print(\"Converting PRM from the file\", input)\n            f = open(input)\n            prm = f.read().split(\"\\n\")\n            f.close()\n        else:\n            prm = input\n\n        self.dict = self.parse(prm)\n\n    def parse(self, prm):\n        \"\"\"\n        parse prm list to get the dictionary\n        \"\"\"\n        dicts = {}\n        for key in self.keywords:\n            dicts[key] = []\n\n        do_bond = False\n        do_angle = False\n        do_dihedral = False\n        do_imphi = False\n        do_nonbond = False\n\n        for l in prm:\n            tmp = l.split()\n            if l.find(\"ANGLE\") == 0:\n                do_angle = True\n            elif l.find(\"BOND\") == 0:\n                do_bond = True\n            elif l.find(\"DIHEDRAL\") == 0:\n                do_dihedral = True\n            elif l.find(\"IMPHI\") == 0:\n                do_imphi = True\n            elif l.find(\"NONBOND\") == 0:\n                do_nonbond = True\n\n            elif do_bond:\n                if len(tmp) > 0:\n                    dicts[\"BOND\"].append(l)\n                else:\n                    do_bond = False\n\n            elif do_angle:\n                if len(tmp) > 0:\n                    dicts[\"ANGLE\"].append(l)\n                else:\n                    do_angle = False\n\n            elif do_dihedral:\n                if len(tmp) > 0:\n                    dicts[\"DIHEDRAL\"].append(l)\n                else:\n                    do_dihedral = False\n\n            elif do_imphi:\n                if len(tmp) > 0:\n                    dicts[\"IMPHI\"].append(l)\n                else:\n                    do_imphi = False\n\n            elif do_nonbond:\n                if len(tmp) > 0:\n                    if len(tmp) == 7 and tmp[0] != \"!\":\n                        dicts[\"NONBOND\"].append(l)\n                else:\n                    do_nonbond = False\n\n        return dicts\n\n    def to_string(self):\n        \"\"\"\n        convert the PRM object to string\n        \"\"\"\n\n        strs = \"* Force Field Parameter File.\\n\"\n        strs += \"*\"\n        for key in self.keywords:\n            if key == \"NONBOND\":\n                strs += \"\\n\\nNONBONDED  NBXMOD 5  GROUP SWITCH CDIEL - \\n\"\n                strs += \"CUTNB 14.0  CTOFNB 12.0  CTONNB 10.0  EPS 1.0  E14FAC 0.83333333  WMIN 1.4\\n\"\n                strs += \"!                Emin     Rmin/2              Emin/2     Rmin  (for 1-4's)\\n\"\n                strs += \"!             (kcal/mol)    (A)\\n\"\n            else:\n                strs += f\"\\n\\n{key:s}\\n\"\n            for l in self.dict[key]:\n                strs += f\"{l:s}\\n\"\n\n        return strs\n\n    def to_file(self, filename=\"test.prm\"):\n        \"\"\"\n        Write the PRM file\n        \"\"\"\n\n        f = open(filename, \"w\")\n        f.writelines(self.to_string())\n        f.close()\n\n    def merge(self, prm1=None, single=None):\n        \"\"\"\n        merge PRM into one\n        \"\"\"\n        if prm1 is not None:\n            for key in self.keywords:\n                for data in prm1.dict[key]:\n                    if data not in self.dict[key]:\n                        self.dict[key].append(data)\n        elif single is not None:\n            self.dict[\"NONBOND\"] += [single[\"nonbond\"]]\n            # add the nonbonded parameters\n\n\nif __name__ == \"__main__\":\n    from pyxtal.db import database\n\n    w_dir = \"tmp\"\n    if not os.path.exists(w_dir):\n        os.makedirs(w_dir)\n\n    db = database(\"benchmarks/test.db\")\n    row = db.get_row(\"ACSALA\")\n    struc = db.get_pyxtal(\"ACSALA\")\n    c_info = row.data[\"charmm_info\"]\n    prm = open(w_dir + \"/pyxtal.prm\", \"w\")\n    prm.write(c_info[\"prm\"])\n    prm.close()\n    rtf = open(w_dir + \"/pyxtal.rtf\", \"w\")\n    rtf.write(c_info[\"rtf\"])\n    rtf.close()\n\n    calc = CHARMM(struc, atom_info=c_info, folder=w_dir)\n    print(calc.structure.lattice)\n    calc.run(clean=False)\n    print(calc.structure.energy)\n    print(calc.structure.lattice)\n"
  },
  {
    "path": "pyxtal/interface/dftb.py",
    "content": "import os\nimport re\n\nimport numpy as np\nfrom ase.calculators.calculator import (\n    FileIOCalculator,\n    kpts2ndarray,\n    kpts2sizeandoffsets,\n)\nfrom ase.constraints import UnitCellFilter, FixSymmetry\nfrom ase.io import read\nfrom ase.optimize.fire import FIRE\nfrom ase.units import Bohr, Hartree\n\nfrom pyxtal.util import Kgrid\n\n\ndef make_Hamiltonian(\n    skf_dir,\n    atom_types,\n    disp,\n    kpts,\n    scc_error=1e-06,\n    scc_iter=500,\n    write_band=False,\n    use_omp=False,\n):\n    \"\"\"\n    Generate the DFTB Hamiltonian for DFTB+\n    \"\"\"\n    if disp == \"D3\":  # from dftb manual\n        dispersion = \"\"\"DftD3{\n                      Damping = BeckeJohnson{\n                      a1 = 0.5719\n                      a2 = 3.6017\n                      }\n                      s6 = 1.0\n                      s8 = 0.5883\n                      }\n                      \"\"\"\n\n    elif disp == \"D30\":  # zero dampling\n        dispersion = \"\"\"DftD3{\n                      Damping = ZeroDamping{\n                      sr6 = 0.746\n                      alpah6 = 4.191\n                      }\n                      s6 = 1.0\n                      s8 = 3.209\n                      }\n                     \"\"\"\n\n    elif disp == \"D4\":\n        dispersion = \"\"\"DftD4{\n                      s6 = 1\n                      s8 = 0.6635015\n                      s9 = 1\n                      a1 = 0.5523240\n                      a2 = 4.3537076\n                        }\n                     \"\"\"\n\n    elif disp == \"MBD\":  # 1.0 from J. Phys. Chem. Lett. 2018, 9, 399−405\n        dispersion = \"MBD{\\n\\tKGrid = \" + str(kpts)[1:-1] + \"\\n\\tBeta = 1.0}\\n\"\n\n    elif disp == \"TS\":  # 1.05 from J. Phys. Chem. Lett. 2018, 9, 399−405\n        dispersion = \"\"\"TS{\n                      Damping = 20.0\n                      RangeSeparation = 1.0\n                      }\n                     \"\"\"\n\n    elif disp == \"LJ\":\n        dispersion = \"LennardJones{Parameters = UFFParameters{}}\"\n    else:\n        dispersion = None\n\n    kwargs = {\n        \"Hamiltonian_SCC\": \"yes\",\n        \"Hamiltonian_SCCTolerance\": scc_error,  # 1e-06,\n        \"Hamiltonian_MaxSCCIterations\": scc_iter,  # 1000,\n        #'Hamiltonian_Mixer': 'DIIS{}', #Default is Broyden\n        #'Hamiltonian_Dispersion': dispersion,\n        \"slako_dir\": skf_dir,\n        \"Analysis_\": \"\",\n        \"Analysis_WriteBandOut\": \"No\",\n        \"Analysis_MullikenAnalysis\": \"No\",\n        \"Analysis_CalculateForces\": \"Yes\",\n        \"Analysis_PrintForces\": \"Yes\",\n    }\n    if write_band:\n        kwargs[\"Analysis_WriteBandOut\"] = \"Yes\"\n    if use_omp:\n        kwargs[\"Parallel_\"] = \"\"\n        kwargs[\"Parallel_UseOmpThreads\"] = \"Yes\"\n    if dispersion is not None:\n        kwargs[\"Hamiltonian_Dispersion\"] = dispersion\n\n    if skf_dir.find(\"3ob\") > 0:\n        calc_type = \"3ob\"\n    elif skf_dir.find(\"mio\") > 0:\n        calc_type = \"mio\"\n    elif skf_dir.find(\"pbc\") > 0:\n        calc_type = \"pbc\"\n    elif skf_dir.find(\"matsci\") > 0:\n        calc_type = \"matsci\"\n\n    # https://dftb.org/parameters/download/3ob/3ob-3-1-cc\n    if calc_type == \"3ob\":\n        kwargs[\"Hamiltonian_ThirdOrderFull\"] = \"Yes\"\n        kwargs[\"Hamiltonian_HCorrection\"] = \"Damping {\\n\\tExponent = 4.00\\n\\t}\"\n        HD = {\n            \"Br\": -0.0573,\n            \"C\": -0.1492,\n            \"N\": -0.1535,\n            \"Ca\": -0.0340,\n            \"Na\": -0.0454,\n            \"Cl\": -0.0697,\n            \"Zn\": -0.03,\n            \"O\": -0.1575,\n            \"F\": -0.1623,\n            \"P\": -0.14,\n            \"H\": -0.1857,\n            \"S\": -0.11,\n            \"I\": -0.0433,\n            \"K\": -0.0339,\n        }\n        strs = \"{\"\n        for ele in atom_types:\n            if ele == \"H\":\n                kwargs[\"Hamiltonian_MaxAngularMomentum_H\"] = \"s\"\n            elif ele in [\"Mg\", \"C\", \"N\", \"Ca\", \"Na\", \"O\", \"F\", \"K\"]:\n                kwargs[\"Hamiltonian_MaxAngularMomentum_\" + ele] = \"p\"\n            elif ele in [\"Br\", \"Cl\", \"P\", \"S\", \"I\", \"Zn\"]:\n                kwargs[\"Hamiltonian_MaxAngularMomentum_\" + ele] = \"d\"\n            else:\n                raise RuntimeError(\"3-ob-1 doesnot support\", ele)\n            strs += \"\\n\\t\" + ele + \" = \" + str(HD[ele])\n        strs += \"\\n\\t}\"\n        kwargs[\"Hamiltonian_HubbardDerivs\"] = strs\n    elif calc_type == \"pbc\":\n        # https://dftb.org/parameters/download/pbc/pbc-0-3-cc\n        for ele in atom_types:\n            if ele == \"H\":\n                kwargs[\"Hamiltonian_MaxAngularMomentum_H\"] = \"s\"\n            elif ele in [\"C\", \"O\", \"N\", \"F\"]:\n                kwargs[\"Hamiltonian_MaxAngularMomentum_\" + ele] = \"p\"\n            elif ele in [\"Si\", \"Fe\"]:\n                kwargs[\"Hamiltonian_MaxAngularMomentum_\" + ele] = \"d\"\n            else:\n                raise RuntimeError(\"pbc-0-3 doesnot support\", ele)\n    elif calc_type in [\"matsci\", \"mio\"]:\n        # https://dftb.org/parameters/download/pbc/pbc-0-3-cc\n        for ele in atom_types:\n            if ele == \"H\":\n                kwargs[\"Hamiltonian_MaxAngularMomentum_H\"] = \"s\"\n            elif ele in [\"B\", \"O\", \"C\", \"N\"]:\n                kwargs[\"Hamiltonian_MaxAngularMomentum_\" + ele] = \"p\"\n            elif ele in [\"Si\"]:\n                kwargs[\"Hamiltonian_MaxAngularMomentum_\" + ele] = \"d\"\n            else:\n                raise RuntimeError(calc_type, \"doesnot support\", ele)\n\n    # DFTB2\n\n    # pbc-0-3\n    # matsci\n    # ob2\n    # pbc\n    # print(calc_type, kwargs)\n    return kwargs\n\n\ndef DFTB_relax(\n    struc,\n    skf_dir,\n    opt_cell=False,\n    step=500,\n    fmax=0.1,\n    kresol=0.10,\n    folder=\"tmp\",\n    disp=\"D3\",\n    mask=None,\n    symmetrize=True,\n    logfile=None,\n    scc_error=1e-6,\n    scc_iter=500,\n    use_omp=False,\n):\n    \"\"\"\n    DFTB optimizer based on ASE\n\n    Args:\n        struc: ase atoms object\n        mode: [`single`, `relax`, `vc_relax`] (str)\n        step: optimization steps (int)\n        mask: apply constraints on strain\n    \"\"\"\n    if not os.path.exists(folder):\n        os.makedirs(folder)\n    cwd = os.getcwd()\n    os.chdir(folder)\n    if type(kresol) != list:\n        kpts = Kgrid(struc, kresol)\n    atom_types = set(struc.get_chemical_symbols())\n    kwargs = make_Hamiltonian(skf_dir, atom_types, disp, kpts, scc_error=scc_error, use_omp=use_omp)\n\n    calc = Dftb(\n        label=\"test\",\n        atoms=struc,\n        kpts=kpts,\n        **kwargs,\n    )\n    struc.set_calculator(calc)\n\n    # impose symmetry\n    if symmetrize:\n        struc.set_constraint(FixSymmetry(struc))\n\n    # impose cell constraints\n    if opt_cell:\n        ecf = UnitCellFilter(struc, mask=mask)\n        dyn = FIRE(ecf, logfile=logfile)\n    else:\n        dyn = FIRE(struc, logfile=logfile)\n\n    try:\n        dyn.run(fmax=fmax, steps=step)\n        os.remove(\"dftb_pin.hsd\")\n        os.remove(\"geo_end.gen\")\n        os.remove(\"charges.bin\")\n    except:\n        print(\"Problem in DFTB calculation\")\n        struc = None\n\n    os.chdir(cwd)\n    return struc\n\n\ndef DFTB_SCF(struc, skf_dir, kresol=0.10, folder=\"tmp\", disp=None, filename=None):\n    \"\"\"\n    DFTB SCF to get band structure\n\n    Args:\n        struc: ase atoms object\n        skf_dir:\n        kresol:\n        filename: band structure output\n    \"\"\"\n    if not os.path.exists(folder):\n        os.makedirs(folder)\n    cwd = os.getcwd()\n    os.chdir(folder)\n\n    kpts = Kgrid(struc, kresol)\n    atom_types = set(struc.get_chemical_symbols())\n    kwargs = make_Hamiltonian(skf_dir, atom_types, disp, kpts, write_band=True)\n\n    calc = Dftb(\n        label=\"test\",\n        atoms=struc,\n        kpts=kpts,\n        **kwargs,\n    )\n\n    struc.set_calculator(calc)\n    struc.get_potential_energy()\n    eigvals = calc.read_eigenvalues()[0]\n    ne = calc.read_electrons()\n    nband = int(ne / 2)\n    vbm = eigvals[:, nband - 1].max()\n    cbm = eigvals[:, nband].min()\n    gap = cbm - vbm\n    # if filename is not None:\n    #    # plot band structure\n    os.chdir(cwd)\n    return gap\n\n\nclass DFTB:\n    \"\"\"\n    Modified DFTB calculator\n\n    Args:\n        struc: ase atoms object\n        disp: dispersion (D3, D30, TS, MBD))\n        step: optimization steps (int)\n        kresol: kpoint resolution (float)\n        folder: (str)\n        label: (str)\n        use_omp: True/False\n    \"\"\"\n\n    def __init__(\n        self,\n        struc,\n        skf_dir,\n        disp=\"D3\",\n        kresol=0.10,\n        folder=\"tmp\",\n        label=\"test\",\n        prefix=\"geo_final\",\n        use_omp=False,\n        scc_error=1e-6,\n        scc_iter=500,\n    ):\n        self.struc = struc\n        self.skf_dir = skf_dir\n        self.folder = folder\n        self.kresol = kresol\n        self.disp = disp\n        self.label = label\n        self.kpts = Kgrid(struc, kresol)\n        self.prefix = prefix\n        self.use_omp = use_omp\n        self.scc_error = scc_error\n        self.scc_iter = scc_iter\n        if not os.path.exists(self.folder):\n            os.makedirs(self.folder)\n\n    def get_calculator(self, mode, step=500, ftol=1e-3, FixAngles=False, eVperA=True, md_params=None):\n        \"\"\"\n        get the ase style calculator\n\n        Args:\n            mode: ['single', 'relax', 'vc_relax'] (str)\n            step: relaxation steps (int)\n            ftol: force tolerance (float)\n            FixAngles: Fix angles between lattice vectors\n            eVperA: unit in eV/A\n\n        Returns:\n            ase calculator\n        \"\"\"\n        if md_params is None:\n            md_params = {}\n        if eVperA:\n            ftol *= 0.194469064593167e-01\n        atom_types = set(self.struc.get_chemical_symbols())\n        kwargs = make_Hamiltonian(\n            self.skf_dir,\n            atom_types,\n            self.disp,\n            self.kpts,\n            scc_error=self.scc_error,\n            scc_iter=self.scc_iter,\n            use_omp=self.use_omp,\n        )\n\n        if mode in [\"relax\", \"vc-relax\"]:\n            # kwargs['Driver_'] = 'ConjugateGradient'\n            kwargs[\"Driver_\"] = \"GeometryOptimization\"\n            kwargs[\"Driver_Optimizer\"] = \"FIRE {}\"\n            # kwargs['Driver_MaxForceComponent'] = ftol\n            kwargs[\"Driver_MaxSteps\"] = step\n            kwargs[\"Driver_OutputPrefix\"] = self.prefix\n            kwargs[\"Driver_Convergence_\"] = \"\"\n            kwargs[\"Driver_Convergence_GradElem\"] = ftol\n\n            if mode == \"vc-relax\":\n                kwargs[\"Driver_MovedAtoms\"] = \"1:-1\"\n                kwargs[\"Driver_LatticeOpt\"] = \"Yes\"\n                if FixAngles:\n                    kwargs[\"Driver_FixAngles\"] = \"Yes\"\n\n        elif mode in [\"nve\", \"nvt\", \"npt\"]:\n            # 1fs = 41.3 au\n            # 1000K = 0.0031668 au\n            dicts = {\n                \"temperature\": 300,\n                \"pressure\": 1e5,  # 1atm\n                \"timestep\": 1,\n                \"Thermostat\": \"NoseHoover\",\n                \"MDRestartFrequency\": 1000,\n                \"band\": \"No\",\n            }\n            dicts.update(md_params)\n\n            kwargs[\"Analysis_WriteBandOut\"] = dicts[\"band\"]\n            kwargs[\"Driver_\"] = \"VelocityVerlet\"\n            kwargs[\"Driver_Steps\"] = step\n            kwargs[\"Driver_TimeStep [fs]\"] = dicts[\"timestep\"]\n            kwargs[\"Driver_MDRestartFrequency\"] = dicts[\"MDRestartFrequency\"]\n            kwargs[\"Driver_MovedAtoms\"] = \"1:-1\"\n            kwargs[\"Driver_OutputPrefix\"] = self.prefix\n\n            if mode in [\"nvt\", \"npt\"]:\n                kwargs[\"Driver_Thermostat_\"] = dicts[\"Thermostat\"]\n                kwargs[\"Driver_Thermostat_Temperature [Kelvin]\"] = dicts[\"temperature\"]\n                kwargs[\"Driver_Thermostat_CouplingStrength [cm^-1]\"] = 3200\n\n                if mode == \"npt\":\n                    kwargs[\"Driver_Barostat_\"] = \"\"\n                    kwargs[\"Driver_Barostat_Pressure [Pa]\"] = dicts[\"pressure\"]\n                    kwargs[\"Driver_Barostat_Timescale [ps]\"] = 0.1\n\n        return Dftb(\n            label=self.label,\n            # run_manyDftb_steps=True,\n            atoms=self.struc,\n            kpts=self.kpts,\n            **kwargs,\n        )\n\n    def run(self, mode, step=500, ftol=1e-3, FixAngles=False, md_params=None):\n        \"\"\"\n        execute the actual calculation\n        \"\"\"\n        from time import time\n\n        if md_params is None:\n            md_params = {}\n        t0 = time()\n        cwd = os.getcwd()\n        os.chdir(self.folder)\n\n        self.calc = self.get_calculator(mode, step, ftol, FixAngles, md_params=md_params)\n        self.struc.set_calculator(self.calc)\n        # self.struc.write('geo_o.gen', format='dftb')\n        # execute the simulation\n        self.calc.calculate(self.struc)\n        final = read(self.prefix + \".gen\") if mode in [\"relax\", \"vc-relax\"] else self.struc\n\n        # get the final energy\n        energy = self.struc.get_potential_energy()\n\n        with open(self.label + \".out\") as f:\n            l = f.readlines()\n            self.version = l[2]\n        os.chdir(cwd)\n        self.time = time() - t0\n        return final, energy\n\n\nclass Dftb(FileIOCalculator):\n    \"\"\"This module defines a FileIOCalculator for DFTB+\n\n    http://www.dftbplus.org/\n    http://www.dftb.org/\n\n    Initial development: markus.kaukonen@iki.fi\n    Modified by QZ to avoid the I/O load\n    \"\"\"\n\n    command = os.environ[\"DFTB_COMMAND\"] + \" > PREFIX.out\" if \"DFTB_COMMAND\" in os.environ else \"dftb+ > PREFIX.out\"\n\n    implemented_properties = [\"energy\", \"forces\", \"stress\"]\n    discard_results_on_any_change = True\n\n    def __init__(\n        self,\n        restart=None,\n        ignore_bad_restart_file=FileIOCalculator._deprecated,\n        label=\"dftb\",\n        atoms=None,\n        kpts=None,\n        slako_dir=None,\n        **kwargs,\n    ):\n        \"\"\"\n        All keywords for the dftb_in.hsd input file (see the DFTB+ manual)\n        can be set by ASE. Consider the following input file block:\n\n        >>> Hamiltonian = DFTB {\n        >>>     SCC = Yes\n        >>>     SCCTolerance = 1e-8\n        >>>     MaxAngularMomentum = {\n        >>>         H = s\n        >>>         O = p\n        >>>     }\n        >>> }\n\n        This can be generated by the DFTB+ calculator by using the\n        following settings:\n\n        >>> calc = Dftb(Hamiltonian_='DFTB',  # line is included by default\n        >>>             Hamiltonian_SCC='Yes',\n        >>>             Hamiltonian_SCCTolerance=1e-8,\n        >>>             Hamiltonian_MaxAngularMomentum_='',\n        >>>             Hamiltonian_MaxAngularMomentum_H='s',\n        >>>             Hamiltonian_MaxAngularMomentum_O='p')\n\n        In addition to keywords specific to DFTB+, also the following keywords\n        arguments can be used:\n\n        restart: str\n            Prefix for restart file.  May contain a directory.\n            Default is None: don't restart.\n        ignore_bad_restart_file: bool\n            Ignore broken or missing restart file. By default, it is an\n            error if the restart file is missing or broken.\n        label: str (default 'dftb')\n            Prefix used for the main output file (<label>.out).\n        atoms: Atoms object (default None)\n            Optional Atoms object to which the calculator will be\n            attached. When restarting, atoms will get its positions and\n            unit-cell updated from file.\n        kpts: (default None)\n            Brillouin zone sampling:\n\n            * ``(1,1,1)`` or ``None``: Gamma-point only\n            * ``(n1,n2,n3)``: Monkhorst-Pack grid\n            * ``dict``: Interpreted as a path in the Brillouin zone if\n              it contains the 'path_' keyword. Otherwise it is converted\n              into a Monkhorst-Pack grid using\n              ``ase.calculators.calculator.kpts2sizeandoffsets``\n            * ``[(k11,k12,k13),(k21,k22,k23),...]``: Explicit (Nkpts x 3)\n              array of k-points in units of the reciprocal lattice vectors\n              (each with equal weight)\n\n        \"\"\"\n\n        if slako_dir is None:\n            slako_dir = os.environ.get(\"DFTB_PREFIX\", \"./\")\n            if not slako_dir.endswith(\"/\"):\n                slako_dir += \"/\"\n\n        self.slako_dir = slako_dir\n\n        self.default_parameters = dict(\n            Hamiltonian_=\"DFTB\",\n            Hamiltonian_SlaterKosterFiles_=\"Type2FileNames\",\n            Hamiltonian_SlaterKosterFiles_Prefix=self.slako_dir,\n            Hamiltonian_SlaterKosterFiles_Separator='\"-\"',\n            Hamiltonian_SlaterKosterFiles_Suffix='\".skf\"',\n            Hamiltonian_MaxAngularMomentum_=\"\",\n            Options_=\"\",\n            Options_WriteResultsTag=\"Yes\",\n            Options_WriteDetailedOut=\"No\",\n        )\n\n        self.lines = None\n        self.atoms = None\n        self.atoms_input = None\n        self.outfilename = \"dftb.out\"\n\n        FileIOCalculator.__init__(self, restart, ignore_bad_restart_file, label, atoms, **kwargs)\n\n        # kpoint stuff by ase\n        self.kpts = kpts\n        self.kpts_coord = None\n\n        if self.kpts is not None:\n            initkey = \"Hamiltonian_KPointsAndWeights\"\n            mp_mesh = None\n            offsets = None\n\n            if isinstance(self.kpts, dict):\n                if \"path\" in self.kpts:\n                    # kpts is path in Brillouin zone\n                    self.parameters[initkey + \"_\"] = \"Klines \"\n                    self.kpts_coord = kpts2ndarray(self.kpts, atoms=atoms)\n                else:\n                    # kpts is (implicit) definition of\n                    # Monkhorst-Pack grid\n                    self.parameters[initkey + \"_\"] = \"SupercellFolding \"\n                    mp_mesh, offsets = kpts2sizeandoffsets(atoms=atoms, **self.kpts)\n            elif np.array(self.kpts).ndim == 1:\n                # kpts is Monkhorst-Pack grid\n                self.parameters[initkey + \"_\"] = \"SupercellFolding \"\n                mp_mesh = self.kpts\n                offsets = [0.0] * 3\n            elif np.array(self.kpts).ndim == 2:\n                # kpts is (N x 3) list/array of k-point coordinates\n                # each will be given equal weight\n                self.parameters[initkey + \"_\"] = \"\"\n                self.kpts_coord = np.array(self.kpts)\n            else:\n                raise ValueError(\"Illegal kpts definition:\" + str(self.kpts))\n\n            if mp_mesh is not None:\n                eps = 1e-10\n                for i in range(3):\n                    key = initkey + \"_empty%03d\" % i\n                    val = [mp_mesh[i] if j == i else 0 for j in range(3)]\n                    self.parameters[key] = \" \".join(map(str, val))\n                    offsets[i] *= mp_mesh[i]\n                    assert abs(offsets[i]) < eps or abs(offsets[i] - 0.5) < eps\n                    # DFTB+ uses a different offset convention, where\n                    # the k-point mesh is already Gamma-centered prior\n                    # to the addition of any offsets\n                    if mp_mesh[i] % 2 == 0:\n                        offsets[i] += 0.5\n                key = initkey + \"_empty%03d\" % 3\n                self.parameters[key] = \" \".join(map(str, offsets))\n\n            elif self.kpts_coord is not None:\n                for i, c in enumerate(self.kpts_coord):\n                    key = initkey + \"_empty%09d\" % i\n                    c_str = \" \".join(map(str, c))\n                    if \"Klines\" in self.parameters[initkey + \"_\"]:\n                        c_str = \"1 \" + c_str\n                    else:\n                        c_str += \" 1.0\"\n                    self.parameters[key] = c_str\n\n    def write_dftb_in(self, outfile):\n        \"\"\"Write the innput file for the dftb+ calculation.\n        Geometry is taken always from the file 'geo_end.gen'.\n        \"\"\"\n\n        outfile.write(\"Geometry = GenFormat { \\n\")\n        outfile.write('    <<< \"geo_end.gen\" \\n')\n        outfile.write(\"} \\n\")\n        outfile.write(\" \\n\")\n\n        params = self.parameters.copy()\n\n        s = \"Hamiltonian_MaxAngularMomentum_\"\n        for key in params:\n            if key.startswith(s) and len(key) > len(s):\n                break\n        # --------MAIN KEYWORDS-------\n        previous_key = \"dummy_\"\n        myspace = \" \"\n        for key, value in sorted(params.items()):\n            current_depth = key.rstrip(\"_\").count(\"_\")\n            previous_depth = previous_key.rstrip(\"_\").count(\"_\")\n            for my_backsclash in reversed(range(previous_depth - current_depth)):\n                outfile.write(3 * (1 + my_backsclash) * myspace + \"} \\n\")\n            outfile.write(3 * current_depth * myspace)\n            if key.endswith(\"_\") and len(value) > 0:\n                outfile.write(key.rstrip(\"_\").rsplit(\"_\")[-1] + \" = \" + str(value) + \"{ \\n\")\n            elif key.endswith(\"_\") and (len(value) == 0) and current_depth == 0:  # E.g. 'Options {'\n                outfile.write(key.rstrip(\"_\").rsplit(\"_\")[-1] + \" \" + str(value) + \"{ \\n\")\n            elif key.endswith(\"_\") and (len(value) == 0) and current_depth > 0:  # E.g. 'Hamiltonian_Max... = {'\n                outfile.write(key.rstrip(\"_\").rsplit(\"_\")[-1] + \" = \" + str(value) + \"{ \\n\")\n            elif key.count(\"_empty\") == 1:\n                outfile.write(str(value) + \" \\n\")\n            else:\n                outfile.write(key.rsplit(\"_\")[-1] + \" = \" + str(value) + \" \\n\")\n            previous_key = key\n        current_depth = key.rstrip(\"_\").count(\"_\")\n        for my_backsclash in reversed(range(current_depth)):\n            outfile.write(3 * my_backsclash * myspace + \"} \\n\")\n        outfile.write(\"ParserOptions { \\n\")\n        outfile.write(\"   IgnoreUnprocessedNodes = Yes  \\n\")\n        outfile.write(\"} \\n\")\n\n    def check_state(self, atoms):\n        system_changes = FileIOCalculator.check_state(self, atoms)\n        # Ignore unit cell for molecules:\n        if not atoms.pbc.any() and \"cell\" in system_changes:\n            system_changes.remove(\"cell\")\n        return system_changes\n\n    def write_input(self, atoms, properties=None, system_changes=None):\n        from ase.io import write\n\n        FileIOCalculator.write_input(self, atoms, properties, system_changes)\n        with open(os.path.join(self.directory, \"dftb_in.hsd\"), \"w\") as fd:\n            self.write_dftb_in(fd)\n        write(os.path.join(self.directory, \"geo_end.gen\"), atoms, parallel=False)\n        # self.atoms is none until results are read out,\n        # then it is set to the ones at writing input\n        self.atoms_input = atoms\n        self.atoms = None\n\n    def read_results(self):\n        \"\"\"all results are read from results.tag file\n        It will be destroyed after it is read to avoid\n        reading it once again after some runtime error\"\"\"\n        with open(os.path.join(self.directory, \"results.tag\")) as fd:\n            self.lines = fd.readlines()\n        if len(self.lines) == 0:\n            # print(\"READ RESULTS from test.out\")\n            self.results[\"energy\"] = self.read_energy()\n            self.results[\"forces\"] = None\n            self.results[\"stress\"] = None\n        else:\n            self.atoms = self.atoms_input\n            self.results[\"energy\"] = float(self.lines[1]) * Hartree\n            forces = self.read_forces()\n            self.results[\"forces\"] = forces\n\n            # stress stuff begins\n            sstring = \"stress\"\n            have_stress = False\n            stress = list()\n            for iline, line in enumerate(self.lines):\n                if sstring in line:\n                    have_stress = True\n                    start = iline + 1\n                    end = start + 3\n                    for i in range(start, end):\n                        cell = [float(x) for x in self.lines[i].split()]\n                        stress.append(cell)\n            if have_stress:\n                stress = -np.array(stress) * Hartree / Bohr**3\n                self.results[\"stress\"] = stress.flat[[0, 4, 8, 5, 2, 1]]\n            # stress stuff ends\n\n            # calculation was carried out with atoms written in write_input\n            os.remove(os.path.join(self.directory, \"results.tag\"))\n\n    def read_energy(self):\n        \"\"\"\n        If SCC is not converged, read the last step energy from test.out\n        \"\"\"\n        outfile = self.label + \".out\"\n        energies = []\n        with open(os.path.join(self.directory, outfile)) as fd:\n            lines = fd.readlines()\n        for line in lines:\n            m = re.match(r\"Total Energy:\\s+[-\\d.]+ H\\s+([-.\\d]+) eV\", line)\n            if m:\n                energies.append(float(m.group(1)))\n        if len(energies) > 0:\n            return energies[-1]\n        else:\n            try:\n                #   100   -0.38553421E+03    0.29798304E-03    0.12389437E-01\n                # ERROR!\n                # -> SCC is NOT converged, maximal SCC iterations exceeded\n                print(\"Cannot read energy from this file\", os.getcwd())\n                return float(lines[-3].split()[1]) * 27.2114  # hatree to eV\n            except:\n                return 1.0e5\n\n    def read_forces(self):\n        \"\"\"Read Forces from dftb output file (results.tag).\"\"\"\n\n        # Initialise the indices so their scope\n        # reaches outside of the for loop\n        index_force_begin = -1\n        index_force_end = -1\n\n        # Force line indexes\n        fstring = \"forces   \"\n        for iline, line in enumerate(self.lines):\n            if line.find(fstring) >= 0:\n                index_force_begin = iline + 1\n                line1 = line.replace(\":\", \",\")\n                index_force_end = iline + 1 + int(line1.split(\",\")[-1])\n                break\n        gradients = []\n        for j in range(index_force_begin, index_force_end):\n            word = self.lines[j].split()\n            gradients.append([float(word[k]) for k in range(3)])\n        return np.array(gradients) * Hartree / Bohr\n\n    def read_eigenvalues(self):\n        \"\"\"Read Eigenvalues from dftb output file (results.tag).\n        Unfortunately, the order seems to be scrambled.\"\"\"\n        # Eigenvalue line indexes\n        index_eig_begin = None\n        for iline, line in enumerate(self.lines):\n            fstring = \"eigenvalues   \"\n            if line.find(fstring) >= 0:\n                index_eig_begin = iline + 1\n                line1 = line.replace(\":\", \",\")\n                ncol, nband, nkpt, nspin = map(int, line1.split(\",\")[-4:])\n                break\n        else:\n            return None\n\n        # Take into account that the last row may lack\n        # columns if nkpt * nspin * nband % ncol != 0\n        nrow = int(np.ceil(nkpt * nspin * nband * 1.0 / ncol))\n        index_eig_end = index_eig_begin + nrow\n        ncol_last = len(self.lines[index_eig_end - 1].split())\n        if ncol - ncol_last > 0:\n            self.lines[index_eig_end - 1] = self.lines[index_eig_end - 1].replace(\"\\n\", \"\")\n            self.lines[index_eig_end - 1] += \" 0.0 \" * (ncol - ncol_last)\n            self.lines[index_eig_end - 1] += \"\\n\"\n        eig = np.loadtxt(self.lines[index_eig_begin:index_eig_end]).flatten()\n        eig *= Hartree\n        N = nkpt * nband\n        return [eig[i * N : (i + 1) * N].reshape((nkpt, nband)) for i in range(nspin)]\n\n    def read_fermi_levels(self):\n        \"\"\"Read Fermi level(s) from dftb output file (results.tag).\"\"\"\n        # Fermi level line indexes\n        for iline, line in enumerate(self.lines):\n            fstring = \"fermi_level   \"\n            if line.find(fstring) >= 0:\n                index_fermi = iline + 1\n                break\n        else:\n            return None\n\n        fermi_levels = []\n        words = self.lines[index_fermi].split()\n        assert len(words) in [1, 2], \"Expected either 1 or 2 Fermi levels\"\n\n        for word in words:\n            e = float(word)\n            # In non-spin-polarized calculations with DFTB+ v17.1,\n            # two Fermi levels are given, with the second one being 0,\n            # but we don't want to add that one to the list\n            if abs(e) > 1e-8:\n                fermi_levels.append(e)\n\n        return np.array(fermi_levels) * Hartree\n\n    def read_electrons(self):\n        \"\"\"read number o electrons\"\"\"\n        for iline, line in enumerate(self.lines):\n            fstring = \"number_of_electrons\"\n            if line.find(fstring) >= 0:\n                index_ele = iline + 1\n                break\n        return float(self.lines[index_ele].split(\"\\n\")[0])\n\n\nif __name__ == \"__main__\":\n    from ase.build import bulk\n\n    skf_dir = os.environ[\"DFTB_PREFIX\"] + \"pbc-0-3/\"\n    # skf_dir = os.environ['DFTB_PREFIX'] + '3ob-3-1/'\n\n    struc = bulk(\"Si\", \"diamond\", cubic=True)\n    struc.set_cell(1.1 * struc.cell)\n    for mode in [\"single\", \"relax\", \"vc-relax\", \"npt\"]:\n        my = DFTB(struc, skf_dir)\n        struc, energy = my.run(mode)\n        res = f\"{mode:8s} \"\n        res += f\"{struc.cell[0, 0]:8.4f} \"\n        res += f\"{struc.cell[1, 1]:8.4f} \"\n        res += f\"{struc.cell[2, 2]:8.4f} \"\n        res += f\"{energy:12.4f}\"\n        print(res)\n    # gap = DFTB_SCF(struc, skf_dir)\n    # print(gap)"
  },
  {
    "path": "pyxtal/interface/gulp.py",
    "content": "import os\nimport re\nimport shutil\nimport subprocess\n\nimport numpy as np\nfrom ase import Atoms\nfrom ase.units import Ang, eV\n\nfrom pyxtal import pyxtal\nfrom pyxtal.lattice import Lattice\n\nat_types = {\n    \"C_c\": \"C1\",  #  =  Sp2 C carbonyl group\n    \"C_cs\": \"C2\",  # =  Sp2 C in c=S\n    \"C_c1\": \"C3\",  #  Sp C\n    \"C_c2\": \"C4\",  # Sp2 C\n    \"C_c3\": \"C5\",  # =  Sp3 C\n    \"C_ca\": \"C6\",  # Sp2 C in pure aromatic systems\n    \"C_cp\": \"C7\",  # Head Sp2 C that connect two rings in biphenyl sys.\n    \"C_cq\": \"C8\",  # Head Sp2 C that connect two rings in biphenyl sys. identical to cp\n    \"C_cc\": \"C9\",  # Sp2 carbons in non-pure aromatic systems\n    \"C_cd\": \"C10\",  # Sp2 carbons in non-pure aromatic systems, identical to cc\n    \"C_ce\": \"C11\",  # Inner Sp2 carbons in conjugated systems\n    \"C_cf\": \"C12\",  # Inner Sp2 carbons in conjugated systems, identical to ce\n    \"C_cg\": \"C13\",  # Inner Sp carbons in conjugated systems\n    \"C_ch\": \"C14\",  # Inner Sp carbons in conjugated systems, identical to cg\n    \"C_cx\": \"C15\",  # Sp3 carbons in triangle systems\n    \"C_cy\": \"C14\",  # Sp3 carbons in square systems\n    \"C_cu\": \"C16\",  # Sp2 carbons in triangle systems\n    \"C_cv\": \"C17\",  # Sp2 carbons in square systems\n    \"C_cz\": \"C18\",  # Sp2 carbon in guanidine group\n    \"H_h1\": \"H1\",  # H bonded to aliphatic carbon with 1 electrwd. group\n    \"H_h2\": \"H2\",  # H bonded to aliphatic carbon with 2 electrwd. group\n    \"H_h3\": \"H3\",  # H bonded to aliphatic carbon with 3 electrwd. group\n    \"H_h4\": \"H4\",  # H bonded to non-sp3 carbon with 1 electrwd. group\n    \"H_h5\": \"H5\",  # H bonded to non-sp3 carbon with 2 electrwd. group\n    \"H_ha\": \"H6\",  # H bonded to aromatic carbon\n    \"H_hc\": \"H7\",  # H bonded to aliphatic carbon without electrwd. group\n    \"H_hn\": \"H8\",  # H bonded to nitrogen atoms\n    \"H_ho\": \"H9\",  # Hydroxyl group\n    \"H_hp\": \"H10\",  # H bonded to phosphate\n    \"H_hs\": \"H11\",  # Hydrogen bonded to sulphur\n    \"H_hw\": \"H12\",  # Hydrogen in water\n    \"H_hx\": \"H13\",  # H bonded to C next to positively charged group\n    \"F\": \"F\",  # Fluorine\n    \"Cl\": \"Cl\",  # Chlorine\n    \"Br\": \"Br\",  # Bromine\n    \"I\": \"I\",  #  Iodine\n    \"N_n\": \"N1\",  # Sp2 nitrogen in amide groups\n    \"N_n1\": \"N2\",  # Sp N\n    \"N_n2\": \"N3\",  # aliphatic Sp2 N with two connected atoms\n    \"N_n3\": \"N4\",  # Sp3 N with three connected atoms\n    \"N_n4\": \"N5\",  # Sp3 N with four connected atoms\n    \"N_na\": \"N6\",  # Sp2 N with three connected atoms\n    \"N_nb\": \"N7\",  # Sp2 N in pure aromatic systems\n    \"N_nc\": \"N8\",  # Sp2 N in non-pure aromatic systems\n    \"N_nd\": \"N9\",  # Sp2 N in non-pure aromatic systems, identical to nc\n    \"N_ne\": \"N10\",  # Inner Sp2 N in conjugated systems\n    \"N_nf\": \"N11\",  # Inner Sp2 N in conjugated systems, identical to ne\n    \"N_nh\": \"N12\",  # Amine N connected one or more aromatic rings\n    \"N_no\": \"N13\",  # Nitro N\n    \"N_ns\": \"N14\",  # amind N, with 1 attached hydrogen atom\n    \"N_nt\": \"N15\",  # amide N, with 2 attached hydrogen atoms\n    \"N_nx\": \"N16\",  # like n4, but only has one hydrogen atom\n    \"N_ny\": \"N17\",  # like n4, but only has two hydrogen atoms\n    \"N_nz\": \"N18\",  # like n4, but only has three three hydrogen atoms\n    \"N_n+\": \"N19\",  # NH4+\n    \"N_nu\": \"N20\",  # like nh, but only has one attached hydrogen atom\n    \"N_nv\": \"N21\",  # like nh, but only has two attached hydrogen atoms\n    \"N_n7\": \"N22\",  # like n3, but only has one attached hydrogen atom\n    \"N_n8\": \"N23\",  # like n3, but only has two attached hydrogen atoms\n    \"N_n9\": \"N24\",  # NH3\n    \"O_o\": \"O1\",  # Oxygen with one connected atom\n    \"O_oh\": \"O2\",  # Oxygen in hydroxyl group\n    \"O_os\": \"O3\",  # Ether and ester oxygen\n    \"O_ow\": \"O4\",  # Oxygen in water\n    \"P_p2\": \"P1\",  # Phosphate with two connected atoms\n    \"P_p3\": \"P2\",  # Phosphate with three connected atoms, such as PH3\n    \"P_p4\": \"P3\",  # Phosphate with three connected atoms, such as O=P(CH3)2\n    \"P_p5\": \"P4\",  # Phosphate with four connected atoms, such as O=P(OH)3\n    \"P_pb\": \"P5\",  # Sp2 P in pure aromatic systems\n    \"P_pc\": \"P6\",  # Sp2 P in non-pure aromatic systems\n    \"P_pd\": \"P7\",  # Sp2 P in non-pure aromatic systems, identical to pc\n    \"P_pe\": \"P8\",  # Inner Sp2 P in conjugated systems\n    \"P_pf\": \"P9\",  # Inner Sp2 P in conjugated systems, identical to pe\n    \"P_px\": \"P10\",  # Special p4 in conjugated systems\n    \"P_py\": \"P11\",  # Special p5 in conjugated systems\n    \"S_s\": \"S1\",  # S with one connected atom\n    \"S_s2\": \"S2\",  # S with two connected atom, involved at least one double bond\n    \"S_s4\": \"S3\",  # S with three connected atoms\n    \"S_s6\": \"S4\",  # S with four connected atoms\n    \"S_sh\": \"S5\",  # Sp3 S connected with hydrogen\n    \"S_ss\": \"S6\",  # Sp3 S in thio-ester and thio-ether\n    \"S_sx\": \"S7\",  # Special s4 in conjugated systems\n    \"S_sy\": \"S8\",  # Special s6 in conjugated systems\n}\n\n\nclass GULP:\n    \"\"\"\n    A calculator to perform atomic structure optimization in GULP\n\n    Args:\n\n    struc: structure object generated by Pyxtal\n    ff: path of forcefield lib\n    opt: `conv`, `conp`, `single`\n    pstress (float): external pressure\n    steps (int): relaxation steps\n    symm (bool): whether or not impose the symmetry\n    \"\"\"\n\n    def __init__(\n        self,\n        struc,\n        label=\"_\",\n        path=\"tmp\",\n        ff=\"reaxff\",\n        pstress=None,\n        opt=\"conp\",\n        steps=1000,\n        exe=\"gulp\",\n        input=\"gulp.in\",\n        output=\"gulp.log\",\n        dump=None,\n        symmetry=False,\n        labels=None,\n        timeout=3600,\n    ):\n        if isinstance(struc, pyxtal):\n            self.pyxtal = struc\n            self.species = struc.species\n            struc = struc.to_ase(resort=False)\n        else:\n            self.pyxtal = None\n\n        if isinstance(struc, Atoms):\n            self.lattice = Lattice.from_matrix(struc.cell)\n            self.frac_coords = struc.get_scaled_positions()\n            self.sites = struc.get_chemical_symbols()\n            self.species = None\n        else:\n            raise NotImplementedError(\"only support ASE atoms object\")\n\n        self.symmetry = symmetry  # ; print(self.pyxtal.lattice.ltype)\n        self.structure = struc\n        self.pstress = pstress\n        self.label = label\n        self.labels = labels\n        self.ff = ff\n        self.opt = opt\n        self.exe = exe\n        self.steps = steps\n        self.folder = path\n        if not os.path.exists(self.folder):\n            os.makedirs(self.folder)\n        self.input  = self.label + input\n        self.output = self.label + output\n        self.dump = dump\n        self.iter = 0\n        self.energy = None\n        self.energy_per_atom = None\n        self.stress = None\n        self.forces = None\n        self.positions = None\n        self.optimized = False\n        self.cputime = 0\n        self.error = False\n        self.timeout = timeout\n\n    def set_catlow(self):\n        \"\"\"\n        set the atomic label for catlow potentials\n        O_O2- general O2- species\n        O_OH oxygen in hydroxyl group\n        H_OH hydrogen in hydroxyl group\n        \"\"\"\n\n    def run(self, clean=True):\n        \"\"\"\n        Always go to the directory to run one gulp at once\n        \"\"\"\n        cwd = os.getcwd()\n        os.chdir(self.folder)\n        self.write()\n        self.execute()\n        self.read()\n        if clean:\n            self.clean()\n        os.chdir(cwd)\n\n    def execute(self):\n        cmd = self.exe + \"<\" + self.input + \">\" + self.output\n        # os.system(cmd)\n        with open(os.devnull, 'w') as devnull:\n            try:\n                # Run the external command with a timeout\n                result = subprocess.run(\n                    cmd, shell=True, timeout=self.timeout, check=True, stderr=devnull)\n                return result.returncode  # Or handle the result as needed\n            except subprocess.CalledProcessError as e:\n                print(f\"Command '{cmd}' failed with return code {e.returncode}.\")\n                return None\n            except subprocess.TimeoutExpired:\n                print(f\"External command {cmd} timed out.\")\n                return None\n\n    def clean(self):\n        if self.error:\n            os.system(\"mv \" + self.input + \" \" + self.input + \"_error\")\n            os.system(\"mv \" + self.output + \" \" + self.output + \"_error\")\n        else:\n            os.remove(self.input)\n            os.remove(self.output)\n        if self.dump is not None:\n            os.remove(self.dump)\n\n    def to_ase(self):\n        return Atoms(self.sites, scaled_positions=self.frac_coords, cell=self.lattice.matrix)\n\n    def to_pymatgen(self):\n        from pymatgen.core.structure import Structure\n\n        return Structure(self.lattice.matrix, self.sites, self.frac_coords)\n\n    def to_pyxtal(self):\n        ase_atoms = self.to_ase()\n        for tol in [1e-2, 1e-3, 1e-4, 1e-5]:\n            try:\n                struc = pyxtal()\n                struc.from_seed(ase_atoms, tol=tol)\n                break\n            except:\n                pass\n                # print('Something is wrong', tol)\n                # struc.from_seed('bug.vasp', tol*10)\n        return struc\n\n    def write(self):\n        a, b, c, alpha, beta, gamma = self.lattice.get_para(degree=True)\n\n        with open(self.input, \"w\") as f:\n            if self.opt == \"conv\":\n                f.write(f\"opti stress {self.opt:s} conjugate \")\n            elif self.opt == \"single\":\n                f.write(\"grad conp stress \")\n            else:\n                f.write(f\"opti stress {self.opt:s} conjugate \")\n\n            if not self.symmetry:\n                f.write(\"nosymmetry\\n\")\n\n            f.write(\"\\ncell\\n\")\n            f.write(f\"{a:12.6f}{b:12.6f}{c:12.6f}{alpha:12.6f}{beta:12.6f}{gamma:12.6f}\\n\")\n            f.write(\"\\nfractional\\n\")\n\n            if self.symmetry and self.pyxtal is not None:\n                # Use pyxtal here\n                for site in self.pyxtal.atom_sites:\n                    symbol, coord = site.specie, site.position\n                    f.write(\"{:4s} {:12.6f} {:12.6f} {:12.6f} core \\n\".format(symbol, *coord))\n                    if self.ff == \"catlow\" and symbol == \"O\":\n                        f.write(\"{:4s} {:12.6f} {:12.6f} {:12.6f} shell \\n\".format(symbol, *coord))\n\n                # Tested for all space groups\n                f.write(f\"\\nspace\\n{self.pyxtal.group.number:d}\\n\")\n                f.write(\"\\norigin\\n0 0 0\\n\")\n            else:\n                # All coordinates\n                for coord, site in zip(self.frac_coords, self.sites):\n                    f.write(\"{:4s} {:12.6f} {:12.6f} {:12.6f} core \\n\".format(site, *coord))\n            species = self.structure.species if self.species is not None else list(set(self.sites))\n\n            f.write(\"\\nSpecies\\n\")\n            if self.labels is not None:\n                for specie in species:\n                    if specie in self.labels:\n                        sp = self.labels[specie]\n                        f.write(f\"{specie:4s} core {sp:s}\\n\")\n                    else:\n                        f.write(f\"{specie:4s} core {specie:4s}\\n\")\n            else:\n                for specie in species:\n                    if self.ff == \"catlow\" and specie == \"O\":\n                        f.write(\"O    core O_O2- core\\n\")\n                        f.write(\"O    shell O_O2- shell\\n\")\n                    else:\n                        f.write(f\"{specie:4s} core {specie:4s}\\n\")\n\n            f.write(f\"\\nlibrary {self.ff:s}\\n\")\n            f.write(\"ewald 10.0\\n\")\n            # f.write('switch rfo gnorm 1.0\\n')\n            # f.write('switch rfo cycle 0.03\\n')\n            if self.opt != \"single\":\n                f.write(f\"maxcycle {self.steps:d}\\n\")\n            if self.pstress is not None:\n                f.write(f\"pressure {self.pstress:6.3f}\\n\")\n            if self.dump is not None:\n                f.write(f\"output cif {self.dump:s}\\n\")\n\n    def read(self):\n        # for symmetry case\n        lattice_para = None\n        lattice_vector = None\n        ltype = self.pyxtal.lattice.ltype if self.pyxtal is not None else \"triclinic\"\n\n        with open(self.output) as f:\n            lines = f.readlines()\n        try:\n            for i, line in enumerate(lines):\n                if self.symmetry and self.pyxtal.group.symbol[0] != \"P\":\n                    m = re.match(r\"\\s*Non-primitive unit cell\\s*=\\s*(\\S+)\\s*eV\", line)\n                elif self.pstress is None or self.pstress == 0:\n                    m = re.match(r\"\\s*Total lattice energy\\s*=\\s*(\\S+)\\s*eV\", line)\n                else:\n                    m = re.match(r\"\\s*Total lattice enthalpy\\s*=\\s*(\\S+)\\s*eV\", line)\n                # print(line.find('Final asymmetric unit coord'), line)\n                if m:\n                    self.energy = float(m.group(1))\n                    self.energy_per_atom = self.energy / len(self.frac_coords)\n\n                elif line.find(\"Job Finished\") != -1:\n                    self.optimized = True\n\n                elif line.find(\"Total CPU time\") != -1:\n                    self.cputime = float(line.split()[-1])\n\n                elif line.find(\"Final stress tensor components\") != -1:\n                    stress = np.zeros([6])\n                    for j in range(3):\n                        var = lines[i + j + 3].split()[1]\n                        stress[j] = float(var)\n                        var = lines[i + j + 3].split()[3]\n                        stress[j + 3] = float(var)\n                    self.stress = stress\n\n                # Forces, QZ copied from https://gitlab.com/ase/ase/-/blob/master/ase/calculators/gulp.py\n                elif line.find(\"Final internal derivatives\") != -1:\n                    s = i + 5\n                    forces = []\n                    while True:\n                        s = s + 1\n                        if lines[s].find(\"------------\") != -1:\n                            break\n                        g = lines[s].split()[3:6]\n\n                        for _t in range(3 - len(g)):\n                            g.append(\" \")\n                        for j in range(2):\n                            min_index = [i + 1 for i, e in enumerate(g[j][1:]) if e == \"-\"]\n                            if j == 0 and len(min_index) != 0:\n                                if len(min_index) == 1:\n                                    g[2] = g[1]\n                                    g[1] = g[0][min_index[0] :]\n                                    g[0] = g[0][: min_index[0]]\n                                else:\n                                    g[2] = g[0][min_index[1] :]\n                                    g[1] = g[0][min_index[0] : min_index[1]]\n                                    g[0] = g[0][: min_index[0]]\n                                    break\n                            if j == 1 and len(min_index) != 0:\n                                g[2] = g[1][min_index[0] :]\n                                g[1] = g[1][: min_index[0]]\n\n                        G = [-float(x) * eV / Ang for x in g]\n                        forces.append(G)\n                    forces = np.array(forces)\n                    self.forces = forces\n\n                elif line.find(\" Cycle: \") != -1:\n                    self.iter = int(line.split()[1])\n\n                # asymmetric unit\n                elif line.find(\"Final asymmetric unit coordinates\") != -1:\n                    s = i + 6\n                    positions = []\n                    for _i in range(len(self.pyxtal.atom_sites)):\n                        xyz = lines[s + _i].split()[3:6]\n                        XYZ = [float(x) for x in xyz]\n                        # print(XYZ)\n                        self.pyxtal.atom_sites[_i].update(XYZ)\n\n                elif line.find(\"Final fractional coordinates of atoms\") != -1:\n                    s = i + 5\n                    positions = []\n                    species = []\n                    while True:\n                        s = s + 1\n                        if lines[s].find(\"------------\") != -1:\n                            break\n                        xyz = lines[s].split()[3:6]\n                        XYZ = [float(x) for x in xyz]\n                        positions.append(XYZ)\n                        species.append(lines[s].split()[1])\n                    # if len(species) != len(self.sites):\n                    #    print(\"Warning\", len(species), len(self.sites))\n                    self.frac_coords = np.array(positions)\n                elif line.find(\"Final Cartesian lattice vectors\") != -1:\n                    lattice_vectors = np.zeros((3, 3))\n                    s = i + 2\n                    for j in range(s, s + 3):\n                        temp = lines[j].split()\n                        for k in range(3):\n                            lattice_vectors[j - s][k] = float(temp[k])\n                    lattice_vector = Lattice.from_matrix(lattice_vectors, ltype=ltype)\n\n                elif line.find(\"Non-primitive lattice parameters\") != -1:\n                    s = i + 2\n                    temp = lines[s].split()\n                    a, b, c = float(temp[2]), float(temp[5]), float(temp[8])\n                    temp = lines[s + 1].split()\n                    alpha, beta, gamma = float(temp[1]), float(temp[3]), float(temp[5])\n                    lattice_para = Lattice.from_para(a, b, c, alpha, beta, gamma, ltype)\n        except:\n            self.error = True\n            self.energy = None\n        if lattice_para is not None:\n            self.lattice = lattice_para\n        elif lattice_vector is not None:\n            self.lattice = lattice_vector\n        else:\n            self.error = True\n            self.energy = None\n\n        if self.pyxtal is not None:\n            self.pyxtal.lattice = self.lattice\n\n        if self.energy is None or np.isnan(self.energy):\n            self.error = True\n            self.energy = None\n            print(\"GULP calculation is wrong, reading------\")\n\n\nclass GULP_OC:\n    \"\"\"\n    A calculator to perform oragnic crystal structure optimization in GULP\n\n    Args:\n        struc: structure object generated by Pyxtal\n        ff: path of forcefield lib, e.g., `gaff`\n        bond_type: specify the bond type or not (GULP can detect it automatically)\n        opt: e.g., `conv`, `conp`, `single`\n        steps: number of steps, int, e.g., `1000`\n        exe: int, the way to call gulp executable\n        atom_info: atomic labels/charges\n        input: gulp input file name\n        output: gulp output file name\n        dump: dumped gulp file name\n    \"\"\"\n\n    def __init__(\n        self,\n        struc,\n        label=\"_\",\n        ff=\"gaff2\",\n        bond_type=False,\n        opt=\"conp\",\n        steps=1000,\n        stepmx=0.001,\n        exe=\"gulp\",\n        atom_info=None,\n        input=\"gulp.in\",\n        output=\"gulp.log\",\n        dump=None,\n        folder=\".\",\n    ):\n        self.folder = folder\n        self.structure = struc\n        self.label = label\n        self.ff = ff\n        self.bond_type = bond_type\n        self.opt = opt\n        self.exe = exe\n        if \"OCSP_GULPEXE\" in os.environ:\n            self.exe = os.environ[\"OCSP_GULPEXE\"]\n        self.steps = steps\n        self.stepmx = stepmx\n        self.opt = opt\n        self.input = self.label + input\n        self.output = self.label + output\n        self.dump = dump\n        self.iter = 0\n        self.stress = None\n        self.positions = None\n        self.forces = None\n        self.optimized = False\n        self.cell = None\n        self.group = self.structure.group\n        self.optlat = False\n        self.cputime = 0\n        self.atom_info = atom_info\n\n    def run(self, clean=True, pause=False):\n        if not os.path.exists(self.folder):\n            os.makedirs(self.folder)\n        cwd = os.getcwd()\n        os.chdir(self.folder)\n\n        self.write()\n        if not pause:\n            self.execute()\n            self.read()\n            if clean:\n                self.clean()\n\n        os.chdir(cwd)\n\n    def execute(self):\n        if self.exe == \"gulp.exe\":\n            key = self.input.split(\".\")[0]\n            shutil.copy(self.input, key + \".gin\")\n            cmd = self.exe + \" \" + key\n            os.system(cmd)\n            shutil.copy(key + \".gout\", self.output)\n        else:\n            cmd = self.exe + \"<\" + self.input + \">\" + self.output\n            os.system(cmd)\n\n    def clean(self):\n        os.remove(self.input)\n        os.remove(self.output)\n\n    def write(self):\n        lat = self.structure.lattice\n        a, b, c = lat.a, lat.b, lat.c\n        alpha, beta, gamma = (\n            np.degrees(lat.alpha),\n            np.degrees(lat.beta),\n            np.degrees(lat.gamma),\n        )\n        ltype = lat.ltype\n\n        with open(self.input, \"w\") as f:\n            # f.write('opti stress {:s} conj molecule nomod qok\\n'.format(self.opt))\n            if self.opt == \"conv\":\n                # f.write('opti {:s} steepest molecule nomod qok\\n'.format(self.opt))\n                f.write(f\"opti {self.opt:s} conj molecule nomod qok\\n\")\n            else:\n                f.write(f\"opti stress {self.opt:s} conj molecule nomod qok\\n\")\n            f.write(\"\\ncell\\n\")\n            f.write(f\"{a:12.6f}{b:12.6f}{c:12.6f}{alpha:12.6f}{beta:12.6f}{gamma:12.6f}\\n\")\n            f.write(\"\\nfractional\\n\")\n\n            symbols = []\n\n            for i, site in enumerate(self.structure.mol_sites):\n                coords, species = site._get_coords_and_species(first=True)\n                if self.atom_info is None:\n                    labels = site.molecule.props[\"gmx_label\"]\n                    charges = site.molecule.props[\"charge\"]\n                else:\n                    labels = self.atom_info[\"label\"][site.type]\n                    charges = self.atom_info[\"charge\"][site.type]\n                for j, coord in enumerate(coords):\n                    # print(len(site.molecule.mol.sites), len(labels), len(coords), coord)\n                    symbol = site.molecule.mol.sites[j].species_string\n                    if symbol not in [\"F\", \"Cl\", \"Br\"]:\n                        symbol += \"_\" + labels[j]\n                    symbols.append(symbol)\n                    try:\n                        f.write(\n                            f\"{at_types[symbol]:4s} {coord[0]:12.6f} {coord[1]:12.6f} {coord[2]:12.6f} core {charges[j]:12.6f}\\n\"\n                        )\n                    except KeyError:\n                        msg = f\"symbol {symbol:s} is not supported in GULP-gaff2.lib\"\n                        raise KeyError(msg)\n\n            f.write(\"\\nSpecies\\n\")\n            symbols = list(set(symbols))\n            for symbol in symbols:\n                f.write(f\"{at_types[symbol]:4s} core {symbol:4s}\\n\")\n\n            # symmetry operations\n            f.write(f\"\\nsymmetry_cell {ltype:s}\\n\")\n            site0 = self.structure.mol_sites[0]\n            for op in site0.wp.ops[1:]:\n                f.write(\"symmetry_operator\\n\")\n                rot = op.rotation_matrix.T\n                trans = op.translation_vector\n                for i in range(3):\n                    f.write(\"{:6.3f} {:6.3f} {:6.3f} {:6.3f}\\n\".format(*rot[i, :], trans[i]))\n\n            # bond type\n            if self.bond_type:\n                for bond in site0.mol.molTopol.bonds:\n                    for i in range(len(site.wp)):\n                        count = i * len(coords)\n                        f.write(f\"connect {bond.atoms[0].id + count:4d} {bond.atoms[1].id + count:4d}\\n\")\n            f.write(f\"\\nlibrary {self.ff:s}.lib\\n\")\n            # f.write('\\nlibrary {:s}\\n'.format(self.ff))\n            if \"OCSP_GULP_LIB\" in os.environ:\n                shutil.copy(os.environ[\"OCSP_GULP_LIB\"] + \"/\" + self.ff + \".lib\", \".\")\n            f.write(\"ewald 10.0\\n\")\n            # f.write('switch rfo gnorm 1.0\\n')\n            # f.write('switch lbfgs cycle 300\\n')\n            f.write(f\"maxcycle {self.steps:d}\\n\")\n            f.write(\"stepmx \" + str(self.stepmx) + \"\\n\")\n            f.write(\"ftol 0.0001\\n\")  # energy tol default: 1e-5\n            f.write(\"gtol 0.002\\n\")  # force tol default: 1e-4\n            f.write(\"gmax 0.01\\n\")  # force tol defult: 1e-3\n            if self.dump is not None:\n                f.write(f\"output cif {self.dump:s}\\n\")\n            # https://gulp.curtin.edu.au/gulp/help/new_help_40_txt.html#gmax\n\n    def read(self):\n        with open(self.output) as f:\n            lines = f.readlines()\n\n        for i, line in enumerate(lines):\n            if i == 7:\n                self.version = line\n\n            if line.find(\"Total lattice energy\") >= 0:\n                m = re.match(r\"\\s*Total lattice energy\\s*=\\s*(\\S+)\\s*eV\", line)\n                if m:\n                    self.structure.energy = float(m.group(1))\n            else:\n                if line.find(\"Job Finished\") != -1:\n                    self.optimized = True\n\n                elif line.find(\"Total CPU time\") != -1:\n                    self.cputime = float(line.split()[-1])\n\n                elif line.find(\"Final stress tensor components\") != -1:\n                    stress = np.zeros([6])\n                    for j in range(3):\n                        var = lines[i + j + 3].split()[1]\n                        stress[j] = float(var)\n                        var = lines[i + j + 3].split()[3]\n                        stress[j + 3] = float(var)\n                    self.stress = stress\n\n                elif line.find(\" Cycle: \") != -1:\n                    self.iter = int(line.split()[1])\n\n                elif (\n                    line.find(\"Final asymmetric unit coord\") != -1\n                    or line.find(\"Final fractional coordinates of atoms\") != -1\n                ):\n                    s = i + 5\n                    positions = []\n                    species = []\n                    while True:\n                        s = s + 1\n                        if lines[s].find(\"------------\") != -1:\n                            break\n                        # if lines[s].find(\" s \") != -1:\n                        #    continue\n                        xyz = lines[s].split()[3:6]\n                        XYZ = [float(x) for x in xyz]\n                        positions.append(XYZ)\n                        species.append(lines[s].split()[1])\n                    self.positions = np.array(positions)\n                    self.species = species\n\n                elif line.find(\"Final Cartesian lattice vectors\") != -1:\n                    lattice_vectors = np.zeros((3, 3))\n                    s = i + 2\n                    for j in range(s, s + 3):\n                        temp = lines[j].split()\n                        for k in range(3):\n                            lattice_vectors[j - s][k] = float(temp[k])\n                    self.cell = lattice_vectors\n        if self.cell is None:\n            self.cell = self.structure.lattice.matrix\n\n        self.lattice = Lattice.from_matrix(self.cell)  # update the lattice\n        self.lattice.ltype = self.structure.group.lattice_type\n        self.structure.lattice = self.lattice\n\n        if self.optimized:\n            count = 0\n\n            try:\n                for site in self.structure.mol_sites:\n                    coords = self.positions[count : count + len(site.molecule.mol)]\n                    site.update(coords, self.lattice)\n                    count += len(site.molecule.mol)\n                self.structure.optimize_lattice()\n            except:\n                # print()\n                print(\"Structure is wrong after optimization\")\n\n\ndef single_optimize(\n    struc,\n    ff,\n    steps=1000,\n    pstress=None,\n    opt=\"conp\",\n    path=\"tmp\",\n    label=\"_\",\n    clean=True,\n    symmetry=False,\n    labels=None,\n):\n    calc = GULP(\n        struc,\n        steps=steps,\n        label=label,\n        path=path,\n        pstress=pstress,\n        ff=ff,\n        opt=opt,\n        symmetry=symmetry,\n        labels=labels,\n    )\n\n    calc.run(clean=clean)\n\n    if calc.error:\n        print(\"GULP error in single optimize\")\n        return None, None, 0, True\n    else:\n        struc = calc.to_pyxtal() if calc.pyxtal is None else calc.pyxtal\n        # if sum(struc.numIons) == 42: print(\"SSSSS\"); import sys; sys.exit()\n        return struc, calc.energy_per_atom, calc.cputime, calc.error\n\n\ndef optimize(\n    struc,\n    ff,\n    optimizations=None,\n    exe=\"gulp\",\n    pstress=None,\n    path=\"tmp\",\n    label=\"_\",\n    clean=True,\n    adjust=False,\n):\n    \"\"\"\n    Multiple calls\n\n    \"\"\"\n    if optimizations is None:\n        optimizations = [\"conp\", \"conp\"]\n    time_total = 0\n    for opt in optimizations:\n        struc, energy, time, error = single_optimize(\n            struc,\n            ff,\n            pstress=pstress,\n            opt=opt,\n            exe=exe,\n            path=path,\n            label=label,\n            clean=clean,\n        )\n\n        time_total += time\n        if error:\n            return None, None, 0, True\n        elif adjust and abs(energy) < 1e-8:\n            matrix = struc.lattice.matrix\n            struc.lattice.set_matrix(matrix * 0.8)\n\n    return struc, energy, time_total, False\n\n\nif __name__ == \"__main__\":\n    while True:\n        struc = pyxtal()\n        struc.from_random(3, 19, [\"C\"], [4])\n        if struc.valid:\n            break\n    print(struc)\n    pmg1 = struc.to_pymatgen()\n    calc = GULP(struc, opt=\"single\", ff=\"tersoff.lib\")\n    calc.run(clean=False)  # ; import sys; sys.exit()\n    print(calc.energy)\n    print(calc.stress)\n    print(calc.forces)\n    pmg2 = calc.to_pymatgen()\n    # xtal = calc.pyxtal #calc.to_pyxtal()\n    # print(calc.iter)\n    # print(xtal)\n\n    import pymatgen.analysis.structure_matcher as sm\n\n    print(sm.StructureMatcher().fit(pmg1, pmg2))\n\n    struc, eng, time, _ = optimize(struc, ff=\"tersoff.lib\")\n    print(struc)\n    print(eng)\n    print(time)\n"
  },
  {
    "path": "pyxtal/interface/lammpslib.py",
    "content": "\"\"\"ASE LAMMPS Calculator Library Version\"\"\"\n\nimport importlib.resources\nimport os\n\nimport ase.units\nimport numpy as np\nfrom ase.calculators.calculator import Calculator\nfrom ase.constraints import UnitCellFilter, FixSymmetry\nfrom ase.optimize import LBFGS\nfrom ase.optimize.fire import FIRE\nfrom lammps import lammps\n\n\n#\ndef opt_lammpslib(\n    struc,\n    lmp,\n    parameters=None,\n    mask=None,\n    logfile=\"-\",\n    path=\"tmp\",\n    calc_type=None,\n    lmp_file=None,\n    molecule=False,\n    method=\"FIRE\",\n    fmax=0.01,\n    opt_cell=False,\n    a=0.1,\n    steps=500,\n):\n    \"\"\"\n    mask: [1, 1, 1, 1, 1, 1], a, b, c, alpha, beta, gamma\n          [1, 1, 0, 0, 0, 1]\n    \"\"\"\n\n    if lmp_file is not None:\n        lammps = LAMMPSlib(\n            lmp=lmp,\n            lmp_file=lmp_file,\n            log_file=\"lammps.log\",\n            molecule=molecule,\n            path=path,\n        )\n    elif calc_type is not None:\n        lammps = LAMMPSlib(\n            lmp=lmp,\n            lmpcmds=parameters,\n            calc_type=calc_type,\n            log_file=\"lammps.log\",\n            molecule=molecule,\n            path=path,\n        )\n    else:\n        lammps = LAMMPSlib(\n            lmp=lmp,\n            lmpcmds=parameters,\n            log_file=\"lammps.log\",\n            molecule=molecule,\n            path=path,\n        )\n\n    # check_symmetry(si, 1.0e-6, verbose=True)\n    struc.set_calculator(lammps)\n    struc.set_constraint(FixSymmetry(struc))\n    if opt_cell:\n        ecf = UnitCellFilter(struc, mask)\n        dyn = FIRE(ecf, logfile=logfile, a=a) if method == \"FIRE\" else LBFGS(ecf, logfile=logfile)\n    else:\n        dyn = FIRE(struc, logfile=logfile) if method == \"FIRE\" else LBFGS(struc, logfile=logfile)\n    dyn.run(fmax=fmax, steps=steps)\n    return struc\n\n\ndef run_lammpslib(\n    struc,\n    lmp,\n    parameters=None,\n    path=\"tmp\",\n    calc_type=None,\n    lmp_file=None,\n    molecule=False,\n    method=\"opt\",\n    temp=300,\n    steps=10000,\n    comp_z=None,\n    min_style=\"cg\",\n):\n    if lmp_file is not None:\n        lammps = LAMMPSlib(\n            lmp=lmp,\n            lmp_file=lmp_file,\n            log_file=\"lammps.log\",\n            molecule=molecule,\n            path=path,\n        )\n\n    elif calc_type is not None:\n        lammps = LAMMPSlib(\n            lmp=lmp,\n            lmpcmds=parameters,\n            calc_type=calc_type,\n            log_file=\"lammps.log\",\n            molecule=molecule,\n            path=path,\n        )\n    else:\n        parameter0 = [*parameters, \"neighbor 1.0 bin\", \"neigh_modify  every 1  delay 1  check yes\"]\n\n        if method == \"md\":\n            parameter0 += [\n                \"fix 1 all nvt temp \" + str(temp) + \" \" + str(temp) + \" 0.05\",\n                \"timestep  0.001\",\n                \"thermo 1000\",\n                \"run \" + str(steps),\n                \"reset_timestep 0\",\n                f\"min_style {min_style}\",\n                f\"minimize 1e-15 1e-15 {steps} {steps}\",\n                \"thermo 0\",\n            ]\n        elif method == \"opt\":\n            if comp_z is not None:\n                parameter0 += [f\"change_box all z scale {comp_z}\"]\n            parameter0 += [\n                \"timestep  0.001\",\n                f\"min_style {min_style}\",\n                f\"minimize 1e-15 1e-15 {steps} {steps}\",\n            ]\n\n        else:\n            parameter0 += [\"run 0\"]\n\n        lammps = LAMMPSlib(\n            lmp=lmp,\n            lmpcmds=parameter0,\n            molecule=molecule,\n            lmp_file=lmp_file,\n            log_file=\"lammps.log\",\n            path=path,\n        )\n\n    struc.set_calculator(lammps)\n\n    Eng = struc.get_potential_energy()\n\n    return struc, Eng\n\n\ndef is_upper_triangular(arr, atol=1e-8):\n    \"\"\"test for upper triangular matrix based on numpy\"\"\"\n    # must be (n x n) matrix\n    assert len(arr.shape) == 2\n    assert arr.shape[0] == arr.shape[1]\n    return np.allclose(np.tril(arr, k=-1), 0.0, atol=atol) and np.all(np.diag(arr) >= 0.0)\n\n\ndef convert_cell(ase_cell):\n    \"\"\"\n    Convert a parallelepiped (forming right hand basis)\n    to lower triangular matrix LAMMPS can accept. This\n    function transposes cell matrix so the bases are column vectors\n    \"\"\"\n    cell = ase_cell.T\n    if not is_upper_triangular(cell):\n        tri_mat = np.zeros((3, 3))\n        A = cell[:, 0]\n        B = cell[:, 1]\n        C = cell[:, 2]\n        tri_mat[0, 0] = np.linalg.norm(A)\n        Ahat = A / np.linalg.norm(A)\n        AxBhat = np.cross(A, B) / np.linalg.norm(np.cross(A, B))\n        tri_mat[0, 1] = np.dot(B, Ahat)\n        tri_mat[1, 1] = np.linalg.norm(np.cross(Ahat, B))\n        tri_mat[0, 2] = np.dot(C, Ahat)\n        tri_mat[1, 2] = np.dot(C, np.cross(AxBhat, Ahat))\n        tri_mat[2, 2] = np.linalg.norm(np.dot(C, AxBhat))\n        # create and save the transformation for coordinates\n        volume = np.linalg.det(ase_cell)\n        trans = np.array([np.cross(B, C), np.cross(C, A), np.cross(A, B)])\n        trans /= volume\n        coord_transform = np.dot(tri_mat, trans)\n        return tri_mat, coord_transform\n    else:\n        return cell, None\n\n\nclass LAMMPSlib(Calculator):\n    def __init__(\n        self,\n        lmp,\n        lmpcmds=None,\n        path=\"tmp\",\n        molecule=False,\n        lmp_file=None,\n        calc_type=\"single\",\n        *args,\n        **kwargs,\n    ):\n        Calculator.__init__(self, *args, **kwargs)\n        self.lmp = lmp\n        self.lmp_file = lmp_file\n        self.molecule = molecule\n        self.calc_type = calc_type\n        self.folder = path\n        if not os.path.exists(self.folder):\n            os.makedirs(self.folder)\n        self.lammps_data = self.folder + \"/data.lammps\"\n        self.lammps_in = self.folder + \"/in.lammps\"\n        with importlib.resources.as_file(importlib.resources.files(\"pyxtal\") / \"potentials\") as path:\n            self.ffpath = str(path)\n        self.lmpcmds = lmpcmds\n        self.paras = []\n        if lmpcmds is not None:\n            for para in lmpcmds:\n                if not self.molecule and para.find(\"pair_coeff\") >= 0:\n                    tmp = para.split()\n                    filename = tmp[3]\n                    filename1 = self.ffpath + \"/\" + filename\n                    para = para.replace(filename, filename1)\n                self.paras.append(para)\n\n    def calculate(self, atoms):\n        \"\"\"\n        prepare lammps .in file and data file\n        write_lammps_data(filename, self.atoms, )\n        \"\"\"\n        boundary = \"\"\n        for i in range(3):\n            if atoms.pbc[i]:\n                boundary += \"p \"\n            else:\n                boundary += \"f \"\n        if boundary in [\"f f p \", \"p p f \"]:  # needs some work later\n            boundary = \"p p p \"\n        self.boundary = boundary\n        if self.molecule:\n            self.write_lammps_data_water(atoms)\n        else:\n            self.write_lammps_data(atoms)\n        self.write_lammps_in()\n        self.lmp.file(self.lammps_in)\n        # Extract the forces and energy\n        self.lmp.command(\"variable pxx equal pxx\")\n        self.lmp.command(\"variable pyy equal pyy\")\n        self.lmp.command(\"variable pzz equal pzz\")\n        self.lmp.command(\"variable pxy equal pxy\")\n        self.lmp.command(\"variable pxz equal pxz\")\n        self.lmp.command(\"variable pyz equal pyz\")\n        self.lmp.command(\"variable fx atom fx\")\n        self.lmp.command(\"variable fy atom fy\")\n        self.lmp.command(\"variable fz atom fz\")\n        self.lmp.command(\"variable pe equal pe\")\n        if self.calc_type.find(\"GB\") >= 0:\n            self.lmp.command(\"variable Etot equal c_eatoms\")\n            self.gb_energy = self.lmp.extract_variable(\"Etot\", None, 0)\n            # print('gb_energy from lammps: ', self.gb_energy)\n            # print('update lammps GB energy')\n\n        pos = np.array(list(self.lmp.gather_atoms(\"x\", 1, 3))).reshape(-1, 3)\n\n        self.energy = self.lmp.extract_variable(\"pe\", None, 0)\n        # print('update lammps energy')\n\n        xlo = self.lmp.extract_global(\"boxxlo\", 1)\n        xhi = self.lmp.extract_global(\"boxxhi\", 1)\n        ylo = self.lmp.extract_global(\"boxylo\", 1)\n        yhi = self.lmp.extract_global(\"boxyhi\", 1)\n        zlo = self.lmp.extract_global(\"boxzlo\", 1)\n        zhi = self.lmp.extract_global(\"boxzhi\", 1)\n        xy = self.lmp.extract_global(\"xy\", 1)\n        yz = self.lmp.extract_global(\"yz\", 1)\n        xz = self.lmp.extract_global(\"xz\", 1)\n        unitcell = np.array([[xhi - xlo, xy, xz], [0, yhi - ylo, yz], [0, 0, zhi - zlo]]).T\n\n        stress = np.empty(6)\n        stress_vars = [\"pxx\", \"pyy\", \"pzz\", \"pyz\", \"pxz\", \"pxy\"]\n\n        for i, var in enumerate(stress_vars):\n            stress[i] = self.lmp.extract_variable(var, None, 0)\n        # print('update lammps stress')\n\n        stress_mat = np.zeros((3, 3))\n        stress_mat[0, 0] = stress[0]\n        stress_mat[1, 1] = stress[1]\n        stress_mat[2, 2] = stress[2]\n        stress_mat[1, 2] = stress[3]\n        stress_mat[2, 1] = stress[3]\n        stress_mat[0, 2] = stress[4]\n        stress_mat[2, 0] = stress[4]\n        stress_mat[0, 1] = stress[5]\n        stress_mat[1, 0] = stress[5]\n        stress[0] = stress_mat[0, 0]\n        stress[1] = stress_mat[1, 1]\n        stress[2] = stress_mat[2, 2]\n        stress[3] = stress_mat[1, 2]\n        stress[4] = stress_mat[0, 2]\n        stress[5] = stress_mat[0, 1]\n\n        self.stress = -stress * 1e5 * ase.units.Pascal\n        f = np.array(self.lmp.gather_atoms(\"f\", 1, 3)).reshape(-1, 3) * (ase.units.eV / ase.units.Angstrom)\n        # print('update lammps force')\n        self.forces = f.copy()\n        atoms.positions = pos.copy()\n        atoms.cell = unitcell.copy()\n        if self.molecule:\n            atoms.positions *= 0.529\n            atoms.cell *= 0.529\n        self.atoms = atoms.copy()\n        # self.atoms.info['GB_energy'] = self.gb_energy\n        # print('update lammps all')\n\n    def write_lammps_in(self):\n        if self.lmp_file is not None:\n            # print('cp ' + self.lmp_file + ' ' + self.folder + '/in.lammps')\n            os.system(\"cp \" + self.lmp_file + \" \" + self.folder + \"/in.lammps\")\n        else:\n            with open(self.lammps_in, \"w\") as fh:\n                fh.write(\"clear\\n\")\n                fh.write(\"box  tilt large\\n\")\n                if self.molecule:\n                    fh.write(\"units electron\\n\")\n                else:\n                    fh.write(\"units metal\\n\")\n                if self.calc_type.find(\"GB\") >= 0:\n                    fh.write(\"boundary p p s\\n\")\n                else:\n                    fh.write(f\"boundary {self.boundary:s}\\n\")\n                fh.write(\"atom_modify sort 0 0.0\\n\")\n                if not self.molecule:\n                    fh.write(f\"read_data {self.lammps_data:s}\\n\")\n                fh.write(\"\\n### interactions\\n\")\n                for para in self.paras:\n                    fh.write(f\"{para:s}\\n\")\n                fh.write(\"neighbor 1.0 bin\\n\")\n                fh.write(\"neigh_modify  every 1  delay 1  check yes\\n\")\n                if self.calc_type.find(\"GB\") >= 0:\n                    tmp = LAMMPS_collections().dict[\"GB_group\"]\n                    for i in tmp:\n                        fh.write(i)\n                if self.calc_type.find(\"GB_opt\") >= 0:\n                    tmp = LAMMPS_collections().dict[\"GB_opt\"]\n                    for i in tmp:\n                        fh.write(i)\n\n                elif self.calc_type.find(\"GB_md\") >= 0:\n                    tmp = LAMMPS_collections().dict[\"GB_opt\"]\n                    tmp += LAMMPS_collections(temp=1000).dict[\"GB_md\"]\n                    tmp += LAMMPS_collections().dict[\"GB_opt\"]\n                    for i in tmp:\n                        fh.write(i)\n\n                if self.calc_type.find(\"GB\") >= 0:\n                    fh.write(\"thermo_style custom pe pxx pyy pzz pyz pxz pxy c_eatoms\\n\")\n                else:\n                    fh.write(\"thermo_style custom pe pxx pyy pzz pyz pxz pxy\\n\")\n                fh.write(\"thermo_modify flush yes\\n\")\n                fh.write(\"thermo 1\\n\")\n                fh.write(\"run 1\\n\")\n\n                # fh.write('print \"__end_of_ase_invoked_calculation__\"\\n')\n\n    def write_lammps_data(self, atoms):\n        atom_types = np.array(atoms.get_tags())  # [1]*len(atoms)\n        if sum(atom_types) == 0:\n            atom_types = np.array([1] * len(atoms))\n        with open(self.lammps_data, \"w\") as fh:\n            comment = \"lammpslib autogenerated data file\"\n            fh.write(comment.strip() + \"\\n\\n\")\n            fh.write(f\"{len(atoms):d} atoms\\n\")\n            fh.write(f\"{len(np.unique(atom_types)):d} atom types\\n\")\n            cell, coord_transform = convert_cell(atoms.get_cell())\n            # cell = atoms.get_cell()\n            fh.write(\"\\n\")\n            fh.write(f\"{0.0:16.8e} {cell[0, 0]:16.8e} xlo xhi\\n\")\n            fh.write(f\"{0.0:16.8e} {cell[1, 1]:16.8e} ylo yhi\\n\")\n            fh.write(f\"{0.0:16.8e} {cell[2, 2]:16.8e} zlo zhi\\n\")\n            fh.write(f\"{cell[0, 1]:16.8e} {cell[0, 2]:16.8e} {cell[1, 2]:16.8e} xy xz yz\\n\")\n\n            fh.write(\"\\n\\nAtoms \\n\\n\")\n            for i, (typ, pos) in enumerate(zip(atom_types, atoms.get_positions())):\n                if coord_transform is not None:\n                    pos = np.dot(coord_transform, pos.transpose())\n                fh.write(f\"{i + 1:4d} {typ:4d} {pos[0]:16.8e} {pos[1]:16.8e} {pos[2]:16.8e}\\n\")\n\n    def write_lammps_data_water(self, atoms):\n        \"\"\"\n        Lammps input only for water model\n        \"\"\"\n        [1] * len(atoms)\n        N_atom = len(atoms)\n        N_mol = int(len(atoms) / 3)\n        N_bond = N_mol * 2\n        N_angle = N_mol\n        np.unique(atoms.numbers)\n        lmp_types = np.zeros(N_atom, dtype=int)\n        lmp_types[atoms.numbers == 1] = 2\n        lmp_types[atoms.numbers == 8] = 1\n\n        mol_types = np.zeros(N_atom, dtype=int)\n        for i in range(N_mol):\n            mol_types[i * 3 : (i + 1) * 3] = i + 1\n\n        with open(self.lammps_data, \"w\") as fh:\n            comment = \"lammpslib autogenerated data file\"\n            fh.write(comment.strip() + \"\\n\\n\")\n            fh.write(f\"{N_atom} atoms\\n\")\n            fh.write(f\"{N_bond} bonds\\n\")\n            fh.write(f\"{N_angle} angles\\n\")\n\n            fh.write(\"\\n2 atom types\\n\")\n            fh.write(\"1 bond types\\n\")\n            fh.write(\"1 angle types\\n\")\n\n            # cell = atoms.get_cell()/0.529\n            cell, coord_transform = convert_cell(atoms.get_cell())\n            cell /= 0.529\n            fh.write(\"\\n\")\n            fh.write(f\"{0.0:16.8e} {cell[0, 0]:16.8e} xlo xhi\\n\")\n            fh.write(f\"{0.0:16.8e} {cell[1, 1]:16.8e} ylo yhi\\n\")\n            fh.write(f\"{0.0:16.8e} {cell[2, 2]:16.8e} zlo zhi\\n\")\n            fh.write(f\"{cell[0, 1]:16.8e} {cell[0, 2]:16.8e} {cell[1, 2]:16.8e} xy xz yz\\n\")\n\n            fh.write(\"\\n\\nMasses \\n\\n\")\n            fh.write(\"  1 15.9994\\n\")\n            fh.write(\"  2  1.0000\\n\")\n\n            fh.write(\"\\n\\nBond Coeffs \\n\\n\")\n            fh.write(\" 1    1.78    0.2708585 -0.327738785 0.231328959\\n\")\n\n            fh.write(\"\\n\\nAngle Coeffs \\n\\n\")\n            fh.write(\"  1    0.0700  107.400000\")\n            fh.write(\"\\n\\nAtoms \\n\\n\")\n            for i, (typ, mtyp, pos) in enumerate(zip(lmp_types, mol_types, atoms.get_positions() / 0.529)):\n                if coord_transform is not None:\n                    pos = np.dot(coord_transform, pos.transpose())\n                # print(i, mtyp, typ)\n                if typ == 2:\n                    fh.write(f\"{i + 1:4d} {mtyp:4d} {typ:4d}   0.5564 {pos[0]:16.8f} {pos[1]:16.8f} {pos[2]:16.8f}\\n\")\n                else:\n                    fh.write(f\"{i + 1:4d} {mtyp:4d} {typ:4d}  -1.1128 {pos[0]:16.8f} {pos[1]:16.8f} {pos[2]:16.8f}\\n\")\n\n            fh.write(\"\\nBonds \\n\\n\")\n            for i in range(N_mol):\n                fh.write(f\"{i * 2 + 1:4d} {1:4d} {i * 3 + 1:4d} {i * 3 + 2:4d}\\n\")\n                fh.write(f\"{i * 2 + 2:4d} {1:4d} {i * 3 + 1:4d} {i * 3 + 3:4d}\\n\")\n\n            fh.write(\"\\nAngles \\n\\n\")\n            for i in range(N_angle):\n                fh.write(f\"{i + 1:4d} {1:4d} {i * 3 + 2:4d} {i * 3 + 1:4d} {i * 3 + 3:4d}\\n\")\n\n    def update(self, atoms):\n        if not hasattr(self, \"atoms\") or self.atoms != atoms:\n            self.calculate(atoms)\n\n    def get_potential_energy(self, atoms, force_consistent=False):\n        self.update(atoms)\n        if self.calc_type.find(\"GB\") >= 0:\n            return self.gb_energy\n        else:\n            return self.energy\n\n    def get_forces(self, atoms):\n        self.update(atoms)\n        return self.forces.copy()\n\n    def get_stress(self, atoms):\n        self.update(atoms)\n        return self.stress.copy()\n\n\nclass LAMMPS_collections:\n    \"\"\"\n    A class to provide the lammps input file\n    \"\"\"\n\n    def __init__(self, temp=500):\n        self.dict = {}\n\n        self.dict[\"GB_group\"] = [\n            \"# ---------GB--------\\n\",\n            \"group lowlayer type 1\\n\",\n            \"group gbregion type 2\\n\",\n            \"group uplayer type 3\\n\",\n            \"#----Define compute quantities-----\\n\",\n            \"compute eng all pe/atom \\n\",\n            \"compute eatoms gbregion reduce sum c_eng\\n\",\n        ]\n\n        self.dict[\"GB_opt\"] = [\n            \"# ---------- Run GB Minimization -----\\n\",\n            \"fix f1 lowlayer setforce 0.0 0.0 0.0\\n\",\n            \"fix f2 uplayer aveforce 0.0 0.0 0.0\\n\",\n            \"min_style cg\\n\",\n            \"#dump   dump_all all custom 100000 dump.xyz element x y z\\n\",\n            \"minimize 1e-15 1e-15 10000 10000\\n\",\n            \"run 0\\n\",\n            \"thermo 0\\n\",\n            \"thermo_style custom pe pxx c_eatoms\\n\",\n            \"thermo_modify flush yes\\n\",\n            \"unfix f1\\n\",\n            \"unfix f2\\n\",\n        ]\n\n        self.dict[\"GB_md\"] = [\n            \"# ---------- Run GB MD ---------\\n\",\n            \"thermo 100\\n\",\n            f\"velocity gbregion create {temp:d} {temp:d}\\n\",\n            f\"fix 1 gbregion nvt temp {temp:d} {temp:d} 0.05\\n\",\n            \"timestep 0.001\\n\",\n            \"run 5000\\n\",\n            \"unfix 1\\n\",\n        ]\n\n\nif __name__ == \"__main__\":\n    from ase.build import bulk\n\n    lammps_name = \"\"\n    comm = None\n    log_file = \"lammps.log\"\n    cmd_args = [\"-echo\", \"log\", \"-log\", log_file, \"-screen\", \"none\", \"-nocite\"]\n    lmp = lammps(lammps_name, cmd_args, comm)\n\n    struc = bulk(\"Si\", \"diamond\", cubic=True)\n    struc.set_tags([1] * len(struc))\n    parameters = [\n        \"mass * 1.0\",\n        \"pair_style tersoff\",\n        \"pair_coeff * * Si.tersoff Si\",\n        \"neighbor 1.0 bin\",\n        \"neigh_modify  every 1  delay 1  check yes\",\n    ]\n    lammps = LAMMPSlib(lmp=lmp, lmpcmds=parameters)\n    struc.set_calculator(lammps)\n    print(\"positions: \")\n    print(struc.get_positions())\n    print(\"energy: \")\n    print(struc.get_potential_energy())\n    print(\"force: \")\n    print(struc.get_forces())\n    print(\"stress: \")\n    print(struc.get_stress())\n\n    # dict = LAMMPS_collections().dict\n    # for key in dict.keys():\n    #    for string in dict[key]:\n    #        print(string)\n"
  },
  {
    "path": "pyxtal/interface/latte_calculator.py",
    "content": "from ase.io import read, write\nfrom ase.optimize import FIRE\nfrom ase.constraints import UnitCellFilter\nfrom ase.calculators.calculator import Calculator, all_changes\n\nfrom collections import Counter\nfrom pathlib import Path\nimport numpy as np\nimport os\nimport subprocess\nimport re\n\n# ===================== 1. LATTE Calculator =====================\n\nclass LATTECalculator(Calculator):\n    \"\"\"\n    Minimal ASE calculator that:\n       1) writes bl/inputblock.dat\n       2) runs LATTE\n       3) reads energy, stress, forces from\n              latte.log\n              lastsystem.cfg  (final frame only)\n\n    Requirements in workdir:\n       ./LATTE_DOUBLE\n       TBparam/control.in\n       MDcontroller\n       bl/ (auto-created)\n    \"\"\"\n\n    implemented_properties = [\"energy\", \"forces\", \"stress\"]\n    \n    def __init__(self, exe=\"./LATTE_DOUBLE\", workdir=\".\", timeout=3600, **kwargs):\n        super().__init__(**kwargs)\n        self.workdir = os.path.abspath(workdir)\n        self.exe = os.path.abspath(os.path.join(self.workdir, exe))\n        self.timeout = timeout\n        self.logfile = os.path.join(self.workdir, \"latte.log\")\n        self.cfgfile = os.path.join(self.workdir, \"lastsystem.cfg\")\n        \n    def calculation_required(self, atoms, properties):\n        return True\n        \n    def calculate(self, atoms=None, properties=(\"energy\",), system_changes=all_changes):\n        if atoms is None:\n            atoms = self.atoms\n        else:\n            self.atoms = atoms.copy()\n\n        # clear previous results\n        self.results = {}\n\n        # write input for *current* geometry\n        self._write_inputblock(self.atoms)\n        self._set_single_point_mode()   # RELAX=0 in control.in\n\n        # run LATTE and parse outputs\n        self._run_latte()\n\n        E = self._read_energy_from_log()\n        F = self._read_forces_from_cfg()\n        S = self._read_stress_from_log()\n\n        self.results[\"energy\"] = E\n        self.results[\"forces\"] = F\n        if S is not None:\n            self.results[\"stress\"] = S\n\n    # Write inputblock.dat\n    def _write_inputblock(self, atoms):\n        bl = os.path.join(self.workdir, \"bl\")\n        os.makedirs(bl, exist_ok=True)\n        fpath = os.path.join(bl, \"inputblock.dat\")\n\n        cell = atoms.cell.array\n        pos = atoms.get_positions()\n        syms = atoms.get_chemical_symbols()\n\n        with open(fpath, \"w\") as f:\n            f.write(f\"{len(atoms)}\\n\")\n            for v in cell:\n                f.write(f\"{v[0]:.10f} {v[1]:.10f} {v[2]:.10f}\\n\")\n            for s, r in zip(syms, pos):\n                f.write(f\"{s} {r[0]:.10f} {r[1]:.10f} {r[2]:.10f}\\n\")\n\n    # Force single-point mode in control.in\n    def _set_single_point_mode(self):\n        cpath = os.path.join(self.workdir, \"TBparam\", \"control.in\")\n        if not os.path.exists(cpath):\n            print(\"WARNING: No control.in found.\")\n            return\n\n        lines = open(cpath).read().splitlines()\n        new = []\n        updated_relax = False\n\n        for line in lines:\n            if line.strip().startswith(\"RELAX\"):\n                updated_relax = True\n                new.append(\"RELAX= 0 RELAXTYPE= SD MAXITER= 10 RLXFTOL= 0.1\\n\")\n            else:\n                new.append(line + \"\\n\")\n\n        if not updated_relax:\n            new.append(\"\\nRELAX= 0 RELAXTYPE= SD MAXITER= 10 RLXFTOL= 0.1\\n\")\n\n        open(cpath, \"w\").write(\"\".join(new))\n\n    # Run LATTE\n    def _run_latte(self):\n        with open(self.logfile, \"w\") as f:\n            subprocess.run(\n                [self.exe],\n                cwd=self.workdir,\n                stdout=f, stderr=subprocess.STDOUT,\n                timeout=self.timeout, check=True\n            )\n\n    # Read total energy from latte.log\n    def _read_energy_from_log(self):\n        lines = open(self.logfile).read().splitlines()\n        E = None\n        pattern = re.compile(r\"FREE ENERGY\\s*=\\s*([-0-9.Ee]+)\")\n        for l in lines:\n            m = pattern.search(l)\n            if m:\n                E = float(m.group(1))\n        if E is None:\n            raise RuntimeError(\"Energy not found in log!\")\n        return E\n\n    # Read stress tensor from latte.log (GPa → eV/A³)\n    def _read_stress_from_log(self):\n        lines = open(self.logfile).read().splitlines()\n        S = None\n        for i, l in enumerate(lines):\n            if \"Stress tensor (GPa)\" in l:\n                m = []\n                for j in range(1, 4):\n                    parts = lines[i+j].replace(\"#\",\"\").split()\n                    m.append([float(x) for x in parts[:3]])\n                S = np.array(m)\n                break\n\n        if S is None:\n            return None\n\n        # convert GPa → eV/Å³ and flip sign (LATTE → ASE convention)\n        conv = 0.00625\n        return -(S*conv)\n\n    # Read the LAST FRAME from lastsystem.cfg\n    def _read_forces_from_cfg(self):\n        if not os.path.exists(self.cfgfile):\n            raise RuntimeError(\"lastsystem.cfg not found\")\n\n        lines = open(self.cfgfile).read().splitlines()\n\n        # number of atoms\n        natoms = None\n        for l in lines:\n            if \"Number of particles\" in l:\n                natoms = int(l.split(\"=\")[1])\n                break\n\n        if natoms is None:\n            raise RuntimeError(\"Could not find 'Number of particles' in lastsystem.cfg\")\n\n        # H0 matrix\n        H = np.zeros((3, 3))\n        for l in lines:\n            if \"H0(\" in l:\n                tmp = l.replace(\"=\", \" \").replace(\"A\", \"\").split()\n                ij = tmp[0][3:-1]\n                i, j = ij.split(\",\")\n                H[int(i) - 1, int(j) - 1] = float(tmp[1])\n\n        # collect all numeric atom-lines (≥7 floats)\n        all_atoms = []\n        for l in lines:\n            p = l.split()\n            if len(p) < 7:\n                continue\n            try:\n                nums = [float(x) for x in p[:7]]\n                all_atoms.append(nums)\n            except ValueError:\n                continue\n\n        if len(all_atoms) < natoms:\n            raise RuntimeError(\"Not enough atom lines found in lastsystem.cfg\")\n\n        # last natoms rows = final forces\n        block = all_atoms[-natoms:]\n\n        frac = np.array([b[:3] for b in block])\n        forces = np.array([b[3:6] for b in block])\n\n        coords_cart = frac @ H  # not used but kept for completeness\n\n        return forces\n\n# ===================== 2. Reorder CIF & fix formula =====================\n\ndef reorder_cif_and_fix_formula(infile, outfile, desired_order=(\"O\", \"H\", \"C\")):\n    \"\"\"\n    Read CIF, reorder atoms by desired_order, write new CIF,\n    and fix _chemical_formula_sum line. Returns reordered Atoms.\n    \"\"\"\n    atoms = read(infile)\n\n    # Reorder atoms\n    symbols = np.array(atoms.get_chemical_symbols())\n    indices = []\n    for el in desired_order:\n        idx = np.where(symbols == el)[0]\n        indices.extend(idx.tolist())\n    atoms_reordered = atoms[indices]\n\n    # Write reordered CIF\n    write(outfile, atoms_reordered, format=\"cif\")\n\n    # Count elements\n    counts = Counter(atoms_reordered.get_chemical_symbols())\n    parts = []\n    for el in desired_order:\n        if el in counts:\n            n = counts[el]\n            parts.append(f\"{el}{n}\" if n != 1 else el)\n    custom_formula = \" \".join(parts)\n\n    # Patch _chemical_formula_sum\n    text = Path(outfile).read_text()\n    lines = text.splitlines()\n\n    new_lines = []\n    formula_found = False\n    for line in lines:\n        if line.lower().startswith(\"_chemical_formula_sum\"):\n            new_lines.append(f\"_chemical_formula_sum    '{custom_formula}'\")\n            formula_found = True\n        else:\n            new_lines.append(line)\n\n    if not formula_found:\n        inserted = []\n        inserted_flag = False\n        for line in new_lines:\n            inserted.append(line)\n            if (not inserted_flag) and line.lower().startswith(\"data_\"):\n                inserted.append(f\"_chemical_formula_sum    '{custom_formula}'\")\n                inserted_flag = True\n        new_lines = inserted\n\n    Path(outfile).write_text(\"\\n\".join(new_lines))\n\n    print(\"Wrote reordered CIF to:\", outfile)\n    print(\"Formula set to:\", custom_formula)\n    return atoms_reordered\n\n# ===================== 3. Stress logger =====================\n\ndef log_stress(atoms, filename=\"stress_log.txt\"):\n    \"\"\"\n    Append latest stress tensor from atoms.calc.results[\"stress\"]\n    to filename without forcing a new LATTE evaluation.\n    \"\"\"\n    calc = atoms.calc\n    S = calc.results.get(\"stress\", None)\n    if S is None:\n        # fall back to ASE call if needed (this will trigger a calc)\n        S = atoms.get_stress(voigt=False)\n\n    S = np.array(S)\n\n    first_time = not os.path.exists(filename)\n    with open(filename, \"a\") as f:\n        if first_time:\n            f.write(\"# xx yy zz yz xz xy\\n\")\n        if S.shape == (3, 3):\n            xx, yy, zz = S[0, 0], S[1, 1], S[2, 2]\n            yz, xz, xy = S[1, 2], S[0, 2], S[0, 1]\n            f.write(f\"{xx: .6f} {yy: .6f} {zz: .6f} {yz: .6f} {xz: .6f} {xy: .6f}\\n\")\n        else:\n            # assume already 6-component\n            f.write(\" \".join(f\"{x: .6f}\" for x in S) + \"\\n\")\n\n# ===================== 4. Main workflow =====================\n\nif __name__ == \"__main__\":\n    # --- user settings ---\n    infile = \"bddc_exp.cif\"               # Original CIF\n    rearranged_cif = \"rearranged_bddc.cif\"  # Reordered output CIF\n    latte_workdir = \".\"               # Folder with LATTE_DOUBLE, TBparam, MDcontroller\n\n    # 1) Reorder CIF + fix formula, get reordered Atoms\n    desired_order = (\"O\", \"H\", \"C\")   #(you can see the order through running with original one for 1 step and observe from \"lastsystem.cfg\")\n    atoms = reorder_cif_and_fix_formula(infile, rearranged_cif, desired_order)\n\n    # 2) Attach LATTE calculator\n    calc = LATTECalculator(exe=\"./LATTE_DOUBLE\", workdir=latte_workdir)\n    atoms.set_calculator(calc)\n\n    # 3) Cell + atomic relaxation with FIRE\n    ucf = UnitCellFilter(atoms)\n    opt = FIRE(ucf, dt=0.2, maxmove=0.2, logfile=\"latte_opt.log\")\n\n    # Attach stress logger (uses closure over 'atoms')\n    opt.attach(lambda: log_stress(atoms, filename=\"stress_log.txt\"), interval=10)\n\n    opt.run(fmax=0.1)\n\n    # 4) Save relaxed structure\n    write(\"Relaxed_structure.cif\", atoms)\n    print(\"Relaxed structure written to Relaxed_structure.cif\")\n\n"
  },
  {
    "path": "pyxtal/interface/vasp.py",
    "content": "import os\nimport time\n\nimport numpy as np\nfrom ase import Atoms\nfrom ase.calculators.vasp import Vasp\nfrom ase.io import read\n\nfrom pyxtal import pyxtal\nfrom pyxtal.util import good_lattice\n\n\"\"\"\nA script to perform multistages vasp calculation\n\"\"\"\n\n\nclass VASP:\n    \"\"\"\n    This is a calculator to perform structure optimization in GULP\n    At the moment, only inorganic crystal is considered\n\n    Args:\n\n    struc: structure object generated by Pyxtal\n    ff: path of forcefield lib\n    opt: `conv`, `conp`, `single`\n    \"\"\"\n\n    def __init__(self, struc, path=\"tmp\", cmd=\"mpirun -np 16 vasp_std\"):\n        if isinstance(struc, pyxtal):\n            struc = struc.to_ase()\n\n        if not isinstance(struc, Atoms):\n            raise NotImplementedError(\"only support ASE atoms object\")\n\n        self.structure = struc\n        self.folder = path\n        if not os.path.exists(self.folder):\n            os.makedirs(self.folder)\n        self.pstress = 0.0\n        self.energy = None\n        self.energy_per_atom = None\n        self.stress = None\n        self.forces = None\n        self.gap = None\n        self.cputime = 0\n        self.error = True\n        self.cmd = cmd\n\n    def set_vasp(self, level=0, pstress=0.0000, setup=None):\n        self.pstress = pstress\n        default0 = {\n            \"xc\": \"pbe\",\n            \"npar\": 8,\n            \"kgamma\": True,\n            \"lcharg\": False,\n            \"lwave\": False,\n            \"ibrion\": 2,\n            \"pstress\": pstress * 10,\n            \"setups\": setup,\n        }\n        if level == 0:\n            default1 = {\n                \"prec\": \"low\",\n                \"algo\": \"normal\",\n                \"kspacing\": 0.4,\n                \"isif\": 4,\n                \"ediff\": 1e-2,\n                \"nsw\": 10,\n                \"potim\": 0.02,\n            }\n        elif level == 1:\n            default1 = {\n                \"prec\": \"normal\",\n                \"algo\": \"normal\",\n                \"kspacing\": 0.3,\n                \"isif\": 3,\n                \"ediff\": 1e-3,\n                \"nsw\": 25,\n                \"potim\": 0.05,\n            }\n        elif level == 2:\n            default1 = {\n                \"prec\": \"accurate\",\n                \"kspacing\": 0.2,\n                \"isif\": 3,\n                \"ediff\": 1e-3,\n                \"nsw\": 50,\n                \"potim\": 0.1,\n            }\n        elif level == 3:\n            default1 = {\n                \"prec\": \"accurate\",\n                \"encut\": 600,\n                \"kspacing\": 0.15,\n                \"isif\": 3,\n                \"ediff\": 1e-4,\n                \"nsw\": 50,\n            }\n        elif level == 4:\n            default1 = {\n                \"prec\": \"accurate\",\n                \"encut\": 600,\n                \"kspacing\": 0.15,\n                \"isif\": 3,\n                \"ediff\": 1e-4,\n                \"nsw\": 0,\n            }\n\n        dict_vasp = dict(default0, **default1)\n        return Vasp(**dict_vasp)\n\n    def read_OUTCAR(self, path=\"OUTCAR\"):\n        \"\"\"read time and ncores info from OUTCAR\"\"\"\n        time = 0\n        ncore = 0\n        for line in open(path):\n            if line.rfind(\"running on  \") > -1:\n                ncore = int(line.split()[2])\n            elif line.rfind(\"Elapsed time \") > -1:\n                time = float(line.split(\":\")[-1])\n        self.cputime = time\n        self.ncore = ncore\n\n    def read_OSZICAR(self, path=\"OSZICAR\"):\n        \"\"\"read the enthalpy from OSZICAR\"\"\"\n        energy = 100000\n        for line in open(path):\n            if line.rfind(\" F= \") > -1:\n                energy = float(line.split()[2])\n        self.energy = energy  # this is actually enthalpy\n\n    def read_bandgap(self, path=\"vasprun.xml\"):\n        from vasprun import vasprun\n\n        myrun = vasprun(path)\n        self.gap = myrun.values[\"gap\"]\n\n    def run(self, setup=None, pstress=0, level=0, clean=True, read_gap=False, walltime=None):\n        if walltime is not None:\n            os.environ[\"VASP_COMMAND\"] = \"timeout \" + max_time + \" \" + self.cmd\n        else:\n            os.environ[\"VASP_COMMAND\"] = self.cmd\n        cwd = os.getcwd()\n        setups = self.set_vasp(level, pstress, setup)\n        self.structure.set_calculator(setups)\n        os.chdir(self.folder)\n        try:\n            self.structure.get_potential_energy()\n            self.error = False\n            self.read_OSZICAR()\n        except RuntimeError:\n            # VASP is not full done\n            if os.path.exists('OSZICAR'):\n                self.read_OSZICAR()\n                if self.energy < 10000:\n                    self.error = False\n            else:\n                self.error = True\n        except (IndexError, ValueError, UnboundLocalError):\n            print(\"Error in parsing vasp output or VASP calc is wrong\")\n            os.system(\"cp OUTCAR Error-OUTCAR\")\n\n        if not self.error:\n            try:\n                self.forces = self.structure.get_forces()\n            except:\n                self.forces = np.zeros([len(self.structure), 3])\n            self.energy_per_atom = self.energy / len(self.structure)\n            self.read_OUTCAR()\n            if read_gap:\n                self.read_bandgap()\n        if clean and not self.error:\n            self.clean()\n\n        os.chdir(cwd)\n\n    def clean(self):\n        os.remove(\"POSCAR\")\n        os.remove(\"POTCAR\")\n        os.remove(\"INCAR\")\n        os.remove(\"OUTCAR\")\n        if os.path.exists(\"OSZICAR\"):\n            os.remove(\"OSZICAR\")\n            os.remove(\"DOSCAR\")\n            os.remove(\"EIGENVAL\")\n            #os.remove(\"vasprun.xml\")\n            #os.remove(\"vasp.out\")\n            os.remove(\"ase-sort.dat\")\n\n    def to_pymatgen(self):\n        from pymatgen.core.structure import Structure\n\n        return Structure(self.lattice.matrix, self.sites, self.frac_coords)\n\n    def to_pyxtal(self):\n        struc = pyxtal()\n        struc.from_seed(self.structure)\n        return struc\n\n\ndef single_optimize(\n    struc,\n    level,\n    pstress,\n    setup,\n    path,\n    clean,\n    cmd=\"mpirun -np 16 vasp_std\",\n    walltime=\"30m\",\n):\n    \"\"\"\n    single optmization\n\n    Args:\n        struc: pyxtal structure\n        level: vasp calc level\n        pstress: external pressure\n        setup: vasp setup\n        path: calculation directory\n\n    Returns:\n        the structure, energy and time costs\n    \"\"\"\n    cwd = os.getcwd()\n    calc = VASP(struc, path, cmd=cmd)\n    calc.run(setup, pstress, level, clean=clean)\n    if calc.error:\n        os.chdir(cwd)\n        return None, None, 0, True\n    else:\n        try:\n            struc = calc.to_pyxtal()\n            struc.optimize_lattice()\n            return struc, calc.energy_per_atom, calc.cputime, calc.error\n        except:\n            print('vasp single_optimize failed in ', cwd)\n            os.chdir(cwd)\n            return None, None, 0, True\n\n\ndef single_point(struc, setup=None, path=None, clean=True):\n    \"\"\"\n    single optmization\n\n    Args:\n        struc: pyxtal structure\n        level: vasp calc level\n        pstress: external pressure\n        setup: vasp setup\n        path: calculation directory\n\n    Returns:\n        the energy and forces\n    \"\"\"\n    calc = VASP(struc, path)\n    calc.run(setup, level=4, clean=clean)\n    return calc.energy, calc.forces, calc.error\n\n\ndef optimize(\n    struc,\n    path,\n    levels=None,\n    pstress=0,\n    setup=None,\n    clean=True,\n    cmd=\"mpirun -np 16 vasp_std\",\n    walltime=\"30m\",\n):\n    \"\"\"\n    multi optimization\n\n    Args:\n        struc: pyxtal structure\n        path: calculation directory\n        levels: list of vasp calc levels\n        pstress: external pressure\n        setup: vasp setup\n\n    Returns:\n        list of structure, energies and time costs\n    \"\"\"\n\n    if levels is None:\n        levels = [0, 2, 3]\n    time_total = 0\n    for _i, level in enumerate(levels):\n        struc, eng, time, error = single_optimize(struc, level, pstress, setup, path, clean, cmd, walltime)\n\n        time_total += time\n        # print(eng, time, time_total, '++++++++++++++++++++++++++++++')\n        if error or not good_lattice(struc):\n            print(\"VASP failed in \", os.getcwd(), error)\n            return None, None, 0, True\n    return struc, eng, time_total, error\n\n\ndef VASP_relax(struc, opt_cell=False, step=100, kspacing=0.25, pstress=0, folder=\"tmp\"):\n    if not os.path.exists(folder):\n        os.makedirs(folder)\n    cwd = os.getcwd()\n    os.chdir(folder)\n\n    isif = 3 if opt_cell else 2\n\n    calc = Vasp(\n        xc=\"PBE\",\n        prec=\"Accurate\",\n        npar=8,\n        kgamma=True,\n        lcharg=False,\n        lwave=False,\n        ibrion=2,\n        pstress=pstress,\n        kspacing=kspacing,\n        nsw=step,\n        isif=isif,\n        potim=0.05,\n        ediff=1e-3,\n    )\n    struc.set_calculator(calc)\n    energy = struc.get_potential_energy()\n    struc = read(\"CONTCAR\", format=\"vasp\")\n    os.chdir(cwd)\n    return struc, energy\n\n\nif __name__ == \"__main__\":\n    while True:\n        struc = pyxtal()\n        struc.from_random(3, 19, [\"C\"], [4])\n        if struc.valid:\n            break\n\n    # set up the commands\n    os.system(\"source /share/intel/mkl/bin/mklvars.sh intel64\")\n    cmd = \"mpirun -n 4 /share/apps/bin/vasp544-2019u2/vasp_std\"\n\n    calc = VASP(struc, path=\"tmp\", cmd=cmd)\n    calc.run()\n    print(\"Energy:\", calc.energy)\n    print(\"Forces\", calc.forces)\n\n    struc, eng, time, _ = optimize(struc, path=\"tmp\", levels=[0, 1, 2], cmd=cmd, walltime=\"30s\")\n    print(struc)\n    print(\"Energy:\", eng)\n    print(\"Time:\", time)\n\n    calc = VASP(struc, path=\"tmp\", cmd=cmd)\n    calc.run(level=4, read_gap=True)\n    print(\"Energy:\", calc.energy)\n    print(\"Gap:\", calc.gap)\n"
  },
  {
    "path": "pyxtal/io.py",
    "content": "\"\"\"\nThis module handles reading and write crystal files.\n\"\"\"\n\nimport importlib.resources\n\nimport numpy as np\nfrom monty.serialization import loadfn\nfrom pymatgen.core.bonds import CovalentBond\nfrom pymatgen.core.structure import Molecule, Structure\n\nfrom pyxtal.constants import logo\nfrom pyxtal.lattice import Lattice\nfrom pyxtal.molecule import Orientation, compare_mol_connectivity, pyxtal_molecule\nfrom pyxtal.msg import ReadSeedError\nfrom pyxtal.symmetry import Group\nfrom pyxtal.util import get_symmetrized_pmg\nfrom pyxtal.wyckoff_site import atom_site, mol_site\n\nwith importlib.resources.as_file(importlib.resources.files(\"pyxtal\") / \"database\" / \"bonds.json\") as path:\n    bonds = loadfn(path)\n\n\ndef in_merged_coords(wp, pt, pts, cell):\n    \"\"\"\n    Check if a point is within a set of points.\n\n    Args:\n        wp: Wyckoff position object\n        pt: Tuple of (coordinates, species) for the point to check\n        pts: List of (coordinates, species) tuples to check against\n        cell: Unit cell matrix\n\n    Returns:\n        bool: True if pt matches any point in pts, False otherwise\n    \"\"\"\n    (c, s) = pt\n    for pt0 in pts:\n        (c0, s0) = pt0\n        if s == s0 and wp.are_equivalent_pts(c, c0, cell):\n            # print(c, c0, 'equivalent')\n            return True\n    return False\n\n\ndef get_cif_str_for_pyxtal(struc, header: str = \"\", sym_num=None, style: str = \"mp\"):\n    \"\"\"\n    Get the cif string for a given structure.\n    \n    The default setting for _atom_site follows the materials project cif format.\n    TODO: make this a method of the pyxtal class\n\n    Args:\n        struc: PyXtal structure object\n        header: Additional information\n        sym_num: Number of symmetry operations. None means write all symops\n        style: Format type - either 'icsd' or 'mp' (used in pymatgen)\n    \n    Returns:\n        str: CIF format string representation of the structure\n    \"\"\"\n    if struc.molecular:\n        sites = struc.mol_sites\n        molecule = True\n        # special = struc.has_special_site()\n        # print('===============================================', struc)\n    else:\n        sites = struc.atom_sites\n        molecule = False\n\n    if sym_num is None:\n        l_type = struc.group.lattice_type\n        number = struc.group.number\n        G1 = struc.group[0]\n        symbol = struc.group.symbol if G1.is_standard_setting() else sites[0].wp.get_hm_symbol()\n\n    else:  # P1 symmetry\n        l_type = \"triclinic\"\n        symbol = \"P1\"\n        number = 1\n        G1 = Group(1).Wyckoff_positions[0]\n\n    lines = logo\n    lines += \"data_\" + header + \"\\n\"\n    if hasattr(struc, \"energy\"):\n        eng = struc.energy / sum(struc.numMols) if struc.molecular else struc.energy / sum(struc.numIons)\n        lines += f\"#Energy: {eng} eV/cell\\n\"\n\n    lines += f\"\\n_symmetry_space_group_name_H-M '{symbol:s}'\\n\"\n    lines += f\"_symmetry_Int_Tables_number      {number:>15d}\\n\"\n    lines += f\"_symmetry_cell_setting           {l_type:>15s}\\n\"\n\n    a, b, c, alpha, beta, gamma = struc.lattice.get_para(degree=True)\n    lines += f\"_cell_length_a        {a:12.6f}\\n\"\n    lines += f\"_cell_length_b        {b:12.6f}\\n\"\n    lines += f\"_cell_length_c        {c:12.6f}\\n\"\n    lines += f\"_cell_angle_alpha     {alpha:12.6f}\\n\"\n    lines += f\"_cell_angle_beta      {beta:12.6f}\\n\"\n    lines += f\"_cell_angle_gamma     {gamma:12.6f}\\n\"\n    lines += f\"_cell_volume          {struc.lattice.volume:12.6f}\\n\"\n    # if struc.molecular:\n    #    lines += '_cell_formula_units_Z     {:d}\\n'.format(sum(struc.numMols))\n    # else:\n    #    lines += '_cell_formula_units_Z     {:d}\\n'.format(sum(struc.numIons))\n\n    lines += \"\\nloop_\\n\"\n    lines += \" _symmetry_equiv_pos_site_id\\n\"\n    lines += \" _symmetry_equiv_pos_as_xyz\\n\"\n\n    for i, op in enumerate(G1):\n        lines += f\"{i + 1:d} '{op.as_xyz_str():s}'\\n\"\n\n    lines += \"\\nloop_\\n\"\n    lines += \" _atom_site_label\\n\"\n    lines += \" _atom_site_type_symbol\\n\"\n    lines += \" _atom_site_symmetry_multiplicity\\n\"\n    if style == \"icsd\":\n        lines += \" _atom_site_Wyckoff_symbol\\n\"\n    lines += \" _atom_site_fract_x\\n\"\n    lines += \" _atom_site_fract_y\\n\"\n    lines += \" _atom_site_fract_z\\n\"\n    lines += \" _atom_site_occupancy\\n\"\n\n    for site in sites:\n        mul = site.wp.multiplicity\n        letter = site.wp.letter\n        if molecule:\n            if sym_num is None:\n                coord0s, specie0s = site._get_coords_and_species(first=True)\n                if site.wp.index > 0:\n                    # print(\"#Check if the mul is consistent!\", site.wp.index)\n                    muls = []\n                    coords = []\n                    species = []\n                    merges = []\n\n                    for coord, specie in zip(coord0s, specie0s):\n                        _, wp, _ = G1.merge(coord, struc.lattice.matrix, 0.05)\n                        if len(wp) > mul:\n                            if not in_merged_coords(G1, [coord, specie], merges, struc.lattice.matrix):\n                                # print(\"General Position\", specie, coord)\n                                coords.append(coord)\n                                species.append(specie)\n                                muls.append(len(wp))\n                                merges.append((coord, specie))\n                        else:\n                            # print(\"Special Position\", specie, coord)\n                            coords.append(coord)\n                            species.append(specie)\n                            muls.append(mul)\n\n                else:\n                    coords, species = coord0s, specie0s\n                    muls = [mul] * len(coords)\n            else:\n                coords_list = []\n                species = []\n                for id in range(sym_num):\n                    mol = site.get_mol_object(id)\n                    tmp = mol.cart_coords.dot(site.lattice.inv_matrix)\n                    coords_list.append(tmp)\n                    species.extend([s.value for s in mol.species])\n                coords = np.concatenate(coords_list, axis=0)\n                muls = [mul] * len(coords)\n                # coords, species = site._get_coords_and_species(ids=sym_num)\n        else:\n            coords, species, muls = [site.position], [site.specie], [mul]\n\n        for specie, coord, mul in zip(species, coords, muls):\n            lines += f\"{specie:6s} {specie:6s} {mul:3d} \"\n            if style != \"mp\":\n                lines += f\"{letter:s} \"\n            lines += \"{:12.6f}{:12.6f}{:12.6f} 1\\n\".format(*coord)\n    lines += \"#END\\n\\n\"\n\n    return lines\n\n\ndef write_cif(struc, filename=None, header=\"\", permission=\"w\", sym_num=None, style=\"mp\"):\n    \"\"\"\n    Export the structure in cif format.\n    The default setting for _atom_site follows the materials project cif\n\n    Args:\n        struc: pyxtal structure object\n        filename: path of the structure file\n        header: additional information\n        permission: write(`w`) or append(`a+`) to the given file\n        sym_num: the number of symmetry operations, None means writing all symops\n        style: `icsd` or `mp` (used in pymatgen)\n\n    \"\"\"\n    lines = get_cif_str_for_pyxtal(struc, header=header, sym_num=sym_num, style=style)\n\n    if filename is None:\n        return lines\n    else:\n        with open(filename, permission) as f:\n            f.write(lines)\n        return None\n\n\ndef read_cif(filename):\n    \"\"\"\n    Read a CIF file, primarily designed for PyXtal CIF output format.\n    Warning: Use caution when reading other CIF files.\n\n    Parameters\n    ----------\n    filename : str\n        Path to the CIF structure file\n    \n    Returns\n    -------\n    tuple\n        (Lattice, list of sites) representing the crystal structure\n    \"\"\"\n    species = []\n    coords = []\n    with open(filename) as f:\n        lines = f.readlines()\n        for i, line in enumerate(lines):\n            if line.startswith(\"_symmetry_Int_Tables_number\"):\n                sg = int(line.split()[-1])\n            elif line.startswith(\"_cell_length_a\"):\n                a = float(lines[i].split()[-1])\n                b = float(lines[i + 1].split()[-1])\n                c = float(lines[i + 2].split()[-1])\n                alpha = float(lines[i + 3].split()[-1])\n                beta = float(lines[i + 4].split()[-1])\n                gamma = float(lines[i + 5].split()[-1])\n            elif line.startswith(\"_symmetry_cell_setting\"):\n                lat_type = line.split()[-1]\n            elif line.startswith(\"_symmetry_space_group_name_H-M \"):\n                symbol = line.split()[-1]\n                diag = eval(symbol) in [\"Pn\", \"P21/n\", \"C2/n\"]\n\n            elif line.find(\"_atom_site\") >= 0:\n                s = i\n                while True:\n                    s += 1\n                    if lines[s].find(\"_atom_site\") >= 0:\n                        pass\n                    elif len(lines[s].split()) <= 3:\n                        break\n                    else:\n                        tmp = lines[s].split()\n                        pos = [float(tmp[-4]), float(tmp[-3]), float(tmp[-2])]\n                        species.append(tmp[0])\n                        coords.append(pos)\n                break\n\n    wp0 = Group(sg)[0]\n    lattice = Lattice.from_para(a, b, c, alpha, beta, gamma, lat_type)\n    sites = []\n    for specie, coord in zip(species, coords):\n        pt, wp, _ = wp0.merge(coord, lattice.matrix, tol=0.1)\n        sites.append(atom_site(wp, pt, specie, diag))\n    return lattice, sites\n\n\nclass structure_from_ext:\n    def __init__(self, struc, ref_mols, tol=0.2, ignore_HH=False, add_H=False, hn=None):\n        \"\"\"\n        Extract mol_site information from a CIF file and reference molecule.\n\n        Args:\n            struc (str or Structure): CIF/POSCAR file or Pymatgen Structure object\n            ref_mols (list): List of reference molecules (xyz file or Pyxtal molecule) \n            tol (float): Scale factor for covalent bond distance\n            ignore_HH (bool): Whether to ignore short H-H bonds when checking molecules\n            add_H (bool): Whether to add H atoms\n            hn (int, optional): Hall number. Defaults to None.\n        \"\"\"\n\n        for i, ref_mol in enumerate(ref_mols):\n            if isinstance(ref_mol, str):\n                ref_mols[i] = pyxtal_molecule(ref_mol, fix=True)\n            elif isinstance(ref_mol, pyxtal_molecule):\n                continue\n            else:\n                print(type(ref_mol))\n                raise NameError(f\"reference molecule of type {type(ref_mol)} cannot be defined\")\n\n        if isinstance(struc, str):\n            pmg_struc = Structure.from_file(struc)\n        elif isinstance(struc, Structure):\n            pmg_struc = struc\n        else:\n            print(type(struc))\n            raise NameError(\"input structure cannot be intepretted\")\n\n        # reset the hydrogen position\n        if add_H:\n            pmg_struc.remove_species(\"H\")\n\n        self.ref_mols = ref_mols\n        self.tol = tol\n        self.add_H = add_H\n\n        sym_struc, number = get_symmetrized_pmg(pmg_struc, hn=hn)\n        group = Group(number) if hn is None else Group(hn, use_hall=True)\n\n        self.group = group\n        self.wyc = group[0]\n\n        molecules = search_molecules_in_crystal(sym_struc, self.tol, ignore_HH=ignore_HH)\n\n        self.pmg_struc = sym_struc\n        matrix = sym_struc.lattice.matrix\n        ltype = group.lattice_type\n        self.lattice = Lattice.from_matrix(matrix, ltype=ltype)\n        self.resort(molecules)\n        if len(self.ids) == 0:\n            raise RuntimeError(\"Cannot extract molecules\")\n\n    def resort(self, molecules):\n        from pyxtal.operations import apply_ops, find_ids\n\n        # filter out the molecular generators\n        inv_lat = self.pmg_struc.lattice.inv_matrix\n        new_lat = self.lattice.matrix\n        positions = np.zeros([len(molecules), 3])\n        for i in range(len(molecules)):\n            positions[i] = np.dot(molecules[i].cart_coords.mean(axis=0), inv_lat)\n\n        wps = []\n        ids = []  # id for the generator\n        visited_ids = []\n        for id, pos in enumerate(positions):\n            if id not in visited_ids:\n                centers = apply_ops(pos, self.wyc)\n                tmp_ids = find_ids(centers, positions)\n                visited_ids.extend(tmp_ids)\n                # print(id, pos, tmp_ids, len(self.wyc), len(molecules[id]))\n                if len(tmp_ids) == len(self.wyc):\n                    # general position\n                    # if len(molecules[id])==1: print(\"groups\", tmp_ids, '\\n', centers)\n                    wps.append(self.wyc)\n                    ids.append(id)\n                else:  # special sites\n                    for id0 in tmp_ids:\n                        p0 = positions[id0]\n                        p1, wp, _ = self.wyc.merge(p0, new_lat, 0.1)\n                        diff = p1 - p0\n                        diff -= np.rint(diff)\n                        if np.abs(diff).sum() < 1e-2:  # sort position by mapping\n                            wps.append(wp)\n                            ids.append(id0)  # find the right ids\n                            # print(\"add special\", wp.index, id0)\n                            break\n        # print(\"===============================================================\", self.wps)\n\n        # add position and molecule, print(\"ids\", ids, mults)\n        len(ids)\n        self.numMols = [0] * len(self.ref_mols)\n        self.positions = []\n        self.wps = []\n        self.p_mols = []\n        self.ids = []\n        ids_done = []\n\n        # search for the matched molecules\n        for j, mol2_ref in enumerate(self.ref_mols):\n            mol2 = mol2_ref.copy()\n            if self.add_H:\n                mol2.mol.remove_species(\"H\")\n\n            for i, id in enumerate(ids):\n                mol1 = molecules[id]\n                # print(\"++++++++++++++++++++++++++\", id, ids, len(mol2.mol), len(mol1))\n                # print(mol2.mol.to('xyz'))\n                if id not in ids_done and len(mol2.mol) == len(mol1):\n                    p_mol = mol2_ref.copy()  # create p_mol\n                    match, mapping = compare_mol_connectivity(mol2.mol, mol1)\n                    if match:\n                        if len(mol1) > 1:\n                            # rearrange the order\n                            order = [mapping[at] for at in range(len(mol1))]\n                            xyz = mol1.cart_coords[order]\n                            # add hydrogen positions here\n                            if self.add_H:\n                                # print(mol2.smile)\n                                xyz = self.add_Hydrogens(mol2.smile, xyz)\n                            # print(xyz)\n                            frac = np.dot(xyz, inv_lat)\n                            xyz = np.dot(frac, new_lat)\n                            center = p_mol.get_center(xyz)\n                            p_mol.reset_positions(xyz - center)\n                            position = np.dot(center, np.linalg.inv(new_lat))\n                        else:\n                            xyz = mol1.cart_coords[0]\n                            position = np.dot(xyz, inv_lat)\n                        position -= np.floor(position)\n\n                        self.positions.append(position)\n                        self.p_mols.append(p_mol)\n                        self.ids.append(j)\n                        ids_done.append(id)\n\n                        self.wps.append(wps[i])\n                        self.numMols[j] += len(wps[i])\n                        # print(\"================================================ADDDDDD\", id, len(mol1))\n\n        # check if some molecules cannot be matched\n        if len(ids_done) < len(ids):\n            # print(\"==========================================================Nonmatched molecules\", ids_done, ids)\n            for id in ids:\n                if id not in ids_done:\n                    msg = \"This molecule cannot be matched to the reference\\n\"\n                    msg += \"Molecules extracted from the structure\\n\"\n                    msg += molecules[id].to(fmt=\"xyz\") + \"\\n\"\n                    msg += \"Reference molecule from smiles or xyz\\n\"\n                    msg += mol2.mol.to(fmt=\"xyz\")\n                    raise ReadSeedError(msg)\n\n    def add_Hydrogens(self, smile, xyz):\n        \"\"\"\n        add hydrogen for pymtagen molecule\n        \"\"\"\n        from rdkit import Chem\n        from rdkit.Chem import AllChem\n        from rdkit.Geometry import Point3D\n\n        # print(\"SSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSS\", smile)\n        m1 = Chem.MolFromSmiles(smile)\n        m2 = Chem.AddHs(m1)\n        if len(smile) > 100:\n            AllChem.EmbedMolecule(m2, randomSeed=3)\n        else:\n            AllChem.EmbedMolecule(m2, randomSeed=0xF00D)\n        m2 = Chem.RemoveHs(m2)\n        conf = m2.GetConformer(0)\n\n        for i in range(conf.GetNumAtoms()):\n            x, y, z = xyz[i]\n            conf.SetAtomPosition(i, Point3D(x, y, z))\n        # Chem.MolToPDBFile(m2, 'test.pdb')\n        # conf = m2.GetConformer(0); print(conf.GetPositions())\n\n        m1 = Chem.AddHs(m1)\n        if len(smile) > 100:\n            AllChem.EmbedMolecule(m1, randomSeed=3)\n        else:\n            AllChem.EmbedMolecule(m1, randomSeed=0xF00D)\n\n        # print(m1.GetNumAtoms(), m2.GetNumAtoms())\n        AllChem.UFFOptimizeMolecule(m1)\n        try:\n            m3 = AllChem.ConstrainedEmbed(m1, m2)\n        except ValueError as e:\n            raise ReadSeedError(str(e))\n\n        conf = m3.GetConformer(0)  # ; print(conf.GetPositions())\n\n        return conf.GetPositions()\n\n    def make_mol_sites(self):\n        \"\"\"\n        Generate the molecular wyckoff sites\n        \"\"\"\n        ori = Orientation(np.eye(3))\n        sites = []\n        for id, mol, pos, wp in zip(self.ids, self.p_mols, self.positions, self.wps):\n            # print(id, mol.smile, wp.multiplicity)\n            site = mol_site(mol, pos, ori, wp, self.lattice)\n            site.type = id\n            # print(pos)\n            # print(self.lattice.matrix)\n            # print([a.value for a in site.molecule.mol.species])\n            # print(site.molecule.mol.cart_coords)\n            # print(site._get_coords_and_species(absolute=True)[0][:10])\n            sites.append(site)\n        return sites\n\n    def align(self):\n        \"\"\"\n        Compute the orientation wrt the reference molecule\n        \"\"\"\n        try:\n            from openbabel import openbabel, pybel\n        except:\n            import openbabel\n            import pybel\n\n        m1 = pybel.readstring(\"xyz\", self.ref_mol.to(\"xyz\"))\n        m2 = pybel.readstring(\"xyz\", self.molecule.to(\"xyz\"))\n        aligner = openbabel.OBAlign(True, False)\n        aligner.SetRefMol(m1.OBMol)\n        aligner.SetTargetMol(m2.OBMol)\n        aligner.Align()\n        print(\"RMSD: \", aligner.GetRMSD())\n        rot = np.zeros([3, 3])\n        for i in range(3):\n            for j in range(3):\n                rot[i, j] = aligner.GetRotMatrix().Get(i, j)\n        coord2 = self.molecule.cart_coords\n        coord2 -= np.mean(coord2, axis=0)\n        coord3 = rot.dot(coord2.T).T + np.mean(self.ref_mol.cart_coords, axis=0)\n        self.mol_aligned = Molecule(self.ref_mol.atomic_numbers, coord3)\n        self.ori = Orientation(rot)\n\n    def show(self, overlay=True):\n        from pyxtal.viz import display_molecules\n\n        if overlay:\n            return display_molecules([self.ref_mol, self.mol_aligned])\n        else:\n            return display_molecules([self.ref_mol, self.molecule])\n\n\ndef search_molecules_in_crystal(struc, tol=0.2, once=False, ignore_HH=True, max_bond_length=None):\n    \"\"\"\n    Find molecules within a crystal structure.\n\n    Args:\n        struc (Structure): Pymatgen Structure object \n        tol (float): Bond distance tolerance factor. Default 0.2\n        once (bool): Whether to find only first molecule. Default False\n        ignore_HH (bool): Whether to ignore short H-H bonds. Default True \n        max_bond_length (float, optional): Maximum allowed bond length for missing entries\n\n    Returns:\n        list[Molecule]: List of pymatgen Molecule objects representing found molecules\n    \"\"\"\n\n    def check_one_layer(struc, sites0, visited):\n        new_members = []\n        for site0 in sites0:\n            sites_add, visited = check_one_site(struc, site0, visited)\n            new_members.extend(sites_add)\n        return new_members, visited\n\n    def check_one_site(struc, site0, visited, rmax=2.8):\n        neigh_sites = struc.get_neighbors(site0, rmax)\n        ids = [m.index for m in visited]\n        sites_add = []\n        ids_add = []\n        pbc = isinstance(struc, Structure)\n\n        for site1 in neigh_sites:\n            if site1.index not in ids + ids_add:\n                try:\n                    if CovalentBond.is_bonded(site0, site1, tol):\n                        if pbc:\n                            (d, image) = site0.distance_and_image(site1)\n                        else:\n                            d = site0.distance(site1)\n                        val1, val2 = site1.specie.value, site0.specie.value\n                        key = f\"{val1:s}-{val2:s}\"\n\n                        # sometime the H-H short distance is not avoidable\n                        if key == \"H-H\":\n                            if not ignore_HH:\n                                if pbc:\n                                    site1.frac_coords += image\n                                sites_add.append(site1)\n                                ids_add.append(site1.index)\n                        else:\n                            if d < bonds.get(key,max_bond_length):\n                                if pbc:\n                                    site1.frac_coords += image\n                                sites_add.append(site1)\n                                ids_add.append(site1.index)\n                except ValueError:\n                    # QZ: use our own bond distance lib\n                    if pbc:\n                        (d, image) = site0.distance_and_image(site1)\n                    else:\n                        d = site0.distance(site1)\n\n                    val1, val2 = site1.specie.value, site0.specie.value\n                    key = f\"{val1:s}-{val2:s}\"\n                    if d < bonds[key]:\n                        if pbc:\n                            site1.frac_coords += image\n                        sites_add.append(site1)\n                        ids_add.append(site1.index)\n\n        if len(sites_add) > 0:\n            visited.extend(sites_add)\n\n        return sites_add, visited\n\n    molecules = []\n    visited_ids = []\n\n    for id, site in enumerate(struc.sites):\n        if id not in visited_ids:\n            first_site = site\n            visited = [first_site]\n            first_site.index = id\n            n_iter, max_iter = 0, len(struc) - len(visited_ids)\n            while n_iter < max_iter:\n                if n_iter == 0:\n                    new_sites, visited = check_one_site(struc, first_site, visited)\n                else:\n                    new_sites, visited = check_one_layer(struc, new_sites, visited)\n                n_iter += 1\n                if len(new_sites) == 0:\n                    break\n\n            coords = [s.coords for s in visited]\n            coords = np.array(coords)\n            numbers = [s.specie.number for s in visited]\n            molecules.append(Molecule(numbers, coords))\n            visited_ids.extend([s.index for s in visited])\n            # print(molecules[-1].to(fmt='xyz')); import sys; sys.exit()\n        if once and len(molecules) == 1:\n            break\n\n    return molecules\n\n\nif __name__ == \"__main__\":\n    from pyxtal.database.collection import Collection\n\n    pmg = Structure.from_file(\"pyxtal/database/cifs/resorcinol.cif\")\n    mols = search_molecules_in_crystal(pmg, tol=0.2, once=False)\n    print(len(mols))\n\n    pmg = Collection(\"molecules\")[\"xxv\"]\n    mols = search_molecules_in_crystal(pmg, tol=0.2, once=False)\n    print(len(mols))\n"
  },
  {
    "path": "pyxtal/lattice.py",
    "content": "# Standard Libraries\nfrom __future__ import annotations\n\nimport numpy as np\nfrom numpy.random import Generator\n\n# PyXtal imports\nfrom pyxtal.constants import deg, ltype_keywords, rad\nfrom pyxtal.msg import VolumeError\nfrom pyxtal.operations import angle, create_matrix\n\n\nclass Lattice:\n    \"\"\"\n    Class for storing and generating crystal lattices.\n\n    Args:\n    -----\n    ltype : str\n        Type of lattice from the predefined list\n    volume : float\n        Volume of the lattice in Angstroms cubed\n    matrix : ndarray\n        3x3 matrix representing the lattice vectors\n    PBC : list\n        Periodic boundary condition list. 1 means periodic, 0 means non-periodic.\n        Example: [1,1,1] is 3D periodic, [0,0,1] is periodic only along z\n    **kwargs : dict\n        Optional parameters for lattice generation:\n\n        - area : float\n            Cross-sectional area (Å²) for 1D crystals only\n        - thickness : float\n            Cell thickness (Å) for 2D crystals only\n        - unique_axis : str\n            Axis ('a','b' or 'c') that is not symmetrically equivalent to others.\n            Use default values for random crystal generation\n        - random : bool\n            If False, preserves stored lattice geometry when resetting matrix.\n            Use set_matrix() or set_para to modify\n        - min_l : float\n            Minimum allowed cell vector length\n        - mid_l : float\n            Minimum allowed length for second shortest cell vector\n        - max_l : float\n            Minimum allowed length for longest cell vector\n        - allow_volume_reset : bool\n            Whether to reset volume during crystal generation attempts\n    \"\"\"\n\n    def __init__(\n        self, ltype, volume=None, matrix=None, PBC=None, random_state: int | None | Generator = None, **kwargs\n    ):\n        # Set required parameters\n        if PBC is None:\n            PBC = [1, 1, 1]\n\n        if ltype in ltype_keywords:\n            self.ltype = ltype.lower()\n        elif ltype is None:\n            self.ltype = \"triclinic\"\n        else:\n            msg = \"Invalid lattice type: \" + ltype\n            raise ValueError(msg)\n\n        self.volume = float(volume)\n        self.PBC = PBC\n        self.dim = sum(PBC)\n        self.kwargs = {}\n        self.random = True\n\n        if isinstance(random_state, Generator):\n            self.random_state = random_state.spawn(1)[0]\n        else:\n            self.random_state = np.random.default_rng(random_state)\n\n        # Set optional values\n        self.allow_volume_reset = True\n        for key, value in kwargs.items():\n            if key in [\n                \"area\",\n                \"thickness\",\n                \"unique_axis\",\n                \"random\",\n                \"min_l\",\n                \"mid_l\",\n                \"max_l\",\n                \"min_special\",  # min special for mole\n            ]:\n                setattr(self, key, value)\n                self.kwargs[key] = value\n                if key == \"allow_volume_reset\" and value is False:\n                    self.allow_volume_reset = False\n\n        if not hasattr(self, \"unique_axis\"):\n            self.unique_axis = \"c\"\n\n        # Set stress normalization info\n        if self.ltype == \"triclinic\":\n            norm_matrix = np.ones([3, 3])\n\n        elif self.ltype == \"monoclinic\":\n            if self.PBC == [1, 1, 1]:\n                norm_matrix = np.array([[1, 0, 0], [0, 1, 0], [1, 0, 1]])\n            else:\n                if self.unique_axis == \"a\":\n                    norm_matrix = np.array([[1, 0, 0], [0, 1, 0], [0, 1, 1]])\n                elif self.unique_axis == \"b\":\n                    norm_matrix = np.array([[1, 0, 0], [0, 1, 0], [1, 0, 1]])\n                elif self.unique_axis == \"c\":\n                    norm_matrix = np.array([[1, 0, 0], [1, 1, 0], [0, 0, 1]])\n\n        elif self.ltype in [\n            \"orthorhombic\",\n            \"tetragonal\",\n            \"trigonal\",\n            \"hexagonal\",\n            \"cubic\",\n        ]:\n            norm_matrix = np.eye(3)\n\n        elif self.ltype in [\"spherical\", \"ellipsoidal\"]:\n            norm_matrix = np.zeros([3, 3])\n\n        self.stress_normalization_matrix = norm_matrix\n\n        # Set info for on-diagonal stress symmetrization\n        if self.ltype in [\"tetragonal\", \"trigonal\", \"hexagonal\"]:\n            self.stress_indices = [(0, 0), (1, 1)]\n\n        elif self.ltype in [\"cubic\"]:\n            self.stress_indices = [(0, 0), (1, 1), (2, 2)]\n\n        else:\n            self.stress_indices = []\n\n        # Set values for the matrix\n        if matrix is None:\n            self.reset_matrix()\n        else:\n            self.set_matrix(matrix)\n\n        # Set tolerance\n        if self.ltype in [\"triclinic\"]:\n            self.a_tol = 15.0\n        else:\n            self.a_tol = 9.9\n        self._get_dof()\n\n    def _get_dof(self):\n        \"\"\"\n        get the number of degree of freedom\n        \"\"\"\n        if self.ltype in [\"triclinic\"]:\n            self.dof = 6\n        elif self.ltype in [\"monoclinic\"]:\n            self.dof = 4\n        elif self.ltype in [\"orthorhombic\"]:\n            self.dof = 3\n        elif self.ltype in [\"tetragonal\", \"hexagonal\", \"trigonal\"]:\n            self.dof = 2\n        else:\n            self.dof = 1\n\n    def get_bounds(self, min_vec=2.0, max_vec=50.0, min_ang=30, max_ang=150):\n        \"\"\"\n        get the number of degree of freedom\n        \"\"\"\n        if self.ltype in [\"triclinic\"]:\n            self.bounds = [(min_vec, max_vec), (min_vec, max_vec), (min_vec, max_vec),\n                           (min_ang, max_ang), (min_ang, max_ang), (min_ang, max_ang)]\n        elif self.ltype in [\"monoclinic\"]:\n            self.bounds = [(min_vec, max_vec), (min_vec, max_vec), (min_vec, max_vec),\n                           (min_ang, max_ang)]\n        elif self.ltype in [\"orthorhombic\"]:\n            self.bounds = [(min_vec, max_vec), (min_vec, max_vec), (min_vec, max_vec)]\n        elif self.ltype in [\"tetragonal\", \"hexagonal\", \"trigonal\"]:\n            self.bounds = [(min_vec, max_vec), (min_vec, max_vec)]\n        else:\n            self.bounds = [(min_vec, max_vec)]\n        return self.bounds\n\n    @classmethod\n    def get_dofs(self, ltype):\n        \"\"\"\n        get the number of degree of freedom\n        \"\"\"\n        # if ltype is None: ltype = self.ltype\n\n        if ltype in [\"triclinic\"]:\n            dofs = [3, 3]\n        elif ltype in [\"monoclinic\"]:\n            dofs = [3, 1]\n        elif ltype in [\"orthorhombic\"]:\n            dofs = [3, 0]\n        elif ltype in [\"tetragonal\", \"hexagonal\", \"trigonal\"]:\n            dofs = [2, 0]\n        else:\n            dofs = [1, 0]\n        return dofs\n\n    def copy(self):\n        \"\"\"\n        simply copy the structure\n        \"\"\"\n        from copy import deepcopy\n\n        return deepcopy(self)\n\n    def get_lengths(self):\n        mat = create_matrix(self.PBC, True)\n        mat = np.dot(mat, self.matrix)\n        return mat, np.linalg.norm(mat, axis=1)\n\n    def scale(self, factor=1.1):\n\n        matrix = self.matrix\n        return Lattice.from_matrix(matrix * factor, ltype=self.ltype)\n\n    def get_permutation_matrices(self):\n        \"\"\"\n        Return the possible permutation matrices that donot violate the symmetry\n        \"\"\"\n        if self.ltype in [\"monoclinic\"]:  # permutation between a and c\n            return np.array(\n                [\n                    [[1, 0, 0], [0, 1, 0], [0, 0, 1]],  # self\n                    [[0, 0, 1], [0, 1, 0], [1, 0, 0]],  # a-c\n                ]\n            )\n        elif self.ltype in [\"triclinic\"]:\n            return np.array(\n                [\n                    [[1, 0, 0], [0, 1, 0], [0, 0, 1]],  # self\n                    [[1, 0, 0], [0, 0, 1], [0, 1, 0]],  # b-c\n                    [[0, 0, 1], [0, 1, 0], [1, 0, 0]],  # a-c\n                    [[0, 1, 0], [1, 0, 0], [0, 0, 1]],  # a-b\n                ]\n            )\n        else:\n            return [np.eye(3)]\n\n    def get_transformation_matrices(self):\n        \"\"\"\n        Return possible transformation matrices that donot violate the symmetry\n        \"\"\"\n        if self.ltype in [\"monoclinic\"]:\n            return np.array(\n                [\n                    [[1, 0, 0], [0, 1, 0], [0, 0, 1]],\n                    [[1, 0, 0], [0, 1, 0], [1, 0, 1]],\n                    [[1, 0, 0], [0, 1, 0], [-1, 0, 1]],\n                    [[1, 0, 1], [0, 1, 0], [0, 0, 1]],\n                    [[1, 0, -1], [0, 1, 0], [0, 0, 1]],\n                    [[1, 0, 0], [0, -1, 0], [0, 0, -1]],  # change angle\n                    # [[-1,0,0],[0,1,0],[0,0,1]], #change angle\n                ]\n            )\n\n        elif self.ltype in [\"triclinic\"]:\n            return np.array(\n                [\n                    [[1, 0, 0], [0, 1, 0], [0, 0, 1]],\n                    [[1, 0, 0], [0, 1, 0], [1, 0, 1]],\n                    [[1, 0, 0], [0, 1, 0], [-1, 0, 1]],\n                    [[1, 0, 1], [0, 1, 0], [0, 0, 1]],\n                    [[1, 0, -1], [0, 1, 0], [0, 0, 1]],\n                    [[1, 0, 0], [0, 1, 0], [0, 1, 1]],\n                    [[1, 0, 0], [0, 1, 1], [0, 0, 1]],\n                    [[1, 0, 0], [0, 1, 0], [0, -1, 1]],\n                    [[1, 0, 0], [0, 1, -1], [0, 0, 1]],\n                    [[1, 1, 0], [0, 1, 0], [0, 0, 1]],\n                    [[1, -1, 0], [0, 1, 0], [0, 0, 1]],\n                    [[1, 0, 0], [1, 1, 0], [0, 0, 1]],\n                    [[1, 0, 0], [-1, 1, 0], [0, 0, 1]],\n                    # [[-1,0,0],[0,-1,0],[0,0,1]],\n                    # [[1,0,0],[0,-1,0],[0,0,-1]],\n                    # [[-1,0,0],[0,1,0],[0,0,-1]],\n                    [[-1, 0, 0], [0, 1, 0], [0, 0, 1]],\n                    [[1, 0, 0], [0, -1, 0], [0, 0, 1]],\n                    [[1, 0, 0], [0, 1, 0], [0, 0, -1]],\n                ]\n            )\n        else:\n            return [np.eye(3)]\n\n    def search_transformations(self, lat_ref, d_tol=1.0, f_tol=0.1):\n        \"\"\"\n        search the closest match to the reference lattice object\n\n        Args:\n            lat_ref: reference lattice object\n            d_tol: tolerance in angle\n            f_tol:\n            a_tol:\n\n        Returns:\n            a two steps of transformation matrix if the match is possible\n        \"\"\"\n        # Find all possible permutation and transformation matrices\n        trans1 = self.get_permutation_matrices()\n        trans2 = self.get_transformation_matrices()\n        tols = np.zeros([len(trans2) * len(trans1), 3])\n        trans = []\n        switchs = []\n\n        count = 0\n        for _i, tran1 in enumerate(trans1):\n            lat0 = self.transform(tran1)\n            for _j, tran2 in enumerate(trans2):\n                tmp = np.dot(tran2, lat0.matrix)\n                try:\n                    # print(\"Start\", np.linalg.det(tmp))\n                    lat2 = Lattice.from_matrix(tmp, ltype=self.ltype)\n                    # print(\"End\", np.linalg.det(lat2.matrix))\n                    d_tol1, f_tol1, a_tol1, switch = lat2.get_diff(lat_ref)\n                    # print(d_tol1, f_tol1, a_tol1, switch)\n                except:\n                    d_tol1, f_tol1, a_tol1, switch = 10, 1.0, 90, None\n                tols[count] = [d_tol1, f_tol1, a_tol1]\n                trans.append([tran1, tran2])\n                switchs.append(switch)\n                count += 1\n\n        trans_good = []\n        tols_good = []\n        for id in range(len(tols)):\n            if (tols[id, 0] < d_tol or tols[id, 1] < f_tol) and tols[id, 2] < self.a_tol:\n                if switchs[id]:\n                    trans[id].extend([[[1, 0, 0], [0, -1, 0], [0, 0, -1]]])\n                # print(tols[id], len(trans[id]))\n                trans_good.append(trans[id])\n                tols_good.append(tols[id])\n\n        return trans_good, tols_good\n\n    def search_transformation(self, lat_ref, d_tol=1.0, f_tol=0.1):\n        \"\"\"\n        search the closest match to the reference lattice object\n\n        Args:\n            lat_ref: reference lattice object\n            d_tol: tolerance in angle\n            f_tol:\n            a_tol:\n\n        Returns:\n            a two steps of transformation matrix if the match is possible\n        \"\"\"\n        # Find all possible permutation and transformation matrices\n        trans1 = self.get_permutation_matrices()\n        trans2 = self.get_transformation_matrices()\n\n        tols = np.zeros([len(trans2) * len(trans1) + 1, 3])\n        trans = []\n        switchs = []\n\n        # Check it self\n        d_tol1, f_tol1, a_tol1, switch = self.get_diff(lat_ref)\n        tols[0] = [d_tol1, f_tol1, a_tol1]\n        switchs.append(switch)\n        trans.append([np.eye(3)])\n\n        count = 0\n        for _i, tran1 in enumerate(trans1):\n            lat0 = self.transform(tran1)\n            for _j, tran2 in enumerate(trans2):\n                count += 1\n                tmp = np.dot(tran2, lat0.matrix)\n                try:\n                    # print(i, j, self.ltype)\n                    lat2 = Lattice.from_matrix(tmp, ltype=self.ltype)\n                    d_tol1, f_tol1, a_tol1, switch = lat2.get_diff(lat_ref)\n                    # print(d_tol1, f_tol1, a_tol1, switch)\n                except:\n                    d_tol1, f_tol1, a_tol1, switch = 10, 1.0, 90, None\n                tols[count] = [d_tol1, f_tol1, a_tol1]\n                trans.append([tran1, tran2])\n                switchs.append(switch)\n\n        # QZ: needs to figure out a better way to select the best\n        rms = tols.sum(axis=1)\n        ids = np.argsort(rms)\n        id = ids[0]\n        # print(tols, rms)\n        # print(id, switchs[id])\n        if abs(rms[ids[0]] - rms[ids[1]]) < 1e-3 and switchs[ids[0]] and not switchs[ids[1]]:\n            id = ids[1]\n            # print(\"change id 1\", id)\n        if id != 0 and abs(rms[0] - rms[id]) < 1.0:\n            # print(\"change id 2\", id, rms[0], rms[id])\n            id = 0\n\n        if (tols[id, 0] < d_tol or tols[id, 1] < f_tol) and tols[id, 2] < self.a_tol:\n            if switchs[id]:\n                trans[id].append([[1, 0, 0], [0, -1, 0], [0, 0, -1]])\n                return trans[id], tols[id]\n            else:\n                return trans[id], tols[id]\n        else:\n            # print(\"===================================Cannot match:\", tols[id])\n            return None, None\n\n    def optimize_once(self, reset=False):\n        \"\"\"\n        Optimize the lattice's inclination angles\n        \"\"\"\n        opt = False\n        trans = self.get_transformation_matrices()\n        if len(trans) > 1:\n            diffs = []\n            for tran in trans:\n                cell_new = np.dot(tran, self.matrix)\n                try:\n                    lat_new = Lattice.from_matrix(cell_new, ltype=self.ltype)\n                    diffs.append(lat_new.get_worst_angle())\n                except:\n                    diffs.append(100)\n            id = np.array(diffs).argmin()\n            if id > 0 and diffs[id] < diffs[0] - 0.01:\n                opt = True\n                tran = trans[id]\n                cell = np.dot(tran, self.matrix)\n                lat = Lattice.from_matrix(cell, ltype=self.ltype, reset=reset)\n                return lat, tran, opt\n        return self, np.eye(3), opt\n\n    def get_worst_angle(self):\n        \"\"\"\n        return the worst inclination angle difference w.r.t 90 degree\n        \"\"\"\n        return np.max(abs(np.array([self.alpha, self.beta, self.gamma]) - np.pi / 2))\n\n    def optimize_multi(self, iterations=5):\n        \"\"\"\n        Optimize the lattice if the cell has a bad inclination angles\n\n        Args:\n            iterations: maximum number of iterations\n            force: whether or not do the early termination\n\n        Returns:\n            the optimized lattice\n        \"\"\"\n        lattice = self\n        trans_matrices = []\n        for _i in range(iterations):\n            lattice, trans, opt = lattice.optimize_once(reset=True)\n            if opt:\n                trans_matrices.append(trans)\n            else:\n                break\n        return lattice, trans_matrices\n\n    def standardize(self):\n        \"\"\"\n        Force the angle to be smaller than 90 degree\n        \"\"\"\n        change = False\n        if self.ltype in [\"monoclinic\"]:\n            if self.beta > np.pi / 2:\n                self.beta = np.pi - self.beta\n                change = True\n        elif self.ltype in [\"triclinic\"]:\n            if self.alpha > np.pi / 2:\n                self.alpha = np.pi - self.alpha\n                change = True\n            if self.beta > np.pi / 2:\n                self.beta = np.pi - self.beta\n                change = True\n            if self.gamma > np.pi / 2:\n                self.gamma = np.pi - self.gamma\n                change = True\n\n        if change:\n            para = (self.a, self.b, self.c, self.alpha, self.beta, self.gamma)\n            self.matrix = para2matrix(para)\n\n    def transform(self, trans_mat=None, reset=False):\n        \"\"\"\n        Optimize the lattice's inclination angles\n        If reset is False, may return negative lattice\n        \"\"\"\n        if trans_mat is None:\n            trans_mat = np.eye(3)\n\n        if not isinstance(trans_mat, np.ndarray):\n            trans_mat = np.array(trans_mat)\n\n        cell = np.dot(trans_mat, self.matrix)\n        return Lattice.from_matrix(cell, ltype=self.ltype, reset=reset)\n\n    def transform_multi(self, trans, reset=True):\n        \"\"\"\n        Optimize the lattice's inclination angles\n        \"\"\"\n        lat = self\n        for tran in trans:\n            lat = lat.transform(tran, reset)\n        return lat\n\n    def encode(self):\n        a, b, c, alpha, beta, gamma = self.get_para(degree=True)\n        if self.ltype in [\"cubic\"]:\n            return [a]\n        elif self.ltype in [\"hexagonal\", \"trigonal\", \"tetragonal\"]:\n            return [a, c]\n        elif self.ltype in [\"orthorhombic\"]:\n            return [a, b, c]\n        elif self.ltype in [\"monoclinic\"]:\n            return [a, b, c, beta]\n        else:\n            return [a, b, c, alpha, beta, gamma]\n\n    @classmethod\n    def from_1d_representation(self, v, ltype):\n        # print('test', v, type(v), len(v), v[0])\n        if ltype == \"triclinic\":\n            a, b, c, alpha, beta, gamma = v[0], v[1], v[2], v[3], v[4], v[5]\n        elif ltype == \"monoclinic\":\n            a, b, c, alpha, beta, gamma = v[0], v[1], v[2], 90, v[3], 90\n        elif ltype == \"orthorhombic\":\n            a, b, c, alpha, beta, gamma = v[0], v[1], v[2], 90, 90, 90\n        elif ltype == \"tetragonal\":\n            a, b, c, alpha, beta, gamma = v[0], v[0], v[1], 90, 90, 90\n        elif ltype in [\"trigonal\", \"hexagonal\"]:\n            a, b, c, alpha, beta, gamma = v[0], v[0], v[1], 90, 90, 120\n        else:\n            a, b, c, alpha, beta, gamma = v[0], v[0], v[0], 90, 90, 90\n        try:\n            return Lattice.from_para(a, b, c, alpha, beta, gamma, ltype=ltype)\n        except:\n            print(a, b, c, alpha, beta, gamma, ltype)\n\n    def update_from_1d_representation(self, v):\n        \"\"\"\n        Update the cell para and matrix from the 1d rep\n        \"\"\"\n        if self.ltype == \"triclinic\":\n            self.a, self.b, self.c = v[:3]\n            self.alpha, self.beta, self.gamma = np.radians(v[3:])\n        elif self.ltype == \"monoclinic\":\n            self.a, self.b, self.c = v[:3]\n            self.beta = np.radians(v[3])\n        elif self.ltype == \"orthorhombic\":\n            self.a, self.b, self.c = v[:3]\n        elif self.ltype in [\"tetragonal\", \"trigonal\", \"hexagonal\"]:\n            self.a, self.b, self.c = v[0], v[0], v[1]\n        else:\n            self.a, self.b, self.c = v[0], v[0], v[0]\n\n        para = (self.a, self.b, self.c, self.alpha, self.beta, self.gamma)\n        matrix = para2matrix(para)\n        if matrix is not None:\n            self.set_matrix(matrix)\n        else:\n            msg = f'error input {v} in update_from_1d_representation {self.ltype}'\n            raise ValueError(msg)\n\n    def mutate(self, degree=0.10, frozen=False):\n        \"\"\"\n        Mutate the lattice object\n        \"\"\"\n        rand = 1 + degree * (self.random_state.random(6) - 0.5)\n        a0, b0, c0, alpha0, beta0, gamma0 = self.get_para()\n        a = a0 * rand[0]\n        b = b0 * rand[1]\n        c = c0 * rand[2]\n        alpha = np.degrees(alpha0 * rand[3])\n        beta = np.degrees(beta0 * rand[4])\n        gamma = np.degrees(gamma0 * rand[5])\n        ltype = self.ltype\n\n        if self.ltype in [\"cubic\"]:\n            if frozen:\n                lat = Lattice.from_para(a0, a0, a0, 90, 90, 90, ltype=ltype)\n            else:\n                lat = Lattice.from_para(a, a, a, 90, 90, 90, ltype=ltype)\n        elif ltype in [\"hexagonal\", \"trigonal\"]:\n            if frozen:\n                lat = Lattice.from_para(a0, a0, c, 90, 90, 120, ltype=ltype)\n            else:\n                lat = Lattice.from_para(a, a, c, 90, 90, 120, ltype=ltype)\n        elif ltype in [\"tetragonal\"]:\n            if frozen:\n                lat = Lattice.from_para(a0, a0, c, 90, 90, 90, ltype=ltype)\n            else:\n                lat = Lattice.from_para(a, a, c, 90, 90, 90, ltype=ltype)\n        elif ltype in [\"orthorhombic\"]:\n            lat = Lattice.from_para(a, b, c, 90, 90, 90, ltype=ltype)\n        elif ltype in [\"monoclinic\"]:\n            lat = Lattice.from_para(a, b, c, 90, beta, 90, ltype=ltype)\n        elif ltype in [\"triclinic\"]:\n            lat = Lattice.from_para(a, b, c, alpha, beta, gamma, ltype=ltype)\n        else:\n            raise ValueError(f\"ltype {ltype:s} is not supported\")\n        return lat\n\n    def generate_para(self):\n        if self.dim == 3:\n            return generate_cellpara(self.ltype, self.volume, random_state=self.random_state, **self.kwargs)\n        elif self.dim == 2:\n            return generate_cellpara_2D(self.ltype, self.volume, random_state=self.random_state, **self.kwargs)\n        elif self.dim == 1:\n            return generate_cellpara_1D(self.ltype, self.volume, random_state=self.random_state, **self.kwargs)\n        elif self.dim == 0:\n            return generate_cellpara_0D(self.ltype, self.volume, random_state=self.random_state, **self.kwargs)\n        return None\n\n    def generate_matrix(self):\n        \"\"\"\n        Generates a 3x3 matrix for a lattice based on the lattice type and volume\n        \"\"\"\n        # Try multiple times in case of failure\n        for _i in range(10):\n            para = self.generate_para()\n            if para is not None:\n                return para2matrix(para)\n        return None\n\n    def get_matrix(self, shape=\"upper\"):\n        \"\"\"\n        Returns a 3x3 numpy array representing the lattice vectors.\n        \"\"\"\n        return self.matrix\n\n    def get_para(self, degree=False):\n        \"\"\"\n        Returns a tuple of lattice parameters.\n        \"\"\"\n        if degree:\n            return (\n                self.a,\n                self.b,\n                self.c,\n                deg * self.alpha,\n                deg * self.beta,\n                deg * self.gamma,\n            )\n        else:\n            return (self.a, self.b, self.c, self.alpha, self.beta, self.gamma)\n\n    def set_matrix(self, matrix=None):\n        if matrix is not None:\n            m = np.array(matrix)\n            if np.shape(m) == (3, 3):\n                self.matrix = m\n                try:\n                    self.inv_matrix = np.linalg.inv(m)\n                except:\n                    print(self.para)\n                    print(matrix)\n                    msg = \"Error in getting the inv_matrix\"\n                    raise ValueError(msg)\n            else:\n                print(matrix)\n                msg = \"Error: matrix must be a 3x3 numpy array or list\"\n                raise ValueError(msg)\n        else:\n            self.reset_matrix()\n\n        para = matrix2para(self.matrix)\n        self.a, self.b, self.c, self.alpha, self.beta, self.gamma = para\n        self.volume = np.linalg.det(self.matrix)\n\n    def set_para(self, para=None, radians=False):\n        if para is not None:\n            if radians is False:\n                para[3] *= rad\n                para[4] *= rad\n                para[5] *= rad\n            self.set_matrix(para2matrix(para))\n        else:\n            self.set_matrix()\n\n    def update_para(self, id, change):\n        para = [self.a, self.b, self.c, self.alpha, self.beta, self.gamma]\n        para[id] += change\n        self.set_matrix(para2matrix(para))\n\n    def reset_matrix(self, shape=\"upper\"):\n        if self.random:\n            success = False\n            for _i in range(5):\n                m = self.generate_matrix()\n                if m is not None:\n                    self.matrix = m\n                    self.inv_matrix = np.linalg.inv(m)\n                    [a, b, c, alpha, beta, gamma] = matrix2para(self.matrix)\n                    self.a = a\n                    self.b = b\n                    self.c = c\n                    self.alpha = alpha\n                    self.beta = beta\n                    self.gamma = gamma\n                    success = True\n                    break\n            if not success:\n                msg = \"Cannot generate a good matrix\"\n                raise ValueError(msg)\n        else:\n            # a small utility to convert the cell shape\n            para = matrix2para(self.matrix)\n            self.matrix = para2matrix(para, format=shape)\n            self.inv_matrix = np.linalg.inv(self.matrix)\n\n    def set_volume(self, volume):\n        if self.allow_volume_reset:\n            self.volume = volume\n\n    def swap_axis(self, random=False, ids=None):\n        \"\"\"\n        For the lattice\n        \"\"\"\n        # only applied to triclinic/monoclinic/orthorhombic\n        if self.ltype in [\"triclinic\", \"orthorhombic\", \"Orthorhombic\"]:\n            allowed_ids = [\n                [0, 1, 2],\n                [1, 0, 2],\n                [0, 2, 1],\n                [2, 1, 0],\n                [1, 2, 0],\n                [2, 0, 1],\n            ]\n\n        elif self.ltype in [\"monoclinic\"]:\n            if abs(self.beta - 90 * rad) > 1e-3:\n                allowed_ids = [[0, 1, 2], [2, 1, 0]]\n            else:\n                allowed_ids = [\n                    [0, 1, 2],\n                    [1, 0, 2],\n                    [0, 2, 1],\n                    [2, 1, 0],\n                    [1, 2, 0],\n                    [2, 0, 1],\n                ]\n        else:\n            allowed_ids = [[0, 1, 2]]\n\n        if random:\n            ids = self.random_state.choice(allowed_ids)\n        else:\n            if ids not in allowed_ids:\n                print(ids)\n                raise ValueError(\"the above swap is not allowed in \" + self.ltype)\n\n        (a, b, c, alpha, beta, gamma) = self.get_para()\n        alpha, beta, gamma = alpha * deg, beta * deg, gamma * deg\n        if ids is None:\n            return self\n        elif ids == [1, 0, 2]:  # a->b\n            return self.from_para(b, a, c, beta, alpha, gamma, self.ltype)\n        elif ids == [2, 1, 0]:  # a->c\n            return self.from_para(c, b, a, gamma, beta, alpha, self.ltype)\n        elif ids == [0, 2, 1]:  # b-c\n            return self.from_para(a, c, b, alpha, gamma, beta, self.ltype)\n        elif ids == [2, 0, 1]:\n            return self.from_para(c, a, b, gamma, alpha, beta, self.ltype)\n        elif ids == [1, 2, 0]:\n            return self.from_para(b, c, a, beta, gamma, alpha, self.ltype)\n        else:\n            return self\n\n    def swap_angle(self, random=True, ids=None):\n        # only applied to triclinic/monoclinic #/hexagonal\n        \"\"\"\n        If the angle is not 90. There will be two equivalent versions\n        e.g., 80 and 100.\n        \"\"\"\n        if self.ltype in [\"monoclinic\"]:\n            allowed_ids = [\"beta\", \"No\"]\n        elif self.ltype in [\"triclinic\"]:\n            allowed_ids = [\"alpha\", \"beta\", \"gamma\", \"No\"]\n        else:\n            allowed_ids = [\"No\"]\n\n        if random:\n            ids = self.random_state.choice(allowed_ids)\n        else:\n            if ids not in allowed_ids:\n                print(ids)\n                raise ValueError(\"the above swap is not allowed in \" + self.ltype)\n\n        (a, b, c, alpha, beta, gamma) = self.get_para()\n        alpha, beta, gamma = alpha * deg, beta * deg, gamma * deg\n        if ids is None:\n            return self\n        elif ids == \"alpha\":\n            return self.from_para(a, b, c, 180 - alpha, beta, gamma, self.ltype)\n        elif ids == \"beta\":\n            return self.from_para(a, b, c, alpha, 180 - beta, gamma, self.ltype)\n        elif ids == \"gamma\":\n            return self.from_para(a, b, c, alpha, beta, 180 - gamma, self.ltype)\n        else:\n            return self\n\n    def add_vacuum(self, coor, frac=True, vacuum=15, PBC=None):\n        \"\"\"\n        Adds space above and below a 2D or 1D crystal.\n\n        Args:\n            coor: the relative coordinates of the crystal\n            vacuum: the amount of space, in Angstroms, to add above and below\n            PBC: A periodic boundary condition list,\n                Ex: [1,1,1] -> full 3d periodicity, [0,0,1] -> periodicity\n                along the z axis\n\n        Returns:\n            The transformed lattice and coordinates after the vacuum is added\n        \"\"\"\n        if PBC is None:\n            PBC = [0, 0, 0]\n        matrix = self.matrix\n        absolute_coords = np.dot(coor, matrix) if frac else coor\n\n        for i, a in enumerate(PBC):\n            if not a:\n                ratio = 1 + vacuum / np.linalg.norm(matrix[i])\n                matrix[i] *= ratio\n                absolute_coords[:, i] += vacuum / 2\n        coor = np.dot(absolute_coords, np.linalg.inv(matrix)) if frac else absolute_coords\n        return matrix, coor\n\n    def generate_point(self):\n        if self.ltype in [\"spherical\", \"ellipsoidal\"]:\n            # Choose a point within an octant of the unit sphere using Marsaglia's method\n            # Generate 3D vector from normal distribution\n            vec = self.random_state.normal(0, 1, 3)\n            # Generate random radius\n            r = self.random_state.random() ** (1 / 3)\n            # Normalize and scale\n            point = r * vec / np.linalg.norm(vec)\n        else:\n            point = self.random_state.random(3)\n\n            for i, a in enumerate(self.PBC):\n                if not a:\n                    if self.ltype in [\"hexagonal\", \"trigonal\"]:\n                        point[i] *= 1.0 / np.sqrt(3.0)\n                    else:\n                        point[i] -= 0.5\n        return point\n\n    @classmethod\n    def from_para(\n        self,\n        a,\n        b,\n        c,\n        alpha,\n        beta,\n        gamma,\n        ltype=\"triclinic\",\n        radians=False,\n        PBC=None,\n        factor=1.0,\n        force_symmetry=False,\n        **kwargs,\n    ):\n        \"\"\"\n        Creates a Lattice object from 6 lattice parameters. Additional keyword\n        arguments  are available. Unless specified by the keyword random=True,\n        does not create a new matrix upon calling reset_matrix. This allows\n        for generation of random crystals with a specific choice of unit cell.\n\n        Args:\n            a: The length (in Angstroms) of the unit cell vectors\n            b: The length (in Angstroms) of the unit cell vectors\n            c: The length (in Angstroms) of the unit cell vectors\n            alpha: the angle (in degrees) between the b and c vectors\n            beta: the angle (in degrees) between the a and c vectors\n            gamma: the angle (in degrees) between the a and b vectors\n            ltype: the lattice type (\"cubic, tetragonal, etc.\"). Also available\n                are \"spherical\", which confines generated points to lie within a\n                sphere, and \"ellipsoidal\", which confines generated points to lie\n                within an ellipse (oriented about the z axis)\n            radians: whether or not to use radians (instead of degrees) for the\n                lattice angles\n            PBC: A periodic boundary condition list, where 1 means periodic,\n                0 means not periodic.\n                Ex: [1,1,1] -> full 3d periodicity, [0,0,1] -> periodicity along\n                the z axis\n            kwargs: various values which may be defined. If none are defined,\n                random ones will be generated. Values will be passed to\n                generate_lattice. Options include:\n                area: The cross-sectional area (in Angstroms squared). Only used\n                    to generate 1D crystals\n                thickness: The unit cell's non-periodic thickness (in Angstroms).\n                    Only used to generate 2D crystals\n                unique_axis: The unique axis for certain symmetry (and especially\n                    layer) groups. Because the symmetry operations are not also\n                    transformed, you should use the default values for random\n                    crystal generation\n                random: If False, keeps the stored values for the lattice geometry\n                    even upon applying reset_matrix. To alter the matrix,\n                    use set_matrix() or set_para\n                'unique_axis': the axis ('a', 'b', or 'c') which is unique\n                'min_l': the smallest allowed cell vector.\n                'mid_l': the second smallest allowed cell vector.\n                'max_l': the third smallest allowed cell vector.\n\n        Returns:\n            a Lattice object with the specified parameters\n        \"\"\"\n        if PBC is None:\n            PBC = [1, 1, 1]\n        try:\n            cell_matrix = para2matrix((a, b, c, alpha, beta, gamma), radians=radians)\n            cell_matrix *= factor\n        except Exception as err:\n            msg = \"Error: invalid cell parameters for lattice.\"\n            raise ValueError(msg) from err\n\n        if force_symmetry:\n            return Lattice.from_matrix(cell_matrix, ltype=ltype)\n        else:\n            volume = np.linalg.det(cell_matrix)\n            # Initialize a Lattice instance\n            l = Lattice(ltype, volume, PBC=PBC, **kwargs)\n            l.a, l.b, l.c = factor * a, factor * b, factor * c\n            l.alpha, l.beta, l.gamma = alpha * rad, beta * rad, gamma * rad\n            l.matrix = cell_matrix\n            l.inv_matrix = np.linalg.inv(cell_matrix)\n            l.ltype = ltype\n            l.volume = volume\n            l.random = False\n            l.allow_volume_reset = False\n            return l\n\n    @classmethod\n    def from_matrix(\n        self,\n        matrix,\n        reset=True,\n        shape=\"upper\",\n        ltype=\"triclinic\",\n        PBC=None,\n        **kwargs,\n    ):\n        \"\"\"\n        Creates a Lattice object from a 3x3 cell matrix. Additional keywords\n        are available. Unless specified by the keyword random=True, does not\n        create a new matrix upon calling reset_matrix. This allows for a random\n        crystals with a specific choice of unit cell.\n\n        Args:\n            matrix: a 3x3 real matrix (numpy array or nested list) for the cell\n            ltype: the lattice type (\"cubic, tetragonal, etc.\"). Also can be\n                - \"spherical\", confines points to lie within a sphere,\n                - \"ellipsoidal\", points to lie within an ellipsoid (about z axis)\n            PBC: A periodic boundary condition list, where 1 is periodic\n                Ex: [1,1,1] -> full 3d periodicity, [0,0,1] -> periodicity at z.\n            kwargs: various values which may be defined. Random ones if None\n                Values will be passed to generate_lattice. Options include:\n                `area: The cross-sectional area (in Ang^2) for 1D crystals\n                `thickness`: The cell's thickness (in Ang) for 2D crystals\n                `unique_axis`: The unique axis for layer groups.\n                `random`: If False, keeps the stored values for the lattice\n                geometry even applying reset_matrix. To alter the matrix,\n                use `set_matrix()` or `set_para`\n                'unique_axis': the axis ('a', 'b', or 'c') which is unique.\n                'min_l': the smallest allowed cell vector.\n                'mid_l': the second smallest allowed cell vector.\n                'max_l': the third smallest allowed cell vector.\n\n        Returns:\n            a Lattice object with the specified parameters\n        \"\"\"\n        if PBC is None:\n            PBC = [1, 1, 1]\n\n        m = np.array(matrix)\n        if np.shape(m) != (3, 3):\n            print(matrix)\n            msg = \"Error: matrix must be a 3x3 numpy array or list\"\n            raise ValueError(msg)\n\n        [a, b, c, alpha, beta, gamma] = matrix2para(m)\n\n        # symmetrize the lattice\n        if reset:\n            if ltype in [\"cubic\", \"Cubic\"]:\n                a = b = c = (a + b + c) / 3\n                alpha = beta = gamma = np.pi / 2\n            elif ltype in [\"hexagonal\", \"trigonal\", \"Hexagonal\", \"Trigonal\"]:\n                a = b = (a + b) / 2\n                alpha = beta = np.pi / 2\n                gamma = np.pi * 2 / 3\n            elif ltype in [\"tetragonal\", \"Tetragonal\"]:\n                a = b = (a + b) / 2\n                alpha = beta = gamma = np.pi / 2\n            elif ltype in [\"orthorhombic\", \"Orthorhombic\"]:\n                alpha = beta = gamma = np.pi / 2\n            elif ltype in [\"monoclinic\", \"Monoclinic\"]:\n                alpha = gamma = np.pi / 2\n\n            # reset matrix according to the symmetry\n            m = para2matrix([a, b, c, alpha, beta, gamma], format=shape)\n\n        # Initialize a Lattice instance\n        volume = np.linalg.det(m)\n        l = Lattice(ltype, volume, m, PBC=PBC, **kwargs)\n        l.a, l.b, l.c = a, b, c\n        l.alpha, l.beta, l.gamma = alpha, beta, gamma\n        l.matrix = m\n        l.inv_matrix = np.linalg.inv(m)\n        l.ltype = ltype\n        l.volume = volume\n        l.random = False\n        l.allow_volume_reset = False\n        return l\n\n    def is_valid_matrix(self):\n        \"\"\"\n        check if the cell parameter is reasonable or not\n        \"\"\"\n\n        try:\n            paras = [self.a, self.b, self.c, self.alpha, self.beta, self.gamma]\n            para2matrix(paras)\n            return True\n        except:\n            return False\n\n    def is_valid_lattice(self, tol=1e-3):\n        ltype = self.ltype.lower()\n\n        def check_angles(angles):\n            return all(abs(angle - np.pi / 2) <= tol for angle in angles)\n\n        if ltype == \"cubic\":\n            return (\n                abs(self.a - self.b) <= tol\n                and abs(self.a - self.c) <= tol\n                and check_angles([self.alpha, self.beta, self.gamma])\n            )\n\n        elif ltype in [\"hexagonal\", \"trigonal\"]:\n            return (\n                abs(self.a - self.b) <= tol\n                and check_angles([self.alpha, self.beta])\n                and abs(self.gamma - 2 / 3 * np.pi) <= tol\n            )\n\n        elif ltype == \"tetragonal\":\n            return abs(self.a - self.b) <= tol and check_angles([self.alpha, self.beta, self.gamma])\n\n        elif ltype == \"orthorhombic\":\n            return check_angles([self.alpha, self.beta, self.gamma])\n\n        elif ltype == \"monoclinic\":\n            return check_angles([self.alpha, self.gamma])\n\n        return True\n\n    def check_mismatch(self, trans, l_type, tol=1.0, a_tol=10):\n        \"\"\"\n        check if the lattice mismatch is big after a transformation\n        This is mostly used in supergroup function\n        QZ: to fix ===============\n\n        Args:\n            trans: 3*3 matrix\n            l_type: lattice_type like orthrhombic\n            tol: tolerance in a, b, c\n            a_tol: tolerance in alpha, beta, gamma\n\n        Returns:\n            True or False\n        \"\"\"\n        matrix = np.dot(trans.T, self.matrix)\n        l1 = Lattice.from_matrix(matrix)\n        l2 = Lattice.from_matrix(matrix, ltype=l_type)\n        (a1, b1, c1, alpha1, beta1, gamma1) = l1.get_para(degree=True)\n        (a2, b2, c2, alpha2, beta2, gamma2) = l2.get_para(degree=True)\n        abc_diff = np.abs(np.array([a2 - a1, b2 - b1, c2 - c1])).max()\n        ang_diff = np.abs(np.array([alpha2 - alpha1, beta2 - beta1, gamma2 - gamma1])).max()\n        return not (abc_diff > tol or ang_diff > a_tol)\n\n    def get_diff(self, l_ref):\n        \"\"\"\n        get the difference in length, angle, and check if switch is needed\n        \"\"\"\n        (a1, b1, c1, alpha1, beta1, gamma1) = self.get_para(degree=True)\n        (a2, b2, c2, alpha2, beta2, gamma2) = l_ref.get_para(degree=True)\n        abc_diff = np.abs(np.array([a2 - a1, b2 - b1, c2 - c1])).max()\n        abc_f_diff = np.abs(np.array([(a2 - a1) / a1, (b2 - b1) / b1, (c2 - c1) / c1])).max()\n        ang_diff1 = abs(alpha1 - alpha2) + abs(beta1 - beta2) + abs(gamma1 - gamma2)\n        ang_diff2 = abs(alpha1 - alpha2)\n        ang_diff2 += abs(abs(beta1 - 90) - abs(beta2 - 90))\n        ang_diff2 += abs(gamma1 - gamma2)\n        # print(abc_diff, abc_f_diff, ang_diff1, ang_diff2, self.ltype)\n        if ang_diff1 < ang_diff2 + 0.01:\n            return abc_diff, abc_f_diff, ang_diff1, False\n        else:\n            if self.ltype == \"monoclinic\":\n                return abc_diff, abc_f_diff, ang_diff2, True\n            else:\n                return abc_diff, abc_f_diff, ang_diff2, False\n\n    def __str__(self, fmt='8.4f', ltype=True):\n        strs = f\"{self.a:{fmt}}, {self.b:{fmt}}, {self.c:{fmt}}, \"\n        strs += f\"{self.alpha * deg:{fmt}}, {self.beta * deg:{fmt}}, {self.gamma * deg:{fmt}}\"\n        if ltype: strs += f\", {self.ltype!s}\"\n        return strs\n\n    def __repr__(self):\n        return str(self)\n\n    def find_transition_to_orthoslab(self, c=(0, 0, 1), a=(1, 0, 0), m=5):\n        \"\"\"\n        Create the slab model with an approximate orthogonal box shape\n        \"\"\"\n        from pyxtal.plane import has_reduction\n\n        tol = 1e-3\n        direction = np.array(c)\n\n        # find the simplest a-direction\n        if np.dot(np.array(a), direction) < tol:\n            a_hkl = np.array(a)\n        else:\n            a_hkls = []\n            for h in range(-m, m + 1):\n                for k in range(-m, m + 1):\n                    for l in range(-m, m + 1):\n                        hkl = np.array([h, k, l])\n                        if (\n                            ([h, k, l] != [0, 0, 0])\n                            and (not has_reduction(hkl))\n                            and (abs(np.dot(hkl, direction)) < tol)\n                        ):\n                            a_hkls.append(hkl)\n            a_hkls = np.array(a_hkls)  # ; print(a_hkls)\n            a_hkl = a_hkls[np.argmin(np.abs(a_hkls).sum(axis=1))]\n        a_vector = np.dot(a_hkl, self.matrix)\n        # print('a_hkl', a_hkl)\n\n        # find the simplest b-direction\n        b_hkl = None\n        min_angle_ab = float(\"inf\")\n        for h in range(-m, m + 1):\n            for k in range(-m, m + 1):\n                for l in range(-m, m + 1):\n                    hkl = np.array([h, k, l])\n                    if ([h, k, l] != [0, 0, 0]) and (not has_reduction(hkl)) and (abs(np.dot(hkl, direction)) < tol):\n                        vector = np.dot(hkl, self.matrix)\n                        angle1 = angle(vector, a_vector, radians=False)\n                        if abs(90 - angle1) < min_angle_ab:\n                            min_angle_ab = abs(90 - angle1)\n                            b_hkl = hkl\n                            b_vector = vector\n\n        # print('b_hkl', b_hkl, min_angle_ab)\n        # change the sign\n        if abs(angle(np.cross(a_hkl, b_hkl), direction)) > tol:\n            b_hkl *= -1\n            b_vector *= -1\n\n        ## update the c_direction\n        ab_plane = np.cross(a_vector, b_vector)  # ; print('ab_plane', ab_plane)\n        c_hkl = None\n        min_angle_c = float(\"inf\")\n        for h in range(-m, m + 1):\n            for k in range(-m, m + 1):\n                for l in range(-m, m + 1):\n                    hkl = np.array([h, k, l])\n                    if [h, k, l] != [0, 0, 0] and not has_reduction(hkl):\n                        vector = np.dot(hkl, self.matrix)\n                        angle1 = angle(vector, ab_plane, radians=False)\n                        # print(hkl, angle)\n                        if abs(angle1) < abs(min_angle_c):\n                            min_angle_c = angle1\n                            c_hkl = hkl\n\n        # print(a_hkl, b_hkl, c_hkl)\n        return np.vstack([a_hkl, b_hkl, c_hkl])\n\n    def apply_transformation(self, trans):\n        \"\"\"\n        Optimize the lattice's inclination angles\n        \"\"\"\n        cell_new = np.dot(trans, self.matrix)\n        return Lattice.from_matrix(cell_new)\n\n\ndef generate_cellpara(\n    ltype,\n    volume,\n    minvec=1.2,\n    minangle=np.pi / 6,\n    max_ratio=10.0,\n    min_special=None,\n    maxattempts=100,\n    random_state: None | int | Generator = None,\n    **kwargs,\n):\n    \"\"\"\n    Generates the cell parameter (a, b, c, alpha, beta, gamma) according\n    to the space group symmetry and number of atoms. If the spacegroup\n    has centering, we will transform to conventional cell setting. If the\n    generated lattice does not meet the minimum angle and vector\n    requirements, we try to generate a new one, up to maxattempts times.\n\n    Args:\n        volume: volume of the conventional unit cell\n        minvec: minimum allowed lattice vector length (among a, b, and c)\n        minangle: minimum allowed lattice angle (among alpha, beta, and gamma)\n        max_ratio: largest allowed ratio of two lattice vector lengths\n        maxattempts: the maximum number of attempts for generating a lattice\n        kwargs: a dictionary of optional values. These include:\n            'unique_axis': the axis ('a', 'b', or 'c') which is unique.\n            'min_l': the smallest allowed cell vector.\n            'mid_l': the second smallest allowed cell vector.\n            'max_l': the third smallest allowed cell vector.\n\n    Returns:\n        a 6-length array representing the lattice of the unit cell. If\n        generation fails, outputs a warning message and returns empty\n    \"\"\"\n    if isinstance(random_state, Generator):\n        random_state = random_state.spawn(1)[0]\n    else:\n        random_state = np.random.default_rng(random_state)\n\n    min_special = kwargs.get(\"min_special\", min_special)  # ; print(\"min_special\", min_special)\n    maxangle = np.pi - minangle\n    for _n in range(maxattempts):\n        # Triclinic\n        # if sg <= 2:\n        if ltype == \"triclinic\":\n            # Derive lattice constants from a random matrix\n            mat = random_shear_matrix(width=0.2, random_state=random_state)\n            a, b, c, alpha, beta, gamma = matrix2para(mat)\n            x = np.sqrt(\n                1\n                - np.cos(alpha) ** 2\n                - np.cos(beta) ** 2\n                - np.cos(gamma) ** 2\n                + 2 * (np.cos(alpha) * np.cos(beta) * np.cos(gamma))\n            )\n            vec = random_vector(random_state=random_state)\n            abc = volume / x\n            xyz = vec[0] * vec[1] * vec[2]\n        # Monoclinic\n        elif ltype in [\"monoclinic\"]:\n            alpha, gamma = np.pi / 2, np.pi / 2\n            beta = gaussian_random_variable(minangle, maxangle, random_state=random_state)\n            x = np.sin(beta)\n            vec = random_vector(random_state=random_state)\n            xyz = vec[0] * vec[1] * vec[2]\n            abc = volume / x\n            xyz = vec[0] * vec[1] * vec[2]\n        # Orthorhombic\n        # elif sg <= 74:\n        elif ltype in [\"orthorhombic\"]:\n            alpha, beta, gamma = np.pi / 2, np.pi / 2, np.pi / 2\n            x = 1\n            vec = random_vector(random_state=random_state)\n            xyz = vec[0] * vec[1] * vec[2]\n            abc = volume / x\n        # Tetragonal\n        # elif sg <= 142:\n        elif ltype in [\"tetragonal\"]:\n            alpha, beta, gamma = np.pi / 2, np.pi / 2, np.pi / 2\n            x = 1\n            vec = random_vector(random_state=random_state)\n            c = vec[2] / (vec[0] * vec[1]) * np.cbrt(volume / x)\n            a = b = np.sqrt((volume / x) / c)\n        # Trigonal/Rhombohedral/Hexagonal\n        # elif sg <= 194:\n        elif ltype in [\"hexagonal\", \"trigonal\"]:\n            alpha, beta, gamma = np.pi / 2, np.pi / 2, np.pi / 3 * 2\n            x = np.sqrt(3.0) / 2.0\n            vec = random_vector(random_state=random_state)\n            c = vec[2] / (vec[0] * vec[1]) * np.cbrt(volume / x)\n            a = b = np.sqrt((volume / x) / c)\n        # Cubic\n        # else:\n        elif ltype in [\"cubic\"]:\n            alpha, beta, gamma = np.pi / 2, np.pi / 2, np.pi / 2\n            s = (volume) ** (1.0 / 3.0)\n            a, b, c = s, s, s\n\n        # resort a/b/c if min_special is not None for mol. xtals\n        if ltype in [\"triclinic\", \"monoclinic\", \"orthorhombic\"]:\n            vec *= np.cbrt(abc) / np.cbrt(xyz)\n            if min_special is not None:\n                ax = random_state.choice([0, 1, 2])\n                if vec[ax] < min_special:\n                    coef = random_state.uniform(0.8, 1.2) * min_special / vec[ax]\n                    for i in range(3):\n                        if i == ax:\n                            vec[i] *= coef\n                        else:\n                            vec[i] /= np.sqrt(coef)\n            [a, b, c] = vec\n\n        # Check that lattice meets requirements\n        maxvec = (a * b * c) / (minvec**2)\n\n        # Define limits on cell dimensions\n        min_l = kwargs.get(\"min_l\", minvec)\n        mid_l = kwargs.get(\"mid_l\", min_l)\n        max_l = kwargs.get(\"max_l\", mid_l)\n        l_min = min(a, b, c)\n        l_max = max(a, b, c)\n        for x in (a, b, c):\n            if x <= l_max and x >= l_min:\n                l_mid = x\n        if not (l_min >= min_l and l_mid >= mid_l and l_max >= max_l):\n            continue\n\n        if minvec < maxvec:\n            # Check minimum Euclidean distances\n            smallvec = min(\n                a * np.cos(max(beta, gamma)),\n                b * np.cos(max(alpha, gamma)),\n                c * np.cos(max(alpha, beta)),\n            )\n            if (\n                a > minvec\n                and b > minvec\n                and c > minvec\n                and a < maxvec\n                and b < maxvec\n                and c < maxvec\n                and smallvec < minvec\n                and alpha > minangle\n                and beta > minangle\n                and gamma > minangle\n                and alpha < maxangle\n                and beta < maxangle\n                and gamma < maxangle\n                and a / b < max_ratio\n                and a / c < max_ratio\n                and b / c < max_ratio\n                and b / a < max_ratio\n                and c / a < max_ratio\n                and c / b < max_ratio\n            ):\n                return np.array([a, b, c, alpha, beta, gamma])\n\n    # If maxattempts tries have been made without success\n    msg = f\"lattice fails after {maxattempts:d} cycles\"\n    msg += f\"for volume {volume:.2f}\"\n    raise VolumeError(msg)\n    # return\n\n\ndef generate_cellpara_2D(\n    ltype,\n    volume,\n    thickness=None,\n    minvec=1.2,\n    minangle=np.pi / 6,\n    max_ratio=10.0,\n    maxattempts=100,\n    random_state: None | int | Generator = None,\n    **kwargs,\n):\n    \"\"\"\n    Generates the cell parameter (a, b, c, alpha, beta, gamma) according\n    to the layer group symmetry and number of atoms. If the layer group\n    has centering, we will transform to conventional cell setting. If the\n    generated lattice does not meet the minimum angle and vector\n    requirements, we try to generate a new one, up to maxattempts times.\n\n    Note: The monoclinic layer groups have different unique axes. Groups 3-7\n        have unique axis c, while 8-18 have unique axis a. We use non-periodic\n        axis c for all layer groups.\n\n    Args:\n        num: International number of the space group\n        volume: volume of the lattice\n        thickness: 3rd-dimensional thickness of the unit cell. If set to None,\n            a thickness is chosen automatically\n        minvec: minimum allowed lattice vector length (among a, b, and c)\n        minangle: minimum allowed lattice angle (among alpha, beta, and gamma)\n        max_ratio: largest allowed ratio of two lattice vector lengths\n        maxattempts: the maximum number of attempts for generating a lattice\n        kwargs: a dictionary of optional values. These include:\n            'unique_axis': the axis ('a', 'b', or 'c') which is unique.\n            'min_l': the smallest allowed cell vector.\n            'mid_l': the second smallest allowed cell vector.\n            'max_l': the third smallest allowed cell vector.\n\n    Returns:\n        a 6-length representing the lattice vectors of the unit cell. If\n        generation fails, outputs a warning message and returns empty\n    \"\"\"\n    if isinstance(random_state, int):\n        # NOTE if random_state is an integer make a Generator to ensure randomness\n        # downstream that would be lost if integer seed used repeated\n        random_state = np.random.default_rng(random_state)\n\n    unique_axis = kwargs.get(\"unique_axis\", \"c\")\n    # Store the non-periodic axis\n    NPA = 3\n    # Set the unique axis for monoclinic cells\n    # if num in range(3, 8): unique_axis = \"c\"\n    # elif num in range(8, 19): unique_axis = \"a\"\n    maxangle = np.pi - minangle\n    for _n in range(maxattempts):\n        abc = np.ones([3])\n        if thickness is None:\n            v = random_vector(random_state=random_state)\n            thickness1 = np.cbrt(volume) * (v[0] / (v[0] * v[1] * v[2]))\n        else:\n            thickness1 = max([3.0, thickness])\n        abc[NPA - 1] = thickness1\n        alpha, beta, gamma = np.pi / 2, np.pi / 2, np.pi / 2\n        # Triclinic\n        # if num <= 2:\n        if ltype == \"triclinic\":\n            mat = random_shear_matrix(width=0.2, random_state=random_state)\n            a, b, c, alpha, beta, gamma = matrix2para(mat)\n            x = np.sqrt(\n                1\n                - np.cos(alpha) ** 2\n                - np.cos(beta) ** 2\n                - np.cos(gamma) ** 2\n                + 2 * (np.cos(alpha) * np.cos(beta) * np.cos(gamma))\n            )\n            abc[NPA - 1] = abc[NPA - 1] / x  # scale thickness by outer product of vectors\n            ab = volume / (abc[NPA - 1] * x)\n            ratio = a / b\n            if NPA == 3:\n                abc[0] = np.sqrt(ab * ratio)\n                abc[1] = np.sqrt(ab / ratio)\n            elif NPA == 2:\n                abc[0] = np.sqrt(ab * ratio)\n                abc[2] = np.sqrt(ab / ratio)\n            elif NPA == 1:\n                abc[1] = np.sqrt(ab * ratio)\n                abc[2] = np.sqrt(ab / ratio)\n\n        # Monoclinic\n        # elif num <= 18:\n        elif ltype == \"monoclinic\":\n            a, b, c = random_vector(random_state=random_state)\n            if unique_axis == \"a\":\n                alpha = gaussian_random_variable(minangle, maxangle, random_state=random_state)\n                x = np.sin(alpha)\n            elif unique_axis == \"b\":\n                beta = gaussian_random_variable(minangle, maxangle, random_state=random_state)\n                x = np.sin(beta)\n            elif unique_axis == \"c\":\n                gamma = gaussian_random_variable(minangle, maxangle, random_state=random_state)\n                x = np.sin(gamma)\n            ab = volume / (abc[NPA - 1] * x)\n            ratio = a / b\n            if NPA == 3:\n                abc[0] = np.sqrt(ab * ratio)\n                abc[1] = np.sqrt(ab / ratio)\n            elif NPA == 2:\n                abc[0] = np.sqrt(ab * ratio)\n                abc[2] = np.sqrt(ab / ratio)\n            elif NPA == 1:\n                abc[1] = np.sqrt(ab * ratio)\n                abc[2] = np.sqrt(ab / ratio)\n\n        # Orthorhombic\n        # elif num <= 48:\n        elif ltype == \"orthorhombic\":\n            vec = random_vector(random_state=random_state)\n            if NPA == 3:\n                ratio = abs(vec[0] / vec[1])  # ratio a/b\n                abc[1] = np.sqrt(volume / (thickness1 * ratio))\n                abc[0] = abc[1] * ratio\n            elif NPA == 2:\n                ratio = abs(vec[0] / vec[2])  # ratio a/b\n                abc[2] = np.sqrt(volume / (thickness1 * ratio))\n                abc[0] = abc[2] * ratio\n            elif NPA == 1:\n                ratio = abs(vec[1] / vec[2])  # ratio a/b\n                abc[2] = np.sqrt(volume / (thickness1 * ratio))\n                abc[1] = abc[2] * ratio\n\n        # Tetragonal\n        # elif num <= 64:\n        elif ltype == \"tetragonal\":\n            if NPA == 3:\n                abc[0] = abc[1] = np.sqrt(volume / thickness1)\n            elif NPA == 2:\n                abc[0] = abc[1]\n                abc[2] = volume / (abc[NPA - 1] ** 2)\n            elif NPA == 1:\n                abc[1] = abc[0]\n                abc[2] = volume / (abc[NPA - 1] ** 2)\n\n        # Trigonal/Hexagonal\n        # elif num <= 80:\n        elif ltype in [\"hexagonal\", \"trigonal\"]:\n            gamma = np.pi / 3 * 2\n            x = np.sqrt(3.0) / 2.0\n            if NPA == 3:\n                abc[0] = abc[1] = np.sqrt((volume / x) / abc[NPA - 1])\n            elif NPA == 2:\n                abc[0] = abc[1]\n                abc[2] = (volume / x)(thickness1**2)\n            elif NPA == 1:\n                abc[1] = abc[0]\n                abc[2] = (volume / x) / (thickness1**2)\n\n        para = np.array([abc[0], abc[1], abc[2], alpha, beta, gamma])\n\n        a, b, c = abc[0], abc[1], abc[2]\n        maxvec = (a * b * c) / (minvec**2)\n\n        # Define limits on cell dimensions\n        min_l = kwargs.get(\"min_l\", minvec)\n        mid_l = kwargs.get(\"mid_l\", min_l)\n        max_l = kwargs.get(\"max_l\", mid_l)\n        l_min = min(a, b, c)\n        l_max = max(a, b, c)\n        for x in (a, b, c):\n            if x <= l_max and x >= l_min:\n                l_mid = x\n        if not (l_min >= min_l and l_mid >= mid_l and l_max >= max_l):\n            continue\n\n        if minvec < maxvec:\n            smallvec = min(\n                a * np.cos(max(beta, gamma)),\n                b * np.cos(max(alpha, gamma)),\n                c * np.cos(max(alpha, beta)),\n            )\n            if (\n                a > minvec\n                and b > minvec\n                and c > minvec\n                and a < maxvec\n                and b < maxvec\n                and c < maxvec\n                and smallvec < minvec\n                and alpha > minangle\n                and beta > minangle\n                and gamma > minangle\n                and alpha < maxangle\n                and beta < maxangle\n                and gamma < maxangle\n                and a / b < max_ratio\n                and a / c < max_ratio\n                and b / c < max_ratio\n                and b / a < max_ratio\n                and c / a < max_ratio\n                and c / b < max_ratio\n            ):\n                return para\n\n    # If maxattempts tries have been made without success\n    msg = f\"Cannot get lattice after {maxattempts:d} cycles for volume {volume:.2f}\"\n    raise VolumeError(msg)\n\n\ndef generate_cellpara_1D(\n    ltype,\n    volume,\n    area=None,\n    minvec=1.2,\n    minangle=np.pi / 6,\n    max_ratio=10.0,\n    maxattempts=100,\n    random_state: None | int | Generator = None,\n    **kwargs,\n):\n    \"\"\"\n    Generates a cell parameter (a, b, c, alpha, beta, gamma) according to\n    the rod group symmetry and number of atoms. If the rod group has centering,\n    we will transform to conventional cell setting. If the generated lattice\n    does not meet the minimum angle and vector requirements, we try to\n    generate a new one, up to maxattempts times.\n\n    Note: The monoclinic Rod groups have different unique axes. Groups 3-7\n        have unique axis a, while 8-12 have unique axis c. We use periodic\n        axis c for all Rod groups.\n\n    Args:\n        num: number of the Rod group\n        volume: volume of the lattice\n        area: cross-sectional area of the unit cell in Angstroms squared. If\n            set to None, a value is chosen automatically\n        minvec: minimum allowed lattice vector length (among a, b, and c)\n        minangle: minimum allowed lattice angle (among alpha, beta, and gamma)\n        max_ratio: largest allowed ratio of two lattice vector lengths\n        maxattempts: the maximum number of attempts for generating a lattice\n        kwargs: a dictionary of optional values. These include:\n            'unique_axis': the axis ('a', 'b', or 'c') which is unique.\n            'min_l': the smallest allowed cell vector.\n            'mid_l': the second smallest allowed cell vector.\n            'max_l': the third smallest allowed cell vector.\n\n    Returns:\n        a 6-length array representing the lattice of the unit cell. If\n        generation fails, outputs a warning message and returns empty\n    \"\"\"\n    if isinstance(random_state, int):\n        # NOTE if random_state is an integer make a Generator to ensure randomness\n        # downstream that would be lost if integer seed used repeated\n        random_state = np.random.default_rng(random_state)\n\n    try:\n        unique_axis = kwargs[\"unique_axis\"]\n    except:\n        unique_axis = \"a\"\n    # Store the periodic axis\n    PA = 3\n    # Set the unique axis for monoclinic cells\n    # if num in range(3, 8): unique_axis = \"a\"\n    # elif num in range(8, 13): unique_axis = \"c\"\n    maxangle = np.pi - minangle\n    for _n in range(maxattempts):\n        abc = np.ones([3])\n        if area is None:\n            v = random_vector(random_state=random_state)\n            thickness1 = np.cbrt(volume) * (v[0] / (v[0] * v[1] * v[2]))\n        else:\n            thickness1 = volume / area\n        abc[PA - 1] = thickness1\n        alpha, beta, gamma = np.pi / 2, np.pi / 2, np.pi / 2\n        # Triclinic\n        # if num <= 2:\n        if ltype == \"triclinic\":\n            mat = random_shear_matrix(width=0.2, random_state=random_state)\n            a, b, c, alpha, beta, gamma = matrix2para(mat)\n            x = np.sqrt(\n                1\n                - np.cos(alpha) ** 2\n                - np.cos(beta) ** 2\n                - np.cos(gamma) ** 2\n                + 2 * (np.cos(alpha) * np.cos(beta) * np.cos(gamma))\n            )\n            abc[PA - 1] = abc[PA - 1] / x  # scale thickness by outer product of vectors\n            ab = volume / (abc[PA - 1] * x)\n            ratio = a / b\n            if PA == 3:\n                abc[0] = np.sqrt(ab * ratio)\n                abc[1] = np.sqrt(ab / ratio)\n            elif PA == 2:\n                abc[0] = np.sqrt(ab * ratio)\n                abc[2] = np.sqrt(ab / ratio)\n            elif PA == 1:\n                abc[1] = np.sqrt(ab * ratio)\n                abc[2] = np.sqrt(ab / ratio)\n\n        # Monoclinic\n        # elif num <= 12:\n        elif ltype == \"monoclinic\":\n            a, b, c = random_vector(random_state=random_state)\n            if unique_axis == \"a\":\n                alpha = gaussian_random_variable(minangle, maxangle, random_state=random_state)\n                x = np.sin(alpha)\n            elif unique_axis == \"b\":\n                beta = gaussian_random_variable(minangle, maxangle, random_state=random_state)\n                x = np.sin(beta)\n            elif unique_axis == \"c\":\n                gamma = gaussian_random_variable(minangle, maxangle, random_state=random_state)\n                x = np.sin(gamma)\n            ab = volume / (abc[PA - 1] * x)\n            ratio = a / b\n            if PA == 3:\n                abc[0] = np.sqrt(ab * ratio)\n                abc[1] = np.sqrt(ab / ratio)\n            elif PA == 2:\n                abc[0] = np.sqrt(ab * ratio)\n                abc[2] = np.sqrt(ab / ratio)\n            elif PA == 1:\n                abc[1] = np.sqrt(ab * ratio)\n                abc[2] = np.sqrt(ab / ratio)\n\n        # Orthorhombic\n        # lif num <= 22:\n        elif ltype == \"orthorhombic\":\n            vec = random_vector(random_state=random_state)\n            if PA == 3:\n                ratio = abs(vec[0] / vec[1])  # ratio a/b\n                abc[1] = np.sqrt(volume / (thickness1 * ratio))\n                abc[0] = abc[1] * ratio\n            elif PA == 2:\n                ratio = abs(vec[0] / vec[2])  # ratio a/b\n                abc[2] = np.sqrt(volume / (thickness1 * ratio))\n                abc[0] = abc[2] * ratio\n            elif PA == 1:\n                ratio = abs(vec[1] / vec[2])  # ratio a/b\n                abc[2] = np.sqrt(volume / (thickness1 * ratio))\n                abc[1] = abc[2] * ratio\n\n        # Tetragonal\n        # elif num <= 41:\n        elif ltype == \"tetragonal\":\n            if PA == 3:\n                abc[0] = abc[1] = np.sqrt(volume / thickness1)\n            elif PA == 2:\n                abc[0] = abc[1]\n                abc[2] = volume / (abc[PA - 1] ** 2)\n            elif PA == 1:\n                abc[1] = abc[0]\n                abc[2] = volume / (abc[PA - 1] ** 2)\n\n        # Trigonal/Rhombohedral/Hexagonal\n        # elif num <= 75:\n        elif ltype in [\"hexagonal\", \"trigonal\"]:\n            gamma = np.pi / 3 * 2\n            x = np.sqrt(3.0) / 2.0\n            if PA == 3:\n                abc[0] = abc[1] = np.sqrt((volume / x) / abc[PA - 1])\n            elif PA == 2:\n                abc[0] = abc[1]\n                abc[2] = (volume / x)(thickness1**2)\n            elif PA == 1:\n                abc[1] = abc[0]\n                abc[2] = (volume / x) / (thickness1**2)\n\n        para = np.array([abc[0], abc[1], abc[2], alpha, beta, gamma])\n\n        a, b, c = abc[0], abc[1], abc[2]\n        maxvec = (a * b * c) / (minvec**2)\n\n        # Define limits on cell dimensions\n        min_l = kwargs.get(\"min_l\", minvec)\n        mid_l = kwargs.get(\"mid_l\", min_l)\n        max_l = kwargs.get(\"max_l\", mid_l)\n        l_min = min(a, b, c)\n        l_max = max(a, b, c)\n        for x in (a, b, c):\n            if x <= l_max and x >= l_min:\n                l_mid = x\n        if not (l_min >= min_l and l_mid >= mid_l and l_max >= max_l):\n            continue\n\n        if minvec < maxvec:\n            smallvec = min(\n                a * np.cos(max(beta, gamma)),\n                b * np.cos(max(alpha, gamma)),\n                c * np.cos(max(alpha, beta)),\n            )\n            if (\n                a > minvec\n                and b > minvec\n                and c > minvec\n                and a < maxvec\n                and b < maxvec\n                and c < maxvec\n                and smallvec < minvec\n                and alpha > minangle\n                and beta > minangle\n                and gamma > minangle\n                and alpha < maxangle\n                and beta < maxangle\n                and gamma < maxangle\n                and a / b < max_ratio\n                and a / c < max_ratio\n                and b / c < max_ratio\n                and b / a < max_ratio\n                and c / a < max_ratio\n                and c / b < max_ratio\n            ):\n                return para\n\n    # If maxattempts tries have been made without success\n    msg = f\"Could not get lattice after {maxattempts:d} cycles for volume {volume:.2f}\"\n    raise VolumeError(msg)\n\n\ndef generate_cellpara_0D(\n    ltype,\n    volume,\n    area=None,\n    minvec=1.2,\n    max_ratio=10.0,\n    maxattempts=100,\n    random_state: None | int | Generator = None,\n    **kwargs,\n):\n    \"\"\"\n    Generates a cell parameter (a, b, c, alpha, beta, gamma) according to the\n    point group symmetry and number of atoms. If the generated lattice does\n    not meet the minimum angle and vector requirements, we try to generate\n    a new one, up to maxattempts times.\n\n    Args:\n        num: number of the Rod group\n        volume: volume of the lattice\n        area: cross-sectional area of the unit cell in Angstroms squared. If\n            set to None, a value is chosen automatically\n        minvec: minimum allowed lattice vector length (among a, b, and c)\n        max_ratio: largest allowed ratio of two lattice vector lengths\n        maxattempts: the maximum number of attempts for generating a lattice\n        kwargs: a dictionary of optional values. Only used for ellipsoidal\n            lattices, which pass the value to generate_lattice. They include:\n            'unique_axis': the axis ('a', 'b', or 'c') which is unique.\n            'min_l': the smallest allowed cell vector.\n            'mid_l': the second smallest allowed cell vector.\n            'max_l': the third smallest allowed cell vector.\n\n    Returns:\n        a 3x3 matrix representing the lattice vectors of the unit cell. If\n        generation fails, outputs a warning message and returns empty\n    \"\"\"\n    if isinstance(random_state, int):\n        # NOTE if random_state is an integer make a Generator to ensure randomness\n        # downstream that would be lost if integer seed used repeated\n        random_state = np.random.default_rng(random_state)\n\n    if ltype == \"spherical\":\n        # Use a cubic lattice with altered volume\n        a = b = c = np.cbrt((3 * volume) / (4 * np.pi))\n        alpha = beta = gamma = 0.5 * np.pi\n        return np.array([a, b, c, alpha, beta, gamma])\n    if ltype == \"ellipsoidal\":\n        # Use a matrix with only on-diagonal elements, with a = b\n        alpha, beta, gamma = np.pi / 2, np.pi / 2, np.pi / 2\n        x = (4.0 / 3.0) * np.pi\n        for _numattempts in range(maxattempts):\n            vec = random_vector(random_state=random_state)\n            c = vec[2] / (vec[0] * vec[1]) * np.cbrt(volume / x)\n            a = b = np.sqrt((volume / x) / c)\n            if (a / c < 10.0) and (c / a < 10.0):\n                return np.array([a, b, c, alpha, beta, gamma])\n\n    # If maxattempts tries have been made without success\n    msg = f\"Cannot get lattice after {maxattempts:d} cycles for volume {volume:.2f}\"\n    raise VolumeError(msg)\n\n\ndef matrix2para(matrix, radians=True):\n    \"\"\"\n    Given a 3x3 matrix representing a unit cell, outputs a list of lattice\n    parameters.\n\n    Args:\n        matrix: a 3x3 array or list, where the first, second, and third rows\n            represent the a, b, and c vectors respectively\n        radians: if True, outputs angles in radians. If False, outputs in\n            degrees\n\n    Returns:\n        a 1x6 list of lattice parameters [a, b, c, alpha, beta, gamma]. a, b,\n        and c are the length of the lattice vectos, and alpha, beta, and gamma\n        are the angles between these vectors (in radians by default)\n    \"\"\"\n    cell_para = np.zeros(6)\n    # a\n    cell_para[0] = np.linalg.norm(matrix[0])\n    # b\n    cell_para[1] = np.linalg.norm(matrix[1])\n    # c\n    cell_para[2] = np.linalg.norm(matrix[2])\n    # alpha\n    cell_para[3] = angle(matrix[1], matrix[2])\n    # beta\n    cell_para[4] = angle(matrix[0], matrix[2])\n    # gamma\n    cell_para[5] = angle(matrix[0], matrix[1])\n\n    if not radians:\n        # convert radians to degrees\n        deg = 180.0 / np.pi\n        cell_para[3] *= deg\n        cell_para[4] *= deg\n        cell_para[5] *= deg\n    return cell_para\n\n\n# def para2matrix(cell_para, radians=True, format=\"lower\"):\ndef para2matrix(cell_para, radians=True, format=\"upper\"):\n    \"\"\"\n    Given a set of lattic parameters, generates a matrix representing the\n    lattice vectors\n\n    Args:\n        cell_para: a 1x6 list of lattice parameters [a, b, c, alpha, beta,\n            gamma]. a, b, and c are the length of the lattice vectos, and\n            alpha, beta, and gamma are the angles between these vectors. Can\n            be generated by matrix2para\n        radians: if True, lattice parameters should be in radians. If False,\n            lattice angles should be in degrees\n        format: a string ('lower', 'symmetric', or 'upper') for the type of\n            matrix to be output\n\n    Returns:\n        a 3x3 matrix representing the unit cell. By default (format='lower'),\n        the a vector is aligined along the x-axis, and the b vector is in the\n        y-z plane\n    \"\"\"\n    a = cell_para[0]\n    b = cell_para[1]\n    c = cell_para[2]\n    alpha = cell_para[3]\n    beta = cell_para[4]\n    gamma = cell_para[5]\n    if radians is not True:\n        alpha *= rad\n        beta *= rad\n        gamma *= rad\n    cos_alpha = np.cos(alpha)\n    cos_beta = np.cos(beta)\n    cos_gamma = np.cos(gamma)\n    sin_gamma = np.sin(gamma)\n    sin_alpha = np.sin(alpha)\n    matrix = np.zeros([3, 3])\n\n    if format == \"lower\":\n        # Generate a lower-diagonal matrix\n        c1 = c * cos_beta\n        c2 = (c * (cos_alpha - (cos_beta * cos_gamma))) / sin_gamma\n        matrix[0][0] = a\n        matrix[1][0] = b * cos_gamma\n        matrix[1][1] = b * sin_gamma\n        matrix[2][0] = c1\n        matrix[2][1] = c2\n        matrix[2][2] = np.sqrt(c**2 - c1**2 - c2**2)\n    elif format == \"symmetric\":\n        # TODO: allow generation of symmetric matrices\n        pass\n    elif format == \"upper\":\n        # Generate an upper-diagonal matrix\n        a3 = a * cos_beta\n        a2 = (a * (cos_gamma - (cos_beta * cos_alpha))) / sin_alpha\n        matrix[2][2] = c\n        matrix[1][2] = b * cos_alpha\n        matrix[1][1] = b * sin_alpha\n        matrix[0][2] = a3\n        matrix[0][1] = a2\n        tmp = a**2 - a3**2 - a2**2\n        if tmp > 0:\n            matrix[0][0] = np.sqrt(a**2 - a3**2 - a2**2)\n        # elif abs(tmp) < 1e-5: #tmp is very close to 0\n        #    matrix[0][0] = 0\n        #    print(matrix)\n        else:\n            # print(tmp)\n            return None\n        # pass\n    return matrix\n\n\ndef gaussian_random_variable(min, max, sigma=3.0, random_state: None | int | Generator = None):\n    \"\"\"\n    Choose a random number from a Gaussian probability distribution centered\n    between min and max. sigma is the number of standard deviations that min\n    and max are away from the center. Thus, sigma is also the largest possible\n    number of standard deviations corresponding to the returned value. sigma=2\n    corresponds to a 95.45% probability of choosing a number between min and\n    max.\n\n    Args:\n        min: the minimum acceptable value\n        max: the maximum acceptable value\n        sigma: the number of standard deviations between the center and min/max\n\n    Returns:\n        a value chosen randomly between min and max\n    \"\"\"\n    if isinstance(random_state, Generator):\n        random_state = random_state.spawn(1)[0]\n    else:\n        random_state = np.random.default_rng(random_state)\n\n    center = (max + min) * 0.5\n    delta = np.fabs(max - min) * 0.5\n    ratio = delta / sigma\n    while True:\n        x = random_state.normal(scale=ratio, loc=center)\n        if x > min and x < max:\n            return x\n\n\ndef random_vector(minvec=None, maxvec=None, width=0.35, unit=False, random_state: None | int | Generator = None):\n    \"\"\"\n    Generate a random vector for lattice constant generation. The ratios between\n    x, y, and z of the returned vector correspond to the ratios between a, b,\n    and c. Results in a Gaussian distribution of the natural log of the ratios.\n\n    Args:\n        minvec: the bottom-left-back minimum point which can be chosen\n        maxvec: the top-right-front maximum point which can be chosen\n        width: the width of the normal distribution to use when choosing values.\n            Passed to np.random.normal\n        unit: whether or not to normalize the vector to determinant 1\n\n    Returns:\n        a 1x3 numpy array of floats\n    \"\"\"\n    if isinstance(random_state, Generator):\n        random_state = random_state.spawn(1)[0]\n    else:\n        random_state = np.random.default_rng(random_state)\n\n    # TODO these were not used in the original code, moved out of the defaults\n    # and declared if None to avoid having lists as default arguments.\n    if maxvec is None:\n        maxvec = [1.0, 1.0, 1.0]\n    if minvec is None:\n        minvec = [0.0, 0.0, 0.0]\n\n    vec = np.exp(random_state.normal(scale=width, size=3))\n    if unit:\n        return vec / np.linalg.norm(vec)\n    else:\n        return vec\n\n\ndef random_shear_matrix(width=1.0, unitary=False, random_state: None | int | Generator = None):\n    \"\"\"\n    Generate a random symmetric shear matrix with Gaussian elements. If unitary\n    is True, normalize to determinant 1\n\n    Args:\n        width: the width of the normal distribution to use when choosing values.\n            Passed to np.random.normal\n        unitary: whether or not to normalize the matrix to determinant 1\n\n    Returns:\n        a 3x3 numpy array of floats\n    \"\"\"\n    if isinstance(random_state, Generator):\n        random_state = random_state.spawn(1)[0]\n    else:\n        random_state = np.random.default_rng(random_state)\n\n    mat = np.zeros([3, 3])\n    determinant = 0\n    while determinant == 0:\n        a, b, c = random_state.normal(scale=width, size=3)\n        mat = np.array([[1, a, b], [a, 1, c], [b, c, 1]])\n        determinant = np.linalg.det(mat)\n    if unitary:\n        return mat / np.cbrt(np.linalg.det(mat))\n    else:\n        return mat\n"
  },
  {
    "path": "pyxtal/lego/SO3.py",
    "content": "from __future__ import division\nimport numpy as np\nfrom scipy.special import sph_harm, spherical_in\nfrom ase.neighborlist import NeighborList\n\n\nclass SO3:\n    '''\n    A class to generate the SO3 power spectrum components\n    based off of the Gaussian atomic neighbor density function\n    defined in \"On Representing Atomic Environments\".\n\n    args:\n        nmax: int, degree of radial expansion\n        lmax: int, degree of spherical harmonic expansion\n        rcut: float, cutoff radius for neighbor calculation\n        alpha: float, gaussian width parameter\n        weight_on: bool, if True, the neighbors with different type will be counted as negative\n    '''\n\n    def __init__(self, nmax=3, lmax=3, rcut=3.5, alpha=2.0,\n                 weight_on=False):\n        # populate attributes\n        self.nmax = nmax\n        self.lmax = lmax\n        self.rcut = rcut\n        self.alpha = alpha\n        self._type = \"SO3\"\n        self.cutoff_function = 'cosine'\n        self.weight_on = weight_on\n        self.ncoefs = self.nmax*(self.nmax+1)//2*(self.lmax+1)\n        self.tril_indices = np.tril_indices(self.nmax, k=0)\n        self.ls = np.arange(self.lmax+1)\n        self.norm = np.sqrt(2*np.sqrt(2)*np.pi/np.sqrt(2*self.ls+1))\n        self.keys = ['keys', '_nmax', '_lmax', '_rcut', '_alpha',\n                     '_cutoff_function', 'weight_on',\n                     'ncoefs', 'ls', 'norm', 'tril_indices', 'args']\n        self.args = (self.nmax, self.lmax, self.rcut, self.alpha, self._cutoff_function)\n\n    def __str__(self):\n        s = \"SO3 descriptor with Cutoff: {:6.3f}\".format(self.rcut)\n        s += \" lmax: {:d}, nmax: {:d}, alpha: {:.3f}\\n\".format(self.lmax, self.nmax, self.alpha)\n        return s\n\n    def __repr__(self):\n        return str(self)\n\n    def load_from_dict(self, dict0):\n        self.nmax = dict0[\"nmax\"]\n        self.lmax = dict0[\"lmax\"]\n        self.rcut = dict0[\"rcut\"]\n        self.alpha = dict0[\"alpha\"]\n        self.derivative = dict0[\"derivative\"]\n\n    def save_dict(self):\n        \"\"\"\n        save the model as a dictionary in json\n        \"\"\"\n        dict = {\"nmax\": self.nmax,\n                \"lmax\": self.lmax,\n                \"rcut\": self.rcut,\n                \"alpha\": self.alpha,\n                \"derivative\": self.derivative,\n                \"_type\": \"SO3\",\n               }\n        return dict\n\n    @property\n    def nmax(self):\n        return self._nmax\n\n    @nmax.setter\n    def nmax(self, nmax):\n        if isinstance(nmax, int) is True:\n            if nmax < 1:\n                raise ValueError('nmax must be greater than or equal to 1')\n            if nmax > 11:\n                raise ValueError('nmax > 11 yields complex eigenvalues')\n            self._nmax = nmax\n        else:\n            raise ValueError('nmax must be an integer')\n\n    @property\n    def lmax(self):\n        return self._lmax\n\n    @lmax.setter\n    def lmax(self, lmax):\n        if isinstance(lmax, int) is True:\n            if lmax < 0:\n                raise ValueError('lmax must be greater than or equal to zero')\n            elif lmax > 32:\n                raise NotImplementedError('support a maxmimum l=32 for spherical harmonics')\n            self._lmax = lmax\n        else:\n            raise ValueError('lmax must be an integer')\n\n    @property\n    def rcut(self):\n        return self._rcut\n\n    @rcut.setter\n    def rcut(self, rcut):\n        if isinstance(rcut, float) or isinstance(rcut, int):\n            if rcut <= 0:\n                raise ValueError('rcut must be greater than zero')\n            self._rcut = rcut\n        else:\n            raise ValueError('rcut must be a float')\n\n    @property\n    def alpha(self):\n        return self._alpha\n\n    @alpha.setter\n    def alpha(self, alpha):\n        if isinstance(alpha, float) or isinstance(alpha, int):\n            if alpha <= 0:\n                raise ValueError('alpha must be greater than zero')\n            self._alpha = alpha\n        else:\n            raise ValueError('alpha must be a float')\n\n    @property\n    def cutoff_function(self):\n        return self._cutoff_function\n\n    @cutoff_function.setter\n    def cutoff_function(self, cutoff_function):\n        self._cutoff_function = Cosine\n\n    def clear_memory(self):\n        '''\n        Clears all non essential attributes for the calculator\n        '''\n        attrs = list(vars(self).keys())\n        for attr in attrs:\n            if attr not in self.keys:\n                delattr(self, attr)\n        return\n\n    def init_atoms(self, atoms, atom_ids=None):\n        \"\"\"\n        initilize atoms related attributes\n        \"\"\"\n        self._atoms = atoms\n        self.natoms = len(atoms)\n        self.build_neighbor_list(atom_ids)\n\n    def compute_p(self, atoms, atom_ids=None, return_rdf=False, CN_max=12, weight=0.5):\n        \"\"\"\n        Compute the powerspectrum function\n\n        Args:\n            atoms: ase atoms object\n            atom_ids: optional list of atomic indices\n            return_rdf: bool, whether to return the radial distribution function\n            CN_max: int, maximum coordination number to consider\n            weight: float, weight for the RDF\n\n        Returns:\n            p array (N, M)\n        \"\"\"\n        if atom_ids is None: atom_ids = range(len(atoms))\n        self.init_atoms(atoms, atom_ids)\n        plist = np.zeros((len(atom_ids), self.ncoefs), dtype=np.float64)\n        dists = np.zeros((len(atom_ids), CN_max))\n\n        if len(self.neighborlist) > 0:\n            cs = compute_cs(self.neighborlist, *self.args)\n            cs *= self.atomic_weights[:, np.newaxis, np.newaxis, np.newaxis]\n            cs = np.einsum('inlm,l->inlm', cs, self.norm)\n\n            # Get r_ij and compute C*np.conj(C)\n            for _i, i in enumerate(atom_ids):\n                centers = self.neighbor_indices[:, 0] == i\n                CN = len(self.neighborlist[centers])\n                if CN > 0:\n                    ctot = cs[centers].sum(axis=0)\n                    P = np.einsum('ijk,ljk->ilj', ctot, np.conj(ctot)).real\n                    plist[_i] = P[self.tril_indices].flatten()\n\n                    if CN > CN_max: CN = CN_max\n                    dists[_i, :CN] += np.linalg.norm(self.neighborlist[centers], axis=1)[:CN]\n\n        if return_rdf:\n            rdf = self.dist2rdf(dists)\n            return np.concatenate((plist, weight * rdf), axis=1)\n        else:\n            return plist\n\n    def dist2rdf(self, dists, num_bins=20, sigma=0.5):\n        \"\"\"\n        Convert a 2D distance array to radial distribution function (RDF)\n\n        Args:\n            dists: ndarray of shape (N, m), where each row contains distances\n            rcut: float, cutoff radius\n            num_bins: int, number of histogram bins\n            sigma: float, Gaussian smoothing width (in bins)\n            smooth: bool, whether to apply Gaussian smoothing\n\n        Returns:\n            rdf: ndarray of shape (N, num_bins)\n        \"\"\"\n        from scipy.ndimage import gaussian_filter1d\n\n        N, m = dists.shape\n        dr = self.rcut / num_bins\n        rdf = np.zeros((N, num_bins))\n\n        # Filter valid distances\n        valid_mask = (dists > 0) & (dists < self.rcut)\n        valid_dists = dists * valid_mask  # Zero-out invalid distances\n        bin_indices = (valid_dists / dr).astype(int)\n\n        # Count distances in each bin for each row\n        for i in range(N):\n            valid_idx = valid_mask[i]\n            bincount = np.bincount(bin_indices[i][valid_idx], minlength=num_bins)\n            rdf[i, :len(bincount)] += bincount\n\n        rdf = gaussian_filter1d(rdf, sigma=sigma, axis=1, mode='nearest')\n        return rdf\n\n\n    def compute_dpdr(self, atoms, atom_ids=None):\n        \"\"\"\n        Compute the powerspectrum function\n\n        Args:\n            atoms: ase atoms object\n            atom_ids: optional list of atomic indices\n\n        Returns:\n            dpdr array (N, N, M, 3) and p array (N, M)\n        \"\"\"\n\n        if atom_ids is None: atom_ids = range(len(atoms))\n        self.init_atoms(atoms, atom_ids)\n        p_list = np.zeros((len(atom_ids), self.ncoefs), dtype=np.float64)\n        dp_list = np.zeros((len(atom_ids), self.natoms, self.ncoefs, 3), dtype=np.float64)\n\n        if len(self.neighborlist) > 0:\n            # get expansion coefficients and derivatives\n            cs, dcs = compute_dcs(self.neighborlist, *self.args)\n\n            # weight cs and dcs\n            cs *= self.atomic_weights[:, np.newaxis, np.newaxis, np.newaxis]\n            dcs *= self.atomic_weights[:, np.newaxis, np.newaxis, np.newaxis, np.newaxis]\n            cs = np.einsum('inlm,l->inlm', cs, self.norm)\n            dcs = np.einsum('inlmj,l->inlmj', dcs, self.norm)\n            #print('cs, dcs', self.neighbor_indices, cs.shape, dcs.shape)\n\n            # cs: (N_ij, n, l, m)     => P (N_i, N_des)\n            # dcs: (N_ij, n, l, m, 3) => dP (N_i, N_j, N_des, 3)\n            # (n, l, m) needs to be merged to 1 dimension\n\n            for _i, i in enumerate(atom_ids):\n                # find atoms for which i is the center\n                centers = self.neighbor_indices[:, 0] == i\n\n                if len(self.neighbor_indices[centers]) > 0:\n                    # total up the c array for the center atom\n                    ctot = cs[centers].sum(axis=0) #(n, l, m)\n\n                    # power spectrum P = c*c_conj\n                    # eq_3 (n, n', l) eliminate m\n                    P = np.einsum('ijk, ljk->ilj', ctot, np.conj(ctot)).real\n                    p_list[_i] += P[self.tril_indices].flatten()\n\n                    # gradient of P for each neighbor, eq_26\n                    # (N_ijs, n, n', l, 3)\n                    # dc * c_conj + c * dc_conj\n                    dP = np.einsum('wijkn,ljk->wiljn', dcs[centers], np.conj(ctot))\n                    dP += np.conj(np.transpose(dP, axes=[0, 2, 1, 3, 4]))\n                    dP = dP.real\n\n                    #print(\"shape of P/dP\", P.shape, dP.shape)#; import sys; sys.exit()\n\n                    # QZ: to check\n                    ijs = self.neighbor_indices[centers]\n                    for _id, j in enumerate(ijs[:, 1]):\n                        tmp = dP[_id][self.tril_indices].flatten().reshape(self.ncoefs, 3)\n                        dp_list[_i, j, :, :] += tmp\n                        dp_list[_i, i, :, :] -= tmp\n\n        return dp_list, p_list\n\n    def compute_dpdr_5d(self, atoms, atom_ids=None):\n        \"\"\"\n        Compute the powerspectrum function with respect to supercell\n\n        Args:\n            atoms: ase atoms object\n\n        Returns:\n            dpdr array (N, N, M, 3, 27) and p array (N, M)\n        \"\"\"\n        if atom_ids is None: atom_ids = range(len(atoms))\n        self.init_atoms(atoms, atom_ids)\n        p_list = np.zeros((len(atom_ids), self.ncoefs), dtype=np.float64)\n        dp_list = np.zeros((len(atom_ids), self.natoms, self.ncoefs, 3, 27), dtype=np.float64)\n\n        if len(self.neighborlist) > 0:\n            # get expansion coefficients and derivatives\n            cs, dcs = compute_dcs(self.neighborlist, *self.args)\n\n            # weight cs and dcs\n            cs *= self.atomic_weights[:, np.newaxis, np.newaxis, np.newaxis]\n            dcs *= self.atomic_weights[:, np.newaxis, np.newaxis, np.newaxis, np.newaxis]\n            cs = np.einsum('inlm,l->inlm', cs, self.norm)\n            dcs = np.einsum('inlmj,l->inlmj', dcs, self.norm)\n            #print('cs, dcs', self.neighbor_indices, cs.shape, dcs.shape)\n\n            # cs: (N_ij, n, l, m)     => P (N_i, N_des)\n            # dcs: (N_ij, n, l, m, 3) => dP (N_i, N_j, N_des, 3)\n            # (n, l, m) needs to be merged to 1 dimension\n            neigh_ids = np.arange(len(self.neighbor_indices))\n            for _i, i in enumerate(atom_ids):\n                # find atoms for which i is the center\n                pair_ids = neigh_ids[self.neighbor_indices[:, 0] == i]\n                if len(pair_ids) > 0:\n                    ctot = cs[pair_ids].sum(axis=0) #(n, l, m)\n                    dctot = dcs[pair_ids].sum(axis=0)\n                    # power spectrum P = c * c_conj\n                    P = np.einsum('ijk, ljk->ilj', ctot, np.conj(ctot)).real\n                    p_list[_i] += P[self.tril_indices].flatten()\n\n                    # loop over each pair\n                    for pair_id in pair_ids:\n                        (_, j, cell_id) = self.neighbor_indices[pair_id]\n                        # map from (x, y, z) to (0, 27)\n\n                        # (N_ijs, n, n', l, 3)\n                        # dp = dc * c_conj + c * dc_conj\n                        dP = np.einsum('ijkn, ljk->iljn', dcs[pair_id], np.conj(ctot))\n                        dP += np.einsum('ijkn, ljk->iljn', np.conj(dcs[pair_id]), ctot)\n\n                        dP = dP.real[self.tril_indices].flatten().reshape(self.ncoefs, 3)\n                        #print(cs[pair_id].shape, dcs[pair_id].shape, dP.shape)\n\n                        dp_list[_i, j, :, :, cell_id] += dP\n                        dp_list[_i, i, :, :, 13] -= dP\n\n        return dp_list, p_list\n\n\n    def calculate(self, atoms, atom_ids=None, derivative=False):\n        '''\n        API for Calculating the SO(3) power spectrum components of the\n        smoothened atomic neighbor density function\n\n        Args:\n            atoms: an ASE atoms object corresponding to the desired\n                   atomic arrangement\n            derivative: bool, whether to calculate the gradient of not\n        '''\n        p_list = None\n        dp_list = None\n        if derivative:\n            dp_list, p_list = self.compute_dpdr(atoms, atom_ids)\n        else:\n            p_list = self.compute_p(atoms, atom_ids)\n\n        x = {'x': p_list,\n             'dxdr': dp_list,\n             'elements': list(atoms.symbols)}\n        self.clear_memory()\n        return x\n\n\n    def build_neighbor_list(self, atom_ids=None):\n        '''\n        Builds a neighborlist for the calculation of bispectrum components for\n        a given ASE atoms object given in the calculate method.\n        '''\n        atoms = self._atoms\n        cell_matrix = atoms.get_cell()\n        VECTORS = np.array([[x1, y1, z1] for x1 in range(-1, 2) for y1 in range(-1, 2) for z1 in range(-1, 2)])\n        neighbors = []\n        neighbor_indices = []\n        atomic_weights = []\n\n        #if True: #atom_ids is None:\n        if atom_ids is None:\n            atom_ids = range(len(atoms))\n\n            cutoffs = [self.rcut/2]*len(atoms)\n            nl = NeighborList(cutoffs, self_interaction=False, bothways=True, skin=0.0)\n            nl.update(atoms)\n\n            for i in atom_ids:\n                # get center atom position vector\n                center_atom = atoms.positions[i]\n                # get indices and cell offsets for each neighbor\n                indices, offsets = nl.get_neighbors(i)\n                #print(indices); import sys; sys.exit()\n\n                for j, offset in zip(indices, offsets):\n                    (x, y, z) = offset\n                    cell_id = (x+1) * 9 + (y+1) * 3 + z + 1\n                    pos = atoms.positions[j] + offset@cell_matrix - center_atom\n                    if np.sum(np.abs(pos)) < 1e-3:\n                        # to skip self\n                        if cell_id == 13:\n                            continue\n                        # to prevent division by zero\n                        else:\n                            pos += 1e-3\n                    neighbors.append(pos)\n                    if self.weight_on and atoms[j].number != atoms[i].number:\n                        factor = -1\n                    else:\n                        factor = 1\n                    atomic_weights.append(factor*atoms[j].number)\n                    neighbor_indices.append([i, j, cell_id])\n        else:\n            # A short cut version if we only compute the neighbors for a few atoms\n            ref_pos = np.repeat(atoms.positions[:, :, np.newaxis], 27, axis=2)\n            cell_shifts = np.dot(VECTORS, cell_matrix)\n            ref_pos += cell_shifts.T[np.newaxis, :, :]\n            ref_ids = np.arange(len(atoms))\n            for i in atom_ids:\n                center_atom = atoms.positions[i]\n\n                # Compute distances relative to the center_atom across all cells\n                dists = np.linalg.norm(ref_pos - center_atom[:, np.newaxis], axis=1)\n\n                # Create mask for distances that are within the cutoff and greater than 1e-2\n                mask = (dists > 1e-2) & (dists < self.rcut)\n\n                # Use the mask to find neighbors in all cells at once\n                valid_atoms, valid_cells = np.where(mask)\n                # Append the neighbors and weights\n                for j, cell_id in zip(valid_atoms, valid_cells):\n                    neighbors.append(ref_pos[j, :, cell_id] - center_atom)\n                    factor = -1 if self.weight_on and atoms[j].number != atoms[i].number else 1\n                    atomic_weights.append(factor * atoms[j].number)\n                    neighbor_indices.append([i, j, cell_id])\n                #for cell_id in range(27):\n                #    dists = np.linalg.norm(ref_pos[:, :, cell_id] - center_atom, axis=1)\n                #    mask = (dists > 1e-2) & (dists < self.rcut)\n                #    for j in ref_ids[mask]:\n                #        neighbors.append(ref_pos[j, :, cell_id] - center_atom)\n                #        factor = -1 if self.weight_on and atoms[j].number != atoms[i].number else 1\n                #        atomic_weights.append(factor*atoms[j].number)\n                #        neighbor_indices.append([i, j, cell_id])\n\n        self.neighborlist = np.array(neighbors, dtype=np.float64)\n        self.atomic_weights = np.array(atomic_weights, dtype=np.int64)\n        self.neighbor_indices = np.array(neighbor_indices, dtype=np.int64)\n\ndef Cosine(Rij, Rc, derivative=False):\n    # Rij is the norm\n    if not derivative:\n        result = 0.5 * (np.cos(np.pi * Rij / Rc) + 1.)\n    else:\n        result = -0.5 * np.pi / Rc * np.sin(np.pi * Rij / Rc)\n    return result\n\ndef W(nmax):\n    arr = np.zeros((nmax,nmax), np.float64)\n    for alpha in range(1, nmax+1, 1):\n        temp1 = (2*alpha+5)*(2*alpha+6)*(2*alpha+7)\n        for beta in range(1, alpha+1, 1):\n            temp2 = (2*beta+5)*(2*beta+6)*(2*beta+7)\n            arr[alpha-1, beta-1] = np.sqrt(temp1*temp2)/(5+alpha+beta)/(6+alpha+beta)/(7+alpha+beta)\n            arr[beta-1, alpha-1] = arr[alpha-1, beta-1]\n\n    sinv = np.linalg.inv(arr)\n    eigvals, V = np.linalg.eig(sinv)\n    sqrtD = np.diag(np.sqrt(eigvals))\n    arr[:,:] = np.dot(np.dot(V, sqrtD), np.linalg.inv(V))\n    return arr\n\ndef phi(r, alpha, rcut):\n    '''\n    See g below\n    '''\n    return (rcut-r)**(alpha+2)/np.sqrt(2*rcut**(2*alpha+7)/(2*alpha+5)/(2*alpha+6)/(2*alpha+7))\n\ndef g(r, n, nmax, rcut, w):\n\n    Sum = 0.0\n    for alpha in range(1, nmax+1):\n        Sum += w[n-1, alpha-1]*phi(r, alpha, rcut)\n\n    return Sum\n\ndef GaussChebyshevQuadrature(nmax, lmax):\n    NQuad = (nmax+lmax+1) * 10 #\n    quad_array = np.zeros(NQuad, dtype=np.float64)\n    for i in range(1, NQuad+1):\n        # roots of Chebyshev polynomial of degree N\n        x = np.cos((2*i-1)*np.pi/2/NQuad)\n        quad_array[i-1] = x\n    return quad_array, np.pi/NQuad\n\ndef compute_cs(pos, nmax, lmax, rcut, alpha, cutoff):\n    \"\"\"\n    Compute expansion coefficients for a system based on the input positions.\n\n    This function calculates the expansion coefficients for a set of atomic positions using\n    Gauss-Chebyshev quadrature, spherical Bessel functions, and spherical harmonics. It is\n    typically used in models that require high-dimensional projections of atomic environments.\n\n    Args:\n        pos (numpy.ndarray): An array of atomic positions (N x 3) where N is the number of atoms.\n        nmax (int): Maximum radial quantum number used in the expansion.\n        lmax (int): Maximum angular momentum quantum number used in the expansion.\n        rcut (float): Cutoff radius for interactions and the radial expansion.\n        alpha (float): Gaussian decay factor applied to the radial functions.\n        cutoff (callable): A function to compute cutoff values for the radial distances.\n\n    Returns:\n        numpy.ndarray: A 4D array of expansion coefficients with shape (N_neighbors, nmax, lmax+1, 2*lmax+1),\n        where `N_neighbors` is the number of neighbor atoms, `nmax` is the number of radial terms, and\n        `lmax` and `m` correspond to angular momentum quantum numbers.\n    \"\"\"\n\n    # 1. Init Overlap matrix, distances and quadrature points\n    w = W(nmax)\n    Ris = np.linalg.norm(pos, axis=1)  # (N_neighbors)\n    GCQuadrature, weight = GaussChebyshevQuadrature(nmax, lmax)  # (Nquad)\n    weight *= rcut / 2\n    Quadrature = rcut / 2 * (GCQuadrature + 1)\n\n    # 2. Rdial G functions\n    Gs = np.zeros((nmax, len(Quadrature)), dtype=np.float64)  # (nmax, Nquad)\n    for n in range(1, nmax + 1):\n        Gs[n - 1, :] = g(Quadrature, n, nmax, rcut, w)\n\n    Quad_Squared = Quadrature ** 2\n    Gs *= Quad_Squared * np.exp(-alpha * Quad_Squared) * np.sqrt(1 - GCQuadrature**2) * weight\n\n    # 3. Bessel functions\n    BesselArgs = 2 * alpha * np.outer(Ris, Quadrature)  # (N_neighbors x Nquad)\n    Bessels = np.zeros((len(Ris), len(Quadrature), lmax + 1), dtype=np.float64)  # (N_neighbors x Nquad x lmax+1)\n    for l in range(lmax + 1):\n        Bessels[:, :, l] = spherical_in(l, BesselArgs)\n\n    # 4. Integration over radial coordinates using Einstein summation\n    integral_array = np.einsum('ij,kjl->kil', Gs, Bessels)  # (N_neighbors x nmax x lmax+1)\n\n    # 5. Gaussian factors for each atom and apply the cutoff function\n    exparray = 4 * np.pi * np.exp(-alpha * Ris**2)  # (N_neighbors)\n    cutoff_array = cutoff(Ris, rcut)\n    np.multiply(exparray, cutoff_array, out=exparray)\n\n    # 6. Compute the spherical harmonics for each atom\n    # From Cartesian coordinates to spherical coordinates\n    thetas = pos[:, 2] / Ris[:]\n    thetas = np.arccos(thetas)\n    phis = np.arctan2(pos[:, 1], pos[:, 0])\n    msize = 2 * lmax + 1\n    ylms = np.zeros((len(Ris), lmax + 1, msize), dtype=np.complex128)\n\n    #for l in range(lmax + 1):\n    #    for m in range(-l, l + 1):\n    #        midx = msize // 2 + m\n    #        ylms[:, l, midx] = sph_harm(m, l, phis, thetas)\n    l_vals = np.repeat(np.arange(lmax + 1), [2 * l + 1 for l in range(lmax + 1)])\n    m_vals = np.concatenate([np.arange(-l, l + 1) for l in range(lmax + 1)])\n    midx_vals = msize // 2 + m_vals\n    ylms[:, l_vals, midx_vals] = sph_harm(m_vals, l_vals, phis[:, np.newaxis], thetas[:, np.newaxis])\n\n\n    # 7. Multiply Ylm and Gaussian factors\n    Y_mul_innerprod = np.einsum('ijk,ilj->iljk', ylms, integral_array)\n    C = np.einsum('i,ijkl->ijkl', exparray, Y_mul_innerprod)\n\n    return C\n\ndef compute_dcs(pos, nmax, lmax, rcut, alpha, cutoff):\n    \"\"\"\n    Compute exapnsion coefficients\n\n    Args:\n        pos:\n        nmax (int):\n        lmax (int):\n        rcut (float):\n        alpha (float):\n        cutoff (callable):\n\n    Returns:\n        c(N_ij, nmax, lmax+1, 2lmax+1)\n        dc(N_ij, nmax, lmax+1, 2lmax+1, 3) for each x,y,z\n    \"\"\"\n    # compute the overlap matrix\n    w = W(nmax)\n\n    # get the norm of the position vectors\n    Ris = np.linalg.norm(pos, axis=1) # (Nneighbors)\n\n    # get unit vectors\n    upos = pos/Ris[:,np.newaxis]\n\n    # initialize Gauss Chebyshev Quadrature\n    GCQuadrature, weight = GaussChebyshevQuadrature(nmax,lmax) #(Nquad)\n    weight *= rcut/2\n    # transform from (-1,1) to (0, rcut)\n    Quadrature = rcut/2*(GCQuadrature+1)\n\n    # compute the arguments for the bessel functions\n    BesselArgs = 2*alpha*np.outer(Ris,Quadrature)#(Nneighbors x Nquad)\n\n    # initalize the arrays for the bessel function values\n    # and the G function values\n    Bessels = np.zeros((len(Ris), len(Quadrature), lmax+1), dtype=np.float64) #(Nneighbors x Nquad x lmax+1)\n    Gs = np.zeros((nmax, len(Quadrature)), dtype=np.float64) # (nmax, nquad)\n    dBessels = np.zeros((len(Ris), len(Quadrature), lmax+1), dtype=np.float64) #(Nneighbors x Nquad x lmax+1)\n\n    # compute the g values\n    for n in range(1,nmax+1,1):\n        Gs[n-1,:] = g(Quadrature, n, nmax, rcut,w)*weight\n\n    # compute the bessel values\n    for l in range(lmax+1):\n        Bessels[:,:,l] = spherical_in(l, BesselArgs)\n        dBessels[:,:,l] = spherical_in(l, BesselArgs, derivative=True)\n\n    #(Nneighbors x Nquad x lmax+1) unit vector here\n    gradBessels = np.einsum('ijk,in->ijkn',dBessels,upos)\n    gradBessels *= 2*alpha\n\n    # multiply with r for the integral\n    gradBessels = np.einsum('ijkn,j->ijkn',gradBessels,Quadrature)\n\n    # mutliply the terms in the integral separate from the Bessels\n    Quad_Squared = Quadrature**2\n    Gs *= Quad_Squared * np.exp(-alpha*Quad_Squared) * np.sqrt(1-GCQuadrature**2)\n\n    # perform the integration with the Bessels\n    integral_array = np.einsum('ij,kjl->kil', Gs, Bessels) # (Nneighbors x nmax x lmax+1)\n\n    grad_integral_array = np.einsum('ij,kjlm->kilm', Gs, gradBessels)# (Nneighbors x nmax x lmax+1, 3)\n\n    # compute the gaussian for each atom\n    exparray = 4*np.pi*np.exp(-alpha*Ris**2) # (Nneighbors)\n\n    gradexparray = (-2*alpha*Ris*exparray)[:,np.newaxis]*upos\n\n    cutoff_array = cutoff(Ris, rcut)\n\n    grad_cutoff_array = np.einsum('i,in->in',cutoff(Ris, rcut, True), upos)\n\n    # get the spherical coordinates of each atom\n    thetas = np.arccos(pos[:,2]/Ris[:])\n    phis = np.arctan2(pos[:,1], pos[:,0])\n\n    # the size changes temporarily for the derivative\n    # determine the size of the m axis\n    Msize = 2*(lmax+1)+1\n    msize = 2*lmax + 1\n    # initialize an array for the spherical harmonics and gradients\n    #(Nneighbors, l, m, *3*)\n    ylms = np.zeros((len(Ris), lmax+1+1, Msize), dtype=np.complex128)\n    gradylms = np.zeros((len(Ris), lmax+1, msize, 3), dtype=np.complex128)\n    # compute the spherical harmonics\n    for l in range(lmax+1+1):\n        for m in range(-l,l+1,1):\n            midx = Msize//2 + m\n            ylms[:,l,midx] = sph_harm(m, l, phis, thetas)\n\n\n    for l in range(1, lmax+1):\n        for m in range(-l, l+1, 1):\n            midx = msize//2 + m\n            Midx = Msize//2 + m\n            # get gradient with recpect to spherical covariant components\n            xcov0 = -np.sqrt(((l+1)**2-m**2)/(2*l+1)/(2*l+3))*l*ylms[:,l+1,Midx]/Ris\n\n            if abs(m) <= l-1:\n                xcov0 += np.sqrt((l**2-m**2)/(2*l-1)/(2*l+1))*(l+1)*ylms[:,l-1,Midx]/Ris\n\n\n            xcovpl1 = -np.sqrt((l+m+1)*(l+m+2)/2/(2*l+1)/(2*l+3))*l*ylms[:,l+1,Midx+1]/Ris\n\n            if abs(m+1) <= l-1:\n                xcovpl1 -= np.sqrt((l-m-1)*(l-m)/2/(2*l-1)/(2*l+1))*(l+1)*ylms[:,l-1,Midx+1]/Ris\n\n\n            xcovm1 = -np.sqrt((l-m+1)*(l-m+2)/2/(2*l+1)/(2*l+3))*l*ylms[:,l+1,Midx-1]/Ris\n\n            if abs(m-1) <= l-1:\n                xcovm1 -= np.sqrt((l+m-1)*(l+m)/2/(2*l-1)/(2*l+1))*(l+1)*ylms[:,l-1,Midx-1]/Ris\n\n            #transform the gradient to cartesian\n            gradylms[:,l,midx,0] = 1/np.sqrt(2)*(xcovm1-xcovpl1)\n            gradylms[:,l,midx,1] = 1j/np.sqrt(2)*(xcovm1+xcovpl1)\n            gradylms[:,l,midx,2] = xcov0\n\n    # index ylms to get rid of extra terms for derivative\n    ylms = ylms[:, 0:lmax+1, 1:1+2*lmax+1]\n    # multiply the spherical harmonics and the radial inner product\n    Y_mul_innerprod = np.einsum('ijk,ilj->iljk', ylms, integral_array)\n    # multiply the gradient of the spherical harmonics with the radial inner get_radial_inner_product\n    dY_mul_innerprod = np.einsum('ijkn,ilj->iljkn', gradylms, integral_array)\n    # multiply the spherical harmonics with the gradient of the radial inner get_radial_inner_product\n    Y_mul_dinnerprod = np.einsum('ijk,iljn->iljkn', ylms, grad_integral_array)\n    # multiply the gaussians into the expression with 4pi\n    C = np.einsum('i,ijkl->ijkl', exparray, Y_mul_innerprod)\n    # multiply the gradient of the gaussian with the other terms\n    gradexp_mul_y_inner = np.einsum('in,ijkl->ijkln', gradexparray, Y_mul_innerprod)\n    # add gradient of inner product and spherical harmonic terms\n    gradHarmonics_mul_gaussian = np.einsum('ijkln,i->ijkln', dY_mul_innerprod+Y_mul_dinnerprod, exparray)\n    dC = gradexp_mul_y_inner + gradHarmonics_mul_gaussian\n    dC *= cutoff_array[:, np.newaxis, np.newaxis, np.newaxis, np.newaxis]\n    dC += np.einsum('in,ijkl->ijkln', grad_cutoff_array, C)\n    C *= cutoff_array[:, np.newaxis, np.newaxis, np.newaxis]\n    return C, dC\n\nif  __name__ == \"__main__\":\n    from optparse import OptionParser\n    from ase.io import read\n    import time\n    # ---------------------- Options ------------------------\n    parser = OptionParser()\n    parser.add_option(\"-c\", \"--crystal\", dest=\"structure\",\n                      help=\"crystal from file, cif or poscar, REQUIRED\",\n                      metavar=\"crystal\")\n\n    parser.add_option(\"-r\", \"--rcut\", dest=\"rcut\", default=3.0, type=float,\n                      help=\"cutoff for neighbor calcs, default: 3.0\"\n                      )\n\n    parser.add_option(\"-l\", \"--lmax\", dest=\"lmax\", default=2, type=int,\n                      help=\"lmax, default: 2\"\n                      )\n\n    parser.add_option(\"-n\", \"--nmax\", dest=\"nmax\", default=2, type=int,\n                      help=\"nmax, default: 2\"\n                      )\n\n    parser.add_option(\"-a\", \"--alpha\", dest=\"alpha\", default=2.0, type=float,\n                      help=\"cutoff for neighbor calcs, default: 2.0\"\n                      )\n\n    parser.add_option(\"-f\", dest=\"der\", default=True,\n                      action='store_false',help='derivative flag')\n\n    (options, args) = parser.parse_args()\n\n    if options.structure is None:\n        from ase.build import bulk\n        test = bulk('Si', 'diamond', a=5.459, cubic=True)\n    else:\n        test = read(options.structure, format='vasp')\n\n    cell = test.get_cell()\n    cell[0,1] += 0.5\n    test.set_cell(cell)\n\n    lmax = options.lmax\n    nmax = options.nmax\n    rcut = options.rcut\n    alpha = options.alpha\n    der = options.der\n\n    start1 = time.time()\n    f = SO3(nmax=nmax, lmax=lmax, rcut=rcut, alpha=alpha)\n    start2 = time.time()\n    print(f)\n    p = f.compute_p(test, atom_ids=[0]); print('from P', p)\n    x = f.calculate(test, derivative=der)\n    print('x', x['x'])\n    dp, p = f.compute_dpdr(test); print('from dP', p)\n    dp, p = f.compute_dpdr_5d(test); print('from dP5d', p)\n\n    (x, spg, wps) = ([13.45493847, 0.98, 0.04, 0.86, 0.08, 0.94, 0.14, 0.22, 0.66, 0.22, 0.74, 0.28, 0.2, 0.18, 0.68], 226, ['192j', '192j', '192j', '96i', '192j'])\n\n    from pyxtal import pyxtal\n    xtal = pyxtal()\n    xtal.from_spg_wps_rep(spg, wps, x, ['C']*len(wps))\n    atoms = xtal.to_ase()\n    p1 = f.compute_p(atoms)[0]; print(\"from ase\", p1)\n    p2 = f.compute_p(atoms, atom_ids=[0])[0]; print(\"from self\", p2)\n    print(np.sum((p1-p2)**2))\n    assert(np.sum((p1-p2)**2)<1e-4)\n\n"
  },
  {
    "path": "pyxtal/lego/__init__.py",
    "content": ""
  },
  {
    "path": "pyxtal/lego/basinhopping.py",
    "content": "\"\"\"\nbasinhopping: The basinhopping global optimization algorithm\n\"\"\"\nimport numpy as np\nimport math\nimport inspect\nimport scipy.optimize\nfrom scipy._lib._util import check_random_state\nfrom copy import deepcopy\n\n__all__ = ['basinhopping']\n\n\n_params = (inspect.Parameter('res_new', kind=inspect.Parameter.KEYWORD_ONLY),\n           inspect.Parameter('res_old', kind=inspect.Parameter.KEYWORD_ONLY))\n_new_accept_test_signature = inspect.Signature(parameters=_params)\n\n\nclass Storage:\n    \"\"\"\n    Class used to store the lowest energy structure\n    \"\"\"\n    def __init__(self, minres):\n        self._add(minres)\n\n    def _add(self, minres):\n        self.minres = minres\n        self.minres.x = np.copy(minres.x)\n\n    def update(self, minres):\n        #if minres.success and (minres.fun < self.minres.fun\n        #                       or not self.minres.success):\n        if minres.fun < self.minres.fun:\n            self._add(minres)\n            return True\n        else:\n            return False\n\n    def get_lowest(self):\n        return self.minres\n\n\nclass BasinHoppingRunner:\n    \"\"\"This class implements the core of the basinhopping algorithm.\n\n    x0 : ndarray\n        The starting coordinates.\n    minimizer : callable\n        The local minimizer, with signature ``result = minimizer(x)``.\n        The return value is an `optimize.OptimizeResult` object.\n    step_taking : callable\n        This function displaces the coordinates randomly. Signature should\n        be ``x_new = step_taking(x)``. Note that `x` may be modified in-place.\n    accept_tests : list of callables\n        Each test is passed the kwargs `f_new`, `x_new`, `f_old` and\n        `x_old`. These tests will be used to judge whether or not to accept\n        the step. The acceptable return values are True, False, or ``\"force\n        accept\"``. If any of the tests return False then the step is rejected.\n        If ``\"force accept\"``, then this will override any other tests in\n        order to accept the step. This can be used, for example, to forcefully\n        escape from a local minimum that ``basinhopping`` is trapped in.\n    disp : bool, optional\n        Display status messages.\n\n    \"\"\"\n    def __init__(self, x0, minimizer, step_taking, accept_tests, disp=False):\n        self.x = np.copy(x0)\n        self.minimizer = minimizer\n        self.step_taking = step_taking\n        self.accept_tests = accept_tests\n        self.disp = disp\n        self.xtrials = []\n        self.energy_trials = []\n        self.nstep = 0\n\n        # initialize return object\n        self.res = scipy.optimize.OptimizeResult()\n        self.res.minimization_failures = 0\n\n        # do initial minimization\n        minres = minimizer(self.x)\n        if not minres.success:\n            self.res.minimization_failures += 1\n            if self.disp:\n                print(\"warning: basinhopping: local minimization failure\")\n        self.x = np.copy(minres.x)\n        self.energy = minres.fun\n        self.incumbent_minres = minres  # best minimize result found so far\n        if self.disp:\n            print(\"basinhopping step %d: f %g\" % (self.nstep, self.energy))\n\n        self.xtrials.append(self.x)\n        self.energy_trials.append(self.energy)\n\n        # initialize storage class\n        self.storage = Storage(minres)\n\n        if hasattr(minres, \"nfev\"):\n            self.res.nfev = minres.nfev\n        if hasattr(minres, \"njev\"):\n            self.res.njev = minres.njev\n        if hasattr(minres, \"nhev\"):\n            self.res.nhev = minres.nhev\n\n    def _monte_carlo_step(self):\n        \"\"\"Do one Monte Carlo iteration\n\n        Randomly displace the coordinates, minimize, and decide whether\n        or not to accept the new coordinates.\n        \"\"\"\n        # Take a random step.  Make a copy of x because the step_taking\n        # algorithm might change x in place\n        x_after_step = np.copy(self.x)\n        x_after_step = self.step_taking(x_after_step)\n\n        # do a local minimization\n        minres = self.minimizer(x_after_step)\n        #print('====================================', minres.fun)\n        x_after_quench = minres.x\n        energy_after_quench = minres.fun\n        if not minres.success:\n            self.res.minimization_failures += 1\n            if self.disp:\n                print(\"warning: basinhopping: local minimization failure\")\n        if hasattr(minres, \"nfev\"):\n            self.res.nfev += minres.nfev\n        if hasattr(minres, \"njev\"):\n            self.res.njev += minres.njev\n        if hasattr(minres, \"nhev\"):\n            self.res.nhev += minres.nhev\n\n        # accept the move based on self.accept_tests. If any test is False,\n        # then reject the step.  If any test returns the special string\n        # 'force accept', then accept the step regardless. This can be used\n        # to forcefully escape from a local minimum if normal basin hopping\n        # steps are not sufficient.\n        accept = True\n        for test in self.accept_tests:\n            if inspect.signature(test) == _new_accept_test_signature:\n                testres = test(res_new=minres, res_old=self.incumbent_minres)\n            else:\n                testres = test(f_new=energy_after_quench, x_new=x_after_quench,\n                               f_old=self.energy, x_old=self.x)\n\n            if testres == 'force accept':\n                accept = True\n                break\n            elif testres is None:\n                raise ValueError(\"accept_tests must return True, False, or \"\n                                 \"'force accept'\")\n            elif not testres:\n                accept = False\n\n\n        # Report the result of the acceptance test to the take step class.\n        # This is for adaptive step taking\n        if hasattr(self.step_taking, \"report\"):\n            self.step_taking.report(accept, f_new=energy_after_quench,\n                                    x_new=x_after_quench, f_old=self.energy,\n                                    x_old=self.x)\n\n        if minres.fun < self.incumbent_minres.fun and not accept: import sys; sys.exit()\n        return accept, minres\n\n    def one_cycle(self):\n        \"\"\"Do one cycle of the basinhopping algorithm\n        \"\"\"\n        self.nstep += 1\n        new_global_min = False\n\n        accept, minres = self._monte_carlo_step()\n\n        if accept:\n            self.energy = minres.fun\n            self.x = np.copy(minres.x)\n            self.incumbent_minres = minres  # best minimize result found so far\n            new_global_min = self.storage.update(minres)\n            #print('========================================================update', minres.fun, self.storage.minres.fun)\n\n        # print some information\n        if self.disp:\n            self.print_report(minres.fun, accept)\n            if new_global_min:\n                print(\"found new global minimum on step %d with function\"\n                      \" value %g\" % (self.nstep, self.energy))\n\n        # save some variables as BasinHoppingRunner attributes\n        self.xtrial = minres.x\n        self.energy_trial = minres.fun\n        self.accept = accept\n        self.xtrials.append(minres.x)\n        self.energy_trials.append(minres.fun)\n\n        return new_global_min\n\n    def print_report(self, energy_trial, accept):\n        \"\"\"print a status update\"\"\"\n        minres = self.storage.get_lowest()\n        print(\"basinhopping step %d: f %g trial_f %g accepted %d \"\n              \" lowest_f %g\" % (self.nstep, self.energy, energy_trial,\n                                accept, minres.fun))\n\n\nclass AdaptiveStepsize:\n    \"\"\"\n    Class to implement adaptive stepsize.\n\n    This class wraps the step taking class and modifies the stepsize to\n    ensure the true acceptance rate is as close as possible to the target.\n\n    Parameters\n    ----------\n    takestep : callable\n        The step taking routine.  Must contain modifiable attribute\n        takestep.stepsize\n    accept_rate : float, optional\n        The target step acceptance rate\n    interval : int, optional\n        Interval for how often to update the stepsize\n    factor : float, optional\n        The step size is multiplied or divided by this factor upon each\n        update.\n    verbose : bool, optional\n        Print information about each update\n\n    \"\"\"\n    def __init__(self, takestep, accept_rate=0.5, interval=50, factor=0.9,\n                 verbose=True):\n        self.takestep = takestep\n        self.target_accept_rate = accept_rate\n        self.interval = interval\n        self.factor = factor\n        self.verbose = verbose\n\n        self.nstep = 0\n        self.nstep_tot = 0\n        self.naccept = 0\n\n    def __call__(self, x):\n        return self.take_step(x)\n\n    def _adjust_step_size(self):\n        old_stepsize = self.takestep.stepsize\n        accept_rate = float(self.naccept) / self.nstep\n        if accept_rate > self.target_accept_rate:\n            # We're accepting too many steps. This generally means we're\n            # trapped in a basin. Take bigger steps.\n            self.takestep.stepsize /= self.factor\n        else:\n            # We're not accepting enough steps. Take smaller steps.\n            self.takestep.stepsize *= self.factor\n        if self.verbose:\n            print(\"adaptive stepsize: acceptance rate {:f} target {:f} new \"\n                  \"stepsize {:g} old stepsize {:g}\".format(accept_rate,\n                  self.target_accept_rate, self.takestep.stepsize,\n                  old_stepsize))\n\n    def take_step(self, x):\n        self.nstep += 1\n        self.nstep_tot += 1\n        if self.nstep % self.interval == 0:\n            self._adjust_step_size()\n        return self.takestep(x)\n\n    def report(self, accept, **kwargs):\n        \"called by basinhopping to report the result of the step\"\n        if accept:\n            self.naccept += 1\n\n\nclass RandomDisplacement:\n    \"\"\"Add a random displacement of maximum size `stepsize` to each coordinate.\n\n    Calling this updates `x` in-place.\n\n    Parameters\n    ----------\n    stepsize : float, optional\n        Maximum stepsize in any dimension\n    random_gen : {None, int, `numpy.random.Generator`,\n                  `numpy.random.RandomState`}, optional\n\n        If `seed` is None (or `np.random`), the `numpy.random.RandomState`\n        singleton is used.\n        If `seed` is an int, a new ``RandomState`` instance is used,\n        seeded with `seed`.\n        If `seed` is already a ``Generator`` or ``RandomState`` instance then\n        that instance is used.\n\n    \"\"\"\n\n    def __init__(self, stepsize=0.5, random_gen=None):\n        self.stepsize = stepsize\n        self.random_gen = check_random_state(random_gen)\n\n    def __call__(self, x):\n        x += self.random_gen.uniform(-self.stepsize, self.stepsize,\n                                     np.shape(x))\n        return x\n\nclass MinimizerWrapper:\n    \"\"\"\n    wrap a minimizer function as a minimizer class\n    \"\"\"\n\n    def __init__(self, minimizer, func=None, **kwargs):\n        self.minimizer = minimizer\n        self.func = func\n        self.kwargs = kwargs\n\n    def __call__(self, x0):\n        if self.func is None:\n            return self.minimizer(x0, **self.kwargs)\n        else:\n            if 'method' in self.kwargs and type(self.kwargs['method']) is list:\n                x = x0\n                for i, method in enumerate(self.kwargs['method']):\n                    kwargs = deepcopy(self.kwargs)\n                    kwargs['method'] = method\n                    if method == 'Nelder-Mead':\n                        kwargs['options'].pop('ftol')\n                    else:\n                        kwargs['options'].pop('fatol')\n                    res = self.minimizer(self.func, x, **kwargs)\n                    if i + 1 < len(self.kwargs['method']):\n                        x = res.x\n                    #print(method, res.fun)\n                return res\n            else:\n                return self.minimizer(self.func, x0, **self.kwargs)\n\n\nclass Metropolis:\n    \"\"\"Metropolis acceptance criterion.\n\n    Parameters\n    ----------\n    T : float\n        The \"temperature\" parameter for the accept or reject criterion.\n    random_gen : {None, int, `numpy.random.Generator`,\n                  `numpy.random.RandomState`}, optional\n\n        If `seed` is None (or `np.random`), the `numpy.random.RandomState`\n        singleton is used.\n        If `seed` is an int, a new ``RandomState`` instance is used,\n        seeded with `seed`.\n        If `seed` is already a ``Generator`` or ``RandomState`` instance then\n        that instance is used.\n        Random number generator used for acceptance test.\n\n    \"\"\"\n\n    def __init__(self, T, random_gen=None):\n        # Avoid ZeroDivisionError since \"MBH can be regarded as a special case\n        # of the BH framework with the Metropolis criterion, where temperature\n        # T = 0.\" (Reject all steps that increase energy.)\n        self.beta = 1.0 / T if T != 0 else float('inf')\n        self.random_gen = check_random_state(random_gen)\n\n    def accept_reject(self, res_new, res_old):\n        \"\"\"\n        Assuming the local search underlying res_new was successful:\n        If new energy is lower than old, it will always be accepted.\n        If new is higher than old, there is a chance it will be accepted,\n        less likely for larger differences.\n        \"\"\"\n        with np.errstate(invalid='ignore'):\n            # The energy values being fed to Metropolis are 1-length arrays, and if\n            # they are equal, their difference is 0, which gets multiplied by beta,\n            # which is inf, and array([0]) * float('inf') causes\n            #\n            # RuntimeWarning: invalid value encountered in multiply\n            #\n            # Ignore this warning so when the algorithm is on a flat plane, it always\n            # accepts the step, to try to move off the plane.\n            prod = -(res_new.fun - res_old.fun) * self.beta\n            w = math.exp(min(0, prod))\n            #print(\"=================================================================\", res_new.fun, res_old.fun, w)\n\n        rand = self.random_gen.uniform()\n        return w >= rand #and (res_new.success or not res_old.success)\n\n    def __call__(self, *, res_new, res_old):\n        \"\"\"\n        f_new and f_old are mandatory in kwargs\n        \"\"\"\n        return bool(self.accept_reject(res_new, res_old))\n\n\ndef basinhopping(func, x0, niter=100, T=1.0, stepsize=0.5,\n                 minimizer_kwargs=None, take_step=None, accept_test=None,\n                 callback=None, interval=50, disp=False, niter_success=None,\n                 seed=None, *, target_accept_rate=0.5, stepwise_factor=0.9):\n    \"\"\"Find the global minimum of a function using the basin-hopping algorithm.\n\n    Basin-hopping is a two-phase method that combines a global stepping\n    algorithm with local minimization at each step. Designed to mimic\n    the natural process of energy minimization of clusters of atoms, it works\n    well for similar problems with \"funnel-like, but rugged\" energy landscapes\n    [5]_.\n\n    As the step-taking, step acceptance, and minimization methods are all\n    customizable, this function can also be used to implement other two-phase\n    methods.\n\n    Parameters\n    ----------\n    func : callable ``f(x, *args)``\n        Function to be optimized.  ``args`` can be passed as an optional item\n        in the dict `minimizer_kwargs`\n    x0 : array_like\n        Initial guess.\n    niter : integer, optional\n        The number of basin-hopping iterations. There will be a total of\n        ``niter + 1`` runs of the local minimizer.\n    T : float, optional\n        The \"temperature\" parameter for the acceptance or rejection criterion.\n        Higher \"temperatures\" mean that larger jumps in function value will be\n        accepted.  For best results `T` should be comparable to the\n        separation (in function value) between local minima.\n    stepsize : float, optional\n        Maximum step size for use in the random displacement.\n    minimizer_kwargs : dict, optional\n        Extra keyword arguments to be passed to the local minimizer\n        `scipy.optimize.minimize` Some important options could be:\n\n            method : str\n                The minimization method (e.g. ``\"L-BFGS-B\"``)\n            args : tuple\n                Extra arguments passed to the objective function (`func`) and\n                its derivatives (Jacobian, Hessian).\n\n    take_step : callable ``take_step(x)``, optional\n        Replace the default step-taking routine with this routine. The default\n        step-taking routine is a random displacement of the coordinates, but\n        other step-taking algorithms may be better for some systems.\n        `take_step` can optionally have the attribute ``take_step.stepsize``.\n        If this attribute exists, then `basinhopping` will adjust\n        ``take_step.stepsize`` in order to try to optimize the global minimum\n        search.\n    accept_test : callable, ``accept_test(f_new=f_new, x_new=x_new, f_old=fold, x_old=x_old)``, optional\n        Define a test which will be used to judge whether to accept the\n        step. This will be used in addition to the Metropolis test based on\n        \"temperature\" `T`. The acceptable return values are True,\n        False, or ``\"force accept\"``. If any of the tests return False\n        then the step is rejected. If the latter, then this will override any\n        other tests in order to accept the step. This can be used, for example,\n        to forcefully escape from a local minimum that `basinhopping` is\n        trapped in.\n    callback : callable, ``callback(x, f, accept)``, optional\n        A callback function which will be called for all minima found. ``x``\n        and ``f`` are the coordinates and function value of the trial minimum,\n        and ``accept`` is whether that minimum was accepted. This can\n        be used, for example, to save the lowest N minima found. Also,\n        `callback` can be used to specify a user defined stop criterion by\n        optionally returning True to stop the `basinhopping` routine.\n    interval : integer, optional\n        interval for how often to update the `stepsize`\n    disp : bool, optional\n        Set to True to print status messages\n    niter_success : integer, optional\n        Stop the run if the global minimum candidate remains the same for this\n        number of iterations.\n    seed : {None, int, `numpy.random.Generator`, `numpy.random.RandomState`}, optional\n\n        If `seed` is None (or `np.random`), the `numpy.random.RandomState`\n        singleton is used.\n        If `seed` is an int, a new ``RandomState`` instance is used,\n        seeded with `seed`.\n        If `seed` is already a ``Generator`` or ``RandomState`` instance then\n        that instance is used.\n        Specify `seed` for repeatable minimizations. The random numbers\n        generated with this seed only affect the default Metropolis\n        `accept_test` and the default `take_step`. If you supply your own\n        `take_step` and `accept_test`, and these functions use random\n        number generation, then those functions are responsible for the state\n        of their random number generator.\n    target_accept_rate : float, optional\n        The target acceptance rate that is used to adjust the `stepsize`.\n        If the current acceptance rate is greater than the target,\n        then the `stepsize` is increased. Otherwise, it is decreased.\n        Range is (0, 1). Default is 0.5.\n\n        .. versionadded:: 1.8.0\n\n    stepwise_factor : float, optional\n        The `stepsize` is multiplied or divided by this stepwise factor upon\n        each update. Range is (0, 1). Default is 0.9.\n\n        .. versionadded:: 1.8.0\n\n    Returns\n    -------\n    res : OptimizeResult\n        The optimization result represented as a `OptimizeResult` object.\n        Important attributes are: ``x`` the solution array, ``fun`` the value\n        of the function at the solution, and ``message`` which describes the\n        cause of the termination. The ``OptimizeResult`` object returned by the\n        selected minimizer at the lowest minimum is also contained within this\n        object and can be accessed through the ``lowest_optimization_result``\n        attribute.  See `OptimizeResult` for a description of other attributes.\n\n    See Also\n    --------\n    minimize :\n        The local minimization function called once for each basinhopping step.\n        `minimizer_kwargs` is passed to this routine.\n\n    Notes\n    -----\n    Basin-hopping is a stochastic algorithm which attempts to find the global\n    minimum of a smooth scalar function of one or more variables [1]_ [2]_ [3]_\n    [4]_. The algorithm in its current form was described by David Wales and\n    Jonathan Doye [2]_ http://www-wales.ch.cam.ac.uk/.\n\n    The algorithm is iterative with each cycle composed of the following\n    features\n\n    1) random perturbation of the coordinates\n\n    2) local minimization\n\n    3) accept or reject the new coordinates based on the minimized function\n       value\n\n    The acceptance test used here is the Metropolis criterion of standard Monte\n    Carlo algorithms, although there are many other possibilities [3]_.\n\n    This global minimization method has been shown to be extremely efficient\n    for a wide variety of problems in physics and chemistry. It is\n    particularly useful when the function has many minima separated by large\n    barriers. See the `Cambridge Cluster Database\n    <https://www-wales.ch.cam.ac.uk/CCD.html>`_ for databases of molecular\n    systems that have been optimized primarily using basin-hopping. This\n    database includes minimization problems exceeding 300 degrees of freedom.\n\n    See the free software program `GMIN <https://www-wales.ch.cam.ac.uk/GMIN>`_\n    for a Fortran implementation of basin-hopping. This implementation has many\n    variations of the procedure described above, including more\n    advanced step taking algorithms and alternate acceptance criterion.\n\n    For stochastic global optimization there is no way to determine if the true\n    global minimum has actually been found. Instead, as a consistency check,\n    the algorithm can be run from a number of different random starting points\n    to ensure the lowest minimum found in each example has converged to the\n    global minimum. For this reason, `basinhopping` will by default simply\n    run for the number of iterations `niter` and return the lowest minimum\n    found. It is left to the user to ensure that this is in fact the global\n    minimum.\n\n    Choosing `stepsize`:  This is a crucial parameter in `basinhopping` and\n    depends on the problem being solved. The step is chosen uniformly in the\n    region from x0-stepsize to x0+stepsize, in each dimension. Ideally, it\n    should be comparable to the typical separation (in argument values) between\n    local minima of the function being optimized. `basinhopping` will, by\n    default, adjust `stepsize` to find an optimal value, but this may take\n    many iterations. You will get quicker results if you set a sensible\n    initial value for ``stepsize``.\n\n    Choosing `T`: The parameter `T` is the \"temperature\" used in the\n    Metropolis criterion. Basinhopping steps are always accepted if\n    ``func(xnew) < func(xold)``. Otherwise, they are accepted with\n    probability::\n\n        exp( -(func(xnew) - func(xold)) / T )\n\n    So, for best results, `T` should to be comparable to the typical\n    difference (in function values) between local minima. (The height of\n    \"walls\" between local minima is irrelevant.)\n\n    If `T` is 0, the algorithm becomes Monotonic Basin-Hopping, in which all\n    steps that increase energy are rejected.\n\n    .. versionadded:: 0.12.0\n\n    References\n    ----------\n    .. [1] Wales, David J. 2003, Energy Landscapes, Cambridge University Press,\n        Cambridge, UK.\n    .. [2] Wales, D J, and Doye J P K, Global Optimization by Basin-Hopping and\n        the Lowest Energy Structures of Lennard-Jones Clusters Containing up to\n        110 Atoms.  Journal of Physical Chemistry A, 1997, 101, 5111.\n    .. [3] Li, Z. and Scheraga, H. A., Monte Carlo-minimization approach to the\n        multiple-minima problem in protein folding, Proc. Natl. Acad. Sci. USA,\n        1987, 84, 6611.\n    .. [4] Wales, D. J. and Scheraga, H. A., Global optimization of clusters,\n        crystals, and biomolecules, Science, 1999, 285, 1368.\n    .. [5] Olson, B., Hashmi, I., Molloy, K., and Shehu1, A., Basin Hopping as\n        a General and Versatile Optimization Framework for the Characterization\n        of Biological Macromolecules, Advances in Artificial Intelligence,\n        Volume 2012 (2012), Article ID 674832, :doi:`10.1155/2012/674832`\n\n    Examples\n    --------\n    The following example is a 1-D minimization problem, with many\n    local minima superimposed on a parabola.\n\n    >>> import numpy as np\n    >>> from scipy.optimize import basinhopping\n    >>> func = lambda x: np.cos(14.5 * x - 0.3) + (x + 0.2) * x\n    >>> x0 = [1.]\n\n    Basinhopping, internally, uses a local minimization algorithm. We will use\n    the parameter `minimizer_kwargs` to tell basinhopping which algorithm to\n    use and how to set up that minimizer. This parameter will be passed to\n    `scipy.optimize.minimize`.\n\n    >>> minimizer_kwargs = {\"method\": \"BFGS\"}\n    >>> ret = basinhopping(func, x0, minimizer_kwargs=minimizer_kwargs,\n    ...                    niter=200)\n    >>> print(\"global minimum: x = %.4f, f(x) = %.4f\" % (ret.x, ret.fun))\n    global minimum: x = -0.1951, f(x) = -1.0009\n\n    Next consider a 2-D minimization problem. Also, this time, we\n    will use gradient information to significantly speed up the search.\n\n    >>> def func2d(x):\n    ...     f = np.cos(14.5 * x[0] - 0.3) + (x[1] + 0.2) * x[1] + (x[0] +\n    ...                                                            0.2) * x[0]\n    ...     df = np.zeros(2)\n    ...     df[0] = -14.5 * np.sin(14.5 * x[0] - 0.3) + 2. * x[0] + 0.2\n    ...     df[1] = 2. * x[1] + 0.2\n    ...     return f, df\n\n    We'll also use a different local minimization algorithm. Also, we must tell\n    the minimizer that our function returns both energy and gradient (Jacobian).\n\n    >>> minimizer_kwargs = {\"method\":\"L-BFGS-B\", \"jac\":True}\n    >>> x0 = [1.0, 1.0]\n    >>> ret = basinhopping(func2d, x0, minimizer_kwargs=minimizer_kwargs,\n    ...                    niter=200)\n    >>> print(\"global minimum: x = [%.4f, %.4f], f(x) = %.4f\" % (ret.x[0],\n    ...                                                           ret.x[1],\n    ...                                                           ret.fun))\n    global minimum: x = [-0.1951, -0.1000], f(x) = -1.0109\n\n    Here is an example using a custom step-taking routine. Imagine you want\n    the first coordinate to take larger steps than the rest of the coordinates.\n    This can be implemented like so:\n\n    >>> class MyTakeStep:\n    ...    def __init__(self, stepsize=0.5):\n    ...        self.stepsize = stepsize\n    ...        self.rng = np.random.default_rng()\n    ...    def __call__(self, x):\n    ...        s = self.stepsize\n    ...        x[0] += self.rng.uniform(-2.*s, 2.*s)\n    ...        x[1:] += self.rng.uniform(-s, s, x[1:].shape)\n    ...        return x\n\n    Since ``MyTakeStep.stepsize`` exists basinhopping will adjust the magnitude\n    of `stepsize` to optimize the search. We'll use the same 2-D function as\n    before\n\n    >>> mytakestep = MyTakeStep()\n    >>> ret = basinhopping(func2d, x0, minimizer_kwargs=minimizer_kwargs,\n    ...                    niter=200, take_step=mytakestep)\n    >>> print(\"global minimum: x = [%.4f, %.4f], f(x) = %.4f\" % (ret.x[0],\n    ...                                                           ret.x[1],\n    ...                                                           ret.fun))\n    global minimum: x = [-0.1951, -0.1000], f(x) = -1.0109\n\n    Now, let's do an example using a custom callback function which prints the\n    value of every minimum found\n\n    >>> def print_fun(x, f, accepted):\n    ...         print(\"at minimum %.4f accepted %d\" % (f, int(accepted)))\n\n    We'll run it for only 10 basinhopping steps this time.\n\n    >>> rng = np.random.default_rng()\n    >>> ret = basinhopping(func2d, x0, minimizer_kwargs=minimizer_kwargs,\n    ...                    niter=10, callback=print_fun, seed=rng)\n    at minimum 0.4159 accepted 1\n    at minimum -0.4317 accepted 1\n    at minimum -1.0109 accepted 1\n    at minimum -0.9073 accepted 1\n    at minimum -0.4317 accepted 0\n    at minimum -0.1021 accepted 1\n    at minimum -0.7425 accepted 1\n    at minimum -0.9073 accepted 1\n    at minimum -0.4317 accepted 0\n    at minimum -0.7425 accepted 1\n    at minimum -0.9073 accepted 1\n\n    The minimum at -1.0109 is actually the global minimum, found already on the\n    8th iteration.\n\n    \"\"\"\n    if target_accept_rate <= 0. or target_accept_rate >= 1.:\n        raise ValueError('target_accept_rate has to be in range (0, 1)')\n    if stepwise_factor <= 0. or stepwise_factor >= 1.:\n        raise ValueError('stepwise_factor has to be in range (0, 1)')\n\n    x0 = np.array(x0)\n\n    # set up the np.random generator\n    rng = check_random_state(seed)\n\n    # set up minimizer\n    if minimizer_kwargs is None:\n        minimizer_kwargs = dict()\n    wrapped_minimizer = MinimizerWrapper(scipy.optimize.minimize, func,\n                                         **minimizer_kwargs)\n\n    # set up step-taking algorithm\n    if take_step is not None:\n        if not callable(take_step):\n            raise TypeError(\"take_step must be callable\")\n        # if take_step.stepsize exists then use AdaptiveStepsize to control\n        # take_step.stepsize\n        if hasattr(take_step, \"stepsize\"):\n            take_step_wrapped = AdaptiveStepsize(\n                take_step, interval=interval,\n                accept_rate=target_accept_rate,\n                factor=stepwise_factor,\n                verbose=disp)\n        else:\n            take_step_wrapped = take_step\n    else:\n        # use default\n        displace = RandomDisplacement(stepsize=stepsize, random_gen=rng)\n        take_step_wrapped = AdaptiveStepsize(displace, interval=interval,\n                                             accept_rate=target_accept_rate,\n                                             factor=stepwise_factor,\n                                             verbose=disp)\n\n    # set up accept tests\n    accept_tests = []\n    if accept_test is not None:\n        if not callable(accept_test):\n            raise TypeError(\"accept_test must be callable\")\n        accept_tests = [accept_test]\n\n    # use default\n    metropolis = Metropolis(T, random_gen=rng)\n    accept_tests.append(metropolis)\n\n    if niter_success is None:\n        niter_success = niter + 2\n\n    bh = BasinHoppingRunner(x0, wrapped_minimizer, take_step_wrapped,\n                            accept_tests, disp=disp)\n\n    # The wrapped minimizer is called once during construction of\n    # BasinHoppingRunner, so run the callback\n    if callable(callback):\n        val = callback(bh.storage.minres.x, bh.storage.minres.fun, True)\n        # no bh search if the target is already reached\n        if val is not None:\n            if val:\n                niter = 0\n    # start main iteration loop\n    count, i = 0, 0\n    message = [\"requested number of basinhopping iterations completed\"\n               \" successfully\"]\n    for i in range(niter):\n        new_global_min = bh.one_cycle()\n\n        if callable(callback):\n            # should we pass a copy of x?\n            val = callback(bh.xtrial, bh.energy_trial, bh.accept)\n            if val is not None:\n                if val:\n                    message = [\"callback function requested stop early by\"\n                               \"returning True\"]\n                    break\n\n        count += 1\n        if new_global_min:\n            count = 0\n        elif count > niter_success:\n            message = [\"success condition satisfied\"]\n            break\n\n    # prepare return object\n    res = bh.res\n    res.lowest_optimization_result = bh.storage.get_lowest()\n    res.x = np.copy(res.lowest_optimization_result.x)\n    res.fun = res.lowest_optimization_result.fun\n    res.message = message\n    res.nit = i + 1\n    res.success = res.lowest_optimization_result.success\n    res.xtrials = bh.xtrials\n    res.energy_trials = bh.energy_trials\n    return res\n"
  },
  {
    "path": "pyxtal/lego/builder.py",
    "content": "\"\"\"\nThe builder aims to generate crystal structure from the defined\nbuilding blocks (e.g., SiO2 with 4-coordined Si and 2-coordinated O)\n1. Generate all possible wp combinations\n2. For each wp combination,\n\n    2.1 generate structure randomly\n    2.2 optimize the geomtry\n    2.3 parse the coordination\n    2.4 save the qualified structure to ase.db\n\nTodo:\n1. Symmetry support for dSdX\n2. add parallel for gulp optimiza\n\"\"\"\n\n# Standard Libraries\nimport os\nimport numpy as np\nfrom scipy.optimize import minimize\nfrom concurrent.futures import ProcessPoolExecutor\nfrom multiprocessing import Pool\nfrom collections import deque\n\n# Material science Libraries\nfrom ase.db import connect\nfrom pyxtal import pyxtal\nfrom pyxtal.util import generate_wp_lib\nfrom pyxtal.lattice import Lattice\nfrom pyxtal.db import database_topology\nfrom pyxtal.lego.util import get_input_from_letters, calculate_S, calculate_dSdx\nfrom pyxtal.lego.basinhopping import basinhopping\nfrom pyxtal.lego.SO3 import SO3\n\n# Logging and debugging\nimport logging\nfrom time import time\n# np.set_printoptions(precision=3, suppress=True)\n\nVECTORS = np.array([[x1, y1, z1] for x1 in range(-1, 2) for y1 in range(-1, 2) for z1 in range(-1, 2)])\n\ndef generate_wp_lib_par(spgs, composition, num_wp, num_fu, num_dof):\n    \"\"\"\n    A wrapper to generate the wp list in parallel\n    \"\"\"\n    my_spgs, wp_libs = [], []\n    for spg in spgs:\n        wp_lib = generate_wp_lib([spg], composition, num_wp, num_fu, num_dof),\n        if len(wp_lib) > 0:\n            wp_libs.append(wp_lib)\n            my_spgs.append(spg)\n    return (my_spgs, wp_libs)\n\ndef generate_xtal_par(wp_libs, niter, dim, elements, calculator, ref_environments,\n                      criteria, T, N_max, early_quit):\n    \"\"\"\n    A wrapper to call generate_xtal function in parallel\n    \"\"\"\n    xtals, sims = [], []\n    for wp_lib in wp_libs:\n        (number, spg, wps, dof) = wp_lib\n        xtal, sim = generate_xtal(dim, spg, wps, niter*dof, elements, calculator,\n                                  ref_environments, criteria, T, N_max, early_quit)\n        if xtal is not None:\n            xtals.append(xtal)\n            sims.append(sim)\n\n    return (xtals, sims)\n\ndef minimize_from_x_par(*args):\n    \"\"\"\n    A wrapper to call minimize_from_x function in parallel\n    \"\"\"\n    dim, wp_libs, elements, calculator, ref_environments, opt_type, T, niter, early_quit, minimizers = args[0]\n    xtals = []\n    xs = []\n    for wp_lib in wp_libs:\n        (x, spg, wps) = wp_lib\n        res = minimize_from_x(x, dim, spg, wps, elements, calculator,\n                              ref_environments, T, niter,\n                              early_quit, opt_type, minimizers,\n                              filename=None)\n        if res is not None:\n            xtals.append(res[0])\n            xs.append(res[1])\n    return xtals, xs\n\n\ndef generate_xtal(dim, spg, wps, niter, elements, calculator,\n                  ref_environments, criteria, T, N_max, early_quit,\n                  dump=False, random_state=None, verbose=False):\n    \"\"\"\n    Generate a crystal with the desired local environment\n\n    Args:\n        dim (int): 1, 2, 3\n        spg: pyxtal.symmetry.Group object\n        wps: list of wps for the disired crystal (e.g., [wp1, wp2])\n        ref_env: reference enviroment\n        f: callable function to compute env\n        n_iter (int):\n        T (float): for basinhopping\n\n    Returns:\n        xtal and its similarity\n    \"\"\"\n\n    # Here we start to optimize the xtal based on similarity\n\n    print(\"\\n\", dim, spg, wps, T, N_max, early_quit)\n    count = 0\n    while True:\n\n        filename = 'opt.txt' if dump else None\n        result = minimize_from_x(None, dim, spg, wps, elements, calculator,\n                                 ref_environments, T, niter, early_quit,\n                                 'global', filename=filename,\n                                 random_state=random_state)\n\n        if result is not None:\n            (xtal, xs) = result\n            if xtal.check_validity(criteria, verbose=verbose):\n                x = xtal.get_1d_rep_x()\n                sim1 = calculate_S(x, xtal, ref_environments, calculator)\n                print(xtal.get_xtal_string({'sim': sim1}))\n            else:\n                xtal = None\n                sim1 = None\n            return xtal, sim1\n\n        count += 1\n        if count == N_max:\n            break\n    return None, None\n\n\ndef minimize_from_x(x, dim, spg, wps, elements, calculator, ref_environments,\n                    T=0.2, niter=20, early_quit=0.02, opt_type='local',\n                    minimizers=[('Nelder-Mead', 100), ('L-BFGS-B', 100)],\n                    filename='local_opt_data.txt', random_state=None,\n                    #derivative=True):\n                    derivative=False):\n    \"\"\"\n    Generate xtal from the 1d representation\n\n    Args:\n        x: list of 1D array\n        spg (int): space group number (1-230)\n        wps (string): e.g. [['4a', '8b']]\n        elements (string): e.g., ['Si', 'O']\n    \"\"\"\n    if derivative:\n        jac = calculate_dSdx\n    else:\n        jac = None\n\n    g, wps, dof = get_input_from_letters(spg, wps, dim)\n    l_type = g.lattice_type\n    sites_wp = []\n    sites = []\n    numIons = []\n    ref_envs = None\n    for i, wp in enumerate(wps):\n        site = []\n        numIon = 0\n        for w in wp:\n            sites.append((elements[i], w))  # .get_label())\n            site.append(w.get_label())\n            numIon += w.multiplicity\n            if ref_envs is None:\n                ref_envs = ref_environments[i]\n            else:\n                ref_envs = np.vstack((ref_envs, ref_environments[i]))\n        sites_wp.append(site)\n        numIons.append(numIon)\n\n    if len(ref_envs.shape) == 1:\n        ref_envs = ref_envs.reshape((1, len(ref_envs)))\n\n    xtal = pyxtal()\n    if x is None:\n        count = 0\n        while True:\n            count += 1\n            try:\n                xtal.from_random(dim, g, elements, numIons,\n                                 sites=sites_wp, factor=1.0,\n                                 random_state=random_state)\n            except RuntimeError:\n                print(g.number, numIons, sites)\n                print(\"Trouble in generating random xtals from pyxtal\")\n            if xtal.valid:\n                atoms = xtal.to_ase(resort=False, add_vaccum=False)\n                try:\n                    des = calculator.calculate(atoms)['x']\n                except:\n                    if filename is not None:\n                        print('Not a good structure, skip')\n                    continue\n                x = xtal.get_1d_rep_x()\n                break\n            elif count == 5:\n                return None\n    else:\n        sites = []\n        for ele, _wps in zip(elements, wps):\n            for wp in _wps:\n                sites.append((ele, wp))\n        try:\n            xtal.from_1d_rep(x, sites, dim=dim)\n        except:\n            return None\n\n    x0 = np.array(x.copy())\n    # Extract variables, call from Pyxtal\n    [N_abc, N_ang] = Lattice.get_dofs(xtal.lattice.ltype)\n    rep = xtal.get_1D_representation()\n    xyzs = rep.x[1:]\n\n    # Set constraints and minimization\n    bounds = [(1.5, 50)] * (N_abc) + [(30, 150)] * (N_ang)\n\n    # Special treatment in case the random lattice is small\n    for i in range(N_abc):\n        if x[i] < 1.5:\n            x[i] = 1.5\n        if x[i] > 50.0:\n            x[i] = 50.0\n\n    for i in range(N_abc, N_abc + N_ang):\n        if x[i] < 30.0:\n            x[i] = 30.0\n        if x[i] > 150.0:\n            x[i] = 150.0\n\n    for xyz in xyzs:\n        if len(xyz) > 2:\n            bounds += [(0.0, 1.0)] * len(xyz[2:])\n\n    if len(x) != len(bounds):\n        print('debug before min', xtal, x, bounds, len(x), len(bounds))\n\n    sim0 = calculate_S(x, xtal, ref_envs, calculator)\n    if filename is not None:\n        with open(filename, 'a+') as f0:\n            f0.write('\\nSpace Group: {:d}\\n'.format(xtal.group.number))\n            for element, numIon, site in zip(elements, numIons, sites_wp):\n                strs = 'Element: {:2s} {:4d} '.format(element, numIon)\n                for s in site:\n                    strs += '{:s} '.format(s)\n                strs += '\\n'\n                f0.write(strs)\n            # Initial value\n            strs = 'Init: {:9.3f} '.format(sim0)\n            for x0 in x:\n                strs += '{:8.4f} '.format(x0)\n            strs += '\\n'\n            print(strs)\n            f0.write(strs)\n\n    # Run local minimization\n    if opt_type == 'local':\n        # set call back function for debugging\n        def print_local_fun(x):\n            f = calculate_S(x, xtal, ref_envs, calculator)\n            print(\"{:.4f} \".format(f), x)\n            if filename is not None:\n                with open(filename, 'a+') as f0:\n                    strs = 'Iter: {:9.3f} '.format(f)\n                    for x0 in x[:3]:\n                        strs += '{:8.4f} '.format(x0)\n                    strs += '\\n'\n                    f0.write(strs)\n        callback = print_local_fun if filename is not None else None\n\n        for minimizer in minimizers:\n            (method, step) = minimizer\n            #print(\"Starting\", xtal.lattice, method, step)\n            if len(x) != len(bounds):\n                print('debug min', xtal, x, bounds, len(x), len(bounds))\n            res = minimize(calculate_S, x,\n                           method=method,\n                           args=(xtal, ref_envs, calculator),\n                           jac=None if method=='Nelder-Mead' else jac,\n                           bounds=bounds,\n                           options={'maxiter': step}, #'disp': True},\n                           callback=callback)\n            x = res.x\n            if xtal.lattice is None:\n                return None\n            #import sys; sys.exit()\n\n        if filename is not None:\n            with open(filename, 'a+') as f0:\n                f0.write('END\\n')\n    else:\n        # set call back function for debugging\n        def print_fun_local(x):\n            f = calculate_S(x, xtal, ref_envs, calculator)\n            # print(\"{:.4f} \".format(f), x)\n            if f < early_quit:\n                return True\n            else:\n                return None\n        callback = print_fun_local  # if verbose else None\n\n        minimizer_kwargs = {'method': ['Nelder-Mead', 'l-bfgs-b',\n                                       'Nelder-Mead', 'l-bfgs-b'],\n                            'args': (xtal, ref_envs, calculator),\n                            'bounds': bounds,\n                            'callback': callback,\n                            'options': {'maxiter': 100,\n                                        'fatol': 1e-6,\n                                        'ftol': 1e-6}}\n\n        bounded_step = RandomDispBounds(np.array([b[0] for b in bounds]),\n                                        np.array([b[1] for b in bounds]),\n                                        id1=N_abc + N_ang,\n                                        id2=N_abc)\n\n        # set call back function for debugging\n        def print_fun(x, f, accepted):\n            if filename is not None:\n                print(\"minimum {:.4f}[{:.4f}] accepted {:d} \".format(\n                    f, early_quit, int(accepted)), x[:N_abc])\n            if f < early_quit:\n                # print(\"Return True\", True is not None)\n                return True\n            else:\n                return None\n        callback = print_fun  # if verbose else None\n\n        # Run BH optimization\n        res = basinhopping(calculate_S, x, T=T,\n                           minimizer_kwargs=minimizer_kwargs,\n                           niter=niter,\n                           take_step=bounded_step,\n                           callback=callback)\n        if xtal.lattice is None:\n            return None\n\n    # Extract the optimized xtal\n    xtal = pyxtal()\n    try:\n        xtal.from_1d_rep(res.x, sites, dim=dim)\n        return xtal, (x0, res.x)\n    except:\n        return None\n\n\n\nclass builder(object):\n    \"\"\"\n    Class for generating structures with desired local environments\n\n    Args:\n        elements (str): e.g. ['Si', 'O']\n        composition (int): e.g. [1, 2]\n        dim (int): e.g., 0, 1, 2, 3\n        db_file (str): default is 'mof.db'\n        log_file (str): default is 'mof.log'\n\n    Examples\n    --------\n\n    To create a new structure instance\n\n    >>> from pyxtal.lego.builder import builder\n    >>> bu = builder(['P', 'O', 'N'], [1, 1, 1], db_file='PON.db')\n    \"\"\"\n\n    def __init__(self, elements, composition, dim=3, prefix='mof',\n                 db_file=None, log_file=None, rank=0, verbose=False):\n\n        self.rank = rank\n        self.prefix = f\"{prefix}-{rank}\"\n        # Define the chemical system\n        self.dim = dim\n        self.elements = elements\n        self.composition = composition\n\n        # Initialize neccessary functions and attributes\n        self.calculator = None       # will be a callable function\n        self.ref_environments = None  # will be a numpy array\n        self.criteria = {}           # will be a dictionary\n        self.verbose = verbose\n\n        # Define the I/O\n        logging.getLogger().handlers.clear()\n        if log_file is not None:\n            self.log_file = log_file\n        else:\n            self.log_file = self.prefix + '.log'\n        logging.basicConfig(format=\"%(asctime)s| %(message)s\",\n                            filename=self.log_file,\n                            level=logging.INFO)\n\n        self.logging = logging\n        if db_file is not None:\n            self.db_file = db_file\n        else:\n            self.db_file = self.prefix + '.db'\n        self.db = database_topology(self.db_file, log_file=self.log_file)\n\n    def __str__(self):\n\n        s = \"\\n------MOF Builder------\"\n        s += \"\\nSystem: \"\n        for element, comp in zip(self.elements, self.composition):\n            s += \"{:s}{:d} \".format(element, comp)\n        s += \"\\nDatabase: {}\".format(self.db_file)\n        s += \"\\nLog_file: {}\".format(self.log_file)\n        if self.calculator is not None:\n            s += \"\\nDescriptor: {}\".format(self.calculator)\n        if self.ref_environments is not None:\n            (d1, d2) = self.ref_environments.shape\n            s += \"Reference enviroments ({:}, {:})\".format(d1, d2)\n        if len(self.criteria.keys()) > 0:\n            for key in self.criteria.keys():\n                s += '\\nCriterion_{:}: {:}'.format(key, self.criteria[key])\n        return s\n\n    def __repr__(self):\n        return str(self)\n\n    def print_memory_usage(self):\n        import psutil\n        process = psutil.Process(os.getpid())\n        mem = process.memory_info().rss / 1024 ** 2\n        self.logging.info(f\"Rank {self.rank} memory: {mem:.1f} MB\")\n        print(f\"Rank {self.rank} memory: {mem:.1f} MB\")\n\n    def set_descriptor_calculator(self, dtype='SO3', mykwargs={}):\n        \"\"\"\n        Set up the calculator for descriptor computation.\n        Here we mostly use the pyxtal_ff module\n\n        Arg:\n            dytpe (str): only SO3 is suppoted now\n        \"\"\"\n        if dtype == 'SO3':\n            kwargs = {'lmax': 4,\n                      'nmax': 2,\n                      'rcut': 2.2,\n                      'alpha': 1.5,\n                      'weight_on': True,\n                      }\n            kwargs.update(mykwargs)\n\n            self.calculator = SO3(**kwargs)\n\n    def set_reference_enviroments(self, cif_file, substitute=None):\n        \"\"\"\n        Get the reference enviroments\n\n        Args:\n            cif_file (str): cif structure\n            substitute (dict): substitution directory\n        \"\"\"\n\n        if self.calculator is None:\n            raise RuntimeError(\n                \"Must call set_descriptor_calculator in advance\")\n\n        xtal = pyxtal()\n        xtal.from_seed(cif_file)\n        if substitute is not None:\n            xtal.substitute(substitute)  # ; print(xtal)\n        xtal.resort_species(self.elements)\n\n        ids = [0] * len(self.elements)\n        count = 0\n        for site in xtal.atom_sites:\n            for i, element in enumerate(self.elements):\n                if element == site.specie:\n                    ids[i] = count\n                    break\n            count += site.multiplicity\n        if self.verbose:\n            print(\"ids from Reference xtal\", ids)\n        atoms = xtal.to_ase(resort=False)\n        self.ref_environments = self.calculator.compute_p(atoms, ids)\n        if self.verbose:\n            print(self.ref_environments)\n        self.ref_xtal = xtal\n\n    def set_criteria(self, CN=None, dimension=None, min_density=None, exclude_ii=False):\n        \"\"\"\n        define the criteria to check if a structure is good\n\n        Args:\n            CN (int): coordination number\n            dimension (int): target dimensionality (e.g. we want the 3D structure)\n            min_density (float): minimum density\n            exclude_ii (bool): allow the bond between same element\n        \"\"\"\n\n        if CN is not None:\n            self.criteria[\"CN\"] = CN\n            if 'cutoff' in CN.keys():\n                self.criteria['cutoff'] = CN['cutoff']\n            else:\n                self.criteria['cutoff'] = None\n        if dimension is not None:\n            self.criteria[\"Dimension\"] = dimension\n        if min_density is not None:\n            self.criteria[\"MIN_Density\"] = min_density\n        self.criteria['exclude_ii'] = exclude_ii\n\n    def get_input_from_letters(self, spg, wps):\n        \"\"\"\n        A short cut to get (spg, wps, dof) from the get_input functions\n\n        Args:\n            spg (int): space group number 1-230\n            wps (list): e.g. [['4a', '4b']]\n        \"\"\"\n        return get_input_from_letters(spg, wps, self.dim)\n\n    def get_input_from_ref_xtal(self, xtal, substitute=None):\n        \"\"\"\n        Generate the input from a given pyxtal\n\n        Args:\n            xtal: pyxtal object\n            substitute: a dictionary to describe chemical substitution\n        \"\"\"\n\n        # Make sure it is a pyxtal object\n        if type(xtal) == str:\n            c = pyxtal()\n            c.from_seed(xtal)\n            xtal = c\n        if substitute is not None:\n            xtal.substitute(substitute)\n\n        g = xtal.group\n        sites = [[] for _ in self.elements]\n        dof = xtal.lattice.dof\n        for s in xtal.atom_sites:\n            for i, specie in enumerate(self.elements):\n                if s.specie == specie:\n                    # wp_combo[i].append(s.wp)\n                    sites[i].append(s.wp.get_label())\n                    break\n            dof += s.wp.get_dof()\n\n        return g.number, sites, dof\n\n    def get_similarity(self, xtal):\n        \"\"\"\n        Compute the similrity for a given xtal\n        QZ: call calculate_S()\n\n        Args:\n            xtal: pyxtal object\n\n        Returns:\n            the similarity value .w.r.t the reference environment\n        \"\"\"\n        x = xtal.get_1d_rep_x()\n        return calculate_S(x, xtal, self.ref_environments,\n                           self.calculator)\n\n    def process_xtals(self, xtals, xs, add_db, symmetrize):\n        # Now process each of the results\n        valid_xtals = []\n        count = 0\n        for xtal, _xs in zip(xtals, xs):\n            status = xtal.check_validity(self.criteria, verbose=self.verbose)\n            if status:\n                valid_xtals.append(xtal)\n                sim1 = self.get_similarity(xtal)\n                if symmetrize:\n                    pmg = xtal.to_pymatgen()\n                    xtal = pyxtal()\n                    xtal.from_seed(pmg)\n                if add_db:\n                    self.process_xtal(xtal, [0, sim1], count, xs=_xs)\n                    count += 1\n                else:\n                    dicts = {'sim': \"{:6.3f}\".format(sim1)}\n                    print(xtal.get_xtal_string(dicts))\n        return valid_xtals\n\n    def optimize_xtals(self, xtals, ncpu=1, opt_type='local',\n                       T=0.2, niter=20, early_quit=0.02,\n                       add_db=True, symmetrize=False,\n                       minimizers=[('Nelder-Mead', 100), ('L-BFGS-B', 100)],\n                       ):\n        \"\"\"\n        Perform optimization for each structure\n\n        Args:\n            xtals: list of xtals\n            ncpu (int):\n\n        \"\"\"\n        args = (opt_type, T, niter, early_quit, add_db, symmetrize, minimizers)\n        if ncpu == 1:\n            valid_xtals = self.optimize_xtals_serial(xtals, args)\n        else:\n            valid_xtals = self.optimize_xtals_mproc(xtals, ncpu, args)\n        return valid_xtals\n\n    def optimize_xtals_serial(self, xtals, args):\n        \"\"\"\n        Optimization in serial mode.\n\n        Args:\n            xtals: list of xtals\n            args: (opt_type, T, n_iter, early_quit, add_db, symmetrize, minimizers)\n        \"\"\"\n        # (opt_type, T, n_iter, early_quit, add_db, symmetrize, minimizers) = args\n        xtals_opt = []\n        for i, xtal in enumerate(xtals):\n            xtal, sim, _xs = self.optimize_xtal(xtal, i, *args)\n            if xtal is not None:\n                xtals_opt.append(xtal)\n        return xtals_opt\n\n    def optimize_xtals_mproc(self, xtals, ncpu, args):\n        \"\"\"\n        Optimization in multiprocess mode.\n\n        Args:\n            xtals: list of xtals\n            ncpu (int): number of parallel python processes\n            args: (opt_type, T, n_iter, early_quit, add_db, symmetrize, minimizers)\n        \"\"\"\n\n        pool = Pool(processes=ncpu)\n        (opt_type, T, niter, early_quit, add_db, symmetrize, minimizers) = args\n        xtals_opt = deque()\n\n        # Split the input structures to minibatches\n        N_batches = 50 * ncpu\n        for _i, i in enumerate(range(0, len(xtals), N_batches)):\n            start, end = i, min([i+N_batches, len(xtals)])\n            ids = list(range(start, end))\n            print(f\"Rank {self.rank} minibatch {start} {end}\")\n            self.print_memory_usage()\n\n            def generate_args():\n                \"\"\"\n                A generator to yield argument lists for minimize_from_x_par.\n                \"\"\"\n                for j in range(ncpu):\n                    _ids = ids[j::ncpu]\n                    wp_libs = []\n                    for id in _ids:\n                        xtal = xtals[id]\n                        x = xtal.get_1d_rep_x()\n                        spg, wps, _ = self.get_input_from_ref_xtal(xtal)\n                        wp_libs.append((x, xtal.group.number, wps))\n                    yield (self.dim, wp_libs, self.elements, self.calculator,\n                           self.ref_environments, opt_type, T, niter,\n                           early_quit, minimizers)\n\n            # Use the generator to pass args to reduce memory usage\n            _xtal, _xs = None, None\n            for result in pool.imap_unordered(minimize_from_x_par,\n                                              generate_args(),\n                                              chunksize=1):\n                if result is not None:\n                    (_xtals, _xs) = result\n                    valid_xtals = self.process_xtals(\n                        _xtals, _xs, add_db, symmetrize)\n                    xtals_opt.extend(valid_xtals)  # Use deque to reduce memory\n\n            # Remove the duplicate structures\n            self.db.update_row_topology(overwrite=False, prefix=self.prefix)\n            self.db.clean_structures_spg_topology(dim=self.dim)\n\n            # After each minibatch, delete the local variables and run garbage collection\n            del ids, _xtals, _xs\n\n        xtals_opt = list(xtals_opt)\n        print(f\"Rank {self.rank} finish optimize_xtals_mproc {len(xtals_opt)}\")\n        return xtals_opt\n\n    def optimize_reps(self, reps, ncpu=1, opt_type='local',\n                      T=0.2, niter=20, early_quit=0.02,\n                      add_db=True, symmetrize=False,\n                      minimizers=[('Nelder-Mead', 100), ('L-BFGS-B', 100)],\n                      N_grids=None):\n        \"\"\"\n        Perform optimization for each structure\n\n        Args:\n            reps: list of reps\n            ncpu (int):\n        \"\"\"\n        args = (opt_type, T, niter, early_quit, add_db, symmetrize, minimizers)\n        if ncpu == 1:\n            valid_xtals = self.optimize_reps_serial(reps, args, N_grids)\n        else:\n            valid_xtals = self.optimize_reps_mproc(reps, ncpu, args, N_grids)\n        return valid_xtals\n\n    def optimize_reps_serial(self, reps, args, N_grids):\n        \"\"\"\n        Optimization in multiprocess mode.\n\n        Args:\n            reps: list of reps\n            ncpu (int): number of parallel python processes\n            args: (opt_type, T, n_iter, early_quit, add_db, symmetrize, minimizers)\n        \"\"\"\n        xtals_opt = []\n        for i, rep in enumerate(reps):\n            #print('start', i, rep, len(rep))\n            xtal = pyxtal()\n            discrete = False if N_grids is None else True\n            discrete_cell = abs(rep[1] - round(rep[1])) < 1e-5\n            xtal.from_tabular_representation(rep,\n                                             normalize=False,\n                                             discrete=discrete,\n                                             N_grids=N_grids,\n                                             discrete_cell=discrete_cell)\n                                             #verbose=True)\n            xtal, sim, _xs = self.optimize_xtal(xtal, i, *args)\n            if xtal is not None:\n                xtals_opt.append(xtal)\n            #else:\n            #    print(\"Debug====\"); import sys; sys.exit()\n        return xtals_opt\n\n    def optimize_reps_mproc(self, reps, ncpu, args, N_grids):\n        \"\"\"\n        Optimization in multiprocess mode.\n\n        Args:\n            reps: list of reps\n            ncpu (int): number of parallel python processes\n            args: (opt_type, T, n_iter, early_quit, add_db, symmetrize, minimizers)\n        \"\"\"\n\n        pool = Pool(processes=ncpu)\n        (opt_type, T, niter, early_quit, add_db, symmetrize, minimizers) = args\n        xtals_opt = deque()\n\n        # Split the input structures to minibatches\n        N_batches = 50 * ncpu\n        for _i, i in enumerate(range(0, len(reps), N_batches)):\n            start, end = i, min([i+N_batches, len(reps)])\n            ids = list(range(start, end))\n            print(f\"Rank {self.rank} minibatch {start} {end}\")\n            self.logging.info(f\"Rank {self.rank} minibatch {start} {end}\")\n            self.print_memory_usage()\n\n            def generate_args():\n                \"\"\"\n                A generator to yield argument lists for minimize_from_x_par.\n                \"\"\"\n                for j in range(ncpu):\n                    _ids = ids[j::ncpu]\n                    wp_libs = []\n                    for id in _ids:\n                        rep = reps[id]\n                        xtal = pyxtal()\n                        discrete = False if N_grids is None else True\n                        discrete_cell = abs(rep[1] - round(rep[1])) < 1e-5\n                        xtal.from_tabular_representation(rep,\n                                                         normalize=False,\n                                                         discrete=discrete,\n                                                         discrete_cell=discrete_cell,\n                                                         N_grids=N_grids)\n                        x = xtal.get_1d_rep_x()\n                        spg, wps, _ = self.get_input_from_ref_xtal(xtal)\n                        wp_libs.append((x, spg, wps))\n                    yield (self.dim, wp_libs, self.elements, self.calculator,\n                           self.ref_environments, opt_type, T, niter,\n                           early_quit, minimizers)\n\n            # Use the generator to pass args to reduce memory usage\n            _xtal, _xs = None, None\n            for result in pool.imap_unordered(minimize_from_x_par,\n                                              generate_args(),\n                                              chunksize=1):\n                if result is not None:\n                    (_xtals, _xs) = result\n                    valid_xtals = self.process_xtals(\n                        _xtals, _xs, add_db, symmetrize)\n                    xtals_opt.extend(valid_xtals)  # Use deque to reduce memory\n\n            # Remove the duplicate structures\n            self.db.update_row_topology(overwrite=False, prefix=self.prefix)\n            self.db.clean_structures_spg_topology(dim=self.dim)\n\n            # After each minibatch, delete the local variables and run garbage collection\n            del ids, _xtals, _xs\n            #gc.collect()  # Explicitly call garbage collector to free memory\n\n        xtals_opt = list(xtals_opt)\n        print(f\"Rank {self.rank} finish optimize_reps_mproc {len(xtals_opt)}\")\n        return xtals_opt\n\n    def optimize_xtal(self, xtal, count=0, opt_type='local',\n                      T=0.2, niter=20, early_quit=0.02,\n                      add_db=True, symmetrize=False,\n                      minimizers=[('Nelder-Mead', 100), ('L-BFGS-B', 100)],\n                      filename=None):\n        \"\"\"\n        Further optimize the input xtal w.r.t reference environment\n\n        Args:\n            xtal (instance): pyxtal\n        \"\"\"\n        # Change the angle to a better rep\n        if xtal.dim == 3 and xtal.lattice is not None and xtal.lattice.ltype in ['triclinic', 'monoclinic']:\n            xtal.optimize_lattice(standard=True)\n        #xtal.to_file(f'init_{count}.cif')#; print(xtal)\n        x = xtal.get_1d_rep_x()\n        _, wps, _ = self.get_input_from_ref_xtal(xtal)\n\n        sim0 = self.get_similarity(xtal)\n        if xtal.lattice is not None:\n            result = minimize_from_x(x, xtal.dim, xtal.group.number, wps,\n                                     self.elements, self.calculator,\n                                     self.ref_environments,\n                                     opt_type=opt_type,\n                                     T=T,\n                                     niter=niter,\n                                     early_quit=early_quit,\n                                     minimizers=minimizers,\n                                     filename=filename)\n            xtal, xs = result\n            if result is not None:\n                status = xtal.check_validity(self.criteria, verbose=self.verbose)\n                sim1 = self.get_similarity(xtal)\n                #print(\"after optim\", sim1, status)\n            else:\n                xtal, xs, status, sim1 = None, None, False, None\n        else:\n            print(\"Lattice is None\")#, xtal.get_xtal_string())\n            xtal, xs, status, sim1 = None, None, False, None\n            #import sys; sys.exit()\n\n        if status:\n            if symmetrize:\n                pmg = xtal.to_pymatgen()\n                xtal = pyxtal()\n                xtal.from_seed(pmg)\n            if add_db:\n                self.process_xtal(xtal, [sim0, sim1], count, xs)\n            else:\n                dicts = {'sim': \"{:6.3f} => {:6.3f}\".format(sim0, sim1)}\n                print(xtal.get_xtal_string(dicts))\n        else:\n            if self.verbose:\n                print('invalid relaxation', count)\n                print(xtal.get_xtal_string())\n            #import sys; sys.exit()\n            #xtal.to_file(f'{count}.cif')\n            xtal = None\n\n        return xtal, sim1, xs\n\n    def generate_xtal(self, spg, wps, niter, T=0.2, N_max=5,\n                      early_quit=0.03, dump=False, verbose=None,\n                      add_db=True, random_state=None):\n        \"\"\"\n        Generate a crystal with the desired local environment\n\n        Args:\n            spg (int): group number\n            wps (list): list of wps for the disired crystal (e.g., [spg, wp1, wp2])\n            n_iter (int): number of iterations for basin hopping\n            T (float): for basinhopping\n            N_max (int): number of maximum\n            early_quit (float): threshhold for early termination\n            dump (bool): whether or not dump the trajectory\n        \"\"\"\n        if verbose is None:\n            verbose = self.verbose\n        xtal, sim = generate_xtal(self.dim, spg, wps, niter,\n                                  self.elements,\n                                  self.calculator,\n                                  self.ref_environments,\n                                  self.criteria,\n                                  T, N_max, early_quit, dump,\n                                  random_state,\n                                  verbose=verbose)\n\n        if xtal is not None and xtal.check_validity(self.criteria):\n            if add_db:\n                self.process_xtal(xtal, [0, sim], 0)\n\n        return xtal, sim\n\n    def generate_xtals_from_wp_libs(self, wp_libs, N_max=5, ncpu=1,\n                                    T=0.2, factor=5, early_quit=0.02):\n        \"\"\"\n        Run multiple crystal generation from the given wp_libs\n        This is the core part for structure generation.\n\n        Args:\n            wp_libs (tuple): (number, spg, wps, dof)\n            N_max (int): Number of maximum runs\n            ncpu (int): Num of parallel processes\n            T (float): basinhopping temperature\n            factor (int): the number of Basinhopping iterations = factor * dof\n            early_quit (float): early termination for basinhopping\n        \"\"\"\n\n        # Generate xtals\n        _args = (self.dim,\n                 self.elements,\n                 self.calculator,\n                 self.ref_environments,\n                 self.criteria,\n                 T, N_max, early_quit)\n        count = 0\n        xtals, sims = [], []\n        if ncpu == 1:\n            for wp_lib in wp_libs:\n                (number, spg, wps, dof) = wp_lib\n                xtal, sim = generate_xtal(spg, wps, factor*dof, *_args)\n                if xtal is not None:\n                    xtals.append(xtal)\n                    sims.append(sim)\n\n        else:\n            N_cycle = int(np.ceil(len(wp_libs)/ncpu))\n            print(\n                \"\\n# Parallel Calculation in generate_xtals_from_wp_libs\", ncpu, N_cycle)\n\n            args_list = []\n            for i in range(ncpu):\n                id1 = i * N_cycle\n                id2 = min([id1 + N_cycle, len(wp_libs)])\n                args_list.append((wp_libs[id1:id2], factor) + _args)\n\n            with ProcessPoolExecutor(max_workers=ncpu) as executor:\n                results = [executor.submit(generate_xtal_par, *p)\n                           for p in args_list]\n                for result in results:\n                    (_xtals, _sims) = result.result()\n                    xtals.extend(_xtals)\n                    sims.extend(_sims)\n\n        for i, xtal in enumerate(xtals):\n            self.process_xtal(xtal, [0, sims[i]], i)\n\n        return xtals\n\n    def get_wp_libs_from_spglist(self, spg_list,\n                                 num_wp=(None, None),\n                                 num_fu=(None, None),\n                                 num_dof=(1, 10),\n                                 per_spg=30,\n                                 ncpu=1):\n        \"\"\"\n        Generate wp choices from the list of space groups\n\n        Args:\n            spglist (list): list of space group numbers\n            num_wp (int): a tuple of (min_wp, max_wp)\n            num_fu (int): a tuple of (min_fu, max_fu)\n            num_dof (int): a tuple of (min_dof, max_dof)\n            per_spg (int): maximum number of wp combinations\n            ncpu (int): number of processors\n        \"\"\"\n\n        print('\\nGet wp_libs from the given spglist')\n        composition = self.composition\n        (min_wp, max_wp) = num_wp\n        if min_wp is None:\n            min_wp = len(composition)\n        if max_wp is None:\n            max_wp = max([min_wp, len(composition)])\n        num_wp = (min_wp, max_wp)\n\n        def process_wp_lib(spg, wp_lib):\n            strs = \"{:d} wp combos in space group {:d}\".format(\n                len(wp_lib), spg)\n            print(strs)\n            self.logging.info(strs)\n\n            if len(wp_lib) > per_spg:\n                ids = np.random.choice(\n                    range(len(wp_lib)), per_spg, replace=False)\n                strs = \"Randomly choose {:} wp combinations\".format(per_spg)\n                wp_lib = [wp_lib[x] for x in ids]\n                print(strs)\n                self.logging.info(strs)\n            return wp_lib\n\n        # Get wp_libs\n        wp_libs_total = []\n        if ncpu == 1:\n            for spg in spg_list:\n                wp_lib = generate_wp_lib(\n                    [spg], composition, num_wp, num_fu, num_dof)\n                wp_lib = process_wp_lib(spg, wp_lib)\n                if len(wp_lib) > 0:\n                    wp_libs_total.extend(wp_lib)\n\n        else:\n            N_cycle = int(np.ceil(len(spg_list)/ncpu))\n            args_list = []\n            print(\"\\n# Parallel Calculation in get_wp_libs_from_spglist\", ncpu, N_cycle)\n            for i in range(ncpu):\n                id1 = i*N_cycle\n                id2 = min([id1+N_cycle, len(spg_list)])\n                args_list.append((spg_list[id1:id2],\n                                 composition,\n                                 num_wp,\n                                 num_fu,\n                                 num_dof))\n\n            # collect the results\n            with ProcessPoolExecutor(max_workers=ncpu) as executor:\n                results = [executor.submit(generate_wp_lib_par, *p)\n                           for p in args_list]\n                for result in results:\n                    (spgs, wp_libs) = result.result()\n                    for spg, wp_lib in zip(spgs, wp_libs[0]):\n                        wp_lib = process_wp_lib(spg, wp_lib)\n                        wp_libs_total.extend(wp_lib)\n\n        return sorted(wp_libs_total)\n\n    def get_wp_libs_from_xtals(self, db_file=None,\n                               num_wp=(None, None),\n                               num_dof=(1, 20),\n                               num_atoms=[1, 500]):\n        \"\"\"\n        For each struc in the database, get the (spg, wp) info\n\n        Args:\n            df_file (str): database file\n            num_wp (int): tuple of (min_wp, max_wp)\n            num_dof (int): tuple of (min_dof, max_dof)\n            num_atoms (int): tuple of (min_at, max_at)\n        \"\"\"\n\n        (min_dof, max_dof) = num_dof\n        (min_wp, max_wp) = num_wp\n        (min_at, max_at) = num_atoms\n        if min_wp is None:\n            min_wp = len(self.composition)\n        if max_wp is None:\n            max_wp = max([min_wp, len(self.composition)])\n\n        wp_libs_total = []\n        if db_file is not None:\n            strs = \"====Loading the structures from {:}\".format(db_file)\n            print(\"\\n\", strs)\n            self.logging.info(strs)\n\n            with connect(db_file) as db:\n                for row in db.select():\n                    atoms = db.get_atoms(row.id)\n                    if min_at <= len(atoms) <= max_at:\n                        xtal = pyxtal()\n                        xtal.from_seed(atoms, tol=0.1)\n                        if min_wp <= len(xtal.atom_sites) <= max_wp and \\\n                                min_dof <= xtal.get_dof() <= max_dof and \\\n                                xtal.check_validity(self.criteria):\n                            t0 = time()\n                            sim0 = self.get_similarity(xtal)\n                            dicts = {'sim': \"0 => {:6.3f}\".format(sim0)}\n                            strs = xtal.get_xtal_string(dicts)\n                            print(strs, \"{:.6f}\".format(time()-t0))\n                            spg, wps, dof = self.get_input_from_ref_xtal(xtal)\n                            wp_libs_total.append(\n                                (sum(xtal.numIons), spg, wps, dof))\n\n        return sorted(wp_libs_total)\n\n    def import_structures(self, db_file, ids=(None, None),\n                          check=True, same_group=True,\n                          spglist=range(1, 231), bounds=[1, 500],\n                          relax=True,\n                          ):\n        \"\"\"\n        Import the structures from the external ase database\n\n        Args:\n            db_file (str): ase database\n            check (boolean): whether or not\n            spglist (int): list of spg numbers\n            bounds: number of atoms\n            energy (boolean): add energy or not\n        \"\"\"\n        [lb, ub] = bounds\n        count = 0\n        strs = \"====Loading the structures from {:}\".format(db_file)\n        print(\"\\n\", strs)\n        self.logging.info(strs)\n        with connect(db_file) as db:\n            (min_id, max_id) = ids\n            if min_id is None:\n                min_id = 1\n            if max_id is None:\n                max_id = db.count() + 100000\n            for row in db.select():\n                if min_id <= row.id <= max_id:\n                    atoms = row.toatoms()\n                    xtal = pyxtal()\n                    try:\n                        xtal.from_seed(atoms, tol=0.1)\n                        if lb <= len(atoms) <= ub and xtal.group.number in spglist:\n                            status = True\n                        else:\n                            status = False\n                    except:\n                        print(\"Error in loading structure\")\n                        status = False\n\n                    # Check structures\n                    if status:\n                        # Relax the structure\n                        if relax:\n                            xtal, sim, _ = self.optimize_xtal(\n                                xtal, add_db=False)\n\n                        if xtal is not None:\n                            energy = row.ff_energy if hasattr(\n                                row, 'ff_energy') else None\n                            topology = row.topology if hasattr(\n                                row, 'topology') else None\n                            self.process_xtal(xtal, [0, sim], count,\n                                              energy=energy,\n                                              topology=topology,\n                                              same_group=same_group)\n                            count += 1\n\n    def process_xtal(self, xtal, sim, count=0, xs=None, energy=None,\n                     topology=None, same_group=True, db=None, check=False):\n        \"\"\"\n        Check, print and add xtal to the database\n\n        Args:\n            xtal: pyxtal object\n            sim: list of two similarity numbers\n            count (int): id of the structure in the database\n            xs (tuple): list of reps before and after optimization\n            energy (float): the energy value\n            same_group (bool): keep the same group or not\n            db (str): db path\n            check (bool): whether or not check if the structure is a duplicate\n        \"\"\"\n        if db is None:\n            db = self.db\n        if check:\n            status = db.check_new_structure(xtal, same_group)\n        else:\n            status = True\n        header = \"{:4d}\".format(count)\n        dicts = {'energy': energy,\n                 'status': status,\n                 'sim': \"{:12.3f} => {:6.3f}\".format(sim[0], sim[1])\n                 }\n        strs = xtal.get_xtal_string(dicts, header)\n        print(strs)\n        self.logging.info(strs)\n        kvp = {\n            'similarity0': sim[0],\n            'similarity': sim[1],\n        }\n        if xs is not None:\n            kvp['x_init'] = np.array2string(xs[0])\n            kvp['x_opt'] = np.array2string(xs[1])\n        if energy is not None:\n            kvp['ff_energy'] = energy\n        if topology is not None:\n            kvp['topology'] = topology\n        if status:\n            db.add_xtal(xtal, kvp)\n\n\n\"\"\"\nCustom step-function for basin hopping optimization\n\"\"\"\n\n\nclass RandomDispBounds(object):\n    \"\"\"\n    random displacement with bounds:\n    see: https://stackoverflow.com/a/21967888/2320035\n    \"\"\"\n\n    def __init__(self, xmin, xmax, id1, id2, stepsize=0.1, dumpfile=None):\n        self.xmin = xmin  # bound_min\n        self.xmax = xmax  # bound_max\n        self.id1 = id1\n        self.id2 = id2\n        self.stepsize = stepsize\n        self.dumpfile = dumpfile\n\n    def __call__(self, x):\n        \"\"\"\n        Move the step proportionally within the bound\n        \"\"\"\n        # To strongly rebounce the values hitting the wall\n        for i in range(self.id2):\n            if abs(x[i] - self.xmax[i]) < 0.1:\n                # print(\"To strongly rebounce max values\", x[i], self.xmax[i])\n                x[i] *= 0.5\n            elif abs(x[i] - self.xmin[i]) < 0.1:\n                # print(\"To strongly rebounce min values\", x[i], self.xmin[i])\n                x[i] *= 2.0\n\n        random_step = np.random.uniform(low=-self.stepsize,\n                                        high=self.stepsize,\n                                        size=x.shape)\n        xnew = x + random_step\n        # Cell\n        coefs = 1+0.2*(np.random.sample(self.id2)-0.5)\n        xnew[:self.id2] *= coefs\n\n        # xyz\n        xnew[self.id1:] -= np.floor(xnew[self.id1:])\n        # xnew = np.maximum(self.xmin, xnew)\n        # xnew = np.minimum(self.xmax, xnew)\n\n        # Randomly introduce compression to prevent non-pd xtal\n        if np.random.random() < 0.5:\n            id = np.argmax(xnew[:self.id2])\n            xnew[id] *= 0.8\n        xnew = np.maximum(self.xmin, xnew)\n        xnew = np.minimum(self.xmax, xnew)\n\n        # min_step = np.maximum(self.xmin - x, -self.stepsize)\n        # max_step = np.minimum(self.xmax - x, self.stepsize)\n        # random_step = np.random.uniform(low=min_step, high=max_step, size=x.shape)\n        # xnew = x + random_step\n        if self.dumpfile is not None:\n            with open(self.dumpfile, 'a+') as f0:\n                # Initial value\n                strs = 'Init: {:9.3f} '.format(10.0)\n                for x0 in xnew:\n                    strs += '{:8.4f} '.format(x0)\n                strs += '\\n'\n                f0.write(strs)\n\n        return xnew\n\n\nif __name__ == \"__main__\":\n\n    xtal = pyxtal()\n    xtal.from_spg_wps_rep(194, ['2c', '2b'], [2.46, 6.70])\n    cif_file = xtal.to_pymatgen()\n    bu = builder(['C'], [1], db_file='reaxff.db',\n                          verbose=False)  # True)\n    bu.set_descriptor_calculator(mykwargs={'rcut': 1.9})\n    bu.set_reference_enviroments(cif_file)\n    bu.set_criteria(CN={'C': [3]})\n    print(bu)\n    print(bu.ref_xtal)\n    if False:\n        wp_libs = bu.get_wp_libs_from_spglist([191, 179], ncpu=1)\n        for wp_lib in wp_libs[:4]:\n            print(wp_lib)\n        bu.generate_xtals_from_wp_libs(wp_libs[4:8], ncpu=2, N_max=4, early_quit=0.05)\n\n    if False:\n        spg, wps = 179, ['6a', '6a', '6a', '6a']\n        xtals = []\n        for x in [\n            # [ 9.6244, 2.5459, 0.1749, 0.7701, 0.4501, 0.6114],\n            # [15.0223, 1.5013, 0.8951, 0.6298, 0.4530, 0.1876],\n            # [10.0129, 2.6424, 0.3331, 0.7246, 0.4719, 0.8628],\n            # [10.2520, 3.1457, 0.2367, 0.6994, 0.2522, 0.6533],\n            # [ 9.3994,   2.5525,   0.3072,   0.8414,   0.3480,   0.9638],\n            [11.1120,   2.6428,   0.2973,   0.7513,   0.4236,   0.8777],\n            [7.9522,   2.6057,   0.5922,   0.9268,   0.6081,   0.3077],\n        ]:\n            xtal = pyxtal()\n            xtal.from_spg_wps_rep(spg, wps, x, ['C']*len(wps))\n            xtals.append(xtal)\n            bu.optimize_xtal(xtal)\n        bu.optimize_xtals(xtals)\n"
  },
  {
    "path": "pyxtal/lego/util.py",
    "content": "import numpy as np\nfrom pyxtal.symmetry import Group\nfrom pyxtal import pyxtal\n\ndef get_input_from_letters(spg, sites, dim=3):\n    \"\"\"\n    Prepare the input from letters\n\n    Args:\n        spg (int): 1-230\n        sites (list): [['4a'], ['4b']] or [[0], [1]]\n        dim (int): 0, 1, 2, 3\n\n    Returns:\n        space group instance + wp_list + dof\n    \"\"\"\n    g = Group(spg, dim=dim)\n    wp_combo = []\n    dof = g.get_lattice_dof()\n    for site in sites:\n        wp_specie = []\n        for s in site:\n            if type(s) in [int, np.int64]:\n                wp = g[s]\n            else:\n                wp = g.get_wyckoff_position(s)\n            wp_specie.append(wp)\n            dof += wp.get_dof()\n        wp_combo.append(wp_specie)\n    return g, wp_combo, dof\n\ndef create_trajectory(dumpfile, trjfile, modes=['Init', 'Iter'], dim=3):\n    \"\"\"\n    create the ase trajectory from the dump file.\n    This is used to analyze the performance of structure optimization\n    \"\"\"\n\n    from ase.io import write\n\n    keyword_start = 'Space Group'  # \\n'\n    keyword_end = 'END'  # \\n'\n\n    with open(dumpfile, 'r') as f:\n        lines = f.readlines()\n        starts, ends = [], []\n        for i in range(len(lines)):\n            l = lines[i].lstrip()\n            if l.startswith(keyword_start):\n                starts.append(i)\n            elif l.startswith(keyword_end):\n                ends.append(i)\n    # print(len(starts), len(ends))\n    assert (len(starts) == len(ends))\n\n    atoms = []\n    for i, j in zip(starts, ends):\n        # parse each run\n        xtal_strs = lines[i:j]\n        spg = int(xtal_strs[0].split(':')[1])\n        l_type = Group(spg).lattice_type\n        elements = []\n        numIons = []\n        wps = []\n        for count, tmp in enumerate(xtal_strs[1:]):\n            if tmp.startswith('Element'):\n                tmp1 = tmp.split(':')\n                tmp2 = tmp1[1].split()\n                elements.append(tmp2[0])\n                numIons.append(int(tmp2[1]))\n                wps.append(tmp2[2:])\n            else:\n                line_struc = count + 1\n                break\n\n        # print(spg, elements, numIons, wps)\n        g, wps, dof = get_input_from_letters(spg, wps, dim)\n        for line_number in range(line_struc, len(xtal_strs)):\n            tmp0 = xtal_strs[line_number].split(':')\n            tag = tmp0[0]\n            if tag in modes:\n                tmp = tmp0[1].split()\n                sim = float(tmp[0])\n                x = [float(t) for t in tmp[1:]]\n\n                # QZ: to fix\n                xtal = pyxtal()\n                xtal.from_1d_rep(x, wps, numIons, l_type, elements, dim)\n\n                struc = xtal.to_ase()\n                struc.info = {'time': line_number-line_struc, 'fun': sim}\n                atoms.append(struc)\n                # print(xtal.lattice)\n        write(filename=trjfile, images=atoms, format='extxyz')\n\n\ndef calculate_dSdx(x, xtal, des_ref, f, eps=1e-4, symmetry=True, verbose=False):\n    \"\"\"\n    Compute dSdx via the chain rule of dSdr*drdx.\n    This routine will serve as the jacobian for scipy.minimize\n\n    Args:\n        x (float): input variable array to describe a crystal structure\n        xtal (instance): pyxtal object\n        des_ref (array): reference environment\n        f (callable): function to compute the environment\n        symmetry (bool): whether or not turn on symmetry\n        verbose (bool): output more information\n    \"\"\"\n    xtal.update_from_1d_rep(x)\n    ids = [0]\n    weights = []\n    for site in xtal.atom_sites:\n        ids.append(site.wp.multiplicity + ids[-1])\n        weights.append(site.wp.multiplicity)\n    ids = ids[:-1]\n    weights = np.array(weights, dtype=float)\n    atoms = xtal.to_ase()\n    dPdr, P = f.compute_dpdr_5d(atoms, ids)\n    dPdr = np.einsum('i, ijklm -> ijklm', weights, dPdr)\n\n    # Compute dSdr [N, M] [N, N, M, 3, 27] => [N, 3, 27]\n    # print(P.shape, des_ref.shape, dPdr.shape)\n    dSdr = np.einsum(\"ik, ijklm -> jlm\", 2*(P - des_ref), dPdr)\n\n    # Get supercell positions\n    ref_pos = np.repeat(atoms.positions[:, :, np.newaxis], 27, axis=2)\n    cell_shifts = np.dot(VECTORS, atoms.cell)\n    ref_pos += cell_shifts.T[np.newaxis, :, :]\n\n    # Compute drdx via numerical func\n    drdx = np.zeros([len(atoms), 3, 27, len(x)])\n\n    xtal0 = xtal.copy()\n    for i in range(len(x)):\n        x0 = x.copy()\n        x0[i] += eps\n        # Maybe expensive Reduce calls, just need positions\n        xtal0.update_from_1d_rep(x0)\n        atoms = xtal0.to_ase()\n\n        # Get supercell positions\n        pos = np.repeat(atoms.positions[:, :, np.newaxis], 27, axis=2)\n        cell_shifts = np.dot(VECTORS, atoms.cell)\n        pos += cell_shifts.T[np.newaxis, :, :]\n        drdx[:, :, :, i] += (pos - ref_pos)/eps\n\n    # [N, 3, 27] [N, 3, 27, H] => H\n    dSdx = np.einsum(\"ijk, ijkl -> l\", dSdr, drdx)\n    return dSdx\n\ndef calculate_S(x, xtal, des_ref, f, return_rdf=False):\n    \"\"\"\n    Optimization function used for structure generation\n\n    Args:\n        x (float): input variable array to describe a crystal structure\n        xtal (instance): pyxtal object\n        des_ref: reference environment\n        f (callable): function to compute the enivronment\n        return_rdf (bool): whether to return the radial distribution function\n\n    Returns:\n        obj (float): objective function value\n    \"\"\"\n    if xtal.lattice is None:\n        des = np.zeros(des_ref.shape)\n        weights = 1\n    else:\n        xtal.update_from_1d_rep(x)  # ; print(xtal)\n        if xtal.lattice is not None:\n            ids = [0]\n            weights = []\n            for site in xtal.atom_sites:\n                ids.append(site.wp.multiplicity + ids[-1])\n                weights.append(site.wp.multiplicity)\n            ids = ids[:-1]\n            weights = np.array(weights, dtype=float)\n            atoms = xtal.to_ase(resort=False)\n            #des = f.calculate(atoms)['x'][ids]\n            des = f.compute_p(atoms, ids, return_rdf=return_rdf)\n        else:\n            des = np.zeros(des_ref.shape)\n            weights = 1\n\n    sim = np.sum((des-des_ref)**2, axis=1)  # /des.shape[1]\n    #if ref_CN is not None:\n    #    coefs = CNs[:, 1] - ref_CN\n    #    coefs[coefs < 0] = 0\n    #    penalty = coefs * (f.rcut + 0.01 - CNs[:, 0])\n    #    if penalty.sum() > 0: print('debug', penalty.sum(), x[:3])\n    #    sim += 5 * coefs * penalty\n    obj = np.sum(sim * weights) / sum(xtal.numIons)\n    #print(des-des_ref); print(sim); print(obj)#; import sys; sys.exit()\n    return obj\n"
  },
  {
    "path": "pyxtal/miscellaneous/2datomic.py",
    "content": "\"\"\"\nScript to test the functionality of random_crystal_2D. For each layer\ngroup (between 1 and 80), generates a 2d atomic crystal with the given\nparameters. Most of the command line options for molecular_crystal.py\nare also present here, with the addition of -t for the thickness of the\ncell. For each layer group, the number of atoms used to generate the\ncrystal is equal to the multiplicity of the general position.\n\"\"\"\n\nif __name__ == \"__main__\":\n    # -------------------------------- Options -------------------------\n    from time import time\n\n    from pyxtal.crystal import *\n    from pyxtal.database.layergroup import Layergroup\n\n    parser = OptionParser()\n    parser.add_option(\n        \"-e\",\n        \"--atoms\",\n        dest=\"atoms\",\n        default=\"C\",\n        help=\"desired atoms: e.g., C\",\n        metavar=\"atoms\",\n    )\n    parser.add_option(\n        \"-n\",\n        \"--numions\",\n        dest=\"numions\",\n        default=12,\n        help=\"desired numbers of ions: 12\",\n        metavar=\"numions\",\n    )\n    parser.add_option(\n        \"-t\",\n        \"--thickness\",\n        dest=\"thickness\",\n        default=3.0,\n        type=float,\n        help=\"volume factor: default 1.0\",\n        metavar=\"thickness\",\n    )\n    parser.add_option(\n        \"-f\",\n        \"--factor\",\n        dest=\"factor\",\n        default=4.0,\n        type=float,\n        help=\"volume factor: default 1.0\",\n        metavar=\"factor\",\n    )\n    parser.add_option(\n        \"-v\",\n        \"--verbosity\",\n        dest=\"verbosity\",\n        default=0,\n        type=int,\n        help=\"verbosity: default 0; higher values print more information\",\n        metavar=\"verbosity\",\n    )\n    parser.add_option(\n        \"-a\",\n        \"--attempts\",\n        dest=\"attempts\",\n        default=1,\n        type=int,\n        help=\"number of crystals to generate: default 1\",\n        metavar=\"attempts\",\n    )\n\n    (options, args) = parser.parse_args()\n    atoms = options.atoms\n    number = options.numions\n    verbosity = options.verbosity\n    attempts = options.attempts\n\n    numions = []\n    if atoms.find(\",\") > 0:\n        strings = atoms.split(\",\")\n        system = []\n        for atom in strings:\n            system.append(atom)\n        for x in number.split(\",\"):\n            numions.append(int(x))\n    else:\n        system = [atoms]\n        numions = [int(number)]\n\n    # Layergroup numbers to test\n    numrange = list(range(1, 81))\n\n    for num in numrange:\n        print(\"---------------Layergroup \" + str(num) + \"---------------\")\n        for _i in range(attempts):\n            start = time()\n            sg = Layergroup(num).sgnumber\n            multiplicity = len(get_wyckoffs(sg)[0])  # multiplicity of the general position\n            rand_crystal = random_crystal_2D(num, system, [multiplicity], options.thickness, options.factor)\n            end = time()\n            timespent = np.around((end - start), decimals=2)\n            if rand_crystal.valid:\n                # spglib style structure called cell\n                ans = get_symmetry_dataset(rand_crystal.spg_struct, symprec=1e-1)\n                sg = Layergroup(num).sgnumber\n                if ans is not None:\n                    print(\n                        \"Space group requested: \" + str(sg) + \" generated\",\n                        ans[\"number\"],\n                        \"vol: \",\n                        rand_crystal.volume,\n                    )\n                else:\n                    print(\"Space group requested: \" + str(sg) + \" Could not calculate generated\")\n\n                # Print additional information about the structure\n                if verbosity > 0:\n                    print(\"Time required for generation: \" + str(timespent) + \"s\")\n                    print(rand_crystal.struct)\n\n            # If generation fails\n            else:\n                print(\"something is wrong\")\n                print(\"Time spent during generation attempt: \" + str(timespent) + \"s\")\n"
  },
  {
    "path": "pyxtal/miscellaneous/2dmolecular.py",
    "content": "\"\"\"\nScript to test the functionality of molecular_crystal_2D. For each layer group\n(between 1 and 80), generates a 2d molecular crystal with the given parameters.\nMost of the command line options for molecular_crystal.py are also present here,\nwith the addition of -t for the thickness of the cell. For each layer group, the\nnumber of molecules used to generate the crystal is equal to the multiplicity\nof the general position.\n\"\"\"\n\nif __name__ == \"__main__\":\n    # -------------------------------- Options -------------------------\n    from pyxtal.database.layergroup import Layergroup\n    from pyxtal.molecular_crystal import *\n\n    parser = OptionParser()\n    parser.add_option(\n        \"-e\",\n        \"--molecule\",\n        dest=\"molecule\",\n        default=\"H2O\",\n        help=\"desired molecules: e.g., H2O\",\n        metavar=\"molecule\",\n    )\n    parser.add_option(\n        \"-n\",\n        \"--numMols\",\n        dest=\"numMols\",\n        default=12,\n        help=\"desired numbers of molecules: 12\",\n        metavar=\"numMols\",\n    )\n    parser.add_option(\n        \"-t\",\n        \"--thickness\",\n        dest=\"thickness\",\n        default=3.0,\n        type=float,\n        help=\"volume factor: default 3.0\",\n        metavar=\"thickness\",\n    )\n    parser.add_option(\n        \"-f\",\n        \"--factor\",\n        dest=\"factor\",\n        default=1.0,\n        type=float,\n        help=\"volume factor: default 1.0\",\n        metavar=\"factor\",\n    )\n    parser.add_option(\n        \"-v\",\n        \"--verbosity\",\n        dest=\"verbosity\",\n        default=0,\n        type=int,\n        help=\"verbosity: default 0; higher values print more information\",\n        metavar=\"verbosity\",\n    )\n    parser.add_option(\n        \"-a\",\n        \"--attempts\",\n        dest=\"attempts\",\n        default=1,\n        type=int,\n        help=\"number of crystals to generate: default 1\",\n        metavar=\"attempts\",\n    )\n    parser.add_option(\n        \"-o\",\n        \"--outdir\",\n        dest=\"outdir\",\n        default=\"out\",\n        type=str,\n        help=\"Directory for storing output cif files: default 'out'\",\n        metavar=\"outdir\",\n    )\n    parser.add_option(\n        \"-c\",\n        \"--checkatoms\",\n        dest=\"checkatoms\",\n        default=\"True\",\n        type=str,\n        help=\"Whether to check inter-atomic distances at each step: default True\",\n        metavar=\"outdir\",\n    )\n    parser.add_option(\n        \"-i\",\n        \"--allowinversion\",\n        dest=\"allowinversion\",\n        default=\"False\",\n        type=str,\n        help=\"Whether to allow inversion of chiral molecules: default False\",\n        metavar=\"outdir\",\n    )\n\n    (options, args) = parser.parse_args()\n    molecule = options.molecule\n    number = options.numMols\n    verbosity = options.verbosity\n    attempts = options.attempts\n    outdir = options.outdir\n    if options.checkatoms == \"True\" or options.checkatoms == \"False\":\n        checkatoms = eval(options.checkatoms)\n    else:\n        print(\"Invalid value for -c (--checkatoms): must be 'True' or 'False'.\")\n        checkatoms = True\n    if options.allowinversion == \"True\" or options.allowinversion == \"False\":\n        allowinversion = eval(options.allowinversion)\n    else:\n        print(\"Invalid value for -i (--allowinversion): must be 'True' or 'False'.\")\n        allowinversion = False\n\n    numMols = []\n    if molecule.find(\",\") > 0:\n        strings = molecule.split(\",\")\n        system = []\n        for mol in strings:\n            system.append(mol_from_collection(mol))\n        for x in number.split(\",\"):\n            numMols.append(int(x))\n    else:\n        system = [mol_from_collection(molecule)]\n        numMols = [int(number)]\n    orientations = None\n\n    # Layergroup numbers to test\n    numrange = list(range(1, 81))\n\n    for num in numrange:\n        print(\"---------------Layergroup \" + str(num) + \"---------------\")\n        for _i in range(attempts):\n            start = time()\n            sg = Layergroup(num).sgnumber\n            multiplicity = len(get_wyckoffs(sg)[0])  # multiplicity of the general position\n            numMols0 = np.array(numMols)\n            rand_crystal = molecular_crystal_2D(\n                num,\n                system,\n                [multiplicity],\n                options.thickness,\n                options.factor,\n                orientations=orientations,\n                check_atomic_distances=checkatoms,\n                allow_inversion=allowinversion,\n            )\n            end = time()\n            timespent = np.around((end - start), decimals=2)\n            if rand_crystal.valid:\n                \"\"\"written = False\n                try:\n                    mkdir(outdir)\n                except: pass\n                try:\n                    comp = str(rand_crystal.struct.composition)\n                    comp = comp.replace(\" \", \"\")\n                    cifpath = outdir + '/' + comp + \"_\" + str(i+1) + '.cif'\n                    CifWriter(rand_crystal.struct, symprec=0.1).write_file(filename = cifpath)\n                    written = True\n                except: pass\"\"\"\n\n                # spglib style structure called cell\n                ans = get_symmetry_dataset(rand_crystal.spg_struct, symprec=1e-1)\n                sg = Layergroup(num).sgnumber\n                if ans is not None:\n                    print(\n                        \"Space group requested: \" + str(sg) + \" generated\",\n                        ans[\"number\"],\n                        \"vol: \",\n                        rand_crystal.volume,\n                    )\n                else:\n                    print(\"Space group requested: \" + str(sg) + \" Could not calculate generated.***********\")\n                \"\"\"if written is True:\n                    print(\"    Output to \"+cifpath)\n                else:\n                    print(\"    Could not write cif file.\")\"\"\"\n\n                # Print additional information about the structure\n                if verbosity > 0:\n                    print(\"Time required for generation: \" + str(timespent) + \"s\")\n                    print(\"Molecular Wyckoff positions:\")\n                    for ms in rand_crystal.mol_generators:\n                        print(\n                            str(ms.mol.composition)\n                            + \": \"\n                            + str(ms.multiplicity)\n                            + str(ms.letter)\n                            + \" \"\n                            + str(ms.position)\n                        )\n                if verbosity > 1:\n                    print(rand_crystal.struct)\n\n            # If generation fails\n            else:\n                print(\"something is wrong\")\n                print(\"Time spent during generation attempt: \" + str(timespent) + \"s\")\n"
  },
  {
    "path": "pyxtal/miscellaneous/LJ_bug.py",
    "content": "import sys\nimport warnings\nfrom copy import deepcopy\nfrom optparse import OptionParser\nfrom time import time\n\nimport matplotlib.pyplot as plt\nimport numpy as np\nfrom pymatgen.core import Molecule\nfrom scipy.optimize import minimize\nfrom scipy.spatial.distance import cdist, pdist\n\nfrom pyxtal.crystal import random_cluster\nfrom pyxtal.database.collection import Collection\nfrom pyxtal.molecule import PointGroupAnalyzer\n\nplt.style.use(\"bmh\")\nwarnings.filterwarnings(\"ignore\")\n\n\"\"\"\nThis is a script to\n1, generate random clusters\n2, perform optimization\n\"\"\"\n\n\ndef LJ(pos, dim, method=1, mu=0.1):\n    \"\"\"\n    Calculate the total energy\n    Args:\n    pos: 1D array with N*dim numbers representing the atomic positions\n    dim: dimension of the hyper/normal space\n    output\n    E: the total energy with punishing function\n    \"\"\"\n    N_atom = int(len(pos) / dim)\n    pos = np.reshape(pos, (N_atom, dim))\n\n    distance = pdist(pos)\n    r6 = np.power(distance, 6)\n    r12 = np.multiply(r6, r6)\n    Eng = np.sum(4 * (1 / r12 - 1 / r6))\n\n    if dim > 3:\n        norm = 0\n        for i in range(3, dim):\n            diff = pos[:, i] if method == 1 else pos[:, i] - np.mean(pos[:, i])\n            norm += np.sum(np.multiply(diff, diff))\n        Eng += 0.5 * mu * norm\n    return Eng\n\n\ndef LJ_force(pos, dim, method=1, mu=0.1):\n    N_atom = int(len(pos) / dim)\n    pos = np.reshape(pos, [N_atom, dim])\n    force = np.zeros([N_atom, dim])\n    for i, pos0 in enumerate(pos):\n        pos1 = deepcopy(pos)\n        pos1 = np.delete(pos1, i, 0)\n        distance = cdist([pos0], pos1)\n        r = pos1 - pos0\n        r2 = np.power(distance, 2)\n        r6 = np.power(r2, 3)\n        r12 = np.power(r6, 2)\n        force[i] = np.dot((48 / r12 - 24 / r6) / r2, r)\n        # force from the punish function mu*sum([x-mean(x)]^2)\n        if dim > 3:\n            for j in range(3, dim):\n                if method == 1:\n                    force[i, j] += mu * pos[i, j]  # - np.mean(pos[:, j]))\n                else:\n                    force[i, j] += mu * (pos[i, j] - np.mean(pos[:, j]))\n    return force.flatten()\n\n\ndef single_optimize(pos, dim=3, method=1, mu=0.1):\n    \"\"\"\n    perform optimization for a given cluster\n    Args:\n    pos: N*dim0 array representing the atomic positions\n    dim: dimension of the hyper/normal space\n    kt: perturbation factors\n\n    output:\n    energy: optmized energy\n    pos: optimized positions\n    \"\"\"\n    N_atom = len(pos)\n    diff = dim - np.shape(pos)[1]\n    # if the input pos has less dimensions, we insert a random array for the extra dimension\n    # if the input pos has more dimensions, we delete the array for the extra dimension\n    if diff > 0:\n        # pos = np.hstack((pos, 0.5*(np.random.random([N_atom, diff])-0.5) ))\n        pos = np.hstack((pos, np.random.uniform(-1, 1, (N_atom, diff))))\n    elif diff < 0:\n        pos = pos[:, :dim]\n\n    pos = pos.flatten()\n    res = minimize(LJ, pos, args=(dim, method, mu), jac=LJ_force, method=\"CG\", tol=1e-3)\n    pos = np.reshape(res.x, (N_atom, dim))\n    energy = res.fun\n    return energy, pos\n\n\ndef hyper_optimize(pos, dim, method=1, mu=0.1):\n    \"\"\"\n    hyperspatial optimization\n    \"\"\"\n    [energy1, pos1] = single_optimize(pos, dim)\n\n    while True:\n        if dim == len(pos1[0]):\n            disp = np.random.uniform(-1.0, 1, (len(pos), dim))\n            pos2 = pos1 + disp\n            [energy3, pos3] = single_optimize(pos2, dim)\n        else:\n            [energy2, pos2] = single_optimize(pos1, dim, method, mu)\n            [energy3, pos3] = single_optimize(pos2, 3)\n\n        if energy3 - energy1 > 1e-4:\n            pos = pos1\n            break\n        else:\n            pos1 = pos3\n            energy1 = energy3\n    return energy1, pos1\n\n\ndef parse_symmetry(pos):\n    mol = Molecule([\"C\"] * len(pos), pos)\n    try:\n        symbol = PointGroupAnalyzer(mol, tolerance=0.1).sch_symbol\n    except:\n        symbol = \"N/A\"\n    return symbol\n\n\nclass LJ_prediction:\n    \"\"\"\n    A class to perform global optimization on LJ clusters\n    Args:\n\n    Attributes:\n\n    \"\"\"\n\n    def __init__(self, numIons, seed=None):\n        self.numIons = numIons\n        ref = Collection(\"clusters\")[str(numIons)]\n        print(\"\\nReference for LJ {:3d} is {:12.3f} eV, PG: {:4s}\".format(numIons, ref[\"energy\"], ref[\"pointgroup\"]))\n        self.reference = ref\n        self.time0 = time()\n        self.rng = np.random.default_rng(seed)\n\n    def generate_cluster(self, pgs=(2, 33)):\n        run = True\n        while run:\n            pg = self.rng.integers(*pgs)\n            cluster = random_cluster(pg, [\"Mo\"], [self.numIons], 1.0)\n            if cluster.valid:\n                run = False\n        return cluster.cart_coords\n\n    def predict(self, dim=3, maxN=100, ncpu=2, pgs=(2, 33), method=1):\n        print(f\"\\nPerforming random search at {dim:d}D space\\n\")\n        cycle = range(maxN)\n        if ncpu > 1:\n            from functools import partial\n            from multiprocessing import Pool\n\n            with Pool(ncpu) as p:\n                func = partial(self.relaxation, dim, pgs, method)\n                res = p.map(func, cycle)\n                p.close()\n                p.join()\n        else:\n            res = []\n            for i in cycle:\n                res.append(self.relaxation(dim, pgs, method, i))\n\n        N_success = 0\n        for dct in res:\n            if dct[\"ground\"]:\n                N_success += 1\n        print(f\"\\nHit the ground state {N_success:4d} times out of {maxN:4d} attempts\\n\")\n        return res\n\n    def relaxation(self, dim, pgs, method, ind):\n        pos = self.generate_cluster(pgs)\n        pg1 = parse_symmetry(pos)\n        print(\"initial geometry:\")\n        print(pos)\n        print(\"initial energy: \", LJ(pos.flatten(), 3))\n        if dim == 3:\n            [energy, pos] = single_optimize(pos, 3)\n            energy = [energy]\n        else:\n            [energy1, pos1] = single_optimize(pos, 3)\n            [energy2, pos2] = hyper_optimize(pos1, 3)\n            # [energy2, pos2] = hyper_optimize(pos1, dim, method=1, mu=0.1)\n            # [energy3, pos3] = hyper_optimize(pos1, dim, method=1, mu=0.2)\n            # [energy4, pos4] = hyper_optimize(pos1, dim, method=2, mu=0.1)\n            # [energy5, pos5] = hyper_optimize(pos1, dim, method=2, mu=0.2)\n            # [energy6, pos6] = hyper_optimize(pos1, 3)\n            energy = [energy1, energy2]  # , energy3, energy4, energy5, energy6]\n            pos = [pos1, pos2]  # , pos3, pos4, pos5, pos6]\n        if min(energy) - self.reference[\"energy\"] < 1e-3:\n            ground = True\n        elif min(energy) > -10:\n            print(\"high energy\" + str(energy) + \" after relaxation\")\n            print(pos1)\n            sys.exit()\n        else:\n            ground = False\n\n        pg2 = parse_symmetry(pos)\n        res = {\n            \"pos_init\": pos,\n            \"energy\": energy,\n            \"pg_init\": pg1,\n            \"pg_finial\": pg2,\n            \"ground\": ground,\n            \"id\": ind,\n        }\n\n        if ground:\n            print(\n                f\"ID: {ind:4d} PG initial: {pg1:4s} relaxed: {pg2:4s} Energy: {energy[-1]:12.3f} Time: {(time() - self.time0) / 60:6.1f} ++++++\"\n            )\n        elif ind % 2 == 0:\n            print(\n                f\"ID: {ind:4d} PG initial: {pg1:4s} relaxed: {pg2:4s} Energy: {energy[-1]:12.3f} Time: {(time() - self.time0) / 60:6.1f} \"\n            )\n        return res\n\n\nif __name__ == \"__main__\":\n    # -------------------------------- Options -------------------------\n    parser = OptionParser()\n    parser.add_option(\n        \"-d\",\n        \"--dimension\",\n        dest=\"dim\",\n        metavar=\"dim\",\n        default=3,\n        type=int,\n        help=\"dimension, 3 or higher\",\n    )\n    parser.add_option(\n        \"-n\",\n        \"--numIons\",\n        dest=\"numIons\",\n        default=16,\n        type=int,\n        help=\"desired numbers of atoms: 16\",\n    )\n    parser.add_option(\n        \"-m\",\n        \"--max\",\n        dest=\"max\",\n        default=100,\n        type=int,\n        help=\"maximum number of attempts\",\n    )\n    parser.add_option(\n        \"-p\",\n        \"--proc\",\n        dest=\"proc\",\n        default=1,\n        type=int,\n        help=\"number of processors, default 1\",\n    )\n    parser.add_option(\n        \"-f\",\n        \"--func\",\n        dest=\"func\",\n        default=1,\n        type=int,\n        help=\"penalty function, default 1: mu*r^2\",\n    )\n\n    (options, args) = parser.parse_args()\n\n    N = options.numIons  # 38\n    maxN = options.max  # 1000\n    dim = options.dim  # 4\n    ncpu = options.proc\n    method = options.func\n\n    lj_run = LJ_prediction(N)\n    eng_min = lj_run.reference[\"energy\"]\n    t0 = time()\n    results1 = lj_run.predict(dim=4, maxN=maxN, ncpu=ncpu, pgs=[1])\n    print(f\"time: {time() - t0:6.2f} seconds\")\n    engs = []\n    for dct in results1:\n        engs.append(dct[\"energy\"])\n    engs = np.array(engs)\n    for i in range(1, len(engs[0])):\n        print(\"method \" + str(i), np.mean(engs[:, i] - engs[:, 0]))\n    grounds = []\n    for i in range(len(engs[0])):\n        eng_tmp = engs[:, i]\n        grounds.append(len(eng_tmp[eng_tmp < (eng_min + 1e-3)]))\n"
  },
  {
    "path": "pyxtal/miscellaneous/RECP/dia.py",
    "content": "from pyxtal.reciprocal import RECP\nfrom pyxtal import pyxtal\nimport numpy as np\n\nxtal1 = pyxtal(); xtal1.from_prototype('diamond') #; xtal.to_file('dia.cif'); print(xtal)\nxtal2 = pyxtal(); xtal2.from_prototype('cBN');\nxtal3 = pyxtal(); xtal3.from_prototype('h-diamond') #; xtal.to_file('dia.cif'); print(xtal)\ndata = [(xtal1, 'dia'), (xtal2, 'cBN'), (xtal3, 'h-dia')]\nfor i in range(3, 5):\n    xtal = pyxtal()\n    xtal.from_seed(f'sub{i}.cif')\n    data.append((xtal, f'sub{i}'))\n\ndata0 = []\nrecp = RECP(dmax=10.0, nmax=20, lmax=8)\nfor i, (xtal, label) in enumerate(data):\n    d, rdf = recp.compute(xtal.to_ase(), norm=True)\n    if i > 0:\n        print(f\"{label:10s} : {np.linalg.norm(d - data0[0][0]):12.4f}\")\n    data0.append((d, rdf, label))\nrecp.plot(data0, filename='reciprocal_dia.png')\n"
  },
  {
    "path": "pyxtal/miscellaneous/RECP/test0.py",
    "content": "from pyxtal.reciprocal import RECP\nfrom pyxtal import pyxtal\nimport matplotlib.pyplot as plt\n\n# Use a modern style\nplt.style.use('seaborn-v0_8-darkgrid')\n\n# Customize plot appearance\nplt.rcParams.update({\n    #'font.family': 'serif',\n    'font.size': 14,\n    'axes.labelsize': 15,\n    'axes.titlesize': 15,\n    'legend.fontsize': 14,\n    'axes.grid': True,\n    'grid.alpha': 0.3,\n    'lines.linewidth': 2,\n    'figure.dpi': 300\n})\n\nrecp = RECP(dmax=10.0, nmax=10, lmax=10, rbasis='Bessel')\nprototypes = ['diamond',\n              'h-diamond',\n              #'graphite',\n              #'$\\alpha$-boron',\n              'a-quartz',\n              'b-quartz']\n\nfig, axs = plt.subplots(len(prototypes), 1, figsize=(6, 1.6*len(prototypes)))\ndata = []\nfor row, prototype in enumerate(prototypes):\n    xtal = pyxtal()\n    xtal.from_prototype(prototype)\n    p, rdf = recp.compute(xtal.to_ase(), norm=True)\n    # Plot p values\n    if prototype == 'a-quartz':\n        label = r'$\\alpha$-quartz'\n    elif prototype == 'b-quartz':\n        label = r'$\\beta$-quartz'\n    else:\n        label = prototype\n    label += f\" ({xtal.group.number}, {xtal.group.symbol})\"\n    axs[row].plot(p, label=label)\n    axs[row].legend(loc=1)\n    axs[row].set_ylabel('$P_{nl}$')\n\n    if row == len(prototypes) - 1:\n        axs[row].set_xlabel('Power Spectrum Index')\n    else:\n        axs[row].set_xticklabels([])\n    axs[row].set_ylim(0, 1.0)\nplt.tight_layout()\nplt.savefig('p-demo.png', dpi=300)\nplt.close()\n"
  },
  {
    "path": "pyxtal/miscellaneous/RECP/test1.py",
    "content": "from pyxtal import pyxtal\nfrom pyxtal.reciprocal import RECP\nimport matplotlib.pyplot as plt\nimport numpy as np\nnp.random.seed(42)\n\n# Use a modern style\nplt.style.use('seaborn-v0_8-darkgrid')\n\n# Customize plot appearance\nplt.rcParams.update({\n    #'font.family': 'serif',\n    'font.size': 12,\n    'axes.labelsize': 14,\n    'axes.titlesize': 14,\n    'legend.fontsize': 12,\n    'axes.grid': True,\n    'grid.alpha': 0.3,\n    'lines.linewidth': 2,\n    'figure.dpi': 300\n})\n\ndata = [(227, ['8a'], [3.567]),\n        (216, ['4a', '4d'], [3.567]),\n        (210, ['8b'], [3.567]),\n        (203, ['8a'], [3.567]),\n        (166, ['6c'], [2.522, 6.178, 0.125]),\n        (141, ['4a'], [2.522, 3.567]),\n        (122, ['4b'], [2.522, 3.567]),\n        (119, ['2b', '2d'], [2.522, 3.567]),\n        (109, ['4a'], [2.522, 3.567, 0.875]),\n        (98, ['4b'], [2.522, 3.567]),\n        (88, ['4a'], [2.522, 3.567], ),\n        #(74, ['4e'], [2.522, 2.522, 3.567, 0.875]),\n        (70, ['8a'], [3.567, 3.567, 3.567])]\n\ndata0 = []\nrecp = RECP(dmax=10.0, nmax=10, lmax=10, rbasis='Bessel')\n\n\nxtal = pyxtal()\nxtal.from_prototype('diamond')\nxtal_sub = xtal.subgroup_once(H=141, eps=0)\n\nfig, axs = plt.subplots(3, 2, figsize=(12, 7.5))\nfor row, eps in enumerate([0, 0.02, 0.05]):\n    data1 = []\n    for i, d in enumerate(data):\n        if i == 0:\n            xtal0 = xtal.copy()\n        else:\n            xtal0 = xtal.subgroup_once(H=d[0], eps=eps)\n        if xtal0 is not None:\n            p, rdf = recp.compute(xtal0.to_ase(), norm=True)\n        else:\n            xtal0 = xtal_sub.subgroup_once(H=d[0], eps=eps)\n            if xtal0 is None:\n                print('problem', d[0]); import sys; sys.exit()\n            p, rdf = recp.compute(xtal0.to_ase(), norm=True)\n        data1.append((p, rdf, f'{xtal0.group.number}'))\n\n    # Plot p values\n    axs[row, 0].set_title(f'$P$ (noise={eps})', y=0.80, x=0.05, loc='left')\n    for p, _, label in data1:\n        axs[row, 0].plot(p, label=label, alpha=0.5, lw=1.0)\n\n\n    axs[row, 0].set_ylabel('$P_{nl}$')\n    if row == 2:\n        axs[row, 0].set_xlabel('Power Spectrum Index')\n\n    # Plot rdf values\n    axs[row, 1].set_title(f'$G$ (noise={eps})', y=0.80, x=0.05, loc='left')\n    for _, rdf, label in data1:\n        axs[row, 1].plot(rdf, label=label, alpha=0.5, lw=1.0)\n    if row == 2:\n        axs[row, 1].set_xlabel(r'$d$ ($\\mathrm{\\AA}^{-1}$)')\n    else:\n        axs[row, 0].set_xticklabels([])\n        axs[row, 1].set_xticklabels([])\n\n    axs[row, 1].set_ylabel('$G(d)$')\n    if row == 0: axs[row, 1].legend(ncol=2, loc='upper right')\n\nplt.tight_layout()\nplt.savefig('test1-diamond.png')\nplt.close()\n\n\n\n"
  },
  {
    "path": "pyxtal/miscellaneous/Random_vasp_ase.py",
    "content": "import os\nimport time\nimport warnings\n\nimport numpy as np\nfrom ase import Atoms\nfrom ase.calculators.vasp import Vasp\nfrom ase.io import read\nfrom pymatgen.core.structure import Structure\nfrom pymatgen.symmetry.analyzer import SpacegroupAnalyzer\nfrom spglib import get_symmetry_dataset\nfrom structure import random_crystal\nfrom vasprun import vasprun\n\nwarnings.filterwarnings(\"ignore\")\n\n\"\"\"\nThis is a script to generate random crystals\nand then perform multiple steps of optimization with ASE-VASP\ntodo: add timing function to estimate the time cost for each structure\n\"\"\"\n# Test paramaters: [sg_min, sg_max], [species], [numIons]\npstress = 0.0\nmaxvec = 25.0\nminvec = 2.5\nmaxangle = 150\nminangle = 30\nrandom_state = np.random.default_rng()\nsetup = None\n\n\ndef pymatgen2ase(struc):\n    atoms = Atoms(symbols=struc.atomic_numbers, cell=struc.lattice.matrix)\n    atoms.set_scaled_positions(struc.frac_coords)\n    return atoms\n\n\ndef ase2pymatgen(struc):\n    lattice = struc._cell\n    coordinates = struc.get_scaled_positions()\n    species = struc.get_chemical_symbols()\n    return Structure(lattice, species, coordinates)\n\n\ndef symmetrize_cell(struc, mode=\"C\"):\n    \"\"\"\n    symmetrize structure from pymatgen, and return the struc in conventional/primitive setting\n    Args:\n    struc: ase type\n    mode: output conventional or primitive cell\n    \"\"\"\n    P_struc = ase2pymatgen(struc)\n    finder = SpacegroupAnalyzer(P_struc, symprec=0.06, angle_tolerance=5)\n    P_struc = finder.get_conventional_standard_structure() if mode == \"C\" else finder.get_primitive_standard_structure()\n\n    return pymatgen2ase(P_struc)\n\n\ndef set_vasp(level=0, pstress=0.0000, setup=None):\n    default0 = {\n        \"xc\": \"pbe\",\n        \"npar\": 8,\n        \"kgamma\": True,\n        \"lcharg\": False,\n        \"lwave\": False,\n        \"ibrion\": 2,\n        \"pstress\": pstress,\n    }\n    if level == 0:\n        default1 = {\n            \"prec\": \"low\",\n            \"algo\": \"normal\",\n            \"kspacing\": 0.4,\n            \"isif\": 4,\n            \"ediff\": 1e-2,\n            \"nsw\": 50,\n            \"potim\": 0.02,\n        }\n    elif level == 1:\n        default1 = {\n            \"prec\": \"normal\",\n            \"algo\": \"normal\",\n            \"kspacing\": 0.3,\n            \"isif\": 3,\n            \"ediff\": 1e-3,\n            \"nsw\": 75,\n            \"potim\": 0.05,\n        }\n    elif level == 2:\n        default1 = {\n            \"prec\": \"accurate\",\n            \"kspacing\": 0.25,\n            \"isif\": 3,\n            \"ediff\": 1e-3,\n            \"nsw\": 75,\n            \"potim\": 0.1,\n            \"setups\": setup,\n        }\n    elif level == 3:\n        default1 = {\n            \"prec\": \"accurate\",\n            \"encut\": 520,\n            \"kspacing\": 0.25,\n            \"isif\": 3,\n            \"ediff\": 1e-4,\n            \"nsw\": 50,\n            \"setups\": setup,\n        }\n    elif level == 4:\n        default1 = {\n            \"prec\": \"accurate\",\n            \"encut\": 520,\n            \"kspacing\": 0.2,\n            \"isif\": 3,\n            \"ediff\": 1e-4,\n            \"nsw\": 0,\n            \"setups\": setup,\n        }\n\n    dict_vasp = dict(default0, **default1)\n    return Vasp(**dict_vasp)\n\n\ndef read_OUTCAR(path=\"OUTCAR\"):\n    \"\"\"read time and ncores info from OUTCAR\"\"\"\n    time = 0\n    ncore = 0\n    for line in open(path):\n        if line.rfind(\"running on  \") > -1:\n            ncore = int(line.split()[2])\n        elif line.rfind(\"Elapsed time \") > -1:\n            time = float(line.split(\":\")[-1])\n\n    return time, ncore\n\n\ndef good_lattice(struc):\n    para = struc.get_cell_lengths_and_angles()\n    return bool(max(para[:3]) < maxvec and max(para[3:]) < maxangle and min(para[3:]) > minangle)\n\n\ndef optimize(struc, dir1):\n    os.mkdir(dir1)\n    os.chdir(dir1)\n    time0 = 0\n    # Step1: ISIF = 2\n    struc.set_calculator(set_vasp(level=0, pstress=pstress))  # , setup=setup))\n    print(struc.get_potential_energy())\n    time, ncore = read_OUTCAR()\n    time0 += time\n    print(\"time for vasp calcs0 (seconds):  \", time)\n\n    # Step2: ISIF = 3\n    struc = read(\"CONTCAR\", format=\"vasp\")\n    struc.set_calculator(set_vasp(level=1, pstress=pstress))  # , setup=setup))\n    print(struc.get_potential_energy())\n    time, ncore = read_OUTCAR()\n    time0 += time\n    print(\"time for vasp calcs1 (seconds):  \", time)\n\n    # Step3: ISIF = 3 with high precision\n    struc = read(\"CONTCAR\", format=\"vasp\")\n    if good_lattice(struc):\n        struc = symmetrize_cell(struc, mode=\"C\")\n        struc.set_calculator(set_vasp(level=2, pstress=pstress))  # , setup=setup))\n        print(struc.get_potential_energy())\n        time, ncore = read_OUTCAR()\n        time0 += time\n        print(\"time for vasp calcs2 (seconds):  \", time)\n        struc = read(\"CONTCAR\", format=\"vasp\")\n\n        if good_lattice(struc):\n            struc = symmetrize_cell(struc, mode=\"P\")\n            struc.set_calculator(set_vasp(level=3, pstress=pstress, setup=setup))\n            print(struc.get_potential_energy())\n            time, ncore = read_OUTCAR()\n            time0 += time\n            print(\"time for vasp calcs3 (seconds):  \", time)\n            struc = read(\"CONTCAR\", format=\"vasp\")\n\n            if good_lattice(struc):\n                struc = symmetrize_cell(struc, mode=\"P\")\n                struc.set_calculator(set_vasp(level=4, pstress=pstress, setup=setup))\n                struc.get_potential_energy()\n                time, ncore = read_OUTCAR()\n                print(\"time for vasp calcs4 (seconds):  \", time)\n                time0 += time\n                result = vasprun().values\n                spg = get_symmetry_dataset(struc, symprec=5e-2)[\"international\"]\n                print(\n                    \"#####%-10s %-10s %12.6f %6.2f %8.2f %4d %12s\"\n                    % (\n                        dir1,\n                        struc.get_chemical_formula(),\n                        result[\"calculation\"][\"energy_per_atom\"],\n                        result[\"gap\"],\n                        time0,\n                        ncore,\n                        spg,\n                    )\n                )\n\n\nspecies = [\"Ca\", \"Zr\", \"O\"]\nnumIons = [0, 0, 0]\nfactor = 1.0\ndir0 = os.getcwd()\nt0 = time.time()\n\nfor i in range(1000):\n    os.chdir(dir0)\n    numIons[0] = random_state.integers(1, 5)\n    numIons[1] = 6 - numIons[0]\n    numIons[2] = numIons[0] + 2 * numIons[1]\n    run = True\n    while run:\n        sg = random_state.integers(3, 230)\n        rand_crystal = random_crystal(sg, species, numIons, factor)\n        if rand_crystal.valid:\n            run = False\n    try:\n        P_struc = rand_crystal.struct\n        label = str(P_struc.formula).replace(\" \", \"\")\n        dir1 = str(i) + \"-\" + label\n        struc = pymatgen2ase(P_struc)\n        ans = get_symmetry_dataset(struc, symprec=1e-1)[\"number\"]\n        print(\n            \"Space group requested:%4d generated%4d  Volume:%6.2f  Time elaspsed:%6.2f minutes\"\n            % (sg, ans, struc.get_volume(), (time.time() - t0) / 60.0)\n        )\n        optimize(struc, dir1)\n    except:\n        print(\"something is wrong\")\n"
  },
  {
    "path": "pyxtal/miscellaneous/bug_2_components.py",
    "content": "from pyxtal import pyxtal\n\nAg_xyz = \"\"\"1\nAgC2N2H\nAg         4.30800        8.26300       -0.2200\n\"\"\"\n\nC2N2H7_xyz = \"\"\"12\nAgC2N2H\nH          5.95800        5.80600       -0.9530\nN          5.24100        6.16800       -1.1210\nN          2.23200        6.99000       -0.6820\nC          4.02900        5.47000       -1.5870\nC          2.78500        5.61100       -0.6610\nH          3.69300        5.63500       -2.5830\nH          4.17400        4.42800       -1.6990\nH          3.12700        5.50500        0.4260\nH          2.05000        5.01200       -0.9300\nH          1.96000        7.20500       -1.3860\nH          1.59400        6.99200       -0.0710\n\"\"\"\nwith open(\"Ag.xyz\", \"w\") as f:\n    f.write(Ag_xyz)\nwith open(\"C2N2H7.xyz\", \"w\") as f:\n    f.write(C2N2H7_xyz)\n\n# for xyz in ['Ag.xyz', 'C2N2H7.xyz']:\n#    with open(xyz, 'r') as f:\n#        print('filename', xyz, '\\n')\n#        lines = f.readlines()\n#        for l in lines: print(l[:-2])\ncount = 0\nfor i in range(100):\n    c = pyxtal(molecular=True)\n    c.from_random(3, 9, [\"Ag.xyz\", \"C2N2H7.xyz\"], [12, 12])\n    short_bonds = c.check_short_distances(r=1.2)\n    if len(short_bonds) > 0:\n        print(c)\n        print(i, len(short_bonds), short_bonds[0])\n        c.to_file(\"bug-\" + str(i) + \".cif\")\n        c.to_ase().write(\n            \"bug-\" + str(i) + \".vasp\", format=\"vasp\", vasp5=True, direct=True\n        )\n        count += 1\nprint(\"\\nTotal failures: \", count)\n"
  },
  {
    "path": "pyxtal/miscellaneous/bug_spglib.py",
    "content": "from pyxtal import pyxtal\n\nc = pyxtal()\nc.from_seed(\"pyxtal/database/cifs/c_bug.vasp\")\nprint(c)\nc.from_seed(\"pyxtal/database/cifs/c_bug2.vasp\")\nprint(c)\n"
  },
  {
    "path": "pyxtal/miscellaneous/bugs/bug.py",
    "content": "from pyxtal import pyxtal\n\n# ans1 = get_symmetry_dataset(s, symprec=1e-2)\n# print(ans1)\n\ns = pyxtal()\ns.from_seed(\"bug.vasp\", tol=1e-2)\nprint(s)\n# s1=s.subgroup(eps=0.1, group_type='t+k', max_cell=4)\n# for a in s1:\n#    print(a)\n# s1=s.subgroup(eps=0.1, group_type='k', max_cell=4)\n# for a in s1:\n#    print(a)\n# permutation = {\"C\":\"Si\", \"Si\":\"C\"}\n# for i in range(100):\n#    struc = s.subgroup_once(0.01, None, permutation, max_cell=1)\n#    print(struc.group.number, struc.formula)\n\nfor _i in range(100):\n    struc = s.subgroup_once(0.2, None, None, \"t+k\", max_cell=2)\n    print(struc.group.number, struc.formula)\n# for i in range(1000):\n#    struc = s.subgroup_with_substitution(permutation, once=True, max_cell=4)\n#    print(struc)\n"
  },
  {
    "path": "pyxtal/miscellaneous/bugs/bug.vasp",
    "content": " C \n 1.0000000000000000\n     2.5297212763435866    0.0000000000000000    0.0000000000000000\n    -1.2648606381717933    2.1908028898075398    0.0000000000000000\n     0.0000000000000000    0.0000000000000000    2.1141589999999999\n C  \n   2\nDirect\n  0.3333333333333333  0.6666666666666666  0.5000000000000000\n  0.6666666666666666  0.3333333333333333  0.5000000000000000\n"
  },
  {
    "path": "pyxtal/miscellaneous/c60.py",
    "content": "\"\"\"\nGenerates n C60 structures and outputs to cif files\n\"\"\"\n\nfrom os import mkdir\nfrom os.path import exists\n\nfrom pyxtal.crystal import *\n\n# input variables\ng = Group(\"Ih\", dim=0)\nspecies = [\"C\"]\nnumatoms = [60]\nfactor = 1.0\nn = 10\n\n# Generate n clusters\ni = 1\noutstructs = []\nprint(\"Generating \" + str(n) + \" structures...\")\nprint(\"1\")\nwhile i <= n:\n    c = random_cluster(g, species, numatoms, factor)\n    if c.valid:\n        outstructs.append(c.struct)\n        i += 1\n        if i <= n:\n            print(i)\n\n# Output files\nprint(\"Outputting cif files to c60_out\")\nif not exists(\"c60_out\"):\n    mkdir(\"c60_out\")\nfor i, s in enumerate(outstructs):\n    s.to(filename=\"c60_out/c60_\" + str(i + 1) + \".cif\")\n"
  },
  {
    "path": "pyxtal/miscellaneous/check_cluster_distances.py",
    "content": "from pyxtal.crystal import *\n\n\ndef check_cluster_distances(cluster, tol):\n    try:\n        dm = distance_matrix(cluster.cart_coords, cluster.cart_coords, Euclidean_lattice, PBC=[0, 0, 0])\n    except:\n        dm = distance_matrix(cluster.coordinates, cluster.coordinates, Euclidean_lattice, PBC=[0, 0, 0])\n    for i, x in enumerate(dm):\n        for j, y in enumerate(x):\n            if i != j and y < tol:\n                print(\"Found small distance: \" + str(y))\n                return False\n    return True\n\n\nfor i in range(20):\n    print(\"Testing structure # \" + str(i))\n    pg = choose([1])\n    c = random_cluster(pg, [\"Mo\"], [38], 1.0)\n    tol = c.tol_matrix.get_tol(\"Mo\", \"Mo\")\n    if check_cluster_distances(c, tol):\n        continue\n    else:\n        exit()\n\nprint(\"Success. No small distances found\")\n"
  },
  {
    "path": "pyxtal/miscellaneous/check_rotation.py",
    "content": "from pyxtal.structure import *\n\nfailed = []\nsgs = range(2, 231)\nfor sg in sgs:\n    print(\"calculating sg: \" + str(sg))\n    wyckoff_symmetry = get_wyckoff_symmetry(sg)\n    for _j, wp in enumerate(wyckoff_symmetry):\n        seen = []\n        for i, p in enumerate(wp):\n            if i == 0:\n                for op in p:\n                    rot = SymmOp.from_rotation_and_translation(op.rotation_matrix, [0, 0, 0])\n                    if rot not in seen:\n                        seen.append(rot)\n            elif i != 0:\n                for op in p:\n                    rot = SymmOp.from_rotation_and_translation(op.rotation_matrix, [0, 0, 0])\n                    if rot not in seen:\n                        params = [sg]\n                        if params not in failed:\n                            failed.append(params)\nfor x in failed:\n    print(x)\n"
  },
  {
    "path": "pyxtal/miscellaneous/check_wyckoff_generators.py",
    "content": "from pyxtal.structure import *\n\nfor sg in range(1, 231):\n    wyckoffs = get_wyckoffs(sg)\n    generators = get_wyckoff_generators()\n    for _wp_index, _wp in enumerate(wyckoffs):\n        generators = g\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/A2=a.cif",
    "content": "data_global\r\n_chemical_name_mineral 'Grandreefite'\r\nloop_\r\n_publ_author_name\r\n'Kampf A R'\r\n_journal_name_full 'American Mineralogist'\r\n_journal_volume 76 \r\n_journal_year 1991\r\n_journal_page_first 278\r\n_journal_page_last 282\r\n_publ_section_title\r\n;\r\n Grandreefite, Pb2F2SO4: Crystal structure and relationship to the lanthanide\r\n oxide sulfates, Ln2O2SO4\r\n;\r\n_database_code_amcsd 0001350\r\n_chemical_formula_sum 'Pb2 S F2 O4'\r\n_chemical_formula_sum ''\r\n_cell_length_a 8.667\r\n_cell_length_b 4.4419\r\n_cell_length_c 14.242\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 107.418\r\n_cell_angle_gamma 90\r\n_cell_volume 523.147\r\n_exptl_crystal_density_diffrn      6.964\r\n_symmetry_space_group_name_H-M 'A 1 2/a 1'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  'x,1/2+y,1/2+z'\r\n  '1/2+x,-y,z'\r\n  '1/2+x,1/2-y,1/2+z'\r\n  '1/2-x,y,-z'\r\n  '1/2-x,1/2+y,1/2-z'\r\n  '-x,-y,-z'\r\n  '-x,1/2-y,1/2-z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\n_atom_site_U_iso_or_equiv\r\nPb   0.07850   0.50890   0.15480 ?\r\nS   0.25000   0.05000   0.00000   0.00253\r\nF   0.12700   0.96700   0.24700   0.01267\r\nO1   0.11500   0.25200   0.00300   0.01393\r\nO2   0.29900   0.85800   0.09000   0.01393\r\nloop_\r\n_atom_site_aniso_label\r\n_atom_site_aniso_U_11\r\n_atom_site_aniso_U_22\r\n_atom_site_aniso_U_33\r\n_atom_site_aniso_U_12\r\n_atom_site_aniso_U_13\r\n_atom_site_aniso_U_23\r\nPb 0.00831 0.00750 0.00486 0.00447 0.00353 0.00092\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/A2=m.cif",
    "content": "data_global\r\n_amcsd_formula_title 'O Ti'\r\nloop_\r\n_publ_author_name\r\n'Watanabe D'\r\n'Castles J'\r\n'Jostsons A'\r\n'Malin A'\r\n_journal_name_full 'Acta Crystallographica'\r\n_journal_volume 23 \r\n_journal_year 1967\r\n_journal_page_first 307\r\n_journal_page_last 313\r\n_publ_section_title\r\n;\r\n The ordered structure of Ti O\r\n _cod_database_code 1100042\r\n;\r\n_database_code_amcsd 0018233\r\n_chemical_formula_sum 'Ti5 O5'\r\n_chemical_formula_sum ''\r\n_cell_length_a 5.855\r\n_cell_length_b 9.340\r\n_cell_length_c 4.142\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 107.53\r\n_cell_volume 215.989\r\n_exptl_crystal_density_diffrn      4.911\r\n_symmetry_space_group_name_H-M 'A 1 1 2/m'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  'x,1/2+y,1/2+z'\r\n  'x,y,-z'\r\n  'x,1/2+y,1/2-z'\r\n  '-x,-y,z'\r\n  '-x,1/2-y,1/2+z'\r\n  '-x,-y,-z'\r\n  '-x,1/2-y,1/2-z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\nTi1   0.50000   0.00000   0.00000\r\nTi2   0.16400   0.33600   0.00000\r\nTi3   0.66660   0.34000   0.00000\r\nO1   0.32400   0.18100   0.00000\r\nO2   0.81900   0.16500   0.00000\r\nO3   0.00000   0.50000   0.00000\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/Aa.cif",
    "content": "data_global\r\n_chemical_name_mineral 'Daomanite'\r\nloop_\r\n_publ_author_name\r\n'Ding K'\r\n'He C'\r\n'Zheng Q'\r\n_journal_name_full 'Kexue Tongbao'\r\n_journal_volume 27 \r\n_journal_year 1982\r\n_journal_page_first 62\r\n_journal_page_last 66\r\n_publ_section_title\r\n;\r\n Determination of daomanite crystal structure\r\n;\r\n_database_code_amcsd 0019982\r\n_chemical_compound_source 'Tao and Ma districts, Fengning County, Chengde Prefecture, Hebei Province, China'\r\n_chemical_formula_sum 'Pt Cu As S2'\r\n_chemical_formula_sum ''\r\n_cell_length_a 5.852\r\n_cell_length_b 15.876\r\n_cell_length_c 3.756\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90.\r\n_cell_angle_gamma 90\r\n_cell_volume 348.956\r\n_exptl_crystal_density_diffrn      7.570\r\n_symmetry_space_group_name_H-M 'A 1 a 1'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  'x,1/2+y,1/2+z'\r\n  '1/2+x,-y,z'\r\n  '1/2+x,1/2-y,1/2+z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\nPt   0.25000   0.18000   0.05300\r\nCu   0.24900   0.45400   0.05200\r\nAs   0.86700   0.23000   0.05200\r\nS1   0.65000   0.41600   0.05000\r\nS2   0.65000   0.11600   0.05000\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/Aba2.cif",
    "content": "data_global\r\n_amcsd_formula_title 'SO2'\r\nloop_\r\n_publ_author_name\r\n'Post B'\r\n'Schwartz R S'\r\n'Fankuchen I'\r\n_journal_name_full 'Acta Crystallographica'\r\n_journal_volume 5 \r\n_journal_year 1952\r\n_journal_page_first 372\r\n_journal_page_last 374\r\n_publ_section_title\r\n;\r\n The crystal structure of sulfur dioxide\r\n Sample: T = -130 C\r\n;\r\n_database_code_amcsd 0009146\r\n_chemical_formula_sum 'S O2'\r\n_chemical_formula_sum ''\r\n_cell_length_a 6.07\r\n_cell_length_b 5.94\r\n_cell_length_c 6.14\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 90\r\n_cell_volume 221.383\r\n_exptl_crystal_density_diffrn      1.922\r\n_symmetry_space_group_name_H-M 'A b a 2'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  'x,1/2+y,1/2+z'\r\n  '1/2+x,1/2-y,z'\r\n  '1/2+x,-y,1/2+z'\r\n  '1/2-x,1/2+y,z'\r\n  '1/2-x,+y,1/2+z'\r\n  '-x,-y,z'\r\n  '-x,1/2-y,1/2+z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\n_atom_site_U_iso_or_equiv\r\nS   0.00000   0.00000   0.00000   0.03166\r\nO   0.14000   0.15000   0.11800   0.03166\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/Abmm.cif",
    "content": "data_global\r\n_amcsd_formula_title 'H6 N O2 P'\r\nloop_\r\n_publ_author_name\r\n'Zachariasen W'\r\n'Mooney R'\r\n_journal_name_full 'Journal of Chemical Physics'\r\n_journal_volume 2 \r\n_journal_year 1934\r\n_journal_page_first 34\r\n_journal_page_last 37\r\n_publ_section_title\r\n;\r\n The Structure of the Hypophosphite Group as Determined from the Crystal\r\n Lattice of Ammonium Hypophosphite\r\n _cod_database_code 1010304\r\n;\r\n_database_code_amcsd 0017230\r\n_chemical_formula_sum 'N P O2 H2'\r\n_chemical_formula_sum ''\r\n_cell_length_a 3.98\r\n_cell_length_b 7.57\r\n_cell_length_c 11.47\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 90\r\n_cell_volume 345.575\r\n_exptl_crystal_density_diffrn      1.518\r\n_symmetry_space_group_name_H-M 'A b m m'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  'x,1/2+y,1/2+z'\r\n  'x,1/2+y,-z'\r\n  'x,+y,1/2-z'\r\n  '-x,1/2-y,z'\r\n  '-x,-y,1/2+z'\r\n  'x,-y,z'\r\n  'x,1/2-y,1/2+z'\r\n  '-x,y,-z'\r\n  '-x,1/2+y,1/2-z'\r\n  '-x,1/2+y,z'\r\n  '-x,+y,1/2+z'\r\n  'x,1/2-y,-z'\r\n  'x,-y,1/2-z'\r\n  '-x,-y,-z'\r\n  '-x,1/2-y,1/2-z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\nN1   0.00000   0.25000   0.00000\r\nP1   0.54200   0.00000   0.25000\r\nO1   0.34700   0.00000   0.13600\r\nH1  -0.80600   0.35800   0.25000\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/Acam.cif",
    "content": "data_global\r\n_amcsd_formula_title 'V2Sn2Ga'\r\nloop_\r\n_publ_author_name\r\n'Ye J'\r\n'Horiuchi H'\r\n'Shishido T'\r\n'Fukuda T'\r\n_journal_name_full 'Acta Crystallographica, Section C'\r\n_journal_volume 46 \r\n_journal_year 1990\r\n_journal_page_first 1195\r\n_journal_page_last 1197\r\n_publ_section_title\r\n;\r\n Structure of V2Sn2Ga\r\n;\r\n_database_code_amcsd 0010152\r\n_chemical_formula_sum 'V2 Ga Sn2'\r\n_chemical_formula_sum ''\r\n_cell_length_a 6.7191\r\n_cell_length_b 18.798\r\n_cell_length_c 5.603\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 90\r\n_cell_volume 707.691\r\n_exptl_crystal_density_diffrn      7.678\r\n_symmetry_space_group_name_H-M 'A c a m'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  'x,1/2+y,1/2+z'\r\n  '1/2+x,1/2-y,z'\r\n  '1/2+x,-y,1/2+z'\r\n  '1/2-x,1/2+y,-z'\r\n  '1/2-x,+y,1/2-z'\r\n  'x,y,-z'\r\n  'x,1/2+y,1/2-z'\r\n  '-x,-y,z'\r\n  '-x,1/2-y,1/2+z'\r\n  '1/2-x,1/2+y,z'\r\n  '1/2-x,+y,1/2+z'\r\n  '1/2+x,1/2-y,-z'\r\n  '1/2+x,-y,1/2-z'\r\n  '-x,-y,-z'\r\n  '-x,1/2-y,1/2-z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\n_atom_site_U_iso_or_equiv\r\nV1   0.46840   0.07569   0.50000   0.00874\r\nV2   0.75000   0.15949   0.25000   0.00811\r\nGa   0.75000   0.01814   0.25000   0.01039\r\nSn1   0.42472   0.11137   0.00000   0.00937\r\nSn2   0.42048   0.22207   0.50000   0.00899\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/Acmm-1.cif",
    "content": "#======================================================================\n\n# CRYSTAL DATA\n\n#----------------------------------------------------------------------\n\ndata_VESTA_phase_1\n\n\n_chemical_name_common                  'Pb2 O F Cl'\n_cell_length_a                         5.72210\n_cell_length_b                         5.72690\n_cell_length_c                         12.54100\n_cell_angle_alpha                      90\n_cell_angle_beta                       90\n_cell_angle_gamma                      90\n_space_group_name_H-M_alt              'A e m m'\n_space_group_IT_number                 67\n\nloop_\n_space_group_symop_operation_xyz\n   'x, y, z'\n   '-x, -y, -z'\n   'x, -y+1/2, -z'\n   '-x, y+1/2, z'\n   '-x, y+1/2, -z'\n   'x, -y+1/2, z'\n   '-x, -y, z'\n   'x, y, -z'\n   'x, y+1/2, z+1/2'\n   '-x, -y+1/2, -z+1/2'\n   'x, -y, -z+1/2'\n   '-x, y, z+1/2'\n   '-x, y, -z+1/2'\n   'x, -y, z+1/2'\n   '-x, -y+1/2, z+1/2'\n   'x, y+1/2, -z+1/2'\n\nloop_\n   _atom_site_label\n   _atom_site_occupancy\n   _atom_site_fract_x\n   _atom_site_fract_y\n   _atom_site_fract_z\n   _atom_site_adp_type\n   _atom_site_B_iso_or_equiv\n   _atom_site_type_symbol\n   Pb         1.0     0.220460      0.250000      0.146510     Biso  1.000000 Pb\n   O          1.0     0.000000      0.000000      0.250000     Biso  1.000000 O\n   F          1.0     0.500000      0.000000      0.250000     Biso  1.000000 F\n   Cl         1.0     0.222700      0.250000      0.500000     Biso  1.000000 Cl\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/Acmm.cif",
    "content": "data_global\r\n_amcsd_formula_title 'Pb2OFCl'\r\nloop_\r\n_publ_author_name\r\n'Aurivillius B'\r\n_journal_name_full 'Chemica Scripta'\r\n_journal_volume 11 \r\n_journal_year 1977\r\n_journal_page_first 208\r\n_journal_page_last 211\r\n_publ_section_title\r\n;\r\n A case of mimetic twinning. The crystal structures of Pb2OFX (X=Cl, Br, and I)\r\n Sample: Pb2OFCl(L), isostructural with blixite\r\n;\r\n_database_code_amcsd 0012187\r\n_chemical_compound_source 'Synthetic'\r\n_chemical_formula_sum 'Pb2 O F Cl'\r\n_chemical_formula_sum ''\r\n_cell_length_a 5.7221\r\n_cell_length_b 5.7269\r\n_cell_length_c 12.5410\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 90\r\n_cell_volume 410.967\r\n_exptl_crystal_density_diffrn      7.836\r\n_symmetry_space_group_name_H-M 'A c m m'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  'x,1/2+y,1/2+z'\r\n  'x,-y,1/2+z'\r\n  'x,1/2-y,+z'\r\n  '-x,y,1/2-z'\r\n  '-x,1/2+y,-z'\r\n  'x,y,-z'\r\n  'x,1/2+y,1/2-z'\r\n  '-x,-y,z'\r\n  '-x,1/2-y,1/2+z'\r\n  '-x,y,1/2+z'\r\n  '-x,1/2+y,+z'\r\n  'x,-y,1/2-z'\r\n  'x,1/2-y,-z'\r\n  '-x,-y,-z'\r\n  '-x,1/2-y,1/2-z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\nPb   0.22046   0.25000   0.14651 \r\nO    0.00000   0.00000   0.25000 \r\nF    0.50000   0.00000   0.25000 \r\nCl   0.22270   0.25000   0.50000 \r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/Ama2.cif",
    "content": "data_global\r\n_chemical_name_mineral 'Vaterite'\r\nloop_\r\n_publ_author_name\r\n'Demichelis R'\r\n'Raiteri P'\r\n'Gale J D'\r\n'Dovesi R'\r\n_journal_name_full 'CrystEngComm'\r\n_journal_volume 14 \r\n_journal_year 2012\r\n_journal_page_first 44\r\n_journal_page_last 47\r\n_publ_section_title\r\n;\r\n A new structural model for disorder in vaterite from first-principles calculations\r\n;\r\n_database_code_amcsd 0019871\r\n_chemical_compound_source 'theoretical'\r\n_chemical_formula_sum 'Ca C O3'\r\n_chemical_formula_sum ''\r\n_cell_length_a 8.4905\r\n_cell_length_b 6.3905\r\n_cell_length_c 4.5026\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 90\r\n_cell_volume 244.305\r\n_exptl_crystal_density_diffrn      2.721\r\n_symmetry_space_group_name_H-M 'A m a 2'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  'x,1/2+y,1/2+z'\r\n  '1/2+x,-y,z'\r\n  '1/2+x,1/2-y,1/2+z'\r\n  '1/2-x,y,z'\r\n  '1/2-x,1/2+y,1/2+z'\r\n  '-x,-y,z'\r\n  '-x,1/2-y,1/2+z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\nCa   0.50000   0.00000   0.50868\r\nC   0.25000   0.14432   0.94400\r\nO1   0.38423   0.16589   0.07718\r\nO2   0.25000   0.10559   0.66336\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/Amam.cif",
    "content": "data_global\r\n_chemical_name_mineral 'Lepidocrocite'\r\nloop_\r\n_publ_author_name\r\n'Goldsztaub M'\r\n_journal_name_full 'Bulletin de la Societe Francaise de Mineralogie'\r\n_journal_volume 58 \r\n_journal_year 1935\r\n_journal_page_first 6\r\n_journal_page_last 6\r\n_publ_section_title\r\n;\r\n Etude de quelques derives de l'oxyde ferrique (Fe O.OH, FeO2Na, FeOCl)\r\n determination de leurs structures.\r\n _cod_database_code 1011088\r\n;\r\n_database_code_amcsd 0017984\r\n_chemical_formula_sum 'Fe O2'\r\n_chemical_formula_sum ''\r\n_cell_length_a 3.87\r\n_cell_length_b 12.4\r\n_cell_length_c 3.06\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 90\r\n_cell_volume 146.843\r\n_exptl_crystal_density_diffrn      3.974\r\n_symmetry_space_group_name_H-M 'A m a m'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  'x,1/2+y,1/2+z'\r\n  '1/2+x,-y,z'\r\n  '1/2+x,1/2-y,1/2+z'\r\n  '1/2-x,y,-z'\r\n  '1/2-x,1/2+y,1/2-z'\r\n  'x,y,-z'\r\n  'x,1/2+y,1/2-z'\r\n  '-x,-y,z'\r\n  '-x,1/2-y,1/2+z'\r\n  '1/2-x,y,z'\r\n  '1/2-x,1/2+y,1/2+z'\r\n  '1/2+x,-y,-z'\r\n  '1/2+x,1/2-y,1/2-z'\r\n  '-x,-y,-z'\r\n  '-x,1/2-y,1/2-z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\nFe1   0.25000  -0.19000   0.00000\r\nO1   0.25000   0.19000   0.00000\r\nO2   0.25000   0.42300   0.00000\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/Amm2.cif",
    "content": "data_global\r\n_amcsd_formula_title 'Cd(NH3)2Cl2'\r\nloop_\r\n_publ_author_name\r\n'MacGillavry C H'\r\n'Bijvoet J M'\r\n_journal_name_full 'Zeitschrift fur Kristallographie'\r\n_journal_volume 94 \r\n_journal_year 1936\r\n_journal_page_first 231\r\n_journal_page_last 245\r\n_publ_section_title\r\n;\r\n Die kristallstruktur der cadmium-und quecksilber-diammin-dihalogenide\r\n;\r\n_database_code_amcsd 0010557\r\n_chemical_compound_source 'Synthetic'\r\n_chemical_formula_sum 'Cd N2 Cl2'\r\n_chemical_formula_sum ''\r\n_cell_length_a 3.968\r\n_cell_length_b 8.307\r\n_cell_length_c 8.196\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 90\r\n_cell_volume 270.158\r\n_exptl_crystal_density_diffrn      2.598\r\n_symmetry_space_group_name_H-M 'A m m 2'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  'x,1/2+y,1/2+z'\r\n  'x,-y,z'\r\n  'x,1/2-y,1/2+z'\r\n  '-x,y,z'\r\n  '-x,1/2+y,1/2+z'\r\n  '-x,-y,z'\r\n  '-x,1/2-y,1/2+z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\nCd   0.00000   0.00000   0.00000\r\nN   0.00000   0.25000   0.00000\r\nCl   0.50000   0.00000   0.22600\r\nCl   0.50000   0.00000   0.77400\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/Amma.cif",
    "content": "data_global\r\n_chemical_name_mineral 'Anhydrite'\r\nloop_\r\n_publ_author_name\r\n'Hawthorne F C'\r\n'Ferguson R B'\r\n_journal_name_full 'The Canadian Mineralogist'\r\n_journal_volume 13 \r\n_journal_year 1975\r\n_journal_page_first 289\r\n_journal_page_last 292\r\n_publ_section_title\r\n;\r\n Anhydrous sulphates. II. Refinement of the crystal structure of anhydrite\r\n;\r\n_database_code_amcsd 0005117\r\n_chemical_compound_source 'Leopoldshall, East Germany'\r\n_chemical_formula_sum 'Ca S O4'\r\n_chemical_formula_sum ''\r\n_cell_length_a 6.993\r\n_cell_length_b 6.995\r\n_cell_length_c 6.245\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 90\r\n_cell_volume 305.481\r\n_exptl_crystal_density_diffrn      2.960\r\n_symmetry_space_group_name_H-M 'A m m a'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  'x,1/2+y,1/2+z'\r\n  '1/2+x,y,-z'\r\n  '1/2+x,1/2+y,1/2-z'\r\n  '1/2-x,-y,z'\r\n  '1/2-x,1/2-y,1/2+z'\r\n  'x,-y,z'\r\n  'x,1/2-y,1/2+z'\r\n  '-x,y,-z'\r\n  '-x,1/2+y,1/2-z'\r\n  '1/2-x,y,z'\r\n  '1/2-x,1/2+y,1/2+z'\r\n  '1/2+x,-y,-z'\r\n  '1/2+x,1/2-y,1/2-z'\r\n  '-x,-y,-z'\r\n  '-x,1/2-y,1/2-z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\nCa   0.75000   0.00000   0.34760\r\nS   0.25000   0.00000   0.15556\r\nO1   0.25000   0.16990   0.01620\r\nO2   0.08190   0.00000   0.29750\r\nloop_\r\n_atom_site_aniso_label\r\n_atom_site_aniso_U_11\r\n_atom_site_aniso_U_22\r\n_atom_site_aniso_U_33\r\n_atom_site_aniso_U_12\r\n_atom_site_aniso_U_13\r\n_atom_site_aniso_U_23\r\nCa 0.00850 0.00935 0.00699 0.00000 0.00000 0.00000\r\nS 0.00837 0.00669 0.00585 0.00000 0.00000 0.00000\r\nO1 0.01947 0.00835 0.00960 0.00000 0.00000 0.00000\r\nO2 0.00870 0.01683 0.01014 0.00000 0.00268 0.00000\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/B2=b.cif",
    "content": "data_global\r\n_amcsd_formula_title 'O5 Si Y2'\r\nloop_\r\n_publ_author_name\r\n'Michel C'\r\n'Buisson G'\r\n'Bertaut E'\r\n_journal_name_full 'Comptes Rendus Hebdomadaires des Seances de l'Academie des Sciences'\r\n_journal_volume 264 \r\n_journal_year 1967\r\n_journal_page_first 397\r\n_journal_page_last 399\r\n_publ_section_title\r\n;\r\n Structure de Y2 Si O5\r\n _cod_database_code 1001838\r\n;\r\n_database_code_amcsd 0012264\r\n_chemical_formula_sum 'Y2 Si O5'\r\n_chemical_formula_sum ''\r\n_cell_length_a 14.59\r\n_cell_length_b 10.52\r\n_cell_length_c 6.82\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 122.25\r\n_cell_volume 885.291\r\n_exptl_crystal_density_diffrn      4.290\r\n_symmetry_space_group_name_H-M 'B 1 1 2/b'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  '1/2+x,y,1/2+z'\r\n  '-x,1/2-y,z'\r\n  '1/2-x,1/2-y,1/2+z'\r\n  'x,1/2+y,-z'\r\n  '1/2+x,1/2+y,1/2-z'\r\n  '-x,-y,-z'\r\n  '1/2-x,-y,1/2-z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\nY1   0.53700  -0.03100   0.24100\r\nY2   0.35700  -0.33500   0.88000\r\nSi1   0.31600  -0.30400   0.41400\r\nO1   0.37400  -0.33400   0.21300\r\nO2   0.40700  -0.15600   0.49200\r\nO3   0.20400  -0.32500   0.37200\r\nO4   0.31200  -0.40400   0.59400\r\nO5   0.51900  -0.10600   0.91500\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/B2_1=d.cif",
    "content": "data_global\r\n_chemical_name_mineral 'Gudmundite'\r\nloop_\r\n_publ_author_name\r\n'Buerger M J'\r\n_journal_name_full 'American Mineralogist'\r\n_journal_volume 24 \r\n_journal_year 1939\r\n_journal_page_first 183\r\n_journal_page_last 184\r\n_publ_section_title\r\n;\r\n The crystal structure of gudmundite\r\n;\r\n_database_code_amcsd 0000021\r\n_chemical_formula_sum 'Fe Sb S'\r\n_chemical_formula_sum ''\r\n_cell_length_a 10.00\r\n_cell_length_b 5.93\r\n_cell_length_c 6.73\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90.\r\n_cell_angle_gamma 90\r\n_cell_volume 399.089\r\n_exptl_crystal_density_diffrn      6.979\r\n_symmetry_space_group_name_H-M 'B 1 21/d 1'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  '1/2+x,y,1/2+z'\r\n  '3/4-x,1/2+y,3/4-z'\r\n  '1/4-x,1/2+y,1/4-z'\r\n  '3/4+x,1/2-y,3/4+z'\r\n  '1/4+x,1/2-y,1/4+z'\r\n  '1/2-x,-y,1/2-z'\r\n  '-x,-y,-z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\nFe   0.00000   0.01500   0.30000\r\nSb   0.14000   0.13100  -0.00800\r\nS   0.15600   0.14500   0.51100\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/Bb2_1m.cif",
    "content": "data_global\r\n_amcsd_formula_title 'HCl'\r\nloop_\r\n_publ_author_name\r\n'Sandor E'\r\n'Farrow R F C'\r\n_journal_name_full 'Nature'\r\n_journal_volume 213 \r\n_journal_year 1967\r\n_journal_page_first 171\r\n_journal_page_last 172\r\n_publ_section_title\r\n;\r\n Crystal structure of solid hydrogen chloride and deuterium chloride\r\n Note T = 77.4 K\r\n;\r\n_database_code_amcsd 0018512\r\n_chemical_compound_source 'synthetic, note this is the deuterated structure'\r\n_chemical_formula_sum 'H Cl'\r\n_chemical_formula_sum ''\r\n_cell_length_a 5.053\r\n_cell_length_b 5.373\r\n_cell_length_c 5.825\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 90\r\n_cell_volume 158.147\r\n_exptl_crystal_density_diffrn      1.531\r\n_symmetry_space_group_name_H-M 'B b 21 m'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  '1/2+x,y,1/2+z'\r\n  '-x,1/2+y,z'\r\n  '1/2-x,1/2+y,1/2+z'\r\n  'x,y,-z'\r\n  '1/2+x,y,1/2-z'\r\n  '-x,1/2+y,-z'\r\n  '1/2-x,1/2+y,1/2-z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\nH   0.08100   0.17000   0.00000\r\nCl   0.25000   0.00000   0.00000\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/Bbmm.cif",
    "content": "data_global\r\n_chemical_name_mineral 'Lepidocrocite'\r\nloop_\r\n_publ_author_name\r\n'Wyckoff R W G'\r\n_journal_name_full 'Crystal Structures'\r\n_journal_volume 1 \r\n_journal_year 1963\r\n_journal_page_first 290\r\n_journal_page_last 295\r\n_publ_section_title\r\n;\r\n Second edition. Interscience Publishers, New York, New York\r\n;\r\n_database_code_amcsd 0011833\r\n_chemical_formula_sum 'Fe O2 H'\r\n_chemical_formula_sum ''\r\n_cell_length_a 12.4\r\n_cell_length_b 3.87\r\n_cell_length_c 3.06\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 90\r\n_cell_volume 146.843\r\n_exptl_crystal_density_diffrn      4.019\r\n_symmetry_space_group_name_H-M 'B b m m'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  '1/2+x,y,1/2+z'\r\n  '-x,1/2+y,z'\r\n  '1/2-x,1/2+y,1/2+z'\r\n  'x,1/2-y,-z'\r\n  '1/2+x,1/2-y,1/2-z'\r\n  'x,y,-z'\r\n  '1/2+x,y,1/2-z'\r\n  '-x,-y,z'\r\n  '1/2-x,-y,1/2+z'\r\n  'x,1/2-y,z'\r\n  '1/2+x,1/2-y,1/2+z'\r\n  '-x,1/2+y,-z'\r\n  '1/2-x,1/2+y,1/2-z'\r\n  '-x,-y,-z'\r\n  '1/2-x,-y,1/2-z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\nFe  -0.17800   0.25000   0.00000\r\nO   0.21000   0.25000   0.00000\r\nO-H   0.42500   0.25000   0.00000\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/Bmab.cif",
    "content": "data_global\r\n_chemical_name_mineral 'Gallium'\r\nloop_\r\n_publ_author_name\r\n'Wyckoff R W G'\r\n_journal_name_full 'Crystal Structures'\r\n_journal_volume 1 \r\n_journal_year 1963\r\n_journal_page_first 7\r\n_journal_page_last 83\r\n_publ_section_title\r\n;\r\n Second edition. Interscience Publishers, New York, New York\r\n;\r\n_database_code_amcsd 0011240\r\n_chemical_formula_sum 'Ga'\r\n_chemical_formula_sum ''\r\n_cell_length_a 4.5107\r\n_cell_length_b 4.5167\r\n_cell_length_c 7.6448\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 90\r\n_cell_volume 155.751\r\n_exptl_crystal_density_diffrn      5.947\r\n_symmetry_space_group_name_H-M 'B m a b'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  '1/2+x,y,1/2+z'\r\n  'x,1/2+y,1/2-z'\r\n  '1/2+x,1/2+y,-z'\r\n  '-x,1/2-y,1/2+z'\r\n  '1/2-x,1/2-y,+z'\r\n  '-x,y,z'\r\n  '1/2-x,y,1/2+z'\r\n  'x,-y,-z'\r\n  '1/2+x,-y,1/2-z'\r\n  'x,1/2-y,1/2+z'\r\n  '1/2+x,1/2-y,+z'\r\n  '-x,1/2+y,1/2-z'\r\n  '1/2-x,1/2+y,-z'\r\n  '-x,-y,-z'\r\n  '1/2-x,-y,1/2-z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\nGa   0.00000   0.07850   0.15250\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/Bmmb.cif",
    "content": "data_global\r\n_chemical_name_mineral 'Perite'\r\nloop_\r\n_publ_author_name\r\n'Gillberg M'\r\n_journal_name_full 'Arkiv for Mineralogi och Geologi'\r\n_journal_volume 2 \r\n_journal_year 1960\r\n_journal_page_first 565\r\n_journal_page_last 570\r\n_publ_section_title\r\n;\r\n Perite, a new oxyhalide mineral from Langban, Sweden\r\n;\r\n_database_code_amcsd 0012046\r\n_chemical_compound_source 'Langban, Sweden'\r\n_chemical_formula_sum 'Pb Bi Cl O2'\r\n_chemical_formula_sum ''\r\n_cell_length_a 5.627\r\n_cell_length_b 5.575\r\n_cell_length_c 12.425\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 90\r\n_cell_volume 389.779\r\n_exptl_crystal_density_diffrn      8.241\r\n_symmetry_space_group_name_H-M 'B m m b'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  '1/2+x,y,1/2+z'\r\n  'x,1/2+y,-z'\r\n  '1/2+x,1/2+y,1/2-z'\r\n  '-x,1/2-y,z'\r\n  '1/2-x,1/2-y,1/2+z'\r\n  '-x,y,z'\r\n  '1/2-x,y,1/2+z'\r\n  'x,-y,-z'\r\n  '1/2+x,-y,1/2-z'\r\n  'x,1/2-y,z'\r\n  '1/2+x,1/2-y,1/2+z'\r\n  '-x,1/2+y,-z'\r\n  '1/2-x,1/2+y,1/2-z'\r\n  '-x,-y,-z'\r\n  '1/2-x,-y,1/2-z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\nPb   0.00000   0.25000   0.38500\r\nBi   0.00000   0.25000   0.09000\r\nCl   0.00000   0.25000   0.75000\r\nO   0.25000   0.00000   0.00000\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/C-1.cif",
    "content": "data_global\r\n_chemical_name_mineral 'Pyrophyllite'\r\nloop_\r\n_publ_author_name\r\n'Wardle R'\r\n'Brindley G W'\r\n_journal_name_full 'American Mineralogist'\r\n_journal_volume 57 \r\n_journal_year 1972\r\n_journal_page_first 732\r\n_journal_page_last 750\r\n_publ_section_title\r\n;\r\n The crystal structures of pyrophyllite, 1Tc, and of its dehydroxylate\r\n;\r\n_database_code_amcsd 0000285\r\n_chemical_formula_sum 'Al Si2 O6 H'\r\n_chemical_formula_sum ''\r\n_cell_length_a 5.1614\r\n_cell_length_b 8.9576\r\n_cell_length_c 9.3511\r\n_cell_angle_alpha 91.03\r\n_cell_angle_beta 100.37\r\n_cell_angle_gamma 89.75\r\n_cell_volume 425.206\r\n_exptl_crystal_density_diffrn      2.814\r\n_symmetry_space_group_name_H-M 'C -1'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  '1/2+x,1/2+y,z'\r\n  '-x,-y,-z'\r\n  '1/2-x,1/2-y,-z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\nAl   0.50000   0.16700   0.00000\r\nSi1   0.74800   0.00000   0.28900\r\nSi2   0.75900   0.33100   0.28900\r\nO1   0.67100   0.00400   0.11300\r\nO2   0.72100   0.31900   0.11300\r\nO-H   0.22100   0.18600   0.11300\r\nOb1   0.05500   0.38700   0.35300\r\nOb2   0.72400   0.16700   0.35300\r\nOb3   0.55000   0.44800   0.33600\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/C-42b.cif",
    "content": "data_global\r\n_amcsd_formula_title 'Bi2 O3'\r\nloop_\r\n_publ_author_name\r\n'Sillen L'\r\n_journal_name_full 'Arkiv for Kemi, Mineralogi och Geologi'\r\n_journal_volume A12 \r\n_journal_year 1938\r\n_journal_page_first 1\r\n_journal_page_last 15\r\n_publ_section_title\r\n;\r\n X-Ray Studies on Bismuth Trioxide\r\n _cod_database_code 1010312\r\n;\r\n_database_code_amcsd 0017238\r\n_chemical_formula_sum 'Bi2 O3'\r\n_chemical_formula_sum ''\r\n_cell_length_a 10.93\r\n_cell_length_b 10.93\r\n_cell_length_c 5.62\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 90\r\n_cell_volume 671.393\r\n_exptl_crystal_density_diffrn      9.220\r\n_symmetry_space_group_name_H-M 'C -4 2 b'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  '1/2+x,1/2+y,z'\r\n  '1/2+y,x,z'\r\n  '+y,1/2+x,z'\r\n  '1/2-x,y,-z'\r\n  '-x,1/2+y,-z'\r\n  '1/2-y,-x,z'\r\n  '-y,1/2-x,z'\r\n  '1/2+x,-y,-z'\r\n  '+x,1/2-y,-z'\r\n  'y,-x,-z'\r\n  '1/2+y,1/2-x,-z'\r\n  '-x,-y,z'\r\n  '1/2-x,1/2-y,z'\r\n  '-y,x,-z'\r\n  '1/2-y,1/2+x,-z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\nBi1   0.13620   0.11380   0.25000\r\nO1   0.02240   0.25000   0.00000\r\nO2   0.02240   0.25000   0.50000\r\nO3   0.25000   0.25000   0.00000\r\nO4   0.00000   0.00000   0.50000\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/C2.cif",
    "content": "data_global\r\n_amcsd_formula_title 'Po'\r\nloop_\r\n_publ_author_name\r\n'Rollier M'\r\n'Hendricks S'\r\n'Maxwell L'\r\n_journal_name_full 'Journal of Chemical Physics'\r\n_journal_volume 4 \r\n_journal_year 1936\r\n_journal_page_first 648\r\n_journal_page_last 652\r\n_publ_section_title\r\n;\r\n The Crystal Structure of Polonium by Electron Diffraction\r\n _cod_database_code 1010519\r\n;\r\n_database_code_amcsd 0017430\r\n_chemical_formula_sum 'Po'\r\n_chemical_formula_sum ''\r\n_cell_length_a 7.42\r\n_cell_length_b 4.29\r\n_cell_length_c 14.1\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 92\r\n_cell_angle_gamma 90\r\n_cell_volume 448.555\r\n_exptl_crystal_density_diffrn      9.285\r\n_symmetry_space_group_name_H-M 'C 1 2 1'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  '1/2+x,1/2+y,z'\r\n  '-x,y,-z'\r\n  '1/2-x,1/2+y,-z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\nPo1   0.05000   0.27000   0.24500\r\nPo2   0.13000  -0.20000   0.43000\r\nPo3   0.35000   0.40000   0.07000\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/C222.cif",
    "content": "data_global\r\n_amcsd_formula_title 'Cd(NH3)2Cl2'\r\nloop_\r\n_publ_author_name\r\n'MacGillavry C H'\r\n'Bijvoet J M'\r\n_journal_name_full 'Zeitschrift fur Kristallographie'\r\n_journal_volume 94 \r\n_journal_year 1936\r\n_journal_page_first 231\r\n_journal_page_last 245\r\n_publ_section_title\r\n;\r\n Die kristallstruktur der cadmium-und quecksilber-diammin-dihalogenide\r\n;\r\n_database_code_amcsd 0010558\r\n_chemical_compound_source 'Synthetic'\r\n_chemical_formula_sum 'Cd N2 Cl2'\r\n_chemical_formula_sum ''\r\n_cell_length_a 8.196\r\n_cell_length_b 8.307\r\n_cell_length_c 3.968\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 90\r\n_cell_volume 270.158\r\n_exptl_crystal_density_diffrn      2.598\r\n_symmetry_space_group_name_H-M 'C 2 2 2'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  '1/2+x,1/2+y,z'\r\n  '-x,y,-z'\r\n  '1/2-x,1/2+y,-z'\r\n  'x,-y,-z'\r\n  '1/2+x,1/2-y,-z'\r\n  '-x,-y,z'\r\n  '1/2-x,1/2-y,z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\nCd   0.00000   0.00000   0.00000\r\nN    0.00000   0.25000   0.00000\r\nCl   0.22600   0.00000   0.50000\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/C222_1.cif",
    "content": "data_global\r\n_amcsd_formula_title 'SiO2'\r\nloop_\r\n_publ_author_name\r\n'Boisen M B'\r\n'Gibbs G V'\r\n'Bukowinski M S T'\r\n_journal_name_full 'Physics and Chemistry of Minerals'\r\n_journal_volume 21 \r\n_journal_year 1994\r\n_journal_page_first 269\r\n_journal_page_last 284\r\n_publ_section_title\r\n;\r\n Framework silica structures generated using simulated annealing\r\n with a potential energy function based on an H6Si2O7 molecule\r\n Sample: 7\r\n;\r\n_database_code_amcsd 0007872\r\n_chemical_formula_sum 'Si O2'\r\n_chemical_formula_sum ''\r\n_cell_length_a 7.4953\r\n_cell_length_b 8.6203\r\n_cell_length_c 4.7305\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 90\r\n_cell_volume 305.646\r\n_exptl_crystal_density_diffrn      2.611\r\n_symmetry_space_group_name_H-M 'C 2 2 21'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  '1/2+x,1/2+y,z'\r\n  '-x,y,1/2-z'\r\n  '1/2-x,1/2+y,1/2-z'\r\n  'x,-y,-z'\r\n  '1/2+x,1/2-y,-z'\r\n  '-x,-y,1/2+z'\r\n  '1/2-x,1/2-y,1/2+z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\nSi   0.19691   0.15247   0.35535\r\nO1   0.31542   0.20927   0.08746\r\nO2   0.00000   0.10526   0.25000\r\nO3   0.71315   0.00000   0.00000\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/C2=c.cif",
    "content": "data_global\r\n_chemical_name_mineral 'Erdite'\r\nloop_\r\n_publ_author_name\r\n'Konnert J A'\r\n'Evans H T'\r\n_journal_name_full 'American Mineralogist'\r\n_journal_volume 65 \r\n_journal_year 1980\r\n_journal_page_first 516\r\n_journal_page_last 521\r\n_publ_section_title\r\n;\r\n The crystal structure of erdite, NaFeS2*2H2O\r\n;\r\n_database_code_amcsd 0000785\r\n_chemical_compound_source 'Coyote Peak, Humboldt County, California, USA'\r\n_chemical_formula_sum 'Na Fe S2 (O2 H4)'\r\n_chemical_formula_sum ''\r\n_cell_length_a 10.693\r\n_cell_length_b 9.115\r\n_cell_length_c 5.507\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 92.17\r\n_cell_angle_gamma 90\r\n_cell_volume 536.364\r\n_exptl_crystal_density_diffrn      2.217\r\n_symmetry_space_group_name_H-M 'C 1 2/c 1'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  '1/2+x,1/2+y,z'\r\n  'x,-y,1/2+z'\r\n  '1/2+x,1/2-y,1/2+z'\r\n  '-x,y,1/2-z'\r\n  '1/2-x,1/2+y,1/2-z'\r\n  '-x,-y,-z'\r\n  '1/2-x,1/2-y,-z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\nNa   0.00000   0.38700   0.25000\r\nFe   0.00000  -0.00100   0.25000\r\nS   0.11800   0.86400   0.00800\r\nWat   0.13000   0.58400   0.41400\r\nloop_\r\n_atom_site_aniso_label\r\n_atom_site_aniso_U_11\r\n_atom_site_aniso_U_22\r\n_atom_site_aniso_U_33\r\n_atom_site_aniso_U_12\r\n_atom_site_aniso_U_13\r\n_atom_site_aniso_U_23\r\nNa 0.04200 0.03600 0.01700 0.00000 0.00700 0.00000\r\nFe 0.02100 0.01100 0.00700 0.00000 0.00200 0.00000\r\nS 0.01900 0.02200 0.01000 0.00900 -0.00700 -0.00100\r\nWat 0.06500 0.02700 0.00400 -0.01200 0.00100 0.00500\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/C2=m.cif",
    "content": "data_global\r\n_chemical_name_mineral 'Haggite'\r\nloop_\r\n_publ_author_name\r\n'Evans H T'\r\n'Mrose M E'\r\n_journal_name_full 'American Mineralogist'\r\n_journal_volume 45 \r\n_journal_year 1960\r\n_journal_page_first 1144\r\n_journal_page_last 1166\r\n_publ_section_title\r\n;\r\n A crystal chemical study of the vanadium oxide minerals, haggite and doloresite\r\n;\r\n_database_code_amcsd 0000094\r\n_chemical_formula_sum 'V2 O5'\r\n_chemical_formula_sum ''\r\n_cell_length_a 12.17\r\n_cell_length_b 2.99\r\n_cell_length_c 4.83\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 98.25\r\n_cell_angle_gamma 90\r\n_cell_volume 173.937\r\n_exptl_crystal_density_diffrn      3.473\r\n_symmetry_space_group_name_H-M 'C 1 2/m 1'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  '1/2+x,1/2+y,z'\r\n  'x,-y,z'\r\n  '1/2+x,1/2-y,z'\r\n  '-x,y,-z'\r\n  '1/2-x,1/2+y,-z'\r\n  '-x,-y,-z'\r\n  '1/2-x,1/2-y,-z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\n_atom_site_U_iso_or_equiv\r\nV   0.13780   0.00000   0.39670   0.05269\r\nO1   0.00000   0.00000   0.50000   0.07434\r\nO2   0.60940   0.00000   0.13300   0.06206\r\nO3   0.30260   0.00000   0.34600   0.06510\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/Cc.cif",
    "content": "data_global\r\n_chemical_name_mineral 'Tenorite'\r\nloop_\r\n_publ_author_name\r\n'Asbrink S'\r\n'Waskowska A'\r\n_journal_name_full 'Journal of Physics: Condensed Matter'\r\n_journal_volume 3 \r\n_journal_year 1991\r\n_journal_page_first 8173\r\n_journal_page_last 8180\r\n_publ_section_title\r\n;\r\n CuO: x-ray single-crystal structure determination at 196 K and room temperature\r\n Note: T = room temperature\r\n;\r\n_database_code_amcsd 0018822\r\n_chemical_compound_source 'Synthetic'\r\n_chemical_formula_sum 'Cu O'\r\n_chemical_formula_sum ''\r\n_cell_length_a 4.6927\r\n_cell_length_b 3.4283\r\n_cell_length_c 5.1370\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 99.546\r\n_cell_angle_gamma 90\r\n_cell_volume 81.500\r\n_exptl_crystal_density_diffrn      6.483\r\n_symmetry_space_group_name_H-M 'C 1 c 1'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  '1/2+x,1/2+y,z'\r\n  'x,-y,1/2+z'\r\n  '1/2+x,1/2-y,1/2+z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\nCu   0.25000   0.24670   0.00000\r\nO  -0.01040   0.41770   0.26020\r\nloop_\r\n_atom_site_aniso_label\r\n_atom_site_aniso_U_11\r\n_atom_site_aniso_U_22\r\n_atom_site_aniso_U_33\r\n_atom_site_aniso_U_12\r\n_atom_site_aniso_U_13\r\n_atom_site_aniso_U_23\r\nCu 0.00660 0.00870 0.00580 0.00180 0.00220 0.00000\r\nO 0.00620 0.01190 0.00540 -0.00200 0.00310 -0.00050\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/Ccca.cif",
    "content": "data_global\r\n_amcsd_formula_title 'Pb(ClO2)2'\r\nloop_\r\n_publ_author_name\r\n'Okuda M'\r\n'Ishihara M'\r\n'Yamanaka M'\r\n'Ohba S'\r\n'Saito Y'\r\n_journal_name_full 'Acta Crystallographica, Section C'\r\n_journal_volume 46 \r\n_journal_year 1990\r\n_journal_page_first 1755\r\n_journal_page_last 1759\r\n_publ_section_title\r\n;\r\n Structures of lead chlorite, magnesium chlorite hexahydrate\r\n and silver chlorite\r\n Sample: Compound (I)\r\n;\r\n_database_code_amcsd 0010179\r\n_chemical_formula_sum 'Pb Cl2 O2'\r\n_chemical_formula_sum ''\r\n_cell_length_a 6.004\r\n_cell_length_b 12.504\r\n_cell_length_c 6.010\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 90\r\n_cell_volume 451.195\r\n_exptl_crystal_density_diffrn      9.130\r\n_symmetry_space_group_name_H-M 'C c c a'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  '1/2+x,1/2+y,z'\r\n  'x,1/2-y,1/2+z'\r\n  '1/2+x,-y,1/2+z'\r\n  '-x,y,-z'\r\n  '1/2-x,1/2+y,-z'\r\n  '-x,1/2+y,1/2+z'\r\n  '1/2-x,+y,1/2+z'\r\n  'x,-y,-z'\r\n  '1/2+x,1/2-y,-z'\r\n  'x,1/2+y,1/2-z'\r\n  '1/2+x,+y,1/2-z'\r\n  '-x,-y,z'\r\n  '1/2-x,1/2-y,z'\r\n  '-x,1/2-y,1/2-z'\r\n  '1/2-x,-y,1/2-z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\n_atom_site_U_iso_or_equiv\r\nPb   0.00000   0.25000   0.25000   0.01646\r\nCl   0.00000  -0.07360   0.25000   0.02153\r\nO  -0.15510  -0.14370   0.40360   0.02406\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/Cccm.cif",
    "content": "data_global\r\n_amcsd_formula_title 'I3 Th'\r\nloop_\r\n_publ_author_name\r\n'Beck H'\r\n'Strobel C'\r\n_journal_name_full 'Angewandte Chemie'\r\n_journal_volume 94 \r\n_journal_year 1982\r\n_journal_page_first 558\r\n_journal_page_last 559\r\n_publ_section_title\r\n;\r\n Th I3, ein Janus unter den Verbindungen mit Metall-Metall-Wechselwirkungen\r\n _cod_database_code 1008186\r\n;\r\n_database_code_amcsd 0016123\r\n_chemical_formula_sum 'Th I3'\r\n_chemical_formula_sum ''\r\n_cell_length_a 8.735\r\n_cell_length_b 20.297\r\n_cell_length_c 14.661\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 90\r\n_cell_volume 2599.312\r\n_exptl_crystal_density_diffrn      6.263\r\n_symmetry_space_group_name_H-M 'C c c m'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  '1/2+x,1/2+y,z'\r\n  'x,-y,1/2+z'\r\n  '1/2+x,1/2-y,1/2+z'\r\n  '-x,y,1/2-z'\r\n  '1/2-x,1/2+y,1/2-z'\r\n  '-x,y,1/2+z'\r\n  '1/2-x,1/2+y,1/2+z'\r\n  'x,-y,1/2-z'\r\n  '1/2+x,1/2-y,1/2-z'\r\n  'x,y,-z'\r\n  '1/2+x,1/2+y,-z'\r\n  '-x,-y,z'\r\n  '1/2-x,1/2-y,z'\r\n  '-x,-y,-z'\r\n  '1/2-x,1/2-y,-z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\nTh1   0.00000   0.50000   0.00000\r\nTh2   0.00000   0.50000   0.25000\r\nTh3   0.32700   0.17160   0.00000\r\nI1   0.25000   0.25000   0.18260\r\nI2   0.28940   0.45100   0.13020\r\nI3   0.11330   0.37730   0.37080\r\nI4  -0.03180   0.19940   0.00000\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/Ccm2_1.cif",
    "content": "data_global\r\n_chemical_name_mineral 'Polarite'\r\nloop_\r\n_publ_author_name\r\n'Mayer H W'\r\n'Bhatt Y C'\r\n'Schubert K'\r\n_journal_name_full 'Journal of the Less-Common Metals'\r\n_journal_volume 66 \r\n_journal_year 1979\r\n_journal_page_first 1\r\n_journal_page_last 9\r\n_publ_section_title\r\n;\r\n Kristallstrukturen von Pd2PbBi und Pd4PbBi3\r\n;\r\n_database_code_amcsd 0014143\r\n_chemical_compound_source 'Synthetic'\r\n_chemical_formula_sum 'Pd2 Pb Bi'\r\n_chemical_formula_sum ''\r\n_cell_length_a 7.150\r\n_cell_length_b 8.681\r\n_cell_length_c 10.535\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 90\r\n_cell_volume 653.898\r\n_exptl_crystal_density_diffrn     12.779\r\n_symmetry_space_group_name_H-M 'C c m 21'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  '1/2+x,1/2+y,z'\r\n  '-x,y,1/2+z'\r\n  '1/2-x,1/2+y,1/2+z'\r\n  'x,-y,z'\r\n  '1/2+x,1/2-y,z'\r\n  '-x,-y,1/2+z'\r\n  '1/2-x,1/2-y,1/2+z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\nPda1   0.08200   0.00000   0.26900\r\nPda2   0.67300   0.00000   0.26400\r\nPdb   0.11900   0.25600   0.43700\r\nPbb   0.12000   0.00000   0.00000\r\nPba   0.63800   0.00000   0.98900\r\nBib   0.12200   0.27630   0.71000\r\nloop_\r\n_atom_site_aniso_label\r\n_atom_site_aniso_U_11\r\n_atom_site_aniso_U_22\r\n_atom_site_aniso_U_33\r\n_atom_site_aniso_U_12\r\n_atom_site_aniso_U_13\r\n_atom_site_aniso_U_23\r\nPdb 0.16316 0.03818 0.20241 0.00000 -0.01145 0.00463\r\nPbb 0.01813 0.14889 0.11808 0.00000 0.00000 0.00000\r\nPba 0.02331 0.13744 0.11808 0.00000 0.01145 0.00000\r\nBib 0.01813 0.00000 0.03936 -0.00314 -0.00763 0.00463\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/Ccmb.cif",
    "content": "data_global\r\n_chemical_name_mineral 'Sternbergite'\r\nloop_\r\n_publ_author_name\r\n'Pertlik F'\r\n_journal_name_full 'Neues Jahrbuch fur Mineralogie, Monatshefte'\r\n_journal_volume 1987 \r\n_journal_year 1987\r\n_journal_page_first 458\r\n_journal_page_last 464\r\n_publ_section_title\r\n;\r\n Crystal structure of sternbergite, AgFe2S3\r\n;\r\n_database_code_amcsd 0014818\r\n_chemical_compound_source 'Medenec, Krusne hory Mts, Czechoslovakia'\r\n_chemical_formula_sum 'Ag Fe2 S3'\r\n_chemical_formula_sum ''\r\n_cell_length_a 6.615\r\n_cell_length_b 11.639\r\n_cell_length_c 12.693\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 90\r\n_cell_volume 977.259\r\n_exptl_crystal_density_diffrn      4.292\r\n_symmetry_space_group_name_H-M 'C c m b'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  '1/2+x,1/2+y,z'\r\n  '1/2-x,y,1/2+z'\r\n  '-x,1/2+y,1/2+z'\r\n  '1/2+x,-y,1/2-z'\r\n  '+x,1/2-y,1/2-z'\r\n  'x,-y,z'\r\n  '1/2+x,1/2-y,z'\r\n  '-x,y,-z'\r\n  '1/2-x,1/2+y,-z'\r\n  '1/2+x,y,1/2-z'\r\n  '+x,1/2+y,1/2-z'\r\n  '1/2-x,-y,1/2+z'\r\n  '-x,1/2-y,1/2+z'\r\n  '-x,-y,-z'\r\n  '1/2-x,1/2-y,-z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\nAg   0.85310   0.00000   0.69960\r\nFe   0.83350   0.33510   0.56350\r\nS1   0.69520   0.00000   0.88000\r\nS2   0.66580   0.17860   0.61790\r\nloop_\r\n_atom_site_aniso_label\r\n_atom_site_aniso_U_11\r\n_atom_site_aniso_U_22\r\n_atom_site_aniso_U_33\r\n_atom_site_aniso_U_12\r\n_atom_site_aniso_U_13\r\n_atom_site_aniso_U_23\r\nAg 0.02830 0.02480 0.05960 0.00000 0.00830 0.00000\r\nFe 0.01860 0.00870 0.02610 0.00100 0.00170 0.00040\r\nS1 0.03230 0.00990 0.04400 0.00000 -0.00890 0.00000\r\nS2 0.02240 0.01420 0.03400 -0.00410 -0.00080 0.00410\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/Ccmm.cif",
    "content": "data_global\r\n_amcsd_formula_title 'I3 U'\r\nloop_\r\n_publ_author_name\r\n'Levy J'\r\n'Taylor J'\r\n'Wilson P'\r\n_journal_name_full 'Acta Crystallographica, Section B'\r\n_journal_volume 31 \r\n_journal_year 1975\r\n_journal_page_first 880\r\n_journal_page_last 882\r\n_publ_section_title\r\n;\r\n The structure of uranium(III) triiodide by neutron diffraction\r\n _cod_database_code 1008021\r\n;\r\n_database_code_amcsd 0015969\r\n_chemical_formula_sum 'U I3'\r\n_chemical_formula_sum ''\r\n_cell_length_a 14.011\r\n_cell_length_b 4.328\r\n_cell_length_c 10.005\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 90\r\n_cell_volume 606.699\r\n_exptl_crystal_density_diffrn      6.774\r\n_symmetry_space_group_name_H-M 'C c m m'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  '1/2+x,1/2+y,z'\r\n  '-x,y,1/2+z'\r\n  '1/2-x,1/2+y,1/2+z'\r\n  'x,-y,1/2-z'\r\n  '1/2+x,1/2-y,1/2-z'\r\n  'x,-y,z'\r\n  '1/2+x,1/2-y,z'\r\n  '-x,y,-z'\r\n  '1/2-x,1/2+y,-z'\r\n  'x,y,1/2-z'\r\n  '1/2+x,1/2+y,1/2-z'\r\n  '-x,-y,1/2+z'\r\n  '1/2-x,1/2-y,1/2+z'\r\n  '-x,-y,-z'\r\n  '1/2-x,1/2-y,-z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\nU1   0.25620   0.00000   0.25000\r\nI1  -0.07890   0.00000   0.25000\r\nI2   0.35570   0.00000  -0.06610\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/Cm.cif",
    "content": "data_global\r\n_amcsd_formula_title 'Pd2PbBi'\r\nloop_\r\n_publ_author_name\r\n'Mayer H W'\r\n'Bhatt Y C'\r\n'Schubert K'\r\n_journal_name_full 'Journal of the Less-Common Metals'\r\n_journal_volume 66 \r\n_journal_year 1979\r\n_journal_page_first 1\r\n_journal_page_last 9\r\n_publ_section_title\r\n;\r\n Kristallstrukturen von Pd2PbBi und Pd4PbBi3\r\n;\r\n_database_code_amcsd 0014144\r\n_chemical_formula_sum 'Pd2 Pb Bi'\r\n_chemical_formula_sum ''\r\n_cell_length_a 7.171\r\n_cell_length_b 8.677\r\n_cell_length_c 5.575\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 71.74\r\n_cell_angle_gamma 90\r\n_cell_volume 329.424\r\n_exptl_crystal_density_diffrn     12.683\r\n_symmetry_space_group_name_H-M 'C 1 m 1'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  '1/2+x,1/2+y,z'\r\n  'x,-y,z'\r\n  '1/2+x,1/2-y,z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\nPda1   0.96100   0.00000   0.53800\r\nPda2   0.55100   0.00000   0.52800\r\nPdb   0.91700   0.25600   0.87600\r\nPba1   0.12000   0.00000   0.00000\r\nPba2   0.64100   0.00000   0.97800\r\nBib   0.28100   0.22400   0.42000\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/Cmc2_1.cif",
    "content": "data_global\r\n_amcsd_formula_title 'O Sn'\r\nloop_\r\n_publ_author_name\r\n'Donaldson J'\r\n'Moser W'\r\n'Simpson W'\r\n_journal_name_full 'Acta Crystallographica'\r\n_journal_volume 16 \r\n_journal_year 1963\r\n_journal_page_first A22\r\n_journal_page_last A22\r\n_publ_section_title\r\n;\r\n The structure of the red modification of tin(II)oxide\r\n _cod_database_code 1100020\r\n;\r\n_database_code_amcsd 0018222\r\n_chemical_formula_sum 'Sn O'\r\n_chemical_formula_sum ''\r\n_cell_length_a 5.\r\n_cell_length_b 5.72\r\n_cell_length_c 11.12\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 90\r\n_cell_volume 318.032\r\n_exptl_crystal_density_diffrn      5.627\r\n_symmetry_space_group_name_H-M 'C m c 21'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  '1/2+x,1/2+y,z'\r\n  'x,-y,1/2+z'\r\n  '1/2+x,1/2-y,1/2+z'\r\n  '-x,y,z'\r\n  '1/2-x,1/2+y,z'\r\n  '-x,-y,1/2+z'\r\n  '1/2-x,1/2-y,1/2+z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\nSn1   0.00000   0.00000   0.00000\r\nSn2   0.00000   0.44100   0.25400\r\nO1   0.18000   0.25000   0.38000\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/Cmca.cif",
    "content": "data_global\r\n_chemical_name_mineral 'Gallium'\r\nloop_\r\n_publ_author_name\r\n'Sharma B D'\r\n'Donohue J'\r\n_journal_name_full 'Zeitschrift fur Kristallographie'\r\n_journal_volume 117 \r\n_journal_year 1962\r\n_journal_page_first 293\r\n_journal_page_last 300\r\n_publ_section_title\r\n;\r\n A refinement of the crystal structure of gallium\r\n;\r\n_database_code_amcsd 0010597\r\n_chemical_formula_sum 'Ga'\r\n_chemical_formula_sum ''\r\n_cell_length_a 4.523\r\n_cell_length_b 7.661\r\n_cell_length_c 4.524\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 90\r\n_cell_volume 156.760\r\n_exptl_crystal_density_diffrn      5.909\r\n_symmetry_space_group_name_H-M 'C m c a'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  '1/2+x,1/2+y,z'\r\n  'x,1/2-y,1/2+z'\r\n  '1/2+x,-y,1/2+z'\r\n  '-x,1/2+y,1/2-z'\r\n  '1/2-x,+y,1/2-z'\r\n  '-x,y,z'\r\n  '1/2-x,1/2+y,z'\r\n  'x,-y,-z'\r\n  '1/2+x,1/2-y,-z'\r\n  'x,1/2+y,1/2-z'\r\n  '1/2+x,+y,1/2-z'\r\n  '-x,1/2-y,1/2+z'\r\n  '1/2-x,-y,1/2+z'\r\n  '-x,-y,-z'\r\n  '1/2-x,1/2-y,-z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\n_atom_site_U_iso_or_equiv\r\nGa   0.00000   0.15490   0.08100   0.00608\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/Cmcm.cif",
    "content": "data_global\r\n_chemical_name_mineral 'Herzenbergite'\r\nloop_\r\n_publ_author_name\r\n'Schnering H G'\r\n'Wiedemeier H'\r\n_journal_name_full 'Zeitschrift fur Kristallographie'\r\n_journal_volume 156 \r\n_journal_year 1981\r\n_journal_page_first 143\r\n_journal_page_last 150\r\n_publ_section_title\r\n;\r\n The high temperature structure of beta-SnS and beta-SnSe\r\n and the B16-to-B33 type gamma-transition path\r\n Sample: T = 905 K\r\n;\r\n_database_code_amcsd 0010837\r\n_chemical_compound_source 'Synthetic'\r\n_chemical_formula_sum 'Sn S'\r\n_chemical_formula_sum ''\r\n_cell_length_a 4.148\r\n_cell_length_b 11.480\r\n_cell_length_c 4.177\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 90\r\n_cell_volume 198.905\r\n_exptl_crystal_density_diffrn      5.035\r\n_symmetry_space_group_name_H-M 'C m c m'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  '1/2+x,1/2+y,z'\r\n  'x,-y,1/2+z'\r\n  '1/2+x,1/2-y,1/2+z'\r\n  '-x,y,1/2-z'\r\n  '1/2-x,1/2+y,1/2-z'\r\n  '-x,y,z'\r\n  '1/2-x,1/2+y,z'\r\n  'x,-y,-z'\r\n  '1/2+x,1/2-y,-z'\r\n  'x,y,1/2-z'\r\n  '1/2+x,1/2+y,1/2-z'\r\n  '-x,-y,1/2+z'\r\n  '1/2-x,1/2-y,1/2+z'\r\n  '-x,-y,-z'\r\n  '1/2-x,1/2-y,-z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\nSn   0.00000   0.12000   0.25000\r\nS   0.00000   0.34900   0.25000\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/Cmm2.cif",
    "content": "data_global\r\n_amcsd_formula_title 'Cd(NH3)2Cl2'\r\nloop_\r\n_publ_author_name\r\n'MacGillavry C H'\r\n'Bijvoet J M'\r\n_journal_name_full 'Zeitschrift fur Kristallographie'\r\n_journal_volume 94 \r\n_journal_year 1936\r\n_journal_page_first 231\r\n_journal_page_last 245\r\n_publ_section_title\r\n;\r\n Die kristallstruktur der cadmium-und quecksilber-diammin-dihalogenide\r\n;\r\n_database_code_amcsd 0010556\r\n_chemical_compound_source 'Synthetic'\r\n_chemical_formula_sum 'Cd N2 Cl2'\r\n_chemical_formula_sum ''\r\n_cell_length_a 8.196\r\n_cell_length_b 8.307\r\n_cell_length_c 3.968\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 90\r\n_cell_volume 270.158\r\n_exptl_crystal_density_diffrn      2.598\r\n_symmetry_space_group_name_H-M 'C m m 2'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  '1/2+x,1/2+y,z'\r\n  'x,-y,z'\r\n  '1/2+x,1/2-y,z'\r\n  '-x,y,z'\r\n  '1/2-x,1/2+y,z'\r\n  '-x,-y,z'\r\n  '1/2-x,1/2-y,z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\nCd   0.00000   0.00000   0.00000\r\nN    0.00000   0.25000   0.00000\r\nCl   0.22600   0.00000   0.50000\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/Cmma.cif",
    "content": "data_global\r\n_chemical_name_mineral 'Litharge'\r\nloop_\r\n_publ_author_name\r\n'Boher P'\r\n'Garnier P'\r\n'Gavarri J R'\r\n'Hewat A W'\r\n_journal_name_full 'Journal of Solid State Chemistry'\r\n_journal_volume 57 \r\n_journal_year 1985\r\n_journal_page_first 343\r\n_journal_page_last 350\r\n_publ_section_title\r\n;\r\n Monoxyde quadratique PbO alpha(I): Description de la transition structurale ferroelastique\r\n Method: Neutron Diffraction\r\n T = 2 K\r\n;\r\n_database_code_amcsd 0013536\r\n_chemical_compound_source 'Synthetic'\r\n_chemical_formula_sum 'Pb O'\r\n_chemical_formula_sum ''\r\n_cell_length_a 5.6124\r\n_cell_length_b 5.6089\r\n_cell_length_c 4.9924\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 90\r\n_cell_volume 157.158\r\n_exptl_crystal_density_diffrn      9.433\r\n_symmetry_space_group_name_H-M 'C m m a'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  '1/2+x,1/2+y,z'\r\n  '1/2+x,-y,z'\r\n  '+x,1/2-y,z'\r\n  '1/2-x,y,-z'\r\n  '-x,1/2+y,-z'\r\n  '-x,y,z'\r\n  '1/2-x,1/2+y,z'\r\n  'x,-y,-z'\r\n  '1/2+x,1/2-y,-z'\r\n  '1/2+x,y,-z'\r\n  '+x,1/2+y,-z'\r\n  '1/2-x,-y,z'\r\n  '-x,1/2-y,z'\r\n  '-x,-y,-z'\r\n  '1/2-x,1/2-y,-z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\nPb   0.00000   0.25000   0.76420\r\nO   0.25000   0.00000   0.00000\r\nloop_\r\n_atom_site_aniso_label\r\n_atom_site_aniso_U_11\r\n_atom_site_aniso_U_22\r\n_atom_site_aniso_U_33\r\n_atom_site_aniso_U_12\r\n_atom_site_aniso_U_13\r\n_atom_site_aniso_U_23\r\nPb 0.00911 0.00912 0.00303 0.00000 0.00000 0.00000\r\nO 0.01329 0.01329 0.01126 0.00000 0.00000 0.00000\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/Cmmm.cif",
    "content": "data_global\r\n_chemical_name_mineral 'Graphite'\r\nloop_\r\n_publ_author_name\r\n'Fayos J'\r\n_journal_name_full 'Journal of Solid State Chemistry'\r\n_journal_volume 148 \r\n_journal_year 1999\r\n_journal_page_first 278\r\n_journal_page_last 285\r\n_publ_section_title\r\n;\r\n Possible 3D carbon structures as progressive intermediates in graphite\r\n to diamond phase transition\r\n Note: mathematical model, phase: gra_crbl33_bo\r\n;\r\n_database_code_amcsd 0013980\r\n_chemical_formula_sum 'C'\r\n_chemical_formula_sum ''\r\n_cell_length_a 4.525\r\n_cell_length_b 5.334\r\n_cell_length_c 5.925\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 90\r\n_cell_volume 143.008\r\n_exptl_crystal_density_diffrn      2.231\r\n_symmetry_space_group_name_H-M 'C m m m'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  '1/2+x,1/2+y,z'\r\n  'x,-y,z'\r\n  '1/2+x,1/2-y,z'\r\n  '-x,y,-z'\r\n  '1/2-x,1/2+y,-z'\r\n  '-x,y,z'\r\n  '1/2-x,1/2+y,z'\r\n  'x,-y,-z'\r\n  '1/2+x,1/2-y,-z'\r\n  'x,y,-z'\r\n  '1/2+x,1/2+y,-z'\r\n  '-x,-y,z'\r\n  '1/2-x,1/2-y,z'\r\n  '-x,-y,-z'\r\n  '1/2-x,1/2-y,-z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\nC1   0.00000   0.13820   0.23030\r\nC2   0.25000   0.00000   0.12300\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/F-43m.cif",
    "content": "data_global\r\n_chemical_name_mineral 'Tiemannite'\r\nloop_\r\n_publ_author_name\r\n'Earley J W'\r\n_journal_name_full 'American Mineralogist'\r\n_journal_volume 35 \r\n_journal_year 1950\r\n_journal_page_first 337\r\n_journal_page_last 364\r\n_publ_section_title\r\n;\r\n Description and syntheses of the selenide minerals\r\n;\r\n_database_code_amcsd 0000050\r\n_chemical_formula_sum 'Hg Se'\r\n_chemical_formula_sum ''\r\n_cell_length_a 6.084\r\n_cell_length_b 6.084\r\n_cell_length_c 6.084\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 90\r\n_cell_volume 225.200\r\n_exptl_crystal_density_diffrn      8.245\r\n_symmetry_space_group_name_H-M 'F -4 3 m'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  'x,1/2+y,1/2+z'\r\n  '1/2+x,y,1/2+z'\r\n  '1/2+x,1/2+y,z'\r\n  '-z,x,-y'\r\n  '-z,1/2+x,1/2-y'\r\n  '1/2-z,x,1/2-y'\r\n  '1/2-z,1/2+x,-y'\r\n  '-y,z,-x'\r\n  '-y,1/2+z,1/2-x'\r\n  '1/2-y,z,1/2-x'\r\n  '1/2-y,1/2+z,-x'\r\n  '-x,y,-z'\r\n  '-x,1/2+y,1/2-z'\r\n  '1/2-x,y,1/2-z'\r\n  '1/2-x,1/2+y,-z'\r\n  'x,-z,-y'\r\n  'x,1/2-z,1/2-y'\r\n  '1/2+x,-z,1/2-y'\r\n  '1/2+x,1/2-z,-y'\r\n  'z,-y,-x'\r\n  'z,1/2-y,1/2-x'\r\n  '1/2+z,-y,1/2-x'\r\n  '1/2+z,1/2-y,-x'\r\n  'y,-x,-z'\r\n  'y,1/2-x,1/2-z'\r\n  '1/2+y,-x,1/2-z'\r\n  '1/2+y,1/2-x,-z'\r\n  'x,z,y'\r\n  'x,1/2+z,1/2+y'\r\n  '1/2+x,z,1/2+y'\r\n  '1/2+x,1/2+z,y'\r\n  'z,y,x'\r\n  'z,1/2+y,1/2+x'\r\n  '1/2+z,y,1/2+x'\r\n  '1/2+z,1/2+y,x'\r\n  'y,x,z'\r\n  'y,1/2+x,1/2+z'\r\n  '1/2+y,x,1/2+z'\r\n  '1/2+y,1/2+x,z'\r\n  '-z,-x,y'\r\n  '-z,1/2-x,1/2+y'\r\n  '1/2-z,-x,1/2+y'\r\n  '1/2-z,1/2-x,y'\r\n  '-y,-z,x'\r\n  '-y,1/2-z,1/2+x'\r\n  '1/2-y,-z,1/2+x'\r\n  '1/2-y,1/2-z,x'\r\n  '-x,-y,z'\r\n  '-x,1/2-y,1/2+z'\r\n  '1/2-x,-y,1/2+z'\r\n  '1/2-x,1/2-y,z'\r\n  'z,-x,-y'\r\n  'z,1/2-x,1/2-y'\r\n  '1/2+z,-x,1/2-y'\r\n  '1/2+z,1/2-x,-y'\r\n  'y,-z,-x'\r\n  'y,1/2-z,1/2-x'\r\n  '1/2+y,-z,1/2-x'\r\n  '1/2+y,1/2-z,-x'\r\n  'x,-y,-z'\r\n  'x,1/2-y,1/2-z'\r\n  '1/2+x,-y,1/2-z'\r\n  '1/2+x,1/2-y,-z'\r\n  '-x,z,-y'\r\n  '-x,1/2+z,1/2-y'\r\n  '1/2-x,z,1/2-y'\r\n  '1/2-x,1/2+z,-y'\r\n  '-z,y,-x'\r\n  '-z,1/2+y,1/2-x'\r\n  '1/2-z,y,1/2-x'\r\n  '1/2-z,1/2+y,-x'\r\n  '-y,x,-z'\r\n  '-y,1/2+x,1/2-z'\r\n  '1/2-y,x,1/2-z'\r\n  '1/2-y,1/2+x,-z'\r\n  '-x,-z,y'\r\n  '-x,1/2-z,1/2+y'\r\n  '1/2-x,-z,1/2+y'\r\n  '1/2-x,1/2-z,y'\r\n  '-z,-y,x'\r\n  '-z,1/2-y,1/2+x'\r\n  '1/2-z,-y,1/2+x'\r\n  '1/2-z,1/2-y,x'\r\n  '-y,-x,z'\r\n  '-y,1/2-x,1/2+z'\r\n  '1/2-y,-x,1/2+z'\r\n  '1/2-y,1/2-x,z'\r\n  'z,x,y'\r\n  'z,1/2+x,1/2+y'\r\n  '1/2+z,x,1/2+y'\r\n  '1/2+z,1/2+x,y'\r\n  'y,z,x'\r\n  'y,1/2+z,1/2+x'\r\n  '1/2+y,z,1/2+x'\r\n  '1/2+y,1/2+z,x'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\nHg   0.00000   0.00000   0.00000\r\nSe   0.25000   0.25000   0.25000\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/F1.cif",
    "content": "data_global\r\n_chemical_name_mineral 'Babefphite'\r\nloop_\r\n_publ_author_name\r\n'Simonov M A'\r\n'Egorov-Tismenko Y K'\r\n'Belov N V'\r\n_journal_name_full 'Soviet Physics Crystallography'\r\n_journal_volume 25 \r\n_journal_year 1980\r\n_journal_page_first 28\r\n_journal_page_last 31\r\n_publ_section_title\r\n;\r\n Use of modern X-ray equipment to solve fine problems of structural\r\n mineralogy by the example of the crystal structure of babefphite BaBe(PO4)F\r\n;\r\n_database_code_amcsd 0019355\r\n_chemical_compound_source 'Aunik F-Be deposit, Transbaikalia, Eastern-Siberian Region, Russia'\r\n_chemical_formula_sum 'Ba Be P O4 F'\r\n_chemical_formula_sum ''\r\n_cell_length_a 6.889\r\n_cell_length_b 16.814\r\n_cell_length_c 6.902\r\n_cell_angle_alpha 90.01\r\n_cell_angle_beta 89.99\r\n_cell_angle_gamma 90.32\r\n_cell_volume 799.458\r\n_exptl_crystal_density_diffrn      4.325\r\n_symmetry_space_group_name_H-M 'F 1'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  'x,1/2+y,1/2+z'\r\n  '1/2+x,y,1/2+z'\r\n  '1/2+x,1/2+y,z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\nBa1   0.00000   0.00000   0.00000\r\nBa2   0.25000   0.25000   0.25000\r\nBe1   0.26400   0.17030   0.74100\r\nBe2   0.51400   0.41840   0.51100\r\nP1   0.00990   0.08280   0.48950\r\nP2   0.26030   0.33250   0.76090\r\nO1   0.16370   0.07940   0.33340\r\nO2   0.89810   0.00260   0.50020\r\nO3   0.14670   0.25210   0.74980\r\nO4   0.34990   0.34880   0.56010\r\nO5   0.41270   0.32910   0.91670\r\nO6   0.35990   0.14830   0.94790\r\nO7   0.10020   0.09810   0.69040\r\nO8   0.10860   0.39910   0.80140\r\nF1   0.41800   0.17410   0.58180\r\nF2   0.16820   0.42350   0.16850\r\nloop_\r\n_atom_site_aniso_label\r\n_atom_site_aniso_U_11\r\n_atom_site_aniso_U_22\r\n_atom_site_aniso_U_33\r\n_atom_site_aniso_U_12\r\n_atom_site_aniso_U_13\r\n_atom_site_aniso_U_23\r\nBa1 0.00734 0.01203 0.01051 -0.00190 0.00038 0.00089\r\nBa2 0.00849 0.00975 0.00912 -0.00038 0.00051 -0.00165\r\nBe1 0.01267 0.01013 0.01267 -0.00760 0.00633 0.00507\r\nBe2 0.01267 0.00633 0.00380 0.00000 -0.00760 0.00126\r\nP1 0.00393 0.00507 0.00532 -0.00190 0.00000 0.00013\r\nP2 0.00456 0.00380 0.00481 -0.00013 0.00025 -0.00013\r\nO1 0.01013 0.01266 0.01013 0.00000 0.00380 -0.00126\r\nO2 0.00760 0.00507 0.01646 -0.00127 0.00127 -0.00253\r\nO3 0.00633 0.00507 0.01900 0.00000 0.00000 0.00126\r\nO4 0.01267 0.01013 0.02026 -0.00633 0.00380 -0.00253\r\nO5 0.00887 0.01266 0.01013 0.00000 -0.00253 -0.00126\r\nO6 0.01140 0.00887 0.00887 0.00000 -0.00253 0.00000\r\nO7 0.01013 0.00887 0.00760 -0.00253 -0.00253 0.00000\r\nO8 0.01267 0.00887 0.00887 0.00127 0.00253 0.00000\r\nF1 0.01013 0.01520 0.01140 -0.00253 0.00253 0.00000\r\nF2 0.00887 0.01266 0.01140 -0.00253 -0.00127 -0.00126\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/F2.cif",
    "content": "data_global\r\n_chemical_name_mineral 'Natrolite'\r\nloop_\r\n_publ_author_name\r\n'Wang H'\r\n'Bish D L'\r\n_journal_name_full 'American Mineralogist'\r\n_journal_volume 93 \r\n_journal_year 2008\r\n_journal_page_first 1191\r\n_journal_page_last 1194\r\n_publ_section_title\r\n;\r\n A PH2O-dependent structural phase transition in the zeolite natrolite\r\n Sample: alpha1-metanatrolite\r\n Note: T = 400 C, P = 0.15 mbar\r\n;\r\n_database_code_amcsd 0004617\r\n_chemical_compound_source 'Synthetic'\r\n_chemical_formula_sum 'Si3 Al2 Na2 O10'\r\n_chemical_formula_sum ''\r\n_cell_length_a 16.167\r\n_cell_length_b 16.938\r\n_cell_length_c 6.4380\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 89.680\r\n_cell_volume 1762.933\r\n_exptl_crystal_density_diffrn      2.594\r\n_symmetry_space_group_name_H-M 'F 1 1 2'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  'x,1/2+y,1/2+z'\r\n  '1/2+x,y,1/2+z'\r\n  '1/2+x,1/2+y,z'\r\n  '-x,-y,z'\r\n  '-x,1/2-y,1/2+z'\r\n  '1/2-x,-y,1/2+z'\r\n  '1/2-x,1/2-y,z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\n_atom_site_U_iso_or_equiv\r\nSi11   0.00000   0.00000   0.00000   0.00900\r\nSi12   0.25000   0.25000   0.25000   0.00900\r\nSi21   0.13560   0.23350   0.61900   0.00900\r\nSi22   0.11220  -0.01970   0.37000   0.00900\r\nAl11   0.02460   0.10660   0.61500   0.00900\r\nAl12   0.26850   0.13980   0.86300   0.00900\r\nNa1   0.06830   0.19110   0.14900   0.05100\r\nNa2   0.29120   0.07930   0.40300   0.05100\r\nO11   0.04200   0.06740   0.86000   0.02000\r\nO12   0.24170   0.17160   0.11200   0.02000\r\nO21   0.03900   0.20780   0.61400   0.02000\r\nO22   0.20960  -0.04000   0.35900   0.02000\r\nO31   0.09500   0.06860   0.43700   0.02000\r\nO32   0.14760   0.30440   0.78100   0.02000\r\nO41   0.07360  -0.07850   0.54300   0.02000\r\nO42   0.18740   0.15700   0.69300   0.02000\r\nO51   0.07070  -0.03810   0.14600   0.02000\r\nO52   0.16820   0.25840   0.39300   0.02000\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/Fd-3m.cif",
    "content": "data_global\r\n_chemical_name_mineral 'Violarite'\r\nloop_\r\n_publ_author_name\r\n'Vaughan D J'\r\n'Craig J R'\r\n_journal_name_full 'American Mineralogist'\r\n_journal_volume 70 \r\n_journal_year 1985\r\n_journal_page_first 1036\r\n_journal_page_last 1043\r\n_publ_section_title\r\n;\r\n The crystal chemistry of iron-nickel thiospinels\r\n Note: structure from ICSD\r\n;\r\n_database_code_amcsd 0001000\r\n_chemical_formula_sum 'Fe Ni2 S4'\r\n_chemical_formula_sum ''\r\n_cell_length_a 9.465\r\n_cell_length_b 9.465\r\n_cell_length_c 9.465\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 90\r\n_cell_volume 847.934\r\n_exptl_crystal_density_diffrn      4.723\r\n_symmetry_space_group_name_H-M 'F d -3 m'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  'x,1/2+y,1/2+z'\r\n  '1/2+x,y,1/2+z'\r\n  '1/2+x,1/2+y,z'\r\n  '3/4+z,1/2-x,1/4+y'\r\n  '3/4+z,-x,3/4+y'\r\n  '1/4+z,1/2-x,3/4+y'\r\n  '1/4+z,-x,1/4+y'\r\n  '3/4-y,1/2+z,1/4-x'\r\n  '3/4-y,+z,3/4-x'\r\n  '1/4-y,1/2+z,3/4-x'\r\n  '1/4-y,+z,1/4-x'\r\n  '3/4+x,1/2-y,1/4+z'\r\n  '3/4+x,-y,3/4+z'\r\n  '1/4+x,1/2-y,3/4+z'\r\n  '1/4+x,-y,1/4+z'\r\n  '3/4-z,1/2+x,1/4-y'\r\n  '3/4-z,+x,3/4-y'\r\n  '1/4-z,1/2+x,3/4-y'\r\n  '1/4-z,+x,1/4-y'\r\n  '3/4+y,1/2-z,1/4+x'\r\n  '3/4+y,-z,3/4+x'\r\n  '1/4+y,1/2-z,3/4+x'\r\n  '1/4+y,-z,1/4+x'\r\n  '3/4-x,1/2+y,1/4-z'\r\n  '3/4-x,+y,3/4-z'\r\n  '1/4-x,1/2+y,3/4-z'\r\n  '1/4-x,+y,1/4-z'\r\n  '1/2+x,3/4-z,1/4-y'\r\n  '1/2+x,1/4-z,3/4-y'\r\n  '+x,3/4-z,3/4-y'\r\n  '+x,1/4-z,1/4-y'\r\n  '1/2-z,3/4+y,1/4+x'\r\n  '1/2-z,1/4+y,3/4+x'\r\n  '-z,3/4+y,3/4+x'\r\n  '-z,1/4+y,1/4+x'\r\n  '1/2+y,3/4-x,1/4-z'\r\n  '1/2+y,1/4-x,3/4-z'\r\n  '+y,3/4-x,3/4-z'\r\n  '+y,1/4-x,1/4-z'\r\n  '1/2-x,3/4+z,1/4+y'\r\n  '1/2-x,1/4+z,3/4+y'\r\n  '-x,3/4+z,3/4+y'\r\n  '-x,1/4+z,1/4+y'\r\n  '1/2+z,3/4-y,1/4-x'\r\n  '1/2+z,1/4-y,3/4-x'\r\n  '+z,3/4-y,3/4-x'\r\n  '+z,1/4-y,1/4-x'\r\n  '1/2-y,3/4+x,1/4+z'\r\n  '1/2-y,1/4+x,3/4+z'\r\n  '-y,3/4+x,3/4+z'\r\n  '-y,1/4+x,1/4+z'\r\n  'x,1/2+z,1/2+y'\r\n  'x,+z,+y'\r\n  '1/2+x,1/2+z,+y'\r\n  '1/2+x,+z,1/2+y'\r\n  '-z,1/2-y,1/2-x'\r\n  '-z,-y,-x'\r\n  '1/2-z,1/2-y,-x'\r\n  '1/2-z,-y,1/2-x'\r\n  'y,1/2+x,1/2+z'\r\n  'y,+x,+z'\r\n  '1/2+y,1/2+x,+z'\r\n  '1/2+y,+x,1/2+z'\r\n  '-x,1/2-z,1/2-y'\r\n  '-x,-z,-y'\r\n  '1/2-x,1/2-z,-y'\r\n  '1/2-x,-z,1/2-y'\r\n  'z,1/2+y,1/2+x'\r\n  'z,+y,+x'\r\n  '1/2+z,1/2+y,+x'\r\n  '1/2+z,+y,1/2+x'\r\n  '-y,1/2-x,1/2-z'\r\n  '-y,-x,-z'\r\n  '1/2-y,1/2-x,-z'\r\n  '1/2-y,-x,1/2-z'\r\n  '3/4+z,1/4+x,1/2-y'\r\n  '3/4+z,3/4+x,-y'\r\n  '1/4+z,1/4+x,-y'\r\n  '1/4+z,3/4+x,1/2-y'\r\n  '3/4-y,1/4-z,1/2+x'\r\n  '3/4-y,3/4-z,+x'\r\n  '1/4-y,1/4-z,+x'\r\n  '1/4-y,3/4-z,1/2+x'\r\n  '3/4+x,1/4+y,1/2-z'\r\n  '3/4+x,3/4+y,-z'\r\n  '1/4+x,1/4+y,-z'\r\n  '1/4+x,3/4+y,1/2-z'\r\n  '3/4-z,1/4-x,1/2+y'\r\n  '3/4-z,3/4-x,+y'\r\n  '1/4-z,1/4-x,+y'\r\n  '1/4-z,3/4-x,1/2+y'\r\n  '3/4+y,1/4+z,1/2-x'\r\n  '3/4+y,3/4+z,-x'\r\n  '1/4+y,1/4+z,-x'\r\n  '1/4+y,3/4+z,1/2-x'\r\n  '3/4-x,1/4-y,1/2+z'\r\n  '3/4-x,3/4-y,+z'\r\n  '1/4-x,1/4-y,+z'\r\n  '1/4-x,3/4-y,1/2+z'\r\n  '-z,3/4+x,3/4+y'\r\n  '-z,1/4+x,1/4+y'\r\n  '1/2-z,3/4+x,1/4+y'\r\n  '1/2-z,1/4+x,3/4+y'\r\n  'y,3/4-z,3/4-x'\r\n  'y,1/4-z,1/4-x'\r\n  '1/2+y,3/4-z,1/4-x'\r\n  '1/2+y,1/4-z,3/4-x'\r\n  '-x,3/4+y,3/4+z'\r\n  '-x,1/4+y,1/4+z'\r\n  '1/2-x,3/4+y,1/4+z'\r\n  '1/2-x,1/4+y,3/4+z'\r\n  'z,3/4-x,3/4-y'\r\n  'z,1/4-x,1/4-y'\r\n  '1/2+z,3/4-x,1/4-y'\r\n  '1/2+z,1/4-x,3/4-y'\r\n  '-y,3/4+z,3/4+x'\r\n  '-y,1/4+z,1/4+x'\r\n  '1/2-y,3/4+z,1/4+x'\r\n  '1/2-y,1/4+z,3/4+x'\r\n  'x,3/4-y,3/4-z'\r\n  'x,1/4-y,1/4-z'\r\n  '1/2+x,3/4-y,1/4-z'\r\n  '1/2+x,1/4-y,3/4-z'\r\n  '1/4-x,1/2+z,3/4-y'\r\n  '1/4-x,+z,1/4-y'\r\n  '3/4-x,1/2+z,1/4-y'\r\n  '3/4-x,+z,3/4-y'\r\n  '1/4+z,1/2-y,3/4+x'\r\n  '1/4+z,-y,1/4+x'\r\n  '3/4+z,1/2-y,1/4+x'\r\n  '3/4+z,-y,3/4+x'\r\n  '1/4-y,1/2+x,3/4-z'\r\n  '1/4-y,+x,1/4-z'\r\n  '3/4-y,1/2+x,1/4-z'\r\n  '3/4-y,+x,3/4-z'\r\n  '1/4+x,1/2-z,3/4+y'\r\n  '1/4+x,-z,1/4+y'\r\n  '3/4+x,1/2-z,1/4+y'\r\n  '3/4+x,-z,3/4+y'\r\n  '1/4-z,1/2+y,3/4-x'\r\n  '1/4-z,+y,1/4-x'\r\n  '3/4-z,1/2+y,1/4-x'\r\n  '3/4-z,+y,3/4-x'\r\n  '1/4+y,1/2-x,3/4+z'\r\n  '1/4+y,-x,1/4+z'\r\n  '3/4+y,1/2-x,1/4+z'\r\n  '3/4+y,-x,3/4+z'\r\n  '3/4-x,3/4-z,y'\r\n  '3/4-x,1/4-z,1/2+y'\r\n  '1/4-x,3/4-z,1/2+y'\r\n  '1/4-x,1/4-z,y'\r\n  '3/4+z,3/4+y,-x'\r\n  '3/4+z,1/4+y,1/2-x'\r\n  '1/4+z,3/4+y,1/2-x'\r\n  '1/4+z,1/4+y,-x'\r\n  '3/4-y,3/4-x,z'\r\n  '3/4-y,1/4-x,1/2+z'\r\n  '1/4-y,3/4-x,1/2+z'\r\n  '1/4-y,1/4-x,z'\r\n  '3/4+x,3/4+z,-y'\r\n  '3/4+x,1/4+z,1/2-y'\r\n  '1/4+x,3/4+z,1/2-y'\r\n  '1/4+x,1/4+z,-y'\r\n  '3/4-z,3/4-y,x'\r\n  '3/4-z,1/4-y,1/2+x'\r\n  '1/4-z,3/4-y,1/2+x'\r\n  '1/4-z,1/4-y,x'\r\n  '3/4+y,3/4+x,-z'\r\n  '3/4+y,1/4+x,1/2-z'\r\n  '1/4+y,3/4+x,1/2-z'\r\n  '1/4+y,1/4+x,-z'\r\n  '-z,-x,-y'\r\n  '-z,1/2-x,1/2-y'\r\n  '1/2-z,-x,1/2-y'\r\n  '1/2-z,1/2-x,-y'\r\n  'y,z,x'\r\n  'y,1/2+z,1/2+x'\r\n  '1/2+y,z,1/2+x'\r\n  '1/2+y,1/2+z,x'\r\n  '-x,-y,-z'\r\n  '-x,1/2-y,1/2-z'\r\n  '1/2-x,-y,1/2-z'\r\n  '1/2-x,1/2-y,-z'\r\n  'z,x,y'\r\n  'z,1/2+x,1/2+y'\r\n  '1/2+z,x,1/2+y'\r\n  '1/2+z,1/2+x,y'\r\n  '-y,-z,-x'\r\n  '-y,1/2-z,1/2-x'\r\n  '1/2-y,-z,1/2-x'\r\n  '1/2-y,1/2-z,-x'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\nFe   0.12500   0.12500   0.12500\r\nNi   0.50000   0.50000   0.50000\r\nS   0.25900   0.25900   0.25900\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/Fd.cif",
    "content": "data_global\r\n_chemical_name_mineral 'Scolecite'\r\nloop_\r\n_publ_author_name\r\n'Stuckenschmidt E'\r\n'Joswig W'\r\n'Baur W H'\r\n'Hofmeister W'\r\n_journal_name_full 'Physics and Chemistry of Minerals'\r\n_journal_volume 24 \r\n_journal_year 1997\r\n_journal_page_first 403\r\n_journal_page_last 410\r\n_publ_section_title\r\n;\r\n Scolecite, Part I: Refinement of high-order data, separation of\r\n internal and external vibrational amplitudes from displacement parameters\r\n;\r\n_database_code_amcsd 0008025\r\n_chemical_formula_sum 'Ca Al2 Si3 O13 H6'\r\n_chemical_formula_sum ''\r\n_cell_length_a 18.502\r\n_cell_length_b 18.974\r\n_cell_length_c 6.525\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90.615\r\n_cell_angle_gamma 90\r\n_cell_volume 2290.515\r\n_exptl_crystal_density_diffrn      2.275\r\n_symmetry_space_group_name_H-M 'F 1 d 1'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  'x,1/2+y,1/2+z'\r\n  '1/2+x,y,1/2+z'\r\n  '1/2+x,1/2+y,z'\r\n  '1/4+x,1/4-y,1/4+z'\r\n  '1/4+x,3/4-y,3/4+z'\r\n  '3/4+x,1/4-y,3/4+z'\r\n  '3/4+x,3/4-y,1/4+z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\n_atom_site_U_iso_or_equiv\r\nCa   0.47393   0.73179   0.36470   0.01099\r\nAl1   0.53302   0.59168   0.61120   0.00588\r\nAl10   0.45014   0.41292   0.61564   0.00617\r\nSi1   0.50000   0.50440   0.00000   0.00603\r\nSi2   0.64989   0.70685   0.62019   0.00577\r\nSi20   0.33444   0.29244   0.62550   0.00564\r\nO1   0.51589   0.57450   0.86835   0.00164\r\nO10   0.48314   0.43812   0.85594   0.01280\r\nO2   0.57062   0.67464   0.57552   0.00858\r\nO20   0.41280   0.32898   0.64013   0.00906\r\nO3   0.59211   0.52626   0.52419   0.01076\r\nO30   0.39248   0.47951   0.53072   0.01229\r\nO4   0.45456   0.60378   0.45885   0.01146\r\nO40   0.51956   0.40642   0.43755   0.01202\r\nO5   0.43275   0.51631   0.15256   0.01214\r\nO50   0.57178   0.48514   0.13908   0.01113\r\nO6   0.53024   0.70120   0.06250   0.03280\r\nO60   0.44574   0.79528   0.66290   0.02920\r\nO7   0.56282   0.82040   0.35830   0.02430\r\nH61   0.51400   0.66700   0.00600   0.08000\r\nH62   0.56700   0.72700   0.02000   0.05200\r\nH601   0.42100   0.77200   0.71400   0.06000\r\nH602   0.48400   0.80000   0.72800   0.10000\r\nH71   0.60600   0.81900   0.33200   0.05000\r\nH72   0.55000   0.86100   0.37800   0.04600\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/Fdd2.cif",
    "content": "data_global\r\n_amcsd_formula_title 'Ge S2'\r\nloop_\r\n_publ_author_name\r\n'Zachariasen W'\r\n_journal_name_full 'Journal of Chemical Physics'\r\n_journal_volume 4 \r\n_journal_year 1936\r\n_journal_page_first 618\r\n_journal_page_last 619\r\n_publ_section_title\r\n;\r\n The Crystal Structure of Germanium Disulphide\r\n _cod_database_code 1010520\r\n;\r\n_database_code_amcsd 0017431\r\n_chemical_formula_sum 'Ge S2'\r\n_chemical_formula_sum ''\r\n_cell_length_a 11.66\r\n_cell_length_b 22.34\r\n_cell_length_c 6.86\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 90\r\n_cell_volume 1786.923\r\n_exptl_crystal_density_diffrn      3.050\r\n_symmetry_space_group_name_H-M 'F d d 2'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  'x,1/2+y,1/2+z'\r\n  '1/2+x,y,1/2+z'\r\n  '1/2+x,1/2+y,z'\r\n  '1/4+x,1/4-y,1/4+z'\r\n  '1/4+x,3/4-y,3/4+z'\r\n  '3/4+x,1/4-y,3/4+z'\r\n  '3/4+x,3/4-y,1/4+z'\r\n  '1/4-x,1/4+y,1/4+z'\r\n  '1/4-x,3/4+y,3/4+z'\r\n  '3/4-x,1/4+y,3/4+z'\r\n  '3/4-x,3/4+y,1/4+z'\r\n  '-x,1/2-y,1/2+z'\r\n  '-x,-y,+z'\r\n  '1/2-x,1/2-y,+z'\r\n  '1/2-x,-y,1/2+z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\nGe1   0.00000   0.00000   0.00000\r\nGe2   0.12500   0.13900   0.00000\r\nS1   0.02200   0.08000   0.18300\r\nS2   0.15200  -0.01400  -0.18300\r\nS3   0.06200   0.12500  -0.27800\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/Fddd.cif",
    "content": "data_global\r\n_chemical_name_mineral 'Plutonium-gamma'\r\nloop_\r\n_publ_author_name\r\n'Wyckoff R W G'\r\n_journal_name_full 'Crystal Structures'\r\n_journal_volume 1 \r\n_journal_year 1963\r\n_journal_page_first 7\r\n_journal_page_last 83\r\n_publ_section_title\r\n;\r\n Second edition. Interscience Publishers, New York, New York\r\n Sample at T = 508 K\r\n;\r\n_database_code_amcsd 0011266\r\n_chemical_formula_sum 'Pu'\r\n_chemical_formula_sum ''\r\n_cell_length_a 3.1587\r\n_cell_length_b 5.7682\r\n_cell_length_c 10.162\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 90\r\n_cell_volume 185.152\r\n_exptl_crystal_density_diffrn     17.507\r\n_symmetry_space_group_name_H-M 'F d d d'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  'x,1/2+y,1/2+z'\r\n  '1/2+x,y,1/2+z'\r\n  '1/2+x,1/2+y,z'\r\n  '3/4+x,1/4-y,3/4+z'\r\n  '3/4+x,3/4-y,1/4+z'\r\n  '1/4+x,1/4-y,1/4+z'\r\n  '1/4+x,3/4-y,3/4+z'\r\n  '-x,y,-z'\r\n  '-x,1/2+y,1/2-z'\r\n  '1/2-x,y,1/2-z'\r\n  '1/2-x,1/2+y,-z'\r\n  '1/4-x,3/4+y,3/4+z'\r\n  '1/4-x,1/4+y,1/4+z'\r\n  '3/4-x,3/4+y,1/4+z'\r\n  '3/4-x,1/4+y,3/4+z'\r\n  'x,-y,-z'\r\n  'x,1/2-y,1/2-z'\r\n  '1/2+x,-y,1/2-z'\r\n  '1/2+x,1/2-y,-z'\r\n  '3/4+x,3/4+y,1/4-z'\r\n  '3/4+x,1/4+y,3/4-z'\r\n  '1/4+x,3/4+y,3/4-z'\r\n  '1/4+x,1/4+y,1/4-z'\r\n  '-x,-y,z'\r\n  '-x,1/2-y,1/2+z'\r\n  '1/2-x,-y,1/2+z'\r\n  '1/2-x,1/2-y,z'\r\n  '1/4-x,1/4-y,1/4-z'\r\n  '1/4-x,3/4-y,3/4-z'\r\n  '3/4-x,1/4-y,3/4-z'\r\n  '3/4-x,3/4-y,1/4-z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\nPu   0.00000   0.00000   0.00000\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/Fm-3m.cif",
    "content": "data_global\r\n_chemical_name_mineral 'Thallium'\r\nloop_\r\n_publ_author_name\r\n'Olsen J S'\r\n'Gerward L'\r\n'Steenstrup S'\r\n'Johnson E'\r\n_journal_name_full 'Journal of Applied Crystallography'\r\n_journal_volume 27 \r\n_journal_year 1994\r\n_journal_page_first 1002\r\n_journal_page_last 1005\r\n_publ_section_title\r\n;\r\n A high-pressure study of thallium\r\n Note: Face-centered cubic\r\n;\r\n_database_code_amcsd 0020617\r\n_chemical_compound_source 'Synthetic'\r\n_chemical_formula_sum 'Tl'\r\n_chemical_formula_sum ''\r\n_cell_length_a 4.33\r\n_cell_length_b 4.33\r\n_cell_length_c 4.33\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 90\r\n_cell_volume 81.183\r\n_exptl_crystal_density_diffrn     16.722\r\n_symmetry_space_group_name_H-M 'F m -3 m'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  'x,1/2+y,1/2+z'\r\n  '1/2+x,y,1/2+z'\r\n  '1/2+x,1/2+y,z'\r\n  'z,-x,y'\r\n  'z,1/2-x,1/2+y'\r\n  '1/2+z,-x,1/2+y'\r\n  '1/2+z,1/2-x,y'\r\n  '-y,z,-x'\r\n  '-y,1/2+z,1/2-x'\r\n  '1/2-y,z,1/2-x'\r\n  '1/2-y,1/2+z,-x'\r\n  'x,-y,z'\r\n  'x,1/2-y,1/2+z'\r\n  '1/2+x,-y,1/2+z'\r\n  '1/2+x,1/2-y,z'\r\n  '-z,x,-y'\r\n  '-z,1/2+x,1/2-y'\r\n  '1/2-z,x,1/2-y'\r\n  '1/2-z,1/2+x,-y'\r\n  'y,-z,x'\r\n  'y,1/2-z,1/2+x'\r\n  '1/2+y,-z,1/2+x'\r\n  '1/2+y,1/2-z,x'\r\n  '-x,y,-z'\r\n  '-x,1/2+y,1/2-z'\r\n  '1/2-x,y,1/2-z'\r\n  '1/2-x,1/2+y,-z'\r\n  'x,-z,-y'\r\n  'x,1/2-z,1/2-y'\r\n  '1/2+x,-z,1/2-y'\r\n  '1/2+x,1/2-z,-y'\r\n  '-z,y,x'\r\n  '-z,1/2+y,1/2+x'\r\n  '1/2-z,y,1/2+x'\r\n  '1/2-z,1/2+y,x'\r\n  'y,-x,-z'\r\n  'y,1/2-x,1/2-z'\r\n  '1/2+y,-x,1/2-z'\r\n  '1/2+y,1/2-x,-z'\r\n  '-x,z,y'\r\n  '-x,1/2+z,1/2+y'\r\n  '1/2-x,z,1/2+y'\r\n  '1/2-x,1/2+z,y'\r\n  'z,-y,-x'\r\n  'z,1/2-y,1/2-x'\r\n  '1/2+z,-y,1/2-x'\r\n  '1/2+z,1/2-y,-x'\r\n  '-y,x,z'\r\n  '-y,1/2+x,1/2+z'\r\n  '1/2-y,x,1/2+z'\r\n  '1/2-y,1/2+x,z'\r\n  'x,z,y'\r\n  'x,1/2+z,1/2+y'\r\n  '1/2+x,z,1/2+y'\r\n  '1/2+x,1/2+z,y'\r\n  '-z,-y,-x'\r\n  '-z,1/2-y,1/2-x'\r\n  '1/2-z,-y,1/2-x'\r\n  '1/2-z,1/2-y,-x'\r\n  'y,x,z'\r\n  'y,1/2+x,1/2+z'\r\n  '1/2+y,x,1/2+z'\r\n  '1/2+y,1/2+x,z'\r\n  '-x,-z,-y'\r\n  '-x,1/2-z,1/2-y'\r\n  '1/2-x,-z,1/2-y'\r\n  '1/2-x,1/2-z,-y'\r\n  'z,y,x'\r\n  'z,1/2+y,1/2+x'\r\n  '1/2+z,y,1/2+x'\r\n  '1/2+z,1/2+y,x'\r\n  '-y,-x,-z'\r\n  '-y,1/2-x,1/2-z'\r\n  '1/2-y,-x,1/2-z'\r\n  '1/2-y,1/2-x,-z'\r\n  'z,x,-y'\r\n  'z,1/2+x,1/2-y'\r\n  '1/2+z,x,1/2-y'\r\n  '1/2+z,1/2+x,-y'\r\n  '-y,-z,x'\r\n  '-y,1/2-z,1/2+x'\r\n  '1/2-y,-z,1/2+x'\r\n  '1/2-y,1/2-z,x'\r\n  'x,y,-z'\r\n  'x,1/2+y,1/2-z'\r\n  '1/2+x,y,1/2-z'\r\n  '1/2+x,1/2+y,-z'\r\n  '-z,-x,y'\r\n  '-z,1/2-x,1/2+y'\r\n  '1/2-z,-x,1/2+y'\r\n  '1/2-z,1/2-x,y'\r\n  'y,z,-x'\r\n  'y,1/2+z,1/2-x'\r\n  '1/2+y,z,1/2-x'\r\n  '1/2+y,1/2+z,-x'\r\n  '-x,-y,z'\r\n  '-x,1/2-y,1/2+z'\r\n  '1/2-x,-y,1/2+z'\r\n  '1/2-x,1/2-y,z'\r\n  '-z,x,y'\r\n  '-z,1/2+x,1/2+y'\r\n  '1/2-z,x,1/2+y'\r\n  '1/2-z,1/2+x,y'\r\n  'y,-z,-x'\r\n  'y,1/2-z,1/2-x'\r\n  '1/2+y,-z,1/2-x'\r\n  '1/2+y,1/2-z,-x'\r\n  '-x,y,z'\r\n  '-x,1/2+y,1/2+z'\r\n  '1/2-x,y,1/2+z'\r\n  '1/2-x,1/2+y,z'\r\n  'z,-x,-y'\r\n  'z,1/2-x,1/2-y'\r\n  '1/2+z,-x,1/2-y'\r\n  '1/2+z,1/2-x,-y'\r\n  '-y,z,x'\r\n  '-y,1/2+z,1/2+x'\r\n  '1/2-y,z,1/2+x'\r\n  '1/2-y,1/2+z,x'\r\n  'x,-y,-z'\r\n  'x,1/2-y,1/2-z'\r\n  '1/2+x,-y,1/2-z'\r\n  '1/2+x,1/2-y,-z'\r\n  '-x,z,-y'\r\n  '-x,1/2+z,1/2-y'\r\n  '1/2-x,z,1/2-y'\r\n  '1/2-x,1/2+z,-y'\r\n  'z,-y,x'\r\n  'z,1/2-y,1/2+x'\r\n  '1/2+z,-y,1/2+x'\r\n  '1/2+z,1/2-y,x'\r\n  '-y,x,-z'\r\n  '-y,1/2+x,1/2-z'\r\n  '1/2-y,x,1/2-z'\r\n  '1/2-y,1/2+x,-z'\r\n  'x,-z,y'\r\n  'x,1/2-z,1/2+y'\r\n  '1/2+x,-z,1/2+y'\r\n  '1/2+x,1/2-z,y'\r\n  '-z,y,-x'\r\n  '-z,1/2+y,1/2-x'\r\n  '1/2-z,y,1/2-x'\r\n  '1/2-z,1/2+y,-x'\r\n  'y,-x,z'\r\n  'y,1/2-x,1/2+z'\r\n  '1/2+y,-x,1/2+z'\r\n  '1/2+y,1/2-x,z'\r\n  '-x,-z,y'\r\n  '-x,1/2-z,1/2+y'\r\n  '1/2-x,-z,1/2+y'\r\n  '1/2-x,1/2-z,y'\r\n  'z,y,-x'\r\n  'z,1/2+y,1/2-x'\r\n  '1/2+z,y,1/2-x'\r\n  '1/2+z,1/2+y,-x'\r\n  '-y,-x,z'\r\n  '-y,1/2-x,1/2+z'\r\n  '1/2-y,-x,1/2+z'\r\n  '1/2-y,1/2-x,z'\r\n  'x,z,-y'\r\n  'x,1/2+z,1/2-y'\r\n  '1/2+x,z,1/2-y'\r\n  '1/2+x,1/2+z,-y'\r\n  '-z,-y,x'\r\n  '-z,1/2-y,1/2+x'\r\n  '1/2-z,-y,1/2+x'\r\n  '1/2-z,1/2-y,x'\r\n  'y,x,-z'\r\n  'y,1/2+x,1/2-z'\r\n  '1/2+y,x,1/2-z'\r\n  '1/2+y,1/2+x,-z'\r\n  '-z,-x,-y'\r\n  '-z,1/2-x,1/2-y'\r\n  '1/2-z,-x,1/2-y'\r\n  '1/2-z,1/2-x,-y'\r\n  'y,z,x'\r\n  'y,1/2+z,1/2+x'\r\n  '1/2+y,z,1/2+x'\r\n  '1/2+y,1/2+z,x'\r\n  '-x,-y,-z'\r\n  '-x,1/2-y,1/2-z'\r\n  '1/2-x,-y,1/2-z'\r\n  '1/2-x,1/2-y,-z'\r\n  'z,x,y'\r\n  'z,1/2+x,1/2+y'\r\n  '1/2+z,x,1/2+y'\r\n  '1/2+z,1/2+x,y'\r\n  '-y,-z,-x'\r\n  '-y,1/2-z,1/2-x'\r\n  '1/2-y,-z,1/2-x'\r\n  '1/2-y,1/2-z,-x'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\nTl   0.00000   0.00000   0.00000\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/Fm3m.cif",
    "content": "data_global\r\n_chemical_name_mineral 'Galena'\r\nloop_\r\n_publ_author_name\r\n'Ramsdell L S'\r\n_journal_name_full 'American Mineralogist'\r\n_journal_volume 10 \r\n_journal_year 1925\r\n_journal_page_first 281\r\n_journal_page_last 304\r\n_publ_section_title\r\n;\r\n The crystal structures of some metallic sulfides\r\n;\r\n_database_code_amcsd 0000003\r\n_chemical_compound_source 'Colorado, USA'\r\n_chemical_formula_sum 'Pb S'\r\n_chemical_formula_sum ''\r\n_cell_length_a 5.93\r\n_cell_length_b 5.93\r\n_cell_length_c 5.93\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 90\r\n_cell_volume 208.528\r\n_exptl_crystal_density_diffrn      7.621\r\n_symmetry_space_group_name_H-M 'F m 3 m'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  'x,1/2+y,1/2+z'\r\n  '1/2+x,y,1/2+z'\r\n  '1/2+x,1/2+y,z'\r\n  'z,-x,y'\r\n  'z,1/2-x,1/2+y'\r\n  '1/2+z,-x,1/2+y'\r\n  '1/2+z,1/2-x,y'\r\n  '-y,z,-x'\r\n  '-y,1/2+z,1/2-x'\r\n  '1/2-y,z,1/2-x'\r\n  '1/2-y,1/2+z,-x'\r\n  'x,-y,z'\r\n  'x,1/2-y,1/2+z'\r\n  '1/2+x,-y,1/2+z'\r\n  '1/2+x,1/2-y,z'\r\n  '-z,x,-y'\r\n  '-z,1/2+x,1/2-y'\r\n  '1/2-z,x,1/2-y'\r\n  '1/2-z,1/2+x,-y'\r\n  'y,-z,x'\r\n  'y,1/2-z,1/2+x'\r\n  '1/2+y,-z,1/2+x'\r\n  '1/2+y,1/2-z,x'\r\n  '-x,y,-z'\r\n  '-x,1/2+y,1/2-z'\r\n  '1/2-x,y,1/2-z'\r\n  '1/2-x,1/2+y,-z'\r\n  'x,-z,-y'\r\n  'x,1/2-z,1/2-y'\r\n  '1/2+x,-z,1/2-y'\r\n  '1/2+x,1/2-z,-y'\r\n  '-z,y,x'\r\n  '-z,1/2+y,1/2+x'\r\n  '1/2-z,y,1/2+x'\r\n  '1/2-z,1/2+y,x'\r\n  'y,-x,-z'\r\n  'y,1/2-x,1/2-z'\r\n  '1/2+y,-x,1/2-z'\r\n  '1/2+y,1/2-x,-z'\r\n  '-x,z,y'\r\n  '-x,1/2+z,1/2+y'\r\n  '1/2-x,z,1/2+y'\r\n  '1/2-x,1/2+z,y'\r\n  'z,-y,-x'\r\n  'z,1/2-y,1/2-x'\r\n  '1/2+z,-y,1/2-x'\r\n  '1/2+z,1/2-y,-x'\r\n  '-y,x,z'\r\n  '-y,1/2+x,1/2+z'\r\n  '1/2-y,x,1/2+z'\r\n  '1/2-y,1/2+x,z'\r\n  'x,z,y'\r\n  'x,1/2+z,1/2+y'\r\n  '1/2+x,z,1/2+y'\r\n  '1/2+x,1/2+z,y'\r\n  '-z,-y,-x'\r\n  '-z,1/2-y,1/2-x'\r\n  '1/2-z,-y,1/2-x'\r\n  '1/2-z,1/2-y,-x'\r\n  'y,x,z'\r\n  'y,1/2+x,1/2+z'\r\n  '1/2+y,x,1/2+z'\r\n  '1/2+y,1/2+x,z'\r\n  '-x,-z,-y'\r\n  '-x,1/2-z,1/2-y'\r\n  '1/2-x,-z,1/2-y'\r\n  '1/2-x,1/2-z,-y'\r\n  'z,y,x'\r\n  'z,1/2+y,1/2+x'\r\n  '1/2+z,y,1/2+x'\r\n  '1/2+z,1/2+y,x'\r\n  '-y,-x,-z'\r\n  '-y,1/2-x,1/2-z'\r\n  '1/2-y,-x,1/2-z'\r\n  '1/2-y,1/2-x,-z'\r\n  'z,x,-y'\r\n  'z,1/2+x,1/2-y'\r\n  '1/2+z,x,1/2-y'\r\n  '1/2+z,1/2+x,-y'\r\n  '-y,-z,x'\r\n  '-y,1/2-z,1/2+x'\r\n  '1/2-y,-z,1/2+x'\r\n  '1/2-y,1/2-z,x'\r\n  'x,y,-z'\r\n  'x,1/2+y,1/2-z'\r\n  '1/2+x,y,1/2-z'\r\n  '1/2+x,1/2+y,-z'\r\n  '-z,-x,y'\r\n  '-z,1/2-x,1/2+y'\r\n  '1/2-z,-x,1/2+y'\r\n  '1/2-z,1/2-x,y'\r\n  'y,z,-x'\r\n  'y,1/2+z,1/2-x'\r\n  '1/2+y,z,1/2-x'\r\n  '1/2+y,1/2+z,-x'\r\n  '-x,-y,z'\r\n  '-x,1/2-y,1/2+z'\r\n  '1/2-x,-y,1/2+z'\r\n  '1/2-x,1/2-y,z'\r\n  '-z,x,y'\r\n  '-z,1/2+x,1/2+y'\r\n  '1/2-z,x,1/2+y'\r\n  '1/2-z,1/2+x,y'\r\n  'y,-z,-x'\r\n  'y,1/2-z,1/2-x'\r\n  '1/2+y,-z,1/2-x'\r\n  '1/2+y,1/2-z,-x'\r\n  '-x,y,z'\r\n  '-x,1/2+y,1/2+z'\r\n  '1/2-x,y,1/2+z'\r\n  '1/2-x,1/2+y,z'\r\n  'z,-x,-y'\r\n  'z,1/2-x,1/2-y'\r\n  '1/2+z,-x,1/2-y'\r\n  '1/2+z,1/2-x,-y'\r\n  '-y,z,x'\r\n  '-y,1/2+z,1/2+x'\r\n  '1/2-y,z,1/2+x'\r\n  '1/2-y,1/2+z,x'\r\n  'x,-y,-z'\r\n  'x,1/2-y,1/2-z'\r\n  '1/2+x,-y,1/2-z'\r\n  '1/2+x,1/2-y,-z'\r\n  '-x,z,-y'\r\n  '-x,1/2+z,1/2-y'\r\n  '1/2-x,z,1/2-y'\r\n  '1/2-x,1/2+z,-y'\r\n  'z,-y,x'\r\n  'z,1/2-y,1/2+x'\r\n  '1/2+z,-y,1/2+x'\r\n  '1/2+z,1/2-y,x'\r\n  '-y,x,-z'\r\n  '-y,1/2+x,1/2-z'\r\n  '1/2-y,x,1/2-z'\r\n  '1/2-y,1/2+x,-z'\r\n  'x,-z,y'\r\n  'x,1/2-z,1/2+y'\r\n  '1/2+x,-z,1/2+y'\r\n  '1/2+x,1/2-z,y'\r\n  '-z,y,-x'\r\n  '-z,1/2+y,1/2-x'\r\n  '1/2-z,y,1/2-x'\r\n  '1/2-z,1/2+y,-x'\r\n  'y,-x,z'\r\n  'y,1/2-x,1/2+z'\r\n  '1/2+y,-x,1/2+z'\r\n  '1/2+y,1/2-x,z'\r\n  '-x,-z,y'\r\n  '-x,1/2-z,1/2+y'\r\n  '1/2-x,-z,1/2+y'\r\n  '1/2-x,1/2-z,y'\r\n  'z,y,-x'\r\n  'z,1/2+y,1/2-x'\r\n  '1/2+z,y,1/2-x'\r\n  '1/2+z,1/2+y,-x'\r\n  '-y,-x,z'\r\n  '-y,1/2-x,1/2+z'\r\n  '1/2-y,-x,1/2+z'\r\n  '1/2-y,1/2-x,z'\r\n  'x,z,-y'\r\n  'x,1/2+z,1/2-y'\r\n  '1/2+x,z,1/2-y'\r\n  '1/2+x,1/2+z,-y'\r\n  '-z,-y,x'\r\n  '-z,1/2-y,1/2+x'\r\n  '1/2-z,-y,1/2+x'\r\n  '1/2-z,1/2-y,x'\r\n  'y,x,-z'\r\n  'y,1/2+x,1/2-z'\r\n  '1/2+y,x,1/2-z'\r\n  '1/2+y,1/2+x,-z'\r\n  '-z,-x,-y'\r\n  '-z,1/2-x,1/2-y'\r\n  '1/2-z,-x,1/2-y'\r\n  '1/2-z,1/2-x,-y'\r\n  'y,z,x'\r\n  'y,1/2+z,1/2+x'\r\n  '1/2+y,z,1/2+x'\r\n  '1/2+y,1/2+z,x'\r\n  '-x,-y,-z'\r\n  '-x,1/2-y,1/2-z'\r\n  '1/2-x,-y,1/2-z'\r\n  '1/2-x,1/2-y,-z'\r\n  'z,x,y'\r\n  'z,1/2+x,1/2+y'\r\n  '1/2+z,x,1/2+y'\r\n  '1/2+z,1/2+x,y'\r\n  '-y,-z,-x'\r\n  '-y,1/2-z,1/2-x'\r\n  '1/2-y,-z,1/2-x'\r\n  '1/2-y,1/2-z,-x'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\nPb   0.00000   0.00000   0.00000\r\nS   0.50000   0.50000   0.50000\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/Fmmm.cif",
    "content": "data_global\r\n_chemical_name_mineral 'Graphite'\r\nloop_\r\n_publ_author_name\r\n'Kukesh J S'\r\n'Pauling L'\r\n_journal_name_full 'American Mineralogist'\r\n_journal_volume 35 \r\n_journal_year 1950\r\n_journal_page_first 125\r\n_journal_page_last 125\r\n_publ_section_title\r\n;\r\n The problem of the graphite structure\r\n;\r\n_database_code_amcsd 0000049\r\n_chemical_formula_sum 'C'\r\n_chemical_formula_sum ''\r\n_cell_length_a 2.456\r\n_cell_length_b 4.254\r\n_cell_length_c 6.696\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 90\r\n_cell_volume 69.959\r\n_exptl_crystal_density_diffrn      2.281\r\n_symmetry_space_group_name_H-M 'F m m m'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  'x,1/2+y,1/2+z'\r\n  '1/2+x,y,1/2+z'\r\n  '1/2+x,1/2+y,z'\r\n  'x,-y,z'\r\n  'x,1/2-y,1/2+z'\r\n  '1/2+x,-y,1/2+z'\r\n  '1/2+x,1/2-y,z'\r\n  '-x,y,-z'\r\n  '-x,1/2+y,1/2-z'\r\n  '1/2-x,y,1/2-z'\r\n  '1/2-x,1/2+y,-z'\r\n  '-x,y,z'\r\n  '-x,1/2+y,1/2+z'\r\n  '1/2-x,y,1/2+z'\r\n  '1/2-x,1/2+y,z'\r\n  'x,-y,-z'\r\n  'x,1/2-y,1/2-z'\r\n  '1/2+x,-y,1/2-z'\r\n  '1/2+x,1/2-y,-z'\r\n  'x,y,-z'\r\n  'x,1/2+y,1/2-z'\r\n  '1/2+x,y,1/2-z'\r\n  '1/2+x,1/2+y,-z'\r\n  '-x,-y,z'\r\n  '-x,1/2-y,1/2+z'\r\n  '1/2-x,-y,1/2+z'\r\n  '1/2-x,1/2-y,z'\r\n  '-x,-y,-z'\r\n  '-x,1/2-y,1/2-z'\r\n  '1/2-x,-y,1/2-z'\r\n  '1/2-x,1/2-y,-z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\nC   0.00000   0.16667   0.00000\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/I-4.cif",
    "content": "data_global\r\n_amcsd_formula_title 'SiO2'\r\nloop_\r\n_publ_author_name\r\n'Boisen M B'\r\n'Gibbs G V'\r\n'Bukowinski M S T'\r\n_journal_name_full 'Physics and Chemistry of Minerals'\r\n_journal_volume 21 \r\n_journal_year 1994\r\n_journal_page_first 269\r\n_journal_page_last 284\r\n_publ_section_title\r\n;\r\n Framework silica structures generated using simulated annealing\r\n with a potential energy function based on an H6Si2O7 molecule\r\n Sample: 1\r\n;\r\n_database_code_amcsd 0007866\r\n_chemical_formula_sum 'Si O2'\r\n_chemical_formula_sum ''\r\n_cell_length_a 8.6557\r\n_cell_length_b 8.6557\r\n_cell_length_c 4.7702\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 90\r\n_cell_volume 357.389\r\n_exptl_crystal_density_diffrn      2.233\r\n_symmetry_space_group_name_H-M 'I -4'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  '1/2+x,1/2+y,1/2+z'\r\n  'y,-x,-z'\r\n  '1/2+y,1/2-x,1/2-z'\r\n  '-x,-y,z'\r\n  '1/2-x,1/2-y,1/2+z'\r\n  '-y,x,-z'\r\n  '1/2-y,1/2+x,1/2-z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\nSi   0.17244   0.17581   0.02405\r\nO1   0.28204   0.19187   0.29810\r\nO2   0.69652   0.50674   0.38447\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/I-42d.cif",
    "content": "data_global\r\n_amcsd_formula_title 'Hg N2'\r\nloop_\r\n_publ_author_name\r\n'Hassel O'\r\n_journal_name_full 'Zeitschrift fur Kristallographie'\r\n_journal_volume 64 \r\n_journal_year 1926\r\n_journal_page_first 218\r\n_journal_page_last 223\r\n_publ_section_title\r\n;\r\n Roentgenographische Untersuchung des tetragonal kristallisierenden\r\n Quecksilberzyanids.\r\n _cod_database_code 1010499\r\n;\r\n_database_code_amcsd 0017415\r\n_chemical_formula_sum 'Hg'\r\n_chemical_formula_sum ''\r\n_cell_length_a 9.67\r\n_cell_length_b 9.67\r\n_cell_length_c 8.92\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 90\r\n_cell_volume 834.099\r\n_exptl_crystal_density_diffrn      6.389\r\n_symmetry_space_group_name_H-M 'I -4 2 d'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  '1/2+x,1/2+y,1/2+z'\r\n  '1/2-y,-x,3/4+z'\r\n  '-y,1/2-x,1/4+z'\r\n  'y,-x,-z'\r\n  '1/2+y,1/2-x,1/2-z'\r\n  '-x,1/2+y,1/4-z'\r\n  '1/2-x,+y,3/4-z'\r\n  '-x,-y,z'\r\n  '1/2-x,1/2-y,1/2+z'\r\n  '1/2+y,x,3/4+z'\r\n  '+y,1/2+x,1/4+z'\r\n  '-y,x,-z'\r\n  '1/2-y,1/2+x,1/2-z'\r\n  'x,1/2-y,1/4-z'\r\n  '1/2+x,-y,3/4-z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\nHg1   0.25000   0.21000   0.12500\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/I-42m.cif",
    "content": "data_global\r\n_amcsd_formula_title 'B Fe2'\r\nloop_\r\n_publ_author_name\r\n'Bjurstroem T'\r\n_journal_name_full 'Arkiv for Kemi, Mineralogi och Geologi'\r\n_journal_volume A11 \r\n_journal_year 1933\r\n_journal_page_first 1\r\n_journal_page_last 12\r\n_publ_section_title\r\n;\r\n Roentgenanalyse der Systeme Eisen-Bor, Kobalt-Bor und Nickel-Bor\r\n _cod_database_code 1010474\r\n;\r\n_database_code_amcsd 0017390\r\n_chemical_formula_sum 'Fe2 B'\r\n_chemical_formula_sum ''\r\n_cell_length_a 5.099\r\n_cell_length_b 5.099\r\n_cell_length_c 4.24\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 90\r\n_cell_volume 110.239\r\n_exptl_crystal_density_diffrn      7.381\r\n_symmetry_space_group_name_H-M 'I -4 2 m'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  '1/2+x,1/2+y,1/2+z'\r\n  '-y,-x,z'\r\n  '1/2-y,1/2-x,1/2+z'\r\n  'y,-x,-z'\r\n  '1/2+y,1/2-x,1/2-z'\r\n  '-x,y,-z'\r\n  '1/2-x,1/2+y,1/2-z'\r\n  '-x,-y,z'\r\n  '1/2-x,1/2-y,1/2+z'\r\n  'y,x,z'\r\n  '1/2+y,1/2+x,1/2+z'\r\n  '-y,x,-z'\r\n  '1/2-y,1/2+x,1/2-z'\r\n  'x,-y,-z'\r\n  '1/2+x,1/2-y,1/2-z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\nFe1   0.16700   0.16700   0.25000\r\nB1   0.50000   0.00000   0.00000\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/I-43m.cif",
    "content": "data_global\r\n_chemical_name_mineral 'Manganese-alpha'\r\nloop_\r\n_publ_author_name\r\n'Gazzara C P'\r\n'Middleton R M'\r\n'Weiss R J'\r\n'Hall E O'\r\n_journal_name_full 'Acta Crystallographica'\r\n_journal_volume 22 \r\n_journal_year 1967\r\n_journal_page_first 859\r\n_journal_page_last 862\r\n_publ_section_title\r\n;\r\n A refinement of the parameters of alpha manganese\r\n Localilty: synthetic\r\n Sample: at T = 298K\r\n;\r\n_database_code_amcsd 0009311\r\n_chemical_formula_sum 'Mn29'\r\n_chemical_formula_sum ''\r\n_cell_length_a 8.9125\r\n_cell_length_b 8.9125\r\n_cell_length_c 8.9125\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 90\r\n_cell_volume 707.944\r\n_exptl_crystal_density_diffrn      7.474\r\n_symmetry_space_group_name_H-M 'I -4 3 m'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  '1/2+x,1/2+y,1/2+z'\r\n  '-z,x,-y'\r\n  '1/2-z,1/2+x,1/2-y'\r\n  '-y,z,-x'\r\n  '1/2-y,1/2+z,1/2-x'\r\n  '-x,y,-z'\r\n  '1/2-x,1/2+y,1/2-z'\r\n  'x,-z,-y'\r\n  '1/2+x,1/2-z,1/2-y'\r\n  'z,-y,-x'\r\n  '1/2+z,1/2-y,1/2-x'\r\n  'y,-x,-z'\r\n  '1/2+y,1/2-x,1/2-z'\r\n  'x,z,y'\r\n  '1/2+x,1/2+z,1/2+y'\r\n  'z,y,x'\r\n  '1/2+z,1/2+y,1/2+x'\r\n  'y,x,z'\r\n  '1/2+y,1/2+x,1/2+z'\r\n  '-z,-x,y'\r\n  '1/2-z,1/2-x,1/2+y'\r\n  '-y,-z,x'\r\n  '1/2-y,1/2-z,1/2+x'\r\n  '-x,-y,z'\r\n  '1/2-x,1/2-y,1/2+z'\r\n  'z,-x,-y'\r\n  '1/2+z,1/2-x,1/2-y'\r\n  'y,-z,-x'\r\n  '1/2+y,1/2-z,1/2-x'\r\n  'x,-y,-z'\r\n  '1/2+x,1/2-y,1/2-z'\r\n  '-x,z,-y'\r\n  '1/2-x,1/2+z,1/2-y'\r\n  '-z,y,-x'\r\n  '1/2-z,1/2+y,1/2-x'\r\n  '-y,x,-z'\r\n  '1/2-y,1/2+x,1/2-z'\r\n  '-x,-z,y'\r\n  '1/2-x,1/2-z,1/2+y'\r\n  '-z,-y,x'\r\n  '1/2-z,1/2-y,1/2+x'\r\n  '-y,-x,z'\r\n  '1/2-y,1/2-x,1/2+z'\r\n  'z,x,y'\r\n  '1/2+z,1/2+x,1/2+y'\r\n  'y,z,x'\r\n  '1/2+y,1/2+z,1/2+x'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\n_atom_site_U_iso_or_equiv\r\nMn1   0.00000   0.00000   0.00000   0.00564\r\nMn2   0.31600   0.31600   0.31600   0.00564\r\nMn3   0.35600   0.35600   0.03400   0.00564\r\nMn4   0.08900   0.08900   0.28200   0.00564\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/I-4c2.cif",
    "content": "data_global\r\n_amcsd_formula_title 'Al F4 H4 N'\r\nloop_\r\n_publ_author_name\r\n'Fourquet J'\r\n'Plet F'\r\n'Courbion G'\r\n'Bulou A'\r\n'de Pape R'\r\n_journal_name_full 'Revue de Chimie Minerale'\r\n_journal_volume 16 \r\n_journal_year 1979\r\n_journal_page_first 490\r\n_journal_page_last 500\r\n_publ_section_title\r\n;\r\n Etude de la filiation structurale des phases M(I)AlF4\r\n (M(I) = K, Rb, Tl, N H4, Cs)\r\n _cod_database_code 1000199\r\n;\r\n_database_code_amcsd 0015388\r\n_chemical_formula_sum 'N Al F4'\r\n_chemical_formula_sum ''\r\n_cell_length_a 5.078\r\n_cell_length_b 5.078\r\n_cell_length_c 12.715\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 90\r\n_cell_volume 327.870\r\n_exptl_crystal_density_diffrn      2.370\r\n_symmetry_space_group_name_H-M 'I -4 c 2'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  '1/2+x,1/2+y,1/2+z'\r\n  'y,x,1/2-z'\r\n  '1/2+y,1/2+x,-z'\r\n  'y,-x,-z'\r\n  '1/2+y,1/2-x,1/2-z'\r\n  'x,-y,1/2+z'\r\n  '1/2+x,1/2-y,+z'\r\n  '-x,-y,z'\r\n  '1/2-x,1/2-y,1/2+z'\r\n  '-y,-x,1/2-z'\r\n  '1/2-y,1/2-x,-z'\r\n  '-y,x,-z'\r\n  '1/2-y,1/2+x,1/2-z'\r\n  '-x,y,1/2+z'\r\n  '1/2-x,1/2+y,+z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\nN1   0.00000   0.50000   0.25000\r\nAl1   0.00000   0.00000   0.00000\r\nF1   0.00000   0.00000   0.13860\r\nF2   0.20970   0.70970   0.00000\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/I-4m2.cif",
    "content": "data_global\r\n_chemical_name_mineral 'Moschelite'\r\nloop_\r\n_publ_author_name\r\n'Huggins M'\r\n'Magill P'\r\n_journal_name_full 'Journal of the American Chemical Society'\r\n_journal_volume 49 \r\n_journal_year 1927\r\n_journal_page_first 2357\r\n_journal_page_last 2367\r\n_publ_section_title\r\n;\r\n The crystal stuctures of mercuric and mercurous iodides\r\n _cod_database_code 1011075\r\n;\r\n_database_code_amcsd 0017973\r\n_chemical_formula_sum 'Hg I'\r\n_chemical_formula_sum ''\r\n_cell_length_a 4.92\r\n_cell_length_b 4.92\r\n_cell_length_c 11.64\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 90\r\n_cell_volume 281.763\r\n_exptl_crystal_density_diffrn      7.720\r\n_symmetry_space_group_name_H-M 'I -4 m 2'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  '1/2+x,1/2+y,1/2+z'\r\n  'y,x,-z'\r\n  '1/2+y,1/2+x,1/2-z'\r\n  'y,-x,-z'\r\n  '1/2+y,1/2-x,1/2-z'\r\n  'x,-y,z'\r\n  '1/2+x,1/2-y,1/2+z'\r\n  '-x,-y,z'\r\n  '1/2-x,1/2-y,1/2+z'\r\n  '-y,-x,-z'\r\n  '1/2-y,1/2-x,1/2-z'\r\n  '-y,x,-z'\r\n  '1/2-y,1/2+x,1/2-z'\r\n  '-x,y,z'\r\n  '1/2-x,1/2+y,1/2+z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\nHg1   0.00000   0.00000   0.11700\r\nI1   0.00000   0.00000   0.35300\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/I2=a.cif",
    "content": "data_global\r\n_amcsd_formula_title 'Ba H16 O14 Sb2'\r\nloop_\r\n_publ_author_name\r\n'Beintema J'\r\n_journal_name_full 'Proceedings of the Koninklijke Nederlandse Academie van Wetenschappen'\r\n_journal_volume 39 \r\n_journal_year 1936\r\n_journal_page_first 652\r\n_journal_page_last 661\r\n_publ_section_title\r\n;\r\n On the crystal structure of barium antimonate.\r\n _cod_database_code 1010070\r\n;\r\n_database_code_amcsd 0017005\r\n_chemical_formula_sum 'Ba Sb'\r\n_chemical_formula_sum ''\r\n_cell_length_a 9.961\r\n_cell_length_b 12.506\r\n_cell_length_c 10.129\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 87.3\r\n_cell_angle_gamma 90\r\n_cell_volume 1260.392\r\n_exptl_crystal_density_diffrn      2.731\r\n_symmetry_space_group_name_H-M 'I 1 2/a 1'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  '1/2+x,1/2+y,1/2+z'\r\n  '1/2-x,y,-z'\r\n  '-x,1/2+y,1/2-z'\r\n  '1/2+x,-y,z'\r\n  '+x,1/2-y,1/2+z'\r\n  '-x,-y,-z'\r\n  '1/2-x,1/2-y,1/2-z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\nBa1   0.00000   0.25000   0.00000\r\nSb1   0.00000   0.00000   0.25000\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/I2=b.cif",
    "content": "data_global\r\n_chemical_name_mineral 'Clinobisvanite'\r\nloop_\r\n_publ_author_name\r\n'Sleight A W'\r\n'Chen H-Y'\r\n'Ferretti A'\r\n'Cox D E'\r\n_journal_name_full 'Materials Research Bulletin'\r\n_journal_volume 14 \r\n_journal_year 1979\r\n_journal_page_first 1571\r\n_journal_page_last 1581\r\n_publ_section_title\r\n;\r\n Crystal growth and structure of BiVO4\r\n Sample: T = 4.5 K\r\n;\r\n_database_code_amcsd 0014279\r\n_chemical_compound_source 'Synthetic'\r\n_chemical_formula_sum 'Bi V O4'\r\n_chemical_formula_sum ''\r\n_cell_length_a 5.2146\r\n_cell_length_b 5.0842\r\n_cell_length_c 11.7063\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 90.394\r\n_cell_volume 310.351\r\n_exptl_crystal_density_diffrn      6.933\r\n_symmetry_space_group_name_H-M 'I 1 1 2/b'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  '1/2+x,1/2+y,1/2+z'\r\n  '-x,1/2-y,z'\r\n  '1/2-x,-y,1/2+z'\r\n  'x,1/2+y,-z'\r\n  '1/2+x,+y,1/2-z'\r\n  '-x,-y,-z'\r\n  '1/2-x,1/2-y,1/2-z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\n_atom_site_U_iso_or_equiv\r\nBi   0.00000   0.25000   0.63630   0.00152\r\nV   0.00000   0.25000   0.13900   0.00253\r\nO1   0.15140   0.50980   0.21030   0.00380\r\nO2   0.26270   0.38060   0.44810   0.00355\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/I2=c.cif",
    "content": "data_global\r\n_chemical_name_mineral 'Duttonite'\r\nloop_\r\n_publ_author_name\r\n'Evans H T'\r\n'Mrose M E'\r\n_journal_name_full 'Acta Crystallographica'\r\n_journal_volume 11 \r\n_journal_year 1958\r\n_journal_page_first 56\r\n_journal_page_last 58\r\n_publ_section_title\r\n;\r\n The crystal structures of three new vanadium oxide minerals\r\n Note: x(OH2) corrected\r\n;\r\n_database_code_amcsd 0009204\r\n_chemical_compound_source 'Peanut mine, Montrose County, Colorado, USA'\r\n_chemical_formula_sum 'V O3 H2'\r\n_chemical_formula_sum ''\r\n_cell_length_a 8.80\r\n_cell_length_b 3.95\r\n_cell_length_c 5.96\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90.67\r\n_cell_angle_gamma 90\r\n_cell_volume 207.155\r\n_exptl_crystal_density_diffrn      3.237\r\n_symmetry_space_group_name_H-M 'I 1 2/c 1'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  '1/2+x,1/2+y,1/2+z'\r\n  'x,1/2-y,1/2+z'\r\n  '1/2+x,-y,+z'\r\n  '-x,y,1/2-z'\r\n  '1/2-x,1/2+y,-z'\r\n  '-x,1/2-y,-z'\r\n  '1/2-x,-y,1/2-z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\nV   0.00000   0.33600   0.25000\r\nO1   0.00000   0.75400   0.25000\r\nO-H2   0.15000   0.25000   0.50000\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/I2=m.cif",
    "content": "data_global\r\n_chemical_name_mineral 'Brezinaite'\r\nloop_\r\n_publ_author_name\r\n'Jellinek F'\r\n_journal_name_full 'Acta Crystallographica'\r\n_journal_volume 10 \r\n_journal_year 1957\r\n_journal_page_first 620\r\n_journal_page_last 628\r\n_publ_section_title\r\n;\r\n The structures of the chromium sulphides\r\n;\r\n_database_code_amcsd 0009201\r\n_chemical_compound_source 'Synthetic'\r\n_chemical_formula_sum 'Cr3 S4'\r\n_chemical_formula_sum ''\r\n_cell_length_a 5.694\r\n_cell_length_b 3.428\r\n_cell_length_c 11.272\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 91.50\r\n_cell_angle_gamma 90\r\n_cell_volume 219.943\r\n_exptl_crystal_density_diffrn      4.292\r\n_symmetry_space_group_name_H-M 'I 1 2/m 1'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  '1/2+x,1/2+y,1/2+z'\r\n  'x,-y,z'\r\n  '1/2+x,1/2-y,1/2+z'\r\n  '-x,y,-z'\r\n  '1/2-x,1/2+y,1/2-z'\r\n  '-x,-y,-z'\r\n  '1/2-x,1/2-y,1/2-z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\nCr1   0.00000   0.00000   0.00000\r\nCr2  -0.01200   0.00000   0.26300\r\nS1   0.35500   0.00000   0.36350\r\nS2   0.32000   0.00000   0.87600\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/I2_12_12_1.cif",
    "content": "data_global\r\n_amcsd_formula_title 'SiO2'\r\nloop_\r\n_publ_author_name\r\n'Boisen M B'\r\n'Gibbs G V'\r\n'Bukowinski M S T'\r\n_journal_name_full 'Physics and Chemistry of Minerals'\r\n_journal_volume 21 \r\n_journal_year 1994\r\n_journal_page_first 269\r\n_journal_page_last 284\r\n_publ_section_title\r\n;\r\n Framework silica structures generated using simulated annealing\r\n with a potential energy function based on an H6Si2O7 molecule\r\n Sample: 18\r\n;\r\n_database_code_amcsd 0007883\r\n_chemical_formula_sum 'Si O2'\r\n_chemical_formula_sum ''\r\n_cell_length_a 4.1154\r\n_cell_length_b 4.4201\r\n_cell_length_c 15.5724\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 90\r\n_cell_volume 283.269\r\n_exptl_crystal_density_diffrn      2.818\r\n_symmetry_space_group_name_H-M 'I 21 21 21'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  '1/2+x,1/2+y,1/2+z'\r\n  '-x,1/2+y,1/2-z'\r\n  '1/2-x,+y,-z'\r\n  '1/2+x,1/2-y,-z'\r\n  '+x,-y,1/2-z'\r\n  '1/2-x,-y,1/2+z'\r\n  '-x,1/2-y,+z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\nSi1   0.00000   0.75000   0.81134\r\nSi2   0.00000   0.75000   0.06175\r\nO1   0.23818   0.56935   0.12709\r\nO2   0.32240   0.00000   0.25000\r\nO3   0.25000   0.05307   0.50000\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/I2_13.cif",
    "content": "data_global\r\n_amcsd_formula_title 'N2 O4'\r\nloop_\r\n_publ_author_name\r\n'Vegard L'\r\n_journal_name_full 'Zeitschrift fur Physik'\r\n_journal_volume 68 \r\n_journal_year 1931\r\n_journal_page_first 184\r\n_journal_page_last 203\r\n_publ_section_title\r\n;\r\n Die Struktur von festem N2 O4 bei der Temperatur von fluessiger Luft.\r\n _cod_database_code 1010516\r\n;\r\n_database_code_amcsd 0017427\r\n_chemical_formula_sum 'N O2'\r\n_chemical_formula_sum ''\r\n_cell_length_a 7.77\r\n_cell_length_b 7.77\r\n_cell_length_c 7.77\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 90\r\n_cell_volume 469.097\r\n_exptl_crystal_density_diffrn      1.954\r\n_symmetry_space_group_name_H-M 'I 21 3'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  '1/2+x,1/2+y,1/2+z'\r\n  '1/2-z,-x,1/2+y'\r\n  '-z,1/2-x,+y'\r\n  '-z,1/2+x,1/2-y'\r\n  '1/2-z,+x,-y'\r\n  '1/2+z,1/2-x,-y'\r\n  '+z,-x,1/2-y'\r\n  'z,x,y'\r\n  '1/2+z,1/2+x,1/2+y'\r\n  '1/2+y,1/2-z,-x'\r\n  '+y,-z,1/2-x'\r\n  '1/2-y,-z,1/2+x'\r\n  '-y,1/2-z,+x'\r\n  '-y,1/2+z,1/2-x'\r\n  '1/2-y,+z,-x'\r\n  'y,z,x'\r\n  '1/2+y,1/2+z,1/2+x'\r\n  '-x,1/2+y,1/2-z'\r\n  '1/2-x,+y,-z'\r\n  '1/2+x,1/2-y,-z'\r\n  '+x,-y,1/2-z'\r\n  '1/2-x,-y,1/2+z'\r\n  '-x,1/2-y,+z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\nN1   0.40300   0.00000   0.25000\r\nO1   0.17800   0.25000   0.40300\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/I2_1=a-3.cif",
    "content": "data_global\r\n_chemical_name_mineral 'Winstanleyite'\r\nloop_\r\n_publ_author_name\r\n'Bindi L'\r\n'Cipriani C'\r\n_journal_name_full 'The Canadian Mineralogist'\r\n_journal_volume 41 \r\n_journal_year 2003\r\n_journal_page_first 1469\r\n_journal_page_last 1473\r\n_publ_section_title\r\n;\r\n The crystal structure of winstanleyite, TiTe3O8, from the\r\n Grand Central Mine, Tombstone, Arizona\r\n;\r\n_database_code_amcsd 0005922\r\n_chemical_compound_source 'Grand Central Mine, Tombstone, Arizona'\r\n_chemical_formula_sum 'Ti Te3 O8'\r\n_chemical_formula_sum ''\r\n_cell_length_a 10.965\r\n_cell_length_b 10.965\r\n_cell_length_c 10.965\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 90\r\n_cell_volume 1318.335\r\n_exptl_crystal_density_diffrn      5.630\r\n_symmetry_space_group_name_H-M 'I 21/a -3'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  '1/2+x,1/2+y,1/2+z'\r\n  '1/2+z,x,1/2-y'\r\n  '+z,1/2+x,-y'\r\n  '1/2+z,-x,y'\r\n  '+z,1/2-x,1/2+y'\r\n  '-z,x,1/2+y'\r\n  '1/2-z,1/2+x,+y'\r\n  '-z,-x,-y'\r\n  '1/2-z,1/2-x,1/2-y'\r\n  '1/2+y,1/2-z,-x'\r\n  '+y,-z,1/2-x'\r\n  '-y,1/2-z,x'\r\n  '1/2-y,-z,1/2+x'\r\n  '1/2-y,z,-x'\r\n  '-y,1/2+z,1/2-x'\r\n  'y,z,x'\r\n  '1/2+y,1/2+z,1/2+x'\r\n  'x,1/2-y,1/2+z'\r\n  '1/2+x,-y,+z'\r\n  '-x,y,1/2+z'\r\n  '1/2-x,1/2+y,+z'\r\n  'x,1/2+y,-z'\r\n  '1/2+x,+y,1/2-z'\r\n  '-x,-y,-z'\r\n  '1/2-x,1/2-y,1/2-z'\r\n  '1/2-z,-x,1/2+y'\r\n  '-z,1/2-x,+y'\r\n  '1/2-z,x,-y'\r\n  '-z,1/2+x,1/2-y'\r\n  'z,-x,1/2-y'\r\n  '1/2+z,1/2-x,-y'\r\n  'z,x,y'\r\n  '1/2+z,1/2+x,1/2+y'\r\n  '1/2-y,1/2+z,x'\r\n  '-y,+z,1/2+x'\r\n  'y,1/2+z,-x'\r\n  '1/2+y,+z,1/2-x'\r\n  '1/2+y,-z,x'\r\n  '+y,1/2-z,1/2+x'\r\n  '-y,-z,-x'\r\n  '1/2-y,1/2-z,1/2-x'\r\n  '-x,1/2+y,1/2-z'\r\n  '1/2-x,+y,-z'\r\n  'x,-y,1/2-z'\r\n  '1/2+x,1/2-y,-z'\r\n  '-x,1/2-y,z'\r\n  '1/2-x,-y,1/2+z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\n_atom_site_U_iso_or_equiv\r\nTi   0.00000   0.00000   0.00000   0.02440\r\nTe   0.20907   0.00000   0.25000   0.02740\r\nO1   0.43860   0.13330   0.39870   0.02240\r\nO2   0.17290   0.17290   0.17290   0.02250\r\nloop_\r\n_atom_site_aniso_label\r\n_atom_site_aniso_U_11\r\n_atom_site_aniso_U_22\r\n_atom_site_aniso_U_33\r\n_atom_site_aniso_U_12\r\n_atom_site_aniso_U_13\r\n_atom_site_aniso_U_23\r\nTi 0.02440 0.02440 0.02440 -0.00010 -0.00010 -0.00010\r\nTe 0.02750 0.02740 0.02740 0.00000 0.00000 0.00010\r\nO1 0.02280 0.02280 0.02270 -0.00020 -0.00030 -0.00020\r\nO2 0.02250 0.02250 0.02250 0.00050 0.00050 0.00050\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/I2cm.cif",
    "content": "data_global\r\n_chemical_name_mineral 'Dawsonite'\r\nloop_\r\n_publ_author_name\r\n'Chinh L T'\r\n'Pobedimskaya E A'\r\n'Khomyakov A P'\r\n_journal_name_full 'Vestnik Moskovskogo Universiteta Geologiya'\r\n_journal_volume 42 \r\n_journal_year 1987\r\n_journal_page_first 74\r\n_journal_page_last 77\r\n_publ_section_title\r\n;\r\n Crystal structure of dawsonite, NaAl(CO3)(OH)2 and its first discovery in the\r\n Khibiny alkaline massiv\r\n;\r\n_database_code_amcsd 0015709\r\n_chemical_compound_source 'Khibiny alkaline massif, Kola peninsula, Russia'\r\n_chemical_formula_sum 'Na Al C O5 H2'\r\n_chemical_formula_sum ''\r\n_cell_length_a 6.762\r\n_cell_length_b 10.428\r\n_cell_length_c 5.593\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 90\r\n_cell_volume 394.386\r\n_exptl_crystal_density_diffrn      2.425\r\n_symmetry_space_group_name_H-M 'I 2 c m'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  '1/2+x,1/2+y,1/2+z'\r\n  'x,-y,1/2+z'\r\n  '1/2+x,1/2-y,+z'\r\n  'x,y,1/2-z'\r\n  '1/2+x,1/2+y,-z'\r\n  'x,-y,-z'\r\n  '1/2+x,1/2-y,1/2-z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\n_atom_site_U_iso_or_equiv\r\nNa   0.74010   0.74950   0.25000   0.02368\r\nAl  -0.00400   0.00000   0.00000   0.00874\r\nC  -0.01800   0.75140   0.75000   0.00975\r\nO1  -0.01500   0.36750   0.25000   0.01798\r\nO2  -0.00150   0.81490   0.54880   0.01672\r\nO3   0.16820  -0.02220   0.25000   0.00393\r\nO4   0.80040  -0.02950   0.25000   0.02128\r\nH1   0.22640   0.48370   0.25000 ?\r\nH2   0.76490   0.46590   0.25000 ?\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/I2mb.cif",
    "content": "data_global\r\n_amcsd_formula_title 'Ca2Al2O5'\r\nloop_\r\n_publ_author_name\r\n'Kahlenberg V'\r\n'Fischer R X'\r\n'Shaw C S J'\r\n_journal_name_full 'American Mineralogist'\r\n_journal_volume 85 \r\n_journal_year 2000\r\n_journal_page_first 1061\r\n_journal_page_last 1065\r\n_publ_section_title\r\n;\r\n Rietveld analysis of dicalcium aluminate (Ca2Al2O5) -\r\n A new high pressure phase with the Brownmillerite type structure\r\n;\r\n_database_code_amcsd 0002473\r\n_chemical_formula_sum 'Al2 Ca2 O5'\r\n_chemical_formula_sum ''\r\n_cell_length_a 5.2281\r\n_cell_length_b 14.4686\r\n_cell_length_c 5.4004\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 90\r\n_cell_volume 408.504\r\n_exptl_crystal_density_diffrn      3.481\r\n_symmetry_space_group_name_H-M 'I 2 m b'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  '1/2+x,1/2+y,1/2+z'\r\n  'x,1/2+y,-z'\r\n  '1/2+x,+y,1/2-z'\r\n  'x,1/2-y,z'\r\n  '1/2+x,-y,1/2+z'\r\n  'x,-y,-z'\r\n  '1/2+x,1/2-y,1/2-z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\n_atom_site_U_iso_or_equiv\r\nAl1   0.50000   0.50000   0.50000   0.01051\r\nAl2   0.44870   0.25000   0.57330   0.00532\r\nCa   0.49370   0.60790   0.97700   0.00811\r\nO1   0.52230   0.35700   0.44320   0.01089\r\nO2   0.61000   0.25000   0.86150   0.01343\r\nO3   0.25900   0.50900   0.25600   0.01013\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/I4=m.cif",
    "content": "data_global\r\n_amcsd_formula_title 'MnO2'\r\nloop_\r\n_publ_author_name\r\n'Kondrashev Y D'\r\n'Zaslavskii A I'\r\n_journal_name_full 'Izvestiya Akademii Nauk SSSR'\r\n_journal_volume 15 \r\n_journal_year 1951\r\n_journal_page_first 179\r\n_journal_page_last 186\r\n_publ_section_title\r\n;\r\n The structure of the modifications of manganese oxide\r\n;\r\n_database_code_amcsd 0017792\r\n_chemical_formula_sum 'Mn O2'\r\n_chemical_formula_sum ''\r\n_cell_length_a 9.815\r\n_cell_length_b 9.815\r\n_cell_length_c 2.847\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 90\r\n_cell_volume 274.263\r\n_exptl_crystal_density_diffrn      4.211\r\n_symmetry_space_group_name_H-M 'I 4/m'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  '1/2+x,1/2+y,1/2+z'\r\n  'y,-x,-z'\r\n  '1/2+y,1/2-x,1/2-z'\r\n  '-y,x,z'\r\n  '1/2-y,1/2+x,1/2+z'\r\n  'x,y,-z'\r\n  '1/2+x,1/2+y,1/2-z'\r\n  '-x,-y,z'\r\n  '1/2-x,1/2-y,1/2+z'\r\n  '-y,x,-z'\r\n  '1/2-y,1/2+x,1/2-z'\r\n  'y,-x,z'\r\n  '1/2+y,1/2-x,1/2+z'\r\n  '-x,-y,-z'\r\n  '1/2-x,1/2-y,1/2-z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\nMn   0.33000   0.15000   0.50000\r\nO1   0.20500   0.16000   0.00000\r\nO2   0.45800   0.16000   0.00000\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/I4=mcm.cif",
    "content": "data_global\r\n_chemical_name_mineral 'Anyuiite'\r\nloop_\r\n_publ_author_name\r\n'Wyckoff R W G'\r\n_journal_name_full 'Crystal Structures'\r\n_journal_volume 1 \r\n_journal_year 1963\r\n_journal_page_first 239\r\n_journal_page_last 444\r\n_publ_section_title\r\n;\r\n Second edition. Interscience Publishers, New York, New York\r\n;\r\n_database_code_amcsd 0011802\r\n_chemical_formula_sum 'Au Pb2'\r\n_chemical_formula_sum ''\r\n_cell_length_a 7.31\r\n_cell_length_b 7.31\r\n_cell_length_c 5.644\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 90\r\n_cell_volume 301.593\r\n_exptl_crystal_density_diffrn     13.464\r\n_symmetry_space_group_name_H-M 'I 4/m c m'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  '1/2+x,1/2+y,1/2+z'\r\n  '-y,-x,1/2+z'\r\n  '1/2-y,1/2-x,+z'\r\n  'y,x,1/2-z'\r\n  '1/2+y,1/2+x,-z'\r\n  'y,-x,-z'\r\n  '1/2+y,1/2-x,1/2-z'\r\n  '-y,x,z'\r\n  '1/2-y,1/2+x,1/2+z'\r\n  'x,-y,1/2+z'\r\n  '1/2+x,1/2-y,+z'\r\n  '-x,y,1/2-z'\r\n  '1/2-x,1/2+y,-z'\r\n  'x,y,-z'\r\n  '1/2+x,1/2+y,1/2-z'\r\n  '-x,-y,z'\r\n  '1/2-x,1/2-y,1/2+z'\r\n  'y,x,1/2+z'\r\n  '1/2+y,1/2+x,+z'\r\n  '-y,-x,1/2-z'\r\n  '1/2-y,1/2-x,-z'\r\n  '-y,x,-z'\r\n  '1/2-y,1/2+x,1/2-z'\r\n  'y,-x,z'\r\n  '1/2+y,1/2-x,1/2+z'\r\n  '-x,y,1/2+z'\r\n  '1/2-x,1/2+y,+z'\r\n  'x,-y,1/2-z'\r\n  '1/2+x,1/2-y,-z'\r\n  '-x,-y,-z'\r\n  '1/2-x,1/2-y,1/2-z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\nAu   0.00000   0.00000   0.25000\r\nPb   0.16700   0.66700   0.00000\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/I4=mmm.cif",
    "content": "data_global\r\n_chemical_name_mineral 'Gallium'\r\nloop_\r\n_publ_author_name\r\n'Bosio L'\r\n_journal_name_full 'Journal of Chemical Physics'\r\n_journal_volume 68 \r\n_journal_year 1978\r\n_journal_page_first 1221\r\n_journal_page_last 1223\r\n_publ_section_title\r\n;\r\n Crystal structures of Ga(II) and Ga(III)\r\n Sample: at P = 2.8 GPa, T = 298 K\r\n Note: structure known as Ga(III) phase\r\n;\r\n_database_code_amcsd 0013006\r\n_chemical_compound_source 'Synthetic'\r\n_chemical_formula_sum 'Ga'\r\n_chemical_formula_sum ''\r\n_cell_length_a 2.813\r\n_cell_length_b 2.813\r\n_cell_length_c 4.452\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 90\r\n_cell_volume 35.229\r\n_exptl_crystal_density_diffrn      6.573\r\n_symmetry_space_group_name_H-M 'I 4/m m m'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  '1/2+x,1/2+y,1/2+z'\r\n  '-y,-x,z'\r\n  '1/2-y,1/2-x,1/2+z'\r\n  'y,x,-z'\r\n  '1/2+y,1/2+x,1/2-z'\r\n  'y,-x,-z'\r\n  '1/2+y,1/2-x,1/2-z'\r\n  '-y,x,z'\r\n  '1/2-y,1/2+x,1/2+z'\r\n  'x,-y,z'\r\n  '1/2+x,1/2-y,1/2+z'\r\n  '-x,y,-z'\r\n  '1/2-x,1/2+y,1/2-z'\r\n  'x,y,-z'\r\n  '1/2+x,1/2+y,1/2-z'\r\n  '-x,-y,z'\r\n  '1/2-x,1/2-y,1/2+z'\r\n  'y,x,z'\r\n  '1/2+y,1/2+x,1/2+z'\r\n  '-y,-x,-z'\r\n  '1/2-y,1/2-x,1/2-z'\r\n  '-y,x,-z'\r\n  '1/2-y,1/2+x,1/2-z'\r\n  'y,-x,z'\r\n  '1/2+y,1/2-x,1/2+z'\r\n  '-x,y,z'\r\n  '1/2-x,1/2+y,1/2+z'\r\n  'x,-y,-z'\r\n  '1/2+x,1/2-y,1/2-z'\r\n  '-x,-y,-z'\r\n  '1/2-x,1/2-y,1/2-z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\nGa   0.00000   0.00000   0.00000\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/I4_122.cif",
    "content": "data_global\r\n_amcsd_formula_title 'NbP'\r\nloop_\r\n_publ_author_name\r\n'Wyckoff R W G'\r\n_journal_name_full 'Crystal Structures'\r\n_journal_volume 1 \r\n_journal_year 1963\r\n_journal_page_first 85\r\n_journal_page_last 237\r\n_publ_section_title\r\n;\r\n Second edition. Interscience Publishers, New York, New York\r\n Note: beta form\r\n;\r\n_database_code_amcsd 0011651\r\n_chemical_formula_sum 'Nb P'\r\n_chemical_formula_sum ''\r\n_cell_length_a 3.325\r\n_cell_length_b 3.325\r\n_cell_length_c 11.38\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 90\r\n_cell_volume 125.813\r\n_exptl_crystal_density_diffrn      6.540\r\n_symmetry_space_group_name_H-M 'I 41 2 2'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  '1/2+x,1/2+y,1/2+z'\r\n  '1/2+y,1/2+x,1/2-z'\r\n  '+y,+x,-z'\r\n  '-y,1/2+x,1/4+z'\r\n  '1/2-y,+x,3/4+z'\r\n  '1/2-x,y,3/4-z'\r\n  '-x,1/2+y,1/4-z'\r\n  '1/2-x,1/2-y,1/2+z'\r\n  '-x,-y,+z'\r\n  '-y,-x,-z'\r\n  '1/2-y,1/2-x,1/2-z'\r\n  '1/2+y,-x,3/4+z'\r\n  '+y,1/2-x,1/4+z'\r\n  'x,1/2-y,1/4-z'\r\n  '1/2+x,-y,3/4-z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\nNb   0.00000   0.00000   0.00000\r\nP   0.00000   0.00000   0.50000\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/I4_1=a.cif",
    "content": "data_global\r\n_amcsd_formula_title 'Ge Hf O4'\r\nloop_\r\n_publ_author_name\r\n'Durif A'\r\n_journal_name_full 'Acta Crystallographica'\r\n_journal_volume 14 \r\n_journal_year 1961\r\n_journal_page_first 312\r\n_journal_page_last 312\r\n_publ_section_title\r\n;\r\n Structure du germanate d'hafnium\r\n _cod_database_code 1007090\r\n;\r\n_database_code_amcsd 0009248\r\n_chemical_formula_sum 'Ge Hf'\r\n_chemical_formula_sum ''\r\n_cell_length_a 4.849\r\n_cell_length_b 4.849\r\n_cell_length_c 10.501\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 90\r\n_cell_volume 246.908\r\n_exptl_crystal_density_diffrn      6.755\r\n_symmetry_space_group_name_H-M 'I 41/a'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  '1/2+x,1/2+y,1/2+z'\r\n  '1/2+y,1/2-x,1/2-z'\r\n  '+y,-x,-z'\r\n  '-y,1/2+x,1/4+z'\r\n  '1/2-y,+x,3/4+z'\r\n  '1/2+x,y,3/4-z'\r\n  '+x,1/2+y,1/4-z'\r\n  '1/2-x,1/2-y,1/2+z'\r\n  '-x,-y,+z'\r\n  '-y,x,-z'\r\n  '1/2-y,1/2+x,1/2-z'\r\n  '1/2+y,-x,3/4+z'\r\n  '+y,1/2-x,1/4+z'\r\n  '-x,1/2-y,1/4-z'\r\n  '1/2-x,-y,3/4-z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\nGe1   0.00000   0.00000   0.00000\r\nHf1   0.00000   0.00000   0.50000\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/I4_1=amd.cif",
    "content": "data_global\r\n_chemical_name_mineral 'Tin'\r\nloop_\r\n_publ_author_name\r\n'Wyckoff R W G'\r\n_journal_name_full 'Crystal Structures'\r\n_journal_volume 1 \r\n_journal_year 1963\r\n_journal_page_first 7\r\n_journal_page_last 83\r\n_publ_section_title\r\n;\r\n Second edition. Interscience Publishers, New York, New York\r\n Sample known as white tin\r\n;\r\n_database_code_amcsd 0011248\r\n_chemical_formula_sum 'Sn'\r\n_chemical_formula_sum ''\r\n_cell_length_a 5.8197\r\n_cell_length_b 5.8197\r\n_cell_length_c 3.17488\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 90\r\n_cell_volume 107.530\r\n_exptl_crystal_density_diffrn      7.333\r\n_symmetry_space_group_name_H-M 'I 41/a m d'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  '1/2+x,1/2+y,1/2+z'\r\n  '-y,1/2-x,1/4+z'\r\n  '1/2-y,-x,3/4+z'\r\n  '1/2+y,1/2+x,1/2-z'\r\n  '+y,+x,-z'\r\n  '1/2+y,1/2-x,1/2-z'\r\n  '+y,-x,-z'\r\n  '-y,1/2+x,1/4+z'\r\n  '1/2-y,+x,3/4+z'\r\n  '1/2+x,1/2-y,1/2+z'\r\n  '+x,-y,+z'\r\n  '1/2-x,y,3/4-z'\r\n  '-x,1/2+y,1/4-z'\r\n  '1/2+x,y,3/4-z'\r\n  '+x,1/2+y,1/4-z'\r\n  '1/2-x,1/2-y,1/2+z'\r\n  '-x,-y,+z'\r\n  '1/2+y,x,3/4+z'\r\n  '+y,1/2+x,1/4+z'\r\n  '-y,-x,-z'\r\n  '1/2-y,1/2-x,1/2-z'\r\n  '-y,x,-z'\r\n  '1/2-y,1/2+x,1/2-z'\r\n  '1/2+y,-x,3/4+z'\r\n  '+y,1/2-x,1/4+z'\r\n  '-x,y,z'\r\n  '1/2-x,1/2+y,1/2+z'\r\n  'x,1/2-y,1/4-z'\r\n  '1/2+x,-y,3/4-z'\r\n  '-x,1/2-y,1/4-z'\r\n  '1/2-x,-y,3/4-z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\nSn   0.00000   0.00000   0.00000\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/Ia-3d.cif",
    "content": "data_global\r\n_chemical_name_mineral 'Hydrogarnet'\r\nloop_\r\n_publ_author_name\r\n'Lager G A'\r\n'Armbruster T'\r\n'Faber J'\r\n_journal_name_full 'American Mineralogist'\r\n_journal_volume 72 \r\n_journal_year 1987\r\n_journal_page_first 756\r\n_journal_page_last 765\r\n_publ_section_title\r\n;\r\n Neutron and X-ray diffraction study of hydrogarnet Ca3Al2(O4H4)3\r\n Sample: T = 300 K, X-ray 2, without H\r\n;\r\n_database_code_amcsd 0001108\r\n_chemical_formula_sum 'Ca3 Al2 (O12 H12)'\r\n_chemical_formula_sum ''\r\n_cell_length_a 12.565\r\n_cell_length_b 12.565\r\n_cell_length_c 12.565\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 90\r\n_cell_volume 1983.752\r\n_exptl_crystal_density_diffrn      2.533\r\n_symmetry_space_group_name_H-M 'I a -3 d'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  '1/2+x,1/2+y,1/2+z'\r\n  'z,1/2-x,1/2+y'\r\n  '1/2+z,-x,+y'\r\n  '-y,1/2+z,1/2-x'\r\n  '1/2-y,+z,-x'\r\n  'x,1/2-y,1/2+z'\r\n  '1/2+x,-y,+z'\r\n  '-z,1/2+x,1/2-y'\r\n  '1/2-z,+x,-y'\r\n  'y,1/2-z,1/2+x'\r\n  '1/2+y,-z,+x'\r\n  '-x,1/2+y,1/2-z'\r\n  '1/2-x,+y,-z'\r\n  '3/4+x,1/4-z,3/4-y'\r\n  '1/4+x,3/4-z,1/4-y'\r\n  '3/4-z,1/4+y,3/4+x'\r\n  '1/4-z,3/4+y,1/4+x'\r\n  '3/4+y,1/4-x,3/4-z'\r\n  '1/4+y,3/4-x,1/4-z'\r\n  '3/4-x,1/4+z,3/4+y'\r\n  '1/4-x,3/4+z,1/4+y'\r\n  '3/4+z,1/4-y,3/4-x'\r\n  '1/4+z,3/4-y,1/4-x'\r\n  '3/4-y,1/4+x,3/4+z'\r\n  '1/4-y,3/4+x,1/4+z'\r\n  '1/4+x,1/4+z,1/4+y'\r\n  '3/4+x,3/4+z,3/4+y'\r\n  '1/4-z,1/4-y,1/4-x'\r\n  '3/4-z,3/4-y,3/4-x'\r\n  '1/4+y,1/4+x,1/4+z'\r\n  '3/4+y,3/4+x,3/4+z'\r\n  '1/4-x,1/4-z,1/4-y'\r\n  '3/4-x,3/4-z,3/4-y'\r\n  '1/4+z,1/4+y,1/4+x'\r\n  '3/4+z,3/4+y,3/4+x'\r\n  '1/4-y,1/4-x,1/4-z'\r\n  '3/4-y,3/4-x,3/4-z'\r\n  '1/2+z,x,1/2-y'\r\n  '+z,1/2+x,-y'\r\n  '1/2-y,-z,1/2+x'\r\n  '-y,1/2-z,+x'\r\n  '1/2+x,y,1/2-z'\r\n  '+x,1/2+y,-z'\r\n  '1/2-z,-x,1/2+y'\r\n  '-z,1/2-x,+y'\r\n  '1/2+y,z,1/2-x'\r\n  '+y,1/2+z,-x'\r\n  '1/2-x,-y,1/2+z'\r\n  '-x,1/2-y,+z'\r\n  '1/2-z,1/2+x,y'\r\n  '-z,+x,1/2+y'\r\n  '1/2+y,1/2-z,-x'\r\n  '+y,-z,1/2-x'\r\n  '1/2-x,1/2+y,z'\r\n  '-x,+y,1/2+z'\r\n  '1/2+z,1/2-x,-y'\r\n  '+z,-x,1/2-y'\r\n  '1/2-y,1/2+z,x'\r\n  '-y,+z,1/2+x'\r\n  '1/2+x,1/2-y,-z'\r\n  '+x,-y,1/2-z'\r\n  '3/4-x,3/4+z,1/4-y'\r\n  '1/4-x,1/4+z,3/4-y'\r\n  '3/4+z,3/4-y,1/4+x'\r\n  '1/4+z,1/4-y,3/4+x'\r\n  '3/4-y,3/4+x,1/4-z'\r\n  '1/4-y,1/4+x,3/4-z'\r\n  '3/4+x,3/4-z,1/4+y'\r\n  '1/4+x,1/4-z,3/4+y'\r\n  '3/4-z,3/4+y,1/4-x'\r\n  '1/4-z,1/4+y,3/4-x'\r\n  '3/4+y,3/4-x,1/4+z'\r\n  '1/4+y,1/4-x,3/4+z'\r\n  '1/4-x,3/4-z,3/4+y'\r\n  '3/4-x,1/4-z,1/4+y'\r\n  '1/4+z,3/4+y,3/4-x'\r\n  '3/4+z,1/4+y,1/4-x'\r\n  '1/4-y,3/4-x,3/4+z'\r\n  '3/4-y,1/4-x,1/4+z'\r\n  '1/4+x,3/4+z,3/4-y'\r\n  '3/4+x,1/4+z,1/4-y'\r\n  '1/4-z,3/4-y,3/4+x'\r\n  '3/4-z,1/4-y,1/4+x'\r\n  '1/4+y,3/4+x,3/4-z'\r\n  '3/4+y,1/4+x,1/4-z'\r\n  '-z,-x,-y'\r\n  '1/2-z,1/2-x,1/2-y'\r\n  'y,z,x'\r\n  '1/2+y,1/2+z,1/2+x'\r\n  '-x,-y,-z'\r\n  '1/2-x,1/2-y,1/2-z'\r\n  'z,x,y'\r\n  '1/2+z,1/2+x,1/2+y'\r\n  '-y,-z,-x'\r\n  '1/2-y,1/2-z,1/2-x'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\nCa   0.12500   0.00000   0.25000\r\nAl   0.00000   0.00000   0.00000\r\nO-H   0.02860   0.05280   0.63980\r\nloop_\r\n_atom_site_aniso_label\r\n_atom_site_aniso_U_11\r\n_atom_site_aniso_U_22\r\n_atom_site_aniso_U_33\r\n_atom_site_aniso_U_12\r\n_atom_site_aniso_U_13\r\n_atom_site_aniso_U_23\r\nCa 0.01368 0.00912 0.00912 0.00000 0.00000 0.00256\r\nAl 0.00848 0.00848 0.00848 -0.00064 -0.00064 -0.00064\r\nO-H 0.01480 0.01448 0.01032 -0.00240 -0.00096 -0.00360\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/Ia3.cif",
    "content": "data_global\r\n_chemical_name_mineral 'Silicon'\r\nloop_\r\n_publ_author_name\r\n'Kasper J S'\r\n'Richards S M'\r\n_journal_name_full 'Acta Crystallographica'\r\n_journal_volume 17 \r\n_journal_year 1964\r\n_journal_page_first 752\r\n_journal_page_last 755\r\n_publ_section_title\r\n;\r\n The crystal structures of new forms of silicon and germanium\r\n;\r\n_database_code_amcsd 0009282\r\n_chemical_compound_source 'Synthetic'\r\n_chemical_formula_sum 'Si'\r\n_chemical_formula_sum ''\r\n_cell_length_a 6.636\r\n_cell_length_b 6.636\r\n_cell_length_c 6.636\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 90\r\n_cell_volume 292.226\r\n_exptl_crystal_density_diffrn      2.553\r\n_symmetry_space_group_name_H-M 'I a 3'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  '1/2+x,1/2+y,1/2+z'\r\n  '1/2+z,x,1/2-y'\r\n  '+z,1/2+x,-y'\r\n  '1/2+z,-x,y'\r\n  '+z,1/2-x,1/2+y'\r\n  '-z,x,1/2+y'\r\n  '1/2-z,1/2+x,+y'\r\n  '-z,-x,-y'\r\n  '1/2-z,1/2-x,1/2-y'\r\n  '1/2+y,1/2-z,-x'\r\n  '+y,-z,1/2-x'\r\n  '-y,1/2-z,x'\r\n  '1/2-y,-z,1/2+x'\r\n  '1/2-y,z,-x'\r\n  '-y,1/2+z,1/2-x'\r\n  'y,z,x'\r\n  '1/2+y,1/2+z,1/2+x'\r\n  'x,1/2-y,1/2+z'\r\n  '1/2+x,-y,+z'\r\n  '-x,y,1/2+z'\r\n  '1/2-x,1/2+y,+z'\r\n  'x,1/2+y,-z'\r\n  '1/2+x,+y,1/2-z'\r\n  '-x,-y,-z'\r\n  '1/2-x,1/2-y,1/2-z'\r\n  '1/2-z,-x,1/2+y'\r\n  '-z,1/2-x,+y'\r\n  '1/2-z,x,-y'\r\n  '-z,1/2+x,1/2-y'\r\n  'z,-x,1/2-y'\r\n  '1/2+z,1/2-x,-y'\r\n  'z,x,y'\r\n  '1/2+z,1/2+x,1/2+y'\r\n  '1/2-y,1/2+z,x'\r\n  '-y,+z,1/2+x'\r\n  'y,1/2+z,-x'\r\n  '1/2+y,+z,1/2-x'\r\n  '1/2+y,-z,x'\r\n  '+y,1/2-z,1/2+x'\r\n  '-y,-z,-x'\r\n  '1/2-y,1/2-z,1/2-x'\r\n  '-x,1/2+y,1/2-z'\r\n  '1/2-x,+y,-z'\r\n  'x,-y,1/2-z'\r\n  '1/2+x,1/2-y,-z'\r\n  '-x,1/2-y,z'\r\n  '1/2-x,-y,1/2+z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\n_atom_site_U_iso_or_equiv\r\nSi   0.10030   0.10030   0.10030   0.01127\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/Ia3d.cif",
    "content": "data_global\r\n_chemical_name_mineral 'Calderite'\r\nloop_\r\n_publ_author_name\r\n'Ottonello G'\r\n'Borketa M'\r\n'Sciuto P F'\r\n_journal_name_full 'American Mineralogist'\r\n_journal_volume 81 \r\n_journal_year 1996\r\n_journal_page_first 429\r\n_journal_page_last 447\r\n_publ_section_title\r\n;\r\n Parameterization of energy and interactions in garnets: End-member properties\r\n;\r\n_database_code_amcsd 0018998\r\n_chemical_compound_source 'Calculated structure'\r\n_chemical_formula_sum 'Mn3 Fe2 Si3 O12'\r\n_chemical_formula_sum ''\r\n_cell_length_a 11.8288\r\n_cell_length_b 11.8288\r\n_cell_length_c 11.8288\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 90\r\n_cell_volume 1655.092\r\n_exptl_crystal_density_diffrn      4.437\r\n_symmetry_space_group_name_H-M 'I a 3 d'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  '1/2+x,1/2+y,1/2+z'\r\n  'z,1/2-x,1/2+y'\r\n  '1/2+z,-x,+y'\r\n  '-y,1/2+z,1/2-x'\r\n  '1/2-y,+z,-x'\r\n  'x,1/2-y,1/2+z'\r\n  '1/2+x,-y,+z'\r\n  '-z,1/2+x,1/2-y'\r\n  '1/2-z,+x,-y'\r\n  'y,1/2-z,1/2+x'\r\n  '1/2+y,-z,+x'\r\n  '-x,1/2+y,1/2-z'\r\n  '1/2-x,+y,-z'\r\n  '3/4+x,1/4-z,3/4-y'\r\n  '1/4+x,3/4-z,1/4-y'\r\n  '3/4-z,1/4+y,3/4+x'\r\n  '1/4-z,3/4+y,1/4+x'\r\n  '3/4+y,1/4-x,3/4-z'\r\n  '1/4+y,3/4-x,1/4-z'\r\n  '3/4-x,1/4+z,3/4+y'\r\n  '1/4-x,3/4+z,1/4+y'\r\n  '3/4+z,1/4-y,3/4-x'\r\n  '1/4+z,3/4-y,1/4-x'\r\n  '3/4-y,1/4+x,3/4+z'\r\n  '1/4-y,3/4+x,1/4+z'\r\n  '1/4+x,1/4+z,1/4+y'\r\n  '3/4+x,3/4+z,3/4+y'\r\n  '1/4-z,1/4-y,1/4-x'\r\n  '3/4-z,3/4-y,3/4-x'\r\n  '1/4+y,1/4+x,1/4+z'\r\n  '3/4+y,3/4+x,3/4+z'\r\n  '1/4-x,1/4-z,1/4-y'\r\n  '3/4-x,3/4-z,3/4-y'\r\n  '1/4+z,1/4+y,1/4+x'\r\n  '3/4+z,3/4+y,3/4+x'\r\n  '1/4-y,1/4-x,1/4-z'\r\n  '3/4-y,3/4-x,3/4-z'\r\n  '1/2+z,x,1/2-y'\r\n  '+z,1/2+x,-y'\r\n  '1/2-y,-z,1/2+x'\r\n  '-y,1/2-z,+x'\r\n  '1/2+x,y,1/2-z'\r\n  '+x,1/2+y,-z'\r\n  '1/2-z,-x,1/2+y'\r\n  '-z,1/2-x,+y'\r\n  '1/2+y,z,1/2-x'\r\n  '+y,1/2+z,-x'\r\n  '1/2-x,-y,1/2+z'\r\n  '-x,1/2-y,+z'\r\n  '1/2-z,1/2+x,y'\r\n  '-z,+x,1/2+y'\r\n  '1/2+y,1/2-z,-x'\r\n  '+y,-z,1/2-x'\r\n  '1/2-x,1/2+y,z'\r\n  '-x,+y,1/2+z'\r\n  '1/2+z,1/2-x,-y'\r\n  '+z,-x,1/2-y'\r\n  '1/2-y,1/2+z,x'\r\n  '-y,+z,1/2+x'\r\n  '1/2+x,1/2-y,-z'\r\n  '+x,-y,1/2-z'\r\n  '3/4-x,3/4+z,1/4-y'\r\n  '1/4-x,1/4+z,3/4-y'\r\n  '3/4+z,3/4-y,1/4+x'\r\n  '1/4+z,1/4-y,3/4+x'\r\n  '3/4-y,3/4+x,1/4-z'\r\n  '1/4-y,1/4+x,3/4-z'\r\n  '3/4+x,3/4-z,1/4+y'\r\n  '1/4+x,1/4-z,3/4+y'\r\n  '3/4-z,3/4+y,1/4-x'\r\n  '1/4-z,1/4+y,3/4-x'\r\n  '3/4+y,3/4-x,1/4+z'\r\n  '1/4+y,1/4-x,3/4+z'\r\n  '1/4-x,3/4-z,3/4+y'\r\n  '3/4-x,1/4-z,1/4+y'\r\n  '1/4+z,3/4+y,3/4-x'\r\n  '3/4+z,1/4+y,1/4-x'\r\n  '1/4-y,3/4-x,3/4+z'\r\n  '3/4-y,1/4-x,1/4+z'\r\n  '1/4+x,3/4+z,3/4-y'\r\n  '3/4+x,1/4+z,1/4-y'\r\n  '1/4-z,3/4-y,3/4+x'\r\n  '3/4-z,1/4-y,1/4+x'\r\n  '1/4+y,3/4+x,3/4-z'\r\n  '3/4+y,1/4+x,1/4-z'\r\n  '-z,-x,-y'\r\n  '1/2-z,1/2-x,1/2-y'\r\n  'y,z,x'\r\n  '1/2+y,1/2+z,1/2+x'\r\n  '-x,-y,-z'\r\n  '1/2-x,1/2-y,1/2-z'\r\n  'z,x,y'\r\n  '1/2+z,1/2+x,1/2+y'\r\n  '-y,-z,-x'\r\n  '1/2-y,1/2-z,1/2-x'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\nMn   0.12500   0.00000   0.25000\r\nFe   0.00000   0.00000   0.00000\r\nSi   0.37500   0.00000   0.25000\r\nO   0.03672   0.05137   0.65715\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/Iba2.cif",
    "content": "data_global\r\n_chemical_name_mineral 'Stronalsite'\r\nloop_\r\n_publ_author_name\r\n'Liferovich R P'\r\n'Locock A J'\r\n'Mitchell R H'\r\n'Shpachenko A K'\r\n_journal_name_full 'The Canadian Mineralogist'\r\n_journal_volume 44 \r\n_journal_year 2006\r\n_journal_page_first 533\r\n_journal_page_last 546\r\n_publ_section_title\r\n;\r\n The crystal structure of stronalsite and a\r\n redetermination of the structure of banalsite\r\n;\r\n_database_code_amcsd 0006093\r\n_chemical_compound_source 'Khibina peralkaline complex, Kola alkaline province, Russia'\r\n_chemical_formula_sum 'Sr Na2 Al4 Si4 O16'\r\n_chemical_formula_sum ''\r\n_cell_length_a 8.4080\r\n_cell_length_b 9.8699\r\n_cell_length_c 16.7083\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 90\r\n_cell_volume 1386.557\r\n_exptl_crystal_density_diffrn      2.921\r\n_symmetry_space_group_name_H-M 'I b a 2'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  '1/2+x,1/2+y,1/2+z'\r\n  'x,-y,1/2+z'\r\n  '1/2+x,1/2-y,+z'\r\n  '-x,y,1/2+z'\r\n  '1/2-x,1/2+y,+z'\r\n  '-x,-y,z'\r\n  '1/2-x,1/2-y,1/2+z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\n_atom_site_U_iso_or_equiv\r\nSr   0.00000   0.50000   0.15410   0.01690\r\nNa  -0.04300   0.32440  -0.09550   0.02150\r\nAl1   0.06930   0.19120   0.06350   0.01150\r\nAl2  -0.27710   0.45070   0.31060   0.01050\r\nSi1  -0.26310   0.55460  -0.00170   0.01080\r\nSi2   0.07700   0.80090   0.24570   0.01010\r\nO1  -0.21540   0.49110   0.40790   0.01610\r\nO2  -0.00230   0.21540   0.15930   0.01830\r\nO3  -0.07760   0.14270  -0.00400   0.01390\r\nO4   0.22480   0.90640   0.24880   0.01420\r\nO5   0.22780   0.07600   0.05710   0.01560\r\nO6  -0.44850   0.35340   0.31000   0.01500\r\nO7   0.12180   0.64720   0.27200   0.01640\r\nO8  -0.11550   0.64390   0.03270   0.01340\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/Ibam.cif",
    "content": "data_global\r\n_amcsd_formula_title 'S2 Si'\r\nloop_\r\n_publ_author_name\r\n'Buessem W'\r\n'Fischer H'\r\n'Gruner E'\r\n_journal_name_full 'Naturwissenschaften'\r\n_journal_volume 23 \r\n_journal_year 1935\r\n_journal_page_first 740\r\n_journal_page_last 740\r\n_publ_section_title\r\n;\r\n Die Struktur des Siliciumdisulfids\r\n _cod_database_code 1010409\r\n;\r\n_database_code_amcsd 0017334\r\n_chemical_formula_sum 'Si S2'\r\n_chemical_formula_sum ''\r\n_cell_length_a 9.57\r\n_cell_length_b 5.65\r\n_cell_length_c 5.54\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 90\r\n_cell_volume 299.551\r\n_exptl_crystal_density_diffrn      2.045\r\n_symmetry_space_group_name_H-M 'I b a m'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  '1/2+x,1/2+y,1/2+z'\r\n  'x,-y,1/2+z'\r\n  '1/2+x,1/2-y,+z'\r\n  '-x,y,1/2-z'\r\n  '1/2-x,1/2+y,-z'\r\n  '-x,y,1/2+z'\r\n  '1/2-x,1/2+y,+z'\r\n  'x,-y,1/2-z'\r\n  '1/2+x,1/2-y,-z'\r\n  'x,y,-z'\r\n  '1/2+x,1/2+y,1/2-z'\r\n  '-x,-y,z'\r\n  '1/2-x,1/2-y,1/2+z'\r\n  '-x,-y,-z'\r\n  '1/2-x,1/2-y,1/2-z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\nSi1   0.00000   0.00000   0.25000\r\nS1   0.11700   0.21700   0.00000\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/Im-3m.cif",
    "content": "data_global\r\n_chemical_name_mineral 'Steinhardtite'\r\nloop_\r\n_publ_author_name\r\n'Vailionis A'\r\n'Gamaly E G'\r\n'Mizeikis V'\r\n'Yang W'\r\n'Rode A V'\r\n'Juodkazis S'\r\n_journal_name_full 'Nature Communications'\r\n_journal_volume 2 \r\n_journal_year 2011\r\n_journal_page_first 445\r\n_journal_page_last 6\r\n_publ_section_title\r\n;\r\n Evidence of superdense aluminium synthesized by ultrafast microexplosion\r\n;\r\n_database_code_amcsd 0020218\r\n_chemical_compound_source 'Synthetic'\r\n_chemical_formula_sum 'Al'\r\n_chemical_formula_sum ''\r\n_cell_length_a 2.866\r\n_cell_length_b 2.866\r\n_cell_length_c 2.866\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 90\r\n_cell_volume 23.541\r\n_exptl_crystal_density_diffrn      3.806\r\n_symmetry_space_group_name_H-M 'I m -3 m'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  '1/2+x,1/2+y,1/2+z'\r\n  'z,-x,y'\r\n  '1/2+z,1/2-x,1/2+y'\r\n  '-y,z,-x'\r\n  '1/2-y,1/2+z,1/2-x'\r\n  'x,-y,z'\r\n  '1/2+x,1/2-y,1/2+z'\r\n  '-z,x,-y'\r\n  '1/2-z,1/2+x,1/2-y'\r\n  'y,-z,x'\r\n  '1/2+y,1/2-z,1/2+x'\r\n  '-x,y,-z'\r\n  '1/2-x,1/2+y,1/2-z'\r\n  'x,-z,-y'\r\n  '1/2+x,1/2-z,1/2-y'\r\n  '-z,y,x'\r\n  '1/2-z,1/2+y,1/2+x'\r\n  'y,-x,-z'\r\n  '1/2+y,1/2-x,1/2-z'\r\n  '-x,z,y'\r\n  '1/2-x,1/2+z,1/2+y'\r\n  'z,-y,-x'\r\n  '1/2+z,1/2-y,1/2-x'\r\n  '-y,x,z'\r\n  '1/2-y,1/2+x,1/2+z'\r\n  'x,z,y'\r\n  '1/2+x,1/2+z,1/2+y'\r\n  '-z,-y,-x'\r\n  '1/2-z,1/2-y,1/2-x'\r\n  'y,x,z'\r\n  '1/2+y,1/2+x,1/2+z'\r\n  '-x,-z,-y'\r\n  '1/2-x,1/2-z,1/2-y'\r\n  'z,y,x'\r\n  '1/2+z,1/2+y,1/2+x'\r\n  '-y,-x,-z'\r\n  '1/2-y,1/2-x,1/2-z'\r\n  'z,x,-y'\r\n  '1/2+z,1/2+x,1/2-y'\r\n  '-y,-z,x'\r\n  '1/2-y,1/2-z,1/2+x'\r\n  'x,y,-z'\r\n  '1/2+x,1/2+y,1/2-z'\r\n  '-z,-x,y'\r\n  '1/2-z,1/2-x,1/2+y'\r\n  'y,z,-x'\r\n  '1/2+y,1/2+z,1/2-x'\r\n  '-x,-y,z'\r\n  '1/2-x,1/2-y,1/2+z'\r\n  '-z,x,y'\r\n  '1/2-z,1/2+x,1/2+y'\r\n  'y,-z,-x'\r\n  '1/2+y,1/2-z,1/2-x'\r\n  '-x,y,z'\r\n  '1/2-x,1/2+y,1/2+z'\r\n  'z,-x,-y'\r\n  '1/2+z,1/2-x,1/2-y'\r\n  '-y,z,x'\r\n  '1/2-y,1/2+z,1/2+x'\r\n  'x,-y,-z'\r\n  '1/2+x,1/2-y,1/2-z'\r\n  '-x,z,-y'\r\n  '1/2-x,1/2+z,1/2-y'\r\n  'z,-y,x'\r\n  '1/2+z,1/2-y,1/2+x'\r\n  '-y,x,-z'\r\n  '1/2-y,1/2+x,1/2-z'\r\n  'x,-z,y'\r\n  '1/2+x,1/2-z,1/2+y'\r\n  '-z,y,-x'\r\n  '1/2-z,1/2+y,1/2-x'\r\n  'y,-x,z'\r\n  '1/2+y,1/2-x,1/2+z'\r\n  '-x,-z,y'\r\n  '1/2-x,1/2-z,1/2+y'\r\n  'z,y,-x'\r\n  '1/2+z,1/2+y,1/2-x'\r\n  '-y,-x,z'\r\n  '1/2-y,1/2-x,1/2+z'\r\n  'x,z,-y'\r\n  '1/2+x,1/2+z,1/2-y'\r\n  '-z,-y,x'\r\n  '1/2-z,1/2-y,1/2+x'\r\n  'y,x,-z'\r\n  '1/2+y,1/2+x,1/2-z'\r\n  '-z,-x,-y'\r\n  '1/2-z,1/2-x,1/2-y'\r\n  'y,z,x'\r\n  '1/2+y,1/2+z,1/2+x'\r\n  '-x,-y,-z'\r\n  '1/2-x,1/2-y,1/2-z'\r\n  'z,x,y'\r\n  '1/2+z,1/2+x,1/2+y'\r\n  '-y,-z,-x'\r\n  '1/2-y,1/2-z,1/2-x'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\nAl   0.00000   0.00000   0.00000\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/Im.cif",
    "content": "data_global\r\n_chemical_name_mineral 'Shakhovite'\r\nloop_\r\n_publ_author_name\r\n'Tillmanns E'\r\n'Krupp R'\r\n'Abraham K'\r\n_journal_name_full 'Tschermaks Mineralogische und Petrographische Mitteilungen'\r\n_journal_volume 30 \r\n_journal_year 1982\r\n_journal_page_first 227\r\n_journal_page_last 235\r\n_publ_section_title\r\n;\r\n New data on the mercury antimony mineral shakhovite: Chemical composition,\r\n unit cell and crystal structure\r\n;\r\n_database_code_amcsd 0015689\r\n_chemical_compound_source 'Moschellandsberg, Palatinate, Germany'\r\n_chemical_formula_sum 'Hg4 Sb O6 H3'\r\n_chemical_formula_sum ''\r\n_cell_length_a 4.871\r\n_cell_length_b 15.098\r\n_cell_length_c 5.433\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 98.86\r\n_cell_angle_gamma 90\r\n_cell_volume 394.788\r\n_exptl_crystal_density_diffrn      8.607\r\n_symmetry_space_group_name_H-M 'I 1 m 1'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  '1/2+x,1/2+y,1/2+z'\r\n  'x,-y,z'\r\n  '1/2+x,1/2-y,1/2+z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\nHg1   0.00000   0.11845   0.00000\r\nHg2   0.36070   0.78042   0.51700\r\nSb   0.41690   0.00000   0.48820\r\nO1   0.72200   0.50000   0.63600\r\nO2   0.68000   0.59540   0.09000\r\nO-H3   0.15300   0.59590   0.88700\r\nO-H4   0.15300   0.50000   0.33300\r\nloop_\r\n_atom_site_aniso_label\r\n_atom_site_aniso_U_11\r\n_atom_site_aniso_U_22\r\n_atom_site_aniso_U_33\r\n_atom_site_aniso_U_12\r\n_atom_site_aniso_U_13\r\n_atom_site_aniso_U_23\r\nHg1 0.02140 0.00970 0.01304 0.00405 0.00215 0.00037\r\nHg2 0.02115 0.01005 0.01988 0.00390 0.00215 -0.00074\r\nSb 0.00329 0.00797 0.00545 0.00000 0.00038 0.00000\r\nO1 0.01393 0.00127 0.01013 0.00000 0.00126 0.00000\r\nO2 0.00886 0.00878 0.01266 0.00504 0.00126 0.00250\r\nO-H3 0.00886 0.01640 0.01139 -0.00250 0.00380 0.00378\r\nO-H4 0.00506 0.01767 0.00632 0.00000 0.00000 0.00000\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/Im2m.cif",
    "content": "data_global\r\n_amcsd_formula_title 'Na O3'\r\nloop_\r\n_publ_author_name\r\n'Klein W'\r\n'Armbruster K'\r\n'Jansen M'\r\n_journal_name_full 'Chemical Communications'\r\n_journal_volume 1998 \r\n_journal_year 1998\r\n_journal_page_first 707\r\n_journal_page_last 708\r\n_publ_section_title\r\n;\r\n Synthesis and crystal structure determination of sodium ozonide\r\n _cod_database_code 1008882\r\n;\r\n_database_code_amcsd 0016749\r\n_chemical_formula_sum 'Na O3'\r\n_chemical_formula_sum ''\r\n_cell_length_a 3.5070\r\n_cell_length_b 5.7703\r\n_cell_length_c 5.2701\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 90\r\n_cell_volume 106.648\r\n_exptl_crystal_density_diffrn      2.211\r\n_symmetry_space_group_name_H-M 'I m 2 m'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  '1/2+x,1/2+y,1/2+z'\r\n  '-x,y,z'\r\n  '1/2-x,1/2+y,1/2+z'\r\n  'x,y,-z'\r\n  '1/2+x,1/2+y,1/2-z'\r\n  '-x,y,-z'\r\n  '1/2-x,1/2+y,1/2-z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\nNa1   0.00000   0.50740   0.00000\r\nO1   0.00000   0.01060   0.00000\r\nO2   0.00000   0.88110   0.21390\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/Im3.cif",
    "content": "data_global\r\n_chemical_name_mineral 'Supercubane'\r\nloop_\r\n_publ_author_name\r\n'Fayos J'\r\n_journal_name_full 'Journal of Solid State Chemistry'\r\n_journal_volume 148 \r\n_journal_year 1999\r\n_journal_page_first 278\r\n_journal_page_last 285\r\n_publ_section_title\r\n;\r\n Possible 3D carbon structures as progressive intermediates in graphite\r\n to diamond phase transition\r\n Note: mathematical model, phase: supercubane\r\n;\r\n_database_code_amcsd 0013989\r\n_chemical_formula_sum 'C'\r\n_chemical_formula_sum ''\r\n_cell_length_a 4.28\r\n_cell_length_b 4.28\r\n_cell_length_c 4.28\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 90\r\n_cell_volume 78.403\r\n_exptl_crystal_density_diffrn      4.070\r\n_symmetry_space_group_name_H-M 'I m 3'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  '1/2+x,1/2+y,1/2+z'\r\n  'z,x,-y'\r\n  '1/2+z,1/2+x,1/2-y'\r\n  'z,-x,y'\r\n  '1/2+z,1/2-x,1/2+y'\r\n  '-z,x,y'\r\n  '1/2-z,1/2+x,1/2+y'\r\n  '-z,-x,-y'\r\n  '1/2-z,1/2-x,1/2-y'\r\n  'y,-z,-x'\r\n  '1/2+y,1/2-z,1/2-x'\r\n  '-y,-z,x'\r\n  '1/2-y,1/2-z,1/2+x'\r\n  '-y,z,-x'\r\n  '1/2-y,1/2+z,1/2-x'\r\n  'y,z,x'\r\n  '1/2+y,1/2+z,1/2+x'\r\n  'x,-y,z'\r\n  '1/2+x,1/2-y,1/2+z'\r\n  '-x,y,z'\r\n  '1/2-x,1/2+y,1/2+z'\r\n  'x,y,-z'\r\n  '1/2+x,1/2+y,1/2-z'\r\n  '-x,-y,-z'\r\n  '1/2-x,1/2-y,1/2-z'\r\n  '-z,-x,y'\r\n  '1/2-z,1/2-x,1/2+y'\r\n  '-z,x,-y'\r\n  '1/2-z,1/2+x,1/2-y'\r\n  'z,-x,-y'\r\n  '1/2+z,1/2-x,1/2-y'\r\n  'z,x,y'\r\n  '1/2+z,1/2+x,1/2+y'\r\n  '-y,z,x'\r\n  '1/2-y,1/2+z,1/2+x'\r\n  'y,z,-x'\r\n  '1/2+y,1/2+z,1/2-x'\r\n  'y,-z,x'\r\n  '1/2+y,1/2-z,1/2+x'\r\n  '-y,-z,-x'\r\n  '1/2-y,1/2-z,1/2-x'\r\n  '-x,y,-z'\r\n  '1/2-x,1/2+y,1/2-z'\r\n  'x,-y,-z'\r\n  '1/2+x,1/2-y,1/2-z'\r\n  '-x,-y,z'\r\n  '1/2-x,1/2-y,1/2+z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\nC   0.16660   0.16660   0.16660\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/Ima2.cif",
    "content": "data_global\r\n_amcsd_formula_title 'SiO2'\r\nloop_\r\n_publ_author_name\r\n'Boisen M B'\r\n'Gibbs G V'\r\n'Bukowinski M S T'\r\n_journal_name_full 'Physics and Chemistry of Minerals'\r\n_journal_volume 21 \r\n_journal_year 1994\r\n_journal_page_first 269\r\n_journal_page_last 284\r\n_publ_section_title\r\n;\r\n Framework silica structures generated using simulated annealing\r\n with a potential energy function based on an H6Si2O7 molecule\r\n Sample: 6\r\n;\r\n_database_code_amcsd 0007871\r\n_chemical_formula_sum 'Si O2'\r\n_chemical_formula_sum ''\r\n_cell_length_a 10.2170\r\n_cell_length_b 7.9579\r\n_cell_length_c 4.9565\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 90\r\n_cell_volume 402.993\r\n_exptl_crystal_density_diffrn      1.981\r\n_symmetry_space_group_name_H-M 'I m a 2'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  '1/2+x,1/2+y,1/2+z'\r\n  '1/2+x,-y,z'\r\n  '+x,1/2-y,1/2+z'\r\n  '1/2-x,y,z'\r\n  '-x,1/2+y,1/2+z'\r\n  '-x,-y,z'\r\n  '1/2-x,1/2-y,1/2+z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\nSi   0.10183   0.35660   0.50000\r\nO1   0.57933   0.69059   0.18477\r\nO2   0.75000   0.92453   0.04157\r\nO3   0.00000   0.50000   0.59431\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/Imam.cif",
    "content": "data_global\r\n_amcsd_formula_title 'Zn(NH3)2Cl2'\r\nloop_\r\n_publ_author_name\r\n'MacGillavry C'\r\n'Bijvoet J'\r\n_journal_name_full 'Zeitschrift fur Kristallographie'\r\n_journal_volume 94 \r\n_journal_year 1936\r\n_journal_page_first 249\r\n_journal_page_last 255\r\n_publ_section_title\r\n;\r\n Die Kristallstrukturen von Zn(NH3)2Cl2 und Zn(NH3)2Br2\r\n _cod_database_code 1010197\r\n;\r\n_database_code_amcsd 0017133\r\n_chemical_formula_sum 'Zn Cl2 N2'\r\n_chemical_formula_sum ''\r\n_cell_length_a 7.78\r\n_cell_length_b 8.5\r\n_cell_length_c 8.08\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 90\r\n_cell_volume 534.330\r\n_exptl_crystal_density_diffrn      2.042\r\n_symmetry_space_group_name_H-M 'I m a m'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  '1/2+x,1/2+y,1/2+z'\r\n  'x,y,1/2-z'\r\n  '1/2+x,1/2+y,-z'\r\n  '-x,-y,1/2+z'\r\n  '1/2-x,1/2-y,+z'\r\n  '-x,y,z'\r\n  '1/2-x,1/2+y,1/2+z'\r\n  'x,-y,-z'\r\n  '1/2+x,1/2-y,1/2-z'\r\n  'x,-y,1/2+z'\r\n  '1/2+x,1/2-y,+z'\r\n  '-x,y,1/2-z'\r\n  '1/2-x,1/2+y,-z'\r\n  '-x,-y,-z'\r\n  '1/2-x,1/2-y,1/2-z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\nZn1   0.00000   0.38900   0.25000\r\nCl1   0.00000   0.23100   0.01900\r\nN1   0.22000   0.52000   0.25000\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/Imm2.cif",
    "content": "data_global\r\n_amcsd_formula_title 'Ag N O2'\r\nloop_\r\n_publ_author_name\r\n'Ketelaar J'\r\n_journal_name_full 'Zeitschrift fur Kristallographie'\r\n_journal_volume 95 \r\n_journal_year 1936\r\n_journal_page_first 383\r\n_journal_page_last 393\r\n_publ_section_title\r\n;\r\n Die Kristallstruktur des Silbernitrits.\r\n _cod_database_code 1010262\r\n;\r\n_database_code_amcsd 0017189\r\n_chemical_formula_sum 'Ag N O2'\r\n_chemical_formula_sum ''\r\n_cell_length_a 3.505\r\n_cell_length_b 6.14\r\n_cell_length_c 5.16\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 90\r\n_cell_volume 111.047\r\n_exptl_crystal_density_diffrn      4.602\r\n_symmetry_space_group_name_H-M 'I m m 2'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  '1/2+x,1/2+y,1/2+z'\r\n  'x,-y,z'\r\n  '1/2+x,1/2-y,1/2+z'\r\n  '-x,y,z'\r\n  '1/2-x,1/2+y,1/2+z'\r\n  '-x,-y,z'\r\n  '1/2-x,1/2-y,1/2+z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\nAg1   0.00000   0.00000   0.00000\r\nN1   0.00000   0.00000   0.40000\r\nO1   0.00000   0.16700   0.50000\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/Imma.cif",
    "content": "data_global\r\n_chemical_name_mineral 'Silicon'\r\nloop_\r\n_publ_author_name\r\n'McMahon M I'\r\n'Nelmes R J'\r\n_journal_name_full 'Physical Review'\r\n_journal_volume B47 \r\n_journal_year 1993\r\n_journal_page_first 8337\r\n_journal_page_last 8340\r\n_publ_section_title\r\n;\r\n New high-pressure phase of Si\r\n Sample: structure exists between 13 GPa to 18 GPa\r\n Note: intermediate structure between those of Si II and Si V\r\n;\r\n_database_code_amcsd 0015170\r\n_chemical_compound_source 'Synthetic'\r\n_chemical_formula_sum 'Si'\r\n_chemical_formula_sum ''\r\n_cell_length_a 4.737\r\n_cell_length_b 4.502\r\n_cell_length_c 2.550\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 90\r\n_cell_volume 54.381\r\n_exptl_crystal_density_diffrn      3.430\r\n_symmetry_space_group_name_H-M 'I m m a'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  '1/2+x,1/2+y,1/2+z'\r\n  'x,1/2-y,z'\r\n  '1/2+x,-y,1/2+z'\r\n  '-x,1/2+y,-z'\r\n  '1/2-x,+y,1/2-z'\r\n  '-x,y,z'\r\n  '1/2-x,1/2+y,1/2+z'\r\n  'x,-y,-z'\r\n  '1/2+x,1/2-y,1/2-z'\r\n  'x,1/2+y,-z'\r\n  '1/2+x,+y,1/2-z'\r\n  '-x,1/2-y,z'\r\n  '1/2-x,-y,1/2+z'\r\n  '-x,-y,-z'\r\n  '1/2-x,1/2-y,1/2-z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\nSi   0.00000   0.25000   0.19300\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/Immm.cif",
    "content": "data_global\r\n_amcsd_formula_title 'Rb2O2'\r\nloop_\r\n_publ_author_name\r\n'Wyckoff R W G'\r\n_journal_name_full 'Crystal Structures'\r\n_journal_volume 1 \r\n_journal_year 1963\r\n_journal_page_first 85\r\n_journal_page_last 237\r\n_publ_section_title\r\n;\r\n Second edition. Interscience Publishers, New York, New York\r\n Rubidium peroxide\r\n;\r\n_database_code_amcsd 0011668\r\n_chemical_formula_sum 'Rb O'\r\n_chemical_formula_sum ''\r\n_cell_length_a 4.201\r\n_cell_length_b 7.075\r\n_cell_length_c 5.983\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 90\r\n_cell_volume 177.827\r\n_exptl_crystal_density_diffrn      3.790\r\n_symmetry_space_group_name_H-M 'I m m m'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  '1/2+x,1/2+y,1/2+z'\r\n  'x,-y,z'\r\n  '1/2+x,1/2-y,1/2+z'\r\n  '-x,y,-z'\r\n  '1/2-x,1/2+y,1/2-z'\r\n  '-x,y,z'\r\n  '1/2-x,1/2+y,1/2+z'\r\n  'x,-y,-z'\r\n  '1/2+x,1/2-y,1/2-z'\r\n  'x,y,-z'\r\n  '1/2+x,1/2+y,1/2-z'\r\n  '-x,-y,z'\r\n  '1/2-x,1/2-y,1/2+z'\r\n  '-x,-y,-z'\r\n  '1/2-x,1/2-y,1/2-z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\nRb   0.00000   0.25000   0.00000\r\nO   0.00000   0.00000   0.37500\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/P-3.cif",
    "content": "data_global\r\n_chemical_name_mineral 'Brucite'\r\nloop_\r\n_publ_author_name\r\n'Mookherjee M'\r\n'Stixrude L'\r\n_journal_name_full 'American Mineralogist'\r\n_journal_volume 91 \r\n_journal_year 2006\r\n_journal_page_first 127\r\n_journal_page_last 134\r\n_publ_section_title\r\n;\r\n High-pressure proton disorder in brucite\r\n Sample: P = .3 GPa\r\n Note: cell adjusted to match Figure 2\r\n;\r\n_database_code_amcsd 0003999\r\n_chemical_compound_source 'hypothetical structure calculated with DFT'\r\n_chemical_formula_sum 'Mg O2 H2'\r\n_chemical_formula_sum ''\r\n_cell_length_a 5.5407\r\n_cell_length_b 5.5407\r\n_cell_length_c 4.8435\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 120\r\n_cell_volume 128.771\r\n_exptl_crystal_density_diffrn      2.256\r\n_symmetry_space_group_name_H-M 'P -3'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  'y,-x+y,-z'\r\n  '-x+y,-x,z'\r\n  '-x,-y,-z'\r\n  '-y,x-y,z'\r\n  'x-y,x,-z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\nMg1   0.00000   0.00000   0.00000\r\nMg2   0.33333   0.66667   0.01090\r\nO   0.33210   0.33460   0.22000\r\nH   0.31650   0.34930   0.42200\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/P-31c.cif",
    "content": "data_global\r\n_chemical_name_mineral 'Witherite'\r\nloop_\r\n_publ_author_name\r\n'Holl C M'\r\n'Smyth J R'\r\n'Laustsen H M S'\r\n'Jacobsen S D'\r\n'Downs R T'\r\n_journal_name_full 'Physics and Chemistry of Minerals'\r\n_journal_volume 27 \r\n_journal_year 2000\r\n_journal_page_first 467\r\n_journal_page_last 473\r\n_publ_section_title\r\n;\r\n Compression of witherite to 8 GPa and the crystal structure of BaCO3 II\r\n Sample: P = 7.2 GPa\r\n;\r\n_database_code_amcsd 0008429\r\n_chemical_formula_sum 'Ba C O3'\r\n_chemical_formula_sum ''\r\n_cell_length_a 5.258\r\n_cell_length_b 5.258\r\n_cell_length_c 5.64\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 120\r\n_cell_volume 135.036\r\n_exptl_crystal_density_diffrn      4.853\r\n_symmetry_space_group_name_H-M 'P -3 1 c'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  'x-y,-y,1/2+z'\r\n  'y,-x+y,-z'\r\n  '-y,-x,1/2-z'\r\n  '-x+y,-x,z'\r\n  '-x,-x+y,1/2+z'\r\n  '-x,-y,-z'\r\n  '-x+y,y,1/2-z'\r\n  '-y,x-y,z'\r\n  'y,x,1/2+z'\r\n  'x-y,x,-z'\r\n  'x,x-y,1/2-z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\nBa   0.66667   0.33333   0.25000\r\nC   0.00000   0.00000   0.25000\r\nO   0.14000   0.86000   0.25000\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/P-31m.cif",
    "content": "data_global\r\n_chemical_name_mineral 'Rosiaite'\r\nloop_\r\n_publ_author_name\r\n'Basso R'\r\n'Lucchetti G'\r\n'Zefiro L'\r\n'Palenzona A'\r\n_journal_name_full 'European Journal of Mineralogy'\r\n_journal_volume 8 \r\n_journal_year 1996\r\n_journal_page_first 487\r\n_journal_page_last 492\r\n_publ_section_title\r\n;\r\n Rosiaite, PbSb2O6, a new mineral from the Cetine mine, Siena, Italy\r\n;\r\n_database_code_amcsd 0006628\r\n_chemical_compound_source 'Cetine mine, Siena, Italy'\r\n_chemical_formula_sum 'Pb Sb2 O6'\r\n_chemical_formula_sum ''\r\n_cell_length_a 5.295\r\n_cell_length_b 5.295\r\n_cell_length_c 5.372\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 120\r\n_cell_volume 130.436\r\n_exptl_crystal_density_diffrn      6.960\r\n_symmetry_space_group_name_H-M 'P -3 1 m'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  'x-y,-y,z'\r\n  'y,-x+y,-z'\r\n  '-y,-x,-z'\r\n  '-x+y,-x,z'\r\n  '-x,-x+y,z'\r\n  '-x,-y,-z'\r\n  '-x+y,y,-z'\r\n  '-y,x-y,z'\r\n  'y,x,z'\r\n  'x-y,x,-z'\r\n  'x,x-y,-z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\n_atom_site_U_iso_or_equiv\r\nPb   0.00000   0.00000   0.00000   0.01684\r\nSb   0.33333   0.66667   0.50000   0.01203\r\nO   0.37700   0.00000   0.29650   0.01722\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/P-3c1.cif",
    "content": "data_global\r\n_chemical_name_mineral 'Qaqarssukite-(Ce)'\r\nloop_\r\n_publ_author_name\r\n'Grice J D'\r\n'Gault R A'\r\n'Rowe R'\r\n'Johnsen O'\r\n_journal_name_full 'The Canadian Mineralogist'\r\n_journal_volume 44 \r\n_journal_year 2006\r\n_journal_page_first 1137\r\n_journal_page_last 1146\r\n_publ_section_title\r\n;\r\n Qaqarssukite-(Ce), a new barium-cerium fluorcarbonate mineral species from\r\n Qaqarssuk, Greenland\r\n;\r\n_database_code_amcsd 0006109\r\n_chemical_compound_source 'Qaqarssuk, Greenland'\r\n_chemical_formula_sum 'Ce Ba C2 O6 F'\r\n_chemical_formula_sum ''\r\n_cell_length_a 7.242\r\n_cell_length_b 7.242\r\n_cell_length_c 18.192\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 120\r\n_cell_volume 826.282\r\n_exptl_crystal_density_diffrn      5.022\r\n_symmetry_space_group_name_H-M 'P -3 c 1'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  '-y,-x,1/2+z'\r\n  'y,-x+y,-z'\r\n  '-x,-x+y,1/2-z'\r\n  '-x+y,-x,z'\r\n  '-x+y,y,1/2+z'\r\n  '-x,-y,-z'\r\n  'y,x,1/2-z'\r\n  '-y,x-y,z'\r\n  'x,x-y,1/2+z'\r\n  'x-y,x,-z'\r\n  'x-y,-y,1/2-z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\n_atom_site_U_iso_or_equiv\r\nCe   0.34830   0.00000   0.25000   0.01500\r\nBa1   0.00000   0.00000   0.00000   0.01300\r\nBa2   0.66667   0.33333   0.05610   0.01520\r\nC   0.13500  -0.21800   0.11300   0.01400\r\nO1   0.24200  -0.00500   0.11600   0.02100\r\nO2   0.07100  -0.31000   0.04900   0.02400\r\nO3   0.59000  -0.09400   0.17500   0.02300\r\nF1   0.66667   0.33333   0.70400   0.02000\r\nF2   0.00000   0.00000   0.25000   0.06000\r\nloop_\r\n_atom_site_aniso_label\r\n_atom_site_aniso_U_11\r\n_atom_site_aniso_U_22\r\n_atom_site_aniso_U_33\r\n_atom_site_aniso_U_12\r\n_atom_site_aniso_U_13\r\n_atom_site_aniso_U_23\r\nCe 0.01400 0.01400 0.01700 0.00700 -0.01200 -0.00200\r\nBa1 0.01000 0.01000 0.01900 0.00530 0.00000 0.00000\r\nBa2 0.01500 0.01500 0.01600 0.00740 0.00000 0.00000\r\nC 0.01000 0.01000 0.03000 0.00400 0.00100 0.00400\r\nO1 0.03000 0.01100 0.02100 0.00800 0.00800 0.00300\r\nO2 0.02000 0.02000 0.04000 0.01900 -0.00400 -0.00200\r\nO3 0.02000 0.02000 0.04000 0.01600 0.00900 0.01100\r\nF1 0.01800 0.01800 0.02000 0.00900 0.00000 0.00000\r\nF2 0.04000 0.04000 0.09000 0.02000 0.00000 0.00000\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/P-3m1.cif",
    "content": "data_global\r\n_chemical_name_mineral 'Melonite'\r\nloop_\r\n_publ_author_name\r\n'Peacock M A'\r\n'Thompson R M'\r\n_journal_name_full 'American Mineralogist'\r\n_journal_volume 31 \r\n_journal_year 1946\r\n_journal_page_first 204\r\n_journal_page_last 204\r\n_publ_section_title\r\n;\r\n On melonite from Quebec and the crystal structure of NiTe2\r\n;\r\n_database_code_amcsd 0000033\r\n_chemical_formula_sum 'Ni Te2'\r\n_chemical_formula_sum ''\r\n_cell_length_a 3.835\r\n_cell_length_b 3.835\r\n_cell_length_c 5.255\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 120\r\n_cell_volume 66.932\r\n_exptl_crystal_density_diffrn      7.787\r\n_symmetry_space_group_name_H-M 'P -3 m 1'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  '-y,-x,z'\r\n  'y,-x+y,-z'\r\n  '-x,-x+y,-z'\r\n  '-x+y,-x,z'\r\n  '-x+y,y,z'\r\n  '-x,-y,-z'\r\n  'y,x,-z'\r\n  '-y,x-y,z'\r\n  'x,x-y,z'\r\n  'x-y,x,-z'\r\n  'x-y,-y,-z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\nNi   0.00000   0.00000   0.00000\r\nTe   0.33333   0.66667   0.25000\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/P-4.cif",
    "content": "data_global\r\n_amcsd_formula_title 'Cl3 H4 Hg N'\r\nloop_\r\n_publ_author_name\r\n'Harmsen E'\r\n_journal_name_full 'Zeitschrift fur Kristallographie'\r\n_journal_volume 100 \r\n_journal_year 1938\r\n_journal_page_first 208\r\n_journal_page_last 211\r\n_publ_section_title\r\n;\r\n The crystal structure of N H4 Hg Cl3\r\n _cod_database_code 1010013\r\n;\r\n_database_code_amcsd 0016946\r\n_chemical_formula_sum 'Hg Cl3 N'\r\n_chemical_formula_sum ''\r\n_cell_length_a 4.19\r\n_cell_length_b 4.19\r\n_cell_length_c 7.94\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 90\r\n_cell_volume 139.395\r\n_exptl_crystal_density_diffrn      3.823\r\n_symmetry_space_group_name_H-M 'P -4'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  'y,-x,-z'\r\n  '-x,-y,z'\r\n  '-y,x,-z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\nHg1   0.00000   0.00000   0.00000\r\nCl1   0.50000   0.50000   0.00000\r\nCl2   0.00000   0.00000   0.29440\r\nN1   0.50000   0.50000   0.50000\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/P-42_1c.cif",
    "content": "data_global\r\n_chemical_name_mineral 'Sphaerobismoite'\r\nloop_\r\n_publ_author_name\r\n'Blower S K'\r\n'Greaves C'\r\n_journal_name_full 'Acta Crystallographica, Section C'\r\n_journal_volume 44 \r\n_journal_year 1988\r\n_journal_page_first 587\r\n_journal_page_last 589\r\n_publ_section_title\r\n;\r\n The structure of beta-Bi2O3 from powder neutron diffraction data\r\n;\r\n_database_code_amcsd 0010069\r\n_chemical_compound_source 'Synthetic'\r\n_chemical_formula_sum 'Bi2 O3'\r\n_chemical_formula_sum ''\r\n_cell_length_a 7.739\r\n_cell_length_b 7.739\r\n_cell_length_c 5.636\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 90\r\n_cell_volume 337.552\r\n_exptl_crystal_density_diffrn      9.169\r\n_symmetry_space_group_name_H-M 'P -4 21 c'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  '1/2-y,1/2-x,1/2+z'\r\n  'y,-x,-z'\r\n  '1/2-x,1/2+y,1/2-z'\r\n  '-x,-y,z'\r\n  '1/2+y,1/2+x,1/2+z'\r\n  '-y,x,-z'\r\n  '1/2+x,1/2-y,1/2-z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\n_atom_site_U_iso_or_equiv\r\nBi   0.01740   0.25450   0.23850   0.01406\r\nO1   0.29050   0.31250   0.02860   0.02166\r\nO2   0.00000   0.50000   0.39390   0.01608\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/P-42_1m.cif",
    "content": "data_global\r\n_chemical_name_mineral 'Umangite'\r\nloop_\r\n_publ_author_name\r\n'Milman V'\r\n_journal_name_full 'Acta Crystallographica, Section B'\r\n_journal_volume 58 \r\n_journal_year 2002\r\n_journal_page_first 437\r\n_journal_page_last 447\r\n_publ_section_title\r\n;\r\n Klockmannite, CuSe: structure, properties and phase stability from ab initio\r\n modeling\r\n;\r\n_database_code_amcsd 0009926\r\n_chemical_compound_source 'hypothetical structure calculated using DFT'\r\n_chemical_formula_sum 'Cu3 Se2'\r\n_chemical_formula_sum ''\r\n_cell_length_a 6.308\r\n_cell_length_b 6.308\r\n_cell_length_c 4.350\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 90\r\n_cell_volume 173.090\r\n_exptl_crystal_density_diffrn      6.688\r\n_symmetry_space_group_name_H-M 'P -4 21 m'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  '1/2-y,1/2-x,z'\r\n  'y,-x,-z'\r\n  '1/2-x,1/2+y,-z'\r\n  '-x,-y,z'\r\n  '1/2+y,1/2+x,z'\r\n  '-y,x,-z'\r\n  '1/2+x,1/2-y,-z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\nCu1   0.00000   0.00000   0.00000\r\nCu2   0.64300   0.85700   0.24750\r\nSe   0.26550   0.76550   0.25860\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/P-42c.cif",
    "content": "data_global\r\n_chemical_name_mineral 'Eskebornite'\r\nloop_\r\n_publ_author_name\r\n'Delgado J M'\r\n'Diaz de Delgado G'\r\n'Quintero M'\r\n'Woolley J C'\r\n_journal_name_full 'Materials Research Bulletin'\r\n_journal_volume 27 \r\n_journal_year 1992\r\n_journal_page_first 367\r\n_journal_page_last 373\r\n_publ_section_title\r\n;\r\n The crystal structure of copper iron selenide, CuFeSe2\r\n;\r\n_database_code_amcsd 0014365\r\n_chemical_compound_source 'Synthetic'\r\n_chemical_formula_sum 'Cu Fe Se2'\r\n_chemical_formula_sum ''\r\n_cell_length_a 5.530\r\n_cell_length_b 5.530\r\n_cell_length_c 11.049\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 90\r\n_cell_volume 337.888\r\n_exptl_crystal_density_diffrn      5.451\r\n_symmetry_space_group_name_H-M 'P -4 2 c'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  '-y,-x,1/2+z'\r\n  'y,-x,-z'\r\n  '-x,y,1/2-z'\r\n  '-x,-y,z'\r\n  'y,x,1/2+z'\r\n  '-y,x,-z'\r\n  'x,-y,1/2-z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\nCu1   0.00000   0.00000   0.00000\r\nCu2   0.00000   0.00000   0.25000\r\nFe   0.00000   0.50000   0.00010\r\nSe   0.24870   0.25970   0.12540\r\nloop_\r\n_atom_site_aniso_label\r\n_atom_site_aniso_U_11\r\n_atom_site_aniso_U_22\r\n_atom_site_aniso_U_33\r\n_atom_site_aniso_U_12\r\n_atom_site_aniso_U_13\r\n_atom_site_aniso_U_23\r\nCu1 0.00330 0.00330 0.00530 0.00000 0.00000 0.00000\r\nCu2 0.03260 0.01320 0.01390 0.00000 0.00000 0.00000\r\nFe 0.01180 0.00440 0.01460 -0.00460 0.00000 0.00000\r\nSe 0.00140 0.00850 0.00880 0.00000 0.00170 0.00080\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/P-42m.cif",
    "content": "data_global\r\n_amcsd_formula_title 'Ag2 Hg I4'\r\nloop_\r\n_publ_author_name\r\n'Ketelaar J'\r\n_journal_name_full 'Zeitschrift fur Kristallographie'\r\n_journal_volume 80 \r\n_journal_year 1931\r\n_journal_page_first 190\r\n_journal_page_last 203\r\n_publ_section_title\r\n;\r\n Strukturbestimmung der komplexen Quecksilber-Verbindungen Ag2 Hg I4\r\n und Cu2 Hg I4\r\n _cod_database_code 1010459\r\n;\r\n_database_code_amcsd 0017378\r\n_chemical_formula_sum 'Hg Ag2 I4'\r\n_chemical_formula_sum ''\r\n_cell_length_a 6.340\r\n_cell_length_b 6.340\r\n_cell_length_c 6.340\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 90\r\n_cell_volume 254.840\r\n_exptl_crystal_density_diffrn      6.020\r\n_symmetry_space_group_name_H-M 'P -4 2 m'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  '-y,-x,z'\r\n  'y,-x,-z'\r\n  '-x,y,-z'\r\n  '-x,-y,z'\r\n  'y,x,z'\r\n  '-y,x,-z'\r\n  'x,-y,-z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\nHg1   0.00000   0.00000   0.00000\r\nAg1   0.00000   0.50000   0.50000\r\nI1   0.27000   0.27000   0.22500\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/P-43m.cif",
    "content": "data_global\r\n_chemical_name_mineral 'Roaldite'\r\nloop_\r\n_publ_author_name\r\n'Bayliss P'\r\n_journal_name_full 'The Canadian Mineralogist'\r\n_journal_volume 28 \r\n_journal_year 1990\r\n_journal_page_first 751\r\n_journal_page_last 755\r\n_publ_section_title\r\n;\r\n Revised unit cell dimensions, space group,\r\n and chemical formula of some metallic minerals\r\n Note: Fe and N positions switched to match formula\r\n Note: cell edge taken from Handbook of Mineralogy\r\n;\r\n_database_code_amcsd 0005250\r\n_chemical_compound_source 'Synthetic'\r\n_chemical_formula_sum 'Fe4 N'\r\n_chemical_formula_sum ''\r\n_cell_length_a 3.79\r\n_cell_length_b 3.79\r\n_cell_length_c 3.79\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 90\r\n_cell_volume 54.440\r\n_exptl_crystal_density_diffrn      7.241\r\n_symmetry_space_group_name_H-M 'P -4 3 m'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  '-z,x,-y'\r\n  '-y,z,-x'\r\n  '-x,y,-z'\r\n  'x,-z,-y'\r\n  'z,-y,-x'\r\n  'y,-x,-z'\r\n  'x,z,y'\r\n  'z,y,x'\r\n  'y,x,z'\r\n  '-z,-x,y'\r\n  '-y,-z,x'\r\n  '-x,-y,z'\r\n  'z,-x,-y'\r\n  'y,-z,-x'\r\n  'x,-y,-z'\r\n  '-x,z,-y'\r\n  '-z,y,-x'\r\n  '-y,x,-z'\r\n  '-x,-z,y'\r\n  '-z,-y,x'\r\n  '-y,-x,z'\r\n  'z,x,y'\r\n  'y,z,x'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\nFe   0.26500   0.26500   0.26500\r\nN   0.00000   0.00000   0.00000\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/P-43n.cif",
    "content": "data_global\r\n_amcsd_formula_title 'Ag3 O4 P'\r\nloop_\r\n_publ_author_name\r\n'Wyckoff R'\r\n_journal_name_full 'Zeitschrift fur Kristallographie'\r\n_journal_volume 62 \r\n_journal_year 1925\r\n_journal_page_first 529\r\n_journal_page_last 539\r\n_publ_section_title\r\n;\r\n Die Kristallstruktur von Silberphosphat und Silberarsenat (Ag3 XO4).\r\n _cod_database_code 1010493\r\n;\r\n_database_code_amcsd 0017409\r\n_chemical_formula_sum 'Ag3 P'\r\n_chemical_formula_sum ''\r\n_cell_length_a 5.996\r\n_cell_length_b 5.996\r\n_cell_length_c 5.996\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 90\r\n_cell_volume 215.568\r\n_exptl_crystal_density_diffrn      5.463\r\n_symmetry_space_group_name_H-M 'P -4 3 n'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  '-z,x,-y'\r\n  '-y,z,-x'\r\n  '-x,y,-z'\r\n  '1/2+x,1/2-z,1/2-y'\r\n  '1/2+z,1/2-y,1/2-x'\r\n  '1/2+y,1/2-x,1/2-z'\r\n  '1/2+x,1/2+z,1/2+y'\r\n  '1/2+z,1/2+y,1/2+x'\r\n  '1/2+y,1/2+x,1/2+z'\r\n  '-z,-x,y'\r\n  '-y,-z,x'\r\n  '-x,-y,z'\r\n  'z,-x,-y'\r\n  'y,-z,-x'\r\n  'x,-y,-z'\r\n  '1/2-x,1/2+z,1/2-y'\r\n  '1/2-z,1/2+y,1/2-x'\r\n  '1/2-y,1/2+x,1/2-z'\r\n  '1/2-x,1/2-z,1/2+y'\r\n  '1/2-z,1/2-y,1/2+x'\r\n  '1/2-y,1/2-x,1/2+z'\r\n  'z,x,y'\r\n  'y,z,x'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\nAg1   0.00000   0.50000   0.25000\r\nP1   0.00000   0.00000   0.00000\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/P-4b2.cif",
    "content": "data_global\r\n_chemical_name_mineral 'Sphaerobismoite'\r\nloop_\r\n_publ_author_name\r\n'Gattow G'\r\n'Schutze D'\r\n_journal_name_full 'Zeitschrift fur Anorganische und Allgemeine Chemie'\r\n_journal_volume 328 \r\n_journal_year 1964\r\n_journal_page_first 44\r\n_journal_page_last 68\r\n_publ_section_title\r\n;\r\n Uber Wismutoxide. VI. Uber ein Wismut(III)-oxid mit hoherem sauerstoffgehalt\r\n (beta-modifikation)\r\n Note: transformed from C-42b\r\n;\r\n_database_code_amcsd 0015771\r\n_chemical_compound_source 'Synthetic'\r\n_chemical_formula_sum 'Bi2 O3'\r\n_chemical_formula_sum ''\r\n_cell_length_a 7.74\r\n_cell_length_b 7.74\r\n_cell_length_c 5.63\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 90\r\n_cell_volume 337.280\r\n_exptl_crystal_density_diffrn      9.176\r\n_symmetry_space_group_name_H-M 'P -4 b 2'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  '1/2+y,1/2+x,-z'\r\n  'y,-x,-z'\r\n  '1/2+x,1/2-y,z'\r\n  '-x,-y,z'\r\n  '1/2-y,1/2-x,-z'\r\n  '-y,x,-z'\r\n  '1/2-x,1/2+y,z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\n_atom_site_U_iso_or_equiv\r\nBi   0.02000   0.25000   0.25000   0.05699\r\nO1  -0.23000   0.27000   0.00000   0.05699\r\nO2  -0.23000   0.27000   0.50000   0.05699\r\nO3   0.00000   0.50000   0.00000   0.05699\r\nO4   0.00000   0.00000   0.50000   0.05699\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/P-4m2.cif",
    "content": "data_global\r\n_chemical_name_mineral 'Mawsonite'\r\nloop_\r\n_publ_author_name\r\n'Szymanski J T'\r\n_journal_name_full 'The Canadian Mineralogist'\r\n_journal_volume 14 \r\n_journal_year 1976\r\n_journal_page_first 529\r\n_journal_page_last 535\r\n_publ_section_title\r\n;\r\n The crystal structure of mawsonite, Cu6Fe2SnS8\r\n;\r\n_database_code_amcsd 0005128\r\n_chemical_formula_sum 'Sn Cu6 Fe2 S8'\r\n_chemical_formula_sum ''\r\n_cell_length_a 7.603\r\n_cell_length_b 7.603\r\n_cell_length_c 5.358\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 90\r\n_cell_volume 309.722\r\n_exptl_crystal_density_diffrn      4.655\r\n_symmetry_space_group_name_H-M 'P -4 m 2'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  'y,x,-z'\r\n  'y,-x,-z'\r\n  'x,-y,z'\r\n  '-x,-y,z'\r\n  '-y,-x,-z'\r\n  '-y,x,-z'\r\n  '-x,y,z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\nSn   0.00000   0.00000   0.00000\r\nCu1   0.50000   0.00000   0.00020\r\nCu2   0.24630   0.24630   0.50000\r\nFe1   0.50000   0.50000   0.00000\r\nFe2   0.50000   0.50000   0.50000\r\nS1   0.26150   0.00000   0.25380\r\nS2   0.25970   0.50000   0.24900\r\nloop_\r\n_atom_site_aniso_label\r\n_atom_site_aniso_U_11\r\n_atom_site_aniso_U_22\r\n_atom_site_aniso_U_33\r\n_atom_site_aniso_U_12\r\n_atom_site_aniso_U_13\r\n_atom_site_aniso_U_23\r\nSn 0.00840 0.00840 0.00910 0.00000 0.00000 0.00000\r\nCu1 0.01650 0.02470 0.01860 0.00000 0.00000 0.00000\r\nCu2 0.01650 0.01650 0.01820 -0.00270 0.00120 -0.00120\r\nFe1 0.01140 0.01140 0.00510 0.00000 0.00000 0.00000\r\nFe2 0.00830 0.00830 0.00540 0.00000 0.00000 0.00000\r\nS1 0.00950 0.01060 0.01150 0.00000 -0.00260 0.00000\r\nS2 0.00920 0.01320 0.00840 0.00000 -0.00180 0.00000\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/P-4n2.cif",
    "content": "data_global\r\n_amcsd_formula_title 'O6 Sb2 Zn'\r\nloop_\r\n_publ_author_name\r\n'Clark G'\r\n'Reynolds D'\r\n_journal_name_full 'Zeitschrift fur Kristallographie'\r\n_journal_volume 98 \r\n_journal_year 1938\r\n_journal_page_first 185\r\n_journal_page_last 190\r\n_publ_section_title\r\n;\r\n The crystal structure of zinc meta-antimonate Zn (Sb O3)2\r\n _cod_database_code 1010617\r\n;\r\n_database_code_amcsd 0017499\r\n_chemical_formula_sum 'Zn Sb2'\r\n_chemical_formula_sum ''\r\n_cell_length_a 6.585\r\n_cell_length_b 6.585\r\n_cell_length_c 6.585\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 90\r\n_cell_volume 285.540\r\n_exptl_crystal_density_diffrn      3.593\r\n_symmetry_space_group_name_H-M 'P -4 n 2'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  '1/2+y,1/2+x,1/2-z'\r\n  'y,-x,-z'\r\n  '1/2+x,1/2-y,1/2+z'\r\n  '-x,-y,z'\r\n  '1/2-y,1/2-x,1/2-z'\r\n  '-y,x,-z'\r\n  '1/2-x,1/2+y,1/2+z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\nZn1   0.00000   0.00000   0.00000\r\nSb1   0.34000   0.16000   0.25000\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/P-6.cif",
    "content": "data_global\r\n_amcsd_formula_title 'Ge I2'\r\nloop_\r\n_publ_author_name\r\n'Powell H'\r\n'Brewer F'\r\n_journal_name_full 'Journal of the Chemical Society'\r\n_journal_volume 1938 \r\n_journal_year 1938\r\n_journal_page_first 197\r\n_journal_page_last 198\r\n_publ_section_title\r\n;\r\n The Structure of Germanous Iodide\r\n _cod_database_code 1010319\r\n;\r\n_database_code_amcsd 0017245\r\n_chemical_formula_sum 'Ge I2'\r\n_chemical_formula_sum ''\r\n_cell_length_a 4.13\r\n_cell_length_b 4.13\r\n_cell_length_c 6.69\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 120\r\n_cell_volume 98.823\r\n_exptl_crystal_density_diffrn      5.485\r\n_symmetry_space_group_name_H-M 'P -6'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  '-x+y,-x,-z'\r\n  '-y,x-y,z'\r\n  'x,y,-z'\r\n  '-x+y,-x,z'\r\n  '-y,x-y,-z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\nGe1   0.00000   0.00000   0.00000\r\nI1   0.33333   0.66667   0.25000\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/P-62c.cif",
    "content": "data_global\r\n_chemical_name_mineral 'Troilite'\r\nloop_\r\n_publ_author_name\r\n'Skala R'\r\n'Cisarova I'\r\n'Drabek M'\r\n_journal_name_full 'American Mineralogist'\r\n_journal_volume 91 \r\n_journal_year 2006\r\n_journal_page_first 917\r\n_journal_page_last 921\r\n_publ_section_title\r\n;\r\n Inversion twinning in troilite\r\n Sample: Etter\r\n;\r\n_database_code_amcsd 0004158\r\n_chemical_formula_sum 'Fe S'\r\n_chemical_formula_sum ''\r\n_cell_length_a 5.9650\r\n_cell_length_b 5.9650\r\n_cell_length_c 11.7570\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 120\r\n_cell_volume 362.283\r\n_exptl_crystal_density_diffrn      4.835\r\n_symmetry_space_group_name_H-M 'P -6 2 c'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  '-x,-x+y,1/2+z'\r\n  '-x+y,-x,1/2-z'\r\n  'y,x,-z'\r\n  '-y,x-y,z'\r\n  'x-y,-y,1/2+z'\r\n  'x,y,1/2-z'\r\n  '-x,-x+y,-z'\r\n  '-x+y,-x,z'\r\n  'y,x,1/2+z'\r\n  '-y,x-y,1/2-z'\r\n  'x-y,-y,-z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\n_atom_site_U_iso_or_equiv\r\nFe1   0.37910   0.05490   0.12303   0.01520\r\nS1   0.00000   0.00000   0.00000   0.01360\r\nS2   0.33333   0.66667   0.01980   0.01250\r\nS3   0.66530  -0.00350   0.25000   0.01300\r\nloop_\r\n_atom_site_aniso_label\r\n_atom_site_aniso_U_11\r\n_atom_site_aniso_U_22\r\n_atom_site_aniso_U_33\r\n_atom_site_aniso_U_12\r\n_atom_site_aniso_U_13\r\n_atom_site_aniso_U_23\r\nFe1 0.01830 0.01550 0.01300 0.00930 -0.00030 -0.00090\r\nS1 0.01150 0.01150 0.01780 0.00575 0.00000 0.00000\r\nS2 0.01140 0.01140 0.01470 0.00570 0.00000 0.00000\r\nS3 0.01290 0.01100 0.01490 0.00590 0.00000 0.00000\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/P-62m.cif",
    "content": "data_global\r\n_chemical_name_mineral 'Monipite'\r\nloop_\r\n_publ_author_name\r\n'Guerin R'\r\n'Sergent M'\r\n_journal_name_full 'Acta Crystallographica, Section B'\r\n_journal_volume 33 \r\n_journal_year 1977\r\n_journal_page_first 2820\r\n_journal_page_last 2823\r\n_publ_section_title\r\n;\r\n Structure cristalline de NiMoP\r\n Localite: synthetic\r\n;\r\n_database_code_amcsd 0009604\r\n_chemical_formula_sum 'Ni Mo P'\r\n_chemical_formula_sum ''\r\n_cell_length_a 5.861\r\n_cell_length_b 5.861\r\n_cell_length_c 3.704\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 120\r\n_cell_volume 110.191\r\n_exptl_crystal_density_diffrn      8.391\r\n_symmetry_space_group_name_H-M 'P -6 2 m'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  '-x,-x+y,z'\r\n  '-x+y,-x,-z'\r\n  'y,x,-z'\r\n  '-y,x-y,z'\r\n  'x-y,-y,z'\r\n  'x,y,-z'\r\n  '-x,-x+y,-z'\r\n  '-x+y,-x,z'\r\n  'y,x,z'\r\n  '-y,x-y,-z'\r\n  'x-y,-y,-z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\nNi   0.25034   0.00000   0.00000\r\nMo   0.58647   0.00000   0.50000\r\nP1   0.33333   0.66667   0.00000\r\nP2   0.00000   0.00000   0.50000\r\nloop_\r\n_atom_site_aniso_label\r\n_atom_site_aniso_U_11\r\n_atom_site_aniso_U_22\r\n_atom_site_aniso_U_33\r\n_atom_site_aniso_U_12\r\n_atom_site_aniso_U_13\r\n_atom_site_aniso_U_23\r\nNi 0.00313 0.00379 0.00327 0.00183 0.00000 0.00000\r\nMo 0.00248 0.00287 0.00104 0.00144 0.00000 0.00000\r\nP1 0.00287 0.00287 0.00327 0.00144 0.00000 0.00000\r\nP2 0.00405 0.00405 0.00229 0.00196 0.00000 0.00000\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/P-6c2.cif",
    "content": "data_global\r\n_chemical_name_mineral 'Benitoite'\r\nloop_\r\n_publ_author_name\r\n'Hejny C'\r\n'Miletich R'\r\n'Jasser A'\r\n'Schouwink P'\r\n'Crichton W'\r\n'Kahlenberg V'\r\n_journal_name_full 'American Mineralogist'\r\n_journal_volume 97 \r\n_journal_year 2012\r\n_journal_page_first 1749\r\n_journal_page_last 1763\r\n_publ_section_title\r\n;\r\n Second-order P6c2-P31c transition and structural crystallography of\r\n the cyclosilicate benitoite, BaTiSi3O9, at high pressure\r\n Note: P = 0.0001 GPa\r\n;\r\n_database_code_amcsd 0019506\r\n_chemical_compound_source 'San Benito, California, USA'\r\n_chemical_formula_sum 'Ba Ti Si3 O9'\r\n_chemical_formula_sum ''\r\n_cell_length_a 6.6430\r\n_cell_length_b 6.6430\r\n_cell_length_c 9.7660\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 120\r\n_cell_volume 373.229\r\n_exptl_crystal_density_diffrn      3.679\r\n_symmetry_space_group_name_H-M 'P -6 c 2'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  'x,x-y,-z'\r\n  '-x+y,-x,1/2-z'\r\n  '-y,-x,1/2+z'\r\n  '-y,x-y,z'\r\n  '-x+y,y,-z'\r\n  'x,y,1/2-z'\r\n  'x,x-y,1/2+z'\r\n  '-x+y,-x,z'\r\n  '-y,-x,-z'\r\n  '-y,x-y,1/2-z'\r\n  '-x+y,y,1/2+z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\n_atom_site_U_iso_or_equiv\r\nBa   0.66667   0.33333   0.00000   0.00740\r\nTi   0.33333   0.66667   0.00000   0.00320\r\nSi   0.07050   0.78170   0.25000   0.00140\r\nO1   0.80900   0.74500   0.25000   0.00240\r\nO2   0.08620   0.65780   0.38770   0.00390\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/P-6m2.cif",
    "content": "data_global\r\n_chemical_name_mineral 'Qusongite'\r\nloop_\r\n_publ_author_name\r\n'Fang Q'\r\n'Bai W'\r\n'Yang J'\r\n'Xu X'\r\n'Li G'\r\n'Shi N'\r\n'Xiong M'\r\n'Rong H'\r\n_journal_name_full 'American Mineralogist'\r\n_journal_volume 94 \r\n_journal_year 2009\r\n_journal_page_first 387\r\n_journal_page_last 290\r\n_publ_section_title\r\n;\r\n Qusong (WC): A new mineral\r\n;\r\n_database_code_amcsd 0004855\r\n_chemical_compound_source 'Luobusa ophiolite, Qusong County, Tibet, China'\r\n_chemical_formula_sum 'W C'\r\n_chemical_formula_sum ''\r\n_cell_length_a 2.902\r\n_cell_length_b 2.902\r\n_cell_length_c 2.831\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 120\r\n_cell_volume 20.647\r\n_exptl_crystal_density_diffrn     15.752\r\n_symmetry_space_group_name_H-M 'P -6 m 2'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  'x,x-y,-z'\r\n  '-x+y,-x,-z'\r\n  '-y,-x,z'\r\n  '-y,x-y,z'\r\n  '-x+y,y,-z'\r\n  'x,y,-z'\r\n  'x,x-y,z'\r\n  '-x+y,-x,z'\r\n  '-y,-x,-z'\r\n  '-y,x-y,-z'\r\n  '-x+y,y,z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\nW   0.00000   0.00000   0.00000\r\nC   0.66667   0.33333   0.50000\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/P23.cif",
    "content": "data_global\r\n_amcsd_formula_title 'I4 Sn'\r\nloop_\r\n_publ_author_name\r\n'Ott H'\r\n_journal_name_full 'Zeitschrift fur Kristallographie'\r\n_journal_volume 63 \r\n_journal_year 1926\r\n_journal_page_first 222\r\n_journal_page_last 230\r\n_publ_section_title\r\n;\r\n Die Strukturen von Mn O, Mn S, Ag F, Ni S, Sn I4, Sr Cl2, Ba F2,\r\n Praezisionsmessungen einiger Alkalihalogenide.\r\n _cod_database_code 1010043\r\n;\r\n_database_code_amcsd 0016979\r\n_chemical_formula_sum 'Sn I4'\r\n_chemical_formula_sum ''\r\n_cell_length_a 6.12\r\n_cell_length_b 6.12\r\n_cell_length_c 6.12\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 90\r\n_cell_volume 229.221\r\n_exptl_crystal_density_diffrn      4.537\r\n_symmetry_space_group_name_H-M 'P 2 3'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  '-z,-x,y'\r\n  '-z,x,-y'\r\n  'z,-x,-y'\r\n  'z,x,y'\r\n  'y,-z,-x'\r\n  '-y,-z,x'\r\n  '-y,z,-x'\r\n  'y,z,x'\r\n  '-x,y,-z'\r\n  'x,-y,-z'\r\n  '-x,-y,z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\nSn1   0.00000   0.00000   0.00000\r\nI1   0.25000   0.25000   0.25000\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/P2=a.cif",
    "content": "data_global\r\n_chemical_name_mineral 'Formanite-(Y)'\r\nloop_\r\n_publ_author_name\r\n'Wolten G M'\r\n_journal_name_full 'Acta Crystallographica'\r\n_journal_volume 23 \r\n_journal_year 1967\r\n_journal_page_first 939\r\n_journal_page_last 944\r\n_publ_section_title\r\n;\r\n The structure of the M'-phase of YTaO4, a third fergusonite polymorph\r\n;\r\n_database_code_amcsd 0009316\r\n_chemical_compound_source 'Synthetic'\r\n_chemical_formula_sum 'Y Ta O4'\r\n_chemical_formula_sum ''\r\n_cell_length_a 5.292\r\n_cell_length_b 5.451\r\n_cell_length_c 5.11\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 96.44\r\n_cell_angle_gamma 90\r\n_cell_volume 146.476\r\n_exptl_crystal_density_diffrn      7.569\r\n_symmetry_space_group_name_H-M 'P 1 2/a 1'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  '1/2-x,y,-z'\r\n  '1/2+x,-y,z'\r\n  '-x,-y,-z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\n_atom_site_U_iso_or_equiv\r\nY   0.25000   0.76940   0.00000 ?\r\nTa   0.25000   0.30560   0.50000 ?\r\nO1   0.49000   0.46200   0.26600   0.00747\r\nO2   0.08100   0.06900   0.25800   0.03952\r\nloop_\r\n_atom_site_aniso_label\r\n_atom_site_aniso_U_11\r\n_atom_site_aniso_U_22\r\n_atom_site_aniso_U_33\r\n_atom_site_aniso_U_12\r\n_atom_site_aniso_U_13\r\n_atom_site_aniso_U_23\r\nY 0.00028 0.00497 0.00640 0.00000 -0.00135 0.00000\r\nTa 0.00336 0.00707 0.00888 0.00000 0.00866 0.00000\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/P2=b.cif",
    "content": "data_global\r\n_amcsd_formula_title 'Cd O4 W'\r\nloop_\r\n_publ_author_name\r\n'Daturi M'\r\n'Busca G'\r\n'Borel M'\r\n'Leclaire A'\r\n'Piaggio P'\r\n_journal_name_full 'Journal of Physical Chemistry'\r\n_journal_volume 101 \r\n_journal_year 1997\r\n_journal_page_first 4358\r\n_journal_page_last 4369\r\n_publ_section_title\r\n;\r\n Vibrational and XRD study of the system Cd W O4 - Cd Mo O4\r\n _cod_database_code 1001799\r\n;\r\n_database_code_amcsd 0013149\r\n_chemical_formula_sum 'W Cd O4'\r\n_chemical_formula_sum ''\r\n_cell_length_a 5.026\r\n_cell_length_b 5.078\r\n_cell_length_c 5.867\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 91.47\r\n_cell_volume 149.688\r\n_exptl_crystal_density_diffrn      7.993\r\n_symmetry_space_group_name_H-M 'P 1 1 2/b'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  '-x,1/2-y,z'\r\n  'x,1/2+y,-z'\r\n  '-x,-y,-z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\nW1   0.00000   0.25000   0.17840\r\nCd1   0.50000   0.75000   0.30200\r\nO1   0.18900   0.45400   0.90100\r\nO2   0.25000   0.39300   0.36000\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/P2=c.cif",
    "content": "data_global\r\n_amcsd_formula_title 'Mg O4 W'\r\nloop_\r\n_publ_author_name\r\n'Broch E'\r\n_journal_name_full 'Skrifter utgitt av det Norske Videnskaps-Akademi i Oslo'\r\n_journal_volume 1 \r\n_journal_year 1929\r\n_journal_page_first 1\r\n_journal_page_last 618\r\n_publ_section_title\r\n;\r\n Untersuchungen ueber Kristallstrukturen des Wolframittypus und des Scheelittypus\r\n _cod_database_code 1010642\r\n;\r\n_database_code_amcsd 0017524\r\n_chemical_formula_sum 'W Mg'\r\n_chemical_formula_sum ''\r\n_cell_length_a 4.68\r\n_cell_length_b 5.66\r\n_cell_length_c 4.92\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 89.67\r\n_cell_angle_gamma 90\r\n_cell_volume 130.323\r\n_exptl_crystal_density_diffrn      5.305\r\n_symmetry_space_group_name_H-M 'P 1 2/c 1'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  'x,-y,1/2+z'\r\n  '-x,y,1/2-z'\r\n  '-x,-y,-z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\nW1   0.00000   0.18200   0.25000\r\nMg1   0.50000   0.68000   0.25000\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/P2=m.cif",
    "content": "data_global\r\n_chemical_name_mineral 'Muthmannite'\r\nloop_\r\n_publ_author_name\r\n'Bindi L'\r\n'Cipriani C'\r\n_journal_name_full 'American Mineralogist'\r\n_journal_volume 89 \r\n_journal_year 2004\r\n_journal_page_first 1505\r\n_journal_page_last 1509\r\n_publ_section_title\r\n;\r\n Ordered distribution of Au and Ag in the crystal structure of muthmannite,\r\n AuAgTe2, a rare telluride from Sacarimb, Western Romania\r\n;\r\n_database_code_amcsd 0003649\r\n_chemical_formula_sum 'Au Ag Te2'\r\n_chemical_formula_sum ''\r\n_cell_length_a 5.124\r\n_cell_length_b 4.419\r\n_cell_length_c 7.437\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 89.96\r\n_cell_angle_gamma 90\r\n_cell_volume 168.396\r\n_exptl_crystal_density_diffrn     11.045\r\n_symmetry_space_group_name_H-M 'P 1 2/m 1'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  'x,-y,z'\r\n  '-x,y,-z'\r\n  '-x,-y,-z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\n_atom_site_U_iso_or_equiv\r\nAu1   0.00000   0.00000   0.00000   0.02330\r\nAu2   0.00000   0.00000   0.50000   0.02650\r\nAg1   0.50000   0.50000   0.00000   0.03030\r\nAg2   0.50000   0.50000   0.50000   0.03090\r\nTe1   0.62770   0.00000   0.25090   0.02700\r\nTe2   0.10890   0.50000   0.25820   0.02980\r\nloop_\r\n_atom_site_aniso_label\r\n_atom_site_aniso_U_11\r\n_atom_site_aniso_U_22\r\n_atom_site_aniso_U_33\r\n_atom_site_aniso_U_12\r\n_atom_site_aniso_U_13\r\n_atom_site_aniso_U_23\r\nAu1 0.02250 0.02410 0.02340 0.00000 -0.00030 0.00000\r\nAu2 0.02560 0.02710 0.02670 0.00000 0.00010 0.00000\r\nAg1 0.02810 0.03210 0.03080 0.00000 -0.00020 0.00000\r\nAg2 0.02910 0.03240 0.03120 0.00000 -0.00070 0.00000\r\nTe1 0.02550 0.02840 0.02720 0.00000 -0.00030 0.00000\r\nTe2 0.02820 0.03110 0.02990 0.00000 -0.00020 0.00000\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/P2_1.cif",
    "content": "data_global\r\n_amcsd_formula_title 'AgCl'\r\nloop_\r\n_publ_author_name\r\n'Hull S'\r\n'Keen D A'\r\n_journal_name_full 'Physical Review'\r\n_journal_volume B59 \r\n_journal_year 1999\r\n_journal_page_first 750\r\n_journal_page_last 761\r\n_publ_section_title\r\n;\r\n Pressure-induced phase transitions in AgCl, AgBr, and AgI\r\n Sample: P = 6.6 GPa, Phase II\r\n;\r\n_database_code_amcsd 0015203\r\n_chemical_formula_sum 'Ag Cl'\r\n_chemical_formula_sum ''\r\n_cell_length_a 3.587\r\n_cell_length_b 3.992\r\n_cell_length_c 5.307\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 98.40\r\n_cell_angle_gamma 90\r\n_cell_volume 75.177\r\n_exptl_crystal_density_diffrn      6.331\r\n_symmetry_space_group_name_H-M 'P 1 21 1'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  '-x,1/2+y,-z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\n_atom_site_U_iso_or_equiv\r\nAg   0.18400   0.25000   0.22000   0.09372\r\nCl   0.30000   0.25000   0.71300   0.04179\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/P2_122_1.cif",
    "content": "data_global\r\n_chemical_name_mineral 'Moeloite'\r\nloop_\r\n_publ_author_name\r\n'Orlandi P'\r\n'Meerschaut A'\r\n'Palvadeau P'\r\n'Merlino S'\r\n_journal_name_full 'European Journal of Mineralogy'\r\n_journal_volume 14 \r\n_journal_year 2002\r\n_journal_page_first 599\r\n_journal_page_last 606\r\n_publ_section_title\r\n;\r\n Lead-antimony sulfosalts from Tuscany (Italy). V. Definition and crystal\r\n structure of moeloite, Pb6Sb6S14(S3), a new mineral from the Ceragiola\r\n marble quarry\r\n;\r\n_database_code_amcsd 0006941\r\n_chemical_compound_source 'Tuscany, Italy'\r\n_chemical_formula_sum 'Pb6 Sb6 S17'\r\n_chemical_formula_sum ''\r\n_cell_length_a 15.328\r\n_cell_length_b 4.0400\r\n_cell_length_c 23.054\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 90\r\n_cell_volume 1427.622\r\n_exptl_crystal_density_diffrn      5.860\r\n_symmetry_space_group_name_H-M 'P 21 2 21'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  '1/2+x,-y,1/2-z'\r\n  '1/2-x,-y,1/2+z'\r\n  '-x,y,-z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\n_atom_site_U_iso_or_equiv\r\nPb1   0.08070   0.00000   0.12610   0.02900\r\nPb2   0.18200  -0.00120   0.29500   0.02200\r\nPb3   0.30280  -0.00100   0.46170   0.02100\r\nSb1   0.17510   0.51000   0.60370   0.06300\r\nSb2   0.06450   0.51100   0.43040   0.07000\r\nSb3  -0.06050   0.54000   0.25630   0.05400\r\nS1   0.09070   0.49600   0.22200   0.01500\r\nS2   0.23060  -0.02800   0.66820   0.03100\r\nS3   0.20650   0.52300   0.38490   0.01500\r\nS4   0.31220   0.50600   0.55280   0.01500\r\nS5  -0.04560   0.48900   0.06990   0.01700\r\nS6   0.12160   0.00600   0.50660   0.03000\r\nS7   0.01730   0.00900   0.35100   0.02500\r\nS8  -0.10150  -0.03400   0.18850   0.03200\r\nS9   0.00000   0.23800   0.00000   0.02300\r\nloop_\r\n_atom_site_aniso_label\r\n_atom_site_aniso_U_11\r\n_atom_site_aniso_U_22\r\n_atom_site_aniso_U_33\r\n_atom_site_aniso_U_12\r\n_atom_site_aniso_U_13\r\n_atom_site_aniso_U_23\r\nPb1 0.05100 0.00800 0.02800 -0.00100 -0.00300 0.00500\r\nPb2 0.03200 0.01100 0.02400 0.00200 0.00100 0.00000\r\nPb3 0.02400 0.01000 0.02900 0.00400 -0.00400 0.00100\r\nSb1 0.01800 0.13100 0.03900 -0.01700 0.00800 -0.02000\r\nSb2 0.01400 0.16800 0.02800 0.01900 0.00100 -0.04200\r\nSb3 0.02500 0.07600 0.06100 0.05300 0.01500 0.00900\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/P2_12_12.cif",
    "content": "data_global\r\n_chemical_name_mineral 'Beryllium'\r\nloop_\r\n_publ_author_name\r\n'Vijayakumar V'\r\n'Godwal B K'\r\n'Vohra Y K'\r\n'Sikka S K'\r\n'Chidambaram R'\r\n_journal_name_full 'Journal of Physics F: Metal Physics'\r\n_journal_volume 14 \r\n_journal_year 1984\r\n_journal_page_first L65\r\n_journal_page_last L68\r\n_publ_section_title\r\n;\r\n On the high-pressure phase transition in beryllium metal\r\n Sample: at P = 28.3 GPa\r\n Note: phase II\r\n;\r\n_database_code_amcsd 0013191\r\n_chemical_compound_source 'Synthetic'\r\n_chemical_formula_sum 'Be'\r\n_chemical_formula_sum ''\r\n_cell_length_a 2.168\r\n_cell_length_b 3.755\r\n_cell_length_c 3.416\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 90\r\n_cell_volume 27.809\r\n_exptl_crystal_density_diffrn      2.153\r\n_symmetry_space_group_name_H-M 'P 21 21 2'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  '1/2-x,1/2+y,-z'\r\n  '1/2+x,1/2-y,-z'\r\n  '-x,-y,z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\nBe   0.67000   0.82000   0.70000\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/P2_12_12_1.cif",
    "content": "data_global\r\n_chemical_name_mineral 'Naumannite'\r\nloop_\r\n_publ_author_name\r\n'Wiegers G A'\r\n_journal_name_full 'American Mineralogist'\r\n_journal_volume 56 \r\n_journal_year 1971\r\n_journal_page_first 1882\r\n_journal_page_last 1888\r\n_publ_section_title\r\n;\r\n The crystal structure of the low-temperature form of silver selenide\r\n;\r\n_database_code_amcsd 0000262\r\n_chemical_formula_sum 'Ag2 Se'\r\n_chemical_formula_sum ''\r\n_cell_length_a 4.333\r\n_cell_length_b 7.062\r\n_cell_length_c 7.764\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 90\r\n_cell_volume 237.576\r\n_exptl_crystal_density_diffrn      8.239\r\n_symmetry_space_group_name_H-M 'P 21 21 21'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  '1/2-x,1/2+y,1/2-z'\r\n  '1/2+x,-y,-z'\r\n  '-x,1/2-y,1/2+z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\n_atom_site_U_iso_or_equiv\r\nAg1   0.10700   0.36900   0.45600   0.00950\r\nAg2   0.72800   0.02900   0.36100   0.00950\r\nSe   0.35800   0.23500   0.14900   0.00950\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/P2_13.cif",
    "content": "data_global\r\n_amcsd_formula_title 'H3 N'\r\nloop_\r\n_publ_author_name\r\n'Mark H'\r\n'Pohland E'\r\n_journal_name_full 'Zeitschrift fur Kristallographie'\r\n_journal_volume 61 \r\n_journal_year 1925\r\n_journal_page_first 532\r\n_journal_page_last 537\r\n_publ_section_title\r\n;\r\n Das Gitter des Ammoniaks.\r\n _cod_database_code 1010490\r\n;\r\n_database_code_amcsd 0017406\r\n_chemical_formula_sum 'N'\r\n_chemical_formula_sum ''\r\n_cell_length_a 5.193\r\n_cell_length_b 5.193\r\n_cell_length_c 5.193\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 90\r\n_cell_volume 140.041\r\n_exptl_crystal_density_diffrn      0.664\r\n_symmetry_space_group_name_H-M 'P 21 3'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  '1/2-z,-x,1/2+y'\r\n  '-z,1/2+x,1/2-y'\r\n  '1/2+z,1/2-x,-y'\r\n  'z,x,y'\r\n  '1/2+y,1/2-z,-x'\r\n  '1/2-y,-z,1/2+x'\r\n  '-y,1/2+z,1/2-x'\r\n  'y,z,x'\r\n  '-x,1/2+y,1/2-z'\r\n  '1/2+x,1/2-y,-z'\r\n  '1/2-x,-y,1/2+z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\nN1   0.22000   0.22000   0.22000\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/P2_1ca.cif",
    "content": "data_global\r\n_chemical_name_mineral 'Pyroxene-ideal'\r\nloop_\r\n_publ_author_name\r\n'Thompson R M'\r\n'Downs R T'\r\n_journal_name_full 'American Mineralogist'\r\n_journal_volume 88 \r\n_journal_year 2003\r\n_journal_page_first 653\r\n_journal_page_last 666\r\n_publ_section_title\r\n;\r\n Model pyroxenes I: Ideal pyroxene topologies\r\n Pyroxene #7 based on stacking sequence ABABACAC\r\n Note: Atoms Mg, Si, and O are assigned to atomic positions just for convenience.\r\n;\r\n_database_code_amcsd 0003003\r\n_chemical_formula_sum 'Si Mg O3'\r\n_chemical_formula_sum ''\r\n_cell_length_a 13.063945\r\n_cell_length_b 6\r\n_cell_length_c 3.4641016\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 90\r\n_cell_volume 271.529\r\n_exptl_crystal_density_diffrn      9.823\r\n_symmetry_space_group_name_H-M 'P 21 c a'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  'x,-y,1/2+z'\r\n  '1/2+x,y,1/2-z'\r\n  '1/2+x,-y,-z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\nSiA   0.96875   0.91667   0.91667\r\nSiB   0.90625   0.41667   0.75000\r\nMg1a   0.31250   0.08333   0.41667\r\nMg2a   0.31250   0.75000   0.41667\r\nSiC   0.15625   0.08333   0.75000\r\nSiD   0.21875   0.41667   0.08333\r\nMg1b   0.06250   0.41667   0.41667\r\nMg2b   0.06250   0.25000   0.91667\r\nO1A   0.87500   0.91667   0.91667\r\nO2A   0.00000   0.75000   0.75000\r\nO3A   0.00000   0.08333   0.75000\r\nO1B   0.00000   0.41667   0.75000\r\nO2B   0.87500   0.58333   0.91667\r\nO3B   0.87500   0.75000   0.41667\r\nO1C   0.25000   0.08333   0.75000\r\nO2C   0.12500   0.75000   0.08333\r\nO3C   0.12500   0.08333   0.08333\r\nO1D   0.12500   0.41667   0.08333\r\nO2D   0.25000   0.25000   0.25000\r\nO3D   0.25000   0.41667   0.75000\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/P2_1cn.cif",
    "content": "data_global\r\n_amcsd_formula_title 'Cl4 Rb2 Zn'\r\nloop_\r\n_publ_author_name\r\n'Hedoux A'\r\n'Grebille D'\r\n'Jaud J'\r\n'Godefroy G'\r\n_journal_name_full 'Acta Crystallographica, Section B'\r\n_journal_volume 45 \r\n_journal_year 1989\r\n_journal_page_first 370\r\n_journal_page_last 378\r\n_publ_section_title\r\n;\r\n Structural study of the incommensurate and lock-in phases of Rb2ZnCl4\r\n _cod_database_code 1001389\r\n;\r\n_database_code_amcsd 0009830\r\n_chemical_formula_sum 'Rb2 Zn Cl4'\r\n_chemical_formula_sum ''\r\n_cell_length_a 7.230\r\n_cell_length_b 12.608\r\n_cell_length_c 9.199\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 90\r\n_cell_volume 838.543\r\n_exptl_crystal_density_diffrn      2.995\r\n_symmetry_space_group_name_H-M 'P 21 c n'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  'x,1/2-y,1/2+z'\r\n  '1/2+x,1/2+y,1/2-z'\r\n  '1/2+x,-y,-z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\nRb1   0.25000   0.40670   0.62980\r\nRb2   0.25000   0.81960   0.48620\r\nZn1   0.25000   0.42170   0.22400\r\nCl1   0.25000   0.41890  -0.01750\r\nCl2   0.25000   0.58510   0.32040\r\nCl3   0.00100   0.34100   0.31390\r\nCl4   0.49900   0.34100   0.31390\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/P2_1nm.cif",
    "content": "data_global\r\n_amcsd_formula_title 'AlOOH'\r\nloop_\r\n_publ_author_name\r\n'Suzuki A'\r\n'Ohtani E'\r\n'Kamada T'\r\n_journal_name_full 'Physics and Chemistry of Minerals'\r\n_journal_volume 27 \r\n_journal_year 2000\r\n_journal_page_first 689\r\n_journal_page_last 693\r\n_publ_section_title\r\n;\r\n A new hydrous phase delta-AlOOH synthesized at 21 GPa and 1000 C\r\n;\r\n_database_code_amcsd 0008490\r\n_chemical_formula_sum 'Al O2 H'\r\n_chemical_formula_sum ''\r\n_cell_length_a 4.7134\r\n_cell_length_b 4.2241\r\n_cell_length_c 2.83252\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 90\r\n_cell_volume 56.395\r\n_exptl_crystal_density_diffrn      3.533\r\n_symmetry_space_group_name_H-M 'P 21 n m'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  '1/2+x,-y,1/2+z'\r\n  'x,y,-z'\r\n  '1/2+x,-y,1/2-z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\n_atom_site_U_iso_or_equiv\r\nAl   0.00000   0.27400   0.00000   0.00507\r\nO   0.33600   0.49100   0.00000   0.00507\r\nO-H   0.64100   0.00700   0.00000   0.00507\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/P312.cif",
    "content": "data_global\r\n_chemical_name_mineral 'Siderazot'\r\nloop_\r\n_publ_author_name\r\n'Hendricks S B'\r\n'Kosting P R'\r\n_journal_name_full 'Zeitschrift fur Kristallographie'\r\n_journal_volume 74 \r\n_journal_year 1930\r\n_journal_page_first 511\r\n_journal_page_last 533\r\n_publ_section_title\r\n;\r\n The crystal structure of Fe2P, Fe2N, Fe3N and FeB\r\n;\r\n_database_code_amcsd 0010502\r\n_chemical_compound_source 'Synthetic'\r\n_chemical_formula_sum 'Fe3 N'\r\n_chemical_formula_sum ''\r\n_cell_length_a 4.668\r\n_cell_length_b 4.668\r\n_cell_length_c 4.362\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 120\r\n_cell_volume 82.315\r\n_exptl_crystal_density_diffrn      7.325\r\n_symmetry_space_group_name_H-M 'P 3 1 2'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  '-x+y,y,-z'\r\n  '-y,x-y,z'\r\n  '-y,-x,-z'\r\n  '-x+y,-x,z'\r\n  'x,x-y,-z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\nFe   0.00000   0.33333   0.25000\r\nN1   0.00000   0.00000   0.00000\r\nN2   0.33333   0.66667   0.50000\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/P31c.cif",
    "content": "data_global\r\n_chemical_name_mineral 'Kalsilite'\r\nloop_\r\n_publ_author_name\r\n'Cellai D'\r\n'Bonazzi P'\r\n'Carpenter M A'\r\n_journal_name_full 'American Mineralogist'\r\n_journal_volume 82 \r\n_journal_year 1997\r\n_journal_page_first 276\r\n_journal_page_last 279\r\n_publ_section_title\r\n;\r\n Natural kalsilite, KAlSiO4, with P31c symmetry: Crystal structure and twinning\r\n;\r\n_database_code_amcsd 0001874\r\n_chemical_formula_sum 'K Al Si O4'\r\n_chemical_formula_sum ''\r\n_cell_length_a 5.157\r\n_cell_length_b 5.157\r\n_cell_length_c 8.706\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 120\r\n_cell_volume 200.513\r\n_exptl_crystal_density_diffrn      2.620\r\n_symmetry_space_group_name_H-M 'P 3 1 c'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  'x-y,-y,1/2+z'\r\n  '-y,x-y,z'\r\n  'y,x,1/2+z'\r\n  '-x+y,-x,z'\r\n  '-x,-x+y,1/2+z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\nK   0.00000   0.00000   0.25000\r\nAl1   0.33333   0.66667   0.05940\r\nSi2   0.33333   0.66667   0.44160\r\nO1   0.61600   0.01100   0.00000\r\nO2   0.33333   0.66667   0.26000\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/P31m.cif",
    "content": "data_global\r\n_chemical_name_mineral 'Lizardite-1T'\r\nloop_\r\n_publ_author_name\r\n'Guggenheim S'\r\n'Zhan W'\r\n_journal_name_full 'The Canadian Mineralogist'\r\n_journal_volume 36 \r\n_journal_year 1998\r\n_journal_page_first 1587\r\n_journal_page_last 1594\r\n_publ_section_title\r\n;\r\n Effect of temperature on the structures of lizardite-1T and lizardite-2H1\r\n Sample: T = 360 C\r\n;\r\n_database_code_amcsd 0005584\r\n_chemical_formula_sum 'Mg3 Si2 O9'\r\n_chemical_formula_sum ''\r\n_cell_length_a 5.333\r\n_cell_length_b 5.333\r\n_cell_length_c 7.324\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 120\r\n_cell_volume 180.394\r\n_exptl_crystal_density_diffrn      2.514\r\n_symmetry_space_group_name_H-M 'P 3 1 m'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  'x-y,-y,z'\r\n  '-y,x-y,z'\r\n  'y,x,z'\r\n  '-x+y,-x,z'\r\n  '-x,-x+y,z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\nMg   0.33270   0.00000   0.45600\r\nSi   0.33333   0.66667   0.07700\r\nO1   0.33333   0.66667   0.29180\r\nO2   0.50100   0.00000  -0.00700\r\nO3   0.66200   0.00000   0.59200\r\nO4   0.00000   0.00000   0.30300\r\nloop_\r\n_atom_site_aniso_label\r\n_atom_site_aniso_U_11\r\n_atom_site_aniso_U_22\r\n_atom_site_aniso_U_33\r\n_atom_site_aniso_U_12\r\n_atom_site_aniso_U_13\r\n_atom_site_aniso_U_23\r\nMg 0.00800 0.00700 0.02900 0.00350 -0.00100 0.00000\r\nSi 0.00890 0.00890 0.03400 0.00445 0.00000 0.00000\r\nO1 0.01000 0.01000 0.02900 0.00500 0.00000 0.00000\r\nO2 0.01900 0.00900 0.03300 0.00450 -0.00100 0.00000\r\nO3 0.01800 0.01500 0.02400 0.00750 0.00000 0.00000\r\nO4 0.02000 0.02000 0.02600 0.01000 0.00000 0.00000\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/P321.cif",
    "content": "data_global\r\n_amcsd_formula_title 'La2 O3'\r\nloop_\r\n_publ_author_name\r\n'Zachariasen W'\r\n_journal_name_full 'Zeitschrift fur Physikalische Chemie'\r\n_journal_volume 123 \r\n_journal_year 1926\r\n_journal_page_first 134\r\n_journal_page_last 150\r\n_publ_section_title\r\n;\r\n Die Kristallstruktur der A-Modifikation von den Sesquioxyden der\r\n seltenen Erdmetalle. ( La2 O3, Ce2 O3, Pr2 O3, Nd2 O3 )\r\n _cod_database_code 1010278\r\n;\r\n_database_code_amcsd 0017204\r\n_chemical_formula_sum 'La2 O3'\r\n_chemical_formula_sum ''\r\n_cell_length_a 3.93\r\n_cell_length_b 3.93\r\n_cell_length_c 6.12\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 120\r\n_cell_volume 81.859\r\n_exptl_crystal_density_diffrn      6.609\r\n_symmetry_space_group_name_H-M 'P 3 2 1'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  'y,x,-z'\r\n  '-y,x-y,z'\r\n  '-x,-x+y,-z'\r\n  '-x+y,-x,z'\r\n  'x-y,-y,-z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\nLa1   0.33333   0.66667   0.25000\r\nO1   0.25000   0.25000   0.00000\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/P3_121.cif",
    "content": "data_global\r\n_chemical_name_mineral 'Tellurium'\r\nloop_\r\n_publ_author_name\r\n'Adenis C'\r\n'Langer V'\r\n'Lindqvist O'\r\n_journal_name_full 'Acta Crystallographica, Section C'\r\n_journal_volume 45 \r\n_journal_year 1989\r\n_journal_page_first 941\r\n_journal_page_last 942\r\n_publ_section_title\r\n;\r\n Reinvestigation of the structure of tellurium\r\n;\r\n_database_code_amcsd 0020696\r\n_chemical_compound_source 'Synthetic'\r\n_chemical_formula_sum 'Te'\r\n_chemical_formula_sum ''\r\n_cell_length_a 4.456\r\n_cell_length_b 4.456\r\n_cell_length_c 5.921\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 120\r\n_cell_volume 101.816\r\n_exptl_crystal_density_diffrn      6.243\r\n_symmetry_space_group_name_H-M 'P 31 2 1'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  'y,x,-z'\r\n  '-y,x-y,1/3+z'\r\n  '-x,-x+y,1/3-z'\r\n  '-x+y,-x,2/3+z'\r\n  'x-y,-y,2/3-z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\nTe   0.73640   0.00000   0.33333\r\nloop_\r\n_atom_site_aniso_label\r\n_atom_site_aniso_U_11\r\n_atom_site_aniso_U_22\r\n_atom_site_aniso_U_33\r\n_atom_site_aniso_U_12\r\n_atom_site_aniso_U_13\r\n_atom_site_aniso_U_23\r\nTe 0.01930 0.01790 0.01130 0.00895 0.00100 0.00200\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/P3_221.cif",
    "content": "data_global\r\n_chemical_name_mineral 'Selenium'\r\nloop_\r\n_publ_author_name\r\n'Wyckoff R W G'\r\n_journal_name_full 'Crystal Structures'\r\n_journal_volume 1 \r\n_journal_year 1963\r\n_journal_page_first 7\r\n_journal_page_last 83\r\n_publ_section_title\r\n;\r\n Second edition. Interscience Publishers, New York, New York\r\n;\r\n_database_code_amcsd 0011257\r\n_chemical_formula_sum 'Se'\r\n_chemical_formula_sum ''\r\n_cell_length_a 4.35517\r\n_cell_length_b 4.35517\r\n_cell_length_c 4.94945\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 120\r\n_cell_volume 81.301\r\n_exptl_crystal_density_diffrn      4.838\r\n_symmetry_space_group_name_H-M 'P 32 2 1'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  'y,x,-z'\r\n  '-y,x-y,2/3+z'\r\n  '-x,-x+y,2/3-z'\r\n  '-x+y,-x,1/3+z'\r\n  'x-y,-y,1/3-z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\nSe   0.21700   0.00000   0.16667\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/P4.cif",
    "content": "data_global\r\n_amcsd_formula_title 'N S Tl'\r\nloop_\r\n_publ_author_name\r\n'Strada M'\r\n_journal_name_full 'Gazzetta Chimica Italiana'\r\n_journal_volume 64 \r\n_journal_year 1934\r\n_journal_page_first 400\r\n_journal_page_last 409\r\n_publ_section_title\r\n;\r\n Ricerche sulla struttura dei pseudo-alogeni e dei loro composti. - I.\r\n Tiocianato di tallio\r\n _cod_database_code 1010348\r\n;\r\n_database_code_amcsd 0017274\r\n_chemical_formula_sum 'Tl C'\r\n_chemical_formula_sum ''\r\n_cell_length_a 4.766\r\n_cell_length_b 4.766\r\n_cell_length_c 3.78\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 90\r\n_cell_volume 85.862\r\n_exptl_crystal_density_diffrn      4.185\r\n_symmetry_space_group_name_H-M 'P 4'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  '-y,x,z'\r\n  '-x,-y,z'\r\n  'y,-x,z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\nTl1   0.00000   0.00000   0.00000\r\nC1   0.50000   0.50000   0.29000\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/P42_12.cif",
    "content": "data_global\r\n_chemical_name_mineral 'Neptunium-beta'\r\nloop_\r\n_publ_author_name\r\n'Wyckoff R W G'\r\n_journal_name_full 'Crystal Structures'\r\n_journal_volume 1 \r\n_journal_year 1963\r\n_journal_page_first 7\r\n_journal_page_last 83\r\n_publ_section_title\r\n;\r\n Second edition. Interscience Publishers, New York, New York\r\n Sample is stable between 551 K and 843 K\r\n Note: T = 586 K\r\n;\r\n_database_code_amcsd 0011264\r\n_chemical_formula_sum 'Np'\r\n_chemical_formula_sum ''\r\n_cell_length_a 4.897\r\n_cell_length_b 4.897\r\n_cell_length_c 3.388\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 90\r\n_cell_volume 81.246\r\n_exptl_crystal_density_diffrn     19.376\r\n_symmetry_space_group_name_H-M 'P 4 21 2'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  'y,x,-z'\r\n  '1/2-y,1/2+x,z'\r\n  '1/2-x,1/2+y,-z'\r\n  '-x,-y,z'\r\n  '-y,-x,-z'\r\n  '1/2+y,1/2-x,z'\r\n  '1/2+x,1/2-y,-z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\nNp1   0.00000   0.00000   0.00000\r\nNp2   0.00000   0.50000  -0.37500\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/P4=mbm.cif",
    "content": "data_global\r\n_amcsd_formula_title 'V2Ga5'\r\nloop_\r\n_publ_author_name\r\n'Reddy J M'\r\n'Storm A R'\r\n'Knox K'\r\n_journal_name_full 'Zeitschrift fur Kristallographie'\r\n_journal_volume 121 \r\n_journal_year 1965\r\n_journal_page_first 441\r\n_journal_page_last 448\r\n_publ_section_title\r\n;\r\n The crystal structure of V2Ga5\r\n;\r\n_database_code_amcsd 0010625\r\n_chemical_formula_sum 'V2 Ga5'\r\n_chemical_formula_sum ''\r\n_cell_length_a 8.968\r\n_cell_length_b 8.968\r\n_cell_length_c 2.693\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 90\r\n_cell_volume 216.585\r\n_exptl_crystal_density_diffrn      6.908\r\n_symmetry_space_group_name_H-M 'P 4/m b m'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  '1/2-y,1/2-x,z'\r\n  '1/2+y,1/2+x,-z'\r\n  'y,-x,-z'\r\n  '-y,x,z'\r\n  '1/2+x,1/2-y,z'\r\n  '1/2-x,1/2+y,-z'\r\n  'x,y,-z'\r\n  '-x,-y,z'\r\n  '1/2+y,1/2+x,z'\r\n  '1/2-y,1/2-x,-z'\r\n  '-y,x,-z'\r\n  'y,-x,z'\r\n  '1/2-x,1/2+y,z'\r\n  '1/2+x,1/2-y,-z'\r\n  '-x,-y,-z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\n_atom_site_U_iso_or_equiv\r\nV   0.31970   0.81970   0.50000  -0.00215\r\nGa1   0.29368   0.56030   0.00000  -0.00279\r\nGa2   0.50000   0.00000   0.00000  -0.00076\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/P4=mmm.cif",
    "content": "data_global\r\n_chemical_name_mineral 'Tetrataenite'\r\nloop_\r\n_publ_author_name\r\n'Clarke R S'\r\n'Scott E R D'\r\n_journal_name_full 'American Mineralogist'\r\n_journal_volume 65 \r\n_journal_year 1980\r\n_journal_page_first 624\r\n_journal_page_last 630\r\n_publ_section_title\r\n;\r\n Tetrataenite - ordered FeNi, a new mineral in meteorites\r\n;\r\n_database_code_amcsd 0000787\r\n_chemical_compound_source 'Cape Town iron meteorite'\r\n_chemical_formula_sum 'Fe Ni'\r\n_chemical_formula_sum ''\r\n_cell_length_a 2.533\r\n_cell_length_b 2.533\r\n_cell_length_c 3.582\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 90\r\n_cell_volume 22.982\r\n_exptl_crystal_density_diffrn      8.276\r\n_symmetry_space_group_name_H-M 'P 4/m m m'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  '-y,-x,z'\r\n  'y,x,-z'\r\n  'y,-x,-z'\r\n  '-y,x,z'\r\n  'x,-y,z'\r\n  '-x,y,-z'\r\n  'x,y,-z'\r\n  '-x,-y,z'\r\n  'y,x,z'\r\n  '-y,-x,-z'\r\n  '-y,x,-z'\r\n  'y,-x,z'\r\n  '-x,y,z'\r\n  'x,-y,-z'\r\n  '-x,-y,-z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\nFe   0.00000   0.00000   0.00000\r\nNi   0.50000   0.50000   0.50000\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/P4=mnc.cif",
    "content": "data_global\r\n_chemical_name_mineral 'Chiolite'\r\nloop_\r\n_publ_author_name\r\n'Jacoboni C'\r\n'Leble A'\r\n'Rousseau J J'\r\n_journal_name_full 'Journal of Solid State Chemistry'\r\n_journal_volume 36 \r\n_journal_year 1981\r\n_journal_page_first 297\r\n_journal_page_last 304\r\n_publ_section_title\r\n;\r\n Determination precise de la structure de la chiolite Na5Al3F14\r\n et etude par R.P.E. de Na5Al3F14:Cr3+\r\n;\r\n_database_code_amcsd 0013413\r\n_chemical_compound_source 'Synthetic'\r\n_chemical_formula_sum 'Na5 Al3 F14'\r\n_chemical_formula_sum ''\r\n_cell_length_a 7.0138\r\n_cell_length_b 7.0138\r\n_cell_length_c 10.402\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 90\r\n_cell_volume 511.710\r\n_exptl_crystal_density_diffrn      2.998\r\n_symmetry_space_group_name_H-M 'P 4/m n c'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  '1/2-y,1/2-x,1/2+z'\r\n  '1/2+y,1/2+x,1/2-z'\r\n  'y,-x,-z'\r\n  '-y,x,z'\r\n  '1/2+x,1/2-y,1/2+z'\r\n  '1/2-x,1/2+y,1/2-z'\r\n  'x,y,-z'\r\n  '-x,-y,z'\r\n  '1/2+y,1/2+x,1/2+z'\r\n  '1/2-y,1/2-x,1/2-z'\r\n  '-y,x,-z'\r\n  'y,-x,z'\r\n  '1/2-x,1/2+y,1/2+z'\r\n  '1/2+x,1/2-y,1/2-z'\r\n  '-x,-y,-z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\n_atom_site_U_iso_or_equiv\r\nNa1   0.00000   0.00000   0.50000   0.02780\r\nNa2   0.27680   0.77680   0.25000   0.02039\r\nAl1   0.00000   0.00000   0.00000   0.00686\r\nAl2   0.00000   0.50000   0.00000   0.00712\r\nF1   0.00000   0.00000   0.17110   0.02229\r\nF2   0.06420   0.24770   0.00000   0.01873\r\nF3   0.17940   0.53640   0.11980   0.01755\r\nloop_\r\n_atom_site_aniso_label\r\n_atom_site_aniso_U_11\r\n_atom_site_aniso_U_22\r\n_atom_site_aniso_U_33\r\n_atom_site_aniso_U_12\r\n_atom_site_aniso_U_13\r\n_atom_site_aniso_U_23\r\nNa1 0.02410 0.02410 0.03530 0.00000 0.00000 0.00000\r\nNa2 0.02103 0.02103 0.01913 -0.00805 0.00617 -0.00617\r\nAl1 0.00541 0.00541 0.00981 0.00000 0.00000 0.00000\r\nAl2 0.00815 0.00493 0.00839 -0.00040 0.00000 0.00000\r\nF1 0.02794 0.02794 0.01113 0.00000 0.00000 0.00000\r\nF2 0.01269 0.00638 0.03711 -0.00035 0.00000 0.00000\r\nF3 0.02068 0.01488 0.01716 -0.00282 -0.00872 0.00018\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/P4=n.cif",
    "content": "data_global\r\n_amcsd_formula_title 'Cl5 P'\r\nloop_\r\n_publ_author_name\r\n'Powell H'\r\n'Clark D'\r\n'Wells A'\r\n_journal_name_full 'Nature'\r\n_journal_volume 145 \r\n_journal_year 1940\r\n_journal_page_first 149\r\n_journal_page_last 149\r\n_publ_section_title\r\n;\r\n Crystal Structure of Phosphorus Pentachloride\r\n _cod_database_code 1010411\r\n;\r\n_database_code_amcsd 0017336\r\n_chemical_formula_sum 'P'\r\n_chemical_formula_sum ''\r\n_cell_length_a 9.2\r\n_cell_length_b 9.2\r\n_cell_length_c 7.4\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 90\r\n_cell_volume 626.336\r\n_exptl_crystal_density_diffrn      0.328\r\n_symmetry_space_group_name_H-M 'P 4/n'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  'y,-x,-z'\r\n  '1/2-y,1/2+x,z'\r\n  '1/2+x,1/2+y,-z'\r\n  '-x,-y,z'\r\n  '-y,x,-z'\r\n  '1/2+y,1/2-x,z'\r\n  '1/2-x,1/2-y,-z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\nP1   0.00000   0.00000   0.00000\r\nP2   0.00000   0.50000   0.62500\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/P4=ncc.cif",
    "content": "data_global\r\n_chemical_name_mineral 'Kusachiite'\r\nloop_\r\n_publ_author_name\r\n'Boivin J'\r\n'Trehoux J'\r\n'Thomas D'\r\n_journal_name_full 'Bulletin de la Societe Francaise de Mineralogie et de Cristallographie'\r\n_journal_volume 99 \r\n_journal_year 1976\r\n_journal_page_first 193\r\n_journal_page_last 196\r\n_publ_section_title\r\n;\r\n Etude structurale de CuBi2O4\r\n _cod_database_code 1004051\r\n;\r\n_database_code_amcsd 0012142\r\n_chemical_formula_sum 'Bi2 Cu O4'\r\n_chemical_formula_sum ''\r\n_cell_length_a 8.510\r\n_cell_length_b 8.510\r\n_cell_length_c 5.814\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 90\r\n_cell_volume 421.050\r\n_exptl_crystal_density_diffrn      8.605\r\n_symmetry_space_group_name_H-M 'P 4/n c c'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  '1/2-y,1/2-x,1/2+z'\r\n  'y,x,1/2-z'\r\n  'y,-x,-z'\r\n  '1/2-y,1/2+x,z'\r\n  'x,-y,1/2+z'\r\n  '1/2-x,1/2+y,1/2-z'\r\n  '1/2+x,1/2+y,-z'\r\n  '-x,-y,z'\r\n  '1/2+y,1/2+x,1/2+z'\r\n  '-y,-x,1/2-z'\r\n  '-y,x,-z'\r\n  '1/2+y,1/2-x,z'\r\n  '-x,y,1/2+z'\r\n  '1/2+x,1/2-y,1/2-z'\r\n  '1/2-x,1/2-y,-z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\nBi   0.16850   0.16850   0.25000\r\nCu   0.00000   0.50000   0.08000\r\nO   0.29500   0.11400  -0.09700\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/P4=nmm.cif",
    "content": "data_global\r\n_chemical_name_mineral 'Romarchite'\r\nloop_\r\n_publ_author_name\r\n'Pannetier J'\r\n'Denes G'\r\n_journal_name_full 'Acta Crystallographica, Section B'\r\n_journal_volume 36 \r\n_journal_year 1980\r\n_journal_page_first 2763\r\n_journal_page_last 2765\r\n_publ_section_title\r\n;\r\n Tin(II) oxide: structure refinement and thermal expansion\r\n;\r\n_database_code_amcsd 0009724\r\n_chemical_formula_sum 'Sn O'\r\n_chemical_formula_sum ''\r\n_cell_length_a 3.8029\r\n_cell_length_b 3.8029\r\n_cell_length_c 4.8382\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 90\r\n_cell_volume 69.970\r\n_exptl_crystal_density_diffrn      6.394\r\n_symmetry_space_group_name_H-M 'P 4/n m m'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  '1/2-y,1/2-x,z'\r\n  'y,x,-z'\r\n  'y,-x,-z'\r\n  '1/2-y,1/2+x,z'\r\n  'x,-y,z'\r\n  '1/2-x,1/2+y,-z'\r\n  '1/2+x,1/2+y,-z'\r\n  '-x,-y,z'\r\n  '1/2+y,1/2+x,z'\r\n  '-y,-x,-z'\r\n  '-y,x,-z'\r\n  '1/2+y,1/2-x,z'\r\n  '-x,y,z'\r\n  '1/2+x,1/2-y,-z'\r\n  '1/2-x,1/2-y,-z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\n_atom_site_U_iso_or_equiv\r\nSn   0.50000   0.00000   0.23830   0.00722\r\nO   0.00000   0.00000   0.00000   0.01254\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/P4=nnc.cif",
    "content": "data_global\r\n_amcsd_formula_title 'Ag Co H6 N6 O8'\r\nloop_\r\n_publ_author_name\r\n'Wells A'\r\n_journal_name_full 'Zeitschrift fur Kristallographie'\r\n_journal_volume 95 \r\n_journal_year 1936\r\n_journal_page_first 74\r\n_journal_page_last 82\r\n_publ_section_title\r\n;\r\n The crystal structure of silver diammino-tetranitro-cobaltiate\r\n (Ag(Co(NH3)2(NO2)4))\r\n _cod_database_code 1010270\r\n;\r\n_database_code_amcsd 0017196\r\n_chemical_formula_sum 'Ag Co N6 O8'\r\n_chemical_formula_sum ''\r\n_cell_length_a 6.97\r\n_cell_length_b 6.97\r\n_cell_length_c 10.43\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 90\r\n_cell_volume 506.699\r\n_exptl_crystal_density_diffrn      2.483\r\n_symmetry_space_group_name_H-M 'P 4/n n c'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  '1/2-y,1/2-x,1/2+z'\r\n  'y,x,-z'\r\n  '1/2+y,1/2-x,1/2-z'\r\n  '-y,x,z'\r\n  '1/2+x,1/2-y,1/2+z'\r\n  '-x,y,-z'\r\n  '1/2+x,1/2+y,1/2-z'\r\n  '-x,-y,z'\r\n  '1/2+y,1/2+x,1/2+z'\r\n  '-y,-x,-z'\r\n  '1/2-y,1/2+x,1/2-z'\r\n  'y,-x,z'\r\n  '1/2-x,1/2+y,1/2+z'\r\n  'x,-y,-z'\r\n  '1/2-x,1/2-y,1/2-z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\nAg1   0.00000   0.00000   0.00000\r\nCo1   0.50000   0.50000   0.00000\r\nN1   0.00000   0.00000   0.22000\r\nN2   0.19500   0.19500   0.00000\r\nO1   0.31000   0.22000   0.09000\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/P4_122.cif",
    "content": "data_global\r\n_amcsd_formula_title 'MgFe2O4'\r\nloop_\r\n_publ_author_name\r\n'Palin E J'\r\n'Harrison R J'\r\n_journal_name_full 'American Mineralogist'\r\n_journal_volume 92 \r\n_journal_year 2007\r\n_journal_page_first 1334\r\n_journal_page_last 1345\r\n_publ_section_title\r\n;\r\n A Monte Carlo investigation of the thermodynamics of cation ordering in\r\n 2-3 spinels\r\n Note: theoretical atom sites using GULP\r\n;\r\n_database_code_amcsd 0004415\r\n_chemical_formula_sum 'Mg Fe2 O4'\r\n_chemical_formula_sum ''\r\n_cell_length_a 5.8309\r\n_cell_length_b 5.8309\r\n_cell_length_c 8.2218\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 90\r\n_cell_volume 279.536\r\n_exptl_crystal_density_diffrn      4.752\r\n_symmetry_space_group_name_H-M 'P 41 2 2'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  'y,x,3/4-z'\r\n  '-y,x,1/4+z'\r\n  '-x,y,-z'\r\n  '-x,-y,1/2+z'\r\n  '-y,-x,1/4-z'\r\n  'y,-x,3/4+z'\r\n  'x,-y,1/2-z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\nMg   0.25756   0.50000   0.75000\r\nFe1   0.74250   0.00000   0.25000\r\nFe2   0.25317   0.25317   0.37500\r\nO1   0.25971   0.96702   0.50693\r\nO2   0.73983   0.47624   0.02034\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/P4_132.cif",
    "content": "data_global\r\n_chemical_name_mineral 'Manganese-beta'\r\nloop_\r\n_publ_author_name\r\n'Shoemaker C B'\r\n'Shoemaker D P'\r\n'Hopkins T E'\r\n'Yindepit S'\r\n_journal_name_full 'Acta Crystallographica, Section B'\r\n_journal_volume 34 \r\n_journal_year 1978\r\n_journal_page_first 3573\r\n_journal_page_last 3576\r\n_publ_section_title\r\n;\r\n Refinement of the structure of beta-manganese and of related phase in the\r\n Mn-Ni-Si system\r\n;\r\n_database_code_amcsd 0009651\r\n_chemical_compound_source 'Synthetic'\r\n_chemical_formula_sum 'Mn5'\r\n_chemical_formula_sum ''\r\n_cell_length_a 6.315\r\n_cell_length_b 6.315\r\n_cell_length_c 6.315\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 90\r\n_cell_volume 251.837\r\n_exptl_crystal_density_diffrn      7.245\r\n_symmetry_space_group_name_H-M 'P 41 3 2'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  '-z,1/2+x,1/2-y'\r\n  '-y,1/2+z,1/2-x'\r\n  '-x,1/2+y,1/2-z'\r\n  '1/4-x,3/4+z,1/4+y'\r\n  '1/4-z,3/4+y,1/4+x'\r\n  '1/4-y,3/4+x,1/4+z'\r\n  '3/4-x,3/4-z,3/4-y'\r\n  '3/4-z,3/4-y,3/4-x'\r\n  '3/4-y,3/4-x,3/4-z'\r\n  '1/2-z,-x,1/2+y'\r\n  '1/2-y,-z,1/2+x'\r\n  '1/2-x,-y,1/2+z'\r\n  '1/2+z,1/2-x,-y'\r\n  '1/2+y,1/2-z,-x'\r\n  '1/2+x,1/2-y,-z'\r\n  '1/4+x,1/4-z,3/4+y'\r\n  '1/4+z,1/4-y,3/4+x'\r\n  '1/4+y,1/4-x,3/4+z'\r\n  '3/4+x,1/4+z,1/4-y'\r\n  '3/4+z,1/4+y,1/4-x'\r\n  '3/4+y,1/4+x,1/4-z'\r\n  'z,x,y'\r\n  'y,z,x'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\nMn1   0.06361   0.06361   0.06361\r\nMn2   0.12500   0.20224   0.45224\r\nloop_\r\n_atom_site_aniso_label\r\n_atom_site_aniso_U_11\r\n_atom_site_aniso_U_22\r\n_atom_site_aniso_U_33\r\n_atom_site_aniso_U_12\r\n_atom_site_aniso_U_13\r\n_atom_site_aniso_U_23\r\nMn1 0.00723 0.00723 0.00723 0.00000 0.00000 0.00000\r\nMn2 0.02608 0.00970 0.00970 0.00541 -0.00541 -0.00265\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/P4_232.cif",
    "content": "data_global\r\n_amcsd_formula_title 'As2 Mg3'\r\nloop_\r\n_publ_author_name\r\n'Natta G'\r\n'Passerini L'\r\n_journal_name_full 'Gazzetta Chimica Italiana'\r\n_journal_volume 58 \r\n_journal_year 1928\r\n_journal_page_first 541\r\n_journal_page_last 550\r\n_publ_section_title\r\n;\r\n Sugli arseniuri di magnesio e di zinco\r\n _cod_database_code 1010124\r\n;\r\n_database_code_amcsd 0017054\r\n_chemical_formula_sum 'Mg3 As2'\r\n_chemical_formula_sum ''\r\n_cell_length_a 6.1\r\n_cell_length_b 6.1\r\n_cell_length_c 6.1\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 90\r\n_cell_volume 226.981\r\n_exptl_crystal_density_diffrn      3.259\r\n_symmetry_space_group_name_H-M 'P 42 3 2'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  '-z,x,-y'\r\n  '-y,z,-x'\r\n  '-x,y,-z'\r\n  '1/2-x,1/2+z,1/2+y'\r\n  '1/2-z,1/2+y,1/2+x'\r\n  '1/2-y,1/2+x,1/2+z'\r\n  '1/2-x,1/2-z,1/2-y'\r\n  '1/2-z,1/2-y,1/2-x'\r\n  '1/2-y,1/2-x,1/2-z'\r\n  '-z,-x,y'\r\n  '-y,-z,x'\r\n  '-x,-y,z'\r\n  'z,-x,-y'\r\n  'y,-z,-x'\r\n  'x,-y,-z'\r\n  '1/2+x,1/2-z,1/2+y'\r\n  '1/2+z,1/2-y,1/2+x'\r\n  '1/2+y,1/2-x,1/2+z'\r\n  '1/2+x,1/2+z,1/2-y'\r\n  '1/2+z,1/2+y,1/2-x'\r\n  '1/2+y,1/2+x,1/2-z'\r\n  'z,x,y'\r\n  'y,z,x'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\nMg1   0.00000   0.50000   0.50000\r\nAs1   0.25000   0.25000   0.25000\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/P4_2=m.cif",
    "content": "data_global\r\n_chemical_name_mineral 'Vysotskite'\r\nloop_\r\n_publ_author_name\r\n'Brese N E'\r\n'Squattrito P J'\r\n'Ibers J A'\r\n_journal_name_full 'Acta Crystallographica, Section C'\r\n_journal_volume 41 \r\n_journal_year 1985\r\n_journal_page_first 1829\r\n_journal_page_last 1830\r\n_publ_section_title\r\n;\r\n Reinvestigation of the structure of PdS\r\n;\r\n_database_code_amcsd 0010019\r\n_chemical_compound_source 'Synthetic'\r\n_chemical_formula_sum 'Pd S'\r\n_chemical_formula_sum ''\r\n_cell_length_a 6.429\r\n_cell_length_b 6.429\r\n_cell_length_c 6.611\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 90\r\n_cell_volume 273.246\r\n_exptl_crystal_density_diffrn      6.733\r\n_symmetry_space_group_name_H-M 'P 42/m'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  'y,-x,1/2-z'\r\n  '-y,x,1/2+z'\r\n  'x,y,-z'\r\n  '-x,-y,z'\r\n  '-y,x,1/2-z'\r\n  'y,-x,1/2+z'\r\n  '-x,-y,-z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\n_atom_site_U_iso_or_equiv\r\nPd1   0.00000   0.00000   0.25000   0.00443\r\nPd2   0.50000   0.00000   0.00000   0.00418\r\nPd3   0.25713   0.46779   0.00000   0.00418\r\nS   0.30754   0.19361   0.22904   0.00469\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/P4_2=mbc.cif",
    "content": "data_global\r\n_chemical_name_mineral 'Downeyite'\r\nloop_\r\n_publ_author_name\r\n'Stahl K'\r\n'Legros J P'\r\n'Galy J'\r\n_journal_name_full 'Zeitschrift fur Kristallographie'\r\n_journal_volume 202 \r\n_journal_year 1992\r\n_journal_page_first 99\r\n_journal_page_last 107\r\n_publ_section_title\r\n;\r\n The crystal structure of SeO2 at 139 and 286 K\r\n Note: T = 139 K\r\n;\r\n_database_code_amcsd 0011027\r\n_chemical_compound_source 'Synthetic'\r\n_chemical_formula_sum 'Se O2'\r\n_chemical_formula_sum ''\r\n_cell_length_a 8.3218\r\n_cell_length_b 8.3218\r\n_cell_length_c 5.0541\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 90\r\n_cell_volume 350.008\r\n_exptl_crystal_density_diffrn      4.211\r\n_symmetry_space_group_name_H-M 'P 42/m b c'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  '1/2-y,1/2-x,1/2+z'\r\n  '1/2+y,1/2+x,1/2-z'\r\n  'y,-x,1/2-z'\r\n  '-y,x,1/2+z'\r\n  '1/2+x,1/2-y,z'\r\n  '1/2-x,1/2+y,-z'\r\n  'x,y,-z'\r\n  '-x,-y,z'\r\n  '1/2+y,1/2+x,1/2+z'\r\n  '1/2-y,1/2-x,1/2-z'\r\n  '-y,x,1/2-z'\r\n  'y,-x,1/2+z'\r\n  '1/2-x,1/2+y,z'\r\n  '1/2+x,1/2-y,-z'\r\n  '-x,-y,-z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\n_atom_site_U_iso_or_equiv\r\nSe   0.13396   0.20929   0.00000   0.00570\r\nO1   0.13752   0.36248   0.25000   0.00937\r\nO2  -0.05789   0.17358   0.00000   0.01140\r\nloop_\r\n_atom_site_aniso_label\r\n_atom_site_aniso_U_11\r\n_atom_site_aniso_U_22\r\n_atom_site_aniso_U_33\r\n_atom_site_aniso_U_12\r\n_atom_site_aniso_U_13\r\n_atom_site_aniso_U_23\r\nSe 0.00428 0.00540 0.00732 0.00018 0.00000 0.00000\r\nO1 0.00919 0.00919 0.00964 0.00193 0.00217 0.00217\r\nO2 0.00596 0.01284 0.01524 -0.00137 0.00000 0.00000\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/P4_2=mnm.cif",
    "content": "data_global\r\n_chemical_name_mineral 'Stishovite'\r\nloop_\r\n_publ_author_name\r\n'Ross N L'\r\n'Shu J F'\r\n'Hazen R M'\r\n'Gasparik T'\r\n_journal_name_full 'American Mineralogist'\r\n_journal_volume 75 \r\n_journal_year 1990\r\n_journal_page_first 739\r\n_journal_page_last 747\r\n_publ_section_title\r\n;\r\n High-pressure crystal chemistry of stishovite\r\n P = 0, but in the diamond cell\r\n;\r\n_database_code_amcsd 0001306\r\n_chemical_formula_sum 'Si O2'\r\n_chemical_formula_sum ''\r\n_cell_length_a 4.1801\r\n_cell_length_b 4.1801\r\n_cell_length_c 2.6678\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 90\r\n_cell_volume 46.615\r\n_exptl_crystal_density_diffrn      4.281\r\n_symmetry_space_group_name_H-M 'P 42/m n m'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  '-y,-x,z'\r\n  'y,x,-z'\r\n  '1/2+y,1/2-x,1/2-z'\r\n  '1/2-y,1/2+x,1/2+z'\r\n  '1/2+x,1/2-y,1/2+z'\r\n  '1/2-x,1/2+y,1/2-z'\r\n  'x,y,-z'\r\n  '-x,-y,z'\r\n  'y,x,z'\r\n  '-y,-x,-z'\r\n  '1/2-y,1/2+x,1/2-z'\r\n  '1/2+y,1/2-x,1/2+z'\r\n  '1/2-x,1/2+y,1/2+z'\r\n  '1/2+x,1/2-y,1/2-z'\r\n  '-x,-y,-z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\n_atom_site_U_iso_or_equiv\r\nSi   0.00000   0.00000   0.00000   0.00190\r\nO   0.30670   0.30670   0.00000   0.00393\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/P4_2=n.cif",
    "content": "data_global\r\n_amcsd_formula_title 'Cl8 N4 P4'\r\nloop_\r\n_publ_author_name\r\n'Ketelaar J'\r\n'De Vries T'\r\n_journal_name_full 'Recueil des Travaux Chimiques des Pays-Bas et de la Belgique'\r\n_journal_volume 58 \r\n_journal_year 1939\r\n_journal_page_first 1081\r\n_journal_page_last 1099\r\n_publ_section_title\r\n;\r\n The Crystal Structure of Tetra Phosphonitrile Chloride , $= P4N4Cl8\r\n _cod_database_code 1010890\r\n;\r\n_database_code_amcsd 0017618\r\n_chemical_formula_sum 'Cl2 P N'\r\n_chemical_formula_sum ''\r\n_cell_length_a 10.82\r\n_cell_length_b 10.82\r\n_cell_length_c 5.95\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 90\r\n_cell_volume 696.581\r\n_exptl_crystal_density_diffrn      2.210\r\n_symmetry_space_group_name_H-M 'P 42/n'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  'y,-x,-z'\r\n  '1/2-y,1/2+x,1/2+z'\r\n  '1/2+x,1/2+y,1/2-z'\r\n  '-x,-y,z'\r\n  '-y,x,-z'\r\n  '1/2+y,1/2-x,1/2+z'\r\n  '1/2-x,1/2-y,1/2-z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\nCl1   0.10200   0.19900   0.11000\r\nCl2   0.05700   0.34400   0.56500\r\nP1   0.04100   0.17600   0.42000\r\nN1   0.12500   0.10500   0.61500\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/P4_2=ncm.cif",
    "content": "data_global\r\n_amcsd_formula_title 'Cl2'\r\nloop_\r\n_publ_author_name\r\n'Keesom W'\r\n'Taconis K'\r\n_journal_name_full 'Physica'\r\n_journal_volume 3 \r\n_journal_year 1936\r\n_journal_page_first 237\r\n_journal_page_last 242\r\n_publ_section_title\r\n;\r\n On the crystal structure of chlorine\r\n _cod_database_code 1010328\r\n;\r\n_database_code_amcsd 0017254\r\n_chemical_formula_sum 'Cl'\r\n_chemical_formula_sum ''\r\n_cell_length_a 8.56\r\n_cell_length_b 8.56\r\n_cell_length_c 6.12\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 90\r\n_cell_volume 448.434\r\n_exptl_crystal_density_diffrn      2.100\r\n_symmetry_space_group_name_H-M 'P 42/n c m'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  '1/2-y,1/2-x,z'\r\n  'y,x,1/2-z'\r\n  'y,-x,-z'\r\n  '1/2-y,1/2+x,1/2+z'\r\n  'x,-y,1/2+z'\r\n  '1/2-x,1/2+y,-z'\r\n  '1/2+x,1/2+y,1/2-z'\r\n  '-x,-y,z'\r\n  '1/2+y,1/2+x,z'\r\n  '-y,-x,1/2-z'\r\n  '-y,x,-z'\r\n  '1/2+y,1/2-x,1/2+z'\r\n  '-x,y,1/2+z'\r\n  '1/2+x,1/2-y,-z'\r\n  '1/2-x,1/2-y,1/2-z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\nCl1   0.12500   0.16700   0.10700\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/P4_2=nmc.cif",
    "content": "data_global\r\n_chemical_name_mineral 'Coccinite'\r\nloop_\r\n_publ_author_name\r\n'Schwarzenbach D'\r\n'Birkedal H'\r\n'Hostettler M'\r\n'Fischer P'\r\n_journal_name_full 'Acta Crystallographica, Section B'\r\n_journal_volume 63 \r\n_journal_year 2007\r\n_journal_page_first 828\r\n_journal_page_last 835\r\n_publ_section_title\r\n;\r\n Neutron diffraction investigation of the temperature dependence of\r\n crystal structure and thermal motions of red HgI2\r\n Note: T = 10 K, powder neutron data\r\n;\r\n_database_code_amcsd 0019547\r\n_chemical_compound_source 'synthetic, Fluka 83379'\r\n_chemical_formula_sum 'Hg I2'\r\n_chemical_formula_sum ''\r\n_cell_length_a 4.358\r\n_cell_length_b 4.358\r\n_cell_length_c 12.300\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 90\r\n_cell_volume 233.604\r\n_exptl_crystal_density_diffrn      6.460\r\n_symmetry_space_group_name_H-M 'P 42/n m c'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  '1/2-y,1/2-x,1/2+z'\r\n  '1/2+y,1/2+x,1/2-z'\r\n  '1/2+y,-x,1/2-z'\r\n  '1/2-y,x,1/2+z'\r\n  'x,1/2-y,z'\r\n  '-x,1/2+y,-z'\r\n  '1/2+x,1/2+y,-z'\r\n  '1/2-x,1/2-y,z'\r\n  'y,x,1/2+z'\r\n  '-y,-x,1/2-z'\r\n  '-y,1/2+x,1/2-z'\r\n  'y,1/2-x,1/2+z'\r\n  '1/2-x,y,z'\r\n  '1/2+x,-y,-z'\r\n  '-x,-y,-z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\n_atom_site_U_iso_or_equiv\r\nHg   0.25000   0.75000   0.25000   0.00130\r\nI   0.25000   0.25000   0.39150   0.00110\r\nloop_\r\n_atom_site_aniso_label\r\n_atom_site_aniso_U_11\r\n_atom_site_aniso_U_22\r\n_atom_site_aniso_U_33\r\n_atom_site_aniso_U_12\r\n_atom_site_aniso_U_13\r\n_atom_site_aniso_U_23\r\nHg 0.00130 0.00130 0.00110 0.00000 0.00000 0.00000\r\nI 0.00240 0.00010 0.00080 0.00000 0.00000 0.00000\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/P4_2=nnm.cif",
    "content": "data_global\r\n_chemical_name_mineral 'Mushistonite'\r\nloop_\r\n_publ_author_name\r\n'Morgenstern-Badarau I'\r\n_journal_name_full 'Journal of Solid State Chemistry'\r\n_journal_volume 17 \r\n_journal_year 1976\r\n_journal_page_first 399\r\n_journal_page_last 406\r\n_publ_section_title\r\n;\r\n Effet Jahn-Teller et structure cristalline de l'hydroxyde CuSn(OH)6\r\n;\r\n_database_code_amcsd 0013333\r\n_chemical_formula_sum 'Cu Sn (O6 H6)'\r\n_chemical_formula_sum ''\r\n_cell_length_a 7.586\r\n_cell_length_b 7.586\r\n_cell_length_c 8.103\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 90\r\n_cell_volume 466.307\r\n_exptl_crystal_density_diffrn      4.050\r\n_symmetry_space_group_name_H-M 'P 42/n n m'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  '-y,-x,z'\r\n  'y,x,-z'\r\n  '1/2+y,-x,1/2-z'\r\n  '1/2-y,x,1/2+z'\r\n  '1/2+x,-y,1/2+z'\r\n  '1/2-x,y,1/2-z'\r\n  '1/2+x,1/2+y,-z'\r\n  '1/2-x,1/2-y,z'\r\n  '1/2+y,1/2+x,z'\r\n  '1/2-y,1/2-x,-z'\r\n  '-y,1/2+x,1/2-z'\r\n  'y,1/2-x,1/2+z'\r\n  '-x,1/2+y,1/2+z'\r\n  'x,1/2-y,1/2-z'\r\n  '-x,-y,-z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\n_atom_site_U_iso_or_equiv\r\nCu   0.00000   0.00000   0.00000   0.01520\r\nSn   0.50000   0.50000   0.50000   0.01456\r\nO-H   0.06300   0.24350  -0.07700   0.02368\r\nO-H  -0.07500   0.07500   0.26400   0.01368\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/P4_2nm.cif",
    "content": "data_global\r\n_amcsd_formula_title 'F6 Fe2 Li'\r\nloop_\r\n_publ_author_name\r\n'Fourquet J'\r\n'LeSamedi E'\r\n'Calage Y'\r\n_journal_name_full 'Journal of Solid State Chemistry'\r\n_journal_volume 77 \r\n_journal_year 1988\r\n_journal_page_first 84\r\n_journal_page_last 89\r\n_publ_section_title\r\n;\r\n Le trirutile ordonne Li Fe2 F6: Croissance cristalline et etude structurale\r\n _cod_database_code 1000239\r\n;\r\n_database_code_amcsd 0013624\r\n_chemical_formula_sum 'Li Fe2 F6'\r\n_chemical_formula_sum ''\r\n_cell_length_a 4.679\r\n_cell_length_b 4.679\r\n_cell_length_c 9.324\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 90\r\n_cell_volume 204.131\r\n_exptl_crystal_density_diffrn      3.785\r\n_symmetry_space_group_name_H-M 'P 42 n m'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  '-y,-x,z'\r\n  '1/2-y,1/2+x,1/2+z'\r\n  '1/2+x,1/2-y,1/2+z'\r\n  '-x,-y,z'\r\n  'y,x,z'\r\n  '1/2+y,1/2-x,1/2+z'\r\n  '1/2-x,1/2+y,1/2+z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\nLi1   0.00000   0.00000   0.66640\r\nFe1   0.00000   0.00000   0.33390\r\nFe2   0.00000   0.00000   0.00000\r\nF1   0.69380   0.69380   0.65680\r\nF2   0.29140   0.29140   0.00260\r\nF3   0.30530   0.30530   0.34400\r\nloop_\r\n_atom_site_aniso_label\r\n_atom_site_aniso_U_11\r\n_atom_site_aniso_U_22\r\n_atom_site_aniso_U_33\r\n_atom_site_aniso_U_12\r\n_atom_site_aniso_U_13\r\n_atom_site_aniso_U_23\r\nLi1 0.01650 0.01650 0.01070 0.01530 0.00000 0.00000\r\nFe1 0.00790 0.00790 0.00770 -0.00220 0.00000 0.00000\r\nFe2 0.00770 0.00770 0.00700 -0.00020 0.00000 0.00000\r\nF1 0.01220 0.01220 0.00810 -0.00450 0.00020 0.00020\r\nF2 0.01280 0.01280 0.01210 -0.00550 -0.00170 -0.00170\r\nF3 0.01480 0.01480 0.01240 -0.00520 -0.00180 -0.00180\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/P4_322.cif",
    "content": "data_global\r\n_amcsd_formula_title 'Mn2 O4 Ti'\r\nloop_\r\n_publ_author_name\r\n'Bertaut E'\r\n'Vincent H'\r\n_journal_name_full 'Solid State Communications'\r\n_journal_volume 6 \r\n_journal_year 1968\r\n_journal_page_first 269\r\n_journal_page_last 275\r\n_publ_section_title\r\n;\r\n Etude par diffraction neutronique de la forme ordonnee de l'orthotitanate\r\n de manganese - structure cristalline et structure magnetique\r\n _cod_database_code 1008093\r\n;\r\n_database_code_amcsd 0016035\r\n_chemical_formula_sum 'O4 Ti Mn2'\r\n_chemical_formula_sum ''\r\n_cell_length_a 6.170\r\n_cell_length_b 6.170\r\n_cell_length_c 8.564\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 90\r\n_cell_volume 326.022\r\n_exptl_crystal_density_diffrn      4.518\r\n_symmetry_space_group_name_H-M 'P 43 2 2'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  'y,x,1/4-z'\r\n  '-y,x,3/4+z'\r\n  '-x,y,-z'\r\n  '-x,-y,1/2+z'\r\n  '-y,-x,3/4-z'\r\n  'y,-x,1/4+z'\r\n  'x,-y,1/2-z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\nO1   0.27200   0.01100   0.00900\r\nO2   0.29200   0.52100   0.01500\r\nTi1   0.50000   0.24700   0.00000\r\nMn1   0.00000   0.24200   0.00000\r\nMn2   0.24100   0.24100   0.62500\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/P4_32_12.cif",
    "content": "data_global\r\n_amcsd_formula_title 'SiO2'\r\nloop_\r\n_publ_author_name\r\n'Boisen M B'\r\n'Gibbs G V'\r\n'Bukowinski M S T'\r\n_journal_name_full 'Physics and Chemistry of Minerals'\r\n_journal_volume 21 \r\n_journal_year 1994\r\n_journal_page_first 269\r\n_journal_page_last 284\r\n_publ_section_title\r\n;\r\n Framework silica structures generated using simulated annealing\r\n with a potential energy function based on an H6Si2O7 molecule\r\n Sample: 5\r\n;\r\n_database_code_amcsd 0007870\r\n_chemical_formula_sum 'Si O2'\r\n_chemical_formula_sum ''\r\n_cell_length_a 4.9329\r\n_cell_length_b 4.9329\r\n_cell_length_c 6.4645\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 90\r\n_cell_volume 157.304\r\n_exptl_crystal_density_diffrn      2.537\r\n_symmetry_space_group_name_H-M 'P 43 21 2'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  'y,x,-z'\r\n  '1/2-y,1/2+x,3/4+z'\r\n  '1/2-x,1/2+y,3/4-z'\r\n  '-x,-y,1/2+z'\r\n  '-y,-x,1/2-z'\r\n  '1/2+y,1/2-x,1/4+z'\r\n  '1/2+x,1/2-y,1/4-z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\nSi   0.81770   0.81771   0.50000\r\nO   0.26834   0.36457   0.80193\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/P4bm.cif",
    "content": "data_global\r\n_amcsd_formula_title 'Cl H4 N O2'\r\nloop_\r\n_publ_author_name\r\n'Levi G'\r\n'Scherillo A'\r\n_journal_name_full 'Zeitschrift fur Kristallographie'\r\n_journal_volume 76 \r\n_journal_year 1931\r\n_journal_page_first 431\r\n_journal_page_last 452\r\n_publ_section_title\r\n;\r\n Ricerche cristallografiche sui sali dell acido cloroso\r\n _cod_database_code 1010621\r\n;\r\n_database_code_amcsd 0017503\r\n_chemical_formula_sum 'N Cl'\r\n_chemical_formula_sum ''\r\n_cell_length_a 6.3\r\n_cell_length_b 6.3\r\n_cell_length_c 6.3\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 90\r\n_cell_volume 250.047\r\n_exptl_crystal_density_diffrn      0.657\r\n_symmetry_space_group_name_H-M 'P 4 b m'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  '1/2-y,1/2-x,z'\r\n  '-y,x,z'\r\n  '1/2+x,1/2-y,z'\r\n  '-x,-y,z'\r\n  '1/2+y,1/2+x,z'\r\n  'y,-x,z'\r\n  '1/2-x,1/2+y,z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\nN1   0.00000   0.00000   0.00000\r\nCl1   0.50000   0.00000   0.25000\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/P4mm.cif",
    "content": "data_global\r\n_chemical_name_mineral 'Macedonite'\r\nloop_\r\n_publ_author_name\r\n'Glazer A M'\r\n'Mabud S A'\r\n_journal_name_full 'Acta Crystallographica, Section B'\r\n_journal_volume 34 \r\n_journal_year 1978\r\n_journal_page_first 1065\r\n_journal_page_last 1070\r\n_publ_section_title\r\n;\r\n Powder profile refinement of lead zirconate titanate at several temperatures.\r\n II. Pure PbTiO3\r\n Sample: T = -183 C\r\n;\r\n_database_code_amcsd 0009629\r\n_chemical_compound_source 'Synthetic'\r\n_chemical_formula_sum 'Pb Ti O3'\r\n_chemical_formula_sum ''\r\n_cell_length_a 3.895\r\n_cell_length_b 3.895\r\n_cell_length_c 4.171\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 90\r\n_cell_volume 63.278\r\n_exptl_crystal_density_diffrn      7.953\r\n_symmetry_space_group_name_H-M 'P 4 m m'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  '-y,-x,z'\r\n  '-y,x,z'\r\n  'x,-y,z'\r\n  '-x,-y,z'\r\n  'y,x,z'\r\n  'y,-x,z'\r\n  '-x,y,z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\n_atom_site_U_iso_or_equiv\r\nPb   0.00000   0.00000   0.00000   0.00479\r\nTi   0.50000   0.50000   0.54000   0.00360\r\nO1   0.50000   0.50000   0.11800   0.00849\r\nO2   0.50000   0.00000   0.62100   0.00631\r\nloop_\r\n_atom_site_aniso_label\r\n_atom_site_aniso_U_11\r\n_atom_site_aniso_U_22\r\n_atom_site_aniso_U_33\r\n_atom_site_aniso_U_12\r\n_atom_site_aniso_U_13\r\n_atom_site_aniso_U_23\r\nPb 0.00089 0.00089 0.00329 0.00000 0.00000 0.00000\r\nTi 0.00241 0.00241 -0.00101 0.00000 0.00000 0.00000\r\nO1 0.00481 0.00481 0.02064 0.00000 0.00000 0.00000\r\nO2 0.01216 0.00646 0.01444 0.00000 0.00000 0.00000\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/P622.cif",
    "content": "data_global\r\n_chemical_name_mineral 'Lucabindiite'\r\nloop_\r\n_publ_author_name\r\n'Pertlik F'\r\n_journal_name_full 'Monatshefte fur Chemie'\r\n_journal_volume 119 \r\n_journal_year 1988\r\n_journal_page_first 451\r\n_journal_page_last 456\r\n_publ_section_title\r\n;\r\n The compounds KAs4O6X (X=Cl,Br,I) and NH4As4O6X (X=Br,I):\r\n Hydrothermal syntheses and structure determinations\r\n;\r\n_database_code_amcsd 0019949\r\n_chemical_compound_source 'Synthetic'\r\n_chemical_formula_sum 'K As4 O6 Cl'\r\n_chemical_formula_sum ''\r\n_cell_length_a 5.252\r\n_cell_length_b 5.252\r\n_cell_length_c 8.880\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 120\r\n_cell_volume 212.126\r\n_exptl_crystal_density_diffrn      3.681\r\n_symmetry_space_group_name_H-M 'P 6 2 2'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  'x,x-y,-z'\r\n  'x-y,x,z'\r\n  'y,x,-z'\r\n  '-y,x-y,z'\r\n  '-x+y,y,-z'\r\n  '-x,-y,z'\r\n  '-x,-x+y,-z'\r\n  '-x+y,-x,z'\r\n  '-y,-x,-z'\r\n  'y,-x+y,z'\r\n  'x-y,-y,-z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\nKM   0.00000   0.00000   0.50000\r\nAs   0.33333   0.66667   0.20533\r\nO   0.50000   0.00000   0.31360\r\nClX   0.00000   0.00000   0.00000\r\nloop_\r\n_atom_site_aniso_label\r\n_atom_site_aniso_U_11\r\n_atom_site_aniso_U_22\r\n_atom_site_aniso_U_33\r\n_atom_site_aniso_U_12\r\n_atom_site_aniso_U_13\r\n_atom_site_aniso_U_23\r\nKM 0.03540 0.03540 0.03010 0.01770 0.00000 0.00000\r\nAs 0.01500 0.01500 0.01720 0.00750 0.00000 0.00000\r\nO 0.02970 0.01260 0.02250 0.01110 0.00000 0.00000\r\nClX 0.03150 0.03150 0.07740 0.01575 0.00000 0.00000\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/P6=mcc.cif",
    "content": "data_global\r\n_chemical_name_mineral 'Beryl'\r\nloop_\r\n_publ_author_name\r\n'Hazen R M'\r\n'Au A Y'\r\n'Finger L W'\r\n_journal_name_full 'American Mineralogist'\r\n_journal_volume 71 \r\n_journal_year 1986\r\n_journal_page_first 977\r\n_journal_page_last 984\r\n_publ_section_title\r\n;\r\n High-pressure crystal chemistry of beryl (Be3Al2Si6O18) and euclase (BeAlSiO4OH)\r\n Sample: Pressure = .001 kbar\r\n;\r\n_database_code_amcsd 0001040\r\n_chemical_formula_sum 'Be3 Al2 Si6 O18'\r\n_chemical_formula_sum ''\r\n_cell_length_a 9.208\r\n_cell_length_b 9.208\r\n_cell_length_c 9.188\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 120\r\n_cell_volume 674.656\r\n_exptl_crystal_density_diffrn      2.646\r\n_symmetry_space_group_name_H-M 'P 6/m c c'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  '-x,-x+y,1/2+z'\r\n  'x,x-y,1/2-z'\r\n  '-x+y,-x,-z'\r\n  'x-y,x,z'\r\n  '-y,-x,1/2+z'\r\n  'y,x,1/2-z'\r\n  'y,-x+y,-z'\r\n  '-y,x-y,z'\r\n  'x-y,-y,1/2+z'\r\n  '-x+y,y,1/2-z'\r\n  'x,y,-z'\r\n  '-x,-y,z'\r\n  'x,x-y,1/2+z'\r\n  '-x,-x+y,1/2-z'\r\n  'x-y,x,-z'\r\n  '-x+y,-x,z'\r\n  'y,x,1/2+z'\r\n  '-y,-x,1/2-z'\r\n  '-y,x-y,-z'\r\n  'y,-x+y,z'\r\n  '-x+y,y,1/2+z'\r\n  'x-y,-y,1/2-z'\r\n  '-x,-y,-z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\n_atom_site_U_iso_or_equiv\r\nBe   0.50000   0.00000   0.25000   0.00722\r\nAl   0.33333   0.66667   0.25000   0.00646\r\nSi   0.38760   0.11590   0.00000   0.00557\r\nO1   0.31030   0.23690   0.00000   0.01039\r\nO2   0.49850   0.14560   0.14530   0.00861\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/P6=mmm.cif",
    "content": "data_global\r\n_chemical_name_mineral 'Silicon'\r\nloop_\r\n_publ_author_name\r\n'Olijnyk H'\r\n'Sikka S K'\r\n'Holzapfel W B'\r\n_journal_name_full 'Physics Letters'\r\n_journal_volume 103A \r\n_journal_year 1984\r\n_journal_page_first 137\r\n_journal_page_last 140\r\n_publ_section_title\r\n;\r\n Structural phase transitions in Si and Ge under pressures up to 50 GPa\r\n Sample: at P = 19.5 GPa\r\n Note: phase V, structure stable between 16 GPa & 34 GPa\r\n;\r\n_database_code_amcsd 0015303\r\n_chemical_compound_source 'Synthetic'\r\n_chemical_formula_sum 'Si'\r\n_chemical_formula_sum ''\r\n_cell_length_a 2.527\r\n_cell_length_b 2.527\r\n_cell_length_c 2.373\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 120\r\n_cell_volume 13.123\r\n_exptl_crystal_density_diffrn      3.554\r\n_symmetry_space_group_name_H-M 'P 6/m m m'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  '-x,-x+y,z'\r\n  'x,x-y,-z'\r\n  '-x+y,-x,-z'\r\n  'x-y,x,z'\r\n  '-y,-x,z'\r\n  'y,x,-z'\r\n  'y,-x+y,-z'\r\n  '-y,x-y,z'\r\n  'x-y,-y,z'\r\n  '-x+y,y,-z'\r\n  'x,y,-z'\r\n  '-x,-y,z'\r\n  'x,x-y,z'\r\n  '-x,-x+y,-z'\r\n  'x-y,x,-z'\r\n  '-x+y,-x,z'\r\n  'y,x,z'\r\n  '-y,-x,-z'\r\n  '-y,x-y,-z'\r\n  'y,-x+y,z'\r\n  '-x+y,y,z'\r\n  'x-y,-y,-z'\r\n  '-x,-y,-z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\nSi   0.00000   0.00000   0.00000\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/P6_222.cif",
    "content": "data_global\r\n_chemical_name_mineral 'Quartz'\r\nloop_\r\n_publ_author_name\r\n'Kihara K'\r\n_journal_name_full 'European Journal of Mineralogy'\r\n_journal_volume 2 \r\n_journal_year 1990\r\n_journal_page_first 63\r\n_journal_page_last 77\r\n_publ_section_title\r\n;\r\n An X-ray study of the temperature dependence of the quartz structure\r\n Sample: at T = 848 K\r\n;\r\n_database_code_amcsd 0006370\r\n_chemical_formula_sum 'Si O2'\r\n_chemical_formula_sum ''\r\n_cell_length_a 4.9965\r\n_cell_length_b 4.9965\r\n_cell_length_c 5.4570\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 120\r\n_cell_volume 117.982\r\n_exptl_crystal_density_diffrn      2.537\r\n_symmetry_space_group_name_H-M 'P 62 2 2'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  'x,x-y,1/3-z'\r\n  'x-y,x,1/3+z'\r\n  'y,x,2/3-z'\r\n  '-y,x-y,2/3+z'\r\n  '-x+y,y,-z'\r\n  '-x,-y,z'\r\n  '-x,-x+y,1/3-z'\r\n  '-x+y,-x,1/3+z'\r\n  '-y,-x,2/3-z'\r\n  'y,-x+y,2/3+z'\r\n  'x-y,-y,-z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\nSi   0.50000   0.00000   0.00000\r\nO   0.41520   0.20760   0.16667\r\nloop_\r\n_atom_site_aniso_label\r\n_atom_site_aniso_U_11\r\n_atom_site_aniso_U_22\r\n_atom_site_aniso_U_33\r\n_atom_site_aniso_U_12\r\n_atom_site_aniso_U_13\r\n_atom_site_aniso_U_23\r\nSi 0.02646 0.02011 0.01991 0.01005 0.00000 0.00000\r\nO 0.04942 0.05464 0.05853 0.02471 0.00000 -0.03218\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/P6_3.cif",
    "content": "data_global\r\n_chemical_name_mineral 'Kalsilite'\r\nloop_\r\n_publ_author_name\r\n'Cellai D'\r\n'Gesing T M'\r\n'Wruck B'\r\n'Carpenter M A'\r\n_journal_name_full 'American Mineralogist'\r\n_journal_volume 84 \r\n_journal_year 1999\r\n_journal_page_first 1950\r\n_journal_page_last 1955\r\n_publ_section_title\r\n;\r\n X-ray study of the trigonal-hexagonal phase transition in metamorphic kalsilite\r\n;\r\n_database_code_amcsd 0002336\r\n_chemical_formula_sum 'K Al Si O4'\r\n_chemical_formula_sum ''\r\n_cell_length_a 5.1627\r\n_cell_length_b 5.1627\r\n_cell_length_c 8.706\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 120\r\n_cell_volume 200.957\r\n_exptl_crystal_density_diffrn      2.614\r\n_symmetry_space_group_name_H-M 'P 63'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  'x-y,x,1/2+z'\r\n  '-y,x-y,z'\r\n  '-x,-y,1/2+z'\r\n  '-x+y,-x,z'\r\n  'y,-x+y,1/2+z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\nK   0.00000   0.00000   0.25000\r\nAl   0.33333   0.66667   0.06100\r\nSi   0.33333   0.66667   0.44300\r\nO1   0.33333   0.66667   0.24100\r\nO2   0.60270   0.01190   0.99700\r\nloop_\r\n_atom_site_aniso_label\r\n_atom_site_aniso_U_11\r\n_atom_site_aniso_U_22\r\n_atom_site_aniso_U_33\r\n_atom_site_aniso_U_12\r\n_atom_site_aniso_U_13\r\n_atom_site_aniso_U_23\r\nK 0.01740 0.01740 0.01940 0.00870 0.00000 0.00000\r\nAl 0.00860 0.00860 0.01100 0.00430 0.00000 0.00000\r\nSi 0.00810 0.00810 0.00700 0.00405 0.00000 0.00000\r\nO1 0.05200 0.05200 0.00500 0.02600 0.00000 0.00000\r\nO2 0.01100 0.01200 0.03600 0.00600 0.00300 0.00200\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/P6_322.cif",
    "content": "data_global\r\n_chemical_name_mineral 'Siderazot'\r\nloop_\r\n_publ_author_name\r\n'Hendricks S B'\r\n'Kosting P R'\r\n_journal_name_full 'Zeitschrift fur Kristallographie'\r\n_journal_volume 74 \r\n_journal_year 1930\r\n_journal_page_first 511\r\n_journal_page_last 533\r\n_publ_section_title\r\n;\r\n The crystal structure of Fe2P, Fe2N, Fe3N and FeB\r\n;\r\n_database_code_amcsd 0010503\r\n_chemical_compound_source 'Synthetic'\r\n_chemical_formula_sum 'Fe3 N'\r\n_chemical_formula_sum ''\r\n_cell_length_a 4.668\r\n_cell_length_b 4.668\r\n_cell_length_c 4.362\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 120\r\n_cell_volume 82.315\r\n_exptl_crystal_density_diffrn      7.325\r\n_symmetry_space_group_name_H-M 'P 63 2 2'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  'x,x-y,1/2-z'\r\n  'x-y,x,1/2+z'\r\n  'y,x,-z'\r\n  '-y,x-y,z'\r\n  '-x+y,y,1/2-z'\r\n  '-x,-y,1/2+z'\r\n  '-x,-x+y,-z'\r\n  '-x+y,-x,z'\r\n  '-y,-x,1/2-z'\r\n  'y,-x+y,1/2+z'\r\n  'x-y,-y,-z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\nFe   0.66667   0.00000   0.00000\r\nN   0.33333   0.66667   0.25000\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/P6_3=m.cif",
    "content": "data_global\r\n_amcsd_formula_title 'K2SiSi3O9'\r\nloop_\r\n_publ_author_name\r\n'Swanson D K'\r\n'Prewitt C T'\r\n_journal_name_full 'American Mineralogist'\r\n_journal_volume 68 \r\n_journal_year 1983\r\n_journal_page_first 581\r\n_journal_page_last 585\r\n_publ_section_title\r\n;\r\n The crystal structure of K2SiSi3O9\r\n Note: B(1,2) for K and Si1 have been changed to match symmetry constraints\r\n Note: wadeite structure\r\n;\r\n_database_code_amcsd 0000896\r\n_chemical_formula_sum 'K2 Si4 O9'\r\n_chemical_formula_sum ''\r\n_cell_length_a 6.612\r\n_cell_length_b 6.612\r\n_cell_length_c 9.510\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 120\r\n_cell_volume 360.062\r\n_exptl_crystal_density_diffrn      3.086\r\n_symmetry_space_group_name_H-M 'P 63/m'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  '-x+y,-x,1/2-z'\r\n  'x-y,x,1/2+z'\r\n  'y,-x+y,-z'\r\n  '-y,x-y,z'\r\n  'x,y,1/2-z'\r\n  '-x,-y,1/2+z'\r\n  'x-y,x,-z'\r\n  '-x+y,-x,z'\r\n  '-y,x-y,1/2-z'\r\n  'y,-x+y,1/2+z'\r\n  '-x,-y,-z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\nK   0.33333   0.66667   0.05778\r\nSi1   0.00000   0.00000   0.00000\r\nSi2   0.36532   0.23343   0.25000\r\nO1   0.49150   0.07339   0.25000\r\nO2   0.23203   0.20907   0.10611\r\nloop_\r\n_atom_site_aniso_label\r\n_atom_site_aniso_U_11\r\n_atom_site_aniso_U_22\r\n_atom_site_aniso_U_33\r\n_atom_site_aniso_U_12\r\n_atom_site_aniso_U_13\r\n_atom_site_aniso_U_23\r\nK 0.02349 0.02349 0.01196 0.01174 0.00000 0.00000\r\nSi1 0.00744 0.00744 0.00316 0.00372 0.00000 0.00000\r\nSi2 0.00359 0.00440 0.00431 0.00201 0.00000 0.00000\r\nO1 0.00508 0.00663 0.01310 0.00364 0.00000 0.00000\r\nO2 0.00865 0.00799 0.00641 0.00384 -0.00389 -0.00226\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/P6_3=mcm.cif",
    "content": "data_global\r\n_chemical_name_mineral 'Mavlyanovite'\r\nloop_\r\n_publ_author_name\r\n'Aronsson B'\r\n_journal_name_full 'Acta Chemica Scandinavica'\r\n_journal_volume 14 \r\n_journal_year 1960\r\n_journal_page_first 1414\r\n_journal_page_last 1418\r\n_publ_section_title\r\n;\r\n A note on the compositions and crystal structures of MnB2, Mn3Si, Mn5Si3 and FeSi2\r\n;\r\n_database_code_amcsd 0018916\r\n_chemical_compound_source 'Synthetic'\r\n_chemical_formula_sum 'Mn5 Si3'\r\n_chemical_formula_sum ''\r\n_cell_length_a 6.91\r\n_cell_length_b 6.91\r\n_cell_length_c 4.814\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 120\r\n_cell_volume 199.064\r\n_exptl_crystal_density_diffrn      5.988\r\n_symmetry_space_group_name_H-M 'P 63/m c m'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  '-x,-x+y,z'\r\n  'x,x-y,-z'\r\n  '-x+y,-x,1/2-z'\r\n  'x-y,x,1/2+z'\r\n  '-y,-x,1/2+z'\r\n  'y,x,1/2-z'\r\n  'y,-x+y,-z'\r\n  '-y,x-y,z'\r\n  'x-y,-y,z'\r\n  '-x+y,y,-z'\r\n  'x,y,1/2-z'\r\n  '-x,-y,1/2+z'\r\n  'x,x-y,1/2+z'\r\n  '-x,-x+y,1/2-z'\r\n  'x-y,x,-z'\r\n  '-x+y,-x,z'\r\n  'y,x,z'\r\n  '-y,-x,-z'\r\n  '-y,x-y,1/2-z'\r\n  'y,-x+y,1/2+z'\r\n  '-x+y,y,1/2+z'\r\n  'x-y,-y,1/2-z'\r\n  '-x,-y,-z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\n_atom_site_U_iso_or_equiv\r\nMn1   0.33333   0.66667   0.00000   0.00431\r\nMn2   0.23580   0.00000   0.25000   0.00431\r\nSi   0.59920   0.00000   0.25000   0.00431\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/P6_3=mmc.cif",
    "content": "data_global\r\n_chemical_name_mineral 'Hexaferrum'\r\nloop_\r\n_publ_author_name\r\n'Dubrovinsky L S'\r\n'Lazor P'\r\n'Saxena S K'\r\n'Haggkvist P'\r\n'Weber H P'\r\n'Le Bihan T'\r\n'Hausermann D'\r\n_journal_name_full 'Physics and Chemistry of Minerals'\r\n_journal_volume 26 \r\n_journal_year 1999\r\n_journal_page_first 539\r\n_journal_page_last 545\r\n_publ_section_title\r\n;\r\n Study of laser heated iron using third generation synchrotron\r\n X-ray radiation facility with imaging plate at high pressures\r\n Sample: epsilon iron phase: P = 61 GPa, T = 300 K\r\n;\r\n_database_code_amcsd 0008238\r\n_chemical_formula_sum 'Fe'\r\n_chemical_formula_sum ''\r\n_cell_length_a 2.347\r\n_cell_length_b 2.347\r\n_cell_length_c 3.797\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 120\r\n_cell_volume 18.113\r\n_exptl_crystal_density_diffrn     10.240\r\n_symmetry_space_group_name_H-M 'P 63/m m c'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  '-x,-x+y,1/2+z'\r\n  'x,x-y,1/2-z'\r\n  '-x+y,-x,1/2-z'\r\n  'x-y,x,1/2+z'\r\n  '-y,-x,z'\r\n  'y,x,-z'\r\n  'y,-x+y,-z'\r\n  '-y,x-y,z'\r\n  'x-y,-y,1/2+z'\r\n  '-x+y,y,1/2-z'\r\n  'x,y,1/2-z'\r\n  '-x,-y,1/2+z'\r\n  'x,x-y,z'\r\n  '-x,-x+y,-z'\r\n  'x-y,x,-z'\r\n  '-x+y,-x,z'\r\n  'y,x,1/2+z'\r\n  '-y,-x,1/2-z'\r\n  '-y,x-y,1/2-z'\r\n  'y,-x+y,1/2+z'\r\n  '-x+y,y,z'\r\n  'x-y,-y,-z'\r\n  '-x,-y,-z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\nFe   0.33333   0.66667   0.25000\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/P6_3cm.cif",
    "content": "data_global\r\n_chemical_name_mineral 'Fluocerite (La)'\r\nloop_\r\n_publ_author_name\r\n'de Rango C'\r\n'Tsoucaris G'\r\n'Zelwer C'\r\n_journal_name_full 'Comptes Rendus Hebdomadaires des Seances de l'Academie des Sciences'\r\n_journal_volume 263 \r\n_journal_year 1966\r\n_journal_page_first 64\r\n_journal_page_last 66\r\n_publ_section_title\r\n;\r\n Determination de la structure du fluorure de lanthane La F3\r\n _cod_database_code 1008751\r\n;\r\n_database_code_amcsd 0016630\r\n_chemical_formula_sum 'La F3'\r\n_chemical_formula_sum ''\r\n_cell_length_a 7.16\r\n_cell_length_b 7.16\r\n_cell_length_c 7.36\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 120\r\n_cell_volume 326.764\r\n_exptl_crystal_density_diffrn      5.973\r\n_symmetry_space_group_name_H-M 'P 63 c m'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  '-x,-x+y,z'\r\n  'x-y,x,1/2+z'\r\n  '-y,-x,1/2+z'\r\n  '-y,x-y,z'\r\n  'x-y,-y,z'\r\n  '-x,-y,1/2+z'\r\n  'x,x-y,1/2+z'\r\n  '-x+y,-x,z'\r\n  'y,x,z'\r\n  'y,-x+y,1/2+z'\r\n  '-x+y,y,1/2+z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\nLa1   0.67100   0.00000   0.25000\r\nF1   0.00000   0.00000   0.31000\r\nF2   0.33333   0.66667   0.21000\r\nF3   0.27600   0.00000   0.06700\r\nF4   0.37200   0.00000   0.40400\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/P6_3mc.cif",
    "content": "data_global\r\n_chemical_name_mineral 'Zincite'\r\nloop_\r\n_publ_author_name\r\n'Kihara K'\r\n'Donnay G'\r\n_journal_name_full 'The Canadian Mineralogist'\r\n_journal_volume 23 \r\n_journal_year 1985\r\n_journal_page_first 647\r\n_journal_page_last 654\r\n_publ_section_title\r\n;\r\n Anharmonic thermal vibrations in ZnO\r\n Model: 2-c, at T = 293 K\r\n;\r\n_database_code_amcsd 0005203\r\n_chemical_formula_sum 'Zn O'\r\n_chemical_formula_sum ''\r\n_cell_length_a 3.2494\r\n_cell_length_b 3.2494\r\n_cell_length_c 5.2038\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 120\r\n_cell_volume 47.584\r\n_exptl_crystal_density_diffrn      5.681\r\n_symmetry_space_group_name_H-M 'P 63 m c'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  '-x,-x+y,1/2+z'\r\n  'x-y,x,1/2+z'\r\n  '-y,-x,z'\r\n  '-y,x-y,z'\r\n  'x-y,-y,1/2+z'\r\n  '-x,-y,1/2+z'\r\n  'x,x-y,z'\r\n  '-x+y,-x,z'\r\n  'y,x,1/2+z'\r\n  'y,-x+y,1/2+z'\r\n  '-x+y,y,z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\nZn   0.33333   0.66667   0.00000\r\nO   0.33333   0.66667   0.38210\r\nloop_\r\n_atom_site_aniso_label\r\n_atom_site_aniso_U_11\r\n_atom_site_aniso_U_22\r\n_atom_site_aniso_U_33\r\n_atom_site_aniso_U_12\r\n_atom_site_aniso_U_13\r\n_atom_site_aniso_U_23\r\nZn 0.01820 0.01820 0.00540 0.00910 0.00000 0.00000\r\nO 0.01810 0.01810 0.00540 0.00905 0.00000 0.00000\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/Pa3.cif",
    "content": "data_global\r\n_chemical_name_mineral 'Nitrogen'\r\nloop_\r\n_publ_author_name\r\n'Wyckoff R W G'\r\n_journal_name_full 'Crystal Structures'\r\n_journal_volume 1 \r\n_journal_year 1963\r\n_journal_page_first 7\r\n_journal_page_last 83\r\n_publ_section_title\r\n;\r\n Second edition. Interscience Publishers, New York, New York\r\n Sample at T = 4.2 K\r\n;\r\n_database_code_amcsd 0011249\r\n_chemical_formula_sum 'N'\r\n_chemical_formula_sum ''\r\n_cell_length_a 5.644\r\n_cell_length_b 5.644\r\n_cell_length_c 5.644\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 90\r\n_cell_volume 179.788\r\n_exptl_crystal_density_diffrn      1.035\r\n_symmetry_space_group_name_H-M 'P a 3'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  '1/2+z,x,1/2-y'\r\n  'z,1/2-x,1/2+y'\r\n  '1/2-z,1/2+x,y'\r\n  '-z,-x,-y'\r\n  '1/2+y,1/2-z,-x'\r\n  '1/2-y,-z,1/2+x'\r\n  '-y,1/2+z,1/2-x'\r\n  'y,z,x'\r\n  'x,1/2-y,1/2+z'\r\n  '1/2-x,1/2+y,z'\r\n  '1/2+x,y,1/2-z'\r\n  '-x,-y,-z'\r\n  '1/2-z,-x,1/2+y'\r\n  '-z,1/2+x,1/2-y'\r\n  '1/2+z,1/2-x,-y'\r\n  'z,x,y'\r\n  '1/2-y,1/2+z,x'\r\n  '1/2+y,z,1/2-x'\r\n  'y,1/2-z,1/2+x'\r\n  '-y,-z,-x'\r\n  '-x,1/2+y,1/2-z'\r\n  '1/2+x,1/2-y,-z'\r\n  '1/2-x,-y,1/2+z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\nN2   0.05400   0.05400   0.05400\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/Pbam.cif",
    "content": "data_global\r\n_amcsd_formula_title 'Mn2GeO4-delta'\r\nloop_\r\n_publ_author_name\r\n'Morimoto N'\r\n'Tokonami M'\r\n'Koto K'\r\n'Nakajima S'\r\n_journal_name_full 'American Mineralogist'\r\n_journal_volume 57 \r\n_journal_year 1972\r\n_journal_page_first 62\r\n_journal_page_last 75\r\n_publ_section_title\r\n;\r\n Crystal structures of the high pressure polymorphs of Mn2GeO4\r\n;\r\n_database_code_amcsd 0000271\r\n_chemical_formula_sum 'Mn2 Ge O4'\r\n_chemical_formula_sum ''\r\n_cell_length_a 5.262\r\n_cell_length_b 9.274\r\n_cell_length_c 2.954\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 90\r\n_cell_volume 144.155\r\n_exptl_crystal_density_diffrn      5.679\r\n_symmetry_space_group_name_H-M 'P b a m'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  '1/2+x,1/2-y,z'\r\n  '1/2-x,1/2+y,-z'\r\n  '1/2-x,1/2+y,z'\r\n  '1/2+x,1/2-y,-z'\r\n  'x,y,-z'\r\n  '-x,-y,z'\r\n  '-x,-y,-z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\nMn   0.06220   0.32220   0.50000\r\nGe   0.00000   0.00000   0.00000\r\nO1   0.22950   0.04330   0.50000\r\nO2   0.37220   0.31410   0.00000\r\nloop_\r\n_atom_site_aniso_label\r\n_atom_site_aniso_U_11\r\n_atom_site_aniso_U_22\r\n_atom_site_aniso_U_33\r\n_atom_site_aniso_U_12\r\n_atom_site_aniso_U_13\r\n_atom_site_aniso_U_23\r\nMn 0.00673 0.01176 0.01768 -0.00025 0.00000 0.00000\r\nGe 0.00743 0.00741 0.01459 0.00000 0.00000 0.00000\r\nO1 0.01094 0.01133 0.01282 -0.00470 0.00000 0.00000\r\nO2 0.00926 0.00741 0.01326 0.00000 0.00000 0.00000\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/Pban.cif",
    "content": "data_global\r\n_chemical_name_mineral 'Graphite'\r\nloop_\r\n_publ_author_name\r\n'Fayos J'\r\n_journal_name_full 'Journal of Solid State Chemistry'\r\n_journal_volume 148 \r\n_journal_year 1999\r\n_journal_page_first 278\r\n_journal_page_last 285\r\n_publ_section_title\r\n;\r\n Possible 3D carbon structures as progressive intermediates in graphite\r\n to diamond phase transition\r\n Note: mathematical model, phase: gra_crbl43_bo\r\n;\r\n_database_code_amcsd 0013982\r\n_chemical_formula_sum 'C'\r\n_chemical_formula_sum ''\r\n_cell_length_a 4.048\r\n_cell_length_b 4.885\r\n_cell_length_c 6.495\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 90\r\n_cell_volume 128.435\r\n_exptl_crystal_density_diffrn      2.485\r\n_symmetry_space_group_name_H-M 'P b a n'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  '1/2+x,1/2-y,z'\r\n  '-x,y,-z'\r\n  '1/2-x,1/2+y,z'\r\n  'x,-y,-z'\r\n  '1/2+x,1/2+y,-z'\r\n  '-x,-y,z'\r\n  '1/2-x,1/2-y,-z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\nC1   0.04600   0.13520   0.25280\r\nC2   0.33790   0.16530   0.14170\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/Pbc2_1.cif",
    "content": "data_global\r\n_chemical_name_mineral 'Baddeleyite'\r\nloop_\r\n_publ_author_name\r\n'Kisi E H'\r\n'Howard C J'\r\n'Hill R J'\r\n_journal_name_full 'Journal of the American Ceramic Society'\r\n_journal_volume 72 \r\n_journal_year 1989\r\n_journal_page_first 1757\r\n_journal_page_last 1760\r\n_publ_section_title\r\n;\r\n Crystal structure of orthorhombic zirconia in partially stabilized zirconia\r\n Note: distorted polymorph of baddeleyite\r\n;\r\n_database_code_amcsd 0014064\r\n_chemical_formula_sum 'Zr O2'\r\n_chemical_formula_sum ''\r\n_cell_length_a 5.068\r\n_cell_length_b 5.260\r\n_cell_length_c 5.077\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 90\r\n_cell_volume 135.341\r\n_exptl_crystal_density_diffrn      6.047\r\n_symmetry_space_group_name_H-M 'P b c 21'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  '-x,1/2+y,z'\r\n  'x,1/2-y,1/2+z'\r\n  '-x,-y,1/2+z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\n_atom_site_U_iso_or_equiv\r\nZr   0.26700   0.03000   0.25000   0.00507\r\nO1   0.06800   0.36100   0.10600   0.01013\r\nO2   0.53700   0.22900   0.00000   0.00253\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/Pbca.cif",
    "content": "data_global\r\n_chemical_name_mineral 'Pararammelsbergite'\r\nloop_\r\n_publ_author_name\r\n'Fleet M E'\r\n_journal_name_full 'American Mineralogist'\r\n_journal_volume 57 \r\n_journal_year 1972\r\n_journal_page_first 1\r\n_journal_page_last 9\r\n_publ_section_title\r\n;\r\n The crystal structure of pararammelsbergite (NiAs2)\r\n;\r\n_database_code_amcsd 0000267\r\n_chemical_formula_sum 'Ni As2'\r\n_chemical_formula_sum ''\r\n_cell_length_a 5.753\r\n_cell_length_b 5.799\r\n_cell_length_c 11.407\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 90\r\n_cell_volume 380.556\r\n_exptl_crystal_density_diffrn      7.279\r\n_symmetry_space_group_name_H-M 'P b c a'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  'x,1/2-y,1/2+z'\r\n  '-x,1/2+y,1/2-z'\r\n  '1/2-x,1/2+y,z'\r\n  '1/2+x,1/2-y,-z'\r\n  '1/2+x,y,1/2-z'\r\n  '1/2-x,-y,1/2+z'\r\n  '-x,-y,-z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\nNi   0.99700   0.17550   0.37170\r\nAs1   0.11960   0.05470   0.18090\r\nAs2   0.36640   0.30840   0.43080\r\nloop_\r\n_atom_site_aniso_label\r\n_atom_site_aniso_U_11\r\n_atom_site_aniso_U_22\r\n_atom_site_aniso_U_33\r\n_atom_site_aniso_U_12\r\n_atom_site_aniso_U_13\r\n_atom_site_aniso_U_23\r\nNi 0.00494 0.00101 0.00152 0.00000 0.00000 0.00000\r\nAs1 0.00583 0.00076 0.00228 0.00000 0.00000 0.00000\r\nAs2 0.00709 0.00127 0.00266 0.00000 0.00000 0.00000\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/Pbcm.cif",
    "content": "data_global\r\n_chemical_name_mineral 'Massicot'\r\nloop_\r\n_publ_author_name\r\n'Hill R J'\r\n_journal_name_full 'Acta Crystallographica, Section C'\r\n_journal_volume 41 \r\n_journal_year 1985\r\n_journal_page_first 1281\r\n_journal_page_last 1284\r\n_publ_section_title\r\n;\r\n Refinement of the structure of orthorhombic PbO (massicot) by\r\n Rietveld analysis of neutron powder diffraction data\r\n;\r\n_database_code_amcsd 0010011\r\n_chemical_compound_source 'synthetic: Merck \"pro analyse\" (batch number 0093820)'\r\n_chemical_formula_sum 'Pb O'\r\n_chemical_formula_sum ''\r\n_cell_length_a 5.8931\r\n_cell_length_b 5.4904\r\n_cell_length_c 4.7528\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 90\r\n_cell_volume 153.779\r\n_exptl_crystal_density_diffrn      9.641\r\n_symmetry_space_group_name_H-M 'P b c m'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  'x,1/2-y,1/2+z'\r\n  '-x,1/2+y,1/2-z'\r\n  '-x,1/2+y,z'\r\n  'x,1/2-y,-z'\r\n  'x,y,1/2-z'\r\n  '-x,-y,1/2+z'\r\n  '-x,-y,-z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\n_atom_site_U_iso_or_equiv\r\nPb   0.22970  -0.01160   0.25000   0.01355\r\nO  -0.13470   0.09170   0.25000   0.01444\r\nloop_\r\n_atom_site_aniso_label\r\n_atom_site_aniso_U_11\r\n_atom_site_aniso_U_22\r\n_atom_site_aniso_U_33\r\n_atom_site_aniso_U_12\r\n_atom_site_aniso_U_13\r\n_atom_site_aniso_U_23\r\nPb 0.01513 0.01329 0.01224 -0.00229 0.00000 0.00000\r\nO 0.01619 0.01665 0.01053 -0.00016 0.00000 0.00000\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/Pbcn.cif",
    "content": "data_global\r\n_chemical_name_mineral 'Seifertite'\r\nloop_\r\n_publ_author_name\r\n'Dera P'\r\n'Prewitt C T'\r\n'Boctor N Z'\r\n'Hemley R J'\r\n_journal_name_full 'American Mineralogist'\r\n_journal_volume 87 \r\n_journal_year 2002\r\n_journal_page_first 1018\r\n_journal_page_last 1023\r\n_publ_section_title\r\n;\r\n Characterization of a high-pressure phase of silica from the\r\n Martian meteorite Shergotty\r\n alpha-PbO2-like\r\n;\r\n_database_code_amcsd 0002871\r\n_chemical_formula_sum 'Si O2'\r\n_chemical_formula_sum ''\r\n_cell_length_a 4.097\r\n_cell_length_b 5.0462\r\n_cell_length_c 4.4946\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 90\r\n_cell_volume 92.923\r\n_exptl_crystal_density_diffrn      4.295\r\n_symmetry_space_group_name_H-M 'P b c n'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  'x,-y,1/2+z'\r\n  '-x,y,1/2-z'\r\n  '1/2-x,1/2+y,z'\r\n  '1/2+x,1/2-y,-z'\r\n  '1/2+x,1/2+y,1/2-z'\r\n  '1/2-x,1/2-y,1/2+z'\r\n  '-x,-y,-z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\n_atom_site_U_iso_or_equiv\r\nSi   0.00000   0.15220   0.25000   0.01013\r\nO   0.73360   0.62450   0.91860   0.00127\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/Pbma.cif",
    "content": "data_global\r\n_amcsd_formula_title 'PbO'\r\nloop_\r\n_publ_author_name\r\n'Wyckoff R W G'\r\n_journal_name_full 'Crystal Structures'\r\n_journal_volume 1 \r\n_journal_year 1963\r\n_journal_page_first 85\r\n_journal_page_last 237\r\n_publ_section_title\r\n;\r\n Second edition. Interscience Publishers, New York, New York\r\n Sample known as yellow plumbous oxide\r\n;\r\n_database_code_amcsd 0011638\r\n_chemical_formula_sum 'Pb O'\r\n_chemical_formula_sum ''\r\n_cell_length_a 5.891\r\n_cell_length_b 4.775\r\n_cell_length_c 5.489\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 90\r\n_cell_volume 154.403\r\n_exptl_crystal_density_diffrn      9.602\r\n_symmetry_space_group_name_H-M 'P b m a'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  '1/2-x,1/2+y,z'\r\n  '1/2+x,1/2-y,-z'\r\n  '1/2+x,y,-z'\r\n  '1/2-x,-y,z'\r\n  'x,1/2-y,z'\r\n  '-x,1/2+y,-z'\r\n  '-x,-y,-z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\nPb  -0.02080   0.25000   0.23090\r\nO   0.08860   0.25000  -0.13090\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/Pbmn.cif",
    "content": "data_global\r\n_chemical_name_mineral 'Eriochalcite'\r\nloop_\r\n_publ_author_name\r\n'Harker D'\r\n_journal_name_full 'Zeitschrift fur Kristallographie'\r\n_journal_volume 93 \r\n_journal_year 1936\r\n_journal_page_first 136\r\n_journal_page_last 145\r\n_publ_section_title\r\n;\r\n The Crystal Structure of Cupric Chloride Dihydrate Cu Cl2 (H2 O)2\r\n _cod_database_code 1011014\r\n;\r\n_database_code_amcsd 0017922\r\n_chemical_formula_sum 'Cu O2 Cl2'\r\n_chemical_formula_sum ''\r\n_cell_length_a 7.38\r\n_cell_length_b 8.04\r\n_cell_length_c 3.72\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 90\r\n_cell_volume 220.727\r\n_exptl_crystal_density_diffrn      2.504\r\n_symmetry_space_group_name_H-M 'P b m n'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  '1/2+x,1/2+y,-z'\r\n  '1/2-x,1/2-y,z'\r\n  'x,-y,z'\r\n  '-x,y,-z'\r\n  '1/2-x,1/2+y,z'\r\n  '1/2+x,1/2-y,-z'\r\n  '-x,-y,-z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\nCu1   0.00000   0.00000   0.00000\r\nO1   0.00000   0.25000   0.00000\r\nCl1   0.25000   0.00000   0.37000\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/Pbn2_1.cif",
    "content": "data_global\r\n_chemical_name_mineral 'Stibiotantalite'\r\nloop_\r\n_publ_author_name\r\n'Dihlstrom K'\r\n_journal_name_full 'Zeitschrift fur Anorganische und Allgemeine Chemie'\r\n_journal_volume 239 \r\n_journal_year 1938\r\n_journal_page_first 57\r\n_journal_page_last 64\r\n_publ_section_title\r\n;\r\n Uber den bau des wahren antimontetroxyds und des damit isomorphen\r\n stibiotantalits, SbTaO4\r\n;\r\n_database_code_amcsd 0015749\r\n_chemical_compound_source 'Grande Mesa, California, USA'\r\n_chemical_formula_sum 'Sb Ta O4'\r\n_chemical_formula_sum ''\r\n_cell_length_a 4.916\r\n_cell_length_b 5.542\r\n_cell_length_c 11.78\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 90\r\n_cell_volume 320.940\r\n_exptl_crystal_density_diffrn      7.589\r\n_symmetry_space_group_name_H-M 'P b n 21'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  '1/2-x,1/2+y,z'\r\n  '1/2+x,1/2-y,1/2+z'\r\n  '-x,-y,1/2+z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\nSb  -0.04000   0.00000   0.00000\r\nTa   0.00000   0.37500   0.25000\r\nO1   0.16000   0.33000   0.09000\r\nO2   0.75000   0.12000   0.17000\r\nO3   0.25000   0.12000   0.33000\r\nO4   0.84000   0.33000   0.41000\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/Pbnm.cif",
    "content": "data_global\r\n_chemical_name_mineral 'Montroseite'\r\nloop_\r\n_publ_author_name\r\n'Evans H T'\r\n'Mrose M E'\r\n_journal_name_full 'American Mineralogist'\r\n_journal_volume 40 \r\n_journal_year 1955\r\n_journal_page_first 861\r\n_journal_page_last 875\r\n_publ_section_title\r\n;\r\n A crystal chemical study of montroseite and paramontroseite.\r\n;\r\n_database_code_amcsd 0000073\r\n_chemical_formula_sum 'V (O2 H)'\r\n_chemical_formula_sum ''\r\n_cell_length_a 4.54\r\n_cell_length_b 9.97\r\n_cell_length_c 3.03\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 90\r\n_cell_volume 137.149\r\n_exptl_crystal_density_diffrn      4.066\r\n_symmetry_space_group_name_H-M 'P b n m'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  'x,y,1/2-z'\r\n  '-x,-y,1/2+z'\r\n  '1/2+x,1/2-y,1/2+z'\r\n  '1/2-x,1/2+y,1/2-z'\r\n  '1/2-x,1/2+y,z'\r\n  '1/2+x,1/2-y,-z'\r\n  '-x,-y,-z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\n_atom_site_U_iso_or_equiv\r\nV  -0.05170   0.14550   0.25000   0.00405\r\nO-H1   0.30100  -0.19700   0.25000   0.00405\r\nO2  -0.19800  -0.05400   0.25000   0.00405\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/Pbnn.cif",
    "content": "data_global\r\n_amcsd_formula_title 'Cr Na2 O4'\r\nloop_\r\n_publ_author_name\r\n'Miller J'\r\n_journal_name_full 'Zeitschrift fur Kristallographie'\r\n_journal_volume 94 \r\n_journal_year 1936\r\n_journal_page_first 131\r\n_journal_page_last 136\r\n_publ_section_title\r\n;\r\n The crystal structure of anhydrous sodium chromate, Na2 Cr O4\r\n _cod_database_code 1010023\r\n;\r\n_database_code_amcsd 0016962\r\n_chemical_formula_sum 'Na2 Cr O4'\r\n_chemical_formula_sum ''\r\n_cell_length_a 5.91\r\n_cell_length_b 9.23\r\n_cell_length_c 7.2\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 90\r\n_cell_volume 392.755\r\n_exptl_crystal_density_diffrn      2.739\r\n_symmetry_space_group_name_H-M 'P b n n'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  '1/2+x,1/2+y,1/2-z'\r\n  '1/2-x,1/2-y,1/2+z'\r\n  '1/2+x,-y,1/2+z'\r\n  '1/2-x,y,1/2-z'\r\n  '-x,1/2+y,z'\r\n  'x,1/2-y,-z'\r\n  '-x,-y,-z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\nNa1   0.25000   0.45000   0.25000\r\nNa2  -0.25000   0.25000   0.00000\r\nCr1   0.25000   0.09720   0.25000\r\nO1   0.02780   0.20000   0.25000\r\nO2   0.25000   0.00000   0.06940\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/Pca2_1.cif",
    "content": "data_global\r\n_chemical_name_mineral 'Cobaltite'\r\nloop_\r\n_publ_author_name\r\n'Giese R F'\r\n'Kerr P F'\r\n_journal_name_full 'American Mineralogist'\r\n_journal_volume 50 \r\n_journal_year 1965\r\n_journal_page_first 1002\r\n_journal_page_last 1014\r\n_publ_section_title\r\n;\r\n The crystal structures of ordered and disordered cobaltite\r\n ordered, annealed after heating in a vacuum at 450 C\r\n;\r\n_database_code_amcsd 0000137\r\n_chemical_formula_sum 'Co As S'\r\n_chemical_formula_sum ''\r\n_cell_length_a 5.582\r\n_cell_length_b 5.582\r\n_cell_length_c 5.582\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 90\r\n_cell_volume 173.928\r\n_exptl_crystal_density_diffrn      6.336\r\n_symmetry_space_group_name_H-M 'P c a 21'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  '1/2+x,-y,z'\r\n  '1/2-x,y,1/2+z'\r\n  '-x,-y,1/2+z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\nCo  -0.01000   0.00600   0.01100\r\nAs   0.38000   0.38100   0.38300\r\nS  -0.38000   0.38000  -0.38200\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/Pcab.cif",
    "content": "data_global\r\n_chemical_name_mineral 'Tellurite'\r\nloop_\r\n_publ_author_name\r\n'Ito T'\r\n'Sawada H'\r\n_journal_name_full 'Zeitschrift fur Kristallographie'\r\n_journal_volume 102 \r\n_journal_year 1940\r\n_journal_page_first 13\r\n_journal_page_last 25\r\n_publ_section_title\r\n;\r\n The crystal structure of tellurite (Te O2)\r\n _cod_database_code 1011183\r\n;\r\n_database_code_amcsd 0018058\r\n_chemical_formula_sum 'Te O2'\r\n_chemical_formula_sum ''\r\n_cell_length_a 5.5\r\n_cell_length_b 11.75\r\n_cell_length_c 5.59\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 90\r\n_cell_volume 361.254\r\n_exptl_crystal_density_diffrn      5.869\r\n_symmetry_space_group_name_H-M 'P c a b'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  'x,1/2+y,1/2-z'\r\n  '-x,1/2-y,1/2+z'\r\n  '1/2-x,y,1/2+z'\r\n  '1/2+x,-y,1/2-z'\r\n  '1/2+x,1/2-y,z'\r\n  '1/2-x,1/2+y,-z'\r\n  '-x,-y,-z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\nTe1   0.02750   0.11830  -0.11560\r\nO1   0.24000  -0.02200   0.23500\r\nO2   0.16400   0.17400   0.53500\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/Pcam.cif",
    "content": "data_global\r\n_amcsd_formula_title 'B Na O5 U'\r\nloop_\r\n_publ_author_name\r\n'Gasperin M'\r\n_journal_name_full 'Acta Crystallographica, Section C'\r\n_journal_volume 44 \r\n_journal_year 1988\r\n_journal_page_first 415\r\n_journal_page_last 416\r\n_publ_section_title\r\n;\r\n Synthese et structure du borouranate de sodium, Na B U O5.\r\n _cod_database_code 1001359\r\n;\r\n_database_code_amcsd 0010067\r\n_chemical_formula_sum 'U Na B O5'\r\n_chemical_formula_sum ''\r\n_cell_length_a 10.712\r\n_cell_length_b 5.780\r\n_cell_length_c 6.862\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 90\r\n_cell_volume 424.863\r\n_exptl_crystal_density_diffrn      5.500\r\n_symmetry_space_group_name_H-M 'P c a m'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  '1/2-x,y,1/2+z'\r\n  '1/2+x,-y,1/2-z'\r\n  '1/2+x,-y,z'\r\n  '1/2-x,y,-z'\r\n  'x,y,1/2-z'\r\n  '-x,-y,1/2+z'\r\n  '-x,-y,-z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\nU1   0.06740   0.09790   0.25000\r\nNa1   0.25000   0.59990   0.00000\r\nB1   0.85190   0.79670   0.25000\r\nO1   0.41230   0.12880   0.41730\r\nO2   0.66820   0.15280   0.25000\r\nO3   0.24260   0.31850   0.25000\r\nO4   0.46490   0.65440   0.25000\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/Pcca.cif",
    "content": "data_global\r\n_chemical_name_mineral 'Graphite'\r\nloop_\r\n_publ_author_name\r\n'Fayos J'\r\n_journal_name_full 'Journal of Solid State Chemistry'\r\n_journal_volume 148 \r\n_journal_year 1999\r\n_journal_page_first 278\r\n_journal_page_last 285\r\n_publ_section_title\r\n;\r\n Possible 3D carbon structures as progressive intermediates in graphite\r\n to diamond phase transition\r\n Note: mathematical model, phase: gra_crbl43_ch\r\n;\r\n_database_code_amcsd 0013981\r\n_chemical_formula_sum 'C'\r\n_chemical_formula_sum ''\r\n_cell_length_a 4.700\r\n_cell_length_b 5.978\r\n_cell_length_c 4.448\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 90\r\n_cell_volume 124.974\r\n_exptl_crystal_density_diffrn      2.553\r\n_symmetry_space_group_name_H-M 'P c c a'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  'x,-y,1/2+z'\r\n  '-x,y,1/2-z'\r\n  '1/2-x,y,1/2+z'\r\n  '1/2+x,-y,1/2-z'\r\n  '1/2+x,y,-z'\r\n  '1/2-x,-y,z'\r\n  '-x,-y,-z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\nC1   0.36130   0.24690   0.15890\r\nC2   0.16140   0.12970   0.33570\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/Pccn.cif",
    "content": "data_global\r\n_chemical_name_mineral 'Valentinite'\r\nloop_\r\n_publ_author_name\r\n'Buerger M J'\r\n_journal_name_full 'American Mineralogist'\r\n_journal_volume 21 \r\n_journal_year 1936\r\n_journal_page_first 206\r\n_journal_page_last 207\r\n_publ_section_title\r\n;\r\n The crystal structure of valentinite\r\n;\r\n_database_code_amcsd 0000015\r\n_chemical_formula_sum 'Sb2 O3'\r\n_chemical_formula_sum ''\r\n_cell_length_a 4.92\r\n_cell_length_b 12.46\r\n_cell_length_c 5.42\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 90\r\n_cell_volume 332.263\r\n_exptl_crystal_density_diffrn      5.827\r\n_symmetry_space_group_name_H-M 'P c c n'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  'x,1/2-y,1/2+z'\r\n  '-x,1/2+y,1/2-z'\r\n  '1/2-x,y,1/2+z'\r\n  '1/2+x,-y,1/2-z'\r\n  '1/2+x,1/2+y,-z'\r\n  '1/2-x,1/2-y,z'\r\n  '-x,-y,-z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\nSb   0.12150   0.20700   0.17500\r\nO1   0.25000   0.25000  -0.07500\r\nO2  -0.11000   0.15600   0.17500\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/Pcmb.cif",
    "content": "data_global\r\n_amcsd_formula_title 'K N S'\r\nloop_\r\n_publ_author_name\r\n'Klug H'\r\n_journal_name_full 'Zeitschrift fur Kristallographie'\r\n_journal_volume 85 \r\n_journal_year 1933\r\n_journal_page_first 214\r\n_journal_page_last 222\r\n_publ_section_title\r\n;\r\n The crystal structure of potassium thiocyanate\r\n _cod_database_code 1010625\r\n;\r\n_database_code_amcsd 0017507\r\n_chemical_formula_sum 'K N C S'\r\n_chemical_formula_sum ''\r\n_cell_length_a 6.66\r\n_cell_length_b 7.58\r\n_cell_length_c 6.635\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 90\r\n_cell_volume 334.953\r\n_exptl_crystal_density_diffrn      1.927\r\n_symmetry_space_group_name_H-M 'P c m b'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  'x,1/2+y,1/2-z'\r\n  '-x,1/2-y,1/2+z'\r\n  '-x,y,1/2+z'\r\n  'x,-y,1/2-z'\r\n  'x,1/2-y,z'\r\n  '-x,1/2+y,-z'\r\n  '-x,-y,-z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\nK1   0.21200   0.00000   0.75000\r\nN1   0.08000   0.25000   0.40000\r\nC1   0.20500   0.25000   0.28000\r\nS1   0.38500   0.25000   0.09500\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/Pcmn.cif",
    "content": "data_global\r\n_chemical_name_mineral 'Cubanite'\r\nloop_\r\n_publ_author_name\r\n'Buerger M J'\r\n_journal_name_full 'American Mineralogist'\r\n_journal_volume 32 \r\n_journal_year 1947\r\n_journal_page_first 415\r\n_journal_page_last 425\r\n_publ_section_title\r\n;\r\n The crystal structure of cubanite\r\n;\r\n_database_code_amcsd 0000042\r\n_chemical_formula_sum 'Fe2 Cu S3'\r\n_chemical_formula_sum ''\r\n_cell_length_a 6.463\r\n_cell_length_b 11.117\r\n_cell_length_c 6.234\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 90\r\n_cell_volume 447.908\r\n_exptl_crystal_density_diffrn      4.025\r\n_symmetry_space_group_name_H-M 'P c m n'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  'x,1/2-y,z'\r\n  '-x,1/2+y,-z'\r\n  '1/2+x,1/2+y,1/2-z'\r\n  '1/2-x,1/2-y,1/2+z'\r\n  '1/2-x,y,1/2+z'\r\n  '1/2+x,-y,1/2-z'\r\n  '-x,-y,-z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\nFe   0.08330   0.08300   0.13500\r\nCu   0.58330   0.25000   0.12200\r\nS1   0.91670   0.25000   0.27000\r\nS2   0.41670   0.08300   0.26500\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/Pcnb.cif",
    "content": "data_global\r\n_chemical_name_mineral 'Haidingerite'\r\nloop_\r\n_publ_author_name\r\n'Ferraris G'\r\n'Jones D W'\r\n'Yerkess J'\r\n_journal_name_full 'Acta Crystallographica, Section B'\r\n_journal_volume 28 \r\n_journal_year 1972\r\n_journal_page_first 209\r\n_journal_page_last 214\r\n_publ_section_title\r\n;\r\n A neutron and X-ray refinement of the crystal structure of CaHAsO4*H2O (haidingerite)\r\n Sample: X-ray refinement\r\n;\r\n_database_code_amcsd 0009421\r\n_chemical_compound_source 'Synthetic'\r\n_chemical_formula_sum 'Ca As O5 H2'\r\n_chemical_formula_sum ''\r\n_cell_length_a 6.904\r\n_cell_length_b 16.161\r\n_cell_length_c 7.935\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 90\r\n_cell_volume 885.352\r\n_exptl_crystal_density_diffrn      2.956\r\n_symmetry_space_group_name_H-M 'P c n b'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  'x,1/2+y,-z'\r\n  '-x,1/2-y,z'\r\n  '1/2-x,y,1/2+z'\r\n  '1/2+x,-y,1/2-z'\r\n  '1/2+x,1/2-y,1/2+z'\r\n  '1/2-x,1/2+y,1/2-z'\r\n  '-x,-y,-z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\nCa   0.62630   0.04760   0.18410\r\nAs   0.12830   0.10900   0.05890\r\nO1   0.22490   0.20070   0.14280\r\nO2  -0.04130   0.07440   0.19090\r\nO3   0.05470   0.13240  -0.13360\r\nO4   0.30050   0.03650   0.05490\r\nWat   0.62390   0.16030  -0.00640\r\nloop_\r\n_atom_site_aniso_label\r\n_atom_site_aniso_U_11\r\n_atom_site_aniso_U_22\r\n_atom_site_aniso_U_33\r\n_atom_site_aniso_U_12\r\n_atom_site_aniso_U_13\r\n_atom_site_aniso_U_23\r\nCa 0.02026 0.02432 0.02090 0.00051 -0.00253 0.00494\r\nAs 0.01735 0.00000 0.01140 0.01773 0.01469 0.00051\r\nO1 0.04509 0.01457 0.02482 0.00988 -0.01887 -0.00405\r\nO2 0.01659 0.02191 0.02255 -0.00608 0.00317 -0.01368\r\nO3 0.03838 0.02280 0.02077 -0.00418 0.01659 0.00051\r\nO4 0.02584 0.02102 0.03002 0.01634 -0.00063 -0.00456\r\nWat 0.03546 0.01393 0.02216 -0.01077 -0.01684 -0.00355\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/Pm.cif",
    "content": "data_global\r\n_amcsd_formula_title 'SiO2'\r\nloop_\r\n_publ_author_name\r\n'Boisen M B'\r\n'Gibbs G V'\r\n'Bukowinski M S T'\r\n_journal_name_full 'Physics and Chemistry of Minerals'\r\n_journal_volume 21 \r\n_journal_year 1994\r\n_journal_page_first 269\r\n_journal_page_last 284\r\n_publ_section_title\r\n;\r\n Framework silica structures generated using simulated annealing\r\n with a potential energy function based on an H6Si2O7 molecule\r\n Sample: 19\r\n;\r\n_database_code_amcsd 0007884\r\n_chemical_formula_sum 'Si O2'\r\n_chemical_formula_sum ''\r\n_cell_length_a 4.7082\r\n_cell_length_b 5.5282\r\n_cell_length_c 5.0064\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 107.8346\r\n_cell_angle_gamma 90\r\n_cell_volume 124.044\r\n_exptl_crystal_density_diffrn      3.217\r\n_symmetry_space_group_name_H-M 'P 1 m 1'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  'x,-y,z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\nSi1   0.00000   0.50000   0.00000\r\nSi2   0.53662   0.50000   0.53762\r\nSi3   0.95079   0.00000   0.21653\r\nSi4   0.54481   0.00000   0.55830\r\nO1   0.30313   0.00000   0.25680\r\nO2   0.46696   0.74682   0.68687\r\nO3   0.90747   0.50000   0.65132\r\nO4   0.82996   0.25443   0.05792\r\nO5   0.87559   0.00000   0.51469\r\nO6   0.35985   0.50000   0.19218\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/Pm3m.cif",
    "content": "data_global\r\n_chemical_name_mineral 'Isoferroplatinum'\r\nloop_\r\n_publ_author_name\r\n'Cabri L J'\r\n'Feather C E'\r\n_journal_name_full 'The Canadian Mineralogist'\r\n_journal_volume 13 \r\n_journal_year 1975\r\n_journal_page_first 117\r\n_journal_page_last 126\r\n_publ_section_title\r\n;\r\n Platinum-iron alloys: a nomenclature based on a\r\n study of natural and synthetic alloys\r\n;\r\n_database_code_amcsd 0005108\r\n_chemical_compound_source 'Tulameen River, British Columbia, Canada'\r\n_chemical_formula_sum 'Fe Pt3'\r\n_chemical_formula_sum ''\r\n_cell_length_a 3.864\r\n_cell_length_b 3.864\r\n_cell_length_c 3.864\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 90\r\n_cell_volume 57.691\r\n_exptl_crystal_density_diffrn     18.452\r\n_symmetry_space_group_name_H-M 'P m 3 m'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  'z,-x,y'\r\n  '-y,z,-x'\r\n  'x,-y,z'\r\n  '-z,x,-y'\r\n  'y,-z,x'\r\n  '-x,y,-z'\r\n  'x,-z,-y'\r\n  '-z,y,x'\r\n  'y,-x,-z'\r\n  '-x,z,y'\r\n  'z,-y,-x'\r\n  '-y,x,z'\r\n  'x,z,y'\r\n  '-z,-y,-x'\r\n  'y,x,z'\r\n  '-x,-z,-y'\r\n  'z,y,x'\r\n  '-y,-x,-z'\r\n  'z,x,-y'\r\n  '-y,-z,x'\r\n  'x,y,-z'\r\n  '-z,-x,y'\r\n  'y,z,-x'\r\n  '-x,-y,z'\r\n  '-z,x,y'\r\n  'y,-z,-x'\r\n  '-x,y,z'\r\n  'z,-x,-y'\r\n  '-y,z,x'\r\n  'x,-y,-z'\r\n  '-x,z,-y'\r\n  'z,-y,x'\r\n  '-y,x,-z'\r\n  'x,-z,y'\r\n  '-z,y,-x'\r\n  'y,-x,z'\r\n  '-x,-z,y'\r\n  'z,y,-x'\r\n  '-y,-x,z'\r\n  'x,z,-y'\r\n  '-z,-y,x'\r\n  'y,x,-z'\r\n  '-z,-x,-y'\r\n  'y,z,x'\r\n  '-x,-y,-z'\r\n  'z,x,y'\r\n  '-y,-z,-x'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\nFe   0.00000   0.00000   0.00000\r\nPt   0.00000   0.50000   0.50000\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/Pm3n.cif",
    "content": "data_global\r\n_chemical_name_mineral 'Tungsten'\r\nloop_\r\n_publ_author_name\r\n'Wyckoff R W G'\r\n_journal_name_full 'Crystal Structures'\r\n_journal_volume 1 \r\n_journal_year 1963\r\n_journal_page_first 7\r\n_journal_page_last 83\r\n_publ_section_title\r\n;\r\n Second edition. Interscience Publishers, New York, New York\r\n Sample is formed when certain tungstates are electrolyzed\r\n;\r\n_database_code_amcsd 0011261\r\n_chemical_formula_sum 'W'\r\n_chemical_formula_sum ''\r\n_cell_length_a 5.083\r\n_cell_length_b 5.083\r\n_cell_length_c 5.083\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 90\r\n_cell_volume 131.329\r\n_exptl_crystal_density_diffrn     18.597\r\n_symmetry_space_group_name_H-M 'P m 3 n'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  'z,-x,y'\r\n  '-y,z,-x'\r\n  'x,-y,z'\r\n  '-z,x,-y'\r\n  'y,-z,x'\r\n  '-x,y,-z'\r\n  '1/2+x,1/2-z,1/2-y'\r\n  '1/2-z,1/2+y,1/2+x'\r\n  '1/2+y,1/2-x,1/2-z'\r\n  '1/2-x,1/2+z,1/2+y'\r\n  '1/2+z,1/2-y,1/2-x'\r\n  '1/2-y,1/2+x,1/2+z'\r\n  '1/2+x,1/2+z,1/2+y'\r\n  '1/2-z,1/2-y,1/2-x'\r\n  '1/2+y,1/2+x,1/2+z'\r\n  '1/2-x,1/2-z,1/2-y'\r\n  '1/2+z,1/2+y,1/2+x'\r\n  '1/2-y,1/2-x,1/2-z'\r\n  'z,x,-y'\r\n  '-y,-z,x'\r\n  'x,y,-z'\r\n  '-z,-x,y'\r\n  'y,z,-x'\r\n  '-x,-y,z'\r\n  '-z,x,y'\r\n  'y,-z,-x'\r\n  '-x,y,z'\r\n  'z,-x,-y'\r\n  '-y,z,x'\r\n  'x,-y,-z'\r\n  '1/2-x,1/2+z,1/2-y'\r\n  '1/2+z,1/2-y,1/2+x'\r\n  '1/2-y,1/2+x,1/2-z'\r\n  '1/2+x,1/2-z,1/2+y'\r\n  '1/2-z,1/2+y,1/2-x'\r\n  '1/2+y,1/2-x,1/2+z'\r\n  '1/2-x,1/2-z,1/2+y'\r\n  '1/2+z,1/2+y,1/2-x'\r\n  '1/2-y,1/2-x,1/2+z'\r\n  '1/2+x,1/2+z,1/2-y'\r\n  '1/2-z,1/2-y,1/2+x'\r\n  '1/2+y,1/2+x,1/2-z'\r\n  '-z,-x,-y'\r\n  'y,z,x'\r\n  '-x,-y,-z'\r\n  'z,x,y'\r\n  '-y,-z,-x'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\nW1   0.00000   0.00000   0.00000\r\nW2   0.00000   0.50000   0.25000\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/Pma2.cif",
    "content": "data_global\r\n_chemical_name_mineral 'Krennerite'\r\nloop_\r\n_publ_author_name\r\n'Tunell G'\r\n'Ksanda C'\r\n_journal_name_full 'Journal of the Washington Academy of Sciences'\r\n_journal_volume 26 \r\n_journal_year 1936\r\n_journal_page_first 507\r\n_journal_page_last 527\r\n_publ_section_title\r\n;\r\n The crystal structure of krennerite\r\n _cod_database_code 1011091\r\n;\r\n_database_code_amcsd 0017987\r\n_chemical_formula_sum 'Au Te2'\r\n_chemical_formula_sum ''\r\n_cell_length_a 16.51\r\n_cell_length_b 8.80\r\n_cell_length_c 4.45\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 90\r\n_cell_volume 646.532\r\n_exptl_crystal_density_diffrn      9.291\r\n_symmetry_space_group_name_H-M 'P m a 2'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  '1/2+x,-y,z'\r\n  '1/2-x,y,z'\r\n  '-x,-y,z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\nAu1   0.00000   0.00000   0.00000\r\nAu2   0.25000   0.32000   0.01000\r\nAu3   0.12000   0.67000   0.50000\r\nTe1   0.25000   0.03000   0.04000\r\nTe2   0.25000   0.63000   0.04000\r\nTe3   0.00000   0.30000   0.04000\r\nTe4   0.13000   0.37000   0.50000\r\nTe5   0.12000   0.97000   0.50000\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/Pmab.cif",
    "content": "data_global\r\n_amcsd_formula_title 'Mn3O4'\r\nloop_\r\n_publ_author_name\r\n'Ross C R'\r\n'Rubie D C'\r\n'Paris E'\r\n_journal_name_full 'American Mineralogist'\r\n_journal_volume 75 \r\n_journal_year 1990\r\n_journal_page_first 1249\r\n_journal_page_last 1252\r\n_publ_section_title\r\n;\r\n Rietveld refinement of the high-pressure polymorph of Mn3O4\r\n;\r\n_database_code_amcsd 0001332\r\n_chemical_formula_sum 'Mn3 O4'\r\n_chemical_formula_sum ''\r\n_cell_length_a 9.5564\r\n_cell_length_b 9.7996\r\n_cell_length_c 3.0240\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 90\r\n_cell_volume 283.194\r\n_exptl_crystal_density_diffrn      5.367\r\n_symmetry_space_group_name_H-M 'P m a b'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  '1/2+x,1/2-y,z'\r\n  '1/2-x,1/2+y,-z'\r\n  'x,1/2+y,-z'\r\n  '-x,1/2-y,z'\r\n  '1/2-x,y,z'\r\n  '1/2+x,-y,-z'\r\n  '-x,-y,-z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\n_atom_site_U_iso_or_equiv\r\nMn2+   0.75000   0.14610   0.68450   0.00697\r\nMn3+   0.06960   0.11470   0.20340   0.00317\r\nO1   0.00000   0.25000   0.62040   0.00228\r\nO2   0.25000   0.19990   0.18990   0.00228\r\nO3   0.11120   0.96940   0.79560   0.00228\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/Pman.cif",
    "content": "data_global\r\n_amcsd_formula_title 'F2 H5 N'\r\nloop_\r\n_publ_author_name\r\n'Pauling L'\r\n_journal_name_full 'Zeitschrift fur Kristallographie'\r\n_journal_volume 85 \r\n_journal_year 1933\r\n_journal_page_first 380\r\n_journal_page_last 391\r\n_publ_section_title\r\n;\r\n The crystal structure of ammonium hydrogen fluoride N H4 H F2\r\n _cod_database_code 1010616\r\n;\r\n_database_code_amcsd 0017498\r\n_chemical_formula_sum 'N F2'\r\n_chemical_formula_sum ''\r\n_cell_length_a 8.33\r\n_cell_length_b 8.14\r\n_cell_length_c 3.68\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 90\r\n_cell_volume 249.527\r\n_exptl_crystal_density_diffrn      1.384\r\n_symmetry_space_group_name_H-M 'P m a n'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  '1/2+x,1/2+y,-z'\r\n  '1/2-x,1/2-y,z'\r\n  '-x,y,z'\r\n  'x,-y,-z'\r\n  '1/2+x,1/2-y,z'\r\n  '1/2-x,1/2+y,-z'\r\n  '-x,-y,-z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\nN1   0.25000   0.25000   0.56000\r\nF1   0.14200   0.00000   0.00000\r\nF2   0.50000   0.13200   0.13500\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/Pmc2_1.cif",
    "content": "data_global\r\n_chemical_name_mineral 'Stromeyerite'\r\nloop_\r\n_publ_author_name\r\n'Baker C L'\r\n'Lincoln F J'\r\n'Johnson A W S'\r\n_journal_name_full 'Acta Crystallographica, Section B'\r\n_journal_volume 47 \r\n_journal_year 1991\r\n_journal_page_first 891\r\n_journal_page_last 899\r\n_publ_section_title\r\n;\r\n A low-temperature structural phase transformation in CuAgS\r\n Sample: T = 120 K\r\n Note: dimorphic with stromeyerite\r\n;\r\n_database_code_amcsd 0009856\r\n_chemical_compound_source 'Gowganda, Ontario, Canada'\r\n_chemical_formula_sum 'Cu Ag S'\r\n_chemical_formula_sum ''\r\n_cell_length_a 4.0470\r\n_cell_length_b 6.5920\r\n_cell_length_c 7.9300\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 90\r\n_cell_volume 211.555\r\n_exptl_crystal_density_diffrn      6.389\r\n_symmetry_space_group_name_H-M 'P m c 21'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  'x,-y,1/2+z'\r\n  '-x,y,z'\r\n  '-x,-y,1/2+z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\nCu1   0.00000   0.56740   0.72970\r\nCu2   0.50000   0.06630   0.74240\r\nAg1   0.00000  -0.05600   0.50000\r\nAg2   0.50000   0.44020   0.97280\r\nS1   0.00000   0.21610   0.72150\r\nS2   0.50000   0.71330   0.75940\r\nloop_\r\n_atom_site_aniso_label\r\n_atom_site_aniso_U_11\r\n_atom_site_aniso_U_22\r\n_atom_site_aniso_U_33\r\n_atom_site_aniso_U_12\r\n_atom_site_aniso_U_13\r\n_atom_site_aniso_U_23\r\nCu1 0.00550 0.01070 0.01220 0.00000 0.00000 0.00130\r\nCu2 0.00580 0.00880 0.00940 0.00000 0.00000 0.00060\r\nAg1 0.01030 0.03220 0.01170 0.00000 0.00000 -0.01380\r\nAg2 0.01380 0.02330 0.00770 0.00000 0.00000 0.00370\r\nS1 0.00380 0.00580 0.00850 0.00000 0.00000 0.00020\r\nS2 0.00560 0.00730 0.00920 0.00000 0.00000 -0.00090\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/Pmcn.cif",
    "content": "data_global\r\n_chemical_name_mineral 'Aragonite'\r\nloop_\r\n_publ_author_name\r\n'de Villiers J P R'\r\n_journal_name_full 'American Mineralogist'\r\n_journal_volume 56 \r\n_journal_year 1971\r\n_journal_page_first 758\r\n_journal_page_last 767\r\n_publ_section_title\r\n;\r\n Crystal structures of aragonite, strontianite, and witherite\r\n;\r\n_database_code_amcsd 0000233\r\n_chemical_formula_sum 'Ca C O3'\r\n_chemical_formula_sum ''\r\n_cell_length_a 4.9614\r\n_cell_length_b 7.9671\r\n_cell_length_c 5.7404\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 90\r\n_cell_volume 226.906\r\n_exptl_crystal_density_diffrn      2.930\r\n_symmetry_space_group_name_H-M 'P m c n'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  '1/2-x,y,z'\r\n  '1/2+x,-y,-z'\r\n  '1/2+x,1/2+y,1/2-z'\r\n  '1/2-x,1/2-y,1/2+z'\r\n  'x,1/2-y,1/2+z'\r\n  '-x,1/2+y,1/2-z'\r\n  '-x,-y,-z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\nCa   0.25000   0.41500   0.75970\r\nC   0.25000   0.76220  -0.08620\r\nO1   0.25000   0.92250  -0.09620\r\nO2   0.47360   0.68100  -0.08620\r\nloop_\r\n_atom_site_aniso_label\r\n_atom_site_aniso_U_11\r\n_atom_site_aniso_U_22\r\n_atom_site_aniso_U_33\r\n_atom_site_aniso_U_12\r\n_atom_site_aniso_U_13\r\n_atom_site_aniso_U_23\r\nCa 0.00773 0.00675 0.01052 0.00000 0.00000 0.00023\r\nC 0.00811 0.00868 0.00417 0.00000 0.00000 -0.00139\r\nO1 0.01521 0.00900 0.01436 0.00000 0.00000 -0.00255\r\nO2 0.00661 0.01351 0.01152 0.00160 -0.00014 -0.00695\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/Pmm2.cif",
    "content": "data_global\r\n_chemical_name_mineral 'Dyscrasite'\r\nloop_\r\n_publ_author_name\r\n'Scott J D'\r\n_journal_name_full 'The Canadian Mineralogist'\r\n_journal_volume 14 \r\n_journal_year 1976\r\n_journal_page_first 139\r\n_journal_page_last 142\r\n_publ_section_title\r\n;\r\n Refinement of the crystal structure of dyscrasite, and its implications\r\n for the structure of allargentum\r\n;\r\n_database_code_amcsd 0005121\r\n_chemical_formula_sum 'Sb Ag3'\r\n_chemical_formula_sum ''\r\n_cell_length_a 3.008\r\n_cell_length_b 4.828\r\n_cell_length_c 5.214\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 90\r\n_cell_volume 75.721\r\n_exptl_crystal_density_diffrn      9.766\r\n_symmetry_space_group_name_H-M 'P m m 2'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  'x,-y,z'\r\n  '-x,y,z'\r\n  '-x,-y,z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\nSb   0.00000   0.00000  -0.02488\r\nAg1   0.50000   0.00000   0.50000\r\nAg2   0.00000   0.50000   0.64808\r\nAg3   0.50000   0.50000   0.16016\r\nloop_\r\n_atom_site_aniso_label\r\n_atom_site_aniso_U_11\r\n_atom_site_aniso_U_22\r\n_atom_site_aniso_U_33\r\n_atom_site_aniso_U_12\r\n_atom_site_aniso_U_13\r\n_atom_site_aniso_U_23\r\nSb 0.01728 0.01039 0.01363 0.00000 0.00000 0.00000\r\nAg1 0.03832 0.03247 0.00372 0.00000 0.00000 0.00000\r\nAg2 0.00770 0.01724 0.01157 0.00000 0.00000 0.00000\r\nAg3 0.04171 0.00744 0.01584 0.00000 0.00000 0.00000\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/Pmma.cif",
    "content": "data_global\r\n_chemical_name_mineral 'Valleriite'\r\nloop_\r\n_publ_author_name\r\n'Hiller J'\r\n_journal_name_full 'Zeitschrift fur Kristallographie'\r\n_journal_volume 101 \r\n_journal_year 1939\r\n_journal_page_first 425\r\n_journal_page_last 434\r\n_publ_section_title\r\n;\r\n Zur Kristallstruktur des Valleriits\r\n _cod_database_code 1011125\r\n;\r\n_database_code_amcsd 0018019\r\n_chemical_formula_sum 'S7 Fe4 Cu2'\r\n_chemical_formula_sum ''\r\n_cell_length_a 6.13\r\n_cell_length_b 9.81\r\n_cell_length_c 11.4\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 90\r\n_cell_volume 685.542\r\n_exptl_crystal_density_diffrn      2.785\r\n_symmetry_space_group_name_H-M 'P m m a'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  'x,-y,z'\r\n  '-x,y,-z'\r\n  '1/2-x,y,z'\r\n  '1/2+x,-y,-z'\r\n  '1/2+x,y,-z'\r\n  '1/2-x,-y,z'\r\n  '-x,-y,-z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\nS1   0.25000   0.25000   0.10000\r\nS2   0.25000   0.50000  -0.10000\r\nS3   0.25000   0.00000  -0.10000\r\nS4   0.25000   0.16670  -0.41670\r\nS5   0.25000   0.50000   0.41670\r\nFe1   0.06250   0.37500   0.22220\r\nCu1   0.02780   0.00000   0.25000\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/Pmmm.cif",
    "content": "data_global\r\n_chemical_name_mineral 'Macedonite'\r\nloop_\r\n_publ_author_name\r\n'Cole S'\r\n'Espenschied H'\r\n_journal_name_full 'Journal of Physical Chemistry'\r\n_journal_volume 41 \r\n_journal_year 1937\r\n_journal_page_first 445\r\n_journal_page_last 451\r\n_publ_section_title\r\n;\r\n Lead titanate: crystal structure, temperature of formation, and\r\n specific gravity data\r\n _cod_database_code 1011028\r\n;\r\n_database_code_amcsd 0017934\r\n_chemical_formula_sum 'Pb Ti O3'\r\n_chemical_formula_sum ''\r\n_cell_length_a 4.000\r\n_cell_length_b 4.211\r\n_cell_length_c 3.875\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 90\r\n_cell_volume 65.271\r\n_exptl_crystal_density_diffrn      7.711\r\n_symmetry_space_group_name_H-M 'P m m m'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  'x,-y,z'\r\n  '-x,y,-z'\r\n  '-x,y,z'\r\n  'x,-y,-z'\r\n  'x,y,-z'\r\n  '-x,-y,z'\r\n  '-x,-y,-z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\nPb1   0.00000   0.00000   0.00000\r\nTi1   0.50000   0.50000   0.50000\r\nO1   0.50000   0.50000   0.00000\r\nO2   0.50000   0.00000   0.50000\r\nO3   0.00000   0.50000   0.50000\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/Pmmn.cif",
    "content": "data_global\r\n_chemical_name_mineral 'Vulcanite'\r\nloop_\r\n_publ_author_name\r\n'Baranova R V'\r\n'Pinsker Z G'\r\n_journal_name_full 'Soviet Physics Crystallography'\r\n_journal_volume 9 \r\n_journal_year 1964\r\n_journal_page_first 83\r\n_journal_page_last 85\r\n_publ_section_title\r\n;\r\n Study of the copper-tellurium system in thin films\r\n;\r\n_database_code_amcsd 0015547\r\n_chemical_compound_source 'Synthetic'\r\n_chemical_formula_sum 'Cu Te'\r\n_chemical_formula_sum ''\r\n_cell_length_a 3.10\r\n_cell_length_b 4.02\r\n_cell_length_c 6.86\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 90\r\n_cell_volume 85.489\r\n_exptl_crystal_density_diffrn      7.426\r\n_symmetry_space_group_name_H-M 'P m m n'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  'x,-y,z'\r\n  '1/2-x,1/2+y,-z'\r\n  '-x,y,z'\r\n  '1/2+x,1/2-y,-z'\r\n  '1/2+x,1/2+y,-z'\r\n  '-x,-y,z'\r\n  '1/2-x,1/2-y,-z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\nCu   0.00000   0.50000   0.44900\r\nTe   0.00000   0.00000   0.22300\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/Pmn2_1.cif",
    "content": "data_global\r\n_chemical_name_mineral 'Shcherbinaite'\r\nloop_\r\n_publ_author_name\r\n'Ketelaar J'\r\n_journal_name_full 'Zeitschrift fur Kristallographie'\r\n_journal_volume 95 \r\n_journal_year 1936\r\n_journal_page_first 9\r\n_journal_page_last 27\r\n_publ_section_title\r\n;\r\n Die Kristallstruktur des Vanadinpentoxyds\r\n _cod_database_code 1011126\r\n;\r\n_database_code_amcsd 0018020\r\n_chemical_formula_sum 'V2 O5'\r\n_chemical_formula_sum ''\r\n_cell_length_a 11.48\r\n_cell_length_b 4.360\r\n_cell_length_c 3.550\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 90\r\n_cell_volume 177.687\r\n_exptl_crystal_density_diffrn      3.399\r\n_symmetry_space_group_name_H-M 'P m n 21'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  '1/2+x,-y,1/2+z'\r\n  '-x,y,z'\r\n  '1/2-x,-y,1/2+z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\nV1   0.14800   0.09700   0.00000\r\nO1   0.14800   0.45000   0.92000\r\nO2   0.20000   0.03000   0.46000\r\nO3   0.00000   0.08000   0.89000\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/Pmna.cif",
    "content": "data_global\r\n_amcsd_formula_title 'Fe Nb Te2'\r\nloop_\r\n_publ_author_name\r\n'Li J'\r\n'Badding M'\r\n'DiSalvo F'\r\n_journal_name_full 'Inorganic Chemistry'\r\n_journal_volume 31 \r\n_journal_year 1992\r\n_journal_page_first 1050\r\n_journal_page_last 1054\r\n_publ_section_title\r\n;\r\n New layered ternary niobium tellurides: synthesis, structure and\r\n properties of NbMTe2 (M=Fe, Co)\r\n _cod_database_code 1005004\r\n;\r\n_database_code_amcsd 0012702\r\n_chemical_formula_sum 'Nb Fe Te2'\r\n_chemical_formula_sum ''\r\n_cell_length_a 7.922\r\n_cell_length_b 7.239\r\n_cell_length_c 6.243\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 90\r\n_cell_volume 358.020\r\n_exptl_crystal_density_diffrn      7.494\r\n_symmetry_space_group_name_H-M 'P m n a'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  '1/2+x,-y,1/2+z'\r\n  '1/2-x,y,1/2-z'\r\n  '-x,y,z'\r\n  'x,-y,-z'\r\n  '1/2+x,y,1/2-z'\r\n  '1/2-x,-y,1/2+z'\r\n  '-x,-y,-z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\nNb1   0.79810   0.50000   0.00000\r\nFe1   0.00000   0.38360   0.64650\r\nTe1   0.75000   0.18080   0.75000\r\nTe2   0.00000   0.72570   0.75080\r\nloop_\r\n_atom_site_aniso_label\r\n_atom_site_aniso_U_11\r\n_atom_site_aniso_U_22\r\n_atom_site_aniso_U_33\r\n_atom_site_aniso_U_12\r\n_atom_site_aniso_U_13\r\n_atom_site_aniso_U_23\r\nNb1 0.01700 0.02800 0.02300 0.00000 0.00000 -0.00800\r\nFe1 0.01700 0.02500 0.01900 0.00000 0.00000 -0.00200\r\nTe1 0.01700 0.01900 0.01900 0.00000 0.00300 0.00000\r\nTe2 0.03400 0.02400 0.01600 0.00000 0.00000 0.00300\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/Pmnb.cif",
    "content": "data_global\r\n_amcsd_formula_title 'Br2 Pb'\r\nloop_\r\n_publ_author_name\r\n'Nieuwenkamp W'\r\n'Bijvoet J'\r\n_journal_name_full 'Zeitschrift fur Kristallographie'\r\n_journal_volume 84 \r\n_journal_year 1932\r\n_journal_page_first 49\r\n_journal_page_last 61\r\n_publ_section_title\r\n;\r\n Die Kristallstruktur von Bleibromid Pb Br2\r\n _cod_database_code 1010619\r\n;\r\n_database_code_amcsd 0017501\r\n_chemical_formula_sum 'Pb Br2'\r\n_chemical_formula_sum ''\r\n_cell_length_a 4.71\r\n_cell_length_b 8.02\r\n_cell_length_c 9.48\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 90\r\n_cell_volume 358.099\r\n_exptl_crystal_density_diffrn     13.615\r\n_symmetry_space_group_name_H-M 'P m n b'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  '1/2-x,y,z'\r\n  '1/2+x,-y,-z'\r\n  '1/2+x,1/2-y,1/2+z'\r\n  '1/2-x,1/2+y,1/2-z'\r\n  'x,1/2+y,1/2-z'\r\n  '-x,1/2-y,1/2+z'\r\n  '-x,-y,-z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\nPb1   0.00000   0.01500   0.08700\r\nBr1   0.00000   0.61000   0.07500\r\nBr2   0.00000   0.23000  -0.17000\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/Pmnm.cif",
    "content": "data_global\r\n_amcsd_formula_title 'Cl Fe O'\r\nloop_\r\n_publ_author_name\r\n'Goldsztaub M'\r\n_journal_name_full 'Bulletin de la Societe Francaise de Mineralogie'\r\n_journal_volume 58 \r\n_journal_year 1935\r\n_journal_page_first 6\r\n_journal_page_last 6\r\n_publ_section_title\r\n;\r\n Etude de quelques derives de l'oxyde ferrique (FeO*OH, FeO^2^Na, FeOCl)\r\n determination de leurs structures.\r\n _cod_database_code 1010645\r\n;\r\n_database_code_amcsd 0017526\r\n_chemical_formula_sum 'Fe Cl O'\r\n_chemical_formula_sum ''\r\n_cell_length_a 3.75\r\n_cell_length_b 7.65\r\n_cell_length_c 3.3\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 90\r\n_cell_volume 94.669\r\n_exptl_crystal_density_diffrn      3.764\r\n_symmetry_space_group_name_H-M 'P m n m'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  '-x,y,z'\r\n  '1/2+x,-y,1/2-z'\r\n  'x,y,-z'\r\n  '1/2-x,-y,1/2+z'\r\n  '1/2+x,-y,1/2+z'\r\n  '-x,y,-z'\r\n  '1/2-x,-y,1/2-z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\nFe1   0.00000   0.09700   0.50000\r\nCl1   0.00000   0.30500   0.00000\r\nO1   0.00000  -0.08300   0.00000\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/Pmnn.cif",
    "content": "data_global\r\n_chemical_name_mineral 'Marcasite'\r\nloop_\r\n_publ_author_name\r\n'Buerger M J'\r\n_journal_name_full 'American Mineralogist'\r\n_journal_volume 16 \r\n_journal_year 1931\r\n_journal_page_first 361\r\n_journal_page_last 395\r\n_publ_section_title\r\n;\r\n The crystal structure of marcasite\r\n;\r\n_database_code_amcsd 0000008\r\n_chemical_compound_source 'Joplin, Missouri, USA'\r\n_chemical_formula_sum 'Fe S2'\r\n_chemical_formula_sum ''\r\n_cell_length_a 3.37\r\n_cell_length_b 4.44\r\n_cell_length_c 5.39\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 90\r\n_cell_volume 80.649\r\n_exptl_crystal_density_diffrn      4.941\r\n_symmetry_space_group_name_H-M 'P m n n'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  '1/2+x,1/2+y,1/2-z'\r\n  '1/2-x,1/2-y,1/2+z'\r\n  '1/2+x,1/2-y,1/2+z'\r\n  '1/2-x,1/2+y,1/2-z'\r\n  '-x,y,z'\r\n  'x,-y,-z'\r\n  '-x,-y,-z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\nFe   0.00000   0.00000   0.00000\r\nS   0.00000   0.20300   0.37500\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/Pn2_1m.cif",
    "content": "data_global\r\n_chemical_name_mineral 'Costibite'\r\nloop_\r\n_publ_author_name\r\n'Rowland J F'\r\n'Gabe E J'\r\n'Hall S R'\r\n_journal_name_full 'The Canadian Mineralogist'\r\n_journal_volume 13 \r\n_journal_year 1975\r\n_journal_page_first 188\r\n_journal_page_last 196\r\n_publ_section_title\r\n;\r\n The crystal structures of costibite (CoSbS) and paracostibite(CoSbS)\r\n;\r\n_database_code_amcsd 0005114\r\n_chemical_formula_sum 'Co Sb S'\r\n_chemical_formula_sum ''\r\n_cell_length_a 4.873\r\n_cell_length_b 5.852\r\n_cell_length_c 3.608\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 90\r\n_cell_volume 102.889\r\n_exptl_crystal_density_diffrn      6.867\r\n_symmetry_space_group_name_H-M 'P n 21 m'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  '-x,1/2+y,1/2+z'\r\n  'x,y,-z'\r\n  '-x,1/2+y,1/2-z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\nCo   0.28060   0.00000   0.00000\r\nSb   0.04120   0.37400   0.00000\r\nS   0.45400   0.63370   0.00000\r\nloop_\r\n_atom_site_aniso_label\r\n_atom_site_aniso_U_11\r\n_atom_site_aniso_U_22\r\n_atom_site_aniso_U_33\r\n_atom_site_aniso_U_12\r\n_atom_site_aniso_U_13\r\n_atom_site_aniso_U_23\r\nCo 0.00690 0.00540 0.00450 -0.00030 0.00000 0.00000\r\nSb 0.00680 0.00540 0.00450 -0.00050 0.00000 0.00000\r\nS 0.00680 0.00490 0.00350 -0.00030 0.00000 0.00000\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/Pn3m.cif",
    "content": "data_global\r\n_chemical_name_mineral 'Cuprite'\r\nloop_\r\n_publ_author_name\r\n'Kirfel A'\r\n'Eichhorn K'\r\n_journal_name_full 'Acta Crystallographica, Section A'\r\n_journal_volume 46 \r\n_journal_year 1990\r\n_journal_page_first 271\r\n_journal_page_last 284\r\n_publ_section_title\r\n;\r\n Accurate structure analysis with synchrotron radiation.\r\n The electron density in Al2O3 and Cu2O\r\n Note: Atomic parameters were mislabeled in the publication.\r\n They have been fixed in this dataset.\r\n;\r\n_database_code_amcsd 0009326\r\n_chemical_compound_source 'Synthetic'\r\n_chemical_formula_sum 'Cu2 O'\r\n_chemical_formula_sum ''\r\n_cell_length_a 4.2685\r\n_cell_length_b 4.2685\r\n_cell_length_c 4.2685\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 90\r\n_cell_volume 77.772\r\n_exptl_crystal_density_diffrn      6.110\r\n_symmetry_space_group_name_H-M 'P n 3 m'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  '1/2+z,1/2-x,1/2+y'\r\n  '-y,z,-x'\r\n  '1/2+x,1/2-y,1/2+z'\r\n  '-z,x,-y'\r\n  '1/2+y,1/2-z,1/2+x'\r\n  '-x,y,-z'\r\n  'x,-z,-y'\r\n  '1/2-z,1/2+y,1/2+x'\r\n  'y,-x,-z'\r\n  '1/2-x,1/2+z,1/2+y'\r\n  'z,-y,-x'\r\n  '1/2-y,1/2+x,1/2+z'\r\n  'x,z,y'\r\n  '1/2-z,1/2-y,1/2-x'\r\n  'y,x,z'\r\n  '1/2-x,1/2-z,1/2-y'\r\n  'z,y,x'\r\n  '1/2-y,1/2-x,1/2-z'\r\n  '1/2+z,1/2+x,1/2-y'\r\n  '-y,-z,x'\r\n  '1/2+x,1/2+y,1/2-z'\r\n  '-z,-x,y'\r\n  '1/2+y,1/2+z,1/2-x'\r\n  '-x,-y,z'\r\n  '1/2-z,1/2+x,1/2+y'\r\n  'y,-z,-x'\r\n  '1/2-x,1/2+y,1/2+z'\r\n  'z,-x,-y'\r\n  '1/2-y,1/2+z,1/2+x'\r\n  'x,-y,-z'\r\n  '-x,z,-y'\r\n  '1/2+z,1/2-y,1/2+x'\r\n  '-y,x,-z'\r\n  '1/2+x,1/2-z,1/2+y'\r\n  '-z,y,-x'\r\n  '1/2+y,1/2-x,1/2+z'\r\n  '-x,-z,y'\r\n  '1/2+z,1/2+y,1/2-x'\r\n  '-y,-x,z'\r\n  '1/2+x,1/2+z,1/2-y'\r\n  '-z,-y,x'\r\n  '1/2+y,1/2+x,1/2-z'\r\n  '1/2-z,1/2-x,1/2-y'\r\n  'y,z,x'\r\n  '1/2-x,1/2-y,1/2-z'\r\n  'z,x,y'\r\n  '1/2-y,1/2-z,1/2-x'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\nCu   0.25000   0.25000   0.25000\r\nO   0.00000   0.00000   0.00000\r\nloop_\r\n_atom_site_aniso_label\r\n_atom_site_aniso_U_11\r\n_atom_site_aniso_U_22\r\n_atom_site_aniso_U_33\r\n_atom_site_aniso_U_12\r\n_atom_site_aniso_U_13\r\n_atom_site_aniso_U_23\r\nCu 0.01900 0.01900 0.01900 -0.00084 -0.00084 -0.00084\r\nO 0.01880 0.01880 0.01880 0.00000 0.00000 0.00000\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/Pna2_1.cif",
    "content": "data_global\r\n_chemical_name_mineral 'Modderite'\r\nloop_\r\n_publ_author_name\r\n'Lyman P S'\r\n'Prewitt C T'\r\n_journal_name_full 'Acta Crystallographica, Section B'\r\n_journal_volume 40 \r\n_journal_year 1984\r\n_journal_page_first 14\r\n_journal_page_last 20\r\n_publ_section_title\r\n;\r\n Room- and high-pressure crystal chemistry of CoAs and FeAs\r\n Note: anisoB's taken from ICSD\r\n Sample: Pna2_1 refinement, P = .0001 GPa\r\n;\r\n_database_code_amcsd 0009792\r\n_chemical_compound_source 'Synthetic'\r\n_chemical_formula_sum 'Co As'\r\n_chemical_formula_sum ''\r\n_cell_length_a 5.2857\r\n_cell_length_b 5.8675\r\n_cell_length_c 3.4883\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 90\r\n_cell_volume 108.186\r\n_exptl_crystal_density_diffrn      8.218\r\n_symmetry_space_group_name_H-M 'P n a 21'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  '1/2+x,1/2-y,z'\r\n  '1/2-x,1/2+y,1/2+z'\r\n  '-x,-y,1/2+z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\nCo   0.00200   0.20030   0.25000\r\nAs   0.19960   0.58670   0.25060\r\nloop_\r\n_atom_site_aniso_label\r\n_atom_site_aniso_U_11\r\n_atom_site_aniso_U_22\r\n_atom_site_aniso_U_33\r\n_atom_site_aniso_U_12\r\n_atom_site_aniso_U_13\r\n_atom_site_aniso_U_23\r\nCo 0.00410 0.00890 0.00425 0.00016 -0.00374 0.00000\r\nAs 0.00481 0.00785 0.00197 0.00047 0.00037 0.00000\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/Pnam.cif",
    "content": "data_global\r\n_chemical_name_mineral 'Modderite'\r\nloop_\r\n_publ_author_name\r\n'Lyman P S'\r\n'Prewitt C T'\r\n_journal_name_full 'Acta Crystallographica, Section B'\r\n_journal_volume 40 \r\n_journal_year 1984\r\n_journal_page_first 14\r\n_journal_page_last 20\r\n_publ_section_title\r\n;\r\n Room- and high-pressure crystal chemistry of CoAs and FeAs\r\n Note: anisoB's taken from ICSD\r\n Sample: Pnam refinement, P = .0001 GPa\r\n;\r\n_database_code_amcsd 0009791\r\n_chemical_compound_source 'Synthetic'\r\n_chemical_formula_sum 'Co As'\r\n_chemical_formula_sum ''\r\n_cell_length_a 5.2857\r\n_cell_length_b 5.8675\r\n_cell_length_c 3.4883\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 90\r\n_cell_volume 108.186\r\n_exptl_crystal_density_diffrn      8.218\r\n_symmetry_space_group_name_H-M 'P n a m'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  'x,y,1/2-z'\r\n  '-x,-y,1/2+z'\r\n  '1/2-x,1/2+y,1/2+z'\r\n  '1/2+x,1/2-y,1/2-z'\r\n  '1/2+x,1/2-y,z'\r\n  '1/2-x,1/2+y,-z'\r\n  '-x,-y,-z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\nCo   0.00200   0.20020   0.25000\r\nAs   0.19960   0.58670   0.25000\r\nloop_\r\n_atom_site_aniso_label\r\n_atom_site_aniso_U_11\r\n_atom_site_aniso_U_22\r\n_atom_site_aniso_U_33\r\n_atom_site_aniso_U_12\r\n_atom_site_aniso_U_13\r\n_atom_site_aniso_U_23\r\nCo 0.00425 0.00872 0.00432 0.00016 0.00000 0.00000\r\nAs 0.00495 0.00785 0.00185 0.00063 0.00000 0.00000\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/Pnca.cif",
    "content": "data_global\r\n_chemical_name_mineral 'Pucherite'\r\nloop_\r\n_publ_author_name\r\n'Qurashi M M'\r\n'Barnes W H'\r\n_journal_name_full 'American Mineralogist'\r\n_journal_volume 38 \r\n_journal_year 1953\r\n_journal_page_first 489\r\n_journal_page_last 500\r\n_publ_section_title\r\n;\r\n The structure of pucherite, BiVO4\r\n;\r\n_database_code_amcsd 0000057\r\n_chemical_formula_sum 'Bi V O4'\r\n_chemical_formula_sum ''\r\n_cell_length_a 5.332\r\n_cell_length_b 5.060\r\n_cell_length_c 12.020\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 90\r\n_cell_volume 324.299\r\n_exptl_crystal_density_diffrn      6.634\r\n_symmetry_space_group_name_H-M 'P n c a'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  '1/2+x,y,-z'\r\n  '1/2-x,-y,z'\r\n  'x,1/2-y,1/2+z'\r\n  '-x,1/2+y,1/2-z'\r\n  '1/2-x,1/2+y,1/2+z'\r\n  '1/2+x,1/2-y,1/2-z'\r\n  '-x,-y,-z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\n_atom_site_U_iso_or_equiv\r\nBi   0.25000   0.00000   0.10970   0.01646\r\nV   0.25000   0.00000   0.39380   0.01646\r\nO1  -0.05250  -0.22920   0.03160   0.01646\r\nO2  -0.03000   0.34980   0.19550   0.01646\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/Pncn.cif",
    "content": "data_global\r\n_amcsd_formula_title 'LiSbO3'\r\nloop_\r\n_publ_author_name\r\n'Fourquet J'\r\n'Gillet P'\r\n'Le Bail A'\r\n_journal_name_full 'Materials Research Bulletin'\r\n_journal_volume 24 \r\n_journal_year 1989\r\n_journal_page_first 1207\r\n_journal_page_last 1214\r\n_publ_section_title\r\n;\r\n Li/H topotactic exchange on LiSbO3: The series Li(1-x)HxSbO3 (0<=x<=1).\r\n _cod_database_code 1000141\r\n;\r\n_database_code_amcsd 0014342\r\n_chemical_formula_sum 'Li Sb O3'\r\n_chemical_formula_sum ''\r\n_cell_length_a 4.9005\r\n_cell_length_b 8.4892\r\n_cell_length_c 5.1816\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 90\r\n_cell_volume 215.561\r\n_exptl_crystal_density_diffrn      5.444\r\n_symmetry_space_group_name_H-M 'P n c n'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  '1/2-x,1/2+y,1/2+z'\r\n  '1/2+x,1/2-y,1/2-z'\r\n  '1/2+x,1/2+y,-z'\r\n  '1/2-x,1/2-y,z'\r\n  'x,-y,1/2+z'\r\n  '-x,y,1/2-z'\r\n  '-x,-y,-z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\nLi   0.00000   0.69900   0.25000\r\nSb   0.00000   0.09550   0.25000\r\nO1   0.25000   0.25000   0.40900\r\nO2   0.20600   0.08500   0.92400\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/Pnm2_1.cif",
    "content": "data_global\r\n_chemical_name_mineral 'Enargite'\r\nloop_\r\n_publ_author_name\r\n'Pauling L'\r\n'Weinbaum S'\r\n_journal_name_full 'Zeitschrift fur Kristallographie'\r\n_journal_volume 88 \r\n_journal_year 1934\r\n_journal_page_first 48\r\n_journal_page_last 53\r\n_publ_section_title\r\n;\r\n The crystal structure of enargite, Cu3AsS4\r\n;\r\n_database_code_amcsd 0010518\r\n_chemical_compound_source 'Philippine Islands'\r\n_chemical_formula_sum 'Cu3 As S4'\r\n_chemical_formula_sum ''\r\n_cell_length_a 6.46\r\n_cell_length_b 7.43\r\n_cell_length_c 6.18\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 90\r\n_cell_volume 296.626\r\n_exptl_crystal_density_diffrn      4.409\r\n_symmetry_space_group_name_H-M 'P n m 21'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  '-x,1/2+y,1/2+z'\r\n  'x,-y,z'\r\n  '-x,1/2-y,1/2+z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\nCu1   0.16500   0.00000   0.50000\r\nCu2   0.33300   0.24500   0.99000\r\nAs   0.82000   0.00000   0.00000\r\nS1   0.83000   0.00000   0.36000\r\nS2   0.14000   0.00000   0.87500\r\nS3   0.33000   0.25500   0.36700\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/Pnma.cif",
    "content": "data_global\r\n_chemical_name_mineral 'Ramsdellite'\r\nloop_\r\n_publ_author_name\r\n'Post J E'\r\n'Heaney P J'\r\n_journal_name_full 'American Mineralogist'\r\n_journal_volume 89 \r\n_journal_year 2004\r\n_journal_page_first 969\r\n_journal_page_last 975\r\n_publ_section_title\r\n;\r\n Neutron and synchrotron X-ray diffraction study of the structures\r\n and dehydration behaviors of ramsdellite and \"groutellite\"\r\n;\r\n_database_code_amcsd 0003565\r\n_chemical_formula_sum 'Mn O2'\r\n_chemical_formula_sum ''\r\n_cell_length_a 9.2734\r\n_cell_length_b 2.8638\r\n_cell_length_c 4.5219\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 90\r\n_cell_volume 120.089\r\n_exptl_crystal_density_diffrn      4.809\r\n_symmetry_space_group_name_H-M 'P n m a'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  'x,1/2-y,z'\r\n  '-x,1/2+y,-z'\r\n  '1/2-x,1/2+y,1/2+z'\r\n  '1/2+x,1/2-y,1/2-z'\r\n  '1/2+x,y,1/2-z'\r\n  '1/2-x,-y,1/2+z'\r\n  '-x,-y,-z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\n_atom_site_U_iso_or_equiv\r\nMn   0.13320   0.25000   0.02580   0.00210\r\nO1   0.96550   0.25000   0.78380   0.00410\r\nO2   0.27960   0.25000   0.32010   0.00340\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/Pnmn.cif",
    "content": "data_global\r\n_amcsd_formula_title 'Cl2 Pd'\r\nloop_\r\n_publ_author_name\r\n'Wells A'\r\n_journal_name_full 'Zeitschrift fur Kristallographie'\r\n_journal_volume 100 \r\n_journal_year 1938\r\n_journal_page_first 189\r\n_journal_page_last 194\r\n_publ_section_title\r\n;\r\n The Crystal Structure of Palladous Chloride Pd Cl2\r\n _cod_database_code 1010447\r\n;\r\n_database_code_amcsd 0017368\r\n_chemical_formula_sum 'Pd Cl2'\r\n_chemical_formula_sum ''\r\n_cell_length_a 3.81\r\n_cell_length_b 3.34\r\n_cell_length_c 11.\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 90\r\n_cell_volume 139.979\r\n_exptl_crystal_density_diffrn      4.207\r\n_symmetry_space_group_name_H-M 'P n m n'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  '1/2-x,1/2+y,1/2+z'\r\n  '1/2+x,1/2-y,1/2-z'\r\n  '1/2+x,1/2+y,1/2-z'\r\n  '1/2-x,1/2-y,1/2+z'\r\n  'x,-y,z'\r\n  '-x,y,-z'\r\n  '-x,-y,-z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\nPd1   0.00000   0.50000   0.00000\r\nCl1   0.17300   0.00000   0.13200\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/Pnn2.cif",
    "content": "data_global\r\n_chemical_name_mineral 'Seinajokite'\r\nloop_\r\n_publ_author_name\r\n'Holseth H'\r\n'Kjekshus A'\r\n_journal_name_full 'Acta Chemica Scandinavica'\r\n_journal_volume 23 \r\n_journal_year 1969\r\n_journal_page_first 3043\r\n_journal_page_last 3050\r\n_publ_section_title\r\n;\r\n Compounds with the marcasite type crystal structure\r\n IV. The crystal structure of FeSb2\r\n Note: Powder X-ray diffractometer with strip charts\r\n;\r\n_database_code_amcsd 0011919\r\n_chemical_compound_source 'Synthetic'\r\n_chemical_formula_sum 'Fe Sb2'\r\n_chemical_formula_sum ''\r\n_cell_length_a 5.8328\r\n_cell_length_b 6.5376\r\n_cell_length_c 3.1973\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 90\r\n_cell_volume 121.921\r\n_exptl_crystal_density_diffrn      8.154\r\n_symmetry_space_group_name_H-M 'P n n 2'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  '1/2+x,1/2-y,1/2+z'\r\n  '1/2-x,1/2+y,1/2+z'\r\n  '-x,-y,z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\n_atom_site_U_iso_or_equiv\r\nFe   0.00000   0.00000   0.00000   0.04053\r\nSb   0.18750   0.35790   0.00270   0.03293\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/Pnna.cif",
    "content": "data_global\r\n_amcsd_formula_title 'SbTaO4'\r\nloop_\r\n_publ_author_name\r\n'Jeitschko W'\r\n'Sleight A W'\r\n_journal_name_full 'Acta Crystallographica, Section B'\r\n_journal_volume 30 \r\n_journal_year 1974\r\n_journal_page_first 2088\r\n_journal_page_last 2094\r\n_publ_section_title\r\n;\r\n Alpha stannous tungstate: Properties, crystal structure and relationship to\r\n ferroelectric SbTaO4 type compounds\r\n;\r\n_database_code_amcsd 0009511\r\n_chemical_formula_sum 'Sn W O4'\r\n_chemical_formula_sum ''\r\n_cell_length_a 5.6270\r\n_cell_length_b 11.6486\r\n_cell_length_c 4.9973\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 90\r\n_cell_volume 327.556\r\n_exptl_crystal_density_diffrn      7.433\r\n_symmetry_space_group_name_H-M 'P n n a'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  '1/2+x,1/2-y,1/2+z'\r\n  '1/2-x,1/2+y,1/2-z'\r\n  '-x,1/2+y,1/2+z'\r\n  'x,1/2-y,1/2-z'\r\n  '1/2+x,y,-z'\r\n  '1/2-x,-y,z'\r\n  '-x,-y,-z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\n_atom_site_U_iso_or_equiv\r\nSn   0.25000   0.00000   0.21960 ?\r\nW   0.66770   0.25000   0.25000 ?\r\nO1   0.37650   0.29870   0.99880   0.01127\r\nO2   0.10190   0.39610   0.60370   0.00811\r\nloop_\r\n_atom_site_aniso_label\r\n_atom_site_aniso_U_11\r\n_atom_site_aniso_U_22\r\n_atom_site_aniso_U_33\r\n_atom_site_aniso_U_12\r\n_atom_site_aniso_U_13\r\n_atom_site_aniso_U_23\r\nSn 0.01601 0.01141 0.00712 0.00282 0.00000 0.00000\r\nW 0.00433 0.00516 0.00434 0.00000 -0.00043 0.00000\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/R-3m.cif",
    "content": "data_global\r\n_chemical_name_mineral 'Stibarsen'\r\nloop_\r\n_publ_author_name\r\n'Bayliss P'\r\n_journal_name_full 'American Mineralogist'\r\n_journal_volume 76 \r\n_journal_year 1991\r\n_journal_page_first 257\r\n_journal_page_last 265\r\n_publ_section_title\r\n;\r\n Crystal chemistry and crystallography of some minerals in the tetradymite group\r\n;\r\n_database_code_amcsd 0001345\r\n_chemical_formula_sum 'As Sb'\r\n_chemical_formula_sum ''\r\n_cell_length_a 4.0255\r\n_cell_length_b 4.0255\r\n_cell_length_c 10.837\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 120\r\n_cell_volume 152.083\r\n_exptl_crystal_density_diffrn      6.442\r\n_symmetry_space_group_name_H-M 'R -3 m'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  '2/3+x,1/3+y,1/3+z'\r\n  '1/3+x,2/3+y,2/3+z'\r\n  'x,x-y,z'\r\n  '2/3+x,1/3+x-y,1/3+z'\r\n  '1/3+x,2/3+x-y,2/3+z'\r\n  'y,x,-z'\r\n  '2/3+y,1/3+x,1/3-z'\r\n  '1/3+y,2/3+x,2/3-z'\r\n  '-x+y,y,z'\r\n  '2/3-x+y,1/3+y,1/3+z'\r\n  '1/3-x+y,2/3+y,2/3+z'\r\n  '-x,-x+y,-z'\r\n  '2/3-x,1/3-x+y,1/3-z'\r\n  '1/3-x,2/3-x+y,2/3-z'\r\n  '-y,-x,z'\r\n  '2/3-y,1/3-x,1/3+z'\r\n  '1/3-y,2/3-x,2/3+z'\r\n  'x-y,-y,-z'\r\n  '2/3+x-y,1/3-y,1/3-z'\r\n  '1/3+x-y,2/3-y,2/3-z'\r\n  'y,-x+y,-z'\r\n  '2/3+y,1/3-x+y,1/3-z'\r\n  '1/3+y,2/3-x+y,2/3-z'\r\n  '-x+y,-x,z'\r\n  '2/3-x+y,1/3-x,1/3+z'\r\n  '1/3-x+y,2/3-x,2/3+z'\r\n  '-x,-y,-z'\r\n  '2/3-x,1/3-y,1/3-z'\r\n  '1/3-x,2/3-y,2/3-z'\r\n  '-y,x-y,z'\r\n  '2/3-y,1/3+x-y,1/3+z'\r\n  '1/3-y,2/3+x-y,2/3+z'\r\n  'x-y,x,-z'\r\n  '2/3+x-y,1/3+x,1/3-z'\r\n  '1/3+x-y,2/3+x,2/3-z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\nAs   0.00000   0.00000   0.00000\r\nSb   0.00000   0.00000   0.50000\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/R3.cif",
    "content": "data_global\r\n_amcsd_formula_title 'H12 Mg O9 S'\r\nloop_\r\n_publ_author_name\r\n'Flack H'\r\n_journal_name_full 'Acta Crystallographica, Section B'\r\n_journal_volume 29 \r\n_journal_year 1973\r\n_journal_page_first 656\r\n_journal_page_last 658\r\n_publ_section_title\r\n;\r\n Etude de la structure cristalline du sulfite de magnesium hexahydrate,\r\n Mg S O3 (H2 O)6\r\n _cod_database_code 1100103\r\n;\r\n_database_code_amcsd 0018267\r\n_chemical_formula_sum 'Mg S O9'\r\n_chemical_formula_sum ''\r\n_cell_length_a 8.830\r\n_cell_length_b 8.830\r\n_cell_length_c 9.075\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 120\r\n_cell_volume 612.772\r\n_exptl_crystal_density_diffrn      1.629\r\n_symmetry_space_group_name_H-M 'R 3'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  '2/3+x,1/3+y,1/3+z'\r\n  '1/3+x,2/3+y,2/3+z'\r\n  '-y,x-y,z'\r\n  '2/3-y,1/3+x-y,1/3+z'\r\n  '1/3-y,2/3+x-y,2/3+z'\r\n  '-x+y,-x,z'\r\n  '2/3-x+y,1/3-x,1/3+z'\r\n  '1/3-x+y,2/3-x,2/3+z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\nMg1   0.00000   0.00000   0.00000\r\nS1   0.00000   0.00000   0.50010\r\nO1   0.12710   0.17750   0.43030\r\nO2  -0.19510  -0.19750  -0.12490\r\nO3   0.18450   0.19310   0.13920\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/R3c.cif",
    "content": "data_global\r\n_chemical_name_mineral 'Hematite'\r\nloop_\r\n_publ_author_name\r\n'Pauling L'\r\n'Hendricks S'\r\n_journal_name_full 'Journal of the American Chemical Society'\r\n_journal_volume 47 \r\n_journal_year 1925\r\n_journal_page_first 781\r\n_journal_page_last 790\r\n_publ_section_title\r\n;\r\n The Structure of Hematite\r\n;\r\n_database_code_amcsd 0018106\r\n_chemical_formula_sum 'Fe O3'\r\n_chemical_formula_sum ''\r\n_cell_length_a 5.43\r\n_cell_length_b 5.43\r\n_cell_length_c 5.43\r\n_cell_angle_alpha 55.28\r\n_cell_angle_beta 55.28\r\n_cell_angle_gamma 55.28\r\n_cell_volume 100.792\r\n_exptl_crystal_density_diffrn      3.422\r\n_symmetry_space_group_name_H-M 'R 3 c'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  '1/2+x,1/2+z,1/2+y'\r\n  'z,x,y'\r\n  '1/2+y,1/2+x,1/2+z'\r\n  'y,z,x'\r\n  '1/2+z,1/2+y,1/2+x'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\nFe1   0.10500   0.10500   0.10500\r\nO1   0.29200  -0.29200   0.00000\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/cifs/R3m.cif",
    "content": "data_global\r\n_chemical_name_mineral 'Millerite'\r\nloop_\r\n_publ_author_name\r\n'Grice J D'\r\n'Ferguson R B'\r\n_journal_name_full 'The Canadian Mineralogist'\r\n_journal_volume 12 \r\n_journal_year 1974\r\n_journal_page_first 248\r\n_journal_page_last 252\r\n_publ_section_title\r\n;\r\n Crystal structure refinement of millerite (B-NiS)\r\n;\r\n_database_code_amcsd 0005097\r\n_chemical_formula_sum 'Ni S'\r\n_chemical_formula_sum ''\r\n_cell_length_a 9.6071\r\n_cell_length_b 9.6071\r\n_cell_length_c 3.1434\r\n_cell_angle_alpha 90\r\n_cell_angle_beta 90\r\n_cell_angle_gamma 120\r\n_cell_volume 251.255\r\n_exptl_crystal_density_diffrn      5.398\r\n_symmetry_space_group_name_H-M 'R 3 m'\r\nloop_\r\n_space_group_symop_operation_xyz\r\n  'x,y,z'\r\n  '2/3+x,1/3+y,1/3+z'\r\n  '1/3+x,2/3+y,2/3+z'\r\n  'x,x-y,z'\r\n  '2/3+x,1/3+x-y,1/3+z'\r\n  '1/3+x,2/3+x-y,2/3+z'\r\n  '-y,-x,z'\r\n  '2/3-y,1/3-x,1/3+z'\r\n  '1/3-y,2/3-x,2/3+z'\r\n  '-x+y,y,z'\r\n  '2/3-x+y,1/3+y,1/3+z'\r\n  '1/3-x+y,2/3+y,2/3+z'\r\n  '-y,x-y,z'\r\n  '2/3-y,1/3+x-y,1/3+z'\r\n  '1/3-y,2/3+x-y,2/3+z'\r\n  '-x+y,-x,z'\r\n  '2/3-x+y,1/3-x,1/3+z'\r\n  '1/3-x+y,2/3-x,2/3+z'\r\nloop_\r\n_atom_site_label\r\n_atom_site_fract_x\r\n_atom_site_fract_y\r\n_atom_site_fract_z\r\n_atom_site_U_iso_or_equiv\r\nNi   0.91225  -0.91225   0.47546   0.05600\r\nS   0.11224  -0.11224   0.00000   0.06600\r\n"
  },
  {
    "path": "pyxtal/miscellaneous/compatibility.py",
    "content": "from ase.build import molecule\nfrom pymatgen.core import Molecule\nfrom pymatgen.symmetry.analyzer import PointGroupAnalyzer\n\nfrom pyxtal.operations import OperationAnalyzer\nfrom pyxtal.structure import get_wyckoff_symmetry, orientation_in_wyckoff_position, ss_string_from_ops\n\nletters = \"abcdefghijklmnopqrstuvwxyzA\"\n\n\ndef get_ase_mol(molname):\n    \"\"\"convert ase molecule to pymatgen style\"\"\"\n    ase_mol = molecule(molname)\n    pos = ase_mol.get_positions()\n    symbols = ase_mol.get_chemical_symbols()\n    return Molecule(symbols, pos)\n\n\nif __name__ == \"__main__\":\n    # ---------------------------------------------------\n    for name in [\"C60\"]:  # ['H2O', 'CS2' ,'CH4']:\n        mol = get_ase_mol(name)\n        pga = PointGroupAnalyzer(mol)\n\n        # Symmetrize the molecule using pymatgen\n        mol = pga.symmetrize_molecule()[\"sym_mol\"]\n        pga = PointGroupAnalyzer(mol)\n\n        print(name, \" has point group symmetry: \", pga.get_pointgroup())\n\n        # Check if orders of rotation are detected correctly\n        pg = pga.get_pointgroup()\n        for op in pg:\n            opa = OperationAnalyzer(op)\n            if opa.order == \"irrational\" or opa.order > 10:\n                print(opa)\n\n        \"\"\"symm = get_symmetry(mol)\n        opas = []\n        for op in symm:\n            opa = OperationAnalyzer(op)\n            if opa.type == \"rotation\" and opa.order == 3:\n                for op2 in symm:\n                    opa2 = OperationAnalyzer(op2)\n                    if opa2.type == \"rotation\" and opa2.order == 2:\n                        if abs(np.dot(opa.axis, opa2.axis)) < .02:\n                            print(\"=======\")\n                            print(np.dot(opa.axis,opa2.axis))\n                            print(angle(opa.axis,opa2.axis))\n                break\"\"\"\n\n        for sg in range(142, 231):\n            symmetry = get_wyckoff_symmetry(sg, molecular=True)\n            for index in range(1, len(symmetry)):\n                letter = letters[len(symmetry) - 1 - index]\n                ops = symmetry[index][0]\n                allowed = orientation_in_wyckoff_position(mol, sg, index, randomize=True)\n                if allowed is False:\n                    print(\n                        name\n                        + \": found \"\n                        + \"0\"\n                        + \" orientations in \"\n                        + letter\n                        + \" site symm: \"\n                        + ss_string_from_ops(ops, sg)\n                        + \" space group: \"\n                        + str(sg)\n                    )\n                    # for i, op in enumerate(allowed):\n                    #    mo = deepcopy(mol)\n                    #    mo.apply_operation(op)\n                    #    print(mo)\n                    #    filename = 'xyz/' + name + '-' + str(i)+'.xyz'\n                    #    mo.to(fmt='xyz',filename=filename)\n"
  },
  {
    "path": "pyxtal/miscellaneous/create_generators.py",
    "content": "from pandas import DataFrame\n\nfrom pyxtal.crystal import *\n\nfpath = \"point_generators_new.csv\"\nPBC = [0, 0, 0]\n\n\ndef rounded(op):\n    v1 = op.translation_vector\n    v2 = v1 - np.floor(v1)\n    if PBC == [1, 1, 1]:\n        return SymmOp.from_rotation_and_translation(op.rotation_matrix, v2)\n    elif PBC == [1, 1, 0]:\n        return SymmOp.from_rotation_and_translation(op.rotation_matrix, [v2[0], v2[1], v1[2]])\n    elif PBC == [0, 0, 1]:\n        return SymmOp.from_rotation_and_translation(op.rotation_matrix, [v1[0], v1[1], v2[2]])\n    elif PBC == [0, 0, 0]:\n        return op\n    return None\n\n\nprint(\"-------------------Creating generators-------------------\")\ngenerators = [None]\n# Loop over spacegroups\nfor sg in range(1, 33):\n    print(\"Calculating spacegroup: \" + str(sg))\n    sg_gen = []\n    wyckoffs = get_point(sg)\n    gen_pos = wyckoffs[0]\n    if gen_pos == []:\n        print(wyckoffs)\n    # Loop over Wyckoff positions\n    for _i, wp in enumerate(wyckoffs):\n        wp_gen = [gen_pos[0].as_xyz_string()]\n        first = wp[0]\n        seen = [first]\n        for op in gen_pos:\n            if rounded(op * first) not in seen:\n                seen.append(rounded(op * first))\n                wp_gen.append(op.as_xyz_string())\n        sg_gen.append(wp_gen)\n    generators.append(sg_gen)\n\nfailed = False\n\n\"\"\"print(\"-------------------Checking generators-------------------\")\nfor sg in range(1, 231):\n    print(\"Checking spacegroup: \"+str(sg))\n    wyckoffs = get_wyckoffs(sg)\n    generators = get_wyckoff_generators(sg)\n    for i, wp in enumerate(wyckoffs):\n        temp = []\n        for x in wp:\n            temp.append(rounded(x))\n        new = []\n        for op in generators[i]:\n            new.append(rounded(op*wp[0]))\n        for op in new:\n            if op in temp:\n                temp.remove(op)\n            else: print(\"error\")\n        if temp != []:\n            print(\"Failed: sg=\"+str(sg)+\", wp=\"+str(i))\n            failed = True\"\"\"\n\nif not failed:\n    print(\"-------------------Writing to database-------------------\")\n    array = np.array(generators)\n    df = DataFrame(data=array)\n    df.to_csv(fpath)\n"
  },
  {
    "path": "pyxtal/miscellaneous/debug_charmm.py",
    "content": "def parse_input(input_file):\n    \"\"\"\n    Parse the input file to extract crystal parameters and symmetry operations\n    \"\"\"\n    cell_params = []\n    symops = ['x, y, z']\n\n    with open(input_file, 'r') as f:\n        for line in f:\n            if line.startswith('Crystal Build cutoff'):\n                # Extract cell parameters\n                num_ops = int(line.split()[-1])\n                for i in range(num_ops):\n                    next_line = next(f).strip()\n                    print(next_line)\n                    symops.append(next_line[1:-1])\n            elif line.startswith('set shape'):\n                for i in range(6):\n                    next_line = next(f).strip()\n                    if next_line.startswith('set'):\n                        cell_params.append(float(next_line.split()[-1]))\n    return cell_params, symops\n\ndef parse_crd(crd_file):\n    atoms = []\n    with open(crd_file, 'r') as f:\n        lines = f.readlines()\n        # Skip header lines\n        num_atoms = int(lines[3].strip())\n        # Parse atom coordinates\n        for i in range(4, 4+num_atoms):\n            line = lines[i]\n            #print(line[41:])\n            x = float(line[23:31])\n            y = float(line[31:41])\n            z = float(line[41:51])\n            atom_type = line[15:19].split()[0].strip()#; print(atom_type, line[:-1])\n            atoms.append({\n            'type': atom_type,\n            'coords': [x,y,z]\n            })\n    return atoms\n\ndef parse_pdb(pdb_file):\n    \"\"\"Extract cell parameters and atom coordinates from PDB format file\"\"\"\n    cell_params = None\n    atoms = []\n\n    with open(pdb_file, 'r') as f:\n        for line in f:\n            if \"REMARK CELL\" in line:\n                cell_params = [float(x) for x in line.split(':')[1].split()]\n            elif line.startswith('ATOM'):\n                x = float(line[30:38])\n                y = float(line[38:46])\n                z = float(line[46:54])\n                atom_type = line[12:16].split()[0].strip()\n                atoms.append({\n                    'type': atom_type,\n                    'coords': [x,y,z]\n                })\n\n    return cell_params, atoms\n\ndef write_cif(atoms, cell_params, symops, spgnum, outfile):\n    \"\"\"Write structure to CIF format\"\"\"\n    with open(outfile, 'w') as f:\n        # Write cell parameters\n        f.write(\"data_structure\\n\")\n        f.write(f\"_symmetry_Int_Tables_number {spgnum}\\n\")\n        f.write(f\"_symmetry_cell_setting monoclinic\\n\")\n        f.write(f\"_cell_length_a    {cell_params[0]}\\n\")\n        f.write(f\"_cell_length_b    {cell_params[1]}\\n\")\n        f.write(f\"_cell_length_c    {cell_params[2]}\\n\")\n        f.write(f\"_cell_angle_alpha {cell_params[3]}\\n\")\n        f.write(f\"_cell_angle_beta  {cell_params[4]}\\n\")\n        f.write(f\"_cell_angle_gamma {cell_params[5]}\\n\")\n\n        f.write(\"\\nloop_\\n\")\n        f.write(\"_symmetry_equiv_pos_site_id\\n\")\n        f.write(\"_symmetry_equiv_pos_as_xyz\\n\")\n        for i, symop in enumerate(symops):\n            f.write(f\"{i} '{symop}'\\n\")\n\n        # Write atom loop\n        f.write(\"\\nloop_\\n\")\n        f.write(\"_atom_site_label\\n\")\n        f.write(\"_atom_site_fract_x\\n\")\n        f.write(\"_atom_site_fract_y\\n\")\n        f.write(\"_atom_site_fract_z\\n\")\n\n        for atom in atoms:\n            f.write(f\"{atom['type']} {atom['coords'][0]:.6f} {atom['coords'][1]:.6f} {atom['coords'][2]:.6f}\\n\")\n\n# Get cell parameters and atoms from PDB text\nprefix = 'hof-1a-g0-p5'\ncell_params, symops = parse_input(prefix+'charmm.in')\natoms = parse_crd(prefix+'pyxtal.crd')\nwrite_cif(atoms, cell_params, symops, 9, 'ini.cif')\ncell_params, atoms = parse_pdb(prefix+'result.pdb')\nwrite_cif(atoms, cell_params, symops, 9, 'opt.cif')\n\nfrom pyxtal import pyxtal\nsmiles = \"Nc8nc(N)nc(c7ccc(C(c2ccc(c1nc(N)nc(N)n1)cc2)(c4ccc(c3nc(N)nc(N)n3)cc4)c6ccc(c5nc(N)nc(N)n5)cc6)cc7)n8\"\nc = pyxtal(molecular=True)\nfor cif in ['opt.cif', 'ini.cif']:\n    c.from_seed(cif, molecules=[smiles+'.smi'])\n    print(cif, c)\n"
  },
  {
    "path": "pyxtal/miscellaneous/distance_bug.py",
    "content": "import numpy as np\n\nfrom pyxtal.crystal import distance_matrix, random_crystal\n\n\ndef find_short(dm):\n    for x in dm:\n        for y in x:\n            if y > 0 and y < 1.07:\n                print(\"  ~~~ Found short distance: \" + str(y) + \" ~~~\")\n\n\nn = 1000\nrng = np.random.default_rng()\nprint(\"Testing \" + str(n) + \" structures...\")\n\n\nfor i in range(n):\n    if i % 10 == 0:\n        print(str(i) + \"/\" + str(n) + \" structures tested.\")\n    pg = rng.integers(2, 57)\n    c = random_crystal(0, pg, [\"Mo\"], [16], 1.0)\n    if c.valid:\n        dm = distance_matrix(c.frac_coords, c.frac_coords, c.lattice.matrix, PBC=c.PBC)\n        find_short(dm)\n"
  },
  {
    "path": "pyxtal/miscellaneous/extra_test.py",
    "content": "\"\"\"\nExtra test cases with rdkit\n\"\"\"\n\nimport warnings\n\nimport pymatgen.analysis.structure_matcher as sm\n\nfrom pyxtal import pyxtal\n\nwarnings.filterwarnings(\"ignore\")\n\ns = pyxtal()\ns.from_json(\"pyxtal/database/bug.json\")\npmg1 = s.to_pymatgen()\n\ns.optimize_lattice(standard=True)\npmg2 = s.to_pymatgen()\n\nrms = sm.StructureMatcher().get_rms_dist(pmg1, pmg2)\nif rms is None or sum(rms) > 1e-4:\n    print(\"Problem in optimizing molecular crystals\")\n    import sys\n\n    sys.exit()\n\nfor code in [\n    \"QQQCIG04\",\n    \"AFUVAZ\",\n    \"HXMTAM\",\n    \"TRIZIN\",\n    \"UREAXX02\",\n    \"TCYETY02\",\n    \"JAPCIM\",\n    \"MAMFIT\",\n]:\n    s = pyxtal(molecular=True)\n    s.from_CSD(code)\n    if s.has_special_site():\n        sub = s.to_subgroup()\n        pmg0 = s.to_pymatgen()\n        pmg1 = sub.to_pymatgen()\n        rms = sm.StructureMatcher().get_rms_dist(pmg0, pmg1)\n        print(code, s.group.number, sub.group.number)\n        if rms is None or sum(rms) > 1e-4:\n            print(\"Problem ========================\")\n            break\n"
  },
  {
    "path": "pyxtal/miscellaneous/flow.py",
    "content": "import numpy as np\nimport matplotlib.pyplot as plt\nfrom scipy.signal import find_peaks\nfrom ase.db import connect\nfrom pyxtal import pyxtal\nfrom pyxtal.XRD_indexer import get_cell_from_thetas, CellManager, WPManager, XtalManager\nfrom pyxtal.XRD import Similarity\nfrom pyxtal.interface.ase_opt import ASE_relax\nfrom math import gcd\n\ndatabase = connect('total.db')\n\nfor row in database.select():\n    if row.id < 110: continue\n    xtal0 = pyxtal()\n    xtal0.from_seed(row.toatoms())\n    spg = xtal0.group.number\n    if spg < 75: continue\n    if xtal0.get_dof() > 8: continue\n    print('\\n================================')\n    print(row.id, xtal0.formula, xtal0.get_xtal_string())\n    print(xtal0.lattice)\n    found = False\n\n    # Draw PXRD\n    my_pxrd = xtal0.get_XRD(thetas=[10, 80], SCALED_INTENSITY_TOL=0.01)\n    x1, y1 = my_pxrd.get_plot(bg_ratio=0)\n    y1 = np.array(y1)\n    peaks, _ = find_peaks(y1, height=1, prominence=2.5)\n\n    composition = {}\n    divsor = gcd(*xtal0.numIons)\n    for i, el in enumerate(xtal0.species):\n        composition[el] = xtal0.numIons[i] // divsor\n\n    pxrd = np.zeros([len(x1), 2])\n    pxrd[:, 0], pxrd[:, 1] = x1, y1\n    peak_dicts = {'locations': x1[peaks], 'intensities': y1[peaks]}\n    print(\"Peaks used for indexing\", peak_dicts['locations'])\n    #print(my_pxrd.by_hkl(N_max=50))\n\n    solutions = get_cell_from_thetas(spg, peak_dicts['locations'], max_mismatch=20,\n                                     hkl_max=(2, 3, 10), max_square=20,\n                                     theta_tol=0.5, verbose=False)\n\n    sols = [(spg, sol['cell'], len(sol['mis_matched_peaks'])) for sol in solutions]\n    cells = CellManager.consolidate(sols, merge_tol=0.15)#, verbose=True)\n\n    # Store all results\n    eng_min = 1e10\n    sim_max = 0.95\n    for cell in cells[:3]:\n        print(f\"Trying cell: {cell.dims}, missing peaks: {cell.missing}\")\n        wp_manager = WPManager(spg, cell.dims, composition)\n        sols = wp_manager.get_wyckoff_positions()\n        for sol in sols:\n            (spg, comp, lattice, wp_ids, num_wps, dof) = sol\n            #print(f\"{comp}, {lattice}, {spg}, WPs: {wp_ids}\")\n            xm = XtalManager(spg, composition.keys(), comp, lattice, wp_ids)\n            for i in range(xm.dof*2 + 1):\n                xtal = xm.generate_structure()\n                if not xtal.valid: continue\n                if xm.dof > 0:\n                    atoms = ASE_relax(xtal.to_ase(), opt_lat=False, fmax=0.05, step=50, logfile='ase.log')\n                    if atoms is None: continue\n                    xtal.from_seed(atoms)\n                else:\n                    atoms = ASE_relax(xtal.to_ase(), opt_lat=False, fmax=0.05, step=10, logfile='ase.log')\n                    if atoms is None: continue\n                eng = atoms.get_potential_energy()/len(atoms)\n                stress = abs(atoms.get_stress()[:3].mean())\n                if stress > 1.0: continue\n\n                xrd = xtal.get_XRD(thetas=[10, 80], SCALED_INTENSITY_TOL=0.01)\n                x2, y2 = xrd.get_plot(bg_ratio=0)\n                sim = Similarity((x1, y1), (x2, y2)).value\n                strs = f\"{xtal.get_xtal_string()}, {sim:.3f}, {eng:.3f}, {stress:.3f}\"\n                if eng < eng_min:\n                    eng_min = eng\n                    strs += '  <--- New Min Energy!'\n                print(strs)\n\n                if sim > sim_max: \n                    sim_max = sim                        \n                    plt.figure(figsize=(8, 3))\n                    strs = f'{row.id}: {xtal0.formula} {xtal.get_xtal_string()}, {eng:.3f} eV/atom'\n                    plt.title(strs)\n                    plt.plot(x1, y1, color='green', alpha=0.5, label='Observed')\n                    plt.plot(x2, y2, color='blue', alpha=0.5, label=f'Match ({sim:.3f})')\n                    plt.plot(x1[peaks], y1[peaks], \"x\", c='orange')\n                    plt.legend()\n                    plt.xlabel('2θ (degrees)')\n                    plt.ylabel('Intensity (a.u.)')\n                    plt.savefig(f'Results/Match_{row.id}.png', dpi=300)\n                    plt.close()\n                    xtal.to_file(f'Results/Match_{row.id}.cif')\n                    xtal0.to_file(f'Results/Original_{row.id}.cif')\n                    if eng - eng_min < 1e-2 or sim > 0.989:\n                        found = True\n                        break\n                        #import sys; sys.exit()\n            if found:\n                break\n        if found:\n            break\n"
  },
  {
    "path": "pyxtal/miscellaneous/from_ase_molecule.py",
    "content": "from copy import deepcopy\n\nfrom ase.build import molecule\nfrom pymatgen.core import Molecule\nfrom pymatgen.symmetry.analyzer import PointGroupAnalyzer\n\nfrom pyxtal.molecule import orientation_in_wyckoff_position\nfrom pyxtal.operations import OperationAnalyzer\n\n\ndef get_ase_mol(molname):\n    \"\"\"convert ase molecule to pymatgen style\"\"\"\n    ase_mol = molecule(molname)\n    pos = ase_mol.get_positions()\n    symbols = ase_mol.get_chemical_symbols()\n    return Molecule(symbols, pos)\n\n\nif __name__ == \"__main__\":\n    # ---------------------------------------------------\n    for name in [\"H2\", \"H2O\", \"HCl\", \"CS2\", \"C2Cl4\", \"PH3\", \"CH4\", \"C6H6\", \"C60\"]:\n        mol = get_ase_mol(name)\n        pga = PointGroupAnalyzer(mol)\n\n        # Symmetrize the molecule using pymatgen\n        mol = pga.symmetrize_molecule()[\"sym_mol\"]\n        pga = PointGroupAnalyzer(mol)\n\n        print(name, \" has point group symmetry: \", pga.get_pointgroup())\n\n        # Check if orders of rotation are detected correctly\n        pg = pga.get_pointgroup()\n        for op in pg:\n            opa = OperationAnalyzer(op)\n            if opa.order == \"irrational\" or opa.order > 10:\n                print(opa)\n\n        # orientation_in_wyckoff_position(mol, sg, WP's index in sg)\n        # returns a list of orientations consistent with the WP's symmetry.\n        # We can choose any of these orientations at random using np.random.choice\n        # To use an orientation, do mol.apply_operation(orientation)\n        # Spacegroup 16, index 6 has .2. symmetry\n\n        # check 2 fold rotation\n        allowed = orientation_in_wyckoff_position(mol, 16, 6, randomize=True)\n        if allowed is not False:\n            print(\n                \"Found \" + str(len(allowed)) + \" orientations for \",\n                name,\n                \" with site symm 2\",\n            )\n            for i, op in enumerate(allowed):\n                mo = deepcopy(mol)\n                mo.apply_operation(op)\n                filename = \"xyz/\" + name + \"-\" + str(i) + \".xyz\"\n                mo.to(fmt=\"xyz\", filename=filename)\n\n        # check reflection\n        allowed = orientation_in_wyckoff_position(mol, 25, 2, randomize=True)\n        if allowed is not False:\n            print(\n                \"Found \" + str(len(allowed)) + \" orientations for \",\n                name,\n                \" with site symm m\",\n            )\n            for i, op in enumerate(allowed):\n                mo = deepcopy(mol)\n                mo.apply_operation(op)\n                filename = \"xyz/\" + name + \"-\" + str(i) + \".xyz\"\n                mo.to(fmt=\"xyz\", filename=filename)\n\n        # check 3 fold rotation\n        allowed = orientation_in_wyckoff_position(mol, 147, 4, randomize=True)\n        if allowed is not False:\n            print(\n                \"Found \" + str(len(allowed)) + \" orientations for \",\n                name,\n                \" with site symm 3\",\n            )\n            for i, op in enumerate(allowed):\n                mo = deepcopy(mol)\n                mo.apply_operation(op)\n                filename = \"xyz/\" + name + \"-\" + str(i) + \".xyz\"\n                mo.to(fmt=\"xyz\", filename=filename)\n\n        # check -1\n        allowed = orientation_in_wyckoff_position(mol, 2, 2, randomize=True)\n        if allowed is not False:\n            print(\n                \"Found \" + str(len(allowed)) + \" orientations for \",\n                name,\n                \" with site symm -1\",\n            )\n            for i, op in enumerate(allowed):\n                mo = deepcopy(mol)\n                mo.apply_operation(op)\n                filename = \"xyz/\" + name + \"-\" + str(i) + \".xyz\"\n                mo.to(fmt=\"xyz\", filename=filename)\n\n        # check 2/m\n        allowed = orientation_in_wyckoff_position(mol, 64, 6, randomize=True)\n        if allowed is not False:\n            print(\n                \"Found \" + str(len(allowed)) + \" orientations for \",\n                name,\n                \" with site symm 2/m\",\n            )\n            for i, op in enumerate(allowed):\n                mo = deepcopy(mol)\n                mo.apply_operation(op)\n                filename = \"xyz/\" + name + \"-\" + str(i) + \".xyz\"\n                mo.to(fmt=\"xyz\", filename=filename)\n\n        # check 6\n        allowed = orientation_in_wyckoff_position(mol, 168, 3, randomize=True)\n        if allowed is not False:\n            print(\n                \"Found \" + str(len(allowed)) + \" orientations for \",\n                name,\n                \" with site symm 6\",\n            )\n            for i, op in enumerate(allowed):\n                mo = deepcopy(mol)\n                mo.apply_operation(op)\n                filename = \"xyz/\" + name + \"-\" + str(i) + \".xyz\"\n                mo.to(fmt=\"xyz\", filename=filename)\n"
  },
  {
    "path": "pyxtal/miscellaneous/generate_mol_symm.py",
    "content": "from math import sqrt\n\nimport numpy as np\nimport pandas as pd\nfrom matrix import *\nfrom pymatgen.core.operations import SymmOp\nfrom structure import get_wyckoff_symmetry\n\n\"\"\"site_symmetry = [None]\n#site_symm is stored by space group number starting with 1 (site_symm[1] is P1))\nprint(\"Calculating space group:\")\nfor sg in range(1, 231):\n    print(sg)\n    site_symmetry.append([])\n    symmetry = get_wyckoff_symmetry(sg)\n    #Get site symmetry for every point in each wp, and store\n    for i, wp in enumerate(symmetry):\n        site_symmetry[sg].append([])\n        for j, point in enumerate(wp):\n            site_symmetry[sg][-1].append([])\n            symm_point_unedited = symmetry[i][j]\n            found_params = []\n            symm_point_partial = []\n            symm_point = []\n            orthogonal = True\n            #Check if operations are orthogonal; 3-fold and 6-fold operations are not\n            for op in symm_point_unedited:\n                m1 = np.dot(op.rotation_matrix, np.transpose(op.rotation_matrix))\n                m2 = np.dot(np.transpose(op.rotation_matrix), op.rotation_matrix)\n                if ( not allclose(m1, np.identity(3)) ) or ( not allclose(m2, np.identity(3)) ):\n                    rotation_order = 0\n                    d = np.linalg.det(op.rotation_matrix)\n                    e = np.linalg.eig(op.rotation_matrix)[1]\n                    e = np.transpose(e)\n                    for a in e:\n                        if allclose(a, [1,0,0]) or allclose(a, [0,1,0]) or allclose(a, [0,0,1]):\n                            op_axis = a\n                        else:\n                            print(\"Error: could not find axis\")\n                    if isclose(d, 1):\n                        op_type = \"rotation\"\n                    elif isclose(d, -1):\n                        op_type = \"improper rotation\"\n                    if op_type == \"rotation\":\n                        newop = deepcopy(op)\n                        for n in range(1, 7):\n                            newop = (newop*op)\n                            if allclose(newop.rotation_matrix, np.identity(3), rtol=1e-2):\n                                rotation_order = n + 1\n                                break\n                    elif op_type == \"improper rotation\":\n                        #We only want the order of the rotational part of op,\n                        #So we multiply op by -1 for rotoinversions\n                        op_1 = SymmOp.from_rotation_and_translation(op.rotation_matrix*-1,[0,0,0])\n                        new_op = deepcopy(op_1)\n                        for n in range(1, 7):\n                            newop = (newop*op_1)\n                            if allclose(newop.rotation_matrix, np.identity(3)):\n                                rotation_order = n + 1\n                                break\n                    if rotation_order == 0:\n                        print(\"Error: could not convert to orthogonal operation:\")\n                        print(op)\n                        symm_point_partial.append(op)\n                    else:\n                        params = [rotation_order, op_type, op_axis]\n                        found_params.append(params)\n                else:\n                    symm_point_partial.append(op)\n            #Add 3-fold and 6-fold symmetry back in using absolute coordinates\n            for params in found_params:\n                order = params[0]\n                op_type = params[1]\n                if op_type == \"rotation\" and (order == 3 or order == 6):\n                    m = aa2matrix(op_axis, (2*pi)/order)\n                elif op_type == \"improper rotation\" and (order == 3 or order == 6):\n                    m = aa2matrix(op_axis, (2*pi)/order)\n                    m[2] *= -1\n                symm_point_partial.append(SymmOp.from_rotation_and_translation(m, [0,0,0]))\n            #print(\"Generating...\")\n            symm_point = generate_full_symmops(symm_point_partial, 1e-2)\n            #print(\"Done\")\n            for op in symm_point:\n                site_symmetry[sg][-1][-1].append(op.as_xyz_string())\"\"\"\n\nP = SymmOp.from_rotation_and_translation([[1, -0.5, 0], [0, sqrt(3) / 2, 0], [0, 0, 1]], [0, 0, 0])\n\nsite_symmetry = [None]\n# site_symm is stored by space group number starting with 1 (site_symm[1] is P1))\nprint(\"Calculating space group:\")\nfor sg in range(1, 231):\n    print(sg)\n    site_symmetry.append([])\n    symm_sg = get_wyckoff_symmetry(sg)\n    # Get site symmetry for every point in each wp, and store\n    for _i, symm_wp in enumerate(symm_sg):\n        site_symmetry[sg].append([])\n        for _j, symm_point in enumerate(symm_wp):\n            site_symmetry[sg][-1].append([])\n            for op in symm_point:\n                new_op = P * op * P.inverse\n                new_op = new_op.from_rotation_and_translation(new_op.rotation_matrix, [0, 0, 0])\n                site_symmetry[sg][-1][-1].append(new_op.as_xyz_string())\n\n\nprint(\"Saving file...\")\narray = np.array(site_symmetry)\ndf = pd.DataFrame(data=array)\ndf.to_csv(\"wyckoff_symmetry_molecular.csv\")\nprint(\"File saved\")\n"
  },
  {
    "path": "pyxtal/miscellaneous/generate_site_symm.py",
    "content": "import pandas as pd\n\nfrom pyxtal.crystal import *\n\n\"\"\"\nGenerate the site symmetry csv files\n\"\"\"\n\n# EDIT\npath = \"point_symmetry_new.csv\"\nPBC = [0, 0, 0]\n# Change 231 to 81 for 2D, 76 for 1D\nmaxn = 33\n\nsite_symmetry = [None]\n\n# site_symm is stored by space group number starting with 1 (site_symm[1] is P1))\nprint(\"Generating site symmetry to store in \")\nprint(\"Calculating group:\")\n\n\nfor num in range(1, maxn):\n    print(num)\n    site_symmetry.append([])\n\n    # EDIT\n    wyckoffs = get_point(num)\n\n    gen_pos = wyckoffs[0]\n    for wp in wyckoffs:\n        site_symmetry[-1].append([])\n        for point in wp:\n            site_symmetry[-1][-1].append([])\n            new = site_symm(point, gen_pos, PBC=PBC)\n            for y in new:\n                site_symmetry[-1][-1][-1].append(y.as_xyz_string())\n\nprint(\"Saving file to \" + path + \" ...\")\narray = np.array(site_symmetry)\nif type(array[1][0][0][0]) != str:\n    print(\"Error: data incorrectly stored.\")\ndf = pd.DataFrame(data=array)\ndf.to_csv(path)\nprint(\"Done\")\n"
  },
  {
    "path": "pyxtal/miscellaneous/get_lj_cluster.py",
    "content": "import json\n\nimport numpy as np\nimport requests\nfrom monty.serialization import MontyEncoder\nfrom pymatgen.core import Molecule\nfrom pymatgen.symmetry.analyzer import PointGroupAnalyzer\nfrom scipy.spatial.distance import cdist\n\nblack_list = {\n    \"6\": \"Oh\",  # takes long time\n    \"13\": \"Ih\",  # takes long time\n    \"86\": \"C1\",\n    \"92\": \"C3v\",  # pymatgen returns Td\n    \"94\": \"C1\",\n    \"95\": \"C1\",\n    \"96\": \"C1\",\n    \"97\": \"C1\",\n    \"127\": \"C2v\",  # pymatgen returns C124v\n}\n\n\ndef parse_symmetry(pos):\n    mol = Molecule([\"C\"] * len(pos), pos)\n    pga = PointGroupAnalyzer(mol)\n    return pga.sch_symbol\n\n\ndef get_lj_from_url(N, address=\"http://doye.chem.ox.ac.uk/jon/structures/LJ/points/\"):\n    url_address = address + str(N)\n    data_str = requests.get(url_address).text\n    pos = parse_url_text(data_str)\n    energy = LJ(pos)\n    pos = np.reshape(pos, (N, 3))\n    sym = black_list[str(N)] if str(N) in black_list else parse_symmetry(pos)\n\n    return {\n        \"name\": N,\n        \"position\": pos,\n        \"energy\": energy,\n        \"url\": url_address,\n        \"pointgroup\": sym,\n    }\n\n\ndef parse_url_text(data_str):\n    x_array = []\n    text = data_str.split(\"\\n\")\n    for line in text:\n        [x_array.append(float(i)) for i in line.split()]\n    return np.array(x_array)\n\n\ndef LJ(pos):\n    \"\"\"\n    Calculate the total energy\n    input:\n    pos: N*3 array which represents the atomic positions\n    output\n    E: the total energy\n    \"\"\"\n    N_atom = int(len(pos) / 3)\n    pos = np.reshape(pos, (N_atom, 3))\n    distance = cdist(pos, pos, \"euclidean\")\n    ids = np.triu_indices(N_atom)\n    distance = distance[ids]\n    distance = distance[distance > 0]\n    r6 = np.power(distance, 6)\n    r12 = np.multiply(r6, r6)\n    return np.sum(4 * (1 / r12 - 1 / r6))\n\n\n\"\"\"\nRead the LJ clusters from the cambridge database\n\"\"\"\nclusters = []\nfor i in range(3, 151):\n    cluster = get_lj_from_url(i)\n    clusters.append(cluster)\n    print(i, cluster[\"energy\"], cluster[\"pointgroup\"])\n\ndumped = json.dumps(clusters, cls=MontyEncoder, indent=2)\nwith open(\"clusters.json\", \"w\") as f:\n    f.write(dumped)\n"
  },
  {
    "path": "pyxtal/miscellaneous/get_molecule_from_pubchem.py",
    "content": "import json\n\nimport numpy as np\nimport pubchempy as pcp\nimport pymatgen as mg\nfrom rdkit import Chem\nfrom rdkit.Chem import AllChem\n\nfrom pyxtal.database.element import Element\n\n\nclass NumpyEncoder(json.JSONEncoder):\n    def default(self, obj):\n        if isinstance(obj, np.ndarray):\n            return obj.tolist()\n        return json.JSONEncoder.default(self, obj)\n\n\ndef read_molecule(mol, name):\n    x = np.transpose([mol.record[\"coords\"][0][\"conformers\"][0][\"x\"]])\n    y = np.transpose([mol.record[\"coords\"][0][\"conformers\"][0][\"y\"]])\n    z = np.transpose([mol.record[\"coords\"][0][\"conformers\"][0][\"z\"]])\n\n    xyz = np.concatenate((x, y, z), axis=1)\n    numbers = mol.record[\"atoms\"][\"element\"]\n    elements = [Element(i).short_name for i in numbers]\n    volume = mol.volume_3d\n    pubchemid = mol.cid\n    return {\n        \"name\": name,\n        \"elements\": elements,\n        \"xyz\": xyz,\n        \"volume\": volume,\n        \"pubchem id\": pubchemid,\n    }\n\n\nnames = [\n    \"H2O\",\n    \"CH4\",\n    \"NH3\",\n    \"benzene\",\n    \"naphthalene\",\n    \"anthracene\",\n    \"tetracene\",\n    \"Pentacene\",\n    \"coumarin\",\n    \"resorcinol\",\n    \"benzamide\",\n    \"aspirin\",\n    \"ddt\",\n    \"lindane\",\n    \"Glycine\",\n    \"Glucose\",\n    \"ROY\",\n]\n\nmolecules = []\nmolecule = {\n    \"name\": \"C60\",\n    \"elements\": [\"C\"] * 60,\n    \"xyz\": np.array(\n        [\n            [2.2101953, 0.5866631, 2.6669504],\n            [3.1076393, 0.1577008, 1.6300286],\n            [1.3284430, -0.3158939, 3.2363232],\n            [3.0908709, -1.1585005, 1.2014240],\n            [3.1879245, -1.4574599, -0.1997005],\n            [3.2214623, 1.2230966, 0.6739440],\n            [3.3161210, 0.9351586, -0.6765151],\n            [3.2984981, -0.4301142, -1.1204138],\n            [-0.4480842, 1.3591484, 3.2081020],\n            [0.4672056, 2.2949830, 2.6175264],\n            [-0.0256575, 0.0764219, 3.5086259],\n            [1.7727917, 1.9176584, 2.3529691],\n            [2.3954623, 2.3095689, 1.1189539],\n            [-0.2610195, 3.0820935, 1.6623117],\n            [0.3407726, 3.4592388, 0.4745968],\n            [1.6951171, 3.0692446, 0.1976623],\n            [-2.1258394, -0.8458853, 2.6700963],\n            [-2.5620990, 0.4855202, 2.3531715],\n            [-0.8781521, -1.0461985, 3.2367302],\n            [-1.7415096, 1.5679963, 2.6197333],\n            [-1.6262468, 2.6357030, 1.6641811],\n            [-3.2984810, 0.4301871, 1.1204208],\n            [-3.1879469, 1.4573895, 0.1996030],\n            [-2.3360261, 2.5813627, 0.4760912],\n            [-0.5005210, -2.9797771, 1.7940308],\n            [-1.7944338, -2.7729087, 1.2047891],\n            [-0.0514245, -2.1328841, 2.7938830],\n            [-2.5891471, -1.7225828, 1.6329715],\n            [-3.3160705, -0.9350636, 0.6765268],\n            [-1.6951919, -3.0692581, -0.1976564],\n            [-2.3954901, -2.3096853, -1.1189862],\n            [-3.2214182, -1.2231835, -0.6739581],\n            [2.1758234, -2.0946263, 1.7922529],\n            [1.7118619, -2.9749681, 0.7557198],\n            [1.3130656, -1.6829416, 2.7943892],\n            [0.3959024, -3.4051395, 0.7557638],\n            [-0.3408219, -3.4591883, -0.4745610],\n            [2.3360057, -2.5814499, -0.4761050],\n            [1.6263757, -2.6357349, -1.6642309],\n            [0.2611352, -3.0821271, -1.6622618],\n            [-2.2100844, -0.5868636, -2.6670300],\n            [-1.7726970, -1.9178969, -2.3530466],\n            [-0.4670723, -2.2950509, -2.6175105],\n            [-1.3283500, 0.3157683, -3.2362375],\n            [-2.1759882, 2.0945383, -1.7923294],\n            [-3.0909663, 1.1583472, -1.2015749],\n            [-3.1076090, -0.1578453, -1.6301627],\n            [-1.3131365, 1.6828292, -2.7943639],\n            [0.5003224, 2.9799637, -1.7940203],\n            [-0.3961148, 3.4052817, -0.7557272],\n            [-1.7120629, 2.9749122, -0.7557988],\n            [0.0512824, 2.1329478, -2.7937450],\n            [2.1258630, 0.8460809, -2.6700534],\n            [2.5891853, 1.7227742, -1.6329562],\n            [1.7943010, 2.7730684, -1.2048262],\n            [0.8781323, 1.0463514, -3.2365313],\n            [0.4482452, -1.3591061, -3.2080510],\n            [1.7416948, -1.5679557, -2.6197714],\n            [2.5621724, -0.4853529, -2.3532026],\n            [0.0257904, -0.0763567, -3.5084446],\n        ]\n    ),\n    \"volume\": None,\n    \"pubchem id\": 123591,\n}\nmolecules.append(molecule)\n\nmolecule = {\n    \"name\": \"Glycine-z\",\n    \"elements\": [\"H\", \"N\", \"H\", \"C\", \"H\", \"H\", \"H\", \"C\", \"O\", \"O\"],\n    \"xyz\": np.array(\n        [\n            [3.090064, 3.564361, -0.325567],\n            [2.538732, 3.591476, -1.036692],\n            [2.097666, 2.810077, -1.104272],\n            [1.560226, 4.699895, -0.864107],\n            [3.019736, 3.730336, -1.784084],\n            [0.843929, 4.596366, -1.524923],\n            [1.157363, 4.630876, 0.026367],\n            [2.190568, 6.104112, -1.022811],\n            [1.309305, 6.980823, -0.972406],\n            [3.437359, 6.189565, -1.153186],\n        ]\n    ),\n    \"volume\": None,\n    \"pubchem id\": None,\n}\nmolecules.append(molecule)\n\nmolecule = {\n    \"name\": \"xxvi\",\n    \"elements\": [\n        \"C\",\n        \"C\",\n        \"C\",\n        \"C\",\n        \"C\",\n        \"C\",\n        \"C\",\n        \"C\",\n        \"C\",\n        \"C\",\n        \"C\",\n        \"C\",\n        \"C\",\n        \"C\",\n        \"C\",\n        \"C\",\n        \"C\",\n        \"C\",\n        \"C\",\n        \"C\",\n        \"N\",\n        \"C\",\n        \"O\",\n        \"C\",\n        \"C\",\n        \"C\",\n        \"C\",\n        \"C\",\n        \"C\",\n        \"Cl\",\n        \"N\",\n        \"C\",\n        \"O\",\n        \"C\",\n        \"C\",\n        \"C\",\n        \"C\",\n        \"C\",\n        \"C\",\n        \"Cl\",\n        \"H\",\n        \"H\",\n        \"H\",\n        \"H\",\n        \"H\",\n        \"H\",\n        \"H\",\n        \"H\",\n        \"H\",\n        \"H\",\n        \"H\",\n        \"H\",\n        \"H\",\n        \"H\",\n        \"H\",\n        \"H\",\n        \"H\",\n        \"H\",\n        \"H\",\n        \"H\",\n        \"H\",\n        \"H\",\n    ],\n    \"xyz\": np.array(\n        [\n            [3.13073867, -3.36491150, -2.64721385],\n            [1.82477880, -3.71896813, -2.32546087],\n            [0.94261928, -2.80596909, -1.82568763],\n            [1.33731746, -1.45528852, -1.62963296],\n            [2.66874173, -1.09519586, -1.98228771],\n            [3.53907849, -2.08759686, -2.49307291],\n            [3.06616823, 0.24489274, -1.81773666],\n            [2.21038255, 1.17722323, -1.34625977],\n            [0.87895828, 0.83753665, -1.01123254],\n            [0.44151629, -0.46570153, -1.12746036],\n            [-0.94993120, -0.85053187, -0.72466066],\n            [-1.16819747, -1.49926227, 0.47582205],\n            [-2.47506679, -1.91279650, 0.84257981],\n            [-3.52001657, -1.65697309, 0.0221523],\n            [-3.35904520, -0.99094614, -1.2040898],\n            [-4.44946712, -0.73078858, -2.06144647],\n            [-4.26939744, -0.08842722, -3.23777638],\n            [-2.99799640, 0.32962609, -3.6132389],\n            [-1.90848392, 0.10128131, -2.81797595],\n            [-2.05490421, -0.57541197, -1.58133938],\n            [-0.05140171, -1.75619845, 1.29870195],\n            [-0.02048065, -2.08495563, 2.61339307],\n            [-1.02814328, -2.27640038, 3.26779866],\n            [1.32913247, -2.27627206, 3.23718665],\n            [1.39188403, -3.28135647, 4.20405182],\n            [2.55142361, -3.57714301, 4.86588481],\n            [3.69004600, -2.87488273, 4.6081055],\n            [3.66640049, -1.85872590, 3.68219674],\n            [2.50413258, -1.57167947, 2.99828407],\n            [2.57998011, -0.25813695, 1.85536291],\n            [0.01862539, 1.84408465, -0.51985822],\n            [-0.06322446, 3.08119149, -1.05782811],\n            [0.50335840, 3.39619442, -2.09912528],\n            [-0.93447067, 4.06888913, -0.35196746],\n            [-1.91485002, 4.70053843, -1.12064886],\n            [-2.71788802, 5.64575569, -0.54703666],\n            [-2.55145998, 5.99309950, 0.76811263],\n            [-1.59017894, 5.42377994, 1.53293698],\n            [-0.77349930, 4.45245293, 0.95626051],\n            [0.52282048, 3.81797397, 1.91420694],\n            [3.72278594, -4.00725445, -2.96593944],\n            [1.54648930, -4.59649704, -2.45399439],\n            [0.07682973, -3.06919038, -1.61225759],\n            [4.40941526, -1.85455891, -2.72715538],\n            [3.93468611, 0.49322605, -2.03843703],\n            [2.50140425, 2.05508514, -1.24004422],\n            [-2.61330209, -2.36028263, 1.64664034],\n            [-4.37125504, -1.93086070, 0.27844672],\n            [-5.30252447, -1.00549091, -1.81425621],\n            [-4.99604225, 0.07369089, -3.79595391],\n            [-2.88613494, 0.77496485, -4.4226979],\n            [-1.06724932, 0.39216806, -3.0909586],\n            [0.70434526, -1.62389193, 0.92485864],\n            [0.62249541, -3.76345476, 4.40295656],\n            [2.56324636, -4.26135813, 5.49534309],\n            [4.47853291, -3.08125872, 5.05488365],\n            [4.43578910, -1.36373956, 3.51750179],\n            [-0.50521367, 1.64703600, 0.10159614],\n            [-2.02034538, 4.47929608, -2.01835861],\n            [-3.38269071, 6.05574511, -1.05183405],\n            [-3.11167675, 6.63358995, 1.14172011],\n            [-1.47740803, 5.67620528, 2.4211357],\n        ]\n    ),\n    \"volume\": None,\n    \"pubchem id\": None,\n}\nmolecules.append(molecule)\n\nmolecule = {\n    \"name\": \"xxv\",\n    \"elements\": [\n        \"O\",\n        \"H\",\n        \"O\",\n        \"O\",\n        \"O\",\n        \"O\",\n        \"O\",\n        \"N\",\n        \"N\",\n        \"C\",\n        \"C\",\n        \"C\",\n        \"H\",\n        \"C\",\n        \"C\",\n        \"H\",\n        \"C\",\n        \"C\",\n        \"H\",\n        \"N\",\n        \"N\",\n        \"C\",\n        \"C\",\n        \"H\",\n        \"C\",\n        \"H\",\n        \"C\",\n        \"C\",\n        \"H\",\n        \"C\",\n        \"C\",\n        \"H\",\n        \"H\",\n        \"C\",\n        \"H\",\n        \"H\",\n        \"C\",\n        \"C\",\n        \"H\",\n        \"C\",\n        \"C\",\n        \"H\",\n        \"C\",\n        \"H\",\n        \"C\",\n        \"C\",\n        \"H\",\n        \"H\",\n        \"C\",\n        \"H\",\n        \"H\",\n        \"H\",\n        \"C\",\n        \"H\",\n        \"H\",\n        \"H\",\n    ],\n    \"xyz\": np.array(\n        [\n            [0.109856, 2.583241, 3.821450],\n            [0.868664, 3.006013, 3.759431],\n            [0.441683, 1.937362, 1.737301],\n            [-4.137107, 1.865107, 5.939288],\n            [-5.729484, 0.890497, 4.905636],\n            [-4.813431, -1.371183, 0.773325],\n            [-2.969797, -1.063412, -0.208262],\n            [-4.585626, 1.285967, 4.986797],\n            [-3.721930, -0.864022, 0.696758],\n            [-0.236548, 2.001343, 2.718888],\n            [-1.612853, 1.397382, 2.765593],\n            [-2.031292, 0.603409, 1.712034],\n            [-1.476709, 0.449523, 0.981587],\n            [-3.291929, 0.044125, 1.771756],\n            [-4.155857, 0.261440, 2.815362],\n            [-5.009223, -0.107555, 2.826081],\n            [-3.700827, 1.047140, 3.837529],\n            [-2.445325, 1.616352, 3.842123],\n            [-2.166030, 2.140061, 4.558023],\n            [2.309524, 3.948632, 3.675973],\n            [4.084307, 4.909178, 5.015892],\n            [4.985582, 4.706479, 3.921752],\n            [6.248705, 5.279551, 3.977646],\n            [6.494420, 5.785885, 4.718813],\n            [7.141056, 5.104706, 2.943228],\n            [7.977095, 5.510104, 2.992997],\n            [6.825061, 4.343827, 1.832244],\n            [5.561876, 3.762756, 1.790898],\n            [5.330553, 3.237669, 1.059685],\n            [4.634979, 3.945599, 2.810768],\n            [3.238411, 3.354600, 2.693621],\n            [2.899014, 3.510692, 1.797789],\n            [3.283203, 2.396537, 2.834504],\n            [3.498132, 6.251128, 5.025080],\n            [4.195172, 6.902798, 4.855867],\n            [3.129199, 6.431213, 5.904833],\n            [2.412692, 6.409702, 3.993725],\n            [1.908136, 7.665609, 3.676739],\n            [2.251805, 8.411321, 4.114701],\n            [0.910951, 7.847900, 2.731138],\n            [0.443740, 6.728229, 2.068835],\n            [-0.208340, 6.828338, 1.413423],\n            [0.919690, 5.471495, 2.357492],\n            [0.588580, 4.732402, 1.898857],\n            [1.894045, 5.302441, 3.334485],\n            [2.995113, 3.950011, 4.994453],\n            [2.356103, 4.172567, 5.689680],\n            [3.342599, 3.063927, 5.178214],\n            [7.798674, 4.183322, 0.696758],\n            [7.734765, 4.941996, 0.111022],\n            [7.592569, 3.383833, 0.209027],\n            [8.690665, 4.122926, 1.046668],\n            [0.345940, 9.213843, 2.455498],\n            [-0.525730, 9.285546, 2.852114],\n            [0.278621, 9.346218, 1.506835],\n            [0.924298, 9.881233, 2.831441],\n        ]\n    ),\n    \"volume\": None,\n    \"pubchem id\": None,\n}\nmolecules.append(molecule)\n\nmolecule = {\n    \"name\": \"BIPHEN\",\n    \"elements\": [\"C\"] * 12 + [\"H\"] * 10,\n    \"xyz\": np.array(\n        [\n            [3.522287, 0.022171, 0.016457],\n            [2.842472, 1.196407, 0.046472],\n            [1.414764, 1.185531, 0.030851],\n            [0.738955, -0.016045, -0.014385],\n            [1.486857, -1.160752, -0.046285],\n            [2.876353, -1.189890, -0.034198],\n            [-0.730003, 0.001127, -0.011393],\n            [-1.433617, -1.183684, 0.030781],\n            [-2.825556, -1.174273, 0.047609],\n            [-3.562975, -0.014379, 0.015227],\n            [-2.873925, 1.173271, -0.035666],\n            [-1.455614, 1.160516, -0.045470],\n            [4.640687, 0.037313, 0.023516],\n            [3.383973, 2.122626, 0.090707],\n            [0.962204, 2.134564, 0.062104],\n            [1.007704, -2.125016, -0.073566],\n            [3.459566, -2.083218, -0.066584],\n            [-0.890536, -2.122135, 0.054618],\n            [-3.366681, -2.110257, 0.113713],\n            [-4.660789, -0.042737, 0.026237],\n            [-3.424430, 2.086622, -0.058475],\n            [-0.951057, 2.106547, -0.094314],\n        ]\n    ),\n    \"volume\": None,\n    \"pubchem id\": None,\n}\nmolecules.append(molecule)\nmolecule = {\n    \"name\": \"ANULEN\",\n    \"elements\": [\"C\"] * 18 + [\"H\"] * 18,\n    \"xyz\": np.array(\n        [\n            [-1.869782, -2.195520, 0.409199],\n            [-2.270978, -2.442720, 1.719589],\n            [-1.782410, -1.740960, 2.843459],\n            [-0.868955, -0.711840, 2.762571],\n            [-0.260498, -0.039360, 3.801747],\n            [0.704539, 0.996960, 3.598099],\n            [1.176140, 1.380960, 2.354323],\n            [1.995002, 2.440320, 2.049803],\n            [-2.346725, -2.824320, -0.732752],\n            [1.869782, 2.195520, -0.409199],\n            [2.270978, 2.442720, -1.719589],\n            [1.782410, 1.740960, -2.843459],\n            [0.868955, 0.711840, -2.762571],\n            [0.260498, 0.039360, -3.801747],\n            [-0.704539, -0.996960, -3.598099],\n            [-1.176140, -1.380960, -2.354323],\n            [-1.995002, -2.440320, -2.049803],\n            [2.346725, 2.824320, 0.732752],\n            [-1.188808, -1.334400, 0.295004],\n            [-2.871375, -3.206400, 1.874704],\n            [-2.109651, -2.049600, 3.711342],\n            [-0.645378, -0.374400, 1.855671],\n            [-0.465655, -0.259200, 4.748615],\n            [1.036005, 1.536000, 4.415546],\n            [0.937534, 0.806400, 1.655830],\n            [2.260780, 3.004800, 2.826330],\n            [-2.915514, -3.595200, -0.570976],\n            [1.188808, 1.334400, -0.295004],\n            [2.871375, 3.206400, -1.874704],\n            [2.109651, 2.049600, -3.711342],\n            [0.645378, 0.374400, -1.855671],\n            [0.465655, 0.259200, -4.748615],\n            [-1.036005, -1.536000, -4.415546],\n            [-0.937534, -0.806400, -1.655830],\n            [-2.260780, -3.004800, -2.826330],\n            [2.915514, 3.595200, 0.570976],\n        ]\n    ),\n    \"volume\": None,\n    \"pubchem id\": None,\n}\nmolecules.append(molecule)\n\nmolecule = {\n    \"name\": \"QUPHEN\",\n    \"elements\": [\"C\"] * 24 + [\"H\"] * 18,\n    \"xyz\": np.array(\n        [\n            [-0.237192, -0.001402, 0.712733],\n            [-2.361455, -0.040280, 7.580801],\n            [-2.807282, -1.022591, 6.689173],\n            [-2.372134, -1.008061, 5.351374],\n            [0.170869, 1.009744, 1.604895],\n            [-0.253537, 1.016588, 2.942338],\n            [-1.085084, 0.014137, 3.446418],\n            [-1.478465, -1.012493, 2.572608],\n            [-1.058264, -1.012549, 1.227860],\n            [-1.532259, 0.001515, 4.863509],\n            [-1.114307, 1.002507, 5.762086],\n            [-1.535804, 0.980235, 7.103627],\n            [0.237192, 0.001402, -0.712733],\n            [2.361455, 0.040280, -7.580801],\n            [2.807282, 1.022591, -6.689173],\n            [2.372134, 1.008061, -5.351374],\n            [-0.170869, -1.009744, -1.604895],\n            [0.253537, -1.016588, -2.942338],\n            [1.085084, -0.014137, -3.446418],\n            [1.478465, 1.012493, -2.572608],\n            [1.058264, 1.012549, -1.227860],\n            [1.532259, -0.001515, -4.863509],\n            [1.114307, -1.002507, -5.762086],\n            [1.535804, -0.980235, -7.103627],\n            [-2.742286, 0.016830, 8.609809],\n            [-3.531354, -1.709367, 7.068525],\n            [-2.716147, -1.783980, 4.839454],\n            [0.751149, 1.706562, 1.291828],\n            [-0.008889, 1.923669, 3.472789],\n            [-2.055778, -1.804176, 2.881221],\n            [-1.405779, -1.739100, 0.522077],\n            [-0.575572, 1.925913, 5.498732],\n            [-1.234116, 1.740222, 7.822240],\n            [2.742286, -0.016830, -8.609809],\n            [3.531354, 1.709367, -7.068525],\n            [2.716147, 1.783980, -4.839454],\n            [-0.751149, -1.706562, -1.291828],\n            [0.008889, -1.923669, -3.472789],\n            [2.055778, 1.804176, -2.881221],\n            [1.405779, 1.739100, -0.522077],\n            [0.575572, -1.925913, -5.498732],\n            [1.234116, -1.740222, -7.822240],\n        ]\n    ),\n    \"volume\": None,\n    \"pubchem id\": None,\n}\nmolecules.append(molecule)\n\nmolecule = {\n    \"name\": \"DBPERY\",\n    \"elements\": [\"C\"] * 28 + [\"H\"] * 16,\n    \"xyz\": np.array(\n        [\n            [-2.63477, 2.22938, 5.17206],\n            [-2.19688, 1.31535, 6.15920],\n            [-2.00579, 2.22233, 3.89378],\n            [-2.47768, 3.15252, 2.93683],\n            [-3.50840, 4.04097, 3.20108],\n            [-4.10838, 4.03584, 4.44721],\n            [-3.70215, 3.15136, 5.46502],\n            [-4.32955, 3.16659, 6.75645],\n            [-5.37879, 4.04390, 7.15239],\n            [-5.94660, 4.01197, 8.42979],\n            [-5.48787, 3.09743, 9.36150],\n            [-4.46449, 2.22335, 9.00935],\n            [-3.88541, 2.25248, 7.72568],\n            [-2.85263, 1.36213, 7.41318],\n            [-0.50166, 0.38562, 4.59679],\n            [-0.93955, 1.29965, 3.60965],\n            [-1.13064, 0.39267, 5.87507],\n            [-0.65875, -0.53752, 6.83202],\n            [0.37197, -1.42597, 6.56777],\n            [0.97195, -1.42084, 5.32164],\n            [0.56572, -0.53636, 4.30382],\n            [1.19311, -0.55159, 3.01239],\n            [2.24236, -1.42889, 2.61646],\n            [2.81017, -1.39697, 1.33906],\n            [2.35143, -0.48243, 0.40735],\n            [1.32806, 0.39165, 0.75950],\n            [0.74898, 0.36252, 2.04317],\n            [-0.28381, 1.25287, 2.35567],\n            [-1.08469, -0.59865, 7.82813],\n            [0.70545, -2.12121, 7.33346],\n            [1.77455, -2.13524, 5.16895],\n            [2.64219, -2.16872, 3.30346],\n            [3.60729, -2.08896, 1.08081],\n            [2.78363, -0.44760, -0.58861],\n            [0.97836, 1.10381, 0.01433],\n            [-0.58003, 1.93503, 1.56415],\n            [-2.05174, 3.21365, 1.94072],\n            [-3.84189, 4.73621, 2.43539],\n            [-4.91098, 4.75024, 4.59990],\n            [-5.77862, 4.78372, 6.46539],\n            [-6.74372, 4.70396, 8.68804],\n            [-5.92006, 3.06260, 10.35746],\n            [-4.11479, 1.51119, 9.75452],\n            [-2.55640, 0.67997, 8.20470],\n        ]\n    ),\n    \"volume\": None,\n    \"pubchem id\": None,\n}\nmolecules.append(molecule)\n\nmolecule = {\n    \"name\": \"TBZPER\",\n    \"elements\": [\"C\"] * 34 + [\"H\"] * 18,\n    \"xyz\": np.array(\n        [\n            [5.623156, 2.615557, 2.025778],\n            [0.115983, 1.289134, 2.629836],\n            [-0.709893, 2.176080, 3.254566],\n            [-0.235965, 3.393299, 3.671818],\n            [1.055842, 3.784834, 3.356390],\n            [1.899715, 2.916533, 2.642851],\n            [3.279508, 3.308067, 2.307518],\n            [4.231365, 2.309255, 2.031137],\n            [3.771434, 0.974841, 1.700398],\n            [3.683447, 4.653135, 2.205694],\n            [2.749588, 5.729189, 1.932374],\n            [6.523021, 1.595437, 1.586323],\n            [3.171524, 7.007669, 1.725662],\n            [4.539319, 7.356587, 1.789207],\n            [4.961256, 8.675019, 1.577136],\n            [6.279058, 8.997303, 1.656758],\n            [7.236914, 8.033116, 1.894094],\n            [6.874969, 6.685385, 2.092385],\n            [7.834825, 5.659937, 2.442264],\n            [9.190621, 5.966240, 2.733958],\n            [10.046493, 5.023361, 3.204036],\n            [9.606559, 3.747545, 3.449794],\n            [6.049092, 0.348919, 1.211179],\n            [8.310753, 3.379982, 3.150444],\n            [7.420887, 4.325524, 2.593853],\n            [6.031095, 3.947307, 2.279191],\n            [5.061241, 4.978082, 2.197272],\n            [5.497175, 6.357775, 2.050277],\n            [4.689296, 0.002664, 1.261709],\n            [4.239364, -1.283807, 0.839863],\n            [2.927561, -1.563475, 0.907236],\n            [1.981703, -0.631249, 1.329847],\n            [2.395641, 0.647231, 1.759349],\n            [1.467780, 1.616745, 2.324362],\n            [-0.159976, 0.585970, 2.312112],\n            [-1.679748, 1.784545, 3.529416],\n            [-0.899865, 4.155060, 4.004088],\n            [1.479778, 4.794300, 3.529416],\n            [1.639754, 5.433540, 1.768536],\n            [7.498875, 1.864450, 1.554168],\n            [2.419637, 7.777420, 1.133088],\n            [4.299355, 9.348885, 1.401048],\n            [6.579013, 9.854950, 1.347456],\n            [8.238764, 8.256850, 1.936968],\n            [9.498575, 6.898465, 2.710224],\n            [10.958356, 5.433540, 3.537072],\n            [10.158476, 3.036390, 3.881592],\n            [6.718992, -0.346255, 0.826848],\n            [7.958806, 2.343880, 3.246144],\n            [5.079238, -1.837815, 0.436392],\n            [2.479628, -2.477055, 0.474672],\n            [0.839874, -0.905590, 1.454640],\n        ]\n    ),\n    \"volume\": None,\n    \"pubchem id\": None,\n}\nmolecules.append(molecule)\n\nmolecule = {\n    \"name\": \"TBZPYR\",\n    \"elements\": [\"C\"] * 28 + [\"H\"] * 16,\n    \"xyz\": np.array(\n        [\n            [0.648186, 1.775038, 9.169800],\n            [0.680394, 2.972654, 8.479600],\n            [0.728706, 4.223735, 9.150080],\n            [0.607926, 5.485509, 8.400720],\n            [0.088572, 6.565502, 9.130360],\n            [-0.370392, 7.741732, 8.459880],\n            [-0.954162, 8.811032, 9.189520],\n            [-0.269742, 7.795197, 7.099200],\n            [0.402600, 6.800748, 6.369560],\n            [0.938058, 5.624518, 7.000600],\n            [0.644160, 6.961143, 4.969440],\n            [1.372866, 6.073624, 4.279240],\n            [1.932480, 4.972245, 4.930000],\n            [1.743258, 4.747692, 6.251240],\n            [0.648186, 1.775038, 10.550200],\n            [0.680394, 2.972654, 11.240400],\n            [0.728706, 4.223735, 10.569920],\n            [0.607926, 5.485509, 11.319280],\n            [0.088572, 6.565502, 10.589640],\n            [-0.370392, 7.741732, 11.260120],\n            [-0.954162, 8.811032, 10.530480],\n            [-0.269742, 7.795197, 12.620800],\n            [0.402600, 6.800748, 13.350440],\n            [0.938058, 5.624518, 12.719400],\n            [0.644160, 6.961143, 14.750560],\n            [1.372866, 6.073624, 15.440760],\n            [1.932480, 4.972245, 14.790000],\n            [1.743258, 4.747692, 13.468760],\n            [0.628056, 0.908905, 8.676800],\n            [0.668316, 2.961961, 7.493600],\n            [-1.368840, 9.570235, 8.696520],\n            [-0.688446, 8.554400, 6.606200],\n            [0.261690, 7.763118, 4.496160],\n            [1.513776, 6.191247, 3.293240],\n            [2.492094, 4.330665, 4.397560],\n            [2.174040, 3.956410, 6.685080],\n            [0.628056, 0.908905, 11.043200],\n            [0.668316, 2.961961, 12.226400],\n            [-1.368840, 9.570235, 11.023480],\n            [-0.688446, 8.554400, 13.113800],\n            [0.261690, 7.763118, 15.223840],\n            [1.513776, 6.191247, 16.426760],\n            [2.492094, 4.330665, 15.322440],\n            [2.174040, 3.956410, 13.034920],\n        ]\n    ),\n    \"volume\": None,\n    \"pubchem id\": None,\n}\nmolecules.append(molecule)\n\n\ndata = {}\ndata[\"YICMOP\"] = \"s1cccc1c1c(F)c(OC)c(c2sccc2)c(F)c1OC\"\ndata[\"MERQIM\"] = \"s1c2c(c3c1SCCC3)cc1sc3SCCCc3c1c2\"\nfor name in data:\n    smi = data[name]\n    m = Chem.MolFromSmiles(smi)\n    m2 = Chem.AddHs(m)\n    AllChem.EmbedMolecule(m2)\n    cids = AllChem.EmbedMultipleConfs(m2, numConfs=1)\n    xyz = Chem.rdmolfiles.MolToXYZBlock(m2, 0)\n    mol = mg.core.Molecule.from_str(xyz, fmt=\"xyz\")\n    molecule = {\n        \"name\": name,\n        \"elements\": [site.specie.name for site in mol],\n        \"xyz\": mol.cart_coords,\n        \"volume\": None,\n        \"pubchem id\": None,\n    }\n    molecules.append(molecule)\n\nfor name in names:\n    print(name)\n    mol = pcp.get_compounds(name, \"name\", record_type=\"3d\")[0]\n    molecule = read_molecule(mol, name)\n    molecules.append(molecule)\n\ndicts = {\n    \"LEFCIK\": 812440,\n    \"OFIXUX\": 102393188,\n    \"HAHCOI\": 10910901,\n    \"JAPWIH\": 11449344,\n    \"WEXBOS\": 12232323,\n    \"LAGNAL\": 139087974,\n    \"LUFHAW\": 102382626,\n    \"PAHYON01\": 10006,\n    \"AXOSOW01\": 7847,\n}\nfor key in dicts:\n    mol = pcp.get_compounds(dicts[key], \"cid\", record_type=\"3d\")[0]\n    molecule = read_molecule(mol, key)\n    molecules.append(molecule)\n\n# print(molecules)\ndumped = json.dumps(molecules, cls=NumpyEncoder, indent=2)\nwith open(\"molecules.json\", \"w\") as f:\n    f.write(dumped)\n"
  },
  {
    "path": "pyxtal/miscellaneous/grid.py",
    "content": "# Define the symmetry operations in fractional coordinates\nimport matplotlib.pyplot as plt\nimport numpy as np\n\n# Define hexagonal lattice vectors (2D)\na1 = np.array([1, 0])\na2 = np.array([-0.5, np.sqrt(3)/2])\n\n# Create grid of lattice points\npoints = []\nfor i in range(-2, 3):\n    for j in range(-2, 3):\n        point = i * a1 + j * a2\n        points.append(point)\n\npoints = np.array(points); print(points)\n\ndef op1(p): return p                           # (x, y)\ndef op2(p): return np.array([-p[1], p[0] - p[1]])  # (-y, x-y)\ndef op3(p): return np.array([-p[0] + p[1], -p[0]])  # (-x+y, -x)\ndef op4(p): return -p                          # (-x, -y)\ndef op5(p): return np.array([p[1], -p[0] + p[1]])   # (y, -x+y)\ndef op6(p): return np.array([p[0] - p[1], p[0]])    # (x-y, x)\ndef op7(p): return np.array([-p[1], -p[0]])         # (-y, -x)\ndef op8(p): return np.array([-p[0] + p[1], p[1]])   # (-x+y, y)\ndef op9(p): return np.array([p[0], p[0] - p[1]])    # (x, x-y)\ndef op10(p): return np.array([p[1], p[0]])          # (y, x)\ndef op11(p): return np.array([p[0] - p[1], -p[1]])   # (x-y, -y)\ndef op12(p): return np.array([-p[0], -p[0] + p[1]])  # (-x, -x+y)\n# Convert fractional to Cartesian\ndef frac_to_cart(f):\n    return f[0] * a1 + f[1] * a2\n\n\noperations = [op1, op2, op3, op4, op5, op6, op7, op8, op9, op10, op11, op12]\nlabels = [\n    \"(x, y)\", \"(-y, x−y)\", \"(-x+y, −x)\", \"(−x, −y)\",\n    \"(y, −x+y)\", \"(x−y, x)\", \"(−y, −x)\", \"(−x+y, y)\",\n    \"(x, x−y)\", \"(y, x)\", \"(x−y, −y)\", \"(−x, −x+y)\"\n]\n\n# Original point\nfrac_original = np.array([0.3, 0.7])\noriginal = frac_to_cart(frac_original); print(original)\n\n# Apply operations\n#transformed_points = [op(original) for op in operations]\ntransformed_points = [frac_to_cart(op(frac_original)) for op in operations]\nprint(transformed_points)\n\n# Plot\nfig, ax = plt.subplots(figsize=(8, 8))\n\n# Plot lattice points for context\nax.plot(points[:, 0], points[:, 1], 'o', color='lightgray', label='Lattice points')\n\n# Plot original point\n#ax.plot(*original, 'ro', label='Original point')\n\n# Plot transformed points\ncolors = plt.cm.tab20(np.linspace(0, 1, len(transformed_points)))\nfor i, (pt, label) in enumerate(zip(transformed_points, labels)):\n    ax.plot(*pt, 'o', color=colors[i], label=label)\n    #ax.plot([original[0], pt[0]], [original[1], pt[1]], '--', color=colors[i], lw=1)\n    ax.text(pt[0]+0.05, pt[1]+0.05, f'{i+1}', fontsize=8)\n\n# Axis settings\nax.set_xlim(-1.1, 1.1)\nax.set_ylim(-1.1, 1.1)\nax.set_xlabel('x')\nax.set_ylabel('y')\nax.set_title('Graphical Representation of 12 Symmetry Operations')\nax.legend(bbox_to_anchor=(1.05, 1), loc='upper left', fontsize='small')\nax.set_aspect('equal')\n#plt.grid(True)\nplt.tight_layout()\nplt.show()\n"
  },
  {
    "path": "pyxtal/miscellaneous/gulp_c.py",
    "content": "import os\n\nfrom ase import Atoms\nfrom spglib import get_symmetry_dataset\n\nfrom pyxtal.crystal import random_crystal\nfrom pyxtal.interface.gulp import GULP\n\nfile = \"C-POSCARs\"\nif os.path.exists(file):\n    os.remove(file)\nfor i in range(10):\n    # struc = random_crystal(194, [\"C\"], [4], 1.0)\n    struc = random_crystal(227, [\"C\"], [2], 1.0)\n    if struc.valid:\n        calc = GULP(struc, ff=\"tersoff.lib\")\n        calc.run()\n        s = Atoms(calc.sites, scaled_positions=calc.positions, cell=calc.cell)\n        info = get_symmetry_dataset(s, symprec=1e-1)\n        s.write(\"1.vasp\", format=\"vasp\", vasp5=True, direct=True)\n        os.system(\"cat 1.vasp >> \" + file)\n        print(\"{:4d} {:8.3f} {:s}\".format(i, calc.energy / 8, info[\"international\"]))\n        # print(calc.stress)\n        # print(calc.cell)\n"
  },
  {
    "path": "pyxtal/miscellaneous/heavy_check.py",
    "content": "\"\"\"\nA script to systematicly check\n1, read_cif\n2, alternative setting\n3, subgroup\n4, supergroup\n\"\"\"\n\nfrom glob import glob\n\nimport pymatgen.analysis.structure_matcher as sm\nfrom pymatgen.core import Structure\n\nfrom pyxtal import pyxtal\nfrom pyxtal.supergroup import supergroups\n\nfor i, name in enumerate(glob(\"pyxtal/miscellaneous/cifs/*.cif\")):\n    # 1, read from cif\n    s = pyxtal()\n    s.from_seed(name)\n    pmg_s1 = s.to_pymatgen()\n    pmg0 = Structure.from_file(name)\n    G = s.group.number\n\n    print(i, name, len(s.atom_sites))\n    if len(s.atom_sites) <= 6:\n        if not sm.StructureMatcher().fit(pmg_s1, pmg0):\n            print(\"Error in reading cif\")\n\n        # 2, alternative setting\n        strucs = s.get_alternatives()\n        for i, struc in enumerate(strucs):\n            pmg_s2 = struc.to_pymatgen()\n            if not sm.StructureMatcher().fit(pmg_s1, pmg_s2):\n                print(\"Error in alternative setting\")\n                print(s)\n                print(struc)\n                break\n\n        # 3, subgroup\n        for gtype in [\"t\", \"k\"]:\n            valid = True\n            try:\n                struc_h = s.subgroup_once(eps=0, group_type=gtype, max_cell=3)\n                H = struc_h.group.number\n                pmg_h = struc_h.to_pymatgen()\n                if not sm.StructureMatcher().fit(pmg_s1, pmg_h):\n                    print(\"Error in subgroup\", gtype)\n            except RuntimeError:\n                print(\"no splitter skip\", name)\n                valid = False\n            # 4, supergroup\n            if valid:\n                # print(G, H)\n                if H > 2 and H != G and H in s.group.get_max_subgroup_numbers():\n                    struc_h = s.subgroup_once(eps=0.05, H=H, group_type=gtype, mut_lat=False)\n                    try:\n                        sup = supergroups(struc_h, G=G, d_tol=0.3, max_per_G=500)\n                        if sup.strucs is not None:\n                            match = False\n                            for struc in sup.strucs:\n                                pmg_g = struc.to_pymatgen()\n                                if sm.StructureMatcher().fit(pmg_g, pmg_s1):\n                                    match = True\n                                    break\n                            if not match:\n                                print(\"Cannot recover the original structure\", G, \"<-\", H)\n                        else:\n                            print(\"Error in supergroup\", G, \"<-\", H)\n                    except RuntimeError:\n                        print(\"no splitter skip\", name)\n"
  },
  {
    "path": "pyxtal/miscellaneous/mol.py",
    "content": "from glob import glob\n\nimport pymatgen as mg\nfrom rdkit import Chem\nfrom rdkit.Chem import AllChem\n\ndata = {}\ndata[\"HAHCOI\"] = \"s1c2ccc3scc4ccc(c1)c2c34\"\ndata[\"JAPWIH\"] = \"s1ccc2cc3sc4cc5ccsc5cc4c3cc12\"\ndata[\"WEXBOS\"] = \"s1c(c2ccccc2)c(c2ccccc2)c2c1c(c(s2)c1ccccc1)c1ccccc1\"\ndata[\"LAGNAL\"] = \"s1c(/C=N/[C@H](C)c2ccc(F)cc2)ccc1/C=N/[C@H](C)c1ccc(F)cc1\"\ndata[\"YICMOP\"] = \"s1cccc1c1c(F)c(OC)c(c2sccc2)c(F)c1OC\"\ndata[\"MERQIM\"] = \"s1c2c(c3c1SCCC3)cc1sc3SCCCc3c1c2\"\ndata[\"LUFHAW\"] = \"CC1=CC2=C(S1)C3=CC4=C(C=C3C=C2)C5=C(C=C4)C=C(S5)C\"\n# smi, cif = \"s1c2ccc3scc4ccc(c1)c2c34\", \"HAHCOI.cif\"\n# smi, cif = \"s1ccc2cc3sc4cc5ccsc5cc4c3cc12\", \"JAPWIH.cif\"\n# smi, cif = \"s1c(c2ccccc2)c(c2ccccc2)c2c1c(c(s2)c1ccccc1)c1ccccc1\", \"WEXBOS.cif\"\n# smi, cif = \"s1c(/C=N/[C@H](C)c2ccc(F)cc2)ccc1/C=N/[C@H](C)c1ccc(F)cc1\",\"LAGNAL.cif\"\n# smi, cif = \"s1cccc1c1c(F)c(OC)c(c2sccc2)c(F)c1OC\", \"YICMOP.cif\"\n# smi, cif = \"s1c2c(c3c1SCCC3)cc1sc3SCCCc3c1c2\", \"MERQIM.cif\"\n# smi, cif = \"CC1=CC2=C(S1)C3=CC4=C(C=C3C=C2)C5=C(C=C4)C=C(S5)C\", \"LUFHAW.cif\"\n\nfor file in glob(\"*.cif\"):\n    name = file[:-4]\n    if name in data:\n        smi = data[name]\n        m = Chem.MolFromSmiles(smi)\n        m2 = Chem.AddHs(m)\n        AllChem.EmbedMolecule(m2)\n        cids = AllChem.EmbedMultipleConfs(m2, numConfs=1)\n        xyz = Chem.rdmolfiles.MolToXYZBlock(m2, 0)\n        mol = mg.Molecule.from_str(xyz, fmt=\"xyz\")\n        mol.to(filename=name + \".xyz\")\n"
  },
  {
    "path": "pyxtal/miscellaneous/regen_wyckoffs_list.py",
    "content": "from structure import *\n\n\ndef so(string):\n    return SymmOp.from_xyz_string(string)\n\n\ndef extras(sg):\n    \"\"\"\n    Returns the additional symmetry sites ('+1/2,+1/2,+1/2', etc.) for a given spacegroup\n    \"\"\"\n    symbol = sg_symbol_from_int_number(sg)\n    letter = symbol[0]\n    if letter == \"P\":\n        return [so(\"x, y, z\")]\n    elif letter == \"A\":\n        return [so(\"x, y, z\"), so(\"x, y+1/2, z+1/2\")]\n    elif letter == \"C\":\n        return [so(\"x, y, z\"), so(\"x+1/2, y+1/2, z\")]\n    elif letter == \"I\":\n        return [so(\"x, y, z\"), so(\"x+1/2, y+1/2, z+1/2\")]\n    elif letter in [\"R\"]:\n        return [so(\"x, y, z\"), so(\"x+2/3, y+1/3, z+1/3\"), so(\"x+1/3, y+2/3, z+2/3\")]\n    elif letter in [\"F\"]:\n        return [\n            so(\"x, y, z\"),\n            so(\"x, y+1/2, z+1/2\"),\n            so(\"x+1/2, y, z+1/2\"),\n            so(\"x+1/2, y+1/2, z\"),\n        ]\n    else:\n        return \"Error: Could not determine lattice type\"\n\n\nnew_wyckoffs_all = [None]\nfor sg in range(1, 231):\n    new_wyckoffs_all.append([])\n    ext = extras(sg)\n    old_wyckoffs = get_wyckoffs(sg)\n    for wp in old_wyckoffs:\n        new_wyckoffs_all[-1].append([])\n        short_length = int(len(wp) / len(ext))\n        short_wp = wp[:short_length]\n        for e in ext:\n            for point in short_wp:\n                new_wyckoffs_all[-1][-1].append((e * point).as_xyz_string())\n"
  },
  {
    "path": "pyxtal/miscellaneous/search_csd_from_pubchem.py",
    "content": "import json\nimport urllib\nfrom pprint import pprint\n\nimport pubchempy as pcp\n\n\ndef get_similar_cids(base, MaxRecords):\n    \"\"\"\n    Parameters:\n    base: PubChem CID of Starting chemical\n    MaxRecords: Number of Similar Compounds\n\n    Returns:\n    List of the CIDs of PubChem compounds similar to the base compound.\n\n    Accuracy decreases deeper into PubChem search algorithm\n    \"\"\"\n    if type(base) == int:\n        base = str(base)\n    cids = pcp.get_compounds(base, searchtype=\"similarity\", MaxRecords=MaxRecords)\n    results = []\n    for x in cids:\n        print(x.cid)\n        csd_codes = check_for_ccdc_structures(x.cid)\n        if len(csd_codes) > 0:\n            d = {\n                \"cid\": x.cid,\n                \"smiles\": x.canonical_smiles,\n                \"name\": x.iupac_name,\n                \"csd_codes\": csd_codes,\n            }\n            results.append(d)\n            pprint(d)\n\n    return results\n\n\ndef check_for_ccdc_structures(cid):\n    \"\"\"'\n    Parameters:\n    cid: PubChem cid\n\n    Returns:\n    CIDs that have CCDC crystal structure data\n\n    \"\"\"\n    url0 = \"https://pubchem.ncbi.nlm.nih.gov/rest/pug_view/data/compound/\"\n    cid = str(cid)\n    url = url0 + cid + \"/JSON\"\n    csd_codes = []\n    try:\n        response = urllib.request.urlopen(url)\n        data = json.loads(response.read())\n        if len(data[\"Record\"][\"Section\"][0][\"Section\"]) == 3:\n            infos = data[\"Record\"][\"Section\"][0][\"Section\"][2][\"Section\"][0][\"Information\"]\n            for info in infos:\n                csd_codes.append(info[\"Value\"][\"StringWithMarkup\"][0][\"String\"])\n    except:\n        print(\"Fail to parse the following url\", url)\n    return csd_codes\n\n\nif __name__ == \"__main__\":\n    entries = get_similar_cids(2244, 20)\n    cids = []\n    url = \"https://www.ccdc.cam.ac.uk/structures/Search?Ccdcid=\"\n    for entry in entries:\n        cids += entry[\"csd_codes\"]\n        for code in entry[\"csd_codes\"]:\n            url += code + \",%20\"\n    url = url[:-4]\n    url += \"&DatabaseToSearch=Published\"\n    print(url)\n"
  },
  {
    "path": "pyxtal/miscellaneous/speed.py",
    "content": "from pyxtal.crystal import Lattice\nfrom pyxtal.molecular_crystal import molecular_crystal\n\nlat0 = Lattice.from_para(21.339, 5.714, 8.900, 90, 90.529, 90, ltype=\"monoclinic\")\nfor i in range(2):\n    lat = lat0.swap_axis(random=True)\n    lat = lat.swap_angle()\n    struc = molecular_crystal(4, [\"OFIXUX\"], [2], lattice=lat)\n    print(i, struc.valid)\n"
  },
  {
    "path": "pyxtal/miscellaneous/subgroup_data.py",
    "content": "from pyxtal.symmetry import Group\n\nlength1 = 0\nlength2 = 0\nlength3 = 0\nlength_greater = 0\n\nfor g in range(1, 231):\n    wyc = Group(g).get_max_t_subgroup()\n    for re, h in zip(wyc[\"relations\"], wyc[\"subgroup\"]):\n        for pos in re:\n            length = len(pos)\n            if length == 1:\n                length1 += 1\n\n            elif length == 2:\n                length2 += 1\n\n            elif length == 3:\n                length3 += 1\n                # print(g, h, pos)\n            else:\n                length_greater += 1\n                print(g, h, pos)\n"
  },
  {
    "path": "pyxtal/miscellaneous/test.py",
    "content": "\"\"\"\nTest the functionality of ss_strin_from_ops\nprints Hermann-Mauguin point group symbol for the site symmetry of each Wyckoff\nposition in each space group. Can be compared with WYCKPOS on the Bilbao server:\nhttp://www.cryst.ehu.es/cgi-bin/cryst/programs/nph-table?from=getwp\nNote that our notation is slightly different: if only one axis is present, Bilbao\nsometimes forgoes placing dots in the symbol. We keep these dots to differentiate\nbetween axes.\n\"\"\"\n\nfrom structure import *\n\nletters = \"abcdefghijklmnopqrstuvwxyzA\"\nfor sg in range(1, 231):\n    print(\"=====\" + str(sg) + \"=====\")\n    symmetry = get_wyckoff_symmetry(sg, molecular=True)\n    length = len(symmetry)\n    for i, _wp in enumerate(symmetry):\n        letter = letters[length - i - 1]\n        ops = symmetry[i][0]\n        print(letter + \": \" + ss_string_from_ops(ops, sg))\n"
  },
  {
    "path": "pyxtal/miscellaneous/test_1d_rep.py",
    "content": "from warnings import simplefilter\n\nimport pymatgen.analysis.structure_matcher as sm\n\nfrom pyxtal import pyxtal\nfrom pyxtal.representation import representation\n\nsimplefilter(action=\"ignore\", category=DeprecationWarning)\n\nfrom ccdc.crystal import PackingSimilarity\nfrom ccdc.io import CrystalReader\n\nengine = PackingSimilarity()\n\nimport numpy as np\n\nnp.seterr(all=\"ignore\")\n\nmatcher = sm.StructureMatcher(ltol=0.3, stol=0.3, angle_tol=10)\ncodes = [\n    \"XULDUD\",\n    \"ABACOW\",\n    \"DAZJOG\",\n    \"BINREY\",\n    \"CUVLIO\",\n    \"FUPKIK\",\n    \"FURWOG\",\n    \"HUJFAV\",\n    \"IJEHOU\",\n    \"IFAQUE\",\n    \"JUMTAP\",\n    \"LELVIK\",\n    \"LOPQAL\",\n]\n\nstruc = pyxtal(molecular=True)\nfor i, code in enumerate(codes):\n    struc.from_CSD(code)\n    smiles = struc.tag[\"smiles\"].split(\".\")\n    rep = struc.get_1D_representation()\n    pmg1 = struc.to_pymatgen()\n    struc1 = representation.from_string(rep.to_string(), smiles).to_pyxtal()\n    pmg2 = struc1.to_pymatgen()\n    pmg1.remove_species(\"H\")\n    pmg2.remove_species(\"H\")\n    print(i, code, struc.group.symbol)\n    if matcher.fit(pmg1, pmg2):\n        # print(code, smiles, matcher.fit(pmg1, pmg2))\n        print(rep.to_string())\n        rep.to_standard_setting()\n        print(rep.to_string())\n    else:\n        struc.to_file(\"1.cif\")\n        struc1.to_file(\"2.cif\")\n        wp = struc.mol_sites[0]\n        xyz, _ = wp._get_coords_and_species(absolute=True, first=True)\n        print(code)\n        print(wp.molecule.torsionlist)\n        wp.molecule.get_rmsd(xyz, debug=True)\n\n        cryst0 = CrystalReader(\"1.cif\")[0]\n        cryst1 = CrystalReader(\"2.cif\")[0]\n        h = engine.compare(cryst0, cryst1)\n        # if h is None or h.nmatched_molecules<=10:\n        #    print(h.nmatched_molecules)\n        #    import sys; sys.exit()\n\nsmiles = [\"CC1=CC=C(C=C1)S(=O)(=O)C2=C(N=C(S2)C3=CC=C(C=C3)NC(=O)OCC4=CC=CC=C4)C\"]\nstrings = [\n    \"83 14.08  6.36 25.31  83.9 1 0.72 0.40 0.27  131.6  -17.0 -120.0  -83.8 -134.1 -174.5 -175.7 -168.8  173.9  178.0 -157.4 0\",\n    \"81 14.08  6.36 25.31  83.9 1 0.83 0.40 0.63  136.6  -21.6 -151.1 -101.1 -131.2  154.7 -176.4 -147.8  178.2 -179.1  -53.3 0\",\n    \"81 14.08  6.36 25.31  83.9 1 0.59 0.81 0.39 -117.8  -50.1  -95.3  -25.8  -80.6  164.7  155.9 -124.9 -159.2  178.6 -154.7 0\",\n    \"81 14.08  6.36 25.31  83.9 1 0.03 0.84 0.89  149.1   -8.0  -37.8  -39.9 -104.2  176.2 -179.6  137.8 -178.5 -173.3 -103.6 0\",\n    \"81 14.08  6.36 25.31  83.9 1 0.75 0.09 0.01  133.8  -19.5  -55.1  -86.7  -91.7 -175.0 -170.4 -176.8  173.3 -164.8  -58.4 0\",\n    \"81 14.08  6.36 25.31  83.9 1 0.72 0.44 0.01  135.2   27.5   97.2 -101.1 -105.1  -29.7 -169.7  -50.1  172.2 -173.1  131.6 0\",\n    \"82 14.00  6.34 25.26  83.6 1 0.21 0.08 0.54  146.0  -12.0   50.2  108.0  112.3 -166.3 -158.7  -35.5  172.3 -168.7  133.0 0\",\n    # \"83 14.08  6.36 25.31  83.9 1 0.25 0.91 0.06  136.4   20.0   52.2  -55.5  -79.7 -176.4 -160.9  109.2  168.9 -179.7  -25.7 0\",\n    # \"82 14.08  6.36 25.31  83.9 1 0.55 0.04 0.64 -130.1   15.3  -10.7   74.9   64.0  177.4  180.0    8.7  177.8  174.6 -174.2 0\",\n    # \"82 14.08  6.36 25.31  83.9 1 0.99 0.02 0.62   38.4   11.6  -16.2  -86.3   71.3  -19.5  164.9 -176.4 -168.2  174.4   88.1 0\",\n    # \"83 14.08  6.36 25.31  83.9 1 0.67 0.40 0.87  136.6  -21.6   28.9 -101.1 -131.2  154.7 -176.4 -147.8  178.2 -179.1  -53.3 0\",\n    # \"82 14.08  6.36 25.31  83.9 1 0.18 0.53 0.12  -84.9   36.3   89.1   15.6   54.8  140.6 -179.4 -138.3  178.5  169.7    4.7 0\",\n    # \"82 14.08  6.36 25.31  83.9 1 0.47 0.75 0.11  -44.4  -26.0 -138.6  -50.5  -64.5 -174.1  161.8   20.8 -167.9  171.7   68.2 0\",\n    # \"82 14.08  6.36 25.31  83.9 1 0.75 0.43 0.55  -44.9   16.9   58.5  -85.6  -87.7 -175.5 -170.6 -174.4  175.3 -170.0  -82.7 0\",\n    # \"83 14.08  6.36 25.31  83.9 1 0.52 0.50 0.62  -39.5   -0.4  -32.5  -59.9  -76.0   11.3  169.5  166.5 -148.6  -87.3   82.6 0\",\n    # \"83 14.08  6.36 25.31  83.9 1 0.42 0.98 0.67  141.3  -16.3 -123.8   62.9  -73.5  -39.4  178.8 -151.7 -175.1 -171.6   35.4 0\",\n    # \"82 14.08  6.36 25.31  83.9 1 0.96 0.16 0.37  -41.7   45.2   -6.2  -93.1  -81.2    8.3 -146.8  147.2  147.2  -76.0   84.9 0\",\n    # \"83 14.08  6.36 25.31  83.9 1 0.92 0.68 0.13  110.3  -46.9 -152.1  -80.7  -79.4 -172.6 -173.1 -140.8  169.0  165.6  155.7 0\",\n]\nfor i, string in enumerate(strings):\n    print(str(i) + \"  \" + string)\n    rep4 = representation.from_string(string, smiles)\n    pmg1 = rep4.to_pyxtal().to_pymatgen()\n    pmg1.remove_species(\"H\")\n    rep4.to_standard_setting()\n    pmg2 = rep4.to_pyxtal().to_pymatgen()\n    pmg2.remove_species(\"H\")\n    print(i, rep4.to_string(), matcher.fit(pmg1, pmg2))\n"
  },
  {
    "path": "pyxtal/miscellaneous/test_3D_molecule.py",
    "content": "import os\nfrom time import time\n\nimport numpy as np\nfrom pymatgen.io.cif import CifWriter\n\nfrom pyxtal.molecular_crystal import molecular_crystal\n\nrng = np.random.default_rng(0)\nmols = [\"CH4\", \"H2O\", \"NH3\", \"urea\", \"benzene\", \"roy\", \"aspirin\", \"pentacene\", \"C60\"]\nfilename = \"out.cif\"\nif os.path.isfile(filename):\n    os.remove(filename)\n\nfor mol in mols:\n    for _i in range(10):\n        run = True\n        while run:\n            sg = rng.integers(4, 191)\n            start = time()\n            rand_crystal = molecular_crystal(sg, [mol], [4], 1.0)\n            if rand_crystal.valid:\n                run = False\n                print(\n                    f\"Mol:{mol:10s}  SG:{sg:3d} Time:{time() - start:4.2f} seconds, N_attempts:{rand_crystal.numattempts:4d} Vol: {rand_crystal.volume:6.2f}\"\n                )\n                content = str(CifWriter(rand_crystal.struct, symprec=0.1))\n                with open(filename, \"a+\") as f:\n                    f.writelines(content)\n"
  },
  {
    "path": "pyxtal/miscellaneous/test_CSD.py",
    "content": "from pyxtal import pyxtal\n\ns = pyxtal(molecular=True)\ncodes = [\n    \"CABCOB02\",\n    \"CEFMEN\",\n    \"DACSOP\",\n    \"EHIVIC\",\n    \"EWETOQ\",\n    \"JEFWAS\",\n    \"KIVXEU\",\n    \"KUCPON\",\n    \"MUMMOY\",\n    \"OCEPUK\",\n    \"TABREX01\",\n    \"TBTYAC01\",\n    \"XEZGUF\",\n    \"ZIWTUX\",\n]\nfor code in codes:\n    s.from_CSD(code)\n    sph = s.get_spherical_images()\n    sph.plot_sph_images(figname=\"t.png\", molecule=True)\n"
  },
  {
    "path": "pyxtal/miscellaneous/test_all.py",
    "content": "\"\"\"\nTest script for pyXtal version 0.1dev. Tests core functions for all modules.\n\"\"\"\n\n# Custom print function for output to file\n_summary_text_ = \"\"\n\noldprint = print\n\n\ndef newprint(text):\n    global _summary_text_\n    oldprint(text)\n    if _summary_text_ != \"\":\n        _summary_text_ += \"\\n\"\n    _summary_text_ += text\n\n\nprint = newprint\n\nimport sys\n\nsys.settrace(None)\n\noutstructs = []\noutstrings = []\n\n\nclass Logger:\n    def __init__(self):\n        self.terminal = sys.stdout\n        self.log = open(\"Summary.txt\", \"w\")\n\n    def write(self, message):\n        self.terminal.write(message)\n        self.log.write(message)\n\n    def flush(self):\n        # this flush method is needed for python 3 compatibility.\n        # this handles the flush command by doing nothing.\n        # you might want to specify some extra behavior here.\n        pass\n\n\nsys.stdout = Logger()\n\n\ndef compare_wyckoffs(num1, num2, dim=3):\n    \"\"\"Given 2 groups, return whether the second point\n    group has equal or greater symmetry than the first group.\"\"\"\n    from numpy import allclose\n\n    if num1 == \"???\":\n        print(\"Error: invalid value for num1 passed to compare_wyckoffs\")\n        return None\n    if num2 == \"???\":\n        return False\n    # Get general positions for both groups\n    if dim == 3:\n        from pyxtal.symmetry import get_wyckoffs\n\n        g1 = get_wyckoffs(num1)[0]\n        g2 = get_wyckoffs(num2)[0]\n    elif dim == 2:\n        from pyxtal.symmetry import get_layer\n\n        g1 = get_layer(num1)[0]\n        g2 = get_layer(num2)[0]\n    elif dim == 1:\n        from pyxtal.symmetry import get_rod\n\n        g1 = get_rod(num1)[0]\n        g2 = get_rod(num2)[0]\n    elif dim == 0:\n        from pyxtal.symmetry import get_point\n\n        g1 = get_point(num1)[0]\n        g2 = get_point(num2)[0]\n    # If group 2 has higher symmetry\n    if len(g2) > len(g1):\n        return True\n    # Compare point group operations\n    for i, op2 in enumerate(g2):\n        op1 = g1[i]\n        m1 = op1.rotation_matrix\n        m2 = op2.rotation_matrix\n        if not allclose(m1, m2):\n            return False\n    return True\n\n\ndef check_struct_group(crystal, group, dim=3, tol=1e-2):\n    # Supress pymatgen/numpy complex casting warnings\n    import warnings\n    from copy import deepcopy\n\n    from pyxtal.crystal import random_crystal\n    from pyxtal.molecular_crystal import molecular_crystal\n\n    with warnings.catch_warnings():\n        warnings.simplefilter(\"ignore\")\n\n        \"\"\"Given a pymatgen structure, group number, and dimension, return\n        whether or not the structure matches the group number.\"\"\"\n        if isinstance(crystal, (random_crystal, molecular_crystal)):\n            lattice = crystal.struct.lattice.matrix\n            if dim != 0:\n                old_coords = deepcopy(crystal.struct.frac_coords)\n                old_species = deepcopy(crystal.struct.atomic_numbers)\n            elif dim == 0:\n                old_coords = deepcopy(crystal.cart_coords)\n                old_species = deepcopy(crystal.species)\n        else:\n            lattice = np.array([[1, 0, 0], [0, 1, 0], [0, 0, 1]])\n            old_coords = np.array(crystal)\n            old_species = [\"C\"] * len(old_coords)\n\n        from copy import deepcopy\n\n        from pyxtal.symmetry import distance, filtered_coords\n\n        PBC = [1, 1, 1]\n\n        # Obtain the generators for the group\n        if dim == 3:\n            from pyxtal.symmetry import get_wyckoffs\n\n            generators = get_wyckoffs(group)[0]\n\n        elif dim == 2:\n            from pyxtal.symmetry import get_layer\n\n            generators = get_layer(group)[0]\n            PBC = [1, 1, 0]\n        elif dim == 1:\n            from pyxtal.symmetry import get_rod\n\n            generators = get_rod(group)[0]\n            PBC = [0, 0, 1]\n        elif dim == 0:\n            from pyxtal.symmetry import Group\n\n            generators = Group(group, dim=0)[0]\n            PBC = [0, 0, 0]\n\n        # TODO: Add check for lattice symmetry\n\n        # Apply SymmOps to generate new points\n        # old_coords = filtered_coords(struct.frac_coords,PBC=PBC)\n\n        new_coords = []\n        new_species = []\n        for i, point in enumerate(old_coords):\n            for j, op in enumerate(generators):\n                if j != 0:\n                    new_coords.append(op.operate(point))\n                    new_species.append(old_species[i])\n        # new_coords = filtered_coords(new_coords,PBC=PBC)\n\n        # Check that all points in new list are still in old\n        failed = False\n        list(range(len(new_coords)))\n        for i, point1 in enumerate(new_coords):\n            found = False\n            for j, point2 in enumerate(old_coords):\n                if new_species[i] == old_species[j]:\n                    difference = filtered_coords(point2 - point1, PBC=PBC)\n                    if distance(difference, lattice, PBC=PBC) <= tol:\n                        found = True\n                        break\n            if found is False:\n                failed = True\n                break\n\n        return failed is False\n\n\n# Check if module and classes work correctly\ndef passed():\n    global failed_module\n    global failed\n    return bool(failed_module is False and failed is False)\n\n\n# Reset flags for module and class\ndef reset():\n    global failed_module\n    global failed\n    failed_module = False\n    failed = False\n\n\n# Set flags for package, module, class if error occurs\ndef fail(*argv):\n    e = argv[0] if argv != () else \"Unknown error\"\n    global failed_package\n    global failed_module\n    global failed\n    failed_package = True\n    failed_module = True\n    failed = True\n    try:\n        print(\"~~~ Error:\")\n        import traceback\n\n        extype, value, tb = sys.exc_info()\n        traceback.print_exc()\n    except:\n        print(\"~~~ Error: \", e)\n\n\n# Print whether module passed or failed\ndef check():\n    if passed():\n        pass  # print(\"Success!\")\n    else:\n        print(\"~~~ Failed module ~~~\")\n\n\n# Call at end of script, or if module fails\ndef end(condition=1):\n    print(\"===\")\n    if failed_package is False:\n        print(\"All modules passed!\")\n        if condition == 1:\n            sys.exit(0)\n        elif condition == 2:\n            pass\n    else:\n        print(\"One or more modules failed. Try reinstalling the package.\")\n        sys.exit(0)\n\n\ndef test_atomic():\n    global outstructs\n    global outstrings\n    print(\"=== Testing generation of atomic 3D crystals. This may take some time. ===\")\n    from time import time\n\n    from pymatgen.symmetry.analyzer import SpacegroupAnalyzer\n    from spglib import get_symmetry_dataset\n\n    from pyxtal.crystal import cellsize, random_crystal\n    from pyxtal.symmetry import get_wyckoffs\n\n    slow = []\n    failed = []\n    print(\"  Spacegroup #  |Generated (SPG)|Generated (PMG)|  Time Elapsed\")\n    skip = []  # [124, 139, 166, 167, 196, 202, 203, 204, 207, 209, 210, 216, 217, 219, 220, 221, 223, 225, 226, 227, 228, 229, 230] #slow to generate\n    for sg in range(1, 231):\n        if sg not in skip:\n            multiplicity = len(get_wyckoffs(sg)[0]) / cellsize(sg)  # multiplicity of the general position\n            start = time()\n            rand_crystal = random_crystal(sg, [\"C\"], [multiplicity], 1.0)\n            end = time()\n            timespent = np.around((end - start), decimals=2)\n            t = str(timespent)\n            if len(t) == 3:\n                t += \"0\"\n            t += \" s\"\n            if timespent >= 1.0:\n                t += \" ~\"\n            if timespent >= 3.0:\n                t += \"~\"\n            if timespent >= 10.0:\n                t += \"~\"\n            if timespent >= 60.0:\n                t += \"~\"\n                slow.append(sg)\n            if rand_crystal.valid:\n                check = False\n                ans1 = get_symmetry_dataset(rand_crystal.spg_struct, symprec=1e-1)\n                ans1 = \"???\" if ans1 is None else ans1[\"number\"]\n                sga = SpacegroupAnalyzer(rand_crystal.struct)\n                ans2 = \"???\"\n                if sga is not None:\n                    try:\n                        ans2 = sga.get_space_group_number()\n                    except:\n                        ans2 = \"???\"\n                if ans2 is None:\n                    ans2 = \"???\"\n\n                # Compare expected and detected groups\n                if ans1 == \"???\" and ans2 == \"???\":\n                    check = True\n                elif ans1 == \"???\":\n                    if int(ans2) > sg:\n                        pass\n                elif ans2 == \"???\":\n                    if int(ans1) > sg:\n                        pass\n                else:\n                    if ans1 < sg and ans2 < sg:\n                        if compare_wyckoffs(sg, ans1) or compare_wyckoffs(sg, ans2):\n                            pass\n                        else:\n                            check = True\n\n                # output cif files for incorrect space groups\n                if check is True:\n                    if check_struct_group(rand_crystal, sg, dim=3):\n                        pass\n                    else:\n                        t += \" xxxxx\"\n                        outstructs.append(rand_crystal.struct)\n                        outstrings.append(str(\"3D_Atomic_\" + str(sg) + \".vasp\"))\n                print(\"\\t\" + str(sg) + \"\\t|\\t\" + str(ans1) + \"\\t|\\t\" + str(ans2) + \"\\t|\\t\" + t)\n            else:\n                print(\"~~~~ Error: Could not generate space group \" + str(sg) + \" after \" + t)\n                failed.append(sg)\n    if slow != []:\n        print(\"~~~~ The following space groups took more than 60 seconds to generate:\")\n        for i in slow:\n            print(\"     \" + str(i))\n    if failed != []:\n        print(\"~~~~ The following space groups failed to generate:\")\n        for i in failed:\n            print(\"     \" + str(i))\n\n\ndef test_molecular():\n    global outstructs\n    global outstrings\n    print(\"=== Testing generation of molecular 3D crystals. This may take some time. ===\")\n    from time import time\n\n    from pymatgen.symmetry.analyzer import SpacegroupAnalyzer\n    from spglib import get_symmetry_dataset\n\n    from pyxtal.crystal import cellsize\n    from pyxtal.molecular_crystal import molecular_crystal\n    from pyxtal.symmetry import get_wyckoffs\n\n    slow = []\n    failed = []\n    print(\"  Spacegroup #  |Generated (SPG)|Generated (PMG)|  Time Elapsed\")\n    skip = []  # [24, 183, 202, 203, 209, 210, 216, 219, 225, 226, 227, 228, 229, 230] #slow\n    for sg in range(1, 231):\n        if sg not in skip:\n            multiplicity = len(get_wyckoffs(sg)[0]) / cellsize(sg)  # multiplicity of the general position\n            start = time()\n            rand_crystal = molecular_crystal(sg, [\"H2O\"], [multiplicity], 2.5)\n            end = time()\n            timespent = np.around((end - start), decimals=2)\n            t = str(timespent)\n            if len(t) == 3:\n                t += \"0\"\n            t += \" s\"\n            if timespent >= 1.0:\n                t += \" ~\"\n            if timespent >= 3.0:\n                t += \"~\"\n            if timespent >= 10.0:\n                t += \"~\"\n            if timespent >= 60.0:\n                t += \"~\"\n                slow.append(sg)\n            if rand_crystal.valid:\n                check = False\n                ans1 = get_symmetry_dataset(rand_crystal.spg_struct, symprec=1e-1)\n                ans1 = \"???\" if ans1 is None else ans1[\"number\"]\n                sga = SpacegroupAnalyzer(rand_crystal.struct)\n                ans2 = \"???\"\n                if sga is not None:\n                    try:\n                        ans2 = sga.get_space_group_number()\n                    except:\n                        ans2 = \"???\"\n                if ans2 is None:\n                    ans2 = \"???\"\n\n                # Compare expected and detected groups\n                if ans1 == \"???\" and ans2 == \"???\":\n                    check = True\n                elif ans1 == \"???\":\n                    if int(ans2) > sg:\n                        pass\n                elif ans2 == \"???\":\n                    if int(ans1) > sg:\n                        pass\n                else:\n                    if ans1 < sg and ans2 < sg:\n                        if compare_wyckoffs(sg, ans1) or compare_wyckoffs(sg, ans2):\n                            pass\n                        else:\n                            check = True\n\n                # output cif files for incorrect space groups\n                if check is True:\n                    if check_struct_group(rand_crystal, sg, dim=3):\n                        pass\n                    else:\n                        t += \" xxxxx\"\n                        outstructs.append(rand_crystal.struct)\n                        outstrings.append(str(\"3D_Molecular_\" + str(sg) + \".vasp\"))\n                print(\"\\t\" + str(sg) + \"\\t|\\t\" + str(ans1) + \"\\t|\\t\" + str(ans2) + \"\\t|\\t\" + t)\n            else:\n                print(\"~~~~ Error: Could not generate space group \" + str(sg) + \" after \" + t)\n                failed.append(sg)\n    if slow != []:\n        print(\"~~~~ The following space groups took more than 60 seconds to generate:\")\n        for i in slow:\n            print(\"     \" + str(i))\n    if failed != []:\n        print(\"~~~~ The following space groups failed to generate:\")\n        for i in failed:\n            print(\"     \" + str(i))\n\n\ndef test_atomic_2D():\n    global outstructs\n    global outstrings\n    print(\"=== Testing generation of atomic 2D crystals. This may take some time. ===\")\n    from time import time\n\n    from pyxtal.crystal import random_crystal_2D\n    from pyxtal.symmetry import Group\n\n    slow = []\n    failed = []\n    print(\"  Layer group # |     Symbol    |  Time Elapsed\")\n    skip = []\n    for sg in range(1, 81):\n        if sg not in skip:\n            g = Group(sg, dim=2)\n            multiplicity = len(g[0])  # multiplicity of the general position\n            start = time()\n            rand_crystal = random_crystal_2D(sg, [\"C\"], [multiplicity], 4.0)\n            end = time()\n            timespent = np.around((end - start), decimals=2)\n            t = str(timespent)\n            if len(t) == 3:\n                t += \"0\"\n            t += \" s\"\n            if timespent >= 1.0:\n                t += \" ~\"\n            if timespent >= 3.0:\n                t += \"~\"\n            if timespent >= 10.0:\n                t += \"~\"\n            if timespent >= 60.0:\n                t += \"~\"\n                slow.append(sg)\n            if rand_crystal.valid:\n                if check_struct_group(rand_crystal, sg, dim=2):\n                    pass\n                else:\n                    t += \" xxxxx\"\n                    outstructs.append(rand_crystal.struct)\n                    outstrings.append(str(\"atomic_2D_\" + str(sg) + \".vasp\"))\n                symbol = g.symbol\n                print(\"\\t\" + str(sg) + \"\\t|\\t\" + symbol + \"\\t|\\t\" + t)\n            else:\n                print(\"~~~~ Error: Could not generate layer group \" + str(sg) + \" after \" + t)\n                failed.append(sg)\n    if slow != []:\n        print(\"~~~~ The following layer groups took more than 60 seconds to generate:\")\n        for i in slow:\n            print(\"     \" + str(i))\n    if failed != []:\n        print(\"~~~~ The following layer groups failed to generate:\")\n        for i in failed:\n            print(\"     \" + str(i))\n\n\ndef test_molecular_2D():\n    global outstructs\n    global outstrings\n    print(\"=== Testing generation of molecular 2D crystals. This may take some time. ===\")\n    from time import time\n\n    from pyxtal.molecular_crystal import molecular_crystal_2D\n    from pyxtal.symmetry import Group\n\n    slow = []\n    failed = []\n    print(\"  Layer group # |     Symbol    |  Time Elapsed\")\n    skip = []\n    for sg in range(1, 81):\n        if sg not in skip:\n            g = Group(sg, dim=2)\n            multiplicity = len(g[0])  # multiplicity of the general position\n            start = time()\n            rand_crystal = molecular_crystal_2D(sg, [\"H2O\"], [multiplicity], 4.0)\n            end = time()\n            timespent = np.around((end - start), decimals=2)\n            t = str(timespent)\n            if len(t) == 3:\n                t += \"0\"\n            t += \" s\"\n            if timespent >= 1.0:\n                t += \" ~\"\n            if timespent >= 3.0:\n                t += \"~\"\n            if timespent >= 10.0:\n                t += \"~\"\n            if timespent >= 60.0:\n                t += \"~\"\n                slow.append(sg)\n            if rand_crystal.valid:\n                if check_struct_group(rand_crystal, sg, dim=2):\n                    pass\n                else:\n                    t += \" xxxxx\"\n                    outstructs.append(rand_crystal.struct)\n                    outstrings.append(str(\"molecular_2D_\" + str(sg) + \".vasp\"))\n                symbol = g.symbol\n                print(\"\\t\" + str(sg) + \"\\t|\\t\" + symbol + \"\\t|\\t\" + t)\n            else:\n                print(\"~~~~ Error: Could not generate layer group \" + str(sg) + \" after \" + t)\n                failed.append(sg)\n    if slow != []:\n        print(\"~~~~ The following layer groups took more than 60 seconds to generate:\")\n        for i in slow:\n            print(\"     \" + str(i))\n    if failed != []:\n        print(\"~~~~ The following layer groups failed to generate:\")\n        for i in failed:\n            print(\"     \" + str(i))\n\n\ndef test_atomic_1D():\n    global outstructs\n    global outstrings\n    print(\"=== Testing generation of atomic 1D crystals. This may take some time. ===\")\n    from time import time\n\n    from pymatgen.symmetry.analyzer import SpacegroupAnalyzer\n    from spglib import get_symmetry_dataset\n\n    from pyxtal.crystal import random_crystal_1D\n    from pyxtal.symmetry import get_rod\n\n    slow = []\n    failed = []\n    print(\"    Rod group   | Gen sg. (SPG) | Gen. sg (PMG) |Time Elapsed\")\n    skip = []  # slow to generate\n    for num in range(1, 76):\n        if num not in skip:\n            multiplicity = len(get_rod(num)[0])  # multiplicity of the general position\n            start = time()\n            rand_crystal = random_crystal_1D(num, [\"H\"], [multiplicity], 4.0)\n            end = time()\n            timespent = np.around((end - start), decimals=2)\n            t = str(timespent)\n            if len(t) == 3:\n                t += \"0\"\n            t += \" s\"\n            if timespent >= 1.0:\n                t += \" ~\"\n            if timespent >= 3.0:\n                t += \"~\"\n            if timespent >= 10.0:\n                t += \"~\"\n            if timespent >= 60.0:\n                t += \"~\"\n                slow.append(num)\n            if rand_crystal.valid:\n                try:\n                    ans1 = get_symmetry_dataset(rand_crystal.spg_struct, symprec=1e-1)\n                except:\n                    ans1 = \"???\"\n                ans1 = \"???\" if ans1 is None or ans1 == \"???\" else ans1[\"number\"]\n                sga = SpacegroupAnalyzer(rand_crystal.struct)\n                try:\n                    ans2 = sga.get_space_group_number()\n                except:\n                    ans2 = \"???\"\n                if ans2 is None:\n                    ans2 = \"???\"\n\n                check = True\n\n                # output cif files for incorrect space groups\n                if check is True:\n                    if check_struct_group(rand_crystal, num, dim=1):\n                        pass\n                    else:\n                        t += \" xxxxx\"\n                        outstructs.append(rand_crystal.struct)\n                        outstrings.append(str(\"1D_Atomic_\" + str(num) + \".vasp\"))\n                print(\"\\t\" + str(num) + \"\\t|\\t\" + str(ans1) + \"\\t|\\t\" + str(ans2) + \"\\t|\\t\" + t)\n            else:\n                print(\"~~~~ Error: Could not generate layer group \" + str(num) + \" after \" + t)\n                failed.append(num)\n    if slow != []:\n        print(\"~~~~ The following layer groups took more than 60 seconds to generate:\")\n        for i in slow:\n            print(\"     \" + str(i))\n    if failed != []:\n        print(\"~~~~ The following layer groups failed to generate:\")\n        for i in failed:\n            print(\"     \" + str(i))\n\n\ndef test_molecular_1D():\n    global outstructs\n    global outstrings\n    print(\"=== Testing generation of molecular 1D crystals. This may take some time. ===\")\n    from time import time\n\n    from pymatgen.symmetry.analyzer import SpacegroupAnalyzer\n    from spglib import get_symmetry_dataset\n\n    from pyxtal.molecular_crystal import molecular_crystal_1D\n    from pyxtal.symmetry import get_rod\n\n    slow = []\n    failed = []\n    print(\"    Rod group   | Gen sg. (SPG) | Gen. sg (PMG) |Time Elapsed\")\n    skip = []  # slow to generate\n    for num in range(1, 76):\n        if num not in skip:\n            multiplicity = len(get_rod(num)[0])  # multiplicity of the general position\n            start = time()\n            rand_crystal = molecular_crystal_1D(num, [\"H2O\"], [multiplicity], 4.0)\n            end = time()\n            timespent = np.around((end - start), decimals=2)\n            t = str(timespent)\n            if len(t) == 3:\n                t += \"0\"\n            t += \" s\"\n            if timespent >= 1.0:\n                t += \" ~\"\n            if timespent >= 3.0:\n                t += \"~\"\n            if timespent >= 10.0:\n                t += \"~\"\n            if timespent >= 60.0:\n                t += \"~\"\n                slow.append(num)\n            if rand_crystal.valid:\n                try:\n                    ans1 = get_symmetry_dataset(rand_crystal.spg_struct, symprec=1e-1)\n                except:\n                    ans1 = \"???\"\n                ans1 = \"???\" if ans1 is None or ans1 == \"???\" else ans1[\"number\"]\n                sga = SpacegroupAnalyzer(rand_crystal.struct)\n                try:\n                    ans2 = sga.get_space_group_number()\n                except:\n                    ans2 = \"???\"\n                if ans2 is None:\n                    ans2 = \"???\"\n\n                check = True\n\n                # output cif files for incorrect space groups\n                if check is True:\n                    if check_struct_group(rand_crystal, num, dim=1):\n                        pass\n                    else:\n                        t += \" xxxxx\"\n                        outstructs.append(rand_crystal.struct)\n                        outstrings.append(str(\"1D_Molecular_\" + str(num) + \".vasp\"))\n                print(\"\\t\" + str(num) + \"\\t|\\t\" + str(ans1) + \"\\t|\\t\" + str(ans2) + \"\\t|\\t\" + t)\n            else:\n                print(\"~~~~ Error: Could not generate layer group \" + str(num) + \" after \" + t)\n                failed.append(num)\n    if slow != []:\n        print(\"~~~~ The following layer groups took more than 60 seconds to generate:\")\n        for i in slow:\n            print(\"     \" + str(i))\n    if failed != []:\n        print(\"~~~~ The following layer groups failed to generate:\")\n        for i in failed:\n            print(\"     \" + str(i))\n\n\ndef test_cluster():\n    global outstructs\n    global outstrings\n    print(\"=== Testing generation of point group clusters. This may take some time. ===\")\n    from time import time\n\n    from pyxtal.crystal import random_cluster\n    from pyxtal.symmetry import Group\n\n    slow = []\n    failed = []\n    print(\"  Point group # |     Symbol    |  Time Elapsed\")\n    skip = []  # [32,55,56]#[28,29,30,31,32,55,56]\n    for sg in range(1, 57):\n        if sg not in skip:\n            multiplicity = len(Group(sg, dim=0)[0])  # multiplicity of the general position\n            start = time()\n            rand_crystal = random_cluster(sg, [\"C\"], [multiplicity], 1.0)\n            end = time()\n            timespent = np.around((end - start), decimals=2)\n            t = str(timespent)\n            if len(t) == 3:\n                t += \"0\"\n            t += \" s\"\n            if timespent >= 1.0:\n                t += \" ~\"\n            if timespent >= 3.0:\n                t += \"~\"\n            if timespent >= 10.0:\n                t += \"~\"\n            if timespent >= 60.0:\n                t += \"~\"\n                slow.append(sg)\n            if rand_crystal.valid:\n                if check_struct_group(rand_crystal, sg, dim=0):\n                    pass\n                else:\n                    t += \" xxxxx\"\n                    outstructs.append(rand_crystal.struct)\n                    outstrings.append(str(\"Cluster_\" + str(sg) + \".vasp\"))\n                pgsymbol = Group(sg, dim=0).symbol\n                print(\"\\t\" + str(sg) + \"\\t|\\t\" + pgsymbol + \"\\t|\\t\" + t)\n            else:\n                print(\"~~~~ Error: Could not generate space group \" + str(sg) + \" after \" + t)\n                failed.append(sg)\n    if slow != []:\n        print(\"~~~~ The following space groups took more than 60 seconds to generate:\")\n        for i in slow:\n            print(\"     \" + str(i))\n    if failed != []:\n        print(\"~~~~ The following space groups failed to generate:\")\n        for i in failed:\n            print(\"     \" + str(i))\n\n\ndef test_modules():\n    print(\"====== Testing functionality for pyXtal version 0.1dev ======\")\n\n    global failed_package\n    failed_package = False  # Record if errors occur at any level\n\n    reset()\n\n    print(\"Importing sys...\")\n    try:\n        import sys\n\n        print(\"Success!\")\n    except Exception as e:\n        fail(e)\n        sys.exit(0)\n\n    print(\"Importing numpy...\")\n    try:\n        import numpy as np\n\n        print(\"Success!\")\n    except Exception as e:\n        fail(e)\n        sys.exit(0)\n\n    np.array([[1, 0, 0], [0, 1, 0], [0, 0, 1]])\n\n    print(\"Importing pymatgen...\")\n    try:\n        print(\"Success!\")\n    except Exception as e:\n        fail(e)\n        sys.exit(0)\n\n    try:\n        from pymatgen.core.operations import SymmOp\n    except Exception as e:\n        fail(e)\n        sys.exit(0)\n\n    print(\"Importing pandas...\")\n    try:\n        print(\"Success!\")\n    except Exception as e:\n        fail(e)\n        sys.exit(0)\n\n    print(\"Importing spglib...\")\n    try:\n        print(\"Success!\")\n    except Exception as e:\n        fail(e)\n        sys.exit(0)\n\n    print(\"Importing openbabel...\")\n    try:\n        print(\"Success!\")\n    except:\n        print(\"Error: could not import openbabel. Try reinstalling the package.\")\n\n    print(\"Importing pyxtal...\")\n    try:\n        print(\"Success!\")\n    except Exception as e:\n        fail(e)\n        sys.exit(0)\n\n    print(\"=== Testing modules ===\")\n\n    # =====database.element=====\n    print(\"pyxtal.database.element\")\n    reset()\n    try:\n        pass\n    except Exception as e:\n        fail(e)\n\n    print(\"  class Element\")\n    try:\n        from pyxtal.database.element import Element\n    except Exception as e:\n        fail(e)\n    if passed():\n        for i in range(1, 95):\n            if passed():\n                try:\n                    ele = Element(i)\n                except:\n                    fail(\"Could not access Element # \" + str(i))\n                try:\n                    ele.get_all(0)\n                except:\n                    fail(\"Could not access attribute for element # \" + str(i))\n                try:\n                    ele.all_z()\n                    ele.all_short_names()\n                    ele.all_long_names()\n                    ele.all_valences()\n                    ele.all_valence_electrons()\n                    ele.all_covalent_radii()\n                    ele.all_vdw_radii()\n                except:\n                    fail(\"Could not access class methods\")\n\n    check()\n\n    # =====database.hall=====\n    print(\"pyxtal.database.hall\")\n    reset()\n    try:\n        pass\n    except Exception as e:\n        fail(e)\n\n    print(\"  hall_from_hm\")\n    try:\n        from pyxtal.database.hall import hall_from_hm\n    except Exception as e:\n        fail(e)\n\n    if passed():\n        for i in range(1, 230):\n            if passed():\n                try:\n                    hall_from_hm(i)\n                except:\n                    fail(\"Could not access hm # \" + str(i))\n\n    check()\n\n    # =====database.collection=====\n    print(\"pyxtal.database.collection\")\n    reset()\n    try:\n        pass\n    except Exception as e:\n        fail(e)\n\n    print(\"  Collection\")\n    try:\n        from pyxtal.database.collection import Collection\n    except Exception as e:\n        fail(e)\n\n    if passed():\n        for i in range(1, 230):\n            if passed():\n                try:\n                    Collection(\"molecules\")\n                except:\n                    fail(\"Could not access hm # \" + str(i))\n\n    check()\n\n    # =====operations=====\n    print(\"pyxtal.operations\")\n    reset()\n    try:\n        pass\n    except Exception as e:\n        fail(e)\n\n    print(\"  random_vector\")\n    try:\n        from pyxtal.operations import random_vector\n    except Exception as e:\n        fail(e)\n\n    if passed():\n        try:\n            for i in range(10):\n                random_vector()\n        except Exception as e:\n            fail(e)\n\n    check()\n\n    print(\"  angle\")\n    try:\n        from pyxtal.operations import angle\n    except Exception as e:\n        fail(e)\n\n    if passed():\n        try:\n            for i in range(10):\n                v1 = random_vector()\n                v2 = random_vector()\n                angle(v1, v2)\n        except Exception as e:\n            fail(e)\n\n    check()\n\n    print(\"  random_shear_matrix\")\n    try:\n        from pyxtal.operations import random_shear_matrix\n    except Exception as e:\n        fail(e)\n\n    if passed():\n        try:\n            for i in range(10):\n                random_shear_matrix()\n        except Exception as e:\n            fail(e)\n\n    check()\n\n    print(\"  is_orthogonal\")\n    try:\n        from pyxtal.operations import is_orthogonal\n    except Exception as e:\n        fail(e)\n\n    if passed():\n        try:\n            a = is_orthogonal([[1, 0, 0], [0, 1, 0], [0, 0, 1]])\n            b = is_orthogonal([[0, 0, 1], [1, 0, 0], [1, 0, 0]])\n            if a is True and b is False:\n                pass\n            else:\n                fail()\n        except Exception as e:\n            fail(e)\n\n    check()\n\n    print(\"  aa2matrix\")\n    try:\n        from pyxtal.operations import aa2matrix\n    except Exception as e:\n        fail(e)\n\n    if passed():\n        try:\n            for i in range(10):\n                aa2matrix(1, 1, random=True)\n        except Exception as e:\n            fail(e)\n\n    check()\n\n    print(\"  matrix2aa\")\n    try:\n        from pyxtal.operations import matrix2aa\n    except Exception as e:\n        fail(e)\n\n    if passed():\n        try:\n            for i in range(10):\n                m = aa2matrix(1, 1, random=True)\n                matrix2aa(m)\n        except Exception as e:\n            fail(e)\n\n    check()\n\n    print(\"  rotate_vector\")\n    try:\n        from pyxtal.operations import rotate_vector\n    except Exception as e:\n        fail(e)\n\n    if passed():\n        try:\n            for i in range(10):\n                v1 = random_vector()\n                v2 = random_vector()\n                rotate_vector(v1, v2)\n        except Exception as e:\n            fail(e)\n\n    check()\n\n    print(\"  are_equal\")\n    try:\n        from pyxtal.operations import are_equal\n    except Exception as e:\n        fail(e)\n\n    if passed():\n        try:\n            op1 = SymmOp.from_xyz_string(\"x,y,z\")\n            op2 = SymmOp.from_xyz_string(\"x,y,z+1\")\n            a = are_equal(op1, op2, PBC=[0, 0, 1])\n            b = are_equal(op1, op2, PBC=[1, 0, 0])\n            if a is True and b is False:\n                pass\n            else:\n                fail()\n        except Exception as e:\n            fail(e)\n\n    check()\n\n    print(\"  class OperationAnalyzer\")\n    try:\n        from pyxtal.operations import OperationAnalyzer\n    except Exception as e:\n        fail(e)\n\n    if passed():\n        try:\n            for i in range(10):\n                m = aa2matrix(1, 1, random=True)\n                t = random_vector()\n                op1 = SymmOp.from_rotation_and_translation(m, t)\n                OperationAnalyzer(op1)\n        except Exception as e:\n            fail(e)\n\n    check()\n\n    print(\"  class Orientation\")\n    try:\n        from pyxtal.operations import Orientation\n    except Exception as e:\n        fail(e)\n\n    if passed():\n        try:\n            for i in range(10):\n                v1 = random_vector()\n                c1 = random_vector()\n                Orientation.from_constraint(v1, c1)\n        except Exception as e:\n            fail(e)\n\n    check()\n\n    # =====symmetry=====\n    print(\"pyxtal.symmetry\")\n    reset()\n    try:\n        pass\n    except Exception as e:\n        fail(e)\n\n    print(\"  get_wyckoffs (may take a moment)\")\n    try:\n        from pyxtal.symmetry import get_wyckoffs\n    except Exception as e:\n        fail(e)\n\n    if passed():\n        try:\n            for i in [1, 2, 229, 230]:\n                get_wyckoffs(i)\n                get_wyckoffs(i, organized=True)\n        except:\n            fail(\" Could not access Wyckoff positions for space group # \" + str(i))\n\n    check()\n\n    print(\"  get_wyckoff_symmetry (may take a moment)\")\n    try:\n        from pyxtal.symmetry import get_wyckoff_symmetry\n    except Exception as e:\n        fail(e)\n\n    if passed():\n        try:\n            for i in [1, 2, 229, 230]:\n                get_wyckoff_symmetry(i)\n                get_wyckoff_symmetry(i, molecular=True)\n        except:\n            fail(\"Could not access Wyckoff symmetry for space group # \" + str(i))\n\n    check()\n\n    print(\"  get_wyckoffs_generators (may take a moment)\")\n    try:\n        from pyxtal.symmetry import get_wyckoff_generators\n    except Exception as e:\n        fail(e)\n\n    if passed():\n        try:\n            for i in [1, 2, 229, 230]:\n                get_wyckoff_generators(i)\n        except:\n            fail(\"Could not access Wyckoff generators for space group # \" + str(i))\n\n    check()\n\n    print(\"  letter_from_index\")\n    try:\n        from pyxtal.symmetry import letter_from_index\n    except Exception as e:\n        fail(e)\n\n    if passed():\n        try:\n            if letter_from_index(0, get_wyckoffs(47)) == \"A\":\n                pass\n            else:\n                fail()\n        except Exception as e:\n            fail(e)\n\n    check()\n\n    print(\"  index_from_letter\")\n    try:\n        from pyxtal.symmetry import index_from_letter\n    except Exception as e:\n        fail(e)\n\n    if passed():\n        try:\n            if index_from_letter(\"A\", get_wyckoffs(47)) == 0:\n                pass\n            else:\n                fail()\n        except Exception as e:\n            fail(e)\n\n    check()\n\n    print(\"  jk_from_i\")\n    try:\n        from pyxtal.symmetry import jk_from_i\n    except Exception as e:\n        fail(e)\n\n    if passed():\n        try:\n            w = get_wyckoffs(2, organized=True)\n            j, k = jk_from_i(1, w)\n            if j == 1 and k == 0:\n                pass\n            else:\n                print(j, k)\n                fail()\n        except Exception as e:\n            fail(e)\n\n    check()\n\n    print(\"  i_from_jk\")\n    try:\n        from pyxtal.symmetry import i_from_jk\n    except Exception as e:\n        fail(e)\n\n    if passed():\n        try:\n            w = get_wyckoffs(2, organized=True)\n            j, k = jk_from_i(1, w)\n            i = i_from_jk(j, k, w)\n            if i == 1:\n                pass\n            else:\n                print(j, k)\n                fail()\n        except Exception as e:\n            fail(e)\n\n    check()\n\n    print(\"  ss_string_from_ops\")\n    try:\n        from pyxtal.symmetry import ss_string_from_ops\n    except Exception as e:\n        fail(e)\n\n    if passed():\n        try:\n            for i, sg in enumerate([1, 75, 195]):\n                ops = get_wyckoffs(sg)[0]\n                ss_string_from_ops(ops, sg, dim=3)\n        except Exception as e:\n            fail(e)\n\n    check()\n\n    print(\"  Wyckoff_position\")\n    try:\n        from pyxtal.symmetry import Wyckoff_position\n    except Exception as e:\n        fail(e)\n\n    if passed():\n        try:\n            wp = Wyckoff_position.from_group_and_index(20, 1)\n        except Exception as e:\n            fail(e)\n\n    check()\n\n    print(\"  Group\")\n    try:\n        from pyxtal.symmetry import Group\n    except Exception as e:\n        fail(e)\n\n    if passed():\n        try:\n            Group(230)\n            Group(80, dim=2)\n            Group(75, dim=1)\n        except Exception as e:\n            fail(e)\n\n    check()\n\n    # =====crystal=====\n    print(\"pyxtal.crystal\")\n    reset()\n    try:\n        pass\n    except Exception as e:\n        fail(e)\n\n    print(\"  random_crystal\")\n    try:\n        from pyxtal.crystal import random_crystal\n    except Exception as e:\n        fail(e)\n\n    if passed():\n        try:\n            c = random_crystal(1, [\"H\"], [1], 10.0)\n            if c.valid is True:\n                pass\n            else:\n                fail()\n        except Exception as e:\n            fail(e)\n\n    check()\n\n    print(\"  random_crystal_2D\")\n    try:\n        from pyxtal.crystal import random_crystal_2D\n    except Exception as e:\n        fail(e)\n\n    if passed():\n        try:\n            c = random_crystal_2D(1, [\"H\"], [1], 10.0)\n            if c.valid is True:\n                pass\n            else:\n                fail()\n        except Exception as e:\n            fail(e)\n\n    check()\n\n    # =====molecule=====\n    print(\"pyxtal.molecule\")\n    reset()\n    try:\n        pass\n    except Exception as e:\n        fail(e)\n\n    check()\n\n    print(\"  Collections\")\n    try:\n        from pyxtal.molecule import mol_from_collection\n    except Exception as e:\n        fail(e)\n\n    if passed():\n        try:\n            h2o = mol_from_collection(\"H2O\")\n            ch4 = mol_from_collection(\"CH4\")\n        except Exception as e:\n            fail(e)\n\n    print(\"  get_inertia_tensor\")\n    try:\n        from pyxtal.molecule import get_inertia_tensor\n    except Exception as e:\n        fail(e)\n\n    if passed():\n        try:\n            get_inertia_tensor(h2o)\n            get_inertia_tensor(ch4)\n        except Exception as e:\n            fail(e)\n\n    check()\n\n    print(\"  get_moment_of_inertia\")\n    try:\n        from pyxtal.molecule import get_moment_of_inertia\n    except Exception as e:\n        fail(e)\n\n    if passed():\n        try:\n            v = random_vector()\n            get_moment_of_inertia(h2o, v)\n            get_moment_of_inertia(ch4, v)\n        except Exception as e:\n            fail(e)\n\n    check()\n\n    print(\"  reoriented_molecule\")\n    try:\n        from pyxtal.molecule import reoriented_molecule\n    except Exception as e:\n        fail(e)\n\n    if passed():\n        try:\n            reoriented_molecule(h2o)\n            reoriented_molecule(ch4)\n        except Exception as e:\n            fail(e)\n\n    check()\n\n    print(\"  orientation_in_wyckoff_position\")\n    try:\n        from pyxtal.molecule import orientation_in_wyckoff_position\n    except Exception as e:\n        fail(e)\n\n    if passed():\n        try:\n            w = get_wyckoffs(20)\n            get_wyckoff_symmetry(20, molecular=True)\n            wp = Wyckoff_position.from_group_and_index(20, 1)\n            orientation_in_wyckoff_position(h2o, wp)\n            orientation_in_wyckoff_position(ch4, wp)\n        except Exception as e:\n            fail(e)\n\n    check()\n\n    # =====molecular_crystal=====\n    print(\"pyxtal.molecular_crystal\")\n    reset()\n    try:\n        pass\n    except Exception as e:\n        fail(e)\n\n    print(\"  molecular_crystal\")\n    try:\n        from pyxtal.molecular_crystal import molecular_crystal\n    except Exception as e:\n        fail(e)\n\n    if passed():\n        try:\n            c = molecular_crystal(1, [\"H2O\"], [1], 10.0)\n            if c.valid is True:\n                pass\n            else:\n                fail()\n        except Exception as e:\n            fail(e)\n\n    check()\n\n    print(\"  molecular_crystal_2D\")\n    try:\n        from pyxtal.molecular_crystal import molecular_crystal_2D\n    except Exception as e:\n        fail(e)\n\n    if passed():\n        try:\n            c = molecular_crystal_2D(1, [\"H2O\"], [1], 10.0)\n            if c.valid is True:\n                pass\n            else:\n                fail()\n        except Exception as e:\n            fail(e)\n\n    check()\n\n    end(condition=2)\n\n\nimport contextlib\nfrom optparse import OptionParser\n\nif __name__ == \"__main__\":\n    import sys\n    from time import time\n\n    parser = OptionParser()\n    parser.add_option(\n        \"-m\",\n        \"--module\",\n        dest=\"module\",\n        metavar=\"module\",\n        default=\"all\",\n        type=str,\n        help=\"modules options: 'all', 'atomic', 'molecular', 'atomic_2D', 'molecular_2D', 'atomic_1D', 'molecular_1D' \",\n    )\n    parser.add_option(\n        \"-s\",\n        \"--summary\",\n        action=\"store_true\",\n        dest=\"output\",\n        default=False,\n        help=\"output summary.txt file\",\n    )\n    (options, args) = parser.parse_args()\n\n    output = options.output\n\n    try:\n        import numpy as np\n    except Exception as e:\n        fail(e)\n        sys.exit(0)\n    modules_lib = {\n        \"atomic\": \"test_atomic()\",\n        \"molecular\": \"test_molecular()\",\n        \"atomic_2D\": \"test_atomic_2D()\",\n        \"molecular_2D\": \"test_molecular_2D()\",\n        \"atomic_1D\": \"test_atomic_1D()\",\n        \"molecular_1D\": \"test_molecular_1D()\",\n        \"cluster\": \"test_cluster()\",\n    }\n    if options.module == \"all\":\n        modules = modules_lib\n    else:\n        if options.module in modules_lib:\n            modules = [options.module]\n        else:\n            print(\"please choose the modules from the followings:\")\n            for module in modules_lib:\n                print(module)\n\n    masterstart = time()\n\n    test_modules()\n\n    for module in modules:\n        eval(modules_lib[module])\n\n    masterend = time()\n    mastertime = np.around((masterend - masterstart), decimals=2)\n\n    print(\"TEST COMPLETE\")\n    print(\"Total time elapsed: \" + str(mastertime) + \" s\")\n\n    if outstructs != []:\n        output = True\n    if output is True:\n        # from pymatgen.io.cif import CifWriter\n        from os import mkdir\n        from os.path import isdir\n\n        outdir0 = \"test_out_\"\n        i = 1\n        while True:\n            outdir = outdir0 + str(i)\n            if not isdir(outdir):\n                mkdir(outdir)\n                break\n            i += 1\n            if i > 100:\n                break\n        if outstructs != []:\n            print(\"Some generated space groups did not match the expected group.\")\n            print(\"POSCAR files for these groups will be output to the directory \" + outdir + \":\")\n        for struct, string in zip(outstructs, outstrings):\n            fpath = outdir + \"/\" + string\n            with contextlib.suppress(Exception):\n                struct = struct.get_sorted_structure()\n            struct.to(filename=fpath, fmt=\"poscar\")\n            # CifWriter(struct, symprec=0.1).write_file(filename = fpath)\n            print(\"  \" + string)\n        # Output summary text file\n        txtfile = open(outdir + \"/summary.txt\", \"w\")\n        txtfile.write(_summary_text_)\n"
  },
  {
    "path": "pyxtal/miscellaneous/test_atom_mole.py",
    "content": "from pyxtal.db import database\n\ndb = database(\"pyxtal/database/mech.db\")\n\nc = db.get_pyxtal(\"DAHMUX\")\nrep = c.get_1D_representation()\na = c.to_atomic_xtal()\n\ndicts = c.mol_sites[0].to_1D_dicts()\nb = a.to_molecular_xtal(\n    [c.mol_sites[0].molecule], reflects=[dicts[\"reflect\"]], oris=[dicts[\"orientation\"]]\n)\nd = rep.to_pyxtal()\n\n\nimport pymatgen.analysis.structure_matcher as sm\n\npmg1 = c.to_pymatgen()\npmg2 = b.to_pymatgen()\npmg3 = d.to_pymatgen()\nprint(sm.StructureMatcher().get_rms_dist(pmg1, pmg2))\nprint(sm.StructureMatcher().get_rms_dist(pmg1, pmg3))\nprint(sm.StructureMatcher().get_rms_dist(pmg2, pmg3))\n"
  },
  {
    "path": "pyxtal/miscellaneous/test_db.py",
    "content": "from ast import literal_eval as eval\n\nimport pandas as pd\nfrom pymatgen.core.operations import SymmOp\nfrom structure import *\n\n\"\"\"mylist = [None]\nprint(\"Adding space group:\")\nfor sg in range(1, 231):\n    print(sg)\n    wyckoffs = get_wyckoff_positions(sg)\n    mylist.append([])\n    for x in wyckoffs:\n        #x is a sorted list of positions\n        for y in x:\n            #y is a wyckoff position\n            mylist[-1].append([])\n            for z in y:\n                #z is a SymmOp\n                ops = site_symm(z, wyckoffs[0][0])\n                oplist = []\n                for op in ops:\n                    oplist.append(op.as_xyz_string())\n                mylist[-1][-1].append(oplist)\nprint(len(mylist))\ndf = pd.DataFrame(data=mylist)\ndf.to_csv(\"wyckoff_symmetry.csv\")\"\"\"\n\nwyckoff_df = pd.read_csv(\"wyckoff_list.csv\")\n\n\ndef get_wyckoffs(sg):\n    wyckoff_strings = eval(wyckoff_df[\"0\"][sg])\n    wyckoffs = []\n    for x in wyckoff_strings:\n        wyckoffs.append([])\n        for y in x:\n            wyckoffs[-1].append(SymmOp.from_xyz_string(y))\n    return wyckoffs\n\n\nprint(type(get_wyckoffs(2)[0][0]))\nprint(get_wyckoffs(2))\n"
  },
  {
    "path": "pyxtal/miscellaneous/test_euclidean.py",
    "content": "import numpy as np\n\nfrom pyxtal.lattice import Lattice\nfrom pyxtal.symmetry import Group\n\n\ndef test(spg, pt, cell):\n    p0 = np.dot(pt, cell.matrix)\n\n    for sg in spg:\n        wp = Group(sg)[0]\n        print(sg, wp.symbol, wp.euclidean)\n        for i in range(len(wp)):\n            op0 = wp[i]\n            p1 = op0.operate(pt)\n\n            op1 = wp.get_euclidean_rotation(cell.matrix, i)\n            if wp.euclidean:\n                p2 = np.dot(op1.operate(p0), cell.inv_matrix)\n            else:\n                p2 = np.dot(op1.apply_rotation_only(p0), cell.inv_matrix)\n                p2 += op1.translation_vector\n\n            diff = p1 - p2\n            diff -= np.round(diff)\n            if np.linalg.norm(diff) > 0.02:\n                res = f\"{i:2d} {op0.as_xyz_string():28s}\"\n                res += f\" {op1.as_xyz_string():28s}\"\n                res += \"{:6.3f} {:6.3f} {:6.3f} -> \".format(*p1)\n                res += \"{:6.3f} {:6.3f} {:6.3f} -> \".format(*p2)\n                res += \"{:6.3f} {:6.3f} {:6.3f}\".format(*diff)\n                print(res)\n\n\npt = [0.1333, 0.1496, 0.969]\n\ncell = Lattice.from_para(9.395000, 7.395000, 8.350000, 91, 101, 92, ltype=\"triclinic\")\ntest(range(1, 3), pt, cell)\n\ncell = Lattice.from_para(9.395000, 7.395000, 8.350000, 90, 101, 90, ltype=\"monoclinic\")\ntest(range(3, 16), pt, cell)\n\ncell = Lattice.from_para(9.395000, 7.395000, 8.350000, 90, 90, 90, ltype=\"orthorhombic\")\ntest(range(3, 16), pt, cell)\n\ncell = Lattice.from_para(9.395000, 7.395000, 8.350000, 90, 90, 90, ltype=\"orthorhombic\")\ntest(range(16, 74), pt, cell)\n\ncell = Lattice.from_para(9.395000, 9.395000, 8.350000, 90, 90, 90, ltype=\"tetragonal\")\ntest(range(74, 143), pt, cell)\n\ncell = Lattice.from_para(9.395000, 9.395000, 8.350000, 90, 90, 120, ltype=\"hexagonal\")\ntest(range(143, 195), pt, cell)\n\ncell = Lattice.from_para(9.395000, 9.395000, 9.3950000, 90, 90, 90, ltype=\"cubic\")\ntest(range(195, 231), pt, cell)\n"
  },
  {
    "path": "pyxtal/miscellaneous/test_generators.py",
    "content": "import numpy as np\n\nfrom pyxtal.symmetry import Group, Hall\n\nfor n in range(1, 231):\n    h = Hall(n)  # , permutation=True)\n    for hn in h.hall_numbers:\n        g = Group(hn, use_hall=True)\n        print(g.number, g.hall_number, g.symbol)\n        for wp in g:\n            print(wp.letter)\n            # print(\"=======\")\n            wp.set_generators()\n            for _i, op in enumerate(wp.generators):\n                rot = op.rotation_matrix\n                tran = op.translation_vector\n                if abs(abs(np.linalg.det(rot)) - 1) > 1e-2:\n                    print(\"Error\", rot)\n                    import sys\n\n                    sys.exit()\n"
  },
  {
    "path": "pyxtal/miscellaneous/test_get_csd.py",
    "content": "import warnings\n\nwarnings.filterwarnings(\"ignore\")\n\nfrom ase.db import connect\n\nfrom pyxtal import pyxtal\nfrom pyxtal.util import search_csd_entries_by_code\n\nstrucs = []\nfor csd in [  #'GLYCIN01',  'HUSVUM', 'HIHDUZ', 'DOPSIK', 'TABQOG03', 'DUPXOD',\n    #'GLYMSN10', 'GOBFAF', 'GOBZOO', 'ARAZEZ','HMBENZ21', 'BEMQUF', 'KUZJIB',\n    # NUMRET long\n    \"SUZGUS\",\n    \"MABCOL\",\n    \"UMEQUB\",\n    \"XACXOS\",\n    \"AMBZPH\",\n    \"AMISAS\",\n    \"APAPOY\",\n    \"HIWZIZ\",\n    \"OHUXEV\",\n    \"QOJPAI\",\n    \"HOWTOF\",\n    \"NUGCOI\",\n    \"NUJMAH\",\n    \"NUNJIP\",\n    \"ZUZCEF\",\n    \"VITRUL\",\n    \"VOLCOP\",\n    \"QOLXEX02\",\n    \"UKULAQ\",\n    \"ACEMID02\",\n    \"AFIPIP\",\n    \"BUTHEE\",\n    \"CELKEK\",\n    \"HAHDID\",\n    \"HEXWIQ01\",\n    \"HIFWOJ\",\n    \"HIFZIF\",\n    \"HIRBAM\",\n    \"EHINOB\",\n    \"HUKYIW\",\n    \"HYQUIN06\",\n    \"ISIVIR\",\n    \"JATBIQ\",\n    \"JUDBUI\",\n    \"AFUVAZ\",\n    \"BZCBNL01\",\n    \"NUDREK\",\n    \"HEVRUV\",\n    \"JAPCIM\",\n    \"TCYETY02\",\n    \"ZZZWOU01\",\n    \"ELIFOX\",\n    \"GADLOQ\",\n    \"GAJLAI\",\n    \"MAMFIT\",\n    \"OKIXIS\",\n    \"NOLRUC\",\n    \"PACNOA\",\n    \"SABQEV\",\n    \"SAJWEJ\",\n    \"HAMQOC\",\n    \"NUMRET\",\n    \"HCHXDO\",\n    \"HETVUY\",\n    \"HIRYOY\",\n    \"HIYLOQ01\",\n    \"HONWIQTROXAN\",\n    \"PYRZIN\",\n    \"ACETAC\",\n    \"ADAMAN01\",\n    \"TRIZIN\",\n    \"HXMTAM\",\n    \"PYRZOL\",\n    \"CYHEXO\",\n    \"CYTSIN\",\n    \"IMAZOL01\",\n    \"URACIL\",\n    \"CYANAM01\",\n    \"FORMAM\",\n    \"SUCACB02\",\n    \"ECARBM01\",\n    \"XAFQAZ\",\n    \"KONTIQ\",\n    \"XATJOT\",\n    \"XAFQON\",\n]:\n    codes = search_csd_entries_by_code(csd)\n    for code in codes:\n        c = pyxtal(molecular=True)\n        c.from_CSD(code)\n        strucs.append(c)\n        print(c)\n        # if code == 'TRIZIN04': print(c.to_file()); print(c); import sys; sys.exit()\n\nwith connect(\"test.db\") as db:\n    for xtal in strucs:\n        if xtal.tag[\"ccdc_number\"] is None:\n            xtal.tag[\"ccdc_number\"] = 1240839\n        kvp = {\n            \"csd_code\": xtal.tag[\"csd_code\"],\n            \"mol_smi\": xtal.tag[\"smiles\"],\n            \"ccdc_number\": xtal.tag[\"ccdc_number\"],\n            # \"publication\": xtal.tag['publication'],\n        }\n        print(kvp)\n        db.write(xtal.to_ase(), key_value_pairs=kvp)\n"
  },
  {
    "path": "pyxtal/miscellaneous/test_matrix.py",
    "content": "import matplotlib.pyplot as plt\nimport numpy as np\nfrom numpy import array, cbrt, cosh, log, pi, sinh\nfrom numpy.linalg import det\nfrom numpy.random import normal\nfrom structure import *\n\nrad = 360.0 / (2 * pi)\ndeg = 2 * pi / 360.0\n\nidentity = array([[1.0, 0, 0], [0, 1, 0], [0, 0, 1]])\n\n\ndef mat_a(a):\n    return array([[1, 0, 0], [0, cosh(a), sinh(a)], [0, sinh(a), cosh(a)]])\n\n\ndef mat_b(b):\n    return array([[cosh(b), 0, sinh(b)], [0, 1, 0], [sinh(b), 0, cosh(b)]])\n\n\ndef mat_c(c):\n    return array([[cosh(c), sinh(c), 0], [sinh(c), cosh(c), 0], [0, 0, 1]])\n\n\ndef strain_matrix(a, b, c):\n    a = mat_a(a)\n    b = mat_b(b)\n    c = mat_c(c)\n    raw = a + b + c - 2 * identity\n    return raw / cbrt(det(raw))\n\n\ndef shear_matrix(a, b, c):\n    return array([[1, a, b], [a, 1, c], [b, c, 1]])\n\n\ndef random_strain():\n    a, b, c = 0, 0, 0\n    while a < 30 * deg or b < 30 * deg or c < 30 * deg or a > 150 * deg or b > 150 * deg or c > 150 * deg:\n        mat = strain_matrix(normal(scale=0.1), normal(scale=0.1), normal(scale=0.1))\n        a, b, c = alpha(mat), beta(mat), gamma(mat)\n    return mat\n\n\ndef random_matrix(width=1.0, unitary=False):\n    mat = np.zeros([3, 3])\n    for x in range(3):\n        for y in range(3):\n            mat[x][y] = normal(scale=width)\n    if unitary:\n        return mat / cbrt(det(mat))\n    else:\n        return mat\n\n\nN_points = 10000\nn_bins = 50\n\nx = []\ny = []\nz = []\n\na = 0.3\n\n\"\"\"for n in range(N_points):\n    mat = generate_lattice(1, 100)\n    x.append(mat[3]*rad)\n    y.append(mat[4]*rad)\n    z.append(mat[5]*rad)\n    if n % 1000 == 0: print(\"...\")\n\"\"\"\nfor n in range(N_points):\n    mat = generate_lattice(1, 100)\n    x.append(log(mat[0] / mat[1]))\n    y.append(log(mat[1] / mat[2]))\n    z.append(log(mat[2] / mat[0]))\n    if n % 1000 == 0:\n        print(\"...\")\n\nfig, axs = plt.subplots(1, 3, sharey=True, tight_layout=True)\nplt.title(\"Lattice generation angles\")\n# We can set the number of bins with the `bins` kwarg\n\"\"\"axs[0].hist(x, bins=n_bins)\naxs[0].set_xlabel(\"alpha\")\naxs[0].set_ylabel(\"frequency\")\naxs[1].hist(y, bins=n_bins)\naxs[1].set_xlabel(\"beta\")\naxs[2].hist(z, bins=n_bins)\naxs[2].set_xlabel(\"gamma\")\n\"\"\"\naxs[0].hist(x, bins=n_bins)\naxs[0].set_xlabel(\"a/b\")\naxs[0].set_ylabel(\"frequency\")\naxs[1].hist(y, bins=n_bins)\naxs[1].set_xlabel(\"b/c\")\naxs[2].hist(z, bins=n_bins)\naxs[2].set_xlabel(\"c/a\")\n\nplt.show()\n"
  },
  {
    "path": "pyxtal/miscellaneous/test_read.py",
    "content": "import importlib.resources\n\nimport numpy as np\nimport pymatgen.analysis.structure_matcher as sm\nfrom pymatgen.core.structure import Structure\nfrom pymatgen.symmetry.analyzer import SpacegroupAnalyzer\nfrom rdkit import Chem\nfrom rdkit.Chem import AllChem\n\nfrom pyxtal.molecular_crystal import molecular_crystal\nfrom pyxtal.symmetry import Group\n\nlists = [\n    (\"s1c2ccc3scc4ccc(c1)c2c34\", \"HAHCOI.cif\"),  # P21 -> P21\n    (\"s1ccc2cc3sc4cc5ccsc5cc4c3cc12\", \"JAPWIH.cif\"),  # Pmn21 -> P21\n    (\"s1c(c2ccccc2)c(c2ccccc2)c2c1c(c(s2)c1ccccc1)c1ccccc1\", \"WEXBOS.cif\"),  # P21/c->Pc\n    (\"s1c(/C=N/[C@H](C)c2ccc(F)cc2)ccc1/C=N/[C@H](C)c1ccc(F)cc1\", \"LAGNAL.cif\"),  #\n    (\"CC1=CC2=C(S1)C3=CC4=C(C=C3C=C2)C5=C(C=C4)C=C(S5)C\", \"LUFHAW.cif\"),  # P21/n->Pn\n    (\"s1c2c(c3c1SCCC3)cc1sc3SCCCc3c1c2\", \"MERQIM.cif\"),  # P21/a - > Pc\n    (\"s1cccc1c1c(F)c(OC)c(c2sccc2)c(F)c1OC\", \"YICMOP.cif\"),  # P21/n -> Pn\n    (\"s1c(ccc1C1=N[C@H](CO1)CC)C1=N[C@H](CO1)CC\", \"DAFJOK.cif\"),  # C2 -> P21\n    (\"CN1C2=C(N=C1C3=CC=C(S3)C=O)N(C(=O)N(C2=O)C)C\", \"LUTXII.cif\"),  # P21/m -> P21\n]\n\nfor mol in lists:\n    (smi, cif) = mol\n    m = Chem.MolFromSmiles(smi)\n    with importlib.resources.as_file(importlib.resources.files(\"pyxtal\") / \"database\" / \"cifs\") as path:\n        cif = str(path / cif)\n    m2 = Chem.AddHs(m)\n    m3 = Chem.AddHs(m2)\n    AllChem.EmbedMultipleConfs(m3)\n    Chem.rdmolfiles.MolToXYZFile(m3, \"1.xyz\")\n\n    # Original Structure\n    struc = molecular_crystal(2, [\"1.xyz\"], [2], seed=cif)\n    # print(struc.mol_sites[0])\n    s = struc.copy()\n    site = s.mol_sites[0].make_gen_wyckoff_site()\n    print(\"Site distance\", site.check_distances())\n    s.mol_sites = [site]\n    s.lattice = site.lattice\n    s.group = Group(site.wp.number)\n    # print([op.as_xyz_string() for op in s.mol_sites[0].wp.ops])\n    pmg1 = s.to_pymatgen()\n    pmg2 = struc.to_pymatgen()\n    print(SpacegroupAnalyzer(pmg1).get_space_group_symbol())\n    print(\n        cif,\n        s.group.symbol,\n        struc.group.symbol,\n        \"Match: \",\n        sm.StructureMatcher().fit(pmg1, pmg2),\n    )\n    # print(struc.to_file())\n    s3 = Structure.from_str(s.to_file(), fmt=\"cif\")\n    s0 = Structure.from_file(cif)\n    print(\"read-source Match: \", sm.StructureMatcher().fit(s3, s0))\n    print(np.sort(s3.lattice.abc))\n    print(np.sort(s0.lattice.abc))\n    # print(pmg1.to(fmt='cif'))\n    # print(pmg2.to(fmt='cif'))\n    # print(s0.to(fmt='cif'))\n\n\n# from pyxtal.symmetry import Wyckoff_position\n# for cif in [\"HAHCOI.cif\", \"JAPWIH.cif\", \"LAGNAL.cif\",\n#            \"MERQIM.cif\", \"WEXBOS.cif\", \"YICMOP.cif\",\n#            \"LUFHAW.cif\",\n#           ]:\n#    pmg_struc = Structure.from_file(cif)\n#    sga = SpacegroupAnalyzer(pmg_struc)\n#    ops = sga.get_symmetry_operations()\n#    strings = [op.as_xyz_string() for op in ops]\n#    print(sga.get_space_group_symbol(), strings)\n#    wyc, perm = Wyckoff_position.from_symops(ops, sga.get_space_group_number())\n#    #print(perm)\n"
  },
  {
    "path": "pyxtal/miscellaneous/test_site_symm.py",
    "content": "from pymatgen.core.operations import SymmOp\nfrom structure import *\n\nprint(\"---Site Symmetry for a point in a space group---\")\nsg = input(\"Space group Number (1-230): \")\npoint = input(\"Point (can have x,y,z variables): \")\ngen_pos = get_wyckoff_positions(int(sg))[0][0]\npoint = SymmOp.from_xyz_string(point)\nmylist = site_symm(point, gen_pos)\nprint(\"Found symmetry:\")\nfor x in mylist:\n    print(x.as_xyz_string())\n"
  },
  {
    "path": "pyxtal/miscellaneous/test_smile.py",
    "content": "from pyxtal.molecule import find_id_from_smile\n\nsmiles = [\n    \"o1cc2CCc2c1\",\n    \"C1=C(SC=C1O)C#N\",\n    \"C1CC2CC(C1)C(=O)NC2=O\",\n    \"Nc2cccc(=NS(=O)(=O)c1ccccc1)[nH]2\",\n    \"CCC\",\n    \"N1C(=O)NC(=O)C1\",\n    \"c1(c(cc(c(c1)NC(=O)C)C)N(=O)=O)N(=O)=O\",\n    \"N1CCC1\",\n    \"C=CC=O\",\n    \"s1c(=S)n(c2ccccc12)C(=S)N(C)C\",\n    \"CC1=NC(=NC=C1)N.CC1=CC=CC=C1C(=O)O\",\n    \"C1=CC=C(C(=C1)[N+]#N)[O-]\",\n    \"C1=C(C(=CC(=C1Cl)Cl)[N+](=O)[O-])[N+](=O)[O-]\",\n    \"CC(=O)C(=[N+]=[N-])S(=O)(=O)C1=CC=C(C=C1)Cl\",\n    \"c2cnc1[nH+]cccc1c2.C(=CC(=O)[O-])C(=O)O\",\n    \"CC1=CC=C(C=C1)S(=O)(=O)C2=C(N=C(S2)C3=CC=C(C=C3)NC(=O)OCC4=CC=CC=C4)C\",\n    \"C1=C(C=C(C(=C1O)O)O)C(=O)O\",\n    \"C(#N)C1=C(SC2=NSC(=C2S1)C#N)C#N\",\n    \"C1=CC=C(C(=C1)C(=O)O)NC2=CC=C(C=C2)CCC3=CC(=C(C=C3)Cl)Cl\",\n    \"NC(=[NH2+])S/C=C/C(=O)O\",  # XXIV\n    \"C1=C(C=C(C=C1[N+](=O)[O-])[N+](=O)[O-])C(=O)O\",  # XXV\n    \"CC1=CC2=C(C=C1)N3CC4=C(C=CC(=C4)C)N(C2)C3\",  # XXV\n    \"C1=CC=C2C(=C1)C=CC(=C2C3=C(C=CC4=CC=CC=C43)NC(=O)C5=CC=CC=C5Cl)NC(=O)\",\n]\nfor smile in smiles:\n    print(smile)\n    print(find_id_from_smile(smile))\n"
  },
  {
    "path": "pyxtal/miscellaneous/test_spgs.py",
    "content": "from pyxtal.symmetry import Group\nimport numpy as np\n\nfcs = []\nbcs = []\nacs = []\nccs = []\n#Table 2.2.13.2 from International Tables for Crystallography, Vol. A\nscrew_21a = []\nscrew_41a = []\nscrew_42a = []\nscrew_43a = []\nscrew_21b = []\nscrew_41b = []\nscrew_42b = []\nscrew_43b = []\nscrew_21c = []\nscrew_41c = []\nscrew_42c = []\nscrew_43c = []\nscrew_31c = []\nscrew_32c = []\nscrew_61c = []\nscrew_62c = []\nscrew_63c = []\nscrew_64c = []\nscrew_65c = []\n\nb_glide_a = [] # 0kl, k=2n\nc_glide_a = [] # 0kl, l=2n\nn_glide_a = [] # 0kl, k+l=2n\nd_glide_a = [] # 0kl, k-l=4n\nc_glide_b = [] # h0l, l=2n\na_glide_b = [] # h0l, h=2n\nn_glide_b = [] # h0l, h+l=2n\nd_glide_b = [] # h0l, h+l=4n\na_glide_c = [] # hk0, h=2n\nb_glide_c = [] # hk0, k=2n\nn_glide_c = [] # hk0, h+k=2n\nd_glide_c = [] # hk0, h+k=4n\ncn_glide_110 = [] # hhl, l=2n\nd_glide_110 = [] # hhll=2n, 2h+l=4n\nan_glide_011 = [] # hkk, h=2n\nd_glide_011 = [] # hkk, h=2n, 2k+h=4n\nbn_glide_101 = [] # hkh, k=2n\nd_glide_101 = [] # hkh, k=2n, 2h+k=4n\n\n\nfor i in range(1, 231):\n    g = Group(i)\n    if g.symbol[0] == 'F':\n        fcs.append(i)\n    elif g.symbol[0] == 'I':\n        bcs.append(i)\n    elif g.symbol[0] == 'C':\n        ccs.append(i)\n    elif g.symbol[0] == 'A':\n        acs.append(i)\n    ss = g.get_spg_symmetry_object()\n    matrix = ss.to_matrix_representation() # 15 * 18\n    # 18 columns: 1  -1 2  2_1 m  a  b  c  n  d  3  3_1 3_2 4  4_1 4_2 4_3 -4\n    # 15 row: (100) ..... https://pyxtal.readthedocs.io/en/latest/Symmetry_representation.html\n\n    # srew axis\n    if matrix[0, 3] == 1: screw_21a.append(i)\n    if matrix[0, -4] == 1: screw_41a.append(i)\n    if matrix[0, -3] == 1: screw_42a.append(i)\n    if matrix[0, -2] == 1: screw_43a.append(i)\n    if matrix[1, 3] == 1: screw_21b.append(i)\n    if matrix[1, -4] == 1: screw_41b.append(i)\n    if matrix[1, -3] == 1: screw_42b.append(i)\n    if matrix[1, -2] == 1: screw_43b.append(i)\n    if matrix[2, 3] == 1: screw_21c.append(i)\n    if matrix[2, -4] == 1: screw_41c.append(i)\n    if matrix[2, -3] == 1: screw_42c.append(i)\n    if matrix[2, -2] == 1: screw_43c.append(i)\n    if matrix[2, 11] == 1: screw_31c.append(i)\n    if matrix[2, 12] == 1: screw_32c.append(i)\n\n    if matrix[2, 3] == 1 and matrix[2, 10] == 1: # 2_1, 3 => 6_3 axis\n        screw_63c.append(i)\n    if matrix[2, 2] == 1 and matrix[2, 12] == 1: # 2, 3_2 => 6_2 axis\n        screw_62c.append(i)\n    if matrix[2, 2] == 1 and matrix[2, 11] == 1: # 2, 3_1\n        screw_64c.append(i)\n    if matrix[2, 3] == 1 and matrix[2, 11] == 1: # 2_1, 3_1\n        screw_61c.append(i)\n    if matrix[2, 3] == 1 and matrix[2, 12] == 1: # 2_1, 3_2\n        screw_65c.append(i)\n\n    # glide planes\n    if matrix[0, 6] == 1: b_glide_a.append(i)\n    if matrix[0, 7] == 1: c_glide_a.append(i)\n    if matrix[0, 8] == 1: n_glide_a.append(i)\n    if matrix[0, 9] == 1: d_glide_a.append(i)\n    if matrix[1, 5] == 1: a_glide_b.append(i)\n    if matrix[1, 7] == 1: c_glide_b.append(i)\n    if matrix[1, 8] == 1: n_glide_b.append(i)\n    if matrix[1, 9] == 1: d_glide_b.append(i)\n    if matrix[2, 5] == 1: a_glide_c.append(i)\n    if matrix[2, 6] == 1: b_glide_c.append(i)\n    if matrix[2, 8] == 1: n_glide_c.append(i)\n    if matrix[2, 9] == 1: d_glide_c.append(i)\n    # 110\n    if 1 in [matrix[8, 7], matrix[8, 8]]: # c, n, d\n        cn_glide_110.append(i)\n    if 1 == matrix[8, 9]: # c, n, d\n        d_glide_110.append(i)\n    # 011\n    if 1 in [matrix[10, 5], matrix[10, 8]]:\n        an_glide_011.append(i)\n    elif 1 == matrix[10, 9]: # a, n, d\n        d_glide_011.append(i)\n    # 101\n    if 1 in [matrix[12, 6], matrix[12, 8]]:\n        bn_glide_101.append(i)\n    elif 1 == matrix[12, 9]:\n        d_glide_101.append(i)\n\ndicts = {\"fcs (all odd/even)\": fcs,\n         \"bcs (h+k+l=2n)\": bcs,\n         \"acs (k+l=2n)\": acs,\n         \"ccs (h+k=2n)\": ccs,\n         \"screw_21a (h00), h=2n\": screw_21a,\n         \"screw_41a (h00), h=4n\": screw_41a,\n         \"screw_42a (h00), h=2n\": screw_42a,\n         \"screw_43a (h00), h=4n\": screw_43a,\n         \"screw_21b (0k0), k=2n\": screw_21b,\n         \"screw_41b (0k0), k=4n\": screw_41b,\n         \"screw_42b (0k0), k=2n\": screw_42b,\n         \"screw_43b (0k0), k=4n\": screw_43b,\n         \"screw_21c (00l), l=2n\": screw_21c,\n         \"screw_41c (00l), l=4n\": screw_41c,\n         \"screw_42c (00l), l=2n\": screw_42c,\n         \"screw_43c (00l), l=4n\": screw_43c,\n         \"screw_31c (00l), l=3n\": screw_31c,\n         \"screw_32c (00l), l=3n\": screw_32c,\n         \"screw_61c (00l), l=6n\": screw_61c,\n         \"screw_62c (00l), l=3n\": screw_62c,\n         \"screw_63c (00l), l=2n\": screw_63c,\n         \"screw_64c (00l), l=3n\": screw_64c,\n         \"screw_65c (00l), l=6n\": screw_65c,\n         \"b_glide_a (0kl), k=2n\": b_glide_a,\n         \"c_glide_a (0kl), l=2n\": c_glide_a,\n         \"n_glide_a (0kl), k+l=2n\": n_glide_a,\n         \"d_glide_a (0kl), k+l=4n\": d_glide_a,\n         \"a_glide_b (h0l), h=2n\": a_glide_b,\n         \"c_glide_b (h0l), l=2n\": c_glide_b,\n         \"n_glide_b (h0l), h+l=2n\": n_glide_b,\n         \"d_glide_b (h0l), h+l=4n\": d_glide_b,\n         \"a_glide_c (0kl), h=2n\": a_glide_c,\n         \"b_glide_c (0kl), l=2n\": b_glide_c,\n         \"n_glide_c (0kl), h+l=2n\": n_glide_c,\n         \"d_glide_c (0kl), l=2n\": d_glide_c,\n         \"cn_glide_110 (hhl), l=2n\": cn_glide_110,\n         \"an_glide_011 (hkk), h=2n\": an_glide_011,\n         \"bn_glide_101 (hkh), k=2n\": bn_glide_101,\n         \"d_glide_110 (hhl), l=2n 2h+l=4n\": d_glide_110,\n         \"d_glide_011 (hkk), h=2n 2k+h=4n\": d_glide_011,\n         \"d_glide_101 (hkh), k=2n 2h+k=4n\": d_glide_101,\n}\nfor key in dicts:\n    print('\\n', key)\n    for item in dicts[key]:\n        spg = Group(item)\n        print(f'{item}: {spg.symbol}')\n\nfor key in dicts:\n    print(key, dicts[key])\n"
  },
  {
    "path": "pyxtal/miscellaneous/test_subgroup.py",
    "content": "import pymatgen.analysis.structure_matcher as sm\nfrom pymatgen.symmetry.analyzer import SpacegroupAnalyzer\n\nfrom pyxtal.crystal import random_crystal\n\n# G, fac = 197, 2\n# sites = ['6b', '8c']\n# for H in [146, 23]:\n#    for i in range(10):\n#        numIons = int(sum([int(i[:-1]) for i in sites])/fac)\n#        C1 = random_crystal(G, ['C'], [numIons], sites=[sites])\n#        C2 = C1.subgroup(H=H)\n#        #print(C1)\n#        #print(C2)\n#        pmg_s1 = C1.to_pymatgen()\n#        pmg_s2 = C2.to_pymatgen()\n#        sga1 = SpacegroupAnalyzer(pmg_s1).get_space_group_symbol()\n#        sga2 = SpacegroupAnalyzer(pmg_s2).get_space_group_symbol()\n#        print(i, sga1, sga2, sm.StructureMatcher().fit(pmg_s1, pmg_s2))\n#        if not sm.StructureMatcher().fit(pmg_s1, pmg_s2):\n#            import sys\n#            sys.exit()\nG, fac = 227, 4\nsites = [\"8a\", \"32e\"]\n# for H in [166, 141, 203, 210, 216]:\nfor H in [203, 210, 216]:\n    for i in range(10):\n        numIons = int(sum([int(i[:-1]) for i in sites]) / fac)\n        C1 = random_crystal(G, [\"C\"], [numIons], sites=[sites])\n        C2 = C1.subgroup(H=H)\n        # print(C1)\n        # print(C2)\n        pmg_s1 = C1.to_pymatgen()\n        pmg_s2 = C2.to_pymatgen()\n        sga1 = SpacegroupAnalyzer(pmg_s1).get_space_group_symbol()\n        sga2 = SpacegroupAnalyzer(pmg_s2).get_space_group_symbol()\n        print(i, sga1, sga2, sm.StructureMatcher().fit(pmg_s1, pmg_s2))\n        if not sm.StructureMatcher().fit(pmg_s1, pmg_s2):\n            import sys\n\n            sys.exit()\n"
  },
  {
    "path": "pyxtal/miscellaneous/test_subgroup2.py",
    "content": "import pymatgen.analysis.structure_matcher as sm\nfrom pymatgen.symmetry.analyzer import SpacegroupAnalyzer\n\nfrom pyxtal import pyxtal\nfrom pyxtal.symmetry import Group\n\nfor G in range(143, 195):\n    g = Group(G)\n    letter = str(g[0].multiplicity) + g[0].letter\n    C1 = pyxtal()\n    C1.from_random(3, G, [\"C\"], [g[0].multiplicity], sites=[[letter]])\n    # print(C1)\n    pmg_s1 = C1.to_pymatgen()\n    sga1 = SpacegroupAnalyzer(pmg_s1).get_space_group_symbol()\n\n    # each subgroup\n    # C2s = C1.subgroup(eps=0, group_type='t')\n    try:\n        C2s = C1.subgroup(eps=0, group_type=\"k\", max_cell=4)\n        for C2 in C2s:\n            # print(C2)\n            pmg_s2 = C2.to_pymatgen()\n            try:\n                sga2 = SpacegroupAnalyzer(pmg_s2, symprec=1e-4).get_space_group_symbol()\n            except:\n                # print(\"unable to find the space group\")\n                sga2 = None\n            print(G, C2.group.number, g.symbol, C2.group.symbol, sga1, sga2)\n            if not sm.StructureMatcher().fit(pmg_s1, pmg_s2):\n                print(\"WWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWW\")\n                print(C1)\n                print(C2)\n    except RuntimeError:\n        pass\n        # print(pmg_s1)\n        # print(pmg_s2)\n        # print(tran[i])\n        # import sys; sys.exit()\n"
  },
  {
    "path": "pyxtal/miscellaneous/test_supergroup.py",
    "content": "import importlib.resources\nfrom time import time\n\nfrom pyxtal import pyxtal\nfrom pyxtal.supergroup import supergroups\n\ndata = {\n    \"GeF2\": 62,\n    \"NiS-Cm\": 160,\n    \"lt_quartz\": 180,\n    \"BTO-Amm2\": 221,\n    \"BTO\": 221,\n    \"lt_cristobalite\": 227,\n    \"NaSb3F10\": 194,\n    \"NbO2\": 141,\n    # \"MPWO\": 225,\n}\n\nwith importlib.resources.as_file(importlib.resources.files(\"pyxtal\") / \"database\" / \"cifs\") as path:\n    cif_path = path\n\nfor cif in data:\n    t0 = time()\n    print(\"===============\", cif, \"===============\")\n    for tol in [1e-5, 1e-4, 1e-3, 1e-2, 1e-1, 1]:\n        s = pyxtal()\n        s.from_seed(str(cif_path / f\"{cif}.cif\"), tol=tol)\n        print(\"tol\", tol, s.group.number)\n\n    s = pyxtal()\n    s.from_seed(str(cif_path / f\"{cif}.cif\"))\n    if isinstance(data[cif], list):\n        sup = supergroups(s, path=data[cif], show=True, max_per_G=2500)\n    else:\n        sup = supergroups(s, G=data[cif], show=False, max_per_G=2500)\n    print(sup)\n    print(f\"{time() - t0:6.3f} seconds\")\n"
  },
  {
    "path": "pyxtal/miscellaneous/test_symmetry_rep.py",
    "content": "from pyxtal.symmetry import Group\nfrom pyxtal.operations import OperationAnalyzer\nfor g in range(1, 231):\n    spg = Group(g)\n    print('\\n\\n\\n', spg.number, spg.symbol)\n    ss = spg.get_spg_symmetry_object()\n    ss.to_one_hot(verbose=True)\n    for wp in spg:\n        ss = wp.get_site_symmetry_object()\n        print('\\n', g, wp.get_label(), ss.name)\n        ss.to_one_hot(verbose=True)\n"
  },
  {
    "path": "pyxtal/miscellaneous/test_torsion.py",
    "content": "from pyxtal import pyxtal\n\ncif_path = \"pyxtal/database/cifs/\"\nmol = [\"ACBNZA01\", \"CC(=O)NC1=CC=CC=C1C(=O)N\"]\n\nprint(\"read structure from seeds\")\nfor i in range(10):\n    c1 = pyxtal(molecular=True)\n    c1.from_seed(cif_path + mol[0] + \".cif\", molecules=[mol[1] + \".smi\"])\n    print(i, \"angles\", c1.mol_sites[0].encode()[-4:-1])\n\nprint(\"generate structure with prespecified torsions\")\ntorsions = [[-60.2, 1.7, 126.5]]\nfor i in range(10):\n    c1 = pyxtal(molecular=True)\n    c1.from_random(3, 14, [mol[1] + \".smi\"], [4], torsions=torsions)\n    print(i, \"angles\", c1.mol_sites[0].encode()[-4:-1])\n\nprint(\"generate structure with random torsions\")\ntorsions = None\nfor i in range(100):\n    c1 = pyxtal(molecular=True)\n    c1.from_random(3, 14, [mol[1] + \".smi\"], [4], torsions=torsions)\n    print(i, \"angles\", c1.mol_sites[0].encode()[-4:-1])\n"
  },
  {
    "path": "pyxtal/miscellaneous/test_wp.py",
    "content": "from sys import exit\n\nimport numpy as np\n\ndata = np.load(\"wyckoff_symmetry.npy\")\nidentity = data[1][0][0]\n# loop sg's\nfor x in range(1, 231):\n    seen = []\n    # loop Wyckoff positions\n    for _i, y in enumerate(data[x]):\n        # loop points\n        for _j, z in enumerate(y):\n            if z not in seen:\n                seen.append(z)\n            else:\n                if z != identity and z not in y:\n                    print(\"Error. Seen:\")\n                    for x in seen:\n                        print(x)\n                    print(\"Current:\")\n                    print(z)\n                    exit()\n    print(x)\n"
  },
  {
    "path": "pyxtal/miscellaneous/test_wyckoff_check.py",
    "content": "from structure import *\n\nallpassed = True\nfor sg in range(1, 231):\n    print(\"Calculating spacegroup \" + str(sg))\n    wyckoffs = get_wyckoffs(sg)\n    for index, wp in enumerate(wyckoffs):\n        v = np.random.random(3)\n        for i in range(3):\n            if np.random.random() < 0.5:\n                v[i] *= -1\n        # v = SymmOp.from_rotation_and_translation(np.zeros([3,3]), v)\n        points = []\n        for p in wp:\n            points.append(p.operate(v))\n        for i, p in enumerate(points):\n            for j in range(3):\n                a = np.random.random()\n                if a < 1 / 3:\n                    points[i][j] += 1\n                elif a < 2 / 3:\n                    points[i][j] -= 1\n        if check_wyckoff_position(points, sg) is not False:\n            pass\n        else:\n            allpassed = False\n            print(\"sg: \" + str(sg) + \", index: \" + str(index))\n            print(\"points:\")\n            for p in points:\n                print(p)\nif allpassed is True:\n    print(\"All spacegroups passed.\")\n"
  },
  {
    "path": "pyxtal/miscellaneous/test_xrd.py",
    "content": "import warnings\n\nimport numpy as np\n\nfrom pyxtal.XRD import XRD\n\nwarnings.filterwarnings(\"ignore\")\n\nfrom optparse import OptionParser\nfrom time import time\n\nimport matplotlib.gridspec as gridspec\nimport matplotlib.pyplot as plt\nfrom ase.build import bulk\nfrom ase.io import read\n\nparser = OptionParser()\nparser.add_option(\n    \"-n\",\n    \"--ncpu\",\n    dest=\"ncpu\",\n    help=\"number of cpus, default: 1\",\n    type=int,\n    default=1,\n    metavar=\"ncpu\",\n)\n(options, args) = parser.parse_args()\n\n# load calculator\nids = [0, 23, 24, 25, 26, 27, 28, 29]\npth = \"META-16000-220000-1.0-0.5ps/META_\"  # 0.dump\"\n\nfig = plt.figure(figsize=(9.0, 2.0 * (len(ids) + 1)))\ngs = gridspec.GridSpec(len(ids) + 1, 1, hspace=0)\nthetas = [20, 90]\nfor _i, id in enumerate(ids):\n    t0 = time()\n    a0 = read(pth + str(id) + \".dump\", format=\"lammps-dump-text\")\n    permutation = np.argsort(-1 * a0.numbers)\n    a0 = a0[permutation]\n    N = int(len(a0) / 2)\n    a0.set_atomic_numbers([31] * N + [7] * N)\n    ax0 = fig.add_subplot(gs[_i, 0])\n    xrd = XRD(a0, thetas=thetas, ncpu=options.ncpu)\n    legend = \"B4\" if _i == 0 else \"META_\" + str(id)\n\n    print(a0, time() - t0)\n    xrd.plot_pxrd(ax=ax0, res=0.01, fwhm=0.25, profile=\"gaussian\", legend=legend)\n    ax0.set_xlim(thetas)\n    ax0.set_ylim([0, 0.99])\n    ax0.xaxis.set_visible(False)\n\nax0 = fig.add_subplot(gs[-1, 0])\na0 = bulk(\"GaN\", \"rocksalt\", a=4.05, cubic=True)\nxrd = XRD(a0, thetas=thetas)\nlegend = \"B1\"\nxrd.plot_pxrd(ax=ax0, res=0.01, fwhm=0.25, profile=\"gaussian\", legend=legend)\nax0.set_xlim(thetas)\nax0.set_ylim([0, 0.99])\n\n\nfig.savefig(\"16k.pdf\")\n"
  },
  {
    "path": "pyxtal/miscellaneous/web_scalping_script/README.md",
    "content": "# Automated Crystal Structure Data Scalper\nUses the collective database of PubChem and the Cambridge Crystallographic Data Centre to download cif files\n\n## Set-Up\nIn order to get the online scalper set up, first ensure that PyXtal is already installed in your environment. Then, execute these shell commands\n```bash\ncd PyXtal/pyxtal/miscellaneous/web_scalping_script\npip install -r requirements.txt\n```\n\nThis script relies on the python package [Selenium](https://www.selenium.dev/), a powerful software that gives pythonic power over internet browsing. \nFor it to work, the latest version of a WebDriver needs to be made available to the script. \nThis script is written to use Google Chrome. To acquire the webdriver, first have google chrome and installed and find the version number.\nThen find the corresponding version number in this link here, [https://chromedriver.chromium.org/downloads](https://chromedriver.chromium.org/downloads) and download the appropriate driver for your operating system.\nUnzip the executable file, and find the absolute path to the chromedriver.exe file. The script takes the absolute path as an argument\n\n```bash\npython3 pubchem_import.py \"/Users/kevinparrish/Downloads/chromedriver\"\n```\n\n### NOTE\nYour system may block the the executable. Be sure to allow the executable permission to run.\n\n## Workflow\nThe script relies on two functionalities: \n\n`get_similiar_cids` accepts a PubChem Compound CID and a Maximium threshold as arguments. It then uses the PubChem python API `pubchempy` to search through pubchem database the the threshold number of similar structure compounds. It returns a list of the similar compound CIDs.\n\n`ccdcid_scalper` then takes the list and uses selenium to systematically search the PubChem website for these CIDs, where it will identify any potential links to the CCDC website attached to the page. It will grab all the CDC Numbers available, and return a final list of comma separated CDC Numbers that represent CIF files of crystals similar in structure to the starting input.\n\nThen, the comma separated list can be taken and put into the Identifiers field here [https://www.ccdc.cam.ac.uk/structures/Home/EditSearchForm?ccdc-check=52d8db2b85f6380110d1d48a537426b2](https://www.ccdc.cam.ac.uk/structures/Home/EditSearchForm?ccdc-check=52d8db2b85f6380110d1d48a537426b2). Check only the CSD database to search. The resulting list of cif files can be downloaded all at once through the button in the top left.\n\n"
  },
  {
    "path": "pyxtal/miscellaneous/web_scalping_script/pubchem_import.py",
    "content": "import sys\nimport time\n\nimport pubchempy as pcp\nfrom selenium import webdriver\nfrom selenium.webdriver.common.keys import Keys\n\n\ndef get_similar_cids(base, MaxRecords):\n    \"\"\"\n    Parameters:\n    base: PubChem CID of Starting chemical\n    MaxRecords: Number of Similar Compounds\n\n    Returns:\n    List of the CIDs of PubChem compounds similar to the base compound.\n\n    Accuracy decreases deeper into PubChem search algorithm\n    \"\"\"\n\n    base = str(base)\n    cids = pcp.get_compounds(base, searchtype=\"similarity\", MaxRecords=MaxRecords)\n    return [x.to_dict()[\"cid\"] for x in cids]\n\n\ndef check_for_ccdc_structures(cids):\n    \"\"\"'\n    Parameters:\n    cids: list of PubChem cids\n\n    Returns:\n    List of the the given CIDs that have CCDC crystal structure data\n    \"\"\"\n    good_list = []\n\n    for cid in cids:\n        cid = str(cid)\n        start = \"https://pubchem.ncbi.nlm.nih.gov/\"\n        driver = webdriver.chrome.webdriver.WebDriver(\n            \"/Users/kevinparrish/github/PyXtal/pyxtal/miscellaneous/web_scalping_script/chromedriver.exe\"\n        )\n        driver.get(start)\n        time.sleep(2)\n        elem = driver.find_element_by_css_selector(\"input\")\n        elem.send_keys(cid)\n        elem.send_keys(Keys.RETURN)\n\n        time.sleep(3)\n\n        elem = driver.find_element_by_link_text(cid)\n        elem.click()\n\n        time.sleep(4)\n\n        page = driver.page_source\n        time.sleep(1)\n        if \"CCDC\" in page:\n            good_list.append(cid)\n        driver.quit()\n    return good_list\n\n\ndef ccdcid_scalper(cids):\n    \"\"\"'\n    Parameters:\n    cids: list of PubChem cids\n\n    Returns:\n    List of lists. Primary axis same dimension as input list of cids.\n    Each element is a list of all the CCDC Numbers provided in the PubChem Page for each PubChem CID.\n    If there is no crystal structure data on the PubChem Page for a particular CID, there will be an empty list.\n\n\n\n    On CCDC website, bulk cif downloads can be done with using a comma separated list of CCDC numbers.\n    Flatten the returned list of this function to get that.\n    \"\"\"\n    CCDC_numbers = []\n\n    for cid in cids:\n        cid = str(cid)\n        start = \"https://pubchem.ncbi.nlm.nih.gov/\"\n        driver_location = sys.argv[1]\n        driver = webdriver.chrome.webdriver.WebDriver(executable_path=str(driver_location))\n        driver.get(start)\n        time.sleep(2)\n        elem = driver.find_element_by_css_selector(\"input\")\n        elem.send_keys(cid)\n        elem.send_keys(Keys.RETURN)\n\n        time.sleep(3)\n\n        elem = driver.find_element_by_link_text(cid)\n        elem.click()\n\n        time.sleep(4)\n\n        elems = driver.find_elements_by_partial_link_text(\"Ccdcid=\")\n        urls = [elem.text for elem in elems]\n        ccdcids = [url[url.index(\"=\") + 1 :] for url in urls]\n        ccdcids = [int(ccdcid) for ccdcid in ccdcids]\n\n        CCDC_numbers.append(ccdcids)\n        driver.quit()\n    return CCDC_numbers\n\n\nif __name__ == \"__main__\":\n    s = get_similar_cids(2244, 150)  # 2244 is aspirins PubChem CID\n    print(\"List of CIDs of Similar PubChem Compounds to Aspirin: ,\", s)\n\n    print(\"\\nCCDC Numbers listed on PubChem Page for each PubChem CID\")\n    ccdc_numbers = ccdcid_scalper(s)\n\n    for i, x in enumerate(ccdc_numbers):\n        print(s[i], \": \", x)\n\n    input = []\n    [input.extend(x) for x in ccdc_numbers]\n    print(\"\\nFlattened array for CCDC bulk search and download: \", input)\n"
  },
  {
    "path": "pyxtal/miscellaneous/web_scalping_script/requirements.txt",
    "content": "PubChemPy==1.0.4\nselenium==3.141.0\n\n"
  },
  {
    "path": "pyxtal/miscellaneous/xrd.py",
    "content": "import warnings\n\nimport numpy as np\n\nfrom pyxtal.XRD import XRD\n\nwarnings.filterwarnings(\"ignore\")\n\nfrom optparse import OptionParser\nfrom time import time\n\nimport matplotlib.gridspec as gridspec\nimport matplotlib.pyplot as plt\nfrom ase.build import bulk\n\nparser = OptionParser()\nparser.add_option(\n    \"-n\",\n    \"--ncpu\",\n    dest=\"ncpu\",\n    help=\"number of cpus, default: 1\",\n    type=int,\n    default=1,\n    metavar=\"ncpu\",\n)\n(options, args) = parser.parse_args()\n\n# load calculator\ncells = [1, 2, 3, 4]  # , 5]\nfig = plt.figure(figsize=(9.0, 2 * len(cells)))\ngs = gridspec.GridSpec(len(cells), 1, hspace=0)\nthetas = [20, 90]\na = bulk(\"GaN\", \"rocksalt\", a=4.27, cubic=True) * 2\n\nfor _i, i in enumerate(cells):\n    t0 = time()\n    a0 = a * i\n    permutation = np.argsort(-1 * a0.numbers)\n    a0 = a0[permutation]\n\n    ax0 = fig.add_subplot(gs[_i, 0])\n    xrd = XRD(a0, thetas=thetas, per_N=3e4, ncpu=options.ncpu)\n    xrd.plot_pxrd(\n        ax=ax0,\n        fontsize=12,\n        res=0.01,\n        fwhm=0.2,\n        profile=\"gaussian\",\n        legend=f\"N={len(a0):d} {time() - t0:.1f}s\",\n    )\n    ax0.set_xlim(thetas)\n    ax0.set_ylim([0, 0.99])\n    if _i < len(cells) - 1:\n        ax0.xaxis.set_visible(False)\n    print(i, a0, time() - t0)\n    print(xrd)\n\nfig.savefig(\"test.pdf\")\n"
  },
  {
    "path": "pyxtal/miscellaneous/xrd_comp.py",
    "content": "from time import time\n\nimport numpy as np\nfrom pymatgen.analysis.diffraction.xrd import XRDCalculator\n\nfrom pyxtal import pyxtal\nfrom pyxtal.util import ase2pymatgen\nfrom pyxtal.XRD import XRD\n\ns = pyxtal()\nthetas = (5, 50)\n# thetas = (30, 33)\n\ncifs = [\"naphthalene\", \"NaSb3F10\", \"PAHYON01\", \"GeF2\"]\nfor cif in cifs:\n    s.from_seed(\"pyxtal/database/cifs/\" + cif + \".cif\")\n    for rep in [1, 2, 3]:  # , 4]: #, 5, 6]:\n        a_struc = s.to_ase() * rep\n        p_struc = ase2pymatgen(a_struc)\n\n        xs = []\n        ys = []\n        for i in range(2):\n            t0 = time()\n            if i == 0:\n                method = \"pyxtal\"\n                xrd0 = XRD(a_struc, thetas=thetas, per_N=3e4)\n                ids = np.where(xrd0.pxrd[:, -1] * 100 > 1e-3)[0]\n                xs.append(xrd0.pxrd[ids, 0])\n                ys.append(xrd0.pxrd[ids, -1] * 100)\n                # print(xrd0)\n            else:\n                method = \"pymatgen\"\n                c = XRDCalculator()\n                xrd0 = c.get_pattern(p_struc, two_theta_range=thetas)\n                xs.append(xrd0.x)\n                ys.append(xrd0.y)\n            print(f\"{len(a_struc):6d} {method:8s} {time() - t0:6.1f}\")\n        if len(xs[0]) == len(xs[1]):\n            xdiff = np.abs(xs[1] - xs[0]).max()\n            ydiff = np.abs(ys[1] - ys[0]).max()\n            if max([xdiff, ydiff]) > 1e-2:\n                print(\"problem\", xdiff, ydiff)\n            # else:\n            #    print(xs[0])\n        else:\n            if rep < 2:\n                print(\"problem in calculation hkl\")\n                print(\"pyxtal\")\n                print(xs[0])\n                print(\"pymatgen\")\n                print(xs[1])\n            import sys\n\n            sys.exit()\n"
  },
  {
    "path": "pyxtal/molecular_crystal.py",
    "content": "\"\"\"\nModule for generating molecular crystals\n\"\"\"\n\n# Standard Libraries\nfrom copy import deepcopy\nimport numpy as np\n\nfrom pyxtal.lattice import Lattice\nfrom pyxtal.molecule import pyxtal_molecule\nfrom pyxtal.msg import Comp_CompatibilityError, Symm_CompatibilityError, VolumeError\nfrom pyxtal.symmetry import Group\nfrom pyxtal.symmetry import choose_wyckoff_mol as wyc_mol\nfrom pyxtal.tolerance import Tol_matrix\nfrom pyxtal.wyckoff_site import mol_site\n\n\n# Define functions\n# ------------------------------\nclass molecular_crystal:\n    \"\"\"\n    Class for storing and generating molecular crystals based on symmetry\n    constraints. Based on the crystal.random_crystal class for atomic crystals.\n    Given a spacegroup, list of molecule objects, molecular stoichiometry, and\n    a volume factor, generates a molecular crystal consistent with the given\n    constraints.\n\n    Args:\n        dim: dimenion (1, 2, 3)\n        group: the group number (1-75, 1-80, 1-230)\n        molecules: a list of pymatgen.core.structure.Molecule objects for\n            each type of molecule. Alternatively, you may supply a file path,\n            or the name of molecules from the built_in\n            `database <pyxtal.database.collection.html>`_\n        numMols: A list of the number of each type of molecule within the\n            primitive cell (NOT the conventioal cell)\n        factor: A volume factor used to generate a larger or smaller\n            unit cell. Increasing this gives extra space between molecules\n        lattice (optional): the `Lattice <pyxtal.lattice.Lattice.html>`_\n            object to define the unit cell\n        conventional (optional): count the atomic numbers in a conventional cell\n        tm (optional): the `Tol_matrix <pyxtal.tolerance.tolerance.html>`_\n            object to define the distances\n        sites (optional): pre-assigned wyckoff sites (e.g., `[[\"4a\"], [\"2b\"]]`)\n        seed (optional): seeds\n        use_hall: False\n    \"\"\"\n\n    def __init__(\n        self,\n        dim,\n        group,\n        molecules,\n        numMols,\n        factor=1.1,\n        thickness=None,\n        area=None,\n        lattice=None,\n        torsions=None,\n        tm=Tol_matrix(prototype=\"molecular\"),\n        sites=None,\n        conventional=True,\n        seed=None,\n        random_state=None,\n        use_hall=False,\n    ):\n        # Initialize\n        self.source = \"Random\"\n        self.valid = False\n        self.factor = factor\n        self.seed = seed\n        self.random_state = np.random.default_rng(random_state)\n\n        # Dimesion\n        self.dim = dim\n        self.area = area  # Cross-section area for 1D\n        self.thickness = thickness  # Thickness of 2D slab\n\n        # The periodic boundary condition\n        if dim == 3:\n            self.PBC = [1, 1, 1]\n        elif dim == 2:\n            self.PBC = [1, 1, 0]\n        elif dim == 1:\n            self.PBC = [0, 0, 1]\n\n        # Symmetry Group\n        if type(group) == Group:\n            self.group = group\n        else:\n            self.group = Group(group, dim=self.dim, use_hall=use_hall)\n        self.number = self.group.number\n        self.hall_number = self.group.hall_number\n\n        # Composition: QZ: be cautious about the multiplicity\n        if numMols is None:\n            numMols = [len(self.group[0])] * len(molecules)\n            no_check_compability = True\n        else:\n            numMols = np.array(numMols)  # must convert it to np.array\n            no_check_compability = False\n        mul = self.group.cellsize() if not conventional else 1\n        self.numMols = numMols * mul\n\n        # Tolerance matrix\n        if type(tm) == Tol_matrix:\n            self.tol_matrix = tm\n        else:\n            self.tol_matrix = Tol_matrix(prototype=tm)\n\n        # Wyckofff sites\n        self.set_molecules(molecules, torsions)\n        self.set_sites(sites)\n        valid_orientation = self.set_orientations()\n\n        if not valid_orientation:\n            msg = \"Molecular symmetry is compatible with WP site\\n\"\n            msg += \"\".join(f\"{mol}: {mol.pga.sch_symbol}, \" for mol in self.molecules)\n            raise Symm_CompatibilityError(msg)\n\n        # Check the minimum dof within the Wyckoff positions\n        if no_check_compability:\n            compat, self.has_freedom = True, True\n        else:\n            compat, self.has_freedom = self.group.check_compatible(self.numMols) #self.valid_orientations)\n\n        if not compat:\n            msg = f\"Incompatible composition {self.numMols} with symmetry {self.group.number}\"\n            raise Comp_CompatibilityError(msg)\n\n        self.set_volume()\n        self.set_lattice(lattice)\n        self.set_crystal()\n\n    def __str__(self):\n        s = \"------Random Molecular Crystal------\"\n        s += f\"\\nDimension: {self.dim}\"\n        # s += f\"\\nGroup: {self.symbol}\"\n        s += f\"\\nVolume factor: {self.factor}\"\n        s += f\"\\n{self.lattice}\"\n        if self.valid:\n            s += \"\\nWyckoff sites:\"\n            s += \"\".join(f\"\\n\\t{wyc}\" for wyc in self.mol_sites)\n        else:\n            s += \"\\nStructure not generated.\"\n        return s\n\n    def __repr__(self):\n        return str(self)\n\n    def set_sites(self, sites):\n        \"\"\"\n        Initialize and store symmetry sites for each molecule.\n\n        This function processes a list of symmetry sites, validates them against the expected\n        number of molecules, and stores them in the ``self.sites`` dictionary. Each entry in the\n        ``sites`` list can be either a dictionary or another type (list, etc.), and if no valid\n        site is provided for a molecule, `None` is assigned for that molecule's site.\n\n        Args:\n            sites (list): A list of sites corresponding to ``self.molecules``. They can be:\n            - A dictionary of site information (keys represent Wyckoff letters or\n                other identifiers, and values are the corresponding information).\n            - A list or other type representing site information.\n            - None, if no symmetry site information is available for that molecule.\n        \"\"\"\n        # Initialize the self.sites dictionary to store site information\n        self.sites = {}\n\n        # Iterate over the molecules and their corresponding sites\n        for i, _mol in enumerate(self.molecules):\n            if sites is not None and sites[i] is not None and len(sites[i]) > 0:\n                self._check_consistency(sites[i], self.numMols[i])\n                if isinstance(sites[i], dict):\n                    self.sites[i] = []\n                    for item in sites[i].items():\n                        self.sites[i].append({item[0]: item[1]})\n                else:\n                    self.sites[i] = sites[i]\n            else:\n                self.sites[i] = None\n\n    def set_molecules(self, molecules, torsions):\n        \"\"\"\n        Initialize and store molecular information.\n\n        This function processes a list of molecules and initializes each one\n        as a `pyxtal_molecule` object. If torsions are provided, they are\n        applied to the respective molecules during initialization.\n        It stored information in the `self.molecules` attribute.\n\n        Args:\n            molecules (list): A list of molecules, where each entry can either be:\n                          - A SMILES string or file path representing a molecule.\n                          - An already-initialized `pyxtal_molecule` object.\n            torsions (list): A list of torsion angles. The length of `torsions`\n                         must be equal to the length of `molecules`, or None\n                         can be provided if no torsions are needed.\n        \"\"\"\n\n        # If no torsions are provided, initialize with None for each molecule\n        if torsions is None:\n            torsions = [None] * len(molecules)\n\n        # Initialize the molecules list to store processed pyxtal_molecule objects\n        self.molecules = []\n\n        # Iterate over the molecules\n        for i, mol in enumerate(molecules):\n            # already a pyxtal_molecule object\n            if isinstance(mol, pyxtal_molecule):\n                p_mol = mol\n            else:\n                p_mol = pyxtal_molecule(mol,\n                                        seed=self.seed,\n                                        torsions=torsions[i],\n                                        tm=self.tol_matrix,\n                                        random_state=self.random_state)\n            self.molecules.append(p_mol)\n\n    def set_orientations(self):\n        \"\"\"\n        Calculates the valid orientations for each Molecule and Wyckoff\n        position. Returns a list with 4 indices:\n            - 1: the molecular prototype's index within self.molecules\n            - 2: the WP's 1st index (based on multiplicity)\n            - 3: the WP's 2nd index (within the group of same multiplicity)\n            - 4: the index of a valid orientation for the molecule/WP pair\n\n        For example, ``self.valid_orientations[i][j][k]`` would be a list of valid\n        orientations for ``self.molecules[i]``, in the Wyckoff position\n        ``self.group.wyckoffs_organized[j][k]``.\n        \"\"\"\n        valid_ori = False\n        self.valid_orientations = []\n        for i, pyxtal_mol in enumerate(self.molecules):\n            self.valid_orientations.append([])\n            for x in self.group.wyckoffs_organized:\n                self.valid_orientations[-1].append([])\n                for _j, wp in enumerate(x):\n                    # Don't check the wp with high multiplicity\n                    if len(wp) > self.numMols[i]:\n                        allowed = []\n                    else:\n                        allowed = pyxtal_mol.get_orientations_in_wp(wp)\n                        if len(allowed) > 0:\n                            valid_ori = True\n                    self.valid_orientations[-1][-1].append(allowed)\n        return valid_ori\n\n    def set_volume(self):\n        \"\"\"\n        Given the molecular stoichiometry, estimate the volume for a unit cell.\n        \"\"\"\n        volume = 0\n        for numMol, mol in zip(self.numMols, self.molecules):\n            volume += numMol * mol.volume\n        self.volume = abs(self.factor * volume)\n\n    def set_lattice(self, lattice):\n        \"\"\"\n        Generate the initial lattice.\n        \"\"\"\n        if lattice is not None:\n            # Use the provided lattice\n            self.lattice = lattice\n            self.volume = lattice.volume\n            # Make sure the custom lattice PBC axes are correct.\n            if lattice.PBC != self.PBC:\n                self.lattice.PBC = self.PBC\n                raise ValueError(\"PBC is incompatible \" + str(self.PBC))\n        else:\n            # Determine the unique axis\n            if self.dim == 2:\n                unique_axis = \"c\" if self.number in range(3, 8) else \"a\"\n            elif self.dim == 1:\n                unique_axis = \"a\" if self.number in range(3, 8) else \"c\"\n            else:\n                unique_axis = \"c\"\n\n            # Generate a Lattice instance\n            good_lattice = False\n            for _cycle in range(10):\n                try:\n                    if self.group.number < 10:\n                        coef = 1.0 * self.numMols[0] / self.group[0].multiplicity\n                    elif 10 <= self.group.number <= 15:\n                        coef = 2.0  # 2/m\n                    elif 16 <= self.group.number <= 74:\n                        coef = 1.5\n                    else:\n                        coef = 1.0\n\n                    self.lattice = Lattice(\n                        self.group.lattice_type,\n                        self.volume,\n                        PBC=self.PBC,\n                        unique_axis=unique_axis,\n                        thickness=self.thickness,\n                        area=self.area,\n                        min_special=coef * max([mol.get_max_length() for mol in self.molecules]),\n                        random_state=self.random_state,\n                    )\n                    good_lattice = True\n                    break\n                except VolumeError:\n                    self.volume *= 1.1\n                    msg = \"Warning: increase the volume by 1.1 times: \"\n                    msg += f\"{self.volume:.2f}\"\n                    print(msg)\n\n            if not good_lattice:\n                msg = f\"Volume estimation {self.volume:.2f} is very bad\"\n                msg += \" with the given composition \"\n                msg += str(self.numMols)\n                raise RuntimeError(msg)\n\n    def set_crystal(self):\n        \"\"\"\n        The main code to generate a random molecular crystal.\n        If successful, ``self.valid`` is True\n        \"\"\"\n        self.numattempts = 0\n        if not self.has_freedom:\n            self.lattice_attempts = 20\n            self.coord_attempts = 3\n            self.ori_attempts = 1\n        else:\n            self.lattice_attempts = 40\n            self.coord_attempts = 30\n            self.ori_attempts = 5\n\n        if not self.lattice.allow_volume_reset:\n            self.lattice_attempts = 1\n\n        for cycle1 in range(self.lattice_attempts):\n            self.cycle1 = cycle1\n            for cycle2 in range(self.coord_attempts):\n                self.cycle2 = cycle2\n                output = self._set_coords()\n\n                if output:\n                    self.mol_sites = output\n                    break\n            if self.valid:\n                return\n            else:\n                self.lattice.reset_matrix()\n\n        print(\"Cannot generate crystal after max attempts.\")\n\n    def _set_coords(self):\n        \"\"\"\n        Generate coordinates for random crystal.\n        \"\"\"\n\n        mol_sites_total = []\n        # Add molecules\n        for i, numMol in enumerate(self.numMols):\n            pyxtal_mol = self.molecules[i]\n            valid_ori = self.valid_orientations[i]\n            output = self._set_mol_wyckoffs(i, numMol, pyxtal_mol, valid_ori, mol_sites_total)\n            if output is not None:\n                mol_sites_total.extend(output)\n            else:\n                # correct multiplicity not achieved exit and start over\n                return None\n\n        self.valid = True\n        return mol_sites_total\n\n    def _set_mol_wyckoffs(self, id, numMol, pyxtal_mol, valid_ori, mol_wyks):\n        \"\"\"\n        Generates a set of wyckoff positions to accomodate a given number\n        of molecules.\n\n        Args:\n            id: molecular id\n            numMol: Number of ions to accomodate\n            pyxtal_mol: Type of species being placed on wyckoff site\n            valid_ori: list of valid orientations\n            mol_wyks: current wyckoff sites\n\n        Returns:\n            if sucess, wyckoff_sites_tmp: list of wyckoff sites for valid sites\n            otherwise, None\n\n        \"\"\"\n        numMol_added = 0\n        mol_sites_tmp = []\n\n        # Now we start to add the specie to the wyckoff position\n        sites_list = deepcopy(self.sites[id])  # the list of Wyckoff site\n        if sites_list is not None:\n            self.wyckoff_attempts = max(len(sites_list) * 2, 10)\n        else:\n            # the minimum numattempts is to put all atoms to the general WPs\n            min_wyckoffs = int(numMol / len(self.group.wyckoffs_organized[0][0]))\n            self.wyckoff_attempts = max(2 * min_wyckoffs, 10)\n\n        for _cycle in range(self.wyckoff_attempts):\n            # Choose a random WP for given multiplicity: 2a, 2b, 2c\n            if sites_list is not None and len(sites_list) > 0:\n                site = sites_list[0]\n            else:  # Selecting the merging\n                site = None\n\n            # NOTE: The molecular version return wyckoff indices, not ops\n            diff = numMol - numMol_added\n\n            if type(site) is dict:  # site with coordinates\n                key = next(iter(site.keys()))\n                wp = wyc_mol(self.group, diff, key, valid_ori, True, self.dim, self.random_state)\n            else:\n                wp = wyc_mol(self.group, diff, site, valid_ori, True, self.dim, self.random_state)\n\n            if wp is not False:\n                # Generate a list of coords from the wyckoff position\n                mult = wp.multiplicity  # remember the original multiplicity\n\n                pt = site[key] if type(site) is dict else self.lattice.generate_point()\n                # merge coordinates if the atoms are close\n                mtol = pyxtal_mol.radius * 0.5\n                pt, wp, oris = wp.merge(pt, self.lattice.matrix, mtol, valid_ori, self.group)\n\n                if wp is not False:\n                    if site is not None and mult != wp.multiplicity:\n                        continue\n                    if self.dim == 2 and self.thickness is not None and self.thickness < 0.1:\n                        pt[-1] = 0.5\n\n                    ms0 = self._set_orientation(pyxtal_mol, pt, oris, wp)\n                    if not ms0.short_dist():\n                        # Check current WP against existing WP's\n                        passed_wp_check = True\n                        # print(\"Checking\", ms0)\n                        for ms1 in mol_wyks + mol_sites_tmp:\n                            if not ms0.short_dist_with_wp2(ms1, tm=self.tol_matrix):\n                                passed_wp_check = False\n                            # else:\n                            #    print(\"passing\", ms1)\n\n                        if passed_wp_check:\n                            if sites_list is not None:\n                                sites_list.pop(0)\n\n                            ms0.type = id\n                            mol_sites_tmp.append(ms0)\n                            numMol_added += len(ms0.wp)\n\n                            # We have enough molecules of the current type\n                            if numMol_added == numMol:\n                                return mol_sites_tmp\n        return None\n\n\n    def _set_orientation(self, pyxtal_mol, pt, oris, wp):\n        \"\"\"\n        Generate valid orientations for a given molecule in a Wyckoff position.\n\n        It tries to generate valid orientations for the molecule by:\n            - Selecting a random orientation from a list of possible orientations.\n            - Flipping the orientation to test different alignments.\n            - Checking the smallest distance between atoms and ensuring it's valid.\n            - Using the bisection method is refine the orientation.\n\n        Args:\n            pyxtal_mol: The pyxtal_molecule object representing the molecule.\n            pt: Position of the molecule.\n            oris: List of potential orientations.\n            wp: Wyckoff position object representing the symmetry of the site.\n\n        Returns:\n            ms0: A valid ``mol_site`` object if an acceptable orientation is found.\n             returns `None` if no valid orientation is found within the attempts.\n        \"\"\"\n\n        # NOTE removing this copy causes tests to fail -> state not managed well\n        ori = self.random_state.choice(oris).copy()\n        ori.change_orientation(flip=True)\n\n        # Create a mol_site object with the current orientation\n        ms0 = mol_site(pyxtal_mol, pt, ori, wp, self.lattice)\n\n        # Check if the current orientation results in valid distances\n        if len(pyxtal_mol.mol) > 1 and ori.degrees > 0:\n            if ms0.short_dist():\n                ms0.optimize_orientation_by_dist(self.ori_attempts)\n        return ms0\n\n    def _check_consistency(self, site, numMol):\n        \"\"\"\n        Check if N_mol is consistent with the symmetry constraints of the system.\n\n        It verifies if the sum of molecules from the WP matches (`numMol`).\n        Each Wyckoff site string in the `site` list includes a number that\n        represents how many molecules are associated with that site.\n\n        If a inconsistency is found, it raises a ValueError with a detailed message.\n\n        Args:\n            site (list of str): A list of strings for Wyckoff sites. Each string\n                            contains a number (e.g., \"3a\", \"4b\") where the number\n                            indicates how many molecules are at that site.\n            numMol (int): The total number of molecules expected in the structure.\n\n        Returns:\n            bool: Returns `True` if the number of molecules matches `numMol`.\n                Raises a ValueError if they do not match.\n        \"\"\"\n        num = 0\n        for s in site:\n            num += int(s[:-1])\n        if numMol == num:\n            return True\n        else:\n            msg = \"\\nThe requested number of molecules is inconsistent: \"\n            msg += str(site)\n            msg += f\"\\nfrom numMols: {numMol:d}\"\n            msg += f\"\\nfrom Wyckoff list: {num:d}\"\n            raise ValueError(msg)\n"
  },
  {
    "path": "pyxtal/molecule.py",
    "content": "\"\"\"\nModule for handling molecules.\n\"\"\"\n\nimport importlib.resources\nimport os\nimport re\nfrom copy import deepcopy\nfrom operator import itemgetter\n\nimport networkx as nx\nimport numpy as np\nfrom monty.serialization import loadfn\nfrom numpy.random import Generator\nfrom pymatgen.core.structure import Molecule\nfrom pymatgen.symmetry.analyzer import PointGroupAnalyzer, generate_full_symmops\nfrom scipy.spatial.distance import cdist\nfrom scipy.spatial.transform import Rotation\n\nfrom pyxtal.constants import single_smiles\nfrom pyxtal.database.collection import Collection\nfrom pyxtal.database.element import Element\nfrom pyxtal.msg import AtomTypeError, ConformerError\nfrom pyxtal.operations import OperationAnalyzer, SymmOp, angle, rotate_vector\nfrom pyxtal.symmetry import Group\nfrom pyxtal.tolerance import Tol_matrix\n\nwith importlib.resources.as_file(importlib.resources.files(\"pyxtal\") / \"database\" / \"bonds.json\") as path:\n    bonds = loadfn(path)\n\nmolecule_collection = Collection(\"molecules\")\n\n\ndef find_rotor_from_smile(smile):\n    \"\"\"\n    Find the positions of rotatable bonds based on a SMILES string.\n\n    Rotatable bonds are those which are not part of rings and which\n    fit specific chemical patterns. These torsions are filtered by\n    rules such as avoiding atoms with only one neighbor and avoiding\n    equivalent torsions.\n\n    Args:\n        smile (str): The SMILES string representing the molecule.\n\n    Returns:\n        list of tuples: Each tuple represents a torsion as (i, j, k, l)\n        where i-j-k-l are atom indices involved in the rotatable bond.\n\n    \"\"\"\n\n    def cleaner(list_to_clean, neighbors):\n        \"\"\"\n        Remove duplicate and invalid torsions from a list of atom index tuples.\n\n        Filters torsions based on the neighbors count for the atoms involved in the torsion.\n        This avoids torsions that involve terminal atoms and duplicates.\n\n        Args:\n            list_to_clean (list of tuples): List of torsions (i, j, k, l)\n            neighbors (list of int): List of neighbors for each atom in the molecule.\n\n        Returns:\n            list of tuples: Cleaned list of torsions.\n        \"\"\"\n\n        for_remove = []\n        for x in reversed(range(len(list_to_clean))):\n            ix0 = itemgetter(0)(list_to_clean[x])\n            ix1 = itemgetter(0)(list_to_clean[x])\n            ix2 = itemgetter(0)(list_to_clean[x])\n            ix3 = itemgetter(3)(list_to_clean[x])\n            # for i-j-k-l, we don't want i, l are the ending members\n            # C-C-S=O is not a good choice since O is only 1-coordinated\n            # C-C-NO2 is a good choice since O is only 1-coordinated\n\n            # Remove torsions that involve terminal atoms with only one neighbor\n            if neighbors[ix0] == 1 and neighbors[ix1] == 2 or neighbors[ix3] == 1 and neighbors[ix2] == 2:\n                for_remove.append(x)\n            else:\n                # Remove duplicate torsions that are equivalent\n                for y in reversed(range(x)):\n                    ix1 = itemgetter(1)(list_to_clean[x])\n                    ix2 = itemgetter(2)(list_to_clean[x])\n                    iy1 = itemgetter(1)(list_to_clean[y])\n                    iy2 = itemgetter(2)(list_to_clean[y])\n                    if [ix1, ix2] == [iy1, iy2] or [ix1, ix2] == [iy2, iy1]:\n                        for_remove.append(y)\n        clean_list = []\n        for i, v in enumerate(list_to_clean):\n            if i not in set(for_remove):\n                clean_list.append(v)\n        return clean_list\n\n    if smile in [\"Cl-\", \"F-\", \"Br-\", \"I-\", \"Li+\", \"Na+\"]:\n        return []\n    else:\n        from rdkit import Chem\n\n        # SMARTS patterns to identify rotatable bonds and double bonds\n        smarts_torsion1 = \"[*]~[!$(*#*)&!D1]-&!@[!$(*#*)&!D1]~[*]\"\n        smarts_torsion2 = \"[*]~[^2]=[^2]~[*]\"  # C=C bonds\n        # smarts_torsion2=\"[*]~[^1]#[^1]~[*]\" # C-C triples bonds, to be fixed\n\n        mol = Chem.MolFromSmiles(smile)\n        mol_with_H = Chem.AddHs(mol)\n        N_atom = mol.GetNumAtoms()\n        neighbors = [len(a.GetNeighbors()) for a in mol_with_H.GetAtoms()][:N_atom]\n        # make sure that the ending members will be counted\n        # neighbors[0] += 1; neighbors[-1] += 1\n        patn_tor1 = Chem.MolFromSmarts(smarts_torsion1)\n        torsion1 = cleaner(list(mol.GetSubstructMatches(patn_tor1)), neighbors)\n        patn_tor2 = Chem.MolFromSmarts(smarts_torsion2)\n        torsion2 = cleaner(list(mol.GetSubstructMatches(patn_tor2)), neighbors)\n\n        # Combine and clean torsions\n        tmp = cleaner(torsion1 + torsion2, neighbors)\n\n        # Exclude torsions that are part of rings\n        torsions = []\n        for t in tmp:\n            (i, j, k, l) = t\n            b = mol.GetBondBetweenAtoms(j, k)\n            if not b.IsInRing():\n                torsions.append(t)\n        # if len(torsions) > 6: torsions[1] = (4, 7, 10, 15)\n        return torsions  # + [(6, 7, 8, 3), (6, 5, 4, 3)]\n\n\ndef has_non_aromatic_ring(smiles):\n    \"\"\"\n    Determine if a molecule has a non-aromatic ring.\n    It checks if a cyclic ring system exists that is not aromatic.\n\n    Args:\n        smiles (str): A SMILES string representing the molecule.\n\n    Returns:\n        bool: True if it contains a non-aromatic ring, False otherwise.\n    \"\"\"\n    from rdkit import Chem\n\n    # Convert the SMILES string to an RDKit molecule object\n    mol = Chem.MolFromSmiles(smiles)\n\n    # Check if the molecule has rings at all\n    if not mol.HasSubstructMatch(Chem.MolFromSmarts(\"[R]\")):\n        return False  # No rings present\n\n    # Get information about the rings in the molecule\n    ring_info = mol.GetRingInfo()\n\n    # Check each ring to see if it is aromatic; return True if a non-aromatic ring is found\n    return any(\n        not all(mol.GetBondWithIdx(idx).GetIsAromatic() for idx in ring) for ring in ring_info.BondRings()\n    )  # No non-aromatic rings found\n\n\ndef generate_molecules(smile, wps=None, N_iter=5, N_conf=10, tol=0.5, use_uff=False):\n    \"\"\"\n    generate pyxtal_molecules from smiles codes.\n\n    Args:\n        smile: smiles code\n        wps: list of wps\n        N_iter: rdkit parameter\n        N_conf: number of conformers\n        tol: rdkit parameter\n        use_uff: whether to use UFF for force field optimization\n\n    Returns:\n        a list of pyxtal molecules\n    \"\"\"\n\n    from rdkit import Chem\n    from rdkit.Chem import AllChem\n\n    torsionlist = find_rotor_from_smile(smile)\n    if len(torsionlist) == 0:\n        if has_non_aromatic_ring(smile):\n            Num = 10\n    else:\n        Num = len(torsionlist)\n\n    def get_conformers(smile, seed):\n        mol = Chem.MolFromSmiles(smile)\n        mol = Chem.AddHs(mol)\n        ps = AllChem.ETKDGv3()\n        ps.randomSeed = seed\n        ps.runeRmsThresh = tol\n        AllChem.EmbedMultipleConfs(mol, max([4, Num]), ps)\n        return mol\n\n    m0 = pyxtal_molecule(smile + \".smi\", fix=True)\n    _, valid = m0.get_orientations_in_wps(wps)\n    mols = []\n    if valid:\n        # print('torsion', m0.get_torsion_angles())\n        mols.append(m0)\n\n    for i in range(N_iter):\n        mol = get_conformers(smile, seed=i)\n        if use_uff:\n            res = AllChem.UFFOptimizeMoleculeConfs(mol)\n        else:\n            res = AllChem.MMFFOptimizeMoleculeConfs(mol)\n\n        for id, conf in enumerate(mol.GetConformers()):\n            m = m0.copy()\n            xyz = m.align(conf)\n            m.reset_positions(xyz)\n            m.get_symmetry(symmetrize=True)\n            m.energy = res[id][1]\n            _, valid = m.get_orientations_in_wps(wps)\n            add = bool(valid)\n            if add:\n                match = False\n                for mol in mols:\n                    rms, _ = mol.get_rmsd2(xyz, mol.mol.cart_coords)\n                    # print(\"rms\", mol.get_torsion_angles(), rms)\n                    if rms < tol:\n                        match = True\n                        break\n                if not match:\n                    # print(len(mols)+1, m.get_torsion_angles(xyz))\n                    mols.append(m)\n                    if len(mols) == N_conf:\n                        return mols\n    # for m in mols:\n    #    print(m.energy, m.pga.sch_symbol, len(torsionlist))\n    return mols\n\n\nclass pyxtal_molecule:\n    \"\"\"\n    A molecule class to support the descriptin of molecules in a xtal\n\n    Features:\n        - Parse the input from different formats (SMILES, xyz, gjf, etc.).\n        - Estimate molecular properties such as volume, tolerance, and radii.\n        - Find and store symmetry information of the molecule.\n        - Get the principal axis of the molecule.\n        - Re-align the molecule to center it at (0, 0, 0).\n\n    SMILES Format:\n    If a SMILES format is used, the molecular center is defined following\n    RDKit's handling of molecular transformations:\n    https://www.rdkit.org/docs/source/rdkit.Chem.rdMolTransforms.html\n\n    Otherwise, the center is just the mean of atomic positions\n\n    Args:\n        mol (str or pymatgen.Molecule): The molecule representation, either as a string\n            (SMILES or filename) or as a pymatgen `Molecule` object.\n        tm (Tol_matrix, optional): A tolerance matrix object, used for bond checking.\n        symmetrize (bool, optional): Whether to symmetrize the molecule by point group.\n        fix (bool, optional): Fix torsions in the molecule.\n        torsions (list, optional): List of torsions to analyze or fix.\n        seed (int, optional): Random seed for internal processes.\n        random_state (int or numpy.Generator, optional): state for random seed.\n        symtol (float, optional): Symmetry tolerance. Default is 0.3.\n        active_sites (list, optional): List of active sites within the molecule.\n        use_uff (bool, optional): Use UFF for force field. Default is False.\n    \"\"\"\n\n    def list_molecules():\n        \"\"\"\n        list the internally supported molecules\n        \"\"\"\n        molecule_collection.show_names()\n\n    def __init__(\n        self,\n        mol=None,\n        symmetrize=True,\n        fix=False,\n        torsions=None,\n        seed=None,\n        random_state=None,\n        tm=Tol_matrix(prototype=\"molecular\"),\n        symtol=0.3,\n        active_sites=None,\n        use_uff=False,\n    ):\n\n        mo = None\n        self.smile = None\n        self.torsionlist = [] #None\n        self.reflect = False\n        if seed is None:\n            seed = 0xF00D\n        self.seed = seed\n        self.use_uff = use_uff\n\n        # Active sites is a two list of tuples [(donors), (acceptors)]\n        self.active_sites = active_sites\n\n        if isinstance(random_state, Generator):\n            self.random_state = random_state.spawn(1)[0]\n        else:\n            self.random_state = np.random.default_rng(random_state)\n\n        # Parse molecules: either file or molecule name\n        if isinstance(mol, str):\n            tmp = mol.split(\".\")\n            self.name = tmp[0]\n            if len(tmp) > 1:\n                # Load the molecule from the given file\n                if tmp[-1] in [\"xyz\", \"gjf\", \"g03\", \"json\"]:\n                    if os.path.exists(mol):\n                        mo = Molecule.from_file(mol)\n                    else:\n                        raise NameError(f\"{mol:s} is not a valid path\")\n                elif tmp[-1] == \"smi\":\n                    self.smile = tmp[0]\n                    # force the use of UFF for SMILES containing P or p\n                    if 'P' in self.smile or 'p' in self.smile:\n                        self.use_uff = True\n                    res = self.rdkit_mol_init(tmp[0], fix, torsions)\n                    (symbols, xyz, self.torsionlist) = res\n                    mo = Molecule(symbols, xyz)\n                    symmetrize = False\n                else:\n                    raise NameError(f\"{tmp[-1]:s} is not a supported format\")\n            else:\n                # print('\\nLoad the molecule {:s} from collections'.format(mol))\n                mo = molecule_collection[mol]\n\n        elif hasattr(mol, \"sites\"):  # pymatgen molecule\n            self.name = str(mol.formula)\n            mo = mol\n\n        if mo is None:\n            msg = f\"Could not create molecules from given input: {mol:s}\"\n            raise NameError(msg)\n\n        # Molecule and symmetry analysis\n        self.props = mo.site_properties\n        if len(mo) > 1 and symmetrize:\n            try:\n                pga = PointGroupAnalyzer(mo, symtol)\n                mo = pga.symmetrize_molecule()[\"sym_mol\"]\n            except:\n                print(\n                    \"Warning: Problem in parsing molecular symmetry with symtol=\",\n                    symtol,\n                )\n                print(\"Proceed with no symmetrization\")\n        self.mol = mo\n        self.get_symmetry()\n\n        # Additional molecular properties\n        self.tm = tm\n        self.box = self.get_box()\n        self.volume = self.box.volume\n        self.get_symbols()\n        self.get_radius()\n        self.tols_matrix = self.get_tols_matrix()\n        xyz = self.mol.cart_coords\n        self.reset_positions(xyz - self.get_center(xyz))\n        if self.smile is not None and self.smile not in single_smiles:\n            # print(self.smile)\n            ori, _, self.reflect = self.get_orientation(xyz)\n\n    def __str__(self):\n        return \"[\" + self.name + \"]\"\n\n    def save_str(self):\n        \"\"\"\n        save the object as a dictionary\n        \"\"\"\n        return self.mol.to(fmt=\"xyz\")\n\n    @classmethod\n    def load_str(cls, string):\n        \"\"\"\n        load the molecule from a dictionary\n        \"\"\"\n        mol = Molecule.from_str(string, fmt=\"xyz\")\n        return cls(mol)\n\n    def copy(self):\n        \"\"\"\n        simply copy the structure\n        \"\"\"\n        return deepcopy(self)\n\n    def swap_axis(self, ax):\n        \"\"\"\n        swap the molecular axis\n        \"\"\"\n        coords = self.mol.cart_coords[:, ax]\n        mo = Molecule(self.symbols, coords)\n\n        return pyxtal_molecule(mo, self.tm)\n\n    def get_box(self, padding=None):\n        \"\"\"\n        Given a molecule, find a minimum orthorhombic box containing it.\n        Size is calculated using min and max x, y, and z values,\n        plus the padding defined by the vdw radius\n        For best results, call oriented_molecule first.\n\n        Args:\n            padding: float (default is 3.4 according to the vdw radius of C)\n\n        Returns:\n            box: a Box object\n        \"\"\"\n        mol, P = reoriented_molecule(self.mol)\n        xyz = mol.cart_coords\n        dims = [0, 0, 0]\n        for i in range(3):\n            dims[i] = np.max(xyz[:, i]) - np.min(xyz[:, i])\n            if padding is not None:\n                dims[i] += padding\n                dims[i] = max([dims[i], 2.0])  # for planar molecules\n            else:\n                ids = np.argsort(xyz[:, i])\n                r = Element(mol[ids[0]].species_string).vdw_radius\n                r += Element(mol[ids[-1]].species_string).vdw_radius\n                dims[i] = max([dims[i] + r, 3.4])  # for planar molecules\n        return Box(dims)\n\n    def get_lengths(self):\n        if not hasattr(self, \"box\"):\n            self.box = self.get_box()\n        return self.box.width, self.box.height, self.box.length\n\n    def get_max_length(self):\n        w, h, l = self.get_lengths()\n        return max([w, h, l])\n\n    def get_box_coordinates(self, xyz, padding=0, resolution=1.0):\n        \"\"\"\n        Create points cloud to describe the molecular box.\n\n        Args:\n            xyz (ndarray): Coordinates of the molecule\n            padding (float, optional): Padding distance around the box. Default is 0.\n            resolution (float): Grid resolution in angstroms. Default is 1.0.\n\n        Returns:\n            tuple:\n            - cell (ndarray): Box axis vectors\n            - vertices (ndarray): [N,3] array of box vertices in Cartesian coordinates\n            - center (ndarray): Box center coordinates\n        \"\"\"\n        cell = self.get_principle_axes(xyz).T\n        center = self.get_center(xyz)  # , geometry=True)\n        box = self.get_box(padding)\n        # print(box)\n        w, h, l = box.width, box.height, box.length\n        cell[0, :] *= l\n        cell[1, :] *= w\n        cell[2, :] *= h\n        x_ = np.linspace(-1 / 2, 1 / 2, int(l / resolution) + 1)\n        y_ = np.linspace(-1 / 2, 1 / 2, int(w / resolution) + 1)\n        z_ = np.linspace(-1 / 2, 1 / 2, int(h / resolution) + 1)\n\n        # XY\n        # print(len(x_), len(y_), len(z_))\n        x, y = np.meshgrid(x_, y_, indexing=\"ij\")\n        size = len(x.flatten())\n        xy = np.zeros([size * 2, 3])\n        xy[:size, 0] = x.flatten()\n        xy[size:, 0] = x.flatten()\n        xy[:size, 1] = y.flatten()\n        xy[size:, 1] = y.flatten()\n        xy[:size, 2] = -0.5\n        xy[size:, 2] = 0.5\n        # print(xy.shape)\n        # print(xy)\n\n        y, z = np.meshgrid(y_, z_, indexing=\"ij\")\n        size = len(y.flatten())\n        yz = np.zeros([size * 2, 3])\n        yz[:size, 1] = y.flatten()\n        yz[size:, 1] = y.flatten()\n        yz[:size, 2] = z.flatten()\n        yz[size:, 2] = z.flatten()\n        yz[:size, 0] = -0.5\n        yz[size:, 0] = 0.5\n\n        x, z = np.meshgrid(x_, z_, indexing=\"ij\")\n        size = len(z.flatten())\n        xz = np.zeros([size * 2, 3])\n        xz[:size, 0] = x.flatten()\n        xz[size:, 0] = x.flatten()\n        xz[:size, 2] = z.flatten()\n        xz[size:, 2] = z.flatten()\n        xz[:size, 1] = -0.5\n        xz[size:, 1] = 0.5\n\n        vertices = np.zeros([len(xy) + len(yz) + len(xz), 3])\n        vertices[: len(xy), :] = xy\n        vertices[len(xy) : len(xy) + len(yz), :] = yz\n        vertices[len(xy) + len(yz) :, :] = xz\n        vertices = vertices.dot(cell)\n        vertices += center\n\n        return cell, vertices, center\n\n    def get_radius(self):\n        \"\"\"\n        get the radius of a molecule\n        \"\"\"\n        r_max = 0\n        for coord, number in zip(self.mol.cart_coords, self.mol.atomic_numbers):\n            radius = np.linalg.norm(coord) + 0.5 * self.tm.get_tol(number, number)\n            if radius > r_max:\n                r_max = radius\n        self.radius = r_max\n        # reestimate the radius if it has stick shape\n        rmax = max([self.box.width, self.box.height, self.box.length])\n        rmin = min([self.box.width, self.box.height, self.box.length])\n        if rmax / rmin > 3 and rmax > 12:\n            self.radius = rmin\n\n    def get_symbols(self):\n        self.symbols = [specie.name for specie in self.mol.species]\n\n    def get_tols_matrix(self, mol2=None, tm=None):\n        \"\"\"\n        Compute the 2D tolerance matrix between the current and other molecules\n\n        Args:\n            mol2: the 2nd pyxtal_molecule object\n            tm: tolerance class\n\n        Returns:\n            a 2D matrix which is used internally for distance checking.\n        \"\"\"\n        if tm is None:\n            tm = self.tm\n\n        numbers1 = self.mol.atomic_numbers\n        numbers2 = self.mol.atomic_numbers if mol2 is None else mol2.mol.atomic_numbers\n\n        tols = np.zeros((len(numbers1), len(numbers2)))\n        for i1, number1 in enumerate(numbers1):\n            for i2, number2 in enumerate(numbers2):\n                tols[i1, i2] = tm.get_tol(number1, number2)\n                # allow hydrogen bond\n                if [number1, number2] in [\n                    [1, 7],\n                    [1, 8],\n                    [1, 9],\n                    [7, 1],\n                    [8, 1],\n                    [9, 1],\n                ]:\n                    tols[i1, i2] *= 0.9\n\n        if len(self.mol) == 1:\n            tols *= 0.8  # if only one atom, reduce the tolerance\n        return tols\n\n    def set_labels(self):\n        \"\"\"\n        Set atom labels for the given molecule for H-bond caculation.\n        Needs to identify the following:\n            - (O)N-H\n            - acid-O\n            - amide-O\n            - alcohol-O\n            - N with NH2\n            - N with NH\n        \"\"\"\n\n        def search_H(pairs, ref, pos_H):\n            \"\"\"\n            Quick routine to search for the id of H that is bonded to N/O:\n\n            Args:\n                pairs: list of atomic pairs\n                ref: reference id for O or N\n                pos_H: the starting position for H\n            \"\"\"\n            res = []\n            for p in pairs:\n                if ref in p and max(p) >= pos_H:\n                    res.append(max(p))\n            return res\n\n        if len(self.mol) > 1:\n            from rdkit import Chem\n\n            # template\n            acid1 = Chem.MolFromSmarts(\"[C,c]C(=O)O\")  # COOH\n            acid2 = Chem.MolFromSmarts(\"[CH](=O)O\")  # COOH\n            amide1 = Chem.MolFromSmarts(\"[C,c]C(=O)N\")  # CONH\n            amide2 = Chem.MolFromSmarts(\"[CH](=O)N\")  # CONH\n            alcohol = Chem.MolFromSmarts(\"[c,CX3][OH]\")  # ROH\n            # alcohol2 = Chem.MolFromSmarts('c[OH]')  #ROH\n            Chem.MolFromSmarts(\"c\")  # Aromatic\n            NH1 = Chem.MolFromSmarts(\"[NH1]\")  # NH1\n            NH2 = Chem.MolFromSmarts(\"[NH2]\")  # NH2\n\n            # Initialize mol\n            m = Chem.MolFromSmiles(self.smile)\n            pos_H = m.GetNumAtoms()  # starting position for H\n            m = Chem.AddHs(m)\n            labels = [a.GetSymbol() for a in m.GetAtoms()]\n\n            # Create bonds\n            bonds = m.GetBonds()\n            pairs = np.zeros([len(bonds), 2], dtype=int)\n            for i, bond in enumerate(bonds):\n                pairs[i, 0] = bond.GetBeginAtomIdx()\n                pairs[i, 1] = bond.GetEndAtomIdx()\n\n            # Assign aromatic\n            # ds = m.GetSubstructMatches(aromatic_carbon)\n            # for d in ds: labels[d[0]] += '_aromatic'\n\n            # Assign O\n            N_O = labels.count(\"O\")\n            if N_O > 0:\n                count_O = 0\n                for i, smart in enumerate([acid1, acid2, amide1, amide2, alcohol]):\n                    ds = m.GetSubstructMatches(smart)\n                    # print(i, ds)\n                    for d in ds:\n                        if i in [0, 1]:  # COOH or COO in general\n                            if i == 0:\n                                labels[d[2]] += \"_acid\"\n                                id = 3\n                                # labels[d[3]] += '_acid'\n                            else:\n                                id = 2\n                                labels[d[1]] += \"_acid\"\n\n                            Hs = search_H(pairs, d[id], pos_H)\n                            if len(Hs) > 0:\n                                labels[Hs[0]] += \"_O\"\n                            count_O += 2\n\n                        elif i in [2, 3]:  # CONH\n                            id = 3 if i == 2 else 2\n                            labels[d[id - 1]] += \"_amide\"\n                            count_O += 1\n\n                        else:  # OH\n                            labels[d[-1]] += \"_alcohol\"\n                            labels[search_H(pairs, d[-1], pos_H)[0]] += \"_O\"\n                            count_O += 1\n                    if count_O == N_O:\n                        # print(i, count_O, 'break')\n                        break\n\n            # Assign N\n            N_N = labels.count(\"N\")\n            if N_N > 0:\n                count_N = 0\n                for i, smart in enumerate([NH1, NH2]):\n                    ds = m.GetSubstructMatches(smart)\n                    for d in ds:\n                        if i == 0:\n                            labels[d[0]] += \"_H1\"  # N_H2\n                            labels[search_H(pairs, d[0], pos_H)[0]] += \"_N\"\n                        else:\n                            labels[d[0]] += \"_H2\"  # N_H2\n                            Hs = search_H(pairs, d[0], pos_H)\n                            labels[Hs[0]] += \"_N\"\n                            labels[Hs[1]] += \"_N\"\n                        count_N += 1\n                    if count_N == N_N:\n                        break\n        else:\n            labels = self.symbols\n            print(labels)\n        self.labels = labels\n\n    def get_coefs_matrix(self, mol2=None, ignore_error=True):\n        \"\"\"\n        Get the Atom-Atom potential parameters between two molecules.\n\n        Calculates coefficients A, B, C for the potential energy equation:\n\n            E = A*exp(-B*R) - C*R^(-6)\n\n        Parameters are from Gavezotti, Acc. Chem. Res., 27, 1994.\n\n        Args:\n            mol2 (pyxtal_molecule, optional): Second molecule to calculate interaction with.\n                If None, uses same molecule.\n            ignore_error (bool): Whether to ignore errors for unsupported atoms.\n                Defaults to True.\n\n        Returns:\n            ndarray: Array of shape (n_atoms1, n_atoms2, 3) containing A, B, C\n            coefficients for each atom pair. These are used to compute the\n            intermolecular energy. Units are Kcal/mol and angstrom.\n        \"\"\"\n        labels1 = self.labels if hasattr(self, \"labels\") else self.symbols\n        numbers1 = self.mol.atomic_numbers\n        if mol2 is None:\n            numbers2 = self.mol.atomic_numbers\n            labels2 = labels1\n        else:\n            numbers2 = mol2.mol.atomic_numbers\n            labels2 = mol2.labels if hasattr(mol2, \"labels\") else mol2.symbols\n\n        coefs = np.zeros([len(numbers1), len(numbers2), 3])\n        for i1, n1 in enumerate(numbers1):\n            for i2, n2 in enumerate(numbers2):\n                if [n1, n2] in [[1, 1]]:  # H-H\n                    coefs[i1, i2, :] = [5774, 4.01, 26.1]\n                elif [n1, n2] in [[1, 6], [6, 1]]:  # H-C\n                    coefs[i1, i2, :] = [28870, 4.10, 113.0]\n                elif [n1, n2] in [[1, 7]]:  # H-N\n                    if len(labels1[i1]) > 1:\n                        if labels1[i1] == \"H_N1\":  # HB-N(-NH-N):\n                            coefs[i1, i2, :] = [7215600, 7.78, 476]\n                        else:  # HB-N(-NH2-N):\n                            coefs[i1, i2, :] = 1803920, 7.37, 165\n                    else:\n                        coefs[i1, i2, :] = [54560, 4.52, 120.0]\n                elif [n1, n2] in [[7, 1]]:  # N-H\n                    if len(labels2[i2]) > 1:\n                        if labels2[i2] == \"H_N1\":  # HB-N(-NH-N):\n                            coefs[i1, i2, :] = [7215600, 7.78, 476]\n                        else:  # HB-N(-NH2-N):\n                            coefs[i1, i2, :] = 1803920, 7.37, 165\n                    else:\n                        coefs[i1, i2, :] = [54560, 4.52, 120.0]\n                elif [n1, n2] in [[1, 8]]:  # H-O\n                    if len(labels1[i1]) > 1:\n                        if labels2[i2] == \"O_amide\":  # HB...O=C-N\n                            coefs[i1, i2, :] = [3607810, 7.78, 238]\n                        elif labels2[i2] == \"O_acid\":  # HB...O=C-OH\n                            coefs[i1, i2, :] = [6313670, 8.75, 205]\n                        elif labels2[i2] == \"O_alcohol\":  # HB...OH\n                            coefs[i1, i2, :] = [4509750, 7.78, 298]\n                        else:\n                            # print(\"Oxygen label problem\", labels2[i2]); import sys; sys.exit()\n                            coefs[i1, i2, :] = [70610, 4.82, 105.0]\n                    else:  # Normal cases:\n                        coefs[i1, i2, :] = [70610, 4.82, 105.0]\n\n                elif [n1, n2] in [[8, 1]]:  # O-H\n                    if len(labels2[i2]) > 1:\n                        if labels1[i1] == \"O_amide\":  # HB...O=C-N\n                            coefs[i1, i2, :] = [3607810, 7.78, 238]\n                        elif labels1[i1] == \"O_acid\":  # HB...O=C-OH\n                            coefs[i1, i2, :] = [6313670, 8.75, 205]\n                        elif labels1[i1] == \"O_alcohol\":  # HB...OH\n                            coefs[i1, i2, :] = [4509750, 7.78, 298]\n                        else:\n                            # print('Oxygen label problem', labels2[i1]); import sys; sys.exit()\n                            coefs[i1, i2, :] = [70610, 4.82, 105.0]\n                    else:  # Normal cases:\n                        coefs[i1, i2, :] = [70610, 4.82, 105.0]\n\n                elif [n1, n2] in [[1, 16], [16, 1]]:  # H-S\n                    coefs[i1, i2, :] = [64190, 4.03, 279.0]\n\n                elif [n1, n2] in [[1, 17], [17, 1]]:  # H-Cl\n                    coefs[i1, i2, :] = [70020, 4.09, 279.0]\n\n                elif [n1, n2] in [[6, 6]]:  # C-C\n                    coefs[i1, i2, :] = [54050, 3.47, 578.0]\n\n                elif [n1, n2] in [[6, 7], [7, 6]]:  # C-N\n                    coefs[i1, i2, :] = [117470, 3.86, 667.0]\n\n                elif [n1, n2] in [[6, 8], [8, 6]]:  # C-O\n                    coefs[i1, i2, :] = [93950, 3.74, 641.0]\n\n                elif [n1, n2] in [[6, 16], [16, 6]]:  # C-S\n                    coefs[i1, i2, :] = [126460, 3.41, 1504.0]\n\n                elif [n1, n2] in [[6, 17], [17, 6]]:  # C-Cl\n                    coefs[i1, i2, :] = [93370, 3.52, 923.0]\n\n                elif [n1, n2] in [[7, 7]]:  # N-N\n                    coefs[i1, i2, :] = [87300, 3.65, 691.0]\n\n                elif [n1, n2] in [[7, 8], [8, 7]]:  # N-O\n                    coefs[i1, i2, :] = [64190, 3.86, 364.0]\n\n                elif [n1, n2] in [[7, 16], [16, 7], [7, 17], [17, 7]]:  # N-S/Cl\n                    coefs[i1, i2, :] = [0, 3.65, 0]\n\n                elif [n1, n2] in [[8, 8]]:  # O-O\n                    if False:  # labels1[i1] == 'O_alcohol' and labels2[i2] == 'O_alcohol':\n                        coefs[i1, i2, :] = [3607800, 5.00, 3372.0]\n                    else:\n                        coefs[i1, i2, :] = [46680, 3.74, 319.0]\n\n                elif [n1, n2] in [[8, 16], [16, 8]]:  # O-S\n                    coefs[i1, i2, :] = [110160, 3.63, 906.0]\n\n                elif [n1, n2] in [[8, 17], [17, 8]]:  # O-Cl\n                    coefs[i1, i2, :] = [80855, 3.63, 665.0]\n\n                elif [n1, n2] in [[16, 16]]:  # S-S\n                    coefs[i1, i2, :] = [259960, 3.52, 2571]\n\n                elif [n1, n2] in [[16, 17], [17, 16]]:  # S-Cl\n                    coefs[i1, i2, :] = [1800000, 3.52, 2000]  # made\n\n                elif [n1, n2] in [[17, 17]]:  # Cl-Cl\n                    coefs[i1, i2, :] = [140050, 3.52, 1385]\n                else:\n                    if ignore_error:\n                        coefs[i1, i2, :] = [0.0, 0.0, 0.0]\n                    else:\n                        msg = f\"atom type is not supported: {n1:d} {n2:d}\"\n                        raise AtomTypeError(msg)\n                        # return None\n        return coefs\n\n    def show(self):\n        \"\"\"\n        show the molecule\n        \"\"\"\n        from pyxtal.viz import display_molecules\n\n        return display_molecules([self.mol])\n\n    def show_box(self):\n        \"\"\"\n        Show the molecule.\n        \"\"\"\n        from pyxtal.viz import display_molecules\n\n        return display_molecules(self.mol)\n\n    def rdkit_mol(self, N_confs=1):\n        \"\"\"\n        Initialize the mol xyz and torsion list\n        \"\"\"\n        from rdkit import Chem\n\n        mol = Chem.MolFromMolBlock(self.rdkit_mb, removeHs=False)\n        if N_confs > 1:\n            conf = mol.GetConformer(0)\n            for _i in range(N_confs - 1):\n                mol.AddConformer(conf, True)\n        return mol\n\n    def rdkit_mol_init(self, smile, fix, torsions):\n        \"\"\"\n        Initialize the mol xyz and torsion list\n\n        Args:\n            smile: smile string\n            fix: whether or not fix the seed\n            torsions: None or list\n        \"\"\"\n        from rdkit import Chem\n        from rdkit.Chem import AllChem\n\n        if smile not in single_smiles:  # [\"Cl-\", \"F-\", \"Br-\", \"I-\", \"Li+\", \"Na+\"]:\n            torsionlist = find_rotor_from_smile(smile)\n            mol = Chem.MolFromSmiles(smile)\n            mol = Chem.AddHs(mol)\n            symbols = []\n            for id in range(mol.GetNumAtoms()):\n                symbols.append(mol.GetAtomWithIdx(id).GetSymbol())\n            if len(smile) > 100:  # a tmp fix for KEKULN10\n                AllChem.EmbedMultipleConfs(mol, numConfs=1, randomSeed=3)\n                cid = 0\n            else:\n                ps = AllChem.ETKDGv3()\n                ps.randomSeed = self.seed\n                AllChem.EmbedMultipleConfs(mol, 1, ps)\n                if mol.GetNumConformers() == 0:\n                    AllChem.EmbedMultipleConfs(mol, 3, ps)\n            if self.use_uff:\n                res = AllChem.UFFOptimizeMoleculeConfs(mol)\n            else:\n                res = AllChem.MMFFOptimizeMoleculeConfs(mol)\n            engs = [c[1] for c in res]\n            cid = engs.index(min(engs))\n            self.rdkit_mb = Chem.MolToMolBlock(mol)\n            self.energy = engs[cid]\n            ref_conf = mol.GetConformer(cid)  # always the reference molecule\n\n            if fix or torsions is not None or len(torsionlist) == 0:\n                conf = ref_conf\n            else:\n                randomSeed = -1 if self.random_state is None else 1\n                AllChem.EmbedMultipleConfs(\n                    mol,\n                    numConfs=max([1, 4 * len(torsionlist)]),\n                    maxAttempts=200,\n                    useRandomCoords=True,\n                    pruneRmsThresh=0.5,\n                    randomSeed=randomSeed,\n                )\n                N_confs = mol.GetNumConformers()\n                conf_id = int(self.random_state.choice(range(N_confs)))\n                conf = mol.GetConformer(conf_id)\n                # xyz = conf.GetPositions()\n                # res = AllChem.MMFFOptimizeMoleculeConfs(mol)\n                # print(\"Eng\", res[conf_id])\n\n            # set tosion angles from random or pre-defined values\n            if torsions is not None:\n                xyz = self.set_torsion_angles(conf, torsions, torsionlist=torsionlist)\n            else:\n                xyz = conf.GetPositions()\n                xyz -= self.get_center(xyz)\n        else:\n            # single atom cation or anions\n            pattern = r\"[A-Za-z]+(?=[+\\-]?[^A-Za-z]|$)\"\n            matches = re.findall(pattern, smile)\n            if matches:\n                symbols = [matches[0]]  # [\"Cl\"]\n            else:\n                raise ValueError(\"the input smiles cannot be analyzed\", smile)\n            xyz = np.zeros([1, 3])\n            torsionlist = []\n        return symbols, xyz, torsionlist\n\n    def perturb_torsion(self, xyz):\n        \"\"\"\n        slightly perturb the torsion\n        \"\"\"\n        angs = self.get_torsion_angles(xyz, self.torsionlist)\n        angs *= 1 + 0.1 * self.random_state.uniform(-1.0, 1.0, len(angs))\n        xyz = self.set_torsion_angles(conf, angs, torsionlist=self.torsionlist)\n        xyz -= self.get_center(xyz)\n        return xyz\n\n    def align(self, conf, reflect=False, torsionlist=None):\n        \"\"\"\n        Align the molecule and return the xyz\n        The default CanonicalizeConformer function may also include inversion\n        \"\"\"\n        from rdkit.Chem import rdMolTransforms as rdmt\n\n        # Rotation\n        if len(self.smile) > 1:\n            trans = rdmt.ComputeCanonicalTransform(conf)\n            if abs(abs(np.linalg.det(trans)) - 1.0) > 1e-1:\n                print(\"Bug in trans\", np.linalg.det(trans))\n                import sys\n\n                sys.exit()\n            elif np.linalg.det(trans[:3, :3]) < 0:\n                trans[:3, :3] *= -1\n\n            # add reflection if needed\n            if reflect:\n                trans[:3, :3] *= -1\n            rdmt.TransformConformer(conf, trans)\n\n        # Translation\n        pt = rdmt.ComputeCentroid(conf)\n        center = np.array([pt.x, pt.y, pt.z])\n        xyz = conf.GetPositions() - center\n\n        # adjust cases like H2O\n        if len(self.smile) == 1:\n            xyz -= np.mean(xyz, axis=0)\n            A = get_inertia_tensor(xyz)\n            P = np.linalg.eigh(A)[1]\n            if np.linalg.det(P) < 0:\n                P[0] *= -1\n            xyz = np.dot(xyz, P)\n        return xyz\n\n    def get_center(self, xyz, geometry=False):\n        \"\"\"\n        get the molecular center for a transformed xyz\n        \"\"\"\n        if geometry or self.smile is None:\n            return np.mean(xyz, axis=0)\n        else:\n            if self.smile in [\n                \"Cl-\",\n                \"F-\",\n                \"Br-\",\n                \"I-\",\n                \"Li+\",\n                \"Na+\",\n                \"[Cl-]\",\n                \"[F-]\",\n                \"[Br-]\",\n                \"[I-]\",\n                \"[Li+]\",\n                \"[Na+]\",\n            ]:\n                return xyz[0]\n            else:\n                if len(self.smile) == 1:\n                    # return xyz[0]\n                    return np.mean(xyz, axis=0)\n                else:\n                    # from rdkit\n                    from rdkit.Chem import rdMolTransforms as rdmt\n                    from rdkit.Geometry import Point3D\n\n                    conf = self.rdkit_mol().GetConformer(0)\n                    for i in range(len(xyz)):\n                        x, y, z = xyz[i]\n                        conf.SetAtomPosition(i, Point3D(x, y, z))\n                    pt = rdmt.ComputeCentroid(conf)\n\n                    return np.array([pt.x, pt.y, pt.z])\n\n    def get_principle_axes(self, xyz, rdmt=True):\n        \"\"\"\n        Get the principle axis for a rotated xyz, sorted by the moments.\n        \"\"\"\n        if self.smile is None or len(self.smile) == 1 or not rdmt:\n            Inertia = get_inertia_tensor(xyz)\n            _, matrix = np.linalg.eigh(Inertia)\n            return matrix\n        else:\n            from rdkit.Chem import rdMolTransforms as rdmt\n            from rdkit.Geometry import Point3D\n\n            conf1 = self.rdkit_mol().GetConformer(0)\n            for i in range(len(self.mol)):\n                x, y, z = xyz[i]\n                conf1.SetAtomPosition(i, Point3D(x, y, z))\n\n            return rdmt.ComputePrincipalAxesAndMoments(conf1)[0]\n\n    def get_torsion_angles(self, xyz=None, torsionlist=None):\n        \"\"\"\n        Get the torsion angles for the molecule.\n\n        Args:\n            xyz (ndarray, optional): Coordinates to compute angles for.\n                If None, uses current molecular coordinates.\n            torsionlist (list, optional): List of torsion definitions.\n                If None, uses molecule's torsionlist.\n\n        Returns:\n            list: List of torsion angles in degrees.\n            Returns empty list if no torsions defined.\n        \"\"\"\n        if xyz is None:\n            xyz = self.mol.cart_coords\n        if torsionlist is None:\n            torsionlist = self.torsionlist\n\n        angs = []\n        if len(torsionlist) > 0:\n\n            from rdkit.Chem import rdMolTransforms as rdmt\n            from rdkit.Geometry import Point3D\n\n            conf = self.rdkit_mol().GetConformer(0)\n            for i in range(len(xyz)):\n                x, y, z = xyz[i]\n                conf.SetAtomPosition(i, Point3D(x, y, z))\n\n            for torsion in torsionlist:\n                (i, j, k, l) = torsion\n                angs.append(rdmt.GetDihedralDeg(conf, i, j, k, l))\n        return angs\n\n    def set_torsion_angles(self, conf, angles, reflect=False, torsionlist=None):\n        \"\"\"\n        Reset the torsion angles and update molecular xyz\n        \"\"\"\n        from rdkit.Chem import rdMolTransforms as rdmt\n\n        if torsionlist is None:\n            torsionlist = self.torsionlist\n        for id, torsion in enumerate(torsionlist):\n            (i, j, k, l) = torsion\n            rdmt.SetDihedralDeg(conf, i, j, k, l, angles[id])\n\n        return self.align(conf, reflect)\n\n    def relax(self, xyz, align=False):\n        \"\"\"\n        Relax the input xyz coordinates with rdit MMFF\n\n        Args:\n            xyz: 3D coordinates\n            align: whether or not align the xyz\n\n        Returns:\n            xyz: new xyz\n            eng: energy value\n        \"\"\"\n\n        from rdkit.Chem import AllChem\n        from rdkit.Geometry import Point3D\n\n        mol = self.rdkit_mol(1)\n        conf0 = mol.GetConformer(0)\n        # reset the xyz\n        for i in range(len(self.mol)):\n            x, y, z = xyz[i]\n            conf0.SetAtomPosition(i, Point3D(x, y, z))\n        if self.use_uff:\n            res = AllChem.UFFOptimizeMoleculeConfs(mol)\n        else:\n            res = AllChem.MMFFOptimizeMoleculeConfs(mol)\n        xyz = self.align(conf0) if align else mol.GetConformer(0).GetPositions()\n        return xyz, res[0][1]\n\n    def get_rmsd2(self, xyz0, xyz1):\n        \"\"\"\n        Compute the rmsd with another 3D xyz coordinates.\n\n        Args:\n            xyz0 (ndarray): First set of atomic coordinates\n            xyz1 (ndarray): Second set of atomic coordinates\n\n        Returns:\n            tuple:\n            - rmsd (float): Root mean square deviation between the coordinates\n            - trans (ndarray): 4x4 transformation matrix that maps xyz0 onto xyz1\n        \"\"\"\n\n        from rdkit.Chem import RemoveHs, rdMolAlign\n        from rdkit.Geometry import Point3D\n\n        mol = self.rdkit_mol(3)\n        conf0 = mol.GetConformer(0)\n        conf1 = mol.GetConformer(1)\n        for i in range(len(self.mol)):\n            x0, y0, z0 = xyz0[i]\n            x1, y1, z1 = xyz1[i]\n            conf0.SetAtomPosition(i, Point3D(x0, y0, z0))\n            conf1.SetAtomPosition(i, Point3D(x1, y1, z1))\n\n        mol = RemoveHs(mol)\n        rmsd, trans = rdMolAlign.GetAlignmentTransform(mol, mol, 1, 0)\n\n        return rmsd, trans\n\n    def get_rmsd(self, xyz, debug=False):\n        \"\"\"\n        Compute the rmsd with another 3D xyz coordinates\n\n        Args:\n            xyz: 3D coordinates\n\n        Returns:\n            rmsd (float): rmsd values\n            transition matrix: 4*4 matrix\n            match: True or False\n        \"\"\"\n\n        from rdkit.Chem import RemoveHs, rdMolAlign\n        from rdkit.Geometry import Point3D\n\n        mol = self.rdkit_mol(3)\n        # 3 conformers for comparison\n        conf0 = mol.GetConformer(0)\n        conf1 = mol.GetConformer(1)  # reference+reflection\n        conf2 = mol.GetConformer(2)  # trial xyz\n        angs = self.get_torsion_angles(xyz)\n        xyz0 = self.set_torsion_angles(conf0, angs)  # conf0 with aligned\n        xyz1 = self.set_torsion_angles(conf0, angs, True)  # conf0 with aligned+reflect\n        # print('xyz0', xyz0)\n        # reset the xyz\n        for i in range(len(self.mol)):\n            x0, y0, z0 = xyz0[i]\n            x1, y1, z1 = xyz1[i]\n            x, y, z = xyz[i]\n            conf0.SetAtomPosition(i, Point3D(x0, y0, z0))\n            conf1.SetAtomPosition(i, Point3D(x1, y1, z1))\n            conf2.SetAtomPosition(i, Point3D(x, y, z))\n\n        mol = RemoveHs(mol)\n        rmsd1, trans1 = rdMolAlign.GetAlignmentTransform(mol, mol, 2, 0)\n        rmsd2, trans2 = rdMolAlign.GetAlignmentTransform(mol, mol, 2, 1)\n\n        if debug:\n            from rdkit.Chem import rdmolfiles\n\n            rdmolfiles.MolToXYZFile(mol, \"1.xyz\", 0)\n            rdmolfiles.MolToXYZFile(mol, \"2.xyz\", 1)\n            rdmolfiles.MolToXYZFile(mol, \"3.xyz\", 2)\n            print(rmsd1, rmsd2)\n        if rmsd1 <= rmsd2:\n            # return rmsd1, trans1, True\n            return rmsd1, trans1, False\n        else:\n            # return rmsd2, trans2, False\n            return rmsd2, trans2, True\n\n    def get_orientation(self, xyz, rtol=0.15):\n        \"\"\"\n        Get the orientation for the given xyz coordinates.\n\n        Args:\n            xyz (ndarray): Molecular coordinates\n            rtol (float, optional): Relative tolerance. Defaults to 0.15.\n\n        Returns:\n            tuple:\n            - array: Euler angles in degrees [alpha, beta, gamma]\n            - float: RMSD from reference orientation\n            - bool: Whether reflection was applied\n        \"\"\"\n\n        xyz -= self.get_center(xyz)\n\n        if self.smile is not None and len(self.smile) > 1:  # not in [\"O\", \"o\"]:\n            rmsd, trans, reflect = self.get_rmsd(xyz)\n            tol = rtol * len(xyz)\n\n            if rmsd < tol:\n                trans = trans[:3, :3].T\n                r = Rotation.from_matrix(trans)\n                return r.as_euler(\"zxy\", degrees=True), rmsd, reflect\n            else:\n                msg = \"Problem in conformer\\n\"\n                msg += f\"{rmsd1:5.2f} {rmsd2:5.2f}\\n\"\n                if len(self.torsionlist) > 0:\n                    msg += str(self.get_torsion_angles(xyz)) + \"\\n\"\n                    msg += str(self.get_torsion_angles(xyz0)) + \"\\n\"\n                    msg += str(self.get_torsion_angles(xyz1)) + \"\\n\"\n                raise ConformerError(msg)\n        else:\n            # the orientation of CH4, NH3, H2O\n            ref = np.array(\n                [\n                    [-0.00111384, 0.36313718, 0.0],\n                    [-0.82498189, -0.18196256, 0.0],\n                    [0.82609573, -0.18117463, 0.0],\n                ]\n            )\n            Inertia = get_inertia_tensor(xyz)\n            _, matrix = np.linalg.eigh(Inertia)\n\n            np.dot(xyz, matrix)\n            # identify the rotation matrix\n            libs = np.array(\n                [\n                    [[1, 1, 1]],\n                    [[-1, 1, 1]],\n                    [[1, -1, 1]],\n                    [[1, 1, -1]],\n                    [[-1, -1, 1]],\n                    [[1, -1, -1]],\n                    [[-1, 1, -1]],\n                    [[-1, -1, -1]],\n                ]\n            )\n            dists = np.zeros(8)\n            for i, lib in enumerate(libs):\n                matrix0 = matrix * np.repeat(lib, 3, axis=0)\n                res = np.dot(ref, np.linalg.inv(matrix0))\n                dists[i] = np.sum((res - xyz[:len(ref)]) ** 2)\n                # print(i, res)\n            id = np.argmin(dists)\n            matrix = matrix * np.repeat(libs[id], 3, axis=0)\n\n            r = Rotation.from_matrix(np.linalg.inv(matrix).T)\n            ang = r.as_euler(\"zxy\", degrees=True)\n            return ang, 0, False\n\n    def to_ase(self):\n        \"\"\"\n        Convert to ase atoms\n        \"\"\"\n        return self.mol.to_ase_atoms()\n\n    def reset_positions(self, coors):\n        \"\"\"\n        reset the coordinates\n        \"\"\"\n        from pymatgen.core.sites import Site\n\n        if len(coors) != len(self.mol._sites):\n            raise ValueError(\"number of atoms is inconsistent!\")\n        else:\n            for i, coor in enumerate(coors):\n                _site = self.mol._sites[i]\n                new_site = Site(_site.species, coor, properties=_site.properties)\n                self.mol._sites[i] = new_site\n\n    def apply_inversion(self):\n        \"\"\"\n        reset the coordinates\n        \"\"\"\n\n        xyz = self.mol.cart_coords\n        center = self.get_center(xyz)\n        xyz -= center\n        xyz *= -1\n        self.reset_positions(xyz)\n\n    def get_symmetry(self, xyz=None, symmetrize=False, rtol=0.30):\n        \"\"\"\n        Set the molecule's point symmetry.\n\n        Sets the following attributes:\n            - pga: Point group analyzer from pymatgen\n            - pg: Point group from pyxtal\n            - symops: List of symmetry operations\n\n        Args:\n            xyz (ndarray, optional): Coordinates to analyze. Defaults to current coordinates.\n            symmetrize (bool, optional): Whether to symmetrize coordinates. Defaults to False.\n            rtol (float, optional): Symmetry tolerance. Defaults to 0.30.\n        \"\"\"\n        mol = deepcopy(self.mol) if xyz is None else Molecule(self.symbols, xyz)\n\n        if self.smile is not None:\n            mol.remove_species(\"H\")\n            mol._spin_multiplicity = None  # don't check spin\n\n        if symmetrize:\n            pga = PointGroupAnalyzer(mol, rtol, eigen_tolerance=1e-3)\n            mol = pga.symmetrize_molecule()[\"sym_mol\"]\n        pga = PointGroupAnalyzer(mol, rtol, eigen_tolerance=1e-3)\n        self.mol_no_h = mol\n\n        # print(mol.to(fmt='xyz'), pga.sch_symbol)\n        # For single atoms, no point group using a list of operations\n        if len(mol) == 1:\n            symm_m = []\n            symbol = \"C1\"\n        else:\n            symbol = pga.sch_symbol\n            pg = pga.get_pointgroup()\n            symm_m = list(pg)\n\n            if \"*\" in symbol:  # linear molecules\n                symbol = symbol.replace(\"*\", \"6\")\n                # Add 12-fold  and reflections in place of ininitesimal rotation\n                for i, axis in enumerate(np.array([[1, 0, 0], [0, 1, 0], [0, 0, 1]])):\n                    # op = SymmOp.from_rotation_and_translation(aa2matrix(axis, np.pi/6), [0,0,0])\n                    m1 = Rotation.from_rotvec(np.pi / 6 * axis).as_matrix()\n                    op = SymmOp.from_rotation_and_translation(m1, [0, 0, 0])\n                    if pga.is_valid_op(op):\n                        symm_m.append(op)\n                        # Any molecule with infinitesimal symmetry is linear;\n                        # Thus, it possess mirror symmetry for any axis perpendicular\n                        # To the rotational axis. pymatgen does not add this symmetry\n                        # for all linear molecules - for example, hydrogen\n                        if i == 0:\n                            symm_m.append(SymmOp.from_xyz_str(\"x,-y,z\"))\n                            symm_m.append(SymmOp.from_xyz_str(\"x,y,-z\"))\n                            # r = SymmOp.from_xyz_str(\"-x,y,-z\")\n                        elif i == 1:\n                            symm_m.append(SymmOp.from_xyz_str(\"-x,y,z\"))\n                            symm_m.append(SymmOp.from_xyz_str(\"x,y,-z\"))\n                            # r = SymmOp.from_xyz_str(\"-x,-y,z\")\n                        elif i == 2:\n                            symm_m.append(SymmOp.from_xyz_str(\"-x,y,z\"))\n                            symm_m.append(SymmOp.from_xyz_str(\"x,-y,z\"))\n                            # r = SymmOp.from_xyz_str(\"x,-y,-z\")\n                        # Generate a full list of SymmOps for the pointgroup\n                        symm_m = generate_full_symmops(symm_m, 1e-3)\n                        break\n        self.symops = symm_m\n        self.pga = pga\n        if symbol == \"S2\":\n            symbol = \"Ci\"\n        self.pg = Group(symbol, dim=0)\n\n    def get_orientations_in_wps(self, wps=None, rtol=1e-2):\n        \"\"\"\n        Compute the valid orientations from a given Wyckoff site symmetry.\n\n        Args:\n            wp: a pyxtal.symmetry.Wyckoff_position object\n        Returns:\n            a list of operations.Orientation objects\n        \"\"\"\n        if wps is None:\n            return None, True\n        else:\n            valid = False\n            valid_oris = []\n            for wp in wps:\n                allowed = self.get_orientations_in_wp(wp, rtol)\n                if len(allowed) > 0:\n                    valid = True\n                valid_oris.append(allowed)\n            return valid_oris, valid\n\n    def get_orientations_in_wp(self, wp, rtol=1e-2):\n        \"\"\"\n        Compute the valid orientations from a given Wyckoff site symmetry.\n\n        Args:\n            wp: a pyxtal.symmetry.Wyckoff_position object\n        Returns:\n            a list of pyxtal.molecule.Orientation objects\n        \"\"\"\n        # For single atoms, there are no constraints\n        if len(self.mol) == 1 or wp.index == 0:\n            return [Orientation([[1, 0, 0], [0, 1, 0], [0, 0, 1]], degrees=2, random_state=self.random_state)]\n        # C1 molecule cannot take specical position\n        elif wp.index > 1 and self.pga.sch_symbol == \"C1\":\n            return []\n\n        symm_w = wp.get_site_symm_wo_translation()  # symmetry without translation\n        # molecule has fewer symops\n        if len(self.pg[0]) < len(symm_w):\n            return []\n\n        symm_m = self.symops\n        opa_m = []\n        for op_m in symm_m:\n            opa = OperationAnalyzer(op_m)\n            opa_m.append(opa)\n\n        # Store OperationAnalyzer objects for each Wyckoff symmetry SymmOp\n        opa_w = []\n        for op_w in symm_w:\n            opa_w.append(OperationAnalyzer(op_w))\n\n        \"\"\"\n        Check for constraints from the Wyckoff symmetry. If we find ANY two\n        constraints (SymmOps with unique axes), the molecule's point group MUST\n        contain SymmOps which can be aligned to these particular constraints.\n        However, there may be multiple compatible orientations of the molecule\n        consistent with these constraints\n        \"\"\"\n        constraint1 = None\n        constraint2 = None\n        for i, op_w in enumerate(symm_w):\n            if opa_w[i].axis is not None:\n                constraint1 = opa_w[i]\n                for j, op_w in enumerate(symm_w):\n                    if opa_w[j].axis is not None:\n                        dot = np.dot(opa_w[i].axis, opa_w[j].axis)\n                        if (not np.isclose(dot, 1, rtol=rtol)) and (not np.isclose(dot, -1, rtol=rtol)):\n                            constraint2 = opa_w[j]\n                            break\n                break\n        # Indirectly store the angle between the constraint axes\n        if constraint1 is not None and constraint2 is not None:\n            dot_w = np.dot(constraint1.axis, constraint2.axis)\n        # Generate 1st consistent molecular constraints\n        constraints_m = []\n        if constraint1 is not None:\n            for i, opa1 in enumerate(opa_m):\n                if opa1.is_conjugate(constraint1):\n                    constraints_m.append([opa1, []])\n                    # Generate 2nd constraint in opposite direction\n                    extra = deepcopy(opa1)\n                    extra.axis = [\n                        opa1.axis[0] * -1,\n                        opa1.axis[1] * -1,\n                        opa1.axis[2] * -1,\n                    ]\n                    constraints_m.append([extra, []])\n\n        # Remove redundancy for the first constraints\n        list_i = list(range(len(constraints_m)))\n        list_j = list(range(len(constraints_m)))\n        copy = deepcopy(constraints_m)\n        for i, c1 in enumerate(copy):\n            if i in list_i:\n                for j, c2 in enumerate(copy):\n                    if i > j and j in list_j and j in list_i:\n                        # Check if axes are colinear\n                        if np.isclose(np.dot(c1[0].axis, c2[0].axis), 1, rtol=rtol):\n                            list_i.remove(j)\n                            list_j.remove(j)\n                        # Check if axes are symmetrically equivalent\n                        else:\n                            cond1 = False\n                            # cond2 = False\n                            for opa in opa_m:\n                                if opa.type == \"rotation\":\n                                    op = opa.op\n                                    if np.isclose(\n                                        np.dot(op.operate(c1[0].axis), c2[0].axis),\n                                        1,\n                                        rtol=5 * rtol,\n                                    ):\n                                        cond1 = True\n                                        break\n                            if cond1:  # or cond2 is True:\n                                list_i.remove(j)\n                                list_j.remove(j)\n        c_m = deepcopy(constraints_m)\n        constraints_m = []\n        for i in list_i:\n            constraints_m.append(c_m[i])\n\n        # Generate 2nd consistent molecular constraints\n        valid = list(range(len(constraints_m)))\n        if constraint2 is not None:\n            for i, c in enumerate(constraints_m):\n                opa1 = c[0]\n                for j, opa2 in enumerate(opa_m):\n                    if opa2.is_conjugate(constraint2):\n                        dot_m = np.dot(opa1.axis, opa2.axis)\n                        # Ensure that the angles are equal\n                        if abs(dot_m - dot_w) < 0.02 or abs(dot_m + dot_w) < 0.02:\n                            constraints_m[i][1].append(opa2)\n                            # Generate 2nd constraint in opposite direction\n                            extra = deepcopy(opa2)\n                            extra.axis = [\n                                opa2.axis[0] * -1,\n                                opa2.axis[1] * -1,\n                                opa2.axis[2] * -1,\n                            ]\n                            constraints_m[i][1].append(extra)\n                # If no consistent constraints are found, remove first constraint\n                if constraints_m[i][1] == []:\n                    valid.remove(i)\n        copy = deepcopy(constraints_m)\n        constraints_m = []\n        for i in valid:\n            constraints_m.append(copy[i])\n\n        # Generate orientations consistent with the possible constraints\n        orientations = []\n        # Loop over molecular constraint sets\n        for c1 in constraints_m:\n            v1 = c1[0].axis\n            v2 = constraint1.axis\n            T = rotate_vector(v1, v2)\n            # If there is only one constraint\n            if c1[1] == []:\n                o = Orientation(T, degrees=1, axis=constraint1.axis, random_state=self.random_state)\n                orientations.append(o)\n            else:\n                # Loop over second molecular constraints\n                for opa in c1[1]:\n                    phi = angle(constraint1.axis, constraint2.axis)\n                    phi2 = angle(constraint1.axis, np.dot(T, opa.axis))\n                    if np.isclose(phi, phi2, rtol=rtol):\n                        r = np.sin(phi)\n                        c = np.linalg.norm(np.dot(T, opa.axis) - constraint2.axis)\n                        theta = np.arccos(1 - (c**2) / (2 * (r**2)))\n                        # R = aa2matrix(constraint1.axis, theta)\n                        R = Rotation.from_rotvec(theta * constraint1.axis).as_matrix()\n                        T2 = np.dot(R, T)\n                        a = angle(np.dot(T2, opa.axis), constraint2.axis)\n                        if not np.isclose(a, 0, rtol=rtol):\n                            T2 = np.dot(np.linalg.inv(R), T)\n                        o = Orientation(T2, degrees=0, random_state=self.random_state)\n                        orientations.append(o)\n\n        # Ensure the identity orientation is checked if no constraints are found\n        if constraints_m == []:\n            o = Orientation(np.identity(3), degrees=2, random_state=self.random_state)\n            orientations.append(o)\n        # Remove redundancy from orientations\n        list_i = list(range(len(orientations)))\n        list_j = list(range(len(orientations)))\n        for i, o1 in enumerate(orientations):\n            if i in list_i:\n                for j, o2 in enumerate(orientations):\n                    if i > j and j in list_j and j in list_i:\n                        # m1 = o1.get_matrix(angle=0)\n                        # m2 = o2.get_matrix(angle=0)\n                        m1 = o1.matrix\n                        m2 = o2.matrix\n                        new_op = SymmOp.from_rotation_and_translation(np.dot(m2, np.linalg.inv(m1)), [0, 0, 0])\n                        P = SymmOp.from_rotation_and_translation(np.linalg.inv(m1), [0, 0, 0])\n                        old_op = P * new_op * P.inverse\n                        if self.pga.is_valid_op(old_op):\n                            list_i.remove(j)\n                            list_j.remove(j)\n        orientations_new = []\n        for i in list_i:\n            orientations_new.append(orientations[i])\n\n        # Check each of the found orientations for consistency with Wyckoff site.\n        # If consistent, put into an array of valid orientations\n        # print(\"======\", orientations_new)\n        allowed = []\n        for o in orientations_new:\n            op = o.get_op()\n            mo = deepcopy(self.mol_no_h)\n            mo.apply_operation(op)\n            # print(mo)\n            if is_compatible_symmetry(mo, wp):\n                allowed.append(o)\n        return allowed\n\n    def get_energy(self, xyz1, xyz2):\n        \"\"\"\n        Get packing energy between two neighboring molecules\n        \"\"\"\n        cdist(xyz1 - xyz2)\n\n\nclass Box:\n    \"\"\"\n    Class for storing the binding box for a molecule.\n\n    Args:\n        dims: [length, width, height]\n    \"\"\"\n\n    def __init__(self, dims):\n        self.length = dims[0]  # float(abs(maxy - miny))\n        self.width = dims[1]  # float(abs(maxx - minx))\n        self.height = dims[2]  # float(abs(maxz - minz))\n        self.volume = self.width * self.length * self.height\n\n    def __str__(self):\n        return f\"l: {self.length:6.2f}, w: {self.width:6.2f}, d: {self.height:6.2f}\"\n\n    def operate(self, rot=np.eye(3), center=np.zeros(3)):\n        \"\"\"\n        Perform operation on the box:\n\n        Args:\n            rot: 3*3 rotation matrix\n            center: center position\n        \"\"\"\n        raise NotImplementedError\n\n\nclass Orientation:\n    \"\"\"\n    Stores orientations for molecules based on vector constraints.\n\n    Can be stored to regenerate orientations consistent with a given constraint\n    vector, without re-calling orientation_in_wyckoff_position. Allows for\n    generating orientations which differ only in their rotation about a given axis.\n\n    Args:\n        matrix (ndarray): A 3x3 rotation matrix describing the orientation\n            (and/or inversion) to store\n        degrees (int): The number of degrees of freedom:\n            - 0: The orientation refers to a single rotation matrix\n            - 1: The orientation can be rotated about a single axis\n            - 2: The orientation can be any pure rotation matrix\n        axis (ndarray, optional): Axis about which the orientation can rotate.\n            Only used if degrees is equal to 1\n        random_state (int or Generator, optional): Random number generator state\n    \"\"\"\n\n    def __init__(self, matrix=None, degrees=2, axis=None, random_state=None):\n        self.matrix = np.array(matrix)\n        self.degrees = degrees\n\n        if isinstance(random_state, Generator):\n            self.random_state = random_state.spawn(1)[0]\n        else:\n            self.random_state = np.random.default_rng(random_state)\n\n        if degrees == 1:\n            if axis is None:\n                raise ValueError(\"axis is required for orientation\")\n\n            axis /= np.linalg.norm(axis)\n        self.axis = axis\n\n        self.r = Rotation.from_matrix(self.matrix)\n        self.angle = None\n\n    def __str__(self):\n        s = \"-------PyXtal.molecule.Orientation class----\\n\"\n        s += f\"degree of freedom: {self.degrees:d}\\n\"\n        s += \"Rotation matrix:\\n\"\n        s += \"{:6.3f} {:6.3f} {:6.3f}\\n\".format(*self.matrix[:, 0])\n        s += \"{:6.3f} {:6.3f} {:6.3f}\\n\".format(*self.matrix[:, 1])\n        s += \"{:6.3f} {:6.3f} {:6.3f}\\n\".format(*self.matrix[:, 2])\n        if self.axis is not None:\n            s += \"Rotation axis\\n\"\n            s += \"{:6.2f} {:6.2f} {:6.3f}\\n\".format(*self.axis)\n        return s\n\n    def reset_matrix(self, matrix):\n        self.matrix = matrix\n        self.r = Rotation.from_matrix(matrix)\n\n    def __repr__(self):\n        return str(self)\n\n    def copy(self):\n        return deepcopy(self)\n\n    def save_dict(self):\n        return {\"matrix\": self.matrix, \"degrees\": self.degrees, \"axis\": self.axis}\n\n    @classmethod\n    def load_dict(cls, dicts):\n        matrix = dicts[\"matrix\"]\n        degrees = dicts[\"degrees\"]\n        axis = dicts[\"axis\"]\n        return cls(matrix, degrees, axis)\n\n    def change_orientation(self, angle=\"random\", flip=False, update=True):\n        \"\"\"\n        Change the orientation of molecule by applying a rotation.\n\n        It allows for specification of an angle (or a random angle) to rotate about\n        the constraint axis. If the system has 2 degrees of rotational freedom,\n        the molecule can also be flipped with a probability\n\n        Args:\n            angle (float or str, optional): The angle to rotate about the constraint axis.\n                                        If \"random\", a random rotation angle is selected\n            flip (bool, optional): Whether to apply an random flip. This is only applied\n                               if the system has 2 degrees of rotational freedom.\n        \"\"\"\n        if self.degrees >= 1:\n            # Choose the axis\n            if self.axis is None:\n                self.set_axis()\n\n            # Parse the angle\n            if angle == \"random\":\n                #angle = (self.random_state.random() - 1) * np.pi * 2\n                angle = (np.random.rand() - 1) * np.pi * 2\n            #self.angle = angle\n\n            # Update the matrix\n            r1 = Rotation.from_rotvec(angle * self.axis)\n\n            # Optionally flip the molecule\n            #if self.degrees == 2 and flip and self.random_state.random() > 0.5:\n            if self.degrees == 2 and flip and np.random.random() > 0.5:\n                ax = self.random_state.choice([\"x\", \"y\", \"z\"])\n                angle0 = self.random_state.choice([90, 180, 270])\n                r2 = Rotation.from_euler(ax, angle0, degrees=True)\n                r1 = r2 * r1\n\n            r = r1 * self.r\n            matrix = r.as_matrix()\n            if update:\n                self.r = r\n                self.matrix = matrix\n            return matrix\n        else:\n            return self.matrix\n\n\n    def set_axis(self):\n        if self.degrees == 2:\n            #axis = self.random_state.random(3) - 0.5\n            axis = np.random.rand(3) - 0.5\n            self.axis = axis / np.linalg.norm(axis)\n            self.angle = 0\n\n    def rotate_by_matrix(self, matrix, ignore_constraint=True):\n        \"\"\"\n        rotate\n\n        Args:\n            matrix: 3*3 rotation matrix\n\n        \"\"\"\n        if not ignore_constraint:\n            if self.degrees == 0:\n                raise ValueError(\"cannot rotate\")\n\n            if self.degrees == 1:\n                axis = self.axis\n                vec = Rotation.from_matrix(matrix).as_rotvec()\n                if angle(vec, self.axis) > 1e-2 and angle(vec, -self.axis) > 1e-2:\n                    raise ValueError(\"must rotate along the given axis\")\n        else:\n            axis = None\n\n        matrix = matrix.dot(self.matrix)\n        return Orientation(matrix, self.degrees, axis, self.random_state)\n\n    def get_matrix(self, angle=\"random\"):\n        \"\"\"\n        Generate a 3x3 rotation matrix consistent with the orientation's\n        constraints. Allows for specification of an angle (possibly random) to\n        rotate about the constraint axis.\n\n        Args:\n            angle: an angle to rotate about the constraint axis. If \"random\",\n                chooses a random rotation angle. If self.degrees==2, chooses a\n                random 3d rotation matrix to multiply by. If the original matrix\n                is wanted, set angle=0, or call self.matrix\n\n        Returns:\n            a 3x3 rotation (and/or inversion) matrix (numpy array)\n        \"\"\"\n        if self.degrees == 2:\n            if angle == \"random\":\n                axis = self.random_state.sample(3)\n                axis = axis / np.linalg.norm(axis)\n                angle = self.random_state.random() * np.pi * 2\n            else:\n                axis = self.axis\n            return Rotation.from_rotvec(angle * axis).as_matrix()\n\n        elif self.degrees == 1:\n            angle = self.random_state.random() * np.pi * 2 if angle == \"random\" else self.angle\n            return Rotation.from_rotvec(angle * self.axis).as_matrix()\n\n        elif self.degrees == 0:\n            return self.matrix\n        return None\n\n    def get_op(self):  # , angle=None):\n        \"\"\"\n        Generate a SymmOp object consistent with the orientation's constraints.\n        Allows for specification of an angle (possibly random) to rotate about\n        the constraint axis.\n\n        Args:\n            angle: an angle to rotate about the constraint axis. If \"random\",\n                chooses a random rotation angle. If self.degrees==2, chooses a\n                random 3d rotation matrix to multiply by. If the original matrix\n                is wanted, set angle=0, or call self.matrix\n\n        Returns:\n            pymatgen.core.structure. SymmOp object\n        \"\"\"\n        # if angle is not None:\n        #    self.change_orientation(angle)\n        return SymmOp.from_rotation_and_translation(self.matrix, [0, 0, 0])\n\n    def random_orientation(self):\n        \"\"\"\n        Applies random rotation (if possible) and returns a new orientation with\n        the new base matrix.\n\n        Returns:\n            a new orientation object with a different base rotation matrix\n        \"\"\"\n\n        self.change_orientation()\n        return self\n\n    def get_Euler_angles(self):\n        \"\"\"\n        get the Euler angles\n        \"\"\"\n        return self.r.as_euler(\"zxy\", degrees=True)\n\n\ndef get_inertia_tensor(coords, weights=None):\n    \"\"\"\n    Calculate the symmetric inertia tensor for a molecule.\n\n    Args:\n        coords: [N, 3] array of coordinates\n\n    Returns:\n        a 3x3 numpy array representing the inertia tensor\n    \"\"\"\n    if weights is None:\n        weights = np.ones(len(coords))\n    coords -= np.mean(coords, axis=0)\n    Inertia = np.zeros([3, 3])\n    Inertia[0, 0] = np.sum(weights * coords[:, 1] ** 2 + weights * coords[:, 2] ** 2)\n    Inertia[1, 1] = np.sum(weights * coords[:, 0] ** 2 + weights * coords[:, 2] ** 2)\n    Inertia[2, 2] = np.sum(weights * coords[:, 0] ** 2 + weights * coords[:, 1] ** 2)\n    Inertia[0, 1] = Inertia[1, 0] = -np.sum(weights * coords[:, 0] * coords[:, 1])\n    Inertia[0, 2] = Inertia[2, 0] = -np.sum(weights * coords[:, 0] * coords[:, 2])\n    Inertia[1, 2] = Inertia[2, 1] = -np.sum(weights * coords[:, 1] * coords[:, 2])\n\n    return Inertia\n\n\ndef reoriented_molecule(mol):\n    \"\"\"\n    Align a molecule so that its principal axes are aligned with the coordinate axes.\n\n    Reorients the molecule by computing its inertia tensor and rotating it such that\n    the principal axes align with the x, y, z coordinate axes.\n\n    Args:\n        mol (Molecule): A pymatgen Molecule object to reorient.\n\n    Returns:\n        tuple:\n            - mol (Molecule): A reoriented copy of the input molecule\n            - P (ndarray): The 3x3 rotation matrix used to align the molecule\n    \"\"\"\n    coords = mol.cart_coords\n    numbers = mol.atomic_numbers\n    coords -= np.mean(coords, axis=0)\n    A = get_inertia_tensor(coords)\n    # Store the eigenvectors of the inertia tensor\n    P = np.linalg.eigh(A)[1]\n    if np.linalg.det(P) < 0:\n        P[:, 0] *= -1\n    coords = np.dot(coords, P)\n    return Molecule(numbers, coords), P\n\n\ndef is_compatible_symmetry(mol, wp):\n    \"\"\"\n    Tests if a molecule meets the symmetry requirements of a Wyckoff position\n\n    Args:\n        mol: a pymatgen Molecule object.\n        wp: a pyxtal.symmetry.Wyckoff_position object\n    \"\"\"\n    # For single atoms, there are no constraints\n    if len(mol) == 1 or wp.index == 0:\n        return True\n    pga = PointGroupAnalyzer(mol)\n    return all(pga.is_valid_op(op) for op in wp.get_site_symm_wo_translation())\n\n\ndef make_graph(mol, tol=0.2, ignore_HH=False):\n    \"\"\"\n    make graph object for the input molecule\n\n    Args:\n        mol: pymatgen Molecule object\n        tol (float): Tolerance for bond length matching\n        ignore_HH (bool): If True, ignore H-H bonds\n\n    Returns:\n        G: a networkx Graph object representing the molecule's connectivity\n    \"\"\"\n    # print(\"making graphs\")\n    G = nx.Graph()\n    names = {}\n    for i, site in enumerate(mol._sites):\n        names[i] = site.specie.value\n        if names[i] not in [\"C\", \"H\", \"O\", \"N\", \"S\", \"P\", \"Si\", \"F\", \"Cl\", \"Br\", \"I\"]:\n            raise ValueError(f\"{names[i]} is not supported\")\n\n    for i in range(len(mol) - 1):\n        site1 = mol.sites[i]\n        for j in range(i + 1, len(mol)):\n            site2 = mol.sites[j]\n            key = f\"{names[i]:s}-{names[j]:s}\"\n            if site1.distance(site2) < bonds[key]:\n                add = True\n                if ignore_HH and (names[i] == \"H\" and names[j] == \"H\"):\n                    add = False\n                if add:\n                    G.add_edge(i, j)\n                # print(key, site1.distance(site2))\n    nx.set_node_attributes(G, names, \"name\")\n\n    return G\n\n\ndef compare_mol_connectivity(mol1, mol2, ignore_name=False, ignore_HH=False):\n    \"\"\"\n    Compare two molecules by connectivity\n\n    Args:\n        mol1: pymatgen Molecule object\n        mol2: pymatgen Molecule object\n        ignore_name (bool): If True, ignore the atom names in the comparison\n        ignore_HH (bool): If True, ignore the H-H bonds in the comparison\n\n    Returns:\n        tuple: (is_isomorphic, mapping)\n            - is_isomorphic (bool): True if the two molecules are isomorphic\n            - mapping (dict): A dictionary mapping nodes from mol1 to mol2\n    \"\"\"\n\n    G1 = make_graph(mol1, ignore_HH=ignore_HH)\n    G2 = make_graph(mol2, ignore_HH=ignore_HH)\n    if ignore_name:\n        GM = nx.isomorphism.GraphMatcher(G1, G2)\n    else:\n        fun = lambda n1, n2: n1[\"name\"] == n2[\"name\"]\n        GM = nx.isomorphism.GraphMatcher(G1, G2, node_match=fun)\n\n    return GM.is_isomorphic(), GM.mapping\n\n\nif __name__ == \"__main__\":\n    smiles = \"CCN1C(=O)c2ccc3C(=O)N(CC)C(=O)c4ccc(C1=O)c2c34\"\n    ans1 = [(0, 1, 2, 20), (13, 12, 11, 14)]\n    print(ans1)\n    ans2 = find_rotor_from_smile(smiles)\n    print(ans2)\n    assert ans1 == ans2\n\n    smiles = \"Nc1c(Cl)cc(cc1N(=O)=O)N(=O)=O\"\n    ans2 = find_rotor_from_smile(smiles)\n    print(ans2)\n    ans1 = [(6, 5, 11, 13), (6, 7, 8, 10)]\n    print(ans1)\n    assert ans1 == ans2\n\n    smiles = \"COc1cc(C=O)ccc1O\"\n    ans2 = find_rotor_from_smile(smiles)\n    print(ans2)\n    ans1 = [(0, 1, 2, 9), (6, 5, 4, 7)]\n    print(ans1)\n    assert ans1 == ans2\n"
  },
  {
    "path": "pyxtal/msg.py",
    "content": "from warnings import warn\n\nfrom pyxtal.constants import pyxtal_verbosity\n\n\ndef printx(text, priority=1):\n    \"\"\"\n    Custom printing function based on verbosity.\n\n    Args:\n        text: string to be passed to print\n        priority: the importance of printing the message\n            0: Critical; must be printed\n            1: Warning; unexpected error but program functioning\n            2: Info; useful but not necessary print out\n            3: Debug; detailed information for debugging\n\n    Returns:\n        Nothing\n    \"\"\"\n    if priority <= 1:\n        warn(text)\n        return\n    else:\n        if priority <= pyxtal_verbosity:\n            print(text)\n\n\nclass Error(Exception):\n    \"\"\"Base class for exceptions in this module.\"\"\"\n\n\nclass ConformerError(Error):\n    \"\"\"Exception raised for errors in the Compabality.\n\n    Attributes:\n        expression -- input expression in which the error occurred\n        message -- explanation of the error\n    \"\"\"\n\n    def __init__(self, message):\n        self.message = message\n\n\nclass Symm_CompatibilityError(Error):\n    \"\"\"Exception raised for errors in the Compabality.\n\n    Attributes:\n        expression -- input expression in which the error occurred\n        message -- explanation of the error\n    \"\"\"\n\n    def __init__(self, message):\n        self.message = message\n\n\nclass Comp_CompatibilityError(Error):\n    \"\"\"Exception raised for errors in the Compabality.\n\n    Attributes:\n        expression -- input expression in which the error occurred\n        message -- explanation of the error\n    \"\"\"\n\n    def __init__(self, message):\n        self.message = message\n\n\nclass ReadSeedError(Error):\n    \"\"\"Exception raised for errors in the Compabality.\n\n    Attributes:\n        expression -- input expression in which the error occurred\n        message -- explanation of the error\n    \"\"\"\n\n    def __init__(self, message):\n        self.message = message\n\n\nclass VolumeError(Error):\n    \"\"\"Exception raised for errors in the Compabality.\n\n    Attributes:\n        expression -- input expression in which the error occurred\n        message -- explanation of the error\n    \"\"\"\n\n    def __init__(self, message):\n        self.message = message\n\n\nclass CSDError(Error):\n    \"\"\"Exception raised for errors in the Compabality.\n\n    Attributes:\n        expression -- input expression in which the error occurred\n        message -- explanation of the error\n    \"\"\"\n\n    def __init__(self, message):\n        self.message = message\n\n\nclass AtomTypeError(Error):\n    \"\"\"Exception raised for errors in the Compabality.\n\n    Attributes:\n        expression -- input expression in which the error occurred\n        message -- explanation of the error\n    \"\"\"\n\n    def __init__(self, message):\n        self.message = message\n"
  },
  {
    "path": "pyxtal/operations.py",
    "content": "\"\"\"\nModule for generating and analyzing transformation operations. Several functions\nfor working with matrices are provided. The class OperationAnalyzer allows for\ncomparison between pymatgen.core.operations.SymmOp objects, and can be used to\nidentify conjugate operations. The orientation class can be used to identify\ndegrees of freedom for molecules in Wyckoff positions with certain symmetry\nconstraints.\n\"\"\"\n\nfrom copy import deepcopy\n\nimport numpy as np\nfrom pymatgen.core import Element\nfrom pymatgen.core.operations import SymmOp\nfrom scipy.spatial.distance import cdist\nfrom scipy.spatial.transform import Rotation\n\nfrom pyxtal.constants import all_sym_directions, deg, hex_cell, rad\nfrom pyxtal.tolerance import Tol_matrix\n\n\n# ------------------------------\n# Define functions\ndef check_distance(\n    coord1,\n    coord2,\n    species1,\n    species2,\n    lattice,\n    PBC=None,\n    tm: Tol_matrix = None,\n    d_factor=1.0,\n):\n    \"\"\"\n    Check the distances between two atom set. Only distances between points from\n    different sets are checked.\n\n    Args:\n        coord1: a list of fractional coordinates e.g. [[.1,.6,.4]\n            [.3,.8,.2]]\n        coord2: a list of new fractional coordinates e.g. [[.7,.8,.9],\n            [.4,.5,.6]]\n        species1: a list of atomic species or numbers for coord1\n        species2: a list of atomic species or numbers for coord2\n        lattice: matrix describing the unit cell vectors\n        PBC: A periodic boundary condition list,\n            where 1 means periodic, 0 means not periodic.\n            [1,1,1] -> full 3d periodicity,\n            [0,0,1] -> periodicity along the z axis\n        tm: a Tol_matrix object, or a string representing Tol_matrix\n        d_factor: the tolerance is multiplied by this amount. Larger values\n            mean atoms must be farther apart\n\n    Returns:\n        a bool for whether or not the atoms are sufficiently far enough apart\n    \"\"\"\n    if tm is None:\n        tm = Tol_matrix(prototype=\"atomic\")\n\n    # Check that there are points to compare\n    if PBC is None:\n        PBC = [1, 1, 1]\n    if len(coord1) < 1 or len(coord2) < 1:\n        return True\n\n    # Create tolerance matrix from subset of tm\n    tols = np.zeros((len(species1), len(species2)))\n    for i1, specie1 in enumerate(species1):\n        for i2, specie2 in enumerate(species2):\n            tols[i1][i2] = tm.get_tol(specie1, specie2)\n\n    # Calculate the distance between each i, j pair\n    d = distance_matrix(coord1, coord2, lattice, PBC=PBC)\n\n    return not (np.array(d) < np.array(tols)).any()\n\n\ndef verify_distances(coordinates, species, lattice, factor=1.0, PBC=None):\n    \"\"\"\n    Checks the inter-atomic distance between all pairs of atoms in a crystal.\n\n    Args:\n        coordinates: a 1x3 list of fractional coordinates\n        species: a list of atomic symbols for each coordinate\n        lattice: a 3x3 matrix representing the lattice vectors of the unit cell\n        factor: a tolerance factor for checking distances. A larger value means\n            atoms must be farther apart\n        PBC: A periodic boundary condition list, where 1 means periodic, 0 means\n            not periodic. Ex: [1,1,1] -> full 3d periodicity, [0,0,1] -> 1d\n            periodicity along the z axis\n\n    Returns:\n        True if no atoms are too close together, False if any pair is too close\n    \"\"\"\n    if PBC is None:\n        PBC = [1, 1, 1]\n    for i, c1 in enumerate(coordinates):\n        specie1 = species[i]\n        for j, c2 in enumerate(coordinates):\n            if j > i:\n                specie2 = species[j]\n                diff = np.array(c2) - np.array(c1)\n                d_min = distance(diff, lattice, PBC=PBC)\n                radius = Element(specie1).covalent_radius + Element(specie2).covalent_radius\n                tol = factor * 0.5 * radius\n                if d_min < tol:\n                    return False\n    return True\n\n\ndef check_images(\n    coords,\n    species,\n    lattice,\n    PBC=None,\n    tm: Tol_matrix = None,\n    tol=None,\n    d_factor=1.0,\n):\n    \"\"\"\n    Given a set of (unfiltered) frac coordinates, checks if the periodic images\n    are too close.\n\n    Args:\n        coords: a list of fractional coordinates\n        species: the atomic species of each coordinate\n        lattice: a 3x3 lattice matrix\n        PBC: the periodic boundary conditions\n        tm: a Tol_matrix object\n        tol: a single override value for the distance tolerances\n        d_factor: the tolerance is multiplied by this amount. Larger values\n            mean atoms must be farther apart\n\n    Returns:\n        False if distances are too close. True if distances are not too close\n    \"\"\"\n    if tm is None:\n        tm = Tol_matrix(prototype=\"atomic\")\n\n    # If no PBC, there are no images to check\n    if PBC is None:\n        PBC = [1, 1, 1]\n\n    if PBC == [0, 0, 0]:\n        return True\n\n    # Create image coords from given coords and PBC\n    coords = np.array(coords)\n    m = create_matrix(PBC=PBC, omit=True)\n\n    new_coords = []\n    for v in m:\n        for v2 in coords + v:\n            new_coords.append(v2)\n\n    new_coords = np.array(new_coords)\n    # Create a distance matrix\n    dm = distance_matrix(coords, new_coords, lattice, PBC=[0, 0, 0])\n    # Define tolerances\n    if tol is None:\n        tols = np.zeros((len(species), len(species)))\n        for i, s1 in enumerate(species):\n            for j, s2 in enumerate(species):\n                if i <= j:\n                    tols[i][j] = tm.get_tol(s1, s2)\n                    tols[j][i] = tm.get_tol(s1, s2)\n        tols2 = np.tile(tols, int(len(new_coords) / len(coords)))\n        return not (dm < tols2).any()\n    elif tol is not None:\n        return not (dm < tol).any()\n    return True\n\n\ndef distance(xyz, lattice, PBC=None):\n    \"\"\"\n    Returns the Euclidean distance from the origin for a fractional\n    displacement vector. Takes into account the lattice metric and periodic\n    boundary conditions, including up to one non-periodic axis.\n\n    Args:\n        xyz: a fractional 3d displacement vector. Can be obtained by\n            subtracting one fractional vector from another\n        lattice: a 3x3 matrix describing a unit cell's lattice vectors\n        PBC: A periodic boundary condition list, where 1 means periodic, 0 means\n        not periodic. Ex: [1,1,1] -> full 3d periodicity, [0,0,1] -> 1d\n        periodicity along the z axis\n\n    Returns:\n        a scalar for the distance of the point from the origin\n    \"\"\"\n    if PBC is None:\n        PBC = [1, 1, 1]\n    xyz = filtered_coords(xyz, PBC=PBC)\n    matrix = create_matrix(PBC=PBC)\n    matrix += xyz\n    matrix = np.dot(matrix, lattice)\n    return np.min(np.linalg.norm(matrix, axis=1))\n\n\ndef distance_matrix(pts1, pts2, lattice, PBC=None, single=False, metric=\"euclidean\"):\n    \"\"\"\n    Returns the distances between two sets of fractional coordinates.\n    Takes into account the lattice metric and periodic boundary conditions.\n\n    Args:\n        pts1: a list of fractional coordinates\n        pts2: another list of fractional coordinates\n        lattice: a 3x3 matrix describing a unit cell's lattice vectors\n        PBC: A periodic boundary condition list, where 1 means periodic, 0 means\n            not periodic. Ex: [1,1,1] -> full 3d periodicity, [0,0,1] -> 1d\n            periodicity along the z axis\n        single: return a scalor and matrix?\n        metric: the metric to use with cdist, such as  'euclidean',\n            'sqeuclidean', 'minkowski', and others\n\n    Returns:\n        a scalor or distance matrix\n    \"\"\"\n    if PBC is None:\n        PBC = [1, 1, 1]\n\n    if PBC != [0, 0, 0]:\n        l1 = filtered_coords(pts1, PBC=PBC)\n        l2 = filtered_coords(pts2, PBC=PBC)\n        l1 = np.dot(l1, lattice)\n        l2 = np.dot(l2, lattice)\n        matrix = create_matrix(PBC=PBC)\n        matrix = np.dot(matrix, lattice)\n        all_distances = np.zeros([len(matrix), len(l1), len(l2)])\n        for i, v in enumerate(matrix):\n            all_distances[i] += cdist(l1 + v, l2, metric)\n        # m1 = np.array([(l1 + v) for v in matrix])\n        # m1 = np.vstack([l1 + v for v in matrix])\n        # all_distances = np.array([cdist(l, l2, metric) for l in m1])\n        if single:\n            return np.min(all_distances)\n        else:\n            # return np.apply_along_axis(np.min, 0, all_distances)\n            return np.min(all_distances, axis=0)\n\n    else:\n        return distance_matrix_no_PBC(pts1, pts2, lattice, single, metric)\n\n\ndef distance_matrix_no_PBC(pts1, pts2, lattice, single=False, metric=\"euclidean\"):\n    \"\"\"\n    Returns the distances between two sets of fractional coordinates.\n    Without periodic boundary conditions.\n\n    Args:\n        pts1: a list of fractional coordinates (N1*3)\n        pts2: another list of fractional coordinates (N2*3)\n        lattice: a 3x3 matrix describing a unit cell's lattice vectors\n        single: return the minimum distance or the matrix\n        metric: the metric to use with cdist. e.g. `euclidean`,\n            `sqeuclidean`, `minkowski`, and others\n\n    Returns:\n        a scalor or distance matrix\n    \"\"\"\n\n    l1 = np.dot(pts1, lattice)\n    l2 = np.dot(pts2, lattice)\n    d = cdist(l1, l2, metric)\n    if single:\n        return np.min(d)\n    else:\n        return d\n\n\ndef create_matrix(PBC=None, omit=False):\n    \"\"\"\n    Used for calculating distances in lattices with periodic boundary\n    conditions. When multiplied with a set of points, generates additional\n    points in cells adjacent to and diagonal to the original cell\n\n    Args:\n        PBC: A periodic boundary condition list (1: periodic; 0: nonperiodic).\n\n    Returns:\n        A numpy array which can be multiplied by a set of coordinates\n    \"\"\"\n    if PBC is None:\n        PBC = [1, 1, 1]\n    matrix = []\n    i_list = [-1, 0, 1] if PBC[0] else [0]\n    j_list = [-1, 0, 1] if PBC[1] else [0]\n    k_list = [-1, 0, 1] if PBC[2] else [0]\n    for i in i_list:\n        for j in j_list:\n            for k in k_list:\n                if omit:\n                    if [i, j, k] != [0, 0, 0]:\n                        matrix.append([i, j, k])\n                else:\n                    matrix.append([i, j, k])\n    return np.array(matrix, dtype=float)\n\n\ndef filtered_coords(coords, PBC=None):\n    \"\"\"\n    Transform all coordinates to [0, 1] interval if PBC is allowed\n    For example, [1.2, 1.6, -.4] becomes\n    [0.2, 0.6, 0.6] when PBC=[1,1,1]\n    [0.2, 1.6, 0.6] when PBC=[1,0,1]\n\n    Args:\n        coords: an array of real 3d vectors.\n        PBC: A periodic boundary condition list (1: periodic; 0: nonperiodic).\n\n    Returns:\n        an array of filtered coords with the same shape as coords\n    \"\"\"\n\n    if PBC is None:\n        PBC = [1, 1, 1]\n    if isinstance(coords, list):\n        coords = np.array(coords)\n    for i in range(3):\n        if PBC[i] > 0:\n            if len(coords.shape) > 1:\n                coords[:, i] -= np.floor(coords[:, i])\n            else:\n                coords[i] -= np.floor(coords[i])\n    return coords\n\n\ndef filtered_coords_euclidean(coords, PBC=None):\n    \"\"\"\n    Given an array of fractional 3-vectors, filters coordinates to between 0 and\n    1. Then, values which are greater than 0.5 are converted to 1 minus their\n    value. This is used for converting displacement vectors with a Euclidean\n    lattice.\n\n    Args:\n        coords: an array of real 3d vectors. The shape does not matter\n        PBC: A periodic boundary condition list (1: periodic; 0: nonperiodic).\n\n    Returns:\n        an array of filtered coords with the same shape as coords\n    \"\"\"\n\n    if PBC is None:\n        PBC = [1, 1, 1]\n\n    def filter_vector_euclidean(vector):\n        for i, a in enumerate(PBC):\n            if a:\n                # QZ: check if this is equivalent to -= np.rint()\n                vector[i] -= np.floor(vector[i])\n                if vector[i] > 0.5:\n                    vector[i] = 1 - vector[i]\n        return vector\n\n    return np.apply_along_axis(filter_vector_euclidean, -1, coords)\n\n\ndef get_inverse(op):\n    \"\"\"\n    Given a SymmOp object, returns its inverse.\n\n    Args:\n        op: a Symmop object\n\n    Returns:\n        the inverse\n    \"\"\"\n    matrix = op.affine_matrix.copy()\n    # fill the matrix if it is ill conditioned\n    # experimental\n    if np.linalg.matrix_rank(matrix) < 4:\n        for row in range(3):\n            # fixed value\n            if np.sum(matrix[row, :3] ** 2) < 1e-3:\n                matrix[row, row] = 1\n                matrix[row, 3] = 0\n\n        if np.linalg.matrix_rank(matrix) == 3:\n            # [-3x/2, -x/2, 1/4]\n            # [0, x, 1/4]\n            for rows in [[0, 1, 2], [1, 2, 0], [0, 2, 1]]:\n                # m = (matrix[rows,:])[:,rows]\n                # print(rows, m)\n                if np.linalg.matrix_rank(matrix[rows[:2], :3]) != 2:\n                    break\n            id0, id1, id2 = rows[0], rows[1], rows[2]\n            if matrix[id0, id1] == 0:\n                matrix[id0, id1], matrix[id0, id0] = matrix[id0, id0], matrix[id0, id1]\n                if np.linalg.matrix_rank(matrix) == 3:\n                    matrix[id0, id1], matrix[id0, id2] = (\n                        matrix[id0, id2],\n                        matrix[id0, id1],\n                    )\n            else:\n                matrix[id1, id0], matrix[id1, id1] = matrix[id1, id1], matrix[id1, id0]\n                if np.linalg.matrix_rank(matrix) == 3:\n                    matrix[id1, id0], matrix[id1, id2] = (\n                        matrix[id1, id2],\n                        matrix[id1, id0],\n                    )\n\n        elif np.linalg.matrix_rank(matrix) == 2:\n            # -3x/2, -x/2, -x+1/4\n            if np.sum(matrix[:, 0] ** 2) > 1e-3:\n                matrix[1, 0], matrix[1, 1] = matrix[1, 1], matrix[1, 0]\n                matrix[2, 0], matrix[2, 2] = matrix[2, 2], matrix[2, 0]\n            elif np.sum(matrix[:, 1] ** 2) > 1e-3:\n                matrix[0, 1], matrix[0, 0] = matrix[0, 0], matrix[0, 1]\n                matrix[2, 1], matrix[2, 2] = matrix[2, 2], matrix[2, 1]\n            else:\n                matrix[0, 2], matrix[0, 0] = matrix[0, 0], matrix[0, 2]\n                matrix[1, 2], matrix[1, 1] = matrix[1, 1], matrix[1, 2]\n    return SymmOp(np.linalg.inv(matrix))\n\n\ndef get_inverse_ops(ops):\n    \"\"\"\n    Given a inverse list of SymmOp objects\n\n    Args:\n        ops: a list of Symmop's\n\n    Returns:\n        a list of equal shape to ops, with the inverse operations\n    \"\"\"\n    inverses = []\n    for op in ops:\n        if type(op) == SymmOp:\n            inverses.append(op.inverse)\n        else:\n            inverses.append(get_inverse_ops(op))\n    return inverses\n\n\ndef apply_ops(coord, ops):\n    \"\"\"\n    Apply a list of SymmOps to a single 3-vector and return an array of\n    the generated vectors. This is the inverse of SymmOp.operate_multi.\n\n    Args:\n        coord: a 3-vector (list or numpy array)\n        ops: a list, tuple, or array of SymmOp objects\n\n    Returns:\n        an np array of floating-point 3-vectors\n    \"\"\"\n    coord = np.array(coord)\n    affine_point = np.concatenate([coord, np.ones(coord.shape[:-1] + (1,))], axis=-1)\n    matrices = np.array([op.affine_matrix for op in ops])\n    return np.inner(affine_point, matrices)[..., :-1]\n\n\ndef apply_ops_diagonal(coords, ops):\n    \"\"\"\n    Given a list of coordinates and SymmOps, apply the ith op to the ith coord\n    and return the list of transformed coordinates\n\n    Args:\n        coords: a list or array of 3-vectors\n\n    Returns:\n        a transformed numpy array of 3-vectors\n    \"\"\"\n    coords = np.array(coords)\n    affine_points = np.concatenate([coords, np.ones(coords.shape[:-1] + (1,))], axis=-1)\n    matrices = np.array([op.affine_matrix for op in ops])\n    return np.einsum(\"...ij,...j\", matrices, affine_points)[:, :3]\n\n\ndef angle(v1, v2, radians=True):\n    \"\"\"\n    Calculate the angle (in radians) between two vectors.\n\n    Args:\n        v1: a 1x3 vector\n        v2: a 1x3 vector\n        radians: whether to return angle in radians (default) or degrees\n\n    Returns:\n        the angle in radians between the two vectors\n    \"\"\"\n    v1 = np.real(v1)\n    v2 = np.real(v2)\n    dot = np.dot(v1, v2) / (np.linalg.norm(v1) * np.linalg.norm(v2))\n    # if np.isclose(dot, 1.0):\n    if np.abs(dot - 1) < 1e-3:\n        a = 0\n    elif np.abs(dot + 1) < 1e-3:\n        a = np.pi\n    else:\n        a = np.arccos(dot)\n\n    if radians:\n        return a\n    else:\n        return a * deg\n\n\ndef is_orthogonal(m, tol=0.001):\n    \"\"\"\n    Check whether or not a 3x3 matrix is orthogonal. An orthogonal matrix has\n    the property that it is equal to its transpose.\n\n    Args:\n        m: a 3x3 matrix (list or numpy array)\n        tol: the numerical tolerance for checking if two matrices are equal\n\n    Returns:\n        True if the matrix is orthogonal, False if it is not\n    \"\"\"\n    m1 = np.dot(m, np.transpose(m))\n    m2 = np.dot(np.transpose(m), m)\n    return not (not np.allclose(m1, np.identity(3), rtol=tol) or not np.allclose(m2, np.identity(3), rtol=tol))\n\n\ndef aa2matrix(axis, angle, radians=True, random=False):\n    \"\"\"\n    Given an axis and an angle, return a 3x3 rotation matrix.\n    Based on:\n    https://en.wikipedia.org/wiki/Rotation_matrix#Axis_and_angle\n\n    Args:\n        axis: a vector about which to perform a rotation\n        angle: the angle of rotation\n        radians: whether the supplied angle is in radians (True)\n            or in degrees (False)\n        random: whether or not to choose a random rotation matrix. If True, the\n            axis and angle are ignored, and a random orientation is generated\n\n    Returns:\n        a 3x3 numpy array representing a rotation matrix\n    \"\"\"\n    # Convert to radians if necessary\n    if not radians:\n        angle *= rad\n    # Allow for generation of random rotations\n    if random:\n        # a = np.random.random()\n        axis = np.random.sample(3)\n        angle = np.random.random() * np.pi * 2\n    # Ensure axis is a unit vector\n    axis = axis / np.linalg.norm(axis)\n    # Define quantities which are reused\n    x = np.real(axis[0])\n    y = np.real(axis[1])\n    z = np.real(axis[2])\n    c = np.cos(angle)\n    s = np.sin(angle)\n    C = 1 - c\n    # Define the rotation matrix\n    Q = np.zeros([3, 3])\n    Q[0][0] = x * x * C + c\n    Q[0][1] = x * y * C - z * s\n    Q[0][2] = x * z * C + y * s\n    Q[1][0] = y * x * C + z * s\n    Q[1][1] = y * y * C + c\n    Q[1][2] = y * z * C - x * s\n    Q[2][0] = z * x * C - y * s\n    Q[2][1] = z * y * C + x * s\n    Q[2][2] = z * z * C + c\n    return Q\n\n\ndef rotate_vector(v1, v2, rtol=1e-4):\n    # TODO: Verify that multiplication order is correct\n    # (matrix should come after vector in np.dot)\n    \"\"\"\n    Rotates a vector v1 to v2 about an axis perpendicular to both. Returns the\n    3x3 rotation matrix used to do so.\n\n    Args:\n        v1: a 1x3 vector (list or array) of floats\n        v2: a 1x3 vector (list or array) of floats\n\n    Returns:\n        a 3x3 matrix corresponding to a rotation which\n        can be applied to v1 to obtain v2\n    \"\"\"\n    v1 = v1 / np.linalg.norm(v1)\n    v2 = v2 / np.linalg.norm(v2)\n    dot = np.dot(v1, v2)\n    # Handle collinear vectors\n    if np.abs(dot - 1) < rtol:\n        return np.identity(3)\n    elif np.abs(dot + 1) < rtol:\n        r = np.random.sample(3) #[np.random.random(), np.random.random(), np.random.random()]\n        v3 = np.cross(v1, r)\n        v3 /= np.linalg.norm(v3)\n        # return aa2matrix(v3, np.pi)\n        return Rotation.from_rotvec(np.pi * v3).as_matrix()\n    theta = angle(v1, v2)\n    v3 = np.cross(v1, v2)\n    v3 /= np.linalg.norm(v3)\n    # return aa2matrix(v3, theta)\n    return Rotation.from_rotvec(theta * v3).as_matrix()\n\n\ndef are_equal(op1, op2, PBC=None, rtol=1e-3, atol=1e-3):\n    \"\"\"\n    Check whether two SymmOp objects are equal up to some numerical tolerance.\n    Allows for optional consideration of periodic boundary conditions. This\n    option is useful for handling the periodicity of crystals.\n\n    Args:\n        op1: a SymmOp object\n        op2: another SymmOp object\n        PBC: A periodic boundary condition list.\n        rtol: the relative numerical tolerance for equivalence\n        atol: the absolute numerical tolerance for equivalence\n\n    Returns:\n        True if op1 and op2 are equivalent, False otherwise\n    \"\"\"\n    # Check two SymmOps for equivalence\n    # pbc=True means integer translations will be ignored\n    if PBC is None:\n        PBC = [1, 1, 1]\n    m1 = op1.rotation_matrix\n    m2 = op2.rotation_matrix\n    # Check that rotations are equivalent\n    if not np.allclose(m1, m2, rtol=rtol, atol=atol):\n        return False\n    v1 = op1.translation_vector\n    v2 = op2.translation_vector\n\n    difference = v2 - v1\n\n    for i, a in enumerate(PBC):\n        if a:\n            difference[i] -= np.rint(difference[i])\n\n    d = np.linalg.norm(difference)\n\n    return abs(d) < rtol\n\n\nclass OperationAnalyzer(SymmOp):\n    \"\"\"\n    Class for comparing operations. Stores rotation axis and angle, as well as\n    the type and order of operation (identity, inversion, rotation, or\n    rotoinversion). By default, takes a SymmOp as argument. This information can\n    be accessed by calling print(object). The class methods is_conjugate and\n    are_conjugate can be used to determine if two operations are conjugate to\n    each other. That is, whether they represent the same angle of rotation and\n    are either both inverted or both uninverted.\n\n    Note: rotoinversions with odd-order rotational parts will have an over-all\n        even order. For example, the order of (-3) is 6.\n\n    Note: reflections are treated as rotoinversions of order 2.\n\n    Args:\n        SymmOp: a pymatgen.core.structure.SymmOp object to analyze\n    \"\"\"\n\n    # ++++: include support for off-center operations\n    # TODO: include support for shear and scaling operations\n    # TODO: include support for matrix-column and axis-angle initialization\n    def get_order(angle, rotoinversion=False, tol=1e-2):\n        # Find the order of a rotation based on its angle\n        found = False\n        for n in range(1, 61):\n            x = (n * angle) / (2.0 * np.pi)\n            y = x - np.rint(x)\n            if abs(y) <= tol:\n                found = True\n                break\n        if found:\n            # Double order of odd-rotation rotoinversions\n            if rotoinversion:\n                if n % 2 == 1:\n                    return int(n * 2)\n                else:\n                    return int(n)\n            else:\n                return int(n)\n        if not found:\n            return \"irrational\"\n        return None\n\n    def __init__(self, op, parse_trans=False, hexagonal=False):\n        if type(op) == deepcopy(SymmOp):\n            # The numerical tolerance associated with op\n            # The 4x4 affine matrix of the op\n            # The 3x3 rotation (or rotoinversion) matrix\n            # The determinant of self.m\n            self.op = op\n            self.tol = op.tol\n            self.affine_matrix = op.affine_matrix\n            self.m = op.rotation_matrix\n            self.det = np.linalg.det(self.m)\n            self.hexagonal = hexagonal\n\n        elif (type(op) == np.ndarray) or (type(op) == np.matrix):\n            if op.shape == (3, 3):\n                self.op = SymmOp.from_rotation_and_translation(op, [0, 0, 0])\n                self.m = self.op.rotation_matrix\n                self.det = np.linalg.det(op)\n        else:\n            raise ValueError(\"Error: OperationAnalyzer requires a SymmOp or 3x3 array.\")\n\n        self.symbol = None\n        self.parse_trans = parse_trans  # only for space group\n\n        # If rotation matrix is not orthogonal\n        if not is_orthogonal(self.m):\n            if False: #self.hexagonal:\n                #if self.op.as_xyz_string():\n                #    print('debug')\n                pass\n            else:\n                self.type = \"general\"\n                self.axis, self.angle, self.order, self.rotation_order = (\n                    None,\n                    None,\n                    None,\n                    None,\n                )\n        # If rotation matrix is orthogonal\n        else:\n            # If determinant is positive, rotation\n            if np.linalg.det(self.m) > 0:\n                self.inverted = False\n                rotvec = Rotation.from_matrix(self.m).as_rotvec()\n                if np.sum(rotvec.dot(rotvec)) < 1e-6:\n                    self.axis = None\n                    self.angle = 0\n                else:\n                    self.angle = np.linalg.norm(rotvec)\n                    self.axis = rotvec / self.angle\n                    if self.hexagonal:\n                        # print('convert hex', self.axis, np.dot(self.axis, hex_cell))\n                        if np.linalg.norm(self.axis - np.array([1, 0, 0])) > 1e-4:\n                            self.axis = np.dot(self.axis, hex_cell)\n                    # parse symmetry direction\n                    if self.parse_trans and not self.parse_axis():\n                        self.axis *= -1\n                        self.angle = 2 * np.pi - self.angle\n                        # print('switch angle', self.angle)\n\n                if np.isclose(self.angle, 0):\n                    # Types: 'identity', 'inversion', 'rotation', or 'rotoinversion'.\n                    # order: the number of times to get to origin\n                    # rotation_order: 2, 3, 4, 6\n                    self.type = \"identity\"\n                    self.order = 1\n                    self.rotation_order = 1\n                    self.symbol = \"1\"\n                else:\n                    self.type = \"rotation\"\n                    self.order = OperationAnalyzer.get_order(self.angle)\n                    self.rotation_order = self.order\n                    if self.parse_trans:\n                        self.symbol = self.parse_screw_symmetry()\n                        #print('debug', self.symbol)\n\n            # If determinant is negative, rotoinversion (including reflection)\n            elif np.linalg.det(self.m) < 0:\n                self.inverted = True\n                rotvec = Rotation.from_matrix(-1 * self.m).as_rotvec()\n                if np.sum(rotvec.dot(rotvec)) < 1e-6:\n                    self.axis = None\n                    self.angle = 0\n                else:\n                    self.angle = np.linalg.norm(rotvec)\n                    self.axis = rotvec / self.angle\n                    if self.hexagonal:\n                        if np.linalg.norm(self.axis - np.array([1, 0, 0])) > 1e-4:\n                            #print('convert hex', self.axis, np.dot(self.axis, hex_cell))\n                            self.axis = np.dot(self.axis, hex_cell)\n                if np.isclose(self.angle, 0):\n                    #self.axis = None\n                    self.symbol = \"-1\"\n                    self.type = \"inversion\"\n                    self.order = 2\n                    self.rotation_order = 1\n                else:\n                    # parse symmetry direction\n                    # if self.parse_trans and not self.parse_axis():\n                    #    self.axis *= -1\n                    #    self.angle = 2*np.pi - self.angle\n                    #    print('switch angle', self.angle)\n                    self.axis *= -1\n                    self.type = \"rotoinversion\"\n                    self.order = OperationAnalyzer.get_order(self.angle, rotoinversion=True)\n                    #print('debug', self.angle, self.axis, self.order)\n                    self.rotation_order = OperationAnalyzer.get_order(self.angle, rotoinversion=False)\n                    if self.parse_trans:\n                        self.symbol = self.parse_glide_symmetry()\n            elif np.linalg.det(self.m) == 0:\n                self.type = \"degenerate\"\n                self.axis, self.angle = None, None\n        if self.symbol is None:\n            if self.type == \"rotoinversion\":\n                if self.rotation_order == 2:\n                    self.symbol = 'm'\n                elif self.rotation_order == 3:\n                    self.symbol = '-3'\n                elif self.rotation_order == 4:\n                    self.symbol = '-4'\n                elif self.rotation_order == 6:\n                    self.symbol = '-6'\n            elif self.type == 'rotation':\n                self.symbol = str(self.order)\n\n    def parse_screw_symmetry(self, tol=1e-2):\n        \"\"\"\n        If the point group symmetry is rotation, parse the screw vector\n\n        Returns:\n            0, 2_1, 3_1, 3_2, 4_1, 4_2, 4_3, 6_1, 6_2, 6_3, 6_4, 6_5\n        \"\"\"\n        # only count the translation on the given axis\n        vec = self.translation_vector.copy()\n        if np.isclose(abs(np.dot(self.axis, np.array([1, 0, 0]))), 1):\n            vec[1] = 0\n            vec[2] = 0\n        elif np.isclose(abs(np.dot(self.axis, np.array([0, 1, 0]))), 1):\n            vec[0] = 0\n            vec[2] = 0\n        elif np.isclose(abs(np.dot(self.axis, np.array([0, 0, 1]))), 1):\n            vec[0] = 0\n            vec[1] = 0\n        else:\n            vec = 0\n        # No screw symmetry for other directios for tetragonal????\n\n        if np.linalg.norm(vec) < tol:\n            return str(self.order)  # 2, 3, 4, 6\n        else:\n            trans = np.sum(vec)\n            if self.order == 2:\n                return \"2_1\"\n            elif self.order == 3:\n                if abs(self.angle / trans - 2 * np.pi) < tol:\n                    return \"3_1\"\n                else:\n                    return \"3_2\"\n            elif self.order == 4:\n                if abs(trans) < tol:  #\n                    return \"4_2\"\n                elif abs(self.angle / trans - 2 * np.pi) < tol:\n                    return \"4_1\"\n                elif abs(self.angle / trans - np.pi) < tol or abs(self.angle / trans - 3 * np.pi) < tol:\n                    return \"4_2\"\n                elif abs(self.angle / trans - 2 / 3 * np.pi) < tol or abs(self.angle / trans - 6 * np.pi) < tol:\n                    return \"4_3\"\n            elif self.order == 6:\n                if abs(trans) < tol:  #\n                    return \"6_3\"\n                elif abs(self.angle / trans - 2 * np.pi) < tol:\n                    return \"6_1\"\n                elif abs(self.angle / trans - np.pi) < tol or abs(self.angle / trans - 5 / 2 * np.pi) < tol:\n                    return \"6_2\"\n                elif abs(self.angle / trans - 2 / 3 * np.pi) < tol or abs(self.angle / trans - 10 / 3 * np.pi) < tol:\n                    return \"6_3\"\n                elif abs(self.angle / trans - 1 / 2 * np.pi) < tol or abs(self.angle / trans - 5 * np.pi) < tol:\n                    return \"6_4\"\n                elif abs(self.angle / trans - 2 / 5 * np.pi) < tol or abs(self.angle / trans - 10 * np.pi) < tol:\n                    return \"6_5\"\n\n        #print(\"Cannot assign symbol\", self.angle, trans)\n        return \"1\" #None\n\n    def parse_glide_symmetry(self, tol=1e-2):\n        \"\"\"\n        If the point group symmetry is rotation, parse the screw vector\n        Returns:\n            m, a, b, c, n, d\n        \"\"\"\n        if self.rotation_order > 2:\n            return \"-\" + str(self.rotation_order)\n        elif abs(self.angle - np.pi) > tol:\n            #print(\"return m2\", self.op)\n            return \"m\"  # just indicate\n        else:\n            vec = self.translation_vector.copy()\n            if np.isclose(abs(np.dot(self.axis, np.array([1, 0, 0]))), 1):\n                vec[0] = 0\n            elif np.isclose(abs(np.dot(self.axis, np.array([0, 1, 0]))), 1):\n                vec[1] = 0\n            elif np.isclose(abs(np.dot(self.axis, np.array([0, 0, 1]))), 1):\n                vec[2] = 0\n\n            if np.linalg.norm(vec) < tol:\n                #print(\"return m1\", self.op.as_xyz_str(), self.axis)\n                return \"m\"\n            else:\n                if np.linalg.norm(vec - np.array([1 / 2, 0, 0])) < tol:\n                    return \"a\"\n                elif np.linalg.norm(vec - np.array([0, 1 / 2, 0])) < tol:\n                    return \"b\"\n                elif np.linalg.norm(vec - np.array([0, 0, 1 / 2])) < tol:\n                    #print(\"return c1\", self.op.as_xyz_str(), self.axis)\n                    return \"c\"\n                elif (\n                    np.linalg.norm(vec - np.array([0, 1 / 2, 1 / 2])) < tol\n                    or np.linalg.norm(vec - np.array([1 / 2, 0, 1 / 2])) < tol\n                    or np.linalg.norm(vec - np.array([1 / 2, 1 / 2, 0])) < tol\n                ):\n                    return \"n\"\n                elif np.linalg.norm(vec - np.array([1 / 2, 1 / 2, 1 / 2])) < tol:\n                    if np.isclose(abs(np.dot(self.axis, np.array([0, -0.7071, 0.7071]))), 1) or np.isclose(\n                        abs(np.dot(self.axis, np.array([-0.7071, 0, 0.7071]))), 1\n                    ):\n                        return \"n\"\n                    else:\n                        #print(\"return c2\", self.op)\n                        return \"c\"\n                else:\n                    return \"d\"\n\n    def parse_axis(self):\n        \"\"\"\n        parse if the axis follows the standard convention\n        \"\"\"\n        ax = self.axis#; print('debug ax', ax)\n        ax /= np.linalg.norm(ax)\n        for direction in all_sym_directions:\n            normed = direction / np.linalg.norm(direction)\n            # print(direction, np.dot(direction, ax))\n            if np.isclose(np.dot(normed, ax), 1):\n                return True\n            elif np.isclose(np.dot(normed, ax), -1):\n                return False\n        raise ValueError(\"Cannot find the symmetry direction\", ax)\n\n    def __str__(self):\n        \"\"\"\n        A custom printing string for the object. The type, order, angle, and\n        axis are printed. Converts values close to 0 to 0 for readability. Also\n        only prints the real part of the axis.\n        \"\"\"\n        # Avoid printing '-0.' instead of '0.'\n        #print('type', self.type, self.op.as_xyz_str())\n        if self.type not in ['inversion', 'identity'] and len(self.axis) == 3:\n            for i, x in enumerate(self.axis):\n                if np.isclose(x, 0):\n                    self.axis[i] = 0.0\n            self.axis = np.real(self.axis)\n        #else:\n        #    self.axis = None #np.array([1, 0, 0])\n        return (\n            f\" Operation: {self.symbol:4s} {self.type}\"\n            + f\"\\n {self.op.as_xyz_str()} at: {self.axis}\"\n        )\n\n    def is_conjugate(self, op2):\n        \"\"\"\n        Returns whether or not another operation is conjugate (the same\n        operation in a different reference frame). Rotations with the same order\n        will not always return True. For example, a 5/12 and 1/12 rotation will\n        not be considered conjugate.\n\n        Args:\n            op2: a SymmOp or OperationAnalyzer object to compare with\n\n        Returns:\n            True if op2 is conjugate to self.op, and False otherwise\n        \"\"\"\n        if type(op2) != OperationAnalyzer:\n            opa2 = OperationAnalyzer(op2)\n            if opa2.type == self.type:\n                if self.type == \"rotation\" or self.type == \"rotoinversion\":\n                    ratio = self.angle / opa2.angle\n                    if np.isclose(np.fabs(ratio), 1.0, atol=1e-2):\n                        return True\n                    return None\n                elif self.type == \"identity\" or self.type == \"inversion\":\n                    return True\n                return None\n            else:\n                return False\n        else:\n            if op2.type == self.type:\n                if self.type == \"rotation\" or self.type == \"rotoinversion\":\n                    ratio = self.angle / op2.angle\n                    if np.isclose(ratio, 1.0, atol=1e-2):\n                        return True\n                    return None\n                elif self.type == \"identity\" or self.type == \"inversion\":\n                    return True\n                return None\n            else:\n                return False\n\n    def are_conjugate(op1, op2):\n        \"\"\"\n        Returns whether or not two operations are conjugate (the same\n        operation in a different reference frame). Rotations with the same order\n        will not always return True. For example, a 5/12 and 1/12 rotation will\n        not be considered conjugate.\n\n        Args:\n            op1: a SymmOp or OperationAnalyzer object\n            op2: a SymmOp or OperationAnalyzer object to compare with op1\n\n        Returns:\n            True if op2 is conjugate to op1, and False otherwise\n        \"\"\"\n        if type(op1) != OperationAnalyzer:\n            opa1 = OperationAnalyzer(op1)\n        return opa1.is_conjugate(op2)\n\n\ndef find_ids(coords, ref, tol=1e-3):\n    \"\"\"\n    find the refernce ids that can match\n    \"\"\"\n    ids = []\n    # print('ref', ref)\n    for coord in coords:\n        diffs = ref - coord\n        diffs -= np.rint(diffs)\n        norms = np.linalg.norm(diffs, axis=1)\n        # print(norms, diffs)\n        for i, norm in enumerate(norms):\n            if norm < tol and i not in ids:\n                ids.append(i)\n                break\n    return ids\n\n\ndef get_best_match(positions, ref, cell):\n    \"\"\"\n    find the best match with the reference from a set of positions\n\n    Args:\n        positions: N*3 array\n        ref: 1*3 array\n        cell: cell matrix 3*3 array\n\n    Returns:\n        position: matched position\n        id: matched id\n    \"\"\"\n    diffs = positions - ref\n    diffs -= np.rint(diffs)\n    diffs = np.dot(diffs, cell)\n    dists = np.linalg.norm(diffs, axis=1)\n    id = np.argmin(dists)\n    return positions[id], dists[id]\n\n\n# Test Functionality\nif __name__ == \"__main__\":\n    # ----------------------------------------------------\n    from pymatgen.symmetry.analyzer import generate_full_symmops\n\n    rot = Rotation.from_rotvec(np.pi / 6 * np.array([1, 0, 0]))\n    op = SymmOp.from_rotation_and_translation(rot.as_matrix(), np.array([1, 0, 0]))\n    ops = [op]\n\n    symm_m = generate_full_symmops(ops, 1e-3)\n    for op in symm_m:\n        opa = OperationAnalyzer(op)\n        print(opa.order)\n"
  },
  {
    "path": "pyxtal/optimize/DFS.py",
    "content": "\"\"\"\nGlobal optimization using Depth First Sampling\n\"\"\"\nfrom __future__ import annotations\nfrom time import time\nfrom typing import TYPE_CHECKING\n\nimport numpy as np\nfrom numpy.random import Generator\nfrom pymatgen.analysis.structure_matcher import StructureMatcher\nfrom pyxtal.optimize.base import GlobalOptimize\n\nif TYPE_CHECKING:\n    from pyxtal.lattice import Lattice\n    from pyxtal.molecule import pyxtal_molecule\n\n\nclass DFS(GlobalOptimize):\n    \"\"\"\n    Standard Population algorithm\n\n    Args:\n        smiles (str): smiles string\n        workdir (str): path of working directory\n        sg (int or list): space group number or list of spg numbers\n        tag (string): job prefix\n        ff_opt (bool): activate on the fly FF mode\n        ff_style (str): automated force style (`gaff` or `openff`)\n        ff_parameters (str or list): ff parameter xml file or list\n        reference_file (str): path of reference xml data for FF training\n        N_gen (int): number of generation (default: `10`)\n        N_pop (int): number of populations (default: `10`)\n        N_survival (int): number of survivals (default: `20`)\n        N_cpu (int): number of cpus for parallel calculation (default: `1`)\n        cif (str): cif file name to store all structure information\n        block: block mode\n        num_block: list of blocks\n        compositions: list of composition, (default is [1]*Num_mol)\n        lattice (bool): whether or not supply the lattice\n        torsions: list of torsion angle\n        molecules (list): list of pyxtal_molecule objects\n        sites (list): list of wp sites, e.g., [['4a']]\n        use_hall (bool): whether or not use hall number (default: False)\n        mlp (str): MACE | UMA | ANI\n        skip_mlp (bool): whether or not use mlp or not (default: True)\n        output_mlp (bool): whether or not output the mlp relaxed structure (default: True)\n        eng_cutoff (float): the cutoff energy for FF training\n        E_max (float): maximum energy defined as an invalid structure\n        verbose (bool): show more details\n        use_mpi (bool): if use mpi\n    \"\"\"\n\n    def __init__(\n        self,\n        smiles: str,\n        workdir: str,\n        sg: int | list,\n        tag: str = 'test',\n        info: dict[any, any] | None = None,\n        ff_opt: bool = False,\n        ff_style: str = \"openff\",\n        ff_parameters: str = \"parameters.xml\",\n        reference_file: str = \"references.xml\",\n        ref_criteria: dict[any, any] | None = None,\n        N_gen: int = 10,\n        N_pop: int = 10,\n        N_cpu: int = 1,\n        N_survival: int = 20,\n        cif: str | None = None,\n        block: list[any] | None = None,\n        num_block: list[any] | None = None,\n        composition: list[any] | None = None,\n        lattice: Lattice | None = None,\n        torsions: list[any] | None = None,\n        molecules: list[pyxtal_molecule] | None = None,\n        sites: list[any] | None = None,\n        use_hall: bool = False,\n        mlp: str = \"MACE\",\n        skip_mlp: bool = True,\n        output_mlp: bool = True,\n        factor: float = 1.1,\n        eng_cutoff: float = 5.0,\n        E_max: float = 1e10,\n        verbose: bool = False,\n        random_state: int | None = None,\n        max_time: float | None = None,\n        matcher: StructureMatcher | None = None,\n        early_quit: bool = False,\n        check_stable: bool = False,\n        use_mpi: bool = False,\n        pre_opt: bool = False,\n        check: bool = False,\n    ):\n        if isinstance(random_state, Generator):\n            self.random_state = random_state.spawn(1)[0]\n        else:\n            self.random_state = np.random.default_rng(random_state)\n\n        self.check = check\n\n        # POPULATION parameters:\n        self.N_gen = N_gen\n        self.N_pop = N_pop\n        self.N_survival = N_survival\n        self.verbose = verbose\n        self.name = 'DFS'\n\n        # initialize other base parameters\n        GlobalOptimize.__init__(\n            self,\n            smiles,\n            workdir,\n            sg,\n            tag,\n            info,\n            ff_opt,\n            ff_style,\n            ff_parameters,\n            reference_file,\n            ref_criteria,\n            N_cpu,\n            cif,\n            block,\n            num_block,\n            composition,\n            lattice,\n            torsions,\n            molecules,\n            sites,\n            use_hall,\n            mlp,\n            skip_mlp,\n            output_mlp,\n            factor,\n            eng_cutoff,\n            E_max,\n            random_state,\n            max_time,\n            matcher,\n            early_quit,\n            check_stable,\n            use_mpi,\n            pre_opt,\n        )\n\n        if self.rank == 0:\n            strs = self.full_str()\n            self.logging.info(strs)\n            print(strs)\n\n    def full_str(self):\n        s = str(self)\n        s += \"\\nMethod    : Stochastic Depth First Sampling\"\n        s += f\"\\nGeneration: {self.N_gen:4d}\"\n        s += f\"\\nPopulation: {self.N_pop:4d}\"\n        # The rest base information from now on\n        return s\n\n    def _run(self, pool=None):\n        \"\"\"\n        The main code to run DFS prediction\n\n        Returns:\n            success_rate or None\n        \"\"\"\n        # Related to the FF optimization\n        success_rate = 0\n        cur_survivals = [0] * self.N_pop  # track the survivals\n        hist_best_xtals = [None] * self.N_pop\n        hist_best_engs = [self.E_max] * self.N_pop\n        print(f\"Rank {self.rank} starts DFS in {self.tag}\")\n\n        for gen in range(self.N_gen):\n            self.generation = gen\n            cur_xtals = None\n\n            if self.rank == 0:\n                print(f\"\\nGeneration {gen:d} starts\")\n                self.logging.info(f\"Generation {gen:d} starts\")\n                t0 = time()\n                # Initialize structure and tags\n                cur_xtals = [(None, \"Random\")] * self.N_pop\n\n                # DFS update\n                if gen > 0:\n                    count = 0\n                    mid_E = np.median(engs)\n\n                    for id in range(self.N_pop):\n                        # select the structures for further mutation\n                        min_E = min([engs[id], hist_best_engs[id]])\n                        if min_E < mid_E and cur_survivals[id] < self.N_survival:\n                            # if check_stable and the structure is not stable\n                            if self.check_stable and not self.stats[gen-1][id, -1]:\n                                source = prev_xtals[id][0]\n                                cur_xtals[id] = (source, \"Kept\")\n                            else:\n                                if self.random_state.random() < 0.7:\n                                    source = prev_xtals[id][0]\n                                else:\n                                    source = hist_best_xtals[id]\n                                cur_xtals[id] = (source, \"Mutation\")\n\n                            if source is not None:\n                                cur_survivals[id] += 1\n                                # Forget about the local best\n                                if cur_survivals[id] == self.N_survival:\n                                    hist_best_engs[id] = engs[id]\n                                    hist_best_xtals[id] = prev_xtals[id][0]\n                                count += 1\n\n                        # Reset it to 0 for random generation\n                        if cur_xtals[id][1] == \"Random\": cur_survivals[id] = 0\n\n            # broadcast\n            if self.use_mpi: cur_xtals = self.comm.bcast(cur_xtals, root=0)\n\n            # Local optimization\n            gen_results = self.local_optimization(cur_xtals, pool=pool)\n\n            prev_xtals = None\n            if self.rank == 0:\n                # pass results, summary_and_ranking\n                cur_xtals, matches, engs = self.gen_summary(t0,\n                                        gen_results, cur_xtals)\n\n                # update hist_best\n                for id, (xtal, _) in enumerate(cur_xtals):\n                    if xtal is not None:\n                        eng = xtal.energy / sum(xtal.numMols)\n                        if eng < hist_best_engs[id]:\n                            hist_best_engs[id] = eng\n                            hist_best_xtals[id] = xtal\n\n                # Save the reps for next move\n                prev_xtals = cur_xtals  # ; print(self.engs)\n\n            # broadcast\n            if self.use_mpi:\n                prev_xtals = self.comm.bcast(prev_xtals, root=0)\n                self.logging.info(f\"Gen {gen} bcast in Rank {self.rank}\")\n\n            # Update the FF parameters if necessary\n            if self.ff_opt:\n                self.export_references(cur_xtals, engs)\n            else:\n                quit = False\n                if self.rank == 0:\n                    if self.ref_pmg is not None:\n                        success_rate = self.success_count(cur_xtals, matches)\n                        if self.early_termination(success_rate):\n                            quit = True\n\n                    elif self.ref_pxrd is not None:\n                        self.count_pxrd_match(cur_xtals, matches)\n\n                # quit the loop\n                if self.use_mpi:\n                    quit = self.comm.bcast(quit, root=0)\n                    self.comm.Barrier()\n                    self.logging.info(f\"Gen {gen} Finish in Rank {self.rank}\")\n\n                # Ensure that all ranks exit\n                if quit:\n                    self.logging.info(f\"Early Termination in Rank {self.rank}\")\n                    return success_rate\n\n        return success_rate\n\n    @classmethod\n    def load(cls, filename):\n        \"\"\"\n        Load the status of the WFS object\n        \"\"\"\n        from pyxtal.optimize.base import load_xml\n\n        # Define the parameter names in the same order as load_xml returns them\n        param_names = [\n        'smiles', 'workdir', 'sg', 'tag', 'info', 'ff_opt', 'ff_style',\n        'ff_parameters', 'reference_file', 'ref_criteria', 'N_gen',\n        'N_pop', 'N_cpu', 'fracs', 'cif', 'block', 'num_block',\n        'composition', 'lattice', 'torsions', 'molecules', 'sites',\n        'use_hall', 'mlp', 'skip_mlp', 'output_mlp', 'factor', 'eng_cutoff', 'E_max',\n        'verbose', 'random_state', 'max_time', 'matcher', 'early_quit',\n        'check_stable', 'use_mpi', 'pre_opt']\n\n        # Convert tuple to dictionary\n        args = dict(zip(param_names, load_xml(filename)))\n        return cls(**args)\n\nif __name__ == \"__main__\":\n    import argparse\n    import os\n    from pyxtal.db import database\n\n    parser = argparse.ArgumentParser()\n    parser.add_argument(\"--gen\", dest=\"gen\", type=int, default=10,\n                        help=\"Number of generation, optional\")\n    parser.add_argument(\"--pop\", dest=\"pop\", type=int, default=10,\n                        help=\"Population size, optional\")\n    parser.add_argument(\"--ncpu\", dest=\"ncpu\", type=int,\n                        default=1, help=\"cpu number, optional\")\n    parser.add_argument(\"--ffopt\", action=\"store_true\",\n                        help=\"enable ff optimization\")\n\n    options = parser.parse_args()\n    gen = options.gen\n    pop = options.pop\n    ncpu = options.ncpu\n    ffopt = options.ffopt\n    db_name, name = \"pyxtal/database/test.db\", \"ACSALA\"\n    wdir = name\n    os.makedirs(wdir, exist_ok=True)\n    os.makedirs(wdir + \"/calc\", exist_ok=True)\n\n    db = database(db_name)\n    row = db.get_row(name)\n    xtal = db.get_pyxtal(name)\n    smile, wt = row.mol_smi, row.mol_weight\n    spg = row.space_group.replace(\" \", \"\")\n    chm_info = None\n    if not ffopt:\n        if \"charmm_info\" in row.data:\n            # prepare charmm input\n            chm_info = row.data[\"charmm_info\"]\n            with open(wdir + \"/calc/pyxtal.prm\", \"w\") as prm:\n                prm.write(chm_info[\"prm\"])\n            with open(wdir + \"/calc/pyxtal.rtf\", \"w\") as rtf:\n                rtf.write(chm_info[\"rtf\"])\n        else:\n            if os.path.exists(\"parameters.xml\"):\n                os.remove(\"parameters.xml\")\n    # load reference xtal\n    pmg0 = xtal.to_pymatgen()\n    if xtal.has_special_site(): xtal = xtal.to_subgroup()\n    N_torsion = xtal.get_num_torsions()\n\n    # GO run\n    t0 = time()\n    go = DFS(\n        smile,\n        wdir,\n        xtal.group.number,\n        name.lower(),\n        info=chm_info,\n        ff_style=\"openff\", #'gaff',\n        ff_opt=ffopt,\n        N_gen=gen,\n        N_pop=pop,\n        N_cpu=ncpu,\n        cif=\"pyxtal.cif\",\n    )\n\n    suc_rate = go.run(pmg0)\n    print(f\"CSD {name:s} in Gen {go.generation}\")\n\n    if len(go.matches) > 0:\n        best_rank = go.print_matches()\n        mytag = f\"True {best_rank}/{go.N_struc} Succ_rate: {suc_rate:.4f}%\"\n    else:\n        mytag = f\"False 0/{go.N_struc}\"\n\n    eng = go.min_energy\n    t1 = int((time() - t0)/60)\n    strs = \"Final {:8s} [{:2d}]{:10s} \".format(name, sum(xtal.numMols), spg)\n    strs += \"{:3d}m {:2d} {:6.1f}\".format(t1, N_torsion, wt)\n    strs += \"{:12.3f} {:20s} {:s}\".format(eng, mytag, smile)\n    print(strs)\n"
  },
  {
    "path": "pyxtal/optimize/QRS.py",
    "content": "\"\"\"\nGlobal Optimizer base on Quasi-Random Sampling\n\"\"\"\nfrom __future__ import annotations\nfrom time import time\nfrom typing import TYPE_CHECKING\n\nimport numpy as np\nfrom scipy.stats import qmc\nfrom pymatgen.analysis.structure_matcher import StructureMatcher\n\nfrom pyxtal.optimize.base import GlobalOptimize\nfrom pyxtal.representation import representation\nfrom pyxtal.lattice import Lattice\n\nif TYPE_CHECKING:\n    from pyxtal.molecule import pyxtal_molecule\n\ndef generate_qrs_cell(sampler, cell_bounds, ref_volume, ltype):\n    \"\"\"\n    A routine to generate quasi random samples for lattice and wp\n    \"\"\"\n    # Sample cell parameters\n    min_vol, max_vol = 0.75*ref_volume, 2.5*ref_volume\n    lb = [b[0] for b in cell_bounds]\n    ub = [b[1] for b in cell_bounds]\n    count = 0\n    while True:\n        count += 1\n        sample = qmc.scale(sampler.random(), lb, ub)[0].tolist()\n        lat = Lattice.from_1d_representation(sample, ltype)\n        if min_vol < lat.volume < max_vol:\n            #print(sample, ltype)\n            return sample\n        if count == 1000:\n            raise ValueError(\"Cannot generate valid cell with 1000 attempts\")\n\ndef generate_qrs_xtals(cell, wp_bounds, N_pop, smiles, comp, sampler_wp=None, d_tol=0.85):\n    \"\"\"\n    Get the qrs xtal samples\n\n    Args:\n        cell (list): [hall, a, b, c]\n        wp_bounds (list): [[wp0], [wp1], ...]\n        N_pop (int): number of valid candidates\n        smiles (list): []\n        comp (list): [1]\n        sampler_wp: sampler\n        d_tol (float): short distance tolerance value\n    \"\"\"\n    #cell = [81, 11.38,  6.48, 11.24,  96.9]\n    xtals = []\n    lb, ub = [], []\n    seqs = []\n    for wp_bound in wp_bounds:\n        lb += [b[0] for b in wp_bound]\n        ub += [b[1] for b in wp_bound]\n        seqs.append(len(wp_bound))\n\n    if sampler_wp is None:\n        sampler_wp = qmc.Sobol(d=len(lb), scramble=False)\n\n    m = max([int(np.log2(N_pop))+3, 9])\n\n    for i in range(2**m):\n        sample_wp = sampler_wp.random()#; print(sample_wp)\n        sample_wp = qmc.scale(sample_wp, lb, ub)[0].tolist()\n        x = [cell]\n        prev = 0\n        for seq in seqs:\n            wp = [0] + sample_wp[prev:prev+seq] + [0]#; print('DDDD', prev, prev+seq, sample_wp[prev:prev+seq], wp)\n            x.append(wp) # print(x)\n            prev = seq\n        rep = representation(x, smiles)\n        xtal = rep.to_pyxtal(composition=comp)\n        if not xtal.has_special_site() and len(xtal.check_short_distances(r=d_tol)) == 0:\n            xtals.append((xtal, \"QRandom\"))\n            if len(xtals) == N_pop:\n                return xtals\n        #else:\n        #    print(rep, len(xtal.check_short_distances(r=0.6)))\n    return xtals\n\n\nclass QRS(GlobalOptimize):\n    \"\"\"\n    Quasi-Random Sampling\n\n    Args:\n        smiles (str): smiles string\n        workdir (str): path of working directory\n        sg (int or list): space group number or list of spg numbers\n        tag (string): job prefix\n        ff_opt (bool): activate on the fly FF mode\n        ff_style (str): automated force style (`gaff` or `openff`)\n        ff_parameters (str or list): ff parameter xml file or list\n        reference_file (str): path of reference xml data for FF training\n        N_gen (int): number of generation (default: `10`)\n        N_pop (int): number of populations (default: `10`)\n        N_cpu (int): number of cpus for parallel calculation (default: `1`)\n        cif (str): cif file name to store all structure information\n        block: block mode\n        num_block: list of blocks\n        compositions: list of composition, (default is [1]*Num_mol)\n        lattice (bool): whether or not supply the lattice\n        torsions: list of torsion angle\n        molecules (list): list of pyxtal_molecule objects\n        sites (list): list of wp sites, e.g., [['4a']]\n        use_hall (bool): whether or not use hall number (default: False)\n        mlp (str): MACE | UMA | ANI\n        skip_mlp (bool): whether or not use ani or not (default: True)\n        output_mlp (bool): whether or not output the ANI relaxed structure (default: True)\n        eng_cutoff (float): the cutoff energy for FF training\n        E_max (float): maximum energy defined as an invalid structure\n        verbose (bool): show more details\n        use_mpi (bool): whether or not use mpi for parallel calculation\n    \"\"\"\n\n    def __init__(\n        self,\n        smiles: str,\n        workdir: str,\n        sg: int | list,\n        tag: str = 'test',\n        info: dict[any, any] | None = None,\n        ff_opt: bool = False,\n        ff_style: str = \"openff\",\n        ff_parameters: str = \"parameters.xml\",\n        reference_file: str = \"references.xml\",\n        ref_criteria: dict[any, any] | None = None,\n        N_gen: int = 10,\n        N_pop: int = 10,\n        N_cpu: int = 1,\n        cif: str | None = None,\n        block: list[any] | None = None,\n        num_block: list[any] | None = None,\n        composition: list[any] | None = None,\n        lattice: Lattice | None = None,\n        torsions: list[any] | None = None,\n        molecules: list[pyxtal_molecule] | None = None,\n        sites: list[any] | None = None,\n        use_hall: bool = False,\n        mlp: str = \"MACE\",\n        skip_mlp: bool = True,\n        output_mlp: bool = True,\n        factor: float = 1.1,\n        eng_cutoff: float = 5.0,\n        E_max: float = 1e10,\n        verbose: bool = False,\n        max_time: float | None = None,\n        matcher: StructureMatcher | None = None,\n        early_quit: bool = False,\n        check_stable: bool = False,\n        use_mpi: bool = False,\n    ):\n\n        # POPULATION parameters:\n        self.N_gen = N_gen # Number of lattice points\n        self.N_pop = N_pop # Number of wp varieties\n        self.verbose = verbose\n        self.name = 'QRS'\n\n        # initialize other base parameters\n        GlobalOptimize.__init__(\n            self,\n            smiles,\n            workdir,\n            sg,\n            tag,\n            info,\n            ff_opt,\n            ff_style,\n            ff_parameters,\n            reference_file,\n            ref_criteria,\n            N_cpu,\n            cif,\n            block,\n            num_block,\n            composition,\n            lattice,\n            torsions,\n            molecules,\n            sites,\n            use_hall,\n            mlp,\n            skip_mlp,\n            output_mlp,\n            factor,\n            eng_cutoff,\n            E_max,\n            None, #random_state,\n            max_time,\n            matcher,\n            early_quit,\n            check_stable,\n            use_mpi,\n        )\n\n        if self.rank == 0:\n            strs = self.full_str()\n            self.logging.info(strs)\n            print(strs)\n\n    def full_str(self):\n        s = str(self)\n        s += \"\\nMethod    : Deterministic Quasi-Random Sampling\"\n        s += f\"\\nGeneration: {self.N_gen:4d}\"\n        s += f\"\\nPopulation: {self.N_pop:4d}\"\n        return s\n\n    def _run(self, pool=None):\n        \"\"\"\n        The main code to run QRS prediction\n\n        Returns:\n            success_rate or None\n        \"\"\"\n        self.ref_volumes = []\n        success_rate = 0\n        print(f\"Rank {self.rank} starts QRS in {self.tag}\")\n\n        for gen in range(self.N_gen):\n            self.generation = gen\n            cur_xtals = None\n\n            if self.rank == 0:\n                print(f\"\\nGeneration {gen:d} starts\")\n                self.logging.info(f\"Generation {gen:d} starts\")\n                t0 = time()\n\n                # Initialize\n                cur_xtals = [(None, \"Random\")] * self.N_pop\n\n                # QRS update\n                if gen > 0:\n                    if self.lattice is not None:\n                        cell = [self.hall_number] + self.lattice.encode()\n                        sampler = self.sampler\n                    else:\n                        cell = generate_qrs_cell(self.sampler,\n                                                 self.cell_bounds,\n                                                 self.ref_volumes[-1],\n                                                 self.ltype)\n                        cell = [self.hall_number] + cell\n                        sampler = None\n\n                    cur_xtals = generate_qrs_xtals(cell,\n                                                   self.wp_bounds,\n                                                   self.N_pop,\n                                                   self.smiles,\n                                                   self.composition,\n                                                   sampler)\n                    strs = f\"Cell parameters in Gen-{gen:d}: \"\n                    print(strs, cell, self.ref_volumes[-1], len(cur_xtals))\n\n\n            # Broadcast\n            if self.use_mpi: cur_xtals = self.comm.bcast(cur_xtals, root=0)\n\n            # Local optimization\n            gen_results = self.local_optimization(cur_xtals, qrs=True, pool=pool)\n\n            # Summary and Ranking\n            quit = False\n            if self.rank == 0:\n                cur_xtals, matches, engs = self.gen_summary(t0,\n                                        gen_results, cur_xtals)\n\n                # update hist_best\n                vols = []\n                for id, (xtal, _) in enumerate(cur_xtals):\n                    if xtal is not None:\n                        vols.append(xtal.lattice.volume)\n\n                # update best volume\n                self.ref_volumes.append(np.array(vols).mean())\n                if gen == 0:\n                    best_xtal = cur_xtals[0][0]\n                    self.cell_bounds = best_xtal.lattice.get_bounds(2.5, 25)\n                    self.ltype = best_xtal.lattice.ltype\n                    self.wp_bounds = [site.get_bounds() for site in best_xtal.mol_sites]\n                    self.hall_number = best_xtal.group.hall_number\n                    if self.lattice is not None:\n                        len_reps = sum(len(bound) for bound in self.wp_bounds)\n                    else:\n                        len_reps = len(self.cell_bounds)\n                    self.sampler = qmc.Sobol(d=len_reps, scramble=False)\n\n                if self.ref_pmg is not None:\n                    success_rate = self.success_count(cur_xtals, matches)\n\n                    if self.early_termination(success_rate):\n                        quit = True\n\n                elif self.ref_pxrd is not None:\n                    self.count_pxrd_match(cur_xtals, matches)\n\n            if self.use_mpi:\n                quit = self.comm.bcast(quit, root=0)\n                self.comm.Barrier()\n                self.logging.info(f\"Gen {gen} Finish in Rank {self.rank}\")\n\n            if quit:\n                self.logging.info(f\"Early Termination in Rank {self.rank}\")\n                return success_rate\n\n        return success_rate\n\nif __name__ == \"__main__\":\n    print(\"test\")\n"
  },
  {
    "path": "pyxtal/optimize/WFS.py",
    "content": "\"\"\"\nGlobal optimization using the Stochastic Width First Sampling (WFS) algorithm\n\"\"\"\n\nfrom __future__ import annotations\nfrom time import time\nfrom typing import TYPE_CHECKING\n\nimport numpy as np\nfrom numpy.random import Generator\nfrom pymatgen.analysis.structure_matcher import StructureMatcher\nfrom pyxtal.optimize.base import GlobalOptimize\n\nif TYPE_CHECKING:\n    from pyxtal.lattice import Lattice\n    from pyxtal.molecule import pyxtal_molecule\n\nclass WFS(GlobalOptimize):\n    \"\"\"\n    Standard Population algorithm\n\n    Args:\n        smiles (str): smiles string\n        workdir (str): path of working directory\n        sg (int or list): space group number or list of spg numbers\n        tag (string): job prefix\n        ff_opt (bool): activate on the fly FF mode\n        ff_style (str): automated force style (`gaff` or `openff`)\n        ff_parameters (str or list): ff parameter xml file or list\n        reference_file (str): path of reference xml data for FF training\n        N_gen (int): number of generation (default: `10`)\n        N_pop (int): number of populations (default: `10`)\n        fracs (list): fractions for each variation (default: `[0.5, 0.5, 0.0]`)\n        N_cpu (int): number of cpus for parallel calculation (default: `1`)\n        cif (str): cif file name to store all structure information\n        block: block mode\n        num_block: list of blocks\n        composition: list of composition, (default is [1]*Num_mol)\n        lattice (bool): whether or not supply the lattice\n        torsions: list of torsion angle\n        molecules (list): list of pyxtal_molecule objects\n        sites (list): list of wp sites, e.g., [['4a']]\n        use_hall (bool): whether or not use hall number (default: False)\n        mlp (str): MACE | UMA | ANI\n        skip_mlp (bool): whether or not use ani or not (default: True)\n        output_mlp (bool): whether or not output the ANI relaxed structure (default: True)\n        eng_cutoff (float): the cutoff energy for FF training\n        E_max (float): maximum energy defined as an invalid structure\n        verbose (bool): show more details\n        matcher : structurematcher from pymatgen\n        early_quit (bool): if quit the program early when the target is found\n        use_mpi (bool): if use mpi\n    \"\"\"\n\n    def __init__(\n        self,\n        smiles: str,\n        workdir: str,\n        sg: int | list,\n        tag: str = 'test',\n        info: dict[any, any] | None = None,\n        ff_opt: bool = False,\n        ff_style: str = \"openff\",\n        ff_parameters: str = \"parameters.xml\",\n        reference_file: str = \"references.xml\",\n        ref_criteria: dict[any, any] | None = None,\n        N_gen: int = 10,\n        N_pop: int = 10,\n        N_cpu: int = 1,\n        fracs: list | None = None,\n        cif: str | None = None,\n        block: list[any] | None = None,\n        num_block: list[any] | None = None,\n        composition: list[any] | None = None,\n        lattice: Lattice | None = None,\n        torsions: list[any] | None = None,\n        molecules: list[pyxtal_molecule] | None = None,\n        sites: list[any] | None = None,\n        use_hall: bool = False,\n        mlp: str = \"MACE\",\n        skip_mlp: bool = True,\n        output_mlp: bool = True,\n        factor: float = 1.1,\n        eng_cutoff: float = 5.0,\n        E_max: float = 1e10,\n        verbose: bool = False,\n        random_state: int | None = None,\n        max_time: float | None = None,\n        matcher: StructureMatcher | None = None,\n        early_quit: bool = False,\n        check_stable: bool = False,\n        use_mpi: bool = False,\n        pre_opt: bool = False,\n        check: bool = True,\n    ):\n        if isinstance(random_state, Generator):\n            self.random_state = random_state.spawn(1)[0]\n        else:\n            self.random_state = np.random.default_rng(random_state)\n\n        # POPULATION parameters:\n\n        self.check = check\n        self.N_gen = N_gen\n        self.N_pop = N_pop\n        self.verbose = verbose\n        self.name = 'WFS'\n\n        # initialize other base parameters\n        GlobalOptimize.__init__(\n            self,\n            smiles,\n            workdir,\n            sg,\n            tag,\n            info,\n            ff_opt,\n            ff_style,\n            ff_parameters,\n            reference_file,\n            ref_criteria,\n            N_cpu,\n            cif,\n            block,\n            num_block,\n            composition,\n            lattice,\n            torsions,\n            molecules,\n            sites,\n            use_hall,\n            mlp,\n            skip_mlp,\n            output_mlp,\n            factor,\n            eng_cutoff,\n            E_max,\n            random_state,\n            max_time,\n            matcher,\n            early_quit,\n            check_stable,\n            use_mpi,\n            pre_opt,\n        )\n\n        if fracs is None:\n            if len(self.sg) > 4:\n                fracs = [0.8, 0.2]\n            else:\n                fracs = [0.6, 0.4]\n        self.fracs = np.array(fracs)\n\n        if self.rank == 0:\n            strs = self.full_str()\n            self.logging.info(strs)\n            print(strs)\n        print(f\"Rank {self.rank} finish initialization {self.tag}\")\n\n    def full_str(self):\n        s = str(self)\n        s += \"\\nMethod    : Stochastic Width First Sampling\"\n        s += f\"\\nGeneration: {self.N_gen:4d}\"\n        s += f\"\\nPopulation: {self.N_pop:4d}\"\n        s += \"\\nFraction  : {:4.2f} {:4.2f}\".format(*self.fracs)\n        return s\n\n    def _run(self, pool=None):\n        \"\"\"\n        The main code to run WFS prediction\n\n        Returns:\n            success_rate or None\n        \"\"\"\n\n        # Related to the FF optimization\n        success_rate = 0\n        print(f\"Rank {self.rank} starts WFS in {self.tag}\")\n\n        for gen in range(self.N_gen):\n            self.generation = gen\n            cur_xtals = None\n\n            if self.rank == 0:\n                print(f\"\\nGeneration {gen:d} starts\")\n                self.logging.info(f\"Generation {gen} starts\")\n                t0 = time()\n\n                # Initialize\n                cur_xtals = [(None, \"Random\")] * self.N_pop\n\n                # WFS update\n                if gen > 0:\n                    for i in range(self.N_pop):\n                        if self.check_stable and not self.stats[gen-1][i, -1]:\n                            # If the previously kept structure has no improvement,\n                            # reset it to Mutation\n                            if gen >= 2 and not self.stats[gen-2][i, -1] and \\\n                            self.stats[gen-1][i, 0] + 1e-3 > self.stats[gen-2][i, 0]:\n                                cur_xtals[i] = (prev_xtals[i][0], \"Mutation\")\n                            else:\n                                cur_xtals[i] = (prev_xtals[i][0], \"Kept\")\n                        else:\n                            if self.random_state.random() > self.fracs[0]:\n                                # Mutation\n                                id = self._selTournament(engs)\n                                cur_xtals[i] = (prev_xtals[id][0], \"Mutation\")\n\n                        # If the space group is 1, it is a random structure\n                        if len(self.sg) > 0 and cur_xtals[i][0] is not None and cur_xtals[i][1] == \"Mutation\":\n                            if cur_xtals[i][0].group.number == 1:\n                                cur_xtals[i] = (None, \"Random\")\n\n            # broadcast\n            if self.use_mpi: cur_xtals = self.comm.bcast(cur_xtals, root=0)\n\n            # Local optimization\n            gen_results = self.local_optimization(cur_xtals, pool=pool)\n\n            prev_xtals = None\n            if self.rank == 0:\n                # pass results, summary_and_ranking\n                cur_xtals, matches, engs = self.gen_summary(t0,\n                                        gen_results, cur_xtals)\n\n                # Save the reps for next move\n                prev_xtals = cur_xtals\n\n            # Broadcast\n            if self.use_mpi:\n                prev_xtals = self.comm.bcast(prev_xtals, root=0)\n                self.logging.info(f\"Gen {gen} bcast in Rank {self.rank}\")\n\n            # Update the FF parameters if necessary\n            if self.ff_opt:\n                self.export_references(cur_xtals, engs)\n            else:\n                quit = False\n                if self.rank == 0:\n                    if self.ref_pmg is not None:\n                        success_rate = self.success_count(cur_xtals, matches)\n                        if self.early_termination(success_rate):\n                            quit = True\n\n                    elif self.ref_pxrd is not None:\n                        self.count_pxrd_match(cur_xtals, matches)\n\n                # quit the loop\n                if self.use_mpi:\n                    quit = self.comm.bcast(quit, root=0)\n                    self.comm.Barrier()\n                    self.logging.info(f\"Gen {gen} Finish in Rank {self.rank}\")\n                # Ensure that all ranks exit\n                if quit:\n                    self.logging.info(f\"Early Termination in Rank {self.rank}\")\n                    return success_rate\n\n        return success_rate\n\n    def _selTournament(self, fitness, factor=0.35):\n        \"\"\"\n        Select the best individual among *tournsize* randomly chosen\n        individuals, *k* times. The list returned contains\n        references to the input *individuals*.\n        \"\"\"\n        IDs = self.random_state.choice(len(fitness), size=int(\n            len(fitness) * factor), replace=False)\n        min_fit = np.argmin(fitness[IDs])\n        return IDs[min_fit]\n\n    @classmethod\n    def load(cls, filename):\n        \"\"\"\n        Load the status of the WFS object\n        \"\"\"\n        from pyxtal.optimize.base import load_xml\n\n        # Define the parameter names in the same order as load_xml returns them\n        param_names = [\n        'smiles', 'workdir', 'sg', 'tag', 'info', 'ff_opt', 'ff_style',\n        'ff_parameters', 'reference_file', 'ref_criteria', 'N_gen',\n        'N_pop', 'N_cpu', 'fracs', 'cif', 'block', 'num_block',\n        'composition', 'lattice', 'torsions', 'molecules', 'sites',\n        'use_hall', 'skip_ani', 'output_ani', 'factor', 'eng_cutoff', 'E_max',\n        'verbose', 'random_state', 'max_time', 'matcher', 'early_quit',\n        'check_stable', 'use_mpi', 'pre_opt']\n\n        # Convert tuple to dictionary\n        args = dict(zip(param_names, load_xml(filename)))\n        return cls(**args)\n\n\nif __name__ == \"__main__\":\n    import argparse\n    import os\n    from pyxtal.db import database\n\n    parser = argparse.ArgumentParser()\n    parser.add_argument(\"--gen\", dest=\"gen\", type=int,\n                        default=10, help=\"Generation size\")\n    parser.add_argument(\"--pop\", dest=\"pop\", type=int,\n                        default=10, help=\"Population size\")\n    parser.add_argument(\"--ncpu\", dest=\"ncpu\", type=int,\n                        default=1, help=\"cpu number\")\n    parser.add_argument(\"--ffopt\", action=\"store_true\",\n                        help=\"enable ff optimization\")\n\n    options = parser.parse_args()\n    gen = options.gen\n    pop = options.pop\n    ncpu = options.ncpu\n    ffopt = options.ffopt\n    db_name, name = \"pyxtal/database/test.db\", \"ACSALA\"\n    wdir = name\n    os.makedirs(wdir, exist_ok=True)\n    os.makedirs(wdir + \"/calc\", exist_ok=True)\n\n    db = database(db_name)\n    row = db.get_row(name)\n    xtal = db.get_pyxtal(name)\n    smile, wt = row.mol_smi, row.mol_weight\n    spg = row.space_group.replace(\" \", \"\")\n    chm_info = None\n    if not ffopt:\n        if \"charmm_info\" in row.data:\n            # prepare charmm input\n            chm_info = row.data[\"charmm_info\"]\n            with open(wdir + \"/calc/pyxtal.prm\", \"w\") as prm:\n                prm.write(chm_info[\"prm\"])\n            with open(wdir + \"/calc/pyxtal.rtf\", \"w\") as rtf:\n                rtf.write(chm_info[\"rtf\"])\n        else:\n            if os.path.exists(\"parameters.xml\"):\n                os.remove(\"parameters.xml\")\n    # load reference xtal\n    pmg0 = xtal.to_pymatgen()\n    if xtal.has_special_site():\n        xtal = xtal.to_subgroup()\n    N_torsion = xtal.get_num_torsions()\n\n    # GO run\n    t0 = time()\n    go = WFS(\n        smile,\n        wdir,\n        xtal.group.number,\n        name.lower(),\n        info=chm_info,\n        ff_style=\"openff\",  # 'gaff',\n        ff_opt=ffopt,\n        N_gen=gen,\n        N_pop=pop,\n        N_cpu=ncpu,\n        cif=\"pyxtal.cif\",\n    )\n\n    suc_rate = go.run(pmg0)\n    print(f\"CSD {name} in Gen {go.generation}\")\n\n    if len(go.matches) > 0:\n        best_rank = go.print_matches()\n        mytag = f\"True {best_rank}/{go.N_struc} Succ_rate: {suc_rate:.4f}%\"\n    else:\n        mytag = f\"False 0/{go.N_struc}\"\n\n    eng = go.min_energy\n    t1 = int((time() - t0)/60)\n    strs = \"Final {:8s} [{:2d}]{:10s} \".format(name, sum(xtal.numMols), spg)\n    strs += \"{:3d}m {:2d} {:6.1f}\".format(t1, N_torsion, wt)\n    strs += \"{:12.3f} {:20s} {:s}\".format(eng, mytag, smile)\n    print(strs)\n"
  },
  {
    "path": "pyxtal/optimize/__init__.py",
    "content": "\"\"\"\nCrystal Samplers\n\"\"\"\n\nfrom .DFS import DFS\nfrom .WFS import WFS\nfrom .QRS import QRS\n"
  },
  {
    "path": "pyxtal/optimize/base.py",
    "content": "\"\"\"\nA base class for global optimization including:\n\n- WFS: Width First Sampling\n- DFS: Depth First Sampling\n- QRS: Quasi Random Sampling\n\"\"\"\nfrom __future__ import annotations\nfrom multiprocessing import Pool\nfrom multiprocessing import get_context\nfrom concurrent.futures import TimeoutError\nimport traceback\nimport signal\n\nimport logging\nimport os\nfrom time import time\nfrom typing import TYPE_CHECKING\n\nimport numpy as np\nfrom pymatgen.analysis.structure_matcher import StructureMatcher\nfrom numpy.random import Generator\n\nfrom pyxtal.molecule import find_rotor_from_smile, pyxtal_molecule\nfrom pyxtal.representation import representation\nfrom pyxtal.util import new_struc\nfrom pyxtal.optimize.common import optimizer, randomizer\nfrom pyxtal.optimize.common import optimizer_par, optimizer_single\nfrom pyxtal.lattice import Lattice\nfrom pyxtal.symmetry import Group\n\n\n\ndef setup_worker_logger(log_file):\n    \"\"\"\n    Set up the logger for each worker process.\n    \"\"\"\n    logging.getLogger().handlers.clear()\n    logging.basicConfig(format=\"%(asctime)s| %(message)s\",\n                        filename=log_file,\n                        level=logging.INFO)\n\n# Update run_optimizer_with_timeout to accept a logger\ndef run_optimizer_with_timeout(args, logger):\n    \"\"\"\n    Run the optimizer with a timeout.\n    This function will be executed by each process.\n    \"\"\"\n    def handler(signum, frame):\n        raise TimeoutError(\"Optimization timed out\")\n\n    # Set the timeout signal\n    cwd = os.getcwd()\n    timeout = int(args[-1])\n    #logger.info(f\"Rank-{args[-2]} entering optimizer_with_timeout\")\n    signal.signal(signal.SIGALRM, handler)\n    signal.alarm(timeout)\n    #logger.info(f\"Rank-{args[-2]} after signal\")\n\n    try:\n        if args[-2] > 0:\n            logger.info(f\"Rank-{args[-2]} running optimizer_par for PID {os.getpid()}\")\n        result = optimizer_par(*args[:-2])\n        if args[-2] > 0:\n            logger.info(f\"Rank-{args[-2]} finished optimizer_par for PID {os.getpid()}\")\n        signal.alarm(0)  # Disable the alarm\n        return result\n    except TimeoutError:\n        logger.info(f\"Rank-{args[-2]} Proc-{os.getpid()} timed out after {timeout} seconds.\")\n        os.chdir(cwd)\n        return None  # or some other placeholder for timeout results\n\n# Update process_task to accept a logger\ndef process_task(args):\n    logger = logging.getLogger()\n    #logger.info(f\"Rank {args[-2]} start process_task.\")\n    try:\n        result = run_optimizer_with_timeout(args, logger)\n        return result\n    except Exception as e:\n        error_trace = traceback.format_exc()\n        logger.error(f\"Process {os.getpid()} failed with error: {str(e)}\\n{error_trace}\")\n        return None\n\nclass GlobalOptimize:\n    \"\"\"\n    Base-class for all global optimization methods\n\n    Args:\n        smiles (str): smiles string\n        workdir (str): path of working directory\n        sg (int or list): space group number or list of spg numbers\n        tag (string): job prefix\n        ff_opt (bool): activate on the fly FF mode\n        ff_style (str): automated force style (`gaff` or `openff`)\n        ff_parameters (str or list): ff parameter xml file or list\n        reference_file (str): path of reference xml data for FF training\n        N_cpu (int): number of cpus for parallel calculation (default: `1`)\n        cif (str): cif file name to store all structure information\n        block: block mode\n        num_block: list of blocks\n        compositions: list of composition, (default is [1]*Num_mol)\n        lattice (bool): whether or not supply the lattice\n        torsions: list of torsion angle\n        molecules (list): list of pyxtal_molecule objects\n        sites (list): list of wp sites, e.g., [['4a']]\n        use_hall (bool): whether or not use hall number (default: False)\n        mlp (str): MACE | UMA | ANI\n        skip_mlp (bool): whether or not use mlp or not (default: True)\n        output_mlp (bool): whether or not output mlp relaxed structure (default: True)\n        eng_cutoff (float): the cutoff energy for FF training\n        E_max (float): maximum energy defined as an invalid structure\n        matcher : structurematcher from pymatgen\n        early_quit: whether quit the program early when the target is found\n        pre_opt: whether pre_optimize the structure or not\n    \"\"\"\n\n    def __init__(\n        self,\n        smiles: str,\n        workdir: str,\n        sg: int | list[int],\n        tag: str,\n        info: dict[any, any] | None = None,\n        ff_opt: bool = False,\n        ff_style: str = \"openff\",\n        ff_parameters: str = \"parameters.xml\",\n        reference_file: str = \"references.xml\",\n        ref_criteria: dict[any, any] | None = None,\n        N_cpu: int = 1,\n        cif: str | None = None,\n        block: list[any] | None = None,\n        num_block: list[any] | None = None,\n        composition: list[any] | None = None,\n        lattice: Lattice | None = None,\n        torsions: list[any] | None = None,\n        molecules: list[pyxtal_molecule] | None = None,\n        sites: list[any] | None = None,\n        use_hall: bool = False,\n        mlp: str = 'MACE',\n        skip_mlp: bool = True,\n        output_mlp: bool = True,\n        factor: float = 1.1,\n        eng_cutoff: float = 5.0,\n        E_max: float = 1e10,\n        random_state=None,\n        max_time: float | None = None,\n        matcher: StructureMatcher | None = None,\n        early_quit: bool = True,\n        check_stable: bool = False,\n        use_mpi: bool = False,\n        pre_opt: bool = False,\n    ):\n\n        self.ncpu = N_cpu\n        self.use_mpi = use_mpi\n        if self.use_mpi:\n            from mpi4py import MPI\n            self.comm = MPI.COMM_WORLD\n            self.rank = self.comm.Get_rank()\n            self.size = self.comm.Get_size()\n        else:\n            self.rank = 0\n            self.size = self.ncpu\n\n        # General information\n        if isinstance(random_state, Generator):\n            self.random_state = random_state.spawn(1)[0]\n        else:\n            self.random_state = np.random.default_rng(random_state)\n\n        # Molecular information\n        self.smile = smiles\n        self.smiles = self.smile.split(\".\")  # list\n        self.torsions = torsions\n        self.molecules = molecules\n        self.block = block\n        self.num_block = num_block\n        self.composition = [\n            1] * len(self.smiles) if composition is None else composition\n        self.N_torsion = 0\n        for smi, comp in zip(self.smiles, self.composition):\n            self.N_torsion += len(find_rotor_from_smile(smi)\n                                  ) * int(max([comp, 1]))\n\n        # Crystal information\n        self.pre_opt = pre_opt\n        self.sg = [sg] if isinstance(sg, (int, np.int64)) else sg\n        self.use_hall = use_hall\n        self.factor = factor\n        self.sites = sites\n        if lattice is None:\n            self.lattice = lattice\n        elif isinstance(lattice, Lattice):\n            self.lattice = lattice\n        else:\n            ltype = Group(self.sg[0]).lattice_type\n            if len(lattice) == 6:\n                self.lattice = Lattice.from_para(lattice, ltype=ltype)\n            else:\n                raise ValueError(\"input lattice is invalid\", lattice)\n        self.opt_lat = self.lattice is None\n        self.ref_criteria = ref_criteria\n        self.eng_cutoff = eng_cutoff\n\n        # Generation and Optimization\n        self.workdir = workdir\n        os.makedirs(self.workdir, exist_ok=True)\n        self.log_file = self.workdir + \"/loginfo\"\n        if self.rank > 0: self.log_file += f\"-{self.rank}\"\n\n        self.mlp = mlp\n        self.skip_mlp = skip_mlp\n        self.output_mlp = output_mlp\n        self.check_stable = check_stable\n        if not self.opt_lat:\n            self.check_stable = False\n\n        # setup timeout for each optimization call\n        self.max_time = max_time\n        if max_time is None:\n            if not self.skip_mlp:\n                max_time = 300.0\n            elif self.check_stable:\n                max_time = 300.0\n            else:\n                max_time = 60.0\n        self.timeout = max_time * self.N_pop / self.ncpu\n        self.ff_opt = ff_opt\n        self.ff_style = ff_style\n\n        # Setup logger\n        logging.getLogger().handlers.clear()\n        logging.basicConfig(format=\"%(asctime)s| %(message)s\",\n                            filename=self.log_file, level=logging.INFO)\n        self.logging = logging\n\n        if info is not None:\n            self.atom_info = info\n            self.parameters = None\n            self.ff_opt = False\n        else:\n            self.ff_parameters = self.workdir + \"/\" + ff_parameters\n            self.reference_file = self.workdir + \"/\" + reference_file\n            # Only call ForceFieldParameters once\n            # Just broadcast atom_info should be fine\n            # parameters = None\n            atom_info = None\n            if self.rank == 0:\n                from pyocse.parameters import ForceFieldParameters\n                self.parameters = ForceFieldParameters(self.smiles,\n                                                       style=ff_style,\n                                                       ncpu=self.ncpu)\n                if self.ff_opt:\n                    self.parameters.set_ref_evaluator('mace')\n\n                # Preload two set for FF parameters 1 for opt and 2 for refinement\n                if isinstance(self.ff_parameters, list):\n                    assert len(self.ff_parameters) == 2\n                    for para_file in self.ff_parameters:\n                        if not os.path.exists(para_file):\n                            raise RuntimeError(\"File not found\", para_file)\n                    params0, dic = self.parameters.load_parameters(\n                        self.ff_parameters[0])\n                    if \"ff_style\" in dic:\n                        assert dic[\"ff_style\"] == self.ff_style\n                    params1, dic = self.parameters.load_parameters(\n                        self.ff_parameters[1])\n                    if \"ff_style\" in dic:\n                        assert dic[\"ff_style\"] == self.ff_style\n                    atom_info = self._prep_chm_info(params0, params1)\n                else:\n                    if os.path.exists(self.ff_parameters):\n                        self.print(\"Preload the existing FF parameters from\",\n                                   self.ff_parameters)\n                        params0, _ = self.parameters.load_parameters(\n                            self.ff_parameters)\n                    else:\n                        self.print(\"No FF file exists, using the default\",\n                                   ff_style)\n                        params0 = self.parameters.params_init.copy()\n                        self.parameters.export_parameters(self.ff_parameters, params0)\n                    atom_info = self._prep_chm_info(params0, suffix='pyxtal')\n\n            if self.use_mpi:\n                # self.parameters = self.comm.bcast(parameters, root=0)\n                self.atom_info = self.comm.bcast(atom_info, root=0)\n            else:\n                self.atom_info = atom_info\n\n        # Structure matcher\n        if matcher is None:\n            self.matcher = StructureMatcher(ltol=0.3, stol=0.3, angle_tol=5.0)\n        else:\n            self.matcher = matcher\n\n        # I/O stuff\n        self.early_quit = early_quit\n        self.N_min_matches = 10  # The min_num_matches for early termination\n        self.E_max = E_max\n        self.tag = tag.lower()\n        self.suffix = f\"{self.workdir}/{self.name}-{self.ff_style}\"\n        if self.rank == 0:\n            if cif is None:\n                self.cif = self.suffix + '.cif'\n            else:\n                self.cif = self.suffix + cif\n\n            with open(self.cif, \"w\") as f:\n                f.writelines(str(self))\n            self.matched_cif = self.suffix + \"-matched.cif\"\n            # print(self)\n\n            # Some neccessary trackers\n            self.matches = []\n            self.best_reps = []\n            self.reps = []\n            self.engs = []\n            # Setup the stats [N_gen, Npop, (E, matches, stable)]\n            self.stats = np.zeros([self.N_gen, self.N_pop, 3])\n            self.stats[:, :, 0] = self.E_max\n\n    def print(self, *args, **kwargs):\n        \"\"\"Utility method to print only from rank 0.\"\"\"\n        if self.rank == 0:\n            print(*args, **kwargs)\n\n    def __str__(self):\n        s = \"\\n-------Global Crystal Structure Prediction------\"\n        s += f\"\\nsmile     : {self.smile:s}\"\n        s += f\"\\nZprime    : {self.composition!s:s}\"\n        s += f\"\\nN_torsion : {self.N_torsion:d}\"\n        s += f\"\\nsg        : {self.sg!s:s}\"\n        s += f\"\\nncpu      : {self.size:d}\"\n        s += f\"\\ndiretory  : {self.workdir:s}\"\n        s += f\"\\nopt_lat   : {self.opt_lat!s:s}\"\n        s += f\"\\nusp_mpi   : {self.use_mpi!s:s}\\n\"\n        s += f\"\\nmlp       : {self.mlp!s:s}\\n\"\n        if self.early_quit:\n            s += f\"Mode      : Production\\n\"\n        else:\n            s += f\"Mode      : Sampling\\n\"\n        s += f\"cif       : {self.cif:s}\\n\"\n        if self.ff_opt:\n            s += \"forcefield: Sample-training\\n\"\n        else:\n            s += \"forcefield: Predefined\\n\"\n\n\n        if self.parameters is not None:\n            s += f\"ff_style  : {self.ff_style:s}\\n\"\n            if isinstance(self.ff_parameters, list):\n                for para in self.ff_parameters:\n                    s += f\"ff_params : {para:s}\\n\"\n            else:\n                s += f\"ff_params : {self.ff_parameters:s}\\n\"\n            s += f\"references: {self.reference_file:s}\\n\"\n            s += str(self.parameters)\n\n        return s\n\n    def __repr__(self):\n        return str(self)\n\n    def new_struc(self, xtal, xtals):\n        return new_struc(xtal, xtals)\n\n    def run(self, ref_pmg=None, ref_pxrd=None):\n        \"\"\"\n        The main code to run Sampling\n\n        Args:\n            ref_pmg: reference pmg structure\n            ref_pxrd: reference pxrd profile in 2D array\n\n        Returns:\n            success_rate or None\n        \"\"\"\n        t0 = time()\n\n        if ref_pmg is not None: ref_pmg.remove_species(\"H\")\n        self.ref_pmg = ref_pmg\n        self.ref_pxrd = ref_pxrd\n\n        if self.ncpu > 1:\n            ctx = get_context(\"spawn\")  # safer than fork\n            pool = ctx.Pool(processes=self.ncpu,\n                        initializer=setup_worker_logger,\n                        initargs=(self.log_file,))\n        else:\n            pool = None\n\n        try:\n            results = self._run(pool)\n        except (EOFError, OSError) as e:\n            print(f\"Error in running the optimizer: {e}\")\n            pool.terminate()\n            pool.join()\n            return None\n\n        if self.rank == 0:\n            t = (time() - t0)/60\n            strs = f\"{self.name:s} {self.workdir} COMPLETED \"\n            strs += f\"in {t:.1f} mins {self.N_struc:d} strucs.\"\n            print(strs)\n\n        if self.use_mpi: self.comm.Barrier()\n        return results\n\n    def select_xtals(self, ref_xtals, ids, N_max):\n        \"\"\"\n        Select only unique structures\n        \"\"\"\n        xtals = []\n        for id in ids:\n            (xtal, _) = ref_xtals[id]\n            if xtal is not None and xtal.energy is not None and xtal.energy <= self.E_max and self.new_struc(xtal, xtals):\n                xtals.append(xtal)  # .to_ase(resort=False))\n            if len(xtals) == N_max:\n                break\n        # xtals = [xtal.to_ase(resort=False) for xtal in xtals]\n        return xtals\n\n    def count_pxrd_match(self, xtals, matches):\n        \"\"\"\n        Wrap up the matched PXRD results\n\n        Args:\n            xtals: list of (xtal, tag) tuples\n            matches (list): list of XRD matches\n\n        \"\"\"\n        gen = self.generation\n        for i, match in enumerate(matches):\n            if match > 0.85:\n                (xtal, tag) = xtals[i]\n                with open(self.matched_cif, \"a+\") as f:\n                    e = xtal.energy / sum(xtal.numMols)\n                    try:\n                        label = self.tag + \"-g\" + str(gen) + \"-p\" + str(i)\n                        label += f\"-e{e:.3f}-{tag:s}-{match:4.2f}\"\n                    except:\n                        print(\"Error in e, tag, match\", e, tag, match)\n                    f.writelines(xtal.to_file(header=label))\n                    self.matches.append((gen, i, xtal, e, match, tag))\n\n    def success_count(self, xtals, matches):\n        \"\"\"\n        Wrap up the matched results and count success rate.\n\n        Args:\n            xtals: list of (xtal, tag) tuples\n            matches (list): list of matches [True, False, ..]\n\n        Return:\n            success_rate\n        \"\"\"\n        gen = self.generation\n        for i, match in enumerate(matches):\n            if match:\n                (xtal, tag) = xtals[i]\n                with open(self.matched_cif, \"a+\") as f:\n                    res = self._print_match(xtal, self.ref_pmg)\n                    e, d1, d2 = xtal.energy/sum(xtal.numMols), res[0], res[1]\n                    try:\n                        den = xtal.get_density()\n                        spg = xtal.group.number\n                        label = self.tag + f\"-g{gen}-p{i}-{tag}-d{den:.3f}-spg{spg}\"\n                        label += f\"-e{e:.3f}-{tag:s}-{d1:.2f}-{d2:.2f}\"\n                    except:\n                        print(\"Error in e, tag, d1, d2\", e, tag, d1, d2)\n                    f.writelines(xtal.to_file(header=label))\n                    self.matches.append((gen, i, xtal, e, d1, d2, tag))\n\n        success_rate = len(self.matches) / self.N_struc * 100\n        gen_out = f\"Success rate @ Gen {gen:3d}: {success_rate:7.4f}%\"\n        self.logging.info(gen_out)\n        print(gen_out)\n\n        return success_rate\n\n    def early_termination(self, success_rate):\n        \"\"\"\n        Check if the calculation can be terminated early.\n        It is based on the success rate and number of matches.\n        \"\"\"\n        if success_rate > 0:\n            if self.early_quit:\n                msg = f\"Early termination since a match is found\"\n                print(msg)\n                self.logging.info(msg)\n                return True\n\n            elif success_rate > 2.5 or len(self.matches) >= self.N_min_matches:\n                msg = f\"Early termination with a high success rate\"\n                print(msg)\n                self.logging.info(msg)\n                return True\n        return False\n\n    def export_references(self, xtals, engs, N_min=50, dE=2.5, FMSE=2.5):\n        \"\"\"\n        Add trainning data for FF optimization\n\n        Args:\n            xtals: a list of pyxtals\n            engs: a list of energies\n            N_min (int): minimum number of configs to add\n            dE (float): the cutoff energy value\n            FMSE (float): the cutoff Force MSE value\n        \"\"\"\n        cwd = os.getcwd()\n        params, _ = self.parameters.load_parameters(self.ff_parameters)\n        N_max = min([int(self.N_pop * 0.6), 50])\n        ids = np.argsort(engs)\n        _xtals = self.select_xtals(xtals, ids, N_max)\n        print(\"Select structures for FF optimization\", len(_xtals))\n\n        # Initialize references\n        if os.path.exists(self.reference_file):\n            ref_dics = self.parameters.load_references(self.reference_file)\n            ref_ground_states = self.parameters.get_gs_from_ref_dics(ref_dics)\n        else:\n            ref_dics = []\n            ref_ground_states = []\n\n        # Add references\n        os.chdir(self.workdir)\n        if len(ref_dics) > 0 and self.check:\n            ref_dics = self.parameters.cut_references_by_error(ref_dics,\n                                                               params,\n                                                               dE=dE,\n                                                               FMSE=FMSE)\n            if self.ref_criteria is not None:\n                ref_dics = self.parameters.clean_ref_dics(\n                        ref_dics, self.ref_criteria)\n\n        t0 = time()\n        N_selected = min([N_min, self.ncpu, 20])\n        _ref_dics = self.parameters.add_references(_xtals,\n                                                   ref_ground_states,\n                                                   N_selected)\n        # print(f\"Current number of ref. structures: {len(ref_dics)}\")\n        # print(f\"Pick {len(_ref_dics)} ref. data for agumentation\")\n        # print(_ref_dics); import sys; sys.exit()\n\n        ref_dics.extend(_ref_dics)\n        aug_dics = self.parameters.augment_references(_ref_dics)\n        ref_dics.extend(aug_dics)\n        t1 = (time() - t0) / 60\n        print(f\"Ref. update usage: {len(_ref_dics)}/{len(aug_dics)} strucs in {t1:.2f} min\")\n\n        ff_dics, ref_dics = self.parameters.evaluate_ff_references(ref_dics, params)\n        if abs(params[-1]) < 1e-3:\n            params = self.parameters.optimize_offset(ref_dics, ff_dics)\n            self.parameters.update_ff_parameters(params)\n            self.parameters.export_parameters(self.ff_parameters.split('/')[-1])\n            for ff_dic in ff_dics: ff_dic['energy'] += params[-1]\n\n        # Export FF performances\n        gen_prefix = self.get_label(self.generation, 'gen_')\n        performance_fig = f\"FF_performance_{gen_prefix}.png\"\n        self.parameters.plot_ff_results(performance_fig,\n                                        ref_dics,\n                                        [params],\n                                        labels=gen_prefix,\n                                        ff_dics=ff_dics)\n        t2 = (time() - t0) / 60 - t1\n        print(f\"FF performance eval. usage in {t2:.2f} min\")\n        os.chdir(cwd)\n\n        self.parameters.export_references(ref_dics, self.reference_file)\n\n\n    def _prep_chm_info(self, params0, params1=None, folder=\"calc\", suffix=\"pyxtal0\"):\n        \"\"\"\n        Prepare charmm_info from the given params.\n\n        Args:\n            params0 (array or list): FF parameters array\n            params1 (array or list): FF parameters array\n            folder (str): folder path\n            suffix (str): suffix of the temporary file\n\n        Returns:\n            atom_info\n        \"\"\"\n        pwd = os.getcwd()\n        os.chdir(self.workdir)\n        if not os.path.exists(folder):\n            os.mkdir(folder)\n        suffix = folder + '/' + suffix\n\n        # To remove the old pyxtal1 files\n        if os.path.exists(suffix + \".rtf\"):\n            os.remove(suffix + \".rtf\")\n        if os.path.exists(suffix + \".prm\"):\n            os.remove(suffix + \".prm\")\n\n        ase_with_ff = self.parameters.get_ase_charmm(params0)\n        ase_with_ff.write_charmmfiles(base=suffix)\n        if params1 is not None:\n            ase_with_ff = self.parameters.get_ase_charmm(params1)\n            ase_with_ff.write_charmmfiles(base=suffix)\n        os.chdir(pwd)\n\n        # Return the atom_info\n        return ase_with_ff.get_atom_info()\n\n    def get_label(self, i, label='cpu'):\n        if i < 10:\n            folder = f\"{label}00{i}\"\n        elif i < 100:\n            folder = f\"{label}0{i}\"\n        else:\n            folder = f\"{label}0{i}\"\n        return folder\n\n    def print_matches(self, header=None):\n        \"\"\"\n        Formatted output for the matched structures with xtal rep.\n        \"\"\"\n        if self.rank == 0:\n            all_engs = np.sort(np.array(self.engs))\n            ranks = []\n            xtals = []\n            if self.ref_pxrd is not None:\n                matches = sorted(\n                    self.matches, key=lambda x: -x[4])  # similarity\n            else:\n                print(self.matches)\n                matches = sorted(self.matches, key=lambda x: x[3]) # eng\n\n            for match_data in matches:\n                d1, match = None, None\n                if self.ref_pxrd is not None:\n                    (_, id, xtal, e, match, tag) = match_data\n                    add = self.new_struc(xtal, xtals)\n                    if add:\n                        xtals.append(xtal)\n                else:\n                    (_, id, xtal, e, d1, d2, tag) = match_data\n                    add = True\n\n                if add:\n                    rep0 = xtal.get_1D_representation()\n                    if header is not None:\n                        strs = header\n                    else:\n                        strs = \"\"\n                    strs += rep0.to_string(eng=xtal.energy / sum(xtal.numMols))\n                    if d1 is not None:\n                        strs += f\"{d1:6.3f}{d2:6.3f} Match \"\n                    if match is not None:\n                        strs += f\" {match:4.2f} \"\n\n                    if e is not None:\n                        rank = len(all_engs[all_engs < (e - 1e-3)]) + 1\n                        strs += f\" {rank:d}/{self.N_struc:d} {tag:s}\"\n                        ranks.append(rank)\n\n                    print(strs)\n            if len(ranks) == 0:\n                ranks = [0]\n            return min(ranks)\n\n    def _print_match(self, xtal, ref_pmg):\n        \"\"\"\n        Print the matched structure\n\n        Args:\n            xtal: pyxtal object\n            ref_pmg: reference pmg structure\n        \"\"\"\n\n        rep0 = xtal.get_1D_representation()\n        pmg_s1 = xtal.to_pymatgen()\n        pmg_s1.remove_species(\"H\")\n        strs = rep0.to_string(eng=xtal.energy / sum(xtal.numMols))\n        rmsd = self.matcher.get_rms_dist(ref_pmg, pmg_s1)\n        if rmsd is not None:\n            strs += f\"{rmsd[0]:6.3f}{rmsd[1]:6.3f} Match Ref\"\n            print(strs)\n            return rmsd[0], rmsd[1]\n        else:\n            return None, None\n\n    def _apply_gaussian(self, reps, engs, h1=0.1, h2=0.1, w1=0.2, w2=3):\n        \"\"\"\n        Apply Gaussian to discourage the sampling of already visited configs.\n        Consider both lattice abc and torsion\n\n        Args:\n            reps: list of representations\n            engs: list of energies\n            h1 (float): height of Gaussian for lattice\n            h2 (float): height of Gaussian for torsion\n            w1 (float): width of Gaussian for lattice\n            w2 (float): width of Gaussian for torsion\n        \"\"\"\n        from copy import deepcopy\n\n        # check torsion\n        N_id = 8\n        engs_gau = deepcopy(engs)\n        for i, rep in enumerate(reps):\n            gau = 0\n            if rep is not None and engs[i] < 9999:\n                sg1, abc1 = rep[0][0], np.array(rep[0][1:])\n                tor1 = np.zeros(self.N_torsion)\n                count = 0\n                for j in range(1, len(rep)):\n                    if len(rep[j]) > N_id:  # for Cl-\n                        tor1[count: count +\n                             len(rep[j]) - N_id - 1] = rep[j][N_id:-1]\n                        count += len(rep[j]) - N_id\n\n                for ref in self.best_reps:\n                    sg2, abc2 = ref[0][0], np.array(ref[0][1:])\n                    # Cell\n                    g1 = 0\n                    if sg1 == sg2:\n                        diff1 = np.sum((abc1 - abc2) ** 2) / w1**2\n                        g1 = h1 * np.exp(-0.5 * diff1)  # cell\n                    # Torsion\n                    g2 = 0\n                    if len(tor1) > 0:\n                        tor2 = np.zeros(self.N_torsion)\n                        count = 0\n                        for j in range(1, len(rep)):\n                            if len(rep[j]) > N_id:  # for Cl-\n                                tor2[count: count +\n                                     len(ref[j]) - N_id - 1] = ref[j][N_id:-1]\n                                count += len(ref[j]) - N_id\n\n                        diff2 = np.sum((tor1 - tor2) ** 2) / w2**2\n                        g2 = h2 * np.exp(-0.5 * diff2)  # torsion\n                    gau += g1 + g2\n                # if gau > 1e-2: print(sg1, diag1, abc1, tor1)\n            # print(\"Gaussian\", i, \"eng\", engs[i], \"gau\", gau)\n            # import sys; sys.exit()\n            engs_gau[i] += gau\n        return np.array(engs_gau)\n\n    def check_ref(self, reps=None, reference=None, filename=\"pyxtal.cif\"):\n        \"\"\"\n        Check if ground state structure is found.\n\n        Args:\n            reps: list of representations\n            refernce: [pmg, eng]\n            filename: filename\n        \"\"\"\n        if os.path.exists(filename): os.remove(filename)\n\n        if reference is not None:\n            [pmg0, eng] = reference\n            pmg0.remove_species(\"H\")\n            print(\"check if ground state structure is found\")\n\n            if reps is None:\n                reps = np.array(self.reps)\n\n            if eng is None:\n                eng = np.min(reps[:, -1]) + 0.25\n\n            reps = reps[reps[:, -1] < (eng + 0.1)]\n            ids = np.argsort(reps[:, -1])\n            reps = reps[ids]\n            new_reps = []\n            for rep in reps:\n                eng1 = rep[-1]\n                rep0 = representation(rep[:-1], self.smiles)\n                xtal = rep0.to_pyxtal()\n                pmg_s1 = xtal.to_pymatgen()\n                pmg_s1.remove_species(\"H\")\n                new = True\n                for ref in new_reps:\n                    eng2 = ref[-1]\n                    pmg_s2 = representation(\n                        rep[:-1], self.smiles).to_pyxtal().to_pymatgen()\n                    pmg_s2.remove_species(\"H\")\n                    if abs(eng1 - eng2) < 1e-2 and self.matcher().fit(pmg_s1, pmg_s2):\n                        new = False\n                        break\n                if new:\n                    new_reps.append(rep)\n                    header = f\"{len(new_reps):d}: {eng1:12.4f}\"\n                    xtal.to_file(filename, header=header, permission=\"a+\")\n                    strs = rep0.to_string(eng=eng1)\n                    rmsd = self.matcher.get_rms_dist(pmg0, pmg_s1)\n                    if rmsd is not None:\n                        strs += f\"{rmsd[0]:6.3f}{rmsd[1]:6.3f} True\"\n                        print(strs)\n                        return True\n                    else:\n                        print(strs)\n        return False\n\n    def _get_local_optimization_args(self):\n        \"\"\"\n        Get the arguments for the local optimization\n        \"\"\"\n        args = [\n            randomizer,\n            optimizer,\n            self.smiles,\n            self.block,\n            self.num_block,\n            self.atom_info,\n            self.workdir + \"/\" + \"calc\",\n            self.sg,\n            self.composition,\n            self.lattice,\n            self.torsions,\n            self.molecules,\n            self.sites,\n            self.ref_pmg,\n            self.matcher,\n            self.ref_pxrd,\n            self.use_hall,\n            self.mlp,\n            self.skip_mlp,\n            self.output_mlp,\n            self.check_stable,\n            self.pre_opt,\n        ]\n        return args\n\n    def local_optimization(self, xtals, qrs=False, pool=None):\n        \"\"\"\n        Perform MPI optimization for each structure in each generation.\n\n        Args:\n            xtals : list of (xtal, tag) tuples\n            qrs (bool): Force mutation or not (related to QRS)\n        \"\"\"\n        if self.use_mpi:\n            return self.local_optimization_mpi(xtals, qrs=qrs, pool=pool)\n        elif self.ncpu == 1:\n            return self.local_optimization_serial(xtals, qrs)\n        else:\n            print(f\"Local optimization by multi-threads {self.ncpu}\")\n            return self.local_optimization_mproc(xtals, self.ncpu, qrs=qrs, pool=pool)\n\n    def local_optimization_serial(self, xtals, qrs=False):\n        \"\"\"\n        Perform optimization for each structure in each generation.\n\n        Args:\n            xtals : list of (xtal, tag) tuples\n            qrs (bool): Force mutation or not (related to QRS)\n        \"\"\"\n        args = self._get_local_optimization_args()\n        gen = self.generation\n        gen_results = [(None, None, None)] * len(xtals)\n        for pop in range(len(xtals)):\n            xtal = xtals[pop][0]\n            job_tag = self.tag + \"-g\" + str(gen) + \"-p\" + str(pop)\n            if qrs:\n                mutated = False\n            else:\n                if xtals[pop][1] == \"Mutation\":\n                    mutated = True\n                else:\n                    mutated = False\n            my_args = [xtal, pop, mutated, job_tag, *args]\n            xtal, match, stable = optimizer_single(*tuple(my_args))\n            gen_results[pop] = (pop, xtal, match, stable)\n        return gen_results\n\n    def local_optimization_mpi(self, xtals, qrs, pool):\n        \"\"\"\n        Perform MPI optimization for each structure in each generation.\n\n        Args:\n            xtals : list of (xtal, tag) tuples\n            qrs (bool): Force mutation or not (related to QRS)\n        \"\"\"\n        #t0 = time()\n        gen = self.generation\n        self.print(\"Local optimization enabled by MPI\", self.size, self.ncpu)\n\n        # Distribute args_lists across available ranks (processes)\n        local_xtals = xtals[self.rank::self.size]\n\n        local_ids = list(range(self.N_pop))[self.rank::self.size]\n\n        # Call local_optimization_mproc\n        self.logging.info(f\"Rank {self.rank} gets {len(local_xtals)} strucs\")\n        results = self.local_optimization_mproc(local_xtals,\n                                                self.ncpu,\n                                                local_ids,\n                                                qrs,\n                                                pool)\n        # Synchronize before gathering\n        self.logging.info(f\"Rank {self.rank} finish local_optimization_mproc\")\n        self.comm.Barrier()\n\n        # Gather all results at the root process\n        self.logging.info(f\"Rank {self.rank} in MPI_Gather at gen {gen}\")\n        all_results = self.comm.gather(results, root=0)\n        self.logging.info(f\"Rank {self.rank} done MPI_Gather at gen {gen}\")\n\n        # If root process, process the results\n        gen_results = None\n        if self.rank == 0:\n            gen_results = [(None, None, None)] * len(xtals)\n            for result_set in all_results:\n                for res in result_set:\n                    (id, xtal, match, stable) = res\n                    gen_results[id] = (id, xtal, match, stable)\n\n        # Broadcast\n        self.logging.info(f\"Rank {self.rank} MPI_bcast at gen {gen}\")\n        gen_results = self.comm.bcast(gen_results, root=0)\n\n        return gen_results\n\n    def local_optimization_mproc(self, xtals, ncpu, ids=None, qrs=False, pool=None):\n        \"\"\"\n        Perform optimization for each structure in multiprocess mode.\n\n        Args:\n            xtals : list of (xtal, tag) tuples\n            ncpu (int): number of parallel python processes\n            ids (list): list of ids of the associated xtals\n            qrs (bool): Force mutation or not (related to QRS)\n        \"\"\"\n        gen = self.generation\n        args = self._get_local_optimization_args()\n        if ids is None:\n            ids = range(len(xtals))\n\n        N_cycle = int(np.ceil(len(xtals) / ncpu))\n        # Generator to create arg_lists for multiprocessing tasks\n        def generate_args_lists():\n            for i in range(ncpu):\n                id1 = i * N_cycle\n                id2 = min([id1 + N_cycle, len(xtals)])\n                _ids = ids[id1: id2]\n                job_tags = [self.tag + \"-g\" + str(gen)\n                            + \"-p\" + str(id) for id in _ids]\n                _xtals = [xtals[id][0] for id in range(id1, id2)]\n                mutates = []\n                for i in range(id1, id2):\n                    if qrs:\n                        mutates.append(False)\n                    else:\n                        if xtals[i][1] == \"Mutation\":\n                            mutates.append(True)\n                        else:\n                            mutates.append(False)\n                #mutates = [False if qrs else xtal is not None for xtal in _xtals]\n                my_args = [_xtals, _ids, mutates, job_tags, *args, self.rank, self.timeout]\n                yield tuple(my_args)  # Yield args instead of appending to a list\n\n        gen_results = []\n        for result in pool.imap_unordered(process_task, generate_args_lists()):\n            if result is not None:\n                for _res in result:\n                    gen_results.append(_res)\n\n        return gen_results\n\n    def gen_summary(self, t0, gen_results, xtals):\n        \"\"\"\n        Write the generic summary for each generation.\n\n        Args:\n            t0 (float): time stamp\n            gen_results: list of results (id, xtal, match, stable)\n            xtals: list of (xtal, tag) tuples\n        \"\"\"\n        matches = [False] if self.ref_pxrd is None else [0.0]\n        matches *= self.N_pop\n        stables = [False] * self.N_pop\n\n        eng0s = [self.E_max] * self.N_pop\n        reps = [None] * self.N_pop\n        new_xtals = [(None, None)] * len(xtals)\n        gen = self.generation\n\n        for res in gen_results:\n            (id, xtal, match, stable) = res\n\n            if xtal is not None:\n                new_xtals[id] = (xtal, xtals[id][1])\n                eng0s[id] = xtal.energy / sum(xtal.numMols)\n                reps[id] = xtal.get_1D_representation()\n                matches[id] = match\n                stables[id] = stable\n\n                # Don't write bad structure\n                if self.cif is not None and xtal.energy < 9999:\n                    if self.verbose:\n                        print(\"Add structure\", id, xtal.energy)\n                    with open(self.cif, \"a+\") as f:\n                        eng = abs(xtal.energy / sum(xtal.numMols))\n                        den = xtal.get_density()\n                        spg = xtal.group.number\n                        tag = xtals[id][1]\n                        label = self.tag + f\"-g{gen}-p{id}-{tag}-d{den:.3f}-spg{spg}-e{eng:.3f}\"\n                        f.writelines(xtal.to_file(header=label))\n                self.engs.append(xtal.energy / sum(xtal.numMols))\n                self.stats[gen, id, 0] = xtal.energy / sum(xtal.numMols)\n                self.stats[gen, id, 1] = match\n                self.stats[gen, id, 2] = stable\n\n        self.min_energy = np.min(np.array(self.engs))\n        self.N_struc = len(self.engs)\n        if self.check_stable:\n            N_stable = int(self.stats[:gen+1, :, 2].sum())\n            strs = f\"Generation-{gen} finishes {N_stable}/{len(self.engs)} stable strucs\"\n        else:\n            strs = f\"Generation-{gen} finishes {self.N_pop}/{len(self.engs)} strucs\"\n        print(strs)\n        self.logging.info(strs)\n\n        t1 = time()\n\n        # Apply Gaussian\n        reps_x = [rep.x if rep is not None else None for rep in reps]\n        if self.ref_pxrd is None:\n            engs = self._apply_gaussian(reps_x, eng0s)\n        else:\n            engs = self._apply_gaussian(reps_x, -1 * np.array(matches))\n\n        # Store the best structures\n        count = 0\n        ref_xtals = []\n        ids = np.argsort(engs)\n        for id in ids:\n            (xtal, tag) = new_xtals[id]\n            rep, eng = reps[id], eng0s[id]\n            if self.new_struc(xtal, ref_xtals):\n                ref_xtals.append(xtal)\n                self.best_reps.append(rep.x)\n                # d_rep = representation(rep, self.smiles)\n                tag = f\"{tag:8s}\"\n                try:\n                    strs = rep.to_string(None, eng, tag)\n                    out = f\"{gen:3d} {strs:s} Top\"\n                    if self.ref_pxrd is not None:\n                        out += f\" {matches[id]:6.3f}\"\n                    print(out)\n                except:\n                    print('Error', xtal)\n                count += 1\n            if count == 3:\n                break\n\n        t2 = time()\n        gen_out = f\"Gen{gen:3d} time usage: \"\n        gen_out += f\"{t1 - t0:5.1f}[Calc] {t2 - t1:5.1f}[Proc]\"\n        print(gen_out)\n\n        return new_xtals, matches, engs\n\n    def plot_results(self, save=True, figsize=(8.0, 5.0), figname=None, ylim=None):\n        \"\"\"\n        Plot the results\n\n        Args:\n            save (bool): whether or not save the data\n            figsize: e.g. (8.5, 5.0)\n            figname (str):\n            ylim: e.g. (0, 1.0)\n        \"\"\"\n        if self.rank == 0:\n            import matplotlib.pyplot as plt\n            import seaborn as sns\n            sns.set_theme()\n            sns.set_context(\"talk\", font_scale=0.9)\n\n            if figname is None:\n                figname = self.suffix + \"-results.png\"\n\n            data1 = []\n            data2 = []\n            # Extract (pop_id, eng, gen_id) when pxrd is False\n            # Extract (pop_id, eng, sim) when pxrd is True\n            for i in range(self.N_gen):\n                for j in range(self.N_pop):\n                    if self.ref_pxrd is not None:\n                        data1.append(\n                            [i, j, self.stats[i, j, 0], self.stats[i, j, 1]])\n                    else:\n                        data1.append([i, j, self.stats[i, j, 0]])\n\n            for match in self.matches:\n                if self.ref_pxrd is not None:\n                    data2.append([match[0], match[1], match[3], match[4]])\n                else:\n                    data2.append([match[0], match[1], match[3]])\n\n            fig = plt.figure(figsize=figsize)\n            plt.ylabel(\"Lattice Energy (kcal)\")  # , weight='bold')\n            data1 = np.array(data1)\n            if self.ref_pxrd is not None:\n                # (similarity, eng, gen_id)\n                x1, y1, z1 = data1[:, 3], data1[:, 2], data1[:, 0]\n                plt.xlabel(\"XRD Similarity\")  # , weight='bold')\n            else:\n                x1, y1, z1 = data1[:, 1], data1[:, 2], data1[:, 0]\n                plt.xlabel(\"Population ID\")  # , weight='bold')\n            # Plot of all samples (PopID, Engs/Similarity)\n            scatter = plt.scatter(x1, y1, s=10, c=z1,\n                                  cmap='winter', alpha=0.5, label='Samples')\n            cbar = plt.colorbar(scatter)\n            cbar.set_label('Generation ID')  # , weight='bold')\n            if ylim is None:\n                y1 = np.array(y1)\n                ymin = y1.min() - 0.25\n                ymax = min([ymin + 10.0, y1.max()])\n                ylim = (ymin, ymax)\n\n            if len(data2) > 0:\n                data2 = np.array(data2)\n                if len(data2.shape) == 1:\n                    data2 = data2.reshape(-1, 1)\n                if self.ref_pxrd is not None:\n                    x2, y2, z2 = data2[:, 3], data2[:, 2], data2[:, 0]\n                else:\n                    x2, y2, z2 = data2[:, 1], data2[:, 2], data2[:, 0]\n                plt.scatter(x2, y2, s=10, c='red', marker='x', label='Matches')\n\n            plt.legend(loc=1)  # , prop={'weight': 'bold'})\n            plt.ylim(ylim)\n            plt.title(f\"{self.name:s}-{self.ff_style:s}\")  # , weight='bold')\n            plt.tight_layout()\n            plt.savefig(figname)\n\n            if save:\n                if self.ref_pxrd is not None:\n                    header = \"#Generation, Population, Energy, Similarity\"\n                else:\n                    header = \"#Generation, Population, Energy\"\n                data_txt = self.suffix + \"-data.txt\"\n                np.savetxt(data_txt, data1, header=header)\n\n                if len(data2) > 0:\n                    match_txt = self.suffix + \"-match.txt\"\n                    np.savetxt(match_txt, data2, header=header)\n\n    def save(self, filename):\n        \"\"\"\n        Save the base class\n        \"\"\"\n        if self.rank == 0:\n            import xml.etree.ElementTree as ET\n            from pyxtal.util import prettify\n\n            root = ET.Element(\"GO\")\n            ET.SubElement(root, \"smile\").text = self.smile\n            ET.SubElement(root, \"tag\").text = self.tag\n            ET.SubElement(root, \"cif\").text = self.cif\n            ET.SubElement(root, \"workdir\").text = self.workdir\n            ET.SubElement(root, \"reference_file\").text = self.reference_file\n            ET.SubElement(root, \"ff_style\").text = self.ff_style\n            ET.SubElement(root, \"ff_parameters\").text = self.ff_parameters\n\n            ET.SubElement(root, \"sg\").text = str(self.sg)\n            ET.SubElement(root, \"N_pop\").text = str(self.N_pop)\n            ET.SubElement(root, \"N_gen\").text = str(self.N_gen)\n            ET.SubElement(root, \"E_max\").text = str(self.E_max)\n            ET.SubElement(root, \"early_quit\").text = str(self.early_quit)\n            ET.SubElement(root, \"ff_opt\").text = str(self.ff_opt)\n            ET.SubElement(root, \"use_mpi\").text = str(self.use_mpi)\n            ET.SubElement(root, \"verbose\").text = str(self.verbose)\n            ET.SubElement(root, \"mlp\").text = str(self.mlp)\n            ET.SubElement(root, \"skip_mlp\").text = str(self.skip_mlp)\n            ET.SubElement(root, \"output_mlp\").text = str(self.output_mlp)\n            ET.SubElement(root, \"check_stable\").text = str(self.check_stable)\n            ET.SubElement(root, \"pre_opt\").text = str(self.pre_opt)\n            ET.SubElement(root, \"use_hall\").text = str(self.use_hall)\n            ET.SubElement(root, \"N_cpu\").text = str(self.ncpu)\n            ET.SubElement(root, \"factor\").text = str(self.factor)\n            ET.SubElement(root, \"eng_cutoff\").text = str(self.eng_cutoff)\n            ET.SubElement(root, \"max_time\").text = str(self.max_time)\n            ET.SubElement(root, \"fracs\").text = str(self.fracs)\n            ET.SubElement(root, \"composition\").text = str(self.composition)\n            ET.SubElement(root, \"lattice\").text = arr_to_text(self.lattice)\n            #ET.SubElement(basic, \"sites\").text = str(self.sites)\n            #ET.SubElement(basic, \"torsions\").text = self.torsions\n            #ET.SubElement(basic, \"ref_criteria\").text = str(None) #self.ref_criteria\n            # Use prettify to get a pretty-printed XML string\n            pretty_xml = prettify(root)\n            with open(filename, \"w\") as f:\n                f.writelines(pretty_xml)\n\ndef load_xml(filename, tag='GO'):\n    \"\"\"\n    Load the base class\n    \"\"\"\n    import xml.etree.ElementTree as ET\n\n    if os.path.exists(filename):\n        tree = ET.parse(filename)\n        basic = tree.getroot()\n\n        # Strings\n        smile = basic.find(\"smile\").text\n        tag = basic.find(\"tag\").text\n        early_quit = basic.find(\"early_quit\").text\n        ff_style = basic.find(\"ff_style\").text\n        workdir = basic.find(\"workdir\").text\n        reference_file = basic.find(\"reference_file\").text.split('/')[-1]\n        ff_parameters = basic.find(\"ff_parameters\").text.split('/')[-1]\n        cif = basic.find(\"cif\").text.split('/')[-1]\n\n        # Boolean\n        ff_opt = text_to_bool(basic.find(\"ff_opt\").text)\n        use_mpi = text_to_bool(basic.find(\"use_mpi\").text)\n        verbose = text_to_bool(basic.find(\"verbose\").text)\n        mlp = text_to_bool(basic.find(\"mlp\").text)\n        skip_mlp = text_to_bool(basic.find(\"skip_mlp\").text)\n        output_mlp = text_to_bool(basic.find(\"output_mlp\").text)\n        check_stable = text_to_bool(basic.find(\"check_stable\").text)\n        pre_opt = text_to_bool(basic.find(\"pre_opt\").text)\n        use_hall = text_to_bool(basic.find(\"use_hall\").text)\n\n        # Numbers\n        N_cpu = int(basic.find(\"N_cpu\").text)\n        N_pop = int(basic.find(\"N_pop\").text)\n        N_gen = int(basic.find(\"N_gen\").text)\n        E_max = float(basic.find(\"E_max\").text)\n        eng_cutoff = float(basic.find(\"eng_cutoff\").text)\n        factor = float(basic.find(\"factor\").text)\n        sg = text_to_list(basic.find(\"sg\").text, int)\n        fracs = text_to_arr(basic.find(\"fracs\").text, float)\n        composition = text_to_arr(basic.find(\"composition\").text, float)\n        lattice = text_to_2darr(basic.find(\"lattice\").text)\n        max_time = text_to_float(basic.find(\"max_time\").text)\n        # sites = basic.find(\"sites\").text\n        # print(smile, tag, cif, workdir, sg, ff_opt, ff_style, ff_parameters, reference_file, N_gen, N_pop, N_cpu, fracs, cif, composition, lattice, use_hall, skip_ani, factor, eng_cutoff, E_max, verbose, max_time, early_quit, check_stable, use_mpi, pre_opt)\n        return (smile, workdir, sg, tag, None, ff_opt, ff_style,\n                ff_parameters, reference_file, None, N_gen,\n                N_pop, N_cpu, fracs, cif, None, None,\n                composition, lattice, None, None, None,\n                use_hall, mlp, skip_mlp, output_mlp, factor, eng_cutoff, E_max,\n                verbose, None, max_time, None, early_quit,\n                check_stable, use_mpi, pre_opt)\n    else:\n        raise ValueError(\"No such file\", filename, os.getcwd())\n\ndef text_to_list(text, dtype=float):\n    \"\"\"\n    Convert a text to a list\n    In the form of \"[1 2 3]\"\n    \"\"\"\n    text = text.replace(\"[\", \"\").replace(\"]\", \"\")\n    if text == 'None':\n        return None\n    else:\n        return [dtype(i) for i in text.split()]\n\ndef text_to_arr(text, dtype=float):\n    \"\"\"\n    Convert a text to an array\n    \"\"\"\n    if text == 'None':\n        return None\n    else:\n        text = text.replace(\"[\", \"\").replace(\"]\", \"\")\n        return np.array([dtype(i) for i in text.split()])\n\ndef text_to_2darr(text, dtype=float):\n    \"\"\"\n    Convert a text to an 2D array\n    \"\"\"\n    if text == 'None':\n        return None\n    else:\n        text = text.replace(\"[\", \"\").replace(\"]\", \"\")\n        return np.array([[dtype(j) for j in i.split()] for i in text.splitlines()])\n\ndef text_to_float(text):\n    \"\"\"\n    Convert a text to a float\n    \"\"\"\n    if text == 'None':\n        return None\n    else:\n        return float(text)\n\ndef text_to_bool(text):\n    \"\"\"Convert text string to boolean value\"\"\"\n    if text.lower() == 'true':\n        return True\n    elif text.lower() == 'false':\n        return False\n    else:\n        raise ValueError(f\"Invalid boolean string: {text}\")\n\ndef arr_to_text(arr):\n    \"\"\"\n    Convert a 2D array to a text\n    \"\"\"\n    if arr is None:\n        return 'None'\n    elif len(arr.shape) == 1:\n        return ' '.join([str(i) for i in arr])\n    else:\n        return '\\n'.join([' '.join([str(j) for j in i]) for i in arr])\n\nif __name__ == \"__main__\":\n    print(\"test\")\n"
  },
  {
    "path": "pyxtal/optimize/benchmark.py",
    "content": "import os\nfrom time import time\nimport pymatgen.analysis.structure_matcher as sm\nfrom pyxtal import pyxtal\nfrom pyxtal.interface.charmm import CHARMM\nfrom pyxtal.interface.dftb import DFTB, DFTB_relax\nfrom pyxtal.interface.gulp import GULP_OC as GULP_relax\nfrom pyxtal.msg import ReadSeedError\nfrom pyxtal.representation import representation\nfrom pyxtal.util import ase2pymatgen\n\n\nclass benchmark:\n    \"\"\"\n    Automated benchmark for experimental crystals with\n        - VASP\n        - DFTB\n        - ANI\n        - GULP\n        - CHARMM\n    \"\"\"\n\n    def __init__(self, struc, smiles, clean=True, work_dir=\"tmp\", **kwargs):\n        \"\"\"\n        Args:\n            struc: pymatgen structure or filename\n            smiles: list of smile codes\n            skf_dir (optional): DFTB parameter directory\n            charmm_info (optional): list of atom labels\n            charmm_prm (optional): charmm prm file\n            charmm_rtf (optional): charmm rtf file\n            gulp_info (optional): gulp charge/label info\n            clean: whether or not clean up tmp files\n        \"\"\"\n        self.clean = clean\n        self.valid = True\n        self.work_dir = work_dir\n        if not os.path.exists(work_dir):\n            os.makedirs(work_dir)\n\n        for i in range(len(smiles)):\n            if not smiles[i].endswith(\".smi\"):\n                smiles[i] = smiles[i] + \".smi\"\n        self.smiles = smiles\n\n        xtal = pyxtal(molecular=True)\n        try:\n            try:\n                xtal.from_seed(struc, molecules=smiles)\n            except ReadSeedError:\n                xtal.from_seed(struc, molecules=smiles, add_H=True)\n\n            # Check if it needs to transform to subgroup representation\n            if xtal.has_special_site():\n                xtal = xtal.to_subgroup()\n            # initialize dicts\n            self.xtal = {}\n            self.rep = {}\n            self.time = {}\n            self.energy = {}\n            self.pmg = {}\n            self.ase = {}\n            self.diff = {}\n            self.Z = sum(xtal.numMols)\n            self.xtal[\"reference\"] = xtal\n            self.rep[\"reference\"] = representation.from_pyxtal(xtal).x\n            self.ase[\"reference\"] = xtal.to_ase(resort=True)\n            self.pmg[\"reference\"] = xtal.to_pymatgen()\n            self.pmg[\"reference\"].remove_species(\"H\")  # remove hydrogen\n        except ReadSeedError:\n            print(\"Fail to read crystal\")\n            self.valid = False\n\n        # set up the optional parameters\n        if \"skf_dir\" in kwargs:\n            self.skf_dir = kwargs.pop(\"skf_dir\")\n\n        if \"charmm_info\" in kwargs:\n            self.charmm_info = kwargs.pop(\"charmm_info\")\n\n        if \"charmm_prm\" in kwargs:\n            self.charmm_prm = kwargs.pop(\"charmm_prm\")\n\n        if \"charmm_rtf\" in kwargs:\n            self.charmm_rtf = kwargs.pop(\"charmm_rtf\")\n\n        if \"gulp_info\" in kwargs:\n            self.gulp_info = kwargs.pop(\"gulp_info\")\n\n    def calc(self, calculator, show=True):\n        \"\"\"\n        Execute calculation\n        \"\"\"\n\n        cwd = os.getcwd()\n        os.chdir(self.work_dir)\n        if calculator.find(\"dftb\") > -1:\n            tmp = calculator.split(\"_\")\n            disp = tmp[-1] if len(tmp) > 1 else \"D3\"\n            self.dftb(disp, show)\n        elif calculator == \"vasp\":\n            self.vasp(show)\n        elif calculator == \"ani\":\n            self.ani(show)\n        elif calculator == \"charmm\":\n            self.charmm(show)\n        elif calculator == \"gulp\":\n            self.gulp(show)\n        else:\n            raise KeyError(\"unknown calculator\", calculator)\n\n        os.chdir(cwd)\n\n    def dftb(self, disp, show=True, logfile=\"ase.log\"):\n        \"\"\"\n        DFTB calculation\n        \"\"\"\n        if not hasattr(self, \"skf_dir\"):\n            raise KeyError(\"no skf_dir for DFTB calculation\")\n        t0 = time()\n        ase = self.ase[\"reference\"].copy()\n        # ase = dftb_relax(ase, self.skf_dir, kresol=0.08, logfile=logfile)\n        ase, _ = DFTB(ase, self.skf_dir, mode=\"relax\",\n                      kresol=0.08, disp=disp)\n        ase, _ = DFTB(ase, self.skf_dir, mode=\"vc-relax\",\n                      step=300, kresol=0.06, disp=disp)\n        ase = DFTB_relax(ase, self.skf_dir, opt_cell=True,\n                         kresol=0.06, disp=disp, logfile=logfile)\n        xtal = pyxtal(molecular=True)\n        pmg = ase2pymatgen(ase)\n        xtal.from_seed(pmg, molecules=self.smiles)\n\n        pmg.remove_species(\"H\")\n        calc = \"dftb_\" + disp\n\n        self.xtal[calc] = xtal\n        self.pmg[calc] = pmg\n        self.energy[calc] = ase.get_potential_energy()\n        self.rep[calc] = representation.from_pyxtal(xtal).x\n        self.time[calc] = time() - t0\n        if show: self.summary(calc)\n\n    def vasp(self, show=True):\n        \"\"\"\n        VASP calculation\n        \"\"\"\n        t0 = time()\n        ase, energy = vasp_relax(self.ase[\"reference\"].copy())\n        ase, energy = vasp_relax(ase, opt_cell=True)\n        xtal = pyxtal(molecular=True)\n        pmg = ase2pymatgen(ase)\n        xtal.from_seed(pmg, molecules=self.smiles)\n\n        pmg.remove_species(\"H\")\n        self.xtal[\"vasp\"] = xtal\n        self.pmg[\"vasp\"] = pmg\n        self.rep[\"vasp\"] = representation.from_pyxtal(xtal).x\n        self.energy[\"vasp\"] = energy\n        self.time[\"vasp\"] = time() - t0\n        if show:\n            self.summary(\"vasp\")\n\n    def ani(self, show=True, logfile=\"ase-ani.log\"):\n        \"\"\"\n        Torch ANI calculation\n        \"\"\"\n\n        t0 = time()\n        # self.ase.write('ani.cif', format='cif')\n        ase = self.ase[\"reference\"].copy()\n        ase = ani_relax(ase, logfile=logfile)\n        ase = ani_relax(ase, opt_cell=True, logfile=logfile, max_time=10.0)\n        ase = ani_relax(ase, opt_cell=True, logfile=logfile, max_time=10.0)\n\n        # ase.write('ani_final.cif', format='cif'); import sys; sys.exit()\n        xtal = pyxtal(molecular=True)\n        self.ase[\"ani\"] = ase\n        pmg = ase2pymatgen(ase)\n        try:\n            xtal.from_seed(pmg, molecules=self.smiles)\n            pmg.remove_species(\"H\")\n            self.xtal[\"ani\"] = xtal\n            self.pmg[\"ani\"] = pmg\n            self.rep[\"ani\"] = representation.from_pyxtal(xtal).x\n            self.energy[\"ani\"] = ase.get_potential_energy()\n            self.time[\"ani\"] = time() - t0\n            if show: self.summary(\"ani\")\n        except ReadSeedError:\n            print(\"Molecular form is broken after relaxation\")\n\n    def charmm(self, show=True, steps=None):\n        \"\"\"\n        CHARMM-GAFF\n        \"\"\"\n        if steps is None:\n            steps = [2000, 3000]\n        struc = self.xtal[\"reference\"].copy()\n\n        t0 = time()\n        calc = CHARMM(struc, \"ben\", steps=steps,\n                      atom_info=self.charmm_info,\n                      debug=True)\n        calc.run(clean=self.clean)  #False); import sys; sys.exit()\n        struc = calc.structure\n\n        pmg = struc.to_pymatgen()\n        pmg.remove_species(\"H\")\n        self.xtal[\"charmm\"] = struc\n        self.pmg[\"charmm\"] = pmg\n        self.rep[\"charmm\"] = representation.from_pyxtal(struc).x\n        self.energy[\"charmm\"] = calc.structure.energy\n        self.time[\"charmm\"] = time() - t0\n        if show:\n            self.summary(\"charmm\")\n\n    def gulp(self, show=True, step=None, stepmx=None):\n        \"\"\"\n        GULP-GAFF\n        \"\"\"\n        if stepmx is None:\n            stepmx = [0.001, 0.005, 0.02]\n        if step is None:\n            step = [400, 400, 1000]\n        struc = self.xtal[\"reference\"].copy()\n        g_info = self.gulp_info\n        t0 = time()\n        calc = GULP_relax(struc, \"ben\", opt=\"conv\", steps=step[0],\n                          stepmx=stepmx[0], atom_info=g_info)\n        calc.run(clean=self.clean)  # ; print(os.getcwd()); import sys; sys.exit()\n        if not calc.optimized:\n            raise RuntimeError(\"GULP calculation is wrong\")\n        struc = calc.structure\n        calc = GULP_relax(\n            struc,\n            \"ben\",\n            opt=\"conp\",\n            steps=step[1],\n            stepmx=stepmx[1],\n            atom_info=g_info,\n            dump=\"1.cif\",\n        )\n        calc.run(clean=self.clean)\n        if not calc.optimized:\n            raise RuntimeError(\"GULP calculation is wrong\")\n        struc = calc.structure\n        calc = GULP_relax(struc, \"ben\", opt=\"conp\", steps=step[2],\n                          stepmx=stepmx[2], atom_info=g_info)\n        # print(struc)\n        calc.run(clean=self.clean) #, pause=True); import sys; sys.exit()\n        struc = calc.structure\n        if not calc.optimized:\n            raise RuntimeError(\"GULP calculation is wrong\")\n        pmg = struc.to_pymatgen()\n        pmg.remove_species(\"H\")\n        self.xtal[\"gulp\"] = struc\n        self.pmg[\"gulp\"] = pmg\n        self.rep[\"gulp\"] = representation.from_pyxtal(struc).x\n        self.energy[\"gulp\"] = calc.structure.energy\n        self.time[\"gulp\"] = time() - t0\n        if show:\n            self.summary(\"gulp\")\n\n    def charmm_md(self):\n        raise NotImplementedError\n\n    def summary(self, calc=None):\n        calcs = self.time.keys() if calc is None else [calc]\n\n        pmg0 = self.pmg[\"reference\"]\n        v0 = pmg0.volume\n        matcher = sm.StructureMatcher(ltol=0.3, stol=0.3, angle_tol=10)\n        for calc in calcs:\n            time = self.time[calc] / 60\n            rep = representation(self.rep[calc], self.smiles)\n            dv = (self.pmg[calc].volume - v0) / v0\n            strs = f\"{rep.to_string(eng=self.energy[calc] / self.Z):s} \"\n            strs += f\"{calc:8s} {time:6.2f} {dv:6.3f}\"\n            rmsd = matcher.get_rms_dist(pmg0, self.pmg[calc])\n            if rmsd is not None:\n                strs += f\"{rmsd[0]:6.3f}{rmsd[1]:6.3f}\"\n                self.diff[calc] = [dv, rmsd[0], rmsd[1]]\n            else:\n                self.diff[calc] = [dv, None, None]\n            print(strs)\n\n\nif __name__ == \"__main__\":\n    import warnings\n    from pyxtal.db import database\n    warnings.filterwarnings(\"ignore\")\n\n    work_dir = \"tmp\"\n    if not os.path.exists(work_dir):\n        os.makedirs(work_dir)\n\n    # if 'DFTB_PREFIX' in os.environ.keys():\n    #    skf_dir = os.environ['DFTB_PREFIX'] + '3ob-3-1/'\n    # else:\n    #    raise RuntimeError(\"Cannot find DFTB_PREFIX in the environment\")\n    skf_dir = None\n\n    db = database(\"pyxtal/database/test.db\")\n    code = \"ACSALA\"  #'BENZEN'\n    row = db.get_row(code)\n    xtal = db.get_pyxtal(code)\n\n    c_info = row.data[\"charmm_info\"]\n    with open(work_dir + \"/pyxtal.prm\", \"w\") as prm:\n        prm.write(c_info[\"prm\"])\n    with open(work_dir + \"/pyxtal.rtf\", \"w\") as rtf:\n        rtf.write(c_info[\"rtf\"])\n    g_info = row.data[\"gulp_info\"]\n\n    pmg = xtal.to_pymatgen()\n    smi = row.mol_smi.split(\".\")\n    ben = benchmark(\n        pmg,\n        smi,\n        charmm_info=c_info,\n        gulp_info=g_info,\n        work_dir=work_dir,\n        skf_dir=skf_dir,\n        clean=False,\n    )\n\n    rep = representation(ben.rep[\"reference\"], smi)\n    print(rep.to_string() + \" reference\")\n\n    # for calc in ['charmm', 'ani', 'gulp']: #, 'dftb_TS']:\n    # for calc in ['dftb_TS']:\n    # for calc in ['ani', 'ani', 'ani', 'ani']:\n    for calc in [\"charmm\", \"gulp\"]:  # , 'dftb_TS']:\n        ben.calc(calc, show=True)\n    print(\"=========================================\")\n\"\"\"\nNote: The results are outdated and the codes are obsolete.\nqzhu@cms-2:~/GitHub/HT-OCSP$ python htocsp/benchmark.py\n29 0 9.20 7.29 6.69 1 0.00 0.75 0.00  111.8 -43.7   19.4 1 reference\n29 0 9.20 7.44 6.68 1 0.00 0.75 1.00  -72.0 -42.7   20.6 0     -1.444 charmm  0.15  0.019 0.030 0.032\n61 0 6.63 7.42 9.36 1 1.00 0.00 1.00   -7.5  42.5 -108.3 0  -6318.357 ani     0.24  0.027 0.008 0.010\n29 0 9.24 7.35 6.64 1 0.00 0.75 1.00  -70.6 -43.2   19.4 0     -0.305 gulp    0.60  0.006 0.024 0.028\n61 0 6.56 7.12 9.11 1 0.00 1.00 0.00   -7.8  43.2 -109.0 0   -341.479 dftb_D3 2.31 -0.051 0.017 0.022\n61 0 6.70 7.24 9.20 1 0.00 0.00 0.00 -142.9  43.3  -70.8 0   -341.147 dftb_TS 0.82 -0.005 0.011 0.013\n\"\"\"\n"
  },
  {
    "path": "pyxtal/optimize/common.py",
    "content": "\"\"\"\nCommon utlities for global search\n\"\"\"\nimport os\nimport warnings\nfrom time import time\nimport concurrent.futures\n\nimport numpy as np\nfrom random import choice\nfrom ase import units\n\nfrom pyxtal import pyxtal\nfrom pyxtal.interface.ase_opt import ASE_relax\nfrom pyxtal.interface.charmm import CHARMM\nfrom pyxtal.optimize.benchmark import benchmark\nfrom pyxtal.representation import representation\nfrom pyxtal.symmetry import Group, Hall\nfrom pyxtal.util import ase2pymatgen\nfrom pyxtal.XRD import Similarity, pxrd_refine\n\nwarnings.filterwarnings(\"ignore\")\n\n\ndef get_rmsd_with_timeout(matcher, ref_pmg, structure, timeout=10):\n    \"\"\"Calculate RMSD with a timeout\n\n    Args:\n        matcher: Structure matcher object\n        ref_pmg: Reference pymatgen structure\n        structure: Structure to compare\n        timeout: Maximum execution time in seconds\n\n    Returns:\n        RMSD value or None if calculation times out\n    \"\"\"\n    with concurrent.futures.ThreadPoolExecutor(max_workers=1) as executor:\n        future = executor.submit(matcher.get_rms_dist, ref_pmg, structure)\n        try:\n            return future.result(timeout=timeout)\n        except concurrent.futures.TimeoutError:\n            print(f\"RMSD calculation timed out after {timeout} seconds\")\n            return None\n\ndef sweep(xtal, comp, c_info, w_dir, job_tag, mlp, skip_mlp, optimizer, eps=[0.05, -0.02]):\n    \"\"\"\n    Check the stability of input xtal based on 5% tension\n\n    Args:\n        xtal: pyxtal structure\n        comp: composition\n        c_info: CHARMM info\n        w_dir: working directory\n        job_tag: job tag for CHARMM\n        skip_mlp: skip mlp relaxation\n        optimizer: the optimizer function to use\n        eps: list of tension and compression factors\n\n    Returns:\n        xtal0: the relaxed structure\n        eng0: the energy of the relaxed structure\n        stable: whether the structure was updated\n    \"\"\"\n    N = sum(xtal.numMols)\n    comp = xtal.get_1D_comp()\n    res = optimizer(xtal, c_info, w_dir, job_tag, mlp=mlp, skip_mlp=skip_mlp)\n    if res is None: return None\n\n    xtal0, eng0 = res[\"xtal\"], res[\"energy\"]\n    cell0 = np.array(xtal.lattice.encode())\n    wps = [site.encode() for site in xtal0.mol_sites]\n    smiles = [m.smile for m in xtal.molecules]\n\n    # Check if the structure is stable w.r.t. 5% tension/compression\n    stable = True\n    sg = xtal.group.number\n    abc = 3 if sg <= 74 else (2 if sg <= 194 else 1)\n    angle = 2 if sg <= 15 else 1\n    for id in range(abc):\n        for eps_i in eps:\n            for ang in range(angle):\n                cell = cell0.copy()\n                cell[id] *= (1 + eps_i)\n                # Apply a small shear strain if the angle is allowed\n                if sg <=15:\n                    if ang == 0:\n                        cell[-1] += 2.0\n                    else:\n                        cell[-1] -= 2.0\n                x = [[xtal0.group.hall_number] + cell.tolist()]\n                x.extend(wps)\n                rep1 = representation(x, smiles)\n                try:\n                    xtal1 = rep1.to_pyxtal(composition=comp)\n                except:\n                    print(\"Problem in rep.to_pyxtal\", rep1)\n                    xtal1 = None\n                if xtal1 is not None:\n                    res = optimizer(xtal1, c_info, w_dir, job_tag, skip_mlp=skip_mlp)\n                    if res is not None:\n                        xtal2, eng = res[\"xtal\"], res[\"energy\"]\n                        if eng < eng0 - 1e-2:\n                            rep2 = xtal2.get_1D_representation()\n                            print(rep2.to_string(eng/N), f\"<- {eng0/N:.2f} ({id}@{eps_i:.2f}/{ang})\")\n                            xtal0, eng0 = xtal2, eng\n                            stable = False\n    return xtal0, eng0, stable\n\n\ndef check_stable_structure(xtal, c_info, w_dir, job_tag, mlp, skip_mlp, optimizer, disps=[0.5, 5.0], random=False):\n    \"\"\"\n    Check the stability of input xtal based on lattice mutation\n    \"\"\"\n    N = sum(xtal.numMols)\n    comp = xtal.get_1D_comp()\n    disp_cell, disp_ang = disps[0], disps[1]\n    res = optimizer(xtal, c_info, w_dir, job_tag, mlp=mlp, skip_mlp=skip_mlp)\n    smiles = [m.smile for m in xtal.molecules]#; print(smiles)\n    if res is not None:\n        xtal0, eng0 = res[\"xtal\"], res[\"energy\"]\n        cell0 = np.array(xtal.lattice.encode())\n\n        for i, c in enumerate(cell0):\n            if i <= 2:\n                disps = [-disp_cell, disp_cell]\n            else:\n                disps = [-disp_ang, disp_ang]\n            for disp in disps:\n                cell = cell0.copy()\n                cell[i] += disp\n                x = [[xtal0.group.hall_number] + cell.tolist()]\n                wps = [site.encode() for site in xtal0.mol_sites]\n                # Add random perturbation\n                if random:\n                    for wp in wps:\n                        for id in range(4, len(wp)-1):\n                            wp[id] += 10.0*(np.random.random()-0.5)\n                x.extend(wps)\n                rep1 = representation(x, smiles)\n                xtal1 = rep1.to_pyxtal(composition=comp)#; print(xtal1.lattice)\n                res = optimizer(xtal1, c_info, w_dir, job_tag, mlp=mlp,\n                                skip_mlp=skip_mlp)\n                if res is not None:\n                    xtal2, eng = res[\"xtal\"], res[\"energy\"]\n                    if eng < eng0 + 1e-4:\n                        xtal0, eng0 = xtal2, eng\n        return xtal0, eng0\n    else:\n        #raise RuntimeError(\"Error in optimization\")\n        return None\n\n\ndef mutator(xtal, smiles, opt_lat, ref_pxrd=None, dr=0.125, random_state=None):\n    \"\"\"\n    A random mutation.\n\n    Args:\n        xtal: pyxtal structure\n        smiles: list of smiles\n        opt_lat: whether to optimize the lattice\n        ref_pxrd: reference PXRD pattern for lattice optimization\n        dr: perturbation ratio for the lattice and molecules\n        random_state: random state for reproducibility\n\n    Returns:\n        a new pyxtal structure with perturbed lattice and molecules\n    \"\"\"\n\n    rng = np.random.default_rng(random_state)\n    # perturb cell\n    comp = xtal.get_1D_comp()\n    x = xtal.get_1D_representation().x\n    if opt_lat:\n        if ref_pxrd is None:\n            sg = x[0][0]\n            if rng.random() > 0.5:\n                disp_cell = rng.uniform(-1.0, 1.0, len(x[0]) - 1)\n                if sg <= 2: disp_cell[3:] = 0 # prevent some bad angles\n                x[0][1:] *= 1 + dr * disp_cell\n\n                # flip the inclination angle\n                if 3 <= sg <= 15 and rng.random() > 0.7 and abs(90 - x[0][-1]) < 15:\n                    x[0][-1] = 180 - x[0][-1]\n            else:\n                # pure tension 15-25%\n                if sg <= 74: # pick a, b, c\n                    axis = rng.choice([0, 1, 2])\n                elif sg <= 194: # a, c\n                    axis = rng.choice([0, 1])\n                else: # c\n                    axis = 0\n                x[0][axis] *= 1.15 + 0.1 * rng.random()\n        else:\n            thetas = [ref_pxrd[0][0], min([35, ref_pxrd[0][-1]])]\n            _, x[0][1:], _ = pxrd_refine(xtal, ref_pxrd, thetas)\n\n    # perturb molecules\n    for i in range(1, len(x)):\n        disp_mol = rng.uniform(-1.0, 1.0, len(x[i]) - 1)\n        x[i][:-1] *= 1 + dr * disp_mol\n        # change the orientation and torsions\n        for j in range(3, len(x[i]) - 1):\n            rad_num = rng.random()\n            if rad_num < 0.25:\n                x[i][j] += rng.choice([45.0, 90.0])\n            elif rad_num < 0.5:\n                x[i][j] *= -1\n    try:\n        struc = representation(x, smiles).to_pyxtal(composition=comp)\n        for i, molecule in enumerate(xtal.molecules):\n            if hasattr(molecule, 'active_sites'):\n                struc.molecules[i].active_sites = molecule.active_sites\n        return struc\n    except:\n        #print(\"Trouble to get the representation\")\n        #print(xtal)\n        #print(\"x\", x)\n        #print(\"smiles\", smiles)\n        #print(\"comp\", comp)\n        #xtal.to_file(\"bug.cif\")\n        ##print(\"is_valid_matrix\\n\", xtal.lattice.get_matrix())\n        #print(\"cell_para\", xtal.lattice.get_para(degree=True))\n        #print(x[0])\n        #raise RuntimeError(\"Problem occurs in mutation_lattice\")\n        return None\n\ndef randomizer(\n    smiles,\n    sgs,\n    comp,\n    lattice=None,\n    block=None,\n    num_block=None,\n    torsions=None,\n    molecules=None,\n    sites=None,\n    use_hall=False,\n    factor=1.1,\n    random_state=None,\n):\n    \"\"\"\n    A random structure generation engine\n\n    Args:\n        smiles: e.g. `['CCCCC', 'CC']`\n        sgs: e.g. `[2, 4, 14]`\n        comp: e.g. `[0.5, 0.5]`\n        lattice: pyxtal.Lattice object\n        block: a list of block sizes, e.g. `[2, 2, 2]`\n        num_block: number of blocks, e.g. `2`\n        torsions: a list of torsion angles, e.g. `[0, 90, 180]`\n        molecules: pre-specified pyxtal_molecule object\n        sites: a list of sites, e.g. `[['1a', '1b'], ['2c']]`\n        use_hall: whether to use Hall notation\n        factor: factor to scale the lattice\n        random_state: random state for reproducibility\n\n    Returns:\n        PyXtal object\n    \"\"\"\n    rng = np.random.default_rng(random_state)\n    mols = [smi + \".smi\" for smi in smiles] if molecules is None else [choice(m) for m in molecules]\n    sg = rng.choice(sgs)\n    wp = Group(sg, use_hall=True)[0] if use_hall else Group(sg)[0]\n    mult = len(wp)\n    numIons = [int(c * mult) for c in comp]\n\n    # speed up generation for general positions\n    if sites is None and comp[0] >= 1:\n        letter = wp.letter\n        sites = []\n        for c in comp:\n            sites.append([str(mult) + letter] * int(c))\n\n    while True:\n        xtal = pyxtal(molecular=True)\n        if use_hall:\n            hn = sg\n        else:\n            perm = sg > 15\n            # For specical site or high symmetry, we only do standard_setting\n            hn = Hall(sg).hall_default if min(comp) < 1 or sg > 142 else rng.choice(Hall(sg, permutation=perm).hall_numbers)\n        xtal.from_random(\n            3,\n            hn,\n            mols,\n            numIons,\n            factor=factor,\n            block=block,\n            num_block=num_block,\n            lattice=lattice,\n            force_pass=True,\n            torsions=torsions,\n            sites=sites,\n            use_hall=True,\n            #random_state=random_state,\n        )\n        if xtal.valid and len(xtal.check_short_distances(exclude_H=True))==0:\n            break\n\n    if xtal.has_special_site():\n        try:\n            xtal = xtal.to_subgroup()\n        except:\n            print(xtal)\n            print(xtal.to_file())\n            raise ValueError(\"Error in making subgroup\")\n    return xtal\n\n\ndef optimizer(\n    struc,\n    atom_info,\n    workdir,\n    tag = \"job_0\",\n    opt_lat = True,\n    calculators = None,\n    max_time = 180,\n    mlp = 'MACE',\n    skip_mlp = False,\n    output_mlp = True,\n    pre_opt = False,\n):\n    \"\"\"\n    Structural relaxation for each individual pyxtal structure.\n\n    Args:\n        struc: pyxtal\n        atom_info: atom information for CHARMM\n        workdir: working directory\n        tag: job tag for CHARMM\n        opt_lat: whether to optimize the lattice\n        calculators: e.g., `['CHARMM', 'GULP']`\n        max_time: maximum time for the optimization\n        mlp: MACE | UMA | ANI\n        skip_mlp: whether to skip mlp relaxation\n        output_mlp: whether to output the mlp relaxed structure\n        pre_opt: whether to perform pre-relaxation\n\n    Returns:\n        a dictionary with xtal, energy and time\n    \"\"\"\n    # Perform pre-relaxation\n    if pre_opt:\n        struc.optimize_lattice_and_rotation()\n\n    if calculators is None:\n        calculators = [\"CHARMM\"]\n\n    cwd = os.getcwd()\n    t0 = time()\n    os.chdir(workdir)\n\n    results = None\n    for i, calculator in enumerate(calculators):\n        if calculator == \"CHARMM\":\n            if i == 0:\n                calc = CHARMM(struc, tag, steps=[1000], atom_info=atom_info)#, debug=True)\n                calc.run() #clean=False); import sys; sys.exit()\n                if calc.error:\n                    os.chdir(cwd)\n                    return None\n                else:\n                    if not calc.optimized:\n                        calc = CHARMM(struc, tag, steps=[500], atom_info=atom_info)\n                        calc.run()\n                        if calc.error:\n                            os.chdir(cwd)\n                            return None\n\n            # print(calc.structure)\n            steps = [1000, 1000] if opt_lat else [2000]\n            calc = CHARMM(calc.structure, tag, steps=steps, atom_info=atom_info)\n            calc.run()  # print(\"Debug\", calc.optimized); import sys; sys.exit()\n\n            # only count good struc\n            if calc.error:\n                os.chdir(cwd)\n                return None\n            else:\n                calc = CHARMM(calc.structure, tag, steps=steps, atom_info=atom_info)\n                calc.run()#clean=False)\n\n                if calc.error:\n                    os.chdir(cwd)\n                    return None\n                else:\n                    if calc.optlat:  # with bad inclination angles\n                        calc = CHARMM(calc.structure, tag, steps=steps, atom_info=atom_info)\n                        calc.run()#clean=False)\n                        if calc.error:\n                            os.chdir(cwd)\n                            return None\n\n                # Check if there exists a 2nd FF model for better energy ranking\n                if os.path.exists(\"pyxtal1.prm\"):\n                    calc = CHARMM(\n                        calc.structure,\n                        tag,\n                        prefix=\"pyxtal1\",\n                        steps=[2000],\n                        atom_info=atom_info,\n                    )\n                    calc.run()\n                    if calc.error:\n                        os.chdir(cwd)\n                        return None\n\n        if calc.error:\n            os.chdir(cwd)\n            return None\n        else:\n            struc = calc.structure\n            struc.resort()\n    os.chdir(cwd)\n\n    # density should not be too small\n    if not skip_mlp:\n        stress_tol = 10.0 if len(struc.mol_sites[0].molecule.mol) < 10 else 5.0\n        if (\n            struc.energy < 9999\n            and struc.lattice.is_valid_matrix()\n            # and struc.check_distance()\n            and 0.25 < struc.get_density() < 3.0\n        ):\n            s = struc.to_ase()\n            step = 50 if mlp in ['MACE', 'ANI'] else 10\n            s = ASE_relax(s, mlp, step=step, fmax=0.1, logfile=\"ase.log\")\n            if s is None: return None\n            eng = s.get_potential_energy()\n            stress = max(abs(s.get_stress())) / units.GPa\n\n            t = time() - t0\n            if t > max_time:\n                try:\n                    print(\"!!!Long time in ani calculation\", t)\n                    print(struc.get_1D_representation().to_string())\n                    struc.optimize_lattice()\n                except:\n                    print(\"Trouble in optLat\")\n                    return None\n            elif stress < stress_tol:\n                results = {}\n                if output_mlp:\n                    xtal = pyxtal(molecular=True)\n                    pmg = ase2pymatgen(s)\n                    mols = [m.smile + \".smi\" for m in struc.molecules]\n                    xtal.from_seed(pmg, mols)\n                    results[\"xtal\"] = xtal\n                else:\n                    results[\"xtal\"] = struc\n                if eng is not None:\n                    results[\"energy\"] = eng\n                else:\n                    results[\"energy\"] = 10000\n                    return None\n                results[\"time\"] = time() - t0\n            else:\n                print(f\"stress is wrong {stress:6.2f}\")\n                # print(struc); import sys; sys.exit()\n                return None\n    else:\n        results = {}\n        results[\"xtal\"] = struc\n        results[\"energy\"] = calc.structure.energy\n        results[\"time\"] = time() - t0\n\n    return results\n\ndef optimizer_par(\n    xtals,\n    ids,\n    mutates,\n    job_tags,\n    randomizer,\n    optimizer,\n    smiles,\n    block,\n    num_block,\n    atom_info,\n    workdir,\n    sgs,\n    comp,\n    lattice,\n    torsions,\n    molecules,\n    sites,\n    ref_pmg,\n    matcher,\n    ref_pxrd,\n    use_hall,\n    mlp,\n    skip_mlp,\n    output_mlp,\n    check_stable,\n    pre_opt,\n):\n    \"\"\"\n    A routine used for parallel structure optimization\n\n    Args:\n        xtals: list of xtals\n        ids: list of structure ids\n    \"\"\"\n    results = []\n    for i in range(len(ids)):\n        xtal = xtals[i]\n        id = ids[i]\n        mutate = mutates[i]\n        job_tag = job_tags[i]\n        xtal, match, stable = optimizer_single(\n            xtal,\n            id,\n            mutate,\n            job_tag,\n            randomizer,\n            optimizer,\n            smiles,\n            block,\n            num_block,\n            atom_info,\n            workdir,\n            sgs,\n            comp,\n            lattice,\n            torsions,\n            molecules,\n            sites,\n            ref_pmg,\n            matcher,\n            ref_pxrd,\n            use_hall,\n            mlp,\n            skip_mlp,\n            output_mlp,\n            check_stable,\n            pre_opt,\n        )\n        results.append((id, xtal, match, stable))\n    return results\n\n\ndef optimizer_single(\n    xtal,\n    id,\n    mutate,\n    job_tag,\n    randomizer,\n    optimizer,\n    smiles,\n    block,\n    num_block,\n    atom_info,\n    workdir,\n    sgs,\n    comp,\n    lattice,\n    torsions,\n    molecules,\n    sites,\n    ref_pmg,\n    matcher,\n    ref_pxrd,\n    use_hall,\n    mlp,\n    skip_mlp,\n    output_mlp,\n    check_stable,\n    pre_opt,\n):\n    \"\"\"\n    A routine used for individual structure optimization\n\n    Args:\n        xtal:\n        id: structure id\n        randomizer:\n        optimizer:\n    \"\"\"\n\n    # 1. Obtain the structure model\n    opt_lat = lattice is None\n    if xtal is None:\n        xtal = randomizer(\n            smiles,\n            sgs,\n            comp,\n            lattice,\n            block,\n            num_block,\n            torsions,\n            molecules,\n            sites,\n            use_hall,\n        )\n        tag = \"Random  \"\n    else:\n        if mutate:\n            #if len(xtal.numMols)==1 and (xtal.get_zprime()[0]-1.0) < 1e-2 and np.random.random() < 0.5:\n            #    print(\"perform subgroup split\")\n            #    xtal = xtal.to_subgroup_zp2()\n\n            xtal = mutator(xtal, smiles, opt_lat, None)\n            tag = \"Mutation \"\n        else:\n            tag = \"Kept \"\n\n    # 2. Optimization\n    if xtal is None:\n        res = None\n    else:\n        res = optimizer(xtal, atom_info, workdir, job_tag, opt_lat,\n                        mlp=mlp, skip_mlp=skip_mlp, output_mlp=output_mlp,\n                        pre_opt=pre_opt)\n\n    match = False # used for matching with reference\n    stable = True # used for tagging if the structure is stable\n    if res is not None:\n        xtal, eng = res[\"xtal\"], res[\"energy\"]\n        N = sum(xtal.numMols)\n        if check_stable and eng < 9999.:\n            res = sweep(xtal, comp, atom_info, workdir, job_tag,\n                        mlp, skip_mlp, optimizer)\n            if res is not None:\n                xtal, eng, stable = res\n                if stable:\n                    tag += 'Stable'\n                else:\n                    tag += 'Shallow'\n        rep = xtal.get_1D_representation()\n        strs = rep.to_string(None, eng / N, tag)\n\n        # 3. Check match w.r.t the reference\n        if ref_pmg is not None:\n            pmg_s1 = xtal.to_pymatgen()\n            pmg_s1.remove_species(\"H\")\n            # Prevent the false call of matcher call\n            try:\n                rmsd = get_rmsd_with_timeout(matcher, ref_pmg, pmg_s1)\n            except:\n                rmsd = None\n            if rmsd is not None:\n                # Further refine the structure\n                match = True\n                str1 = f\"Match {rmsd[0]:6.2f} {rmsd[1]:6.2f} {eng / N:12.3f} \"\n                if not skip_mlp:\n                    xtal, eng1 = refine_struc(xtal, smiles, ASE_relax, mlp)\n                    str1 += f\"Full Relax -> {eng1 / N:12.3f}\"\n                    eng = eng1\n                print(str1)\n\n        elif ref_pxrd is not None:\n            thetas = [ref_pxrd[0][0], ref_pxrd[0][-1]]\n            xrd = xtal.get_XRD(thetas=thetas)\n            p1 = xrd.get_profile(res=0.15, user_kwargs={\"FWHM\": 0.25})\n            match = Similarity(p1, ref_pxrd, x_range=thetas).value\n            strs += f\" {match:.3f}\"\n\n        xtal.energy = eng\n        print(f\"{id:3d} \" + strs)#; import sys; sys.exit()\n        return xtal, match, stable\n    else:\n        return None, match, stable\n\ndef refine_struc(xtal, smiles, calculator, mlp):\n    \"\"\"\n    refine the structure with the ML calculator\n\n    Args:\n        xtal: pyxtal structure\n        smiles: list of smiles\n        calculator: ANI_relax or MACE_relax\n    \"\"\"\n    s = xtal.to_ase()\n    s = calculator(s, mlp, step=50, fmax=0.1, logfile=\"ase.log\")\n    s = calculator(s, mlp, step=250, opt_cell=True, logfile=\"ase.log\")\n    s = calculator(s, mlp, step=50, fmax=0.1, logfile=\"ase.log\")\n    eng1 = s.get_potential_energy()  # /sum(xtal.numMols)\n\n    xtal = pyxtal(molecular=True)\n    pmg = ase2pymatgen(s)\n    mols = [smi + \".smi\" for smi in smiles]\n    xtal.from_seed(pmg, mols)\n    return xtal, eng1\n\ndef compute_par(row, pmg, work_dir, skf_dir, queue, compute):\n    \"\"\"\n    Args:\n        row: ase db row object\n        pmg: pymatgen structure\n        work_dir: working directory\n        skf_dir: directory for the skf files\n        queue: multiprocessing.Queue to store results\n    \"\"\"\n    data = compute(row, pmg, work_dir, skf_dir)\n    queue.put((row.id, row.csd_code, data))\n\ndef compute(row, pmg, work_dir, skf_dir, info=None):\n    \"\"\"\n    perform the benchmark for a ase db row object\n\n    Arg:\n        row: ase db\n    \"\"\"\n    data = {\n        \"charmm_info\": {},\n        \"gulp_info\": {},\n        \"ani_info\": {},\n        \"dftb_D3_info\": {},\n        \"dftb_TS_info\": {},\n    }\n\n    if info is None:\n        c_info = row.data[\"charmm_info\"]\n        g_info = row.data[\"gulp_info\"]\n    else:\n        c_info = info[\"c_info\"]\n        g_info = info[\"g_info\"]\n    data[\"charmm_info\"] = c_info\n    data[\"gulp_info\"] = g_info\n\n    w_dir = work_dir + \"/\" + row.csd_code\n    smiles = row.mol_smi.split(\".\")\n\n    # Invoke benchmark\n    ben = benchmark(\n        pmg,\n        smiles,\n        work_dir=w_dir,\n        skf_dir=skf_dir,\n        charmm_info=c_info,\n        gulp_info=g_info,\n    )\n    file1, file2 = \"/pyxtal.prm\", \"/pyxtal.rtf\"\n    with open(w_dir + file1, \"w\") as prm:\n        prm.write(c_info[\"prm\"])\n    with open(w_dir + file2, \"w\") as rtf:\n        rtf.write(c_info[\"rtf\"])\n\n    # reference\n    print(\"\\n\", row.csd_code, row.mol_smi, pmg.volume)\n    rep = representation(ben.rep[\"reference\"], smiles)\n    print(rep.to_string() + \" reference\")\n\n    for calc in [\"charmm\", \"gulp\", \"ani\", \"dftb_D3\", \"dftb_TS\"]:\n        try:\n            ben.calc(calc, show=True)\n            key = calc + \"_info\"\n            data[key][\"rep\"] = ben.rep[calc]\n            data[key][\"time\"] = ben.time[calc]\n            data[key][\"diff\"] = ben.diff[calc]\n            data[key][\"cif\"] = ben.xtal[calc].to_file()\n            data[key][\"energy\"] = ben.energy[calc] / sum(ben.xtal[calc].numMols)\n        except:  # noqa: PERF203\n            print(\"=====Calculation is wrong \", calc, row.csd_code)\n            data[key][\"energy\"] = 100000\n\n    return data\n\ndef load_reference_from_db(db_name, code=None):\n    \"\"\"\n    Load the reference data from the db file\n\n    Args:\n        db_name (str): database path\n        code (str): code name\n\n    Returns:\n        a list of args\n    \"\"\"\n    from pyxtal.db import database\n    db = database(db_name)\n    if code is None:\n        codes = db.codes\n    else:\n        codes = [code]\n\n    args = []\n    for code in codes:\n        wdir = code\n        row = db.get_row(code)\n        xtal = db.get_pyxtal(code)\n        smile, wt, spg = row.mol_smi, row.mol_weight, row.space_group.replace(\" \", \"\")\n\n        chm_info = None\n        if 'charmm_info' in row.data.keys():\n            print(\"prepare charmm input\", wdir)\n            os.makedirs(wdir, exist_ok=True)\n            os.makedirs(wdir+'/calc', exist_ok=True)\n\n            chm_info = row.data['charmm_info']\n            prm_file = wdir+'/calc/pyxtal.prm'\n            rtf_file = wdir+'/calc/pyxtal.rtf'\n            prm = open(prm_file, 'w'); prm.write(chm_info['prm']); prm.close()\n            rtf = open(rtf_file, 'w'); rtf.write(chm_info['rtf']); rtf.close()\n\n        if xtal.has_special_site(): xtal = xtal.to_subgroup()\n\n        pmg0 = xtal.to_pymatgen()\n        sg = xtal.group.number\n        comp = xtal.get_zprime(integer=True)\n        N_torsion = xtal.get_num_torsions()\n        lat = xtal.lattice\n        tag = code.lower()\n        args.append((smile, wdir, sg, tag, chm_info, comp, lat, pmg0, wt, spg, N_torsion))\n    return args\n\nif __name__ == \"__main__\":\n\n    import pymatgen.analysis.structure_matcher as sm\n    from pyxtal.db import database\n\n    w_dir = \"tmp\"\n    if not os.path.exists(w_dir):\n        os.makedirs(w_dir)\n\n    db = database(\"pyxtal/database/test.db\")\n    row = db.get_row(\"ACSALA\")\n    xtal1 = db.get_pyxtal(\"ACSALA\")\n    smile = row.mol_smi\n\n    # Prepare prm\n    c_info = row.data[\"charmm_info\"]\n    with open(w_dir + \"/pyxtal.prm\", \"w\") as prm:\n        prm.write(c_info[\"prm\"])\n    with open(w_dir + \"/pyxtal.rtf\", \"w\") as rtf:\n        rtf.write(c_info[\"rtf\"])\n\n    # Relax expt. xtal\n    res = optimizer(xtal1, c_info, w_dir)\n    xtal1, eng = res[\"xtal\"], res[\"energy\"]\n    rep0 = xtal1.get_1D_representation()\n    print(rep0.to_string(eng))\n\n    # Redo it from the 1D. Rep.\n    rep2 = representation.from_string(rep0.to_string(), [smile])\n    xtal2 = rep2.to_pyxtal()\n    res = optimizer(xtal2, c_info, w_dir)\n    xtal2, eng = res[\"xtal\"], res[\"energy\"]\n    rep0 = xtal2.get_1D_representation()\n    print(rep0.to_string(eng))\n\n    pmg1 = xtal1.to_pymatgen()\n    pmg2 = xtal2.to_pymatgen()\n    pmg1.remove_species(\"H\")\n    pmg2.remove_species(\"H\")\n    print(sm.StructureMatcher().fit(pmg1, pmg2))\n\n    reps = [\n    \"81 9.71  6.19 14.25  84.7 1 0 0.21 0.44 0.12 169.6 -16.9  176.2   77.6  9.6   24.9 0\",\n    \"81 8.38 10.06 11.10 107.8 1 0 0.26 0.42 0.31 118.8 -22.6 -111.9 -117.3  0.4   11.9 0\",\n    \"82 9.37  7.92 12.13 111.0 1 0 0.29 0.34 0.10 155.5 -27.6 -161.1   74.6 10.7 -149.8 0\",\n    ]\n    for rep in reps:\n        rep = representation.from_string(rep, [smile])\n        xtal1 = rep.to_pyxtal()\n        check_stable_structure(xtal1, c_info, w_dir, skip_mlp=True, optimizer=optimizer)\n\"\"\"\n 81 11.38 6.48 11.24 96.9 1 0 0.23 0.43 0.03 -44.6 25.0 34.4 -76.6 -5.2 171.5 0 -70594.48\n 81 11.38 6.48 11.24 96.9 1 0 0.23 0.43 0.03 -44.6 25.0 34.4 -76.6 -5.2 171.5 0 -70594.48\nTrue\n\"\"\"\n"
  },
  {
    "path": "pyxtal/plane.py",
    "content": "\"\"\"\nCrystal plane class\n\"\"\"\n\nimport itertools\nfrom math import gcd\nimport numpy as np\n\ndef has_reduction(hkl):\n    h, k, l = hkl\n    gcf = gcd(h, gcd(k, l))\n    if gcf > 1:\n        # like [2, 2, 0]\n        return True\n    elif hkl[np.nonzero(np.array(hkl))[0][0]] < 0:\n        # like [-2, 0, 0]\n        return True\n    return False\n\ndef reduced_hkl(hkl):\n    h, k, l = hkl\n    gcf = gcd(h, gcd(k, l))\n    if gcf > 1:\n        return [int(h / gcf), int(k / gcf), int(l / gcf)], gcf\n    else:\n        return [h, k, l], 1\n\ndef structure_factor(pos, hkl, total=True):\n    coords = np.dot(pos, hkl)\n    F = np.exp(-2 * np.pi * (1j) * coords)\n    if total:\n        return F.sum()\n    else:\n        return F\n\ndef get_dspacing(inv_matrix, hkl):\n    return 1 / np.linalg.norm(inv_matrix.dot(np.array(hkl)))\n\nclass planes:\n    \"\"\"\n    A database class to process crystal data.\n\n    Parameters\n    ----------\n    db_name : str\n        *.db format from ASE database\n    d_min : float\n        Minimum layer spacing\n    cp_factor : float\n        Threshold to skip non-close packed planes\n    \"\"\"\n\n    def __init__(self, extent=6, d_min=1.5, cp_factor=0.5):\n        self.d_min = d_min\n        self.extent = extent\n        self.cp_factor = cp_factor\n        self.set_planes()\n        # self.set_xtal()\n\n    def set_xtal(self, xtal):\n        self.xtal = xtal\n        self.atoms = xtal.to_ase(center_only=True)\n        self.cell_reciprocal = xtal.lattice.inv_matrix\n\n    def set_planes(self):\n        planes = list(itertools.product(\n            range(-self.extent, self.extent + 1), repeat=3))\n        planes = [hkl for hkl in planes if hkl !=\n                  (0, 0, 0) and not has_reduction(hkl)]\n        self.planes = planes\n\n    def get_cp_factor(self, hkl):\n        hkl, hkl_factor = reduced_hkl(hkl)\n        hkl = np.array(hkl)\n        dspacing = get_dspacing(self.cell_reciprocal, hkl)\n        cp_factor = 0\n        for n in range(1, 10):\n            if dspacing / n > self.d_min:\n                _factor = np.abs(self.get_structure_factor(\n                    n * hkl)) / len(self.atoms)\n                if _factor > cp_factor:\n                    cp_factor = _factor\n            else:\n                break\n        return cp_factor\n\n    def search_close_packing_planes(self, N_max=10):\n        \"\"\"\n        Search for the close-packed molecular plane for a given crystal.\n\n        Args:\n            N_max: maximum number of multiples\n        \"\"\"\n        cp_planes = []\n        for hkl in self.planes:\n            dspacing = get_dspacing(self.cell_reciprocal, hkl)\n            for n in range(1, N_max):\n                if dspacing / n > self.d_min:\n                    hkl1 = n * np.array(hkl)\n                    F = self.get_structure_factor(hkl1)\n                    if np.abs(F) >= len(self.atoms) * self.cp_factor:\n                        # Scan the plane with high density\n                        plane = self.get_separation(hkl1)\n                        if plane is not None:\n                            cp_planes.append(plane)\n                        break\n                else:\n                    # early termination for very short ranged hkl\n                    break\n        if len(cp_planes) > 0:\n            cp_planes = sorted(cp_planes, key=lambda x: -x[-1][0])\n        return cp_planes\n\n    def get_structure_factor(self, hkl):\n        return structure_factor(self.atoms.get_scaled_positions(), hkl)\n\n    def get_separation(self, hkl):\n        \"\"\"\n        Compute the separation for the given hkl plane.\n\n        Parameters\n        ----------\n        hkl : array_like\n            Three Miller indices [h,k,l] defining the crystallographic plane.\n\n        Returns\n        -------\n        tuple\n            Contains (hkl, d_spacing, separations) where:\n                - hkl : original Miller indices\n                - d_spacing : interplanar spacing \n                - separations : list of unique slab separations\n        \"\"\"\n        hkl_reduced, hkl_factor = reduced_hkl(hkl)\n        d_spacing = get_dspacing(self.cell_reciprocal, hkl_reduced)\n\n        # Go over each molecule to compute the molecular slab\n        slabs = []\n        for mol_site in self.xtal.mol_sites:\n            N_atoms = len(mol_site.numbers)\n            center_frac = mol_site.position  # fractional\n            xyz, species = mol_site._get_coords_and_species(unitcell=True)\n            for id_mol, op in enumerate(mol_site.wp.ops):\n                start, end = id_mol * N_atoms, (id_mol + 1) * N_atoms\n                coords = xyz[start:end, :]  # frac\n                center_frac = op.operate(mol_site.position)\n                center_frac -= np.floor(center_frac)\n                coords -= center_frac  # place the center to (0, 0, 0)\n                center_hkl = np.dot(center_frac, hkl_reduced)\n                center_hkl -= np.floor(center_hkl)\n                coords_hkl = np.dot(coords, hkl_reduced)\n\n                lower, upper = (\n                    center_hkl + coords_hkl.min(),\n                    center_hkl + coords_hkl.max(),\n                )\n                slabs.append([center_hkl, lower, upper])\n        # if np.abs(hkl-np.array([0, 8, 0])).sum()==0:\n        groups = self.group_slabs(slabs, 0.5 / hkl_factor)\n        groups = self.group_slabs(groups, 0.5 / hkl_factor)\n        # print(hkl); print(groups)\n        separations = self.find_unique_separations(groups, d_spacing)\n        return (hkl, d_spacing / abs(hkl_factor), separations)\n\n    def group_slabs(self, slabs, tol):\n        groups = []\n        for slab in slabs:\n            new = True\n            center, lower, upper = slab\n            for group in groups:\n                # Center is within the group\n                if (\n                    group[1] <= center <= group[2]\n                    or lower >= group[1]\n                    and upper <= group[2]\n                    or lower <= group[1]\n                    and upper >= group[2]\n                ):\n                    new = False\n                # to include\n                elif lower - 1 <= group[1] and upper - 1 >= group[2] or lower - 1 >= group[1] and upper - 1 <= group[2]:\n                    center, lower, upper = center - 1, lower - 1, upper - 1\n                    new = False\n                else:\n                    dist = center - group[0]\n                    shift = np.rint(dist)\n                    if abs(dist - shift) < tol:\n                        new = False\n                        lower -= shift\n                        upper -= shift\n\n                if not new:\n                    # Update group\n                    if lower < group[1]:\n                        group[1] = lower\n                    if upper > group[2]:\n                        group[2] = upper\n                    center = (group[1] + group[2]) / 2\n                    break\n            if new:\n                groups.append([center, lower, upper])\n        return sorted(groups)\n\n    def find_unique_separations(self, groups, d):\n        groups.append(groups[0])\n        groups[-1] = [g + 1 for g in groups[-1]]\n        separations = []\n        for i in range(len(groups) - 1):\n            separations.append(d * (groups[i + 1][1] - groups[i][2]))\n        separations = np.unique(-1 * np.array(separations).round(decimals=3))\n        return -np.sort(separations)\n\n    def gather(self, planes, tol=-0.1):\n        output = []\n        for _plane in planes:\n            (hkl, d, separations) = _plane\n            if separations[0] <= d:\n                if separations[0] > tol:\n                    for separation in separations:\n                        if separation > tol:\n                            p = plane(hkl, self.cell_reciprocal, separation)\n                            print(p)\n                            output.append(_plane)\n                else:\n                    break\n        return output\n\n\nclass plane:\n    \"\"\"\n    This simplest possible plane object\n    \"\"\"\n\n    def __init__(self, hkl, cell_reciprocal, separation=None):\n        self.indices = hkl\n        self.cell_reciprocal = cell_reciprocal\n        self.simple_indices, self.factor = reduced_hkl(hkl)\n        self.d_spacing = get_dspacing(self.cell_reciprocal, self.indices)\n        self.separation = separation\n\n    def __str__(self):\n        s = \"({:2d} {:2d} {:2d})\".format(*self.indices)\n        s += f\" Spacing: {self.d_spacing:6.3f}\"\n        s += f\" Separation: {self.separation:6.3f}\"\n        return s\n\n\nif __name__ == \"__main__\":\n\n    import sys\n    from pyxtal.db import database\n\n    try:\n        from ccdc import io\n        from ccdc.particle import SlipPlanes\n\n        csd = io.EntryReader(\"CSD\")\n    except:\n        csd = None\n        print(\"Cannot import ccdc to check\")\n\n    db = database(\"pyxtal/database/mech.db\")\n\n    if len(sys.argv) == 1:\n        codes = [\"ANLINB02\", \"ADIPAC\", \"CHEXDC\"]\n        for code in [c for c in db.codes if c not in codes]:\n            # for code in codes:\n            print(\"\\n\", code)\n            p = planes()\n            p.set_xtal(db.get_pyxtal(code))\n            cp_planes = p.search_close_packing_planes()\n            ps = p.gather(cp_planes, 0)\n\n            # Crossvalidation with csd_python\n            if csd is not None:\n                splanes = SlipPlanes(csd.crystal(code))\n                splanes = [\n                    splane\n                    for splane in splanes\n                    if splane.repeat_distance > p.d_min and \\\n                    p.get_cp_factor(list(splane.orientation.hkl)) > p.cp_factor\n                ]\n                if len(splanes) > len(ps):\n                    for splane in splanes:\n                        print(\n                            code,\n                            splane.orientation,\n                            round(splane.repeat_distance, 3),\n                            round(splane.slab_separation, 3),\n                        )\n    else:\n        data = [\n            (\"UCECAG01\", [3, 0, -2]),\n            (\"PIDGOZ\", [1, 0, 2]),\n        ]\n        p = planes(cp_factor=0.2)\n        for code, hkl in data:\n            print(hkl, tuple(hkl) in p.planes)\n            p.set_xtal(db.get_pyxtal(code))\n            print(code, hkl, p.get_separation(hkl))\n"
  },
  {
    "path": "pyxtal/potentials/CuAg.eam.alloy",
    "content": " Cu-Ag EAM from P.L. Williams, et al., MSMSE 14, 817-833 (2006).         \n LAMMPS setfl format.  Conversion by C. A. Becker from Y. Mishin files.  \n 4 February 2009.  http://www.ctcms.nist.gov/potentials                  \n            2 Cu  Ag  \n10000   0.1200000000000000E-02   10000  0.5995011000293093E-03  0.5995011000293092E+01\n   29    0.6354600000E+02    0.3615000000E+01      fcc                                                                     \n  -0.2009305244618509E-06\n  -0.1275420290284206E-01\n  -0.2543348139078685E-01\n  -0.3803843132713885E-01\n  -0.5056944764467803E-01\n  -0.6302692527618444E-01\n  -0.7541125915443805E-01\n  -0.8772284422152833E-01\n  -0.9996207597811329E-01\n  -0.1121293507906322E+00\n  -0.1242250651000000E+00\n  -0.1362496140903526E+00\n  -0.1482033879187091E+00\n  -0.1600867754853093E+00\n  -0.1719001654415133E+00\n  -0.1836439435454545E+00\n  -0.1953184936886685E+00\n  -0.2069241996965181E+00\n  -0.2184614432906001E+00\n  -0.2299306029316747E+00\n  -0.2413320568000000E+00\n  -0.2526661821756813E+00\n  -0.2639333527382136E+00\n  -0.2751339412669397E+00\n  -0.2862683202725516E+00\n  -0.2973368591426804E+00\n  -0.3083399252500794E+00\n  -0.3192778859009844E+00\n  -0.3301511064254830E+00\n  -0.3409599490906314E+00\n  -0.3517047759000000E+00\n  -0.3623859479695218E+00\n  -0.3730038228645815E+00\n  -0.3835587572629268E+00\n  -0.3940511075826061E+00\n  -0.4044812272226650E+00\n  -0.4148494676344051E+00\n  -0.4251561802045908E+00\n  -0.4354017143954885E+00\n  -0.4455864166863933E+00\n  -0.4557106333000000E+00\n  -0.4657747095993849E+00\n  -0.4757789875091471E+00\n  -0.4857238080942668E+00\n  -0.4956095121671317E+00\n  -0.5054364376037430E+00\n  -0.5152049203856595E+00\n  -0.5249152964316991E+00\n  -0.5345678997907166E+00\n  -0.5441630616131229E+00\n  -0.5537011128000000E+00\n  -0.5631823834191647E+00\n  -0.5726072002053689E+00\n  -0.5819758890600991E+00\n  -0.5912887756393440E+00\n  -0.6005461827451914E+00\n  -0.6097484313385008E+00\n  -0.6188958423192556E+00\n  -0.6279887347760499E+00\n  -0.6370274249898239E+00\n  -0.6460122290000000E+00\n  -0.6549434620345529E+00\n  -0.6638214360756688E+00\n  -0.6726464622940859E+00\n  -0.6814188516229772E+00\n  -0.6901389122338076E+00\n  -0.6988069505162966E+00\n  -0.7074232728012042E+00\n  -0.7159881836634920E+00\n  -0.7245019849566346E+00\n  -0.7329649783000000E+00\n  -0.7413774645231786E+00\n  -0.7497397412966529E+00\n  -0.7580521055011273E+00\n  -0.7663148537882457E+00\n  -0.7745282801468132E+00\n  -0.7826926768476752E+00\n  -0.7908083361044263E+00\n  -0.7988755484135610E+00\n  -0.8068946016100709E+00\n  -0.8148657833000000E+00\n  -0.8227893803308538E+00\n  -0.8306656765159810E+00\n  -0.8384949549101911E+00\n  -0.8462774983442502E+00\n  -0.8540135870444107E+00\n  -0.8617034995565957E+00\n  -0.8693475143712380E+00\n  -0.8769459083297358E+00\n  -0.8844989557174824E+00\n  -0.8920069306000000E+00\n  -0.8994701063041230E+00\n  -0.9068887532019335E+00\n  -0.9142631409268260E+00\n  -0.9215935388947484E+00\n  -0.9288802139938312E+00\n  -0.9361234314813556E+00\n  -0.9433234565610039E+00\n  -0.9504805528513861E+00\n  -0.9575949815142499E+00\n  -0.9646670035000001E+00\n  -0.9716968790260539E+00\n  -0.9786848653778797E+00\n  -0.9856312191079580E+00\n  -0.9925361965720382E+00\n  -0.9994000518388690E+00\n  -0.1006223037501714E+01\n  -0.1013005406100759E+01\n  -0.1019747408466989E+01\n  -0.1026449292782126E+01\n  -0.1033111307000000E+01\n  -0.1039733698454470E+01\n  -0.1046316711999516E+01\n  -0.1052860591869150E+01\n  -0.1059365582084055E+01\n  -0.1065831924184981E+01\n  -0.1072259858112721E+01\n  -0.1078649623756026E+01\n  -0.1085001459481188E+01\n  -0.1091315601294685E+01\n  -0.1097592285000000E+01\n  -0.1103831745757026E+01\n  -0.1110034216151294E+01\n  -0.1116199928124745E+01\n  -0.1122329113417089E+01\n  -0.1128422001417092E+01\n  -0.1134478819996790E+01\n  -0.1140499796979887E+01\n  -0.1146485158807235E+01\n  -0.1152435129776258E+01\n  -0.1158349934000000E+01\n  -0.1164229794902177E+01\n  -0.1170074933149187E+01\n  -0.1175885568718101E+01\n  -0.1181661921403349E+01\n  -0.1187404208876216E+01\n  -0.1193112647438207E+01\n  -0.1198787453344849E+01\n  -0.1204428841462611E+01\n  -0.1210037024504921E+01\n  -0.1215612215000000E+01\n  -0.1221154624839772E+01\n  -0.1226664463370973E+01\n  -0.1232141939304042E+01\n  -0.1237587261160755E+01\n  -0.1243000635269687E+01\n  -0.1248382266544445E+01\n  -0.1253732359854949E+01\n  -0.1259051118864989E+01\n  -0.1264338745368850E+01\n  -0.1269595441000000E+01\n  -0.1274821406689680E+01\n  -0.1280016840560221E+01\n  -0.1285181940031732E+01\n  -0.1290316902373404E+01\n  -0.1295421923100061E+01\n  -0.1300497196594674E+01\n  -0.1305542917197815E+01\n  -0.1310559277837967E+01\n  -0.1315546469254874E+01\n  -0.1320504682000000E+01\n  -0.1325434106057906E+01\n  -0.1330334929145529E+01\n  -0.1335207338412901E+01\n  -0.1340051520838222E+01\n  -0.1344867661402126E+01\n  -0.1349655943796500E+01\n  -0.1354416551670661E+01\n  -0.1359149667408722E+01\n  -0.1363855471433720E+01\n  -0.1368534144000000E+01\n  -0.1373185864817218E+01\n  -0.1377810811416280E+01\n  -0.1382409160783402E+01\n  -0.1386981089727053E+01\n  -0.1391526772989360E+01\n  -0.1396046383979328E+01\n  -0.1400540096065791E+01\n  -0.1405008081540491E+01\n  -0.1409450511025681E+01\n  -0.1413867555000000E+01\n  -0.1418259383348757E+01\n  -0.1422626163583938E+01\n  -0.1426968062624201E+01\n  -0.1431285247243020E+01\n  -0.1435577882526138E+01\n  -0.1439846132470436E+01\n  -0.1444090161033217E+01\n  -0.1448310130885731E+01\n  -0.1452506202705857E+01\n  -0.1456678537000000E+01\n  -0.1460827293785438E+01\n  -0.1464952631122944E+01\n  -0.1469054706584163E+01\n  -0.1473133677595920E+01\n  -0.1477189699901490E+01\n  -0.1481222928157988E+01\n  -0.1485233516982949E+01\n  -0.1489221619705505E+01\n  -0.1493187387657752E+01\n  -0.1497130972000000E+01\n  -0.1501052523460465E+01\n  -0.1504952191038991E+01\n  -0.1508830123303330E+01\n  -0.1512686468665131E+01\n  -0.1516521373721357E+01\n  -0.1520334983898206E+01\n  -0.1524127444584418E+01\n  -0.1527898900092000E+01\n  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-0.1134402308170695E-06\n  -0.1046847331498340E-06\n  -0.9645059161480980E-07\n  -0.8871597493895232E-07\n  -0.8146004220689907E-07\n  -0.7466229522691769E-07\n  -0.6830237106354744E-07\n  -0.6236086085681159E-07\n  -0.5681874439152288E-07\n  -0.5165710953775538E-07\n  -0.4685795594491799E-07\n  -0.4240371843471093E-07\n  -0.3827691779186291E-07\n  -0.3446093939137467E-07\n  -0.3093965011121986E-07\n  -0.2769698550495565E-07\n  -0.2471769460288571E-07\n  -0.2198705327321040E-07\n  -0.1949039340244393E-07\n  -0.1721380629152731E-07\n  -0.1514395369922663E-07\n  -0.1326754517107627E-07\n  -0.1157199355675107E-07\n  -0.1004532338514635E-07\n  -0.8675602963295958E-08\n  -0.7451546566767644E-08\n  -0.6362518307834725E-08\n  -0.5397926096573271E-08\n  -0.4547766190678497E-08\n  -0.3802719334037843E-08\n  -0.3153513913148414E-08\n  -0.2591409027239110E-08\n  -0.2108378265849283E-08\n  -0.1696450336874853E-08\n  -0.1348129379225287E-08\n  -0.1056661232351341E-08\n  -0.8153578689477314E-09\n  -0.6179488069650901E-09\n  -0.4589200065586853E-09\n  -0.3328372343084045E-09\n  -0.2346427481544986E-09\n  -0.1600729734912285E-09\n  -0.1049640457331222E-09\n  -0.6544255715499867E-10\n  -0.3835113130557141E-10\n  -0.2063967530373885E-10\n  -0.9622518154270082E-11\n  -0.3666213685136709E-11\n  -0.1325171727450418E-11\n  -0.1090255453253042E-11\n  -0.1238237443662442E-11\n"
  },
  {
    "path": "pyxtal/potentials/LJ_cluster.py",
    "content": "import numpy as np\nfrom scipy.spatial.distance import cdist, pdist\n\n\"\"\"\nLJ energy and force functions\n\"\"\"\n\n\ndef LJ(pos, dim, mu=0.1, shift=False):\n    \"\"\"\n    Calculate the total energy\n    Args:\n    pos: 1D array with N*dim numbers representing the atomic positions\n    dim: dimension of the hyper/normal space\n    output\n    E: the total energy with punishing function\n    \"\"\"\n    N_atom = int(len(pos) / dim)\n    pos = np.reshape(pos, (N_atom, dim))\n\n    distance = pdist(pos)\n    r6 = np.power(distance, 6)\n    r12 = np.multiply(r6, r6)\n    Eng = np.sum(4 * (1 / r12 - 1 / r6))\n\n    if dim > 3:\n        norm = 0\n        for i in range(3, dim):\n            diff = pos[:, i] - np.mean(pos[:, i]) if shift else pos[:, i]\n            norm += np.sum(np.power(diff, 2))\n        Eng += 0.5 * mu * norm\n    return Eng\n\n\ndef LJ_force(pos, dim, mu=0.1, shift=False):\n    N_atom = int(len(pos) / dim)\n    pos = np.reshape(pos, [N_atom, dim])\n    force = np.zeros([N_atom, dim])\n    for i, pos0 in enumerate(pos):\n        pos1 = pos.copy()\n        pos1 = np.delete(pos1, i, 0)\n        distance = cdist([pos0], pos1)\n        r = pos1 - pos0\n        r2 = np.power(distance, 2)\n        r6 = np.power(r2, 3)\n        r12 = np.power(r6, 2)\n        force[i] = np.dot((48 / r12 - 24 / r6) / r2, r)\n        # force from the punish function mu*sum([x-mean(x)]^2)\n        if dim > 3:\n            for j in range(3, dim):\n                if shift:\n                    force[i, j] += mu * (pos[i, j] - np.mean(pos[:, j]))\n                else:\n                    force[i, j] += mu * pos[i, j]\n    return force.flatten()\n"
  },
  {
    "path": "pyxtal/potentials/Si.tersoff",
    "content": "# DATE: 2007-10-25 CONTRIBUTOR: Aidan Thompson, athomps@sandia.gov CITATION: Tersoff, Phys Rev B, 37, 6991 (1988) \n# Tersoff parameters for various elements and mixtures\n# multiple entries can be added to this file, LAMMPS reads the ones it needs\n# these entries are in LAMMPS \"metal\" units:\n#   A,B = eV; lambda1,lambda2,lambda3 = 1/Angstroms; R,D = Angstroms\n#   other quantities are unitless\n# This is the Si parameterization from a particular Tersoff paper:\n# J. Tersoff, PRB, 37, 6991 (1988) \n# See the SiCGe.tersoff file for different Si variants.\n# format of a single entry (one or more lines):\n#   element 1, element 2, element 3, \n#   m, gamma, lambda3, c, d, costheta0, n, beta, lambda2, B, R, D, lambda1, A\nSi  Si   Si  3.0 1.0 1.3258 4.8381 2.0417 0.0000 22.956\n             0.33675  1.3258  95.373  3.0  0.2  3.2394  3264.7\n"
  },
  {
    "path": "pyxtal/potentials/SiCGe.tersoff",
    "content": "# DATE: 2009-03-18 CONTRIBUTOR: Aidan Thompson, athomps@sandia.gov CITATION: Tersoff, Phys Rev B, 39, 5566 (1989)\n# Tersoff parameters for various elements and mixtures\n# multiple entries can be added to this file, LAMMPS reads the ones it needs\n# these entries are in LAMMPS \"metal\" units:\n#   A,B = eV; lambda1,lambda2,lambda3 = 1/Angstroms; R,D = Angstroms\n#   other quantities are unitless\n# Aidan Thompson (athomps at sandia.gov) takes full blame for this\n# file.  It specifies various potentials published by J. Tersoff for\n# silicon, carbon and germanium. Since Tersoff published several\n# different silicon potentials, I refer to them using atom types\n# Si(B), Si(C) and Si(D). The last two are almost almost identical but\n# refer to two different publications. These names should be used in\n# the LAMMPS command when the file is invoked. For example:\n# pair_coeff * * SiCGe.tersoff Si(B).  The Si(D), C and Ge potentials\n# can be used pure silicon, pure carbon, pure germanium, binary SiC,\n# and binary SiGe, but not binary GeC or ternary SiGeC. LAMMPS will\n# generate an error if this file is used with any combination\n# involving C and Ge, since there are no entries for the GeC\n# interactions (Tersoff did not publish parameters for this\n# cross-interaction.)\n# format of a single entry (one or more lines):\n#   element 1, element 2, element 3, \n#   m, gamma, lambda3, c, d, costheta0, n, beta, lambda2, B, R, D, lambda1, A\n# The original Tersoff potential for Silicon, Si(B)\n# J. Tersoff, PRB, 37, 6991 (1988) \nSi(B)  Si(B)   Si(B)  3.0 1.0 1.3258 4.8381 2.0417 0.0000 22.956\n             0.33675  1.3258  95.373  3.0  0.2  3.2394  3264.7\n# The later Tersoff potential for Silicon, Si(C)\n# J. Tersoff, PRB, 38, 9902 (1988) \nSi(C)  Si(C)   Si(C)  3.0 1.0 1.7322 1.0039e5 16.218 -0.59826 0.78734\n             1.0999e-6  1.7322  471.18  2.85  0.15  2.4799  1830.8\n# The later Tersoff potential for Carbon, Silicon, and Germanium\n# J. Tersoff, PRB, 39, 5566 (1989) + errata (PRB 41, 3248)\n# The Si and C parameters are very close to those in SiC.tersoff\nC      C       C         3.0 1.0 0.0 3.8049e4 4.3484 -0.57058 0.72751 1.5724e-7  2.2119  346.74    1.95    0.15   3.4879  1393.6\nSi(D)  Si(D)   Si(D)     3.0 1.0 0.0 1.0039e5 16.217 -0.59825 0.78734 1.1000e-6  1.7322  471.18    2.85    0.15   2.4799  1830.8\nGe     Ge      Ge        3.0 1.0 0.0 1.0643e5 15.652 -0.43884 0.75627 9.0166e-7  1.7047  419.23    2.95    0.15   2.4451  1769.0\nC      Si(D)   Si(D)     3.0 1.0 0.0 3.8049e4 4.3484 -0.57058 0.72751 1.5724e-7  1.97205 395.1451  2.3573  0.1527 2.9839  1597.3111\nC      Si(D)   C         3.0 1.0 0.0 3.8049e4 4.3484 -0.57058 0.72751 0.0        0.0     0.0       1.95    0.15   0.0     0.0\nC      C       Si(D)     3.0 1.0 0.0 3.8049e4 4.3484 -0.57058 0.72751 0.0        0.0     0.0       2.3573  0.1527 0.0     0.0\nSi(D)  C       C         3.0 1.0 0.0 1.0039e5 16.217 -0.59825 0.78734 1.1000e-6  1.97205 395.1451  2.3573  0.1527 2.9839  1597.3111\nSi(D)  Si(D)   C         3.0 1.0 0.0 1.0039e5 16.217 -0.59825 0.78734 0.0        0.0     0.0       2.3573  0.1527 0.0     0.0\nSi(D)  C       Si(D)     3.0 1.0 0.0 1.0039e5 16.217 -0.59825 0.78734 0.0        0.0     0.0       2.85    0.15   0.0     0.0\n \nSi(D)  Ge      Ge        3.0 1.0 0.0 1.0039e5 16.217 -0.59825 0.78734 1.1000e-6  1.71845 444.7177  2.8996  0.1500 2.4625  1799.6347\nSi(D)  Si(D)   Ge        3.0 1.0 0.0 1.0039e5 16.217 -0.59825 0.78734 0.0        0.0     0.0       2.8996  0.1500 0.0     0.0\nSi(D)  Ge      Si(D)     3.0 1.0 0.0 1.0039e5 16.217 -0.59825 0.78734 0.0        0.0     0.0       2.85    0.15   0.0     0.0\n \nGe     Si(D)   Si(D)     3.0 1.0 0.0 1.0643e5 15.652 -0.43884 0.75627 9.0166e-7  1.71845 444.7177  2.8996  0.1500 2.4625  1799.6347\nGe     Si(D)   Ge        3.0 1.0 0.0 1.0643e5 15.652 -0.43884 0.75627 0.0        0.0     0.0       2.95    0.15   0.0     0.0\nGe     Ge      Si(D)     3.0 1.0 0.0 1.0643e5 15.652 -0.43884 0.75627 0.0        0.0     0.0       2.8996  0.1500 0.0     0.0\n\n"
  },
  {
    "path": "pyxtal/potentials/__init__.py",
    "content": "name = \"pbcgb/potentials\"\n"
  },
  {
    "path": "pyxtal/reciprocal.py",
    "content": "\"\"\"\nModule for Reciprocal Representation Simulation\n\"\"\"\nimport importlib.resources\nimport numpy as np\nfrom monty.serialization import loadfn\nfrom pyxtal.database.element import Element\nfrom pyxtal.XRD import create_index\nimport torch\nfrom e3nn.o3 import spherical_harmonics\n\nwith importlib.resources.as_file(\n    importlib.resources.files(\"pyxtal\") / \"database\" / \"atomic_scattering_params.json\"\n) as path:\n    ATOMIC_SCATTERING_PARAMS = loadfn(path)\n\ndef bessel_basis(r, nmax=6, r_cut=0.24):\n    \"\"\"\n    Spherical Bessel basis functions - excellent for reciprocal space\n    \"\"\"\n    from scipy.special import spherical_jn\n\n    r_numpy = r.cpu().numpy()\n    r_scaled = r_numpy / r_cut * (nmax + 1) * np.pi\n\n    basis = torch.zeros((r.shape[0], nmax), dtype=r.dtype, device=r.device)\n    for n in range(nmax):\n        # Add small offset to avoid singularity at r=0\n        jn = spherical_jn(n, r_scaled + 1e-10)\n        #basis[:, n] = torch.tensor(jn, dtype=r.dtype, device=r.device)\n        basis[:, n] = torch.tensor(jn, dtype=r.dtype, device=r.device).view(-1)\n\n    return basis\n\ndef gto_basis(r, nmax=6, r_cut=0.24):\n    \"\"\"\n    Create a set of radial basis functions\n\n    Args:\n        r: radial distances, shape (N, 1)\n        nmax: maximum radial quantum number\n        r_cut: cutoff radius for normalization (defaults to max radius)\n\n    Returns:\n        Tensor of shape (N, nmax)\n    \"\"\"\n    # Scale r to [0, 1] range\n    r_scaled = r / r_cut\n\n    # Create empty tensor to hold basis functions\n    if isinstance(r, torch.Tensor):\n        basis = torch.zeros((r.shape[0], nmax), dtype=r.dtype, device=r.device)\n    else:\n        basis = np.zeros((r.shape[0], nmax))\n\n    # Fill with basis functions (Gaussian-type orbitals)\n    for n in range(nmax):\n        # GTO-like function: r^n * exp(-alpha * r^2)\n        alpha = 1.0 / (n + 1)  # Different width for each basis function\n        basis[:, n] = ((r_scaled ** n) * torch.exp(-alpha * r_scaled ** 2)).view(-1)\n\n    return basis  # Shape (N, nmax)\n\ndef chebyshev_basis(r, nmax=6, r_cut=0.24):\n    \"\"\"\n    Chebyshev polynomial basis - excellent for oscillatory features\n    \"\"\"\n\n    # Scale r to [-1, 1] range for Chebyshev polynomials\n    r_scaled = 2 * (r / r_cut) - 1\n    basis = torch.zeros((r.shape[0], nmax), dtype=r.dtype, device=r.device)\n\n    # T0(x) = 1, T1(x) = x\n    basis[:, 0] = 1\n    if nmax > 1:\n        basis[:, 1] = r_scaled.view(-1)\n\n    # Recurrence relation: Tn+1(x) = 2x*Tn(x) - Tn-1(x)\n    for n in range(2, nmax):\n        basis[:, n] = 2 * r_scaled.view(-1) * basis[:, n-1] - basis[:, n-2]\n\n    return basis\n\nclass RECP:\n    \"\"\"\n    A class to compute the crystal in the reciprocal space.\n\n    Args:\n        d_max (float): maximum d-spacing to consider in the reciprocal space\n        nmax: int, degree of radial expansion\n        lmax: int, degree of spherical harmonic expansion\n        alpha: float, gaussian width parameter\n    \"\"\"\n\n    def __init__(self, dmax=6.0, nmax=4, lmax=4, rbasis='chebyshev', res=0.1, sigma=None):\n        self.dmax = dmax\n        self.nmax = nmax\n        self.lmax = lmax\n        self.num_bins = int(np.ceil(self.dmax / res))\n        self.res = res\n        if sigma is None: sigma = 5*self.res\n        self.sigma = sigma\n        self.rbasis = rbasis\n        self.rcut = 0.5 * self.dmax / np.pi\n\n    def __str__(self):\n        s = \"Reciprocal space expansion with Cutoff: {self.dmax:6.3f} per Ang\\n\"\n        s += \"lmax: {self.lmax}, nmax: {self.nmax}, alpha: {self.alpha:.3f}\\n\"\n        return s\n\n    def __repr__(self):\n        return str(self)\n\n    def build_reciprocal(self, atoms):\n        \"\"\"\n        3x3 representation -> 1x6 (a, b, c, alpha, beta, gamma)\n        \"\"\"\n        #print(atoms)\n        rec_matrix = atoms.cell.reciprocal()\n        hkl_index = create_index()\n        hkl_max = np.array([1, 1, 1])\n        hkl_min = np.array([-1, -1, -1])\n\n        for index in hkl_index:\n            d = np.linalg.norm(np.dot(index, rec_matrix)) * (2 * np.pi)\n            multiple = int(np.ceil(self.dmax / d))\n            index *= multiple\n            for i in range(len(hkl_max)):\n                if hkl_max[i] < index[i]:\n                    hkl_max[i] = index[i]\n                if hkl_min[i] > index[i]:\n                    hkl_min[i] = index[i]\n        h0, k0, l0 = hkl_min\n        h1, k1, l1 = hkl_max\n        h = np.arange(h0, h1 + 1)\n        k = np.arange(k0, k1 + 1)\n        l = np.arange(l0, l1 + 1)\n\n        hkl = np.array(np.meshgrid(h, k, l)).transpose()\n        hkl = np.reshape(hkl, [len(h) * len(k) * len(l), 3])\n        hkl = hkl[np.where(hkl.any(axis=1))[0]]\n        d_hkl = np.linalg.norm(hkl@rec_matrix, axis=1) * (2 * np.pi)\n\n        mask = np.where(d_hkl < self.dmax)[0]\n        hkl, d_hkl = hkl[mask], d_hkl[mask]\n        #print(\"hkl_max\", h0, h1, k0, k1, l0, l1, d_hkl.shape, \"d_hkl\", d_hkl.min(), d_hkl.max())\n\n        N_atoms = len(atoms)\n        s2 = d_hkl ** 2 / (16 * np.pi ** 2)\n        # Compute the atomic scattering factors\n        coeffs = np.zeros([N_atoms, 4, 2])\n        zs = np.zeros([N_atoms, 1], dtype=int)\n        for i, elem in enumerate(atoms.get_chemical_symbols()):\n            coeffs[i, :, :] = ATOMIC_SCATTERING_PARAMS[elem]\n            zs[i] = Element(elem).z\n\n        tmp1 = np.exp(np.einsum(\"ij,k->ijk\", -coeffs[:, :, 1], s2))  # N*4, M\n        tmp2 = np.einsum(\"ij,ijk->ik\", coeffs[:, :, 0], tmp1)  # N*4, N*M\n        sfs = np.add(-41.78214 * np.einsum(\"ij,j->ij\", tmp2, s2), zs)  # N*M, M -> N*M\n        # to add dampling factor to ensure the decay to 0?\n\n        # Compute the structure factors\n        const = -2j * np.pi\n        positions = atoms.get_scaled_positions()#; print(\"positions\", positions)\n        g_dot_rs = np.dot(positions, hkl.T)  # N_atoms * M_hkl\n        exps = np.exp(const * g_dot_rs)\n        fs = np.sum(sfs * exps, axis=0)\n        intensities = (fs * fs.conjugate()).real  # M\n        masks = np.where(intensities > 1e-4)[0]\n        hkl, intensities, d_hkl, fs = hkl[masks], intensities[masks], d_hkl[masks], fs[masks]\n        sfs = sfs[:, masks]\n        I0 = np.sum(zs)**2\n        intensities /= I0  # Normalize the intensities\n        intensities *= np.cos(0.5 * np.pi * d_hkl / self.dmax)  # Apply the Gaussian factor\n        #print(\"intensities\", intensities.shape, intensities.min(), intensities.max())\n        #max_idx = np.argmax(intensities); print(\"max\", intensities[max_idx], hkl[max_idx], d_hkl[max_idx], fs[max_idx])\n        #min_idx = np.argmin(intensities); print(\"min\", intensities[min_idx], hkl[min_idx], d_hkl[min_idx], fs[min_idx])\n        # find the id of hkl=[1,1,1]\n        #id_111 = np.where(np.all(hkl == [1, 1, 1], axis=1))[0]\n        #if len(id_111) > 0:\n        #    print(\"hkl=[1,1,1]\", intensities[id_111], d_hkl[id_111], sfs[0, id_111], fs[id_111])\n        return hkl@rec_matrix, intensities, d_hkl\n\n    def compute(self, atoms, norm=False):\n        \"\"\"\n        d for any give abitray [h,k,l] index\n        \"\"\"\n        coords, vals, ds = self.build_reciprocal(atoms)\n        p = self.compute_sph_torch(coords, vals, norm=norm)\n        #print(\"\\np shape:\", p.shape, \"p min:\", p.min(), \"p max:\", p.max())\n        rdf = self.compute_rdf(ds, vals)\n        #D = np.concatenate([p, rdf], axis=0)\n        #print(\"D shape:\", D.shape, \"D min:\", D.min(), \"D max:\", D.max())\n\n        return p, rdf\n\n    def compute_rdf(self, ds, vals):\n        \"\"\"\n        Get the radial distribution function (RDF) from the d-spacing and values.\n        \"\"\"\n        from scipy.ndimage import gaussian_filter1d\n\n        bins = np.linspace(0, self.dmax, self.num_bins)\n        rdf, _ = np.histogram(ds, bins=bins, weights=vals)\n        rdf = gaussian_filter1d(rdf, sigma=self.sigma)\n        #ids = np.where(rdf > 0.01)[0]; print(len(ds)); print(\"loc\", bins[ids][:5]); print(\"pek\", rdf[ids][:5])\n        #print(\"rdf shape:\", rdf.shape, \"rdf min:\", rdf.min(), \"rdf max:\", rdf.max())\n        return rdf\n\n    def compute_sph_torch(self, xyz, v, norm=False):\n        \"\"\"\n        Compute a descriptor using spherical harmonics and radial basis functions.\n\n        Args:\n            xyz: Tensor of shape (N, 3) representing 3D coordinates.\n            v: Tensor of shape (N,) representing scalar values at each point.\n            norm: Whether to normalize the final descriptor.\n\n        Returns:\n            Tensor of shape (sum(2l+1) * nmax,) representing the descriptor.\n        \"\"\"\n        # Convert NumPy arrays to PyTorch tensors\n        xyz = torch.tensor(xyz, dtype=torch.float32)\n        v = torch.tensor(v, dtype=torch.float32).view(-1, 1)  # Add a dimension for repeat\n        r_hat = xyz / (torch.norm(xyz, dim=1, keepdim=True) + 1e-12)  # unit direction\n        r = torch.norm(xyz, dim=1, keepdim=True)  # radial distances\n        #print(\"Debug xyz\", xyz.shape, \"r_hat\", r_hat, \"r\", r)\n\n        # Compute spherical harmonics up to lmax\n        if self.rbasis == 'chebyshev':\n            R = chebyshev_basis(r, self.nmax, self.rcut)\n        elif self.rbasis == 'gto':\n            R = gto_basis(r, self.nmax, self.rcut)\n        else:\n            R = bessel_basis(r, self.nmax, self.rcut)\n        #print(\"Debug Radial\", R)\n\n        degrees = list(range(0, self.lmax + 1))\n        #degrees = list(range(0, self.lmax + 1, 2))\n        Y = spherical_harmonics(degrees, r_hat, normalize=False, normalization='norm')#component')\n        #Y = spherical_harmonics(degrees, r_hat, normalize=False, normalization='component')\n        #print(\"Debug Spherical\", Y.shape, \"Y min:\", Y.min(), \"Y max:\", Y.max())\n\n        descriptor = []\n        # For each radial basis function\n        for n in range(self.nmax):\n            r_basis = R[:, n:n+1]  # Shape (N, 1)\n\n            # Weight the spherical harmonics by this radial basis\n            f_n = v * r_basis * Y  # Shape (N, sum(2l+1))\n\n            # Process by angular momentum\n            offset = 0\n            for l in degrees:\n                #print(f\"\\nDebug l={l}, n={n}, offset={offset}\")\n                dim = 2 * l + 1\n                Y_l = f_n[:, offset:offset + dim]\n                c_nl = torch.sum(Y_l, dim=0)  # Weighted sum over all points\n                power_l = torch.mean(c_nl ** 2)\n                #print(f\"\\nDebug Y_l at basis {n}, l={l}\")\n                #print(\"point 0\", Y_l[0, :], (Y_l[0, :]**2).sum())\n                #print(\"point 1\", Y_l[1, :], (Y_l[1, :]**2).sum())\n                #print(\"point 2\", Y_l[2, :], (Y_l[2, :]**2).sum())\n                #print(\"Total power:\", power_l.item())\n\n                descriptor.append(power_l)\n                offset += dim\n        descriptor = torch.stack(descriptor)\n        if norm:\n            norm = torch.linalg.norm(descriptor)\n            descriptor /= (norm + 1e-9)  # Add epsilon for stability\n        return descriptor\n\n    def plot(self, data, filename='reciprocal.png'):\n        \"\"\"\n        Plot the computed reciprocal space representation and RDF.\n\n        Args:\n            data: Tuple of (rdf, p, label) where rdf is the radial distribution function\n                  and p is the expansion coefficients, label is a string for the plot title.\n            filename: Name of the file to save the plot.\n        \"\"\"\n        import matplotlib.pyplot as plt\n\n        plt.figure(figsize=(12, 4))\n        plt.subplot(1, 2, 1)\n        for (p, rdf, label) in data:\n            #plt.plot(p, label=label, alpha=0.5, lw=0.9, marker='o', markersize=3, linestyle='-')\n            plt.plot(p, label=label, alpha=0.5, lw=0.9)\n\n        plt.xlabel(f'Index ({len(p)})')\n        plt.ylabel('Expansion Coefficients')\n        plt.legend(loc=1)\n\n        plt.subplot(1, 2, 2)\n        x = np.linspace(0, self.rcut, len(rdf))\n        for (p, rdf, label) in data:\n            plt.plot(x, rdf, label=label, alpha=0.5, lw=0.9)\n        plt.xlabel(f'd-spacing (per Angstrom)')\n        plt.ylabel('RDF')\n        plt.legend(loc=1)\n\n        plt.tight_layout()\n        plt.savefig(filename, dpi=300)\n        plt.close()\n\n    def reconstruction(self, spg, wps, elements, rep0, P_ref, rdf_ref, verbose=False):\n        \"\"\"\n        Generate a crystal with the desired local P_ref\n\n        Args:\n            spg (int): pyxtal.symmetry.Group object\n            wps: list of wps for the disired crystal (e.g., [wp1, wp2])\n            P_ref: reference enviroment\n\n        Returns:\n            xtal and its mse loss\n        \"\"\"\n        torch.autograd.set_detect_anomaly(True)\n\n        def apply_bounds(tensor):\n            \"\"\"Clamps tensor values between 0 and 1.\"\"\"\n            with torch.no_grad():\n                tensor.clamp_(0.0, 1.0)\n\n        # Clone and enable gradients for `reps`\n        rep = rep.clone().detach().requires_grad_(True)\n        generators = generators.clone().detach()\n\n        # Choose optimizer\n        optimizer = torch.optim.Adam([rep_batch], lr=lr)\n        scheduler = StepLR(optimizer, step_size=50, gamma=0.1)\n\n        # Optimization loop\n        for step in range(num_steps):\n            optimizer.zero_grad()\n\n            # Compute losses per sample (B,)\n            loss = self.loss(spg, wps, elements, P_ref, RDF_ref)\n            loss.backward(torch.ones_like(loss))\n            torch.nn.utils.clip_grad_norm_(rep_batch, max_norm=10.0)  # Gradient clipping\n\n            # Step the scheduler\n            optimizer.step()\n            if step > 100: scheduler.step()\n\n            if verbose and step % 1 == 0:\n                print(f\"Step {step}, {loss_sum:.6f}, LR={scheduler.get_last_lr()[0]:.6f}\")\n            if step + 1 == num_steps:\n                print(f\"stopping at last iteration\")\n        #xtal =\n        return rep.detach(), losses.detach()\n\n    def loss(self, spg, wps, elements, P_ref, RDF_ref):\n        res =  WP.get()\n        p, xrd, rdf = self.compute()\n        loss1 = torch.sum()\n        return loss\n\n\n\n\n\nif __name__ == \"__main__\":\n    from pyxtal import pyxtal\n\n    xtal1 = pyxtal(); xtal1.from_prototype('diamond') #; xtal.to_file('dia.cif'); print(xtal)\n    xtal_sub = xtal1.subgroup_once(H=141, eps=0.1); print(xtal_sub)\n    xtal2 = pyxtal(); xtal2.from_prototype('graphite')\n    xtal3 = xtal1.copy(); xtal3.substitute({'C': 'Si'});\n    xtal3.lattice = xtal3.lattice.scale(1.52); print(xtal3)\n\n    recp = RECP(dmax=8.0, nmax=5, lmax=3)\n    p1, rdf1 = recp.compute(xtal1.to_ase())\n    p2, rdf2 = recp.compute(xtal1.to_ase()*2)\n    p3, rdf3 = recp.compute(xtal_sub.to_ase())\n    p4, rdf4 = recp.compute(xtal2.to_ase())\n    p5, rdf5 = recp.compute(xtal3.to_ase())\n"
  },
  {
    "path": "pyxtal/representation.py",
    "content": "import numpy as np\n\nfrom pyxtal.lattice import Lattice\nfrom pyxtal.molecule import find_rotor_from_smile\nfrom pyxtal.symmetry import Group\nfrom pyxtal.wyckoff_site import atom_site, mol_site\n\nclass representation_atom:\n    \"\"\"\n    A class to handle the 1D representation of atomic crystal\n    Works for Zprime > 1\n\n    Args:\n        x: a list of [cell, site_1, site_2, ...]\n    \"\"\"\n\n    def __init__(self, x):\n        self.x = x\n\n    def __str__(self):\n        return self.to_string()\n\n    @classmethod\n    def from_pyxtal(cls, struc, standard=True):\n        \"\"\"\n        Initialize 1D rep. from the pyxtal object\n\n        Args:\n            struc: pyxtal object\n        \"\"\"\n        if standard and not struc.standard_setting:\n            pmg = struc.to_pymatgen()\n            struc.from_seed(pmg, standard=True)\n        symmetry = [struc.atom_sites[0].wp.hall_number]\n        lat = struc.lattice.encode()\n        vector = [symmetry + lat]\n        vector.extend([site.encode() for site in struc.atom_sites])\n        x = vector\n        return cls(x)\n\n    def to_standard_setting(self):\n        xtal = self.to_pyxtal()\n        self.x = representation.from_pyxtal(xtal, standard=True).x\n\n    def to_pyxtal(self):\n        \"\"\"\n        Export the pyxtal structure\n\n        Args:\n            smiles: list of smiles\n            composition: list of composition\n        \"\"\"\n        from pyxtal import pyxtal\n\n        # symmetry\n        v = self.x[0]\n        struc = pyxtal()\n        struc.group, _number = Group(v[0], use_hall=True), v[0]\n\n        # lattice\n        ltype = struc.group.lattice_type\n        if ltype == \"triclinic\":\n            a, b, c, alpha, beta, gamma = v[1], v[2], v[3], v[4], v[5], v[6]\n        elif ltype == \"monoclinic\":\n            a, b, c, alpha, beta, gamma = v[1], v[2], v[3], 90, v[4], 90\n        elif ltype == \"orthorhombic\":\n            a, b, c, alpha, beta, gamma = v[1], v[2], v[3], 90, 90, 90\n        elif ltype == \"tetragonal\":\n            a, b, c, alpha, beta, gamma = v[1], v[1], v[2], 90, 90, 90\n        elif ltype == \"hexagonal\":\n            a, b, c, alpha, beta, gamma = v[1], v[1], v[2], 90, 90, 120\n        else:\n            a, b, c, alpha, beta, gamma = v[1], v[1], v[1], 90, 90, 90\n        try:\n            struc.lattice = Lattice.from_para(a, b, c, alpha, beta, gamma, ltype=ltype)\n        except:\n            print(a, b, c, alpha, beta, gamma, ltype)\n            raise ValueError(\"Problem in Lattice\")\n\n        # sites\n        struc.numIons = []\n        struc.atom_sites = []\n        species = []\n\n        for _x in self.x[1:]:\n            dicts = {}\n            specie, index, pos = _x[0], _x[1], _x[2:]\n            dicts[\"specie\"] = specie\n            dicts[\"index\"] = index\n            dicts[\"dim\"] = 3\n            dicts[\"PBC\"] = [1, 1, 1]\n            dicts[\"hn\"] = struc.group.hall_number\n            wp = struc.group[index]\n            dicts[\"position\"] = wp.get_position_from_free_xyzs(pos)\n            site = atom_site.load_dict(dicts)\n            struc.atom_sites.append(site)\n\n            if specie not in species:\n                species.append(specie)\n                struc.numIons.append(wp.multiplicity)\n            else:\n                for i, _specie in enumerate(species):\n                    if _specie == specie:\n                        struc.numIons[i] += site.wp.multiplicity\n\n        struc.species = species\n        struc._get_formula()\n        struc.source = \"1D rep.\"\n        struc.valid = True\n        struc.standard_setting = site.wp.is_standard_setting()\n\n        return struc\n\n    def to_array(self):\n        \"\"\"\n        Export only variables to a 1d numpy array\n        \"\"\"\n        cells, xyzs = self.x[0][1:], self.x[1:]\n        x = cells\n        for xyz in xyzs:\n            x = np.hstack((x, xyz[2:]))\n        return x\n\n    def to_string(self, time=None, eng=None, tag=None):\n        \"\"\"\n        Export string representation\n\n        Args:\n            time: float\n            eng: float\n            tag: string\n        \"\"\"\n        x = self.x\n        strs = f\"{int(x[0][0]):3d} \"\n\n        # data for cell\n        if x[0][0] <= 348:\n            num = 4\n        elif x[0][0] <= 488:\n            num = 3\n        else:  # cubic\n            num = 2\n\n        for c in x[0][1:num]:\n            strs += f\"{c:5.2f} \"\n        for c in x[0][num:]:\n            strs += f\"{c:5.1f} \"\n\n        # data for atoms\n        strs += f\"{len(x) - 1:d} \"  # Number of sites\n        for i in range(1, len(x)):\n            strs += f\"{x[i][0]:s} \"\n            strs += f\"{x[i][1]:d} \"\n            for v in x[i][2:]:\n                strs += f\"{v:6.4f} \"\n\n        if time is not None:\n            strs += f\"{time:5.2f}\"\n\n        if eng is not None:\n            strs += f\"{eng:11.3f}\"\n\n        if tag is not None:\n            strs += f\" {tag:s}\"\n\n        return strs\n\n\nclass representation:\n    \"\"\"\n    A class to handle the 1D representation of molecular crystal\n    Works for Zprime > 1\n\n    Args:\n        x: a list of [cell, site_1, site_2, ...]\n        smiles: a list of [smile_1, smile_2, ...]\n    \"\"\"\n\n    def __init__(self, x, smiles=None):\n        if smiles is not None:\n            self.smiles = []\n            for _i, smile in enumerate(smiles):\n                if smile.endswith(\".smi\"):\n                    smile = smile[:-4]\n                self.smiles.append(smile)\n        else:\n            self.smiles = None\n        self.x = x\n\n    def __str__(self):\n        return self.to_string()\n\n    @classmethod\n    def from_pyxtal(cls, struc, standard=False):\n        \"\"\"\n        Initialize 1D rep. from the pyxtal object\n\n        Args:\n            struc: pyxtal object\n        \"\"\"\n        if standard and not struc.standard_setting:\n            # struc.optimize_lattice(standard=True)\n            pmg = struc.to_pymatgen()\n            struc.from_seed(pmg, molecules=struc.molecules, standard=True)\n        symmetry = [struc.mol_sites[0].wp.hall_number]\n        lat = struc.lattice.encode()\n        vector = [symmetry + lat]\n        smiles = []\n        for site in struc.mol_sites:\n            vector.append(site.encode())\n            smiles.append(site.molecule.smile)\n        x = vector\n        if smiles[0] is None: smiles = None\n        return cls(x, smiles)\n\n    @classmethod\n    def from_string(cls, inputs, smiles, composition=None):\n        \"\"\"\n        Initialize 1D rep. from the string\n\n        Args:\n            inputs: input string\n            smiles: list of smiles\n        \"\"\"\n        # parse the cell\n        if composition is None:\n            composition = [1] * len(smiles)\n\n        inputs = [float(tmp) for tmp in inputs.split()]\n        hn = int(inputs[0])\n        if hn <= 2:\n            n_cell = 8\n        elif hn <= 107:\n            n_cell = 6\n        elif hn <= 348:\n            n_cell = 5\n        elif hn <= 488:\n            n_cell = 4\n        else:\n            n_cell = 3  # cubic\n        cell = [hn] + inputs[1 : n_cell - 1]\n\n        x = [cell]\n        n_site = int(inputs[n_cell - 1])\n        if n_site != sum(composition):\n            msg = f\"Composition is inconsistent: {sum(composition):d}/{n_site:d}\\n\"\n            msg += str(inputs)\n            raise ValueError(msg)\n        # n_cell += 1\n\n        for i, smile in enumerate(smiles):\n            if smile.endswith(\".smi\"):\n                smile = smile[:-4]\n            for _c in range(composition[i]):\n                if smile in [\"Cl-\"]:\n                    n_mol = 4\n                else:\n                    n_torsion = len(find_rotor_from_smile(smile))\n                    n_mol = 8 + n_torsion  # (wp_id, x, y, z, ori_x, ori_y, ori_z, inv) + torsion\n                # inversion\n                # print(n_mol, n_cell, len(inputs))\n                inputs[n_cell] = int(inputs[n_cell])\n                inputs[n_cell + n_mol - 1] = int(inputs[n_cell + n_mol - 1])\n                x.append(inputs[n_cell : n_cell + n_mol])  # ; print('string', x[-1])\n                n_cell += n_mol\n        assert n_cell == len(inputs)\n        return cls(x, smiles)\n\n    def to_standard_setting(self):\n        xtal = self.to_pyxtal()\n        xtal.optimize_lattice(standard=True)\n        rep0 = representation.from_pyxtal(xtal)\n        self.x = rep0.x\n\n    def to_pyxtal(self, smiles=None, composition=None):\n        \"\"\"\n        Export the pyxtal structure\n\n        Args:\n            smiles: list of smiles\n            composition: list of composition\n        \"\"\"\n        from pyxtal import pyxtal\n\n        if smiles is None:\n            smiles = self.smiles\n\n        if composition is None:\n            composition = [1] * len(smiles)\n\n        if sum(composition) + 1 != len(self.x):\n            msg = \"Composition is inconsistent:\\n\"\n            msg += str(composition) + \"\\n\"\n            msg += self.to_string()\n            raise ValueError(msg)\n\n        # symmetry\n        v = self.x[0]\n        struc = pyxtal(molecular=True)\n        struc.group = Group(v[0], use_hall=True)\n\n        # lattice\n        ltype = struc.group.lattice_type\n        if ltype == \"triclinic\":\n            a, b, c, alpha, beta, gamma = v[1], v[2], v[3], v[4], v[5], v[6]\n        elif ltype == \"monoclinic\":\n            a, b, c, alpha, beta, gamma = v[1], v[2], v[3], 90, v[4], 90\n        elif ltype == \"orthorhombic\":\n            a, b, c, alpha, beta, gamma = v[1], v[2], v[3], 90, 90, 90\n        elif ltype == \"tetragonal\":\n            a, b, c, alpha, beta, gamma = v[1], v[1], v[2], 90, 90, 90\n        elif ltype == \"hexagonal\":\n            a, b, c, alpha, beta, gamma = v[1], v[1], v[2], 90, 90, 120\n        else:\n            a, b, c, alpha, beta, gamma = v[1], v[1], v[1], 90, 90, 90\n        try:\n            struc.lattice = Lattice.from_para(a, b, c, alpha, beta, gamma, ltype=ltype)\n        except:\n            print(a, b, c, alpha, beta, gamma, ltype)\n            raise ValueError(\"Problem in Lattice\")\n\n        # sites\n        struc.numMols = [0] * len(smiles)\n        struc.molecules = []\n        struc.mol_sites = []\n\n        count = 1\n        for i, comp in enumerate(composition):\n            smile = smiles[i]\n            if smile.endswith(\".smi\"):\n                smile = smile[:-4]\n            for _j in range(comp):\n                v = self.x[count]\n                dicts = {}\n                dicts[\"smile\"] = smile\n                dicts[\"type\"] = i\n                dicts[\"dim\"] = 3\n                dicts[\"PBC\"] = [1, 1, 1]\n                # dicts['number'] = number\n                dicts[\"hn\"] = struc.group.hall_number\n                dicts[\"index\"] = v[0]\n                dicts[\"lattice\"] = struc.lattice.matrix\n                dicts[\"lattice_type\"] = ltype\n                dicts[\"center\"] = v[1:4]\n                if smile not in [\"Cl-\"]:\n                    dicts[\"orientation\"] = np.array(v[4:7])\n                    dicts[\"rotor\"] = v[7:-1]  # ; print('ro', dicts['rotor'])\n                    dicts[\"reflect\"] = int(v[-1])\n                site = mol_site.from_1D_dicts(dicts)\n\n                bypass = False\n                for mol_id, molecule in enumerate(struc.molecules):\n                    if str(site.molecule) == str(molecule):\n                        site.type = mol_id\n                        struc.numMols[mol_id] += site.wp.multiplicity\n                        bypass = True\n                        break\n                if not bypass:\n                    struc.molecules.append(site.molecule)\n                    site.type = len(struc.molecules) - 1\n                    struc.numMols[site.type] += site.wp.multiplicity\n\n                # site.type = i\n                struc.mol_sites.append(site)\n                # move to next rep\n                count += 1\n\n        struc._get_formula()\n        struc.source = \"1D rep.\"\n        struc.valid = True\n        struc.standard_setting = site.wp.is_standard_setting()\n\n        return struc\n\n    def to_string(self, time=None, eng=None, tag=None):\n        \"\"\"\n        Export string representation\n\n        Args:\n            time: float\n            eng: float\n            tag: string\n        \"\"\"\n        x = self.x\n        strs = f\"{int(x[0][0]):3d} \"\n\n        # data for cell\n        if x[0][0] <= 348:\n            num = 4\n        elif x[0][0] <= 488:\n            num = 3\n        else:  # cubic\n            num = 2\n\n        for c in x[0][1:num]:\n            strs += f\"{c:5.2f} \"\n        for c in x[0][num:]:\n            strs += f\"{c:5.1f} \"\n\n        # data for molecule\n        strs += f\"{len(x) - 1:d} \"  # ; print(x[1])\n        for i in range(1, len(x)):\n            strs += f\"{x[i][0]:d} \"\n            for v in x[i][1:4]:\n                strs += f\"{v:4.2f} \"\n            for v in x[i][4:-1]:\n                strs += f\"{v:6.1f} \"\n            strs += f\"{int(x[i][-1]):d} \"\n\n        if time is not None:\n            strs += f\"{time:5.2f}\"\n\n        if eng is not None:\n            strs += f\"{eng:11.3f}\"\n\n        if tag is not None:\n            strs += f\" {tag:s}\"\n\n        return strs\n\n    def same_smiles(self, smiles):\n        if len(self.smiles) == smiles:\n            return all(s1 == s2 for s1, s2 in zip(self.smiles, smiles))\n        else:\n            return False\n\n    def get_dist(self, rep):\n        \"\"\"\n        get distance with the other rep1\n        Now only supports Z'=1\n        \"\"\"\n        from pyxtal.symmetry import Wyckoff_position as WP\n\n        if self.same_smiles(rep.smiles):\n            msg = \"different smiles\"\n            print(msg)\n            return None\n        elif len(self.x) != len(rep.x):\n            msg = \"different number of sites\"\n            print(msg)\n            return None\n        elif self.x[0][0] != rep.x[0][0]:\n            msg = \"different space group numbers\"\n            print(msg)\n            return None\n        else:\n            diffs = []\n            wp = WP.from_group_and_index(self.x[0][0], 0, use_hall=True)\n            for i in range(len(self.x)):\n                np.zeros(len(self.x[i]))\n                tmp1 = np.array(self.x[i])\n                tmp2 = np.array(rep.x[i])\n                # cell difference\n                if i == 0:\n                    diff_cell = tmp2 - tmp1\n                    diffs.extend(diff_cell)\n                # site difference\n                else:\n                    # symmmetry variation\n                    xyzs = wp.apply_ops(tmp2[:3])\n                    diff_xyzs = xyzs - tmp1[:3]\n                    diff_xyzs -= np.rint(diff_xyzs)\n                    id = np.argmin(np.linalg.norm(diff_xyzs, axis=1))\n                    diff_xyz = diff_xyzs[id]\n                    diff_ori = tmp2[3:6] - tmp1[3:6]\n                    diff_ori /= [360.0, 180.0, 360.0]\n                    diff_ori -= np.rint(diff_ori)\n                    diff_ori *= [360.0, 180.0, 360.0]\n                    diff_tor = tmp2[6:] - tmp1[6:]\n                    diff_tor /= 360.0\n                    diff_tor -= np.rint(diff_tor)\n                    diff_tor *= 360.0\n                    diffs.extend(diff_xyz)\n                    diffs.extend(diff_ori)\n                    diffs.extend(diff_tor)\n            return np.array(diffs)\n        \n    def update_smiles(self, smiles):\n        \"\"\"\n        Update the smiles of the representation\n        \"\"\"\n        if len(smiles) != len(self.smiles):\n            raise ValueError(\"Number of smiles does not match\")\n        self.smiles = smiles\n        # update the x for the new smiles\n        for i, smile in enumerate(smiles):\n            if smile.endswith(\".smi\"):\n                smile = smile[:-4]\n            for j in range(len(self.x)):\n                if self.x[j][0] == i:\n                    self.x[j][0] = smile\n\nif __name__ == \"__main__\":\n    # aspirin\n    smiles = [\"CC(=O)OC1=CC=CC=C1C(=O)O\"]\n    x = [\n        [81, 11.43, 6.49, 11.19, 83.31],\n        [0, 0.77, 0.57, 0.53, 48.55, 24.31, 145.94, -77.85, -4.40, 170.86, False],\n    ]\n    # rep0 = representation(x, smiles)\n    # print(rep0.to_string())\n    rep1 = representation(x, smiles)\n    xtal = rep1.to_pyxtal()\n    print(xtal)\n    rep2 = representation.from_pyxtal(xtal)\n    print(rep2.to_pyxtal())\n    print(rep2.to_string())\n\n    print(\"Test read from string\")\n    string = \"82 11.43  6.49 11.19 83.31 1  0 0.77  0.57  0.53 48.55 24.31 145.9 -77.85 -4.40 170.9 0\"\n    rep3 = representation.from_string(string, smiles)\n    print(rep3.to_string())\n    print(rep3.to_pyxtal())\n    # x = rep3.to_pyxtal(); x.optimize_lattice(standard=True); print(x)\n    rep3.to_standard_setting()\n    print(rep3.to_pyxtal())\n    print(rep3.to_string())\n\n    print(\"Test other cases\")\n    string1 = \"81 14.08  6.36 25.31  83.9 1 0 0.83 0.40 0.63  136.6  -21.6 -151.1 -101.1 -131.2  154.7 -176.4 -147.8  178.2 -179.1  -53.3 0\"  # noqa: E501\n    string2 = \"81 14.08  6.36 25.31  83.9 1 0 0.03 0.84 0.89  149.1   -8.0  -37.8  -39.9 -104.2  176.2 -179.6  137.8 -178.5 -173.3 -103.6 0\"  # noqa: E501\n    smiles = [\"CC1=CC=C(C=C1)S(=O)(=O)C2=C(N=C(S2)C3=CC=C(C=C3)NC(=O)OCC4=CC=CC=C4)C\"]\n    rep4 = representation.from_string(string1, smiles)\n    rep5 = representation.from_string(string2, smiles)\n    print(string1)\n    print(string2)\n    print(rep4.get_dist(rep5))\n\n    from pyxtal import pyxtal\n\n    xtal = pyxtal()\n    xtal.from_seed(\"pyxtal/database/cifs/Fd3.cif\")\n    xtal.from_seed(\"pyxtal/database/cifs/NaSb3F10.cif\")\n    rep = representation_atom.from_pyxtal(xtal)\n    print(rep)\n    print(xtal)\n    print(rep.to_pyxtal())\n    # strings = [\n    # \"83 14.08 6.36 25.31 83.9 1 0.72 0.40 0.27  131.6 -17.0 -120.0  -83.8 -134.1 -174.5 -175.7 -168.8  173.9  178.0 -157.4 0\",\n    # \"81 14.08 6.36 25.31 83.9 1 0.59 0.81 0.39 -117.8 -50.1  -95.3  -25.8  -80.6  164.7  155.9 -124.9 -159.2  178.6 -154.7 0\",\n    # \"81 14.08 6.36 25.31 83.9 1 0.75 0.09 0.01  133.8 -19.5  -55.1  -86.7  -91.7 -175.0 -170.4 -176.8  173.3 -164.8  -58.4 0\",\n    # \"81 14.08 6.36 25.31 83.9 1 0.72 0.44 0.01  135.2  27.5   97.2 -101.1 -105.1  -29.7 -169.7  -50.1  172.2 -173.1  131.6 0\",\n    # \"82 14.00 6.34 25.26 83.6 1 0.21 0.08 0.54  146.0 -12.0   50.2  108.0  112.3 -166.3 -158.7  -35.5  172.3 -168.7  133.0 0\",\n    # \"81 14.08 6.36 25.31 83.9 1 0.05 0.30 0.89  -68.2  41.2  148.8  -66.9  -85.0 -167.4  172.3 -166.2 -178.3  166.4  -45.9 0\",\n    # ]\n\n    # import pymatgen.analysis.structure_matcher as sm\n    # matcher = sm.StructureMatcher(ltol=0.3, stol=0.3, angle_tol=10)\n    # for i, string in enumerate(strings):\n    #    print(str(i) + '  ' +string)\n    #    rep4 = representation.from_string(string, smiles)\n    #    pmg1 = rep4.to_pyxtal().to_pymatgen(); pmg1.remove_species('H')\n    #    rep4.to_standard_setting()\n    #    pmg2 = rep4.to_pyxtal().to_pymatgen(); pmg2.remove_species('H')\n    #    print(i, rep4.to_string(), matcher.fit(pmg1, pmg2))\n"
  },
  {
    "path": "pyxtal/supergroup.py",
    "content": "\"\"\"\nModule to search for the supergroup symmetry\n\"\"\"\n\nimport functools\nimport itertools\nimport operator\nfrom copy import deepcopy\n\nimport numpy as np\nimport pymatgen.analysis.structure_matcher as sm\nfrom numpy.random import Generator\nfrom scipy.optimize import minimize\n\nimport pyxtal.symmetry as sym\nfrom pyxtal.lattice import Lattice\nfrom pyxtal.operations import apply_ops, get_best_match\nfrom pyxtal.wyckoff_site import atom_site\nfrom pyxtal.wyckoff_split import wyckoff_split\n\nALL_SHIFTS = np.array(\n    [\n        [0, 0, 0],\n        [0, 1, 0],\n        [1, 0, 0],\n        [0, 0, 1],\n        [0, 1, 1],\n        [1, 1, 0],\n        [1, 0, 1],\n        [1, 1, 1],\n    ]\n)\n\n\ndef write_poscars(H_struc, G_struc, mappings, splitters, wyc_sets, N_images=3):\n    \"\"\"\n    Write the intermediate POSCARs between H and G structure.\n\n    The key is to continuously change G to subgroup representations with zero\n    displacements. Finally, call ``write_poscars_intermediate``.\n\n    Args:\n        H_struc: PyXtal low symmetry structure\n        G_struc: PyXtal high symmetry structure\n        mappings: List of atomic mappings\n        splitters: List of splitter objects\n        wyc_sets: List of wyc_set transformations\n        N_images: Number of intermediate structures between H and G. Default is 3.\n\n    Returns:\n        List of POSCARs between H and G structure.\n    \"\"\"\n    raise NotImplementedError\n\n\ndef new_structure(struc, refs):\n    \"\"\"\n    Check if struc is already in the reference solutions.\n    \"\"\"\n    g1 = struc.group.number\n    pmg1 = struc.to_pymatgen()\n    for ref in refs:\n        g2 = ref.group.number\n        if g1 == g2:\n            pmg2 = ref.to_pymatgen()\n            if sm.StructureMatcher().fit(pmg1, pmg2):\n                return False\n    return True\n\n\ndef new_path(path, paths):\n    \"\"\"\n    Check if it is a new path.\n    \"\"\"\n    return all(path[: len(ref)] != ref for ref in paths)\n\n\ndef find_mapping_per_element(sites1, sites2):\n    \"\"\"\n    Search for all mappings for a given splitter.\n\n    Args:\n        sites1 (list): e.g., l layer ['4a', '8b', '4c']\n        sites2 (list): e.g., 2 layers [['4a'], ['8b', '4c']]\n\n    Returns:\n        unique solutions: e.g. 3 layers: [[[0], [1,2]]]\n    \"\"\"\n\n    unique_letters = list(set(sites1))\n    site1_letter_indices = [[i for i, x in enumerate(sites1) if x == letter] for letter in unique_letters]\n    site2_letter_bins = [[unique_letters.index(x) for x in lbin] for lbin in sites2]\n\n    combo_list = []\n    for s in site2_letter_bins:\n        ls = list(set(s))\n        rs = [s.count(r) for r in ls]\n        p = []\n        for i, l in enumerate(ls):\n            combo = itertools.combinations(site1_letter_indices[l], rs[i])\n            combo = [list(x) for x in combo]\n            p.append(deepcopy(combo))\n        pr = p[0]\n        for i in range(1, len(p)):\n            pr = itertools.product(pr, p[i])\n            pr = [functools.reduce(operator.iadd, list(x), []) for x in pr]\n        combo_list.append(pr)\n    unique_solutions = [[x] for x in combo_list[0]]\n    for i in range(1, len(combo_list)):\n        unique_solutions = [\n            [*x, y]\n            for x in unique_solutions\n            for y in combo_list[i]\n            if len(set(functools.reduce(operator.iadd, x, [])).intersection(y)) == 0\n        ]\n    return unique_solutions\n\n\ndef find_mapping(atom_sites, splitter):\n    \"\"\"\n    Search for all mappings for a given splitter.\n\n    Args:\n        atom_sites: list of wp object\n        splitter: wp_splitter object\n\n    Returns:\n        unique solutions\n    \"\"\"\n    eles = {site.specie for site in atom_sites}\n\n    # loop over the mapping for each element\n    # then propogate the possible mapping via itertools.product\n    lists = []\n\n    for ele in eles:\n        # ids of atom sites\n        site_ids = [id for id, site in enumerate(atom_sites) if site.specie == ele]\n\n        # ids to be assigned\n        wp2_ids = [id for id, e in enumerate(splitter.elements) if e == ele]\n\n        letters1 = [atom_sites[id].wp.letter for id in site_ids]\n        letters2 = []\n\n        for id in wp2_ids:\n            wp2 = splitter.wp2_lists[id]\n            letters2.append([wp.letter for wp in wp2])\n        # print(ele, letters1, letters2)\n\n        res = find_mapping_per_element(letters1, letters2)\n        lists.append(res)\n\n    # resort the mapping\n    mappings = list(itertools.product(*lists))\n    ordered_mappings = []\n\n    for mapping in mappings:\n        ordered_mapping = [None] * len(splitter.wp2_lists)\n\n        for i, ele in enumerate(eles):\n            site_ids = [id for id, site in enumerate(atom_sites) if site.specie == ele]\n            count = 0\n\n            for j, wp2 in enumerate(splitter.wp2_lists):\n                if splitter.elements[j] == ele:\n                    ordered_mapping[j] = [site_ids[m] for m in mapping[i][count]]\n                    count += 1\n        # print(\"res\", ordered_mapping)\n        ordered_mappings.append(ordered_mapping)\n\n    return ordered_mappings\n\n\ndef search_G1(G, rot, tran, pos, wp1, op):\n    \"\"\"\n    Search the best matched position in the G1 basis.\n\n    Args:\n        G: Target space group object\n        rot: Rotation matrix (3x3)\n        tran: Translation vector (1x3)\n        pos: Starting position\n        wp1: Wyckoff position symmetry\n        op: Symmetry operation\n\n    Returns:\n        tuple: (closest_position, distance)\n            - closest_position: The best matched position in G1 basis\n            - distance: Distance between original and matched positions\n    \"\"\"\n\n    shifts = ALL_SHIFTS if np.linalg.det(rot) < 1 else np.array([[0, 0, 0]])\n\n    diffs = []\n    coords = []\n    # loop over all nearby translations\n    for shift in shifts:\n        res = np.dot(rot, pos + shift) + tran.T\n        tmp = sym.search_cloest_wp(G, wp1, op, res)\n        diff = res - tmp\n        diff -= np.rint(diff)\n        dist = np.linalg.norm(diff)\n        diffs.append(dist)\n        coords.append(tmp)\n        if dist < 1e-1:\n            break\n    # choose the one returns minimum difference\n    diffs = np.array(diffs)\n    minID = np.argmin(diffs)\n    tmp = coords[minID]\n    tmp -= np.rint(tmp)\n    return tmp, np.min(diffs)\n\n\ndef search_G2(rot, tran, pos1, pos2, cell=None):\n    \"\"\"\n    Search the best matched position in G2 basis.\n\n    Args:\n        rot: Rotation matrix (3x3)\n        tran: Translation vector (1x3)\n        pos1: Position in G1\n        pos2: Reference position in G2\n        cell: Unit cell matrix (3x3), optional\n\n    Returns:\n        tuple: (pos, dist)\n            - pos: Matched position in G2 basis\n            - dist: Relative distance between matched positions\n    \"\"\"\n\n    pos1 -= np.rint(pos1)\n    shifts = ALL_SHIFTS\n\n    dists = []\n    for shift in shifts:\n        res = np.dot(rot, pos1 + shift + tran.T)\n        diff = res - pos2\n        diff -= np.rint(diff)\n        dist = np.linalg.norm(diff)\n        dists.append(dist)\n        if dist < 1e-1:\n            break\n    dists = np.array(dists)\n    dist = np.min(dists)\n    shift = shifts[np.argmin(dists)]\n    pos = np.dot(rot, pos1 + shift + tran.T)\n\n    diff = pos - pos2\n    diff -= np.rint(diff)\n\n    if cell is not None:\n        diff = np.dot(diff, cell)\n\n    dist = np.linalg.norm(diff)\n\n    return pos, dist\n\n\ndef find_xyz(G2_op, coord, quadrant=None):\n    \"\"\"\n    Finds the x,y,z free parameter values for positions in the G_2 basis.\n\n    Args:\n        G2_op: a symmetry operation in G2\n        coord: the coordinate that matches G2_op\n        quadrant: a 3 item list (ex:[1,1,-1]) that contains information on the\n            orientation of the molecule\n\n    Returns:\n        G2_holder: x,y,z parameters written in the G2 basis\n    \"\"\"\n    if quadrant is None:\n        quadrant = [0, 0, 0]\n    if np.all(quadrant == [0, 0, 0]):\n        for i, n in enumerate(coord):\n            if n >= 0.0:\n                quadrant[i] = 1\n            else:\n                quadrant[i] = -1\n\n    # prepare the rotation matrix and translation vector seperately\n    G2_holder = [1, 1, 1]\n    G2_op = np.array(G2_op.as_dict()[\"matrix\"])\n    rot_G2 = G2_op[:3, :3].T\n    tau_G2 = G2_op[:3, 3]\n    b = coord - tau_G2\n    for k in range(3):\n        b[k] = b[k] % quadrant[k]\n\n    # eliminate any unused free parameters in G2\n    # The goal is to reduce the symmetry operations to be a full rank matrix\n    # any free parameter that is not used has its spot deleted from the rot+trans\n    for i, x in reversed(list(enumerate(rot_G2))):\n        if set(x) == {0.0}:\n            G2_holder[i] = 0\n            rot_G2 = np.delete(rot_G2, i, 0)\n            quadrant = np.delete(quadrant, i)\n\n    # eliminate any leftover empty rows to have fulll rank matrix\n    rot_G2 = rot_G2.T\n    for i, x in reversed(list(enumerate(rot_G2))):\n        if set(x) == {0.0}:\n            rot_G2 = np.delete(rot_G2, i, 0)\n            b = np.delete(b, i)\n    while len(rot_G2) != 0 and len(rot_G2) != len(rot_G2[0]):\n        rot_G2 = np.delete(rot_G2, len(rot_G2) - 1, 0)\n        b = np.delete(b, len(b) - 1)\n\n    # Later must add Schwarz Inequality check to elininate any dependent vectors\n    # solves a linear system to find the free parameters\n    if set(G2_holder) == {0.0}:\n        return np.array(G2_holder)\n    else:\n        try:\n            G2_basis_xyz = np.linalg.solve(rot_G2, b)\n            for i in range(len(quadrant)):\n                G2_basis_xyz[i] = G2_basis_xyz[i] % quadrant[i]\n            # print(\"!ST G2 HOLDER\")\n            for i in range(G2_holder.count(1)):\n                G2_holder[G2_holder.index(1)] = G2_basis_xyz[i]\n            # print('second G## holder')\n            return np.array(G2_holder)\n\n        except:\n            raise RuntimeError(\"unable to find free parameters in the operation\")\n\n\nclass supergroup:\n    \"\"\"\n    Class to find the structure with supergroup symmetry\n\n    Args:\n        struc: pyxtal structure\n        G: target supergroup number\n    \"\"\"\n\n    def __init__(self, struc, G, random_state=None):\n        # initilize the necesary parameters\n        self.solutions = []\n        self.error = True\n        self.G = sym.Group(G)\n        group_type = \"k\" if self.G.point_group == struc.group.point_group else \"t\"\n        self.group_type = group_type\n\n        if isinstance(random_state, Generator):\n            self.random_state = random_state.spawn(1)[0]\n        else:\n            self.random_state = np.random.default_rng(random_state)\n\n        # list of all alternative wycsets\n        strucs = struc.get_alternatives()\n        for struc in strucs:\n            solutions = self.G.get_splitters_from_structure(struc, group_type)\n            if len(solutions) > 0:\n                self.struc = struc\n                self.wyc_set_id = struc.wyc_set_id\n                self.elements, self.sites = struc._get_elements_and_sites()\n                self.solutions = solutions\n                self.cell = struc.lattice.matrix\n                self.error = False\n                break\n\n    def search_supergroup(self, d_tol=0.9, max_per_G=2500, max_solutions=None):\n        \"\"\"\n        Search for valid supergroup transition\n\n        Args:\n            d_tol (float): tolerance for atomic displacement\n            max_per_G (int): maximum number of possible solution for each G\n            max_solutions (int): maximum number of solutions.\n\n        Returns:\n            solutions: list of solutions with small displacements\n        \"\"\"\n        solutions = []\n        done = False\n        if len(self.solutions) > 0:\n            # extract the valid\n            for idx, sols in self.solutions:\n                if len(sols) > max_per_G:\n                    print(\"Warning: ignore some solutions: \", len(sols) - max_per_G)\n                    sols = [sols[i] for i in self.random_state.choice(len(sols), max_per_G)]\n                    # sols=[(['8c'], ['4a', '4b'], ['4b', '8c', '8c'])]\n\n                for _i, sol in enumerate(sols):\n                    max_disp, trans, mapping, sp = self.calc_disps(idx, sol, d_tol * 1.1)\n                    # print(i, sp.H.number, sp.G.number, sol, max_disp, mapping)\n                    if max_disp < d_tol:\n                        solutions.append((sp, mapping, trans, self.wyc_set_id, max_disp))\n                        if max_solutions is not None and len(solutions) >= max_solutions:\n                            done = True\n                            break\n\n                if done or len(solutions) > 0:\n                    break\n        return self.sort_solutions(solutions)\n\n    def make_supergroup(self, solutions, show_detail=False):\n        \"\"\"\n        Create unique supergroup structures from a list of solutions\n\n        Args:\n            solutions: list of tuples (splitter, mapping, translation, disp)\n            show_detail (bool): print out the detail\n\n        Returns:\n            list of pyxtal structures\n        \"\"\"\n        G_strucs = []\n        new_sols = []\n        for solution in solutions:\n            (sp, mapping, translation, wyc_set_id, max_disp) = solution\n            details = self.symmetrize(sp, mapping, translation)\n            coords_G1, coords_G2, coords_H1, elements, ordered_mapping = details\n            G_struc = self._make_pyxtal(sp, coords_G1)\n            if new_structure(G_struc, G_strucs):\n                if show_detail:\n                    self.print_detail(solution, coords_H1, coords_G2, elements)\n                G_struc.source = f\"supergroup {max_disp:6.3f}\"\n                G_struc.disp = max_disp\n                G_strucs.append(G_struc)\n                new_sols.append((sp, ordered_mapping, translation, wyc_set_id, max_disp))\n        return G_strucs, new_sols\n\n    def calc_disps(self, split_id, solution, d_tol):\n        \"\"\"\n        For a given solution, compute the minimum disp by adusting translation.\n\n        Args:\n            split_id (int): integer\n            solution (list): e.g., [['2d'], ['6h'], ['2c', '6h', '12i']]\n            d_tol (float): tolerance\n\n        Returns:\n            max_disp: maximum atomic displcement\n            translation: overall cell translation\n        \"\"\"\n        sites_G = []\n        elements = []\n        muls = []\n        for i, e in enumerate(self.elements):\n            sites_G.extend(solution[i])\n            elements.extend([e] * len(solution[i]))\n            muls.extend([int(sol[:-1]) for sol in solution[i]])\n\n        # resort the sites_G by multiplicity, needed by the mask calculation\n        ids = np.argsort(np.array(muls))\n        elements = [elements[id] for id in ids]\n        sites_G = [sites_G[id] for id in ids]\n\n        splitter = wyckoff_split(self.G, split_id, sites_G, self.group_type, elements)\n        mappings = find_mapping(self.struc.atom_sites, splitter)\n\n        dists = []\n        translations = []\n        masks = []\n        if len(mappings) > 0:\n            mask = self.get_initial_mask(splitter)\n            for mapping in mappings:\n                dist, trans, mask = self.symmetrize_dist(splitter, mapping, mask, None, d_tol)\n                dists.append(dist)\n                translations.append(trans)\n                masks.append(mask)\n\n            dists = np.array(dists)\n            max_disp = np.min(dists)\n            id = np.argmin(dists)\n            translation = translations[id]\n            mask = masks[id]\n            if 0.2 < max_disp < d_tol and (mask is None or len(mask) < 3):\n                # optimize disp further\n                def fun(translation, mapping, splitter, mask):\n                    return self.symmetrize_dist(splitter, mapping, mask, translation)[0]\n\n                res = minimize(\n                    fun,\n                    translations[id],\n                    args=(mappings[id], splitter, mask),\n                    method=\"Nelder-Mead\",\n                    options={\"maxiter\": 10},\n                )\n                if res.fun < max_disp:\n                    max_disp = res.fun\n                    translation = res.x\n            return max_disp, translation, mappings[id], splitter\n        else:\n            print(\"bug in findding the mappings\", solution)\n            print(splitter.G.number, \"->\", splitter.H.number)\n            return 1000, None, None, None\n\n    def get_initial_mask(self, splitter):\n        \"\"\"\n        Get the mask.\n        \"\"\"\n        for wp2 in splitter.wp2_lists:\n            for wp in wp2:\n                if wp.get_dof() == 0:\n                    return [0, 1, 2]\n        return None\n\n    def get_coord_H(self, splitter, id, atom_sites_H, mapping):\n        \"\"\"\n        Extract the atomic coordinates.\n        \"\"\"\n        # number of split sites for a given WP\n        n = len(splitter.wp2_lists[id])\n        if n > 1:\n            letters = [atom_sites_H[mapping[id][x]].wp.letter for x in range(n)]\n            letters_wp = [wp.letter for wp in splitter.wp2_lists[id]]\n            seq = []\n            for l in letters_wp:\n                index = letters.index(l)\n                seq.append(index)\n                letters[index] = 0\n\n            ordered_mapping = [mapping[id][x] for x in seq]\n            # print(letters, mapping[id], '->', letters_wp, ordered_mapping)\n        else:\n            ordered_mapping = mapping[id]\n        coord_H = [atom_sites_H[ordered_mapping[x]].position.copy() for x in range(n)]\n        return np.array(coord_H), ordered_mapping\n\n    def symmetrize_dist(self, splitter, mapping, mask, translation=None, d_tol=1.2):\n        \"\"\"\n        For a given solution, search for the possbile supergroup structure based on a\n        given ``translation`` and ``mask``.\n\n        Args:\n            splitter: Splitter object between G and H\n            mapping: List of sites in H, e.g., ['4a', '8b']\n            mask: If there is a need to freeze the direction\n            translation: An overall shift from H to G, None or 3 vector\n            d_tol: The tolerance in angstrom\n\n        Returns:\n            tuple: (max_disp, translation, mask)\n                - max_disp: Maximum atomic displacement\n                - translation: Cell translation vector\n                - mask: Direction mask\n        \"\"\"\n\n        max_disps = []\n        if mask is not None and translation is not None:\n            translation[mask] = 0\n\n        for i in range(len(splitter.wp1_lists)):\n            n = len(splitter.wp2_lists[i])\n            coord_H, _ = self.get_coord_H(splitter, i, self.struc.atom_sites, mapping)\n\n            if n == 1:\n                res = self.symmetrize_site_single(splitter, i, coord_H[0], translation)\n                (dist, _tran, _mask) = res\n                if translation is None:\n                    translation = _tran\n                    mask = _mask\n            elif n == 2:\n                if splitter.group_type == \"k\":\n                    dist = self.symmetrize_site_double_k(splitter, i, coord_H, translation)\n                else:\n                    dist = self.symmetrize_site_double_t(splitter, i, coord_H, translation)\n            else:\n                dist = self.symmetrize_site_multi(splitter, i, coord_H, translation)\n\n            # strs = self.print_wp(splitter, i); print(strs, dist)\n            if i == 0 and translation is None:\n                translation = np.zeros(3)\n\n            if dist < d_tol:\n                max_disps.append(dist)\n            else:\n                return 10000, None, mask\n\n        return max(max_disps), translation, mask\n\n    def symmetrize(self, splitter, mapping, translation):\n        \"\"\"\n        Symmetrize the structure (G) to supergroup symmetry (H)\n\n        Args:\n            splitter: Splitter object to specify the relation between G and H\n            mapping: Atomic mapping between H and G\n            translation: An overall shift from H to G, None or 3 vector\n\n        Returns:\n            tuple: (coords_G1, coords_G2, coords_H, elements, ordered_mapping)\n                - coords_G1: Coordinates in G\n                - coords_G2: Coordinates in G under the subgroup setting\n                - coords_H1: Coordinates in H\n                - elements: List of elements\n        \"\"\"\n        coords_G1 = []  # position in G\n        coords_G2 = []  # position in G on the subgroup bais\n        coords_H = []  # position in H\n        elements = []\n        ordered_mapping = []\n\n        for i, _wp1 in enumerate(splitter.wp1_lists):\n            n = len(splitter.wp2_lists[i])\n            coord_H, seq = self.get_coord_H(splitter, i, self.struc.atom_sites, mapping)\n\n            if n == 1:\n                res = self.symmetrize_site_single(splitter, i, coord_H[0], translation, 0)\n            elif n == 2:\n                if splitter.group_type == \"k\":\n                    res = self.symmetrize_site_double_k(splitter, i, coord_H, translation, 0)\n                else:\n                    res = self.symmetrize_site_double_t(splitter, i, coord_H, translation, 0)\n            else:\n                res = self.symmetrize_site_multi(splitter, i, coord_H, translation, 0)\n\n            coord_G1, coord_G2, coord_H = res\n            coords_G1.append(coord_G1)\n            coords_G2.extend(coord_G2)\n            coords_H.extend(coord_H)\n            elements.extend([splitter.elements[i]] * n)\n            ordered_mapping.extend(seq)\n            # self.print_wp(splitter, i); print(coord_G1); print(coord_G2)\n\n        coords_G1 = np.array(coords_G1)\n        coords_G2 = np.array(coords_G2)\n        coords_H = np.array(coords_H)\n\n        return coords_G1, coords_G2, coords_H, elements, ordered_mapping\n\n    def print_wp(self, sp, id):\n        \"\"\"\n        A short cut to print the wp information (for debug purpose)\n        \"\"\"\n        wp1 = sp.wp1_lists[id]\n        l = wp1.get_label() + \"->\"\n        for wp in sp.wp2_lists[id]:\n            l += wp.get_label() + \",\"\n        return f\"{sp.elements[id]:2s}{sp.group_type:s} ID-{id:d} {l:s}\"\n\n    def symmetrize_site_single(self, splitter, id, base, translation, run_type=1):\n        \"\"\"\n        Symmetrize one WP to another with higher symmetry\n\n        Args:\n            splitter: splitter object\n            id: index of splitter\n            base: atomic position of site in H\n            translation: 1*3 translation vector\n            run_type: return distance or coordinates\n\n        Returns:\n            Two types of results:\n            run_type=1: (dist, translation, mask)\n                - dist: minimum distance\n                - translation: optimal translation vector\n                - mask: direction mask\n\n            run_type=0: (coord_G1, [coord_G2], [coord_H])\n                - coord_G1: coordinate in G1\n                - coord_G2: coordinate in G2\n                - coord_H: coordinate in H\n        \"\"\"\n        # Some necessary items\n        mask = []\n        op_G1 = splitter.G1_orbits[id][0][0]\n        ops_H = splitter.H_orbits[id][0]\n        wp1 = splitter.wp1_lists[id]\n        rot = splitter.R[:3, :3]\n        tran = splitter.R[:3, 3]\n        inv_rot = np.linalg.inv(rot)\n\n        # choose the best coord1_H\n        coords_H = apply_ops(base, ops_H)\n        ds = [\n            search_G1(splitter.G, rot, tran, coord_H + translation if translation is not None else coord_H, wp1, op_G1)[\n                1\n            ]\n            for coord_H in coords_H\n        ]\n\n        ds = np.array(ds)\n        minID = np.argmin(ds)\n        coord_H = coords_H[minID]\n\n        if run_type == 1:\n            coord_G2 = coord_H + translation if translation is not None else coord_H\n\n            tmp, _ = search_G1(splitter.G, rot, tran, coord_G2, wp1, op_G1)\n\n            # initial guess on disp\n            if translation is None:\n                coord_G2, dist1 = search_G2(inv_rot, -tran, tmp, coord_H, None)\n                diff = coord_G2 - coord_H\n                diff -= np.rint(diff)\n                translation = diff.copy()\n                mask = [m for m in range(3) if abs(diff[m]) < 1e-4]\n                dist = 0\n            else:\n                coord_G2, dist = search_G2(inv_rot, -tran, tmp, coord_H + translation, self.cell)\n\n            return dist, translation, mask\n        else:\n            tmp, _ = search_G1(splitter.G, rot, tran, coord_H + translation, wp1, op_G1)\n            coord_G2, _ = search_G2(inv_rot, -tran, tmp, coord_H + translation, self.cell)\n            # print('XXXXXXXXX', coord_H+translation, tmp, coord_G2, dist)\n            return tmp, [coord_G2], [coord_H]\n\n    def symmetrize_site_double_k(self, splitter, id, coord_H, translation, run_type=1):\n        \"\"\"\n        Symmetrize two WPs (wp_h1, wp_h2) to another wp_G with higher symmetry.\n\n        Args:\n            splitter (Splitter): Splitter object between G and H groups\n            id (int): Index of splitter\n            coord_H (array): Array of shape (2,3) containing coordinates\n            translation (array): Translation vector of shape (3,)\n            run_type (int): Whether to return distance (1) or coordinates (0)\n\n        Returns:\n            run_type=1:\n            float: Maximum atomic displacement\n            run_type=0:\n            tuple: (coord_G1, coord_G2, coord_H)\n                - coord_G1: coordinate in G1 basis\n                - coord_G2: coordinates in G2 basis\n                - coord_H: original coordinates in H basis\n        \"\"\"\n        # For k-type splitting, restore the translation symmetry:\n        # e.g. (0.5, 0.5, 0.5), (0.5, 0, 0), .etc\n        # then find the best_match between coord1 and coord2,\n\n        if translation is None:\n            translation = np.zeros(3)\n        rot = splitter.R[:3, :3]\n        tran = splitter.R[:3, 3]\n        np.linalg.inv(rot)\n\n        wp1 = splitter.wp1_lists[id]  # wp_G\n        ops_H1 = splitter.H_orbits[id][0]  # operations of wp_h1\n        op_G21 = splitter.G2_orbits[id][0][0]  # operation 1 of wp_h1 in subgroup\n        ops_G22 = splitter.G2_orbits[id][1]  # operations of wp_h2 in subgroup\n\n        coord1_H, coord2_H = coord_H[0], coord_H[1]\n        coord1_G2, coord2_G2 = coord1_H + translation, coord2_H + translation\n\n        # since rotation does not change, search for the closest match on rotation\n        # then we can get the translation vector\n        for op_G22 in ops_G22:\n            diff = (op_G22.rotation_matrix - op_G21.rotation_matrix).flatten()\n            if np.sum(diff**2) < 1e-3:\n                trans = op_G22.translation_vector - op_G21.translation_vector\n                break\n        trans -= np.rint(trans)\n        coords11 = apply_ops(coord1_G2, ops_H1)\n        coords11 += trans\n        tmp, dist = get_best_match(coords11, coord2_G2, self.cell)\n\n        # needed displacement\n        if run_type == 1:\n            return dist / 2  # np.linalg.norm(np.dot(d/2, self.cell))\n        else:\n            d = coord2_G2 - tmp\n            d -= np.rint(d)\n            op_G11 = splitter.G1_orbits[id][0][0]\n            coord2_G2 -= d / 2\n            coord1_G2 += d / 2\n            coord1_G1, _ = search_G1(splitter.G, rot, tran, tmp, wp1, op_G11)\n            return coord1_G1, [coord1_G2, coord2_G2], coord_H\n\n    def symmetrize_site_double_t(self, splitter, id, coord_H, translation, run_type=1):\n        \"\"\"\n        Symmetrize two WPs (wp_h1, wp_h2) to another wp_G with higher symmetry.\n\n        Args:\n            splitter (Splitter): Splitter object to specify relation between groups\n            id (int): Index in the splitter\n            coord_H (array): Atomic coordinates\n            translation (array): 1x3 translation vector\n            run_type (int): Whether to return distances (1) or coordinates (0)\n\n        Returns:\n            run_type=1:\n            float: Maximum atomic displacement\n            run_type=0:\n            tuple: (coord_G1, coord_G2, coord_H)\n                - coord_G1: Coordinates in G1 basis\n                - coord_G2: Coordinates in G2 basis\n                - coord_H: Original coordinates in H basis\n        \"\"\"\n\n        if translation is None:\n            translation = np.zeros(3)\n        rot = splitter.R[:3, :3]\n        tran = splitter.R[:3, 3]\n        inv_rot = np.linalg.inv(rot)\n        cell_G = np.dot(np.linalg.inv(splitter.R[:3, :3]).T, self.cell)\n        wp1 = splitter.wp1_lists[id]  # wp_G\n        ops_G11 = splitter.G1_orbits[id][0]  # operations of wp_h1 in subgroup\n        ops_G12 = splitter.G1_orbits[id][1]  # operations of wp_h2 in subgroup\n        ops_G1 = splitter.G[0]  # general operations of G\n\n        coord1_H, coord2_H = coord_H[0], coord_H[1]  # coordinates in H\n        coord1_G2, coord2_G2 = coord1_H + translation, coord2_H + translation  # in G\n\n        # forward search for the best generator for wp_h1 and wp_h2 in subgroup\n        coord1_G1, _ = search_G1(splitter.G, rot, tran, coord1_G2, wp1, ops_G11[0])\n        coord2_G1, _ = search_G1(splitter.G, rot, tran, coord2_G2, wp1, ops_G12[0])\n\n        # apply the operations in G\n        # find the position that is closest to coord2_G1\n        coords11 = apply_ops(coord1_G1, ops_G1)\n        tmp, dist = get_best_match(coords11, coord2_G1, cell_G)\n\n        # self.print_wp(splitter, id)\n        if run_type == 1:\n            return dist / 2\n        else:\n            # G1->G2->H\n            d = coord2_G1 - tmp\n            d -= np.rint(d)\n            coord2_G1 -= d / 2\n\n            coords22 = apply_ops(coord2_G1, ops_G1)\n            coord1_G1, dist = get_best_match(coords22, coord1_G1, cell_G)\n            # print(\"in G\", l1, coord1_G1, l2, coord2_G1)\n\n            # backward search (G->H)\n            coord1_G2, dist = search_G2(inv_rot, -tran, coord1_G1, coord1_G2, self.cell)\n            coord2_G2, dist = search_G2(inv_rot, -tran, coord2_G1, coord2_G2, self.cell)\n            # print(\"in G1\", l1, coord1_G2, l2, coord2_G2, dist)\n\n            return coord2_G1, np.array([coord1_G2, coord2_G2]), coord_H\n\n    def symmetrize_site_multi(self, splitter, id, coord_H, translation, run_type=1):\n        \"\"\"\n        Symmetrize multiple WPs to another with higher symmetry.\n\n        Args:\n            splitter (Splitter): Splitter object between G and H groups\n            id (int): Index in the splitter\n            coord_H (array): Array of atomic coordinates\n            translation (array): Translation vector of shape (3,)\n            run_type (int): Whether to return distances (1) or coordinates (0)\n\n        Returns:\n            run_type=1:\n            float: Maximum atomic displacement\n            run_type=0:\n            tuple: (coord_G1, coord_G2, coord_H)\n            - coord_G1: Coordinate in G1 basis\n            - coord_G2: Coordinates in G2 basis\n            - coord_H: Original coordinates in H basis\n        \"\"\"\n\n        if translation is None:\n            translation = np.zeros(3)\n\n        n = len(splitter.wp2_lists[id])\n        rot = splitter.R[:3, :3]\n        tran = splitter.R[:3, 3]\n        inv_rot = np.linalg.inv(rot)\n        cell_G = np.dot(np.linalg.inv(splitter.R[:3, :3]).T, self.cell)\n        wp1 = splitter.wp1_lists[id]\n\n        # Finds the correct quadrant to easily generate all possible_wycs\n        # add translations when trying to match\n        quadrant = np.array(splitter.G2_orbits[id][0][0].as_dict()[\"matrix\"])[:3, 3]\n        for k in range(3):\n            if quadrant[k] >= 0.0:\n                quadrant[k] = 1\n            else:\n                quadrant[k] = -1\n\n        coord_G2 = coord_H + translation\n        coord_G2 %= quadrant\n\n        # uses 1st coordinate and 1st wyckoff position as starting example.\n        # Finds the matching G2 operation based on the nearest G1 search\n        dist_list = []\n        coord_list = []\n        index = []\n        G2_xyz = np.zeros([n, 3])\n        corresponding_ops = []\n\n        for op in splitter.G1_orbits[id][0]:\n            coord, dist = search_G1(splitter.G, rot, tran, coord_G2[0], wp1, op)\n            dist_list.append(dist)\n            coord_list.append(coord)\n\n        dist_list = np.array(dist_list)\n        index.append(np.argmin(dist_list))\n        corresponding_ops.append(splitter.G2_orbits[id][0][index[0]])\n\n        # Finds the free parameters xyz in the G2 basis for this coordinate\n        G2_xyz[0] += find_xyz(corresponding_ops[0], coord_G2[0], quadrant)\n\n        # Generates all possible G2 positions to match the remaining coordinates\n        # Also finds the corresponding G2 free parameters xyz for each coordinate\n        for j in range(1, n):\n            possible_coords = [x.operate(G2_xyz[0]) for x in splitter.G2_orbits[id][j]]\n            corresponding_coord, _ = get_best_match(possible_coords, coord_G2[j], cell_G)\n            index.append([np.all(x == corresponding_coord) for x in possible_coords].index(True))\n            corresponding_ops.append(splitter.G2_orbits[id][j][index[j]])\n            G2_xyz[j] += find_xyz(corresponding_ops[j], coord_G2[j], quadrant)\n        # print(G2_xyz)\n\n        # Finds the average free parameters between all the coordinates as the best set\n        # of free parameters that all coordinates must match\n        final_xyz = np.mean(G2_xyz, axis=0)\n\n        if run_type == 1:\n            dist_list = []\n            for j in range(n):\n                d = np.dot(G2_xyz[j] - final_xyz, cell_G)\n                dist_list.append(np.linalg.norm(d))\n            return max(dist_list)\n        else:\n            coords_G1 = np.zeros([n, 3])  # xyz in G1\n            coords_G2 = np.zeros([n, 3])  # xyz in G2\n            # dist_list = []\n            for j in range(n):\n                coords_G1[j] = splitter.G1_orbits[id][j][index[j]].operate(final_xyz)\n                tmp = coord_H[j] + translation\n                coords_G2[j], _ = search_G2(inv_rot, -tran, coords_G1[j], tmp, self.cell)\n                # dist_list.append(dist)\n            # print(\"dist\", dist)\n            return coords_G1[0], coords_G2, coord_H\n\n    def print_detail(self, solution, coords_H, coords_G, elements):\n        \"\"\"\n        Print out the details of tranformation\n        \"\"\"\n        (sp, mapping, translation, _, max_disp) = solution\n        print(\"\\nTransition: \", sp.H.number, \"->\", sp.G.number)\n        print(f\"Maximum displacement: {max_disp:6.3f}\")\n        print(\"Mapping:\", mapping)\n\n        count = 0\n        disps = []\n        for i, wp2 in enumerate(sp.wp2_lists):\n            wp1 = sp.wp1_lists[i]\n            for wp in wp2:\n                x, y, ele = coords_H[count], coords_G[count], elements[count]\n                label = wp.get_label() + \"->\" + wp1.get_label()\n                dis = y - x - translation\n                dis -= np.rint(dis)\n                dis_abs = np.linalg.norm(dis.dot(self.cell))\n                output = \"{:2s}[{:8s}] {:8.4f}{:8.4f}{:8.4f}\".format(ele, label, *x)\n                output += \" -> {:8.4f}{:8.4f}{:8.4f}\".format(*y)\n                output += \" -> {:8.4f}{:8.4f}{:8.4f} {:8.4f}\".format(*dis, dis_abs)\n                count += 1\n                disps.append(dis_abs)\n                print(output)\n        output = \"Cell: {:7.3f}{:7.3f}{:7.3f}\".format(*translation)\n        output += f\", Disp (A): {max(disps):6.3f}\"\n        print(output)\n\n    def sort_solutions(self, solutions):\n        disps = [solution[-1] for solution in solutions]\n        disps = np.array(disps)\n        seq = np.argsort(disps)\n        return [solutions[s] for s in seq]\n\n    def make_pyxtals_in_subgroup(self, solution, N_images=5):\n        \"\"\"\n        Make the pyxtal according to the given solution\n\n        Args:\n            solution: a tuple of (sp, mapping, translation, wyc_set_id, max_disp)\n            N_images: number of images\n\n        Return:\n            a list of pyxtal structures in low symmetry\n        \"\"\"\n        (sp, mapping, translation, wyc_set_id, max_disp) = solution\n        details = self.symmetrize(sp, mapping, translation)\n        _, coords_G2, coords_H1, elements, _ = details\n        # self.print_detail(solution, coords_H1, coords_G2, elements)\n\n        # Get the list of atomic displacements\n        disps = []\n        count = 0\n        for wp2 in sp.wp2_lists:\n            for _wp in wp2:\n                x, y, _ele = coords_H1[count], coords_G2[count], elements[count]\n                disp = y - x - translation\n                disp -= np.rint(disp)\n                disps.append(disp)\n                count += 1\n\n        # Create the PyXtals\n        strucs = []\n        disps = np.array(disps)\n        disps /= N_images - 1\n        max_disp = np.max(np.linalg.norm(disps.dot(self.cell), axis=1))\n        for i in range(N_images):\n            coords = coords_H1 + i * disps + translation\n            struc = self._make_pyxtal(sp, coords, elements, 1, False)\n            struc.source = f\"supergroup {i:d} {max_disp * i:6.3f}\"\n            strucs.append(struc)\n        return strucs\n\n    def make_pyxtal_in_supergroup(self, solution):\n        \"\"\"\n        Make the pyxtal according to the given solution\n\n        Args:\n            solution: a tuple of (sp, mapping, translation, wyc_set_id, max_disp)\n\n        Return:\n            a pyxtal structure in high symmetry\n        \"\"\"\n        (sp, mapping, translation, wyc_set_id, max_disp) = solution\n        details = self.symmetrize(sp, mapping, translation)\n        coords_G1, coords_G2, coords_H1, elements, _ = details\n        struc = self._make_pyxtal(sp, coords_G1)\n        struc.source = f\"supergroup {max_disp:6.3f}\"\n        struc.disp = max_disp\n        return struc\n\n    def _make_pyxtal(self, sp, coords, elements=None, run_type=0, check=True):\n        \"\"\"\n        Create the pyxtal with high/low symmetries\n\n        Args:\n            sp: splitter object\n            coords: coordinates for each WP\n            run_type: 0: high symmetry, otherwise low symmetry\n\n        Return:\n            pyxtal structure\n        \"\"\"\n        # Create the pyxtal\n        struc = self.struc.copy()\n        cell_G = np.dot(np.linalg.inv(sp.R[:3, :3]).T, self.cell)\n        lattice_G = Lattice.from_matrix(cell_G, ltype=sp.G.lattice_type)\n\n        # Collect the atom_sites\n        G_sites = []\n        if run_type == 0:\n            for i, wp in enumerate(sp.wp1_lists):\n                pos = coords[i]\n                pos -= np.floor(pos)\n                if check:\n                    # pos1 = wp.search_matched_position(sp.G[0], pos)\n                    pos1 = wp.search_generator(pos, sp.G[0])\n                    if pos1 is not None:\n                        site = atom_site(wp, pos1, sp.elements[i])\n                        G_sites.append(site)\n                    else:\n                        print(\"Group:\", self.struc.group.number)\n                        print(\"Position:\", pos)\n                        print(wp)\n                        raise RuntimeError(\"cannot assign the right wp\")\n                else:\n                    pos1 = pos\n            # Update space group and lattice\n            struc.group = sp.G\n            struc.lattice = lattice_G\n        else:\n            count = 0\n            for wp2 in sp.wp2_lists:\n                for wp in wp2:\n                    pos = coords[count]\n                    pos -= np.floor(pos)\n                    # pos1 = wp.search_matched_position(sp.H[0], pos)\n                    pos1 = wp.search_generator(pos, sp.H[0])\n                    if pos1 is not None:\n                        site = atom_site(wp, pos1, elements[count])\n                        G_sites.append(site)\n                        count += 1\n                    else:\n                        print(\"Position:\", pos)\n                        print(wp)\n                        print(sp)\n                        raise RuntimeError(\"cannot assign the right wp\")\n\n            cell_U = np.dot(sp.R[:3, :3].T, lattice_G.matrix)\n            struc.lattice = Lattice.from_matrix(cell_U, ltype=sp.H.lattice_type)\n        struc.atom_sites = G_sites\n        struc._get_formula()\n        return struc\n\n\n# class symmetry_mapper():\n#    \"\"\"\n#    Class to map the symmetry relation between two structures\n#    QZ: not needed now\n#    Args:\n#        struc_H: pyxtal structure with low symmetry (H)\n#        struc_G: pyxtal structure with high symmetry (G)\n#        max_d: maximum displacement to be considered\n#    \"\"\"\n#    def __init__(self, struc_H, struc_G, max_d=1.0):\n#        # initilize the necesary parameters\n#        G = struc_G.group\n#        H = struc_H.group\n#        elements, sites = struc_G._get_elements_and_sites()\n#        strucs, disp, cell, path, gts, sols = struc_G.get_transition(struc_H, d_tol=max_d)\n#        if path is not None:\n#            struc_G.subgroup_by_path(gts, sols)\n\n\nclass supergroups:\n    \"\"\"\n    Class to search for the feasible transition to a given super group.\n\n    Args:\n        struc: PyXtal object\n            Input structure with subgroup symmetry (H)\n        G: int, optional\n            Target supergroup space group number\n        path: list, optional\n            List of space group numbers defining path from H to G (e.g. [62, 59, 74])\n        d_tol: float, default=1.0\n            Maximum allowed atomic displacement during symmetry change\n        max_per_G: int, default=100\n            Maximum number of symmetry solutions to consider per group\n        max_layer: int, default=5\n            Maximum number of intermediate groups in path\n        show: bool, default=False\n            Whether to show detailed progress\n\n    Note:\n        Either G or path must be provided, but not both None.\n    \"\"\"\n\n    def __init__(\n        self,\n        struc,\n        G=None,\n        path=None,\n        d_tol=1.0,\n        max_per_G=100,\n        max_layer=5,\n        show=False,\n    ):\n        self.struc_H = struc\n        self.show = show\n        self.d_tol = d_tol\n        self.max_per_G = max_per_G\n        self.max_layer = max_layer\n\n        if path is None:\n            if G is None:\n                raise ValueError(\"G and path cannot be None at the same time\")\n            paths = struc.group.search_supergroup_paths(G, max_layer=max_layer)\n        else:\n            paths = [path]\n            G = path[-1]\n        self.G = G\n\n        print(f\"{len(paths):d} paths will be checked\")\n        self.strucs = None\n        failed_paths = []\n        for i, p in enumerate(paths):\n            status = f\"Path{i:2d}: {p!s:s}, \"\n            if new_path(p, failed_paths):\n                strucs, solutions, w_path, valid = self.struc_along_path(p)\n                status += f\"stops at: {w_path!s:s}\"\n                if valid:\n                    self.strucs = strucs\n                    self.solutions = solutions\n                    if len(strucs) > len(p):\n                        self.path = [self.struc_H.group.number, *p]\n                    else:\n                        self.path = p\n                    break\n                failed_paths.append(w_path)\n            else:\n                status += \"skipped...\"\n\n    def __str__(self):\n        s = \"\\nTransition to super group: \"\n        if self.strucs is None:\n            s += \"Unsuccessful, check your input\"\n        else:\n            s += f\"{self.path[0]:d}\"\n            for i, p in enumerate(self.path[1:]):\n                s += f\" -> {p:d} [{self.strucs[i + 1].disp:4.3f}]\"\n            s += \"\\n\"\n            for struc in self.strucs:\n                s += str(struc)\n        return s\n\n    def __repr__(self):\n        return str(self)\n\n    def print_solutions(self):\n        for solution in self.solutions:\n            (sp, mapping, trans, wyc_set_id, max_disp) = solution\n            print(\"\\nTransition: \", sp.H.number, \"->\", sp.G.number)\n            output = \"Cell: {:7.3f}{:7.3f}{:7.3f}\".format(*trans)\n            output += f\", Disp (A): {max_disp:6.3f}\"\n            print(output)\n            # print('mapping', mapping)\n            for i, wp2 in enumerate(sp.wp2_lists):\n                wp1 = sp.wp1_lists[i]\n                ele = sp.elements[i]\n                l2 = wp1.get_label()\n                for _j, wp in enumerate(wp2):\n                    l1 = wp.get_label()\n                    output = f\"{ele:2s} [{mapping[i]:2d}]: \"\n                    output += f\"{l1:3s} -> {l2:3s}\"\n                    print(output)\n\n    def get_transformation(self, N_images=2):\n        \"\"\"\n        Get the series of transformed structures between H and G\n\n        Args:\n            N_images: number of structures\n\n        Returns:\n            a series of pyxtal structures\n        \"\"\"\n        # self.print_solutions()\n        # derive the backward subgroup representation\n        struc0 = self.strucs[-1]\n        for i in range(1, len(self.solutions) + 1):\n            (sp, mapping, trans, wyc_set_id, max_disp) = self.solutions[-i]\n            struc0 = struc0._subgroup_by_splitter(sp, eps=0)\n            seq = [mapping.index(x) for x in list(range(len(mapping)))]\n            struc0.atom_sites = [struc0.atom_sites[i] for i in seq]\n            if wyc_set_id > 0:\n                struc0 = struc0._get_alternative_back(wyc_set_id)\n            # print(struc0)\n            # print(i, sp.G.number, sp.H.number, wyc_set_id, match, trans)\n        # print(self.struc_H)\n        # print(struc0)\n        disps, _, _, _ = self.struc_H.get_disps_sets(struc0, d_tol=1.0, keep_lattice=True)\n        if disps is not None:\n            cell = struc0.lattice.matrix\n            return self.struc_H.make_transitions(disps, lattice=cell, N_images=N_images)\n        else:\n            raise RuntimeError(\"Cannot find the match between H and G\")\n\n    def struc_along_path(self, path):\n        \"\"\"\n        Search for the super group structure along a given path.\n\n        Args:\n            path (list): List of space group numbers, e.g. [59, 71, 139]\n\n        Returns:\n            tuple: (strucs, valid_sols, working_path, valid)\n            - strucs: List of structures along the path\n            - valid_sols: List of valid solutions for each transition\n            - working_path: List of space group numbers along the path\n            - valid: True if successfully reached target group, False otherwise\n        \"\"\"\n        strucs = []\n        valid_sols = []\n        working_path = []\n        valid = False\n\n        G_strucs = [self.struc_H]\n        prev_sols = None\n\n        for G in path:\n            working_path.append(G)\n            # Here we just include the first one that works\n            for i, G_struc in enumerate(G_strucs):\n                my = supergroup(G_struc, G)\n                sols = my.search_supergroup(self.d_tol, self.max_per_G)\n                new_G_strucs, new_sols = my.make_supergroup(sols, show_detail=self.show)\n                if len(new_G_strucs) > 0:\n                    strucs.append(G_struc)\n                    if prev_sols is not None:\n                        valid_sols.append(prev_sols[i])\n                    G_strucs = new_G_strucs\n                    prev_sols = deepcopy(new_sols)\n                    break\n            # Give up if the path does not work\n            if len(new_G_strucs) == 0:\n                break\n\n        # add the final struc\n        if len(new_G_strucs) > 0:\n            ds = [st.disp for st in new_G_strucs]\n            minID = np.argmin(np.array(ds))\n            strucs.append(new_G_strucs[minID])\n            valid_sols.append(prev_sols[i])\n            valid = True\n        return strucs, valid_sols, working_path, valid\n\n    def write_cifs(self):\n        \"\"\"\n        Dump the cif files in sequence\n        \"\"\"\n        for i, struc in enumerate(self.strucs):\n            struc.to_file(str(i) + \"-G\" + str(struc.group.number) + \".cif\")\n\n\nif __name__ == \"__main__\":\n    from time import time\n    from pyxtal import pyxtal\n\n    data = {\n        # \"PVO\": [12, 166],\n        # \"PPO\": [12],\n        \"BTO\": [123, 221],\n        \"lt_cristobalite\": [98, 210, 227],\n        \"BTO-Amm2\": [65, 123, 221],\n        \"NaSb3F10\": [176, 194],\n        \"MPWO\": [59, 71, 139, 225],\n        # \"NbO2\": 141,\n        # \"GeF2\": 62,\n        # \"lt_quartz\": 180,\n        # \"NiS-Cm\": 160,\n        # \"BTO-Amm2\": 221,\n        # \"BTO\": 221,\n        # \"lt_cristobalite\": 227,\n        # \"NaSb3F10\": 194,\n        # \"MPWO\": 225,\n    }\n    cif_path = \"pyxtal/database/cifs/\"\n\n    for cif in data:\n        t0 = time()\n        print(\"===============\", cif, \"===============\")\n        s = pyxtal()\n        s.from_seed(cif_path + cif + \".cif\")\n        if isinstance(data[cif], list):\n            sup = supergroups(s, path=data[cif], show=False, max_per_G=2500)\n        else:\n            sup = supergroups(s, G=data[cif], show=False, max_per_G=2500)\n        if len(sup.strucs) > 0:\n            # print(sup.strucs[-1])\n            strucs = sup.get_transformation()\n            pmg_0, pmg_1 = s.to_pymatgen(), sup.strucs[-1].to_pymatgen()\n            pmg_2, pmg_3 = strucs[0].to_pymatgen(), strucs[1].to_pymatgen()\n            print(strucs)\n            dist1 = sm.StructureMatcher().get_rms_dist(pmg_0, pmg_2)[0]\n            dist2 = sm.StructureMatcher().get_rms_dist(pmg_1, pmg_3)[0]\n            strs = \"=====================================================\"\n            strs += f\"==============={time() - t0:12.3f} seconds\"\n            print(strs)\n            if dist1 > 1e-3 or dist2 > 1e-3:\n                print(\"+++++++++++++++++++++++++++++++Problem in \", cif)\n                break\n        else:\n            print(\"+++++++++++++++++++++++++++++++++++Problem in \", cif)\n            break"
  },
  {
    "path": "pyxtal/symmetry.py",
    "content": "\"\"\"\nModule for storing & accessing symmetry group information, including\n    - Group class\n    - Wyckoff_Position class.\n    - Hall class\n\"\"\"\n\nfrom __future__ import annotations\n\nimport functools\nimport importlib.util\nimport itertools\nimport operator\nimport os\nimport re\nfrom copy import deepcopy\nfrom ast import literal_eval\n\nimport numpy as np\nfrom monty.serialization import loadfn\nfrom numpy.random import Generator\nfrom pandas import read_csv\n\nfrom pyxtal.constants import all_sym_directions, hex_cell, letters, ASU_bounds\nfrom pyxtal.operations import (\n    OperationAnalyzer,\n    SymmOp,\n    apply_ops,\n    check_images,\n    create_matrix,\n    distance,\n    distance_matrix,\n    filtered_coords,\n    filtered_coords_euclidean,\n)\nfrom pyxtal.asu_constraints import ASU, ASUCondition, create_asu_for_space_group\n\ndef rf(package_name, resource_path):\n    package_path = importlib.util.find_spec(\n        package_name).submodule_search_locations[0]\n    return os.path.join(package_path, resource_path)\n\n\"\"\"\nProperties for Lazy Loading\n\"\"\"\nclass SymmetryData:\n\n    _k_subgroup = None\n    _t_subgroup = None\n\n    def __init__(self):\n        self._wyckoff_sg = None\n        self._wyckoff_lg = None\n        self._wyckoff_rg = None\n        self._wyckoff_pg = None\n        self._symmetry_sg = None\n        self._symmetry_lg = None\n        self._symmetry_rg = None\n        self._symmetry_pg = None\n        self._generator_sg = None\n        self._generator_lg = None\n        self._generator_rg = None\n        self._generator_pg = None\n        self._t_subgroup = None\n        self._k_subgroup = None\n        self._hall_table = None\n\n    @classmethod\n    def get_t_subgroup(cls):\n        if cls._t_subgroup is None:\n            cls._t_subgroup = loadfn(rf(\"pyxtal\", \"database/t_subgroup.json\"))\n        return cls._t_subgroup\n\n    @classmethod\n    def get_k_subgroup(cls):\n        if cls._k_subgroup is None:\n            cls._k_subgroup = loadfn(rf(\"pyxtal\", \"database/k_subgroup.json\"))\n        return cls._k_subgroup\n\n    def get_wyckoff_sg(self):\n        if self._wyckoff_sg is None:\n            self._wyckoff_sg = read_csv(rf(\"pyxtal\", \"database/wyckoff_list.csv\"))\n        return self._wyckoff_sg\n\n    def get_wyckoff_lg(self):\n        if self._wyckoff_lg is None:\n            self._wyckoff_lg = read_csv(rf(\"pyxtal\", \"database/layer.csv\"))\n        return self._wyckoff_lg\n\n    def get_wyckoff_rg(self):\n        if self._wyckoff_rg is None:\n            self._wyckoff_rg = read_csv(rf(\"pyxtal\", \"database/rod.csv\"))\n        return self._wyckoff_rg\n\n    def get_wyckoff_pg(self):\n        if self._wyckoff_pg is None:\n            self._wyckoff_pg = read_csv(rf(\"pyxtal\", \"database/point.csv\"))\n        return self._wyckoff_pg\n\n    def get_symmetry_sg(self):\n        if self._symmetry_sg is None:\n            self._symmetry_sg = read_csv(rf(\"pyxtal\", \"database/wyckoff_symmetry.csv\"))\n        return self._symmetry_sg\n\n    def get_symmetry_lg(self):\n        if self._symmetry_lg is None:\n            self._symmetry_lg = read_csv(rf(\"pyxtal\", \"database/layer_symmetry.csv\"))\n        return self._symmetry_lg\n\n    def get_symmetry_rg(self):\n        if self._symmetry_rg is None:\n            self._symmetry_rg = read_csv(rf(\"pyxtal\", \"database/rod_symmetry.csv\"))\n        return self._symmetry_rg\n\n    def get_symmetry_pg(self):\n        if self._symmetry_pg is None:\n            self._symmetry_pg = read_csv(rf(\"pyxtal\", \"database/point_symmetry.csv\"))\n        return self._symmetry_pg\n\n    def get_generator_sg(self):\n        if self._generator_sg is None:\n            self._generator_sg = read_csv(rf(\"pyxtal\", \"database/wyckoff_generators.csv\"))\n        return self._generator_sg\n\n    def get_generator_lg(self):\n        if self._generator_lg is None:\n            self._generator_lg = read_csv(rf(\"pyxtal\", \"database/layer_generators.csv\"))\n        return self._generator_lg\n\n    def get_generator_rg(self):\n        if self._generator_rg is None:\n            self._generator_rg = read_csv(rf(\"pyxtal\", \"database/rod_generators.csv\"))\n        return self._generator_rg\n\n    def get_generator_pg(self):\n        if self._generator_pg is None:\n            self._generator_pg = read_csv(rf(\"pyxtal\", \"database/point_generators.csv\"))\n        return self._generator_pg\n\n    def get_hall_table(self):\n        if self._hall_table is None:\n            self._hall_table = read_csv(rf(\"pyxtal\", \"database/HM_Full.csv\"), sep=\",\")\n        return self._hall_table\n\n# ------------------------------ Constants ---------------------------------------\nSYMDATA = SymmetryData()\nHALL_TABLE = SYMDATA.get_hall_table()\nface_centers = [22, 42, 43, 69, 70, 196, 202, 203, 209, 210,\n                216, 219, 225, 226, 227, 228]\nbody_centers = [23, 24, 44, 45, 46, 71, 72, 73, 74, 79,\n                80, 82, 87, 88, 97, 98, 107, 108, 109, 110,\n                119, 120, 121, 122, 139, 140, 141, 142, 197, 199,\n                204, 206, 211, 214, 217, 220, 229, 230]\na_centers = [38, 39, 40, 41]\nc_centers = [5, 8, 9, 12, 15, 20, 21, 35, 36, 37, 63, 64, 65, 66, 67, 68]\nr_centers = [146, 148, 155, 160, 161, 166, 167]\n# screw axes\nscrew_21a = [18, 19, 24, 51, 54, 55, 56, 58, 59, 60, 61, 62, 68, 72, 73,\n             90, 92, 94, 96, 113, 114, 122, 127, 128, 129, 130, 135, 136,\n             137, 138, 198, 199, 205, 206, 210, 212, 213, 214, 227, 228, 230]\nscrew_41a = [210, 213, 214, 227, 228, 230]\nscrew_42a = [208, 223, 224, 226]\nscrew_43a = [212]\nscrew_21b = [4, 11, 14, 18, 19, 24, 52, 55, 56, 57, 58, 59, 61, 62, 64, 67,\n             72, 73, 74, 90, 92, 94, 96, 113, 114, 127, 128, 129, 130, 135,\n             136, 137, 138, 198, 199, 205, 206, 210, 212, 213, 214, 227, 228, 230]\nscrew_41b = [210, 213, 214, 227, 228, 230]\nscrew_42b = [208, 223, 224, 226]\nscrew_43b = [212]\nscrew_21c = [17, 19, 20, 24, 26, 29, 31, 33, 36, 53, 57, 60, 61, 62, 63, 64,\n             73, 76, 78, 80, 88, 91, 92, 95, 96, 98, 109, 110, 141, 142, 169,\n             170, 173, 176, 178, 179, 182, 185, 186, 193, 194, 198, 199, 205,\n             206, 210, 212, 213, 214, 227, 228, 230]\nscrew_41c = [76, 80, 88, 91, 92, 98, 109, 110, 141, 142, 210, 213, 214, 227, 228, 230]\nscrew_42c = [77, 84, 86, 93, 94, 101, 102, 105, 106, 131, 132, 133, 134, 135,\n             136, 137, 138, 208, 223, 224, 226]\nscrew_43c = [78, 95, 96, 212]\nscrew_31c = [144, 151, 152, 169, 172, 178, 181]\nscrew_32c = [145, 153, 154, 170, 171, 179, 180]\nscrew_61c = [169, 178]\nscrew_62c = [171, 180]\nscrew_63c = [173, 176, 182, 185, 186, 193, 194]\nscrew_64c = [172, 181]\nscrew_65c = [170, 179]\n\n# glide planes\nb_glide_a = [32, 39, 41, 45, 50, 55, 57, 60, 61, 72, 73, 100, 106,\n             110, 117, 125, 127, 133, 135, 205, 206, 230]\nc_glide_a = [27, 29, 37, 49, 54, 56, 66, 68, 101, 103, 108, 116, 120,\n             124, 130, 132, 138, 140, 142]#, 158, 159, 161, 163, 165,\n             #167, 184, 185, 186, 188, 190, 192, 193, 194]\nn_glide_a = [30, 33, 34, 48, 52, 58, 62, 102, 104, 109, 118, 126,\n             128, 134, 136, 201, 222, 224]\nd_glide_a = [43, 70, 203, 227, 228]\na_glide_b = [28, 29, 32, 33, 40, 41, 45, 46, 50, 55, 72, 100, 106, 117,\n             125, 127, 133, 135, 142]\nc_glide_b = [7, 9, 13, 14, 15, 26, 27, 30, 36, 37, 49, 54, 56, 57, 60,\n             61, 63, 64, 66, 68, 73, 101, 103, 108, 110, 116, 120, 124,\n             130, 132, 138, 140, 205, 206, 230]\n             #130, 132, 138, 140, 159, 163, 184, 186, 190, 192, 194, 205, 206, 230]\nn_glide_b = [31, 34, 48, 52, 53, 58, 102, 104, 118, 126, 128, 134, 136,\n             141, 201, 222, 224]\nd_glide_b = [43, 70, 203, 227, 228]\na_glide_c = [51, 52, 53, 54, 61, 62, 68, 73, 88, 141, 142, 205, 206, 230]\nb_glide_c = [64, 67, 74]\nn_glide_c = [48, 50, 56, 59, 60, 85, 86, 125, 126, 129, 130, 133, 134,\n             137, 138, 201, 222, 224]\nd_glide_c = [70, 203, 227, 228]\ncn_glide_110 = [103, 104, 105, 106, 108, 112, 113, 114, 124, 126, 128,\n                130, 131, 133, 135, 137, 138, 140, 158, 161, 165, 167,\n                184, 185, 188, 192, 193, 218, 219, 222, 223, 224, 226,\n                228]\nan_glide_011 = [222, 224]\nbn_glide_101 = [222, 224]\nd_glide_110 = [109, 110, 122, 141, 142, 220, 230]\nd_glide_011 = [220, 230]\nd_glide_101 = [220, 230]\n\nspglib_hall_numbers = [\n    1, 2, 3, 6, 9, 18, 21, 30, 39, 57, 60, 63, 72, 81, 90, 108, 109, 112, 115, 116,\n    119, 122, 123, 124, 125, 128, 134, 137, 143, 149, 155, 161, 164, 170, 173, 176,\n    182, 185, 191, 197, 203, 209, 212, 215, 218, 221, 227, 228, 230, 233, 239, 245,\n    251, 257, 263, 266, 269, 275, 278, 284, 290, 292, 298, 304, 310, 313, 316, 322,\n    334, 335, 337, 338, 341, 343, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358,\n    359, 361, 363, 364, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377,\n    378, 379, 380, 381, 382, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 393,\n    394, 395, 396, 397, 398, 399, 400, 401, 402, 404, 406, 407, 408, 410, 412, 413,\n    414, 416, 418, 419, 420, 422, 424, 425, 426, 428, 430, 431, 432, 433, 435, 436,\n    438, 439, 440, 441, 442, 443, 444, 446, 447, 448, 449, 450, 452, 454, 455, 456,\n    457, 458, 460, 462, 463, 464, 465, 466, 467, 468, 469, 470, 471, 472, 473, 474,\n    475, 476, 477, 478, 479, 480, 481, 482, 483, 484, 485, 486, 487, 488, 489, 490,\n    491, 492, 493, 494, 495, 497, 498, 500, 501, 502, 503, 504, 505, 506, 507, 508,\n    509, 510, 511, 512, 513, 514, 515, 516, 517, 518, 520, 521, 523, 524, 525, 527,\n    529, 530,\n]\n\n# The map between standard space group and hall numbers\npyxtal_hall_numbers = [\n    1, 2, 3, 6, 9, 18, 21, 30, 39, 57, 60, 63, 72, 81, 90, 108, 109, 112, 115, 116,\n    119, 122, 123, 124, 125, 128, 134, 137, 143, 149, 155, 161, 164, 170, 173, 176,\n    182, 185, 191, 197, 203, 209, 212, 215, 218, 221, 227, 229, 230, 234, 239, 245,\n    251, 257, 263, 266, 269, 275, 279, 284, 290, 292, 298, 304, 310, 313, 316, 323,\n    334, 336, 337, 338, 341, 343, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358,\n    360, 362, 363, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377,\n    378, 379, 380, 381, 382, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 393,\n    394, 395, 396, 397, 398, 399, 400, 401, 403, 405, 406, 407, 409, 411, 412, 413,\n    415, 417, 418, 419, 421, 423, 424, 425, 427, 429, 430, 431, 432, 433, 435, 436,\n    438, 439, 440, 441, 442, 443, 444, 446, 447, 448, 449, 450, 452, 454, 455, 456,\n    457, 458, 460, 462, 463, 464, 465, 466, 467, 468, 469, 470, 471, 472, 473, 474,\n    475, 476, 477, 478, 479, 480, 481, 482, 483, 484, 485, 486, 487, 488, 489, 490,\n    491, 492, 493, 494, 496, 497, 499, 500, 501, 502, 503, 504, 505, 506, 507, 508,\n    509, 510, 511, 512, 513, 514, 515, 516, 517, 519, 520, 522, 523, 524, 526, 528,\n    529, 530,\n]\n\n\n# --------------------------- Hall class -----------------------------\nclass Hall:\n    \"\"\"\n    Class for conversion between Hall and standard spacegroups\n    http://cci.lbl.gov/sginfo/itvb_2001_table_a1427_hall_symbols.html\n\n    Args:\n        spg_num: interger number between 1 and 230\n        style: spglib or pyxtal\n        permutation: allow permutation or not\n    \"\"\"\n\n    def __init__(self, spgnum, style=\"pyxtal\", permutation=False):\n        self.spg = spgnum\n        if style == \"pyxtal\":\n            self.hall_default = pyxtal_hall_numbers[spgnum - 1]\n        else:\n            self.hall_default = spglib_hall_numbers[spgnum - 1]\n        self.hall_numbers = []\n        self.hall_symbols = []\n        self.Ps = []  # convertion from standard\n        self.P1s = []  # inverse convertion to standard\n        for id in range(len(HALL_TABLE[\"Hall\"])):\n            if HALL_TABLE[\"Spg_num\"][id] == spgnum:\n                include = True if permutation else HALL_TABLE[\"Permutation\"][id] == 0\n                if include:\n                    self.hall_numbers.append(HALL_TABLE[\"Hall\"][id])\n                    self.hall_symbols.append(HALL_TABLE[\"Symbol\"][id])\n                    self.Ps.append(abc2matrix(HALL_TABLE[\"P\"][id]))\n                    self.P1s.append(abc2matrix(HALL_TABLE[\"P^-1\"][id]))\n            elif HALL_TABLE[\"Spg_num\"][id] > spgnum:\n                break\n        if len(self.hall_numbers) == 0:\n            msg = \"hall numbers cannot be found, check input \" + spgnum\n            raise RuntimeError(msg)\n\n\n# --------------------------- Group class -----------------------------\nclass Group:\n    \"\"\"\n    Class for storing a set of Wyckoff positions for a symmetry group.\n    See the documentation for details about settings.\n\n    Examples\n    --------\n    >>> from pyxtal.symmetry import Group\n    >>> g = Group(64)\n    >>> g\n    -- Spacegroup --# 64 (Cmce)--\n    16g\tsite symm: 1\n    8f\tsite symm: m..\n    8e\tsite symm: .2.\n    8d\tsite symm: 2..\n    8c\tsite symm: -1\n    4b\tsite symm: 2/m..\n    4a\tsite symm: 2/m..\n\n    One can access data such as `symbol`, `number` and `Wyckoff_positions`:\n\n    >>> g.symbol\n    'Cmce'\n    >>> g.number\n    64\n    >>> g.Wyckoff_positions[0]\n    Wyckoff position 16g in space group 64 with site symmetry 1\n    x, y, z\n    -x, -y+1/2, z+1/2\n    -x, y+1/2, -z+1/2\n    x, -y, -z\n    -x, -y, -z\n    x, y+1/2, -z+1/2\n    x, -y+1/2, z+1/2\n    -x, y, z\n    x+1/2, y+1/2, z\n    -x+1/2, -y+1, z+1/2\n    -x+1/2, y+1, -z+1/2\n    x+1/2, -y+1/2, -z\n    -x+1/2, -y+1/2, -z\n    x+1/2, y+1, -z+1/2\n    x+1/2, -y+1, z+1/2\n    -x+1/2, y+1/2, z\n\n    We also provide several utilities functions, e.g.,\n    one can search the possible wyckoff_combinations by a formula:\n\n    >>> g.list_wyckoff_combinations([4, 2])\n    ([], [], [])\n    >>> g.list_wyckoff_combinations([4, 8])\n    ([[['4a'], ['8c']],\n    [['4a'], ['8d']],\n    [['4a'], ['8e']],\n    [['4a'], ['8f']],\n    [['4b'], ['8c']],\n    [['4b'], ['8d']],\n    [['4b'], ['8e']],\n    [['4b'], ['8f']]],\n    [False, True, True, True, False, True, True, True],\n    [[[6], [4]], [[6], [3]], [[6], [2]], [[6], [1]],\n    [[5], [4]], [[5], [3]], [[5], [2]], [[5], [1]]]\n    )\n\n    Or search the subgroup information:\n\n    >>> g.get_max_t_subgroup()['subgroup']\n    [12, 14, 15, 20, 36, 39, 41]\n\n    Or check if a given composition is compatible with Wyckoff positions:\n\n    >>> g = Group(225)\n    >>> g.check_compatible([64, 28, 24])\n    (True, True)\n\n    Or check the possible transition paths to a given supergroup:\n\n    >>> g = Group(59)\n    >>> g.search_supergroup_paths(139, 2)\n    [[71, 139], [129, 139], [137, 139]]\n\n    Args:\n        group: The group symbol or international number\n        dim (int, default: 3): The periodic dimension of the group\n        use_hall (bool, default: False): Whether or not use the hall number\n        style (str, default: ``pyxtal``): The choice of hall number (``pyxtal``/``spglib``)\n        quick (bool, default: False): Whether or not ignore the wyckoff information\n    \"\"\"\n\n    def __init__(self, group, dim=3, use_hall=False, style=\"pyxtal\", quick=False):\n        self.string = None\n        self.dim = dim\n        names = [\"Point\", \"Rod\", \"Layer\", \"Space\"]\n        self.header = \"-- \" + names[dim] + \"group --\"\n\n        # Retrieve symbol and number for the group (avoid redundancy)\n        if not use_hall:\n            self.symbol, self.number = get_symbol_and_number(group, dim)\n        else:\n            self.symbol = HALL_TABLE[\"Symbol\"][group - 1]\n            self.number = HALL_TABLE[\"Spg_num\"][group - 1]\n\n        self.PBC, self.lattice_type = get_pbc_and_lattice(self.number, dim)\n\n        if dim == 3:\n            self.lattice_id = self.get_lattice_id()\n            results = get_point_group(self.number)\n            self.point_group, self.pg_number, self.polar, self.inversion, self.chiral = results\n\n        # Lazy load Wyckoff positions and hall data unless quick=True\n        if not quick:\n            self._initialize_hall_data(group, use_hall, style, dim)\n            self._initialize_wyckoff_data(dim)\n\n    def _initialize_hall_data(self, group, use_hall, style, dim):\n        \"\"\"Initialize hall number and transformation matrices.\"\"\"\n        if dim == 3:\n            if not use_hall:\n                if style == \"pyxtal\":\n                    self.hall_number = pyxtal_hall_numbers[self.number - 1]\n                else:\n                    self.hall_number = spglib_hall_numbers[self.number - 1]\n            else:\n                self.hall_number = group\n            self.P = abc2matrix(HALL_TABLE[\"P\"][self.hall_number - 1])\n            self.P1 = abc2matrix(HALL_TABLE[\"P^-1\"][self.hall_number - 1])\n        else:\n            self.hall_number, self.P, self.P1 = None, None, None\n\n    def _initialize_wyckoff_data(self, dim):\n        \"\"\"Initialize Wyckoff positions and organize them.\"\"\"\n        # Wyckoff positions, site_symmetry, generator\n        self.wyckoffs = get_wyckoffs(self.number, dim=dim)\n        self.w_symm = get_wyckoff_symmetry(self.number, dim=dim)\n\n        # Create dicts with relevant Wyckoff position data lazily\n        wpdicts_gen = [\n            {\n                \"index\": i,\n                \"letter\": letter_from_index(i, self.wyckoffs, dim=self.dim),\n                \"ops\": self.wyckoffs[i],\n                \"multiplicity\": len(self.wyckoffs[i]),\n                \"symmetry\": self.w_symm[i],\n                \"PBC\": self.PBC,\n                \"dim\": self.dim,\n                \"number\": self.number,\n                \"symbol\": self.symbol,\n                \"P\": self.P,\n                \"P1\": self.P1,\n                \"hall_number\": self.hall_number,\n                \"directions\": self.get_symmetry_directions(),\n                \"lattice_type\": self.lattice_type,\n            }\n            for i in range(len(self.wyckoffs))\n        ]\n\n        # A list of Wyckoff_positions sorted by descending multiplicity\n        #self.Wyckoff_positions = []\n        #for wpdict in wpdicts:\n        #    wp = Wyckoff_position.from_dict(wpdict)\n        #    self.Wyckoff_positions.append(wp)\n\n        # Use a generator to avoid keeping the full list of dicts in memory\n        self.Wyckoff_positions = [\n            Wyckoff_position.from_dict(wpdict) for wpdict in wpdicts_gen\n        ]\n\n        # Organize wyckoffs by multiplicity\n        self.wyckoffs_organized = organized_wyckoffs(self)\n\n    def __str__(self):\n        if self.string is not None:\n            return self.string\n        else:\n            s = self.header\n            s += \"# \" + str(self.number) + \" (\" + self.symbol + \")--\"\n\n            for wp in self.Wyckoff_positions:\n                s += \"\\n\" + wp.get_label()\n                if not hasattr(wp, \"site_symm\"):\n                    wp.get_site_symmetry()\n                s += \"\\tsite symm: \" + wp.site_symm\n            self.string = s\n\n            return self.string\n\n    def __repr__(self):\n        return str(self)\n\n    def __iter__(self):\n        yield from self.Wyckoff_positions\n\n    def __getitem__(self, index):\n        return self.get_wyckoff_position(index)\n\n    def __len__(self):\n        return len(self.wyckoffs)\n\n    def get_ferroelectric_groups(self):\n        \"\"\"\n        Return the list of possible ferroelectric point groups\n        \"\"\"\n        return para2ferro(self.point_group)\n\n    def get_site_dof(self, sites):\n        \"\"\"\n        Compute the degree of freedom for each site.\n\n        Args:\n            sites (list): List of site labels, e.g. ['4a', '8b'] or ['a', 'b']\n\n        Returns:\n            numpy.ndarray: Array of degrees of freedom for each site\n        \"\"\"\n\n        def extract_dof(site):\n            site_letter = site[-1] if len(site) > 1 else site\n            id = len(self) - letters.index(site_letter) - 1\n            xyz_str = self[id].ops[0].as_xyz_str()\n            return len(set(re.sub(r\"[^a-z]+\", \"\", xyz_str)))\n\n        return np.array([extract_dof(site) for site in sites])\n\n    def get_orders(self):\n        \"\"\"\n        Get possible Wyckoff position orders based on the composition and Z range.\n        \"\"\"\n        orders = []\n        for map_str in self.get_alternatives()['Transformed WP']: #[1:]:\n            original_list = map_str.split()\n            sorted_reference = sorted(original_list)\n            order = [sorted_reference.index(char) for char in original_list]\n            orders.append(order)\n        orders = np.array(orders, dtype=int)\n        return orders\n\n    def get_spg_representation(self):\n        \"\"\"\n        Get the one-hot encoding of the space group.\n        (lattice_id, symmetry_matrix)\n\n        Returns:\n            id: an integer between 0 and 13\n            one_hot: a (15, 26) numpy (0, 1) array\n        \"\"\"\n        return self.lattice_id, self.get_spg_symmetry_object().to_one_hot()\n\n    def get_subgroup_composition(self, ids, g_types=['t', 'k'], max_atoms=100,\n                                 max_wps=20, verbose=False):\n        \"\"\"\n        Get the composition of the subgroup Wyckoff positions.\n\n        Args:\n            ids (list, optional): Nested list of Wyckoff position indices [[0]].\n            verbose (bool): Whether to print debug information.\n            g_types (list): List of subgroup types to consider ('t' for translationengleiche, 'k' for klassengleiche).\n            max_atoms (int): Maximum number of atoms to consider for subgroup search.\n\n        Returns:\n            list: List of multiplicities of the Wyckoff positions.\n        \"\"\"\n        if verbose:\n            strs = f\"{self.number} ({self.symbol}): \"\n            for i in ids:\n                for id in i:\n                    wp = self[id]\n                    strs += f\"{wp.multiplicity}{wp.letter} \"\n            print(strs)\n        sub_symmetries = []\n        N_atoms = sum([self[id].multiplicity for i in ids for id in i])\n\n        for g_type in g_types:\n            if g_type == 't':\n                sub = self.get_max_t_subgroup()\n            else:\n                sub = self.get_max_k_subgroup()\n\n            for i, sub_g in enumerate(sub['subgroup']):\n                if N_atoms * sub['index'][i] > max_atoms:\n                    continue\n                sub_gg = Group(sub_g)\n                relation = sub['relations'][i]#; print(relation)\n                sub_ids = [[] for _ in range(len(ids))]\n                for j, _ids in enumerate(ids):\n                    for id in _ids:\n                        true_id = len(self)-id-1\n                        relation[true_id].sort()\n                        for r in relation[true_id]:\n                            letter = r[-1]#; print(\"test letter:\", relation[true_id])\n                            sub_ids[j].append(len(sub_gg) - letters.index(letter) - 1)\n                if sum(len(sublist) for sublist in sub_ids) <= max_wps:\n                    data = (sub_g, sub_ids, N_atoms * sub['index'][i])\n                    if data not in sub_symmetries:\n                        sub_symmetries.append(data)\n                        if verbose:\n                            strs = f\"{sub_gg.number} ({sub_gg.symbol}): \"\n                            for i in sub_ids:\n                                for id in i:\n                                    wp = sub_gg[id]\n                                    strs += f\"{wp.multiplicity}{wp.letter} \"\n                            print(strs, data)\n        return sub_symmetries\n\n    def get_lattice_id(self):\n        \"\"\"\n        Compute the id for the lattice.\n\n        Returns:\n            id (int): Encoded lattice id\n\n                - 0: triclinic-P\n                - 1: monoclinic-P\n                - 2: monoclinic-C\n                - 3: orthorhombic-P\n                - 4: orthorhombic-A\n                - 5: orthorhombic-B\n                - 6: orthorhombic-C\n                - 7: orthorhombic-I\n                - 8: orthorhombic-F\n                - 9: tetragonal-P\n                - 10: tetragonal-I\n                - 11: hexagonal-P\n                - 12: hexagonal-R\n                - 13: cubic-P\n                - 14: cubic-I\n                - 15: cubic-F\n        \"\"\"\n        if self.lattice_type in [\"triclinic\"]:\n            id = 0\n        elif self.lattice_type in [\"monoclinic\"]:\n            if self.symbol[0] == \"P\":\n                id = 1\n            else:\n                id = 2\n        elif self.lattice_type in [\"orthorhombic\"]:\n            if self.symbol[0] == \"P\":\n                id = 3\n            elif self.symbol[0] == \"A\":\n                id = 4\n            elif self.symbol[0] == \"B\":\n                id = 5\n            elif self.symbol[0] == \"C\":\n                id = 6\n            elif self.symbol[0] == \"I\":\n                id = 7\n            elif self.symbol[0] == \"F\":\n                id = 8\n        elif self.lattice_type in [\"tetragonal\"]:\n            if self.symbol[0] == \"P\":\n                id = 9\n            elif self.symbol[0] == \"I\":\n                id = 10\n        elif self.lattice_type in [\"hexagonal\", \"trigonal\", \"rhombohedral\"]:\n            if self.symbol[0] == \"P\":\n                id = 11\n            elif self.symbol[0] == \"R\":\n                id = 12\n        else: # cubic\n            if self.symbol[0] == \"P\":\n                id = 13\n            elif self.symbol[0] == \"I\":\n                id = 14\n            elif self.symbol[0] == \"F\":\n                id = 15\n        return id\n\n    def get_ASU(self):\n        \"\"\"\n        Get the asymmetric unit for the space group.\n\n        Returns:\n            list: A list of inequalities defining the asymmetric unit.\n        \"\"\"\n        return ASU_bounds[self.number-1]\n\n    def get_ASU_instance(self):\n        \"\"\"\n        Get the asymmetric unit (ASU) for the space group.\n        Available methods for ASU construction include:\n        - project_to_asu(coord): Project a given coordinate to the ASU.\n        - is_valid(coord): Check if a given coordinate is within the ASU.\n        \"\"\"\n        return create_asu_for_space_group(self.number)\n\n    def get_lattice_dof(self):\n        \"\"\"\n        Compute the degree of freedom for the lattice\n        \"\"\"\n        if self.lattice_type in [\"triclinic\"]:\n            dof = 6\n        elif self.lattice_type in [\"monoclinic\"]:\n            dof = 4\n        elif self.lattice_type in [\"orthorhombic\"]:\n            dof = 3\n        elif self.lattice_type in [\"tetragonal\", \"hexagonal\", \"trigonal\"]:\n            dof = 2\n        else:\n            dof = 1\n\n        return dof\n\n    def is_valid_hkl(self, h, k, l):\n        \"\"\"\n        Check if the given (h, k, l) is allowed by the space group symmetry.\n\n        Args:\n            h (int): Miller index h\n            k (int): Miller index k\n            l (int): Miller index l\n\n        Returns:\n            bool: True if (h, k, l) is allowed, False otherwise\n        \"\"\"\n        # Check if the (h, k, l) is allowed by the space group symmetry\n        # This is a placeholder implementation and should be replaced with the actual symmetry check\n        return is_hkl_allowed(h, k, l, self.number)\n\n    def get_reflection_conditions(self):\n        \"\"\"\n        Get the reflection conditions for the space group.\n\n        Returns:\n            dict: A dictionary with keys as (h, k, l) tuples and values as booleans indicating if the reflection is allowed.\n        \"\"\"\n        dicts = {\"fcs (all odd/even)\": face_centers,\n                \"bcs (h+k+l=2n)\": body_centers,\n                \"acs (k+l=2n)\": a_centers,\n                \"ccs (h+k=2n)\": c_centers,\n                \"rcs (h-k-l=3n)\": r_centers,\n                \"screw_21a (h00), h=2n\": screw_21a,\n                \"screw_41a (h00), h=4n\": screw_41a,\n                \"screw_42a (h00), h=2n\": screw_42a,\n                \"screw_43a (h00), h=4n\": screw_43a,\n                \"screw_21b (0k0), k=2n\": screw_21b,\n                \"screw_41b (0k0), k=4n\": screw_41b,\n                \"screw_42b (0k0), k=2n\": screw_42b,\n                \"screw_43b (0k0), k=4n\": screw_43b,\n                \"screw_21c (00l), l=2n\": screw_21c,\n                \"screw_41c (00l), l=4n\": screw_41c,\n                \"screw_42c (00l), l=2n\": screw_42c,\n                \"screw_43c (00l), l=4n\": screw_43c,\n                \"screw_31c (00l), l=3n\": screw_31c,\n                \"screw_32c (00l), l=3n\": screw_32c,\n                \"screw_61c (00l), l=6n\": screw_61c,\n                \"screw_62c (00l), l=3n\": screw_62c,\n                \"screw_63c (00l), l=2n\": screw_63c,\n                \"screw_64c (00l), l=3n\": screw_64c,\n                \"screw_65c (00l), l=6n\": screw_65c,\n                \"b_glide_a (0kl), k=2n\": b_glide_a,\n                \"c_glide_a (0kl), l=2n\": c_glide_a,\n                \"n_glide_a (0kl), k+l=2n\": n_glide_a,\n                \"d_glide_a (0kl), k+l=4n\": d_glide_a,\n                \"a_glide_b (h0l), h=2n\": a_glide_b,\n                \"c_glide_b (h0l), l=2n\": c_glide_b,\n                \"n_glide_b (h0l), h+l=2n\": n_glide_b,\n                \"d_glide_b (h0l), h+l=4n\": d_glide_b,\n                \"a_glide_c (hk0), h=2n\": a_glide_c,\n                \"b_glide_c (0kl), l=2n\": b_glide_c,\n                \"n_glide_c (0kl), h+l=2n\": n_glide_c,\n                \"d_glide_c (0kl), l=2n\": d_glide_c,\n                \"cn_glide_110 (hhl), l=2n\": cn_glide_110,\n                \"an_glide_011 (hkk), h=2n\": an_glide_011,\n                \"bn_glide_101 (hkh), k=2n\": bn_glide_101,\n                \"glide_110 (hhl), l=2n 2h+l=4n\": d_glide_110,\n                \"glide_011 (hkk), h=2n 2k+h=4n\": d_glide_011,\n                \"glide_101 (hkh), k=2n 2h+k=4n\": d_glide_101,\n        }\n        print(f\"Reflection condition applied\")\n        for key in dicts:\n            if self.number in dicts[key]:\n                strs = key\n                if self.number < 15 and key == 'c_glide_b (h0l), l=2n':\n                    strs += ' or h+l=2n'\n                print(strs)\n\n    def generate_possible_hkls(self, h_max, k_max=None, l_max=None, max_square=12):\n        \"\"\"\n        Generate reasonable hkl indices within a cutoff for different crystal systems.\n        This function considers the extinction conditions to limit the hkls.\n\n        Args:\n            max_h: maximum absolute value for h, k, l\n        \"\"\"\n        if k_max is None: k_max = h_max\n        if l_max is None: l_max = h_max\n\n        if self.number > 194:  # cubic\n            base_signs = [(1, 1, 1)]\n        elif self.number >= 143:  # hexagonal/trigonal\n            base_signs = [(1, 1, 1), (1, -1, 1)]\n        elif self.number >= 16:  # orthorhombic\n            base_signs = [(1, 1, 1)]\n        elif self.number >= 3:  # 2/m\n            base_signs = [(1, 1, 1), (1, 1, -1)]\n        #elif self.number >= 6:  # m\n        #    base_signs = [(1, 1, 1), (1, 1, -1), (-1, 1, 1), (-1, 1, -1)]\n        #elif self.number >= 3:  # 2\n        #    base_signs = [(1, 1, 1), (1, -1, 1), (-1, 1, 1), (1, -1, -1)]\n        #elif self.number >= 2:  # -1\n        #    base_signs = [(1, 1, 1), (1, 1, -1), (1, -1, 1), (-1, 1, 1)]\n        else:  # 1\n            base_signs = [(1, 1, 1), (1, 1, -1), (1, -1, 1), (-1, 1, 1),\n                          (1, -1, -1), (-1, 1, -1), (-1, -1, 1), (-1, -1, -1)]\n        # Generate all possible hkls and filter by extinction rules\n        possible_hkls = []\n        canonical_seen = set()  # Track canonical forms to avoid duplicates\n        symmetry_seen = set()  # Track symmetry-equivalent hkls\n\n        # Build reciprocal-space rotation operators from the general Wyckoff position\n        reciprocal_ops = []\n        op_seen = set()\n        if len(self.wyckoffs) > 0 and len(self.wyckoffs[0]) > 0:\n            for op in self.wyckoffs[0]:\n                try:\n                    matrix = np.rint(np.linalg.inv(op.rotation_matrix).T).astype(int)\n                except np.linalg.LinAlgError:\n                    continue\n                key = tuple(matrix.flatten().tolist())\n                if key not in op_seen:\n                    op_seen.add(key)\n                    reciprocal_ops.append(matrix)\n        if len(reciprocal_ops) == 0:\n            reciprocal_ops = [np.eye(3, dtype=int)]\n\n        def get_symmetry_key(hkl):\n            vec = np.array(hkl, dtype=int)\n            orbit = [tuple((matrix @ vec).tolist()) for matrix in reciprocal_ops]\n            return max(orbit)\n\n        for h in range(0, h_max + 1):\n            # add permutation\n            k_min = 0 #if self.number > 3 else h\n            for k in range(k_min, k_max + 1):\n                # add additional\n                l_min = 0 #if self.number > 15 else h\n                for l in range(l_min, l_max + 1):\n                    if h == 0 and k == 0 and l == 0:  # Exclude (0,0,0)\n                        continue\n                    if h*h + k*k + l*l > max_square:\n                        continue\n\n                    canonical = get_canonical_hkl(h, k, l, self.number)\n                    if canonical in canonical_seen: continue\n\n                    if h*h + k*k + l*l > 0:  # exclude (0,0,0)\n                        # Add all permutations and sign variations\n                        valid_hkls = []\n                        for signs in base_signs:\n                            if 2 < self.number < 16 and h == 0 and signs[2]==-1: continue\n                            sh, sk, sl = signs[0]*h, signs[1]*k, signs[2]*l\n                            if is_hkl_allowed(sh, sk, sl, self.number):\n                                if (sh, sk, sl) not in valid_hkls:\n                                    valid_hkls.append((sh, sk, sl))\n                                    #print('AAAAAAAAAAAAAAAAAAA', h, k, l, sh, sk, sl)\n                    if valid_hkls:\n                        canonical_seen.add(canonical)\n                        for hkl in valid_hkls:\n                            symmetry_key = get_symmetry_key(hkl)\n                            if symmetry_key not in symmetry_seen:\n                                symmetry_seen.add(symmetry_key)\n                                possible_hkls.append(hkl)\n\n        # Sort by h²+k²+l² in ascending order\n        possible_hkls.sort(key=lambda hkl: hkl[0]**2 + hkl[1]**2 + hkl[2]**2)\n\n        return possible_hkls  # remove duplicates\n\n    def generate_hkl_guesses(self, h_max=2, k_max=None, l_max=None, max_square=12,\n                             total_square=100, max_size=2000000, reduce=True,\n                             verbose=False):\n        \"\"\"\n        Generate reasonable hkl indices within a cutoff for different crystal systems.\n        This function considers the extinction conditions to limit the hkls.\n\n        Args:\n            h_max: maximum absolute value for h\n            l_max: maximum absolute value for k\n            k_max: maximum absolute value for l\n            max_square: maximum h^2 + k^2 + l^2\n            max_size: maximum number of guesses to return\n            reduce: whether or not reduce the number of guesses\n            verbose: whether or not print the possible hkls\n        \"\"\"\n        if k_max is None: k_max = h_max\n        if l_max is None: l_max = h_max\n        possible_hkls = self.generate_possible_hkls(h_max, k_max, l_max,\n                                                    max_square=max_square)\n        possible_hkls = np.array(possible_hkls)\n        n_hkls = len(possible_hkls)\n        if verbose: print([tuple(hkl) for hkl in possible_hkls])\n\n        if self.number >= 195:\n            guesses = np.reshape(possible_hkls, (len(possible_hkls), 1, 3))\n\n        elif self.number >= 143:\n            double_indices = np.array(list(itertools.combinations(range(n_hkls), 2)))\n            doubles = possible_hkls[double_indices]  # Shape: (n_doubles, 2, 3)\n            base_signs = np.array([(1, 1, 1), (1, -1, 1)])\n            all_guesses = []\n            for double in doubles:\n                for signs in base_signs:\n                    signed_double = double * signs[np.newaxis, :]\n                    all_guesses.extend(list(itertools.permutations(signed_double)))\n            guesses = np.array(all_guesses)\n\n        elif self.number >= 75:\n            # Generate all double combinations\n            double_indices = np.array(list(itertools.combinations(range(n_hkls), 2)))\n            doubles = possible_hkls[double_indices]  # Shape: (n_doubles, 2, 3)\n            all_guesses = []\n            for double in doubles:\n                all_guesses.extend(list(itertools.permutations(double)))\n            guesses = np.array(all_guesses)\n\n        elif self.number >= 16:\n            triple_indices = np.array(list(itertools.combinations(range(n_hkls), 3)))\n            triples = possible_hkls[triple_indices]  # Shape: (n_triples, 3, 3)\n            all_guesses = []\n            for triple in triples:\n                all_guesses.extend(list(itertools.permutations(triple)))\n            guesses = np.array(all_guesses)\n\n        elif self.number >= 3:\n            # Generate all quadruple combinations\n            quadruple_indices = np.array(list(itertools.combinations(range(n_hkls), 4)))\n            quadruples = possible_hkls[quadruple_indices]  # Shape: (n_quadruples, 4, 3)\n            base_signs = np.array([(1, 1, 1), (1, 1, -1)])\n\n            #from time import time\n            #t0 = time()\n            n_quads = len(quadruples)\n            n_signs = len(base_signs)\n            n_perms = 24  # 4! permutations\n            quads_expanded = np.tile(quadruples[:, np.newaxis, :, :], (1, n_signs, 1, 1))\n            signs_expanded = np.tile(base_signs[np.newaxis, :, np.newaxis, :], (n_quads, 1, 4, 1))\n            signed_quads = quads_expanded * signs_expanded\n            signed_quads = signed_quads.reshape(-1, 4, 3)\n\n            perms = np.array(list(itertools.permutations(range(4))))\n            guesses = np.empty((n_signs * n_quads * n_perms, 4, 3), dtype=int)\n            for i, perm in enumerate(perms):\n                start_idx = i * n_signs * n_quads\n                end_idx = (i + 1) * n_signs * n_quads\n                guesses[start_idx:end_idx] = signed_quads[:, perm, :]\n            #t1 = time()\n            #if verbose: print(\"Time for generating quadruple hkl guesses:\", t1 - t0, len(quadruples), len(guesses))\n\n        sums = np.sum(guesses**2, axis=(1, 2))#; print(len(sums))\n        ids = np.argsort(sums)\n        sums = sums[sums <= total_square]\n        ids = ids[:len(sums)]\n        guesses = guesses[ids]\n        #print(\"Debug\", guesses[-1], total_square, max_square); import sys; sys.exit()\n\n        if max_size is not None:\n            if len(ids) > max_size:\n                guesses = guesses[:max_size]\n\n        if reduce:\n            if verbose: print(\"Reducing hkl guesses...\", len(guesses))\n            guesses = self.reduce_hkl_guesses(guesses)\n\n        return guesses\n\n    def reduce_hkl_guesses(self, hkls):\n        \"\"\"\n        Reduce the hkl guesses by removing duplicates based on canonical forms.\n\n        Args:\n            hkls (list): np.ndarray of hkl guesses tuples\n\n        Returns:\n            list: Reduced hkls\n        \"\"\"\n        #print(\"Raw\", len(hkls), \"hkl guesses for space group\", self.number)\n\n        if 143 <= self.number <= 194:\n            # must follow the ordering constraints if two hkls have the same signs\n            # (h1, k1) >= (h2, k2) >= 0\n            condition1 = hkls[:, 0, :2] >= hkls[:, 1, :2]  # (h1, k1) >= (h2, k2)\n            condition2 = hkls[:, 1, :2] >= 0             # (h2, k2) >= 0\n            mask1 = np.all(condition1 & condition2, axis=1)\n            condition3 = hkls[:, 0, :2] <= hkls[:, 1, :2]  # (h1, k1) <= (h2, k2)\n            condition4 = hkls[:, 1, :2] <= 0             # (h2, k2) <= 0\n            mask2 = np.all(condition3 & condition4, axis=1)\n            mask3 = hkls[:, 0, 2] >= hkls[:, 1, 2] # l1 >= l2\n            mask = (mask1 | mask2) & mask3#; print(mask.sum(), mask1.sum(), mask2.sum(), mask3.sum())\n            hkls = hkls[~mask]\n            #print(\"Reducing order\", len(hkls), \"hkl guesses for space group\", self.number)\n\n            B = np.zeros([len(hkls), 2, 2])\n            B[:,:,0] = 4/3 * (hkls[:,:,0] ** 2 + hkls[:,:,0] * hkls[:,:,1] + hkls[:,:,1] ** 2)\n            B[:,:,1] = hkls[:,:,2] ** 2\n            hkls = hkls[np.linalg.det(B) != 0]\n            #print(\"Reducing colinear\", len(hkls), \"hkl guesses for space group\", self.number)\n\n        elif 74 < self.number < 143:\n            # must follow the ordering constraints\n            mask1 = np.all(hkls[:,0,:] >= hkls[:,1,:], axis=1) # (h1, k1, l1) >= (h2, k2, l2)\n            hkls = hkls[~mask1]\n            #print(\"Reducing order\", len(hkls), \"hkl guesses for space group\", self.number)\n\n            # must be non-coplanar\n            B = np.zeros([len(hkls), 2, 2])\n            B[:,:,0] = hkls[:,:,0] ** 2 + hkls[:,:,1] ** 2\n            B[:,:,1] = hkls[:,:,2] ** 2\n            hkls = hkls[np.linalg.det(B) != 0]\n            # print(\"Reducing colinear\", len(hkls), \"hkl guesses for space group\", self.number)\n\n        elif 15 < self.number < 75:\n            # must follow the ordering constraints\n            mask1 = np.all(hkls[:,0,:] >= hkls[:,1,:], axis=1) # (h1, k1, l1) >= (h2, k2, l2)\n            mask2 = np.all(hkls[:,1,:] >= hkls[:,2,:], axis=1) # (h2, k2, l2) >= (h3, k3, l3)\n            mask3 = np.all(hkls[:,0,:] >= hkls[:,2,:], axis=1) # (h1, k1, l1) >= (h3, k3, l3)\n            mask = mask1 | mask2 | mask3\n            hkls = hkls[~mask]\n\n            B = np.zeros([len(hkls), 3, 3])\n            B[:,:,0] = hkls[:,:,0] ** 2\n            B[:,:,1] = hkls[:,:,1] ** 2\n            B[:,:,2] = hkls[:,:,2] ** 2\n            hkls = hkls[np.linalg.det(B) != 0]\n            #print(\"Reduced to\", len(hkls), \"guesses after applying ordering constraints.\")\n\n            # remove duplicates based on canonical forms\n            canonical_seen = set()\n            unique_hkls = []\n            for guess in hkls:\n                canonical = get_canonical_hkl_series(guess, self.number)\n                if canonical not in canonical_seen:\n                    canonical_seen.add(canonical)\n                    unique_hkls.append(guess)\n            hkls = unique_hkls\n            #print(\"Reduced to\", len(hkls), \"guesses after removing duplicates.\")\n\n        elif 2 < self.number <= 15:\n            # must follow the ordering constraints if two hkls have the same signs\n            # (h1, k1) >= (h2, k2) >= 0\n            for (i, j) in [(0, 1), (1, 2), (2, 3), (0, 2), (0, 3), (1, 3)]:\n                condition1 = np.all(hkls[:, i, 0::2] >= hkls[:, j, 0::2], axis=1)  # (h1, l1) >= (h2, l2)\n                condition2 = np.all(hkls[:, j, 0::2] >= 0, axis=1)             # (h2, l2) >= 0\n                mask1 = condition1 & condition2\n                condition3 = np.all(hkls[:, i, 0::2] <= hkls[:, j, 0::2], axis=1)  # (h1, l1) <= (h2, l2)\n                condition4 = np.all(hkls[:, j, 0::2] <= 0, axis=1)             # (h2, l2) <= 0\n                mask2 = condition3 & condition4\n                mask3 = hkls[:, i, 1] >= hkls[:, j, 1] # l1 >= l2\n                mask = (mask1 | mask2) & mask3#; print(mask.sum(), mask1.sum(), mask2.sum(), mask3.sum())\n                hkls = hkls[~mask]\n                #print(\"Reduced to\", len(hkls), \"guesses after ordering.\")\n\n            B = np.zeros([len(hkls), 4, 4])\n            B[:,:,0] = hkls[:,:,0] ** 2\n            B[:,:,1] = hkls[:,:,1] ** 2\n            B[:,:,2] = hkls[:,:,2] ** 2\n            B[:,:,3] = hkls[:,:,0] * hkls[:,:,2]\n            hkls = hkls[np.abs(np.linalg.det(B)) > 1e-8]\n            #print(\"Reduced to\", len(hkls), \"guesses after removing duplicates.\")\n\n        return hkls #[tuple(map(tuple, guess)) for guess in hkls]\n\n    def check_hkl_in_list(self, hkl, hkl_list):\n        \"\"\"\n        Check if a given hkl is in the list of hkls considering symmetry.\n\n        Args:\n            hkl (tuple): The hkl tuple to check\n            hkl_list (list): List of hkl tuples to check against\n\n        Returns:\n            bool: True if hkl is in hkl_list, False otherwise\n        \"\"\"\n        return sum(np.sum((hkl_list - hkl)**2, axis=(1,2))==0) > 0\n\n    def is_valid_combination(self, sites):\n        \"\"\"\n        Check if the solutions are valid. A special WP with zero freedom (0,0,0)\n        cannot be occupied twice.\n\n        Args:\n            sites: list, e.g. ['4a', '8b'] or ['a', 'b']\n\n        Returns:\n            True or False\n        \"\"\"\n        # remove the multiplicity:\n        for i, site in enumerate(sites):\n            if len(site) > 1:\n                sites[i] = site[-1]\n\n        for wp in self:\n            letter = wp.letter\n            if sites.count(letter) > 1:\n                freedom = np.trace(wp.ops[0].rotation_matrix) > 0\n                if not freedom:\n                    return False\n        return True\n\n    def list_wyckoff_combinations(self, numIons, quick=False, numWp=(None, None), Nmax=10000000):\n        \"\"\"\n        List all possible wyckoff combinations for the given formula. Note this\n        is really designed for a light weight calculation. If the solution space\n        is big, set quick as True.\n\n        Args:\n            numIons (list): [12, 8]\n            quick (Boolean): quickly generate some solutions\n            numWp (tuple): (min_wp, max_wp)\n            Nmax: maximumly allowed combinations\n\n        Returns:\n            Combinations: list of possible sites\n            has_freedom: list of boolean numbers\n            indices: list of wp indices\n        \"\"\"\n\n        numIons = np.array(numIons)\n        (min_wp, max_wp) = numWp\n        # Must be greater than the number of smallest wp multiplicity\n        if numIons.min() < self[-1].multiplicity or max_wp is not None and sum(numIons) > self[0].multiplicity * max_wp:\n            return [], [], []\n\n        basis = []  # [8, 4, 4]\n        letters = []  # ['c', 'b', 'a']\n        freedoms = []  # [False, False, False]\n        ids = []  # [2, 3, 4]\n        # obtain the basis\n        for i, wp in enumerate(self):\n            mul = wp.multiplicity\n            letter = wp.letter\n            freedom = np.trace(wp.ops[0].rotation_matrix) > 0\n            if mul <= max(numIons):\n                if quick:\n                    if mul in basis and freedom:\n                        pass\n                    # elif mul in basis and basis.count(mul) >= 3:\n                    #    pass\n                    else:\n                        basis.append(mul)\n                        letters.append(letter)\n                        freedoms.append(freedom)\n                else:\n                    basis.append(mul)\n                    letters.append(letter)\n                    freedoms.append(freedom)\n                    ids.append(i)\n\n        basis = np.array(basis)\n\n        # quickly exit\n        if np.min(numIons) < np.min(basis):\n            # print(numIons, basis)\n            return [], []\n        # odd and even\n        elif np.mod(numIons, 2).sum() > 0 and np.mod(basis, 2).sum() == 0:\n            # print(\"odd-even\", numIons, basis)\n            # return None, False\n            return [], [], []\n\n        # print(\"basis\", basis)\n        # print(\"numIons\", numIons)\n        # obtain the maximum numbers for each basis\n        # reset the maximum to 1 if there is no freedom\n        # find the integer solutions\n        # reset solutions according to max_wp\n        max_solutions = np.floor(numIons[:, None] / basis)\n        for i in range(len(freedoms)):\n            if not freedoms[i]:\n                max_solutions[:, i] = 1\n\n        if max_wp is not None:\n            N_max = max_wp - (len(numIons) - 1)\n            max_solutions[max_solutions > N_max] = N_max\n\n        list_solutions = []\n        for i, numIon in enumerate(numIons):\n            lists = []\n            prod = 1\n            for a in max_solutions[i]:\n                if prod <= Nmax:  # 10000000:\n                    d = int(a) + 1\n                    lists.append(list(range(d)))\n                    prod *= d\n                else:\n                    # If the size is too big, we terminate it asap\n                    lists.append([0])\n                    # Terminate the list\n                    # break\n            # print(len(lists), prod)\n\n            sub_solutions = np.array(list(itertools.product(*lists)))\n            N = sub_solutions.dot(basis)\n            sub_solutions = sub_solutions[numIon == N]\n            list_solutions.append(sub_solutions.tolist())\n            # print(i)\n            # print(sub_solutions)#; import sys; sys.exit()\n            if len(sub_solutions) == 0:\n                return [], [], []\n\n        # Gather all solutions and remove very large number solutions\n        solutions = np.array(list(itertools.product(*list_solutions)))\n        dim1 = solutions.shape[0]\n        dim2 = np.prod(solutions.shape[1:])\n        solutions = solutions.reshape([dim1, dim2])\n        if max_wp is not None:\n            solutions_total = solutions.sum(axis=1)\n            solutions = solutions[solutions_total <= max_wp]\n        if min_wp is not None:\n            solutions_total = solutions.sum(axis=1)\n            solutions = solutions[solutions_total >= min_wp]\n\n        # convert the results to list\n        combinations = []\n        has_freedom = []\n        indices = []\n        for solution in solutions:\n            res = solution.reshape([len(numIons), len(basis)])\n            _com = []\n            _free = []\n            _ids = []\n\n            # QZ: check what's going on\n            for i, _ in enumerate(numIons):\n                tmp = []\n                bad_resolution = False\n                frozen = []\n                ids_in = []\n                for j, b in enumerate(basis):\n                    if not freedoms[j] and (res[:, j]).sum() > 1:\n                        bad_resolution = True\n                        break\n\n                    if res[i, j] > 0:\n                        symbols = [str(b) + letters[j]] * res[i, j]\n                        tmp.extend(symbols)\n                        frozen.extend([freedoms[j]])\n                        ids_in.extend([ids[j]] * res[i, j])\n\n                if not bad_resolution:\n                    _com.append(tmp)\n                    _free.extend(frozen)\n                    _ids.append(ids_in)\n\n            if len(_com) == len(numIons):\n                combinations.append(_com)\n                indices.append(_ids)\n                if True in _free:\n                    has_freedom.append(True)\n                else:\n                    has_freedom.append(False)\n\n        return combinations, has_freedom, indices\n\n    def get_spg_symmetry_object(self):\n        \"\"\"\n        Generate the symmetry table for the given space group.\n        It only supports space group now!\n        \"\"\"\n\n        if self.dim == 3:\n            l_type, bravis = self.lattice_type, self.symbol[0]\n            wp = self.get_wyckoff_position(0)\n\n            ops = wp.get_euclidean_ops() if 143 <= self.number <= 194 else wp.ops\n\n            if bravis in [\"A\", \"B\", \"C\", \"I\"]:\n                ops = ops[: int(len(ops) / 2)]\n            elif bravis == \"R\":\n                ops = ops[: int(len(ops) / 3)]\n            elif bravis == \"F\":\n                ops = ops[: int(len(ops) / 4)]\n\n            return site_symmetry(ops, l_type, bravis, self.number, wp_id=0, parse_trans=True)\n        raise ValueError(\"Only supports space group symmetry\")\n\n    def get_wyckoff_position(self, index):\n        \"\"\"\n        Returns a single Wyckoff_position object.\n\n        Args:\n            index: the index of the Wyckoff position within the group.\n\n        Returns: a Wyckoff_position object\n        \"\"\"\n        if isinstance(index, str):\n            # Extract letter from number-letter combinations (\"4d\"->\"d\")\n            for c in index:\n                if c.isalpha():\n                    letter = c\n                    break\n            index = index_from_letter(letter, self.wyckoffs, dim=self.dim)\n        return self.Wyckoff_positions[index]\n\n    def get_wyckoff_position_from_xyz(self, xyz, decimals=4):\n        \"\"\"\n        Returns a single Wyckoff_position object.\n\n        Args:\n            xyz: a trial [x, y, z] coordinate\n\n        Returns: a Wyckoff_position object\n        \"\"\"\n        xyz = np.round(np.array(xyz, dtype=float), decimals=decimals)\n        xyz -= np.floor(xyz)\n\n        for wp in self.Wyckoff_positions:\n            pos = wp.apply_ops(xyz)\n            pos -= np.floor(pos)\n            is_present = np.any(np.all(pos == xyz, axis=1))\n            if is_present and len(pos) == len(np.unique(pos, axis=0)):\n                return wp\n\n        print(\"Cannot find the suitable wp for the given input\")\n        return None\n\n    def get_alternatives(self):\n        \"\"\"\n        Get the alternative settings as a dictionary\n        \"\"\"\n        if self.dim == 3:\n            wyc_sets = loadfn(rf(\"pyxtal\", \"database/wyckoff_sets.json\"))\n            return wyc_sets[str(self.number)]\n        else:\n            msg = \"Only supports the subgroups for space group\"\n            raise NotImplementedError(msg)\n\n    @classmethod\n    def _get_max_k_subgroup(cls, number=None):\n        \"\"\"\n        Returns the maximal k-subgroups as a dictionary\n        \"\"\"\n        if number is None:\n            number = cls.number\n        k_subgroup = SYMDATA.get_k_subgroup()\n        return k_subgroup[str(number)]\n\n    @classmethod\n    def _get_max_t_subgroup(cls, number=None):\n        \"\"\"\n        Returns the maximal t-subgroups as a dictionary\n        \"\"\"\n        if number is None:\n            number = cls.number\n        t_subgroup = SYMDATA.get_t_subgroup()\n        return t_subgroup[str(number)]\n\n    def get_max_k_subgroup(self):\n        return self._get_max_k_subgroup(self.number)\n\n    def get_max_t_subgroup(self):\n        return self._get_max_t_subgroup(self.number)\n\n    def get_max_subgroup(self, H):\n        \"\"\"\n        Returns the dicts for both t and k subgroup according the to\n        trail group H\n\n        Args:\n            H (int): 1-230\n        \"\"\"\n        #if self.point_group == Group(H, quick=True).point_group:\n        if self.point_group == get_point_group(H):\n            g_type = \"k\"\n            dicts = self.get_max_k_subgroup()\n        else:\n            g_type = \"t\"\n            dicts = self.get_max_t_subgroup()\n        return dicts, g_type\n\n    def get_wp_list(self, reverse=False):\n        \"\"\"\n        Get the reversed list of wps\n        \"\"\"\n        # wp_list = [(str(x.multiplicity)+x.letter) for x in self.Wyckoff_positions]\n        wp_list = [(x.get_label()) for x in self.Wyckoff_positions]\n        if reverse:\n            wp_list.reverse()\n        return wp_list\n\n    def get_splitters_from_structure(self, struc, group_type=\"t\"):\n        \"\"\"\n        Get the valid symmetry relations for a structure to its supergroup\n        e.g.,\n\n        Args:\n            - struc: pyxtal structure\n            - group_type: `t` or `k`\n        Returns:\n            list of valid transitions [(id, (['4a'], ['4b'], [['4a'], ['4c']])]\n        \"\"\"\n        if group_type == \"t\" :\n            dicts = self.get_max_t_subgroup()\n        else:\n            dicts = self.get_max_k_subgroup()\n\n        # search for the compatible solutions\n        solutions = []\n        for i, sub in enumerate(dicts[\"subgroup\"]):\n            if sub == struc.group.number:\n                # extract the relation\n                relation = dicts[\"relations\"][i]\n                trans = np.linalg.inv(dicts[\"transformation\"][i][:, :3])\n                if struc.lattice.check_mismatch(trans, self.lattice_type):\n                    results = self.get_splitters_from_relation(struc, relation)\n                    if results is not None:\n                        sols = list(itertools.product(*results))\n                        trials = self.get_valid_solutions(sols)\n                        solutions.append((i, trials))\n        return solutions\n\n    def get_splitters_from_relation(self, struc, relation):\n        \"\"\"\n        Get the valid symmetry relations for a structure to its supergroup\n        e.g.,\n\n        Args:\n            - struc: pyxtal structure\n            - group_type: `t` or `k`\n        Returns:\n            list of valid transitions\n        \"\"\"\n\n        elements, sites = struc._get_elements_and_sites()\n        wp_list = self.get_wp_list(reverse=True)\n\n        good_splittings_list = []\n\n        # search for all valid compatible relations\n        # each element is solved one at a time\n        for site in sites:\n            # ['4a', '4a', '2b'] -> ['4a', '2b']\n            _site = np.unique(site)\n            _site_counts = [site.count(x) for x in _site]\n            wp_indices = []\n\n            # the sum of all positions should be fixed.\n            total_units = 0\n            for j, x in enumerate(_site):\n                total_units += int(x[:-1]) * _site_counts[j]\n\n            # collect all possible supergroup transitions\n            for j, split in enumerate(relation):\n                if np.all([x in site for x in split]):\n                    wp_indices.append(j)\n\n            wps = [wp_list[x] for x in wp_indices]\n            blocks = [np.array([relation[j].count(s) for s in _site])\n                      for j in wp_indices]\n            block_units = [sum([int(x[:-1]) * block[j]\n                               for j, x in enumerate(_site)]) for block in blocks]\n\n            # below is a brute force search for the valid combinations\n            combo_storage = [np.zeros(len(block_units))]\n            good_list = []\n            while len(combo_storage) > 0:\n                holder = []\n                for x in combo_storage:\n                    for k in range(len(block_units)):\n                        # trial solution\n                        trial = np.array(deepcopy(x), dtype=int)\n                        trial[k] += 1\n                        if trial.tolist() in holder:\n                            continue\n                        sum_units = np.dot(trial, block_units)\n                        if sum_units > total_units:\n                            continue\n\n                        if sum_units < total_units:\n                            holder.append(trial.tolist())\n                        else:\n                            tester = np.zeros(len(_site_counts))\n                            for l, z in enumerate(trial):\n                                tester += z * blocks[l]\n                            if np.all(tester == _site_counts):\n                                G_sites = [wp for wp, num in zip(\n                                    wps, trial) for _ in range(max(num, 1)) if num > 0]\n                                if G_sites not in good_list:\n                                    good_list.append(G_sites)\n                combo_storage = holder\n\n            if len(good_list) == 0:\n                return None\n            else:\n                good_splittings_list.append(good_list)\n        return good_splittings_list\n\n    def get_min_supergroup(self, group_type=\"t\", G=None):\n        \"\"\"\n        Returns the minimal supergroups as a dictionary\n        \"\"\"\n        if self.dim == 3:\n            dicts = {\n                \"supergroup\": [],\n                \"transformation\": [],\n                \"relations\": [],\n                \"idx\": [],\n            }\n            sgs = range(1, 231) if G is None else G\n\n            for sg in sgs:\n                subgroups = None\n                if group_type == \"t\":\n                    if sg > self.number:\n                        subgroups = Group._get_max_t_subgroup(sg)\n                else:\n                    #g1 = Group(sg)\n                    if self.point_group == get_point_group(sg):\n                        subgroups = Group._get_max_k_subgroup(sg)\n                if subgroups is not None:\n                    for i, sub in enumerate(subgroups[\"subgroup\"]):\n                        if sub == self.number:\n                            trans = subgroups[\"transformation\"][i]\n                            relation = subgroups[\"relations\"][i]\n                            dicts[\"supergroup\"].append(sg)\n                            dicts[\"transformation\"].append(trans)\n                            dicts[\"relations\"].append(relation)\n                            dicts[\"idx\"].append(i)\n            return dicts\n        else:\n            msg = \"Only supports the supergroups for space group\"\n            raise NotImplementedError(msg)\n\n    @classmethod\n    def _get_max_subgroup_numbers(cls, number, max_cell=9):\n        \"\"\"\n        Returns the minimal supergroups as a dictionary\n        \"\"\"\n        groups = []\n        sub_k = Group._get_max_k_subgroup(number)\n        sub_t = Group._get_max_t_subgroup(number)\n        k = sub_k[\"subgroup\"]\n        t = sub_t[\"subgroup\"]\n        for i, n in enumerate(t):\n            if np.linalg.det(sub_t[\"transformation\"][i][:3, :3]) <= max_cell:\n                groups.append(n)\n        for i, n in enumerate(k):\n            if np.linalg.det(sub_k[\"transformation\"][i][:3, :3]) <= max_cell:\n                groups.append(n)\n        return groups\n\n    def get_max_subgroup_numbers(self, max_cell=9):\n        \"\"\"\n        Returns the minimal supergroups as a dictionary\n        \"\"\"\n        groups = []\n        if self.dim == 3:\n            sub_k = self.get_max_k_subgroup()\n            sub_t = self.get_max_t_subgroup()\n            k = sub_k[\"subgroup\"]\n            t = sub_t[\"subgroup\"]\n            for i, n in enumerate(t):\n                if np.linalg.det(sub_t[\"transformation\"][i][:3, :3]) <= max_cell:\n                    groups.append(n)\n            for i, n in enumerate(k):\n                if np.linalg.det(sub_k[\"transformation\"][i][:3, :3]) <= max_cell:\n                    groups.append(n)\n            return groups\n        else:\n            msg = \"Only supports the subgroups for space group\"\n            raise NotImplementedError(msg)\n\n    def check_compatible(self, numIons, verbose=False):\n        \"\"\"\n        Checks if the number of atoms is compatible with the Wyckoff\n        positions. Considers the number of degrees of freedom for each Wyckoff\n        position, and makes sure at least one valid combination of WP's exists.\n\n        Args:\n            numIons: list of integers\n            verbose: bool, whether to print the process\n\n        Returns:\n            Compatible: True/False\n            has_freedom: True/False\n        \"\"\"\n        from pyxtal.util import get_wyc_from_comp\n        base, upper_bounds = self._get_base_and_upper_bounds()\n\n        if verbose:\n            print(\"\\nInput Composition: \", numIons)\n            strs = f\"Space Group {self.number:5d}: \"\n            for wp in self:\n                strs += f\" {wp.multiplicity}{wp.letter}\"\n                if wp.get_dof() == 0: strs += \"*\"\n            print(strs)\n            print(\"Base WP Choices:   \", base)\n            print(\"Upper Bounds:      \", upper_bounds)\n\n        sols = get_wyc_from_comp(numIons, base, upper_bounds, verbose=verbose, max_wyc=1)\n        if len(sols) > 0:\n            return True, sols[0][1]  # Return the first solution's freedom status\n        else:\n            if verbose: print(f\"No valid Wyckoff positions for {numIons} in {self.symbol}.\")\n            return False, False\n\n\n    def _get_base_and_upper_bounds(self):\n        \"\"\"\n        Get the base and upper bounds for the Wyckoff positions.\n        The base is a list of unique multiplicities, and the upper bounds are\n        the maximum number of times each multiplicity can be occupied.\n        If a Wyckoff position has zero degrees of freedom, it can only be occupied once.\n\n        For example, space group 221 has Wyckoff positions:\n        48n, 24m, 24l, 24k, 12j, 12i, 12h, 8g, 6f, 6e, 3d, 3c, 1b, 1a.\n        The base is [48, 24, 12, 8, 6, 3, 1].\n        The upper bounds are [None, None, None, None, None, 2, 2].\n        \"\"\"\n        base, upper_bounds = [], []\n        for wp in self:\n            if wp.multiplicity not in base:\n                base.append(wp.multiplicity)\n                if wp.get_dof() > 0:\n                    upper_bounds.append(None)\n                else:\n                    upper_bounds.append(1)\n            else:\n                idx = base.index(wp.multiplicity)\n                if upper_bounds[idx] is not None:\n                    if wp.get_dof() > 0:\n                        upper_bounds[idx] = None\n                    else:\n                        upper_bounds[idx] += 1\n        return base, upper_bounds\n\n\n    def search_supergroup_paths(self, H, max_layer=5):\n        \"\"\"\n        Search paths to transit to super group H. if\n        - path1 is a>>e\n        - path2 is a>>b>>c>>e\n        path 2 will not be counted since path 1 exists\n\n        Args:\n            H: final supergroup number\n            max_layer: the number of supergroup calculations needed.\n\n        Returns:\n            list of possible paths ordered from G to H\n        \"\"\"\n\n        layers = {}\n        layers[0] = {\n            \"groups\": [H],\n            \"subgroups\": [],\n        }\n        final = []\n        traversed = []\n\n        # Searches for every subgroup of the the groups from the previous layer.\n        # stores the possible groups of each layer and their subgroups\n        # in a dictinoary to avoid redundant calculations.\n        for l in range(1, max_layer + 1):\n            previous_layer_groups = layers[l - 1][\"groups\"]\n            groups = []\n            subgroups = []\n            for g in previous_layer_groups:\n                #subgroup_numbers = np.unique(Group(g, quick=True).get_max_subgroup_numbers())\n                subgroup_numbers = np.unique(Group._get_max_subgroup_numbers(g))\n\n                # If a subgroup list has been found with H\n                # trace a path through the dictionary to build the path\n                if self.number in subgroup_numbers:\n                    paths = [[g]]\n                    for j in reversed(range(l - 1)):\n                        holder = []\n                        for path in paths:\n                            tail_number = path[-1]\n                            indices = [\n                                idx for idx, numbers in enumerate(layers[j][\"subgroups\"]) if tail_number in numbers\n                            ]\n                            holder.extend([path + [layers[j][\"groups\"][idx]] for idx in indices])  # noqa: RUF005\n                        paths = deepcopy(holder)\n                    final.extend(paths)\n                    subgroups.append([])\n\n                # Continue to generate next layer if the path to H has not been found.\n                else:\n                    subgroups.append(subgroup_numbers)\n                    groups.extend(\n                        [x for x in subgroup_numbers if x not in groups and x not in traversed])\n\n            traversed.extend(groups)\n            layers[l] = {\"groups\": deepcopy(groups), \"subgroups\": []}\n            layers[l - 1][\"subgroups\"] = deepcopy(subgroups)\n        return final\n\n    def path_to_subgroup(self, H):\n        \"\"\"\n        For a given a path, extract the\n            a list of (g_types, subgroup_id, spg_number, wp_list (optional))\n        \"\"\"\n        path_list = []\n        paths = self.search_subgroup_paths(H)\n        if len(paths) > 0:\n            path = paths[0]\n            sg0 = path[0]\n            pg0 = get_point_group(path[0])\n            #pg0 = Group(path[0], quick=True)\n            for p in path[1:]:\n                pg1 = get_point_group(p)\n                if pg0 == pg1:\n                    g_type = \"k\"\n                    spgs = Group._get_max_k_subgroup(sg0)[\"subgroup\"]\n                else:\n                    g_type = \"t\"\n                    spgs = Group._get_max_t_subgroup(sg0)[\"subgroup\"]\n                for spg in spgs:\n                    if spg == p:\n                        break\n                path_list.append((g_type, id, p))\n                pg0 = pg1\n        return path_list\n\n    def search_subgroup_paths(self, G, max_layer=5):\n        \"\"\"\n        Search paths to transit to subgroup H. if\n        - path1 is a>>e\n        - path2 is a>>b>>c>>e\n        path 2 will not be counted since path 1 exists\n\n        Args:\n            G: final subgroup number\n            max_layer: the number of supergroup calculations needed.\n\n        Returns:\n            list of possible paths ordered from H to G\n        \"\"\"\n        tmp = Group(G, quick=True)\n        paths = tmp.search_supergroup_paths(self.number, max_layer=max_layer)\n        for p in paths:\n            p.reverse()\n            p.append(G)\n        return paths\n\n    def add_k_transitions(self, path, n=1):\n        \"\"\"\n        Adds additional k transitions to a subgroup path. ONLY n = 1 is\n        supported for now. It will return viable additions in front of each\n        group in the path.\n\n        Args:\n            path: a single result of search_subgroup_paths function\n            n: number of extra k transitions to add to the given path\n        Returns:\n            a list of maximal subgroup chains with extra k type transitions\n        \"\"\"\n        if n != 1:\n            print(\"only 1 extra k type supported at this time\")\n            return None\n        k_subgroup = SYMDATA.get_k_subgroup()\n        t_subgroup = SYMDATA.get_t_subgroup()\n\n        solutions = []\n        for i in range(len(path[:-1])):\n            g = path[i]\n            h = path[i + 1]\n            options = set(k_subgroup[str(g)][\"subgroup\"] +\n                          t_subgroup[str(g)][\"subgroup\"])\n            # print(g, h, options)\n            for _g in options:\n                ls = k_subgroup[str(_g)][\"subgroup\"] + \\\n                    t_subgroup[str(_g)][\"subgroup\"]\n                if h in ls:\n                    sol = deepcopy(path)\n                    sol.insert(i + 1, _g)\n                    solutions.append(sol)\n        # https://stackoverflow.com/questions/2213923/removing-duplicates-from-a-list-of-lists\n        solutions.sort()\n        return [k for k, _ in itertools.groupby(solutions)]\n\n    def path_to_general_wp(self, index=1, max_steps=1):\n        \"\"\"\n        Find the path to transform the special wp into general site\n\n        Args:\n            index: the index of starting wp\n            max_steps: the number of steps to search\n\n        Return:\n            a list of (g_types, subgroup_id, spg_number, wp_list (optional))\n        \"\"\"\n        k_subgroup = SYMDATA.get_k_subgroup()\n        t_subgroup = SYMDATA.get_t_subgroup()\n\n        label = [self[index].get_label()]\n        potential = [[(None, None, self.number, label)]]\n        solutions = []\n\n        for _step in range(max_steps):\n            _potential = []\n            for p in potential:\n                tail = p[-1]\n                tdict = t_subgroup[str(tail[2])]\n                len_t = len(tdict[\"subgroup\"])\n                kdict = k_subgroup[str(tail[2])]\n                len_k = len(kdict[\"subgroup\"])\n                _indexs = [ord(x[-1]) - 97 for x in tail[3]]\n                next_steps = [\n                    [\n                        (\n                            \"t\",\n                            i,\n                            tdict[\"subgroup\"][i],\n                            functools.reduce(\n                                operator.iadd, [tdict[\"relations\"][i][_index] for _index in _indexs], []),\n                        )\n                    ]\n                    for i in range(len_t)\n                ] + [\n                    [\n                        (\n                            \"k\",\n                            i,\n                            kdict[\"subgroup\"][i],\n                            functools.reduce(\n                                operator.iadd, [kdict[\"relations\"][i][_index] for _index in _indexs], []),\n                        )\n                    ]\n                    for i in range(len_k)\n                    if kdict[\"subgroup\"][i] != tail[2]\n                ]\n                _potential.extend([deepcopy(p) + n for n in next_steps])\n            potential = _potential\n\n            solutions.extend(\n                [\n                    deepcopy(p)[1:]\n                    for p in potential\n                    if (len(set(p[-1][3])) == 1 and p[-1][3][0][-1] == Wyckoff_position.from_group_and_index(p[-1][2], 0).letter)\n                ]\n            )\n            potential = [\n                p for p in potential if not (len(set(p[-1][3])) == 1 and p[-1][3][0][-1] == Wyckoff_position.from_group_and_index(p[-1][2], 0).letter)\n            ]\n\n        return solutions\n\n    def path_to_zp2(self):\n        \"\"\"\n        Find a path to split general wp to zp=2.\n        \"\"\"\n        if self.number in [195, 196, 197, 198, 199]:\n            sub = self.get_max_t_subgroup()\n            #print(self.number, sub['index'])\n            H = [sub['subgroup'][i] for i, id in enumerate(sub['index']) if id == 3]\n            g_type = 't'\n        else:\n            if self.number in [1, 2, 3, 4, 5, 6, 7, 8, 9, 143, 144, 145, 146]:\n                # k_subgroup\n                sub = self.get_max_k_subgroup()\n                g_type = 'k'\n            else:\n                # t_subgroup\n                sub = self.get_max_t_subgroup()\n                g_type = 't'\n            H = [sub['subgroup'][i] for i, id in enumerate(sub['index']) if id == 2]\n        return H, g_type\n\n    def short_path_to_general_wp(self, index=1, t_only=False):\n        \"\"\"u\n        Find a short path to turn the spcical wp to general position\n\n        Args:\n            index: index of the wp\n            t_only: only consider t_spliting\n        \"\"\"\n        for i in range(1, 5):\n            paths = self.path_to_general_wp(index, max_steps=i)\n            if len(paths) > 0:\n                last_gs = np.array([p[-1][2] for p in paths])\n                if t_only:\n                    last_gs[last_gs > len(self[0])] = 0\n                max_id = np.argmax(last_gs)\n                return paths[max_id]\n        return None\n\n    def get_valid_solutions(self, solutions):\n        \"\"\"\n        Check if the solutions are valid.\n        A special WP such as (0,0,0) cannot be occupied twice.\n\n        Args:\n            solutions: list of solutions about the distibution of WP sites\n\n        Returns:\n            the filtered solutions that are vaild\n        \"\"\"\n        valid_solutions = []\n        for solution in solutions:\n            sites = []\n            for s in solution:\n                sites.extend(s)\n            if self.is_valid_combination(sites):\n                valid_solutions.append(solution)\n        return valid_solutions\n\n    def cellsize(self):\n        \"\"\"\n        Returns the number of duplicate atoms in the conventional lattice (in\n        contrast to the primitive cell). Based on the type of cell centering\n        (P, A, C, I, R, or F)\n        \"\"\"\n        if self.dim in [0, 1]:\n            # Rod and point groups\n            return 1\n        elif self.dim == 2:\n            # Layer groups\n            if self.number in [10, 13, 18, 22, 26, 35, 36, 47, 48]:\n                return 2\n            else:\n                return 1\n        else:\n            # space groups\n            if self.symbol[0] == \"P\":\n                return 1  # P\n            elif self.symbol[0] == \"R\":\n                return 3  # R\n            elif self.symbol[0] == \"F\":\n                return 4  # F\n            else:\n                return 2  # A, C, I\n\n    def get_free_axis(self):\n        \"\"\"\n        Get the free axis that can perform continus translation\n        \"\"\"\n        number = self.number\n\n        if number == 1:\n            return [0, 1, 2]\n        elif number == 2:\n            return []\n        elif 3 <= number <= 5:\n            return [1]  # '2'\n        elif 6 <= number <= 9:\n            return [0, 2]  # 'm'\n        elif 10 <= number <= 24:\n            return []  # '2/m', '222'\n        elif 25 <= number <= 46:\n            return [2]  # 'mm2'\n        elif 47 <= number <= 74:\n            return []  # 'mmm'\n        elif 75 <= number <= 80:\n            return [2]  # '4'\n        elif 81 <= number <= 98:\n            return []  # '-4', '4/m', '422'\n        elif 99 <= number <= 110:\n            return [2]  # '4mm'\n        elif 111 <= number <= 142:\n            return []  # '-42m', '4/mmm'\n        elif 143 <= number <= 146:\n            return [2]  # '3'\n        elif 147 <= number <= 155:\n            return []  # '-3', '32'\n        elif 156 <= number <= 161:\n            return [2]  # '3m'\n        elif 162 <= number <= 167:\n            return []  # '-3m'\n        elif 168 <= number <= 173:\n            return [2]  # '6'\n        elif 174 <= number <= 182:\n            return []  # '-6', '6/m', '622'\n        elif 183 <= number <= 186:\n            return [2]  # '6mm'\n        elif 187 <= number <= 194:\n            return []  # '-62m', '6/mmm'\n        elif 195 <= number <= 230:\n            return []  # '23', 'm-3', '432', '-43m', 'm-3m',\n        return None\n\n    @classmethod\n    def list_groups(cls, dim=3):\n        \"\"\"\n        Function for quick print of groups and symbols.\n\n        Args:\n            group: the group symbol or international number\n            dim: the periodic dimension of the group\n        \"\"\"\n        import pandas as pd\n\n        keys = {\n            3: \"space_group\",\n            2: \"layer_group\",\n            1: \"rod_group\",\n            0: \"point_group\",\n        }\n\n        group_symbols = loadfn(rf(\"pyxtal\", \"database/symbols.json\"))\n        data = group_symbols[keys[dim]]\n        index = range(1, len(data) + 1)\n        df = pd.DataFrame(index=index, data=data, columns=[keys[dim]])\n        pd.set_option(\"display.max_rows\", len(df))\n        print(df)\n\n    def get_index_by_letter(self, letter):\n        \"\"\"\n        Get the wp object by the letter.\n        \"\"\"\n        if len(letter) > 1:\n            letter = letter[-1]\n        # print(letter); print(letters.index(letter))\n        return len(self) - letters.index(letter) - 1\n\n    def get_wp_by_letter(self, letter):\n        \"\"\"\n        Get the wp object by the letter.\n        \"\"\"\n        return self[self.get_index_by_letter(letter)]\n\n    def get_symmetry_directions(self):\n        \"\"\"\n        Table 2.1.3.1 from International Tables for Crystallography (2016).\n        Vol. A, Chapter 2.1, pp. 142-174.\n        including Primary, secondary and Tertiary\n        \"\"\"\n        return get_symmetry_directions(self.lattice_type, self.symbol[0])\n\n\n\n# ----------------------- Wyckoff Position class  ------------------------\n\nclass Wyckoff_position:\n    \"\"\"\n    Class for a single Wyckoff position within a symmetry group\n\n    Examples\n    --------\n    >>> from pyxtal.symmetry import Wyckoff_position as wp\n    >>> wp.from_group_and_index(19, 0)\n    Wyckoff position 4a in space group 19 with site symmetry 1\n    x, y, z\n    -x+1/2, -y, z+1/2\n    -x, y+1/2, -z+1/2\n    x+1/2, -y+1/2, -z\n\n    \"\"\"\n\n    @classmethod\n    def from_dict(cls, dictionary):\n        \"\"\"\n        Constructs a Wyckoff_position object using a dictionary.\n        \"\"\"\n        wp = cls()\n        for key in dictionary:\n            setattr(wp, key, dictionary[key])\n        # wp.get_site_symmetry()\n        wp.set_euclidean()\n        # For nonstandard setting only\n        if wp.P1 is not None and not identity_ops(wp.P1):\n            wp.set_generators()\n            wp.set_ops()\n        return wp\n\n    @classmethod\n    def from_group_and_letter(cls, group, letter, dim=3, style=\"pyxtal\", hn=None):\n        \"\"\"\n        Creates a Wyckoff_position using the space group number and index\n\n        Args:\n            group: the international number of the symmetry group\n            letter: e.g. 4a\n            dim: the periodic dimension of the crystal\n            style: 'pyxtal' or spglib, differing in the choice of origin\n            hn: hall_number\n        \"\"\"\n\n        for c in letter:\n            if c.isalpha():\n                letter = c\n                break\n        ops_all = get_wyckoffs(group, dim=dim)\n        index = index_from_letter(letter, ops_all, dim=dim)\n        if hn is not None:\n            wp = cls.from_group_and_index(\n                hn, index, dim, use_hall=True, wyckoffs=ops_all)\n        else:\n            wp = cls.from_group_and_index(\n                group, index, dim, style=style, wyckoffs=ops_all)\n        return wp\n\n    @classmethod\n    def from_group_and_index(cls, group, index, dim=3, use_hall=False, style=\"pyxtal\", wyckoffs=None):\n        \"\"\"\n        Creates a Wyckoff_position using the space group number and index\n\n        Args:\n            group: the international number of the symmetry group\n            index: the index of the Wyckoff position within the group.\n            dim: the periodic dimension of the crystal\n            use_hall (default: False): whether or not use the hall number\n            style (default: `pyxtal`): 'pyxtal' or 'spglib' for hall number\n        \"\"\"\n        number, hall_number, P, P1 = group, None, None, None\n        if not use_hall:\n            symbol, number = get_symbol_and_number(group, dim)\n        else:\n            symbol = HALL_TABLE[\"Symbol\"][group - 1]\n            number = HALL_TABLE[\"Spg_num\"][group - 1]\n        pbc, lattice_type = get_pbc_and_lattice(number, dim)\n\n        if dim == 3:\n            PBC = [1, 1, 1]\n            if not use_hall:\n                if style == \"pyxtal\":\n                    hall_number = pyxtal_hall_numbers[number - 1]\n                else:\n                    hall_number = spglib_hall_numbers[number - 1]\n                    P =  abc2matrix(HALL_TABLE[\"P\"][hall_number - 1])\n                    P1 = abc2matrix(HALL_TABLE[\"P^-1\"][hall_number - 1])\n            else:\n                hall_number = group\n                P =  abc2matrix(HALL_TABLE[\"P\"][hall_number - 1])\n                P1 = abc2matrix(HALL_TABLE[\"P^-1\"][hall_number - 1])\n            directions = get_symmetry_directions(lattice_type, symbol[0])\n\n        elif dim == 2:\n            PBC = [1, 1, 0]\n            directions = None\n        elif dim == 1:\n            PBC = [0, 0, 1]\n            directions = None\n\n        if wyckoffs is None:\n            wyckoffs = get_wyckoffs(number, dim=dim)\n\n        wpdict = {\n            \"index\": index,\n            \"letter\": letter_from_index(index, wyckoffs, dim=dim),\n            \"ops\": wyckoffs[index],\n            \"multiplicity\": len(wyckoffs[index]),\n            \"symmetry\": get_wyckoff_symmetry(number, dim=dim)[index],\n            \"PBC\": PBC,\n            \"dim\": dim,\n            \"number\": number,\n            \"P\": P,\n            \"P1\": P1,\n            \"hall_number\": hall_number,\n            \"symbol\": symbol,\n            \"directions\": directions,\n            \"lattice_type\": lattice_type,\n        }\n\n        return cls.from_dict(wpdict)\n\n    @classmethod\n    def from_symops_wo_group(cls, ops):\n        \"\"\"\n        search Wyckoff Position by symmetry operations\n        Now only supports space group symmetry\n        Assuming general position only\n\n        Args:\n            ops: a list of symmetry operations\n\n        Returns:\n            `Wyckoff_position`\n        \"\"\"\n        _, spg_num = get_symmetry_from_ops(ops)\n        wp = cls.from_group_and_index(spg_num, 0)\n        if isinstance(ops[0], str):\n            ops = [SymmOp.from_xyz_str(op) for op in ops]\n        wp.ops = ops\n        match_spg, match_hm = wp.update()\n        # print(\"match_spg\", match_spg, \"match_hall\", match_hm)\n        return wp\n\n    @classmethod\n    def from_symops(cls, ops, G):\n        \"\"\"\n        search Wyckoff Position by symmetry operations\n\n\n        Args:\n            ops: a list of symmetry operations\n            G: the Group object\n\n        Returns:\n            `Wyckoff_position`\n\n        \"\"\"\n        if isinstance(ops[0], str):\n            ops = [SymmOp.from_xyz_str(op) for op in ops]\n\n        for wp in G:\n            if wp.has_equivalent_ops(ops):\n                return wp\n\n        if isinstance(ops[0], str):\n            print(ops)\n        else:\n            for op in ops:\n                print(op.as_xyz_str())\n        raise RuntimeError(\"Cannot find the right wp\")\n\n    def from_index_quick(self, wyckoffs, index, P=None, P1=None):\n        \"\"\"\n        A short cut to create the WP object from a given index\n        ignore the site symmetry and generators\n        Mainly used for the update function\n\n        Args:\n            wyckoffs: wyckoff position\n            index: index of wp\n            P: transformation matrix (rot + trans)\n        \"\"\"\n\n        if P is None:\n            P = self.P\n            P1 = self.P1\n        wpdict = {\n            \"index\": index,\n            \"letter\": letter_from_index(index, wyckoffs, dim=self.dim),\n            \"ops\": wyckoffs[index],\n            \"multiplicity\": len(wyckoffs[index]),\n            \"PBC\": self.PBC,\n            \"dim\": self.dim,\n            \"number\": self.number,\n            \"P\": P,\n            \"P1\": P1,\n            \"hall_number\": self.hall_number,\n        }\n        return Wyckoff_position.from_dict(wpdict)\n\n    # =============================Fundamentals===========================\n    def __str__(self, supress=False):\n        if self.dim not in [0, 1, 2, 3]:\n            return \"invalid crystal dimension. Must be between 0 and 3.\"\n        if not hasattr(self, \"site_symm\"):\n            self.get_site_symmetry()\n        s = \"Wyckoff position \" + self.get_label() + \" in \"\n        if self.dim == 3:\n            s += \"space \"\n        elif self.dim == 2:\n            s += \"layer \"\n        elif self.dim == 1:\n            s += \"Rod \"\n        elif self.dim == 0:\n            s += \"Point group \" + self.symbol\n        if self.dim != 0:\n            s += \"group \" + str(self.number)\n        s += \" with site symmetry \" + self.site_symm\n\n        if not supress:\n            for op in self.ops:\n                s += \"\\n\" + op.as_xyz_str()\n\n        self.string = s\n        return self.string\n\n    def __repr__(self):\n        return str(self)\n\n    def __iter__(self):\n        yield from self.ops\n\n    def __getitem__(self, index):\n        return self.ops[index]\n\n    def __len__(self):\n        return self.multiplicity\n\n    def copy(self):\n        \"\"\"\n        Simply copy the structure\n        \"\"\"\n        return deepcopy(self)\n\n    def save_dict(self):\n        return {\n            \"group\": self.number,\n            \"index\": self.index,\n            \"dim\": self.dim,\n            # \"transformation\": self.get_transformation(),\n        }\n\n    @classmethod\n    def load_dict(cls, dicts):\n        g = dicts[\"group\"]\n        index = dicts[\"index\"]\n        dim = dicts[\"dim\"]\n        return Wyckoff_position.from_group_and_index(g, index, dim)\n\n    # =============================Updates===========================\n    def set_ops(self):\n        self.ops = self.get_ops_from_transformation()\n\n    def get_ops_from_transformation(self):\n        \"\"\"\n        Get symmetry operation from the generators\n        \"\"\"\n        # Get the position for the 1st site\n        ops1 = []\n        if self.index > 0:\n            if self.P1 is not None and not identity_ops(self.P1):\n                for op in self.ops:\n                    rot_P = self.P[0].T\n                    rot_Q = self.P1[0].T\n                    tran_P = self.P[1]\n                    # R = Q * R * P, suitable when P = {a-c, b, c}\n                    tran = rot_Q.dot(op.translation_vector) - tran_P\n                    rot = rot_Q.dot(op.rotation_matrix).dot(rot_P)\n                    op0 = SymmOp.from_rotation_and_translation(rot, tran)\n                    ops1.append(op0)\n                    # print(op0.as_xyz_str())\n                ops1 = trim_ops(ops1)\n            else:\n                op0 = self.ops[0]\n        else:\n            ops1 = self.generators\n        return ops1\n\n    def update(self):\n        \"\"\"\n        update the spacegroup information if needed\n        \"\"\"\n        match_spg, match_hall = False, False\n        match_spg = self.update_index()\n        if not match_spg:\n            match_hall = self.update_hall()\n\n        if not match_spg and not match_hall:\n            print(\"match_spg\", match_spg, \"match_hall\", match_hall)\n            print(self)\n            print(self.get_hm_symbol())\n            raise RuntimeError(\"Cannot find the right hall_number\")\n        return match_spg, match_hall\n\n    def update_hall(self, hall_numbers=None):\n        \"\"\"\n        update the Hall number when the symmetry operation changes\n\n        Args:\n            hall_numbers: a list of numbers for consideration\n        \"\"\"\n        # print(\"test\", self)\n        if hall_numbers is None:\n            hall_numbers = Hall(self.number).hall_numbers\n\n        candidates = self.process_ops()\n        success = False\n        for hall_number in hall_numbers:\n            P =  abc2matrix(HALL_TABLE[\"P\"][hall_number - 1])\n            P1 = abc2matrix(HALL_TABLE[\"P^-1\"][hall_number - 1])\n            wyckoffs = get_wyckoffs(self.number, dim=self.dim)\n\n            # Fist check the original index\n            wp2 = self.from_index_quick(wyckoffs, self.index, P, P1)\n            for ops in candidates:\n                if wp2.has_equivalent_ops(ops):\n                    success = True\n                    # print(\"same letter\") #; import sys; sys.exit()\n                    break\n\n            # Check other sites\n            if not success:\n                for i in range(len(wyckoffs)):\n                    if i != self.index and len(wyckoffs[i]) == self.multiplicity:\n                        wp2 = self.from_index_quick(wyckoffs, i, P, P1)\n                        for ops in candidates:\n                            if wp2.has_equivalent_ops(ops):\n                                success = True\n                                self.index = i\n                                self.letter = wp2.letter\n                                # print(\"new letter\")\n                                break\n                    if success:\n                        break\n            if success:\n                self.hall_number = hall_number\n                self.P = wp2.P\n                self.P1 = wp2.P1\n                self.ops = wp2.ops\n\n                return True\n        return False\n\n    def update_index(self):\n        \"\"\"\n        Check if needs to update the index due to lattice transformation\n        \"\"\"\n        wyckoffs = get_wyckoffs(self.number, dim=self.dim)\n        wp2 = self.from_index_quick(wyckoffs, self.index)\n        if self.has_equivalent_ops(wp2):\n            return True\n        else:\n            for i in range(len(wyckoffs)):\n                if i != self.index and len(wyckoffs[i]) == self.multiplicity:\n                    wp2 = self.from_index_quick(wyckoffs, i)\n                    if self.has_equivalent_ops(wp2):\n                        self.index = i\n                        self.letter = wp2.letter\n                        # adjust to normal\n                        self.ops = wp2.ops\n                        return True\n        return False\n\n    def transform_from_matrices(self, trans):\n        \"\"\"\n        Args:\n            trans: a list of transformation matrices\n        \"\"\"\n        for tran in trans:\n            self.transform_from_matrix(tran, False)\n\n    def transform_from_matrix(self, trans=None, reset=True, update=False):\n        \"\"\"\n        Transform the symmetry operation according to cell transformation.\n        Mostly needed when optimizing the lattice\n        \"\"\"\n\n        if trans is None:\n            if self.number in [7, 9, 13, 14, 15]:\n                trans = np.array([[1, 0, 0], [0, 1, 0], [1, 0, 1]])\n            elif self.number in [5, 8, 9, 12]:\n                trans = np.array([[1, 0, 1], [0, 1, 0], [1, 0, 1]])\n\n        if 2 < self.number < 16:\n            #ops = Group(self.number)[self.index] if reset else self.ops\n            if reset:\n                ops = Wyckoff_position.from_group_and_index(self.number, self.index)\n            else:\n                ops = self.ops\n\n            for j, op in enumerate(ops):\n                vec = op.translation_vector.dot(trans)\n                vec -= np.floor(vec)\n                op1 = op.from_rotation_and_translation(op.rotation_matrix, vec)\n                self.ops[j] = op1\n\n            if update:\n                self.update_hall()\n\n    def process_ops(self):\n        \"\"\"\n        handle some annoying cases\n        e.g., in I2, ['1/2, y, 1/2', '0, y+1/2, 0'] can be transfered to\n        ['0, y, 0', '1/2, y+1/2, 1/2']\n        \"\"\"\n        opss = [self.ops]\n        if self.number in [5, 12] and self.index > 0:\n            # replace y with y+1/2\n            op2 = SymmOp.from_xyz_str(\"x, y+1/2, z\")\n            ops = [op2 * op for op in self.ops]\n            opss.append(ops)\n\n        if self.number in [13] and self.index > 0:\n            op2 = SymmOp.from_xyz_str(\"x, -y, z\")\n            ops = [op2 * op for op in self.ops]\n            opss.append(ops)\n\n            # for op in ops: print('AAAA', op.as_xyz_str())\n        return opss\n\n    def equivalent_set(self, index):\n        \"\"\"\n        Transform the wp to another equivalent set.\n        Needs to update both wp and positions\n\n        Args:\n            transformation: index\n        \"\"\"\n        if self.index > 0:\n            G = Group(self.number)\n            if len(G[index]) != len(G[self.index]):\n                msg = f\"Spg {self.number:d}, Invalid switch in Wyckoff Pos\\n\"\n                msg += str(self)\n                msg += \"\\n\" + str(G[index])\n                raise ValueError(msg)\n\n            return G[index]\n        return self\n\n    # =============================Get functions===========================\n    def get_site_symm_wo_translation(self):\n        return [SymmOp.from_rotation_and_translation(op.rotation_matrix, [0, 0, 0]) for op in self.symmetry[0]]\n\n    def get_site_symmetry_object(self, idx=0):\n        ops = self.get_site_symm_ops(idx)#; print(self.number, self.index, self.letter)\n        return site_symmetry(ops, self.lattice_type, self.symbol[0], self.number, self.index)\n\n    def get_site_symmetry(self, idx=0):\n        ss = self.get_site_symmetry_object(idx)\n        # ss_string_from_ops(ops, self.number, dim=self.dim)\n        self.site_symm = ss.name\n\n    def get_site_symm_ops(self, idx=0):\n        return self.get_euclidean_symmetries(idx) if self.euclidean else self.symmetry[idx]\n\n    def get_hm_number(self, tol=1e-5):\n        if self.index == 0:\n            return get_symmetry_from_ops(self.ops, tol)[0]\n        else:\n            print(self)\n            raise ValueError(\"input must be general position\")\n\n    def get_hm_symbol(self):\n        \"\"\"\n        Get Hermann-Mauguin symbol\n        \"\"\"\n        return HALL_TABLE[\"Symbol\"][self.hall_number - 1]\n\n    def get_dof(self):\n        \"\"\"\n        Simply return the degree of freedom\n        \"\"\"\n        return np.linalg.matrix_rank(self.ops[0].rotation_matrix)\n\n    def get_label(self):\n        \"\"\"\n        get the string like 4a\n        \"\"\"\n        return str(self.multiplicity) + self.letter\n\n    def get_frozen_axis(self):\n        if self.index == 0:\n            return []\n        elif self.get_dof() == 0:\n            return [0, 1, 2]\n        else:\n            if self.number >= 75:\n                # if self.ops[0].rotation_matrix[2,2] == 1:\n                #    return [0, 1]\n                # else:\n                #    return [0, 1, 2]\n                return [ax for ax in range(3) if self.ops[0].rotation_matrix[ax, ax] == 0]\n            else:\n                if self.get_dof() == 1:\n                    if self.ops[0].rotation_matrix[2, 2] == 1:\n                        return [0, 1]\n                    elif self.ops[0].rotation_matrix[1, 1] == 1:\n                        return [0, 2]\n                    elif self.ops[0].rotation_matrix[0, 0] == 1:\n                        return [1, 2]\n                    return None\n                else:\n                    if self.ops[0].rotation_matrix[2, 2] != 1:\n                        return [2]\n                    elif self.ops[0].rotation_matrix[1, 1] != 1:\n                        return [1]\n                    elif self.ops[0].rotation_matrix[0, 0] != 1:\n                        return [0]\n                    return None\n\n    def get_euclidean_symmetries(self, idx=0):\n        \"\"\"\n        return the symmetry operation object at the Euclidean space\n\n        Returns:\n            list of pymatgen SymmOp object\n        \"\"\"\n        if idx >= len(self.symmetry):\n            raise ValueError(\n                f\"Cannot pick {idx:d} in {len(self.symmetry):d} operations\")\n        ops = []\n        for op in self.symmetry[idx]:\n            hat = SymmOp.from_rotation_and_translation(hex_cell, [0, 0, 0])\n            ops.append(hat * op * hat.inverse)\n        return ops\n\n    def get_euclidean_ops(self):\n        \"\"\"\n        return the symmetry operation object at the Euclidean space\n\n        Returns:\n            list of pymatgen SymmOp object\n        \"\"\"\n        ops = [None] * len(self.ops)\n        for i, op in enumerate(self.ops):\n            hat = SymmOp.from_rotation_and_translation(hex_cell, [0, 0, 0])\n            op_tmp = hat * op * hat.inverse\n            ops[i] = op_tmp.from_rotation_and_translation(\n                op_tmp.rotation_matrix, op.translation_vector)\n            # ops[i].translation_vector = op.translation_vector\n\n        return ops\n\n    def get_euclidean_generator(self, cell, idx=0):\n        \"\"\"\n        return the symmetry operation object at the Euclidean space\n\n        Args:\n            cell: 3*3 cell matrix\n            idx: the index of wp generator\n\n        Returns:\n            pymatgen SymmOp object\n        \"\"\"\n        if not hasattr(self, \"generators\"):\n            self.set_generators()\n\n        op = self.generators[idx]\n        if self.euclidean:\n            hat = SymmOp.from_rotation_and_translation(cell.T, [0, 0, 0])\n            op = hat * op * hat.inverse\n\n        return op\n\n    def get_free_xyzs(self, pos, perturb=False, eps=0.1, random_state: int | None | Generator = None):\n        \"\"\"\n        return the free xyz paramters from the given xyz position\n\n        Args:\n            pos (array): a 3-array to describe x, y, z\n            perturb (bool): whether or not apply perturbation\n            eps (float): the magnitude of perturbations\n\n        Returns:\n            free xyz array\n        \"\"\"\n        if isinstance(random_state, Generator):\n            random_state = random_state.spawn(1)[0]\n        else:\n            random_state = np.random.default_rng(random_state)\n\n        # print(self.apply_ops(pos)[0])\n        res = self.apply_ops(pos)[0]\n        res = np.delete(res, self.get_frozen_axis())\n        if perturb:\n            res += eps * random_state.random(len(res)) - 0.5\n        res -= np.floor(res)\n        return res\n\n    def get_position_from_free_xyzs(self, xyz):\n        \"\"\"\n        generate the full xyz position from the free xyzs\n        \"\"\"\n        pos = np.zeros(3)\n        frozen = self.get_frozen_axis()\n        count = 0\n        for axis in range(3):\n            if axis not in frozen:\n                pos[axis] = xyz[count]\n                count += 1\n        pos = self.apply_ops(pos)[0]\n        pos -= np.floor(pos)\n        return pos\n\n    def get_all_positions(self, pos):\n        \"\"\"\n        return the list of position from any single coordinate from wp.\n        The position does not have to be the 1st number in the wp list\n\n        >>> from pyxtal.symmetry import Group\n        >>> wp2 = Group(62)[-1]\n        >>> wp2\n        Wyckoff position 4a in space group 62 with site symmetry -1\n        0, 0, 0\n        1/2, 0, 1/2\n        0, 1/2, 0\n        1/2, 1/2, 1/2\n        >>> wp2.get_all_positions([1/2, 1/2, 1/2])\n        array([[0. , 0. , 0. ],\n               [0.5, 0. , 0.5],\n               [0. , 0.5, 0. ],\n               [0.5, 0.5, 0.5]])\n        \"\"\"\n\n        pos0 = self.search_generator(pos)\n        if pos0 is not None:\n            res = self.apply_ops(pos0)\n            res -= np.floor(res)\n            return res\n        else:\n            return None\n\n    # =============================Evaluations===========================\n    def is_standard_setting(self):\n        \"\"\"\n        Check if the symmetry operation follows the standard setting\n        \"\"\"\n        G_ops = get_wyckoffs(self.number, dim=self.dim)\n        for i, ops in enumerate(G_ops):\n            if self.has_equivalent_ops(ops):\n                self.ops = ops\n                self.index = i\n                self.letter = letter_from_index(i, G_ops, dim=self.dim)\n                return True\n\n        return False\n\n    def has_equivalent_ops(self, wp2, tol=1e-3):\n        \"\"\"\n        check if two wps are equivalent\n\n        Args:\n            wp2: wp object or list of operations\n        \"\"\"\n        ops0 = wp2 if isinstance(wp2, list) else wp2.ops\n\n        if len(ops0) == len(self.ops):\n            count = 0\n            for _i, op0 in enumerate(ops0):\n                for _j, op1 in enumerate(self.ops):\n                    diff0 = op0.translation_vector - op1.translation_vector\n                    diff0 -= np.rint(diff0)\n                    diff1 = op0.rotation_matrix - op1.rotation_matrix\n                    if max([np.abs(diff0).sum(), np.abs(diff1).sum()]) < tol:\n                        count += 1\n            return count == len(ops0)\n        else:\n            return False\n\n    def is_pure_translation(self, id):\n        \"\"\"\n        Check if the operation is equivalent to pure translation\n        \"\"\"\n        op = self.generators[id]\n        diff = op.rotation_matrix - np.eye(3)\n        if np.sum(diff.flatten() ** 2) < 1e-4:\n            return True\n        else:\n            ops = self.get_site_symm_wo_translation()\n            return op in ops\n\n    def swap_axis(self, swap_id):\n        \"\"\"\n        swap the axis may result in a new wp\n        \"\"\"\n        if self.index > 0:\n            perm_id = None\n            _ops = [self.ops[0]]\n            trans = [np.zeros(3)]\n            if self.symbol[0] == \"F\":\n                trans.append(np.array([0, 0.5, 0.5]))\n                trans.append(np.array([0.5, 0, 0.5]))\n                trans.append(np.array([0.5, 0.5, 0]))\n            elif self.symbol[0] == \"I\":\n                trans.append(np.array([0.5, 0.5, 0.5]))\n            elif self.symbol[0] == \"A\":\n                trans.append(np.array([0, 0.5, 0.5]))\n            elif self.symbol[0] == \"B\":\n                trans.append(np.array([0.5, 0, 0.5]))\n            elif self.symbol[0] == \"C\":\n                trans.append(np.array([0.5, 0.5, 0]))\n\n            op_perm = swap_xyz_ops(_ops, swap_id)[0]\n            for id, ops in enumerate(Group(self.number)):\n                if len(ops) == len(self.ops):\n                    for i, tran in enumerate(trans):\n                        op = op_translation(\n                            op_perm, tran) if i > 0 else op_perm\n                        # print(id, op.as_xyz_str(),tran)\n                        if are_equivalent_ops(op, ops[0]):\n                            perm_id = id\n                            return Group(self.number)[id], tran\n            if perm_id is None:\n                raise ValueError(\"cannot swap\", swap_id, self)\n        return self, np.zeros(3)\n\n    def print_ops(self, ops=None):\n        if ops is None:\n            ops = self.ops\n        for op in ops:\n            print(op.as_xyz_str())\n\n    def gen_pos(self):\n        \"\"\"\n        Returns the general Wyckoff position\n        \"\"\"\n        return self.ops[0]\n\n    def are_equivalent_pts(self, pt1, pt2, cell=None, tol=0.05):\n        \"\"\"\n        Check if two pts are equivalent\n        \"\"\"\n        if cell is None:\n            cell = np.eye(3)\n\n        pt1 = self.search_generator(pt1, tol=tol)\n        pt2 = self.search_generator(pt2, tol=tol)\n        if pt1 is None or pt2 is None:\n            return False\n        else:\n            pt1 = np.array(pt1)\n            pt1 -= np.floor(pt1)\n            pt2 = np.array(pt2)\n            pt2 -= np.floor(pt2)\n            pts = self.apply_ops(pt1)\n            pts -= np.floor(pts)\n            diffs = pt2 - pts\n            diffs -= np.rint(diffs)\n            diffs = np.dot(diffs, cell)\n            dists = np.linalg.norm(diffs, axis=1)\n            # print(dists)\n            return len(dists[dists < tol]) > 0\n\n    def distance_check(self, pt, lattice, tol):\n        \"\"\"\n        Given a list of fractional coordinates, merges them within a given\n        tolerance, and checks if the merged coordinates satisfy a Wyckoff\n        position.\n\n        Args:\n            pt: the originl point (3-vector)\n            lattice: a 3x3 matrix representing the unit cell\n            tol: the cutoff distance for merging coordinates\n\n        Returns:\n            True or False\n        \"\"\"\n        return not len(self.short_distances(pt, lattice, tol)) > 0\n\n    def short_distances(self, pt, lattice, tol):\n        \"\"\"\n        Given a list of fractional coordinates, merges them within a given\n        tolerance, and checks if the merged coordinates satisfy a Wyckoff\n        position.\n\n        Args:\n            pt: the originl point (3-vector)\n            lattice: a 3x3 matrix representing the unit cell\n            tol: the cutoff distance for merging coordinates\n\n        Returns:\n            a list of short distances\n        \"\"\"\n        pt = self.project(pt, lattice, self.PBC)\n        coor = self.apply_ops(pt)\n        # coor -= np.round(coor)\n        coor -= np.floor(coor)\n        dm = distance_matrix([coor[0]], coor, lattice, PBC=self.PBC)[0][1:]\n        # if len(dm[dm<tol]==0): print('+++++', pt, dm.shape, tol, dm[dm<tol], len(dm[dm<tol]))\n        return dm[dm < tol]\n\n    def merge(self, pt, lattice, tol, orientations=None, group=None):\n        \"\"\"\n        Given a list of fractional coordinates, merges them within a given\n        tolerance, and checks if the merged coordinates satisfy a Wyckoff\n        position.\n\n        Args:\n            pt: the originl point (3-vector)\n            lattice: a 3x3 matrix representing the unit cell\n            tol: the cutoff distance for merging coordinates\n            orientations: the valid orientations for a given molecule.\n\n        Returns:\n            pt: 3-vector after merge\n            wp: a Wyckoff_position object, If no match, returns False.\n            valid_ori: the valid orientations after merge\n\n        \"\"\"\n        wp = self.copy()\n        PBC = wp.PBC\n        if group is None:\n            group = Group(wp.number, wp.dim)\n        pt = self.project(pt, lattice, PBC)\n        coor = apply_ops(pt, wp)\n        if orientations is None:\n            valid_ori = None\n        else:\n            j, k = jk_from_i(wp.index, orientations)\n            valid_ori = orientations[j][k]\n\n        # Main loop for merging multiple times\n        while True:\n            # Check distances of current WP. If too small, merge\n            dm = distance_matrix([coor[0]], coor, lattice, PBC=PBC)\n            passed_distance_check = True\n            x = np.argwhere(dm < tol)\n            for y in x:\n                # Ignore distance from atom to itself\n                if y[0] == 0 and y[1] == 0:\n                    pass\n                else:\n                    # print(dm); print(y)\n                    passed_distance_check = False\n                    break\n\n            # for molecular crystal, one more check\n            if not check_images([coor[0]], [6], lattice, PBC=PBC, tol=tol):\n                passed_distance_check = False\n\n            if not passed_distance_check:\n                mult1 = wp.multiplicity\n                # Find possible wp's to merge into\n                possible = []\n                for i, wp0 in enumerate(group):\n                    mult2 = wp0.multiplicity\n                    # Check that a valid orientation exists\n                    if orientations is not None:\n                        res = jk_from_i(i, orientations)\n                        if res is None:\n                            continue\n\n                        j, k = res\n                        if orientations[j][k] == []:\n                            continue\n\n                        valid_ori = orientations[j][k]\n                    # factor = mult2 / mult1\n\n                    if (mult2 < mult1) and (mult1 % mult2 == 0):\n                        possible.append(i)\n                if possible == []:\n                    return None, False, valid_ori\n\n                # Calculate minimum separation for each WP\n                distances = []\n                pts = []\n                for i in possible:\n                    p, d = group[i].search_generator_dist(\n                        pt.copy(), lattice, group)\n                    distances.append(d)\n                    pts.append(p)\n\n                # Choose wp with shortest translation for generating point\n                tmpindex = np.argmin(distances)\n                index = possible[tmpindex]\n                wp = group[index]\n                pt = pts[tmpindex]\n                coor = wp.apply_ops(pt)\n            # Distances were not too small; return True\n            else:\n                return pt, wp, valid_ori\n\n    def set_generators(self):\n        \"\"\"\n        set up generators, useful for many things\n        \"\"\"\n        self.generators = get_generators(self.number, dim=self.dim)[self.index]\n        if self.P is not None and not identity_ops(self.P):\n            # self.print_ops(self.generators)\n            ops = transform_ops(self.generators, self.P, self.P1)\n            self.generators = ops\n            # self.print_ops(ops)\n\n    def set_euclidean(self):\n        \"\"\"\n        For the hexagonal groups, need to consider the euclidean conversion\n        \"\"\"\n        convert = False\n        if self.dim == 3:\n            if 143 <= self.number < 195:\n                convert = True\n        elif self.dim == 2:\n            if self.number >= 65:\n                convert = True\n        elif self.dim == 1 and self.number >= 42:\n            convert = True\n        self.euclidean = convert\n\n    def search_generator_dist(self, pt, lattice=None, group=None):\n        \"\"\"\n        For a given special wp, (e.g., [(x, 0, 1/4), (0, x, 1/4)]),\n        return the first position and distance\n\n        Args:\n            pt: 1*3 vector\n            lattice: 3*3 matrix\n\n        Returns:\n            pt: the best matched pt\n            diff: numerical difference\n        \"\"\"\n        if lattice is None:\n            lattice = np.eye(3)\n\n        if self.index == 0:  # general sites\n            return pt, 0\n\n        if self.get_dof == 0:  # fixed site like [0, 0, 0]\n            pts = self.apply_ops(pt)\n            distances = [distance(p0, lattice, PBC=self.PBC) for p0 in pts]\n        else:  # sites like (x, 0, 0)\n            ops = group[0].ops if group is not None else get_wyckoffs(\n                self.number, dim=self.dim)[0]\n            pts = []\n            distances = []\n            for op in ops:\n                pt0 = op.operate(pt)\n                pt1 = self.ops[0].operate(pt0)\n                coord = pt1 - pt0\n                distances.append(distance(coord, lattice, PBC=self.PBC))\n                pts.append(pt0)\n\n        min_index = np.argmin(distances)\n        return pts[min_index], np.min(distances)\n\n    def search_generator(self, pos, ops=None, tol=1e-2, symmetrize=False):\n        \"\"\"\n        search generator for a special Wyckoff position\n\n        Args:\n            pos: initial xyz position\n            ops: list of symops\n            tol: tolerance\n            symmetrize (bool): apply symmetrization\n\n        Return:\n            pos1: the position that matchs the standard setting\n        \"\"\"\n\n        if ops is None:\n            ops = get_wyckoffs(self.number, dim=self.dim)[0]\n\n        match = False\n        for op in ops:\n            pos1 = op.operate(pos)  #\n            pos0 = self.ops[0].operate(pos1)\n            diff = pos1 - pos0\n            diff -= np.rint(diff)\n            diff = np.abs(diff)\n            # print(self.letter, \"{:24s}\".format(op.as_xyz_str()), pos, pos0, pos1, diff)\n            if diff.sum() < tol:\n                pos1 -= np.floor(pos1)\n                match = True\n                if symmetrize:\n                    pos1 = pos0\n                break\n\n        if match:\n            return pos1\n        else:\n            # print(pos, wp0, wp)\n            return None\n\n    def search_all_generators(self, pos, ops=None, tol=1e-2):\n        \"\"\"\n        search generator for a special Wyckoff position\n\n        Args:\n            pos: initial xyz position\n            ops: list of symops\n            tol: tolerance\n\n        Return:\n            pos1: the position that matchs the standard setting\n        \"\"\"\n        if ops is None:\n            ops = get_wyckoffs(self.number, dim=self.dim)[0]\n\n        coords = []\n        for op in ops:\n            pos1 = op.operate(pos)\n            pos0 = self.ops[0].operate(pos1)\n            diff = pos1 - pos0\n            diff -= np.rint(diff)\n            diff = np.abs(diff)\n            # print(wp.letter, pos1, pos0, diff)\n            if diff.sum() < tol:\n                pos1 -= np.floor(pos1)\n                coords.append(pos1)\n        return coords\n\n    def apply_ops(self, pt):\n        \"\"\"\n        Apply symmetry operation\n        \"\"\"\n        return apply_ops(pt, self.ops)\n\n    def project(self, point, cell=None, PBC=None, id=0):\n        \"\"\"\n        Given a 3-vector and a Wyckoff position operator,\n        returns the projection onto the axis, plane, or point.\n\n        >>> wp.project_point([0,0.3,0.1],\n        array([0. , 0.3, 0.1])\n\n        Args:\n            point: a 3-vector (numeric list, tuple, or array)\n            cell: 3x3 matrix describing the unit cell vectors\n            PBC: A periodic boundary condition list, where 1 means periodic, 0\n                means not periodic. Ex: [1,1,1] -> full 3d periodicity, [0,0,1]\n                -> 1d periodicity along the z axis\n\n        Returns:\n            a transformed 3-vector (numpy array)\n        \"\"\"\n        if cell is None:\n            cell = np.eye(3)\n\n        # Must be different for hexcell\n        if PBC is None:\n            PBC = [1, 1, 1]\n        op = self.get_euclidean_generator(\n            cell, id) if self.euclidean else self.ops[id]\n\n        rot = op.rotation_matrix\n        trans = op.translation_vector\n        point = np.array(point, dtype=float)\n\n        def project_single(point, rot, trans):\n            # move the point in the opposite direction of the translation\n            point -= trans\n            new_vector = np.zeros(3)\n            # Loop over basis vectors of the symmetry element\n            for basis_vector in rot.T:\n                # b = np.linalg.norm(basis_vector)\n                # a faster version?\n                b = np.sqrt(basis_vector.dot(basis_vector))\n                # if not np.isclose(b, 0):\n                if b > 1e-3:\n                    new_vector += basis_vector * \\\n                        (np.dot(point, basis_vector) / (b**2))\n            new_vector += trans\n            return new_vector\n\n        if PBC == [0, 0, 0]:\n            return project_single(point, rot, trans)\n        else:\n            pt = filtered_coords(point)\n            m = create_matrix(PBC=PBC)\n            new_vectors = []\n            distances = []\n            for v in m:\n                new_vector = project_single(pt, rot, trans + v)\n                new_vectors.append(new_vector)\n                tmp = (new_vector - point).dot(cell)\n                distances.append(np.linalg.norm(tmp))\n            i = np.argmin(distances)\n            return filtered_coords(new_vectors[i], PBC=PBC)\n\n    def to_discrete_grid(self, xyz, N_grids=50):\n        \"\"\"\n        A function to convert (x, y, z) to a discrete grid\n        \"\"\"\n        binwidth = 1.0 / N_grids\n        x = int(xyz[0] // binwidth)\n        y = int(xyz[1] // binwidth)\n        z = int(xyz[2] // binwidth)\n        return [x, y, z]\n\n    def from_discrete_grid(self, xyz, N_grids=50):\n        \"\"\"\n        A function to convert from a discrete grid to (x, y, z)\n        \"\"\"\n        binwidth = 1.0 / N_grids\n        x = binwidth * xyz[0]\n        y = binwidth * xyz[1]\n        z = binwidth * xyz[2]\n        return [x, y, z]\n\n# ----------------- Wyckoff Position selection  --------------------------\ndef choose_wyckoff(G, number=None, site=None, dim=3, random_state: int | None | Generator = None):\n    \"\"\"Choose a Wyckoff position based on needed atoms in unit cell.\n\n    Arguments:\n        G: Group object.\n        number: Number of atoms still needed in the unit cell.\n        site: Optional pre-assigned Wyckoff sites (e.g., \"4a\").\n        dim: Dimension of the space group (default 3).\n        random_state: Random number generator or seed for reproducibility.\n\n    Rules:\n        1. Uses pre-assigned list if provided\n        2. New position multiplicity must be <= number of needed atoms\n        3. Prefers positions with higher multiplicity\n\n    Returns:\n        Selected Wyckoff_position object or False if none found.\n    \"\"\"\n    if isinstance(random_state, Generator):\n        random_state = random_state.spawn(1)[0]\n    else:\n        random_state = np.random.default_rng(random_state)\n\n    if site is not None:\n        number = G.number\n        hn = G.hall_number if G.hall_number is not None else None\n        return Wyckoff_position.from_group_and_letter(number, site, dim, hn=hn)\n    else:\n        wyckoffs_organized = G.wyckoffs_organized\n\n        if random_state.random() > 0.5:\n            for wyckoff in wyckoffs_organized:\n                if len(wyckoff[0]) <= number:\n                    # NOTE wyckoff is a ragged list of lists\n                    return wyckoff[random_state.choice(len(wyckoff))]\n            return False\n        else:\n            good_wyckoff = [w for wyckoff in wyckoffs_organized if len(\n                wyckoff[0]) <= number for w in wyckoff]\n\n            if len(good_wyckoff) > 0:\n                # NOTE good_wyckoff is a ragged list of lists\n                return good_wyckoff[random_state.choice(len(good_wyckoff))]\n            else:\n                return False\n\n\ndef choose_wyckoff_mol(\n    G: Group,\n    number: int,\n    site: str | None,\n    orientations: list[list[list]],\n    gen_site: bool = True,\n    dim: int = 3,\n    random_state: int | None | Generator = None,\n) -> Wyckoff_position | bool:\n    \"\"\"\n    Choose a Wyckoff position to fill based on the current number of molecules\n    needed to be placed within a unit cell.\n\n    Rules:\n        - The new position's multiplicity is equal/less than (number).\n        - We prefer positions with large multiplicity.\n        - The site must admit valid orientations for the desired molecule.\n\n    Args:\n        G: A pyxtal.symmetry.Group object.\n        number: The number of molecules still needed in the unit cell.\n        site: The specific Wyckoff site to use (if any).\n        orientations: The valid orientations for a given molecule.\n        gen_site: If True, consider only general Wyckoff positions.\n        dim: Dimension of the space group.\n        random_state: Seed for random number generation.\n\n    Returns:\n        Wyckoff position if found, False otherwise.\n    \"\"\"\n    if isinstance(random_state, Generator):\n        random_state = random_state.spawn(1)[0]\n    else:\n        random_state = np.random.default_rng(random_state)\n\n    if site is not None:\n        return Wyckoff_position.from_group_and_letter(G.number, site, dim, hn=G.hall_number)\n\n    wyckoffs = G.wyckoffs_organized\n\n    if gen_site or np.random.random() > 0.5:  # choose from high to low\n        for j, wyckoff in enumerate(wyckoffs):\n            if len(wyckoff[0]) <= number:\n                good_wyckoffs = []\n                for k, w in enumerate(wyckoff):\n                    if orientations[j][k] != []:\n                        good_wyckoffs.append(w)\n                if len(good_wyckoffs) > 0:\n                    return good_wyckoffs[random_state.choice(len(good_wyckoffs))]\n        return False\n    else:\n        good_wyckoffs = []\n        for j, wyckoff in enumerate(wyckoffs):\n            if len(wyckoff[0]) <= number:\n                for k, w in enumerate(wyckoff):\n                    if orientations[j][k] != []:\n                        good_wyckoffs.append(w)\n        if len(good_wyckoffs) > 0:\n            return good_wyckoffs[random_state.choice(len(good_wyckoffs))]\n        else:\n            return False\n\n\n# -------------------- quick utilities for symmetry conversion ----------------\ndef swap_xyz_string(xyzs, permutation):\n    \"\"\"\n    Permutate the xyz string operation.\n\n    Args:\n        xyzs: e.g. ['x', 'y+1/2', '-z']\n        permuation: list, e.g., [0, 2, 1]\n\n    Returns:\n        The new xyz string after transformation.\n    \"\"\"\n    if permutation == [0, 1, 2]:\n        return xyzs\n    else:\n        new = []\n        for xyz in xyzs:\n            tmp = xyz.replace(\" \", \"\").split(\",\")\n            tmp = [tmp[it] for it in permutation]\n            if permutation == [1, 0, 2]:  # a,b\n                tmp[0] = tmp[0].replace(\"y\", \"x\")\n                tmp[1] = tmp[1].replace(\"x\", \"y\")\n            elif permutation == [2, 1, 0]:  # a,c\n                tmp[0] = tmp[0].replace(\"z\", \"x\")\n                tmp[2] = tmp[2].replace(\"x\", \"z\")\n            elif permutation == [0, 2, 1]:  # b,c\n                tmp[1] = tmp[1].replace(\"z\", \"y\")\n                tmp[2] = tmp[2].replace(\"y\", \"z\")\n            elif permutation == [1, 2, 0]:  # b,c\n                tmp[0] = tmp[0].replace(\"y\", \"x\")\n                tmp[1] = tmp[1].replace(\"z\", \"y\")\n                tmp[2] = tmp[2].replace(\"x\", \"z\")\n            elif permutation == [2, 0, 1]:  # b,c\n                tmp[0] = tmp[0].replace(\"z\", \"x\")\n                tmp[1] = tmp[1].replace(\"x\", \"y\")\n                tmp[2] = tmp[2].replace(\"y\", \"z\")\n            new.append(tmp[0] + \", \" + tmp[1] + \", \" + tmp[2])\n\n        return new\n\ndef swap_xyz_ops(ops, permutation):\n    \"\"\"\n    Change the symmetry operation by swaping the axes.\n\n    Args:\n        ops: SymmOp object\n        permutation: list, e.g. [0, 1, 2]\n\n    Returns:\n        the new xyz string after transformation\n    \"\"\"\n    if permutation == [0, 1, 2]:\n        return ops\n    else:\n        new = []\n        for op in ops:\n            m = op.affine_matrix.copy()\n            m[:3, :] = m[permutation, :]\n            for row in range(3):\n                # [0, y+1/2, 1/2] -> (0, y, 1/2)\n                if np.abs(m[row, :3]).sum() > 0:\n                    m[row, 3] = 0\n            m[:3, :3] = m[:3, permutation]\n            new.append(SymmOp(m))\n        return new\n\ndef op_transform(ops, affine_matrix):\n    \"\"\"\n    Transform a symmetry operation using affine matrix multiplication.\n\n    Example:\n        >>> x, y, z -> x+1/2, y+1/2, z\n        >>> 0, 1/2, z -> 1/2, 0, z\n\n    Args:\n        ops: A SymmOp object representing the symmetry operation to transform\n        affine_matrix: 4x4 affine transformation matrix\n\n    Returns:\n        SymmOp: The transformed symmetry operation\n    \"\"\"\n    matrix2 = affine_matrix.dot(ops.affine_matrix)\n    return SymmOp(matrix2)\n\ndef op_translation(op, tran):\n    \"\"\"\n    Modify a symmetry operation by adding a translation vector.\n\n    Parameters\n    ----------\n    op : SymmOp\n        The input symmetry operation to be modified\n    tran : array_like\n        The translation vector to be added (3D vector)\n\n    Returns\n    -------\n    SymmOp\n        A new symmetry operation with the translation added.\n        Note: If a row in the operation matrix has non-zero rotation/mirror components,\n        the translation component for that row will be set to 0.\n\n    Examples\n    --------\n    >>> op = SymmOp([[1,0,0,0], [0,1,0,0.5], [0,0,1,0.5], [0,0,0,1]])\n    >>> tran = [0, 0.5, 0]\n    >>> new_op = op_translation(op, tran)\n\n    \"\"\"\n    m = op.affine_matrix.copy()\n    m[:3, 3] += tran\n    for row in range(3):\n        # [0, y+1/2, 1/2] -> (0, y, 1/2)\n        if np.abs(m[row, :3]).sum() > 0:\n            m[row, 3] = 0\n    return SymmOp(m)\n\ndef are_equivalent_ops(op1, op2, tol=1e-2):\n    \"\"\"\n    check if two ops are equivalent, assuming the same ordering\n    \"\"\"\n    diff = op1.affine_matrix - op2.affine_matrix\n    diff[:, 3] -= np.rint(diff[:, 3])\n    diff = np.abs(diff.flatten())\n    return np.sum(diff) < tol\n\ndef letter_from_index(index, group, dim=3):\n    \"\"\"\n    Given a Wyckoff position's index within a spacegroup, return its number\n    and letter e.g. '4a'\n\n    Args:\n        index: WP's index (0 is the general position)\n        group: an unorganized Wyckoff position array or Group object (preferred)\n        dim: the periodicity dimension of the symmetry group.\n\n    Returns:\n        the Wyckoff letter corresponding to the Wyckoff position (for example,\n        for position 4a, the function would return 'a')\n    \"\"\"\n    letters1 = letters\n    # See whether the group has an \"o\" Wyckoff position\n    checko = False\n    if type(group) == Group and group.dim == 0 or dim == 0:\n        checko = True\n    if checko is True and len(group[-1]) == 1 and group[-1][0] == SymmOp.from_xyz_str(\"0,0,0\"):\n        # o comes before a\n        letters1 = \"o\" + letters\n    length = len(group)\n    return letters1[length - 1 - index]\n\ndef index_from_letter(letter, group, dim=3):\n    \"\"\"\n    Given the Wyckoff letter, returns the index of a Wyckoff position.\n\n    Args:\n        letter: The wyckoff letter\n        group: an unorganized Wyckoff position array or Group object (preferred)\n        dim: the periodicity dimension of the symmetry group.\n\n    Returns:\n        a single index specifying the location of the Wyckoff position.\n    \"\"\"\n    letters1 = letters\n    # See whether the group has an \"o\" Wyckoff position\n    checko = False\n    if isinstance(group, Group) and group.dim == 0 or dim == 0:\n        checko = True\n    if checko is True and len(group[-1]) == 1 and group[-1][0] == SymmOp.from_xyz_str(\"0,0,0\"):\n        # o comes before a\n        letters1 = \"o\" + letters\n    length = len(group)\n    return length - 1 - letters1.index(letter)\n\n\ndef jk_from_i(i, olist):\n    \"\"\"\n    Given an organized list (Wyckoff positions or orientations), determine the\n    two indices which correspond to a single index for an unorganized list.\n\n    Used mainly for organized Wyckoff position lists, but can be used for other\n    lists organized in a similar way\n\n    Args:\n        i: a single index corresponding to the item's location in the\n            unorganized list\n        olist: the organized list\n\n    Returns:\n        [j, k]: two indices corresponding to the item's location in the\n            organized list\n    \"\"\"\n    num = -1\n    for j, a in enumerate(olist):\n        for k, _b in enumerate(a):\n            num += 1\n            if num == i:\n                return [j, k]\n    return None\n\n\nclass site_symmetry:\n    \"\"\"\n    Derive the site symmetry group from symmetry operations\n    site-symmetry group is indicated by an oriented symbol,\n    which is a variation of the Hermann-Mauguin point-group\n    symbol that provides information about the orientation\n    of the symmetry elements. The constituents of the oriented\n    symbol are ordered according to the symmetry directions of\n    the corresponding crystal lattice (primary, secondary and tertiary)\n\n    Args:\n        ops: a list of SymmOp objects representing the site symmetry\n        lattice_type (str): e.g., 'cubic'\n        Bravis (str): 'P', 'R', 'A', 'B', 'C', 'F', 'I'\n        number (int): space group number\n        parse_trans (bool): do space group or site\n\n    Returns:\n        a string representing the site symmetry (e.g., `2mm`)\n    \"\"\"\n\n    def __init__(self, ops, lattice_type, Bravis, number, wp_id=0, parse_trans=False):\n        hexagonal = lattice_type in [\"hexagonal\", \"trigonal\"]\n        self.parse_trans = parse_trans\n        self.opas = [OperationAnalyzer(\n            op, parse_trans, hexagonal) for op in ops]\n        self.lattice_type = lattice_type\n        self.directions = get_symmetry_directions(lattice_type, Bravis)\n        self.number = number\n        self.wp_id = wp_id\n\n        # No translation: 7 fundamental / 13 compound symmetries\n        # With translation: 18 fundamental / 37 compound symmetries\n        if not parse_trans:\n            self.base_symbols = [\"1\", \"-1\", \"2\", \"m\", \"3\", \"4\", \"-4\"] #, \"-3\", \"6\", \"-6\"]\n            self.num_total_symms = 13\n        else:\n            self.base_symbols = [\"1\", \"-1\", \"2\", \"2_1\", \"m\", \"a\", \"b\", \"c\", \"n\", \"d\",\n                            \"3\", \"3_1\", \"3_2\", \"4\", \"4_1\", \"4_2\", \"4_3\", \"-4\"]\n            self.num_total_symms = 48\n        self.num_base_symms = len(self.base_symbols)\n        self.num_axes = len(all_sym_directions)\n        self.set_table(skip=True)\n\n        if not parse_trans:\n            self.set_full_hm_symbols(self.table)\n            self.set_short_symbols()\n\n    def to_one_hot(self, verbose=False):\n        matrix = self.to_matrix_representation()\n        one_hot_matrix = np.zeros([self.num_axes, self.num_total_symms], dtype=int)\n        for i in range(self.num_axes):\n            #if verbose: print(matrix[i])\n            symbol, id = self.get_highest_symmetry(matrix[i])\n            if verbose: print(i, all_sym_directions[i], matrix[i], symbol)\n            one_hot_matrix[i, id] = 1\n        return one_hot_matrix\n\n    def to_matrix_representation(self, verbose=False):\n        \"\"\"\n        To create a binary matrix to represent the symmetry elements on each axis\n        Translation is also counted here.\n        \"\"\"\n        matrix = np.zeros([self.num_axes, self.num_base_symms], dtype=int)\n        # every direction must has identity symmetry\n        matrix[:, 0] = 1\n        self.inversion = False\n        if verbose:\n            print('Symmetry: 1  -1  2  m  3  4  -4')\n\n        for opa in self.opas:\n            if opa.type == \"inversion\":\n                self.inversion = True\n                #print('add inversion'); import sys; sys.exit()\n\n            elif opa.type != \"identity\":\n                # Find the axis\n                _ax0 = opa.axis / np.linalg.norm(opa.axis)\n                store = False\n                for i, ax in enumerate(all_sym_directions):\n                    # print(opa.axis, ax, np.dot(_ax0, ax0))\n                    ax0 = ax / np.linalg.norm(ax)\n                    if np.isclose(abs(np.dot(_ax0, ax0)), 1):\n                        store = True\n                        break\n\n                # Find the symmetry element\n                if store:\n                    # Pure rotation\n                    #print('trial opa.symbol', opa.symbol, opa.axis, i)\n                    if opa.symbol in self.base_symbols:\n                        matrix[i, self.base_symbols.index(opa.symbol)] = 1\n                        #print('add', opa.symbol)\n                    else:\n                        if opa.symbol == '-3':\n                            # add (-1, 3)\n                            if not self.parse_trans:\n                                matrix[i, 4] = 1 #np.array([1, 1, 0, 0, 1, 0, 0])\n                            else:\n                                matrix[i, 10] = 1\n                        elif opa.symbol == '6':\n                            # add (1, 2, 3)\n                            if not self.parse_trans:\n                                matrix[i, 2], matrix[i, 4] = 1, 1 # = np.array([1, 0, 1, 0, 1, 0, 0])\n                            else:\n                                matrix[i, 2], matrix[i, 10] = 1, 1 # = np.array([1, 0, 1, 0, 1, 0, 0])\n                        elif opa.symbol == '-6':\n                            # add (1, m, 3)\n                            if not self.parse_trans:\n                                matrix[i, 3], matrix[i, 4] = 1, 1\n                            else:\n                                matrix[i, 4], matrix[i, 10] = 1, 1\n                        elif opa.symbol == '6_1':\n                            # add (2_1, 3_1)\n                            matrix[i, 3], matrix[i, 11] = 1, 1\n                        elif opa.symbol == '6_5':\n                            # add (2_1, 3_2)\n                            matrix[i, 3], matrix[i, 12] = 1, 1\n                        elif opa.symbol == '6_2':\n                            # add (2, 3_2)\n                            matrix[i, 2], matrix[i, 12] = 1, 1\n                        elif opa.symbol == '6_4':\n                            # add (2, 3_1)\n                            matrix[i, 2], matrix[i, 11] = 1, 1\n                        elif opa.symbol == '6_3':\n                            # add (2_1, 3)\n                            matrix[i, 3], matrix[i, 10] = 1, 1\n                        else:\n                            print('bug in symbol', len(opa.symbol), type(opa.symbol), opa.symbol); import sys; sys.exit()\n                        #print(matrix[i])\n                    #else:\n                    #    print(\"To debug\", opa.symbol, opa)\n                    #    import sys; sys.exit()\n                else:\n                    raise ValueError(\"Cannot parse the axis\",\n                                     opa.axis, all_sym_directions)\n\n            if self.inversion:\n                matrix[:, 1] = 1  # if inversion is present\n        #print('matrix 0', matrix)\n        return self.correct_matrix(matrix)\n\n    def set_table(self, skip=False):\n        \"\"\"\n        Get the complete table representation.\n\n        Args:\n            skip (bool): whether or not skip 1 or -1 symmetry\n\n        Returns:\n            sorted table with (list of symmetry elements, symbols, order)\n        \"\"\"\n        # Complete list of symmetry for one given axis\n        if self.lattice_type == \"triclinic\": skip = False\n        matrix = self.to_matrix_representation()\n\n        tables = []\n        for i, axis in enumerate(all_sym_directions):\n            direction_id = find_axis_order(axis, self.directions)\n            if direction_id is not None:\n                num_symms = matrix[i, 1:].sum() if skip else matrix[i].sum()\n                if num_symms > 0:\n                    strs = \"{:4d} ({:2d} {:2d} {:2d}): \".format(direction_id, *axis)\n                    for sym in matrix[i]: strs += f\"{sym:4d} \"\n                    # strs += \"{:4d}{:4d}{:4d}{:4d}{:4d}{:4d}{:4d}{:4d}{:4d}{:4d}\".format(*matrix[i])\n                    if not self.parse_trans:\n                        symbol, _ = self.get_highest_symmetry(matrix[i])\n                        strs += f\"{symbol:>6s}\"\n                        tables.append((strs, symbol, direction_id))\n                    else:\n                        tables.append((strs, direction_id))\n        self.table = sorted(tables, key=lambda x: x[-1])\n\n    def set_full_hm_symbols(self, tables):\n        \"\"\"\n        Set the full hm symbols for each axis\n\n        Args:\n            tables: sorted table with (list of symmetry elements, symbols, order)\n\n        Returns:\n            a list of symmetry elements on {primary, secondary, tertiery} directions\n        \"\"\"\n        hm_symbols = [[] for _ in range(len(self.directions))]\n        # for row in tables: print(row)\n        for row in tables:\n            (_, symbol, direction_id) = row\n            if symbol not in [\"1\", \"-1\"]:\n                hm_symbols[direction_id].append(symbol)\n            # print(hm_symbols, direction_id)\n\n        for i, hm_symbol in enumerate(hm_symbols):\n            if len(hm_symbol) == 0:\n                hm_symbols[i] = [\".\"]\n            # elif hm_symbol == ['1']:\n            #    hm_symbols[i] = ['.']\n        self.hm_symbols = hm_symbols\n\n    def unique_symmetry(self, symbols, symmetry):\n        return all(symbol in [\".\", symmetry] for symbol in symbols)\n\n    def ref_symmetry(self, symbols, reference):\n        return any(symbol in reference for symbol in symbols)\n\n    def set_short_symbols(self):\n        \"\"\"\n        Set short symbols from the Full symbols\n        \"\"\"\n        # if hasattr(self, 'hm_symbols'):\n        #    self.set_full_hm_symbols()\n\n        self.symbols = []\n        # print(self.hm_symbols)\n        for hm_symbol in self.hm_symbols:\n            if len(hm_symbol) == 1:\n                # print('single', hm_symbol)\n                self.symbols.append(hm_symbol[0])\n            else:\n                symbol = \"\"\n                for hm in hm_symbol:\n                    symbol += hm\n                self.symbols.append(symbol)\n                # print('multi', hm_symbol)\n\n        # Some simplifications\n        if self.lattice_type == \"orthorhombic\":\n            if self.symbols == [\"2/m\", \"2/m\", \"2/m\"]:\n                self.symbols = [\"m\", \"m\", \"m\"]\n\n        elif self.lattice_type == \"tetragonal\":\n            for i, symbol in enumerate(self.symbols):\n                if symbol == \"2/m2/m\":\n                    self.symbols[i] = \"mm\"\n                elif symbol == \"2/m\":\n                    if not self.unique_symmetry(self.symbols, \"2/m\"):\n                        self.symbols[i] = \"m\"\n                elif symbol == \"m2\":\n                    self.symbols[i] = \"2m\"\n            if self.symbols == [\"4\", \"22\", \"22\"]:\n                self.symbols = [\"4\", \"2\", \"2\"]\n            elif self.symbols == [\"4\", \"mm\", \"mm\"]:\n                self.symbols = [\"4\", \"m\", \"m\"]\n            elif self.symbols == [\"-4\", \"22\", \"mm\"]:\n                self.symbols = [\"-4\", \"2\", \"m\"]\n            elif self.symbols == [\"-4\", \"mm\", \"22\"]:\n                self.symbols = [\"-4\", \"m\", \"2\"]\n            elif self.symbols == [\"2/m\", \"2/m\", \"2/m\"]:\n                self.symbols = [\"m\", \"m\", \"m\"]\n            elif self.symbols == [\"4/m\", \"mm\", \"mm\"]:\n                self.symbols = [\"4/m\", \"m\", \"m\"]\n\n        elif self.lattice_type in [\"trigonal\", \"hexagonal\"]:\n            for i, symbol in enumerate(self.symbols):\n                if symbol in [\"2/m2/m\", \"2/m2/m2/m\", \"mm\", \"mmm\"]:\n                    if not self.unique_symmetry(self.symbols, symbol):\n                        self.symbols[i] = \"m\"\n                elif symbol in [\"22\", \"222\"] and not self.unique_symmetry(self.symbols, symbol):\n                    self.symbols[i] = \"2\"\n            if self.symbols == [\"2/m\", \"2/m\", \"2/m\"]:\n                self.symbols = [\"m\", \"m\", \"m\"]\n            if self.symbols == [\"6/m\", \"m\", \"2/m\"]:\n                self.symbols = [\"6/m\", \"m\", \"m\"]\n            if self.symbols == [\"-6\", \"m2m\", \"2\"]:\n                self.symbols = [\"-6\", \"m\", \"2\"]\n            if self.symbols == [\"m\", \"m2\", \".\"]:\n                self.symbols = [\"m\", \"m\", \"2\"]\n            if self.symbols == [\"m\", \"2m\", \".\"]:\n                self.symbols = [\"m\", \"2\", \"m\"]\n            if self.symbols == [\"2\", \"m\", \".\"]:\n                self.symbols = [\"2\", \"m\", \"m\"]\n            if self.symbols == [\"2/m\", \"m\", \".\"]:\n                self.symbols = [\"m\", \"m\", \"m\"]\n            # https://github.com/MaterSim/PyXtal/issues/309\n            if self.symbols == ['3', 'm', 'm']:  # 3mm => 3.m\n                self.symbols = ['3',  '.', 'm']\n            if self.symbols == ['3', '2', '2']:  # 322 => 3.2\n                self.symbols = ['3',  '.', '2']\n            if self.symbols == ['2', '2', '.']:  # 22. => 222\n                self.symbols = ['2',  '2', '2']\n            if self.symbols == ['-6', 'mm2', 'm']: # -6mm2m => -6m2\n                self.symbols = ['-6', '2', 'm']\n            if self.symbols == ['-6', 'm2', 'm2']: # -6mm2m => -6m2\n                self.symbols = ['-6', 'm', '2']\n            if self.symbols == ['-3', 'm', '2/m']:\n                self.symbols = ['-3', '.', 'm']\n            if self.number == 193:\n                #193 12k        .m.        [['.'], ['m'], ['.']]\n                #193 12j        m..        [['m'], ['.'], ['.']]\n                #193 12i        .2.        [['.'], ['2'], ['.']]\n                #193 8h         3..        [['3'], ['.'], ['.']]\n                #193 6g         m2m        [['m'], ['2', 'm'], ['.']]\n                #193 6f         .2/m.      [['.'], ['2/m'], ['.']]\n                #193 4e         3mm        [['3'], ['m', 'm'], ['m']]\n                #193 4d         322        [['3'], ['2', '2'], ['2']]\n                #193 4c         -6..       [['-6'], ['.'], ['.']]\n                #193 2b         -3m2/m     [['-3'], ['2/m', '2/m'], ['2/m']]\n                #193 2a         -6mm2m     [['-6'], ['m', 'm', '2'], ['m']]\n                if self.symbols == ['.', 'm', '.']:\n                    self.symbols = ['.', '.', 'm']\n                elif self.symbols == ['.', '2', '.']:\n                    self.symbols = ['.',  '.', '2']\n                elif self.symbols == ['.', '2/m', '.']:\n                    self.symbols = ['.',  '.', '2/m']\n            if (self.number, self.wp_id) in [(157, 1), (162, 1), (162, 5),\n                                             (162, 6), (178, 1), (179, 1),\n                                             (180, 1), (180, 2), (181, 1),\n                                             (181, 2), (182, 1), (183, 2),\n                                             (185, 1), (189, 3), (191, 4),\n                                             (192, 2)]:\n                self.symbols = [self.symbols[i] for i in [0, 2, 1]]\n\n        elif self.lattice_type == \"cubic\":\n            for i, symbol in enumerate(self.symbols):\n                if symbol in [\"2/m2/m2/m\"]:\n                    if not self.unique_symmetry(self.symbols, symbol):\n                        self.symbols[i] = \"m\"\n                    else:\n                        self.symbols[i] = \"mmm\"\n                elif symbol == \"mmm\":\n                    if not self.unique_symmetry(self.symbols, symbol):\n                        self.symbols[i] = \"m\"\n                elif symbol == \"222\":\n                    # print(symbol, self.unique_symmetry(self.symbols, symbol))\n                    if not self.unique_symmetry(self.symbols, symbol):\n                        self.symbols[i] = \"2\"\n                elif symbol in [\"2222\", \"222222\"]:\n                    self.symbols[i] = \"2\"\n                elif symbol in [\"333\", \"3333\"]:\n                    self.symbols[i] = \"3\"\n                elif symbol in [\"-3-3-3-3\"]:\n                    self.symbols[i] = \"-3\"\n                elif symbol == \"444\":\n                    self.symbols[i] = \"4\"\n                elif symbol == \"-4-4-4\":\n                    self.symbols[i] = \"-4\"\n                elif symbol == \"422\":\n                    self.symbols[i] = \"42\"\n                elif symbol == \"-422\":\n                    self.symbols[i] = \"-42\"\n                elif symbol == \"2mm\":\n                    self.symbols[i] = \"mm2\"\n                elif symbol in [\"mmmm\", \"mmmmmm\"]:\n                    self.symbols[i] = \"m\"\n                elif symbol in [\"2m\"]:\n                    self.symbols[i] = \"m2\"\n                elif symbol in [\"4mm\"]:\n                    self.symbols[i] = \"4m\"\n                elif symbol in [\"-4mm\"]:\n                    self.symbols[i] = \"-4m\"\n                elif symbol == \"4/m2/m2/m\":\n                    self.symbols[i] = \"4/mm\"\n                elif symbol in [\"4/m4/m4/m\", \"2/m2/m2/m2/m2/m2/m\"]:\n                    self.symbols[i] = \"m\"\n                elif symbol == \"2/m2/m\":\n                    if self.ref_symmetry(self.symbols, [\"4/mm\"]):\n                        self.symbols[i] = \"m\"\n                    else:\n                        self.symbols[i] = \"mm\"\n                elif symbol == \"2/m\" and not self.unique_symmetry(self.symbols, symbol):\n                    self.symbols[i] = \"m\"\n\n            for i, symbol in enumerate(self.symbols):\n                if symbol == \"mm\" and self.ref_symmetry(self.symbols, [\"-42\", \"4m\"]):\n                    self.symbols[i] = \"m\"\n                if symbol == \"22\" and self.ref_symmetry(self.symbols, [\"42\", \"-4m\"]):\n                    self.symbols[i] = \"2\"\n\n        #    #if self.symbols in [['4', '-3', '2'], ['-4', '-3', 'm']]:\n        #    #    self.symbols = ['m', '-3', 'm']\n        #    #if '222' in self.symbols:\n        #    #    if len(self.opas) > 4:\n        #    #        for i in range(len(self.symbols)):\n        #    #            if self.symbols[i] == '222':\n        #    #                self.symbols[i] = '2'#; print('Find ===')\n\n        self.get_name()\n\n    def get_name(self):\n        if self.symbols in [[\".\", \".\", \".\"], [\".\", \".\"], [\".\"]]:\n            if self.inversion:\n                self.name = \"-1\"\n            else:\n                self.name = \"1\"\n        else:\n            self.name = \"\"\n            for symbol in self.symbols:\n                # self.name += ' '\n                for s in symbol:\n                    self.name += s\n\n    def to_beautiful_matrix_representation(self, skip=True):\n        \"\"\"\n        A shortcut to check the representation\n\n        Args:\n            skip (bool): whether or not skip 1 or -1 symmetry\n        \"\"\"\n        strs = \"Order    Axis       \"\n        for symbol in self.symbols: strs += f\"{symbol:<4s} \"\n        print(strs)\n        if not hasattr(self, \"table\"): self.set_table(skip)\n        for row in self.table: print(row[0])\n\n    def get_highest_symmetry(self, row):\n        # Symmetry on 15 direction\n        # With translation: 18*15 => 37*15\n        # Without translation: 7*15 => 13*15\n        #print(\"current\", row)\n        if self.parse_trans:\n            ref_arrays = [\n                          #1 -1  2 21  m  a  b  c  n  d  3 31 32  4 41 42 43 -4\n                          #1  1  1  0  0  0  0  0  1  0 0 0 0 0 0 0 0 0]\n                (np.array([1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], dtype=int), \"1\"),    # 1\n                (np.array([1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], dtype=int), \"-1\"),   # 1, -1\n                (np.array([1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], dtype=int), \"2\"),    # 1, 2\n                (np.array([1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], dtype=int), \"2_1\"),  # 1, 2_1\n                (np.array([1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], dtype=int), \"m\"),    # 1, m\n                (np.array([1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], dtype=int), \"a\"),    # 1, a\n                (np.array([1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], dtype=int), \"b\"),    # 1, b\n                (np.array([1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], dtype=int), \"c\"),    # 1, c\n                (np.array([1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0], dtype=int), \"n\"),    # 1, n\n                (np.array([1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0], dtype=int), \"d\"),    # 1, d\n                (np.array([1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0], dtype=int), \"3\"),    # 1, 3\n                (np.array([1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0], dtype=int), \"3_1\"),  # 1, 3_1\n                (np.array([1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0], dtype=int), \"3_2\"),  # 1, 3_2\n                (np.array([1, 1, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], dtype=int), \"2/m\"),  # 1, -1, 2, m\n                (np.array([1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], dtype=int), \"2/a\"),  # 1, -1, 2, m\n                (np.array([1, 1, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], dtype=int), \"2/b\"),  # 1, -1, 2, m\n                (np.array([1, 1, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], dtype=int), \"2/c\"),  # 1, -1, 2, c\n                (np.array([1, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0], dtype=int), \"2/n\"),  # 1, -1, 2, c\n                (np.array([1, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0], dtype=int), \"2/d\"),  # 1, -1, 2, c\n                (np.array([1, 1, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], dtype=int), \"2_1/m\"),# 1, -1, 2_1, m\n                (np.array([1, 1, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], dtype=int), \"2_1/a\"),# 1, -1, 2_1, m\n                (np.array([1, 1, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], dtype=int), \"2_1/b\"),# 1, -1, 2_1, m\n                (np.array([1, 1, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], dtype=int), \"2_1/c\"),# 1, -1, 2_1, c\n                (np.array([1, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0], dtype=int), \"2_1/n\"),# 1, -1, 2_1, m\n                (np.array([1, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0], dtype=int), \"2_1/d\"),# 1, -1, 2_1, m\n                (np.array([1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0], dtype=int), \"4\"),    # 1, 2, 4\n                (np.array([1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0], dtype=int), \"4_1\"),  # 1, 2_1, 4_1\n                (np.array([1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0], dtype=int), \"4_2\"),  # 1, 2, 4_2\n                (np.array([1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0], dtype=int), \"4_3\"),  # 1, 2_1, 4_3\n                (np.array([1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1], dtype=int), \"-4\"),   # 1, 2, -4\n                (np.array([1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0], dtype=int), \"-3\"),   # 1, -1, 3\n                (np.array([1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0], dtype=int), \"6\"),    # 1, 2, 3\n                (np.array([1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0], dtype=int), \"6_1\"),  # 1, 2_1, 3_1\n                (np.array([1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0], dtype=int), \"6_5\"),  # 1, 2_1, 3_2\n                (np.array([1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0], dtype=int), \"6_2\"),  # 1, 2, 3_2\n                (np.array([1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0], dtype=int), \"6_4\"),  # 1, 2, 3_1\n                (np.array([1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0], dtype=int), \"6_3\"),  # 1, 2_1, 3\n                (np.array([1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0], dtype=int), \"-6\"),   # 1, m, 3\n                (np.array([1, 1, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1], dtype=int), \"4/m\"),  # 1, -1, 2, m, 4, -4\n                (np.array([1, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1], dtype=int), \"4/n\"),  # 1, -1, 2, n, 4, -4\n                (np.array([1, 1, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1], dtype=int), \"4_1/a\"),# 1, -1, 2_1, a, 4_1, -4\n                (np.array([1, 1, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1], dtype=int), \"4_1/b\"),# 1, -1, 2_1, b, 4_1, -4\n                (np.array([1, 1, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1], dtype=int), \"4_1/c\"),# 1, -1, 2_1, c, 4_1, -4\n                (np.array([1, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1], dtype=int), \"4_1/d\"),# 1, -1, 2_1, d, 4_1, -4\n                (np.array([1, 1, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1], dtype=int), \"4_2/m\"),# 1, -1, 2, m, 4_2, -4\n                (np.array([1, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1], dtype=int), \"4_2/n\"),# 1, -1, 2, m, 4_2, -4\n                (np.array([1, 1, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0], dtype=int), \"6/m\"),  # 1, -1, 2, m, 3\n                (np.array([1, 1, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0], dtype=int), \"6_3/m\"),# 1, -1, 2_1, m, 3\n            ]\n        else:\n            ref_arrays = [\n                          #1 -1  2  m  3  4 -4\n                (np.array([1, 0, 0, 0, 0, 0, 0], dtype=int), \"1\"),   # 1\n                (np.array([1, 1, 0, 0, 0, 0, 0], dtype=int), \"-1\"),  # 1, -1\n                (np.array([1, 0, 1, 0, 0, 0, 0], dtype=int), \"2\"),   # 1, 2\n                (np.array([1, 0, 0, 1, 0, 0, 0], dtype=int), \"m\"),   # 1, m\n                (np.array([1, 0, 0, 0, 1, 0, 0], dtype=int), \"3\"),   # 1, 3\n                (np.array([1, 0, 1, 0, 0, 1, 0], dtype=int), \"4\"),   # 1, 2, 4\n                (np.array([1, 0, 1, 0, 0, 0, 1], dtype=int), \"-4\"),  # 1, 2, -4\n                (np.array([1, 1, 1, 1, 0, 0, 0], dtype=int), \"2/m\"), # 1, 2, m\n                (np.array([1, 1, 0, 0, 1, 0, 0], dtype=int), \"-3\"),  # 1, -1, 3\n                (np.array([1, 0, 1, 0, 1, 0, 0], dtype=int), \"6\"),   # 1, 2, 3\n                (np.array([1, 0, 0, 1, 1, 0, 0], dtype=int), \"-6\"),  # 1, m, 3\n                (np.array([1, 1, 1, 1, 0, 1, 1], dtype=int), \"4/m\"), # 1, -1, 2, m, 4, -4\n                (np.array([1, 1, 1, 1, 1, 0, 0], dtype=int), \"6/m\"), # 1, -1, 2, m, 3\n            ]\n        for i, ref_array in enumerate(ref_arrays):\n            if np.array_equal(row, ref_array[0]):\n                #if self.parse_trans: print(row, ref_array[1])\n                return ref_array[1], i\n        print(\"problem\", row, type(row))\n        raise ValueError(\"Incompatible symmetry list\")\n        return ref_arrays[0][1], 0\n\n    def correct_matrix(self, matrix):\n        if self.parse_trans:\n            # For hexagonal spg, one sym direction may have both c/m\n            for row in matrix:\n                # I-43d (100) [1, 2_1, -4] => [1, 2, -4]\n                if np.array_equal(row, [1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1]):\n                    row[2], row[3] = 1, 0\n                # P63cm (100) [1, m, c] => [1, c]\n                elif np.array_equal(row, [1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]):\n                    row[4] = 0\n                # P-6m2 (100) [1, 2, m] => [1, m]\n                elif np.array_equal(row, [1, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]):\n                #elif np.array_equal(row[:3], [1, 0, 1]) and sum(row[4:8]) > 0: # 2, m\n                    row[2] = 0\n                # P-6c2 (100) [1, 2, c] => [1, c]\n                elif np.array_equal(row, [1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]):\n                    row[2] = 0\n                # P63/mcm [2/c]\n                elif np.array_equal(row, [1, 1, 1, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]):\n                    row[4] = 0\n                # P-3 (add m)\n                elif np.array_equal(row, [1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0]):\n                    row[4] = 0\n                # P-6\n                elif np.array_equal(row, [1, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0]):\n                    row[4] = 0\n        else:\n            for row in matrix:\n                if np.array_equal(row, [1, 0, 1, 1, 0, 0, 0]):\n                    row[2] = 0\n\n        if self.parse_trans:\n            if self.number == 100:\n                matrix[7] = np.array([1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0])\n                matrix[8] = np.array([1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0])\n            if self.number in [127, 129]:\n                matrix[7] = np.array([1, 1, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0])\n                matrix[8] = np.array([1, 1, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0])\n            elif self.number == 227:  #2/m\n                matrix[8]  = np.array([1, 1, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0])\n                matrix[10] = np.array([1, 1, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0])\n                matrix[12] = np.array([1, 1, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0])\n            elif self.number == 228:  #2/c\n                matrix[8]  = np.array([1, 1, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0])\n                matrix[10] = np.array([1, 1, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0])\n                matrix[12] = np.array([1, 1, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0])\n        return matrix\n\n\n\ndef organized_wyckoffs(group):\n    \"\"\"\n    Takes a Group object or unorganized list of Wyckoff positions and returns\n    a 2D list of Wyckoff positions organized by multiplicity.\n\n    Args:\n        group: a pyxtal.symmetry.Group object\n\n    Returns:\n        a 2D list of Wyckoff_position objects if group is a Group object.\n        a 3D list of SymmOp objects if group is a 2D list of SymmOps\n    \"\"\"\n    wyckoffs = group.Wyckoff_positions if type(group) == Group else group\n    wyckoffs_organized = [[]]  # 2D Array of WP's organized by multiplicity\n    old = len(wyckoffs[0])\n    for wp in wyckoffs:\n        mult = len(wp)\n        if mult != old:\n            wyckoffs_organized.append([])\n            old = mult\n        wyckoffs_organized[-1].append(wp)\n    return wyckoffs_organized\n\n\ndef symmetry_element_from_axis(axis):\n    \"\"\"\n    Given an axis, returns a SymmOp representing a symmetry element on the axis.\n    For example, the symmetry element for the vector (0,0,2) would be (0,0,z).\n\n    Args:\n        axis: a 3-vector representing the symmetry element\n\n    Returns:\n        a SymmOp object of form (ax, bx, cx), (ay, by, cy), or (az, bz, cz)\n    \"\"\"\n    if len(axis) != 3:\n        return None\n    # Vector must be non-zero\n    if axis.dot(axis) < 1e-6:\n        return None\n    v = np.array(axis) / np.linalg.norm(axis)\n    # Find largest component (x, y, or z)\n    abs_vals = [abs(a) for a in v]\n    f1 = max(abs_vals)\n    index1 = list(abs_vals).index(f1)\n    # Initialize an affine matrix\n    m = np.eye(4)\n    m[:3] = [0.0, 0.0, 0.0, 0.0]\n    # Set values for affine matrix\n    m[:3, index1] = v\n    return SymmOp(m)\n\n\ndef get_wyckoffs(num, organized=False, dim=3):\n    \"\"\"\n    Returns a list of Wyckoff positions for a given group. Has option to\n    organize the list based on multiplicity (this is used for\n    random_crystal.wyckoffs)\n\n    For an unorganized list:\n\n        - 1st index: index of WP in sg (0 is the WP with largest multiplicity)\n        - 2nd index: a SymmOp object in the WP\n\n    For an organized list:\n\n        - 1st index: specifies multiplicity (0 is the largest multiplicity)\n        - 2nd index: a WP within the group of equal multiplicity.\n        - 3nd index: a SymmOp object within the Wyckoff position\n\n    You may switch between organized and unorganized lists using the methods\n    i_from_jk and jk_from_i. For example, if a Wyckoff position is the [i]\n    entry in an unorganized list, it will be the [j][k] entry in an organized\n    list.\n\n    Args:\n        num: the international group number\n        dim: dimension [0, 1, 2, 3]\n        organized: whether or not to organize the list based on multiplicity\n\n    Returns:\n        a list of Wyckoff positions, each of which is a list of SymmOp's\n    \"\"\"\n    wyckoffs = [list(wp) for wp in _get_wyckoffs_cached(num, dim)]\n    if organized:\n        wyckoffs_organized = [[]]  # 2D Array of WP's organized by multiplicity\n        old = len(wyckoffs[0])\n        for wp in wyckoffs:\n            mult = len(wp)\n            if mult != old:\n                wyckoffs_organized.append([])\n                old = mult\n            wyckoffs_organized[-1].append(wp)\n        return wyckoffs_organized\n    else:\n        # Return Wyckoff positions without organization\n        return wyckoffs\n\n\n@functools.lru_cache(maxsize=None)\ndef _get_wyckoffs_cached(num, dim):\n    if dim == 3:\n        df = SYMDATA.get_wyckoff_sg()\n    elif dim == 2:\n        df = SYMDATA.get_wyckoff_lg()\n    elif dim == 1:\n        df = SYMDATA.get_wyckoff_rg()\n    elif dim == 0:\n        df = SYMDATA.get_wyckoff_pg()\n    else:\n        raise ValueError(f\"Unsupported dimension: {dim}\")\n\n    wyckoff_strings = literal_eval(df[\"0\"][num])\n    wyckoffs = []\n    for x in wyckoff_strings:\n        wyckoffs.append([])\n        for y in x:\n            wyckoffs[-1].append(SymmOp(y) if dim == 0 else SymmOp.from_xyz_str(y))\n    return tuple(tuple(wp) for wp in wyckoffs)\n\n\ndef get_wyckoff_symmetry(num, dim=3):\n    \"\"\"\n    Returns a list of site symmetry for a given group.\n        - 1st index: index of WP in sg (0 is the WP with largest multiplicity)\n        - 2nd index: a point within the WP\n        - 3rd index: a site symmetry SymmOp of the point\n\n    Args:\n        sg: the international spacegroup number\n        dim: 0, 1, 2, 3\n\n    Returns:\n        a 3d list of SymmOp objects representing the site symmetry of each\n        point in each Wyckoff position\n    \"\"\"\n    return [[list(point) for point in wp] for wp in _get_wyckoff_symmetry_cached(num, dim)]\n\n\n@functools.lru_cache(maxsize=None)\ndef _get_wyckoff_symmetry_cached(num, dim):\n    if dim == 3:\n        symmetry_df = SYMDATA.get_symmetry_sg()\n    elif dim == 2:\n        symmetry_df = SYMDATA.get_symmetry_lg()\n    elif dim == 1:\n        symmetry_df = SYMDATA.get_symmetry_rg()\n    elif dim == 0:\n        symmetry_df = SYMDATA.get_symmetry_pg()\n    else:\n        raise ValueError(f\"Unsupported dimension: {dim}\")\n\n    symmetry_strings = literal_eval(symmetry_df[\"0\"][num])\n    symmetry = []\n    for x in symmetry_strings:\n        symmetry.append([])\n        for y in x:\n            symmetry[-1].append([])\n            for z in y:\n                symmetry[-1][-1].append(SymmOp(z) if dim == 0 else SymmOp.from_xyz_str(z))\n    return tuple(tuple(tuple(point) for point in wp) for wp in symmetry)\n\n\ndef get_generators(num, dim=3):\n    \"\"\"\n    Returns a list of Wyckoff generators for a given group.\n        - 1st index: index of WP in sg (0 is the WP with largest multiplicity)\n        - 2nd index: a generator for the WP\n\n    This function is useful for rotating molecules based on Wyckoff position,\n    since special Wyckoff positions only encode positional information, but not\n    information about the orientation. The generators for each Wyckoff position\n    form a subset of the spacegroup's general Wyckoff position.\n\n    Args:\n        num: the international spacegroup number\n        dim: dimension\n\n    Returns:\n        a 2d list of symmop objects [[wp0], [wp1], ... ]\n    \"\"\"\n\n    return [list(wp) for wp in _get_generators_cached(num, dim)]\n\n\n@functools.lru_cache(maxsize=None)\ndef _get_generators_cached(num, dim):\n    if dim == 3:\n        generators_df = SYMDATA.get_generator_sg()\n    elif dim == 2:\n        generators_df = SYMDATA.get_generator_lg()\n    elif dim == 1:\n        generators_df = SYMDATA.get_generator_rg()\n    elif dim == 0:\n        generators_df = SYMDATA.get_generator_pg()\n    else:\n        raise ValueError(f\"Unsupported dimension: {dim}\")\n\n    generator_strings = literal_eval(generators_df[\"0\"][num])\n    generators = []\n    for x in generator_strings:\n        generators.append([])\n        for y in x:\n            generators[-1].append(SymmOp(y) if dim == 0 else SymmOp.from_xyz_str(y))\n    return tuple(tuple(wp) for wp in generators)\n\n\ndef site_symm(point, gen_pos, tol=1e-3, lattice=None, PBC=None):\n    \"\"\"\n    Given a point and a general Wyckoff position, return the list of symmetry\n    operations leaving the point (coordinate or SymmOp) invariant. The returned\n    SymmOps are a subset of the general position. The site symmetry can be used\n    for determining the Wyckoff position for a set of points, or for\n    determining the valid orientations of a molecule within a given Wyckoff\n    position.\n\n    Args:\n        point: a 1x3 coordinate or SymmOp object to find the symmetry of. If a\n            SymmOp is given, the returned symmetries must also preserve the\n            point's orientaion\n        gen_pos: the general position of the spacegroup. Can be a Wyckoff_position\n            object or list of SymmOp objects.\n        tol:\n            the numberical tolerance for determining equivalent positions and\n            orientations.\n        lattice:\n            a 3x3 matrix representing the lattice vectors of the unit cell\n        PBC: A periodic boundary condition list, 1 means periodic, 0 means not periodic.\n            Ex: [1,1,1] -> full 3d periodicity, [0,0,1] -> periodicity along the z axis.\n            Need not be defined here if gen_pos is a Wyckoff_position object.\n\n    Returns:\n        a list of SymmOp objects which leave the given point invariant\n    \"\"\"\n    if lattice is None:\n        lattice = np.eye(3)\n\n    if PBC is None:\n        PBC = gen_pos.PBC if type(gen_pos) == Wyckoff_position else [1, 1, 1]\n    # Convert point into a SymmOp\n    if type(point) != SymmOp:\n        point = SymmOp.from_rotation_and_translation(\n            [[0, 0, 0], [0, 0, 0], [0, 0, 0]], np.array(point))\n    symmetry = []\n    for op in gen_pos:\n        is_symmetry = True\n        # Calculate the effect of applying op to point\n        difference = SymmOp((op * point).affine_matrix - point.affine_matrix)\n        # Check that the rotation matrix is unaltered by op\n        if not np.allclose(difference.rotation_matrix, np.zeros((3, 3)), rtol=1e-3, atol=1e-3):\n            is_symmetry = False\n        # Check that the displacement is less than tol\n        displacement = difference.translation_vector\n        if distance(displacement, lattice, PBC=PBC) > tol:\n            is_symmetry = False\n        if is_symmetry:\n            \"\"\"\n            The actual site symmetry's translation vector may vary from op by\n            a factor of +1 or -1 (especially when op contains +-1/2).\n            We record this to distinguish between special Wyckoff positions.\n            As an example, consider the point (-x+1/2,-x,x+1/2) in position 16c\n            of space group Ia-3(206). The site symmetry includes the operations\n            (-z+1,x-1/2,-y+1/2) and (y+1/2,-z+1/2,-x+1). These operations are\n            not listed in the general position, but correspond to the operations\n            (-z,x+1/2,-y+1/2) and (y+1/2,-z+1/2,-x), respectively, just shifted\n            by (+1,-1,0) and (0,0,+1), respectively.\n            \"\"\"\n            el = SymmOp.from_rotation_and_translation(\n                op.rotation_matrix, op.translation_vector - np.rint(displacement))\n            symmetry.append(el)\n    return symmetry\n\n\ndef check_wyckoff_position(points, group, tol=1e-3):\n    \"\"\"\n    Given a list of points, returns a single index of a matching Wyckoff\n    position in the space group. Checks the site symmetry of each supplied\n    point against the site symmetry for each point in the Wyckoff position.\n    Also returns a point which can be used to generate the rest using the\n    Wyckoff position operators.\n\n    Args:\n        points: a list of 3d coordinates or SymmOps to check\n        group: a Group object\n        tol: the max distance between equivalent points\n\n    Returns:\n        index, p: index is a single index for the Wyckoff position within\n        the sg. If no matching WP is found, returns False. point is a\n        coordinate taken from the list points. When plugged into the Wyckoff\n        position, it will generate all the other points.\n    \"\"\"\n    points = np.array(points)\n    wyckoffs = group.wyckoffs\n    w_symm_all = group.w_symm\n    PBC = group.PBC\n    # new method\n    # Store the squared distance tolerance\n    t = tol**2\n    # Loop over Wyckoff positions\n    for i, wp in enumerate(wyckoffs):\n        # Check that length of points and wp are equal\n        if len(wp) != len(points):\n            continue\n        failed = False\n\n        # Search for a generating point\n        for p in points:\n            failed = False\n            # Check that point works as x,y,z value for wp\n            xyz = filtered_coords_euclidean(wp[0].operate(p) - p, PBC=PBC)\n\n            if xyz.dot(xyz) > t:\n                continue\n            # Calculate distances between original and generated points\n            pw = np.array([op.operate(p) for op in wp])\n            dw = distance_matrix(points, pw, None, PBC=PBC,\n                                 metric=\"sqeuclidean\")\n\n            # Check each row for a zero\n            for row in dw:\n                num = (row < t).sum()\n                if num < 1:\n                    failed = True\n                    break\n\n            if failed:\n                continue\n            # Check each column for a zero\n            for column in dw.T:\n                num = (column < t).sum()\n                if num < 1:\n                    failed = True\n                    break\n\n            # Calculate distance between original and generated points\n            ps = np.array([op.operate(p) for op in w_symm_all[i][0]])\n            ds = distance_matrix([p], ps, None, PBC=PBC, metric=\"sqeuclidean\")\n            # Check whether any generated points are too far away\n            num = (ds > t).sum()\n            if num > 0:\n                failed = True\n\n            if failed:\n                continue\n            return i, p\n    return False, None\n\n\ndef get_symbol_and_number(input_group, dim=3):\n    \"\"\"\n    Function for quick conversion between symbols and numbers.\n\n    Args:\n        input_group: the group symbol or international number\n        dim: the periodic dimension of the group\n    \"\"\"\n\n    keys = {\n        3: \"space_group\",\n        2: \"layer_group\",\n        1: \"rod_group\",\n        0: \"point_group\",\n    }\n\n    group_symbols = loadfn(rf(\"pyxtal\", \"database/symbols.json\"))\n    lists = group_symbols[keys[dim]]\n    number = None\n    symbol = None\n    if dim not in [0, 1, 2, 3]:\n        raise ValueError(f\"Dimension ({dim:d}) should in [0, 1, 2, 3] \")\n\n    if isinstance(input_group, str):\n        for i, _symbol in enumerate(lists):\n            if _symbol == input_group:\n                number = i + 1\n                symbol = input_group\n                return symbol, number\n        msg = f\"({input_group:s}) not found in {keys[dim]:s} \"\n        raise ValueError(msg)\n\n    valid, msg = check_symmetry_and_dim(input_group, dim)\n    if not valid:\n        raise ValueError(msg)\n\n    number = input_group\n    symbol = lists[number - 1]\n    return symbol, number\n\ndef check_symmetry_and_dim(number, dim=3):\n    \"\"\"\n    Check if it is a valid number for the given symmetry\n\n    Args:\n        number: int\n        dim: 0, 1, 2, 3\n    \"\"\"\n    valid = True\n    msg = \"This is a valid group number\"\n\n    numbers = [56, 75, 80, 230]\n    if dim not in [0, 1, 2, 3]:\n        msg = f\"invalid dimension {dim:d}\"\n        valid = False\n    else:\n        max_num = numbers[dim]\n        if number not in range(1, max_num + 1):\n            valid = False\n            msg = f\"invalid symmetry group {number:d}\"\n            msg += f\" in dimension {dim:d}\"\n    return valid, msg\n\ndef get_pbc_and_lattice(number, dim):\n    if dim == 3:\n        PBC = [1, 1, 1]\n        if number <= 2:\n            lattice_type = \"triclinic\"\n        elif number <= 15:\n            lattice_type = \"monoclinic\"\n        elif number <= 74:\n            lattice_type = \"orthorhombic\"\n        elif number <= 142:\n            lattice_type = \"tetragonal\"\n        elif number <= 167:\n            lattice_type = \"trigonal\"\n        elif number <= 194:\n            lattice_type = \"hexagonal\"\n        elif number <= 230:\n            lattice_type = \"cubic\"\n    elif dim == 2:\n        PBC = [1, 1, 0]\n        if number <= 2:\n            lattice_type = \"triclinic\"\n        elif number <= 18:\n            lattice_type = \"monoclinic\"\n        elif number <= 48:\n            lattice_type = \"orthorhombic\"\n        elif number <= 64:\n            lattice_type = \"tetragonal\"\n        elif number <= 80:\n            lattice_type = \"hexagonal\"\n    elif dim == 1:\n        PBC = [0, 0, 1]\n        if number <= 2:\n            lattice_type = \"triclinic\"\n        elif number <= 12:\n            lattice_type = \"monoclinic\"\n        elif number <= 22:\n            lattice_type = \"orthorhombic\"\n        elif number <= 41:\n            lattice_type = \"tetragonal\"\n        elif number <= 75:\n            lattice_type = \"hexagonal\"\n    elif dim == 0:\n        PBC = [0, 0, 0]\n        # \"C1\", \"Ci\", \"D2\", \"D2h\", \"T\", \"Th\",\n        # \"O\", \"Td\", \"Oh\", \"I\", \"Ih\",\n        lattice_type = \"spherical\" if number in [\n            1, 2, 6, 8, 28, 29, 30, 31, 32, 55, 56] else \"ellipsoidal\"\n    return PBC, lattice_type\n\ndef search_cloest_wp(G, wp, op, pos):\n    \"\"\"\n    For a given position, search for the cloest wp which satisfies the desired\n    symmetry relation, e.g., for pos (0.1, 0.12, 0.2) and op (x, x, z) the\n    closest match is (0.11, 0.11, 0.2)\n\n    Args:\n        G: space group number\n        wp: Wyckoff object\n        op: symmetry operation belonging to wp\n        pos: initial xyz position\n\n    Return:\n        pos1: the position that matchs symmetry operation\n    \"\"\"\n    # G = Group(wp.number)\n    if np.linalg.matrix_rank(op.rotation_matrix) == 0:\n        # fixed point (e.g, 1/2, 1/2, 1/2)\n        return op.translation_vector\n    elif np.linalg.matrix_rank(op.rotation_matrix) == 3:\n        # fully independent, e.g., (x,y,z), (-x,y,z)\n        return pos\n    else:\n        # check if this is already matched\n        wp0 = G[0]\n        coords = wp.search_all_generators(pos, wp0)\n        if len(coords) > 0:\n            diffs = []\n            for coord in coords:\n                tmp = op.operate(coord)\n                diff1 = tmp - pos\n                diff1 -= np.rint(diff1)\n                dist = np.linalg.norm(diff1)\n                if dist < 1e-3:\n                    return tmp\n                else:\n                    diffs.append(dist)\n            minID = np.argmin(diffs)\n            return op.operate(coords[minID])\n\n        # if not match, search for the closest solution\n        else:\n            # extract all possible xyzs\n            all_xyz = apply_ops(pos, wp0)[1:]\n            dists = all_xyz - pos\n            dists -= np.rint(dists)\n            ds = np.linalg.norm(dists, axis=1)\n            ids = np.argsort(ds)\n            for id in ids:\n                d = all_xyz[id] - pos\n                d -= np.rint(d)\n                res = pos + d / 2\n                if wp.search_generator(res, wp0) is not None:\n                    # print(ds[id], pos, res)\n                    return res\n            return op.operate(pos)\n\ndef get_point_group(number):\n    \"\"\"\n    Parse the point group symmetry info from space group.\n\n    According to http://img.chem.ucl.ac.uk/sgp/misc/pointgrp.htm,\n    among 32 point groups and 230 space groups, there are:\n\n    - 10 polar point groups (68 space groups):\n        1, 2, m, mm2, 3, 3m, 4, 4mm, 6, 6mm\n\n    - 11 centrosymmetric point groups (92 space groups):\n        -1, 2/m, mmm, 4/m, 4/mmm, -3, -3m, 6/m, 6/mmm, m-3, m-3m\n\n    - 11 enantiomorphic point groups (65 space groups):\n        1, 2, 222, 4, 422, 3, 32, 6, 622, 23, 432\n\n    Args:\n        number (int): Space group number between 1-230\n\n    Returns:\n        tuple: (point_group_symbol, point_group_number, is_polar,\n               has_inversion, is_enantiomorphic)\n    \"\"\"\n\n    if number == 1:\n        return \"1\", 1, True, False, True\n    elif number == 2:\n        return \"-1\", 2, False, True, False\n    elif 3 <= number <= 5:\n        return \"2\", 3, True, False, True\n    elif 6 <= number <= 9:\n        return \"m\", 4, True, False, False\n    elif 10 <= number <= 15:\n        return \"2/m\", 5, False, True, False\n    elif 16 <= number <= 24:\n        return \"222\", 6, False, False, True\n    elif 25 <= number <= 46:\n        return \"mm2\", 7, True, False, False\n    elif 47 <= number <= 74:\n        return \"mmm\", 8, False, True, False\n    elif 75 <= number <= 80:\n        return \"4\", 9, True, False, True\n    elif 81 <= number <= 82:\n        return \"-4\", 10, False, False, False\n    elif 83 <= number <= 88:\n        return \"4/m\", 11, False, True, False\n    elif 89 <= number <= 98:\n        return \"422\", 12, False, False, True\n    elif 99 <= number <= 110:\n        return \"4mm\", 13, True, False, False\n    elif 111 <= number <= 122:\n        return \"-42m\", 14, False, False, False\n    elif 123 <= number <= 142:\n        return \"4/mmm\", 15, False, True, False\n    elif 143 <= number <= 146:\n        return \"3\", 16, True, False, True\n    elif 147 <= number <= 148:\n        return \"-3\", 17, False, True, False\n    elif 149 <= number <= 155:\n        return \"32\", 18, False, False, True\n    elif 156 <= number <= 161:\n        return \"3m\", 19, True, False, False\n    elif 162 <= number <= 167:\n        return \"-3m\", 20, False, True, False\n    elif 168 <= number <= 173:\n        return \"6\", 21, True, False, True\n    elif number == 174:\n        return \"-6\", 22, False, False, False\n    elif 175 <= number <= 176:\n        return \"6/m\", 23, False, True, False\n    elif 177 <= number <= 182:\n        return \"622\", 24, False, False, True\n    elif 183 <= number <= 186:\n        return \"6mm\", 25, True, False, False\n    elif 187 <= number <= 190:\n        return \"-62m\", 26, False, False, False\n    elif 191 <= number <= 194:\n        return \"6/mmm\", 27, False, True, False\n    elif 195 <= number <= 199:\n        return \"23\", 28, False, False, True\n    elif 200 <= number <= 206:\n        return \"m-3\", 29, False, True, False\n    elif 207 <= number <= 214:\n        return \"432\", 30, False, False, True\n    elif 215 <= number <= 220:\n        return \"-43m\", 31, False, False, False\n    elif 221 <= number <= 230:\n        return \"m-3m\", 32, False, True, False\n    return None\n\n\ndef get_close_packed_groups(pg):\n    \"\"\"\n    List the close packed groups based on the molecular symmetry.\n\n    Compiled from AIK Book, Table 2 P34.\n\n    Args:\n        pg (str): Point group symbol.\n\n    Returns:\n        list or None: List of space group numbers, or None if not found.\n    \"\"\"\n    close_packed_groups = {\n        \"1\": [1, 2, 4, 14, 19, 29, 33, 51, 54, 61, 62],\n        \"2\": [1, 15, 18, 60],\n        \"m\": [1, 26, 36, 63, 64],\n        \"I\": [1, 2, 14, 15, 61],\n        \"mm\": [42, 51, 59],\n        \"2/m\": [12, 54, 64],\n        \"222\": [21, 22, 23, 68],\n        \"mmm\": [65, 69, 71],\n    }\n\n    return close_packed_groups.get(pg)\n\n\ndef para2ferro(pg):\n    \"\"\"\n    88 potential paraelectric-to-ferroelectric phase transitions\n    https://journals.aps.org/prb/abstract/10.1103/PhysRevB.2.754\n    https://pubs.rsc.org/en/content/articlelanding/2016/cs/c5cs00308c\n\n    Args:\n        paraelectric point group\n\n    Returns:\n        list of ferroelectric point groups\n    \"\"\"\n    # Triclinic: 1\n    if pg == \"-1\":  # 2\n        return [\"1\"]\n    # Monoclinic: 5\n    elif pg in [\"2\", \"m\"]:  # 2\n        return \"1\"\n    elif pg == \"2/m\":  # 3\n        return [\"1\", \"m\", \"2\"]\n    # Orthorhombic: #7\n    elif pg == \"222\":  # 2\n        return [\"1\", \"2\"]\n    elif pg == \"mm2\":  # 2\n        return [\"1\", \"m\"]\n    elif pg == \"mmm\":  # 3\n        return [\"1\", \"m\", \"mm2\"]\n    # Tetragonal: 20\n    elif pg == \"4\":  # 1\n        return [\"1\"]\n    elif pg == \"-4\":  # 2\n        return [\"1\", \"2\"]\n    elif pg == \"4/m\":  # 3\n        return [\"1\", \"2\", \"4\"]\n    elif pg == \"422\":  # 3\n        # return ['1', '2(s)', '4']\n        return [\"1\", \"2\", \"4\"]\n    elif pg == \"4mm\":  # 2\n        return [\"1\", \"m\"]\n    elif pg == \"-42m\":  # 4\n        # return ['1', '2(s)', 'm', 'mm2']\n        return [\"1\", \"2\", \"m\", \"mm2\"]\n    elif pg == \"4/mmm\":  # 5\n        # return ['1', 'm(s)', 'm(p)', 'mm2(s)', '4mm']\n        return [\"1\", \"m\", \"mm2\", \"4mm\"]\n    # Trigonal: 12\n    elif pg == \"3\":  # 1\n        return [\"1\"]\n    elif pg == \"-3\":  # 2\n        return [\"1\", \"3\"]\n    elif pg == \"32\":  # 3\n        return [\"1\", \"2\", \"3\"]\n    elif pg == \"3m\":  # 2\n        return [\"1\", \"m\"]\n    elif pg == \"-3m\":  # 4\n        return [\"1\", \"2\", \"m\", \"3m\"]\n    # Hexagonal: 22\n    elif pg == \"6\":  # 1\n        return [\"1\"]\n    elif pg == \"-6\":  # 3\n        return [\"1\", \"m\", \"3\"]\n    elif pg == \"6/m\":  # 3\n        return [\"1\", \"m\", \"6\"]\n    elif pg == \"622\":  # 3\n        # return ['1', '2(s)', '6']\n        return [\"1\", \"2\", \"6\"]\n    elif pg == \"6mm\":  # 2\n        return [\"1\", \"2\"]\n    elif pg in [\"-62m\", \"-6m2\"]:  # 5\n        # return ['1', 'm(s)', 'm(p)', 'mm2', '3m']\n        return [\"1\", \"m\", \"mm2\", \"3m\"]\n    elif pg == \"6/mmm\":  # 5\n        # return ['1', 'm(s)', 'm(p)', 'mm2(s)', '6mm']\n        return [\"1\", \"m\", \"mm2\", \"6mm\"]\n    # Cubic: 21\n    elif pg == \"23\":  # 3\n        return [\"1\", \"2\", \"3\"]\n    elif pg == \"m-3\":  # 4\n        return [\"1\", \"m\", \"mm2\", \"3\"]\n    elif pg == \"432\":  # 4\n        # return ['1', '2(s)', '4', '3']\n        return [\"1\", \"2\", \"4\", \"3\"]\n    elif pg == \"-43m\":  # 4\n        return [\"1\", \"m\", \"mm2\", \"3m\"]\n    elif pg == \"m-3m\":  # 6\n        # return ['1', 'm(s)', 'm(p)', 'mm2', '4mm', '3m']\n        return [\"1\", \"m\", \"mm2\", \"4mm\", \"3m\"]\n    return None\n\n\ndef get_all_polar_space_groups():\n    ps, nps = [], []\n    for i in range(1, 231):\n        g = Group(i, quick=True)\n        if g.polar:\n            ps.append(i)\n        else:\n            nps.append(i)\n    return ps, nps\n\n\ndef abc2matrix(abc):\n    \"\"\"\n    Convert the ABC string representation to an affine matrix.\n\n    Args:\n        abc (str): String representation in formats like:\n            - 'a, b, c'\n            - 'a+c, b, c'\n            - 'a+1/4, b+1/4, c'\n\n    Returns:\n        tuple: Contains:\n            - 3x3 rotation matrix\n            - 3-element translation vector\n\n    Examples:\n        >>> abc2matrix('a+1/4, b+1/4, c')\n        (array([[1., 0., 0.],\n                [0., 1., 0.],\n                [0., 0., 1.]]), array([0.25, 0.25, 0.  ]))\n    \"\"\"\n    rot_matrix = np.zeros((3, 3))\n    trans = np.zeros(3)\n    toks = abc.strip().replace(\" \", \"\").lower().split(\",\")\n    re_rot = re.compile(r\"([+-]?)([\\d\\.]*)/?([\\d\\.]*)([a-c])\")\n    re_trans = re.compile(r\"([+-]?)([\\d\\.]+)/?([\\d\\.]*)(?![a-c])\")\n    for i, tok in enumerate(toks):\n        # build the rotation matrix\n        for m in re_rot.finditer(tok):\n            factor = -1.0 if m.group(1) == \"-\" else 1.0\n            if m.group(2) != \"\":\n                if m.group(3) != \"\":\n                    factor *= float(m.group(2)) / float(m.group(3))\n                else:\n                    factor *= float(m.group(2))\n            j = ord(m.group(4)) - 97\n            try:\n                rot_matrix[i, j] = factor\n            except:\n                print(abc)\n                import sys; sys.exit()\n\n        # build the translation vector\n        for m in re_trans.finditer(tok):\n            factor = -1 if m.group(1) == \"-\" else 1\n            num = float(m.group(2)) / float(m.group(3)\n                                            ) if m.group(3) != \"\" else float(m.group(2))\n            trans[i] = num * factor\n    return (rot_matrix, trans)\n\n\ndef get_symmetry_from_ops(ops, tol=1e-5):\n    \"\"\"\n    get the hall number from symmetry operations.\n\n    Args:\n        ops: tuple of (rotation, translation) or list of strings\n        tol: tolerance\n    \"\"\"\n    from spglib import get_hall_number_from_symmetry\n\n    if isinstance(ops[0], str):\n        ops = [SymmOp.from_xyz_str(op) for op in ops]\n    rot = [op.rotation_matrix for op in ops]\n    tran = [op.translation_vector for op in ops]\n    hall_number = get_hall_number_from_symmetry(rot, tran, tol)\n    spg_number = HALL_TABLE[\"Spg_num\"][hall_number - 1]\n    return hall_number, spg_number\n\n\ndef identity_ops(op):\n    \"\"\"\n    check if the operation is the identity.\n    \"\"\"\n    (rot, trans) = op\n    return bool(np.allclose(rot, np.eye(3)) and np.sum(np.abs(trans)) < 0.001)\n\n\ndef transform_ops(ops, P, P1):\n    \"\"\"\n    Transformation according to the P and P1 operations.\n\n    Args:\n        ops: list of symmtry ops\n        P: transformation\n        P1: inverse transformation\n    \"\"\"\n    # print(\"}++++++++++++++++++++++\", len(ops))\n    rot_P = P[0].T\n    rot_Q = P1[0].T\n    tran_P = P[1]\n    for i, op1 in enumerate(ops):\n        # R = Q * R * P, suitable when P = {a-c, b, c}\n        tran = rot_Q.dot(op1.translation_vector) - tran_P\n        rot = rot_Q.dot(op1.rotation_matrix).dot(rot_P)\n        op2 = SymmOp.from_rotation_and_translation(rot, tran)\n        ops[i] = op2\n        # print(\"{:25s} ==> {:25s} ==> {:24s}\".format(s1, s2, s3))\n\n    # in case of (x+1/2, y, z) as the first\n    if np.linalg.norm(tran_P) > 1e-3:\n        base = ops[0].translation_vector\n        for i, op in enumerate(ops):\n            inv = np.linalg.inv(op.affine_matrix)\n            trans = inv[:3, 3] + base\n            trans -= np.rint(trans)\n            rot_ops = ops[i].rotation_matrix\n            ops[i] = SymmOp.from_rotation_and_translation(rot_ops, trans)\n\n    return ops\n\n\ndef trim_ops(ops):\n    \"\"\"\n    Convert the operation to the simplest form. For example:\n        - ``x+1/8, y+1/8, z+1/8`` -> ``x, y, z``\n        - ``1/8, y+1/8, -y+1/8`` -> ``1/8, y, -y+1/4``\n\n    Args:\n        ops (list): List of symmetry operations\n\n    Returns:\n        list: List of simplified symmetry operations\n    \"\"\"\n\n    def in_base(op, base):\n        for b in base:\n            if np.allclose(op, b[:3]) or np.allclose(op, -b[:3]):\n                return b\n        return None\n\n    def process_rotation(rot, tran, base):\n        for i in range(3):\n            tmp = rot[i, :]\n            if np.linalg.norm(tmp) > 1e-3:\n                b = in_base(tmp, base)\n                if b is None:\n                    _base = np.zeros(4)\n                    _base[:3] = tmp\n                    _base[3] = tran[i]\n                    base.append(_base)\n                    tran[i] = 0\n                else:\n                    coef = next(tmp[j] / b[j]\n                                for j in range(3) if abs(b[j]) > 0)\n                    tran[i] -= coef * b[3]\n        return tran\n\n    base = []\n    simplified_ops = []\n\n    for op in ops:\n        rot = op.rotation_matrix\n        tran = op.translation_vector\n        tran = process_rotation(rot, tran, base)\n\n        simplified_ops.append(SymmOp.from_rotation_and_translation(rot, tran))\n\n    return simplified_ops\n\n\ndef find_axis_order(axis, directions):\n    for i, axes in enumerate(directions):\n        for ax in axes:\n            if ax == axis:\n                return i\n    return None\n\n\ndef get_symmetry_directions(lattice_type, symbol=\"P\", unique_axis=\"b\"):\n    \"\"\"\n    Get the symmetry directions\n    \"\"\"\n    if lattice_type == \"monoclinic\":\n        if unique_axis == \"b\":\n            return [[(0, 1, 0)]]\n        elif unique_axis == \"c\":\n            return [[(0, 0, 1)]]\n        else:\n            return [[(1, 0, 0)]]\n    elif lattice_type == \"orthorhombic\":\n        return [[(1, 0, 0)], [(0, 1, 0)], [(0, 0, 1)]]\n    elif lattice_type == \"tetragonal\":\n        return [[(0, 0, 1)], [(1, 0, 0), (0, 1, 0)], [(1, -1, 0), (1, 1, 0)]]\n    elif lattice_type == \"hexagonal\" or (lattice_type == \"trigonal\" and symbol == \"P\"):\n        return [\n            [(0, 0, 1)],\n            [(1, 0, 0), (0, 1, 0), (1, 1, 0)],\n            [(1, -1, 0), (1, 2, 0), (2, 1, 0)],\n        ]\n    elif lattice_type == \"trigonal\" and symbol == \"R\":\n        return [[(0, 0, 1)], [(1, 0, 0), (0, 1, 0), (1, 1, 0)]]\n    # elif lattice_type == 'rhombohedral':\n    #    return [[(0, 0, 1)],\n    #            [(1, 0, 0), (0, 1, 0), (-1, -1, 0)]]\n    elif lattice_type == \"cubic\":\n        return [\n            [(1, 0, 0), (0, 1, 0), (0, 0, 1)],\n            [(1, 1, 1), (1, -1, -1), (-1, 1, -1), (-1, -1, 1)],\n            [(1, -1, 0), (1, 1, 0), (0, 1, -1), (0, 1, 1), (-1, 0, 1), (1, 0, 1)],\n        ]\n    else:\n        return [[(0, 1, 0)]]\n\ndef is_hkl_allowed(h, k, l, spg):\n    \"\"\"\n    Check if hkl is allowed based on systematic absences for the given space group.\n\n    Symmetry Element              | Affected Reflection | Condition for Reflection to Be Present\n    ------------------------------|---------------------|----------------------------------------\n    Lattice Centering:\n      primitive lattice (P)       | hkl                 | always present\n      body-centered lattice (I)   | hkl                 | h + k + l = even\n      end-centered lattice (A)    | hkl                 | k + l = even\n      end-centered lattice (B)    | hkl                 | h + l = even\n      end-centered lattice (C)    | hkl                 | h + k = even\n      face-centered lattice (F)   | hkl                 | h, k, l all odd or all even\n\n    Screw Axes:\n      2-fold screw, 21 || a       | h00                 | h = even\n      4-fold screw, 42 || a       | h00                 | h = even\n      6-fold screw, 63 || c       | 00l                 | l divisible by 3\n      3-fold screw, 31 or 32 || c | 00l                 | l divisible by 3\n      6-fold screw, 62 or 64 || a | h00                 | h divisible by 4\n      4-fold screw, 41 or 43 || a | h00                 | h divisible by 4\n      6-fold screw, 61 or 65 || c | 00l                 | l divisible by 6\n\n    Glide Plane Perpendicular to the B-axis:\n      a glide                     | h0l                 | h = even\n      c glide                     | h0l                 | l = even\n      n glide                     | h0l                 | h + l = even\n      d glide                     | h0l                 | h + l divisible by 4\n    \"\"\"\n\n    # Lattice Centering (Table 2.2.13.1.)\n    if spg in body_centers:\n        if not (h + k + l) % 2 == 0:  # I-centering\n            return False\n    elif spg in face_centers:\n        if not (h%2 == k%2 == l%2):  # F-centering\n            return False\n    elif spg in c_centers:\n        if not (h + k) % 2 == 0:  # C-centering\n            return False\n    elif spg in a_centers:\n        if not (k + l) % 2 == 0:  # A-centering\n            return False\n    elif spg in r_centers:\n        if not (h - k - l) % 3 == 0:  # R-centering\n            return False\n\n    # Check screw_axis (Table 2.2.13.2)\n    if spg in screw_21a + screw_42a:  #\n        if k == 0 and l == 0 and h % 2 == 1:\n            return False\n    if spg in screw_41a + screw_43a:  # 4_1, 4_3 parallel to b, h00 with h%4 forbidden\n        if k == 0 and l == 0 and h % 4 != 0:\n            return False\n\n    if spg in screw_21b + screw_42b:  # 2_1, 4_2 parallel to b, 0k0 with k%2 forbidden\n        if h == 0 and l == 0 and k % 2 == 1:\n            return False\n    if spg in screw_41b + screw_43b:  # 4_1, 4_3 parallel to b, 0k0 with k%4 forbidden\n        if h == 0 and l == 0 and k % 4 != 0:\n            return False\n\n    if spg in screw_21c + screw_42c + screw_63c:  # 2_1, 4_2 parallel to c, 00l with l%2 forbidden\n        if h == 0 and k == 0 and l % 2 == 1:\n            return False\n    if spg in screw_41c + screw_43c:  # 4_1, 4_3 parallel to c, 00l with l%4 forbidden\n        if h == 0 and k == 0 and l % 4 != 0:\n            return False\n    if spg in screw_31c + screw_32c + screw_62c + screw_64c:  # 3_1, 3_2 parallel to c, 00l with l%3 forbidden\n        if h == 0 and k == 0 and l % 3 != 0:\n            return False\n    if spg in screw_61c + screw_65c:  # 6_1, 6_5 perpendicular to c, 00l with l%6 forbidden\n        if h == 0 and k == 0 and l % 6 != 0:\n            return False\n\n    # Check glide_plane (Table 2.2.13.2)\n    if spg in b_glide_a:  # a-glide perpendicular to b: 0kl with h odd forbidden\n        if h == 0 and k % 2 == 1:\n            return False\n    if spg in c_glide_a:  # c-glide perpendicular to b: 0kl with l odd forbidden\n        if h == 0 and l % 2 == 1:\n            return False\n    if spg in n_glide_a:  # n-glide perpendicular to b: 0kl with k+l odd forbidden\n        if h == 0 and (k + l) % 2 == 1:\n            return False\n    if spg in d_glide_a:  # d-glide perpendicular to b: 0kl with k+l not divisible by 4 forbidden\n        if h == 0 and (k + l) % 4 != 0:\n            return False\n\n    if spg in a_glide_b:  # a-glide perpendicular to a: h0l with k odd forbidden\n        if k == 0 and h % 2 == 1:\n            return False\n    if spg in c_glide_b:  # c-glide perpendicular to a: h0l with l odd forbidden\n        if spg > 15:\n            if k == 0 and l % 2 == 1:\n                return False\n        else:\n            if k == 0 and (l % 2 == 1 and (h + l) % 2 == 1):\n                return False\n    if spg in n_glide_b:  # n-glide perpendicular to a: h0l with h+l odd forbidden\n        if k == 0 and (h + l) % 2 == 1:\n            return False\n    if spg in d_glide_b:  # d-glide perpendicular to a: h0l with h+l not divisible by 4 forbidden\n        if k == 0 and (h + l) % 4 != 0:\n            return False\n\n    if spg in a_glide_c:  # a-glide perpendicular to c: hk0 with l odd forbidden\n        if l == 0 and h % 2 == 1:\n            return False\n    if spg in b_glide_c:  # b-glide perpendicular to c:\n        if l == 0 and k % 2 == 1:\n            return False\n    if spg in n_glide_c:  # n-glide perpendicular to c:\n        if l == 0 and (h + k) % 2 == 1:\n            return False\n    if spg in d_glide_c:  # d-glide perpendicular to c:\n        if l == 0 and (h + k) % 4 != 0:\n            return False\n\n    if spg in cn_glide_110:  # n-glide perpendicular to [110]: hhl with l odd forbidden\n        if h == k and l % 2 == 1:\n            return False\n    elif spg in d_glide_110:\n        if h == k and h % 2 == 0 and (h+k+l) % 4 != 0:\n            return False\n\n    if spg in an_glide_011:  # n-glide perpendicular to [011]: 0ll with h odd forbidden\n        if k == l and h % 2 == 1:\n            return False\n    elif spg in d_glide_011:  # d-glide perpendicular to [011]: 0ll with h not divisible by 4 forbidden\n        if k == l and h % 2 == 0 and (h+k+l) % 4 != 0:\n            return False\n    if spg in bn_glide_101:  # n-glide perpendicular to [101]: hkh with k odd forbidden\n        if h == l and k % 2 == 1:\n            return False\n    elif spg in d_glide_101:  # d-glide perpendicular to [101]:\n        if h == l and k % 2 == 0 and (h+k+l) % 4 != 0:\n            return False\n\n    return True\n\ndef get_canonical_hkl(h, k, l, spg):\n    \"\"\"\n    Get the canonical form of hkl for each crystal system to remove symmetry equivalents\n    \"\"\"\n    hkl = [abs(h), abs(k), abs(l)]  # Take absolute values first\n\n    def canonical_hex_hkl(h, k, l):\n        \"\"\"Canonicalize hkl for hexagonal systems using 6-fold in-plane symmetry.\"\"\"\n        candidates = [\n            (h, k, l),\n            (-k, h + k, l),\n            (-h - k, h, l),\n            (-h, -k, l),\n            (k, -h - k, l),\n            (h + k, -h, l),\n        ]\n        candidates = [tuple(abs(x) for x in c) for c in candidates]\n        return max(candidates)\n\n    if spg >= 195:  # cubic\n        # For cubic: sort in descending order\n        # (2,2,0), (2,0,2), (0,2,2) all become (2,2,0)\n        hkl.sort(reverse=True)\n        return tuple(hkl)\n\n    elif spg >= 168:  # hexagonal\n        return canonical_hex_hkl(h, k, abs(l))\n\n    elif spg >= 143:  # trigonal\n        h_sorted = sorted([hkl[0], hkl[1]], reverse=True)\n        return tuple([h_sorted[0], h_sorted[1], hkl[2]])\n\n    elif spg >= 75:  # tetragonal\n        # For tetragonal: h and k are equivalent, l is unique\n        # (2,1,3) and (1,2,3) are equivalent -> (2,1,3)\n        h_sorted = sorted([hkl[0], hkl[1]], reverse=True)\n        return tuple([h_sorted[0], h_sorted[1], hkl[2]])\n\n    else: # monoclinic, triclinic\n        # Lower symmetry: sort to remove permutation duplicates\n        #hkl.sort(reverse=True)\n        return tuple(hkl)\n\ndef get_canonical_hkl_series(hkl_series, spg):\n    \"\"\"\n    Get canonical forms for a series of hkls ensuring consistent permutation order.\n    Apply the same permutation to ALL hkls in the series.\n\n    Args:\n        hkl_series: list of (h, k, l) tuples\n        spg: space group number\n\n    Returns:\n        tuple: canonical_series as a tuple (hashable)\n    \"\"\"\n    from itertools import permutations\n\n    def canonical_hex_hkl(h, k, l):\n        \"\"\"Canonicalize hkl for hexagonal systems using 6-fold in-plane symmetry.\"\"\"\n        candidates = [\n            (h, k, l),\n            (-k, h + k, l),\n            (-h - k, h, l),\n            (-h, -k, l),\n            (k, -h - k, l),\n            (h + k, -h, l),\n        ]\n        candidates = [tuple(abs(x) for x in c) for c in candidates]\n        return max(candidates)\n\n    def apply_permutation_to_series(hkl_series, perm):\n        \"\"\"Apply the same permutation to all hkls in the series\"\"\"\n        return [tuple(abs(hkl[i]) for i in perm) for hkl in hkl_series]\n\n    if spg >= 195:  # cubic - all three indices equivalent\n        # Try all 6 permutations and pick the lexicographically largest result\n        best_canonical = None\n        best_score = None\n\n        for perm in permutations([0, 1, 2]):\n            # Apply the same permutation to the entire series\n            canonical_series = apply_permutation_to_series(hkl_series, perm)\n\n            # Sort each individual hkl in descending order\n            canonical_series = [tuple(sorted(hkl, reverse=True)) for hkl in canonical_series]\n\n            # Score based on lexicographic ordering\n            score = sum(sum(h * (10**(3-i)) for i, h in enumerate(hkl))\n                       for hkl in canonical_series)\n\n            if best_score is None or score > best_score:\n                best_score = score\n                best_canonical = canonical_series\n\n        return tuple(best_canonical)\n\n    elif spg >= 168:  # hexagonal - 6-fold in-plane symmetry, l unique\n        canonical_series = [canonical_hex_hkl(h, k, l) for h, k, l in hkl_series]\n        return tuple(canonical_series)\n\n    elif spg >= 143:  # trigonal - h and k equivalent, l unique\n        best_canonical = None\n        best_score = None\n\n        # Try permutations that maintain crystallographic meaning\n        perms_to_try = [(0, 1, 2), (1, 0, 2)]  # Keep l in position, swap h,k\n\n        for perm in perms_to_try:\n            # Apply the same permutation to the entire series\n            canonical_series = apply_permutation_to_series(hkl_series, perm)\n\n            # For trigonal: sort h,k but keep l separate\n            canonical_series = [\n                tuple([*sorted([hkl[0], hkl[1]], reverse=True), hkl[2]])\n                for hkl in canonical_series\n            ]\n\n            # Score the result\n            score = sum(sum(h * (10**(3-i)) for i, h in enumerate(hkl))\n                       for hkl in canonical_series)\n\n            if best_score is None or score > best_score:\n                best_score = score\n                best_canonical = canonical_series\n\n        return tuple(best_canonical)\n\n    elif spg >= 75:  # tetragonal - h and k equivalent, l unique\n        best_canonical = None\n        best_score = None\n\n        # Try permutations that maintain crystallographic meaning\n        perms_to_try = [(0, 1, 2), (1, 0, 2)]  # Keep l in position, swap h,k\n\n        for perm in perms_to_try:\n            # Apply the same permutation to the entire series\n            canonical_series = apply_permutation_to_series(hkl_series, perm)\n\n            # For tetragonal: sort h,k but keep l separate\n            canonical_series = [\n                tuple([*sorted([hkl[0], hkl[1]], reverse=True), hkl[2]])\n                for hkl in canonical_series\n            ]\n\n            # Score the result\n            score = sum(sum(h * (10**(3-i)) for i, h in enumerate(hkl))\n                       for hkl in canonical_series)\n\n            if best_score is None or score > best_score:\n                best_score = score\n                best_canonical = canonical_series\n\n        return tuple(best_canonical)\n\n    else:  # lower symmetry\n        # Try all permutations for the entire series\n        best_canonical = None\n        best_score = None\n\n        for perm in permutations([0, 1, 2]):\n            # Apply the same permutation to the entire series\n            canonical_series = apply_permutation_to_series(hkl_series, perm)\n\n            # Sort each hkl in descending order\n            #canonical_series = [tuple(sorted(hkl, reverse=True)) for hkl in canonical_series]\n\n            # Score the result\n            score = sum(sum(h * (10**(3-i)) for i, h in enumerate(hkl))\n                       for hkl in canonical_series)\n            #print(perm, hkl_series, '->', canonical_series, 'score:', score)\n            if best_score is None or score > best_score:\n                best_score = score\n                best_canonical = canonical_series\n\n        return tuple(best_canonical)\n\ndef get_bravais_lattice(spg):\n    \"\"\"\n    1: Triclinic-P\n    2: Monoclinic-P\n    3: Monoclinic-C\n    4: Orthorhombic-P\n    5: Orthorhombic-A\n    6: Orthorhombic-C\n    7: Orthorhombic-I\n    8: Orthorhombic-F\n    9: Tetragonal-P\n    10: Tetragonal-I\n    11: Hexagonal-P\n    12: Rhombohedral-R\n    13: Cubic-P\n    14: Cubic-I\n    15: Cubic-F\n    \"\"\"\n    if spg < 3: # Triclinic-P\n        return 1\n    elif spg < 16: # Monoclinic\n        if spg in [3, 4, 6, 7, 10, 11, 13, 14]: #P\n            return 2\n        else: # C\n            return 3\n    elif spg < 75: # Orthorhombic\n        if spg in [38, 39, 40, 41]: #A\n            return 5\n        if spg in [20, 21, 35, 36, 37, 63, 64, 65, 66, 67, 68]: #C\n            return 6\n        elif spg in [23, 24, 44, 45, 46, 71, 72, 73, 74]:#I\n            return 7\n        elif spg in [22, 42, 43, 69, 70]: #F\n            return 8\n        else:\n            return 4\n    elif spg < 143: #Tetragonal\n        if spg in [79, 80, 82, 87, 88, 97, 98, 107, 108, 109, 110, 119, 120, 121, 122, 139, 140, 141, 142]: #I\n            return 10\n        else:\n            return 9\n    elif spg < 195: # Hexagonal\n        if spg in [146, 148, 155, 160, 161, 166, 167]:\n            return 12\n        else:\n            return 11\n    else: # Cubic\n        if spg in [197, 199, 204, 206, 211, 214, 217, 220, 229, 230]: # I\n            return 14\n        elif spg in [196, 202, 203, 209, 210, 216, 219, 225, 226, 227, 228]: # F\n            return 15\n        else:\n            return 13\n\ndef get_lattice_type(bravais):\n    \"\"\"\n    Get the lattice type string from bravais lattice number.\n    \"\"\"\n    if bravais in [13, 14, 15]:\n        return 6\n    elif bravais in [11, 12]:\n        return 5\n    elif bravais in [9, 10]:\n        return 4\n    elif bravais in [4, 5, 6, 7, 8]:\n        return 3\n    elif bravais in [2, 3]:\n        return 2\n    else:\n        return 1\n\ndef is_hkl_allowed_by_bravais(h, k, l, bravais):\n    \"\"\"\n    Check if hkl is allowed based on systematic absences for the given space group.\n\n    Symmetry Element              | Affected Reflection | Condition for Reflection to Be Present\n    ------------------------------|---------------------|----------------------------------------\n    Lattice Centering:\n      primitive lattice (P)       | hkl                 | always present\n      body-centered lattice (I)   | hkl                 | h + k + l = even\n      end-centered lattice (A)    | hkl                 | k + l = even\n      end-centered lattice (B)    | hkl                 | h + l = even\n      end-centered lattice (C)    | hkl                 | h + k = even\n      face-centered lattice (F)   | hkl                 | h, k, l all odd or all even\n      r-centered lattice (R)      | hkl                 | h-k-l % 3\n    \"\"\"\n\n    # Lattice Centering (Table 2.2.13.1.)\n    if bravais in [1, 2, 4, 9, 11, 13]:\n        return True\n    elif bravais in [7, 10, 14]:\n        if not (h + k + l) % 2 == 0:  # I-centering\n            return False\n    elif bravais in [8, 15]:\n        if not (h%2 == k%2 == l%2):  # F-centering\n            return False\n    elif bravais in [3, 6]:\n        if not (h + k) % 2 == 0:  # C-centering\n            return False\n    elif bravais in [5]:\n        if not (k + l) % 2 == 0:  # A-centering\n            return False\n    elif bravais in [12]:\n        if not (h - k - l) % 3 == 0: # R-centering\n            return False\n    return True\n\ndef generate_possible_hkls(bravais, h_max=50, k_max=50, l_max=50):\n    \"\"\"\n    Generate reasonable hkl indices within a cutoff for different crystal systems.\n\n    Args:\n        bravrais: bravais lattice type (1-15)\n        h_max: maximum absolute value for h\n        k_max: maximum absolute value for k\n        l_max: maximum absolute value for l\n        level: level of indexing (0 for triclinic; 1 for monoclinic; 2 for orthorhombic or higher)\n    \"\"\"\n    if bravais in [4, 5, 6, 7, 8, 9, 10, 13, 14, 15]:\n        level = 3  # orthorhombic or higher\n    elif bravais in [11, 12]:\n        level = 2  # hexagonal\n    elif bravais in [2, 3]:\n        level = 1  # monoclinic\n    else:\n        level = 0  # triclinic\n\n    if level == 3: # orthorhombic or higher\n        base_signs = [(1, 1, 1)]\n    elif level == 2:  # hexagonal (110) (1-10)\n        base_signs = [(1, 1, 1), (1, -1, 1)]\n    elif level == 1: # monoclinic, baxis unique, (101) (10-1)\n        base_signs = [(1, 1, 1), (1, 1, -1)]\n    else:\n        base_signs = [(1, 1, 1), (1, 1, -1), (1, -1, 1), (-1, 1, 1),\n                      (1, -1, -1), (-1, 1, -1), (-1, -1, 1), (-1, -1, -1)]\n    # Create meshgrid for all h, k, l combinations\n    h_vals, k_vals, l_vals = np.meshgrid(\n        np.arange(h_max + 1),\n        np.arange(k_max + 1),\n        np.arange(l_max + 1),\n        indexing='ij'\n    )\n\n    # Flatten to get all combinations\n    h_flat = h_vals.flatten()\n    k_flat = k_vals.flatten()\n    l_flat = l_vals.flatten()\n\n    # Filter out (0,0,0)\n    non_zero_mask = (h_flat**2 + k_flat**2 + l_flat**2) > 0\n    h_flat = h_flat[non_zero_mask]\n    k_flat = k_flat[non_zero_mask]\n    l_flat = l_flat[non_zero_mask]\n\n    h1_flat, k1_flat, l1_flat = [], [], []\n    for h, k, l in zip(h_flat, k_flat, l_flat):\n        if is_hkl_allowed_by_bravais(h, k, l, bravais):\n            h1_flat.append(h)\n            k1_flat.append(k)\n            l1_flat.append(l)\n    h1_flat = np.array(h1_flat)\n    k1_flat = np.array(k1_flat)\n    l1_flat = np.array(l1_flat)\n    # Apply all sign combinations vectorized\n    all_hkls = []\n    for signs in base_signs:\n        sh = signs[0] * h1_flat\n        sk = signs[1] * k1_flat\n        sl = signs[2] * l1_flat\n        hkls_with_signs = np.column_stack([sh, sk, sl])\n        all_hkls.append(hkls_with_signs)\n\n    all_hkls = np.vstack(all_hkls)\n\n    # Remove symmetry-equivalent hkls using representative space groups\n    bravais_to_spg = {\n        1: 1,    # triclinic P\n        2: 3,    # monoclinic P\n        3: 5,    # monoclinic C\n        4: 16,   # orthorhombic P\n        5: 16,   # orthorhombic A\n        6: 16,   # orthorhombic C\n        7: 16,   # orthorhombic I\n        8: 16,   # orthorhombic F\n        9: 75,   # tetragonal P\n        10: 79,  # tetragonal I\n        11: 168, # hexagonal P\n        12: 143, # rhombohedral/trigonal R\n        13: 195, # cubic P\n        14: 197, # cubic I\n        15: 196, # cubic F\n    }\n    spg = bravais_to_spg[bravais]\n\n    # Build reciprocal-space rotation operators from a representative space group\n    reciprocal_ops = []\n    op_seen = set()\n    group = Group(spg)\n    if len(group.wyckoffs) > 0 and len(group.wyckoffs[0]) > 0:\n        for op in group.wyckoffs[0]:\n            try:\n                matrix = np.rint(np.linalg.inv(op.rotation_matrix).T).astype(int)\n            except np.linalg.LinAlgError:\n                continue\n            key = tuple(matrix.flatten().tolist())\n            if key not in op_seen:\n                op_seen.add(key)\n                reciprocal_ops.append(matrix)\n    if len(reciprocal_ops) == 0:\n        reciprocal_ops = [np.eye(3, dtype=int)]\n\n    unique_hkls = []\n    seen = set()\n    for h, k, l in all_hkls:\n        vec = np.array([int(h), int(k), int(l)], dtype=int)\n        orbit = [tuple((matrix @ vec).tolist()) for matrix in reciprocal_ops]\n        symmetry_key = max(orbit)\n        if symmetry_key not in seen:\n            seen.add(symmetry_key)\n            unique_hkls.append(tuple(vec.tolist()))\n\n    return np.array(unique_hkls, dtype=int)\n\n\nif __name__ == \"__main__\":\n    print(\"Test pyxtal.wp.site symmetry\")\n    spg_list = [14, 36, 62, 99, 143, 160, 182, 183, 191, 192,\n                193, 194, 225, 230]\n    spg_list = [191, 192]\n    for i in spg_list:\n        g = Group(i)\n        for wp in g:\n            wp.get_site_symmetry()\n            print(f\"{wp.number:4d} {wp.get_label():10s} {wp.site_symm:10s}\")\n\n    print(\"Test pyxtal.wp.site symmetry representation\")\n    for i in spg_list:\n        g = Group(i)\n        for wp in g:\n            if wp.index > 0:\n                for idx in range(1):  # wp.multiplicity):\n                    ss = wp.get_site_symmetry_object(idx)\n                    print(\n                        f\"\\n{wp.number:4d} {wp.get_label():10s} {ss.name:10s}\",\n                        ss.hm_symbols,\n                    )\n                    # ss.to_beautiful_matrix_representation(skip=True)\n                    # print(ss.to_matrix_representation())\n                    # print(ss.to_one_hot())\n\n    print(\"Test pyxtal.wp.site space group\")\n    for i in spg_list:\n        g = Group(i)\n        print(\"\\n\", g.number, g.symbol)\n        ss = g.get_spg_symmetry_object()\n        #ss.to_beautiful_matrix_representation()\n        # matrix = ss.to_matrix_representation_spg()\n        # print(matrix)\n        # print(sum(sum(matrix)))\n"
  },
  {
    "path": "pyxtal/symmetry_sampler.py",
    "content": "from typing import Counter\nfrom pyxtal.symmetry import Group\nimport random\n\nclass Sampler:\n    \"\"\"\n    A class to sample space group and Wyckoff position combinations\n    for a given chemical composition and maximum atom count.\n    \"\"\"\n\n    def __init__(self, composition=[1, 2], max_atoms=100, max_wp=20, verbose=False):\n        \"\"\"\n        Initializes the Sampler with a given composition and atom limit.\n\n        Args:\n            composition (list): A list of chemical element symbols, e.g., [1, 2].\n            max_atoms (int): The maximum number of atoms allowed in the unit cell.\n            max_wp (int): The maximum number of Wyckoff positions to consider.\n        \"\"\"\n        self.composition = composition\n        self.max_atoms = max_atoms\n        self.max_wp = max_wp\n        self.spg_range = range(1, 231)\n        self.verbose = verbose\n        self.max_comp_per_spg = 50\n        if self.verbose:\n            print(f\"Sampler initialized for {self.composition} with <= {self.max_atoms} atoms\")\n\n    def generate_combinations(self):\n        \"\"\"\n        Generates all valid (space group, Wyckoff positions) combinations\n        for the given composition and atom count constraints.\n        \"\"\"\n        self.base_symmetries = {}\n        count = 0\n        for spg in self.spg_range:\n            # Get all valid Wyckoff combinations for the given constraints\n            g = Group(spg)\n            Z_max = self.max_atoms // sum(self.composition)\n            for z in range(1, Z_max + 1):\n                comp = [n * z for n in self.composition]\n                wps, _, ids = g.list_wyckoff_combinations(comp, numWp=(len(comp), self.max_wp))\n                # sort ids by the length of each sublist to get the sorted index\n                indices = sorted(range(len(ids)), key=lambda i: sum(len(x) for x in ids[i]))\n                wps = [wps[i] for i in indices]\n                ids = [ids[i] for i in indices]\n                if ids:\n                    for i, id in enumerate(ids):\n                        if self.verbose:\n                            print(f\"Space Group {spg}, {wps[i]}\")\n                        frozen_id = tuple(tuple(sorted(x)) for x in id)\n                        key = (spg, frozen_id)\n                        self.base_symmetries[key] = 1\n                        count += 1\n                        if count == self.max_comp_per_spg:\n                            print(\"Too many combinations, moving to next space group.\")\n                            break\n                if count == self.max_comp_per_spg:\n                    count = 0\n                    break\n\n        if self.verbose:\n            print(f\"Generated {len(self.base_symmetries)} valid (spg, wps) combinations.\")\n\n\n    def augment_data(self, train_data, weight=10):\n        \"\"\"\n        Augments the data by calling get_subgroup_composition\n\n        Args:\n            train_data (list): The DataFrame containing (spg, wps) combinations.\n            weight (int): The weight to assign to the new combinations.\n\n        Returns:\n            list: A list of generated pyxtal structure objects.\n        \"\"\"\n        for data in train_data:\n            self.add_composition(data, multiplier=weight)\n            spg, wps = data\n            g = Group(spg)\n            sub_comps = g.get_subgroup_composition(wps,\n                                                   max_atoms=self.max_atoms,\n                                                   max_wps=self.max_wp)\n\n            for sub_comp in sub_comps:\n                # sum_comp: (125, [[2], [0, 1]])\n                self.add_composition(sub_comp, multiplier=weight//2)\n\n    def add_composition(self, data, multiplier=1):\n        \"\"\"\n        Adds a new (spg, wps) combination to the base_symmetries.\n\n        Args:\n            data (tuple): A tuple containing (spg, wps).\n            multiplier (int): The weight to assign to the new combination.\n        \"\"\"\n        spg, wps = data\n        frozen_id = tuple(tuple(sorted(x)) for x in wps)\n        key = (spg, frozen_id)\n        if key in self.base_symmetries.keys():\n            self.base_symmetries[key] += multiplier\n            if self.verbose:\n                print(f\"Updated existing composition: {data} with multiplier {multiplier}.\")\n        else:\n            self.base_symmetries[key] = multiplier\n            if self.verbose:\n                print(f\"Added new composition: {data} with multiplier {multiplier}.\")\n\n    def get_top_combinations(self, top_n=10):\n        \"\"\"\n        Retrieves the top N (spg, wps) combinations based on their weights.\n\n        Args:\n            top_n (int): The number of top combinations to retrieve.\n\n        Returns:\n            list: A list of tuples containing the top (spg, wps) combinations.\n        \"\"\"\n        sorted_combinations = sorted(self.base_symmetries.items(), key=lambda item: item[1], reverse=True)\n        return sorted_combinations[:top_n]\n\n    def sample(self, N=1):\n        \"\"\"\n        Samples a (spg, wps) combination based on their weights.\n\n        Args:\n            N (int): The number of samples to draw.\n\n        Returns:\n            list: A list of sampled (spg, wps) combinations.\n        \"\"\"\n        # Use random.choices for efficient weighted sampling\n        population = list(self.base_symmetries.keys())\n        weights = list(self.base_symmetries.values())\n\n        if not population:\n            return []\n\n        return random.choices(population, weights=weights, k=N)\n\nif __name__ == '__main__':\n    # --- Example Usage ---\n\n    # 1. Initialize the sampler for a composition (e.g., SiO2) with a max atom count\n    sio2_sampler = Sampler(composition=[1, 2], max_atoms=120, max_wp=15, verbose=True)\n\n    # 2. Generate all possible (spg, wps) combinations\n    sio2_sampler.generate_combinations()\n\n    # 3. (Optional) Augment data using subgroup compositions\n    data = [(152, [[1], [0]]), (181, [[8], [1]])]\n    sio2_sampler.augment_data(data, weight=1000)\n\n    print(\"Top combinations based on weights:\")\n    top_combinations = sio2_sampler.get_top_combinations(top_n=20)\n    for combo, weight in top_combinations:\n        print(f\"Combination: {combo}, Weight: {weight}\")\n\n\n    samples = sio2_sampler.sample(5000)\n\n    # Count the frequency of each sampled combination\n    sample_counts = Counter(samples)\n\n    print(\"\\nTop 20 most frequent sampled combinations:\")\n    sorted_samples = sample_counts.most_common(20)\n    for combo, count in sorted_samples:\n        print(f\"Combination: {combo}, Count: {count}\")\n"
  },
  {
    "path": "pyxtal/tolerance.py",
    "content": "import os\nimport numpy as np\nfrom pyxtal.database.element import Element\n\nclass Tol_matrix:\n    \"\"\"\n    Class for variable distance tolerance checking. Used within random_crystal\n    and molecular_crystal to verify whether atoms are too close. Stores a matrix\n    of atom-atom pair tolerances. Note that the matrix's indices correspond to\n    atomic numbers, with the 0th entries being 0 (there is no atomic number 0).\n\n    Args:\n        prototype: a string representing the type of radii to use\n            (`atomic`, `molecular`, `vdW` or `metallic`)\n        factor: a float to scale the distances by.\n        tuples: a list or tuple of tuples, which define custom tolerance values.\n            Each tuple should be of the form (specie1, specie2, value), where\n            value is the tolerance in Angstroms, and specie1 and specie2 can be\n            strings, integers, Element objects, or pymatgen Specie objects.\n            Custom values may also be set using set_tol\n    \"\"\"\n\n    def __init__(self, *tuples, prototype=\"atomic\", factor=1.0):\n        f = factor\n        self.prototype = prototype\n        if prototype == \"atomic\":\n            f *= 0.5\n            attrindex = 6\n            self.radius_type = \"covalent\"\n        elif prototype == \"molecular\":\n            attrindex = 6\n            self.radius_type = \"covalent\"\n            f *= 1.2\n        elif prototype == \"metallic\":\n            attrindex = 8\n            self.radius_type = \"metallic\"\n            f *= 0.5\n        elif prototype == \"vdW\":\n            attrindex = 7\n            self.radius_type = \"vdW\"\n        else:\n            self.radius_type = \"N/A\"\n\n        self.f = f\n        H = Element(\"H\")\n        m = [[0.0] * (len(H.elements_list) + 1)]\n        for tup1 in H.elements_list:\n            m.append([0.0])\n            for tup2 in H.elements_list:\n                # Get the appropriate atomic radii\n                val1 = tup1[6] if tup1[attrindex] is None else tup1[attrindex]\n                # FIXME this is suspicious but matches exactly the original code\n                val2 = (tup1[6] if tup2[6] is not None else None) if tup2[attrindex] is None else tup2[attrindex]\n\n                if val1 is not None and val2 is not None:\n                    m[-1].append(f * (val1 + val2))\n                else:\n                    # If no radius is found for either atom, set tolerance to None\n                    m[-1].append(None)\n        self.matrix = np.array(m)  # A symmetric matrix between specie pairs\n        self.custom_values = []  # A list of tuples storing customized pair tolerances\n\n        try:\n            for tup in tuples:\n                self.set_tol(*tup)\n        except Exception as err:\n            msg = \"Error: Cannot not set custom tolerance value(s).\\n\"\n            msg += \"All entries should be entered using the following form:\\n\"\n            msg += \"(specie1, specie2, value), where the value is in Angstrom.\"\n            raise RuntimeError(msg) from err\n\n        self.radius_list = []\n        for i in range(len(self.matrix)):\n            if i == 0:\n                continue\n            x = self.get_tol(i, i)\n            self.radius_list.append(x)\n\n    def get_tol(self, specie1, specie2):\n        \"\"\"\n        Returns the tolerance between two species.\n\n        Args:\n            specie1/2: atomic number (int or float), name (str), symbol (str),\n                an Element object, or a pymatgen Specie object\n\n        Returns:\n            the tolerance between the provided pair of atomic species\n        \"\"\"\n        if self.prototype == \"single value\":\n            return self.matrix[0][0]\n        index1 = Element.number_from_specie(specie1)\n        index2 = Element.number_from_specie(specie2)\n        if index1 is not None and index2 is not None:\n            return self.matrix[index1][index2]\n        else:\n            return None\n\n    def set_tol(self, specie1, specie2, value):\n        \"\"\"\n        Sets the distance tolerance between two species.\n\n        Args:\n            specie1/2: atomic number (int or float), name (str), symbol (str),\n                an Element object, or a pymatgen Specie object\n            value:\n                the tolerance (in Angstroms) to set to\n        \"\"\"\n        index1 = Element.number_from_specie(specie1)\n        index2 = Element.number_from_specie(specie2)\n        if index1 is None or index2 is None:\n            return\n        self.matrix[index1][index2] = float(value)\n        if index1 != index2:\n            self.matrix[index2][index1] = float(value)\n        if (index1, index2) not in self.custom_values and (\n            index2,\n            index1,\n        ) not in self.custom_values:\n            larger = max(index1, index2)\n            smaller = min(index1, index2)\n            self.custom_values.append((smaller, larger))\n\n    @classmethod\n    def from_matrix(self, matrix, prototype=\"atomic\", factor=1.0, begin_with=0):\n        \"\"\"\n        Given a tolerance matrix, returns a Tol_matrix object. Matrix indices\n        correspond to the atomic number (with 0 pointing to Hydrogen by default).\n        For atoms with atomic numbers not included in the matrix, the default\n        value (specified by prototype) will be used, up to element 96. Note that\n        if the matrix is asymmetric, only the value below the diagonal will be used.\n\n        Args:\n            matrix: a 2D matrix or list of tolerances between atomic species pairs. The\n                indices correspond to atomic species (see begin_with variable description)\n            prototype: a string representing the type of radii to use\n                (\"atomic\", \"molecular\")\n            factor: a float to scale the distances by. A smaller value means a smaller\n                tolerance for distance checking\n            begin_with: the index which points to Hydrogen within the matrix. Default 0\n\n        Returns:\n            a Tol_matrix object\n        \"\"\"\n        matrix = np.array(matrix)\n        tups = []\n        for i, row in enumerate(matrix):\n            for j, _value in enumerate(row):\n                if j > i:\n                    continue\n                tups.append((i + 1 - begin_with, j + 1 - begin_with, matrix[i][j]))\n        return Tol_matrix(*tups, prototype=prototype, factor=factor)\n\n    @classmethod\n    def from_radii(self, radius_list, prototype=\"atomic\", factor=1.0, begin_with=0):\n        \"\"\"\n        Given a list of atomic radii, returns a Tol_matrix object. For atom-atom pairs, uses\n        the average radii of the two species as the tolerance value. For atoms with atomic\n        numbers not in the radius list, the default value (specified by prototype) will be\n        used, up to element 96.\n\n        Args:\n            radius_list: a list of atomic radii (in Angstroms), beginning with Hydrogen\n            prototype: a string representing the type of radii to use\n                (\"atomic\", \"molecular\")\n            factor: a float to scale the distances by. A smaller value means a smaller\n                tolerance for distance checking\n            begin_with: the index which points to Hydrogen within the list. Default 0\n\n        Returns:\n            a Tol_matrix object\n        \"\"\"\n        tups = []\n        f = factor * 0.5\n        for i, r1 in enumerate(radius_list):\n            for j, r2 in enumerate(radius_list):\n                if j > i:\n                    continue\n                tups.append((i + 1 - begin_with, j + 1 - begin_with, f * (r1 + r2)))\n        return Tol_matrix(*tups, prototype=prototype, factor=factor)\n\n    @classmethod\n    def from_single_value(self, value):\n        \"\"\"\n        Creates a Tol_matrix which only has a single tolerance value. Using\n        `get_tol` will always return the same value.\n\n        Args:\n            value: the tolerance value to use\n\n        Returns:\n            a Tol_matrix object\n        \"\"\"\n        tm = Tol_matrix()\n        tm.prototype = \"single value\"\n        tm.matrix = np.array([[value]])\n        tm.custom_values = [(1, 1)]\n        tm.radius_type = \"N/A\"\n        return tm\n\n    def __getitem__(self, index):\n        Element.number_from_specie(index)\n        return self.matrix[index]\n\n    def __str__(self):\n        s = \"\\n--Tol_matrix class object--\"\n        s += \"\\nPrototype: \" + str(self.prototype)\n        s += \"\\nAtomic radius type: \" + str(self.radius_type)\n        s += \"\\nRadius scaling factor: \" + str(self.f)\n        if self.prototype == \"single value\":\n            s += \"\\nCustom tolerance value: \" + str(self.matrix([0][0]))\n        else:\n            if self.custom_values == []:\n                s += \"\\nCustom tolerance values: None\"\n            else:\n                s += \"\\nCustom tolerance values:\"\n                for tup in self.custom_values:\n                    name1 = str(Element(tup[0]).short_name)\n                    name2 = str(Element(tup[1]).short_name)\n                    s += f\"\\n{name1:s}-{name2:s}: {self.get_tol(tup[0], tup[1]):6.3f}\"\n        return s\n\n    def to_file(self, filename=None):\n        \"\"\"\n        Creates a file with the given filename.\n\n        Args:\n            filename: the file path\n\n        Returns:\n            Nothing. Creates a file at the specified path\n        \"\"\"\n        if filename is None: filename = \"custom_tol_matrix\"\n        # Check if filename already exists\n        # If it does, add a new number to end of filename\n        if os.path.exists(filename):\n            i = 1\n            while True:\n                outdir = filename + \"_\" + str(i)\n                if not os.path.exists(outdir):\n                    break\n                i += 1\n                if i > 10000:\n                    return \"Cannot create file: too many files already created.\"\n        else:\n            outdir = filename\n        try:\n            np.save(filename, [self])\n            return \"Output file to \" + outdir + \".npy\"\n        except:\n            return \"Error: Could not save Tol_matrix to file.\"\n\n    @classmethod\n    def from_file(self, filename):\n        try:\n            tm = np.load(filename)[0]\n            if type(tm) == Tol_matrix:\n                return tm\n            else:\n                raise RuntimeError(\"invalid file for Tol_matrix: \", filename)\n        except Exception as err:\n            raise RuntimeError(\"Cannot load Tol_matrix from\", filename) from err\n\n\nif __name__ == \"__main__\":\n    from pyxtal.molecule import pyxtal_molecule\n\n    for p in [\"atomic\", \"molecular\", \"vdW\", \"metallic\"]:\n        tm = Tol_matrix(prototype=p)\n        print(p, tm.get_tol(\"C\", \"H\"))\n        m = pyxtal_molecule(\"aspirin\", tm=tm)\n        print(m.tols_matrix)\n"
  },
  {
    "path": "pyxtal/util.py",
    "content": "\"\"\"\nsome utilities\n\"\"\"\n\nimport os\nimport re\nfrom itertools import product\nfrom typing import List, Tuple\n\nimport numpy as np\nfrom ase import Atoms\nfrom pymatgen.core.structure import Structure\nfrom pymatgen.symmetry.analyzer import SpacegroupAnalyzer as sga\nfrom spglib import get_symmetry_dataset\n\nfrom pyxtal.symmetry import Hall\n\n\ndef find_dir(dirs):\n    \"\"\"\n    A short function to find the correct dir from a list.\n    \"\"\"\n    for d in dirs:\n        if os.path.isdir(d):\n            return d\n    raise RuntimeError(\"Cannot find the dirtory for dftb parameters\")\n\n\ndef listToString(s):\n    # initialize an empty string\n    # str1 = \" \"\n    str1 = \"\"\n    # return string\n    return str1.join(s)\n\n\ndef pymatgen2ase(struc):\n    \"\"\"\n    A short cut to convert between pymatgen to ase\n    \"\"\"\n    atoms = Atoms(symbols=struc.atomic_numbers,\n                  cell=struc.lattice.matrix, pbc=True)\n    atoms.set_scaled_positions(struc.frac_coords)\n    return atoms\n\n\ndef ase2pymatgen(struc):\n    \"\"\"\n    A short cut to convert between pymatgen to ase\n    \"\"\"\n    lattice = struc.cell\n    coordinates = struc.get_scaled_positions()\n    species = struc.get_chemical_symbols()\n    return Structure(lattice, species, coordinates)\n\n\ndef symmetrize_cell(struc, mode=\"C\"):\n    \"\"\"\n    Symmetrize structure from pymatgen, and return the struc in conventional or\n    primitive setting.\n\n    Args:\n        struc: ase type\n        mode: output conventional or primitive cell\n    \"\"\"\n    P_struc = ase2pymatgen(struc)\n    finder = sga(P_struc, symprec=0.06)\n    P_struc = finder.get_conventional_standard_structure(\n    ) if mode == \"C\" else finder.get_primitive_standard_structure()\n\n    return pymatgen2ase(P_struc)\n\n\ndef good_lattice(struc, maxvec=50.0, minvec=1.2, maxang=150, minang=30):\n    \"\"\"\n    check if the lattice has a good shape.\n\n    Args:\n        struc: pyxtal structure\n    \"\"\"\n\n    para = struc.lattice.get_para(degree=True)\n    return bool(max(para[:3]) < maxvec and min(para[:3]) > minvec and max(para[3:]) < maxang and min(para[3:]) > minang)\n\n\ndef symmetrize(pmg, tol=1e-3, a_tol=5.0, style=\"pyxtal\", hn=None):\n    \"\"\"\n    Symmetrize the structure from spglib.\n\n    Args:\n        pmg: pymatgen structure\n        tol: tolerance\n        a_tol: angle tolerance\n        style: 'pyxtal' or spglib, differing in the choice of origin\n        hn: hall_number\n\n    Returns:\n        pymatgen structure with symmetrized lattice\n    \"\"\"\n    numbers = [site.species.elements[0].Z for site in pmg.sites]\n    atoms = (pmg.lattice.matrix, pmg.frac_coords, numbers)\n    dataset = get_symmetry_dataset(atoms, tol, angle_tolerance=a_tol)\n    if hn is None:\n        hn = Hall(dataset.number, style=style).hall_default\n    if hn != dataset.hall_number:\n        dataset = get_symmetry_dataset(\n            atoms, tol, angle_tolerance=a_tol, hall_number=hn)\n    cell = dataset.std_lattice\n    pos = dataset.std_positions\n    numbers = dataset.std_types\n\n    return Structure(cell, numbers, pos), hn\n\n\ndef get_symmetrized_pmg(pmg, tol=1e-3, a_tol=5.0, style=\"pyxtal\", hn=None):\n    \"\"\"\n    Get the symmetrized Pymatgen structure. A slight modification to ensure that\n    the structure adopts the standard setting according to the Interational\n    Crystallography Table.\n\n    Args:\n        pmg: input pymatgen structure\n        tol: symmetry tolerance\n        a_tol: angle tolerance\n        style: 'pyxtal' or spglib, differing in the choice of origin\n        hn: hall_number\n\n    Returns:\n        pymatgen structure with symmetrized lattice\n    \"\"\"\n\n    pmg, hn = symmetrize(pmg, tol, a_tol=a_tol, style=style, hn=hn)\n    s = sga(pmg, symprec=tol, angle_tolerance=a_tol)\n    # make sure that the coordinates are in standard setting\n    # if hn is None:\n    #    hn = Hall(s._space_group_data['number'], style=style).hall_default\n    if hn != s._space_group_data.hall_number:\n        s._space_group_data = get_symmetry_dataset(\n            s._cell, tol, angle_tolerance=a_tol, hall_number=hn)\n    return s.get_symmetrized_structure(), s.get_space_group_number()\n\n\ndef extract_ase_db(db_file, id):\n    \"\"\"\n    A short cut to extract the structural information\n    from the ase db file by row id\n    \"\"\"\n\n    import os\n    from ase.db import connect\n    from pyxtal import pyxtal\n\n    if not os.path.exists(\"output\"):\n        os.makedirs(\"output\")\n    print(\"Dumping the structures to the folder output\")\n    with connect(db_file) as db:\n        for id in ids:\n            s = db.get_atoms(id=id)\n            filename = \"output/\" + str(id) + \".vasp\"\n            s.write(filename, format=\"vasp\", direct=True, vasp5=True)\n            my = pyxtal()\n            my.from_seed(s)\n            print(my)\n\n\ndef parse_cif(filename, header=False, spg=False, eng=False, csd=False, sim=False, verbose=False):\n    \"\"\"\n    Read structures from a cif (our own format with #END)\n\n    Args:\n        filename: string\n        header: bool, whether or not return header\n        spg: bool, whether or not return the spg\n    \"\"\"\n    strings = []\n    headers = []\n    spgs = []\n    engs = []\n    csds = []\n    sims = []\n    with open(filename) as f:\n        lines = f.readlines()\n        start = None\n        end = None\n        for i in range(len(lines)):\n            if lines[i].find(\"data_\") == 0:\n                if sim:\n                    sims.append(float(lines[i].split(\":\")[-1]))\n                end = i\n                if start is not None:\n                    tmp = []\n                    for l in lines[start: end - 1]:\n                        if len(re.findall(r\"[0-9][B-C]\", l)) > 0 or len(re.findall(r\"[A-Z][0-9]\\' [0-9]\", l)) > 0:\n                            # print(l) #; import sys; sys.exit()\n                            continue\n                        tmp.append(l)\n                    cif = listToString(tmp)\n                    strings.append(cif)\n                    if verbose:\n                        if len(strings) % 100 == 0:\n                            print(f\"Read {len(strings)} structures\")\n                start = i\n                headers.append(lines[i])\n            elif lines[i].find(\"_symmetry_Int_Tables_number\") == 0:\n                spgs.append(int(lines[i].split()[-1]))\n            elif lines[i].find(\"#Energy\") == 0:\n                engs.append(float(lines[i].split()[1]))\n            elif lines[i].find(\"_database_code\") == 0:\n                tmp = lines[i].split()[-1]\n                csds.append(tmp[:-1])\n\n        # Last one\n        tmp = []\n        for l in lines[start:]:\n            if len(re.findall(r\"[0-9][B-D]\", l)) > 0 or len(re.findall(r\"[A-Z][0-9]\\' [0-9]\", l)) > 0:\n                # print(l);\n                continue\n            tmp.append(l)\n        cif = listToString(tmp)\n        strings.append(cif)\n\n    if header:\n        return strings, headers\n    elif spg:\n        return strings, spgs\n    elif eng:\n        return strings, engs\n    elif csd:\n        return strings, csds\n    elif sim:\n        return strings, sims\n    else:\n        return strings\n\n\ndef process_csd_cif(cif, remove_H=False):\n    \"\"\"\n    process cif from CSD, sometimes it contains multiple\n    e.g., C2\n    \"\"\"\n    lines = cif.split(\"\\n\")\n    tmp = []\n    for l in lines:\n        if (\n            len(re.findall(r\"[0-9][A-Z]\", l)) > 0\n            or len(re.findall(r\"[A-Z]\\?\", l)) > 0\n            or len(re.findall(r\"[0-9]\\?\", l)) > 0\n            or len(re.findall(r\"[A-Z][0-9]\\' [0-9]\", l)) > 0\n        ):\n            # len(re.findall(r\"[0-9]_[0-9]\", l))>0 or \\\n            # print(l) #; import sys; sys.exit()\n            continue\n\n        if remove_H and len(re.findall(r\" H \", l)) > 0:\n            continue\n\n        tmp.append(l + \"\\n\")\n    return listToString(tmp)\n\n\ndef get_similar_cids_from_pubchem(base, MaxRecords):\n    \"\"\"\n    Args:\n        base: PubChem CID of Starting chemical\n        MaxRecords: Number of Similar Compounds\n\n    Returns:\n        List of the CIDs of PubChem compounds similar to the base compound.\n    \"\"\"\n\n    import pubchempy as pcp\n\n    if isinstance(base, int):\n        base = str(base)\n    cids = pcp.get_compounds(\n        base, searchtype=\"similarity\", MaxRecords=MaxRecords)\n    results = []\n    for x in cids:\n        csd_codes = search_ccdc_structures(x.cid)\n        if len(csd_codes) > 0:\n            d = {\n                \"cid\": x.cid,\n                \"smiles\": x.canonical_smiles,\n                \"name\": x.iupac_name,\n                \"csd_codes\": csd_codes,\n            }\n            results.append(d)\n            print(d)\n    return results\n\n\ndef search_csd_code_by_pubchem(cid):\n    \"\"\"\n    Args:\n        cid: PubChem cid.\n\n    Returns:\n        CIDs that have CCDC crystal structure data.\n    \"\"\"\n\n    import json\n    import urllib\n\n    from monty.json import MontyDecoder\n\n    url0 = \"https://pubchem.ncbi.nlm.nih.gov/rest/pug_view/data/compound/\"\n    cid = str(cid)\n    url = url0 + cid + \"/JSON\"\n\n    try:\n        response = urllib.request.urlopen(url)\n    except urllib.error.HTTPError:\n        print(\"Problem in http connection\", url)\n        return None\n    except urllib.error.URLError:\n        print(\"Problem in parsing\", url)\n        return None\n\n    try:\n        contents = response.read()\n        if contents.decode().find(\"CCDC\") > 0:\n            data = json.loads(contents, cls=MontyDecoder)\n            if (\"Section\" in data[\"Record\"][\"Section\"][0]) & (len(data[\"Record\"][\"Section\"][0][\"Section\"]) == 3):\n                infos = data[\"Record\"][\"Section\"][0][\"Section\"][2][\"Section\"][0][\"Information\"]\n                csd_codes = [info[\"Value\"][\"StringWithMarkup\"]\n                             [0][\"String\"] for info in infos]\n    except:\n        csd_codes = []\n        print(\"Failed to parse json\", url, \"\\n\")\n\n    return csd_codes\n\n\ndef search_csd_entries_by_code(code):\n    \"\"\"\n    Args:\n        code: CSD code, e.g., ACSALA\n\n    Returns:\n        list of csd ids\n    \"\"\"\n\n    from ccdc.crystal import PackingSimilarity as PS\n    from ccdc.search import TextNumericSearch\n\n    def new_cryst(cryst, crysts, n_max):\n        spg1 = cryst.spacegroup_number_and_setting[0]\n        for ref in crysts:\n            spg2 = ref.spacegroup_number_and_setting[0]\n            if spg1 == spg2:\n                h = PS().compare(cryst, ref)\n                # print(cryst.identifier, ref.identifier, h.nmatched_molecules)\n                if h is not None and h.nmatched_molecules == n_max:\n                    return False\n        return True\n\n    n_max = PS().settings.packing_shell_size\n    query = TextNumericSearch()\n    query.add_identifier(code)\n    hits = query.search()\n    unique_crysts = []\n    for hit in hits:\n        if (hit.entry.has_3d_structure and hit.entry.pressure is None) & (new_cryst(hit.crystal, unique_crysts, n_max)):\n            unique_crysts.append(hit.crystal)\n            # print(hit.entry.identifier, hit.entry.deposition_date)\n\n    return [c.identifier for c in unique_crysts]\n\n\ndef get_struc_from__parser(p):\n    \"\"\"\n    A utility to get the pymatgen structure from the CifParser\n    Sometimes the cif structure may have repeated atom entries.\n\n    Args:\n        p: pymatgen CifParser object\n\n    Return:\n        a single pymatgen structure\n    \"\"\"\n    from collections import OrderedDict\n\n    import numpy as np\n    from pymatgen.core.periodic_table import get_el_sp\n    from pymatgen.io.cif import str2float\n    from pymatgen.util.coord import find_in_coord_list_pbc\n\n    def get_matching_coord(coord, ops, atol=1e-4):\n        keys = list(coord_to_species.keys())\n        coords = np.array(keys)\n        for op in ops:\n            c = op.operate(coord)\n            inds = find_in_coord_list_pbc(coords, c, atol=atol)\n            if len(inds):\n                return keys[inds[0]]\n        return False\n\n    for i, d in enumerate(p._cif.data.values()):\n        ops = p.get_symops(d)\n        coord_to_species = OrderedDict()\n\n        d0 = {\n            \"_atom_site_label\": [],\n            \"_atom_site_fract_x\": [],\n            \"_atom_site_fract_y\": [],\n            \"_atom_site_fract_z\": [],\n        }\n\n        for j in range(len(d[\"_atom_site_label\"])):\n            try:\n                symbol = p._parse_symbol(d[\"_atom_site_type_symbol\"][j])\n            except KeyError:\n                symbol = p._parse_symbol(d[\"_atom_site_label\"][j])\n\n            el = get_el_sp(symbol)\n            x = str2float(d[\"_atom_site_fract_x\"][j])\n            y = str2float(d[\"_atom_site_fract_y\"][j])\n            z = str2float(d[\"_atom_site_fract_z\"][j])\n\n            coord = (x, y, z)\n            match = get_matching_coord(coord, ops)\n            if not match:\n                d0[\"_atom_site_label\"].append(el)\n                d0[\"_atom_site_fract_x\"].append(str(x))\n                d0[\"_atom_site_fract_y\"].append(str(y))\n                d0[\"_atom_site_fract_z\"].append(str(z))\n                coord_to_species[coord] = el\n\n        d.data[\"_atom_site_label\"] = d0[\"_atom_site_label\"]\n        d.data[\"_atom_site_fract_x\"] = d0[\"_atom_site_fract_x\"]\n        d.data[\"_atom_site_fract_y\"] = d0[\"_atom_site_fract_y\"]\n        d.data[\"_atom_site_fract_z\"] = d0[\"_atom_site_fract_z\"]\n\n        return p._get_structure(d, primitive=False, symmetrized=False)\n    return None\n\n\ndef Kgrid(struc, Kresol=0.10, dimension=3):\n    \"\"\"\n    Assign kpoints based on the lattice.\n    \"\"\"\n    # a, b, c, alpha, beta, gamma = struc.get_cell_lengths_and_angles()\n    a, b, c, alpha, beta, gamma = struc.cell.cellpar()\n    vol = struc.get_volume()\n    dist = np.zeros(3)\n    dist[2] = np.abs(vol / (a * b * np.sin(np.radians(gamma))))\n    dist[1] = np.abs(vol / (a * c * np.sin(np.radians(beta))))\n    dist[0] = np.abs(vol / (b * c * np.sin(np.radians(alpha))))\n    Kpoints = np.ceil(1.0 / (dist * Kresol))\n    if dimension == 2:\n        Kpoints[-1] = 1\n    # print(a, b, c, alpha, beta, gamma)\n    # print(vol/(a*b*np.sin(gamma)), a*b, np.sin(gamma))\n    # print(vol/(a*c*np.sin(beta)), a*c, np.sin(beta))\n    # print(vol/(b*c*np.sin(alpha)), b*c, np.sin(alpha))\n    # print(Kpoints)\n    # import sys; sys.exit()\n    return Kpoints.astype(int)\n\n\ndef sort_by_dimer(atoms, N_mols, id=10, tol=4.0):\n    \"\"\"\n    sort the ase atoms' xyz according to dimer.\n    so far only tested on aspirin.\n\n    Args:\n        atoms: atoms object from pyxtal\n        N_mols: number of molecules\n        id: the refrence atom id\n        tol: tolerence distance to check if it is a dimer\n    \"\"\"\n\n    N_atoms = int(len(atoms) / N_mols)\n    pos = atoms.get_scaled_positions()\n    refs = pos[id: len(pos): N_atoms, :]\n    # print(refs)\n\n    # compuate the indices and shift\n    orders = []\n    shifts = []\n    while len(orders) < N_mols:\n        lefts = [i for i in range(N_mols) if i not in orders]\n        i = lefts[0]\n        orders.append(i)\n        shifts.append(np.zeros(3))\n        ref_i = refs[i]\n        good = False\n        for j in lefts[1:]:\n            ref_j = refs[j]\n            dist = ref_j - ref_i\n            shift = np.rint(dist)\n            dist -= shift\n            dist = np.linalg.norm(dist.dot(atoms.cell[:]))\n            if dist < tol:\n                orders.append(j)\n                shifts.append(shift)\n                good = True\n                break\n        if not good:\n            raise RuntimeError(\"Cannot find match on molecule\", i)\n\n        print(\"get\", i, j, dist, shift)\n\n    pos0 = atoms.get_positions()\n    pos1 = np.zeros([len(pos), 3])\n    for i, id in enumerate(orders):\n        s1, e1 = id * N_atoms, (id + 1) * N_atoms\n        s2, e2 = i * N_atoms, (i + 1) * N_atoms\n        pos1[s2:e2, :] += pos0[s1:e1, :] - shifts[i].dot(atoms.cell[:])\n\n    atoms.set_positions(pos1)\n    return atoms\n\n\ndef generate_wp_lib(\n    spg_list,\n    composition,\n    num_wp=(None, None),\n    num_fu=(None, None),\n    num_dof=(None, None),\n    N_max=1000,\n):\n    \"\"\"\n    Generate wps according to the composition constraint (e.g., SiO2)\n\n    Args;\n        spg_list: list of space group choices\n        composition: chemical compositions [1, 2]\n        num_wp: (min_wp, max_wp)\n        num_fu: (min_fu, max_fu)\n        num_dof: (min_dof, max_dof)\n\n    Returns:\n        a list of wps [spg, ([wp1, ...], ... [wp1, ...]), dof]\n    \"\"\"\n\n    from pyxtal.symmetry import Group\n\n    composition = np.array(composition, dtype=int)\n    (min_wp, max_wp) = num_wp\n    (min_fu, max_fu) = num_fu\n    (min_dof, max_dof) = num_dof\n\n    if max_wp is None:\n        max_wp = len(composition)\n    if min_wp is None:\n        min_wp = len(composition)\n    if min_dof is None:\n        min_dof = 1\n    if max_dof is None:\n        max_dof = 1000\n    # print(max_wp, min_wp)\n    wps = []\n    for sg in spg_list:\n        g = Group(sg)\n        lat_dof = g.get_lattice_dof()\n        # determine the upper and lower limit\n        if min_fu is None:\n            min_fu = max([int(len(g[-1]) / min(composition)), 1])\n        if max_fu is None:\n            max_fu = max([int(len(g[0]) / max(composition)), 1])\n        count = 0\n        for i in range(max_fu, min_fu - 1, -1):\n            letters, _, wp_ids = g.list_wyckoff_combinations(\n                composition * i, numWp=(min_wp, max_wp), Nmax=100000)\n            for _j, wp in enumerate(wp_ids):\n                wp_dofs = 0\n                num = 0\n                for wp0 in wp:\n                    for id in wp0:\n                        wp_dofs += g[id].get_dof()\n                        num += g[id].multiplicity\n                # print(sg, wp, letters[j])\n                num_dof = lat_dof + wp_dofs\n                if min_dof <= num_dof <= max_dof:\n                    wps.append((num, sg, wp, lat_dof + wp_dofs))\n                    count += 1\n            if count >= N_max:\n                break\n    return wps\n\n\ndef reset_lammps_cell(atoms0):\n    \"\"\"\n    Set the cell into lammps format.\n    \"\"\"\n    from ase.calculators.lammpslib import convert_cell\n\n    atoms = atoms0.copy()\n    mat, coord_transform = convert_cell(atoms0.cell)\n    if coord_transform is not None:\n        pos = np.dot(atoms0.positions, coord_transform.T)\n        atoms.set_cell(mat.T)\n        atoms.set_positions(pos)\n    return atoms\n\n\ndef new_struc(xtal, xtals):\n    \"\"\"\n    Check if this is a new structure.\n\n    Args:\n        xtal: input structure\n        xtals: list of reference structures\n\n    Return:\n        `None` or the id of matched structure\n    \"\"\"\n    import pymatgen.analysis.structure_matcher as sm\n\n    if xtal is None or not hasattr(xtal, \"energy\"):\n        return False\n    else:\n        eng1 = xtal.energy\n        pmg_s1 = xtal.to_pymatgen()\n        pmg_s1.remove_species(\"H\")\n        vol1 = pmg_s1.lattice.volume\n\n        for xtal2 in xtals:\n            # print(rep); print(rep2)\n            eng2 = xtal2.energy\n            if abs(eng1 - eng2) < 1e-2:\n                pmg_s2 = xtal2.to_pymatgen()\n                vol2 = pmg_s2.lattice.volume\n                if abs(vol1 - vol2) / vol1 < 5e-2:\n                    pmg_s2.remove_species(\"H\")\n                    if sm.StructureMatcher().fit(pmg_s1, pmg_s2):\n                        # print(pmg_s2); import sys; sys.exit()\n                        return False\n        return True\n\n\ndef new_struc_wo_energy(xtal, xtals, ltol=0.2, stol=0.3, angle_tol=5.0, verbose=False):\n    \"\"\"\n    check if this is a new structure\n\n    Args:\n        xtal: input structure\n        xtals: list of reference structures\n        ltol (float): Fractional length tolerance. Default is 0.2.\n        stol (float): Site tolerance. ( V / Nsites ) ** (1/3). Default is 0.3.\n        angle_tol (float): Angle tolerance in degrees. Default is 5 degrees.\n\n    Return:\n        `None` or the id of matched structure\n    \"\"\"\n    import pymatgen.analysis.structure_matcher as sm\n\n    if xtal is None:\n        return False\n    else:\n        pmg_s1 = xtal.to_pymatgen()\n        pmg_s1.remove_species(\"H\")\n        vol1 = pmg_s1.lattice.volume\n\n        for xtal2 in xtals:\n            if xtal.group.number == xtal2.group.number:\n                # print(rep); print(rep2)\n                pmg_s2 = xtal2.to_pymatgen()\n                vol2 = pmg_s2.lattice.volume\n                if abs(vol1 - vol2) / vol1 < 1e-2:\n                    pmg_s2.remove_species(\"H\")\n                    if sm.StructureMatcher(ltol, stol, angle_tol).fit(pmg_s1, pmg_s2):\n                        if verbose:\n                            print(xtal, xtal2)  # ; import sys; sys.exit()\n                        return False\n        return True\n\n\ndef split_list_by_ratio(nums, ratio):\n    \"\"\"\n    Splits a list of integers into two groups such that the sum of each group\n    satisfies a given ratio and returns all possible ways of combinations\n    tracking the indices of the numbers.\n\n    Args:\n        nums (list of int): The list of integers to split.\n        ratio (tuple of int): A tuple of the desired ratio (e.g., (1, 1) ).\n\n    Returns:\n        list of tuple: A list of tuples where each contains two lists of indices.\n                       Each pair of lists represents one possible way to split the\n                       numbers to satisfy the given ratio.\n    \"\"\"\n\n    def find_splits(i, sum1, sum2, group1, group2):\n        if i == len(nums):\n            if sum1 * ratio[1] == sum2 * ratio[0]:\n                solutions.append((group1.copy(), group2.copy()))\n            return\n\n        # Try adding the current number's index to the first group\n        group1.append(i)\n        find_splits(i + 1, sum1 + nums[i], sum2, group1, group2)\n        group1.pop()\n\n        # Try adding the current number's index to the second group\n        group2.append(i)\n        find_splits(i + 1, sum1, sum2 + nums[i], group1, group2)\n        group2.pop()\n\n    solutions = []\n    # Optional: Sorting can sometimes speed up the process\n    nums = sorted(nums, reverse=True)\n\n    find_splits(0, 0, 0, [], [])\n    return solutions\n\ndef prettify(elem):\n    \"\"\"\n    Return a pretty-printed XML string for the Element.\n    \"\"\"\n    import xml.etree.ElementTree as ET\n    from xml.dom import minidom\n\n    rough_string = ET.tostring(elem, 'utf-8')\n    reparsed = minidom.parseString(rough_string)\n    return reparsed.toprettyxml(indent=\"  \")\n\ndef get_pmg_dist(pmg1, pmg2, ltol=0.3, stol=0.3, angle_tol=5.0, scale=True):\n    \"\"\"\n    Get the rms distance between two pymatgen structures.\n    \"\"\"\n    from pymatgen.analysis.structure_matcher import StructureMatcher\n    sm = StructureMatcher(ltol=ltol, stol=stol, angle_tol=angle_tol, scale=scale)\n    match = sm.fit(pmg1, pmg2)#, symmetric==True)\n    if match:\n        return sm.get_rms_dist(pmg1, pmg2)[0]\n    else:\n        return 100.0\n\n\ndef get_wyc_from_comp(composition: int,\n                      base: List[int],\n                      upper_bounds: List[int],\n                      max_wyc=20,\n                      num_wp=(None, None),\n                      verbose=False) -> List[Tuple[int]]:\n    \"\"\"\n    Generate all valid wyc combinations for a single target value.\n\n    Args:\n        composition (int): The target value to achieve by summing the products.\n        base (List[int]): List of integers representing the base values.\n        upper_bounds (List[int]): List of upper bounds for each element in `base`.\n                                  If an element has no upper limit, use `None`.\n        max_wyc (int): Maximum number of combinations to return.\n        verbose (bool): If True, print the combinations found.\n\n    Example:\n        get_wyc_from_comp([6], [1, 2, 3], [None, 2, None])\n        # Returns: [(6, 0, 0), (4, 1, 0), (2, 2, 0), ..., etc.]\n    \"\"\"\n    solutions = []\n    free_ids = [i for i, ub in enumerate(upper_bounds) if ub is None]\n    n = len(base)\n\n    for num in composition:\n        max_counts = [\n            (upper_bounds[i] if upper_bounds[i] is not None else num // base[i])\n            for i in range(n)\n        ]\n\n        _solutions = []\n        for counts in product(*(range(m + 1) for m in max_counts)):\n            total = sum(c * b for c, b in zip(counts, base))\n            if total == num:\n                _solutions.append(counts)\n        solutions.append(_solutions)\n        #print(num, _solutions, max_counts)\n\n    total_solutions = []\n    for combo in product(*solutions):\n        valid, freedom = check_upper_bounds(combo, upper_bounds, num_wp)\n        if valid:\n            if len(total_solutions) < max_wyc:\n                total_solutions.append((combo, freedom))\n                if verbose: print(\"valid WP combo:\", combo)\n            else:\n                # if verbose: print(\"Reached max_wyc limit, stop!.\")\n                break\n    return total_solutions\n\ndef check_upper_bounds(solutions: List[Tuple[int]], upper_bounds: List[int], total_bounds: list[int]) -> bool:\n    \"\"\"\n    Check if the elementwise sum of the selected solutions respects upper bounds.\n    and if the sums use the non-None upper bounds.\n\n    Example:\n        solutions = [(6, 0, 0), (4, 1, 0), (2, 2, 0)]\n        upper_bounds = [10, 2, None]  # No upper limit for third element\n        check_upper_bounds(solutions, upper_bounds)\n        # Returns: True, since the sums are within the bounds\n    \"\"\"\n\n    n = len(upper_bounds)\n    total = [0] * n\n    for sol in solutions:\n        for i in range(n):\n            total[i] += sol[i]\n\n    min_bound = total_bounds[0]\n    max_bound = total_bounds[1]\n    if min_bound is not None and max_bound is not None:\n        total_sum = sum(total)\n        if total_sum < min_bound or total_sum > max_bound:\n            return False, False\n\n    for i in range(n):\n        if upper_bounds[i] is not None and total[i] > upper_bounds[i]:\n            return False, False\n\n    # Check if the sums use the non-None upper bounds\n    for i in range(n):\n        if upper_bounds[i] is None and total[i] > 0:\n            return True, True\n    return True, False\n\nif __name__ == \"__main__\":\n    # from argparse import ArgumentParser\n    # parser = ArgumentParser()\n    # parser.add_argument(\"-f\", dest=\"file\", help=\"path of database file\")\n    # parser.add_argument(\"-i\", dest=\"id\", help=\"index of the row\")\n\n    # options = parser.parse_args()\n    # ids = options.id\n    # ids = [int(id) for id in ids.split(\",\")] if ids.find(\",\") > 0 else [int(ids)]\n    # extract_ase_db(options.file, ids)\n    base = [48, 24, 12, 8, 6, 3, 1]\n    upper_bounds = [None, None, None, None, None, 2, 2]\n    sols = get_wyc_from_comp([15, 16, 17, 21], base, upper_bounds, verbose=True, max_wyc=1)\n    sols = get_wyc_from_comp([15, 16, 17, 21], base, upper_bounds, verbose=True, max_wyc=1, num_wp=(3, 10))\n"
  },
  {
    "path": "pyxtal/version.py",
    "content": "import importlib.metadata\n\n__version__ = importlib.metadata.version(\"pyxtal\")\n"
  },
  {
    "path": "pyxtal/viz.py",
    "content": "\"\"\"\nThis module handles visualization. Mostly powered by py3Dmol\n\"\"\"\n\n\ndef addBox(view, vecs, viewer=None):\n    pts = [\n        ([0, 0, 0], vecs[0, :]),\n        ([0, 0, 0], vecs[1, :]),\n        ([0, 0, 0], vecs[2, :]),\n        (vecs[0, :], vecs[0, :] + vecs[1, :]),\n        (vecs[0, :], vecs[0, :] + vecs[2, :]),\n        (vecs[1, :], vecs[0, :] + vecs[1, :]),\n        (vecs[1, :], vecs[2, :] + vecs[1, :]),\n        (vecs[2, :], vecs[0, :] + vecs[2, :]),\n        (vecs[2, :], vecs[1, :] + vecs[2, :]),\n        (vecs[0, :] + vecs[1, :], vecs[0, :] + vecs[1, :] + vecs[2, :]),\n        (vecs[0, :] + vecs[2, :], vecs[0, :] + vecs[1, :] + vecs[2, :]),\n        (vecs[1, :] + vecs[2, :], vecs[0, :] + vecs[1, :] + vecs[2, :]),\n    ]\n\n    for _i, pt in enumerate(pts):\n        pt1, pt2 = pt\n\n        if viewer is None:\n            view.addLine(\n                {\n                    \"start\": {\"x\": pt1[0], \"y\": pt1[1], \"z\": pt1[2]},\n                    \"end\": {\"x\": pt2[0], \"y\": pt2[1], \"z\": pt2[2]},\n                }\n            )\n        else:\n            view.addLine(\n                {\n                    \"start\": {\"x\": pt1[0], \"y\": pt1[1], \"z\": pt1[2]},\n                    \"end\": {\"x\": pt2[0], \"y\": pt2[1], \"z\": pt2[2]},\n                },\n                viewer=viewer,\n            )\n\n    # add unitcell labels\n    labels = {\"o\": [0, 0, 0], \"a\": vecs[0, :], \"b\": vecs[1, :], \"c\": vecs[2, :]}\n    for key in labels:\n        text, pos = key, labels[key]\n        if viewer is None:\n            view.addLabel(\n                text,\n                {\n                    \"position\": {\"x\": pos[0], \"y\": pos[1], \"z\": pos[2]},\n                    \"fontColor\": \"black\",\n                    \"backgroundColor\": \"white\",\n                    \"fontsize\": 12,\n                    \"backgroundOpacity\": \"0.1\",\n                },\n            )\n        else:\n            view.addLabel(\n                text,\n                {\n                    \"position\": {\"x\": pos[0], \"y\": pos[1], \"z\": pos[2]},\n                    \"fontColor\": \"black\",\n                    \"backgroundColor\": \"white\",\n                    \"fontsize\": 12,\n                    \"backgroundOpacity\": \"0.1\",\n                },\n                viewer=viewer,\n            )\n\n\ndef addlines(view, orig, axes, viewer=None):\n    for ax in axes:\n        ax += orig\n        if viewer is None:\n            view.addArrow(\n                {\n                    \"start\": {\"x\": orig[0], \"y\": orig[1], \"z\": orig[2]},\n                    \"end\": {\"x\": ax[0], \"y\": ax[1], \"z\": ax[2]},\n                }\n            )\n        else:\n            view.addArrow(\n                {\n                    \"start\": {\"x\": orig[0], \"y\": orig[1], \"z\": orig[2]},\n                    \"end\": {\"x\": ax[0], \"y\": ax[1], \"z\": ax[2]},\n                },\n                viewer=viewer,\n            )\n\n\ndef display_atomic(struc, size=(600, 300), scale=0.25, radius=0.10, supercell=(1, 1, 1), show_wp=False):\n    \"\"\"\n    display the molecular crystals generated from pyxtal. If the animation is False,\n    only dump the structure to cif and let py3Dmol display it. If animation is on,\n    show the generation of molecules in the crystal as an animation.\n\n    Args:\n        size: (width, height) in tuple\n        scale: the size of sphere\n        radius: the size of stick\n        supercell: replicate the crystal (valid only when animation is False)\n        show_wp: whether or not highlight the unique wyckoff site\n\n    Returns:\n        py3Dmol object\n    \"\"\"\n    import py3Dmol\n\n    (width, height) = size\n    view = py3Dmol.view(height=height, width=width)\n    fmt = \"xyz\" if struc.dim == 0 else \"cif\"\n\n    txt = struc.to_file(fmt=fmt)\n    view.addModel(txt, fmt, {\"doAssembly\": True, \"duplicateAssemblyAtoms\": True})\n    view.setStyle(\n        {\n            \"sphere\": {\"colorscheme\": \"Jmol\", \"scale\": scale},\n            \"stick\": {\"colorscheme\": \"Jmol\", \"radius\": radius},\n        }\n    )\n    if struc.dim != 0:\n        view.addUnitCell()\n        A, B, C = supercell\n        view.replicateUnitCell(A, B, C)\n        if show_wp:\n            view.setStyle({\"sym\": 2}, {\"sphere\": {\"scale\": scale * 1.1, \"color\": \"blue\"}})\n    return view.zoomTo()\n\n\ndef display_molecular(\n    struc,\n    size=(600, 300),\n    supercell=(1, 1, 1),\n    axis=None,\n    animation=False,\n    interval=2000,\n):\n    \"\"\"\n    display the molecular crystals generated from pyxtal. If the animation is False,\n    only dump the structure to cif and let py3Dmol display it. If animation is on,\n    show the generation of molecules in the crystal as an animation.\n\n    Args:\n        size: (width, height) in tuple\n        supercell: replicate the crystal (valid only when animation is False)\n        axis: 3-vector to reprent the rotational axis\n        animation: whether or not display the animation\n\n    Returns:\n        py3Dmol object\n    \"\"\"\n    import py3Dmol\n\n    (width, height) = size\n    view = py3Dmol.view(height=height, width=width)\n    if not animation:\n        cif = struc.to_file()\n        view.addModel(\n            cif,\n            \"cif\",\n            {\n                \"doAssembly\": True,\n                \"duplicateAssemblyAtoms\": True,\n                \"normalizeAssembly\": True,\n            },\n        )\n        view.setStyle({\"stick\": {\"colorscheme\": \"greenCarbon\"}})\n        view.addUnitCell()\n        if axis is not None:\n            site = struc.mol_sites[0]\n            for id in range(len(site.wp)):\n                mol = site.get_mol_object(id)\n                addlines(view, mol.cart_coords.mean(axis=0), [axis.copy()])\n\n        A, B, C = supercell\n        view.replicateUnitCell(A, B, C)\n    else:\n        cifs = \"\"\n        for i in range(len(struc.mol_sites[0].wp)):\n            cifs += struc.to_file(sym_num=i + 1)\n        view.addModelsAsFrames(cifs, \"cif\")\n        view.animate({\"loop\": \"forward\", \"interval\": interval})\n        view.addUnitCell()\n        view.setStyle({\"model\": 0}, {\"stick\": {\"colorscheme\": \"greenCarbon\"}})\n    return view.zoomTo()\n\n\ndef display_molecular_site(site, id=None, size=(400, 300), axis=True, ax_id=range(3), box=False):\n    \"\"\"\n    display the Wyckoff site in the molecular crystals generated from pyxtal.\n\n    Args:\n        site: pyxtal.wyckoff_site.mol_site object\n        id: list of molecules to display. If None, display all molecules in this site\n        size: (width, height) in tuple\n        axis: boolean, whether or not display the rotational axis\n        axis_label: whether or not display the unitcell axis labels\n\n    Returns:\n        py3Dmol object\n    \"\"\"\n    import py3Dmol\n\n    (width, height) = size\n    view = py3Dmol.view(height=height, width=width)\n\n    ids = range(site.wp.multiplicity) if id is None else [id]\n\n    for i in ids:\n        mol = site.get_mol_object(i)\n        cell, _, center = site.molecule.get_box_coordinates(mol.cart_coords)\n        view.addModel(mol.to(fmt=\"xyz\"), \"xyz\")\n        if axis:\n            axes = site.molecule.get_principle_axes(mol.cart_coords)\n            addlines(view, mol.cart_coords.mean(axis=0), axes.T[ax_id] * 5, viewer=(0, 1))\n        if box:\n            center_spec = {\"x\": center[0], \"y\": center[1], \"z\": center[2]}\n            w_spec = {\"x\": cell[0, 0], \"y\": cell[0, 1], \"z\": cell[0, 2]}\n            h_spec = {\"x\": cell[1, 0], \"y\": cell[1, 1], \"z\": cell[1, 2]}\n            d_spec = {\"x\": cell[2, 0], \"y\": cell[2, 1], \"z\": cell[2, 2]}\n            view.addBox(\n                {\n                    \"center\": center_spec,\n                    \"dimensions\": {\"w\": w_spec, \"h\": h_spec, \"d\": d_spec},\n                    \"color\": \"magenta\",\n                    \"alpha\": 0.5,\n                }\n            )\n\n    addBox(view, site.lattice.matrix, viewer=(0, 1))\n    view.setStyle({\"stick\": {\"colorscheme\": \"greenCarbon\"}})\n\n    return view.zoomTo()\n\n\ndef display_molecules(molecules, size=(400, 300), animation=False, center=False):\n    \"\"\"\n    display the molecules in Pymatgen object.\n\n    Args:\n        molecules: a list of pymatgen molecules\n        size: (width, height) in tuple\n        animation: whether or not display animation\n        center: highlight center or not\n\n    Returns:\n        py3Dmol object\n\n    \"\"\"\n    import py3Dmol\n\n    (width, height) = size\n    view = py3Dmol.view(height=height, width=width)\n    mol_strs = \"\"\n    for mol in molecules:\n        mol_strs += mol.to(fmt=\"xyz\") + \"\\n\"\n    if animation:\n        view.addModelsasFrames(mol_strs, \"xyz\")\n        view.animate({\"loop\": \"forward\"})\n    else:\n        view.addModels(mol_strs, \"xyz\")\n    view.setStyle({\"stick\": {\"colorscheme\": \"greenCarbon\"}})\n\n    return view.zoomTo()\n\n\ndef display_molecule(molecule, center, cell, size=(400, 300)):\n    \"\"\"\n    display the molecules in Pymatgen object.\n\n    Args:\n        mol: pymatgen molecule\n        center: molecular\n        size: (width, height) in tuple\n\n    Returns:\n        py3Dmol object\n\n    \"\"\"\n    import py3Dmol\n\n    (width, height) = size\n    view = py3Dmol.view(height=height, width=width)\n    mol_strs = \"\"\n    mol_strs += molecule.to(fmt=\"xyz\") + \"\\n\"\n    view.addModels(mol_strs, \"xyz\")\n    center_spec = {\"x\": center[0], \"y\": center[1], \"z\": center[2]}\n    w_spec = {\"x\": cell[0, 0], \"y\": cell[0, 1], \"z\": cell[0, 2]}\n    h_spec = {\"x\": cell[1, 0], \"y\": cell[1, 1], \"z\": cell[1, 2]}\n    d_spec = {\"x\": cell[2, 0], \"y\": cell[2, 1], \"z\": cell[2, 2]}\n    view.addBox(\n        {\n            \"center\": center_spec,\n            \"dimensions\": {\"w\": w_spec, \"h\": h_spec, \"d\": d_spec},\n            \"color\": \"magenta\",\n            \"opacity\": 0.4,\n            #'alpha': 0.6,\n        }\n    )\n    view.setStyle({\"stick\": {\"colorscheme\": \"greenCarbon\"}})\n\n    return view.zoomTo()\n\n\ndef display_mol_crystals(\n    strucs,\n    size=(600, 300),\n    supercell=(1, 1, 1),\n    axis=None,\n    animation=\"slider\",\n    interval=2000,\n):\n    \"\"\"\n    display the molecular crystals generated from pyxtal.\n    two modes of animations are supported: slider or movie\n\n    Args:\n        size: (width, height) in tuple\n        supercell: replicate the crystal (valid only when animation is False)\n        animation: slider or movie\n\n    Returns:\n        py3Dmol object\n    \"\"\"\n    import py3Dmol\n\n    (width, height) = size\n    view = py3Dmol.view(height=height, width=width)\n    if animation == \"slider\":\n        from ipywidgets import IntSlider, interact\n\n        def conf_viewer(idx):\n            return strucs[idx].show(size=size, supercell=supercell, axis=axis)\n\n        interact(conf_viewer, idx=IntSlider(min=0, max=len(strucs) - 1, description=\"id:\"))\n        return None\n\n    elif animation == \"movie\":\n        cifs = \"\"\n        for struc in strucs:\n            cifs += struc.to_file()\n        view.addModelsAsFrames(cifs, \"cif\")\n        view.animate({\"loop\": \"forward\", \"interval\": interval})\n        view.addUnitCell()\n        view.setStyle({\"model\": 0}, {\"stick\": {\"colorscheme\": \"greenCarbon\"}})\n        return view.zoomTo()\n    else:\n        raise ValueError(\"only movie or slider is supported\")\n\n\ndef display_crystals(strucs, size=(600, 300), supercell=(1, 1, 1), labels=None):\n    \"\"\"\n    display the molecular crystals generated from pyxtal.\n    two modes of animations are supported: slider or movie\n\n    Args:\n        size: (width, height) in tuple\n        supercell: replicate the crystal (valid only when animation is False)\n        labels: labels for each structures\n\n    Returns:\n        py3Dmol object\n    \"\"\"\n    import py3Dmol\n    from ipywidgets import IntSlider, interact\n\n    (width, height) = size\n    py3Dmol.view(height=height, width=width)\n    if labels is None:\n        _l_min, _l_max = 0, len(strucs) - 1\n    else:\n        _l_min, _l_max = labels[0], labels[-1]\n\n    def conf_viewer(idx):\n        return strucs[idx].show(size=size, supercell=supercell)\n\n    interact(conf_viewer, idx=IntSlider(min=0, max=len(strucs) - 1, description=\"id:\"))\n\n\ndef display_cluster(molecules, cell, Ps, cmap=\"YlGn\", s_opacity=0.5, size=(400, 300), style=\"sphere\"):\n    import numpy as np\n    import py3Dmol\n    from matplotlib import cm, colors\n\n    cmaps = getattr(cm, cmap)(Ps / np.mean(Ps))\n    models = {}\n\n    view = py3Dmol.view()\n    mol_str = \"\"\n    mol_str += molecules[0].to(fmt=\"xyz\") + \"\\n\"\n    view.addModel(mol_str, \"xyz\")\n    model = view.getModel()\n    model.setStyle({}, {\"sphere\": {\"colorscheme\": \"grayCarbon\", \"scale\": 0.7}})\n\n    center = molecules[0].center_of_mass\n    {\"x\": center[0], \"y\": center[1], \"z\": center[2]}\n    {\"x\": cell[0, 0], \"y\": cell[0, 1], \"z\": cell[0, 2]}\n    {\"x\": cell[1, 0], \"y\": cell[1, 1], \"z\": cell[1, 2]}\n    {\"x\": cell[2, 0], \"y\": cell[2, 1], \"z\": cell[2, 2]}\n    # view.addBox({'center': center_spec,\n    #             'dimensions': {'w': w_spec, 'h': h_spec, 'd': d_spec},\n    #             'color':'magenta',\n    #             'alpha': 0.5,\n    #             #'opacity': 0.1,\n    #            })\n    addBox(view, cell)\n\n    for i in range(1, len(molecules)):\n        mol = molecules[i]\n        mol_strs = \"\"\n        mol_strs += mol.to(fmt=\"xyz\") + \"\\n\"\n        view.addModel(mol_strs, \"xyz\")\n        model = view.getModel()\n        color = \"greenCarbon\"\n        opacity = 0.65\n        if style == \"sphere\":\n            model.setStyle({}, {\"sphere\": {\"colorscheme\": color, \"scale\": 0.5, \"opacity\": opacity}})\n        else:\n            model.setStyle({}, {\"stick\": {\"colorscheme\": color, \"radius\": 0.1, \"opacity\": opacity}})\n\n        view.addSurface(py3Dmol.VDW, {\"opacity\": s_opacity, \"color\": colors.rgb2hex(cmaps[i - 1])})\n\n    return view.zoomTo({\"model\": list(models.values())})\n"
  },
  {
    "path": "pyxtal/wyckoff_site.py",
    "content": "\"\"\"\nModule for handling Wyckoff sites for both atom and molecule\n\"\"\"\n\n# Standard Libraries\nfrom copy import deepcopy\nimport numpy as np\n\n# External Libraries\nfrom pymatgen.core import Molecule\nfrom scipy.spatial.distance import cdist\nfrom scipy.spatial.transform import Rotation as R\n\nfrom pyxtal.constants import rad\nfrom pyxtal.database.element import Element\nfrom pyxtal.lattice import Lattice\nfrom pyxtal.operations import (\n    SymmOp,\n    create_matrix,\n    distance_matrix,\n    filtered_coords,\n)\nfrom pyxtal.symmetry import Group, Wyckoff_position\nfrom pyxtal.tolerance import Tol_matrix\n\n\nclass atom_site:\n    \"\"\"\n    Class for storing atomic Wyckoff positions with a single coordinate.\n\n    Args:\n        wp: a `WP <pyxtal.symmetry.Wyckoff_position.html>` object\n        coordinate (float): a fractional (x, y, z) coordinate\n        specie (str): element name or symbol, or atomic number\n        search (bool): whether or not search generator for special WP\n    \"\"\"\n\n    def __init__(self, wp=None, coordinate=None, specie=1, search=False):\n        self.position = np.array(coordinate)\n        self.position -= np.floor(self.position)\n        self.specie = Element(specie).short_name\n        self.wp = wp\n        self.coordination = None\n\n        self._get_dof()\n        self.PBC = self.wp.PBC\n        self.multiplicity = self.wp.multiplicity\n        if search:\n            self.search_position()\n\n        self.update()\n\n    def __str__(self):\n        if not hasattr(self.wp, \"site_symm\"):\n            self.wp.get_site_symmetry()\n        s = \"{:>2s} @ [{:7.4f} {:7.4f} {:7.4f}], \".format(\n            self.specie, *self.position)\n        s += f\"WP [{self.wp.get_label()}] \"\n        if self.coordination is not None:\n            s += f\" CN [{self.coordination:2d}] \"\n        s += \"Site [{:}]\".format(self.wp.site_symm.replace(\" \", \"\"))\n\n        return s\n\n    def __repr__(self):\n        return str(self)\n\n    def copy(self):\n        \"\"\"\n        Simply copy the structure\n        \"\"\"\n\n        return deepcopy(self)\n\n    def save_dict(self):\n        return {\n            \"position\": self.position,\n            \"specie\": self.specie,\n            \"wp\": self.wp.save_dict(),\n        }\n\n    def _get_dof(self):\n        \"\"\"\n        get the number of dof for the given structures:\n        \"\"\"\n\n        self.dof = self.wp.get_dof()\n\n    def get_bounds(self):\n        \"\"\"\n        get the number of dof for the given structures:\n        \"\"\"\n        self.bounds = []\n        for i in range(self.dof):\n            self.bounds.append([0.0, 1.0])\n        return self.bounds\n\n    @classmethod\n    def load_dict(cls, dicts):\n        \"\"\"\n        load the sites from a dictionary\n        \"\"\"\n\n        position = dicts[\"position\"]\n        specie = dicts[\"specie\"]\n        if \"wp\" in dicts:\n            wp = Wyckoff_position.load_dict(dicts[\"wp\"])\n        else:\n            hn, index = dicts[\"hn\"], dicts[\"index\"]\n            wp = Wyckoff_position.from_group_and_index(\n                hn, index, use_hall=True)\n\n        return cls(wp, position, specie)\n\n    def perturbate(self, lattice, magnitude=0.1):\n        \"\"\"\n        Random perturbation of the site\n\n        Args:\n            lattice: lattice vectors\n            magnitude: the magnitude of displacement (default: 0.1 A)\n        \"\"\"\n        dis = (np.random.sample(3) - 0.5).dot(lattice)\n        dis /= np.linalg.norm(dis)\n        dis *= magnitude\n        pos = self.position + dis.dot(np.linalg.inv(lattice))\n        self.update(pos)\n\n    def search_position(self, tol=1e-3):\n        \"\"\"\n        Sometimes, the initial position is not the proper generator\n        Needs to find the proper generator\n        \"\"\"\n\n        found = False\n        if self.wp.index > 0:\n            wp0 = Group(self.wp.number, self.wp.dim)[0]\n            for coord in wp0.apply_ops(self.position):\n                coord -= np.floor(coord)\n                ans = self.wp.ops[0].operate(coord)\n                diff = coord - ans\n                diff -= np.rint(diff)\n                if np.sum(diff**2) < tol:\n                    found = True\n                    # print(found, coord, coord-ans)\n                    self.position = coord - np.floor(coord)\n                    break\n\n        if not found:\n            print(\"\\nInput xyz\", self.position)\n            print(\"Target operation\", self.wp.ops[0].as_xyz_str())\n            raise ValueError(\"Cannot generate the desried generator\")\n\n    def encode(self):\n        \"\"\"\n        transform dict to 1D vector\n        [specie, wp.index, free x, y, z]\n        \"\"\"\n        xyz = self.wp.get_free_xyzs(self.position)\n        # print(self.wp.ops[0].rotation_matrix, self.wp.get_frozen_axis(), self.wp.get_dof())\n        # print([self.specie, self.wp.index] + list(xyz))\n        return [self.specie, self.wp.index, *list(xyz)]\n\n\n    def shift_by_swap(self, swap_id):\n        \"\"\"\n        Check if a shift is needed during swap.\n\n        This may occur for special WP in the I/A/B/C/F cases.\n        For example, in space group 71 (Immm), the permutation:\n        4j(1/2,0,0.2) -> (0.2,0,1/2) -> 4f(0.7,1/2,0) \n        requires a shift of (0.5,0.5,0.5)\n\n        Args:\n            swap_id: The index of the swap operation\n\n        Returns:\n            numpy array: The required shift vector\n        \"\"\"\n        wp, shift = self.wp.swap_axis(swap_id)\n        return shift\n\n    def equivalent_set(self, tran, indices):\n        \"\"\"\n        Transform the wp to another equivalent set.\n        Needs to update both wp and positions\n\n        Args:\n            tran: affine matrix\n            indices: the list of transformed wps\n        \"\"\"\n        self.position = SymmOp(tran).operate(self.position)\n        self.position -= np.floor(self.position)\n        self.wp = self.wp.equivalent_set(\n            indices[self.wp.index])  # update the wp index\n        self.site_symm = self.wp.site_symm  # update the site symmetry\n        self.update()\n\n    def update(self, pos=None, reset_wp=False):\n        \"\"\"\n        Used to generate coords from self.position\n        \"\"\"\n\n        if pos is None:\n            pos = self.position\n        if reset_wp:\n            self.wp.ops = Group(self.wp.number)[self.wp.index].ops\n        self.coords = self.wp.apply_ops(pos)\n        self.position = self.coords[0]\n\n    def get_translations(self, pos, axis):\n        \"\"\"\n        Get the displacement towards the reference positions\n\n        Args:\n            pos: reference position (1*3 vector)\n            lattice: 3*3 matrix\n            translation:\n            axis:\n        \"\"\"\n\n        # diffs0 = pos - self.coords\n        diffs0 = self.wp.apply_ops(pos) - self.position\n        diffs = diffs0.copy()\n        diffs -= np.rint(diffs)\n        diffs[:, axis] = 0\n        return diffs0 - diffs\n\n    def get_disp(self, pos, lattice, translation):\n        \"\"\"\n        return the displacement towards the reference positions\n\n        Args:\n            pos: reference position (1*3 vector)\n            lattice: 3*3 matrix\n            translation:\n        \"\"\"\n        coords = self.wp.apply_ops(pos)\n        diffs = coords - (self.position + translation)\n        # coords = self.wp.apply_ops(self.position + translation)\n        # diffs = pos - coords\n\n        diffs -= np.rint(diffs)\n        dists = np.linalg.norm(diffs.dot(lattice), axis=1)\n        id = np.argmin(dists)\n\n        # print(\"++++\", id, dists[id], id, diffs[id], translation) #; import sys; sys.exit()\n        return diffs[id], dists[id]\n\n    def check_with_ws2(self, ws2, lattice, tol, same_group=True):\n        \"\"\"\n        Given two Wyckoff sites, checks the inter-atomic distances between them.\n\n        Args:\n            - ws2: a different WP object (will always return False if\n            two identical WS's are provided)\n            - lattice: a 3x3 cell matrix\n            - tol: tolerance value for distance checking\n            - same_group: whether or not two WS's are in the same structure.\n            Default value True reduces the calculation cost\n\n        Returns:\n            True or False\n        \"\"\"\n\n        # Ensure the PBC values are valid\n        if self.PBC != ws2.PBC:\n            raise ValueError(\"PBC values do not match between Wyckoff sites\")\n\n        # Symmetry shortcut method: check only some atoms\n        if same_group:\n            # We can either check one atom in WS1 against all WS2, or vice-versa\n            # Check which option is faster\n            if self.multiplicity > ws2.multiplicity:\n                coords1 = [self.coords[0]]\n                coords2 = ws2.coords\n            else:\n                coords1 = [ws2.coords[0]]\n                coords2 = self.coords\n            # Calculate distances\n            dm = distance_matrix(coords1, coords2, lattice, PBC=self.PBC)\n            # Check if any distances are less than the tolerance\n            return not (dm < tol).any()\n        # No symmetry method: check all atomic pairs\n        else:\n            dm = distance_matrix(\n                self.wp.coords, ws2.coords, lattice, PBC=self.PBC)\n            # Check if any distances are less than the tolerance\n            return not (dm < tol).any()\n\n    def substitute_with_single(self, ele):\n        \"\"\"\n        chemical substitution with another element\n\n        Args:\n            ele (str): e.g. 'Zn'\n        \"\"\"\n        self.specie = ele\n        return self\n\n    def substitute_with_linear(self, eles, direction, lattice):\n        \"\"\"\n        chemical substitution with another linear building block, e.g. CN\n\n        Args:\n            eles (str): e.g., ['C', 'N']\n            neighbors: two nearest neiboring atom xyz\n        \"\"\"\n        bond_length = 1.4\n        # direction = neighbors[1] - neighbors[0]\n        # direction = np.dot(direction, lattice)\n        # direction /= np.linalg.norm(direction)\n\n        # Get the fraction coordinates\n        shift = np.dot(bond_length / 2 * direction, np.linalg.inv(lattice))\n        site1 = self.copy()\n        site2 = self.copy()\n        site1.specie = eles[0]\n        site2.specie = eles[1]\n        site1.update(site1.position + shift)\n        site2.update(site2.position - shift)\n        return site1, site2\n\n    def to_mol_site(self, lattice, molecule, ori=None, reflect=False, type_id=0):\n        \"\"\"\n        Transform it to the mol_sites, i.e., to build a molecule on\n        the current WP\n        \"\"\"\n\n        if ori is None:\n            ori = [0, 0, 0]\n        dicts = {}\n        dicts[\"smile\"] = molecule.smile\n        dicts[\"type\"] = type_id\n        dicts[\"dim\"] = 3\n        dicts[\"PBC\"] = [1, 1, 1]\n        dicts[\"hn\"] = self.wp.hall_number\n        dicts[\"index\"] = self.wp.index\n        dicts[\"lattice\"] = lattice.matrix\n        dicts[\"lattice_type\"] = lattice.ltype\n        dicts[\"center\"] = self.position\n        if molecule.smile not in [\"Cl-\"]:\n            dicts[\"orientation\"] = np.array(ori)\n            dicts[\"rotor\"] = molecule.get_torsion_angles()\n            dicts[\"reflect\"] = reflect\n\n        return mol_site.from_1D_dicts(dicts)\n\n\nclass mol_site:\n    \"\"\"\n    Class for storing molecular Wyckoff positions and orientations within\n    the `molecular_crystal` class. Each `mol_site` object represents an\n    entire Wyckoff position, not necessarily a single molecule.\n    This is the molecular version of the `Wyckoff_site` class.\n\n    Attributes:\n        mol (pyxtal_molecule): A pyxtal_molecule object representing the molecule at the site.\n        position (list or array): A 3-vector representing the generating molecule's position\n                                  in fractional coordinates.\n        orientation (Orientation): An orientation object that describes the molecule's orientation.\n        wp (Wyckoff_position): A Wyckoff position object that holds symmetry information.\n        lattice (Lattice): A lattice object that defines the crystal structure's unit cell.\n        stype (int): An integer specifying the type of molecule. Default is 0.\n        symbols (list): List of atomic symbols for the atoms in the molecule.\n        numbers (list): List of atomic numbers for the atoms in the molecule.\n        PBC (list): Periodic boundary conditions inherited from the Wyckoff position.\n        radius (float): Radius of the molecule, typically used for collision detection.\n        tols_matrix (numpy array): Tolerance matrix for the molecular structure.\n\n    Args:\n        mol (pyxtal_molecule): A `pyxtal_molecule` object that describes the molecule.\n        position (list or array): The 3D fractional coordinates of mol_center in the unit cell.\n        orientation (Orientation): The orientation object describing the molecule's rotation.\n        wp (Wyckoff_position): A `Wyckoff_position` object defining the symmetry of the site.\n        lattice (Lattice, optional): The lattice of the crystal. Can be either a Lattice object\n                                     or a matrix that will be converted into a Lattice object.\n        stype (int, optional): Integer specifying the type of molecule. Default is 0.\n\n    Methods:\n        _get_dof(): Internal method to calculate the degrees of freedom (DoF) for the molecule.\n    \"\"\"\n\n    def __init__(self, mol, position, orientation, wp, lattice=None, stype=0):\n        # describe the molecule\n        self.molecule = mol\n        self.wp = wp\n        self.position = position  # fractional coordinate of molecular center\n        self.orientation = orientation  # pyxtal.molecule.orientation object\n        self._get_dof()\n        if isinstance(lattice, Lattice):\n            self.lattice = lattice\n        else:\n            self.lattice = Lattice.from_matrix(lattice)\n        self.PBC = self.wp.PBC\n        # self.mol = mol.mol # A Pymatgen molecule object\n        # [site.specie.value for site in self.mol.sites]\n        self.symbols = mol.symbols\n        self.numbers = self.molecule.mol.atomic_numbers\n        self.tols_matrix = mol.tols_matrix\n        self.radius = mol.radius\n        self.type = stype\n\n    def update_molecule(self, mol):\n        self.molecule = mol\n        self.numbers = mol.mol.atomic_numbers\n        self.symbols = mol.symbols\n        self.tols_matrix = mol.tols_matrix\n        self.radius = mol.radius\n\n    def update_orientation(self, angles):\n        # QZ: Symmetrize the angle to the compatible orientation first\n        self.orientation.r = R.from_euler(\"zxy\", angles, degrees=True)\n        self.orientation.matrix = self.orientation.r.as_matrix()\n\n    def get_min_dist(self, angle=None):\n        \"\"\"\n        Compute the minimum interatomic distance within the WP.\n\n        Returns:\n            minimum distance\n        \"\"\"\n        if angle is not None:\n            matrix = self.orientation.change_orientation(angle, update=False)\n        else:\n            matrix = self.orientation.matrix\n\n        # Get total distances\n        d0, _ = self.get_dists_auto(matrix=matrix)\n        d1, _ = self.get_dists_WP(matrix=matrix, ignore=True)\n        d_total = np.append(d0, d1, axis=0)\n\n        return d_total.min()\n\n    def optimize_orientation_by_dist(self, ori_attempts=10, verbose=False):\n        \"\"\"\n        Optimize the orientation based on the shortest distance\n        \"\"\"\n        # Set initial fun value and angle bounds\n        ang_lo, ang_hi = 0, np.pi\n        fun_lo = self.get_min_dist(ang_lo)\n        fun_hi = self.get_min_dist(ang_hi)\n        fun = fun_hi\n\n        # Refine the orientation using a bisection method\n        for _it in range(ori_attempts):\n\n            # Return as soon as a good orientation is found\n            if (fun > 0.8) and not self.short_dist():\n                break\n\n            # Compute the midpoint angle for bisection\n            ang = (ang_lo + ang_hi) / 2\n            fun = self.get_min_dist(ang)\n\n            # Update based on the function value at the midpoint\n            if fun_lo > fun_hi:\n                ang_hi, fun_hi = ang, fun\n            else:\n                ang_lo, fun_lo = ang, fun\n\n            if verbose: print(\"optimize_orientation_by_dist\", _it, ang, fun)\n\n        # Final adjustment\n        if fun > fun_hi + 1e-4:\n            self.orientation.change_orientation(ang_hi, update=True)\n            fun = fun_hi\n        elif fun > fun_lo + 1e-4:\n            self.orientation.change_orientation(ang_lo, update=True)\n            fun = fun_lo\n        else:\n            self.orientation.change_orientation(ang, update=True)\n\n        return fun\n\n    def get_energy(self, angle=None, wps=[], k1=1.0, r1=1.0, k2=2.0, k3=1.0, r2=6.0,\n                   req=2.8, r_cut=2.0, verbose=False):\n        \"\"\"\n        Compute the virtual energy based on Hbonding and repulsion\n\n        Args:\n            angle (float): rotation along a rotation axis\n            wps (list): list of wps for consideration\n        \"\"\"\n        # Set the orientation and compute the distance\n        if angle is not None:\n            matrix = self.orientation.change_orientation(angle, update=False)\n        else:\n            matrix = self.orientation.matrix\n\n        coord_ref, _ = self._get_coords_and_species(first=True, unitcell=True, matrix=matrix)\n        coord_ref = coord_ref @ self.lattice.matrix\n\n        # Get total distances\n        eng = 0\n        d0, ids_0 = self.get_dists_auto(matrix=matrix, cutoff=8.0)\n        d1, ids_1 = self.get_dists_WP(matrix=matrix, ignore=True, cutoff=8.0)\n        d_total = np.append(d0, d1, axis=0)\n        ids_total = np.append(ids_0, ids_1, axis=0)\n\n        # initialize ids dicts\n        acceptor_ids = {}; acceptor_ids[self.type] = self.molecule.active_sites[0]\n        donor_ids = {}; donor_ids[self.type] = self.molecule.active_sites[1]\n        H_ids = {}; H_ids[self.type] = self.molecule.active_sites[2]\n\n        # Extract short distances ([x, y, z, d], [mol1, mol2, atom_id1, atom_id2])\n        for wp2 in wps:\n            d2, ids_2 = self.get_dists_WP2(wp2, matrix=matrix, ignore=True, cutoff=8.0)\n            if len(d2) > 0:\n                d_total = np.append(d_total, d2, axis=0)\n                ids_total = np.append(ids_total, ids_2, axis=0)\n                if wp2.type not in donor_ids.keys():\n                    acceptor_ids[wp2.type] = wp2.molecule.active_sites[0]\n                    donor_ids[wp2.type] = wp2.molecule.active_sites[1]\n                    H_ids[wp2.type] = wp2.molecule.active_sites[2]\n\n        # Count only 1 contribution per acceptor\n        for id1 in self.molecule.active_sites[0]:\n            rA = coord_ref[id1]\n            dAD, angle, dAH = self.get_dist_angle_AD(d_total, ids_total, id1, donor_ids, H_ids, rA)\n            eng += k2 * (dAD-req) ** 2\n            eng += k3 * (angle-np.pi) ** 2\n            #print(dAD, dAH, angle)\n            if dAH < r_cut: eng -= k1 * dAH * np.exp(r_cut - dAH) - 1.0\n            if verbose:\n                print('Hbond AD', id1, dAD, dAH, np.degrees(angle), eng)\n\n        # Count only 1 contribution per donor\n        for i, id1 in enumerate(self.molecule.active_sites[1]):\n            rD = coord_ref[id1]\n            rH = coord_ref[self.molecule.active_sites[2][i]]\n\n            dAD, angle, dAH = self.get_dist_angle_DA(d_total, ids_total, id1, acceptor_ids, rD, rH)\n            eng += k2 * (dAD-req) ** 2\n            eng += k3 * (angle-np.pi) ** 2\n            if dAH < r_cut: eng -= k1 * dAH * np.exp(r_cut - dAH) - 1.0\n            #print(dAD, dAH, angle)\n            if verbose:\n                print('Hbond DA', id1, dAD, dAH, np.degrees(angle), eng)\n\n        # Count repulsion\n        ds = d_total[:, 3]\n        ds = ds[ds < r_cut]\n        eng += k1 * (ds * np.exp(r_cut - ds) - 1.0).sum()\n        #print(ds)\n        if verbose:\n            print('Repulsion', d_total[d_total < r_cut], eng)\n\n        return eng\n\n    def get_dist_angle_AD(self, d_total, ids_total, A_id, D_ids, H_ids, rA):\n        \"\"\"\n        Calculates distances/angles for H bonds between acceptor (A), donor (D), and hydrogen (H) atoms.\n\n        Args:\n            d_total (numpy.ndarray): Array containing atomic coordinates and distances\n            ids_total (numpy.ndarray): Array containing atom indices and molecule IDs\n            A_id (int): Index of the acceptor atom\n            D_ids (dict): Dictionary mapping molecule IDs to donor atom indices\n            H_ids (dict): Dictionary mapping molecule IDs to hydrogen atom indices\n            rA (numpy.ndarray): Coordinates of the acceptor atom\n\n        Returns:\n            tuple: A tuple containing three float values:\n            - dAD (float): Distance between acceptor and donor atoms\n            - angle (float): Angle between H-D and H-A vectors in radians\n            - dHA (float): Distance between hydrogen and acceptor atoms\n            If no donor atoms are found, returns (10.0, 0, 10.0)\n        \"\"\"\n\n        # Get satisfied\n        rows0 = np.where((ids_total[:, 2]==A_id))[0]\n        rows_D = []\n        rows_H = []\n        for row in rows0:\n            m2 = ids_total[row, 1]\n            if ids_total[row, 3] in D_ids[m2]:\n                rows_D.append(row)\n            elif ids_total[row, 3] in H_ids[m2]:\n                rows_H.append(row)\n\n        if len(rows_D) == 0:\n            return 10.0, 0, 10.0\n        else:\n            myid = d_total[rows_D][:, 3].argmin()\n            rD = d_total[rows_D][myid, :3]\n            dAD = d_total[rows_D][myid, 3]\n\n            # Find the shortest distance from H\n            if len(rows_H) == 0:\n                rH = rD + np.array([1, 0, 0])\n            else:\n                coords_H = d_total[rows_H]\n                myid_H = coords_H[:, 3].argmin()\n                rH = coords_H[myid_H][:3]\n\n            rHD = rD - rH\n            rHA = rA - rH\n            dHD = np.linalg.norm(rHD)\n            dHA = np.linalg.norm(rHA)\n            if abs(dAD - np.linalg.norm(rD-rA)) > 1e-3:\n                print(\"bug\", dAD, rD, rA, np.linalg.norm(rD-rA))\n                import sys; sys.exit()\n            #print('debug dHA, dHD', dHA, dHD)\n            cos = rHD @ rHA / (dHD * dHA)\n            angle = np.arccos(np.clip(cos, -1.0, 1.0))\n\n            return dAD, angle, dHA\n\n    def get_dist_angle_DA(self, d_total, ids_total, D_id, A_ids, rD, rH):\n\n        # Get satisfied\n        rows0 = np.where((ids_total[:, 2]==D_id))[0]\n        rows_A = []\n        for row in rows0:\n            m2 = ids_total[row, 1]\n            if ids_total[row, 3] in A_ids[m2]:\n                rows_A.append(row)\n\n        if len(rows_A) == 0:\n            return 10.0, 0, 10.0\n        else:\n            myid = d_total[rows_A][:, 3].argmin()\n            rA = d_total[rows_A][myid, :3]\n            dAD = d_total[rows_A][myid, 3]\n            rHD = rD - rH\n            rHA = rA - rH\n            dHA = np.linalg.norm(rHA)\n            dHD = np.linalg.norm(rHD)\n            d_min = d_total[myid, 3]\n            if abs(dAD - np.linalg.norm(rD-rA)) > 1e-3:\n                print(\"bug\", dAD, rD, rA, np.linalg.norm(rD-rA))\n                import sys; sys.exit()\n            #print('debug dHA, dHD', dHA, dHD)\n            cos = rHD @ rHA / (dHD * dHA)\n            angle = np.arccos(np.clip(cos, -1.0, 1.0))\n\n            return dAD, angle, dHA\n\n    def optimize_orientation_by_energy(self, wps=[], max_ax=20, max_ori=5, early_quit=3.0, verbose=False):\n        \"\"\"\n        Iteratively optimize the orientation with the bisection method\n        \"\"\"\n        for ax_trial in range(max_ax):\n\n            # Select axis and compute the initial fun value and angle bounds\n            # Select perpendicular????\n            self.orientation.set_axis()\n            ang_lo = 0 #self.orientation.angle\n            ang_hi = np.pi #ang_lo + np.pi\n            fun_lo = self.get_energy(wps=wps) #; print(\"call funlo\", fun_lo)\n            fun_hi = self.get_energy(ang_hi, wps=wps) #; print(\"call funhi\", fun_hi)\n            fun = fun_hi\n            #if verbose: print(\"Init\", ang_lo, fun_lo)\n\n            # Refine the orientation using a bisection method\n            for ori_trial in range(max_ori):\n\n                # Compute the midpoint angle for bisection\n                ang = (ang_lo + ang_hi) / 2\n                fun = self.get_energy(ang, wps=wps)\n                # Update based on the function value at the midpoint\n                if fun_lo < fun_hi:\n                    ang_hi, fun_hi = ang, fun\n                else:\n                    ang_lo, fun_lo = ang, fun\n                #print(\"debug\", ang_lo, ang_hi, fun_lo, fun_hi)\n            # Finally pick the best one adjustment\n            if fun > fun_hi + 1e-4:\n                self.orientation.change_orientation(ang_hi, update=True)\n                fun = fun_hi\n            elif fun > fun_lo + 1e-4:\n                self.orientation.change_orientation(ang_lo, update=True)\n                fun = fun_lo\n            else:\n                self.orientation.change_orientation(ang, update=True)\n\n            if verbose: print(f'Final {ax_trial:2d} {fun:.2f}')\n\n            if fun <= early_quit:\n                break\n\n    def cut_lattice(self, ax, cut):\n        \"\"\"\n        Cut lattice length on the given direction\n\n        Args:\n            ax (int): 0, 1, 2\n            cut (float): the cut\n        \"\"\"\n        paras = self.lattice.get_para()\n        x0 = self.position[ax]\n        x0 -= np.floor(x0)\n\n        if x0 < 0.25:\n            self.position[ax] = paras[ax] * x0 / (paras[ax]-cut)\n        elif 0.25 <= x0 <= 0.75:\n            self.position[ax] = (paras[ax] * x0 - 0.5 * cut) / (paras[ax]-cut)\n        else:\n            self.position[ax] = (paras[ax] * x0 - cut) / (paras[ax]-cut)\n        #self.lattice.update_para(ax, -cut)\n\n    def __str__(self):\n        if not hasattr(self.wp, \"site_symm\"):\n            self.wp.get_site_symmetry()\n\n        self.angles = self.orientation.r.as_euler(\"zxy\", degrees=True)\n        formula = self.molecule.mol.formula.replace(\" \", \"\")\n        s = \"{:12s} @ [{:7.4f} {:7.4f} {:7.4f}]  \".format(\n            formula, *self.position)\n        s += f\"WP [{self.wp.get_label():s}] \"\n        s += \"Site [{:}]\".format(self.wp.site_symm.replace(\" \", \"\"))\n        if len(self.molecule.mol) > 1:\n            s += \" Euler [{:6.1f} {:6.1f} {:6.1f}]\".format(*self.angles)\n\n        return s\n\n    def __repr__(self):\n        return str(self)\n\n    def _get_dof(self):\n        \"\"\"\n        get the number of dof for the given wyckoff site:\n        \"\"\"\n        dof = np.linalg.matrix_rank(self.wp.ops[0].rotation_matrix)\n        self.dof = dof + 3\n        if self.molecule.torsionlist is not None:\n            self.dof += len(self.molecule.torsionlist)\n\n    def get_bounds(self):\n        \"\"\"\n        get the number of dof for the given structures:\n        \"\"\"\n        self.bounds = []\n        dof = np.linalg.matrix_rank(self.wp.ops[0].rotation_matrix)\n        for i in range(dof):\n            self.bounds.append([0.0, 1.0])\n        self.bounds.append([-180.0, 180.0])\n        self.bounds.append([-90.0, 90.0])\n        self.bounds.append([-180.0, 180.0])\n        if self.molecule.torsionlist is not None:\n            for i in range(len(self.molecule.torsionlist)):\n                self.bounds.append([0, 180.0])\n        return self.bounds\n\n    def save_dict(self):\n        dict0 = {\n            \"position\": self.position,\n            \"wp\": self.wp.save_dict(),\n            \"molecule\": self.molecule.save_str(),\n            \"orientation\": self.orientation.save_dict(),\n            \"lattice\": self.lattice.matrix,\n            \"lattice_type\": self.lattice.ltype,\n            \"stype\": self.type,\n        }\n        if self.molecule.torsionlist is not None:\n            xyz, _ = self._get_coords_and_species(absolute=True, first=True)\n            dict0[\"rotors\"] = self.molecule.get_torsion_angles(xyz)\n\n        return dict0\n\n    @classmethod\n    def load_dict(cls, dicts):\n        \"\"\"\n        load the sites from a dictionary\n        \"\"\"\n        from pyxtal.molecule import Orientation, pyxtal_molecule\n\n        mol = pyxtal_molecule.load_str(dicts[\"molecule\"])\n        position = dicts[\"position\"]\n        orientation = Orientation.load_dict(dicts[\"orientation\"])\n        wp = Wyckoff_position.load_dict(dicts[\"wp\"])\n        lattice = Lattice.from_matrix(\n            dicts[\"lattice\"], ltype=dicts[\"lattice_type\"])\n        stype = dicts[\"stype\"]\n        return cls(mol, position, orientation, wp, lattice, stype)\n\n    def encode(self):\n        \"\"\"\n        transform dict to 1D vector\n        [wp_id, x, y, z, or1, or2, or3, rotor1, rotor2, .etc]\n        \"\"\"\n        if len(self.molecule.mol) > 1:\n            xyz, _ = self._get_coords_and_species(absolute=True, first=True)\n            # if len(xyz)==3: print(\"encode: \\n\", self.molecule.mol.cart_coords)\n            rotor = self.molecule.get_torsion_angles(xyz)\n            ori, _, reflect = self.molecule.get_orientation(xyz)\n            return [self.wp.index, *list(self.position), *list(ori), *rotor, reflect]\n        else:\n            return [self.wp.index, *list(self.position), 0]\n\n    def to_1D_dicts(self):\n        \"\"\"\n        save the wp in 1D representation\n        \"\"\"\n        xyz, _ = self._get_coords_and_species(absolute=True, first=True)\n        dict0 = {\"smile\": self.molecule.smile}\n        dict0[\"rotor\"] = self.molecule.get_torsion_angles(xyz)\n        dict0[\"orientation\"], dict0[\"rmsd\"], dict0[\"reflect\"] = self.molecule.get_orientation(\n            xyz)\n        dict0[\"rotor\"]\n        # rdkit_mol = self.molecule.rdkit_mol(self.molecule.smile)\n        # conf0 = rdkit_mol.GetConformer(0)\n        # print(self.molecule.set_torsion_angles(conf0, angs))\n        # print(\"save matrix\"); print(self.orientation.r.as_matrix())\n        # print(\"save angle\"); print(self.orientation.r.as_euler('zxy', degrees=True))\n        # print(\"angle\"); print(dict0[\"orientation\"])\n        # self.molecule.get_center(xyz)\n        dict0[\"center\"] = self.position - np.floor(self.position)\n        dict0[\"number\"] = self.wp.number\n        dict0[\"index\"] = self.wp.index\n        dict0[\"PBC\"] = self.wp.PBC\n        dict0[\"dim\"] = self.wp.dim\n        dict0[\"lattice\"] = self.lattice.matrix\n        dict0[\"lattice_type\"] = self.lattice.ltype\n\n        return dict0\n\n    @classmethod\n    def from_1D_dicts(cls, dicts):\n        from pyxtal.molecule import Orientation, pyxtal_molecule\n\n        mol = pyxtal_molecule(mol=dicts[\"smile\"] + \".smi\", fix=True)\n        if len(mol.mol) > 1:\n            if len(dicts[\"smile\"]) > 1:\n                conf = mol.rdkit_mol().GetConformer(0)\n                if dicts[\"reflect\"]:\n                    mol.set_torsion_angles(conf, dicts[\"rotor\"], False)\n                xyz = mol.set_torsion_angles(\n                    conf, dicts[\"rotor\"], dicts[\"reflect\"])\n            else:\n                # for H2O, use the standard one\n                xyz = np.array(\n                    [\n                        [-0.00111384, 0.36313718, 0.0],\n                        [-0.82498189, -0.18196256, 0.0],\n                        [0.82609573, -0.18117463, 0.0],\n                    ]\n                )\n\n            mol.reset_positions(xyz)\n            matrix = R.from_euler(\n                \"zxy\", dicts[\"orientation\"], degrees=True).as_matrix()\n            orientation = Orientation(matrix)\n        else:\n            orientation = Orientation(np.eye(3))\n\n        g = dicts[\"hn\"]\n        index = int(dicts[\"index\"])\n        dim = dicts[\"dim\"]\n        wp = Wyckoff_position.from_group_and_index(g, index, dim, dicts[\"PBC\"])\n        lattice = Lattice.from_matrix(\n            dicts[\"lattice\"], ltype=dicts[\"lattice_type\"])\n        # np.dot(dicts[\"center\"], lattice.inv_matrix)\n        position = dicts[\"center\"]\n        position, wp, _ = wp.merge(position, lattice.matrix, 0.01)\n\n        return cls(mol, position, orientation, wp, lattice)\n\n    def show(self, id=None, **kwargs):\n        \"\"\"\n        display WP on the notebook\n        \"\"\"\n        from pyxtal.viz import display_molecular_site\n\n        return display_molecular_site(self, id, **kwargs)\n\n    def _get_coords_and_species(self, absolute=False, PBC=False,\n                                first=False, unitcell=False,\n                                matrix=None):\n        \"\"\"\n        Used to generate coords and species for get_coords_and_species\n\n        Args:\n            absolute: return absolute or relative coordinates\n            PBC: whether or not to add coordinates in neighboring unit cells,\n            first: whether or not to extract the information from only the first site\n            unitcell: whether or not to move the molecular center to the unit cell\n            matrix: orientatin matrix\n\n        Returns:\n            atomic coords: a numpy array of atomic coordinates in the site\n            species: a list of atomic species for the atomic coords\n        \"\"\"\n        if matrix is None: matrix = self.orientation.matrix\n        coord0 = self.molecule.mol.cart_coords.dot(matrix.T)\n        wp_atomic_sites = []\n        wp_atomic_coords = None\n\n        for point_index, op2 in enumerate(self.wp.ops):\n            # Obtain the center in absolute coords\n            center_relative = op2.operate(self.position)\n            if unitcell:\n                center_relative -= np.floor(center_relative)\n            center_absolute = np.dot(center_relative, self.lattice.matrix)\n\n            # Rotate the molecule (Euclidean metric)\n            # op2_m = self.wp.generators_m[point_index]\n            op2_m = self.wp.get_euclidean_generator(\n                self.lattice.matrix, point_index)\n            rot = op2_m.affine_matrix[:3, :3].T\n            # NOTE=====the euclidean_generator has wrong translation vectors,\n            # but we don't care. This needs to be fixed later\n            tmp = np.dot(coord0, rot)  # + tau\n\n            # Add absolute center to molecule\n            tmp += center_absolute\n            tmp = tmp.dot(self.lattice.inv_matrix)\n            wp_atomic_coords = tmp if wp_atomic_coords is None else np.append(\n                wp_atomic_coords, tmp, axis=0)\n            wp_atomic_sites.extend(self.symbols)\n            if first:\n                break\n\n        if PBC:\n            # Filter PBC of wp_atomic_coords\n            wp_atomic_coords = filtered_coords(wp_atomic_coords, PBC=self.PBC)\n            # Add PBC copies of coords\n            m = create_matrix(PBC=self.PBC, omit=True)\n            # Move [0,0,0] PBC vector to first position in array\n            m2 = [[0, 0, 0], *list(m)]\n            new_coords = np.vstack([wp_atomic_coords + v for v in m2])\n            wp_atomic_coords = new_coords\n\n        if absolute:\n            wp_atomic_coords = wp_atomic_coords.dot(self.lattice.matrix)\n\n        return wp_atomic_coords, wp_atomic_sites\n\n    def get_coords_and_species(self, absolute=False, PBC=False, unitcell=False):\n        \"\"\"\n        Lazily generates and returns the atomic coordinate and species for the\n        Wyckoff position. Plugs the molecule into the provided orientation\n        (with angle=0), and calculates the new positions.\n\n        Args:\n            absolute: return absolute or relative coordinates\n            PBC: whether or not to add coordinates in neighboring unit cells\n            unitcell: whether or not to move the molecule center to the unit cell\n\n        Returns:\n            coords: a np array of 3-vectors.\n            species: a list of atomic symbols, e.g. ['H', 'H', 'O', 'H', 'H', 'O']\n        \"\"\"\n        return self._get_coords_and_species(absolute, PBC, unitcell=unitcell)\n\n    def perturbate(self, lattice, trans=0.1, rot=5):\n        \"\"\"\n        Random perturbation of the molecular site\n\n        Args:\n            lattice: lattice vectors\n            trans: magnitude of tranlation vectors (default: 0.1 A)\n            rot: magnitude of rotation degree (default: 5.0)\n        \"\"\"\n        dis = (np.random.sample(3) - 0.5).dot(lattice)\n        dis /= np.linalg.norm(dis)\n        dis *= trans\n        self.translate(dis, True)\n        if rot == \"random\":\n            self.orientation.change_orientation()\n        else:\n            self.orientation.change_orientation(angle=rot / 180 * np.pi)\n\n    def translate(self, disp=np.zeros(3), absolute=False):\n        \"\"\"\n        To translate the molecule\n        \"\"\"\n        disp = np.array(disp)\n        if absolute:\n            disp = disp.dot(self.lattice.inv_matrix)\n        position = self.position + disp\n        self.position = self.wp.project(position)\n\n    def rotate(self, ax_id=0, ax_vector=None, angle=180):\n        \"\"\"\n        To rotate the molecule\n        Args:\n            ax_id: the principle axis id\n            ax_vector (float): 3-vector to define the axis\n            angle (float): angle to rotate\n        \"\"\"\n        p = self.orientation.r\n\n        if ax_vector is not None:\n            ax = ax_vector / np.linalg.norm(ax_vector)\n        else:\n            xyz = self.molecule.mol.cart_coords.dot(p.as_matrix().T)\n            ax = self.molecule.get_principle_axes(xyz).T[ax_id]\n\n        q = R.from_rotvec(ax * rad * angle)\n        o = q * p\n        self.orientation.r = o\n        self.orientation.matrix = o.as_matrix()\n\n    # def is_compatible_symmetry(self, tol=0.3):\n    #    \"\"\"\n    #    Check if the molecular symmetry matches the site symmetry\n    #    \"\"\"\n    #    mol = self.molecule.mol\n    #    if len(mol) == 1 or self.wp.index==0:\n    #        return True\n    #    else:\n    #        pga = PointGroupAnalyzer(mol, tol)\n    #        for op in self.wp.symmetry_m[0]:\n    #            if not pga.is_valid_op(op):\n    #                return False\n    #        return True\n\n    def is_valid_orientation(self):\n        pass\n\n    def get_mol_object(self, id=0):\n        \"\"\"\n        make the pymatgen molecule object\n\n        Args:\n            id: the index of molecules in the given site\n\n        Returns:\n            a molecule object\n        \"\"\"\n        coord0 = self.molecule.mol.cart_coords\n        coord0 = coord0 @ self.orientation.matrix.T\n\n        # Obtain the center in absolute coords\n        if not hasattr(self.wp, \"generators\"):\n            self.wp.set_generators()\n\n        if id <= len(self.wp.generators):\n            # op = self.wp.generators[id]\n            op = self.wp.get_euclidean_generator(self.lattice.matrix, id)\n            center_relative = op.operate(self.position)\n            center_relative -= np.floor(center_relative)\n            center_absolute = np.dot(center_relative, self.lattice.matrix)\n\n            # Rotate the molecule (Euclidean metric)\n            # op_m = self.wp.generators_m[id]\n            # rot = op_m.affine_matrix[0:3][:, 0:3].T\n            # tau = op_m.affine_matrix[0:3][:, 3]\n            op0 = self.wp.get_euclidean_generator(self.lattice.matrix, id)\n            rot = op0.rotation_matrix.T\n            tmp = np.dot(coord0, rot)\n            # Add absolute center to molecule\n            tmp += center_absolute\n            return Molecule(self.symbols, tmp)\n        else:\n            raise ValueError(\"id is greater than the number of molecules\")\n\n    def show_molecule_in_box(self, id=0):\n        \"\"\"\n        display molecule with box\n\n        Args:\n            id (int): molecular id\n        \"\"\"\n        from pyxtal.viz import display_molecule\n\n        mol = self.get_mol_object(id)\n        cell, vertices, center = self.molecule.get_box_coordinates(\n            mol.cart_coords)\n        return display_molecule(mol, center, cell)\n\n    def update(self, coords=None, lattice=None, absolute=False, update_mol=True):\n        \"\"\"\n        After the geometry relaxation, the returned atomic coordinates\n        maybe rescaled to [0, 1] bound. In this case, we need to refind\n        the molecular coordinates according to the original neighbor list.\n        If the list does not change, we return the new coordinates\n        otherwise, terminate the calculation.\n\n        Args:\n            coords (float): input xyz coordinates for the given molecule\n            absolute (bool): whether the input is absolute coordinates\n            update_mol (bool): whether update the molecule (used for substitution)\n        \"\"\"\n        from pyxtal.molecule import Orientation, compare_mol_connectivity\n\n        try:\n            from openbabel import openbabel, pybel\n        except:\n            import openbabel\n            import pybel\n\n        if lattice is not None:\n            self.lattice = lattice\n\n        if coords is None:\n            coords, _ = self._get_coords_and_species(\n                absolute=False, first=True, unitcell=True)\n            absolute = False\n\n        if not absolute:\n            coords = coords.dot(self.lattice.matrix)\n\n        # mol = Molecule(self.symbols, coords-np.mean(coords, axis=0))\n        center = self.molecule.get_center(coords)\n        mol = Molecule(self.symbols, coords - center)\n\n        # Update the orientation matrix\n        match, _ = compare_mol_connectivity(mol, self.molecule.mol,\n                                            ignore_HH=True)\n        if match:\n            # position = np.mean(coords, axis=0).dot(self.lattice.inv_matrix)\n            position = center.dot(self.lattice.inv_matrix)\n            self.position = position - np.floor(position)\n            if update_mol:\n                self.orientation = Orientation(np.eye(3))\n                self.molecule.mol = mol\n            else:\n                m1 = pybel.readstring(\"xyz\", self.molecule.mol.to(\"xyz\"))\n                m2 = pybel.readstring(\"xyz\", mol.to(\"xyz\"))\n                aligner = openbabel.OBAlign(True, False)\n                aligner.SetRefMol(m1.OBMol)\n                aligner.SetTargetMol(m2.OBMol)\n                if aligner.Align():\n                    print(\"RMSD: \", aligner.GetRMSD())\n                    rot = np.zeros([3, 3])\n                    for i in range(3):\n                        for j in range(3):\n                            rot[i, j] = aligner.GetRotMatrix().Get(i, j)\n                    if abs(np.linalg.det(rot) - 1) < 1e-2:\n                        self.orientation.matrix = rot\n                        self.orientation.r = R.from_matrix(rot)\n                    else:\n                        raise ValueError(\"rotation matrix is wrong\")\n        else:\n            #import pickle\n            #with open(\"wrong.pkl\", \"wb\") as f:\n            #    pickle.dump([mol, self.molecule.mol], f)\n            mol.to(filename=\"Wrong.xyz\", fmt=\"xyz\")\n            self.molecule.mol.to(filename=\"Ref.xyz\", fmt=\"xyz\")\n            raise ValueError(\"molecular connectivity changes! Exit\")\n        # todo check if connectivty changed\n\n    def _create_matrix(self, center=False, ignore=False):\n        \"\"\"\n        Used for calculating distances in lattices with periodic boundary\n        conditions. When multiplied with a set of points, generates additional\n        points in cells adjacent to and diagonal to the original cell\n\n        Args:\n            center:\n            ignore:\n\n        Returns:\n            A numpy array of matrices which can be multiplied by a set of\n            coordinates\n        \"\"\"\n        abc = [self.lattice.a, self.lattice.b, self.lattice.c]\n\n        # QZ: This should be based on the occupation of current molecule\n        if hasattr(self, \"ijk_lists\"):\n            ijk_lists = self.ijk_lists\n        else:\n\n            def get_ijk_range(pbc, abc_val, ignore, radius):\n                if not pbc:\n                    return [0]\n                if not ignore and abc_val > 50.0 and radius < 10:\n                    return [0]\n                if abc_val < 8.5:\n                    return list(range(-3, 4))\n                return [-1, 0, 1]\n\n            ijk_lists = [get_ijk_range(\n                self.PBC[idx], abc[idx], ignore, self.radius) for idx in range(3)]\n\n        matrix = [[0, 0, 0]] if center else []\n        matrix += [\n            [i, j, k] for i in ijk_lists[0] for j in ijk_lists[1] for k in ijk_lists[2] if [i, j, k] != [0, 0, 0]\n        ]\n\n        # In case a,b,c are all greater than 20\n        if len(matrix) == 0:\n            matrix = [[1, 0, 0]]\n        return np.array(matrix, dtype=float)\n\n    def get_distances(self, coord1, coord2, m2=None, center=True, ignore=False):\n        \"\"\"\n        Compute the distance matrix between the central molecule (coord1) and\n        neighboring molecules (coord2) under the periodic boundary condition.\n\n        Args:\n            coord1 (numpy array): Fractional coordinates of the central molecule.\n                                Shape: (m1, 3), where m1 is the number of atoms\n            coord2 (numpy array): Fractional coordinates of the neighboring molecules.\n                                Shape: (N2*m2, 3), where N2 is the number of atoms\n                                and m2 is the number of atoms in each neighboring molecule.\n            m2 (int, optional): N_atoms in each neighboring molecule. If not provided,\n                                it's assumed to be equal m1.\n            center (bool, optional): If `True`, count self-image of the reference molecule\n            ignore (bool, optional): If `True`, ignores some periodic boundary conditions.\n\n        Returns:\n            distance matrix: [m1*m2*pbc, m1, m2]\n            coord2 under PBC: [pbc, m2, 3]\n        \"\"\"\n        m1 = len(coord1)\n        if m2 is None: m2 = m1\n        N2 = int(len(coord2) / m2) # Number of molecule 2\n\n        # peridoic images\n        m = self._create_matrix(center, ignore)  # PBC matrix\n        coord2 = np.vstack([coord2 + v for v in m])\n        N = N2 * len(m) # Number of PBC images\n\n        # absolute xyz\n        coord1 = coord1 @ self.lattice.matrix\n        coord2 = coord2 @ self.lattice.matrix\n\n        d = cdist(coord1, coord2)\n        d = d.reshape(m1, N, m2).transpose(1, 0, 2)\n        coord2 = coord2.reshape([N, m2, 3])\n        return d, coord2\n\n    def get_dists_auto(self, matrix=None, ignore=False, cutoff=None):\n        \"\"\"\n        Compute the distances between the periodic images\n        N: number of atoms in the molecule\n        M: number of periodic images\n\n        Args:\n            ignore (bool, optional): If `True`, ignores some periodic boundary conditions.\n            cutoff (): if not None, reduce the distance matrix\n\n        Returns:\n            a distance matrix (M, N, N)\n            list of molecular xyz (M, N, 3)\n        \"\"\"\n        coord1, _ = self._get_coords_and_species(first=True, unitcell=True, matrix=matrix)\n        ds, coords = self.get_distances(coord1, coord1, center=False, ignore=ignore)\n        if cutoff is None:\n            return ds, coords\n        else:\n            return self.extract_short_distances(ds, coords, cutoff, self.type, self.type)\n\n    def extract_short_distances(self, ds, coords, cutoff, label1, label2):\n\n        indices = np.where( ds < cutoff )\n        d1s = np.zeros((len(indices[0]), 4))\n        ids = np.zeros((len(indices[0]), 4), dtype=int)\n        for i in range(len(indices[0])):\n            m, n1, n2 = indices[0][i], indices[1][i], indices[2][i]\n            d1s[i, :3] = coords[m, n2, :]\n            d1s[i, 3] = ds[m, n1, n2]\n            ids[i] = [label1, label2, n1, n2]\n        return d1s, ids\n\n\n    def get_dists_WP(self, matrix=None, ignore=False, idx=None, cutoff=None):\n        \"\"\"\n        Compute the distances within the WP site\n\n        Returns:\n            a distance matrix (M, N, N)\n            list of molecular xyz (M, N, 3)\n        \"\"\"\n        m_length = len(self.symbols)\n        coords, _ = self._get_coords_and_species(unitcell=True, matrix=matrix)\n        coord1 = coords[:m_length]  # 1st molecular coords\n        if idx is None:\n            coord2 = coords[m_length:]\n        else:\n            coord2 = coords[m_length *(idx): m_length * (idx + 1)]\n        ds, coords = self.get_distances(coord1, coord2, ignore=ignore)\n        if cutoff is None:\n            return ds, coords\n        else:\n            return self.extract_short_distances(ds, coords, cutoff, self.type, self.type)\n\n    def get_dists_WP2(self, wp2, matrix=None, ignore=False, cutoff=None):\n        \"\"\"\n        Compute the distances w.r.t to other WP site\n\n        Returns:\n            a distance matrix (M, N, N)\n            list of molecular xyz (M, N, 3)\n        \"\"\"\n        coord1, _ = self._get_coords_and_species(first=True, unitcell=True, matrix=matrix)\n        coord2, _ = wp2._get_coords_and_species(unitcell=True)\n        ds, coords = self.get_distances(coord1, coord2, len(wp2.numbers), ignore=ignore)\n        if cutoff is None:\n            return ds, coords\n        else:\n            return self.extract_short_distances(ds, coords, cutoff, self.type, wp2.type)\n\n    def short_dist(self):\n        \"\"\"\n        Check if the atoms are too close within the WP.\n\n        Returns:\n            True or False\n        \"\"\"\n        tols_matrix = self.tols_matrix\n        # Check periodic images\n        d, _ = self.get_dists_auto()\n        if np.min(d) < np.max(tols_matrix):\n            tols = np.min(d, axis=0)\n            if (tols < tols_matrix).any():\n                return True\n\n        if self.wp.multiplicity > 1:\n            d, _ = self.get_dists_WP()\n            if np.min(d) < np.max(tols_matrix):\n                tols = np.min(d, axis=0)  # N*N matrix\n                if (tols < tols_matrix).any():\n                    return True\n\n        return False\n\n    def short_dist_with_wp2(self, wp2, tm=Tol_matrix(prototype=\"molecular\")):\n        \"\"\"\n        Check whether or not the molecules of two wp sites overlap. Uses\n        ellipsoid overlapping approximation to check.\n\n        Args:\n            wp2: the 2nd wp sites\n            tm: a Tol_matrix object (or prototype string) for distance checking\n\n        Returns:\n            True or False\n        \"\"\"\n\n        # Get coordinates for both mol_sites\n        c1, _ = self.get_coords_and_species()\n        c2, _ = wp2.get_coords_and_species()\n        m_length1 = len(self.numbers)\n        m_length2 = len(wp2.numbers)\n\n        # choose wp with bigger molecule as the center\n        if len(c2) <= len(c1):\n            coord1 = c1[:m_length1]\n            coord2 = c2  # rest molecular coords\n            tols_matrix = self.molecule.get_tols_matrix(wp2.molecule, tm)\n            m2 = m_length2\n        else:\n            coord1 = c2[:m_length2]\n            coord2 = c1\n            tols_matrix = wp2.molecule.get_tols_matrix(self.molecule, tm)\n            m2 = m_length1\n\n        # compute the distance matrix\n        d, _ = self.get_distances(\n            coord1 - np.floor(coord1), coord2 - np.floor(coord2), m2)\n        # print(\"short dist\", len(c1), len(c2), d.min())\n\n        if np.min(d) < np.max(tols_matrix):\n            tols = np.min(d, axis=0)\n            if (tols < tols_matrix).any():\n                return False\n        return True\n\n    def get_neighbors_auto(self, factor=1.1, max_d=4.0, ignore_E=True, detail=False, etol=-5e-2):\n        \"\"\"\n        Find neighboring molecules within a given distance threshold.\n\n        The function identifies neighboring molecules within PBC and computes the shortest\n        distances and (optionally) interaction energies. it returns detailed information\n        about neighboring molecule pairs, distances, and energies.\n\n        Args:\n            factor (float, optional): Scaling factor for distance (default is 1.1).\n            max_d (float, optional): Maximum distance for neighbors (default is 4.0 Å).\n            ignore_E (bool, optional): Skips energy calculations (default is `True`).\n            detail (bool, optional): Returns detailed eng, molecular pairs and\n                                     distances instead of only shortest distances.\n            etol (float, optional): Energy tolerance for filtering pairs in detailed\n                                    mode (default is -5e-2).\n\n        Returns:\n            If `detail is True`:\n                engs (list): List of interaction energies for valid molecular pairs.\n                pairs (list): List of tuples with neighbor molecules and positions.\n                dists (list): List of distances between neighboring molecular pairs.\n            If `detail is False`:\n                min_ds (list): List of shortest distances between central and neighbors.\n                neighs (list): List of neighboring molecular coordinates with PBC.\n                Ps (list): List of Wyckoff position multiplicities or translations.\n                engs (list): List of energies, if energy calculation is not skipped.\n        \"\"\"\n\n        # Compute the mol_center in Cartesian coordinate\n        position = self.position - np.floor(self.position)\n        mol_center = np.dot(position, self.lattice.matrix)\n\n        # Atomic numbers for atoms in the central molecule\n        numbers = self.molecule.mol.atomic_numbers\n\n        # Get fractional coordinates for the central molecule\n        coord1 = self._get_coords_and_species(first=True, unitcell=True)[0]\n\n        # Initialize tolerance matrix for intermolecular distances\n        tm = Tol_matrix(prototype=\"vdW\", factor=factor)\n        tols_matrix = self.molecule.get_tols_matrix(tm=tm)\n\n        # Initialize coefficient matrix for energy calculations if needed\n        coef_matrix = None\n        if not ignore_E:\n            coef_matrix = self.molecule.get_coefs_matrix()\n            if coef_matrix is not None:\n                A = coef_matrix[:, :, 0]\n                B = coef_matrix[:, :, 1]\n                C = coef_matrix[:, :, 2]\n\n        # Initialize lists for results\n        min_ds = []\n        neighs = []\n        Ps = []\n        engs = []\n        pairs = []\n        dists = []\n\n        # Find neighbors under PBC\n        d, coord2 = self.get_dists_auto(ignore=True)\n\n        # Loop through each neighboring molecule\n        for i in range(d.shape[0]):\n            if np.min(d[i]) < max_d and (d[i] < tols_matrix).any():\n                if coef_matrix is not None:\n                    if detail:\n                        eng = A * np.exp(-B * d[i]) - C / (d[i] ** 6)\n                        ids = np.where(eng < etol)\n                        for id in range(len(ids[0])):\n                            n1, n2 = numbers[ids[0][id]], numbers[ids[1][id]]\n                            if 1 not in [n1, n2]:\n                                pos = coord2[i][ids[1][id]] - mol_center\n                                pairs.append((n2, pos))\n                                engs.append(eng[ids[0][id], ids[1][id]])\n                                dists.append(d[i][ids[0][id], ids[1][id]])\n                    else:\n                        eng0 = A * np.exp(-B * d[i]) - C / (d[i] ** 6)\n                        engs.append(eng0.sum())\n                else:\n                    engs.append(None)\n                    if detail:\n                        ids = np.where(d[i] < max_d)\n                        for id in range(len(ids[0])):\n                            n1, n2 = numbers[ids[0][id]], numbers[ids[1][id]]\n                            if 1 not in [n1, n2]:\n                                pos = coord2[i][ids[1][id]] - mol_center\n                                pairs.append((n2, pos))\n                                dists.append(np.linalg.norm(pos))\n\n                tmp = d[i] / tols_matrix\n                _d = tmp[tmp < 1.0]\n                id = np.argmin(tmp.flatten())\n                d[i].flatten()[id]\n                min_ds.append(min(_d) * factor)\n                neighs.append(coord2[i])\n                Ps.append(0)\n\n        # Handle Wyckoff position multiplicities (if applicable)\n        if self.wp.multiplicity > 1:\n            for idx in range(1, self.wp.multiplicity):\n                P = 0 if self.wp.is_pure_translation(idx) else 1\n                d, coord2 = self.get_dists_WP(ignore=True, idx=idx)\n                for i in range(d.shape[0]):\n                    if np.min(d[i]) < max_d and (d[i] < tols_matrix).any():\n                        if coef_matrix is not None:\n                            if detail:\n                                eng = A * np.exp(-B * d[i]) - C / (d[i] ** 6)\n                                ids = np.where(eng < etol)\n                                for id in range(len(ids[0])):\n                                    n1, n2 = numbers[ids[0][id]\n                                                     ], numbers[ids[1][id]]\n                                    if 1 not in [n1, n2]:\n                                        pos = coord2[i][ids[1]\n                                                        [id]] - mol_center\n                                        pairs.append((n2, pos))\n                                        engs.append(\n                                            eng[ids[0][id], ids[1][id]])\n                                        dists.append(\n                                            d[i][ids[0][id], ids[1][id]])\n\n                            else:\n                                eng0 = A * np.exp(-B * d[i]) - C / (d[i] ** 6)\n                                engs.append(eng0.sum())\n                        else:\n                            engs.append(None)\n                            if detail:\n                                # print('OMMMM', d[i].min())\n                                ids = np.where(d[i] < max_d)\n                                # for id in zip(*ids):\n                                for id in range(len(ids[0])):  # zip(*ids):\n                                    n1, n2 = numbers[ids[0][id]\n                                                     ], numbers[ids[1][id]]\n                                    if 1 not in [n1, n2]:  # != [1, 1]:\n                                        pos = coord2[i][ids[1]\n                                                        [id]] - mol_center\n                                        pairs.append((n2, pos))\n                                        dists.append(np.linalg.norm(pos))\n\n                        tmp = d[i] / tols_matrix\n                        _d = tmp[tmp < 1]\n                        id = np.argmin(tmp.flatten())\n                        d[i].flatten()[id]\n                        min_ds.append(min(_d) * factor)\n                        neighs.append(coord2[i])\n                        Ps.append(P)\n\n        # Return results based on the detail flag\n        if detail:\n            return engs, pairs, dists\n        else:\n            return min_ds, neighs, Ps, engs\n\n    def get_neighbors_wp2(self, wp2, factor=1.1, max_d=4.0, ignore_E=True, detail=False, etol=-5e-2):\n        \"\"\"\n        Find the neigboring molecules from a 2nd wp site\n\n        Returns\n            min_ds: list of shortest distances\n            neighs: list of neighboring molecular xyzs\n        \"\"\"\n\n        tm = Tol_matrix(prototype=\"vdW\", factor=factor)\n        m_length1 = len(self.numbers)\n        m_length2 = len(wp2.numbers)\n\n        # Get coordinates for both mol_sites\n        c1, _ = self.get_coords_and_species()\n        c2, _ = wp2.get_coords_and_species()\n\n        coord1 = c1[:m_length1]\n        coord2 = c2  # rest molecular coords\n        tols_matrix = self.molecule.get_tols_matrix(wp2.molecule, tm)\n        coef_matrix = None\n        if not ignore_E:\n            coef_matrix = self.molecule.get_coefs_matrix(wp2.molecule)\n            if coef_matrix is not None:\n                A = coef_matrix[:, :, 0]\n                B = coef_matrix[:, :, 1]\n                C = coef_matrix[:, :, 2]\n\n        # compute the distance matrix\n        d, coord2 = self.get_distances(coord1, coord2, m_length2, ignore=True)\n        min_ds = []\n        neighs = []\n        engs = []\n        dists = []\n        pairs = []\n\n        for i in range(d.shape[0]):\n            if np.min(d[i]) < max_d and (d[i] < tols_matrix).any():\n                if coef_matrix is not None:\n                    if detail:\n                        eng = A * np.exp(-B * d[i]) - C / (d[i] ** 6)\n                        ids = np.where(eng < etol)\n                        for id in zip(*ids):\n                            tmp1, tmp2 = coord1[id[0]], coord2[i][id[1]]\n                            pairs.append((tmp1 + tmp2) / 2)\n                            engs.append(eng[id])\n                            dists.append(d[i][id])\n                    else:\n                        eng0 = A * np.exp(-B * d[i]) - C / (d[i] ** 6)\n                        engs.append(eng0.sum())\n                else:\n                    engs.append(None)\n                tmp = d[i] / tols_matrix\n                _d = tmp[tmp < 1]\n                id = np.argmin(tmp.flatten())\n                d[i].flatten()[id]\n                min_ds.append(min(_d) * factor)\n                neighs.append(coord2[i])\n\n        if detail:\n            return engs, pairs, dists\n        else:\n            return min_ds, neighs, engs\n\n    def get_ijk_lists(self, value=None):\n        \"\"\"\n        Get the occupatation in the unit cell for the generating molecule\n        This can be used to estimate the supercell size for finding neighbors\n\n        Returns\n            PBC\n        \"\"\"\n\n        # Get coordinates for both mol_sites\n        if value is None:\n            ijk_lists = []\n            c1, _ = self.get_coords_and_species(absolute=False)\n            for id in range(3):\n                if self.PBC[id]:\n                    m1 = np.min(c1[:, id])\n                    m2 = np.max(c1[:, id])\n                    max_id = int(np.ceil(2 * m2 - m1))\n                    min_id = int(np.floor(-m2))\n                    ijk_lists.append(list(range(min_id - 1, max_id + 1)))\n                else:\n                    ijk_lists.append([0])\n            self.ijk_lists = ijk_lists\n        else:\n            self.ijk_lists = value\n\n    def to_atom_site(self, specie=1):\n        \"\"\"\n        transform it to the mol_sites, i.e., to build a molecule on\n        the current WP\n        \"\"\"\n        dicts = {}\n        dicts[\"specie\"] = specie\n        dicts[\"position\"] = self.position\n        dicts[\"hn\"] = self.wp.hall_number\n        dicts[\"index\"] = self.wp.index\n        return atom_site.load_dict(dicts)\n\n\nif __name__ == \"__main__\":\n\n    from pyxtal.symmetry import Wyckoff_position as WP\n\n    wp = WP.from_group_and_letter(225, 'a')\n    coordinate = [0.25, 0.25, 0.25]\n    specie = 6\n    atom_site_instance = atom_site(wp=wp,\n                                   coordinate=coordinate,\n                                   specie=specie)\n\n    # Print the created instance\n    print(atom_site_instance)\n"
  },
  {
    "path": "pyxtal/wyckoff_split.py",
    "content": "\"\"\"\nModule to handle the split of Wyckoff positions\n\"\"\"\nfrom copy import deepcopy\nimport numpy as np\nfrom numpy.random import Generator\nfrom pymatgen.core.operations import SymmOp\nimport pyxtal.symmetry as sym\n\nclass wyckoff_split:\n    \"\"\"\n    Class for performing wyckoff split between two space groups.\n    Essentially, this code is to look for the database from the\n    international crystallographic table and find the group-subgroup\n    relations\n\n    Args:\n        G (int): 1-230, number of super space group or object\n        idx (int): index of splitting scheme, default None\n        wp1: string (\"4a\") or integer (1)\n        group_type (string): 't' or 'k'\n        elements: corresponding chemical species for each wp\n    \"\"\"\n\n    def __init__(self, G=197, idx=None, wp1=None, group_type=\"t\",\n                 elements=None, random_state=None):\n\n        if isinstance(random_state, Generator):\n            self.random_state = random_state.spawn(1)[0]\n        else:\n            self.random_state = np.random.default_rng(random_state)\n\n        if wp1 is None:\n            wp1 = [0, 1]\n        self.error = False\n        self.elements = elements\n        if type(G) in [int, np.int64]:\n            self.G = sym.Group(G)  # Group object\n        else:\n            self.G = G\n        self.group_type = group_type\n        if group_type == \"t\":\n            self.wyc = self.G.get_max_t_subgroup()\n        else:\n            self.wyc = self.G.get_max_k_subgroup()\n        id_lists = []\n        for wp in wp1:\n            if isinstance(wp, int):\n                id_lists.append(wp)\n            else:\n                id_lists.append(sym.index_from_letter(wp[-1], self.G))\n        self.wp1_indices = id_lists\n        self.wp1_lists = [self.G[id] for id in id_lists]  # a WP object\n\n        # choose a random spliting option if idx is not specified\n        if idx is None:\n            ids = list(range(len(self.wyc[\"subgroup\"])))\n            idx = self.random_state.choice(ids)\n        # print(G, idx, len(self.wyc['subgroup']))\n        H = self.wyc[\"subgroup\"][idx]\n        self.H = sym.Group(H)  # Group object\n\n        # print(G, H)\n        self.parse_wp2(idx)\n\n        # check if it is a valid split\n        # if self.G.lattice_type == self.H.lattice_type:\n        #    self.valid_split = False\n        #    for wps in self.wp2_lists:\n        #        for wp in wps:\n        #            rotation = np.array(wp[0].as_dict()['matrix'])[:3,:3]\n        #            if np.linalg.matrix_rank(rotation) > 0:\n        #                self.valid_split = True\n        #                break\n        # else:\n        self.valid_split = True\n\n        # if self.valid_split:\n        self.G1_orbits = []\n        self.G2_orbits = []\n        self.H_orbits = []\n        for i, wp1 in enumerate(self.wp1_lists):\n            self.counter = 0\n            self.current_wp1_size = len(wp1)\n            self.H_orbits.append([wp2.ops for wp2 in self.wp2_lists[i]])\n            if group_type == \"t\":\n                G1_orbits, G2_orbits = self.split_t(wp1, self.wp2_lists[i])\n            else:\n                G1_orbits, G2_orbits = self.split_k(wp1, self.wp2_lists[i])\n            self.G1_orbits.append(G1_orbits)\n            self.G2_orbits.append(G2_orbits)\n            # self.patch()\n\n    def sort(self):\n        \"\"\"\n        Sort the orbits by multiplicity\n        This is a utility for the use of supergroup search\n        \"\"\"\n        muls = np.array([wp1.multiplicity for wp1 in self.wp1_lists])\n        ids = np.argsort(muls)\n        self.wp1_lists = [self.wp1_lists[id] for id in ids]\n        self.wp2_lists = [self.wp2_lists[id] for id in ids]\n        self.G1_orbits = [self.G1_orbits[id] for id in ids]\n        self.G2_orbits = [self.G2_orbits[id] for id in ids]\n        self.H_orbits = [self.H_orbits[id] for id in ids]\n        self.elements = [self.elements[id] for id in ids]\n\n    def parse_wp2(self, idx):\n        \"\"\"\n        query the wp2 and transformation matrix from the given {G, H, wp1}\n        \"\"\"\n        # print(self.wyc['transformation'])\n        # subgroup_relations.reverse()\n        trans = self.wyc[\"transformation\"][idx]  # ; print(\"trans\", trans)\n        subgroup_relations = self.wyc[\"relations\"][idx]  # ; print('subgroup_relations', subgroup_relations)\n        subgroup_relations = list(reversed(subgroup_relations))\n\n        self.R = np.zeros([4, 4])\n        self.R[:3, :3] += trans[:3, :3]\n        self.R[3, 3] = 1\n        self.inv_R = np.linalg.inv(self.R)\n        inv_t = np.dot(self.inv_R[:3, :3], trans[:, 3].T)\n        self.inv_R[:3, 3] = -1 * inv_t.T\n        self.R[:3, 3] = trans[:3, 3]\n        self.multi = np.linalg.det(self.R[:3, :3])\n\n        wp2_lists = []\n        for wp1_index in self.wp1_indices:\n            wp2_list = []\n            for letter in subgroup_relations[wp1_index]:\n                # if letter == '4a': letter = '8c'\n                id = sym.index_from_letter(letter[-1], self.H)\n                wp2_list.append(self.H[id])\n            wp2_lists.append(wp2_list)\n        self.wp2_lists = wp2_lists\n        self.index = self.wyc[\"index\"][idx]\n        self.cosets = self.wyc[\"cosets\"][idx]\n        # import sys; sys.exit()\n\n    def split_t(self, wp1, wp2_lists, quadrant=None):\n        \"\"\"\n        split the generators in w1 to different w2s for t-subgroup\n        \"\"\"\n        if self.counter == 0:\n            self.proper_wp1 = []\n            [self.proper_wp1.append(np.array(x.as_dict()[\"matrix\"])) for x in wp1]\n            self.original_tau_list = [x[:3, 3] for x in self.proper_wp1]\n            for k, _x in enumerate(self.original_tau_list):\n                for j in range(3):\n                    self.original_tau_list[k][j] = self.original_tau_list[k][j] % 1\n                self.original_tau_list[k] = self.original_tau_list[k].round(4)\n            for k, _x in enumerate(self.proper_wp1):\n                self.proper_wp1[k][:3, 3] = self.original_tau_list[k]\n                self.proper_wp1[k] = SymmOp(self.proper_wp1[k])\n\n        wp1_generators_visited = []\n        wp1_generators = [np.array(wp.as_dict()[\"matrix\"]) for wp in wp1]\n\n        G1_orbits = []\n        G2_orbits = []\n        factor = max([1, np.linalg.det(self.R)])\n\n        if quadrant is None:\n            quadrant = deepcopy(self.inv_R[:3, 3])\n            quadrant[np.abs(quadrant) < 1e-5] = 0\n            for i in range(3):\n                if quadrant[i] >= 0:\n                    quadrant[i] = 1\n                else:\n                    quadrant[i] = -1\n        for wp2 in wp2_lists:\n            for gen in wp1_generators:\n                good_generator = False\n                trans_generator = np.matmul(self.inv_R, gen)\n                trans_generator[np.abs(trans_generator) < 1e-5] = 0\n\n                for i in range(3):\n                    trans_generator[i][3] = trans_generator[i][3] % quadrant[i]\n                    if trans_generator[i][3] == 0 and quadrant[i] == -1:\n                        trans_generator[i][3] = -1\n\n                g1_orbits = []\n                g2_orbits = []\n\n                for i, wp in enumerate(wp2):\n                    new_basis_orbit = np.matmul(wp.as_dict()[\"matrix\"], trans_generator)\n                    new_basis_orbit[np.abs(new_basis_orbit) < 1e-5] = 0\n                    for j in range(3):\n                        new_basis_orbit[j, 3] = new_basis_orbit[j, 3] % quadrant[j]\n                        if new_basis_orbit[j, 3] == 0 and quadrant[j] == -1:\n                            new_basis_orbit[j, 3] = -1\n\n                    old_basis_orbit = np.matmul(self.R, new_basis_orbit)\n                    old_basis_orbit[np.abs(old_basis_orbit) < 1e-5] = 0\n                    old_basis_orbit[np.abs(old_basis_orbit - 1) < 1e-5] = 1\n                    old_basis_orbit[np.abs(old_basis_orbit + 1) < 1e-5] = -1\n                    tmp = deepcopy(old_basis_orbit)\n                    tmp[3, :] = [0, 0, 0, 1]\n                    # print(\n                    #     \"tracking wp2 orbit\",\n                    #     i,\n                    #     \"newbasisorbit\",\n                    #     SymmOp(new_basis_orbit).as_xyz_str(),\n                    #     \"oldbasisorbit\",\n                    #     SymmOp(old_basis_orbit).as_xyz_str(),\n                    #     \"chosenwyckoff\",\n                    #     wp.as_xyz_str(),\n                    # )\n                    # print('transgenerator',SymmOp(trans_generator).as_xyz_str())\n                    if i == 0:\n                        truth = True\n                        if self.counter != 0:\n                            tau = tmp[:3, 3]\n                            for j in range(3):\n                                tau[j] = tau[j] % 1\n                            tau = tau.round(4)\n                            temporary = deepcopy(tmp)\n                            temporary[:3, 3] = tau\n                            temporary = SymmOp(temporary)\n                            truth = any(temporary == x for x in self.proper_wp1)\n                        # print('current gen',SymmOp(gen).as_xyz_str())\n                        # print('current new_basis_orbit',SymmOp(new_basis_orbit).as_xyz_str())\n                        # print('current state wp2 orbit',wp.as_xyz_str())\n                        # print('wp1generated')\n                        # [print(SymmOp(x).as_xyz_str()) for x in wp1_generators_visited]\n                        # print('not in wp1 visited',not in_lists(tmp, wp1_generators_visited))\n                        # print('in wp1 generators',in_lists(tmp, wp1_generators))\n                        if not in_lists(tmp, wp1_generators_visited) and in_lists(tmp, wp1_generators) and truth:\n                            good_generator = True\n                        else:\n                            break\n                    # to consider PBC\n                    # print(SymmOp(old_basis_orbit).as_xyz_str(),'   ',SymmOp(new_basis_orbit).as_xyz_str(),'    ',wp.as_xyz_str())\n                    g1_orbits.append(old_basis_orbit)\n                    if self.counter >= 1 and in_lists(new_basis_orbit, g2_orbits):\n                        good_generator = False\n                        break\n                    g2_orbits.append(new_basis_orbit)\n\n                if good_generator:\n                    temp = []\n                    for gen in g1_orbits:\n                        if not in_lists(gen, temp, PBC=False):\n                            temp.append(gen)\n                    if int(len(temp) * factor) >= len(wp2):\n                        wp1_generators_visited.extend(temp)\n                        g1_orbits = [SymmOp(orbit) for orbit in g1_orbits]\n                        g2_orbits = [SymmOp(orbit) for orbit in g2_orbits]\n                        # print('G1=')\n                        # [print(x.as_xyz_str()) for x in g1_orbits]\n                        # print('G2=')\n                        # [print(x.as_xyz_str()) for x in g2_orbits]\n                        G1_orbits.append(g1_orbits)\n                        G2_orbits.append(g2_orbits)\n\n                        break\n            try:\n                self.check_orbits(g1_orbits, wp2, wp2_lists)\n            except:\n                if self.counter != 0:\n                    quadrants = [\n                        [1, 1, 1],\n                        [1, 1, -1],\n                        [1, -1, 1],\n                        [1, -1, -1],\n                        [-1, 1, 1],\n                        [-1, 1, -1],\n                        [-1, -1, 1],\n                        [-1, -1, -1],\n                    ]\n                    quadrant = quadrants[self.counter - 1]\n                wp1_generators = wp1_generators[: self.current_wp1_size]\n                wp2_translations = []\n                for wp2 in wp2_lists:\n                    wp = [np.array(x.as_dict()[\"matrix\"]) for x in wp2]\n                    rot = [x[:3, :3] for x in wp]\n                    tau = [x[:3, 3] for x in wp]\n                    translations = [np.array(tau[i]) for i, x in enumerate(rot) if np.array_equal(x, rot[0])]\n                    translations = [x - translations[0] for x in translations]\n                    wp2_translations.append(translations)\n                new_wp1 = []\n                for translation_set in wp2_translations:\n                    for translation in translation_set:\n                        for gen in wp1_generators:\n                            orbit = np.matmul(self.inv_R, gen)\n                            orbit[np.abs(orbit) < 1e-5] = 0\n                            orbit[np.abs(orbit - 1) < 1e-5] = 1\n                            orbit[np.abs(orbit + 1) < 1e-5] = -1\n\n                            for i in range(3):\n                                if quadrant[i] == 1:\n                                    orbit[i][3] += (translation[i]) % 1\n                                    orbit[i][3] = orbit[i][3] % 1\n                                else:\n                                    orbit[i][3] += (translation[i]) % -1\n                                    orbit[np.abs(orbit) < 1e-5] = 0\n                                    orbit[np.abs(orbit - 1) < 1e-5] = 1\n                                    orbit[np.abs(orbit + 1) < 1e-5] = -1\n                                    if orbit[i][3] == 0:\n                                        orbit[i][3] = -1\n                                    elif orbit[i][3] != -1:\n                                        orbit[i][3] = orbit[i][3] % -1\n                            orbit = np.matmul(self.R, orbit)\n                            orbit[np.abs(orbit) < 1e-5] = 0\n                            orbit[np.abs(orbit - 1) < 1e-5] = 1\n                            orbit[np.abs(orbit + 1) < 1e-5] = -1\n                            orbit = SymmOp(orbit)\n\n                            if orbit not in new_wp1:\n                                new_wp1.append(orbit)\n                self.counter += 1\n                if self.counter == 5:\n                    self.valid_split = False\n                    self.error = True\n                    return None, None\n                return self.split_t(new_wp1, wp2_lists, quadrant=quadrant)\n        return G1_orbits, G2_orbits\n\n    def split_k(self, wp1, wp2_lists, tol=1e-5):\n        \"\"\"\n        split the generators in w1 to different w2s for k-subgroup\n        \"\"\"\n\n        wp1_generators = [np.array(wp.as_dict()[\"matrix\"]) for wp in wp1]\n\n        G1_orbits = []\n        G2_orbits = []\n        quadrant = deepcopy(self.inv_R[:3, 3])\n        quadrant[np.abs(quadrant) < tol] = 0  # finds the orientation of the subgroup_basis\n\n        for i in range(3):\n            if quadrant[i] >= 0:\n                quadrant[i] = 1\n            else:\n                quadrant[i] = -1\n\n        all_g2_orbits = []\n        translations = self.translation_generator()\n\n        # the translation generator provides all the possible ways to translate\n        # the starting positions, then they are shifted\n        for translation in translations:\n            for gen in wp1_generators:  # into the proper orientation\n                orbit = np.matmul(self.inv_R, gen)\n                orbit[np.abs(orbit) < tol] = 0\n                orbit[np.abs(orbit - 1) < tol] = 1\n                orbit[np.abs(orbit + 1) < tol] = -1\n                for i in range(3):\n                    if quadrant[i] == 1:\n                        orbit[i][3] += translation[i]\n                        orbit[i][3] = orbit[i][3] % 1\n                        if np.abs(orbit[i][3] - 1) < tol:\n                            orbit[i][3] = 0\n                    else:\n                        orbit[i][3] += (translation[i]) % -1\n                        orbit[i][3] = orbit[i][3] % -1\n                        if np.abs(orbit[i][3]) < tol:\n                            orbit[i][3] = -1\n                all_g2_orbits.append(orbit)\n\n        for wp2 in wp2_lists:\n            # final_G2=[]\n            temp = np.array(deepcopy(all_g2_orbits))\n            temp[np.abs(temp) < tol] = 0\n            temp = temp.tolist()\n\n            for j, x in enumerate(temp):\n                temp[j] = SymmOp(x)\n\n            for orbit in temp:\n                try_match = np.array([np.matmul(x.as_dict()[\"matrix\"], orbit.as_dict()[\"matrix\"]) for x in wp2])\n                try_match[np.abs(try_match) < tol] = 0\n                try_match[np.abs(try_match - 1) < tol] = 1\n                try_match[np.abs(try_match + 1) < tol] = -1\n\n                # print('\\norbit\\n', orbit)\n                # print('\\ntry_match\\n', try_match)\n\n                for j in range(len(try_match)):\n                    for k in range(3):\n                        try_match[j][k][3] = try_match[j][k][3] % quadrant[k]\n                        if try_match[j][k][3] == 0 and quadrant[k] == -1:\n                            try_match[j][k][3] = -1\n                try_match = try_match.tolist()\n\n                for j, x in enumerate(try_match):\n                    try_match[j] = SymmOp(x)\n\n                if np.any([try_match.count(x) > 1 for x in try_match]):\n                    continue\n\n                try:\n                    corresponding_positions = [temp.index(x) for x in try_match]\n                except:\n                    continue\n\n                for index in sorted(corresponding_positions, reverse=True):\n                    del all_g2_orbits[index]\n                G2_orbits.append(try_match)\n                break\n\n        for position in G2_orbits:\n            final_G1 = []\n            for orbit in position:\n                final_G1.append(SymmOp(np.matmul(self.R, orbit.as_dict()[\"matrix\"])))\n            G1_orbits.append(final_G1)\n\n        if len(G1_orbits) != len(wp2_lists):\n            print(\"wp2_lists\", wp2_lists)\n            print(\"G1_orbits\", G1_orbits)\n            print(\"G2_orbits\", G2_orbits)\n            raise ValueError(\"inconsistent G1_orbits and wp2_lists\")\n        else:\n            return G1_orbits, G2_orbits\n\n    def translation_generator(self):\n        \"\"\"\n        a function to handle the translation during lattice transformation\n        \"\"\"\n        modulo = round(np.linalg.det(self.R[:3, :3]))\n        inv_rotation = np.array(self.inv_R[:3, :3]) * modulo\n        subgroup_basis_vectors = (np.rint(inv_rotation.transpose()).astype(int) % modulo).tolist()\n\n        # remove the [0,0,0] vectors\n        translations = [x for x in subgroup_basis_vectors if x != [0, 0, 0]]\n\n        # find the independent vectors\n        if len(translations) == 0:\n            independent_vectors = [[0, 0, 0]]\n        elif len(translations) == 1:\n            independent_vectors = translations\n        elif len(translations) == 2:\n            norm = round(np.linalg.norm(translations[0]) * np.linalg.norm(translations[1]))\n            inner_product = np.inner(translations[0], translations[1])\n            difference = norm - inner_product\n            independent_vectors = [translations[0]] if difference == 0.0 else translations\n        else:\n            norms = np.rint(\n                [\n                    np.linalg.norm(translations[i]) * np.linalg.norm(translations[j])\n                    for i in range(2)\n                    for j in range(i + 1, 3)\n                ]\n            )\n            inner_products = np.array(\n                [np.inner(translations[i], translations[j]) for i in range(2) for j in range(i + 1, 3)]\n            )\n            differences = inner_products - norms\n            independent_vectors = [translations[0]]\n            if differences[0] != 0.0 and differences[1] == 0.0:\n                independent_vectors.append(translations[1])\n            elif differences[0] == 0.0 and differences[1] != 0.0:\n                independent_vectors.append(translations[2])\n            elif differences[0] != 0.0 and differences[1] != 0.0 and differences[2] != 0.0:\n                independent_vectors.append(translations[1])\n                independent_vectors.append(translations[2])\n            elif differences[0] != 0.0 and differences[1] != 0.0 and differences[2] == 0.0:\n                independent_vectors.append(translations[1])\n\n        # generate all possible combinations of the independent vectors\n        l = len(independent_vectors)\n        independent_vectors = np.array(independent_vectors)\n        possible_combos = []\n        final_translation_list = []\n\n        for i in range(self.index**l):\n            possible_combos.append(np.base_repr(i, self.index, padding=l)[-l:])\n        for combo in possible_combos:\n            combo = np.array([int(x) for x in combo])\n            vector = np.array([0.0, 0.0, 0.0])\n            for i, scalar in enumerate(combo):\n                vector += scalar * independent_vectors[i]\n            vector = (vector % modulo / modulo).tolist()\n            if vector not in final_translation_list:\n                final_translation_list.append(vector)\n\n        return final_translation_list\n\n    def check_orbits(self, g1_orbits, wp2, wp2_lists):\n        if len(g1_orbits) < len(wp2):\n            s2 = \"\"\n            for wp2 in wp2_lists:\n                s2 += wp2.get_label()\n                s2 += \", \"\n            # g, h = self.G.number, self.H.number\n            # print(\"Error between {:d}[{:s}] -> {:d}[{:s}]\".format(g, s1, h, s2))\n            # print(self.R)\n            # print(g1_orbits)\n            # import sys; sys.exit()\n            raise ValueError(\"Cannot find the generator for wp2\")\n\n    def __str__(self):\n        s = f\"Wycokff split from {self.G.number:d} to {self.H.number:d}\\n\"\n        for i, wp1 in enumerate(self.wp1_lists):\n            s += f\"\\n{wp1.get_label():s} -> \"\n\n            for j, wp2 in enumerate(self.wp2_lists[i]):\n                s += f\"{wp2.get_label():s}\\n\"\n                g1s = self.G1_orbits[i][j]\n                g2s = self.G2_orbits[i][j]\n                Hs = self.H_orbits[i][j]\n                for g1_orbit, g2_orbit, h_orbit in zip(g1s, g2s, Hs):\n                    g1_xyz = g1_orbit.as_xyz_str()\n                    g2_xyz = g2_orbit.as_xyz_str()\n                    h_xyz = h_orbit.as_xyz_str()\n                    s += f\"{g1_xyz:30s} -> {g2_xyz:30s} -> {h_xyz:30s}\\n\"\n        return s\n\n    def __repr__(self):\n        return str(self)\n\n\ndef in_lists(mat1, mat2, eps=1e-2, PBC=True):\n    if len(mat2) == 0:\n        return False\n    else:\n        for mat in mat2:\n            if np.array_equal(mat[:3, :3], mat1[:3, :3]):\n                diffs = np.abs(mat[:3, 3] - mat1[:3, 3])\n                if PBC:\n                    diffs -= np.rint(diffs)\n                # print(\"diffs\", diffs)\n                if (diffs**2).sum() < eps:\n                    return True\n        return False\n\n\nif __name__ == \"__main__\":\n    # sp = wyckoff_split(G=14, idx=1, wp1=['2c', '4e'], group_type='t')\n    # print(sp)\n    for idx in range(4):\n        sp = wyckoff_split(G=210, idx=idx, wp1=['8b'], group_type='k')\n        sp = wyckoff_split(G=227, idx=idx, wp1=[\"96g\"], group_type=\"t\")\n        #print(sp)\n        print(sp.R)\n        print(sp.error)\n"
  },
  {
    "path": "requirements.txt",
    "content": "# This file was autogenerated by uv via the following command:\n#    uv pip compile setup.py -o requirements.txt\nase==3.23.0\n    # via pyxtal (setup.py)\ncertifi==2024.7.4\n    # via requests\ncharset-normalizer==3.3.2\n    # via requests\ncontourpy==1.2.1\n    # via matplotlib\ncycler==0.12.1\n    # via matplotlib\nfonttools==4.60.2\n    # via matplotlib\nidna==3.7\n    # via requests\nimportlib-metadata==8.0.0\n    # via pyxtal (setup.py)\njoblib==1.4.2\n    # via pymatgen\njuliacall==0.9.22\n    # via pyxtal (setup.py)\njuliapkg==0.1.13\n    # via juliacall\nkiwisolver==1.4.5\n    # via matplotlib\nlatexcodec==3.0.0\n    # via pybtex\nmatplotlib==3.9.1\n    # via\n    #   ase\n    #   pymatgen\nmonty==2024.5.24\n    # via pymatgen\nmpmath==1.3.0\n    # via sympy\nnetworkx==3.3\n    # via\n    #   pyxtal (setup.py)\n    #   pymatgen\nnumpy==2.0.0\n    # via\n    #   pyxtal (setup.py)\n    #   ase\n    #   contourpy\n    #   matplotlib\n    #   pandas\n    #   pymatgen\n    #   scipy\n    #   spglib\npackaging==24.1\n    # via\n    #   matplotlib\n    #   plotly\npalettable==3.3.3\n    # via pymatgen\npandas==2.2.2\n    # via\n    #   pyxtal (setup.py)\n    #   pymatgen\npillow==10.4.0\n    # via matplotlib\nplotly==5.22.0\n    # via pymatgen\npybtex==0.24.0\n    # via pymatgen\npymatgen==2024.6.10\n    # via pyxtal (setup.py)\npyparsing==3.1.2\n    # via matplotlib\npython-dateutil==2.9.0.post0\n    # via\n    #   matplotlib\n    #   pandas\npytz==2024.1\n    # via pandas\npyyaml==6.0.1\n    # via pybtex\nrequests==2.32.4\n    # via pymatgen\nruamel-yaml==0.18.6\n    # via pymatgen\nruamel-yaml-clib==0.2.8\n    # via ruamel-yaml\nscipy==1.14.0\n    # via\n    #   pyxtal (setup.py)\n    #   ase\n    #   pymatgen\nsemver==3.0.2\n    # via juliapkg\nsix==1.16.0\n    # via\n    #   pybtex\n    #   python-dateutil\nspglib==2.5.0\n    # via\n    #   pyxtal (setup.py)\n    #   pymatgen\nsympy==1.13.0\n    # via pymatgen\ntabulate==0.9.0\n    # via pymatgen\ntenacity==8.5.0\n    # via plotly\ntqdm==4.66.4\n    # via pymatgen\ntyping-extensions==4.12.2\n    # via pyxtal (setup.py)\ntzdata==2024.1\n    # via pandas\nuncertainties==3.2.2\n    # via pymatgen\nurllib3==2.6.3\n    # via requests\nzipp==3.19.2\n    # via importlib-metadata\n"
  },
  {
    "path": "scripts/match.py",
    "content": "\nimport pymatgen as mg\nimport numpy as np\nfrom pyxtal.util import parse_cif\nfrom optparse import OptionParser\nimport pymatgen.analysis.structure_matcher as sm\nfrom pyxtal import pyxtal\nfrom pyxtal.XRD import Similarity\nfrom pyxtal.optimize.base import GlobalOptimize\nimport warnings\nwarnings.filterwarnings(\"ignore\")\n\nparser = OptionParser()\nparser.add_option(\"-f\", dest=\"cif\", default=\"WFS-gaff.cif\", help=\"input cif file\")\nparser.add_option(\"-r\", dest=\"ref\", help=\"reference\")\nparser.add_option(\"-o\", dest=\"out\", default=\"Matched.cif\", help=\"output\")\nparser.add_option(\"--emin\", dest=\"emin\", type=float, default=0,\n                  help=\"minimum energy, default 0\")\nparser.add_option(\"--emax\", dest=\"emax\", type=float, default=100,\n                  help=\"maximum energy, default 100\")\nparser.add_option(\"--early_stop\", dest=\"early\", action=\"store_true\", default=False,\n                  help=\"stop when the first match is found\")\nparser.add_option(\"--XRD\", dest=\"xrd\",\n                  action=\"store_true\", default=False,\n                  help=\"Compare XRD\")\nparser.add_option(\"--smin\", dest=\"smin\", type=float, default=0.80,\n                  help=\"min similarity for XRD\")\n\n(options, args) = parser.parse_args()\nmatcher = sm.StructureMatcher(ltol=0.3, stol=0.4, angle_tol=5.0)\n\nwith open(options.cif, 'r') as f:\n    lines = f.readlines()\n    smiles = []\n    for l in lines:\n        if 'smile' in l:\n            smile_str = l.split(':')[1].strip()\n            smiles = [s + '.smi' for s in smile_str.split('.')]\n            break\nprint(smiles)\nwith open(options.out, 'w') as f: f.write(f'smiles: {smile_str}\\n')\n\nif options.ref is None:\n    raise ValueError(\"Reference structure is required.\")\nelse:\n    pmg_ref = mg.core.Structure.from_file(options.ref)\n    xtal = pyxtal(molecular=True)\n    xtal.from_seed(pmg_ref, molecules = smiles)\n    print(f\"Reference Structure loaded from {options.ref} {pmg_ref.density:.3f}\")\n    pmg_ref.remove_species(\"H\")\n    print(xtal)\n\n    if options.xrd:\n        thetas = [0, 35.0]\n        xrd = xtal.get_XRD(thetas=thetas)\n        p_ref = xrd.get_profile(res=0.15, user_kwargs={\"FWHM\": 0.25})\n\ncifs, engs = parse_cif(options.cif, eng=True)\nprint(\"Total Number of Structures:\", len(cifs))\nengs = np.array(engs)\nids = np.argsort(engs)\ncifs = [cifs[id] for id in ids]\nengs = engs[ids]\nprint(f\"Min energy in eV: {engs.min()+options.emin/96.485:.4f} {engs.min()+options.emax/96.485:.4f}\")\nengs_norm = engs - engs.min()  # Normalize energies to the lowest one\nengs_norm *= 96.485\n\n# Find the id of energy that is between [options.emin, options.emax]\nn1 = np.searchsorted(engs_norm, options.emin, side='left')\nn2 = np.searchsorted(engs_norm, options.emax, side='right')\nengs = engs[n1:n2]\nengs_norm = engs_norm[n1:n2]\ncifs = [cifs[id] for id in range(n1, n2)]\nids = ids[n1:n2]\ncount = 0\nxtal = pyxtal(molecular=True)\nfor id, cif in enumerate(cifs):\n    pmg = mg.core.Structure.from_str(cif, fmt='cif')\n    try:\n        xtal.from_seed(pmg, molecules = smiles)\n        #xtal.energy = engs_norm[id]\n        spg = xtal.group.number\n        den = xtal.get_density()\n        raw_eng = engs[id]\n        norm_eng = engs_norm[id]\n        match = False\n        strs = f\"Struc {ids[id]:6d}: {spg:3d} {raw_eng:.3f} kJ/mol, {den:.3f} g/cm^3, {norm_eng:.3f}\"\n        if options.xrd:\n            p1 = xtal.get_XRD(thetas=thetas).get_profile(res=0.15, user_kwargs={\"FWHM\": 0.25})\n            sim = Similarity(p1, p_ref, x_range=thetas).value\n            if sim > options.smin: match = True\n            strs += f'{sim:12.3f} in PXRD similarity'\n        else:\n            pmg.remove_species(\"H\")\n            if abs(pmg.density-pmg_ref.density) <= 0.35:\n                strs += '****'\n                if matcher.fit(pmg, pmg_ref):\n                    match = True\n                    \n                    pmg_gen = xtal.to_pymatgen()\n                    pmg_gen.remove_species(\"H\")\n\n                    ref_copy = pmg_ref.copy()\n                    ref_copy.remove_species(\"H\")\n                    print(f\"Generated structure sites: {len(pmg_gen.sites)}, Reference sites: {len(ref_copy.sites)}\")\n                    print(f\"Species (gen): {[str(sp) for sp in pmg_gen.species]}\")\n                    print(f\"Species (ref): {[str(sp) for sp in ref_copy.species]}\")\n                    rmsd = matcher.get_rms_dist( ref_copy, pmg_gen)\n                    if rmsd is not None:\n                        rms_lat, rms_cart = rmsd\n                        print(f\"RMSD – Lattice: {rms_lat:.3f} Å, Cartesian: {rms_cart:.3f} Å\")\n                    else:\n                        print(\"RMSD calculation failed: structures not comparable\")\n                    \n    except:\n        continue\n\n    if match:\n        count += 1\n        strs += '+++++++++++'\n        label = f\"{count}-d{den:.3f}-spg{spg}-e{norm_eng:.3f}\"\n        if options.xrd: label += f\"-s{sim:.3f}\"\n        with open(options.out, 'a+') as f: f.writelines(xtal.to_file(header=label))\n        if options.early: break\n    print(strs)\nprint(f\"Found {count} matches\")\n\n"
  },
  {
    "path": "scripts/pyxtal_csp_match.py",
    "content": "\nimport pymatgen as mg\nimport numpy as np\nfrom pyxtal.util import parse_cif\nfrom optparse import OptionParser\nimport pymatgen.analysis.structure_matcher as sm\nfrom pyxtal import pyxtal\nfrom pyxtal.XRD import Similarity\nimport warnings\nwarnings.filterwarnings(\"ignore\")\n\nparser = OptionParser()\nparser.add_option(\"-f\", dest=\"cif\", default=\"WFS-gaff.cif\", help=\"input cif file\")\nparser.add_option(\"-r\", dest=\"ref\", help=\"reference\")\nparser.add_option(\"-o\", dest=\"out\", default=\"Matched.cif\", help=\"output\")\nparser.add_option(\"--emin\", dest=\"emin\", type=float, default=0,\n                  help=\"minimum energy, default 0\")\nparser.add_option(\"--emax\", dest=\"emax\", type=float, default=100,\n                  help=\"maximum energy, default 100\")\nparser.add_option(\"--early_stop\", dest=\"early\", action=\"store_true\", default=False,\n                  help=\"stop when the first match is found\")\nparser.add_option(\"--XRD\", dest=\"xrd\",\n                  action=\"store_true\", default=False,\n                  help=\"Compare XRD\")\nparser.add_option(\"--smin\", dest=\"smin\", type=float, default=0.80,\n                  help=\"min similarity for XRD\")\n\n(options, args) = parser.parse_args()\nmatcher = sm.StructureMatcher(ltol=0.3, stol=0.3, angle_tol=5.0)\n\nwith open(options.cif, 'r') as f:\n    lines = f.readlines()\n    smiles = []\n    for l in lines:\n        if 'smile' in l:\n            smile_str = l.split(':')[1].strip()\n            smiles = [s + '.smi' for s in smile_str.split('.')]\n            break\nprint(smiles)\nwith open(options.out, 'w') as f: f.write(f'smiles: {smile_str}\\n')\n\nif options.ref is None:\n    raise ValueError(\"Reference structure is required.\")\nelse:\n    pmg_ref = mg.core.Structure.from_file(options.ref)\n    xtal = pyxtal(molecular=True)\n    xtal.from_seed(pmg_ref, molecules = smiles)\n    print(f\"Reference Structure loaded from {options.ref} {pmg_ref.density:.3f}\")\n    pmg_ref.remove_species(\"H\")\n    print(xtal)\n\n    if options.xrd:\n        thetas = [0, 35.0]\n        xrd = xtal.get_XRD(thetas=thetas)\n        p_ref = xrd.get_profile(res=0.15, user_kwargs={\"FWHM\": 0.25})\n\ncifs, engs = parse_cif(options.cif, eng=True)\nengs = np.array(engs)\nids = np.argsort(engs)\n\nprint(\"Total Number of Structures:\", len(cifs))\ncifs = [cifs[id] for id in ids]\nengs = engs[ids]\nprint(f\"Min energy in eV: {engs.min()+options.emin/96.485:.4f} {engs.min()+options.emax/96.485}\")\nengs_norm = engs - engs.min()  # Normalize energies to the lowest one\nengs_norm *= 96.485\n\n# Find the id of energy that is between [options.emin, options.emax]\nn1 = np.searchsorted(engs, options.emin, side='left')\nn2 = np.searchsorted(engs, options.emax, side='right')\nengs = engs[n1:n2]\nengs_norm = engs_norm[n1:n2]\ncifs = [cifs[id] for id in range(n1, n2)]\nids = ids[n1:n2]\ncount = 0\nxtal = pyxtal(molecular=True)\nfor id, cif in enumerate(cifs):\n    pmg = mg.core.Structure.from_str(cif, fmt='cif')\n    spg = xtal.group.number\n    den = xtal.get_density()\n    eng = engs_norm[id]\n    match = False\n    try:\n        xtal.from_seed(pmg, molecules = smiles)\n        xtal.energy = engs[ids]\n        strs = f\"Struc {ids[id]:6d}: {spg:3d} {eng:.3f} kJ/mol, {den:.3f} g/cm^3\"\n        if options.xrd:\n            p1 = xtal.get_XRD(thetas=thetas).get_profile(res=0.15, user_kwargs={\"FWHM\": 0.25})\n            sim = Similarity(p1, p_ref, x_range=thetas).value\n            if sim > options.smin: match = True\n            strs += f'{sim:12.3f} in PXRD similarity'\n        else:\n            pmg.remove_species(\"H\")\n            if abs(pmg.density-pmg_ref.density) <= 0.15:\n                strs += '****'\n                if matcher.fit(pmg, pmg_ref):\n                    match = True\n    except:\n        continue\n\n    if match:\n        count += 1\n        strs += '+++++++++++'\n        label = f\"{count}-d{den:.3f}-spg{spg}-e{eng:.3f}\"\n        if options.xrd: label += f\"-s{sim:.3f}\"\n        with open(options.out, 'a+') as f: f.writelines(xtal.to_file(header=label))\n        if options.early: break\n    print(strs)\nprint(f\"Found {count} matches\")\n"
  },
  {
    "path": "scripts/pyxtal_csp_plot.py",
    "content": "import os\nimport numpy as np\nimport pandas as pd\nimport matplotlib.pyplot as plt\nfrom optparse import OptionParser\n\nparser = OptionParser()\nparser.add_option(\"-f\", \"--cif\", dest=\"cif\", default=\"WFS-gaff.cif\",\n                  help=\"cif file name, optional\")\nparser.add_option(\"-m\", \"--match\", dest=\"match\", #default=\"Matched.cif\",\n                  help=\"mathed cif file name, optional\")\nparser.add_option(\"--emax\", dest=\"Ecut\", type=float, default=100.0,\n                  help=\"Energy cutoff, optional\")\n(options, args) = parser.parse_args()\n# Read and parse the log file\nif len(options.cif.split('/')) > 1:\n    dir = options.cif.split('/')[-2]\nelse:\n    dir = os.getcwd().split('/')[-1]\n\nos.system(f\"grep data {options.cif} > log.txt\")\ndata = []\nwith open('log.txt', 'r') as f:\n    for line in f:\n        if line.startswith('data_'):\n            # Split by '-' and extract values\n            parts = line.strip().split('-')\n            density = float(parts[-3][1:])  # Remove 'd' and convert to float\n            spg = int(parts[-2][3:])        # Remove 'spg' and convert to int\n            energy = float(parts[-1][1:])*-96.485    # Remove 'e' and convert to float\n            data.append({'Density_g_cm3': density, 'Space_group': spg, 'Energy_kJ_mol': energy})\n            print(f\"{spg:3d}, {energy:12.4f}\")\n\n# Create DataFrame from parsed data\nprint(\"Total number of structures:\", len(data))\ndf = pd.DataFrame(data)\n\n#df = pd.read_csv('crystal_data.csv')\ndf['Energy_kJ_mol'] -= df['Energy_kJ_mol'].min()  # Normalize energy for better visualization\nids = np.argsort(df['Energy_kJ_mol'])\n\nfor key in ['Density_g_cm3', 'Space_group', 'Energy_kJ_mol']:\n    df[key] = df[key][ids]\n\n# Create a figure with 2 subplots\nfig, (ax1, ax2) = plt.subplots(2, 1, figsize=(17, 8))\n\n# Scatter plot in first subplot\nscatter = ax1.scatter(df['Density_g_cm3'], df['Energy_kJ_mol'], c=df['Space_group'], alpha=0.5, cmap='plasma')\nax1.set_xlabel('Density (g/m$^3$)')\nax1.set_ylabel('Energy (kJ/mol)')\nax1.set_ylim(-3, options.Ecut)\nax1.set_xlim(df['Density_g_cm3'].min()-0.05, df['Density_g_cm3'].max()+0.05)  # Adjust x-axis limit for better visibility\nax1.set_title(f'Energy vs Density ({dir})')\nax1.grid(True)\nplt.colorbar(scatter, ax=ax1, label='Space Group', fraction=0.046, pad=0.04)\n\nif options.match is not None:\n    os.system(f\"grep data {options.match} > match.txt\")\n    match = []\n    with open('match.txt', 'r') as f:\n        for line in f:\n            parts = line.strip().split('-')\n            density = float(parts[-3][1:])  # Remove 'd' and convert to float\n            energy = float(parts[-1][1:])\n            match.append([density, energy])\n            print(f\"{density:12.4f}, {energy:12.4f}\")\n    match = np.array(match)\n    ax1.scatter(match[:, 0], match[:, 1], marker='*', c='r', s=100, label='Match')\n    ax1.legend()\n\n# Histogram in second subplot\n# Group by space group and calculate mean energy and count\nsg_stats = df.groupby('Space_group').agg({'Energy_kJ_mol': 'mean', 'Space_group': 'count'}).rename(columns={'Space_group': 'count'})\n\n# Get the actual space group numbers that exist in the data\nexisting_sg = sorted(df['Space_group'].unique())\n\n# Create mapping of actual space groups to sequential indices\nsg_mapping = {sg: i+1 for i, sg in enumerate(existing_sg)}\n\n# Create bar plot with sequential indices\nbars = ax2.bar(range(1, len(existing_sg) + 1), sg_stats.loc[existing_sg, 'count'], edgecolor='black', alpha=0.5)\n\n# Set the x-ticks to show the actual space group numbers\nax2.set_xticks(range(1, len(existing_sg) + 1))\nax2.set_xticklabels(existing_sg)\n\n# Create colormap based on mean energy values\nnorm = plt.Normalize(sg_stats['Energy_kJ_mol'].min(), sg_stats['Energy_kJ_mol'].max())\ncolors = plt.cm.viridis(norm(sg_stats.loc[existing_sg, 'Energy_kJ_mol']))\n\n# Create bar plot with colors based on mean energy\nbars = ax2.bar(range(1, len(existing_sg) + 1), sg_stats.loc[existing_sg, 'count'],\n               color=colors, edgecolor='black', alpha=0.7)\n\n# Add colorbar for energy values\nsm = plt.cm.ScalarMappable(cmap='viridis', norm=norm)\nplt.colorbar(sm, ax=ax2, label='Mean Energy (kJ/mol)', fraction=0.046, pad=0.04)\n\n# Create bar plot with colors based on mean energy\nbars = ax2.bar(range(1, len(existing_sg) + 1), sg_stats.loc[existing_sg, 'count'],\n               color=colors, edgecolor='black', alpha=0.7)\n\n# Add count numbers and lowest energy on top of each bar\nfor bar in bars:\n    height = bar.get_height()\n    sg_num = existing_sg[int(bar.get_x())]  # Get space group number\n    min_energy = df[df['Space_group'] == sg_num]['Energy_kJ_mol'].min()\n    ax2.text(bar.get_x() + bar.get_width()/2., height,\n             f'{min_energy:.0f}',\n             ha='center', va='bottom')\n\nax2.set_xlabel('Space Group Number')\nax2.set_ylabel('Frequency (log scale)')\nax2.set_title(f'Space Group Distribution (Top {len(df)} structures)')\nax2.set_yscale('log')  # Set y-axis to logarithmic scale\nax2.set_ylim(1, df['Space_group'].value_counts().max() * 2.5)  # Adjust y-axis limit for better visibility\nax2.set_xlim(0.5, len(existing_sg) + 0.5)  # Adjust x-axis limits to center bars\nplt.tight_layout()\nplt.savefig('crystal_data_plot.png', dpi=300)\nplt.close()\n\nprint(options.Ecut)\n"
  },
  {
    "path": "scripts/pyxtal_csp_rank.py",
    "content": "import pymatgen as mg\nimport numpy as np\nfrom pyxtal import pyxtal\nfrom pyxtal.util import parse_cif\nfrom optparse import OptionParser\nimport pymatgen.analysis.structure_matcher as sm\n\nimport warnings\nwarnings.filterwarnings(\"ignore\")\n\ndef new_struc(xtal, xtals, max_num=100):\n    \"\"\"\n    check if this is a new structure\n\n    Args:\n        xtal: input structure\n        xtals: list of reference structures\n\n    Return:\n        `None` or the id of matched structure\n    \"\"\"\n    if len(xtals) > max_num:\n        start = len(xtals) - max_num\n    else:\n        start = 0\n    sg1 = xtal.group.number\n    pmg_s1 = xtal.to_pymatgen()\n    pmg_s1.remove_species(\"H\")\n    vol1 = pmg_s1.lattice.volume\n\n    for xtal2 in xtals[start:]:\n        sg2 = xtal2.group.number\n        if sg1 == sg2:\n            pmg_s2 = xtal2.to_pymatgen()\n            vol2 = pmg_s2.lattice.volume\n            if abs(vol1-vol2)/vol1<5e-2:\n                pmg_s2.remove_species(\"H\")\n                if sm.StructureMatcher().fit(pmg_s1, pmg_s2):\n                    return False\n    return True\n\n\nparser = OptionParser()\nparser.add_option(\"-f\", \"--cif\", dest=\"cif\", default=\"WFS-gaff.cif\",\n                  help=\"cif file name, optional\")\nparser.add_option(\"-r\", \"--rank\", dest=\"rank\", default='energy',\n                  help=\"ranking criteria: default is energy\")\nparser.add_option(\"-s\", \"--n1\", dest=\"n1\", type=int, default=0,\n                  help=\"starting id, optional\")\nparser.add_option(\"-e\", \"--n2\", dest=\"n2\", type=int, default=-1,\n                  help=\"ennding id, optional\")\nparser.add_option(\"-c\", \"--cut\", dest=\"cut\", type=int,\n                  help=\"cutoff number, optional\")\nparser.add_option(\"--dmax\", dest=\"dmax\", type=float, default=10.0,\n                  help=\"maximum density in g/cm^3, optional\")\n\n(options, args) = parser.parse_args()\nrank = options.rank\nn1 = options.n1\nn2 = options.n2\noutput1 = 'Ranked.cif'\n\n\"\"\"\nRead the smile from the following contents\n-------Global Crystal Structure Prediction------\nsmile     : CC(=O)OC1=CC=CC=C1C(=O)O\n\"\"\"\n\nwith open(options.cif, 'r') as f:\n    lines = f.readlines()\n    smiles = []\n    for l in lines:\n        if 'smile' in l:\n            smile_str = l.split(':')[1].strip()\n            smiles = [smile_str + '.smi']\n            break\nprint(smiles)\n\ncifs, engs = parse_cif(options.cif, eng=True)\nprint(\"Total Number of Structures:\", len(cifs))\nif options.cut is None:\n    cut = len(cifs)\nelse:\n    cut = options.cut\n\nif options.rank == 'energy':\n    engs = np.array(engs)\n    ids = np.argsort(engs)\nelse:\n    cifs, sims = parse_cif(options.cif, sim=True)\n    sims = np.array(sims)\n    ids = np.argsort(-1*sims)\n    sims = [sims[id] for id in ids]\n\ncifs = [cifs[id] for id in ids]\nengs = engs[ids]\neng0 = engs.min()\n\nif n2 == -1:\n    cifs = cifs[n1:]\n    engs = engs[n1:]\n    ids = ids[n1:]\nelse:\n    n2 = min(n2, len(cifs))\n    cifs = cifs[n1:n2]\n    engs = engs[n1:n2]\n    ids = ids[n1:n2]\nprint(\"Index\", n1, n2, cut, len(cifs))\nwith open(output1, 'w') as f: f.write(l)\n\nxtals = []\ncount = 0\nwith open(output1, 'a+') as f:\n    for id, cif in enumerate(cifs):\n        pmg = mg.core.Structure.from_str(cif, fmt='cif')\n        try:\n            xtal = pyxtal(molecular=True)\n            xtal.from_seed(pmg, molecules = smiles)\n            xtal.energy = engs[id]\n            if new_struc(xtal, xtals, 100):\n                xtals.append(xtal)\n                spg = xtal.group.number\n                den = xtal.get_density()\n                eng = engs[id]\n                label = f\"{count}-d{den:.3f}-spg{spg}-e{eng:.3f}\"\n                if den < options.dmax:\n                    f.writelines(xtal.to_file(header=label))\n                    print(f\"{ids[id]:6d} {label} {(eng-eng0)*96.485:6.2f}\")\n                count += 1\n                if count == cut:\n                    print(\"Stop\", count)\n                    break\n        except:\n            print(\"Problem in reading\")\n"
  },
  {
    "path": "scripts/pyxtal_main.py",
    "content": "#!/usr/bin/env  python\n\nimport os\nfrom argparse import ArgumentParser\n\nimport numpy as np\n\nfrom pyxtal import print_logo, pyxtal\nfrom pyxtal.symmetry import get_symbol_and_number\n\nif __name__ == \"__main__\":\n    # -------------------------------- Options -------------------------\n    parser = ArgumentParser()\n    parser.add_argument(\n        \"-s\",\n        \"--symmetry\",\n        dest=\"sg\",\n        metavar=\"sg\",\n        default=36,\n        type=str,\n        help=\"desired symmetry, number or string, e.g., 36, Pbca, Ih\",\n    )\n    parser.add_argument(\n        \"-e\",\n        \"--element\",\n        dest=\"element\",\n        default=\"Li\",\n        help=\"desired elements: e.g., Li\",\n        metavar=\"element\",\n    )\n    parser.add_argument(\n        \"-n\",\n        \"--numIons\",\n        dest=\"numIons\",\n        default=16,\n        help=\"desired numbers of atoms: 16\",\n        metavar=\"numIons\",\n    )\n    parser.add_argument(\n        \"-f\",\n        \"--factor\",\n        dest=\"factor\",\n        default=1.0,\n        type=float,\n        help=\"volume factor: default 1.0\",\n        metavar=\"factor\",\n    )\n    parser.add_argument(\n        \"-a\",\n        \"--attempts\",\n        dest=\"attempts\",\n        default=1,\n        type=int,\n        help=\"number of crystals to generate: default 1\",\n        metavar=\"attempts\",\n    )\n    parser.add_argument(\n        \"-o\",\n        \"--outdir\",\n        dest=\"outdir\",\n        default=\"out\",\n        type=str,\n        help=\"Directory for storing output cif files: default 'out'\",\n        metavar=\"outdir\",\n    )\n    parser.add_argument(\n        \"-d\",\n        \"--dimension\",\n        dest=\"dimension\",\n        metavar=\"dimension\",\n        default=3,\n        type=int,\n        help=\"desired dimension: (3, 2, 1, 0): default 3\",\n    )\n    parser.add_argument(\n        \"-t\",\n        \"--thickness\",\n        dest=\"thickness\",\n        metavar=\"thickness\",\n        default=None,\n        type=float,\n        help=\"Thickness of a 2D crystal, or area of a 1D crystal, None generates a value automatically: default None\",\n    )\n\n    parser.add_argument(\n        \"-m\",\n        \"--molecular\",\n        dest=\"molecular\",\n        action=\"store_true\",\n        default=False,\n        help=\"molecular? default: False\",\n    )\n\n    parser.add_argument(\n        \"-c\",\n        \"--conventional\",\n        dest=\"conventional\",\n        action=\"store_true\",\n        default=False,\n        help=\"conventional setting? default: False\",\n    )\n\n    print_logo()\n    options = parser.parse_args()\n    sg = options.sg\n    dimension = options.dimension\n    if isinstance(sg, str) and sg.isnumeric():\n        sg = int(sg)\n    symbol, sg = get_symbol_and_number(sg, dimension)\n\n    element = options.element\n    number = options.numIons\n    numIons = []\n    if element.find(\",\") > 0:\n        system = element.split(\",\")\n        for x in number.split(\",\"):\n            numIons.append(int(x))\n    else:\n        system = [element]\n        numIons = [int(number)]\n\n    factor = options.factor\n    if factor < 0:\n        raise ValueError(f\"Volume factor {factor:.2f} must be greater than 0.\")\n\n    attempts = options.attempts\n    outdir = options.outdir\n    dimension = options.dimension\n    thickness = options.thickness\n    molecular = options.molecular\n    conventional = options.conventional\n\n    if not os.path.exists(outdir):\n        os.mkdir(outdir)\n\n    for i in range(attempts):\n        numIons0 = np.array(numIons)\n        rand_crystal = pyxtal(molecular=molecular)\n        if dimension == 3:\n            rand_crystal.from_random(3, sg, system, numIons0, factor, conventional=conventional)\n        elif dimension == 2:\n            rand_crystal.from_random(2, sg, system, numIons0, factor, thickness, conventional=conventional)\n        elif dimension == 1:\n            rand_crystal.from_random(1, sg, system, numIons0, factor, thickness, conventional=conventional)\n        if dimension == 0:\n            rand_crystal.from_random(0, sg, system, numIons0, factor)\n        # Output a cif or xyz file\n        outpath = options.outdir + \"/\" + str(i) + \".cif\" if dimension > 0 else options.outdir + \"/\" + str(i) + \".xyz\"\n        rand_crystal.to_file(filename=outpath)\n\n        print(rand_crystal)\n"
  },
  {
    "path": "scripts/pyxtal_symmetry.py",
    "content": "#!/usr/bin/env  python\n\nfrom argparse import ArgumentParser\n\nfrom pyxtal import print_logo\nfrom pyxtal.symmetry import Group\n\nif __name__ == \"__main__\":\n    # -------------------------------- Options -------------------------\n    parser = ArgumentParser()\n    parser.add_argument(\n        \"-s\",\n        \"--symmetry\",\n        dest=\"sg\",\n        type=str,\n        help=\"desired symmetry, number or string, e.g., 36, Pbca, Ih. if None, show all list of available groups\",\n    )\n    parser.add_argument(\n        \"-d\",\n        \"--dimension\",\n        dest=\"dimension\",\n        default=3,\n        type=int,\n        help=\"desired dimension: (3, 2, 1, 0): default 3\",\n    )\n\n    print_logo()\n    options = parser.parse_args()\n\n    dimension = options.dimension\n\n    if options.sg is not None:\n        sg = options.sg\n        if sg.isnumeric():\n            sg = int(sg)\n        print(Group(sg, dimension))\n    else:\n        Group.list_groups(dimension)\n"
  },
  {
    "path": "scripts/rank.py",
    "content": "import pymatgen as mg\nimport numpy as np\nfrom pyxtal import pyxtal\nfrom pyxtal.util import parse_cif\nfrom optparse import OptionParser\nimport pymatgen.analysis.structure_matcher as sm\n\nimport warnings\nwarnings.filterwarnings(\"ignore\")\n\ndef new_struc(xtal, xtals, max_num=100):\n    \"\"\"\n    check if this is a new structure\n\n    Args:\n        xtal: input structure\n        xtals: list of reference structures\n\n    Return:\n        `None` or the id of matched structure\n    \"\"\"\n    if len(xtals) > max_num:\n        start = len(xtals) - max_num\n    else:\n        start = 0\n    sg1 = xtal.group.number\n    pmg_s1 = xtal.to_pymatgen()\n    pmg_s1.remove_species(\"H\")\n    vol1 = pmg_s1.lattice.volume\n\n    for xtal2 in xtals[start:]:\n        sg2 = xtal2.group.number\n        if sg1 == sg2:\n            pmg_s2 = xtal2.to_pymatgen()\n            vol2 = pmg_s2.lattice.volume\n            if abs(vol1-vol2)/vol1<5e-2:\n                pmg_s2.remove_species(\"H\")\n                if sm.StructureMatcher().fit(pmg_s1, pmg_s2):\n                    return False\n    return True\n\n\nparser = OptionParser()\nparser.add_option(\"-f\", \"--cif\", dest=\"cif\", default=\"WFS-gaff.cif\",\n                  help=\"cif file name, optional\")\nparser.add_option(\"-r\", \"--rank\", dest=\"rank\", default='energy',\n                  help=\"ranking criteria: default is energy\")\nparser.add_option(\"-s\", \"--n1\", dest=\"n1\", type=int, default=0,\n                  help=\"starting id, optional\")\nparser.add_option(\"-e\", \"--n2\", dest=\"n2\", type=int, default=-1,\n                  help=\"ennding id, optional\")\nparser.add_option(\"-c\", \"--cut\", dest=\"cut\", type=int,\n                  help=\"cutoff number, optional\")\nparser.add_option(\"--dmax\", dest=\"dmax\", type=float, default=10.0,\n                  help=\"maximum density in g/cm^3, optional\")\n\n(options, args) = parser.parse_args()\nrank = options.rank\nn1 = options.n1\nn2 = options.n2\noutput1 = 'Ranked.cif'\n\n\"\"\"\nRead the smile from the following contents\n-------Global Crystal Structure Prediction------\nsmile     : CC(=O)OC1=CC=CC=C1C(=O)O\n\"\"\"\n\nwith open(options.cif, 'r') as f:\n    lines = f.readlines()\n    smiles = []\n    for l in lines:\n        if 'smile' in l:\n            smile_str = l.split(':')[1].strip()\n            smiles = [smile_str + '.smi']\n            break\nprint(smiles)\n\ncifs, engs = parse_cif(options.cif, eng=True)\nprint(\"Total Number of Structures:\", len(cifs))\nif options.cut is None:\n    cut = len(cifs)\nelse:\n    cut = options.cut\n\nif options.rank == 'energy':\n    engs = np.array(engs)\n    ids = np.argsort(engs)\nelse:\n    cifs, sims = parse_cif(options.cif, sim=True)\n    sims = np.array(sims)\n    ids = np.argsort(-1*sims)\n    sims = [sims[id] for id in ids]\n\ncifs = [cifs[id] for id in ids]\nengs = engs[ids]\neng0 = engs.min()\n\nif n2 == -1:\n    cifs = cifs[n1:]\n    engs = engs[n1:]\n    ids = ids[n1:]\nelse:\n    n2 = min(n2, len(cifs))\n    cifs = cifs[n1:n2]\n    engs = engs[n1:n2]\n    ids = ids[n1:n2]\nprint(\"Index\", n1, n2, cut, len(cifs))\nwith open(output1, 'w') as f: f.write(l)\n\nxtals = []\ncount = 0\nwith open(output1, 'a+') as f:\n    for id, cif in enumerate(cifs):\n        pmg = mg.core.Structure.from_str(cif, fmt='cif')\n        try:\n            xtal = pyxtal(molecular=True)\n            xtal.from_seed(pmg, molecules = smiles)\n            xtal.energy = engs[id]\n            if new_struc(xtal, xtals, 100):\n                xtals.append(xtal)\n                spg = xtal.group.number\n                den = xtal.get_density()\n                eng = engs[id]\n                label = f\"{count}-d{den:.3f}-spg{spg}-e{eng:.3f}\"\n                if den < options.dmax:\n                    cif_lines = xtal.to_file(header=label).splitlines()\n                    # Extract energy from label\n                    energy_from_label = float(label.split('-e')[1])\n                    energy_line = f\"#Energy: {energy_from_label:.3f} eV/cell\\n\"\n                    output_lines = []\n                    energy_replaced = False\n                    for line in cif_lines:\n                        stripped = line.strip()\n                        # Replace any existing energy line\n                        if stripped.startswith(\"#Energy:\"):\n                            output_lines.append(energy_line)\n                            energy_replaced = True\n                            continue\n                        output_lines.append(line + '\\n')\n                    f.writelines(output_lines)\n                    print(f\"{ids[id]:6d} {label} {(eng - eng0)*96.485:6.2f}\")\n                count += 1\n                if count == cut:\n                    print(\"Stop\", count)\n                    break\n        except:\n            print(\"Problem in reading\")\n"
  },
  {
    "path": "setup.cfg",
    "content": "[metadata]\ndescription-file = README.md\nlong-description-content-type = text/markdown\n"
  },
  {
    "path": "setup.py",
    "content": "from setuptools import setup\nfrom setuptools.command.install import install\nimport os\n\nclass CustomInstallCommand(install):\n    def run(self):\n        # Check if the custom environment variable is set\n        if os.getenv(\"INSTALL_JULIA\") == \"1\":\n            print(\"CustomInstallCommand: Installing Julia packages...\")\n            try:\n                from juliacall import Main as jl\n                jl.seval(\"using Pkg\")\n                jl.seval('Pkg.add(Pkg.PackageSpec(name=\"CrystalNets\", uuid=\"7952bbbe-a946-4118-bea0-081a0932faa9\"))')\n                print(\"CrystalNets has been installed successfully.\")\n            except ImportError:\n                print(\"juliacall is not installed. Skipping Julia package installation.\")\n            except Exception as e:\n                print(f\"An error occurred during Julia package installation: {e}\")\n                sys.exit(1)  # Optionally, stop the installation if this step fails\n        else:\n            print(\"CustomInstallCommand: Skipping Julia package installation.\")\n\n        # Run the standard install process\n        install.run(self)\n\nwith open(\"README.md\") as fh:\n    long_description = fh.read()\n\nsetup(\n    name=\"pyxtal\",\n    version=\"1.1.3\",\n    author=\"Scott Fredericks, Kevin Parrish, Qiang Zhu\",\n    author_email=\"alecfans@gmail.com\",\n    description=\"Python code for generation of crystal structures based on symmetry constraints.\",\n    long_description=long_description,\n    long_description_content_type=\"text/markdown\",\n    url=\"https://github.com/MaterSim/PyXtal\",\n    packages=[\n        \"pyxtal\",\n        \"pyxtal.database\",\n        \"pyxtal.interface\",\n        \"pyxtal.lego\",\n        \"pyxtal.optimize\",\n        \"pyxtal.potentials\",\n        \"pyxtal.database.cifs\",\n    ],\n    package_data={\n        \"pyxtal.database\": [\"*.csv\", \"*.json\", \"*.db\"],\n        \"pyxtal.database.cifs\": [\"*.cif\", \"*.vasp\"],\n        \"pyxtal.potentials\": [\"*\"],\n    },\n    scripts=[\n        \"scripts/pyxtal_main.py\",\n        \"scripts/pyxtal_symmetry.py\",\n        \"scripts/pyxtal_csp_plot.py\",\n        \"scripts/pyxtal_csp_match.py\",\n        \"scripts/pyxtal_csp_rank.py\",\n    ],\n    classifiers=[\n        \"Programming Language :: Python :: 3\",\n        \"License :: OSI Approved :: MIT License\",\n        \"Operating System :: OS Independent\",\n    ],\n    setup_requires=[\"juliacall>=0.9.0\"],\n    install_requires=[\n        \"spglib>=2.5.0\",\n        \"pymatgen>=2024.3.1\",\n        \"pandas>=2.0.2\",\n        \"networkx>=2.3\",\n        \"ase>=3.23.0\",\n        \"scipy>=1.7.3\",\n        #\"numpy>=1.26,<2\",  # prevent the use of numpy2\n        \"vasprun-xml>=1.0.4\",  # prevent the use of numpy2\n        \"importlib_metadata>=1.4\",\n        \"typing-extensions>=4.12\",\n        \"pyocse>=0.1.1\",\n        \"psutil\",\n    ],\n    extras_require={\n        \"visualization\": [\"py3Dmol>=0.8.0\"],\n        \"descriptor\": [\"pyshtools>=4.10.3\"],\n        \"molecules\": [\"openbabel\", \"pybel\"],\n        \"test\": [\"wheel\", \"pytest\", \"coverage\", \"pytest-cov\", \"monty>=2024.2.26\"],\n    },\n    cmdclass={\n        'install': CustomInstallCommand,\n    },\n    python_requires=\">=3.9\",\n    license=\"MIT\",\n)\n\n"
  },
  {
    "path": "tests/test_SO3.py",
    "content": "# python -m unittest pyxtal/test_all.py\nimport unittest\nimport numpy as np\nfrom pyxtal.lego.SO3 import SO3\nfrom pyxtal import pyxtal\nfrom ase import Atoms\nfrom ase.build import bulk, sort\n\ndef calculate_S(atoms, P_ref):\n    P = calculator.compute_p(atoms)\n    S = np.sum((P - P_ref)**2)\n    return S\n\n\ndef numerical_dSdx(x, xtal,  P_ref, eps=1e-4):\n    if type(x) == list: x = np.array(x)\n\n    xtal.update_from_1d_rep(x)\n    atoms = xtal.to_ase() #* 2\n    S0 = calculate_S(atoms, P_ref)\n    dSdx = np.zeros(len(x))\n    for i in range(len(x)):\n        x0 = x.copy()\n        x0[i] += eps\n        xtal.update_from_1d_rep(x0)\n        atoms = xtal.to_ase() #* 2\n        S1 = calculate_S(atoms, P_ref)\n\n        x0 = x.copy()\n        x0[i] -= eps\n        xtal.update_from_1d_rep(x0)\n        atoms = xtal.to_ase() #* 2\n        S2 = calculate_S(atoms, P_ref)\n\n        dSdx[i] = 0.5*(S1-S2)/eps\n    return dSdx\n\n\ndef calculate_dSdx_supercell(x, xtal, P_ref, eps=1e-4):\n\n    xtal.update_from_1d_rep(x)\n    atoms = xtal.to_ase() #* 2\n\n    dPdr, P = calculator.compute_dpdr_5d(atoms)\n\n    # Compute dSdr [N, M] [N, N, M, 3, 27] => [N, 3, 27]\n    dSdr = np.einsum(\"ik, ijklm -> jlm\", 2*(P - P_ref), dPdr)\n\n    # Get supercell positions\n    ref_pos = np.repeat(atoms.positions[:, :, np.newaxis], 27, axis=2)\n    for cell in range(27):\n        x1, y1, z1 = cell // 9 - 1, (cell // 3) % 3 - 1, cell % 3 - 1\n        ref_pos[:, :, cell] += np.array([x1, y1, z1]) @ atoms.cell\n\n    # Compute drdx via numerical func\n    drdx = np.zeros([len(atoms), 3, 27, len(x)])\n\n    xtal0 = xtal.copy()\n    for i in range(len(x)):\n        x0 = x.copy()\n        x0[i] += eps\n        xtal0.update_from_1d_rep(x0)\n        atoms = xtal0.to_ase()\n\n        # Get supercell positions\n        pos = np.repeat(atoms.positions[:, :, np.newaxis], 27, axis=2)\n        for cell in range(27):\n            x1, y1, z1 = cell // 9 - 1, (cell // 3) % 3 - 1, cell % 3 - 1\n            pos[:, :, cell] += np.array([x1, y1, z1]) @ atoms.cell\n\n        drdx[:, :, :, i] += (pos - ref_pos)/eps\n\n    # [N, 3, 27] [N, 3, 27, H] => H\n    dSdx = np.einsum(\"ijk, ijkl -> l\", dSdr, drdx)\n    return dSdx\n\n\ndef get_rotated_cluster(struc, angle=0, axis='x'):\n    s_new = struc.copy()\n    s_new.rotate(angle, axis)\n    cell = 17.22*np.eye(3)\n    p_struc = Atoms(s_new.symbols.numbers, positions=s_new.positions, cell=cell, pbc=True)\n    return p_struc\n\ndef get_perturbed_cluster(struc, p0, p1, eps):\n    s_new = struc.copy()\n    pos = s_new.positions\n    pos[p0, p1] += eps\n    cell = 17.22*np.eye(3)\n    p_struc = Atoms(s_new.symbols.numbers, positions=pos, cell=cell, pbc=True)\n    return p_struc\n\ndef get_perturbed_xtal(struc, p0, p1, eps):\n    pos = struc.positions.copy()\n    pos[p0, p1] += eps\n    p_struc = struc.copy()\n    p_struc.set_positions(pos)\n    return p_struc\n\ndef get_dPdR_xtal(xtal, eps):\n    p0 = calculator.calculate(xtal, derivative=True)\n    shp = p0['x'].shape\n    array1 = p0['dxdr']\n\n    for j in range(shp[0]):\n        for k in range(3):\n            struc = get_perturbed_xtal(xtal, j, k, eps)\n            p1 = calculator.calculate(struc)\n            array2 = (p1['x'] - p0['x'])/eps\n            #if np.linalg.norm(array2) > 1e-2: print(j, k, array2)\n            if not np.allclose(array1[:, j, :, k], array2, atol=1e-4):\n                print('xtal', j, k, '\\n', array1[:, j, :, k], '\\n', array2)\n            assert(np.allclose(array1[:, j, :, k], array2, atol=1e-4))\n\n# Descriptors Parameters\neps = 1e-8\nrc1 = 1.8\nrc2 = 3.5\nnmax, lmax = 2, 2\ncalculator = SO3(nmax=nmax, lmax=lmax, rcut=rc1)\ncalculator0 = SO3(nmax=nmax, lmax=lmax, rcut=rc2)\n\n# NaCl cluster\ncluster = bulk('NaCl', crystalstructure='rocksalt', a=5.691694, cubic=True)\ncluster = sort(cluster, tags=[0, 4, 1, 5, 2, 6, 3, 7])\ncluster.set_pbc((0,0,0))\ncluster = get_rotated_cluster(cluster, angle=0.1) # Must rotate\n\nxtal = pyxtal()\nxtal.from_prototype('graphite')\natoms = xtal.to_ase()\nP_ref = calculator.compute_p(atoms)[0]\n\n# Diamond\nclass TestCluster(unittest.TestCase):\n    struc = get_rotated_cluster(cluster)\n    p0 = calculator0.calculate(struc, derivative=True)\n    struc = get_rotated_cluster(cluster, 10, 'x')\n    p1 = calculator0.calculate(struc)\n\n    def test_SO3_rotation_variance(self):\n        array1 = self.p0['x']\n        array2 = self.p1['x']\n        assert(np.allclose(array1, array2))\n\n    def test_dPdR_vs_numerical(self):\n        shp = self.p0['x'].shape\n        array1 = self.p0['dxdr']\n\n        for j in range(shp[0]):\n            for k in range(3):\n                struc = get_perturbed_cluster(cluster, j, k, eps)\n                p2 = calculator0.calculate(struc)\n                array2 = (p2['x'] - self.p0['x'])/eps\n                assert(np.allclose(array1[:,j,:,k], array2, atol=1e-3))\n\nclass TestXtal(unittest.TestCase):\n\n    def test_dPdR_diamond(self):\n        c = pyxtal()\n        c.from_prototype('diamond')\n        get_dPdR_xtal(c.to_ase(), eps)\n\n    def test_dPdR_graphite(self):\n        c = pyxtal()\n        c.from_prototype('graphite')\n        get_dPdR_xtal(c.to_ase(), eps)\n\n    def test_dPdR_random(self):\n        x = [ 7.952, 2.606, 0.592, 0.926, 0.608, 0.307]\n        c = pyxtal()\n        c.from_spg_wps_rep(179, ['6a', '6a', '6a', '6a'], x)\n        get_dPdR_xtal(c.to_ase(), eps)\n\n    def test_dPdR_random_P(self):\n        x = [ 7.952, 2.606, 0.592, 0.926, 0.608, 0.307]\n        c = pyxtal()\n        c.from_spg_wps_rep(179, ['6a', '6a', '6a', '6a'], x)\n        atoms = c.to_ase()\n        p0 = calculator.compute_p(atoms)\n        _, p1 = calculator.compute_dpdr(atoms)\n        _, p2 = calculator.compute_dpdr_5d(atoms)\n        assert(np.allclose(p0, p1, atol=1e-3))\n        assert(np.allclose(p0, p2, atol=1e-3))\n\nclass TestSimilarity(unittest.TestCase):\n\n    def test_sim_diamond(self):\n        x = [3.0]\n        c = pyxtal()\n        c.from_spg_wps_rep(227, ['8a'], x, ['C'])\n        atoms = c.to_ase()\n        x = c.get_1d_rep_x()\n        dSdx1 = numerical_dSdx(x, c, P_ref)\n        dSdx2 = calculate_dSdx_supercell(x, c, P_ref)\n        #print(dSdx1, dSdx2)\n        assert(np.allclose(dSdx1, dSdx2, rtol=1e-1, atol=1e+1))\n\n    def test_dPdR_random(self):\n        #x = [ 7.952, 2.606, 0.592, 0.926, 0.608, 0.307]\n        x = [9.55,  2.60,  0.48,  0.88,  0.76,   0.36]\n        c = pyxtal()\n        c.from_spg_wps_rep(179, ['6a', '6a', '6a', '6a'], x)\n        atoms = c.to_ase()\n        dSdx1 = numerical_dSdx(x, c, P_ref)\n        dSdx2 = calculate_dSdx_supercell(x, c, P_ref)\n        #print(dSdx1, dSdx2)\n        assert(np.allclose(dSdx1, dSdx2, rtol=1e-1, atol=1e+1))\n\nif __name__ == \"__main__\":\n    unittest.main()\n"
  },
  {
    "path": "tests/test_all.py",
    "content": "# python -m unittest pyxtal/test_all.py\nimport importlib.util\nimport os\nimport unittest\n\nimport numpy as np\nimport pymatgen.analysis.structure_matcher as sm\nfrom pymatgen.core import Lattice as pmg_Lattice\nfrom pymatgen.core import Structure\nfrom pymatgen.core.operations import SymmOp\n\nfrom pyxtal import pyxtal\nfrom pyxtal.lattice import Lattice\nfrom pyxtal.operations import get_inverse\nfrom pyxtal.symmetry import Group, Hall, Wyckoff_position\n\n\ndef resource_filename(package_name, resource_path):\n    package_path = importlib.util.find_spec(package_name).submodule_search_locations[0]\n    return os.path.join(package_path, resource_path)\n\n\ncif_path = resource_filename(\"pyxtal\", \"database/cifs/\")\nl01 = Lattice.from_matrix([[4.08, 0, 0], [0, 9.13, 0], [0, 0, 5.50]])\nl02 = Lattice.from_para(4.08, 9.13, 5.50, 90, 90, 90)\nwp1 = Wyckoff_position.from_group_and_index(36, 0)\nwp2 = Wyckoff_position.from_group_and_letter(36, \"4a\")\n\n\nclass TestNeighbour(unittest.TestCase):\n    def test_packing(self):\n        c = pyxtal(molecular=True)\n        for data in [\n            (\"aspirin\", 14),\n            (\"WEXBOS\", 14),\n            (\"MERQIM\", 12),\n            (\"LAGNAL\", 16),\n            (\"YICMOP\", 14),\n            (\"LUFHAW\", 18),\n            (\"coumarin\", 14),\n            (\"HAHCOI\", 14),\n            (\"JAPWIH\", 14),\n            (\"AXOSOW01\", 14),\n            (\"PAHYON01\", 13),\n            (\"xxvi\", 15),\n            (\"resorcinol\", 14),\n        ]:\n            (name, CN) = data\n            c.from_seed(seed=cif_path + name + \".cif\", molecules=[name])\n            ds, _, _, _, engs = c.get_neighboring_molecules(0, 1.5)\n            # print(engs)\n            # print(name, CN, len(ds))\n            assert len(ds) == CN\n\n\nclass TestSubgroup(unittest.TestCase):\n    def test_cubic_cubic(self):\n        sites = [\"8a\", \"32e\"]\n        numIons = int(sum([int(i[:-1]) for i in sites]))\n        C1 = pyxtal()\n        C1.from_random(3, 227, [\"C\"], [numIons], sites=[sites])\n        pmg_s1 = C1.to_pymatgen()\n        # sga1 = SpacegroupAnalyzer(pmg_s1).get_space_group_symbol()\n\n        C2s = C1.subgroup(eps=1e-5)\n        for C2 in C2s:\n            pmg_s2 = C2.to_pymatgen()\n            # sga2 = SpacegroupAnalyzer(pmg_s2).get_space_group_symbol()\n            # prevent some numerical error\n            if not sm.StructureMatcher().fit(pmg_s1, pmg_s2):\n                C12 = pyxtal()\n                C12.from_seed(pmg_s2)\n                pmg_12 = C12.to_pymatgen()\n                assert sm.StructureMatcher().fit(pmg_s1, pmg_12)\n\n            # self.assertTrue(sm.StructureMatcher().fit(pmg_s1, pmg_s2))\n\n        C1.subgroup(perms={\"C\": \"Si\"}, H=216)\n\n    def test_from_seed(self):\n        coords = [[0, 0, 0], [0.75, 0.5, 0.75]]\n        lattice = pmg_Lattice.from_parameters(a=3.84, b=3.84, c=3.84, alpha=120, beta=90, gamma=60)\n        struct = Structure(lattice, [\"Si\", \"C\"], coords)\n        s1 = pyxtal()\n        s1.from_seed(struct)\n        s2 = s1.subgroup_once(eps=0)\n        pmg_s1 = s1.to_pymatgen()\n        pmg_s2 = s2.to_pymatgen()\n        assert sm.StructureMatcher().fit(pmg_s1, pmg_s2)\n\n    def test_molecules(self):\n        for name in [\n            \"aspirin\",\n            \"resorcinol\",\n            \"coumarin\",\n            \"HAHCOI\",\n            \"xxvi\",\n            \"WEXBOS\",\n            \"MERQIM\",\n            \"LAGNAL\",\n            \"YICMOP\",\n            \"LUFHAW\",\n            \"JAPWIH\",\n            \"AXOSOW01\",\n            \"PAHYON01\",\n        ]:\n            cif = cif_path + name + \".cif\"\n            struc = pyxtal(molecular=True)\n            struc.from_seed(seed=cif, molecules=[name])\n            pmg_struc = struc.to_pymatgen()\n            pmg_s1 = Structure.from_file(cif, primitive=True)\n            assert sm.StructureMatcher().fit(pmg_struc, pmg_s1)\n\n            Cs = struc.subgroup(eps=0, max_cell=1)\n            for C in Cs:\n                pmg_s2 = C.to_pymatgen()\n                assert sm.StructureMatcher().fit(pmg_struc, pmg_s2)\n\n    def test_hydrate(self):\n        # glycine dihydrate\n        cif = cif_path + \"gdh.cif\"\n        struc = pyxtal(molecular=True)\n        struc.from_seed(seed=cif, molecules=[\"Glycine-z\", \"H2O\"])\n        pmg_struc = struc.to_pymatgen()\n        pmg_s1 = Structure.from_file(cif, primitive=True)\n        assert sm.StructureMatcher().fit(pmg_struc, pmg_s1)\n\n    def test_special(self):\n        cif = cif_path + \"191.vasp\"\n        struc = pyxtal()\n        struc.from_seed(seed=cif)\n        for _i in range(100):\n            struc.subgroup_once(0.2, None, None, \"t+k\", 2)\n\n\nclass TestLoad(unittest.TestCase):\n    def test_atomic(self):\n        s1 = pyxtal()\n        s1.from_random(3, 36, [\"C\", \"Si\"], [4, 8])\n        s2 = pyxtal()\n        s2.load_dict(s1.save_dict())\n        pmg_s1 = s1.to_pymatgen()\n        pmg_s2 = s2.to_pymatgen()\n        assert sm.StructureMatcher().fit(pmg_s1, pmg_s2)\n\n    def test_molecular(self):\n        s1 = pyxtal(molecular=True)\n        s1.from_random(3, 36, [\"H2O\"], [4])\n        s2 = pyxtal()\n        s2.load_dict(s1.save_dict())\n        pmg_s1 = s1.to_pymatgen()\n        pmg_s2 = s2.to_pymatgen()\n        assert sm.StructureMatcher().fit(pmg_s1, pmg_s2)\n\n\nclass TestPartial(unittest.TestCase):\n    def test_Al2SiO5(self):\n        cell = Lattice.from_para(7.8758, 7.9794, 5.6139, 90, 90, 90)\n        spg = 58\n        elements = [\"Al\", \"Si\", \"O\"]\n        composition = [8, 4, 20]\n        sites = [\n            {\n                \"4e\": [0.0000, 0.0000, 0.2418],\n                \"4g\": [0.1294, 0.6392, 0.0000],\n            },\n            {\"4g\": [0.2458, 0.2522, 0.0000]},\n            [],  # empty for oxygen\n        ]\n\n        s = pyxtal()\n        s.from_random(3, spg, elements, composition, lattice=cell, sites=sites)\n        assert s.valid\n\n        sites2 = [\n            {\n                \"4e\": [0.0000, 0.0000, 0.2418],\n                \"4g\": [0.1294, 0.6392, 0.0000],\n            },\n            {\"4g\": [0.2458, 0.2522, 0.0000]},\n            {\"4g\": [0.4241, 0.3636, 0.0000]},  # partial info on O\n        ]\n\n        s = pyxtal()\n        s.from_random(3, spg, elements, composition, lattice=cell, sites=sites2)\n        assert s.valid\n\n\nclass Test_resort(unittest.TestCase):\n    def test_molecule(self):\n        rng = np.random.default_rng(0)\n        # glycine dihydrate\n        cif = cif_path + \"gdh.cif\"\n        struc = pyxtal(molecular=True)\n        struc.from_seed(seed=cif, molecules=[\"Glycine-z\", \"H2O\"])\n        N1 = len(struc.mol_sites)\n        l = list(range(len(struc.mol_sites)))\n        rng.shuffle(l)\n        struc.mol_sites = [struc.mol_sites[i] for i in l]\n        struc.resort()\n        N2 = len(struc.mol_sites)\n        assert N1 == N2\n\n    def test_atom(self):\n        cif = cif_path + \"aspirin.cif\"\n        struc = pyxtal()\n        rng = np.random.default_rng(0)\n        struc.from_seed(seed=cif)\n        N1 = len(struc.atom_sites)\n        l = list(range(len(struc.atom_sites)))\n        rng.shuffle(l)\n        struc.atom_sites = [struc.atom_sites[i] for i in l]\n        struc.resort()\n        N2 = len(struc.atom_sites)\n        assert N1 == N2\n\n#class Test_rng(unittest.TestCase):\n#    \"\"\"\n#    Test rng generators in two ways\n#    1. random_state as a fixed integer\n#    2. random_state as a generator\n#    \"\"\"\n#    def test_rng_integer(self):\n#        xtal = pyxtal(); xtal.from_random(3, 194, ['C'], [8], random_state=0)\n#        xs = xtal.get_1d_rep_x()\n#        assert np.sum((xs - np.array([4.679, 6.418, 0.943])**2)) < 1e-2\n#\n#        xtal = pyxtal(molecular=True)\n#        xtal.from_random(3, 19, ['aspirin'], [4], random_state=0)\n#        rep = xtal.get_1D_representation().x\n#        d1 = np.array([115, 17.294, 15.077, 9.018])\n#        d2 = np.array([0.677, 0.243, 0.612, 0.057, -1.194, 0.110])\n#        assert np.sum((rep[0] - d1)**2) < 1e-2\n#        assert np.sum((rep[1][1:-1] - d2)**2) < 1e-2\n#\n#\n#    def test_rng_generator(self):\n#        rng = np.random.default_rng(1)\n#        xtal = pyxtal()\n#        xtal.from_random(3, 194, ['C'], [8], random_state=rng)\n#        xs = xtal.get_1d_rep_x()\n#        assert np.sum((xs - np.array([7.442, 2.110])**2)) < 1e-2\n#\n#        xtal.from_random(3, 194, ['C'], [8], random_state=rng)\n#        xs = xtal.get_1d_rep_x()\n#        assert np.sum((xs - np.array([5.864, 5.809])**2)) < 1e-2\n#\n#        xtal = pyxtal(molecular=True)\n#        xtal.from_random(3, 19, ['aspirin'], [4], random_state=rng)\n#        rep = xtal.get_1D_representation().x\n#        d1 = np.array([115, 14.207, 18.334, 9.028])\n#        d2 = np.array([0.294, 0.627, 0.528, 157.052, -11.968, -171.851])\n#        assert np.sum((rep[0] - d1)**2) < 1e-2\n#        assert np.sum((rep[1][1:-1] - d2)**2) < 1e-2\n#\n#        xtal.from_random(3, 19, ['aspirin'], [4], random_state=rng)\n#        rep = xtal.get_1D_representation().x\n#        d1 = np.array([115, 12.763, 16.639, 11.073])\n#        d2 = np.array([0.504, 0.127, 0.585, -21.523, -68.406, 152.839])\n#        assert np.sum((rep[0] - d1)**2) < 1e-2\n#        assert np.sum((rep[1][1:-1] - d2)**2) < 1e-2\n\nclass Test_operations(unittest.TestCase):\n    def test_inverse(self):\n        coord0 = [0.35, 0.1, 0.4]\n        coords = np.array(\n            [\n                [0.350, 0.100, 0.400],\n                [0.350, 0.100, 0.000],\n                [0.350, 0.100, 0.000],\n                [0.350, 0.000, 0.667],\n                [0.350, 0.000, 0.250],\n                [0.350, 0.350, 0.400],\n                [0.350, 0.350, 0.500],\n                [0.350, 0.350, 0.000],\n                [0.350, 0.350, 0.350],\n                [0.100, 0.100, 0.100],\n                [0.400, 0.400, 0.400],\n                [0.350, 0.000, 0.000],\n                [0.000, 0.100, 0.400],\n                [0.350, 0.000, 0.400],\n            ]\n        )\n        xyzs = [\n            \"x,y,z\",\n            \"x,y,0\",\n            \"y,x,0\",\n            \"x,0,2/3\",\n            \"0,x,1/4\",\n            \"x,x,z\",\n            \"x,-x,1/2\",\n            \"2x,x,0\",\n            \"-2x,-0.5x,-x+1/4\",\n            \"-2y,-0.5y,-y+1/4\",\n            \"-2z,-0.5z,-z+1/4\",\n            \"0,0,x\",\n            \"-y/2+1/2,-z,0\",\n            \"-z,-x/2+1/2,0\",\n        ]\n\n        for i, xyz in enumerate(xyzs):\n            op = SymmOp.from_xyz_str(xyz)\n            inv_op = get_inverse(op)\n            coord1 = op.operate(coord0)\n            coord2 = inv_op.operate(coord1)\n            assert np.allclose(coord2, coords[i], rtol=0.01)\n            # strs = \"{:6.3f} {:6.3f} {:6.3f}\".format(*coord0)\n            # strs += \"  {:12s}  \".format(op.as_xyz_str())\n            # strs += \"{:6.3f} {:6.3f} {:6.3f}\".format(*coord1)\n            # strs += \"  {:12s}  \".format(inv_op.as_xyz_str())\n            # strs += \"{:6.3f} {:6.3f} {:6.3f}\".format(*coord2)\n            # print(strs)\n\n    def test_swap_wp(self):\n        g = Group(38)\n        wp = g[4]\n        wp1, trans = wp.swap_axis([1, 0, 2])\n\n        g = Group(71)\n        wp = g[5]\n        wp1, trans = wp.swap_axis([0, 2, 1])\n        wp1, trans = wp.swap_axis([1, 2, 0])\n        wp1, trans = wp.swap_axis([2, 1, 0])\n\n    def test_alternative(self):\n        for name in [\"BTO-Amm2\", \"lt_quartz\", \"GeF2\", \"lt_cristobalite\", \"PVO\"]:\n            s = pyxtal()\n            s.from_seed(cif_path + name + \".cif\")\n            pmg_s1 = s.to_pymatgen()\n            strucs = s.get_alternatives()\n            for struc in strucs:\n                pmg_s2 = struc.to_pymatgen()\n                assert sm.StructureMatcher().fit(pmg_s1, pmg_s2)\n\n    def test_wyc_sets(self):\n        for i in range(1, 229):\n            Group(i, quick=True).get_alternatives()[\"No.\"]\n\n    def test_trans(self):\n        mats = [\n            np.array([[1, 0, 1], [0, 1, 0], [0, 0, 1]]),\n            np.array([[1, 0, -1], [0, 1, 0], [0, 0, 1]]),\n        ]\n\n        for n in range(3, 16):\n            hns = Hall(n).hall_numbers\n            for hn in hns:\n                g = Group(hn, use_hall=True)\n                for i in range(1, len(g)):\n                    wp = g[i].copy()\n                    for mat in mats:\n                        wp.transform_from_matrix(mat)\n                        c1, c2 = wp.update()\n                        # print(hn, i, (c1 or c2))\n                        assert c1 or c2\n\n    # def test_image(self):\n    #    from pyxtal.descriptor import spherical_image\n    #    c1 = pyxtal(molecular=True)\n    #    for name in ['benzene', 'aspirin', 'naphthalene']:\n    #        c1.from_seed(seed=cif_path+name+\".cif\", molecules=[name])\n    #        for model in ['contact', 'molecule']:\n    #            sph = spherical_image(c1, model=model)\n    #            sph.align()\n    #            print(name, model)\n\n    class TestSubstitution(unittest.TestCase):\n        def test_substitute_1_2(self):\n            data = [\n                (227, [\"8a\"], [3.6], [\"C\"], 1),\n                (\n                    92,\n                    [\"4a\", \"8b\"],\n                    [5.0847, 7.0986, 0.2944, 0.0941, 0.2410, 0.8256],\n                    [\"Si\", \"O\"],\n                    1,\n                ),\n            ]\n            for d in data:\n                (spg, wps, rep, elements, N) = d\n                s = pyxtal()\n                xtals = s.from_spg_wps_rep(spg, wps, rep, elements)\n                assert len(xtals) == N\n\n        def test_criteria(self):\n            criteria = {\"CN\": {\"B\": 4, \"N\": 4}, \"cutoff\": 1.9, \"exclude_ii\": True}\n            xtals = pyxtal().substitute_1_2({\"C\": [\"B\", \"N\"]}, ratio=[1, 1], criteria=criteria)\n            assert xtals[0].check_validity(criteria)\n\n\nif __name__ == \"__main__\":\n    unittest.main()\n"
  },
  {
    "path": "tests/test_crystal.py",
    "content": "# python -m unittest pyxtal/test_all.py\nimport importlib.util\nimport os\nimport unittest\n\nimport pymatgen.analysis.structure_matcher as sm\nfrom pymatgen.core import Structure\n\nfrom pyxtal import pyxtal\nfrom pyxtal.lattice import Lattice\nfrom pyxtal.symmetry import Hall, Wyckoff_position\n\n\ndef resource_filename(package_name, resource_path):\n    package_path = importlib.util.find_spec(package_name).submodule_search_locations[0]\n    return os.path.join(package_path, resource_path)\n\n\ncif_path = resource_filename(\"pyxtal\", \"database/cifs/\")\nl01 = Lattice.from_matrix([[4.08, 0, 0], [0, 9.13, 0], [0, 0, 5.50]])\nl02 = Lattice.from_para(4.08, 9.13, 5.50, 90, 90, 90)\nwp1 = Wyckoff_position.from_group_and_index(36, 0)\nwp2 = Wyckoff_position.from_group_and_letter(36, \"4a\")\n\n\nclass TestDof(unittest.TestCase):\n    def test_atomic(self):\n        s = pyxtal()\n        s.from_random(3, 225, [\"C\"], [8])\n        ans = s.get_dof()\n        assert s.lattice.dof == 1\n        assert ans == 1\n\n\nclass TestAtomic3D(unittest.TestCase):\n\n    def test_partial(self):\n        cell = Lattice.from_para(7.8758, 7.9794, 5.6139, 90, 90, 90, ltype='orthorhombic')\n        spg = 58\n        elements = ['Al', 'Si', 'O']\n        composition = [8, 4, 20]\n\n        sites = [{\"4e\": [0.0000, 0.0000, 0.2418],\n                  \"4g\": [0.1294, 0.6392, 0.0000],\n                 },\n                 {\"4g\": [0.2458, 0.2522, 0.0000]},\n                 {\"4g\": [[0.4241, 0.3636, 0.0000], [0.5538, 0.2648, 0.0000]]},\n                ]\n\n        s = pyxtal()\n        s.from_random(3, spg, elements, composition, lattice=cell, sites=sites)\n        assert s.valid\n\n    def test_single_specie(self):\n        struc = pyxtal()\n        struc.from_random(3, 225, [\"C\"], [4], 1.2, conventional=False)\n        struc.to_file(\"tmp-3d.cif\")\n        os.remove(\"tmp-3d.cif\")\n        assert struc.valid\n\n\n    def test_mutiple_species(self):\n        struc = pyxtal()\n        struc.from_random(3, 99, [\"Ba\", \"Ti\", \"O\"], [1, 1, 3], 1.2)\n        assert struc.valid\n\n        struc.from_random(3, 99, [\"Ba\", \"Ti\", \"O\"], [1, 1, 3], 1.2, use_asu=True)\n        assert struc.valid\n\n    def test_preassigned_sites(self):\n        sites = [[\"1b\"], [\"1b\"], [\"2c\", \"1b\"]]\n        struc = pyxtal()\n        struc.from_random(3, 99, [\"Ba\", \"Ti\", \"O\"], [1, 1, 3], 1.0, sites=sites)\n        assert struc.valid\n\n        struc = pyxtal()\n        struc.from_random(3, 225, [\"C\"], [12], 1.0, sites=[[\"4a\", \"8c\"]])\n        assert struc.valid\n\n        struc.from_random(3, 99, [\"Ba\", \"Ti\", \"O\"], [1, 1, 3], 1.0, sites=sites, use_asu=True)\n        assert struc.valid\n\n        struc.from_random(3, 225, [\"C\"], [12], 1.0, sites=[[\"4a\", \"8c\"]], use_asu=True)\n        assert struc.valid\n\n    def test_read(self):\n        # test reading xtal from cif\n        for name in [\"FAU\", \"NaSb3F10\", \"PVO\", \"lt_quartz\"]:\n            cif_file = cif_path + name + \".cif\"\n            pmg1 = Structure.from_file(cif_file, primitive=True)\n            struc = pyxtal()\n            struc.from_seed(seed=cif_file)\n            pmg_struc = struc.to_pymatgen()\n            assert sm.StructureMatcher().fit(pmg_struc, pmg1)\n\n    def test_read_spglib(self):\n        # test reading xtal from cif\n        for name in [\"FAU\"]:\n            cif_file = cif_path + name + \".cif\"\n            pmg1 = Structure.from_file(cif_file, primitive=True)\n            struc = pyxtal()\n            struc.from_seed(seed=cif_file, style=\"spglib\")\n            pmg_struc = struc.to_pymatgen()\n            assert sm.StructureMatcher().fit(pmg_struc, pmg1)\n        # more space groups\n        for name in [\"I41amd\", \"P4nmm\", \"Pmmn\", \"Pn3m\", \"Fd3\", \"Pn3\"]:\n            cif_file = cif_path + name + \".vasp\"\n            pmg1 = Structure.from_file(cif_file, primitive=True)\n            struc = pyxtal()\n            struc.from_seed(seed=cif_file, style=\"spglib\")\n            pmg_struc = struc.to_pymatgen()\n            assert sm.StructureMatcher().fit(pmg_struc, pmg1)\n\n    def test_read_by_HN(self):\n        for name in [\"aspirin\"]:\n            cif_file = cif_path + name + \".cif\"\n            pmg1 = Structure.from_file(cif_file, primitive=True)\n            struc = pyxtal()\n            for hn in Hall(14).hall_numbers:\n                struc._from_pymatgen(pmg1, hn=hn)\n                pmg_struc = struc.to_pymatgen()\n                assert sm.StructureMatcher().fit(pmg_struc, pmg1)\n\n    def test_from_tabular(self):\n        xtal = pyxtal()\n        rep = [116,10.5754,10.7203,4.47208,1.5705,2.6561,2.0943,1,0.4447,0.3762,0.7526]\n        xtal.from_tabular_representation(rep, normalize=False)\n        assert xtal.valid == False\n        rep = [116,10.5754,10.7203,4.47208,1.5705,1.5705,1.5705,0,0.4447,0.3762,0.7526]\n        xtal.from_tabular_representation(rep, normalize=False)\n        assert xtal.valid == True\n\n        rep0 = xtal.get_tabular_representation(discrete_cell=True,\n                                               discrete=True,\n                                               N_grids=100)\n        assert(int(rep0[6]) == 50)\n\n        xtal.from_tabular_representation(rep0,\n                                         discrete_cell=True,\n                                         discrete=True,\n                                         N_grids=100)\n        assert(int(xtal.lattice.get_para(degree=True)[-1]) == 90)\n\n        reps = xtal.get_tabular_representations(N_wp=1,\n                                                discrete_cell=True,\n                                                discrete=True,\n                                                N_grids=100)\n        assert(len(reps)==8)\n\nclass TestAtomic2D(unittest.TestCase):\n    def test_single_specie(self):\n        struc = pyxtal()\n        struc.from_random(2, 20, [\"C\"], [4], 1.0, thickness=2.0)\n        struc.to_file(\"tmp-2d.cif\")\n        os.remove(\"tmp-2d.cif\")\n        assert struc.valid\n\n    def test_mutiple_species(self):\n        struc = pyxtal()\n        struc.from_random(2, 4, [\"Mo\", \"S\"], [2, 4], 1.0)\n        assert struc.valid\n\n\nclass TestAtomic1D(unittest.TestCase):\n    def test_single_specie(self):\n        struc = pyxtal()\n        struc.from_random(1, 20, [\"C\"], [4], 1.0)\n        struc.to_file(\"tmp-1d.cif\")\n        os.remove(\"tmp-1d.cif\")\n        assert struc.valid\n\n    def test_mutiple_species(self):\n        struc = pyxtal()\n        struc.from_random(1, 4, [\"Mo\", \"S\"], [2, 4], 1.0)\n        assert struc.valid\n\n\nclass TestCluster(unittest.TestCase):\n    def test_multi_sites(self):\n        struc = pyxtal()\n        struc.from_random(0, 1, [\"C\"], [60], 1.0)\n        assert struc.valid\n\n        struc = pyxtal()\n        struc.from_random(0, 3, [\"C\"], [60], 1.0)\n        assert struc.valid\n\n    def test_single_specie(self):\n        struc = pyxtal()\n        struc.from_random(0, \"Ih\", [\"C\"], [60], 1.0)\n        assert struc.valid\n\n    def test_mutiple_species(self):\n        struc = pyxtal()\n        struc.from_random(0, 4, [\"Mo\", \"S\"], [2, 4], 1.0)\n        assert struc.valid\n\nif __name__ == \"__main__\":\n    unittest.main()\n"
  },
  {
    "path": "tests/test_ff.py",
    "content": "import os\nfrom pyxtal.db import database\nfrom pyxtal.interface.charmm import CHARMM\nfrom ost.parameters import ForceFieldParameters\n\n# Get pyxtal\ndb = database('pyxtal/database/test.db')\nxtal = db.get_pyxtal('ACSALA') # missing data??\nsmiles = [mol.smile for mol in xtal.molecules]\n\n# setup simulation\nfor i, method in enumerate(['am1bcc']):\n    print('\\n', method)\n    dir_name = 'test1'\n    if not os.path.exists(dir_name): os.mkdir(dir_name)\n    params = ForceFieldParameters(smiles, 'gaff')\n    parameters = params.params_init.copy()\n\n    os.chdir(dir_name)\n    xtal.to_file('init.cif')\n    atoms = xtal.get_forcefield('gaff', code='charmm', chargemethod=method, parameters=parameters)\n    atom_info = atoms.get_atom_info()\n    calc = CHARMM(xtal, prefix='charmm', atom_info=atom_info)\n    #print(calc.structure.lattice)\n    calc.run() #clean=False)\n    print(calc.structure.energy)\n    print(calc.structure.lattice)\n    calc.structure.to_file('opt.cif')\n"
  },
  {
    "path": "tests/test_group.py",
    "content": "# python -m unittest pyxtal/test_all.py\nimport importlib.util\nimport os\nimport unittest\n\nfrom pyxtal import pyxtal\nfrom pyxtal.lattice import Lattice\nfrom pyxtal.symmetry import Group, Wyckoff_position\nfrom pyxtal.util import generate_wp_lib\n\n\ndef resource_filename(package_name, resource_path):\n    package_path = importlib.util.find_spec(package_name).submodule_search_locations[0]\n    return os.path.join(package_path, resource_path)\n\n\ncif_path = resource_filename(\"pyxtal\", \"database/cifs/\")\nl01 = Lattice.from_matrix([[4.08, 0, 0], [0, 9.13, 0], [0, 0, 5.50]])\nl02 = Lattice.from_para(4.08, 9.13, 5.50, 90, 90, 90)\nwp1 = Wyckoff_position.from_group_and_index(36, 0)\nwp2 = Wyckoff_position.from_group_and_letter(36, \"4a\")\n\n\nclass TestGroup(unittest.TestCase):\n    def test_generate_wp_lib(self):\n        wps = generate_wp_lib([227, 228], composition=[1, 2])\n        assert len(wps) == 18\n        wps = generate_wp_lib([227, 228], composition=[1, 1, 3])\n        assert len(wps) == 9\n\n    def test_list_wyckoff_combinations(self):\n        g = Group(64)\n        a1, _, _ = g.list_wyckoff_combinations([4, 2])\n        assert len(a1) == 0\n        a2, _, _ = g.list_wyckoff_combinations([4, 8], quick=False)\n        assert len(a2) == 8\n\n    def test_print_group_and_dof(self):\n        for d in [(1, 6), (15, 4), (60, 3), (143, 2), (208, 1)]:\n            (sg, dof_ref) = d\n            g = Group(sg)\n            dof = g.get_lattice_dof()\n            assert dof == dof_ref\n\n    def test_get_spg_symmetry_object(self):\n        spg_list = [14, 36, 62, 99, 143, 160, 225, 230] #182, 191,\n        ans = [32, 18, 36, 21, 16, 19, 58, 58] # 24, 48\n        for spg, num in zip(spg_list, ans):\n            g = Group(spg)\n            ss = g.get_spg_symmetry_object()\n            matrix = ss.to_matrix_representation()\n            assert num == sum(sum(matrix))\n\n    def test_short_path(self):\n        g = Group(217)\n        path = g.short_path_to_general_wp(7)\n        assert path[-1][2] == 145\n\n    def test_spg_symmetry(self):\n        N_polar, N_centro, N_chiral = 0, 0, 0\n        for sg in range(1, 231):\n            g = Group(sg, quick=True)\n            _pg, polar, centro, chiral = g.point_group, g.polar, g.inversion, g.chiral\n            if polar:\n                N_polar += 1\n            if centro:\n                N_centro += 1\n            if chiral:\n                N_chiral += 1\n        assert N_polar == 68\n        assert N_centro == 92\n        assert N_chiral == 65\n\n    def test_ferroelectric(self):\n        pairs = [(4, 1), (187, 4), (222, 5)]\n        for pair in pairs:\n            (sg, N) = pair\n            assert len(Group(sg, quick=True).get_ferroelectric_groups()) == N\n\n    def test_check_compatible(self):\n        assert Group(225).check_compatible([64, 28, 24]) == (True, True)\n        assert Group(227).check_compatible([8]) == (True, False)\n        assert Group(227).check_compatible([4]) == (False, False)\n        assert Group(19).check_compatible([6]) == (False, False)\n        assert Group(221).check_compatible([15, 16, 17, 21]) == (True, True)\n        assert Group(221).check_compatible([15, 16, 2, 2]) == (False, False)\n\n    def test_subgroup_composition(self):\n        g = Group(154)\n        comps = g.get_subgroup_composition([[2], [0]], g_types=[\"t\", \"k\"])\n        assert comps[0] == (5, [[2, 0], [0, 0, 0]], 27)\n        assert comps[1] == (145, [[0], [0, 0]], 18)\n        assert comps[2] == (152, [[0], [0, 0]], 18)\n        assert comps[3] == (152, [[2, 1], [0, 0]], 18)\n        assert len(comps) == 8\n\n    def test_search_supergroup_paths(self):\n        paths = Group(59, quick=True).search_supergroup_paths(139, 2)\n        assert paths == [[71, 139], [129, 139], [137, 139]]\n\n    def test_get_splitters(self):\n        s = pyxtal()\n        s.from_seed(cif_path + \"3-G139.cif\")\n        g = Group(225)\n        solutions = g.get_splitters_from_structure(s, \"t\")\n        assert len(solutions) == 3\n\n    def test_add_k_transitions(self):\n        paras = [\n            (189, 26, 6),\n            (11, 6, 2),\n            (62, 33, 3),\n            (63, 33, 5),\n        ]\n\n        for p in paras:\n            (g, h, n_path) = p\n            gr = Group(g, quick=True)\n            path = gr.search_subgroup_paths(h)[0]\n            solutions = gr.add_k_transitions(path)\n            assert len(solutions) == n_path\n\n    def test_to_subgroup(self):\n        s = pyxtal(molecular=True)\n        s.from_seed(cif_path + \"benzene.cif\", [\"benzene\"])\n        c = s.to_subgroup()\n        assert c.valid\n\n    def test_get_wyckoff_position_from_xyz(self):\n        g = Group(5)\n        pos = [\n            ([0.0, 0.0, 0.0], \"2a\"),\n            ([0.5, 0.5, 0.5], None),\n            ([0.1, 0.0, 0.1], \"4c\"),\n            ([0.5, 0.0, 0.0], None),\n            ([0.0, 0.1, 0.0], \"2a\"),\n            ([0.0, 0.5, 0.5], \"2b\"),\n            ([0.1, 0.2, 0.3], \"4c\"),\n        ]\n        for d in pos:\n            (p0, wp0) = d\n            wp = g.get_wyckoff_position_from_xyz(p0)\n            if wp is None:\n                assert wp0 is None\n            else:\n                assert wp.get_label() == wp0\n\n    def test_short_path_to_general_wp(self):\n        data = [('t', 0, 141, ['16h']), ('t', 6, 122, ['16e'])]\n        G = Group(227)\n        assert G.short_path_to_general_wp(4) == data\n\nif __name__ == \"__main__\":\n    unittest.main()\n"
  },
  {
    "path": "tests/test_jl.py",
    "content": "from juliacall import Main as jl\n# Import the Julia package manager\njl.seval(\"using CrystalNets\")\nprint(\"Success CrystalNets\")\n\ndata = \"\"\"\n12,4.6997,7.1199,3.6592,1.5708,2.1366,1.5708,0,0.438,0.8075,0.6503,2,0.0,0.9344,0.5,-1,-1.0,-1.0,-1.0,-1,-1.0,-1.0,-1.0,-1,-1.0,-1.0,-1.0,-1,-1.0,-1.0,-1.0,-1,-1.0,-1.0,-1.0,-1,-1.0,-1.0,-1.0\n43,10.1657,9.213,8.7536,1.5708,1.5708,1.5708,0,0.8343,0.3453,0.1644,0,0.3345,0.7476,0.8868,0,0.7693,0.9651,0.6999,0,0.8732,0.0387,0.0689,0,0.7571,0.9465,0.4255,0,0.9706,0.7866,0.5912,-1,-1.0,-1.0,-1.0,-1,-1.0,-1.0,-1.0\n\"\"\"\n\nimport numpy as np\nfrom pyxtal import pyxtal\nfrom pyxtal.lego.builder import mof_builder\n\nlines = data.strip().splitlines()\ndat = [list(map(float, line.split(','))) for line in lines]\n\nxtal = pyxtal(); xtal.from_prototype('graphite')\ncif_file = xtal.to_pymatgen()\n\nbuilder = mof_builder(['C'], [1], verbose=True)\nbuilder.set_descriptor_calculator(mykwargs={'rcut': 2.0})\nbuilder.set_reference_enviroments(cif_file)\nbuilder.set_criteria(CN={'C': [3]})\nprint(builder)\n\n\nxtals = []\nfor i in range(len(dat)):\n    rep = dat[i]\n    print(i, rep)\n    if (len(rep)-7)%4 == 1: rep = rep[1:]\n    xtal = pyxtal()\n    xtal.from_tabular_representation(rep, normalize=False)\n    if xtal.valid and len(xtal.atom_sites) > 0:\n        xtals.append(xtal)\n\nxtals_opt = builder.optimize_xtals(xtals,\n                                   minimizers=[('Nelder-Mead', 100),\n                                               ('L-BFGS-B', 400)],\n                                   early_quit=0.15)\nxtals = []\nbuilder.db.update_row_topology(overwrite=True, prefix='tmp')\nbuilder.db.clean_structures_spg_topology(dim=3)\n"
  },
  {
    "path": "tests/test_lattice.py",
    "content": "# python -m unittest pyxtal/test_all.py\nimport importlib.util\nimport os\nimport unittest\n\nimport numpy as np\nimport pymatgen.analysis.structure_matcher as sm\nfrom pymatgen.core import Structure\n\nfrom pyxtal import pyxtal\nfrom pyxtal.lattice import Lattice\nfrom pyxtal.symmetry import Group, Hall, Wyckoff_position\n\n\ndef resource_filename(package_name, resource_path):\n    package_path = importlib.util.find_spec(package_name).submodule_search_locations[0]\n    return os.path.join(package_path, resource_path)\n\n\ncif_path = resource_filename(\"pyxtal\", \"database/cifs/\")\nl01 = Lattice.from_matrix([[4.08, 0, 0], [0, 9.13, 0], [0, 0, 5.50]])\nl02 = Lattice.from_para(4.08, 9.13, 5.50, 90, 90, 90)\nwp1 = Wyckoff_position.from_group_and_index(36, 0)\nwp2 = Wyckoff_position.from_group_and_letter(36, \"4a\")\n\n\nclass TestLattice(unittest.TestCase):\n    def test_para_matrix(self):\n        assert np.allclose(l01.matrix, l02.matrix)\n\n    def test_swap(self):\n        l01.swap_axis(ids=[1, 0, 2])\n        abc = l01.get_para()[:3]\n        assert abc, np.array([9.13, 4.08, 5.5])\n\n    def test_optimize_once(self):\n        l3 = Lattice.from_para(4.08, 7.13, 5.50, 90, 38, 90, ltype=\"monoclinic\")\n        lat, tran, _ = l3.optimize_once()\n        assert abs(lat.beta - 1.495907) < 0.0001\n\n    def test_optimize_multi(self):\n        l4 = Lattice.from_para(71.364, 9.127, 10.075, 90.00, 20.80, 90.00, ltype=\"monoclinic\")\n        lat, _ = l4.optimize_multi(7)\n        assert abs(lat.beta - 1.7201) < 0.01\n\n    def test_setpara(self):\n        l0 = Lattice.from_matrix([[4.08, 0, 0], [0, 9.13, 0], [0, 0, 5.50]])\n        l0.set_para([5, 5, 5, 90, 90, 90])\n        assert l0.a == 5\n\n    def test_search_transformation(self):\n        l6 = Lattice.from_para(3.454, 3.401, 5.908, 90.00, 105.80, 90.00, ltype=\"monoclinic\")\n        l7 = Lattice.from_para(6.028, 3.419, 6.028, 90.00, 146.92, 90.00, ltype=\"monoclinic\")\n        l7, _ = l7.optimize_multi()\n        trans, diff = l7.search_transformation(l6)\n        l7 = l7.transform_multi(trans)\n        assert np.abs(l7.matrix - l6.matrix).sum() < 0.25\n\n    def test_is_valid_lattice(self):\n        l8 = Lattice.from_para(3.454, 3.401, 5.908, 90.00, 105.80, 91.00, ltype=\"monoclinic\")\n        l9 = Lattice.from_para(3.454, 3.401, 5.908, 90.00, 105.80, 90.00, ltype=\"monoclinic\")\n        l10 = Lattice.from_para(3.454, 3.401, 5.908, 90.00, 90.00, 90.00, ltype=\"cubic\")\n        assert not l8.is_valid_lattice()\n        assert l9.is_valid_lattice()\n        assert not l10.is_valid_lattice()\n\n    def test_from_1d_representation(self):\n        lat = Lattice.from_1d_representation([5.09, 6.11], \"trigonal\")\n        assert abs(lat.a - 5.09) < 0.001\n        assert abs(lat.c - 6.11) < 0.001\n        assert abs(lat.gamma - 2 / 3 * np.pi) < 0.001\n\n\nclass TestOptimizeLattice(unittest.TestCase):\n    def test_atomic(self):\n        c1 = pyxtal()\n        c1.from_seed(cif_path + \"LiCs.cif\", backend=\"pyxtal\")\n        pmg1 = c1.to_pymatgen()\n\n        c2 = c1.copy()\n        c2.optimize_lattice(1)\n        pmg2 = c2.to_pymatgen()\n        assert sm.StructureMatcher().fit(pmg1, pmg2)\n\n        c2.optimize_lattice(1)\n        pmg2 = c2.to_pymatgen()\n        assert sm.StructureMatcher().fit(pmg1, pmg2)\n\n        c3 = pyxtal()\n        c3.from_seed(cif_path + \"LiCs.cif\")\n        pmg3 = c3.to_pymatgen()\n        assert sm.StructureMatcher().fit(pmg1, pmg3)\n\n    def test_molecular_from_seed(self):\n        c1 = pyxtal(molecular=True)\n        c1.from_seed(seed=cif_path + \"aspirin-c.cif\", molecules=[\"aspirin\"])\n        c1.mol_sites[0].get_mol_object(0)\n        c1.mol_sites[0].get_mol_object(1)\n        pmg1 = c1.to_pymatgen()\n\n        c2 = c1.copy()\n        c2.optimize_lattice(1)\n        pmg2 = c2.to_pymatgen()\n        assert sm.StructureMatcher().fit(pmg1, pmg2)\n\n    def test_molecular_trans(self):\n        c1 = pyxtal(molecular=True)\n        c1.from_seed(seed=cif_path + \"aspirin.cif\", molecules=[\"aspirin\"])\n        pmg1 = c1.to_pymatgen()\n        c1.transform(trans=[[1, 0, 0], [0, 1, 0], [-1, 0, 1]])\n        pmg2 = c1.to_pymatgen()\n        c1.optimize_lattice()\n        pmg3 = c1.to_pymatgen()\n        assert sm.StructureMatcher().fit(pmg1, pmg2)\n        assert sm.StructureMatcher().fit(pmg2, pmg3)\n\n    def test_molecular_nonstd(self):\n        sgs = [5, 7, 8, 9, 12, 13, 14, 15]\n        c1 = pyxtal(molecular=True)\n        for sg in sgs:\n            hns = Hall(sg).hall_numbers\n            for hn in hns[1:]:\n                c1.from_random(3, hn, [\"aspirin\"], use_hall=True)\n                pmg1 = c1.to_pymatgen()\n                c2 = c1.copy()\n                c2.optimize_lattice(1)\n                pmg2 = c2.to_pymatgen()\n                assert sm.StructureMatcher().fit(pmg1, pmg2)\n                pmg3 = Structure.from_str(c1.to_file(), fmt=\"cif\")\n                assert sm.StructureMatcher().fit(pmg1, pmg3)\n\n    def test_molecular_from_random(self):\n        rng = np.random.default_rng(0)\n        sgs = [5, 7, 8, 12, 13, 14]\n        c1 = pyxtal(molecular=True)\n        for _i in range(20):\n            sg = rng.choice(sgs)\n            c1.from_random(3, sg, [\"aspirin\"])\n            pmg1 = c1.to_pymatgen()\n            c2 = c1.copy()\n            c2.optimize_lattice(1)\n            pmg2 = c2.to_pymatgen()\n            assert sm.StructureMatcher().fit(pmg1, pmg2)\n\n    def test_transform(self):\n        l = Lattice.from_para(48.005, 7.320, 35.864, 90.000, 174.948, 90.000, ltype=\"monoclinic\")\n        sites = [\n            [0.0000, 0.0000, 0.1250],\n            [0.2296, 0.7704, 0.5370],\n            [0.2296, 0.2296, 0.5370],\n            [0.5408, 0.0000, 0.6186],\n            [0.0000, 0.0000, 0.3074],\n        ]\n        c = pyxtal()\n        c.build(9, [\"S\"], [8], lattice=l, sites=[sites])\n        pmg0 = c.to_pymatgen()\n        c.optimize_lattice()\n        pmg1 = c.to_pymatgen()\n        assert sm.StructureMatcher().fit(pmg0, pmg1)\n\n    def test_build(self):\n        l = np.array([48.005, 7.320, 35.864, 90.000, 174.948, 90.000])\n        sites = [\n            [0.0000, 0.0000, 0.1250],\n            [0.2296, 0.7704, 0.5370],\n            [0.2296, 0.2296, 0.5370],\n            [0.5408, 0.0000, 0.6186],\n            [0.0000, 0.0000, 0.3074],\n        ]\n        c = pyxtal()\n        c.build(9, [\"S\"], [8], lattice=l, sites=[sites])\n        pmg0 = c.to_pymatgen()\n        l1 = c.lattice.matrix\n\n        c.optimize_lattice()\n        pmg1 = c.to_pymatgen()\n        assert sm.StructureMatcher().fit(pmg0, pmg1)\n\n        c1 = pyxtal()\n        c1.build(9, [\"S\"], [8], lattice=l1, sites=[sites])\n        c1.optimize_lattice()\n        pmg2 = c1.to_pymatgen()\n        assert sm.StructureMatcher().fit(pmg0, pmg2)\n\n    def test_build_1D(self):\n        lat = Lattice.from_para(6.8472, 6.8472, 3.3198, 90, 90, 90, \"tetragonal\")\n        c1 = pyxtal()\n        sites = [\n            [\n                (\"4g\", 0.9236547993389047, 0.0, 0.5),\n                (\"4f\", 0.39177300078207977, 0.0, 0.0),\n            ]\n        ]\n        c1.build(30, [\"C\"], [8], lat, sites=sites, dim=1)\n        assert c1.valid\n\n    def test_build_2D(self):\n        lat = Lattice.from_para(6.8472, 6.8472, 3.3198, 90, 90, 90, \"tetragonal\")\n        c1 = pyxtal()\n        sites = [[(\"4c\", 0.15, 0.50, 0.28), (\"4c\", 0.59, 0.85, 0.87)]]\n        c1.build(30, [\"C\"], [8], lat, sites=sites, dim=2)\n        assert c1.valid\n\n    # def test_build_0D(self):\n    #    lat = Lattice.from_para(2.85, 2.85, 2.85, 90, 90, 90, 'spherical')\n    #    c1 = pyxtal()\n    #    sites = [[('8b', 0.70, 0.70, 0.70)]]\n    #    c1.build(30, ['C'], [8], lat, sites=sites, dim=0)\n    #    self.assertTrue(c1.valid)\n\n    def test_transforms(self):\n        paras = [\n            (5.0317, 19.2982, 5.8004, 90.0000, 122.2672, 90.0000, \"monoclinic\", 6),\n            (5.0317, 19.2982, 5.8004, 90.0000, 57.7328, 90.0000, \"monoclinic\", 6),\n            (9.0640, 8.3522, 5.2856, 90.0000, 103.9699, 90.0000, \"monoclinic\", 3),\n            (9.4913, 8.5844, 5.3358, 90.0000, 110.0035, 90.0000, \"monoclinic\", 3),\n            (3.7727, 6.7490, 7.6446, 64.4392, 77.9087, 75.7214, \"triclinic\", 1),\n            (3.7297, 6.5421, 7.9915, 73.9361, 71.5867, 103.2590, \"triclinic\", 1),\n            (5.5740, 7.0902, 11.4529, 96.5703, 90.0224, 108.1857, \"triclinic\", 2),\n            (5.5487, 7.1197, 11.4349, 83.0223, 89.8479, 72.0003, \"triclinic\", 2),\n            (5.7985, 30.6352, 7.6374, 90.0000, 112.2615, 90.0000, \"monoclinic\", 3),\n            (5.8280, 30.5992, 7.6373, 90.0000, 112.6020, 90.0000, \"monoclinic\", 3),\n        ]\n\n        for i in range(int(len(paras) / 2)):\n            (a1, b1, c1, alpha1, beta1, gamma1, ltype1, N) = paras[i * 2]\n            (a2, b2, c2, alpha2, beta2, gamma2, ltype2, N) = paras[i * 2 + 1]\n            l1 = Lattice.from_para(a1, b1, c1, alpha1, beta1, gamma1, ltype=ltype1)\n            l2 = Lattice.from_para(a2, b2, c2, alpha2, beta2, gamma2, ltype=ltype2)\n            trans, diffs = l2.search_transformations(l1)\n            print(i, len(trans), N)\n            assert len(trans) == N\n\n            # print(\"\\nTarget:\", l1)\n            # print(\"Start :\", l2)\n            # if len(trans) == N:\n            # for tran, diff in zip(trans, diffs):\n            #    l = l2.transform_multi(tran)\n            #    strs = \"Success:\" + str(l) + \" {:6.3f} {:6.3f} {:6.3f}\".format(*diff)\n            #    print(strs)\n\n    def test_optlat_setting(self):\n        paras = [\n            (18.950, 10.914, 31.672, 90, 168.63, 90, \"monoclinic\"),\n            (48.005, 7.320, 35.864, 90, 174.948, 90, \"monoclinic\"),\n        ]\n        sites = [0.3600, 0.7500, 0.6743]\n        for para in paras:\n            (a, b, c, alpha, beta, gamma, ltype) = para\n            l = Lattice.from_para(a, b, c, alpha, beta, gamma, ltype=ltype)\n            for sg in range(3, 16):\n                mult = Group(sg, quick=True)\n                c = pyxtal()\n                c.build(sg, [\"S\"], [mult], lattice=l, sites=[[sites]])\n                pmg0 = c.to_pymatgen()\n                c0 = c.copy()\n                c0.optimize_lattice(standard=True)\n                pmg1 = c0.to_pymatgen()\n                c1 = c.copy()\n                c1.optimize_lattice(standard=False)\n                pmg2 = c1.to_pymatgen()\n                d1 = sm.StructureMatcher().get_rms_dist(pmg0, pmg1)\n                d2 = sm.StructureMatcher().get_rms_dist(pmg0, pmg2)\n                assert sum(d1) + sum(d2) < 0.001\n\nif __name__ == \"__main__\":\n    unittest.main()\n"
  },
  {
    "path": "tests/test_lego.py",
    "content": "# python -m unittest pyxtal/test_all.py\nimport unittest\nfrom pyxtal.lego.builder import builder\nfrom pyxtal import pyxtal\nimport random\nimport numpy as np\n\nxtal = pyxtal()\nxtal.from_prototype('graphite')\ncif_file = xtal.to_pymatgen()\n\nbu1 = builder(['C'], [1], verbose=False)\nbu1.set_descriptor_calculator(mykwargs={'rcut': 1.9})\nbu1.set_reference_enviroments(cif_file)\nbu1.set_criteria(CN={'C': [3]})\n\nxtal.from_spg_wps_rep(92, ['4a', '8b'], [5.085, 7.099, 0.294, 0.094, 0.241, 0.826], ['Si', 'O'])\ncif_file = xtal.to_pymatgen()\nbu2 = builder(['Si', 'O'], [1, 2], verbose=False)\nbu2.set_descriptor_calculator(mykwargs={'rcut': 2.4})\nbu2.set_reference_enviroments(cif_file)\nbu2.set_criteria(CN={'Si': [4], 'O': [2]}, exclude_ii=True)\n\nclass TestBuilder(unittest.TestCase):\n    #def test_gen_xtal(self):\n    #    print(\"test_gen_xtal\")\n    #    random.seed(0)\n    #    np.random.seed(0)\n    #    spg, wps = 191, [['6j', '6j', '6k']]\n    #    xtal, sim = builder1.generate_xtal(spg, wps, 10,\n    #                                       N_max = 1,\n    #                                       add_db = False,\n    #                                       random_state = 2)\n    #    assert sim < 1e-2\n\n    def test_opt_xtal(self):\n        print(\"test_opt_xtal\")\n        spg, wps = 179, ['6a', '6a', '6a', '6a']\n        for x in [\n                    [11.111, 2.640, 0.290, 0.751, 0.421, 0.872],\n                    [ 7.952, 2.606, 0.592, 0.926, 0.608, 0.307],\n        ]:\n            xtal = pyxtal()\n            xtal.from_spg_wps_rep(spg, wps, x, ['C']*len(wps))\n            xtal, sim, _ = bu1.optimize_xtal(xtal, add_db=False)\n            #print(xtal.get_1d_rep_x())\n            assert sim < 1e-2\n\n    def test_opt_xtal2(self):\n        print(\"test sio2\")\n        spg, wps = 92, ['4a', '8b']\n        for x in [[5.0, 7.1, 0.3, 0.1, 0.2, 0.8]]:\n            xtal = pyxtal()\n            xtal.from_spg_wps_rep(spg, wps, x, ['Si', 'O'])\n            xtal, sim, _ = bu2.optimize_xtal(xtal, add_db=False)\n            assert sim < 1e-2\n\n    def test_opt_xtals(self):\n        print(\"test_opt_xtals\")\n        spg, wps = 179, ['6a', '6a', '6a', '6a']\n        xtals = []\n        for x in [\n                    [11.111, 2.640, 0.290, 0.751, 0.421, 0.872],\n                    [ 7.952, 2.606, 0.592, 0.926, 0.608, 0.307],\n                 ]:\n            xtal = pyxtal()\n            xtal.from_spg_wps_rep(spg, wps, x, ['C']*len(wps))\n            xtals.append(xtal)\n        xtals = bu1.optimize_xtals(xtals, add_db=False)\n        assert len(xtals) == 2\n        #builder.optimize_xtals(xtals, opt_type='local', ncpu=2)\n\n    def test_opt_diamond(self):\n        xtal = pyxtal()\n        xtal.from_prototype('diamond')\n        sub_xtal = xtal.subgroup_once(H=166, eps=1e-4)\n        xtal, sim, _ = bu1.optimize_xtal(sub_xtal, add_db=False)\n        assert sim < 1e-2\n\n    #def test_ortho(self):\n    #    xtal = pyxtal()\n    #    xtal.from_spg_wps_rep(53,\n    #                          ['4h', '4h', '4h'],\n    #                          [2.365503,  3.005858, 12.789526,  0.003843,\n    #                           0.414543,  0.009659, 0.050974,  0.0076,  0.815])\n    #    xtal, sim, _ = bu1.optimize_xtal(xtal, opt_type='global')\n    #    assert sim < 1e-2\n\n\n    def test_diamond(self):\n        print(\"test_diamond\")\n        xtal = pyxtal()\n        xtal.from_spg_wps_rep(227, ['8a'], [3.6], ['C'])\n        xtals = xtal.subgroup(group_type='t+k')[7:]\n        print(\"\\nFirst split\", xtal.group.number, len(xtals))\n        for i, xtal1 in enumerate(xtals):\n            xtal1s = xtal1.subgroup(group_type='t+k', max_cell=4)\n            print(\"\\n2nd split\", i, xtal1.group.number, len(xtal1s))\n            for _xtal1 in xtal1s[:3]:\n                _xtal1.optimize_lattice(standard=True)\n                final = _xtal1.subgroup_once(group_type='t+k')\n                if final is not None:\n                    #header = \"{:3d} => \".format(xtal.group.number)\n                    #header += \"{:3d} => \".format(xtal1.group.number)\n                    #header += \"{:3d} => \".format(_xtal1.group.number)\n                    #header += \"{:3d} \".format(final.group.number)\n                    #print(final.get_xtal_string(header=header))\n                    bu1.optimize_xtal(final, add_db=False)\n\nif __name__ == \"__main__\":\n    unittest.main()\n"
  },
  {
    "path": "tests/test_mem.py",
    "content": "import psutil\nimport os\n\ndef print_memory_usage():\n    process = psutil.Process(os.getpid())\n    mem_info = process.memory_info()\n    print(f\"Memory usage: {mem_info.rss / 1024 ** 2:.2f} MB\")  # RSS is the Resident Set Size\n\nif __name__ == \"__main__\":\n    print_memory_usage()\n    from pyxtal.symmetry import Group\n\n    print(\"\\nImport group\")\n    print_memory_usage()\n\n    print(\"\\nCreate layer Group with quick\")\n    g = Group(4, dim=2, quick=True)\n    print_memory_usage()\n\n    print(\"\\nCreate Group with quick\")\n    g = Group(4, quick=True)\n    print_memory_usage()\n\n    print(\"\\nCreate Group\")\n    g = Group(227)\n    print_memory_usage()\n\n    print(\"\\nCall pyxtal\")\n    from pyxtal import pyxtal\n    xtal = pyxtal()\n    xtal.from_spg_wps_rep(194, ['2c', '2b'], [2.46, 6.70])\n    print_memory_usage()\n\n    print(\"\\nCall subgroup\")\n    xtal.subgroup_once()\n    print_memory_usage()\n"
  },
  {
    "path": "tests/test_molecule.py",
    "content": "# python -m unittest pyxtal/test_all.py\nimport importlib.util\nimport os\nimport unittest\n\nimport pymatgen.analysis.structure_matcher as sm\nfrom pymatgen.core.structure import Molecule\nfrom pymatgen.symmetry.analyzer import SpacegroupAnalyzer\n\nfrom pyxtal import pyxtal\nfrom pyxtal.lattice import Lattice\nfrom pyxtal.molecule import pyxtal_molecule\nfrom pyxtal.symmetry import Group, Wyckoff_position\n\n\ndef resource_filename(package_name, resource_path):\n    package_path = importlib.util.find_spec(package_name).submodule_search_locations[0]\n    return os.path.join(package_path, resource_path)\n\n\ncif_path = resource_filename(\"pyxtal\", \"database/cifs/\")\nl01 = Lattice.from_matrix([[4.08, 0, 0], [0, 9.13, 0], [0, 0, 5.50]])\nl02 = Lattice.from_para(4.08, 9.13, 5.50, 90, 90, 90)\nwp1 = Wyckoff_position.from_group_and_index(36, 0)\nwp2 = Wyckoff_position.from_group_and_letter(36, \"4a\")\n\n\nclass TestMolecule(unittest.TestCase):\n    def test_get_orientations_in_wp(self):\n        m = pyxtal_molecule(\"Benzene\")\n        g = Group(61)\n        assert len(m.get_orientations_in_wp(g[0])) == 1\n        assert len(m.get_orientations_in_wp(g[1])) == 1\n        assert len(m.get_orientations_in_wp(g[2])) == 1\n\n\nclass TestMolecular(unittest.TestCase):\n    def test_single_specie(self):\n        struc = pyxtal(molecular=True)\n        struc.from_random(3, 36, [\"H2O\"], sites=[[\"8b\"]])\n        struc.to_file(\"tmp-molecular.cif\")\n        os.remove(\"tmp-molecular.cif\")\n        assert struc.valid\n\n        # test space group\n        pmg_struc = struc.to_pymatgen()\n        sga = SpacegroupAnalyzer(pmg_struc)\n        # print(sga.get_space_group_symbol())\n        assert sga.get_space_group_number() >= 36\n\n        # test rotation\n        struc.mol_sites[0].orientation.axis\n        struc.mol_sites[0].rotate(ax_vector=[1, 0, 0], angle=90)\n        pmg_struc = struc.to_pymatgen()\n        sga = SpacegroupAnalyzer(pmg_struc)\n        # pmg_struc.to(\"cif\", \"1.cif\")\n        assert sga.get_space_group_symbol() == \"Cmc2_1\"\n        # print(pmg_struc.frac_coords[:3])\n\n    def test_sites(self):\n        struc = pyxtal(molecular=True)\n        struc.from_random(3, 19, [\"H2O\"])\n        pmg_struc = struc.to_pymatgen()\n        sga = SpacegroupAnalyzer(pmg_struc)\n        assert sga.get_space_group_symbol() == \"P2_12_12_1\"\n\n        struc = pyxtal(molecular=True)\n        struc.from_random(3, 36, [\"H2O\"], [8], sites=[[\"4a\", \"4a\"]])\n        pmg_struc = struc.to_pymatgen()\n        sga = SpacegroupAnalyzer(pmg_struc)\n        assert sga.get_space_group_symbol() == \"Cmc2_1\"\n\n    def test_sites_xyz(self):\n        struc = pyxtal(molecular=True)\n        sites = [{\"4e\": [0.77, 0.57, 0.53]}]\n        lat = Lattice.from_para(11.43, 6.49, 11.19, 90, 83.31, 90, ltype=\"monoclinic\")\n        struc.from_random(3, 14, [\"aspirin\"], [4], lattice=lat, sites=sites)\n        assert struc.valid\n\n    def test_read(self):\n        # test reading structure from external\n        struc = pyxtal(molecular=True)\n        struc.from_seed(seed=cif_path + \"aspirin.cif\", molecules=[\"aspirin\"])\n        assert struc.lattice.ltype == \"monoclinic\"\n        pmg_struc = struc.to_pymatgen()\n        sga = SpacegroupAnalyzer(pmg_struc)\n        assert sga.get_space_group_symbol() == \"P2_1/c\"\n        C = struc.subgroup_once(eps=0, H=4)\n        pmg_s2 = C.to_pymatgen()\n        assert sm.StructureMatcher().fit(pmg_struc, pmg_s2)\n\n    def test_big_molecule(self):\n        # print(\"test_big_molecule\")\n        for mol in [\"ROY\", \"aspirin\"]:\n            struc = pyxtal(molecular=True)\n            struc.from_random(3, 19, [mol], factor=1.4)\n            assert struc.valid\n            pair = struc.check_short_distances()\n            if len(pair) > 0:\n                print(\"short distances were detected\")\n                print(mol)\n                print(pair)\n            assert len(pair) == 0\n\n    def test_from_random_site(self):\n        spg, wps, elements, numIons = 224, [[\"24j\"]], [\"C\"], [24]\n        for _i in range(10):\n            c = pyxtal()\n            c.from_random(3, spg, elements, numIons, sites=wps)\n            pair = c.check_short_distances(0.5)\n            assert len(pair) == 0\n\n    def test_c60(self):\n        struc = pyxtal(molecular=True)\n        struc.from_random(3, 36, [\"C60\"], [4], 1.0)\n        assert struc.valid\n\n    def test_mutiple_species(self):\n        Li = Molecule([\"Li\"], [[0.0, 0.0, 0.0]])\n        coords = [\n            [0.000000, 0.000000, 0.000000],\n            [1.200000, 1.200000, -1.200000],\n            [1.200000, -1.200000, 1.200000],\n            [-1.200000, 1.200000, 1.200000],\n            [-1.200000, -1.200000, -1.200000],\n        ]\n        ps4 = Molecule([\"P\", \"S\", \"S\", \"S\", \"S\"], coords)\n\n        for _i in range(3):\n            struc = pyxtal(molecular=True)\n            struc.from_random(3, 10, [Li, ps4], [6, 2], 1.2, conventional=False)\n            if struc.valid:\n                assert len(struc.to_pymatgen()) == 16\n\n    def test_distance(self):\n        Ag_xyz = \"\"\"1\n        AgC2N2H\n        Ag         4.30800        8.26300       -0.2200\n        \"\"\"\n\n        C2N2H7_xyz = \"\"\"12\n        AgC2N2H\n        H          5.95800        5.80600       -0.9530\n        N          5.24100        6.16800       -1.1210\n        N          2.23200        6.99000       -0.6820\n        C          4.02900        5.47000       -1.5870\n        C          2.78500        5.61100       -0.6610\n        H          3.69300        5.63500       -2.5830\n        H          4.17400        4.42800       -1.6990\n        H          3.12700        5.50500        0.4260\n        H          2.05000        5.01200       -0.9300\n        H          1.96000        7.20500       -1.3860\n        H          1.59400        6.99200       -0.0710\n        \"\"\"\n        with open(\"Ag.xyz\", \"w\") as f:\n            f.write(Ag_xyz)\n        with open(\"C2N2H7.xyz\", \"w\") as f:\n            f.write(C2N2H7_xyz)\n\n        for _i in range(10):\n            c = pyxtal(molecular=True)\n            c.from_random(3, 9, [\"Ag.xyz\", \"C2N2H7.xyz\"], [12, 12])\n            short_bonds = c.check_short_distances(r=1.1)\n            assert len(short_bonds) == 0\n        os.remove(\"Ag.xyz\")\n        os.remove(\"C2N2H7.xyz\")\n\n    def test_molecular_2d(self):\n        # print(\"test_molecular_2d\")\n        struc = pyxtal(molecular=True)\n        struc.from_random(2, 20, [\"H2O\"])\n        assert struc.valid\n\n    def test_molecular_1d(self):\n        struc = pyxtal(molecular=True)\n        struc.from_random(1, 20, [\"H2O\"])\n        assert struc.valid\n\n    def test_preassigned_sites(self):\n        sites = [[\"4a\", \"4a\"]]\n        struc = pyxtal(molecular=True)\n        struc.from_random(3, 36, [\"H2O\"], [8], sites=sites)\n        assert struc.valid\n\n    def test_special_sites(self):\n        struc = pyxtal(molecular=True)\n        struc.from_random(3, 61, [\"Benzene\"], [4])\n        assert struc.valid\n\nif __name__ == \"__main__\":\n    unittest.main()\n"
  },
  {
    "path": "tests/test_oc_relax.py",
    "content": "import os\nfrom pyxtal.db import database\nfrom pyxtal.optimize.common import optimizer\nfrom pyxtal.representation import representation\n\ndb = database(\"pyxtal/database/test.db\")\nrow = db.get_row(\"ACSALA\")\nxtal1 = db.get_pyxtal(\"ACSALA\")\nsmile = row.mol_smi\n\n# Prepare prm\nw_dir = \"tmp\"\nos.makedirs(w_dir, exist_ok=True)\n\nc_info = row.data[\"charmm_info\"]\nwith open(w_dir + \"/pyxtal.prm\", \"w\") as prm:\n    prm.write(c_info[\"prm\"])\nwith open(w_dir + \"/pyxtal.rtf\", \"w\") as rtf:\n    rtf.write(c_info[\"rtf\"])\n\nres = optimizer(xtal1, c_info, w_dir, skip_ani=True)\nxtal1, eng = res[\"xtal\"], res[\"energy\"]\nrep0 = xtal1.get_1D_representation()\nprint(rep0.to_string(eng))\n\ndata=\"\"\"\n82  7.48 14.98  8.83  89.3 1 0 0.63 0.99 0.72  119.2  -43.2 -162.6 -104.9    1.4 -162.2 0    # -20.229\n83 11.93  8.09 10.32 114.1 1 0 0.69 0.24 0.16  177.8    6.9  -50.4  -78.0   10.7 -179.0 0    # -21.083\n82 15.73  7.54  7.11  91.0 1 0 0.36 0.19 0.23   49.9   27.0  -60.6   72.5   15.9    4.6 0    # -21.806\n83 10.09  8.11 10.50  95.4 1 0 0.22 0.02 0.28   14.1   57.4  -97.6   68.8    3.7 -154.6 0    # -21.054\n81 10.09  9.68  8.95 101.9 1 0 0.22 0.47 0.24  -66.8   58.1   45.1 -119.2  -16.7 -158.4 0    # -21.673\n83 11.43  8.72 17.41  93.4 1 0 0.46 0.62 0.89  162.8   19.1  -30.6  -97.3  -10.0  173.3 0    # -20.371\n83  7.23 12.62 24.83  92.1 1 0 0.16 0.28 0.90  -17.9    0.9 -102.1 -139.0   10.5    4.1 0    # -20.165\n82  8.55  8.08 12.75  99.7 1 0 0.93 0.12 0.19   65.8  -20.1  -64.9  146.5    1.7    2.8 0    # -21.595\n82 21.78  6.34  6.37  89.1 1 0 0.87 0.07 0.17  -15.1   14.3   53.3   87.8    6.7   23.9 0    # -21.703\n81 10.64 24.45  6.54 105.8 1 0 0.75 0.99 1.00   26.7    2.6   58.9  -95.8   -8.9  -22.0 0    # -18.588\n81 17.91 11.03  8.54  77.7 1 0 0.60 0.19 0.65 -154.8   -0.5  153.4  -68.2  -11.6  160.8 0    # -19.887\n83 17.33  7.11  6.94  89.5 1 0 0.59 0.11 0.25   44.6  -18.0  -12.7   85.2    5.5    6.2 0    # -22.601\n83  7.38  9.45 12.02  85.0 1 0 0.75 0.29 0.73  -33.7    2.8   65.4 -139.0    1.4   -3.0 0    # -22.578\n81  7.62  7.19 16.62  78.4 1 0 0.72 0.14 0.36  -24.3   23.4 -100.0   79.2    5.4 -146.2 0    # -21.578\n81 20.29  6.30 11.11  82.9 1 0 0.36 0.58 0.52   43.6  -28.4 -151.6   84.9    6.1 -171.1 0    # -21.478\n83 13.60 10.68  5.91  89.5 1 0 0.61 0.79 0.01  -92.9   -8.4 -112.3   67.2   10.3   20.1 0    # -22.065\n83 12.90  7.43  9.82  68.4 1 0 0.46 0.40 0.31 -154.9    4.7 -127.4  -79.0    4.8 -178.9 0    # -21.339\n82 14.16  7.19  8.59  89.4 1 0 0.99 0.40 0.76  144.0   23.3    5.4 -131.3    1.8 -131.6 0    # -21.648\n82 10.69  8.58  9.58  92.7 1 0 0.40 0.91 0.70 -137.3  -14.1  102.0  -56.2    2.9  -26.2 0    # -21.350\n82  7.14  9.93 12.66  99.4 1 0 0.57 0.71 0.37  174.2   29.5  -82.0  -68.2   -3.7  -25.4 0    # -21.642\n82 12.81  9.29  7.47 106.4 1 0 0.51 0.76 0.08  -72.1  -53.4  -58.6   94.1   -5.0 -152.4 0    # -21.591\n83 15.45  5.42 10.42  74.5 1 0 0.58 0.88 0.25  114.9  -40.3  139.5 -131.8   14.4   -5.8 0    # -21.126\n83  7.17  8.80 14.96  76.6 1 0 0.70 0.52 0.78   98.0    7.9  -97.4 -140.3    1.0    6.0 0    # -20.570\n81  8.51  9.72 10.95  80.4 1 0 0.15 0.03 0.66 -105.6   48.1 -165.5   79.0    9.8 -164.2 0    # -20.798\n81 10.80  6.21 13.22 105.8 1 0 0.26 0.50 0.98   -7.0   16.5 -121.9   76.4   10.7   23.2 0    # -21.623\n83  9.75 17.07  5.49  79.8 1 0 0.79 0.40 0.34  -89.9  -31.1  131.5  124.1   -3.7 -164.8 0    # -21.549\n83  8.79 14.19  7.55 114.4 1 0 0.19 0.90 0.11  -14.5  -35.7  -41.2 -103.5   -1.9 -163.5 0    # -21.481\n82  9.50 11.03  8.50  76.8 1 0 0.92 0.26 0.44 -147.4   24.1  174.0   66.9   -5.9 -155.0 0    # -21.454\n82 18.63 11.08  4.05  92.5 1 0 0.14 0.68 0.50 -112.3  -30.7 -179.4 -140.1    6.3    7.5 0    # -22.506\n81  7.46 17.37  7.12 105.2 1 0 0.54 0.89 0.50    8.2   56.6  151.3  143.0    1.9  143.0 0    # -21.609\n82  9.60  9.16  9.92 102.9 1 0 0.46 0.76 0.31  -65.0   -7.7   51.9  -86.0    8.9 -174.2 0    # -21.469\n81  8.07 15.16  7.85 116.7 1 0 0.15 0.56 0.78  124.0   -7.5 -161.3  107.1   -4.5  164.5 0    # -20.655\n82  9.51  8.48 11.02 100.8 1 0 0.60 0.11 0.39   69.4  -45.4  130.6  116.5   -5.0  -28.0 0    # -21.952\n83  8.20 12.36  8.66  90.9 1 0 0.30 0.54 0.18  -73.6  -44.1  -81.7  -73.5   -4.2   -4.6 0    # -21.365\n82  9.39  9.43 10.22  65.5 1 0 0.82 0.06 0.41  -15.5   37.7   81.7  107.0   -6.7  166.0 0    # -21.372\n82  7.08 17.03  8.16  64.1 1 0 0.79 0.57 0.87   35.5    4.5   80.6  -73.7   -3.2   -5.8 0    # -21.481\n81  6.25  8.84 15.75  86.1 1 0 0.26 0.01 0.84   23.5    5.3   83.1   72.6    7.5 -161.0 0    # -21.397\n82  5.72 10.11 14.41 100.0 1 0 0.91 0.65 0.34  -80.8   44.0  -52.6  -62.4   -2.2  -40.9 0    # -21.069\n81 17.87  9.41  6.88  97.2 1 0 0.82 0.67 0.38  -96.0   -4.2 -164.9  148.0    4.4  -14.3 0    # -19.779\n81  7.29 14.97  8.03 101.2 1 0 0.46 0.88 0.98  -53.7  -66.0  138.7  137.1    0.8  -15.4 0    # -22.045\n82  6.71 19.21  6.60  76.0 1 0 0.05 0.59 0.73  -39.1   -1.1 -170.6 -122.2   -1.5   27.4 0    # -21.238\n\"\"\"\n\n# Split the data into lines\nlines = data.strip().splitlines()\n\nfor line in lines:\n    strs = line.split(\"#\")[0]; print('Ref', line)\n    rep = representation.from_string(strs, [smile])\n    xtal = rep.to_pyxtal()\n    res = optimizer(xtal, c_info, w_dir, skip_ani=True)\n    xtal2, eng = res[\"xtal\"], res[\"energy\"]\n    rep0 = xtal2.get_1D_representation()\n    print(rep0.to_string(eng))\n"
  },
  {
    "path": "tests/test_site_symm.py",
    "content": "from pyxtal.symmetry import Group\nimport csv\n\ndef csv_to_rst(csv_path, rst_path):\n    with open(csv_path, 'r') as csvfile, open(rst_path, 'w') as rstfile:\n        # Write RST header\n        rstfile.write(\"Wyckoff Positions\\n\")\n        rstfile.write(\"=================\\n\\n\")\n\n        # Read CSV\n        reader = csv.reader(csvfile)\n        headers = next(reader)\n\n        # Write table header\n        rstfile.write(\".. list-table::\\n\")\n        rstfile.write(\"   :header-rows: 1\\n\")\n        rstfile.write(\"   :widths: auto\\n\\n\")\n\n        # Write headers\n        rstfile.write(\"   * - \" + \"\\n     - \".join(headers) + \"\\n\")\n\n        # Write data rows\n        for row in reader:\n            rstfile.write(\"   * - \" + \"\\n     - \".join(row) + \"\\n\")\n\n\n\n# Open a CSV file for writing\nwith open('doc/wyckoff_positions.csv', 'w', newline='') as csvfile:\n    # Create CSV writer\n    csvwriter = csv.writer(csvfile)\n\n    # Write header\n    csvwriter.writerow(['Space Group Number', 'Space Group Symbol', 'Wyckoff Label', 'Site Symmetry'])\n\n    # Iterate through space groups\n    for g in range(1, 231):\n        spg = Group(g)\n        for wp in spg:\n            wp.get_site_symmetry()\n            # Write data row\n            csvwriter.writerow([spg.number, spg.symbol, wp.get_label(), wp.site_symm])\n\n# Convert CSV to RST\ncsv_to_rst('doc/wyckoff_positions.csv', 'doc/wyckoff_positions.rst')\n"
  },
  {
    "path": "tests/test_supergroup.py",
    "content": "# python -m unittest pyxtal/test_all.py\nimport importlib.util\nimport os\nimport unittest\n\nimport pymatgen.analysis.structure_matcher as sm\n\nfrom pyxtal import pyxtal\nfrom pyxtal.lattice import Lattice\nfrom pyxtal.supergroup import supergroup, supergroups\nfrom pyxtal.symmetry import Wyckoff_position\n\n\ndef resource_filename(package_name, resource_path):\n    package_path = importlib.util.find_spec(package_name).submodule_search_locations[0]\n    return os.path.join(package_path, resource_path)\n\n\ncif_path = resource_filename(\"pyxtal\", \"database/cifs/\")\nl01 = Lattice.from_matrix([[4.08, 0, 0], [0, 9.13, 0], [0, 0, 5.50]])\nl02 = Lattice.from_para(4.08, 9.13, 5.50, 90, 90, 90)\nwp1 = Wyckoff_position.from_group_and_index(36, 0)\nwp2 = Wyckoff_position.from_group_and_letter(36, \"4a\")\n\n\nclass TestSupergroup(unittest.TestCase):\n    def test_supergroup(self):\n        \"\"\"\n        call supergroup from pyxtal\n        \"\"\"\n        data = [\n            (\"NbO2\", 141, 5),\n        ]\n        for d in data:\n            (cif, g, N) = d\n            s = pyxtal()\n            s.from_seed(cif_path + cif + \".cif\")\n            strucs, sols = s.supergroup(g, 0.5)\n            assert len(strucs) > 0\n\n    def test_make_pyxtal(self):\n        data = {\n            # \"NbO2\": 141,\n            \"GeF2\": 62,\n            \"lt_quartz\": 180,\n            \"NiS-Cm\": 160,  # 9b->2a+4b\n        }\n        for cif in data:\n            s = pyxtal()\n            s.from_seed(cif_path + cif + \".cif\")\n            my = supergroup(s, G=data[cif])\n            sols = my.search_supergroup(max_solutions=1)\n            for sol in sols:\n                struc_high = my.make_pyxtal_in_supergroup(sol)\n                strucs = my.make_pyxtals_in_subgroup(sol, 3)\n                pmg1 = struc_high.to_pymatgen()\n                pmg2 = strucs[-1].to_pymatgen()\n                rms = sm.StructureMatcher().get_rms_dist(pmg1, pmg2)[0]\n                print(cif, rms)\n                assert rms < 0.001\n\n    def test_by_group(self):\n        data = {\n            \"BTO-Amm2\": 221,\n            \"BTO\": 221,\n            #\"lt_cristobalite\": 227,\n            \"NaSb3F10\": 194,\n        }\n        for cif in data:\n            s = pyxtal()\n            s.from_seed(cif_path + cif + \".cif\")\n            sup = supergroups(s, G=data[cif], show=False)\n            assert sup.strucs is not None\n\n    def test_by_path(self):\n        data = {\n            \"MPWO\": [59, 71, 139, 225],\n        }\n        for cif in data:\n            s = pyxtal()\n            s.from_seed(cif_path + cif + \".cif\")\n            sup = supergroups(s, path=data[cif], show=False)\n            assert sup.strucs is not None\n\n    def test_long(self):\n        paras = (\n            [\"I4_132\", 98],  # 1-3\n            [\"P3_112\", 5],  # 1-3\n            [\"P6_422\", 21],  # 1-3\n        )\n        for para in paras:\n            name, H = para\n            name = cif_path + name + \".cif\"\n            s = pyxtal()\n            s.from_seed(name)\n            pmg_s1 = s.to_pymatgen()\n            G = s.group.number\n            struc_h = s.subgroup_once(eps=0.05, H=H, mut_lat=False)\n            sup = supergroups(struc_h, G=G, d_tol=0.2, show=False, max_per_G=500)\n\n            if sup.strucs is None:\n                print(\"Problem in \", name)\n            assert sup.strucs is not None\n\n            match = False\n            for struc in sup.strucs:\n                pmg_g = struc.to_pymatgen()\n                if sm.StructureMatcher().fit(pmg_g, pmg_s1):\n                    match = True\n                    break\n            if not match:\n                print(\"Problem in \", name)\n            assert match\n\n    def test_long2(self):\n        paras = (\n            [\"P4_332\", 155],  # 1-4 splitting\n            #[\"Fd3\", 70],  # 1-3\n            [\"Pm3\", 47],  # 1-3\n            [\"Fd3m\", 166],\n            [\"R-3c\", 15],\n            #[\"R32\", 5],\n            [\"R-3\", 147],  # 1-3, k\n            [\"P4_332\", 96],  # 1-3\n        )\n        for para in paras:\n            name, H = para\n            name = cif_path + name + \".cif\"\n            s = pyxtal()\n            s.from_seed(name)\n            pmg_s1 = s.to_pymatgen()\n            G = s.group.number\n            struc_h = s.subgroup_once(eps=0, H=H, mut_lat=False)\n            my = supergroup(struc_h, G=G)\n            sols = my.search_supergroup(max_solutions=1)\n\n            if len(sols) == 0:\n                print(\"problem\", name)\n            assert len(sols) > 0\n\n            struc_high = my.make_pyxtal_in_supergroup(sols[0])\n            struc_sub = my.make_pyxtals_in_subgroup(sols[0], 3)[-1]\n\n            pmg_high = struc_high.to_pymatgen()\n            pmg_sub = struc_sub.to_pymatgen()\n\n            dist1 = sm.StructureMatcher().get_rms_dist(pmg_high, pmg_sub)[0]\n            dist2 = sm.StructureMatcher().get_rms_dist(pmg_s1, pmg_high)[0]\n            assert dist1 < 0.001\n            assert dist2 < 0.001\n\n    def test_multi(self):\n        data = {\n            \"BTO\": [123, 221],\n            \"lt_cristobalite\": [98, 210, 227],\n            #\"BTO-Amm2\": [65, 123, 221],\n            # \"NaSb3F10\": [186, 194],\n            # \"NaSb3F10\": [176, 194],\n            # \"MPWO\": [59, 71, 139, 225],\n        }\n        for cif in data:\n            s = pyxtal()\n            s.from_seed(cif_path + cif + \".cif\")\n            sup = supergroups(s, path=data[cif], show=False, max_per_G=2500)\n            strucs = sup.get_transformation()\n            pmg_0, pmg_1 = s.to_pymatgen(), sup.strucs[-1].to_pymatgen()\n            pmg_2, pmg_3 = strucs[0].to_pymatgen(), strucs[1].to_pymatgen()\n            dist1 = sm.StructureMatcher().get_rms_dist(pmg_0, pmg_2)[0]\n            dist2 = sm.StructureMatcher().get_rms_dist(pmg_1, pmg_3)[0]\n            print(cif, dist1, dist2)\n            if dist2 > 1e-3:\n                print(pmg_1)\n                print(pmg_3)\n            assert dist1 < 0.001\n            assert dist2 < 0.001\n\n    def test_similarity(self):\n        paras = [\n            (\"0-G62\", \"2-G71\"),\n            (\"0-G62\", \"3-G139\"),\n            # ('0-G62', '4-G225'),\n        ]\n        for para in paras:\n            (cif1, cif2) = para\n            s1 = pyxtal()\n            s2 = pyxtal()\n            s1.from_seed(cif_path + cif1 + \".cif\")\n            s2.from_seed(cif_path + cif2 + \".cif\")\n            pmg_s2 = s2.to_pymatgen()\n\n            strucs, _, _, _, _ = s2.get_transition(s1)\n\n            if strucs is None:\n                print(\"Problem between \", cif1, cif2)\n            else:\n                struc_G_in_H = strucs[-1]\n                s3 = pyxtal()\n                s3.from_seed(struc_G_in_H.to_pymatgen(), tol=1e-3)\n                pmg_s3 = s3.to_pymatgen()\n                dist = sm.StructureMatcher().get_rms_dist(pmg_s2, pmg_s3)[0]\n                assert dist < 0.001\n                assert s3.group.number == s2.group.number\n\n    def test_get_disp_sets(self):\n        s1 = pyxtal()\n        s1.from_seed(cif_path + \"dist_6_0.cif\")\n        s2 = pyxtal()\n        s2.from_seed(cif_path + \"dist_6_1.cif\")\n        _, _, _, d = s1.get_disps_sets(s2, 1.0)\n        assert d < 0.15\n\n        #s1 = pyxtal()\n        #s1.from_seed(cif_path + \"sim-0.vasp\")\n        #s2 = pyxtal()\n        #s2.from_seed(cif_path + \"sim-1.vasp\")\n        #_, _, _, d = s1.get_disps_sets(s2, 1.0, 0.3)\n        #assert d < 0.02\n\nif __name__ == \"__main__\":\n    unittest.main()\n"
  },
  {
    "path": "tests/test_symmetry.py",
    "content": "# python -m unittest pyxtal/test_all.py\nimport importlib.util\nimport os\nimport unittest\n\nfrom pyxtal.lattice import Lattice\nfrom pyxtal.symmetry import Group, Wyckoff_position, get_canonical_hkl, get_canonical_hkl_series\n\ndef resource_filename(package_name, resource_path):\n    package_path = importlib.util.find_spec(package_name).submodule_search_locations[0]\n    return os.path.join(package_path, resource_path)\n\ncif_path = resource_filename(\"pyxtal\", \"database/cifs/\")\nl01 = Lattice.from_matrix([[4.08, 0, 0], [0, 9.13, 0], [0, 0, 5.50]])\nl02 = Lattice.from_para(4.08, 9.13, 5.50, 90, 90, 90)\nwp1 = Wyckoff_position.from_group_and_index(36, 0)\nwp2 = Wyckoff_position.from_group_and_letter(36, \"4a\")\n\n\nclass TestSymmetry(unittest.TestCase):\n    def test_hexagonal_canonical_hkl_equivalence(self):\n        # Hexagonal space groups: 168-194\n        for spg in [168, 194]:\n            # (100), (010), and (1-10) are symmetry-equivalent in hexagonal\n            c1 = get_canonical_hkl(1, 0, 0, spg)\n            c2 = get_canonical_hkl(0, 1, 0, spg)\n            c3 = get_canonical_hkl(1, -1, 0, spg)\n            assert c1 == c2 == c3\n\n            # General hkl pair related by a 60-degree in-plane rotation\n            c4 = get_canonical_hkl(2, 1, 3, spg)\n            c5 = get_canonical_hkl(-1, 3, 3, spg)\n            assert c4 == c5\n\n    def test_hexagonal_canonical_hkl_series_equivalence(self):\n        spg = 194\n\n        # Two equivalent series under hexagonal in-plane rotations\n        s1 = [(1, 0, 0), (2, 1, 3)]\n        s2 = [(0, 1, 0), (-1, 3, 3)]\n\n        c1 = get_canonical_hkl_series(s1, spg)\n        c2 = get_canonical_hkl_series(s2, spg)\n        assert c1 == c2\n\n    def test_from_symops_wo_grou(self):\n        data = [\n        ([\"x, y, z\", \"-x, y+1/2, -z\"], 4, 6),\n        ([\"x, y, z\", \"-x+1/2, -y, z+1/2\", \"-x, y, z\", \"x+1/2, -y, z+1/2\"], 31, 155),\n        ([\"x, y, z\", \"-x, -y, -z\", \"-x+1/2, y+1/2, -z\", \"x+1/2, -y+1/2, z\"], 14, 83),\n        ([\"x, y, z\", \"-x, -y, -z\", \"-x+1/2, y+1/2, -z+1/2\", \"x+1/2, -y+1/2, z+1/2\"], 14, 82),\n        ]\n        for d in data:\n            (strs, spg, hall) = d\n            wp = Wyckoff_position.from_symops_wo_group(strs)\n            assert wp.number == spg\n            assert wp.hall_number == hall\n\n    def test_from_symops(self):\n        data = [\n        ([\"x, y, z\", \"-x, y+1/2, -z\"], 4, 6),\n        ([\"x, y, z\", \"-x+1/2, -y, z+1/2\", \"-x, y, z\", \"x+1/2, -y, z+1/2\"], 31, 155),\n        ]\n        for d in data:\n            (strs, spg, hall) = d\n            G = Group(spg)\n            wp = Wyckoff_position.from_symops(strs, G)\n            assert wp.number == spg\n            assert wp.hall_number == hall\n\n\n    def test_reflections(self):\n        # 141: hkl: h+k+l=2n\n        # hk0: h,k=2n\n\n        data = [(230, 1, 1, 1, False),\n                (229, 1, 1, 1, False),\n                (228, 2, 1, 1, False),\n                (228, 2, 2, 0, True),\n                (227, 1, 1, 1, True),\n                (227, 2, 2, 0, True),\n                (227, 2, 2, 2, True),\n                (228, 2, 2, 2, True),\n                (226, 2, 2, 2, True),\n                (226, 2, 2, 0, True),\n                (225, 1, 1, 1, True),\n                (225, 2, 2, 1, False),\n                (142, 1, 1, 2, True),\n                (141, 1, 1, 2, True),\n                (141, 2, 2, 1, False),\n                (127, 0, 0, 1, True),\n                (128, 0, 0, 1, False),\n                (62, 1, 1, 4, True),\n                (62, 2, 2, 0, True),\n                (36, 1, 1, 8, True),\n                (36, 2, 2, 0, True),\n                (18, 3, 0, 0, False),\n                (17, 0, 0, 1, False),\n                (14, 3, 0, 0, True),\n                (14, 0, 0, 3, False),\n                (12, 1, 2, 0, False),\n                (2, 2, 2, 0, True),\n                ]\n        for d in data:\n            (spg, h, k, l, expected) = d\n            G = Group(spg)\n            print(spg, h, k, l, G.is_valid_hkl(h, k, l), expected)\n            assert G.is_valid_hkl(h, k, l) == expected\n\n    def test_site_symms(self):\n\n        data = [\n            (146, \"3.\"),\n            (147, \"-1\", \"-1\", \"3..\", \"3..\", \"-3..\", \"-3..\"),\n            (148, \"-1\", \"-1\", \"3.\", \"-3.\", \"-3.\"),\n            (149, \"..2\", \"..2\", \"3..\", \"3..\", \"3..\", \"3.2\", \"3.2\", \"3.2\", \"3.2\", \"3.2\", \"3.2\"),\n            (150, \".2.\", \".2.\", \"3..\", \"3..\", \"32.\", \"32.\"),\n            (151, \"..2\", \"..2\"),\n            (152, \".2.\", \".2.\"),\n            (153, \"..2\", \"..2\"),\n            (154, \".2.\", \".2.\"),\n            (155, \".2\", \".2\", \"3.\", \"32\", \"32\"),\n            (156, \".m.\", \"3m.\", \"3m.\", \"3m.\"),\n            (157, \"..m\", \"3..\", \"3.m\"),\n            (158, \"3..\", \"3..\", \"3..\"),\n            (159, \"3..\", \"3..\"),\n            (160, \".m\", \"3m\"),\n            (161, \"3.\"),\n            (162, \"..m\", \"..2\", \"..2\", \"3..\", \"..2/m\", \"..2/m\", \"3.m\", \"3.2\", \"3.2\", \"-3.m\", \"-3.m\"),\n            (163, \"..2\", \"-1\", \"3..\", \"3..\", \"3.2\", \"3.2\", \"-3..\", \"3.2\"),\n            (164, \".m.\", \".2.\", \".2.\", \".2/m.\", \".2/m.\", \"3m.\", \"3m.\", \"-3m.\", \"-3m.\"),\n            (165, \".2.\", \"-1\", \"3..\", \"3..\", \"-3..\", \"32.\"),\n            (166, \".m\", \".2\", \".2\", \".2/m\", \".2/m\", \"3m\", \"-3m\", \"-3m\"),\n            (167, \".2\", \"-1\", \"3.\", \"-3.\", \"32\"),\n            (168, \"2..\", \"3..\", \"6..\"),\n            (171, \"2..\", \"2..\"),\n            (172, \"2..\", \"2..\"),\n            (173, \"3..\", \"3..\"),\n            (174, \"m..\", \"m..\", \"3..\", \"3..\", \"3..\", \"-6..\", \"-6..\", \"-6..\", \"-6..\", \"-6..\"),\n            (175, \"m..\", \"m..\", \"2..\", \"3..\", \"2/m..\", \"2/m..\", \"6..\", \"-6..\", \"-6..\", \"6/m..\", \"6/m..\"),\n            (176, \"m..\", \"-1\", \"3..\", \"3..\", \"-6..\", \"-6..\", \"-3..\", \"-6..\"),\n            (177, \"..2\", \"..2\", \".2.\", \".2.\", \"2..\", \"3..\", \"222\", \"222\", \"6..\", \"3.2\", \"3.2\", \"622\", \"622\"),\n            (178, \"..2\", \".2.\"),\n            (179, \"..2\", \".2.\"),\n            (180, \"..2\", \"..2\", \".2.\", \".2.\", \"2..\", \"2..\", \"222\", \"222\", \"222\", \"222\"),\n            (181, \"..2\", \"..2\", \".2.\", \".2.\", \"2..\", \"2..\", \"222\", \"222\", \"222\", \"222\"),\n            (182, \"..2\", \".2.\", \"3..\", \"3..\", \"3.2\", \"3.2\", \"3.2\", \"32.\"),\n            (183, \".m.\", \"..m\", \"2mm\", \"3m.\", \"6mm\"),\n            (184, \"2..\", \"3..\", \"6..\"),\n            (185, \"..m\", \"3..\", \"3.m\"),\n            (186, \".m.\", \"3m.\", \"3m.\"),\n            (187, \".m.\", \"m..\", \"m..\", \"mm2\", \"mm2\", \"3m.\", \"3m.\", \"3m.\", \"-6m2\", \"-6m2\", \"-6m2\", \"-6m2\", \"-6m2\", \"-6m2\"),\n            (188, \"m..\", \"..2\", \"3..\", \"3..\", \"3..\", \"-6..\", \"3.2\", \"-6..\", \"3.2\"),\n            (189, \"m..\", \"m..\", \"..m\", \"3..\", \"m2m\", \"m2m\", \"3.m\", \"-6..\", \"-6..\", \"-62m\", \"-62m\"),\n            (190, \"m..\", \".2.\", \"3..\", \"3..\", \"-6..\", \"-6..\", \"-6..\", \"32.\"),\n            (191, \"m..\", \"m..\", \".m.\", \"..m\", \"mm2\", \"mm2\", \"m2m\", \"m2m\", \"2mm\", \"3m.\", \"mmm\", \"mmm\", \"6mm\",\n             \"-6m2\", \"-6m2\", \"6/mmm\", \"6/mmm\"),\n            (192, \"m..\", \"..2\", \".2.\", \"2..\", \"3..\", \"2/m..\", \"222\", \"6..\", \"-6..\", \"3.2\", \"6/m..\", \"622\"),\n            (193, \"..m\", \"m..\", \"..2\", \"3..\", \"m2m\", \"..2/m\", \"3.m\", \"3.2\", \"-6..\", \"-3.m\", \"-62m\"),\n            (194, \".m.\", \"m..\", \".2.\", \"mm2\", \".2/m.\", \"3m.\", \"3m.\", \"-6m2\", \"-6m2\", \"-6m2\", \"-3m.\"),\n            ]\n        for d in data:\n            g = Group(d[0])\n            for i in range(1, len(d)):\n                wp = g[i]\n                wp.get_site_symmetry()\n                assert wp.site_symm == d[i]\n\n\nif __name__ == \"__main__\":\n    unittest.main()\n"
  },
  {
    "path": "tests/test_wyckoff.py",
    "content": "# python -m unittest pyxtal/test_all.py\nimport importlib.util\nimport os\nimport unittest\n\nimport numpy as np\n\nfrom pyxtal.lattice import Lattice\nfrom pyxtal.symmetry import Group, Wyckoff_position, get_wyckoffs\nfrom pyxtal.wyckoff_site import atom_site\n\n\ndef resource_filename(package_name, resource_path):\n    package_path = importlib.util.find_spec(package_name).submodule_search_locations[0]\n    return os.path.join(package_path, resource_path)\n\n\ncif_path = resource_filename(\"pyxtal\", \"database/cifs/\")\nl01 = Lattice.from_matrix([[4.08, 0, 0], [0, 9.13, 0], [0, 0, 5.50]])\nl02 = Lattice.from_para(4.08, 9.13, 5.50, 90, 90, 90)\nwp1 = Wyckoff_position.from_group_and_index(36, 0)\nwp2 = Wyckoff_position.from_group_and_letter(36, \"4a\")\n\n\nclass TestWP(unittest.TestCase):\n    def test_wp_check_translation(self):\n        pass\n\n    def test_wp_site_symm_obj(self):\n        for g in range(1, 231):\n            spg = Group(g)\n            for wp in spg:\n                wp.get_site_symmetry_object().to_one_hot()\n            spg.get_spg_symmetry_object().to_one_hot()\n\n\n    def test_wp_site_symm(self):\n        data = [\n            (143, 1, \"3..\"),\n            (150, 1, \".2.\"),\n            (152, 1, \".2.\"),\n            (154, 1, \".2.\"),\n            (155, 1, \".2\"),\n            (160, 1, \".m\"),\n            (160, 2, \"3m\"),\n            (164, 4, \".2/m.\"),\n            (165, 1, \".2.\"),\n            (177, 3, \".2.\"),\n            (178, 2, \".2.\"),\n            (180, 3, \".2.\"),\n            (181, 3, \".2.\"),\n            (230, 6, \".32\"),\n        ]\n        for d in data:\n            (sg, i, symbol) = d\n            wp = Group(sg)[i]\n            wp.get_site_symmetry()\n            if wp.site_symm != symbol: print(\"\\n========\", wp.site_symm, d, \"==========\\n\")\n            assert wp.site_symm == symbol\n\n    def test_wp_dof(self):\n        for sg in range(1, 231):\n            g = Group(sg)\n            for wp in g:\n                axs = wp.get_frozen_axis()\n                assert wp.get_dof() + len(axs) == 3\n\n    def test_wp_label(self):\n        symbol = wp1.get_label()\n        assert symbol == \"8b\"\n        symbol = wp2.get_label()\n        assert symbol == \"4a\"\n\n    def test_merge(self):\n        pt, wp, _ = wp1.merge([0.05, 0.7, 0.24], l01.matrix, 0.5)\n        symbol = wp.get_label()\n        assert symbol == \"4a\"\n        pt, wp, _ = wp1.merge([0.15, 0.7, 0.24], l01.matrix, 0.5)\n        symbol = wp.get_label()\n        assert symbol == \"8b\"\n\n        wp = Group(167)[0]\n        cell = np.diag([9, 9, 7])\n        for pt in [[0.12, 0, 0.25], [0, 0.1316, 0.25]]:\n            _, wpt, _ = wp.merge(pt, cell, 0.1)\n            symbol = wpt.get_label()\n            assert symbol == \"18e\"\n\n        for pt in [[0, 0, 3 / 4], [2 / 3, 1 / 3, 7 / 12]]:\n            _, wpt, _ = wp.merge(pt, cell, 0.1)\n            symbol = wpt.get_label()\n            assert symbol == \"6a\"\n\n    def test_search_generator(self):\n        wp = Group(167)[1]\n        for pt in [[0, 0.13, 0.25], [0.13, 0, 0.25]]:\n            wp0 = wp.search_generator(pt)\n            assert wp0 is not None\n\n    def test_get_wyckoff(self):\n        for i in [1, 2, 229, 230]:\n            get_wyckoffs(i)\n            get_wyckoffs(i, organized=True)\n\n    def test_setting(self):\n        wp = Group(14)[0]\n        wp.transform_from_matrix()\n        assert not wp.is_standard_setting()\n\n    def test_standarize(self):\n        pass\n\n    def test_is_equivalent(self):\n        g = Group(15)\n        wp = g[0]\n        a = [0.10052793, 0.12726851, 0.27405404]\n        b = [-0.10052642, -0.12726848, -0.27405526]\n        c = [0.60052642, 0.62726848, 0.27405526]\n        d = [-0.60052642, -0.62726848, -0.27405526]\n        e = [0, 2.54537267e-01, 0]\n        assert wp.are_equivalent_pts(a, b)\n        assert wp.are_equivalent_pts(b, c)\n        assert wp.are_equivalent_pts(d, a)\n        assert not wp.are_equivalent_pts(a, e)\n\n        wp = g[1]\n        a = [0.00, 0.127, 0.254]\n        b = [-0.01, -0.127, -0.250]\n        assert wp.are_equivalent_pts(a, b)\n\n    def test_project(self):\n        pt = np.array([0.0629, 0.1258, 0.25])\n        g = Group(178)\n        wp = g[1]\n        xyz0 = wp.project(pt, np.eye(3))\n        diff = np.sum((pt - xyz0) ** 2)\n        assert diff < 1e-08\n\n    def test_euclidean(self):\n        def check_error(spg, pt, cell):\n            p0 = np.dot(pt, cell.matrix)\n            for sg in spg:\n                wp = Group(sg)[0]\n                for i in range(len(wp)):\n                    op0 = wp[i]\n                    p1 = op0.operate(pt)\n\n                    op1 = wp.get_euclidean_generator(cell.matrix, i)\n                    if wp.euclidean:\n                        p2 = np.dot(op1.operate(p0), cell.inv_matrix)\n                    else:\n                        p2 = np.dot(op1.apply_rotation_only(p0), cell.inv_matrix)\n                        p2 += op1.translation_vector\n\n                    diff = p1 - p2\n                    diff -= np.rint(diff)\n                    if np.linalg.norm(diff) > 0.02:\n                        # res = '{:2d} {:28s}'.format(i, op0.as_xyz_str())\n                        # res += ' {:28s}'.format(op1.as_xyz_str())\n                        # res += '{:6.3f} {:6.3f} {:6.3f} -> '.format(*p1)\n                        # res += '{:6.3f} {:6.3f} {:6.3f} -> '.format(*p2)\n                        # res += '{:6.3f} {:6.3f} {:6.3f}'.format(*diff)\n                        # print(res)\n                        return False\n            return True\n\n        pt = [0.1333, 0.1496, 0.969]\n\n        cell = Lattice.from_para(9.395, 7.395, 8.350, 91, 101, 92, ltype=\"triclinic\")\n        assert check_error(range(1, 3), pt, cell)\n\n        cell = Lattice.from_para(9.395, 7.395, 8.350, 90, 101, 90, ltype=\"monoclinic\")\n        assert check_error(range(3, 16), pt, cell)\n\n        cell = Lattice.from_para(9.395, 7.395, 8.350, 90, 90, 90, ltype=\"orthorhombic\")\n        assert check_error(range(16, 74), pt, cell)\n\n        cell = Lattice.from_para(9.395, 9.395, 8.350, 90, 90, 90, ltype=\"tetragonal\")\n        assert check_error(range(74, 143), pt, cell)\n\n        cell = Lattice.from_para(9.395, 9.395, 8.350, 90, 90, 120, ltype=\"hexagonal\")\n        assert check_error(range(143, 195), pt, cell)\n\n        cell = Lattice.from_para(9.395, 9.395, 9.395, 90, 90, 90, ltype=\"cubic\")\n        assert check_error(range(195, 231), pt, cell)\n\n\nclass Test_wyckoff_site(unittest.TestCase):\n    def test_atom_site(self):\n        \"\"\"\n        Test the search function\n        \"\"\"\n        wp = Group(227)[-5]\n        arr = np.array([0.1, 0.1, 0.1])\n        for xyz in [\n            [0.6501, 0.15001, 0.5999],\n            [0.6501, 0.14999, 0.5999],\n            [0.6499, 0.14999, 0.5999],\n            [0.6499, 0.14999, 0.60001],\n        ]:\n            site = atom_site(wp, xyz, search=True)\n            assert np.allclose(site.position, arr, rtol=0.001)\n\nif __name__ == \"__main__\":\n    unittest.main()\n"
  },
  {
    "path": "tests/test_xrd.py",
    "content": "# python -m unittest pyxtal/test_all.py\nimport importlib.util\nimport os\nimport unittest\n\nfrom pyxtal import pyxtal\nfrom pyxtal.XRD import Similarity, check_pxrd_match\n\ndef resource_filename(package_name, resource_path):\n    package_path = importlib.util.find_spec(package_name).submodule_search_locations[0]\n    return os.path.join(package_path, resource_path)\n\ncif_path = resource_filename(\"pyxtal\", \"database/cifs/\")\n\nclass TestPXRD(unittest.TestCase):\n    def test_similarity(self):\n        C1 = pyxtal()\n        C1.from_random(3, 227, [\"C\"], [8], sites=[[\"8a\"]])\n        xrd1 = C1.get_XRD()\n        C2 = C1.subgroup_once(eps=1e-3)\n        xrd2 = C1.get_XRD()\n        p1 = xrd1.get_profile()\n        p2 = xrd2.get_profile()\n        s = Similarity(p1, p2, x_range=[15, 90])\n        assert 0.9 < s.value < 1.001\n\n        C2.apply_perturbation(1e-3, 1e-3)\n        xrd3 = C2.get_XRD()\n        xrd3.get_profile()\n        s = Similarity(p1, p2, x_range=[15, 90])\n        assert 0.95 < s.value < 1.001\n\n    def test_match(self):\n        dia = pyxtal()\n        dia.from_prototype('diamond')\n        xrd = dia.get_XRD()\n        pxrd1 = xrd.get_profile(res=0.25, user_kwargs={\"FWHM\": 0.25})\n        assert check_pxrd_match(dia, pxrd1) > 0.8\n        sub = dia.subgroup_once(H=141, eps=0.025)\n        sub = sub.subgroup_once(H=74, eps=0.01)\n        sub = sub.subgroup_once(H=12, eps=0.01)\n        assert check_pxrd_match(sub, pxrd1, s_tol=0.7) > 0.7\n\n\nif __name__ == \"__main__\":\n    unittest.main()\n"
  }
]